From 18dcce3b898ab1939a019f2a3be2b1b3ccafc6b2 Mon Sep 17 00:00:00 2001
From: ModelHub XC <noreply@modelhub.org.cn>
Date: Sun, 4 Oct 2026 04:57:18 +0800
Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?=
 =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?=
 =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Model: fpadovani/swe-latn-100mb-after-ppt-Dp-10mb-ckpt500_seed3407
Source: Original Platform
---
 .gitattributes                           |    35 +
 README.md                                |    58 +
 added_tokens.json                        |  1202 +
 checkpoint-1000/added_tokens.json        |  1202 +
 checkpoint-1000/config.json              |    34 +
 checkpoint-1000/generation_config.json   |     9 +
 checkpoint-1000/model.safetensors        |     3 +
 checkpoint-1000/rng_state.pth            |     3 +
 checkpoint-1000/special_tokens_map.json  |  1249 ++
 checkpoint-1000/spiece.model             |     3 +
 checkpoint-1000/tokenizer_config.json    | 10825 +++++++++
 checkpoint-1000/trainer_state.json       |  2056 ++
 checkpoint-1000/training_args.bin        |     3 +
 checkpoint-10000/added_tokens.json       |  1202 +
 checkpoint-10000/config.json             |    34 +
 checkpoint-10000/generation_config.json  |     9 +
 checkpoint-10000/model.safetensors       |     3 +
 checkpoint-10000/rng_state.pth           |     3 +
 checkpoint-10000/special_tokens_map.json |  1249 ++
 checkpoint-10000/spiece.model            |     3 +
 checkpoint-10000/tokenizer_config.json   | 10825 +++++++++
 checkpoint-10000/trainer_state.json      | 20254 +++++++++++++++++
 checkpoint-10000/training_args.bin       |     3 +
 checkpoint-10500/added_tokens.json       |  1202 +
 checkpoint-10500/config.json             |    34 +
 checkpoint-10500/generation_config.json  |     9 +
 checkpoint-10500/model.safetensors       |     3 +
 checkpoint-10500/rng_state.pth           |     3 +
 checkpoint-10500/special_tokens_map.json |  1249 ++
 checkpoint-10500/spiece.model            |     3 +
 checkpoint-10500/tokenizer_config.json   | 10825 +++++++++
 checkpoint-10500/trainer_state.json      | 21265 ++++++++++++++++++
 checkpoint-10500/training_args.bin       |     3 +
 checkpoint-11000/added_tokens.json       |  1202 +
 checkpoint-11000/config.json             |    34 +
 checkpoint-11000/generation_config.json  |     9 +
 checkpoint-11000/model.safetensors       |     3 +
 checkpoint-11000/rng_state.pth           |     3 +
 checkpoint-11000/special_tokens_map.json |  1249 ++
 checkpoint-11000/spiece.model            |     3 +
 checkpoint-11000/tokenizer_config.json   | 10825 +++++++++
 checkpoint-11000/trainer_state.json      | 22276 +++++++++++++++++++
 checkpoint-11000/training_args.bin       |     3 +
 checkpoint-11500/added_tokens.json       |  1202 +
 checkpoint-11500/config.json             |    34 +
 checkpoint-11500/generation_config.json  |     9 +
 checkpoint-11500/model.safetensors       |     3 +
 checkpoint-11500/rng_state.pth           |     3 +
 checkpoint-11500/special_tokens_map.json |  1249 ++
 checkpoint-11500/spiece.model            |     3 +
 checkpoint-11500/tokenizer_config.json   | 10825 +++++++++
 checkpoint-11500/trainer_state.json      | 23287 ++++++++++++++++++++
 checkpoint-11500/training_args.bin       |     3 +
 checkpoint-12000/added_tokens.json       |  1202 +
 checkpoint-12000/config.json             |    34 +
 checkpoint-12000/generation_config.json  |     9 +
 checkpoint-12000/model.safetensors       |     3 +
 checkpoint-12000/rng_state.pth           |     3 +
 checkpoint-12000/special_tokens_map.json |  1249 ++
 checkpoint-12000/spiece.model            |     3 +
 checkpoint-12000/tokenizer_config.json   | 10825 +++++++++
 checkpoint-12000/trainer_state.json      | 24298 ++++++++++++++++++++
 checkpoint-12000/training_args.bin       |     3 +
 checkpoint-12060/added_tokens.json       |  1202 +
 checkpoint-12060/config.json             |    34 +
 checkpoint-12060/generation_config.json  |     9 +
 checkpoint-12060/model.safetensors       |     3 +
 checkpoint-12060/rng_state.pth           |     3 +
 checkpoint-12060/special_tokens_map.json |  1249 ++
 checkpoint-12060/spiece.model            |     3 +
 checkpoint-12060/tokenizer_config.json   | 10825 +++++++++
 checkpoint-12060/trainer_state.json      | 24418 +++++++++++++++++++++
 checkpoint-12060/training_args.bin       |     3 +
 checkpoint-1500/added_tokens.json        |  1202 +
 checkpoint-1500/config.json              |    34 +
 checkpoint-1500/generation_config.json   |     9 +
 checkpoint-1500/model.safetensors        |     3 +
 checkpoint-1500/rng_state.pth            |     3 +
 checkpoint-1500/special_tokens_map.json  |  1249 ++
 checkpoint-1500/spiece.model             |     3 +
 checkpoint-1500/tokenizer_config.json    | 10825 +++++++++
 checkpoint-1500/trainer_state.json       |  3067 +++
 checkpoint-1500/training_args.bin        |     3 +
 checkpoint-2000/added_tokens.json        |  1202 +
 checkpoint-2000/config.json              |    34 +
 checkpoint-2000/generation_config.json   |     9 +
 checkpoint-2000/model.safetensors        |     3 +
 checkpoint-2000/rng_state.pth            |     3 +
 checkpoint-2000/special_tokens_map.json  |  1249 ++
 checkpoint-2000/spiece.model             |     3 +
 checkpoint-2000/tokenizer_config.json    | 10825 +++++++++
 checkpoint-2000/trainer_state.json       |  4078 ++++
 checkpoint-2000/training_args.bin        |     3 +
 checkpoint-2500/added_tokens.json        |  1202 +
 checkpoint-2500/config.json              |    34 +
 checkpoint-2500/generation_config.json   |     9 +
 checkpoint-2500/model.safetensors        |     3 +
 checkpoint-2500/rng_state.pth            |     3 +
 checkpoint-2500/special_tokens_map.json  |  1249 ++
 checkpoint-2500/spiece.model             |     3 +
 checkpoint-2500/tokenizer_config.json    | 10825 +++++++++
 checkpoint-2500/trainer_state.json       |  5089 +++++
 checkpoint-2500/training_args.bin        |     3 +
 checkpoint-3000/added_tokens.json        |  1202 +
 checkpoint-3000/config.json              |    34 +
 checkpoint-3000/generation_config.json   |     9 +
 checkpoint-3000/model.safetensors        |     3 +
 checkpoint-3000/rng_state.pth            |     3 +
 checkpoint-3000/special_tokens_map.json  |  1249 ++
 checkpoint-3000/spiece.model             |     3 +
 checkpoint-3000/tokenizer_config.json    | 10825 +++++++++
 checkpoint-3000/trainer_state.json       |  6100 +++++
 checkpoint-3000/training_args.bin        |     3 +
 checkpoint-3500/added_tokens.json        |  1202 +
 checkpoint-3500/config.json              |    34 +
 checkpoint-3500/generation_config.json   |     9 +
 checkpoint-3500/model.safetensors        |     3 +
 checkpoint-3500/rng_state.pth            |     3 +
 checkpoint-3500/special_tokens_map.json  |  1249 ++
 checkpoint-3500/spiece.model             |     3 +
 checkpoint-3500/tokenizer_config.json    | 10825 +++++++++
 checkpoint-3500/trainer_state.json       |  7111 ++++++
 checkpoint-3500/training_args.bin        |     3 +
 checkpoint-4000/added_tokens.json        |  1202 +
 checkpoint-4000/config.json              |    34 +
 checkpoint-4000/generation_config.json   |     9 +
 checkpoint-4000/model.safetensors        |     3 +
 checkpoint-4000/rng_state.pth            |     3 +
 checkpoint-4000/special_tokens_map.json  |  1249 ++
 checkpoint-4000/spiece.model             |     3 +
 checkpoint-4000/tokenizer_config.json    | 10825 +++++++++
 checkpoint-4000/trainer_state.json       |  8122 +++++++
 checkpoint-4000/training_args.bin        |     3 +
 checkpoint-4500/added_tokens.json        |  1202 +
 checkpoint-4500/config.json              |    34 +
 checkpoint-4500/generation_config.json   |     9 +
 checkpoint-4500/model.safetensors        |     3 +
 checkpoint-4500/rng_state.pth            |     3 +
 checkpoint-4500/special_tokens_map.json  |  1249 ++
 checkpoint-4500/spiece.model             |     3 +
 checkpoint-4500/tokenizer_config.json    | 10825 +++++++++
 checkpoint-4500/trainer_state.json       |  9133 ++++++++
 checkpoint-4500/training_args.bin        |     3 +
 checkpoint-500/added_tokens.json         |  1202 +
 checkpoint-500/config.json               |    34 +
 checkpoint-500/generation_config.json    |     9 +
 checkpoint-500/model.safetensors         |     3 +
 checkpoint-500/rng_state.pth             |     3 +
 checkpoint-500/special_tokens_map.json   |  1249 ++
 checkpoint-500/spiece.model              |     3 +
 checkpoint-500/tokenizer_config.json     | 10825 +++++++++
 checkpoint-500/trainer_state.json        |  1045 +
 checkpoint-500/training_args.bin         |     3 +
 checkpoint-5000/added_tokens.json        |  1202 +
 checkpoint-5000/config.json              |    34 +
 checkpoint-5000/generation_config.json   |     9 +
 checkpoint-5000/model.safetensors        |     3 +
 checkpoint-5000/rng_state.pth            |     3 +
 checkpoint-5000/special_tokens_map.json  |  1249 ++
 checkpoint-5000/spiece.model             |     3 +
 checkpoint-5000/tokenizer_config.json    | 10825 +++++++++
 checkpoint-5000/trainer_state.json       | 10144 +++++++++
 checkpoint-5000/training_args.bin        |     3 +
 checkpoint-5500/added_tokens.json        |  1202 +
 checkpoint-5500/config.json              |    34 +
 checkpoint-5500/generation_config.json   |     9 +
 checkpoint-5500/model.safetensors        |     3 +
 checkpoint-5500/rng_state.pth            |     3 +
 checkpoint-5500/special_tokens_map.json  |  1249 ++
 checkpoint-5500/spiece.model             |     3 +
 checkpoint-5500/tokenizer_config.json    | 10825 +++++++++
 checkpoint-5500/trainer_state.json       | 11155 ++++++++++
 checkpoint-5500/training_args.bin        |     3 +
 checkpoint-6000/added_tokens.json        |  1202 +
 checkpoint-6000/config.json              |    34 +
 checkpoint-6000/generation_config.json   |     9 +
 checkpoint-6000/model.safetensors        |     3 +
 checkpoint-6000/rng_state.pth            |     3 +
 checkpoint-6000/special_tokens_map.json  |  1249 ++
 checkpoint-6000/spiece.model             |     3 +
 checkpoint-6000/tokenizer_config.json    | 10825 +++++++++
 checkpoint-6000/trainer_state.json       | 12166 ++++++++++
 checkpoint-6000/training_args.bin        |     3 +
 checkpoint-6500/added_tokens.json        |  1202 +
 checkpoint-6500/config.json              |    34 +
 checkpoint-6500/generation_config.json   |     9 +
 checkpoint-6500/model.safetensors        |     3 +
 checkpoint-6500/rng_state.pth            |     3 +
 checkpoint-6500/special_tokens_map.json  |  1249 ++
 checkpoint-6500/spiece.model             |     3 +
 checkpoint-6500/tokenizer_config.json    | 10825 +++++++++
 checkpoint-6500/trainer_state.json       | 13177 +++++++++++
 checkpoint-6500/training_args.bin        |     3 +
 checkpoint-7000/added_tokens.json        |  1202 +
 checkpoint-7000/config.json              |    34 +
 checkpoint-7000/generation_config.json   |     9 +
 checkpoint-7000/model.safetensors        |     3 +
 checkpoint-7000/rng_state.pth            |     3 +
 checkpoint-7000/special_tokens_map.json  |  1249 ++
 checkpoint-7000/spiece.model             |     3 +
 checkpoint-7000/tokenizer_config.json    | 10825 +++++++++
 checkpoint-7000/trainer_state.json       | 14188 ++++++++++++
 checkpoint-7000/training_args.bin        |     3 +
 checkpoint-7500/added_tokens.json        |  1202 +
 checkpoint-7500/config.json              |    34 +
 checkpoint-7500/generation_config.json   |     9 +
 checkpoint-7500/model.safetensors        |     3 +
 checkpoint-7500/rng_state.pth            |     3 +
 checkpoint-7500/special_tokens_map.json  |  1249 ++
 checkpoint-7500/spiece.model             |     3 +
 checkpoint-7500/tokenizer_config.json    | 10825 +++++++++
 checkpoint-7500/trainer_state.json       | 15199 +++++++++++++
 checkpoint-7500/training_args.bin        |     3 +
 checkpoint-8000/added_tokens.json        |  1202 +
 checkpoint-8000/config.json              |    34 +
 checkpoint-8000/generation_config.json   |     9 +
 checkpoint-8000/model.safetensors        |     3 +
 checkpoint-8000/rng_state.pth            |     3 +
 checkpoint-8000/special_tokens_map.json  |  1249 ++
 checkpoint-8000/spiece.model             |     3 +
 checkpoint-8000/tokenizer_config.json    | 10825 +++++++++
 checkpoint-8000/trainer_state.json       | 16210 ++++++++++++++
 checkpoint-8000/training_args.bin        |     3 +
 checkpoint-8500/added_tokens.json        |  1202 +
 checkpoint-8500/config.json              |    34 +
 checkpoint-8500/generation_config.json   |     9 +
 checkpoint-8500/model.safetensors        |     3 +
 checkpoint-8500/rng_state.pth            |     3 +
 checkpoint-8500/special_tokens_map.json  |  1249 ++
 checkpoint-8500/spiece.model             |     3 +
 checkpoint-8500/tokenizer_config.json    | 10825 +++++++++
 checkpoint-8500/trainer_state.json       | 17221 +++++++++++++++
 checkpoint-8500/training_args.bin        |     3 +
 checkpoint-9000/added_tokens.json        |  1202 +
 checkpoint-9000/config.json              |    34 +
 checkpoint-9000/generation_config.json   |     9 +
 checkpoint-9000/model.safetensors        |     3 +
 checkpoint-9000/rng_state.pth            |     3 +
 checkpoint-9000/special_tokens_map.json  |  1249 ++
 checkpoint-9000/spiece.model             |     3 +
 checkpoint-9000/tokenizer_config.json    | 10825 +++++++++
 checkpoint-9000/trainer_state.json       | 18232 +++++++++++++++
 checkpoint-9000/training_args.bin        |     3 +
 checkpoint-9500/added_tokens.json        |  1202 +
 checkpoint-9500/config.json              |    34 +
 checkpoint-9500/generation_config.json   |     9 +
 checkpoint-9500/model.safetensors        |     3 +
 checkpoint-9500/rng_state.pth            |     3 +
 checkpoint-9500/special_tokens_map.json  |  1249 ++
 checkpoint-9500/spiece.model             |     3 +
 checkpoint-9500/tokenizer_config.json    | 10825 +++++++++
 checkpoint-9500/trainer_state.json       | 19243 ++++++++++++++++
 checkpoint-9500/training_args.bin        |     3 +
 config.json                              |    34 +
 generation_config.json                   |     9 +
 model.safetensors                        |     3 +
 special_tokens_map.json                  |  1249 ++
 spiece.model                             |     3 +
 tokenizer_config.json                    | 10825 +++++++++
 training_args.bin                        |     3 +
 260 files changed, 675230 insertions(+)
 create mode 100644 .gitattributes
 create mode 100644 README.md
 create mode 100644 added_tokens.json
 create mode 100644 checkpoint-1000/added_tokens.json
 create mode 100644 checkpoint-1000/config.json
 create mode 100644 checkpoint-1000/generation_config.json
 create mode 100644 checkpoint-1000/model.safetensors
 create mode 100644 checkpoint-1000/rng_state.pth
 create mode 100644 checkpoint-1000/special_tokens_map.json
 create mode 100644 checkpoint-1000/spiece.model
 create mode 100644 checkpoint-1000/tokenizer_config.json
 create mode 100644 checkpoint-1000/trainer_state.json
 create mode 100644 checkpoint-1000/training_args.bin
 create mode 100644 checkpoint-10000/added_tokens.json
 create mode 100644 checkpoint-10000/config.json
 create mode 100644 checkpoint-10000/generation_config.json
 create mode 100644 checkpoint-10000/model.safetensors
 create mode 100644 checkpoint-10000/rng_state.pth
 create mode 100644 checkpoint-10000/special_tokens_map.json
 create mode 100644 checkpoint-10000/spiece.model
 create mode 100644 checkpoint-10000/tokenizer_config.json
 create mode 100644 checkpoint-10000/trainer_state.json
 create mode 100644 checkpoint-10000/training_args.bin
 create mode 100644 checkpoint-10500/added_tokens.json
 create mode 100644 checkpoint-10500/config.json
 create mode 100644 checkpoint-10500/generation_config.json
 create mode 100644 checkpoint-10500/model.safetensors
 create mode 100644 checkpoint-10500/rng_state.pth
 create mode 100644 checkpoint-10500/special_tokens_map.json
 create mode 100644 checkpoint-10500/spiece.model
 create mode 100644 checkpoint-10500/tokenizer_config.json
 create mode 100644 checkpoint-10500/trainer_state.json
 create mode 100644 checkpoint-10500/training_args.bin
 create mode 100644 checkpoint-11000/added_tokens.json
 create mode 100644 checkpoint-11000/config.json
 create mode 100644 checkpoint-11000/generation_config.json
 create mode 100644 checkpoint-11000/model.safetensors
 create mode 100644 checkpoint-11000/rng_state.pth
 create mode 100644 checkpoint-11000/special_tokens_map.json
 create mode 100644 checkpoint-11000/spiece.model
 create mode 100644 checkpoint-11000/tokenizer_config.json
 create mode 100644 checkpoint-11000/trainer_state.json
 create mode 100644 checkpoint-11000/training_args.bin
 create mode 100644 checkpoint-11500/added_tokens.json
 create mode 100644 checkpoint-11500/config.json
 create mode 100644 checkpoint-11500/generation_config.json
 create mode 100644 checkpoint-11500/model.safetensors
 create mode 100644 checkpoint-11500/rng_state.pth
 create mode 100644 checkpoint-11500/special_tokens_map.json
 create mode 100644 checkpoint-11500/spiece.model
 create mode 100644 checkpoint-11500/tokenizer_config.json
 create mode 100644 checkpoint-11500/trainer_state.json
 create mode 100644 checkpoint-11500/training_args.bin
 create mode 100644 checkpoint-12000/added_tokens.json
 create mode 100644 checkpoint-12000/config.json
 create mode 100644 checkpoint-12000/generation_config.json
 create mode 100644 checkpoint-12000/model.safetensors
 create mode 100644 checkpoint-12000/rng_state.pth
 create mode 100644 checkpoint-12000/special_tokens_map.json
 create mode 100644 checkpoint-12000/spiece.model
 create mode 100644 checkpoint-12000/tokenizer_config.json
 create mode 100644 checkpoint-12000/trainer_state.json
 create mode 100644 checkpoint-12000/training_args.bin
 create mode 100644 checkpoint-12060/added_tokens.json
 create mode 100644 checkpoint-12060/config.json
 create mode 100644 checkpoint-12060/generation_config.json
 create mode 100644 checkpoint-12060/model.safetensors
 create mode 100644 checkpoint-12060/rng_state.pth
 create mode 100644 checkpoint-12060/special_tokens_map.json
 create mode 100644 checkpoint-12060/spiece.model
 create mode 100644 checkpoint-12060/tokenizer_config.json
 create mode 100644 checkpoint-12060/trainer_state.json
 create mode 100644 checkpoint-12060/training_args.bin
 create mode 100644 checkpoint-1500/added_tokens.json
 create mode 100644 checkpoint-1500/config.json
 create mode 100644 checkpoint-1500/generation_config.json
 create mode 100644 checkpoint-1500/model.safetensors
 create mode 100644 checkpoint-1500/rng_state.pth
 create mode 100644 checkpoint-1500/special_tokens_map.json
 create mode 100644 checkpoint-1500/spiece.model
 create mode 100644 checkpoint-1500/tokenizer_config.json
 create mode 100644 checkpoint-1500/trainer_state.json
 create mode 100644 checkpoint-1500/training_args.bin
 create mode 100644 checkpoint-2000/added_tokens.json
 create mode 100644 checkpoint-2000/config.json
 create mode 100644 checkpoint-2000/generation_config.json
 create mode 100644 checkpoint-2000/model.safetensors
 create mode 100644 checkpoint-2000/rng_state.pth
 create mode 100644 checkpoint-2000/special_tokens_map.json
 create mode 100644 checkpoint-2000/spiece.model
 create mode 100644 checkpoint-2000/tokenizer_config.json
 create mode 100644 checkpoint-2000/trainer_state.json
 create mode 100644 checkpoint-2000/training_args.bin
 create mode 100644 checkpoint-2500/added_tokens.json
 create mode 100644 checkpoint-2500/config.json
 create mode 100644 checkpoint-2500/generation_config.json
 create mode 100644 checkpoint-2500/model.safetensors
 create mode 100644 checkpoint-2500/rng_state.pth
 create mode 100644 checkpoint-2500/special_tokens_map.json
 create mode 100644 checkpoint-2500/spiece.model
 create mode 100644 checkpoint-2500/tokenizer_config.json
 create mode 100644 checkpoint-2500/trainer_state.json
 create mode 100644 checkpoint-2500/training_args.bin
 create mode 100644 checkpoint-3000/added_tokens.json
 create mode 100644 checkpoint-3000/config.json
 create mode 100644 checkpoint-3000/generation_config.json
 create mode 100644 checkpoint-3000/model.safetensors
 create mode 100644 checkpoint-3000/rng_state.pth
 create mode 100644 checkpoint-3000/special_tokens_map.json
 create mode 100644 checkpoint-3000/spiece.model
 create mode 100644 checkpoint-3000/tokenizer_config.json
 create mode 100644 checkpoint-3000/trainer_state.json
 create mode 100644 checkpoint-3000/training_args.bin
 create mode 100644 checkpoint-3500/added_tokens.json
 create mode 100644 checkpoint-3500/config.json
 create mode 100644 checkpoint-3500/generation_config.json
 create mode 100644 checkpoint-3500/model.safetensors
 create mode 100644 checkpoint-3500/rng_state.pth
 create mode 100644 checkpoint-3500/special_tokens_map.json
 create mode 100644 checkpoint-3500/spiece.model
 create mode 100644 checkpoint-3500/tokenizer_config.json
 create mode 100644 checkpoint-3500/trainer_state.json
 create mode 100644 checkpoint-3500/training_args.bin
 create mode 100644 checkpoint-4000/added_tokens.json
 create mode 100644 checkpoint-4000/config.json
 create mode 100644 checkpoint-4000/generation_config.json
 create mode 100644 checkpoint-4000/model.safetensors
 create mode 100644 checkpoint-4000/rng_state.pth
 create mode 100644 checkpoint-4000/special_tokens_map.json
 create mode 100644 checkpoint-4000/spiece.model
 create mode 100644 checkpoint-4000/tokenizer_config.json
 create mode 100644 checkpoint-4000/trainer_state.json
 create mode 100644 checkpoint-4000/training_args.bin
 create mode 100644 checkpoint-4500/added_tokens.json
 create mode 100644 checkpoint-4500/config.json
 create mode 100644 checkpoint-4500/generation_config.json
 create mode 100644 checkpoint-4500/model.safetensors
 create mode 100644 checkpoint-4500/rng_state.pth
 create mode 100644 checkpoint-4500/special_tokens_map.json
 create mode 100644 checkpoint-4500/spiece.model
 create mode 100644 checkpoint-4500/tokenizer_config.json
 create mode 100644 checkpoint-4500/trainer_state.json
 create mode 100644 checkpoint-4500/training_args.bin
 create mode 100644 checkpoint-500/added_tokens.json
 create mode 100644 checkpoint-500/config.json
 create mode 100644 checkpoint-500/generation_config.json
 create mode 100644 checkpoint-500/model.safetensors
 create mode 100644 checkpoint-500/rng_state.pth
 create mode 100644 checkpoint-500/special_tokens_map.json
 create mode 100644 checkpoint-500/spiece.model
 create mode 100644 checkpoint-500/tokenizer_config.json
 create mode 100644 checkpoint-500/trainer_state.json
 create mode 100644 checkpoint-500/training_args.bin
 create mode 100644 checkpoint-5000/added_tokens.json
 create mode 100644 checkpoint-5000/config.json
 create mode 100644 checkpoint-5000/generation_config.json
 create mode 100644 checkpoint-5000/model.safetensors
 create mode 100644 checkpoint-5000/rng_state.pth
 create mode 100644 checkpoint-5000/special_tokens_map.json
 create mode 100644 checkpoint-5000/spiece.model
 create mode 100644 checkpoint-5000/tokenizer_config.json
 create mode 100644 checkpoint-5000/trainer_state.json
 create mode 100644 checkpoint-5000/training_args.bin
 create mode 100644 checkpoint-5500/added_tokens.json
 create mode 100644 checkpoint-5500/config.json
 create mode 100644 checkpoint-5500/generation_config.json
 create mode 100644 checkpoint-5500/model.safetensors
 create mode 100644 checkpoint-5500/rng_state.pth
 create mode 100644 checkpoint-5500/special_tokens_map.json
 create mode 100644 checkpoint-5500/spiece.model
 create mode 100644 checkpoint-5500/tokenizer_config.json
 create mode 100644 checkpoint-5500/trainer_state.json
 create mode 100644 checkpoint-5500/training_args.bin
 create mode 100644 checkpoint-6000/added_tokens.json
 create mode 100644 checkpoint-6000/config.json
 create mode 100644 checkpoint-6000/generation_config.json
 create mode 100644 checkpoint-6000/model.safetensors
 create mode 100644 checkpoint-6000/rng_state.pth
 create mode 100644 checkpoint-6000/special_tokens_map.json
 create mode 100644 checkpoint-6000/spiece.model
 create mode 100644 checkpoint-6000/tokenizer_config.json
 create mode 100644 checkpoint-6000/trainer_state.json
 create mode 100644 checkpoint-6000/training_args.bin
 create mode 100644 checkpoint-6500/added_tokens.json
 create mode 100644 checkpoint-6500/config.json
 create mode 100644 checkpoint-6500/generation_config.json
 create mode 100644 checkpoint-6500/model.safetensors
 create mode 100644 checkpoint-6500/rng_state.pth
 create mode 100644 checkpoint-6500/special_tokens_map.json
 create mode 100644 checkpoint-6500/spiece.model
 create mode 100644 checkpoint-6500/tokenizer_config.json
 create mode 100644 checkpoint-6500/trainer_state.json
 create mode 100644 checkpoint-6500/training_args.bin
 create mode 100644 checkpoint-7000/added_tokens.json
 create mode 100644 checkpoint-7000/config.json
 create mode 100644 checkpoint-7000/generation_config.json
 create mode 100644 checkpoint-7000/model.safetensors
 create mode 100644 checkpoint-7000/rng_state.pth
 create mode 100644 checkpoint-7000/special_tokens_map.json
 create mode 100644 checkpoint-7000/spiece.model
 create mode 100644 checkpoint-7000/tokenizer_config.json
 create mode 100644 checkpoint-7000/trainer_state.json
 create mode 100644 checkpoint-7000/training_args.bin
 create mode 100644 checkpoint-7500/added_tokens.json
 create mode 100644 checkpoint-7500/config.json
 create mode 100644 checkpoint-7500/generation_config.json
 create mode 100644 checkpoint-7500/model.safetensors
 create mode 100644 checkpoint-7500/rng_state.pth
 create mode 100644 checkpoint-7500/special_tokens_map.json
 create mode 100644 checkpoint-7500/spiece.model
 create mode 100644 checkpoint-7500/tokenizer_config.json
 create mode 100644 checkpoint-7500/trainer_state.json
 create mode 100644 checkpoint-7500/training_args.bin
 create mode 100644 checkpoint-8000/added_tokens.json
 create mode 100644 checkpoint-8000/config.json
 create mode 100644 checkpoint-8000/generation_config.json
 create mode 100644 checkpoint-8000/model.safetensors
 create mode 100644 checkpoint-8000/rng_state.pth
 create mode 100644 checkpoint-8000/special_tokens_map.json
 create mode 100644 checkpoint-8000/spiece.model
 create mode 100644 checkpoint-8000/tokenizer_config.json
 create mode 100644 checkpoint-8000/trainer_state.json
 create mode 100644 checkpoint-8000/training_args.bin
 create mode 100644 checkpoint-8500/added_tokens.json
 create mode 100644 checkpoint-8500/config.json
 create mode 100644 checkpoint-8500/generation_config.json
 create mode 100644 checkpoint-8500/model.safetensors
 create mode 100644 checkpoint-8500/rng_state.pth
 create mode 100644 checkpoint-8500/special_tokens_map.json
 create mode 100644 checkpoint-8500/spiece.model
 create mode 100644 checkpoint-8500/tokenizer_config.json
 create mode 100644 checkpoint-8500/trainer_state.json
 create mode 100644 checkpoint-8500/training_args.bin
 create mode 100644 checkpoint-9000/added_tokens.json
 create mode 100644 checkpoint-9000/config.json
 create mode 100644 checkpoint-9000/generation_config.json
 create mode 100644 checkpoint-9000/model.safetensors
 create mode 100644 checkpoint-9000/rng_state.pth
 create mode 100644 checkpoint-9000/special_tokens_map.json
 create mode 100644 checkpoint-9000/spiece.model
 create mode 100644 checkpoint-9000/tokenizer_config.json
 create mode 100644 checkpoint-9000/trainer_state.json
 create mode 100644 checkpoint-9000/training_args.bin
 create mode 100644 checkpoint-9500/added_tokens.json
 create mode 100644 checkpoint-9500/config.json
 create mode 100644 checkpoint-9500/generation_config.json
 create mode 100644 checkpoint-9500/model.safetensors
 create mode 100644 checkpoint-9500/rng_state.pth
 create mode 100644 checkpoint-9500/special_tokens_map.json
 create mode 100644 checkpoint-9500/spiece.model
 create mode 100644 checkpoint-9500/tokenizer_config.json
 create mode 100644 checkpoint-9500/trainer_state.json
 create mode 100644 checkpoint-9500/training_args.bin
 create mode 100644 config.json
 create mode 100644 generation_config.json
 create mode 100644 model.safetensors
 create mode 100644 special_tokens_map.json
 create mode 100644 spiece.model
 create mode 100644 tokenizer_config.json
 create mode 100644 training_args.bin

diff --git a/.gitattributes b/.gitattributes
new file mode 100644
index 0000000..a6344aa
--- /dev/null
+++ b/.gitattributes
@@ -0,0 +1,35 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
diff --git a/README.md b/README.md
new file mode 100644
index 0000000..ff727ad
--- /dev/null
+++ b/README.md
@@ -0,0 +1,58 @@
+---
+base_model: fpadovani/swe-latn-100mb-ppt-Dp-10mb_seed3407
+library_name: transformers
+model_name: swe-latn-100mb-after-ppt-Dp-10mb-ckpt500_seed3407
+tags:
+- generated_from_trainer
+- sft
+- trl
+licence: license
+---
+
+# Model Card for swe-latn-100mb-after-ppt-Dp-10mb-ckpt500_seed3407
+
+This model is a fine-tuned version of [fpadovani/swe-latn-100mb-ppt-Dp-10mb_seed3407](https://huggingface.co/fpadovani/swe-latn-100mb-ppt-Dp-10mb_seed3407).
+It has been trained using [TRL](https://github.com/huggingface/trl).
+
+## Quick start
+
+```python
+from transformers import pipeline
+
+question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
+generator = pipeline("text-generation", model="fpadovani/swe-latn-100mb-after-ppt-Dp-10mb-ckpt500_seed3407", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+print(output["generated_text"])
+```
+
+## Training procedure
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/f-padovani-university-of-groningen/new_tokenizers/runs/5ko327en) 
+
+
+This model was trained with SFT.
+
+### Framework versions
+
+- TRL: 0.23.0
+- Transformers: 4.56.2
+- Pytorch: 2.11.0
+- Datasets: 4.8.4
+- Tokenizers: 0.22.1
+
+## Citations
+
+
+
+Cite TRL as:
+    
+```bibtex
+@misc{vonwerra2022trl,
+	title        = {{TRL: Transformer Reinforcement Learning}},
+	author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
+	year         = 2020,
+	journal      = {GitHub repository},
+	publisher    = {GitHub},
+	howpublished = {\url{https://github.com/huggingface/trl}}
+}
+```
\ No newline at end of file
diff --git a/added_tokens.json b/added_tokens.json
new file mode 100644
index 0000000..b3dbcdb
--- /dev/null
+++ b/added_tokens.json
@@ -0,0 +1,1202 @@
+{
+  "<pad>": 50002,
+  "[CLS]": 50000,
+  "[MASK]": 50003,
+  "[SEP]": 50001,
+  "[XXXXX0]": 50771,
+  "[XXXXX1000]": 50549,
+  "[XXXXX1001]": 50657,
+  "[XXXXX1002]": 51158,
+  "[XXXXX1003]": 51044,
+  "[XXXXX1004]": 50688,
+  "[XXXXX1005]": 50689,
+  "[XXXXX1006]": 50410,
+  "[XXXXX1007]": 50724,
+  "[XXXXX1008]": 50171,
+  "[XXXXX1009]": 51077,
+  "[XXXXX100]": 50091,
+  "[XXXXX1010]": 50639,
+  "[XXXXX1011]": 51094,
+  "[XXXXX1012]": 50392,
+  "[XXXXX1013]": 50626,
+  "[XXXXX1014]": 50991,
+  "[XXXXX1015]": 50529,
+  "[XXXXX1016]": 51193,
+  "[XXXXX1017]": 51073,
+  "[XXXXX1018]": 51104,
+  "[XXXXX1019]": 50775,
+  "[XXXXX101]": 50139,
+  "[XXXXX1020]": 50157,
+  "[XXXXX1021]": 50934,
+  "[XXXXX1022]": 51159,
+  "[XXXXX1023]": 50048,
+  "[XXXXX1024]": 51123,
+  "[XXXXX1025]": 50084,
+  "[XXXXX1026]": 50813,
+  "[XXXXX1027]": 50725,
+  "[XXXXX1028]": 50931,
+  "[XXXXX1029]": 50233,
+  "[XXXXX102]": 50213,
+  "[XXXXX1030]": 51023,
+  "[XXXXX1031]": 50098,
+  "[XXXXX1032]": 50802,
+  "[XXXXX1033]": 50061,
+  "[XXXXX1034]": 51139,
+  "[XXXXX1035]": 51110,
+  "[XXXXX1036]": 50204,
+  "[XXXXX1037]": 50023,
+  "[XXXXX1038]": 50142,
+  "[XXXXX1039]": 50328,
+  "[XXXXX103]": 50087,
+  "[XXXXX1040]": 50435,
+  "[XXXXX1041]": 50489,
+  "[XXXXX1042]": 50216,
+  "[XXXXX1043]": 50144,
+  "[XXXXX1044]": 50832,
+  "[XXXXX1045]": 50566,
+  "[XXXXX1046]": 50922,
+  "[XXXXX1047]": 50796,
+  "[XXXXX1048]": 50533,
+  "[XXXXX1049]": 50433,
+  "[XXXXX104]": 50478,
+  "[XXXXX1050]": 50953,
+  "[XXXXX1051]": 50497,
+  "[XXXXX1052]": 50655,
+  "[XXXXX1053]": 50881,
+  "[XXXXX1054]": 50461,
+  "[XXXXX1055]": 50052,
+  "[XXXXX1056]": 50219,
+  "[XXXXX1057]": 50789,
+  "[XXXXX1058]": 50121,
+  "[XXXXX1059]": 51002,
+  "[XXXXX105]": 51192,
+  "[XXXXX1060]": 50158,
+  "[XXXXX1061]": 50352,
+  "[XXXXX1062]": 50637,
+  "[XXXXX1063]": 50440,
+  "[XXXXX1064]": 50590,
+  "[XXXXX1065]": 51107,
+  "[XXXXX1066]": 50758,
+  "[XXXXX1067]": 51011,
+  "[XXXXX1068]": 50985,
+  "[XXXXX1069]": 51175,
+  "[XXXXX106]": 50532,
+  "[XXXXX1070]": 50790,
+  "[XXXXX1071]": 50394,
+  "[XXXXX1072]": 50852,
+  "[XXXXX1073]": 50869,
+  "[XXXXX1074]": 50126,
+  "[XXXXX1075]": 50783,
+  "[XXXXX1076]": 50806,
+  "[XXXXX1077]": 50882,
+  "[XXXXX1078]": 50726,
+  "[XXXXX1079]": 51010,
+  "[XXXXX107]": 50714,
+  "[XXXXX1080]": 50168,
+  "[XXXXX1081]": 50425,
+  "[XXXXX1082]": 50848,
+  "[XXXXX1083]": 50014,
+  "[XXXXX1084]": 50341,
+  "[XXXXX1085]": 50734,
+  "[XXXXX1086]": 50664,
+  "[XXXXX1087]": 51007,
+  "[XXXXX1088]": 51151,
+  "[XXXXX1089]": 50269,
+  "[XXXXX108]": 50996,
+  "[XXXXX1090]": 50826,
+  "[XXXXX1091]": 51105,
+  "[XXXXX1092]": 50731,
+  "[XXXXX1093]": 50856,
+  "[XXXXX1094]": 50369,
+  "[XXXXX1095]": 50065,
+  "[XXXXX1096]": 50309,
+  "[XXXXX1097]": 50838,
+  "[XXXXX1098]": 50451,
+  "[XXXXX1099]": 50384,
+  "[XXXXX109]": 50543,
+  "[XXXXX10]": 50325,
+  "[XXXXX1100]": 50318,
+  "[XXXXX1101]": 50764,
+  "[XXXXX1102]": 51025,
+  "[XXXXX1103]": 50642,
+  "[XXXXX1104]": 50665,
+  "[XXXXX1105]": 50855,
+  "[XXXXX1106]": 51063,
+  "[XXXXX1107]": 50025,
+  "[XXXXX1108]": 50122,
+  "[XXXXX1109]": 50470,
+  "[XXXXX110]": 50062,
+  "[XXXXX1110]": 51019,
+  "[XXXXX1111]": 51124,
+  "[XXXXX1112]": 50146,
+  "[XXXXX1113]": 51125,
+  "[XXXXX1114]": 50434,
+  "[XXXXX1115]": 50818,
+  "[XXXXX1116]": 50960,
+  "[XXXXX1117]": 50258,
+  "[XXXXX1118]": 50596,
+  "[XXXXX1119]": 50083,
+  "[XXXXX111]": 51064,
+  "[XXXXX1120]": 50915,
+  "[XXXXX1121]": 50835,
+  "[XXXXX1122]": 51056,
+  "[XXXXX1123]": 50172,
+  "[XXXXX1124]": 50972,
+  "[XXXXX1125]": 50275,
+  "[XXXXX1126]": 50430,
+  "[XXXXX1127]": 50743,
+  "[XXXXX1128]": 50551,
+  "[XXXXX1129]": 50439,
+  "[XXXXX112]": 50819,
+  "[XXXXX1130]": 50536,
+  "[XXXXX1131]": 50622,
+  "[XXXXX1132]": 50623,
+  "[XXXXX1133]": 50117,
+  "[XXXXX1134]": 50251,
+  "[XXXXX1135]": 50678,
+  "[XXXXX1136]": 50316,
+  "[XXXXX1137]": 50905,
+  "[XXXXX1138]": 50992,
+  "[XXXXX1139]": 50851,
+  "[XXXXX113]": 50443,
+  "[XXXXX1140]": 50499,
+  "[XXXXX1141]": 50629,
+  "[XXXXX1142]": 50944,
+  "[XXXXX1143]": 50373,
+  "[XXXXX1144]": 50123,
+  "[XXXXX1145]": 50173,
+  "[XXXXX1146]": 50891,
+  "[XXXXX1147]": 50471,
+  "[XXXXX1148]": 50560,
+  "[XXXXX1149]": 50541,
+  "[XXXXX114]": 50631,
+  "[XXXXX1150]": 50033,
+  "[XXXXX1151]": 50063,
+  "[XXXXX1152]": 50767,
+  "[XXXXX1153]": 50897,
+  "[XXXXX1154]": 50568,
+  "[XXXXX1155]": 51131,
+  "[XXXXX1156]": 50009,
+  "[XXXXX1157]": 50417,
+  "[XXXXX1158]": 50477,
+  "[XXXXX1159]": 50941,
+  "[XXXXX115]": 50294,
+  "[XXXXX1160]": 50679,
+  "[XXXXX1161]": 51108,
+  "[XXXXX1162]": 50332,
+  "[XXXXX1163]": 50424,
+  "[XXXXX1164]": 50473,
+  "[XXXXX1165]": 50793,
+  "[XXXXX1166]": 50453,
+  "[XXXXX1167]": 50807,
+  "[XXXXX1168]": 50128,
+  "[XXXXX1169]": 50039,
+  "[XXXXX116]": 50759,
+  "[XXXXX1170]": 50735,
+  "[XXXXX1171]": 50366,
+  "[XXXXX1172]": 50808,
+  "[XXXXX1173]": 50426,
+  "[XXXXX1174]": 50076,
+  "[XXXXX1175]": 50943,
+  "[XXXXX1176]": 50252,
+  "[XXXXX1177]": 50999,
+  "[XXXXX1178]": 50264,
+  "[XXXXX1179]": 50607,
+  "[XXXXX117]": 51036,
+  "[XXXXX1180]": 50986,
+  "[XXXXX1181]": 50744,
+  "[XXXXX1182]": 50186,
+  "[XXXXX1183]": 50555,
+  "[XXXXX1184]": 51076,
+  "[XXXXX1185]": 50849,
+  "[XXXXX1186]": 51128,
+  "[XXXXX1187]": 50858,
+  "[XXXXX1188]": 50656,
+  "[XXXXX1189]": 50064,
+  "[XXXXX118]": 50081,
+  "[XXXXX1190]": 51197,
+  "[XXXXX1191]": 50104,
+  "[XXXXX1192]": 50045,
+  "[XXXXX1193]": 50404,
+  "[XXXXX1194]": 50690,
+  "[XXXXX1195]": 50495,
+  "[XXXXX119]": 50108,
+  "[XXXXX11]": 50976,
+  "[XXXXX120]": 51081,
+  "[XXXXX121]": 50464,
+  "[XXXXX122]": 50829,
+  "[XXXXX123]": 50766,
+  "[XXXXX124]": 50732,
+  "[XXXXX125]": 50221,
+  "[XXXXX126]": 50810,
+  "[XXXXX127]": 50130,
+  "[XXXXX128]": 50751,
+  "[XXXXX129]": 50662,
+  "[XXXXX12]": 50602,
+  "[XXXXX130]": 50035,
+  "[XXXXX131]": 50715,
+  "[XXXXX132]": 50340,
+  "[XXXXX133]": 50563,
+  "[XXXXX134]": 50993,
+  "[XXXXX135]": 50304,
+  "[XXXXX136]": 50131,
+  "[XXXXX137]": 50578,
+  "[XXXXX138]": 50757,
+  "[XXXXX139]": 50582,
+  "[XXXXX13]": 50105,
+  "[XXXXX140]": 50085,
+  "[XXXXX141]": 50553,
+  "[XXXXX142]": 50749,
+  "[XXXXX143]": 50351,
+  "[XXXXX144]": 51024,
+  "[XXXXX145]": 51144,
+  "[XXXXX146]": 50042,
+  "[XXXXX147]": 50145,
+  "[XXXXX148]": 50066,
+  "[XXXXX149]": 50876,
+  "[XXXXX14]": 51006,
+  "[XXXXX150]": 50280,
+  "[XXXXX151]": 50093,
+  "[XXXXX152]": 50638,
+  "[XXXXX153]": 50684,
+  "[XXXXX154]": 50820,
+  "[XXXXX155]": 51196,
+  "[XXXXX156]": 50317,
+  "[XXXXX157]": 50284,
+  "[XXXXX158]": 50288,
+  "[XXXXX159]": 50814,
+  "[XXXXX15]": 50608,
+  "[XXXXX160]": 50004,
+  "[XXXXX161]": 50008,
+  "[XXXXX162]": 50377,
+  "[XXXXX163]": 50214,
+  "[XXXXX164]": 50708,
+  "[XXXXX165]": 50390,
+  "[XXXXX166]": 50741,
+  "[XXXXX167]": 50445,
+  "[XXXXX168]": 50936,
+  "[XXXXX169]": 50896,
+  "[XXXXX16]": 50442,
+  "[XXXXX170]": 50109,
+  "[XXXXX171]": 50140,
+  "[XXXXX172]": 50427,
+  "[XXXXX173]": 51074,
+  "[XXXXX174]": 50162,
+  "[XXXXX175]": 51015,
+  "[XXXXX176]": 50524,
+  "[XXXXX177]": 50673,
+  "[XXXXX178]": 50054,
+  "[XXXXX179]": 50805,
+  "[XXXXX17]": 50482,
+  "[XXXXX180]": 50253,
+  "[XXXXX181]": 50493,
+  "[XXXXX182]": 50421,
+  "[XXXXX183]": 51050,
+  "[XXXXX184]": 50521,
+  "[XXXXX185]": 50188,
+  "[XXXXX186]": 50147,
+  "[XXXXX187]": 50201,
+  "[XXXXX188]": 50973,
+  "[XXXXX189]": 50409,
+  "[XXXXX18]": 50115,
+  "[XXXXX190]": 50051,
+  "[XXXXX191]": 51020,
+  "[XXXXX192]": 51047,
+  "[XXXXX193]": 50669,
+  "[XXXXX194]": 50643,
+  "[XXXXX195]": 50159,
+  "[XXXXX196]": 50649,
+  "[XXXXX197]": 51178,
+  "[XXXXX198]": 50043,
+  "[XXXXX199]": 51147,
+  "[XXXXX19]": 51127,
+  "[XXXXX1]": 51114,
+  "[XXXXX200]": 50840,
+  "[XXXXX201]": 50365,
+  "[XXXXX202]": 50232,
+  "[XXXXX203]": 50241,
+  "[XXXXX204]": 50548,
+  "[XXXXX205]": 50781,
+  "[XXXXX206]": 50923,
+  "[XXXXX207]": 51115,
+  "[XXXXX208]": 50344,
+  "[XXXXX209]": 50299,
+  "[XXXXX20]": 51031,
+  "[XXXXX210]": 51179,
+  "[XXXXX211]": 51163,
+  "[XXXXX212]": 50562,
+  "[XXXXX213]": 50094,
+  "[XXXXX214]": 50257,
+  "[XXXXX215]": 50967,
+  "[XXXXX216]": 50523,
+  "[XXXXX217]": 51132,
+  "[XXXXX218]": 51146,
+  "[XXXXX219]": 50411,
+  "[XXXXX21]": 50354,
+  "[XXXXX220]": 50853,
+  "[XXXXX221]": 50886,
+  "[XXXXX222]": 50600,
+  "[XXXXX223]": 50873,
+  "[XXXXX224]": 50416,
+  "[XXXXX225]": 50675,
+  "[XXXXX226]": 50583,
+  "[XXXXX227]": 50151,
+  "[XXXXX228]": 50927,
+  "[XXXXX229]": 50609,
+  "[XXXXX22]": 50589,
+  "[XXXXX230]": 50238,
+  "[XXXXX231]": 50242,
+  "[XXXXX232]": 51016,
+  "[XXXXX233]": 50406,
+  "[XXXXX234]": 50908,
+  "[XXXXX235]": 50024,
+  "[XXXXX236]": 50270,
+  "[XXXXX237]": 50132,
+  "[XXXXX238]": 50800,
+  "[XXXXX239]": 50236,
+  "[XXXXX23]": 50007,
+  "[XXXXX240]": 50005,
+  "[XXXXX241]": 50894,
+  "[XXXXX242]": 50694,
+  "[XXXXX243]": 51071,
+  "[XXXXX244]": 51017,
+  "[XXXXX245]": 50068,
+  "[XXXXX246]": 50682,
+  "[XXXXX247]": 50913,
+  "[XXXXX248]": 51028,
+  "[XXXXX249]": 50037,
+  "[XXXXX24]": 51169,
+  "[XXXXX250]": 50747,
+  "[XXXXX251]": 50947,
+  "[XXXXX252]": 50329,
+  "[XXXXX253]": 50612,
+  "[XXXXX254]": 50110,
+  "[XXXXX255]": 50824,
+  "[XXXXX256]": 50558,
+  "[XXXXX257]": 50969,
+  "[XXXXX258]": 50729,
+  "[XXXXX259]": 50125,
+  "[XXXXX25]": 51160,
+  "[XXXXX260]": 50040,
+  "[XXXXX261]": 51038,
+  "[XXXXX262]": 50347,
+  "[XXXXX263]": 50740,
+  "[XXXXX264]": 51195,
+  "[XXXXX265]": 50879,
+  "[XXXXX266]": 50770,
+  "[XXXXX267]": 50178,
+  "[XXXXX268]": 50804,
+  "[XXXXX269]": 50906,
+  "[XXXXX26]": 50150,
+  "[XXXXX270]": 51191,
+  "[XXXXX271]": 50047,
+  "[XXXXX272]": 50195,
+  "[XXXXX273]": 50554,
+  "[XXXXX274]": 50833,
+  "[XXXXX275]": 50346,
+  "[XXXXX276]": 50950,
+  "[XXXXX277]": 50864,
+  "[XXXXX278]": 50259,
+  "[XXXXX279]": 50671,
+  "[XXXXX27]": 50468,
+  "[XXXXX280]": 50082,
+  "[XXXXX281]": 50565,
+  "[XXXXX282]": 50984,
+  "[XXXXX283]": 50650,
+  "[XXXXX284]": 50975,
+  "[XXXXX285]": 50603,
+  "[XXXXX286]": 50027,
+  "[XXXXX287]": 50181,
+  "[XXXXX288]": 50981,
+  "[XXXXX289]": 50885,
+  "[XXXXX28]": 50249,
+  "[XXXXX290]": 50522,
+  "[XXXXX291]": 50050,
+  "[XXXXX292]": 50313,
+  "[XXXXX293]": 50503,
+  "[XXXXX294]": 51176,
+  "[XXXXX295]": 51177,
+  "[XXXXX296]": 50379,
+  "[XXXXX297]": 50635,
+  "[XXXXX298]": 50723,
+  "[XXXXX299]": 50200,
+  "[XXXXX29]": 50892,
+  "[XXXXX2]": 51119,
+  "[XXXXX300]": 51026,
+  "[XXXXX301]": 50528,
+  "[XXXXX302]": 51149,
+  "[XXXXX303]": 50044,
+  "[XXXXX304]": 50209,
+  "[XXXXX305]": 50988,
+  "[XXXXX306]": 50518,
+  "[XXXXX307]": 50088,
+  "[XXXXX308]": 50733,
+  "[XXXXX309]": 51066,
+  "[XXXXX30]": 50506,
+  "[XXXXX310]": 50285,
+  "[XXXXX311]": 50859,
+  "[XXXXX312]": 50263,
+  "[XXXXX313]": 50594,
+  "[XXXXX314]": 51103,
+  "[XXXXX315]": 50871,
+  "[XXXXX316]": 50300,
+  "[XXXXX317]": 50760,
+  "[XXXXX318]": 50055,
+  "[XXXXX319]": 50389,
+  "[XXXXX31]": 50212,
+  "[XXXXX320]": 50444,
+  "[XXXXX321]": 50994,
+  "[XXXXX322]": 50281,
+  "[XXXXX323]": 50179,
+  "[XXXXX324]": 50455,
+  "[XXXXX325]": 50970,
+  "[XXXXX326]": 50666,
+  "[XXXXX327]": 50604,
+  "[XXXXX328]": 50627,
+  "[XXXXX329]": 50475,
+  "[XXXXX32]": 50277,
+  "[XXXXX330]": 50667,
+  "[XXXXX331]": 50348,
+  "[XXXXX332]": 50772,
+  "[XXXXX333]": 50163,
+  "[XXXXX334]": 50569,
+  "[XXXXX335]": 50018,
+  "[XXXXX336]": 50883,
+  "[XXXXX337]": 50067,
+  "[XXXXX338]": 51184,
+  "[XXXXX339]": 50997,
+  "[XXXXX33]": 50403,
+  "[XXXXX340]": 51013,
+  "[XXXXX341]": 50957,
+  "[XXXXX342]": 51106,
+  "[XXXXX343]": 51174,
+  "[XXXXX344]": 50391,
+  "[XXXXX345]": 50948,
+  "[XXXXX346]": 50180,
+  "[XXXXX347]": 50811,
+  "[XXXXX348]": 50401,
+  "[XXXXX349]": 50911,
+  "[XXXXX34]": 50223,
+  "[XXXXX350]": 51089,
+  "[XXXXX351]": 50777,
+  "[XXXXX352]": 50189,
+  "[XXXXX353]": 50492,
+  "[XXXXX354]": 50205,
+  "[XXXXX355]": 50374,
+  "[XXXXX356]": 51152,
+  "[XXXXX357]": 50695,
+  "[XXXXX358]": 51117,
+  "[XXXXX359]": 50573,
+  "[XXXXX35]": 50752,
+  "[XXXXX360]": 50955,
+  "[XXXXX361]": 50349,
+  "[XXXXX362]": 51137,
+  "[XXXXX363]": 50641,
+  "[XXXXX364]": 51148,
+  "[XXXXX365]": 50255,
+  "[XXXXX366]": 50310,
+  "[XXXXX367]": 50314,
+  "[XXXXX368]": 50971,
+  "[XXXXX369]": 50916,
+  "[XXXXX36]": 50437,
+  "[XXXXX370]": 51096,
+  "[XXXXX371]": 50557,
+  "[XXXXX372]": 51095,
+  "[XXXXX373]": 50382,
+  "[XXXXX374]": 50119,
+  "[XXXXX375]": 50958,
+  "[XXXXX376]": 50624,
+  "[XXXXX377]": 50483,
+  "[XXXXX378]": 50605,
+  "[XXXXX379]": 50017,
+  "[XXXXX37]": 50706,
+  "[XXXXX380]": 50246,
+  "[XXXXX381]": 50588,
+  "[XXXXX382]": 51008,
+  "[XXXXX383]": 50801,
+  "[XXXXX384]": 50290,
+  "[XXXXX385]": 50899,
+  "[XXXXX386]": 50206,
+  "[XXXXX387]": 50716,
+  "[XXXXX388]": 51082,
+  "[XXXXX389]": 50177,
+  "[XXXXX38]": 50736,
+  "[XXXXX390]": 50282,
+  "[XXXXX391]": 51183,
+  "[XXXXX392]": 50286,
+  "[XXXXX393]": 50659,
+  "[XXXXX394]": 50378,
+  "[XXXXX395]": 50709,
+  "[XXXXX396]": 50028,
+  "[XXXXX397]": 50235,
+  "[XXXXX398]": 51014,
+  "[XXXXX399]": 50880,
+  "[XXXXX39]": 50305,
+  "[XXXXX3]": 50077,
+  "[XXXXX400]": 50155,
+  "[XXXXX401]": 50710,
+  "[XXXXX402]": 50507,
+  "[XXXXX403]": 50860,
+  "[XXXXX404]": 50661,
+  "[XXXXX405]": 51083,
+  "[XXXXX406]": 50888,
+  "[XXXXX407]": 50069,
+  "[XXXXX408]": 50691,
+  "[XXXXX409]": 51055,
+  "[XXXXX40]": 50337,
+  "[XXXXX410]": 50137,
+  "[XXXXX411]": 50791,
+  "[XXXXX412]": 50136,
+  "[XXXXX413]": 50730,
+  "[XXXXX414]": 50267,
+  "[XXXXX415]": 50012,
+  "[XXXXX416]": 50681,
+  "[XXXXX417]": 50942,
+  "[XXXXX418]": 50720,
+  "[XXXXX419]": 50844,
+  "[XXXXX41]": 50387,
+  "[XXXXX420]": 50111,
+  "[XXXXX421]": 51003,
+  "[XXXXX422]": 50785,
+  "[XXXXX423]": 50149,
+  "[XXXXX424]": 50422,
+  "[XXXXX425]": 51086,
+  "[XXXXX426]": 50862,
+  "[XXXXX427]": 50576,
+  "[XXXXX428]": 51049,
+  "[XXXXX429]": 50630,
+  "[XXXXX42]": 50799,
+  "[XXXXX430]": 50289,
+  "[XXXXX431]": 50184,
+  "[XXXXX432]": 50319,
+  "[XXXXX433]": 51116,
+  "[XXXXX434]": 50519,
+  "[XXXXX435]": 50496,
+  "[XXXXX436]": 50517,
+  "[XXXXX437]": 50865,
+  "[XXXXX438]": 50737,
+  "[XXXXX439]": 50356,
+  "[XXXXX43]": 50359,
+  "[XXXXX440]": 50898,
+  "[XXXXX441]": 50113,
+  "[XXXXX442]": 50527,
+  "[XXXXX443]": 50762,
+  "[XXXXX444]": 50540,
+  "[XXXXX445]": 50925,
+  "[XXXXX446]": 50711,
+  "[XXXXX447]": 50143,
+  "[XXXXX448]": 51170,
+  "[XXXXX449]": 50413,
+  "[XXXXX44]": 50097,
+  "[XXXXX450]": 50375,
+  "[XXXXX451]": 50846,
+  "[XXXXX452]": 50217,
+  "[XXXXX453]": 50699,
+  "[XXXXX454]": 50412,
+  "[XXXXX455]": 50418,
+  "[XXXXX456]": 51143,
+  "[XXXXX457]": 51141,
+  "[XXXXX458]": 51157,
+  "[XXXXX459]": 50825,
+  "[XXXXX45]": 50203,
+  "[XXXXX460]": 50194,
+  "[XXXXX461]": 50148,
+  "[XXXXX462]": 50276,
+  "[XXXXX463]": 50271,
+  "[XXXXX464]": 50836,
+  "[XXXXX465]": 50854,
+  "[XXXXX466]": 50164,
+  "[XXXXX467]": 50484,
+  "[XXXXX468]": 51097,
+  "[XXXXX469]": 50182,
+  "[XXXXX46]": 50505,
+  "[XXXXX470]": 50670,
+  "[XXXXX471]": 50595,
+  "[XXXXX472]": 50237,
+  "[XXXXX473]": 50057,
+  "[XXXXX474]": 50431,
+  "[XXXXX475]": 50738,
+  "[XXXXX476]": 51145,
+  "[XXXXX477]": 50247,
+  "[XXXXX478]": 50029,
+  "[XXXXX479]": 50917,
+  "[XXXXX47]": 50579,
+  "[XXXXX480]": 50702,
+  "[XXXXX481]": 50831,
+  "[XXXXX482]": 50753,
+  "[XXXXX483]": 50598,
+  "[XXXXX484]": 51136,
+  "[XXXXX485]": 50092,
+  "[XXXXX486]": 50202,
+  "[XXXXX487]": 50106,
+  "[XXXXX488]": 50924,
+  "[XXXXX489]": 51113,
+  "[XXXXX48]": 50842,
+  "[XXXXX490]": 50761,
+  "[XXXXX491]": 50577,
+  "[XXXXX492]": 50692,
+  "[XXXXX493]": 51130,
+  "[XXXXX494]": 50932,
+  "[XXXXX495]": 50837,
+  "[XXXXX496]": 50893,
+  "[XXXXX497]": 50773,
+  "[XXXXX498]": 50360,
+  "[XXXXX499]": 50900,
+  "[XXXXX49]": 51062,
+  "[XXXXX4]": 50396,
+  "[XXXXX500]": 51034,
+  "[XXXXX501]": 50472,
+  "[XXXXX502]": 50660,
+  "[XXXXX503]": 50815,
+  "[XXXXX504]": 50939,
+  "[XXXXX505]": 50419,
+  "[XXXXX506]": 50324,
+  "[XXXXX507]": 50428,
+  "[XXXXX508]": 50274,
+  "[XXXXX509]": 50311,
+  "[XXXXX50]": 50459,
+  "[XXXXX510]": 50674,
+  "[XXXXX511]": 50580,
+  "[XXXXX512]": 50956,
+  "[XXXXX513]": 50165,
+  "[XXXXX514]": 50320,
+  "[XXXXX515]": 50648,
+  "[XXXXX516]": 50386,
+  "[XXXXX517]": 50058,
+  "[XXXXX518]": 51045,
+  "[XXXXX519]": 50103,
+  "[XXXXX51]": 50979,
+  "[XXXXX520]": 50530,
+  "[XXXXX521]": 50907,
+  "[XXXXX522]": 50260,
+  "[XXXXX523]": 50632,
+  "[XXXXX524]": 50926,
+  "[XXXXX525]": 50687,
+  "[XXXXX526]": 50160,
+  "[XXXXX527]": 51053,
+  "[XXXXX528]": 50652,
+  "[XXXXX529]": 51041,
+  "[XXXXX52]": 50272,
+  "[XXXXX530]": 51111,
+  "[XXXXX531]": 51009,
+  "[XXXXX532]": 51079,
+  "[XXXXX533]": 50487,
+  "[XXXXX534]": 51059,
+  "[XXXXX535]": 50335,
+  "[XXXXX536]": 50380,
+  "[XXXXX537]": 50301,
+  "[XXXXX538]": 51067,
+  "[XXXXX539]": 51052,
+  "[XXXXX53]": 51048,
+  "[XXXXX540]": 50822,
+  "[XXXXX541]": 51040,
+  "[XXXXX542]": 50490,
+  "[XXXXX543]": 50448,
+  "[XXXXX544]": 50812,
+  "[XXXXX545]": 50099,
+  "[XXXXX546]": 51199,
+  "[XXXXX547]": 50226,
+  "[XXXXX548]": 50538,
+  "[XXXXX549]": 50342,
+  "[XXXXX54]": 50701,
+  "[XXXXX550]": 50544,
+  "[XXXXX551]": 50398,
+  "[XXXXX552]": 51102,
+  "[XXXXX553]": 50919,
+  "[XXXXX554]": 50615,
+  "[XXXXX555]": 50769,
+  "[XXXXX556]": 50940,
+  "[XXXXX557]": 50070,
+  "[XXXXX558]": 50680,
+  "[XXXXX559]": 50611,
+  "[XXXXX55]": 50574,
+  "[XXXXX560]": 50381,
+  "[XXXXX561]": 50350,
+  "[XXXXX562]": 50175,
+  "[XXXXX563]": 50584,
+  "[XXXXX564]": 50703,
+  "[XXXXX565]": 50989,
+  "[XXXXX566]": 50877,
+  "[XXXXX567]": 51039,
+  "[XXXXX568]": 51018,
+  "[XXXXX569]": 50452,
+  "[XXXXX56]": 51099,
+  "[XXXXX570]": 50161,
+  "[XXXXX571]": 50921,
+  "[XXXXX572]": 50676,
+  "[XXXXX573]": 50326,
+  "[XXXXX574]": 50987,
+  "[XXXXX575]": 50361,
+  "[XXXXX576]": 50071,
+  "[XXXXX577]": 50803,
+  "[XXXXX578]": 50400,
+  "[XXXXX579]": 51091,
+  "[XXXXX57]": 50501,
+  "[XXXXX580]": 50887,
+  "[XXXXX581]": 50839,
+  "[XXXXX582]": 51138,
+  "[XXXXX583]": 50816,
+  "[XXXXX584]": 50339,
+  "[XXXXX585]": 50463,
+  "[XXXXX586]": 50399,
+  "[XXXXX587]": 51070,
+  "[XXXXX588]": 50457,
+  "[XXXXX589]": 50828,
+  "[XXXXX58]": 50183,
+  "[XXXXX590]": 50080,
+  "[XXXXX591]": 50550,
+  "[XXXXX592]": 50129,
+  "[XXXXX593]": 50273,
+  "[XXXXX594]": 50388,
+  "[XXXXX595]": 50491,
+  "[XXXXX596]": 50278,
+  "[XXXXX597]": 50011,
+  "[XXXXX598]": 50254,
+  "[XXXXX599]": 50302,
+  "[XXXXX59]": 50353,
+  "[XXXXX5]": 50010,
+  "[XXXXX600]": 50704,
+  "[XXXXX601]": 51118,
+  "[XXXXX602]": 50049,
+  "[XXXXX603]": 51190,
+  "[XXXXX604]": 51142,
+  "[XXXXX605]": 50707,
+  "[XXXXX606]": 50937,
+  "[XXXXX607]": 50875,
+  "[XXXXX608]": 50564,
+  "[XXXXX609]": 50345,
+  "[XXXXX60]": 50713,
+  "[XXXXX610]": 50949,
+  "[XXXXX611]": 50978,
+  "[XXXXX612]": 50330,
+  "[XXXXX613]": 51035,
+  "[XXXXX614]": 50402,
+  "[XXXXX615]": 50176,
+  "[XXXXX616]": 51133,
+  "[XXXXX617]": 50222,
+  "[XXXXX618]": 50118,
+  "[XXXXX619]": 50196,
+  "[XXXXX61]": 50298,
+  "[XXXXX620]": 50668,
+  "[XXXXX621]": 50462,
+  "[XXXXX622]": 50218,
+  "[XXXXX623]": 51101,
+  "[XXXXX624]": 50362,
+  "[XXXXX625]": 50779,
+  "[XXXXX626]": 50513,
+  "[XXXXX627]": 50746,
+  "[XXXXX628]": 50141,
+  "[XXXXX629]": 50479,
+  "[XXXXX62]": 50056,
+  "[XXXXX630]": 51180,
+  "[XXXXX631]": 50872,
+  "[XXXXX632]": 50315,
+  "[XXXXX633]": 50397,
+  "[XXXXX634]": 51165,
+  "[XXXXX635]": 50046,
+  "[XXXXX636]": 50795,
+  "[XXXXX637]": 50959,
+  "[XXXXX638]": 50786,
+  "[XXXXX639]": 50240,
+  "[XXXXX63]": 51061,
+  "[XXXXX640]": 50601,
+  "[XXXXX641]": 50904,
+  "[XXXXX642]": 50376,
+  "[XXXXX643]": 50663,
+  "[XXXXX644]": 50613,
+  "[XXXXX645]": 50467,
+  "[XXXXX646]": 50546,
+  "[XXXXX647]": 50465,
+  "[XXXXX648]": 50395,
+  "[XXXXX649]": 50287,
+  "[XXXXX64]": 51162,
+  "[XXXXX650]": 50474,
+  "[XXXXX651]": 50727,
+  "[XXXXX652]": 50243,
+  "[XXXXX653]": 51100,
+  "[XXXXX654]": 50705,
+  "[XXXXX655]": 51012,
+  "[XXXXX656]": 50447,
+  "[XXXXX657]": 50719,
+  "[XXXXX658]": 50712,
+  "[XXXXX659]": 50476,
+  "[XXXXX65]": 50587,
+  "[XXXXX660]": 51054,
+  "[XXXXX661]": 51166,
+  "[XXXXX662]": 50494,
+  "[XXXXX663]": 50230,
+  "[XXXXX664]": 50621,
+  "[XXXXX665]": 50809,
+  "[XXXXX666]": 50265,
+  "[XXXXX667]": 50645,
+  "[XXXXX668]": 50817,
+  "[XXXXX669]": 50030,
+  "[XXXXX66]": 51029,
+  "[XXXXX670]": 51004,
+  "[XXXXX671]": 50685,
+  "[XXXXX672]": 50625,
+  "[XXXXX673]": 50890,
+  "[XXXXX674]": 50383,
+  "[XXXXX675]": 50929,
+  "[XXXXX676]": 50116,
+  "[XXXXX677]": 51072,
+  "[XXXXX678]": 51126,
+  "[XXXXX679]": 50755,
+  "[XXXXX67]": 50717,
+  "[XXXXX680]": 50303,
+  "[XXXXX681]": 50504,
+  "[XXXXX682]": 51075,
+  "[XXXXX683]": 50261,
+  "[XXXXX684]": 50861,
+  "[XXXXX685]": 50306,
+  "[XXXXX686]": 50016,
+  "[XXXXX687]": 50101,
+  "[XXXXX688]": 51098,
+  "[XXXXX689]": 50827,
+  "[XXXXX68]": 50863,
+  "[XXXXX690]": 50640,
+  "[XXXXX691]": 50031,
+  "[XXXXX692]": 50768,
+  "[XXXXX693]": 50013,
+  "[XXXXX694]": 51032,
+  "[XXXXX695]": 50166,
+  "[XXXXX696]": 50127,
+  "[XXXXX697]": 50414,
+  "[XXXXX698]": 50742,
+  "[XXXXX699]": 51042,
+  "[XXXXX69]": 51112,
+  "[XXXXX6]": 50593,
+  "[XXXXX700]": 50292,
+  "[XXXXX701]": 50174,
+  "[XXXXX702]": 50547,
+  "[XXXXX703]": 50498,
+  "[XXXXX704]": 51078,
+  "[XXXXX705]": 50133,
+  "[XXXXX706]": 50041,
+  "[XXXXX707]": 51181,
+  "[XXXXX708]": 50585,
+  "[XXXXX709]": 50776,
+  "[XXXXX70]": 50053,
+  "[XXXXX710]": 50336,
+  "[XXXXX711]": 50765,
+  "[XXXXX712]": 50224,
+  "[XXXXX713]": 50599,
+  "[XXXXX714]": 50207,
+  "[XXXXX715]": 51043,
+  "[XXXXX716]": 51090,
+  "[XXXXX717]": 50006,
+  "[XXXXX718]": 50901,
+  "[XXXXX719]": 51001,
+  "[XXXXX71]": 50954,
+  "[XXXXX720]": 50646,
+  "[XXXXX721]": 50075,
+  "[XXXXX722]": 51120,
+  "[XXXXX723]": 50215,
+  "[XXXXX724]": 50415,
+  "[XXXXX725]": 50154,
+  "[XXXXX726]": 50935,
+  "[XXXXX727]": 50545,
+  "[XXXXX728]": 51085,
+  "[XXXXX729]": 50256,
+  "[XXXXX72]": 50363,
+  "[XXXXX730]": 50700,
+  "[XXXXX731]": 50262,
+  "[XXXXX732]": 50930,
+  "[XXXXX733]": 50333,
+  "[XXXXX734]": 50884,
+  "[XXXXX735]": 51030,
+  "[XXXXX736]": 50231,
+  "[XXXXX737]": 50405,
+  "[XXXXX738]": 50962,
+  "[XXXXX739]": 50458,
+  "[XXXXX73]": 50019,
+  "[XXXXX740]": 50878,
+  "[XXXXX741]": 50910,
+  "[XXXXX742]": 50170,
+  "[XXXXX743]": 50718,
+  "[XXXXX744]": 50616,
+  "[XXXXX745]": 50358,
+  "[XXXXX746]": 50152,
+  "[XXXXX747]": 50525,
+  "[XXXXX748]": 51167,
+  "[XXXXX749]": 50653,
+  "[XXXXX74]": 50952,
+  "[XXXXX750]": 50500,
+  "[XXXXX751]": 50446,
+  "[XXXXX752]": 50995,
+  "[XXXXX753]": 50945,
+  "[XXXXX754]": 51173,
+  "[XXXXX755]": 50823,
+  "[XXXXX756]": 51060,
+  "[XXXXX757]": 50748,
+  "[XXXXX758]": 50020,
+  "[XXXXX759]": 50197,
+  "[XXXXX75]": 50502,
+  "[XXXXX760]": 50291,
+  "[XXXXX761]": 50821,
+  "[XXXXX762]": 50190,
+  "[XXXXX763]": 50745,
+  "[XXXXX764]": 50778,
+  "[XXXXX765]": 50556,
+  "[XXXXX766]": 51161,
+  "[XXXXX767]": 50466,
+  "[XXXXX768]": 50792,
+  "[XXXXX769]": 50208,
+  "[XXXXX76]": 50169,
+  "[XXXXX770]": 50647,
+  "[XXXXX771]": 50610,
+  "[XXXXX772]": 51140,
+  "[XXXXX773]": 50441,
+  "[XXXXX774]": 50870,
+  "[XXXXX775]": 50368,
+  "[XXXXX776]": 50026,
+  "[XXXXX777]": 50677,
+  "[XXXXX778]": 51168,
+  "[XXXXX779]": 50481,
+  "[XXXXX77]": 50515,
+  "[XXXXX780]": 50225,
+  "[XXXXX781]": 50408,
+  "[XXXXX782]": 50090,
+  "[XXXXX783]": 50951,
+  "[XXXXX784]": 50015,
+  "[XXXXX785]": 50658,
+  "[XXXXX786]": 50617,
+  "[XXXXX787]": 50721,
+  "[XXXXX788]": 51084,
+  "[XXXXX789]": 50830,
+  "[XXXXX78]": 50100,
+  "[XXXXX790]": 50606,
+  "[XXXXX791]": 50124,
+  "[XXXXX792]": 50078,
+  "[XXXXX793]": 51188,
+  "[XXXXX794]": 50750,
+  "[XXXXX795]": 50138,
+  "[XXXXX796]": 50239,
+  "[XXXXX797]": 50385,
+  "[XXXXX798]": 50780,
+  "[XXXXX799]": 50683,
+  "[XXXXX79]": 50436,
+  "[XXXXX7]": 50211,
+  "[XXXXX800]": 51185,
+  "[XXXXX801]": 50250,
+  "[XXXXX802]": 50456,
+  "[XXXXX803]": 50508,
+  "[XXXXX804]": 51194,
+  "[XXXXX805]": 50021,
+  "[XXXXX806]": 50307,
+  "[XXXXX807]": 50199,
+  "[XXXXX808]": 51129,
+  "[XXXXX809]": 50686,
+  "[XXXXX80]": 50370,
+  "[XXXXX810]": 50343,
+  "[XXXXX811]": 50614,
+  "[XXXXX812]": 50636,
+  "[XXXXX813]": 51198,
+  "[XXXXX814]": 50788,
+  "[XXXXX815]": 50120,
+  "[XXXXX816]": 50135,
+  "[XXXXX817]": 50293,
+  "[XXXXX818]": 50153,
+  "[XXXXX819]": 50516,
+  "[XXXXX81]": 50581,
+  "[XXXXX820]": 50586,
+  "[XXXXX821]": 50509,
+  "[XXXXX822]": 50220,
+  "[XXXXX823]": 51068,
+  "[XXXXX824]": 50946,
+  "[XXXXX825]": 50965,
+  "[XXXXX826]": 50032,
+  "[XXXXX827]": 50156,
+  "[XXXXX828]": 50449,
+  "[XXXXX829]": 50531,
+  "[XXXXX82]": 51164,
+  "[XXXXX830]": 50486,
+  "[XXXXX831]": 50357,
+  "[XXXXX832]": 51022,
+  "[XXXXX833]": 50633,
+  "[XXXXX834]": 50754,
+  "[XXXXX835]": 51134,
+  "[XXXXX836]": 50193,
+  "[XXXXX837]": 51088,
+  "[XXXXX838]": 50722,
+  "[XXXXX839]": 50756,
+  "[XXXXX83]": 50977,
+  "[XXXXX840]": 50022,
+  "[XXXXX841]": 51186,
+  "[XXXXX842]": 50575,
+  "[XXXXX843]": 50079,
+  "[XXXXX844]": 50644,
+  "[XXXXX845]": 51033,
+  "[XXXXX846]": 50454,
+  "[XXXXX847]": 50095,
+  "[XXXXX848]": 50902,
+  "[XXXXX849]": 50597,
+  "[XXXXX84]": 50167,
+  "[XXXXX850]": 51051,
+  "[XXXXX851]": 50696,
+  "[XXXXX852]": 50966,
+  "[XXXXX853]": 50034,
+  "[XXXXX854]": 50889,
+  "[XXXXX855]": 50843,
+  "[XXXXX856]": 50963,
+  "[XXXXX857]": 50227,
+  "[XXXXX858]": 51058,
+  "[XXXXX859]": 50850,
+  "[XXXXX85]": 50192,
+  "[XXXXX860]": 50228,
+  "[XXXXX861]": 50570,
+  "[XXXXX862]": 50488,
+  "[XXXXX863]": 50539,
+  "[XXXXX864]": 51182,
+  "[XXXXX865]": 50990,
+  "[XXXXX866]": 50542,
+  "[XXXXX867]": 51069,
+  "[XXXXX868]": 50480,
+  "[XXXXX869]": 50847,
+  "[XXXXX86]": 50874,
+  "[XXXXX870]": 50308,
+  "[XXXXX871]": 50510,
+  "[XXXXX872]": 50423,
+  "[XXXXX873]": 50086,
+  "[XXXXX874]": 50591,
+  "[XXXXX875]": 50728,
+  "[XXXXX876]": 50372,
+  "[XXXXX877]": 50903,
+  "[XXXXX878]": 50868,
+  "[XXXXX879]": 50763,
+  "[XXXXX87]": 50571,
+  "[XXXXX880]": 50096,
+  "[XXXXX881]": 51150,
+  "[XXXXX882]": 50460,
+  "[XXXXX883]": 51087,
+  "[XXXXX884]": 51093,
+  "[XXXXX885]": 50295,
+  "[XXXXX886]": 51037,
+  "[XXXXX887]": 51171,
+  "[XXXXX888]": 50794,
+  "[XXXXX889]": 50628,
+  "[XXXXX88]": 50520,
+  "[XXXXX890]": 51172,
+  "[XXXXX891]": 51046,
+  "[XXXXX892]": 50918,
+  "[XXXXX893]": 50998,
+  "[XXXXX894]": 50371,
+  "[XXXXX895]": 51155,
+  "[XXXXX896]": 50866,
+  "[XXXXX897]": 50229,
+  "[XXXXX898]": 51057,
+  "[XXXXX899]": 50867,
+  "[XXXXX89]": 50537,
+  "[XXXXX8]": 50784,
+  "[XXXXX900]": 50739,
+  "[XXXXX901]": 51080,
+  "[XXXXX902]": 50038,
+  "[XXXXX903]": 50321,
+  "[XXXXX904]": 50774,
+  "[XXXXX905]": 50974,
+  "[XXXXX906]": 50920,
+  "[XXXXX907]": 50469,
+  "[XXXXX908]": 51122,
+  "[XXXXX909]": 51092,
+  "[XXXXX90]": 50514,
+  "[XXXXX910]": 50798,
+  "[XXXXX911]": 50245,
+  "[XXXXX912]": 50367,
+  "[XXXXX913]": 50618,
+  "[XXXXX914]": 50072,
+  "[XXXXX915]": 50450,
+  "[XXXXX916]": 51189,
+  "[XXXXX917]": 50485,
+  "[XXXXX918]": 50283,
+  "[XXXXX919]": 50845,
+  "[XXXXX91]": 50968,
+  "[XXXXX920]": 50429,
+  "[XXXXX921]": 50364,
+  "[XXXXX922]": 50782,
+  "[XXXXX923]": 50534,
+  "[XXXXX924]": 50059,
+  "[XXXXX925]": 50102,
+  "[XXXXX926]": 50185,
+  "[XXXXX927]": 50634,
+  "[XXXXX928]": 50567,
+  "[XXXXX929]": 50895,
+  "[XXXXX92]": 50210,
+  "[XXXXX930]": 50561,
+  "[XXXXX931]": 51021,
+  "[XXXXX932]": 50107,
+  "[XXXXX933]": 50407,
+  "[XXXXX934]": 50654,
+  "[XXXXX935]": 50268,
+  "[XXXXX936]": 51153,
+  "[XXXXX937]": 50552,
+  "[XXXXX938]": 50526,
+  "[XXXXX939]": 50322,
+  "[XXXXX93]": 50912,
+  "[XXXXX940]": 50296,
+  "[XXXXX941]": 50572,
+  "[XXXXX942]": 50393,
+  "[XXXXX943]": 50312,
+  "[XXXXX944]": 50592,
+  "[XXXXX945]": 50982,
+  "[XXXXX946]": 50089,
+  "[XXXXX947]": 50331,
+  "[XXXXX948]": 50279,
+  "[XXXXX949]": 51005,
+  "[XXXXX94]": 50198,
+  "[XXXXX950]": 50114,
+  "[XXXXX951]": 50074,
+  "[XXXXX952]": 50248,
+  "[XXXXX953]": 50857,
+  "[XXXXX954]": 50841,
+  "[XXXXX955]": 51065,
+  "[XXXXX956]": 50234,
+  "[XXXXX957]": 50834,
+  "[XXXXX958]": 50535,
+  "[XXXXX959]": 51109,
+  "[XXXXX95]": 50651,
+  "[XXXXX960]": 50797,
+  "[XXXXX961]": 50914,
+  "[XXXXX962]": 50112,
+  "[XXXXX963]": 50073,
+  "[XXXXX964]": 50559,
+  "[XXXXX965]": 50933,
+  "[XXXXX966]": 50619,
+  "[XXXXX967]": 51187,
+  "[XXXXX968]": 50327,
+  "[XXXXX969]": 50698,
+  "[XXXXX96]": 50420,
+  "[XXXXX970]": 50060,
+  "[XXXXX971]": 50432,
+  "[XXXXX972]": 50620,
+  "[XXXXX973]": 50693,
+  "[XXXXX974]": 50938,
+  "[XXXXX975]": 50983,
+  "[XXXXX976]": 50334,
+  "[XXXXX977]": 50438,
+  "[XXXXX978]": 51154,
+  "[XXXXX979]": 50964,
+  "[XXXXX97]": 50672,
+  "[XXXXX980]": 50511,
+  "[XXXXX981]": 50244,
+  "[XXXXX982]": 50266,
+  "[XXXXX983]": 50134,
+  "[XXXXX984]": 50338,
+  "[XXXXX985]": 51121,
+  "[XXXXX986]": 50323,
+  "[XXXXX987]": 50909,
+  "[XXXXX988]": 51000,
+  "[XXXXX989]": 50036,
+  "[XXXXX98]": 50787,
+  "[XXXXX990]": 50512,
+  "[XXXXX991]": 50191,
+  "[XXXXX992]": 50187,
+  "[XXXXX993]": 51156,
+  "[XXXXX994]": 51135,
+  "[XXXXX995]": 50355,
+  "[XXXXX996]": 51027,
+  "[XXXXX997]": 50297,
+  "[XXXXX998]": 50928,
+  "[XXXXX999]": 50697,
+  "[XXXXX99]": 50980,
+  "[XXXXX9]": 50961
+}
diff --git a/checkpoint-1000/added_tokens.json b/checkpoint-1000/added_tokens.json
new file mode 100644
index 0000000..b3dbcdb
--- /dev/null
+++ b/checkpoint-1000/added_tokens.json
@@ -0,0 +1,1202 @@
+{
+  "<pad>": 50002,
+  "[CLS]": 50000,
+  "[MASK]": 50003,
+  "[SEP]": 50001,
+  "[XXXXX0]": 50771,
+  "[XXXXX1000]": 50549,
+  "[XXXXX1001]": 50657,
+  "[XXXXX1002]": 51158,
+  "[XXXXX1003]": 51044,
+  "[XXXXX1004]": 50688,
+  "[XXXXX1005]": 50689,
+  "[XXXXX1006]": 50410,
+  "[XXXXX1007]": 50724,
+  "[XXXXX1008]": 50171,
+  "[XXXXX1009]": 51077,
+  "[XXXXX100]": 50091,
+  "[XXXXX1010]": 50639,
+  "[XXXXX1011]": 51094,
+  "[XXXXX1012]": 50392,
+  "[XXXXX1013]": 50626,
+  "[XXXXX1014]": 50991,
+  "[XXXXX1015]": 50529,
+  "[XXXXX1016]": 51193,
+  "[XXXXX1017]": 51073,
+  "[XXXXX1018]": 51104,
+  "[XXXXX1019]": 50775,
+  "[XXXXX101]": 50139,
+  "[XXXXX1020]": 50157,
+  "[XXXXX1021]": 50934,
+  "[XXXXX1022]": 51159,
+  "[XXXXX1023]": 50048,
+  "[XXXXX1024]": 51123,
+  "[XXXXX1025]": 50084,
+  "[XXXXX1026]": 50813,
+  "[XXXXX1027]": 50725,
+  "[XXXXX1028]": 50931,
+  "[XXXXX1029]": 50233,
+  "[XXXXX102]": 50213,
+  "[XXXXX1030]": 51023,
+  "[XXXXX1031]": 50098,
+  "[XXXXX1032]": 50802,
+  "[XXXXX1033]": 50061,
+  "[XXXXX1034]": 51139,
+  "[XXXXX1035]": 51110,
+  "[XXXXX1036]": 50204,
+  "[XXXXX1037]": 50023,
+  "[XXXXX1038]": 50142,
+  "[XXXXX1039]": 50328,
+  "[XXXXX103]": 50087,
+  "[XXXXX1040]": 50435,
+  "[XXXXX1041]": 50489,
+  "[XXXXX1042]": 50216,
+  "[XXXXX1043]": 50144,
+  "[XXXXX1044]": 50832,
+  "[XXXXX1045]": 50566,
+  "[XXXXX1046]": 50922,
+  "[XXXXX1047]": 50796,
+  "[XXXXX1048]": 50533,
+  "[XXXXX1049]": 50433,
+  "[XXXXX104]": 50478,
+  "[XXXXX1050]": 50953,
+  "[XXXXX1051]": 50497,
+  "[XXXXX1052]": 50655,
+  "[XXXXX1053]": 50881,
+  "[XXXXX1054]": 50461,
+  "[XXXXX1055]": 50052,
+  "[XXXXX1056]": 50219,
+  "[XXXXX1057]": 50789,
+  "[XXXXX1058]": 50121,
+  "[XXXXX1059]": 51002,
+  "[XXXXX105]": 51192,
+  "[XXXXX1060]": 50158,
+  "[XXXXX1061]": 50352,
+  "[XXXXX1062]": 50637,
+  "[XXXXX1063]": 50440,
+  "[XXXXX1064]": 50590,
+  "[XXXXX1065]": 51107,
+  "[XXXXX1066]": 50758,
+  "[XXXXX1067]": 51011,
+  "[XXXXX1068]": 50985,
+  "[XXXXX1069]": 51175,
+  "[XXXXX106]": 50532,
+  "[XXXXX1070]": 50790,
+  "[XXXXX1071]": 50394,
+  "[XXXXX1072]": 50852,
+  "[XXXXX1073]": 50869,
+  "[XXXXX1074]": 50126,
+  "[XXXXX1075]": 50783,
+  "[XXXXX1076]": 50806,
+  "[XXXXX1077]": 50882,
+  "[XXXXX1078]": 50726,
+  "[XXXXX1079]": 51010,
+  "[XXXXX107]": 50714,
+  "[XXXXX1080]": 50168,
+  "[XXXXX1081]": 50425,
+  "[XXXXX1082]": 50848,
+  "[XXXXX1083]": 50014,
+  "[XXXXX1084]": 50341,
+  "[XXXXX1085]": 50734,
+  "[XXXXX1086]": 50664,
+  "[XXXXX1087]": 51007,
+  "[XXXXX1088]": 51151,
+  "[XXXXX1089]": 50269,
+  "[XXXXX108]": 50996,
+  "[XXXXX1090]": 50826,
+  "[XXXXX1091]": 51105,
+  "[XXXXX1092]": 50731,
+  "[XXXXX1093]": 50856,
+  "[XXXXX1094]": 50369,
+  "[XXXXX1095]": 50065,
+  "[XXXXX1096]": 50309,
+  "[XXXXX1097]": 50838,
+  "[XXXXX1098]": 50451,
+  "[XXXXX1099]": 50384,
+  "[XXXXX109]": 50543,
+  "[XXXXX10]": 50325,
+  "[XXXXX1100]": 50318,
+  "[XXXXX1101]": 50764,
+  "[XXXXX1102]": 51025,
+  "[XXXXX1103]": 50642,
+  "[XXXXX1104]": 50665,
+  "[XXXXX1105]": 50855,
+  "[XXXXX1106]": 51063,
+  "[XXXXX1107]": 50025,
+  "[XXXXX1108]": 50122,
+  "[XXXXX1109]": 50470,
+  "[XXXXX110]": 50062,
+  "[XXXXX1110]": 51019,
+  "[XXXXX1111]": 51124,
+  "[XXXXX1112]": 50146,
+  "[XXXXX1113]": 51125,
+  "[XXXXX1114]": 50434,
+  "[XXXXX1115]": 50818,
+  "[XXXXX1116]": 50960,
+  "[XXXXX1117]": 50258,
+  "[XXXXX1118]": 50596,
+  "[XXXXX1119]": 50083,
+  "[XXXXX111]": 51064,
+  "[XXXXX1120]": 50915,
+  "[XXXXX1121]": 50835,
+  "[XXXXX1122]": 51056,
+  "[XXXXX1123]": 50172,
+  "[XXXXX1124]": 50972,
+  "[XXXXX1125]": 50275,
+  "[XXXXX1126]": 50430,
+  "[XXXXX1127]": 50743,
+  "[XXXXX1128]": 50551,
+  "[XXXXX1129]": 50439,
+  "[XXXXX112]": 50819,
+  "[XXXXX1130]": 50536,
+  "[XXXXX1131]": 50622,
+  "[XXXXX1132]": 50623,
+  "[XXXXX1133]": 50117,
+  "[XXXXX1134]": 50251,
+  "[XXXXX1135]": 50678,
+  "[XXXXX1136]": 50316,
+  "[XXXXX1137]": 50905,
+  "[XXXXX1138]": 50992,
+  "[XXXXX1139]": 50851,
+  "[XXXXX113]": 50443,
+  "[XXXXX1140]": 50499,
+  "[XXXXX1141]": 50629,
+  "[XXXXX1142]": 50944,
+  "[XXXXX1143]": 50373,
+  "[XXXXX1144]": 50123,
+  "[XXXXX1145]": 50173,
+  "[XXXXX1146]": 50891,
+  "[XXXXX1147]": 50471,
+  "[XXXXX1148]": 50560,
+  "[XXXXX1149]": 50541,
+  "[XXXXX114]": 50631,
+  "[XXXXX1150]": 50033,
+  "[XXXXX1151]": 50063,
+  "[XXXXX1152]": 50767,
+  "[XXXXX1153]": 50897,
+  "[XXXXX1154]": 50568,
+  "[XXXXX1155]": 51131,
+  "[XXXXX1156]": 50009,
+  "[XXXXX1157]": 50417,
+  "[XXXXX1158]": 50477,
+  "[XXXXX1159]": 50941,
+  "[XXXXX115]": 50294,
+  "[XXXXX1160]": 50679,
+  "[XXXXX1161]": 51108,
+  "[XXXXX1162]": 50332,
+  "[XXXXX1163]": 50424,
+  "[XXXXX1164]": 50473,
+  "[XXXXX1165]": 50793,
+  "[XXXXX1166]": 50453,
+  "[XXXXX1167]": 50807,
+  "[XXXXX1168]": 50128,
+  "[XXXXX1169]": 50039,
+  "[XXXXX116]": 50759,
+  "[XXXXX1170]": 50735,
+  "[XXXXX1171]": 50366,
+  "[XXXXX1172]": 50808,
+  "[XXXXX1173]": 50426,
+  "[XXXXX1174]": 50076,
+  "[XXXXX1175]": 50943,
+  "[XXXXX1176]": 50252,
+  "[XXXXX1177]": 50999,
+  "[XXXXX1178]": 50264,
+  "[XXXXX1179]": 50607,
+  "[XXXXX117]": 51036,
+  "[XXXXX1180]": 50986,
+  "[XXXXX1181]": 50744,
+  "[XXXXX1182]": 50186,
+  "[XXXXX1183]": 50555,
+  "[XXXXX1184]": 51076,
+  "[XXXXX1185]": 50849,
+  "[XXXXX1186]": 51128,
+  "[XXXXX1187]": 50858,
+  "[XXXXX1188]": 50656,
+  "[XXXXX1189]": 50064,
+  "[XXXXX118]": 50081,
+  "[XXXXX1190]": 51197,
+  "[XXXXX1191]": 50104,
+  "[XXXXX1192]": 50045,
+  "[XXXXX1193]": 50404,
+  "[XXXXX1194]": 50690,
+  "[XXXXX1195]": 50495,
+  "[XXXXX119]": 50108,
+  "[XXXXX11]": 50976,
+  "[XXXXX120]": 51081,
+  "[XXXXX121]": 50464,
+  "[XXXXX122]": 50829,
+  "[XXXXX123]": 50766,
+  "[XXXXX124]": 50732,
+  "[XXXXX125]": 50221,
+  "[XXXXX126]": 50810,
+  "[XXXXX127]": 50130,
+  "[XXXXX128]": 50751,
+  "[XXXXX129]": 50662,
+  "[XXXXX12]": 50602,
+  "[XXXXX130]": 50035,
+  "[XXXXX131]": 50715,
+  "[XXXXX132]": 50340,
+  "[XXXXX133]": 50563,
+  "[XXXXX134]": 50993,
+  "[XXXXX135]": 50304,
+  "[XXXXX136]": 50131,
+  "[XXXXX137]": 50578,
+  "[XXXXX138]": 50757,
+  "[XXXXX139]": 50582,
+  "[XXXXX13]": 50105,
+  "[XXXXX140]": 50085,
+  "[XXXXX141]": 50553,
+  "[XXXXX142]": 50749,
+  "[XXXXX143]": 50351,
+  "[XXXXX144]": 51024,
+  "[XXXXX145]": 51144,
+  "[XXXXX146]": 50042,
+  "[XXXXX147]": 50145,
+  "[XXXXX148]": 50066,
+  "[XXXXX149]": 50876,
+  "[XXXXX14]": 51006,
+  "[XXXXX150]": 50280,
+  "[XXXXX151]": 50093,
+  "[XXXXX152]": 50638,
+  "[XXXXX153]": 50684,
+  "[XXXXX154]": 50820,
+  "[XXXXX155]": 51196,
+  "[XXXXX156]": 50317,
+  "[XXXXX157]": 50284,
+  "[XXXXX158]": 50288,
+  "[XXXXX159]": 50814,
+  "[XXXXX15]": 50608,
+  "[XXXXX160]": 50004,
+  "[XXXXX161]": 50008,
+  "[XXXXX162]": 50377,
+  "[XXXXX163]": 50214,
+  "[XXXXX164]": 50708,
+  "[XXXXX165]": 50390,
+  "[XXXXX166]": 50741,
+  "[XXXXX167]": 50445,
+  "[XXXXX168]": 50936,
+  "[XXXXX169]": 50896,
+  "[XXXXX16]": 50442,
+  "[XXXXX170]": 50109,
+  "[XXXXX171]": 50140,
+  "[XXXXX172]": 50427,
+  "[XXXXX173]": 51074,
+  "[XXXXX174]": 50162,
+  "[XXXXX175]": 51015,
+  "[XXXXX176]": 50524,
+  "[XXXXX177]": 50673,
+  "[XXXXX178]": 50054,
+  "[XXXXX179]": 50805,
+  "[XXXXX17]": 50482,
+  "[XXXXX180]": 50253,
+  "[XXXXX181]": 50493,
+  "[XXXXX182]": 50421,
+  "[XXXXX183]": 51050,
+  "[XXXXX184]": 50521,
+  "[XXXXX185]": 50188,
+  "[XXXXX186]": 50147,
+  "[XXXXX187]": 50201,
+  "[XXXXX188]": 50973,
+  "[XXXXX189]": 50409,
+  "[XXXXX18]": 50115,
+  "[XXXXX190]": 50051,
+  "[XXXXX191]": 51020,
+  "[XXXXX192]": 51047,
+  "[XXXXX193]": 50669,
+  "[XXXXX194]": 50643,
+  "[XXXXX195]": 50159,
+  "[XXXXX196]": 50649,
+  "[XXXXX197]": 51178,
+  "[XXXXX198]": 50043,
+  "[XXXXX199]": 51147,
+  "[XXXXX19]": 51127,
+  "[XXXXX1]": 51114,
+  "[XXXXX200]": 50840,
+  "[XXXXX201]": 50365,
+  "[XXXXX202]": 50232,
+  "[XXXXX203]": 50241,
+  "[XXXXX204]": 50548,
+  "[XXXXX205]": 50781,
+  "[XXXXX206]": 50923,
+  "[XXXXX207]": 51115,
+  "[XXXXX208]": 50344,
+  "[XXXXX209]": 50299,
+  "[XXXXX20]": 51031,
+  "[XXXXX210]": 51179,
+  "[XXXXX211]": 51163,
+  "[XXXXX212]": 50562,
+  "[XXXXX213]": 50094,
+  "[XXXXX214]": 50257,
+  "[XXXXX215]": 50967,
+  "[XXXXX216]": 50523,
+  "[XXXXX217]": 51132,
+  "[XXXXX218]": 51146,
+  "[XXXXX219]": 50411,
+  "[XXXXX21]": 50354,
+  "[XXXXX220]": 50853,
+  "[XXXXX221]": 50886,
+  "[XXXXX222]": 50600,
+  "[XXXXX223]": 50873,
+  "[XXXXX224]": 50416,
+  "[XXXXX225]": 50675,
+  "[XXXXX226]": 50583,
+  "[XXXXX227]": 50151,
+  "[XXXXX228]": 50927,
+  "[XXXXX229]": 50609,
+  "[XXXXX22]": 50589,
+  "[XXXXX230]": 50238,
+  "[XXXXX231]": 50242,
+  "[XXXXX232]": 51016,
+  "[XXXXX233]": 50406,
+  "[XXXXX234]": 50908,
+  "[XXXXX235]": 50024,
+  "[XXXXX236]": 50270,
+  "[XXXXX237]": 50132,
+  "[XXXXX238]": 50800,
+  "[XXXXX239]": 50236,
+  "[XXXXX23]": 50007,
+  "[XXXXX240]": 50005,
+  "[XXXXX241]": 50894,
+  "[XXXXX242]": 50694,
+  "[XXXXX243]": 51071,
+  "[XXXXX244]": 51017,
+  "[XXXXX245]": 50068,
+  "[XXXXX246]": 50682,
+  "[XXXXX247]": 50913,
+  "[XXXXX248]": 51028,
+  "[XXXXX249]": 50037,
+  "[XXXXX24]": 51169,
+  "[XXXXX250]": 50747,
+  "[XXXXX251]": 50947,
+  "[XXXXX252]": 50329,
+  "[XXXXX253]": 50612,
+  "[XXXXX254]": 50110,
+  "[XXXXX255]": 50824,
+  "[XXXXX256]": 50558,
+  "[XXXXX257]": 50969,
+  "[XXXXX258]": 50729,
+  "[XXXXX259]": 50125,
+  "[XXXXX25]": 51160,
+  "[XXXXX260]": 50040,
+  "[XXXXX261]": 51038,
+  "[XXXXX262]": 50347,
+  "[XXXXX263]": 50740,
+  "[XXXXX264]": 51195,
+  "[XXXXX265]": 50879,
+  "[XXXXX266]": 50770,
+  "[XXXXX267]": 50178,
+  "[XXXXX268]": 50804,
+  "[XXXXX269]": 50906,
+  "[XXXXX26]": 50150,
+  "[XXXXX270]": 51191,
+  "[XXXXX271]": 50047,
+  "[XXXXX272]": 50195,
+  "[XXXXX273]": 50554,
+  "[XXXXX274]": 50833,
+  "[XXXXX275]": 50346,
+  "[XXXXX276]": 50950,
+  "[XXXXX277]": 50864,
+  "[XXXXX278]": 50259,
+  "[XXXXX279]": 50671,
+  "[XXXXX27]": 50468,
+  "[XXXXX280]": 50082,
+  "[XXXXX281]": 50565,
+  "[XXXXX282]": 50984,
+  "[XXXXX283]": 50650,
+  "[XXXXX284]": 50975,
+  "[XXXXX285]": 50603,
+  "[XXXXX286]": 50027,
+  "[XXXXX287]": 50181,
+  "[XXXXX288]": 50981,
+  "[XXXXX289]": 50885,
+  "[XXXXX28]": 50249,
+  "[XXXXX290]": 50522,
+  "[XXXXX291]": 50050,
+  "[XXXXX292]": 50313,
+  "[XXXXX293]": 50503,
+  "[XXXXX294]": 51176,
+  "[XXXXX295]": 51177,
+  "[XXXXX296]": 50379,
+  "[XXXXX297]": 50635,
+  "[XXXXX298]": 50723,
+  "[XXXXX299]": 50200,
+  "[XXXXX29]": 50892,
+  "[XXXXX2]": 51119,
+  "[XXXXX300]": 51026,
+  "[XXXXX301]": 50528,
+  "[XXXXX302]": 51149,
+  "[XXXXX303]": 50044,
+  "[XXXXX304]": 50209,
+  "[XXXXX305]": 50988,
+  "[XXXXX306]": 50518,
+  "[XXXXX307]": 50088,
+  "[XXXXX308]": 50733,
+  "[XXXXX309]": 51066,
+  "[XXXXX30]": 50506,
+  "[XXXXX310]": 50285,
+  "[XXXXX311]": 50859,
+  "[XXXXX312]": 50263,
+  "[XXXXX313]": 50594,
+  "[XXXXX314]": 51103,
+  "[XXXXX315]": 50871,
+  "[XXXXX316]": 50300,
+  "[XXXXX317]": 50760,
+  "[XXXXX318]": 50055,
+  "[XXXXX319]": 50389,
+  "[XXXXX31]": 50212,
+  "[XXXXX320]": 50444,
+  "[XXXXX321]": 50994,
+  "[XXXXX322]": 50281,
+  "[XXXXX323]": 50179,
+  "[XXXXX324]": 50455,
+  "[XXXXX325]": 50970,
+  "[XXXXX326]": 50666,
+  "[XXXXX327]": 50604,
+  "[XXXXX328]": 50627,
+  "[XXXXX329]": 50475,
+  "[XXXXX32]": 50277,
+  "[XXXXX330]": 50667,
+  "[XXXXX331]": 50348,
+  "[XXXXX332]": 50772,
+  "[XXXXX333]": 50163,
+  "[XXXXX334]": 50569,
+  "[XXXXX335]": 50018,
+  "[XXXXX336]": 50883,
+  "[XXXXX337]": 50067,
+  "[XXXXX338]": 51184,
+  "[XXXXX339]": 50997,
+  "[XXXXX33]": 50403,
+  "[XXXXX340]": 51013,
+  "[XXXXX341]": 50957,
+  "[XXXXX342]": 51106,
+  "[XXXXX343]": 51174,
+  "[XXXXX344]": 50391,
+  "[XXXXX345]": 50948,
+  "[XXXXX346]": 50180,
+  "[XXXXX347]": 50811,
+  "[XXXXX348]": 50401,
+  "[XXXXX349]": 50911,
+  "[XXXXX34]": 50223,
+  "[XXXXX350]": 51089,
+  "[XXXXX351]": 50777,
+  "[XXXXX352]": 50189,
+  "[XXXXX353]": 50492,
+  "[XXXXX354]": 50205,
+  "[XXXXX355]": 50374,
+  "[XXXXX356]": 51152,
+  "[XXXXX357]": 50695,
+  "[XXXXX358]": 51117,
+  "[XXXXX359]": 50573,
+  "[XXXXX35]": 50752,
+  "[XXXXX360]": 50955,
+  "[XXXXX361]": 50349,
+  "[XXXXX362]": 51137,
+  "[XXXXX363]": 50641,
+  "[XXXXX364]": 51148,
+  "[XXXXX365]": 50255,
+  "[XXXXX366]": 50310,
+  "[XXXXX367]": 50314,
+  "[XXXXX368]": 50971,
+  "[XXXXX369]": 50916,
+  "[XXXXX36]": 50437,
+  "[XXXXX370]": 51096,
+  "[XXXXX371]": 50557,
+  "[XXXXX372]": 51095,
+  "[XXXXX373]": 50382,
+  "[XXXXX374]": 50119,
+  "[XXXXX375]": 50958,
+  "[XXXXX376]": 50624,
+  "[XXXXX377]": 50483,
+  "[XXXXX378]": 50605,
+  "[XXXXX379]": 50017,
+  "[XXXXX37]": 50706,
+  "[XXXXX380]": 50246,
+  "[XXXXX381]": 50588,
+  "[XXXXX382]": 51008,
+  "[XXXXX383]": 50801,
+  "[XXXXX384]": 50290,
+  "[XXXXX385]": 50899,
+  "[XXXXX386]": 50206,
+  "[XXXXX387]": 50716,
+  "[XXXXX388]": 51082,
+  "[XXXXX389]": 50177,
+  "[XXXXX38]": 50736,
+  "[XXXXX390]": 50282,
+  "[XXXXX391]": 51183,
+  "[XXXXX392]": 50286,
+  "[XXXXX393]": 50659,
+  "[XXXXX394]": 50378,
+  "[XXXXX395]": 50709,
+  "[XXXXX396]": 50028,
+  "[XXXXX397]": 50235,
+  "[XXXXX398]": 51014,
+  "[XXXXX399]": 50880,
+  "[XXXXX39]": 50305,
+  "[XXXXX3]": 50077,
+  "[XXXXX400]": 50155,
+  "[XXXXX401]": 50710,
+  "[XXXXX402]": 50507,
+  "[XXXXX403]": 50860,
+  "[XXXXX404]": 50661,
+  "[XXXXX405]": 51083,
+  "[XXXXX406]": 50888,
+  "[XXXXX407]": 50069,
+  "[XXXXX408]": 50691,
+  "[XXXXX409]": 51055,
+  "[XXXXX40]": 50337,
+  "[XXXXX410]": 50137,
+  "[XXXXX411]": 50791,
+  "[XXXXX412]": 50136,
+  "[XXXXX413]": 50730,
+  "[XXXXX414]": 50267,
+  "[XXXXX415]": 50012,
+  "[XXXXX416]": 50681,
+  "[XXXXX417]": 50942,
+  "[XXXXX418]": 50720,
+  "[XXXXX419]": 50844,
+  "[XXXXX41]": 50387,
+  "[XXXXX420]": 50111,
+  "[XXXXX421]": 51003,
+  "[XXXXX422]": 50785,
+  "[XXXXX423]": 50149,
+  "[XXXXX424]": 50422,
+  "[XXXXX425]": 51086,
+  "[XXXXX426]": 50862,
+  "[XXXXX427]": 50576,
+  "[XXXXX428]": 51049,
+  "[XXXXX429]": 50630,
+  "[XXXXX42]": 50799,
+  "[XXXXX430]": 50289,
+  "[XXXXX431]": 50184,
+  "[XXXXX432]": 50319,
+  "[XXXXX433]": 51116,
+  "[XXXXX434]": 50519,
+  "[XXXXX435]": 50496,
+  "[XXXXX436]": 50517,
+  "[XXXXX437]": 50865,
+  "[XXXXX438]": 50737,
+  "[XXXXX439]": 50356,
+  "[XXXXX43]": 50359,
+  "[XXXXX440]": 50898,
+  "[XXXXX441]": 50113,
+  "[XXXXX442]": 50527,
+  "[XXXXX443]": 50762,
+  "[XXXXX444]": 50540,
+  "[XXXXX445]": 50925,
+  "[XXXXX446]": 50711,
+  "[XXXXX447]": 50143,
+  "[XXXXX448]": 51170,
+  "[XXXXX449]": 50413,
+  "[XXXXX44]": 50097,
+  "[XXXXX450]": 50375,
+  "[XXXXX451]": 50846,
+  "[XXXXX452]": 50217,
+  "[XXXXX453]": 50699,
+  "[XXXXX454]": 50412,
+  "[XXXXX455]": 50418,
+  "[XXXXX456]": 51143,
+  "[XXXXX457]": 51141,
+  "[XXXXX458]": 51157,
+  "[XXXXX459]": 50825,
+  "[XXXXX45]": 50203,
+  "[XXXXX460]": 50194,
+  "[XXXXX461]": 50148,
+  "[XXXXX462]": 50276,
+  "[XXXXX463]": 50271,
+  "[XXXXX464]": 50836,
+  "[XXXXX465]": 50854,
+  "[XXXXX466]": 50164,
+  "[XXXXX467]": 50484,
+  "[XXXXX468]": 51097,
+  "[XXXXX469]": 50182,
+  "[XXXXX46]": 50505,
+  "[XXXXX470]": 50670,
+  "[XXXXX471]": 50595,
+  "[XXXXX472]": 50237,
+  "[XXXXX473]": 50057,
+  "[XXXXX474]": 50431,
+  "[XXXXX475]": 50738,
+  "[XXXXX476]": 51145,
+  "[XXXXX477]": 50247,
+  "[XXXXX478]": 50029,
+  "[XXXXX479]": 50917,
+  "[XXXXX47]": 50579,
+  "[XXXXX480]": 50702,
+  "[XXXXX481]": 50831,
+  "[XXXXX482]": 50753,
+  "[XXXXX483]": 50598,
+  "[XXXXX484]": 51136,
+  "[XXXXX485]": 50092,
+  "[XXXXX486]": 50202,
+  "[XXXXX487]": 50106,
+  "[XXXXX488]": 50924,
+  "[XXXXX489]": 51113,
+  "[XXXXX48]": 50842,
+  "[XXXXX490]": 50761,
+  "[XXXXX491]": 50577,
+  "[XXXXX492]": 50692,
+  "[XXXXX493]": 51130,
+  "[XXXXX494]": 50932,
+  "[XXXXX495]": 50837,
+  "[XXXXX496]": 50893,
+  "[XXXXX497]": 50773,
+  "[XXXXX498]": 50360,
+  "[XXXXX499]": 50900,
+  "[XXXXX49]": 51062,
+  "[XXXXX4]": 50396,
+  "[XXXXX500]": 51034,
+  "[XXXXX501]": 50472,
+  "[XXXXX502]": 50660,
+  "[XXXXX503]": 50815,
+  "[XXXXX504]": 50939,
+  "[XXXXX505]": 50419,
+  "[XXXXX506]": 50324,
+  "[XXXXX507]": 50428,
+  "[XXXXX508]": 50274,
+  "[XXXXX509]": 50311,
+  "[XXXXX50]": 50459,
+  "[XXXXX510]": 50674,
+  "[XXXXX511]": 50580,
+  "[XXXXX512]": 50956,
+  "[XXXXX513]": 50165,
+  "[XXXXX514]": 50320,
+  "[XXXXX515]": 50648,
+  "[XXXXX516]": 50386,
+  "[XXXXX517]": 50058,
+  "[XXXXX518]": 51045,
+  "[XXXXX519]": 50103,
+  "[XXXXX51]": 50979,
+  "[XXXXX520]": 50530,
+  "[XXXXX521]": 50907,
+  "[XXXXX522]": 50260,
+  "[XXXXX523]": 50632,
+  "[XXXXX524]": 50926,
+  "[XXXXX525]": 50687,
+  "[XXXXX526]": 50160,
+  "[XXXXX527]": 51053,
+  "[XXXXX528]": 50652,
+  "[XXXXX529]": 51041,
+  "[XXXXX52]": 50272,
+  "[XXXXX530]": 51111,
+  "[XXXXX531]": 51009,
+  "[XXXXX532]": 51079,
+  "[XXXXX533]": 50487,
+  "[XXXXX534]": 51059,
+  "[XXXXX535]": 50335,
+  "[XXXXX536]": 50380,
+  "[XXXXX537]": 50301,
+  "[XXXXX538]": 51067,
+  "[XXXXX539]": 51052,
+  "[XXXXX53]": 51048,
+  "[XXXXX540]": 50822,
+  "[XXXXX541]": 51040,
+  "[XXXXX542]": 50490,
+  "[XXXXX543]": 50448,
+  "[XXXXX544]": 50812,
+  "[XXXXX545]": 50099,
+  "[XXXXX546]": 51199,
+  "[XXXXX547]": 50226,
+  "[XXXXX548]": 50538,
+  "[XXXXX549]": 50342,
+  "[XXXXX54]": 50701,
+  "[XXXXX550]": 50544,
+  "[XXXXX551]": 50398,
+  "[XXXXX552]": 51102,
+  "[XXXXX553]": 50919,
+  "[XXXXX554]": 50615,
+  "[XXXXX555]": 50769,
+  "[XXXXX556]": 50940,
+  "[XXXXX557]": 50070,
+  "[XXXXX558]": 50680,
+  "[XXXXX559]": 50611,
+  "[XXXXX55]": 50574,
+  "[XXXXX560]": 50381,
+  "[XXXXX561]": 50350,
+  "[XXXXX562]": 50175,
+  "[XXXXX563]": 50584,
+  "[XXXXX564]": 50703,
+  "[XXXXX565]": 50989,
+  "[XXXXX566]": 50877,
+  "[XXXXX567]": 51039,
+  "[XXXXX568]": 51018,
+  "[XXXXX569]": 50452,
+  "[XXXXX56]": 51099,
+  "[XXXXX570]": 50161,
+  "[XXXXX571]": 50921,
+  "[XXXXX572]": 50676,
+  "[XXXXX573]": 50326,
+  "[XXXXX574]": 50987,
+  "[XXXXX575]": 50361,
+  "[XXXXX576]": 50071,
+  "[XXXXX577]": 50803,
+  "[XXXXX578]": 50400,
+  "[XXXXX579]": 51091,
+  "[XXXXX57]": 50501,
+  "[XXXXX580]": 50887,
+  "[XXXXX581]": 50839,
+  "[XXXXX582]": 51138,
+  "[XXXXX583]": 50816,
+  "[XXXXX584]": 50339,
+  "[XXXXX585]": 50463,
+  "[XXXXX586]": 50399,
+  "[XXXXX587]": 51070,
+  "[XXXXX588]": 50457,
+  "[XXXXX589]": 50828,
+  "[XXXXX58]": 50183,
+  "[XXXXX590]": 50080,
+  "[XXXXX591]": 50550,
+  "[XXXXX592]": 50129,
+  "[XXXXX593]": 50273,
+  "[XXXXX594]": 50388,
+  "[XXXXX595]": 50491,
+  "[XXXXX596]": 50278,
+  "[XXXXX597]": 50011,
+  "[XXXXX598]": 50254,
+  "[XXXXX599]": 50302,
+  "[XXXXX59]": 50353,
+  "[XXXXX5]": 50010,
+  "[XXXXX600]": 50704,
+  "[XXXXX601]": 51118,
+  "[XXXXX602]": 50049,
+  "[XXXXX603]": 51190,
+  "[XXXXX604]": 51142,
+  "[XXXXX605]": 50707,
+  "[XXXXX606]": 50937,
+  "[XXXXX607]": 50875,
+  "[XXXXX608]": 50564,
+  "[XXXXX609]": 50345,
+  "[XXXXX60]": 50713,
+  "[XXXXX610]": 50949,
+  "[XXXXX611]": 50978,
+  "[XXXXX612]": 50330,
+  "[XXXXX613]": 51035,
+  "[XXXXX614]": 50402,
+  "[XXXXX615]": 50176,
+  "[XXXXX616]": 51133,
+  "[XXXXX617]": 50222,
+  "[XXXXX618]": 50118,
+  "[XXXXX619]": 50196,
+  "[XXXXX61]": 50298,
+  "[XXXXX620]": 50668,
+  "[XXXXX621]": 50462,
+  "[XXXXX622]": 50218,
+  "[XXXXX623]": 51101,
+  "[XXXXX624]": 50362,
+  "[XXXXX625]": 50779,
+  "[XXXXX626]": 50513,
+  "[XXXXX627]": 50746,
+  "[XXXXX628]": 50141,
+  "[XXXXX629]": 50479,
+  "[XXXXX62]": 50056,
+  "[XXXXX630]": 51180,
+  "[XXXXX631]": 50872,
+  "[XXXXX632]": 50315,
+  "[XXXXX633]": 50397,
+  "[XXXXX634]": 51165,
+  "[XXXXX635]": 50046,
+  "[XXXXX636]": 50795,
+  "[XXXXX637]": 50959,
+  "[XXXXX638]": 50786,
+  "[XXXXX639]": 50240,
+  "[XXXXX63]": 51061,
+  "[XXXXX640]": 50601,
+  "[XXXXX641]": 50904,
+  "[XXXXX642]": 50376,
+  "[XXXXX643]": 50663,
+  "[XXXXX644]": 50613,
+  "[XXXXX645]": 50467,
+  "[XXXXX646]": 50546,
+  "[XXXXX647]": 50465,
+  "[XXXXX648]": 50395,
+  "[XXXXX649]": 50287,
+  "[XXXXX64]": 51162,
+  "[XXXXX650]": 50474,
+  "[XXXXX651]": 50727,
+  "[XXXXX652]": 50243,
+  "[XXXXX653]": 51100,
+  "[XXXXX654]": 50705,
+  "[XXXXX655]": 51012,
+  "[XXXXX656]": 50447,
+  "[XXXXX657]": 50719,
+  "[XXXXX658]": 50712,
+  "[XXXXX659]": 50476,
+  "[XXXXX65]": 50587,
+  "[XXXXX660]": 51054,
+  "[XXXXX661]": 51166,
+  "[XXXXX662]": 50494,
+  "[XXXXX663]": 50230,
+  "[XXXXX664]": 50621,
+  "[XXXXX665]": 50809,
+  "[XXXXX666]": 50265,
+  "[XXXXX667]": 50645,
+  "[XXXXX668]": 50817,
+  "[XXXXX669]": 50030,
+  "[XXXXX66]": 51029,
+  "[XXXXX670]": 51004,
+  "[XXXXX671]": 50685,
+  "[XXXXX672]": 50625,
+  "[XXXXX673]": 50890,
+  "[XXXXX674]": 50383,
+  "[XXXXX675]": 50929,
+  "[XXXXX676]": 50116,
+  "[XXXXX677]": 51072,
+  "[XXXXX678]": 51126,
+  "[XXXXX679]": 50755,
+  "[XXXXX67]": 50717,
+  "[XXXXX680]": 50303,
+  "[XXXXX681]": 50504,
+  "[XXXXX682]": 51075,
+  "[XXXXX683]": 50261,
+  "[XXXXX684]": 50861,
+  "[XXXXX685]": 50306,
+  "[XXXXX686]": 50016,
+  "[XXXXX687]": 50101,
+  "[XXXXX688]": 51098,
+  "[XXXXX689]": 50827,
+  "[XXXXX68]": 50863,
+  "[XXXXX690]": 50640,
+  "[XXXXX691]": 50031,
+  "[XXXXX692]": 50768,
+  "[XXXXX693]": 50013,
+  "[XXXXX694]": 51032,
+  "[XXXXX695]": 50166,
+  "[XXXXX696]": 50127,
+  "[XXXXX697]": 50414,
+  "[XXXXX698]": 50742,
+  "[XXXXX699]": 51042,
+  "[XXXXX69]": 51112,
+  "[XXXXX6]": 50593,
+  "[XXXXX700]": 50292,
+  "[XXXXX701]": 50174,
+  "[XXXXX702]": 50547,
+  "[XXXXX703]": 50498,
+  "[XXXXX704]": 51078,
+  "[XXXXX705]": 50133,
+  "[XXXXX706]": 50041,
+  "[XXXXX707]": 51181,
+  "[XXXXX708]": 50585,
+  "[XXXXX709]": 50776,
+  "[XXXXX70]": 50053,
+  "[XXXXX710]": 50336,
+  "[XXXXX711]": 50765,
+  "[XXXXX712]": 50224,
+  "[XXXXX713]": 50599,
+  "[XXXXX714]": 50207,
+  "[XXXXX715]": 51043,
+  "[XXXXX716]": 51090,
+  "[XXXXX717]": 50006,
+  "[XXXXX718]": 50901,
+  "[XXXXX719]": 51001,
+  "[XXXXX71]": 50954,
+  "[XXXXX720]": 50646,
+  "[XXXXX721]": 50075,
+  "[XXXXX722]": 51120,
+  "[XXXXX723]": 50215,
+  "[XXXXX724]": 50415,
+  "[XXXXX725]": 50154,
+  "[XXXXX726]": 50935,
+  "[XXXXX727]": 50545,
+  "[XXXXX728]": 51085,
+  "[XXXXX729]": 50256,
+  "[XXXXX72]": 50363,
+  "[XXXXX730]": 50700,
+  "[XXXXX731]": 50262,
+  "[XXXXX732]": 50930,
+  "[XXXXX733]": 50333,
+  "[XXXXX734]": 50884,
+  "[XXXXX735]": 51030,
+  "[XXXXX736]": 50231,
+  "[XXXXX737]": 50405,
+  "[XXXXX738]": 50962,
+  "[XXXXX739]": 50458,
+  "[XXXXX73]": 50019,
+  "[XXXXX740]": 50878,
+  "[XXXXX741]": 50910,
+  "[XXXXX742]": 50170,
+  "[XXXXX743]": 50718,
+  "[XXXXX744]": 50616,
+  "[XXXXX745]": 50358,
+  "[XXXXX746]": 50152,
+  "[XXXXX747]": 50525,
+  "[XXXXX748]": 51167,
+  "[XXXXX749]": 50653,
+  "[XXXXX74]": 50952,
+  "[XXXXX750]": 50500,
+  "[XXXXX751]": 50446,
+  "[XXXXX752]": 50995,
+  "[XXXXX753]": 50945,
+  "[XXXXX754]": 51173,
+  "[XXXXX755]": 50823,
+  "[XXXXX756]": 51060,
+  "[XXXXX757]": 50748,
+  "[XXXXX758]": 50020,
+  "[XXXXX759]": 50197,
+  "[XXXXX75]": 50502,
+  "[XXXXX760]": 50291,
+  "[XXXXX761]": 50821,
+  "[XXXXX762]": 50190,
+  "[XXXXX763]": 50745,
+  "[XXXXX764]": 50778,
+  "[XXXXX765]": 50556,
+  "[XXXXX766]": 51161,
+  "[XXXXX767]": 50466,
+  "[XXXXX768]": 50792,
+  "[XXXXX769]": 50208,
+  "[XXXXX76]": 50169,
+  "[XXXXX770]": 50647,
+  "[XXXXX771]": 50610,
+  "[XXXXX772]": 51140,
+  "[XXXXX773]": 50441,
+  "[XXXXX774]": 50870,
+  "[XXXXX775]": 50368,
+  "[XXXXX776]": 50026,
+  "[XXXXX777]": 50677,
+  "[XXXXX778]": 51168,
+  "[XXXXX779]": 50481,
+  "[XXXXX77]": 50515,
+  "[XXXXX780]": 50225,
+  "[XXXXX781]": 50408,
+  "[XXXXX782]": 50090,
+  "[XXXXX783]": 50951,
+  "[XXXXX784]": 50015,
+  "[XXXXX785]": 50658,
+  "[XXXXX786]": 50617,
+  "[XXXXX787]": 50721,
+  "[XXXXX788]": 51084,
+  "[XXXXX789]": 50830,
+  "[XXXXX78]": 50100,
+  "[XXXXX790]": 50606,
+  "[XXXXX791]": 50124,
+  "[XXXXX792]": 50078,
+  "[XXXXX793]": 51188,
+  "[XXXXX794]": 50750,
+  "[XXXXX795]": 50138,
+  "[XXXXX796]": 50239,
+  "[XXXXX797]": 50385,
+  "[XXXXX798]": 50780,
+  "[XXXXX799]": 50683,
+  "[XXXXX79]": 50436,
+  "[XXXXX7]": 50211,
+  "[XXXXX800]": 51185,
+  "[XXXXX801]": 50250,
+  "[XXXXX802]": 50456,
+  "[XXXXX803]": 50508,
+  "[XXXXX804]": 51194,
+  "[XXXXX805]": 50021,
+  "[XXXXX806]": 50307,
+  "[XXXXX807]": 50199,
+  "[XXXXX808]": 51129,
+  "[XXXXX809]": 50686,
+  "[XXXXX80]": 50370,
+  "[XXXXX810]": 50343,
+  "[XXXXX811]": 50614,
+  "[XXXXX812]": 50636,
+  "[XXXXX813]": 51198,
+  "[XXXXX814]": 50788,
+  "[XXXXX815]": 50120,
+  "[XXXXX816]": 50135,
+  "[XXXXX817]": 50293,
+  "[XXXXX818]": 50153,
+  "[XXXXX819]": 50516,
+  "[XXXXX81]": 50581,
+  "[XXXXX820]": 50586,
+  "[XXXXX821]": 50509,
+  "[XXXXX822]": 50220,
+  "[XXXXX823]": 51068,
+  "[XXXXX824]": 50946,
+  "[XXXXX825]": 50965,
+  "[XXXXX826]": 50032,
+  "[XXXXX827]": 50156,
+  "[XXXXX828]": 50449,
+  "[XXXXX829]": 50531,
+  "[XXXXX82]": 51164,
+  "[XXXXX830]": 50486,
+  "[XXXXX831]": 50357,
+  "[XXXXX832]": 51022,
+  "[XXXXX833]": 50633,
+  "[XXXXX834]": 50754,
+  "[XXXXX835]": 51134,
+  "[XXXXX836]": 50193,
+  "[XXXXX837]": 51088,
+  "[XXXXX838]": 50722,
+  "[XXXXX839]": 50756,
+  "[XXXXX83]": 50977,
+  "[XXXXX840]": 50022,
+  "[XXXXX841]": 51186,
+  "[XXXXX842]": 50575,
+  "[XXXXX843]": 50079,
+  "[XXXXX844]": 50644,
+  "[XXXXX845]": 51033,
+  "[XXXXX846]": 50454,
+  "[XXXXX847]": 50095,
+  "[XXXXX848]": 50902,
+  "[XXXXX849]": 50597,
+  "[XXXXX84]": 50167,
+  "[XXXXX850]": 51051,
+  "[XXXXX851]": 50696,
+  "[XXXXX852]": 50966,
+  "[XXXXX853]": 50034,
+  "[XXXXX854]": 50889,
+  "[XXXXX855]": 50843,
+  "[XXXXX856]": 50963,
+  "[XXXXX857]": 50227,
+  "[XXXXX858]": 51058,
+  "[XXXXX859]": 50850,
+  "[XXXXX85]": 50192,
+  "[XXXXX860]": 50228,
+  "[XXXXX861]": 50570,
+  "[XXXXX862]": 50488,
+  "[XXXXX863]": 50539,
+  "[XXXXX864]": 51182,
+  "[XXXXX865]": 50990,
+  "[XXXXX866]": 50542,
+  "[XXXXX867]": 51069,
+  "[XXXXX868]": 50480,
+  "[XXXXX869]": 50847,
+  "[XXXXX86]": 50874,
+  "[XXXXX870]": 50308,
+  "[XXXXX871]": 50510,
+  "[XXXXX872]": 50423,
+  "[XXXXX873]": 50086,
+  "[XXXXX874]": 50591,
+  "[XXXXX875]": 50728,
+  "[XXXXX876]": 50372,
+  "[XXXXX877]": 50903,
+  "[XXXXX878]": 50868,
+  "[XXXXX879]": 50763,
+  "[XXXXX87]": 50571,
+  "[XXXXX880]": 50096,
+  "[XXXXX881]": 51150,
+  "[XXXXX882]": 50460,
+  "[XXXXX883]": 51087,
+  "[XXXXX884]": 51093,
+  "[XXXXX885]": 50295,
+  "[XXXXX886]": 51037,
+  "[XXXXX887]": 51171,
+  "[XXXXX888]": 50794,
+  "[XXXXX889]": 50628,
+  "[XXXXX88]": 50520,
+  "[XXXXX890]": 51172,
+  "[XXXXX891]": 51046,
+  "[XXXXX892]": 50918,
+  "[XXXXX893]": 50998,
+  "[XXXXX894]": 50371,
+  "[XXXXX895]": 51155,
+  "[XXXXX896]": 50866,
+  "[XXXXX897]": 50229,
+  "[XXXXX898]": 51057,
+  "[XXXXX899]": 50867,
+  "[XXXXX89]": 50537,
+  "[XXXXX8]": 50784,
+  "[XXXXX900]": 50739,
+  "[XXXXX901]": 51080,
+  "[XXXXX902]": 50038,
+  "[XXXXX903]": 50321,
+  "[XXXXX904]": 50774,
+  "[XXXXX905]": 50974,
+  "[XXXXX906]": 50920,
+  "[XXXXX907]": 50469,
+  "[XXXXX908]": 51122,
+  "[XXXXX909]": 51092,
+  "[XXXXX90]": 50514,
+  "[XXXXX910]": 50798,
+  "[XXXXX911]": 50245,
+  "[XXXXX912]": 50367,
+  "[XXXXX913]": 50618,
+  "[XXXXX914]": 50072,
+  "[XXXXX915]": 50450,
+  "[XXXXX916]": 51189,
+  "[XXXXX917]": 50485,
+  "[XXXXX918]": 50283,
+  "[XXXXX919]": 50845,
+  "[XXXXX91]": 50968,
+  "[XXXXX920]": 50429,
+  "[XXXXX921]": 50364,
+  "[XXXXX922]": 50782,
+  "[XXXXX923]": 50534,
+  "[XXXXX924]": 50059,
+  "[XXXXX925]": 50102,
+  "[XXXXX926]": 50185,
+  "[XXXXX927]": 50634,
+  "[XXXXX928]": 50567,
+  "[XXXXX929]": 50895,
+  "[XXXXX92]": 50210,
+  "[XXXXX930]": 50561,
+  "[XXXXX931]": 51021,
+  "[XXXXX932]": 50107,
+  "[XXXXX933]": 50407,
+  "[XXXXX934]": 50654,
+  "[XXXXX935]": 50268,
+  "[XXXXX936]": 51153,
+  "[XXXXX937]": 50552,
+  "[XXXXX938]": 50526,
+  "[XXXXX939]": 50322,
+  "[XXXXX93]": 50912,
+  "[XXXXX940]": 50296,
+  "[XXXXX941]": 50572,
+  "[XXXXX942]": 50393,
+  "[XXXXX943]": 50312,
+  "[XXXXX944]": 50592,
+  "[XXXXX945]": 50982,
+  "[XXXXX946]": 50089,
+  "[XXXXX947]": 50331,
+  "[XXXXX948]": 50279,
+  "[XXXXX949]": 51005,
+  "[XXXXX94]": 50198,
+  "[XXXXX950]": 50114,
+  "[XXXXX951]": 50074,
+  "[XXXXX952]": 50248,
+  "[XXXXX953]": 50857,
+  "[XXXXX954]": 50841,
+  "[XXXXX955]": 51065,
+  "[XXXXX956]": 50234,
+  "[XXXXX957]": 50834,
+  "[XXXXX958]": 50535,
+  "[XXXXX959]": 51109,
+  "[XXXXX95]": 50651,
+  "[XXXXX960]": 50797,
+  "[XXXXX961]": 50914,
+  "[XXXXX962]": 50112,
+  "[XXXXX963]": 50073,
+  "[XXXXX964]": 50559,
+  "[XXXXX965]": 50933,
+  "[XXXXX966]": 50619,
+  "[XXXXX967]": 51187,
+  "[XXXXX968]": 50327,
+  "[XXXXX969]": 50698,
+  "[XXXXX96]": 50420,
+  "[XXXXX970]": 50060,
+  "[XXXXX971]": 50432,
+  "[XXXXX972]": 50620,
+  "[XXXXX973]": 50693,
+  "[XXXXX974]": 50938,
+  "[XXXXX975]": 50983,
+  "[XXXXX976]": 50334,
+  "[XXXXX977]": 50438,
+  "[XXXXX978]": 51154,
+  "[XXXXX979]": 50964,
+  "[XXXXX97]": 50672,
+  "[XXXXX980]": 50511,
+  "[XXXXX981]": 50244,
+  "[XXXXX982]": 50266,
+  "[XXXXX983]": 50134,
+  "[XXXXX984]": 50338,
+  "[XXXXX985]": 51121,
+  "[XXXXX986]": 50323,
+  "[XXXXX987]": 50909,
+  "[XXXXX988]": 51000,
+  "[XXXXX989]": 50036,
+  "[XXXXX98]": 50787,
+  "[XXXXX990]": 50512,
+  "[XXXXX991]": 50191,
+  "[XXXXX992]": 50187,
+  "[XXXXX993]": 51156,
+  "[XXXXX994]": 51135,
+  "[XXXXX995]": 50355,
+  "[XXXXX996]": 51027,
+  "[XXXXX997]": 50297,
+  "[XXXXX998]": 50928,
+  "[XXXXX999]": 50697,
+  "[XXXXX99]": 50980,
+  "[XXXXX9]": 50961
+}
diff --git a/checkpoint-1000/config.json b/checkpoint-1000/config.json
new file mode 100644
index 0000000..000c292
--- /dev/null
+++ b/checkpoint-1000/config.json
@@ -0,0 +1,34 @@
+{
+  "activation_function": "gelu",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50000,
+  "dtype": "bfloat16",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50001,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 512,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": 3072,
+  "n_layer": 12,
+  "n_positions": 512,
+  "pad_token_id": 50002,
+  "prefix": "[CLS]",
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "vocab_size": 51200
+}
diff --git a/checkpoint-1000/generation_config.json b/checkpoint-1000/generation_config.json
new file mode 100644
index 0000000..4c122f0
--- /dev/null
+++ b/checkpoint-1000/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50000,
+  "eos_token_id": [
+    50001
+  ],
+  "pad_token_id": 50002,
+  "transformers_version": "4.56.2"
+}
diff --git a/checkpoint-1000/model.safetensors b/checkpoint-1000/model.safetensors
new file mode 100644
index 0000000..443f413
--- /dev/null
+++ b/checkpoint-1000/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ab000596caf5df41687b67c260002317f7250d9a401feebab68a4284b6dc7e32
+size 249556672
diff --git a/checkpoint-1000/rng_state.pth b/checkpoint-1000/rng_state.pth
new file mode 100644
index 0000000..dce21e7
--- /dev/null
+++ b/checkpoint-1000/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:43cc68af998113150574a234621f778b628399c3470208303bc8e54466d2aaaa
+size 14645
diff --git a/checkpoint-1000/special_tokens_map.json b/checkpoint-1000/special_tokens_map.json
new file mode 100644
index 0000000..c78a835
--- /dev/null
+++ b/checkpoint-1000/special_tokens_map.json
@@ -0,0 +1,1249 @@
+{
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/checkpoint-1000/spiece.model b/checkpoint-1000/spiece.model
new file mode 100644
index 0000000..85d6e93
--- /dev/null
+++ b/checkpoint-1000/spiece.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:762a1e078899c6ba7ef62ef873a57b860c51cc0518791854659b58b4c89742fe
+size 1170764
diff --git a/checkpoint-1000/tokenizer_config.json b/checkpoint-1000/tokenizer_config.json
new file mode 100644
index 0000000..b27d01f
--- /dev/null
+++ b/checkpoint-1000/tokenizer_config.json
@@ -0,0 +1,10825 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50000": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50001": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50002": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50003": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50004": {
+      "content": "[XXXXX160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50005": {
+      "content": "[XXXXX240]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50006": {
+      "content": "[XXXXX717]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50007": {
+      "content": "[XXXXX23]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50008": {
+      "content": "[XXXXX161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50009": {
+      "content": "[XXXXX1156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50010": {
+      "content": "[XXXXX5]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50011": {
+      "content": "[XXXXX597]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50012": {
+      "content": "[XXXXX415]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50013": {
+      "content": "[XXXXX693]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50014": {
+      "content": "[XXXXX1083]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50015": {
+      "content": "[XXXXX784]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50016": {
+      "content": "[XXXXX686]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50017": {
+      "content": "[XXXXX379]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50018": {
+      "content": "[XXXXX335]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50019": {
+      "content": "[XXXXX73]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50020": {
+      "content": "[XXXXX758]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50021": {
+      "content": "[XXXXX805]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50022": {
+      "content": "[XXXXX840]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50023": {
+      "content": "[XXXXX1037]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50024": {
+      "content": "[XXXXX235]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50025": {
+      "content": "[XXXXX1107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50026": {
+      "content": "[XXXXX776]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50027": {
+      "content": "[XXXXX286]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50028": {
+      "content": "[XXXXX396]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50029": {
+      "content": "[XXXXX478]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50030": {
+      "content": "[XXXXX669]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50031": {
+      "content": "[XXXXX691]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50032": {
+      "content": "[XXXXX826]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50033": {
+      "content": "[XXXXX1150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50034": {
+      "content": "[XXXXX853]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50035": {
+      "content": "[XXXXX130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50036": {
+      "content": "[XXXXX989]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50037": {
+      "content": "[XXXXX249]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50038": {
+      "content": "[XXXXX902]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50039": {
+      "content": "[XXXXX1169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50040": {
+      "content": "[XXXXX260]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50041": {
+      "content": "[XXXXX706]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50042": {
+      "content": "[XXXXX146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50043": {
+      "content": "[XXXXX198]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50044": {
+      "content": "[XXXXX303]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50045": {
+      "content": "[XXXXX1192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50046": {
+      "content": "[XXXXX635]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50047": {
+      "content": "[XXXXX271]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50048": {
+      "content": "[XXXXX1023]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50049": {
+      "content": "[XXXXX602]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50050": {
+      "content": "[XXXXX291]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50051": {
+      "content": "[XXXXX190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50052": {
+      "content": "[XXXXX1055]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50053": {
+      "content": "[XXXXX70]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50054": {
+      "content": "[XXXXX178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50055": {
+      "content": "[XXXXX318]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50056": {
+      "content": "[XXXXX62]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50057": {
+      "content": "[XXXXX473]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50058": {
+      "content": "[XXXXX517]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50059": {
+      "content": "[XXXXX924]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50060": {
+      "content": "[XXXXX970]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50061": {
+      "content": "[XXXXX1033]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50062": {
+      "content": "[XXXXX110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50063": {
+      "content": "[XXXXX1151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50064": {
+      "content": "[XXXXX1189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50065": {
+      "content": "[XXXXX1095]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50066": {
+      "content": "[XXXXX148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50067": {
+      "content": "[XXXXX337]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50068": {
+      "content": "[XXXXX245]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50069": {
+      "content": "[XXXXX407]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50070": {
+      "content": "[XXXXX557]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50071": {
+      "content": "[XXXXX576]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50072": {
+      "content": "[XXXXX914]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50073": {
+      "content": "[XXXXX963]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50074": {
+      "content": "[XXXXX951]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50075": {
+      "content": "[XXXXX721]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50076": {
+      "content": "[XXXXX1174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50077": {
+      "content": "[XXXXX3]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50078": {
+      "content": "[XXXXX792]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50079": {
+      "content": "[XXXXX843]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50080": {
+      "content": "[XXXXX590]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50081": {
+      "content": "[XXXXX118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50082": {
+      "content": "[XXXXX280]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50083": {
+      "content": "[XXXXX1119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50084": {
+      "content": "[XXXXX1025]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50085": {
+      "content": "[XXXXX140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50086": {
+      "content": "[XXXXX873]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50087": {
+      "content": "[XXXXX103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50088": {
+      "content": "[XXXXX307]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50089": {
+      "content": "[XXXXX946]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50090": {
+      "content": "[XXXXX782]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50091": {
+      "content": "[XXXXX100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50092": {
+      "content": "[XXXXX485]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50093": {
+      "content": "[XXXXX151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50094": {
+      "content": "[XXXXX213]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50095": {
+      "content": "[XXXXX847]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50096": {
+      "content": "[XXXXX880]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50097": {
+      "content": "[XXXXX44]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50098": {
+      "content": "[XXXXX1031]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50099": {
+      "content": "[XXXXX545]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50100": {
+      "content": "[XXXXX78]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50101": {
+      "content": "[XXXXX687]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50102": {
+      "content": "[XXXXX925]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50103": {
+      "content": "[XXXXX519]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50104": {
+      "content": "[XXXXX1191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50105": {
+      "content": "[XXXXX13]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50106": {
+      "content": "[XXXXX487]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50107": {
+      "content": "[XXXXX932]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50108": {
+      "content": "[XXXXX119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50109": {
+      "content": "[XXXXX170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50110": {
+      "content": "[XXXXX254]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50111": {
+      "content": "[XXXXX420]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50112": {
+      "content": "[XXXXX962]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50113": {
+      "content": "[XXXXX441]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50114": {
+      "content": "[XXXXX950]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50115": {
+      "content": "[XXXXX18]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50116": {
+      "content": "[XXXXX676]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50117": {
+      "content": "[XXXXX1133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50118": {
+      "content": "[XXXXX618]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50119": {
+      "content": "[XXXXX374]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50120": {
+      "content": "[XXXXX815]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50121": {
+      "content": "[XXXXX1058]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50122": {
+      "content": "[XXXXX1108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50123": {
+      "content": "[XXXXX1144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50124": {
+      "content": "[XXXXX791]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50125": {
+      "content": "[XXXXX259]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50126": {
+      "content": "[XXXXX1074]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50127": {
+      "content": "[XXXXX696]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50128": {
+      "content": "[XXXXX1168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50129": {
+      "content": "[XXXXX592]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50130": {
+      "content": "[XXXXX127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50131": {
+      "content": "[XXXXX136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50132": {
+      "content": "[XXXXX237]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50133": {
+      "content": "[XXXXX705]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50134": {
+      "content": "[XXXXX983]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50135": {
+      "content": "[XXXXX816]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50136": {
+      "content": "[XXXXX412]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50137": {
+      "content": "[XXXXX410]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50138": {
+      "content": "[XXXXX795]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50139": {
+      "content": "[XXXXX101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50140": {
+      "content": "[XXXXX171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50141": {
+      "content": "[XXXXX628]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50142": {
+      "content": "[XXXXX1038]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50143": {
+      "content": "[XXXXX447]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50144": {
+      "content": "[XXXXX1043]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50145": {
+      "content": "[XXXXX147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50146": {
+      "content": "[XXXXX1112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50147": {
+      "content": "[XXXXX186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50148": {
+      "content": "[XXXXX461]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50149": {
+      "content": "[XXXXX423]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50150": {
+      "content": "[XXXXX26]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50151": {
+      "content": "[XXXXX227]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50152": {
+      "content": "[XXXXX746]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50153": {
+      "content": "[XXXXX818]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50154": {
+      "content": "[XXXXX725]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50155": {
+      "content": "[XXXXX400]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50156": {
+      "content": "[XXXXX827]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50157": {
+      "content": "[XXXXX1020]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50158": {
+      "content": "[XXXXX1060]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50159": {
+      "content": "[XXXXX195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50160": {
+      "content": "[XXXXX526]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50161": {
+      "content": "[XXXXX570]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50162": {
+      "content": "[XXXXX174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50163": {
+      "content": "[XXXXX333]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50164": {
+      "content": "[XXXXX466]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50165": {
+      "content": "[XXXXX513]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50166": {
+      "content": "[XXXXX695]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50167": {
+      "content": "[XXXXX84]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50168": {
+      "content": "[XXXXX1080]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50169": {
+      "content": "[XXXXX76]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50170": {
+      "content": "[XXXXX742]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50171": {
+      "content": "[XXXXX1008]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50172": {
+      "content": "[XXXXX1123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50173": {
+      "content": "[XXXXX1145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50174": {
+      "content": "[XXXXX701]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50175": {
+      "content": "[XXXXX562]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50176": {
+      "content": "[XXXXX615]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50177": {
+      "content": "[XXXXX389]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50178": {
+      "content": "[XXXXX267]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50179": {
+      "content": "[XXXXX323]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50180": {
+      "content": "[XXXXX346]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50181": {
+      "content": "[XXXXX287]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50182": {
+      "content": "[XXXXX469]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50183": {
+      "content": "[XXXXX58]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50184": {
+      "content": "[XXXXX431]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50185": {
+      "content": "[XXXXX926]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50186": {
+      "content": "[XXXXX1182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50187": {
+      "content": "[XXXXX992]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50188": {
+      "content": "[XXXXX185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50189": {
+      "content": "[XXXXX352]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50190": {
+      "content": "[XXXXX762]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50191": {
+      "content": "[XXXXX991]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50192": {
+      "content": "[XXXXX85]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50193": {
+      "content": "[XXXXX836]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50194": {
+      "content": "[XXXXX460]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50195": {
+      "content": "[XXXXX272]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50196": {
+      "content": "[XXXXX619]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50197": {
+      "content": "[XXXXX759]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50198": {
+      "content": "[XXXXX94]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50199": {
+      "content": "[XXXXX807]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50200": {
+      "content": "[XXXXX299]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50201": {
+      "content": "[XXXXX187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50202": {
+      "content": "[XXXXX486]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50203": {
+      "content": "[XXXXX45]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50204": {
+      "content": "[XXXXX1036]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50205": {
+      "content": "[XXXXX354]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50206": {
+      "content": "[XXXXX386]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50207": {
+      "content": "[XXXXX714]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50208": {
+      "content": "[XXXXX769]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50209": {
+      "content": "[XXXXX304]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50210": {
+      "content": "[XXXXX92]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50211": {
+      "content": "[XXXXX7]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50212": {
+      "content": "[XXXXX31]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50213": {
+      "content": "[XXXXX102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50214": {
+      "content": "[XXXXX163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50215": {
+      "content": "[XXXXX723]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50216": {
+      "content": "[XXXXX1042]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50217": {
+      "content": "[XXXXX452]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50218": {
+      "content": "[XXXXX622]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50219": {
+      "content": "[XXXXX1056]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50220": {
+      "content": "[XXXXX822]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50221": {
+      "content": "[XXXXX125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50222": {
+      "content": "[XXXXX617]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50223": {
+      "content": "[XXXXX34]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50224": {
+      "content": "[XXXXX712]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50225": {
+      "content": "[XXXXX780]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50226": {
+      "content": "[XXXXX547]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50227": {
+      "content": "[XXXXX857]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50228": {
+      "content": "[XXXXX860]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50229": {
+      "content": "[XXXXX897]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50230": {
+      "content": "[XXXXX663]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50231": {
+      "content": "[XXXXX736]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50232": {
+      "content": "[XXXXX202]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50233": {
+      "content": "[XXXXX1029]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50234": {
+      "content": "[XXXXX956]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50235": {
+      "content": "[XXXXX397]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50236": {
+      "content": "[XXXXX239]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50237": {
+      "content": "[XXXXX472]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50238": {
+      "content": "[XXXXX230]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50239": {
+      "content": "[XXXXX796]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50240": {
+      "content": "[XXXXX639]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50241": {
+      "content": "[XXXXX203]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50242": {
+      "content": "[XXXXX231]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50243": {
+      "content": "[XXXXX652]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50244": {
+      "content": "[XXXXX981]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50245": {
+      "content": "[XXXXX911]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50246": {
+      "content": "[XXXXX380]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50247": {
+      "content": "[XXXXX477]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50248": {
+      "content": "[XXXXX952]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50249": {
+      "content": "[XXXXX28]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50250": {
+      "content": "[XXXXX801]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50251": {
+      "content": "[XXXXX1134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50252": {
+      "content": "[XXXXX1176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50253": {
+      "content": "[XXXXX180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50254": {
+      "content": "[XXXXX598]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50255": {
+      "content": "[XXXXX365]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50256": {
+      "content": "[XXXXX729]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50257": {
+      "content": "[XXXXX214]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50258": {
+      "content": "[XXXXX1117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50259": {
+      "content": "[XXXXX278]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50260": {
+      "content": "[XXXXX522]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50261": {
+      "content": "[XXXXX683]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50262": {
+      "content": "[XXXXX731]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50263": {
+      "content": "[XXXXX312]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "[XXXXX1178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50265": {
+      "content": "[XXXXX666]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50266": {
+      "content": "[XXXXX982]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50267": {
+      "content": "[XXXXX414]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50268": {
+      "content": "[XXXXX935]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50269": {
+      "content": "[XXXXX1089]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50270": {
+      "content": "[XXXXX236]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50271": {
+      "content": "[XXXXX463]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50272": {
+      "content": "[XXXXX52]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50273": {
+      "content": "[XXXXX593]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50274": {
+      "content": "[XXXXX508]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50275": {
+      "content": "[XXXXX1125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50276": {
+      "content": "[XXXXX462]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50277": {
+      "content": "[XXXXX32]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50278": {
+      "content": "[XXXXX596]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50279": {
+      "content": "[XXXXX948]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50280": {
+      "content": "[XXXXX150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50281": {
+      "content": "[XXXXX322]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50282": {
+      "content": "[XXXXX390]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50283": {
+      "content": "[XXXXX918]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50284": {
+      "content": "[XXXXX157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50285": {
+      "content": "[XXXXX310]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50286": {
+      "content": "[XXXXX392]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50287": {
+      "content": "[XXXXX649]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50288": {
+      "content": "[XXXXX158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50289": {
+      "content": "[XXXXX430]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50290": {
+      "content": "[XXXXX384]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50291": {
+      "content": "[XXXXX760]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50292": {
+      "content": "[XXXXX700]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50293": {
+      "content": "[XXXXX817]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50294": {
+      "content": "[XXXXX115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50295": {
+      "content": "[XXXXX885]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50296": {
+      "content": "[XXXXX940]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50297": {
+      "content": "[XXXXX997]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50298": {
+      "content": "[XXXXX61]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50299": {
+      "content": "[XXXXX209]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50300": {
+      "content": "[XXXXX316]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50301": {
+      "content": "[XXXXX537]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50302": {
+      "content": "[XXXXX599]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50303": {
+      "content": "[XXXXX680]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50304": {
+      "content": "[XXXXX135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50305": {
+      "content": "[XXXXX39]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50306": {
+      "content": "[XXXXX685]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50307": {
+      "content": "[XXXXX806]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50308": {
+      "content": "[XXXXX870]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50309": {
+      "content": "[XXXXX1096]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50310": {
+      "content": "[XXXXX366]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50311": {
+      "content": "[XXXXX509]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50312": {
+      "content": "[XXXXX943]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50313": {
+      "content": "[XXXXX292]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50314": {
+      "content": "[XXXXX367]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50315": {
+      "content": "[XXXXX632]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50316": {
+      "content": "[XXXXX1136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50317": {
+      "content": "[XXXXX156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50318": {
+      "content": "[XXXXX1100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50319": {
+      "content": "[XXXXX432]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50320": {
+      "content": "[XXXXX514]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50321": {
+      "content": "[XXXXX903]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50322": {
+      "content": "[XXXXX939]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50323": {
+      "content": "[XXXXX986]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50324": {
+      "content": "[XXXXX506]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50325": {
+      "content": "[XXXXX10]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50326": {
+      "content": "[XXXXX573]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50327": {
+      "content": "[XXXXX968]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50328": {
+      "content": "[XXXXX1039]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50329": {
+      "content": "[XXXXX252]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50330": {
+      "content": "[XXXXX612]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50331": {
+      "content": "[XXXXX947]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50332": {
+      "content": "[XXXXX1162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50333": {
+      "content": "[XXXXX733]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50334": {
+      "content": "[XXXXX976]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50335": {
+      "content": "[XXXXX535]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50336": {
+      "content": "[XXXXX710]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50337": {
+      "content": "[XXXXX40]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50338": {
+      "content": "[XXXXX984]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50339": {
+      "content": "[XXXXX584]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50340": {
+      "content": "[XXXXX132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50341": {
+      "content": "[XXXXX1084]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50342": {
+      "content": "[XXXXX549]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50343": {
+      "content": "[XXXXX810]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50344": {
+      "content": "[XXXXX208]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50345": {
+      "content": "[XXXXX609]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50346": {
+      "content": "[XXXXX275]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50347": {
+      "content": "[XXXXX262]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50348": {
+      "content": "[XXXXX331]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50349": {
+      "content": "[XXXXX361]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50350": {
+      "content": "[XXXXX561]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50351": {
+      "content": "[XXXXX143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50352": {
+      "content": "[XXXXX1061]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50353": {
+      "content": "[XXXXX59]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50354": {
+      "content": "[XXXXX21]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50355": {
+      "content": "[XXXXX995]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50356": {
+      "content": "[XXXXX439]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50357": {
+      "content": "[XXXXX831]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50358": {
+      "content": "[XXXXX745]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50359": {
+      "content": "[XXXXX43]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50360": {
+      "content": "[XXXXX498]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50361": {
+      "content": "[XXXXX575]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50362": {
+      "content": "[XXXXX624]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50363": {
+      "content": "[XXXXX72]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50364": {
+      "content": "[XXXXX921]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50365": {
+      "content": "[XXXXX201]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50366": {
+      "content": "[XXXXX1171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50367": {
+      "content": "[XXXXX912]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50368": {
+      "content": "[XXXXX775]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50369": {
+      "content": "[XXXXX1094]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50370": {
+      "content": "[XXXXX80]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50371": {
+      "content": "[XXXXX894]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50372": {
+      "content": "[XXXXX876]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50373": {
+      "content": "[XXXXX1143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50374": {
+      "content": "[XXXXX355]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50375": {
+      "content": "[XXXXX450]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50376": {
+      "content": "[XXXXX642]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50377": {
+      "content": "[XXXXX162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50378": {
+      "content": "[XXXXX394]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50379": {
+      "content": "[XXXXX296]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50380": {
+      "content": "[XXXXX536]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50381": {
+      "content": "[XXXXX560]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50382": {
+      "content": "[XXXXX373]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50383": {
+      "content": "[XXXXX674]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50384": {
+      "content": "[XXXXX1099]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50385": {
+      "content": "[XXXXX797]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50386": {
+      "content": "[XXXXX516]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50387": {
+      "content": "[XXXXX41]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50388": {
+      "content": "[XXXXX594]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50389": {
+      "content": "[XXXXX319]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50390": {
+      "content": "[XXXXX165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50391": {
+      "content": "[XXXXX344]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50392": {
+      "content": "[XXXXX1012]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50393": {
+      "content": "[XXXXX942]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50394": {
+      "content": "[XXXXX1071]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50395": {
+      "content": "[XXXXX648]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50396": {
+      "content": "[XXXXX4]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50397": {
+      "content": "[XXXXX633]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50398": {
+      "content": "[XXXXX551]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50399": {
+      "content": "[XXXXX586]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50400": {
+      "content": "[XXXXX578]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50401": {
+      "content": "[XXXXX348]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50402": {
+      "content": "[XXXXX614]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50403": {
+      "content": "[XXXXX33]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50404": {
+      "content": "[XXXXX1193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50405": {
+      "content": "[XXXXX737]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50406": {
+      "content": "[XXXXX233]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50407": {
+      "content": "[XXXXX933]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50408": {
+      "content": "[XXXXX781]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50409": {
+      "content": "[XXXXX189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50410": {
+      "content": "[XXXXX1006]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50411": {
+      "content": "[XXXXX219]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50412": {
+      "content": "[XXXXX454]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50413": {
+      "content": "[XXXXX449]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50414": {
+      "content": "[XXXXX697]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50415": {
+      "content": "[XXXXX724]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50416": {
+      "content": "[XXXXX224]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50417": {
+      "content": "[XXXXX1157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50418": {
+      "content": "[XXXXX455]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50419": {
+      "content": "[XXXXX505]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50420": {
+      "content": "[XXXXX96]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50421": {
+      "content": "[XXXXX182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50422": {
+      "content": "[XXXXX424]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50423": {
+      "content": "[XXXXX872]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50424": {
+      "content": "[XXXXX1163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50425": {
+      "content": "[XXXXX1081]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50426": {
+      "content": "[XXXXX1173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50427": {
+      "content": "[XXXXX172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50428": {
+      "content": "[XXXXX507]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50429": {
+      "content": "[XXXXX920]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50430": {
+      "content": "[XXXXX1126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50431": {
+      "content": "[XXXXX474]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50432": {
+      "content": "[XXXXX971]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50433": {
+      "content": "[XXXXX1049]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50434": {
+      "content": "[XXXXX1114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50435": {
+      "content": "[XXXXX1040]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50436": {
+      "content": "[XXXXX79]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50437": {
+      "content": "[XXXXX36]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50438": {
+      "content": "[XXXXX977]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50439": {
+      "content": "[XXXXX1129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50440": {
+      "content": "[XXXXX1063]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50441": {
+      "content": "[XXXXX773]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50442": {
+      "content": "[XXXXX16]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50443": {
+      "content": "[XXXXX113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50444": {
+      "content": "[XXXXX320]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50445": {
+      "content": "[XXXXX167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50446": {
+      "content": "[XXXXX751]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50447": {
+      "content": "[XXXXX656]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50448": {
+      "content": "[XXXXX543]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50449": {
+      "content": "[XXXXX828]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50450": {
+      "content": "[XXXXX915]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50451": {
+      "content": "[XXXXX1098]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50452": {
+      "content": "[XXXXX569]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50453": {
+      "content": "[XXXXX1166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50454": {
+      "content": "[XXXXX846]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50455": {
+      "content": "[XXXXX324]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50456": {
+      "content": "[XXXXX802]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50457": {
+      "content": "[XXXXX588]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50458": {
+      "content": "[XXXXX739]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50459": {
+      "content": "[XXXXX50]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50460": {
+      "content": "[XXXXX882]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50461": {
+      "content": "[XXXXX1054]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50462": {
+      "content": "[XXXXX621]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50463": {
+      "content": "[XXXXX585]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50464": {
+      "content": "[XXXXX121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50465": {
+      "content": "[XXXXX647]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50466": {
+      "content": "[XXXXX767]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50467": {
+      "content": "[XXXXX645]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50468": {
+      "content": "[XXXXX27]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50469": {
+      "content": "[XXXXX907]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50470": {
+      "content": "[XXXXX1109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50471": {
+      "content": "[XXXXX1147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50472": {
+      "content": "[XXXXX501]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50473": {
+      "content": "[XXXXX1164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50474": {
+      "content": "[XXXXX650]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50475": {
+      "content": "[XXXXX329]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50476": {
+      "content": "[XXXXX659]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50477": {
+      "content": "[XXXXX1158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50478": {
+      "content": "[XXXXX104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50479": {
+      "content": "[XXXXX629]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50480": {
+      "content": "[XXXXX868]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50481": {
+      "content": "[XXXXX779]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50482": {
+      "content": "[XXXXX17]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50483": {
+      "content": "[XXXXX377]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50484": {
+      "content": "[XXXXX467]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50485": {
+      "content": "[XXXXX917]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50486": {
+      "content": "[XXXXX830]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50487": {
+      "content": "[XXXXX533]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50488": {
+      "content": "[XXXXX862]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50489": {
+      "content": "[XXXXX1041]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50490": {
+      "content": "[XXXXX542]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50491": {
+      "content": "[XXXXX595]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50492": {
+      "content": "[XXXXX353]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50493": {
+      "content": "[XXXXX181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50494": {
+      "content": "[XXXXX662]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50495": {
+      "content": "[XXXXX1195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50496": {
+      "content": "[XXXXX435]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50497": {
+      "content": "[XXXXX1051]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50498": {
+      "content": "[XXXXX703]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50499": {
+      "content": "[XXXXX1140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50500": {
+      "content": "[XXXXX750]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50501": {
+      "content": "[XXXXX57]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50502": {
+      "content": "[XXXXX75]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50503": {
+      "content": "[XXXXX293]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50504": {
+      "content": "[XXXXX681]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50505": {
+      "content": "[XXXXX46]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50506": {
+      "content": "[XXXXX30]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50507": {
+      "content": "[XXXXX402]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50508": {
+      "content": "[XXXXX803]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50509": {
+      "content": "[XXXXX821]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50510": {
+      "content": "[XXXXX871]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50511": {
+      "content": "[XXXXX980]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50512": {
+      "content": "[XXXXX990]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50513": {
+      "content": "[XXXXX626]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50514": {
+      "content": "[XXXXX90]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50515": {
+      "content": "[XXXXX77]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50516": {
+      "content": "[XXXXX819]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50517": {
+      "content": "[XXXXX436]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50518": {
+      "content": "[XXXXX306]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50519": {
+      "content": "[XXXXX434]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50520": {
+      "content": "[XXXXX88]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50521": {
+      "content": "[XXXXX184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50522": {
+      "content": "[XXXXX290]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50523": {
+      "content": "[XXXXX216]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50524": {
+      "content": "[XXXXX176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50525": {
+      "content": "[XXXXX747]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50526": {
+      "content": "[XXXXX938]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50527": {
+      "content": "[XXXXX442]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50528": {
+      "content": "[XXXXX301]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50529": {
+      "content": "[XXXXX1015]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50530": {
+      "content": "[XXXXX520]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50531": {
+      "content": "[XXXXX829]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50532": {
+      "content": "[XXXXX106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50533": {
+      "content": "[XXXXX1048]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50534": {
+      "content": "[XXXXX923]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50535": {
+      "content": "[XXXXX958]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50536": {
+      "content": "[XXXXX1130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50537": {
+      "content": "[XXXXX89]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50538": {
+      "content": "[XXXXX548]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50539": {
+      "content": "[XXXXX863]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50540": {
+      "content": "[XXXXX444]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50541": {
+      "content": "[XXXXX1149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50542": {
+      "content": "[XXXXX866]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50543": {
+      "content": "[XXXXX109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50544": {
+      "content": "[XXXXX550]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50545": {
+      "content": "[XXXXX727]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50546": {
+      "content": "[XXXXX646]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50547": {
+      "content": "[XXXXX702]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50548": {
+      "content": "[XXXXX204]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50549": {
+      "content": "[XXXXX1000]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50550": {
+      "content": "[XXXXX591]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50551": {
+      "content": "[XXXXX1128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50552": {
+      "content": "[XXXXX937]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50553": {
+      "content": "[XXXXX141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50554": {
+      "content": "[XXXXX273]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50555": {
+      "content": "[XXXXX1183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50556": {
+      "content": "[XXXXX765]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50557": {
+      "content": "[XXXXX371]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50558": {
+      "content": "[XXXXX256]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50559": {
+      "content": "[XXXXX964]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50560": {
+      "content": "[XXXXX1148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50561": {
+      "content": "[XXXXX930]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50562": {
+      "content": "[XXXXX212]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50563": {
+      "content": "[XXXXX133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50564": {
+      "content": "[XXXXX608]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50565": {
+      "content": "[XXXXX281]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50566": {
+      "content": "[XXXXX1045]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50567": {
+      "content": "[XXXXX928]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50568": {
+      "content": "[XXXXX1154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50569": {
+      "content": "[XXXXX334]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50570": {
+      "content": "[XXXXX861]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50571": {
+      "content": "[XXXXX87]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50572": {
+      "content": "[XXXXX941]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50573": {
+      "content": "[XXXXX359]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50574": {
+      "content": "[XXXXX55]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50575": {
+      "content": "[XXXXX842]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50576": {
+      "content": "[XXXXX427]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50577": {
+      "content": "[XXXXX491]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50578": {
+      "content": "[XXXXX137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50579": {
+      "content": "[XXXXX47]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50580": {
+      "content": "[XXXXX511]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50581": {
+      "content": "[XXXXX81]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50582": {
+      "content": "[XXXXX139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50583": {
+      "content": "[XXXXX226]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50584": {
+      "content": "[XXXXX563]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50585": {
+      "content": "[XXXXX708]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50586": {
+      "content": "[XXXXX820]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50587": {
+      "content": "[XXXXX65]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50588": {
+      "content": "[XXXXX381]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50589": {
+      "content": "[XXXXX22]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50590": {
+      "content": "[XXXXX1064]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50591": {
+      "content": "[XXXXX874]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50592": {
+      "content": "[XXXXX944]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50593": {
+      "content": "[XXXXX6]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50594": {
+      "content": "[XXXXX313]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50595": {
+      "content": "[XXXXX471]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50596": {
+      "content": "[XXXXX1118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50597": {
+      "content": "[XXXXX849]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50598": {
+      "content": "[XXXXX483]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50599": {
+      "content": "[XXXXX713]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50600": {
+      "content": "[XXXXX222]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50601": {
+      "content": "[XXXXX640]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50602": {
+      "content": "[XXXXX12]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50603": {
+      "content": "[XXXXX285]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50604": {
+      "content": "[XXXXX327]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50605": {
+      "content": "[XXXXX378]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50606": {
+      "content": "[XXXXX790]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50607": {
+      "content": "[XXXXX1179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50608": {
+      "content": "[XXXXX15]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50609": {
+      "content": "[XXXXX229]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50610": {
+      "content": "[XXXXX771]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50611": {
+      "content": "[XXXXX559]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50612": {
+      "content": "[XXXXX253]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50613": {
+      "content": "[XXXXX644]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50614": {
+      "content": "[XXXXX811]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50615": {
+      "content": "[XXXXX554]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50616": {
+      "content": "[XXXXX744]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50617": {
+      "content": "[XXXXX786]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50618": {
+      "content": "[XXXXX913]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50619": {
+      "content": "[XXXXX966]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50620": {
+      "content": "[XXXXX972]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50621": {
+      "content": "[XXXXX664]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50622": {
+      "content": "[XXXXX1131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50623": {
+      "content": "[XXXXX1132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50624": {
+      "content": "[XXXXX376]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50625": {
+      "content": "[XXXXX672]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50626": {
+      "content": "[XXXXX1013]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50627": {
+      "content": "[XXXXX328]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50628": {
+      "content": "[XXXXX889]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50629": {
+      "content": "[XXXXX1141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50630": {
+      "content": "[XXXXX429]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50631": {
+      "content": "[XXXXX114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50632": {
+      "content": "[XXXXX523]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50633": {
+      "content": "[XXXXX833]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50634": {
+      "content": "[XXXXX927]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50635": {
+      "content": "[XXXXX297]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50636": {
+      "content": "[XXXXX812]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50637": {
+      "content": "[XXXXX1062]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50638": {
+      "content": "[XXXXX152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50639": {
+      "content": "[XXXXX1010]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50640": {
+      "content": "[XXXXX690]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50641": {
+      "content": "[XXXXX363]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50642": {
+      "content": "[XXXXX1103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50643": {
+      "content": "[XXXXX194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50644": {
+      "content": "[XXXXX844]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50645": {
+      "content": "[XXXXX667]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50646": {
+      "content": "[XXXXX720]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50647": {
+      "content": "[XXXXX770]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50648": {
+      "content": "[XXXXX515]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50649": {
+      "content": "[XXXXX196]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50650": {
+      "content": "[XXXXX283]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50651": {
+      "content": "[XXXXX95]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50652": {
+      "content": "[XXXXX528]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50653": {
+      "content": "[XXXXX749]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50654": {
+      "content": "[XXXXX934]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50655": {
+      "content": "[XXXXX1052]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50656": {
+      "content": "[XXXXX1188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50657": {
+      "content": "[XXXXX1001]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50658": {
+      "content": "[XXXXX785]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50659": {
+      "content": "[XXXXX393]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50660": {
+      "content": "[XXXXX502]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50661": {
+      "content": "[XXXXX404]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50662": {
+      "content": "[XXXXX129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50663": {
+      "content": "[XXXXX643]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50664": {
+      "content": "[XXXXX1086]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50665": {
+      "content": "[XXXXX1104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50666": {
+      "content": "[XXXXX326]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50667": {
+      "content": "[XXXXX330]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50668": {
+      "content": "[XXXXX620]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50669": {
+      "content": "[XXXXX193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50670": {
+      "content": "[XXXXX470]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50671": {
+      "content": "[XXXXX279]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50672": {
+      "content": "[XXXXX97]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50673": {
+      "content": "[XXXXX177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50674": {
+      "content": "[XXXXX510]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50675": {
+      "content": "[XXXXX225]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50676": {
+      "content": "[XXXXX572]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50677": {
+      "content": "[XXXXX777]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50678": {
+      "content": "[XXXXX1135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50679": {
+      "content": "[XXXXX1160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50680": {
+      "content": "[XXXXX558]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50681": {
+      "content": "[XXXXX416]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50682": {
+      "content": "[XXXXX246]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50683": {
+      "content": "[XXXXX799]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50684": {
+      "content": "[XXXXX153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50685": {
+      "content": "[XXXXX671]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50686": {
+      "content": "[XXXXX809]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50687": {
+      "content": "[XXXXX525]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50688": {
+      "content": "[XXXXX1004]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50689": {
+      "content": "[XXXXX1005]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50690": {
+      "content": "[XXXXX1194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50691": {
+      "content": "[XXXXX408]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50692": {
+      "content": "[XXXXX492]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50693": {
+      "content": "[XXXXX973]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50694": {
+      "content": "[XXXXX242]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50695": {
+      "content": "[XXXXX357]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50696": {
+      "content": "[XXXXX851]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50697": {
+      "content": "[XXXXX999]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50698": {
+      "content": "[XXXXX969]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50699": {
+      "content": "[XXXXX453]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50700": {
+      "content": "[XXXXX730]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50701": {
+      "content": "[XXXXX54]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50702": {
+      "content": "[XXXXX480]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50703": {
+      "content": "[XXXXX564]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50704": {
+      "content": "[XXXXX600]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50705": {
+      "content": "[XXXXX654]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50706": {
+      "content": "[XXXXX37]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50707": {
+      "content": "[XXXXX605]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50708": {
+      "content": "[XXXXX164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50709": {
+      "content": "[XXXXX395]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50710": {
+      "content": "[XXXXX401]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50711": {
+      "content": "[XXXXX446]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50712": {
+      "content": "[XXXXX658]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50713": {
+      "content": "[XXXXX60]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50714": {
+      "content": "[XXXXX107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50715": {
+      "content": "[XXXXX131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50716": {
+      "content": "[XXXXX387]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50717": {
+      "content": "[XXXXX67]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50718": {
+      "content": "[XXXXX743]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50719": {
+      "content": "[XXXXX657]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50720": {
+      "content": "[XXXXX418]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50721": {
+      "content": "[XXXXX787]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50722": {
+      "content": "[XXXXX838]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50723": {
+      "content": "[XXXXX298]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50724": {
+      "content": "[XXXXX1007]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50725": {
+      "content": "[XXXXX1027]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50726": {
+      "content": "[XXXXX1078]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50727": {
+      "content": "[XXXXX651]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50728": {
+      "content": "[XXXXX875]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50729": {
+      "content": "[XXXXX258]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50730": {
+      "content": "[XXXXX413]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50731": {
+      "content": "[XXXXX1092]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50732": {
+      "content": "[XXXXX124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50733": {
+      "content": "[XXXXX308]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50734": {
+      "content": "[XXXXX1085]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50735": {
+      "content": "[XXXXX1170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50736": {
+      "content": "[XXXXX38]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50737": {
+      "content": "[XXXXX438]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50738": {
+      "content": "[XXXXX475]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50739": {
+      "content": "[XXXXX900]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50740": {
+      "content": "[XXXXX263]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50741": {
+      "content": "[XXXXX166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50742": {
+      "content": "[XXXXX698]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50743": {
+      "content": "[XXXXX1127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50744": {
+      "content": "[XXXXX1181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50745": {
+      "content": "[XXXXX763]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50746": {
+      "content": "[XXXXX627]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50747": {
+      "content": "[XXXXX250]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50748": {
+      "content": "[XXXXX757]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50749": {
+      "content": "[XXXXX142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50750": {
+      "content": "[XXXXX794]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50751": {
+      "content": "[XXXXX128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50752": {
+      "content": "[XXXXX35]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50753": {
+      "content": "[XXXXX482]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50754": {
+      "content": "[XXXXX834]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50755": {
+      "content": "[XXXXX679]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50756": {
+      "content": "[XXXXX839]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50757": {
+      "content": "[XXXXX138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50758": {
+      "content": "[XXXXX1066]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50759": {
+      "content": "[XXXXX116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50760": {
+      "content": "[XXXXX317]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50761": {
+      "content": "[XXXXX490]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50762": {
+      "content": "[XXXXX443]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50763": {
+      "content": "[XXXXX879]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50764": {
+      "content": "[XXXXX1101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50765": {
+      "content": "[XXXXX711]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50766": {
+      "content": "[XXXXX123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50767": {
+      "content": "[XXXXX1152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50768": {
+      "content": "[XXXXX692]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50769": {
+      "content": "[XXXXX555]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50770": {
+      "content": "[XXXXX266]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50771": {
+      "content": "[XXXXX0]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50772": {
+      "content": "[XXXXX332]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50773": {
+      "content": "[XXXXX497]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50774": {
+      "content": "[XXXXX904]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50775": {
+      "content": "[XXXXX1019]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50776": {
+      "content": "[XXXXX709]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50777": {
+      "content": "[XXXXX351]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50778": {
+      "content": "[XXXXX764]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50779": {
+      "content": "[XXXXX625]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50780": {
+      "content": "[XXXXX798]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50781": {
+      "content": "[XXXXX205]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50782": {
+      "content": "[XXXXX922]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50783": {
+      "content": "[XXXXX1075]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50784": {
+      "content": "[XXXXX8]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50785": {
+      "content": "[XXXXX422]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50786": {
+      "content": "[XXXXX638]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50787": {
+      "content": "[XXXXX98]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50788": {
+      "content": "[XXXXX814]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50789": {
+      "content": "[XXXXX1057]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50790": {
+      "content": "[XXXXX1070]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50791": {
+      "content": "[XXXXX411]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50792": {
+      "content": "[XXXXX768]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50793": {
+      "content": "[XXXXX1165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50794": {
+      "content": "[XXXXX888]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50795": {
+      "content": "[XXXXX636]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50796": {
+      "content": "[XXXXX1047]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50797": {
+      "content": "[XXXXX960]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50798": {
+      "content": "[XXXXX910]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50799": {
+      "content": "[XXXXX42]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50800": {
+      "content": "[XXXXX238]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50801": {
+      "content": "[XXXXX383]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50802": {
+      "content": "[XXXXX1032]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50803": {
+      "content": "[XXXXX577]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50804": {
+      "content": "[XXXXX268]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50805": {
+      "content": "[XXXXX179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50806": {
+      "content": "[XXXXX1076]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50807": {
+      "content": "[XXXXX1167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50808": {
+      "content": "[XXXXX1172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50809": {
+      "content": "[XXXXX665]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50810": {
+      "content": "[XXXXX126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50811": {
+      "content": "[XXXXX347]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50812": {
+      "content": "[XXXXX544]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50813": {
+      "content": "[XXXXX1026]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50814": {
+      "content": "[XXXXX159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50815": {
+      "content": "[XXXXX503]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50816": {
+      "content": "[XXXXX583]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50817": {
+      "content": "[XXXXX668]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50818": {
+      "content": "[XXXXX1115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50819": {
+      "content": "[XXXXX112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50820": {
+      "content": "[XXXXX154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50821": {
+      "content": "[XXXXX761]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50822": {
+      "content": "[XXXXX540]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50823": {
+      "content": "[XXXXX755]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50824": {
+      "content": "[XXXXX255]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50825": {
+      "content": "[XXXXX459]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50826": {
+      "content": "[XXXXX1090]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50827": {
+      "content": "[XXXXX689]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50828": {
+      "content": "[XXXXX589]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50829": {
+      "content": "[XXXXX122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50830": {
+      "content": "[XXXXX789]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50831": {
+      "content": "[XXXXX481]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50832": {
+      "content": "[XXXXX1044]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50833": {
+      "content": "[XXXXX274]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50834": {
+      "content": "[XXXXX957]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50835": {
+      "content": "[XXXXX1121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50836": {
+      "content": "[XXXXX464]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50837": {
+      "content": "[XXXXX495]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50838": {
+      "content": "[XXXXX1097]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50839": {
+      "content": "[XXXXX581]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50840": {
+      "content": "[XXXXX200]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50841": {
+      "content": "[XXXXX954]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50842": {
+      "content": "[XXXXX48]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50843": {
+      "content": "[XXXXX855]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50844": {
+      "content": "[XXXXX419]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50845": {
+      "content": "[XXXXX919]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50846": {
+      "content": "[XXXXX451]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50847": {
+      "content": "[XXXXX869]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50848": {
+      "content": "[XXXXX1082]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50849": {
+      "content": "[XXXXX1185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50850": {
+      "content": "[XXXXX859]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50851": {
+      "content": "[XXXXX1139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50852": {
+      "content": "[XXXXX1072]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50853": {
+      "content": "[XXXXX220]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50854": {
+      "content": "[XXXXX465]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50855": {
+      "content": "[XXXXX1105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50856": {
+      "content": "[XXXXX1093]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50857": {
+      "content": "[XXXXX953]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50858": {
+      "content": "[XXXXX1187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50859": {
+      "content": "[XXXXX311]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50860": {
+      "content": "[XXXXX403]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50861": {
+      "content": "[XXXXX684]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50862": {
+      "content": "[XXXXX426]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50863": {
+      "content": "[XXXXX68]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50864": {
+      "content": "[XXXXX277]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50865": {
+      "content": "[XXXXX437]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50866": {
+      "content": "[XXXXX896]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50867": {
+      "content": "[XXXXX899]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50868": {
+      "content": "[XXXXX878]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50869": {
+      "content": "[XXXXX1073]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50870": {
+      "content": "[XXXXX774]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50871": {
+      "content": "[XXXXX315]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50872": {
+      "content": "[XXXXX631]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50873": {
+      "content": "[XXXXX223]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50874": {
+      "content": "[XXXXX86]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50875": {
+      "content": "[XXXXX607]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50876": {
+      "content": "[XXXXX149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50877": {
+      "content": "[XXXXX566]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50878": {
+      "content": "[XXXXX740]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50879": {
+      "content": "[XXXXX265]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50880": {
+      "content": "[XXXXX399]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50881": {
+      "content": "[XXXXX1053]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50882": {
+      "content": "[XXXXX1077]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50883": {
+      "content": "[XXXXX336]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50884": {
+      "content": "[XXXXX734]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50885": {
+      "content": "[XXXXX289]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50886": {
+      "content": "[XXXXX221]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50887": {
+      "content": "[XXXXX580]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50888": {
+      "content": "[XXXXX406]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50889": {
+      "content": "[XXXXX854]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50890": {
+      "content": "[XXXXX673]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50891": {
+      "content": "[XXXXX1146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50892": {
+      "content": "[XXXXX29]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50893": {
+      "content": "[XXXXX496]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50894": {
+      "content": "[XXXXX241]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50895": {
+      "content": "[XXXXX929]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50896": {
+      "content": "[XXXXX169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50897": {
+      "content": "[XXXXX1153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50898": {
+      "content": "[XXXXX440]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50899": {
+      "content": "[XXXXX385]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50900": {
+      "content": "[XXXXX499]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50901": {
+      "content": "[XXXXX718]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50902": {
+      "content": "[XXXXX848]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50903": {
+      "content": "[XXXXX877]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50904": {
+      "content": "[XXXXX641]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50905": {
+      "content": "[XXXXX1137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50906": {
+      "content": "[XXXXX269]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50907": {
+      "content": "[XXXXX521]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50908": {
+      "content": "[XXXXX234]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50909": {
+      "content": "[XXXXX987]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50910": {
+      "content": "[XXXXX741]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50911": {
+      "content": "[XXXXX349]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50912": {
+      "content": "[XXXXX93]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50913": {
+      "content": "[XXXXX247]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50914": {
+      "content": "[XXXXX961]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50915": {
+      "content": "[XXXXX1120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50916": {
+      "content": "[XXXXX369]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50917": {
+      "content": "[XXXXX479]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50918": {
+      "content": "[XXXXX892]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50919": {
+      "content": "[XXXXX553]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50920": {
+      "content": "[XXXXX906]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50921": {
+      "content": "[XXXXX571]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50922": {
+      "content": "[XXXXX1046]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50923": {
+      "content": "[XXXXX206]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50924": {
+      "content": "[XXXXX488]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50925": {
+      "content": "[XXXXX445]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50926": {
+      "content": "[XXXXX524]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50927": {
+      "content": "[XXXXX228]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50928": {
+      "content": "[XXXXX998]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50929": {
+      "content": "[XXXXX675]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50930": {
+      "content": "[XXXXX732]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50931": {
+      "content": "[XXXXX1028]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50932": {
+      "content": "[XXXXX494]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50933": {
+      "content": "[XXXXX965]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50934": {
+      "content": "[XXXXX1021]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50935": {
+      "content": "[XXXXX726]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50936": {
+      "content": "[XXXXX168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50937": {
+      "content": "[XXXXX606]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50938": {
+      "content": "[XXXXX974]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50939": {
+      "content": "[XXXXX504]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50940": {
+      "content": "[XXXXX556]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50941": {
+      "content": "[XXXXX1159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50942": {
+      "content": "[XXXXX417]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50943": {
+      "content": "[XXXXX1175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50944": {
+      "content": "[XXXXX1142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50945": {
+      "content": "[XXXXX753]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50946": {
+      "content": "[XXXXX824]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50947": {
+      "content": "[XXXXX251]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50948": {
+      "content": "[XXXXX345]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50949": {
+      "content": "[XXXXX610]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50950": {
+      "content": "[XXXXX276]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50951": {
+      "content": "[XXXXX783]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50952": {
+      "content": "[XXXXX74]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50953": {
+      "content": "[XXXXX1050]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50954": {
+      "content": "[XXXXX71]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50955": {
+      "content": "[XXXXX360]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50956": {
+      "content": "[XXXXX512]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50957": {
+      "content": "[XXXXX341]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50958": {
+      "content": "[XXXXX375]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50959": {
+      "content": "[XXXXX637]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50960": {
+      "content": "[XXXXX1116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50961": {
+      "content": "[XXXXX9]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50962": {
+      "content": "[XXXXX738]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50963": {
+      "content": "[XXXXX856]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50964": {
+      "content": "[XXXXX979]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50965": {
+      "content": "[XXXXX825]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50966": {
+      "content": "[XXXXX852]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50967": {
+      "content": "[XXXXX215]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50968": {
+      "content": "[XXXXX91]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50969": {
+      "content": "[XXXXX257]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50970": {
+      "content": "[XXXXX325]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50971": {
+      "content": "[XXXXX368]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50972": {
+      "content": "[XXXXX1124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50973": {
+      "content": "[XXXXX188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50974": {
+      "content": "[XXXXX905]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50975": {
+      "content": "[XXXXX284]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50976": {
+      "content": "[XXXXX11]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50977": {
+      "content": "[XXXXX83]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50978": {
+      "content": "[XXXXX611]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50979": {
+      "content": "[XXXXX51]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50980": {
+      "content": "[XXXXX99]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50981": {
+      "content": "[XXXXX288]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50982": {
+      "content": "[XXXXX945]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50983": {
+      "content": "[XXXXX975]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50984": {
+      "content": "[XXXXX282]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50985": {
+      "content": "[XXXXX1068]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50986": {
+      "content": "[XXXXX1180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50987": {
+      "content": "[XXXXX574]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50988": {
+      "content": "[XXXXX305]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50989": {
+      "content": "[XXXXX565]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50990": {
+      "content": "[XXXXX865]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50991": {
+      "content": "[XXXXX1014]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50992": {
+      "content": "[XXXXX1138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50993": {
+      "content": "[XXXXX134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50994": {
+      "content": "[XXXXX321]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50995": {
+      "content": "[XXXXX752]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50996": {
+      "content": "[XXXXX108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50997": {
+      "content": "[XXXXX339]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50998": {
+      "content": "[XXXXX893]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50999": {
+      "content": "[XXXXX1177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51000": {
+      "content": "[XXXXX988]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51001": {
+      "content": "[XXXXX719]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51002": {
+      "content": "[XXXXX1059]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51003": {
+      "content": "[XXXXX421]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51004": {
+      "content": "[XXXXX670]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51005": {
+      "content": "[XXXXX949]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51006": {
+      "content": "[XXXXX14]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51007": {
+      "content": "[XXXXX1087]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51008": {
+      "content": "[XXXXX382]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51009": {
+      "content": "[XXXXX531]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51010": {
+      "content": "[XXXXX1079]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51011": {
+      "content": "[XXXXX1067]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51012": {
+      "content": "[XXXXX655]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51013": {
+      "content": "[XXXXX340]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51014": {
+      "content": "[XXXXX398]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51015": {
+      "content": "[XXXXX175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51016": {
+      "content": "[XXXXX232]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51017": {
+      "content": "[XXXXX244]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51018": {
+      "content": "[XXXXX568]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51019": {
+      "content": "[XXXXX1110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51020": {
+      "content": "[XXXXX191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51021": {
+      "content": "[XXXXX931]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51022": {
+      "content": "[XXXXX832]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51023": {
+      "content": "[XXXXX1030]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51024": {
+      "content": "[XXXXX144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51025": {
+      "content": "[XXXXX1102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51026": {
+      "content": "[XXXXX300]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51027": {
+      "content": "[XXXXX996]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51028": {
+      "content": "[XXXXX248]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51029": {
+      "content": "[XXXXX66]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51030": {
+      "content": "[XXXXX735]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51031": {
+      "content": "[XXXXX20]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51032": {
+      "content": "[XXXXX694]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51033": {
+      "content": "[XXXXX845]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51034": {
+      "content": "[XXXXX500]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51035": {
+      "content": "[XXXXX613]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51036": {
+      "content": "[XXXXX117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51037": {
+      "content": "[XXXXX886]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51038": {
+      "content": "[XXXXX261]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51039": {
+      "content": "[XXXXX567]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51040": {
+      "content": "[XXXXX541]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51041": {
+      "content": "[XXXXX529]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51042": {
+      "content": "[XXXXX699]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51043": {
+      "content": "[XXXXX715]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51044": {
+      "content": "[XXXXX1003]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51045": {
+      "content": "[XXXXX518]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51046": {
+      "content": "[XXXXX891]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51047": {
+      "content": "[XXXXX192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51048": {
+      "content": "[XXXXX53]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51049": {
+      "content": "[XXXXX428]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51050": {
+      "content": "[XXXXX183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51051": {
+      "content": "[XXXXX850]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51052": {
+      "content": "[XXXXX539]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51053": {
+      "content": "[XXXXX527]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51054": {
+      "content": "[XXXXX660]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51055": {
+      "content": "[XXXXX409]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51056": {
+      "content": "[XXXXX1122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51057": {
+      "content": "[XXXXX898]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51058": {
+      "content": "[XXXXX858]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51059": {
+      "content": "[XXXXX534]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51060": {
+      "content": "[XXXXX756]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51061": {
+      "content": "[XXXXX63]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51062": {
+      "content": "[XXXXX49]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51063": {
+      "content": "[XXXXX1106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51064": {
+      "content": "[XXXXX111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51065": {
+      "content": "[XXXXX955]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51066": {
+      "content": "[XXXXX309]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51067": {
+      "content": "[XXXXX538]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51068": {
+      "content": "[XXXXX823]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51069": {
+      "content": "[XXXXX867]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51070": {
+      "content": "[XXXXX587]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51071": {
+      "content": "[XXXXX243]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51072": {
+      "content": "[XXXXX677]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51073": {
+      "content": "[XXXXX1017]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51074": {
+      "content": "[XXXXX173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51075": {
+      "content": "[XXXXX682]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51076": {
+      "content": "[XXXXX1184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51077": {
+      "content": "[XXXXX1009]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51078": {
+      "content": "[XXXXX704]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51079": {
+      "content": "[XXXXX532]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51080": {
+      "content": "[XXXXX901]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51081": {
+      "content": "[XXXXX120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51082": {
+      "content": "[XXXXX388]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51083": {
+      "content": "[XXXXX405]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51084": {
+      "content": "[XXXXX788]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51085": {
+      "content": "[XXXXX728]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51086": {
+      "content": "[XXXXX425]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51087": {
+      "content": "[XXXXX883]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51088": {
+      "content": "[XXXXX837]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51089": {
+      "content": "[XXXXX350]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51090": {
+      "content": "[XXXXX716]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51091": {
+      "content": "[XXXXX579]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51092": {
+      "content": "[XXXXX909]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51093": {
+      "content": "[XXXXX884]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51094": {
+      "content": "[XXXXX1011]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51095": {
+      "content": "[XXXXX372]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51096": {
+      "content": "[XXXXX370]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51097": {
+      "content": "[XXXXX468]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51098": {
+      "content": "[XXXXX688]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51099": {
+      "content": "[XXXXX56]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51100": {
+      "content": "[XXXXX653]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51101": {
+      "content": "[XXXXX623]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51102": {
+      "content": "[XXXXX552]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51103": {
+      "content": "[XXXXX314]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51104": {
+      "content": "[XXXXX1018]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51105": {
+      "content": "[XXXXX1091]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51106": {
+      "content": "[XXXXX342]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51107": {
+      "content": "[XXXXX1065]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51108": {
+      "content": "[XXXXX1161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51109": {
+      "content": "[XXXXX959]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51110": {
+      "content": "[XXXXX1035]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51111": {
+      "content": "[XXXXX530]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51112": {
+      "content": "[XXXXX69]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51113": {
+      "content": "[XXXXX489]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51114": {
+      "content": "[XXXXX1]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51115": {
+      "content": "[XXXXX207]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51116": {
+      "content": "[XXXXX433]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51117": {
+      "content": "[XXXXX358]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51118": {
+      "content": "[XXXXX601]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51119": {
+      "content": "[XXXXX2]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51120": {
+      "content": "[XXXXX722]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51121": {
+      "content": "[XXXXX985]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51122": {
+      "content": "[XXXXX908]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51123": {
+      "content": "[XXXXX1024]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51124": {
+      "content": "[XXXXX1111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51125": {
+      "content": "[XXXXX1113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51126": {
+      "content": "[XXXXX678]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51127": {
+      "content": "[XXXXX19]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51128": {
+      "content": "[XXXXX1186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51129": {
+      "content": "[XXXXX808]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51130": {
+      "content": "[XXXXX493]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51131": {
+      "content": "[XXXXX1155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51132": {
+      "content": "[XXXXX217]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51133": {
+      "content": "[XXXXX616]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51134": {
+      "content": "[XXXXX835]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51135": {
+      "content": "[XXXXX994]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51136": {
+      "content": "[XXXXX484]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51137": {
+      "content": "[XXXXX362]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51138": {
+      "content": "[XXXXX582]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51139": {
+      "content": "[XXXXX1034]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51140": {
+      "content": "[XXXXX772]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51141": {
+      "content": "[XXXXX457]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51142": {
+      "content": "[XXXXX604]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51143": {
+      "content": "[XXXXX456]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51144": {
+      "content": "[XXXXX145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51145": {
+      "content": "[XXXXX476]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51146": {
+      "content": "[XXXXX218]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51147": {
+      "content": "[XXXXX199]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51148": {
+      "content": "[XXXXX364]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51149": {
+      "content": "[XXXXX302]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51150": {
+      "content": "[XXXXX881]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51151": {
+      "content": "[XXXXX1088]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51152": {
+      "content": "[XXXXX356]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51153": {
+      "content": "[XXXXX936]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51154": {
+      "content": "[XXXXX978]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51155": {
+      "content": "[XXXXX895]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51156": {
+      "content": "[XXXXX993]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51157": {
+      "content": "[XXXXX458]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51158": {
+      "content": "[XXXXX1002]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51159": {
+      "content": "[XXXXX1022]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51160": {
+      "content": "[XXXXX25]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51161": {
+      "content": "[XXXXX766]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51162": {
+      "content": "[XXXXX64]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51163": {
+      "content": "[XXXXX211]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51164": {
+      "content": "[XXXXX82]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51165": {
+      "content": "[XXXXX634]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51166": {
+      "content": "[XXXXX661]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51167": {
+      "content": "[XXXXX748]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51168": {
+      "content": "[XXXXX778]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51169": {
+      "content": "[XXXXX24]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51170": {
+      "content": "[XXXXX448]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51171": {
+      "content": "[XXXXX887]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51172": {
+      "content": "[XXXXX890]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51173": {
+      "content": "[XXXXX754]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51174": {
+      "content": "[XXXXX343]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51175": {
+      "content": "[XXXXX1069]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51176": {
+      "content": "[XXXXX294]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51177": {
+      "content": "[XXXXX295]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51178": {
+      "content": "[XXXXX197]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51179": {
+      "content": "[XXXXX210]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51180": {
+      "content": "[XXXXX630]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51181": {
+      "content": "[XXXXX707]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51182": {
+      "content": "[XXXXX864]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51183": {
+      "content": "[XXXXX391]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51184": {
+      "content": "[XXXXX338]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51185": {
+      "content": "[XXXXX800]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51186": {
+      "content": "[XXXXX841]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51187": {
+      "content": "[XXXXX967]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51188": {
+      "content": "[XXXXX793]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51189": {
+      "content": "[XXXXX916]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51190": {
+      "content": "[XXXXX603]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51191": {
+      "content": "[XXXXX270]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51192": {
+      "content": "[XXXXX105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51193": {
+      "content": "[XXXXX1016]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51194": {
+      "content": "[XXXXX804]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51195": {
+      "content": "[XXXXX264]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51196": {
+      "content": "[XXXXX155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51197": {
+      "content": "[XXXXX1190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51198": {
+      "content": "[XXXXX813]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51199": {
+      "content": "[XXXXX546]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "keep_accents": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}
diff --git a/checkpoint-1000/trainer_state.json b/checkpoint-1000/trainer_state.json
new file mode 100644
index 0000000..72a4240
--- /dev/null
+++ b/checkpoint-1000/trainer_state.json
@@ -0,0 +1,2056 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.8285004142502072,
+  "eval_steps": 500,
+  "global_step": 1000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "entropy": 7.218191003799438,
+      "epoch": 0.004142502071251036,
+      "grad_norm": 1.265625,
+      "learning_rate": 2e-06,
+      "loss": 6.8898,
+      "mean_token_accuracy": 0.08805170804262161,
+      "num_tokens": 9149.0,
+      "step": 5
+    },
+    {
+      "entropy": 7.191673707962036,
+      "epoch": 0.008285004142502071,
+      "grad_norm": 1.5078125,
+      "learning_rate": 4.5e-06,
+      "loss": 6.7268,
+      "mean_token_accuracy": 0.09304728880524635,
+      "num_tokens": 16800.0,
+      "step": 10
+    },
+    {
+      "entropy": 7.134524202346801,
+      "epoch": 0.012427506213753107,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7e-06,
+      "loss": 6.8905,
+      "mean_token_accuracy": 0.0921505056321621,
+      "num_tokens": 26617.0,
+      "step": 15
+    },
+    {
+      "entropy": 7.115550088882446,
+      "epoch": 0.016570008285004142,
+      "grad_norm": 1.25,
+      "learning_rate": 9.5e-06,
+      "loss": 6.8021,
+      "mean_token_accuracy": 0.09268744736909866,
+      "num_tokens": 35855.0,
+      "step": 20
+    },
+    {
+      "entropy": 7.12396879196167,
+      "epoch": 0.020712510356255178,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.2e-05,
+      "loss": 7.0094,
+      "mean_token_accuracy": 0.08752714470028877,
+      "num_tokens": 45644.0,
+      "step": 25
+    },
+    {
+      "entropy": 7.054446792602539,
+      "epoch": 0.024855012427506214,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.4500000000000002e-05,
+      "loss": 6.8922,
+      "mean_token_accuracy": 0.09398627206683159,
+      "num_tokens": 54641.0,
+      "step": 30
+    },
+    {
+      "entropy": 7.012255907058716,
+      "epoch": 0.02899751449875725,
+      "grad_norm": 1.0234375,
+      "learning_rate": 1.7000000000000003e-05,
+      "loss": 6.7519,
+      "mean_token_accuracy": 0.08958807587623596,
+      "num_tokens": 63924.0,
+      "step": 35
+    },
+    {
+      "entropy": 7.068031549453735,
+      "epoch": 0.033140016570008285,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.95e-05,
+      "loss": 6.89,
+      "mean_token_accuracy": 0.09437783882021904,
+      "num_tokens": 73452.0,
+      "step": 40
+    },
+    {
+      "entropy": 7.06072301864624,
+      "epoch": 0.037282518641259324,
+      "grad_norm": 1.0234375,
+      "learning_rate": 2.2e-05,
+      "loss": 6.9455,
+      "mean_token_accuracy": 0.0851291574537754,
+      "num_tokens": 82731.0,
+      "step": 45
+    },
+    {
+      "entropy": 7.090083169937134,
+      "epoch": 0.041425020712510356,
+      "grad_norm": 1.1015625,
+      "learning_rate": 2.4500000000000003e-05,
+      "loss": 6.7734,
+      "mean_token_accuracy": 0.09048294499516488,
+      "num_tokens": 92626.0,
+      "step": 50
+    },
+    {
+      "entropy": 7.149203157424926,
+      "epoch": 0.045567522783761395,
+      "grad_norm": 1.21875,
+      "learning_rate": 2.7e-05,
+      "loss": 6.9497,
+      "mean_token_accuracy": 0.08217904865741729,
+      "num_tokens": 101380.0,
+      "step": 55
+    },
+    {
+      "entropy": 7.119951963424683,
+      "epoch": 0.04971002485501243,
+      "grad_norm": 1.046875,
+      "learning_rate": 2.95e-05,
+      "loss": 6.8604,
+      "mean_token_accuracy": 0.09202293381094932,
+      "num_tokens": 109895.0,
+      "step": 60
+    },
+    {
+      "entropy": 7.2014998435974125,
+      "epoch": 0.053852526926263466,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.2e-05,
+      "loss": 6.8449,
+      "mean_token_accuracy": 0.09257669150829315,
+      "num_tokens": 119203.0,
+      "step": 65
+    },
+    {
+      "entropy": 7.1111664295196535,
+      "epoch": 0.0579950289975145,
+      "grad_norm": 1.1484375,
+      "learning_rate": 3.4500000000000005e-05,
+      "loss": 6.7903,
+      "mean_token_accuracy": 0.09657297283411026,
+      "num_tokens": 127572.0,
+      "step": 70
+    },
+    {
+      "entropy": 7.04930944442749,
+      "epoch": 0.06213753106876554,
+      "grad_norm": 1.03125,
+      "learning_rate": 3.7e-05,
+      "loss": 6.8304,
+      "mean_token_accuracy": 0.09063600301742554,
+      "num_tokens": 137161.0,
+      "step": 75
+    },
+    {
+      "entropy": 7.044711875915527,
+      "epoch": 0.06628003314001657,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.95e-05,
+      "loss": 6.9451,
+      "mean_token_accuracy": 0.08874713778495788,
+      "num_tokens": 145991.0,
+      "step": 80
+    },
+    {
+      "entropy": 7.130092525482178,
+      "epoch": 0.07042253521126761,
+      "grad_norm": 1.0546875,
+      "learning_rate": 4.2000000000000004e-05,
+      "loss": 6.8464,
+      "mean_token_accuracy": 0.08955071866512299,
+      "num_tokens": 154927.0,
+      "step": 85
+    },
+    {
+      "entropy": 7.090402746200562,
+      "epoch": 0.07456503728251865,
+      "grad_norm": 1.34375,
+      "learning_rate": 4.45e-05,
+      "loss": 6.7595,
+      "mean_token_accuracy": 0.09832768961787224,
+      "num_tokens": 163234.0,
+      "step": 90
+    },
+    {
+      "entropy": 7.08957576751709,
+      "epoch": 0.07870753935376967,
+      "grad_norm": 1.015625,
+      "learning_rate": 4.7000000000000004e-05,
+      "loss": 6.7163,
+      "mean_token_accuracy": 0.09379880875349045,
+      "num_tokens": 171554.0,
+      "step": 95
+    },
+    {
+      "entropy": 7.044517278671265,
+      "epoch": 0.08285004142502071,
+      "grad_norm": 1.1328125,
+      "learning_rate": 4.9500000000000004e-05,
+      "loss": 6.8173,
+      "mean_token_accuracy": 0.0955286517739296,
+      "num_tokens": 180171.0,
+      "step": 100
+    },
+    {
+      "entropy": 7.050950908660889,
+      "epoch": 0.08699254349627175,
+      "grad_norm": 1.0859375,
+      "learning_rate": 5.2e-05,
+      "loss": 6.761,
+      "mean_token_accuracy": 0.09741089940071106,
+      "num_tokens": 189216.0,
+      "step": 105
+    },
+    {
+      "entropy": 7.173562717437744,
+      "epoch": 0.09113504556752279,
+      "grad_norm": 1.015625,
+      "learning_rate": 5.45e-05,
+      "loss": 6.9519,
+      "mean_token_accuracy": 0.08675800338387489,
+      "num_tokens": 200022.0,
+      "step": 110
+    },
+    {
+      "entropy": 7.183744478225708,
+      "epoch": 0.09527754763877382,
+      "grad_norm": 1.2265625,
+      "learning_rate": 5.7e-05,
+      "loss": 6.8642,
+      "mean_token_accuracy": 0.09210581332445145,
+      "num_tokens": 208686.0,
+      "step": 115
+    },
+    {
+      "entropy": 7.121539115905762,
+      "epoch": 0.09942004971002485,
+      "grad_norm": 1.1875,
+      "learning_rate": 5.9499999999999996e-05,
+      "loss": 6.8829,
+      "mean_token_accuracy": 0.09462191313505172,
+      "num_tokens": 218266.0,
+      "step": 120
+    },
+    {
+      "entropy": 7.006736946105957,
+      "epoch": 0.1035625517812759,
+      "grad_norm": 1.046875,
+      "learning_rate": 6.2e-05,
+      "loss": 6.7523,
+      "mean_token_accuracy": 0.08771666437387467,
+      "num_tokens": 227658.0,
+      "step": 125
+    },
+    {
+      "entropy": 7.040027761459351,
+      "epoch": 0.10770505385252693,
+      "grad_norm": 1.1015625,
+      "learning_rate": 6.450000000000001e-05,
+      "loss": 6.7014,
+      "mean_token_accuracy": 0.1004502885043621,
+      "num_tokens": 236301.0,
+      "step": 130
+    },
+    {
+      "entropy": 7.106470441818237,
+      "epoch": 0.11184755592377796,
+      "grad_norm": 1.1171875,
+      "learning_rate": 6.7e-05,
+      "loss": 6.8424,
+      "mean_token_accuracy": 0.08812138065695763,
+      "num_tokens": 246355.0,
+      "step": 135
+    },
+    {
+      "entropy": 7.174679756164551,
+      "epoch": 0.115990057995029,
+      "grad_norm": 1.15625,
+      "learning_rate": 6.950000000000001e-05,
+      "loss": 6.8174,
+      "mean_token_accuracy": 0.0924198254942894,
+      "num_tokens": 256023.0,
+      "step": 140
+    },
+    {
+      "entropy": 7.10174069404602,
+      "epoch": 0.12013256006628004,
+      "grad_norm": 0.9921875,
+      "learning_rate": 7.2e-05,
+      "loss": 6.9036,
+      "mean_token_accuracy": 0.08638993799686431,
+      "num_tokens": 266893.0,
+      "step": 145
+    },
+    {
+      "entropy": 7.019921684265137,
+      "epoch": 0.12427506213753108,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7.45e-05,
+      "loss": 6.6606,
+      "mean_token_accuracy": 0.08872481286525727,
+      "num_tokens": 276075.0,
+      "step": 150
+    },
+    {
+      "entropy": 7.042754888534546,
+      "epoch": 0.12841756420878211,
+      "grad_norm": 1.25,
+      "learning_rate": 7.7e-05,
+      "loss": 6.7532,
+      "mean_token_accuracy": 0.09296932220458984,
+      "num_tokens": 285529.0,
+      "step": 155
+    },
+    {
+      "entropy": 7.064399909973145,
+      "epoch": 0.13256006628003314,
+      "grad_norm": 1.15625,
+      "learning_rate": 7.950000000000001e-05,
+      "loss": 6.762,
+      "mean_token_accuracy": 0.09406789913773536,
+      "num_tokens": 294403.0,
+      "step": 160
+    },
+    {
+      "entropy": 7.152362823486328,
+      "epoch": 0.13670256835128416,
+      "grad_norm": 1.28125,
+      "learning_rate": 8.2e-05,
+      "loss": 6.8553,
+      "mean_token_accuracy": 0.09358441680669785,
+      "num_tokens": 303507.0,
+      "step": 165
+    },
+    {
+      "entropy": 7.071487474441528,
+      "epoch": 0.14084507042253522,
+      "grad_norm": 1.21875,
+      "learning_rate": 8.450000000000001e-05,
+      "loss": 6.7534,
+      "mean_token_accuracy": 0.09645206108689308,
+      "num_tokens": 312393.0,
+      "step": 170
+    },
+    {
+      "entropy": 6.956210470199585,
+      "epoch": 0.14498757249378624,
+      "grad_norm": 1.0859375,
+      "learning_rate": 8.7e-05,
+      "loss": 6.7226,
+      "mean_token_accuracy": 0.09953253641724587,
+      "num_tokens": 321309.0,
+      "step": 175
+    },
+    {
+      "entropy": 7.2200812816619875,
+      "epoch": 0.1491300745650373,
+      "grad_norm": 1.1328125,
+      "learning_rate": 8.95e-05,
+      "loss": 6.7879,
+      "mean_token_accuracy": 0.09582221284508705,
+      "num_tokens": 330217.0,
+      "step": 180
+    },
+    {
+      "entropy": 6.964824962615967,
+      "epoch": 0.15327257663628832,
+      "grad_norm": 1.2109375,
+      "learning_rate": 9.2e-05,
+      "loss": 6.8296,
+      "mean_token_accuracy": 0.09584516286849976,
+      "num_tokens": 339587.0,
+      "step": 185
+    },
+    {
+      "entropy": 7.104565525054932,
+      "epoch": 0.15741507870753935,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.45e-05,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.09563353508710862,
+      "num_tokens": 349367.0,
+      "step": 190
+    },
+    {
+      "entropy": 6.90956711769104,
+      "epoch": 0.1615575807787904,
+      "grad_norm": 1.1953125,
+      "learning_rate": 9.7e-05,
+      "loss": 6.6535,
+      "mean_token_accuracy": 0.09533214569091797,
+      "num_tokens": 358272.0,
+      "step": 195
+    },
+    {
+      "entropy": 7.184430170059204,
+      "epoch": 0.16570008285004142,
+      "grad_norm": 1.1875,
+      "learning_rate": 9.95e-05,
+      "loss": 6.8847,
+      "mean_token_accuracy": 0.09342379868030548,
+      "num_tokens": 367709.0,
+      "step": 200
+    },
+    {
+      "entropy": 7.108258152008057,
+      "epoch": 0.16984258492129245,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000102,
+      "loss": 6.7363,
+      "mean_token_accuracy": 0.09321728497743606,
+      "num_tokens": 376180.0,
+      "step": 205
+    },
+    {
+      "entropy": 7.143853282928466,
+      "epoch": 0.1739850869925435,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00010449999999999999,
+      "loss": 6.8927,
+      "mean_token_accuracy": 0.08639989122748375,
+      "num_tokens": 385636.0,
+      "step": 210
+    },
+    {
+      "entropy": 7.005528688430786,
+      "epoch": 0.17812758906379453,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000107,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.10387283116579056,
+      "num_tokens": 394486.0,
+      "step": 215
+    },
+    {
+      "entropy": 7.066776275634766,
+      "epoch": 0.18227009113504558,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0001095,
+      "loss": 6.7286,
+      "mean_token_accuracy": 0.09739693626761436,
+      "num_tokens": 403765.0,
+      "step": 220
+    },
+    {
+      "entropy": 6.9391695022583,
+      "epoch": 0.1864125932062966,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000112,
+      "loss": 6.7198,
+      "mean_token_accuracy": 0.09883175939321517,
+      "num_tokens": 412988.0,
+      "step": 225
+    },
+    {
+      "entropy": 7.029045248031617,
+      "epoch": 0.19055509527754763,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0001145,
+      "loss": 6.6219,
+      "mean_token_accuracy": 0.09850638806819915,
+      "num_tokens": 422096.0,
+      "step": 230
+    },
+    {
+      "entropy": 7.055552911758423,
+      "epoch": 0.19469759734879868,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011700000000000001,
+      "loss": 6.7907,
+      "mean_token_accuracy": 0.08912368193268776,
+      "num_tokens": 431333.0,
+      "step": 235
+    },
+    {
+      "entropy": 7.076433277130127,
+      "epoch": 0.1988400994200497,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00011949999999999999,
+      "loss": 6.825,
+      "mean_token_accuracy": 0.0998022735118866,
+      "num_tokens": 440382.0,
+      "step": 240
+    },
+    {
+      "entropy": 7.098494958877564,
+      "epoch": 0.20298260149130073,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000122,
+      "loss": 6.7184,
+      "mean_token_accuracy": 0.1035430908203125,
+      "num_tokens": 448469.0,
+      "step": 245
+    },
+    {
+      "entropy": 7.065437746047974,
+      "epoch": 0.2071251035625518,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001245,
+      "loss": 6.7562,
+      "mean_token_accuracy": 0.0973759837448597,
+      "num_tokens": 457356.0,
+      "step": 250
+    },
+    {
+      "entropy": 7.103154182434082,
+      "epoch": 0.2112676056338028,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000127,
+      "loss": 6.7821,
+      "mean_token_accuracy": 0.09721289053559304,
+      "num_tokens": 465928.0,
+      "step": 255
+    },
+    {
+      "entropy": 6.99681601524353,
+      "epoch": 0.21541010770505387,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0001295,
+      "loss": 6.6931,
+      "mean_token_accuracy": 0.09931288808584213,
+      "num_tokens": 475269.0,
+      "step": 260
+    },
+    {
+      "entropy": 6.960800266265869,
+      "epoch": 0.2195526097763049,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000132,
+      "loss": 6.679,
+      "mean_token_accuracy": 0.09512786641716957,
+      "num_tokens": 485450.0,
+      "step": 265
+    },
+    {
+      "entropy": 7.0514568328857425,
+      "epoch": 0.22369511184755592,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00013450000000000002,
+      "loss": 6.7347,
+      "mean_token_accuracy": 0.10228226557374001,
+      "num_tokens": 494029.0,
+      "step": 270
+    },
+    {
+      "entropy": 6.9516912460327145,
+      "epoch": 0.22783761391880697,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013700000000000002,
+      "loss": 6.676,
+      "mean_token_accuracy": 0.10202871784567832,
+      "num_tokens": 503253.0,
+      "step": 275
+    },
+    {
+      "entropy": 7.018160057067871,
+      "epoch": 0.231980115990058,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0001395,
+      "loss": 6.6685,
+      "mean_token_accuracy": 0.09529435187578202,
+      "num_tokens": 512857.0,
+      "step": 280
+    },
+    {
+      "entropy": 6.9714985370635985,
+      "epoch": 0.23612261806130902,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00014199999999999998,
+      "loss": 6.7719,
+      "mean_token_accuracy": 0.09288227260112762,
+      "num_tokens": 522319.0,
+      "step": 285
+    },
+    {
+      "entropy": 7.113205528259277,
+      "epoch": 0.24026512013256007,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0001445,
+      "loss": 6.7224,
+      "mean_token_accuracy": 0.09471780881285667,
+      "num_tokens": 531469.0,
+      "step": 290
+    },
+    {
+      "entropy": 6.976934480667114,
+      "epoch": 0.2444076222038111,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000147,
+      "loss": 6.756,
+      "mean_token_accuracy": 0.09480062946677208,
+      "num_tokens": 540470.0,
+      "step": 295
+    },
+    {
+      "entropy": 7.011937475204467,
+      "epoch": 0.24855012427506215,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0001495,
+      "loss": 6.7584,
+      "mean_token_accuracy": 0.09700122326612473,
+      "num_tokens": 550317.0,
+      "step": 300
+    },
+    {
+      "entropy": 7.0365160465240475,
+      "epoch": 0.2526926263463132,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000152,
+      "loss": 6.7067,
+      "mean_token_accuracy": 0.09434132501482964,
+      "num_tokens": 559409.0,
+      "step": 305
+    },
+    {
+      "entropy": 6.928857326507568,
+      "epoch": 0.25683512841756423,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00015450000000000001,
+      "loss": 6.768,
+      "mean_token_accuracy": 0.10764710158109665,
+      "num_tokens": 568726.0,
+      "step": 310
+    },
+    {
+      "entropy": 7.103991413116455,
+      "epoch": 0.2609776304888152,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000157,
+      "loss": 6.7179,
+      "mean_token_accuracy": 0.0976541943848133,
+      "num_tokens": 577926.0,
+      "step": 315
+    },
+    {
+      "entropy": 7.047203779220581,
+      "epoch": 0.2651201325600663,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001595,
+      "loss": 6.7448,
+      "mean_token_accuracy": 0.09809661954641342,
+      "num_tokens": 586695.0,
+      "step": 320
+    },
+    {
+      "entropy": 7.039609956741333,
+      "epoch": 0.26926263463131733,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000162,
+      "loss": 6.771,
+      "mean_token_accuracy": 0.0949723981320858,
+      "num_tokens": 596250.0,
+      "step": 325
+    },
+    {
+      "entropy": 7.063632202148438,
+      "epoch": 0.27340513670256833,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00016450000000000001,
+      "loss": 6.8221,
+      "mean_token_accuracy": 0.09051206335425377,
+      "num_tokens": 605761.0,
+      "step": 330
+    },
+    {
+      "entropy": 7.019326877593994,
+      "epoch": 0.2775476387738194,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00016700000000000002,
+      "loss": 6.7365,
+      "mean_token_accuracy": 0.09872144013643265,
+      "num_tokens": 614313.0,
+      "step": 335
+    },
+    {
+      "entropy": 7.037422132492066,
+      "epoch": 0.28169014084507044,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00016950000000000003,
+      "loss": 6.7692,
+      "mean_token_accuracy": 0.09455474764108658,
+      "num_tokens": 624470.0,
+      "step": 340
+    },
+    {
+      "entropy": 7.039082098007202,
+      "epoch": 0.28583264291632143,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00017199999999999998,
+      "loss": 6.6843,
+      "mean_token_accuracy": 0.09269843101501465,
+      "num_tokens": 633458.0,
+      "step": 345
+    },
+    {
+      "entropy": 6.942268037796021,
+      "epoch": 0.2899751449875725,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00017449999999999999,
+      "loss": 6.6939,
+      "mean_token_accuracy": 0.09877684414386749,
+      "num_tokens": 643251.0,
+      "step": 350
+    },
+    {
+      "entropy": 6.99584732055664,
+      "epoch": 0.29411764705882354,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000177,
+      "loss": 6.7635,
+      "mean_token_accuracy": 0.09713540598750114,
+      "num_tokens": 652005.0,
+      "step": 355
+    },
+    {
+      "entropy": 7.006586170196533,
+      "epoch": 0.2982601491300746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0001795,
+      "loss": 6.6575,
+      "mean_token_accuracy": 0.10120807588100433,
+      "num_tokens": 661003.0,
+      "step": 360
+    },
+    {
+      "entropy": 6.874996137619019,
+      "epoch": 0.3024026512013256,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000182,
+      "loss": 6.6294,
+      "mean_token_accuracy": 0.09844254851341247,
+      "num_tokens": 670221.0,
+      "step": 365
+    },
+    {
+      "entropy": 7.155635738372803,
+      "epoch": 0.30654515327257664,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001845,
+      "loss": 6.9236,
+      "mean_token_accuracy": 0.0882349319756031,
+      "num_tokens": 680756.0,
+      "step": 370
+    },
+    {
+      "entropy": 6.94540753364563,
+      "epoch": 0.3106876553438277,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000187,
+      "loss": 6.6157,
+      "mean_token_accuracy": 0.10289054960012436,
+      "num_tokens": 689641.0,
+      "step": 375
+    },
+    {
+      "entropy": 6.87992377281189,
+      "epoch": 0.3148301574150787,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001895,
+      "loss": 6.5696,
+      "mean_token_accuracy": 0.09839320331811904,
+      "num_tokens": 698209.0,
+      "step": 380
+    },
+    {
+      "entropy": 6.823869276046753,
+      "epoch": 0.31897265948632975,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000192,
+      "loss": 6.5736,
+      "mean_token_accuracy": 0.10355777889490128,
+      "num_tokens": 706712.0,
+      "step": 385
+    },
+    {
+      "entropy": 7.037634468078613,
+      "epoch": 0.3231151615575808,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0001945,
+      "loss": 6.8017,
+      "mean_token_accuracy": 0.09728012606501579,
+      "num_tokens": 716087.0,
+      "step": 390
+    },
+    {
+      "entropy": 6.911249494552612,
+      "epoch": 0.3272576636288318,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00019700000000000002,
+      "loss": 6.6465,
+      "mean_token_accuracy": 0.09347675815224647,
+      "num_tokens": 725913.0,
+      "step": 395
+    },
+    {
+      "entropy": 6.944440317153931,
+      "epoch": 0.33140016570008285,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019950000000000002,
+      "loss": 6.7201,
+      "mean_token_accuracy": 0.10362306237220764,
+      "num_tokens": 735020.0,
+      "step": 400
+    },
+    {
+      "entropy": 6.985636854171753,
+      "epoch": 0.3355426677713339,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000202,
+      "loss": 6.6216,
+      "mean_token_accuracy": 0.09469136893749237,
+      "num_tokens": 744299.0,
+      "step": 405
+    },
+    {
+      "entropy": 6.883630275726318,
+      "epoch": 0.3396851698425849,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00020449999999999998,
+      "loss": 6.6099,
+      "mean_token_accuracy": 0.09694516137242318,
+      "num_tokens": 753231.0,
+      "step": 410
+    },
+    {
+      "entropy": 6.825357389450073,
+      "epoch": 0.34382767191383595,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000207,
+      "loss": 6.6717,
+      "mean_token_accuracy": 0.10230854973196983,
+      "num_tokens": 763043.0,
+      "step": 415
+    },
+    {
+      "entropy": 7.016851997375488,
+      "epoch": 0.347970173985087,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0002095,
+      "loss": 6.6905,
+      "mean_token_accuracy": 0.09913048222661018,
+      "num_tokens": 771977.0,
+      "step": 420
+    },
+    {
+      "entropy": 6.820244407653808,
+      "epoch": 0.352112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000212,
+      "loss": 6.6243,
+      "mean_token_accuracy": 0.1011092983186245,
+      "num_tokens": 780285.0,
+      "step": 425
+    },
+    {
+      "entropy": 6.956075525283813,
+      "epoch": 0.35625517812758906,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002145,
+      "loss": 6.6593,
+      "mean_token_accuracy": 0.09649045094847679,
+      "num_tokens": 789980.0,
+      "step": 430
+    },
+    {
+      "entropy": 6.984846019744873,
+      "epoch": 0.3603976801988401,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021700000000000002,
+      "loss": 6.6275,
+      "mean_token_accuracy": 0.10474459528923034,
+      "num_tokens": 798700.0,
+      "step": 435
+    },
+    {
+      "entropy": 6.767291498184204,
+      "epoch": 0.36454018227009116,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002195,
+      "loss": 6.7208,
+      "mean_token_accuracy": 0.09600067660212516,
+      "num_tokens": 808758.0,
+      "step": 440
+    },
+    {
+      "entropy": 7.046369791030884,
+      "epoch": 0.36868268434134216,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000222,
+      "loss": 6.6666,
+      "mean_token_accuracy": 0.10458802133798599,
+      "num_tokens": 817692.0,
+      "step": 445
+    },
+    {
+      "entropy": 6.95425066947937,
+      "epoch": 0.3728251864125932,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002245,
+      "loss": 6.7146,
+      "mean_token_accuracy": 0.10474570766091347,
+      "num_tokens": 827052.0,
+      "step": 450
+    },
+    {
+      "entropy": 6.895345544815063,
+      "epoch": 0.37696768848384427,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00022700000000000002,
+      "loss": 6.7139,
+      "mean_token_accuracy": 0.1091882586479187,
+      "num_tokens": 836442.0,
+      "step": 455
+    },
+    {
+      "entropy": 6.922871923446655,
+      "epoch": 0.38111019055509526,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00022950000000000002,
+      "loss": 6.5775,
+      "mean_token_accuracy": 0.10118989571928978,
+      "num_tokens": 846441.0,
+      "step": 460
+    },
+    {
+      "entropy": 6.8815388679504395,
+      "epoch": 0.3852526926263463,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00023200000000000003,
+      "loss": 6.6215,
+      "mean_token_accuracy": 0.10475475937128068,
+      "num_tokens": 856108.0,
+      "step": 465
+    },
+    {
+      "entropy": 6.848587274551392,
+      "epoch": 0.38939519469759737,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00023449999999999998,
+      "loss": 6.5833,
+      "mean_token_accuracy": 0.10137399956583977,
+      "num_tokens": 865788.0,
+      "step": 470
+    },
+    {
+      "entropy": 6.886804008483887,
+      "epoch": 0.39353769676884837,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000237,
+      "loss": 6.6302,
+      "mean_token_accuracy": 0.09514767676591873,
+      "num_tokens": 874833.0,
+      "step": 475
+    },
+    {
+      "entropy": 6.751422643661499,
+      "epoch": 0.3976801988400994,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002395,
+      "loss": 6.5997,
+      "mean_token_accuracy": 0.10276172533631325,
+      "num_tokens": 883685.0,
+      "step": 480
+    },
+    {
+      "entropy": 6.881311464309692,
+      "epoch": 0.40182270091135047,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000242,
+      "loss": 6.6001,
+      "mean_token_accuracy": 0.09796027019619942,
+      "num_tokens": 893908.0,
+      "step": 485
+    },
+    {
+      "entropy": 6.934821891784668,
+      "epoch": 0.40596520298260147,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002445,
+      "loss": 6.7142,
+      "mean_token_accuracy": 0.09827135354280472,
+      "num_tokens": 903081.0,
+      "step": 490
+    },
+    {
+      "entropy": 6.7868632793426515,
+      "epoch": 0.4101077050538525,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000247,
+      "loss": 6.5522,
+      "mean_token_accuracy": 0.10336750745773315,
+      "num_tokens": 912515.0,
+      "step": 495
+    },
+    {
+      "entropy": 6.886235475540161,
+      "epoch": 0.4142502071251036,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002495,
+      "loss": 6.5797,
+      "mean_token_accuracy": 0.1070313923060894,
+      "num_tokens": 921056.0,
+      "step": 500
+    },
+    {
+      "epoch": 0.4142502071251036,
+      "eval_entropy": 6.836038604728194,
+      "eval_loss": 6.684774875640869,
+      "eval_mean_token_accuracy": 0.10272799217021034,
+      "eval_num_tokens": 921056.0,
+      "eval_runtime": 2.7891,
+      "eval_samples_per_second": 1343.421,
+      "eval_steps_per_second": 168.152,
+      "step": 500
+    },
+    {
+      "entropy": 6.7657403469085695,
+      "epoch": 0.4183927091963546,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000252,
+      "loss": 6.5317,
+      "mean_token_accuracy": 0.10417452603578567,
+      "num_tokens": 931112.0,
+      "step": 505
+    },
+    {
+      "entropy": 6.821895503997803,
+      "epoch": 0.4225352112676056,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0002545,
+      "loss": 6.6605,
+      "mean_token_accuracy": 0.0978618748486042,
+      "num_tokens": 941120.0,
+      "step": 510
+    },
+    {
+      "entropy": 6.886211729049682,
+      "epoch": 0.4266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000257,
+      "loss": 6.6044,
+      "mean_token_accuracy": 0.09737976416945457,
+      "num_tokens": 950041.0,
+      "step": 515
+    },
+    {
+      "entropy": 6.879851579666138,
+      "epoch": 0.43082021541010773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002595,
+      "loss": 6.5907,
+      "mean_token_accuracy": 0.10606569275259972,
+      "num_tokens": 958608.0,
+      "step": 520
+    },
+    {
+      "entropy": 6.886484861373901,
+      "epoch": 0.43496271748135873,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.000262,
+      "loss": 6.7158,
+      "mean_token_accuracy": 0.09990910813212395,
+      "num_tokens": 966901.0,
+      "step": 525
+    },
+    {
+      "entropy": 6.767313003540039,
+      "epoch": 0.4391052195526098,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026450000000000003,
+      "loss": 6.5504,
+      "mean_token_accuracy": 0.10768762230873108,
+      "num_tokens": 976198.0,
+      "step": 530
+    },
+    {
+      "entropy": 6.892781782150268,
+      "epoch": 0.44324772162386084,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026700000000000004,
+      "loss": 6.624,
+      "mean_token_accuracy": 0.09861580505967141,
+      "num_tokens": 985248.0,
+      "step": 535
+    },
+    {
+      "entropy": 6.772344255447388,
+      "epoch": 0.44739022369511183,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00026950000000000005,
+      "loss": 6.5014,
+      "mean_token_accuracy": 0.1071978710591793,
+      "num_tokens": 993289.0,
+      "step": 540
+    },
+    {
+      "entropy": 6.820696449279785,
+      "epoch": 0.4515327257663629,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027200000000000005,
+      "loss": 6.5909,
+      "mean_token_accuracy": 0.10533165782690049,
+      "num_tokens": 1001784.0,
+      "step": 545
+    },
+    {
+      "entropy": 6.935409688949585,
+      "epoch": 0.45567522783761394,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002745,
+      "loss": 6.5627,
+      "mean_token_accuracy": 0.10804210156202317,
+      "num_tokens": 1010445.0,
+      "step": 550
+    },
+    {
+      "entropy": 6.745790100097656,
+      "epoch": 0.45981772990886494,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000277,
+      "loss": 6.6184,
+      "mean_token_accuracy": 0.10709234476089477,
+      "num_tokens": 1019084.0,
+      "step": 555
+    },
+    {
+      "entropy": 6.7490733623504635,
+      "epoch": 0.463960231980116,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002795,
+      "loss": 6.5249,
+      "mean_token_accuracy": 0.10461713373661041,
+      "num_tokens": 1027263.0,
+      "step": 560
+    },
+    {
+      "entropy": 6.876884937286377,
+      "epoch": 0.46810273405136704,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00028199999999999997,
+      "loss": 6.6233,
+      "mean_token_accuracy": 0.09752989709377288,
+      "num_tokens": 1036275.0,
+      "step": 565
+    },
+    {
+      "entropy": 6.765736055374146,
+      "epoch": 0.47224523612261804,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002845,
+      "loss": 6.7015,
+      "mean_token_accuracy": 0.09858408868312836,
+      "num_tokens": 1045208.0,
+      "step": 570
+    },
+    {
+      "entropy": 6.9024957656860355,
+      "epoch": 0.4763877381938691,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000287,
+      "loss": 6.6287,
+      "mean_token_accuracy": 0.1026283286511898,
+      "num_tokens": 1054703.0,
+      "step": 575
+    },
+    {
+      "entropy": 6.647345924377442,
+      "epoch": 0.48053024026512015,
+      "grad_norm": 1.5,
+      "learning_rate": 0.0002895,
+      "loss": 6.4841,
+      "mean_token_accuracy": 0.10212503597140313,
+      "num_tokens": 1063652.0,
+      "step": 580
+    },
+    {
+      "entropy": 6.717900657653809,
+      "epoch": 0.48467274233637114,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000292,
+      "loss": 6.5873,
+      "mean_token_accuracy": 0.10145951434969902,
+      "num_tokens": 1072070.0,
+      "step": 585
+    },
+    {
+      "entropy": 6.997959756851197,
+      "epoch": 0.4888152444076222,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002945,
+      "loss": 6.6143,
+      "mean_token_accuracy": 0.10064447894692422,
+      "num_tokens": 1079992.0,
+      "step": 590
+    },
+    {
+      "entropy": 6.657160854339599,
+      "epoch": 0.49295774647887325,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000297,
+      "loss": 6.628,
+      "mean_token_accuracy": 0.10435748845338821,
+      "num_tokens": 1088862.0,
+      "step": 595
+    },
+    {
+      "entropy": 6.773271942138672,
+      "epoch": 0.4971002485501243,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002995,
+      "loss": 6.4317,
+      "mean_token_accuracy": 0.10795770138502121,
+      "num_tokens": 1097614.0,
+      "step": 600
+    },
+    {
+      "entropy": 6.7102379322052,
+      "epoch": 0.5012427506213754,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000302,
+      "loss": 6.6288,
+      "mean_token_accuracy": 0.10706980749964715,
+      "num_tokens": 1107347.0,
+      "step": 605
+    },
+    {
+      "entropy": 6.8672473430633545,
+      "epoch": 0.5053852526926264,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003045,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10073774978518486,
+      "num_tokens": 1116707.0,
+      "step": 610
+    },
+    {
+      "entropy": 6.764383840560913,
+      "epoch": 0.5095277547638773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000307,
+      "loss": 6.6549,
+      "mean_token_accuracy": 0.10234303548932075,
+      "num_tokens": 1126356.0,
+      "step": 615
+    },
+    {
+      "entropy": 6.787193298339844,
+      "epoch": 0.5136702568351285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003095,
+      "loss": 6.5847,
+      "mean_token_accuracy": 0.10079671740531922,
+      "num_tokens": 1136281.0,
+      "step": 620
+    },
+    {
+      "entropy": 6.713733196258545,
+      "epoch": 0.5178127589063795,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000312,
+      "loss": 6.5355,
+      "mean_token_accuracy": 0.10429632142186165,
+      "num_tokens": 1145466.0,
+      "step": 625
+    },
+    {
+      "entropy": 6.7503923892974855,
+      "epoch": 0.5219552609776305,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003145,
+      "loss": 6.5409,
+      "mean_token_accuracy": 0.10918259546160698,
+      "num_tokens": 1154225.0,
+      "step": 630
+    },
+    {
+      "entropy": 6.761834907531738,
+      "epoch": 0.5260977630488816,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000317,
+      "loss": 6.5885,
+      "mean_token_accuracy": 0.09673135951161385,
+      "num_tokens": 1163872.0,
+      "step": 635
+    },
+    {
+      "entropy": 6.69431324005127,
+      "epoch": 0.5302402651201326,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003195,
+      "loss": 6.5244,
+      "mean_token_accuracy": 0.10705070868134499,
+      "num_tokens": 1172695.0,
+      "step": 640
+    },
+    {
+      "entropy": 6.651590061187744,
+      "epoch": 0.5343827671913836,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000322,
+      "loss": 6.3962,
+      "mean_token_accuracy": 0.11006554961204529,
+      "num_tokens": 1181291.0,
+      "step": 645
+    },
+    {
+      "entropy": 6.782713270187378,
+      "epoch": 0.5385252692626347,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00032450000000000003,
+      "loss": 6.5715,
+      "mean_token_accuracy": 0.10394523739814758,
+      "num_tokens": 1189927.0,
+      "step": 650
+    },
+    {
+      "entropy": 6.705166435241699,
+      "epoch": 0.5426677713338857,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00032700000000000003,
+      "loss": 6.5043,
+      "mean_token_accuracy": 0.10940467119216919,
+      "num_tokens": 1197913.0,
+      "step": 655
+    },
+    {
+      "entropy": 6.670699262619019,
+      "epoch": 0.5468102734051367,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032950000000000004,
+      "loss": 6.4309,
+      "mean_token_accuracy": 0.11147961542010307,
+      "num_tokens": 1207032.0,
+      "step": 660
+    },
+    {
+      "entropy": 6.640204334259034,
+      "epoch": 0.5509527754763878,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00033200000000000005,
+      "loss": 6.5397,
+      "mean_token_accuracy": 0.10571447387337685,
+      "num_tokens": 1215710.0,
+      "step": 665
+    },
+    {
+      "entropy": 6.694819068908691,
+      "epoch": 0.5550952775476388,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033450000000000005,
+      "loss": 6.52,
+      "mean_token_accuracy": 0.10049431845545768,
+      "num_tokens": 1225619.0,
+      "step": 670
+    },
+    {
+      "entropy": 6.649594163894653,
+      "epoch": 0.5592377796188898,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000337,
+      "loss": 6.4407,
+      "mean_token_accuracy": 0.11157044768333435,
+      "num_tokens": 1235000.0,
+      "step": 675
+    },
+    {
+      "entropy": 6.612611961364746,
+      "epoch": 0.5633802816901409,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003395,
+      "loss": 6.4462,
+      "mean_token_accuracy": 0.108580531924963,
+      "num_tokens": 1243594.0,
+      "step": 680
+    },
+    {
+      "entropy": 6.843221950531006,
+      "epoch": 0.5675227837613919,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000342,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10460855960845947,
+      "num_tokens": 1252279.0,
+      "step": 685
+    },
+    {
+      "entropy": 6.760235929489136,
+      "epoch": 0.5716652858326429,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034449999999999997,
+      "loss": 6.559,
+      "mean_token_accuracy": 0.10665302500128745,
+      "num_tokens": 1261314.0,
+      "step": 690
+    },
+    {
+      "entropy": 6.55326566696167,
+      "epoch": 0.575807787903894,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000347,
+      "loss": 6.4337,
+      "mean_token_accuracy": 0.11188110187649727,
+      "num_tokens": 1270854.0,
+      "step": 695
+    },
+    {
+      "entropy": 6.618375587463379,
+      "epoch": 0.579950289975145,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003495,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.11392810270190239,
+      "num_tokens": 1279183.0,
+      "step": 700
+    },
+    {
+      "entropy": 6.626208257675171,
+      "epoch": 0.584092792046396,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000352,
+      "loss": 6.5015,
+      "mean_token_accuracy": 0.10761247500777245,
+      "num_tokens": 1288347.0,
+      "step": 705
+    },
+    {
+      "entropy": 6.6855669021606445,
+      "epoch": 0.5882352941176471,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003545,
+      "loss": 6.5036,
+      "mean_token_accuracy": 0.10823310390114785,
+      "num_tokens": 1297449.0,
+      "step": 710
+    },
+    {
+      "entropy": 6.710147094726563,
+      "epoch": 0.5923777961888981,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000357,
+      "loss": 6.4688,
+      "mean_token_accuracy": 0.10904998034238815,
+      "num_tokens": 1306232.0,
+      "step": 715
+    },
+    {
+      "entropy": 6.6553794860839846,
+      "epoch": 0.5965202982601492,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003595,
+      "loss": 6.4857,
+      "mean_token_accuracy": 0.11109372302889824,
+      "num_tokens": 1315073.0,
+      "step": 720
+    },
+    {
+      "entropy": 6.674065732955933,
+      "epoch": 0.6006628003314002,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000362,
+      "loss": 6.5301,
+      "mean_token_accuracy": 0.10648825243115426,
+      "num_tokens": 1324629.0,
+      "step": 725
+    },
+    {
+      "entropy": 6.700368881225586,
+      "epoch": 0.6048053024026512,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0003645,
+      "loss": 6.6444,
+      "mean_token_accuracy": 0.10443340390920638,
+      "num_tokens": 1334152.0,
+      "step": 730
+    },
+    {
+      "entropy": 6.779498624801636,
+      "epoch": 0.6089478044739023,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000367,
+      "loss": 6.5946,
+      "mean_token_accuracy": 0.10130336955189705,
+      "num_tokens": 1343063.0,
+      "step": 735
+    },
+    {
+      "entropy": 6.684298419952393,
+      "epoch": 0.6130903065451533,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0003695,
+      "loss": 6.5241,
+      "mean_token_accuracy": 0.10516620799899101,
+      "num_tokens": 1352632.0,
+      "step": 740
+    },
+    {
+      "entropy": 6.582866573333741,
+      "epoch": 0.6172328086164043,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000372,
+      "loss": 6.4712,
+      "mean_token_accuracy": 0.10765027329325676,
+      "num_tokens": 1361103.0,
+      "step": 745
+    },
+    {
+      "entropy": 6.643687963485718,
+      "epoch": 0.6213753106876554,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003745,
+      "loss": 6.4642,
+      "mean_token_accuracy": 0.10832677409052849,
+      "num_tokens": 1370658.0,
+      "step": 750
+    },
+    {
+      "entropy": 6.64506516456604,
+      "epoch": 0.6255178127589064,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000377,
+      "loss": 6.4878,
+      "mean_token_accuracy": 0.10808288529515267,
+      "num_tokens": 1379817.0,
+      "step": 755
+    },
+    {
+      "entropy": 6.640752458572388,
+      "epoch": 0.6296603148301574,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003795,
+      "loss": 6.4418,
+      "mean_token_accuracy": 0.10874675288796425,
+      "num_tokens": 1389329.0,
+      "step": 760
+    },
+    {
+      "entropy": 6.4627049446105955,
+      "epoch": 0.6338028169014085,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000382,
+      "loss": 6.4902,
+      "mean_token_accuracy": 0.10606684386730195,
+      "num_tokens": 1399279.0,
+      "step": 765
+    },
+    {
+      "entropy": 6.621781063079834,
+      "epoch": 0.6379453189726595,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003845,
+      "loss": 6.4146,
+      "mean_token_accuracy": 0.11267002299427986,
+      "num_tokens": 1408765.0,
+      "step": 770
+    },
+    {
+      "entropy": 6.736465692520142,
+      "epoch": 0.6420878210439105,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038700000000000003,
+      "loss": 6.5632,
+      "mean_token_accuracy": 0.10607504546642303,
+      "num_tokens": 1418615.0,
+      "step": 775
+    },
+    {
+      "entropy": 6.616378879547119,
+      "epoch": 0.6462303231151616,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038950000000000003,
+      "loss": 6.4664,
+      "mean_token_accuracy": 0.10207068845629692,
+      "num_tokens": 1427359.0,
+      "step": 780
+    },
+    {
+      "entropy": 6.70065336227417,
+      "epoch": 0.6503728251864126,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00039200000000000004,
+      "loss": 6.622,
+      "mean_token_accuracy": 0.1116428442299366,
+      "num_tokens": 1435516.0,
+      "step": 785
+    },
+    {
+      "entropy": 6.709064102172851,
+      "epoch": 0.6545153272576636,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00039450000000000005,
+      "loss": 6.5704,
+      "mean_token_accuracy": 0.10583743155002594,
+      "num_tokens": 1444438.0,
+      "step": 790
+    },
+    {
+      "entropy": 6.671351766586303,
+      "epoch": 0.6586578293289147,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00039700000000000005,
+      "loss": 6.4996,
+      "mean_token_accuracy": 0.11326526403427124,
+      "num_tokens": 1453740.0,
+      "step": 795
+    },
+    {
+      "entropy": 6.614573907852173,
+      "epoch": 0.6628003314001657,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003995,
+      "loss": 6.4874,
+      "mean_token_accuracy": 0.11111863479018211,
+      "num_tokens": 1462083.0,
+      "step": 800
+    },
+    {
+      "entropy": 6.484545516967773,
+      "epoch": 0.6669428334714167,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000402,
+      "loss": 6.4127,
+      "mean_token_accuracy": 0.1100592203438282,
+      "num_tokens": 1471459.0,
+      "step": 805
+    },
+    {
+      "entropy": 6.621589279174804,
+      "epoch": 0.6710853355426678,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004045,
+      "loss": 6.3972,
+      "mean_token_accuracy": 0.11681128293275833,
+      "num_tokens": 1480516.0,
+      "step": 810
+    },
+    {
+      "entropy": 6.421737241744995,
+      "epoch": 0.6752278376139188,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00040699999999999997,
+      "loss": 6.3,
+      "mean_token_accuracy": 0.11318568140268326,
+      "num_tokens": 1489268.0,
+      "step": 815
+    },
+    {
+      "entropy": 6.700246906280517,
+      "epoch": 0.6793703396851698,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004095,
+      "loss": 6.5174,
+      "mean_token_accuracy": 0.11110908538103104,
+      "num_tokens": 1498819.0,
+      "step": 820
+    },
+    {
+      "entropy": 6.622490644454956,
+      "epoch": 0.6835128417564209,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000412,
+      "loss": 6.501,
+      "mean_token_accuracy": 0.11033953949809075,
+      "num_tokens": 1507852.0,
+      "step": 825
+    },
+    {
+      "entropy": 6.59730544090271,
+      "epoch": 0.6876553438276719,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004145,
+      "loss": 6.5302,
+      "mean_token_accuracy": 0.11122860461473465,
+      "num_tokens": 1517538.0,
+      "step": 830
+    },
+    {
+      "entropy": 6.458763217926025,
+      "epoch": 0.6917978458989229,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000417,
+      "loss": 6.4061,
+      "mean_token_accuracy": 0.11324542313814163,
+      "num_tokens": 1525389.0,
+      "step": 835
+    },
+    {
+      "entropy": 6.57511887550354,
+      "epoch": 0.695940347970174,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004195,
+      "loss": 6.3741,
+      "mean_token_accuracy": 0.11116622686386109,
+      "num_tokens": 1534117.0,
+      "step": 840
+    },
+    {
+      "entropy": 6.522304344177246,
+      "epoch": 0.700082850041425,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000422,
+      "loss": 6.4029,
+      "mean_token_accuracy": 0.11315450444817543,
+      "num_tokens": 1542610.0,
+      "step": 845
+    },
+    {
+      "entropy": 6.5175107479095455,
+      "epoch": 0.704225352112676,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004245,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.1143906556069851,
+      "num_tokens": 1551771.0,
+      "step": 850
+    },
+    {
+      "entropy": 6.620167636871338,
+      "epoch": 0.7083678541839271,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.000427,
+      "loss": 6.5779,
+      "mean_token_accuracy": 0.10512799099087715,
+      "num_tokens": 1560231.0,
+      "step": 855
+    },
+    {
+      "entropy": 6.589151382446289,
+      "epoch": 0.7125103562551781,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004295,
+      "loss": 6.5346,
+      "mean_token_accuracy": 0.10532297939062119,
+      "num_tokens": 1569578.0,
+      "step": 860
+    },
+    {
+      "entropy": 6.563750839233398,
+      "epoch": 0.7166528583264291,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000432,
+      "loss": 6.4187,
+      "mean_token_accuracy": 0.11381370946764946,
+      "num_tokens": 1579308.0,
+      "step": 865
+    },
+    {
+      "entropy": 6.597287034988403,
+      "epoch": 0.7207953603976802,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004345,
+      "loss": 6.6081,
+      "mean_token_accuracy": 0.10267190784215927,
+      "num_tokens": 1589506.0,
+      "step": 870
+    },
+    {
+      "entropy": 6.482245397567749,
+      "epoch": 0.7249378624689312,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000437,
+      "loss": 6.3671,
+      "mean_token_accuracy": 0.11368186473846435,
+      "num_tokens": 1598127.0,
+      "step": 875
+    },
+    {
+      "entropy": 6.548954200744629,
+      "epoch": 0.7290803645401823,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004395,
+      "loss": 6.4125,
+      "mean_token_accuracy": 0.11406067088246345,
+      "num_tokens": 1608073.0,
+      "step": 880
+    },
+    {
+      "entropy": 6.551317119598389,
+      "epoch": 0.7332228666114333,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000442,
+      "loss": 6.4304,
+      "mean_token_accuracy": 0.11178040653467178,
+      "num_tokens": 1616272.0,
+      "step": 885
+    },
+    {
+      "entropy": 6.496135663986206,
+      "epoch": 0.7373653686826843,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004445,
+      "loss": 6.447,
+      "mean_token_accuracy": 0.10845504105091094,
+      "num_tokens": 1625577.0,
+      "step": 890
+    },
+    {
+      "entropy": 6.685812950134277,
+      "epoch": 0.7415078707539354,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000447,
+      "loss": 6.533,
+      "mean_token_accuracy": 0.10158233270049095,
+      "num_tokens": 1634902.0,
+      "step": 895
+    },
+    {
+      "entropy": 6.520436191558838,
+      "epoch": 0.7456503728251864,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00044950000000000003,
+      "loss": 6.4674,
+      "mean_token_accuracy": 0.10865833014249801,
+      "num_tokens": 1644131.0,
+      "step": 900
+    },
+    {
+      "entropy": 6.461379718780518,
+      "epoch": 0.7497928748964374,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00045200000000000004,
+      "loss": 6.3694,
+      "mean_token_accuracy": 0.12158194407820702,
+      "num_tokens": 1652272.0,
+      "step": 905
+    },
+    {
+      "entropy": 6.533070278167725,
+      "epoch": 0.7539353769676885,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00045450000000000004,
+      "loss": 6.4632,
+      "mean_token_accuracy": 0.11447574123740197,
+      "num_tokens": 1660962.0,
+      "step": 910
+    },
+    {
+      "entropy": 6.475569725036621,
+      "epoch": 0.7580778790389395,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045700000000000005,
+      "loss": 6.4006,
+      "mean_token_accuracy": 0.11205699220299721,
+      "num_tokens": 1670570.0,
+      "step": 915
+    },
+    {
+      "entropy": 6.526782608032226,
+      "epoch": 0.7622203811101905,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00045950000000000006,
+      "loss": 6.4497,
+      "mean_token_accuracy": 0.1096197433769703,
+      "num_tokens": 1679674.0,
+      "step": 920
+    },
+    {
+      "entropy": 6.530770015716553,
+      "epoch": 0.7663628831814416,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000462,
+      "loss": 6.4324,
+      "mean_token_accuracy": 0.11466658413410187,
+      "num_tokens": 1688849.0,
+      "step": 925
+    },
+    {
+      "entropy": 6.4163538932800295,
+      "epoch": 0.7705053852526926,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004645,
+      "loss": 6.3128,
+      "mean_token_accuracy": 0.1098814107477665,
+      "num_tokens": 1698565.0,
+      "step": 930
+    },
+    {
+      "entropy": 6.5036052703857425,
+      "epoch": 0.7746478873239436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000467,
+      "loss": 6.3986,
+      "mean_token_accuracy": 0.11683695837855339,
+      "num_tokens": 1708009.0,
+      "step": 935
+    },
+    {
+      "entropy": 6.518198871612549,
+      "epoch": 0.7787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004695,
+      "loss": 6.3878,
+      "mean_token_accuracy": 0.1126109592616558,
+      "num_tokens": 1716497.0,
+      "step": 940
+    },
+    {
+      "entropy": 6.415347719192505,
+      "epoch": 0.7829328914664457,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000472,
+      "loss": 6.4082,
+      "mean_token_accuracy": 0.12070046439766884,
+      "num_tokens": 1725609.0,
+      "step": 945
+    },
+    {
+      "entropy": 6.477306175231933,
+      "epoch": 0.7870753935376967,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004745,
+      "loss": 6.3456,
+      "mean_token_accuracy": 0.11454906165599824,
+      "num_tokens": 1734165.0,
+      "step": 950
+    },
+    {
+      "entropy": 6.454520893096924,
+      "epoch": 0.7912178956089478,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000477,
+      "loss": 6.4546,
+      "mean_token_accuracy": 0.10918105840682983,
+      "num_tokens": 1744856.0,
+      "step": 955
+    },
+    {
+      "entropy": 6.4711943626403805,
+      "epoch": 0.7953603976801988,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004795,
+      "loss": 6.4509,
+      "mean_token_accuracy": 0.10578904524445534,
+      "num_tokens": 1753386.0,
+      "step": 960
+    },
+    {
+      "entropy": 6.4536961078643795,
+      "epoch": 0.7995028997514498,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000482,
+      "loss": 6.3053,
+      "mean_token_accuracy": 0.11872726455330848,
+      "num_tokens": 1762521.0,
+      "step": 965
+    },
+    {
+      "entropy": 6.34936490058899,
+      "epoch": 0.8036454018227009,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004845,
+      "loss": 6.3765,
+      "mean_token_accuracy": 0.11444728896021843,
+      "num_tokens": 1772403.0,
+      "step": 970
+    },
+    {
+      "entropy": 6.375087881088257,
+      "epoch": 0.8077879038939519,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000487,
+      "loss": 6.2884,
+      "mean_token_accuracy": 0.11179185584187508,
+      "num_tokens": 1780924.0,
+      "step": 975
+    },
+    {
+      "entropy": 6.547906732559204,
+      "epoch": 0.8119304059652029,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004895,
+      "loss": 6.4367,
+      "mean_token_accuracy": 0.11225800514221192,
+      "num_tokens": 1789992.0,
+      "step": 980
+    },
+    {
+      "entropy": 6.421040678024292,
+      "epoch": 0.816072908036454,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000492,
+      "loss": 6.3919,
+      "mean_token_accuracy": 0.11761699616909027,
+      "num_tokens": 1799513.0,
+      "step": 985
+    },
+    {
+      "entropy": 6.332476711273193,
+      "epoch": 0.820215410107705,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0004945,
+      "loss": 6.2287,
+      "mean_token_accuracy": 0.11279567033052444,
+      "num_tokens": 1807393.0,
+      "step": 990
+    },
+    {
+      "entropy": 6.438618326187134,
+      "epoch": 0.824357912178956,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000497,
+      "loss": 6.5079,
+      "mean_token_accuracy": 0.10579989776015282,
+      "num_tokens": 1817284.0,
+      "step": 995
+    },
+    {
+      "entropy": 6.449818515777588,
+      "epoch": 0.8285004142502072,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004995,
+      "loss": 6.2996,
+      "mean_token_accuracy": 0.11799877136945724,
+      "num_tokens": 1825591.0,
+      "step": 1000
+    },
+    {
+      "epoch": 0.8285004142502072,
+      "eval_entropy": 6.222835092402216,
+      "eval_loss": 6.475013256072998,
+      "eval_mean_token_accuracy": 0.11269166863866961,
+      "eval_num_tokens": 1825591.0,
+      "eval_runtime": 2.7611,
+      "eval_samples_per_second": 1357.068,
+      "eval_steps_per_second": 169.86,
+      "step": 1000
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 12060,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 2710676201472000.0,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}
diff --git a/checkpoint-1000/training_args.bin b/checkpoint-1000/training_args.bin
new file mode 100644
index 0000000..47a7b32
--- /dev/null
+++ b/checkpoint-1000/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e406e906697be5d5c4bea7f90a038122ca162eb6b7e40512a32661ef55af9075
+size 6353
diff --git a/checkpoint-10000/added_tokens.json b/checkpoint-10000/added_tokens.json
new file mode 100644
index 0000000..b3dbcdb
--- /dev/null
+++ b/checkpoint-10000/added_tokens.json
@@ -0,0 +1,1202 @@
+{
+  "<pad>": 50002,
+  "[CLS]": 50000,
+  "[MASK]": 50003,
+  "[SEP]": 50001,
+  "[XXXXX0]": 50771,
+  "[XXXXX1000]": 50549,
+  "[XXXXX1001]": 50657,
+  "[XXXXX1002]": 51158,
+  "[XXXXX1003]": 51044,
+  "[XXXXX1004]": 50688,
+  "[XXXXX1005]": 50689,
+  "[XXXXX1006]": 50410,
+  "[XXXXX1007]": 50724,
+  "[XXXXX1008]": 50171,
+  "[XXXXX1009]": 51077,
+  "[XXXXX100]": 50091,
+  "[XXXXX1010]": 50639,
+  "[XXXXX1011]": 51094,
+  "[XXXXX1012]": 50392,
+  "[XXXXX1013]": 50626,
+  "[XXXXX1014]": 50991,
+  "[XXXXX1015]": 50529,
+  "[XXXXX1016]": 51193,
+  "[XXXXX1017]": 51073,
+  "[XXXXX1018]": 51104,
+  "[XXXXX1019]": 50775,
+  "[XXXXX101]": 50139,
+  "[XXXXX1020]": 50157,
+  "[XXXXX1021]": 50934,
+  "[XXXXX1022]": 51159,
+  "[XXXXX1023]": 50048,
+  "[XXXXX1024]": 51123,
+  "[XXXXX1025]": 50084,
+  "[XXXXX1026]": 50813,
+  "[XXXXX1027]": 50725,
+  "[XXXXX1028]": 50931,
+  "[XXXXX1029]": 50233,
+  "[XXXXX102]": 50213,
+  "[XXXXX1030]": 51023,
+  "[XXXXX1031]": 50098,
+  "[XXXXX1032]": 50802,
+  "[XXXXX1033]": 50061,
+  "[XXXXX1034]": 51139,
+  "[XXXXX1035]": 51110,
+  "[XXXXX1036]": 50204,
+  "[XXXXX1037]": 50023,
+  "[XXXXX1038]": 50142,
+  "[XXXXX1039]": 50328,
+  "[XXXXX103]": 50087,
+  "[XXXXX1040]": 50435,
+  "[XXXXX1041]": 50489,
+  "[XXXXX1042]": 50216,
+  "[XXXXX1043]": 50144,
+  "[XXXXX1044]": 50832,
+  "[XXXXX1045]": 50566,
+  "[XXXXX1046]": 50922,
+  "[XXXXX1047]": 50796,
+  "[XXXXX1048]": 50533,
+  "[XXXXX1049]": 50433,
+  "[XXXXX104]": 50478,
+  "[XXXXX1050]": 50953,
+  "[XXXXX1051]": 50497,
+  "[XXXXX1052]": 50655,
+  "[XXXXX1053]": 50881,
+  "[XXXXX1054]": 50461,
+  "[XXXXX1055]": 50052,
+  "[XXXXX1056]": 50219,
+  "[XXXXX1057]": 50789,
+  "[XXXXX1058]": 50121,
+  "[XXXXX1059]": 51002,
+  "[XXXXX105]": 51192,
+  "[XXXXX1060]": 50158,
+  "[XXXXX1061]": 50352,
+  "[XXXXX1062]": 50637,
+  "[XXXXX1063]": 50440,
+  "[XXXXX1064]": 50590,
+  "[XXXXX1065]": 51107,
+  "[XXXXX1066]": 50758,
+  "[XXXXX1067]": 51011,
+  "[XXXXX1068]": 50985,
+  "[XXXXX1069]": 51175,
+  "[XXXXX106]": 50532,
+  "[XXXXX1070]": 50790,
+  "[XXXXX1071]": 50394,
+  "[XXXXX1072]": 50852,
+  "[XXXXX1073]": 50869,
+  "[XXXXX1074]": 50126,
+  "[XXXXX1075]": 50783,
+  "[XXXXX1076]": 50806,
+  "[XXXXX1077]": 50882,
+  "[XXXXX1078]": 50726,
+  "[XXXXX1079]": 51010,
+  "[XXXXX107]": 50714,
+  "[XXXXX1080]": 50168,
+  "[XXXXX1081]": 50425,
+  "[XXXXX1082]": 50848,
+  "[XXXXX1083]": 50014,
+  "[XXXXX1084]": 50341,
+  "[XXXXX1085]": 50734,
+  "[XXXXX1086]": 50664,
+  "[XXXXX1087]": 51007,
+  "[XXXXX1088]": 51151,
+  "[XXXXX1089]": 50269,
+  "[XXXXX108]": 50996,
+  "[XXXXX1090]": 50826,
+  "[XXXXX1091]": 51105,
+  "[XXXXX1092]": 50731,
+  "[XXXXX1093]": 50856,
+  "[XXXXX1094]": 50369,
+  "[XXXXX1095]": 50065,
+  "[XXXXX1096]": 50309,
+  "[XXXXX1097]": 50838,
+  "[XXXXX1098]": 50451,
+  "[XXXXX1099]": 50384,
+  "[XXXXX109]": 50543,
+  "[XXXXX10]": 50325,
+  "[XXXXX1100]": 50318,
+  "[XXXXX1101]": 50764,
+  "[XXXXX1102]": 51025,
+  "[XXXXX1103]": 50642,
+  "[XXXXX1104]": 50665,
+  "[XXXXX1105]": 50855,
+  "[XXXXX1106]": 51063,
+  "[XXXXX1107]": 50025,
+  "[XXXXX1108]": 50122,
+  "[XXXXX1109]": 50470,
+  "[XXXXX110]": 50062,
+  "[XXXXX1110]": 51019,
+  "[XXXXX1111]": 51124,
+  "[XXXXX1112]": 50146,
+  "[XXXXX1113]": 51125,
+  "[XXXXX1114]": 50434,
+  "[XXXXX1115]": 50818,
+  "[XXXXX1116]": 50960,
+  "[XXXXX1117]": 50258,
+  "[XXXXX1118]": 50596,
+  "[XXXXX1119]": 50083,
+  "[XXXXX111]": 51064,
+  "[XXXXX1120]": 50915,
+  "[XXXXX1121]": 50835,
+  "[XXXXX1122]": 51056,
+  "[XXXXX1123]": 50172,
+  "[XXXXX1124]": 50972,
+  "[XXXXX1125]": 50275,
+  "[XXXXX1126]": 50430,
+  "[XXXXX1127]": 50743,
+  "[XXXXX1128]": 50551,
+  "[XXXXX1129]": 50439,
+  "[XXXXX112]": 50819,
+  "[XXXXX1130]": 50536,
+  "[XXXXX1131]": 50622,
+  "[XXXXX1132]": 50623,
+  "[XXXXX1133]": 50117,
+  "[XXXXX1134]": 50251,
+  "[XXXXX1135]": 50678,
+  "[XXXXX1136]": 50316,
+  "[XXXXX1137]": 50905,
+  "[XXXXX1138]": 50992,
+  "[XXXXX1139]": 50851,
+  "[XXXXX113]": 50443,
+  "[XXXXX1140]": 50499,
+  "[XXXXX1141]": 50629,
+  "[XXXXX1142]": 50944,
+  "[XXXXX1143]": 50373,
+  "[XXXXX1144]": 50123,
+  "[XXXXX1145]": 50173,
+  "[XXXXX1146]": 50891,
+  "[XXXXX1147]": 50471,
+  "[XXXXX1148]": 50560,
+  "[XXXXX1149]": 50541,
+  "[XXXXX114]": 50631,
+  "[XXXXX1150]": 50033,
+  "[XXXXX1151]": 50063,
+  "[XXXXX1152]": 50767,
+  "[XXXXX1153]": 50897,
+  "[XXXXX1154]": 50568,
+  "[XXXXX1155]": 51131,
+  "[XXXXX1156]": 50009,
+  "[XXXXX1157]": 50417,
+  "[XXXXX1158]": 50477,
+  "[XXXXX1159]": 50941,
+  "[XXXXX115]": 50294,
+  "[XXXXX1160]": 50679,
+  "[XXXXX1161]": 51108,
+  "[XXXXX1162]": 50332,
+  "[XXXXX1163]": 50424,
+  "[XXXXX1164]": 50473,
+  "[XXXXX1165]": 50793,
+  "[XXXXX1166]": 50453,
+  "[XXXXX1167]": 50807,
+  "[XXXXX1168]": 50128,
+  "[XXXXX1169]": 50039,
+  "[XXXXX116]": 50759,
+  "[XXXXX1170]": 50735,
+  "[XXXXX1171]": 50366,
+  "[XXXXX1172]": 50808,
+  "[XXXXX1173]": 50426,
+  "[XXXXX1174]": 50076,
+  "[XXXXX1175]": 50943,
+  "[XXXXX1176]": 50252,
+  "[XXXXX1177]": 50999,
+  "[XXXXX1178]": 50264,
+  "[XXXXX1179]": 50607,
+  "[XXXXX117]": 51036,
+  "[XXXXX1180]": 50986,
+  "[XXXXX1181]": 50744,
+  "[XXXXX1182]": 50186,
+  "[XXXXX1183]": 50555,
+  "[XXXXX1184]": 51076,
+  "[XXXXX1185]": 50849,
+  "[XXXXX1186]": 51128,
+  "[XXXXX1187]": 50858,
+  "[XXXXX1188]": 50656,
+  "[XXXXX1189]": 50064,
+  "[XXXXX118]": 50081,
+  "[XXXXX1190]": 51197,
+  "[XXXXX1191]": 50104,
+  "[XXXXX1192]": 50045,
+  "[XXXXX1193]": 50404,
+  "[XXXXX1194]": 50690,
+  "[XXXXX1195]": 50495,
+  "[XXXXX119]": 50108,
+  "[XXXXX11]": 50976,
+  "[XXXXX120]": 51081,
+  "[XXXXX121]": 50464,
+  "[XXXXX122]": 50829,
+  "[XXXXX123]": 50766,
+  "[XXXXX124]": 50732,
+  "[XXXXX125]": 50221,
+  "[XXXXX126]": 50810,
+  "[XXXXX127]": 50130,
+  "[XXXXX128]": 50751,
+  "[XXXXX129]": 50662,
+  "[XXXXX12]": 50602,
+  "[XXXXX130]": 50035,
+  "[XXXXX131]": 50715,
+  "[XXXXX132]": 50340,
+  "[XXXXX133]": 50563,
+  "[XXXXX134]": 50993,
+  "[XXXXX135]": 50304,
+  "[XXXXX136]": 50131,
+  "[XXXXX137]": 50578,
+  "[XXXXX138]": 50757,
+  "[XXXXX139]": 50582,
+  "[XXXXX13]": 50105,
+  "[XXXXX140]": 50085,
+  "[XXXXX141]": 50553,
+  "[XXXXX142]": 50749,
+  "[XXXXX143]": 50351,
+  "[XXXXX144]": 51024,
+  "[XXXXX145]": 51144,
+  "[XXXXX146]": 50042,
+  "[XXXXX147]": 50145,
+  "[XXXXX148]": 50066,
+  "[XXXXX149]": 50876,
+  "[XXXXX14]": 51006,
+  "[XXXXX150]": 50280,
+  "[XXXXX151]": 50093,
+  "[XXXXX152]": 50638,
+  "[XXXXX153]": 50684,
+  "[XXXXX154]": 50820,
+  "[XXXXX155]": 51196,
+  "[XXXXX156]": 50317,
+  "[XXXXX157]": 50284,
+  "[XXXXX158]": 50288,
+  "[XXXXX159]": 50814,
+  "[XXXXX15]": 50608,
+  "[XXXXX160]": 50004,
+  "[XXXXX161]": 50008,
+  "[XXXXX162]": 50377,
+  "[XXXXX163]": 50214,
+  "[XXXXX164]": 50708,
+  "[XXXXX165]": 50390,
+  "[XXXXX166]": 50741,
+  "[XXXXX167]": 50445,
+  "[XXXXX168]": 50936,
+  "[XXXXX169]": 50896,
+  "[XXXXX16]": 50442,
+  "[XXXXX170]": 50109,
+  "[XXXXX171]": 50140,
+  "[XXXXX172]": 50427,
+  "[XXXXX173]": 51074,
+  "[XXXXX174]": 50162,
+  "[XXXXX175]": 51015,
+  "[XXXXX176]": 50524,
+  "[XXXXX177]": 50673,
+  "[XXXXX178]": 50054,
+  "[XXXXX179]": 50805,
+  "[XXXXX17]": 50482,
+  "[XXXXX180]": 50253,
+  "[XXXXX181]": 50493,
+  "[XXXXX182]": 50421,
+  "[XXXXX183]": 51050,
+  "[XXXXX184]": 50521,
+  "[XXXXX185]": 50188,
+  "[XXXXX186]": 50147,
+  "[XXXXX187]": 50201,
+  "[XXXXX188]": 50973,
+  "[XXXXX189]": 50409,
+  "[XXXXX18]": 50115,
+  "[XXXXX190]": 50051,
+  "[XXXXX191]": 51020,
+  "[XXXXX192]": 51047,
+  "[XXXXX193]": 50669,
+  "[XXXXX194]": 50643,
+  "[XXXXX195]": 50159,
+  "[XXXXX196]": 50649,
+  "[XXXXX197]": 51178,
+  "[XXXXX198]": 50043,
+  "[XXXXX199]": 51147,
+  "[XXXXX19]": 51127,
+  "[XXXXX1]": 51114,
+  "[XXXXX200]": 50840,
+  "[XXXXX201]": 50365,
+  "[XXXXX202]": 50232,
+  "[XXXXX203]": 50241,
+  "[XXXXX204]": 50548,
+  "[XXXXX205]": 50781,
+  "[XXXXX206]": 50923,
+  "[XXXXX207]": 51115,
+  "[XXXXX208]": 50344,
+  "[XXXXX209]": 50299,
+  "[XXXXX20]": 51031,
+  "[XXXXX210]": 51179,
+  "[XXXXX211]": 51163,
+  "[XXXXX212]": 50562,
+  "[XXXXX213]": 50094,
+  "[XXXXX214]": 50257,
+  "[XXXXX215]": 50967,
+  "[XXXXX216]": 50523,
+  "[XXXXX217]": 51132,
+  "[XXXXX218]": 51146,
+  "[XXXXX219]": 50411,
+  "[XXXXX21]": 50354,
+  "[XXXXX220]": 50853,
+  "[XXXXX221]": 50886,
+  "[XXXXX222]": 50600,
+  "[XXXXX223]": 50873,
+  "[XXXXX224]": 50416,
+  "[XXXXX225]": 50675,
+  "[XXXXX226]": 50583,
+  "[XXXXX227]": 50151,
+  "[XXXXX228]": 50927,
+  "[XXXXX229]": 50609,
+  "[XXXXX22]": 50589,
+  "[XXXXX230]": 50238,
+  "[XXXXX231]": 50242,
+  "[XXXXX232]": 51016,
+  "[XXXXX233]": 50406,
+  "[XXXXX234]": 50908,
+  "[XXXXX235]": 50024,
+  "[XXXXX236]": 50270,
+  "[XXXXX237]": 50132,
+  "[XXXXX238]": 50800,
+  "[XXXXX239]": 50236,
+  "[XXXXX23]": 50007,
+  "[XXXXX240]": 50005,
+  "[XXXXX241]": 50894,
+  "[XXXXX242]": 50694,
+  "[XXXXX243]": 51071,
+  "[XXXXX244]": 51017,
+  "[XXXXX245]": 50068,
+  "[XXXXX246]": 50682,
+  "[XXXXX247]": 50913,
+  "[XXXXX248]": 51028,
+  "[XXXXX249]": 50037,
+  "[XXXXX24]": 51169,
+  "[XXXXX250]": 50747,
+  "[XXXXX251]": 50947,
+  "[XXXXX252]": 50329,
+  "[XXXXX253]": 50612,
+  "[XXXXX254]": 50110,
+  "[XXXXX255]": 50824,
+  "[XXXXX256]": 50558,
+  "[XXXXX257]": 50969,
+  "[XXXXX258]": 50729,
+  "[XXXXX259]": 50125,
+  "[XXXXX25]": 51160,
+  "[XXXXX260]": 50040,
+  "[XXXXX261]": 51038,
+  "[XXXXX262]": 50347,
+  "[XXXXX263]": 50740,
+  "[XXXXX264]": 51195,
+  "[XXXXX265]": 50879,
+  "[XXXXX266]": 50770,
+  "[XXXXX267]": 50178,
+  "[XXXXX268]": 50804,
+  "[XXXXX269]": 50906,
+  "[XXXXX26]": 50150,
+  "[XXXXX270]": 51191,
+  "[XXXXX271]": 50047,
+  "[XXXXX272]": 50195,
+  "[XXXXX273]": 50554,
+  "[XXXXX274]": 50833,
+  "[XXXXX275]": 50346,
+  "[XXXXX276]": 50950,
+  "[XXXXX277]": 50864,
+  "[XXXXX278]": 50259,
+  "[XXXXX279]": 50671,
+  "[XXXXX27]": 50468,
+  "[XXXXX280]": 50082,
+  "[XXXXX281]": 50565,
+  "[XXXXX282]": 50984,
+  "[XXXXX283]": 50650,
+  "[XXXXX284]": 50975,
+  "[XXXXX285]": 50603,
+  "[XXXXX286]": 50027,
+  "[XXXXX287]": 50181,
+  "[XXXXX288]": 50981,
+  "[XXXXX289]": 50885,
+  "[XXXXX28]": 50249,
+  "[XXXXX290]": 50522,
+  "[XXXXX291]": 50050,
+  "[XXXXX292]": 50313,
+  "[XXXXX293]": 50503,
+  "[XXXXX294]": 51176,
+  "[XXXXX295]": 51177,
+  "[XXXXX296]": 50379,
+  "[XXXXX297]": 50635,
+  "[XXXXX298]": 50723,
+  "[XXXXX299]": 50200,
+  "[XXXXX29]": 50892,
+  "[XXXXX2]": 51119,
+  "[XXXXX300]": 51026,
+  "[XXXXX301]": 50528,
+  "[XXXXX302]": 51149,
+  "[XXXXX303]": 50044,
+  "[XXXXX304]": 50209,
+  "[XXXXX305]": 50988,
+  "[XXXXX306]": 50518,
+  "[XXXXX307]": 50088,
+  "[XXXXX308]": 50733,
+  "[XXXXX309]": 51066,
+  "[XXXXX30]": 50506,
+  "[XXXXX310]": 50285,
+  "[XXXXX311]": 50859,
+  "[XXXXX312]": 50263,
+  "[XXXXX313]": 50594,
+  "[XXXXX314]": 51103,
+  "[XXXXX315]": 50871,
+  "[XXXXX316]": 50300,
+  "[XXXXX317]": 50760,
+  "[XXXXX318]": 50055,
+  "[XXXXX319]": 50389,
+  "[XXXXX31]": 50212,
+  "[XXXXX320]": 50444,
+  "[XXXXX321]": 50994,
+  "[XXXXX322]": 50281,
+  "[XXXXX323]": 50179,
+  "[XXXXX324]": 50455,
+  "[XXXXX325]": 50970,
+  "[XXXXX326]": 50666,
+  "[XXXXX327]": 50604,
+  "[XXXXX328]": 50627,
+  "[XXXXX329]": 50475,
+  "[XXXXX32]": 50277,
+  "[XXXXX330]": 50667,
+  "[XXXXX331]": 50348,
+  "[XXXXX332]": 50772,
+  "[XXXXX333]": 50163,
+  "[XXXXX334]": 50569,
+  "[XXXXX335]": 50018,
+  "[XXXXX336]": 50883,
+  "[XXXXX337]": 50067,
+  "[XXXXX338]": 51184,
+  "[XXXXX339]": 50997,
+  "[XXXXX33]": 50403,
+  "[XXXXX340]": 51013,
+  "[XXXXX341]": 50957,
+  "[XXXXX342]": 51106,
+  "[XXXXX343]": 51174,
+  "[XXXXX344]": 50391,
+  "[XXXXX345]": 50948,
+  "[XXXXX346]": 50180,
+  "[XXXXX347]": 50811,
+  "[XXXXX348]": 50401,
+  "[XXXXX349]": 50911,
+  "[XXXXX34]": 50223,
+  "[XXXXX350]": 51089,
+  "[XXXXX351]": 50777,
+  "[XXXXX352]": 50189,
+  "[XXXXX353]": 50492,
+  "[XXXXX354]": 50205,
+  "[XXXXX355]": 50374,
+  "[XXXXX356]": 51152,
+  "[XXXXX357]": 50695,
+  "[XXXXX358]": 51117,
+  "[XXXXX359]": 50573,
+  "[XXXXX35]": 50752,
+  "[XXXXX360]": 50955,
+  "[XXXXX361]": 50349,
+  "[XXXXX362]": 51137,
+  "[XXXXX363]": 50641,
+  "[XXXXX364]": 51148,
+  "[XXXXX365]": 50255,
+  "[XXXXX366]": 50310,
+  "[XXXXX367]": 50314,
+  "[XXXXX368]": 50971,
+  "[XXXXX369]": 50916,
+  "[XXXXX36]": 50437,
+  "[XXXXX370]": 51096,
+  "[XXXXX371]": 50557,
+  "[XXXXX372]": 51095,
+  "[XXXXX373]": 50382,
+  "[XXXXX374]": 50119,
+  "[XXXXX375]": 50958,
+  "[XXXXX376]": 50624,
+  "[XXXXX377]": 50483,
+  "[XXXXX378]": 50605,
+  "[XXXXX379]": 50017,
+  "[XXXXX37]": 50706,
+  "[XXXXX380]": 50246,
+  "[XXXXX381]": 50588,
+  "[XXXXX382]": 51008,
+  "[XXXXX383]": 50801,
+  "[XXXXX384]": 50290,
+  "[XXXXX385]": 50899,
+  "[XXXXX386]": 50206,
+  "[XXXXX387]": 50716,
+  "[XXXXX388]": 51082,
+  "[XXXXX389]": 50177,
+  "[XXXXX38]": 50736,
+  "[XXXXX390]": 50282,
+  "[XXXXX391]": 51183,
+  "[XXXXX392]": 50286,
+  "[XXXXX393]": 50659,
+  "[XXXXX394]": 50378,
+  "[XXXXX395]": 50709,
+  "[XXXXX396]": 50028,
+  "[XXXXX397]": 50235,
+  "[XXXXX398]": 51014,
+  "[XXXXX399]": 50880,
+  "[XXXXX39]": 50305,
+  "[XXXXX3]": 50077,
+  "[XXXXX400]": 50155,
+  "[XXXXX401]": 50710,
+  "[XXXXX402]": 50507,
+  "[XXXXX403]": 50860,
+  "[XXXXX404]": 50661,
+  "[XXXXX405]": 51083,
+  "[XXXXX406]": 50888,
+  "[XXXXX407]": 50069,
+  "[XXXXX408]": 50691,
+  "[XXXXX409]": 51055,
+  "[XXXXX40]": 50337,
+  "[XXXXX410]": 50137,
+  "[XXXXX411]": 50791,
+  "[XXXXX412]": 50136,
+  "[XXXXX413]": 50730,
+  "[XXXXX414]": 50267,
+  "[XXXXX415]": 50012,
+  "[XXXXX416]": 50681,
+  "[XXXXX417]": 50942,
+  "[XXXXX418]": 50720,
+  "[XXXXX419]": 50844,
+  "[XXXXX41]": 50387,
+  "[XXXXX420]": 50111,
+  "[XXXXX421]": 51003,
+  "[XXXXX422]": 50785,
+  "[XXXXX423]": 50149,
+  "[XXXXX424]": 50422,
+  "[XXXXX425]": 51086,
+  "[XXXXX426]": 50862,
+  "[XXXXX427]": 50576,
+  "[XXXXX428]": 51049,
+  "[XXXXX429]": 50630,
+  "[XXXXX42]": 50799,
+  "[XXXXX430]": 50289,
+  "[XXXXX431]": 50184,
+  "[XXXXX432]": 50319,
+  "[XXXXX433]": 51116,
+  "[XXXXX434]": 50519,
+  "[XXXXX435]": 50496,
+  "[XXXXX436]": 50517,
+  "[XXXXX437]": 50865,
+  "[XXXXX438]": 50737,
+  "[XXXXX439]": 50356,
+  "[XXXXX43]": 50359,
+  "[XXXXX440]": 50898,
+  "[XXXXX441]": 50113,
+  "[XXXXX442]": 50527,
+  "[XXXXX443]": 50762,
+  "[XXXXX444]": 50540,
+  "[XXXXX445]": 50925,
+  "[XXXXX446]": 50711,
+  "[XXXXX447]": 50143,
+  "[XXXXX448]": 51170,
+  "[XXXXX449]": 50413,
+  "[XXXXX44]": 50097,
+  "[XXXXX450]": 50375,
+  "[XXXXX451]": 50846,
+  "[XXXXX452]": 50217,
+  "[XXXXX453]": 50699,
+  "[XXXXX454]": 50412,
+  "[XXXXX455]": 50418,
+  "[XXXXX456]": 51143,
+  "[XXXXX457]": 51141,
+  "[XXXXX458]": 51157,
+  "[XXXXX459]": 50825,
+  "[XXXXX45]": 50203,
+  "[XXXXX460]": 50194,
+  "[XXXXX461]": 50148,
+  "[XXXXX462]": 50276,
+  "[XXXXX463]": 50271,
+  "[XXXXX464]": 50836,
+  "[XXXXX465]": 50854,
+  "[XXXXX466]": 50164,
+  "[XXXXX467]": 50484,
+  "[XXXXX468]": 51097,
+  "[XXXXX469]": 50182,
+  "[XXXXX46]": 50505,
+  "[XXXXX470]": 50670,
+  "[XXXXX471]": 50595,
+  "[XXXXX472]": 50237,
+  "[XXXXX473]": 50057,
+  "[XXXXX474]": 50431,
+  "[XXXXX475]": 50738,
+  "[XXXXX476]": 51145,
+  "[XXXXX477]": 50247,
+  "[XXXXX478]": 50029,
+  "[XXXXX479]": 50917,
+  "[XXXXX47]": 50579,
+  "[XXXXX480]": 50702,
+  "[XXXXX481]": 50831,
+  "[XXXXX482]": 50753,
+  "[XXXXX483]": 50598,
+  "[XXXXX484]": 51136,
+  "[XXXXX485]": 50092,
+  "[XXXXX486]": 50202,
+  "[XXXXX487]": 50106,
+  "[XXXXX488]": 50924,
+  "[XXXXX489]": 51113,
+  "[XXXXX48]": 50842,
+  "[XXXXX490]": 50761,
+  "[XXXXX491]": 50577,
+  "[XXXXX492]": 50692,
+  "[XXXXX493]": 51130,
+  "[XXXXX494]": 50932,
+  "[XXXXX495]": 50837,
+  "[XXXXX496]": 50893,
+  "[XXXXX497]": 50773,
+  "[XXXXX498]": 50360,
+  "[XXXXX499]": 50900,
+  "[XXXXX49]": 51062,
+  "[XXXXX4]": 50396,
+  "[XXXXX500]": 51034,
+  "[XXXXX501]": 50472,
+  "[XXXXX502]": 50660,
+  "[XXXXX503]": 50815,
+  "[XXXXX504]": 50939,
+  "[XXXXX505]": 50419,
+  "[XXXXX506]": 50324,
+  "[XXXXX507]": 50428,
+  "[XXXXX508]": 50274,
+  "[XXXXX509]": 50311,
+  "[XXXXX50]": 50459,
+  "[XXXXX510]": 50674,
+  "[XXXXX511]": 50580,
+  "[XXXXX512]": 50956,
+  "[XXXXX513]": 50165,
+  "[XXXXX514]": 50320,
+  "[XXXXX515]": 50648,
+  "[XXXXX516]": 50386,
+  "[XXXXX517]": 50058,
+  "[XXXXX518]": 51045,
+  "[XXXXX519]": 50103,
+  "[XXXXX51]": 50979,
+  "[XXXXX520]": 50530,
+  "[XXXXX521]": 50907,
+  "[XXXXX522]": 50260,
+  "[XXXXX523]": 50632,
+  "[XXXXX524]": 50926,
+  "[XXXXX525]": 50687,
+  "[XXXXX526]": 50160,
+  "[XXXXX527]": 51053,
+  "[XXXXX528]": 50652,
+  "[XXXXX529]": 51041,
+  "[XXXXX52]": 50272,
+  "[XXXXX530]": 51111,
+  "[XXXXX531]": 51009,
+  "[XXXXX532]": 51079,
+  "[XXXXX533]": 50487,
+  "[XXXXX534]": 51059,
+  "[XXXXX535]": 50335,
+  "[XXXXX536]": 50380,
+  "[XXXXX537]": 50301,
+  "[XXXXX538]": 51067,
+  "[XXXXX539]": 51052,
+  "[XXXXX53]": 51048,
+  "[XXXXX540]": 50822,
+  "[XXXXX541]": 51040,
+  "[XXXXX542]": 50490,
+  "[XXXXX543]": 50448,
+  "[XXXXX544]": 50812,
+  "[XXXXX545]": 50099,
+  "[XXXXX546]": 51199,
+  "[XXXXX547]": 50226,
+  "[XXXXX548]": 50538,
+  "[XXXXX549]": 50342,
+  "[XXXXX54]": 50701,
+  "[XXXXX550]": 50544,
+  "[XXXXX551]": 50398,
+  "[XXXXX552]": 51102,
+  "[XXXXX553]": 50919,
+  "[XXXXX554]": 50615,
+  "[XXXXX555]": 50769,
+  "[XXXXX556]": 50940,
+  "[XXXXX557]": 50070,
+  "[XXXXX558]": 50680,
+  "[XXXXX559]": 50611,
+  "[XXXXX55]": 50574,
+  "[XXXXX560]": 50381,
+  "[XXXXX561]": 50350,
+  "[XXXXX562]": 50175,
+  "[XXXXX563]": 50584,
+  "[XXXXX564]": 50703,
+  "[XXXXX565]": 50989,
+  "[XXXXX566]": 50877,
+  "[XXXXX567]": 51039,
+  "[XXXXX568]": 51018,
+  "[XXXXX569]": 50452,
+  "[XXXXX56]": 51099,
+  "[XXXXX570]": 50161,
+  "[XXXXX571]": 50921,
+  "[XXXXX572]": 50676,
+  "[XXXXX573]": 50326,
+  "[XXXXX574]": 50987,
+  "[XXXXX575]": 50361,
+  "[XXXXX576]": 50071,
+  "[XXXXX577]": 50803,
+  "[XXXXX578]": 50400,
+  "[XXXXX579]": 51091,
+  "[XXXXX57]": 50501,
+  "[XXXXX580]": 50887,
+  "[XXXXX581]": 50839,
+  "[XXXXX582]": 51138,
+  "[XXXXX583]": 50816,
+  "[XXXXX584]": 50339,
+  "[XXXXX585]": 50463,
+  "[XXXXX586]": 50399,
+  "[XXXXX587]": 51070,
+  "[XXXXX588]": 50457,
+  "[XXXXX589]": 50828,
+  "[XXXXX58]": 50183,
+  "[XXXXX590]": 50080,
+  "[XXXXX591]": 50550,
+  "[XXXXX592]": 50129,
+  "[XXXXX593]": 50273,
+  "[XXXXX594]": 50388,
+  "[XXXXX595]": 50491,
+  "[XXXXX596]": 50278,
+  "[XXXXX597]": 50011,
+  "[XXXXX598]": 50254,
+  "[XXXXX599]": 50302,
+  "[XXXXX59]": 50353,
+  "[XXXXX5]": 50010,
+  "[XXXXX600]": 50704,
+  "[XXXXX601]": 51118,
+  "[XXXXX602]": 50049,
+  "[XXXXX603]": 51190,
+  "[XXXXX604]": 51142,
+  "[XXXXX605]": 50707,
+  "[XXXXX606]": 50937,
+  "[XXXXX607]": 50875,
+  "[XXXXX608]": 50564,
+  "[XXXXX609]": 50345,
+  "[XXXXX60]": 50713,
+  "[XXXXX610]": 50949,
+  "[XXXXX611]": 50978,
+  "[XXXXX612]": 50330,
+  "[XXXXX613]": 51035,
+  "[XXXXX614]": 50402,
+  "[XXXXX615]": 50176,
+  "[XXXXX616]": 51133,
+  "[XXXXX617]": 50222,
+  "[XXXXX618]": 50118,
+  "[XXXXX619]": 50196,
+  "[XXXXX61]": 50298,
+  "[XXXXX620]": 50668,
+  "[XXXXX621]": 50462,
+  "[XXXXX622]": 50218,
+  "[XXXXX623]": 51101,
+  "[XXXXX624]": 50362,
+  "[XXXXX625]": 50779,
+  "[XXXXX626]": 50513,
+  "[XXXXX627]": 50746,
+  "[XXXXX628]": 50141,
+  "[XXXXX629]": 50479,
+  "[XXXXX62]": 50056,
+  "[XXXXX630]": 51180,
+  "[XXXXX631]": 50872,
+  "[XXXXX632]": 50315,
+  "[XXXXX633]": 50397,
+  "[XXXXX634]": 51165,
+  "[XXXXX635]": 50046,
+  "[XXXXX636]": 50795,
+  "[XXXXX637]": 50959,
+  "[XXXXX638]": 50786,
+  "[XXXXX639]": 50240,
+  "[XXXXX63]": 51061,
+  "[XXXXX640]": 50601,
+  "[XXXXX641]": 50904,
+  "[XXXXX642]": 50376,
+  "[XXXXX643]": 50663,
+  "[XXXXX644]": 50613,
+  "[XXXXX645]": 50467,
+  "[XXXXX646]": 50546,
+  "[XXXXX647]": 50465,
+  "[XXXXX648]": 50395,
+  "[XXXXX649]": 50287,
+  "[XXXXX64]": 51162,
+  "[XXXXX650]": 50474,
+  "[XXXXX651]": 50727,
+  "[XXXXX652]": 50243,
+  "[XXXXX653]": 51100,
+  "[XXXXX654]": 50705,
+  "[XXXXX655]": 51012,
+  "[XXXXX656]": 50447,
+  "[XXXXX657]": 50719,
+  "[XXXXX658]": 50712,
+  "[XXXXX659]": 50476,
+  "[XXXXX65]": 50587,
+  "[XXXXX660]": 51054,
+  "[XXXXX661]": 51166,
+  "[XXXXX662]": 50494,
+  "[XXXXX663]": 50230,
+  "[XXXXX664]": 50621,
+  "[XXXXX665]": 50809,
+  "[XXXXX666]": 50265,
+  "[XXXXX667]": 50645,
+  "[XXXXX668]": 50817,
+  "[XXXXX669]": 50030,
+  "[XXXXX66]": 51029,
+  "[XXXXX670]": 51004,
+  "[XXXXX671]": 50685,
+  "[XXXXX672]": 50625,
+  "[XXXXX673]": 50890,
+  "[XXXXX674]": 50383,
+  "[XXXXX675]": 50929,
+  "[XXXXX676]": 50116,
+  "[XXXXX677]": 51072,
+  "[XXXXX678]": 51126,
+  "[XXXXX679]": 50755,
+  "[XXXXX67]": 50717,
+  "[XXXXX680]": 50303,
+  "[XXXXX681]": 50504,
+  "[XXXXX682]": 51075,
+  "[XXXXX683]": 50261,
+  "[XXXXX684]": 50861,
+  "[XXXXX685]": 50306,
+  "[XXXXX686]": 50016,
+  "[XXXXX687]": 50101,
+  "[XXXXX688]": 51098,
+  "[XXXXX689]": 50827,
+  "[XXXXX68]": 50863,
+  "[XXXXX690]": 50640,
+  "[XXXXX691]": 50031,
+  "[XXXXX692]": 50768,
+  "[XXXXX693]": 50013,
+  "[XXXXX694]": 51032,
+  "[XXXXX695]": 50166,
+  "[XXXXX696]": 50127,
+  "[XXXXX697]": 50414,
+  "[XXXXX698]": 50742,
+  "[XXXXX699]": 51042,
+  "[XXXXX69]": 51112,
+  "[XXXXX6]": 50593,
+  "[XXXXX700]": 50292,
+  "[XXXXX701]": 50174,
+  "[XXXXX702]": 50547,
+  "[XXXXX703]": 50498,
+  "[XXXXX704]": 51078,
+  "[XXXXX705]": 50133,
+  "[XXXXX706]": 50041,
+  "[XXXXX707]": 51181,
+  "[XXXXX708]": 50585,
+  "[XXXXX709]": 50776,
+  "[XXXXX70]": 50053,
+  "[XXXXX710]": 50336,
+  "[XXXXX711]": 50765,
+  "[XXXXX712]": 50224,
+  "[XXXXX713]": 50599,
+  "[XXXXX714]": 50207,
+  "[XXXXX715]": 51043,
+  "[XXXXX716]": 51090,
+  "[XXXXX717]": 50006,
+  "[XXXXX718]": 50901,
+  "[XXXXX719]": 51001,
+  "[XXXXX71]": 50954,
+  "[XXXXX720]": 50646,
+  "[XXXXX721]": 50075,
+  "[XXXXX722]": 51120,
+  "[XXXXX723]": 50215,
+  "[XXXXX724]": 50415,
+  "[XXXXX725]": 50154,
+  "[XXXXX726]": 50935,
+  "[XXXXX727]": 50545,
+  "[XXXXX728]": 51085,
+  "[XXXXX729]": 50256,
+  "[XXXXX72]": 50363,
+  "[XXXXX730]": 50700,
+  "[XXXXX731]": 50262,
+  "[XXXXX732]": 50930,
+  "[XXXXX733]": 50333,
+  "[XXXXX734]": 50884,
+  "[XXXXX735]": 51030,
+  "[XXXXX736]": 50231,
+  "[XXXXX737]": 50405,
+  "[XXXXX738]": 50962,
+  "[XXXXX739]": 50458,
+  "[XXXXX73]": 50019,
+  "[XXXXX740]": 50878,
+  "[XXXXX741]": 50910,
+  "[XXXXX742]": 50170,
+  "[XXXXX743]": 50718,
+  "[XXXXX744]": 50616,
+  "[XXXXX745]": 50358,
+  "[XXXXX746]": 50152,
+  "[XXXXX747]": 50525,
+  "[XXXXX748]": 51167,
+  "[XXXXX749]": 50653,
+  "[XXXXX74]": 50952,
+  "[XXXXX750]": 50500,
+  "[XXXXX751]": 50446,
+  "[XXXXX752]": 50995,
+  "[XXXXX753]": 50945,
+  "[XXXXX754]": 51173,
+  "[XXXXX755]": 50823,
+  "[XXXXX756]": 51060,
+  "[XXXXX757]": 50748,
+  "[XXXXX758]": 50020,
+  "[XXXXX759]": 50197,
+  "[XXXXX75]": 50502,
+  "[XXXXX760]": 50291,
+  "[XXXXX761]": 50821,
+  "[XXXXX762]": 50190,
+  "[XXXXX763]": 50745,
+  "[XXXXX764]": 50778,
+  "[XXXXX765]": 50556,
+  "[XXXXX766]": 51161,
+  "[XXXXX767]": 50466,
+  "[XXXXX768]": 50792,
+  "[XXXXX769]": 50208,
+  "[XXXXX76]": 50169,
+  "[XXXXX770]": 50647,
+  "[XXXXX771]": 50610,
+  "[XXXXX772]": 51140,
+  "[XXXXX773]": 50441,
+  "[XXXXX774]": 50870,
+  "[XXXXX775]": 50368,
+  "[XXXXX776]": 50026,
+  "[XXXXX777]": 50677,
+  "[XXXXX778]": 51168,
+  "[XXXXX779]": 50481,
+  "[XXXXX77]": 50515,
+  "[XXXXX780]": 50225,
+  "[XXXXX781]": 50408,
+  "[XXXXX782]": 50090,
+  "[XXXXX783]": 50951,
+  "[XXXXX784]": 50015,
+  "[XXXXX785]": 50658,
+  "[XXXXX786]": 50617,
+  "[XXXXX787]": 50721,
+  "[XXXXX788]": 51084,
+  "[XXXXX789]": 50830,
+  "[XXXXX78]": 50100,
+  "[XXXXX790]": 50606,
+  "[XXXXX791]": 50124,
+  "[XXXXX792]": 50078,
+  "[XXXXX793]": 51188,
+  "[XXXXX794]": 50750,
+  "[XXXXX795]": 50138,
+  "[XXXXX796]": 50239,
+  "[XXXXX797]": 50385,
+  "[XXXXX798]": 50780,
+  "[XXXXX799]": 50683,
+  "[XXXXX79]": 50436,
+  "[XXXXX7]": 50211,
+  "[XXXXX800]": 51185,
+  "[XXXXX801]": 50250,
+  "[XXXXX802]": 50456,
+  "[XXXXX803]": 50508,
+  "[XXXXX804]": 51194,
+  "[XXXXX805]": 50021,
+  "[XXXXX806]": 50307,
+  "[XXXXX807]": 50199,
+  "[XXXXX808]": 51129,
+  "[XXXXX809]": 50686,
+  "[XXXXX80]": 50370,
+  "[XXXXX810]": 50343,
+  "[XXXXX811]": 50614,
+  "[XXXXX812]": 50636,
+  "[XXXXX813]": 51198,
+  "[XXXXX814]": 50788,
+  "[XXXXX815]": 50120,
+  "[XXXXX816]": 50135,
+  "[XXXXX817]": 50293,
+  "[XXXXX818]": 50153,
+  "[XXXXX819]": 50516,
+  "[XXXXX81]": 50581,
+  "[XXXXX820]": 50586,
+  "[XXXXX821]": 50509,
+  "[XXXXX822]": 50220,
+  "[XXXXX823]": 51068,
+  "[XXXXX824]": 50946,
+  "[XXXXX825]": 50965,
+  "[XXXXX826]": 50032,
+  "[XXXXX827]": 50156,
+  "[XXXXX828]": 50449,
+  "[XXXXX829]": 50531,
+  "[XXXXX82]": 51164,
+  "[XXXXX830]": 50486,
+  "[XXXXX831]": 50357,
+  "[XXXXX832]": 51022,
+  "[XXXXX833]": 50633,
+  "[XXXXX834]": 50754,
+  "[XXXXX835]": 51134,
+  "[XXXXX836]": 50193,
+  "[XXXXX837]": 51088,
+  "[XXXXX838]": 50722,
+  "[XXXXX839]": 50756,
+  "[XXXXX83]": 50977,
+  "[XXXXX840]": 50022,
+  "[XXXXX841]": 51186,
+  "[XXXXX842]": 50575,
+  "[XXXXX843]": 50079,
+  "[XXXXX844]": 50644,
+  "[XXXXX845]": 51033,
+  "[XXXXX846]": 50454,
+  "[XXXXX847]": 50095,
+  "[XXXXX848]": 50902,
+  "[XXXXX849]": 50597,
+  "[XXXXX84]": 50167,
+  "[XXXXX850]": 51051,
+  "[XXXXX851]": 50696,
+  "[XXXXX852]": 50966,
+  "[XXXXX853]": 50034,
+  "[XXXXX854]": 50889,
+  "[XXXXX855]": 50843,
+  "[XXXXX856]": 50963,
+  "[XXXXX857]": 50227,
+  "[XXXXX858]": 51058,
+  "[XXXXX859]": 50850,
+  "[XXXXX85]": 50192,
+  "[XXXXX860]": 50228,
+  "[XXXXX861]": 50570,
+  "[XXXXX862]": 50488,
+  "[XXXXX863]": 50539,
+  "[XXXXX864]": 51182,
+  "[XXXXX865]": 50990,
+  "[XXXXX866]": 50542,
+  "[XXXXX867]": 51069,
+  "[XXXXX868]": 50480,
+  "[XXXXX869]": 50847,
+  "[XXXXX86]": 50874,
+  "[XXXXX870]": 50308,
+  "[XXXXX871]": 50510,
+  "[XXXXX872]": 50423,
+  "[XXXXX873]": 50086,
+  "[XXXXX874]": 50591,
+  "[XXXXX875]": 50728,
+  "[XXXXX876]": 50372,
+  "[XXXXX877]": 50903,
+  "[XXXXX878]": 50868,
+  "[XXXXX879]": 50763,
+  "[XXXXX87]": 50571,
+  "[XXXXX880]": 50096,
+  "[XXXXX881]": 51150,
+  "[XXXXX882]": 50460,
+  "[XXXXX883]": 51087,
+  "[XXXXX884]": 51093,
+  "[XXXXX885]": 50295,
+  "[XXXXX886]": 51037,
+  "[XXXXX887]": 51171,
+  "[XXXXX888]": 50794,
+  "[XXXXX889]": 50628,
+  "[XXXXX88]": 50520,
+  "[XXXXX890]": 51172,
+  "[XXXXX891]": 51046,
+  "[XXXXX892]": 50918,
+  "[XXXXX893]": 50998,
+  "[XXXXX894]": 50371,
+  "[XXXXX895]": 51155,
+  "[XXXXX896]": 50866,
+  "[XXXXX897]": 50229,
+  "[XXXXX898]": 51057,
+  "[XXXXX899]": 50867,
+  "[XXXXX89]": 50537,
+  "[XXXXX8]": 50784,
+  "[XXXXX900]": 50739,
+  "[XXXXX901]": 51080,
+  "[XXXXX902]": 50038,
+  "[XXXXX903]": 50321,
+  "[XXXXX904]": 50774,
+  "[XXXXX905]": 50974,
+  "[XXXXX906]": 50920,
+  "[XXXXX907]": 50469,
+  "[XXXXX908]": 51122,
+  "[XXXXX909]": 51092,
+  "[XXXXX90]": 50514,
+  "[XXXXX910]": 50798,
+  "[XXXXX911]": 50245,
+  "[XXXXX912]": 50367,
+  "[XXXXX913]": 50618,
+  "[XXXXX914]": 50072,
+  "[XXXXX915]": 50450,
+  "[XXXXX916]": 51189,
+  "[XXXXX917]": 50485,
+  "[XXXXX918]": 50283,
+  "[XXXXX919]": 50845,
+  "[XXXXX91]": 50968,
+  "[XXXXX920]": 50429,
+  "[XXXXX921]": 50364,
+  "[XXXXX922]": 50782,
+  "[XXXXX923]": 50534,
+  "[XXXXX924]": 50059,
+  "[XXXXX925]": 50102,
+  "[XXXXX926]": 50185,
+  "[XXXXX927]": 50634,
+  "[XXXXX928]": 50567,
+  "[XXXXX929]": 50895,
+  "[XXXXX92]": 50210,
+  "[XXXXX930]": 50561,
+  "[XXXXX931]": 51021,
+  "[XXXXX932]": 50107,
+  "[XXXXX933]": 50407,
+  "[XXXXX934]": 50654,
+  "[XXXXX935]": 50268,
+  "[XXXXX936]": 51153,
+  "[XXXXX937]": 50552,
+  "[XXXXX938]": 50526,
+  "[XXXXX939]": 50322,
+  "[XXXXX93]": 50912,
+  "[XXXXX940]": 50296,
+  "[XXXXX941]": 50572,
+  "[XXXXX942]": 50393,
+  "[XXXXX943]": 50312,
+  "[XXXXX944]": 50592,
+  "[XXXXX945]": 50982,
+  "[XXXXX946]": 50089,
+  "[XXXXX947]": 50331,
+  "[XXXXX948]": 50279,
+  "[XXXXX949]": 51005,
+  "[XXXXX94]": 50198,
+  "[XXXXX950]": 50114,
+  "[XXXXX951]": 50074,
+  "[XXXXX952]": 50248,
+  "[XXXXX953]": 50857,
+  "[XXXXX954]": 50841,
+  "[XXXXX955]": 51065,
+  "[XXXXX956]": 50234,
+  "[XXXXX957]": 50834,
+  "[XXXXX958]": 50535,
+  "[XXXXX959]": 51109,
+  "[XXXXX95]": 50651,
+  "[XXXXX960]": 50797,
+  "[XXXXX961]": 50914,
+  "[XXXXX962]": 50112,
+  "[XXXXX963]": 50073,
+  "[XXXXX964]": 50559,
+  "[XXXXX965]": 50933,
+  "[XXXXX966]": 50619,
+  "[XXXXX967]": 51187,
+  "[XXXXX968]": 50327,
+  "[XXXXX969]": 50698,
+  "[XXXXX96]": 50420,
+  "[XXXXX970]": 50060,
+  "[XXXXX971]": 50432,
+  "[XXXXX972]": 50620,
+  "[XXXXX973]": 50693,
+  "[XXXXX974]": 50938,
+  "[XXXXX975]": 50983,
+  "[XXXXX976]": 50334,
+  "[XXXXX977]": 50438,
+  "[XXXXX978]": 51154,
+  "[XXXXX979]": 50964,
+  "[XXXXX97]": 50672,
+  "[XXXXX980]": 50511,
+  "[XXXXX981]": 50244,
+  "[XXXXX982]": 50266,
+  "[XXXXX983]": 50134,
+  "[XXXXX984]": 50338,
+  "[XXXXX985]": 51121,
+  "[XXXXX986]": 50323,
+  "[XXXXX987]": 50909,
+  "[XXXXX988]": 51000,
+  "[XXXXX989]": 50036,
+  "[XXXXX98]": 50787,
+  "[XXXXX990]": 50512,
+  "[XXXXX991]": 50191,
+  "[XXXXX992]": 50187,
+  "[XXXXX993]": 51156,
+  "[XXXXX994]": 51135,
+  "[XXXXX995]": 50355,
+  "[XXXXX996]": 51027,
+  "[XXXXX997]": 50297,
+  "[XXXXX998]": 50928,
+  "[XXXXX999]": 50697,
+  "[XXXXX99]": 50980,
+  "[XXXXX9]": 50961
+}
diff --git a/checkpoint-10000/config.json b/checkpoint-10000/config.json
new file mode 100644
index 0000000..000c292
--- /dev/null
+++ b/checkpoint-10000/config.json
@@ -0,0 +1,34 @@
+{
+  "activation_function": "gelu",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50000,
+  "dtype": "bfloat16",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50001,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 512,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": 3072,
+  "n_layer": 12,
+  "n_positions": 512,
+  "pad_token_id": 50002,
+  "prefix": "[CLS]",
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "vocab_size": 51200
+}
diff --git a/checkpoint-10000/generation_config.json b/checkpoint-10000/generation_config.json
new file mode 100644
index 0000000..4c122f0
--- /dev/null
+++ b/checkpoint-10000/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50000,
+  "eos_token_id": [
+    50001
+  ],
+  "pad_token_id": 50002,
+  "transformers_version": "4.56.2"
+}
diff --git a/checkpoint-10000/model.safetensors b/checkpoint-10000/model.safetensors
new file mode 100644
index 0000000..63686ce
--- /dev/null
+++ b/checkpoint-10000/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f31314379764d82ddfc7d14c3c6e4428a468990c164c730552e684651bf33db7
+size 249556672
diff --git a/checkpoint-10000/rng_state.pth b/checkpoint-10000/rng_state.pth
new file mode 100644
index 0000000..4715466
--- /dev/null
+++ b/checkpoint-10000/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:783bc811b7ff2e4eb06fe6100b4ee13da5060c0aefd367db96db342584d90eb1
+size 14645
diff --git a/checkpoint-10000/special_tokens_map.json b/checkpoint-10000/special_tokens_map.json
new file mode 100644
index 0000000..c78a835
--- /dev/null
+++ b/checkpoint-10000/special_tokens_map.json
@@ -0,0 +1,1249 @@
+{
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/checkpoint-10000/spiece.model b/checkpoint-10000/spiece.model
new file mode 100644
index 0000000..85d6e93
--- /dev/null
+++ b/checkpoint-10000/spiece.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:762a1e078899c6ba7ef62ef873a57b860c51cc0518791854659b58b4c89742fe
+size 1170764
diff --git a/checkpoint-10000/tokenizer_config.json b/checkpoint-10000/tokenizer_config.json
new file mode 100644
index 0000000..b27d01f
--- /dev/null
+++ b/checkpoint-10000/tokenizer_config.json
@@ -0,0 +1,10825 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50000": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50001": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50002": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50003": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50004": {
+      "content": "[XXXXX160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50005": {
+      "content": "[XXXXX240]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50006": {
+      "content": "[XXXXX717]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50007": {
+      "content": "[XXXXX23]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50008": {
+      "content": "[XXXXX161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50009": {
+      "content": "[XXXXX1156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50010": {
+      "content": "[XXXXX5]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50011": {
+      "content": "[XXXXX597]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50012": {
+      "content": "[XXXXX415]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50013": {
+      "content": "[XXXXX693]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50014": {
+      "content": "[XXXXX1083]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50015": {
+      "content": "[XXXXX784]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50016": {
+      "content": "[XXXXX686]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50017": {
+      "content": "[XXXXX379]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50018": {
+      "content": "[XXXXX335]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50019": {
+      "content": "[XXXXX73]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50020": {
+      "content": "[XXXXX758]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50021": {
+      "content": "[XXXXX805]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50022": {
+      "content": "[XXXXX840]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50023": {
+      "content": "[XXXXX1037]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50024": {
+      "content": "[XXXXX235]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50025": {
+      "content": "[XXXXX1107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50026": {
+      "content": "[XXXXX776]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50027": {
+      "content": "[XXXXX286]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50028": {
+      "content": "[XXXXX396]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50029": {
+      "content": "[XXXXX478]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50030": {
+      "content": "[XXXXX669]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50031": {
+      "content": "[XXXXX691]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50032": {
+      "content": "[XXXXX826]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50033": {
+      "content": "[XXXXX1150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50034": {
+      "content": "[XXXXX853]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50035": {
+      "content": "[XXXXX130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50036": {
+      "content": "[XXXXX989]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50037": {
+      "content": "[XXXXX249]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50038": {
+      "content": "[XXXXX902]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50039": {
+      "content": "[XXXXX1169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50040": {
+      "content": "[XXXXX260]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50041": {
+      "content": "[XXXXX706]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50042": {
+      "content": "[XXXXX146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50043": {
+      "content": "[XXXXX198]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50044": {
+      "content": "[XXXXX303]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50045": {
+      "content": "[XXXXX1192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50046": {
+      "content": "[XXXXX635]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50047": {
+      "content": "[XXXXX271]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50048": {
+      "content": "[XXXXX1023]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50049": {
+      "content": "[XXXXX602]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50050": {
+      "content": "[XXXXX291]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50051": {
+      "content": "[XXXXX190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50052": {
+      "content": "[XXXXX1055]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50053": {
+      "content": "[XXXXX70]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50054": {
+      "content": "[XXXXX178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50055": {
+      "content": "[XXXXX318]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50056": {
+      "content": "[XXXXX62]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50057": {
+      "content": "[XXXXX473]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50058": {
+      "content": "[XXXXX517]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50059": {
+      "content": "[XXXXX924]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50060": {
+      "content": "[XXXXX970]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50061": {
+      "content": "[XXXXX1033]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50062": {
+      "content": "[XXXXX110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50063": {
+      "content": "[XXXXX1151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50064": {
+      "content": "[XXXXX1189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50065": {
+      "content": "[XXXXX1095]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50066": {
+      "content": "[XXXXX148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50067": {
+      "content": "[XXXXX337]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50068": {
+      "content": "[XXXXX245]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50069": {
+      "content": "[XXXXX407]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50070": {
+      "content": "[XXXXX557]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50071": {
+      "content": "[XXXXX576]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50072": {
+      "content": "[XXXXX914]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50073": {
+      "content": "[XXXXX963]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50074": {
+      "content": "[XXXXX951]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50075": {
+      "content": "[XXXXX721]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50076": {
+      "content": "[XXXXX1174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50077": {
+      "content": "[XXXXX3]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50078": {
+      "content": "[XXXXX792]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50079": {
+      "content": "[XXXXX843]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50080": {
+      "content": "[XXXXX590]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50081": {
+      "content": "[XXXXX118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50082": {
+      "content": "[XXXXX280]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50083": {
+      "content": "[XXXXX1119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50084": {
+      "content": "[XXXXX1025]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50085": {
+      "content": "[XXXXX140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50086": {
+      "content": "[XXXXX873]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50087": {
+      "content": "[XXXXX103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50088": {
+      "content": "[XXXXX307]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50089": {
+      "content": "[XXXXX946]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50090": {
+      "content": "[XXXXX782]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50091": {
+      "content": "[XXXXX100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50092": {
+      "content": "[XXXXX485]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50093": {
+      "content": "[XXXXX151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50094": {
+      "content": "[XXXXX213]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50095": {
+      "content": "[XXXXX847]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50096": {
+      "content": "[XXXXX880]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50097": {
+      "content": "[XXXXX44]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50098": {
+      "content": "[XXXXX1031]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50099": {
+      "content": "[XXXXX545]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50100": {
+      "content": "[XXXXX78]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50101": {
+      "content": "[XXXXX687]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50102": {
+      "content": "[XXXXX925]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50103": {
+      "content": "[XXXXX519]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50104": {
+      "content": "[XXXXX1191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50105": {
+      "content": "[XXXXX13]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50106": {
+      "content": "[XXXXX487]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50107": {
+      "content": "[XXXXX932]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50108": {
+      "content": "[XXXXX119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50109": {
+      "content": "[XXXXX170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50110": {
+      "content": "[XXXXX254]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50111": {
+      "content": "[XXXXX420]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50112": {
+      "content": "[XXXXX962]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50113": {
+      "content": "[XXXXX441]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50114": {
+      "content": "[XXXXX950]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50115": {
+      "content": "[XXXXX18]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50116": {
+      "content": "[XXXXX676]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50117": {
+      "content": "[XXXXX1133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50118": {
+      "content": "[XXXXX618]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50119": {
+      "content": "[XXXXX374]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50120": {
+      "content": "[XXXXX815]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50121": {
+      "content": "[XXXXX1058]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50122": {
+      "content": "[XXXXX1108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50123": {
+      "content": "[XXXXX1144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50124": {
+      "content": "[XXXXX791]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50125": {
+      "content": "[XXXXX259]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50126": {
+      "content": "[XXXXX1074]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50127": {
+      "content": "[XXXXX696]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50128": {
+      "content": "[XXXXX1168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50129": {
+      "content": "[XXXXX592]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50130": {
+      "content": "[XXXXX127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50131": {
+      "content": "[XXXXX136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50132": {
+      "content": "[XXXXX237]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50133": {
+      "content": "[XXXXX705]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50134": {
+      "content": "[XXXXX983]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50135": {
+      "content": "[XXXXX816]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50136": {
+      "content": "[XXXXX412]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50137": {
+      "content": "[XXXXX410]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50138": {
+      "content": "[XXXXX795]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50139": {
+      "content": "[XXXXX101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50140": {
+      "content": "[XXXXX171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50141": {
+      "content": "[XXXXX628]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50142": {
+      "content": "[XXXXX1038]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50143": {
+      "content": "[XXXXX447]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50144": {
+      "content": "[XXXXX1043]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50145": {
+      "content": "[XXXXX147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50146": {
+      "content": "[XXXXX1112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50147": {
+      "content": "[XXXXX186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50148": {
+      "content": "[XXXXX461]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50149": {
+      "content": "[XXXXX423]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50150": {
+      "content": "[XXXXX26]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50151": {
+      "content": "[XXXXX227]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50152": {
+      "content": "[XXXXX746]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50153": {
+      "content": "[XXXXX818]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50154": {
+      "content": "[XXXXX725]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50155": {
+      "content": "[XXXXX400]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50156": {
+      "content": "[XXXXX827]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50157": {
+      "content": "[XXXXX1020]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50158": {
+      "content": "[XXXXX1060]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50159": {
+      "content": "[XXXXX195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50160": {
+      "content": "[XXXXX526]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50161": {
+      "content": "[XXXXX570]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50162": {
+      "content": "[XXXXX174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50163": {
+      "content": "[XXXXX333]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50164": {
+      "content": "[XXXXX466]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50165": {
+      "content": "[XXXXX513]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50166": {
+      "content": "[XXXXX695]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50167": {
+      "content": "[XXXXX84]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50168": {
+      "content": "[XXXXX1080]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50169": {
+      "content": "[XXXXX76]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50170": {
+      "content": "[XXXXX742]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50171": {
+      "content": "[XXXXX1008]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50172": {
+      "content": "[XXXXX1123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50173": {
+      "content": "[XXXXX1145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50174": {
+      "content": "[XXXXX701]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50175": {
+      "content": "[XXXXX562]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50176": {
+      "content": "[XXXXX615]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50177": {
+      "content": "[XXXXX389]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50178": {
+      "content": "[XXXXX267]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50179": {
+      "content": "[XXXXX323]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50180": {
+      "content": "[XXXXX346]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50181": {
+      "content": "[XXXXX287]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50182": {
+      "content": "[XXXXX469]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50183": {
+      "content": "[XXXXX58]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50184": {
+      "content": "[XXXXX431]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50185": {
+      "content": "[XXXXX926]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50186": {
+      "content": "[XXXXX1182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50187": {
+      "content": "[XXXXX992]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50188": {
+      "content": "[XXXXX185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50189": {
+      "content": "[XXXXX352]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50190": {
+      "content": "[XXXXX762]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50191": {
+      "content": "[XXXXX991]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50192": {
+      "content": "[XXXXX85]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50193": {
+      "content": "[XXXXX836]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50194": {
+      "content": "[XXXXX460]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50195": {
+      "content": "[XXXXX272]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50196": {
+      "content": "[XXXXX619]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50197": {
+      "content": "[XXXXX759]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50198": {
+      "content": "[XXXXX94]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50199": {
+      "content": "[XXXXX807]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50200": {
+      "content": "[XXXXX299]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50201": {
+      "content": "[XXXXX187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50202": {
+      "content": "[XXXXX486]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50203": {
+      "content": "[XXXXX45]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50204": {
+      "content": "[XXXXX1036]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50205": {
+      "content": "[XXXXX354]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50206": {
+      "content": "[XXXXX386]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50207": {
+      "content": "[XXXXX714]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50208": {
+      "content": "[XXXXX769]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50209": {
+      "content": "[XXXXX304]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50210": {
+      "content": "[XXXXX92]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50211": {
+      "content": "[XXXXX7]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50212": {
+      "content": "[XXXXX31]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50213": {
+      "content": "[XXXXX102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50214": {
+      "content": "[XXXXX163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50215": {
+      "content": "[XXXXX723]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50216": {
+      "content": "[XXXXX1042]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50217": {
+      "content": "[XXXXX452]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50218": {
+      "content": "[XXXXX622]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50219": {
+      "content": "[XXXXX1056]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50220": {
+      "content": "[XXXXX822]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50221": {
+      "content": "[XXXXX125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50222": {
+      "content": "[XXXXX617]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50223": {
+      "content": "[XXXXX34]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50224": {
+      "content": "[XXXXX712]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50225": {
+      "content": "[XXXXX780]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50226": {
+      "content": "[XXXXX547]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50227": {
+      "content": "[XXXXX857]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50228": {
+      "content": "[XXXXX860]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50229": {
+      "content": "[XXXXX897]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50230": {
+      "content": "[XXXXX663]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50231": {
+      "content": "[XXXXX736]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50232": {
+      "content": "[XXXXX202]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50233": {
+      "content": "[XXXXX1029]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50234": {
+      "content": "[XXXXX956]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50235": {
+      "content": "[XXXXX397]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50236": {
+      "content": "[XXXXX239]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50237": {
+      "content": "[XXXXX472]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50238": {
+      "content": "[XXXXX230]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50239": {
+      "content": "[XXXXX796]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50240": {
+      "content": "[XXXXX639]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50241": {
+      "content": "[XXXXX203]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50242": {
+      "content": "[XXXXX231]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50243": {
+      "content": "[XXXXX652]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50244": {
+      "content": "[XXXXX981]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50245": {
+      "content": "[XXXXX911]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50246": {
+      "content": "[XXXXX380]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50247": {
+      "content": "[XXXXX477]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50248": {
+      "content": "[XXXXX952]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50249": {
+      "content": "[XXXXX28]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50250": {
+      "content": "[XXXXX801]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50251": {
+      "content": "[XXXXX1134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50252": {
+      "content": "[XXXXX1176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50253": {
+      "content": "[XXXXX180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50254": {
+      "content": "[XXXXX598]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50255": {
+      "content": "[XXXXX365]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50256": {
+      "content": "[XXXXX729]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50257": {
+      "content": "[XXXXX214]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50258": {
+      "content": "[XXXXX1117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50259": {
+      "content": "[XXXXX278]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50260": {
+      "content": "[XXXXX522]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50261": {
+      "content": "[XXXXX683]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50262": {
+      "content": "[XXXXX731]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50263": {
+      "content": "[XXXXX312]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "[XXXXX1178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50265": {
+      "content": "[XXXXX666]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50266": {
+      "content": "[XXXXX982]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50267": {
+      "content": "[XXXXX414]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50268": {
+      "content": "[XXXXX935]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50269": {
+      "content": "[XXXXX1089]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50270": {
+      "content": "[XXXXX236]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50271": {
+      "content": "[XXXXX463]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50272": {
+      "content": "[XXXXX52]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50273": {
+      "content": "[XXXXX593]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50274": {
+      "content": "[XXXXX508]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50275": {
+      "content": "[XXXXX1125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50276": {
+      "content": "[XXXXX462]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50277": {
+      "content": "[XXXXX32]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50278": {
+      "content": "[XXXXX596]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50279": {
+      "content": "[XXXXX948]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50280": {
+      "content": "[XXXXX150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50281": {
+      "content": "[XXXXX322]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50282": {
+      "content": "[XXXXX390]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50283": {
+      "content": "[XXXXX918]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50284": {
+      "content": "[XXXXX157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50285": {
+      "content": "[XXXXX310]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50286": {
+      "content": "[XXXXX392]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50287": {
+      "content": "[XXXXX649]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50288": {
+      "content": "[XXXXX158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50289": {
+      "content": "[XXXXX430]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50290": {
+      "content": "[XXXXX384]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50291": {
+      "content": "[XXXXX760]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50292": {
+      "content": "[XXXXX700]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50293": {
+      "content": "[XXXXX817]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50294": {
+      "content": "[XXXXX115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50295": {
+      "content": "[XXXXX885]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50296": {
+      "content": "[XXXXX940]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50297": {
+      "content": "[XXXXX997]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50298": {
+      "content": "[XXXXX61]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50299": {
+      "content": "[XXXXX209]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50300": {
+      "content": "[XXXXX316]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50301": {
+      "content": "[XXXXX537]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50302": {
+      "content": "[XXXXX599]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50303": {
+      "content": "[XXXXX680]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50304": {
+      "content": "[XXXXX135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50305": {
+      "content": "[XXXXX39]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50306": {
+      "content": "[XXXXX685]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50307": {
+      "content": "[XXXXX806]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50308": {
+      "content": "[XXXXX870]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50309": {
+      "content": "[XXXXX1096]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50310": {
+      "content": "[XXXXX366]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50311": {
+      "content": "[XXXXX509]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50312": {
+      "content": "[XXXXX943]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50313": {
+      "content": "[XXXXX292]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50314": {
+      "content": "[XXXXX367]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50315": {
+      "content": "[XXXXX632]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50316": {
+      "content": "[XXXXX1136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50317": {
+      "content": "[XXXXX156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50318": {
+      "content": "[XXXXX1100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50319": {
+      "content": "[XXXXX432]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50320": {
+      "content": "[XXXXX514]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50321": {
+      "content": "[XXXXX903]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50322": {
+      "content": "[XXXXX939]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50323": {
+      "content": "[XXXXX986]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50324": {
+      "content": "[XXXXX506]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50325": {
+      "content": "[XXXXX10]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50326": {
+      "content": "[XXXXX573]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50327": {
+      "content": "[XXXXX968]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50328": {
+      "content": "[XXXXX1039]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50329": {
+      "content": "[XXXXX252]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50330": {
+      "content": "[XXXXX612]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50331": {
+      "content": "[XXXXX947]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50332": {
+      "content": "[XXXXX1162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50333": {
+      "content": "[XXXXX733]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50334": {
+      "content": "[XXXXX976]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50335": {
+      "content": "[XXXXX535]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50336": {
+      "content": "[XXXXX710]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50337": {
+      "content": "[XXXXX40]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50338": {
+      "content": "[XXXXX984]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50339": {
+      "content": "[XXXXX584]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50340": {
+      "content": "[XXXXX132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50341": {
+      "content": "[XXXXX1084]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50342": {
+      "content": "[XXXXX549]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50343": {
+      "content": "[XXXXX810]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50344": {
+      "content": "[XXXXX208]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50345": {
+      "content": "[XXXXX609]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50346": {
+      "content": "[XXXXX275]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50347": {
+      "content": "[XXXXX262]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50348": {
+      "content": "[XXXXX331]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50349": {
+      "content": "[XXXXX361]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50350": {
+      "content": "[XXXXX561]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50351": {
+      "content": "[XXXXX143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50352": {
+      "content": "[XXXXX1061]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50353": {
+      "content": "[XXXXX59]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50354": {
+      "content": "[XXXXX21]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50355": {
+      "content": "[XXXXX995]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50356": {
+      "content": "[XXXXX439]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50357": {
+      "content": "[XXXXX831]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50358": {
+      "content": "[XXXXX745]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50359": {
+      "content": "[XXXXX43]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50360": {
+      "content": "[XXXXX498]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50361": {
+      "content": "[XXXXX575]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50362": {
+      "content": "[XXXXX624]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50363": {
+      "content": "[XXXXX72]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50364": {
+      "content": "[XXXXX921]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50365": {
+      "content": "[XXXXX201]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50366": {
+      "content": "[XXXXX1171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50367": {
+      "content": "[XXXXX912]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50368": {
+      "content": "[XXXXX775]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50369": {
+      "content": "[XXXXX1094]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50370": {
+      "content": "[XXXXX80]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50371": {
+      "content": "[XXXXX894]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50372": {
+      "content": "[XXXXX876]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50373": {
+      "content": "[XXXXX1143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50374": {
+      "content": "[XXXXX355]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50375": {
+      "content": "[XXXXX450]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50376": {
+      "content": "[XXXXX642]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50377": {
+      "content": "[XXXXX162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50378": {
+      "content": "[XXXXX394]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50379": {
+      "content": "[XXXXX296]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50380": {
+      "content": "[XXXXX536]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50381": {
+      "content": "[XXXXX560]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50382": {
+      "content": "[XXXXX373]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50383": {
+      "content": "[XXXXX674]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50384": {
+      "content": "[XXXXX1099]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50385": {
+      "content": "[XXXXX797]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50386": {
+      "content": "[XXXXX516]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50387": {
+      "content": "[XXXXX41]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50388": {
+      "content": "[XXXXX594]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50389": {
+      "content": "[XXXXX319]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50390": {
+      "content": "[XXXXX165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50391": {
+      "content": "[XXXXX344]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50392": {
+      "content": "[XXXXX1012]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50393": {
+      "content": "[XXXXX942]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50394": {
+      "content": "[XXXXX1071]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50395": {
+      "content": "[XXXXX648]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50396": {
+      "content": "[XXXXX4]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50397": {
+      "content": "[XXXXX633]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50398": {
+      "content": "[XXXXX551]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50399": {
+      "content": "[XXXXX586]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50400": {
+      "content": "[XXXXX578]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50401": {
+      "content": "[XXXXX348]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50402": {
+      "content": "[XXXXX614]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50403": {
+      "content": "[XXXXX33]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50404": {
+      "content": "[XXXXX1193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50405": {
+      "content": "[XXXXX737]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50406": {
+      "content": "[XXXXX233]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50407": {
+      "content": "[XXXXX933]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50408": {
+      "content": "[XXXXX781]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50409": {
+      "content": "[XXXXX189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50410": {
+      "content": "[XXXXX1006]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50411": {
+      "content": "[XXXXX219]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50412": {
+      "content": "[XXXXX454]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50413": {
+      "content": "[XXXXX449]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50414": {
+      "content": "[XXXXX697]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50415": {
+      "content": "[XXXXX724]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50416": {
+      "content": "[XXXXX224]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50417": {
+      "content": "[XXXXX1157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50418": {
+      "content": "[XXXXX455]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50419": {
+      "content": "[XXXXX505]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50420": {
+      "content": "[XXXXX96]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50421": {
+      "content": "[XXXXX182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50422": {
+      "content": "[XXXXX424]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50423": {
+      "content": "[XXXXX872]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50424": {
+      "content": "[XXXXX1163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50425": {
+      "content": "[XXXXX1081]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50426": {
+      "content": "[XXXXX1173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50427": {
+      "content": "[XXXXX172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50428": {
+      "content": "[XXXXX507]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50429": {
+      "content": "[XXXXX920]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50430": {
+      "content": "[XXXXX1126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50431": {
+      "content": "[XXXXX474]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50432": {
+      "content": "[XXXXX971]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50433": {
+      "content": "[XXXXX1049]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50434": {
+      "content": "[XXXXX1114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50435": {
+      "content": "[XXXXX1040]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50436": {
+      "content": "[XXXXX79]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50437": {
+      "content": "[XXXXX36]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50438": {
+      "content": "[XXXXX977]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50439": {
+      "content": "[XXXXX1129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50440": {
+      "content": "[XXXXX1063]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50441": {
+      "content": "[XXXXX773]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50442": {
+      "content": "[XXXXX16]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50443": {
+      "content": "[XXXXX113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50444": {
+      "content": "[XXXXX320]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50445": {
+      "content": "[XXXXX167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50446": {
+      "content": "[XXXXX751]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50447": {
+      "content": "[XXXXX656]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50448": {
+      "content": "[XXXXX543]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50449": {
+      "content": "[XXXXX828]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50450": {
+      "content": "[XXXXX915]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50451": {
+      "content": "[XXXXX1098]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50452": {
+      "content": "[XXXXX569]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50453": {
+      "content": "[XXXXX1166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50454": {
+      "content": "[XXXXX846]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50455": {
+      "content": "[XXXXX324]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50456": {
+      "content": "[XXXXX802]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50457": {
+      "content": "[XXXXX588]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50458": {
+      "content": "[XXXXX739]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50459": {
+      "content": "[XXXXX50]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50460": {
+      "content": "[XXXXX882]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50461": {
+      "content": "[XXXXX1054]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50462": {
+      "content": "[XXXXX621]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50463": {
+      "content": "[XXXXX585]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50464": {
+      "content": "[XXXXX121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50465": {
+      "content": "[XXXXX647]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50466": {
+      "content": "[XXXXX767]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50467": {
+      "content": "[XXXXX645]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50468": {
+      "content": "[XXXXX27]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50469": {
+      "content": "[XXXXX907]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50470": {
+      "content": "[XXXXX1109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50471": {
+      "content": "[XXXXX1147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50472": {
+      "content": "[XXXXX501]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50473": {
+      "content": "[XXXXX1164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50474": {
+      "content": "[XXXXX650]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50475": {
+      "content": "[XXXXX329]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50476": {
+      "content": "[XXXXX659]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50477": {
+      "content": "[XXXXX1158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50478": {
+      "content": "[XXXXX104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50479": {
+      "content": "[XXXXX629]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50480": {
+      "content": "[XXXXX868]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50481": {
+      "content": "[XXXXX779]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50482": {
+      "content": "[XXXXX17]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50483": {
+      "content": "[XXXXX377]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50484": {
+      "content": "[XXXXX467]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50485": {
+      "content": "[XXXXX917]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50486": {
+      "content": "[XXXXX830]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50487": {
+      "content": "[XXXXX533]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50488": {
+      "content": "[XXXXX862]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50489": {
+      "content": "[XXXXX1041]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50490": {
+      "content": "[XXXXX542]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50491": {
+      "content": "[XXXXX595]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50492": {
+      "content": "[XXXXX353]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50493": {
+      "content": "[XXXXX181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50494": {
+      "content": "[XXXXX662]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50495": {
+      "content": "[XXXXX1195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50496": {
+      "content": "[XXXXX435]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50497": {
+      "content": "[XXXXX1051]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50498": {
+      "content": "[XXXXX703]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50499": {
+      "content": "[XXXXX1140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50500": {
+      "content": "[XXXXX750]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50501": {
+      "content": "[XXXXX57]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50502": {
+      "content": "[XXXXX75]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50503": {
+      "content": "[XXXXX293]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50504": {
+      "content": "[XXXXX681]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50505": {
+      "content": "[XXXXX46]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50506": {
+      "content": "[XXXXX30]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50507": {
+      "content": "[XXXXX402]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50508": {
+      "content": "[XXXXX803]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50509": {
+      "content": "[XXXXX821]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50510": {
+      "content": "[XXXXX871]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50511": {
+      "content": "[XXXXX980]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50512": {
+      "content": "[XXXXX990]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50513": {
+      "content": "[XXXXX626]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50514": {
+      "content": "[XXXXX90]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50515": {
+      "content": "[XXXXX77]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50516": {
+      "content": "[XXXXX819]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50517": {
+      "content": "[XXXXX436]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50518": {
+      "content": "[XXXXX306]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50519": {
+      "content": "[XXXXX434]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50520": {
+      "content": "[XXXXX88]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50521": {
+      "content": "[XXXXX184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50522": {
+      "content": "[XXXXX290]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50523": {
+      "content": "[XXXXX216]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50524": {
+      "content": "[XXXXX176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50525": {
+      "content": "[XXXXX747]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50526": {
+      "content": "[XXXXX938]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50527": {
+      "content": "[XXXXX442]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50528": {
+      "content": "[XXXXX301]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50529": {
+      "content": "[XXXXX1015]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50530": {
+      "content": "[XXXXX520]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50531": {
+      "content": "[XXXXX829]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50532": {
+      "content": "[XXXXX106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50533": {
+      "content": "[XXXXX1048]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50534": {
+      "content": "[XXXXX923]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50535": {
+      "content": "[XXXXX958]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50536": {
+      "content": "[XXXXX1130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50537": {
+      "content": "[XXXXX89]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50538": {
+      "content": "[XXXXX548]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50539": {
+      "content": "[XXXXX863]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50540": {
+      "content": "[XXXXX444]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50541": {
+      "content": "[XXXXX1149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50542": {
+      "content": "[XXXXX866]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50543": {
+      "content": "[XXXXX109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50544": {
+      "content": "[XXXXX550]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50545": {
+      "content": "[XXXXX727]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50546": {
+      "content": "[XXXXX646]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50547": {
+      "content": "[XXXXX702]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50548": {
+      "content": "[XXXXX204]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50549": {
+      "content": "[XXXXX1000]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50550": {
+      "content": "[XXXXX591]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50551": {
+      "content": "[XXXXX1128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50552": {
+      "content": "[XXXXX937]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50553": {
+      "content": "[XXXXX141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50554": {
+      "content": "[XXXXX273]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50555": {
+      "content": "[XXXXX1183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50556": {
+      "content": "[XXXXX765]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50557": {
+      "content": "[XXXXX371]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50558": {
+      "content": "[XXXXX256]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50559": {
+      "content": "[XXXXX964]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50560": {
+      "content": "[XXXXX1148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50561": {
+      "content": "[XXXXX930]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50562": {
+      "content": "[XXXXX212]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50563": {
+      "content": "[XXXXX133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50564": {
+      "content": "[XXXXX608]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50565": {
+      "content": "[XXXXX281]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50566": {
+      "content": "[XXXXX1045]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50567": {
+      "content": "[XXXXX928]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50568": {
+      "content": "[XXXXX1154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50569": {
+      "content": "[XXXXX334]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50570": {
+      "content": "[XXXXX861]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50571": {
+      "content": "[XXXXX87]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50572": {
+      "content": "[XXXXX941]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50573": {
+      "content": "[XXXXX359]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50574": {
+      "content": "[XXXXX55]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50575": {
+      "content": "[XXXXX842]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50576": {
+      "content": "[XXXXX427]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50577": {
+      "content": "[XXXXX491]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50578": {
+      "content": "[XXXXX137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50579": {
+      "content": "[XXXXX47]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50580": {
+      "content": "[XXXXX511]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50581": {
+      "content": "[XXXXX81]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50582": {
+      "content": "[XXXXX139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50583": {
+      "content": "[XXXXX226]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50584": {
+      "content": "[XXXXX563]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50585": {
+      "content": "[XXXXX708]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50586": {
+      "content": "[XXXXX820]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50587": {
+      "content": "[XXXXX65]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50588": {
+      "content": "[XXXXX381]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50589": {
+      "content": "[XXXXX22]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50590": {
+      "content": "[XXXXX1064]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50591": {
+      "content": "[XXXXX874]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50592": {
+      "content": "[XXXXX944]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50593": {
+      "content": "[XXXXX6]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50594": {
+      "content": "[XXXXX313]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50595": {
+      "content": "[XXXXX471]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50596": {
+      "content": "[XXXXX1118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50597": {
+      "content": "[XXXXX849]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50598": {
+      "content": "[XXXXX483]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50599": {
+      "content": "[XXXXX713]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50600": {
+      "content": "[XXXXX222]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50601": {
+      "content": "[XXXXX640]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50602": {
+      "content": "[XXXXX12]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50603": {
+      "content": "[XXXXX285]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50604": {
+      "content": "[XXXXX327]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50605": {
+      "content": "[XXXXX378]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50606": {
+      "content": "[XXXXX790]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50607": {
+      "content": "[XXXXX1179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50608": {
+      "content": "[XXXXX15]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50609": {
+      "content": "[XXXXX229]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50610": {
+      "content": "[XXXXX771]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50611": {
+      "content": "[XXXXX559]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50612": {
+      "content": "[XXXXX253]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50613": {
+      "content": "[XXXXX644]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50614": {
+      "content": "[XXXXX811]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50615": {
+      "content": "[XXXXX554]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50616": {
+      "content": "[XXXXX744]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50617": {
+      "content": "[XXXXX786]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50618": {
+      "content": "[XXXXX913]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50619": {
+      "content": "[XXXXX966]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50620": {
+      "content": "[XXXXX972]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50621": {
+      "content": "[XXXXX664]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50622": {
+      "content": "[XXXXX1131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50623": {
+      "content": "[XXXXX1132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50624": {
+      "content": "[XXXXX376]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50625": {
+      "content": "[XXXXX672]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50626": {
+      "content": "[XXXXX1013]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50627": {
+      "content": "[XXXXX328]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50628": {
+      "content": "[XXXXX889]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50629": {
+      "content": "[XXXXX1141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50630": {
+      "content": "[XXXXX429]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50631": {
+      "content": "[XXXXX114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50632": {
+      "content": "[XXXXX523]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50633": {
+      "content": "[XXXXX833]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50634": {
+      "content": "[XXXXX927]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50635": {
+      "content": "[XXXXX297]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50636": {
+      "content": "[XXXXX812]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50637": {
+      "content": "[XXXXX1062]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50638": {
+      "content": "[XXXXX152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50639": {
+      "content": "[XXXXX1010]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50640": {
+      "content": "[XXXXX690]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50641": {
+      "content": "[XXXXX363]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50642": {
+      "content": "[XXXXX1103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50643": {
+      "content": "[XXXXX194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50644": {
+      "content": "[XXXXX844]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50645": {
+      "content": "[XXXXX667]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50646": {
+      "content": "[XXXXX720]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50647": {
+      "content": "[XXXXX770]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50648": {
+      "content": "[XXXXX515]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50649": {
+      "content": "[XXXXX196]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50650": {
+      "content": "[XXXXX283]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50651": {
+      "content": "[XXXXX95]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50652": {
+      "content": "[XXXXX528]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50653": {
+      "content": "[XXXXX749]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50654": {
+      "content": "[XXXXX934]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50655": {
+      "content": "[XXXXX1052]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50656": {
+      "content": "[XXXXX1188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50657": {
+      "content": "[XXXXX1001]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50658": {
+      "content": "[XXXXX785]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50659": {
+      "content": "[XXXXX393]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50660": {
+      "content": "[XXXXX502]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50661": {
+      "content": "[XXXXX404]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50662": {
+      "content": "[XXXXX129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50663": {
+      "content": "[XXXXX643]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50664": {
+      "content": "[XXXXX1086]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50665": {
+      "content": "[XXXXX1104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50666": {
+      "content": "[XXXXX326]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50667": {
+      "content": "[XXXXX330]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50668": {
+      "content": "[XXXXX620]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50669": {
+      "content": "[XXXXX193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50670": {
+      "content": "[XXXXX470]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50671": {
+      "content": "[XXXXX279]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50672": {
+      "content": "[XXXXX97]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50673": {
+      "content": "[XXXXX177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50674": {
+      "content": "[XXXXX510]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50675": {
+      "content": "[XXXXX225]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50676": {
+      "content": "[XXXXX572]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50677": {
+      "content": "[XXXXX777]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50678": {
+      "content": "[XXXXX1135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50679": {
+      "content": "[XXXXX1160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50680": {
+      "content": "[XXXXX558]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50681": {
+      "content": "[XXXXX416]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50682": {
+      "content": "[XXXXX246]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50683": {
+      "content": "[XXXXX799]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50684": {
+      "content": "[XXXXX153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50685": {
+      "content": "[XXXXX671]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50686": {
+      "content": "[XXXXX809]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50687": {
+      "content": "[XXXXX525]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50688": {
+      "content": "[XXXXX1004]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50689": {
+      "content": "[XXXXX1005]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50690": {
+      "content": "[XXXXX1194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50691": {
+      "content": "[XXXXX408]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50692": {
+      "content": "[XXXXX492]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50693": {
+      "content": "[XXXXX973]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50694": {
+      "content": "[XXXXX242]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50695": {
+      "content": "[XXXXX357]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50696": {
+      "content": "[XXXXX851]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50697": {
+      "content": "[XXXXX999]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50698": {
+      "content": "[XXXXX969]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50699": {
+      "content": "[XXXXX453]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50700": {
+      "content": "[XXXXX730]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50701": {
+      "content": "[XXXXX54]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50702": {
+      "content": "[XXXXX480]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50703": {
+      "content": "[XXXXX564]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50704": {
+      "content": "[XXXXX600]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50705": {
+      "content": "[XXXXX654]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50706": {
+      "content": "[XXXXX37]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50707": {
+      "content": "[XXXXX605]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50708": {
+      "content": "[XXXXX164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50709": {
+      "content": "[XXXXX395]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50710": {
+      "content": "[XXXXX401]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50711": {
+      "content": "[XXXXX446]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50712": {
+      "content": "[XXXXX658]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50713": {
+      "content": "[XXXXX60]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50714": {
+      "content": "[XXXXX107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50715": {
+      "content": "[XXXXX131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50716": {
+      "content": "[XXXXX387]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50717": {
+      "content": "[XXXXX67]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50718": {
+      "content": "[XXXXX743]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50719": {
+      "content": "[XXXXX657]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50720": {
+      "content": "[XXXXX418]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50721": {
+      "content": "[XXXXX787]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50722": {
+      "content": "[XXXXX838]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50723": {
+      "content": "[XXXXX298]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50724": {
+      "content": "[XXXXX1007]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50725": {
+      "content": "[XXXXX1027]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50726": {
+      "content": "[XXXXX1078]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50727": {
+      "content": "[XXXXX651]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50728": {
+      "content": "[XXXXX875]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50729": {
+      "content": "[XXXXX258]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50730": {
+      "content": "[XXXXX413]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50731": {
+      "content": "[XXXXX1092]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50732": {
+      "content": "[XXXXX124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50733": {
+      "content": "[XXXXX308]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50734": {
+      "content": "[XXXXX1085]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50735": {
+      "content": "[XXXXX1170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50736": {
+      "content": "[XXXXX38]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50737": {
+      "content": "[XXXXX438]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50738": {
+      "content": "[XXXXX475]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50739": {
+      "content": "[XXXXX900]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50740": {
+      "content": "[XXXXX263]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50741": {
+      "content": "[XXXXX166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50742": {
+      "content": "[XXXXX698]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50743": {
+      "content": "[XXXXX1127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50744": {
+      "content": "[XXXXX1181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50745": {
+      "content": "[XXXXX763]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50746": {
+      "content": "[XXXXX627]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50747": {
+      "content": "[XXXXX250]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50748": {
+      "content": "[XXXXX757]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50749": {
+      "content": "[XXXXX142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50750": {
+      "content": "[XXXXX794]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50751": {
+      "content": "[XXXXX128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50752": {
+      "content": "[XXXXX35]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50753": {
+      "content": "[XXXXX482]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50754": {
+      "content": "[XXXXX834]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50755": {
+      "content": "[XXXXX679]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50756": {
+      "content": "[XXXXX839]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50757": {
+      "content": "[XXXXX138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50758": {
+      "content": "[XXXXX1066]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50759": {
+      "content": "[XXXXX116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50760": {
+      "content": "[XXXXX317]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50761": {
+      "content": "[XXXXX490]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50762": {
+      "content": "[XXXXX443]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50763": {
+      "content": "[XXXXX879]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50764": {
+      "content": "[XXXXX1101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50765": {
+      "content": "[XXXXX711]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50766": {
+      "content": "[XXXXX123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50767": {
+      "content": "[XXXXX1152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50768": {
+      "content": "[XXXXX692]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50769": {
+      "content": "[XXXXX555]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50770": {
+      "content": "[XXXXX266]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50771": {
+      "content": "[XXXXX0]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50772": {
+      "content": "[XXXXX332]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50773": {
+      "content": "[XXXXX497]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50774": {
+      "content": "[XXXXX904]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50775": {
+      "content": "[XXXXX1019]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50776": {
+      "content": "[XXXXX709]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50777": {
+      "content": "[XXXXX351]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50778": {
+      "content": "[XXXXX764]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50779": {
+      "content": "[XXXXX625]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50780": {
+      "content": "[XXXXX798]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50781": {
+      "content": "[XXXXX205]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50782": {
+      "content": "[XXXXX922]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50783": {
+      "content": "[XXXXX1075]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50784": {
+      "content": "[XXXXX8]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50785": {
+      "content": "[XXXXX422]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50786": {
+      "content": "[XXXXX638]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50787": {
+      "content": "[XXXXX98]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50788": {
+      "content": "[XXXXX814]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50789": {
+      "content": "[XXXXX1057]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50790": {
+      "content": "[XXXXX1070]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50791": {
+      "content": "[XXXXX411]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50792": {
+      "content": "[XXXXX768]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50793": {
+      "content": "[XXXXX1165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50794": {
+      "content": "[XXXXX888]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50795": {
+      "content": "[XXXXX636]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50796": {
+      "content": "[XXXXX1047]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50797": {
+      "content": "[XXXXX960]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50798": {
+      "content": "[XXXXX910]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50799": {
+      "content": "[XXXXX42]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50800": {
+      "content": "[XXXXX238]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50801": {
+      "content": "[XXXXX383]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50802": {
+      "content": "[XXXXX1032]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50803": {
+      "content": "[XXXXX577]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50804": {
+      "content": "[XXXXX268]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50805": {
+      "content": "[XXXXX179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50806": {
+      "content": "[XXXXX1076]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50807": {
+      "content": "[XXXXX1167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50808": {
+      "content": "[XXXXX1172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50809": {
+      "content": "[XXXXX665]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50810": {
+      "content": "[XXXXX126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50811": {
+      "content": "[XXXXX347]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50812": {
+      "content": "[XXXXX544]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50813": {
+      "content": "[XXXXX1026]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50814": {
+      "content": "[XXXXX159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50815": {
+      "content": "[XXXXX503]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50816": {
+      "content": "[XXXXX583]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50817": {
+      "content": "[XXXXX668]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50818": {
+      "content": "[XXXXX1115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50819": {
+      "content": "[XXXXX112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50820": {
+      "content": "[XXXXX154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50821": {
+      "content": "[XXXXX761]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50822": {
+      "content": "[XXXXX540]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50823": {
+      "content": "[XXXXX755]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50824": {
+      "content": "[XXXXX255]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50825": {
+      "content": "[XXXXX459]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50826": {
+      "content": "[XXXXX1090]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50827": {
+      "content": "[XXXXX689]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50828": {
+      "content": "[XXXXX589]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50829": {
+      "content": "[XXXXX122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50830": {
+      "content": "[XXXXX789]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50831": {
+      "content": "[XXXXX481]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50832": {
+      "content": "[XXXXX1044]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50833": {
+      "content": "[XXXXX274]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50834": {
+      "content": "[XXXXX957]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50835": {
+      "content": "[XXXXX1121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50836": {
+      "content": "[XXXXX464]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50837": {
+      "content": "[XXXXX495]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50838": {
+      "content": "[XXXXX1097]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50839": {
+      "content": "[XXXXX581]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50840": {
+      "content": "[XXXXX200]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50841": {
+      "content": "[XXXXX954]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50842": {
+      "content": "[XXXXX48]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50843": {
+      "content": "[XXXXX855]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50844": {
+      "content": "[XXXXX419]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50845": {
+      "content": "[XXXXX919]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50846": {
+      "content": "[XXXXX451]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50847": {
+      "content": "[XXXXX869]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50848": {
+      "content": "[XXXXX1082]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50849": {
+      "content": "[XXXXX1185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50850": {
+      "content": "[XXXXX859]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50851": {
+      "content": "[XXXXX1139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50852": {
+      "content": "[XXXXX1072]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50853": {
+      "content": "[XXXXX220]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50854": {
+      "content": "[XXXXX465]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50855": {
+      "content": "[XXXXX1105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50856": {
+      "content": "[XXXXX1093]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50857": {
+      "content": "[XXXXX953]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50858": {
+      "content": "[XXXXX1187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50859": {
+      "content": "[XXXXX311]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50860": {
+      "content": "[XXXXX403]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50861": {
+      "content": "[XXXXX684]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50862": {
+      "content": "[XXXXX426]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50863": {
+      "content": "[XXXXX68]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50864": {
+      "content": "[XXXXX277]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50865": {
+      "content": "[XXXXX437]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50866": {
+      "content": "[XXXXX896]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50867": {
+      "content": "[XXXXX899]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50868": {
+      "content": "[XXXXX878]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50869": {
+      "content": "[XXXXX1073]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50870": {
+      "content": "[XXXXX774]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50871": {
+      "content": "[XXXXX315]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50872": {
+      "content": "[XXXXX631]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50873": {
+      "content": "[XXXXX223]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50874": {
+      "content": "[XXXXX86]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50875": {
+      "content": "[XXXXX607]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50876": {
+      "content": "[XXXXX149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50877": {
+      "content": "[XXXXX566]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50878": {
+      "content": "[XXXXX740]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50879": {
+      "content": "[XXXXX265]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50880": {
+      "content": "[XXXXX399]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50881": {
+      "content": "[XXXXX1053]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50882": {
+      "content": "[XXXXX1077]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50883": {
+      "content": "[XXXXX336]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50884": {
+      "content": "[XXXXX734]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50885": {
+      "content": "[XXXXX289]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50886": {
+      "content": "[XXXXX221]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50887": {
+      "content": "[XXXXX580]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50888": {
+      "content": "[XXXXX406]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50889": {
+      "content": "[XXXXX854]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50890": {
+      "content": "[XXXXX673]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50891": {
+      "content": "[XXXXX1146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50892": {
+      "content": "[XXXXX29]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50893": {
+      "content": "[XXXXX496]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50894": {
+      "content": "[XXXXX241]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50895": {
+      "content": "[XXXXX929]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50896": {
+      "content": "[XXXXX169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50897": {
+      "content": "[XXXXX1153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50898": {
+      "content": "[XXXXX440]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50899": {
+      "content": "[XXXXX385]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50900": {
+      "content": "[XXXXX499]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50901": {
+      "content": "[XXXXX718]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50902": {
+      "content": "[XXXXX848]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50903": {
+      "content": "[XXXXX877]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50904": {
+      "content": "[XXXXX641]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50905": {
+      "content": "[XXXXX1137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50906": {
+      "content": "[XXXXX269]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50907": {
+      "content": "[XXXXX521]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50908": {
+      "content": "[XXXXX234]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50909": {
+      "content": "[XXXXX987]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50910": {
+      "content": "[XXXXX741]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50911": {
+      "content": "[XXXXX349]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50912": {
+      "content": "[XXXXX93]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50913": {
+      "content": "[XXXXX247]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50914": {
+      "content": "[XXXXX961]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50915": {
+      "content": "[XXXXX1120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50916": {
+      "content": "[XXXXX369]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50917": {
+      "content": "[XXXXX479]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50918": {
+      "content": "[XXXXX892]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50919": {
+      "content": "[XXXXX553]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50920": {
+      "content": "[XXXXX906]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50921": {
+      "content": "[XXXXX571]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50922": {
+      "content": "[XXXXX1046]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50923": {
+      "content": "[XXXXX206]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50924": {
+      "content": "[XXXXX488]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50925": {
+      "content": "[XXXXX445]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50926": {
+      "content": "[XXXXX524]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50927": {
+      "content": "[XXXXX228]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50928": {
+      "content": "[XXXXX998]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50929": {
+      "content": "[XXXXX675]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50930": {
+      "content": "[XXXXX732]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50931": {
+      "content": "[XXXXX1028]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50932": {
+      "content": "[XXXXX494]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50933": {
+      "content": "[XXXXX965]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50934": {
+      "content": "[XXXXX1021]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50935": {
+      "content": "[XXXXX726]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50936": {
+      "content": "[XXXXX168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50937": {
+      "content": "[XXXXX606]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50938": {
+      "content": "[XXXXX974]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50939": {
+      "content": "[XXXXX504]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50940": {
+      "content": "[XXXXX556]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50941": {
+      "content": "[XXXXX1159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50942": {
+      "content": "[XXXXX417]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50943": {
+      "content": "[XXXXX1175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50944": {
+      "content": "[XXXXX1142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50945": {
+      "content": "[XXXXX753]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50946": {
+      "content": "[XXXXX824]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50947": {
+      "content": "[XXXXX251]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50948": {
+      "content": "[XXXXX345]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50949": {
+      "content": "[XXXXX610]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50950": {
+      "content": "[XXXXX276]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50951": {
+      "content": "[XXXXX783]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50952": {
+      "content": "[XXXXX74]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50953": {
+      "content": "[XXXXX1050]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50954": {
+      "content": "[XXXXX71]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50955": {
+      "content": "[XXXXX360]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50956": {
+      "content": "[XXXXX512]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50957": {
+      "content": "[XXXXX341]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50958": {
+      "content": "[XXXXX375]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50959": {
+      "content": "[XXXXX637]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50960": {
+      "content": "[XXXXX1116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50961": {
+      "content": "[XXXXX9]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50962": {
+      "content": "[XXXXX738]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50963": {
+      "content": "[XXXXX856]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50964": {
+      "content": "[XXXXX979]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50965": {
+      "content": "[XXXXX825]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50966": {
+      "content": "[XXXXX852]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50967": {
+      "content": "[XXXXX215]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50968": {
+      "content": "[XXXXX91]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50969": {
+      "content": "[XXXXX257]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50970": {
+      "content": "[XXXXX325]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50971": {
+      "content": "[XXXXX368]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50972": {
+      "content": "[XXXXX1124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50973": {
+      "content": "[XXXXX188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50974": {
+      "content": "[XXXXX905]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50975": {
+      "content": "[XXXXX284]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50976": {
+      "content": "[XXXXX11]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50977": {
+      "content": "[XXXXX83]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50978": {
+      "content": "[XXXXX611]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50979": {
+      "content": "[XXXXX51]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50980": {
+      "content": "[XXXXX99]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50981": {
+      "content": "[XXXXX288]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50982": {
+      "content": "[XXXXX945]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50983": {
+      "content": "[XXXXX975]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50984": {
+      "content": "[XXXXX282]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50985": {
+      "content": "[XXXXX1068]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50986": {
+      "content": "[XXXXX1180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50987": {
+      "content": "[XXXXX574]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50988": {
+      "content": "[XXXXX305]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50989": {
+      "content": "[XXXXX565]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50990": {
+      "content": "[XXXXX865]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50991": {
+      "content": "[XXXXX1014]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50992": {
+      "content": "[XXXXX1138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50993": {
+      "content": "[XXXXX134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50994": {
+      "content": "[XXXXX321]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50995": {
+      "content": "[XXXXX752]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50996": {
+      "content": "[XXXXX108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50997": {
+      "content": "[XXXXX339]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50998": {
+      "content": "[XXXXX893]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50999": {
+      "content": "[XXXXX1177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51000": {
+      "content": "[XXXXX988]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51001": {
+      "content": "[XXXXX719]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51002": {
+      "content": "[XXXXX1059]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51003": {
+      "content": "[XXXXX421]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51004": {
+      "content": "[XXXXX670]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51005": {
+      "content": "[XXXXX949]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51006": {
+      "content": "[XXXXX14]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51007": {
+      "content": "[XXXXX1087]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51008": {
+      "content": "[XXXXX382]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51009": {
+      "content": "[XXXXX531]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51010": {
+      "content": "[XXXXX1079]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51011": {
+      "content": "[XXXXX1067]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51012": {
+      "content": "[XXXXX655]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51013": {
+      "content": "[XXXXX340]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51014": {
+      "content": "[XXXXX398]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51015": {
+      "content": "[XXXXX175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51016": {
+      "content": "[XXXXX232]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51017": {
+      "content": "[XXXXX244]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51018": {
+      "content": "[XXXXX568]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51019": {
+      "content": "[XXXXX1110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51020": {
+      "content": "[XXXXX191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51021": {
+      "content": "[XXXXX931]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51022": {
+      "content": "[XXXXX832]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51023": {
+      "content": "[XXXXX1030]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51024": {
+      "content": "[XXXXX144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51025": {
+      "content": "[XXXXX1102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51026": {
+      "content": "[XXXXX300]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51027": {
+      "content": "[XXXXX996]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51028": {
+      "content": "[XXXXX248]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51029": {
+      "content": "[XXXXX66]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51030": {
+      "content": "[XXXXX735]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51031": {
+      "content": "[XXXXX20]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51032": {
+      "content": "[XXXXX694]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51033": {
+      "content": "[XXXXX845]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51034": {
+      "content": "[XXXXX500]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51035": {
+      "content": "[XXXXX613]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51036": {
+      "content": "[XXXXX117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51037": {
+      "content": "[XXXXX886]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51038": {
+      "content": "[XXXXX261]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51039": {
+      "content": "[XXXXX567]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51040": {
+      "content": "[XXXXX541]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51041": {
+      "content": "[XXXXX529]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51042": {
+      "content": "[XXXXX699]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51043": {
+      "content": "[XXXXX715]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51044": {
+      "content": "[XXXXX1003]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51045": {
+      "content": "[XXXXX518]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51046": {
+      "content": "[XXXXX891]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51047": {
+      "content": "[XXXXX192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51048": {
+      "content": "[XXXXX53]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51049": {
+      "content": "[XXXXX428]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51050": {
+      "content": "[XXXXX183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51051": {
+      "content": "[XXXXX850]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51052": {
+      "content": "[XXXXX539]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51053": {
+      "content": "[XXXXX527]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51054": {
+      "content": "[XXXXX660]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51055": {
+      "content": "[XXXXX409]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51056": {
+      "content": "[XXXXX1122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51057": {
+      "content": "[XXXXX898]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51058": {
+      "content": "[XXXXX858]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51059": {
+      "content": "[XXXXX534]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51060": {
+      "content": "[XXXXX756]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51061": {
+      "content": "[XXXXX63]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51062": {
+      "content": "[XXXXX49]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51063": {
+      "content": "[XXXXX1106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51064": {
+      "content": "[XXXXX111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51065": {
+      "content": "[XXXXX955]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51066": {
+      "content": "[XXXXX309]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51067": {
+      "content": "[XXXXX538]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51068": {
+      "content": "[XXXXX823]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51069": {
+      "content": "[XXXXX867]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51070": {
+      "content": "[XXXXX587]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51071": {
+      "content": "[XXXXX243]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51072": {
+      "content": "[XXXXX677]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51073": {
+      "content": "[XXXXX1017]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51074": {
+      "content": "[XXXXX173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51075": {
+      "content": "[XXXXX682]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51076": {
+      "content": "[XXXXX1184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51077": {
+      "content": "[XXXXX1009]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51078": {
+      "content": "[XXXXX704]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51079": {
+      "content": "[XXXXX532]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51080": {
+      "content": "[XXXXX901]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51081": {
+      "content": "[XXXXX120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51082": {
+      "content": "[XXXXX388]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51083": {
+      "content": "[XXXXX405]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51084": {
+      "content": "[XXXXX788]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51085": {
+      "content": "[XXXXX728]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51086": {
+      "content": "[XXXXX425]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51087": {
+      "content": "[XXXXX883]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51088": {
+      "content": "[XXXXX837]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51089": {
+      "content": "[XXXXX350]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51090": {
+      "content": "[XXXXX716]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51091": {
+      "content": "[XXXXX579]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51092": {
+      "content": "[XXXXX909]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51093": {
+      "content": "[XXXXX884]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51094": {
+      "content": "[XXXXX1011]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51095": {
+      "content": "[XXXXX372]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51096": {
+      "content": "[XXXXX370]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51097": {
+      "content": "[XXXXX468]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51098": {
+      "content": "[XXXXX688]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51099": {
+      "content": "[XXXXX56]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51100": {
+      "content": "[XXXXX653]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51101": {
+      "content": "[XXXXX623]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51102": {
+      "content": "[XXXXX552]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51103": {
+      "content": "[XXXXX314]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51104": {
+      "content": "[XXXXX1018]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51105": {
+      "content": "[XXXXX1091]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51106": {
+      "content": "[XXXXX342]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51107": {
+      "content": "[XXXXX1065]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51108": {
+      "content": "[XXXXX1161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51109": {
+      "content": "[XXXXX959]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51110": {
+      "content": "[XXXXX1035]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51111": {
+      "content": "[XXXXX530]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51112": {
+      "content": "[XXXXX69]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51113": {
+      "content": "[XXXXX489]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51114": {
+      "content": "[XXXXX1]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51115": {
+      "content": "[XXXXX207]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51116": {
+      "content": "[XXXXX433]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51117": {
+      "content": "[XXXXX358]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51118": {
+      "content": "[XXXXX601]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51119": {
+      "content": "[XXXXX2]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51120": {
+      "content": "[XXXXX722]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51121": {
+      "content": "[XXXXX985]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51122": {
+      "content": "[XXXXX908]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51123": {
+      "content": "[XXXXX1024]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51124": {
+      "content": "[XXXXX1111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51125": {
+      "content": "[XXXXX1113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51126": {
+      "content": "[XXXXX678]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51127": {
+      "content": "[XXXXX19]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51128": {
+      "content": "[XXXXX1186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51129": {
+      "content": "[XXXXX808]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51130": {
+      "content": "[XXXXX493]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51131": {
+      "content": "[XXXXX1155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51132": {
+      "content": "[XXXXX217]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51133": {
+      "content": "[XXXXX616]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51134": {
+      "content": "[XXXXX835]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51135": {
+      "content": "[XXXXX994]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51136": {
+      "content": "[XXXXX484]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51137": {
+      "content": "[XXXXX362]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51138": {
+      "content": "[XXXXX582]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51139": {
+      "content": "[XXXXX1034]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51140": {
+      "content": "[XXXXX772]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51141": {
+      "content": "[XXXXX457]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51142": {
+      "content": "[XXXXX604]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51143": {
+      "content": "[XXXXX456]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51144": {
+      "content": "[XXXXX145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51145": {
+      "content": "[XXXXX476]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51146": {
+      "content": "[XXXXX218]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51147": {
+      "content": "[XXXXX199]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51148": {
+      "content": "[XXXXX364]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51149": {
+      "content": "[XXXXX302]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51150": {
+      "content": "[XXXXX881]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51151": {
+      "content": "[XXXXX1088]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51152": {
+      "content": "[XXXXX356]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51153": {
+      "content": "[XXXXX936]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51154": {
+      "content": "[XXXXX978]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51155": {
+      "content": "[XXXXX895]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51156": {
+      "content": "[XXXXX993]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51157": {
+      "content": "[XXXXX458]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51158": {
+      "content": "[XXXXX1002]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51159": {
+      "content": "[XXXXX1022]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51160": {
+      "content": "[XXXXX25]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51161": {
+      "content": "[XXXXX766]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51162": {
+      "content": "[XXXXX64]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51163": {
+      "content": "[XXXXX211]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51164": {
+      "content": "[XXXXX82]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51165": {
+      "content": "[XXXXX634]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51166": {
+      "content": "[XXXXX661]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51167": {
+      "content": "[XXXXX748]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51168": {
+      "content": "[XXXXX778]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51169": {
+      "content": "[XXXXX24]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51170": {
+      "content": "[XXXXX448]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51171": {
+      "content": "[XXXXX887]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51172": {
+      "content": "[XXXXX890]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51173": {
+      "content": "[XXXXX754]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51174": {
+      "content": "[XXXXX343]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51175": {
+      "content": "[XXXXX1069]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51176": {
+      "content": "[XXXXX294]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51177": {
+      "content": "[XXXXX295]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51178": {
+      "content": "[XXXXX197]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51179": {
+      "content": "[XXXXX210]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51180": {
+      "content": "[XXXXX630]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51181": {
+      "content": "[XXXXX707]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51182": {
+      "content": "[XXXXX864]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51183": {
+      "content": "[XXXXX391]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51184": {
+      "content": "[XXXXX338]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51185": {
+      "content": "[XXXXX800]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51186": {
+      "content": "[XXXXX841]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51187": {
+      "content": "[XXXXX967]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51188": {
+      "content": "[XXXXX793]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51189": {
+      "content": "[XXXXX916]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51190": {
+      "content": "[XXXXX603]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51191": {
+      "content": "[XXXXX270]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51192": {
+      "content": "[XXXXX105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51193": {
+      "content": "[XXXXX1016]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51194": {
+      "content": "[XXXXX804]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51195": {
+      "content": "[XXXXX264]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51196": {
+      "content": "[XXXXX155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51197": {
+      "content": "[XXXXX1190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51198": {
+      "content": "[XXXXX813]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51199": {
+      "content": "[XXXXX546]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "keep_accents": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}
diff --git a/checkpoint-10000/trainer_state.json b/checkpoint-10000/trainer_state.json
new file mode 100644
index 0000000..9bfad08
--- /dev/null
+++ b/checkpoint-10000/trainer_state.json
@@ -0,0 +1,20254 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 8.285004142502071,
+  "eval_steps": 500,
+  "global_step": 10000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "entropy": 7.218191003799438,
+      "epoch": 0.004142502071251036,
+      "grad_norm": 1.265625,
+      "learning_rate": 2e-06,
+      "loss": 6.8898,
+      "mean_token_accuracy": 0.08805170804262161,
+      "num_tokens": 9149.0,
+      "step": 5
+    },
+    {
+      "entropy": 7.191673707962036,
+      "epoch": 0.008285004142502071,
+      "grad_norm": 1.5078125,
+      "learning_rate": 4.5e-06,
+      "loss": 6.7268,
+      "mean_token_accuracy": 0.09304728880524635,
+      "num_tokens": 16800.0,
+      "step": 10
+    },
+    {
+      "entropy": 7.134524202346801,
+      "epoch": 0.012427506213753107,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7e-06,
+      "loss": 6.8905,
+      "mean_token_accuracy": 0.0921505056321621,
+      "num_tokens": 26617.0,
+      "step": 15
+    },
+    {
+      "entropy": 7.115550088882446,
+      "epoch": 0.016570008285004142,
+      "grad_norm": 1.25,
+      "learning_rate": 9.5e-06,
+      "loss": 6.8021,
+      "mean_token_accuracy": 0.09268744736909866,
+      "num_tokens": 35855.0,
+      "step": 20
+    },
+    {
+      "entropy": 7.12396879196167,
+      "epoch": 0.020712510356255178,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.2e-05,
+      "loss": 7.0094,
+      "mean_token_accuracy": 0.08752714470028877,
+      "num_tokens": 45644.0,
+      "step": 25
+    },
+    {
+      "entropy": 7.054446792602539,
+      "epoch": 0.024855012427506214,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.4500000000000002e-05,
+      "loss": 6.8922,
+      "mean_token_accuracy": 0.09398627206683159,
+      "num_tokens": 54641.0,
+      "step": 30
+    },
+    {
+      "entropy": 7.012255907058716,
+      "epoch": 0.02899751449875725,
+      "grad_norm": 1.0234375,
+      "learning_rate": 1.7000000000000003e-05,
+      "loss": 6.7519,
+      "mean_token_accuracy": 0.08958807587623596,
+      "num_tokens": 63924.0,
+      "step": 35
+    },
+    {
+      "entropy": 7.068031549453735,
+      "epoch": 0.033140016570008285,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.95e-05,
+      "loss": 6.89,
+      "mean_token_accuracy": 0.09437783882021904,
+      "num_tokens": 73452.0,
+      "step": 40
+    },
+    {
+      "entropy": 7.06072301864624,
+      "epoch": 0.037282518641259324,
+      "grad_norm": 1.0234375,
+      "learning_rate": 2.2e-05,
+      "loss": 6.9455,
+      "mean_token_accuracy": 0.0851291574537754,
+      "num_tokens": 82731.0,
+      "step": 45
+    },
+    {
+      "entropy": 7.090083169937134,
+      "epoch": 0.041425020712510356,
+      "grad_norm": 1.1015625,
+      "learning_rate": 2.4500000000000003e-05,
+      "loss": 6.7734,
+      "mean_token_accuracy": 0.09048294499516488,
+      "num_tokens": 92626.0,
+      "step": 50
+    },
+    {
+      "entropy": 7.149203157424926,
+      "epoch": 0.045567522783761395,
+      "grad_norm": 1.21875,
+      "learning_rate": 2.7e-05,
+      "loss": 6.9497,
+      "mean_token_accuracy": 0.08217904865741729,
+      "num_tokens": 101380.0,
+      "step": 55
+    },
+    {
+      "entropy": 7.119951963424683,
+      "epoch": 0.04971002485501243,
+      "grad_norm": 1.046875,
+      "learning_rate": 2.95e-05,
+      "loss": 6.8604,
+      "mean_token_accuracy": 0.09202293381094932,
+      "num_tokens": 109895.0,
+      "step": 60
+    },
+    {
+      "entropy": 7.2014998435974125,
+      "epoch": 0.053852526926263466,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.2e-05,
+      "loss": 6.8449,
+      "mean_token_accuracy": 0.09257669150829315,
+      "num_tokens": 119203.0,
+      "step": 65
+    },
+    {
+      "entropy": 7.1111664295196535,
+      "epoch": 0.0579950289975145,
+      "grad_norm": 1.1484375,
+      "learning_rate": 3.4500000000000005e-05,
+      "loss": 6.7903,
+      "mean_token_accuracy": 0.09657297283411026,
+      "num_tokens": 127572.0,
+      "step": 70
+    },
+    {
+      "entropy": 7.04930944442749,
+      "epoch": 0.06213753106876554,
+      "grad_norm": 1.03125,
+      "learning_rate": 3.7e-05,
+      "loss": 6.8304,
+      "mean_token_accuracy": 0.09063600301742554,
+      "num_tokens": 137161.0,
+      "step": 75
+    },
+    {
+      "entropy": 7.044711875915527,
+      "epoch": 0.06628003314001657,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.95e-05,
+      "loss": 6.9451,
+      "mean_token_accuracy": 0.08874713778495788,
+      "num_tokens": 145991.0,
+      "step": 80
+    },
+    {
+      "entropy": 7.130092525482178,
+      "epoch": 0.07042253521126761,
+      "grad_norm": 1.0546875,
+      "learning_rate": 4.2000000000000004e-05,
+      "loss": 6.8464,
+      "mean_token_accuracy": 0.08955071866512299,
+      "num_tokens": 154927.0,
+      "step": 85
+    },
+    {
+      "entropy": 7.090402746200562,
+      "epoch": 0.07456503728251865,
+      "grad_norm": 1.34375,
+      "learning_rate": 4.45e-05,
+      "loss": 6.7595,
+      "mean_token_accuracy": 0.09832768961787224,
+      "num_tokens": 163234.0,
+      "step": 90
+    },
+    {
+      "entropy": 7.08957576751709,
+      "epoch": 0.07870753935376967,
+      "grad_norm": 1.015625,
+      "learning_rate": 4.7000000000000004e-05,
+      "loss": 6.7163,
+      "mean_token_accuracy": 0.09379880875349045,
+      "num_tokens": 171554.0,
+      "step": 95
+    },
+    {
+      "entropy": 7.044517278671265,
+      "epoch": 0.08285004142502071,
+      "grad_norm": 1.1328125,
+      "learning_rate": 4.9500000000000004e-05,
+      "loss": 6.8173,
+      "mean_token_accuracy": 0.0955286517739296,
+      "num_tokens": 180171.0,
+      "step": 100
+    },
+    {
+      "entropy": 7.050950908660889,
+      "epoch": 0.08699254349627175,
+      "grad_norm": 1.0859375,
+      "learning_rate": 5.2e-05,
+      "loss": 6.761,
+      "mean_token_accuracy": 0.09741089940071106,
+      "num_tokens": 189216.0,
+      "step": 105
+    },
+    {
+      "entropy": 7.173562717437744,
+      "epoch": 0.09113504556752279,
+      "grad_norm": 1.015625,
+      "learning_rate": 5.45e-05,
+      "loss": 6.9519,
+      "mean_token_accuracy": 0.08675800338387489,
+      "num_tokens": 200022.0,
+      "step": 110
+    },
+    {
+      "entropy": 7.183744478225708,
+      "epoch": 0.09527754763877382,
+      "grad_norm": 1.2265625,
+      "learning_rate": 5.7e-05,
+      "loss": 6.8642,
+      "mean_token_accuracy": 0.09210581332445145,
+      "num_tokens": 208686.0,
+      "step": 115
+    },
+    {
+      "entropy": 7.121539115905762,
+      "epoch": 0.09942004971002485,
+      "grad_norm": 1.1875,
+      "learning_rate": 5.9499999999999996e-05,
+      "loss": 6.8829,
+      "mean_token_accuracy": 0.09462191313505172,
+      "num_tokens": 218266.0,
+      "step": 120
+    },
+    {
+      "entropy": 7.006736946105957,
+      "epoch": 0.1035625517812759,
+      "grad_norm": 1.046875,
+      "learning_rate": 6.2e-05,
+      "loss": 6.7523,
+      "mean_token_accuracy": 0.08771666437387467,
+      "num_tokens": 227658.0,
+      "step": 125
+    },
+    {
+      "entropy": 7.040027761459351,
+      "epoch": 0.10770505385252693,
+      "grad_norm": 1.1015625,
+      "learning_rate": 6.450000000000001e-05,
+      "loss": 6.7014,
+      "mean_token_accuracy": 0.1004502885043621,
+      "num_tokens": 236301.0,
+      "step": 130
+    },
+    {
+      "entropy": 7.106470441818237,
+      "epoch": 0.11184755592377796,
+      "grad_norm": 1.1171875,
+      "learning_rate": 6.7e-05,
+      "loss": 6.8424,
+      "mean_token_accuracy": 0.08812138065695763,
+      "num_tokens": 246355.0,
+      "step": 135
+    },
+    {
+      "entropy": 7.174679756164551,
+      "epoch": 0.115990057995029,
+      "grad_norm": 1.15625,
+      "learning_rate": 6.950000000000001e-05,
+      "loss": 6.8174,
+      "mean_token_accuracy": 0.0924198254942894,
+      "num_tokens": 256023.0,
+      "step": 140
+    },
+    {
+      "entropy": 7.10174069404602,
+      "epoch": 0.12013256006628004,
+      "grad_norm": 0.9921875,
+      "learning_rate": 7.2e-05,
+      "loss": 6.9036,
+      "mean_token_accuracy": 0.08638993799686431,
+      "num_tokens": 266893.0,
+      "step": 145
+    },
+    {
+      "entropy": 7.019921684265137,
+      "epoch": 0.12427506213753108,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7.45e-05,
+      "loss": 6.6606,
+      "mean_token_accuracy": 0.08872481286525727,
+      "num_tokens": 276075.0,
+      "step": 150
+    },
+    {
+      "entropy": 7.042754888534546,
+      "epoch": 0.12841756420878211,
+      "grad_norm": 1.25,
+      "learning_rate": 7.7e-05,
+      "loss": 6.7532,
+      "mean_token_accuracy": 0.09296932220458984,
+      "num_tokens": 285529.0,
+      "step": 155
+    },
+    {
+      "entropy": 7.064399909973145,
+      "epoch": 0.13256006628003314,
+      "grad_norm": 1.15625,
+      "learning_rate": 7.950000000000001e-05,
+      "loss": 6.762,
+      "mean_token_accuracy": 0.09406789913773536,
+      "num_tokens": 294403.0,
+      "step": 160
+    },
+    {
+      "entropy": 7.152362823486328,
+      "epoch": 0.13670256835128416,
+      "grad_norm": 1.28125,
+      "learning_rate": 8.2e-05,
+      "loss": 6.8553,
+      "mean_token_accuracy": 0.09358441680669785,
+      "num_tokens": 303507.0,
+      "step": 165
+    },
+    {
+      "entropy": 7.071487474441528,
+      "epoch": 0.14084507042253522,
+      "grad_norm": 1.21875,
+      "learning_rate": 8.450000000000001e-05,
+      "loss": 6.7534,
+      "mean_token_accuracy": 0.09645206108689308,
+      "num_tokens": 312393.0,
+      "step": 170
+    },
+    {
+      "entropy": 6.956210470199585,
+      "epoch": 0.14498757249378624,
+      "grad_norm": 1.0859375,
+      "learning_rate": 8.7e-05,
+      "loss": 6.7226,
+      "mean_token_accuracy": 0.09953253641724587,
+      "num_tokens": 321309.0,
+      "step": 175
+    },
+    {
+      "entropy": 7.2200812816619875,
+      "epoch": 0.1491300745650373,
+      "grad_norm": 1.1328125,
+      "learning_rate": 8.95e-05,
+      "loss": 6.7879,
+      "mean_token_accuracy": 0.09582221284508705,
+      "num_tokens": 330217.0,
+      "step": 180
+    },
+    {
+      "entropy": 6.964824962615967,
+      "epoch": 0.15327257663628832,
+      "grad_norm": 1.2109375,
+      "learning_rate": 9.2e-05,
+      "loss": 6.8296,
+      "mean_token_accuracy": 0.09584516286849976,
+      "num_tokens": 339587.0,
+      "step": 185
+    },
+    {
+      "entropy": 7.104565525054932,
+      "epoch": 0.15741507870753935,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.45e-05,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.09563353508710862,
+      "num_tokens": 349367.0,
+      "step": 190
+    },
+    {
+      "entropy": 6.90956711769104,
+      "epoch": 0.1615575807787904,
+      "grad_norm": 1.1953125,
+      "learning_rate": 9.7e-05,
+      "loss": 6.6535,
+      "mean_token_accuracy": 0.09533214569091797,
+      "num_tokens": 358272.0,
+      "step": 195
+    },
+    {
+      "entropy": 7.184430170059204,
+      "epoch": 0.16570008285004142,
+      "grad_norm": 1.1875,
+      "learning_rate": 9.95e-05,
+      "loss": 6.8847,
+      "mean_token_accuracy": 0.09342379868030548,
+      "num_tokens": 367709.0,
+      "step": 200
+    },
+    {
+      "entropy": 7.108258152008057,
+      "epoch": 0.16984258492129245,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000102,
+      "loss": 6.7363,
+      "mean_token_accuracy": 0.09321728497743606,
+      "num_tokens": 376180.0,
+      "step": 205
+    },
+    {
+      "entropy": 7.143853282928466,
+      "epoch": 0.1739850869925435,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00010449999999999999,
+      "loss": 6.8927,
+      "mean_token_accuracy": 0.08639989122748375,
+      "num_tokens": 385636.0,
+      "step": 210
+    },
+    {
+      "entropy": 7.005528688430786,
+      "epoch": 0.17812758906379453,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000107,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.10387283116579056,
+      "num_tokens": 394486.0,
+      "step": 215
+    },
+    {
+      "entropy": 7.066776275634766,
+      "epoch": 0.18227009113504558,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0001095,
+      "loss": 6.7286,
+      "mean_token_accuracy": 0.09739693626761436,
+      "num_tokens": 403765.0,
+      "step": 220
+    },
+    {
+      "entropy": 6.9391695022583,
+      "epoch": 0.1864125932062966,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000112,
+      "loss": 6.7198,
+      "mean_token_accuracy": 0.09883175939321517,
+      "num_tokens": 412988.0,
+      "step": 225
+    },
+    {
+      "entropy": 7.029045248031617,
+      "epoch": 0.19055509527754763,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0001145,
+      "loss": 6.6219,
+      "mean_token_accuracy": 0.09850638806819915,
+      "num_tokens": 422096.0,
+      "step": 230
+    },
+    {
+      "entropy": 7.055552911758423,
+      "epoch": 0.19469759734879868,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011700000000000001,
+      "loss": 6.7907,
+      "mean_token_accuracy": 0.08912368193268776,
+      "num_tokens": 431333.0,
+      "step": 235
+    },
+    {
+      "entropy": 7.076433277130127,
+      "epoch": 0.1988400994200497,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00011949999999999999,
+      "loss": 6.825,
+      "mean_token_accuracy": 0.0998022735118866,
+      "num_tokens": 440382.0,
+      "step": 240
+    },
+    {
+      "entropy": 7.098494958877564,
+      "epoch": 0.20298260149130073,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000122,
+      "loss": 6.7184,
+      "mean_token_accuracy": 0.1035430908203125,
+      "num_tokens": 448469.0,
+      "step": 245
+    },
+    {
+      "entropy": 7.065437746047974,
+      "epoch": 0.2071251035625518,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001245,
+      "loss": 6.7562,
+      "mean_token_accuracy": 0.0973759837448597,
+      "num_tokens": 457356.0,
+      "step": 250
+    },
+    {
+      "entropy": 7.103154182434082,
+      "epoch": 0.2112676056338028,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000127,
+      "loss": 6.7821,
+      "mean_token_accuracy": 0.09721289053559304,
+      "num_tokens": 465928.0,
+      "step": 255
+    },
+    {
+      "entropy": 6.99681601524353,
+      "epoch": 0.21541010770505387,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0001295,
+      "loss": 6.6931,
+      "mean_token_accuracy": 0.09931288808584213,
+      "num_tokens": 475269.0,
+      "step": 260
+    },
+    {
+      "entropy": 6.960800266265869,
+      "epoch": 0.2195526097763049,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000132,
+      "loss": 6.679,
+      "mean_token_accuracy": 0.09512786641716957,
+      "num_tokens": 485450.0,
+      "step": 265
+    },
+    {
+      "entropy": 7.0514568328857425,
+      "epoch": 0.22369511184755592,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00013450000000000002,
+      "loss": 6.7347,
+      "mean_token_accuracy": 0.10228226557374001,
+      "num_tokens": 494029.0,
+      "step": 270
+    },
+    {
+      "entropy": 6.9516912460327145,
+      "epoch": 0.22783761391880697,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013700000000000002,
+      "loss": 6.676,
+      "mean_token_accuracy": 0.10202871784567832,
+      "num_tokens": 503253.0,
+      "step": 275
+    },
+    {
+      "entropy": 7.018160057067871,
+      "epoch": 0.231980115990058,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0001395,
+      "loss": 6.6685,
+      "mean_token_accuracy": 0.09529435187578202,
+      "num_tokens": 512857.0,
+      "step": 280
+    },
+    {
+      "entropy": 6.9714985370635985,
+      "epoch": 0.23612261806130902,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00014199999999999998,
+      "loss": 6.7719,
+      "mean_token_accuracy": 0.09288227260112762,
+      "num_tokens": 522319.0,
+      "step": 285
+    },
+    {
+      "entropy": 7.113205528259277,
+      "epoch": 0.24026512013256007,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0001445,
+      "loss": 6.7224,
+      "mean_token_accuracy": 0.09471780881285667,
+      "num_tokens": 531469.0,
+      "step": 290
+    },
+    {
+      "entropy": 6.976934480667114,
+      "epoch": 0.2444076222038111,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000147,
+      "loss": 6.756,
+      "mean_token_accuracy": 0.09480062946677208,
+      "num_tokens": 540470.0,
+      "step": 295
+    },
+    {
+      "entropy": 7.011937475204467,
+      "epoch": 0.24855012427506215,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0001495,
+      "loss": 6.7584,
+      "mean_token_accuracy": 0.09700122326612473,
+      "num_tokens": 550317.0,
+      "step": 300
+    },
+    {
+      "entropy": 7.0365160465240475,
+      "epoch": 0.2526926263463132,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000152,
+      "loss": 6.7067,
+      "mean_token_accuracy": 0.09434132501482964,
+      "num_tokens": 559409.0,
+      "step": 305
+    },
+    {
+      "entropy": 6.928857326507568,
+      "epoch": 0.25683512841756423,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00015450000000000001,
+      "loss": 6.768,
+      "mean_token_accuracy": 0.10764710158109665,
+      "num_tokens": 568726.0,
+      "step": 310
+    },
+    {
+      "entropy": 7.103991413116455,
+      "epoch": 0.2609776304888152,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000157,
+      "loss": 6.7179,
+      "mean_token_accuracy": 0.0976541943848133,
+      "num_tokens": 577926.0,
+      "step": 315
+    },
+    {
+      "entropy": 7.047203779220581,
+      "epoch": 0.2651201325600663,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001595,
+      "loss": 6.7448,
+      "mean_token_accuracy": 0.09809661954641342,
+      "num_tokens": 586695.0,
+      "step": 320
+    },
+    {
+      "entropy": 7.039609956741333,
+      "epoch": 0.26926263463131733,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000162,
+      "loss": 6.771,
+      "mean_token_accuracy": 0.0949723981320858,
+      "num_tokens": 596250.0,
+      "step": 325
+    },
+    {
+      "entropy": 7.063632202148438,
+      "epoch": 0.27340513670256833,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00016450000000000001,
+      "loss": 6.8221,
+      "mean_token_accuracy": 0.09051206335425377,
+      "num_tokens": 605761.0,
+      "step": 330
+    },
+    {
+      "entropy": 7.019326877593994,
+      "epoch": 0.2775476387738194,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00016700000000000002,
+      "loss": 6.7365,
+      "mean_token_accuracy": 0.09872144013643265,
+      "num_tokens": 614313.0,
+      "step": 335
+    },
+    {
+      "entropy": 7.037422132492066,
+      "epoch": 0.28169014084507044,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00016950000000000003,
+      "loss": 6.7692,
+      "mean_token_accuracy": 0.09455474764108658,
+      "num_tokens": 624470.0,
+      "step": 340
+    },
+    {
+      "entropy": 7.039082098007202,
+      "epoch": 0.28583264291632143,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00017199999999999998,
+      "loss": 6.6843,
+      "mean_token_accuracy": 0.09269843101501465,
+      "num_tokens": 633458.0,
+      "step": 345
+    },
+    {
+      "entropy": 6.942268037796021,
+      "epoch": 0.2899751449875725,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00017449999999999999,
+      "loss": 6.6939,
+      "mean_token_accuracy": 0.09877684414386749,
+      "num_tokens": 643251.0,
+      "step": 350
+    },
+    {
+      "entropy": 6.99584732055664,
+      "epoch": 0.29411764705882354,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000177,
+      "loss": 6.7635,
+      "mean_token_accuracy": 0.09713540598750114,
+      "num_tokens": 652005.0,
+      "step": 355
+    },
+    {
+      "entropy": 7.006586170196533,
+      "epoch": 0.2982601491300746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0001795,
+      "loss": 6.6575,
+      "mean_token_accuracy": 0.10120807588100433,
+      "num_tokens": 661003.0,
+      "step": 360
+    },
+    {
+      "entropy": 6.874996137619019,
+      "epoch": 0.3024026512013256,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000182,
+      "loss": 6.6294,
+      "mean_token_accuracy": 0.09844254851341247,
+      "num_tokens": 670221.0,
+      "step": 365
+    },
+    {
+      "entropy": 7.155635738372803,
+      "epoch": 0.30654515327257664,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001845,
+      "loss": 6.9236,
+      "mean_token_accuracy": 0.0882349319756031,
+      "num_tokens": 680756.0,
+      "step": 370
+    },
+    {
+      "entropy": 6.94540753364563,
+      "epoch": 0.3106876553438277,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000187,
+      "loss": 6.6157,
+      "mean_token_accuracy": 0.10289054960012436,
+      "num_tokens": 689641.0,
+      "step": 375
+    },
+    {
+      "entropy": 6.87992377281189,
+      "epoch": 0.3148301574150787,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001895,
+      "loss": 6.5696,
+      "mean_token_accuracy": 0.09839320331811904,
+      "num_tokens": 698209.0,
+      "step": 380
+    },
+    {
+      "entropy": 6.823869276046753,
+      "epoch": 0.31897265948632975,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000192,
+      "loss": 6.5736,
+      "mean_token_accuracy": 0.10355777889490128,
+      "num_tokens": 706712.0,
+      "step": 385
+    },
+    {
+      "entropy": 7.037634468078613,
+      "epoch": 0.3231151615575808,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0001945,
+      "loss": 6.8017,
+      "mean_token_accuracy": 0.09728012606501579,
+      "num_tokens": 716087.0,
+      "step": 390
+    },
+    {
+      "entropy": 6.911249494552612,
+      "epoch": 0.3272576636288318,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00019700000000000002,
+      "loss": 6.6465,
+      "mean_token_accuracy": 0.09347675815224647,
+      "num_tokens": 725913.0,
+      "step": 395
+    },
+    {
+      "entropy": 6.944440317153931,
+      "epoch": 0.33140016570008285,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019950000000000002,
+      "loss": 6.7201,
+      "mean_token_accuracy": 0.10362306237220764,
+      "num_tokens": 735020.0,
+      "step": 400
+    },
+    {
+      "entropy": 6.985636854171753,
+      "epoch": 0.3355426677713339,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000202,
+      "loss": 6.6216,
+      "mean_token_accuracy": 0.09469136893749237,
+      "num_tokens": 744299.0,
+      "step": 405
+    },
+    {
+      "entropy": 6.883630275726318,
+      "epoch": 0.3396851698425849,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00020449999999999998,
+      "loss": 6.6099,
+      "mean_token_accuracy": 0.09694516137242318,
+      "num_tokens": 753231.0,
+      "step": 410
+    },
+    {
+      "entropy": 6.825357389450073,
+      "epoch": 0.34382767191383595,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000207,
+      "loss": 6.6717,
+      "mean_token_accuracy": 0.10230854973196983,
+      "num_tokens": 763043.0,
+      "step": 415
+    },
+    {
+      "entropy": 7.016851997375488,
+      "epoch": 0.347970173985087,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0002095,
+      "loss": 6.6905,
+      "mean_token_accuracy": 0.09913048222661018,
+      "num_tokens": 771977.0,
+      "step": 420
+    },
+    {
+      "entropy": 6.820244407653808,
+      "epoch": 0.352112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000212,
+      "loss": 6.6243,
+      "mean_token_accuracy": 0.1011092983186245,
+      "num_tokens": 780285.0,
+      "step": 425
+    },
+    {
+      "entropy": 6.956075525283813,
+      "epoch": 0.35625517812758906,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002145,
+      "loss": 6.6593,
+      "mean_token_accuracy": 0.09649045094847679,
+      "num_tokens": 789980.0,
+      "step": 430
+    },
+    {
+      "entropy": 6.984846019744873,
+      "epoch": 0.3603976801988401,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021700000000000002,
+      "loss": 6.6275,
+      "mean_token_accuracy": 0.10474459528923034,
+      "num_tokens": 798700.0,
+      "step": 435
+    },
+    {
+      "entropy": 6.767291498184204,
+      "epoch": 0.36454018227009116,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002195,
+      "loss": 6.7208,
+      "mean_token_accuracy": 0.09600067660212516,
+      "num_tokens": 808758.0,
+      "step": 440
+    },
+    {
+      "entropy": 7.046369791030884,
+      "epoch": 0.36868268434134216,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000222,
+      "loss": 6.6666,
+      "mean_token_accuracy": 0.10458802133798599,
+      "num_tokens": 817692.0,
+      "step": 445
+    },
+    {
+      "entropy": 6.95425066947937,
+      "epoch": 0.3728251864125932,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002245,
+      "loss": 6.7146,
+      "mean_token_accuracy": 0.10474570766091347,
+      "num_tokens": 827052.0,
+      "step": 450
+    },
+    {
+      "entropy": 6.895345544815063,
+      "epoch": 0.37696768848384427,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00022700000000000002,
+      "loss": 6.7139,
+      "mean_token_accuracy": 0.1091882586479187,
+      "num_tokens": 836442.0,
+      "step": 455
+    },
+    {
+      "entropy": 6.922871923446655,
+      "epoch": 0.38111019055509526,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00022950000000000002,
+      "loss": 6.5775,
+      "mean_token_accuracy": 0.10118989571928978,
+      "num_tokens": 846441.0,
+      "step": 460
+    },
+    {
+      "entropy": 6.8815388679504395,
+      "epoch": 0.3852526926263463,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00023200000000000003,
+      "loss": 6.6215,
+      "mean_token_accuracy": 0.10475475937128068,
+      "num_tokens": 856108.0,
+      "step": 465
+    },
+    {
+      "entropy": 6.848587274551392,
+      "epoch": 0.38939519469759737,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00023449999999999998,
+      "loss": 6.5833,
+      "mean_token_accuracy": 0.10137399956583977,
+      "num_tokens": 865788.0,
+      "step": 470
+    },
+    {
+      "entropy": 6.886804008483887,
+      "epoch": 0.39353769676884837,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000237,
+      "loss": 6.6302,
+      "mean_token_accuracy": 0.09514767676591873,
+      "num_tokens": 874833.0,
+      "step": 475
+    },
+    {
+      "entropy": 6.751422643661499,
+      "epoch": 0.3976801988400994,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002395,
+      "loss": 6.5997,
+      "mean_token_accuracy": 0.10276172533631325,
+      "num_tokens": 883685.0,
+      "step": 480
+    },
+    {
+      "entropy": 6.881311464309692,
+      "epoch": 0.40182270091135047,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000242,
+      "loss": 6.6001,
+      "mean_token_accuracy": 0.09796027019619942,
+      "num_tokens": 893908.0,
+      "step": 485
+    },
+    {
+      "entropy": 6.934821891784668,
+      "epoch": 0.40596520298260147,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002445,
+      "loss": 6.7142,
+      "mean_token_accuracy": 0.09827135354280472,
+      "num_tokens": 903081.0,
+      "step": 490
+    },
+    {
+      "entropy": 6.7868632793426515,
+      "epoch": 0.4101077050538525,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000247,
+      "loss": 6.5522,
+      "mean_token_accuracy": 0.10336750745773315,
+      "num_tokens": 912515.0,
+      "step": 495
+    },
+    {
+      "entropy": 6.886235475540161,
+      "epoch": 0.4142502071251036,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002495,
+      "loss": 6.5797,
+      "mean_token_accuracy": 0.1070313923060894,
+      "num_tokens": 921056.0,
+      "step": 500
+    },
+    {
+      "epoch": 0.4142502071251036,
+      "eval_entropy": 6.836038604728194,
+      "eval_loss": 6.684774875640869,
+      "eval_mean_token_accuracy": 0.10272799217021034,
+      "eval_num_tokens": 921056.0,
+      "eval_runtime": 2.7891,
+      "eval_samples_per_second": 1343.421,
+      "eval_steps_per_second": 168.152,
+      "step": 500
+    },
+    {
+      "entropy": 6.7657403469085695,
+      "epoch": 0.4183927091963546,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000252,
+      "loss": 6.5317,
+      "mean_token_accuracy": 0.10417452603578567,
+      "num_tokens": 931112.0,
+      "step": 505
+    },
+    {
+      "entropy": 6.821895503997803,
+      "epoch": 0.4225352112676056,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0002545,
+      "loss": 6.6605,
+      "mean_token_accuracy": 0.0978618748486042,
+      "num_tokens": 941120.0,
+      "step": 510
+    },
+    {
+      "entropy": 6.886211729049682,
+      "epoch": 0.4266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000257,
+      "loss": 6.6044,
+      "mean_token_accuracy": 0.09737976416945457,
+      "num_tokens": 950041.0,
+      "step": 515
+    },
+    {
+      "entropy": 6.879851579666138,
+      "epoch": 0.43082021541010773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002595,
+      "loss": 6.5907,
+      "mean_token_accuracy": 0.10606569275259972,
+      "num_tokens": 958608.0,
+      "step": 520
+    },
+    {
+      "entropy": 6.886484861373901,
+      "epoch": 0.43496271748135873,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.000262,
+      "loss": 6.7158,
+      "mean_token_accuracy": 0.09990910813212395,
+      "num_tokens": 966901.0,
+      "step": 525
+    },
+    {
+      "entropy": 6.767313003540039,
+      "epoch": 0.4391052195526098,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026450000000000003,
+      "loss": 6.5504,
+      "mean_token_accuracy": 0.10768762230873108,
+      "num_tokens": 976198.0,
+      "step": 530
+    },
+    {
+      "entropy": 6.892781782150268,
+      "epoch": 0.44324772162386084,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026700000000000004,
+      "loss": 6.624,
+      "mean_token_accuracy": 0.09861580505967141,
+      "num_tokens": 985248.0,
+      "step": 535
+    },
+    {
+      "entropy": 6.772344255447388,
+      "epoch": 0.44739022369511183,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00026950000000000005,
+      "loss": 6.5014,
+      "mean_token_accuracy": 0.1071978710591793,
+      "num_tokens": 993289.0,
+      "step": 540
+    },
+    {
+      "entropy": 6.820696449279785,
+      "epoch": 0.4515327257663629,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027200000000000005,
+      "loss": 6.5909,
+      "mean_token_accuracy": 0.10533165782690049,
+      "num_tokens": 1001784.0,
+      "step": 545
+    },
+    {
+      "entropy": 6.935409688949585,
+      "epoch": 0.45567522783761394,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002745,
+      "loss": 6.5627,
+      "mean_token_accuracy": 0.10804210156202317,
+      "num_tokens": 1010445.0,
+      "step": 550
+    },
+    {
+      "entropy": 6.745790100097656,
+      "epoch": 0.45981772990886494,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000277,
+      "loss": 6.6184,
+      "mean_token_accuracy": 0.10709234476089477,
+      "num_tokens": 1019084.0,
+      "step": 555
+    },
+    {
+      "entropy": 6.7490733623504635,
+      "epoch": 0.463960231980116,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002795,
+      "loss": 6.5249,
+      "mean_token_accuracy": 0.10461713373661041,
+      "num_tokens": 1027263.0,
+      "step": 560
+    },
+    {
+      "entropy": 6.876884937286377,
+      "epoch": 0.46810273405136704,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00028199999999999997,
+      "loss": 6.6233,
+      "mean_token_accuracy": 0.09752989709377288,
+      "num_tokens": 1036275.0,
+      "step": 565
+    },
+    {
+      "entropy": 6.765736055374146,
+      "epoch": 0.47224523612261804,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002845,
+      "loss": 6.7015,
+      "mean_token_accuracy": 0.09858408868312836,
+      "num_tokens": 1045208.0,
+      "step": 570
+    },
+    {
+      "entropy": 6.9024957656860355,
+      "epoch": 0.4763877381938691,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000287,
+      "loss": 6.6287,
+      "mean_token_accuracy": 0.1026283286511898,
+      "num_tokens": 1054703.0,
+      "step": 575
+    },
+    {
+      "entropy": 6.647345924377442,
+      "epoch": 0.48053024026512015,
+      "grad_norm": 1.5,
+      "learning_rate": 0.0002895,
+      "loss": 6.4841,
+      "mean_token_accuracy": 0.10212503597140313,
+      "num_tokens": 1063652.0,
+      "step": 580
+    },
+    {
+      "entropy": 6.717900657653809,
+      "epoch": 0.48467274233637114,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000292,
+      "loss": 6.5873,
+      "mean_token_accuracy": 0.10145951434969902,
+      "num_tokens": 1072070.0,
+      "step": 585
+    },
+    {
+      "entropy": 6.997959756851197,
+      "epoch": 0.4888152444076222,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002945,
+      "loss": 6.6143,
+      "mean_token_accuracy": 0.10064447894692422,
+      "num_tokens": 1079992.0,
+      "step": 590
+    },
+    {
+      "entropy": 6.657160854339599,
+      "epoch": 0.49295774647887325,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000297,
+      "loss": 6.628,
+      "mean_token_accuracy": 0.10435748845338821,
+      "num_tokens": 1088862.0,
+      "step": 595
+    },
+    {
+      "entropy": 6.773271942138672,
+      "epoch": 0.4971002485501243,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002995,
+      "loss": 6.4317,
+      "mean_token_accuracy": 0.10795770138502121,
+      "num_tokens": 1097614.0,
+      "step": 600
+    },
+    {
+      "entropy": 6.7102379322052,
+      "epoch": 0.5012427506213754,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000302,
+      "loss": 6.6288,
+      "mean_token_accuracy": 0.10706980749964715,
+      "num_tokens": 1107347.0,
+      "step": 605
+    },
+    {
+      "entropy": 6.8672473430633545,
+      "epoch": 0.5053852526926264,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003045,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10073774978518486,
+      "num_tokens": 1116707.0,
+      "step": 610
+    },
+    {
+      "entropy": 6.764383840560913,
+      "epoch": 0.5095277547638773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000307,
+      "loss": 6.6549,
+      "mean_token_accuracy": 0.10234303548932075,
+      "num_tokens": 1126356.0,
+      "step": 615
+    },
+    {
+      "entropy": 6.787193298339844,
+      "epoch": 0.5136702568351285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003095,
+      "loss": 6.5847,
+      "mean_token_accuracy": 0.10079671740531922,
+      "num_tokens": 1136281.0,
+      "step": 620
+    },
+    {
+      "entropy": 6.713733196258545,
+      "epoch": 0.5178127589063795,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000312,
+      "loss": 6.5355,
+      "mean_token_accuracy": 0.10429632142186165,
+      "num_tokens": 1145466.0,
+      "step": 625
+    },
+    {
+      "entropy": 6.7503923892974855,
+      "epoch": 0.5219552609776305,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003145,
+      "loss": 6.5409,
+      "mean_token_accuracy": 0.10918259546160698,
+      "num_tokens": 1154225.0,
+      "step": 630
+    },
+    {
+      "entropy": 6.761834907531738,
+      "epoch": 0.5260977630488816,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000317,
+      "loss": 6.5885,
+      "mean_token_accuracy": 0.09673135951161385,
+      "num_tokens": 1163872.0,
+      "step": 635
+    },
+    {
+      "entropy": 6.69431324005127,
+      "epoch": 0.5302402651201326,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003195,
+      "loss": 6.5244,
+      "mean_token_accuracy": 0.10705070868134499,
+      "num_tokens": 1172695.0,
+      "step": 640
+    },
+    {
+      "entropy": 6.651590061187744,
+      "epoch": 0.5343827671913836,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000322,
+      "loss": 6.3962,
+      "mean_token_accuracy": 0.11006554961204529,
+      "num_tokens": 1181291.0,
+      "step": 645
+    },
+    {
+      "entropy": 6.782713270187378,
+      "epoch": 0.5385252692626347,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00032450000000000003,
+      "loss": 6.5715,
+      "mean_token_accuracy": 0.10394523739814758,
+      "num_tokens": 1189927.0,
+      "step": 650
+    },
+    {
+      "entropy": 6.705166435241699,
+      "epoch": 0.5426677713338857,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00032700000000000003,
+      "loss": 6.5043,
+      "mean_token_accuracy": 0.10940467119216919,
+      "num_tokens": 1197913.0,
+      "step": 655
+    },
+    {
+      "entropy": 6.670699262619019,
+      "epoch": 0.5468102734051367,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032950000000000004,
+      "loss": 6.4309,
+      "mean_token_accuracy": 0.11147961542010307,
+      "num_tokens": 1207032.0,
+      "step": 660
+    },
+    {
+      "entropy": 6.640204334259034,
+      "epoch": 0.5509527754763878,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00033200000000000005,
+      "loss": 6.5397,
+      "mean_token_accuracy": 0.10571447387337685,
+      "num_tokens": 1215710.0,
+      "step": 665
+    },
+    {
+      "entropy": 6.694819068908691,
+      "epoch": 0.5550952775476388,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033450000000000005,
+      "loss": 6.52,
+      "mean_token_accuracy": 0.10049431845545768,
+      "num_tokens": 1225619.0,
+      "step": 670
+    },
+    {
+      "entropy": 6.649594163894653,
+      "epoch": 0.5592377796188898,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000337,
+      "loss": 6.4407,
+      "mean_token_accuracy": 0.11157044768333435,
+      "num_tokens": 1235000.0,
+      "step": 675
+    },
+    {
+      "entropy": 6.612611961364746,
+      "epoch": 0.5633802816901409,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003395,
+      "loss": 6.4462,
+      "mean_token_accuracy": 0.108580531924963,
+      "num_tokens": 1243594.0,
+      "step": 680
+    },
+    {
+      "entropy": 6.843221950531006,
+      "epoch": 0.5675227837613919,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000342,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10460855960845947,
+      "num_tokens": 1252279.0,
+      "step": 685
+    },
+    {
+      "entropy": 6.760235929489136,
+      "epoch": 0.5716652858326429,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034449999999999997,
+      "loss": 6.559,
+      "mean_token_accuracy": 0.10665302500128745,
+      "num_tokens": 1261314.0,
+      "step": 690
+    },
+    {
+      "entropy": 6.55326566696167,
+      "epoch": 0.575807787903894,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000347,
+      "loss": 6.4337,
+      "mean_token_accuracy": 0.11188110187649727,
+      "num_tokens": 1270854.0,
+      "step": 695
+    },
+    {
+      "entropy": 6.618375587463379,
+      "epoch": 0.579950289975145,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003495,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.11392810270190239,
+      "num_tokens": 1279183.0,
+      "step": 700
+    },
+    {
+      "entropy": 6.626208257675171,
+      "epoch": 0.584092792046396,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000352,
+      "loss": 6.5015,
+      "mean_token_accuracy": 0.10761247500777245,
+      "num_tokens": 1288347.0,
+      "step": 705
+    },
+    {
+      "entropy": 6.6855669021606445,
+      "epoch": 0.5882352941176471,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003545,
+      "loss": 6.5036,
+      "mean_token_accuracy": 0.10823310390114785,
+      "num_tokens": 1297449.0,
+      "step": 710
+    },
+    {
+      "entropy": 6.710147094726563,
+      "epoch": 0.5923777961888981,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000357,
+      "loss": 6.4688,
+      "mean_token_accuracy": 0.10904998034238815,
+      "num_tokens": 1306232.0,
+      "step": 715
+    },
+    {
+      "entropy": 6.6553794860839846,
+      "epoch": 0.5965202982601492,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003595,
+      "loss": 6.4857,
+      "mean_token_accuracy": 0.11109372302889824,
+      "num_tokens": 1315073.0,
+      "step": 720
+    },
+    {
+      "entropy": 6.674065732955933,
+      "epoch": 0.6006628003314002,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000362,
+      "loss": 6.5301,
+      "mean_token_accuracy": 0.10648825243115426,
+      "num_tokens": 1324629.0,
+      "step": 725
+    },
+    {
+      "entropy": 6.700368881225586,
+      "epoch": 0.6048053024026512,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0003645,
+      "loss": 6.6444,
+      "mean_token_accuracy": 0.10443340390920638,
+      "num_tokens": 1334152.0,
+      "step": 730
+    },
+    {
+      "entropy": 6.779498624801636,
+      "epoch": 0.6089478044739023,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000367,
+      "loss": 6.5946,
+      "mean_token_accuracy": 0.10130336955189705,
+      "num_tokens": 1343063.0,
+      "step": 735
+    },
+    {
+      "entropy": 6.684298419952393,
+      "epoch": 0.6130903065451533,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0003695,
+      "loss": 6.5241,
+      "mean_token_accuracy": 0.10516620799899101,
+      "num_tokens": 1352632.0,
+      "step": 740
+    },
+    {
+      "entropy": 6.582866573333741,
+      "epoch": 0.6172328086164043,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000372,
+      "loss": 6.4712,
+      "mean_token_accuracy": 0.10765027329325676,
+      "num_tokens": 1361103.0,
+      "step": 745
+    },
+    {
+      "entropy": 6.643687963485718,
+      "epoch": 0.6213753106876554,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003745,
+      "loss": 6.4642,
+      "mean_token_accuracy": 0.10832677409052849,
+      "num_tokens": 1370658.0,
+      "step": 750
+    },
+    {
+      "entropy": 6.64506516456604,
+      "epoch": 0.6255178127589064,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000377,
+      "loss": 6.4878,
+      "mean_token_accuracy": 0.10808288529515267,
+      "num_tokens": 1379817.0,
+      "step": 755
+    },
+    {
+      "entropy": 6.640752458572388,
+      "epoch": 0.6296603148301574,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003795,
+      "loss": 6.4418,
+      "mean_token_accuracy": 0.10874675288796425,
+      "num_tokens": 1389329.0,
+      "step": 760
+    },
+    {
+      "entropy": 6.4627049446105955,
+      "epoch": 0.6338028169014085,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000382,
+      "loss": 6.4902,
+      "mean_token_accuracy": 0.10606684386730195,
+      "num_tokens": 1399279.0,
+      "step": 765
+    },
+    {
+      "entropy": 6.621781063079834,
+      "epoch": 0.6379453189726595,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003845,
+      "loss": 6.4146,
+      "mean_token_accuracy": 0.11267002299427986,
+      "num_tokens": 1408765.0,
+      "step": 770
+    },
+    {
+      "entropy": 6.736465692520142,
+      "epoch": 0.6420878210439105,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038700000000000003,
+      "loss": 6.5632,
+      "mean_token_accuracy": 0.10607504546642303,
+      "num_tokens": 1418615.0,
+      "step": 775
+    },
+    {
+      "entropy": 6.616378879547119,
+      "epoch": 0.6462303231151616,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038950000000000003,
+      "loss": 6.4664,
+      "mean_token_accuracy": 0.10207068845629692,
+      "num_tokens": 1427359.0,
+      "step": 780
+    },
+    {
+      "entropy": 6.70065336227417,
+      "epoch": 0.6503728251864126,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00039200000000000004,
+      "loss": 6.622,
+      "mean_token_accuracy": 0.1116428442299366,
+      "num_tokens": 1435516.0,
+      "step": 785
+    },
+    {
+      "entropy": 6.709064102172851,
+      "epoch": 0.6545153272576636,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00039450000000000005,
+      "loss": 6.5704,
+      "mean_token_accuracy": 0.10583743155002594,
+      "num_tokens": 1444438.0,
+      "step": 790
+    },
+    {
+      "entropy": 6.671351766586303,
+      "epoch": 0.6586578293289147,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00039700000000000005,
+      "loss": 6.4996,
+      "mean_token_accuracy": 0.11326526403427124,
+      "num_tokens": 1453740.0,
+      "step": 795
+    },
+    {
+      "entropy": 6.614573907852173,
+      "epoch": 0.6628003314001657,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003995,
+      "loss": 6.4874,
+      "mean_token_accuracy": 0.11111863479018211,
+      "num_tokens": 1462083.0,
+      "step": 800
+    },
+    {
+      "entropy": 6.484545516967773,
+      "epoch": 0.6669428334714167,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000402,
+      "loss": 6.4127,
+      "mean_token_accuracy": 0.1100592203438282,
+      "num_tokens": 1471459.0,
+      "step": 805
+    },
+    {
+      "entropy": 6.621589279174804,
+      "epoch": 0.6710853355426678,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004045,
+      "loss": 6.3972,
+      "mean_token_accuracy": 0.11681128293275833,
+      "num_tokens": 1480516.0,
+      "step": 810
+    },
+    {
+      "entropy": 6.421737241744995,
+      "epoch": 0.6752278376139188,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00040699999999999997,
+      "loss": 6.3,
+      "mean_token_accuracy": 0.11318568140268326,
+      "num_tokens": 1489268.0,
+      "step": 815
+    },
+    {
+      "entropy": 6.700246906280517,
+      "epoch": 0.6793703396851698,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004095,
+      "loss": 6.5174,
+      "mean_token_accuracy": 0.11110908538103104,
+      "num_tokens": 1498819.0,
+      "step": 820
+    },
+    {
+      "entropy": 6.622490644454956,
+      "epoch": 0.6835128417564209,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000412,
+      "loss": 6.501,
+      "mean_token_accuracy": 0.11033953949809075,
+      "num_tokens": 1507852.0,
+      "step": 825
+    },
+    {
+      "entropy": 6.59730544090271,
+      "epoch": 0.6876553438276719,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004145,
+      "loss": 6.5302,
+      "mean_token_accuracy": 0.11122860461473465,
+      "num_tokens": 1517538.0,
+      "step": 830
+    },
+    {
+      "entropy": 6.458763217926025,
+      "epoch": 0.6917978458989229,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000417,
+      "loss": 6.4061,
+      "mean_token_accuracy": 0.11324542313814163,
+      "num_tokens": 1525389.0,
+      "step": 835
+    },
+    {
+      "entropy": 6.57511887550354,
+      "epoch": 0.695940347970174,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004195,
+      "loss": 6.3741,
+      "mean_token_accuracy": 0.11116622686386109,
+      "num_tokens": 1534117.0,
+      "step": 840
+    },
+    {
+      "entropy": 6.522304344177246,
+      "epoch": 0.700082850041425,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000422,
+      "loss": 6.4029,
+      "mean_token_accuracy": 0.11315450444817543,
+      "num_tokens": 1542610.0,
+      "step": 845
+    },
+    {
+      "entropy": 6.5175107479095455,
+      "epoch": 0.704225352112676,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004245,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.1143906556069851,
+      "num_tokens": 1551771.0,
+      "step": 850
+    },
+    {
+      "entropy": 6.620167636871338,
+      "epoch": 0.7083678541839271,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.000427,
+      "loss": 6.5779,
+      "mean_token_accuracy": 0.10512799099087715,
+      "num_tokens": 1560231.0,
+      "step": 855
+    },
+    {
+      "entropy": 6.589151382446289,
+      "epoch": 0.7125103562551781,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004295,
+      "loss": 6.5346,
+      "mean_token_accuracy": 0.10532297939062119,
+      "num_tokens": 1569578.0,
+      "step": 860
+    },
+    {
+      "entropy": 6.563750839233398,
+      "epoch": 0.7166528583264291,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000432,
+      "loss": 6.4187,
+      "mean_token_accuracy": 0.11381370946764946,
+      "num_tokens": 1579308.0,
+      "step": 865
+    },
+    {
+      "entropy": 6.597287034988403,
+      "epoch": 0.7207953603976802,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004345,
+      "loss": 6.6081,
+      "mean_token_accuracy": 0.10267190784215927,
+      "num_tokens": 1589506.0,
+      "step": 870
+    },
+    {
+      "entropy": 6.482245397567749,
+      "epoch": 0.7249378624689312,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000437,
+      "loss": 6.3671,
+      "mean_token_accuracy": 0.11368186473846435,
+      "num_tokens": 1598127.0,
+      "step": 875
+    },
+    {
+      "entropy": 6.548954200744629,
+      "epoch": 0.7290803645401823,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004395,
+      "loss": 6.4125,
+      "mean_token_accuracy": 0.11406067088246345,
+      "num_tokens": 1608073.0,
+      "step": 880
+    },
+    {
+      "entropy": 6.551317119598389,
+      "epoch": 0.7332228666114333,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000442,
+      "loss": 6.4304,
+      "mean_token_accuracy": 0.11178040653467178,
+      "num_tokens": 1616272.0,
+      "step": 885
+    },
+    {
+      "entropy": 6.496135663986206,
+      "epoch": 0.7373653686826843,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004445,
+      "loss": 6.447,
+      "mean_token_accuracy": 0.10845504105091094,
+      "num_tokens": 1625577.0,
+      "step": 890
+    },
+    {
+      "entropy": 6.685812950134277,
+      "epoch": 0.7415078707539354,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000447,
+      "loss": 6.533,
+      "mean_token_accuracy": 0.10158233270049095,
+      "num_tokens": 1634902.0,
+      "step": 895
+    },
+    {
+      "entropy": 6.520436191558838,
+      "epoch": 0.7456503728251864,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00044950000000000003,
+      "loss": 6.4674,
+      "mean_token_accuracy": 0.10865833014249801,
+      "num_tokens": 1644131.0,
+      "step": 900
+    },
+    {
+      "entropy": 6.461379718780518,
+      "epoch": 0.7497928748964374,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00045200000000000004,
+      "loss": 6.3694,
+      "mean_token_accuracy": 0.12158194407820702,
+      "num_tokens": 1652272.0,
+      "step": 905
+    },
+    {
+      "entropy": 6.533070278167725,
+      "epoch": 0.7539353769676885,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00045450000000000004,
+      "loss": 6.4632,
+      "mean_token_accuracy": 0.11447574123740197,
+      "num_tokens": 1660962.0,
+      "step": 910
+    },
+    {
+      "entropy": 6.475569725036621,
+      "epoch": 0.7580778790389395,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045700000000000005,
+      "loss": 6.4006,
+      "mean_token_accuracy": 0.11205699220299721,
+      "num_tokens": 1670570.0,
+      "step": 915
+    },
+    {
+      "entropy": 6.526782608032226,
+      "epoch": 0.7622203811101905,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00045950000000000006,
+      "loss": 6.4497,
+      "mean_token_accuracy": 0.1096197433769703,
+      "num_tokens": 1679674.0,
+      "step": 920
+    },
+    {
+      "entropy": 6.530770015716553,
+      "epoch": 0.7663628831814416,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000462,
+      "loss": 6.4324,
+      "mean_token_accuracy": 0.11466658413410187,
+      "num_tokens": 1688849.0,
+      "step": 925
+    },
+    {
+      "entropy": 6.4163538932800295,
+      "epoch": 0.7705053852526926,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004645,
+      "loss": 6.3128,
+      "mean_token_accuracy": 0.1098814107477665,
+      "num_tokens": 1698565.0,
+      "step": 930
+    },
+    {
+      "entropy": 6.5036052703857425,
+      "epoch": 0.7746478873239436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000467,
+      "loss": 6.3986,
+      "mean_token_accuracy": 0.11683695837855339,
+      "num_tokens": 1708009.0,
+      "step": 935
+    },
+    {
+      "entropy": 6.518198871612549,
+      "epoch": 0.7787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004695,
+      "loss": 6.3878,
+      "mean_token_accuracy": 0.1126109592616558,
+      "num_tokens": 1716497.0,
+      "step": 940
+    },
+    {
+      "entropy": 6.415347719192505,
+      "epoch": 0.7829328914664457,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000472,
+      "loss": 6.4082,
+      "mean_token_accuracy": 0.12070046439766884,
+      "num_tokens": 1725609.0,
+      "step": 945
+    },
+    {
+      "entropy": 6.477306175231933,
+      "epoch": 0.7870753935376967,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004745,
+      "loss": 6.3456,
+      "mean_token_accuracy": 0.11454906165599824,
+      "num_tokens": 1734165.0,
+      "step": 950
+    },
+    {
+      "entropy": 6.454520893096924,
+      "epoch": 0.7912178956089478,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000477,
+      "loss": 6.4546,
+      "mean_token_accuracy": 0.10918105840682983,
+      "num_tokens": 1744856.0,
+      "step": 955
+    },
+    {
+      "entropy": 6.4711943626403805,
+      "epoch": 0.7953603976801988,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004795,
+      "loss": 6.4509,
+      "mean_token_accuracy": 0.10578904524445534,
+      "num_tokens": 1753386.0,
+      "step": 960
+    },
+    {
+      "entropy": 6.4536961078643795,
+      "epoch": 0.7995028997514498,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000482,
+      "loss": 6.3053,
+      "mean_token_accuracy": 0.11872726455330848,
+      "num_tokens": 1762521.0,
+      "step": 965
+    },
+    {
+      "entropy": 6.34936490058899,
+      "epoch": 0.8036454018227009,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004845,
+      "loss": 6.3765,
+      "mean_token_accuracy": 0.11444728896021843,
+      "num_tokens": 1772403.0,
+      "step": 970
+    },
+    {
+      "entropy": 6.375087881088257,
+      "epoch": 0.8077879038939519,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000487,
+      "loss": 6.2884,
+      "mean_token_accuracy": 0.11179185584187508,
+      "num_tokens": 1780924.0,
+      "step": 975
+    },
+    {
+      "entropy": 6.547906732559204,
+      "epoch": 0.8119304059652029,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004895,
+      "loss": 6.4367,
+      "mean_token_accuracy": 0.11225800514221192,
+      "num_tokens": 1789992.0,
+      "step": 980
+    },
+    {
+      "entropy": 6.421040678024292,
+      "epoch": 0.816072908036454,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000492,
+      "loss": 6.3919,
+      "mean_token_accuracy": 0.11761699616909027,
+      "num_tokens": 1799513.0,
+      "step": 985
+    },
+    {
+      "entropy": 6.332476711273193,
+      "epoch": 0.820215410107705,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0004945,
+      "loss": 6.2287,
+      "mean_token_accuracy": 0.11279567033052444,
+      "num_tokens": 1807393.0,
+      "step": 990
+    },
+    {
+      "entropy": 6.438618326187134,
+      "epoch": 0.824357912178956,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000497,
+      "loss": 6.5079,
+      "mean_token_accuracy": 0.10579989776015282,
+      "num_tokens": 1817284.0,
+      "step": 995
+    },
+    {
+      "entropy": 6.449818515777588,
+      "epoch": 0.8285004142502072,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004995,
+      "loss": 6.2996,
+      "mean_token_accuracy": 0.11799877136945724,
+      "num_tokens": 1825591.0,
+      "step": 1000
+    },
+    {
+      "epoch": 0.8285004142502072,
+      "eval_entropy": 6.222835092402216,
+      "eval_loss": 6.475013256072998,
+      "eval_mean_token_accuracy": 0.11269166863866961,
+      "eval_num_tokens": 1825591.0,
+      "eval_runtime": 2.7611,
+      "eval_samples_per_second": 1357.068,
+      "eval_steps_per_second": 169.86,
+      "step": 1000
+    },
+    {
+      "entropy": 6.457831478118896,
+      "epoch": 0.8326429163214581,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0004999998547681232,
+      "loss": 6.3959,
+      "mean_token_accuracy": 0.11798396334052086,
+      "num_tokens": 1834655.0,
+      "step": 1005
+    },
+    {
+      "entropy": 6.26599349975586,
+      "epoch": 0.8367854183927091,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004999992647639447,
+      "loss": 6.2578,
+      "mean_token_accuracy": 0.11858200430870056,
+      "num_tokens": 1844187.0,
+      "step": 1010
+    },
+    {
+      "entropy": 6.415271520614624,
+      "epoch": 0.8409279204639603,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999982209116618,
+      "loss": 6.3345,
+      "mean_token_accuracy": 0.11406200677156449,
+      "num_tokens": 1852768.0,
+      "step": 1015
+    },
+    {
+      "entropy": 6.355557584762574,
+      "epoch": 0.8450704225352113,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004999967232133796,
+      "loss": 6.3913,
+      "mean_token_accuracy": 0.12348653748631477,
+      "num_tokens": 1862095.0,
+      "step": 1020
+    },
+    {
+      "entropy": 6.427043008804321,
+      "epoch": 0.8492129246064622,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004999947716721196,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.10961534604430198,
+      "num_tokens": 1871239.0,
+      "step": 1025
+    },
+    {
+      "entropy": 6.509608554840088,
+      "epoch": 0.8533554266777134,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004999923662918179,
+      "loss": 6.4323,
+      "mean_token_accuracy": 0.11334251016378402,
+      "num_tokens": 1880065.0,
+      "step": 1030
+    },
+    {
+      "entropy": 6.417975521087646,
+      "epoch": 0.8574979287489644,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999895070773266,
+      "loss": 6.4608,
+      "mean_token_accuracy": 0.10985229611396789,
+      "num_tokens": 1889065.0,
+      "step": 1035
+    },
+    {
+      "entropy": 6.429206514358521,
+      "epoch": 0.8616404308202155,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999861940344129,
+      "loss": 6.4721,
+      "mean_token_accuracy": 0.11190373301506043,
+      "num_tokens": 1898238.0,
+      "step": 1040
+    },
+    {
+      "entropy": 6.462369585037232,
+      "epoch": 0.8657829328914665,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004999824271697597,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.12136606723070145,
+      "num_tokens": 1906780.0,
+      "step": 1045
+    },
+    {
+      "entropy": 6.506088638305664,
+      "epoch": 0.8699254349627175,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000499978206490965,
+      "loss": 6.4745,
+      "mean_token_accuracy": 0.11197563111782075,
+      "num_tokens": 1916183.0,
+      "step": 1050
+    },
+    {
+      "entropy": 6.427097368240356,
+      "epoch": 0.8740679370339686,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999735320065427,
+      "loss": 6.3371,
+      "mean_token_accuracy": 0.11927392706274986,
+      "num_tokens": 1925382.0,
+      "step": 1055
+    },
+    {
+      "entropy": 6.292429256439209,
+      "epoch": 0.8782104391052196,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999684037259216,
+      "loss": 6.1827,
+      "mean_token_accuracy": 0.1270924136042595,
+      "num_tokens": 1933639.0,
+      "step": 1060
+    },
+    {
+      "entropy": 6.3600146770477295,
+      "epoch": 0.8823529411764706,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999628216594456,
+      "loss": 6.464,
+      "mean_token_accuracy": 0.11409285366535186,
+      "num_tokens": 1943044.0,
+      "step": 1065
+    },
+    {
+      "entropy": 6.460871028900146,
+      "epoch": 0.8864954432477217,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000499956785818375,
+      "loss": 6.303,
+      "mean_token_accuracy": 0.11871922463178634,
+      "num_tokens": 1951777.0,
+      "step": 1070
+    },
+    {
+      "entropy": 6.376981210708618,
+      "epoch": 0.8906379453189727,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004999502962148843,
+      "loss": 6.3666,
+      "mean_token_accuracy": 0.1170460693538189,
+      "num_tokens": 1961356.0,
+      "step": 1075
+    },
+    {
+      "entropy": 6.439280414581299,
+      "epoch": 0.8947804473902237,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000499943352862064,
+      "loss": 6.4248,
+      "mean_token_accuracy": 0.11459407210350037,
+      "num_tokens": 1970341.0,
+      "step": 1080
+    },
+    {
+      "entropy": 6.394289827346801,
+      "epoch": 0.8989229494614748,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004999359557739194,
+      "loss": 6.2796,
+      "mean_token_accuracy": 0.12198276743292809,
+      "num_tokens": 1978576.0,
+      "step": 1085
+    },
+    {
+      "entropy": 6.319045782089233,
+      "epoch": 0.9030654515327258,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004999281049653713,
+      "loss": 6.3227,
+      "mean_token_accuracy": 0.11601013913750649,
+      "num_tokens": 1987229.0,
+      "step": 1090
+    },
+    {
+      "entropy": 6.376017141342163,
+      "epoch": 0.9072079536039768,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999198004522557,
+      "loss": 6.261,
+      "mean_token_accuracy": 0.12269015237689018,
+      "num_tokens": 1996473.0,
+      "step": 1095
+    },
+    {
+      "entropy": 6.2405853271484375,
+      "epoch": 0.9113504556752279,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999110422513237,
+      "loss": 6.286,
+      "mean_token_accuracy": 0.12056776732206345,
+      "num_tokens": 2005551.0,
+      "step": 1100
+    },
+    {
+      "entropy": 6.398191165924072,
+      "epoch": 0.9154929577464789,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999018303802414,
+      "loss": 6.3869,
+      "mean_token_accuracy": 0.11947718560695648,
+      "num_tokens": 2015012.0,
+      "step": 1105
+    },
+    {
+      "entropy": 6.374700450897217,
+      "epoch": 0.9196354598177299,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004998921648575904,
+      "loss": 6.3999,
+      "mean_token_accuracy": 0.1203969657421112,
+      "num_tokens": 2024435.0,
+      "step": 1110
+    },
+    {
+      "entropy": 6.380674362182617,
+      "epoch": 0.923777961888981,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004998820457028669,
+      "loss": 6.3005,
+      "mean_token_accuracy": 0.12089794874191284,
+      "num_tokens": 2033991.0,
+      "step": 1115
+    },
+    {
+      "entropy": 6.409522771835327,
+      "epoch": 0.927920463960232,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998714729364824,
+      "loss": 6.3017,
+      "mean_token_accuracy": 0.1228084571659565,
+      "num_tokens": 2043117.0,
+      "step": 1120
+    },
+    {
+      "entropy": 6.326260423660278,
+      "epoch": 0.932062966031483,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004998604465797634,
+      "loss": 6.3305,
+      "mean_token_accuracy": 0.11992078274488449,
+      "num_tokens": 2052304.0,
+      "step": 1125
+    },
+    {
+      "entropy": 6.251798295974732,
+      "epoch": 0.9362054681027341,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998489666549512,
+      "loss": 6.2779,
+      "mean_token_accuracy": 0.12114684730768203,
+      "num_tokens": 2061217.0,
+      "step": 1130
+    },
+    {
+      "entropy": 6.319644594192505,
+      "epoch": 0.9403479701739851,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.0004998370331852021,
+      "loss": 6.2517,
+      "mean_token_accuracy": 0.11879112273454666,
+      "num_tokens": 2070796.0,
+      "step": 1135
+    },
+    {
+      "entropy": 6.465651321411133,
+      "epoch": 0.9444904722452361,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004998246461945872,
+      "loss": 6.4037,
+      "mean_token_accuracy": 0.12191760018467904,
+      "num_tokens": 2080202.0,
+      "step": 1140
+    },
+    {
+      "entropy": 6.320812797546386,
+      "epoch": 0.9486329743164872,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004998118057080923,
+      "loss": 6.3045,
+      "mean_token_accuracy": 0.11891168132424354,
+      "num_tokens": 2089788.0,
+      "step": 1145
+    },
+    {
+      "entropy": 6.301202344894409,
+      "epoch": 0.9527754763877382,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004997985117516183,
+      "loss": 6.3462,
+      "mean_token_accuracy": 0.11142431199550629,
+      "num_tokens": 2098727.0,
+      "step": 1150
+    },
+    {
+      "entropy": 6.344118309020996,
+      "epoch": 0.9569179784589892,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997847643519803,
+      "loss": 6.226,
+      "mean_token_accuracy": 0.11924557387828827,
+      "num_tokens": 2107645.0,
+      "step": 1155
+    },
+    {
+      "entropy": 6.1790977954864506,
+      "epoch": 0.9610604805302403,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997705635369085,
+      "loss": 6.1991,
+      "mean_token_accuracy": 0.11988648250699044,
+      "num_tokens": 2116613.0,
+      "step": 1160
+    },
+    {
+      "entropy": 6.284418439865112,
+      "epoch": 0.9652029826014913,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004997559093350474,
+      "loss": 6.1881,
+      "mean_token_accuracy": 0.12116428092122078,
+      "num_tokens": 2125585.0,
+      "step": 1165
+    },
+    {
+      "entropy": 6.396596622467041,
+      "epoch": 0.9693454846727423,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004997408017759562,
+      "loss": 6.3359,
+      "mean_token_accuracy": 0.11936862170696258,
+      "num_tokens": 2134795.0,
+      "step": 1170
+    },
+    {
+      "entropy": 6.273751878738404,
+      "epoch": 0.9734879867439934,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004997252408901084,
+      "loss": 6.3271,
+      "mean_token_accuracy": 0.11899949684739113,
+      "num_tokens": 2143699.0,
+      "step": 1175
+    },
+    {
+      "entropy": 6.386678028106689,
+      "epoch": 0.9776304888152444,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004997092267088922,
+      "loss": 6.2707,
+      "mean_token_accuracy": 0.11861606612801552,
+      "num_tokens": 2152187.0,
+      "step": 1180
+    },
+    {
+      "entropy": 6.275117111206055,
+      "epoch": 0.9817729908864954,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004996927592646097,
+      "loss": 6.3412,
+      "mean_token_accuracy": 0.11767763197422028,
+      "num_tokens": 2160941.0,
+      "step": 1185
+    },
+    {
+      "entropy": 6.339710283279419,
+      "epoch": 0.9859154929577465,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004996758385904776,
+      "loss": 6.3119,
+      "mean_token_accuracy": 0.11789651140570641,
+      "num_tokens": 2168946.0,
+      "step": 1190
+    },
+    {
+      "entropy": 6.181374216079712,
+      "epoch": 0.9900579950289975,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004996584647206269,
+      "loss": 6.2237,
+      "mean_token_accuracy": 0.12055367529392243,
+      "num_tokens": 2177662.0,
+      "step": 1195
+    },
+    {
+      "entropy": 6.316773986816406,
+      "epoch": 0.9942004971002486,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004996406376901026,
+      "loss": 6.3268,
+      "mean_token_accuracy": 0.12757316455245019,
+      "num_tokens": 2187461.0,
+      "step": 1200
+    },
+    {
+      "entropy": 6.283385133743286,
+      "epoch": 0.9983429991714996,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004996223575348635,
+      "loss": 6.2207,
+      "mean_token_accuracy": 0.12578138560056687,
+      "num_tokens": 2196878.0,
+      "step": 1205
+    },
+    {
+      "entropy": 6.311019659042358,
+      "epoch": 1.0024855012427507,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004996036242917828,
+      "loss": 6.2021,
+      "mean_token_accuracy": 0.1151522897183895,
+      "num_tokens": 2206178.0,
+      "step": 1210
+    },
+    {
+      "entropy": 6.25421667098999,
+      "epoch": 1.0066280033140016,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004995844379986476,
+      "loss": 6.0526,
+      "mean_token_accuracy": 0.12476176023483276,
+      "num_tokens": 2215330.0,
+      "step": 1215
+    },
+    {
+      "entropy": 6.309921216964722,
+      "epoch": 1.0107705053852527,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004995647986941587,
+      "loss": 6.0354,
+      "mean_token_accuracy": 0.13005029112100602,
+      "num_tokens": 2224146.0,
+      "step": 1220
+    },
+    {
+      "entropy": 6.241363286972046,
+      "epoch": 1.0149130074565038,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004995447064179308,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13421598002314566,
+      "num_tokens": 2233646.0,
+      "step": 1225
+    },
+    {
+      "entropy": 6.058859920501709,
+      "epoch": 1.0190555095277547,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.000499524161210492,
+      "loss": 5.9379,
+      "mean_token_accuracy": 0.12560308948159218,
+      "num_tokens": 2243663.0,
+      "step": 1230
+    },
+    {
+      "entropy": 6.270004224777222,
+      "epoch": 1.0231980115990058,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004995031631132844,
+      "loss": 6.1035,
+      "mean_token_accuracy": 0.13170127123594283,
+      "num_tokens": 2252564.0,
+      "step": 1235
+    },
+    {
+      "entropy": 6.2710247993469235,
+      "epoch": 1.027340513670257,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004994817121686633,
+      "loss": 6.099,
+      "mean_token_accuracy": 0.12465815395116805,
+      "num_tokens": 2262504.0,
+      "step": 1240
+    },
+    {
+      "entropy": 6.193396997451782,
+      "epoch": 1.0314830157415078,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004994598084198979,
+      "loss": 5.9843,
+      "mean_token_accuracy": 0.1374910719692707,
+      "num_tokens": 2270553.0,
+      "step": 1245
+    },
+    {
+      "entropy": 6.136552810668945,
+      "epoch": 1.035625517812759,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004994374519111701,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.1272726461291313,
+      "num_tokens": 2279319.0,
+      "step": 1250
+    },
+    {
+      "entropy": 6.217378282546997,
+      "epoch": 1.03976801988401,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004994146426875757,
+      "loss": 6.123,
+      "mean_token_accuracy": 0.126935476064682,
+      "num_tokens": 2288749.0,
+      "step": 1255
+    },
+    {
+      "entropy": 6.218695068359375,
+      "epoch": 1.043910521955261,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004993913807951232,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.12562426924705505,
+      "num_tokens": 2298272.0,
+      "step": 1260
+    },
+    {
+      "entropy": 6.221994352340698,
+      "epoch": 1.048053024026512,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004993676662807345,
+      "loss": 6.047,
+      "mean_token_accuracy": 0.12884460240602494,
+      "num_tokens": 2307230.0,
+      "step": 1265
+    },
+    {
+      "entropy": 6.183428144454956,
+      "epoch": 1.0521955260977631,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004993434991922443,
+      "loss": 6.1317,
+      "mean_token_accuracy": 0.12460145726799965,
+      "num_tokens": 2316306.0,
+      "step": 1270
+    },
+    {
+      "entropy": 6.22090425491333,
+      "epoch": 1.056338028169014,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004993188795784002,
+      "loss": 6.0531,
+      "mean_token_accuracy": 0.1241947129368782,
+      "num_tokens": 2325672.0,
+      "step": 1275
+    },
+    {
+      "entropy": 6.1453857421875,
+      "epoch": 1.0604805302402651,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004992938074888628,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.1274007849395275,
+      "num_tokens": 2335251.0,
+      "step": 1280
+    },
+    {
+      "entropy": 6.180039167404175,
+      "epoch": 1.0646230323115162,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004992682829742052,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.1308726042509079,
+      "num_tokens": 2344054.0,
+      "step": 1285
+    },
+    {
+      "entropy": 6.086296463012696,
+      "epoch": 1.0687655343827671,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004992423060859132,
+      "loss": 6.0236,
+      "mean_token_accuracy": 0.127706591039896,
+      "num_tokens": 2353493.0,
+      "step": 1290
+    },
+    {
+      "entropy": 6.223158740997315,
+      "epoch": 1.0729080364540182,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004992158768763849,
+      "loss": 6.1321,
+      "mean_token_accuracy": 0.12850543335080147,
+      "num_tokens": 2362687.0,
+      "step": 1295
+    },
+    {
+      "entropy": 6.2506636619567875,
+      "epoch": 1.0770505385252693,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004991889953989308,
+      "loss": 6.0965,
+      "mean_token_accuracy": 0.12563316524028778,
+      "num_tokens": 2372325.0,
+      "step": 1300
+    },
+    {
+      "entropy": 6.173602199554443,
+      "epoch": 1.0811930405965202,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004991616617077741,
+      "loss": 6.12,
+      "mean_token_accuracy": 0.1287991665303707,
+      "num_tokens": 2381987.0,
+      "step": 1305
+    },
+    {
+      "entropy": 6.307486963272095,
+      "epoch": 1.0853355426677713,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004991338758580496,
+      "loss": 6.0234,
+      "mean_token_accuracy": 0.13178783878684044,
+      "num_tokens": 2390901.0,
+      "step": 1310
+    },
+    {
+      "entropy": 6.034789133071899,
+      "epoch": 1.0894780447390224,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004991056379058045,
+      "loss": 6.0813,
+      "mean_token_accuracy": 0.12450421676039695,
+      "num_tokens": 2400756.0,
+      "step": 1315
+    },
+    {
+      "entropy": 6.188017988204956,
+      "epoch": 1.0936205468102733,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004990769479079976,
+      "loss": 5.9232,
+      "mean_token_accuracy": 0.12984196096658707,
+      "num_tokens": 2409526.0,
+      "step": 1320
+    },
+    {
+      "entropy": 6.086554956436157,
+      "epoch": 1.0977630488815244,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004990478059225003,
+      "loss": 6.0931,
+      "mean_token_accuracy": 0.12972966134548186,
+      "num_tokens": 2419583.0,
+      "step": 1325
+    },
+    {
+      "entropy": 6.2457873821258545,
+      "epoch": 1.1019055509527755,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004990182120080945,
+      "loss": 6.0338,
+      "mean_token_accuracy": 0.12990806251764297,
+      "num_tokens": 2429439.0,
+      "step": 1330
+    },
+    {
+      "entropy": 6.078778219223023,
+      "epoch": 1.1060480530240264,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004989881662244748,
+      "loss": 6.0416,
+      "mean_token_accuracy": 0.12380676046013832,
+      "num_tokens": 2438467.0,
+      "step": 1335
+    },
+    {
+      "entropy": 6.138932418823242,
+      "epoch": 1.1101905550952775,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004989576686322468,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.1332716926932335,
+      "num_tokens": 2446619.0,
+      "step": 1340
+    },
+    {
+      "entropy": 6.1281578540802,
+      "epoch": 1.1143330571665286,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004989267192929272,
+      "loss": 6.0379,
+      "mean_token_accuracy": 0.12955363765358924,
+      "num_tokens": 2454998.0,
+      "step": 1345
+    },
+    {
+      "entropy": 6.09554443359375,
+      "epoch": 1.1184755592377795,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004988953182689445,
+      "loss": 6.0072,
+      "mean_token_accuracy": 0.13532012328505516,
+      "num_tokens": 2463497.0,
+      "step": 1350
+    },
+    {
+      "entropy": 6.134703922271728,
+      "epoch": 1.1226180613090306,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004988634656236378,
+      "loss": 5.9216,
+      "mean_token_accuracy": 0.13609320148825646,
+      "num_tokens": 2471763.0,
+      "step": 1355
+    },
+    {
+      "entropy": 6.145527791976929,
+      "epoch": 1.1267605633802817,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004988311614212576,
+      "loss": 6.0016,
+      "mean_token_accuracy": 0.1402701161801815,
+      "num_tokens": 2479949.0,
+      "step": 1360
+    },
+    {
+      "entropy": 6.116470623016357,
+      "epoch": 1.1309030654515326,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004987984057269648,
+      "loss": 6.0539,
+      "mean_token_accuracy": 0.13444141745567323,
+      "num_tokens": 2489097.0,
+      "step": 1365
+    },
+    {
+      "entropy": 5.972180604934692,
+      "epoch": 1.1350455675227837,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004987651986068311,
+      "loss": 5.8781,
+      "mean_token_accuracy": 0.13601028621196748,
+      "num_tokens": 2497625.0,
+      "step": 1370
+    },
+    {
+      "entropy": 6.143597984313965,
+      "epoch": 1.1391880695940348,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004987315401278394,
+      "loss": 6.1252,
+      "mean_token_accuracy": 0.1272761717438698,
+      "num_tokens": 2507107.0,
+      "step": 1375
+    },
+    {
+      "entropy": 6.286170959472656,
+      "epoch": 1.143330571665286,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004986974303578819,
+      "loss": 6.1408,
+      "mean_token_accuracy": 0.12348597794771195,
+      "num_tokens": 2516629.0,
+      "step": 1380
+    },
+    {
+      "entropy": 6.077923250198364,
+      "epoch": 1.1474730737365368,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004986628693657621,
+      "loss": 6.021,
+      "mean_token_accuracy": 0.1280151717364788,
+      "num_tokens": 2525924.0,
+      "step": 1385
+    },
+    {
+      "entropy": 6.229060649871826,
+      "epoch": 1.151615575807788,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004986278572211933,
+      "loss": 6.1723,
+      "mean_token_accuracy": 0.1280426375567913,
+      "num_tokens": 2535586.0,
+      "step": 1390
+    },
+    {
+      "entropy": 6.189875984191895,
+      "epoch": 1.1557580778790388,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004985923939947987,
+      "loss": 6.2595,
+      "mean_token_accuracy": 0.1247698113322258,
+      "num_tokens": 2546685.0,
+      "step": 1395
+    },
+    {
+      "entropy": 6.148470640182495,
+      "epoch": 1.15990057995029,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004985564797581115,
+      "loss": 5.9681,
+      "mean_token_accuracy": 0.12971177995204924,
+      "num_tokens": 2556873.0,
+      "step": 1400
+    },
+    {
+      "entropy": 6.143459701538086,
+      "epoch": 1.164043082021541,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004985201145835747,
+      "loss": 5.9836,
+      "mean_token_accuracy": 0.13127154856920242,
+      "num_tokens": 2565222.0,
+      "step": 1405
+    },
+    {
+      "entropy": 6.031957960128784,
+      "epoch": 1.1681855840927922,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.000498483298544541,
+      "loss": 5.9875,
+      "mean_token_accuracy": 0.13211632743477822,
+      "num_tokens": 2575467.0,
+      "step": 1410
+    },
+    {
+      "entropy": 6.136318731307983,
+      "epoch": 1.172328086164043,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000498446031715272,
+      "loss": 6.0125,
+      "mean_token_accuracy": 0.13508019223809242,
+      "num_tokens": 2583963.0,
+      "step": 1415
+    },
+    {
+      "entropy": 6.133963680267334,
+      "epoch": 1.1764705882352942,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004984083141709391,
+      "loss": 6.042,
+      "mean_token_accuracy": 0.13524071872234344,
+      "num_tokens": 2593350.0,
+      "step": 1420
+    },
+    {
+      "entropy": 5.975436115264893,
+      "epoch": 1.180613090306545,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000498370145987623,
+      "loss": 5.9652,
+      "mean_token_accuracy": 0.13682079091668128,
+      "num_tokens": 2602191.0,
+      "step": 1425
+    },
+    {
+      "entropy": 6.170718050003051,
+      "epoch": 1.1847555923777962,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004983315272423127,
+      "loss": 6.0999,
+      "mean_token_accuracy": 0.1291058838367462,
+      "num_tokens": 2613590.0,
+      "step": 1430
+    },
+    {
+      "entropy": 6.049332237243652,
+      "epoch": 1.1888980944490473,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004982924580129066,
+      "loss": 5.8895,
+      "mean_token_accuracy": 0.1340464949607849,
+      "num_tokens": 2622072.0,
+      "step": 1435
+    },
+    {
+      "entropy": 6.093293142318726,
+      "epoch": 1.1930405965202984,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004982529383782116,
+      "loss": 6.1012,
+      "mean_token_accuracy": 0.13022035285830497,
+      "num_tokens": 2630904.0,
+      "step": 1440
+    },
+    {
+      "entropy": 6.189996242523193,
+      "epoch": 1.1971830985915493,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004982129684179432,
+      "loss": 6.0594,
+      "mean_token_accuracy": 0.13088259026408194,
+      "num_tokens": 2639925.0,
+      "step": 1445
+    },
+    {
+      "entropy": 6.1187131881713865,
+      "epoch": 1.2013256006628004,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004981725482127251,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.13439981341362,
+      "num_tokens": 2649397.0,
+      "step": 1450
+    },
+    {
+      "entropy": 6.16315655708313,
+      "epoch": 1.2054681027340513,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004981316778440892,
+      "loss": 6.081,
+      "mean_token_accuracy": 0.13515593931078912,
+      "num_tokens": 2658877.0,
+      "step": 1455
+    },
+    {
+      "entropy": 6.063838720321655,
+      "epoch": 1.2096106048053024,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004980903573944756,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13121431767940522,
+      "num_tokens": 2668518.0,
+      "step": 1460
+    },
+    {
+      "entropy": 6.059180212020874,
+      "epoch": 1.2137531068765535,
+      "grad_norm": 1.0078125,
+      "learning_rate": 0.0004980485869472322,
+      "loss": 6.1148,
+      "mean_token_accuracy": 0.12996160089969636,
+      "num_tokens": 2677459.0,
+      "step": 1465
+    },
+    {
+      "entropy": 6.223527908325195,
+      "epoch": 1.2178956089478046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004980063665866143,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12482839822769165,
+      "num_tokens": 2686668.0,
+      "step": 1470
+    },
+    {
+      "entropy": 5.935272264480591,
+      "epoch": 1.2220381110190555,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004979636963977853,
+      "loss": 5.8825,
+      "mean_token_accuracy": 0.1352998949587345,
+      "num_tokens": 2695545.0,
+      "step": 1475
+    },
+    {
+      "entropy": 6.066101598739624,
+      "epoch": 1.2261806130903066,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004979205764668156,
+      "loss": 6.0569,
+      "mean_token_accuracy": 0.13228241056203843,
+      "num_tokens": 2705514.0,
+      "step": 1480
+    },
+    {
+      "entropy": 6.138315343856812,
+      "epoch": 1.2303231151615575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004978770068806825,
+      "loss": 5.9599,
+      "mean_token_accuracy": 0.13136665150523186,
+      "num_tokens": 2714373.0,
+      "step": 1485
+    },
+    {
+      "entropy": 6.061770391464234,
+      "epoch": 1.2344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.000497832987727271,
+      "loss": 6.0715,
+      "mean_token_accuracy": 0.1264137916266918,
+      "num_tokens": 2723887.0,
+      "step": 1490
+    },
+    {
+      "entropy": 6.061756038665772,
+      "epoch": 1.2386081193040597,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004977885190953724,
+      "loss": 5.956,
+      "mean_token_accuracy": 0.13353569880127908,
+      "num_tokens": 2733591.0,
+      "step": 1495
+    },
+    {
+      "entropy": 6.104292392730713,
+      "epoch": 1.2427506213753108,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004977436010746846,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.13720986992120743,
+      "num_tokens": 2741638.0,
+      "step": 1500
+    },
+    {
+      "epoch": 1.2427506213753108,
+      "eval_entropy": 6.029743814773397,
+      "eval_loss": 6.2611613273620605,
+      "eval_mean_token_accuracy": 0.12890694399219332,
+      "eval_num_tokens": 2741638.0,
+      "eval_runtime": 2.9518,
+      "eval_samples_per_second": 1269.399,
+      "eval_steps_per_second": 158.887,
+      "step": 1500
+    },
+    {
+      "entropy": 6.078821802139283,
+      "epoch": 1.2468931234465617,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004976982337558124,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13084649220108985,
+      "num_tokens": 2749711.0,
+      "step": 1505
+    },
+    {
+      "entropy": 6.094208097457885,
+      "epoch": 1.2510356255178128,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004976524172302665,
+      "loss": 6.121,
+      "mean_token_accuracy": 0.13192041367292404,
+      "num_tokens": 2758121.0,
+      "step": 1510
+    },
+    {
+      "entropy": 6.159745693206787,
+      "epoch": 1.2551781275890637,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004976061515904641,
+      "loss": 6.1181,
+      "mean_token_accuracy": 0.12667254582047463,
+      "num_tokens": 2766764.0,
+      "step": 1515
+    },
+    {
+      "entropy": 6.116680526733399,
+      "epoch": 1.2593206296603148,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004975594369297277,
+      "loss": 6.0557,
+      "mean_token_accuracy": 0.1348518520593643,
+      "num_tokens": 2775561.0,
+      "step": 1520
+    },
+    {
+      "entropy": 6.08063235282898,
+      "epoch": 1.2634631317315659,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004975122733422861,
+      "loss": 6.0201,
+      "mean_token_accuracy": 0.13085112273693084,
+      "num_tokens": 2784691.0,
+      "step": 1525
+    },
+    {
+      "entropy": 6.129113435745239,
+      "epoch": 1.267605633802817,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004974646609232732,
+      "loss": 5.9816,
+      "mean_token_accuracy": 0.13641836866736412,
+      "num_tokens": 2793893.0,
+      "step": 1530
+    },
+    {
+      "entropy": 6.108260202407837,
+      "epoch": 1.2717481358740679,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004974165997687288,
+      "loss": 6.0751,
+      "mean_token_accuracy": 0.13353196606040002,
+      "num_tokens": 2804479.0,
+      "step": 1535
+    },
+    {
+      "entropy": 6.16022138595581,
+      "epoch": 1.275890637945319,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004973680899755972,
+      "loss": 6.107,
+      "mean_token_accuracy": 0.1326654002070427,
+      "num_tokens": 2813966.0,
+      "step": 1540
+    },
+    {
+      "entropy": 6.007886743545532,
+      "epoch": 1.2800331400165699,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000497319131641728,
+      "loss": 5.9326,
+      "mean_token_accuracy": 0.13846119418740271,
+      "num_tokens": 2822328.0,
+      "step": 1545
+    },
+    {
+      "entropy": 6.003260755538941,
+      "epoch": 1.284175642087821,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004972697248658755,
+      "loss": 5.8899,
+      "mean_token_accuracy": 0.14066707715392113,
+      "num_tokens": 2829845.0,
+      "step": 1550
+    },
+    {
+      "entropy": 5.948832178115845,
+      "epoch": 1.288318144159072,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004972198697476987,
+      "loss": 5.8783,
+      "mean_token_accuracy": 0.13914238885045052,
+      "num_tokens": 2839040.0,
+      "step": 1555
+    },
+    {
+      "entropy": 5.961882209777832,
+      "epoch": 1.2924606462303232,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004971695663877607,
+      "loss": 5.9665,
+      "mean_token_accuracy": 0.13561231270432472,
+      "num_tokens": 2848574.0,
+      "step": 1560
+    },
+    {
+      "entropy": 6.077086877822876,
+      "epoch": 1.296603148301574,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004971188148875289,
+      "loss": 5.9421,
+      "mean_token_accuracy": 0.14444561377167703,
+      "num_tokens": 2856812.0,
+      "step": 1565
+    },
+    {
+      "entropy": 6.051652336120606,
+      "epoch": 1.3007456503728252,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004970676153493748,
+      "loss": 6.0283,
+      "mean_token_accuracy": 0.13189572617411613,
+      "num_tokens": 2866001.0,
+      "step": 1570
+    },
+    {
+      "entropy": 6.1068840503692625,
+      "epoch": 1.3048881524440763,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004970159678765731,
+      "loss": 6.0164,
+      "mean_token_accuracy": 0.13239546120166779,
+      "num_tokens": 2875181.0,
+      "step": 1575
+    },
+    {
+      "entropy": 6.049808597564697,
+      "epoch": 1.3090306545153272,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004969638725733028,
+      "loss": 5.9587,
+      "mean_token_accuracy": 0.13397156223654746,
+      "num_tokens": 2885103.0,
+      "step": 1580
+    },
+    {
+      "entropy": 5.92131872177124,
+      "epoch": 1.3131731565865783,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004969113295446455,
+      "loss": 5.9116,
+      "mean_token_accuracy": 0.1383065924048424,
+      "num_tokens": 2894055.0,
+      "step": 1585
+    },
+    {
+      "entropy": 6.116864538192749,
+      "epoch": 1.3173156586578294,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004968583388965863,
+      "loss": 5.9846,
+      "mean_token_accuracy": 0.133075200766325,
+      "num_tokens": 2903391.0,
+      "step": 1590
+    },
+    {
+      "entropy": 6.006745624542236,
+      "epoch": 1.3214581607290803,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004968049007360132,
+      "loss": 5.9854,
+      "mean_token_accuracy": 0.13297903537750244,
+      "num_tokens": 2911760.0,
+      "step": 1595
+    },
+    {
+      "entropy": 5.926331329345703,
+      "epoch": 1.3256006628003314,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004967510151707169,
+      "loss": 5.9369,
+      "mean_token_accuracy": 0.13469143435359002,
+      "num_tokens": 2920589.0,
+      "step": 1600
+    },
+    {
+      "entropy": 6.15295524597168,
+      "epoch": 1.3297431648715825,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004966966823093903,
+      "loss": 6.0746,
+      "mean_token_accuracy": 0.1302391268312931,
+      "num_tokens": 2929635.0,
+      "step": 1605
+    },
+    {
+      "entropy": 5.986531114578247,
+      "epoch": 1.3338856669428334,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004966419022616287,
+      "loss": 5.9349,
+      "mean_token_accuracy": 0.13593596145510672,
+      "num_tokens": 2938778.0,
+      "step": 1610
+    },
+    {
+      "entropy": 6.039755535125733,
+      "epoch": 1.3380281690140845,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004965866751379296,
+      "loss": 6.0503,
+      "mean_token_accuracy": 0.13109695687890052,
+      "num_tokens": 2947836.0,
+      "step": 1615
+    },
+    {
+      "entropy": 6.133180904388428,
+      "epoch": 1.3421706710853356,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004965310010496922,
+      "loss": 6.0032,
+      "mean_token_accuracy": 0.1280514419078827,
+      "num_tokens": 2957028.0,
+      "step": 1620
+    },
+    {
+      "entropy": 6.026159048080444,
+      "epoch": 1.3463131731565865,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004964748801092168,
+      "loss": 5.9571,
+      "mean_token_accuracy": 0.1338861681520939,
+      "num_tokens": 2966088.0,
+      "step": 1625
+    },
+    {
+      "entropy": 6.078959226608276,
+      "epoch": 1.3504556752278376,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004964183124297059,
+      "loss": 6.0438,
+      "mean_token_accuracy": 0.13178688064217567,
+      "num_tokens": 2975271.0,
+      "step": 1630
+    },
+    {
+      "entropy": 5.992210865020752,
+      "epoch": 1.3545981772990887,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004963612981252625,
+      "loss": 6.0524,
+      "mean_token_accuracy": 0.1321226365864277,
+      "num_tokens": 2983799.0,
+      "step": 1635
+    },
+    {
+      "entropy": 6.056794929504394,
+      "epoch": 1.3587406793703396,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004963038373108908,
+      "loss": 6.0179,
+      "mean_token_accuracy": 0.13609340488910676,
+      "num_tokens": 2992675.0,
+      "step": 1640
+    },
+    {
+      "entropy": 6.155933427810669,
+      "epoch": 1.3628831814415907,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004962459301024954,
+      "loss": 6.0838,
+      "mean_token_accuracy": 0.13211635649204254,
+      "num_tokens": 3002483.0,
+      "step": 1645
+    },
+    {
+      "entropy": 6.027872896194458,
+      "epoch": 1.3670256835128418,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004961875766168816,
+      "loss": 5.985,
+      "mean_token_accuracy": 0.13883458971977233,
+      "num_tokens": 3010611.0,
+      "step": 1650
+    },
+    {
+      "entropy": 6.057289028167725,
+      "epoch": 1.371168185584093,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004961287769717547,
+      "loss": 5.9397,
+      "mean_token_accuracy": 0.13197456523776055,
+      "num_tokens": 3019928.0,
+      "step": 1655
+    },
+    {
+      "entropy": 5.9325989246368405,
+      "epoch": 1.3753106876553438,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004960695312857199,
+      "loss": 5.9279,
+      "mean_token_accuracy": 0.13408055454492568,
+      "num_tokens": 3029003.0,
+      "step": 1660
+    },
+    {
+      "entropy": 6.0389604568481445,
+      "epoch": 1.379453189726595,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004960098396782824,
+      "loss": 5.9464,
+      "mean_token_accuracy": 0.1375861033797264,
+      "num_tokens": 3038049.0,
+      "step": 1665
+    },
+    {
+      "entropy": 5.969662141799927,
+      "epoch": 1.3835956917978458,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004959497022698466,
+      "loss": 5.9515,
+      "mean_token_accuracy": 0.14408120438456534,
+      "num_tokens": 3046674.0,
+      "step": 1670
+    },
+    {
+      "entropy": 6.0561059474945065,
+      "epoch": 1.387738193869097,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004958891191817163,
+      "loss": 5.9927,
+      "mean_token_accuracy": 0.12801324650645257,
+      "num_tokens": 3056459.0,
+      "step": 1675
+    },
+    {
+      "entropy": 6.032327270507812,
+      "epoch": 1.391880695940348,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000495828090536094,
+      "loss": 5.9845,
+      "mean_token_accuracy": 0.13036760538816453,
+      "num_tokens": 3066294.0,
+      "step": 1680
+    },
+    {
+      "entropy": 6.0512574195861815,
+      "epoch": 1.3960231980115991,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004957666164560815,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13139644563198088,
+      "num_tokens": 3075420.0,
+      "step": 1685
+    },
+    {
+      "entropy": 6.063203239440918,
+      "epoch": 1.40016570008285,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004957046970656784,
+      "loss": 6.0385,
+      "mean_token_accuracy": 0.13581736162304878,
+      "num_tokens": 3084373.0,
+      "step": 1690
+    },
+    {
+      "entropy": 6.00097541809082,
+      "epoch": 1.4043082021541011,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004956423324897831,
+      "loss": 6.0257,
+      "mean_token_accuracy": 0.13937310948967935,
+      "num_tokens": 3094212.0,
+      "step": 1695
+    },
+    {
+      "entropy": 6.043115425109863,
+      "epoch": 1.408450704225352,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004955795228541917,
+      "loss": 5.9589,
+      "mean_token_accuracy": 0.14452596232295037,
+      "num_tokens": 3102769.0,
+      "step": 1700
+    },
+    {
+      "entropy": 6.040110731124878,
+      "epoch": 1.4125932062966031,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000495516268285598,
+      "loss": 5.9805,
+      "mean_token_accuracy": 0.13440805301070213,
+      "num_tokens": 3111465.0,
+      "step": 1705
+    },
+    {
+      "entropy": 5.978239822387695,
+      "epoch": 1.4167357083678542,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004954525689115935,
+      "loss": 5.9177,
+      "mean_token_accuracy": 0.13326097056269645,
+      "num_tokens": 3121106.0,
+      "step": 1710
+    },
+    {
+      "entropy": 6.007881164550781,
+      "epoch": 1.4208782104391053,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004953884248606669,
+      "loss": 5.945,
+      "mean_token_accuracy": 0.14831372052431108,
+      "num_tokens": 3130662.0,
+      "step": 1715
+    },
+    {
+      "entropy": 5.97642674446106,
+      "epoch": 1.4250207125103562,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004953238362622034,
+      "loss": 5.9812,
+      "mean_token_accuracy": 0.13328263983130456,
+      "num_tokens": 3139538.0,
+      "step": 1720
+    },
+    {
+      "entropy": 6.0256367206573485,
+      "epoch": 1.4291632145816073,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004952588032464855,
+      "loss": 6.0298,
+      "mean_token_accuracy": 0.12707214802503586,
+      "num_tokens": 3148552.0,
+      "step": 1725
+    },
+    {
+      "entropy": 5.996851205825806,
+      "epoch": 1.4333057166528582,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004951933259446919,
+      "loss": 5.9365,
+      "mean_token_accuracy": 0.14197203740477563,
+      "num_tokens": 3156549.0,
+      "step": 1730
+    },
+    {
+      "entropy": 6.114988136291504,
+      "epoch": 1.4374482187241093,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004951274044888975,
+      "loss": 6.1006,
+      "mean_token_accuracy": 0.12147112190723419,
+      "num_tokens": 3166821.0,
+      "step": 1735
+    },
+    {
+      "entropy": 5.960144329071045,
+      "epoch": 1.4415907207953604,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004950610390120731,
+      "loss": 5.9848,
+      "mean_token_accuracy": 0.135729306191206,
+      "num_tokens": 3174962.0,
+      "step": 1740
+    },
+    {
+      "entropy": 6.087535095214844,
+      "epoch": 1.4457332228666115,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000494994229648085,
+      "loss": 5.8903,
+      "mean_token_accuracy": 0.13537728488445283,
+      "num_tokens": 3184027.0,
+      "step": 1745
+    },
+    {
+      "entropy": 5.957475805282593,
+      "epoch": 1.4498757249378624,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004949269765316948,
+      "loss": 6.0321,
+      "mean_token_accuracy": 0.13071285635232927,
+      "num_tokens": 3193186.0,
+      "step": 1750
+    },
+    {
+      "entropy": 6.171153354644775,
+      "epoch": 1.4540182270091135,
+      "grad_norm": 2.140625,
+      "learning_rate": 0.0004948592797985599,
+      "loss": 6.0525,
+      "mean_token_accuracy": 0.13555259853601456,
+      "num_tokens": 3202676.0,
+      "step": 1755
+    },
+    {
+      "entropy": 6.123908805847168,
+      "epoch": 1.4581607290803644,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947911395852317,
+      "loss": 6.1524,
+      "mean_token_accuracy": 0.1352410912513733,
+      "num_tokens": 3211950.0,
+      "step": 1760
+    },
+    {
+      "entropy": 6.120599699020386,
+      "epoch": 1.4623032311516155,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947225560291565,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12961760386824608,
+      "num_tokens": 3221135.0,
+      "step": 1765
+    },
+    {
+      "entropy": 5.962483358383179,
+      "epoch": 1.4664457332228666,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004946535292686746,
+      "loss": 5.8975,
+      "mean_token_accuracy": 0.13825839310884475,
+      "num_tokens": 3230174.0,
+      "step": 1770
+    },
+    {
+      "entropy": 5.979943370819091,
+      "epoch": 1.4705882352941178,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004945840594430209,
+      "loss": 5.8871,
+      "mean_token_accuracy": 0.1381668671965599,
+      "num_tokens": 3238898.0,
+      "step": 1775
+    },
+    {
+      "entropy": 5.973515844345092,
+      "epoch": 1.4747307373653686,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004945141466923235,
+      "loss": 5.9292,
+      "mean_token_accuracy": 0.14479121565818787,
+      "num_tokens": 3247550.0,
+      "step": 1780
+    },
+    {
+      "entropy": 6.113377714157105,
+      "epoch": 1.4788732394366197,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004944437911576041,
+      "loss": 6.0779,
+      "mean_token_accuracy": 0.12900342419743538,
+      "num_tokens": 3256810.0,
+      "step": 1785
+    },
+    {
+      "entropy": 5.9020613670349125,
+      "epoch": 1.4830157415078706,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004943729929807772,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.139550269395113,
+      "num_tokens": 3265886.0,
+      "step": 1790
+    },
+    {
+      "entropy": 6.06021089553833,
+      "epoch": 1.4871582435791217,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004943017523046507,
+      "loss": 5.9273,
+      "mean_token_accuracy": 0.137468421459198,
+      "num_tokens": 3274522.0,
+      "step": 1795
+    },
+    {
+      "entropy": 6.027210426330567,
+      "epoch": 1.4913007456503728,
+      "grad_norm": 1.25,
+      "learning_rate": 0.000494230069272925,
+      "loss": 6.0486,
+      "mean_token_accuracy": 0.13558472618460654,
+      "num_tokens": 3283388.0,
+      "step": 1800
+    },
+    {
+      "entropy": 5.989331531524658,
+      "epoch": 1.495443247721624,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004941579440301923,
+      "loss": 5.9224,
+      "mean_token_accuracy": 0.1305856943130493,
+      "num_tokens": 3291887.0,
+      "step": 1805
+    },
+    {
+      "entropy": 5.96136965751648,
+      "epoch": 1.4995857497928748,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940853767219372,
+      "loss": 5.9685,
+      "mean_token_accuracy": 0.13564062863588333,
+      "num_tokens": 3300674.0,
+      "step": 1810
+    },
+    {
+      "entropy": 5.9364429950714115,
+      "epoch": 1.503728251864126,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940123674945359,
+      "loss": 5.8311,
+      "mean_token_accuracy": 0.13808463513851166,
+      "num_tokens": 3309745.0,
+      "step": 1815
+    },
+    {
+      "entropy": 6.076629638671875,
+      "epoch": 1.5078707539353768,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004939389164952561,
+      "loss": 5.9722,
+      "mean_token_accuracy": 0.1378110609948635,
+      "num_tokens": 3318888.0,
+      "step": 1820
+    },
+    {
+      "entropy": 5.8970863819122314,
+      "epoch": 1.512013256006628,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004938650238722564,
+      "loss": 5.9296,
+      "mean_token_accuracy": 0.13823849260807036,
+      "num_tokens": 3328274.0,
+      "step": 1825
+    },
+    {
+      "entropy": 6.003948831558228,
+      "epoch": 1.516155758077879,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004937906897745861,
+      "loss": 5.9387,
+      "mean_token_accuracy": 0.1468382939696312,
+      "num_tokens": 3337579.0,
+      "step": 1830
+    },
+    {
+      "entropy": 6.045965003967285,
+      "epoch": 1.5202982601491302,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004937159143521856,
+      "loss": 5.9081,
+      "mean_token_accuracy": 0.14555162489414214,
+      "num_tokens": 3346262.0,
+      "step": 1835
+    },
+    {
+      "entropy": 5.972390079498291,
+      "epoch": 1.5244407622203813,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004936406977558847,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.13030771315097808,
+      "num_tokens": 3354833.0,
+      "step": 1840
+    },
+    {
+      "entropy": 6.051387977600098,
+      "epoch": 1.5285832642916322,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004935650401374039,
+      "loss": 6.0906,
+      "mean_token_accuracy": 0.14119647368788718,
+      "num_tokens": 3364314.0,
+      "step": 1845
+    },
+    {
+      "entropy": 6.046140813827515,
+      "epoch": 1.532725766362883,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004934889416493524,
+      "loss": 5.9157,
+      "mean_token_accuracy": 0.13524662256240844,
+      "num_tokens": 3373648.0,
+      "step": 1850
+    },
+    {
+      "entropy": 5.863892507553101,
+      "epoch": 1.5368682684341342,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004934124024452295,
+      "loss": 5.7869,
+      "mean_token_accuracy": 0.1471114367246628,
+      "num_tokens": 3382919.0,
+      "step": 1855
+    },
+    {
+      "entropy": 5.888700532913208,
+      "epoch": 1.5410107705053853,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004933354226794232,
+      "loss": 5.9383,
+      "mean_token_accuracy": 0.1432707317173481,
+      "num_tokens": 3391814.0,
+      "step": 1860
+    },
+    {
+      "entropy": 6.080925798416137,
+      "epoch": 1.5451532725766364,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004932580025072098,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.13580586463212968,
+      "num_tokens": 3400392.0,
+      "step": 1865
+    },
+    {
+      "entropy": 5.996384525299073,
+      "epoch": 1.5492957746478875,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004931801420847545,
+      "loss": 6.036,
+      "mean_token_accuracy": 0.13089759424328803,
+      "num_tokens": 3410430.0,
+      "step": 1870
+    },
+    {
+      "entropy": 5.932257795333863,
+      "epoch": 1.5534382767191384,
+      "grad_norm": 0.9609375,
+      "learning_rate": 0.0004931018415691102,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.13694921880960464,
+      "num_tokens": 3420654.0,
+      "step": 1875
+    },
+    {
+      "entropy": 5.951343011856079,
+      "epoch": 1.5575807787903893,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004930231011182176,
+      "loss": 5.9986,
+      "mean_token_accuracy": 0.13937177062034606,
+      "num_tokens": 3430514.0,
+      "step": 1880
+    },
+    {
+      "entropy": 6.071512508392334,
+      "epoch": 1.5617232808616404,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004929439208909048,
+      "loss": 5.9331,
+      "mean_token_accuracy": 0.1375361390411854,
+      "num_tokens": 3439551.0,
+      "step": 1885
+    },
+    {
+      "entropy": 5.902947330474854,
+      "epoch": 1.5658657829328915,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004928643010468869,
+      "loss": 5.8911,
+      "mean_token_accuracy": 0.13622887432575226,
+      "num_tokens": 3448160.0,
+      "step": 1890
+    },
+    {
+      "entropy": 5.993059539794922,
+      "epoch": 1.5700082850041426,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004927842417467659,
+      "loss": 5.9517,
+      "mean_token_accuracy": 0.14548188596963882,
+      "num_tokens": 3457296.0,
+      "step": 1895
+    },
+    {
+      "entropy": 6.027637386322022,
+      "epoch": 1.5741507870753937,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004927037431520302,
+      "loss": 5.9073,
+      "mean_token_accuracy": 0.14102519080042838,
+      "num_tokens": 3466108.0,
+      "step": 1900
+    },
+    {
+      "entropy": 5.975209665298462,
+      "epoch": 1.5782932891466446,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004926228054250541,
+      "loss": 5.9941,
+      "mean_token_accuracy": 0.14009249955415726,
+      "num_tokens": 3475336.0,
+      "step": 1905
+    },
+    {
+      "entropy": 6.073916673660278,
+      "epoch": 1.5824357912178955,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004925414287290979,
+      "loss": 5.9668,
+      "mean_token_accuracy": 0.13723743334412575,
+      "num_tokens": 3483963.0,
+      "step": 1910
+    },
+    {
+      "entropy": 5.848618030548096,
+      "epoch": 1.5865782932891466,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004924596132283075,
+      "loss": 5.8765,
+      "mean_token_accuracy": 0.14485997408628465,
+      "num_tokens": 3492947.0,
+      "step": 1915
+    },
+    {
+      "entropy": 5.966853284835816,
+      "epoch": 1.5907207953603977,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004923773590877135,
+      "loss": 5.9651,
+      "mean_token_accuracy": 0.13334692791104316,
+      "num_tokens": 3501877.0,
+      "step": 1920
+    },
+    {
+      "entropy": 6.042904996871949,
+      "epoch": 1.5948632974316488,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004922946664732314,
+      "loss": 6.0304,
+      "mean_token_accuracy": 0.13204361274838447,
+      "num_tokens": 3510610.0,
+      "step": 1925
+    },
+    {
+      "entropy": 6.0583656311035154,
+      "epoch": 1.5990057995029,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004922115355516615,
+      "loss": 5.9841,
+      "mean_token_accuracy": 0.13304307833313941,
+      "num_tokens": 3519829.0,
+      "step": 1930
+    },
+    {
+      "entropy": 6.015839862823486,
+      "epoch": 1.6031483015741508,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004921279664906877,
+      "loss": 5.9661,
+      "mean_token_accuracy": 0.13071200698614122,
+      "num_tokens": 3529408.0,
+      "step": 1935
+    },
+    {
+      "entropy": 5.924501991271972,
+      "epoch": 1.6072908036454017,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004920439594588781,
+      "loss": 5.8955,
+      "mean_token_accuracy": 0.14675913602113724,
+      "num_tokens": 3538068.0,
+      "step": 1940
+    },
+    {
+      "entropy": 6.051935148239136,
+      "epoch": 1.6114333057166528,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000491959514625684,
+      "loss": 6.0177,
+      "mean_token_accuracy": 0.13845598921179772,
+      "num_tokens": 3547302.0,
+      "step": 1945
+    },
+    {
+      "entropy": 5.956210565567017,
+      "epoch": 1.6155758077879039,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00049187463216144,
+      "loss": 5.9024,
+      "mean_token_accuracy": 0.145584287494421,
+      "num_tokens": 3556087.0,
+      "step": 1950
+    },
+    {
+      "entropy": 6.046857452392578,
+      "epoch": 1.619718309859155,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.000491789312237363,
+      "loss": 5.9857,
+      "mean_token_accuracy": 0.13579782098531723,
+      "num_tokens": 3566235.0,
+      "step": 1955
+    },
+    {
+      "entropy": 5.983897924423218,
+      "epoch": 1.623860811930406,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004917035550255528,
+      "loss": 5.899,
+      "mean_token_accuracy": 0.14092317298054696,
+      "num_tokens": 3574762.0,
+      "step": 1960
+    },
+    {
+      "entropy": 5.904513597488403,
+      "epoch": 1.628003314001657,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000491617360698991,
+      "loss": 5.8837,
+      "mean_token_accuracy": 0.139695380628109,
+      "num_tokens": 3583359.0,
+      "step": 1965
+    },
+    {
+      "entropy": 5.920687866210938,
+      "epoch": 1.6321458160729079,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004915307294315412,
+      "loss": 5.8505,
+      "mean_token_accuracy": 0.14011457338929176,
+      "num_tokens": 3591436.0,
+      "step": 1970
+    },
+    {
+      "entropy": 5.926318550109864,
+      "epoch": 1.636288318144159,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.000491443661397948,
+      "loss": 5.9355,
+      "mean_token_accuracy": 0.13468224480748175,
+      "num_tokens": 3601054.0,
+      "step": 1975
+    },
+    {
+      "entropy": 5.974443817138672,
+      "epoch": 1.64043082021541,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004913561567738368,
+      "loss": 5.9014,
+      "mean_token_accuracy": 0.1383673779666424,
+      "num_tokens": 3610641.0,
+      "step": 1980
+    },
+    {
+      "entropy": 5.912512636184692,
+      "epoch": 1.6445733222866612,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004912682157357146,
+      "loss": 5.8447,
+      "mean_token_accuracy": 0.13975749984383584,
+      "num_tokens": 3619351.0,
+      "step": 1985
+    },
+    {
+      "entropy": 5.853101539611816,
+      "epoch": 1.6487158243579123,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004911798384609675,
+      "loss": 5.8306,
+      "mean_token_accuracy": 0.1472959376871586,
+      "num_tokens": 3627341.0,
+      "step": 1990
+    },
+    {
+      "entropy": 5.942045879364014,
+      "epoch": 1.6528583264291632,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004910910251278626,
+      "loss": 5.8918,
+      "mean_token_accuracy": 0.14801610112190247,
+      "num_tokens": 3637132.0,
+      "step": 1995
+    },
+    {
+      "entropy": 5.919465351104736,
+      "epoch": 1.6570008285004143,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004910017759155458,
+      "loss": 5.9479,
+      "mean_token_accuracy": 0.1400071859359741,
+      "num_tokens": 3646196.0,
+      "step": 2000
+    },
+    {
+      "epoch": 1.6570008285004143,
+      "eval_entropy": 5.874394122979789,
+      "eval_loss": 6.1148576736450195,
+      "eval_mean_token_accuracy": 0.1363023624046525,
+      "eval_num_tokens": 3646196.0,
+      "eval_runtime": 2.7574,
+      "eval_samples_per_second": 1358.871,
+      "eval_steps_per_second": 170.085,
+      "step": 2000
+    },
+    {
+      "entropy": 5.967284250259399,
+      "epoch": 1.6611433305716652,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004909120910040427,
+      "loss": 5.8839,
+      "mean_token_accuracy": 0.1461731344461441,
+      "num_tokens": 3654658.0,
+      "step": 2005
+    },
+    {
+      "entropy": 6.045904684066772,
+      "epoch": 1.6652858326429163,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004908219705742574,
+      "loss": 6.1605,
+      "mean_token_accuracy": 0.13489469960331918,
+      "num_tokens": 3664509.0,
+      "step": 2010
+    },
+    {
+      "entropy": 6.002130031585693,
+      "epoch": 1.6694283347141674,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004907314148079727,
+      "loss": 5.8567,
+      "mean_token_accuracy": 0.1425239197909832,
+      "num_tokens": 3672983.0,
+      "step": 2015
+    },
+    {
+      "entropy": 5.708412790298462,
+      "epoch": 1.6735708367854185,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004906404238878496,
+      "loss": 5.7221,
+      "mean_token_accuracy": 0.14639501571655272,
+      "num_tokens": 3681196.0,
+      "step": 2020
+    },
+    {
+      "entropy": 5.97982873916626,
+      "epoch": 1.6777133388566694,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004905489979974265,
+      "loss": 5.9098,
+      "mean_token_accuracy": 0.14081615954637527,
+      "num_tokens": 3690077.0,
+      "step": 2025
+    },
+    {
+      "entropy": 5.942774772644043,
+      "epoch": 1.6818558409279205,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004904571373211197,
+      "loss": 5.9906,
+      "mean_token_accuracy": 0.13563016131520272,
+      "num_tokens": 3700121.0,
+      "step": 2030
+    },
+    {
+      "entropy": 5.897730588912964,
+      "epoch": 1.6859983429991714,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000490364842044222,
+      "loss": 5.8074,
+      "mean_token_accuracy": 0.14530285224318504,
+      "num_tokens": 3709618.0,
+      "step": 2035
+    },
+    {
+      "entropy": 5.954602289199829,
+      "epoch": 1.6901408450704225,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004902721123529031,
+      "loss": 5.9869,
+      "mean_token_accuracy": 0.12953415215015412,
+      "num_tokens": 3719570.0,
+      "step": 2040
+    },
+    {
+      "entropy": 6.074023342132568,
+      "epoch": 1.6942833471416736,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000490178948434209,
+      "loss": 5.9267,
+      "mean_token_accuracy": 0.14249598532915114,
+      "num_tokens": 3729354.0,
+      "step": 2045
+    },
+    {
+      "entropy": 5.833365964889526,
+      "epoch": 1.6984258492129247,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004900853504760614,
+      "loss": 5.8409,
+      "mean_token_accuracy": 0.14450331926345825,
+      "num_tokens": 3738453.0,
+      "step": 2050
+    },
+    {
+      "entropy": 5.888468265533447,
+      "epoch": 1.7025683512841756,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004899913186672577,
+      "loss": 5.8165,
+      "mean_token_accuracy": 0.14293194860219954,
+      "num_tokens": 3747815.0,
+      "step": 2055
+    },
+    {
+      "entropy": 5.914711236953735,
+      "epoch": 1.7067108533554267,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004898968531974702,
+      "loss": 5.9249,
+      "mean_token_accuracy": 0.14642315953969956,
+      "num_tokens": 3757298.0,
+      "step": 2060
+    },
+    {
+      "entropy": 5.978992033004761,
+      "epoch": 1.7108533554266776,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004898019542572462,
+      "loss": 5.9124,
+      "mean_token_accuracy": 0.14719650894403458,
+      "num_tokens": 3765939.0,
+      "step": 2065
+    },
+    {
+      "entropy": 6.005469894409179,
+      "epoch": 1.7149958574979287,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004897066220380073,
+      "loss": 5.933,
+      "mean_token_accuracy": 0.13779435828328132,
+      "num_tokens": 3775160.0,
+      "step": 2070
+    },
+    {
+      "entropy": 5.921374797821045,
+      "epoch": 1.7191383595691798,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004896108567320489,
+      "loss": 5.831,
+      "mean_token_accuracy": 0.14186858981847764,
+      "num_tokens": 3785181.0,
+      "step": 2075
+    },
+    {
+      "entropy": 5.972924375534058,
+      "epoch": 1.723280861640431,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048951465853254,
+      "loss": 5.9444,
+      "mean_token_accuracy": 0.14323145076632499,
+      "num_tokens": 3794531.0,
+      "step": 2080
+    },
+    {
+      "entropy": 5.953138160705566,
+      "epoch": 1.7274233637116818,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004894180276335231,
+      "loss": 5.934,
+      "mean_token_accuracy": 0.1396125227212906,
+      "num_tokens": 3804602.0,
+      "step": 2085
+    },
+    {
+      "entropy": 5.9721667766571045,
+      "epoch": 1.731565865782933,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004893209642299132,
+      "loss": 5.97,
+      "mean_token_accuracy": 0.1395590640604496,
+      "num_tokens": 3813394.0,
+      "step": 2090
+    },
+    {
+      "entropy": 5.97849326133728,
+      "epoch": 1.7357083678541838,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004892234685174976,
+      "loss": 5.962,
+      "mean_token_accuracy": 0.13808128908276557,
+      "num_tokens": 3821604.0,
+      "step": 2095
+    },
+    {
+      "entropy": 5.967495775222778,
+      "epoch": 1.739850869925435,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004891255406929359,
+      "loss": 5.9564,
+      "mean_token_accuracy": 0.13652343899011612,
+      "num_tokens": 3831977.0,
+      "step": 2100
+    },
+    {
+      "entropy": 5.98737063407898,
+      "epoch": 1.743993371996686,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004890271809537595,
+      "loss": 5.9017,
+      "mean_token_accuracy": 0.1393343411386013,
+      "num_tokens": 3840684.0,
+      "step": 2105
+    },
+    {
+      "entropy": 5.870862340927124,
+      "epoch": 1.7481358740679371,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004889283894983704,
+      "loss": 5.8147,
+      "mean_token_accuracy": 0.1389534741640091,
+      "num_tokens": 3851147.0,
+      "step": 2110
+    },
+    {
+      "entropy": 6.002704238891601,
+      "epoch": 1.752278376139188,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000488829166526042,
+      "loss": 5.9838,
+      "mean_token_accuracy": 0.13991605415940284,
+      "num_tokens": 3859881.0,
+      "step": 2115
+    },
+    {
+      "entropy": 5.948231506347656,
+      "epoch": 1.7564208782104391,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004887295122369176,
+      "loss": 6.0107,
+      "mean_token_accuracy": 0.13371825441718102,
+      "num_tokens": 3870151.0,
+      "step": 2120
+    },
+    {
+      "entropy": 5.99525203704834,
+      "epoch": 1.76056338028169,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.000488629426832011,
+      "loss": 5.9313,
+      "mean_token_accuracy": 0.13850879445672035,
+      "num_tokens": 3878398.0,
+      "step": 2125
+    },
+    {
+      "entropy": 5.924004030227661,
+      "epoch": 1.7647058823529411,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004885289105132054,
+      "loss": 5.8893,
+      "mean_token_accuracy": 0.14114601090550422,
+      "num_tokens": 3888007.0,
+      "step": 2130
+    },
+    {
+      "entropy": 5.930246257781983,
+      "epoch": 1.7688483844241922,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004884279634832532,
+      "loss": 5.8728,
+      "mean_token_accuracy": 0.14278061985969542,
+      "num_tokens": 3896945.0,
+      "step": 2135
+    },
+    {
+      "entropy": 5.940092372894287,
+      "epoch": 1.7729908864954433,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004883265859457754,
+      "loss": 5.8905,
+      "mean_token_accuracy": 0.1457919418811798,
+      "num_tokens": 3906049.0,
+      "step": 2140
+    },
+    {
+      "entropy": 5.866062164306641,
+      "epoch": 1.7771333885666944,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048822477810526186,
+      "loss": 5.8422,
+      "mean_token_accuracy": 0.1388966679573059,
+      "num_tokens": 3915050.0,
+      "step": 2145
+    },
+    {
+      "entropy": 5.966696119308471,
+      "epoch": 1.7812758906379453,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00048812254016706994,
+      "loss": 5.9205,
+      "mean_token_accuracy": 0.14728582575917243,
+      "num_tokens": 3924031.0,
+      "step": 2150
+    },
+    {
+      "entropy": 5.915832757949829,
+      "epoch": 1.7854183927091962,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004880198723374247,
+      "loss": 5.9776,
+      "mean_token_accuracy": 0.14149753525853156,
+      "num_tokens": 3933756.0,
+      "step": 2155
+    },
+    {
+      "entropy": 5.959774684906006,
+      "epoch": 1.7895608947804473,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048791677482341845,
+      "loss": 5.9592,
+      "mean_token_accuracy": 0.13750381171703338,
+      "num_tokens": 3943129.0,
+      "step": 2160
+    },
+    {
+      "entropy": 5.881538438796997,
+      "epoch": 1.7937033968516984,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048781324783301016,
+      "loss": 5.7912,
+      "mean_token_accuracy": 0.14508036673069,
+      "num_tokens": 3951494.0,
+      "step": 2165
+    },
+    {
+      "entropy": 5.946735525131226,
+      "epoch": 1.7978458989229495,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048770929157502505,
+      "loss": 5.9565,
+      "mean_token_accuracy": 0.143115097284317,
+      "num_tokens": 3960588.0,
+      "step": 2170
+    },
+    {
+      "entropy": 5.9805809497833256,
+      "epoch": 1.8019884009942007,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004876049062591543,
+      "loss": 5.9226,
+      "mean_token_accuracy": 0.13506680428981782,
+      "num_tokens": 3970135.0,
+      "step": 2175
+    },
+    {
+      "entropy": 5.950060653686523,
+      "epoch": 1.8061309030654515,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048750009209595443,
+      "loss": 5.9042,
+      "mean_token_accuracy": 0.13944360390305519,
+      "num_tokens": 3979569.0,
+      "step": 2180
+    },
+    {
+      "entropy": 5.88271656036377,
+      "epoch": 1.8102734051367024,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048739484929684714,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.144245932251215,
+      "num_tokens": 3987885.0,
+      "step": 2185
+    },
+    {
+      "entropy": 5.933677864074707,
+      "epoch": 1.8144159072079535,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048728917807411856,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.13125594183802605,
+      "num_tokens": 3997726.0,
+      "step": 2190
+    },
+    {
+      "entropy": 6.008653068542481,
+      "epoch": 1.8185584092792046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004871830786409191,
+      "loss": 5.8436,
+      "mean_token_accuracy": 0.14898036047816277,
+      "num_tokens": 4006437.0,
+      "step": 2195
+    },
+    {
+      "entropy": 5.856683444976807,
+      "epoch": 1.8227009113504558,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00048707655121126296,
+      "loss": 5.8124,
+      "mean_token_accuracy": 0.14927435666322708,
+      "num_tokens": 4015326.0,
+      "step": 2200
+    },
+    {
+      "entropy": 5.924995994567871,
+      "epoch": 1.8268434134217069,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048696959600002767,
+      "loss": 5.8722,
+      "mean_token_accuracy": 0.14032577201724053,
+      "num_tokens": 4024294.0,
+      "step": 2205
+    },
+    {
+      "entropy": 5.881852293014527,
+      "epoch": 1.8309859154929577,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048686221322295347,
+      "loss": 5.9028,
+      "mean_token_accuracy": 0.14340249821543694,
+      "num_tokens": 4033341.0,
+      "step": 2210
+    },
+    {
+      "entropy": 5.951443433761597,
+      "epoch": 1.8351284175642086,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048675440309664314,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.1474481076002121,
+      "num_tokens": 4042446.0,
+      "step": 2215
+    },
+    {
+      "entropy": 5.832607173919678,
+      "epoch": 1.8392709196354597,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00048664616583856166,
+      "loss": 5.8924,
+      "mean_token_accuracy": 0.13868724405765534,
+      "num_tokens": 4051849.0,
+      "step": 2220
+    },
+    {
+      "entropy": 6.026660823822022,
+      "epoch": 1.8434134217067109,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00048653750166703516,
+      "loss": 5.9855,
+      "mean_token_accuracy": 0.1381051518023014,
+      "num_tokens": 4061075.0,
+      "step": 2225
+    },
+    {
+      "entropy": 5.976817560195923,
+      "epoch": 1.847555923777962,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004864284108012513,
+      "loss": 5.9524,
+      "mean_token_accuracy": 0.13498588278889656,
+      "num_tokens": 4071022.0,
+      "step": 2230
+    },
+    {
+      "entropy": 5.884273719787598,
+      "epoch": 1.851698425849213,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004863188934612583,
+      "loss": 5.854,
+      "mean_token_accuracy": 0.1435965158045292,
+      "num_tokens": 4080728.0,
+      "step": 2235
+    },
+    {
+      "entropy": 5.8848789691925045,
+      "epoch": 1.855840927920464,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004862089498679645,
+      "loss": 5.8121,
+      "mean_token_accuracy": 0.15146355628967284,
+      "num_tokens": 4088712.0,
+      "step": 2240
+    },
+    {
+      "entropy": 5.904728364944458,
+      "epoch": 1.8599834299917148,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004860985802431383,
+      "loss": 5.8445,
+      "mean_token_accuracy": 0.14107747822999955,
+      "num_tokens": 4097488.0,
+      "step": 2245
+    },
+    {
+      "entropy": 5.815548610687256,
+      "epoch": 1.864125932062966,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004859877848094071,
+      "loss": 5.8328,
+      "mean_token_accuracy": 0.14647450745105745,
+      "num_tokens": 4106485.0,
+      "step": 2250
+    },
+    {
+      "entropy": 5.969652986526489,
+      "epoch": 1.868268434134217,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004858765637902575,
+      "loss": 5.8016,
+      "mean_token_accuracy": 0.14588006138801574,
+      "num_tokens": 4115806.0,
+      "step": 2255
+    },
+    {
+      "entropy": 5.982199335098267,
+      "epoch": 1.8724109362054682,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004857649174100344,
+      "loss": 5.9353,
+      "mean_token_accuracy": 0.14478921219706536,
+      "num_tokens": 4124636.0,
+      "step": 2260
+    },
+    {
+      "entropy": 5.869907474517822,
+      "epoch": 1.8765534382767193,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.0004856528458939409,
+      "loss": 5.8948,
+      "mean_token_accuracy": 0.13403457626700402,
+      "num_tokens": 4133876.0,
+      "step": 2265
+    },
+    {
+      "entropy": 5.836872100830078,
+      "epoch": 1.8806959403479702,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004855403494680373,
+      "loss": 5.8159,
+      "mean_token_accuracy": 0.14096100330352784,
+      "num_tokens": 4143555.0,
+      "step": 2270
+    },
+    {
+      "entropy": 5.871636962890625,
+      "epoch": 1.884838442419221,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00048542742835924133,
+      "loss": 5.7773,
+      "mean_token_accuracy": 0.14253296032547952,
+      "num_tokens": 4153007.0,
+      "step": 2275
+    },
+    {
+      "entropy": 5.766701364517212,
+      "epoch": 1.8889809444904722,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048531408279532705,
+      "loss": 5.8171,
+      "mean_token_accuracy": 0.14552054405212403,
+      "num_tokens": 4162107.0,
+      "step": 2280
+    },
+    {
+      "entropy": 5.884533357620239,
+      "epoch": 1.8931234465617233,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048520031300492507,
+      "loss": 5.8208,
+      "mean_token_accuracy": 0.14203491136431695,
+      "num_tokens": 4170920.0,
+      "step": 2285
+    },
+    {
+      "entropy": 5.9367118835449215,
+      "epoch": 1.8972659486329744,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048508611921752124,
+      "loss": 5.8366,
+      "mean_token_accuracy": 0.14547978863120078,
+      "num_tokens": 4180226.0,
+      "step": 2290
+    },
+    {
+      "entropy": 5.804201984405518,
+      "epoch": 1.9014084507042255,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00048497150166345703,
+      "loss": 5.7799,
+      "mean_token_accuracy": 0.14307984560728074,
+      "num_tokens": 4189283.0,
+      "step": 2295
+    },
+    {
+      "entropy": 5.833661937713623,
+      "epoch": 1.9055509527754764,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004848564605739287,
+      "loss": 5.8181,
+      "mean_token_accuracy": 0.14286661818623542,
+      "num_tokens": 4199017.0,
+      "step": 2300
+    },
+    {
+      "entropy": 5.985245418548584,
+      "epoch": 1.9096934548467275,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048474099618098644,
+      "loss": 5.9557,
+      "mean_token_accuracy": 0.13776218444108962,
+      "num_tokens": 4207756.0,
+      "step": 2305
+    },
+    {
+      "entropy": 5.926583385467529,
+      "epoch": 1.9138359569179784,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004846251087175348,
+      "loss": 5.8467,
+      "mean_token_accuracy": 0.14270823299884797,
+      "num_tokens": 4216721.0,
+      "step": 2310
+    },
+    {
+      "entropy": 5.816466999053955,
+      "epoch": 1.9179784589892295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004845087984173312,
+      "loss": 5.8214,
+      "mean_token_accuracy": 0.14952016696333886,
+      "num_tokens": 4225596.0,
+      "step": 2315
+    },
+    {
+      "entropy": 5.975145244598389,
+      "epoch": 1.9221209610604806,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048439206551498644,
+      "loss": 5.8881,
+      "mean_token_accuracy": 0.14604572355747222,
+      "num_tokens": 4234500.0,
+      "step": 2320
+    },
+    {
+      "entropy": 5.83410792350769,
+      "epoch": 1.9262634631317317,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004842749102459635,
+      "loss": 5.8331,
+      "mean_token_accuracy": 0.14477182626724244,
+      "num_tokens": 4243240.0,
+      "step": 2325
+    },
+    {
+      "entropy": 5.799895906448365,
+      "epoch": 1.9304059652029826,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048415733284657727,
+      "loss": 5.8249,
+      "mean_token_accuracy": 0.14724751114845275,
+      "num_tokens": 4251892.0,
+      "step": 2330
+    },
+    {
+      "entropy": 5.914888668060303,
+      "epoch": 1.9345484672742337,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004840393335539943,
+      "loss": 5.784,
+      "mean_token_accuracy": 0.14537777602672577,
+      "num_tokens": 4261447.0,
+      "step": 2335
+    },
+    {
+      "entropy": 5.93565788269043,
+      "epoch": 1.9386909693454846,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048392091260623195,
+      "loss": 5.9202,
+      "mean_token_accuracy": 0.1471864774823189,
+      "num_tokens": 4270120.0,
+      "step": 2340
+    },
+    {
+      "entropy": 5.905978488922119,
+      "epoch": 1.9428334714167357,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048380207024215836,
+      "loss": 5.7991,
+      "mean_token_accuracy": 0.1482786476612091,
+      "num_tokens": 4278300.0,
+      "step": 2345
+    },
+    {
+      "entropy": 5.905145263671875,
+      "epoch": 1.9469759734879868,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00048368280670149145,
+      "loss": 5.8487,
+      "mean_token_accuracy": 0.1461447760462761,
+      "num_tokens": 4286454.0,
+      "step": 2350
+    },
+    {
+      "entropy": 5.805000495910645,
+      "epoch": 1.951118475559238,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004835631222247989,
+      "loss": 5.7243,
+      "mean_token_accuracy": 0.15050614029169082,
+      "num_tokens": 4294752.0,
+      "step": 2355
+    },
+    {
+      "entropy": 5.907592630386352,
+      "epoch": 1.9552609776304888,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00048344301705349735,
+      "loss": 5.7974,
+      "mean_token_accuracy": 0.14830030649900436,
+      "num_tokens": 4303195.0,
+      "step": 2360
+    },
+    {
+      "entropy": 5.841587924957276,
+      "epoch": 1.95940347970174,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048332249142985195,
+      "loss": 5.9211,
+      "mean_token_accuracy": 0.1373597078025341,
+      "num_tokens": 4311961.0,
+      "step": 2365
+    },
+    {
+      "entropy": 5.900353670120239,
+      "epoch": 1.9635459817729908,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004832015455969763,
+      "loss": 5.7748,
+      "mean_token_accuracy": 0.13879901468753814,
+      "num_tokens": 4322267.0,
+      "step": 2370
+    },
+    {
+      "entropy": 5.774641275405884,
+      "epoch": 1.9676884838442419,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048308017979883114,
+      "loss": 5.8838,
+      "mean_token_accuracy": 0.1426581546664238,
+      "num_tokens": 4330584.0,
+      "step": 2375
+    },
+    {
+      "entropy": 5.840176010131836,
+      "epoch": 1.971830985915493,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048295839428022454,
+      "loss": 5.7215,
+      "mean_token_accuracy": 0.14949245899915695,
+      "num_tokens": 4339215.0,
+      "step": 2380
+    },
+    {
+      "entropy": 5.869688034057617,
+      "epoch": 1.975973487986744,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00048283618928681127,
+      "loss": 5.7418,
+      "mean_token_accuracy": 0.1501791574060917,
+      "num_tokens": 4347711.0,
+      "step": 2385
+    },
+    {
+      "entropy": 5.764533996582031,
+      "epoch": 1.980115990057995,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004827135650650923,
+      "loss": 5.7445,
+      "mean_token_accuracy": 0.14758301600813867,
+      "num_tokens": 4356982.0,
+      "step": 2390
+    },
+    {
+      "entropy": 5.770398235321045,
+      "epoch": 1.984258492129246,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004825905218624139,
+      "loss": 5.7696,
+      "mean_token_accuracy": 0.14773683473467827,
+      "num_tokens": 4365378.0,
+      "step": 2395
+    },
+    {
+      "entropy": 5.9908288478851315,
+      "epoch": 1.988400994200497,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048246705992696756,
+      "loss": 5.8174,
+      "mean_token_accuracy": 0.14142358154058457,
+      "num_tokens": 4374007.0,
+      "step": 2400
+    },
+    {
+      "entropy": 5.9741987705230715,
+      "epoch": 1.992543496271748,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048234317950778975,
+      "loss": 5.9346,
+      "mean_token_accuracy": 0.1409923940896988,
+      "num_tokens": 4383909.0,
+      "step": 2405
+    },
+    {
+      "entropy": 5.967488718032837,
+      "epoch": 1.9966859983429992,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004822188808547607,
+      "loss": 5.9967,
+      "mean_token_accuracy": 0.13560240790247918,
+      "num_tokens": 4393145.0,
+      "step": 2410
+    },
+    {
+      "entropy": 5.751282596588135,
+      "epoch": 2.0008285004142503,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004820941642186043,
+      "loss": 5.7146,
+      "mean_token_accuracy": 0.14043126851320267,
+      "num_tokens": 4402024.0,
+      "step": 2415
+    },
+    {
+      "entropy": 5.91456356048584,
+      "epoch": 2.0049710024855014,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004819690298508879,
+      "loss": 5.5395,
+      "mean_token_accuracy": 0.1603303700685501,
+      "num_tokens": 4411377.0,
+      "step": 2420
+    },
+    {
+      "entropy": 5.758482313156128,
+      "epoch": 2.009113504556752,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048184347800402083,
+      "loss": 5.4299,
+      "mean_token_accuracy": 0.16564757078886033,
+      "num_tokens": 4419781.0,
+      "step": 2425
+    },
+    {
+      "entropy": 5.727555131912231,
+      "epoch": 2.013256006628003,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004817175089312551,
+      "loss": 5.4154,
+      "mean_token_accuracy": 0.16400155574083328,
+      "num_tokens": 4428427.0,
+      "step": 2430
+    },
+    {
+      "entropy": 5.749885892868042,
+      "epoch": 2.0173985086992543,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048159112288668403,
+      "loss": 5.4586,
+      "mean_token_accuracy": 0.15933601409196854,
+      "num_tokens": 4438156.0,
+      "step": 2435
+    },
+    {
+      "entropy": 5.876013088226318,
+      "epoch": 2.0215410107705054,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00048146432012524215,
+      "loss": 5.4819,
+      "mean_token_accuracy": 0.16306492537260056,
+      "num_tokens": 4446342.0,
+      "step": 2440
+    },
+    {
+      "entropy": 5.738983201980591,
+      "epoch": 2.0256835128417565,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00048133710090270446,
+      "loss": 5.5229,
+      "mean_token_accuracy": 0.1542331963777542,
+      "num_tokens": 4455582.0,
+      "step": 2445
+    },
+    {
+      "entropy": 5.815389633178711,
+      "epoch": 2.0298260149130076,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048120946547568596,
+      "loss": 5.5375,
+      "mean_token_accuracy": 0.15604802072048188,
+      "num_tokens": 4464518.0,
+      "step": 2450
+    },
+    {
+      "entropy": 5.927202749252319,
+      "epoch": 2.0339685169842583,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00048108141410164133,
+      "loss": 5.6588,
+      "mean_token_accuracy": 0.14534952044486998,
+      "num_tokens": 4475031.0,
+      "step": 2455
+    },
+    {
+      "entropy": 5.8722837448120115,
+      "epoch": 2.0381110190555094,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004809529470388642,
+      "loss": 5.5396,
+      "mean_token_accuracy": 0.1577153742313385,
+      "num_tokens": 4484609.0,
+      "step": 2460
+    },
+    {
+      "entropy": 5.787671709060669,
+      "epoch": 2.0422535211267605,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004808240645464866,
+      "loss": 5.5698,
+      "mean_token_accuracy": 0.15477177649736404,
+      "num_tokens": 4494238.0,
+      "step": 2465
+    },
+    {
+      "entropy": 5.684235668182373,
+      "epoch": 2.0463960231980116,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004806947668844787,
+      "loss": 5.4573,
+      "mean_token_accuracy": 0.16172746568918228,
+      "num_tokens": 4503258.0,
+      "step": 2470
+    },
+    {
+      "entropy": 5.786364412307739,
+      "epoch": 2.0505385252692627,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048056505431364794,
+      "loss": 5.5091,
+      "mean_token_accuracy": 0.15975141078233718,
+      "num_tokens": 4512071.0,
+      "step": 2475
+    },
+    {
+      "entropy": 5.736668491363526,
+      "epoch": 2.054681027340514,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00048043492709563877,
+      "loss": 5.3461,
+      "mean_token_accuracy": 0.17059434503316878,
+      "num_tokens": 4520219.0,
+      "step": 2480
+    },
+    {
+      "entropy": 5.672813034057617,
+      "epoch": 2.0588235294117645,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048030438549293193,
+      "loss": 5.5568,
+      "mean_token_accuracy": 0.15284566581249237,
+      "num_tokens": 4529386.0,
+      "step": 2485
+    },
+    {
+      "entropy": 5.830966377258301,
+      "epoch": 2.0629660314830156,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00048017342976884424,
+      "loss": 5.5638,
+      "mean_token_accuracy": 0.15199215039610864,
+      "num_tokens": 4538860.0,
+      "step": 2490
+    },
+    {
+      "entropy": 5.761076402664185,
+      "epoch": 2.0671085335542667,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048004206018752773,
+      "loss": 5.5299,
+      "mean_token_accuracy": 0.15335657596588134,
+      "num_tokens": 4547842.0,
+      "step": 2495
+    },
+    {
+      "entropy": 5.733208799362183,
+      "epoch": 2.071251035625518,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047991027701396895,
+      "loss": 5.5026,
+      "mean_token_accuracy": 0.15411428660154342,
+      "num_tokens": 4556238.0,
+      "step": 2500
+    },
+    {
+      "epoch": 2.071251035625518,
+      "eval_entropy": 5.642364594473768,
+      "eval_loss": 6.032641410827637,
+      "eval_mean_token_accuracy": 0.1416530203399882,
+      "eval_num_tokens": 4556238.0,
+      "eval_runtime": 2.7817,
+      "eval_samples_per_second": 1347.034,
+      "eval_steps_per_second": 168.604,
+      "step": 2500
+    },
+    {
+      "entropy": 5.732073068618774,
+      "epoch": 2.075393537696769,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004797780805139892,
+      "loss": 5.5069,
+      "mean_token_accuracy": 0.1587075412273407,
+      "num_tokens": 4565684.0,
+      "step": 2505
+    },
+    {
+      "entropy": 5.722462224960327,
+      "epoch": 2.07953603976802,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004796454709542432,
+      "loss": 5.467,
+      "mean_token_accuracy": 0.1590041533112526,
+      "num_tokens": 4575001.0,
+      "step": 2510
+    },
+    {
+      "entropy": 5.797696113586426,
+      "epoch": 2.083678541839271,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004795124486022189,
+      "loss": 5.5732,
+      "mean_token_accuracy": 0.15362634360790253,
+      "num_tokens": 4584128.0,
+      "step": 2515
+    },
+    {
+      "entropy": 5.711380529403686,
+      "epoch": 2.087821043910522,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047937901372623694,
+      "loss": 5.4191,
+      "mean_token_accuracy": 0.16894411891698838,
+      "num_tokens": 4593011.0,
+      "step": 2520
+    },
+    {
+      "entropy": 5.688450145721435,
+      "epoch": 2.091963545981773,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00047924516659545005,
+      "loss": 5.4668,
+      "mean_token_accuracy": 0.16164053976535797,
+      "num_tokens": 4602676.0,
+      "step": 2525
+    },
+    {
+      "entropy": 5.79151463508606,
+      "epoch": 2.096106048053024,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004791109074798425,
+      "loss": 5.5522,
+      "mean_token_accuracy": 0.15433578938245773,
+      "num_tokens": 4611915.0,
+      "step": 2530
+    },
+    {
+      "entropy": 5.748647403717041,
+      "epoch": 2.100248550124275,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004789762366502296,
+      "loss": 5.5184,
+      "mean_token_accuracy": 0.15959300100803375,
+      "num_tokens": 4621396.0,
+      "step": 2535
+    },
+    {
+      "entropy": 5.7374598503112795,
+      "epoch": 2.1043910521955262,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004788411543782571,
+      "loss": 5.5201,
+      "mean_token_accuracy": 0.1591552659869194,
+      "num_tokens": 4630533.0,
+      "step": 2540
+    },
+    {
+      "entropy": 5.678498649597168,
+      "epoch": 2.108533554266777,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004787056609364008,
+      "loss": 5.4599,
+      "mean_token_accuracy": 0.1542729303240776,
+      "num_tokens": 4639023.0,
+      "step": 2545
+    },
+    {
+      "entropy": 5.711474943161011,
+      "epoch": 2.112676056338028,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004785697565979657,
+      "loss": 5.4732,
+      "mean_token_accuracy": 0.15900285094976424,
+      "num_tokens": 4647975.0,
+      "step": 2550
+    },
+    {
+      "entropy": 5.72883243560791,
+      "epoch": 2.116818558409279,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004784334416370857,
+      "loss": 5.498,
+      "mean_token_accuracy": 0.15594277828931807,
+      "num_tokens": 4657555.0,
+      "step": 2555
+    },
+    {
+      "entropy": 5.745093822479248,
+      "epoch": 2.1209610604805302,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004782967163287231,
+      "loss": 5.4193,
+      "mean_token_accuracy": 0.16100153774023057,
+      "num_tokens": 4667228.0,
+      "step": 2560
+    },
+    {
+      "entropy": 5.716836738586426,
+      "epoch": 2.1251035625517813,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047815958094866756,
+      "loss": 5.4957,
+      "mean_token_accuracy": 0.1513967014849186,
+      "num_tokens": 4676723.0,
+      "step": 2565
+    },
+    {
+      "entropy": 5.7276163578033445,
+      "epoch": 2.1292460646230325,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004780220357735363,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.15479894131422042,
+      "num_tokens": 4686241.0,
+      "step": 2570
+    },
+    {
+      "entropy": 5.764811038970947,
+      "epoch": 2.1333885666942836,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047788408108077294,
+      "loss": 5.5404,
+      "mean_token_accuracy": 0.1561874568462372,
+      "num_tokens": 4695195.0,
+      "step": 2575
+    },
+    {
+      "entropy": 5.739376497268677,
+      "epoch": 2.1375310687655342,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004777457171486471,
+      "loss": 5.5871,
+      "mean_token_accuracy": 0.15551834553480148,
+      "num_tokens": 4704716.0,
+      "step": 2580
+    },
+    {
+      "entropy": 5.769967555999756,
+      "epoch": 2.1416735708367853,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004776069442562541,
+      "loss": 5.5562,
+      "mean_token_accuracy": 0.15339450240135194,
+      "num_tokens": 4713720.0,
+      "step": 2585
+    },
+    {
+      "entropy": 5.733342504501342,
+      "epoch": 2.1458160729080364,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004774677626835138,
+      "loss": 5.5366,
+      "mean_token_accuracy": 0.15301723331212996,
+      "num_tokens": 4722428.0,
+      "step": 2590
+    },
+    {
+      "entropy": 5.787648677825928,
+      "epoch": 2.1499585749792876,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00047732817271117084,
+      "loss": 5.5365,
+      "mean_token_accuracy": 0.15334974452853203,
+      "num_tokens": 4732395.0,
+      "step": 2595
+    },
+    {
+      "entropy": 5.773520803451538,
+      "epoch": 2.1541010770505387,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004771881746207934,
+      "loss": 5.5206,
+      "mean_token_accuracy": 0.15674114525318145,
+      "num_tokens": 4741071.0,
+      "step": 2600
+    },
+    {
+      "entropy": 5.607013797760009,
+      "epoch": 2.1582435791217898,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047704776869477285,
+      "loss": 5.5153,
+      "mean_token_accuracy": 0.15076877027750016,
+      "num_tokens": 4749876.0,
+      "step": 2605
+    },
+    {
+      "entropy": 5.784313154220581,
+      "epoch": 2.1623860811930404,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00047690695521632344,
+      "loss": 5.4669,
+      "mean_token_accuracy": 0.16002854704856873,
+      "num_tokens": 4758721.0,
+      "step": 2610
+    },
+    {
+      "entropy": 5.6919313907623295,
+      "epoch": 2.1665285832642915,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047676573446948114,
+      "loss": 5.4832,
+      "mean_token_accuracy": 0.15925751626491547,
+      "num_tokens": 4767162.0,
+      "step": 2615
+    },
+    {
+      "entropy": 5.71550760269165,
+      "epoch": 2.1706710853355426,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047662410673910376,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.1629578560590744,
+      "num_tokens": 4776397.0,
+      "step": 2620
+    },
+    {
+      "entropy": 5.665811157226562,
+      "epoch": 2.1748135874067938,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047648207231087,
+      "loss": 5.4579,
+      "mean_token_accuracy": 0.15894875824451446,
+      "num_tokens": 4784822.0,
+      "step": 2625
+    },
+    {
+      "entropy": 5.71003270149231,
+      "epoch": 2.178956089478045,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004763396314712786,
+      "loss": 5.5297,
+      "mean_token_accuracy": 0.15831661075353623,
+      "num_tokens": 4794272.0,
+      "step": 2630
+    },
+    {
+      "entropy": 5.64026665687561,
+      "epoch": 2.183098591549296,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004761967845076484,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.15510014593601226,
+      "num_tokens": 4804314.0,
+      "step": 2635
+    },
+    {
+      "entropy": 5.6847330093383786,
+      "epoch": 2.1872410936205466,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004760535317081174,
+      "loss": 5.4694,
+      "mean_token_accuracy": 0.15845878273248673,
+      "num_tokens": 4812685.0,
+      "step": 2640
+    },
+    {
+      "entropy": 5.715235567092895,
+      "epoch": 2.1913835956917977,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047590987336164207,
+      "loss": 5.5532,
+      "mean_token_accuracy": 0.1562129870057106,
+      "num_tokens": 4821761.0,
+      "step": 2645
+    },
+    {
+      "entropy": 5.741413831710815,
+      "epoch": 2.195526097763049,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00047576580975799705,
+      "loss": 5.5307,
+      "mean_token_accuracy": 0.1623195379972458,
+      "num_tokens": 4830515.0,
+      "step": 2650
+    },
+    {
+      "entropy": 5.782008934020996,
+      "epoch": 2.1996685998343,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004756213411877743,
+      "loss": 5.5059,
+      "mean_token_accuracy": 0.14879967421293258,
+      "num_tokens": 4840741.0,
+      "step": 2655
+    },
+    {
+      "entropy": 5.612497425079345,
+      "epoch": 2.203811101905551,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047547646794238277,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.16198884546756745,
+      "num_tokens": 4849571.0,
+      "step": 2660
+    },
+    {
+      "entropy": 5.689143991470337,
+      "epoch": 2.207953603976802,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047533119031404757,
+      "loss": 5.4138,
+      "mean_token_accuracy": 0.1696420982480049,
+      "num_tokens": 4857194.0,
+      "step": 2665
+    },
+    {
+      "entropy": 5.632621717453003,
+      "epoch": 2.212096106048053,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00047518550859580966,
+      "loss": 5.5074,
+      "mean_token_accuracy": 0.1592964008450508,
+      "num_tokens": 4865894.0,
+      "step": 2670
+    },
+    {
+      "entropy": 5.74289755821228,
+      "epoch": 2.216238608119304,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004750394230815249,
+      "loss": 5.5268,
+      "mean_token_accuracy": 0.15829544067382811,
+      "num_tokens": 4875131.0,
+      "step": 2675
+    },
+    {
+      "entropy": 5.670539522171021,
+      "epoch": 2.220381110190555,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047489293406586375,
+      "loss": 5.3777,
+      "mean_token_accuracy": 0.1620385766029358,
+      "num_tokens": 4884098.0,
+      "step": 2680
+    },
+    {
+      "entropy": 5.657269620895386,
+      "epoch": 2.224523612261806,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004747460418443106,
+      "loss": 5.4373,
+      "mean_token_accuracy": 0.15941016003489494,
+      "num_tokens": 4892963.0,
+      "step": 2685
+    },
+    {
+      "entropy": 5.690485191345215,
+      "epoch": 2.2286661143330573,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047459874671316305,
+      "loss": 5.4903,
+      "mean_token_accuracy": 0.15749651044607163,
+      "num_tokens": 4902097.0,
+      "step": 2690
+    },
+    {
+      "entropy": 5.608357000350952,
+      "epoch": 2.2328086164043084,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00047445104896953153,
+      "loss": 5.4015,
+      "mean_token_accuracy": 0.16532779037952422,
+      "num_tokens": 4910469.0,
+      "step": 2695
+    },
+    {
+      "entropy": 5.82715744972229,
+      "epoch": 2.236951118475559,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047430294891133846,
+      "loss": 5.6892,
+      "mean_token_accuracy": 0.1501491665840149,
+      "num_tokens": 4921024.0,
+      "step": 2700
+    },
+    {
+      "entropy": 5.749764776229858,
+      "epoch": 2.24109362054681,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004741544468373179,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15474629402160645,
+      "num_tokens": 4930297.0,
+      "step": 2705
+    },
+    {
+      "entropy": 5.687776947021485,
+      "epoch": 2.2452361226180613,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00047400554304701474,
+      "loss": 5.4692,
+      "mean_token_accuracy": 0.16049361675977708,
+      "num_tokens": 4938971.0,
+      "step": 2710
+    },
+    {
+      "entropy": 5.571053695678711,
+      "epoch": 2.2493786246893124,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047385623784078427,
+      "loss": 5.4899,
+      "mean_token_accuracy": 0.15803302526474,
+      "num_tokens": 4948531.0,
+      "step": 2715
+    },
+    {
+      "entropy": 5.787879133224488,
+      "epoch": 2.2535211267605635,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004737065315197913,
+      "loss": 5.5664,
+      "mean_token_accuracy": 0.1587745025753975,
+      "num_tokens": 4957430.0,
+      "step": 2720
+    },
+    {
+      "entropy": 5.720958280563354,
+      "epoch": 2.2576636288318146,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047355642438600987,
+      "loss": 5.5478,
+      "mean_token_accuracy": 0.16044806241989135,
+      "num_tokens": 4966681.0,
+      "step": 2725
+    },
+    {
+      "entropy": 5.638753175735474,
+      "epoch": 2.2618061309030653,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004734059167422225,
+      "loss": 5.4123,
+      "mean_token_accuracy": 0.1639780133962631,
+      "num_tokens": 4975327.0,
+      "step": 2730
+    },
+    {
+      "entropy": 5.634887552261352,
+      "epoch": 2.2659486329743164,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047325500889201956,
+      "loss": 5.4725,
+      "mean_token_accuracy": 0.16207436099648476,
+      "num_tokens": 4983741.0,
+      "step": 2735
+    },
+    {
+      "entropy": 5.673438644409179,
+      "epoch": 2.2700911350455675,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004731037011397986,
+      "loss": 5.5662,
+      "mean_token_accuracy": 0.15884149968624114,
+      "num_tokens": 4993171.0,
+      "step": 2740
+    },
+    {
+      "entropy": 5.752307653427124,
+      "epoch": 2.2742336371168186,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047295199379076403,
+      "loss": 5.6,
+      "mean_token_accuracy": 0.15322241187095642,
+      "num_tokens": 5002810.0,
+      "step": 2745
+    },
+    {
+      "entropy": 5.7073346138000485,
+      "epoch": 2.2783761391880697,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000472799887150926,
+      "loss": 5.4893,
+      "mean_token_accuracy": 0.15741414427757264,
+      "num_tokens": 5011875.0,
+      "step": 2750
+    },
+    {
+      "entropy": 5.679959297180176,
+      "epoch": 2.282518641259321,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004726473815271003,
+      "loss": 5.5349,
+      "mean_token_accuracy": 0.15855301022529603,
+      "num_tokens": 5020780.0,
+      "step": 2755
+    },
+    {
+      "entropy": 5.669374132156372,
+      "epoch": 2.286661143330572,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047249447722690747,
+      "loss": 5.4331,
+      "mean_token_accuracy": 0.16046710908412934,
+      "num_tokens": 5029896.0,
+      "step": 2760
+    },
+    {
+      "entropy": 5.652454280853272,
+      "epoch": 2.2908036454018226,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047234117455877215,
+      "loss": 5.4932,
+      "mean_token_accuracy": 0.1545606277883053,
+      "num_tokens": 5038956.0,
+      "step": 2765
+    },
+    {
+      "entropy": 5.639697694778443,
+      "epoch": 2.2949461474730737,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004721874738319225,
+      "loss": 5.4594,
+      "mean_token_accuracy": 0.17258906960487366,
+      "num_tokens": 5047005.0,
+      "step": 2770
+    },
+    {
+      "entropy": 5.655842065811157,
+      "epoch": 2.299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004720333753563898,
+      "loss": 5.5008,
+      "mean_token_accuracy": 0.15116662830114364,
+      "num_tokens": 5056475.0,
+      "step": 2775
+    },
+    {
+      "entropy": 5.704644584655762,
+      "epoch": 2.303231151615576,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00047187887944300747,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16439782381057738,
+      "num_tokens": 5064978.0,
+      "step": 2780
+    },
+    {
+      "entropy": 5.726413679122925,
+      "epoch": 2.307373653686827,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004717239864034107,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.15506226867437362,
+      "num_tokens": 5074235.0,
+      "step": 2785
+    },
+    {
+      "entropy": 5.662968683242798,
+      "epoch": 2.3115161557580777,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047156869655003554,
+      "loss": 5.4481,
+      "mean_token_accuracy": 0.16141191571950914,
+      "num_tokens": 5082386.0,
+      "step": 2790
+    },
+    {
+      "entropy": 5.631324100494385,
+      "epoch": 2.315658657829329,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047141301019611875,
+      "loss": 5.4164,
+      "mean_token_accuracy": 0.16636510640382768,
+      "num_tokens": 5090634.0,
+      "step": 2795
+    },
+    {
+      "entropy": 5.818879795074463,
+      "epoch": 2.31980115990058,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004712569276556967,
+      "loss": 5.5906,
+      "mean_token_accuracy": 0.14937217235565187,
+      "num_tokens": 5099003.0,
+      "step": 2800
+    },
+    {
+      "entropy": 5.617757177352905,
+      "epoch": 2.323943661971831,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00047110044924360484,
+      "loss": 5.6681,
+      "mean_token_accuracy": 0.1565680392086506,
+      "num_tokens": 5108631.0,
+      "step": 2805
+    },
+    {
+      "entropy": 5.732515859603882,
+      "epoch": 2.328086164043082,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00047094357527547725,
+      "loss": 5.4545,
+      "mean_token_accuracy": 0.15828853249549865,
+      "num_tokens": 5117309.0,
+      "step": 2810
+    },
+    {
+      "entropy": 5.686485624313354,
+      "epoch": 2.332228666114333,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004707863060677459,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.1627561032772064,
+      "num_tokens": 5126305.0,
+      "step": 2815
+    },
+    {
+      "entropy": 5.821760654449463,
+      "epoch": 2.3363711681855843,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00047062864193764,
+      "loss": 5.6022,
+      "mean_token_accuracy": 0.15580221712589265,
+      "num_tokens": 5135338.0,
+      "step": 2820
+    },
+    {
+      "entropy": 5.676449155807495,
+      "epoch": 2.340513670256835,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047047058320318525,
+      "loss": 5.5298,
+      "mean_token_accuracy": 0.16162888556718827,
+      "num_tokens": 5144518.0,
+      "step": 2825
+    },
+    {
+      "entropy": 5.702890157699585,
+      "epoch": 2.344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004703121301832034,
+      "loss": 5.6262,
+      "mean_token_accuracy": 0.15101130157709122,
+      "num_tokens": 5154102.0,
+      "step": 2830
+    },
+    {
+      "entropy": 5.7891247272491455,
+      "epoch": 2.348798674399337,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047015328319731153,
+      "loss": 5.5642,
+      "mean_token_accuracy": 0.15612353384494781,
+      "num_tokens": 5163719.0,
+      "step": 2835
+    },
+    {
+      "entropy": 5.677855682373047,
+      "epoch": 2.3529411764705883,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004699940425659215,
+      "loss": 5.5247,
+      "mean_token_accuracy": 0.15519936084747316,
+      "num_tokens": 5173192.0,
+      "step": 2840
+    },
+    {
+      "entropy": 5.622324132919312,
+      "epoch": 2.3570836785418394,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00046983440861023877,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.1663823500275612,
+      "num_tokens": 5182438.0,
+      "step": 2845
+    },
+    {
+      "entropy": 5.699106454849243,
+      "epoch": 2.36122618061309,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046967438165226275,
+      "loss": 5.6015,
+      "mean_token_accuracy": 0.15352728664875032,
+      "num_tokens": 5191595.0,
+      "step": 2850
+    },
+    {
+      "entropy": 5.659265756607056,
+      "epoch": 2.365368682684341,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004695139620147851,
+      "loss": 5.4682,
+      "mean_token_accuracy": 0.1643056571483612,
+      "num_tokens": 5200174.0,
+      "step": 2855
+    },
+    {
+      "entropy": 5.713242053985596,
+      "epoch": 2.3695111847555923,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046935315002138994,
+      "loss": 5.5804,
+      "mean_token_accuracy": 0.15417435318231582,
+      "num_tokens": 5210454.0,
+      "step": 2860
+    },
+    {
+      "entropy": 5.727554702758789,
+      "epoch": 2.3736536868268434,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004691919459964525,
+      "loss": 5.5019,
+      "mean_token_accuracy": 0.16056040227413176,
+      "num_tokens": 5219243.0,
+      "step": 2865
+    },
+    {
+      "entropy": 5.5862212657928465,
+      "epoch": 2.3777961888980945,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046903035026513894,
+      "loss": 5.4319,
+      "mean_token_accuracy": 0.1613735228776932,
+      "num_tokens": 5228656.0,
+      "step": 2870
+    },
+    {
+      "entropy": 5.587289905548095,
+      "epoch": 2.3819386909693456,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004688683631534056,
+      "loss": 5.4859,
+      "mean_token_accuracy": 0.156366066634655,
+      "num_tokens": 5237807.0,
+      "step": 2875
+    },
+    {
+      "entropy": 5.775411653518677,
+      "epoch": 2.3860811930405967,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004687059849879981,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.1609719067811966,
+      "num_tokens": 5247432.0,
+      "step": 2880
+    },
+    {
+      "entropy": 5.597807741165161,
+      "epoch": 2.3902236951118474,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00046854321609645093,
+      "loss": 5.4145,
+      "mean_token_accuracy": 0.16111126840114592,
+      "num_tokens": 5256680.0,
+      "step": 2885
+    },
+    {
+      "entropy": 5.6380726337432865,
+      "epoch": 2.3943661971830985,
+      "grad_norm": 2.15625,
+      "learning_rate": 0.00046838005680708677,
+      "loss": 5.5296,
+      "mean_token_accuracy": 0.14821895360946655,
+      "num_tokens": 5266793.0,
+      "step": 2890
+    },
+    {
+      "entropy": 5.710390281677246,
+      "epoch": 2.3985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046821650744901573,
+      "loss": 5.4452,
+      "mean_token_accuracy": 0.15857197493314742,
+      "num_tokens": 5275028.0,
+      "step": 2895
+    },
+    {
+      "entropy": 5.598506593704224,
+      "epoch": 2.4026512013256007,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004680525683521347,
+      "loss": 5.5226,
+      "mean_token_accuracy": 0.1566852644085884,
+      "num_tokens": 5284162.0,
+      "step": 2900
+    },
+    {
+      "entropy": 5.757242631912232,
+      "epoch": 2.406793703396852,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004678882398471269,
+      "loss": 5.5911,
+      "mean_token_accuracy": 0.15474308133125306,
+      "num_tokens": 5293263.0,
+      "step": 2905
+    },
+    {
+      "entropy": 5.654598569869995,
+      "epoch": 2.4109362054681025,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046772352226546066,
+      "loss": 5.477,
+      "mean_token_accuracy": 0.1666618600487709,
+      "num_tokens": 5301373.0,
+      "step": 2910
+    },
+    {
+      "entropy": 5.643638467788696,
+      "epoch": 2.4150787075393536,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004675584159393895,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.15203802064061164,
+      "num_tokens": 5311009.0,
+      "step": 2915
+    },
+    {
+      "entropy": 5.699149656295776,
+      "epoch": 2.4192212096106047,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046739292120195083,
+      "loss": 5.5245,
+      "mean_token_accuracy": 0.16085631400346756,
+      "num_tokens": 5320341.0,
+      "step": 2920
+    },
+    {
+      "entropy": 5.642888498306275,
+      "epoch": 2.423363711681856,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004672270383869657,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1610630214214325,
+      "num_tokens": 5329250.0,
+      "step": 2925
+    },
+    {
+      "entropy": 5.62935357093811,
+      "epoch": 2.427506213753107,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004670607678290379,
+      "loss": 5.4471,
+      "mean_token_accuracy": 0.16571807861328125,
+      "num_tokens": 5336515.0,
+      "step": 2930
+    },
+    {
+      "entropy": 5.655415058135986,
+      "epoch": 2.431648715824358,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004668941098635532,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.1595415398478508,
+      "num_tokens": 5346043.0,
+      "step": 2935
+    },
+    {
+      "entropy": 5.642036104202271,
+      "epoch": 2.435791217895609,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00046672706482667897,
+      "loss": 5.4925,
+      "mean_token_accuracy": 0.15832271426916122,
+      "num_tokens": 5355124.0,
+      "step": 2940
+    },
+    {
+      "entropy": 5.647988367080688,
+      "epoch": 2.43993371996686,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004665596330553633,
+      "loss": 5.5051,
+      "mean_token_accuracy": 0.1597411409020424,
+      "num_tokens": 5364556.0,
+      "step": 2945
+    },
+    {
+      "entropy": 5.67459397315979,
+      "epoch": 2.444076222038111,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046639181488733445,
+      "loss": 5.5316,
+      "mean_token_accuracy": 0.15941161364316941,
+      "num_tokens": 5373778.0,
+      "step": 2950
+    },
+    {
+      "entropy": 5.725692987442017,
+      "epoch": 2.448218724109362,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004662236106610999,
+      "loss": 5.5123,
+      "mean_token_accuracy": 0.15816445648670197,
+      "num_tokens": 5382633.0,
+      "step": 2955
+    },
+    {
+      "entropy": 5.5606146335601805,
+      "epoch": 2.452361226180613,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00046605502071594604,
+      "loss": 5.4163,
+      "mean_token_accuracy": 0.16387673169374467,
+      "num_tokens": 5391442.0,
+      "step": 2960
+    },
+    {
+      "entropy": 5.569208765029908,
+      "epoch": 2.4565037282518642,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004658860453919371,
+      "loss": 5.4388,
+      "mean_token_accuracy": 0.1621423229575157,
+      "num_tokens": 5400504.0,
+      "step": 2965
+    },
+    {
+      "entropy": 5.587312078475952,
+      "epoch": 2.460646230323115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004657166850299149,
+      "loss": 5.4448,
+      "mean_token_accuracy": 0.16361159086227417,
+      "num_tokens": 5408939.0,
+      "step": 2970
+    },
+    {
+      "entropy": 5.629118537902832,
+      "epoch": 2.464788732394366,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004655469399714978,
+      "loss": 5.4722,
+      "mean_token_accuracy": 0.1575179159641266,
+      "num_tokens": 5418934.0,
+      "step": 2975
+    },
+    {
+      "entropy": 5.572103595733642,
+      "epoch": 2.468931234465617,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004653768105590799,
+      "loss": 5.4955,
+      "mean_token_accuracy": 0.16008511185646057,
+      "num_tokens": 5427894.0,
+      "step": 2980
+    },
+    {
+      "entropy": 5.683330011367798,
+      "epoch": 2.4730737365368682,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046520629713583115,
+      "loss": 5.5003,
+      "mean_token_accuracy": 0.1613202139735222,
+      "num_tokens": 5436830.0,
+      "step": 2985
+    },
+    {
+      "entropy": 5.597742080688477,
+      "epoch": 2.4772162386081193,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046503540004569555,
+      "loss": 5.4814,
+      "mean_token_accuracy": 0.16423845291137695,
+      "num_tokens": 5445504.0,
+      "step": 2990
+    },
+    {
+      "entropy": 5.679887342453003,
+      "epoch": 2.4813587406793705,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046486411963339125,
+      "loss": 5.5405,
+      "mean_token_accuracy": 0.15501321628689765,
+      "num_tokens": 5455378.0,
+      "step": 2995
+    },
+    {
+      "entropy": 5.712473011016845,
+      "epoch": 2.4855012427506216,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046469245624440955,
+      "loss": 5.6107,
+      "mean_token_accuracy": 0.1589423656463623,
+      "num_tokens": 5465334.0,
+      "step": 3000
+    },
+    {
+      "epoch": 2.4855012427506216,
+      "eval_entropy": 5.590163738234465,
+      "eval_loss": 5.965892314910889,
+      "eval_mean_token_accuracy": 0.14734836894947329,
+      "eval_num_tokens": 5465334.0,
+      "eval_runtime": 2.7526,
+      "eval_samples_per_second": 1361.234,
+      "eval_steps_per_second": 170.381,
+      "step": 3000
+    },
+    {
+      "entropy": 5.751126146316528,
+      "epoch": 2.4896437448218722,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046452041022501423,
+      "loss": 5.5858,
+      "mean_token_accuracy": 0.15555662512779236,
+      "num_tokens": 5475701.0,
+      "step": 3005
+    },
+    {
+      "entropy": 5.699931526184082,
+      "epoch": 2.4937862468931233,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004643479819222411,
+      "loss": 5.4828,
+      "mean_token_accuracy": 0.16229774355888366,
+      "num_tokens": 5485244.0,
+      "step": 3010
+    },
+    {
+      "entropy": 5.596950387954712,
+      "epoch": 2.4979287489643744,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046417517168389664,
+      "loss": 5.4434,
+      "mean_token_accuracy": 0.1682340309023857,
+      "num_tokens": 5493587.0,
+      "step": 3015
+    },
+    {
+      "entropy": 5.6203169345855715,
+      "epoch": 2.5020712510356256,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004640019798585581,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.15738681554794312,
+      "num_tokens": 5503117.0,
+      "step": 3020
+    },
+    {
+      "entropy": 5.762682390213013,
+      "epoch": 2.5062137531068767,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046382840679557233,
+      "loss": 5.5352,
+      "mean_token_accuracy": 0.16024575680494307,
+      "num_tokens": 5512742.0,
+      "step": 3025
+    },
+    {
+      "entropy": 5.647499704360962,
+      "epoch": 2.5103562551781273,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00046365445284505516,
+      "loss": 5.4968,
+      "mean_token_accuracy": 0.16166605204343795,
+      "num_tokens": 5521862.0,
+      "step": 3030
+    },
+    {
+      "entropy": 5.597900772094727,
+      "epoch": 2.5144987572493784,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.0004634801183578907,
+      "loss": 5.488,
+      "mean_token_accuracy": 0.1608501434326172,
+      "num_tokens": 5531244.0,
+      "step": 3035
+    },
+    {
+      "entropy": 5.655751419067383,
+      "epoch": 2.5186412593206295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046330540368573063,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15176820158958435,
+      "num_tokens": 5540786.0,
+      "step": 3040
+    },
+    {
+      "entropy": 5.7291028022766115,
+      "epoch": 2.5227837613918807,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046313030918099365,
+      "loss": 5.5224,
+      "mean_token_accuracy": 0.1602902241051197,
+      "num_tokens": 5549961.0,
+      "step": 3045
+    },
+    {
+      "entropy": 5.620108366012573,
+      "epoch": 2.5269262634631318,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00046295483519686437,
+      "loss": 5.4591,
+      "mean_token_accuracy": 0.16417455673217773,
+      "num_tokens": 5558941.0,
+      "step": 3050
+    },
+    {
+      "entropy": 5.644694232940674,
+      "epoch": 2.531068765534383,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046277898208729306,
+      "loss": 5.4673,
+      "mean_token_accuracy": 0.16716189235448836,
+      "num_tokens": 5567630.0,
+      "step": 3055
+    },
+    {
+      "entropy": 5.586954879760742,
+      "epoch": 2.535211267605634,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004626027502069947,
+      "loss": 5.4301,
+      "mean_token_accuracy": 0.16521373838186265,
+      "num_tokens": 5576430.0,
+      "step": 3060
+    },
+    {
+      "entropy": 5.650178289413452,
+      "epoch": 2.539353769676885,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046242613991144814,
+      "loss": 5.5444,
+      "mean_token_accuracy": 0.1609214127063751,
+      "num_tokens": 5584785.0,
+      "step": 3065
+    },
+    {
+      "entropy": 5.585511493682861,
+      "epoch": 2.5434962717481358,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046224915155689586,
+      "loss": 5.478,
+      "mean_token_accuracy": 0.16044741719961167,
+      "num_tokens": 5594583.0,
+      "step": 3070
+    },
+    {
+      "entropy": 5.638197040557861,
+      "epoch": 2.547638773819387,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046207178550034244,
+      "loss": 5.4306,
+      "mean_token_accuracy": 0.1608849883079529,
+      "num_tokens": 5603498.0,
+      "step": 3075
+    },
+    {
+      "entropy": 5.7161966323852536,
+      "epoch": 2.551781275890638,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004618940420995547,
+      "loss": 5.5685,
+      "mean_token_accuracy": 0.15440558269619942,
+      "num_tokens": 5613101.0,
+      "step": 3080
+    },
+    {
+      "entropy": 5.665849494934082,
+      "epoch": 2.555923777961889,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004617159217130606,
+      "loss": 5.5409,
+      "mean_token_accuracy": 0.1569191187620163,
+      "num_tokens": 5621821.0,
+      "step": 3085
+    },
+    {
+      "entropy": 5.711861181259155,
+      "epoch": 2.5600662800331397,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004615374247001483,
+      "loss": 5.5738,
+      "mean_token_accuracy": 0.15701586306095122,
+      "num_tokens": 5631006.0,
+      "step": 3090
+    },
+    {
+      "entropy": 5.674423551559448,
+      "epoch": 2.564208782104391,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004613585514208659,
+      "loss": 5.5295,
+      "mean_token_accuracy": 0.15232180580496787,
+      "num_tokens": 5640159.0,
+      "step": 3095
+    },
+    {
+      "entropy": 5.592060613632202,
+      "epoch": 2.568351284175642,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046117930223602016,
+      "loss": 5.4003,
+      "mean_token_accuracy": 0.1694741129875183,
+      "num_tokens": 5648369.0,
+      "step": 3100
+    },
+    {
+      "entropy": 5.5982965469360355,
+      "epoch": 2.572493786246893,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004609996775071765,
+      "loss": 5.459,
+      "mean_token_accuracy": 0.1591326355934143,
+      "num_tokens": 5657669.0,
+      "step": 3105
+    },
+    {
+      "entropy": 5.56780686378479,
+      "epoch": 2.576636288318144,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004608196775966575,
+      "loss": 5.5319,
+      "mean_token_accuracy": 0.1610974356532097,
+      "num_tokens": 5666601.0,
+      "step": 3110
+    },
+    {
+      "entropy": 5.639773225784301,
+      "epoch": 2.5807787903893953,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046063930286754267,
+      "loss": 5.4465,
+      "mean_token_accuracy": 0.16618527621030807,
+      "num_tokens": 5675243.0,
+      "step": 3115
+    },
+    {
+      "entropy": 5.56855001449585,
+      "epoch": 2.5849212924606464,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00046045855368366756,
+      "loss": 5.466,
+      "mean_token_accuracy": 0.1630399063229561,
+      "num_tokens": 5683646.0,
+      "step": 3120
+    },
+    {
+      "entropy": 5.682586193084717,
+      "epoch": 2.5890637945318975,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.000460277430409623,
+      "loss": 5.5129,
+      "mean_token_accuracy": 0.17162407487630843,
+      "num_tokens": 5693069.0,
+      "step": 3125
+    },
+    {
+      "entropy": 5.587219524383545,
+      "epoch": 2.593206296603148,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046009593341075444,
+      "loss": 5.3754,
+      "mean_token_accuracy": 0.16499391198158264,
+      "num_tokens": 5701527.0,
+      "step": 3130
+    },
+    {
+      "entropy": 5.561956834793091,
+      "epoch": 2.5973487986743993,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004599140630531612,
+      "loss": 5.5403,
+      "mean_token_accuracy": 0.15682477951049806,
+      "num_tokens": 5710379.0,
+      "step": 3135
+    },
+    {
+      "entropy": 5.69692587852478,
+      "epoch": 2.6014913007456504,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004597318197036956,
+      "loss": 5.4524,
+      "mean_token_accuracy": 0.1643553927540779,
+      "num_tokens": 5719217.0,
+      "step": 3140
+    },
+    {
+      "entropy": 5.629226970672607,
+      "epoch": 2.6056338028169015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004595492037299624,
+      "loss": 5.5535,
+      "mean_token_accuracy": 0.16214104294776915,
+      "num_tokens": 5728331.0,
+      "step": 3145
+    },
+    {
+      "entropy": 5.608061027526856,
+      "epoch": 2.6097763048881526,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045936621550031806,
+      "loss": 5.5107,
+      "mean_token_accuracy": 0.16073764860630035,
+      "num_tokens": 5737696.0,
+      "step": 3150
+    },
+    {
+      "entropy": 5.731885099411011,
+      "epoch": 2.6139188069594033,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045918285538386973,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.16164542436599733,
+      "num_tokens": 5746191.0,
+      "step": 3155
+    },
+    {
+      "entropy": 5.703127813339234,
+      "epoch": 2.6180613090306544,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00045899912375047485,
+      "loss": 5.5619,
+      "mean_token_accuracy": 0.1629435494542122,
+      "num_tokens": 5754824.0,
+      "step": 3160
+    },
+    {
+      "entropy": 5.638229656219482,
+      "epoch": 2.6222038111019055,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045881502097074023,
+      "loss": 5.537,
+      "mean_token_accuracy": 0.1518124133348465,
+      "num_tokens": 5764863.0,
+      "step": 3165
+    },
+    {
+      "entropy": 5.614318180084228,
+      "epoch": 2.6263463131731566,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004586305474160212,
+      "loss": 5.5459,
+      "mean_token_accuracy": 0.15642993301153182,
+      "num_tokens": 5774273.0,
+      "step": 3170
+    },
+    {
+      "entropy": 5.666326427459717,
+      "epoch": 2.6304888152444077,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045844570345842116,
+      "loss": 5.5044,
+      "mean_token_accuracy": 0.16042826995253562,
+      "num_tokens": 5784085.0,
+      "step": 3175
+    },
+    {
+      "entropy": 5.659371709823608,
+      "epoch": 2.634631317315659,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004582604894707906,
+      "loss": 5.5336,
+      "mean_token_accuracy": 0.16884370446205138,
+      "num_tokens": 5793921.0,
+      "step": 3180
+    },
+    {
+      "entropy": 5.664378356933594,
+      "epoch": 2.63877381938691,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00045807490582672634,
+      "loss": 5.4972,
+      "mean_token_accuracy": 0.15294444859027861,
+      "num_tokens": 5803902.0,
+      "step": 3185
+    },
+    {
+      "entropy": 5.542481708526611,
+      "epoch": 2.6429163214581606,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00045788895290057083,
+      "loss": 5.4129,
+      "mean_token_accuracy": 0.16788192689418793,
+      "num_tokens": 5812089.0,
+      "step": 3190
+    },
+    {
+      "entropy": 5.6802209377288815,
+      "epoch": 2.6470588235294117,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00045770263106741137,
+      "loss": 5.5784,
+      "mean_token_accuracy": 0.1578851893544197,
+      "num_tokens": 5821072.0,
+      "step": 3195
+    },
+    {
+      "entropy": 5.628516340255738,
+      "epoch": 2.651201325600663,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004575159407030797,
+      "loss": 5.4029,
+      "mean_token_accuracy": 0.16388181746006011,
+      "num_tokens": 5829725.0,
+      "step": 3200
+    },
+    {
+      "entropy": 5.500157403945923,
+      "epoch": 2.655343827671914,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004573288821841505,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16496249735355378,
+      "num_tokens": 5838153.0,
+      "step": 3205
+    },
+    {
+      "entropy": 5.616616106033325,
+      "epoch": 2.659486329743165,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004571414558879413,
+      "loss": 5.4409,
+      "mean_token_accuracy": 0.15448423773050307,
+      "num_tokens": 5847270.0,
+      "step": 3210
+    },
+    {
+      "entropy": 5.6490891456604,
+      "epoch": 2.6636288318144157,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004569536621925114,
+      "loss": 5.5472,
+      "mean_token_accuracy": 0.15474478006362916,
+      "num_tokens": 5855954.0,
+      "step": 3215
+    },
+    {
+      "entropy": 5.634416961669922,
+      "epoch": 2.667771333885667,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004567655014766612,
+      "loss": 5.4529,
+      "mean_token_accuracy": 0.16163208782672883,
+      "num_tokens": 5864435.0,
+      "step": 3220
+    },
+    {
+      "entropy": 5.624909925460815,
+      "epoch": 2.671913835956918,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004565769741199314,
+      "loss": 5.5135,
+      "mean_token_accuracy": 0.1572384186089039,
+      "num_tokens": 5873964.0,
+      "step": 3225
+    },
+    {
+      "entropy": 5.727962255477905,
+      "epoch": 2.676056338028169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045638808050260237,
+      "loss": 5.4648,
+      "mean_token_accuracy": 0.16628578454256057,
+      "num_tokens": 5882738.0,
+      "step": 3230
+    },
+    {
+      "entropy": 5.587652635574341,
+      "epoch": 2.68019884009942,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00045619882100569317,
+      "loss": 5.5925,
+      "mean_token_accuracy": 0.15854242593050002,
+      "num_tokens": 5891749.0,
+      "step": 3235
+    },
+    {
+      "entropy": 5.627515649795532,
+      "epoch": 2.684341342170671,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004560091960109608,
+      "loss": 5.5372,
+      "mean_token_accuracy": 0.15811603218317033,
+      "num_tokens": 5900551.0,
+      "step": 3240
+    },
+    {
+      "entropy": 5.661735343933105,
+      "epoch": 2.6884838442419223,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004558192059008996,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.1517203629016876,
+      "num_tokens": 5909254.0,
+      "step": 3245
+    },
+    {
+      "entropy": 5.599635648727417,
+      "epoch": 2.692626346313173,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004556288510587406,
+      "loss": 5.4987,
+      "mean_token_accuracy": 0.15817683488130568,
+      "num_tokens": 5918357.0,
+      "step": 3250
+    },
+    {
+      "entropy": 5.662895679473877,
+      "epoch": 2.696768848384424,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00045543813186845004,
+      "loss": 5.5021,
+      "mean_token_accuracy": 0.15579704195261002,
+      "num_tokens": 5927742.0,
+      "step": 3255
+    },
+    {
+      "entropy": 5.627440690994263,
+      "epoch": 2.700911350455675,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004552470487147294,
+      "loss": 5.5823,
+      "mean_token_accuracy": 0.1556493915617466,
+      "num_tokens": 5937025.0,
+      "step": 3260
+    },
+    {
+      "entropy": 5.70678014755249,
+      "epoch": 2.7050538525269263,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045505560198301443,
+      "loss": 5.5615,
+      "mean_token_accuracy": 0.15135139375925064,
+      "num_tokens": 5946176.0,
+      "step": 3265
+    },
+    {
+      "entropy": 5.659924745559692,
+      "epoch": 2.7091963545981774,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045486379205947396,
+      "loss": 5.5233,
+      "mean_token_accuracy": 0.1584411159157753,
+      "num_tokens": 5955550.0,
+      "step": 3270
+    },
+    {
+      "entropy": 5.594695281982422,
+      "epoch": 2.713338856669428,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004546716193310098,
+      "loss": 5.4541,
+      "mean_token_accuracy": 0.1651945412158966,
+      "num_tokens": 5964467.0,
+      "step": 3275
+    },
+    {
+      "entropy": 5.605531787872314,
+      "epoch": 2.717481358740679,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000454479084185255,
+      "loss": 5.4855,
+      "mean_token_accuracy": 0.1514287754893303,
+      "num_tokens": 5973906.0,
+      "step": 3280
+    },
+    {
+      "entropy": 5.696796035766601,
+      "epoch": 2.7216238608119303,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004542861870105743,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.15694239139556884,
+      "num_tokens": 5983701.0,
+      "step": 3285
+    },
+    {
+      "entropy": 5.623150444030761,
+      "epoch": 2.7257663628831814,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045409292819606224,
+      "loss": 5.4971,
+      "mean_token_accuracy": 0.16068210303783417,
+      "num_tokens": 5993367.0,
+      "step": 3290
+    },
+    {
+      "entropy": 5.646857404708863,
+      "epoch": 2.7299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045389930813154297,
+      "loss": 5.4519,
+      "mean_token_accuracy": 0.16334805637598038,
+      "num_tokens": 6003752.0,
+      "step": 3295
+    },
+    {
+      "entropy": 5.675233459472656,
+      "epoch": 2.7340513670256836,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004537053272075693,
+      "loss": 5.5263,
+      "mean_token_accuracy": 0.1621565416455269,
+      "num_tokens": 6012486.0,
+      "step": 3300
+    },
+    {
+      "entropy": 5.5136041164398195,
+      "epoch": 2.7381938690969347,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045351098581542204,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.163838130235672,
+      "num_tokens": 6020742.0,
+      "step": 3305
+    },
+    {
+      "entropy": 5.646917295455933,
+      "epoch": 2.742336371168186,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004533162843471089,
+      "loss": 5.5009,
+      "mean_token_accuracy": 0.15474170595407485,
+      "num_tokens": 6030248.0,
+      "step": 3310
+    },
+    {
+      "entropy": 5.632185411453247,
+      "epoch": 2.7464788732394365,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004531212231953641,
+      "loss": 5.5436,
+      "mean_token_accuracy": 0.15157791674137117,
+      "num_tokens": 6039293.0,
+      "step": 3315
+    },
+    {
+      "entropy": 5.587828540802002,
+      "epoch": 2.7506213753106876,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004529258027536473,
+      "loss": 5.4134,
+      "mean_token_accuracy": 0.16378402560949326,
+      "num_tokens": 6048081.0,
+      "step": 3320
+    },
+    {
+      "entropy": 5.673684549331665,
+      "epoch": 2.7547638773819387,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004527300234161428,
+      "loss": 5.5753,
+      "mean_token_accuracy": 0.15969255268573762,
+      "num_tokens": 6057549.0,
+      "step": 3325
+    },
+    {
+      "entropy": 5.646554040908813,
+      "epoch": 2.75890637945319,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004525338855777591,
+      "loss": 5.5589,
+      "mean_token_accuracy": 0.15469738617539405,
+      "num_tokens": 6067372.0,
+      "step": 3330
+    },
+    {
+      "entropy": 5.595069122314453,
+      "epoch": 2.7630488815244405,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045233738963412746,
+      "loss": 5.4181,
+      "mean_token_accuracy": 0.1717814713716507,
+      "num_tokens": 6075532.0,
+      "step": 3335
+    },
+    {
+      "entropy": 5.5924467086792,
+      "epoch": 2.7671913835956916,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045214053598160173,
+      "loss": 5.4439,
+      "mean_token_accuracy": 0.16404369622468948,
+      "num_tokens": 6084389.0,
+      "step": 3340
+    },
+    {
+      "entropy": 5.598109579086303,
+      "epoch": 2.7713338856669427,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045194332501725725,
+      "loss": 5.4706,
+      "mean_token_accuracy": 0.16428767740726472,
+      "num_tokens": 6093536.0,
+      "step": 3345
+    },
+    {
+      "entropy": 5.637304496765137,
+      "epoch": 2.775476387738194,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00045174575713889014,
+      "loss": 5.5167,
+      "mean_token_accuracy": 0.16573925465345382,
+      "num_tokens": 6102677.0,
+      "step": 3350
+    },
+    {
+      "entropy": 5.677533674240112,
+      "epoch": 2.779618889809445,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004515478327450164,
+      "loss": 5.5926,
+      "mean_token_accuracy": 0.156404609978199,
+      "num_tokens": 6112430.0,
+      "step": 3355
+    },
+    {
+      "entropy": 5.643227863311767,
+      "epoch": 2.783761391880696,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00045134955223487093,
+      "loss": 5.4889,
+      "mean_token_accuracy": 0.16630716919898986,
+      "num_tokens": 6121408.0,
+      "step": 3360
+    },
+    {
+      "entropy": 5.57972674369812,
+      "epoch": 2.787903893951947,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00045115091600840757,
+      "loss": 5.5188,
+      "mean_token_accuracy": 0.15800442099571227,
+      "num_tokens": 6131339.0,
+      "step": 3365
+    },
+    {
+      "entropy": 5.624274778366089,
+      "epoch": 2.7920463960231983,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00045095192446629697,
+      "loss": 5.4816,
+      "mean_token_accuracy": 0.16174803227186202,
+      "num_tokens": 6140590.0,
+      "step": 3370
+    },
+    {
+      "entropy": 5.704814815521241,
+      "epoch": 2.796188898094449,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000450752578009927,
+      "loss": 5.5621,
+      "mean_token_accuracy": 0.1653067871928215,
+      "num_tokens": 6149958.0,
+      "step": 3375
+    },
+    {
+      "entropy": 5.58657054901123,
+      "epoch": 2.8003314001657,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045055287704140115,
+      "loss": 5.4346,
+      "mean_token_accuracy": 0.15949429720640182,
+      "num_tokens": 6159411.0,
+      "step": 3380
+    },
+    {
+      "entropy": 5.595387983322143,
+      "epoch": 2.804473902236951,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004503528219635381,
+      "loss": 5.5138,
+      "mean_token_accuracy": 0.1545591250061989,
+      "num_tokens": 6169264.0,
+      "step": 3385
+    },
+    {
+      "entropy": 5.617677021026611,
+      "epoch": 2.8086164043082023,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004501524131798709,
+      "loss": 5.4826,
+      "mean_token_accuracy": 0.16332829892635345,
+      "num_tokens": 6178374.0,
+      "step": 3390
+    },
+    {
+      "entropy": 5.7183191776275635,
+      "epoch": 2.812758906379453,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000449951651094646,
+      "loss": 5.4697,
+      "mean_token_accuracy": 0.15537519603967667,
+      "num_tokens": 6186918.0,
+      "step": 3395
+    },
+    {
+      "entropy": 5.566522169113159,
+      "epoch": 2.816901408450704,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044975053611282217,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.1613329365849495,
+      "num_tokens": 6196400.0,
+      "step": 3400
+    },
+    {
+      "entropy": 5.514105558395386,
+      "epoch": 2.821043910521955,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004495490686400706,
+      "loss": 5.3941,
+      "mean_token_accuracy": 0.1649619847536087,
+      "num_tokens": 6204849.0,
+      "step": 3405
+    },
+    {
+      "entropy": 5.615210485458374,
+      "epoch": 2.8251864125932062,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00044934724908277313,
+      "loss": 5.4834,
+      "mean_token_accuracy": 0.16362717300653457,
+      "num_tokens": 6214121.0,
+      "step": 3410
+    },
+    {
+      "entropy": 5.654720067977905,
+      "epoch": 2.8293289146644574,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044914507784802184,
+      "loss": 5.4835,
+      "mean_token_accuracy": 0.16509974151849746,
+      "num_tokens": 6223163.0,
+      "step": 3415
+    },
+    {
+      "entropy": 5.641624307632446,
+      "epoch": 2.8334714167357085,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004489425553436182,
+      "loss": 5.5084,
+      "mean_token_accuracy": 0.15882937759160995,
+      "num_tokens": 6231581.0,
+      "step": 3420
+    },
+    {
+      "entropy": 5.659383153915405,
+      "epoch": 2.8376139188069596,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00044873968197807213,
+      "loss": 5.5838,
+      "mean_token_accuracy": 0.1599879801273346,
+      "num_tokens": 6240015.0,
+      "step": 3425
+    },
+    {
+      "entropy": 5.666435050964355,
+      "epoch": 2.8417564208782107,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044853645816060156,
+      "loss": 5.5979,
+      "mean_token_accuracy": 0.1532062940299511,
+      "num_tokens": 6249083.0,
+      "step": 3430
+    },
+    {
+      "entropy": 5.6627098560333256,
+      "epoch": 2.8458989229494613,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00044833288430113104,
+      "loss": 5.5496,
+      "mean_token_accuracy": 0.1654196172952652,
+      "num_tokens": 6258798.0,
+      "step": 3435
+    },
+    {
+      "entropy": 5.609176588058472,
+      "epoch": 2.8500414250207124,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00044812896081029136,
+      "loss": 5.4023,
+      "mean_token_accuracy": 0.16617698073387147,
+      "num_tokens": 6267819.0,
+      "step": 3440
+    },
+    {
+      "entropy": 5.626215600967408,
+      "epoch": 2.8541839270919636,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004479246880994183,
+      "loss": 5.4804,
+      "mean_token_accuracy": 0.15876610353589057,
+      "num_tokens": 6276915.0,
+      "step": 3445
+    },
+    {
+      "entropy": 5.627827167510986,
+      "epoch": 2.8583264291632147,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004477200665805525,
+      "loss": 5.5216,
+      "mean_token_accuracy": 0.15861138105392455,
+      "num_tokens": 6285880.0,
+      "step": 3450
+    },
+    {
+      "entropy": 5.6323963642120365,
+      "epoch": 2.8624689312344658,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00044751509666643777,
+      "loss": 5.6351,
+      "mean_token_accuracy": 0.14970673844218255,
+      "num_tokens": 6295408.0,
+      "step": 3455
+    },
+    {
+      "entropy": 5.6166990280151365,
+      "epoch": 2.8666114333057164,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044730977877052084,
+      "loss": 5.3753,
+      "mean_token_accuracy": 0.16562075018882752,
+      "num_tokens": 6304110.0,
+      "step": 3460
+    },
+    {
+      "entropy": 5.669659185409546,
+      "epoch": 2.8707539353769675,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00044710411330695045,
+      "loss": 5.5254,
+      "mean_token_accuracy": 0.15842530727386475,
+      "num_tokens": 6312577.0,
+      "step": 3465
+    },
+    {
+      "entropy": 5.738371801376343,
+      "epoch": 2.8748964374482187,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00044689810069057615,
+      "loss": 5.606,
+      "mean_token_accuracy": 0.15023296922445298,
+      "num_tokens": 6321766.0,
+      "step": 3470
+    },
+    {
+      "entropy": 5.642851161956787,
+      "epoch": 2.8790389395194698,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004466917413369479,
+      "loss": 5.5731,
+      "mean_token_accuracy": 0.151870658993721,
+      "num_tokens": 6330327.0,
+      "step": 3475
+    },
+    {
+      "entropy": 5.577242517471314,
+      "epoch": 2.883181441590721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004464850356623152,
+      "loss": 5.4926,
+      "mean_token_accuracy": 0.16011006087064744,
+      "num_tokens": 6339596.0,
+      "step": 3480
+    },
+    {
+      "entropy": 5.613158226013184,
+      "epoch": 2.887323943661972,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00044627798408362597,
+      "loss": 5.3986,
+      "mean_token_accuracy": 0.1670537531375885,
+      "num_tokens": 6348080.0,
+      "step": 3485
+    },
+    {
+      "entropy": 5.613135099411011,
+      "epoch": 2.891466445733223,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004460705870185258,
+      "loss": 5.5277,
+      "mean_token_accuracy": 0.15435466170310974,
+      "num_tokens": 6357725.0,
+      "step": 3490
+    },
+    {
+      "entropy": 5.627930736541748,
+      "epoch": 2.8956089478044738,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004458628448853572,
+      "loss": 5.4831,
+      "mean_token_accuracy": 0.16073092967271804,
+      "num_tokens": 6366821.0,
+      "step": 3495
+    },
+    {
+      "entropy": 5.729347085952758,
+      "epoch": 2.899751449875725,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004456547581031589,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.15560299083590506,
+      "num_tokens": 6375641.0,
+      "step": 3500
+    },
+    {
+      "epoch": 2.899751449875725,
+      "eval_entropy": 5.414937326394673,
+      "eval_loss": 5.899942874908447,
+      "eval_mean_token_accuracy": 0.15183768343569629,
+      "eval_num_tokens": 6375641.0,
+      "eval_runtime": 2.9583,
+      "eval_samples_per_second": 1266.605,
+      "eval_steps_per_second": 158.537,
+      "step": 3500
+    },
+    {
+      "entropy": 5.548971128463745,
+      "epoch": 2.903893951946976,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004454463270916646,
+      "loss": 5.404,
+      "mean_token_accuracy": 0.1680065542459488,
+      "num_tokens": 6384596.0,
+      "step": 3505
+    },
+    {
+      "entropy": 5.719941425323486,
+      "epoch": 2.908036454018227,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004452375522713023,
+      "loss": 5.7474,
+      "mean_token_accuracy": 0.14030246064066887,
+      "num_tokens": 6395048.0,
+      "step": 3510
+    },
+    {
+      "entropy": 5.643452119827271,
+      "epoch": 2.912178956089478,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004450284340631938,
+      "loss": 5.5762,
+      "mean_token_accuracy": 0.15520212948322296,
+      "num_tokens": 6404828.0,
+      "step": 3515
+    },
+    {
+      "entropy": 5.627139854431152,
+      "epoch": 2.916321458160729,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044481897288915334,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.16042221039533616,
+      "num_tokens": 6414670.0,
+      "step": 3520
+    },
+    {
+      "entropy": 5.474701166152954,
+      "epoch": 2.92046396023198,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044460916917168697,
+      "loss": 5.3896,
+      "mean_token_accuracy": 0.16453512459993364,
+      "num_tokens": 6423446.0,
+      "step": 3525
+    },
+    {
+      "entropy": 5.5396312236785885,
+      "epoch": 2.924606462303231,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004443990233339918,
+      "loss": 5.4655,
+      "mean_token_accuracy": 0.1552535504102707,
+      "num_tokens": 6433412.0,
+      "step": 3530
+    },
+    {
+      "entropy": 5.652051544189453,
+      "epoch": 2.928748964374482,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004441885357999548,
+      "loss": 5.444,
+      "mean_token_accuracy": 0.1643453508615494,
+      "num_tokens": 6443520.0,
+      "step": 3535
+    },
+    {
+      "entropy": 5.674185514450073,
+      "epoch": 2.9328914664457333,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004439777069941524,
+      "loss": 5.5527,
+      "mean_token_accuracy": 0.15431721061468123,
+      "num_tokens": 6452933.0,
+      "step": 3540
+    },
+    {
+      "entropy": 5.550513553619385,
+      "epoch": 2.9370339685169844,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044376653734184935,
+      "loss": 5.3908,
+      "mean_token_accuracy": 0.16788479536771775,
+      "num_tokens": 6462113.0,
+      "step": 3545
+    },
+    {
+      "entropy": 5.468146800994873,
+      "epoch": 2.9411764705882355,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004435550272689979,
+      "loss": 5.4246,
+      "mean_token_accuracy": 0.16583772748708725,
+      "num_tokens": 6471411.0,
+      "step": 3550
+    },
+    {
+      "entropy": 5.662385082244873,
+      "epoch": 2.945318972659486,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00044334317720223706,
+      "loss": 5.532,
+      "mean_token_accuracy": 0.1599032275378704,
+      "num_tokens": 6480682.0,
+      "step": 3555
+    },
+    {
+      "entropy": 5.678339672088623,
+      "epoch": 2.9494614747307373,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00044313098756889154,
+      "loss": 5.5754,
+      "mean_token_accuracy": 0.15587076246738435,
+      "num_tokens": 6490614.0,
+      "step": 3560
+    },
+    {
+      "entropy": 5.585533094406128,
+      "epoch": 2.9536039768019884,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004429184587969708,
+      "loss": 5.4273,
+      "mean_token_accuracy": 0.16405707746744155,
+      "num_tokens": 6499079.0,
+      "step": 3565
+    },
+    {
+      "entropy": 5.668995666503906,
+      "epoch": 2.9577464788732395,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004427055913151689,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.14727827310562133,
+      "num_tokens": 6508556.0,
+      "step": 3570
+    },
+    {
+      "entropy": 5.70610499382019,
+      "epoch": 2.9618889809444906,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004424923855528626,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.15901169627904893,
+      "num_tokens": 6517934.0,
+      "step": 3575
+    },
+    {
+      "entropy": 5.614701509475708,
+      "epoch": 2.9660314830157413,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004422788419401114,
+      "loss": 5.4321,
+      "mean_token_accuracy": 0.1702651560306549,
+      "num_tokens": 6526995.0,
+      "step": 3580
+    },
+    {
+      "entropy": 5.572284936904907,
+      "epoch": 2.9701739850869924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00044206496090765595,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1573972523212433,
+      "num_tokens": 6535264.0,
+      "step": 3585
+    },
+    {
+      "entropy": 5.610080623626709,
+      "epoch": 2.9743164871582435,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00044185074288691776,
+      "loss": 5.3994,
+      "mean_token_accuracy": 0.1746336281299591,
+      "num_tokens": 6544498.0,
+      "step": 3590
+    },
+    {
+      "entropy": 5.582769393920898,
+      "epoch": 2.9784589892294946,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044163618830999794,
+      "loss": 5.5098,
+      "mean_token_accuracy": 0.16030704230070114,
+      "num_tokens": 6554761.0,
+      "step": 3595
+    },
+    {
+      "entropy": 5.603819417953491,
+      "epoch": 2.9826014913007457,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044142129760967643,
+      "loss": 5.5614,
+      "mean_token_accuracy": 0.15714355707168579,
+      "num_tokens": 6564039.0,
+      "step": 3600
+    },
+    {
+      "entropy": 5.679829835891724,
+      "epoch": 2.986743993371997,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004412060712194115,
+      "loss": 5.5068,
+      "mean_token_accuracy": 0.15993095487356185,
+      "num_tokens": 6572559.0,
+      "step": 3605
+    },
+    {
+      "entropy": 5.589264869689941,
+      "epoch": 2.990886495443248,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004409905095733381,
+      "loss": 5.4931,
+      "mean_token_accuracy": 0.1612076446413994,
+      "num_tokens": 6581621.0,
+      "step": 3610
+    },
+    {
+      "entropy": 5.550649166107178,
+      "epoch": 2.995028997514499,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00044077461310626764,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.15403861105442046,
+      "num_tokens": 6590353.0,
+      "step": 3615
+    },
+    {
+      "entropy": 5.64892258644104,
+      "epoch": 2.9991714995857497,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000440558382253687,
+      "loss": 5.4575,
+      "mean_token_accuracy": 0.16497674435377122,
+      "num_tokens": 6598822.0,
+      "step": 3620
+    },
+    {
+      "entropy": 5.5967165470123295,
+      "epoch": 3.003314001657001,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004403418174517573,
+      "loss": 5.2529,
+      "mean_token_accuracy": 0.16683556884527206,
+      "num_tokens": 6606728.0,
+      "step": 3625
+    },
+    {
+      "entropy": 5.599476623535156,
+      "epoch": 3.007456503728252,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044012491913731353,
+      "loss": 5.1756,
+      "mean_token_accuracy": 0.1743481546640396,
+      "num_tokens": 6616226.0,
+      "step": 3630
+    },
+    {
+      "entropy": 5.5095573425292965,
+      "epoch": 3.011599005799503,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004399076877478632,
+      "loss": 5.0266,
+      "mean_token_accuracy": 0.1868550017476082,
+      "num_tokens": 6624801.0,
+      "step": 3635
+    },
+    {
+      "entropy": 5.60879430770874,
+      "epoch": 3.015741507870754,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004396901237215858,
+      "loss": 5.2209,
+      "mean_token_accuracy": 0.16688485741615294,
+      "num_tokens": 6633043.0,
+      "step": 3640
+    },
+    {
+      "entropy": 5.538025426864624,
+      "epoch": 3.019884009942005,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043947222749733173,
+      "loss": 5.1692,
+      "mean_token_accuracy": 0.17499702274799347,
+      "num_tokens": 6641197.0,
+      "step": 3645
+    },
+    {
+      "entropy": 5.586767101287842,
+      "epoch": 3.024026512013256,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043925399951462153,
+      "loss": 5.2064,
+      "mean_token_accuracy": 0.1801098555326462,
+      "num_tokens": 6650411.0,
+      "step": 3650
+    },
+    {
+      "entropy": 5.4191618919372555,
+      "epoch": 3.028169014084507,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004390354402136449,
+      "loss": 5.0903,
+      "mean_token_accuracy": 0.17804521024227143,
+      "num_tokens": 6659405.0,
+      "step": 3655
+    },
+    {
+      "entropy": 5.583788824081421,
+      "epoch": 3.032311516155758,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0004388165500352597,
+      "loss": 5.1642,
+      "mean_token_accuracy": 0.17557908743619918,
+      "num_tokens": 6667701.0,
+      "step": 3660
+    },
+    {
+      "entropy": 5.614604902267456,
+      "epoch": 3.036454018227009,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004385973294209915,
+      "loss": 5.1881,
+      "mean_token_accuracy": 0.17808027267456056,
+      "num_tokens": 6676801.0,
+      "step": 3665
+    },
+    {
+      "entropy": 5.457578706741333,
+      "epoch": 3.0405965202982603,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004383777788130321,
+      "loss": 5.083,
+      "mean_token_accuracy": 0.17836775481700898,
+      "num_tokens": 6686005.0,
+      "step": 3670
+    },
+    {
+      "entropy": 5.479088068008423,
+      "epoch": 3.044739022369511,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004381578986542393,
+      "loss": 5.0937,
+      "mean_token_accuracy": 0.17960153371095658,
+      "num_tokens": 6694884.0,
+      "step": 3675
+    },
+    {
+      "entropy": 5.501745700836182,
+      "epoch": 3.048881524440762,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004379376893881352,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.17827630788087845,
+      "num_tokens": 6703476.0,
+      "step": 3680
+    },
+    {
+      "entropy": 5.616245269775391,
+      "epoch": 3.053024026512013,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004377171514589059,
+      "loss": 5.2531,
+      "mean_token_accuracy": 0.1736731931567192,
+      "num_tokens": 6712576.0,
+      "step": 3685
+    },
+    {
+      "entropy": 5.398316955566406,
+      "epoch": 3.0571665285832643,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004374962853114007,
+      "loss": 5.0545,
+      "mean_token_accuracy": 0.18062082678079605,
+      "num_tokens": 6721532.0,
+      "step": 3690
+    },
+    {
+      "entropy": 5.480774354934693,
+      "epoch": 3.0613090306545154,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004372750913911306,
+      "loss": 5.1028,
+      "mean_token_accuracy": 0.18300070911645888,
+      "num_tokens": 6730055.0,
+      "step": 3695
+    },
+    {
+      "entropy": 5.446919918060303,
+      "epoch": 3.0654515327257665,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004370535701442679,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.17969694286584853,
+      "num_tokens": 6739310.0,
+      "step": 3700
+    },
+    {
+      "entropy": 5.54828953742981,
+      "epoch": 3.069594034797017,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043683172201764537,
+      "loss": 5.2581,
+      "mean_token_accuracy": 0.16716694980859756,
+      "num_tokens": 6748976.0,
+      "step": 3705
+    },
+    {
+      "entropy": 5.539231872558593,
+      "epoch": 3.0737365368682683,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004366095474587547,
+      "loss": 5.1044,
+      "mean_token_accuracy": 0.17598106861114501,
+      "num_tokens": 6758043.0,
+      "step": 3710
+    },
+    {
+      "entropy": 5.500854778289795,
+      "epoch": 3.0778790389395194,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00043638704691574646,
+      "loss": 5.163,
+      "mean_token_accuracy": 0.1786232903599739,
+      "num_tokens": 6767554.0,
+      "step": 3715
+    },
+    {
+      "entropy": 5.560473966598511,
+      "epoch": 3.0820215410107705,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004361642208374283,
+      "loss": 5.1882,
+      "mean_token_accuracy": 0.1666739672422409,
+      "num_tokens": 6776161.0,
+      "step": 3720
+    },
+    {
+      "entropy": 5.476630401611328,
+      "epoch": 3.0861640430820216,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043594106967326495,
+      "loss": 5.1169,
+      "mean_token_accuracy": 0.17555084377527236,
+      "num_tokens": 6785371.0,
+      "step": 3725
+    },
+    {
+      "entropy": 5.494755983352661,
+      "epoch": 3.0903065451532727,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00043571759387337665,
+      "loss": 5.1456,
+      "mean_token_accuracy": 0.1808715656399727,
+      "num_tokens": 6795242.0,
+      "step": 3730
+    },
+    {
+      "entropy": 5.591760492324829,
+      "epoch": 3.0944490472245234,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004354937938885385,
+      "loss": 5.2235,
+      "mean_token_accuracy": 0.17338325083255768,
+      "num_tokens": 6805423.0,
+      "step": 3735
+    },
+    {
+      "entropy": 5.464981889724731,
+      "epoch": 3.0985915492957745,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004352696701701796,
+      "loss": 5.1469,
+      "mean_token_accuracy": 0.17880967408418655,
+      "num_tokens": 6814377.0,
+      "step": 3740
+    },
+    {
+      "entropy": 5.448660278320313,
+      "epoch": 3.1027340513670256,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004350452231703819,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.18132367432117463,
+      "num_tokens": 6824025.0,
+      "step": 3745
+    },
+    {
+      "entropy": 5.550149536132812,
+      "epoch": 3.1068765534382767,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043482045334187954,
+      "loss": 5.1273,
+      "mean_token_accuracy": 0.18649032860994338,
+      "num_tokens": 6833071.0,
+      "step": 3750
+    },
+    {
+      "entropy": 5.442513799667358,
+      "epoch": 3.111019055509528,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043459536113805785,
+      "loss": 5.1076,
+      "mean_token_accuracy": 0.17443138360977173,
+      "num_tokens": 6841983.0,
+      "step": 3755
+    },
+    {
+      "entropy": 5.447629022598266,
+      "epoch": 3.115161557580779,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00043436994701295237,
+      "loss": 5.1043,
+      "mean_token_accuracy": 0.17914267033338546,
+      "num_tokens": 6851436.0,
+      "step": 3760
+    },
+    {
+      "entropy": 5.461205101013183,
+      "epoch": 3.1193040596520296,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00043414421142124804,
+      "loss": 5.1836,
+      "mean_token_accuracy": 0.1672696813941002,
+      "num_tokens": 6861810.0,
+      "step": 3765
+    },
+    {
+      "entropy": 5.478553342819214,
+      "epoch": 3.1234465617232807,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00043391815481827814,
+      "loss": 5.0639,
+      "mean_token_accuracy": 0.18850475996732713,
+      "num_tokens": 6870418.0,
+      "step": 3770
+    },
+    {
+      "entropy": 5.41155161857605,
+      "epoch": 3.127589063794532,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004336917776600237,
+      "loss": 5.0683,
+      "mean_token_accuracy": 0.18221812546253205,
+      "num_tokens": 6879419.0,
+      "step": 3775
+    },
+    {
+      "entropy": 5.435874891281128,
+      "epoch": 3.131731565865783,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004334650804031122,
+      "loss": 5.1852,
+      "mean_token_accuracy": 0.17172302156686783,
+      "num_tokens": 6888768.0,
+      "step": 3780
+    },
+    {
+      "entropy": 5.507850646972656,
+      "epoch": 3.135874067937034,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004332380635048165,
+      "loss": 5.1296,
+      "mean_token_accuracy": 0.17900288552045823,
+      "num_tokens": 6897133.0,
+      "step": 3785
+    },
+    {
+      "entropy": 5.485491752624512,
+      "epoch": 3.140016570008285,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00043301072742305474,
+      "loss": 5.1773,
+      "mean_token_accuracy": 0.17168077528476716,
+      "num_tokens": 6904976.0,
+      "step": 3790
+    },
+    {
+      "entropy": 5.537312364578247,
+      "epoch": 3.1441590720795363,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0004327830726163886,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.17883574068546296,
+      "num_tokens": 6915138.0,
+      "step": 3795
+    },
+    {
+      "entropy": 5.548703718185425,
+      "epoch": 3.148301574150787,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0004325550995440226,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.1752033144235611,
+      "num_tokens": 6923962.0,
+      "step": 3800
+    },
+    {
+      "entropy": 5.386642169952393,
+      "epoch": 3.152444076222038,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043232680866580356,
+      "loss": 5.1478,
+      "mean_token_accuracy": 0.17952724993228913,
+      "num_tokens": 6932102.0,
+      "step": 3805
+    },
+    {
+      "entropy": 5.464086627960205,
+      "epoch": 3.156586578293289,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00043209820044221893,
+      "loss": 5.153,
+      "mean_token_accuracy": 0.1785269558429718,
+      "num_tokens": 6940354.0,
+      "step": 3810
+    },
+    {
+      "entropy": 5.4963922023773195,
+      "epoch": 3.1607290803645403,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00043186927533439654,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.1716633692383766,
+      "num_tokens": 6949779.0,
+      "step": 3815
+    },
+    {
+      "entropy": 5.536400413513183,
+      "epoch": 3.1648715824357914,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043164003380410335,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.17445194274187087,
+      "num_tokens": 6958760.0,
+      "step": 3820
+    },
+    {
+      "entropy": 5.486375331878662,
+      "epoch": 3.169014084507042,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004314104763137445,
+      "loss": 5.1037,
+      "mean_token_accuracy": 0.18134674280881882,
+      "num_tokens": 6967535.0,
+      "step": 3825
+    },
+    {
+      "entropy": 5.469356393814087,
+      "epoch": 3.173156586578293,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043118060332636264,
+      "loss": 5.2036,
+      "mean_token_accuracy": 0.17774708271026612,
+      "num_tokens": 6976211.0,
+      "step": 3830
+    },
+    {
+      "entropy": 5.576221227645874,
+      "epoch": 3.1772990886495442,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043095041530563665,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.17325948774814606,
+      "num_tokens": 6986001.0,
+      "step": 3835
+    },
+    {
+      "entropy": 5.420689487457276,
+      "epoch": 3.1814415907207954,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00043071991271588104,
+      "loss": 5.2006,
+      "mean_token_accuracy": 0.18302187621593474,
+      "num_tokens": 6994568.0,
+      "step": 3840
+    },
+    {
+      "entropy": 5.52434401512146,
+      "epoch": 3.1855840927920465,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004304890960220446,
+      "loss": 5.2921,
+      "mean_token_accuracy": 0.16869494169950486,
+      "num_tokens": 7004744.0,
+      "step": 3845
+    },
+    {
+      "entropy": 5.520354557037353,
+      "epoch": 3.1897265948632976,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043025796568970975,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.1696591019630432,
+      "num_tokens": 7014315.0,
+      "step": 3850
+    },
+    {
+      "entropy": 5.523347425460815,
+      "epoch": 3.1938690969345487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043002652218509184,
+      "loss": 5.1172,
+      "mean_token_accuracy": 0.18450311720371246,
+      "num_tokens": 7022258.0,
+      "step": 3855
+    },
+    {
+      "entropy": 5.522213459014893,
+      "epoch": 3.1980115990057993,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004297947659750376,
+      "loss": 5.2587,
+      "mean_token_accuracy": 0.1674624815583229,
+      "num_tokens": 7031732.0,
+      "step": 3860
+    },
+    {
+      "entropy": 5.467557621002197,
+      "epoch": 3.2021541010770505,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004295626975270246,
+      "loss": 5.1818,
+      "mean_token_accuracy": 0.1766605108976364,
+      "num_tokens": 7040478.0,
+      "step": 3865
+    },
+    {
+      "entropy": 5.490935039520264,
+      "epoch": 3.2062966031483016,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00042933031730916024,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.18396904766559602,
+      "num_tokens": 7049360.0,
+      "step": 3870
+    },
+    {
+      "entropy": 5.5688018798828125,
+      "epoch": 3.2104391052195527,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000429097625790181,
+      "loss": 5.2267,
+      "mean_token_accuracy": 0.17498258501291275,
+      "num_tokens": 7059271.0,
+      "step": 3875
+    },
+    {
+      "entropy": 5.398471450805664,
+      "epoch": 3.2145816072908038,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004288646234394508,
+      "loss": 5.2177,
+      "mean_token_accuracy": 0.17296054661273957,
+      "num_tokens": 7069038.0,
+      "step": 3880
+    },
+    {
+      "entropy": 5.5407984256744385,
+      "epoch": 3.218724109362055,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00042863131072696115,
+      "loss": 5.1617,
+      "mean_token_accuracy": 0.17704827934503556,
+      "num_tokens": 7077971.0,
+      "step": 3885
+    },
+    {
+      "entropy": 5.4559561252594,
+      "epoch": 3.2228666114333056,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00042839768812332905,
+      "loss": 5.1612,
+      "mean_token_accuracy": 0.17406544089317322,
+      "num_tokens": 7086821.0,
+      "step": 3890
+    },
+    {
+      "entropy": 5.419722366333008,
+      "epoch": 3.2270091135045567,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000428163756099797,
+      "loss": 5.1859,
+      "mean_token_accuracy": 0.17225482910871506,
+      "num_tokens": 7095407.0,
+      "step": 3895
+    },
+    {
+      "entropy": 5.48249921798706,
+      "epoch": 3.2311516155758078,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004279295151282314,
+      "loss": 5.1116,
+      "mean_token_accuracy": 0.18240531533956528,
+      "num_tokens": 7103964.0,
+      "step": 3900
+    },
+    {
+      "entropy": 5.564240264892578,
+      "epoch": 3.235294117647059,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004276949656811217,
+      "loss": 5.251,
+      "mean_token_accuracy": 0.17079487890005113,
+      "num_tokens": 7113571.0,
+      "step": 3905
+    },
+    {
+      "entropy": 5.522033739089966,
+      "epoch": 3.23943661971831,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00042746010823158006,
+      "loss": 5.2738,
+      "mean_token_accuracy": 0.17067040055990218,
+      "num_tokens": 7122844.0,
+      "step": 3910
+    },
+    {
+      "entropy": 5.4324219703674315,
+      "epoch": 3.243579121789561,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042722494325333945,
+      "loss": 5.1326,
+      "mean_token_accuracy": 0.176889306306839,
+      "num_tokens": 7132123.0,
+      "step": 3915
+    },
+    {
+      "entropy": 5.458636379241943,
+      "epoch": 3.2477216238608118,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004269894712207533,
+      "loss": 5.1819,
+      "mean_token_accuracy": 0.18051923513412477,
+      "num_tokens": 7141068.0,
+      "step": 3920
+    },
+    {
+      "entropy": 5.43212571144104,
+      "epoch": 3.251864125932063,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004267536926087947,
+      "loss": 5.1925,
+      "mean_token_accuracy": 0.1708641156554222,
+      "num_tokens": 7150829.0,
+      "step": 3925
+    },
+    {
+      "entropy": 5.458031702041626,
+      "epoch": 3.256006628003314,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004265176078930545,
+      "loss": 5.1703,
+      "mean_token_accuracy": 0.17345706522464752,
+      "num_tokens": 7160814.0,
+      "step": 3930
+    },
+    {
+      "entropy": 5.498150825500488,
+      "epoch": 3.260149130074565,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00042628121754974166,
+      "loss": 5.2634,
+      "mean_token_accuracy": 0.17203340232372283,
+      "num_tokens": 7170085.0,
+      "step": 3935
+    },
+    {
+      "entropy": 5.590339422225952,
+      "epoch": 3.264291632145816,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004260445220556811,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.1736685037612915,
+      "num_tokens": 7179366.0,
+      "step": 3940
+    },
+    {
+      "entropy": 5.52174072265625,
+      "epoch": 3.2684341342170673,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00042580752188831376,
+      "loss": 5.2819,
+      "mean_token_accuracy": 0.17067586481571198,
+      "num_tokens": 7188342.0,
+      "step": 3945
+    },
+    {
+      "entropy": 5.556540441513062,
+      "epoch": 3.272576636288318,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004255702175256946,
+      "loss": 5.3095,
+      "mean_token_accuracy": 0.17531315684318544,
+      "num_tokens": 7197466.0,
+      "step": 3950
+    },
+    {
+      "entropy": 5.42687840461731,
+      "epoch": 3.276719138359569,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00042533260944649273,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17852312475442886,
+      "num_tokens": 7205462.0,
+      "step": 3955
+    },
+    {
+      "entropy": 5.424286890029907,
+      "epoch": 3.28086164043082,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004250946981299893,
+      "loss": 5.1838,
+      "mean_token_accuracy": 0.17682615667581558,
+      "num_tokens": 7215115.0,
+      "step": 3960
+    },
+    {
+      "entropy": 5.459038209915161,
+      "epoch": 3.2850041425020713,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00042485648405607776,
+      "loss": 5.1379,
+      "mean_token_accuracy": 0.17029522657394408,
+      "num_tokens": 7224909.0,
+      "step": 3965
+    },
+    {
+      "entropy": 5.392039203643799,
+      "epoch": 3.2891466445733224,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004246179677052617,
+      "loss": 5.0642,
+      "mean_token_accuracy": 0.18698266595602037,
+      "num_tokens": 7232946.0,
+      "step": 3970
+    },
+    {
+      "entropy": 5.362467432022095,
+      "epoch": 3.2932891466445735,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004243791495586547,
+      "loss": 5.1736,
+      "mean_token_accuracy": 0.17996304631233215,
+      "num_tokens": 7241104.0,
+      "step": 3975
+    },
+    {
+      "entropy": 5.567073392868042,
+      "epoch": 3.297431648715824,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004241400300979791,
+      "loss": 5.2257,
+      "mean_token_accuracy": 0.1786801502108574,
+      "num_tokens": 7250749.0,
+      "step": 3980
+    },
+    {
+      "entropy": 5.447740983963013,
+      "epoch": 3.3015741507870753,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004239006098055651,
+      "loss": 5.124,
+      "mean_token_accuracy": 0.1787547677755356,
+      "num_tokens": 7258687.0,
+      "step": 3985
+    },
+    {
+      "entropy": 5.41381049156189,
+      "epoch": 3.3057166528583264,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004236608891643494,
+      "loss": 5.1572,
+      "mean_token_accuracy": 0.17702401280403138,
+      "num_tokens": 7267316.0,
+      "step": 3990
+    },
+    {
+      "entropy": 5.448715782165527,
+      "epoch": 3.3098591549295775,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004234208686578748,
+      "loss": 5.1777,
+      "mean_token_accuracy": 0.17505329996347427,
+      "num_tokens": 7276734.0,
+      "step": 3995
+    },
+    {
+      "entropy": 5.440592193603516,
+      "epoch": 3.3140016570008286,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00042318054877028876,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17840310037136078,
+      "num_tokens": 7285916.0,
+      "step": 4000
+    },
+    {
+      "epoch": 3.3140016570008286,
+      "eval_entropy": 5.363256025416002,
+      "eval_loss": 5.893955707550049,
+      "eval_mean_token_accuracy": 0.15349840453819935,
+      "eval_num_tokens": 7285916.0,
+      "eval_runtime": 2.7471,
+      "eval_samples_per_second": 1363.961,
+      "eval_steps_per_second": 170.723,
+      "step": 4000
+    },
+    {
+      "entropy": 5.487448406219483,
+      "epoch": 3.3181441590720797,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042293992998634314,
+      "loss": 5.1667,
+      "mean_token_accuracy": 0.17779863625764847,
+      "num_tokens": 7294184.0,
+      "step": 4005
+    },
+    {
+      "entropy": 5.414953899383545,
+      "epoch": 3.3222866611433304,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004226990127913918,
+      "loss": 5.177,
+      "mean_token_accuracy": 0.1768763244152069,
+      "num_tokens": 7302647.0,
+      "step": 4010
+    },
+    {
+      "entropy": 5.442982530593872,
+      "epoch": 3.3264291632145815,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004224577976713915,
+      "loss": 5.2506,
+      "mean_token_accuracy": 0.16832198798656464,
+      "num_tokens": 7311455.0,
+      "step": 4015
+    },
+    {
+      "entropy": 5.609448575973511,
+      "epoch": 3.3305716652858326,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00042221628511289927,
+      "loss": 5.3136,
+      "mean_token_accuracy": 0.16625809520483018,
+      "num_tokens": 7320978.0,
+      "step": 4020
+    },
+    {
+      "entropy": 5.612923622131348,
+      "epoch": 3.3347141673570837,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004219744756030723,
+      "loss": 5.3273,
+      "mean_token_accuracy": 0.16872513592243193,
+      "num_tokens": 7330202.0,
+      "step": 4025
+    },
+    {
+      "entropy": 5.4015247344970705,
+      "epoch": 3.338856669428335,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00042173236962966706,
+      "loss": 5.1649,
+      "mean_token_accuracy": 0.17969190180301667,
+      "num_tokens": 7339121.0,
+      "step": 4030
+    },
+    {
+      "entropy": 5.492907905578614,
+      "epoch": 3.342999171499586,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004214899676810375,
+      "loss": 5.2251,
+      "mean_token_accuracy": 0.1665240079164505,
+      "num_tokens": 7348631.0,
+      "step": 4035
+    },
+    {
+      "entropy": 5.469464063644409,
+      "epoch": 3.347141673570837,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004212472702461348,
+      "loss": 5.1843,
+      "mean_token_accuracy": 0.1820875510573387,
+      "num_tokens": 7358354.0,
+      "step": 4040
+    },
+    {
+      "entropy": 5.454071807861328,
+      "epoch": 3.3512841756420877,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004210042778145064,
+      "loss": 5.2038,
+      "mean_token_accuracy": 0.17285584658384323,
+      "num_tokens": 7367031.0,
+      "step": 4045
+    },
+    {
+      "entropy": 5.436822319030762,
+      "epoch": 3.355426677713339,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00042076099087629443,
+      "loss": 5.2025,
+      "mean_token_accuracy": 0.1784903883934021,
+      "num_tokens": 7375996.0,
+      "step": 4050
+    },
+    {
+      "entropy": 5.552537536621093,
+      "epoch": 3.35956917978459,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00042051740992223534,
+      "loss": 5.2567,
+      "mean_token_accuracy": 0.16439318358898164,
+      "num_tokens": 7385355.0,
+      "step": 4055
+    },
+    {
+      "entropy": 5.402252960205078,
+      "epoch": 3.363711681855841,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004202735354436586,
+      "loss": 5.0999,
+      "mean_token_accuracy": 0.1792566418647766,
+      "num_tokens": 7394384.0,
+      "step": 4060
+    },
+    {
+      "entropy": 5.511481237411499,
+      "epoch": 3.367854183927092,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00042002936793248546,
+      "loss": 5.2458,
+      "mean_token_accuracy": 0.1770971804857254,
+      "num_tokens": 7403141.0,
+      "step": 4065
+    },
+    {
+      "entropy": 5.508409786224365,
+      "epoch": 3.371996685998343,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004197849078812286,
+      "loss": 5.199,
+      "mean_token_accuracy": 0.1739865079522133,
+      "num_tokens": 7413331.0,
+      "step": 4070
+    },
+    {
+      "entropy": 5.471702003479004,
+      "epoch": 3.376139188069594,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004195401557829907,
+      "loss": 5.2368,
+      "mean_token_accuracy": 0.17052597552537918,
+      "num_tokens": 7422362.0,
+      "step": 4075
+    },
+    {
+      "entropy": 5.4563977241516115,
+      "epoch": 3.380281690140845,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041929511213146343,
+      "loss": 5.1661,
+      "mean_token_accuracy": 0.18033864200115204,
+      "num_tokens": 7431350.0,
+      "step": 4080
+    },
+    {
+      "entropy": 5.4815953254699705,
+      "epoch": 3.384424192212096,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004190497774209266,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.1800685152411461,
+      "num_tokens": 7440382.0,
+      "step": 4085
+    },
+    {
+      "entropy": 5.51438536643982,
+      "epoch": 3.3885666942833472,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00041880415214624715,
+      "loss": 5.2355,
+      "mean_token_accuracy": 0.17847414761781694,
+      "num_tokens": 7449357.0,
+      "step": 4090
+    },
+    {
+      "entropy": 5.463125705718994,
+      "epoch": 3.3927091963545983,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004185582368028781,
+      "loss": 5.1468,
+      "mean_token_accuracy": 0.1853232800960541,
+      "num_tokens": 7457544.0,
+      "step": 4095
+    },
+    {
+      "entropy": 5.409591102600098,
+      "epoch": 3.3968516984258494,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004183120318868577,
+      "loss": 5.1616,
+      "mean_token_accuracy": 0.18774343580007552,
+      "num_tokens": 7465915.0,
+      "step": 4100
+    },
+    {
+      "entropy": 5.435869741439819,
+      "epoch": 3.4009942004971,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00041806553789480787,
+      "loss": 5.1161,
+      "mean_token_accuracy": 0.1833360970020294,
+      "num_tokens": 7474551.0,
+      "step": 4105
+    },
+    {
+      "entropy": 5.507905626296997,
+      "epoch": 3.405136702568351,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00041781875532393423,
+      "loss": 5.2287,
+      "mean_token_accuracy": 0.17473389357328414,
+      "num_tokens": 7483271.0,
+      "step": 4110
+    },
+    {
+      "entropy": 5.474280261993409,
+      "epoch": 3.4092792046396023,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00041757168467202404,
+      "loss": 5.2371,
+      "mean_token_accuracy": 0.17051266878843307,
+      "num_tokens": 7493179.0,
+      "step": 4115
+    },
+    {
+      "entropy": 5.47375521659851,
+      "epoch": 3.4134217067108534,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00041732432643744576,
+      "loss": 5.2132,
+      "mean_token_accuracy": 0.17562344074249267,
+      "num_tokens": 7501858.0,
+      "step": 4120
+    },
+    {
+      "entropy": 5.562008953094482,
+      "epoch": 3.4175642087821045,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004170766811191481,
+      "loss": 5.282,
+      "mean_token_accuracy": 0.16895801872014998,
+      "num_tokens": 7511817.0,
+      "step": 4125
+    },
+    {
+      "entropy": 5.3949895858764645,
+      "epoch": 3.421706710853355,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.0004168287492166587,
+      "loss": 5.2513,
+      "mean_token_accuracy": 0.175115604698658,
+      "num_tokens": 7521655.0,
+      "step": 4130
+    },
+    {
+      "entropy": 5.478516006469727,
+      "epoch": 3.4258492129246063,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041658053123008325,
+      "loss": 5.2289,
+      "mean_token_accuracy": 0.17174260020256044,
+      "num_tokens": 7531321.0,
+      "step": 4135
+    },
+    {
+      "entropy": 5.469200515747071,
+      "epoch": 3.4299917149958574,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004163320276601046,
+      "loss": 5.2104,
+      "mean_token_accuracy": 0.17538849860429764,
+      "num_tokens": 7540613.0,
+      "step": 4140
+    },
+    {
+      "entropy": 5.478423690795898,
+      "epoch": 3.4341342170671085,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004160832390079816,
+      "loss": 5.2823,
+      "mean_token_accuracy": 0.17514234632253647,
+      "num_tokens": 7549598.0,
+      "step": 4145
+    },
+    {
+      "entropy": 5.449503993988037,
+      "epoch": 3.4382767191383596,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00041583416577554815,
+      "loss": 5.1509,
+      "mean_token_accuracy": 0.18169643133878707,
+      "num_tokens": 7558738.0,
+      "step": 4150
+    },
+    {
+      "entropy": 5.454873323440552,
+      "epoch": 3.4424192212096107,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041558480846521213,
+      "loss": 5.1996,
+      "mean_token_accuracy": 0.17627429366111755,
+      "num_tokens": 7566873.0,
+      "step": 4155
+    },
+    {
+      "entropy": 5.413073778152466,
+      "epoch": 3.446561723280862,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041533516757995455,
+      "loss": 5.18,
+      "mean_token_accuracy": 0.1794169783592224,
+      "num_tokens": 7576645.0,
+      "step": 4160
+    },
+    {
+      "entropy": 5.449489498138428,
+      "epoch": 3.4507042253521125,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004150852436233283,
+      "loss": 5.1844,
+      "mean_token_accuracy": 0.17338148206472398,
+      "num_tokens": 7584854.0,
+      "step": 4165
+    },
+    {
+      "entropy": 5.500524044036865,
+      "epoch": 3.4548467274233636,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004148350370994574,
+      "loss": 5.3142,
+      "mean_token_accuracy": 0.16781232208013536,
+      "num_tokens": 7594022.0,
+      "step": 4170
+    },
+    {
+      "entropy": 5.458495187759399,
+      "epoch": 3.4589892294946147,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004145845485130357,
+      "loss": 5.1757,
+      "mean_token_accuracy": 0.17461147904396057,
+      "num_tokens": 7603259.0,
+      "step": 4175
+    },
+    {
+      "entropy": 5.453242301940918,
+      "epoch": 3.463131731565866,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00041433377836932594,
+      "loss": 5.2853,
+      "mean_token_accuracy": 0.1680028423666954,
+      "num_tokens": 7613451.0,
+      "step": 4180
+    },
+    {
+      "entropy": 5.533868455886841,
+      "epoch": 3.467274233637117,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00041408272717415913,
+      "loss": 5.245,
+      "mean_token_accuracy": 0.17225596755743028,
+      "num_tokens": 7622218.0,
+      "step": 4185
+    },
+    {
+      "entropy": 5.351213121414185,
+      "epoch": 3.4714167357083676,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004138313954339327,
+      "loss": 5.104,
+      "mean_token_accuracy": 0.17463669180870056,
+      "num_tokens": 7630508.0,
+      "step": 4190
+    },
+    {
+      "entropy": 5.488496780395508,
+      "epoch": 3.4755592377796187,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004135797836556106,
+      "loss": 5.1982,
+      "mean_token_accuracy": 0.181541608273983,
+      "num_tokens": 7640141.0,
+      "step": 4195
+    },
+    {
+      "entropy": 5.459699392318726,
+      "epoch": 3.47970173985087,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041332789234672094,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1721531167626381,
+      "num_tokens": 7648764.0,
+      "step": 4200
+    },
+    {
+      "entropy": 5.406872129440307,
+      "epoch": 3.483844241922121,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004130757220153561,
+      "loss": 5.1952,
+      "mean_token_accuracy": 0.18173792064189911,
+      "num_tokens": 7658642.0,
+      "step": 4205
+    },
+    {
+      "entropy": 5.544135618209839,
+      "epoch": 3.487986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004128232731701712,
+      "loss": 5.377,
+      "mean_token_accuracy": 0.16519460082054138,
+      "num_tokens": 7667524.0,
+      "step": 4210
+    },
+    {
+      "entropy": 5.488169002532959,
+      "epoch": 3.492129246064623,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004125705463203833,
+      "loss": 5.1928,
+      "mean_token_accuracy": 0.18297115415334703,
+      "num_tokens": 7675800.0,
+      "step": 4215
+    },
+    {
+      "entropy": 5.490040969848633,
+      "epoch": 3.4962717481358743,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041231754197576986,
+      "loss": 5.2252,
+      "mean_token_accuracy": 0.1757526621222496,
+      "num_tokens": 7683742.0,
+      "step": 4220
+    },
+    {
+      "entropy": 5.468280076980591,
+      "epoch": 3.5004142502071254,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004120642606466685,
+      "loss": 5.2278,
+      "mean_token_accuracy": 0.1796238511800766,
+      "num_tokens": 7692379.0,
+      "step": 4225
+    },
+    {
+      "entropy": 5.494374942779541,
+      "epoch": 3.504556752278376,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004118107028439751,
+      "loss": 5.2138,
+      "mean_token_accuracy": 0.17588699012994766,
+      "num_tokens": 7702156.0,
+      "step": 4230
+    },
+    {
+      "entropy": 5.467664003372192,
+      "epoch": 3.508699254349627,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00041155686907914365,
+      "loss": 5.2275,
+      "mean_token_accuracy": 0.1754150867462158,
+      "num_tokens": 7712135.0,
+      "step": 4235
+    },
+    {
+      "entropy": 5.451332426071167,
+      "epoch": 3.5128417564208783,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004113027598641845,
+      "loss": 5.1785,
+      "mean_token_accuracy": 0.1752738744020462,
+      "num_tokens": 7721347.0,
+      "step": 4240
+    },
+    {
+      "entropy": 5.471200275421142,
+      "epoch": 3.5169842584921294,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004110483757116637,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.1789921909570694,
+      "num_tokens": 7731351.0,
+      "step": 4245
+    },
+    {
+      "entropy": 5.433224248886108,
+      "epoch": 3.52112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00041079371713470195,
+      "loss": 5.0996,
+      "mean_token_accuracy": 0.18778069019317628,
+      "num_tokens": 7740413.0,
+      "step": 4250
+    },
+    {
+      "entropy": 5.416608476638794,
+      "epoch": 3.525269262634631,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041053878464697343,
+      "loss": 5.1977,
+      "mean_token_accuracy": 0.18009850829839708,
+      "num_tokens": 7749319.0,
+      "step": 4255
+    },
+    {
+      "entropy": 5.519042015075684,
+      "epoch": 3.5294117647058822,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004102835787627047,
+      "loss": 5.2446,
+      "mean_token_accuracy": 0.17312991321086885,
+      "num_tokens": 7757936.0,
+      "step": 4260
+    },
+    {
+      "entropy": 5.542943048477173,
+      "epoch": 3.5335542667771334,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004100280999966741,
+      "loss": 5.3083,
+      "mean_token_accuracy": 0.17331433892250062,
+      "num_tokens": 7767349.0,
+      "step": 4265
+    },
+    {
+      "entropy": 5.4042651653289795,
+      "epoch": 3.5376967688483845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00040977234886421007,
+      "loss": 5.1133,
+      "mean_token_accuracy": 0.17731781899929047,
+      "num_tokens": 7776448.0,
+      "step": 4270
+    },
+    {
+      "entropy": 5.4222177028656,
+      "epoch": 3.5418392709196356,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040951632588119064,
+      "loss": 5.209,
+      "mean_token_accuracy": 0.17401482313871383,
+      "num_tokens": 7785768.0,
+      "step": 4275
+    },
+    {
+      "entropy": 5.600345802307129,
+      "epoch": 3.5459817729908867,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004092600315640422,
+      "loss": 5.2999,
+      "mean_token_accuracy": 0.1715576618909836,
+      "num_tokens": 7794803.0,
+      "step": 4280
+    },
+    {
+      "entropy": 5.411063814163208,
+      "epoch": 3.550124275062138,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004090034664297382,
+      "loss": 5.157,
+      "mean_token_accuracy": 0.17963247746229172,
+      "num_tokens": 7803533.0,
+      "step": 4285
+    },
+    {
+      "entropy": 5.421855831146241,
+      "epoch": 3.5542667771333885,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00040874663099579883,
+      "loss": 5.2246,
+      "mean_token_accuracy": 0.1706953912973404,
+      "num_tokens": 7812854.0,
+      "step": 4290
+    },
+    {
+      "entropy": 5.49954047203064,
+      "epoch": 3.5584092792046396,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040848952578028915,
+      "loss": 5.1628,
+      "mean_token_accuracy": 0.174958436191082,
+      "num_tokens": 7821683.0,
+      "step": 4295
+    },
+    {
+      "entropy": 5.501424264907837,
+      "epoch": 3.5625517812758907,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004082321513018183,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.18335361480712892,
+      "num_tokens": 7830967.0,
+      "step": 4300
+    },
+    {
+      "entropy": 5.48747296333313,
+      "epoch": 3.566694283347142,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00040797450807953897,
+      "loss": 5.2159,
+      "mean_token_accuracy": 0.17444179207086563,
+      "num_tokens": 7841179.0,
+      "step": 4305
+    },
+    {
+      "entropy": 5.489819192886353,
+      "epoch": 3.5708367854183924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004077165966331454,
+      "loss": 5.1587,
+      "mean_token_accuracy": 0.1852751389145851,
+      "num_tokens": 7849841.0,
+      "step": 4310
+    },
+    {
+      "entropy": 5.301797342300415,
+      "epoch": 3.5749792874896436,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004074584174828735,
+      "loss": 5.2184,
+      "mean_token_accuracy": 0.1747626096010208,
+      "num_tokens": 7859390.0,
+      "step": 4315
+    },
+    {
+      "entropy": 5.493851947784424,
+      "epoch": 3.5791217895608947,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040719997114949856,
+      "loss": 5.1913,
+      "mean_token_accuracy": 0.17565421015024185,
+      "num_tokens": 7868848.0,
+      "step": 4320
+    },
+    {
+      "entropy": 5.506833124160766,
+      "epoch": 3.5832642916321458,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040694125815433533,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.18058759868144988,
+      "num_tokens": 7877521.0,
+      "step": 4325
+    },
+    {
+      "entropy": 5.488465976715088,
+      "epoch": 3.587406793703397,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004066822790192359,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.17181889414787294,
+      "num_tokens": 7886355.0,
+      "step": 4330
+    },
+    {
+      "entropy": 5.437413024902344,
+      "epoch": 3.591549295774648,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00040642303426658967,
+      "loss": 5.2518,
+      "mean_token_accuracy": 0.17224401384592056,
+      "num_tokens": 7895028.0,
+      "step": 4335
+    },
+    {
+      "entropy": 5.379445266723633,
+      "epoch": 3.595691797845899,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040616352441932163,
+      "loss": 5.1282,
+      "mean_token_accuracy": 0.17695483118295668,
+      "num_tokens": 7904192.0,
+      "step": 4340
+    },
+    {
+      "entropy": 5.439553546905517,
+      "epoch": 3.59983429991715,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00040590375000089146,
+      "loss": 5.2066,
+      "mean_token_accuracy": 0.17032651007175445,
+      "num_tokens": 7912328.0,
+      "step": 4345
+    },
+    {
+      "entropy": 5.5121315002441404,
+      "epoch": 3.603976801988401,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00040564371153529256,
+      "loss": 5.2517,
+      "mean_token_accuracy": 0.1720314145088196,
+      "num_tokens": 7922594.0,
+      "step": 4350
+    },
+    {
+      "entropy": 5.450373315811158,
+      "epoch": 3.608119304059652,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004053834095470509,
+      "loss": 5.2201,
+      "mean_token_accuracy": 0.16222715824842454,
+      "num_tokens": 7932345.0,
+      "step": 4355
+    },
+    {
+      "entropy": 5.505369853973389,
+      "epoch": 3.612261806130903,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00040512284456122407,
+      "loss": 5.2236,
+      "mean_token_accuracy": 0.17660728394985198,
+      "num_tokens": 7942800.0,
+      "step": 4360
+    },
+    {
+      "entropy": 5.410261583328247,
+      "epoch": 3.616404308202154,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00040486201710340016,
+      "loss": 5.1287,
+      "mean_token_accuracy": 0.1859680861234665,
+      "num_tokens": 7951094.0,
+      "step": 4365
+    },
+    {
+      "entropy": 5.429905796051026,
+      "epoch": 3.6205468102734053,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040460092769969654,
+      "loss": 5.1947,
+      "mean_token_accuracy": 0.17089750617742538,
+      "num_tokens": 7960652.0,
+      "step": 4370
+    },
+    {
+      "entropy": 5.518308162689209,
+      "epoch": 3.624689312344656,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004043395768767592,
+      "loss": 5.2977,
+      "mean_token_accuracy": 0.16983983814716339,
+      "num_tokens": 7969350.0,
+      "step": 4375
+    },
+    {
+      "entropy": 5.475090789794922,
+      "epoch": 3.628831814415907,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004040779651617612,
+      "loss": 5.1831,
+      "mean_token_accuracy": 0.1762356474995613,
+      "num_tokens": 7978969.0,
+      "step": 4380
+    },
+    {
+      "entropy": 5.422111892700196,
+      "epoch": 3.632974316487158,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040381609308240207,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.1777448311448097,
+      "num_tokens": 7988531.0,
+      "step": 4385
+    },
+    {
+      "entropy": 5.423072242736817,
+      "epoch": 3.6371168185584093,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040355396116690634,
+      "loss": 5.1864,
+      "mean_token_accuracy": 0.17186058908700944,
+      "num_tokens": 7996576.0,
+      "step": 4390
+    },
+    {
+      "entropy": 5.435235500335693,
+      "epoch": 3.6412593206296604,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004032915699440227,
+      "loss": 5.2216,
+      "mean_token_accuracy": 0.17088689655065536,
+      "num_tokens": 8006279.0,
+      "step": 4395
+    },
+    {
+      "entropy": 5.496079921722412,
+      "epoch": 3.6454018227009115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000403028919943023,
+      "loss": 5.2049,
+      "mean_token_accuracy": 0.17314011603593826,
+      "num_tokens": 8015476.0,
+      "step": 4400
+    },
+    {
+      "entropy": 5.474205350875854,
+      "epoch": 3.6495443247721626,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004027660116937009,
+      "loss": 5.2326,
+      "mean_token_accuracy": 0.17077937126159667,
+      "num_tokens": 8025450.0,
+      "step": 4405
+    },
+    {
+      "entropy": 5.4402251720428465,
+      "epoch": 3.6536868268434133,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004025028457263712,
+      "loss": 5.2238,
+      "mean_token_accuracy": 0.17810273319482803,
+      "num_tokens": 8034850.0,
+      "step": 4410
+    },
+    {
+      "entropy": 5.3980237483978275,
+      "epoch": 3.6578293289146644,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004022394225718684,
+      "loss": 5.1709,
+      "mean_token_accuracy": 0.17368220686912536,
+      "num_tokens": 8044526.0,
+      "step": 4415
+    },
+    {
+      "entropy": 5.446775197982788,
+      "epoch": 3.6619718309859155,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004019757427615456,
+      "loss": 5.1341,
+      "mean_token_accuracy": 0.17317759096622468,
+      "num_tokens": 8054033.0,
+      "step": 4420
+    },
+    {
+      "entropy": 5.478370094299317,
+      "epoch": 3.6661143330571666,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0004017118068272739,
+      "loss": 5.2298,
+      "mean_token_accuracy": 0.17926038503646852,
+      "num_tokens": 8063535.0,
+      "step": 4425
+    },
+    {
+      "entropy": 5.495908880233765,
+      "epoch": 3.6702568351284177,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040144761530144096,
+      "loss": 5.2181,
+      "mean_token_accuracy": 0.18870080262422562,
+      "num_tokens": 8073079.0,
+      "step": 4430
+    },
+    {
+      "entropy": 5.367459678649903,
+      "epoch": 3.6743993371996684,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00040118316871695,
+      "loss": 5.1505,
+      "mean_token_accuracy": 0.18230827152729034,
+      "num_tokens": 8082925.0,
+      "step": 4435
+    },
+    {
+      "entropy": 5.457099437713623,
+      "epoch": 3.6785418392709195,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040091846760721857,
+      "loss": 5.2466,
+      "mean_token_accuracy": 0.17278454601764678,
+      "num_tokens": 8092038.0,
+      "step": 4440
+    },
+    {
+      "entropy": 5.460009002685547,
+      "epoch": 3.6826843413421706,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040065351250617774,
+      "loss": 5.2137,
+      "mean_token_accuracy": 0.1679331600666046,
+      "num_tokens": 8101581.0,
+      "step": 4445
+    },
+    {
+      "entropy": 5.392482471466065,
+      "epoch": 3.6868268434134217,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00040038830394827107,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.17032679468393325,
+      "num_tokens": 8111392.0,
+      "step": 4450
+    },
+    {
+      "entropy": 5.5369532108306885,
+      "epoch": 3.690969345484673,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000400122842468453,
+      "loss": 5.2742,
+      "mean_token_accuracy": 0.16916199624538422,
+      "num_tokens": 8120941.0,
+      "step": 4455
+    },
+    {
+      "entropy": 5.403111267089844,
+      "epoch": 3.695111847555924,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003998571286021884,
+      "loss": 5.1822,
+      "mean_token_accuracy": 0.1721450611948967,
+      "num_tokens": 8129983.0,
+      "step": 4460
+    },
+    {
+      "entropy": 5.482623481750489,
+      "epoch": 3.699254349627175,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003995911628854512,
+      "loss": 5.3064,
+      "mean_token_accuracy": 0.1740827202796936,
+      "num_tokens": 8139428.0,
+      "step": 4465
+    },
+    {
+      "entropy": 5.509563970565796,
+      "epoch": 3.7033968516984257,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003993249458547234,
+      "loss": 5.2302,
+      "mean_token_accuracy": 0.16980735808610917,
+      "num_tokens": 8148520.0,
+      "step": 4470
+    },
+    {
+      "entropy": 5.3746521949768065,
+      "epoch": 3.707539353769677,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039905847804699363,
+      "loss": 5.0676,
+      "mean_token_accuracy": 0.18766331672668457,
+      "num_tokens": 8156908.0,
+      "step": 4475
+    },
+    {
+      "entropy": 5.446433591842651,
+      "epoch": 3.711681855840928,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00039879175999975677,
+      "loss": 5.2156,
+      "mean_token_accuracy": 0.18001207262277602,
+      "num_tokens": 8165677.0,
+      "step": 4480
+    },
+    {
+      "entropy": 5.386814975738526,
+      "epoch": 3.715824357912179,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00039852479225101217,
+      "loss": 5.1883,
+      "mean_token_accuracy": 0.17356531620025634,
+      "num_tokens": 8174786.0,
+      "step": 4485
+    },
+    {
+      "entropy": 5.454575872421264,
+      "epoch": 3.71996685998343,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00039825757533926305,
+      "loss": 5.2484,
+      "mean_token_accuracy": 0.16340016275644303,
+      "num_tokens": 8184150.0,
+      "step": 4490
+    },
+    {
+      "entropy": 5.4400050163269045,
+      "epoch": 3.724109362054681,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039799010980351494,
+      "loss": 5.1455,
+      "mean_token_accuracy": 0.1879016414284706,
+      "num_tokens": 8192257.0,
+      "step": 4495
+    },
+    {
+      "entropy": 5.452324247360229,
+      "epoch": 3.728251864125932,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00039772239618327535,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.1748780906200409,
+      "num_tokens": 8201041.0,
+      "step": 4500
+    },
+    {
+      "epoch": 3.728251864125932,
+      "eval_entropy": 5.297962182620441,
+      "eval_loss": 5.854063987731934,
+      "eval_mean_token_accuracy": 0.15576711011085428,
+      "eval_num_tokens": 8201041.0,
+      "eval_runtime": 2.7449,
+      "eval_samples_per_second": 1365.057,
+      "eval_steps_per_second": 170.86,
+      "step": 4500
+    },
+    {
+      "entropy": 5.430630874633789,
+      "epoch": 3.732394366197183,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00039745443501855156,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18020173758268357,
+      "num_tokens": 8209881.0,
+      "step": 4505
+    },
+    {
+      "entropy": 5.426507759094238,
+      "epoch": 3.736536868268434,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039718622684985075,
+      "loss": 5.2198,
+      "mean_token_accuracy": 0.1857784554362297,
+      "num_tokens": 8218504.0,
+      "step": 4510
+    },
+    {
+      "entropy": 5.427436780929566,
+      "epoch": 3.7406793703396852,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000396917772218178,
+      "loss": 5.0397,
+      "mean_token_accuracy": 0.19483556151390075,
+      "num_tokens": 8226785.0,
+      "step": 4515
+    },
+    {
+      "entropy": 5.463036251068115,
+      "epoch": 3.7448218724109363,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0003966490716650357,
+      "loss": 5.1879,
+      "mean_token_accuracy": 0.1808652698993683,
+      "num_tokens": 8236092.0,
+      "step": 4520
+    },
+    {
+      "entropy": 5.398115777969361,
+      "epoch": 3.7489643744821874,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039638012573242225,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18426763266324997,
+      "num_tokens": 8245297.0,
+      "step": 4525
+    },
+    {
+      "entropy": 5.498414611816406,
+      "epoch": 3.7531068765534386,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003961109349628309,
+      "loss": 5.2544,
+      "mean_token_accuracy": 0.16994525790214537,
+      "num_tokens": 8254772.0,
+      "step": 4530
+    },
+    {
+      "entropy": 5.488787031173706,
+      "epoch": 3.757249378624689,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000395841499899249,
+      "loss": 5.3168,
+      "mean_token_accuracy": 0.1684611275792122,
+      "num_tokens": 8264310.0,
+      "step": 4535
+    },
+    {
+      "entropy": 5.4844201564788815,
+      "epoch": 3.7613918806959403,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00039557182108515624,
+      "loss": 5.2197,
+      "mean_token_accuracy": 0.1802253693342209,
+      "num_tokens": 8274184.0,
+      "step": 4540
+    },
+    {
+      "entropy": 5.40406289100647,
+      "epoch": 3.7655343827671914,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039530189906452457,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.18066346347332002,
+      "num_tokens": 8283151.0,
+      "step": 4545
+    },
+    {
+      "entropy": 5.490919494628907,
+      "epoch": 3.7696768848384425,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00039503173438181605,
+      "loss": 5.2375,
+      "mean_token_accuracy": 0.16958207488059998,
+      "num_tokens": 8292574.0,
+      "step": 4550
+    },
+    {
+      "entropy": 5.37688570022583,
+      "epoch": 3.773819386909693,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039476132758198236,
+      "loss": 5.1589,
+      "mean_token_accuracy": 0.17906700521707536,
+      "num_tokens": 8301281.0,
+      "step": 4555
+    },
+    {
+      "entropy": 5.404768991470337,
+      "epoch": 3.7779618889809443,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039449067921046353,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.184201979637146,
+      "num_tokens": 8310201.0,
+      "step": 4560
+    },
+    {
+      "entropy": 5.5153802871704105,
+      "epoch": 3.7821043910521954,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00039421978981318703,
+      "loss": 5.243,
+      "mean_token_accuracy": 0.17428653091192245,
+      "num_tokens": 8320369.0,
+      "step": 4565
+    },
+    {
+      "entropy": 5.490174674987793,
+      "epoch": 3.7862468931234465,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00039394865993656625,
+      "loss": 5.2332,
+      "mean_token_accuracy": 0.17829314470291138,
+      "num_tokens": 8329519.0,
+      "step": 4570
+    },
+    {
+      "entropy": 5.4183516025543215,
+      "epoch": 3.7903893951946976,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003936772901274999,
+      "loss": 5.2233,
+      "mean_token_accuracy": 0.16786337196826934,
+      "num_tokens": 8338282.0,
+      "step": 4575
+    },
+    {
+      "entropy": 5.422275066375732,
+      "epoch": 3.7945318972659487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003934056809333705,
+      "loss": 5.2367,
+      "mean_token_accuracy": 0.1760738953948021,
+      "num_tokens": 8346861.0,
+      "step": 4580
+    },
+    {
+      "entropy": 5.493864250183106,
+      "epoch": 3.7986743993372,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039313383290204333,
+      "loss": 5.2689,
+      "mean_token_accuracy": 0.16675272732973098,
+      "num_tokens": 8356078.0,
+      "step": 4585
+    },
+    {
+      "entropy": 5.449766826629639,
+      "epoch": 3.802816901408451,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003928617465818658,
+      "loss": 5.2279,
+      "mean_token_accuracy": 0.16728012412786483,
+      "num_tokens": 8365487.0,
+      "step": 4590
+    },
+    {
+      "entropy": 5.477828598022461,
+      "epoch": 3.8069594034797016,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00039258942252166554,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.17344195693731307,
+      "num_tokens": 8374622.0,
+      "step": 4595
+    },
+    {
+      "entropy": 5.467281007766724,
+      "epoch": 3.8111019055509527,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003923168612707502,
+      "loss": 5.1437,
+      "mean_token_accuracy": 0.1838704138994217,
+      "num_tokens": 8383312.0,
+      "step": 4600
+    },
+    {
+      "entropy": 5.375951862335205,
+      "epoch": 3.815244407622204,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003920440633789053,
+      "loss": 5.1668,
+      "mean_token_accuracy": 0.17426021844148637,
+      "num_tokens": 8391987.0,
+      "step": 4605
+    },
+    {
+      "entropy": 5.411648225784302,
+      "epoch": 3.819386909693455,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039177102939639424,
+      "loss": 5.1782,
+      "mean_token_accuracy": 0.17309755831956863,
+      "num_tokens": 8401263.0,
+      "step": 4610
+    },
+    {
+      "entropy": 5.520602798461914,
+      "epoch": 3.8235294117647056,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003914977598739563,
+      "loss": 5.1998,
+      "mean_token_accuracy": 0.18663258850574493,
+      "num_tokens": 8410110.0,
+      "step": 4615
+    },
+    {
+      "entropy": 5.505752420425415,
+      "epoch": 3.8276719138359567,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003912242553628059,
+      "loss": 5.2827,
+      "mean_token_accuracy": 0.16937017440795898,
+      "num_tokens": 8419321.0,
+      "step": 4620
+    },
+    {
+      "entropy": 5.470319938659668,
+      "epoch": 3.831814415907208,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003909505164146318,
+      "loss": 5.2512,
+      "mean_token_accuracy": 0.17635022550821305,
+      "num_tokens": 8428376.0,
+      "step": 4625
+    },
+    {
+      "entropy": 5.446829080581665,
+      "epoch": 3.835956917978459,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000390676543581595,
+      "loss": 5.1826,
+      "mean_token_accuracy": 0.1743323564529419,
+      "num_tokens": 8437263.0,
+      "step": 4630
+    },
+    {
+      "entropy": 5.361465311050415,
+      "epoch": 3.84009942004971,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003904023374163289,
+      "loss": 5.1943,
+      "mean_token_accuracy": 0.17949013262987137,
+      "num_tokens": 8445889.0,
+      "step": 4635
+    },
+    {
+      "entropy": 5.503735971450806,
+      "epoch": 3.844241922120961,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003901278984719372,
+      "loss": 5.3739,
+      "mean_token_accuracy": 0.16415481567382811,
+      "num_tokens": 8456086.0,
+      "step": 4640
+    },
+    {
+      "entropy": 5.492273569107056,
+      "epoch": 3.8483844241922123,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00038985322730199326,
+      "loss": 5.2018,
+      "mean_token_accuracy": 0.1795567825436592,
+      "num_tokens": 8465150.0,
+      "step": 4645
+    },
+    {
+      "entropy": 5.431647396087646,
+      "epoch": 3.8525269262634634,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003895783244605389,
+      "loss": 5.2783,
+      "mean_token_accuracy": 0.1720671087503433,
+      "num_tokens": 8474172.0,
+      "step": 4650
+    },
+    {
+      "entropy": 5.404905462265015,
+      "epoch": 3.856669428334714,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00038930319050208315,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.18708953112363816,
+      "num_tokens": 8483636.0,
+      "step": 4655
+    },
+    {
+      "entropy": 5.408392810821534,
+      "epoch": 3.860811930405965,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00038902782598160127,
+      "loss": 5.1091,
+      "mean_token_accuracy": 0.1881578117609024,
+      "num_tokens": 8491560.0,
+      "step": 4660
+    },
+    {
+      "entropy": 5.484521150588989,
+      "epoch": 3.8649544324772163,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00038875223145453346,
+      "loss": 5.4046,
+      "mean_token_accuracy": 0.17662398070096968,
+      "num_tokens": 8501685.0,
+      "step": 4665
+    },
+    {
+      "entropy": 5.551066589355469,
+      "epoch": 3.8690969345484674,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003884764074767842,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.17176942974328996,
+      "num_tokens": 8510580.0,
+      "step": 4670
+    },
+    {
+      "entropy": 5.477302551269531,
+      "epoch": 3.873239436619718,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003882003546047205,
+      "loss": 5.2013,
+      "mean_token_accuracy": 0.17522621154785156,
+      "num_tokens": 8519595.0,
+      "step": 4675
+    },
+    {
+      "entropy": 5.506098508834839,
+      "epoch": 3.877381938690969,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00038792407339517123,
+      "loss": 5.2786,
+      "mean_token_accuracy": 0.17400375306606292,
+      "num_tokens": 8529118.0,
+      "step": 4680
+    },
+    {
+      "entropy": 5.507658243179321,
+      "epoch": 3.8815244407622203,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00038764756440542574,
+      "loss": 5.2477,
+      "mean_token_accuracy": 0.17185091674327851,
+      "num_tokens": 8539322.0,
+      "step": 4685
+    },
+    {
+      "entropy": 5.454025650024414,
+      "epoch": 3.8856669428334714,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038737082819323285,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.17740404605865479,
+      "num_tokens": 8548707.0,
+      "step": 4690
+    },
+    {
+      "entropy": 5.427890157699585,
+      "epoch": 3.8898094449047225,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00038709386531679974,
+      "loss": 5.2576,
+      "mean_token_accuracy": 0.1718251511454582,
+      "num_tokens": 8557500.0,
+      "step": 4695
+    },
+    {
+      "entropy": 5.436252593994141,
+      "epoch": 3.8939519469759736,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00038681667633479086,
+      "loss": 5.2621,
+      "mean_token_accuracy": 0.1682343602180481,
+      "num_tokens": 8567465.0,
+      "step": 4700
+    },
+    {
+      "entropy": 5.381856250762939,
+      "epoch": 3.8980944490472247,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038653926180632665,
+      "loss": 5.1165,
+      "mean_token_accuracy": 0.18321423530578612,
+      "num_tokens": 8576680.0,
+      "step": 4705
+    },
+    {
+      "entropy": 5.495894527435302,
+      "epoch": 3.902236951118476,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00038626162229098257,
+      "loss": 5.2631,
+      "mean_token_accuracy": 0.16617788672447203,
+      "num_tokens": 8585539.0,
+      "step": 4710
+    },
+    {
+      "entropy": 5.400326347351074,
+      "epoch": 3.9063794531897265,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003859837583487877,
+      "loss": 5.1007,
+      "mean_token_accuracy": 0.18613590002059938,
+      "num_tokens": 8593598.0,
+      "step": 4715
+    },
+    {
+      "entropy": 5.4148589134216305,
+      "epoch": 3.9105219552609776,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003857056705402241,
+      "loss": 5.236,
+      "mean_token_accuracy": 0.1721765860915184,
+      "num_tokens": 8603440.0,
+      "step": 4720
+    },
+    {
+      "entropy": 5.384281969070434,
+      "epoch": 3.9146644573322287,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003854273594262253,
+      "loss": 5.0591,
+      "mean_token_accuracy": 0.1858549162745476,
+      "num_tokens": 8612490.0,
+      "step": 4725
+    },
+    {
+      "entropy": 5.387153816223145,
+      "epoch": 3.91880695940348,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003851488255681752,
+      "loss": 5.1508,
+      "mean_token_accuracy": 0.17980385273694993,
+      "num_tokens": 8621994.0,
+      "step": 4730
+    },
+    {
+      "entropy": 5.462166833877563,
+      "epoch": 3.922949461474731,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000384870069527907,
+      "loss": 5.2269,
+      "mean_token_accuracy": 0.16994049549102783,
+      "num_tokens": 8631185.0,
+      "step": 4735
+    },
+    {
+      "entropy": 5.445327711105347,
+      "epoch": 3.9270919635459816,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00038459109186770213,
+      "loss": 5.1201,
+      "mean_token_accuracy": 0.18937034606933595,
+      "num_tokens": 8639018.0,
+      "step": 4740
+    },
+    {
+      "entropy": 5.365725660324097,
+      "epoch": 3.9312344656172327,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00038431189315028905,
+      "loss": 5.1293,
+      "mean_token_accuracy": 0.1805494785308838,
+      "num_tokens": 8647672.0,
+      "step": 4745
+    },
+    {
+      "entropy": 5.42286114692688,
+      "epoch": 3.9353769676884838,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003840324739388419,
+      "loss": 5.2659,
+      "mean_token_accuracy": 0.16662627309560776,
+      "num_tokens": 8656638.0,
+      "step": 4750
+    },
+    {
+      "entropy": 5.4803203582763675,
+      "epoch": 3.939519469759735,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00038375283479698,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.18231208473443986,
+      "num_tokens": 8666167.0,
+      "step": 4755
+    },
+    {
+      "entropy": 5.505121231079102,
+      "epoch": 3.943661971830986,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003834729762887659,
+      "loss": 5.3067,
+      "mean_token_accuracy": 0.16447765678167342,
+      "num_tokens": 8676435.0,
+      "step": 4760
+    },
+    {
+      "entropy": 5.413615751266479,
+      "epoch": 3.947804473902237,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003831928989787049,
+      "loss": 5.1808,
+      "mean_token_accuracy": 0.18012969940900803,
+      "num_tokens": 8686011.0,
+      "step": 4765
+    },
+    {
+      "entropy": 5.463970613479614,
+      "epoch": 3.951946975973488,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003829126034317435,
+      "loss": 5.1959,
+      "mean_token_accuracy": 0.17213619947433473,
+      "num_tokens": 8695063.0,
+      "step": 4770
+    },
+    {
+      "entropy": 5.517300796508789,
+      "epoch": 3.956089478044739,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003826320902132684,
+      "loss": 5.299,
+      "mean_token_accuracy": 0.16880902647972107,
+      "num_tokens": 8704585.0,
+      "step": 4775
+    },
+    {
+      "entropy": 5.469470262527466,
+      "epoch": 3.96023198011599,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038235135988910545,
+      "loss": 5.2111,
+      "mean_token_accuracy": 0.17501715570688248,
+      "num_tokens": 8714097.0,
+      "step": 4780
+    },
+    {
+      "entropy": 5.433980226516724,
+      "epoch": 3.964374482187241,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00038207041302551844,
+      "loss": 5.1327,
+      "mean_token_accuracy": 0.1802523225545883,
+      "num_tokens": 8722890.0,
+      "step": 4785
+    },
+    {
+      "entropy": 5.36038613319397,
+      "epoch": 3.968516984258492,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003817892501892078,
+      "loss": 5.1474,
+      "mean_token_accuracy": 0.18226009160280227,
+      "num_tokens": 8732046.0,
+      "step": 4790
+    },
+    {
+      "entropy": 5.385818529129028,
+      "epoch": 3.9726594863297433,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038150787194730977,
+      "loss": 5.1867,
+      "mean_token_accuracy": 0.18098812699317932,
+      "num_tokens": 8741750.0,
+      "step": 4795
+    },
+    {
+      "entropy": 5.49769434928894,
+      "epoch": 3.976801988400994,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000381226278867395,
+      "loss": 5.1585,
+      "mean_token_accuracy": 0.17722393125295638,
+      "num_tokens": 8750141.0,
+      "step": 4800
+    },
+    {
+      "entropy": 5.3994584560394285,
+      "epoch": 3.980944490472245,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00038094447151746746,
+      "loss": 5.0956,
+      "mean_token_accuracy": 0.18723244071006775,
+      "num_tokens": 8758567.0,
+      "step": 4805
+    },
+    {
+      "entropy": 5.376461982727051,
+      "epoch": 3.985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003806624504659635,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1782562255859375,
+      "num_tokens": 8767829.0,
+      "step": 4810
+    },
+    {
+      "entropy": 5.416551733016968,
+      "epoch": 3.9892294946147473,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003803802162817503,
+      "loss": 5.0891,
+      "mean_token_accuracy": 0.18413031548261644,
+      "num_tokens": 8776911.0,
+      "step": 4815
+    },
+    {
+      "entropy": 5.403548002243042,
+      "epoch": 3.9933719966859984,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000380097769534125,
+      "loss": 5.2011,
+      "mean_token_accuracy": 0.18309975266456605,
+      "num_tokens": 8786117.0,
+      "step": 4820
+    },
+    {
+      "entropy": 5.401311016082763,
+      "epoch": 3.9975144987572495,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003798151107928136,
+      "loss": 5.1436,
+      "mean_token_accuracy": 0.18381998240947722,
+      "num_tokens": 8795647.0,
+      "step": 4825
+    },
+    {
+      "entropy": 5.363515567779541,
+      "epoch": 4.001657000828501,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00037953224062796967,
+      "loss": 5.1114,
+      "mean_token_accuracy": 0.18405449539422988,
+      "num_tokens": 8803480.0,
+      "step": 4830
+    },
+    {
+      "entropy": 5.504069137573242,
+      "epoch": 4.005799502899752,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003792491596101733,
+      "loss": 4.9454,
+      "mean_token_accuracy": 0.19255731254816055,
+      "num_tokens": 8812825.0,
+      "step": 4835
+    },
+    {
+      "entropy": 5.45196304321289,
+      "epoch": 4.009942004971003,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003789658683104298,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19097152799367906,
+      "num_tokens": 8821911.0,
+      "step": 4840
+    },
+    {
+      "entropy": 5.429521989822388,
+      "epoch": 4.014084507042254,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037868236730016866,
+      "loss": 4.9518,
+      "mean_token_accuracy": 0.18948255032300948,
+      "num_tokens": 8830691.0,
+      "step": 4845
+    },
+    {
+      "entropy": 5.400455188751221,
+      "epoch": 4.018227009113504,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037839865715124234,
+      "loss": 4.9281,
+      "mean_token_accuracy": 0.19010053426027299,
+      "num_tokens": 8840410.0,
+      "step": 4850
+    },
+    {
+      "entropy": 5.374143838882446,
+      "epoch": 4.022369511184755,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00037811473843592534,
+      "loss": 4.9042,
+      "mean_token_accuracy": 0.19410175532102586,
+      "num_tokens": 8849662.0,
+      "step": 4855
+    },
+    {
+      "entropy": 5.4465690612792965,
+      "epoch": 4.026512013256006,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00037783061172691273,
+      "loss": 4.8985,
+      "mean_token_accuracy": 0.19412659406661986,
+      "num_tokens": 8858666.0,
+      "step": 4860
+    },
+    {
+      "entropy": 5.497456216812134,
+      "epoch": 4.0306545153272575,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003775462775973191,
+      "loss": 4.9611,
+      "mean_token_accuracy": 0.1847592905163765,
+      "num_tokens": 8867885.0,
+      "step": 4865
+    },
+    {
+      "entropy": 5.351856470108032,
+      "epoch": 4.034797017398509,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003772617366206773,
+      "loss": 4.9175,
+      "mean_token_accuracy": 0.19424951672554017,
+      "num_tokens": 8877458.0,
+      "step": 4870
+    },
+    {
+      "entropy": 5.363556432723999,
+      "epoch": 4.03893951946976,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037697698937093783,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.18704084753990174,
+      "num_tokens": 8886995.0,
+      "step": 4875
+    },
+    {
+      "entropy": 5.463095617294312,
+      "epoch": 4.043082021541011,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00037669203642246685,
+      "loss": 5.026,
+      "mean_token_accuracy": 0.18413490056991577,
+      "num_tokens": 8895224.0,
+      "step": 4880
+    },
+    {
+      "entropy": 5.4529016494750975,
+      "epoch": 4.047224523612262,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00037640687835004567,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.1925043895840645,
+      "num_tokens": 8905216.0,
+      "step": 4885
+    },
+    {
+      "entropy": 5.426698875427246,
+      "epoch": 4.051367025683513,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003761215157288692,
+      "loss": 4.9558,
+      "mean_token_accuracy": 0.19299548715353013,
+      "num_tokens": 8915493.0,
+      "step": 4890
+    },
+    {
+      "entropy": 5.362393617630005,
+      "epoch": 4.055509527754764,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00037583594913454514,
+      "loss": 4.925,
+      "mean_token_accuracy": 0.1959809884428978,
+      "num_tokens": 8924740.0,
+      "step": 4895
+    },
+    {
+      "entropy": 5.42564959526062,
+      "epoch": 4.059652029826015,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003755501791430925,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.18527257889509202,
+      "num_tokens": 8934726.0,
+      "step": 4900
+    },
+    {
+      "entropy": 5.448423719406128,
+      "epoch": 4.063794531897266,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00037526420633094044,
+      "loss": 4.9581,
+      "mean_token_accuracy": 0.18748125433921814,
+      "num_tokens": 8944301.0,
+      "step": 4905
+    },
+    {
+      "entropy": 5.449982643127441,
+      "epoch": 4.067937033968517,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037497803127492757,
+      "loss": 4.9881,
+      "mean_token_accuracy": 0.19187170565128325,
+      "num_tokens": 8953967.0,
+      "step": 4910
+    },
+    {
+      "entropy": 5.326543855667114,
+      "epoch": 4.072079536039768,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003746916545523001,
+      "loss": 4.8948,
+      "mean_token_accuracy": 0.19177066087722777,
+      "num_tokens": 8962983.0,
+      "step": 4915
+    },
+    {
+      "entropy": 5.381871175765991,
+      "epoch": 4.076222038111019,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003744050767407113,
+      "loss": 5.0191,
+      "mean_token_accuracy": 0.18154184073209761,
+      "num_tokens": 8972019.0,
+      "step": 4920
+    },
+    {
+      "entropy": 5.40556058883667,
+      "epoch": 4.08036454018227,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0003741182984182198,
+      "loss": 4.901,
+      "mean_token_accuracy": 0.20234887301921844,
+      "num_tokens": 8981751.0,
+      "step": 4925
+    },
+    {
+      "entropy": 5.3616517066955565,
+      "epoch": 4.084507042253521,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003738313201632889,
+      "loss": 4.8923,
+      "mean_token_accuracy": 0.19780989587306977,
+      "num_tokens": 8990330.0,
+      "step": 4930
+    },
+    {
+      "entropy": 5.314311408996582,
+      "epoch": 4.088649544324772,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003735441425547851,
+      "loss": 4.905,
+      "mean_token_accuracy": 0.19072338491678237,
+      "num_tokens": 8998366.0,
+      "step": 4935
+    },
+    {
+      "entropy": 5.290538501739502,
+      "epoch": 4.092792046396023,
+      "grad_norm": 1.828125,
+      "learning_rate": 0.00037325676617197697,
+      "loss": 4.8317,
+      "mean_token_accuracy": 0.20186650305986403,
+      "num_tokens": 9006881.0,
+      "step": 4940
+    },
+    {
+      "entropy": 5.323595571517944,
+      "epoch": 4.096934548467274,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0003729691915945342,
+      "loss": 4.8944,
+      "mean_token_accuracy": 0.19853760153055192,
+      "num_tokens": 9015415.0,
+      "step": 4945
+    },
+    {
+      "entropy": 5.40374059677124,
+      "epoch": 4.1010770505385254,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000372681419402526,
+      "loss": 4.9483,
+      "mean_token_accuracy": 0.19546929001808167,
+      "num_tokens": 9024578.0,
+      "step": 4950
+    },
+    {
+      "entropy": 5.381409311294556,
+      "epoch": 4.105219552609777,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003723934501764203,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.1867024227976799,
+      "num_tokens": 9032637.0,
+      "step": 4955
+    },
+    {
+      "entropy": 5.395318984985352,
+      "epoch": 4.109362054681028,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0003721052844970826,
+      "loss": 4.8913,
+      "mean_token_accuracy": 0.18718749284744263,
+      "num_tokens": 9041513.0,
+      "step": 4960
+    },
+    {
+      "entropy": 5.394489192962647,
+      "epoch": 4.113504556752279,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00037181692294577457,
+      "loss": 4.9155,
+      "mean_token_accuracy": 0.1854037255048752,
+      "num_tokens": 9051024.0,
+      "step": 4965
+    },
+    {
+      "entropy": 5.33848295211792,
+      "epoch": 4.117647058823529,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037152836610415284,
+      "loss": 4.8895,
+      "mean_token_accuracy": 0.19274405539035797,
+      "num_tokens": 9059494.0,
+      "step": 4970
+    },
+    {
+      "entropy": 5.31979193687439,
+      "epoch": 4.12178956089478,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00037123961455426836,
+      "loss": 4.7988,
+      "mean_token_accuracy": 0.19865831583738328,
+      "num_tokens": 9068166.0,
+      "step": 4975
+    },
+    {
+      "entropy": 5.391095542907715,
+      "epoch": 4.125932062966031,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00037095066887856434,
+      "loss": 4.907,
+      "mean_token_accuracy": 0.19333944320678711,
+      "num_tokens": 9077283.0,
+      "step": 4980
+    },
+    {
+      "entropy": 5.3755443572998045,
+      "epoch": 4.130074565037282,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003706615296598758,
+      "loss": 4.9332,
+      "mean_token_accuracy": 0.19493403136730195,
+      "num_tokens": 9086605.0,
+      "step": 4985
+    },
+    {
+      "entropy": 5.301020622253418,
+      "epoch": 4.134217067108533,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003703721974814282,
+      "loss": 4.9169,
+      "mean_token_accuracy": 0.19399153292179108,
+      "num_tokens": 9095567.0,
+      "step": 4990
+    },
+    {
+      "entropy": 5.282594537734985,
+      "epoch": 4.1383595691797845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00037008267292683615,
+      "loss": 4.9012,
+      "mean_token_accuracy": 0.19265301078557967,
+      "num_tokens": 9104457.0,
+      "step": 4995
+    },
+    {
+      "entropy": 5.398877716064453,
+      "epoch": 4.142502071251036,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036979295658010227,
+      "loss": 4.9533,
+      "mean_token_accuracy": 0.20162091553211212,
+      "num_tokens": 9113945.0,
+      "step": 5000
+    },
+    {
+      "epoch": 4.142502071251036,
+      "eval_entropy": 5.273210916946184,
+      "eval_loss": 5.83656120300293,
+      "eval_mean_token_accuracy": 0.15772452866281272,
+      "eval_num_tokens": 9113945.0,
+      "eval_runtime": 2.9415,
+      "eval_samples_per_second": 1273.844,
+      "eval_steps_per_second": 159.443,
+      "step": 5000
+    },
+    {
+      "entropy": 5.424594402313232,
+      "epoch": 4.146644573322287,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003695030490256161,
+      "loss": 5.0303,
+      "mean_token_accuracy": 0.18944208920001984,
+      "num_tokens": 9122996.0,
+      "step": 5005
+    },
+    {
+      "entropy": 5.355675983428955,
+      "epoch": 4.150787075393538,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000369212950848153,
+      "loss": 4.8793,
+      "mean_token_accuracy": 0.1962927296757698,
+      "num_tokens": 9132079.0,
+      "step": 5010
+    },
+    {
+      "entropy": 5.384340238571167,
+      "epoch": 4.154929577464789,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003689226626328725,
+      "loss": 5.0058,
+      "mean_token_accuracy": 0.19004727751016617,
+      "num_tokens": 9141335.0,
+      "step": 5015
+    },
+    {
+      "entropy": 5.442283582687378,
+      "epoch": 4.15907207953604,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00036863218496531767,
+      "loss": 5.0264,
+      "mean_token_accuracy": 0.18990386426448821,
+      "num_tokens": 9150049.0,
+      "step": 5020
+    },
+    {
+      "entropy": 5.409811115264892,
+      "epoch": 4.163214581607291,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003683415184314139,
+      "loss": 4.9057,
+      "mean_token_accuracy": 0.19072521328926087,
+      "num_tokens": 9159245.0,
+      "step": 5025
+    },
+    {
+      "entropy": 5.281745195388794,
+      "epoch": 4.167357083678542,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00036805066361746716,
+      "loss": 4.9432,
+      "mean_token_accuracy": 0.19057238101959229,
+      "num_tokens": 9167892.0,
+      "step": 5030
+    },
+    {
+      "entropy": 5.262811374664307,
+      "epoch": 4.1714995857497925,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036775962111016346,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.19675376862287522,
+      "num_tokens": 9176067.0,
+      "step": 5035
+    },
+    {
+      "entropy": 5.335107898712158,
+      "epoch": 4.175642087821044,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036746839149656734,
+      "loss": 4.9032,
+      "mean_token_accuracy": 0.19636716991662978,
+      "num_tokens": 9185318.0,
+      "step": 5040
+    },
+    {
+      "entropy": 5.338614749908447,
+      "epoch": 4.179784589892295,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003671769753641207,
+      "loss": 4.9605,
+      "mean_token_accuracy": 0.19530149400234223,
+      "num_tokens": 9194885.0,
+      "step": 5045
+    },
+    {
+      "entropy": 5.349650192260742,
+      "epoch": 4.183927091963546,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00036688537330064187,
+      "loss": 4.987,
+      "mean_token_accuracy": 0.19436514377593994,
+      "num_tokens": 9203906.0,
+      "step": 5050
+    },
+    {
+      "entropy": 5.318757629394531,
+      "epoch": 4.188069594034797,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000366593585894324,
+      "loss": 4.8507,
+      "mean_token_accuracy": 0.2013680413365364,
+      "num_tokens": 9213351.0,
+      "step": 5055
+    },
+    {
+      "entropy": 5.347932624816894,
+      "epoch": 4.192212096106048,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003663016137337341,
+      "loss": 4.9278,
+      "mean_token_accuracy": 0.18784158080816268,
+      "num_tokens": 9222191.0,
+      "step": 5060
+    },
+    {
+      "entropy": 5.372864198684693,
+      "epoch": 4.196354598177299,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00036600945740781197,
+      "loss": 4.9668,
+      "mean_token_accuracy": 0.1919815331697464,
+      "num_tokens": 9231517.0,
+      "step": 5065
+    },
+    {
+      "entropy": 5.393643712997436,
+      "epoch": 4.20049710024855,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036571711750586896,
+      "loss": 4.9891,
+      "mean_token_accuracy": 0.19960682690143586,
+      "num_tokens": 9241208.0,
+      "step": 5070
+    },
+    {
+      "entropy": 5.391959381103516,
+      "epoch": 4.204639602319801,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003654245946175864,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19324131309986115,
+      "num_tokens": 9250237.0,
+      "step": 5075
+    },
+    {
+      "entropy": 5.37893590927124,
+      "epoch": 4.2087821043910525,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00036513188933301504,
+      "loss": 5.0399,
+      "mean_token_accuracy": 0.18783097416162492,
+      "num_tokens": 9260273.0,
+      "step": 5080
+    },
+    {
+      "entropy": 5.378773164749146,
+      "epoch": 4.212924606462304,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003648390022425734,
+      "loss": 4.8996,
+      "mean_token_accuracy": 0.19140231609344482,
+      "num_tokens": 9268878.0,
+      "step": 5085
+    },
+    {
+      "entropy": 5.325588417053223,
+      "epoch": 4.217067108533554,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003645459339370468,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19706592857837676,
+      "num_tokens": 9276324.0,
+      "step": 5090
+    },
+    {
+      "entropy": 5.312953901290894,
+      "epoch": 4.221209610604805,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036425268500758594,
+      "loss": 4.9725,
+      "mean_token_accuracy": 0.1936806783080101,
+      "num_tokens": 9285052.0,
+      "step": 5095
+    },
+    {
+      "entropy": 5.354986000061035,
+      "epoch": 4.225352112676056,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036395925604570614,
+      "loss": 4.8763,
+      "mean_token_accuracy": 0.20042537599802018,
+      "num_tokens": 9293324.0,
+      "step": 5100
+    },
+    {
+      "entropy": 5.3900477409362795,
+      "epoch": 4.229494614747307,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003636656476432854,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19263672083616257,
+      "num_tokens": 9302131.0,
+      "step": 5105
+    },
+    {
+      "entropy": 5.263408470153808,
+      "epoch": 4.233637116818558,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003633718603925642,
+      "loss": 4.862,
+      "mean_token_accuracy": 0.19388986378908157,
+      "num_tokens": 9311128.0,
+      "step": 5110
+    },
+    {
+      "entropy": 5.420498418807983,
+      "epoch": 4.237779618889809,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0003630778948861434,
+      "loss": 4.9352,
+      "mean_token_accuracy": 0.1895424723625183,
+      "num_tokens": 9319849.0,
+      "step": 5115
+    },
+    {
+      "entropy": 5.336805248260498,
+      "epoch": 4.2419221209610605,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003627837517169836,
+      "loss": 4.9458,
+      "mean_token_accuracy": 0.18560263216495515,
+      "num_tokens": 9328355.0,
+      "step": 5120
+    },
+    {
+      "entropy": 5.352609777450562,
+      "epoch": 4.246064623032312,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003624894314784037,
+      "loss": 4.9236,
+      "mean_token_accuracy": 0.18928787410259246,
+      "num_tokens": 9337562.0,
+      "step": 5125
+    },
+    {
+      "entropy": 5.323793935775757,
+      "epoch": 4.250207125103563,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003621949347640797,
+      "loss": 4.9315,
+      "mean_token_accuracy": 0.196185165643692,
+      "num_tokens": 9347851.0,
+      "step": 5130
+    },
+    {
+      "entropy": 5.398552274703979,
+      "epoch": 4.254349627174814,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003619002621680439,
+      "loss": 4.9325,
+      "mean_token_accuracy": 0.19673411697149276,
+      "num_tokens": 9356524.0,
+      "step": 5135
+    },
+    {
+      "entropy": 5.4241108894348145,
+      "epoch": 4.258492129246065,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003616054142846829,
+      "loss": 5.0307,
+      "mean_token_accuracy": 0.1882170706987381,
+      "num_tokens": 9365521.0,
+      "step": 5140
+    },
+    {
+      "entropy": 5.301144218444824,
+      "epoch": 4.262634631317316,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003613103917087371,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19470559656620026,
+      "num_tokens": 9374088.0,
+      "step": 5145
+    },
+    {
+      "entropy": 5.345515966415405,
+      "epoch": 4.266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003610151950352994,
+      "loss": 4.9794,
+      "mean_token_accuracy": 0.19499585926532745,
+      "num_tokens": 9382683.0,
+      "step": 5150
+    },
+    {
+      "entropy": 5.306409788131714,
+      "epoch": 4.270919635459817,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0003607198248598137,
+      "loss": 4.9063,
+      "mean_token_accuracy": 0.194849793612957,
+      "num_tokens": 9391790.0,
+      "step": 5155
+    },
+    {
+      "entropy": 5.414876556396484,
+      "epoch": 4.2750621375310685,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003604242817780739,
+      "loss": 4.9901,
+      "mean_token_accuracy": 0.19321189671754838,
+      "num_tokens": 9400234.0,
+      "step": 5160
+    },
+    {
+      "entropy": 5.350374364852906,
+      "epoch": 4.27920463960232,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036012856638622273,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19192621409893035,
+      "num_tokens": 9409513.0,
+      "step": 5165
+    },
+    {
+      "entropy": 5.292260932922363,
+      "epoch": 4.283347141673571,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003598326792807504,
+      "loss": 4.9821,
+      "mean_token_accuracy": 0.18258902430534363,
+      "num_tokens": 9418608.0,
+      "step": 5170
+    },
+    {
+      "entropy": 5.427756977081299,
+      "epoch": 4.287489643744822,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00035953662105849357,
+      "loss": 5.0092,
+      "mean_token_accuracy": 0.19452760964632035,
+      "num_tokens": 9428705.0,
+      "step": 5175
+    },
+    {
+      "entropy": 5.3185462474823,
+      "epoch": 4.291632145816073,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000359240392316634,
+      "loss": 4.9177,
+      "mean_token_accuracy": 0.18542011678218842,
+      "num_tokens": 9438149.0,
+      "step": 5180
+    },
+    {
+      "entropy": 5.330511379241943,
+      "epoch": 4.295774647887324,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003589439936526974,
+      "loss": 4.8709,
+      "mean_token_accuracy": 0.19628295600414275,
+      "num_tokens": 9447566.0,
+      "step": 5185
+    },
+    {
+      "entropy": 5.303903436660766,
+      "epoch": 4.299917149958575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003586474256645525,
+      "loss": 4.9641,
+      "mean_token_accuracy": 0.1915314257144928,
+      "num_tokens": 9458156.0,
+      "step": 5190
+    },
+    {
+      "entropy": 5.410308837890625,
+      "epoch": 4.304059652029826,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035835068895040905,
+      "loss": 5.0014,
+      "mean_token_accuracy": 0.19137390553951264,
+      "num_tokens": 9467388.0,
+      "step": 5195
+    },
+    {
+      "entropy": 5.388073253631592,
+      "epoch": 4.308202154101077,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00035805378410881753,
+      "loss": 4.9642,
+      "mean_token_accuracy": 0.1940509021282196,
+      "num_tokens": 9477515.0,
+      "step": 5200
+    },
+    {
+      "entropy": 5.389194107055664,
+      "epoch": 4.312344656172328,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003577567117386675,
+      "loss": 4.9854,
+      "mean_token_accuracy": 0.1937498316168785,
+      "num_tokens": 9485851.0,
+      "step": 5205
+    },
+    {
+      "entropy": 5.377271747589111,
+      "epoch": 4.3164871582435795,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003574594724391863,
+      "loss": 4.9773,
+      "mean_token_accuracy": 0.18631901144981383,
+      "num_tokens": 9495523.0,
+      "step": 5210
+    },
+    {
+      "entropy": 5.303675985336303,
+      "epoch": 4.32062966031483,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003571620668099382,
+      "loss": 4.9104,
+      "mean_token_accuracy": 0.19740363359451293,
+      "num_tokens": 9504195.0,
+      "step": 5215
+    },
+    {
+      "entropy": 5.377063655853272,
+      "epoch": 4.324772162386081,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003568644954508227,
+      "loss": 4.9616,
+      "mean_token_accuracy": 0.1940310388803482,
+      "num_tokens": 9513313.0,
+      "step": 5220
+    },
+    {
+      "entropy": 5.400073862075805,
+      "epoch": 4.328914664457332,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003565667589620739,
+      "loss": 5.0313,
+      "mean_token_accuracy": 0.18615816980600358,
+      "num_tokens": 9522387.0,
+      "step": 5225
+    },
+    {
+      "entropy": 5.380652332305909,
+      "epoch": 4.333057166528583,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003562688579442588,
+      "loss": 4.9582,
+      "mean_token_accuracy": 0.1893748164176941,
+      "num_tokens": 9531522.0,
+      "step": 5230
+    },
+    {
+      "entropy": 5.349949216842651,
+      "epoch": 4.337199668599834,
+      "grad_norm": 1.6171875,
+      "learning_rate": 0.00035597079299827625,
+      "loss": 4.9875,
+      "mean_token_accuracy": 0.18508986830711366,
+      "num_tokens": 9540248.0,
+      "step": 5235
+    },
+    {
+      "entropy": 5.3083008289337155,
+      "epoch": 4.341342170671085,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035567256472535585,
+      "loss": 4.9192,
+      "mean_token_accuracy": 0.19538334757089615,
+      "num_tokens": 9549850.0,
+      "step": 5240
+    },
+    {
+      "entropy": 5.325525283813477,
+      "epoch": 4.345484672742336,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003553741737270566,
+      "loss": 4.9167,
+      "mean_token_accuracy": 0.19581695050001144,
+      "num_tokens": 9558929.0,
+      "step": 5245
+    },
+    {
+      "entropy": 5.291470670700074,
+      "epoch": 4.3496271748135875,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00035507562060526574,
+      "loss": 4.9163,
+      "mean_token_accuracy": 0.19085376411676408,
+      "num_tokens": 9567627.0,
+      "step": 5250
+    },
+    {
+      "entropy": 5.419774055480957,
+      "epoch": 4.353769676884839,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035477690596219763,
+      "loss": 5.0513,
+      "mean_token_accuracy": 0.18172826021909713,
+      "num_tokens": 9576223.0,
+      "step": 5255
+    },
+    {
+      "entropy": 5.422041416168213,
+      "epoch": 4.35791217895609,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00035447803040039225,
+      "loss": 5.0178,
+      "mean_token_accuracy": 0.1885324940085411,
+      "num_tokens": 9585510.0,
+      "step": 5260
+    },
+    {
+      "entropy": 5.344962453842163,
+      "epoch": 4.362054681027341,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003541789945227143,
+      "loss": 4.9361,
+      "mean_token_accuracy": 0.1920488640666008,
+      "num_tokens": 9594843.0,
+      "step": 5265
+    },
+    {
+      "entropy": 5.401527786254883,
+      "epoch": 4.366197183098592,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00035387979893235184,
+      "loss": 4.9467,
+      "mean_token_accuracy": 0.19816664457321168,
+      "num_tokens": 9604142.0,
+      "step": 5270
+    },
+    {
+      "entropy": 5.339557313919068,
+      "epoch": 4.370339685169842,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003535804442328151,
+      "loss": 4.994,
+      "mean_token_accuracy": 0.197935588657856,
+      "num_tokens": 9613669.0,
+      "step": 5275
+    },
+    {
+      "entropy": 5.395236444473267,
+      "epoch": 4.374482187241093,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00035328093102793506,
+      "loss": 4.9843,
+      "mean_token_accuracy": 0.19234263002872468,
+      "num_tokens": 9623502.0,
+      "step": 5280
+    },
+    {
+      "entropy": 5.377492380142212,
+      "epoch": 4.378624689312344,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035298125992186283,
+      "loss": 4.9784,
+      "mean_token_accuracy": 0.1910512089729309,
+      "num_tokens": 9632041.0,
+      "step": 5285
+    },
+    {
+      "entropy": 5.310422706604004,
+      "epoch": 4.3827671913835955,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00035268143151906764,
+      "loss": 4.9853,
+      "mean_token_accuracy": 0.18939480930566788,
+      "num_tokens": 9641442.0,
+      "step": 5290
+    },
+    {
+      "entropy": 5.356794643402099,
+      "epoch": 4.386909693454847,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00035238144642433616,
+      "loss": 4.956,
+      "mean_token_accuracy": 0.19045386761426925,
+      "num_tokens": 9650857.0,
+      "step": 5295
+    },
+    {
+      "entropy": 5.461606073379516,
+      "epoch": 4.391052195526098,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000352081305242771,
+      "loss": 4.9906,
+      "mean_token_accuracy": 0.1938766911625862,
+      "num_tokens": 9659173.0,
+      "step": 5300
+    },
+    {
+      "entropy": 5.355851411819458,
+      "epoch": 4.395194697597349,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035178100857978994,
+      "loss": 4.9344,
+      "mean_token_accuracy": 0.19574909955263137,
+      "num_tokens": 9668114.0,
+      "step": 5305
+    },
+    {
+      "entropy": 5.261717939376831,
+      "epoch": 4.3993371996686,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00035148055704112405,
+      "loss": 4.9927,
+      "mean_token_accuracy": 0.1930756837129593,
+      "num_tokens": 9676628.0,
+      "step": 5310
+    },
+    {
+      "entropy": 5.305881071090698,
+      "epoch": 4.403479701739851,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003511799512328168,
+      "loss": 4.8897,
+      "mean_token_accuracy": 0.19723279178142547,
+      "num_tokens": 9685801.0,
+      "step": 5315
+    },
+    {
+      "entropy": 5.3678816795349125,
+      "epoch": 4.407622203811102,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003508791917612232,
+      "loss": 4.9677,
+      "mean_token_accuracy": 0.18847441226243972,
+      "num_tokens": 9694237.0,
+      "step": 5320
+    },
+    {
+      "entropy": 5.357159948348999,
+      "epoch": 4.411764705882353,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00035057827923300785,
+      "loss": 4.887,
+      "mean_token_accuracy": 0.1993523895740509,
+      "num_tokens": 9701904.0,
+      "step": 5325
+    },
+    {
+      "entropy": 5.308569765090942,
+      "epoch": 4.415907207953604,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035027721425514414,
+      "loss": 4.8661,
+      "mean_token_accuracy": 0.20139306634664536,
+      "num_tokens": 9710784.0,
+      "step": 5330
+    },
+    {
+      "entropy": 5.310255718231201,
+      "epoch": 4.4200497100248555,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003499759974349131,
+      "loss": 4.9969,
+      "mean_token_accuracy": 0.19186950027942656,
+      "num_tokens": 9720452.0,
+      "step": 5335
+    },
+    {
+      "entropy": 5.335639381408692,
+      "epoch": 4.424192212096106,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00034967462937990194,
+      "loss": 4.9619,
+      "mean_token_accuracy": 0.18502581119537354,
+      "num_tokens": 9729122.0,
+      "step": 5340
+    },
+    {
+      "entropy": 5.414971780776978,
+      "epoch": 4.428334714167357,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000349373110698003,
+      "loss": 5.0216,
+      "mean_token_accuracy": 0.18420466929674148,
+      "num_tokens": 9738756.0,
+      "step": 5345
+    },
+    {
+      "entropy": 5.406450796127319,
+      "epoch": 4.432477216238608,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003490714419974124,
+      "loss": 5.0113,
+      "mean_token_accuracy": 0.1904602199792862,
+      "num_tokens": 9748547.0,
+      "step": 5350
+    },
+    {
+      "entropy": 5.358873558044434,
+      "epoch": 4.436619718309859,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034876962388662885,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.18162461519241332,
+      "num_tokens": 9758421.0,
+      "step": 5355
+    },
+    {
+      "entropy": 5.277571201324463,
+      "epoch": 4.44076222038111,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003484676569744525,
+      "loss": 4.8563,
+      "mean_token_accuracy": 0.19333565086126328,
+      "num_tokens": 9766855.0,
+      "step": 5360
+    },
+    {
+      "entropy": 5.348770189285278,
+      "epoch": 4.444904722452361,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003481655418699836,
+      "loss": 4.9589,
+      "mean_token_accuracy": 0.1960444375872612,
+      "num_tokens": 9776157.0,
+      "step": 5365
+    },
+    {
+      "entropy": 5.279411029815674,
+      "epoch": 4.449047224523612,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00034786327918262126,
+      "loss": 4.8489,
+      "mean_token_accuracy": 0.2087496116757393,
+      "num_tokens": 9784386.0,
+      "step": 5370
+    },
+    {
+      "entropy": 5.354473733901978,
+      "epoch": 4.4531897265948635,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00034756086952206255,
+      "loss": 4.9009,
+      "mean_token_accuracy": 0.1958460658788681,
+      "num_tokens": 9793838.0,
+      "step": 5375
+    },
+    {
+      "entropy": 5.353402185440063,
+      "epoch": 4.457332228666115,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003472583134983005,
+      "loss": 4.9971,
+      "mean_token_accuracy": 0.19221619367599488,
+      "num_tokens": 9802595.0,
+      "step": 5380
+    },
+    {
+      "entropy": 5.384884357452393,
+      "epoch": 4.461474730737366,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00034695561172162396,
+      "loss": 4.9775,
+      "mean_token_accuracy": 0.19024742841720582,
+      "num_tokens": 9811309.0,
+      "step": 5385
+    },
+    {
+      "entropy": 5.2829090595245365,
+      "epoch": 4.465617232808617,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00034665276480261526,
+      "loss": 4.9139,
+      "mean_token_accuracy": 0.1915873184800148,
+      "num_tokens": 9820327.0,
+      "step": 5390
+    },
+    {
+      "entropy": 5.351649951934815,
+      "epoch": 4.469759734879867,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003463497733521499,
+      "loss": 4.9852,
+      "mean_token_accuracy": 0.18354866653680801,
+      "num_tokens": 9829588.0,
+      "step": 5395
+    },
+    {
+      "entropy": 5.42580213546753,
+      "epoch": 4.473902236951118,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003460466379813947,
+      "loss": 4.9887,
+      "mean_token_accuracy": 0.18973219394683838,
+      "num_tokens": 9838548.0,
+      "step": 5400
+    },
+    {
+      "entropy": 5.335280847549439,
+      "epoch": 4.478044739022369,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003457433593018068,
+      "loss": 5.0018,
+      "mean_token_accuracy": 0.18838239908218385,
+      "num_tokens": 9847925.0,
+      "step": 5405
+    },
+    {
+      "entropy": 5.396121597290039,
+      "epoch": 4.48218724109362,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034543993792513243,
+      "loss": 5.0169,
+      "mean_token_accuracy": 0.18753209412097932,
+      "num_tokens": 9856839.0,
+      "step": 5410
+    },
+    {
+      "entropy": 5.37349534034729,
+      "epoch": 4.486329743164871,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003451363744634057,
+      "loss": 4.978,
+      "mean_token_accuracy": 0.19382779747247697,
+      "num_tokens": 9866519.0,
+      "step": 5415
+    },
+    {
+      "entropy": 5.430073976516724,
+      "epoch": 4.4904722452361225,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00034483266952894725,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.19110478311777115,
+      "num_tokens": 9876866.0,
+      "step": 5420
+    },
+    {
+      "entropy": 5.440963220596314,
+      "epoch": 4.494614747307374,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0003445288237343632,
+      "loss": 5.0042,
+      "mean_token_accuracy": 0.1870105817914009,
+      "num_tokens": 9884639.0,
+      "step": 5425
+    },
+    {
+      "entropy": 5.332541465759277,
+      "epoch": 4.498757249378625,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003442248376925436,
+      "loss": 4.9715,
+      "mean_token_accuracy": 0.1879585549235344,
+      "num_tokens": 9893819.0,
+      "step": 5430
+    },
+    {
+      "entropy": 5.251445341110229,
+      "epoch": 4.502899751449876,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00034392071201666167,
+      "loss": 4.9164,
+      "mean_token_accuracy": 0.19130610078573226,
+      "num_tokens": 9902419.0,
+      "step": 5435
+    },
+    {
+      "entropy": 5.390727472305298,
+      "epoch": 4.507042253521127,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000343616447320172,
+      "loss": 4.9565,
+      "mean_token_accuracy": 0.19780462980270386,
+      "num_tokens": 9912434.0,
+      "step": 5440
+    },
+    {
+      "entropy": 5.366470289230347,
+      "epoch": 4.511184755592378,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003433120442168097,
+      "loss": 4.9114,
+      "mean_token_accuracy": 0.193550705909729,
+      "num_tokens": 9921800.0,
+      "step": 5445
+    },
+    {
+      "entropy": 5.316132354736328,
+      "epoch": 4.515327257663629,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034300750332058924,
+      "loss": 4.9803,
+      "mean_token_accuracy": 0.18861733824014665,
+      "num_tokens": 9930863.0,
+      "step": 5450
+    },
+    {
+      "entropy": 5.340768337249756,
+      "epoch": 4.51946975973488,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003427028252458028,
+      "loss": 4.995,
+      "mean_token_accuracy": 0.1959969326853752,
+      "num_tokens": 9940524.0,
+      "step": 5455
+    },
+    {
+      "entropy": 5.398335361480713,
+      "epoch": 4.5236122618061305,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.0003423980106070194,
+      "loss": 4.98,
+      "mean_token_accuracy": 0.18993111699819565,
+      "num_tokens": 9948949.0,
+      "step": 5460
+    },
+    {
+      "entropy": 5.363409519195557,
+      "epoch": 4.527754763877382,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003420930600190834,
+      "loss": 5.0007,
+      "mean_token_accuracy": 0.18487946093082427,
+      "num_tokens": 9958154.0,
+      "step": 5465
+    },
+    {
+      "entropy": 5.353360748291015,
+      "epoch": 4.531897265948633,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003417879740971135,
+      "loss": 4.8917,
+      "mean_token_accuracy": 0.19643958359956742,
+      "num_tokens": 9967023.0,
+      "step": 5470
+    },
+    {
+      "entropy": 5.392623519897461,
+      "epoch": 4.536039768019884,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003414827534565014,
+      "loss": 4.9908,
+      "mean_token_accuracy": 0.18982938379049302,
+      "num_tokens": 9976596.0,
+      "step": 5475
+    },
+    {
+      "entropy": 5.358148193359375,
+      "epoch": 4.540182270091135,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00034117739871291036,
+      "loss": 4.8992,
+      "mean_token_accuracy": 0.19934887886047364,
+      "num_tokens": 9985330.0,
+      "step": 5480
+    },
+    {
+      "entropy": 5.35659613609314,
+      "epoch": 4.544324772162386,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00034087191048227445,
+      "loss": 5.032,
+      "mean_token_accuracy": 0.1861831620335579,
+      "num_tokens": 9996053.0,
+      "step": 5485
+    },
+    {
+      "entropy": 5.335864496231079,
+      "epoch": 4.548467274233637,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003405662893807967,
+      "loss": 4.9445,
+      "mean_token_accuracy": 0.1877502605319023,
+      "num_tokens": 10005517.0,
+      "step": 5490
+    },
+    {
+      "entropy": 5.389253044128418,
+      "epoch": 4.552609776304888,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003402605360249482,
+      "loss": 5.0416,
+      "mean_token_accuracy": 0.18830080330371857,
+      "num_tokens": 10014354.0,
+      "step": 5495
+    },
+    {
+      "entropy": 5.3128773212432865,
+      "epoch": 4.556752278376139,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000339954651031467,
+      "loss": 4.9238,
+      "mean_token_accuracy": 0.19178629368543626,
+      "num_tokens": 10023194.0,
+      "step": 5500
+    },
+    {
+      "epoch": 4.556752278376139,
+      "eval_entropy": 5.195640559898003,
+      "eval_loss": 5.80400276184082,
+      "eval_mean_token_accuracy": 0.15982486544323882,
+      "eval_num_tokens": 10023194.0,
+      "eval_runtime": 2.7416,
+      "eval_samples_per_second": 1366.696,
+      "eval_steps_per_second": 171.065,
+      "step": 5500
+    },
+    {
+      "entropy": 5.267048501968384,
+      "epoch": 4.5608947804473905,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00033964863501735647,
+      "loss": 4.9188,
+      "mean_token_accuracy": 0.19228280782699586,
+      "num_tokens": 10032490.0,
+      "step": 5505
+    },
+    {
+      "entropy": 5.392655229568481,
+      "epoch": 4.565037282518642,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00033934248859988453,
+      "loss": 4.9346,
+      "mean_token_accuracy": 0.19580908715724946,
+      "num_tokens": 10041613.0,
+      "step": 5510
+    },
+    {
+      "entropy": 5.262086534500122,
+      "epoch": 4.569179784589892,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003390362123965817,
+      "loss": 4.8733,
+      "mean_token_accuracy": 0.1911102056503296,
+      "num_tokens": 10050500.0,
+      "step": 5515
+    },
+    {
+      "entropy": 5.36342945098877,
+      "epoch": 4.573322286661144,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003387298070252407,
+      "loss": 4.9492,
+      "mean_token_accuracy": 0.1935834139585495,
+      "num_tokens": 10059650.0,
+      "step": 5520
+    },
+    {
+      "entropy": 5.337366104125977,
+      "epoch": 4.577464788732394,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003384232731039146,
+      "loss": 4.9844,
+      "mean_token_accuracy": 0.19709572941064835,
+      "num_tokens": 10067882.0,
+      "step": 5525
+    },
+    {
+      "entropy": 5.300627326965332,
+      "epoch": 4.581607290803645,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00033811661125091584,
+      "loss": 4.9253,
+      "mean_token_accuracy": 0.19670316576957703,
+      "num_tokens": 10077147.0,
+      "step": 5530
+    },
+    {
+      "entropy": 5.369974613189697,
+      "epoch": 4.585749792874896,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00033780982208481494,
+      "loss": 4.9829,
+      "mean_token_accuracy": 0.1897311642765999,
+      "num_tokens": 10086149.0,
+      "step": 5535
+    },
+    {
+      "entropy": 5.303711175918579,
+      "epoch": 4.589892294946147,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003375029062244392,
+      "loss": 4.9027,
+      "mean_token_accuracy": 0.20062701553106307,
+      "num_tokens": 10094997.0,
+      "step": 5540
+    },
+    {
+      "entropy": 5.461194086074829,
+      "epoch": 4.5940347970173985,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00033719586428887125,
+      "loss": 4.9635,
+      "mean_token_accuracy": 0.19236611425876618,
+      "num_tokens": 10103585.0,
+      "step": 5545
+    },
+    {
+      "entropy": 5.276572418212891,
+      "epoch": 4.59817729908865,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00033688869689744836,
+      "loss": 4.8715,
+      "mean_token_accuracy": 0.1956779330968857,
+      "num_tokens": 10113877.0,
+      "step": 5550
+    },
+    {
+      "entropy": 5.333914184570313,
+      "epoch": 4.602319801159901,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003365814046697608,
+      "loss": 4.9676,
+      "mean_token_accuracy": 0.1832288920879364,
+      "num_tokens": 10123127.0,
+      "step": 5555
+    },
+    {
+      "entropy": 5.39079098701477,
+      "epoch": 4.606462303231152,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003362739882256504,
+      "loss": 5.0347,
+      "mean_token_accuracy": 0.186669659614563,
+      "num_tokens": 10132301.0,
+      "step": 5560
+    },
+    {
+      "entropy": 5.369095230102539,
+      "epoch": 4.610604805302403,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0003359664481852099,
+      "loss": 5.0411,
+      "mean_token_accuracy": 0.18307175636291503,
+      "num_tokens": 10140985.0,
+      "step": 5565
+    },
+    {
+      "entropy": 5.309534072875977,
+      "epoch": 4.614747307373654,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00033565878516878103,
+      "loss": 4.9435,
+      "mean_token_accuracy": 0.186006298661232,
+      "num_tokens": 10149668.0,
+      "step": 5570
+    },
+    {
+      "entropy": 5.324404716491699,
+      "epoch": 4.618889809444905,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0003353509997969537,
+      "loss": 4.9982,
+      "mean_token_accuracy": 0.1883559986948967,
+      "num_tokens": 10158584.0,
+      "step": 5575
+    },
+    {
+      "entropy": 5.366722822189331,
+      "epoch": 4.623032311516155,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00033504309269056484,
+      "loss": 4.968,
+      "mean_token_accuracy": 0.19045166224241256,
+      "num_tokens": 10167657.0,
+      "step": 5580
+    },
+    {
+      "entropy": 5.274179601669312,
+      "epoch": 4.6271748135874065,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003347350644706965,
+      "loss": 4.8462,
+      "mean_token_accuracy": 0.1975993499159813,
+      "num_tokens": 10176657.0,
+      "step": 5585
+    },
+    {
+      "entropy": 5.3866353034973145,
+      "epoch": 4.631317315658658,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003344269157586754,
+      "loss": 4.9669,
+      "mean_token_accuracy": 0.19621438384056092,
+      "num_tokens": 10185132.0,
+      "step": 5590
+    },
+    {
+      "entropy": 5.304204607009888,
+      "epoch": 4.635459817729909,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00033411864717607114,
+      "loss": 4.8497,
+      "mean_token_accuracy": 0.19386404007673264,
+      "num_tokens": 10193428.0,
+      "step": 5595
+    },
+    {
+      "entropy": 5.324200677871704,
+      "epoch": 4.63960231980116,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0003338102593446951,
+      "loss": 5.0163,
+      "mean_token_accuracy": 0.18838184028863908,
+      "num_tokens": 10202549.0,
+      "step": 5600
+    },
+    {
+      "entropy": 5.341615533828735,
+      "epoch": 4.643744821872411,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00033350175288659925,
+      "loss": 4.8885,
+      "mean_token_accuracy": 0.1946927636861801,
+      "num_tokens": 10211161.0,
+      "step": 5605
+    },
+    {
+      "entropy": 5.309947538375854,
+      "epoch": 4.647887323943662,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00033319312842407483,
+      "loss": 4.9923,
+      "mean_token_accuracy": 0.18832400739192962,
+      "num_tokens": 10220988.0,
+      "step": 5610
+    },
+    {
+      "entropy": 5.2807288646698,
+      "epoch": 4.652029826014913,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003328843865796511,
+      "loss": 4.8873,
+      "mean_token_accuracy": 0.19748056083917617,
+      "num_tokens": 10229383.0,
+      "step": 5615
+    },
+    {
+      "entropy": 5.421126461029052,
+      "epoch": 4.656172328086164,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033257552797609426,
+      "loss": 4.9686,
+      "mean_token_accuracy": 0.18525946289300918,
+      "num_tokens": 10238622.0,
+      "step": 5620
+    },
+    {
+      "entropy": 5.506065034866333,
+      "epoch": 4.660314830157415,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00033226655323640553,
+      "loss": 5.0677,
+      "mean_token_accuracy": 0.18611674308776854,
+      "num_tokens": 10248201.0,
+      "step": 5625
+    },
+    {
+      "entropy": 5.445924186706543,
+      "epoch": 4.664457332228666,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000331957462983821,
+      "loss": 5.0837,
+      "mean_token_accuracy": 0.17612475752830506,
+      "num_tokens": 10258239.0,
+      "step": 5630
+    },
+    {
+      "entropy": 5.377671623229981,
+      "epoch": 4.668599834299917,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0003316482578418094,
+      "loss": 4.9675,
+      "mean_token_accuracy": 0.1935265153646469,
+      "num_tokens": 10266915.0,
+      "step": 5635
+    },
+    {
+      "entropy": 5.348722076416015,
+      "epoch": 4.672742336371169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00033133893843407126,
+      "loss": 5.0783,
+      "mean_token_accuracy": 0.18859633952379226,
+      "num_tokens": 10276826.0,
+      "step": 5640
+    },
+    {
+      "entropy": 5.327623510360718,
+      "epoch": 4.676884838442419,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00033102950538453776,
+      "loss": 4.9912,
+      "mean_token_accuracy": 0.19163501411676406,
+      "num_tokens": 10286041.0,
+      "step": 5645
+    },
+    {
+      "entropy": 5.367205619812012,
+      "epoch": 4.68102734051367,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00033071995931736897,
+      "loss": 5.0151,
+      "mean_token_accuracy": 0.19023409783840178,
+      "num_tokens": 10295258.0,
+      "step": 5650
+    },
+    {
+      "entropy": 5.404719638824463,
+      "epoch": 4.685169842584921,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00033041030085695323,
+      "loss": 4.9423,
+      "mean_token_accuracy": 0.19237637221813203,
+      "num_tokens": 10304726.0,
+      "step": 5655
+    },
+    {
+      "entropy": 5.34141435623169,
+      "epoch": 4.689312344656172,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003301005306279055,
+      "loss": 4.8745,
+      "mean_token_accuracy": 0.2018929526209831,
+      "num_tokens": 10312912.0,
+      "step": 5660
+    },
+    {
+      "entropy": 5.300086307525635,
+      "epoch": 4.693454846727423,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00032979064925506627,
+      "loss": 4.9743,
+      "mean_token_accuracy": 0.18896473944187164,
+      "num_tokens": 10322046.0,
+      "step": 5665
+    },
+    {
+      "entropy": 5.290521335601807,
+      "epoch": 4.697597348798674,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003294806573634999,
+      "loss": 4.9263,
+      "mean_token_accuracy": 0.206088125705719,
+      "num_tokens": 10331375.0,
+      "step": 5670
+    },
+    {
+      "entropy": 5.353716802597046,
+      "epoch": 4.7017398508699255,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003291705555784942,
+      "loss": 5.0624,
+      "mean_token_accuracy": 0.18850265592336654,
+      "num_tokens": 10341465.0,
+      "step": 5675
+    },
+    {
+      "entropy": 5.466339874267578,
+      "epoch": 4.705882352941177,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00032886034452555814,
+      "loss": 5.052,
+      "mean_token_accuracy": 0.18991907685995102,
+      "num_tokens": 10350137.0,
+      "step": 5680
+    },
+    {
+      "entropy": 5.3118266582489015,
+      "epoch": 4.710024855012428,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003285500248304214,
+      "loss": 4.9502,
+      "mean_token_accuracy": 0.1877942368388176,
+      "num_tokens": 10358666.0,
+      "step": 5685
+    },
+    {
+      "entropy": 5.319189500808716,
+      "epoch": 4.714167357083679,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003282395971190328,
+      "loss": 4.8375,
+      "mean_token_accuracy": 0.19829211980104447,
+      "num_tokens": 10366910.0,
+      "step": 5690
+    },
+    {
+      "entropy": 5.377291250228882,
+      "epoch": 4.71830985915493,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032792906201755876,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19080002307891847,
+      "num_tokens": 10376435.0,
+      "step": 5695
+    },
+    {
+      "entropy": 5.293179368972778,
+      "epoch": 4.72245236122618,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00032761842015238256,
+      "loss": 4.8965,
+      "mean_token_accuracy": 0.2024861231446266,
+      "num_tokens": 10384670.0,
+      "step": 5700
+    },
+    {
+      "entropy": 5.261117172241211,
+      "epoch": 4.726594863297431,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003273076721501029,
+      "loss": 4.8845,
+      "mean_token_accuracy": 0.1939824104309082,
+      "num_tokens": 10393731.0,
+      "step": 5705
+    },
+    {
+      "entropy": 5.386179351806641,
+      "epoch": 4.730737365368682,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003269968186375325,
+      "loss": 4.9916,
+      "mean_token_accuracy": 0.19829274713993073,
+      "num_tokens": 10402369.0,
+      "step": 5710
+    },
+    {
+      "entropy": 5.379951667785645,
+      "epoch": 4.7348798674399335,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003266858602416967,
+      "loss": 4.9801,
+      "mean_token_accuracy": 0.1936841771006584,
+      "num_tokens": 10411566.0,
+      "step": 5715
+    },
+    {
+      "entropy": 5.384341192245484,
+      "epoch": 4.739022369511185,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032637479758983255,
+      "loss": 5.0294,
+      "mean_token_accuracy": 0.18491634279489516,
+      "num_tokens": 10420086.0,
+      "step": 5720
+    },
+    {
+      "entropy": 5.409085655212403,
+      "epoch": 4.743164871582436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00032606363130938766,
+      "loss": 5.0704,
+      "mean_token_accuracy": 0.18897949457168578,
+      "num_tokens": 10429746.0,
+      "step": 5725
+    },
+    {
+      "entropy": 5.349277639389038,
+      "epoch": 4.747307373653687,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0003257523620280181,
+      "loss": 4.9498,
+      "mean_token_accuracy": 0.19129680693149567,
+      "num_tokens": 10438536.0,
+      "step": 5730
+    },
+    {
+      "entropy": 5.348873805999756,
+      "epoch": 4.751449875724938,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00032544099037358834,
+      "loss": 4.9497,
+      "mean_token_accuracy": 0.19692206382751465,
+      "num_tokens": 10447471.0,
+      "step": 5735
+    },
+    {
+      "entropy": 5.33362455368042,
+      "epoch": 4.755592377796189,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003251295169741688,
+      "loss": 4.962,
+      "mean_token_accuracy": 0.1995266228914261,
+      "num_tokens": 10457179.0,
+      "step": 5740
+    },
+    {
+      "entropy": 5.327010250091552,
+      "epoch": 4.75973487986744,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00032481794245803536,
+      "loss": 5.0295,
+      "mean_token_accuracy": 0.18461760133504868,
+      "num_tokens": 10466291.0,
+      "step": 5745
+    },
+    {
+      "entropy": 5.323912620544434,
+      "epoch": 4.763877381938691,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00032450626745366806,
+      "loss": 4.9102,
+      "mean_token_accuracy": 0.19402227252721788,
+      "num_tokens": 10475452.0,
+      "step": 5750
+    },
+    {
+      "entropy": 5.306818199157715,
+      "epoch": 4.768019884009942,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00032419449258974924,
+      "loss": 4.8753,
+      "mean_token_accuracy": 0.20045212656259537,
+      "num_tokens": 10484381.0,
+      "step": 5755
+    },
+    {
+      "entropy": 5.342190933227539,
+      "epoch": 4.7721623860811935,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000323882618495163,
+      "loss": 5.0665,
+      "mean_token_accuracy": 0.1831491023302078,
+      "num_tokens": 10495132.0,
+      "step": 5760
+    },
+    {
+      "entropy": 5.351349258422852,
+      "epoch": 4.776304888152444,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003235706457989934,
+      "loss": 5.0246,
+      "mean_token_accuracy": 0.1850237250328064,
+      "num_tokens": 10504519.0,
+      "step": 5765
+    },
+    {
+      "entropy": 5.387107896804809,
+      "epoch": 4.780447390223695,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032325857513052354,
+      "loss": 4.9654,
+      "mean_token_accuracy": 0.19212980419397355,
+      "num_tokens": 10513575.0,
+      "step": 5770
+    },
+    {
+      "entropy": 5.396086692810059,
+      "epoch": 4.784589892294946,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000322946407119234,
+      "loss": 5.0554,
+      "mean_token_accuracy": 0.18998173326253892,
+      "num_tokens": 10522148.0,
+      "step": 5775
+    },
+    {
+      "entropy": 5.361077404022216,
+      "epoch": 4.788732394366197,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032263414239480187,
+      "loss": 4.9891,
+      "mean_token_accuracy": 0.18589809089899062,
+      "num_tokens": 10531183.0,
+      "step": 5780
+    },
+    {
+      "entropy": 5.342947483062744,
+      "epoch": 4.792874896437448,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.000322321781587099,
+      "loss": 4.9298,
+      "mean_token_accuracy": 0.19391343146562576,
+      "num_tokens": 10540677.0,
+      "step": 5785
+    },
+    {
+      "entropy": 5.276329088211059,
+      "epoch": 4.797017398508699,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003220093253261915,
+      "loss": 4.9342,
+      "mean_token_accuracy": 0.18589555770158767,
+      "num_tokens": 10550009.0,
+      "step": 5790
+    },
+    {
+      "entropy": 5.315787076950073,
+      "epoch": 4.80115990057995,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003216967742423377,
+      "loss": 4.9621,
+      "mean_token_accuracy": 0.19312297254800798,
+      "num_tokens": 10559694.0,
+      "step": 5795
+    },
+    {
+      "entropy": 5.339448022842407,
+      "epoch": 4.8053024026512015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003213841289659872,
+      "loss": 4.9613,
+      "mean_token_accuracy": 0.20080769211053848,
+      "num_tokens": 10567965.0,
+      "step": 5800
+    },
+    {
+      "entropy": 5.312955284118653,
+      "epoch": 4.809444904722453,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003210713901277799,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.19690640568733214,
+      "num_tokens": 10577653.0,
+      "step": 5805
+    },
+    {
+      "entropy": 5.359428977966308,
+      "epoch": 4.813587406793704,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000320758558358544,
+      "loss": 4.9728,
+      "mean_token_accuracy": 0.18951950818300248,
+      "num_tokens": 10586903.0,
+      "step": 5810
+    },
+    {
+      "entropy": 5.302858638763428,
+      "epoch": 4.817729908864955,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003204456342892955,
+      "loss": 4.8829,
+      "mean_token_accuracy": 0.19500194638967513,
+      "num_tokens": 10595411.0,
+      "step": 5815
+    },
+    {
+      "entropy": 5.321697616577149,
+      "epoch": 4.821872410936205,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00032013261855123637,
+      "loss": 4.9475,
+      "mean_token_accuracy": 0.1907385230064392,
+      "num_tokens": 10604147.0,
+      "step": 5820
+    },
+    {
+      "entropy": 5.368891286849975,
+      "epoch": 4.826014913007457,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00031981951177575366,
+      "loss": 5.0445,
+      "mean_token_accuracy": 0.1850367307662964,
+      "num_tokens": 10614048.0,
+      "step": 5825
+    },
+    {
+      "entropy": 5.374803781509399,
+      "epoch": 4.830157415078707,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003195063145944178,
+      "loss": 5.0779,
+      "mean_token_accuracy": 0.18388603180646895,
+      "num_tokens": 10623399.0,
+      "step": 5830
+    },
+    {
+      "entropy": 5.389354228973389,
+      "epoch": 4.834299917149958,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003191930276389819,
+      "loss": 4.9183,
+      "mean_token_accuracy": 0.19506800919771194,
+      "num_tokens": 10632627.0,
+      "step": 5835
+    },
+    {
+      "entropy": 5.401239061355591,
+      "epoch": 4.838442419221209,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00031887965154137987,
+      "loss": 4.9726,
+      "mean_token_accuracy": 0.1816769301891327,
+      "num_tokens": 10641155.0,
+      "step": 5840
+    },
+    {
+      "entropy": 5.354168939590454,
+      "epoch": 4.8425849212924605,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003185661869337255,
+      "loss": 5.0118,
+      "mean_token_accuracy": 0.18452974855899812,
+      "num_tokens": 10649661.0,
+      "step": 5845
+    },
+    {
+      "entropy": 5.265790605545044,
+      "epoch": 4.846727423363712,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00031825263444831137,
+      "loss": 4.9151,
+      "mean_token_accuracy": 0.19235364347696304,
+      "num_tokens": 10658652.0,
+      "step": 5850
+    },
+    {
+      "entropy": 5.3790277481079105,
+      "epoch": 4.850869925434963,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003179389947176069,
+      "loss": 5.0445,
+      "mean_token_accuracy": 0.1886226385831833,
+      "num_tokens": 10668703.0,
+      "step": 5855
+    },
+    {
+      "entropy": 5.385872554779053,
+      "epoch": 4.855012427506214,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003176252683742578,
+      "loss": 4.9484,
+      "mean_token_accuracy": 0.19056980460882186,
+      "num_tokens": 10677740.0,
+      "step": 5860
+    },
+    {
+      "entropy": 5.347926044464112,
+      "epoch": 4.859154929577465,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003173114560510843,
+      "loss": 4.9447,
+      "mean_token_accuracy": 0.18929830342531204,
+      "num_tokens": 10686429.0,
+      "step": 5865
+    },
+    {
+      "entropy": 5.332098054885864,
+      "epoch": 4.863297431648716,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00031699755838108027,
+      "loss": 5.0442,
+      "mean_token_accuracy": 0.1941297546029091,
+      "num_tokens": 10696367.0,
+      "step": 5870
+    },
+    {
+      "entropy": 5.310936546325683,
+      "epoch": 4.867439933719967,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003166835759974115,
+      "loss": 4.9902,
+      "mean_token_accuracy": 0.1873769447207451,
+      "num_tokens": 10705712.0,
+      "step": 5875
+    },
+    {
+      "entropy": 5.371630382537842,
+      "epoch": 4.871582435791218,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031636950953341486,
+      "loss": 5.0345,
+      "mean_token_accuracy": 0.18638068735599517,
+      "num_tokens": 10715897.0,
+      "step": 5880
+    },
+    {
+      "entropy": 5.3334348678588865,
+      "epoch": 4.8757249378624685,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00031605535962259666,
+      "loss": 4.9268,
+      "mean_token_accuracy": 0.1887778237462044,
+      "num_tokens": 10724810.0,
+      "step": 5885
+    },
+    {
+      "entropy": 5.353308916091919,
+      "epoch": 4.87986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003157411268986316,
+      "loss": 4.9771,
+      "mean_token_accuracy": 0.1932398796081543,
+      "num_tokens": 10734661.0,
+      "step": 5890
+    },
+    {
+      "entropy": 5.287876415252685,
+      "epoch": 4.884009942004971,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003154268119953615,
+      "loss": 4.9586,
+      "mean_token_accuracy": 0.19356854259967804,
+      "num_tokens": 10743642.0,
+      "step": 5895
+    },
+    {
+      "entropy": 5.344345998764038,
+      "epoch": 4.888152444076222,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003151124155467938,
+      "loss": 4.9607,
+      "mean_token_accuracy": 0.19625648856163025,
+      "num_tokens": 10752812.0,
+      "step": 5900
+    },
+    {
+      "entropy": 5.3407337188720705,
+      "epoch": 4.892294946147473,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00031479793818710056,
+      "loss": 4.9983,
+      "mean_token_accuracy": 0.18306475579738618,
+      "num_tokens": 10762117.0,
+      "step": 5905
+    },
+    {
+      "entropy": 5.299752902984619,
+      "epoch": 4.896437448218724,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031448338055061685,
+      "loss": 4.9018,
+      "mean_token_accuracy": 0.19901909530162812,
+      "num_tokens": 10771515.0,
+      "step": 5910
+    },
+    {
+      "entropy": 5.309285831451416,
+      "epoch": 4.900579950289975,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00031416874327183994,
+      "loss": 4.9486,
+      "mean_token_accuracy": 0.19302618503570557,
+      "num_tokens": 10780610.0,
+      "step": 5915
+    },
+    {
+      "entropy": 5.22410569190979,
+      "epoch": 4.904722452361226,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031385402698542753,
+      "loss": 4.9151,
+      "mean_token_accuracy": 0.19276074767112733,
+      "num_tokens": 10789169.0,
+      "step": 5920
+    },
+    {
+      "entropy": 5.30161485671997,
+      "epoch": 4.908864954432477,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031353923232619674,
+      "loss": 4.9078,
+      "mean_token_accuracy": 0.19779694378376006,
+      "num_tokens": 10798636.0,
+      "step": 5925
+    },
+    {
+      "entropy": 5.3571271896362305,
+      "epoch": 4.9130074565037285,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003132243599291229,
+      "loss": 4.9753,
+      "mean_token_accuracy": 0.19644105434417725,
+      "num_tokens": 10808245.0,
+      "step": 5930
+    },
+    {
+      "entropy": 5.384200191497802,
+      "epoch": 4.91714995857498,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00031290941042933797,
+      "loss": 4.9679,
+      "mean_token_accuracy": 0.18787674605846405,
+      "num_tokens": 10817164.0,
+      "step": 5935
+    },
+    {
+      "entropy": 5.287544202804566,
+      "epoch": 4.92129246064623,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031259438446212953,
+      "loss": 5.0007,
+      "mean_token_accuracy": 0.18373542726039888,
+      "num_tokens": 10826098.0,
+      "step": 5940
+    },
+    {
+      "entropy": 5.33493857383728,
+      "epoch": 4.925434962717482,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00031227928266293933,
+      "loss": 5.0115,
+      "mean_token_accuracy": 0.18100205808877945,
+      "num_tokens": 10836427.0,
+      "step": 5945
+    },
+    {
+      "entropy": 5.345344829559326,
+      "epoch": 4.929577464788732,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00031196410566736215,
+      "loss": 4.9689,
+      "mean_token_accuracy": 0.19277302771806717,
+      "num_tokens": 10845804.0,
+      "step": 5950
+    },
+    {
+      "entropy": 5.3519449710845945,
+      "epoch": 4.933719966859983,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00031164885411114453,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.1908810630440712,
+      "num_tokens": 10855951.0,
+      "step": 5955
+    },
+    {
+      "entropy": 5.301464605331421,
+      "epoch": 4.937862468931234,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031133352863018315,
+      "loss": 5.079,
+      "mean_token_accuracy": 0.18923453092575074,
+      "num_tokens": 10865528.0,
+      "step": 5960
+    },
+    {
+      "entropy": 5.369193601608276,
+      "epoch": 4.942004971002485,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00031101812986052406,
+      "loss": 4.9936,
+      "mean_token_accuracy": 0.19839225262403487,
+      "num_tokens": 10874365.0,
+      "step": 5965
+    },
+    {
+      "entropy": 5.310976552963257,
+      "epoch": 4.9461474730737365,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00031070265843836107,
+      "loss": 4.9184,
+      "mean_token_accuracy": 0.1972976267337799,
+      "num_tokens": 10883034.0,
+      "step": 5970
+    },
+    {
+      "entropy": 5.323369884490967,
+      "epoch": 4.950289975144988,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003103871150000345,
+      "loss": 4.9768,
+      "mean_token_accuracy": 0.1961338758468628,
+      "num_tokens": 10892307.0,
+      "step": 5975
+    },
+    {
+      "entropy": 5.354686069488525,
+      "epoch": 4.954432477216239,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00031007150018202983,
+      "loss": 5.057,
+      "mean_token_accuracy": 0.18536237627267838,
+      "num_tokens": 10902074.0,
+      "step": 5980
+    },
+    {
+      "entropy": 5.372721862792969,
+      "epoch": 4.95857497928749,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00030975581462097673,
+      "loss": 4.8961,
+      "mean_token_accuracy": 0.19350670725107194,
+      "num_tokens": 10911205.0,
+      "step": 5985
+    },
+    {
+      "entropy": 5.278085422515869,
+      "epoch": 4.962717481358741,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00030944005895364754,
+      "loss": 4.9233,
+      "mean_token_accuracy": 0.19045489132404328,
+      "num_tokens": 10920371.0,
+      "step": 5990
+    },
+    {
+      "entropy": 5.219862222671509,
+      "epoch": 4.966859983429992,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00030912423381695584,
+      "loss": 4.9124,
+      "mean_token_accuracy": 0.20015972554683686,
+      "num_tokens": 10928741.0,
+      "step": 5995
+    },
+    {
+      "entropy": 5.3216063499450685,
+      "epoch": 4.971002485501243,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00030880833984795554,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.20140086114406586,
+      "num_tokens": 10938074.0,
+      "step": 6000
+    },
+    {
+      "epoch": 4.971002485501243,
+      "eval_entropy": 5.223882782942196,
+      "eval_loss": 5.772702217102051,
+      "eval_mean_token_accuracy": 0.16291698060437307,
+      "eval_num_tokens": 10938074.0,
+      "eval_runtime": 2.7438,
+      "eval_samples_per_second": 1365.624,
+      "eval_steps_per_second": 170.931,
+      "step": 6000
+    },
+    {
+      "entropy": 5.304221105575562,
+      "epoch": 4.975144987572493,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0003084923776838392,
+      "loss": 4.9428,
+      "mean_token_accuracy": 0.1906152918934822,
+      "num_tokens": 10946756.0,
+      "step": 6005
+    },
+    {
+      "entropy": 5.28564419746399,
+      "epoch": 4.9792874896437445,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00030817634796193705,
+      "loss": 4.9192,
+      "mean_token_accuracy": 0.19711493700742722,
+      "num_tokens": 10956313.0,
+      "step": 6010
+    },
+    {
+      "entropy": 5.420253419876099,
+      "epoch": 4.983429991714996,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00030786025131971555,
+      "loss": 4.9823,
+      "mean_token_accuracy": 0.19457563310861586,
+      "num_tokens": 10964333.0,
+      "step": 6015
+    },
+    {
+      "entropy": 5.329161500930786,
+      "epoch": 4.987572493786247,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003075440883947764,
+      "loss": 4.8999,
+      "mean_token_accuracy": 0.19664130955934525,
+      "num_tokens": 10974110.0,
+      "step": 6020
+    },
+    {
+      "entropy": 5.248602771759034,
+      "epoch": 4.991714995857498,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003072278598248544,
+      "loss": 4.9529,
+      "mean_token_accuracy": 0.19656815081834794,
+      "num_tokens": 10983186.0,
+      "step": 6025
+    },
+    {
+      "entropy": 5.307998704910278,
+      "epoch": 4.995857497928749,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00030691156624781734,
+      "loss": 4.9377,
+      "mean_token_accuracy": 0.19932860583066941,
+      "num_tokens": 10992244.0,
+      "step": 6030
+    },
+    {
+      "entropy": 5.353039836883545,
+      "epoch": 5.0,
+      "grad_norm": 1.8515625,
+      "learning_rate": 0.000306595208301664,
+      "loss": 4.927,
+      "mean_token_accuracy": 0.20540354549884796,
+      "num_tokens": 11000005.0,
+      "step": 6035
+    },
+    {
+      "entropy": 5.336960649490356,
+      "epoch": 5.004142502071251,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00030627878662452273,
+      "loss": 4.7717,
+      "mean_token_accuracy": 0.20522954761981965,
+      "num_tokens": 11009346.0,
+      "step": 6040
+    },
+    {
+      "entropy": 5.356115531921387,
+      "epoch": 5.008285004142502,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003059623018546508,
+      "loss": 4.7197,
+      "mean_token_accuracy": 0.2092713624238968,
+      "num_tokens": 11017844.0,
+      "step": 6045
+    },
+    {
+      "entropy": 5.362998294830322,
+      "epoch": 5.012427506213753,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003056457546304326,
+      "loss": 4.7531,
+      "mean_token_accuracy": 0.21363187432289124,
+      "num_tokens": 11026840.0,
+      "step": 6050
+    },
+    {
+      "entropy": 5.250718975067139,
+      "epoch": 5.016570008285004,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003053291455903782,
+      "loss": 4.7186,
+      "mean_token_accuracy": 0.2076275572180748,
+      "num_tokens": 11034906.0,
+      "step": 6055
+    },
+    {
+      "entropy": 5.263190746307373,
+      "epoch": 5.0207125103562555,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00030501247537312293,
+      "loss": 4.7802,
+      "mean_token_accuracy": 0.20651286244392394,
+      "num_tokens": 11044403.0,
+      "step": 6060
+    },
+    {
+      "entropy": 5.360515308380127,
+      "epoch": 5.024855012427507,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0003046957446174251,
+      "loss": 4.7387,
+      "mean_token_accuracy": 0.21264788061380385,
+      "num_tokens": 11052685.0,
+      "step": 6065
+    },
+    {
+      "entropy": 5.316996622085571,
+      "epoch": 5.028997514498757,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00030437895396216524,
+      "loss": 4.591,
+      "mean_token_accuracy": 0.21709324419498444,
+      "num_tokens": 11060830.0,
+      "step": 6070
+    },
+    {
+      "entropy": 5.315813970565796,
+      "epoch": 5.033140016570008,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.00030406210404634475,
+      "loss": 4.7708,
+      "mean_token_accuracy": 0.20373892933130264,
+      "num_tokens": 11070220.0,
+      "step": 6075
+    },
+    {
+      "entropy": 5.294347095489502,
+      "epoch": 5.037282518641259,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003037451955090846,
+      "loss": 4.6847,
+      "mean_token_accuracy": 0.20420003384351731,
+      "num_tokens": 11079171.0,
+      "step": 6080
+    },
+    {
+      "entropy": 5.297221279144287,
+      "epoch": 5.04142502071251,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00030342822898962377,
+      "loss": 4.7697,
+      "mean_token_accuracy": 0.20524269640445708,
+      "num_tokens": 11089205.0,
+      "step": 6085
+    },
+    {
+      "entropy": 5.273457336425781,
+      "epoch": 5.045567522783761,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003031112051273185,
+      "loss": 4.7429,
+      "mean_token_accuracy": 0.21156702935695648,
+      "num_tokens": 11098339.0,
+      "step": 6090
+    },
+    {
+      "entropy": 5.299424123764038,
+      "epoch": 5.049710024855012,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003027941245616405,
+      "loss": 4.6524,
+      "mean_token_accuracy": 0.21203886568546296,
+      "num_tokens": 11107218.0,
+      "step": 6095
+    },
+    {
+      "entropy": 5.3286974906921385,
+      "epoch": 5.0538525269262635,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003024769879321761,
+      "loss": 4.7702,
+      "mean_token_accuracy": 0.2051073744893074,
+      "num_tokens": 11116457.0,
+      "step": 6100
+    },
+    {
+      "entropy": 5.300696182250976,
+      "epoch": 5.057995028997515,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0003021597958786243,
+      "loss": 4.7449,
+      "mean_token_accuracy": 0.20762935131788254,
+      "num_tokens": 11124834.0,
+      "step": 6105
+    },
+    {
+      "entropy": 5.288244676589966,
+      "epoch": 5.062137531068766,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003018425490407962,
+      "loss": 4.76,
+      "mean_token_accuracy": 0.20868725776672364,
+      "num_tokens": 11133920.0,
+      "step": 6110
+    },
+    {
+      "entropy": 5.387529897689819,
+      "epoch": 5.066280033140017,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00030152524805861344,
+      "loss": 4.7597,
+      "mean_token_accuracy": 0.20800695270299913,
+      "num_tokens": 11143573.0,
+      "step": 6115
+    },
+    {
+      "entropy": 5.3629701137542725,
+      "epoch": 5.070422535211268,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00030120789357210667,
+      "loss": 4.8139,
+      "mean_token_accuracy": 0.20669919848442078,
+      "num_tokens": 11154255.0,
+      "step": 6120
+    },
+    {
+      "entropy": 5.300123262405395,
+      "epoch": 5.074565037282519,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00030089048622141453,
+      "loss": 4.7241,
+      "mean_token_accuracy": 0.2095050945878029,
+      "num_tokens": 11163306.0,
+      "step": 6125
+    },
+    {
+      "entropy": 5.368470001220703,
+      "epoch": 5.078707539353769,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00030057302664678243,
+      "loss": 4.7569,
+      "mean_token_accuracy": 0.20853464156389237,
+      "num_tokens": 11172763.0,
+      "step": 6130
+    },
+    {
+      "entropy": 5.33392744064331,
+      "epoch": 5.08285004142502,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00030025551548856105,
+      "loss": 4.7413,
+      "mean_token_accuracy": 0.20951523035764694,
+      "num_tokens": 11182196.0,
+      "step": 6135
+    },
+    {
+      "entropy": 5.287980794906616,
+      "epoch": 5.0869925434962715,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002999379533872051,
+      "loss": 4.7905,
+      "mean_token_accuracy": 0.19804110527038574,
+      "num_tokens": 11192462.0,
+      "step": 6140
+    },
+    {
+      "entropy": 5.281665325164795,
+      "epoch": 5.091135045567523,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002996203409832719,
+      "loss": 4.7519,
+      "mean_token_accuracy": 0.2107569918036461,
+      "num_tokens": 11201805.0,
+      "step": 6145
+    },
+    {
+      "entropy": 5.31660532951355,
+      "epoch": 5.095277547638774,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002993026789174205,
+      "loss": 4.7322,
+      "mean_token_accuracy": 0.21754502654075622,
+      "num_tokens": 11210114.0,
+      "step": 6150
+    },
+    {
+      "entropy": 5.335706996917724,
+      "epoch": 5.099420049710025,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002989849678304099,
+      "loss": 4.8147,
+      "mean_token_accuracy": 0.20241696387529373,
+      "num_tokens": 11219725.0,
+      "step": 6155
+    },
+    {
+      "entropy": 5.308135366439819,
+      "epoch": 5.103562551781276,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00029866720836309817,
+      "loss": 4.7283,
+      "mean_token_accuracy": 0.20736500322818757,
+      "num_tokens": 11228583.0,
+      "step": 6160
+    },
+    {
+      "entropy": 5.3292882442474365,
+      "epoch": 5.107705053852527,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00029834940115644086,
+      "loss": 4.7472,
+      "mean_token_accuracy": 0.20635622441768647,
+      "num_tokens": 11237787.0,
+      "step": 6165
+    },
+    {
+      "entropy": 5.2917111873626705,
+      "epoch": 5.111847555923778,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002980315468514898,
+      "loss": 4.7704,
+      "mean_token_accuracy": 0.20057149082422257,
+      "num_tokens": 11247136.0,
+      "step": 6170
+    },
+    {
+      "entropy": 5.239889097213745,
+      "epoch": 5.115990057995029,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00029771364608939196,
+      "loss": 4.6994,
+      "mean_token_accuracy": 0.20981708765029908,
+      "num_tokens": 11256931.0,
+      "step": 6175
+    },
+    {
+      "entropy": 5.272354030609131,
+      "epoch": 5.12013256006628,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002973956995113878,
+      "loss": 4.6811,
+      "mean_token_accuracy": 0.20489206910133362,
+      "num_tokens": 11266457.0,
+      "step": 6180
+    },
+    {
+      "entropy": 5.272558641433716,
+      "epoch": 5.1242750621375315,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.0002970777077588103,
+      "loss": 4.6443,
+      "mean_token_accuracy": 0.2170465260744095,
+      "num_tokens": 11274239.0,
+      "step": 6185
+    },
+    {
+      "entropy": 5.282349872589111,
+      "epoch": 5.128417564208782,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0002967596714730837,
+      "loss": 4.7752,
+      "mean_token_accuracy": 0.20363858938217164,
+      "num_tokens": 11283239.0,
+      "step": 6190
+    },
+    {
+      "entropy": 5.285331869125367,
+      "epoch": 5.132560066280033,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00029644159129572185,
+      "loss": 4.7121,
+      "mean_token_accuracy": 0.2075791761279106,
+      "num_tokens": 11291662.0,
+      "step": 6195
+    },
+    {
+      "entropy": 5.2614960193634035,
+      "epoch": 5.136702568351284,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002961234678683272,
+      "loss": 4.7453,
+      "mean_token_accuracy": 0.21309943348169327,
+      "num_tokens": 11300165.0,
+      "step": 6200
+    },
+    {
+      "entropy": 5.323043155670166,
+      "epoch": 5.140845070422535,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0002958053018325896,
+      "loss": 4.7132,
+      "mean_token_accuracy": 0.21612811386585234,
+      "num_tokens": 11309729.0,
+      "step": 6205
+    },
+    {
+      "entropy": 5.375712585449219,
+      "epoch": 5.144987572493786,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002954870938302846,
+      "loss": 4.7657,
+      "mean_token_accuracy": 0.2033802881836891,
+      "num_tokens": 11318674.0,
+      "step": 6210
+    },
+    {
+      "entropy": 5.292187595367432,
+      "epoch": 5.149130074565037,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002951688445032726,
+      "loss": 4.7309,
+      "mean_token_accuracy": 0.21144932359457017,
+      "num_tokens": 11327583.0,
+      "step": 6215
+    },
+    {
+      "entropy": 5.326848030090332,
+      "epoch": 5.153272576636288,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002948505544934971,
+      "loss": 4.7639,
+      "mean_token_accuracy": 0.2049189493060112,
+      "num_tokens": 11338132.0,
+      "step": 6220
+    },
+    {
+      "entropy": 5.31851224899292,
+      "epoch": 5.1574150787075395,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000294532224442984,
+      "loss": 4.7911,
+      "mean_token_accuracy": 0.20397177040576936,
+      "num_tokens": 11347210.0,
+      "step": 6225
+    },
+    {
+      "entropy": 5.275168132781983,
+      "epoch": 5.161557580778791,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00029421385499383976,
+      "loss": 4.6742,
+      "mean_token_accuracy": 0.22349916100502015,
+      "num_tokens": 11355479.0,
+      "step": 6230
+    },
+    {
+      "entropy": 5.348278999328613,
+      "epoch": 5.165700082850042,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00029389544678825035,
+      "loss": 4.8403,
+      "mean_token_accuracy": 0.19372698813676834,
+      "num_tokens": 11364518.0,
+      "step": 6235
+    },
+    {
+      "entropy": 5.247139596939087,
+      "epoch": 5.169842584921293,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00029357700046847985,
+      "loss": 4.737,
+      "mean_token_accuracy": 0.2046540141105652,
+      "num_tokens": 11373589.0,
+      "step": 6240
+    },
+    {
+      "entropy": 5.368101263046265,
+      "epoch": 5.173985086992544,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002932585166768694,
+      "loss": 4.7938,
+      "mean_token_accuracy": 0.20394597351551055,
+      "num_tokens": 11383209.0,
+      "step": 6245
+    },
+    {
+      "entropy": 5.315500497817993,
+      "epoch": 5.178127589063794,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00029293999605583545,
+      "loss": 4.7294,
+      "mean_token_accuracy": 0.20444581657648087,
+      "num_tokens": 11392012.0,
+      "step": 6250
+    },
+    {
+      "entropy": 5.282355690002442,
+      "epoch": 5.182270091135045,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00029262143924786905,
+      "loss": 4.7761,
+      "mean_token_accuracy": 0.20456164181232453,
+      "num_tokens": 11400489.0,
+      "step": 6255
+    },
+    {
+      "entropy": 5.2667319774627686,
+      "epoch": 5.186412593206296,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00029230284689553404,
+      "loss": 4.6817,
+      "mean_token_accuracy": 0.21175160706043245,
+      "num_tokens": 11409337.0,
+      "step": 6260
+    },
+    {
+      "entropy": 5.286681175231934,
+      "epoch": 5.190555095277547,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00029198421964146605,
+      "loss": 4.7382,
+      "mean_token_accuracy": 0.21787525415420533,
+      "num_tokens": 11418650.0,
+      "step": 6265
+    },
+    {
+      "entropy": 5.2383523941040036,
+      "epoch": 5.1946975973487985,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002916655581283709,
+      "loss": 4.747,
+      "mean_token_accuracy": 0.20590767711400987,
+      "num_tokens": 11427516.0,
+      "step": 6270
+    },
+    {
+      "entropy": 5.225810289382935,
+      "epoch": 5.19884009942005,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00029134686299902397,
+      "loss": 4.7223,
+      "mean_token_accuracy": 0.20668105334043502,
+      "num_tokens": 11435676.0,
+      "step": 6275
+    },
+    {
+      "entropy": 5.336339044570923,
+      "epoch": 5.202982601491301,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002910281348962679,
+      "loss": 4.7825,
+      "mean_token_accuracy": 0.1937339723110199,
+      "num_tokens": 11444520.0,
+      "step": 6280
+    },
+    {
+      "entropy": 5.342389440536499,
+      "epoch": 5.207125103562552,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00029070937446301225,
+      "loss": 4.7611,
+      "mean_token_accuracy": 0.20350439995527267,
+      "num_tokens": 11453759.0,
+      "step": 6285
+    },
+    {
+      "entropy": 5.377904796600342,
+      "epoch": 5.211267605633803,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002903905823422317,
+      "loss": 4.9078,
+      "mean_token_accuracy": 0.1901518851518631,
+      "num_tokens": 11463409.0,
+      "step": 6290
+    },
+    {
+      "entropy": 5.323945093154907,
+      "epoch": 5.215410107705054,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002900717591769646,
+      "loss": 4.7966,
+      "mean_token_accuracy": 0.20510322898626326,
+      "num_tokens": 11473440.0,
+      "step": 6295
+    },
+    {
+      "entropy": 5.27484130859375,
+      "epoch": 5.219552609776305,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002897529056103122,
+      "loss": 4.6336,
+      "mean_token_accuracy": 0.2183629482984543,
+      "num_tokens": 11482353.0,
+      "step": 6300
+    },
+    {
+      "entropy": 5.297479438781738,
+      "epoch": 5.223695111847556,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002894340222854371,
+      "loss": 4.7712,
+      "mean_token_accuracy": 0.20640946179628372,
+      "num_tokens": 11491331.0,
+      "step": 6305
+    },
+    {
+      "entropy": 5.215849542617798,
+      "epoch": 5.2278376139188065,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002891151098455617,
+      "loss": 4.7107,
+      "mean_token_accuracy": 0.20350281596183778,
+      "num_tokens": 11500553.0,
+      "step": 6310
+    },
+    {
+      "entropy": 5.170541191101075,
+      "epoch": 5.231980115990058,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002887961689339672,
+      "loss": 4.6526,
+      "mean_token_accuracy": 0.21051572561264037,
+      "num_tokens": 11509146.0,
+      "step": 6315
+    },
+    {
+      "entropy": 5.332199335098267,
+      "epoch": 5.236122618061309,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002884772001939924,
+      "loss": 4.7771,
+      "mean_token_accuracy": 0.20190449655056,
+      "num_tokens": 11518172.0,
+      "step": 6320
+    },
+    {
+      "entropy": 5.30375485420227,
+      "epoch": 5.24026512013256,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000288158204269032,
+      "loss": 4.7764,
+      "mean_token_accuracy": 0.19927115142345428,
+      "num_tokens": 11527291.0,
+      "step": 6325
+    },
+    {
+      "entropy": 5.285002279281616,
+      "epoch": 5.244407622203811,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00028783918180253567,
+      "loss": 4.7763,
+      "mean_token_accuracy": 0.20877851247787477,
+      "num_tokens": 11536306.0,
+      "step": 6330
+    },
+    {
+      "entropy": 5.325639486312866,
+      "epoch": 5.248550124275062,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002875201334380066,
+      "loss": 4.801,
+      "mean_token_accuracy": 0.20768691897392272,
+      "num_tokens": 11545879.0,
+      "step": 6335
+    },
+    {
+      "entropy": 5.260626125335693,
+      "epoch": 5.252692626346313,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002872010598190002,
+      "loss": 4.7203,
+      "mean_token_accuracy": 0.21331494748592378,
+      "num_tokens": 11555067.0,
+      "step": 6340
+    },
+    {
+      "entropy": 5.273142910003662,
+      "epoch": 5.256835128417564,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002868819615891229,
+      "loss": 4.699,
+      "mean_token_accuracy": 0.211579430103302,
+      "num_tokens": 11563419.0,
+      "step": 6345
+    },
+    {
+      "entropy": 5.256633758544922,
+      "epoch": 5.260977630488815,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002865628393920305,
+      "loss": 4.7696,
+      "mean_token_accuracy": 0.207663132250309,
+      "num_tokens": 11573018.0,
+      "step": 6350
+    },
+    {
+      "entropy": 5.237578821182251,
+      "epoch": 5.2651201325600665,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.0002862436938714276,
+      "loss": 4.7003,
+      "mean_token_accuracy": 0.20862672179937364,
+      "num_tokens": 11581996.0,
+      "step": 6355
+    },
+    {
+      "entropy": 5.355519008636475,
+      "epoch": 5.269262634631318,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002859245256710654,
+      "loss": 4.7534,
+      "mean_token_accuracy": 0.20775581747293473,
+      "num_tokens": 11591706.0,
+      "step": 6360
+    },
+    {
+      "entropy": 5.319948673248291,
+      "epoch": 5.273405136702569,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002856053354347411,
+      "loss": 4.7813,
+      "mean_token_accuracy": 0.2074725329875946,
+      "num_tokens": 11600616.0,
+      "step": 6365
+    },
+    {
+      "entropy": 5.243834018707275,
+      "epoch": 5.27754763877382,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002852861238062963,
+      "loss": 4.6584,
+      "mean_token_accuracy": 0.21568063348531724,
+      "num_tokens": 11609650.0,
+      "step": 6370
+    },
+    {
+      "entropy": 5.26465950012207,
+      "epoch": 5.28169014084507,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002849668914296157,
+      "loss": 4.6998,
+      "mean_token_accuracy": 0.21142313480377198,
+      "num_tokens": 11618785.0,
+      "step": 6375
+    },
+    {
+      "entropy": 5.305418300628662,
+      "epoch": 5.285832642916321,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000284647638948626,
+      "loss": 4.7576,
+      "mean_token_accuracy": 0.20556087791919708,
+      "num_tokens": 11628089.0,
+      "step": 6380
+    },
+    {
+      "entropy": 5.268257570266724,
+      "epoch": 5.289975144987572,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002843283670072942,
+      "loss": 4.8658,
+      "mean_token_accuracy": 0.19545172303915023,
+      "num_tokens": 11636954.0,
+      "step": 6385
+    },
+    {
+      "entropy": 5.275126600265503,
+      "epoch": 5.294117647058823,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0002840090762496268,
+      "loss": 4.7803,
+      "mean_token_accuracy": 0.20498874336481093,
+      "num_tokens": 11646719.0,
+      "step": 6390
+    },
+    {
+      "entropy": 5.340854024887085,
+      "epoch": 5.2982601491300745,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002836897673196681,
+      "loss": 4.7015,
+      "mean_token_accuracy": 0.20719585418701172,
+      "num_tokens": 11655589.0,
+      "step": 6395
+    },
+    {
+      "entropy": 5.227226972579956,
+      "epoch": 5.302402651201326,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00028337044086149913,
+      "loss": 4.7283,
+      "mean_token_accuracy": 0.20560554265975953,
+      "num_tokens": 11663703.0,
+      "step": 6400
+    },
+    {
+      "entropy": 5.296469211578369,
+      "epoch": 5.306545153272577,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00028305109751923616,
+      "loss": 4.8177,
+      "mean_token_accuracy": 0.20388006865978242,
+      "num_tokens": 11672643.0,
+      "step": 6405
+    },
+    {
+      "entropy": 5.270711994171142,
+      "epoch": 5.310687655343828,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00028273173793702967,
+      "loss": 4.673,
+      "mean_token_accuracy": 0.2078327417373657,
+      "num_tokens": 11681449.0,
+      "step": 6410
+    },
+    {
+      "entropy": 5.301759338378906,
+      "epoch": 5.314830157415079,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002824123627590629,
+      "loss": 4.7568,
+      "mean_token_accuracy": 0.19922166019678117,
+      "num_tokens": 11690820.0,
+      "step": 6415
+    },
+    {
+      "entropy": 5.291653823852539,
+      "epoch": 5.31897265948633,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002820929726295504,
+      "loss": 4.7858,
+      "mean_token_accuracy": 0.2068773627281189,
+      "num_tokens": 11699705.0,
+      "step": 6420
+    },
+    {
+      "entropy": 5.257635831832886,
+      "epoch": 5.323115161557581,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002817735681927371,
+      "loss": 4.7267,
+      "mean_token_accuracy": 0.21190525144338607,
+      "num_tokens": 11709417.0,
+      "step": 6425
+    },
+    {
+      "entropy": 5.305531692504883,
+      "epoch": 5.327257663628831,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00028145415009289644,
+      "loss": 4.7662,
+      "mean_token_accuracy": 0.2035451725125313,
+      "num_tokens": 11718661.0,
+      "step": 6430
+    },
+    {
+      "entropy": 5.240819025039673,
+      "epoch": 5.3314001657000825,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002811347189743297,
+      "loss": 4.7448,
+      "mean_token_accuracy": 0.21049206256866454,
+      "num_tokens": 11727568.0,
+      "step": 6435
+    },
+    {
+      "entropy": 5.250747394561768,
+      "epoch": 5.335542667771334,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00028081527548136446,
+      "loss": 4.6853,
+      "mean_token_accuracy": 0.2216053858399391,
+      "num_tokens": 11736615.0,
+      "step": 6440
+    },
+    {
+      "entropy": 5.348236608505249,
+      "epoch": 5.339685169842585,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002804958202583531,
+      "loss": 4.8181,
+      "mean_token_accuracy": 0.19986798763275146,
+      "num_tokens": 11747458.0,
+      "step": 6445
+    },
+    {
+      "entropy": 5.277511358261108,
+      "epoch": 5.343827671913836,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002801763539496718,
+      "loss": 4.7878,
+      "mean_token_accuracy": 0.2081502467393875,
+      "num_tokens": 11756279.0,
+      "step": 6450
+    },
+    {
+      "entropy": 5.279990530014038,
+      "epoch": 5.347970173985087,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002798568771997188,
+      "loss": 4.7942,
+      "mean_token_accuracy": 0.2071585923433304,
+      "num_tokens": 11765022.0,
+      "step": 6455
+    },
+    {
+      "entropy": 5.2339942932128904,
+      "epoch": 5.352112676056338,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002795373906529137,
+      "loss": 4.7376,
+      "mean_token_accuracy": 0.20560838282108307,
+      "num_tokens": 11774704.0,
+      "step": 6460
+    },
+    {
+      "entropy": 5.248803615570068,
+      "epoch": 5.356255178127589,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002792178949536959,
+      "loss": 4.6784,
+      "mean_token_accuracy": 0.21611350923776626,
+      "num_tokens": 11782309.0,
+      "step": 6465
+    },
+    {
+      "entropy": 5.28652811050415,
+      "epoch": 5.36039768019884,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000278898390746523,
+      "loss": 4.7467,
+      "mean_token_accuracy": 0.20095686316490174,
+      "num_tokens": 11792595.0,
+      "step": 6470
+    },
+    {
+      "entropy": 5.2047077178955075,
+      "epoch": 5.364540182270091,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00027857887867587005,
+      "loss": 4.7269,
+      "mean_token_accuracy": 0.21140239089727403,
+      "num_tokens": 11801536.0,
+      "step": 6475
+    },
+    {
+      "entropy": 5.271708583831787,
+      "epoch": 5.368682684341342,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002782593593862276,
+      "loss": 4.8229,
+      "mean_token_accuracy": 0.19779271334409715,
+      "num_tokens": 11810222.0,
+      "step": 6480
+    },
+    {
+      "entropy": 5.317666244506836,
+      "epoch": 5.3728251864125935,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002779398335221011,
+      "loss": 4.8066,
+      "mean_token_accuracy": 0.20721431225538253,
+      "num_tokens": 11819310.0,
+      "step": 6485
+    },
+    {
+      "entropy": 5.305458688735962,
+      "epoch": 5.376967688483845,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.0002776203017280092,
+      "loss": 4.7703,
+      "mean_token_accuracy": 0.19982181042432784,
+      "num_tokens": 11827916.0,
+      "step": 6490
+    },
+    {
+      "entropy": 5.217341518402099,
+      "epoch": 5.381110190555095,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00027730076464848225,
+      "loss": 4.7654,
+      "mean_token_accuracy": 0.20862893313169478,
+      "num_tokens": 11836770.0,
+      "step": 6495
+    },
+    {
+      "entropy": 5.276216888427735,
+      "epoch": 5.385252692626346,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00027698122292806174,
+      "loss": 4.7006,
+      "mean_token_accuracy": 0.21164953708648682,
+      "num_tokens": 11845917.0,
+      "step": 6500
+    },
+    {
+      "epoch": 5.385252692626346,
+      "eval_entropy": 5.213927641097925,
+      "eval_loss": 5.769200801849365,
+      "eval_mean_token_accuracy": 0.16407465213524508,
+      "eval_num_tokens": 11845917.0,
+      "eval_runtime": 2.9494,
+      "eval_samples_per_second": 1270.426,
+      "eval_steps_per_second": 159.015,
+      "step": 6500
+    },
+    {
+      "entropy": 5.290333843231201,
+      "epoch": 5.389395194697597,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.000276661677211298,
+      "loss": 4.7403,
+      "mean_token_accuracy": 0.20341738760471345,
+      "num_tokens": 11855118.0,
+      "step": 6505
+    },
+    {
+      "entropy": 5.278094148635864,
+      "epoch": 5.393537696768848,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002763421281427497,
+      "loss": 4.6794,
+      "mean_token_accuracy": 0.21257141679525376,
+      "num_tokens": 11863793.0,
+      "step": 6510
+    },
+    {
+      "entropy": 5.368717813491822,
+      "epoch": 5.397680198840099,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002760225763669823,
+      "loss": 4.8171,
+      "mean_token_accuracy": 0.197501078248024,
+      "num_tokens": 11873194.0,
+      "step": 6515
+    },
+    {
+      "entropy": 5.341726636886596,
+      "epoch": 5.40182270091135,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00027570302252856666,
+      "loss": 4.7747,
+      "mean_token_accuracy": 0.20519590526819229,
+      "num_tokens": 11882566.0,
+      "step": 6520
+    },
+    {
+      "entropy": 5.2676441192626955,
+      "epoch": 5.4059652029826015,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00027538346727207767,
+      "loss": 4.7475,
+      "mean_token_accuracy": 0.21314287781715394,
+      "num_tokens": 11892267.0,
+      "step": 6525
+    },
+    {
+      "entropy": 5.272220420837402,
+      "epoch": 5.410107705053853,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002750639112420934,
+      "loss": 4.7716,
+      "mean_token_accuracy": 0.21124217808246612,
+      "num_tokens": 11901440.0,
+      "step": 6530
+    },
+    {
+      "entropy": 5.270874547958374,
+      "epoch": 5.414250207125104,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00027474435508319304,
+      "loss": 4.8396,
+      "mean_token_accuracy": 0.20556266158819197,
+      "num_tokens": 11911259.0,
+      "step": 6535
+    },
+    {
+      "entropy": 5.265343093872071,
+      "epoch": 5.418392709196355,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00027442479943995645,
+      "loss": 4.7941,
+      "mean_token_accuracy": 0.2035036563873291,
+      "num_tokens": 11920467.0,
+      "step": 6540
+    },
+    {
+      "entropy": 5.283535575866699,
+      "epoch": 5.422535211267606,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002741052449569624,
+      "loss": 4.8089,
+      "mean_token_accuracy": 0.19865555614233016,
+      "num_tokens": 11929971.0,
+      "step": 6545
+    },
+    {
+      "entropy": 5.330445003509522,
+      "epoch": 5.426677713338857,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002737856922787869,
+      "loss": 4.8088,
+      "mean_token_accuracy": 0.19926221221685408,
+      "num_tokens": 11938585.0,
+      "step": 6550
+    },
+    {
+      "entropy": 5.301173543930053,
+      "epoch": 5.430820215410108,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027346614205000277,
+      "loss": 4.7884,
+      "mean_token_accuracy": 0.20320066064596176,
+      "num_tokens": 11948264.0,
+      "step": 6555
+    },
+    {
+      "entropy": 5.329202175140381,
+      "epoch": 5.434962717481358,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00027314659491517777,
+      "loss": 4.7827,
+      "mean_token_accuracy": 0.2079697236418724,
+      "num_tokens": 11958459.0,
+      "step": 6560
+    },
+    {
+      "entropy": 5.296626996994019,
+      "epoch": 5.4391052195526095,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002728270515188733,
+      "loss": 4.7728,
+      "mean_token_accuracy": 0.20527158677577972,
+      "num_tokens": 11967994.0,
+      "step": 6565
+    },
+    {
+      "entropy": 5.325187683105469,
+      "epoch": 5.443247721623861,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002725075125056435,
+      "loss": 4.8235,
+      "mean_token_accuracy": 0.21111733317375184,
+      "num_tokens": 11976564.0,
+      "step": 6570
+    },
+    {
+      "entropy": 5.296580266952515,
+      "epoch": 5.447390223695112,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002721879785200333,
+      "loss": 4.7541,
+      "mean_token_accuracy": 0.21026979386806488,
+      "num_tokens": 11985682.0,
+      "step": 6575
+    },
+    {
+      "entropy": 5.34701886177063,
+      "epoch": 5.451532725766363,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002718684502065777,
+      "loss": 4.8138,
+      "mean_token_accuracy": 0.20367322415113448,
+      "num_tokens": 11995098.0,
+      "step": 6580
+    },
+    {
+      "entropy": 5.3261590003967285,
+      "epoch": 5.455675227837614,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00027154892820980024,
+      "loss": 4.8096,
+      "mean_token_accuracy": 0.206008443236351,
+      "num_tokens": 12004538.0,
+      "step": 6585
+    },
+    {
+      "entropy": 5.262662792205811,
+      "epoch": 5.459817729908865,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00027122941317421175,
+      "loss": 4.741,
+      "mean_token_accuracy": 0.21086378544569015,
+      "num_tokens": 12012568.0,
+      "step": 6590
+    },
+    {
+      "entropy": 5.287980222702027,
+      "epoch": 5.463960231980116,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000270909905744309,
+      "loss": 4.776,
+      "mean_token_accuracy": 0.20741475820541383,
+      "num_tokens": 12021934.0,
+      "step": 6595
+    },
+    {
+      "entropy": 5.313226222991943,
+      "epoch": 5.468102734051367,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00027059040656457316,
+      "loss": 4.8104,
+      "mean_token_accuracy": 0.2010733589529991,
+      "num_tokens": 12031158.0,
+      "step": 6600
+    },
+    {
+      "entropy": 5.3314722061157225,
+      "epoch": 5.472245236122618,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002702709162794692,
+      "loss": 4.8078,
+      "mean_token_accuracy": 0.20088913142681122,
+      "num_tokens": 12040392.0,
+      "step": 6605
+    },
+    {
+      "entropy": 5.248980331420898,
+      "epoch": 5.4763877381938695,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00026995143553344394,
+      "loss": 4.6481,
+      "mean_token_accuracy": 0.21935920119285585,
+      "num_tokens": 12048412.0,
+      "step": 6610
+    },
+    {
+      "entropy": 5.258455896377564,
+      "epoch": 5.48053024026512,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00026963196497092483,
+      "loss": 4.7625,
+      "mean_token_accuracy": 0.20619691014289857,
+      "num_tokens": 12057681.0,
+      "step": 6615
+    },
+    {
+      "entropy": 5.290913534164429,
+      "epoch": 5.484672742336371,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00026931250523631905,
+      "loss": 4.7451,
+      "mean_token_accuracy": 0.20713003873825073,
+      "num_tokens": 12066243.0,
+      "step": 6620
+    },
+    {
+      "entropy": 5.215484523773194,
+      "epoch": 5.488815244407622,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026899305697401175,
+      "loss": 4.7545,
+      "mean_token_accuracy": 0.20806889086961747,
+      "num_tokens": 12075312.0,
+      "step": 6625
+    },
+    {
+      "entropy": 5.231590509414673,
+      "epoch": 5.492957746478873,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002686736208283649,
+      "loss": 4.7629,
+      "mean_token_accuracy": 0.20990005433559417,
+      "num_tokens": 12083990.0,
+      "step": 6630
+    },
+    {
+      "entropy": 5.376721620559692,
+      "epoch": 5.497100248550124,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00026835419744371627,
+      "loss": 4.8732,
+      "mean_token_accuracy": 0.19839346706867217,
+      "num_tokens": 12093301.0,
+      "step": 6635
+    },
+    {
+      "entropy": 5.241463851928711,
+      "epoch": 5.501242750621375,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002680347874643775,
+      "loss": 4.6882,
+      "mean_token_accuracy": 0.21418087482452391,
+      "num_tokens": 12102054.0,
+      "step": 6640
+    },
+    {
+      "entropy": 5.262872982025146,
+      "epoch": 5.505385252692626,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002677153915346336,
+      "loss": 4.7708,
+      "mean_token_accuracy": 0.20341249853372573,
+      "num_tokens": 12111432.0,
+      "step": 6645
+    },
+    {
+      "entropy": 5.237018823623657,
+      "epoch": 5.5095277547638775,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002673960102987412,
+      "loss": 4.7032,
+      "mean_token_accuracy": 0.21349260658025743,
+      "num_tokens": 12120424.0,
+      "step": 6650
+    },
+    {
+      "entropy": 5.301366519927979,
+      "epoch": 5.513670256835129,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00026707664440092676,
+      "loss": 4.8377,
+      "mean_token_accuracy": 0.20626042485237123,
+      "num_tokens": 12130210.0,
+      "step": 6655
+    },
+    {
+      "entropy": 5.414148330688477,
+      "epoch": 5.51781275890638,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00026675729448538655,
+      "loss": 4.8269,
+      "mean_token_accuracy": 0.21095569282770157,
+      "num_tokens": 12139366.0,
+      "step": 6660
+    },
+    {
+      "entropy": 5.2740867137908936,
+      "epoch": 5.521955260977631,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00026643796119628404,
+      "loss": 4.6432,
+      "mean_token_accuracy": 0.21321782022714614,
+      "num_tokens": 12148385.0,
+      "step": 6665
+    },
+    {
+      "entropy": 5.290845537185669,
+      "epoch": 5.526097763048882,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002661186451777495,
+      "loss": 4.7822,
+      "mean_token_accuracy": 0.20492887496948242,
+      "num_tokens": 12156640.0,
+      "step": 6670
+    },
+    {
+      "entropy": 5.280693674087525,
+      "epoch": 5.530240265120133,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002657993470738781,
+      "loss": 4.8587,
+      "mean_token_accuracy": 0.19673615247011184,
+      "num_tokens": 12166532.0,
+      "step": 6675
+    },
+    {
+      "entropy": 5.24079852104187,
+      "epoch": 5.534382767191383,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026548006752872915,
+      "loss": 4.6934,
+      "mean_token_accuracy": 0.2146509751677513,
+      "num_tokens": 12175239.0,
+      "step": 6680
+    },
+    {
+      "entropy": 5.243715524673462,
+      "epoch": 5.538525269262634,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002651608071863244,
+      "loss": 4.7611,
+      "mean_token_accuracy": 0.20688466280698775,
+      "num_tokens": 12184588.0,
+      "step": 6685
+    },
+    {
+      "entropy": 5.333131456375122,
+      "epoch": 5.542667771333885,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00026484156669064665,
+      "loss": 4.8177,
+      "mean_token_accuracy": 0.20230551064014435,
+      "num_tokens": 12194140.0,
+      "step": 6690
+    },
+    {
+      "entropy": 5.310734224319458,
+      "epoch": 5.5468102734051365,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.000264522346685639,
+      "loss": 4.8193,
+      "mean_token_accuracy": 0.20696787536144257,
+      "num_tokens": 12203504.0,
+      "step": 6695
+    },
+    {
+      "entropy": 5.33381724357605,
+      "epoch": 5.550952775476388,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0002642031478152031,
+      "loss": 4.7782,
+      "mean_token_accuracy": 0.207833394408226,
+      "num_tokens": 12212594.0,
+      "step": 6700
+    },
+    {
+      "entropy": 5.3383890151977536,
+      "epoch": 5.555095277547639,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00026388397072319786,
+      "loss": 4.8162,
+      "mean_token_accuracy": 0.2045178234577179,
+      "num_tokens": 12222101.0,
+      "step": 6705
+    },
+    {
+      "entropy": 5.29089732170105,
+      "epoch": 5.55923777961889,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002635648160534385,
+      "loss": 4.8118,
+      "mean_token_accuracy": 0.20435990989208222,
+      "num_tokens": 12232118.0,
+      "step": 6710
+    },
+    {
+      "entropy": 5.352822351455688,
+      "epoch": 5.563380281690141,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026324568444969473,
+      "loss": 4.7439,
+      "mean_token_accuracy": 0.20706239342689514,
+      "num_tokens": 12241275.0,
+      "step": 6715
+    },
+    {
+      "entropy": 5.245583724975586,
+      "epoch": 5.567522783761392,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026292657655569,
+      "loss": 4.7375,
+      "mean_token_accuracy": 0.21279312521219254,
+      "num_tokens": 12251125.0,
+      "step": 6720
+    },
+    {
+      "entropy": 5.229356813430786,
+      "epoch": 5.571665285832643,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00026260749301509954,
+      "loss": 4.7241,
+      "mean_token_accuracy": 0.21198077648878097,
+      "num_tokens": 12260613.0,
+      "step": 6725
+    },
+    {
+      "entropy": 5.324583339691162,
+      "epoch": 5.575807787903894,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026228843447155005,
+      "loss": 4.733,
+      "mean_token_accuracy": 0.2107634127140045,
+      "num_tokens": 12269878.0,
+      "step": 6730
+    },
+    {
+      "entropy": 5.270222854614258,
+      "epoch": 5.5799502899751445,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00026196940156861736,
+      "loss": 4.7819,
+      "mean_token_accuracy": 0.20616225749254227,
+      "num_tokens": 12278616.0,
+      "step": 6735
+    },
+    {
+      "entropy": 5.194797945022583,
+      "epoch": 5.584092792046396,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00026165039494982555,
+      "loss": 4.7068,
+      "mean_token_accuracy": 0.2110671728849411,
+      "num_tokens": 12287104.0,
+      "step": 6740
+    },
+    {
+      "entropy": 5.187378549575806,
+      "epoch": 5.588235294117647,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00026133141525864605,
+      "loss": 4.7357,
+      "mean_token_accuracy": 0.20822987705469131,
+      "num_tokens": 12296503.0,
+      "step": 6745
+    },
+    {
+      "entropy": 5.294446992874145,
+      "epoch": 5.592377796188898,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00026101246313849557,
+      "loss": 4.6989,
+      "mean_token_accuracy": 0.2123148426413536,
+      "num_tokens": 12306298.0,
+      "step": 6750
+    },
+    {
+      "entropy": 5.2862865924835205,
+      "epoch": 5.596520298260149,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0002606935392327356,
+      "loss": 4.7664,
+      "mean_token_accuracy": 0.20611962229013442,
+      "num_tokens": 12314826.0,
+      "step": 6755
+    },
+    {
+      "entropy": 5.258157396316529,
+      "epoch": 5.6006628003314,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00026037464418467035,
+      "loss": 4.7079,
+      "mean_token_accuracy": 0.21357058137655258,
+      "num_tokens": 12323776.0,
+      "step": 6760
+    },
+    {
+      "entropy": 5.312329053878784,
+      "epoch": 5.604805302402651,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002600557786375459,
+      "loss": 4.7819,
+      "mean_token_accuracy": 0.20854859054088593,
+      "num_tokens": 12332374.0,
+      "step": 6765
+    },
+    {
+      "entropy": 5.217779874801636,
+      "epoch": 5.608947804473902,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00025973694323454916,
+      "loss": 4.6354,
+      "mean_token_accuracy": 0.21756067872047424,
+      "num_tokens": 12341007.0,
+      "step": 6770
+    },
+    {
+      "entropy": 5.175305271148682,
+      "epoch": 5.613090306545153,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00025941813861880575,
+      "loss": 4.7114,
+      "mean_token_accuracy": 0.20966241657733917,
+      "num_tokens": 12350330.0,
+      "step": 6775
+    },
+    {
+      "entropy": 5.267894315719604,
+      "epoch": 5.6172328086164045,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00025909936543337957,
+      "loss": 4.7519,
+      "mean_token_accuracy": 0.1993374451994896,
+      "num_tokens": 12358592.0,
+      "step": 6780
+    },
+    {
+      "entropy": 5.290813016891479,
+      "epoch": 5.621375310687656,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002587806243212709,
+      "loss": 4.7692,
+      "mean_token_accuracy": 0.20917081385850905,
+      "num_tokens": 12368195.0,
+      "step": 6785
+    },
+    {
+      "entropy": 5.241605234146118,
+      "epoch": 5.625517812758907,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002584619159254154,
+      "loss": 4.7124,
+      "mean_token_accuracy": 0.20834194272756576,
+      "num_tokens": 12377206.0,
+      "step": 6790
+    },
+    {
+      "entropy": 5.247827816009521,
+      "epoch": 5.629660314830158,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00025814324088868276,
+      "loss": 4.7593,
+      "mean_token_accuracy": 0.21013118624687194,
+      "num_tokens": 12386595.0,
+      "step": 6795
+    },
+    {
+      "entropy": 5.175970602035522,
+      "epoch": 5.633802816901408,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00025782459985387526,
+      "loss": 4.6569,
+      "mean_token_accuracy": 0.2180004358291626,
+      "num_tokens": 12395923.0,
+      "step": 6800
+    },
+    {
+      "entropy": 5.269517803192139,
+      "epoch": 5.637945318972659,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002575059934637268,
+      "loss": 4.7985,
+      "mean_token_accuracy": 0.20669761300086975,
+      "num_tokens": 12405094.0,
+      "step": 6805
+    },
+    {
+      "entropy": 5.268765878677368,
+      "epoch": 5.64208782104391,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002571874223609012,
+      "loss": 4.7972,
+      "mean_token_accuracy": 0.20435070544481276,
+      "num_tokens": 12414834.0,
+      "step": 6810
+    },
+    {
+      "entropy": 5.294848012924194,
+      "epoch": 5.646230323115161,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00025686888718799136,
+      "loss": 4.7513,
+      "mean_token_accuracy": 0.20469613671302794,
+      "num_tokens": 12423485.0,
+      "step": 6815
+    },
+    {
+      "entropy": 5.368587017059326,
+      "epoch": 5.6503728251864125,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002565503885875173,
+      "loss": 4.7935,
+      "mean_token_accuracy": 0.20704300552606583,
+      "num_tokens": 12432149.0,
+      "step": 6820
+    },
+    {
+      "entropy": 5.2622401237487795,
+      "epoch": 5.654515327257664,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00025623192720192564,
+      "loss": 4.7433,
+      "mean_token_accuracy": 0.2119109019637108,
+      "num_tokens": 12441272.0,
+      "step": 6825
+    },
+    {
+      "entropy": 5.190871524810791,
+      "epoch": 5.658657829328915,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002559135036735877,
+      "loss": 4.7388,
+      "mean_token_accuracy": 0.20155471414327622,
+      "num_tokens": 12449318.0,
+      "step": 6830
+    },
+    {
+      "entropy": 5.168833065032959,
+      "epoch": 5.662800331400166,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00025559511864479864,
+      "loss": 4.6898,
+      "mean_token_accuracy": 0.21231105625629426,
+      "num_tokens": 12458473.0,
+      "step": 6835
+    },
+    {
+      "entropy": 5.313192129135132,
+      "epoch": 5.666942833471417,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002552767727577758,
+      "loss": 4.8113,
+      "mean_token_accuracy": 0.20445662438869477,
+      "num_tokens": 12467703.0,
+      "step": 6840
+    },
+    {
+      "entropy": 5.292496681213379,
+      "epoch": 5.671085335542668,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00025495846665465774,
+      "loss": 4.6938,
+      "mean_token_accuracy": 0.21795116513967513,
+      "num_tokens": 12476166.0,
+      "step": 6845
+    },
+    {
+      "entropy": 5.235640621185302,
+      "epoch": 5.675227837613919,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002546402009775024,
+      "loss": 4.7403,
+      "mean_token_accuracy": 0.20330073386430741,
+      "num_tokens": 12484880.0,
+      "step": 6850
+    },
+    {
+      "entropy": 5.31177544593811,
+      "epoch": 5.679370339685169,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00025432197636828663,
+      "loss": 4.8103,
+      "mean_token_accuracy": 0.20381423085927963,
+      "num_tokens": 12494208.0,
+      "step": 6855
+    },
+    {
+      "entropy": 5.334811210632324,
+      "epoch": 5.683512841756421,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002540037934689042,
+      "loss": 4.8024,
+      "mean_token_accuracy": 0.20098040848970414,
+      "num_tokens": 12503647.0,
+      "step": 6860
+    },
+    {
+      "entropy": 5.295432138442993,
+      "epoch": 5.687655343827672,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00025368565292116475,
+      "loss": 4.8225,
+      "mean_token_accuracy": 0.20177613645792009,
+      "num_tokens": 12512869.0,
+      "step": 6865
+    },
+    {
+      "entropy": 5.28051609992981,
+      "epoch": 5.691797845898923,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002533675553667927,
+      "loss": 4.8747,
+      "mean_token_accuracy": 0.19059171974658967,
+      "num_tokens": 12523222.0,
+      "step": 6870
+    },
+    {
+      "entropy": 5.24097170829773,
+      "epoch": 5.695940347970174,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00025304950144742523,
+      "loss": 4.7456,
+      "mean_token_accuracy": 0.20784133225679396,
+      "num_tokens": 12532343.0,
+      "step": 6875
+    },
+    {
+      "entropy": 5.255422782897949,
+      "epoch": 5.700082850041425,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002527314918046122,
+      "loss": 4.7467,
+      "mean_token_accuracy": 0.21441746652126312,
+      "num_tokens": 12541508.0,
+      "step": 6880
+    },
+    {
+      "entropy": 5.222242641448974,
+      "epoch": 5.704225352112676,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0002524135270798136,
+      "loss": 4.7731,
+      "mean_token_accuracy": 0.20265263617038726,
+      "num_tokens": 12550837.0,
+      "step": 6885
+    },
+    {
+      "entropy": 5.259101152420044,
+      "epoch": 5.708367854183927,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00025209560791439914,
+      "loss": 4.7223,
+      "mean_token_accuracy": 0.21348682641983033,
+      "num_tokens": 12559859.0,
+      "step": 6890
+    },
+    {
+      "entropy": 5.279586315155029,
+      "epoch": 5.712510356255178,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002517777349496465,
+      "loss": 4.8096,
+      "mean_token_accuracy": 0.20708946287631988,
+      "num_tokens": 12569137.0,
+      "step": 6895
+    },
+    {
+      "entropy": 5.332545948028565,
+      "epoch": 5.716652858326429,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002514599088267401,
+      "loss": 4.8391,
+      "mean_token_accuracy": 0.20370080918073655,
+      "num_tokens": 12578111.0,
+      "step": 6900
+    },
+    {
+      "entropy": 5.30065131187439,
+      "epoch": 5.72079536039768,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00025114213018677004,
+      "loss": 4.7826,
+      "mean_token_accuracy": 0.21398544907569886,
+      "num_tokens": 12587604.0,
+      "step": 6905
+    },
+    {
+      "entropy": 5.328654146194458,
+      "epoch": 5.7249378624689315,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002508243996707305,
+      "loss": 4.7982,
+      "mean_token_accuracy": 0.2033779114484787,
+      "num_tokens": 12596620.0,
+      "step": 6910
+    },
+    {
+      "entropy": 5.252767944335938,
+      "epoch": 5.729080364540183,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00025050671791951887,
+      "loss": 4.7682,
+      "mean_token_accuracy": 0.20568756759166718,
+      "num_tokens": 12605452.0,
+      "step": 6915
+    },
+    {
+      "entropy": 5.195128536224365,
+      "epoch": 5.733222866611433,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002501890855739337,
+      "loss": 4.6654,
+      "mean_token_accuracy": 0.22127037048339843,
+      "num_tokens": 12614009.0,
+      "step": 6920
+    },
+    {
+      "entropy": 5.287421989440918,
+      "epoch": 5.737365368682684,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00024987150327467414,
+      "loss": 4.8201,
+      "mean_token_accuracy": 0.2010796323418617,
+      "num_tokens": 12624135.0,
+      "step": 6925
+    },
+    {
+      "entropy": 5.221401596069336,
+      "epoch": 5.741507870753935,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024955397166233855,
+      "loss": 4.6474,
+      "mean_token_accuracy": 0.22327282428741455,
+      "num_tokens": 12632870.0,
+      "step": 6930
+    },
+    {
+      "entropy": 5.304728364944458,
+      "epoch": 5.745650372825186,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024923649137742276,
+      "loss": 4.8549,
+      "mean_token_accuracy": 0.1950896918773651,
+      "num_tokens": 12643606.0,
+      "step": 6935
+    },
+    {
+      "entropy": 5.385456705093384,
+      "epoch": 5.749792874896437,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0002489190630603194,
+      "loss": 4.8834,
+      "mean_token_accuracy": 0.20502226054668427,
+      "num_tokens": 12652926.0,
+      "step": 6940
+    },
+    {
+      "entropy": 5.331468009948731,
+      "epoch": 5.753935376967688,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002486016873513159,
+      "loss": 4.8219,
+      "mean_token_accuracy": 0.20297979861497878,
+      "num_tokens": 12661841.0,
+      "step": 6945
+    },
+    {
+      "entropy": 5.257536315917969,
+      "epoch": 5.7580778790389395,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002482843648905937,
+      "loss": 4.7409,
+      "mean_token_accuracy": 0.2069641500711441,
+      "num_tokens": 12670527.0,
+      "step": 6950
+    },
+    {
+      "entropy": 5.216205167770386,
+      "epoch": 5.762220381110191,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002479670963182271,
+      "loss": 4.7365,
+      "mean_token_accuracy": 0.19854751229286194,
+      "num_tokens": 12680346.0,
+      "step": 6955
+    },
+    {
+      "entropy": 5.315979433059693,
+      "epoch": 5.766362883181442,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00024764988227418114,
+      "loss": 4.8273,
+      "mean_token_accuracy": 0.20946504771709443,
+      "num_tokens": 12691088.0,
+      "step": 6960
+    },
+    {
+      "entropy": 5.343829536437989,
+      "epoch": 5.770505385252693,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002473327233983116,
+      "loss": 4.7894,
+      "mean_token_accuracy": 0.20746862143278122,
+      "num_tokens": 12700296.0,
+      "step": 6965
+    },
+    {
+      "entropy": 5.241484355926514,
+      "epoch": 5.774647887323944,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002470156203303622,
+      "loss": 4.7882,
+      "mean_token_accuracy": 0.20888512581586838,
+      "num_tokens": 12709595.0,
+      "step": 6970
+    },
+    {
+      "entropy": 5.276812028884888,
+      "epoch": 5.778790389395195,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0002466985737099649,
+      "loss": 4.838,
+      "mean_token_accuracy": 0.20352406352758406,
+      "num_tokens": 12719052.0,
+      "step": 6975
+    },
+    {
+      "entropy": 5.237840700149536,
+      "epoch": 5.782932891466446,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002463815841766371,
+      "loss": 4.7033,
+      "mean_token_accuracy": 0.21847177892923356,
+      "num_tokens": 12727287.0,
+      "step": 6980
+    },
+    {
+      "entropy": 5.252689790725708,
+      "epoch": 5.787075393537696,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002460646523697813,
+      "loss": 4.7649,
+      "mean_token_accuracy": 0.2055829644203186,
+      "num_tokens": 12736511.0,
+      "step": 6985
+    },
+    {
+      "entropy": 5.295902395248413,
+      "epoch": 5.7912178956089475,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00024574777892868386,
+      "loss": 4.7758,
+      "mean_token_accuracy": 0.20809024274349214,
+      "num_tokens": 12745597.0,
+      "step": 6990
+    },
+    {
+      "entropy": 5.260382986068725,
+      "epoch": 5.795360397680199,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00024543096449251286,
+      "loss": 4.6362,
+      "mean_token_accuracy": 0.221256822347641,
+      "num_tokens": 12753492.0,
+      "step": 6995
+    },
+    {
+      "entropy": 5.3082959175109865,
+      "epoch": 5.79950289975145,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002451142097003177,
+      "loss": 4.7765,
+      "mean_token_accuracy": 0.21173641979694366,
+      "num_tokens": 12761999.0,
+      "step": 7000
+    },
+    {
+      "epoch": 5.79950289975145,
+      "eval_entropy": 5.159527343473455,
+      "eval_loss": 5.7473931312561035,
+      "eval_mean_token_accuracy": 0.1656088415525361,
+      "eval_num_tokens": 12761999.0,
+      "eval_runtime": 2.7553,
+      "eval_samples_per_second": 1359.941,
+      "eval_steps_per_second": 170.219,
+      "step": 7000
+    },
+    {
+      "entropy": 5.250266122817993,
+      "epoch": 5.803645401822701,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002447975151910276,
+      "loss": 4.6884,
+      "mean_token_accuracy": 0.20662099421024321,
+      "num_tokens": 12770922.0,
+      "step": 7005
+    },
+    {
+      "entropy": 5.225958204269409,
+      "epoch": 5.807787903893952,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00024448088160344974,
+      "loss": 4.72,
+      "mean_token_accuracy": 0.2077726110816002,
+      "num_tokens": 12779539.0,
+      "step": 7010
+    },
+    {
+      "entropy": 5.266984176635742,
+      "epoch": 5.811930405965203,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002441643095762688,
+      "loss": 4.7539,
+      "mean_token_accuracy": 0.20866499096155167,
+      "num_tokens": 12788121.0,
+      "step": 7015
+    },
+    {
+      "entropy": 5.206212854385376,
+      "epoch": 5.816072908036454,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000243847799748045,
+      "loss": 4.6301,
+      "mean_token_accuracy": 0.21100328713655472,
+      "num_tokens": 12797390.0,
+      "step": 7020
+    },
+    {
+      "entropy": 5.249676036834717,
+      "epoch": 5.820215410107705,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00024353135275721356,
+      "loss": 4.8644,
+      "mean_token_accuracy": 0.19687919616699218,
+      "num_tokens": 12807876.0,
+      "step": 7025
+    },
+    {
+      "entropy": 5.184282016754151,
+      "epoch": 5.824357912178956,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00024321496924208235,
+      "loss": 4.6805,
+      "mean_token_accuracy": 0.2075910523533821,
+      "num_tokens": 12816496.0,
+      "step": 7030
+    },
+    {
+      "entropy": 5.282375478744507,
+      "epoch": 5.8285004142502075,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00024289864984083166,
+      "loss": 4.7571,
+      "mean_token_accuracy": 0.21421819925308228,
+      "num_tokens": 12825925.0,
+      "step": 7035
+    },
+    {
+      "entropy": 5.330373096466064,
+      "epoch": 5.832642916321458,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002425823951915122,
+      "loss": 4.776,
+      "mean_token_accuracy": 0.20406203866004943,
+      "num_tokens": 12835479.0,
+      "step": 7040
+    },
+    {
+      "entropy": 5.227119112014771,
+      "epoch": 5.836785418392709,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002422662059320442,
+      "loss": 4.6764,
+      "mean_token_accuracy": 0.2194245144724846,
+      "num_tokens": 12844024.0,
+      "step": 7045
+    },
+    {
+      "entropy": 5.242313861846924,
+      "epoch": 5.84092792046396,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00024195008270021595,
+      "loss": 4.6767,
+      "mean_token_accuracy": 0.21089302152395248,
+      "num_tokens": 12852673.0,
+      "step": 7050
+    },
+    {
+      "entropy": 5.168107366561889,
+      "epoch": 5.845070422535211,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00024163402613368252,
+      "loss": 4.7042,
+      "mean_token_accuracy": 0.21519682556390762,
+      "num_tokens": 12861191.0,
+      "step": 7055
+    },
+    {
+      "entropy": 5.273849678039551,
+      "epoch": 5.849212924606462,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00024131803686996457,
+      "loss": 4.8483,
+      "mean_token_accuracy": 0.20502860397100447,
+      "num_tokens": 12870874.0,
+      "step": 7060
+    },
+    {
+      "entropy": 5.314899635314942,
+      "epoch": 5.853355426677713,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00024100211554644696,
+      "loss": 4.7741,
+      "mean_token_accuracy": 0.21026002764701843,
+      "num_tokens": 12879896.0,
+      "step": 7065
+    },
+    {
+      "entropy": 5.297897291183472,
+      "epoch": 5.857497928748964,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00024068626280037753,
+      "loss": 4.786,
+      "mean_token_accuracy": 0.20807335823774337,
+      "num_tokens": 12888665.0,
+      "step": 7070
+    },
+    {
+      "entropy": 5.261636590957641,
+      "epoch": 5.8616404308202155,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00024037047926886578,
+      "loss": 4.7416,
+      "mean_token_accuracy": 0.20277187824249268,
+      "num_tokens": 12897477.0,
+      "step": 7075
+    },
+    {
+      "entropy": 5.251101160049439,
+      "epoch": 5.865782932891467,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024005476558888172,
+      "loss": 4.794,
+      "mean_token_accuracy": 0.2007831260561943,
+      "num_tokens": 12905934.0,
+      "step": 7080
+    },
+    {
+      "entropy": 5.255609798431396,
+      "epoch": 5.869925434962718,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002397391223972541,
+      "loss": 4.7929,
+      "mean_token_accuracy": 0.20374300181865693,
+      "num_tokens": 12915092.0,
+      "step": 7085
+    },
+    {
+      "entropy": 5.2630064487457275,
+      "epoch": 5.874067937033969,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00023942355033066993,
+      "loss": 4.8721,
+      "mean_token_accuracy": 0.19899580031633377,
+      "num_tokens": 12924775.0,
+      "step": 7090
+    },
+    {
+      "entropy": 5.329388093948364,
+      "epoch": 5.87821043910522,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00023910805002567244,
+      "loss": 4.7789,
+      "mean_token_accuracy": 0.2048063576221466,
+      "num_tokens": 12933677.0,
+      "step": 7095
+    },
+    {
+      "entropy": 5.261180973052978,
+      "epoch": 5.882352941176471,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002387926221186603,
+      "loss": 4.8017,
+      "mean_token_accuracy": 0.2079474300146103,
+      "num_tokens": 12942416.0,
+      "step": 7100
+    },
+    {
+      "entropy": 5.231311798095703,
+      "epoch": 5.886495443247721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00023847726724588608,
+      "loss": 4.7718,
+      "mean_token_accuracy": 0.21066755801439285,
+      "num_tokens": 12952284.0,
+      "step": 7105
+    },
+    {
+      "entropy": 5.278716087341309,
+      "epoch": 5.890637945318972,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002381619860434549,
+      "loss": 4.8123,
+      "mean_token_accuracy": 0.19911128133535386,
+      "num_tokens": 12960694.0,
+      "step": 7110
+    },
+    {
+      "entropy": 5.215971040725708,
+      "epoch": 5.894780447390223,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00023784677914732356,
+      "loss": 4.727,
+      "mean_token_accuracy": 0.20931341648101806,
+      "num_tokens": 12969138.0,
+      "step": 7115
+    },
+    {
+      "entropy": 5.292342042922973,
+      "epoch": 5.8989229494614746,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00023753164719329868,
+      "loss": 4.766,
+      "mean_token_accuracy": 0.20421497970819474,
+      "num_tokens": 12978518.0,
+      "step": 7120
+    },
+    {
+      "entropy": 5.309631299972534,
+      "epoch": 5.903065451532726,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00023721659081703595,
+      "loss": 4.7856,
+      "mean_token_accuracy": 0.2164353221654892,
+      "num_tokens": 12987506.0,
+      "step": 7125
+    },
+    {
+      "entropy": 5.2704308986663815,
+      "epoch": 5.907207953603977,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023690161065403838,
+      "loss": 4.7667,
+      "mean_token_accuracy": 0.20384967178106309,
+      "num_tokens": 12996259.0,
+      "step": 7130
+    },
+    {
+      "entropy": 5.284243488311768,
+      "epoch": 5.911350455675228,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002365867073396555,
+      "loss": 4.7914,
+      "mean_token_accuracy": 0.20621232688426971,
+      "num_tokens": 13005430.0,
+      "step": 7135
+    },
+    {
+      "entropy": 5.2192955493927,
+      "epoch": 5.915492957746479,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023627188150908174,
+      "loss": 4.7414,
+      "mean_token_accuracy": 0.21523537784814833,
+      "num_tokens": 13014915.0,
+      "step": 7140
+    },
+    {
+      "entropy": 5.267714023590088,
+      "epoch": 5.91963545981773,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00023595713379735494,
+      "loss": 4.7483,
+      "mean_token_accuracy": 0.20747244358062744,
+      "num_tokens": 13023471.0,
+      "step": 7145
+    },
+    {
+      "entropy": 5.29262957572937,
+      "epoch": 5.923777961888981,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00023564246483935602,
+      "loss": 4.7364,
+      "mean_token_accuracy": 0.20276205390691757,
+      "num_tokens": 13033270.0,
+      "step": 7150
+    },
+    {
+      "entropy": 5.26424388885498,
+      "epoch": 5.927920463960232,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002353278752698063,
+      "loss": 4.7029,
+      "mean_token_accuracy": 0.2120548114180565,
+      "num_tokens": 13043300.0,
+      "step": 7155
+    },
+    {
+      "entropy": 5.261445045471191,
+      "epoch": 5.9320629660314825,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002350133657232676,
+      "loss": 4.7627,
+      "mean_token_accuracy": 0.20174376368522645,
+      "num_tokens": 13052152.0,
+      "step": 7160
+    },
+    {
+      "entropy": 5.286171960830688,
+      "epoch": 5.9362054681027345,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002346989368341399,
+      "loss": 4.8033,
+      "mean_token_accuracy": 0.20869386494159697,
+      "num_tokens": 13061704.0,
+      "step": 7165
+    },
+    {
+      "entropy": 5.280704736709595,
+      "epoch": 5.940347970173985,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023438458923666057,
+      "loss": 4.7209,
+      "mean_token_accuracy": 0.2152332365512848,
+      "num_tokens": 13071055.0,
+      "step": 7170
+    },
+    {
+      "entropy": 5.268754768371582,
+      "epoch": 5.944490472245236,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002340703235649032,
+      "loss": 4.8331,
+      "mean_token_accuracy": 0.1926100879907608,
+      "num_tokens": 13080023.0,
+      "step": 7175
+    },
+    {
+      "entropy": 5.263068819046021,
+      "epoch": 5.948632974316487,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00023375614045277593,
+      "loss": 4.7536,
+      "mean_token_accuracy": 0.20691772699356079,
+      "num_tokens": 13088690.0,
+      "step": 7180
+    },
+    {
+      "entropy": 5.232177972793579,
+      "epoch": 5.952775476387738,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00023344204053402047,
+      "loss": 4.7377,
+      "mean_token_accuracy": 0.21229761391878127,
+      "num_tokens": 13097116.0,
+      "step": 7185
+    },
+    {
+      "entropy": 5.343814706802368,
+      "epoch": 5.956917978458989,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00023312802444221066,
+      "loss": 4.7995,
+      "mean_token_accuracy": 0.20769918113946914,
+      "num_tokens": 13106463.0,
+      "step": 7190
+    },
+    {
+      "entropy": 5.273978662490845,
+      "epoch": 5.96106048053024,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002328140928107511,
+      "loss": 4.7045,
+      "mean_token_accuracy": 0.21413260698318481,
+      "num_tokens": 13115769.0,
+      "step": 7195
+    },
+    {
+      "entropy": 5.293670988082885,
+      "epoch": 5.965202982601491,
+      "grad_norm": 1.6875,
+      "learning_rate": 0.0002325002462728766,
+      "loss": 4.8058,
+      "mean_token_accuracy": 0.20858496129512788,
+      "num_tokens": 13124928.0,
+      "step": 7200
+    },
+    {
+      "entropy": 5.264481544494629,
+      "epoch": 5.9693454846727425,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00023218648546164945,
+      "loss": 4.7587,
+      "mean_token_accuracy": 0.20816877782344817,
+      "num_tokens": 13134106.0,
+      "step": 7205
+    },
+    {
+      "entropy": 5.401337671279907,
+      "epoch": 5.973487986743994,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002318728110099599,
+      "loss": 4.9463,
+      "mean_token_accuracy": 0.19887659698724747,
+      "num_tokens": 13143019.0,
+      "step": 7210
+    },
+    {
+      "entropy": 5.267350912094116,
+      "epoch": 5.977630488815245,
+      "grad_norm": 1.625,
+      "learning_rate": 0.00023155922355052339,
+      "loss": 4.6633,
+      "mean_token_accuracy": 0.223431359231472,
+      "num_tokens": 13152675.0,
+      "step": 7215
+    },
+    {
+      "entropy": 5.256755113601685,
+      "epoch": 5.981772990886496,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00023124572371588,
+      "loss": 4.6968,
+      "mean_token_accuracy": 0.2141074687242508,
+      "num_tokens": 13161094.0,
+      "step": 7220
+    },
+    {
+      "entropy": 5.22665810585022,
+      "epoch": 5.985915492957746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00023093231213839344,
+      "loss": 4.7801,
+      "mean_token_accuracy": 0.2072029694914818,
+      "num_tokens": 13170858.0,
+      "step": 7225
+    },
+    {
+      "entropy": 5.248539400100708,
+      "epoch": 5.990057995028997,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002306189894502488,
+      "loss": 4.8402,
+      "mean_token_accuracy": 0.1976972222328186,
+      "num_tokens": 13179668.0,
+      "step": 7230
+    },
+    {
+      "entropy": 5.278863763809204,
+      "epoch": 5.994200497100248,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00023030575628345246,
+      "loss": 4.7021,
+      "mean_token_accuracy": 0.2132765233516693,
+      "num_tokens": 13188312.0,
+      "step": 7235
+    },
+    {
+      "entropy": 5.254744529724121,
+      "epoch": 5.998342999171499,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022999261326982985,
+      "loss": 4.7474,
+      "mean_token_accuracy": 0.20551027208566666,
+      "num_tokens": 13196989.0,
+      "step": 7240
+    },
+    {
+      "entropy": 5.215828323364258,
+      "epoch": 6.0024855012427505,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00022967956104102445,
+      "loss": 4.6371,
+      "mean_token_accuracy": 0.21983437091112137,
+      "num_tokens": 13205830.0,
+      "step": 7245
+    },
+    {
+      "entropy": 5.325025272369385,
+      "epoch": 6.006628003314002,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00022936660022849714,
+      "loss": 4.5948,
+      "mean_token_accuracy": 0.22821232080459594,
+      "num_tokens": 13214711.0,
+      "step": 7250
+    },
+    {
+      "entropy": 5.262428140640258,
+      "epoch": 6.010770505385253,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022905373146352382,
+      "loss": 4.6602,
+      "mean_token_accuracy": 0.21241429150104524,
+      "num_tokens": 13223736.0,
+      "step": 7255
+    },
+    {
+      "entropy": 5.257147979736328,
+      "epoch": 6.014913007456504,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002287409553771952,
+      "loss": 4.556,
+      "mean_token_accuracy": 0.22737590819597245,
+      "num_tokens": 13232666.0,
+      "step": 7260
+    },
+    {
+      "entropy": 5.291457891464233,
+      "epoch": 6.019055509527755,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00022842827260041455,
+      "loss": 4.5848,
+      "mean_token_accuracy": 0.21761821508407592,
+      "num_tokens": 13241770.0,
+      "step": 7265
+    },
+    {
+      "entropy": 5.261249971389771,
+      "epoch": 6.023198011599006,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00022811568376389745,
+      "loss": 4.5326,
+      "mean_token_accuracy": 0.22425681203603745,
+      "num_tokens": 13250475.0,
+      "step": 7270
+    },
+    {
+      "entropy": 5.233007001876831,
+      "epoch": 6.027340513670257,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00022780318949816963,
+      "loss": 4.5183,
+      "mean_token_accuracy": 0.22254440933465958,
+      "num_tokens": 13259587.0,
+      "step": 7275
+    },
+    {
+      "entropy": 5.216541528701782,
+      "epoch": 6.031483015741508,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00022749079043356623,
+      "loss": 4.5404,
+      "mean_token_accuracy": 0.23734405487775803,
+      "num_tokens": 13269681.0,
+      "step": 7280
+    },
+    {
+      "entropy": 5.211581516265869,
+      "epoch": 6.0356255178127585,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00022717848720023022,
+      "loss": 4.5539,
+      "mean_token_accuracy": 0.2277751386165619,
+      "num_tokens": 13278186.0,
+      "step": 7285
+    },
+    {
+      "entropy": 5.25051851272583,
+      "epoch": 6.03976801988401,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022686628042811142,
+      "loss": 4.6462,
+      "mean_token_accuracy": 0.21404165476560594,
+      "num_tokens": 13287194.0,
+      "step": 7290
+    },
+    {
+      "entropy": 5.334251356124878,
+      "epoch": 6.043910521955261,
+      "grad_norm": 1.375,
+      "learning_rate": 0.000226554170746965,
+      "loss": 4.6707,
+      "mean_token_accuracy": 0.21294027268886567,
+      "num_tokens": 13296774.0,
+      "step": 7295
+    },
+    {
+      "entropy": 5.338882112503052,
+      "epoch": 6.048053024026512,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00022624215878635023,
+      "loss": 4.5887,
+      "mean_token_accuracy": 0.21931985318660735,
+      "num_tokens": 13306368.0,
+      "step": 7300
+    },
+    {
+      "entropy": 5.310757160186768,
+      "epoch": 6.052195526097763,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00022593024517562945,
+      "loss": 4.5551,
+      "mean_token_accuracy": 0.22974174320697785,
+      "num_tokens": 13315393.0,
+      "step": 7305
+    },
+    {
+      "entropy": 5.216650152206421,
+      "epoch": 6.056338028169014,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022561843054396636,
+      "loss": 4.5496,
+      "mean_token_accuracy": 0.22554152607917785,
+      "num_tokens": 13324384.0,
+      "step": 7310
+    },
+    {
+      "entropy": 5.265720653533935,
+      "epoch": 6.060480530240265,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00022530671552032521,
+      "loss": 4.6095,
+      "mean_token_accuracy": 0.2231447860598564,
+      "num_tokens": 13333191.0,
+      "step": 7315
+    },
+    {
+      "entropy": 5.269006586074829,
+      "epoch": 6.064623032311516,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002249951007334693,
+      "loss": 4.6016,
+      "mean_token_accuracy": 0.21682012677192689,
+      "num_tokens": 13342911.0,
+      "step": 7320
+    },
+    {
+      "entropy": 5.313802003860474,
+      "epoch": 6.068765534382767,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00022468358681195966,
+      "loss": 4.5911,
+      "mean_token_accuracy": 0.2220294862985611,
+      "num_tokens": 13352464.0,
+      "step": 7325
+    },
+    {
+      "entropy": 5.279155349731445,
+      "epoch": 6.072908036454018,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00022437217438415393,
+      "loss": 4.5871,
+      "mean_token_accuracy": 0.22435862571001053,
+      "num_tokens": 13361812.0,
+      "step": 7330
+    },
+    {
+      "entropy": 5.328032398223877,
+      "epoch": 6.0770505385252696,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00022406086407820503,
+      "loss": 4.6541,
+      "mean_token_accuracy": 0.21680645495653153,
+      "num_tokens": 13372080.0,
+      "step": 7335
+    },
+    {
+      "entropy": 5.283897733688354,
+      "epoch": 6.081193040596521,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022374965652205975,
+      "loss": 4.6976,
+      "mean_token_accuracy": 0.20982298403978347,
+      "num_tokens": 13380897.0,
+      "step": 7340
+    },
+    {
+      "entropy": 5.338993167877197,
+      "epoch": 6.085335542667772,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022343855234345796,
+      "loss": 4.6891,
+      "mean_token_accuracy": 0.21388355493545533,
+      "num_tokens": 13389885.0,
+      "step": 7345
+    },
+    {
+      "entropy": 5.288727903366089,
+      "epoch": 6.089478044739022,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00022312755216993065,
+      "loss": 4.6211,
+      "mean_token_accuracy": 0.21839348524808883,
+      "num_tokens": 13399734.0,
+      "step": 7350
+    },
+    {
+      "entropy": 5.224732303619385,
+      "epoch": 6.093620546810273,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00022281665662879903,
+      "loss": 4.5653,
+      "mean_token_accuracy": 0.22080505937337874,
+      "num_tokens": 13408641.0,
+      "step": 7355
+    },
+    {
+      "entropy": 5.2608020305633545,
+      "epoch": 6.097763048881524,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00022250586634717362,
+      "loss": 4.6026,
+      "mean_token_accuracy": 0.21388103663921357,
+      "num_tokens": 13418585.0,
+      "step": 7360
+    },
+    {
+      "entropy": 5.244136095046997,
+      "epoch": 6.101905550952775,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00022219518195195216,
+      "loss": 4.5367,
+      "mean_token_accuracy": 0.22432616204023362,
+      "num_tokens": 13427897.0,
+      "step": 7365
+    },
+    {
+      "entropy": 5.131761312484741,
+      "epoch": 6.106048053024026,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00022188460406981925,
+      "loss": 4.4993,
+      "mean_token_accuracy": 0.22558098286390305,
+      "num_tokens": 13437311.0,
+      "step": 7370
+    },
+    {
+      "entropy": 5.284880685806274,
+      "epoch": 6.1101905550952775,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00022157413332724436,
+      "loss": 4.5608,
+      "mean_token_accuracy": 0.22710221409797668,
+      "num_tokens": 13446359.0,
+      "step": 7375
+    },
+    {
+      "entropy": 5.326997709274292,
+      "epoch": 6.114333057166529,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00022126377035048072,
+      "loss": 4.6056,
+      "mean_token_accuracy": 0.22011455297470092,
+      "num_tokens": 13455302.0,
+      "step": 7380
+    },
+    {
+      "entropy": 5.365768575668335,
+      "epoch": 6.11847555923778,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0002209535157655646,
+      "loss": 4.6937,
+      "mean_token_accuracy": 0.21688085198402404,
+      "num_tokens": 13466391.0,
+      "step": 7385
+    },
+    {
+      "entropy": 5.246037006378174,
+      "epoch": 6.122618061309031,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00022064337019831322,
+      "loss": 4.547,
+      "mean_token_accuracy": 0.22545033246278762,
+      "num_tokens": 13476130.0,
+      "step": 7390
+    },
+    {
+      "entropy": 5.183640670776367,
+      "epoch": 6.126760563380282,
+      "grad_norm": 1.6171875,
+      "learning_rate": 0.00022033333427432422,
+      "loss": 4.5326,
+      "mean_token_accuracy": 0.22769198417663575,
+      "num_tokens": 13485105.0,
+      "step": 7395
+    },
+    {
+      "entropy": 5.284799098968506,
+      "epoch": 6.130903065451533,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002200234086189738,
+      "loss": 4.5988,
+      "mean_token_accuracy": 0.21623703986406326,
+      "num_tokens": 13494914.0,
+      "step": 7400
+    },
+    {
+      "entropy": 5.291166830062866,
+      "epoch": 6.135045567522784,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00021971359385741608,
+      "loss": 4.6312,
+      "mean_token_accuracy": 0.21725507229566574,
+      "num_tokens": 13504293.0,
+      "step": 7405
+    },
+    {
+      "entropy": 5.350364637374878,
+      "epoch": 6.139188069594034,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00021940389061458115,
+      "loss": 4.6935,
+      "mean_token_accuracy": 0.22431259900331496,
+      "num_tokens": 13513972.0,
+      "step": 7410
+    },
+    {
+      "entropy": 5.278038835525512,
+      "epoch": 6.1433305716652855,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002190942995151743,
+      "loss": 4.6089,
+      "mean_token_accuracy": 0.2185722753405571,
+      "num_tokens": 13522508.0,
+      "step": 7415
+    },
+    {
+      "entropy": 5.296834516525268,
+      "epoch": 6.147473073736537,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0002187848211836746,
+      "loss": 4.53,
+      "mean_token_accuracy": 0.22915603816509247,
+      "num_tokens": 13531235.0,
+      "step": 7420
+    },
+    {
+      "entropy": 5.256722116470337,
+      "epoch": 6.151615575807788,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002184754562443337,
+      "loss": 4.5707,
+      "mean_token_accuracy": 0.22529171109199525,
+      "num_tokens": 13541023.0,
+      "step": 7425
+    },
+    {
+      "entropy": 5.217341756820678,
+      "epoch": 6.155758077879039,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00021816620532117448,
+      "loss": 4.5852,
+      "mean_token_accuracy": 0.2248647004365921,
+      "num_tokens": 13550622.0,
+      "step": 7430
+    },
+    {
+      "entropy": 5.230591440200806,
+      "epoch": 6.15990057995029,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002178570690379899,
+      "loss": 4.6031,
+      "mean_token_accuracy": 0.21641309708356857,
+      "num_tokens": 13559423.0,
+      "step": 7435
+    },
+    {
+      "entropy": 5.235513544082641,
+      "epoch": 6.164043082021541,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00021754804801834144,
+      "loss": 4.5917,
+      "mean_token_accuracy": 0.21699417978525162,
+      "num_tokens": 13569306.0,
+      "step": 7440
+    },
+    {
+      "entropy": 5.228752660751343,
+      "epoch": 6.168185584092792,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0002172391428855585,
+      "loss": 4.5366,
+      "mean_token_accuracy": 0.22735673934221268,
+      "num_tokens": 13578367.0,
+      "step": 7445
+    },
+    {
+      "entropy": 5.265543508529663,
+      "epoch": 6.172328086164043,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00021693035426273633,
+      "loss": 4.5986,
+      "mean_token_accuracy": 0.21967096477746964,
+      "num_tokens": 13586930.0,
+      "step": 7450
+    },
+    {
+      "entropy": 5.246473407745361,
+      "epoch": 6.176470588235294,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.00021662168277273547,
+      "loss": 4.5681,
+      "mean_token_accuracy": 0.22939085811376572,
+      "num_tokens": 13595891.0,
+      "step": 7455
+    },
+    {
+      "entropy": 5.319870328903198,
+      "epoch": 6.1806130903065455,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002163131290381799,
+      "loss": 4.6599,
+      "mean_token_accuracy": 0.20967274755239487,
+      "num_tokens": 13605786.0,
+      "step": 7460
+    },
+    {
+      "entropy": 5.238808870315552,
+      "epoch": 6.184755592377797,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00021600469368145624,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.2280669927597046,
+      "num_tokens": 13614561.0,
+      "step": 7465
+    },
+    {
+      "entropy": 5.226732301712036,
+      "epoch": 6.188898094449047,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002156963773247124,
+      "loss": 4.5554,
+      "mean_token_accuracy": 0.22617974877357483,
+      "num_tokens": 13622853.0,
+      "step": 7470
+    },
+    {
+      "entropy": 5.20526967048645,
+      "epoch": 6.193040596520298,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002153881805898561,
+      "loss": 4.5398,
+      "mean_token_accuracy": 0.22647101283073426,
+      "num_tokens": 13631709.0,
+      "step": 7475
+    },
+    {
+      "entropy": 5.293169021606445,
+      "epoch": 6.197183098591549,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.0002150801040985539,
+      "loss": 4.63,
+      "mean_token_accuracy": 0.21966254264116286,
+      "num_tokens": 13640854.0,
+      "step": 7480
+    },
+    {
+      "entropy": 5.218788433074951,
+      "epoch": 6.2013256006628,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00021477214847222958,
+      "loss": 4.5758,
+      "mean_token_accuracy": 0.21710532903671265,
+      "num_tokens": 13649318.0,
+      "step": 7485
+    },
+    {
+      "entropy": 5.315838146209717,
+      "epoch": 6.205468102734051,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00021446431433206348,
+      "loss": 4.6349,
+      "mean_token_accuracy": 0.22002605497837066,
+      "num_tokens": 13658738.0,
+      "step": 7490
+    },
+    {
+      "entropy": 5.187892484664917,
+      "epoch": 6.209610604805302,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002141566022989907,
+      "loss": 4.5484,
+      "mean_token_accuracy": 0.2262681856751442,
+      "num_tokens": 13667315.0,
+      "step": 7495
+    },
+    {
+      "entropy": 5.282585573196411,
+      "epoch": 6.2137531068765535,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002138490129936998,
+      "loss": 4.6721,
+      "mean_token_accuracy": 0.21348128467798233,
+      "num_tokens": 13676665.0,
+      "step": 7500
+    },
+    {
+      "epoch": 6.2137531068765535,
+      "eval_entropy": 5.127327098521088,
+      "eval_loss": 5.749592304229736,
+      "eval_mean_token_accuracy": 0.16626126474853772,
+      "eval_num_tokens": 13676665.0,
+      "eval_runtime": 2.7442,
+      "eval_samples_per_second": 1365.431,
+      "eval_steps_per_second": 170.907,
+      "step": 7500
+    },
+    {
+      "entropy": 5.220932197570801,
+      "epoch": 6.217895608947805,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0002135415470366323,
+      "loss": 4.6065,
+      "mean_token_accuracy": 0.21874047368764876,
+      "num_tokens": 13685774.0,
+      "step": 7505
+    },
+    {
+      "entropy": 5.261872863769531,
+      "epoch": 6.222038111019056,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00021323420504798047,
+      "loss": 4.6324,
+      "mean_token_accuracy": 0.21970156878232955,
+      "num_tokens": 13695700.0,
+      "step": 7510
+    },
+    {
+      "entropy": 5.301397752761841,
+      "epoch": 6.226180613090307,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021292698764768675,
+      "loss": 4.6432,
+      "mean_token_accuracy": 0.21851994693279267,
+      "num_tokens": 13704675.0,
+      "step": 7515
+    },
+    {
+      "entropy": 5.2542356014251705,
+      "epoch": 6.230323115161558,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00021261989545544218,
+      "loss": 4.6623,
+      "mean_token_accuracy": 0.22553315609693528,
+      "num_tokens": 13714562.0,
+      "step": 7520
+    },
+    {
+      "entropy": 5.318307209014892,
+      "epoch": 6.234465617232809,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00021231292909068534,
+      "loss": 4.6448,
+      "mean_token_accuracy": 0.22140212655067443,
+      "num_tokens": 13723917.0,
+      "step": 7525
+    },
+    {
+      "entropy": 5.254926586151123,
+      "epoch": 6.238608119304059,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00021200608917260082,
+      "loss": 4.5832,
+      "mean_token_accuracy": 0.22523251920938492,
+      "num_tokens": 13732482.0,
+      "step": 7530
+    },
+    {
+      "entropy": 5.272995328903198,
+      "epoch": 6.24275062137531,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00021169937632011838,
+      "loss": 4.6548,
+      "mean_token_accuracy": 0.2194363296031952,
+      "num_tokens": 13742110.0,
+      "step": 7535
+    },
+    {
+      "entropy": 5.238206005096435,
+      "epoch": 6.2468931234465614,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00021139279115191123,
+      "loss": 4.574,
+      "mean_token_accuracy": 0.21389349400997162,
+      "num_tokens": 13750501.0,
+      "step": 7540
+    },
+    {
+      "entropy": 5.236702632904053,
+      "epoch": 6.2510356255178126,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00021108633428639534,
+      "loss": 4.545,
+      "mean_token_accuracy": 0.22685909420251846,
+      "num_tokens": 13759786.0,
+      "step": 7545
+    },
+    {
+      "entropy": 5.279770469665527,
+      "epoch": 6.255178127589064,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002107800063417275,
+      "loss": 4.6241,
+      "mean_token_accuracy": 0.21795655339956282,
+      "num_tokens": 13768476.0,
+      "step": 7550
+    },
+    {
+      "entropy": 5.29005618095398,
+      "epoch": 6.259320629660315,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002104738079358048,
+      "loss": 4.6586,
+      "mean_token_accuracy": 0.20849181562662125,
+      "num_tokens": 13778721.0,
+      "step": 7555
+    },
+    {
+      "entropy": 5.281201648712158,
+      "epoch": 6.263463131731566,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002101677396862628,
+      "loss": 4.6196,
+      "mean_token_accuracy": 0.22399465888738632,
+      "num_tokens": 13787108.0,
+      "step": 7560
+    },
+    {
+      "entropy": 5.1881067752838135,
+      "epoch": 6.267605633802817,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00020986180221047463,
+      "loss": 4.5398,
+      "mean_token_accuracy": 0.23230253010988236,
+      "num_tokens": 13795021.0,
+      "step": 7565
+    },
+    {
+      "entropy": 5.190041732788086,
+      "epoch": 6.271748135874068,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00020955599612554966,
+      "loss": 4.5887,
+      "mean_token_accuracy": 0.2193624496459961,
+      "num_tokens": 13804750.0,
+      "step": 7570
+    },
+    {
+      "entropy": 5.2463373184204105,
+      "epoch": 6.275890637945319,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00020925032204833206,
+      "loss": 4.5784,
+      "mean_token_accuracy": 0.22109659761190414,
+      "num_tokens": 13813910.0,
+      "step": 7575
+    },
+    {
+      "entropy": 5.329188394546509,
+      "epoch": 6.28003314001657,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00020894478059539995,
+      "loss": 4.5427,
+      "mean_token_accuracy": 0.2241484045982361,
+      "num_tokens": 13822832.0,
+      "step": 7580
+    },
+    {
+      "entropy": 5.204854440689087,
+      "epoch": 6.284175642087821,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00020863937238306375,
+      "loss": 4.5541,
+      "mean_token_accuracy": 0.2280479699373245,
+      "num_tokens": 13831951.0,
+      "step": 7585
+    },
+    {
+      "entropy": 5.172011041641236,
+      "epoch": 6.2883181441590725,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00020833409802736535,
+      "loss": 4.524,
+      "mean_token_accuracy": 0.23316972702741623,
+      "num_tokens": 13840422.0,
+      "step": 7590
+    },
+    {
+      "entropy": 5.306167030334473,
+      "epoch": 6.292460646230323,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00020802895814407636,
+      "loss": 4.6365,
+      "mean_token_accuracy": 0.22030848115682602,
+      "num_tokens": 13850903.0,
+      "step": 7595
+    },
+    {
+      "entropy": 5.244341468811035,
+      "epoch": 6.296603148301574,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002077239533486972,
+      "loss": 4.6811,
+      "mean_token_accuracy": 0.20490736216306688,
+      "num_tokens": 13859972.0,
+      "step": 7600
+    },
+    {
+      "entropy": 5.235301160812378,
+      "epoch": 6.300745650372825,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00020741908425645606,
+      "loss": 4.658,
+      "mean_token_accuracy": 0.21515794545412065,
+      "num_tokens": 13868980.0,
+      "step": 7605
+    },
+    {
+      "entropy": 5.259301996231079,
+      "epoch": 6.304888152444076,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00020711435148230707,
+      "loss": 4.5874,
+      "mean_token_accuracy": 0.21832506507635116,
+      "num_tokens": 13877901.0,
+      "step": 7610
+    },
+    {
+      "entropy": 5.245576858520508,
+      "epoch": 6.309030654515327,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00020680975564092968,
+      "loss": 4.5697,
+      "mean_token_accuracy": 0.21962837278842925,
+      "num_tokens": 13887081.0,
+      "step": 7615
+    },
+    {
+      "entropy": 5.283494472503662,
+      "epoch": 6.313173156586578,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00020650529734672686,
+      "loss": 4.693,
+      "mean_token_accuracy": 0.21509333699941635,
+      "num_tokens": 13896645.0,
+      "step": 7620
+    },
+    {
+      "entropy": 5.340816831588745,
+      "epoch": 6.317315658657829,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00020620097721382424,
+      "loss": 4.6349,
+      "mean_token_accuracy": 0.21796356588602067,
+      "num_tokens": 13905975.0,
+      "step": 7625
+    },
+    {
+      "entropy": 5.3276678085327145,
+      "epoch": 6.3214581607290805,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0002058967958560689,
+      "loss": 4.6067,
+      "mean_token_accuracy": 0.22121513932943343,
+      "num_tokens": 13914605.0,
+      "step": 7630
+    },
+    {
+      "entropy": 5.256007862091065,
+      "epoch": 6.325600662800332,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00020559275388702775,
+      "loss": 4.5442,
+      "mean_token_accuracy": 0.23139581084251404,
+      "num_tokens": 13924592.0,
+      "step": 7635
+    },
+    {
+      "entropy": 5.187183284759522,
+      "epoch": 6.329743164871583,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00020528885191998682,
+      "loss": 4.5649,
+      "mean_token_accuracy": 0.22332944571971894,
+      "num_tokens": 13933513.0,
+      "step": 7640
+    },
+    {
+      "entropy": 5.1399694919586185,
+      "epoch": 6.333885666942834,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00020498509056794952,
+      "loss": 4.4652,
+      "mean_token_accuracy": 0.23895961940288543,
+      "num_tokens": 13942173.0,
+      "step": 7645
+    },
+    {
+      "entropy": 5.177120351791382,
+      "epoch": 6.338028169014084,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00020468147044363556,
+      "loss": 4.4955,
+      "mean_token_accuracy": 0.22771447747945786,
+      "num_tokens": 13950205.0,
+      "step": 7650
+    },
+    {
+      "entropy": 5.22398190498352,
+      "epoch": 6.342170671085335,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00020437799215948017,
+      "loss": 4.5753,
+      "mean_token_accuracy": 0.22749822586774826,
+      "num_tokens": 13958956.0,
+      "step": 7655
+    },
+    {
+      "entropy": 5.209628582000732,
+      "epoch": 6.346313173156586,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002040746563276319,
+      "loss": 4.5665,
+      "mean_token_accuracy": 0.22033885568380357,
+      "num_tokens": 13967718.0,
+      "step": 7660
+    },
+    {
+      "entropy": 5.235432434082031,
+      "epoch": 6.350455675227837,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00020377146355995257,
+      "loss": 4.6617,
+      "mean_token_accuracy": 0.21480744183063508,
+      "num_tokens": 13976841.0,
+      "step": 7665
+    },
+    {
+      "entropy": 5.287872982025147,
+      "epoch": 6.3545981772990885,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00020346841446801495,
+      "loss": 4.5404,
+      "mean_token_accuracy": 0.22639259397983552,
+      "num_tokens": 13984946.0,
+      "step": 7670
+    },
+    {
+      "entropy": 5.257662773132324,
+      "epoch": 6.35874067937034,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00020316550966310222,
+      "loss": 4.6067,
+      "mean_token_accuracy": 0.21685410737991334,
+      "num_tokens": 13993521.0,
+      "step": 7675
+    },
+    {
+      "entropy": 5.183994293212891,
+      "epoch": 6.362883181441591,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002028627497562065,
+      "loss": 4.5771,
+      "mean_token_accuracy": 0.2181665539741516,
+      "num_tokens": 14002777.0,
+      "step": 7680
+    },
+    {
+      "entropy": 5.246474266052246,
+      "epoch": 6.367025683512842,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00020256013535802748,
+      "loss": 4.6261,
+      "mean_token_accuracy": 0.21209287494421006,
+      "num_tokens": 14012708.0,
+      "step": 7685
+    },
+    {
+      "entropy": 5.28727445602417,
+      "epoch": 6.371168185584093,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002022576670789717,
+      "loss": 4.6394,
+      "mean_token_accuracy": 0.2155505269765854,
+      "num_tokens": 14021088.0,
+      "step": 7690
+    },
+    {
+      "entropy": 5.280440044403076,
+      "epoch": 6.375310687655344,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002019553455291505,
+      "loss": 4.6378,
+      "mean_token_accuracy": 0.21615593284368514,
+      "num_tokens": 14031650.0,
+      "step": 7695
+    },
+    {
+      "entropy": 5.240458631515503,
+      "epoch": 6.379453189726595,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002016531713183797,
+      "loss": 4.6676,
+      "mean_token_accuracy": 0.21988083124160768,
+      "num_tokens": 14040741.0,
+      "step": 7700
+    },
+    {
+      "entropy": 5.242792797088623,
+      "epoch": 6.383595691797846,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00020135114505617752,
+      "loss": 4.6373,
+      "mean_token_accuracy": 0.2093031659722328,
+      "num_tokens": 14049913.0,
+      "step": 7705
+    },
+    {
+      "entropy": 5.277075576782226,
+      "epoch": 6.387738193869097,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00020104926735176393,
+      "loss": 4.5918,
+      "mean_token_accuracy": 0.22735825777053834,
+      "num_tokens": 14059583.0,
+      "step": 7710
+    },
+    {
+      "entropy": 5.327569150924683,
+      "epoch": 6.391880695940348,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00020074753881405949,
+      "loss": 4.5526,
+      "mean_token_accuracy": 0.22584011256694794,
+      "num_tokens": 14067376.0,
+      "step": 7715
+    },
+    {
+      "entropy": 5.247530269622803,
+      "epoch": 6.396023198011599,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002004459600516833,
+      "loss": 4.6272,
+      "mean_token_accuracy": 0.22265007048845292,
+      "num_tokens": 14076415.0,
+      "step": 7720
+    },
+    {
+      "entropy": 5.252097845077515,
+      "epoch": 6.40016570008285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00020014453167295298,
+      "loss": 4.6191,
+      "mean_token_accuracy": 0.21771289706230162,
+      "num_tokens": 14085418.0,
+      "step": 7725
+    },
+    {
+      "entropy": 5.246077394485473,
+      "epoch": 6.404308202154101,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00019984325428588229,
+      "loss": 4.6022,
+      "mean_token_accuracy": 0.22459561228752137,
+      "num_tokens": 14094454.0,
+      "step": 7730
+    },
+    {
+      "entropy": 5.269437408447265,
+      "epoch": 6.408450704225352,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00019954212849818077,
+      "loss": 4.5397,
+      "mean_token_accuracy": 0.23432922810316087,
+      "num_tokens": 14103611.0,
+      "step": 7735
+    },
+    {
+      "entropy": 5.17622013092041,
+      "epoch": 6.412593206296603,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00019924115491725197,
+      "loss": 4.4661,
+      "mean_token_accuracy": 0.23387826085090638,
+      "num_tokens": 14112145.0,
+      "step": 7740
+    },
+    {
+      "entropy": 5.237372732162475,
+      "epoch": 6.416735708367854,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019894033415019253,
+      "loss": 4.6056,
+      "mean_token_accuracy": 0.2221802607178688,
+      "num_tokens": 14121215.0,
+      "step": 7745
+    },
+    {
+      "entropy": 5.171102142333984,
+      "epoch": 6.420878210439105,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019863966680379086,
+      "loss": 4.4967,
+      "mean_token_accuracy": 0.22152459472417832,
+      "num_tokens": 14130106.0,
+      "step": 7750
+    },
+    {
+      "entropy": 5.18139157295227,
+      "epoch": 6.4250207125103564,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0001983391534845258,
+      "loss": 4.5424,
+      "mean_token_accuracy": 0.2322377920150757,
+      "num_tokens": 14139071.0,
+      "step": 7755
+    },
+    {
+      "entropy": 5.224069595336914,
+      "epoch": 6.4291632145816076,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00019803879479856547,
+      "loss": 4.5974,
+      "mean_token_accuracy": 0.21825987547636033,
+      "num_tokens": 14148018.0,
+      "step": 7760
+    },
+    {
+      "entropy": 5.2009124755859375,
+      "epoch": 6.433305716652859,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019773859135176626,
+      "loss": 4.5285,
+      "mean_token_accuracy": 0.21998629420995713,
+      "num_tokens": 14156369.0,
+      "step": 7765
+    },
+    {
+      "entropy": 5.215542888641357,
+      "epoch": 6.43744821872411,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001974385437496713,
+      "loss": 4.6106,
+      "mean_token_accuracy": 0.21984836757183074,
+      "num_tokens": 14165930.0,
+      "step": 7770
+    },
+    {
+      "entropy": 5.2183332443237305,
+      "epoch": 6.44159072079536,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00019713865259750945,
+      "loss": 4.5777,
+      "mean_token_accuracy": 0.228591625392437,
+      "num_tokens": 14175557.0,
+      "step": 7775
+    },
+    {
+      "entropy": 5.288492584228516,
+      "epoch": 6.445733222866611,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019683891850019391,
+      "loss": 4.65,
+      "mean_token_accuracy": 0.2170352444052696,
+      "num_tokens": 14185532.0,
+      "step": 7780
+    },
+    {
+      "entropy": 5.372134733200073,
+      "epoch": 6.449875724937862,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00019653934206232098,
+      "loss": 4.7328,
+      "mean_token_accuracy": 0.21203465312719344,
+      "num_tokens": 14194307.0,
+      "step": 7785
+    },
+    {
+      "entropy": 5.317110586166382,
+      "epoch": 6.454018227009113,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00019623992388816935,
+      "loss": 4.6817,
+      "mean_token_accuracy": 0.22098743617534639,
+      "num_tokens": 14203900.0,
+      "step": 7790
+    },
+    {
+      "entropy": 5.264908695220948,
+      "epoch": 6.458160729080364,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0001959406645816979,
+      "loss": 4.604,
+      "mean_token_accuracy": 0.22145358771085738,
+      "num_tokens": 14213232.0,
+      "step": 7795
+    },
+    {
+      "entropy": 5.2155252456665036,
+      "epoch": 6.4623032311516155,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00019564156474654554,
+      "loss": 4.545,
+      "mean_token_accuracy": 0.21945291459560395,
+      "num_tokens": 14221365.0,
+      "step": 7800
+    },
+    {
+      "entropy": 5.183708381652832,
+      "epoch": 6.466445733222867,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00019534262498602928,
+      "loss": 4.5722,
+      "mean_token_accuracy": 0.21912614554166793,
+      "num_tokens": 14229878.0,
+      "step": 7805
+    },
+    {
+      "entropy": 5.247611427307129,
+      "epoch": 6.470588235294118,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00019504384590314318,
+      "loss": 4.6163,
+      "mean_token_accuracy": 0.21504329293966293,
+      "num_tokens": 14239132.0,
+      "step": 7810
+    },
+    {
+      "entropy": 5.27608289718628,
+      "epoch": 6.474730737365369,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.00019474522810055745,
+      "loss": 4.6315,
+      "mean_token_accuracy": 0.22245015799999238,
+      "num_tokens": 14247116.0,
+      "step": 7815
+    },
+    {
+      "entropy": 5.237215900421143,
+      "epoch": 6.47887323943662,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00019444677218061673,
+      "loss": 4.5876,
+      "mean_token_accuracy": 0.22378402203321457,
+      "num_tokens": 14255423.0,
+      "step": 7820
+    },
+    {
+      "entropy": 5.22880802154541,
+      "epoch": 6.483015741507871,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.0001941484787453393,
+      "loss": 4.5576,
+      "mean_token_accuracy": 0.22750293612480163,
+      "num_tokens": 14263836.0,
+      "step": 7825
+    },
+    {
+      "entropy": 5.1975545406341555,
+      "epoch": 6.487158243579122,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00019385034839641558,
+      "loss": 4.6818,
+      "mean_token_accuracy": 0.21816913187503814,
+      "num_tokens": 14273460.0,
+      "step": 7830
+    },
+    {
+      "entropy": 5.288527727127075,
+      "epoch": 6.491300745650372,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001935523817352071,
+      "loss": 4.6991,
+      "mean_token_accuracy": 0.21707435250282286,
+      "num_tokens": 14282925.0,
+      "step": 7835
+    },
+    {
+      "entropy": 5.283282852172851,
+      "epoch": 6.4954432477216235,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019325457936274516,
+      "loss": 4.5817,
+      "mean_token_accuracy": 0.22622769176959992,
+      "num_tokens": 14292059.0,
+      "step": 7840
+    },
+    {
+      "entropy": 5.274545192718506,
+      "epoch": 6.499585749792875,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00019295694187972955,
+      "loss": 4.6371,
+      "mean_token_accuracy": 0.2125675469636917,
+      "num_tokens": 14301276.0,
+      "step": 7845
+    },
+    {
+      "entropy": 5.247177505493164,
+      "epoch": 6.503728251864126,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019265946988652783,
+      "loss": 4.6386,
+      "mean_token_accuracy": 0.21370143294334412,
+      "num_tokens": 14310259.0,
+      "step": 7850
+    },
+    {
+      "entropy": 5.227504730224609,
+      "epoch": 6.507870753935377,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0001923621639831733,
+      "loss": 4.5105,
+      "mean_token_accuracy": 0.22504902780056,
+      "num_tokens": 14318782.0,
+      "step": 7855
+    },
+    {
+      "entropy": 5.173471689224243,
+      "epoch": 6.512013256006628,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00019206502476936467,
+      "loss": 4.4963,
+      "mean_token_accuracy": 0.23206298500299455,
+      "num_tokens": 14327571.0,
+      "step": 7860
+    },
+    {
+      "entropy": 5.135555934906006,
+      "epoch": 6.516155758077879,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00019176805284446414,
+      "loss": 4.5319,
+      "mean_token_accuracy": 0.23313156962394715,
+      "num_tokens": 14336974.0,
+      "step": 7865
+    },
+    {
+      "entropy": 5.291125202178955,
+      "epoch": 6.52029826014913,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00019147124880749633,
+      "loss": 4.6926,
+      "mean_token_accuracy": 0.218401962518692,
+      "num_tokens": 14346367.0,
+      "step": 7870
+    },
+    {
+      "entropy": 5.287627267837524,
+      "epoch": 6.524440762220381,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00019117461325714768,
+      "loss": 4.6304,
+      "mean_token_accuracy": 0.22132983505725862,
+      "num_tokens": 14355641.0,
+      "step": 7875
+    },
+    {
+      "entropy": 5.246808195114136,
+      "epoch": 6.528583264291632,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019087814679176436,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.22451686710119248,
+      "num_tokens": 14364927.0,
+      "step": 7880
+    },
+    {
+      "entropy": 5.234672212600708,
+      "epoch": 6.5327257663628835,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019058185000935175,
+      "loss": 4.5399,
+      "mean_token_accuracy": 0.22587109208106995,
+      "num_tokens": 14373370.0,
+      "step": 7885
+    },
+    {
+      "entropy": 5.254017162322998,
+      "epoch": 6.536868268434135,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00019028572350757278,
+      "loss": 4.6124,
+      "mean_token_accuracy": 0.21654532849788666,
+      "num_tokens": 14381820.0,
+      "step": 7890
+    },
+    {
+      "entropy": 5.2422840118408205,
+      "epoch": 6.541010770505386,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018998976788374682,
+      "loss": 4.5875,
+      "mean_token_accuracy": 0.21863880306482314,
+      "num_tokens": 14391158.0,
+      "step": 7895
+    },
+    {
+      "entropy": 5.201485252380371,
+      "epoch": 6.545153272576636,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00018969398373484898,
+      "loss": 4.6299,
+      "mean_token_accuracy": 0.21829961985349655,
+      "num_tokens": 14399945.0,
+      "step": 7900
+    },
+    {
+      "entropy": 5.200627136230469,
+      "epoch": 6.549295774647887,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00018939837165750796,
+      "loss": 4.5447,
+      "mean_token_accuracy": 0.22442623525857924,
+      "num_tokens": 14410275.0,
+      "step": 7905
+    },
+    {
+      "entropy": 5.29403018951416,
+      "epoch": 6.553438276719138,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00018910293224800584,
+      "loss": 4.6482,
+      "mean_token_accuracy": 0.2173393338918686,
+      "num_tokens": 14420369.0,
+      "step": 7910
+    },
+    {
+      "entropy": 5.291232109069824,
+      "epoch": 6.557580778790389,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00018880766610227608,
+      "loss": 4.6234,
+      "mean_token_accuracy": 0.22409190386533737,
+      "num_tokens": 14429078.0,
+      "step": 7915
+    },
+    {
+      "entropy": 5.234523487091065,
+      "epoch": 6.56172328086164,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018851257381590264,
+      "loss": 4.5824,
+      "mean_token_accuracy": 0.22088503539562226,
+      "num_tokens": 14438920.0,
+      "step": 7920
+    },
+    {
+      "entropy": 5.292790508270263,
+      "epoch": 6.5658657829328915,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018821765598411917,
+      "loss": 4.7699,
+      "mean_token_accuracy": 0.20645501464605331,
+      "num_tokens": 14449164.0,
+      "step": 7925
+    },
+    {
+      "entropy": 5.241003036499023,
+      "epoch": 6.570008285004143,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00018792291320180693,
+      "loss": 4.6977,
+      "mean_token_accuracy": 0.2070661887526512,
+      "num_tokens": 14459418.0,
+      "step": 7930
+    },
+    {
+      "entropy": 5.294680643081665,
+      "epoch": 6.574150787075394,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00018762834606349455,
+      "loss": 4.5906,
+      "mean_token_accuracy": 0.22685577124357223,
+      "num_tokens": 14468691.0,
+      "step": 7935
+    },
+    {
+      "entropy": 5.322669315338135,
+      "epoch": 6.578293289146645,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00018733395516335588,
+      "loss": 4.6731,
+      "mean_token_accuracy": 0.21569546610116958,
+      "num_tokens": 14477936.0,
+      "step": 7940
+    },
+    {
+      "entropy": 5.285602855682373,
+      "epoch": 6.582435791217896,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00018703974109520976,
+      "loss": 4.6442,
+      "mean_token_accuracy": 0.22226325422525406,
+      "num_tokens": 14487191.0,
+      "step": 7945
+    },
+    {
+      "entropy": 5.2095410346984865,
+      "epoch": 6.586578293289147,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018674570445251798,
+      "loss": 4.566,
+      "mean_token_accuracy": 0.2255881741642952,
+      "num_tokens": 14495731.0,
+      "step": 7950
+    },
+    {
+      "entropy": 5.200072622299194,
+      "epoch": 6.590720795360397,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018645184582838465,
+      "loss": 4.5668,
+      "mean_token_accuracy": 0.22047847658395767,
+      "num_tokens": 14505009.0,
+      "step": 7955
+    },
+    {
+      "entropy": 5.211784410476684,
+      "epoch": 6.594863297431648,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00018615816581555466,
+      "loss": 4.614,
+      "mean_token_accuracy": 0.21996732503175737,
+      "num_tokens": 14513843.0,
+      "step": 7960
+    },
+    {
+      "entropy": 5.188229322433472,
+      "epoch": 6.5990057995028994,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0001858646650064128,
+      "loss": 4.6074,
+      "mean_token_accuracy": 0.22044946551322936,
+      "num_tokens": 14523405.0,
+      "step": 7965
+    },
+    {
+      "entropy": 5.254159069061279,
+      "epoch": 6.603148301574151,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018557134399298215,
+      "loss": 4.6781,
+      "mean_token_accuracy": 0.21682086437940598,
+      "num_tokens": 14532615.0,
+      "step": 7970
+    },
+    {
+      "entropy": 5.2646036624908445,
+      "epoch": 6.607290803645402,
+      "grad_norm": 1.671875,
+      "learning_rate": 0.0001852782033669233,
+      "loss": 4.6101,
+      "mean_token_accuracy": 0.22458707094192504,
+      "num_tokens": 14541297.0,
+      "step": 7975
+    },
+    {
+      "entropy": 5.216501903533936,
+      "epoch": 6.611433305716653,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00018498524371953295,
+      "loss": 4.556,
+      "mean_token_accuracy": 0.22257563024759291,
+      "num_tokens": 14549867.0,
+      "step": 7980
+    },
+    {
+      "entropy": 5.22313437461853,
+      "epoch": 6.615575807787904,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018469246564174275,
+      "loss": 4.6508,
+      "mean_token_accuracy": 0.20906404107809068,
+      "num_tokens": 14558708.0,
+      "step": 7985
+    },
+    {
+      "entropy": 5.215989065170288,
+      "epoch": 6.619718309859155,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.000184399869724118,
+      "loss": 4.648,
+      "mean_token_accuracy": 0.21317926198244094,
+      "num_tokens": 14567917.0,
+      "step": 7990
+    },
+    {
+      "entropy": 5.194528484344483,
+      "epoch": 6.623860811930406,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00018410745655685662,
+      "loss": 4.5161,
+      "mean_token_accuracy": 0.23143290728330612,
+      "num_tokens": 14576417.0,
+      "step": 7995
+    },
+    {
+      "entropy": 5.19383282661438,
+      "epoch": 6.628003314001657,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00018381522672978806,
+      "loss": 4.5967,
+      "mean_token_accuracy": 0.2205110549926758,
+      "num_tokens": 14585172.0,
+      "step": 8000
+    },
+    {
+      "epoch": 6.628003314001657,
+      "eval_entropy": 5.144060653409978,
+      "eval_loss": 5.7370734214782715,
+      "eval_mean_token_accuracy": 0.1679431346020719,
+      "eval_num_tokens": 14585172.0,
+      "eval_runtime": 2.746,
+      "eval_samples_per_second": 1364.549,
+      "eval_steps_per_second": 170.796,
+      "step": 8000
+    },
+    {
+      "entropy": 5.2945750713348385,
+      "epoch": 6.632145816072908,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00018352318083237167,
+      "loss": 4.6209,
+      "mean_token_accuracy": 0.21357694566249846,
+      "num_tokens": 14593758.0,
+      "step": 8005
+    },
+    {
+      "entropy": 5.269504880905151,
+      "epoch": 6.636288318144159,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00018323131945369603,
+      "loss": 4.5957,
+      "mean_token_accuracy": 0.2212613955140114,
+      "num_tokens": 14602558.0,
+      "step": 8010
+    },
+    {
+      "entropy": 5.292761898040771,
+      "epoch": 6.6404308202154105,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00018293964318247735,
+      "loss": 4.5895,
+      "mean_token_accuracy": 0.22187672108411788,
+      "num_tokens": 14611463.0,
+      "step": 8015
+    },
+    {
+      "entropy": 5.268460607528686,
+      "epoch": 6.644573322286661,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00018264815260705863,
+      "loss": 4.6303,
+      "mean_token_accuracy": 0.22261828631162645,
+      "num_tokens": 14619951.0,
+      "step": 8020
+    },
+    {
+      "entropy": 5.312491035461425,
+      "epoch": 6.648715824357912,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00018235684831540826,
+      "loss": 4.6601,
+      "mean_token_accuracy": 0.2227204129099846,
+      "num_tokens": 14629332.0,
+      "step": 8025
+    },
+    {
+      "entropy": 5.215784406661987,
+      "epoch": 6.652858326429163,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018206573089511862,
+      "loss": 4.6116,
+      "mean_token_accuracy": 0.22559183984994888,
+      "num_tokens": 14639010.0,
+      "step": 8030
+    },
+    {
+      "entropy": 5.217174816131592,
+      "epoch": 6.657000828500414,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00018177480093340564,
+      "loss": 4.644,
+      "mean_token_accuracy": 0.2131648376584053,
+      "num_tokens": 14648507.0,
+      "step": 8035
+    },
+    {
+      "entropy": 5.26403660774231,
+      "epoch": 6.661143330571665,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0001814840590171065,
+      "loss": 4.6395,
+      "mean_token_accuracy": 0.216891747713089,
+      "num_tokens": 14657892.0,
+      "step": 8040
+    },
+    {
+      "entropy": 5.276500272750854,
+      "epoch": 6.665285832642916,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018119350573267979,
+      "loss": 4.5962,
+      "mean_token_accuracy": 0.22690920978784562,
+      "num_tokens": 14666460.0,
+      "step": 8045
+    },
+    {
+      "entropy": 5.25149884223938,
+      "epoch": 6.669428334714167,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018090314166620302,
+      "loss": 4.5902,
+      "mean_token_accuracy": 0.2189852774143219,
+      "num_tokens": 14675046.0,
+      "step": 8050
+    },
+    {
+      "entropy": 5.219921970367432,
+      "epoch": 6.6735708367854185,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018061296740337225,
+      "loss": 4.6258,
+      "mean_token_accuracy": 0.2165866807103157,
+      "num_tokens": 14685055.0,
+      "step": 8055
+    },
+    {
+      "entropy": 5.248022747039795,
+      "epoch": 6.67771333885667,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00018032298352950077,
+      "loss": 4.5972,
+      "mean_token_accuracy": 0.2188133031129837,
+      "num_tokens": 14695371.0,
+      "step": 8060
+    },
+    {
+      "entropy": 5.225955820083618,
+      "epoch": 6.681855840927921,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00018003319062951756,
+      "loss": 4.569,
+      "mean_token_accuracy": 0.2223624899983406,
+      "num_tokens": 14703671.0,
+      "step": 8065
+    },
+    {
+      "entropy": 5.195835924148559,
+      "epoch": 6.685998342999172,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00017974358928796682,
+      "loss": 4.5951,
+      "mean_token_accuracy": 0.22712722718715667,
+      "num_tokens": 14712527.0,
+      "step": 8070
+    },
+    {
+      "entropy": 5.231344604492188,
+      "epoch": 6.690140845070422,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00017945418008900594,
+      "loss": 4.6311,
+      "mean_token_accuracy": 0.22212356179952622,
+      "num_tokens": 14720711.0,
+      "step": 8075
+    },
+    {
+      "entropy": 5.25670371055603,
+      "epoch": 6.694283347141674,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0001791649636164049,
+      "loss": 4.6664,
+      "mean_token_accuracy": 0.21566284000873565,
+      "num_tokens": 14729667.0,
+      "step": 8080
+    },
+    {
+      "entropy": 5.32373685836792,
+      "epoch": 6.698425849212924,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000178875940453545,
+      "loss": 4.612,
+      "mean_token_accuracy": 0.2260928839445114,
+      "num_tokens": 14738614.0,
+      "step": 8085
+    },
+    {
+      "entropy": 5.285801553726197,
+      "epoch": 6.702568351284175,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00017858711118341742,
+      "loss": 4.611,
+      "mean_token_accuracy": 0.22119891494512559,
+      "num_tokens": 14747724.0,
+      "step": 8090
+    },
+    {
+      "entropy": 5.189185285568238,
+      "epoch": 6.7067108533554265,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00017829847638862255,
+      "loss": 4.5783,
+      "mean_token_accuracy": 0.22308655232191085,
+      "num_tokens": 14757436.0,
+      "step": 8095
+    },
+    {
+      "entropy": 5.163452911376953,
+      "epoch": 6.710853355426678,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00017801003665136823,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.22859434187412261,
+      "num_tokens": 14765948.0,
+      "step": 8100
+    },
+    {
+      "entropy": 5.2175110340118405,
+      "epoch": 6.714995857497929,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00017772179255346883,
+      "loss": 4.5924,
+      "mean_token_accuracy": 0.21859526336193086,
+      "num_tokens": 14775397.0,
+      "step": 8105
+    },
+    {
+      "entropy": 5.2649805545806885,
+      "epoch": 6.71913835956918,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00017743374467634433,
+      "loss": 4.5547,
+      "mean_token_accuracy": 0.22480292171239852,
+      "num_tokens": 14783605.0,
+      "step": 8110
+    },
+    {
+      "entropy": 5.262083387374878,
+      "epoch": 6.723280861640431,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00017714589360101862,
+      "loss": 4.6719,
+      "mean_token_accuracy": 0.2111577272415161,
+      "num_tokens": 14792210.0,
+      "step": 8115
+    },
+    {
+      "entropy": 5.165537548065186,
+      "epoch": 6.727423363711682,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000176858239908119,
+      "loss": 4.5663,
+      "mean_token_accuracy": 0.21831904202699662,
+      "num_tokens": 14801186.0,
+      "step": 8120
+    },
+    {
+      "entropy": 5.171479225158691,
+      "epoch": 6.731565865782933,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00017657078417787414,
+      "loss": 4.5126,
+      "mean_token_accuracy": 0.2303812935948372,
+      "num_tokens": 14810100.0,
+      "step": 8125
+    },
+    {
+      "entropy": 5.1626139163970945,
+      "epoch": 6.735708367854184,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017628352699011396,
+      "loss": 4.4932,
+      "mean_token_accuracy": 0.22342629581689835,
+      "num_tokens": 14819335.0,
+      "step": 8130
+    },
+    {
+      "entropy": 5.184713125228882,
+      "epoch": 6.739850869925435,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001759964689242674,
+      "loss": 4.6115,
+      "mean_token_accuracy": 0.22678097039461137,
+      "num_tokens": 14828686.0,
+      "step": 8135
+    },
+    {
+      "entropy": 5.233674144744873,
+      "epoch": 6.743993371996686,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001757096105593619,
+      "loss": 4.6202,
+      "mean_token_accuracy": 0.21709106266498565,
+      "num_tokens": 14838312.0,
+      "step": 8140
+    },
+    {
+      "entropy": 5.149096870422364,
+      "epoch": 6.748135874067937,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00017542295247402234,
+      "loss": 4.5595,
+      "mean_token_accuracy": 0.22249870449304582,
+      "num_tokens": 14846838.0,
+      "step": 8145
+    },
+    {
+      "entropy": 5.202677154541016,
+      "epoch": 6.752278376139188,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00017513649524646919,
+      "loss": 4.6182,
+      "mean_token_accuracy": 0.21352985352277756,
+      "num_tokens": 14857427.0,
+      "step": 8150
+    },
+    {
+      "entropy": 5.231053304672241,
+      "epoch": 6.756420878210439,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001748502394545181,
+      "loss": 4.6142,
+      "mean_token_accuracy": 0.2143697887659073,
+      "num_tokens": 14866244.0,
+      "step": 8155
+    },
+    {
+      "entropy": 5.2318687915802,
+      "epoch": 6.76056338028169,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001745641856755783,
+      "loss": 4.6272,
+      "mean_token_accuracy": 0.2168770670890808,
+      "num_tokens": 14875697.0,
+      "step": 8160
+    },
+    {
+      "entropy": 5.213436222076416,
+      "epoch": 6.764705882352941,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00017427833448665136,
+      "loss": 4.6431,
+      "mean_token_accuracy": 0.22060779482126236,
+      "num_tokens": 14884650.0,
+      "step": 8165
+    },
+    {
+      "entropy": 5.221727609634399,
+      "epoch": 6.768848384424192,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00017399268646433065,
+      "loss": 4.5726,
+      "mean_token_accuracy": 0.22035471200942994,
+      "num_tokens": 14894058.0,
+      "step": 8170
+    },
+    {
+      "entropy": 5.291379785537719,
+      "epoch": 6.772990886495443,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00017370724218479912,
+      "loss": 4.6928,
+      "mean_token_accuracy": 0.21716551035642623,
+      "num_tokens": 14903219.0,
+      "step": 8175
+    },
+    {
+      "entropy": 5.280435705184937,
+      "epoch": 6.7771333885666944,
+      "grad_norm": 1.5234375,
+      "learning_rate": 0.00017342200222382934,
+      "loss": 4.6104,
+      "mean_token_accuracy": 0.21606069803237915,
+      "num_tokens": 14913051.0,
+      "step": 8180
+    },
+    {
+      "entropy": 5.284905195236206,
+      "epoch": 6.781275890637946,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00017313696715678134,
+      "loss": 4.6263,
+      "mean_token_accuracy": 0.2211444079875946,
+      "num_tokens": 14921777.0,
+      "step": 8185
+    },
+    {
+      "entropy": 5.336038494110108,
+      "epoch": 6.785418392709197,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.000172852137558602,
+      "loss": 4.7612,
+      "mean_token_accuracy": 0.20792590975761413,
+      "num_tokens": 14931558.0,
+      "step": 8190
+    },
+    {
+      "entropy": 5.2495917797088625,
+      "epoch": 6.789560894780448,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00017256751400382384,
+      "loss": 4.6749,
+      "mean_token_accuracy": 0.2186842069029808,
+      "num_tokens": 14940584.0,
+      "step": 8195
+    },
+    {
+      "entropy": 5.260048294067383,
+      "epoch": 6.793703396851699,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00017228309706656354,
+      "loss": 4.6003,
+      "mean_token_accuracy": 0.2234319806098938,
+      "num_tokens": 14950830.0,
+      "step": 8200
+    },
+    {
+      "entropy": 5.309694099426269,
+      "epoch": 6.797845898922949,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001719988873205213,
+      "loss": 4.6046,
+      "mean_token_accuracy": 0.2206121563911438,
+      "num_tokens": 14958990.0,
+      "step": 8205
+    },
+    {
+      "entropy": 5.258207225799561,
+      "epoch": 6.8019884009942,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00017171488533897916,
+      "loss": 4.6389,
+      "mean_token_accuracy": 0.216607928276062,
+      "num_tokens": 14967451.0,
+      "step": 8210
+    },
+    {
+      "entropy": 5.220820093154908,
+      "epoch": 6.806130903065451,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00017143109169480005,
+      "loss": 4.5703,
+      "mean_token_accuracy": 0.2230973109602928,
+      "num_tokens": 14976157.0,
+      "step": 8215
+    },
+    {
+      "entropy": 5.277642917633057,
+      "epoch": 6.810273405136702,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017114750696042695,
+      "loss": 4.6916,
+      "mean_token_accuracy": 0.211100971698761,
+      "num_tokens": 14985591.0,
+      "step": 8220
+    },
+    {
+      "entropy": 5.277077102661133,
+      "epoch": 6.8144159072079535,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00017086413170788107,
+      "loss": 4.5868,
+      "mean_token_accuracy": 0.22545621395111085,
+      "num_tokens": 14994513.0,
+      "step": 8225
+    },
+    {
+      "entropy": 5.249056625366211,
+      "epoch": 6.818558409279205,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00017058096650876143,
+      "loss": 4.6555,
+      "mean_token_accuracy": 0.21752652078866958,
+      "num_tokens": 15003252.0,
+      "step": 8230
+    },
+    {
+      "entropy": 5.268651342391967,
+      "epoch": 6.822700911350456,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017029801193424313,
+      "loss": 4.5678,
+      "mean_token_accuracy": 0.21832710206508638,
+      "num_tokens": 15012342.0,
+      "step": 8235
+    },
+    {
+      "entropy": 5.17280683517456,
+      "epoch": 6.826843413421707,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017001526855507632,
+      "loss": 4.5248,
+      "mean_token_accuracy": 0.22667909115552903,
+      "num_tokens": 15021336.0,
+      "step": 8240
+    },
+    {
+      "entropy": 5.232009410858154,
+      "epoch": 6.830985915492958,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00016973273694158555,
+      "loss": 4.5752,
+      "mean_token_accuracy": 0.21583533883094788,
+      "num_tokens": 15031016.0,
+      "step": 8245
+    },
+    {
+      "entropy": 5.281693077087402,
+      "epoch": 6.835128417564209,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00016945041766366773,
+      "loss": 4.5846,
+      "mean_token_accuracy": 0.22162794917821885,
+      "num_tokens": 15039181.0,
+      "step": 8250
+    },
+    {
+      "entropy": 5.255547618865966,
+      "epoch": 6.83927091963546,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00016916831129079187,
+      "loss": 4.647,
+      "mean_token_accuracy": 0.2128545254468918,
+      "num_tokens": 15048563.0,
+      "step": 8255
+    },
+    {
+      "entropy": 5.248698711395264,
+      "epoch": 6.84341342170671,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001688864183919973,
+      "loss": 4.5936,
+      "mean_token_accuracy": 0.22442127764225006,
+      "num_tokens": 15056960.0,
+      "step": 8260
+    },
+    {
+      "entropy": 5.307019329071045,
+      "epoch": 6.8475559237779615,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00016860473953589266,
+      "loss": 4.6347,
+      "mean_token_accuracy": 0.21388418227434158,
+      "num_tokens": 15065645.0,
+      "step": 8265
+    },
+    {
+      "entropy": 5.223530387878418,
+      "epoch": 6.851698425849213,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00016832327529065522,
+      "loss": 4.5822,
+      "mean_token_accuracy": 0.22318441718816756,
+      "num_tokens": 15074544.0,
+      "step": 8270
+    },
+    {
+      "entropy": 5.267363739013672,
+      "epoch": 6.855840927920464,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001680420262240289,
+      "loss": 4.6343,
+      "mean_token_accuracy": 0.21753862798213958,
+      "num_tokens": 15083543.0,
+      "step": 8275
+    },
+    {
+      "entropy": 5.204693603515625,
+      "epoch": 6.859983429991715,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00016776099290332397,
+      "loss": 4.6145,
+      "mean_token_accuracy": 0.2235179975628853,
+      "num_tokens": 15092291.0,
+      "step": 8280
+    },
+    {
+      "entropy": 5.3212086200714115,
+      "epoch": 6.864125932062966,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00016748017589541525,
+      "loss": 4.6697,
+      "mean_token_accuracy": 0.2193456619977951,
+      "num_tokens": 15100875.0,
+      "step": 8285
+    },
+    {
+      "entropy": 5.275527429580689,
+      "epoch": 6.868268434134217,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0001671995757667414,
+      "loss": 4.6246,
+      "mean_token_accuracy": 0.22207115739583969,
+      "num_tokens": 15111385.0,
+      "step": 8290
+    },
+    {
+      "entropy": 5.325754880905151,
+      "epoch": 6.872410936205468,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00016691919308330343,
+      "loss": 4.6412,
+      "mean_token_accuracy": 0.2226441338658333,
+      "num_tokens": 15121153.0,
+      "step": 8295
+    },
+    {
+      "entropy": 5.278840351104736,
+      "epoch": 6.876553438276719,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00016663902841066404,
+      "loss": 4.6258,
+      "mean_token_accuracy": 0.21953531950712205,
+      "num_tokens": 15130132.0,
+      "step": 8300
+    },
+    {
+      "entropy": 5.229125213623047,
+      "epoch": 6.88069594034797,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00016635908231394587,
+      "loss": 4.6111,
+      "mean_token_accuracy": 0.2153362438082695,
+      "num_tokens": 15138878.0,
+      "step": 8305
+    },
+    {
+      "entropy": 5.198756742477417,
+      "epoch": 6.8848384424192215,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0001660793553578307,
+      "loss": 4.6868,
+      "mean_token_accuracy": 0.20835813581943513,
+      "num_tokens": 15148727.0,
+      "step": 8310
+    },
+    {
+      "entropy": 5.257393503189087,
+      "epoch": 6.888980944490473,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00016579984810655856,
+      "loss": 4.6404,
+      "mean_token_accuracy": 0.21736776530742646,
+      "num_tokens": 15158107.0,
+      "step": 8315
+    },
+    {
+      "entropy": 5.275184488296508,
+      "epoch": 6.893123446561724,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00016552056112392594,
+      "loss": 4.6178,
+      "mean_token_accuracy": 0.21456918865442276,
+      "num_tokens": 15168101.0,
+      "step": 8320
+    },
+    {
+      "entropy": 5.249782991409302,
+      "epoch": 6.897265948632974,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0001652414949732854,
+      "loss": 4.5573,
+      "mean_token_accuracy": 0.22505220770835876,
+      "num_tokens": 15176376.0,
+      "step": 8325
+    },
+    {
+      "entropy": 5.2404684066772464,
+      "epoch": 6.901408450704225,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00016496265021754365,
+      "loss": 4.5925,
+      "mean_token_accuracy": 0.2170558288693428,
+      "num_tokens": 15184936.0,
+      "step": 8330
+    },
+    {
+      "entropy": 5.271342658996582,
+      "epoch": 6.905550952775476,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00016468402741916124,
+      "loss": 4.6586,
+      "mean_token_accuracy": 0.22344124019145967,
+      "num_tokens": 15194846.0,
+      "step": 8335
+    },
+    {
+      "entropy": 5.263687086105347,
+      "epoch": 6.909693454846727,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001644056271401506,
+      "loss": 4.6187,
+      "mean_token_accuracy": 0.22206373363733292,
+      "num_tokens": 15204543.0,
+      "step": 8340
+    },
+    {
+      "entropy": 5.221840810775757,
+      "epoch": 6.913835956917978,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00016412744994207573,
+      "loss": 4.5897,
+      "mean_token_accuracy": 0.215163554251194,
+      "num_tokens": 15213459.0,
+      "step": 8345
+    },
+    {
+      "entropy": 5.209072399139404,
+      "epoch": 6.9179784589892295,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00016384949638605025,
+      "loss": 4.6864,
+      "mean_token_accuracy": 0.20790564268827438,
+      "num_tokens": 15223841.0,
+      "step": 8350
+    },
+    {
+      "entropy": 5.225527238845825,
+      "epoch": 6.922120961060481,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00016357176703273696,
+      "loss": 4.6187,
+      "mean_token_accuracy": 0.22101123183965682,
+      "num_tokens": 15233594.0,
+      "step": 8355
+    },
+    {
+      "entropy": 5.251284885406494,
+      "epoch": 6.926263463131732,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0001632942624423463,
+      "loss": 4.5643,
+      "mean_token_accuracy": 0.22933652848005295,
+      "num_tokens": 15242876.0,
+      "step": 8360
+    },
+    {
+      "entropy": 5.297107553482055,
+      "epoch": 6.930405965202983,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00016301698317463525,
+      "loss": 4.6565,
+      "mean_token_accuracy": 0.2228442072868347,
+      "num_tokens": 15251581.0,
+      "step": 8365
+    },
+    {
+      "entropy": 5.252490663528443,
+      "epoch": 6.934548467274234,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00016273992978890658,
+      "loss": 4.5084,
+      "mean_token_accuracy": 0.22431502342224122,
+      "num_tokens": 15260601.0,
+      "step": 8370
+    },
+    {
+      "entropy": 5.232750654220581,
+      "epoch": 6.938690969345485,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001624631028440071,
+      "loss": 4.5322,
+      "mean_token_accuracy": 0.22127106189727783,
+      "num_tokens": 15270123.0,
+      "step": 8375
+    },
+    {
+      "entropy": 5.301280069351196,
+      "epoch": 6.942833471416735,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0001621865028983271,
+      "loss": 4.6664,
+      "mean_token_accuracy": 0.2162109360098839,
+      "num_tokens": 15278623.0,
+      "step": 8380
+    },
+    {
+      "entropy": 5.187017822265625,
+      "epoch": 6.946975973487987,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001619101305097988,
+      "loss": 4.569,
+      "mean_token_accuracy": 0.22274162173271178,
+      "num_tokens": 15287789.0,
+      "step": 8385
+    },
+    {
+      "entropy": 5.105927991867065,
+      "epoch": 6.9511184755592375,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.00016163398623589563,
+      "loss": 4.5276,
+      "mean_token_accuracy": 0.23134084939956664,
+      "num_tokens": 15296266.0,
+      "step": 8390
+    },
+    {
+      "entropy": 5.268940114974976,
+      "epoch": 6.955260977630489,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00016135807063363074,
+      "loss": 4.6269,
+      "mean_token_accuracy": 0.21198562532663345,
+      "num_tokens": 15304785.0,
+      "step": 8395
+    },
+    {
+      "entropy": 5.171991634368896,
+      "epoch": 6.95940347970174,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00016108238425955584,
+      "loss": 4.5327,
+      "mean_token_accuracy": 0.22577450573444366,
+      "num_tokens": 15313727.0,
+      "step": 8400
+    },
+    {
+      "entropy": 5.254316186904907,
+      "epoch": 6.963545981772991,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0001608069276697608,
+      "loss": 4.7158,
+      "mean_token_accuracy": 0.21332326233386995,
+      "num_tokens": 15322911.0,
+      "step": 8405
+    },
+    {
+      "entropy": 5.300360822677613,
+      "epoch": 6.967688483844242,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001605317014198714,
+      "loss": 4.6163,
+      "mean_token_accuracy": 0.22070427536964415,
+      "num_tokens": 15330882.0,
+      "step": 8410
+    },
+    {
+      "entropy": 5.221141958236695,
+      "epoch": 6.971830985915493,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00016025670606504926,
+      "loss": 4.523,
+      "mean_token_accuracy": 0.22398052662611007,
+      "num_tokens": 15339915.0,
+      "step": 8415
+    },
+    {
+      "entropy": 5.213225173950195,
+      "epoch": 6.975973487986744,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001599819421599899,
+      "loss": 4.5878,
+      "mean_token_accuracy": 0.21864742040634155,
+      "num_tokens": 15348181.0,
+      "step": 8420
+    },
+    {
+      "entropy": 5.188560724258423,
+      "epoch": 6.980115990057995,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00015970741025892233,
+      "loss": 4.5452,
+      "mean_token_accuracy": 0.2271549642086029,
+      "num_tokens": 15357128.0,
+      "step": 8425
+    },
+    {
+      "entropy": 5.209831953048706,
+      "epoch": 6.984258492129246,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00015943311091560721,
+      "loss": 4.6538,
+      "mean_token_accuracy": 0.22213561683893204,
+      "num_tokens": 15366878.0,
+      "step": 8430
+    },
+    {
+      "entropy": 5.3097316265106205,
+      "epoch": 6.988400994200497,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00015915904468333635,
+      "loss": 4.5939,
+      "mean_token_accuracy": 0.22847030758857728,
+      "num_tokens": 15376101.0,
+      "step": 8435
+    },
+    {
+      "entropy": 5.18035774230957,
+      "epoch": 6.9925434962717485,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00015888521211493135,
+      "loss": 4.5421,
+      "mean_token_accuracy": 0.21641024351119995,
+      "num_tokens": 15384942.0,
+      "step": 8440
+    },
+    {
+      "entropy": 5.193719911575317,
+      "epoch": 6.996685998342999,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001586116137627423,
+      "loss": 4.5648,
+      "mean_token_accuracy": 0.22552343606948852,
+      "num_tokens": 15394380.0,
+      "step": 8445
+    },
+    {
+      "entropy": 5.28035192489624,
+      "epoch": 7.00082850041425,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00015833825017864711,
+      "loss": 4.4966,
+      "mean_token_accuracy": 0.23881841003894805,
+      "num_tokens": 15402180.0,
+      "step": 8450
+    },
+    {
+      "entropy": 5.25820837020874,
+      "epoch": 7.004971002485501,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00015806512191405,
+      "loss": 4.5534,
+      "mean_token_accuracy": 0.22912415564060212,
+      "num_tokens": 15411434.0,
+      "step": 8455
+    },
+    {
+      "entropy": 5.271618843078613,
+      "epoch": 7.009113504556752,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0001577922295198803,
+      "loss": 4.4939,
+      "mean_token_accuracy": 0.2291717991232872,
+      "num_tokens": 15419905.0,
+      "step": 8460
+    },
+    {
+      "entropy": 5.211508417129517,
+      "epoch": 7.013256006628003,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00015751957354659206,
+      "loss": 4.5173,
+      "mean_token_accuracy": 0.22768738716840745,
+      "num_tokens": 15429200.0,
+      "step": 8465
+    },
+    {
+      "entropy": 5.230689239501953,
+      "epoch": 7.017398508699254,
+      "grad_norm": 1.7734375,
+      "learning_rate": 0.00015724715454416206,
+      "loss": 4.5014,
+      "mean_token_accuracy": 0.23492475599050522,
+      "num_tokens": 15439328.0,
+      "step": 8470
+    },
+    {
+      "entropy": 5.239945983886718,
+      "epoch": 7.021541010770505,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00015697497306208926,
+      "loss": 4.449,
+      "mean_token_accuracy": 0.23373402953147887,
+      "num_tokens": 15447739.0,
+      "step": 8475
+    },
+    {
+      "entropy": 5.2335375308990475,
+      "epoch": 7.0256835128417565,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001567030296493934,
+      "loss": 4.4117,
+      "mean_token_accuracy": 0.2391123041510582,
+      "num_tokens": 15456598.0,
+      "step": 8480
+    },
+    {
+      "entropy": 5.264567565917969,
+      "epoch": 7.029826014913008,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00015643132485461395,
+      "loss": 4.5407,
+      "mean_token_accuracy": 0.22584614008665085,
+      "num_tokens": 15466633.0,
+      "step": 8485
+    },
+    {
+      "entropy": 5.269935941696167,
+      "epoch": 7.033968516984259,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.0001561598592258094,
+      "loss": 4.4839,
+      "mean_token_accuracy": 0.23932840377092363,
+      "num_tokens": 15476809.0,
+      "step": 8490
+    },
+    {
+      "entropy": 5.200196313858032,
+      "epoch": 7.03811101905551,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00015588863331055541,
+      "loss": 4.4345,
+      "mean_token_accuracy": 0.22763314247131347,
+      "num_tokens": 15484964.0,
+      "step": 8495
+    },
+    {
+      "entropy": 5.208463573455811,
+      "epoch": 7.042253521126761,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.0001556176476559444,
+      "loss": 4.4668,
+      "mean_token_accuracy": 0.2335176944732666,
+      "num_tokens": 15493600.0,
+      "step": 8500
+    },
+    {
+      "epoch": 7.042253521126761,
+      "eval_entropy": 5.129485646798921,
+      "eval_loss": 5.728693962097168,
+      "eval_mean_token_accuracy": 0.16830202490726767,
+      "eval_num_tokens": 15493600.0,
+      "eval_runtime": 2.7433,
+      "eval_samples_per_second": 1365.87,
+      "eval_steps_per_second": 170.962,
+      "step": 8500
+    },
+    {
+      "entropy": 5.164541816711425,
+      "epoch": 7.046396023198011,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00015534690280858405,
+      "loss": 4.4339,
+      "mean_token_accuracy": 0.23090869933366776,
+      "num_tokens": 15502614.0,
+      "step": 8505
+    },
+    {
+      "entropy": 5.342812156677246,
+      "epoch": 7.050538525269262,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00015507639931459615,
+      "loss": 4.5456,
+      "mean_token_accuracy": 0.23020666539669038,
+      "num_tokens": 15511521.0,
+      "step": 8510
+    },
+    {
+      "entropy": 5.217349433898926,
+      "epoch": 7.054681027340513,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000154806137719616,
+      "loss": 4.4838,
+      "mean_token_accuracy": 0.22951803505420684,
+      "num_tokens": 15520220.0,
+      "step": 8515
+    },
+    {
+      "entropy": 5.209629344940185,
+      "epoch": 7.0588235294117645,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001545361185687906,
+      "loss": 4.431,
+      "mean_token_accuracy": 0.2416904717683792,
+      "num_tokens": 15528924.0,
+      "step": 8520
+    },
+    {
+      "entropy": 5.182469224929809,
+      "epoch": 7.062966031483016,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00015426634240677824,
+      "loss": 4.4263,
+      "mean_token_accuracy": 0.23380360007286072,
+      "num_tokens": 15539722.0,
+      "step": 8525
+    },
+    {
+      "entropy": 5.2457551002502445,
+      "epoch": 7.067108533554267,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00015399680977774689,
+      "loss": 4.501,
+      "mean_token_accuracy": 0.2327603965997696,
+      "num_tokens": 15548682.0,
+      "step": 8530
+    },
+    {
+      "entropy": 5.270536422729492,
+      "epoch": 7.071251035625518,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00015372752122537318,
+      "loss": 4.4816,
+      "mean_token_accuracy": 0.23249582201242447,
+      "num_tokens": 15557508.0,
+      "step": 8535
+    },
+    {
+      "entropy": 5.2048643112182615,
+      "epoch": 7.075393537696769,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00015345847729284168,
+      "loss": 4.5156,
+      "mean_token_accuracy": 0.23168871104717254,
+      "num_tokens": 15566120.0,
+      "step": 8540
+    },
+    {
+      "entropy": 5.203616809844971,
+      "epoch": 7.07953603976802,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00015318967852284335,
+      "loss": 4.4143,
+      "mean_token_accuracy": 0.24245947301387788,
+      "num_tokens": 15575166.0,
+      "step": 8545
+    },
+    {
+      "entropy": 5.213142776489258,
+      "epoch": 7.083678541839271,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00015292112545757476,
+      "loss": 4.4618,
+      "mean_token_accuracy": 0.22540973722934723,
+      "num_tokens": 15585063.0,
+      "step": 8550
+    },
+    {
+      "entropy": 5.212160682678222,
+      "epoch": 7.087821043910522,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00015265281863873663,
+      "loss": 4.4774,
+      "mean_token_accuracy": 0.23299887031316757,
+      "num_tokens": 15594386.0,
+      "step": 8555
+    },
+    {
+      "entropy": 5.2236042499542235,
+      "epoch": 7.091963545981773,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00015238475860753338,
+      "loss": 4.5,
+      "mean_token_accuracy": 0.22962148636579513,
+      "num_tokens": 15603796.0,
+      "step": 8560
+    },
+    {
+      "entropy": 5.24848952293396,
+      "epoch": 7.096106048053024,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00015211694590467118,
+      "loss": 4.4305,
+      "mean_token_accuracy": 0.24062979519367217,
+      "num_tokens": 15612752.0,
+      "step": 8565
+    },
+    {
+      "entropy": 5.247216987609863,
+      "epoch": 7.100248550124275,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0001518493810703575,
+      "loss": 4.5228,
+      "mean_token_accuracy": 0.22897974401712418,
+      "num_tokens": 15621995.0,
+      "step": 8570
+    },
+    {
+      "entropy": 5.2101912021636965,
+      "epoch": 7.104391052195526,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00015158206464430002,
+      "loss": 4.4774,
+      "mean_token_accuracy": 0.2337987780570984,
+      "num_tokens": 15630390.0,
+      "step": 8575
+    },
+    {
+      "entropy": 5.154296445846557,
+      "epoch": 7.108533554266777,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000151314997165705,
+      "loss": 4.4282,
+      "mean_token_accuracy": 0.2341099962592125,
+      "num_tokens": 15639723.0,
+      "step": 8580
+    },
+    {
+      "entropy": 5.143678855895996,
+      "epoch": 7.112676056338028,
+      "grad_norm": 1.5625,
+      "learning_rate": 0.00015104817917327694,
+      "loss": 4.3389,
+      "mean_token_accuracy": 0.25343778878450396,
+      "num_tokens": 15647755.0,
+      "step": 8585
+    },
+    {
+      "entropy": 5.213784980773926,
+      "epoch": 7.116818558409279,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00015078161120521676,
+      "loss": 4.489,
+      "mean_token_accuracy": 0.24025783091783523,
+      "num_tokens": 15656949.0,
+      "step": 8590
+    },
+    {
+      "entropy": 5.183463621139526,
+      "epoch": 7.12096106048053,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001505152937992211,
+      "loss": 4.4389,
+      "mean_token_accuracy": 0.23687577545642852,
+      "num_tokens": 15666290.0,
+      "step": 8595
+    },
+    {
+      "entropy": 5.265416860580444,
+      "epoch": 7.125103562551781,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00015024922749248143,
+      "loss": 4.4796,
+      "mean_token_accuracy": 0.23623479157686234,
+      "num_tokens": 15675728.0,
+      "step": 8600
+    },
+    {
+      "entropy": 5.224102210998535,
+      "epoch": 7.1292460646230325,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00014998341282168243,
+      "loss": 4.4247,
+      "mean_token_accuracy": 0.24638550877571105,
+      "num_tokens": 15684519.0,
+      "step": 8605
+    },
+    {
+      "entropy": 5.225100469589234,
+      "epoch": 7.133388566694284,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0001497178503230015,
+      "loss": 4.5214,
+      "mean_token_accuracy": 0.2323624387383461,
+      "num_tokens": 15693813.0,
+      "step": 8610
+    },
+    {
+      "entropy": 5.2346985816955565,
+      "epoch": 7.137531068765535,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00014945254053210712,
+      "loss": 4.4972,
+      "mean_token_accuracy": 0.23152748346328736,
+      "num_tokens": 15702245.0,
+      "step": 8615
+    },
+    {
+      "entropy": 5.260819959640503,
+      "epoch": 7.141673570836786,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00014918748398415801,
+      "loss": 4.5132,
+      "mean_token_accuracy": 0.22982551604509355,
+      "num_tokens": 15712246.0,
+      "step": 8620
+    },
+    {
+      "entropy": 5.199164581298828,
+      "epoch": 7.145816072908037,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00014892268121380244,
+      "loss": 4.453,
+      "mean_token_accuracy": 0.23305327594280242,
+      "num_tokens": 15720904.0,
+      "step": 8625
+    },
+    {
+      "entropy": 5.201052474975586,
+      "epoch": 7.149958574979287,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00014865813275517637,
+      "loss": 4.4464,
+      "mean_token_accuracy": 0.24035904705524444,
+      "num_tokens": 15730595.0,
+      "step": 8630
+    },
+    {
+      "entropy": 5.160213327407837,
+      "epoch": 7.154101077050538,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00014839383914190302,
+      "loss": 4.4113,
+      "mean_token_accuracy": 0.2371663734316826,
+      "num_tokens": 15739475.0,
+      "step": 8635
+    },
+    {
+      "entropy": 5.202706527709961,
+      "epoch": 7.158243579121789,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001481298009070915,
+      "loss": 4.4357,
+      "mean_token_accuracy": 0.2400374785065651,
+      "num_tokens": 15748672.0,
+      "step": 8640
+    },
+    {
+      "entropy": 5.255636262893677,
+      "epoch": 7.16238608119304,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00014786601858333566,
+      "loss": 4.4665,
+      "mean_token_accuracy": 0.2322999894618988,
+      "num_tokens": 15757540.0,
+      "step": 8645
+    },
+    {
+      "entropy": 5.19217586517334,
+      "epoch": 7.1665285832642915,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00014760249270271341,
+      "loss": 4.4882,
+      "mean_token_accuracy": 0.23090190291404725,
+      "num_tokens": 15767198.0,
+      "step": 8650
+    },
+    {
+      "entropy": 5.181815910339355,
+      "epoch": 7.170671085335543,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00014733922379678513,
+      "loss": 4.444,
+      "mean_token_accuracy": 0.2331250548362732,
+      "num_tokens": 15776818.0,
+      "step": 8655
+    },
+    {
+      "entropy": 5.310377168655395,
+      "epoch": 7.174813587406794,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00014707621239659312,
+      "loss": 4.5959,
+      "mean_token_accuracy": 0.22294886857271196,
+      "num_tokens": 15786054.0,
+      "step": 8660
+    },
+    {
+      "entropy": 5.248941802978516,
+      "epoch": 7.178956089478045,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001468134590326601,
+      "loss": 4.5396,
+      "mean_token_accuracy": 0.22474610805511475,
+      "num_tokens": 15795367.0,
+      "step": 8665
+    },
+    {
+      "entropy": 5.275604391098023,
+      "epoch": 7.183098591549296,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001465509642349881,
+      "loss": 4.521,
+      "mean_token_accuracy": 0.22873310893774032,
+      "num_tokens": 15805006.0,
+      "step": 8670
+    },
+    {
+      "entropy": 5.279868030548096,
+      "epoch": 7.187241093620547,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00014628872853305808,
+      "loss": 4.5661,
+      "mean_token_accuracy": 0.21865685284137726,
+      "num_tokens": 15813978.0,
+      "step": 8675
+    },
+    {
+      "entropy": 5.2523754119873045,
+      "epoch": 7.191383595691798,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00014602675245582795,
+      "loss": 4.5336,
+      "mean_token_accuracy": 0.23225435018539428,
+      "num_tokens": 15824156.0,
+      "step": 8680
+    },
+    {
+      "entropy": 5.277890396118164,
+      "epoch": 7.195526097763049,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00014576503653173219,
+      "loss": 4.5739,
+      "mean_token_accuracy": 0.22429476380348207,
+      "num_tokens": 15833514.0,
+      "step": 8685
+    },
+    {
+      "entropy": 5.269798374176025,
+      "epoch": 7.1996685998342995,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00014550358128868036,
+      "loss": 4.5337,
+      "mean_token_accuracy": 0.2327092170715332,
+      "num_tokens": 15842047.0,
+      "step": 8690
+    },
+    {
+      "entropy": 5.283967399597168,
+      "epoch": 7.203811101905551,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00014524238725405615,
+      "loss": 4.5696,
+      "mean_token_accuracy": 0.230625981092453,
+      "num_tokens": 15851916.0,
+      "step": 8695
+    },
+    {
+      "entropy": 5.251355886459351,
+      "epoch": 7.207953603976802,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00014498145495471664,
+      "loss": 4.4735,
+      "mean_token_accuracy": 0.23564820736646652,
+      "num_tokens": 15860776.0,
+      "step": 8700
+    },
+    {
+      "entropy": 5.227689504623413,
+      "epoch": 7.212096106048053,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00014472078491699076,
+      "loss": 4.5561,
+      "mean_token_accuracy": 0.22959548383951187,
+      "num_tokens": 15870272.0,
+      "step": 8705
+    },
+    {
+      "entropy": 5.2320441722869875,
+      "epoch": 7.216238608119304,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0001444603776666784,
+      "loss": 4.4616,
+      "mean_token_accuracy": 0.23800074458122253,
+      "num_tokens": 15879448.0,
+      "step": 8710
+    },
+    {
+      "entropy": 5.309765768051148,
+      "epoch": 7.220381110190555,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00014420023372904944,
+      "loss": 4.5565,
+      "mean_token_accuracy": 0.22581303268671035,
+      "num_tokens": 15888806.0,
+      "step": 8715
+    },
+    {
+      "entropy": 5.223542404174805,
+      "epoch": 7.224523612261806,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00014394035362884274,
+      "loss": 4.5296,
+      "mean_token_accuracy": 0.23095161318778992,
+      "num_tokens": 15898443.0,
+      "step": 8720
+    },
+    {
+      "entropy": 5.220206260681152,
+      "epoch": 7.228666114333057,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00014368073789026482,
+      "loss": 4.4329,
+      "mean_token_accuracy": 0.2360845535993576,
+      "num_tokens": 15907759.0,
+      "step": 8725
+    },
+    {
+      "entropy": 5.230159711837769,
+      "epoch": 7.232808616404308,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00014342138703698882,
+      "loss": 4.4162,
+      "mean_token_accuracy": 0.24004922807216644,
+      "num_tokens": 15916687.0,
+      "step": 8730
+    },
+    {
+      "entropy": 5.2235363006591795,
+      "epoch": 7.2369511184755595,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.000143162301592154,
+      "loss": 4.48,
+      "mean_token_accuracy": 0.23941969871520996,
+      "num_tokens": 15925422.0,
+      "step": 8735
+    },
+    {
+      "entropy": 5.1952455043792725,
+      "epoch": 7.241093620546811,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00014290348207836385,
+      "loss": 4.4895,
+      "mean_token_accuracy": 0.2233983114361763,
+      "num_tokens": 15934279.0,
+      "step": 8740
+    },
+    {
+      "entropy": 5.200940227508545,
+      "epoch": 7.245236122618062,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001426449290176857,
+      "loss": 4.4485,
+      "mean_token_accuracy": 0.24146829843521117,
+      "num_tokens": 15943565.0,
+      "step": 8745
+    },
+    {
+      "entropy": 5.166256427764893,
+      "epoch": 7.249378624689312,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00014238664293164934,
+      "loss": 4.4391,
+      "mean_token_accuracy": 0.24021793454885482,
+      "num_tokens": 15952360.0,
+      "step": 8750
+    },
+    {
+      "entropy": 5.23963360786438,
+      "epoch": 7.253521126760563,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0001421286243412459,
+      "loss": 4.4776,
+      "mean_token_accuracy": 0.22992977499961853,
+      "num_tokens": 15960715.0,
+      "step": 8755
+    },
+    {
+      "entropy": 5.244385242462158,
+      "epoch": 7.257663628831814,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00014187087376692724,
+      "loss": 4.5058,
+      "mean_token_accuracy": 0.23199538439512252,
+      "num_tokens": 15969543.0,
+      "step": 8760
+    },
+    {
+      "entropy": 5.147299814224243,
+      "epoch": 7.261806130903065,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001416133917286043,
+      "loss": 4.4457,
+      "mean_token_accuracy": 0.23225277662277222,
+      "num_tokens": 15978256.0,
+      "step": 8765
+    },
+    {
+      "entropy": 5.203030776977539,
+      "epoch": 7.265948632974316,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001413561787456466,
+      "loss": 4.4327,
+      "mean_token_accuracy": 0.23831526637077333,
+      "num_tokens": 15987646.0,
+      "step": 8770
+    },
+    {
+      "entropy": 5.234354543685913,
+      "epoch": 7.2700911350455675,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00014109923533688068,
+      "loss": 4.4492,
+      "mean_token_accuracy": 0.23111054450273513,
+      "num_tokens": 15996767.0,
+      "step": 8775
+    },
+    {
+      "entropy": 5.211431694030762,
+      "epoch": 7.274233637116819,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0001408425620205897,
+      "loss": 4.4718,
+      "mean_token_accuracy": 0.23208508044481277,
+      "num_tokens": 16007170.0,
+      "step": 8780
+    },
+    {
+      "entropy": 5.255538749694824,
+      "epoch": 7.27837613918807,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001405861593145116,
+      "loss": 4.4987,
+      "mean_token_accuracy": 0.22857699245214463,
+      "num_tokens": 16015354.0,
+      "step": 8785
+    },
+    {
+      "entropy": 5.275969696044922,
+      "epoch": 7.282518641259321,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00014033002773583872,
+      "loss": 4.4955,
+      "mean_token_accuracy": 0.22325098514556885,
+      "num_tokens": 16024600.0,
+      "step": 8790
+    },
+    {
+      "entropy": 5.268600225448608,
+      "epoch": 7.286661143330572,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001400741678012164,
+      "loss": 4.4813,
+      "mean_token_accuracy": 0.2368546172976494,
+      "num_tokens": 16033301.0,
+      "step": 8795
+    },
+    {
+      "entropy": 5.252548122406006,
+      "epoch": 7.290803645401823,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00013981858002674223,
+      "loss": 4.5322,
+      "mean_token_accuracy": 0.22765524685382843,
+      "num_tokens": 16043539.0,
+      "step": 8800
+    },
+    {
+      "entropy": 5.284696912765503,
+      "epoch": 7.294946147473074,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001395632649279645,
+      "loss": 4.5687,
+      "mean_token_accuracy": 0.22771918177604675,
+      "num_tokens": 16052861.0,
+      "step": 8805
+    },
+    {
+      "entropy": 5.268942785263062,
+      "epoch": 7.299088649544325,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00013930822301988177,
+      "loss": 4.4622,
+      "mean_token_accuracy": 0.23665641099214554,
+      "num_tokens": 16062454.0,
+      "step": 8810
+    },
+    {
+      "entropy": 5.201201915740967,
+      "epoch": 7.3032311516155755,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00013905345481694147,
+      "loss": 4.4705,
+      "mean_token_accuracy": 0.2322714164853096,
+      "num_tokens": 16071432.0,
+      "step": 8815
+    },
+    {
+      "entropy": 5.172683620452881,
+      "epoch": 7.307373653686827,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001387989608330388,
+      "loss": 4.4437,
+      "mean_token_accuracy": 0.23548867851495742,
+      "num_tokens": 16080411.0,
+      "step": 8820
+    },
+    {
+      "entropy": 5.220728492736816,
+      "epoch": 7.311516155758078,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013854474158151602,
+      "loss": 4.486,
+      "mean_token_accuracy": 0.22679401338100433,
+      "num_tokens": 16089396.0,
+      "step": 8825
+    },
+    {
+      "entropy": 5.26025390625,
+      "epoch": 7.315658657829329,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00013829079757516106,
+      "loss": 4.5679,
+      "mean_token_accuracy": 0.224435892701149,
+      "num_tokens": 16099308.0,
+      "step": 8830
+    },
+    {
+      "entropy": 5.22006459236145,
+      "epoch": 7.31980115990058,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013803712932620681,
+      "loss": 4.5028,
+      "mean_token_accuracy": 0.22673140466213226,
+      "num_tokens": 16109336.0,
+      "step": 8835
+    },
+    {
+      "entropy": 5.267045164108277,
+      "epoch": 7.323943661971831,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001377837373463298,
+      "loss": 4.4931,
+      "mean_token_accuracy": 0.2302021786570549,
+      "num_tokens": 16118483.0,
+      "step": 8840
+    },
+    {
+      "entropy": 5.240559911727905,
+      "epoch": 7.328086164043082,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0001375306221466494,
+      "loss": 4.4713,
+      "mean_token_accuracy": 0.22934858202934266,
+      "num_tokens": 16127302.0,
+      "step": 8845
+    },
+    {
+      "entropy": 5.200973415374756,
+      "epoch": 7.332228666114333,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00013727778423772654,
+      "loss": 4.5353,
+      "mean_token_accuracy": 0.22502323240041733,
+      "num_tokens": 16136361.0,
+      "step": 8850
+    },
+    {
+      "entropy": 5.302484941482544,
+      "epoch": 7.336371168185584,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00013702522412956304,
+      "loss": 4.5868,
+      "mean_token_accuracy": 0.22618300914764405,
+      "num_tokens": 16146071.0,
+      "step": 8855
+    },
+    {
+      "entropy": 5.299910354614258,
+      "epoch": 7.340513670256835,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00013677294233160016,
+      "loss": 4.5189,
+      "mean_token_accuracy": 0.22607939094305038,
+      "num_tokens": 16154606.0,
+      "step": 8860
+    },
+    {
+      "entropy": 5.193687105178833,
+      "epoch": 7.3446561723280865,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013652093935271776,
+      "loss": 4.4767,
+      "mean_token_accuracy": 0.24149058610200883,
+      "num_tokens": 16163648.0,
+      "step": 8865
+    },
+    {
+      "entropy": 5.282410192489624,
+      "epoch": 7.348798674399337,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013626921570123357,
+      "loss": 4.5431,
+      "mean_token_accuracy": 0.22477766126394272,
+      "num_tokens": 16172693.0,
+      "step": 8870
+    },
+    {
+      "entropy": 5.204723453521728,
+      "epoch": 7.352941176470588,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00013601777188490156,
+      "loss": 4.4384,
+      "mean_token_accuracy": 0.23236895948648453,
+      "num_tokens": 16181689.0,
+      "step": 8875
+    },
+    {
+      "entropy": 5.202375221252441,
+      "epoch": 7.357083678541839,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0001357666084109115,
+      "loss": 4.5693,
+      "mean_token_accuracy": 0.22547451853752137,
+      "num_tokens": 16191254.0,
+      "step": 8880
+    },
+    {
+      "entropy": 5.271569538116455,
+      "epoch": 7.36122618061309,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001355157257858875,
+      "loss": 4.4698,
+      "mean_token_accuracy": 0.23402072489261627,
+      "num_tokens": 16199613.0,
+      "step": 8885
+    },
+    {
+      "entropy": 5.213530111312866,
+      "epoch": 7.365368682684341,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013526512451588718,
+      "loss": 4.4584,
+      "mean_token_accuracy": 0.23570594042539597,
+      "num_tokens": 16208345.0,
+      "step": 8890
+    },
+    {
+      "entropy": 5.259526348114013,
+      "epoch": 7.369511184755592,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0001350148051064008,
+      "loss": 4.5219,
+      "mean_token_accuracy": 0.23035535961389542,
+      "num_tokens": 16217964.0,
+      "step": 8895
+    },
+    {
+      "entropy": 5.259307479858398,
+      "epoch": 7.373653686826843,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00013476476806234983,
+      "loss": 4.5768,
+      "mean_token_accuracy": 0.2261824905872345,
+      "num_tokens": 16227140.0,
+      "step": 8900
+    },
+    {
+      "entropy": 5.320018339157104,
+      "epoch": 7.3777961888980945,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0001345150138880865,
+      "loss": 4.5291,
+      "mean_token_accuracy": 0.22605375498533248,
+      "num_tokens": 16237416.0,
+      "step": 8905
+    },
+    {
+      "entropy": 5.313902473449707,
+      "epoch": 7.381938690969346,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00013426554308739214,
+      "loss": 4.5596,
+      "mean_token_accuracy": 0.2251575157046318,
+      "num_tokens": 16246682.0,
+      "step": 8910
+    },
+    {
+      "entropy": 5.246820068359375,
+      "epoch": 7.386081193040597,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00013401635616347655,
+      "loss": 4.5364,
+      "mean_token_accuracy": 0.2272168666124344,
+      "num_tokens": 16255450.0,
+      "step": 8915
+    },
+    {
+      "entropy": 5.129112625122071,
+      "epoch": 7.390223695111848,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013376745361897712,
+      "loss": 4.4317,
+      "mean_token_accuracy": 0.24068772196769714,
+      "num_tokens": 16265014.0,
+      "step": 8920
+    },
+    {
+      "entropy": 5.284948348999023,
+      "epoch": 7.394366197183099,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00013351883595595743,
+      "loss": 4.5167,
+      "mean_token_accuracy": 0.23356657475233078,
+      "num_tokens": 16273309.0,
+      "step": 8925
+    },
+    {
+      "entropy": 5.225611877441406,
+      "epoch": 7.39850869925435,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001332705036759065,
+      "loss": 4.4788,
+      "mean_token_accuracy": 0.22821299731731415,
+      "num_tokens": 16282129.0,
+      "step": 8930
+    },
+    {
+      "entropy": 5.155527019500733,
+      "epoch": 7.4026512013256,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0001330224572797377,
+      "loss": 4.4512,
+      "mean_token_accuracy": 0.2339691624045372,
+      "num_tokens": 16291208.0,
+      "step": 8935
+    },
+    {
+      "entropy": 5.221278285980224,
+      "epoch": 7.406793703396851,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00013277469726778756,
+      "loss": 4.4484,
+      "mean_token_accuracy": 0.2374333918094635,
+      "num_tokens": 16300111.0,
+      "step": 8940
+    },
+    {
+      "entropy": 5.253650236129761,
+      "epoch": 7.4109362054681025,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001325272241398153,
+      "loss": 4.4236,
+      "mean_token_accuracy": 0.24237828254699706,
+      "num_tokens": 16308653.0,
+      "step": 8945
+    },
+    {
+      "entropy": 5.303265380859375,
+      "epoch": 7.415078707539354,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013228003839500113,
+      "loss": 4.5048,
+      "mean_token_accuracy": 0.23030605614185334,
+      "num_tokens": 16317986.0,
+      "step": 8950
+    },
+    {
+      "entropy": 5.250785398483276,
+      "epoch": 7.419221209610605,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001320331405319458,
+      "loss": 4.4978,
+      "mean_token_accuracy": 0.23015536218881608,
+      "num_tokens": 16326889.0,
+      "step": 8955
+    },
+    {
+      "entropy": 5.175545310974121,
+      "epoch": 7.423363711681856,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013178653104866926,
+      "loss": 4.5135,
+      "mean_token_accuracy": 0.2249376356601715,
+      "num_tokens": 16336121.0,
+      "step": 8960
+    },
+    {
+      "entropy": 5.223824167251587,
+      "epoch": 7.427506213753107,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.00013154021044260966,
+      "loss": 4.5654,
+      "mean_token_accuracy": 0.22634392529726027,
+      "num_tokens": 16345216.0,
+      "step": 8965
+    },
+    {
+      "entropy": 5.167584037780761,
+      "epoch": 7.431648715824358,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00013129417921062275,
+      "loss": 4.4047,
+      "mean_token_accuracy": 0.24216125905513763,
+      "num_tokens": 16353735.0,
+      "step": 8970
+    },
+    {
+      "entropy": 5.213489151000976,
+      "epoch": 7.435791217895609,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001310484378489803,
+      "loss": 4.4363,
+      "mean_token_accuracy": 0.23906279355287552,
+      "num_tokens": 16362474.0,
+      "step": 8975
+    },
+    {
+      "entropy": 5.264641571044922,
+      "epoch": 7.43993371996686,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013080298685336957,
+      "loss": 4.5711,
+      "mean_token_accuracy": 0.22207222431898116,
+      "num_tokens": 16371948.0,
+      "step": 8980
+    },
+    {
+      "entropy": 5.193941831588745,
+      "epoch": 7.444076222038111,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00013055782671889205,
+      "loss": 4.4657,
+      "mean_token_accuracy": 0.23412289023399352,
+      "num_tokens": 16380849.0,
+      "step": 8985
+    },
+    {
+      "entropy": 5.256904029846192,
+      "epoch": 7.448218724109362,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0001303129579400624,
+      "loss": 4.5758,
+      "mean_token_accuracy": 0.21966907531023025,
+      "num_tokens": 16389495.0,
+      "step": 8990
+    },
+    {
+      "entropy": 5.242080307006836,
+      "epoch": 7.452361226180613,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001300683810108078,
+      "loss": 4.44,
+      "mean_token_accuracy": 0.23775164783000946,
+      "num_tokens": 16397744.0,
+      "step": 8995
+    },
+    {
+      "entropy": 5.198620891571045,
+      "epoch": 7.456503728251864,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0001298240964244666,
+      "loss": 4.4774,
+      "mean_token_accuracy": 0.22778769880533217,
+      "num_tokens": 16406785.0,
+      "step": 9000
+    },
+    {
+      "epoch": 7.456503728251864,
+      "eval_entropy": 5.137435206472238,
+      "eval_loss": 5.726848125457764,
+      "eval_mean_token_accuracy": 0.16911925307151351,
+      "eval_num_tokens": 16406785.0,
+      "eval_runtime": 2.7388,
+      "eval_samples_per_second": 1368.12,
+      "eval_steps_per_second": 171.243,
+      "step": 9000
+    },
+    {
+      "entropy": 5.236600065231324,
+      "epoch": 7.460646230323115,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001295801046737876,
+      "loss": 4.5195,
+      "mean_token_accuracy": 0.23866655230522155,
+      "num_tokens": 16415768.0,
+      "step": 9005
+    },
+    {
+      "entropy": 5.189950561523437,
+      "epoch": 7.464788732394366,
+      "grad_norm": 1.53125,
+      "learning_rate": 0.00012933640625092867,
+      "loss": 4.4701,
+      "mean_token_accuracy": 0.2334812819957733,
+      "num_tokens": 16424722.0,
+      "step": 9010
+    },
+    {
+      "entropy": 5.206139373779297,
+      "epoch": 7.468931234465617,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00012909300164745636,
+      "loss": 4.4532,
+      "mean_token_accuracy": 0.24083833396434784,
+      "num_tokens": 16433797.0,
+      "step": 9015
+    },
+    {
+      "entropy": 5.195779943466187,
+      "epoch": 7.473073736536868,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00012884989135434423,
+      "loss": 4.4113,
+      "mean_token_accuracy": 0.23783705085515977,
+      "num_tokens": 16442537.0,
+      "step": 9020
+    },
+    {
+      "entropy": 5.241878795623779,
+      "epoch": 7.477216238608119,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00012860707586197218,
+      "loss": 4.5289,
+      "mean_token_accuracy": 0.23057866245508193,
+      "num_tokens": 16451440.0,
+      "step": 9025
+    },
+    {
+      "entropy": 5.202231788635254,
+      "epoch": 7.4813587406793705,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00012836455566012586,
+      "loss": 4.5065,
+      "mean_token_accuracy": 0.22772400230169296,
+      "num_tokens": 16459358.0,
+      "step": 9030
+    },
+    {
+      "entropy": 5.1701904296875,
+      "epoch": 7.485501242750622,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00012812233123799481,
+      "loss": 4.3761,
+      "mean_token_accuracy": 0.24460603147745133,
+      "num_tokens": 16467584.0,
+      "step": 9035
+    },
+    {
+      "entropy": 5.232595682144165,
+      "epoch": 7.489643744821873,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00012788040308417232,
+      "loss": 4.5119,
+      "mean_token_accuracy": 0.22690969109535217,
+      "num_tokens": 16476674.0,
+      "step": 9040
+    },
+    {
+      "entropy": 5.18615756034851,
+      "epoch": 7.493786246893124,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00012763877168665383,
+      "loss": 4.3977,
+      "mean_token_accuracy": 0.23276474177837372,
+      "num_tokens": 16485422.0,
+      "step": 9045
+    },
+    {
+      "entropy": 5.259172058105468,
+      "epoch": 7.497928748964375,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00012739743753283617,
+      "loss": 4.594,
+      "mean_token_accuracy": 0.23090241551399232,
+      "num_tokens": 16494024.0,
+      "step": 9050
+    },
+    {
+      "entropy": 5.212364196777344,
+      "epoch": 7.502071251035625,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001271564011095169,
+      "loss": 4.567,
+      "mean_token_accuracy": 0.22396907359361648,
+      "num_tokens": 16503805.0,
+      "step": 9055
+    },
+    {
+      "entropy": 5.238067293167115,
+      "epoch": 7.506213753106876,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001269156629028927,
+      "loss": 4.5034,
+      "mean_token_accuracy": 0.22764867544174194,
+      "num_tokens": 16512559.0,
+      "step": 9060
+    },
+    {
+      "entropy": 5.283909463882447,
+      "epoch": 7.510356255178127,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.0001266752233985589,
+      "loss": 4.5421,
+      "mean_token_accuracy": 0.22903914898633956,
+      "num_tokens": 16521910.0,
+      "step": 9065
+    },
+    {
+      "entropy": 5.228765964508057,
+      "epoch": 7.514498757249378,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00012643508308150822,
+      "loss": 4.481,
+      "mean_token_accuracy": 0.23210673332214354,
+      "num_tokens": 16530802.0,
+      "step": 9070
+    },
+    {
+      "entropy": 5.175292682647705,
+      "epoch": 7.5186412593206295,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001261952424361299,
+      "loss": 4.4682,
+      "mean_token_accuracy": 0.2365036979317665,
+      "num_tokens": 16540519.0,
+      "step": 9075
+    },
+    {
+      "entropy": 5.187702560424805,
+      "epoch": 7.522783761391881,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0001259557019462088,
+      "loss": 4.4624,
+      "mean_token_accuracy": 0.22708640843629838,
+      "num_tokens": 16549433.0,
+      "step": 9080
+    },
+    {
+      "entropy": 5.2191469192504885,
+      "epoch": 7.526926263463132,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00012571646209492417,
+      "loss": 4.5106,
+      "mean_token_accuracy": 0.2241887181997299,
+      "num_tokens": 16558128.0,
+      "step": 9085
+    },
+    {
+      "entropy": 5.1911474704742435,
+      "epoch": 7.531068765534383,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00012547752336484908,
+      "loss": 4.4329,
+      "mean_token_accuracy": 0.2339310199022293,
+      "num_tokens": 16566636.0,
+      "step": 9090
+    },
+    {
+      "entropy": 5.222174024581909,
+      "epoch": 7.535211267605634,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00012523888623794892,
+      "loss": 4.4508,
+      "mean_token_accuracy": 0.22641565501689911,
+      "num_tokens": 16575036.0,
+      "step": 9095
+    },
+    {
+      "entropy": 5.18636269569397,
+      "epoch": 7.539353769676885,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.0001250005511955809,
+      "loss": 4.4813,
+      "mean_token_accuracy": 0.23633484840393065,
+      "num_tokens": 16584146.0,
+      "step": 9100
+    },
+    {
+      "entropy": 5.267010164260864,
+      "epoch": 7.543496271748136,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001247625187184929,
+      "loss": 4.5566,
+      "mean_token_accuracy": 0.23071260899305343,
+      "num_tokens": 16593915.0,
+      "step": 9105
+    },
+    {
+      "entropy": 5.261574983596802,
+      "epoch": 7.547638773819386,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.0001245247892868223,
+      "loss": 4.4222,
+      "mean_token_accuracy": 0.24024491608142853,
+      "num_tokens": 16601490.0,
+      "step": 9110
+    },
+    {
+      "entropy": 5.231517314910889,
+      "epoch": 7.551781275890638,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0001242873633800955,
+      "loss": 4.5248,
+      "mean_token_accuracy": 0.22314041405916213,
+      "num_tokens": 16610972.0,
+      "step": 9115
+    },
+    {
+      "entropy": 5.2491841316223145,
+      "epoch": 7.555923777961889,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00012405024147722643,
+      "loss": 4.4864,
+      "mean_token_accuracy": 0.22206981778144835,
+      "num_tokens": 16619388.0,
+      "step": 9120
+    },
+    {
+      "entropy": 5.113521718978882,
+      "epoch": 7.56006628003314,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001238134240565158,
+      "loss": 4.4453,
+      "mean_token_accuracy": 0.23808686733245848,
+      "num_tokens": 16628265.0,
+      "step": 9125
+    },
+    {
+      "entropy": 5.1795234203338625,
+      "epoch": 7.564208782104391,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0001235769115956504,
+      "loss": 4.4003,
+      "mean_token_accuracy": 0.24365673661231996,
+      "num_tokens": 16636809.0,
+      "step": 9130
+    },
+    {
+      "entropy": 5.292108011245728,
+      "epoch": 7.568351284175642,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00012334070457170151,
+      "loss": 4.5798,
+      "mean_token_accuracy": 0.22227199971675873,
+      "num_tokens": 16646084.0,
+      "step": 9135
+    },
+    {
+      "entropy": 5.296937656402588,
+      "epoch": 7.572493786246893,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00012310480346112472,
+      "loss": 4.611,
+      "mean_token_accuracy": 0.2216431438922882,
+      "num_tokens": 16656196.0,
+      "step": 9140
+    },
+    {
+      "entropy": 5.209884786605835,
+      "epoch": 7.576636288318144,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00012286920873975815,
+      "loss": 4.5105,
+      "mean_token_accuracy": 0.22829700261354446,
+      "num_tokens": 16665770.0,
+      "step": 9145
+    },
+    {
+      "entropy": 5.213883733749389,
+      "epoch": 7.580778790389395,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00012263392088282226,
+      "loss": 4.4418,
+      "mean_token_accuracy": 0.24046860188245772,
+      "num_tokens": 16674206.0,
+      "step": 9150
+    },
+    {
+      "entropy": 5.187081003189087,
+      "epoch": 7.584921292460646,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00012239894036491833,
+      "loss": 4.4749,
+      "mean_token_accuracy": 0.2309769421815872,
+      "num_tokens": 16683977.0,
+      "step": 9155
+    },
+    {
+      "entropy": 5.184215354919433,
+      "epoch": 7.5890637945318975,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.00012216426766002762,
+      "loss": 4.4464,
+      "mean_token_accuracy": 0.23352074921131133,
+      "num_tokens": 16693117.0,
+      "step": 9160
+    },
+    {
+      "entropy": 5.220042276382446,
+      "epoch": 7.593206296603149,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00012192990324151079,
+      "loss": 4.4633,
+      "mean_token_accuracy": 0.23336823433637618,
+      "num_tokens": 16701631.0,
+      "step": 9165
+    },
+    {
+      "entropy": 5.242423677444458,
+      "epoch": 7.5973487986744,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00012169584758210635,
+      "loss": 4.5412,
+      "mean_token_accuracy": 0.23175331354141235,
+      "num_tokens": 16710337.0,
+      "step": 9170
+    },
+    {
+      "entropy": 5.182403945922852,
+      "epoch": 7.60149130074565,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00012146210115393025,
+      "loss": 4.4635,
+      "mean_token_accuracy": 0.2343884065747261,
+      "num_tokens": 16719046.0,
+      "step": 9175
+    },
+    {
+      "entropy": 5.217220401763916,
+      "epoch": 7.605633802816901,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00012122866442847455,
+      "loss": 4.5145,
+      "mean_token_accuracy": 0.2259568005800247,
+      "num_tokens": 16727860.0,
+      "step": 9180
+    },
+    {
+      "entropy": 5.235024166107178,
+      "epoch": 7.609776304888152,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00012099553787660654,
+      "loss": 4.5803,
+      "mean_token_accuracy": 0.23205377757549286,
+      "num_tokens": 16737839.0,
+      "step": 9185
+    },
+    {
+      "entropy": 5.158119058609008,
+      "epoch": 7.613918806959403,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00012076272196856808,
+      "loss": 4.4573,
+      "mean_token_accuracy": 0.2307577461004257,
+      "num_tokens": 16746171.0,
+      "step": 9190
+    },
+    {
+      "entropy": 5.198251819610595,
+      "epoch": 7.618061309030654,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0001205302171739742,
+      "loss": 4.4448,
+      "mean_token_accuracy": 0.2381545603275299,
+      "num_tokens": 16755236.0,
+      "step": 9195
+    },
+    {
+      "entropy": 5.211521863937378,
+      "epoch": 7.6222038111019055,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00012029802396181256,
+      "loss": 4.4663,
+      "mean_token_accuracy": 0.2303634077310562,
+      "num_tokens": 16764126.0,
+      "step": 9200
+    },
+    {
+      "entropy": 5.242390394210815,
+      "epoch": 7.626346313173157,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00012006614280044225,
+      "loss": 4.5253,
+      "mean_token_accuracy": 0.2375326469540596,
+      "num_tokens": 16772861.0,
+      "step": 9205
+    },
+    {
+      "entropy": 5.234907102584839,
+      "epoch": 7.630488815244408,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00011983457415759274,
+      "loss": 4.5015,
+      "mean_token_accuracy": 0.23732417970895767,
+      "num_tokens": 16782119.0,
+      "step": 9210
+    },
+    {
+      "entropy": 5.261215591430664,
+      "epoch": 7.634631317315659,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.00011960331850036352,
+      "loss": 4.5405,
+      "mean_token_accuracy": 0.22217481583356857,
+      "num_tokens": 16790531.0,
+      "step": 9215
+    },
+    {
+      "entropy": 5.176897668838501,
+      "epoch": 7.63877381938691,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00011937237629522233,
+      "loss": 4.4532,
+      "mean_token_accuracy": 0.23413067758083345,
+      "num_tokens": 16799516.0,
+      "step": 9220
+    },
+    {
+      "entropy": 5.238109970092774,
+      "epoch": 7.642916321458161,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00011914174800800501,
+      "loss": 4.502,
+      "mean_token_accuracy": 0.2298160970211029,
+      "num_tokens": 16807830.0,
+      "step": 9225
+    },
+    {
+      "entropy": 5.269895887374878,
+      "epoch": 7.647058823529412,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00011891143410391387,
+      "loss": 4.565,
+      "mean_token_accuracy": 0.22582002878189086,
+      "num_tokens": 16816987.0,
+      "step": 9230
+    },
+    {
+      "entropy": 5.18939995765686,
+      "epoch": 7.651201325600663,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00011868143504751732,
+      "loss": 4.3949,
+      "mean_token_accuracy": 0.23891554325819014,
+      "num_tokens": 16825723.0,
+      "step": 9235
+    },
+    {
+      "entropy": 5.219127750396728,
+      "epoch": 7.6553438276719135,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00011845175130274848,
+      "loss": 4.5034,
+      "mean_token_accuracy": 0.23103347569704055,
+      "num_tokens": 16835429.0,
+      "step": 9240
+    },
+    {
+      "entropy": 5.194927597045899,
+      "epoch": 7.659486329743165,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011822238333290475,
+      "loss": 4.4327,
+      "mean_token_accuracy": 0.24837690144777297,
+      "num_tokens": 16844693.0,
+      "step": 9245
+    },
+    {
+      "entropy": 5.20636739730835,
+      "epoch": 7.663628831814416,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00011799333160064617,
+      "loss": 4.4855,
+      "mean_token_accuracy": 0.23225704431533814,
+      "num_tokens": 16853058.0,
+      "step": 9250
+    },
+    {
+      "entropy": 5.287894773483276,
+      "epoch": 7.667771333885667,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0001177645965679953,
+      "loss": 4.5412,
+      "mean_token_accuracy": 0.2231143057346344,
+      "num_tokens": 16863017.0,
+      "step": 9255
+    },
+    {
+      "entropy": 5.163079929351807,
+      "epoch": 7.671913835956918,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00011753617869633561,
+      "loss": 4.4049,
+      "mean_token_accuracy": 0.23928526490926744,
+      "num_tokens": 16872054.0,
+      "step": 9260
+    },
+    {
+      "entropy": 5.2851978778839115,
+      "epoch": 7.676056338028169,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00011730807844641085,
+      "loss": 4.5402,
+      "mean_token_accuracy": 0.2318034812808037,
+      "num_tokens": 16881554.0,
+      "step": 9265
+    },
+    {
+      "entropy": 5.190302848815918,
+      "epoch": 7.68019884009942,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00011708029627832431,
+      "loss": 4.5038,
+      "mean_token_accuracy": 0.23283302932977676,
+      "num_tokens": 16890050.0,
+      "step": 9270
+    },
+    {
+      "entropy": 5.259742593765258,
+      "epoch": 7.684341342170671,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00011685283265153732,
+      "loss": 4.4511,
+      "mean_token_accuracy": 0.2353460371494293,
+      "num_tokens": 16899298.0,
+      "step": 9275
+    },
+    {
+      "entropy": 5.3122483253479,
+      "epoch": 7.688483844241922,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00011662568802486905,
+      "loss": 4.5545,
+      "mean_token_accuracy": 0.22228943407535554,
+      "num_tokens": 16908227.0,
+      "step": 9280
+    },
+    {
+      "entropy": 5.272556734085083,
+      "epoch": 7.692626346313173,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00011639886285649489,
+      "loss": 4.5396,
+      "mean_token_accuracy": 0.22207894474267958,
+      "num_tokens": 16917708.0,
+      "step": 9285
+    },
+    {
+      "entropy": 5.160271692276001,
+      "epoch": 7.6967688483844245,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00011617235760394614,
+      "loss": 4.3672,
+      "mean_token_accuracy": 0.25004381984472274,
+      "num_tokens": 16926108.0,
+      "step": 9290
+    },
+    {
+      "entropy": 5.235444402694702,
+      "epoch": 7.700911350455675,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001159461727241085,
+      "loss": 4.4974,
+      "mean_token_accuracy": 0.22936034947633743,
+      "num_tokens": 16935821.0,
+      "step": 9295
+    },
+    {
+      "entropy": 5.198528051376343,
+      "epoch": 7.705053852526927,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001157203086732217,
+      "loss": 4.5459,
+      "mean_token_accuracy": 0.22811468094587325,
+      "num_tokens": 16944899.0,
+      "step": 9300
+    },
+    {
+      "entropy": 5.187997674942016,
+      "epoch": 7.709196354598177,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00011549476590687811,
+      "loss": 4.4804,
+      "mean_token_accuracy": 0.23926871865987778,
+      "num_tokens": 16953745.0,
+      "step": 9305
+    },
+    {
+      "entropy": 5.313058137893677,
+      "epoch": 7.713338856669428,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00011526954488002227,
+      "loss": 4.5838,
+      "mean_token_accuracy": 0.22520019114017487,
+      "num_tokens": 16962940.0,
+      "step": 9310
+    },
+    {
+      "entropy": 5.229482698440552,
+      "epoch": 7.717481358740679,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00011504464604694953,
+      "loss": 4.4865,
+      "mean_token_accuracy": 0.23147685676813126,
+      "num_tokens": 16971322.0,
+      "step": 9315
+    },
+    {
+      "entropy": 5.245448875427246,
+      "epoch": 7.72162386081193,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00011482006986130533,
+      "loss": 4.4294,
+      "mean_token_accuracy": 0.23540343344211578,
+      "num_tokens": 16980066.0,
+      "step": 9320
+    },
+    {
+      "entropy": 5.247683668136597,
+      "epoch": 7.725766362883181,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00011459581677608453,
+      "loss": 4.5173,
+      "mean_token_accuracy": 0.2335611492395401,
+      "num_tokens": 16989202.0,
+      "step": 9325
+    },
+    {
+      "entropy": 5.193714046478272,
+      "epoch": 7.7299088649544325,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00011437188724362997,
+      "loss": 4.5308,
+      "mean_token_accuracy": 0.22125924676656722,
+      "num_tokens": 16999267.0,
+      "step": 9330
+    },
+    {
+      "entropy": 5.173966312408448,
+      "epoch": 7.734051367025684,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00011414828171563214,
+      "loss": 4.4961,
+      "mean_token_accuracy": 0.2306640401482582,
+      "num_tokens": 17008252.0,
+      "step": 9335
+    },
+    {
+      "entropy": 5.222964191436768,
+      "epoch": 7.738193869096935,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00011392500064312773,
+      "loss": 4.4861,
+      "mean_token_accuracy": 0.23044844567775727,
+      "num_tokens": 17017568.0,
+      "step": 9340
+    },
+    {
+      "entropy": 5.249899530410767,
+      "epoch": 7.742336371168186,
+      "grad_norm": 1.578125,
+      "learning_rate": 0.000113702044476499,
+      "loss": 4.4943,
+      "mean_token_accuracy": 0.2308612123131752,
+      "num_tokens": 17026206.0,
+      "step": 9345
+    },
+    {
+      "entropy": 5.2420073509216305,
+      "epoch": 7.746478873239437,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00011347941366547303,
+      "loss": 4.4643,
+      "mean_token_accuracy": 0.23350251317024232,
+      "num_tokens": 17035114.0,
+      "step": 9350
+    },
+    {
+      "entropy": 5.238725233078003,
+      "epoch": 7.750621375310688,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001132571086591204,
+      "loss": 4.5356,
+      "mean_token_accuracy": 0.2302680641412735,
+      "num_tokens": 17044459.0,
+      "step": 9355
+    },
+    {
+      "entropy": 5.248926877975464,
+      "epoch": 7.754763877381938,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001130351299058547,
+      "loss": 4.5629,
+      "mean_token_accuracy": 0.220232954621315,
+      "num_tokens": 17053985.0,
+      "step": 9360
+    },
+    {
+      "entropy": 5.184970664978027,
+      "epoch": 7.758906379453189,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00011281347785343127,
+      "loss": 4.3551,
+      "mean_token_accuracy": 0.24387124329805374,
+      "num_tokens": 17063136.0,
+      "step": 9365
+    },
+    {
+      "entropy": 5.232142210006714,
+      "epoch": 7.7630488815244405,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00011259215294894647,
+      "loss": 4.5255,
+      "mean_token_accuracy": 0.22341912239789963,
+      "num_tokens": 17072423.0,
+      "step": 9370
+    },
+    {
+      "entropy": 5.20652437210083,
+      "epoch": 7.767191383595692,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00011237115563883693,
+      "loss": 4.4755,
+      "mean_token_accuracy": 0.23369871973991393,
+      "num_tokens": 17080578.0,
+      "step": 9375
+    },
+    {
+      "entropy": 5.195418119430542,
+      "epoch": 7.771333885666943,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00011215048636887825,
+      "loss": 4.4118,
+      "mean_token_accuracy": 0.24118203073740005,
+      "num_tokens": 17089995.0,
+      "step": 9380
+    },
+    {
+      "entropy": 5.147100353240967,
+      "epoch": 7.775476387738194,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001119301455841846,
+      "loss": 4.4097,
+      "mean_token_accuracy": 0.2331821948289871,
+      "num_tokens": 17099659.0,
+      "step": 9385
+    },
+    {
+      "entropy": 5.245456647872925,
+      "epoch": 7.779618889809445,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00011171013372920735,
+      "loss": 4.5308,
+      "mean_token_accuracy": 0.2302419975399971,
+      "num_tokens": 17109972.0,
+      "step": 9390
+    },
+    {
+      "entropy": 5.282257461547852,
+      "epoch": 7.783761391880696,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00011149045124773441,
+      "loss": 4.617,
+      "mean_token_accuracy": 0.2195971965789795,
+      "num_tokens": 17120288.0,
+      "step": 9395
+    },
+    {
+      "entropy": 5.251280069351196,
+      "epoch": 7.787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00011127109858288945,
+      "loss": 4.5275,
+      "mean_token_accuracy": 0.23744001388549804,
+      "num_tokens": 17130577.0,
+      "step": 9400
+    },
+    {
+      "entropy": 5.277375173568726,
+      "epoch": 7.792046396023198,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00011105207617713065,
+      "loss": 4.5846,
+      "mean_token_accuracy": 0.22438258528709412,
+      "num_tokens": 17140782.0,
+      "step": 9405
+    },
+    {
+      "entropy": 5.172359895706177,
+      "epoch": 7.796188898094449,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00011083338447225027,
+      "loss": 4.4852,
+      "mean_token_accuracy": 0.22962091118097305,
+      "num_tokens": 17150013.0,
+      "step": 9410
+    },
+    {
+      "entropy": 5.282632112503052,
+      "epoch": 7.8003314001657,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00011061502390937331,
+      "loss": 4.5287,
+      "mean_token_accuracy": 0.22322992384433746,
+      "num_tokens": 17159349.0,
+      "step": 9415
+    },
+    {
+      "entropy": 5.277588748931885,
+      "epoch": 7.804473902236952,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.0001103969949289568,
+      "loss": 4.5575,
+      "mean_token_accuracy": 0.23068788200616835,
+      "num_tokens": 17168063.0,
+      "step": 9420
+    },
+    {
+      "entropy": 5.27054352760315,
+      "epoch": 7.808616404308202,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00011017929797078919,
+      "loss": 4.5128,
+      "mean_token_accuracy": 0.22348960638046264,
+      "num_tokens": 17177087.0,
+      "step": 9425
+    },
+    {
+      "entropy": 5.23571743965149,
+      "epoch": 7.812758906379453,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00010996193347398886,
+      "loss": 4.4804,
+      "mean_token_accuracy": 0.2383258655667305,
+      "num_tokens": 17186875.0,
+      "step": 9430
+    },
+    {
+      "entropy": 5.23639702796936,
+      "epoch": 7.816901408450704,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00010974490187700394,
+      "loss": 4.5367,
+      "mean_token_accuracy": 0.2227595865726471,
+      "num_tokens": 17195666.0,
+      "step": 9435
+    },
+    {
+      "entropy": 5.224313688278198,
+      "epoch": 7.821043910521955,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0001095282036176107,
+      "loss": 4.4819,
+      "mean_token_accuracy": 0.22626830786466598,
+      "num_tokens": 17205145.0,
+      "step": 9440
+    },
+    {
+      "entropy": 5.25811996459961,
+      "epoch": 7.825186412593206,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00010931183913291335,
+      "loss": 4.5312,
+      "mean_token_accuracy": 0.2275287076830864,
+      "num_tokens": 17214106.0,
+      "step": 9445
+    },
+    {
+      "entropy": 5.185547399520874,
+      "epoch": 7.829328914664457,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00010909580885934265,
+      "loss": 4.3977,
+      "mean_token_accuracy": 0.24248179346323012,
+      "num_tokens": 17223343.0,
+      "step": 9450
+    },
+    {
+      "entropy": 5.235095453262329,
+      "epoch": 7.8334714167357085,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00010888011323265517,
+      "loss": 4.5538,
+      "mean_token_accuracy": 0.22286391854286194,
+      "num_tokens": 17233528.0,
+      "step": 9455
+    },
+    {
+      "entropy": 5.166561889648437,
+      "epoch": 7.83761391880696,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00010866475268793275,
+      "loss": 4.417,
+      "mean_token_accuracy": 0.23417006582021713,
+      "num_tokens": 17242026.0,
+      "step": 9460
+    },
+    {
+      "entropy": 5.164305257797241,
+      "epoch": 7.841756420878211,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00010844972765958096,
+      "loss": 4.4521,
+      "mean_token_accuracy": 0.23989777714014054,
+      "num_tokens": 17251203.0,
+      "step": 9465
+    },
+    {
+      "entropy": 5.134662532806397,
+      "epoch": 7.845898922949462,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00010823503858132894,
+      "loss": 4.3833,
+      "mean_token_accuracy": 0.23944269567728044,
+      "num_tokens": 17260072.0,
+      "step": 9470
+    },
+    {
+      "entropy": 5.221753406524658,
+      "epoch": 7.850041425020713,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00010802068588622793,
+      "loss": 4.515,
+      "mean_token_accuracy": 0.23257962763309478,
+      "num_tokens": 17269015.0,
+      "step": 9475
+    },
+    {
+      "entropy": 5.2019994258880615,
+      "epoch": 7.854183927091963,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00010780667000665067,
+      "loss": 4.4506,
+      "mean_token_accuracy": 0.24606569111347198,
+      "num_tokens": 17277721.0,
+      "step": 9480
+    },
+    {
+      "entropy": 5.219488096237183,
+      "epoch": 7.858326429163214,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00010759299137429073,
+      "loss": 4.5167,
+      "mean_token_accuracy": 0.2341366305947304,
+      "num_tokens": 17286805.0,
+      "step": 9485
+    },
+    {
+      "entropy": 5.258726453781128,
+      "epoch": 7.862468931234465,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00010737965042016116,
+      "loss": 4.5958,
+      "mean_token_accuracy": 0.22132833003997804,
+      "num_tokens": 17297577.0,
+      "step": 9490
+    },
+    {
+      "entropy": 5.259564542770386,
+      "epoch": 7.866611433305716,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00010716664757459404,
+      "loss": 4.4898,
+      "mean_token_accuracy": 0.2290081799030304,
+      "num_tokens": 17306620.0,
+      "step": 9495
+    },
+    {
+      "entropy": 5.2478546619415285,
+      "epoch": 7.8707539353769675,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00010695398326723938,
+      "loss": 4.5186,
+      "mean_token_accuracy": 0.22088584303855896,
+      "num_tokens": 17314796.0,
+      "step": 9500
+    },
+    {
+      "epoch": 7.8707539353769675,
+      "eval_entropy": 5.124833188331458,
+      "eval_loss": 5.722036838531494,
+      "eval_mean_token_accuracy": 0.16973218553737282,
+      "eval_num_tokens": 17314796.0,
+      "eval_runtime": 2.7518,
+      "eval_samples_per_second": 1361.662,
+      "eval_steps_per_second": 170.435,
+      "step": 9500
+    },
+    {
+      "entropy": 5.254538726806641,
+      "epoch": 7.874896437448219,
+      "grad_norm": 1.59375,
+      "learning_rate": 0.00010674165792706423,
+      "loss": 4.5362,
+      "mean_token_accuracy": 0.2321956381201744,
+      "num_tokens": 17324048.0,
+      "step": 9505
+    },
+    {
+      "entropy": 5.231704330444336,
+      "epoch": 7.87903893951947,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00010652967198235214,
+      "loss": 4.5016,
+      "mean_token_accuracy": 0.22966693341732025,
+      "num_tokens": 17333354.0,
+      "step": 9510
+    },
+    {
+      "entropy": 5.187391471862793,
+      "epoch": 7.883181441590721,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001063180258607018,
+      "loss": 4.4236,
+      "mean_token_accuracy": 0.24541445523500444,
+      "num_tokens": 17343026.0,
+      "step": 9515
+    },
+    {
+      "entropy": 5.156158971786499,
+      "epoch": 7.887323943661972,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00010610671998902671,
+      "loss": 4.3988,
+      "mean_token_accuracy": 0.2460971713066101,
+      "num_tokens": 17351161.0,
+      "step": 9520
+    },
+    {
+      "entropy": 5.217752170562744,
+      "epoch": 7.891466445733223,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00010589575479355379,
+      "loss": 4.4439,
+      "mean_token_accuracy": 0.23356560468673707,
+      "num_tokens": 17360697.0,
+      "step": 9525
+    },
+    {
+      "entropy": 5.239214277267456,
+      "epoch": 7.895608947804474,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00010568513069982289,
+      "loss": 4.52,
+      "mean_token_accuracy": 0.22984081357717515,
+      "num_tokens": 17370303.0,
+      "step": 9530
+    },
+    {
+      "entropy": 5.209999418258667,
+      "epoch": 7.899751449875725,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00010547484813268594,
+      "loss": 4.4913,
+      "mean_token_accuracy": 0.2257639542222023,
+      "num_tokens": 17379557.0,
+      "step": 9535
+    },
+    {
+      "entropy": 5.242380571365357,
+      "epoch": 7.903893951946976,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00010526490751630568,
+      "loss": 4.5388,
+      "mean_token_accuracy": 0.2311421036720276,
+      "num_tokens": 17388206.0,
+      "step": 9540
+    },
+    {
+      "entropy": 5.27910270690918,
+      "epoch": 7.908036454018227,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00010505530927415544,
+      "loss": 4.5921,
+      "mean_token_accuracy": 0.22979632169008254,
+      "num_tokens": 17398055.0,
+      "step": 9545
+    },
+    {
+      "entropy": 5.15529146194458,
+      "epoch": 7.912178956089478,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00010484605382901772,
+      "loss": 4.3899,
+      "mean_token_accuracy": 0.2327595457434654,
+      "num_tokens": 17407214.0,
+      "step": 9550
+    },
+    {
+      "entropy": 5.2571430683135985,
+      "epoch": 7.916321458160729,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00010463714160298354,
+      "loss": 4.5125,
+      "mean_token_accuracy": 0.23076227605342864,
+      "num_tokens": 17416447.0,
+      "step": 9555
+    },
+    {
+      "entropy": 5.230874300003052,
+      "epoch": 7.92046396023198,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.00010442857301745184,
+      "loss": 4.5231,
+      "mean_token_accuracy": 0.22791534811258315,
+      "num_tokens": 17424921.0,
+      "step": 9560
+    },
+    {
+      "entropy": 5.141931629180908,
+      "epoch": 7.924606462303231,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0001042203484931281,
+      "loss": 4.3655,
+      "mean_token_accuracy": 0.2378263220191002,
+      "num_tokens": 17434425.0,
+      "step": 9565
+    },
+    {
+      "entropy": 5.186363983154297,
+      "epoch": 7.928748964374482,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00010401246845002407,
+      "loss": 4.4757,
+      "mean_token_accuracy": 0.23377338647842408,
+      "num_tokens": 17443879.0,
+      "step": 9570
+    },
+    {
+      "entropy": 5.210091876983642,
+      "epoch": 7.932891466445733,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00010380493330745641,
+      "loss": 4.4587,
+      "mean_token_accuracy": 0.23192314356565474,
+      "num_tokens": 17452276.0,
+      "step": 9575
+    },
+    {
+      "entropy": 5.215310287475586,
+      "epoch": 7.937033968516984,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00010359774348404626,
+      "loss": 4.4939,
+      "mean_token_accuracy": 0.23562314212322236,
+      "num_tokens": 17460706.0,
+      "step": 9580
+    },
+    {
+      "entropy": 5.224613237380981,
+      "epoch": 7.9411764705882355,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.00010339089939771814,
+      "loss": 4.5236,
+      "mean_token_accuracy": 0.23302816599607468,
+      "num_tokens": 17469754.0,
+      "step": 9585
+    },
+    {
+      "entropy": 5.229640674591065,
+      "epoch": 7.945318972659487,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00010318440146569904,
+      "loss": 4.6337,
+      "mean_token_accuracy": 0.21704740524291993,
+      "num_tokens": 17480057.0,
+      "step": 9590
+    },
+    {
+      "entropy": 5.159609174728393,
+      "epoch": 7.949461474730738,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00010297825010451806,
+      "loss": 4.4828,
+      "mean_token_accuracy": 0.2280757188796997,
+      "num_tokens": 17490427.0,
+      "step": 9595
+    },
+    {
+      "entropy": 5.2409614562988285,
+      "epoch": 7.953603976801988,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001027724457300048,
+      "loss": 4.5002,
+      "mean_token_accuracy": 0.22425992041826248,
+      "num_tokens": 17499105.0,
+      "step": 9600
+    },
+    {
+      "entropy": 5.23765196800232,
+      "epoch": 7.957746478873239,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00010256698875728938,
+      "loss": 4.547,
+      "mean_token_accuracy": 0.22590158581733705,
+      "num_tokens": 17508499.0,
+      "step": 9605
+    },
+    {
+      "entropy": 5.163430261611938,
+      "epoch": 7.96188898094449,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00010236187960080084,
+      "loss": 4.4222,
+      "mean_token_accuracy": 0.23525544255971909,
+      "num_tokens": 17516885.0,
+      "step": 9610
+    },
+    {
+      "entropy": 5.1939342498779295,
+      "epoch": 7.966031483015741,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00010215711867426678,
+      "loss": 4.4244,
+      "mean_token_accuracy": 0.23281094878911973,
+      "num_tokens": 17524958.0,
+      "step": 9615
+    },
+    {
+      "entropy": 5.214349365234375,
+      "epoch": 7.970173985086992,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00010195270639071243,
+      "loss": 4.5069,
+      "mean_token_accuracy": 0.2273066148161888,
+      "num_tokens": 17534185.0,
+      "step": 9620
+    },
+    {
+      "entropy": 5.249651336669922,
+      "epoch": 7.9743164871582435,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001017486431624596,
+      "loss": 4.5279,
+      "mean_token_accuracy": 0.23122728317976,
+      "num_tokens": 17542696.0,
+      "step": 9625
+    },
+    {
+      "entropy": 5.185487270355225,
+      "epoch": 7.978458989229495,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00010154492940112624,
+      "loss": 4.4113,
+      "mean_token_accuracy": 0.24716590344905853,
+      "num_tokens": 17552751.0,
+      "step": 9630
+    },
+    {
+      "entropy": 5.29529037475586,
+      "epoch": 7.982601491300746,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00010134156551762519,
+      "loss": 4.5379,
+      "mean_token_accuracy": 0.2170561745762825,
+      "num_tokens": 17561973.0,
+      "step": 9635
+    },
+    {
+      "entropy": 5.267471647262573,
+      "epoch": 7.986743993371997,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00010113855192216359,
+      "loss": 4.5527,
+      "mean_token_accuracy": 0.2246631383895874,
+      "num_tokens": 17571238.0,
+      "step": 9640
+    },
+    {
+      "entropy": 5.232839488983155,
+      "epoch": 7.990886495443248,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00010093588902424217,
+      "loss": 4.4622,
+      "mean_token_accuracy": 0.23793471455574036,
+      "num_tokens": 17580189.0,
+      "step": 9645
+    },
+    {
+      "entropy": 5.242947244644165,
+      "epoch": 7.995028997514499,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00010073357723265398,
+      "loss": 4.5355,
+      "mean_token_accuracy": 0.22305892258882523,
+      "num_tokens": 17590051.0,
+      "step": 9650
+    },
+    {
+      "entropy": 5.258848190307617,
+      "epoch": 7.99917149958575,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00010053161695548418,
+      "loss": 4.5267,
+      "mean_token_accuracy": 0.22477346956729888,
+      "num_tokens": 17599036.0,
+      "step": 9655
+    },
+    {
+      "entropy": 5.2261518955230715,
+      "epoch": 8.003314001657001,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00010033000860010866,
+      "loss": 4.407,
+      "mean_token_accuracy": 0.2392567962408066,
+      "num_tokens": 17608433.0,
+      "step": 9660
+    },
+    {
+      "entropy": 5.227947092056274,
+      "epoch": 8.007456503728251,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001001287525731934,
+      "loss": 4.4214,
+      "mean_token_accuracy": 0.23113029599189758,
+      "num_tokens": 17617696.0,
+      "step": 9665
+    },
+    {
+      "entropy": 5.220786905288696,
+      "epoch": 8.011599005799503,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.992784928069397e-05,
+      "loss": 4.4613,
+      "mean_token_accuracy": 0.23347013741731643,
+      "num_tokens": 17626619.0,
+      "step": 9670
+    },
+    {
+      "entropy": 5.207056665420533,
+      "epoch": 8.015741507870754,
+      "grad_norm": 1.453125,
+      "learning_rate": 9.972729912785411e-05,
+      "loss": 4.3419,
+      "mean_token_accuracy": 0.24283643662929535,
+      "num_tokens": 17635306.0,
+      "step": 9675
+    },
+    {
+      "entropy": 5.166647005081177,
+      "epoch": 8.019884009942006,
+      "grad_norm": 1.5703125,
+      "learning_rate": 9.95271025192055e-05,
+      "loss": 4.3254,
+      "mean_token_accuracy": 0.24794788360595704,
+      "num_tokens": 17643526.0,
+      "step": 9680
+    },
+    {
+      "entropy": 5.258458948135376,
+      "epoch": 8.024026512013256,
+      "grad_norm": 1.484375,
+      "learning_rate": 9.93272598585665e-05,
+      "loss": 4.5109,
+      "mean_token_accuracy": 0.22621739655733109,
+      "num_tokens": 17652474.0,
+      "step": 9685
+    },
+    {
+      "entropy": 5.182386016845703,
+      "epoch": 8.028169014084508,
+      "grad_norm": 1.3828125,
+      "learning_rate": 9.912777154904171e-05,
+      "loss": 4.4387,
+      "mean_token_accuracy": 0.2345404177904129,
+      "num_tokens": 17662025.0,
+      "step": 9690
+    },
+    {
+      "entropy": 5.121964597702027,
+      "epoch": 8.032311516155758,
+      "grad_norm": 1.40625,
+      "learning_rate": 9.89286379930207e-05,
+      "loss": 4.3627,
+      "mean_token_accuracy": 0.24598751664161683,
+      "num_tokens": 17670908.0,
+      "step": 9695
+    },
+    {
+      "entropy": 5.156725072860718,
+      "epoch": 8.036454018227008,
+      "grad_norm": 1.375,
+      "learning_rate": 9.872985959217779e-05,
+      "loss": 4.3483,
+      "mean_token_accuracy": 0.25048859864473344,
+      "num_tokens": 17681242.0,
+      "step": 9700
+    },
+    {
+      "entropy": 5.181863164901733,
+      "epoch": 8.04059652029826,
+      "grad_norm": 1.4921875,
+      "learning_rate": 9.853143674747053e-05,
+      "loss": 4.3156,
+      "mean_token_accuracy": 0.2496207669377327,
+      "num_tokens": 17689816.0,
+      "step": 9705
+    },
+    {
+      "entropy": 5.230922269821167,
+      "epoch": 8.04473902236951,
+      "grad_norm": 1.3984375,
+      "learning_rate": 9.833336985913965e-05,
+      "loss": 4.4079,
+      "mean_token_accuracy": 0.24356723576784134,
+      "num_tokens": 17699251.0,
+      "step": 9710
+    },
+    {
+      "entropy": 5.25123929977417,
+      "epoch": 8.048881524440763,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.813565932670767e-05,
+      "loss": 4.446,
+      "mean_token_accuracy": 0.24057540595531463,
+      "num_tokens": 17708906.0,
+      "step": 9715
+    },
+    {
+      "entropy": 5.302001190185547,
+      "epoch": 8.053024026512013,
+      "grad_norm": 1.4375,
+      "learning_rate": 9.793830554897826e-05,
+      "loss": 4.4337,
+      "mean_token_accuracy": 0.23162751942873,
+      "num_tokens": 17718071.0,
+      "step": 9720
+    },
+    {
+      "entropy": 5.1823859214782715,
+      "epoch": 8.057166528583265,
+      "grad_norm": 1.3515625,
+      "learning_rate": 9.774130892403566e-05,
+      "loss": 4.3382,
+      "mean_token_accuracy": 0.24795254766941072,
+      "num_tokens": 17727690.0,
+      "step": 9725
+    },
+    {
+      "entropy": 5.172320461273193,
+      "epoch": 8.061309030654515,
+      "grad_norm": 1.484375,
+      "learning_rate": 9.754466984924348e-05,
+      "loss": 4.3471,
+      "mean_token_accuracy": 0.2395310789346695,
+      "num_tokens": 17735934.0,
+      "step": 9730
+    },
+    {
+      "entropy": 5.17168607711792,
+      "epoch": 8.065451532725767,
+      "grad_norm": 1.4609375,
+      "learning_rate": 9.734838872124432e-05,
+      "loss": 4.3454,
+      "mean_token_accuracy": 0.24042212218046188,
+      "num_tokens": 17744323.0,
+      "step": 9735
+    },
+    {
+      "entropy": 5.1320466041564945,
+      "epoch": 8.069594034797017,
+      "grad_norm": 1.3515625,
+      "learning_rate": 9.715246593595859e-05,
+      "loss": 4.3431,
+      "mean_token_accuracy": 0.24951379895210266,
+      "num_tokens": 17753335.0,
+      "step": 9740
+    },
+    {
+      "entropy": 5.1748122215271,
+      "epoch": 8.07373653686827,
+      "grad_norm": 1.4609375,
+      "learning_rate": 9.695690188858408e-05,
+      "loss": 4.3963,
+      "mean_token_accuracy": 0.24002762883901596,
+      "num_tokens": 17761952.0,
+      "step": 9745
+    },
+    {
+      "entropy": 5.260321378707886,
+      "epoch": 8.07787903893952,
+      "grad_norm": 1.4765625,
+      "learning_rate": 9.676169697359469e-05,
+      "loss": 4.4649,
+      "mean_token_accuracy": 0.24228229522705078,
+      "num_tokens": 17771341.0,
+      "step": 9750
+    },
+    {
+      "entropy": 5.1761212825775145,
+      "epoch": 8.08202154101077,
+      "grad_norm": 1.328125,
+      "learning_rate": 9.656685158474018e-05,
+      "loss": 4.3596,
+      "mean_token_accuracy": 0.24516458809375763,
+      "num_tokens": 17780289.0,
+      "step": 9755
+    },
+    {
+      "entropy": 5.217165899276734,
+      "epoch": 8.086164043082022,
+      "grad_norm": 1.546875,
+      "learning_rate": 9.63723661150449e-05,
+      "loss": 4.4392,
+      "mean_token_accuracy": 0.23620954900979996,
+      "num_tokens": 17789317.0,
+      "step": 9760
+    },
+    {
+      "entropy": 5.302271842956543,
+      "epoch": 8.090306545153272,
+      "grad_norm": 1.515625,
+      "learning_rate": 9.617824095680742e-05,
+      "loss": 4.4804,
+      "mean_token_accuracy": 0.2370125576853752,
+      "num_tokens": 17797875.0,
+      "step": 9765
+    },
+    {
+      "entropy": 5.219267177581787,
+      "epoch": 8.094449047224524,
+      "grad_norm": 1.3203125,
+      "learning_rate": 9.598447650159931e-05,
+      "loss": 4.4245,
+      "mean_token_accuracy": 0.24013179689645767,
+      "num_tokens": 17806603.0,
+      "step": 9770
+    },
+    {
+      "entropy": 5.327665138244629,
+      "epoch": 8.098591549295774,
+      "grad_norm": 1.46875,
+      "learning_rate": 9.579107314026459e-05,
+      "loss": 4.5079,
+      "mean_token_accuracy": 0.22462410479784012,
+      "num_tokens": 17815747.0,
+      "step": 9775
+    },
+    {
+      "entropy": 5.211456394195556,
+      "epoch": 8.102734051367026,
+      "grad_norm": 1.359375,
+      "learning_rate": 9.559803126291911e-05,
+      "loss": 4.3642,
+      "mean_token_accuracy": 0.23971107304096223,
+      "num_tokens": 17824568.0,
+      "step": 9780
+    },
+    {
+      "entropy": 5.275164175033569,
+      "epoch": 8.106876553438276,
+      "grad_norm": 1.390625,
+      "learning_rate": 9.540535125894931e-05,
+      "loss": 4.4685,
+      "mean_token_accuracy": 0.24380181431770326,
+      "num_tokens": 17834244.0,
+      "step": 9785
+    },
+    {
+      "entropy": 5.198601388931275,
+      "epoch": 8.111019055509528,
+      "grad_norm": 1.46875,
+      "learning_rate": 9.521303351701193e-05,
+      "loss": 4.3476,
+      "mean_token_accuracy": 0.24773648232221604,
+      "num_tokens": 17843285.0,
+      "step": 9790
+    },
+    {
+      "entropy": 5.232069730758667,
+      "epoch": 8.115161557580779,
+      "grad_norm": 1.390625,
+      "learning_rate": 9.502107842503282e-05,
+      "loss": 4.4455,
+      "mean_token_accuracy": 0.24342902153730392,
+      "num_tokens": 17852379.0,
+      "step": 9795
+    },
+    {
+      "entropy": 5.213220930099487,
+      "epoch": 8.11930405965203,
+      "grad_norm": 1.4375,
+      "learning_rate": 9.48294863702063e-05,
+      "loss": 4.3962,
+      "mean_token_accuracy": 0.24655861258506775,
+      "num_tokens": 17861948.0,
+      "step": 9800
+    },
+    {
+      "entropy": 5.206108331680298,
+      "epoch": 8.12344656172328,
+      "grad_norm": 1.40625,
+      "learning_rate": 9.463825773899465e-05,
+      "loss": 4.3549,
+      "mean_token_accuracy": 0.24822819530963897,
+      "num_tokens": 17870445.0,
+      "step": 9805
+    },
+    {
+      "entropy": 5.2526586055755615,
+      "epoch": 8.127589063794533,
+      "grad_norm": 1.3984375,
+      "learning_rate": 9.444739291712673e-05,
+      "loss": 4.4184,
+      "mean_token_accuracy": 0.2502383813261986,
+      "num_tokens": 17879380.0,
+      "step": 9810
+    },
+    {
+      "entropy": 5.200527477264404,
+      "epoch": 8.131731565865783,
+      "grad_norm": 1.3671875,
+      "learning_rate": 9.425689228959791e-05,
+      "loss": 4.4375,
+      "mean_token_accuracy": 0.23672084957361222,
+      "num_tokens": 17888631.0,
+      "step": 9815
+    },
+    {
+      "entropy": 5.180902576446533,
+      "epoch": 8.135874067937033,
+      "grad_norm": 1.390625,
+      "learning_rate": 9.406675624066868e-05,
+      "loss": 4.3782,
+      "mean_token_accuracy": 0.2451987087726593,
+      "num_tokens": 17898541.0,
+      "step": 9820
+    },
+    {
+      "entropy": 5.233185815811157,
+      "epoch": 8.140016570008285,
+      "grad_norm": 1.5078125,
+      "learning_rate": 9.38769851538642e-05,
+      "loss": 4.3855,
+      "mean_token_accuracy": 0.24561118185520173,
+      "num_tokens": 17906664.0,
+      "step": 9825
+    },
+    {
+      "entropy": 5.207144069671631,
+      "epoch": 8.144159072079535,
+      "grad_norm": 1.4609375,
+      "learning_rate": 9.368757941197356e-05,
+      "loss": 4.3938,
+      "mean_token_accuracy": 0.24579526335000992,
+      "num_tokens": 17916201.0,
+      "step": 9830
+    },
+    {
+      "entropy": 5.240351390838623,
+      "epoch": 8.148301574150787,
+      "grad_norm": 1.2734375,
+      "learning_rate": 9.34985393970488e-05,
+      "loss": 4.4433,
+      "mean_token_accuracy": 0.23590292483568193,
+      "num_tokens": 17925700.0,
+      "step": 9835
+    },
+    {
+      "entropy": 5.180185317993164,
+      "epoch": 8.152444076222038,
+      "grad_norm": 1.421875,
+      "learning_rate": 9.330986549040432e-05,
+      "loss": 4.3908,
+      "mean_token_accuracy": 0.24027481973171233,
+      "num_tokens": 17934293.0,
+      "step": 9840
+    },
+    {
+      "entropy": 5.178470325469971,
+      "epoch": 8.15658657829329,
+      "grad_norm": 1.34375,
+      "learning_rate": 9.312155807261602e-05,
+      "loss": 4.4131,
+      "mean_token_accuracy": 0.2327113226056099,
+      "num_tokens": 17943541.0,
+      "step": 9845
+    },
+    {
+      "entropy": 5.2424520492553714,
+      "epoch": 8.16072908036454,
+      "grad_norm": 1.2890625,
+      "learning_rate": 9.293361752352045e-05,
+      "loss": 4.4064,
+      "mean_token_accuracy": 0.24514926224946976,
+      "num_tokens": 17952616.0,
+      "step": 9850
+    },
+    {
+      "entropy": 5.255953550338745,
+      "epoch": 8.164871582435792,
+      "grad_norm": 1.328125,
+      "learning_rate": 9.274604422221433e-05,
+      "loss": 4.3449,
+      "mean_token_accuracy": 0.2437419757246971,
+      "num_tokens": 17961414.0,
+      "step": 9855
+    },
+    {
+      "entropy": 5.2429039001464846,
+      "epoch": 8.169014084507042,
+      "grad_norm": 1.421875,
+      "learning_rate": 9.255883854705344e-05,
+      "loss": 4.4505,
+      "mean_token_accuracy": 0.23757243603467942,
+      "num_tokens": 17972077.0,
+      "step": 9860
+    },
+    {
+      "entropy": 5.207650089263916,
+      "epoch": 8.173156586578294,
+      "grad_norm": 1.4375,
+      "learning_rate": 9.237200087565217e-05,
+      "loss": 4.3777,
+      "mean_token_accuracy": 0.2455221474170685,
+      "num_tokens": 17980303.0,
+      "step": 9865
+    },
+    {
+      "entropy": 5.269549179077148,
+      "epoch": 8.177299088649544,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.218553158488238e-05,
+      "loss": 4.4719,
+      "mean_token_accuracy": 0.23264755457639694,
+      "num_tokens": 17990410.0,
+      "step": 9870
+    },
+    {
+      "entropy": 5.2003992080688475,
+      "epoch": 8.181441590720794,
+      "grad_norm": 1.390625,
+      "learning_rate": 9.199943105087319e-05,
+      "loss": 4.351,
+      "mean_token_accuracy": 0.24489290416240692,
+      "num_tokens": 17998931.0,
+      "step": 9875
+    },
+    {
+      "entropy": 5.211326789855957,
+      "epoch": 8.185584092792046,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.181369964900957e-05,
+      "loss": 4.4133,
+      "mean_token_accuracy": 0.24307847917079925,
+      "num_tokens": 18007853.0,
+      "step": 9880
+    },
+    {
+      "entropy": 5.2086700916290285,
+      "epoch": 8.189726594863297,
+      "grad_norm": 1.421875,
+      "learning_rate": 9.162833775393209e-05,
+      "loss": 4.3599,
+      "mean_token_accuracy": 0.2421637535095215,
+      "num_tokens": 18016517.0,
+      "step": 9885
+    },
+    {
+      "entropy": 5.26172833442688,
+      "epoch": 8.193869096934549,
+      "grad_norm": 1.4609375,
+      "learning_rate": 9.1443345739536e-05,
+      "loss": 4.4611,
+      "mean_token_accuracy": 0.2355372652411461,
+      "num_tokens": 18025057.0,
+      "step": 9890
+    },
+    {
+      "entropy": 5.222227954864502,
+      "epoch": 8.198011599005799,
+      "grad_norm": 1.4375,
+      "learning_rate": 9.12587239789703e-05,
+      "loss": 4.4596,
+      "mean_token_accuracy": 0.23549663424491882,
+      "num_tokens": 18034371.0,
+      "step": 9895
+    },
+    {
+      "entropy": 5.189918756484985,
+      "epoch": 8.202154101077051,
+      "grad_norm": 1.4453125,
+      "learning_rate": 9.10744728446374e-05,
+      "loss": 4.4308,
+      "mean_token_accuracy": 0.23917066752910615,
+      "num_tokens": 18043354.0,
+      "step": 9900
+    },
+    {
+      "entropy": 5.180388689041138,
+      "epoch": 8.206296603148301,
+      "grad_norm": 1.484375,
+      "learning_rate": 9.089059270819187e-05,
+      "loss": 4.3861,
+      "mean_token_accuracy": 0.2423325479030609,
+      "num_tokens": 18051879.0,
+      "step": 9905
+    },
+    {
+      "entropy": 5.280764532089234,
+      "epoch": 8.210439105219553,
+      "grad_norm": 1.359375,
+      "learning_rate": 9.070708394054005e-05,
+      "loss": 4.4389,
+      "mean_token_accuracy": 0.23874785751104355,
+      "num_tokens": 18062011.0,
+      "step": 9910
+    },
+    {
+      "entropy": 5.26232795715332,
+      "epoch": 8.214581607290803,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.052394691183921e-05,
+      "loss": 4.5075,
+      "mean_token_accuracy": 0.2256281480193138,
+      "num_tokens": 18071692.0,
+      "step": 9915
+    },
+    {
+      "entropy": 5.1943741798400875,
+      "epoch": 8.218724109362055,
+      "grad_norm": 1.3359375,
+      "learning_rate": 9.03411819914967e-05,
+      "loss": 4.3481,
+      "mean_token_accuracy": 0.24199035614728928,
+      "num_tokens": 18080646.0,
+      "step": 9920
+    },
+    {
+      "entropy": 5.1856715202331545,
+      "epoch": 8.222866611433306,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.015878954816941e-05,
+      "loss": 4.3647,
+      "mean_token_accuracy": 0.24757557958364487,
+      "num_tokens": 18088788.0,
+      "step": 9925
+    },
+    {
+      "entropy": 5.228688716888428,
+      "epoch": 8.227009113504558,
+      "grad_norm": 1.453125,
+      "learning_rate": 8.997676994976281e-05,
+      "loss": 4.4286,
+      "mean_token_accuracy": 0.23555690944194793,
+      "num_tokens": 18098319.0,
+      "step": 9930
+    },
+    {
+      "entropy": 5.214864444732666,
+      "epoch": 8.231151615575808,
+      "grad_norm": 1.34375,
+      "learning_rate": 8.979512356343023e-05,
+      "loss": 4.4766,
+      "mean_token_accuracy": 0.23683355748653412,
+      "num_tokens": 18107740.0,
+      "step": 9935
+    },
+    {
+      "entropy": 5.220425271987915,
+      "epoch": 8.235294117647058,
+      "grad_norm": 1.4453125,
+      "learning_rate": 8.961385075557243e-05,
+      "loss": 4.4552,
+      "mean_token_accuracy": 0.2304172098636627,
+      "num_tokens": 18117762.0,
+      "step": 9940
+    },
+    {
+      "entropy": 5.15520453453064,
+      "epoch": 8.23943661971831,
+      "grad_norm": 1.5,
+      "learning_rate": 8.943295189183632e-05,
+      "loss": 4.3286,
+      "mean_token_accuracy": 0.24465882033109665,
+      "num_tokens": 18126212.0,
+      "step": 9945
+    },
+    {
+      "entropy": 5.267645978927613,
+      "epoch": 8.24357912178956,
+      "grad_norm": 1.53125,
+      "learning_rate": 8.925242733711484e-05,
+      "loss": 4.4863,
+      "mean_token_accuracy": 0.23138361871242524,
+      "num_tokens": 18135622.0,
+      "step": 9950
+    },
+    {
+      "entropy": 5.260131311416626,
+      "epoch": 8.247721623860812,
+      "grad_norm": 1.5078125,
+      "learning_rate": 8.90722774555456e-05,
+      "loss": 4.4379,
+      "mean_token_accuracy": 0.23949550539255143,
+      "num_tokens": 18144768.0,
+      "step": 9955
+    },
+    {
+      "entropy": 5.2012913703918455,
+      "epoch": 8.251864125932062,
+      "grad_norm": 1.4296875,
+      "learning_rate": 8.889250261051063e-05,
+      "loss": 4.4585,
+      "mean_token_accuracy": 0.24050324261188508,
+      "num_tokens": 18155107.0,
+      "step": 9960
+    },
+    {
+      "entropy": 5.184732866287232,
+      "epoch": 8.256006628003314,
+      "grad_norm": 1.328125,
+      "learning_rate": 8.871310316463554e-05,
+      "loss": 4.414,
+      "mean_token_accuracy": 0.2437386229634285,
+      "num_tokens": 18164064.0,
+      "step": 9965
+    },
+    {
+      "entropy": 5.180590391159058,
+      "epoch": 8.260149130074565,
+      "grad_norm": 1.5234375,
+      "learning_rate": 8.853407947978845e-05,
+      "loss": 4.4594,
+      "mean_token_accuracy": 0.22373423725366592,
+      "num_tokens": 18172714.0,
+      "step": 9970
+    },
+    {
+      "entropy": 5.212049150466919,
+      "epoch": 8.264291632145817,
+      "grad_norm": 1.2890625,
+      "learning_rate": 8.835543191707982e-05,
+      "loss": 4.4596,
+      "mean_token_accuracy": 0.23423371762037276,
+      "num_tokens": 18182158.0,
+      "step": 9975
+    },
+    {
+      "entropy": 5.2256406307220455,
+      "epoch": 8.268434134217067,
+      "grad_norm": 1.5390625,
+      "learning_rate": 8.81771608368613e-05,
+      "loss": 4.4242,
+      "mean_token_accuracy": 0.23679217398166658,
+      "num_tokens": 18190605.0,
+      "step": 9980
+    },
+    {
+      "entropy": 5.228875350952149,
+      "epoch": 8.272576636288319,
+      "grad_norm": 1.484375,
+      "learning_rate": 8.799926659872507e-05,
+      "loss": 4.603,
+      "mean_token_accuracy": 0.2188064604997635,
+      "num_tokens": 18199992.0,
+      "step": 9985
+    },
+    {
+      "entropy": 5.269665288925171,
+      "epoch": 8.276719138359569,
+      "grad_norm": 1.453125,
+      "learning_rate": 8.782174956150335e-05,
+      "loss": 4.443,
+      "mean_token_accuracy": 0.2395315259695053,
+      "num_tokens": 18208641.0,
+      "step": 9990
+    },
+    {
+      "entropy": 5.248885774612427,
+      "epoch": 8.280861640430821,
+      "grad_norm": 1.359375,
+      "learning_rate": 8.764461008326723e-05,
+      "loss": 4.4454,
+      "mean_token_accuracy": 0.23489948213100434,
+      "num_tokens": 18218355.0,
+      "step": 9995
+    },
+    {
+      "entropy": 5.2219267845153805,
+      "epoch": 8.285004142502071,
+      "grad_norm": 1.4296875,
+      "learning_rate": 8.746784852132661e-05,
+      "loss": 4.4601,
+      "mean_token_accuracy": 0.23617841601371764,
+      "num_tokens": 18227217.0,
+      "step": 10000
+    },
+    {
+      "epoch": 8.285004142502071,
+      "eval_entropy": 5.130554149399942,
+      "eval_loss": 5.7228922843933105,
+      "eval_mean_token_accuracy": 0.16913784141225346,
+      "eval_num_tokens": 18227217.0,
+      "eval_runtime": 2.7555,
+      "eval_samples_per_second": 1359.835,
+      "eval_steps_per_second": 170.206,
+      "step": 10000
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 12060,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 2.7195422688e+16,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}
diff --git a/checkpoint-10000/training_args.bin b/checkpoint-10000/training_args.bin
new file mode 100644
index 0000000..47a7b32
--- /dev/null
+++ b/checkpoint-10000/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e406e906697be5d5c4bea7f90a038122ca162eb6b7e40512a32661ef55af9075
+size 6353
diff --git a/checkpoint-10500/added_tokens.json b/checkpoint-10500/added_tokens.json
new file mode 100644
index 0000000..b3dbcdb
--- /dev/null
+++ b/checkpoint-10500/added_tokens.json
@@ -0,0 +1,1202 @@
+{
+  "<pad>": 50002,
+  "[CLS]": 50000,
+  "[MASK]": 50003,
+  "[SEP]": 50001,
+  "[XXXXX0]": 50771,
+  "[XXXXX1000]": 50549,
+  "[XXXXX1001]": 50657,
+  "[XXXXX1002]": 51158,
+  "[XXXXX1003]": 51044,
+  "[XXXXX1004]": 50688,
+  "[XXXXX1005]": 50689,
+  "[XXXXX1006]": 50410,
+  "[XXXXX1007]": 50724,
+  "[XXXXX1008]": 50171,
+  "[XXXXX1009]": 51077,
+  "[XXXXX100]": 50091,
+  "[XXXXX1010]": 50639,
+  "[XXXXX1011]": 51094,
+  "[XXXXX1012]": 50392,
+  "[XXXXX1013]": 50626,
+  "[XXXXX1014]": 50991,
+  "[XXXXX1015]": 50529,
+  "[XXXXX1016]": 51193,
+  "[XXXXX1017]": 51073,
+  "[XXXXX1018]": 51104,
+  "[XXXXX1019]": 50775,
+  "[XXXXX101]": 50139,
+  "[XXXXX1020]": 50157,
+  "[XXXXX1021]": 50934,
+  "[XXXXX1022]": 51159,
+  "[XXXXX1023]": 50048,
+  "[XXXXX1024]": 51123,
+  "[XXXXX1025]": 50084,
+  "[XXXXX1026]": 50813,
+  "[XXXXX1027]": 50725,
+  "[XXXXX1028]": 50931,
+  "[XXXXX1029]": 50233,
+  "[XXXXX102]": 50213,
+  "[XXXXX1030]": 51023,
+  "[XXXXX1031]": 50098,
+  "[XXXXX1032]": 50802,
+  "[XXXXX1033]": 50061,
+  "[XXXXX1034]": 51139,
+  "[XXXXX1035]": 51110,
+  "[XXXXX1036]": 50204,
+  "[XXXXX1037]": 50023,
+  "[XXXXX1038]": 50142,
+  "[XXXXX1039]": 50328,
+  "[XXXXX103]": 50087,
+  "[XXXXX1040]": 50435,
+  "[XXXXX1041]": 50489,
+  "[XXXXX1042]": 50216,
+  "[XXXXX1043]": 50144,
+  "[XXXXX1044]": 50832,
+  "[XXXXX1045]": 50566,
+  "[XXXXX1046]": 50922,
+  "[XXXXX1047]": 50796,
+  "[XXXXX1048]": 50533,
+  "[XXXXX1049]": 50433,
+  "[XXXXX104]": 50478,
+  "[XXXXX1050]": 50953,
+  "[XXXXX1051]": 50497,
+  "[XXXXX1052]": 50655,
+  "[XXXXX1053]": 50881,
+  "[XXXXX1054]": 50461,
+  "[XXXXX1055]": 50052,
+  "[XXXXX1056]": 50219,
+  "[XXXXX1057]": 50789,
+  "[XXXXX1058]": 50121,
+  "[XXXXX1059]": 51002,
+  "[XXXXX105]": 51192,
+  "[XXXXX1060]": 50158,
+  "[XXXXX1061]": 50352,
+  "[XXXXX1062]": 50637,
+  "[XXXXX1063]": 50440,
+  "[XXXXX1064]": 50590,
+  "[XXXXX1065]": 51107,
+  "[XXXXX1066]": 50758,
+  "[XXXXX1067]": 51011,
+  "[XXXXX1068]": 50985,
+  "[XXXXX1069]": 51175,
+  "[XXXXX106]": 50532,
+  "[XXXXX1070]": 50790,
+  "[XXXXX1071]": 50394,
+  "[XXXXX1072]": 50852,
+  "[XXXXX1073]": 50869,
+  "[XXXXX1074]": 50126,
+  "[XXXXX1075]": 50783,
+  "[XXXXX1076]": 50806,
+  "[XXXXX1077]": 50882,
+  "[XXXXX1078]": 50726,
+  "[XXXXX1079]": 51010,
+  "[XXXXX107]": 50714,
+  "[XXXXX1080]": 50168,
+  "[XXXXX1081]": 50425,
+  "[XXXXX1082]": 50848,
+  "[XXXXX1083]": 50014,
+  "[XXXXX1084]": 50341,
+  "[XXXXX1085]": 50734,
+  "[XXXXX1086]": 50664,
+  "[XXXXX1087]": 51007,
+  "[XXXXX1088]": 51151,
+  "[XXXXX1089]": 50269,
+  "[XXXXX108]": 50996,
+  "[XXXXX1090]": 50826,
+  "[XXXXX1091]": 51105,
+  "[XXXXX1092]": 50731,
+  "[XXXXX1093]": 50856,
+  "[XXXXX1094]": 50369,
+  "[XXXXX1095]": 50065,
+  "[XXXXX1096]": 50309,
+  "[XXXXX1097]": 50838,
+  "[XXXXX1098]": 50451,
+  "[XXXXX1099]": 50384,
+  "[XXXXX109]": 50543,
+  "[XXXXX10]": 50325,
+  "[XXXXX1100]": 50318,
+  "[XXXXX1101]": 50764,
+  "[XXXXX1102]": 51025,
+  "[XXXXX1103]": 50642,
+  "[XXXXX1104]": 50665,
+  "[XXXXX1105]": 50855,
+  "[XXXXX1106]": 51063,
+  "[XXXXX1107]": 50025,
+  "[XXXXX1108]": 50122,
+  "[XXXXX1109]": 50470,
+  "[XXXXX110]": 50062,
+  "[XXXXX1110]": 51019,
+  "[XXXXX1111]": 51124,
+  "[XXXXX1112]": 50146,
+  "[XXXXX1113]": 51125,
+  "[XXXXX1114]": 50434,
+  "[XXXXX1115]": 50818,
+  "[XXXXX1116]": 50960,
+  "[XXXXX1117]": 50258,
+  "[XXXXX1118]": 50596,
+  "[XXXXX1119]": 50083,
+  "[XXXXX111]": 51064,
+  "[XXXXX1120]": 50915,
+  "[XXXXX1121]": 50835,
+  "[XXXXX1122]": 51056,
+  "[XXXXX1123]": 50172,
+  "[XXXXX1124]": 50972,
+  "[XXXXX1125]": 50275,
+  "[XXXXX1126]": 50430,
+  "[XXXXX1127]": 50743,
+  "[XXXXX1128]": 50551,
+  "[XXXXX1129]": 50439,
+  "[XXXXX112]": 50819,
+  "[XXXXX1130]": 50536,
+  "[XXXXX1131]": 50622,
+  "[XXXXX1132]": 50623,
+  "[XXXXX1133]": 50117,
+  "[XXXXX1134]": 50251,
+  "[XXXXX1135]": 50678,
+  "[XXXXX1136]": 50316,
+  "[XXXXX1137]": 50905,
+  "[XXXXX1138]": 50992,
+  "[XXXXX1139]": 50851,
+  "[XXXXX113]": 50443,
+  "[XXXXX1140]": 50499,
+  "[XXXXX1141]": 50629,
+  "[XXXXX1142]": 50944,
+  "[XXXXX1143]": 50373,
+  "[XXXXX1144]": 50123,
+  "[XXXXX1145]": 50173,
+  "[XXXXX1146]": 50891,
+  "[XXXXX1147]": 50471,
+  "[XXXXX1148]": 50560,
+  "[XXXXX1149]": 50541,
+  "[XXXXX114]": 50631,
+  "[XXXXX1150]": 50033,
+  "[XXXXX1151]": 50063,
+  "[XXXXX1152]": 50767,
+  "[XXXXX1153]": 50897,
+  "[XXXXX1154]": 50568,
+  "[XXXXX1155]": 51131,
+  "[XXXXX1156]": 50009,
+  "[XXXXX1157]": 50417,
+  "[XXXXX1158]": 50477,
+  "[XXXXX1159]": 50941,
+  "[XXXXX115]": 50294,
+  "[XXXXX1160]": 50679,
+  "[XXXXX1161]": 51108,
+  "[XXXXX1162]": 50332,
+  "[XXXXX1163]": 50424,
+  "[XXXXX1164]": 50473,
+  "[XXXXX1165]": 50793,
+  "[XXXXX1166]": 50453,
+  "[XXXXX1167]": 50807,
+  "[XXXXX1168]": 50128,
+  "[XXXXX1169]": 50039,
+  "[XXXXX116]": 50759,
+  "[XXXXX1170]": 50735,
+  "[XXXXX1171]": 50366,
+  "[XXXXX1172]": 50808,
+  "[XXXXX1173]": 50426,
+  "[XXXXX1174]": 50076,
+  "[XXXXX1175]": 50943,
+  "[XXXXX1176]": 50252,
+  "[XXXXX1177]": 50999,
+  "[XXXXX1178]": 50264,
+  "[XXXXX1179]": 50607,
+  "[XXXXX117]": 51036,
+  "[XXXXX1180]": 50986,
+  "[XXXXX1181]": 50744,
+  "[XXXXX1182]": 50186,
+  "[XXXXX1183]": 50555,
+  "[XXXXX1184]": 51076,
+  "[XXXXX1185]": 50849,
+  "[XXXXX1186]": 51128,
+  "[XXXXX1187]": 50858,
+  "[XXXXX1188]": 50656,
+  "[XXXXX1189]": 50064,
+  "[XXXXX118]": 50081,
+  "[XXXXX1190]": 51197,
+  "[XXXXX1191]": 50104,
+  "[XXXXX1192]": 50045,
+  "[XXXXX1193]": 50404,
+  "[XXXXX1194]": 50690,
+  "[XXXXX1195]": 50495,
+  "[XXXXX119]": 50108,
+  "[XXXXX11]": 50976,
+  "[XXXXX120]": 51081,
+  "[XXXXX121]": 50464,
+  "[XXXXX122]": 50829,
+  "[XXXXX123]": 50766,
+  "[XXXXX124]": 50732,
+  "[XXXXX125]": 50221,
+  "[XXXXX126]": 50810,
+  "[XXXXX127]": 50130,
+  "[XXXXX128]": 50751,
+  "[XXXXX129]": 50662,
+  "[XXXXX12]": 50602,
+  "[XXXXX130]": 50035,
+  "[XXXXX131]": 50715,
+  "[XXXXX132]": 50340,
+  "[XXXXX133]": 50563,
+  "[XXXXX134]": 50993,
+  "[XXXXX135]": 50304,
+  "[XXXXX136]": 50131,
+  "[XXXXX137]": 50578,
+  "[XXXXX138]": 50757,
+  "[XXXXX139]": 50582,
+  "[XXXXX13]": 50105,
+  "[XXXXX140]": 50085,
+  "[XXXXX141]": 50553,
+  "[XXXXX142]": 50749,
+  "[XXXXX143]": 50351,
+  "[XXXXX144]": 51024,
+  "[XXXXX145]": 51144,
+  "[XXXXX146]": 50042,
+  "[XXXXX147]": 50145,
+  "[XXXXX148]": 50066,
+  "[XXXXX149]": 50876,
+  "[XXXXX14]": 51006,
+  "[XXXXX150]": 50280,
+  "[XXXXX151]": 50093,
+  "[XXXXX152]": 50638,
+  "[XXXXX153]": 50684,
+  "[XXXXX154]": 50820,
+  "[XXXXX155]": 51196,
+  "[XXXXX156]": 50317,
+  "[XXXXX157]": 50284,
+  "[XXXXX158]": 50288,
+  "[XXXXX159]": 50814,
+  "[XXXXX15]": 50608,
+  "[XXXXX160]": 50004,
+  "[XXXXX161]": 50008,
+  "[XXXXX162]": 50377,
+  "[XXXXX163]": 50214,
+  "[XXXXX164]": 50708,
+  "[XXXXX165]": 50390,
+  "[XXXXX166]": 50741,
+  "[XXXXX167]": 50445,
+  "[XXXXX168]": 50936,
+  "[XXXXX169]": 50896,
+  "[XXXXX16]": 50442,
+  "[XXXXX170]": 50109,
+  "[XXXXX171]": 50140,
+  "[XXXXX172]": 50427,
+  "[XXXXX173]": 51074,
+  "[XXXXX174]": 50162,
+  "[XXXXX175]": 51015,
+  "[XXXXX176]": 50524,
+  "[XXXXX177]": 50673,
+  "[XXXXX178]": 50054,
+  "[XXXXX179]": 50805,
+  "[XXXXX17]": 50482,
+  "[XXXXX180]": 50253,
+  "[XXXXX181]": 50493,
+  "[XXXXX182]": 50421,
+  "[XXXXX183]": 51050,
+  "[XXXXX184]": 50521,
+  "[XXXXX185]": 50188,
+  "[XXXXX186]": 50147,
+  "[XXXXX187]": 50201,
+  "[XXXXX188]": 50973,
+  "[XXXXX189]": 50409,
+  "[XXXXX18]": 50115,
+  "[XXXXX190]": 50051,
+  "[XXXXX191]": 51020,
+  "[XXXXX192]": 51047,
+  "[XXXXX193]": 50669,
+  "[XXXXX194]": 50643,
+  "[XXXXX195]": 50159,
+  "[XXXXX196]": 50649,
+  "[XXXXX197]": 51178,
+  "[XXXXX198]": 50043,
+  "[XXXXX199]": 51147,
+  "[XXXXX19]": 51127,
+  "[XXXXX1]": 51114,
+  "[XXXXX200]": 50840,
+  "[XXXXX201]": 50365,
+  "[XXXXX202]": 50232,
+  "[XXXXX203]": 50241,
+  "[XXXXX204]": 50548,
+  "[XXXXX205]": 50781,
+  "[XXXXX206]": 50923,
+  "[XXXXX207]": 51115,
+  "[XXXXX208]": 50344,
+  "[XXXXX209]": 50299,
+  "[XXXXX20]": 51031,
+  "[XXXXX210]": 51179,
+  "[XXXXX211]": 51163,
+  "[XXXXX212]": 50562,
+  "[XXXXX213]": 50094,
+  "[XXXXX214]": 50257,
+  "[XXXXX215]": 50967,
+  "[XXXXX216]": 50523,
+  "[XXXXX217]": 51132,
+  "[XXXXX218]": 51146,
+  "[XXXXX219]": 50411,
+  "[XXXXX21]": 50354,
+  "[XXXXX220]": 50853,
+  "[XXXXX221]": 50886,
+  "[XXXXX222]": 50600,
+  "[XXXXX223]": 50873,
+  "[XXXXX224]": 50416,
+  "[XXXXX225]": 50675,
+  "[XXXXX226]": 50583,
+  "[XXXXX227]": 50151,
+  "[XXXXX228]": 50927,
+  "[XXXXX229]": 50609,
+  "[XXXXX22]": 50589,
+  "[XXXXX230]": 50238,
+  "[XXXXX231]": 50242,
+  "[XXXXX232]": 51016,
+  "[XXXXX233]": 50406,
+  "[XXXXX234]": 50908,
+  "[XXXXX235]": 50024,
+  "[XXXXX236]": 50270,
+  "[XXXXX237]": 50132,
+  "[XXXXX238]": 50800,
+  "[XXXXX239]": 50236,
+  "[XXXXX23]": 50007,
+  "[XXXXX240]": 50005,
+  "[XXXXX241]": 50894,
+  "[XXXXX242]": 50694,
+  "[XXXXX243]": 51071,
+  "[XXXXX244]": 51017,
+  "[XXXXX245]": 50068,
+  "[XXXXX246]": 50682,
+  "[XXXXX247]": 50913,
+  "[XXXXX248]": 51028,
+  "[XXXXX249]": 50037,
+  "[XXXXX24]": 51169,
+  "[XXXXX250]": 50747,
+  "[XXXXX251]": 50947,
+  "[XXXXX252]": 50329,
+  "[XXXXX253]": 50612,
+  "[XXXXX254]": 50110,
+  "[XXXXX255]": 50824,
+  "[XXXXX256]": 50558,
+  "[XXXXX257]": 50969,
+  "[XXXXX258]": 50729,
+  "[XXXXX259]": 50125,
+  "[XXXXX25]": 51160,
+  "[XXXXX260]": 50040,
+  "[XXXXX261]": 51038,
+  "[XXXXX262]": 50347,
+  "[XXXXX263]": 50740,
+  "[XXXXX264]": 51195,
+  "[XXXXX265]": 50879,
+  "[XXXXX266]": 50770,
+  "[XXXXX267]": 50178,
+  "[XXXXX268]": 50804,
+  "[XXXXX269]": 50906,
+  "[XXXXX26]": 50150,
+  "[XXXXX270]": 51191,
+  "[XXXXX271]": 50047,
+  "[XXXXX272]": 50195,
+  "[XXXXX273]": 50554,
+  "[XXXXX274]": 50833,
+  "[XXXXX275]": 50346,
+  "[XXXXX276]": 50950,
+  "[XXXXX277]": 50864,
+  "[XXXXX278]": 50259,
+  "[XXXXX279]": 50671,
+  "[XXXXX27]": 50468,
+  "[XXXXX280]": 50082,
+  "[XXXXX281]": 50565,
+  "[XXXXX282]": 50984,
+  "[XXXXX283]": 50650,
+  "[XXXXX284]": 50975,
+  "[XXXXX285]": 50603,
+  "[XXXXX286]": 50027,
+  "[XXXXX287]": 50181,
+  "[XXXXX288]": 50981,
+  "[XXXXX289]": 50885,
+  "[XXXXX28]": 50249,
+  "[XXXXX290]": 50522,
+  "[XXXXX291]": 50050,
+  "[XXXXX292]": 50313,
+  "[XXXXX293]": 50503,
+  "[XXXXX294]": 51176,
+  "[XXXXX295]": 51177,
+  "[XXXXX296]": 50379,
+  "[XXXXX297]": 50635,
+  "[XXXXX298]": 50723,
+  "[XXXXX299]": 50200,
+  "[XXXXX29]": 50892,
+  "[XXXXX2]": 51119,
+  "[XXXXX300]": 51026,
+  "[XXXXX301]": 50528,
+  "[XXXXX302]": 51149,
+  "[XXXXX303]": 50044,
+  "[XXXXX304]": 50209,
+  "[XXXXX305]": 50988,
+  "[XXXXX306]": 50518,
+  "[XXXXX307]": 50088,
+  "[XXXXX308]": 50733,
+  "[XXXXX309]": 51066,
+  "[XXXXX30]": 50506,
+  "[XXXXX310]": 50285,
+  "[XXXXX311]": 50859,
+  "[XXXXX312]": 50263,
+  "[XXXXX313]": 50594,
+  "[XXXXX314]": 51103,
+  "[XXXXX315]": 50871,
+  "[XXXXX316]": 50300,
+  "[XXXXX317]": 50760,
+  "[XXXXX318]": 50055,
+  "[XXXXX319]": 50389,
+  "[XXXXX31]": 50212,
+  "[XXXXX320]": 50444,
+  "[XXXXX321]": 50994,
+  "[XXXXX322]": 50281,
+  "[XXXXX323]": 50179,
+  "[XXXXX324]": 50455,
+  "[XXXXX325]": 50970,
+  "[XXXXX326]": 50666,
+  "[XXXXX327]": 50604,
+  "[XXXXX328]": 50627,
+  "[XXXXX329]": 50475,
+  "[XXXXX32]": 50277,
+  "[XXXXX330]": 50667,
+  "[XXXXX331]": 50348,
+  "[XXXXX332]": 50772,
+  "[XXXXX333]": 50163,
+  "[XXXXX334]": 50569,
+  "[XXXXX335]": 50018,
+  "[XXXXX336]": 50883,
+  "[XXXXX337]": 50067,
+  "[XXXXX338]": 51184,
+  "[XXXXX339]": 50997,
+  "[XXXXX33]": 50403,
+  "[XXXXX340]": 51013,
+  "[XXXXX341]": 50957,
+  "[XXXXX342]": 51106,
+  "[XXXXX343]": 51174,
+  "[XXXXX344]": 50391,
+  "[XXXXX345]": 50948,
+  "[XXXXX346]": 50180,
+  "[XXXXX347]": 50811,
+  "[XXXXX348]": 50401,
+  "[XXXXX349]": 50911,
+  "[XXXXX34]": 50223,
+  "[XXXXX350]": 51089,
+  "[XXXXX351]": 50777,
+  "[XXXXX352]": 50189,
+  "[XXXXX353]": 50492,
+  "[XXXXX354]": 50205,
+  "[XXXXX355]": 50374,
+  "[XXXXX356]": 51152,
+  "[XXXXX357]": 50695,
+  "[XXXXX358]": 51117,
+  "[XXXXX359]": 50573,
+  "[XXXXX35]": 50752,
+  "[XXXXX360]": 50955,
+  "[XXXXX361]": 50349,
+  "[XXXXX362]": 51137,
+  "[XXXXX363]": 50641,
+  "[XXXXX364]": 51148,
+  "[XXXXX365]": 50255,
+  "[XXXXX366]": 50310,
+  "[XXXXX367]": 50314,
+  "[XXXXX368]": 50971,
+  "[XXXXX369]": 50916,
+  "[XXXXX36]": 50437,
+  "[XXXXX370]": 51096,
+  "[XXXXX371]": 50557,
+  "[XXXXX372]": 51095,
+  "[XXXXX373]": 50382,
+  "[XXXXX374]": 50119,
+  "[XXXXX375]": 50958,
+  "[XXXXX376]": 50624,
+  "[XXXXX377]": 50483,
+  "[XXXXX378]": 50605,
+  "[XXXXX379]": 50017,
+  "[XXXXX37]": 50706,
+  "[XXXXX380]": 50246,
+  "[XXXXX381]": 50588,
+  "[XXXXX382]": 51008,
+  "[XXXXX383]": 50801,
+  "[XXXXX384]": 50290,
+  "[XXXXX385]": 50899,
+  "[XXXXX386]": 50206,
+  "[XXXXX387]": 50716,
+  "[XXXXX388]": 51082,
+  "[XXXXX389]": 50177,
+  "[XXXXX38]": 50736,
+  "[XXXXX390]": 50282,
+  "[XXXXX391]": 51183,
+  "[XXXXX392]": 50286,
+  "[XXXXX393]": 50659,
+  "[XXXXX394]": 50378,
+  "[XXXXX395]": 50709,
+  "[XXXXX396]": 50028,
+  "[XXXXX397]": 50235,
+  "[XXXXX398]": 51014,
+  "[XXXXX399]": 50880,
+  "[XXXXX39]": 50305,
+  "[XXXXX3]": 50077,
+  "[XXXXX400]": 50155,
+  "[XXXXX401]": 50710,
+  "[XXXXX402]": 50507,
+  "[XXXXX403]": 50860,
+  "[XXXXX404]": 50661,
+  "[XXXXX405]": 51083,
+  "[XXXXX406]": 50888,
+  "[XXXXX407]": 50069,
+  "[XXXXX408]": 50691,
+  "[XXXXX409]": 51055,
+  "[XXXXX40]": 50337,
+  "[XXXXX410]": 50137,
+  "[XXXXX411]": 50791,
+  "[XXXXX412]": 50136,
+  "[XXXXX413]": 50730,
+  "[XXXXX414]": 50267,
+  "[XXXXX415]": 50012,
+  "[XXXXX416]": 50681,
+  "[XXXXX417]": 50942,
+  "[XXXXX418]": 50720,
+  "[XXXXX419]": 50844,
+  "[XXXXX41]": 50387,
+  "[XXXXX420]": 50111,
+  "[XXXXX421]": 51003,
+  "[XXXXX422]": 50785,
+  "[XXXXX423]": 50149,
+  "[XXXXX424]": 50422,
+  "[XXXXX425]": 51086,
+  "[XXXXX426]": 50862,
+  "[XXXXX427]": 50576,
+  "[XXXXX428]": 51049,
+  "[XXXXX429]": 50630,
+  "[XXXXX42]": 50799,
+  "[XXXXX430]": 50289,
+  "[XXXXX431]": 50184,
+  "[XXXXX432]": 50319,
+  "[XXXXX433]": 51116,
+  "[XXXXX434]": 50519,
+  "[XXXXX435]": 50496,
+  "[XXXXX436]": 50517,
+  "[XXXXX437]": 50865,
+  "[XXXXX438]": 50737,
+  "[XXXXX439]": 50356,
+  "[XXXXX43]": 50359,
+  "[XXXXX440]": 50898,
+  "[XXXXX441]": 50113,
+  "[XXXXX442]": 50527,
+  "[XXXXX443]": 50762,
+  "[XXXXX444]": 50540,
+  "[XXXXX445]": 50925,
+  "[XXXXX446]": 50711,
+  "[XXXXX447]": 50143,
+  "[XXXXX448]": 51170,
+  "[XXXXX449]": 50413,
+  "[XXXXX44]": 50097,
+  "[XXXXX450]": 50375,
+  "[XXXXX451]": 50846,
+  "[XXXXX452]": 50217,
+  "[XXXXX453]": 50699,
+  "[XXXXX454]": 50412,
+  "[XXXXX455]": 50418,
+  "[XXXXX456]": 51143,
+  "[XXXXX457]": 51141,
+  "[XXXXX458]": 51157,
+  "[XXXXX459]": 50825,
+  "[XXXXX45]": 50203,
+  "[XXXXX460]": 50194,
+  "[XXXXX461]": 50148,
+  "[XXXXX462]": 50276,
+  "[XXXXX463]": 50271,
+  "[XXXXX464]": 50836,
+  "[XXXXX465]": 50854,
+  "[XXXXX466]": 50164,
+  "[XXXXX467]": 50484,
+  "[XXXXX468]": 51097,
+  "[XXXXX469]": 50182,
+  "[XXXXX46]": 50505,
+  "[XXXXX470]": 50670,
+  "[XXXXX471]": 50595,
+  "[XXXXX472]": 50237,
+  "[XXXXX473]": 50057,
+  "[XXXXX474]": 50431,
+  "[XXXXX475]": 50738,
+  "[XXXXX476]": 51145,
+  "[XXXXX477]": 50247,
+  "[XXXXX478]": 50029,
+  "[XXXXX479]": 50917,
+  "[XXXXX47]": 50579,
+  "[XXXXX480]": 50702,
+  "[XXXXX481]": 50831,
+  "[XXXXX482]": 50753,
+  "[XXXXX483]": 50598,
+  "[XXXXX484]": 51136,
+  "[XXXXX485]": 50092,
+  "[XXXXX486]": 50202,
+  "[XXXXX487]": 50106,
+  "[XXXXX488]": 50924,
+  "[XXXXX489]": 51113,
+  "[XXXXX48]": 50842,
+  "[XXXXX490]": 50761,
+  "[XXXXX491]": 50577,
+  "[XXXXX492]": 50692,
+  "[XXXXX493]": 51130,
+  "[XXXXX494]": 50932,
+  "[XXXXX495]": 50837,
+  "[XXXXX496]": 50893,
+  "[XXXXX497]": 50773,
+  "[XXXXX498]": 50360,
+  "[XXXXX499]": 50900,
+  "[XXXXX49]": 51062,
+  "[XXXXX4]": 50396,
+  "[XXXXX500]": 51034,
+  "[XXXXX501]": 50472,
+  "[XXXXX502]": 50660,
+  "[XXXXX503]": 50815,
+  "[XXXXX504]": 50939,
+  "[XXXXX505]": 50419,
+  "[XXXXX506]": 50324,
+  "[XXXXX507]": 50428,
+  "[XXXXX508]": 50274,
+  "[XXXXX509]": 50311,
+  "[XXXXX50]": 50459,
+  "[XXXXX510]": 50674,
+  "[XXXXX511]": 50580,
+  "[XXXXX512]": 50956,
+  "[XXXXX513]": 50165,
+  "[XXXXX514]": 50320,
+  "[XXXXX515]": 50648,
+  "[XXXXX516]": 50386,
+  "[XXXXX517]": 50058,
+  "[XXXXX518]": 51045,
+  "[XXXXX519]": 50103,
+  "[XXXXX51]": 50979,
+  "[XXXXX520]": 50530,
+  "[XXXXX521]": 50907,
+  "[XXXXX522]": 50260,
+  "[XXXXX523]": 50632,
+  "[XXXXX524]": 50926,
+  "[XXXXX525]": 50687,
+  "[XXXXX526]": 50160,
+  "[XXXXX527]": 51053,
+  "[XXXXX528]": 50652,
+  "[XXXXX529]": 51041,
+  "[XXXXX52]": 50272,
+  "[XXXXX530]": 51111,
+  "[XXXXX531]": 51009,
+  "[XXXXX532]": 51079,
+  "[XXXXX533]": 50487,
+  "[XXXXX534]": 51059,
+  "[XXXXX535]": 50335,
+  "[XXXXX536]": 50380,
+  "[XXXXX537]": 50301,
+  "[XXXXX538]": 51067,
+  "[XXXXX539]": 51052,
+  "[XXXXX53]": 51048,
+  "[XXXXX540]": 50822,
+  "[XXXXX541]": 51040,
+  "[XXXXX542]": 50490,
+  "[XXXXX543]": 50448,
+  "[XXXXX544]": 50812,
+  "[XXXXX545]": 50099,
+  "[XXXXX546]": 51199,
+  "[XXXXX547]": 50226,
+  "[XXXXX548]": 50538,
+  "[XXXXX549]": 50342,
+  "[XXXXX54]": 50701,
+  "[XXXXX550]": 50544,
+  "[XXXXX551]": 50398,
+  "[XXXXX552]": 51102,
+  "[XXXXX553]": 50919,
+  "[XXXXX554]": 50615,
+  "[XXXXX555]": 50769,
+  "[XXXXX556]": 50940,
+  "[XXXXX557]": 50070,
+  "[XXXXX558]": 50680,
+  "[XXXXX559]": 50611,
+  "[XXXXX55]": 50574,
+  "[XXXXX560]": 50381,
+  "[XXXXX561]": 50350,
+  "[XXXXX562]": 50175,
+  "[XXXXX563]": 50584,
+  "[XXXXX564]": 50703,
+  "[XXXXX565]": 50989,
+  "[XXXXX566]": 50877,
+  "[XXXXX567]": 51039,
+  "[XXXXX568]": 51018,
+  "[XXXXX569]": 50452,
+  "[XXXXX56]": 51099,
+  "[XXXXX570]": 50161,
+  "[XXXXX571]": 50921,
+  "[XXXXX572]": 50676,
+  "[XXXXX573]": 50326,
+  "[XXXXX574]": 50987,
+  "[XXXXX575]": 50361,
+  "[XXXXX576]": 50071,
+  "[XXXXX577]": 50803,
+  "[XXXXX578]": 50400,
+  "[XXXXX579]": 51091,
+  "[XXXXX57]": 50501,
+  "[XXXXX580]": 50887,
+  "[XXXXX581]": 50839,
+  "[XXXXX582]": 51138,
+  "[XXXXX583]": 50816,
+  "[XXXXX584]": 50339,
+  "[XXXXX585]": 50463,
+  "[XXXXX586]": 50399,
+  "[XXXXX587]": 51070,
+  "[XXXXX588]": 50457,
+  "[XXXXX589]": 50828,
+  "[XXXXX58]": 50183,
+  "[XXXXX590]": 50080,
+  "[XXXXX591]": 50550,
+  "[XXXXX592]": 50129,
+  "[XXXXX593]": 50273,
+  "[XXXXX594]": 50388,
+  "[XXXXX595]": 50491,
+  "[XXXXX596]": 50278,
+  "[XXXXX597]": 50011,
+  "[XXXXX598]": 50254,
+  "[XXXXX599]": 50302,
+  "[XXXXX59]": 50353,
+  "[XXXXX5]": 50010,
+  "[XXXXX600]": 50704,
+  "[XXXXX601]": 51118,
+  "[XXXXX602]": 50049,
+  "[XXXXX603]": 51190,
+  "[XXXXX604]": 51142,
+  "[XXXXX605]": 50707,
+  "[XXXXX606]": 50937,
+  "[XXXXX607]": 50875,
+  "[XXXXX608]": 50564,
+  "[XXXXX609]": 50345,
+  "[XXXXX60]": 50713,
+  "[XXXXX610]": 50949,
+  "[XXXXX611]": 50978,
+  "[XXXXX612]": 50330,
+  "[XXXXX613]": 51035,
+  "[XXXXX614]": 50402,
+  "[XXXXX615]": 50176,
+  "[XXXXX616]": 51133,
+  "[XXXXX617]": 50222,
+  "[XXXXX618]": 50118,
+  "[XXXXX619]": 50196,
+  "[XXXXX61]": 50298,
+  "[XXXXX620]": 50668,
+  "[XXXXX621]": 50462,
+  "[XXXXX622]": 50218,
+  "[XXXXX623]": 51101,
+  "[XXXXX624]": 50362,
+  "[XXXXX625]": 50779,
+  "[XXXXX626]": 50513,
+  "[XXXXX627]": 50746,
+  "[XXXXX628]": 50141,
+  "[XXXXX629]": 50479,
+  "[XXXXX62]": 50056,
+  "[XXXXX630]": 51180,
+  "[XXXXX631]": 50872,
+  "[XXXXX632]": 50315,
+  "[XXXXX633]": 50397,
+  "[XXXXX634]": 51165,
+  "[XXXXX635]": 50046,
+  "[XXXXX636]": 50795,
+  "[XXXXX637]": 50959,
+  "[XXXXX638]": 50786,
+  "[XXXXX639]": 50240,
+  "[XXXXX63]": 51061,
+  "[XXXXX640]": 50601,
+  "[XXXXX641]": 50904,
+  "[XXXXX642]": 50376,
+  "[XXXXX643]": 50663,
+  "[XXXXX644]": 50613,
+  "[XXXXX645]": 50467,
+  "[XXXXX646]": 50546,
+  "[XXXXX647]": 50465,
+  "[XXXXX648]": 50395,
+  "[XXXXX649]": 50287,
+  "[XXXXX64]": 51162,
+  "[XXXXX650]": 50474,
+  "[XXXXX651]": 50727,
+  "[XXXXX652]": 50243,
+  "[XXXXX653]": 51100,
+  "[XXXXX654]": 50705,
+  "[XXXXX655]": 51012,
+  "[XXXXX656]": 50447,
+  "[XXXXX657]": 50719,
+  "[XXXXX658]": 50712,
+  "[XXXXX659]": 50476,
+  "[XXXXX65]": 50587,
+  "[XXXXX660]": 51054,
+  "[XXXXX661]": 51166,
+  "[XXXXX662]": 50494,
+  "[XXXXX663]": 50230,
+  "[XXXXX664]": 50621,
+  "[XXXXX665]": 50809,
+  "[XXXXX666]": 50265,
+  "[XXXXX667]": 50645,
+  "[XXXXX668]": 50817,
+  "[XXXXX669]": 50030,
+  "[XXXXX66]": 51029,
+  "[XXXXX670]": 51004,
+  "[XXXXX671]": 50685,
+  "[XXXXX672]": 50625,
+  "[XXXXX673]": 50890,
+  "[XXXXX674]": 50383,
+  "[XXXXX675]": 50929,
+  "[XXXXX676]": 50116,
+  "[XXXXX677]": 51072,
+  "[XXXXX678]": 51126,
+  "[XXXXX679]": 50755,
+  "[XXXXX67]": 50717,
+  "[XXXXX680]": 50303,
+  "[XXXXX681]": 50504,
+  "[XXXXX682]": 51075,
+  "[XXXXX683]": 50261,
+  "[XXXXX684]": 50861,
+  "[XXXXX685]": 50306,
+  "[XXXXX686]": 50016,
+  "[XXXXX687]": 50101,
+  "[XXXXX688]": 51098,
+  "[XXXXX689]": 50827,
+  "[XXXXX68]": 50863,
+  "[XXXXX690]": 50640,
+  "[XXXXX691]": 50031,
+  "[XXXXX692]": 50768,
+  "[XXXXX693]": 50013,
+  "[XXXXX694]": 51032,
+  "[XXXXX695]": 50166,
+  "[XXXXX696]": 50127,
+  "[XXXXX697]": 50414,
+  "[XXXXX698]": 50742,
+  "[XXXXX699]": 51042,
+  "[XXXXX69]": 51112,
+  "[XXXXX6]": 50593,
+  "[XXXXX700]": 50292,
+  "[XXXXX701]": 50174,
+  "[XXXXX702]": 50547,
+  "[XXXXX703]": 50498,
+  "[XXXXX704]": 51078,
+  "[XXXXX705]": 50133,
+  "[XXXXX706]": 50041,
+  "[XXXXX707]": 51181,
+  "[XXXXX708]": 50585,
+  "[XXXXX709]": 50776,
+  "[XXXXX70]": 50053,
+  "[XXXXX710]": 50336,
+  "[XXXXX711]": 50765,
+  "[XXXXX712]": 50224,
+  "[XXXXX713]": 50599,
+  "[XXXXX714]": 50207,
+  "[XXXXX715]": 51043,
+  "[XXXXX716]": 51090,
+  "[XXXXX717]": 50006,
+  "[XXXXX718]": 50901,
+  "[XXXXX719]": 51001,
+  "[XXXXX71]": 50954,
+  "[XXXXX720]": 50646,
+  "[XXXXX721]": 50075,
+  "[XXXXX722]": 51120,
+  "[XXXXX723]": 50215,
+  "[XXXXX724]": 50415,
+  "[XXXXX725]": 50154,
+  "[XXXXX726]": 50935,
+  "[XXXXX727]": 50545,
+  "[XXXXX728]": 51085,
+  "[XXXXX729]": 50256,
+  "[XXXXX72]": 50363,
+  "[XXXXX730]": 50700,
+  "[XXXXX731]": 50262,
+  "[XXXXX732]": 50930,
+  "[XXXXX733]": 50333,
+  "[XXXXX734]": 50884,
+  "[XXXXX735]": 51030,
+  "[XXXXX736]": 50231,
+  "[XXXXX737]": 50405,
+  "[XXXXX738]": 50962,
+  "[XXXXX739]": 50458,
+  "[XXXXX73]": 50019,
+  "[XXXXX740]": 50878,
+  "[XXXXX741]": 50910,
+  "[XXXXX742]": 50170,
+  "[XXXXX743]": 50718,
+  "[XXXXX744]": 50616,
+  "[XXXXX745]": 50358,
+  "[XXXXX746]": 50152,
+  "[XXXXX747]": 50525,
+  "[XXXXX748]": 51167,
+  "[XXXXX749]": 50653,
+  "[XXXXX74]": 50952,
+  "[XXXXX750]": 50500,
+  "[XXXXX751]": 50446,
+  "[XXXXX752]": 50995,
+  "[XXXXX753]": 50945,
+  "[XXXXX754]": 51173,
+  "[XXXXX755]": 50823,
+  "[XXXXX756]": 51060,
+  "[XXXXX757]": 50748,
+  "[XXXXX758]": 50020,
+  "[XXXXX759]": 50197,
+  "[XXXXX75]": 50502,
+  "[XXXXX760]": 50291,
+  "[XXXXX761]": 50821,
+  "[XXXXX762]": 50190,
+  "[XXXXX763]": 50745,
+  "[XXXXX764]": 50778,
+  "[XXXXX765]": 50556,
+  "[XXXXX766]": 51161,
+  "[XXXXX767]": 50466,
+  "[XXXXX768]": 50792,
+  "[XXXXX769]": 50208,
+  "[XXXXX76]": 50169,
+  "[XXXXX770]": 50647,
+  "[XXXXX771]": 50610,
+  "[XXXXX772]": 51140,
+  "[XXXXX773]": 50441,
+  "[XXXXX774]": 50870,
+  "[XXXXX775]": 50368,
+  "[XXXXX776]": 50026,
+  "[XXXXX777]": 50677,
+  "[XXXXX778]": 51168,
+  "[XXXXX779]": 50481,
+  "[XXXXX77]": 50515,
+  "[XXXXX780]": 50225,
+  "[XXXXX781]": 50408,
+  "[XXXXX782]": 50090,
+  "[XXXXX783]": 50951,
+  "[XXXXX784]": 50015,
+  "[XXXXX785]": 50658,
+  "[XXXXX786]": 50617,
+  "[XXXXX787]": 50721,
+  "[XXXXX788]": 51084,
+  "[XXXXX789]": 50830,
+  "[XXXXX78]": 50100,
+  "[XXXXX790]": 50606,
+  "[XXXXX791]": 50124,
+  "[XXXXX792]": 50078,
+  "[XXXXX793]": 51188,
+  "[XXXXX794]": 50750,
+  "[XXXXX795]": 50138,
+  "[XXXXX796]": 50239,
+  "[XXXXX797]": 50385,
+  "[XXXXX798]": 50780,
+  "[XXXXX799]": 50683,
+  "[XXXXX79]": 50436,
+  "[XXXXX7]": 50211,
+  "[XXXXX800]": 51185,
+  "[XXXXX801]": 50250,
+  "[XXXXX802]": 50456,
+  "[XXXXX803]": 50508,
+  "[XXXXX804]": 51194,
+  "[XXXXX805]": 50021,
+  "[XXXXX806]": 50307,
+  "[XXXXX807]": 50199,
+  "[XXXXX808]": 51129,
+  "[XXXXX809]": 50686,
+  "[XXXXX80]": 50370,
+  "[XXXXX810]": 50343,
+  "[XXXXX811]": 50614,
+  "[XXXXX812]": 50636,
+  "[XXXXX813]": 51198,
+  "[XXXXX814]": 50788,
+  "[XXXXX815]": 50120,
+  "[XXXXX816]": 50135,
+  "[XXXXX817]": 50293,
+  "[XXXXX818]": 50153,
+  "[XXXXX819]": 50516,
+  "[XXXXX81]": 50581,
+  "[XXXXX820]": 50586,
+  "[XXXXX821]": 50509,
+  "[XXXXX822]": 50220,
+  "[XXXXX823]": 51068,
+  "[XXXXX824]": 50946,
+  "[XXXXX825]": 50965,
+  "[XXXXX826]": 50032,
+  "[XXXXX827]": 50156,
+  "[XXXXX828]": 50449,
+  "[XXXXX829]": 50531,
+  "[XXXXX82]": 51164,
+  "[XXXXX830]": 50486,
+  "[XXXXX831]": 50357,
+  "[XXXXX832]": 51022,
+  "[XXXXX833]": 50633,
+  "[XXXXX834]": 50754,
+  "[XXXXX835]": 51134,
+  "[XXXXX836]": 50193,
+  "[XXXXX837]": 51088,
+  "[XXXXX838]": 50722,
+  "[XXXXX839]": 50756,
+  "[XXXXX83]": 50977,
+  "[XXXXX840]": 50022,
+  "[XXXXX841]": 51186,
+  "[XXXXX842]": 50575,
+  "[XXXXX843]": 50079,
+  "[XXXXX844]": 50644,
+  "[XXXXX845]": 51033,
+  "[XXXXX846]": 50454,
+  "[XXXXX847]": 50095,
+  "[XXXXX848]": 50902,
+  "[XXXXX849]": 50597,
+  "[XXXXX84]": 50167,
+  "[XXXXX850]": 51051,
+  "[XXXXX851]": 50696,
+  "[XXXXX852]": 50966,
+  "[XXXXX853]": 50034,
+  "[XXXXX854]": 50889,
+  "[XXXXX855]": 50843,
+  "[XXXXX856]": 50963,
+  "[XXXXX857]": 50227,
+  "[XXXXX858]": 51058,
+  "[XXXXX859]": 50850,
+  "[XXXXX85]": 50192,
+  "[XXXXX860]": 50228,
+  "[XXXXX861]": 50570,
+  "[XXXXX862]": 50488,
+  "[XXXXX863]": 50539,
+  "[XXXXX864]": 51182,
+  "[XXXXX865]": 50990,
+  "[XXXXX866]": 50542,
+  "[XXXXX867]": 51069,
+  "[XXXXX868]": 50480,
+  "[XXXXX869]": 50847,
+  "[XXXXX86]": 50874,
+  "[XXXXX870]": 50308,
+  "[XXXXX871]": 50510,
+  "[XXXXX872]": 50423,
+  "[XXXXX873]": 50086,
+  "[XXXXX874]": 50591,
+  "[XXXXX875]": 50728,
+  "[XXXXX876]": 50372,
+  "[XXXXX877]": 50903,
+  "[XXXXX878]": 50868,
+  "[XXXXX879]": 50763,
+  "[XXXXX87]": 50571,
+  "[XXXXX880]": 50096,
+  "[XXXXX881]": 51150,
+  "[XXXXX882]": 50460,
+  "[XXXXX883]": 51087,
+  "[XXXXX884]": 51093,
+  "[XXXXX885]": 50295,
+  "[XXXXX886]": 51037,
+  "[XXXXX887]": 51171,
+  "[XXXXX888]": 50794,
+  "[XXXXX889]": 50628,
+  "[XXXXX88]": 50520,
+  "[XXXXX890]": 51172,
+  "[XXXXX891]": 51046,
+  "[XXXXX892]": 50918,
+  "[XXXXX893]": 50998,
+  "[XXXXX894]": 50371,
+  "[XXXXX895]": 51155,
+  "[XXXXX896]": 50866,
+  "[XXXXX897]": 50229,
+  "[XXXXX898]": 51057,
+  "[XXXXX899]": 50867,
+  "[XXXXX89]": 50537,
+  "[XXXXX8]": 50784,
+  "[XXXXX900]": 50739,
+  "[XXXXX901]": 51080,
+  "[XXXXX902]": 50038,
+  "[XXXXX903]": 50321,
+  "[XXXXX904]": 50774,
+  "[XXXXX905]": 50974,
+  "[XXXXX906]": 50920,
+  "[XXXXX907]": 50469,
+  "[XXXXX908]": 51122,
+  "[XXXXX909]": 51092,
+  "[XXXXX90]": 50514,
+  "[XXXXX910]": 50798,
+  "[XXXXX911]": 50245,
+  "[XXXXX912]": 50367,
+  "[XXXXX913]": 50618,
+  "[XXXXX914]": 50072,
+  "[XXXXX915]": 50450,
+  "[XXXXX916]": 51189,
+  "[XXXXX917]": 50485,
+  "[XXXXX918]": 50283,
+  "[XXXXX919]": 50845,
+  "[XXXXX91]": 50968,
+  "[XXXXX920]": 50429,
+  "[XXXXX921]": 50364,
+  "[XXXXX922]": 50782,
+  "[XXXXX923]": 50534,
+  "[XXXXX924]": 50059,
+  "[XXXXX925]": 50102,
+  "[XXXXX926]": 50185,
+  "[XXXXX927]": 50634,
+  "[XXXXX928]": 50567,
+  "[XXXXX929]": 50895,
+  "[XXXXX92]": 50210,
+  "[XXXXX930]": 50561,
+  "[XXXXX931]": 51021,
+  "[XXXXX932]": 50107,
+  "[XXXXX933]": 50407,
+  "[XXXXX934]": 50654,
+  "[XXXXX935]": 50268,
+  "[XXXXX936]": 51153,
+  "[XXXXX937]": 50552,
+  "[XXXXX938]": 50526,
+  "[XXXXX939]": 50322,
+  "[XXXXX93]": 50912,
+  "[XXXXX940]": 50296,
+  "[XXXXX941]": 50572,
+  "[XXXXX942]": 50393,
+  "[XXXXX943]": 50312,
+  "[XXXXX944]": 50592,
+  "[XXXXX945]": 50982,
+  "[XXXXX946]": 50089,
+  "[XXXXX947]": 50331,
+  "[XXXXX948]": 50279,
+  "[XXXXX949]": 51005,
+  "[XXXXX94]": 50198,
+  "[XXXXX950]": 50114,
+  "[XXXXX951]": 50074,
+  "[XXXXX952]": 50248,
+  "[XXXXX953]": 50857,
+  "[XXXXX954]": 50841,
+  "[XXXXX955]": 51065,
+  "[XXXXX956]": 50234,
+  "[XXXXX957]": 50834,
+  "[XXXXX958]": 50535,
+  "[XXXXX959]": 51109,
+  "[XXXXX95]": 50651,
+  "[XXXXX960]": 50797,
+  "[XXXXX961]": 50914,
+  "[XXXXX962]": 50112,
+  "[XXXXX963]": 50073,
+  "[XXXXX964]": 50559,
+  "[XXXXX965]": 50933,
+  "[XXXXX966]": 50619,
+  "[XXXXX967]": 51187,
+  "[XXXXX968]": 50327,
+  "[XXXXX969]": 50698,
+  "[XXXXX96]": 50420,
+  "[XXXXX970]": 50060,
+  "[XXXXX971]": 50432,
+  "[XXXXX972]": 50620,
+  "[XXXXX973]": 50693,
+  "[XXXXX974]": 50938,
+  "[XXXXX975]": 50983,
+  "[XXXXX976]": 50334,
+  "[XXXXX977]": 50438,
+  "[XXXXX978]": 51154,
+  "[XXXXX979]": 50964,
+  "[XXXXX97]": 50672,
+  "[XXXXX980]": 50511,
+  "[XXXXX981]": 50244,
+  "[XXXXX982]": 50266,
+  "[XXXXX983]": 50134,
+  "[XXXXX984]": 50338,
+  "[XXXXX985]": 51121,
+  "[XXXXX986]": 50323,
+  "[XXXXX987]": 50909,
+  "[XXXXX988]": 51000,
+  "[XXXXX989]": 50036,
+  "[XXXXX98]": 50787,
+  "[XXXXX990]": 50512,
+  "[XXXXX991]": 50191,
+  "[XXXXX992]": 50187,
+  "[XXXXX993]": 51156,
+  "[XXXXX994]": 51135,
+  "[XXXXX995]": 50355,
+  "[XXXXX996]": 51027,
+  "[XXXXX997]": 50297,
+  "[XXXXX998]": 50928,
+  "[XXXXX999]": 50697,
+  "[XXXXX99]": 50980,
+  "[XXXXX9]": 50961
+}
diff --git a/checkpoint-10500/config.json b/checkpoint-10500/config.json
new file mode 100644
index 0000000..000c292
--- /dev/null
+++ b/checkpoint-10500/config.json
@@ -0,0 +1,34 @@
+{
+  "activation_function": "gelu",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50000,
+  "dtype": "bfloat16",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50001,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 512,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": 3072,
+  "n_layer": 12,
+  "n_positions": 512,
+  "pad_token_id": 50002,
+  "prefix": "[CLS]",
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "vocab_size": 51200
+}
diff --git a/checkpoint-10500/generation_config.json b/checkpoint-10500/generation_config.json
new file mode 100644
index 0000000..4c122f0
--- /dev/null
+++ b/checkpoint-10500/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50000,
+  "eos_token_id": [
+    50001
+  ],
+  "pad_token_id": 50002,
+  "transformers_version": "4.56.2"
+}
diff --git a/checkpoint-10500/model.safetensors b/checkpoint-10500/model.safetensors
new file mode 100644
index 0000000..02136c3
--- /dev/null
+++ b/checkpoint-10500/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2b76c30fcdd6ec7bcd18eb2ad34562db3b577e0ae1939abd6045fcdfd11a6f41
+size 249556672
diff --git a/checkpoint-10500/rng_state.pth b/checkpoint-10500/rng_state.pth
new file mode 100644
index 0000000..9aabca1
--- /dev/null
+++ b/checkpoint-10500/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:16533f970066a08ce1db23e81fba2bdfe13485eb9aebba66b50848de387c762f
+size 14645
diff --git a/checkpoint-10500/special_tokens_map.json b/checkpoint-10500/special_tokens_map.json
new file mode 100644
index 0000000..c78a835
--- /dev/null
+++ b/checkpoint-10500/special_tokens_map.json
@@ -0,0 +1,1249 @@
+{
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/checkpoint-10500/spiece.model b/checkpoint-10500/spiece.model
new file mode 100644
index 0000000..85d6e93
--- /dev/null
+++ b/checkpoint-10500/spiece.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:762a1e078899c6ba7ef62ef873a57b860c51cc0518791854659b58b4c89742fe
+size 1170764
diff --git a/checkpoint-10500/tokenizer_config.json b/checkpoint-10500/tokenizer_config.json
new file mode 100644
index 0000000..b27d01f
--- /dev/null
+++ b/checkpoint-10500/tokenizer_config.json
@@ -0,0 +1,10825 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50000": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50001": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50002": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50003": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50004": {
+      "content": "[XXXXX160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50005": {
+      "content": "[XXXXX240]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50006": {
+      "content": "[XXXXX717]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50007": {
+      "content": "[XXXXX23]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50008": {
+      "content": "[XXXXX161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50009": {
+      "content": "[XXXXX1156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50010": {
+      "content": "[XXXXX5]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50011": {
+      "content": "[XXXXX597]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50012": {
+      "content": "[XXXXX415]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50013": {
+      "content": "[XXXXX693]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50014": {
+      "content": "[XXXXX1083]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50015": {
+      "content": "[XXXXX784]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50016": {
+      "content": "[XXXXX686]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50017": {
+      "content": "[XXXXX379]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50018": {
+      "content": "[XXXXX335]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50019": {
+      "content": "[XXXXX73]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50020": {
+      "content": "[XXXXX758]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50021": {
+      "content": "[XXXXX805]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50022": {
+      "content": "[XXXXX840]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50023": {
+      "content": "[XXXXX1037]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50024": {
+      "content": "[XXXXX235]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50025": {
+      "content": "[XXXXX1107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50026": {
+      "content": "[XXXXX776]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50027": {
+      "content": "[XXXXX286]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50028": {
+      "content": "[XXXXX396]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50029": {
+      "content": "[XXXXX478]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50030": {
+      "content": "[XXXXX669]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50031": {
+      "content": "[XXXXX691]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50032": {
+      "content": "[XXXXX826]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50033": {
+      "content": "[XXXXX1150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50034": {
+      "content": "[XXXXX853]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50035": {
+      "content": "[XXXXX130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50036": {
+      "content": "[XXXXX989]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50037": {
+      "content": "[XXXXX249]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50038": {
+      "content": "[XXXXX902]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50039": {
+      "content": "[XXXXX1169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50040": {
+      "content": "[XXXXX260]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50041": {
+      "content": "[XXXXX706]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50042": {
+      "content": "[XXXXX146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50043": {
+      "content": "[XXXXX198]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50044": {
+      "content": "[XXXXX303]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50045": {
+      "content": "[XXXXX1192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50046": {
+      "content": "[XXXXX635]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50047": {
+      "content": "[XXXXX271]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50048": {
+      "content": "[XXXXX1023]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50049": {
+      "content": "[XXXXX602]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50050": {
+      "content": "[XXXXX291]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50051": {
+      "content": "[XXXXX190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50052": {
+      "content": "[XXXXX1055]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50053": {
+      "content": "[XXXXX70]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50054": {
+      "content": "[XXXXX178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50055": {
+      "content": "[XXXXX318]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50056": {
+      "content": "[XXXXX62]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50057": {
+      "content": "[XXXXX473]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50058": {
+      "content": "[XXXXX517]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50059": {
+      "content": "[XXXXX924]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50060": {
+      "content": "[XXXXX970]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50061": {
+      "content": "[XXXXX1033]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50062": {
+      "content": "[XXXXX110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50063": {
+      "content": "[XXXXX1151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50064": {
+      "content": "[XXXXX1189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50065": {
+      "content": "[XXXXX1095]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50066": {
+      "content": "[XXXXX148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50067": {
+      "content": "[XXXXX337]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50068": {
+      "content": "[XXXXX245]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50069": {
+      "content": "[XXXXX407]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50070": {
+      "content": "[XXXXX557]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50071": {
+      "content": "[XXXXX576]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50072": {
+      "content": "[XXXXX914]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50073": {
+      "content": "[XXXXX963]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50074": {
+      "content": "[XXXXX951]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50075": {
+      "content": "[XXXXX721]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50076": {
+      "content": "[XXXXX1174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50077": {
+      "content": "[XXXXX3]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50078": {
+      "content": "[XXXXX792]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50079": {
+      "content": "[XXXXX843]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50080": {
+      "content": "[XXXXX590]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50081": {
+      "content": "[XXXXX118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50082": {
+      "content": "[XXXXX280]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50083": {
+      "content": "[XXXXX1119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50084": {
+      "content": "[XXXXX1025]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50085": {
+      "content": "[XXXXX140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50086": {
+      "content": "[XXXXX873]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50087": {
+      "content": "[XXXXX103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50088": {
+      "content": "[XXXXX307]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50089": {
+      "content": "[XXXXX946]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50090": {
+      "content": "[XXXXX782]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50091": {
+      "content": "[XXXXX100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50092": {
+      "content": "[XXXXX485]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50093": {
+      "content": "[XXXXX151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50094": {
+      "content": "[XXXXX213]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50095": {
+      "content": "[XXXXX847]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50096": {
+      "content": "[XXXXX880]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50097": {
+      "content": "[XXXXX44]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50098": {
+      "content": "[XXXXX1031]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50099": {
+      "content": "[XXXXX545]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50100": {
+      "content": "[XXXXX78]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50101": {
+      "content": "[XXXXX687]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50102": {
+      "content": "[XXXXX925]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50103": {
+      "content": "[XXXXX519]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50104": {
+      "content": "[XXXXX1191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50105": {
+      "content": "[XXXXX13]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50106": {
+      "content": "[XXXXX487]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50107": {
+      "content": "[XXXXX932]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50108": {
+      "content": "[XXXXX119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50109": {
+      "content": "[XXXXX170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50110": {
+      "content": "[XXXXX254]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50111": {
+      "content": "[XXXXX420]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50112": {
+      "content": "[XXXXX962]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50113": {
+      "content": "[XXXXX441]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50114": {
+      "content": "[XXXXX950]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50115": {
+      "content": "[XXXXX18]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50116": {
+      "content": "[XXXXX676]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50117": {
+      "content": "[XXXXX1133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50118": {
+      "content": "[XXXXX618]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50119": {
+      "content": "[XXXXX374]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50120": {
+      "content": "[XXXXX815]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50121": {
+      "content": "[XXXXX1058]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50122": {
+      "content": "[XXXXX1108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50123": {
+      "content": "[XXXXX1144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50124": {
+      "content": "[XXXXX791]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50125": {
+      "content": "[XXXXX259]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50126": {
+      "content": "[XXXXX1074]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50127": {
+      "content": "[XXXXX696]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50128": {
+      "content": "[XXXXX1168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50129": {
+      "content": "[XXXXX592]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50130": {
+      "content": "[XXXXX127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50131": {
+      "content": "[XXXXX136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50132": {
+      "content": "[XXXXX237]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50133": {
+      "content": "[XXXXX705]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50134": {
+      "content": "[XXXXX983]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50135": {
+      "content": "[XXXXX816]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50136": {
+      "content": "[XXXXX412]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50137": {
+      "content": "[XXXXX410]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50138": {
+      "content": "[XXXXX795]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50139": {
+      "content": "[XXXXX101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50140": {
+      "content": "[XXXXX171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50141": {
+      "content": "[XXXXX628]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50142": {
+      "content": "[XXXXX1038]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50143": {
+      "content": "[XXXXX447]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50144": {
+      "content": "[XXXXX1043]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50145": {
+      "content": "[XXXXX147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50146": {
+      "content": "[XXXXX1112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50147": {
+      "content": "[XXXXX186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50148": {
+      "content": "[XXXXX461]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50149": {
+      "content": "[XXXXX423]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50150": {
+      "content": "[XXXXX26]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50151": {
+      "content": "[XXXXX227]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50152": {
+      "content": "[XXXXX746]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50153": {
+      "content": "[XXXXX818]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50154": {
+      "content": "[XXXXX725]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50155": {
+      "content": "[XXXXX400]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50156": {
+      "content": "[XXXXX827]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50157": {
+      "content": "[XXXXX1020]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50158": {
+      "content": "[XXXXX1060]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50159": {
+      "content": "[XXXXX195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50160": {
+      "content": "[XXXXX526]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50161": {
+      "content": "[XXXXX570]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50162": {
+      "content": "[XXXXX174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50163": {
+      "content": "[XXXXX333]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50164": {
+      "content": "[XXXXX466]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50165": {
+      "content": "[XXXXX513]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50166": {
+      "content": "[XXXXX695]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50167": {
+      "content": "[XXXXX84]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50168": {
+      "content": "[XXXXX1080]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50169": {
+      "content": "[XXXXX76]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50170": {
+      "content": "[XXXXX742]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50171": {
+      "content": "[XXXXX1008]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50172": {
+      "content": "[XXXXX1123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50173": {
+      "content": "[XXXXX1145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50174": {
+      "content": "[XXXXX701]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50175": {
+      "content": "[XXXXX562]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50176": {
+      "content": "[XXXXX615]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50177": {
+      "content": "[XXXXX389]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50178": {
+      "content": "[XXXXX267]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50179": {
+      "content": "[XXXXX323]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50180": {
+      "content": "[XXXXX346]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50181": {
+      "content": "[XXXXX287]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50182": {
+      "content": "[XXXXX469]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50183": {
+      "content": "[XXXXX58]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50184": {
+      "content": "[XXXXX431]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50185": {
+      "content": "[XXXXX926]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50186": {
+      "content": "[XXXXX1182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50187": {
+      "content": "[XXXXX992]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50188": {
+      "content": "[XXXXX185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50189": {
+      "content": "[XXXXX352]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50190": {
+      "content": "[XXXXX762]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50191": {
+      "content": "[XXXXX991]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50192": {
+      "content": "[XXXXX85]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50193": {
+      "content": "[XXXXX836]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50194": {
+      "content": "[XXXXX460]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50195": {
+      "content": "[XXXXX272]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50196": {
+      "content": "[XXXXX619]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50197": {
+      "content": "[XXXXX759]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50198": {
+      "content": "[XXXXX94]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50199": {
+      "content": "[XXXXX807]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50200": {
+      "content": "[XXXXX299]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50201": {
+      "content": "[XXXXX187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50202": {
+      "content": "[XXXXX486]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50203": {
+      "content": "[XXXXX45]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50204": {
+      "content": "[XXXXX1036]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50205": {
+      "content": "[XXXXX354]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50206": {
+      "content": "[XXXXX386]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50207": {
+      "content": "[XXXXX714]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50208": {
+      "content": "[XXXXX769]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50209": {
+      "content": "[XXXXX304]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50210": {
+      "content": "[XXXXX92]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50211": {
+      "content": "[XXXXX7]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50212": {
+      "content": "[XXXXX31]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50213": {
+      "content": "[XXXXX102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50214": {
+      "content": "[XXXXX163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50215": {
+      "content": "[XXXXX723]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50216": {
+      "content": "[XXXXX1042]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50217": {
+      "content": "[XXXXX452]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50218": {
+      "content": "[XXXXX622]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50219": {
+      "content": "[XXXXX1056]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50220": {
+      "content": "[XXXXX822]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50221": {
+      "content": "[XXXXX125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50222": {
+      "content": "[XXXXX617]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50223": {
+      "content": "[XXXXX34]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50224": {
+      "content": "[XXXXX712]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50225": {
+      "content": "[XXXXX780]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50226": {
+      "content": "[XXXXX547]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50227": {
+      "content": "[XXXXX857]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50228": {
+      "content": "[XXXXX860]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50229": {
+      "content": "[XXXXX897]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50230": {
+      "content": "[XXXXX663]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50231": {
+      "content": "[XXXXX736]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50232": {
+      "content": "[XXXXX202]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50233": {
+      "content": "[XXXXX1029]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50234": {
+      "content": "[XXXXX956]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50235": {
+      "content": "[XXXXX397]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50236": {
+      "content": "[XXXXX239]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50237": {
+      "content": "[XXXXX472]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50238": {
+      "content": "[XXXXX230]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50239": {
+      "content": "[XXXXX796]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50240": {
+      "content": "[XXXXX639]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50241": {
+      "content": "[XXXXX203]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50242": {
+      "content": "[XXXXX231]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50243": {
+      "content": "[XXXXX652]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50244": {
+      "content": "[XXXXX981]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50245": {
+      "content": "[XXXXX911]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50246": {
+      "content": "[XXXXX380]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50247": {
+      "content": "[XXXXX477]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50248": {
+      "content": "[XXXXX952]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50249": {
+      "content": "[XXXXX28]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50250": {
+      "content": "[XXXXX801]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50251": {
+      "content": "[XXXXX1134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50252": {
+      "content": "[XXXXX1176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50253": {
+      "content": "[XXXXX180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50254": {
+      "content": "[XXXXX598]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50255": {
+      "content": "[XXXXX365]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50256": {
+      "content": "[XXXXX729]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50257": {
+      "content": "[XXXXX214]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50258": {
+      "content": "[XXXXX1117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50259": {
+      "content": "[XXXXX278]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50260": {
+      "content": "[XXXXX522]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50261": {
+      "content": "[XXXXX683]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50262": {
+      "content": "[XXXXX731]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50263": {
+      "content": "[XXXXX312]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "[XXXXX1178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50265": {
+      "content": "[XXXXX666]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50266": {
+      "content": "[XXXXX982]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50267": {
+      "content": "[XXXXX414]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50268": {
+      "content": "[XXXXX935]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50269": {
+      "content": "[XXXXX1089]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50270": {
+      "content": "[XXXXX236]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50271": {
+      "content": "[XXXXX463]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50272": {
+      "content": "[XXXXX52]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50273": {
+      "content": "[XXXXX593]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50274": {
+      "content": "[XXXXX508]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50275": {
+      "content": "[XXXXX1125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50276": {
+      "content": "[XXXXX462]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50277": {
+      "content": "[XXXXX32]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50278": {
+      "content": "[XXXXX596]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50279": {
+      "content": "[XXXXX948]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50280": {
+      "content": "[XXXXX150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50281": {
+      "content": "[XXXXX322]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50282": {
+      "content": "[XXXXX390]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50283": {
+      "content": "[XXXXX918]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50284": {
+      "content": "[XXXXX157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50285": {
+      "content": "[XXXXX310]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50286": {
+      "content": "[XXXXX392]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50287": {
+      "content": "[XXXXX649]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50288": {
+      "content": "[XXXXX158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50289": {
+      "content": "[XXXXX430]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50290": {
+      "content": "[XXXXX384]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50291": {
+      "content": "[XXXXX760]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50292": {
+      "content": "[XXXXX700]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50293": {
+      "content": "[XXXXX817]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50294": {
+      "content": "[XXXXX115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50295": {
+      "content": "[XXXXX885]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50296": {
+      "content": "[XXXXX940]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50297": {
+      "content": "[XXXXX997]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50298": {
+      "content": "[XXXXX61]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50299": {
+      "content": "[XXXXX209]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50300": {
+      "content": "[XXXXX316]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50301": {
+      "content": "[XXXXX537]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50302": {
+      "content": "[XXXXX599]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50303": {
+      "content": "[XXXXX680]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50304": {
+      "content": "[XXXXX135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50305": {
+      "content": "[XXXXX39]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50306": {
+      "content": "[XXXXX685]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50307": {
+      "content": "[XXXXX806]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50308": {
+      "content": "[XXXXX870]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50309": {
+      "content": "[XXXXX1096]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50310": {
+      "content": "[XXXXX366]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50311": {
+      "content": "[XXXXX509]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50312": {
+      "content": "[XXXXX943]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50313": {
+      "content": "[XXXXX292]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50314": {
+      "content": "[XXXXX367]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50315": {
+      "content": "[XXXXX632]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50316": {
+      "content": "[XXXXX1136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50317": {
+      "content": "[XXXXX156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50318": {
+      "content": "[XXXXX1100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50319": {
+      "content": "[XXXXX432]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50320": {
+      "content": "[XXXXX514]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50321": {
+      "content": "[XXXXX903]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50322": {
+      "content": "[XXXXX939]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50323": {
+      "content": "[XXXXX986]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50324": {
+      "content": "[XXXXX506]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50325": {
+      "content": "[XXXXX10]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50326": {
+      "content": "[XXXXX573]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50327": {
+      "content": "[XXXXX968]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50328": {
+      "content": "[XXXXX1039]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50329": {
+      "content": "[XXXXX252]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50330": {
+      "content": "[XXXXX612]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50331": {
+      "content": "[XXXXX947]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50332": {
+      "content": "[XXXXX1162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50333": {
+      "content": "[XXXXX733]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50334": {
+      "content": "[XXXXX976]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50335": {
+      "content": "[XXXXX535]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50336": {
+      "content": "[XXXXX710]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50337": {
+      "content": "[XXXXX40]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50338": {
+      "content": "[XXXXX984]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50339": {
+      "content": "[XXXXX584]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50340": {
+      "content": "[XXXXX132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50341": {
+      "content": "[XXXXX1084]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50342": {
+      "content": "[XXXXX549]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50343": {
+      "content": "[XXXXX810]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50344": {
+      "content": "[XXXXX208]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50345": {
+      "content": "[XXXXX609]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50346": {
+      "content": "[XXXXX275]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50347": {
+      "content": "[XXXXX262]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50348": {
+      "content": "[XXXXX331]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50349": {
+      "content": "[XXXXX361]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50350": {
+      "content": "[XXXXX561]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50351": {
+      "content": "[XXXXX143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50352": {
+      "content": "[XXXXX1061]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50353": {
+      "content": "[XXXXX59]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50354": {
+      "content": "[XXXXX21]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50355": {
+      "content": "[XXXXX995]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50356": {
+      "content": "[XXXXX439]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50357": {
+      "content": "[XXXXX831]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50358": {
+      "content": "[XXXXX745]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50359": {
+      "content": "[XXXXX43]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50360": {
+      "content": "[XXXXX498]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50361": {
+      "content": "[XXXXX575]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50362": {
+      "content": "[XXXXX624]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50363": {
+      "content": "[XXXXX72]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50364": {
+      "content": "[XXXXX921]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50365": {
+      "content": "[XXXXX201]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50366": {
+      "content": "[XXXXX1171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50367": {
+      "content": "[XXXXX912]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50368": {
+      "content": "[XXXXX775]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50369": {
+      "content": "[XXXXX1094]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50370": {
+      "content": "[XXXXX80]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50371": {
+      "content": "[XXXXX894]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50372": {
+      "content": "[XXXXX876]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50373": {
+      "content": "[XXXXX1143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50374": {
+      "content": "[XXXXX355]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50375": {
+      "content": "[XXXXX450]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50376": {
+      "content": "[XXXXX642]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50377": {
+      "content": "[XXXXX162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50378": {
+      "content": "[XXXXX394]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50379": {
+      "content": "[XXXXX296]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50380": {
+      "content": "[XXXXX536]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50381": {
+      "content": "[XXXXX560]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50382": {
+      "content": "[XXXXX373]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50383": {
+      "content": "[XXXXX674]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50384": {
+      "content": "[XXXXX1099]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50385": {
+      "content": "[XXXXX797]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50386": {
+      "content": "[XXXXX516]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50387": {
+      "content": "[XXXXX41]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50388": {
+      "content": "[XXXXX594]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50389": {
+      "content": "[XXXXX319]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50390": {
+      "content": "[XXXXX165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50391": {
+      "content": "[XXXXX344]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50392": {
+      "content": "[XXXXX1012]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50393": {
+      "content": "[XXXXX942]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50394": {
+      "content": "[XXXXX1071]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50395": {
+      "content": "[XXXXX648]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50396": {
+      "content": "[XXXXX4]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50397": {
+      "content": "[XXXXX633]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50398": {
+      "content": "[XXXXX551]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50399": {
+      "content": "[XXXXX586]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50400": {
+      "content": "[XXXXX578]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50401": {
+      "content": "[XXXXX348]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50402": {
+      "content": "[XXXXX614]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50403": {
+      "content": "[XXXXX33]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50404": {
+      "content": "[XXXXX1193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50405": {
+      "content": "[XXXXX737]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50406": {
+      "content": "[XXXXX233]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50407": {
+      "content": "[XXXXX933]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50408": {
+      "content": "[XXXXX781]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50409": {
+      "content": "[XXXXX189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50410": {
+      "content": "[XXXXX1006]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50411": {
+      "content": "[XXXXX219]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50412": {
+      "content": "[XXXXX454]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50413": {
+      "content": "[XXXXX449]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50414": {
+      "content": "[XXXXX697]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50415": {
+      "content": "[XXXXX724]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50416": {
+      "content": "[XXXXX224]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50417": {
+      "content": "[XXXXX1157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50418": {
+      "content": "[XXXXX455]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50419": {
+      "content": "[XXXXX505]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50420": {
+      "content": "[XXXXX96]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50421": {
+      "content": "[XXXXX182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50422": {
+      "content": "[XXXXX424]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50423": {
+      "content": "[XXXXX872]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50424": {
+      "content": "[XXXXX1163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50425": {
+      "content": "[XXXXX1081]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50426": {
+      "content": "[XXXXX1173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50427": {
+      "content": "[XXXXX172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50428": {
+      "content": "[XXXXX507]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50429": {
+      "content": "[XXXXX920]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50430": {
+      "content": "[XXXXX1126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50431": {
+      "content": "[XXXXX474]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50432": {
+      "content": "[XXXXX971]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50433": {
+      "content": "[XXXXX1049]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50434": {
+      "content": "[XXXXX1114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50435": {
+      "content": "[XXXXX1040]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50436": {
+      "content": "[XXXXX79]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50437": {
+      "content": "[XXXXX36]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50438": {
+      "content": "[XXXXX977]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50439": {
+      "content": "[XXXXX1129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50440": {
+      "content": "[XXXXX1063]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50441": {
+      "content": "[XXXXX773]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50442": {
+      "content": "[XXXXX16]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50443": {
+      "content": "[XXXXX113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50444": {
+      "content": "[XXXXX320]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50445": {
+      "content": "[XXXXX167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50446": {
+      "content": "[XXXXX751]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50447": {
+      "content": "[XXXXX656]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50448": {
+      "content": "[XXXXX543]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50449": {
+      "content": "[XXXXX828]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50450": {
+      "content": "[XXXXX915]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50451": {
+      "content": "[XXXXX1098]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50452": {
+      "content": "[XXXXX569]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50453": {
+      "content": "[XXXXX1166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50454": {
+      "content": "[XXXXX846]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50455": {
+      "content": "[XXXXX324]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50456": {
+      "content": "[XXXXX802]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50457": {
+      "content": "[XXXXX588]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50458": {
+      "content": "[XXXXX739]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50459": {
+      "content": "[XXXXX50]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50460": {
+      "content": "[XXXXX882]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50461": {
+      "content": "[XXXXX1054]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50462": {
+      "content": "[XXXXX621]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50463": {
+      "content": "[XXXXX585]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50464": {
+      "content": "[XXXXX121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50465": {
+      "content": "[XXXXX647]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50466": {
+      "content": "[XXXXX767]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50467": {
+      "content": "[XXXXX645]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50468": {
+      "content": "[XXXXX27]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50469": {
+      "content": "[XXXXX907]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50470": {
+      "content": "[XXXXX1109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50471": {
+      "content": "[XXXXX1147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50472": {
+      "content": "[XXXXX501]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50473": {
+      "content": "[XXXXX1164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50474": {
+      "content": "[XXXXX650]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50475": {
+      "content": "[XXXXX329]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50476": {
+      "content": "[XXXXX659]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50477": {
+      "content": "[XXXXX1158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50478": {
+      "content": "[XXXXX104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50479": {
+      "content": "[XXXXX629]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50480": {
+      "content": "[XXXXX868]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50481": {
+      "content": "[XXXXX779]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50482": {
+      "content": "[XXXXX17]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50483": {
+      "content": "[XXXXX377]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50484": {
+      "content": "[XXXXX467]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50485": {
+      "content": "[XXXXX917]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50486": {
+      "content": "[XXXXX830]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50487": {
+      "content": "[XXXXX533]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50488": {
+      "content": "[XXXXX862]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50489": {
+      "content": "[XXXXX1041]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50490": {
+      "content": "[XXXXX542]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50491": {
+      "content": "[XXXXX595]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50492": {
+      "content": "[XXXXX353]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50493": {
+      "content": "[XXXXX181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50494": {
+      "content": "[XXXXX662]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50495": {
+      "content": "[XXXXX1195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50496": {
+      "content": "[XXXXX435]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50497": {
+      "content": "[XXXXX1051]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50498": {
+      "content": "[XXXXX703]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50499": {
+      "content": "[XXXXX1140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50500": {
+      "content": "[XXXXX750]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50501": {
+      "content": "[XXXXX57]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50502": {
+      "content": "[XXXXX75]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50503": {
+      "content": "[XXXXX293]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50504": {
+      "content": "[XXXXX681]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50505": {
+      "content": "[XXXXX46]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50506": {
+      "content": "[XXXXX30]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50507": {
+      "content": "[XXXXX402]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50508": {
+      "content": "[XXXXX803]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50509": {
+      "content": "[XXXXX821]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50510": {
+      "content": "[XXXXX871]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50511": {
+      "content": "[XXXXX980]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50512": {
+      "content": "[XXXXX990]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50513": {
+      "content": "[XXXXX626]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50514": {
+      "content": "[XXXXX90]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50515": {
+      "content": "[XXXXX77]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50516": {
+      "content": "[XXXXX819]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50517": {
+      "content": "[XXXXX436]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50518": {
+      "content": "[XXXXX306]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50519": {
+      "content": "[XXXXX434]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50520": {
+      "content": "[XXXXX88]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50521": {
+      "content": "[XXXXX184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50522": {
+      "content": "[XXXXX290]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50523": {
+      "content": "[XXXXX216]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50524": {
+      "content": "[XXXXX176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50525": {
+      "content": "[XXXXX747]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50526": {
+      "content": "[XXXXX938]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50527": {
+      "content": "[XXXXX442]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50528": {
+      "content": "[XXXXX301]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50529": {
+      "content": "[XXXXX1015]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50530": {
+      "content": "[XXXXX520]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50531": {
+      "content": "[XXXXX829]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50532": {
+      "content": "[XXXXX106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50533": {
+      "content": "[XXXXX1048]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50534": {
+      "content": "[XXXXX923]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50535": {
+      "content": "[XXXXX958]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50536": {
+      "content": "[XXXXX1130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50537": {
+      "content": "[XXXXX89]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50538": {
+      "content": "[XXXXX548]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50539": {
+      "content": "[XXXXX863]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50540": {
+      "content": "[XXXXX444]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50541": {
+      "content": "[XXXXX1149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50542": {
+      "content": "[XXXXX866]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50543": {
+      "content": "[XXXXX109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50544": {
+      "content": "[XXXXX550]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50545": {
+      "content": "[XXXXX727]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50546": {
+      "content": "[XXXXX646]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50547": {
+      "content": "[XXXXX702]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50548": {
+      "content": "[XXXXX204]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50549": {
+      "content": "[XXXXX1000]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50550": {
+      "content": "[XXXXX591]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50551": {
+      "content": "[XXXXX1128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50552": {
+      "content": "[XXXXX937]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50553": {
+      "content": "[XXXXX141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50554": {
+      "content": "[XXXXX273]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50555": {
+      "content": "[XXXXX1183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50556": {
+      "content": "[XXXXX765]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50557": {
+      "content": "[XXXXX371]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50558": {
+      "content": "[XXXXX256]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50559": {
+      "content": "[XXXXX964]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50560": {
+      "content": "[XXXXX1148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50561": {
+      "content": "[XXXXX930]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50562": {
+      "content": "[XXXXX212]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50563": {
+      "content": "[XXXXX133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50564": {
+      "content": "[XXXXX608]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50565": {
+      "content": "[XXXXX281]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50566": {
+      "content": "[XXXXX1045]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50567": {
+      "content": "[XXXXX928]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50568": {
+      "content": "[XXXXX1154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50569": {
+      "content": "[XXXXX334]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50570": {
+      "content": "[XXXXX861]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50571": {
+      "content": "[XXXXX87]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50572": {
+      "content": "[XXXXX941]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50573": {
+      "content": "[XXXXX359]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50574": {
+      "content": "[XXXXX55]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50575": {
+      "content": "[XXXXX842]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50576": {
+      "content": "[XXXXX427]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50577": {
+      "content": "[XXXXX491]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50578": {
+      "content": "[XXXXX137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50579": {
+      "content": "[XXXXX47]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50580": {
+      "content": "[XXXXX511]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50581": {
+      "content": "[XXXXX81]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50582": {
+      "content": "[XXXXX139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50583": {
+      "content": "[XXXXX226]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50584": {
+      "content": "[XXXXX563]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50585": {
+      "content": "[XXXXX708]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50586": {
+      "content": "[XXXXX820]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50587": {
+      "content": "[XXXXX65]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50588": {
+      "content": "[XXXXX381]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50589": {
+      "content": "[XXXXX22]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50590": {
+      "content": "[XXXXX1064]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50591": {
+      "content": "[XXXXX874]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50592": {
+      "content": "[XXXXX944]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50593": {
+      "content": "[XXXXX6]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50594": {
+      "content": "[XXXXX313]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50595": {
+      "content": "[XXXXX471]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50596": {
+      "content": "[XXXXX1118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50597": {
+      "content": "[XXXXX849]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50598": {
+      "content": "[XXXXX483]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50599": {
+      "content": "[XXXXX713]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50600": {
+      "content": "[XXXXX222]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50601": {
+      "content": "[XXXXX640]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50602": {
+      "content": "[XXXXX12]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50603": {
+      "content": "[XXXXX285]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50604": {
+      "content": "[XXXXX327]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50605": {
+      "content": "[XXXXX378]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50606": {
+      "content": "[XXXXX790]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50607": {
+      "content": "[XXXXX1179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50608": {
+      "content": "[XXXXX15]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50609": {
+      "content": "[XXXXX229]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50610": {
+      "content": "[XXXXX771]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50611": {
+      "content": "[XXXXX559]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50612": {
+      "content": "[XXXXX253]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50613": {
+      "content": "[XXXXX644]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50614": {
+      "content": "[XXXXX811]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50615": {
+      "content": "[XXXXX554]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50616": {
+      "content": "[XXXXX744]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50617": {
+      "content": "[XXXXX786]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50618": {
+      "content": "[XXXXX913]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50619": {
+      "content": "[XXXXX966]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50620": {
+      "content": "[XXXXX972]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50621": {
+      "content": "[XXXXX664]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50622": {
+      "content": "[XXXXX1131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50623": {
+      "content": "[XXXXX1132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50624": {
+      "content": "[XXXXX376]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50625": {
+      "content": "[XXXXX672]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50626": {
+      "content": "[XXXXX1013]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50627": {
+      "content": "[XXXXX328]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50628": {
+      "content": "[XXXXX889]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50629": {
+      "content": "[XXXXX1141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50630": {
+      "content": "[XXXXX429]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50631": {
+      "content": "[XXXXX114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50632": {
+      "content": "[XXXXX523]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50633": {
+      "content": "[XXXXX833]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50634": {
+      "content": "[XXXXX927]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50635": {
+      "content": "[XXXXX297]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50636": {
+      "content": "[XXXXX812]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50637": {
+      "content": "[XXXXX1062]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50638": {
+      "content": "[XXXXX152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50639": {
+      "content": "[XXXXX1010]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50640": {
+      "content": "[XXXXX690]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50641": {
+      "content": "[XXXXX363]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50642": {
+      "content": "[XXXXX1103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50643": {
+      "content": "[XXXXX194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50644": {
+      "content": "[XXXXX844]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50645": {
+      "content": "[XXXXX667]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50646": {
+      "content": "[XXXXX720]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50647": {
+      "content": "[XXXXX770]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50648": {
+      "content": "[XXXXX515]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50649": {
+      "content": "[XXXXX196]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50650": {
+      "content": "[XXXXX283]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50651": {
+      "content": "[XXXXX95]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50652": {
+      "content": "[XXXXX528]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50653": {
+      "content": "[XXXXX749]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50654": {
+      "content": "[XXXXX934]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50655": {
+      "content": "[XXXXX1052]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50656": {
+      "content": "[XXXXX1188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50657": {
+      "content": "[XXXXX1001]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50658": {
+      "content": "[XXXXX785]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50659": {
+      "content": "[XXXXX393]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50660": {
+      "content": "[XXXXX502]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50661": {
+      "content": "[XXXXX404]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50662": {
+      "content": "[XXXXX129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50663": {
+      "content": "[XXXXX643]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50664": {
+      "content": "[XXXXX1086]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50665": {
+      "content": "[XXXXX1104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50666": {
+      "content": "[XXXXX326]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50667": {
+      "content": "[XXXXX330]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50668": {
+      "content": "[XXXXX620]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50669": {
+      "content": "[XXXXX193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50670": {
+      "content": "[XXXXX470]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50671": {
+      "content": "[XXXXX279]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50672": {
+      "content": "[XXXXX97]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50673": {
+      "content": "[XXXXX177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50674": {
+      "content": "[XXXXX510]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50675": {
+      "content": "[XXXXX225]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50676": {
+      "content": "[XXXXX572]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50677": {
+      "content": "[XXXXX777]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50678": {
+      "content": "[XXXXX1135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50679": {
+      "content": "[XXXXX1160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50680": {
+      "content": "[XXXXX558]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50681": {
+      "content": "[XXXXX416]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50682": {
+      "content": "[XXXXX246]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50683": {
+      "content": "[XXXXX799]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50684": {
+      "content": "[XXXXX153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50685": {
+      "content": "[XXXXX671]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50686": {
+      "content": "[XXXXX809]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50687": {
+      "content": "[XXXXX525]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50688": {
+      "content": "[XXXXX1004]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50689": {
+      "content": "[XXXXX1005]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50690": {
+      "content": "[XXXXX1194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50691": {
+      "content": "[XXXXX408]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50692": {
+      "content": "[XXXXX492]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50693": {
+      "content": "[XXXXX973]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50694": {
+      "content": "[XXXXX242]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50695": {
+      "content": "[XXXXX357]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50696": {
+      "content": "[XXXXX851]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50697": {
+      "content": "[XXXXX999]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50698": {
+      "content": "[XXXXX969]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50699": {
+      "content": "[XXXXX453]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50700": {
+      "content": "[XXXXX730]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50701": {
+      "content": "[XXXXX54]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50702": {
+      "content": "[XXXXX480]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50703": {
+      "content": "[XXXXX564]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50704": {
+      "content": "[XXXXX600]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50705": {
+      "content": "[XXXXX654]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50706": {
+      "content": "[XXXXX37]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50707": {
+      "content": "[XXXXX605]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50708": {
+      "content": "[XXXXX164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50709": {
+      "content": "[XXXXX395]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50710": {
+      "content": "[XXXXX401]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50711": {
+      "content": "[XXXXX446]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50712": {
+      "content": "[XXXXX658]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50713": {
+      "content": "[XXXXX60]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50714": {
+      "content": "[XXXXX107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50715": {
+      "content": "[XXXXX131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50716": {
+      "content": "[XXXXX387]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50717": {
+      "content": "[XXXXX67]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50718": {
+      "content": "[XXXXX743]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50719": {
+      "content": "[XXXXX657]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50720": {
+      "content": "[XXXXX418]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50721": {
+      "content": "[XXXXX787]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50722": {
+      "content": "[XXXXX838]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50723": {
+      "content": "[XXXXX298]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50724": {
+      "content": "[XXXXX1007]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50725": {
+      "content": "[XXXXX1027]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50726": {
+      "content": "[XXXXX1078]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50727": {
+      "content": "[XXXXX651]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50728": {
+      "content": "[XXXXX875]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50729": {
+      "content": "[XXXXX258]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50730": {
+      "content": "[XXXXX413]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50731": {
+      "content": "[XXXXX1092]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50732": {
+      "content": "[XXXXX124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50733": {
+      "content": "[XXXXX308]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50734": {
+      "content": "[XXXXX1085]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50735": {
+      "content": "[XXXXX1170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50736": {
+      "content": "[XXXXX38]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50737": {
+      "content": "[XXXXX438]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50738": {
+      "content": "[XXXXX475]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50739": {
+      "content": "[XXXXX900]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50740": {
+      "content": "[XXXXX263]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50741": {
+      "content": "[XXXXX166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50742": {
+      "content": "[XXXXX698]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50743": {
+      "content": "[XXXXX1127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50744": {
+      "content": "[XXXXX1181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50745": {
+      "content": "[XXXXX763]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50746": {
+      "content": "[XXXXX627]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50747": {
+      "content": "[XXXXX250]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50748": {
+      "content": "[XXXXX757]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50749": {
+      "content": "[XXXXX142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50750": {
+      "content": "[XXXXX794]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50751": {
+      "content": "[XXXXX128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50752": {
+      "content": "[XXXXX35]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50753": {
+      "content": "[XXXXX482]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50754": {
+      "content": "[XXXXX834]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50755": {
+      "content": "[XXXXX679]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50756": {
+      "content": "[XXXXX839]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50757": {
+      "content": "[XXXXX138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50758": {
+      "content": "[XXXXX1066]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50759": {
+      "content": "[XXXXX116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50760": {
+      "content": "[XXXXX317]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50761": {
+      "content": "[XXXXX490]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50762": {
+      "content": "[XXXXX443]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50763": {
+      "content": "[XXXXX879]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50764": {
+      "content": "[XXXXX1101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50765": {
+      "content": "[XXXXX711]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50766": {
+      "content": "[XXXXX123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50767": {
+      "content": "[XXXXX1152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50768": {
+      "content": "[XXXXX692]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50769": {
+      "content": "[XXXXX555]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50770": {
+      "content": "[XXXXX266]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50771": {
+      "content": "[XXXXX0]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50772": {
+      "content": "[XXXXX332]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50773": {
+      "content": "[XXXXX497]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50774": {
+      "content": "[XXXXX904]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50775": {
+      "content": "[XXXXX1019]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50776": {
+      "content": "[XXXXX709]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50777": {
+      "content": "[XXXXX351]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50778": {
+      "content": "[XXXXX764]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50779": {
+      "content": "[XXXXX625]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50780": {
+      "content": "[XXXXX798]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50781": {
+      "content": "[XXXXX205]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50782": {
+      "content": "[XXXXX922]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50783": {
+      "content": "[XXXXX1075]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50784": {
+      "content": "[XXXXX8]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50785": {
+      "content": "[XXXXX422]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50786": {
+      "content": "[XXXXX638]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50787": {
+      "content": "[XXXXX98]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50788": {
+      "content": "[XXXXX814]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50789": {
+      "content": "[XXXXX1057]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50790": {
+      "content": "[XXXXX1070]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50791": {
+      "content": "[XXXXX411]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50792": {
+      "content": "[XXXXX768]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50793": {
+      "content": "[XXXXX1165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50794": {
+      "content": "[XXXXX888]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50795": {
+      "content": "[XXXXX636]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50796": {
+      "content": "[XXXXX1047]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50797": {
+      "content": "[XXXXX960]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50798": {
+      "content": "[XXXXX910]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50799": {
+      "content": "[XXXXX42]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50800": {
+      "content": "[XXXXX238]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50801": {
+      "content": "[XXXXX383]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50802": {
+      "content": "[XXXXX1032]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50803": {
+      "content": "[XXXXX577]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50804": {
+      "content": "[XXXXX268]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50805": {
+      "content": "[XXXXX179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50806": {
+      "content": "[XXXXX1076]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50807": {
+      "content": "[XXXXX1167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50808": {
+      "content": "[XXXXX1172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50809": {
+      "content": "[XXXXX665]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50810": {
+      "content": "[XXXXX126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50811": {
+      "content": "[XXXXX347]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50812": {
+      "content": "[XXXXX544]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50813": {
+      "content": "[XXXXX1026]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50814": {
+      "content": "[XXXXX159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50815": {
+      "content": "[XXXXX503]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50816": {
+      "content": "[XXXXX583]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50817": {
+      "content": "[XXXXX668]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50818": {
+      "content": "[XXXXX1115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50819": {
+      "content": "[XXXXX112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50820": {
+      "content": "[XXXXX154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50821": {
+      "content": "[XXXXX761]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50822": {
+      "content": "[XXXXX540]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50823": {
+      "content": "[XXXXX755]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50824": {
+      "content": "[XXXXX255]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50825": {
+      "content": "[XXXXX459]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50826": {
+      "content": "[XXXXX1090]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50827": {
+      "content": "[XXXXX689]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50828": {
+      "content": "[XXXXX589]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50829": {
+      "content": "[XXXXX122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50830": {
+      "content": "[XXXXX789]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50831": {
+      "content": "[XXXXX481]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50832": {
+      "content": "[XXXXX1044]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50833": {
+      "content": "[XXXXX274]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50834": {
+      "content": "[XXXXX957]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50835": {
+      "content": "[XXXXX1121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50836": {
+      "content": "[XXXXX464]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50837": {
+      "content": "[XXXXX495]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50838": {
+      "content": "[XXXXX1097]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50839": {
+      "content": "[XXXXX581]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50840": {
+      "content": "[XXXXX200]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50841": {
+      "content": "[XXXXX954]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50842": {
+      "content": "[XXXXX48]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50843": {
+      "content": "[XXXXX855]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50844": {
+      "content": "[XXXXX419]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50845": {
+      "content": "[XXXXX919]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50846": {
+      "content": "[XXXXX451]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50847": {
+      "content": "[XXXXX869]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50848": {
+      "content": "[XXXXX1082]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50849": {
+      "content": "[XXXXX1185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50850": {
+      "content": "[XXXXX859]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50851": {
+      "content": "[XXXXX1139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50852": {
+      "content": "[XXXXX1072]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50853": {
+      "content": "[XXXXX220]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50854": {
+      "content": "[XXXXX465]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50855": {
+      "content": "[XXXXX1105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50856": {
+      "content": "[XXXXX1093]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50857": {
+      "content": "[XXXXX953]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50858": {
+      "content": "[XXXXX1187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50859": {
+      "content": "[XXXXX311]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50860": {
+      "content": "[XXXXX403]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50861": {
+      "content": "[XXXXX684]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50862": {
+      "content": "[XXXXX426]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50863": {
+      "content": "[XXXXX68]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50864": {
+      "content": "[XXXXX277]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50865": {
+      "content": "[XXXXX437]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50866": {
+      "content": "[XXXXX896]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50867": {
+      "content": "[XXXXX899]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50868": {
+      "content": "[XXXXX878]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50869": {
+      "content": "[XXXXX1073]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50870": {
+      "content": "[XXXXX774]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50871": {
+      "content": "[XXXXX315]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50872": {
+      "content": "[XXXXX631]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50873": {
+      "content": "[XXXXX223]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50874": {
+      "content": "[XXXXX86]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50875": {
+      "content": "[XXXXX607]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50876": {
+      "content": "[XXXXX149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50877": {
+      "content": "[XXXXX566]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50878": {
+      "content": "[XXXXX740]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50879": {
+      "content": "[XXXXX265]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50880": {
+      "content": "[XXXXX399]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50881": {
+      "content": "[XXXXX1053]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50882": {
+      "content": "[XXXXX1077]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50883": {
+      "content": "[XXXXX336]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50884": {
+      "content": "[XXXXX734]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50885": {
+      "content": "[XXXXX289]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50886": {
+      "content": "[XXXXX221]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50887": {
+      "content": "[XXXXX580]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50888": {
+      "content": "[XXXXX406]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50889": {
+      "content": "[XXXXX854]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50890": {
+      "content": "[XXXXX673]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50891": {
+      "content": "[XXXXX1146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50892": {
+      "content": "[XXXXX29]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50893": {
+      "content": "[XXXXX496]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50894": {
+      "content": "[XXXXX241]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50895": {
+      "content": "[XXXXX929]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50896": {
+      "content": "[XXXXX169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50897": {
+      "content": "[XXXXX1153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50898": {
+      "content": "[XXXXX440]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50899": {
+      "content": "[XXXXX385]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50900": {
+      "content": "[XXXXX499]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50901": {
+      "content": "[XXXXX718]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50902": {
+      "content": "[XXXXX848]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50903": {
+      "content": "[XXXXX877]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50904": {
+      "content": "[XXXXX641]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50905": {
+      "content": "[XXXXX1137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50906": {
+      "content": "[XXXXX269]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50907": {
+      "content": "[XXXXX521]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50908": {
+      "content": "[XXXXX234]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50909": {
+      "content": "[XXXXX987]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50910": {
+      "content": "[XXXXX741]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50911": {
+      "content": "[XXXXX349]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50912": {
+      "content": "[XXXXX93]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50913": {
+      "content": "[XXXXX247]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50914": {
+      "content": "[XXXXX961]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50915": {
+      "content": "[XXXXX1120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50916": {
+      "content": "[XXXXX369]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50917": {
+      "content": "[XXXXX479]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50918": {
+      "content": "[XXXXX892]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50919": {
+      "content": "[XXXXX553]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50920": {
+      "content": "[XXXXX906]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50921": {
+      "content": "[XXXXX571]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50922": {
+      "content": "[XXXXX1046]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50923": {
+      "content": "[XXXXX206]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50924": {
+      "content": "[XXXXX488]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50925": {
+      "content": "[XXXXX445]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50926": {
+      "content": "[XXXXX524]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50927": {
+      "content": "[XXXXX228]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50928": {
+      "content": "[XXXXX998]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50929": {
+      "content": "[XXXXX675]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50930": {
+      "content": "[XXXXX732]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50931": {
+      "content": "[XXXXX1028]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50932": {
+      "content": "[XXXXX494]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50933": {
+      "content": "[XXXXX965]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50934": {
+      "content": "[XXXXX1021]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50935": {
+      "content": "[XXXXX726]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50936": {
+      "content": "[XXXXX168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50937": {
+      "content": "[XXXXX606]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50938": {
+      "content": "[XXXXX974]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50939": {
+      "content": "[XXXXX504]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50940": {
+      "content": "[XXXXX556]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50941": {
+      "content": "[XXXXX1159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50942": {
+      "content": "[XXXXX417]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50943": {
+      "content": "[XXXXX1175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50944": {
+      "content": "[XXXXX1142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50945": {
+      "content": "[XXXXX753]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50946": {
+      "content": "[XXXXX824]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50947": {
+      "content": "[XXXXX251]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50948": {
+      "content": "[XXXXX345]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50949": {
+      "content": "[XXXXX610]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50950": {
+      "content": "[XXXXX276]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50951": {
+      "content": "[XXXXX783]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50952": {
+      "content": "[XXXXX74]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50953": {
+      "content": "[XXXXX1050]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50954": {
+      "content": "[XXXXX71]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50955": {
+      "content": "[XXXXX360]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50956": {
+      "content": "[XXXXX512]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50957": {
+      "content": "[XXXXX341]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50958": {
+      "content": "[XXXXX375]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50959": {
+      "content": "[XXXXX637]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50960": {
+      "content": "[XXXXX1116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50961": {
+      "content": "[XXXXX9]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50962": {
+      "content": "[XXXXX738]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50963": {
+      "content": "[XXXXX856]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50964": {
+      "content": "[XXXXX979]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50965": {
+      "content": "[XXXXX825]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50966": {
+      "content": "[XXXXX852]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50967": {
+      "content": "[XXXXX215]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50968": {
+      "content": "[XXXXX91]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50969": {
+      "content": "[XXXXX257]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50970": {
+      "content": "[XXXXX325]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50971": {
+      "content": "[XXXXX368]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50972": {
+      "content": "[XXXXX1124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50973": {
+      "content": "[XXXXX188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50974": {
+      "content": "[XXXXX905]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50975": {
+      "content": "[XXXXX284]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50976": {
+      "content": "[XXXXX11]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50977": {
+      "content": "[XXXXX83]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50978": {
+      "content": "[XXXXX611]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50979": {
+      "content": "[XXXXX51]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50980": {
+      "content": "[XXXXX99]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50981": {
+      "content": "[XXXXX288]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50982": {
+      "content": "[XXXXX945]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50983": {
+      "content": "[XXXXX975]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50984": {
+      "content": "[XXXXX282]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50985": {
+      "content": "[XXXXX1068]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50986": {
+      "content": "[XXXXX1180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50987": {
+      "content": "[XXXXX574]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50988": {
+      "content": "[XXXXX305]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50989": {
+      "content": "[XXXXX565]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50990": {
+      "content": "[XXXXX865]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50991": {
+      "content": "[XXXXX1014]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50992": {
+      "content": "[XXXXX1138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50993": {
+      "content": "[XXXXX134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50994": {
+      "content": "[XXXXX321]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50995": {
+      "content": "[XXXXX752]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50996": {
+      "content": "[XXXXX108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50997": {
+      "content": "[XXXXX339]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50998": {
+      "content": "[XXXXX893]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50999": {
+      "content": "[XXXXX1177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51000": {
+      "content": "[XXXXX988]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51001": {
+      "content": "[XXXXX719]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51002": {
+      "content": "[XXXXX1059]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51003": {
+      "content": "[XXXXX421]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51004": {
+      "content": "[XXXXX670]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51005": {
+      "content": "[XXXXX949]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51006": {
+      "content": "[XXXXX14]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51007": {
+      "content": "[XXXXX1087]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51008": {
+      "content": "[XXXXX382]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51009": {
+      "content": "[XXXXX531]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51010": {
+      "content": "[XXXXX1079]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51011": {
+      "content": "[XXXXX1067]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51012": {
+      "content": "[XXXXX655]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51013": {
+      "content": "[XXXXX340]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51014": {
+      "content": "[XXXXX398]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51015": {
+      "content": "[XXXXX175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51016": {
+      "content": "[XXXXX232]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51017": {
+      "content": "[XXXXX244]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51018": {
+      "content": "[XXXXX568]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51019": {
+      "content": "[XXXXX1110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51020": {
+      "content": "[XXXXX191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51021": {
+      "content": "[XXXXX931]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51022": {
+      "content": "[XXXXX832]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51023": {
+      "content": "[XXXXX1030]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51024": {
+      "content": "[XXXXX144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51025": {
+      "content": "[XXXXX1102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51026": {
+      "content": "[XXXXX300]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51027": {
+      "content": "[XXXXX996]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51028": {
+      "content": "[XXXXX248]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51029": {
+      "content": "[XXXXX66]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51030": {
+      "content": "[XXXXX735]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51031": {
+      "content": "[XXXXX20]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51032": {
+      "content": "[XXXXX694]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51033": {
+      "content": "[XXXXX845]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51034": {
+      "content": "[XXXXX500]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51035": {
+      "content": "[XXXXX613]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51036": {
+      "content": "[XXXXX117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51037": {
+      "content": "[XXXXX886]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51038": {
+      "content": "[XXXXX261]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51039": {
+      "content": "[XXXXX567]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51040": {
+      "content": "[XXXXX541]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51041": {
+      "content": "[XXXXX529]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51042": {
+      "content": "[XXXXX699]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51043": {
+      "content": "[XXXXX715]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51044": {
+      "content": "[XXXXX1003]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51045": {
+      "content": "[XXXXX518]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51046": {
+      "content": "[XXXXX891]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51047": {
+      "content": "[XXXXX192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51048": {
+      "content": "[XXXXX53]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51049": {
+      "content": "[XXXXX428]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51050": {
+      "content": "[XXXXX183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51051": {
+      "content": "[XXXXX850]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51052": {
+      "content": "[XXXXX539]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51053": {
+      "content": "[XXXXX527]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51054": {
+      "content": "[XXXXX660]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51055": {
+      "content": "[XXXXX409]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51056": {
+      "content": "[XXXXX1122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51057": {
+      "content": "[XXXXX898]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51058": {
+      "content": "[XXXXX858]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51059": {
+      "content": "[XXXXX534]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51060": {
+      "content": "[XXXXX756]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51061": {
+      "content": "[XXXXX63]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51062": {
+      "content": "[XXXXX49]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51063": {
+      "content": "[XXXXX1106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51064": {
+      "content": "[XXXXX111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51065": {
+      "content": "[XXXXX955]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51066": {
+      "content": "[XXXXX309]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51067": {
+      "content": "[XXXXX538]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51068": {
+      "content": "[XXXXX823]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51069": {
+      "content": "[XXXXX867]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51070": {
+      "content": "[XXXXX587]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51071": {
+      "content": "[XXXXX243]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51072": {
+      "content": "[XXXXX677]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51073": {
+      "content": "[XXXXX1017]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51074": {
+      "content": "[XXXXX173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51075": {
+      "content": "[XXXXX682]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51076": {
+      "content": "[XXXXX1184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51077": {
+      "content": "[XXXXX1009]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51078": {
+      "content": "[XXXXX704]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51079": {
+      "content": "[XXXXX532]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51080": {
+      "content": "[XXXXX901]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51081": {
+      "content": "[XXXXX120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51082": {
+      "content": "[XXXXX388]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51083": {
+      "content": "[XXXXX405]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51084": {
+      "content": "[XXXXX788]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51085": {
+      "content": "[XXXXX728]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51086": {
+      "content": "[XXXXX425]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51087": {
+      "content": "[XXXXX883]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51088": {
+      "content": "[XXXXX837]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51089": {
+      "content": "[XXXXX350]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51090": {
+      "content": "[XXXXX716]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51091": {
+      "content": "[XXXXX579]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51092": {
+      "content": "[XXXXX909]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51093": {
+      "content": "[XXXXX884]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51094": {
+      "content": "[XXXXX1011]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51095": {
+      "content": "[XXXXX372]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51096": {
+      "content": "[XXXXX370]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51097": {
+      "content": "[XXXXX468]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51098": {
+      "content": "[XXXXX688]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51099": {
+      "content": "[XXXXX56]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51100": {
+      "content": "[XXXXX653]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51101": {
+      "content": "[XXXXX623]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51102": {
+      "content": "[XXXXX552]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51103": {
+      "content": "[XXXXX314]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51104": {
+      "content": "[XXXXX1018]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51105": {
+      "content": "[XXXXX1091]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51106": {
+      "content": "[XXXXX342]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51107": {
+      "content": "[XXXXX1065]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51108": {
+      "content": "[XXXXX1161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51109": {
+      "content": "[XXXXX959]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51110": {
+      "content": "[XXXXX1035]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51111": {
+      "content": "[XXXXX530]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51112": {
+      "content": "[XXXXX69]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51113": {
+      "content": "[XXXXX489]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51114": {
+      "content": "[XXXXX1]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51115": {
+      "content": "[XXXXX207]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51116": {
+      "content": "[XXXXX433]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51117": {
+      "content": "[XXXXX358]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51118": {
+      "content": "[XXXXX601]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51119": {
+      "content": "[XXXXX2]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51120": {
+      "content": "[XXXXX722]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51121": {
+      "content": "[XXXXX985]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51122": {
+      "content": "[XXXXX908]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51123": {
+      "content": "[XXXXX1024]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51124": {
+      "content": "[XXXXX1111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51125": {
+      "content": "[XXXXX1113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51126": {
+      "content": "[XXXXX678]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51127": {
+      "content": "[XXXXX19]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51128": {
+      "content": "[XXXXX1186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51129": {
+      "content": "[XXXXX808]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51130": {
+      "content": "[XXXXX493]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51131": {
+      "content": "[XXXXX1155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51132": {
+      "content": "[XXXXX217]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51133": {
+      "content": "[XXXXX616]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51134": {
+      "content": "[XXXXX835]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51135": {
+      "content": "[XXXXX994]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51136": {
+      "content": "[XXXXX484]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51137": {
+      "content": "[XXXXX362]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51138": {
+      "content": "[XXXXX582]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51139": {
+      "content": "[XXXXX1034]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51140": {
+      "content": "[XXXXX772]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51141": {
+      "content": "[XXXXX457]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51142": {
+      "content": "[XXXXX604]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51143": {
+      "content": "[XXXXX456]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51144": {
+      "content": "[XXXXX145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51145": {
+      "content": "[XXXXX476]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51146": {
+      "content": "[XXXXX218]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51147": {
+      "content": "[XXXXX199]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51148": {
+      "content": "[XXXXX364]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51149": {
+      "content": "[XXXXX302]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51150": {
+      "content": "[XXXXX881]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51151": {
+      "content": "[XXXXX1088]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51152": {
+      "content": "[XXXXX356]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51153": {
+      "content": "[XXXXX936]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51154": {
+      "content": "[XXXXX978]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51155": {
+      "content": "[XXXXX895]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51156": {
+      "content": "[XXXXX993]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51157": {
+      "content": "[XXXXX458]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51158": {
+      "content": "[XXXXX1002]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51159": {
+      "content": "[XXXXX1022]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51160": {
+      "content": "[XXXXX25]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51161": {
+      "content": "[XXXXX766]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51162": {
+      "content": "[XXXXX64]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51163": {
+      "content": "[XXXXX211]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51164": {
+      "content": "[XXXXX82]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51165": {
+      "content": "[XXXXX634]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51166": {
+      "content": "[XXXXX661]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51167": {
+      "content": "[XXXXX748]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51168": {
+      "content": "[XXXXX778]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51169": {
+      "content": "[XXXXX24]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51170": {
+      "content": "[XXXXX448]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51171": {
+      "content": "[XXXXX887]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51172": {
+      "content": "[XXXXX890]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51173": {
+      "content": "[XXXXX754]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51174": {
+      "content": "[XXXXX343]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51175": {
+      "content": "[XXXXX1069]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51176": {
+      "content": "[XXXXX294]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51177": {
+      "content": "[XXXXX295]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51178": {
+      "content": "[XXXXX197]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51179": {
+      "content": "[XXXXX210]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51180": {
+      "content": "[XXXXX630]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51181": {
+      "content": "[XXXXX707]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51182": {
+      "content": "[XXXXX864]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51183": {
+      "content": "[XXXXX391]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51184": {
+      "content": "[XXXXX338]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51185": {
+      "content": "[XXXXX800]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51186": {
+      "content": "[XXXXX841]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51187": {
+      "content": "[XXXXX967]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51188": {
+      "content": "[XXXXX793]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51189": {
+      "content": "[XXXXX916]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51190": {
+      "content": "[XXXXX603]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51191": {
+      "content": "[XXXXX270]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51192": {
+      "content": "[XXXXX105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51193": {
+      "content": "[XXXXX1016]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51194": {
+      "content": "[XXXXX804]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51195": {
+      "content": "[XXXXX264]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51196": {
+      "content": "[XXXXX155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51197": {
+      "content": "[XXXXX1190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51198": {
+      "content": "[XXXXX813]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51199": {
+      "content": "[XXXXX546]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "keep_accents": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}
diff --git a/checkpoint-10500/trainer_state.json b/checkpoint-10500/trainer_state.json
new file mode 100644
index 0000000..d806738
--- /dev/null
+++ b/checkpoint-10500/trainer_state.json
@@ -0,0 +1,21265 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 8.699254349627175,
+  "eval_steps": 500,
+  "global_step": 10500,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "entropy": 7.218191003799438,
+      "epoch": 0.004142502071251036,
+      "grad_norm": 1.265625,
+      "learning_rate": 2e-06,
+      "loss": 6.8898,
+      "mean_token_accuracy": 0.08805170804262161,
+      "num_tokens": 9149.0,
+      "step": 5
+    },
+    {
+      "entropy": 7.191673707962036,
+      "epoch": 0.008285004142502071,
+      "grad_norm": 1.5078125,
+      "learning_rate": 4.5e-06,
+      "loss": 6.7268,
+      "mean_token_accuracy": 0.09304728880524635,
+      "num_tokens": 16800.0,
+      "step": 10
+    },
+    {
+      "entropy": 7.134524202346801,
+      "epoch": 0.012427506213753107,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7e-06,
+      "loss": 6.8905,
+      "mean_token_accuracy": 0.0921505056321621,
+      "num_tokens": 26617.0,
+      "step": 15
+    },
+    {
+      "entropy": 7.115550088882446,
+      "epoch": 0.016570008285004142,
+      "grad_norm": 1.25,
+      "learning_rate": 9.5e-06,
+      "loss": 6.8021,
+      "mean_token_accuracy": 0.09268744736909866,
+      "num_tokens": 35855.0,
+      "step": 20
+    },
+    {
+      "entropy": 7.12396879196167,
+      "epoch": 0.020712510356255178,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.2e-05,
+      "loss": 7.0094,
+      "mean_token_accuracy": 0.08752714470028877,
+      "num_tokens": 45644.0,
+      "step": 25
+    },
+    {
+      "entropy": 7.054446792602539,
+      "epoch": 0.024855012427506214,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.4500000000000002e-05,
+      "loss": 6.8922,
+      "mean_token_accuracy": 0.09398627206683159,
+      "num_tokens": 54641.0,
+      "step": 30
+    },
+    {
+      "entropy": 7.012255907058716,
+      "epoch": 0.02899751449875725,
+      "grad_norm": 1.0234375,
+      "learning_rate": 1.7000000000000003e-05,
+      "loss": 6.7519,
+      "mean_token_accuracy": 0.08958807587623596,
+      "num_tokens": 63924.0,
+      "step": 35
+    },
+    {
+      "entropy": 7.068031549453735,
+      "epoch": 0.033140016570008285,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.95e-05,
+      "loss": 6.89,
+      "mean_token_accuracy": 0.09437783882021904,
+      "num_tokens": 73452.0,
+      "step": 40
+    },
+    {
+      "entropy": 7.06072301864624,
+      "epoch": 0.037282518641259324,
+      "grad_norm": 1.0234375,
+      "learning_rate": 2.2e-05,
+      "loss": 6.9455,
+      "mean_token_accuracy": 0.0851291574537754,
+      "num_tokens": 82731.0,
+      "step": 45
+    },
+    {
+      "entropy": 7.090083169937134,
+      "epoch": 0.041425020712510356,
+      "grad_norm": 1.1015625,
+      "learning_rate": 2.4500000000000003e-05,
+      "loss": 6.7734,
+      "mean_token_accuracy": 0.09048294499516488,
+      "num_tokens": 92626.0,
+      "step": 50
+    },
+    {
+      "entropy": 7.149203157424926,
+      "epoch": 0.045567522783761395,
+      "grad_norm": 1.21875,
+      "learning_rate": 2.7e-05,
+      "loss": 6.9497,
+      "mean_token_accuracy": 0.08217904865741729,
+      "num_tokens": 101380.0,
+      "step": 55
+    },
+    {
+      "entropy": 7.119951963424683,
+      "epoch": 0.04971002485501243,
+      "grad_norm": 1.046875,
+      "learning_rate": 2.95e-05,
+      "loss": 6.8604,
+      "mean_token_accuracy": 0.09202293381094932,
+      "num_tokens": 109895.0,
+      "step": 60
+    },
+    {
+      "entropy": 7.2014998435974125,
+      "epoch": 0.053852526926263466,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.2e-05,
+      "loss": 6.8449,
+      "mean_token_accuracy": 0.09257669150829315,
+      "num_tokens": 119203.0,
+      "step": 65
+    },
+    {
+      "entropy": 7.1111664295196535,
+      "epoch": 0.0579950289975145,
+      "grad_norm": 1.1484375,
+      "learning_rate": 3.4500000000000005e-05,
+      "loss": 6.7903,
+      "mean_token_accuracy": 0.09657297283411026,
+      "num_tokens": 127572.0,
+      "step": 70
+    },
+    {
+      "entropy": 7.04930944442749,
+      "epoch": 0.06213753106876554,
+      "grad_norm": 1.03125,
+      "learning_rate": 3.7e-05,
+      "loss": 6.8304,
+      "mean_token_accuracy": 0.09063600301742554,
+      "num_tokens": 137161.0,
+      "step": 75
+    },
+    {
+      "entropy": 7.044711875915527,
+      "epoch": 0.06628003314001657,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.95e-05,
+      "loss": 6.9451,
+      "mean_token_accuracy": 0.08874713778495788,
+      "num_tokens": 145991.0,
+      "step": 80
+    },
+    {
+      "entropy": 7.130092525482178,
+      "epoch": 0.07042253521126761,
+      "grad_norm": 1.0546875,
+      "learning_rate": 4.2000000000000004e-05,
+      "loss": 6.8464,
+      "mean_token_accuracy": 0.08955071866512299,
+      "num_tokens": 154927.0,
+      "step": 85
+    },
+    {
+      "entropy": 7.090402746200562,
+      "epoch": 0.07456503728251865,
+      "grad_norm": 1.34375,
+      "learning_rate": 4.45e-05,
+      "loss": 6.7595,
+      "mean_token_accuracy": 0.09832768961787224,
+      "num_tokens": 163234.0,
+      "step": 90
+    },
+    {
+      "entropy": 7.08957576751709,
+      "epoch": 0.07870753935376967,
+      "grad_norm": 1.015625,
+      "learning_rate": 4.7000000000000004e-05,
+      "loss": 6.7163,
+      "mean_token_accuracy": 0.09379880875349045,
+      "num_tokens": 171554.0,
+      "step": 95
+    },
+    {
+      "entropy": 7.044517278671265,
+      "epoch": 0.08285004142502071,
+      "grad_norm": 1.1328125,
+      "learning_rate": 4.9500000000000004e-05,
+      "loss": 6.8173,
+      "mean_token_accuracy": 0.0955286517739296,
+      "num_tokens": 180171.0,
+      "step": 100
+    },
+    {
+      "entropy": 7.050950908660889,
+      "epoch": 0.08699254349627175,
+      "grad_norm": 1.0859375,
+      "learning_rate": 5.2e-05,
+      "loss": 6.761,
+      "mean_token_accuracy": 0.09741089940071106,
+      "num_tokens": 189216.0,
+      "step": 105
+    },
+    {
+      "entropy": 7.173562717437744,
+      "epoch": 0.09113504556752279,
+      "grad_norm": 1.015625,
+      "learning_rate": 5.45e-05,
+      "loss": 6.9519,
+      "mean_token_accuracy": 0.08675800338387489,
+      "num_tokens": 200022.0,
+      "step": 110
+    },
+    {
+      "entropy": 7.183744478225708,
+      "epoch": 0.09527754763877382,
+      "grad_norm": 1.2265625,
+      "learning_rate": 5.7e-05,
+      "loss": 6.8642,
+      "mean_token_accuracy": 0.09210581332445145,
+      "num_tokens": 208686.0,
+      "step": 115
+    },
+    {
+      "entropy": 7.121539115905762,
+      "epoch": 0.09942004971002485,
+      "grad_norm": 1.1875,
+      "learning_rate": 5.9499999999999996e-05,
+      "loss": 6.8829,
+      "mean_token_accuracy": 0.09462191313505172,
+      "num_tokens": 218266.0,
+      "step": 120
+    },
+    {
+      "entropy": 7.006736946105957,
+      "epoch": 0.1035625517812759,
+      "grad_norm": 1.046875,
+      "learning_rate": 6.2e-05,
+      "loss": 6.7523,
+      "mean_token_accuracy": 0.08771666437387467,
+      "num_tokens": 227658.0,
+      "step": 125
+    },
+    {
+      "entropy": 7.040027761459351,
+      "epoch": 0.10770505385252693,
+      "grad_norm": 1.1015625,
+      "learning_rate": 6.450000000000001e-05,
+      "loss": 6.7014,
+      "mean_token_accuracy": 0.1004502885043621,
+      "num_tokens": 236301.0,
+      "step": 130
+    },
+    {
+      "entropy": 7.106470441818237,
+      "epoch": 0.11184755592377796,
+      "grad_norm": 1.1171875,
+      "learning_rate": 6.7e-05,
+      "loss": 6.8424,
+      "mean_token_accuracy": 0.08812138065695763,
+      "num_tokens": 246355.0,
+      "step": 135
+    },
+    {
+      "entropy": 7.174679756164551,
+      "epoch": 0.115990057995029,
+      "grad_norm": 1.15625,
+      "learning_rate": 6.950000000000001e-05,
+      "loss": 6.8174,
+      "mean_token_accuracy": 0.0924198254942894,
+      "num_tokens": 256023.0,
+      "step": 140
+    },
+    {
+      "entropy": 7.10174069404602,
+      "epoch": 0.12013256006628004,
+      "grad_norm": 0.9921875,
+      "learning_rate": 7.2e-05,
+      "loss": 6.9036,
+      "mean_token_accuracy": 0.08638993799686431,
+      "num_tokens": 266893.0,
+      "step": 145
+    },
+    {
+      "entropy": 7.019921684265137,
+      "epoch": 0.12427506213753108,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7.45e-05,
+      "loss": 6.6606,
+      "mean_token_accuracy": 0.08872481286525727,
+      "num_tokens": 276075.0,
+      "step": 150
+    },
+    {
+      "entropy": 7.042754888534546,
+      "epoch": 0.12841756420878211,
+      "grad_norm": 1.25,
+      "learning_rate": 7.7e-05,
+      "loss": 6.7532,
+      "mean_token_accuracy": 0.09296932220458984,
+      "num_tokens": 285529.0,
+      "step": 155
+    },
+    {
+      "entropy": 7.064399909973145,
+      "epoch": 0.13256006628003314,
+      "grad_norm": 1.15625,
+      "learning_rate": 7.950000000000001e-05,
+      "loss": 6.762,
+      "mean_token_accuracy": 0.09406789913773536,
+      "num_tokens": 294403.0,
+      "step": 160
+    },
+    {
+      "entropy": 7.152362823486328,
+      "epoch": 0.13670256835128416,
+      "grad_norm": 1.28125,
+      "learning_rate": 8.2e-05,
+      "loss": 6.8553,
+      "mean_token_accuracy": 0.09358441680669785,
+      "num_tokens": 303507.0,
+      "step": 165
+    },
+    {
+      "entropy": 7.071487474441528,
+      "epoch": 0.14084507042253522,
+      "grad_norm": 1.21875,
+      "learning_rate": 8.450000000000001e-05,
+      "loss": 6.7534,
+      "mean_token_accuracy": 0.09645206108689308,
+      "num_tokens": 312393.0,
+      "step": 170
+    },
+    {
+      "entropy": 6.956210470199585,
+      "epoch": 0.14498757249378624,
+      "grad_norm": 1.0859375,
+      "learning_rate": 8.7e-05,
+      "loss": 6.7226,
+      "mean_token_accuracy": 0.09953253641724587,
+      "num_tokens": 321309.0,
+      "step": 175
+    },
+    {
+      "entropy": 7.2200812816619875,
+      "epoch": 0.1491300745650373,
+      "grad_norm": 1.1328125,
+      "learning_rate": 8.95e-05,
+      "loss": 6.7879,
+      "mean_token_accuracy": 0.09582221284508705,
+      "num_tokens": 330217.0,
+      "step": 180
+    },
+    {
+      "entropy": 6.964824962615967,
+      "epoch": 0.15327257663628832,
+      "grad_norm": 1.2109375,
+      "learning_rate": 9.2e-05,
+      "loss": 6.8296,
+      "mean_token_accuracy": 0.09584516286849976,
+      "num_tokens": 339587.0,
+      "step": 185
+    },
+    {
+      "entropy": 7.104565525054932,
+      "epoch": 0.15741507870753935,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.45e-05,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.09563353508710862,
+      "num_tokens": 349367.0,
+      "step": 190
+    },
+    {
+      "entropy": 6.90956711769104,
+      "epoch": 0.1615575807787904,
+      "grad_norm": 1.1953125,
+      "learning_rate": 9.7e-05,
+      "loss": 6.6535,
+      "mean_token_accuracy": 0.09533214569091797,
+      "num_tokens": 358272.0,
+      "step": 195
+    },
+    {
+      "entropy": 7.184430170059204,
+      "epoch": 0.16570008285004142,
+      "grad_norm": 1.1875,
+      "learning_rate": 9.95e-05,
+      "loss": 6.8847,
+      "mean_token_accuracy": 0.09342379868030548,
+      "num_tokens": 367709.0,
+      "step": 200
+    },
+    {
+      "entropy": 7.108258152008057,
+      "epoch": 0.16984258492129245,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000102,
+      "loss": 6.7363,
+      "mean_token_accuracy": 0.09321728497743606,
+      "num_tokens": 376180.0,
+      "step": 205
+    },
+    {
+      "entropy": 7.143853282928466,
+      "epoch": 0.1739850869925435,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00010449999999999999,
+      "loss": 6.8927,
+      "mean_token_accuracy": 0.08639989122748375,
+      "num_tokens": 385636.0,
+      "step": 210
+    },
+    {
+      "entropy": 7.005528688430786,
+      "epoch": 0.17812758906379453,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000107,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.10387283116579056,
+      "num_tokens": 394486.0,
+      "step": 215
+    },
+    {
+      "entropy": 7.066776275634766,
+      "epoch": 0.18227009113504558,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0001095,
+      "loss": 6.7286,
+      "mean_token_accuracy": 0.09739693626761436,
+      "num_tokens": 403765.0,
+      "step": 220
+    },
+    {
+      "entropy": 6.9391695022583,
+      "epoch": 0.1864125932062966,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000112,
+      "loss": 6.7198,
+      "mean_token_accuracy": 0.09883175939321517,
+      "num_tokens": 412988.0,
+      "step": 225
+    },
+    {
+      "entropy": 7.029045248031617,
+      "epoch": 0.19055509527754763,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0001145,
+      "loss": 6.6219,
+      "mean_token_accuracy": 0.09850638806819915,
+      "num_tokens": 422096.0,
+      "step": 230
+    },
+    {
+      "entropy": 7.055552911758423,
+      "epoch": 0.19469759734879868,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011700000000000001,
+      "loss": 6.7907,
+      "mean_token_accuracy": 0.08912368193268776,
+      "num_tokens": 431333.0,
+      "step": 235
+    },
+    {
+      "entropy": 7.076433277130127,
+      "epoch": 0.1988400994200497,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00011949999999999999,
+      "loss": 6.825,
+      "mean_token_accuracy": 0.0998022735118866,
+      "num_tokens": 440382.0,
+      "step": 240
+    },
+    {
+      "entropy": 7.098494958877564,
+      "epoch": 0.20298260149130073,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000122,
+      "loss": 6.7184,
+      "mean_token_accuracy": 0.1035430908203125,
+      "num_tokens": 448469.0,
+      "step": 245
+    },
+    {
+      "entropy": 7.065437746047974,
+      "epoch": 0.2071251035625518,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001245,
+      "loss": 6.7562,
+      "mean_token_accuracy": 0.0973759837448597,
+      "num_tokens": 457356.0,
+      "step": 250
+    },
+    {
+      "entropy": 7.103154182434082,
+      "epoch": 0.2112676056338028,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000127,
+      "loss": 6.7821,
+      "mean_token_accuracy": 0.09721289053559304,
+      "num_tokens": 465928.0,
+      "step": 255
+    },
+    {
+      "entropy": 6.99681601524353,
+      "epoch": 0.21541010770505387,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0001295,
+      "loss": 6.6931,
+      "mean_token_accuracy": 0.09931288808584213,
+      "num_tokens": 475269.0,
+      "step": 260
+    },
+    {
+      "entropy": 6.960800266265869,
+      "epoch": 0.2195526097763049,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000132,
+      "loss": 6.679,
+      "mean_token_accuracy": 0.09512786641716957,
+      "num_tokens": 485450.0,
+      "step": 265
+    },
+    {
+      "entropy": 7.0514568328857425,
+      "epoch": 0.22369511184755592,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00013450000000000002,
+      "loss": 6.7347,
+      "mean_token_accuracy": 0.10228226557374001,
+      "num_tokens": 494029.0,
+      "step": 270
+    },
+    {
+      "entropy": 6.9516912460327145,
+      "epoch": 0.22783761391880697,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013700000000000002,
+      "loss": 6.676,
+      "mean_token_accuracy": 0.10202871784567832,
+      "num_tokens": 503253.0,
+      "step": 275
+    },
+    {
+      "entropy": 7.018160057067871,
+      "epoch": 0.231980115990058,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0001395,
+      "loss": 6.6685,
+      "mean_token_accuracy": 0.09529435187578202,
+      "num_tokens": 512857.0,
+      "step": 280
+    },
+    {
+      "entropy": 6.9714985370635985,
+      "epoch": 0.23612261806130902,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00014199999999999998,
+      "loss": 6.7719,
+      "mean_token_accuracy": 0.09288227260112762,
+      "num_tokens": 522319.0,
+      "step": 285
+    },
+    {
+      "entropy": 7.113205528259277,
+      "epoch": 0.24026512013256007,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0001445,
+      "loss": 6.7224,
+      "mean_token_accuracy": 0.09471780881285667,
+      "num_tokens": 531469.0,
+      "step": 290
+    },
+    {
+      "entropy": 6.976934480667114,
+      "epoch": 0.2444076222038111,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000147,
+      "loss": 6.756,
+      "mean_token_accuracy": 0.09480062946677208,
+      "num_tokens": 540470.0,
+      "step": 295
+    },
+    {
+      "entropy": 7.011937475204467,
+      "epoch": 0.24855012427506215,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0001495,
+      "loss": 6.7584,
+      "mean_token_accuracy": 0.09700122326612473,
+      "num_tokens": 550317.0,
+      "step": 300
+    },
+    {
+      "entropy": 7.0365160465240475,
+      "epoch": 0.2526926263463132,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000152,
+      "loss": 6.7067,
+      "mean_token_accuracy": 0.09434132501482964,
+      "num_tokens": 559409.0,
+      "step": 305
+    },
+    {
+      "entropy": 6.928857326507568,
+      "epoch": 0.25683512841756423,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00015450000000000001,
+      "loss": 6.768,
+      "mean_token_accuracy": 0.10764710158109665,
+      "num_tokens": 568726.0,
+      "step": 310
+    },
+    {
+      "entropy": 7.103991413116455,
+      "epoch": 0.2609776304888152,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000157,
+      "loss": 6.7179,
+      "mean_token_accuracy": 0.0976541943848133,
+      "num_tokens": 577926.0,
+      "step": 315
+    },
+    {
+      "entropy": 7.047203779220581,
+      "epoch": 0.2651201325600663,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001595,
+      "loss": 6.7448,
+      "mean_token_accuracy": 0.09809661954641342,
+      "num_tokens": 586695.0,
+      "step": 320
+    },
+    {
+      "entropy": 7.039609956741333,
+      "epoch": 0.26926263463131733,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000162,
+      "loss": 6.771,
+      "mean_token_accuracy": 0.0949723981320858,
+      "num_tokens": 596250.0,
+      "step": 325
+    },
+    {
+      "entropy": 7.063632202148438,
+      "epoch": 0.27340513670256833,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00016450000000000001,
+      "loss": 6.8221,
+      "mean_token_accuracy": 0.09051206335425377,
+      "num_tokens": 605761.0,
+      "step": 330
+    },
+    {
+      "entropy": 7.019326877593994,
+      "epoch": 0.2775476387738194,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00016700000000000002,
+      "loss": 6.7365,
+      "mean_token_accuracy": 0.09872144013643265,
+      "num_tokens": 614313.0,
+      "step": 335
+    },
+    {
+      "entropy": 7.037422132492066,
+      "epoch": 0.28169014084507044,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00016950000000000003,
+      "loss": 6.7692,
+      "mean_token_accuracy": 0.09455474764108658,
+      "num_tokens": 624470.0,
+      "step": 340
+    },
+    {
+      "entropy": 7.039082098007202,
+      "epoch": 0.28583264291632143,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00017199999999999998,
+      "loss": 6.6843,
+      "mean_token_accuracy": 0.09269843101501465,
+      "num_tokens": 633458.0,
+      "step": 345
+    },
+    {
+      "entropy": 6.942268037796021,
+      "epoch": 0.2899751449875725,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00017449999999999999,
+      "loss": 6.6939,
+      "mean_token_accuracy": 0.09877684414386749,
+      "num_tokens": 643251.0,
+      "step": 350
+    },
+    {
+      "entropy": 6.99584732055664,
+      "epoch": 0.29411764705882354,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000177,
+      "loss": 6.7635,
+      "mean_token_accuracy": 0.09713540598750114,
+      "num_tokens": 652005.0,
+      "step": 355
+    },
+    {
+      "entropy": 7.006586170196533,
+      "epoch": 0.2982601491300746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0001795,
+      "loss": 6.6575,
+      "mean_token_accuracy": 0.10120807588100433,
+      "num_tokens": 661003.0,
+      "step": 360
+    },
+    {
+      "entropy": 6.874996137619019,
+      "epoch": 0.3024026512013256,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000182,
+      "loss": 6.6294,
+      "mean_token_accuracy": 0.09844254851341247,
+      "num_tokens": 670221.0,
+      "step": 365
+    },
+    {
+      "entropy": 7.155635738372803,
+      "epoch": 0.30654515327257664,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001845,
+      "loss": 6.9236,
+      "mean_token_accuracy": 0.0882349319756031,
+      "num_tokens": 680756.0,
+      "step": 370
+    },
+    {
+      "entropy": 6.94540753364563,
+      "epoch": 0.3106876553438277,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000187,
+      "loss": 6.6157,
+      "mean_token_accuracy": 0.10289054960012436,
+      "num_tokens": 689641.0,
+      "step": 375
+    },
+    {
+      "entropy": 6.87992377281189,
+      "epoch": 0.3148301574150787,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001895,
+      "loss": 6.5696,
+      "mean_token_accuracy": 0.09839320331811904,
+      "num_tokens": 698209.0,
+      "step": 380
+    },
+    {
+      "entropy": 6.823869276046753,
+      "epoch": 0.31897265948632975,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000192,
+      "loss": 6.5736,
+      "mean_token_accuracy": 0.10355777889490128,
+      "num_tokens": 706712.0,
+      "step": 385
+    },
+    {
+      "entropy": 7.037634468078613,
+      "epoch": 0.3231151615575808,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0001945,
+      "loss": 6.8017,
+      "mean_token_accuracy": 0.09728012606501579,
+      "num_tokens": 716087.0,
+      "step": 390
+    },
+    {
+      "entropy": 6.911249494552612,
+      "epoch": 0.3272576636288318,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00019700000000000002,
+      "loss": 6.6465,
+      "mean_token_accuracy": 0.09347675815224647,
+      "num_tokens": 725913.0,
+      "step": 395
+    },
+    {
+      "entropy": 6.944440317153931,
+      "epoch": 0.33140016570008285,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019950000000000002,
+      "loss": 6.7201,
+      "mean_token_accuracy": 0.10362306237220764,
+      "num_tokens": 735020.0,
+      "step": 400
+    },
+    {
+      "entropy": 6.985636854171753,
+      "epoch": 0.3355426677713339,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000202,
+      "loss": 6.6216,
+      "mean_token_accuracy": 0.09469136893749237,
+      "num_tokens": 744299.0,
+      "step": 405
+    },
+    {
+      "entropy": 6.883630275726318,
+      "epoch": 0.3396851698425849,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00020449999999999998,
+      "loss": 6.6099,
+      "mean_token_accuracy": 0.09694516137242318,
+      "num_tokens": 753231.0,
+      "step": 410
+    },
+    {
+      "entropy": 6.825357389450073,
+      "epoch": 0.34382767191383595,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000207,
+      "loss": 6.6717,
+      "mean_token_accuracy": 0.10230854973196983,
+      "num_tokens": 763043.0,
+      "step": 415
+    },
+    {
+      "entropy": 7.016851997375488,
+      "epoch": 0.347970173985087,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0002095,
+      "loss": 6.6905,
+      "mean_token_accuracy": 0.09913048222661018,
+      "num_tokens": 771977.0,
+      "step": 420
+    },
+    {
+      "entropy": 6.820244407653808,
+      "epoch": 0.352112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000212,
+      "loss": 6.6243,
+      "mean_token_accuracy": 0.1011092983186245,
+      "num_tokens": 780285.0,
+      "step": 425
+    },
+    {
+      "entropy": 6.956075525283813,
+      "epoch": 0.35625517812758906,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002145,
+      "loss": 6.6593,
+      "mean_token_accuracy": 0.09649045094847679,
+      "num_tokens": 789980.0,
+      "step": 430
+    },
+    {
+      "entropy": 6.984846019744873,
+      "epoch": 0.3603976801988401,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021700000000000002,
+      "loss": 6.6275,
+      "mean_token_accuracy": 0.10474459528923034,
+      "num_tokens": 798700.0,
+      "step": 435
+    },
+    {
+      "entropy": 6.767291498184204,
+      "epoch": 0.36454018227009116,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002195,
+      "loss": 6.7208,
+      "mean_token_accuracy": 0.09600067660212516,
+      "num_tokens": 808758.0,
+      "step": 440
+    },
+    {
+      "entropy": 7.046369791030884,
+      "epoch": 0.36868268434134216,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000222,
+      "loss": 6.6666,
+      "mean_token_accuracy": 0.10458802133798599,
+      "num_tokens": 817692.0,
+      "step": 445
+    },
+    {
+      "entropy": 6.95425066947937,
+      "epoch": 0.3728251864125932,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002245,
+      "loss": 6.7146,
+      "mean_token_accuracy": 0.10474570766091347,
+      "num_tokens": 827052.0,
+      "step": 450
+    },
+    {
+      "entropy": 6.895345544815063,
+      "epoch": 0.37696768848384427,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00022700000000000002,
+      "loss": 6.7139,
+      "mean_token_accuracy": 0.1091882586479187,
+      "num_tokens": 836442.0,
+      "step": 455
+    },
+    {
+      "entropy": 6.922871923446655,
+      "epoch": 0.38111019055509526,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00022950000000000002,
+      "loss": 6.5775,
+      "mean_token_accuracy": 0.10118989571928978,
+      "num_tokens": 846441.0,
+      "step": 460
+    },
+    {
+      "entropy": 6.8815388679504395,
+      "epoch": 0.3852526926263463,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00023200000000000003,
+      "loss": 6.6215,
+      "mean_token_accuracy": 0.10475475937128068,
+      "num_tokens": 856108.0,
+      "step": 465
+    },
+    {
+      "entropy": 6.848587274551392,
+      "epoch": 0.38939519469759737,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00023449999999999998,
+      "loss": 6.5833,
+      "mean_token_accuracy": 0.10137399956583977,
+      "num_tokens": 865788.0,
+      "step": 470
+    },
+    {
+      "entropy": 6.886804008483887,
+      "epoch": 0.39353769676884837,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000237,
+      "loss": 6.6302,
+      "mean_token_accuracy": 0.09514767676591873,
+      "num_tokens": 874833.0,
+      "step": 475
+    },
+    {
+      "entropy": 6.751422643661499,
+      "epoch": 0.3976801988400994,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002395,
+      "loss": 6.5997,
+      "mean_token_accuracy": 0.10276172533631325,
+      "num_tokens": 883685.0,
+      "step": 480
+    },
+    {
+      "entropy": 6.881311464309692,
+      "epoch": 0.40182270091135047,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000242,
+      "loss": 6.6001,
+      "mean_token_accuracy": 0.09796027019619942,
+      "num_tokens": 893908.0,
+      "step": 485
+    },
+    {
+      "entropy": 6.934821891784668,
+      "epoch": 0.40596520298260147,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002445,
+      "loss": 6.7142,
+      "mean_token_accuracy": 0.09827135354280472,
+      "num_tokens": 903081.0,
+      "step": 490
+    },
+    {
+      "entropy": 6.7868632793426515,
+      "epoch": 0.4101077050538525,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000247,
+      "loss": 6.5522,
+      "mean_token_accuracy": 0.10336750745773315,
+      "num_tokens": 912515.0,
+      "step": 495
+    },
+    {
+      "entropy": 6.886235475540161,
+      "epoch": 0.4142502071251036,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002495,
+      "loss": 6.5797,
+      "mean_token_accuracy": 0.1070313923060894,
+      "num_tokens": 921056.0,
+      "step": 500
+    },
+    {
+      "epoch": 0.4142502071251036,
+      "eval_entropy": 6.836038604728194,
+      "eval_loss": 6.684774875640869,
+      "eval_mean_token_accuracy": 0.10272799217021034,
+      "eval_num_tokens": 921056.0,
+      "eval_runtime": 2.7891,
+      "eval_samples_per_second": 1343.421,
+      "eval_steps_per_second": 168.152,
+      "step": 500
+    },
+    {
+      "entropy": 6.7657403469085695,
+      "epoch": 0.4183927091963546,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000252,
+      "loss": 6.5317,
+      "mean_token_accuracy": 0.10417452603578567,
+      "num_tokens": 931112.0,
+      "step": 505
+    },
+    {
+      "entropy": 6.821895503997803,
+      "epoch": 0.4225352112676056,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0002545,
+      "loss": 6.6605,
+      "mean_token_accuracy": 0.0978618748486042,
+      "num_tokens": 941120.0,
+      "step": 510
+    },
+    {
+      "entropy": 6.886211729049682,
+      "epoch": 0.4266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000257,
+      "loss": 6.6044,
+      "mean_token_accuracy": 0.09737976416945457,
+      "num_tokens": 950041.0,
+      "step": 515
+    },
+    {
+      "entropy": 6.879851579666138,
+      "epoch": 0.43082021541010773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002595,
+      "loss": 6.5907,
+      "mean_token_accuracy": 0.10606569275259972,
+      "num_tokens": 958608.0,
+      "step": 520
+    },
+    {
+      "entropy": 6.886484861373901,
+      "epoch": 0.43496271748135873,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.000262,
+      "loss": 6.7158,
+      "mean_token_accuracy": 0.09990910813212395,
+      "num_tokens": 966901.0,
+      "step": 525
+    },
+    {
+      "entropy": 6.767313003540039,
+      "epoch": 0.4391052195526098,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026450000000000003,
+      "loss": 6.5504,
+      "mean_token_accuracy": 0.10768762230873108,
+      "num_tokens": 976198.0,
+      "step": 530
+    },
+    {
+      "entropy": 6.892781782150268,
+      "epoch": 0.44324772162386084,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026700000000000004,
+      "loss": 6.624,
+      "mean_token_accuracy": 0.09861580505967141,
+      "num_tokens": 985248.0,
+      "step": 535
+    },
+    {
+      "entropy": 6.772344255447388,
+      "epoch": 0.44739022369511183,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00026950000000000005,
+      "loss": 6.5014,
+      "mean_token_accuracy": 0.1071978710591793,
+      "num_tokens": 993289.0,
+      "step": 540
+    },
+    {
+      "entropy": 6.820696449279785,
+      "epoch": 0.4515327257663629,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027200000000000005,
+      "loss": 6.5909,
+      "mean_token_accuracy": 0.10533165782690049,
+      "num_tokens": 1001784.0,
+      "step": 545
+    },
+    {
+      "entropy": 6.935409688949585,
+      "epoch": 0.45567522783761394,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002745,
+      "loss": 6.5627,
+      "mean_token_accuracy": 0.10804210156202317,
+      "num_tokens": 1010445.0,
+      "step": 550
+    },
+    {
+      "entropy": 6.745790100097656,
+      "epoch": 0.45981772990886494,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000277,
+      "loss": 6.6184,
+      "mean_token_accuracy": 0.10709234476089477,
+      "num_tokens": 1019084.0,
+      "step": 555
+    },
+    {
+      "entropy": 6.7490733623504635,
+      "epoch": 0.463960231980116,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002795,
+      "loss": 6.5249,
+      "mean_token_accuracy": 0.10461713373661041,
+      "num_tokens": 1027263.0,
+      "step": 560
+    },
+    {
+      "entropy": 6.876884937286377,
+      "epoch": 0.46810273405136704,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00028199999999999997,
+      "loss": 6.6233,
+      "mean_token_accuracy": 0.09752989709377288,
+      "num_tokens": 1036275.0,
+      "step": 565
+    },
+    {
+      "entropy": 6.765736055374146,
+      "epoch": 0.47224523612261804,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002845,
+      "loss": 6.7015,
+      "mean_token_accuracy": 0.09858408868312836,
+      "num_tokens": 1045208.0,
+      "step": 570
+    },
+    {
+      "entropy": 6.9024957656860355,
+      "epoch": 0.4763877381938691,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000287,
+      "loss": 6.6287,
+      "mean_token_accuracy": 0.1026283286511898,
+      "num_tokens": 1054703.0,
+      "step": 575
+    },
+    {
+      "entropy": 6.647345924377442,
+      "epoch": 0.48053024026512015,
+      "grad_norm": 1.5,
+      "learning_rate": 0.0002895,
+      "loss": 6.4841,
+      "mean_token_accuracy": 0.10212503597140313,
+      "num_tokens": 1063652.0,
+      "step": 580
+    },
+    {
+      "entropy": 6.717900657653809,
+      "epoch": 0.48467274233637114,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000292,
+      "loss": 6.5873,
+      "mean_token_accuracy": 0.10145951434969902,
+      "num_tokens": 1072070.0,
+      "step": 585
+    },
+    {
+      "entropy": 6.997959756851197,
+      "epoch": 0.4888152444076222,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002945,
+      "loss": 6.6143,
+      "mean_token_accuracy": 0.10064447894692422,
+      "num_tokens": 1079992.0,
+      "step": 590
+    },
+    {
+      "entropy": 6.657160854339599,
+      "epoch": 0.49295774647887325,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000297,
+      "loss": 6.628,
+      "mean_token_accuracy": 0.10435748845338821,
+      "num_tokens": 1088862.0,
+      "step": 595
+    },
+    {
+      "entropy": 6.773271942138672,
+      "epoch": 0.4971002485501243,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002995,
+      "loss": 6.4317,
+      "mean_token_accuracy": 0.10795770138502121,
+      "num_tokens": 1097614.0,
+      "step": 600
+    },
+    {
+      "entropy": 6.7102379322052,
+      "epoch": 0.5012427506213754,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000302,
+      "loss": 6.6288,
+      "mean_token_accuracy": 0.10706980749964715,
+      "num_tokens": 1107347.0,
+      "step": 605
+    },
+    {
+      "entropy": 6.8672473430633545,
+      "epoch": 0.5053852526926264,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003045,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10073774978518486,
+      "num_tokens": 1116707.0,
+      "step": 610
+    },
+    {
+      "entropy": 6.764383840560913,
+      "epoch": 0.5095277547638773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000307,
+      "loss": 6.6549,
+      "mean_token_accuracy": 0.10234303548932075,
+      "num_tokens": 1126356.0,
+      "step": 615
+    },
+    {
+      "entropy": 6.787193298339844,
+      "epoch": 0.5136702568351285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003095,
+      "loss": 6.5847,
+      "mean_token_accuracy": 0.10079671740531922,
+      "num_tokens": 1136281.0,
+      "step": 620
+    },
+    {
+      "entropy": 6.713733196258545,
+      "epoch": 0.5178127589063795,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000312,
+      "loss": 6.5355,
+      "mean_token_accuracy": 0.10429632142186165,
+      "num_tokens": 1145466.0,
+      "step": 625
+    },
+    {
+      "entropy": 6.7503923892974855,
+      "epoch": 0.5219552609776305,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003145,
+      "loss": 6.5409,
+      "mean_token_accuracy": 0.10918259546160698,
+      "num_tokens": 1154225.0,
+      "step": 630
+    },
+    {
+      "entropy": 6.761834907531738,
+      "epoch": 0.5260977630488816,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000317,
+      "loss": 6.5885,
+      "mean_token_accuracy": 0.09673135951161385,
+      "num_tokens": 1163872.0,
+      "step": 635
+    },
+    {
+      "entropy": 6.69431324005127,
+      "epoch": 0.5302402651201326,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003195,
+      "loss": 6.5244,
+      "mean_token_accuracy": 0.10705070868134499,
+      "num_tokens": 1172695.0,
+      "step": 640
+    },
+    {
+      "entropy": 6.651590061187744,
+      "epoch": 0.5343827671913836,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000322,
+      "loss": 6.3962,
+      "mean_token_accuracy": 0.11006554961204529,
+      "num_tokens": 1181291.0,
+      "step": 645
+    },
+    {
+      "entropy": 6.782713270187378,
+      "epoch": 0.5385252692626347,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00032450000000000003,
+      "loss": 6.5715,
+      "mean_token_accuracy": 0.10394523739814758,
+      "num_tokens": 1189927.0,
+      "step": 650
+    },
+    {
+      "entropy": 6.705166435241699,
+      "epoch": 0.5426677713338857,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00032700000000000003,
+      "loss": 6.5043,
+      "mean_token_accuracy": 0.10940467119216919,
+      "num_tokens": 1197913.0,
+      "step": 655
+    },
+    {
+      "entropy": 6.670699262619019,
+      "epoch": 0.5468102734051367,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032950000000000004,
+      "loss": 6.4309,
+      "mean_token_accuracy": 0.11147961542010307,
+      "num_tokens": 1207032.0,
+      "step": 660
+    },
+    {
+      "entropy": 6.640204334259034,
+      "epoch": 0.5509527754763878,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00033200000000000005,
+      "loss": 6.5397,
+      "mean_token_accuracy": 0.10571447387337685,
+      "num_tokens": 1215710.0,
+      "step": 665
+    },
+    {
+      "entropy": 6.694819068908691,
+      "epoch": 0.5550952775476388,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033450000000000005,
+      "loss": 6.52,
+      "mean_token_accuracy": 0.10049431845545768,
+      "num_tokens": 1225619.0,
+      "step": 670
+    },
+    {
+      "entropy": 6.649594163894653,
+      "epoch": 0.5592377796188898,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000337,
+      "loss": 6.4407,
+      "mean_token_accuracy": 0.11157044768333435,
+      "num_tokens": 1235000.0,
+      "step": 675
+    },
+    {
+      "entropy": 6.612611961364746,
+      "epoch": 0.5633802816901409,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003395,
+      "loss": 6.4462,
+      "mean_token_accuracy": 0.108580531924963,
+      "num_tokens": 1243594.0,
+      "step": 680
+    },
+    {
+      "entropy": 6.843221950531006,
+      "epoch": 0.5675227837613919,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000342,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10460855960845947,
+      "num_tokens": 1252279.0,
+      "step": 685
+    },
+    {
+      "entropy": 6.760235929489136,
+      "epoch": 0.5716652858326429,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034449999999999997,
+      "loss": 6.559,
+      "mean_token_accuracy": 0.10665302500128745,
+      "num_tokens": 1261314.0,
+      "step": 690
+    },
+    {
+      "entropy": 6.55326566696167,
+      "epoch": 0.575807787903894,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000347,
+      "loss": 6.4337,
+      "mean_token_accuracy": 0.11188110187649727,
+      "num_tokens": 1270854.0,
+      "step": 695
+    },
+    {
+      "entropy": 6.618375587463379,
+      "epoch": 0.579950289975145,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003495,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.11392810270190239,
+      "num_tokens": 1279183.0,
+      "step": 700
+    },
+    {
+      "entropy": 6.626208257675171,
+      "epoch": 0.584092792046396,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000352,
+      "loss": 6.5015,
+      "mean_token_accuracy": 0.10761247500777245,
+      "num_tokens": 1288347.0,
+      "step": 705
+    },
+    {
+      "entropy": 6.6855669021606445,
+      "epoch": 0.5882352941176471,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003545,
+      "loss": 6.5036,
+      "mean_token_accuracy": 0.10823310390114785,
+      "num_tokens": 1297449.0,
+      "step": 710
+    },
+    {
+      "entropy": 6.710147094726563,
+      "epoch": 0.5923777961888981,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000357,
+      "loss": 6.4688,
+      "mean_token_accuracy": 0.10904998034238815,
+      "num_tokens": 1306232.0,
+      "step": 715
+    },
+    {
+      "entropy": 6.6553794860839846,
+      "epoch": 0.5965202982601492,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003595,
+      "loss": 6.4857,
+      "mean_token_accuracy": 0.11109372302889824,
+      "num_tokens": 1315073.0,
+      "step": 720
+    },
+    {
+      "entropy": 6.674065732955933,
+      "epoch": 0.6006628003314002,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000362,
+      "loss": 6.5301,
+      "mean_token_accuracy": 0.10648825243115426,
+      "num_tokens": 1324629.0,
+      "step": 725
+    },
+    {
+      "entropy": 6.700368881225586,
+      "epoch": 0.6048053024026512,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0003645,
+      "loss": 6.6444,
+      "mean_token_accuracy": 0.10443340390920638,
+      "num_tokens": 1334152.0,
+      "step": 730
+    },
+    {
+      "entropy": 6.779498624801636,
+      "epoch": 0.6089478044739023,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000367,
+      "loss": 6.5946,
+      "mean_token_accuracy": 0.10130336955189705,
+      "num_tokens": 1343063.0,
+      "step": 735
+    },
+    {
+      "entropy": 6.684298419952393,
+      "epoch": 0.6130903065451533,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0003695,
+      "loss": 6.5241,
+      "mean_token_accuracy": 0.10516620799899101,
+      "num_tokens": 1352632.0,
+      "step": 740
+    },
+    {
+      "entropy": 6.582866573333741,
+      "epoch": 0.6172328086164043,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000372,
+      "loss": 6.4712,
+      "mean_token_accuracy": 0.10765027329325676,
+      "num_tokens": 1361103.0,
+      "step": 745
+    },
+    {
+      "entropy": 6.643687963485718,
+      "epoch": 0.6213753106876554,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003745,
+      "loss": 6.4642,
+      "mean_token_accuracy": 0.10832677409052849,
+      "num_tokens": 1370658.0,
+      "step": 750
+    },
+    {
+      "entropy": 6.64506516456604,
+      "epoch": 0.6255178127589064,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000377,
+      "loss": 6.4878,
+      "mean_token_accuracy": 0.10808288529515267,
+      "num_tokens": 1379817.0,
+      "step": 755
+    },
+    {
+      "entropy": 6.640752458572388,
+      "epoch": 0.6296603148301574,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003795,
+      "loss": 6.4418,
+      "mean_token_accuracy": 0.10874675288796425,
+      "num_tokens": 1389329.0,
+      "step": 760
+    },
+    {
+      "entropy": 6.4627049446105955,
+      "epoch": 0.6338028169014085,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000382,
+      "loss": 6.4902,
+      "mean_token_accuracy": 0.10606684386730195,
+      "num_tokens": 1399279.0,
+      "step": 765
+    },
+    {
+      "entropy": 6.621781063079834,
+      "epoch": 0.6379453189726595,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003845,
+      "loss": 6.4146,
+      "mean_token_accuracy": 0.11267002299427986,
+      "num_tokens": 1408765.0,
+      "step": 770
+    },
+    {
+      "entropy": 6.736465692520142,
+      "epoch": 0.6420878210439105,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038700000000000003,
+      "loss": 6.5632,
+      "mean_token_accuracy": 0.10607504546642303,
+      "num_tokens": 1418615.0,
+      "step": 775
+    },
+    {
+      "entropy": 6.616378879547119,
+      "epoch": 0.6462303231151616,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038950000000000003,
+      "loss": 6.4664,
+      "mean_token_accuracy": 0.10207068845629692,
+      "num_tokens": 1427359.0,
+      "step": 780
+    },
+    {
+      "entropy": 6.70065336227417,
+      "epoch": 0.6503728251864126,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00039200000000000004,
+      "loss": 6.622,
+      "mean_token_accuracy": 0.1116428442299366,
+      "num_tokens": 1435516.0,
+      "step": 785
+    },
+    {
+      "entropy": 6.709064102172851,
+      "epoch": 0.6545153272576636,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00039450000000000005,
+      "loss": 6.5704,
+      "mean_token_accuracy": 0.10583743155002594,
+      "num_tokens": 1444438.0,
+      "step": 790
+    },
+    {
+      "entropy": 6.671351766586303,
+      "epoch": 0.6586578293289147,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00039700000000000005,
+      "loss": 6.4996,
+      "mean_token_accuracy": 0.11326526403427124,
+      "num_tokens": 1453740.0,
+      "step": 795
+    },
+    {
+      "entropy": 6.614573907852173,
+      "epoch": 0.6628003314001657,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003995,
+      "loss": 6.4874,
+      "mean_token_accuracy": 0.11111863479018211,
+      "num_tokens": 1462083.0,
+      "step": 800
+    },
+    {
+      "entropy": 6.484545516967773,
+      "epoch": 0.6669428334714167,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000402,
+      "loss": 6.4127,
+      "mean_token_accuracy": 0.1100592203438282,
+      "num_tokens": 1471459.0,
+      "step": 805
+    },
+    {
+      "entropy": 6.621589279174804,
+      "epoch": 0.6710853355426678,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004045,
+      "loss": 6.3972,
+      "mean_token_accuracy": 0.11681128293275833,
+      "num_tokens": 1480516.0,
+      "step": 810
+    },
+    {
+      "entropy": 6.421737241744995,
+      "epoch": 0.6752278376139188,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00040699999999999997,
+      "loss": 6.3,
+      "mean_token_accuracy": 0.11318568140268326,
+      "num_tokens": 1489268.0,
+      "step": 815
+    },
+    {
+      "entropy": 6.700246906280517,
+      "epoch": 0.6793703396851698,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004095,
+      "loss": 6.5174,
+      "mean_token_accuracy": 0.11110908538103104,
+      "num_tokens": 1498819.0,
+      "step": 820
+    },
+    {
+      "entropy": 6.622490644454956,
+      "epoch": 0.6835128417564209,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000412,
+      "loss": 6.501,
+      "mean_token_accuracy": 0.11033953949809075,
+      "num_tokens": 1507852.0,
+      "step": 825
+    },
+    {
+      "entropy": 6.59730544090271,
+      "epoch": 0.6876553438276719,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004145,
+      "loss": 6.5302,
+      "mean_token_accuracy": 0.11122860461473465,
+      "num_tokens": 1517538.0,
+      "step": 830
+    },
+    {
+      "entropy": 6.458763217926025,
+      "epoch": 0.6917978458989229,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000417,
+      "loss": 6.4061,
+      "mean_token_accuracy": 0.11324542313814163,
+      "num_tokens": 1525389.0,
+      "step": 835
+    },
+    {
+      "entropy": 6.57511887550354,
+      "epoch": 0.695940347970174,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004195,
+      "loss": 6.3741,
+      "mean_token_accuracy": 0.11116622686386109,
+      "num_tokens": 1534117.0,
+      "step": 840
+    },
+    {
+      "entropy": 6.522304344177246,
+      "epoch": 0.700082850041425,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000422,
+      "loss": 6.4029,
+      "mean_token_accuracy": 0.11315450444817543,
+      "num_tokens": 1542610.0,
+      "step": 845
+    },
+    {
+      "entropy": 6.5175107479095455,
+      "epoch": 0.704225352112676,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004245,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.1143906556069851,
+      "num_tokens": 1551771.0,
+      "step": 850
+    },
+    {
+      "entropy": 6.620167636871338,
+      "epoch": 0.7083678541839271,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.000427,
+      "loss": 6.5779,
+      "mean_token_accuracy": 0.10512799099087715,
+      "num_tokens": 1560231.0,
+      "step": 855
+    },
+    {
+      "entropy": 6.589151382446289,
+      "epoch": 0.7125103562551781,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004295,
+      "loss": 6.5346,
+      "mean_token_accuracy": 0.10532297939062119,
+      "num_tokens": 1569578.0,
+      "step": 860
+    },
+    {
+      "entropy": 6.563750839233398,
+      "epoch": 0.7166528583264291,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000432,
+      "loss": 6.4187,
+      "mean_token_accuracy": 0.11381370946764946,
+      "num_tokens": 1579308.0,
+      "step": 865
+    },
+    {
+      "entropy": 6.597287034988403,
+      "epoch": 0.7207953603976802,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004345,
+      "loss": 6.6081,
+      "mean_token_accuracy": 0.10267190784215927,
+      "num_tokens": 1589506.0,
+      "step": 870
+    },
+    {
+      "entropy": 6.482245397567749,
+      "epoch": 0.7249378624689312,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000437,
+      "loss": 6.3671,
+      "mean_token_accuracy": 0.11368186473846435,
+      "num_tokens": 1598127.0,
+      "step": 875
+    },
+    {
+      "entropy": 6.548954200744629,
+      "epoch": 0.7290803645401823,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004395,
+      "loss": 6.4125,
+      "mean_token_accuracy": 0.11406067088246345,
+      "num_tokens": 1608073.0,
+      "step": 880
+    },
+    {
+      "entropy": 6.551317119598389,
+      "epoch": 0.7332228666114333,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000442,
+      "loss": 6.4304,
+      "mean_token_accuracy": 0.11178040653467178,
+      "num_tokens": 1616272.0,
+      "step": 885
+    },
+    {
+      "entropy": 6.496135663986206,
+      "epoch": 0.7373653686826843,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004445,
+      "loss": 6.447,
+      "mean_token_accuracy": 0.10845504105091094,
+      "num_tokens": 1625577.0,
+      "step": 890
+    },
+    {
+      "entropy": 6.685812950134277,
+      "epoch": 0.7415078707539354,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000447,
+      "loss": 6.533,
+      "mean_token_accuracy": 0.10158233270049095,
+      "num_tokens": 1634902.0,
+      "step": 895
+    },
+    {
+      "entropy": 6.520436191558838,
+      "epoch": 0.7456503728251864,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00044950000000000003,
+      "loss": 6.4674,
+      "mean_token_accuracy": 0.10865833014249801,
+      "num_tokens": 1644131.0,
+      "step": 900
+    },
+    {
+      "entropy": 6.461379718780518,
+      "epoch": 0.7497928748964374,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00045200000000000004,
+      "loss": 6.3694,
+      "mean_token_accuracy": 0.12158194407820702,
+      "num_tokens": 1652272.0,
+      "step": 905
+    },
+    {
+      "entropy": 6.533070278167725,
+      "epoch": 0.7539353769676885,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00045450000000000004,
+      "loss": 6.4632,
+      "mean_token_accuracy": 0.11447574123740197,
+      "num_tokens": 1660962.0,
+      "step": 910
+    },
+    {
+      "entropy": 6.475569725036621,
+      "epoch": 0.7580778790389395,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045700000000000005,
+      "loss": 6.4006,
+      "mean_token_accuracy": 0.11205699220299721,
+      "num_tokens": 1670570.0,
+      "step": 915
+    },
+    {
+      "entropy": 6.526782608032226,
+      "epoch": 0.7622203811101905,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00045950000000000006,
+      "loss": 6.4497,
+      "mean_token_accuracy": 0.1096197433769703,
+      "num_tokens": 1679674.0,
+      "step": 920
+    },
+    {
+      "entropy": 6.530770015716553,
+      "epoch": 0.7663628831814416,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000462,
+      "loss": 6.4324,
+      "mean_token_accuracy": 0.11466658413410187,
+      "num_tokens": 1688849.0,
+      "step": 925
+    },
+    {
+      "entropy": 6.4163538932800295,
+      "epoch": 0.7705053852526926,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004645,
+      "loss": 6.3128,
+      "mean_token_accuracy": 0.1098814107477665,
+      "num_tokens": 1698565.0,
+      "step": 930
+    },
+    {
+      "entropy": 6.5036052703857425,
+      "epoch": 0.7746478873239436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000467,
+      "loss": 6.3986,
+      "mean_token_accuracy": 0.11683695837855339,
+      "num_tokens": 1708009.0,
+      "step": 935
+    },
+    {
+      "entropy": 6.518198871612549,
+      "epoch": 0.7787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004695,
+      "loss": 6.3878,
+      "mean_token_accuracy": 0.1126109592616558,
+      "num_tokens": 1716497.0,
+      "step": 940
+    },
+    {
+      "entropy": 6.415347719192505,
+      "epoch": 0.7829328914664457,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000472,
+      "loss": 6.4082,
+      "mean_token_accuracy": 0.12070046439766884,
+      "num_tokens": 1725609.0,
+      "step": 945
+    },
+    {
+      "entropy": 6.477306175231933,
+      "epoch": 0.7870753935376967,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004745,
+      "loss": 6.3456,
+      "mean_token_accuracy": 0.11454906165599824,
+      "num_tokens": 1734165.0,
+      "step": 950
+    },
+    {
+      "entropy": 6.454520893096924,
+      "epoch": 0.7912178956089478,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000477,
+      "loss": 6.4546,
+      "mean_token_accuracy": 0.10918105840682983,
+      "num_tokens": 1744856.0,
+      "step": 955
+    },
+    {
+      "entropy": 6.4711943626403805,
+      "epoch": 0.7953603976801988,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004795,
+      "loss": 6.4509,
+      "mean_token_accuracy": 0.10578904524445534,
+      "num_tokens": 1753386.0,
+      "step": 960
+    },
+    {
+      "entropy": 6.4536961078643795,
+      "epoch": 0.7995028997514498,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000482,
+      "loss": 6.3053,
+      "mean_token_accuracy": 0.11872726455330848,
+      "num_tokens": 1762521.0,
+      "step": 965
+    },
+    {
+      "entropy": 6.34936490058899,
+      "epoch": 0.8036454018227009,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004845,
+      "loss": 6.3765,
+      "mean_token_accuracy": 0.11444728896021843,
+      "num_tokens": 1772403.0,
+      "step": 970
+    },
+    {
+      "entropy": 6.375087881088257,
+      "epoch": 0.8077879038939519,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000487,
+      "loss": 6.2884,
+      "mean_token_accuracy": 0.11179185584187508,
+      "num_tokens": 1780924.0,
+      "step": 975
+    },
+    {
+      "entropy": 6.547906732559204,
+      "epoch": 0.8119304059652029,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004895,
+      "loss": 6.4367,
+      "mean_token_accuracy": 0.11225800514221192,
+      "num_tokens": 1789992.0,
+      "step": 980
+    },
+    {
+      "entropy": 6.421040678024292,
+      "epoch": 0.816072908036454,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000492,
+      "loss": 6.3919,
+      "mean_token_accuracy": 0.11761699616909027,
+      "num_tokens": 1799513.0,
+      "step": 985
+    },
+    {
+      "entropy": 6.332476711273193,
+      "epoch": 0.820215410107705,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0004945,
+      "loss": 6.2287,
+      "mean_token_accuracy": 0.11279567033052444,
+      "num_tokens": 1807393.0,
+      "step": 990
+    },
+    {
+      "entropy": 6.438618326187134,
+      "epoch": 0.824357912178956,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000497,
+      "loss": 6.5079,
+      "mean_token_accuracy": 0.10579989776015282,
+      "num_tokens": 1817284.0,
+      "step": 995
+    },
+    {
+      "entropy": 6.449818515777588,
+      "epoch": 0.8285004142502072,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004995,
+      "loss": 6.2996,
+      "mean_token_accuracy": 0.11799877136945724,
+      "num_tokens": 1825591.0,
+      "step": 1000
+    },
+    {
+      "epoch": 0.8285004142502072,
+      "eval_entropy": 6.222835092402216,
+      "eval_loss": 6.475013256072998,
+      "eval_mean_token_accuracy": 0.11269166863866961,
+      "eval_num_tokens": 1825591.0,
+      "eval_runtime": 2.7611,
+      "eval_samples_per_second": 1357.068,
+      "eval_steps_per_second": 169.86,
+      "step": 1000
+    },
+    {
+      "entropy": 6.457831478118896,
+      "epoch": 0.8326429163214581,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0004999998547681232,
+      "loss": 6.3959,
+      "mean_token_accuracy": 0.11798396334052086,
+      "num_tokens": 1834655.0,
+      "step": 1005
+    },
+    {
+      "entropy": 6.26599349975586,
+      "epoch": 0.8367854183927091,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004999992647639447,
+      "loss": 6.2578,
+      "mean_token_accuracy": 0.11858200430870056,
+      "num_tokens": 1844187.0,
+      "step": 1010
+    },
+    {
+      "entropy": 6.415271520614624,
+      "epoch": 0.8409279204639603,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999982209116618,
+      "loss": 6.3345,
+      "mean_token_accuracy": 0.11406200677156449,
+      "num_tokens": 1852768.0,
+      "step": 1015
+    },
+    {
+      "entropy": 6.355557584762574,
+      "epoch": 0.8450704225352113,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004999967232133796,
+      "loss": 6.3913,
+      "mean_token_accuracy": 0.12348653748631477,
+      "num_tokens": 1862095.0,
+      "step": 1020
+    },
+    {
+      "entropy": 6.427043008804321,
+      "epoch": 0.8492129246064622,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004999947716721196,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.10961534604430198,
+      "num_tokens": 1871239.0,
+      "step": 1025
+    },
+    {
+      "entropy": 6.509608554840088,
+      "epoch": 0.8533554266777134,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004999923662918179,
+      "loss": 6.4323,
+      "mean_token_accuracy": 0.11334251016378402,
+      "num_tokens": 1880065.0,
+      "step": 1030
+    },
+    {
+      "entropy": 6.417975521087646,
+      "epoch": 0.8574979287489644,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999895070773266,
+      "loss": 6.4608,
+      "mean_token_accuracy": 0.10985229611396789,
+      "num_tokens": 1889065.0,
+      "step": 1035
+    },
+    {
+      "entropy": 6.429206514358521,
+      "epoch": 0.8616404308202155,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999861940344129,
+      "loss": 6.4721,
+      "mean_token_accuracy": 0.11190373301506043,
+      "num_tokens": 1898238.0,
+      "step": 1040
+    },
+    {
+      "entropy": 6.462369585037232,
+      "epoch": 0.8657829328914665,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004999824271697597,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.12136606723070145,
+      "num_tokens": 1906780.0,
+      "step": 1045
+    },
+    {
+      "entropy": 6.506088638305664,
+      "epoch": 0.8699254349627175,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000499978206490965,
+      "loss": 6.4745,
+      "mean_token_accuracy": 0.11197563111782075,
+      "num_tokens": 1916183.0,
+      "step": 1050
+    },
+    {
+      "entropy": 6.427097368240356,
+      "epoch": 0.8740679370339686,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999735320065427,
+      "loss": 6.3371,
+      "mean_token_accuracy": 0.11927392706274986,
+      "num_tokens": 1925382.0,
+      "step": 1055
+    },
+    {
+      "entropy": 6.292429256439209,
+      "epoch": 0.8782104391052196,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999684037259216,
+      "loss": 6.1827,
+      "mean_token_accuracy": 0.1270924136042595,
+      "num_tokens": 1933639.0,
+      "step": 1060
+    },
+    {
+      "entropy": 6.3600146770477295,
+      "epoch": 0.8823529411764706,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999628216594456,
+      "loss": 6.464,
+      "mean_token_accuracy": 0.11409285366535186,
+      "num_tokens": 1943044.0,
+      "step": 1065
+    },
+    {
+      "entropy": 6.460871028900146,
+      "epoch": 0.8864954432477217,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000499956785818375,
+      "loss": 6.303,
+      "mean_token_accuracy": 0.11871922463178634,
+      "num_tokens": 1951777.0,
+      "step": 1070
+    },
+    {
+      "entropy": 6.376981210708618,
+      "epoch": 0.8906379453189727,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004999502962148843,
+      "loss": 6.3666,
+      "mean_token_accuracy": 0.1170460693538189,
+      "num_tokens": 1961356.0,
+      "step": 1075
+    },
+    {
+      "entropy": 6.439280414581299,
+      "epoch": 0.8947804473902237,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000499943352862064,
+      "loss": 6.4248,
+      "mean_token_accuracy": 0.11459407210350037,
+      "num_tokens": 1970341.0,
+      "step": 1080
+    },
+    {
+      "entropy": 6.394289827346801,
+      "epoch": 0.8989229494614748,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004999359557739194,
+      "loss": 6.2796,
+      "mean_token_accuracy": 0.12198276743292809,
+      "num_tokens": 1978576.0,
+      "step": 1085
+    },
+    {
+      "entropy": 6.319045782089233,
+      "epoch": 0.9030654515327258,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004999281049653713,
+      "loss": 6.3227,
+      "mean_token_accuracy": 0.11601013913750649,
+      "num_tokens": 1987229.0,
+      "step": 1090
+    },
+    {
+      "entropy": 6.376017141342163,
+      "epoch": 0.9072079536039768,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999198004522557,
+      "loss": 6.261,
+      "mean_token_accuracy": 0.12269015237689018,
+      "num_tokens": 1996473.0,
+      "step": 1095
+    },
+    {
+      "entropy": 6.2405853271484375,
+      "epoch": 0.9113504556752279,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999110422513237,
+      "loss": 6.286,
+      "mean_token_accuracy": 0.12056776732206345,
+      "num_tokens": 2005551.0,
+      "step": 1100
+    },
+    {
+      "entropy": 6.398191165924072,
+      "epoch": 0.9154929577464789,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999018303802414,
+      "loss": 6.3869,
+      "mean_token_accuracy": 0.11947718560695648,
+      "num_tokens": 2015012.0,
+      "step": 1105
+    },
+    {
+      "entropy": 6.374700450897217,
+      "epoch": 0.9196354598177299,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004998921648575904,
+      "loss": 6.3999,
+      "mean_token_accuracy": 0.1203969657421112,
+      "num_tokens": 2024435.0,
+      "step": 1110
+    },
+    {
+      "entropy": 6.380674362182617,
+      "epoch": 0.923777961888981,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004998820457028669,
+      "loss": 6.3005,
+      "mean_token_accuracy": 0.12089794874191284,
+      "num_tokens": 2033991.0,
+      "step": 1115
+    },
+    {
+      "entropy": 6.409522771835327,
+      "epoch": 0.927920463960232,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998714729364824,
+      "loss": 6.3017,
+      "mean_token_accuracy": 0.1228084571659565,
+      "num_tokens": 2043117.0,
+      "step": 1120
+    },
+    {
+      "entropy": 6.326260423660278,
+      "epoch": 0.932062966031483,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004998604465797634,
+      "loss": 6.3305,
+      "mean_token_accuracy": 0.11992078274488449,
+      "num_tokens": 2052304.0,
+      "step": 1125
+    },
+    {
+      "entropy": 6.251798295974732,
+      "epoch": 0.9362054681027341,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998489666549512,
+      "loss": 6.2779,
+      "mean_token_accuracy": 0.12114684730768203,
+      "num_tokens": 2061217.0,
+      "step": 1130
+    },
+    {
+      "entropy": 6.319644594192505,
+      "epoch": 0.9403479701739851,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.0004998370331852021,
+      "loss": 6.2517,
+      "mean_token_accuracy": 0.11879112273454666,
+      "num_tokens": 2070796.0,
+      "step": 1135
+    },
+    {
+      "entropy": 6.465651321411133,
+      "epoch": 0.9444904722452361,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004998246461945872,
+      "loss": 6.4037,
+      "mean_token_accuracy": 0.12191760018467904,
+      "num_tokens": 2080202.0,
+      "step": 1140
+    },
+    {
+      "entropy": 6.320812797546386,
+      "epoch": 0.9486329743164872,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004998118057080923,
+      "loss": 6.3045,
+      "mean_token_accuracy": 0.11891168132424354,
+      "num_tokens": 2089788.0,
+      "step": 1145
+    },
+    {
+      "entropy": 6.301202344894409,
+      "epoch": 0.9527754763877382,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004997985117516183,
+      "loss": 6.3462,
+      "mean_token_accuracy": 0.11142431199550629,
+      "num_tokens": 2098727.0,
+      "step": 1150
+    },
+    {
+      "entropy": 6.344118309020996,
+      "epoch": 0.9569179784589892,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997847643519803,
+      "loss": 6.226,
+      "mean_token_accuracy": 0.11924557387828827,
+      "num_tokens": 2107645.0,
+      "step": 1155
+    },
+    {
+      "entropy": 6.1790977954864506,
+      "epoch": 0.9610604805302403,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997705635369085,
+      "loss": 6.1991,
+      "mean_token_accuracy": 0.11988648250699044,
+      "num_tokens": 2116613.0,
+      "step": 1160
+    },
+    {
+      "entropy": 6.284418439865112,
+      "epoch": 0.9652029826014913,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004997559093350474,
+      "loss": 6.1881,
+      "mean_token_accuracy": 0.12116428092122078,
+      "num_tokens": 2125585.0,
+      "step": 1165
+    },
+    {
+      "entropy": 6.396596622467041,
+      "epoch": 0.9693454846727423,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004997408017759562,
+      "loss": 6.3359,
+      "mean_token_accuracy": 0.11936862170696258,
+      "num_tokens": 2134795.0,
+      "step": 1170
+    },
+    {
+      "entropy": 6.273751878738404,
+      "epoch": 0.9734879867439934,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004997252408901084,
+      "loss": 6.3271,
+      "mean_token_accuracy": 0.11899949684739113,
+      "num_tokens": 2143699.0,
+      "step": 1175
+    },
+    {
+      "entropy": 6.386678028106689,
+      "epoch": 0.9776304888152444,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004997092267088922,
+      "loss": 6.2707,
+      "mean_token_accuracy": 0.11861606612801552,
+      "num_tokens": 2152187.0,
+      "step": 1180
+    },
+    {
+      "entropy": 6.275117111206055,
+      "epoch": 0.9817729908864954,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004996927592646097,
+      "loss": 6.3412,
+      "mean_token_accuracy": 0.11767763197422028,
+      "num_tokens": 2160941.0,
+      "step": 1185
+    },
+    {
+      "entropy": 6.339710283279419,
+      "epoch": 0.9859154929577465,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004996758385904776,
+      "loss": 6.3119,
+      "mean_token_accuracy": 0.11789651140570641,
+      "num_tokens": 2168946.0,
+      "step": 1190
+    },
+    {
+      "entropy": 6.181374216079712,
+      "epoch": 0.9900579950289975,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004996584647206269,
+      "loss": 6.2237,
+      "mean_token_accuracy": 0.12055367529392243,
+      "num_tokens": 2177662.0,
+      "step": 1195
+    },
+    {
+      "entropy": 6.316773986816406,
+      "epoch": 0.9942004971002486,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004996406376901026,
+      "loss": 6.3268,
+      "mean_token_accuracy": 0.12757316455245019,
+      "num_tokens": 2187461.0,
+      "step": 1200
+    },
+    {
+      "entropy": 6.283385133743286,
+      "epoch": 0.9983429991714996,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004996223575348635,
+      "loss": 6.2207,
+      "mean_token_accuracy": 0.12578138560056687,
+      "num_tokens": 2196878.0,
+      "step": 1205
+    },
+    {
+      "entropy": 6.311019659042358,
+      "epoch": 1.0024855012427507,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004996036242917828,
+      "loss": 6.2021,
+      "mean_token_accuracy": 0.1151522897183895,
+      "num_tokens": 2206178.0,
+      "step": 1210
+    },
+    {
+      "entropy": 6.25421667098999,
+      "epoch": 1.0066280033140016,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004995844379986476,
+      "loss": 6.0526,
+      "mean_token_accuracy": 0.12476176023483276,
+      "num_tokens": 2215330.0,
+      "step": 1215
+    },
+    {
+      "entropy": 6.309921216964722,
+      "epoch": 1.0107705053852527,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004995647986941587,
+      "loss": 6.0354,
+      "mean_token_accuracy": 0.13005029112100602,
+      "num_tokens": 2224146.0,
+      "step": 1220
+    },
+    {
+      "entropy": 6.241363286972046,
+      "epoch": 1.0149130074565038,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004995447064179308,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13421598002314566,
+      "num_tokens": 2233646.0,
+      "step": 1225
+    },
+    {
+      "entropy": 6.058859920501709,
+      "epoch": 1.0190555095277547,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.000499524161210492,
+      "loss": 5.9379,
+      "mean_token_accuracy": 0.12560308948159218,
+      "num_tokens": 2243663.0,
+      "step": 1230
+    },
+    {
+      "entropy": 6.270004224777222,
+      "epoch": 1.0231980115990058,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004995031631132844,
+      "loss": 6.1035,
+      "mean_token_accuracy": 0.13170127123594283,
+      "num_tokens": 2252564.0,
+      "step": 1235
+    },
+    {
+      "entropy": 6.2710247993469235,
+      "epoch": 1.027340513670257,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004994817121686633,
+      "loss": 6.099,
+      "mean_token_accuracy": 0.12465815395116805,
+      "num_tokens": 2262504.0,
+      "step": 1240
+    },
+    {
+      "entropy": 6.193396997451782,
+      "epoch": 1.0314830157415078,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004994598084198979,
+      "loss": 5.9843,
+      "mean_token_accuracy": 0.1374910719692707,
+      "num_tokens": 2270553.0,
+      "step": 1245
+    },
+    {
+      "entropy": 6.136552810668945,
+      "epoch": 1.035625517812759,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004994374519111701,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.1272726461291313,
+      "num_tokens": 2279319.0,
+      "step": 1250
+    },
+    {
+      "entropy": 6.217378282546997,
+      "epoch": 1.03976801988401,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004994146426875757,
+      "loss": 6.123,
+      "mean_token_accuracy": 0.126935476064682,
+      "num_tokens": 2288749.0,
+      "step": 1255
+    },
+    {
+      "entropy": 6.218695068359375,
+      "epoch": 1.043910521955261,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004993913807951232,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.12562426924705505,
+      "num_tokens": 2298272.0,
+      "step": 1260
+    },
+    {
+      "entropy": 6.221994352340698,
+      "epoch": 1.048053024026512,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004993676662807345,
+      "loss": 6.047,
+      "mean_token_accuracy": 0.12884460240602494,
+      "num_tokens": 2307230.0,
+      "step": 1265
+    },
+    {
+      "entropy": 6.183428144454956,
+      "epoch": 1.0521955260977631,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004993434991922443,
+      "loss": 6.1317,
+      "mean_token_accuracy": 0.12460145726799965,
+      "num_tokens": 2316306.0,
+      "step": 1270
+    },
+    {
+      "entropy": 6.22090425491333,
+      "epoch": 1.056338028169014,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004993188795784002,
+      "loss": 6.0531,
+      "mean_token_accuracy": 0.1241947129368782,
+      "num_tokens": 2325672.0,
+      "step": 1275
+    },
+    {
+      "entropy": 6.1453857421875,
+      "epoch": 1.0604805302402651,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004992938074888628,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.1274007849395275,
+      "num_tokens": 2335251.0,
+      "step": 1280
+    },
+    {
+      "entropy": 6.180039167404175,
+      "epoch": 1.0646230323115162,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004992682829742052,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.1308726042509079,
+      "num_tokens": 2344054.0,
+      "step": 1285
+    },
+    {
+      "entropy": 6.086296463012696,
+      "epoch": 1.0687655343827671,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004992423060859132,
+      "loss": 6.0236,
+      "mean_token_accuracy": 0.127706591039896,
+      "num_tokens": 2353493.0,
+      "step": 1290
+    },
+    {
+      "entropy": 6.223158740997315,
+      "epoch": 1.0729080364540182,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004992158768763849,
+      "loss": 6.1321,
+      "mean_token_accuracy": 0.12850543335080147,
+      "num_tokens": 2362687.0,
+      "step": 1295
+    },
+    {
+      "entropy": 6.2506636619567875,
+      "epoch": 1.0770505385252693,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004991889953989308,
+      "loss": 6.0965,
+      "mean_token_accuracy": 0.12563316524028778,
+      "num_tokens": 2372325.0,
+      "step": 1300
+    },
+    {
+      "entropy": 6.173602199554443,
+      "epoch": 1.0811930405965202,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004991616617077741,
+      "loss": 6.12,
+      "mean_token_accuracy": 0.1287991665303707,
+      "num_tokens": 2381987.0,
+      "step": 1305
+    },
+    {
+      "entropy": 6.307486963272095,
+      "epoch": 1.0853355426677713,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004991338758580496,
+      "loss": 6.0234,
+      "mean_token_accuracy": 0.13178783878684044,
+      "num_tokens": 2390901.0,
+      "step": 1310
+    },
+    {
+      "entropy": 6.034789133071899,
+      "epoch": 1.0894780447390224,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004991056379058045,
+      "loss": 6.0813,
+      "mean_token_accuracy": 0.12450421676039695,
+      "num_tokens": 2400756.0,
+      "step": 1315
+    },
+    {
+      "entropy": 6.188017988204956,
+      "epoch": 1.0936205468102733,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004990769479079976,
+      "loss": 5.9232,
+      "mean_token_accuracy": 0.12984196096658707,
+      "num_tokens": 2409526.0,
+      "step": 1320
+    },
+    {
+      "entropy": 6.086554956436157,
+      "epoch": 1.0977630488815244,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004990478059225003,
+      "loss": 6.0931,
+      "mean_token_accuracy": 0.12972966134548186,
+      "num_tokens": 2419583.0,
+      "step": 1325
+    },
+    {
+      "entropy": 6.2457873821258545,
+      "epoch": 1.1019055509527755,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004990182120080945,
+      "loss": 6.0338,
+      "mean_token_accuracy": 0.12990806251764297,
+      "num_tokens": 2429439.0,
+      "step": 1330
+    },
+    {
+      "entropy": 6.078778219223023,
+      "epoch": 1.1060480530240264,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004989881662244748,
+      "loss": 6.0416,
+      "mean_token_accuracy": 0.12380676046013832,
+      "num_tokens": 2438467.0,
+      "step": 1335
+    },
+    {
+      "entropy": 6.138932418823242,
+      "epoch": 1.1101905550952775,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004989576686322468,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.1332716926932335,
+      "num_tokens": 2446619.0,
+      "step": 1340
+    },
+    {
+      "entropy": 6.1281578540802,
+      "epoch": 1.1143330571665286,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004989267192929272,
+      "loss": 6.0379,
+      "mean_token_accuracy": 0.12955363765358924,
+      "num_tokens": 2454998.0,
+      "step": 1345
+    },
+    {
+      "entropy": 6.09554443359375,
+      "epoch": 1.1184755592377795,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004988953182689445,
+      "loss": 6.0072,
+      "mean_token_accuracy": 0.13532012328505516,
+      "num_tokens": 2463497.0,
+      "step": 1350
+    },
+    {
+      "entropy": 6.134703922271728,
+      "epoch": 1.1226180613090306,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004988634656236378,
+      "loss": 5.9216,
+      "mean_token_accuracy": 0.13609320148825646,
+      "num_tokens": 2471763.0,
+      "step": 1355
+    },
+    {
+      "entropy": 6.145527791976929,
+      "epoch": 1.1267605633802817,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004988311614212576,
+      "loss": 6.0016,
+      "mean_token_accuracy": 0.1402701161801815,
+      "num_tokens": 2479949.0,
+      "step": 1360
+    },
+    {
+      "entropy": 6.116470623016357,
+      "epoch": 1.1309030654515326,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004987984057269648,
+      "loss": 6.0539,
+      "mean_token_accuracy": 0.13444141745567323,
+      "num_tokens": 2489097.0,
+      "step": 1365
+    },
+    {
+      "entropy": 5.972180604934692,
+      "epoch": 1.1350455675227837,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004987651986068311,
+      "loss": 5.8781,
+      "mean_token_accuracy": 0.13601028621196748,
+      "num_tokens": 2497625.0,
+      "step": 1370
+    },
+    {
+      "entropy": 6.143597984313965,
+      "epoch": 1.1391880695940348,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004987315401278394,
+      "loss": 6.1252,
+      "mean_token_accuracy": 0.1272761717438698,
+      "num_tokens": 2507107.0,
+      "step": 1375
+    },
+    {
+      "entropy": 6.286170959472656,
+      "epoch": 1.143330571665286,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004986974303578819,
+      "loss": 6.1408,
+      "mean_token_accuracy": 0.12348597794771195,
+      "num_tokens": 2516629.0,
+      "step": 1380
+    },
+    {
+      "entropy": 6.077923250198364,
+      "epoch": 1.1474730737365368,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004986628693657621,
+      "loss": 6.021,
+      "mean_token_accuracy": 0.1280151717364788,
+      "num_tokens": 2525924.0,
+      "step": 1385
+    },
+    {
+      "entropy": 6.229060649871826,
+      "epoch": 1.151615575807788,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004986278572211933,
+      "loss": 6.1723,
+      "mean_token_accuracy": 0.1280426375567913,
+      "num_tokens": 2535586.0,
+      "step": 1390
+    },
+    {
+      "entropy": 6.189875984191895,
+      "epoch": 1.1557580778790388,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004985923939947987,
+      "loss": 6.2595,
+      "mean_token_accuracy": 0.1247698113322258,
+      "num_tokens": 2546685.0,
+      "step": 1395
+    },
+    {
+      "entropy": 6.148470640182495,
+      "epoch": 1.15990057995029,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004985564797581115,
+      "loss": 5.9681,
+      "mean_token_accuracy": 0.12971177995204924,
+      "num_tokens": 2556873.0,
+      "step": 1400
+    },
+    {
+      "entropy": 6.143459701538086,
+      "epoch": 1.164043082021541,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004985201145835747,
+      "loss": 5.9836,
+      "mean_token_accuracy": 0.13127154856920242,
+      "num_tokens": 2565222.0,
+      "step": 1405
+    },
+    {
+      "entropy": 6.031957960128784,
+      "epoch": 1.1681855840927922,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.000498483298544541,
+      "loss": 5.9875,
+      "mean_token_accuracy": 0.13211632743477822,
+      "num_tokens": 2575467.0,
+      "step": 1410
+    },
+    {
+      "entropy": 6.136318731307983,
+      "epoch": 1.172328086164043,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000498446031715272,
+      "loss": 6.0125,
+      "mean_token_accuracy": 0.13508019223809242,
+      "num_tokens": 2583963.0,
+      "step": 1415
+    },
+    {
+      "entropy": 6.133963680267334,
+      "epoch": 1.1764705882352942,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004984083141709391,
+      "loss": 6.042,
+      "mean_token_accuracy": 0.13524071872234344,
+      "num_tokens": 2593350.0,
+      "step": 1420
+    },
+    {
+      "entropy": 5.975436115264893,
+      "epoch": 1.180613090306545,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000498370145987623,
+      "loss": 5.9652,
+      "mean_token_accuracy": 0.13682079091668128,
+      "num_tokens": 2602191.0,
+      "step": 1425
+    },
+    {
+      "entropy": 6.170718050003051,
+      "epoch": 1.1847555923777962,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004983315272423127,
+      "loss": 6.0999,
+      "mean_token_accuracy": 0.1291058838367462,
+      "num_tokens": 2613590.0,
+      "step": 1430
+    },
+    {
+      "entropy": 6.049332237243652,
+      "epoch": 1.1888980944490473,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004982924580129066,
+      "loss": 5.8895,
+      "mean_token_accuracy": 0.1340464949607849,
+      "num_tokens": 2622072.0,
+      "step": 1435
+    },
+    {
+      "entropy": 6.093293142318726,
+      "epoch": 1.1930405965202984,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004982529383782116,
+      "loss": 6.1012,
+      "mean_token_accuracy": 0.13022035285830497,
+      "num_tokens": 2630904.0,
+      "step": 1440
+    },
+    {
+      "entropy": 6.189996242523193,
+      "epoch": 1.1971830985915493,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004982129684179432,
+      "loss": 6.0594,
+      "mean_token_accuracy": 0.13088259026408194,
+      "num_tokens": 2639925.0,
+      "step": 1445
+    },
+    {
+      "entropy": 6.1187131881713865,
+      "epoch": 1.2013256006628004,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004981725482127251,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.13439981341362,
+      "num_tokens": 2649397.0,
+      "step": 1450
+    },
+    {
+      "entropy": 6.16315655708313,
+      "epoch": 1.2054681027340513,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004981316778440892,
+      "loss": 6.081,
+      "mean_token_accuracy": 0.13515593931078912,
+      "num_tokens": 2658877.0,
+      "step": 1455
+    },
+    {
+      "entropy": 6.063838720321655,
+      "epoch": 1.2096106048053024,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004980903573944756,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13121431767940522,
+      "num_tokens": 2668518.0,
+      "step": 1460
+    },
+    {
+      "entropy": 6.059180212020874,
+      "epoch": 1.2137531068765535,
+      "grad_norm": 1.0078125,
+      "learning_rate": 0.0004980485869472322,
+      "loss": 6.1148,
+      "mean_token_accuracy": 0.12996160089969636,
+      "num_tokens": 2677459.0,
+      "step": 1465
+    },
+    {
+      "entropy": 6.223527908325195,
+      "epoch": 1.2178956089478046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004980063665866143,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12482839822769165,
+      "num_tokens": 2686668.0,
+      "step": 1470
+    },
+    {
+      "entropy": 5.935272264480591,
+      "epoch": 1.2220381110190555,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004979636963977853,
+      "loss": 5.8825,
+      "mean_token_accuracy": 0.1352998949587345,
+      "num_tokens": 2695545.0,
+      "step": 1475
+    },
+    {
+      "entropy": 6.066101598739624,
+      "epoch": 1.2261806130903066,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004979205764668156,
+      "loss": 6.0569,
+      "mean_token_accuracy": 0.13228241056203843,
+      "num_tokens": 2705514.0,
+      "step": 1480
+    },
+    {
+      "entropy": 6.138315343856812,
+      "epoch": 1.2303231151615575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004978770068806825,
+      "loss": 5.9599,
+      "mean_token_accuracy": 0.13136665150523186,
+      "num_tokens": 2714373.0,
+      "step": 1485
+    },
+    {
+      "entropy": 6.061770391464234,
+      "epoch": 1.2344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.000497832987727271,
+      "loss": 6.0715,
+      "mean_token_accuracy": 0.1264137916266918,
+      "num_tokens": 2723887.0,
+      "step": 1490
+    },
+    {
+      "entropy": 6.061756038665772,
+      "epoch": 1.2386081193040597,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004977885190953724,
+      "loss": 5.956,
+      "mean_token_accuracy": 0.13353569880127908,
+      "num_tokens": 2733591.0,
+      "step": 1495
+    },
+    {
+      "entropy": 6.104292392730713,
+      "epoch": 1.2427506213753108,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004977436010746846,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.13720986992120743,
+      "num_tokens": 2741638.0,
+      "step": 1500
+    },
+    {
+      "epoch": 1.2427506213753108,
+      "eval_entropy": 6.029743814773397,
+      "eval_loss": 6.2611613273620605,
+      "eval_mean_token_accuracy": 0.12890694399219332,
+      "eval_num_tokens": 2741638.0,
+      "eval_runtime": 2.9518,
+      "eval_samples_per_second": 1269.399,
+      "eval_steps_per_second": 158.887,
+      "step": 1500
+    },
+    {
+      "entropy": 6.078821802139283,
+      "epoch": 1.2468931234465617,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004976982337558124,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13084649220108985,
+      "num_tokens": 2749711.0,
+      "step": 1505
+    },
+    {
+      "entropy": 6.094208097457885,
+      "epoch": 1.2510356255178128,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004976524172302665,
+      "loss": 6.121,
+      "mean_token_accuracy": 0.13192041367292404,
+      "num_tokens": 2758121.0,
+      "step": 1510
+    },
+    {
+      "entropy": 6.159745693206787,
+      "epoch": 1.2551781275890637,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004976061515904641,
+      "loss": 6.1181,
+      "mean_token_accuracy": 0.12667254582047463,
+      "num_tokens": 2766764.0,
+      "step": 1515
+    },
+    {
+      "entropy": 6.116680526733399,
+      "epoch": 1.2593206296603148,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004975594369297277,
+      "loss": 6.0557,
+      "mean_token_accuracy": 0.1348518520593643,
+      "num_tokens": 2775561.0,
+      "step": 1520
+    },
+    {
+      "entropy": 6.08063235282898,
+      "epoch": 1.2634631317315659,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004975122733422861,
+      "loss": 6.0201,
+      "mean_token_accuracy": 0.13085112273693084,
+      "num_tokens": 2784691.0,
+      "step": 1525
+    },
+    {
+      "entropy": 6.129113435745239,
+      "epoch": 1.267605633802817,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004974646609232732,
+      "loss": 5.9816,
+      "mean_token_accuracy": 0.13641836866736412,
+      "num_tokens": 2793893.0,
+      "step": 1530
+    },
+    {
+      "entropy": 6.108260202407837,
+      "epoch": 1.2717481358740679,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004974165997687288,
+      "loss": 6.0751,
+      "mean_token_accuracy": 0.13353196606040002,
+      "num_tokens": 2804479.0,
+      "step": 1535
+    },
+    {
+      "entropy": 6.16022138595581,
+      "epoch": 1.275890637945319,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004973680899755972,
+      "loss": 6.107,
+      "mean_token_accuracy": 0.1326654002070427,
+      "num_tokens": 2813966.0,
+      "step": 1540
+    },
+    {
+      "entropy": 6.007886743545532,
+      "epoch": 1.2800331400165699,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000497319131641728,
+      "loss": 5.9326,
+      "mean_token_accuracy": 0.13846119418740271,
+      "num_tokens": 2822328.0,
+      "step": 1545
+    },
+    {
+      "entropy": 6.003260755538941,
+      "epoch": 1.284175642087821,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004972697248658755,
+      "loss": 5.8899,
+      "mean_token_accuracy": 0.14066707715392113,
+      "num_tokens": 2829845.0,
+      "step": 1550
+    },
+    {
+      "entropy": 5.948832178115845,
+      "epoch": 1.288318144159072,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004972198697476987,
+      "loss": 5.8783,
+      "mean_token_accuracy": 0.13914238885045052,
+      "num_tokens": 2839040.0,
+      "step": 1555
+    },
+    {
+      "entropy": 5.961882209777832,
+      "epoch": 1.2924606462303232,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004971695663877607,
+      "loss": 5.9665,
+      "mean_token_accuracy": 0.13561231270432472,
+      "num_tokens": 2848574.0,
+      "step": 1560
+    },
+    {
+      "entropy": 6.077086877822876,
+      "epoch": 1.296603148301574,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004971188148875289,
+      "loss": 5.9421,
+      "mean_token_accuracy": 0.14444561377167703,
+      "num_tokens": 2856812.0,
+      "step": 1565
+    },
+    {
+      "entropy": 6.051652336120606,
+      "epoch": 1.3007456503728252,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004970676153493748,
+      "loss": 6.0283,
+      "mean_token_accuracy": 0.13189572617411613,
+      "num_tokens": 2866001.0,
+      "step": 1570
+    },
+    {
+      "entropy": 6.1068840503692625,
+      "epoch": 1.3048881524440763,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004970159678765731,
+      "loss": 6.0164,
+      "mean_token_accuracy": 0.13239546120166779,
+      "num_tokens": 2875181.0,
+      "step": 1575
+    },
+    {
+      "entropy": 6.049808597564697,
+      "epoch": 1.3090306545153272,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004969638725733028,
+      "loss": 5.9587,
+      "mean_token_accuracy": 0.13397156223654746,
+      "num_tokens": 2885103.0,
+      "step": 1580
+    },
+    {
+      "entropy": 5.92131872177124,
+      "epoch": 1.3131731565865783,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004969113295446455,
+      "loss": 5.9116,
+      "mean_token_accuracy": 0.1383065924048424,
+      "num_tokens": 2894055.0,
+      "step": 1585
+    },
+    {
+      "entropy": 6.116864538192749,
+      "epoch": 1.3173156586578294,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004968583388965863,
+      "loss": 5.9846,
+      "mean_token_accuracy": 0.133075200766325,
+      "num_tokens": 2903391.0,
+      "step": 1590
+    },
+    {
+      "entropy": 6.006745624542236,
+      "epoch": 1.3214581607290803,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004968049007360132,
+      "loss": 5.9854,
+      "mean_token_accuracy": 0.13297903537750244,
+      "num_tokens": 2911760.0,
+      "step": 1595
+    },
+    {
+      "entropy": 5.926331329345703,
+      "epoch": 1.3256006628003314,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004967510151707169,
+      "loss": 5.9369,
+      "mean_token_accuracy": 0.13469143435359002,
+      "num_tokens": 2920589.0,
+      "step": 1600
+    },
+    {
+      "entropy": 6.15295524597168,
+      "epoch": 1.3297431648715825,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004966966823093903,
+      "loss": 6.0746,
+      "mean_token_accuracy": 0.1302391268312931,
+      "num_tokens": 2929635.0,
+      "step": 1605
+    },
+    {
+      "entropy": 5.986531114578247,
+      "epoch": 1.3338856669428334,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004966419022616287,
+      "loss": 5.9349,
+      "mean_token_accuracy": 0.13593596145510672,
+      "num_tokens": 2938778.0,
+      "step": 1610
+    },
+    {
+      "entropy": 6.039755535125733,
+      "epoch": 1.3380281690140845,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004965866751379296,
+      "loss": 6.0503,
+      "mean_token_accuracy": 0.13109695687890052,
+      "num_tokens": 2947836.0,
+      "step": 1615
+    },
+    {
+      "entropy": 6.133180904388428,
+      "epoch": 1.3421706710853356,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004965310010496922,
+      "loss": 6.0032,
+      "mean_token_accuracy": 0.1280514419078827,
+      "num_tokens": 2957028.0,
+      "step": 1620
+    },
+    {
+      "entropy": 6.026159048080444,
+      "epoch": 1.3463131731565865,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004964748801092168,
+      "loss": 5.9571,
+      "mean_token_accuracy": 0.1338861681520939,
+      "num_tokens": 2966088.0,
+      "step": 1625
+    },
+    {
+      "entropy": 6.078959226608276,
+      "epoch": 1.3504556752278376,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004964183124297059,
+      "loss": 6.0438,
+      "mean_token_accuracy": 0.13178688064217567,
+      "num_tokens": 2975271.0,
+      "step": 1630
+    },
+    {
+      "entropy": 5.992210865020752,
+      "epoch": 1.3545981772990887,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004963612981252625,
+      "loss": 6.0524,
+      "mean_token_accuracy": 0.1321226365864277,
+      "num_tokens": 2983799.0,
+      "step": 1635
+    },
+    {
+      "entropy": 6.056794929504394,
+      "epoch": 1.3587406793703396,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004963038373108908,
+      "loss": 6.0179,
+      "mean_token_accuracy": 0.13609340488910676,
+      "num_tokens": 2992675.0,
+      "step": 1640
+    },
+    {
+      "entropy": 6.155933427810669,
+      "epoch": 1.3628831814415907,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004962459301024954,
+      "loss": 6.0838,
+      "mean_token_accuracy": 0.13211635649204254,
+      "num_tokens": 3002483.0,
+      "step": 1645
+    },
+    {
+      "entropy": 6.027872896194458,
+      "epoch": 1.3670256835128418,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004961875766168816,
+      "loss": 5.985,
+      "mean_token_accuracy": 0.13883458971977233,
+      "num_tokens": 3010611.0,
+      "step": 1650
+    },
+    {
+      "entropy": 6.057289028167725,
+      "epoch": 1.371168185584093,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004961287769717547,
+      "loss": 5.9397,
+      "mean_token_accuracy": 0.13197456523776055,
+      "num_tokens": 3019928.0,
+      "step": 1655
+    },
+    {
+      "entropy": 5.9325989246368405,
+      "epoch": 1.3753106876553438,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004960695312857199,
+      "loss": 5.9279,
+      "mean_token_accuracy": 0.13408055454492568,
+      "num_tokens": 3029003.0,
+      "step": 1660
+    },
+    {
+      "entropy": 6.0389604568481445,
+      "epoch": 1.379453189726595,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004960098396782824,
+      "loss": 5.9464,
+      "mean_token_accuracy": 0.1375861033797264,
+      "num_tokens": 3038049.0,
+      "step": 1665
+    },
+    {
+      "entropy": 5.969662141799927,
+      "epoch": 1.3835956917978458,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004959497022698466,
+      "loss": 5.9515,
+      "mean_token_accuracy": 0.14408120438456534,
+      "num_tokens": 3046674.0,
+      "step": 1670
+    },
+    {
+      "entropy": 6.0561059474945065,
+      "epoch": 1.387738193869097,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004958891191817163,
+      "loss": 5.9927,
+      "mean_token_accuracy": 0.12801324650645257,
+      "num_tokens": 3056459.0,
+      "step": 1675
+    },
+    {
+      "entropy": 6.032327270507812,
+      "epoch": 1.391880695940348,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000495828090536094,
+      "loss": 5.9845,
+      "mean_token_accuracy": 0.13036760538816453,
+      "num_tokens": 3066294.0,
+      "step": 1680
+    },
+    {
+      "entropy": 6.0512574195861815,
+      "epoch": 1.3960231980115991,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004957666164560815,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13139644563198088,
+      "num_tokens": 3075420.0,
+      "step": 1685
+    },
+    {
+      "entropy": 6.063203239440918,
+      "epoch": 1.40016570008285,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004957046970656784,
+      "loss": 6.0385,
+      "mean_token_accuracy": 0.13581736162304878,
+      "num_tokens": 3084373.0,
+      "step": 1690
+    },
+    {
+      "entropy": 6.00097541809082,
+      "epoch": 1.4043082021541011,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004956423324897831,
+      "loss": 6.0257,
+      "mean_token_accuracy": 0.13937310948967935,
+      "num_tokens": 3094212.0,
+      "step": 1695
+    },
+    {
+      "entropy": 6.043115425109863,
+      "epoch": 1.408450704225352,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004955795228541917,
+      "loss": 5.9589,
+      "mean_token_accuracy": 0.14452596232295037,
+      "num_tokens": 3102769.0,
+      "step": 1700
+    },
+    {
+      "entropy": 6.040110731124878,
+      "epoch": 1.4125932062966031,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000495516268285598,
+      "loss": 5.9805,
+      "mean_token_accuracy": 0.13440805301070213,
+      "num_tokens": 3111465.0,
+      "step": 1705
+    },
+    {
+      "entropy": 5.978239822387695,
+      "epoch": 1.4167357083678542,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004954525689115935,
+      "loss": 5.9177,
+      "mean_token_accuracy": 0.13326097056269645,
+      "num_tokens": 3121106.0,
+      "step": 1710
+    },
+    {
+      "entropy": 6.007881164550781,
+      "epoch": 1.4208782104391053,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004953884248606669,
+      "loss": 5.945,
+      "mean_token_accuracy": 0.14831372052431108,
+      "num_tokens": 3130662.0,
+      "step": 1715
+    },
+    {
+      "entropy": 5.97642674446106,
+      "epoch": 1.4250207125103562,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004953238362622034,
+      "loss": 5.9812,
+      "mean_token_accuracy": 0.13328263983130456,
+      "num_tokens": 3139538.0,
+      "step": 1720
+    },
+    {
+      "entropy": 6.0256367206573485,
+      "epoch": 1.4291632145816073,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004952588032464855,
+      "loss": 6.0298,
+      "mean_token_accuracy": 0.12707214802503586,
+      "num_tokens": 3148552.0,
+      "step": 1725
+    },
+    {
+      "entropy": 5.996851205825806,
+      "epoch": 1.4333057166528582,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004951933259446919,
+      "loss": 5.9365,
+      "mean_token_accuracy": 0.14197203740477563,
+      "num_tokens": 3156549.0,
+      "step": 1730
+    },
+    {
+      "entropy": 6.114988136291504,
+      "epoch": 1.4374482187241093,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004951274044888975,
+      "loss": 6.1006,
+      "mean_token_accuracy": 0.12147112190723419,
+      "num_tokens": 3166821.0,
+      "step": 1735
+    },
+    {
+      "entropy": 5.960144329071045,
+      "epoch": 1.4415907207953604,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004950610390120731,
+      "loss": 5.9848,
+      "mean_token_accuracy": 0.135729306191206,
+      "num_tokens": 3174962.0,
+      "step": 1740
+    },
+    {
+      "entropy": 6.087535095214844,
+      "epoch": 1.4457332228666115,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000494994229648085,
+      "loss": 5.8903,
+      "mean_token_accuracy": 0.13537728488445283,
+      "num_tokens": 3184027.0,
+      "step": 1745
+    },
+    {
+      "entropy": 5.957475805282593,
+      "epoch": 1.4498757249378624,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004949269765316948,
+      "loss": 6.0321,
+      "mean_token_accuracy": 0.13071285635232927,
+      "num_tokens": 3193186.0,
+      "step": 1750
+    },
+    {
+      "entropy": 6.171153354644775,
+      "epoch": 1.4540182270091135,
+      "grad_norm": 2.140625,
+      "learning_rate": 0.0004948592797985599,
+      "loss": 6.0525,
+      "mean_token_accuracy": 0.13555259853601456,
+      "num_tokens": 3202676.0,
+      "step": 1755
+    },
+    {
+      "entropy": 6.123908805847168,
+      "epoch": 1.4581607290803644,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947911395852317,
+      "loss": 6.1524,
+      "mean_token_accuracy": 0.1352410912513733,
+      "num_tokens": 3211950.0,
+      "step": 1760
+    },
+    {
+      "entropy": 6.120599699020386,
+      "epoch": 1.4623032311516155,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947225560291565,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12961760386824608,
+      "num_tokens": 3221135.0,
+      "step": 1765
+    },
+    {
+      "entropy": 5.962483358383179,
+      "epoch": 1.4664457332228666,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004946535292686746,
+      "loss": 5.8975,
+      "mean_token_accuracy": 0.13825839310884475,
+      "num_tokens": 3230174.0,
+      "step": 1770
+    },
+    {
+      "entropy": 5.979943370819091,
+      "epoch": 1.4705882352941178,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004945840594430209,
+      "loss": 5.8871,
+      "mean_token_accuracy": 0.1381668671965599,
+      "num_tokens": 3238898.0,
+      "step": 1775
+    },
+    {
+      "entropy": 5.973515844345092,
+      "epoch": 1.4747307373653686,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004945141466923235,
+      "loss": 5.9292,
+      "mean_token_accuracy": 0.14479121565818787,
+      "num_tokens": 3247550.0,
+      "step": 1780
+    },
+    {
+      "entropy": 6.113377714157105,
+      "epoch": 1.4788732394366197,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004944437911576041,
+      "loss": 6.0779,
+      "mean_token_accuracy": 0.12900342419743538,
+      "num_tokens": 3256810.0,
+      "step": 1785
+    },
+    {
+      "entropy": 5.9020613670349125,
+      "epoch": 1.4830157415078706,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004943729929807772,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.139550269395113,
+      "num_tokens": 3265886.0,
+      "step": 1790
+    },
+    {
+      "entropy": 6.06021089553833,
+      "epoch": 1.4871582435791217,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004943017523046507,
+      "loss": 5.9273,
+      "mean_token_accuracy": 0.137468421459198,
+      "num_tokens": 3274522.0,
+      "step": 1795
+    },
+    {
+      "entropy": 6.027210426330567,
+      "epoch": 1.4913007456503728,
+      "grad_norm": 1.25,
+      "learning_rate": 0.000494230069272925,
+      "loss": 6.0486,
+      "mean_token_accuracy": 0.13558472618460654,
+      "num_tokens": 3283388.0,
+      "step": 1800
+    },
+    {
+      "entropy": 5.989331531524658,
+      "epoch": 1.495443247721624,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004941579440301923,
+      "loss": 5.9224,
+      "mean_token_accuracy": 0.1305856943130493,
+      "num_tokens": 3291887.0,
+      "step": 1805
+    },
+    {
+      "entropy": 5.96136965751648,
+      "epoch": 1.4995857497928748,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940853767219372,
+      "loss": 5.9685,
+      "mean_token_accuracy": 0.13564062863588333,
+      "num_tokens": 3300674.0,
+      "step": 1810
+    },
+    {
+      "entropy": 5.9364429950714115,
+      "epoch": 1.503728251864126,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940123674945359,
+      "loss": 5.8311,
+      "mean_token_accuracy": 0.13808463513851166,
+      "num_tokens": 3309745.0,
+      "step": 1815
+    },
+    {
+      "entropy": 6.076629638671875,
+      "epoch": 1.5078707539353768,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004939389164952561,
+      "loss": 5.9722,
+      "mean_token_accuracy": 0.1378110609948635,
+      "num_tokens": 3318888.0,
+      "step": 1820
+    },
+    {
+      "entropy": 5.8970863819122314,
+      "epoch": 1.512013256006628,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004938650238722564,
+      "loss": 5.9296,
+      "mean_token_accuracy": 0.13823849260807036,
+      "num_tokens": 3328274.0,
+      "step": 1825
+    },
+    {
+      "entropy": 6.003948831558228,
+      "epoch": 1.516155758077879,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004937906897745861,
+      "loss": 5.9387,
+      "mean_token_accuracy": 0.1468382939696312,
+      "num_tokens": 3337579.0,
+      "step": 1830
+    },
+    {
+      "entropy": 6.045965003967285,
+      "epoch": 1.5202982601491302,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004937159143521856,
+      "loss": 5.9081,
+      "mean_token_accuracy": 0.14555162489414214,
+      "num_tokens": 3346262.0,
+      "step": 1835
+    },
+    {
+      "entropy": 5.972390079498291,
+      "epoch": 1.5244407622203813,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004936406977558847,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.13030771315097808,
+      "num_tokens": 3354833.0,
+      "step": 1840
+    },
+    {
+      "entropy": 6.051387977600098,
+      "epoch": 1.5285832642916322,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004935650401374039,
+      "loss": 6.0906,
+      "mean_token_accuracy": 0.14119647368788718,
+      "num_tokens": 3364314.0,
+      "step": 1845
+    },
+    {
+      "entropy": 6.046140813827515,
+      "epoch": 1.532725766362883,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004934889416493524,
+      "loss": 5.9157,
+      "mean_token_accuracy": 0.13524662256240844,
+      "num_tokens": 3373648.0,
+      "step": 1850
+    },
+    {
+      "entropy": 5.863892507553101,
+      "epoch": 1.5368682684341342,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004934124024452295,
+      "loss": 5.7869,
+      "mean_token_accuracy": 0.1471114367246628,
+      "num_tokens": 3382919.0,
+      "step": 1855
+    },
+    {
+      "entropy": 5.888700532913208,
+      "epoch": 1.5410107705053853,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004933354226794232,
+      "loss": 5.9383,
+      "mean_token_accuracy": 0.1432707317173481,
+      "num_tokens": 3391814.0,
+      "step": 1860
+    },
+    {
+      "entropy": 6.080925798416137,
+      "epoch": 1.5451532725766364,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004932580025072098,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.13580586463212968,
+      "num_tokens": 3400392.0,
+      "step": 1865
+    },
+    {
+      "entropy": 5.996384525299073,
+      "epoch": 1.5492957746478875,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004931801420847545,
+      "loss": 6.036,
+      "mean_token_accuracy": 0.13089759424328803,
+      "num_tokens": 3410430.0,
+      "step": 1870
+    },
+    {
+      "entropy": 5.932257795333863,
+      "epoch": 1.5534382767191384,
+      "grad_norm": 0.9609375,
+      "learning_rate": 0.0004931018415691102,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.13694921880960464,
+      "num_tokens": 3420654.0,
+      "step": 1875
+    },
+    {
+      "entropy": 5.951343011856079,
+      "epoch": 1.5575807787903893,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004930231011182176,
+      "loss": 5.9986,
+      "mean_token_accuracy": 0.13937177062034606,
+      "num_tokens": 3430514.0,
+      "step": 1880
+    },
+    {
+      "entropy": 6.071512508392334,
+      "epoch": 1.5617232808616404,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004929439208909048,
+      "loss": 5.9331,
+      "mean_token_accuracy": 0.1375361390411854,
+      "num_tokens": 3439551.0,
+      "step": 1885
+    },
+    {
+      "entropy": 5.902947330474854,
+      "epoch": 1.5658657829328915,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004928643010468869,
+      "loss": 5.8911,
+      "mean_token_accuracy": 0.13622887432575226,
+      "num_tokens": 3448160.0,
+      "step": 1890
+    },
+    {
+      "entropy": 5.993059539794922,
+      "epoch": 1.5700082850041426,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004927842417467659,
+      "loss": 5.9517,
+      "mean_token_accuracy": 0.14548188596963882,
+      "num_tokens": 3457296.0,
+      "step": 1895
+    },
+    {
+      "entropy": 6.027637386322022,
+      "epoch": 1.5741507870753937,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004927037431520302,
+      "loss": 5.9073,
+      "mean_token_accuracy": 0.14102519080042838,
+      "num_tokens": 3466108.0,
+      "step": 1900
+    },
+    {
+      "entropy": 5.975209665298462,
+      "epoch": 1.5782932891466446,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004926228054250541,
+      "loss": 5.9941,
+      "mean_token_accuracy": 0.14009249955415726,
+      "num_tokens": 3475336.0,
+      "step": 1905
+    },
+    {
+      "entropy": 6.073916673660278,
+      "epoch": 1.5824357912178955,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004925414287290979,
+      "loss": 5.9668,
+      "mean_token_accuracy": 0.13723743334412575,
+      "num_tokens": 3483963.0,
+      "step": 1910
+    },
+    {
+      "entropy": 5.848618030548096,
+      "epoch": 1.5865782932891466,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004924596132283075,
+      "loss": 5.8765,
+      "mean_token_accuracy": 0.14485997408628465,
+      "num_tokens": 3492947.0,
+      "step": 1915
+    },
+    {
+      "entropy": 5.966853284835816,
+      "epoch": 1.5907207953603977,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004923773590877135,
+      "loss": 5.9651,
+      "mean_token_accuracy": 0.13334692791104316,
+      "num_tokens": 3501877.0,
+      "step": 1920
+    },
+    {
+      "entropy": 6.042904996871949,
+      "epoch": 1.5948632974316488,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004922946664732314,
+      "loss": 6.0304,
+      "mean_token_accuracy": 0.13204361274838447,
+      "num_tokens": 3510610.0,
+      "step": 1925
+    },
+    {
+      "entropy": 6.0583656311035154,
+      "epoch": 1.5990057995029,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004922115355516615,
+      "loss": 5.9841,
+      "mean_token_accuracy": 0.13304307833313941,
+      "num_tokens": 3519829.0,
+      "step": 1930
+    },
+    {
+      "entropy": 6.015839862823486,
+      "epoch": 1.6031483015741508,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004921279664906877,
+      "loss": 5.9661,
+      "mean_token_accuracy": 0.13071200698614122,
+      "num_tokens": 3529408.0,
+      "step": 1935
+    },
+    {
+      "entropy": 5.924501991271972,
+      "epoch": 1.6072908036454017,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004920439594588781,
+      "loss": 5.8955,
+      "mean_token_accuracy": 0.14675913602113724,
+      "num_tokens": 3538068.0,
+      "step": 1940
+    },
+    {
+      "entropy": 6.051935148239136,
+      "epoch": 1.6114333057166528,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000491959514625684,
+      "loss": 6.0177,
+      "mean_token_accuracy": 0.13845598921179772,
+      "num_tokens": 3547302.0,
+      "step": 1945
+    },
+    {
+      "entropy": 5.956210565567017,
+      "epoch": 1.6155758077879039,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00049187463216144,
+      "loss": 5.9024,
+      "mean_token_accuracy": 0.145584287494421,
+      "num_tokens": 3556087.0,
+      "step": 1950
+    },
+    {
+      "entropy": 6.046857452392578,
+      "epoch": 1.619718309859155,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.000491789312237363,
+      "loss": 5.9857,
+      "mean_token_accuracy": 0.13579782098531723,
+      "num_tokens": 3566235.0,
+      "step": 1955
+    },
+    {
+      "entropy": 5.983897924423218,
+      "epoch": 1.623860811930406,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004917035550255528,
+      "loss": 5.899,
+      "mean_token_accuracy": 0.14092317298054696,
+      "num_tokens": 3574762.0,
+      "step": 1960
+    },
+    {
+      "entropy": 5.904513597488403,
+      "epoch": 1.628003314001657,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000491617360698991,
+      "loss": 5.8837,
+      "mean_token_accuracy": 0.139695380628109,
+      "num_tokens": 3583359.0,
+      "step": 1965
+    },
+    {
+      "entropy": 5.920687866210938,
+      "epoch": 1.6321458160729079,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004915307294315412,
+      "loss": 5.8505,
+      "mean_token_accuracy": 0.14011457338929176,
+      "num_tokens": 3591436.0,
+      "step": 1970
+    },
+    {
+      "entropy": 5.926318550109864,
+      "epoch": 1.636288318144159,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.000491443661397948,
+      "loss": 5.9355,
+      "mean_token_accuracy": 0.13468224480748175,
+      "num_tokens": 3601054.0,
+      "step": 1975
+    },
+    {
+      "entropy": 5.974443817138672,
+      "epoch": 1.64043082021541,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004913561567738368,
+      "loss": 5.9014,
+      "mean_token_accuracy": 0.1383673779666424,
+      "num_tokens": 3610641.0,
+      "step": 1980
+    },
+    {
+      "entropy": 5.912512636184692,
+      "epoch": 1.6445733222866612,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004912682157357146,
+      "loss": 5.8447,
+      "mean_token_accuracy": 0.13975749984383584,
+      "num_tokens": 3619351.0,
+      "step": 1985
+    },
+    {
+      "entropy": 5.853101539611816,
+      "epoch": 1.6487158243579123,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004911798384609675,
+      "loss": 5.8306,
+      "mean_token_accuracy": 0.1472959376871586,
+      "num_tokens": 3627341.0,
+      "step": 1990
+    },
+    {
+      "entropy": 5.942045879364014,
+      "epoch": 1.6528583264291632,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004910910251278626,
+      "loss": 5.8918,
+      "mean_token_accuracy": 0.14801610112190247,
+      "num_tokens": 3637132.0,
+      "step": 1995
+    },
+    {
+      "entropy": 5.919465351104736,
+      "epoch": 1.6570008285004143,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004910017759155458,
+      "loss": 5.9479,
+      "mean_token_accuracy": 0.1400071859359741,
+      "num_tokens": 3646196.0,
+      "step": 2000
+    },
+    {
+      "epoch": 1.6570008285004143,
+      "eval_entropy": 5.874394122979789,
+      "eval_loss": 6.1148576736450195,
+      "eval_mean_token_accuracy": 0.1363023624046525,
+      "eval_num_tokens": 3646196.0,
+      "eval_runtime": 2.7574,
+      "eval_samples_per_second": 1358.871,
+      "eval_steps_per_second": 170.085,
+      "step": 2000
+    },
+    {
+      "entropy": 5.967284250259399,
+      "epoch": 1.6611433305716652,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004909120910040427,
+      "loss": 5.8839,
+      "mean_token_accuracy": 0.1461731344461441,
+      "num_tokens": 3654658.0,
+      "step": 2005
+    },
+    {
+      "entropy": 6.045904684066772,
+      "epoch": 1.6652858326429163,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004908219705742574,
+      "loss": 6.1605,
+      "mean_token_accuracy": 0.13489469960331918,
+      "num_tokens": 3664509.0,
+      "step": 2010
+    },
+    {
+      "entropy": 6.002130031585693,
+      "epoch": 1.6694283347141674,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004907314148079727,
+      "loss": 5.8567,
+      "mean_token_accuracy": 0.1425239197909832,
+      "num_tokens": 3672983.0,
+      "step": 2015
+    },
+    {
+      "entropy": 5.708412790298462,
+      "epoch": 1.6735708367854185,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004906404238878496,
+      "loss": 5.7221,
+      "mean_token_accuracy": 0.14639501571655272,
+      "num_tokens": 3681196.0,
+      "step": 2020
+    },
+    {
+      "entropy": 5.97982873916626,
+      "epoch": 1.6777133388566694,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004905489979974265,
+      "loss": 5.9098,
+      "mean_token_accuracy": 0.14081615954637527,
+      "num_tokens": 3690077.0,
+      "step": 2025
+    },
+    {
+      "entropy": 5.942774772644043,
+      "epoch": 1.6818558409279205,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004904571373211197,
+      "loss": 5.9906,
+      "mean_token_accuracy": 0.13563016131520272,
+      "num_tokens": 3700121.0,
+      "step": 2030
+    },
+    {
+      "entropy": 5.897730588912964,
+      "epoch": 1.6859983429991714,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000490364842044222,
+      "loss": 5.8074,
+      "mean_token_accuracy": 0.14530285224318504,
+      "num_tokens": 3709618.0,
+      "step": 2035
+    },
+    {
+      "entropy": 5.954602289199829,
+      "epoch": 1.6901408450704225,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004902721123529031,
+      "loss": 5.9869,
+      "mean_token_accuracy": 0.12953415215015412,
+      "num_tokens": 3719570.0,
+      "step": 2040
+    },
+    {
+      "entropy": 6.074023342132568,
+      "epoch": 1.6942833471416736,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000490178948434209,
+      "loss": 5.9267,
+      "mean_token_accuracy": 0.14249598532915114,
+      "num_tokens": 3729354.0,
+      "step": 2045
+    },
+    {
+      "entropy": 5.833365964889526,
+      "epoch": 1.6984258492129247,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004900853504760614,
+      "loss": 5.8409,
+      "mean_token_accuracy": 0.14450331926345825,
+      "num_tokens": 3738453.0,
+      "step": 2050
+    },
+    {
+      "entropy": 5.888468265533447,
+      "epoch": 1.7025683512841756,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004899913186672577,
+      "loss": 5.8165,
+      "mean_token_accuracy": 0.14293194860219954,
+      "num_tokens": 3747815.0,
+      "step": 2055
+    },
+    {
+      "entropy": 5.914711236953735,
+      "epoch": 1.7067108533554267,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004898968531974702,
+      "loss": 5.9249,
+      "mean_token_accuracy": 0.14642315953969956,
+      "num_tokens": 3757298.0,
+      "step": 2060
+    },
+    {
+      "entropy": 5.978992033004761,
+      "epoch": 1.7108533554266776,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004898019542572462,
+      "loss": 5.9124,
+      "mean_token_accuracy": 0.14719650894403458,
+      "num_tokens": 3765939.0,
+      "step": 2065
+    },
+    {
+      "entropy": 6.005469894409179,
+      "epoch": 1.7149958574979287,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004897066220380073,
+      "loss": 5.933,
+      "mean_token_accuracy": 0.13779435828328132,
+      "num_tokens": 3775160.0,
+      "step": 2070
+    },
+    {
+      "entropy": 5.921374797821045,
+      "epoch": 1.7191383595691798,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004896108567320489,
+      "loss": 5.831,
+      "mean_token_accuracy": 0.14186858981847764,
+      "num_tokens": 3785181.0,
+      "step": 2075
+    },
+    {
+      "entropy": 5.972924375534058,
+      "epoch": 1.723280861640431,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048951465853254,
+      "loss": 5.9444,
+      "mean_token_accuracy": 0.14323145076632499,
+      "num_tokens": 3794531.0,
+      "step": 2080
+    },
+    {
+      "entropy": 5.953138160705566,
+      "epoch": 1.7274233637116818,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004894180276335231,
+      "loss": 5.934,
+      "mean_token_accuracy": 0.1396125227212906,
+      "num_tokens": 3804602.0,
+      "step": 2085
+    },
+    {
+      "entropy": 5.9721667766571045,
+      "epoch": 1.731565865782933,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004893209642299132,
+      "loss": 5.97,
+      "mean_token_accuracy": 0.1395590640604496,
+      "num_tokens": 3813394.0,
+      "step": 2090
+    },
+    {
+      "entropy": 5.97849326133728,
+      "epoch": 1.7357083678541838,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004892234685174976,
+      "loss": 5.962,
+      "mean_token_accuracy": 0.13808128908276557,
+      "num_tokens": 3821604.0,
+      "step": 2095
+    },
+    {
+      "entropy": 5.967495775222778,
+      "epoch": 1.739850869925435,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004891255406929359,
+      "loss": 5.9564,
+      "mean_token_accuracy": 0.13652343899011612,
+      "num_tokens": 3831977.0,
+      "step": 2100
+    },
+    {
+      "entropy": 5.98737063407898,
+      "epoch": 1.743993371996686,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004890271809537595,
+      "loss": 5.9017,
+      "mean_token_accuracy": 0.1393343411386013,
+      "num_tokens": 3840684.0,
+      "step": 2105
+    },
+    {
+      "entropy": 5.870862340927124,
+      "epoch": 1.7481358740679371,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004889283894983704,
+      "loss": 5.8147,
+      "mean_token_accuracy": 0.1389534741640091,
+      "num_tokens": 3851147.0,
+      "step": 2110
+    },
+    {
+      "entropy": 6.002704238891601,
+      "epoch": 1.752278376139188,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000488829166526042,
+      "loss": 5.9838,
+      "mean_token_accuracy": 0.13991605415940284,
+      "num_tokens": 3859881.0,
+      "step": 2115
+    },
+    {
+      "entropy": 5.948231506347656,
+      "epoch": 1.7564208782104391,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004887295122369176,
+      "loss": 6.0107,
+      "mean_token_accuracy": 0.13371825441718102,
+      "num_tokens": 3870151.0,
+      "step": 2120
+    },
+    {
+      "entropy": 5.99525203704834,
+      "epoch": 1.76056338028169,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.000488629426832011,
+      "loss": 5.9313,
+      "mean_token_accuracy": 0.13850879445672035,
+      "num_tokens": 3878398.0,
+      "step": 2125
+    },
+    {
+      "entropy": 5.924004030227661,
+      "epoch": 1.7647058823529411,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004885289105132054,
+      "loss": 5.8893,
+      "mean_token_accuracy": 0.14114601090550422,
+      "num_tokens": 3888007.0,
+      "step": 2130
+    },
+    {
+      "entropy": 5.930246257781983,
+      "epoch": 1.7688483844241922,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004884279634832532,
+      "loss": 5.8728,
+      "mean_token_accuracy": 0.14278061985969542,
+      "num_tokens": 3896945.0,
+      "step": 2135
+    },
+    {
+      "entropy": 5.940092372894287,
+      "epoch": 1.7729908864954433,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004883265859457754,
+      "loss": 5.8905,
+      "mean_token_accuracy": 0.1457919418811798,
+      "num_tokens": 3906049.0,
+      "step": 2140
+    },
+    {
+      "entropy": 5.866062164306641,
+      "epoch": 1.7771333885666944,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048822477810526186,
+      "loss": 5.8422,
+      "mean_token_accuracy": 0.1388966679573059,
+      "num_tokens": 3915050.0,
+      "step": 2145
+    },
+    {
+      "entropy": 5.966696119308471,
+      "epoch": 1.7812758906379453,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00048812254016706994,
+      "loss": 5.9205,
+      "mean_token_accuracy": 0.14728582575917243,
+      "num_tokens": 3924031.0,
+      "step": 2150
+    },
+    {
+      "entropy": 5.915832757949829,
+      "epoch": 1.7854183927091962,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004880198723374247,
+      "loss": 5.9776,
+      "mean_token_accuracy": 0.14149753525853156,
+      "num_tokens": 3933756.0,
+      "step": 2155
+    },
+    {
+      "entropy": 5.959774684906006,
+      "epoch": 1.7895608947804473,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048791677482341845,
+      "loss": 5.9592,
+      "mean_token_accuracy": 0.13750381171703338,
+      "num_tokens": 3943129.0,
+      "step": 2160
+    },
+    {
+      "entropy": 5.881538438796997,
+      "epoch": 1.7937033968516984,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048781324783301016,
+      "loss": 5.7912,
+      "mean_token_accuracy": 0.14508036673069,
+      "num_tokens": 3951494.0,
+      "step": 2165
+    },
+    {
+      "entropy": 5.946735525131226,
+      "epoch": 1.7978458989229495,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048770929157502505,
+      "loss": 5.9565,
+      "mean_token_accuracy": 0.143115097284317,
+      "num_tokens": 3960588.0,
+      "step": 2170
+    },
+    {
+      "entropy": 5.9805809497833256,
+      "epoch": 1.8019884009942007,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004876049062591543,
+      "loss": 5.9226,
+      "mean_token_accuracy": 0.13506680428981782,
+      "num_tokens": 3970135.0,
+      "step": 2175
+    },
+    {
+      "entropy": 5.950060653686523,
+      "epoch": 1.8061309030654515,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048750009209595443,
+      "loss": 5.9042,
+      "mean_token_accuracy": 0.13944360390305519,
+      "num_tokens": 3979569.0,
+      "step": 2180
+    },
+    {
+      "entropy": 5.88271656036377,
+      "epoch": 1.8102734051367024,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048739484929684714,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.144245932251215,
+      "num_tokens": 3987885.0,
+      "step": 2185
+    },
+    {
+      "entropy": 5.933677864074707,
+      "epoch": 1.8144159072079535,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048728917807411856,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.13125594183802605,
+      "num_tokens": 3997726.0,
+      "step": 2190
+    },
+    {
+      "entropy": 6.008653068542481,
+      "epoch": 1.8185584092792046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004871830786409191,
+      "loss": 5.8436,
+      "mean_token_accuracy": 0.14898036047816277,
+      "num_tokens": 4006437.0,
+      "step": 2195
+    },
+    {
+      "entropy": 5.856683444976807,
+      "epoch": 1.8227009113504558,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00048707655121126296,
+      "loss": 5.8124,
+      "mean_token_accuracy": 0.14927435666322708,
+      "num_tokens": 4015326.0,
+      "step": 2200
+    },
+    {
+      "entropy": 5.924995994567871,
+      "epoch": 1.8268434134217069,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048696959600002767,
+      "loss": 5.8722,
+      "mean_token_accuracy": 0.14032577201724053,
+      "num_tokens": 4024294.0,
+      "step": 2205
+    },
+    {
+      "entropy": 5.881852293014527,
+      "epoch": 1.8309859154929577,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048686221322295347,
+      "loss": 5.9028,
+      "mean_token_accuracy": 0.14340249821543694,
+      "num_tokens": 4033341.0,
+      "step": 2210
+    },
+    {
+      "entropy": 5.951443433761597,
+      "epoch": 1.8351284175642086,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048675440309664314,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.1474481076002121,
+      "num_tokens": 4042446.0,
+      "step": 2215
+    },
+    {
+      "entropy": 5.832607173919678,
+      "epoch": 1.8392709196354597,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00048664616583856166,
+      "loss": 5.8924,
+      "mean_token_accuracy": 0.13868724405765534,
+      "num_tokens": 4051849.0,
+      "step": 2220
+    },
+    {
+      "entropy": 6.026660823822022,
+      "epoch": 1.8434134217067109,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00048653750166703516,
+      "loss": 5.9855,
+      "mean_token_accuracy": 0.1381051518023014,
+      "num_tokens": 4061075.0,
+      "step": 2225
+    },
+    {
+      "entropy": 5.976817560195923,
+      "epoch": 1.847555923777962,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004864284108012513,
+      "loss": 5.9524,
+      "mean_token_accuracy": 0.13498588278889656,
+      "num_tokens": 4071022.0,
+      "step": 2230
+    },
+    {
+      "entropy": 5.884273719787598,
+      "epoch": 1.851698425849213,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004863188934612583,
+      "loss": 5.854,
+      "mean_token_accuracy": 0.1435965158045292,
+      "num_tokens": 4080728.0,
+      "step": 2235
+    },
+    {
+      "entropy": 5.8848789691925045,
+      "epoch": 1.855840927920464,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004862089498679645,
+      "loss": 5.8121,
+      "mean_token_accuracy": 0.15146355628967284,
+      "num_tokens": 4088712.0,
+      "step": 2240
+    },
+    {
+      "entropy": 5.904728364944458,
+      "epoch": 1.8599834299917148,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004860985802431383,
+      "loss": 5.8445,
+      "mean_token_accuracy": 0.14107747822999955,
+      "num_tokens": 4097488.0,
+      "step": 2245
+    },
+    {
+      "entropy": 5.815548610687256,
+      "epoch": 1.864125932062966,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004859877848094071,
+      "loss": 5.8328,
+      "mean_token_accuracy": 0.14647450745105745,
+      "num_tokens": 4106485.0,
+      "step": 2250
+    },
+    {
+      "entropy": 5.969652986526489,
+      "epoch": 1.868268434134217,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004858765637902575,
+      "loss": 5.8016,
+      "mean_token_accuracy": 0.14588006138801574,
+      "num_tokens": 4115806.0,
+      "step": 2255
+    },
+    {
+      "entropy": 5.982199335098267,
+      "epoch": 1.8724109362054682,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004857649174100344,
+      "loss": 5.9353,
+      "mean_token_accuracy": 0.14478921219706536,
+      "num_tokens": 4124636.0,
+      "step": 2260
+    },
+    {
+      "entropy": 5.869907474517822,
+      "epoch": 1.8765534382767193,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.0004856528458939409,
+      "loss": 5.8948,
+      "mean_token_accuracy": 0.13403457626700402,
+      "num_tokens": 4133876.0,
+      "step": 2265
+    },
+    {
+      "entropy": 5.836872100830078,
+      "epoch": 1.8806959403479702,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004855403494680373,
+      "loss": 5.8159,
+      "mean_token_accuracy": 0.14096100330352784,
+      "num_tokens": 4143555.0,
+      "step": 2270
+    },
+    {
+      "entropy": 5.871636962890625,
+      "epoch": 1.884838442419221,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00048542742835924133,
+      "loss": 5.7773,
+      "mean_token_accuracy": 0.14253296032547952,
+      "num_tokens": 4153007.0,
+      "step": 2275
+    },
+    {
+      "entropy": 5.766701364517212,
+      "epoch": 1.8889809444904722,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048531408279532705,
+      "loss": 5.8171,
+      "mean_token_accuracy": 0.14552054405212403,
+      "num_tokens": 4162107.0,
+      "step": 2280
+    },
+    {
+      "entropy": 5.884533357620239,
+      "epoch": 1.8931234465617233,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048520031300492507,
+      "loss": 5.8208,
+      "mean_token_accuracy": 0.14203491136431695,
+      "num_tokens": 4170920.0,
+      "step": 2285
+    },
+    {
+      "entropy": 5.9367118835449215,
+      "epoch": 1.8972659486329744,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048508611921752124,
+      "loss": 5.8366,
+      "mean_token_accuracy": 0.14547978863120078,
+      "num_tokens": 4180226.0,
+      "step": 2290
+    },
+    {
+      "entropy": 5.804201984405518,
+      "epoch": 1.9014084507042255,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00048497150166345703,
+      "loss": 5.7799,
+      "mean_token_accuracy": 0.14307984560728074,
+      "num_tokens": 4189283.0,
+      "step": 2295
+    },
+    {
+      "entropy": 5.833661937713623,
+      "epoch": 1.9055509527754764,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004848564605739287,
+      "loss": 5.8181,
+      "mean_token_accuracy": 0.14286661818623542,
+      "num_tokens": 4199017.0,
+      "step": 2300
+    },
+    {
+      "entropy": 5.985245418548584,
+      "epoch": 1.9096934548467275,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048474099618098644,
+      "loss": 5.9557,
+      "mean_token_accuracy": 0.13776218444108962,
+      "num_tokens": 4207756.0,
+      "step": 2305
+    },
+    {
+      "entropy": 5.926583385467529,
+      "epoch": 1.9138359569179784,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004846251087175348,
+      "loss": 5.8467,
+      "mean_token_accuracy": 0.14270823299884797,
+      "num_tokens": 4216721.0,
+      "step": 2310
+    },
+    {
+      "entropy": 5.816466999053955,
+      "epoch": 1.9179784589892295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004845087984173312,
+      "loss": 5.8214,
+      "mean_token_accuracy": 0.14952016696333886,
+      "num_tokens": 4225596.0,
+      "step": 2315
+    },
+    {
+      "entropy": 5.975145244598389,
+      "epoch": 1.9221209610604806,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048439206551498644,
+      "loss": 5.8881,
+      "mean_token_accuracy": 0.14604572355747222,
+      "num_tokens": 4234500.0,
+      "step": 2320
+    },
+    {
+      "entropy": 5.83410792350769,
+      "epoch": 1.9262634631317317,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004842749102459635,
+      "loss": 5.8331,
+      "mean_token_accuracy": 0.14477182626724244,
+      "num_tokens": 4243240.0,
+      "step": 2325
+    },
+    {
+      "entropy": 5.799895906448365,
+      "epoch": 1.9304059652029826,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048415733284657727,
+      "loss": 5.8249,
+      "mean_token_accuracy": 0.14724751114845275,
+      "num_tokens": 4251892.0,
+      "step": 2330
+    },
+    {
+      "entropy": 5.914888668060303,
+      "epoch": 1.9345484672742337,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004840393335539943,
+      "loss": 5.784,
+      "mean_token_accuracy": 0.14537777602672577,
+      "num_tokens": 4261447.0,
+      "step": 2335
+    },
+    {
+      "entropy": 5.93565788269043,
+      "epoch": 1.9386909693454846,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048392091260623195,
+      "loss": 5.9202,
+      "mean_token_accuracy": 0.1471864774823189,
+      "num_tokens": 4270120.0,
+      "step": 2340
+    },
+    {
+      "entropy": 5.905978488922119,
+      "epoch": 1.9428334714167357,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048380207024215836,
+      "loss": 5.7991,
+      "mean_token_accuracy": 0.1482786476612091,
+      "num_tokens": 4278300.0,
+      "step": 2345
+    },
+    {
+      "entropy": 5.905145263671875,
+      "epoch": 1.9469759734879868,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00048368280670149145,
+      "loss": 5.8487,
+      "mean_token_accuracy": 0.1461447760462761,
+      "num_tokens": 4286454.0,
+      "step": 2350
+    },
+    {
+      "entropy": 5.805000495910645,
+      "epoch": 1.951118475559238,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004835631222247989,
+      "loss": 5.7243,
+      "mean_token_accuracy": 0.15050614029169082,
+      "num_tokens": 4294752.0,
+      "step": 2355
+    },
+    {
+      "entropy": 5.907592630386352,
+      "epoch": 1.9552609776304888,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00048344301705349735,
+      "loss": 5.7974,
+      "mean_token_accuracy": 0.14830030649900436,
+      "num_tokens": 4303195.0,
+      "step": 2360
+    },
+    {
+      "entropy": 5.841587924957276,
+      "epoch": 1.95940347970174,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048332249142985195,
+      "loss": 5.9211,
+      "mean_token_accuracy": 0.1373597078025341,
+      "num_tokens": 4311961.0,
+      "step": 2365
+    },
+    {
+      "entropy": 5.900353670120239,
+      "epoch": 1.9635459817729908,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004832015455969763,
+      "loss": 5.7748,
+      "mean_token_accuracy": 0.13879901468753814,
+      "num_tokens": 4322267.0,
+      "step": 2370
+    },
+    {
+      "entropy": 5.774641275405884,
+      "epoch": 1.9676884838442419,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048308017979883114,
+      "loss": 5.8838,
+      "mean_token_accuracy": 0.1426581546664238,
+      "num_tokens": 4330584.0,
+      "step": 2375
+    },
+    {
+      "entropy": 5.840176010131836,
+      "epoch": 1.971830985915493,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048295839428022454,
+      "loss": 5.7215,
+      "mean_token_accuracy": 0.14949245899915695,
+      "num_tokens": 4339215.0,
+      "step": 2380
+    },
+    {
+      "entropy": 5.869688034057617,
+      "epoch": 1.975973487986744,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00048283618928681127,
+      "loss": 5.7418,
+      "mean_token_accuracy": 0.1501791574060917,
+      "num_tokens": 4347711.0,
+      "step": 2385
+    },
+    {
+      "entropy": 5.764533996582031,
+      "epoch": 1.980115990057995,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004827135650650923,
+      "loss": 5.7445,
+      "mean_token_accuracy": 0.14758301600813867,
+      "num_tokens": 4356982.0,
+      "step": 2390
+    },
+    {
+      "entropy": 5.770398235321045,
+      "epoch": 1.984258492129246,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004825905218624139,
+      "loss": 5.7696,
+      "mean_token_accuracy": 0.14773683473467827,
+      "num_tokens": 4365378.0,
+      "step": 2395
+    },
+    {
+      "entropy": 5.9908288478851315,
+      "epoch": 1.988400994200497,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048246705992696756,
+      "loss": 5.8174,
+      "mean_token_accuracy": 0.14142358154058457,
+      "num_tokens": 4374007.0,
+      "step": 2400
+    },
+    {
+      "entropy": 5.9741987705230715,
+      "epoch": 1.992543496271748,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048234317950778975,
+      "loss": 5.9346,
+      "mean_token_accuracy": 0.1409923940896988,
+      "num_tokens": 4383909.0,
+      "step": 2405
+    },
+    {
+      "entropy": 5.967488718032837,
+      "epoch": 1.9966859983429992,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004822188808547607,
+      "loss": 5.9967,
+      "mean_token_accuracy": 0.13560240790247918,
+      "num_tokens": 4393145.0,
+      "step": 2410
+    },
+    {
+      "entropy": 5.751282596588135,
+      "epoch": 2.0008285004142503,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004820941642186043,
+      "loss": 5.7146,
+      "mean_token_accuracy": 0.14043126851320267,
+      "num_tokens": 4402024.0,
+      "step": 2415
+    },
+    {
+      "entropy": 5.91456356048584,
+      "epoch": 2.0049710024855014,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004819690298508879,
+      "loss": 5.5395,
+      "mean_token_accuracy": 0.1603303700685501,
+      "num_tokens": 4411377.0,
+      "step": 2420
+    },
+    {
+      "entropy": 5.758482313156128,
+      "epoch": 2.009113504556752,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048184347800402083,
+      "loss": 5.4299,
+      "mean_token_accuracy": 0.16564757078886033,
+      "num_tokens": 4419781.0,
+      "step": 2425
+    },
+    {
+      "entropy": 5.727555131912231,
+      "epoch": 2.013256006628003,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004817175089312551,
+      "loss": 5.4154,
+      "mean_token_accuracy": 0.16400155574083328,
+      "num_tokens": 4428427.0,
+      "step": 2430
+    },
+    {
+      "entropy": 5.749885892868042,
+      "epoch": 2.0173985086992543,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048159112288668403,
+      "loss": 5.4586,
+      "mean_token_accuracy": 0.15933601409196854,
+      "num_tokens": 4438156.0,
+      "step": 2435
+    },
+    {
+      "entropy": 5.876013088226318,
+      "epoch": 2.0215410107705054,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00048146432012524215,
+      "loss": 5.4819,
+      "mean_token_accuracy": 0.16306492537260056,
+      "num_tokens": 4446342.0,
+      "step": 2440
+    },
+    {
+      "entropy": 5.738983201980591,
+      "epoch": 2.0256835128417565,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00048133710090270446,
+      "loss": 5.5229,
+      "mean_token_accuracy": 0.1542331963777542,
+      "num_tokens": 4455582.0,
+      "step": 2445
+    },
+    {
+      "entropy": 5.815389633178711,
+      "epoch": 2.0298260149130076,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048120946547568596,
+      "loss": 5.5375,
+      "mean_token_accuracy": 0.15604802072048188,
+      "num_tokens": 4464518.0,
+      "step": 2450
+    },
+    {
+      "entropy": 5.927202749252319,
+      "epoch": 2.0339685169842583,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00048108141410164133,
+      "loss": 5.6588,
+      "mean_token_accuracy": 0.14534952044486998,
+      "num_tokens": 4475031.0,
+      "step": 2455
+    },
+    {
+      "entropy": 5.8722837448120115,
+      "epoch": 2.0381110190555094,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004809529470388642,
+      "loss": 5.5396,
+      "mean_token_accuracy": 0.1577153742313385,
+      "num_tokens": 4484609.0,
+      "step": 2460
+    },
+    {
+      "entropy": 5.787671709060669,
+      "epoch": 2.0422535211267605,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004808240645464866,
+      "loss": 5.5698,
+      "mean_token_accuracy": 0.15477177649736404,
+      "num_tokens": 4494238.0,
+      "step": 2465
+    },
+    {
+      "entropy": 5.684235668182373,
+      "epoch": 2.0463960231980116,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004806947668844787,
+      "loss": 5.4573,
+      "mean_token_accuracy": 0.16172746568918228,
+      "num_tokens": 4503258.0,
+      "step": 2470
+    },
+    {
+      "entropy": 5.786364412307739,
+      "epoch": 2.0505385252692627,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048056505431364794,
+      "loss": 5.5091,
+      "mean_token_accuracy": 0.15975141078233718,
+      "num_tokens": 4512071.0,
+      "step": 2475
+    },
+    {
+      "entropy": 5.736668491363526,
+      "epoch": 2.054681027340514,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00048043492709563877,
+      "loss": 5.3461,
+      "mean_token_accuracy": 0.17059434503316878,
+      "num_tokens": 4520219.0,
+      "step": 2480
+    },
+    {
+      "entropy": 5.672813034057617,
+      "epoch": 2.0588235294117645,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048030438549293193,
+      "loss": 5.5568,
+      "mean_token_accuracy": 0.15284566581249237,
+      "num_tokens": 4529386.0,
+      "step": 2485
+    },
+    {
+      "entropy": 5.830966377258301,
+      "epoch": 2.0629660314830156,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00048017342976884424,
+      "loss": 5.5638,
+      "mean_token_accuracy": 0.15199215039610864,
+      "num_tokens": 4538860.0,
+      "step": 2490
+    },
+    {
+      "entropy": 5.761076402664185,
+      "epoch": 2.0671085335542667,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048004206018752773,
+      "loss": 5.5299,
+      "mean_token_accuracy": 0.15335657596588134,
+      "num_tokens": 4547842.0,
+      "step": 2495
+    },
+    {
+      "entropy": 5.733208799362183,
+      "epoch": 2.071251035625518,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047991027701396895,
+      "loss": 5.5026,
+      "mean_token_accuracy": 0.15411428660154342,
+      "num_tokens": 4556238.0,
+      "step": 2500
+    },
+    {
+      "epoch": 2.071251035625518,
+      "eval_entropy": 5.642364594473768,
+      "eval_loss": 6.032641410827637,
+      "eval_mean_token_accuracy": 0.1416530203399882,
+      "eval_num_tokens": 4556238.0,
+      "eval_runtime": 2.7817,
+      "eval_samples_per_second": 1347.034,
+      "eval_steps_per_second": 168.604,
+      "step": 2500
+    },
+    {
+      "entropy": 5.732073068618774,
+      "epoch": 2.075393537696769,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004797780805139892,
+      "loss": 5.5069,
+      "mean_token_accuracy": 0.1587075412273407,
+      "num_tokens": 4565684.0,
+      "step": 2505
+    },
+    {
+      "entropy": 5.722462224960327,
+      "epoch": 2.07953603976802,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004796454709542432,
+      "loss": 5.467,
+      "mean_token_accuracy": 0.1590041533112526,
+      "num_tokens": 4575001.0,
+      "step": 2510
+    },
+    {
+      "entropy": 5.797696113586426,
+      "epoch": 2.083678541839271,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004795124486022189,
+      "loss": 5.5732,
+      "mean_token_accuracy": 0.15362634360790253,
+      "num_tokens": 4584128.0,
+      "step": 2515
+    },
+    {
+      "entropy": 5.711380529403686,
+      "epoch": 2.087821043910522,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047937901372623694,
+      "loss": 5.4191,
+      "mean_token_accuracy": 0.16894411891698838,
+      "num_tokens": 4593011.0,
+      "step": 2520
+    },
+    {
+      "entropy": 5.688450145721435,
+      "epoch": 2.091963545981773,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00047924516659545005,
+      "loss": 5.4668,
+      "mean_token_accuracy": 0.16164053976535797,
+      "num_tokens": 4602676.0,
+      "step": 2525
+    },
+    {
+      "entropy": 5.79151463508606,
+      "epoch": 2.096106048053024,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004791109074798425,
+      "loss": 5.5522,
+      "mean_token_accuracy": 0.15433578938245773,
+      "num_tokens": 4611915.0,
+      "step": 2530
+    },
+    {
+      "entropy": 5.748647403717041,
+      "epoch": 2.100248550124275,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004789762366502296,
+      "loss": 5.5184,
+      "mean_token_accuracy": 0.15959300100803375,
+      "num_tokens": 4621396.0,
+      "step": 2535
+    },
+    {
+      "entropy": 5.7374598503112795,
+      "epoch": 2.1043910521955262,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004788411543782571,
+      "loss": 5.5201,
+      "mean_token_accuracy": 0.1591552659869194,
+      "num_tokens": 4630533.0,
+      "step": 2540
+    },
+    {
+      "entropy": 5.678498649597168,
+      "epoch": 2.108533554266777,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004787056609364008,
+      "loss": 5.4599,
+      "mean_token_accuracy": 0.1542729303240776,
+      "num_tokens": 4639023.0,
+      "step": 2545
+    },
+    {
+      "entropy": 5.711474943161011,
+      "epoch": 2.112676056338028,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004785697565979657,
+      "loss": 5.4732,
+      "mean_token_accuracy": 0.15900285094976424,
+      "num_tokens": 4647975.0,
+      "step": 2550
+    },
+    {
+      "entropy": 5.72883243560791,
+      "epoch": 2.116818558409279,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004784334416370857,
+      "loss": 5.498,
+      "mean_token_accuracy": 0.15594277828931807,
+      "num_tokens": 4657555.0,
+      "step": 2555
+    },
+    {
+      "entropy": 5.745093822479248,
+      "epoch": 2.1209610604805302,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004782967163287231,
+      "loss": 5.4193,
+      "mean_token_accuracy": 0.16100153774023057,
+      "num_tokens": 4667228.0,
+      "step": 2560
+    },
+    {
+      "entropy": 5.716836738586426,
+      "epoch": 2.1251035625517813,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047815958094866756,
+      "loss": 5.4957,
+      "mean_token_accuracy": 0.1513967014849186,
+      "num_tokens": 4676723.0,
+      "step": 2565
+    },
+    {
+      "entropy": 5.7276163578033445,
+      "epoch": 2.1292460646230325,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004780220357735363,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.15479894131422042,
+      "num_tokens": 4686241.0,
+      "step": 2570
+    },
+    {
+      "entropy": 5.764811038970947,
+      "epoch": 2.1333885666942836,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047788408108077294,
+      "loss": 5.5404,
+      "mean_token_accuracy": 0.1561874568462372,
+      "num_tokens": 4695195.0,
+      "step": 2575
+    },
+    {
+      "entropy": 5.739376497268677,
+      "epoch": 2.1375310687655342,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004777457171486471,
+      "loss": 5.5871,
+      "mean_token_accuracy": 0.15551834553480148,
+      "num_tokens": 4704716.0,
+      "step": 2580
+    },
+    {
+      "entropy": 5.769967555999756,
+      "epoch": 2.1416735708367853,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004776069442562541,
+      "loss": 5.5562,
+      "mean_token_accuracy": 0.15339450240135194,
+      "num_tokens": 4713720.0,
+      "step": 2585
+    },
+    {
+      "entropy": 5.733342504501342,
+      "epoch": 2.1458160729080364,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004774677626835138,
+      "loss": 5.5366,
+      "mean_token_accuracy": 0.15301723331212996,
+      "num_tokens": 4722428.0,
+      "step": 2590
+    },
+    {
+      "entropy": 5.787648677825928,
+      "epoch": 2.1499585749792876,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00047732817271117084,
+      "loss": 5.5365,
+      "mean_token_accuracy": 0.15334974452853203,
+      "num_tokens": 4732395.0,
+      "step": 2595
+    },
+    {
+      "entropy": 5.773520803451538,
+      "epoch": 2.1541010770505387,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004771881746207934,
+      "loss": 5.5206,
+      "mean_token_accuracy": 0.15674114525318145,
+      "num_tokens": 4741071.0,
+      "step": 2600
+    },
+    {
+      "entropy": 5.607013797760009,
+      "epoch": 2.1582435791217898,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047704776869477285,
+      "loss": 5.5153,
+      "mean_token_accuracy": 0.15076877027750016,
+      "num_tokens": 4749876.0,
+      "step": 2605
+    },
+    {
+      "entropy": 5.784313154220581,
+      "epoch": 2.1623860811930404,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00047690695521632344,
+      "loss": 5.4669,
+      "mean_token_accuracy": 0.16002854704856873,
+      "num_tokens": 4758721.0,
+      "step": 2610
+    },
+    {
+      "entropy": 5.6919313907623295,
+      "epoch": 2.1665285832642915,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047676573446948114,
+      "loss": 5.4832,
+      "mean_token_accuracy": 0.15925751626491547,
+      "num_tokens": 4767162.0,
+      "step": 2615
+    },
+    {
+      "entropy": 5.71550760269165,
+      "epoch": 2.1706710853355426,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047662410673910376,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.1629578560590744,
+      "num_tokens": 4776397.0,
+      "step": 2620
+    },
+    {
+      "entropy": 5.665811157226562,
+      "epoch": 2.1748135874067938,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047648207231087,
+      "loss": 5.4579,
+      "mean_token_accuracy": 0.15894875824451446,
+      "num_tokens": 4784822.0,
+      "step": 2625
+    },
+    {
+      "entropy": 5.71003270149231,
+      "epoch": 2.178956089478045,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004763396314712786,
+      "loss": 5.5297,
+      "mean_token_accuracy": 0.15831661075353623,
+      "num_tokens": 4794272.0,
+      "step": 2630
+    },
+    {
+      "entropy": 5.64026665687561,
+      "epoch": 2.183098591549296,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004761967845076484,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.15510014593601226,
+      "num_tokens": 4804314.0,
+      "step": 2635
+    },
+    {
+      "entropy": 5.6847330093383786,
+      "epoch": 2.1872410936205466,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004760535317081174,
+      "loss": 5.4694,
+      "mean_token_accuracy": 0.15845878273248673,
+      "num_tokens": 4812685.0,
+      "step": 2640
+    },
+    {
+      "entropy": 5.715235567092895,
+      "epoch": 2.1913835956917977,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047590987336164207,
+      "loss": 5.5532,
+      "mean_token_accuracy": 0.1562129870057106,
+      "num_tokens": 4821761.0,
+      "step": 2645
+    },
+    {
+      "entropy": 5.741413831710815,
+      "epoch": 2.195526097763049,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00047576580975799705,
+      "loss": 5.5307,
+      "mean_token_accuracy": 0.1623195379972458,
+      "num_tokens": 4830515.0,
+      "step": 2650
+    },
+    {
+      "entropy": 5.782008934020996,
+      "epoch": 2.1996685998343,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004756213411877743,
+      "loss": 5.5059,
+      "mean_token_accuracy": 0.14879967421293258,
+      "num_tokens": 4840741.0,
+      "step": 2655
+    },
+    {
+      "entropy": 5.612497425079345,
+      "epoch": 2.203811101905551,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047547646794238277,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.16198884546756745,
+      "num_tokens": 4849571.0,
+      "step": 2660
+    },
+    {
+      "entropy": 5.689143991470337,
+      "epoch": 2.207953603976802,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047533119031404757,
+      "loss": 5.4138,
+      "mean_token_accuracy": 0.1696420982480049,
+      "num_tokens": 4857194.0,
+      "step": 2665
+    },
+    {
+      "entropy": 5.632621717453003,
+      "epoch": 2.212096106048053,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00047518550859580966,
+      "loss": 5.5074,
+      "mean_token_accuracy": 0.1592964008450508,
+      "num_tokens": 4865894.0,
+      "step": 2670
+    },
+    {
+      "entropy": 5.74289755821228,
+      "epoch": 2.216238608119304,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004750394230815249,
+      "loss": 5.5268,
+      "mean_token_accuracy": 0.15829544067382811,
+      "num_tokens": 4875131.0,
+      "step": 2675
+    },
+    {
+      "entropy": 5.670539522171021,
+      "epoch": 2.220381110190555,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047489293406586375,
+      "loss": 5.3777,
+      "mean_token_accuracy": 0.1620385766029358,
+      "num_tokens": 4884098.0,
+      "step": 2680
+    },
+    {
+      "entropy": 5.657269620895386,
+      "epoch": 2.224523612261806,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004747460418443106,
+      "loss": 5.4373,
+      "mean_token_accuracy": 0.15941016003489494,
+      "num_tokens": 4892963.0,
+      "step": 2685
+    },
+    {
+      "entropy": 5.690485191345215,
+      "epoch": 2.2286661143330573,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047459874671316305,
+      "loss": 5.4903,
+      "mean_token_accuracy": 0.15749651044607163,
+      "num_tokens": 4902097.0,
+      "step": 2690
+    },
+    {
+      "entropy": 5.608357000350952,
+      "epoch": 2.2328086164043084,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00047445104896953153,
+      "loss": 5.4015,
+      "mean_token_accuracy": 0.16532779037952422,
+      "num_tokens": 4910469.0,
+      "step": 2695
+    },
+    {
+      "entropy": 5.82715744972229,
+      "epoch": 2.236951118475559,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047430294891133846,
+      "loss": 5.6892,
+      "mean_token_accuracy": 0.1501491665840149,
+      "num_tokens": 4921024.0,
+      "step": 2700
+    },
+    {
+      "entropy": 5.749764776229858,
+      "epoch": 2.24109362054681,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004741544468373179,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15474629402160645,
+      "num_tokens": 4930297.0,
+      "step": 2705
+    },
+    {
+      "entropy": 5.687776947021485,
+      "epoch": 2.2452361226180613,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00047400554304701474,
+      "loss": 5.4692,
+      "mean_token_accuracy": 0.16049361675977708,
+      "num_tokens": 4938971.0,
+      "step": 2710
+    },
+    {
+      "entropy": 5.571053695678711,
+      "epoch": 2.2493786246893124,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047385623784078427,
+      "loss": 5.4899,
+      "mean_token_accuracy": 0.15803302526474,
+      "num_tokens": 4948531.0,
+      "step": 2715
+    },
+    {
+      "entropy": 5.787879133224488,
+      "epoch": 2.2535211267605635,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004737065315197913,
+      "loss": 5.5664,
+      "mean_token_accuracy": 0.1587745025753975,
+      "num_tokens": 4957430.0,
+      "step": 2720
+    },
+    {
+      "entropy": 5.720958280563354,
+      "epoch": 2.2576636288318146,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047355642438600987,
+      "loss": 5.5478,
+      "mean_token_accuracy": 0.16044806241989135,
+      "num_tokens": 4966681.0,
+      "step": 2725
+    },
+    {
+      "entropy": 5.638753175735474,
+      "epoch": 2.2618061309030653,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004734059167422225,
+      "loss": 5.4123,
+      "mean_token_accuracy": 0.1639780133962631,
+      "num_tokens": 4975327.0,
+      "step": 2730
+    },
+    {
+      "entropy": 5.634887552261352,
+      "epoch": 2.2659486329743164,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047325500889201956,
+      "loss": 5.4725,
+      "mean_token_accuracy": 0.16207436099648476,
+      "num_tokens": 4983741.0,
+      "step": 2735
+    },
+    {
+      "entropy": 5.673438644409179,
+      "epoch": 2.2700911350455675,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004731037011397986,
+      "loss": 5.5662,
+      "mean_token_accuracy": 0.15884149968624114,
+      "num_tokens": 4993171.0,
+      "step": 2740
+    },
+    {
+      "entropy": 5.752307653427124,
+      "epoch": 2.2742336371168186,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047295199379076403,
+      "loss": 5.6,
+      "mean_token_accuracy": 0.15322241187095642,
+      "num_tokens": 5002810.0,
+      "step": 2745
+    },
+    {
+      "entropy": 5.7073346138000485,
+      "epoch": 2.2783761391880697,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000472799887150926,
+      "loss": 5.4893,
+      "mean_token_accuracy": 0.15741414427757264,
+      "num_tokens": 5011875.0,
+      "step": 2750
+    },
+    {
+      "entropy": 5.679959297180176,
+      "epoch": 2.282518641259321,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004726473815271003,
+      "loss": 5.5349,
+      "mean_token_accuracy": 0.15855301022529603,
+      "num_tokens": 5020780.0,
+      "step": 2755
+    },
+    {
+      "entropy": 5.669374132156372,
+      "epoch": 2.286661143330572,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047249447722690747,
+      "loss": 5.4331,
+      "mean_token_accuracy": 0.16046710908412934,
+      "num_tokens": 5029896.0,
+      "step": 2760
+    },
+    {
+      "entropy": 5.652454280853272,
+      "epoch": 2.2908036454018226,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047234117455877215,
+      "loss": 5.4932,
+      "mean_token_accuracy": 0.1545606277883053,
+      "num_tokens": 5038956.0,
+      "step": 2765
+    },
+    {
+      "entropy": 5.639697694778443,
+      "epoch": 2.2949461474730737,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004721874738319225,
+      "loss": 5.4594,
+      "mean_token_accuracy": 0.17258906960487366,
+      "num_tokens": 5047005.0,
+      "step": 2770
+    },
+    {
+      "entropy": 5.655842065811157,
+      "epoch": 2.299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004720333753563898,
+      "loss": 5.5008,
+      "mean_token_accuracy": 0.15116662830114364,
+      "num_tokens": 5056475.0,
+      "step": 2775
+    },
+    {
+      "entropy": 5.704644584655762,
+      "epoch": 2.303231151615576,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00047187887944300747,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16439782381057738,
+      "num_tokens": 5064978.0,
+      "step": 2780
+    },
+    {
+      "entropy": 5.726413679122925,
+      "epoch": 2.307373653686827,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004717239864034107,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.15506226867437362,
+      "num_tokens": 5074235.0,
+      "step": 2785
+    },
+    {
+      "entropy": 5.662968683242798,
+      "epoch": 2.3115161557580777,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047156869655003554,
+      "loss": 5.4481,
+      "mean_token_accuracy": 0.16141191571950914,
+      "num_tokens": 5082386.0,
+      "step": 2790
+    },
+    {
+      "entropy": 5.631324100494385,
+      "epoch": 2.315658657829329,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047141301019611875,
+      "loss": 5.4164,
+      "mean_token_accuracy": 0.16636510640382768,
+      "num_tokens": 5090634.0,
+      "step": 2795
+    },
+    {
+      "entropy": 5.818879795074463,
+      "epoch": 2.31980115990058,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004712569276556967,
+      "loss": 5.5906,
+      "mean_token_accuracy": 0.14937217235565187,
+      "num_tokens": 5099003.0,
+      "step": 2800
+    },
+    {
+      "entropy": 5.617757177352905,
+      "epoch": 2.323943661971831,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00047110044924360484,
+      "loss": 5.6681,
+      "mean_token_accuracy": 0.1565680392086506,
+      "num_tokens": 5108631.0,
+      "step": 2805
+    },
+    {
+      "entropy": 5.732515859603882,
+      "epoch": 2.328086164043082,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00047094357527547725,
+      "loss": 5.4545,
+      "mean_token_accuracy": 0.15828853249549865,
+      "num_tokens": 5117309.0,
+      "step": 2810
+    },
+    {
+      "entropy": 5.686485624313354,
+      "epoch": 2.332228666114333,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004707863060677459,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.1627561032772064,
+      "num_tokens": 5126305.0,
+      "step": 2815
+    },
+    {
+      "entropy": 5.821760654449463,
+      "epoch": 2.3363711681855843,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00047062864193764,
+      "loss": 5.6022,
+      "mean_token_accuracy": 0.15580221712589265,
+      "num_tokens": 5135338.0,
+      "step": 2820
+    },
+    {
+      "entropy": 5.676449155807495,
+      "epoch": 2.340513670256835,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047047058320318525,
+      "loss": 5.5298,
+      "mean_token_accuracy": 0.16162888556718827,
+      "num_tokens": 5144518.0,
+      "step": 2825
+    },
+    {
+      "entropy": 5.702890157699585,
+      "epoch": 2.344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004703121301832034,
+      "loss": 5.6262,
+      "mean_token_accuracy": 0.15101130157709122,
+      "num_tokens": 5154102.0,
+      "step": 2830
+    },
+    {
+      "entropy": 5.7891247272491455,
+      "epoch": 2.348798674399337,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047015328319731153,
+      "loss": 5.5642,
+      "mean_token_accuracy": 0.15612353384494781,
+      "num_tokens": 5163719.0,
+      "step": 2835
+    },
+    {
+      "entropy": 5.677855682373047,
+      "epoch": 2.3529411764705883,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004699940425659215,
+      "loss": 5.5247,
+      "mean_token_accuracy": 0.15519936084747316,
+      "num_tokens": 5173192.0,
+      "step": 2840
+    },
+    {
+      "entropy": 5.622324132919312,
+      "epoch": 2.3570836785418394,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00046983440861023877,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.1663823500275612,
+      "num_tokens": 5182438.0,
+      "step": 2845
+    },
+    {
+      "entropy": 5.699106454849243,
+      "epoch": 2.36122618061309,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046967438165226275,
+      "loss": 5.6015,
+      "mean_token_accuracy": 0.15352728664875032,
+      "num_tokens": 5191595.0,
+      "step": 2850
+    },
+    {
+      "entropy": 5.659265756607056,
+      "epoch": 2.365368682684341,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004695139620147851,
+      "loss": 5.4682,
+      "mean_token_accuracy": 0.1643056571483612,
+      "num_tokens": 5200174.0,
+      "step": 2855
+    },
+    {
+      "entropy": 5.713242053985596,
+      "epoch": 2.3695111847555923,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046935315002138994,
+      "loss": 5.5804,
+      "mean_token_accuracy": 0.15417435318231582,
+      "num_tokens": 5210454.0,
+      "step": 2860
+    },
+    {
+      "entropy": 5.727554702758789,
+      "epoch": 2.3736536868268434,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004691919459964525,
+      "loss": 5.5019,
+      "mean_token_accuracy": 0.16056040227413176,
+      "num_tokens": 5219243.0,
+      "step": 2865
+    },
+    {
+      "entropy": 5.5862212657928465,
+      "epoch": 2.3777961888980945,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046903035026513894,
+      "loss": 5.4319,
+      "mean_token_accuracy": 0.1613735228776932,
+      "num_tokens": 5228656.0,
+      "step": 2870
+    },
+    {
+      "entropy": 5.587289905548095,
+      "epoch": 2.3819386909693456,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004688683631534056,
+      "loss": 5.4859,
+      "mean_token_accuracy": 0.156366066634655,
+      "num_tokens": 5237807.0,
+      "step": 2875
+    },
+    {
+      "entropy": 5.775411653518677,
+      "epoch": 2.3860811930405967,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004687059849879981,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.1609719067811966,
+      "num_tokens": 5247432.0,
+      "step": 2880
+    },
+    {
+      "entropy": 5.597807741165161,
+      "epoch": 2.3902236951118474,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00046854321609645093,
+      "loss": 5.4145,
+      "mean_token_accuracy": 0.16111126840114592,
+      "num_tokens": 5256680.0,
+      "step": 2885
+    },
+    {
+      "entropy": 5.6380726337432865,
+      "epoch": 2.3943661971830985,
+      "grad_norm": 2.15625,
+      "learning_rate": 0.00046838005680708677,
+      "loss": 5.5296,
+      "mean_token_accuracy": 0.14821895360946655,
+      "num_tokens": 5266793.0,
+      "step": 2890
+    },
+    {
+      "entropy": 5.710390281677246,
+      "epoch": 2.3985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046821650744901573,
+      "loss": 5.4452,
+      "mean_token_accuracy": 0.15857197493314742,
+      "num_tokens": 5275028.0,
+      "step": 2895
+    },
+    {
+      "entropy": 5.598506593704224,
+      "epoch": 2.4026512013256007,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004680525683521347,
+      "loss": 5.5226,
+      "mean_token_accuracy": 0.1566852644085884,
+      "num_tokens": 5284162.0,
+      "step": 2900
+    },
+    {
+      "entropy": 5.757242631912232,
+      "epoch": 2.406793703396852,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004678882398471269,
+      "loss": 5.5911,
+      "mean_token_accuracy": 0.15474308133125306,
+      "num_tokens": 5293263.0,
+      "step": 2905
+    },
+    {
+      "entropy": 5.654598569869995,
+      "epoch": 2.4109362054681025,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046772352226546066,
+      "loss": 5.477,
+      "mean_token_accuracy": 0.1666618600487709,
+      "num_tokens": 5301373.0,
+      "step": 2910
+    },
+    {
+      "entropy": 5.643638467788696,
+      "epoch": 2.4150787075393536,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004675584159393895,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.15203802064061164,
+      "num_tokens": 5311009.0,
+      "step": 2915
+    },
+    {
+      "entropy": 5.699149656295776,
+      "epoch": 2.4192212096106047,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046739292120195083,
+      "loss": 5.5245,
+      "mean_token_accuracy": 0.16085631400346756,
+      "num_tokens": 5320341.0,
+      "step": 2920
+    },
+    {
+      "entropy": 5.642888498306275,
+      "epoch": 2.423363711681856,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004672270383869657,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1610630214214325,
+      "num_tokens": 5329250.0,
+      "step": 2925
+    },
+    {
+      "entropy": 5.62935357093811,
+      "epoch": 2.427506213753107,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004670607678290379,
+      "loss": 5.4471,
+      "mean_token_accuracy": 0.16571807861328125,
+      "num_tokens": 5336515.0,
+      "step": 2930
+    },
+    {
+      "entropy": 5.655415058135986,
+      "epoch": 2.431648715824358,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004668941098635532,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.1595415398478508,
+      "num_tokens": 5346043.0,
+      "step": 2935
+    },
+    {
+      "entropy": 5.642036104202271,
+      "epoch": 2.435791217895609,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00046672706482667897,
+      "loss": 5.4925,
+      "mean_token_accuracy": 0.15832271426916122,
+      "num_tokens": 5355124.0,
+      "step": 2940
+    },
+    {
+      "entropy": 5.647988367080688,
+      "epoch": 2.43993371996686,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004665596330553633,
+      "loss": 5.5051,
+      "mean_token_accuracy": 0.1597411409020424,
+      "num_tokens": 5364556.0,
+      "step": 2945
+    },
+    {
+      "entropy": 5.67459397315979,
+      "epoch": 2.444076222038111,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046639181488733445,
+      "loss": 5.5316,
+      "mean_token_accuracy": 0.15941161364316941,
+      "num_tokens": 5373778.0,
+      "step": 2950
+    },
+    {
+      "entropy": 5.725692987442017,
+      "epoch": 2.448218724109362,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004662236106610999,
+      "loss": 5.5123,
+      "mean_token_accuracy": 0.15816445648670197,
+      "num_tokens": 5382633.0,
+      "step": 2955
+    },
+    {
+      "entropy": 5.5606146335601805,
+      "epoch": 2.452361226180613,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00046605502071594604,
+      "loss": 5.4163,
+      "mean_token_accuracy": 0.16387673169374467,
+      "num_tokens": 5391442.0,
+      "step": 2960
+    },
+    {
+      "entropy": 5.569208765029908,
+      "epoch": 2.4565037282518642,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004658860453919371,
+      "loss": 5.4388,
+      "mean_token_accuracy": 0.1621423229575157,
+      "num_tokens": 5400504.0,
+      "step": 2965
+    },
+    {
+      "entropy": 5.587312078475952,
+      "epoch": 2.460646230323115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004657166850299149,
+      "loss": 5.4448,
+      "mean_token_accuracy": 0.16361159086227417,
+      "num_tokens": 5408939.0,
+      "step": 2970
+    },
+    {
+      "entropy": 5.629118537902832,
+      "epoch": 2.464788732394366,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004655469399714978,
+      "loss": 5.4722,
+      "mean_token_accuracy": 0.1575179159641266,
+      "num_tokens": 5418934.0,
+      "step": 2975
+    },
+    {
+      "entropy": 5.572103595733642,
+      "epoch": 2.468931234465617,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004653768105590799,
+      "loss": 5.4955,
+      "mean_token_accuracy": 0.16008511185646057,
+      "num_tokens": 5427894.0,
+      "step": 2980
+    },
+    {
+      "entropy": 5.683330011367798,
+      "epoch": 2.4730737365368682,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046520629713583115,
+      "loss": 5.5003,
+      "mean_token_accuracy": 0.1613202139735222,
+      "num_tokens": 5436830.0,
+      "step": 2985
+    },
+    {
+      "entropy": 5.597742080688477,
+      "epoch": 2.4772162386081193,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046503540004569555,
+      "loss": 5.4814,
+      "mean_token_accuracy": 0.16423845291137695,
+      "num_tokens": 5445504.0,
+      "step": 2990
+    },
+    {
+      "entropy": 5.679887342453003,
+      "epoch": 2.4813587406793705,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046486411963339125,
+      "loss": 5.5405,
+      "mean_token_accuracy": 0.15501321628689765,
+      "num_tokens": 5455378.0,
+      "step": 2995
+    },
+    {
+      "entropy": 5.712473011016845,
+      "epoch": 2.4855012427506216,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046469245624440955,
+      "loss": 5.6107,
+      "mean_token_accuracy": 0.1589423656463623,
+      "num_tokens": 5465334.0,
+      "step": 3000
+    },
+    {
+      "epoch": 2.4855012427506216,
+      "eval_entropy": 5.590163738234465,
+      "eval_loss": 5.965892314910889,
+      "eval_mean_token_accuracy": 0.14734836894947329,
+      "eval_num_tokens": 5465334.0,
+      "eval_runtime": 2.7526,
+      "eval_samples_per_second": 1361.234,
+      "eval_steps_per_second": 170.381,
+      "step": 3000
+    },
+    {
+      "entropy": 5.751126146316528,
+      "epoch": 2.4896437448218722,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046452041022501423,
+      "loss": 5.5858,
+      "mean_token_accuracy": 0.15555662512779236,
+      "num_tokens": 5475701.0,
+      "step": 3005
+    },
+    {
+      "entropy": 5.699931526184082,
+      "epoch": 2.4937862468931233,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004643479819222411,
+      "loss": 5.4828,
+      "mean_token_accuracy": 0.16229774355888366,
+      "num_tokens": 5485244.0,
+      "step": 3010
+    },
+    {
+      "entropy": 5.596950387954712,
+      "epoch": 2.4979287489643744,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046417517168389664,
+      "loss": 5.4434,
+      "mean_token_accuracy": 0.1682340309023857,
+      "num_tokens": 5493587.0,
+      "step": 3015
+    },
+    {
+      "entropy": 5.6203169345855715,
+      "epoch": 2.5020712510356256,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004640019798585581,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.15738681554794312,
+      "num_tokens": 5503117.0,
+      "step": 3020
+    },
+    {
+      "entropy": 5.762682390213013,
+      "epoch": 2.5062137531068767,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046382840679557233,
+      "loss": 5.5352,
+      "mean_token_accuracy": 0.16024575680494307,
+      "num_tokens": 5512742.0,
+      "step": 3025
+    },
+    {
+      "entropy": 5.647499704360962,
+      "epoch": 2.5103562551781273,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00046365445284505516,
+      "loss": 5.4968,
+      "mean_token_accuracy": 0.16166605204343795,
+      "num_tokens": 5521862.0,
+      "step": 3030
+    },
+    {
+      "entropy": 5.597900772094727,
+      "epoch": 2.5144987572493784,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.0004634801183578907,
+      "loss": 5.488,
+      "mean_token_accuracy": 0.1608501434326172,
+      "num_tokens": 5531244.0,
+      "step": 3035
+    },
+    {
+      "entropy": 5.655751419067383,
+      "epoch": 2.5186412593206295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046330540368573063,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15176820158958435,
+      "num_tokens": 5540786.0,
+      "step": 3040
+    },
+    {
+      "entropy": 5.7291028022766115,
+      "epoch": 2.5227837613918807,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046313030918099365,
+      "loss": 5.5224,
+      "mean_token_accuracy": 0.1602902241051197,
+      "num_tokens": 5549961.0,
+      "step": 3045
+    },
+    {
+      "entropy": 5.620108366012573,
+      "epoch": 2.5269262634631318,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00046295483519686437,
+      "loss": 5.4591,
+      "mean_token_accuracy": 0.16417455673217773,
+      "num_tokens": 5558941.0,
+      "step": 3050
+    },
+    {
+      "entropy": 5.644694232940674,
+      "epoch": 2.531068765534383,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046277898208729306,
+      "loss": 5.4673,
+      "mean_token_accuracy": 0.16716189235448836,
+      "num_tokens": 5567630.0,
+      "step": 3055
+    },
+    {
+      "entropy": 5.586954879760742,
+      "epoch": 2.535211267605634,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004626027502069947,
+      "loss": 5.4301,
+      "mean_token_accuracy": 0.16521373838186265,
+      "num_tokens": 5576430.0,
+      "step": 3060
+    },
+    {
+      "entropy": 5.650178289413452,
+      "epoch": 2.539353769676885,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046242613991144814,
+      "loss": 5.5444,
+      "mean_token_accuracy": 0.1609214127063751,
+      "num_tokens": 5584785.0,
+      "step": 3065
+    },
+    {
+      "entropy": 5.585511493682861,
+      "epoch": 2.5434962717481358,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046224915155689586,
+      "loss": 5.478,
+      "mean_token_accuracy": 0.16044741719961167,
+      "num_tokens": 5594583.0,
+      "step": 3070
+    },
+    {
+      "entropy": 5.638197040557861,
+      "epoch": 2.547638773819387,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046207178550034244,
+      "loss": 5.4306,
+      "mean_token_accuracy": 0.1608849883079529,
+      "num_tokens": 5603498.0,
+      "step": 3075
+    },
+    {
+      "entropy": 5.7161966323852536,
+      "epoch": 2.551781275890638,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004618940420995547,
+      "loss": 5.5685,
+      "mean_token_accuracy": 0.15440558269619942,
+      "num_tokens": 5613101.0,
+      "step": 3080
+    },
+    {
+      "entropy": 5.665849494934082,
+      "epoch": 2.555923777961889,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004617159217130606,
+      "loss": 5.5409,
+      "mean_token_accuracy": 0.1569191187620163,
+      "num_tokens": 5621821.0,
+      "step": 3085
+    },
+    {
+      "entropy": 5.711861181259155,
+      "epoch": 2.5600662800331397,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004615374247001483,
+      "loss": 5.5738,
+      "mean_token_accuracy": 0.15701586306095122,
+      "num_tokens": 5631006.0,
+      "step": 3090
+    },
+    {
+      "entropy": 5.674423551559448,
+      "epoch": 2.564208782104391,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004613585514208659,
+      "loss": 5.5295,
+      "mean_token_accuracy": 0.15232180580496787,
+      "num_tokens": 5640159.0,
+      "step": 3095
+    },
+    {
+      "entropy": 5.592060613632202,
+      "epoch": 2.568351284175642,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046117930223602016,
+      "loss": 5.4003,
+      "mean_token_accuracy": 0.1694741129875183,
+      "num_tokens": 5648369.0,
+      "step": 3100
+    },
+    {
+      "entropy": 5.5982965469360355,
+      "epoch": 2.572493786246893,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004609996775071765,
+      "loss": 5.459,
+      "mean_token_accuracy": 0.1591326355934143,
+      "num_tokens": 5657669.0,
+      "step": 3105
+    },
+    {
+      "entropy": 5.56780686378479,
+      "epoch": 2.576636288318144,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004608196775966575,
+      "loss": 5.5319,
+      "mean_token_accuracy": 0.1610974356532097,
+      "num_tokens": 5666601.0,
+      "step": 3110
+    },
+    {
+      "entropy": 5.639773225784301,
+      "epoch": 2.5807787903893953,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046063930286754267,
+      "loss": 5.4465,
+      "mean_token_accuracy": 0.16618527621030807,
+      "num_tokens": 5675243.0,
+      "step": 3115
+    },
+    {
+      "entropy": 5.56855001449585,
+      "epoch": 2.5849212924606464,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00046045855368366756,
+      "loss": 5.466,
+      "mean_token_accuracy": 0.1630399063229561,
+      "num_tokens": 5683646.0,
+      "step": 3120
+    },
+    {
+      "entropy": 5.682586193084717,
+      "epoch": 2.5890637945318975,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.000460277430409623,
+      "loss": 5.5129,
+      "mean_token_accuracy": 0.17162407487630843,
+      "num_tokens": 5693069.0,
+      "step": 3125
+    },
+    {
+      "entropy": 5.587219524383545,
+      "epoch": 2.593206296603148,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046009593341075444,
+      "loss": 5.3754,
+      "mean_token_accuracy": 0.16499391198158264,
+      "num_tokens": 5701527.0,
+      "step": 3130
+    },
+    {
+      "entropy": 5.561956834793091,
+      "epoch": 2.5973487986743993,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004599140630531612,
+      "loss": 5.5403,
+      "mean_token_accuracy": 0.15682477951049806,
+      "num_tokens": 5710379.0,
+      "step": 3135
+    },
+    {
+      "entropy": 5.69692587852478,
+      "epoch": 2.6014913007456504,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004597318197036956,
+      "loss": 5.4524,
+      "mean_token_accuracy": 0.1643553927540779,
+      "num_tokens": 5719217.0,
+      "step": 3140
+    },
+    {
+      "entropy": 5.629226970672607,
+      "epoch": 2.6056338028169015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004595492037299624,
+      "loss": 5.5535,
+      "mean_token_accuracy": 0.16214104294776915,
+      "num_tokens": 5728331.0,
+      "step": 3145
+    },
+    {
+      "entropy": 5.608061027526856,
+      "epoch": 2.6097763048881526,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045936621550031806,
+      "loss": 5.5107,
+      "mean_token_accuracy": 0.16073764860630035,
+      "num_tokens": 5737696.0,
+      "step": 3150
+    },
+    {
+      "entropy": 5.731885099411011,
+      "epoch": 2.6139188069594033,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045918285538386973,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.16164542436599733,
+      "num_tokens": 5746191.0,
+      "step": 3155
+    },
+    {
+      "entropy": 5.703127813339234,
+      "epoch": 2.6180613090306544,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00045899912375047485,
+      "loss": 5.5619,
+      "mean_token_accuracy": 0.1629435494542122,
+      "num_tokens": 5754824.0,
+      "step": 3160
+    },
+    {
+      "entropy": 5.638229656219482,
+      "epoch": 2.6222038111019055,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045881502097074023,
+      "loss": 5.537,
+      "mean_token_accuracy": 0.1518124133348465,
+      "num_tokens": 5764863.0,
+      "step": 3165
+    },
+    {
+      "entropy": 5.614318180084228,
+      "epoch": 2.6263463131731566,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004586305474160212,
+      "loss": 5.5459,
+      "mean_token_accuracy": 0.15642993301153182,
+      "num_tokens": 5774273.0,
+      "step": 3170
+    },
+    {
+      "entropy": 5.666326427459717,
+      "epoch": 2.6304888152444077,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045844570345842116,
+      "loss": 5.5044,
+      "mean_token_accuracy": 0.16042826995253562,
+      "num_tokens": 5784085.0,
+      "step": 3175
+    },
+    {
+      "entropy": 5.659371709823608,
+      "epoch": 2.634631317315659,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004582604894707906,
+      "loss": 5.5336,
+      "mean_token_accuracy": 0.16884370446205138,
+      "num_tokens": 5793921.0,
+      "step": 3180
+    },
+    {
+      "entropy": 5.664378356933594,
+      "epoch": 2.63877381938691,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00045807490582672634,
+      "loss": 5.4972,
+      "mean_token_accuracy": 0.15294444859027861,
+      "num_tokens": 5803902.0,
+      "step": 3185
+    },
+    {
+      "entropy": 5.542481708526611,
+      "epoch": 2.6429163214581606,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00045788895290057083,
+      "loss": 5.4129,
+      "mean_token_accuracy": 0.16788192689418793,
+      "num_tokens": 5812089.0,
+      "step": 3190
+    },
+    {
+      "entropy": 5.6802209377288815,
+      "epoch": 2.6470588235294117,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00045770263106741137,
+      "loss": 5.5784,
+      "mean_token_accuracy": 0.1578851893544197,
+      "num_tokens": 5821072.0,
+      "step": 3195
+    },
+    {
+      "entropy": 5.628516340255738,
+      "epoch": 2.651201325600663,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004575159407030797,
+      "loss": 5.4029,
+      "mean_token_accuracy": 0.16388181746006011,
+      "num_tokens": 5829725.0,
+      "step": 3200
+    },
+    {
+      "entropy": 5.500157403945923,
+      "epoch": 2.655343827671914,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004573288821841505,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16496249735355378,
+      "num_tokens": 5838153.0,
+      "step": 3205
+    },
+    {
+      "entropy": 5.616616106033325,
+      "epoch": 2.659486329743165,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004571414558879413,
+      "loss": 5.4409,
+      "mean_token_accuracy": 0.15448423773050307,
+      "num_tokens": 5847270.0,
+      "step": 3210
+    },
+    {
+      "entropy": 5.6490891456604,
+      "epoch": 2.6636288318144157,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004569536621925114,
+      "loss": 5.5472,
+      "mean_token_accuracy": 0.15474478006362916,
+      "num_tokens": 5855954.0,
+      "step": 3215
+    },
+    {
+      "entropy": 5.634416961669922,
+      "epoch": 2.667771333885667,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004567655014766612,
+      "loss": 5.4529,
+      "mean_token_accuracy": 0.16163208782672883,
+      "num_tokens": 5864435.0,
+      "step": 3220
+    },
+    {
+      "entropy": 5.624909925460815,
+      "epoch": 2.671913835956918,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004565769741199314,
+      "loss": 5.5135,
+      "mean_token_accuracy": 0.1572384186089039,
+      "num_tokens": 5873964.0,
+      "step": 3225
+    },
+    {
+      "entropy": 5.727962255477905,
+      "epoch": 2.676056338028169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045638808050260237,
+      "loss": 5.4648,
+      "mean_token_accuracy": 0.16628578454256057,
+      "num_tokens": 5882738.0,
+      "step": 3230
+    },
+    {
+      "entropy": 5.587652635574341,
+      "epoch": 2.68019884009942,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00045619882100569317,
+      "loss": 5.5925,
+      "mean_token_accuracy": 0.15854242593050002,
+      "num_tokens": 5891749.0,
+      "step": 3235
+    },
+    {
+      "entropy": 5.627515649795532,
+      "epoch": 2.684341342170671,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004560091960109608,
+      "loss": 5.5372,
+      "mean_token_accuracy": 0.15811603218317033,
+      "num_tokens": 5900551.0,
+      "step": 3240
+    },
+    {
+      "entropy": 5.661735343933105,
+      "epoch": 2.6884838442419223,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004558192059008996,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.1517203629016876,
+      "num_tokens": 5909254.0,
+      "step": 3245
+    },
+    {
+      "entropy": 5.599635648727417,
+      "epoch": 2.692626346313173,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004556288510587406,
+      "loss": 5.4987,
+      "mean_token_accuracy": 0.15817683488130568,
+      "num_tokens": 5918357.0,
+      "step": 3250
+    },
+    {
+      "entropy": 5.662895679473877,
+      "epoch": 2.696768848384424,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00045543813186845004,
+      "loss": 5.5021,
+      "mean_token_accuracy": 0.15579704195261002,
+      "num_tokens": 5927742.0,
+      "step": 3255
+    },
+    {
+      "entropy": 5.627440690994263,
+      "epoch": 2.700911350455675,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004552470487147294,
+      "loss": 5.5823,
+      "mean_token_accuracy": 0.1556493915617466,
+      "num_tokens": 5937025.0,
+      "step": 3260
+    },
+    {
+      "entropy": 5.70678014755249,
+      "epoch": 2.7050538525269263,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045505560198301443,
+      "loss": 5.5615,
+      "mean_token_accuracy": 0.15135139375925064,
+      "num_tokens": 5946176.0,
+      "step": 3265
+    },
+    {
+      "entropy": 5.659924745559692,
+      "epoch": 2.7091963545981774,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045486379205947396,
+      "loss": 5.5233,
+      "mean_token_accuracy": 0.1584411159157753,
+      "num_tokens": 5955550.0,
+      "step": 3270
+    },
+    {
+      "entropy": 5.594695281982422,
+      "epoch": 2.713338856669428,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004546716193310098,
+      "loss": 5.4541,
+      "mean_token_accuracy": 0.1651945412158966,
+      "num_tokens": 5964467.0,
+      "step": 3275
+    },
+    {
+      "entropy": 5.605531787872314,
+      "epoch": 2.717481358740679,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000454479084185255,
+      "loss": 5.4855,
+      "mean_token_accuracy": 0.1514287754893303,
+      "num_tokens": 5973906.0,
+      "step": 3280
+    },
+    {
+      "entropy": 5.696796035766601,
+      "epoch": 2.7216238608119303,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004542861870105743,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.15694239139556884,
+      "num_tokens": 5983701.0,
+      "step": 3285
+    },
+    {
+      "entropy": 5.623150444030761,
+      "epoch": 2.7257663628831814,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045409292819606224,
+      "loss": 5.4971,
+      "mean_token_accuracy": 0.16068210303783417,
+      "num_tokens": 5993367.0,
+      "step": 3290
+    },
+    {
+      "entropy": 5.646857404708863,
+      "epoch": 2.7299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045389930813154297,
+      "loss": 5.4519,
+      "mean_token_accuracy": 0.16334805637598038,
+      "num_tokens": 6003752.0,
+      "step": 3295
+    },
+    {
+      "entropy": 5.675233459472656,
+      "epoch": 2.7340513670256836,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004537053272075693,
+      "loss": 5.5263,
+      "mean_token_accuracy": 0.1621565416455269,
+      "num_tokens": 6012486.0,
+      "step": 3300
+    },
+    {
+      "entropy": 5.5136041164398195,
+      "epoch": 2.7381938690969347,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045351098581542204,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.163838130235672,
+      "num_tokens": 6020742.0,
+      "step": 3305
+    },
+    {
+      "entropy": 5.646917295455933,
+      "epoch": 2.742336371168186,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004533162843471089,
+      "loss": 5.5009,
+      "mean_token_accuracy": 0.15474170595407485,
+      "num_tokens": 6030248.0,
+      "step": 3310
+    },
+    {
+      "entropy": 5.632185411453247,
+      "epoch": 2.7464788732394365,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004531212231953641,
+      "loss": 5.5436,
+      "mean_token_accuracy": 0.15157791674137117,
+      "num_tokens": 6039293.0,
+      "step": 3315
+    },
+    {
+      "entropy": 5.587828540802002,
+      "epoch": 2.7506213753106876,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004529258027536473,
+      "loss": 5.4134,
+      "mean_token_accuracy": 0.16378402560949326,
+      "num_tokens": 6048081.0,
+      "step": 3320
+    },
+    {
+      "entropy": 5.673684549331665,
+      "epoch": 2.7547638773819387,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004527300234161428,
+      "loss": 5.5753,
+      "mean_token_accuracy": 0.15969255268573762,
+      "num_tokens": 6057549.0,
+      "step": 3325
+    },
+    {
+      "entropy": 5.646554040908813,
+      "epoch": 2.75890637945319,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004525338855777591,
+      "loss": 5.5589,
+      "mean_token_accuracy": 0.15469738617539405,
+      "num_tokens": 6067372.0,
+      "step": 3330
+    },
+    {
+      "entropy": 5.595069122314453,
+      "epoch": 2.7630488815244405,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045233738963412746,
+      "loss": 5.4181,
+      "mean_token_accuracy": 0.1717814713716507,
+      "num_tokens": 6075532.0,
+      "step": 3335
+    },
+    {
+      "entropy": 5.5924467086792,
+      "epoch": 2.7671913835956916,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045214053598160173,
+      "loss": 5.4439,
+      "mean_token_accuracy": 0.16404369622468948,
+      "num_tokens": 6084389.0,
+      "step": 3340
+    },
+    {
+      "entropy": 5.598109579086303,
+      "epoch": 2.7713338856669427,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045194332501725725,
+      "loss": 5.4706,
+      "mean_token_accuracy": 0.16428767740726472,
+      "num_tokens": 6093536.0,
+      "step": 3345
+    },
+    {
+      "entropy": 5.637304496765137,
+      "epoch": 2.775476387738194,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00045174575713889014,
+      "loss": 5.5167,
+      "mean_token_accuracy": 0.16573925465345382,
+      "num_tokens": 6102677.0,
+      "step": 3350
+    },
+    {
+      "entropy": 5.677533674240112,
+      "epoch": 2.779618889809445,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004515478327450164,
+      "loss": 5.5926,
+      "mean_token_accuracy": 0.156404609978199,
+      "num_tokens": 6112430.0,
+      "step": 3355
+    },
+    {
+      "entropy": 5.643227863311767,
+      "epoch": 2.783761391880696,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00045134955223487093,
+      "loss": 5.4889,
+      "mean_token_accuracy": 0.16630716919898986,
+      "num_tokens": 6121408.0,
+      "step": 3360
+    },
+    {
+      "entropy": 5.57972674369812,
+      "epoch": 2.787903893951947,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00045115091600840757,
+      "loss": 5.5188,
+      "mean_token_accuracy": 0.15800442099571227,
+      "num_tokens": 6131339.0,
+      "step": 3365
+    },
+    {
+      "entropy": 5.624274778366089,
+      "epoch": 2.7920463960231983,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00045095192446629697,
+      "loss": 5.4816,
+      "mean_token_accuracy": 0.16174803227186202,
+      "num_tokens": 6140590.0,
+      "step": 3370
+    },
+    {
+      "entropy": 5.704814815521241,
+      "epoch": 2.796188898094449,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000450752578009927,
+      "loss": 5.5621,
+      "mean_token_accuracy": 0.1653067871928215,
+      "num_tokens": 6149958.0,
+      "step": 3375
+    },
+    {
+      "entropy": 5.58657054901123,
+      "epoch": 2.8003314001657,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045055287704140115,
+      "loss": 5.4346,
+      "mean_token_accuracy": 0.15949429720640182,
+      "num_tokens": 6159411.0,
+      "step": 3380
+    },
+    {
+      "entropy": 5.595387983322143,
+      "epoch": 2.804473902236951,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004503528219635381,
+      "loss": 5.5138,
+      "mean_token_accuracy": 0.1545591250061989,
+      "num_tokens": 6169264.0,
+      "step": 3385
+    },
+    {
+      "entropy": 5.617677021026611,
+      "epoch": 2.8086164043082023,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004501524131798709,
+      "loss": 5.4826,
+      "mean_token_accuracy": 0.16332829892635345,
+      "num_tokens": 6178374.0,
+      "step": 3390
+    },
+    {
+      "entropy": 5.7183191776275635,
+      "epoch": 2.812758906379453,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000449951651094646,
+      "loss": 5.4697,
+      "mean_token_accuracy": 0.15537519603967667,
+      "num_tokens": 6186918.0,
+      "step": 3395
+    },
+    {
+      "entropy": 5.566522169113159,
+      "epoch": 2.816901408450704,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044975053611282217,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.1613329365849495,
+      "num_tokens": 6196400.0,
+      "step": 3400
+    },
+    {
+      "entropy": 5.514105558395386,
+      "epoch": 2.821043910521955,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004495490686400706,
+      "loss": 5.3941,
+      "mean_token_accuracy": 0.1649619847536087,
+      "num_tokens": 6204849.0,
+      "step": 3405
+    },
+    {
+      "entropy": 5.615210485458374,
+      "epoch": 2.8251864125932062,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00044934724908277313,
+      "loss": 5.4834,
+      "mean_token_accuracy": 0.16362717300653457,
+      "num_tokens": 6214121.0,
+      "step": 3410
+    },
+    {
+      "entropy": 5.654720067977905,
+      "epoch": 2.8293289146644574,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044914507784802184,
+      "loss": 5.4835,
+      "mean_token_accuracy": 0.16509974151849746,
+      "num_tokens": 6223163.0,
+      "step": 3415
+    },
+    {
+      "entropy": 5.641624307632446,
+      "epoch": 2.8334714167357085,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004489425553436182,
+      "loss": 5.5084,
+      "mean_token_accuracy": 0.15882937759160995,
+      "num_tokens": 6231581.0,
+      "step": 3420
+    },
+    {
+      "entropy": 5.659383153915405,
+      "epoch": 2.8376139188069596,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00044873968197807213,
+      "loss": 5.5838,
+      "mean_token_accuracy": 0.1599879801273346,
+      "num_tokens": 6240015.0,
+      "step": 3425
+    },
+    {
+      "entropy": 5.666435050964355,
+      "epoch": 2.8417564208782107,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044853645816060156,
+      "loss": 5.5979,
+      "mean_token_accuracy": 0.1532062940299511,
+      "num_tokens": 6249083.0,
+      "step": 3430
+    },
+    {
+      "entropy": 5.6627098560333256,
+      "epoch": 2.8458989229494613,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00044833288430113104,
+      "loss": 5.5496,
+      "mean_token_accuracy": 0.1654196172952652,
+      "num_tokens": 6258798.0,
+      "step": 3435
+    },
+    {
+      "entropy": 5.609176588058472,
+      "epoch": 2.8500414250207124,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00044812896081029136,
+      "loss": 5.4023,
+      "mean_token_accuracy": 0.16617698073387147,
+      "num_tokens": 6267819.0,
+      "step": 3440
+    },
+    {
+      "entropy": 5.626215600967408,
+      "epoch": 2.8541839270919636,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004479246880994183,
+      "loss": 5.4804,
+      "mean_token_accuracy": 0.15876610353589057,
+      "num_tokens": 6276915.0,
+      "step": 3445
+    },
+    {
+      "entropy": 5.627827167510986,
+      "epoch": 2.8583264291632147,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004477200665805525,
+      "loss": 5.5216,
+      "mean_token_accuracy": 0.15861138105392455,
+      "num_tokens": 6285880.0,
+      "step": 3450
+    },
+    {
+      "entropy": 5.6323963642120365,
+      "epoch": 2.8624689312344658,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00044751509666643777,
+      "loss": 5.6351,
+      "mean_token_accuracy": 0.14970673844218255,
+      "num_tokens": 6295408.0,
+      "step": 3455
+    },
+    {
+      "entropy": 5.6166990280151365,
+      "epoch": 2.8666114333057164,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044730977877052084,
+      "loss": 5.3753,
+      "mean_token_accuracy": 0.16562075018882752,
+      "num_tokens": 6304110.0,
+      "step": 3460
+    },
+    {
+      "entropy": 5.669659185409546,
+      "epoch": 2.8707539353769675,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00044710411330695045,
+      "loss": 5.5254,
+      "mean_token_accuracy": 0.15842530727386475,
+      "num_tokens": 6312577.0,
+      "step": 3465
+    },
+    {
+      "entropy": 5.738371801376343,
+      "epoch": 2.8748964374482187,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00044689810069057615,
+      "loss": 5.606,
+      "mean_token_accuracy": 0.15023296922445298,
+      "num_tokens": 6321766.0,
+      "step": 3470
+    },
+    {
+      "entropy": 5.642851161956787,
+      "epoch": 2.8790389395194698,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004466917413369479,
+      "loss": 5.5731,
+      "mean_token_accuracy": 0.151870658993721,
+      "num_tokens": 6330327.0,
+      "step": 3475
+    },
+    {
+      "entropy": 5.577242517471314,
+      "epoch": 2.883181441590721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004464850356623152,
+      "loss": 5.4926,
+      "mean_token_accuracy": 0.16011006087064744,
+      "num_tokens": 6339596.0,
+      "step": 3480
+    },
+    {
+      "entropy": 5.613158226013184,
+      "epoch": 2.887323943661972,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00044627798408362597,
+      "loss": 5.3986,
+      "mean_token_accuracy": 0.1670537531375885,
+      "num_tokens": 6348080.0,
+      "step": 3485
+    },
+    {
+      "entropy": 5.613135099411011,
+      "epoch": 2.891466445733223,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004460705870185258,
+      "loss": 5.5277,
+      "mean_token_accuracy": 0.15435466170310974,
+      "num_tokens": 6357725.0,
+      "step": 3490
+    },
+    {
+      "entropy": 5.627930736541748,
+      "epoch": 2.8956089478044738,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004458628448853572,
+      "loss": 5.4831,
+      "mean_token_accuracy": 0.16073092967271804,
+      "num_tokens": 6366821.0,
+      "step": 3495
+    },
+    {
+      "entropy": 5.729347085952758,
+      "epoch": 2.899751449875725,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004456547581031589,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.15560299083590506,
+      "num_tokens": 6375641.0,
+      "step": 3500
+    },
+    {
+      "epoch": 2.899751449875725,
+      "eval_entropy": 5.414937326394673,
+      "eval_loss": 5.899942874908447,
+      "eval_mean_token_accuracy": 0.15183768343569629,
+      "eval_num_tokens": 6375641.0,
+      "eval_runtime": 2.9583,
+      "eval_samples_per_second": 1266.605,
+      "eval_steps_per_second": 158.537,
+      "step": 3500
+    },
+    {
+      "entropy": 5.548971128463745,
+      "epoch": 2.903893951946976,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004454463270916646,
+      "loss": 5.404,
+      "mean_token_accuracy": 0.1680065542459488,
+      "num_tokens": 6384596.0,
+      "step": 3505
+    },
+    {
+      "entropy": 5.719941425323486,
+      "epoch": 2.908036454018227,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004452375522713023,
+      "loss": 5.7474,
+      "mean_token_accuracy": 0.14030246064066887,
+      "num_tokens": 6395048.0,
+      "step": 3510
+    },
+    {
+      "entropy": 5.643452119827271,
+      "epoch": 2.912178956089478,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004450284340631938,
+      "loss": 5.5762,
+      "mean_token_accuracy": 0.15520212948322296,
+      "num_tokens": 6404828.0,
+      "step": 3515
+    },
+    {
+      "entropy": 5.627139854431152,
+      "epoch": 2.916321458160729,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044481897288915334,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.16042221039533616,
+      "num_tokens": 6414670.0,
+      "step": 3520
+    },
+    {
+      "entropy": 5.474701166152954,
+      "epoch": 2.92046396023198,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044460916917168697,
+      "loss": 5.3896,
+      "mean_token_accuracy": 0.16453512459993364,
+      "num_tokens": 6423446.0,
+      "step": 3525
+    },
+    {
+      "entropy": 5.5396312236785885,
+      "epoch": 2.924606462303231,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004443990233339918,
+      "loss": 5.4655,
+      "mean_token_accuracy": 0.1552535504102707,
+      "num_tokens": 6433412.0,
+      "step": 3530
+    },
+    {
+      "entropy": 5.652051544189453,
+      "epoch": 2.928748964374482,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004441885357999548,
+      "loss": 5.444,
+      "mean_token_accuracy": 0.1643453508615494,
+      "num_tokens": 6443520.0,
+      "step": 3535
+    },
+    {
+      "entropy": 5.674185514450073,
+      "epoch": 2.9328914664457333,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004439777069941524,
+      "loss": 5.5527,
+      "mean_token_accuracy": 0.15431721061468123,
+      "num_tokens": 6452933.0,
+      "step": 3540
+    },
+    {
+      "entropy": 5.550513553619385,
+      "epoch": 2.9370339685169844,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044376653734184935,
+      "loss": 5.3908,
+      "mean_token_accuracy": 0.16788479536771775,
+      "num_tokens": 6462113.0,
+      "step": 3545
+    },
+    {
+      "entropy": 5.468146800994873,
+      "epoch": 2.9411764705882355,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004435550272689979,
+      "loss": 5.4246,
+      "mean_token_accuracy": 0.16583772748708725,
+      "num_tokens": 6471411.0,
+      "step": 3550
+    },
+    {
+      "entropy": 5.662385082244873,
+      "epoch": 2.945318972659486,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00044334317720223706,
+      "loss": 5.532,
+      "mean_token_accuracy": 0.1599032275378704,
+      "num_tokens": 6480682.0,
+      "step": 3555
+    },
+    {
+      "entropy": 5.678339672088623,
+      "epoch": 2.9494614747307373,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00044313098756889154,
+      "loss": 5.5754,
+      "mean_token_accuracy": 0.15587076246738435,
+      "num_tokens": 6490614.0,
+      "step": 3560
+    },
+    {
+      "entropy": 5.585533094406128,
+      "epoch": 2.9536039768019884,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004429184587969708,
+      "loss": 5.4273,
+      "mean_token_accuracy": 0.16405707746744155,
+      "num_tokens": 6499079.0,
+      "step": 3565
+    },
+    {
+      "entropy": 5.668995666503906,
+      "epoch": 2.9577464788732395,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004427055913151689,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.14727827310562133,
+      "num_tokens": 6508556.0,
+      "step": 3570
+    },
+    {
+      "entropy": 5.70610499382019,
+      "epoch": 2.9618889809444906,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004424923855528626,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.15901169627904893,
+      "num_tokens": 6517934.0,
+      "step": 3575
+    },
+    {
+      "entropy": 5.614701509475708,
+      "epoch": 2.9660314830157413,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004422788419401114,
+      "loss": 5.4321,
+      "mean_token_accuracy": 0.1702651560306549,
+      "num_tokens": 6526995.0,
+      "step": 3580
+    },
+    {
+      "entropy": 5.572284936904907,
+      "epoch": 2.9701739850869924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00044206496090765595,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1573972523212433,
+      "num_tokens": 6535264.0,
+      "step": 3585
+    },
+    {
+      "entropy": 5.610080623626709,
+      "epoch": 2.9743164871582435,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00044185074288691776,
+      "loss": 5.3994,
+      "mean_token_accuracy": 0.1746336281299591,
+      "num_tokens": 6544498.0,
+      "step": 3590
+    },
+    {
+      "entropy": 5.582769393920898,
+      "epoch": 2.9784589892294946,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044163618830999794,
+      "loss": 5.5098,
+      "mean_token_accuracy": 0.16030704230070114,
+      "num_tokens": 6554761.0,
+      "step": 3595
+    },
+    {
+      "entropy": 5.603819417953491,
+      "epoch": 2.9826014913007457,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044142129760967643,
+      "loss": 5.5614,
+      "mean_token_accuracy": 0.15714355707168579,
+      "num_tokens": 6564039.0,
+      "step": 3600
+    },
+    {
+      "entropy": 5.679829835891724,
+      "epoch": 2.986743993371997,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004412060712194115,
+      "loss": 5.5068,
+      "mean_token_accuracy": 0.15993095487356185,
+      "num_tokens": 6572559.0,
+      "step": 3605
+    },
+    {
+      "entropy": 5.589264869689941,
+      "epoch": 2.990886495443248,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004409905095733381,
+      "loss": 5.4931,
+      "mean_token_accuracy": 0.1612076446413994,
+      "num_tokens": 6581621.0,
+      "step": 3610
+    },
+    {
+      "entropy": 5.550649166107178,
+      "epoch": 2.995028997514499,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00044077461310626764,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.15403861105442046,
+      "num_tokens": 6590353.0,
+      "step": 3615
+    },
+    {
+      "entropy": 5.64892258644104,
+      "epoch": 2.9991714995857497,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000440558382253687,
+      "loss": 5.4575,
+      "mean_token_accuracy": 0.16497674435377122,
+      "num_tokens": 6598822.0,
+      "step": 3620
+    },
+    {
+      "entropy": 5.5967165470123295,
+      "epoch": 3.003314001657001,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004403418174517573,
+      "loss": 5.2529,
+      "mean_token_accuracy": 0.16683556884527206,
+      "num_tokens": 6606728.0,
+      "step": 3625
+    },
+    {
+      "entropy": 5.599476623535156,
+      "epoch": 3.007456503728252,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044012491913731353,
+      "loss": 5.1756,
+      "mean_token_accuracy": 0.1743481546640396,
+      "num_tokens": 6616226.0,
+      "step": 3630
+    },
+    {
+      "entropy": 5.5095573425292965,
+      "epoch": 3.011599005799503,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004399076877478632,
+      "loss": 5.0266,
+      "mean_token_accuracy": 0.1868550017476082,
+      "num_tokens": 6624801.0,
+      "step": 3635
+    },
+    {
+      "entropy": 5.60879430770874,
+      "epoch": 3.015741507870754,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004396901237215858,
+      "loss": 5.2209,
+      "mean_token_accuracy": 0.16688485741615294,
+      "num_tokens": 6633043.0,
+      "step": 3640
+    },
+    {
+      "entropy": 5.538025426864624,
+      "epoch": 3.019884009942005,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043947222749733173,
+      "loss": 5.1692,
+      "mean_token_accuracy": 0.17499702274799347,
+      "num_tokens": 6641197.0,
+      "step": 3645
+    },
+    {
+      "entropy": 5.586767101287842,
+      "epoch": 3.024026512013256,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043925399951462153,
+      "loss": 5.2064,
+      "mean_token_accuracy": 0.1801098555326462,
+      "num_tokens": 6650411.0,
+      "step": 3650
+    },
+    {
+      "entropy": 5.4191618919372555,
+      "epoch": 3.028169014084507,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004390354402136449,
+      "loss": 5.0903,
+      "mean_token_accuracy": 0.17804521024227143,
+      "num_tokens": 6659405.0,
+      "step": 3655
+    },
+    {
+      "entropy": 5.583788824081421,
+      "epoch": 3.032311516155758,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0004388165500352597,
+      "loss": 5.1642,
+      "mean_token_accuracy": 0.17557908743619918,
+      "num_tokens": 6667701.0,
+      "step": 3660
+    },
+    {
+      "entropy": 5.614604902267456,
+      "epoch": 3.036454018227009,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004385973294209915,
+      "loss": 5.1881,
+      "mean_token_accuracy": 0.17808027267456056,
+      "num_tokens": 6676801.0,
+      "step": 3665
+    },
+    {
+      "entropy": 5.457578706741333,
+      "epoch": 3.0405965202982603,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004383777788130321,
+      "loss": 5.083,
+      "mean_token_accuracy": 0.17836775481700898,
+      "num_tokens": 6686005.0,
+      "step": 3670
+    },
+    {
+      "entropy": 5.479088068008423,
+      "epoch": 3.044739022369511,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004381578986542393,
+      "loss": 5.0937,
+      "mean_token_accuracy": 0.17960153371095658,
+      "num_tokens": 6694884.0,
+      "step": 3675
+    },
+    {
+      "entropy": 5.501745700836182,
+      "epoch": 3.048881524440762,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004379376893881352,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.17827630788087845,
+      "num_tokens": 6703476.0,
+      "step": 3680
+    },
+    {
+      "entropy": 5.616245269775391,
+      "epoch": 3.053024026512013,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004377171514589059,
+      "loss": 5.2531,
+      "mean_token_accuracy": 0.1736731931567192,
+      "num_tokens": 6712576.0,
+      "step": 3685
+    },
+    {
+      "entropy": 5.398316955566406,
+      "epoch": 3.0571665285832643,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004374962853114007,
+      "loss": 5.0545,
+      "mean_token_accuracy": 0.18062082678079605,
+      "num_tokens": 6721532.0,
+      "step": 3690
+    },
+    {
+      "entropy": 5.480774354934693,
+      "epoch": 3.0613090306545154,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004372750913911306,
+      "loss": 5.1028,
+      "mean_token_accuracy": 0.18300070911645888,
+      "num_tokens": 6730055.0,
+      "step": 3695
+    },
+    {
+      "entropy": 5.446919918060303,
+      "epoch": 3.0654515327257665,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004370535701442679,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.17969694286584853,
+      "num_tokens": 6739310.0,
+      "step": 3700
+    },
+    {
+      "entropy": 5.54828953742981,
+      "epoch": 3.069594034797017,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043683172201764537,
+      "loss": 5.2581,
+      "mean_token_accuracy": 0.16716694980859756,
+      "num_tokens": 6748976.0,
+      "step": 3705
+    },
+    {
+      "entropy": 5.539231872558593,
+      "epoch": 3.0737365368682683,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004366095474587547,
+      "loss": 5.1044,
+      "mean_token_accuracy": 0.17598106861114501,
+      "num_tokens": 6758043.0,
+      "step": 3710
+    },
+    {
+      "entropy": 5.500854778289795,
+      "epoch": 3.0778790389395194,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00043638704691574646,
+      "loss": 5.163,
+      "mean_token_accuracy": 0.1786232903599739,
+      "num_tokens": 6767554.0,
+      "step": 3715
+    },
+    {
+      "entropy": 5.560473966598511,
+      "epoch": 3.0820215410107705,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004361642208374283,
+      "loss": 5.1882,
+      "mean_token_accuracy": 0.1666739672422409,
+      "num_tokens": 6776161.0,
+      "step": 3720
+    },
+    {
+      "entropy": 5.476630401611328,
+      "epoch": 3.0861640430820216,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043594106967326495,
+      "loss": 5.1169,
+      "mean_token_accuracy": 0.17555084377527236,
+      "num_tokens": 6785371.0,
+      "step": 3725
+    },
+    {
+      "entropy": 5.494755983352661,
+      "epoch": 3.0903065451532727,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00043571759387337665,
+      "loss": 5.1456,
+      "mean_token_accuracy": 0.1808715656399727,
+      "num_tokens": 6795242.0,
+      "step": 3730
+    },
+    {
+      "entropy": 5.591760492324829,
+      "epoch": 3.0944490472245234,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004354937938885385,
+      "loss": 5.2235,
+      "mean_token_accuracy": 0.17338325083255768,
+      "num_tokens": 6805423.0,
+      "step": 3735
+    },
+    {
+      "entropy": 5.464981889724731,
+      "epoch": 3.0985915492957745,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004352696701701796,
+      "loss": 5.1469,
+      "mean_token_accuracy": 0.17880967408418655,
+      "num_tokens": 6814377.0,
+      "step": 3740
+    },
+    {
+      "entropy": 5.448660278320313,
+      "epoch": 3.1027340513670256,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004350452231703819,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.18132367432117463,
+      "num_tokens": 6824025.0,
+      "step": 3745
+    },
+    {
+      "entropy": 5.550149536132812,
+      "epoch": 3.1068765534382767,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043482045334187954,
+      "loss": 5.1273,
+      "mean_token_accuracy": 0.18649032860994338,
+      "num_tokens": 6833071.0,
+      "step": 3750
+    },
+    {
+      "entropy": 5.442513799667358,
+      "epoch": 3.111019055509528,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043459536113805785,
+      "loss": 5.1076,
+      "mean_token_accuracy": 0.17443138360977173,
+      "num_tokens": 6841983.0,
+      "step": 3755
+    },
+    {
+      "entropy": 5.447629022598266,
+      "epoch": 3.115161557580779,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00043436994701295237,
+      "loss": 5.1043,
+      "mean_token_accuracy": 0.17914267033338546,
+      "num_tokens": 6851436.0,
+      "step": 3760
+    },
+    {
+      "entropy": 5.461205101013183,
+      "epoch": 3.1193040596520296,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00043414421142124804,
+      "loss": 5.1836,
+      "mean_token_accuracy": 0.1672696813941002,
+      "num_tokens": 6861810.0,
+      "step": 3765
+    },
+    {
+      "entropy": 5.478553342819214,
+      "epoch": 3.1234465617232807,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00043391815481827814,
+      "loss": 5.0639,
+      "mean_token_accuracy": 0.18850475996732713,
+      "num_tokens": 6870418.0,
+      "step": 3770
+    },
+    {
+      "entropy": 5.41155161857605,
+      "epoch": 3.127589063794532,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004336917776600237,
+      "loss": 5.0683,
+      "mean_token_accuracy": 0.18221812546253205,
+      "num_tokens": 6879419.0,
+      "step": 3775
+    },
+    {
+      "entropy": 5.435874891281128,
+      "epoch": 3.131731565865783,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004334650804031122,
+      "loss": 5.1852,
+      "mean_token_accuracy": 0.17172302156686783,
+      "num_tokens": 6888768.0,
+      "step": 3780
+    },
+    {
+      "entropy": 5.507850646972656,
+      "epoch": 3.135874067937034,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004332380635048165,
+      "loss": 5.1296,
+      "mean_token_accuracy": 0.17900288552045823,
+      "num_tokens": 6897133.0,
+      "step": 3785
+    },
+    {
+      "entropy": 5.485491752624512,
+      "epoch": 3.140016570008285,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00043301072742305474,
+      "loss": 5.1773,
+      "mean_token_accuracy": 0.17168077528476716,
+      "num_tokens": 6904976.0,
+      "step": 3790
+    },
+    {
+      "entropy": 5.537312364578247,
+      "epoch": 3.1441590720795363,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0004327830726163886,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.17883574068546296,
+      "num_tokens": 6915138.0,
+      "step": 3795
+    },
+    {
+      "entropy": 5.548703718185425,
+      "epoch": 3.148301574150787,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0004325550995440226,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.1752033144235611,
+      "num_tokens": 6923962.0,
+      "step": 3800
+    },
+    {
+      "entropy": 5.386642169952393,
+      "epoch": 3.152444076222038,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043232680866580356,
+      "loss": 5.1478,
+      "mean_token_accuracy": 0.17952724993228913,
+      "num_tokens": 6932102.0,
+      "step": 3805
+    },
+    {
+      "entropy": 5.464086627960205,
+      "epoch": 3.156586578293289,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00043209820044221893,
+      "loss": 5.153,
+      "mean_token_accuracy": 0.1785269558429718,
+      "num_tokens": 6940354.0,
+      "step": 3810
+    },
+    {
+      "entropy": 5.4963922023773195,
+      "epoch": 3.1607290803645403,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00043186927533439654,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.1716633692383766,
+      "num_tokens": 6949779.0,
+      "step": 3815
+    },
+    {
+      "entropy": 5.536400413513183,
+      "epoch": 3.1648715824357914,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043164003380410335,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.17445194274187087,
+      "num_tokens": 6958760.0,
+      "step": 3820
+    },
+    {
+      "entropy": 5.486375331878662,
+      "epoch": 3.169014084507042,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004314104763137445,
+      "loss": 5.1037,
+      "mean_token_accuracy": 0.18134674280881882,
+      "num_tokens": 6967535.0,
+      "step": 3825
+    },
+    {
+      "entropy": 5.469356393814087,
+      "epoch": 3.173156586578293,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043118060332636264,
+      "loss": 5.2036,
+      "mean_token_accuracy": 0.17774708271026612,
+      "num_tokens": 6976211.0,
+      "step": 3830
+    },
+    {
+      "entropy": 5.576221227645874,
+      "epoch": 3.1772990886495442,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043095041530563665,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.17325948774814606,
+      "num_tokens": 6986001.0,
+      "step": 3835
+    },
+    {
+      "entropy": 5.420689487457276,
+      "epoch": 3.1814415907207954,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00043071991271588104,
+      "loss": 5.2006,
+      "mean_token_accuracy": 0.18302187621593474,
+      "num_tokens": 6994568.0,
+      "step": 3840
+    },
+    {
+      "entropy": 5.52434401512146,
+      "epoch": 3.1855840927920465,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004304890960220446,
+      "loss": 5.2921,
+      "mean_token_accuracy": 0.16869494169950486,
+      "num_tokens": 7004744.0,
+      "step": 3845
+    },
+    {
+      "entropy": 5.520354557037353,
+      "epoch": 3.1897265948632976,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043025796568970975,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.1696591019630432,
+      "num_tokens": 7014315.0,
+      "step": 3850
+    },
+    {
+      "entropy": 5.523347425460815,
+      "epoch": 3.1938690969345487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043002652218509184,
+      "loss": 5.1172,
+      "mean_token_accuracy": 0.18450311720371246,
+      "num_tokens": 7022258.0,
+      "step": 3855
+    },
+    {
+      "entropy": 5.522213459014893,
+      "epoch": 3.1980115990057993,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004297947659750376,
+      "loss": 5.2587,
+      "mean_token_accuracy": 0.1674624815583229,
+      "num_tokens": 7031732.0,
+      "step": 3860
+    },
+    {
+      "entropy": 5.467557621002197,
+      "epoch": 3.2021541010770505,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004295626975270246,
+      "loss": 5.1818,
+      "mean_token_accuracy": 0.1766605108976364,
+      "num_tokens": 7040478.0,
+      "step": 3865
+    },
+    {
+      "entropy": 5.490935039520264,
+      "epoch": 3.2062966031483016,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00042933031730916024,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.18396904766559602,
+      "num_tokens": 7049360.0,
+      "step": 3870
+    },
+    {
+      "entropy": 5.5688018798828125,
+      "epoch": 3.2104391052195527,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000429097625790181,
+      "loss": 5.2267,
+      "mean_token_accuracy": 0.17498258501291275,
+      "num_tokens": 7059271.0,
+      "step": 3875
+    },
+    {
+      "entropy": 5.398471450805664,
+      "epoch": 3.2145816072908038,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004288646234394508,
+      "loss": 5.2177,
+      "mean_token_accuracy": 0.17296054661273957,
+      "num_tokens": 7069038.0,
+      "step": 3880
+    },
+    {
+      "entropy": 5.5407984256744385,
+      "epoch": 3.218724109362055,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00042863131072696115,
+      "loss": 5.1617,
+      "mean_token_accuracy": 0.17704827934503556,
+      "num_tokens": 7077971.0,
+      "step": 3885
+    },
+    {
+      "entropy": 5.4559561252594,
+      "epoch": 3.2228666114333056,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00042839768812332905,
+      "loss": 5.1612,
+      "mean_token_accuracy": 0.17406544089317322,
+      "num_tokens": 7086821.0,
+      "step": 3890
+    },
+    {
+      "entropy": 5.419722366333008,
+      "epoch": 3.2270091135045567,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000428163756099797,
+      "loss": 5.1859,
+      "mean_token_accuracy": 0.17225482910871506,
+      "num_tokens": 7095407.0,
+      "step": 3895
+    },
+    {
+      "entropy": 5.48249921798706,
+      "epoch": 3.2311516155758078,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004279295151282314,
+      "loss": 5.1116,
+      "mean_token_accuracy": 0.18240531533956528,
+      "num_tokens": 7103964.0,
+      "step": 3900
+    },
+    {
+      "entropy": 5.564240264892578,
+      "epoch": 3.235294117647059,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004276949656811217,
+      "loss": 5.251,
+      "mean_token_accuracy": 0.17079487890005113,
+      "num_tokens": 7113571.0,
+      "step": 3905
+    },
+    {
+      "entropy": 5.522033739089966,
+      "epoch": 3.23943661971831,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00042746010823158006,
+      "loss": 5.2738,
+      "mean_token_accuracy": 0.17067040055990218,
+      "num_tokens": 7122844.0,
+      "step": 3910
+    },
+    {
+      "entropy": 5.4324219703674315,
+      "epoch": 3.243579121789561,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042722494325333945,
+      "loss": 5.1326,
+      "mean_token_accuracy": 0.176889306306839,
+      "num_tokens": 7132123.0,
+      "step": 3915
+    },
+    {
+      "entropy": 5.458636379241943,
+      "epoch": 3.2477216238608118,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004269894712207533,
+      "loss": 5.1819,
+      "mean_token_accuracy": 0.18051923513412477,
+      "num_tokens": 7141068.0,
+      "step": 3920
+    },
+    {
+      "entropy": 5.43212571144104,
+      "epoch": 3.251864125932063,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004267536926087947,
+      "loss": 5.1925,
+      "mean_token_accuracy": 0.1708641156554222,
+      "num_tokens": 7150829.0,
+      "step": 3925
+    },
+    {
+      "entropy": 5.458031702041626,
+      "epoch": 3.256006628003314,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004265176078930545,
+      "loss": 5.1703,
+      "mean_token_accuracy": 0.17345706522464752,
+      "num_tokens": 7160814.0,
+      "step": 3930
+    },
+    {
+      "entropy": 5.498150825500488,
+      "epoch": 3.260149130074565,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00042628121754974166,
+      "loss": 5.2634,
+      "mean_token_accuracy": 0.17203340232372283,
+      "num_tokens": 7170085.0,
+      "step": 3935
+    },
+    {
+      "entropy": 5.590339422225952,
+      "epoch": 3.264291632145816,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004260445220556811,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.1736685037612915,
+      "num_tokens": 7179366.0,
+      "step": 3940
+    },
+    {
+      "entropy": 5.52174072265625,
+      "epoch": 3.2684341342170673,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00042580752188831376,
+      "loss": 5.2819,
+      "mean_token_accuracy": 0.17067586481571198,
+      "num_tokens": 7188342.0,
+      "step": 3945
+    },
+    {
+      "entropy": 5.556540441513062,
+      "epoch": 3.272576636288318,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004255702175256946,
+      "loss": 5.3095,
+      "mean_token_accuracy": 0.17531315684318544,
+      "num_tokens": 7197466.0,
+      "step": 3950
+    },
+    {
+      "entropy": 5.42687840461731,
+      "epoch": 3.276719138359569,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00042533260944649273,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17852312475442886,
+      "num_tokens": 7205462.0,
+      "step": 3955
+    },
+    {
+      "entropy": 5.424286890029907,
+      "epoch": 3.28086164043082,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004250946981299893,
+      "loss": 5.1838,
+      "mean_token_accuracy": 0.17682615667581558,
+      "num_tokens": 7215115.0,
+      "step": 3960
+    },
+    {
+      "entropy": 5.459038209915161,
+      "epoch": 3.2850041425020713,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00042485648405607776,
+      "loss": 5.1379,
+      "mean_token_accuracy": 0.17029522657394408,
+      "num_tokens": 7224909.0,
+      "step": 3965
+    },
+    {
+      "entropy": 5.392039203643799,
+      "epoch": 3.2891466445733224,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004246179677052617,
+      "loss": 5.0642,
+      "mean_token_accuracy": 0.18698266595602037,
+      "num_tokens": 7232946.0,
+      "step": 3970
+    },
+    {
+      "entropy": 5.362467432022095,
+      "epoch": 3.2932891466445735,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004243791495586547,
+      "loss": 5.1736,
+      "mean_token_accuracy": 0.17996304631233215,
+      "num_tokens": 7241104.0,
+      "step": 3975
+    },
+    {
+      "entropy": 5.567073392868042,
+      "epoch": 3.297431648715824,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004241400300979791,
+      "loss": 5.2257,
+      "mean_token_accuracy": 0.1786801502108574,
+      "num_tokens": 7250749.0,
+      "step": 3980
+    },
+    {
+      "entropy": 5.447740983963013,
+      "epoch": 3.3015741507870753,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004239006098055651,
+      "loss": 5.124,
+      "mean_token_accuracy": 0.1787547677755356,
+      "num_tokens": 7258687.0,
+      "step": 3985
+    },
+    {
+      "entropy": 5.41381049156189,
+      "epoch": 3.3057166528583264,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004236608891643494,
+      "loss": 5.1572,
+      "mean_token_accuracy": 0.17702401280403138,
+      "num_tokens": 7267316.0,
+      "step": 3990
+    },
+    {
+      "entropy": 5.448715782165527,
+      "epoch": 3.3098591549295775,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004234208686578748,
+      "loss": 5.1777,
+      "mean_token_accuracy": 0.17505329996347427,
+      "num_tokens": 7276734.0,
+      "step": 3995
+    },
+    {
+      "entropy": 5.440592193603516,
+      "epoch": 3.3140016570008286,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00042318054877028876,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17840310037136078,
+      "num_tokens": 7285916.0,
+      "step": 4000
+    },
+    {
+      "epoch": 3.3140016570008286,
+      "eval_entropy": 5.363256025416002,
+      "eval_loss": 5.893955707550049,
+      "eval_mean_token_accuracy": 0.15349840453819935,
+      "eval_num_tokens": 7285916.0,
+      "eval_runtime": 2.7471,
+      "eval_samples_per_second": 1363.961,
+      "eval_steps_per_second": 170.723,
+      "step": 4000
+    },
+    {
+      "entropy": 5.487448406219483,
+      "epoch": 3.3181441590720797,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042293992998634314,
+      "loss": 5.1667,
+      "mean_token_accuracy": 0.17779863625764847,
+      "num_tokens": 7294184.0,
+      "step": 4005
+    },
+    {
+      "entropy": 5.414953899383545,
+      "epoch": 3.3222866611433304,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004226990127913918,
+      "loss": 5.177,
+      "mean_token_accuracy": 0.1768763244152069,
+      "num_tokens": 7302647.0,
+      "step": 4010
+    },
+    {
+      "entropy": 5.442982530593872,
+      "epoch": 3.3264291632145815,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004224577976713915,
+      "loss": 5.2506,
+      "mean_token_accuracy": 0.16832198798656464,
+      "num_tokens": 7311455.0,
+      "step": 4015
+    },
+    {
+      "entropy": 5.609448575973511,
+      "epoch": 3.3305716652858326,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00042221628511289927,
+      "loss": 5.3136,
+      "mean_token_accuracy": 0.16625809520483018,
+      "num_tokens": 7320978.0,
+      "step": 4020
+    },
+    {
+      "entropy": 5.612923622131348,
+      "epoch": 3.3347141673570837,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004219744756030723,
+      "loss": 5.3273,
+      "mean_token_accuracy": 0.16872513592243193,
+      "num_tokens": 7330202.0,
+      "step": 4025
+    },
+    {
+      "entropy": 5.4015247344970705,
+      "epoch": 3.338856669428335,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00042173236962966706,
+      "loss": 5.1649,
+      "mean_token_accuracy": 0.17969190180301667,
+      "num_tokens": 7339121.0,
+      "step": 4030
+    },
+    {
+      "entropy": 5.492907905578614,
+      "epoch": 3.342999171499586,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004214899676810375,
+      "loss": 5.2251,
+      "mean_token_accuracy": 0.1665240079164505,
+      "num_tokens": 7348631.0,
+      "step": 4035
+    },
+    {
+      "entropy": 5.469464063644409,
+      "epoch": 3.347141673570837,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004212472702461348,
+      "loss": 5.1843,
+      "mean_token_accuracy": 0.1820875510573387,
+      "num_tokens": 7358354.0,
+      "step": 4040
+    },
+    {
+      "entropy": 5.454071807861328,
+      "epoch": 3.3512841756420877,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004210042778145064,
+      "loss": 5.2038,
+      "mean_token_accuracy": 0.17285584658384323,
+      "num_tokens": 7367031.0,
+      "step": 4045
+    },
+    {
+      "entropy": 5.436822319030762,
+      "epoch": 3.355426677713339,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00042076099087629443,
+      "loss": 5.2025,
+      "mean_token_accuracy": 0.1784903883934021,
+      "num_tokens": 7375996.0,
+      "step": 4050
+    },
+    {
+      "entropy": 5.552537536621093,
+      "epoch": 3.35956917978459,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00042051740992223534,
+      "loss": 5.2567,
+      "mean_token_accuracy": 0.16439318358898164,
+      "num_tokens": 7385355.0,
+      "step": 4055
+    },
+    {
+      "entropy": 5.402252960205078,
+      "epoch": 3.363711681855841,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004202735354436586,
+      "loss": 5.0999,
+      "mean_token_accuracy": 0.1792566418647766,
+      "num_tokens": 7394384.0,
+      "step": 4060
+    },
+    {
+      "entropy": 5.511481237411499,
+      "epoch": 3.367854183927092,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00042002936793248546,
+      "loss": 5.2458,
+      "mean_token_accuracy": 0.1770971804857254,
+      "num_tokens": 7403141.0,
+      "step": 4065
+    },
+    {
+      "entropy": 5.508409786224365,
+      "epoch": 3.371996685998343,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004197849078812286,
+      "loss": 5.199,
+      "mean_token_accuracy": 0.1739865079522133,
+      "num_tokens": 7413331.0,
+      "step": 4070
+    },
+    {
+      "entropy": 5.471702003479004,
+      "epoch": 3.376139188069594,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004195401557829907,
+      "loss": 5.2368,
+      "mean_token_accuracy": 0.17052597552537918,
+      "num_tokens": 7422362.0,
+      "step": 4075
+    },
+    {
+      "entropy": 5.4563977241516115,
+      "epoch": 3.380281690140845,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041929511213146343,
+      "loss": 5.1661,
+      "mean_token_accuracy": 0.18033864200115204,
+      "num_tokens": 7431350.0,
+      "step": 4080
+    },
+    {
+      "entropy": 5.4815953254699705,
+      "epoch": 3.384424192212096,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004190497774209266,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.1800685152411461,
+      "num_tokens": 7440382.0,
+      "step": 4085
+    },
+    {
+      "entropy": 5.51438536643982,
+      "epoch": 3.3885666942833472,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00041880415214624715,
+      "loss": 5.2355,
+      "mean_token_accuracy": 0.17847414761781694,
+      "num_tokens": 7449357.0,
+      "step": 4090
+    },
+    {
+      "entropy": 5.463125705718994,
+      "epoch": 3.3927091963545983,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004185582368028781,
+      "loss": 5.1468,
+      "mean_token_accuracy": 0.1853232800960541,
+      "num_tokens": 7457544.0,
+      "step": 4095
+    },
+    {
+      "entropy": 5.409591102600098,
+      "epoch": 3.3968516984258494,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004183120318868577,
+      "loss": 5.1616,
+      "mean_token_accuracy": 0.18774343580007552,
+      "num_tokens": 7465915.0,
+      "step": 4100
+    },
+    {
+      "entropy": 5.435869741439819,
+      "epoch": 3.4009942004971,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00041806553789480787,
+      "loss": 5.1161,
+      "mean_token_accuracy": 0.1833360970020294,
+      "num_tokens": 7474551.0,
+      "step": 4105
+    },
+    {
+      "entropy": 5.507905626296997,
+      "epoch": 3.405136702568351,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00041781875532393423,
+      "loss": 5.2287,
+      "mean_token_accuracy": 0.17473389357328414,
+      "num_tokens": 7483271.0,
+      "step": 4110
+    },
+    {
+      "entropy": 5.474280261993409,
+      "epoch": 3.4092792046396023,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00041757168467202404,
+      "loss": 5.2371,
+      "mean_token_accuracy": 0.17051266878843307,
+      "num_tokens": 7493179.0,
+      "step": 4115
+    },
+    {
+      "entropy": 5.47375521659851,
+      "epoch": 3.4134217067108534,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00041732432643744576,
+      "loss": 5.2132,
+      "mean_token_accuracy": 0.17562344074249267,
+      "num_tokens": 7501858.0,
+      "step": 4120
+    },
+    {
+      "entropy": 5.562008953094482,
+      "epoch": 3.4175642087821045,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004170766811191481,
+      "loss": 5.282,
+      "mean_token_accuracy": 0.16895801872014998,
+      "num_tokens": 7511817.0,
+      "step": 4125
+    },
+    {
+      "entropy": 5.3949895858764645,
+      "epoch": 3.421706710853355,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.0004168287492166587,
+      "loss": 5.2513,
+      "mean_token_accuracy": 0.175115604698658,
+      "num_tokens": 7521655.0,
+      "step": 4130
+    },
+    {
+      "entropy": 5.478516006469727,
+      "epoch": 3.4258492129246063,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041658053123008325,
+      "loss": 5.2289,
+      "mean_token_accuracy": 0.17174260020256044,
+      "num_tokens": 7531321.0,
+      "step": 4135
+    },
+    {
+      "entropy": 5.469200515747071,
+      "epoch": 3.4299917149958574,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004163320276601046,
+      "loss": 5.2104,
+      "mean_token_accuracy": 0.17538849860429764,
+      "num_tokens": 7540613.0,
+      "step": 4140
+    },
+    {
+      "entropy": 5.478423690795898,
+      "epoch": 3.4341342170671085,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004160832390079816,
+      "loss": 5.2823,
+      "mean_token_accuracy": 0.17514234632253647,
+      "num_tokens": 7549598.0,
+      "step": 4145
+    },
+    {
+      "entropy": 5.449503993988037,
+      "epoch": 3.4382767191383596,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00041583416577554815,
+      "loss": 5.1509,
+      "mean_token_accuracy": 0.18169643133878707,
+      "num_tokens": 7558738.0,
+      "step": 4150
+    },
+    {
+      "entropy": 5.454873323440552,
+      "epoch": 3.4424192212096107,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041558480846521213,
+      "loss": 5.1996,
+      "mean_token_accuracy": 0.17627429366111755,
+      "num_tokens": 7566873.0,
+      "step": 4155
+    },
+    {
+      "entropy": 5.413073778152466,
+      "epoch": 3.446561723280862,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041533516757995455,
+      "loss": 5.18,
+      "mean_token_accuracy": 0.1794169783592224,
+      "num_tokens": 7576645.0,
+      "step": 4160
+    },
+    {
+      "entropy": 5.449489498138428,
+      "epoch": 3.4507042253521125,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004150852436233283,
+      "loss": 5.1844,
+      "mean_token_accuracy": 0.17338148206472398,
+      "num_tokens": 7584854.0,
+      "step": 4165
+    },
+    {
+      "entropy": 5.500524044036865,
+      "epoch": 3.4548467274233636,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004148350370994574,
+      "loss": 5.3142,
+      "mean_token_accuracy": 0.16781232208013536,
+      "num_tokens": 7594022.0,
+      "step": 4170
+    },
+    {
+      "entropy": 5.458495187759399,
+      "epoch": 3.4589892294946147,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004145845485130357,
+      "loss": 5.1757,
+      "mean_token_accuracy": 0.17461147904396057,
+      "num_tokens": 7603259.0,
+      "step": 4175
+    },
+    {
+      "entropy": 5.453242301940918,
+      "epoch": 3.463131731565866,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00041433377836932594,
+      "loss": 5.2853,
+      "mean_token_accuracy": 0.1680028423666954,
+      "num_tokens": 7613451.0,
+      "step": 4180
+    },
+    {
+      "entropy": 5.533868455886841,
+      "epoch": 3.467274233637117,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00041408272717415913,
+      "loss": 5.245,
+      "mean_token_accuracy": 0.17225596755743028,
+      "num_tokens": 7622218.0,
+      "step": 4185
+    },
+    {
+      "entropy": 5.351213121414185,
+      "epoch": 3.4714167357083676,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004138313954339327,
+      "loss": 5.104,
+      "mean_token_accuracy": 0.17463669180870056,
+      "num_tokens": 7630508.0,
+      "step": 4190
+    },
+    {
+      "entropy": 5.488496780395508,
+      "epoch": 3.4755592377796187,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004135797836556106,
+      "loss": 5.1982,
+      "mean_token_accuracy": 0.181541608273983,
+      "num_tokens": 7640141.0,
+      "step": 4195
+    },
+    {
+      "entropy": 5.459699392318726,
+      "epoch": 3.47970173985087,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041332789234672094,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1721531167626381,
+      "num_tokens": 7648764.0,
+      "step": 4200
+    },
+    {
+      "entropy": 5.406872129440307,
+      "epoch": 3.483844241922121,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004130757220153561,
+      "loss": 5.1952,
+      "mean_token_accuracy": 0.18173792064189911,
+      "num_tokens": 7658642.0,
+      "step": 4205
+    },
+    {
+      "entropy": 5.544135618209839,
+      "epoch": 3.487986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004128232731701712,
+      "loss": 5.377,
+      "mean_token_accuracy": 0.16519460082054138,
+      "num_tokens": 7667524.0,
+      "step": 4210
+    },
+    {
+      "entropy": 5.488169002532959,
+      "epoch": 3.492129246064623,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004125705463203833,
+      "loss": 5.1928,
+      "mean_token_accuracy": 0.18297115415334703,
+      "num_tokens": 7675800.0,
+      "step": 4215
+    },
+    {
+      "entropy": 5.490040969848633,
+      "epoch": 3.4962717481358743,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041231754197576986,
+      "loss": 5.2252,
+      "mean_token_accuracy": 0.1757526621222496,
+      "num_tokens": 7683742.0,
+      "step": 4220
+    },
+    {
+      "entropy": 5.468280076980591,
+      "epoch": 3.5004142502071254,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004120642606466685,
+      "loss": 5.2278,
+      "mean_token_accuracy": 0.1796238511800766,
+      "num_tokens": 7692379.0,
+      "step": 4225
+    },
+    {
+      "entropy": 5.494374942779541,
+      "epoch": 3.504556752278376,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004118107028439751,
+      "loss": 5.2138,
+      "mean_token_accuracy": 0.17588699012994766,
+      "num_tokens": 7702156.0,
+      "step": 4230
+    },
+    {
+      "entropy": 5.467664003372192,
+      "epoch": 3.508699254349627,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00041155686907914365,
+      "loss": 5.2275,
+      "mean_token_accuracy": 0.1754150867462158,
+      "num_tokens": 7712135.0,
+      "step": 4235
+    },
+    {
+      "entropy": 5.451332426071167,
+      "epoch": 3.5128417564208783,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004113027598641845,
+      "loss": 5.1785,
+      "mean_token_accuracy": 0.1752738744020462,
+      "num_tokens": 7721347.0,
+      "step": 4240
+    },
+    {
+      "entropy": 5.471200275421142,
+      "epoch": 3.5169842584921294,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004110483757116637,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.1789921909570694,
+      "num_tokens": 7731351.0,
+      "step": 4245
+    },
+    {
+      "entropy": 5.433224248886108,
+      "epoch": 3.52112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00041079371713470195,
+      "loss": 5.0996,
+      "mean_token_accuracy": 0.18778069019317628,
+      "num_tokens": 7740413.0,
+      "step": 4250
+    },
+    {
+      "entropy": 5.416608476638794,
+      "epoch": 3.525269262634631,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041053878464697343,
+      "loss": 5.1977,
+      "mean_token_accuracy": 0.18009850829839708,
+      "num_tokens": 7749319.0,
+      "step": 4255
+    },
+    {
+      "entropy": 5.519042015075684,
+      "epoch": 3.5294117647058822,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004102835787627047,
+      "loss": 5.2446,
+      "mean_token_accuracy": 0.17312991321086885,
+      "num_tokens": 7757936.0,
+      "step": 4260
+    },
+    {
+      "entropy": 5.542943048477173,
+      "epoch": 3.5335542667771334,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004100280999966741,
+      "loss": 5.3083,
+      "mean_token_accuracy": 0.17331433892250062,
+      "num_tokens": 7767349.0,
+      "step": 4265
+    },
+    {
+      "entropy": 5.4042651653289795,
+      "epoch": 3.5376967688483845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00040977234886421007,
+      "loss": 5.1133,
+      "mean_token_accuracy": 0.17731781899929047,
+      "num_tokens": 7776448.0,
+      "step": 4270
+    },
+    {
+      "entropy": 5.4222177028656,
+      "epoch": 3.5418392709196356,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040951632588119064,
+      "loss": 5.209,
+      "mean_token_accuracy": 0.17401482313871383,
+      "num_tokens": 7785768.0,
+      "step": 4275
+    },
+    {
+      "entropy": 5.600345802307129,
+      "epoch": 3.5459817729908867,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004092600315640422,
+      "loss": 5.2999,
+      "mean_token_accuracy": 0.1715576618909836,
+      "num_tokens": 7794803.0,
+      "step": 4280
+    },
+    {
+      "entropy": 5.411063814163208,
+      "epoch": 3.550124275062138,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004090034664297382,
+      "loss": 5.157,
+      "mean_token_accuracy": 0.17963247746229172,
+      "num_tokens": 7803533.0,
+      "step": 4285
+    },
+    {
+      "entropy": 5.421855831146241,
+      "epoch": 3.5542667771333885,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00040874663099579883,
+      "loss": 5.2246,
+      "mean_token_accuracy": 0.1706953912973404,
+      "num_tokens": 7812854.0,
+      "step": 4290
+    },
+    {
+      "entropy": 5.49954047203064,
+      "epoch": 3.5584092792046396,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040848952578028915,
+      "loss": 5.1628,
+      "mean_token_accuracy": 0.174958436191082,
+      "num_tokens": 7821683.0,
+      "step": 4295
+    },
+    {
+      "entropy": 5.501424264907837,
+      "epoch": 3.5625517812758907,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004082321513018183,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.18335361480712892,
+      "num_tokens": 7830967.0,
+      "step": 4300
+    },
+    {
+      "entropy": 5.48747296333313,
+      "epoch": 3.566694283347142,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00040797450807953897,
+      "loss": 5.2159,
+      "mean_token_accuracy": 0.17444179207086563,
+      "num_tokens": 7841179.0,
+      "step": 4305
+    },
+    {
+      "entropy": 5.489819192886353,
+      "epoch": 3.5708367854183924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004077165966331454,
+      "loss": 5.1587,
+      "mean_token_accuracy": 0.1852751389145851,
+      "num_tokens": 7849841.0,
+      "step": 4310
+    },
+    {
+      "entropy": 5.301797342300415,
+      "epoch": 3.5749792874896436,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004074584174828735,
+      "loss": 5.2184,
+      "mean_token_accuracy": 0.1747626096010208,
+      "num_tokens": 7859390.0,
+      "step": 4315
+    },
+    {
+      "entropy": 5.493851947784424,
+      "epoch": 3.5791217895608947,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040719997114949856,
+      "loss": 5.1913,
+      "mean_token_accuracy": 0.17565421015024185,
+      "num_tokens": 7868848.0,
+      "step": 4320
+    },
+    {
+      "entropy": 5.506833124160766,
+      "epoch": 3.5832642916321458,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040694125815433533,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.18058759868144988,
+      "num_tokens": 7877521.0,
+      "step": 4325
+    },
+    {
+      "entropy": 5.488465976715088,
+      "epoch": 3.587406793703397,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004066822790192359,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.17181889414787294,
+      "num_tokens": 7886355.0,
+      "step": 4330
+    },
+    {
+      "entropy": 5.437413024902344,
+      "epoch": 3.591549295774648,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00040642303426658967,
+      "loss": 5.2518,
+      "mean_token_accuracy": 0.17224401384592056,
+      "num_tokens": 7895028.0,
+      "step": 4335
+    },
+    {
+      "entropy": 5.379445266723633,
+      "epoch": 3.595691797845899,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040616352441932163,
+      "loss": 5.1282,
+      "mean_token_accuracy": 0.17695483118295668,
+      "num_tokens": 7904192.0,
+      "step": 4340
+    },
+    {
+      "entropy": 5.439553546905517,
+      "epoch": 3.59983429991715,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00040590375000089146,
+      "loss": 5.2066,
+      "mean_token_accuracy": 0.17032651007175445,
+      "num_tokens": 7912328.0,
+      "step": 4345
+    },
+    {
+      "entropy": 5.5121315002441404,
+      "epoch": 3.603976801988401,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00040564371153529256,
+      "loss": 5.2517,
+      "mean_token_accuracy": 0.1720314145088196,
+      "num_tokens": 7922594.0,
+      "step": 4350
+    },
+    {
+      "entropy": 5.450373315811158,
+      "epoch": 3.608119304059652,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004053834095470509,
+      "loss": 5.2201,
+      "mean_token_accuracy": 0.16222715824842454,
+      "num_tokens": 7932345.0,
+      "step": 4355
+    },
+    {
+      "entropy": 5.505369853973389,
+      "epoch": 3.612261806130903,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00040512284456122407,
+      "loss": 5.2236,
+      "mean_token_accuracy": 0.17660728394985198,
+      "num_tokens": 7942800.0,
+      "step": 4360
+    },
+    {
+      "entropy": 5.410261583328247,
+      "epoch": 3.616404308202154,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00040486201710340016,
+      "loss": 5.1287,
+      "mean_token_accuracy": 0.1859680861234665,
+      "num_tokens": 7951094.0,
+      "step": 4365
+    },
+    {
+      "entropy": 5.429905796051026,
+      "epoch": 3.6205468102734053,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040460092769969654,
+      "loss": 5.1947,
+      "mean_token_accuracy": 0.17089750617742538,
+      "num_tokens": 7960652.0,
+      "step": 4370
+    },
+    {
+      "entropy": 5.518308162689209,
+      "epoch": 3.624689312344656,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004043395768767592,
+      "loss": 5.2977,
+      "mean_token_accuracy": 0.16983983814716339,
+      "num_tokens": 7969350.0,
+      "step": 4375
+    },
+    {
+      "entropy": 5.475090789794922,
+      "epoch": 3.628831814415907,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004040779651617612,
+      "loss": 5.1831,
+      "mean_token_accuracy": 0.1762356474995613,
+      "num_tokens": 7978969.0,
+      "step": 4380
+    },
+    {
+      "entropy": 5.422111892700196,
+      "epoch": 3.632974316487158,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040381609308240207,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.1777448311448097,
+      "num_tokens": 7988531.0,
+      "step": 4385
+    },
+    {
+      "entropy": 5.423072242736817,
+      "epoch": 3.6371168185584093,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040355396116690634,
+      "loss": 5.1864,
+      "mean_token_accuracy": 0.17186058908700944,
+      "num_tokens": 7996576.0,
+      "step": 4390
+    },
+    {
+      "entropy": 5.435235500335693,
+      "epoch": 3.6412593206296604,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004032915699440227,
+      "loss": 5.2216,
+      "mean_token_accuracy": 0.17088689655065536,
+      "num_tokens": 8006279.0,
+      "step": 4395
+    },
+    {
+      "entropy": 5.496079921722412,
+      "epoch": 3.6454018227009115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000403028919943023,
+      "loss": 5.2049,
+      "mean_token_accuracy": 0.17314011603593826,
+      "num_tokens": 8015476.0,
+      "step": 4400
+    },
+    {
+      "entropy": 5.474205350875854,
+      "epoch": 3.6495443247721626,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004027660116937009,
+      "loss": 5.2326,
+      "mean_token_accuracy": 0.17077937126159667,
+      "num_tokens": 8025450.0,
+      "step": 4405
+    },
+    {
+      "entropy": 5.4402251720428465,
+      "epoch": 3.6536868268434133,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004025028457263712,
+      "loss": 5.2238,
+      "mean_token_accuracy": 0.17810273319482803,
+      "num_tokens": 8034850.0,
+      "step": 4410
+    },
+    {
+      "entropy": 5.3980237483978275,
+      "epoch": 3.6578293289146644,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004022394225718684,
+      "loss": 5.1709,
+      "mean_token_accuracy": 0.17368220686912536,
+      "num_tokens": 8044526.0,
+      "step": 4415
+    },
+    {
+      "entropy": 5.446775197982788,
+      "epoch": 3.6619718309859155,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004019757427615456,
+      "loss": 5.1341,
+      "mean_token_accuracy": 0.17317759096622468,
+      "num_tokens": 8054033.0,
+      "step": 4420
+    },
+    {
+      "entropy": 5.478370094299317,
+      "epoch": 3.6661143330571666,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0004017118068272739,
+      "loss": 5.2298,
+      "mean_token_accuracy": 0.17926038503646852,
+      "num_tokens": 8063535.0,
+      "step": 4425
+    },
+    {
+      "entropy": 5.495908880233765,
+      "epoch": 3.6702568351284177,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040144761530144096,
+      "loss": 5.2181,
+      "mean_token_accuracy": 0.18870080262422562,
+      "num_tokens": 8073079.0,
+      "step": 4430
+    },
+    {
+      "entropy": 5.367459678649903,
+      "epoch": 3.6743993371996684,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00040118316871695,
+      "loss": 5.1505,
+      "mean_token_accuracy": 0.18230827152729034,
+      "num_tokens": 8082925.0,
+      "step": 4435
+    },
+    {
+      "entropy": 5.457099437713623,
+      "epoch": 3.6785418392709195,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040091846760721857,
+      "loss": 5.2466,
+      "mean_token_accuracy": 0.17278454601764678,
+      "num_tokens": 8092038.0,
+      "step": 4440
+    },
+    {
+      "entropy": 5.460009002685547,
+      "epoch": 3.6826843413421706,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040065351250617774,
+      "loss": 5.2137,
+      "mean_token_accuracy": 0.1679331600666046,
+      "num_tokens": 8101581.0,
+      "step": 4445
+    },
+    {
+      "entropy": 5.392482471466065,
+      "epoch": 3.6868268434134217,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00040038830394827107,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.17032679468393325,
+      "num_tokens": 8111392.0,
+      "step": 4450
+    },
+    {
+      "entropy": 5.5369532108306885,
+      "epoch": 3.690969345484673,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000400122842468453,
+      "loss": 5.2742,
+      "mean_token_accuracy": 0.16916199624538422,
+      "num_tokens": 8120941.0,
+      "step": 4455
+    },
+    {
+      "entropy": 5.403111267089844,
+      "epoch": 3.695111847555924,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003998571286021884,
+      "loss": 5.1822,
+      "mean_token_accuracy": 0.1721450611948967,
+      "num_tokens": 8129983.0,
+      "step": 4460
+    },
+    {
+      "entropy": 5.482623481750489,
+      "epoch": 3.699254349627175,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003995911628854512,
+      "loss": 5.3064,
+      "mean_token_accuracy": 0.1740827202796936,
+      "num_tokens": 8139428.0,
+      "step": 4465
+    },
+    {
+      "entropy": 5.509563970565796,
+      "epoch": 3.7033968516984257,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003993249458547234,
+      "loss": 5.2302,
+      "mean_token_accuracy": 0.16980735808610917,
+      "num_tokens": 8148520.0,
+      "step": 4470
+    },
+    {
+      "entropy": 5.3746521949768065,
+      "epoch": 3.707539353769677,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039905847804699363,
+      "loss": 5.0676,
+      "mean_token_accuracy": 0.18766331672668457,
+      "num_tokens": 8156908.0,
+      "step": 4475
+    },
+    {
+      "entropy": 5.446433591842651,
+      "epoch": 3.711681855840928,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00039879175999975677,
+      "loss": 5.2156,
+      "mean_token_accuracy": 0.18001207262277602,
+      "num_tokens": 8165677.0,
+      "step": 4480
+    },
+    {
+      "entropy": 5.386814975738526,
+      "epoch": 3.715824357912179,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00039852479225101217,
+      "loss": 5.1883,
+      "mean_token_accuracy": 0.17356531620025634,
+      "num_tokens": 8174786.0,
+      "step": 4485
+    },
+    {
+      "entropy": 5.454575872421264,
+      "epoch": 3.71996685998343,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00039825757533926305,
+      "loss": 5.2484,
+      "mean_token_accuracy": 0.16340016275644303,
+      "num_tokens": 8184150.0,
+      "step": 4490
+    },
+    {
+      "entropy": 5.4400050163269045,
+      "epoch": 3.724109362054681,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039799010980351494,
+      "loss": 5.1455,
+      "mean_token_accuracy": 0.1879016414284706,
+      "num_tokens": 8192257.0,
+      "step": 4495
+    },
+    {
+      "entropy": 5.452324247360229,
+      "epoch": 3.728251864125932,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00039772239618327535,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.1748780906200409,
+      "num_tokens": 8201041.0,
+      "step": 4500
+    },
+    {
+      "epoch": 3.728251864125932,
+      "eval_entropy": 5.297962182620441,
+      "eval_loss": 5.854063987731934,
+      "eval_mean_token_accuracy": 0.15576711011085428,
+      "eval_num_tokens": 8201041.0,
+      "eval_runtime": 2.7449,
+      "eval_samples_per_second": 1365.057,
+      "eval_steps_per_second": 170.86,
+      "step": 4500
+    },
+    {
+      "entropy": 5.430630874633789,
+      "epoch": 3.732394366197183,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00039745443501855156,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18020173758268357,
+      "num_tokens": 8209881.0,
+      "step": 4505
+    },
+    {
+      "entropy": 5.426507759094238,
+      "epoch": 3.736536868268434,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039718622684985075,
+      "loss": 5.2198,
+      "mean_token_accuracy": 0.1857784554362297,
+      "num_tokens": 8218504.0,
+      "step": 4510
+    },
+    {
+      "entropy": 5.427436780929566,
+      "epoch": 3.7406793703396852,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000396917772218178,
+      "loss": 5.0397,
+      "mean_token_accuracy": 0.19483556151390075,
+      "num_tokens": 8226785.0,
+      "step": 4515
+    },
+    {
+      "entropy": 5.463036251068115,
+      "epoch": 3.7448218724109363,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0003966490716650357,
+      "loss": 5.1879,
+      "mean_token_accuracy": 0.1808652698993683,
+      "num_tokens": 8236092.0,
+      "step": 4520
+    },
+    {
+      "entropy": 5.398115777969361,
+      "epoch": 3.7489643744821874,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039638012573242225,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18426763266324997,
+      "num_tokens": 8245297.0,
+      "step": 4525
+    },
+    {
+      "entropy": 5.498414611816406,
+      "epoch": 3.7531068765534386,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003961109349628309,
+      "loss": 5.2544,
+      "mean_token_accuracy": 0.16994525790214537,
+      "num_tokens": 8254772.0,
+      "step": 4530
+    },
+    {
+      "entropy": 5.488787031173706,
+      "epoch": 3.757249378624689,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000395841499899249,
+      "loss": 5.3168,
+      "mean_token_accuracy": 0.1684611275792122,
+      "num_tokens": 8264310.0,
+      "step": 4535
+    },
+    {
+      "entropy": 5.4844201564788815,
+      "epoch": 3.7613918806959403,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00039557182108515624,
+      "loss": 5.2197,
+      "mean_token_accuracy": 0.1802253693342209,
+      "num_tokens": 8274184.0,
+      "step": 4540
+    },
+    {
+      "entropy": 5.40406289100647,
+      "epoch": 3.7655343827671914,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039530189906452457,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.18066346347332002,
+      "num_tokens": 8283151.0,
+      "step": 4545
+    },
+    {
+      "entropy": 5.490919494628907,
+      "epoch": 3.7696768848384425,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00039503173438181605,
+      "loss": 5.2375,
+      "mean_token_accuracy": 0.16958207488059998,
+      "num_tokens": 8292574.0,
+      "step": 4550
+    },
+    {
+      "entropy": 5.37688570022583,
+      "epoch": 3.773819386909693,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039476132758198236,
+      "loss": 5.1589,
+      "mean_token_accuracy": 0.17906700521707536,
+      "num_tokens": 8301281.0,
+      "step": 4555
+    },
+    {
+      "entropy": 5.404768991470337,
+      "epoch": 3.7779618889809443,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039449067921046353,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.184201979637146,
+      "num_tokens": 8310201.0,
+      "step": 4560
+    },
+    {
+      "entropy": 5.5153802871704105,
+      "epoch": 3.7821043910521954,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00039421978981318703,
+      "loss": 5.243,
+      "mean_token_accuracy": 0.17428653091192245,
+      "num_tokens": 8320369.0,
+      "step": 4565
+    },
+    {
+      "entropy": 5.490174674987793,
+      "epoch": 3.7862468931234465,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00039394865993656625,
+      "loss": 5.2332,
+      "mean_token_accuracy": 0.17829314470291138,
+      "num_tokens": 8329519.0,
+      "step": 4570
+    },
+    {
+      "entropy": 5.4183516025543215,
+      "epoch": 3.7903893951946976,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003936772901274999,
+      "loss": 5.2233,
+      "mean_token_accuracy": 0.16786337196826934,
+      "num_tokens": 8338282.0,
+      "step": 4575
+    },
+    {
+      "entropy": 5.422275066375732,
+      "epoch": 3.7945318972659487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003934056809333705,
+      "loss": 5.2367,
+      "mean_token_accuracy": 0.1760738953948021,
+      "num_tokens": 8346861.0,
+      "step": 4580
+    },
+    {
+      "entropy": 5.493864250183106,
+      "epoch": 3.7986743993372,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039313383290204333,
+      "loss": 5.2689,
+      "mean_token_accuracy": 0.16675272732973098,
+      "num_tokens": 8356078.0,
+      "step": 4585
+    },
+    {
+      "entropy": 5.449766826629639,
+      "epoch": 3.802816901408451,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003928617465818658,
+      "loss": 5.2279,
+      "mean_token_accuracy": 0.16728012412786483,
+      "num_tokens": 8365487.0,
+      "step": 4590
+    },
+    {
+      "entropy": 5.477828598022461,
+      "epoch": 3.8069594034797016,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00039258942252166554,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.17344195693731307,
+      "num_tokens": 8374622.0,
+      "step": 4595
+    },
+    {
+      "entropy": 5.467281007766724,
+      "epoch": 3.8111019055509527,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003923168612707502,
+      "loss": 5.1437,
+      "mean_token_accuracy": 0.1838704138994217,
+      "num_tokens": 8383312.0,
+      "step": 4600
+    },
+    {
+      "entropy": 5.375951862335205,
+      "epoch": 3.815244407622204,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003920440633789053,
+      "loss": 5.1668,
+      "mean_token_accuracy": 0.17426021844148637,
+      "num_tokens": 8391987.0,
+      "step": 4605
+    },
+    {
+      "entropy": 5.411648225784302,
+      "epoch": 3.819386909693455,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039177102939639424,
+      "loss": 5.1782,
+      "mean_token_accuracy": 0.17309755831956863,
+      "num_tokens": 8401263.0,
+      "step": 4610
+    },
+    {
+      "entropy": 5.520602798461914,
+      "epoch": 3.8235294117647056,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003914977598739563,
+      "loss": 5.1998,
+      "mean_token_accuracy": 0.18663258850574493,
+      "num_tokens": 8410110.0,
+      "step": 4615
+    },
+    {
+      "entropy": 5.505752420425415,
+      "epoch": 3.8276719138359567,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003912242553628059,
+      "loss": 5.2827,
+      "mean_token_accuracy": 0.16937017440795898,
+      "num_tokens": 8419321.0,
+      "step": 4620
+    },
+    {
+      "entropy": 5.470319938659668,
+      "epoch": 3.831814415907208,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003909505164146318,
+      "loss": 5.2512,
+      "mean_token_accuracy": 0.17635022550821305,
+      "num_tokens": 8428376.0,
+      "step": 4625
+    },
+    {
+      "entropy": 5.446829080581665,
+      "epoch": 3.835956917978459,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000390676543581595,
+      "loss": 5.1826,
+      "mean_token_accuracy": 0.1743323564529419,
+      "num_tokens": 8437263.0,
+      "step": 4630
+    },
+    {
+      "entropy": 5.361465311050415,
+      "epoch": 3.84009942004971,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003904023374163289,
+      "loss": 5.1943,
+      "mean_token_accuracy": 0.17949013262987137,
+      "num_tokens": 8445889.0,
+      "step": 4635
+    },
+    {
+      "entropy": 5.503735971450806,
+      "epoch": 3.844241922120961,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003901278984719372,
+      "loss": 5.3739,
+      "mean_token_accuracy": 0.16415481567382811,
+      "num_tokens": 8456086.0,
+      "step": 4640
+    },
+    {
+      "entropy": 5.492273569107056,
+      "epoch": 3.8483844241922123,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00038985322730199326,
+      "loss": 5.2018,
+      "mean_token_accuracy": 0.1795567825436592,
+      "num_tokens": 8465150.0,
+      "step": 4645
+    },
+    {
+      "entropy": 5.431647396087646,
+      "epoch": 3.8525269262634634,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003895783244605389,
+      "loss": 5.2783,
+      "mean_token_accuracy": 0.1720671087503433,
+      "num_tokens": 8474172.0,
+      "step": 4650
+    },
+    {
+      "entropy": 5.404905462265015,
+      "epoch": 3.856669428334714,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00038930319050208315,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.18708953112363816,
+      "num_tokens": 8483636.0,
+      "step": 4655
+    },
+    {
+      "entropy": 5.408392810821534,
+      "epoch": 3.860811930405965,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00038902782598160127,
+      "loss": 5.1091,
+      "mean_token_accuracy": 0.1881578117609024,
+      "num_tokens": 8491560.0,
+      "step": 4660
+    },
+    {
+      "entropy": 5.484521150588989,
+      "epoch": 3.8649544324772163,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00038875223145453346,
+      "loss": 5.4046,
+      "mean_token_accuracy": 0.17662398070096968,
+      "num_tokens": 8501685.0,
+      "step": 4665
+    },
+    {
+      "entropy": 5.551066589355469,
+      "epoch": 3.8690969345484674,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003884764074767842,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.17176942974328996,
+      "num_tokens": 8510580.0,
+      "step": 4670
+    },
+    {
+      "entropy": 5.477302551269531,
+      "epoch": 3.873239436619718,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003882003546047205,
+      "loss": 5.2013,
+      "mean_token_accuracy": 0.17522621154785156,
+      "num_tokens": 8519595.0,
+      "step": 4675
+    },
+    {
+      "entropy": 5.506098508834839,
+      "epoch": 3.877381938690969,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00038792407339517123,
+      "loss": 5.2786,
+      "mean_token_accuracy": 0.17400375306606292,
+      "num_tokens": 8529118.0,
+      "step": 4680
+    },
+    {
+      "entropy": 5.507658243179321,
+      "epoch": 3.8815244407622203,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00038764756440542574,
+      "loss": 5.2477,
+      "mean_token_accuracy": 0.17185091674327851,
+      "num_tokens": 8539322.0,
+      "step": 4685
+    },
+    {
+      "entropy": 5.454025650024414,
+      "epoch": 3.8856669428334714,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038737082819323285,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.17740404605865479,
+      "num_tokens": 8548707.0,
+      "step": 4690
+    },
+    {
+      "entropy": 5.427890157699585,
+      "epoch": 3.8898094449047225,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00038709386531679974,
+      "loss": 5.2576,
+      "mean_token_accuracy": 0.1718251511454582,
+      "num_tokens": 8557500.0,
+      "step": 4695
+    },
+    {
+      "entropy": 5.436252593994141,
+      "epoch": 3.8939519469759736,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00038681667633479086,
+      "loss": 5.2621,
+      "mean_token_accuracy": 0.1682343602180481,
+      "num_tokens": 8567465.0,
+      "step": 4700
+    },
+    {
+      "entropy": 5.381856250762939,
+      "epoch": 3.8980944490472247,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038653926180632665,
+      "loss": 5.1165,
+      "mean_token_accuracy": 0.18321423530578612,
+      "num_tokens": 8576680.0,
+      "step": 4705
+    },
+    {
+      "entropy": 5.495894527435302,
+      "epoch": 3.902236951118476,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00038626162229098257,
+      "loss": 5.2631,
+      "mean_token_accuracy": 0.16617788672447203,
+      "num_tokens": 8585539.0,
+      "step": 4710
+    },
+    {
+      "entropy": 5.400326347351074,
+      "epoch": 3.9063794531897265,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003859837583487877,
+      "loss": 5.1007,
+      "mean_token_accuracy": 0.18613590002059938,
+      "num_tokens": 8593598.0,
+      "step": 4715
+    },
+    {
+      "entropy": 5.4148589134216305,
+      "epoch": 3.9105219552609776,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003857056705402241,
+      "loss": 5.236,
+      "mean_token_accuracy": 0.1721765860915184,
+      "num_tokens": 8603440.0,
+      "step": 4720
+    },
+    {
+      "entropy": 5.384281969070434,
+      "epoch": 3.9146644573322287,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003854273594262253,
+      "loss": 5.0591,
+      "mean_token_accuracy": 0.1858549162745476,
+      "num_tokens": 8612490.0,
+      "step": 4725
+    },
+    {
+      "entropy": 5.387153816223145,
+      "epoch": 3.91880695940348,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003851488255681752,
+      "loss": 5.1508,
+      "mean_token_accuracy": 0.17980385273694993,
+      "num_tokens": 8621994.0,
+      "step": 4730
+    },
+    {
+      "entropy": 5.462166833877563,
+      "epoch": 3.922949461474731,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000384870069527907,
+      "loss": 5.2269,
+      "mean_token_accuracy": 0.16994049549102783,
+      "num_tokens": 8631185.0,
+      "step": 4735
+    },
+    {
+      "entropy": 5.445327711105347,
+      "epoch": 3.9270919635459816,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00038459109186770213,
+      "loss": 5.1201,
+      "mean_token_accuracy": 0.18937034606933595,
+      "num_tokens": 8639018.0,
+      "step": 4740
+    },
+    {
+      "entropy": 5.365725660324097,
+      "epoch": 3.9312344656172327,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00038431189315028905,
+      "loss": 5.1293,
+      "mean_token_accuracy": 0.1805494785308838,
+      "num_tokens": 8647672.0,
+      "step": 4745
+    },
+    {
+      "entropy": 5.42286114692688,
+      "epoch": 3.9353769676884838,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003840324739388419,
+      "loss": 5.2659,
+      "mean_token_accuracy": 0.16662627309560776,
+      "num_tokens": 8656638.0,
+      "step": 4750
+    },
+    {
+      "entropy": 5.4803203582763675,
+      "epoch": 3.939519469759735,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00038375283479698,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.18231208473443986,
+      "num_tokens": 8666167.0,
+      "step": 4755
+    },
+    {
+      "entropy": 5.505121231079102,
+      "epoch": 3.943661971830986,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003834729762887659,
+      "loss": 5.3067,
+      "mean_token_accuracy": 0.16447765678167342,
+      "num_tokens": 8676435.0,
+      "step": 4760
+    },
+    {
+      "entropy": 5.413615751266479,
+      "epoch": 3.947804473902237,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003831928989787049,
+      "loss": 5.1808,
+      "mean_token_accuracy": 0.18012969940900803,
+      "num_tokens": 8686011.0,
+      "step": 4765
+    },
+    {
+      "entropy": 5.463970613479614,
+      "epoch": 3.951946975973488,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003829126034317435,
+      "loss": 5.1959,
+      "mean_token_accuracy": 0.17213619947433473,
+      "num_tokens": 8695063.0,
+      "step": 4770
+    },
+    {
+      "entropy": 5.517300796508789,
+      "epoch": 3.956089478044739,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003826320902132684,
+      "loss": 5.299,
+      "mean_token_accuracy": 0.16880902647972107,
+      "num_tokens": 8704585.0,
+      "step": 4775
+    },
+    {
+      "entropy": 5.469470262527466,
+      "epoch": 3.96023198011599,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038235135988910545,
+      "loss": 5.2111,
+      "mean_token_accuracy": 0.17501715570688248,
+      "num_tokens": 8714097.0,
+      "step": 4780
+    },
+    {
+      "entropy": 5.433980226516724,
+      "epoch": 3.964374482187241,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00038207041302551844,
+      "loss": 5.1327,
+      "mean_token_accuracy": 0.1802523225545883,
+      "num_tokens": 8722890.0,
+      "step": 4785
+    },
+    {
+      "entropy": 5.36038613319397,
+      "epoch": 3.968516984258492,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003817892501892078,
+      "loss": 5.1474,
+      "mean_token_accuracy": 0.18226009160280227,
+      "num_tokens": 8732046.0,
+      "step": 4790
+    },
+    {
+      "entropy": 5.385818529129028,
+      "epoch": 3.9726594863297433,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038150787194730977,
+      "loss": 5.1867,
+      "mean_token_accuracy": 0.18098812699317932,
+      "num_tokens": 8741750.0,
+      "step": 4795
+    },
+    {
+      "entropy": 5.49769434928894,
+      "epoch": 3.976801988400994,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000381226278867395,
+      "loss": 5.1585,
+      "mean_token_accuracy": 0.17722393125295638,
+      "num_tokens": 8750141.0,
+      "step": 4800
+    },
+    {
+      "entropy": 5.3994584560394285,
+      "epoch": 3.980944490472245,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00038094447151746746,
+      "loss": 5.0956,
+      "mean_token_accuracy": 0.18723244071006775,
+      "num_tokens": 8758567.0,
+      "step": 4805
+    },
+    {
+      "entropy": 5.376461982727051,
+      "epoch": 3.985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003806624504659635,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1782562255859375,
+      "num_tokens": 8767829.0,
+      "step": 4810
+    },
+    {
+      "entropy": 5.416551733016968,
+      "epoch": 3.9892294946147473,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003803802162817503,
+      "loss": 5.0891,
+      "mean_token_accuracy": 0.18413031548261644,
+      "num_tokens": 8776911.0,
+      "step": 4815
+    },
+    {
+      "entropy": 5.403548002243042,
+      "epoch": 3.9933719966859984,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000380097769534125,
+      "loss": 5.2011,
+      "mean_token_accuracy": 0.18309975266456605,
+      "num_tokens": 8786117.0,
+      "step": 4820
+    },
+    {
+      "entropy": 5.401311016082763,
+      "epoch": 3.9975144987572495,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003798151107928136,
+      "loss": 5.1436,
+      "mean_token_accuracy": 0.18381998240947722,
+      "num_tokens": 8795647.0,
+      "step": 4825
+    },
+    {
+      "entropy": 5.363515567779541,
+      "epoch": 4.001657000828501,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00037953224062796967,
+      "loss": 5.1114,
+      "mean_token_accuracy": 0.18405449539422988,
+      "num_tokens": 8803480.0,
+      "step": 4830
+    },
+    {
+      "entropy": 5.504069137573242,
+      "epoch": 4.005799502899752,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003792491596101733,
+      "loss": 4.9454,
+      "mean_token_accuracy": 0.19255731254816055,
+      "num_tokens": 8812825.0,
+      "step": 4835
+    },
+    {
+      "entropy": 5.45196304321289,
+      "epoch": 4.009942004971003,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003789658683104298,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19097152799367906,
+      "num_tokens": 8821911.0,
+      "step": 4840
+    },
+    {
+      "entropy": 5.429521989822388,
+      "epoch": 4.014084507042254,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037868236730016866,
+      "loss": 4.9518,
+      "mean_token_accuracy": 0.18948255032300948,
+      "num_tokens": 8830691.0,
+      "step": 4845
+    },
+    {
+      "entropy": 5.400455188751221,
+      "epoch": 4.018227009113504,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037839865715124234,
+      "loss": 4.9281,
+      "mean_token_accuracy": 0.19010053426027299,
+      "num_tokens": 8840410.0,
+      "step": 4850
+    },
+    {
+      "entropy": 5.374143838882446,
+      "epoch": 4.022369511184755,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00037811473843592534,
+      "loss": 4.9042,
+      "mean_token_accuracy": 0.19410175532102586,
+      "num_tokens": 8849662.0,
+      "step": 4855
+    },
+    {
+      "entropy": 5.4465690612792965,
+      "epoch": 4.026512013256006,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00037783061172691273,
+      "loss": 4.8985,
+      "mean_token_accuracy": 0.19412659406661986,
+      "num_tokens": 8858666.0,
+      "step": 4860
+    },
+    {
+      "entropy": 5.497456216812134,
+      "epoch": 4.0306545153272575,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003775462775973191,
+      "loss": 4.9611,
+      "mean_token_accuracy": 0.1847592905163765,
+      "num_tokens": 8867885.0,
+      "step": 4865
+    },
+    {
+      "entropy": 5.351856470108032,
+      "epoch": 4.034797017398509,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003772617366206773,
+      "loss": 4.9175,
+      "mean_token_accuracy": 0.19424951672554017,
+      "num_tokens": 8877458.0,
+      "step": 4870
+    },
+    {
+      "entropy": 5.363556432723999,
+      "epoch": 4.03893951946976,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037697698937093783,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.18704084753990174,
+      "num_tokens": 8886995.0,
+      "step": 4875
+    },
+    {
+      "entropy": 5.463095617294312,
+      "epoch": 4.043082021541011,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00037669203642246685,
+      "loss": 5.026,
+      "mean_token_accuracy": 0.18413490056991577,
+      "num_tokens": 8895224.0,
+      "step": 4880
+    },
+    {
+      "entropy": 5.4529016494750975,
+      "epoch": 4.047224523612262,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00037640687835004567,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.1925043895840645,
+      "num_tokens": 8905216.0,
+      "step": 4885
+    },
+    {
+      "entropy": 5.426698875427246,
+      "epoch": 4.051367025683513,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003761215157288692,
+      "loss": 4.9558,
+      "mean_token_accuracy": 0.19299548715353013,
+      "num_tokens": 8915493.0,
+      "step": 4890
+    },
+    {
+      "entropy": 5.362393617630005,
+      "epoch": 4.055509527754764,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00037583594913454514,
+      "loss": 4.925,
+      "mean_token_accuracy": 0.1959809884428978,
+      "num_tokens": 8924740.0,
+      "step": 4895
+    },
+    {
+      "entropy": 5.42564959526062,
+      "epoch": 4.059652029826015,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003755501791430925,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.18527257889509202,
+      "num_tokens": 8934726.0,
+      "step": 4900
+    },
+    {
+      "entropy": 5.448423719406128,
+      "epoch": 4.063794531897266,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00037526420633094044,
+      "loss": 4.9581,
+      "mean_token_accuracy": 0.18748125433921814,
+      "num_tokens": 8944301.0,
+      "step": 4905
+    },
+    {
+      "entropy": 5.449982643127441,
+      "epoch": 4.067937033968517,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037497803127492757,
+      "loss": 4.9881,
+      "mean_token_accuracy": 0.19187170565128325,
+      "num_tokens": 8953967.0,
+      "step": 4910
+    },
+    {
+      "entropy": 5.326543855667114,
+      "epoch": 4.072079536039768,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003746916545523001,
+      "loss": 4.8948,
+      "mean_token_accuracy": 0.19177066087722777,
+      "num_tokens": 8962983.0,
+      "step": 4915
+    },
+    {
+      "entropy": 5.381871175765991,
+      "epoch": 4.076222038111019,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003744050767407113,
+      "loss": 5.0191,
+      "mean_token_accuracy": 0.18154184073209761,
+      "num_tokens": 8972019.0,
+      "step": 4920
+    },
+    {
+      "entropy": 5.40556058883667,
+      "epoch": 4.08036454018227,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0003741182984182198,
+      "loss": 4.901,
+      "mean_token_accuracy": 0.20234887301921844,
+      "num_tokens": 8981751.0,
+      "step": 4925
+    },
+    {
+      "entropy": 5.3616517066955565,
+      "epoch": 4.084507042253521,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003738313201632889,
+      "loss": 4.8923,
+      "mean_token_accuracy": 0.19780989587306977,
+      "num_tokens": 8990330.0,
+      "step": 4930
+    },
+    {
+      "entropy": 5.314311408996582,
+      "epoch": 4.088649544324772,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003735441425547851,
+      "loss": 4.905,
+      "mean_token_accuracy": 0.19072338491678237,
+      "num_tokens": 8998366.0,
+      "step": 4935
+    },
+    {
+      "entropy": 5.290538501739502,
+      "epoch": 4.092792046396023,
+      "grad_norm": 1.828125,
+      "learning_rate": 0.00037325676617197697,
+      "loss": 4.8317,
+      "mean_token_accuracy": 0.20186650305986403,
+      "num_tokens": 9006881.0,
+      "step": 4940
+    },
+    {
+      "entropy": 5.323595571517944,
+      "epoch": 4.096934548467274,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0003729691915945342,
+      "loss": 4.8944,
+      "mean_token_accuracy": 0.19853760153055192,
+      "num_tokens": 9015415.0,
+      "step": 4945
+    },
+    {
+      "entropy": 5.40374059677124,
+      "epoch": 4.1010770505385254,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000372681419402526,
+      "loss": 4.9483,
+      "mean_token_accuracy": 0.19546929001808167,
+      "num_tokens": 9024578.0,
+      "step": 4950
+    },
+    {
+      "entropy": 5.381409311294556,
+      "epoch": 4.105219552609777,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003723934501764203,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.1867024227976799,
+      "num_tokens": 9032637.0,
+      "step": 4955
+    },
+    {
+      "entropy": 5.395318984985352,
+      "epoch": 4.109362054681028,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0003721052844970826,
+      "loss": 4.8913,
+      "mean_token_accuracy": 0.18718749284744263,
+      "num_tokens": 9041513.0,
+      "step": 4960
+    },
+    {
+      "entropy": 5.394489192962647,
+      "epoch": 4.113504556752279,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00037181692294577457,
+      "loss": 4.9155,
+      "mean_token_accuracy": 0.1854037255048752,
+      "num_tokens": 9051024.0,
+      "step": 4965
+    },
+    {
+      "entropy": 5.33848295211792,
+      "epoch": 4.117647058823529,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037152836610415284,
+      "loss": 4.8895,
+      "mean_token_accuracy": 0.19274405539035797,
+      "num_tokens": 9059494.0,
+      "step": 4970
+    },
+    {
+      "entropy": 5.31979193687439,
+      "epoch": 4.12178956089478,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00037123961455426836,
+      "loss": 4.7988,
+      "mean_token_accuracy": 0.19865831583738328,
+      "num_tokens": 9068166.0,
+      "step": 4975
+    },
+    {
+      "entropy": 5.391095542907715,
+      "epoch": 4.125932062966031,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00037095066887856434,
+      "loss": 4.907,
+      "mean_token_accuracy": 0.19333944320678711,
+      "num_tokens": 9077283.0,
+      "step": 4980
+    },
+    {
+      "entropy": 5.3755443572998045,
+      "epoch": 4.130074565037282,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003706615296598758,
+      "loss": 4.9332,
+      "mean_token_accuracy": 0.19493403136730195,
+      "num_tokens": 9086605.0,
+      "step": 4985
+    },
+    {
+      "entropy": 5.301020622253418,
+      "epoch": 4.134217067108533,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003703721974814282,
+      "loss": 4.9169,
+      "mean_token_accuracy": 0.19399153292179108,
+      "num_tokens": 9095567.0,
+      "step": 4990
+    },
+    {
+      "entropy": 5.282594537734985,
+      "epoch": 4.1383595691797845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00037008267292683615,
+      "loss": 4.9012,
+      "mean_token_accuracy": 0.19265301078557967,
+      "num_tokens": 9104457.0,
+      "step": 4995
+    },
+    {
+      "entropy": 5.398877716064453,
+      "epoch": 4.142502071251036,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036979295658010227,
+      "loss": 4.9533,
+      "mean_token_accuracy": 0.20162091553211212,
+      "num_tokens": 9113945.0,
+      "step": 5000
+    },
+    {
+      "epoch": 4.142502071251036,
+      "eval_entropy": 5.273210916946184,
+      "eval_loss": 5.83656120300293,
+      "eval_mean_token_accuracy": 0.15772452866281272,
+      "eval_num_tokens": 9113945.0,
+      "eval_runtime": 2.9415,
+      "eval_samples_per_second": 1273.844,
+      "eval_steps_per_second": 159.443,
+      "step": 5000
+    },
+    {
+      "entropy": 5.424594402313232,
+      "epoch": 4.146644573322287,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003695030490256161,
+      "loss": 5.0303,
+      "mean_token_accuracy": 0.18944208920001984,
+      "num_tokens": 9122996.0,
+      "step": 5005
+    },
+    {
+      "entropy": 5.355675983428955,
+      "epoch": 4.150787075393538,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000369212950848153,
+      "loss": 4.8793,
+      "mean_token_accuracy": 0.1962927296757698,
+      "num_tokens": 9132079.0,
+      "step": 5010
+    },
+    {
+      "entropy": 5.384340238571167,
+      "epoch": 4.154929577464789,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003689226626328725,
+      "loss": 5.0058,
+      "mean_token_accuracy": 0.19004727751016617,
+      "num_tokens": 9141335.0,
+      "step": 5015
+    },
+    {
+      "entropy": 5.442283582687378,
+      "epoch": 4.15907207953604,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00036863218496531767,
+      "loss": 5.0264,
+      "mean_token_accuracy": 0.18990386426448821,
+      "num_tokens": 9150049.0,
+      "step": 5020
+    },
+    {
+      "entropy": 5.409811115264892,
+      "epoch": 4.163214581607291,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003683415184314139,
+      "loss": 4.9057,
+      "mean_token_accuracy": 0.19072521328926087,
+      "num_tokens": 9159245.0,
+      "step": 5025
+    },
+    {
+      "entropy": 5.281745195388794,
+      "epoch": 4.167357083678542,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00036805066361746716,
+      "loss": 4.9432,
+      "mean_token_accuracy": 0.19057238101959229,
+      "num_tokens": 9167892.0,
+      "step": 5030
+    },
+    {
+      "entropy": 5.262811374664307,
+      "epoch": 4.1714995857497925,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036775962111016346,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.19675376862287522,
+      "num_tokens": 9176067.0,
+      "step": 5035
+    },
+    {
+      "entropy": 5.335107898712158,
+      "epoch": 4.175642087821044,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036746839149656734,
+      "loss": 4.9032,
+      "mean_token_accuracy": 0.19636716991662978,
+      "num_tokens": 9185318.0,
+      "step": 5040
+    },
+    {
+      "entropy": 5.338614749908447,
+      "epoch": 4.179784589892295,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003671769753641207,
+      "loss": 4.9605,
+      "mean_token_accuracy": 0.19530149400234223,
+      "num_tokens": 9194885.0,
+      "step": 5045
+    },
+    {
+      "entropy": 5.349650192260742,
+      "epoch": 4.183927091963546,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00036688537330064187,
+      "loss": 4.987,
+      "mean_token_accuracy": 0.19436514377593994,
+      "num_tokens": 9203906.0,
+      "step": 5050
+    },
+    {
+      "entropy": 5.318757629394531,
+      "epoch": 4.188069594034797,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000366593585894324,
+      "loss": 4.8507,
+      "mean_token_accuracy": 0.2013680413365364,
+      "num_tokens": 9213351.0,
+      "step": 5055
+    },
+    {
+      "entropy": 5.347932624816894,
+      "epoch": 4.192212096106048,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003663016137337341,
+      "loss": 4.9278,
+      "mean_token_accuracy": 0.18784158080816268,
+      "num_tokens": 9222191.0,
+      "step": 5060
+    },
+    {
+      "entropy": 5.372864198684693,
+      "epoch": 4.196354598177299,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00036600945740781197,
+      "loss": 4.9668,
+      "mean_token_accuracy": 0.1919815331697464,
+      "num_tokens": 9231517.0,
+      "step": 5065
+    },
+    {
+      "entropy": 5.393643712997436,
+      "epoch": 4.20049710024855,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036571711750586896,
+      "loss": 4.9891,
+      "mean_token_accuracy": 0.19960682690143586,
+      "num_tokens": 9241208.0,
+      "step": 5070
+    },
+    {
+      "entropy": 5.391959381103516,
+      "epoch": 4.204639602319801,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003654245946175864,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19324131309986115,
+      "num_tokens": 9250237.0,
+      "step": 5075
+    },
+    {
+      "entropy": 5.37893590927124,
+      "epoch": 4.2087821043910525,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00036513188933301504,
+      "loss": 5.0399,
+      "mean_token_accuracy": 0.18783097416162492,
+      "num_tokens": 9260273.0,
+      "step": 5080
+    },
+    {
+      "entropy": 5.378773164749146,
+      "epoch": 4.212924606462304,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003648390022425734,
+      "loss": 4.8996,
+      "mean_token_accuracy": 0.19140231609344482,
+      "num_tokens": 9268878.0,
+      "step": 5085
+    },
+    {
+      "entropy": 5.325588417053223,
+      "epoch": 4.217067108533554,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003645459339370468,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19706592857837676,
+      "num_tokens": 9276324.0,
+      "step": 5090
+    },
+    {
+      "entropy": 5.312953901290894,
+      "epoch": 4.221209610604805,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036425268500758594,
+      "loss": 4.9725,
+      "mean_token_accuracy": 0.1936806783080101,
+      "num_tokens": 9285052.0,
+      "step": 5095
+    },
+    {
+      "entropy": 5.354986000061035,
+      "epoch": 4.225352112676056,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036395925604570614,
+      "loss": 4.8763,
+      "mean_token_accuracy": 0.20042537599802018,
+      "num_tokens": 9293324.0,
+      "step": 5100
+    },
+    {
+      "entropy": 5.3900477409362795,
+      "epoch": 4.229494614747307,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003636656476432854,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19263672083616257,
+      "num_tokens": 9302131.0,
+      "step": 5105
+    },
+    {
+      "entropy": 5.263408470153808,
+      "epoch": 4.233637116818558,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003633718603925642,
+      "loss": 4.862,
+      "mean_token_accuracy": 0.19388986378908157,
+      "num_tokens": 9311128.0,
+      "step": 5110
+    },
+    {
+      "entropy": 5.420498418807983,
+      "epoch": 4.237779618889809,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0003630778948861434,
+      "loss": 4.9352,
+      "mean_token_accuracy": 0.1895424723625183,
+      "num_tokens": 9319849.0,
+      "step": 5115
+    },
+    {
+      "entropy": 5.336805248260498,
+      "epoch": 4.2419221209610605,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003627837517169836,
+      "loss": 4.9458,
+      "mean_token_accuracy": 0.18560263216495515,
+      "num_tokens": 9328355.0,
+      "step": 5120
+    },
+    {
+      "entropy": 5.352609777450562,
+      "epoch": 4.246064623032312,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003624894314784037,
+      "loss": 4.9236,
+      "mean_token_accuracy": 0.18928787410259246,
+      "num_tokens": 9337562.0,
+      "step": 5125
+    },
+    {
+      "entropy": 5.323793935775757,
+      "epoch": 4.250207125103563,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003621949347640797,
+      "loss": 4.9315,
+      "mean_token_accuracy": 0.196185165643692,
+      "num_tokens": 9347851.0,
+      "step": 5130
+    },
+    {
+      "entropy": 5.398552274703979,
+      "epoch": 4.254349627174814,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003619002621680439,
+      "loss": 4.9325,
+      "mean_token_accuracy": 0.19673411697149276,
+      "num_tokens": 9356524.0,
+      "step": 5135
+    },
+    {
+      "entropy": 5.4241108894348145,
+      "epoch": 4.258492129246065,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003616054142846829,
+      "loss": 5.0307,
+      "mean_token_accuracy": 0.1882170706987381,
+      "num_tokens": 9365521.0,
+      "step": 5140
+    },
+    {
+      "entropy": 5.301144218444824,
+      "epoch": 4.262634631317316,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003613103917087371,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19470559656620026,
+      "num_tokens": 9374088.0,
+      "step": 5145
+    },
+    {
+      "entropy": 5.345515966415405,
+      "epoch": 4.266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003610151950352994,
+      "loss": 4.9794,
+      "mean_token_accuracy": 0.19499585926532745,
+      "num_tokens": 9382683.0,
+      "step": 5150
+    },
+    {
+      "entropy": 5.306409788131714,
+      "epoch": 4.270919635459817,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0003607198248598137,
+      "loss": 4.9063,
+      "mean_token_accuracy": 0.194849793612957,
+      "num_tokens": 9391790.0,
+      "step": 5155
+    },
+    {
+      "entropy": 5.414876556396484,
+      "epoch": 4.2750621375310685,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003604242817780739,
+      "loss": 4.9901,
+      "mean_token_accuracy": 0.19321189671754838,
+      "num_tokens": 9400234.0,
+      "step": 5160
+    },
+    {
+      "entropy": 5.350374364852906,
+      "epoch": 4.27920463960232,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036012856638622273,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19192621409893035,
+      "num_tokens": 9409513.0,
+      "step": 5165
+    },
+    {
+      "entropy": 5.292260932922363,
+      "epoch": 4.283347141673571,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003598326792807504,
+      "loss": 4.9821,
+      "mean_token_accuracy": 0.18258902430534363,
+      "num_tokens": 9418608.0,
+      "step": 5170
+    },
+    {
+      "entropy": 5.427756977081299,
+      "epoch": 4.287489643744822,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00035953662105849357,
+      "loss": 5.0092,
+      "mean_token_accuracy": 0.19452760964632035,
+      "num_tokens": 9428705.0,
+      "step": 5175
+    },
+    {
+      "entropy": 5.3185462474823,
+      "epoch": 4.291632145816073,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000359240392316634,
+      "loss": 4.9177,
+      "mean_token_accuracy": 0.18542011678218842,
+      "num_tokens": 9438149.0,
+      "step": 5180
+    },
+    {
+      "entropy": 5.330511379241943,
+      "epoch": 4.295774647887324,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003589439936526974,
+      "loss": 4.8709,
+      "mean_token_accuracy": 0.19628295600414275,
+      "num_tokens": 9447566.0,
+      "step": 5185
+    },
+    {
+      "entropy": 5.303903436660766,
+      "epoch": 4.299917149958575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003586474256645525,
+      "loss": 4.9641,
+      "mean_token_accuracy": 0.1915314257144928,
+      "num_tokens": 9458156.0,
+      "step": 5190
+    },
+    {
+      "entropy": 5.410308837890625,
+      "epoch": 4.304059652029826,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035835068895040905,
+      "loss": 5.0014,
+      "mean_token_accuracy": 0.19137390553951264,
+      "num_tokens": 9467388.0,
+      "step": 5195
+    },
+    {
+      "entropy": 5.388073253631592,
+      "epoch": 4.308202154101077,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00035805378410881753,
+      "loss": 4.9642,
+      "mean_token_accuracy": 0.1940509021282196,
+      "num_tokens": 9477515.0,
+      "step": 5200
+    },
+    {
+      "entropy": 5.389194107055664,
+      "epoch": 4.312344656172328,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003577567117386675,
+      "loss": 4.9854,
+      "mean_token_accuracy": 0.1937498316168785,
+      "num_tokens": 9485851.0,
+      "step": 5205
+    },
+    {
+      "entropy": 5.377271747589111,
+      "epoch": 4.3164871582435795,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003574594724391863,
+      "loss": 4.9773,
+      "mean_token_accuracy": 0.18631901144981383,
+      "num_tokens": 9495523.0,
+      "step": 5210
+    },
+    {
+      "entropy": 5.303675985336303,
+      "epoch": 4.32062966031483,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003571620668099382,
+      "loss": 4.9104,
+      "mean_token_accuracy": 0.19740363359451293,
+      "num_tokens": 9504195.0,
+      "step": 5215
+    },
+    {
+      "entropy": 5.377063655853272,
+      "epoch": 4.324772162386081,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003568644954508227,
+      "loss": 4.9616,
+      "mean_token_accuracy": 0.1940310388803482,
+      "num_tokens": 9513313.0,
+      "step": 5220
+    },
+    {
+      "entropy": 5.400073862075805,
+      "epoch": 4.328914664457332,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003565667589620739,
+      "loss": 5.0313,
+      "mean_token_accuracy": 0.18615816980600358,
+      "num_tokens": 9522387.0,
+      "step": 5225
+    },
+    {
+      "entropy": 5.380652332305909,
+      "epoch": 4.333057166528583,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003562688579442588,
+      "loss": 4.9582,
+      "mean_token_accuracy": 0.1893748164176941,
+      "num_tokens": 9531522.0,
+      "step": 5230
+    },
+    {
+      "entropy": 5.349949216842651,
+      "epoch": 4.337199668599834,
+      "grad_norm": 1.6171875,
+      "learning_rate": 0.00035597079299827625,
+      "loss": 4.9875,
+      "mean_token_accuracy": 0.18508986830711366,
+      "num_tokens": 9540248.0,
+      "step": 5235
+    },
+    {
+      "entropy": 5.3083008289337155,
+      "epoch": 4.341342170671085,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035567256472535585,
+      "loss": 4.9192,
+      "mean_token_accuracy": 0.19538334757089615,
+      "num_tokens": 9549850.0,
+      "step": 5240
+    },
+    {
+      "entropy": 5.325525283813477,
+      "epoch": 4.345484672742336,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003553741737270566,
+      "loss": 4.9167,
+      "mean_token_accuracy": 0.19581695050001144,
+      "num_tokens": 9558929.0,
+      "step": 5245
+    },
+    {
+      "entropy": 5.291470670700074,
+      "epoch": 4.3496271748135875,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00035507562060526574,
+      "loss": 4.9163,
+      "mean_token_accuracy": 0.19085376411676408,
+      "num_tokens": 9567627.0,
+      "step": 5250
+    },
+    {
+      "entropy": 5.419774055480957,
+      "epoch": 4.353769676884839,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035477690596219763,
+      "loss": 5.0513,
+      "mean_token_accuracy": 0.18172826021909713,
+      "num_tokens": 9576223.0,
+      "step": 5255
+    },
+    {
+      "entropy": 5.422041416168213,
+      "epoch": 4.35791217895609,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00035447803040039225,
+      "loss": 5.0178,
+      "mean_token_accuracy": 0.1885324940085411,
+      "num_tokens": 9585510.0,
+      "step": 5260
+    },
+    {
+      "entropy": 5.344962453842163,
+      "epoch": 4.362054681027341,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003541789945227143,
+      "loss": 4.9361,
+      "mean_token_accuracy": 0.1920488640666008,
+      "num_tokens": 9594843.0,
+      "step": 5265
+    },
+    {
+      "entropy": 5.401527786254883,
+      "epoch": 4.366197183098592,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00035387979893235184,
+      "loss": 4.9467,
+      "mean_token_accuracy": 0.19816664457321168,
+      "num_tokens": 9604142.0,
+      "step": 5270
+    },
+    {
+      "entropy": 5.339557313919068,
+      "epoch": 4.370339685169842,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003535804442328151,
+      "loss": 4.994,
+      "mean_token_accuracy": 0.197935588657856,
+      "num_tokens": 9613669.0,
+      "step": 5275
+    },
+    {
+      "entropy": 5.395236444473267,
+      "epoch": 4.374482187241093,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00035328093102793506,
+      "loss": 4.9843,
+      "mean_token_accuracy": 0.19234263002872468,
+      "num_tokens": 9623502.0,
+      "step": 5280
+    },
+    {
+      "entropy": 5.377492380142212,
+      "epoch": 4.378624689312344,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035298125992186283,
+      "loss": 4.9784,
+      "mean_token_accuracy": 0.1910512089729309,
+      "num_tokens": 9632041.0,
+      "step": 5285
+    },
+    {
+      "entropy": 5.310422706604004,
+      "epoch": 4.3827671913835955,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00035268143151906764,
+      "loss": 4.9853,
+      "mean_token_accuracy": 0.18939480930566788,
+      "num_tokens": 9641442.0,
+      "step": 5290
+    },
+    {
+      "entropy": 5.356794643402099,
+      "epoch": 4.386909693454847,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00035238144642433616,
+      "loss": 4.956,
+      "mean_token_accuracy": 0.19045386761426925,
+      "num_tokens": 9650857.0,
+      "step": 5295
+    },
+    {
+      "entropy": 5.461606073379516,
+      "epoch": 4.391052195526098,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000352081305242771,
+      "loss": 4.9906,
+      "mean_token_accuracy": 0.1938766911625862,
+      "num_tokens": 9659173.0,
+      "step": 5300
+    },
+    {
+      "entropy": 5.355851411819458,
+      "epoch": 4.395194697597349,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035178100857978994,
+      "loss": 4.9344,
+      "mean_token_accuracy": 0.19574909955263137,
+      "num_tokens": 9668114.0,
+      "step": 5305
+    },
+    {
+      "entropy": 5.261717939376831,
+      "epoch": 4.3993371996686,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00035148055704112405,
+      "loss": 4.9927,
+      "mean_token_accuracy": 0.1930756837129593,
+      "num_tokens": 9676628.0,
+      "step": 5310
+    },
+    {
+      "entropy": 5.305881071090698,
+      "epoch": 4.403479701739851,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003511799512328168,
+      "loss": 4.8897,
+      "mean_token_accuracy": 0.19723279178142547,
+      "num_tokens": 9685801.0,
+      "step": 5315
+    },
+    {
+      "entropy": 5.3678816795349125,
+      "epoch": 4.407622203811102,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003508791917612232,
+      "loss": 4.9677,
+      "mean_token_accuracy": 0.18847441226243972,
+      "num_tokens": 9694237.0,
+      "step": 5320
+    },
+    {
+      "entropy": 5.357159948348999,
+      "epoch": 4.411764705882353,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00035057827923300785,
+      "loss": 4.887,
+      "mean_token_accuracy": 0.1993523895740509,
+      "num_tokens": 9701904.0,
+      "step": 5325
+    },
+    {
+      "entropy": 5.308569765090942,
+      "epoch": 4.415907207953604,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035027721425514414,
+      "loss": 4.8661,
+      "mean_token_accuracy": 0.20139306634664536,
+      "num_tokens": 9710784.0,
+      "step": 5330
+    },
+    {
+      "entropy": 5.310255718231201,
+      "epoch": 4.4200497100248555,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003499759974349131,
+      "loss": 4.9969,
+      "mean_token_accuracy": 0.19186950027942656,
+      "num_tokens": 9720452.0,
+      "step": 5335
+    },
+    {
+      "entropy": 5.335639381408692,
+      "epoch": 4.424192212096106,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00034967462937990194,
+      "loss": 4.9619,
+      "mean_token_accuracy": 0.18502581119537354,
+      "num_tokens": 9729122.0,
+      "step": 5340
+    },
+    {
+      "entropy": 5.414971780776978,
+      "epoch": 4.428334714167357,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000349373110698003,
+      "loss": 5.0216,
+      "mean_token_accuracy": 0.18420466929674148,
+      "num_tokens": 9738756.0,
+      "step": 5345
+    },
+    {
+      "entropy": 5.406450796127319,
+      "epoch": 4.432477216238608,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003490714419974124,
+      "loss": 5.0113,
+      "mean_token_accuracy": 0.1904602199792862,
+      "num_tokens": 9748547.0,
+      "step": 5350
+    },
+    {
+      "entropy": 5.358873558044434,
+      "epoch": 4.436619718309859,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034876962388662885,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.18162461519241332,
+      "num_tokens": 9758421.0,
+      "step": 5355
+    },
+    {
+      "entropy": 5.277571201324463,
+      "epoch": 4.44076222038111,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003484676569744525,
+      "loss": 4.8563,
+      "mean_token_accuracy": 0.19333565086126328,
+      "num_tokens": 9766855.0,
+      "step": 5360
+    },
+    {
+      "entropy": 5.348770189285278,
+      "epoch": 4.444904722452361,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003481655418699836,
+      "loss": 4.9589,
+      "mean_token_accuracy": 0.1960444375872612,
+      "num_tokens": 9776157.0,
+      "step": 5365
+    },
+    {
+      "entropy": 5.279411029815674,
+      "epoch": 4.449047224523612,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00034786327918262126,
+      "loss": 4.8489,
+      "mean_token_accuracy": 0.2087496116757393,
+      "num_tokens": 9784386.0,
+      "step": 5370
+    },
+    {
+      "entropy": 5.354473733901978,
+      "epoch": 4.4531897265948635,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00034756086952206255,
+      "loss": 4.9009,
+      "mean_token_accuracy": 0.1958460658788681,
+      "num_tokens": 9793838.0,
+      "step": 5375
+    },
+    {
+      "entropy": 5.353402185440063,
+      "epoch": 4.457332228666115,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003472583134983005,
+      "loss": 4.9971,
+      "mean_token_accuracy": 0.19221619367599488,
+      "num_tokens": 9802595.0,
+      "step": 5380
+    },
+    {
+      "entropy": 5.384884357452393,
+      "epoch": 4.461474730737366,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00034695561172162396,
+      "loss": 4.9775,
+      "mean_token_accuracy": 0.19024742841720582,
+      "num_tokens": 9811309.0,
+      "step": 5385
+    },
+    {
+      "entropy": 5.2829090595245365,
+      "epoch": 4.465617232808617,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00034665276480261526,
+      "loss": 4.9139,
+      "mean_token_accuracy": 0.1915873184800148,
+      "num_tokens": 9820327.0,
+      "step": 5390
+    },
+    {
+      "entropy": 5.351649951934815,
+      "epoch": 4.469759734879867,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003463497733521499,
+      "loss": 4.9852,
+      "mean_token_accuracy": 0.18354866653680801,
+      "num_tokens": 9829588.0,
+      "step": 5395
+    },
+    {
+      "entropy": 5.42580213546753,
+      "epoch": 4.473902236951118,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003460466379813947,
+      "loss": 4.9887,
+      "mean_token_accuracy": 0.18973219394683838,
+      "num_tokens": 9838548.0,
+      "step": 5400
+    },
+    {
+      "entropy": 5.335280847549439,
+      "epoch": 4.478044739022369,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003457433593018068,
+      "loss": 5.0018,
+      "mean_token_accuracy": 0.18838239908218385,
+      "num_tokens": 9847925.0,
+      "step": 5405
+    },
+    {
+      "entropy": 5.396121597290039,
+      "epoch": 4.48218724109362,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034543993792513243,
+      "loss": 5.0169,
+      "mean_token_accuracy": 0.18753209412097932,
+      "num_tokens": 9856839.0,
+      "step": 5410
+    },
+    {
+      "entropy": 5.37349534034729,
+      "epoch": 4.486329743164871,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003451363744634057,
+      "loss": 4.978,
+      "mean_token_accuracy": 0.19382779747247697,
+      "num_tokens": 9866519.0,
+      "step": 5415
+    },
+    {
+      "entropy": 5.430073976516724,
+      "epoch": 4.4904722452361225,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00034483266952894725,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.19110478311777115,
+      "num_tokens": 9876866.0,
+      "step": 5420
+    },
+    {
+      "entropy": 5.440963220596314,
+      "epoch": 4.494614747307374,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0003445288237343632,
+      "loss": 5.0042,
+      "mean_token_accuracy": 0.1870105817914009,
+      "num_tokens": 9884639.0,
+      "step": 5425
+    },
+    {
+      "entropy": 5.332541465759277,
+      "epoch": 4.498757249378625,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003442248376925436,
+      "loss": 4.9715,
+      "mean_token_accuracy": 0.1879585549235344,
+      "num_tokens": 9893819.0,
+      "step": 5430
+    },
+    {
+      "entropy": 5.251445341110229,
+      "epoch": 4.502899751449876,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00034392071201666167,
+      "loss": 4.9164,
+      "mean_token_accuracy": 0.19130610078573226,
+      "num_tokens": 9902419.0,
+      "step": 5435
+    },
+    {
+      "entropy": 5.390727472305298,
+      "epoch": 4.507042253521127,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000343616447320172,
+      "loss": 4.9565,
+      "mean_token_accuracy": 0.19780462980270386,
+      "num_tokens": 9912434.0,
+      "step": 5440
+    },
+    {
+      "entropy": 5.366470289230347,
+      "epoch": 4.511184755592378,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003433120442168097,
+      "loss": 4.9114,
+      "mean_token_accuracy": 0.193550705909729,
+      "num_tokens": 9921800.0,
+      "step": 5445
+    },
+    {
+      "entropy": 5.316132354736328,
+      "epoch": 4.515327257663629,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034300750332058924,
+      "loss": 4.9803,
+      "mean_token_accuracy": 0.18861733824014665,
+      "num_tokens": 9930863.0,
+      "step": 5450
+    },
+    {
+      "entropy": 5.340768337249756,
+      "epoch": 4.51946975973488,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003427028252458028,
+      "loss": 4.995,
+      "mean_token_accuracy": 0.1959969326853752,
+      "num_tokens": 9940524.0,
+      "step": 5455
+    },
+    {
+      "entropy": 5.398335361480713,
+      "epoch": 4.5236122618061305,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.0003423980106070194,
+      "loss": 4.98,
+      "mean_token_accuracy": 0.18993111699819565,
+      "num_tokens": 9948949.0,
+      "step": 5460
+    },
+    {
+      "entropy": 5.363409519195557,
+      "epoch": 4.527754763877382,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003420930600190834,
+      "loss": 5.0007,
+      "mean_token_accuracy": 0.18487946093082427,
+      "num_tokens": 9958154.0,
+      "step": 5465
+    },
+    {
+      "entropy": 5.353360748291015,
+      "epoch": 4.531897265948633,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003417879740971135,
+      "loss": 4.8917,
+      "mean_token_accuracy": 0.19643958359956742,
+      "num_tokens": 9967023.0,
+      "step": 5470
+    },
+    {
+      "entropy": 5.392623519897461,
+      "epoch": 4.536039768019884,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003414827534565014,
+      "loss": 4.9908,
+      "mean_token_accuracy": 0.18982938379049302,
+      "num_tokens": 9976596.0,
+      "step": 5475
+    },
+    {
+      "entropy": 5.358148193359375,
+      "epoch": 4.540182270091135,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00034117739871291036,
+      "loss": 4.8992,
+      "mean_token_accuracy": 0.19934887886047364,
+      "num_tokens": 9985330.0,
+      "step": 5480
+    },
+    {
+      "entropy": 5.35659613609314,
+      "epoch": 4.544324772162386,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00034087191048227445,
+      "loss": 5.032,
+      "mean_token_accuracy": 0.1861831620335579,
+      "num_tokens": 9996053.0,
+      "step": 5485
+    },
+    {
+      "entropy": 5.335864496231079,
+      "epoch": 4.548467274233637,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003405662893807967,
+      "loss": 4.9445,
+      "mean_token_accuracy": 0.1877502605319023,
+      "num_tokens": 10005517.0,
+      "step": 5490
+    },
+    {
+      "entropy": 5.389253044128418,
+      "epoch": 4.552609776304888,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003402605360249482,
+      "loss": 5.0416,
+      "mean_token_accuracy": 0.18830080330371857,
+      "num_tokens": 10014354.0,
+      "step": 5495
+    },
+    {
+      "entropy": 5.3128773212432865,
+      "epoch": 4.556752278376139,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000339954651031467,
+      "loss": 4.9238,
+      "mean_token_accuracy": 0.19178629368543626,
+      "num_tokens": 10023194.0,
+      "step": 5500
+    },
+    {
+      "epoch": 4.556752278376139,
+      "eval_entropy": 5.195640559898003,
+      "eval_loss": 5.80400276184082,
+      "eval_mean_token_accuracy": 0.15982486544323882,
+      "eval_num_tokens": 10023194.0,
+      "eval_runtime": 2.7416,
+      "eval_samples_per_second": 1366.696,
+      "eval_steps_per_second": 171.065,
+      "step": 5500
+    },
+    {
+      "entropy": 5.267048501968384,
+      "epoch": 4.5608947804473905,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00033964863501735647,
+      "loss": 4.9188,
+      "mean_token_accuracy": 0.19228280782699586,
+      "num_tokens": 10032490.0,
+      "step": 5505
+    },
+    {
+      "entropy": 5.392655229568481,
+      "epoch": 4.565037282518642,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00033934248859988453,
+      "loss": 4.9346,
+      "mean_token_accuracy": 0.19580908715724946,
+      "num_tokens": 10041613.0,
+      "step": 5510
+    },
+    {
+      "entropy": 5.262086534500122,
+      "epoch": 4.569179784589892,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003390362123965817,
+      "loss": 4.8733,
+      "mean_token_accuracy": 0.1911102056503296,
+      "num_tokens": 10050500.0,
+      "step": 5515
+    },
+    {
+      "entropy": 5.36342945098877,
+      "epoch": 4.573322286661144,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003387298070252407,
+      "loss": 4.9492,
+      "mean_token_accuracy": 0.1935834139585495,
+      "num_tokens": 10059650.0,
+      "step": 5520
+    },
+    {
+      "entropy": 5.337366104125977,
+      "epoch": 4.577464788732394,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003384232731039146,
+      "loss": 4.9844,
+      "mean_token_accuracy": 0.19709572941064835,
+      "num_tokens": 10067882.0,
+      "step": 5525
+    },
+    {
+      "entropy": 5.300627326965332,
+      "epoch": 4.581607290803645,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00033811661125091584,
+      "loss": 4.9253,
+      "mean_token_accuracy": 0.19670316576957703,
+      "num_tokens": 10077147.0,
+      "step": 5530
+    },
+    {
+      "entropy": 5.369974613189697,
+      "epoch": 4.585749792874896,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00033780982208481494,
+      "loss": 4.9829,
+      "mean_token_accuracy": 0.1897311642765999,
+      "num_tokens": 10086149.0,
+      "step": 5535
+    },
+    {
+      "entropy": 5.303711175918579,
+      "epoch": 4.589892294946147,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003375029062244392,
+      "loss": 4.9027,
+      "mean_token_accuracy": 0.20062701553106307,
+      "num_tokens": 10094997.0,
+      "step": 5540
+    },
+    {
+      "entropy": 5.461194086074829,
+      "epoch": 4.5940347970173985,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00033719586428887125,
+      "loss": 4.9635,
+      "mean_token_accuracy": 0.19236611425876618,
+      "num_tokens": 10103585.0,
+      "step": 5545
+    },
+    {
+      "entropy": 5.276572418212891,
+      "epoch": 4.59817729908865,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00033688869689744836,
+      "loss": 4.8715,
+      "mean_token_accuracy": 0.1956779330968857,
+      "num_tokens": 10113877.0,
+      "step": 5550
+    },
+    {
+      "entropy": 5.333914184570313,
+      "epoch": 4.602319801159901,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003365814046697608,
+      "loss": 4.9676,
+      "mean_token_accuracy": 0.1832288920879364,
+      "num_tokens": 10123127.0,
+      "step": 5555
+    },
+    {
+      "entropy": 5.39079098701477,
+      "epoch": 4.606462303231152,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003362739882256504,
+      "loss": 5.0347,
+      "mean_token_accuracy": 0.186669659614563,
+      "num_tokens": 10132301.0,
+      "step": 5560
+    },
+    {
+      "entropy": 5.369095230102539,
+      "epoch": 4.610604805302403,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0003359664481852099,
+      "loss": 5.0411,
+      "mean_token_accuracy": 0.18307175636291503,
+      "num_tokens": 10140985.0,
+      "step": 5565
+    },
+    {
+      "entropy": 5.309534072875977,
+      "epoch": 4.614747307373654,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00033565878516878103,
+      "loss": 4.9435,
+      "mean_token_accuracy": 0.186006298661232,
+      "num_tokens": 10149668.0,
+      "step": 5570
+    },
+    {
+      "entropy": 5.324404716491699,
+      "epoch": 4.618889809444905,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0003353509997969537,
+      "loss": 4.9982,
+      "mean_token_accuracy": 0.1883559986948967,
+      "num_tokens": 10158584.0,
+      "step": 5575
+    },
+    {
+      "entropy": 5.366722822189331,
+      "epoch": 4.623032311516155,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00033504309269056484,
+      "loss": 4.968,
+      "mean_token_accuracy": 0.19045166224241256,
+      "num_tokens": 10167657.0,
+      "step": 5580
+    },
+    {
+      "entropy": 5.274179601669312,
+      "epoch": 4.6271748135874065,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003347350644706965,
+      "loss": 4.8462,
+      "mean_token_accuracy": 0.1975993499159813,
+      "num_tokens": 10176657.0,
+      "step": 5585
+    },
+    {
+      "entropy": 5.3866353034973145,
+      "epoch": 4.631317315658658,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003344269157586754,
+      "loss": 4.9669,
+      "mean_token_accuracy": 0.19621438384056092,
+      "num_tokens": 10185132.0,
+      "step": 5590
+    },
+    {
+      "entropy": 5.304204607009888,
+      "epoch": 4.635459817729909,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00033411864717607114,
+      "loss": 4.8497,
+      "mean_token_accuracy": 0.19386404007673264,
+      "num_tokens": 10193428.0,
+      "step": 5595
+    },
+    {
+      "entropy": 5.324200677871704,
+      "epoch": 4.63960231980116,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0003338102593446951,
+      "loss": 5.0163,
+      "mean_token_accuracy": 0.18838184028863908,
+      "num_tokens": 10202549.0,
+      "step": 5600
+    },
+    {
+      "entropy": 5.341615533828735,
+      "epoch": 4.643744821872411,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00033350175288659925,
+      "loss": 4.8885,
+      "mean_token_accuracy": 0.1946927636861801,
+      "num_tokens": 10211161.0,
+      "step": 5605
+    },
+    {
+      "entropy": 5.309947538375854,
+      "epoch": 4.647887323943662,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00033319312842407483,
+      "loss": 4.9923,
+      "mean_token_accuracy": 0.18832400739192962,
+      "num_tokens": 10220988.0,
+      "step": 5610
+    },
+    {
+      "entropy": 5.2807288646698,
+      "epoch": 4.652029826014913,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003328843865796511,
+      "loss": 4.8873,
+      "mean_token_accuracy": 0.19748056083917617,
+      "num_tokens": 10229383.0,
+      "step": 5615
+    },
+    {
+      "entropy": 5.421126461029052,
+      "epoch": 4.656172328086164,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033257552797609426,
+      "loss": 4.9686,
+      "mean_token_accuracy": 0.18525946289300918,
+      "num_tokens": 10238622.0,
+      "step": 5620
+    },
+    {
+      "entropy": 5.506065034866333,
+      "epoch": 4.660314830157415,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00033226655323640553,
+      "loss": 5.0677,
+      "mean_token_accuracy": 0.18611674308776854,
+      "num_tokens": 10248201.0,
+      "step": 5625
+    },
+    {
+      "entropy": 5.445924186706543,
+      "epoch": 4.664457332228666,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000331957462983821,
+      "loss": 5.0837,
+      "mean_token_accuracy": 0.17612475752830506,
+      "num_tokens": 10258239.0,
+      "step": 5630
+    },
+    {
+      "entropy": 5.377671623229981,
+      "epoch": 4.668599834299917,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0003316482578418094,
+      "loss": 4.9675,
+      "mean_token_accuracy": 0.1935265153646469,
+      "num_tokens": 10266915.0,
+      "step": 5635
+    },
+    {
+      "entropy": 5.348722076416015,
+      "epoch": 4.672742336371169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00033133893843407126,
+      "loss": 5.0783,
+      "mean_token_accuracy": 0.18859633952379226,
+      "num_tokens": 10276826.0,
+      "step": 5640
+    },
+    {
+      "entropy": 5.327623510360718,
+      "epoch": 4.676884838442419,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00033102950538453776,
+      "loss": 4.9912,
+      "mean_token_accuracy": 0.19163501411676406,
+      "num_tokens": 10286041.0,
+      "step": 5645
+    },
+    {
+      "entropy": 5.367205619812012,
+      "epoch": 4.68102734051367,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00033071995931736897,
+      "loss": 5.0151,
+      "mean_token_accuracy": 0.19023409783840178,
+      "num_tokens": 10295258.0,
+      "step": 5650
+    },
+    {
+      "entropy": 5.404719638824463,
+      "epoch": 4.685169842584921,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00033041030085695323,
+      "loss": 4.9423,
+      "mean_token_accuracy": 0.19237637221813203,
+      "num_tokens": 10304726.0,
+      "step": 5655
+    },
+    {
+      "entropy": 5.34141435623169,
+      "epoch": 4.689312344656172,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003301005306279055,
+      "loss": 4.8745,
+      "mean_token_accuracy": 0.2018929526209831,
+      "num_tokens": 10312912.0,
+      "step": 5660
+    },
+    {
+      "entropy": 5.300086307525635,
+      "epoch": 4.693454846727423,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00032979064925506627,
+      "loss": 4.9743,
+      "mean_token_accuracy": 0.18896473944187164,
+      "num_tokens": 10322046.0,
+      "step": 5665
+    },
+    {
+      "entropy": 5.290521335601807,
+      "epoch": 4.697597348798674,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003294806573634999,
+      "loss": 4.9263,
+      "mean_token_accuracy": 0.206088125705719,
+      "num_tokens": 10331375.0,
+      "step": 5670
+    },
+    {
+      "entropy": 5.353716802597046,
+      "epoch": 4.7017398508699255,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003291705555784942,
+      "loss": 5.0624,
+      "mean_token_accuracy": 0.18850265592336654,
+      "num_tokens": 10341465.0,
+      "step": 5675
+    },
+    {
+      "entropy": 5.466339874267578,
+      "epoch": 4.705882352941177,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00032886034452555814,
+      "loss": 5.052,
+      "mean_token_accuracy": 0.18991907685995102,
+      "num_tokens": 10350137.0,
+      "step": 5680
+    },
+    {
+      "entropy": 5.3118266582489015,
+      "epoch": 4.710024855012428,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003285500248304214,
+      "loss": 4.9502,
+      "mean_token_accuracy": 0.1877942368388176,
+      "num_tokens": 10358666.0,
+      "step": 5685
+    },
+    {
+      "entropy": 5.319189500808716,
+      "epoch": 4.714167357083679,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003282395971190328,
+      "loss": 4.8375,
+      "mean_token_accuracy": 0.19829211980104447,
+      "num_tokens": 10366910.0,
+      "step": 5690
+    },
+    {
+      "entropy": 5.377291250228882,
+      "epoch": 4.71830985915493,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032792906201755876,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19080002307891847,
+      "num_tokens": 10376435.0,
+      "step": 5695
+    },
+    {
+      "entropy": 5.293179368972778,
+      "epoch": 4.72245236122618,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00032761842015238256,
+      "loss": 4.8965,
+      "mean_token_accuracy": 0.2024861231446266,
+      "num_tokens": 10384670.0,
+      "step": 5700
+    },
+    {
+      "entropy": 5.261117172241211,
+      "epoch": 4.726594863297431,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003273076721501029,
+      "loss": 4.8845,
+      "mean_token_accuracy": 0.1939824104309082,
+      "num_tokens": 10393731.0,
+      "step": 5705
+    },
+    {
+      "entropy": 5.386179351806641,
+      "epoch": 4.730737365368682,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003269968186375325,
+      "loss": 4.9916,
+      "mean_token_accuracy": 0.19829274713993073,
+      "num_tokens": 10402369.0,
+      "step": 5710
+    },
+    {
+      "entropy": 5.379951667785645,
+      "epoch": 4.7348798674399335,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003266858602416967,
+      "loss": 4.9801,
+      "mean_token_accuracy": 0.1936841771006584,
+      "num_tokens": 10411566.0,
+      "step": 5715
+    },
+    {
+      "entropy": 5.384341192245484,
+      "epoch": 4.739022369511185,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032637479758983255,
+      "loss": 5.0294,
+      "mean_token_accuracy": 0.18491634279489516,
+      "num_tokens": 10420086.0,
+      "step": 5720
+    },
+    {
+      "entropy": 5.409085655212403,
+      "epoch": 4.743164871582436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00032606363130938766,
+      "loss": 5.0704,
+      "mean_token_accuracy": 0.18897949457168578,
+      "num_tokens": 10429746.0,
+      "step": 5725
+    },
+    {
+      "entropy": 5.349277639389038,
+      "epoch": 4.747307373653687,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0003257523620280181,
+      "loss": 4.9498,
+      "mean_token_accuracy": 0.19129680693149567,
+      "num_tokens": 10438536.0,
+      "step": 5730
+    },
+    {
+      "entropy": 5.348873805999756,
+      "epoch": 4.751449875724938,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00032544099037358834,
+      "loss": 4.9497,
+      "mean_token_accuracy": 0.19692206382751465,
+      "num_tokens": 10447471.0,
+      "step": 5735
+    },
+    {
+      "entropy": 5.33362455368042,
+      "epoch": 4.755592377796189,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003251295169741688,
+      "loss": 4.962,
+      "mean_token_accuracy": 0.1995266228914261,
+      "num_tokens": 10457179.0,
+      "step": 5740
+    },
+    {
+      "entropy": 5.327010250091552,
+      "epoch": 4.75973487986744,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00032481794245803536,
+      "loss": 5.0295,
+      "mean_token_accuracy": 0.18461760133504868,
+      "num_tokens": 10466291.0,
+      "step": 5745
+    },
+    {
+      "entropy": 5.323912620544434,
+      "epoch": 4.763877381938691,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00032450626745366806,
+      "loss": 4.9102,
+      "mean_token_accuracy": 0.19402227252721788,
+      "num_tokens": 10475452.0,
+      "step": 5750
+    },
+    {
+      "entropy": 5.306818199157715,
+      "epoch": 4.768019884009942,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00032419449258974924,
+      "loss": 4.8753,
+      "mean_token_accuracy": 0.20045212656259537,
+      "num_tokens": 10484381.0,
+      "step": 5755
+    },
+    {
+      "entropy": 5.342190933227539,
+      "epoch": 4.7721623860811935,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000323882618495163,
+      "loss": 5.0665,
+      "mean_token_accuracy": 0.1831491023302078,
+      "num_tokens": 10495132.0,
+      "step": 5760
+    },
+    {
+      "entropy": 5.351349258422852,
+      "epoch": 4.776304888152444,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003235706457989934,
+      "loss": 5.0246,
+      "mean_token_accuracy": 0.1850237250328064,
+      "num_tokens": 10504519.0,
+      "step": 5765
+    },
+    {
+      "entropy": 5.387107896804809,
+      "epoch": 4.780447390223695,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032325857513052354,
+      "loss": 4.9654,
+      "mean_token_accuracy": 0.19212980419397355,
+      "num_tokens": 10513575.0,
+      "step": 5770
+    },
+    {
+      "entropy": 5.396086692810059,
+      "epoch": 4.784589892294946,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000322946407119234,
+      "loss": 5.0554,
+      "mean_token_accuracy": 0.18998173326253892,
+      "num_tokens": 10522148.0,
+      "step": 5775
+    },
+    {
+      "entropy": 5.361077404022216,
+      "epoch": 4.788732394366197,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032263414239480187,
+      "loss": 4.9891,
+      "mean_token_accuracy": 0.18589809089899062,
+      "num_tokens": 10531183.0,
+      "step": 5780
+    },
+    {
+      "entropy": 5.342947483062744,
+      "epoch": 4.792874896437448,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.000322321781587099,
+      "loss": 4.9298,
+      "mean_token_accuracy": 0.19391343146562576,
+      "num_tokens": 10540677.0,
+      "step": 5785
+    },
+    {
+      "entropy": 5.276329088211059,
+      "epoch": 4.797017398508699,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003220093253261915,
+      "loss": 4.9342,
+      "mean_token_accuracy": 0.18589555770158767,
+      "num_tokens": 10550009.0,
+      "step": 5790
+    },
+    {
+      "entropy": 5.315787076950073,
+      "epoch": 4.80115990057995,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003216967742423377,
+      "loss": 4.9621,
+      "mean_token_accuracy": 0.19312297254800798,
+      "num_tokens": 10559694.0,
+      "step": 5795
+    },
+    {
+      "entropy": 5.339448022842407,
+      "epoch": 4.8053024026512015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003213841289659872,
+      "loss": 4.9613,
+      "mean_token_accuracy": 0.20080769211053848,
+      "num_tokens": 10567965.0,
+      "step": 5800
+    },
+    {
+      "entropy": 5.312955284118653,
+      "epoch": 4.809444904722453,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003210713901277799,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.19690640568733214,
+      "num_tokens": 10577653.0,
+      "step": 5805
+    },
+    {
+      "entropy": 5.359428977966308,
+      "epoch": 4.813587406793704,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000320758558358544,
+      "loss": 4.9728,
+      "mean_token_accuracy": 0.18951950818300248,
+      "num_tokens": 10586903.0,
+      "step": 5810
+    },
+    {
+      "entropy": 5.302858638763428,
+      "epoch": 4.817729908864955,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003204456342892955,
+      "loss": 4.8829,
+      "mean_token_accuracy": 0.19500194638967513,
+      "num_tokens": 10595411.0,
+      "step": 5815
+    },
+    {
+      "entropy": 5.321697616577149,
+      "epoch": 4.821872410936205,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00032013261855123637,
+      "loss": 4.9475,
+      "mean_token_accuracy": 0.1907385230064392,
+      "num_tokens": 10604147.0,
+      "step": 5820
+    },
+    {
+      "entropy": 5.368891286849975,
+      "epoch": 4.826014913007457,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00031981951177575366,
+      "loss": 5.0445,
+      "mean_token_accuracy": 0.1850367307662964,
+      "num_tokens": 10614048.0,
+      "step": 5825
+    },
+    {
+      "entropy": 5.374803781509399,
+      "epoch": 4.830157415078707,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003195063145944178,
+      "loss": 5.0779,
+      "mean_token_accuracy": 0.18388603180646895,
+      "num_tokens": 10623399.0,
+      "step": 5830
+    },
+    {
+      "entropy": 5.389354228973389,
+      "epoch": 4.834299917149958,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003191930276389819,
+      "loss": 4.9183,
+      "mean_token_accuracy": 0.19506800919771194,
+      "num_tokens": 10632627.0,
+      "step": 5835
+    },
+    {
+      "entropy": 5.401239061355591,
+      "epoch": 4.838442419221209,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00031887965154137987,
+      "loss": 4.9726,
+      "mean_token_accuracy": 0.1816769301891327,
+      "num_tokens": 10641155.0,
+      "step": 5840
+    },
+    {
+      "entropy": 5.354168939590454,
+      "epoch": 4.8425849212924605,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003185661869337255,
+      "loss": 5.0118,
+      "mean_token_accuracy": 0.18452974855899812,
+      "num_tokens": 10649661.0,
+      "step": 5845
+    },
+    {
+      "entropy": 5.265790605545044,
+      "epoch": 4.846727423363712,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00031825263444831137,
+      "loss": 4.9151,
+      "mean_token_accuracy": 0.19235364347696304,
+      "num_tokens": 10658652.0,
+      "step": 5850
+    },
+    {
+      "entropy": 5.3790277481079105,
+      "epoch": 4.850869925434963,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003179389947176069,
+      "loss": 5.0445,
+      "mean_token_accuracy": 0.1886226385831833,
+      "num_tokens": 10668703.0,
+      "step": 5855
+    },
+    {
+      "entropy": 5.385872554779053,
+      "epoch": 4.855012427506214,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003176252683742578,
+      "loss": 4.9484,
+      "mean_token_accuracy": 0.19056980460882186,
+      "num_tokens": 10677740.0,
+      "step": 5860
+    },
+    {
+      "entropy": 5.347926044464112,
+      "epoch": 4.859154929577465,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003173114560510843,
+      "loss": 4.9447,
+      "mean_token_accuracy": 0.18929830342531204,
+      "num_tokens": 10686429.0,
+      "step": 5865
+    },
+    {
+      "entropy": 5.332098054885864,
+      "epoch": 4.863297431648716,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00031699755838108027,
+      "loss": 5.0442,
+      "mean_token_accuracy": 0.1941297546029091,
+      "num_tokens": 10696367.0,
+      "step": 5870
+    },
+    {
+      "entropy": 5.310936546325683,
+      "epoch": 4.867439933719967,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003166835759974115,
+      "loss": 4.9902,
+      "mean_token_accuracy": 0.1873769447207451,
+      "num_tokens": 10705712.0,
+      "step": 5875
+    },
+    {
+      "entropy": 5.371630382537842,
+      "epoch": 4.871582435791218,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031636950953341486,
+      "loss": 5.0345,
+      "mean_token_accuracy": 0.18638068735599517,
+      "num_tokens": 10715897.0,
+      "step": 5880
+    },
+    {
+      "entropy": 5.3334348678588865,
+      "epoch": 4.8757249378624685,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00031605535962259666,
+      "loss": 4.9268,
+      "mean_token_accuracy": 0.1887778237462044,
+      "num_tokens": 10724810.0,
+      "step": 5885
+    },
+    {
+      "entropy": 5.353308916091919,
+      "epoch": 4.87986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003157411268986316,
+      "loss": 4.9771,
+      "mean_token_accuracy": 0.1932398796081543,
+      "num_tokens": 10734661.0,
+      "step": 5890
+    },
+    {
+      "entropy": 5.287876415252685,
+      "epoch": 4.884009942004971,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003154268119953615,
+      "loss": 4.9586,
+      "mean_token_accuracy": 0.19356854259967804,
+      "num_tokens": 10743642.0,
+      "step": 5895
+    },
+    {
+      "entropy": 5.344345998764038,
+      "epoch": 4.888152444076222,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003151124155467938,
+      "loss": 4.9607,
+      "mean_token_accuracy": 0.19625648856163025,
+      "num_tokens": 10752812.0,
+      "step": 5900
+    },
+    {
+      "entropy": 5.3407337188720705,
+      "epoch": 4.892294946147473,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00031479793818710056,
+      "loss": 4.9983,
+      "mean_token_accuracy": 0.18306475579738618,
+      "num_tokens": 10762117.0,
+      "step": 5905
+    },
+    {
+      "entropy": 5.299752902984619,
+      "epoch": 4.896437448218724,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031448338055061685,
+      "loss": 4.9018,
+      "mean_token_accuracy": 0.19901909530162812,
+      "num_tokens": 10771515.0,
+      "step": 5910
+    },
+    {
+      "entropy": 5.309285831451416,
+      "epoch": 4.900579950289975,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00031416874327183994,
+      "loss": 4.9486,
+      "mean_token_accuracy": 0.19302618503570557,
+      "num_tokens": 10780610.0,
+      "step": 5915
+    },
+    {
+      "entropy": 5.22410569190979,
+      "epoch": 4.904722452361226,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031385402698542753,
+      "loss": 4.9151,
+      "mean_token_accuracy": 0.19276074767112733,
+      "num_tokens": 10789169.0,
+      "step": 5920
+    },
+    {
+      "entropy": 5.30161485671997,
+      "epoch": 4.908864954432477,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031353923232619674,
+      "loss": 4.9078,
+      "mean_token_accuracy": 0.19779694378376006,
+      "num_tokens": 10798636.0,
+      "step": 5925
+    },
+    {
+      "entropy": 5.3571271896362305,
+      "epoch": 4.9130074565037285,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003132243599291229,
+      "loss": 4.9753,
+      "mean_token_accuracy": 0.19644105434417725,
+      "num_tokens": 10808245.0,
+      "step": 5930
+    },
+    {
+      "entropy": 5.384200191497802,
+      "epoch": 4.91714995857498,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00031290941042933797,
+      "loss": 4.9679,
+      "mean_token_accuracy": 0.18787674605846405,
+      "num_tokens": 10817164.0,
+      "step": 5935
+    },
+    {
+      "entropy": 5.287544202804566,
+      "epoch": 4.92129246064623,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031259438446212953,
+      "loss": 5.0007,
+      "mean_token_accuracy": 0.18373542726039888,
+      "num_tokens": 10826098.0,
+      "step": 5940
+    },
+    {
+      "entropy": 5.33493857383728,
+      "epoch": 4.925434962717482,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00031227928266293933,
+      "loss": 5.0115,
+      "mean_token_accuracy": 0.18100205808877945,
+      "num_tokens": 10836427.0,
+      "step": 5945
+    },
+    {
+      "entropy": 5.345344829559326,
+      "epoch": 4.929577464788732,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00031196410566736215,
+      "loss": 4.9689,
+      "mean_token_accuracy": 0.19277302771806717,
+      "num_tokens": 10845804.0,
+      "step": 5950
+    },
+    {
+      "entropy": 5.3519449710845945,
+      "epoch": 4.933719966859983,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00031164885411114453,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.1908810630440712,
+      "num_tokens": 10855951.0,
+      "step": 5955
+    },
+    {
+      "entropy": 5.301464605331421,
+      "epoch": 4.937862468931234,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031133352863018315,
+      "loss": 5.079,
+      "mean_token_accuracy": 0.18923453092575074,
+      "num_tokens": 10865528.0,
+      "step": 5960
+    },
+    {
+      "entropy": 5.369193601608276,
+      "epoch": 4.942004971002485,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00031101812986052406,
+      "loss": 4.9936,
+      "mean_token_accuracy": 0.19839225262403487,
+      "num_tokens": 10874365.0,
+      "step": 5965
+    },
+    {
+      "entropy": 5.310976552963257,
+      "epoch": 4.9461474730737365,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00031070265843836107,
+      "loss": 4.9184,
+      "mean_token_accuracy": 0.1972976267337799,
+      "num_tokens": 10883034.0,
+      "step": 5970
+    },
+    {
+      "entropy": 5.323369884490967,
+      "epoch": 4.950289975144988,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003103871150000345,
+      "loss": 4.9768,
+      "mean_token_accuracy": 0.1961338758468628,
+      "num_tokens": 10892307.0,
+      "step": 5975
+    },
+    {
+      "entropy": 5.354686069488525,
+      "epoch": 4.954432477216239,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00031007150018202983,
+      "loss": 5.057,
+      "mean_token_accuracy": 0.18536237627267838,
+      "num_tokens": 10902074.0,
+      "step": 5980
+    },
+    {
+      "entropy": 5.372721862792969,
+      "epoch": 4.95857497928749,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00030975581462097673,
+      "loss": 4.8961,
+      "mean_token_accuracy": 0.19350670725107194,
+      "num_tokens": 10911205.0,
+      "step": 5985
+    },
+    {
+      "entropy": 5.278085422515869,
+      "epoch": 4.962717481358741,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00030944005895364754,
+      "loss": 4.9233,
+      "mean_token_accuracy": 0.19045489132404328,
+      "num_tokens": 10920371.0,
+      "step": 5990
+    },
+    {
+      "entropy": 5.219862222671509,
+      "epoch": 4.966859983429992,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00030912423381695584,
+      "loss": 4.9124,
+      "mean_token_accuracy": 0.20015972554683686,
+      "num_tokens": 10928741.0,
+      "step": 5995
+    },
+    {
+      "entropy": 5.3216063499450685,
+      "epoch": 4.971002485501243,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00030880833984795554,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.20140086114406586,
+      "num_tokens": 10938074.0,
+      "step": 6000
+    },
+    {
+      "epoch": 4.971002485501243,
+      "eval_entropy": 5.223882782942196,
+      "eval_loss": 5.772702217102051,
+      "eval_mean_token_accuracy": 0.16291698060437307,
+      "eval_num_tokens": 10938074.0,
+      "eval_runtime": 2.7438,
+      "eval_samples_per_second": 1365.624,
+      "eval_steps_per_second": 170.931,
+      "step": 6000
+    },
+    {
+      "entropy": 5.304221105575562,
+      "epoch": 4.975144987572493,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0003084923776838392,
+      "loss": 4.9428,
+      "mean_token_accuracy": 0.1906152918934822,
+      "num_tokens": 10946756.0,
+      "step": 6005
+    },
+    {
+      "entropy": 5.28564419746399,
+      "epoch": 4.9792874896437445,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00030817634796193705,
+      "loss": 4.9192,
+      "mean_token_accuracy": 0.19711493700742722,
+      "num_tokens": 10956313.0,
+      "step": 6010
+    },
+    {
+      "entropy": 5.420253419876099,
+      "epoch": 4.983429991714996,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00030786025131971555,
+      "loss": 4.9823,
+      "mean_token_accuracy": 0.19457563310861586,
+      "num_tokens": 10964333.0,
+      "step": 6015
+    },
+    {
+      "entropy": 5.329161500930786,
+      "epoch": 4.987572493786247,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003075440883947764,
+      "loss": 4.8999,
+      "mean_token_accuracy": 0.19664130955934525,
+      "num_tokens": 10974110.0,
+      "step": 6020
+    },
+    {
+      "entropy": 5.248602771759034,
+      "epoch": 4.991714995857498,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003072278598248544,
+      "loss": 4.9529,
+      "mean_token_accuracy": 0.19656815081834794,
+      "num_tokens": 10983186.0,
+      "step": 6025
+    },
+    {
+      "entropy": 5.307998704910278,
+      "epoch": 4.995857497928749,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00030691156624781734,
+      "loss": 4.9377,
+      "mean_token_accuracy": 0.19932860583066941,
+      "num_tokens": 10992244.0,
+      "step": 6030
+    },
+    {
+      "entropy": 5.353039836883545,
+      "epoch": 5.0,
+      "grad_norm": 1.8515625,
+      "learning_rate": 0.000306595208301664,
+      "loss": 4.927,
+      "mean_token_accuracy": 0.20540354549884796,
+      "num_tokens": 11000005.0,
+      "step": 6035
+    },
+    {
+      "entropy": 5.336960649490356,
+      "epoch": 5.004142502071251,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00030627878662452273,
+      "loss": 4.7717,
+      "mean_token_accuracy": 0.20522954761981965,
+      "num_tokens": 11009346.0,
+      "step": 6040
+    },
+    {
+      "entropy": 5.356115531921387,
+      "epoch": 5.008285004142502,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003059623018546508,
+      "loss": 4.7197,
+      "mean_token_accuracy": 0.2092713624238968,
+      "num_tokens": 11017844.0,
+      "step": 6045
+    },
+    {
+      "entropy": 5.362998294830322,
+      "epoch": 5.012427506213753,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003056457546304326,
+      "loss": 4.7531,
+      "mean_token_accuracy": 0.21363187432289124,
+      "num_tokens": 11026840.0,
+      "step": 6050
+    },
+    {
+      "entropy": 5.250718975067139,
+      "epoch": 5.016570008285004,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003053291455903782,
+      "loss": 4.7186,
+      "mean_token_accuracy": 0.2076275572180748,
+      "num_tokens": 11034906.0,
+      "step": 6055
+    },
+    {
+      "entropy": 5.263190746307373,
+      "epoch": 5.0207125103562555,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00030501247537312293,
+      "loss": 4.7802,
+      "mean_token_accuracy": 0.20651286244392394,
+      "num_tokens": 11044403.0,
+      "step": 6060
+    },
+    {
+      "entropy": 5.360515308380127,
+      "epoch": 5.024855012427507,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0003046957446174251,
+      "loss": 4.7387,
+      "mean_token_accuracy": 0.21264788061380385,
+      "num_tokens": 11052685.0,
+      "step": 6065
+    },
+    {
+      "entropy": 5.316996622085571,
+      "epoch": 5.028997514498757,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00030437895396216524,
+      "loss": 4.591,
+      "mean_token_accuracy": 0.21709324419498444,
+      "num_tokens": 11060830.0,
+      "step": 6070
+    },
+    {
+      "entropy": 5.315813970565796,
+      "epoch": 5.033140016570008,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.00030406210404634475,
+      "loss": 4.7708,
+      "mean_token_accuracy": 0.20373892933130264,
+      "num_tokens": 11070220.0,
+      "step": 6075
+    },
+    {
+      "entropy": 5.294347095489502,
+      "epoch": 5.037282518641259,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003037451955090846,
+      "loss": 4.6847,
+      "mean_token_accuracy": 0.20420003384351731,
+      "num_tokens": 11079171.0,
+      "step": 6080
+    },
+    {
+      "entropy": 5.297221279144287,
+      "epoch": 5.04142502071251,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00030342822898962377,
+      "loss": 4.7697,
+      "mean_token_accuracy": 0.20524269640445708,
+      "num_tokens": 11089205.0,
+      "step": 6085
+    },
+    {
+      "entropy": 5.273457336425781,
+      "epoch": 5.045567522783761,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003031112051273185,
+      "loss": 4.7429,
+      "mean_token_accuracy": 0.21156702935695648,
+      "num_tokens": 11098339.0,
+      "step": 6090
+    },
+    {
+      "entropy": 5.299424123764038,
+      "epoch": 5.049710024855012,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003027941245616405,
+      "loss": 4.6524,
+      "mean_token_accuracy": 0.21203886568546296,
+      "num_tokens": 11107218.0,
+      "step": 6095
+    },
+    {
+      "entropy": 5.3286974906921385,
+      "epoch": 5.0538525269262635,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003024769879321761,
+      "loss": 4.7702,
+      "mean_token_accuracy": 0.2051073744893074,
+      "num_tokens": 11116457.0,
+      "step": 6100
+    },
+    {
+      "entropy": 5.300696182250976,
+      "epoch": 5.057995028997515,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0003021597958786243,
+      "loss": 4.7449,
+      "mean_token_accuracy": 0.20762935131788254,
+      "num_tokens": 11124834.0,
+      "step": 6105
+    },
+    {
+      "entropy": 5.288244676589966,
+      "epoch": 5.062137531068766,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003018425490407962,
+      "loss": 4.76,
+      "mean_token_accuracy": 0.20868725776672364,
+      "num_tokens": 11133920.0,
+      "step": 6110
+    },
+    {
+      "entropy": 5.387529897689819,
+      "epoch": 5.066280033140017,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00030152524805861344,
+      "loss": 4.7597,
+      "mean_token_accuracy": 0.20800695270299913,
+      "num_tokens": 11143573.0,
+      "step": 6115
+    },
+    {
+      "entropy": 5.3629701137542725,
+      "epoch": 5.070422535211268,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00030120789357210667,
+      "loss": 4.8139,
+      "mean_token_accuracy": 0.20669919848442078,
+      "num_tokens": 11154255.0,
+      "step": 6120
+    },
+    {
+      "entropy": 5.300123262405395,
+      "epoch": 5.074565037282519,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00030089048622141453,
+      "loss": 4.7241,
+      "mean_token_accuracy": 0.2095050945878029,
+      "num_tokens": 11163306.0,
+      "step": 6125
+    },
+    {
+      "entropy": 5.368470001220703,
+      "epoch": 5.078707539353769,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00030057302664678243,
+      "loss": 4.7569,
+      "mean_token_accuracy": 0.20853464156389237,
+      "num_tokens": 11172763.0,
+      "step": 6130
+    },
+    {
+      "entropy": 5.33392744064331,
+      "epoch": 5.08285004142502,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00030025551548856105,
+      "loss": 4.7413,
+      "mean_token_accuracy": 0.20951523035764694,
+      "num_tokens": 11182196.0,
+      "step": 6135
+    },
+    {
+      "entropy": 5.287980794906616,
+      "epoch": 5.0869925434962715,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002999379533872051,
+      "loss": 4.7905,
+      "mean_token_accuracy": 0.19804110527038574,
+      "num_tokens": 11192462.0,
+      "step": 6140
+    },
+    {
+      "entropy": 5.281665325164795,
+      "epoch": 5.091135045567523,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002996203409832719,
+      "loss": 4.7519,
+      "mean_token_accuracy": 0.2107569918036461,
+      "num_tokens": 11201805.0,
+      "step": 6145
+    },
+    {
+      "entropy": 5.31660532951355,
+      "epoch": 5.095277547638774,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002993026789174205,
+      "loss": 4.7322,
+      "mean_token_accuracy": 0.21754502654075622,
+      "num_tokens": 11210114.0,
+      "step": 6150
+    },
+    {
+      "entropy": 5.335706996917724,
+      "epoch": 5.099420049710025,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002989849678304099,
+      "loss": 4.8147,
+      "mean_token_accuracy": 0.20241696387529373,
+      "num_tokens": 11219725.0,
+      "step": 6155
+    },
+    {
+      "entropy": 5.308135366439819,
+      "epoch": 5.103562551781276,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00029866720836309817,
+      "loss": 4.7283,
+      "mean_token_accuracy": 0.20736500322818757,
+      "num_tokens": 11228583.0,
+      "step": 6160
+    },
+    {
+      "entropy": 5.3292882442474365,
+      "epoch": 5.107705053852527,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00029834940115644086,
+      "loss": 4.7472,
+      "mean_token_accuracy": 0.20635622441768647,
+      "num_tokens": 11237787.0,
+      "step": 6165
+    },
+    {
+      "entropy": 5.2917111873626705,
+      "epoch": 5.111847555923778,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002980315468514898,
+      "loss": 4.7704,
+      "mean_token_accuracy": 0.20057149082422257,
+      "num_tokens": 11247136.0,
+      "step": 6170
+    },
+    {
+      "entropy": 5.239889097213745,
+      "epoch": 5.115990057995029,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00029771364608939196,
+      "loss": 4.6994,
+      "mean_token_accuracy": 0.20981708765029908,
+      "num_tokens": 11256931.0,
+      "step": 6175
+    },
+    {
+      "entropy": 5.272354030609131,
+      "epoch": 5.12013256006628,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002973956995113878,
+      "loss": 4.6811,
+      "mean_token_accuracy": 0.20489206910133362,
+      "num_tokens": 11266457.0,
+      "step": 6180
+    },
+    {
+      "entropy": 5.272558641433716,
+      "epoch": 5.1242750621375315,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.0002970777077588103,
+      "loss": 4.6443,
+      "mean_token_accuracy": 0.2170465260744095,
+      "num_tokens": 11274239.0,
+      "step": 6185
+    },
+    {
+      "entropy": 5.282349872589111,
+      "epoch": 5.128417564208782,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0002967596714730837,
+      "loss": 4.7752,
+      "mean_token_accuracy": 0.20363858938217164,
+      "num_tokens": 11283239.0,
+      "step": 6190
+    },
+    {
+      "entropy": 5.285331869125367,
+      "epoch": 5.132560066280033,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00029644159129572185,
+      "loss": 4.7121,
+      "mean_token_accuracy": 0.2075791761279106,
+      "num_tokens": 11291662.0,
+      "step": 6195
+    },
+    {
+      "entropy": 5.2614960193634035,
+      "epoch": 5.136702568351284,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002961234678683272,
+      "loss": 4.7453,
+      "mean_token_accuracy": 0.21309943348169327,
+      "num_tokens": 11300165.0,
+      "step": 6200
+    },
+    {
+      "entropy": 5.323043155670166,
+      "epoch": 5.140845070422535,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0002958053018325896,
+      "loss": 4.7132,
+      "mean_token_accuracy": 0.21612811386585234,
+      "num_tokens": 11309729.0,
+      "step": 6205
+    },
+    {
+      "entropy": 5.375712585449219,
+      "epoch": 5.144987572493786,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002954870938302846,
+      "loss": 4.7657,
+      "mean_token_accuracy": 0.2033802881836891,
+      "num_tokens": 11318674.0,
+      "step": 6210
+    },
+    {
+      "entropy": 5.292187595367432,
+      "epoch": 5.149130074565037,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002951688445032726,
+      "loss": 4.7309,
+      "mean_token_accuracy": 0.21144932359457017,
+      "num_tokens": 11327583.0,
+      "step": 6215
+    },
+    {
+      "entropy": 5.326848030090332,
+      "epoch": 5.153272576636288,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002948505544934971,
+      "loss": 4.7639,
+      "mean_token_accuracy": 0.2049189493060112,
+      "num_tokens": 11338132.0,
+      "step": 6220
+    },
+    {
+      "entropy": 5.31851224899292,
+      "epoch": 5.1574150787075395,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000294532224442984,
+      "loss": 4.7911,
+      "mean_token_accuracy": 0.20397177040576936,
+      "num_tokens": 11347210.0,
+      "step": 6225
+    },
+    {
+      "entropy": 5.275168132781983,
+      "epoch": 5.161557580778791,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00029421385499383976,
+      "loss": 4.6742,
+      "mean_token_accuracy": 0.22349916100502015,
+      "num_tokens": 11355479.0,
+      "step": 6230
+    },
+    {
+      "entropy": 5.348278999328613,
+      "epoch": 5.165700082850042,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00029389544678825035,
+      "loss": 4.8403,
+      "mean_token_accuracy": 0.19372698813676834,
+      "num_tokens": 11364518.0,
+      "step": 6235
+    },
+    {
+      "entropy": 5.247139596939087,
+      "epoch": 5.169842584921293,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00029357700046847985,
+      "loss": 4.737,
+      "mean_token_accuracy": 0.2046540141105652,
+      "num_tokens": 11373589.0,
+      "step": 6240
+    },
+    {
+      "entropy": 5.368101263046265,
+      "epoch": 5.173985086992544,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002932585166768694,
+      "loss": 4.7938,
+      "mean_token_accuracy": 0.20394597351551055,
+      "num_tokens": 11383209.0,
+      "step": 6245
+    },
+    {
+      "entropy": 5.315500497817993,
+      "epoch": 5.178127589063794,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00029293999605583545,
+      "loss": 4.7294,
+      "mean_token_accuracy": 0.20444581657648087,
+      "num_tokens": 11392012.0,
+      "step": 6250
+    },
+    {
+      "entropy": 5.282355690002442,
+      "epoch": 5.182270091135045,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00029262143924786905,
+      "loss": 4.7761,
+      "mean_token_accuracy": 0.20456164181232453,
+      "num_tokens": 11400489.0,
+      "step": 6255
+    },
+    {
+      "entropy": 5.2667319774627686,
+      "epoch": 5.186412593206296,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00029230284689553404,
+      "loss": 4.6817,
+      "mean_token_accuracy": 0.21175160706043245,
+      "num_tokens": 11409337.0,
+      "step": 6260
+    },
+    {
+      "entropy": 5.286681175231934,
+      "epoch": 5.190555095277547,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00029198421964146605,
+      "loss": 4.7382,
+      "mean_token_accuracy": 0.21787525415420533,
+      "num_tokens": 11418650.0,
+      "step": 6265
+    },
+    {
+      "entropy": 5.2383523941040036,
+      "epoch": 5.1946975973487985,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002916655581283709,
+      "loss": 4.747,
+      "mean_token_accuracy": 0.20590767711400987,
+      "num_tokens": 11427516.0,
+      "step": 6270
+    },
+    {
+      "entropy": 5.225810289382935,
+      "epoch": 5.19884009942005,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00029134686299902397,
+      "loss": 4.7223,
+      "mean_token_accuracy": 0.20668105334043502,
+      "num_tokens": 11435676.0,
+      "step": 6275
+    },
+    {
+      "entropy": 5.336339044570923,
+      "epoch": 5.202982601491301,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002910281348962679,
+      "loss": 4.7825,
+      "mean_token_accuracy": 0.1937339723110199,
+      "num_tokens": 11444520.0,
+      "step": 6280
+    },
+    {
+      "entropy": 5.342389440536499,
+      "epoch": 5.207125103562552,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00029070937446301225,
+      "loss": 4.7611,
+      "mean_token_accuracy": 0.20350439995527267,
+      "num_tokens": 11453759.0,
+      "step": 6285
+    },
+    {
+      "entropy": 5.377904796600342,
+      "epoch": 5.211267605633803,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002903905823422317,
+      "loss": 4.9078,
+      "mean_token_accuracy": 0.1901518851518631,
+      "num_tokens": 11463409.0,
+      "step": 6290
+    },
+    {
+      "entropy": 5.323945093154907,
+      "epoch": 5.215410107705054,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002900717591769646,
+      "loss": 4.7966,
+      "mean_token_accuracy": 0.20510322898626326,
+      "num_tokens": 11473440.0,
+      "step": 6295
+    },
+    {
+      "entropy": 5.27484130859375,
+      "epoch": 5.219552609776305,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002897529056103122,
+      "loss": 4.6336,
+      "mean_token_accuracy": 0.2183629482984543,
+      "num_tokens": 11482353.0,
+      "step": 6300
+    },
+    {
+      "entropy": 5.297479438781738,
+      "epoch": 5.223695111847556,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002894340222854371,
+      "loss": 4.7712,
+      "mean_token_accuracy": 0.20640946179628372,
+      "num_tokens": 11491331.0,
+      "step": 6305
+    },
+    {
+      "entropy": 5.215849542617798,
+      "epoch": 5.2278376139188065,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002891151098455617,
+      "loss": 4.7107,
+      "mean_token_accuracy": 0.20350281596183778,
+      "num_tokens": 11500553.0,
+      "step": 6310
+    },
+    {
+      "entropy": 5.170541191101075,
+      "epoch": 5.231980115990058,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002887961689339672,
+      "loss": 4.6526,
+      "mean_token_accuracy": 0.21051572561264037,
+      "num_tokens": 11509146.0,
+      "step": 6315
+    },
+    {
+      "entropy": 5.332199335098267,
+      "epoch": 5.236122618061309,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002884772001939924,
+      "loss": 4.7771,
+      "mean_token_accuracy": 0.20190449655056,
+      "num_tokens": 11518172.0,
+      "step": 6320
+    },
+    {
+      "entropy": 5.30375485420227,
+      "epoch": 5.24026512013256,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000288158204269032,
+      "loss": 4.7764,
+      "mean_token_accuracy": 0.19927115142345428,
+      "num_tokens": 11527291.0,
+      "step": 6325
+    },
+    {
+      "entropy": 5.285002279281616,
+      "epoch": 5.244407622203811,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00028783918180253567,
+      "loss": 4.7763,
+      "mean_token_accuracy": 0.20877851247787477,
+      "num_tokens": 11536306.0,
+      "step": 6330
+    },
+    {
+      "entropy": 5.325639486312866,
+      "epoch": 5.248550124275062,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002875201334380066,
+      "loss": 4.801,
+      "mean_token_accuracy": 0.20768691897392272,
+      "num_tokens": 11545879.0,
+      "step": 6335
+    },
+    {
+      "entropy": 5.260626125335693,
+      "epoch": 5.252692626346313,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002872010598190002,
+      "loss": 4.7203,
+      "mean_token_accuracy": 0.21331494748592378,
+      "num_tokens": 11555067.0,
+      "step": 6340
+    },
+    {
+      "entropy": 5.273142910003662,
+      "epoch": 5.256835128417564,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002868819615891229,
+      "loss": 4.699,
+      "mean_token_accuracy": 0.211579430103302,
+      "num_tokens": 11563419.0,
+      "step": 6345
+    },
+    {
+      "entropy": 5.256633758544922,
+      "epoch": 5.260977630488815,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002865628393920305,
+      "loss": 4.7696,
+      "mean_token_accuracy": 0.207663132250309,
+      "num_tokens": 11573018.0,
+      "step": 6350
+    },
+    {
+      "entropy": 5.237578821182251,
+      "epoch": 5.2651201325600665,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.0002862436938714276,
+      "loss": 4.7003,
+      "mean_token_accuracy": 0.20862672179937364,
+      "num_tokens": 11581996.0,
+      "step": 6355
+    },
+    {
+      "entropy": 5.355519008636475,
+      "epoch": 5.269262634631318,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002859245256710654,
+      "loss": 4.7534,
+      "mean_token_accuracy": 0.20775581747293473,
+      "num_tokens": 11591706.0,
+      "step": 6360
+    },
+    {
+      "entropy": 5.319948673248291,
+      "epoch": 5.273405136702569,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002856053354347411,
+      "loss": 4.7813,
+      "mean_token_accuracy": 0.2074725329875946,
+      "num_tokens": 11600616.0,
+      "step": 6365
+    },
+    {
+      "entropy": 5.243834018707275,
+      "epoch": 5.27754763877382,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002852861238062963,
+      "loss": 4.6584,
+      "mean_token_accuracy": 0.21568063348531724,
+      "num_tokens": 11609650.0,
+      "step": 6370
+    },
+    {
+      "entropy": 5.26465950012207,
+      "epoch": 5.28169014084507,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002849668914296157,
+      "loss": 4.6998,
+      "mean_token_accuracy": 0.21142313480377198,
+      "num_tokens": 11618785.0,
+      "step": 6375
+    },
+    {
+      "entropy": 5.305418300628662,
+      "epoch": 5.285832642916321,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000284647638948626,
+      "loss": 4.7576,
+      "mean_token_accuracy": 0.20556087791919708,
+      "num_tokens": 11628089.0,
+      "step": 6380
+    },
+    {
+      "entropy": 5.268257570266724,
+      "epoch": 5.289975144987572,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002843283670072942,
+      "loss": 4.8658,
+      "mean_token_accuracy": 0.19545172303915023,
+      "num_tokens": 11636954.0,
+      "step": 6385
+    },
+    {
+      "entropy": 5.275126600265503,
+      "epoch": 5.294117647058823,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0002840090762496268,
+      "loss": 4.7803,
+      "mean_token_accuracy": 0.20498874336481093,
+      "num_tokens": 11646719.0,
+      "step": 6390
+    },
+    {
+      "entropy": 5.340854024887085,
+      "epoch": 5.2982601491300745,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002836897673196681,
+      "loss": 4.7015,
+      "mean_token_accuracy": 0.20719585418701172,
+      "num_tokens": 11655589.0,
+      "step": 6395
+    },
+    {
+      "entropy": 5.227226972579956,
+      "epoch": 5.302402651201326,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00028337044086149913,
+      "loss": 4.7283,
+      "mean_token_accuracy": 0.20560554265975953,
+      "num_tokens": 11663703.0,
+      "step": 6400
+    },
+    {
+      "entropy": 5.296469211578369,
+      "epoch": 5.306545153272577,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00028305109751923616,
+      "loss": 4.8177,
+      "mean_token_accuracy": 0.20388006865978242,
+      "num_tokens": 11672643.0,
+      "step": 6405
+    },
+    {
+      "entropy": 5.270711994171142,
+      "epoch": 5.310687655343828,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00028273173793702967,
+      "loss": 4.673,
+      "mean_token_accuracy": 0.2078327417373657,
+      "num_tokens": 11681449.0,
+      "step": 6410
+    },
+    {
+      "entropy": 5.301759338378906,
+      "epoch": 5.314830157415079,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002824123627590629,
+      "loss": 4.7568,
+      "mean_token_accuracy": 0.19922166019678117,
+      "num_tokens": 11690820.0,
+      "step": 6415
+    },
+    {
+      "entropy": 5.291653823852539,
+      "epoch": 5.31897265948633,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002820929726295504,
+      "loss": 4.7858,
+      "mean_token_accuracy": 0.2068773627281189,
+      "num_tokens": 11699705.0,
+      "step": 6420
+    },
+    {
+      "entropy": 5.257635831832886,
+      "epoch": 5.323115161557581,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002817735681927371,
+      "loss": 4.7267,
+      "mean_token_accuracy": 0.21190525144338607,
+      "num_tokens": 11709417.0,
+      "step": 6425
+    },
+    {
+      "entropy": 5.305531692504883,
+      "epoch": 5.327257663628831,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00028145415009289644,
+      "loss": 4.7662,
+      "mean_token_accuracy": 0.2035451725125313,
+      "num_tokens": 11718661.0,
+      "step": 6430
+    },
+    {
+      "entropy": 5.240819025039673,
+      "epoch": 5.3314001657000825,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002811347189743297,
+      "loss": 4.7448,
+      "mean_token_accuracy": 0.21049206256866454,
+      "num_tokens": 11727568.0,
+      "step": 6435
+    },
+    {
+      "entropy": 5.250747394561768,
+      "epoch": 5.335542667771334,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00028081527548136446,
+      "loss": 4.6853,
+      "mean_token_accuracy": 0.2216053858399391,
+      "num_tokens": 11736615.0,
+      "step": 6440
+    },
+    {
+      "entropy": 5.348236608505249,
+      "epoch": 5.339685169842585,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002804958202583531,
+      "loss": 4.8181,
+      "mean_token_accuracy": 0.19986798763275146,
+      "num_tokens": 11747458.0,
+      "step": 6445
+    },
+    {
+      "entropy": 5.277511358261108,
+      "epoch": 5.343827671913836,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002801763539496718,
+      "loss": 4.7878,
+      "mean_token_accuracy": 0.2081502467393875,
+      "num_tokens": 11756279.0,
+      "step": 6450
+    },
+    {
+      "entropy": 5.279990530014038,
+      "epoch": 5.347970173985087,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002798568771997188,
+      "loss": 4.7942,
+      "mean_token_accuracy": 0.2071585923433304,
+      "num_tokens": 11765022.0,
+      "step": 6455
+    },
+    {
+      "entropy": 5.2339942932128904,
+      "epoch": 5.352112676056338,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002795373906529137,
+      "loss": 4.7376,
+      "mean_token_accuracy": 0.20560838282108307,
+      "num_tokens": 11774704.0,
+      "step": 6460
+    },
+    {
+      "entropy": 5.248803615570068,
+      "epoch": 5.356255178127589,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002792178949536959,
+      "loss": 4.6784,
+      "mean_token_accuracy": 0.21611350923776626,
+      "num_tokens": 11782309.0,
+      "step": 6465
+    },
+    {
+      "entropy": 5.28652811050415,
+      "epoch": 5.36039768019884,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000278898390746523,
+      "loss": 4.7467,
+      "mean_token_accuracy": 0.20095686316490174,
+      "num_tokens": 11792595.0,
+      "step": 6470
+    },
+    {
+      "entropy": 5.2047077178955075,
+      "epoch": 5.364540182270091,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00027857887867587005,
+      "loss": 4.7269,
+      "mean_token_accuracy": 0.21140239089727403,
+      "num_tokens": 11801536.0,
+      "step": 6475
+    },
+    {
+      "entropy": 5.271708583831787,
+      "epoch": 5.368682684341342,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002782593593862276,
+      "loss": 4.8229,
+      "mean_token_accuracy": 0.19779271334409715,
+      "num_tokens": 11810222.0,
+      "step": 6480
+    },
+    {
+      "entropy": 5.317666244506836,
+      "epoch": 5.3728251864125935,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002779398335221011,
+      "loss": 4.8066,
+      "mean_token_accuracy": 0.20721431225538253,
+      "num_tokens": 11819310.0,
+      "step": 6485
+    },
+    {
+      "entropy": 5.305458688735962,
+      "epoch": 5.376967688483845,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.0002776203017280092,
+      "loss": 4.7703,
+      "mean_token_accuracy": 0.19982181042432784,
+      "num_tokens": 11827916.0,
+      "step": 6490
+    },
+    {
+      "entropy": 5.217341518402099,
+      "epoch": 5.381110190555095,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00027730076464848225,
+      "loss": 4.7654,
+      "mean_token_accuracy": 0.20862893313169478,
+      "num_tokens": 11836770.0,
+      "step": 6495
+    },
+    {
+      "entropy": 5.276216888427735,
+      "epoch": 5.385252692626346,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00027698122292806174,
+      "loss": 4.7006,
+      "mean_token_accuracy": 0.21164953708648682,
+      "num_tokens": 11845917.0,
+      "step": 6500
+    },
+    {
+      "epoch": 5.385252692626346,
+      "eval_entropy": 5.213927641097925,
+      "eval_loss": 5.769200801849365,
+      "eval_mean_token_accuracy": 0.16407465213524508,
+      "eval_num_tokens": 11845917.0,
+      "eval_runtime": 2.9494,
+      "eval_samples_per_second": 1270.426,
+      "eval_steps_per_second": 159.015,
+      "step": 6500
+    },
+    {
+      "entropy": 5.290333843231201,
+      "epoch": 5.389395194697597,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.000276661677211298,
+      "loss": 4.7403,
+      "mean_token_accuracy": 0.20341738760471345,
+      "num_tokens": 11855118.0,
+      "step": 6505
+    },
+    {
+      "entropy": 5.278094148635864,
+      "epoch": 5.393537696768848,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002763421281427497,
+      "loss": 4.6794,
+      "mean_token_accuracy": 0.21257141679525376,
+      "num_tokens": 11863793.0,
+      "step": 6510
+    },
+    {
+      "entropy": 5.368717813491822,
+      "epoch": 5.397680198840099,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002760225763669823,
+      "loss": 4.8171,
+      "mean_token_accuracy": 0.197501078248024,
+      "num_tokens": 11873194.0,
+      "step": 6515
+    },
+    {
+      "entropy": 5.341726636886596,
+      "epoch": 5.40182270091135,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00027570302252856666,
+      "loss": 4.7747,
+      "mean_token_accuracy": 0.20519590526819229,
+      "num_tokens": 11882566.0,
+      "step": 6520
+    },
+    {
+      "entropy": 5.2676441192626955,
+      "epoch": 5.4059652029826015,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00027538346727207767,
+      "loss": 4.7475,
+      "mean_token_accuracy": 0.21314287781715394,
+      "num_tokens": 11892267.0,
+      "step": 6525
+    },
+    {
+      "entropy": 5.272220420837402,
+      "epoch": 5.410107705053853,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002750639112420934,
+      "loss": 4.7716,
+      "mean_token_accuracy": 0.21124217808246612,
+      "num_tokens": 11901440.0,
+      "step": 6530
+    },
+    {
+      "entropy": 5.270874547958374,
+      "epoch": 5.414250207125104,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00027474435508319304,
+      "loss": 4.8396,
+      "mean_token_accuracy": 0.20556266158819197,
+      "num_tokens": 11911259.0,
+      "step": 6535
+    },
+    {
+      "entropy": 5.265343093872071,
+      "epoch": 5.418392709196355,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00027442479943995645,
+      "loss": 4.7941,
+      "mean_token_accuracy": 0.2035036563873291,
+      "num_tokens": 11920467.0,
+      "step": 6540
+    },
+    {
+      "entropy": 5.283535575866699,
+      "epoch": 5.422535211267606,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002741052449569624,
+      "loss": 4.8089,
+      "mean_token_accuracy": 0.19865555614233016,
+      "num_tokens": 11929971.0,
+      "step": 6545
+    },
+    {
+      "entropy": 5.330445003509522,
+      "epoch": 5.426677713338857,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002737856922787869,
+      "loss": 4.8088,
+      "mean_token_accuracy": 0.19926221221685408,
+      "num_tokens": 11938585.0,
+      "step": 6550
+    },
+    {
+      "entropy": 5.301173543930053,
+      "epoch": 5.430820215410108,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027346614205000277,
+      "loss": 4.7884,
+      "mean_token_accuracy": 0.20320066064596176,
+      "num_tokens": 11948264.0,
+      "step": 6555
+    },
+    {
+      "entropy": 5.329202175140381,
+      "epoch": 5.434962717481358,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00027314659491517777,
+      "loss": 4.7827,
+      "mean_token_accuracy": 0.2079697236418724,
+      "num_tokens": 11958459.0,
+      "step": 6560
+    },
+    {
+      "entropy": 5.296626996994019,
+      "epoch": 5.4391052195526095,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002728270515188733,
+      "loss": 4.7728,
+      "mean_token_accuracy": 0.20527158677577972,
+      "num_tokens": 11967994.0,
+      "step": 6565
+    },
+    {
+      "entropy": 5.325187683105469,
+      "epoch": 5.443247721623861,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002725075125056435,
+      "loss": 4.8235,
+      "mean_token_accuracy": 0.21111733317375184,
+      "num_tokens": 11976564.0,
+      "step": 6570
+    },
+    {
+      "entropy": 5.296580266952515,
+      "epoch": 5.447390223695112,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002721879785200333,
+      "loss": 4.7541,
+      "mean_token_accuracy": 0.21026979386806488,
+      "num_tokens": 11985682.0,
+      "step": 6575
+    },
+    {
+      "entropy": 5.34701886177063,
+      "epoch": 5.451532725766363,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002718684502065777,
+      "loss": 4.8138,
+      "mean_token_accuracy": 0.20367322415113448,
+      "num_tokens": 11995098.0,
+      "step": 6580
+    },
+    {
+      "entropy": 5.3261590003967285,
+      "epoch": 5.455675227837614,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00027154892820980024,
+      "loss": 4.8096,
+      "mean_token_accuracy": 0.206008443236351,
+      "num_tokens": 12004538.0,
+      "step": 6585
+    },
+    {
+      "entropy": 5.262662792205811,
+      "epoch": 5.459817729908865,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00027122941317421175,
+      "loss": 4.741,
+      "mean_token_accuracy": 0.21086378544569015,
+      "num_tokens": 12012568.0,
+      "step": 6590
+    },
+    {
+      "entropy": 5.287980222702027,
+      "epoch": 5.463960231980116,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000270909905744309,
+      "loss": 4.776,
+      "mean_token_accuracy": 0.20741475820541383,
+      "num_tokens": 12021934.0,
+      "step": 6595
+    },
+    {
+      "entropy": 5.313226222991943,
+      "epoch": 5.468102734051367,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00027059040656457316,
+      "loss": 4.8104,
+      "mean_token_accuracy": 0.2010733589529991,
+      "num_tokens": 12031158.0,
+      "step": 6600
+    },
+    {
+      "entropy": 5.3314722061157225,
+      "epoch": 5.472245236122618,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002702709162794692,
+      "loss": 4.8078,
+      "mean_token_accuracy": 0.20088913142681122,
+      "num_tokens": 12040392.0,
+      "step": 6605
+    },
+    {
+      "entropy": 5.248980331420898,
+      "epoch": 5.4763877381938695,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00026995143553344394,
+      "loss": 4.6481,
+      "mean_token_accuracy": 0.21935920119285585,
+      "num_tokens": 12048412.0,
+      "step": 6610
+    },
+    {
+      "entropy": 5.258455896377564,
+      "epoch": 5.48053024026512,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00026963196497092483,
+      "loss": 4.7625,
+      "mean_token_accuracy": 0.20619691014289857,
+      "num_tokens": 12057681.0,
+      "step": 6615
+    },
+    {
+      "entropy": 5.290913534164429,
+      "epoch": 5.484672742336371,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00026931250523631905,
+      "loss": 4.7451,
+      "mean_token_accuracy": 0.20713003873825073,
+      "num_tokens": 12066243.0,
+      "step": 6620
+    },
+    {
+      "entropy": 5.215484523773194,
+      "epoch": 5.488815244407622,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026899305697401175,
+      "loss": 4.7545,
+      "mean_token_accuracy": 0.20806889086961747,
+      "num_tokens": 12075312.0,
+      "step": 6625
+    },
+    {
+      "entropy": 5.231590509414673,
+      "epoch": 5.492957746478873,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002686736208283649,
+      "loss": 4.7629,
+      "mean_token_accuracy": 0.20990005433559417,
+      "num_tokens": 12083990.0,
+      "step": 6630
+    },
+    {
+      "entropy": 5.376721620559692,
+      "epoch": 5.497100248550124,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00026835419744371627,
+      "loss": 4.8732,
+      "mean_token_accuracy": 0.19839346706867217,
+      "num_tokens": 12093301.0,
+      "step": 6635
+    },
+    {
+      "entropy": 5.241463851928711,
+      "epoch": 5.501242750621375,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002680347874643775,
+      "loss": 4.6882,
+      "mean_token_accuracy": 0.21418087482452391,
+      "num_tokens": 12102054.0,
+      "step": 6640
+    },
+    {
+      "entropy": 5.262872982025146,
+      "epoch": 5.505385252692626,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002677153915346336,
+      "loss": 4.7708,
+      "mean_token_accuracy": 0.20341249853372573,
+      "num_tokens": 12111432.0,
+      "step": 6645
+    },
+    {
+      "entropy": 5.237018823623657,
+      "epoch": 5.5095277547638775,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002673960102987412,
+      "loss": 4.7032,
+      "mean_token_accuracy": 0.21349260658025743,
+      "num_tokens": 12120424.0,
+      "step": 6650
+    },
+    {
+      "entropy": 5.301366519927979,
+      "epoch": 5.513670256835129,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00026707664440092676,
+      "loss": 4.8377,
+      "mean_token_accuracy": 0.20626042485237123,
+      "num_tokens": 12130210.0,
+      "step": 6655
+    },
+    {
+      "entropy": 5.414148330688477,
+      "epoch": 5.51781275890638,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00026675729448538655,
+      "loss": 4.8269,
+      "mean_token_accuracy": 0.21095569282770157,
+      "num_tokens": 12139366.0,
+      "step": 6660
+    },
+    {
+      "entropy": 5.2740867137908936,
+      "epoch": 5.521955260977631,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00026643796119628404,
+      "loss": 4.6432,
+      "mean_token_accuracy": 0.21321782022714614,
+      "num_tokens": 12148385.0,
+      "step": 6665
+    },
+    {
+      "entropy": 5.290845537185669,
+      "epoch": 5.526097763048882,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002661186451777495,
+      "loss": 4.7822,
+      "mean_token_accuracy": 0.20492887496948242,
+      "num_tokens": 12156640.0,
+      "step": 6670
+    },
+    {
+      "entropy": 5.280693674087525,
+      "epoch": 5.530240265120133,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002657993470738781,
+      "loss": 4.8587,
+      "mean_token_accuracy": 0.19673615247011184,
+      "num_tokens": 12166532.0,
+      "step": 6675
+    },
+    {
+      "entropy": 5.24079852104187,
+      "epoch": 5.534382767191383,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026548006752872915,
+      "loss": 4.6934,
+      "mean_token_accuracy": 0.2146509751677513,
+      "num_tokens": 12175239.0,
+      "step": 6680
+    },
+    {
+      "entropy": 5.243715524673462,
+      "epoch": 5.538525269262634,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002651608071863244,
+      "loss": 4.7611,
+      "mean_token_accuracy": 0.20688466280698775,
+      "num_tokens": 12184588.0,
+      "step": 6685
+    },
+    {
+      "entropy": 5.333131456375122,
+      "epoch": 5.542667771333885,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00026484156669064665,
+      "loss": 4.8177,
+      "mean_token_accuracy": 0.20230551064014435,
+      "num_tokens": 12194140.0,
+      "step": 6690
+    },
+    {
+      "entropy": 5.310734224319458,
+      "epoch": 5.5468102734051365,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.000264522346685639,
+      "loss": 4.8193,
+      "mean_token_accuracy": 0.20696787536144257,
+      "num_tokens": 12203504.0,
+      "step": 6695
+    },
+    {
+      "entropy": 5.33381724357605,
+      "epoch": 5.550952775476388,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0002642031478152031,
+      "loss": 4.7782,
+      "mean_token_accuracy": 0.207833394408226,
+      "num_tokens": 12212594.0,
+      "step": 6700
+    },
+    {
+      "entropy": 5.3383890151977536,
+      "epoch": 5.555095277547639,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00026388397072319786,
+      "loss": 4.8162,
+      "mean_token_accuracy": 0.2045178234577179,
+      "num_tokens": 12222101.0,
+      "step": 6705
+    },
+    {
+      "entropy": 5.29089732170105,
+      "epoch": 5.55923777961889,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002635648160534385,
+      "loss": 4.8118,
+      "mean_token_accuracy": 0.20435990989208222,
+      "num_tokens": 12232118.0,
+      "step": 6710
+    },
+    {
+      "entropy": 5.352822351455688,
+      "epoch": 5.563380281690141,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026324568444969473,
+      "loss": 4.7439,
+      "mean_token_accuracy": 0.20706239342689514,
+      "num_tokens": 12241275.0,
+      "step": 6715
+    },
+    {
+      "entropy": 5.245583724975586,
+      "epoch": 5.567522783761392,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026292657655569,
+      "loss": 4.7375,
+      "mean_token_accuracy": 0.21279312521219254,
+      "num_tokens": 12251125.0,
+      "step": 6720
+    },
+    {
+      "entropy": 5.229356813430786,
+      "epoch": 5.571665285832643,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00026260749301509954,
+      "loss": 4.7241,
+      "mean_token_accuracy": 0.21198077648878097,
+      "num_tokens": 12260613.0,
+      "step": 6725
+    },
+    {
+      "entropy": 5.324583339691162,
+      "epoch": 5.575807787903894,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026228843447155005,
+      "loss": 4.733,
+      "mean_token_accuracy": 0.2107634127140045,
+      "num_tokens": 12269878.0,
+      "step": 6730
+    },
+    {
+      "entropy": 5.270222854614258,
+      "epoch": 5.5799502899751445,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00026196940156861736,
+      "loss": 4.7819,
+      "mean_token_accuracy": 0.20616225749254227,
+      "num_tokens": 12278616.0,
+      "step": 6735
+    },
+    {
+      "entropy": 5.194797945022583,
+      "epoch": 5.584092792046396,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00026165039494982555,
+      "loss": 4.7068,
+      "mean_token_accuracy": 0.2110671728849411,
+      "num_tokens": 12287104.0,
+      "step": 6740
+    },
+    {
+      "entropy": 5.187378549575806,
+      "epoch": 5.588235294117647,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00026133141525864605,
+      "loss": 4.7357,
+      "mean_token_accuracy": 0.20822987705469131,
+      "num_tokens": 12296503.0,
+      "step": 6745
+    },
+    {
+      "entropy": 5.294446992874145,
+      "epoch": 5.592377796188898,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00026101246313849557,
+      "loss": 4.6989,
+      "mean_token_accuracy": 0.2123148426413536,
+      "num_tokens": 12306298.0,
+      "step": 6750
+    },
+    {
+      "entropy": 5.2862865924835205,
+      "epoch": 5.596520298260149,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0002606935392327356,
+      "loss": 4.7664,
+      "mean_token_accuracy": 0.20611962229013442,
+      "num_tokens": 12314826.0,
+      "step": 6755
+    },
+    {
+      "entropy": 5.258157396316529,
+      "epoch": 5.6006628003314,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00026037464418467035,
+      "loss": 4.7079,
+      "mean_token_accuracy": 0.21357058137655258,
+      "num_tokens": 12323776.0,
+      "step": 6760
+    },
+    {
+      "entropy": 5.312329053878784,
+      "epoch": 5.604805302402651,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002600557786375459,
+      "loss": 4.7819,
+      "mean_token_accuracy": 0.20854859054088593,
+      "num_tokens": 12332374.0,
+      "step": 6765
+    },
+    {
+      "entropy": 5.217779874801636,
+      "epoch": 5.608947804473902,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00025973694323454916,
+      "loss": 4.6354,
+      "mean_token_accuracy": 0.21756067872047424,
+      "num_tokens": 12341007.0,
+      "step": 6770
+    },
+    {
+      "entropy": 5.175305271148682,
+      "epoch": 5.613090306545153,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00025941813861880575,
+      "loss": 4.7114,
+      "mean_token_accuracy": 0.20966241657733917,
+      "num_tokens": 12350330.0,
+      "step": 6775
+    },
+    {
+      "entropy": 5.267894315719604,
+      "epoch": 5.6172328086164045,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00025909936543337957,
+      "loss": 4.7519,
+      "mean_token_accuracy": 0.1993374451994896,
+      "num_tokens": 12358592.0,
+      "step": 6780
+    },
+    {
+      "entropy": 5.290813016891479,
+      "epoch": 5.621375310687656,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002587806243212709,
+      "loss": 4.7692,
+      "mean_token_accuracy": 0.20917081385850905,
+      "num_tokens": 12368195.0,
+      "step": 6785
+    },
+    {
+      "entropy": 5.241605234146118,
+      "epoch": 5.625517812758907,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002584619159254154,
+      "loss": 4.7124,
+      "mean_token_accuracy": 0.20834194272756576,
+      "num_tokens": 12377206.0,
+      "step": 6790
+    },
+    {
+      "entropy": 5.247827816009521,
+      "epoch": 5.629660314830158,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00025814324088868276,
+      "loss": 4.7593,
+      "mean_token_accuracy": 0.21013118624687194,
+      "num_tokens": 12386595.0,
+      "step": 6795
+    },
+    {
+      "entropy": 5.175970602035522,
+      "epoch": 5.633802816901408,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00025782459985387526,
+      "loss": 4.6569,
+      "mean_token_accuracy": 0.2180004358291626,
+      "num_tokens": 12395923.0,
+      "step": 6800
+    },
+    {
+      "entropy": 5.269517803192139,
+      "epoch": 5.637945318972659,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002575059934637268,
+      "loss": 4.7985,
+      "mean_token_accuracy": 0.20669761300086975,
+      "num_tokens": 12405094.0,
+      "step": 6805
+    },
+    {
+      "entropy": 5.268765878677368,
+      "epoch": 5.64208782104391,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002571874223609012,
+      "loss": 4.7972,
+      "mean_token_accuracy": 0.20435070544481276,
+      "num_tokens": 12414834.0,
+      "step": 6810
+    },
+    {
+      "entropy": 5.294848012924194,
+      "epoch": 5.646230323115161,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00025686888718799136,
+      "loss": 4.7513,
+      "mean_token_accuracy": 0.20469613671302794,
+      "num_tokens": 12423485.0,
+      "step": 6815
+    },
+    {
+      "entropy": 5.368587017059326,
+      "epoch": 5.6503728251864125,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002565503885875173,
+      "loss": 4.7935,
+      "mean_token_accuracy": 0.20704300552606583,
+      "num_tokens": 12432149.0,
+      "step": 6820
+    },
+    {
+      "entropy": 5.2622401237487795,
+      "epoch": 5.654515327257664,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00025623192720192564,
+      "loss": 4.7433,
+      "mean_token_accuracy": 0.2119109019637108,
+      "num_tokens": 12441272.0,
+      "step": 6825
+    },
+    {
+      "entropy": 5.190871524810791,
+      "epoch": 5.658657829328915,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002559135036735877,
+      "loss": 4.7388,
+      "mean_token_accuracy": 0.20155471414327622,
+      "num_tokens": 12449318.0,
+      "step": 6830
+    },
+    {
+      "entropy": 5.168833065032959,
+      "epoch": 5.662800331400166,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00025559511864479864,
+      "loss": 4.6898,
+      "mean_token_accuracy": 0.21231105625629426,
+      "num_tokens": 12458473.0,
+      "step": 6835
+    },
+    {
+      "entropy": 5.313192129135132,
+      "epoch": 5.666942833471417,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002552767727577758,
+      "loss": 4.8113,
+      "mean_token_accuracy": 0.20445662438869477,
+      "num_tokens": 12467703.0,
+      "step": 6840
+    },
+    {
+      "entropy": 5.292496681213379,
+      "epoch": 5.671085335542668,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00025495846665465774,
+      "loss": 4.6938,
+      "mean_token_accuracy": 0.21795116513967513,
+      "num_tokens": 12476166.0,
+      "step": 6845
+    },
+    {
+      "entropy": 5.235640621185302,
+      "epoch": 5.675227837613919,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002546402009775024,
+      "loss": 4.7403,
+      "mean_token_accuracy": 0.20330073386430741,
+      "num_tokens": 12484880.0,
+      "step": 6850
+    },
+    {
+      "entropy": 5.31177544593811,
+      "epoch": 5.679370339685169,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00025432197636828663,
+      "loss": 4.8103,
+      "mean_token_accuracy": 0.20381423085927963,
+      "num_tokens": 12494208.0,
+      "step": 6855
+    },
+    {
+      "entropy": 5.334811210632324,
+      "epoch": 5.683512841756421,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002540037934689042,
+      "loss": 4.8024,
+      "mean_token_accuracy": 0.20098040848970414,
+      "num_tokens": 12503647.0,
+      "step": 6860
+    },
+    {
+      "entropy": 5.295432138442993,
+      "epoch": 5.687655343827672,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00025368565292116475,
+      "loss": 4.8225,
+      "mean_token_accuracy": 0.20177613645792009,
+      "num_tokens": 12512869.0,
+      "step": 6865
+    },
+    {
+      "entropy": 5.28051609992981,
+      "epoch": 5.691797845898923,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002533675553667927,
+      "loss": 4.8747,
+      "mean_token_accuracy": 0.19059171974658967,
+      "num_tokens": 12523222.0,
+      "step": 6870
+    },
+    {
+      "entropy": 5.24097170829773,
+      "epoch": 5.695940347970174,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00025304950144742523,
+      "loss": 4.7456,
+      "mean_token_accuracy": 0.20784133225679396,
+      "num_tokens": 12532343.0,
+      "step": 6875
+    },
+    {
+      "entropy": 5.255422782897949,
+      "epoch": 5.700082850041425,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002527314918046122,
+      "loss": 4.7467,
+      "mean_token_accuracy": 0.21441746652126312,
+      "num_tokens": 12541508.0,
+      "step": 6880
+    },
+    {
+      "entropy": 5.222242641448974,
+      "epoch": 5.704225352112676,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0002524135270798136,
+      "loss": 4.7731,
+      "mean_token_accuracy": 0.20265263617038726,
+      "num_tokens": 12550837.0,
+      "step": 6885
+    },
+    {
+      "entropy": 5.259101152420044,
+      "epoch": 5.708367854183927,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00025209560791439914,
+      "loss": 4.7223,
+      "mean_token_accuracy": 0.21348682641983033,
+      "num_tokens": 12559859.0,
+      "step": 6890
+    },
+    {
+      "entropy": 5.279586315155029,
+      "epoch": 5.712510356255178,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002517777349496465,
+      "loss": 4.8096,
+      "mean_token_accuracy": 0.20708946287631988,
+      "num_tokens": 12569137.0,
+      "step": 6895
+    },
+    {
+      "entropy": 5.332545948028565,
+      "epoch": 5.716652858326429,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002514599088267401,
+      "loss": 4.8391,
+      "mean_token_accuracy": 0.20370080918073655,
+      "num_tokens": 12578111.0,
+      "step": 6900
+    },
+    {
+      "entropy": 5.30065131187439,
+      "epoch": 5.72079536039768,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00025114213018677004,
+      "loss": 4.7826,
+      "mean_token_accuracy": 0.21398544907569886,
+      "num_tokens": 12587604.0,
+      "step": 6905
+    },
+    {
+      "entropy": 5.328654146194458,
+      "epoch": 5.7249378624689315,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002508243996707305,
+      "loss": 4.7982,
+      "mean_token_accuracy": 0.2033779114484787,
+      "num_tokens": 12596620.0,
+      "step": 6910
+    },
+    {
+      "entropy": 5.252767944335938,
+      "epoch": 5.729080364540183,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00025050671791951887,
+      "loss": 4.7682,
+      "mean_token_accuracy": 0.20568756759166718,
+      "num_tokens": 12605452.0,
+      "step": 6915
+    },
+    {
+      "entropy": 5.195128536224365,
+      "epoch": 5.733222866611433,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002501890855739337,
+      "loss": 4.6654,
+      "mean_token_accuracy": 0.22127037048339843,
+      "num_tokens": 12614009.0,
+      "step": 6920
+    },
+    {
+      "entropy": 5.287421989440918,
+      "epoch": 5.737365368682684,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00024987150327467414,
+      "loss": 4.8201,
+      "mean_token_accuracy": 0.2010796323418617,
+      "num_tokens": 12624135.0,
+      "step": 6925
+    },
+    {
+      "entropy": 5.221401596069336,
+      "epoch": 5.741507870753935,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024955397166233855,
+      "loss": 4.6474,
+      "mean_token_accuracy": 0.22327282428741455,
+      "num_tokens": 12632870.0,
+      "step": 6930
+    },
+    {
+      "entropy": 5.304728364944458,
+      "epoch": 5.745650372825186,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024923649137742276,
+      "loss": 4.8549,
+      "mean_token_accuracy": 0.1950896918773651,
+      "num_tokens": 12643606.0,
+      "step": 6935
+    },
+    {
+      "entropy": 5.385456705093384,
+      "epoch": 5.749792874896437,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0002489190630603194,
+      "loss": 4.8834,
+      "mean_token_accuracy": 0.20502226054668427,
+      "num_tokens": 12652926.0,
+      "step": 6940
+    },
+    {
+      "entropy": 5.331468009948731,
+      "epoch": 5.753935376967688,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002486016873513159,
+      "loss": 4.8219,
+      "mean_token_accuracy": 0.20297979861497878,
+      "num_tokens": 12661841.0,
+      "step": 6945
+    },
+    {
+      "entropy": 5.257536315917969,
+      "epoch": 5.7580778790389395,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002482843648905937,
+      "loss": 4.7409,
+      "mean_token_accuracy": 0.2069641500711441,
+      "num_tokens": 12670527.0,
+      "step": 6950
+    },
+    {
+      "entropy": 5.216205167770386,
+      "epoch": 5.762220381110191,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002479670963182271,
+      "loss": 4.7365,
+      "mean_token_accuracy": 0.19854751229286194,
+      "num_tokens": 12680346.0,
+      "step": 6955
+    },
+    {
+      "entropy": 5.315979433059693,
+      "epoch": 5.766362883181442,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00024764988227418114,
+      "loss": 4.8273,
+      "mean_token_accuracy": 0.20946504771709443,
+      "num_tokens": 12691088.0,
+      "step": 6960
+    },
+    {
+      "entropy": 5.343829536437989,
+      "epoch": 5.770505385252693,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002473327233983116,
+      "loss": 4.7894,
+      "mean_token_accuracy": 0.20746862143278122,
+      "num_tokens": 12700296.0,
+      "step": 6965
+    },
+    {
+      "entropy": 5.241484355926514,
+      "epoch": 5.774647887323944,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002470156203303622,
+      "loss": 4.7882,
+      "mean_token_accuracy": 0.20888512581586838,
+      "num_tokens": 12709595.0,
+      "step": 6970
+    },
+    {
+      "entropy": 5.276812028884888,
+      "epoch": 5.778790389395195,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0002466985737099649,
+      "loss": 4.838,
+      "mean_token_accuracy": 0.20352406352758406,
+      "num_tokens": 12719052.0,
+      "step": 6975
+    },
+    {
+      "entropy": 5.237840700149536,
+      "epoch": 5.782932891466446,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002463815841766371,
+      "loss": 4.7033,
+      "mean_token_accuracy": 0.21847177892923356,
+      "num_tokens": 12727287.0,
+      "step": 6980
+    },
+    {
+      "entropy": 5.252689790725708,
+      "epoch": 5.787075393537696,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002460646523697813,
+      "loss": 4.7649,
+      "mean_token_accuracy": 0.2055829644203186,
+      "num_tokens": 12736511.0,
+      "step": 6985
+    },
+    {
+      "entropy": 5.295902395248413,
+      "epoch": 5.7912178956089475,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00024574777892868386,
+      "loss": 4.7758,
+      "mean_token_accuracy": 0.20809024274349214,
+      "num_tokens": 12745597.0,
+      "step": 6990
+    },
+    {
+      "entropy": 5.260382986068725,
+      "epoch": 5.795360397680199,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00024543096449251286,
+      "loss": 4.6362,
+      "mean_token_accuracy": 0.221256822347641,
+      "num_tokens": 12753492.0,
+      "step": 6995
+    },
+    {
+      "entropy": 5.3082959175109865,
+      "epoch": 5.79950289975145,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002451142097003177,
+      "loss": 4.7765,
+      "mean_token_accuracy": 0.21173641979694366,
+      "num_tokens": 12761999.0,
+      "step": 7000
+    },
+    {
+      "epoch": 5.79950289975145,
+      "eval_entropy": 5.159527343473455,
+      "eval_loss": 5.7473931312561035,
+      "eval_mean_token_accuracy": 0.1656088415525361,
+      "eval_num_tokens": 12761999.0,
+      "eval_runtime": 2.7553,
+      "eval_samples_per_second": 1359.941,
+      "eval_steps_per_second": 170.219,
+      "step": 7000
+    },
+    {
+      "entropy": 5.250266122817993,
+      "epoch": 5.803645401822701,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002447975151910276,
+      "loss": 4.6884,
+      "mean_token_accuracy": 0.20662099421024321,
+      "num_tokens": 12770922.0,
+      "step": 7005
+    },
+    {
+      "entropy": 5.225958204269409,
+      "epoch": 5.807787903893952,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00024448088160344974,
+      "loss": 4.72,
+      "mean_token_accuracy": 0.2077726110816002,
+      "num_tokens": 12779539.0,
+      "step": 7010
+    },
+    {
+      "entropy": 5.266984176635742,
+      "epoch": 5.811930405965203,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002441643095762688,
+      "loss": 4.7539,
+      "mean_token_accuracy": 0.20866499096155167,
+      "num_tokens": 12788121.0,
+      "step": 7015
+    },
+    {
+      "entropy": 5.206212854385376,
+      "epoch": 5.816072908036454,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000243847799748045,
+      "loss": 4.6301,
+      "mean_token_accuracy": 0.21100328713655472,
+      "num_tokens": 12797390.0,
+      "step": 7020
+    },
+    {
+      "entropy": 5.249676036834717,
+      "epoch": 5.820215410107705,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00024353135275721356,
+      "loss": 4.8644,
+      "mean_token_accuracy": 0.19687919616699218,
+      "num_tokens": 12807876.0,
+      "step": 7025
+    },
+    {
+      "entropy": 5.184282016754151,
+      "epoch": 5.824357912178956,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00024321496924208235,
+      "loss": 4.6805,
+      "mean_token_accuracy": 0.2075910523533821,
+      "num_tokens": 12816496.0,
+      "step": 7030
+    },
+    {
+      "entropy": 5.282375478744507,
+      "epoch": 5.8285004142502075,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00024289864984083166,
+      "loss": 4.7571,
+      "mean_token_accuracy": 0.21421819925308228,
+      "num_tokens": 12825925.0,
+      "step": 7035
+    },
+    {
+      "entropy": 5.330373096466064,
+      "epoch": 5.832642916321458,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002425823951915122,
+      "loss": 4.776,
+      "mean_token_accuracy": 0.20406203866004943,
+      "num_tokens": 12835479.0,
+      "step": 7040
+    },
+    {
+      "entropy": 5.227119112014771,
+      "epoch": 5.836785418392709,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002422662059320442,
+      "loss": 4.6764,
+      "mean_token_accuracy": 0.2194245144724846,
+      "num_tokens": 12844024.0,
+      "step": 7045
+    },
+    {
+      "entropy": 5.242313861846924,
+      "epoch": 5.84092792046396,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00024195008270021595,
+      "loss": 4.6767,
+      "mean_token_accuracy": 0.21089302152395248,
+      "num_tokens": 12852673.0,
+      "step": 7050
+    },
+    {
+      "entropy": 5.168107366561889,
+      "epoch": 5.845070422535211,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00024163402613368252,
+      "loss": 4.7042,
+      "mean_token_accuracy": 0.21519682556390762,
+      "num_tokens": 12861191.0,
+      "step": 7055
+    },
+    {
+      "entropy": 5.273849678039551,
+      "epoch": 5.849212924606462,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00024131803686996457,
+      "loss": 4.8483,
+      "mean_token_accuracy": 0.20502860397100447,
+      "num_tokens": 12870874.0,
+      "step": 7060
+    },
+    {
+      "entropy": 5.314899635314942,
+      "epoch": 5.853355426677713,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00024100211554644696,
+      "loss": 4.7741,
+      "mean_token_accuracy": 0.21026002764701843,
+      "num_tokens": 12879896.0,
+      "step": 7065
+    },
+    {
+      "entropy": 5.297897291183472,
+      "epoch": 5.857497928748964,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00024068626280037753,
+      "loss": 4.786,
+      "mean_token_accuracy": 0.20807335823774337,
+      "num_tokens": 12888665.0,
+      "step": 7070
+    },
+    {
+      "entropy": 5.261636590957641,
+      "epoch": 5.8616404308202155,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00024037047926886578,
+      "loss": 4.7416,
+      "mean_token_accuracy": 0.20277187824249268,
+      "num_tokens": 12897477.0,
+      "step": 7075
+    },
+    {
+      "entropy": 5.251101160049439,
+      "epoch": 5.865782932891467,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024005476558888172,
+      "loss": 4.794,
+      "mean_token_accuracy": 0.2007831260561943,
+      "num_tokens": 12905934.0,
+      "step": 7080
+    },
+    {
+      "entropy": 5.255609798431396,
+      "epoch": 5.869925434962718,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002397391223972541,
+      "loss": 4.7929,
+      "mean_token_accuracy": 0.20374300181865693,
+      "num_tokens": 12915092.0,
+      "step": 7085
+    },
+    {
+      "entropy": 5.2630064487457275,
+      "epoch": 5.874067937033969,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00023942355033066993,
+      "loss": 4.8721,
+      "mean_token_accuracy": 0.19899580031633377,
+      "num_tokens": 12924775.0,
+      "step": 7090
+    },
+    {
+      "entropy": 5.329388093948364,
+      "epoch": 5.87821043910522,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00023910805002567244,
+      "loss": 4.7789,
+      "mean_token_accuracy": 0.2048063576221466,
+      "num_tokens": 12933677.0,
+      "step": 7095
+    },
+    {
+      "entropy": 5.261180973052978,
+      "epoch": 5.882352941176471,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002387926221186603,
+      "loss": 4.8017,
+      "mean_token_accuracy": 0.2079474300146103,
+      "num_tokens": 12942416.0,
+      "step": 7100
+    },
+    {
+      "entropy": 5.231311798095703,
+      "epoch": 5.886495443247721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00023847726724588608,
+      "loss": 4.7718,
+      "mean_token_accuracy": 0.21066755801439285,
+      "num_tokens": 12952284.0,
+      "step": 7105
+    },
+    {
+      "entropy": 5.278716087341309,
+      "epoch": 5.890637945318972,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002381619860434549,
+      "loss": 4.8123,
+      "mean_token_accuracy": 0.19911128133535386,
+      "num_tokens": 12960694.0,
+      "step": 7110
+    },
+    {
+      "entropy": 5.215971040725708,
+      "epoch": 5.894780447390223,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00023784677914732356,
+      "loss": 4.727,
+      "mean_token_accuracy": 0.20931341648101806,
+      "num_tokens": 12969138.0,
+      "step": 7115
+    },
+    {
+      "entropy": 5.292342042922973,
+      "epoch": 5.8989229494614746,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00023753164719329868,
+      "loss": 4.766,
+      "mean_token_accuracy": 0.20421497970819474,
+      "num_tokens": 12978518.0,
+      "step": 7120
+    },
+    {
+      "entropy": 5.309631299972534,
+      "epoch": 5.903065451532726,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00023721659081703595,
+      "loss": 4.7856,
+      "mean_token_accuracy": 0.2164353221654892,
+      "num_tokens": 12987506.0,
+      "step": 7125
+    },
+    {
+      "entropy": 5.2704308986663815,
+      "epoch": 5.907207953603977,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023690161065403838,
+      "loss": 4.7667,
+      "mean_token_accuracy": 0.20384967178106309,
+      "num_tokens": 12996259.0,
+      "step": 7130
+    },
+    {
+      "entropy": 5.284243488311768,
+      "epoch": 5.911350455675228,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002365867073396555,
+      "loss": 4.7914,
+      "mean_token_accuracy": 0.20621232688426971,
+      "num_tokens": 13005430.0,
+      "step": 7135
+    },
+    {
+      "entropy": 5.2192955493927,
+      "epoch": 5.915492957746479,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023627188150908174,
+      "loss": 4.7414,
+      "mean_token_accuracy": 0.21523537784814833,
+      "num_tokens": 13014915.0,
+      "step": 7140
+    },
+    {
+      "entropy": 5.267714023590088,
+      "epoch": 5.91963545981773,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00023595713379735494,
+      "loss": 4.7483,
+      "mean_token_accuracy": 0.20747244358062744,
+      "num_tokens": 13023471.0,
+      "step": 7145
+    },
+    {
+      "entropy": 5.29262957572937,
+      "epoch": 5.923777961888981,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00023564246483935602,
+      "loss": 4.7364,
+      "mean_token_accuracy": 0.20276205390691757,
+      "num_tokens": 13033270.0,
+      "step": 7150
+    },
+    {
+      "entropy": 5.26424388885498,
+      "epoch": 5.927920463960232,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002353278752698063,
+      "loss": 4.7029,
+      "mean_token_accuracy": 0.2120548114180565,
+      "num_tokens": 13043300.0,
+      "step": 7155
+    },
+    {
+      "entropy": 5.261445045471191,
+      "epoch": 5.9320629660314825,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002350133657232676,
+      "loss": 4.7627,
+      "mean_token_accuracy": 0.20174376368522645,
+      "num_tokens": 13052152.0,
+      "step": 7160
+    },
+    {
+      "entropy": 5.286171960830688,
+      "epoch": 5.9362054681027345,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002346989368341399,
+      "loss": 4.8033,
+      "mean_token_accuracy": 0.20869386494159697,
+      "num_tokens": 13061704.0,
+      "step": 7165
+    },
+    {
+      "entropy": 5.280704736709595,
+      "epoch": 5.940347970173985,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023438458923666057,
+      "loss": 4.7209,
+      "mean_token_accuracy": 0.2152332365512848,
+      "num_tokens": 13071055.0,
+      "step": 7170
+    },
+    {
+      "entropy": 5.268754768371582,
+      "epoch": 5.944490472245236,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002340703235649032,
+      "loss": 4.8331,
+      "mean_token_accuracy": 0.1926100879907608,
+      "num_tokens": 13080023.0,
+      "step": 7175
+    },
+    {
+      "entropy": 5.263068819046021,
+      "epoch": 5.948632974316487,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00023375614045277593,
+      "loss": 4.7536,
+      "mean_token_accuracy": 0.20691772699356079,
+      "num_tokens": 13088690.0,
+      "step": 7180
+    },
+    {
+      "entropy": 5.232177972793579,
+      "epoch": 5.952775476387738,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00023344204053402047,
+      "loss": 4.7377,
+      "mean_token_accuracy": 0.21229761391878127,
+      "num_tokens": 13097116.0,
+      "step": 7185
+    },
+    {
+      "entropy": 5.343814706802368,
+      "epoch": 5.956917978458989,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00023312802444221066,
+      "loss": 4.7995,
+      "mean_token_accuracy": 0.20769918113946914,
+      "num_tokens": 13106463.0,
+      "step": 7190
+    },
+    {
+      "entropy": 5.273978662490845,
+      "epoch": 5.96106048053024,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002328140928107511,
+      "loss": 4.7045,
+      "mean_token_accuracy": 0.21413260698318481,
+      "num_tokens": 13115769.0,
+      "step": 7195
+    },
+    {
+      "entropy": 5.293670988082885,
+      "epoch": 5.965202982601491,
+      "grad_norm": 1.6875,
+      "learning_rate": 0.0002325002462728766,
+      "loss": 4.8058,
+      "mean_token_accuracy": 0.20858496129512788,
+      "num_tokens": 13124928.0,
+      "step": 7200
+    },
+    {
+      "entropy": 5.264481544494629,
+      "epoch": 5.9693454846727425,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00023218648546164945,
+      "loss": 4.7587,
+      "mean_token_accuracy": 0.20816877782344817,
+      "num_tokens": 13134106.0,
+      "step": 7205
+    },
+    {
+      "entropy": 5.401337671279907,
+      "epoch": 5.973487986743994,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002318728110099599,
+      "loss": 4.9463,
+      "mean_token_accuracy": 0.19887659698724747,
+      "num_tokens": 13143019.0,
+      "step": 7210
+    },
+    {
+      "entropy": 5.267350912094116,
+      "epoch": 5.977630488815245,
+      "grad_norm": 1.625,
+      "learning_rate": 0.00023155922355052339,
+      "loss": 4.6633,
+      "mean_token_accuracy": 0.223431359231472,
+      "num_tokens": 13152675.0,
+      "step": 7215
+    },
+    {
+      "entropy": 5.256755113601685,
+      "epoch": 5.981772990886496,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00023124572371588,
+      "loss": 4.6968,
+      "mean_token_accuracy": 0.2141074687242508,
+      "num_tokens": 13161094.0,
+      "step": 7220
+    },
+    {
+      "entropy": 5.22665810585022,
+      "epoch": 5.985915492957746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00023093231213839344,
+      "loss": 4.7801,
+      "mean_token_accuracy": 0.2072029694914818,
+      "num_tokens": 13170858.0,
+      "step": 7225
+    },
+    {
+      "entropy": 5.248539400100708,
+      "epoch": 5.990057995028997,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002306189894502488,
+      "loss": 4.8402,
+      "mean_token_accuracy": 0.1976972222328186,
+      "num_tokens": 13179668.0,
+      "step": 7230
+    },
+    {
+      "entropy": 5.278863763809204,
+      "epoch": 5.994200497100248,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00023030575628345246,
+      "loss": 4.7021,
+      "mean_token_accuracy": 0.2132765233516693,
+      "num_tokens": 13188312.0,
+      "step": 7235
+    },
+    {
+      "entropy": 5.254744529724121,
+      "epoch": 5.998342999171499,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022999261326982985,
+      "loss": 4.7474,
+      "mean_token_accuracy": 0.20551027208566666,
+      "num_tokens": 13196989.0,
+      "step": 7240
+    },
+    {
+      "entropy": 5.215828323364258,
+      "epoch": 6.0024855012427505,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00022967956104102445,
+      "loss": 4.6371,
+      "mean_token_accuracy": 0.21983437091112137,
+      "num_tokens": 13205830.0,
+      "step": 7245
+    },
+    {
+      "entropy": 5.325025272369385,
+      "epoch": 6.006628003314002,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00022936660022849714,
+      "loss": 4.5948,
+      "mean_token_accuracy": 0.22821232080459594,
+      "num_tokens": 13214711.0,
+      "step": 7250
+    },
+    {
+      "entropy": 5.262428140640258,
+      "epoch": 6.010770505385253,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022905373146352382,
+      "loss": 4.6602,
+      "mean_token_accuracy": 0.21241429150104524,
+      "num_tokens": 13223736.0,
+      "step": 7255
+    },
+    {
+      "entropy": 5.257147979736328,
+      "epoch": 6.014913007456504,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002287409553771952,
+      "loss": 4.556,
+      "mean_token_accuracy": 0.22737590819597245,
+      "num_tokens": 13232666.0,
+      "step": 7260
+    },
+    {
+      "entropy": 5.291457891464233,
+      "epoch": 6.019055509527755,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00022842827260041455,
+      "loss": 4.5848,
+      "mean_token_accuracy": 0.21761821508407592,
+      "num_tokens": 13241770.0,
+      "step": 7265
+    },
+    {
+      "entropy": 5.261249971389771,
+      "epoch": 6.023198011599006,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00022811568376389745,
+      "loss": 4.5326,
+      "mean_token_accuracy": 0.22425681203603745,
+      "num_tokens": 13250475.0,
+      "step": 7270
+    },
+    {
+      "entropy": 5.233007001876831,
+      "epoch": 6.027340513670257,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00022780318949816963,
+      "loss": 4.5183,
+      "mean_token_accuracy": 0.22254440933465958,
+      "num_tokens": 13259587.0,
+      "step": 7275
+    },
+    {
+      "entropy": 5.216541528701782,
+      "epoch": 6.031483015741508,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00022749079043356623,
+      "loss": 4.5404,
+      "mean_token_accuracy": 0.23734405487775803,
+      "num_tokens": 13269681.0,
+      "step": 7280
+    },
+    {
+      "entropy": 5.211581516265869,
+      "epoch": 6.0356255178127585,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00022717848720023022,
+      "loss": 4.5539,
+      "mean_token_accuracy": 0.2277751386165619,
+      "num_tokens": 13278186.0,
+      "step": 7285
+    },
+    {
+      "entropy": 5.25051851272583,
+      "epoch": 6.03976801988401,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022686628042811142,
+      "loss": 4.6462,
+      "mean_token_accuracy": 0.21404165476560594,
+      "num_tokens": 13287194.0,
+      "step": 7290
+    },
+    {
+      "entropy": 5.334251356124878,
+      "epoch": 6.043910521955261,
+      "grad_norm": 1.375,
+      "learning_rate": 0.000226554170746965,
+      "loss": 4.6707,
+      "mean_token_accuracy": 0.21294027268886567,
+      "num_tokens": 13296774.0,
+      "step": 7295
+    },
+    {
+      "entropy": 5.338882112503052,
+      "epoch": 6.048053024026512,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00022624215878635023,
+      "loss": 4.5887,
+      "mean_token_accuracy": 0.21931985318660735,
+      "num_tokens": 13306368.0,
+      "step": 7300
+    },
+    {
+      "entropy": 5.310757160186768,
+      "epoch": 6.052195526097763,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00022593024517562945,
+      "loss": 4.5551,
+      "mean_token_accuracy": 0.22974174320697785,
+      "num_tokens": 13315393.0,
+      "step": 7305
+    },
+    {
+      "entropy": 5.216650152206421,
+      "epoch": 6.056338028169014,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022561843054396636,
+      "loss": 4.5496,
+      "mean_token_accuracy": 0.22554152607917785,
+      "num_tokens": 13324384.0,
+      "step": 7310
+    },
+    {
+      "entropy": 5.265720653533935,
+      "epoch": 6.060480530240265,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00022530671552032521,
+      "loss": 4.6095,
+      "mean_token_accuracy": 0.2231447860598564,
+      "num_tokens": 13333191.0,
+      "step": 7315
+    },
+    {
+      "entropy": 5.269006586074829,
+      "epoch": 6.064623032311516,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002249951007334693,
+      "loss": 4.6016,
+      "mean_token_accuracy": 0.21682012677192689,
+      "num_tokens": 13342911.0,
+      "step": 7320
+    },
+    {
+      "entropy": 5.313802003860474,
+      "epoch": 6.068765534382767,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00022468358681195966,
+      "loss": 4.5911,
+      "mean_token_accuracy": 0.2220294862985611,
+      "num_tokens": 13352464.0,
+      "step": 7325
+    },
+    {
+      "entropy": 5.279155349731445,
+      "epoch": 6.072908036454018,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00022437217438415393,
+      "loss": 4.5871,
+      "mean_token_accuracy": 0.22435862571001053,
+      "num_tokens": 13361812.0,
+      "step": 7330
+    },
+    {
+      "entropy": 5.328032398223877,
+      "epoch": 6.0770505385252696,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00022406086407820503,
+      "loss": 4.6541,
+      "mean_token_accuracy": 0.21680645495653153,
+      "num_tokens": 13372080.0,
+      "step": 7335
+    },
+    {
+      "entropy": 5.283897733688354,
+      "epoch": 6.081193040596521,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022374965652205975,
+      "loss": 4.6976,
+      "mean_token_accuracy": 0.20982298403978347,
+      "num_tokens": 13380897.0,
+      "step": 7340
+    },
+    {
+      "entropy": 5.338993167877197,
+      "epoch": 6.085335542667772,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022343855234345796,
+      "loss": 4.6891,
+      "mean_token_accuracy": 0.21388355493545533,
+      "num_tokens": 13389885.0,
+      "step": 7345
+    },
+    {
+      "entropy": 5.288727903366089,
+      "epoch": 6.089478044739022,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00022312755216993065,
+      "loss": 4.6211,
+      "mean_token_accuracy": 0.21839348524808883,
+      "num_tokens": 13399734.0,
+      "step": 7350
+    },
+    {
+      "entropy": 5.224732303619385,
+      "epoch": 6.093620546810273,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00022281665662879903,
+      "loss": 4.5653,
+      "mean_token_accuracy": 0.22080505937337874,
+      "num_tokens": 13408641.0,
+      "step": 7355
+    },
+    {
+      "entropy": 5.2608020305633545,
+      "epoch": 6.097763048881524,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00022250586634717362,
+      "loss": 4.6026,
+      "mean_token_accuracy": 0.21388103663921357,
+      "num_tokens": 13418585.0,
+      "step": 7360
+    },
+    {
+      "entropy": 5.244136095046997,
+      "epoch": 6.101905550952775,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00022219518195195216,
+      "loss": 4.5367,
+      "mean_token_accuracy": 0.22432616204023362,
+      "num_tokens": 13427897.0,
+      "step": 7365
+    },
+    {
+      "entropy": 5.131761312484741,
+      "epoch": 6.106048053024026,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00022188460406981925,
+      "loss": 4.4993,
+      "mean_token_accuracy": 0.22558098286390305,
+      "num_tokens": 13437311.0,
+      "step": 7370
+    },
+    {
+      "entropy": 5.284880685806274,
+      "epoch": 6.1101905550952775,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00022157413332724436,
+      "loss": 4.5608,
+      "mean_token_accuracy": 0.22710221409797668,
+      "num_tokens": 13446359.0,
+      "step": 7375
+    },
+    {
+      "entropy": 5.326997709274292,
+      "epoch": 6.114333057166529,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00022126377035048072,
+      "loss": 4.6056,
+      "mean_token_accuracy": 0.22011455297470092,
+      "num_tokens": 13455302.0,
+      "step": 7380
+    },
+    {
+      "entropy": 5.365768575668335,
+      "epoch": 6.11847555923778,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0002209535157655646,
+      "loss": 4.6937,
+      "mean_token_accuracy": 0.21688085198402404,
+      "num_tokens": 13466391.0,
+      "step": 7385
+    },
+    {
+      "entropy": 5.246037006378174,
+      "epoch": 6.122618061309031,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00022064337019831322,
+      "loss": 4.547,
+      "mean_token_accuracy": 0.22545033246278762,
+      "num_tokens": 13476130.0,
+      "step": 7390
+    },
+    {
+      "entropy": 5.183640670776367,
+      "epoch": 6.126760563380282,
+      "grad_norm": 1.6171875,
+      "learning_rate": 0.00022033333427432422,
+      "loss": 4.5326,
+      "mean_token_accuracy": 0.22769198417663575,
+      "num_tokens": 13485105.0,
+      "step": 7395
+    },
+    {
+      "entropy": 5.284799098968506,
+      "epoch": 6.130903065451533,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002200234086189738,
+      "loss": 4.5988,
+      "mean_token_accuracy": 0.21623703986406326,
+      "num_tokens": 13494914.0,
+      "step": 7400
+    },
+    {
+      "entropy": 5.291166830062866,
+      "epoch": 6.135045567522784,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00021971359385741608,
+      "loss": 4.6312,
+      "mean_token_accuracy": 0.21725507229566574,
+      "num_tokens": 13504293.0,
+      "step": 7405
+    },
+    {
+      "entropy": 5.350364637374878,
+      "epoch": 6.139188069594034,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00021940389061458115,
+      "loss": 4.6935,
+      "mean_token_accuracy": 0.22431259900331496,
+      "num_tokens": 13513972.0,
+      "step": 7410
+    },
+    {
+      "entropy": 5.278038835525512,
+      "epoch": 6.1433305716652855,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002190942995151743,
+      "loss": 4.6089,
+      "mean_token_accuracy": 0.2185722753405571,
+      "num_tokens": 13522508.0,
+      "step": 7415
+    },
+    {
+      "entropy": 5.296834516525268,
+      "epoch": 6.147473073736537,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0002187848211836746,
+      "loss": 4.53,
+      "mean_token_accuracy": 0.22915603816509247,
+      "num_tokens": 13531235.0,
+      "step": 7420
+    },
+    {
+      "entropy": 5.256722116470337,
+      "epoch": 6.151615575807788,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002184754562443337,
+      "loss": 4.5707,
+      "mean_token_accuracy": 0.22529171109199525,
+      "num_tokens": 13541023.0,
+      "step": 7425
+    },
+    {
+      "entropy": 5.217341756820678,
+      "epoch": 6.155758077879039,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00021816620532117448,
+      "loss": 4.5852,
+      "mean_token_accuracy": 0.2248647004365921,
+      "num_tokens": 13550622.0,
+      "step": 7430
+    },
+    {
+      "entropy": 5.230591440200806,
+      "epoch": 6.15990057995029,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002178570690379899,
+      "loss": 4.6031,
+      "mean_token_accuracy": 0.21641309708356857,
+      "num_tokens": 13559423.0,
+      "step": 7435
+    },
+    {
+      "entropy": 5.235513544082641,
+      "epoch": 6.164043082021541,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00021754804801834144,
+      "loss": 4.5917,
+      "mean_token_accuracy": 0.21699417978525162,
+      "num_tokens": 13569306.0,
+      "step": 7440
+    },
+    {
+      "entropy": 5.228752660751343,
+      "epoch": 6.168185584092792,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0002172391428855585,
+      "loss": 4.5366,
+      "mean_token_accuracy": 0.22735673934221268,
+      "num_tokens": 13578367.0,
+      "step": 7445
+    },
+    {
+      "entropy": 5.265543508529663,
+      "epoch": 6.172328086164043,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00021693035426273633,
+      "loss": 4.5986,
+      "mean_token_accuracy": 0.21967096477746964,
+      "num_tokens": 13586930.0,
+      "step": 7450
+    },
+    {
+      "entropy": 5.246473407745361,
+      "epoch": 6.176470588235294,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.00021662168277273547,
+      "loss": 4.5681,
+      "mean_token_accuracy": 0.22939085811376572,
+      "num_tokens": 13595891.0,
+      "step": 7455
+    },
+    {
+      "entropy": 5.319870328903198,
+      "epoch": 6.1806130903065455,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002163131290381799,
+      "loss": 4.6599,
+      "mean_token_accuracy": 0.20967274755239487,
+      "num_tokens": 13605786.0,
+      "step": 7460
+    },
+    {
+      "entropy": 5.238808870315552,
+      "epoch": 6.184755592377797,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00021600469368145624,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.2280669927597046,
+      "num_tokens": 13614561.0,
+      "step": 7465
+    },
+    {
+      "entropy": 5.226732301712036,
+      "epoch": 6.188898094449047,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002156963773247124,
+      "loss": 4.5554,
+      "mean_token_accuracy": 0.22617974877357483,
+      "num_tokens": 13622853.0,
+      "step": 7470
+    },
+    {
+      "entropy": 5.20526967048645,
+      "epoch": 6.193040596520298,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002153881805898561,
+      "loss": 4.5398,
+      "mean_token_accuracy": 0.22647101283073426,
+      "num_tokens": 13631709.0,
+      "step": 7475
+    },
+    {
+      "entropy": 5.293169021606445,
+      "epoch": 6.197183098591549,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.0002150801040985539,
+      "loss": 4.63,
+      "mean_token_accuracy": 0.21966254264116286,
+      "num_tokens": 13640854.0,
+      "step": 7480
+    },
+    {
+      "entropy": 5.218788433074951,
+      "epoch": 6.2013256006628,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00021477214847222958,
+      "loss": 4.5758,
+      "mean_token_accuracy": 0.21710532903671265,
+      "num_tokens": 13649318.0,
+      "step": 7485
+    },
+    {
+      "entropy": 5.315838146209717,
+      "epoch": 6.205468102734051,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00021446431433206348,
+      "loss": 4.6349,
+      "mean_token_accuracy": 0.22002605497837066,
+      "num_tokens": 13658738.0,
+      "step": 7490
+    },
+    {
+      "entropy": 5.187892484664917,
+      "epoch": 6.209610604805302,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002141566022989907,
+      "loss": 4.5484,
+      "mean_token_accuracy": 0.2262681856751442,
+      "num_tokens": 13667315.0,
+      "step": 7495
+    },
+    {
+      "entropy": 5.282585573196411,
+      "epoch": 6.2137531068765535,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002138490129936998,
+      "loss": 4.6721,
+      "mean_token_accuracy": 0.21348128467798233,
+      "num_tokens": 13676665.0,
+      "step": 7500
+    },
+    {
+      "epoch": 6.2137531068765535,
+      "eval_entropy": 5.127327098521088,
+      "eval_loss": 5.749592304229736,
+      "eval_mean_token_accuracy": 0.16626126474853772,
+      "eval_num_tokens": 13676665.0,
+      "eval_runtime": 2.7442,
+      "eval_samples_per_second": 1365.431,
+      "eval_steps_per_second": 170.907,
+      "step": 7500
+    },
+    {
+      "entropy": 5.220932197570801,
+      "epoch": 6.217895608947805,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0002135415470366323,
+      "loss": 4.6065,
+      "mean_token_accuracy": 0.21874047368764876,
+      "num_tokens": 13685774.0,
+      "step": 7505
+    },
+    {
+      "entropy": 5.261872863769531,
+      "epoch": 6.222038111019056,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00021323420504798047,
+      "loss": 4.6324,
+      "mean_token_accuracy": 0.21970156878232955,
+      "num_tokens": 13695700.0,
+      "step": 7510
+    },
+    {
+      "entropy": 5.301397752761841,
+      "epoch": 6.226180613090307,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021292698764768675,
+      "loss": 4.6432,
+      "mean_token_accuracy": 0.21851994693279267,
+      "num_tokens": 13704675.0,
+      "step": 7515
+    },
+    {
+      "entropy": 5.2542356014251705,
+      "epoch": 6.230323115161558,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00021261989545544218,
+      "loss": 4.6623,
+      "mean_token_accuracy": 0.22553315609693528,
+      "num_tokens": 13714562.0,
+      "step": 7520
+    },
+    {
+      "entropy": 5.318307209014892,
+      "epoch": 6.234465617232809,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00021231292909068534,
+      "loss": 4.6448,
+      "mean_token_accuracy": 0.22140212655067443,
+      "num_tokens": 13723917.0,
+      "step": 7525
+    },
+    {
+      "entropy": 5.254926586151123,
+      "epoch": 6.238608119304059,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00021200608917260082,
+      "loss": 4.5832,
+      "mean_token_accuracy": 0.22523251920938492,
+      "num_tokens": 13732482.0,
+      "step": 7530
+    },
+    {
+      "entropy": 5.272995328903198,
+      "epoch": 6.24275062137531,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00021169937632011838,
+      "loss": 4.6548,
+      "mean_token_accuracy": 0.2194363296031952,
+      "num_tokens": 13742110.0,
+      "step": 7535
+    },
+    {
+      "entropy": 5.238206005096435,
+      "epoch": 6.2468931234465614,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00021139279115191123,
+      "loss": 4.574,
+      "mean_token_accuracy": 0.21389349400997162,
+      "num_tokens": 13750501.0,
+      "step": 7540
+    },
+    {
+      "entropy": 5.236702632904053,
+      "epoch": 6.2510356255178126,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00021108633428639534,
+      "loss": 4.545,
+      "mean_token_accuracy": 0.22685909420251846,
+      "num_tokens": 13759786.0,
+      "step": 7545
+    },
+    {
+      "entropy": 5.279770469665527,
+      "epoch": 6.255178127589064,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002107800063417275,
+      "loss": 4.6241,
+      "mean_token_accuracy": 0.21795655339956282,
+      "num_tokens": 13768476.0,
+      "step": 7550
+    },
+    {
+      "entropy": 5.29005618095398,
+      "epoch": 6.259320629660315,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002104738079358048,
+      "loss": 4.6586,
+      "mean_token_accuracy": 0.20849181562662125,
+      "num_tokens": 13778721.0,
+      "step": 7555
+    },
+    {
+      "entropy": 5.281201648712158,
+      "epoch": 6.263463131731566,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002101677396862628,
+      "loss": 4.6196,
+      "mean_token_accuracy": 0.22399465888738632,
+      "num_tokens": 13787108.0,
+      "step": 7560
+    },
+    {
+      "entropy": 5.1881067752838135,
+      "epoch": 6.267605633802817,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00020986180221047463,
+      "loss": 4.5398,
+      "mean_token_accuracy": 0.23230253010988236,
+      "num_tokens": 13795021.0,
+      "step": 7565
+    },
+    {
+      "entropy": 5.190041732788086,
+      "epoch": 6.271748135874068,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00020955599612554966,
+      "loss": 4.5887,
+      "mean_token_accuracy": 0.2193624496459961,
+      "num_tokens": 13804750.0,
+      "step": 7570
+    },
+    {
+      "entropy": 5.2463373184204105,
+      "epoch": 6.275890637945319,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00020925032204833206,
+      "loss": 4.5784,
+      "mean_token_accuracy": 0.22109659761190414,
+      "num_tokens": 13813910.0,
+      "step": 7575
+    },
+    {
+      "entropy": 5.329188394546509,
+      "epoch": 6.28003314001657,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00020894478059539995,
+      "loss": 4.5427,
+      "mean_token_accuracy": 0.2241484045982361,
+      "num_tokens": 13822832.0,
+      "step": 7580
+    },
+    {
+      "entropy": 5.204854440689087,
+      "epoch": 6.284175642087821,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00020863937238306375,
+      "loss": 4.5541,
+      "mean_token_accuracy": 0.2280479699373245,
+      "num_tokens": 13831951.0,
+      "step": 7585
+    },
+    {
+      "entropy": 5.172011041641236,
+      "epoch": 6.2883181441590725,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00020833409802736535,
+      "loss": 4.524,
+      "mean_token_accuracy": 0.23316972702741623,
+      "num_tokens": 13840422.0,
+      "step": 7590
+    },
+    {
+      "entropy": 5.306167030334473,
+      "epoch": 6.292460646230323,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00020802895814407636,
+      "loss": 4.6365,
+      "mean_token_accuracy": 0.22030848115682602,
+      "num_tokens": 13850903.0,
+      "step": 7595
+    },
+    {
+      "entropy": 5.244341468811035,
+      "epoch": 6.296603148301574,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002077239533486972,
+      "loss": 4.6811,
+      "mean_token_accuracy": 0.20490736216306688,
+      "num_tokens": 13859972.0,
+      "step": 7600
+    },
+    {
+      "entropy": 5.235301160812378,
+      "epoch": 6.300745650372825,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00020741908425645606,
+      "loss": 4.658,
+      "mean_token_accuracy": 0.21515794545412065,
+      "num_tokens": 13868980.0,
+      "step": 7605
+    },
+    {
+      "entropy": 5.259301996231079,
+      "epoch": 6.304888152444076,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00020711435148230707,
+      "loss": 4.5874,
+      "mean_token_accuracy": 0.21832506507635116,
+      "num_tokens": 13877901.0,
+      "step": 7610
+    },
+    {
+      "entropy": 5.245576858520508,
+      "epoch": 6.309030654515327,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00020680975564092968,
+      "loss": 4.5697,
+      "mean_token_accuracy": 0.21962837278842925,
+      "num_tokens": 13887081.0,
+      "step": 7615
+    },
+    {
+      "entropy": 5.283494472503662,
+      "epoch": 6.313173156586578,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00020650529734672686,
+      "loss": 4.693,
+      "mean_token_accuracy": 0.21509333699941635,
+      "num_tokens": 13896645.0,
+      "step": 7620
+    },
+    {
+      "entropy": 5.340816831588745,
+      "epoch": 6.317315658657829,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00020620097721382424,
+      "loss": 4.6349,
+      "mean_token_accuracy": 0.21796356588602067,
+      "num_tokens": 13905975.0,
+      "step": 7625
+    },
+    {
+      "entropy": 5.3276678085327145,
+      "epoch": 6.3214581607290805,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0002058967958560689,
+      "loss": 4.6067,
+      "mean_token_accuracy": 0.22121513932943343,
+      "num_tokens": 13914605.0,
+      "step": 7630
+    },
+    {
+      "entropy": 5.256007862091065,
+      "epoch": 6.325600662800332,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00020559275388702775,
+      "loss": 4.5442,
+      "mean_token_accuracy": 0.23139581084251404,
+      "num_tokens": 13924592.0,
+      "step": 7635
+    },
+    {
+      "entropy": 5.187183284759522,
+      "epoch": 6.329743164871583,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00020528885191998682,
+      "loss": 4.5649,
+      "mean_token_accuracy": 0.22332944571971894,
+      "num_tokens": 13933513.0,
+      "step": 7640
+    },
+    {
+      "entropy": 5.1399694919586185,
+      "epoch": 6.333885666942834,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00020498509056794952,
+      "loss": 4.4652,
+      "mean_token_accuracy": 0.23895961940288543,
+      "num_tokens": 13942173.0,
+      "step": 7645
+    },
+    {
+      "entropy": 5.177120351791382,
+      "epoch": 6.338028169014084,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00020468147044363556,
+      "loss": 4.4955,
+      "mean_token_accuracy": 0.22771447747945786,
+      "num_tokens": 13950205.0,
+      "step": 7650
+    },
+    {
+      "entropy": 5.22398190498352,
+      "epoch": 6.342170671085335,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00020437799215948017,
+      "loss": 4.5753,
+      "mean_token_accuracy": 0.22749822586774826,
+      "num_tokens": 13958956.0,
+      "step": 7655
+    },
+    {
+      "entropy": 5.209628582000732,
+      "epoch": 6.346313173156586,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002040746563276319,
+      "loss": 4.5665,
+      "mean_token_accuracy": 0.22033885568380357,
+      "num_tokens": 13967718.0,
+      "step": 7660
+    },
+    {
+      "entropy": 5.235432434082031,
+      "epoch": 6.350455675227837,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00020377146355995257,
+      "loss": 4.6617,
+      "mean_token_accuracy": 0.21480744183063508,
+      "num_tokens": 13976841.0,
+      "step": 7665
+    },
+    {
+      "entropy": 5.287872982025147,
+      "epoch": 6.3545981772990885,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00020346841446801495,
+      "loss": 4.5404,
+      "mean_token_accuracy": 0.22639259397983552,
+      "num_tokens": 13984946.0,
+      "step": 7670
+    },
+    {
+      "entropy": 5.257662773132324,
+      "epoch": 6.35874067937034,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00020316550966310222,
+      "loss": 4.6067,
+      "mean_token_accuracy": 0.21685410737991334,
+      "num_tokens": 13993521.0,
+      "step": 7675
+    },
+    {
+      "entropy": 5.183994293212891,
+      "epoch": 6.362883181441591,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002028627497562065,
+      "loss": 4.5771,
+      "mean_token_accuracy": 0.2181665539741516,
+      "num_tokens": 14002777.0,
+      "step": 7680
+    },
+    {
+      "entropy": 5.246474266052246,
+      "epoch": 6.367025683512842,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00020256013535802748,
+      "loss": 4.6261,
+      "mean_token_accuracy": 0.21209287494421006,
+      "num_tokens": 14012708.0,
+      "step": 7685
+    },
+    {
+      "entropy": 5.28727445602417,
+      "epoch": 6.371168185584093,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002022576670789717,
+      "loss": 4.6394,
+      "mean_token_accuracy": 0.2155505269765854,
+      "num_tokens": 14021088.0,
+      "step": 7690
+    },
+    {
+      "entropy": 5.280440044403076,
+      "epoch": 6.375310687655344,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002019553455291505,
+      "loss": 4.6378,
+      "mean_token_accuracy": 0.21615593284368514,
+      "num_tokens": 14031650.0,
+      "step": 7695
+    },
+    {
+      "entropy": 5.240458631515503,
+      "epoch": 6.379453189726595,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002016531713183797,
+      "loss": 4.6676,
+      "mean_token_accuracy": 0.21988083124160768,
+      "num_tokens": 14040741.0,
+      "step": 7700
+    },
+    {
+      "entropy": 5.242792797088623,
+      "epoch": 6.383595691797846,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00020135114505617752,
+      "loss": 4.6373,
+      "mean_token_accuracy": 0.2093031659722328,
+      "num_tokens": 14049913.0,
+      "step": 7705
+    },
+    {
+      "entropy": 5.277075576782226,
+      "epoch": 6.387738193869097,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00020104926735176393,
+      "loss": 4.5918,
+      "mean_token_accuracy": 0.22735825777053834,
+      "num_tokens": 14059583.0,
+      "step": 7710
+    },
+    {
+      "entropy": 5.327569150924683,
+      "epoch": 6.391880695940348,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00020074753881405949,
+      "loss": 4.5526,
+      "mean_token_accuracy": 0.22584011256694794,
+      "num_tokens": 14067376.0,
+      "step": 7715
+    },
+    {
+      "entropy": 5.247530269622803,
+      "epoch": 6.396023198011599,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002004459600516833,
+      "loss": 4.6272,
+      "mean_token_accuracy": 0.22265007048845292,
+      "num_tokens": 14076415.0,
+      "step": 7720
+    },
+    {
+      "entropy": 5.252097845077515,
+      "epoch": 6.40016570008285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00020014453167295298,
+      "loss": 4.6191,
+      "mean_token_accuracy": 0.21771289706230162,
+      "num_tokens": 14085418.0,
+      "step": 7725
+    },
+    {
+      "entropy": 5.246077394485473,
+      "epoch": 6.404308202154101,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00019984325428588229,
+      "loss": 4.6022,
+      "mean_token_accuracy": 0.22459561228752137,
+      "num_tokens": 14094454.0,
+      "step": 7730
+    },
+    {
+      "entropy": 5.269437408447265,
+      "epoch": 6.408450704225352,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00019954212849818077,
+      "loss": 4.5397,
+      "mean_token_accuracy": 0.23432922810316087,
+      "num_tokens": 14103611.0,
+      "step": 7735
+    },
+    {
+      "entropy": 5.17622013092041,
+      "epoch": 6.412593206296603,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00019924115491725197,
+      "loss": 4.4661,
+      "mean_token_accuracy": 0.23387826085090638,
+      "num_tokens": 14112145.0,
+      "step": 7740
+    },
+    {
+      "entropy": 5.237372732162475,
+      "epoch": 6.416735708367854,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019894033415019253,
+      "loss": 4.6056,
+      "mean_token_accuracy": 0.2221802607178688,
+      "num_tokens": 14121215.0,
+      "step": 7745
+    },
+    {
+      "entropy": 5.171102142333984,
+      "epoch": 6.420878210439105,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019863966680379086,
+      "loss": 4.4967,
+      "mean_token_accuracy": 0.22152459472417832,
+      "num_tokens": 14130106.0,
+      "step": 7750
+    },
+    {
+      "entropy": 5.18139157295227,
+      "epoch": 6.4250207125103564,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0001983391534845258,
+      "loss": 4.5424,
+      "mean_token_accuracy": 0.2322377920150757,
+      "num_tokens": 14139071.0,
+      "step": 7755
+    },
+    {
+      "entropy": 5.224069595336914,
+      "epoch": 6.4291632145816076,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00019803879479856547,
+      "loss": 4.5974,
+      "mean_token_accuracy": 0.21825987547636033,
+      "num_tokens": 14148018.0,
+      "step": 7760
+    },
+    {
+      "entropy": 5.2009124755859375,
+      "epoch": 6.433305716652859,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019773859135176626,
+      "loss": 4.5285,
+      "mean_token_accuracy": 0.21998629420995713,
+      "num_tokens": 14156369.0,
+      "step": 7765
+    },
+    {
+      "entropy": 5.215542888641357,
+      "epoch": 6.43744821872411,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001974385437496713,
+      "loss": 4.6106,
+      "mean_token_accuracy": 0.21984836757183074,
+      "num_tokens": 14165930.0,
+      "step": 7770
+    },
+    {
+      "entropy": 5.2183332443237305,
+      "epoch": 6.44159072079536,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00019713865259750945,
+      "loss": 4.5777,
+      "mean_token_accuracy": 0.228591625392437,
+      "num_tokens": 14175557.0,
+      "step": 7775
+    },
+    {
+      "entropy": 5.288492584228516,
+      "epoch": 6.445733222866611,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019683891850019391,
+      "loss": 4.65,
+      "mean_token_accuracy": 0.2170352444052696,
+      "num_tokens": 14185532.0,
+      "step": 7780
+    },
+    {
+      "entropy": 5.372134733200073,
+      "epoch": 6.449875724937862,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00019653934206232098,
+      "loss": 4.7328,
+      "mean_token_accuracy": 0.21203465312719344,
+      "num_tokens": 14194307.0,
+      "step": 7785
+    },
+    {
+      "entropy": 5.317110586166382,
+      "epoch": 6.454018227009113,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00019623992388816935,
+      "loss": 4.6817,
+      "mean_token_accuracy": 0.22098743617534639,
+      "num_tokens": 14203900.0,
+      "step": 7790
+    },
+    {
+      "entropy": 5.264908695220948,
+      "epoch": 6.458160729080364,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0001959406645816979,
+      "loss": 4.604,
+      "mean_token_accuracy": 0.22145358771085738,
+      "num_tokens": 14213232.0,
+      "step": 7795
+    },
+    {
+      "entropy": 5.2155252456665036,
+      "epoch": 6.4623032311516155,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00019564156474654554,
+      "loss": 4.545,
+      "mean_token_accuracy": 0.21945291459560395,
+      "num_tokens": 14221365.0,
+      "step": 7800
+    },
+    {
+      "entropy": 5.183708381652832,
+      "epoch": 6.466445733222867,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00019534262498602928,
+      "loss": 4.5722,
+      "mean_token_accuracy": 0.21912614554166793,
+      "num_tokens": 14229878.0,
+      "step": 7805
+    },
+    {
+      "entropy": 5.247611427307129,
+      "epoch": 6.470588235294118,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00019504384590314318,
+      "loss": 4.6163,
+      "mean_token_accuracy": 0.21504329293966293,
+      "num_tokens": 14239132.0,
+      "step": 7810
+    },
+    {
+      "entropy": 5.27608289718628,
+      "epoch": 6.474730737365369,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.00019474522810055745,
+      "loss": 4.6315,
+      "mean_token_accuracy": 0.22245015799999238,
+      "num_tokens": 14247116.0,
+      "step": 7815
+    },
+    {
+      "entropy": 5.237215900421143,
+      "epoch": 6.47887323943662,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00019444677218061673,
+      "loss": 4.5876,
+      "mean_token_accuracy": 0.22378402203321457,
+      "num_tokens": 14255423.0,
+      "step": 7820
+    },
+    {
+      "entropy": 5.22880802154541,
+      "epoch": 6.483015741507871,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.0001941484787453393,
+      "loss": 4.5576,
+      "mean_token_accuracy": 0.22750293612480163,
+      "num_tokens": 14263836.0,
+      "step": 7825
+    },
+    {
+      "entropy": 5.1975545406341555,
+      "epoch": 6.487158243579122,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00019385034839641558,
+      "loss": 4.6818,
+      "mean_token_accuracy": 0.21816913187503814,
+      "num_tokens": 14273460.0,
+      "step": 7830
+    },
+    {
+      "entropy": 5.288527727127075,
+      "epoch": 6.491300745650372,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001935523817352071,
+      "loss": 4.6991,
+      "mean_token_accuracy": 0.21707435250282286,
+      "num_tokens": 14282925.0,
+      "step": 7835
+    },
+    {
+      "entropy": 5.283282852172851,
+      "epoch": 6.4954432477216235,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019325457936274516,
+      "loss": 4.5817,
+      "mean_token_accuracy": 0.22622769176959992,
+      "num_tokens": 14292059.0,
+      "step": 7840
+    },
+    {
+      "entropy": 5.274545192718506,
+      "epoch": 6.499585749792875,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00019295694187972955,
+      "loss": 4.6371,
+      "mean_token_accuracy": 0.2125675469636917,
+      "num_tokens": 14301276.0,
+      "step": 7845
+    },
+    {
+      "entropy": 5.247177505493164,
+      "epoch": 6.503728251864126,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019265946988652783,
+      "loss": 4.6386,
+      "mean_token_accuracy": 0.21370143294334412,
+      "num_tokens": 14310259.0,
+      "step": 7850
+    },
+    {
+      "entropy": 5.227504730224609,
+      "epoch": 6.507870753935377,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0001923621639831733,
+      "loss": 4.5105,
+      "mean_token_accuracy": 0.22504902780056,
+      "num_tokens": 14318782.0,
+      "step": 7855
+    },
+    {
+      "entropy": 5.173471689224243,
+      "epoch": 6.512013256006628,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00019206502476936467,
+      "loss": 4.4963,
+      "mean_token_accuracy": 0.23206298500299455,
+      "num_tokens": 14327571.0,
+      "step": 7860
+    },
+    {
+      "entropy": 5.135555934906006,
+      "epoch": 6.516155758077879,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00019176805284446414,
+      "loss": 4.5319,
+      "mean_token_accuracy": 0.23313156962394715,
+      "num_tokens": 14336974.0,
+      "step": 7865
+    },
+    {
+      "entropy": 5.291125202178955,
+      "epoch": 6.52029826014913,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00019147124880749633,
+      "loss": 4.6926,
+      "mean_token_accuracy": 0.218401962518692,
+      "num_tokens": 14346367.0,
+      "step": 7870
+    },
+    {
+      "entropy": 5.287627267837524,
+      "epoch": 6.524440762220381,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00019117461325714768,
+      "loss": 4.6304,
+      "mean_token_accuracy": 0.22132983505725862,
+      "num_tokens": 14355641.0,
+      "step": 7875
+    },
+    {
+      "entropy": 5.246808195114136,
+      "epoch": 6.528583264291632,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019087814679176436,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.22451686710119248,
+      "num_tokens": 14364927.0,
+      "step": 7880
+    },
+    {
+      "entropy": 5.234672212600708,
+      "epoch": 6.5327257663628835,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019058185000935175,
+      "loss": 4.5399,
+      "mean_token_accuracy": 0.22587109208106995,
+      "num_tokens": 14373370.0,
+      "step": 7885
+    },
+    {
+      "entropy": 5.254017162322998,
+      "epoch": 6.536868268434135,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00019028572350757278,
+      "loss": 4.6124,
+      "mean_token_accuracy": 0.21654532849788666,
+      "num_tokens": 14381820.0,
+      "step": 7890
+    },
+    {
+      "entropy": 5.2422840118408205,
+      "epoch": 6.541010770505386,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018998976788374682,
+      "loss": 4.5875,
+      "mean_token_accuracy": 0.21863880306482314,
+      "num_tokens": 14391158.0,
+      "step": 7895
+    },
+    {
+      "entropy": 5.201485252380371,
+      "epoch": 6.545153272576636,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00018969398373484898,
+      "loss": 4.6299,
+      "mean_token_accuracy": 0.21829961985349655,
+      "num_tokens": 14399945.0,
+      "step": 7900
+    },
+    {
+      "entropy": 5.200627136230469,
+      "epoch": 6.549295774647887,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00018939837165750796,
+      "loss": 4.5447,
+      "mean_token_accuracy": 0.22442623525857924,
+      "num_tokens": 14410275.0,
+      "step": 7905
+    },
+    {
+      "entropy": 5.29403018951416,
+      "epoch": 6.553438276719138,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00018910293224800584,
+      "loss": 4.6482,
+      "mean_token_accuracy": 0.2173393338918686,
+      "num_tokens": 14420369.0,
+      "step": 7910
+    },
+    {
+      "entropy": 5.291232109069824,
+      "epoch": 6.557580778790389,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00018880766610227608,
+      "loss": 4.6234,
+      "mean_token_accuracy": 0.22409190386533737,
+      "num_tokens": 14429078.0,
+      "step": 7915
+    },
+    {
+      "entropy": 5.234523487091065,
+      "epoch": 6.56172328086164,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018851257381590264,
+      "loss": 4.5824,
+      "mean_token_accuracy": 0.22088503539562226,
+      "num_tokens": 14438920.0,
+      "step": 7920
+    },
+    {
+      "entropy": 5.292790508270263,
+      "epoch": 6.5658657829328915,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018821765598411917,
+      "loss": 4.7699,
+      "mean_token_accuracy": 0.20645501464605331,
+      "num_tokens": 14449164.0,
+      "step": 7925
+    },
+    {
+      "entropy": 5.241003036499023,
+      "epoch": 6.570008285004143,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00018792291320180693,
+      "loss": 4.6977,
+      "mean_token_accuracy": 0.2070661887526512,
+      "num_tokens": 14459418.0,
+      "step": 7930
+    },
+    {
+      "entropy": 5.294680643081665,
+      "epoch": 6.574150787075394,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00018762834606349455,
+      "loss": 4.5906,
+      "mean_token_accuracy": 0.22685577124357223,
+      "num_tokens": 14468691.0,
+      "step": 7935
+    },
+    {
+      "entropy": 5.322669315338135,
+      "epoch": 6.578293289146645,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00018733395516335588,
+      "loss": 4.6731,
+      "mean_token_accuracy": 0.21569546610116958,
+      "num_tokens": 14477936.0,
+      "step": 7940
+    },
+    {
+      "entropy": 5.285602855682373,
+      "epoch": 6.582435791217896,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00018703974109520976,
+      "loss": 4.6442,
+      "mean_token_accuracy": 0.22226325422525406,
+      "num_tokens": 14487191.0,
+      "step": 7945
+    },
+    {
+      "entropy": 5.2095410346984865,
+      "epoch": 6.586578293289147,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018674570445251798,
+      "loss": 4.566,
+      "mean_token_accuracy": 0.2255881741642952,
+      "num_tokens": 14495731.0,
+      "step": 7950
+    },
+    {
+      "entropy": 5.200072622299194,
+      "epoch": 6.590720795360397,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018645184582838465,
+      "loss": 4.5668,
+      "mean_token_accuracy": 0.22047847658395767,
+      "num_tokens": 14505009.0,
+      "step": 7955
+    },
+    {
+      "entropy": 5.211784410476684,
+      "epoch": 6.594863297431648,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00018615816581555466,
+      "loss": 4.614,
+      "mean_token_accuracy": 0.21996732503175737,
+      "num_tokens": 14513843.0,
+      "step": 7960
+    },
+    {
+      "entropy": 5.188229322433472,
+      "epoch": 6.5990057995028994,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0001858646650064128,
+      "loss": 4.6074,
+      "mean_token_accuracy": 0.22044946551322936,
+      "num_tokens": 14523405.0,
+      "step": 7965
+    },
+    {
+      "entropy": 5.254159069061279,
+      "epoch": 6.603148301574151,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018557134399298215,
+      "loss": 4.6781,
+      "mean_token_accuracy": 0.21682086437940598,
+      "num_tokens": 14532615.0,
+      "step": 7970
+    },
+    {
+      "entropy": 5.2646036624908445,
+      "epoch": 6.607290803645402,
+      "grad_norm": 1.671875,
+      "learning_rate": 0.0001852782033669233,
+      "loss": 4.6101,
+      "mean_token_accuracy": 0.22458707094192504,
+      "num_tokens": 14541297.0,
+      "step": 7975
+    },
+    {
+      "entropy": 5.216501903533936,
+      "epoch": 6.611433305716653,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00018498524371953295,
+      "loss": 4.556,
+      "mean_token_accuracy": 0.22257563024759291,
+      "num_tokens": 14549867.0,
+      "step": 7980
+    },
+    {
+      "entropy": 5.22313437461853,
+      "epoch": 6.615575807787904,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018469246564174275,
+      "loss": 4.6508,
+      "mean_token_accuracy": 0.20906404107809068,
+      "num_tokens": 14558708.0,
+      "step": 7985
+    },
+    {
+      "entropy": 5.215989065170288,
+      "epoch": 6.619718309859155,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.000184399869724118,
+      "loss": 4.648,
+      "mean_token_accuracy": 0.21317926198244094,
+      "num_tokens": 14567917.0,
+      "step": 7990
+    },
+    {
+      "entropy": 5.194528484344483,
+      "epoch": 6.623860811930406,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00018410745655685662,
+      "loss": 4.5161,
+      "mean_token_accuracy": 0.23143290728330612,
+      "num_tokens": 14576417.0,
+      "step": 7995
+    },
+    {
+      "entropy": 5.19383282661438,
+      "epoch": 6.628003314001657,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00018381522672978806,
+      "loss": 4.5967,
+      "mean_token_accuracy": 0.2205110549926758,
+      "num_tokens": 14585172.0,
+      "step": 8000
+    },
+    {
+      "epoch": 6.628003314001657,
+      "eval_entropy": 5.144060653409978,
+      "eval_loss": 5.7370734214782715,
+      "eval_mean_token_accuracy": 0.1679431346020719,
+      "eval_num_tokens": 14585172.0,
+      "eval_runtime": 2.746,
+      "eval_samples_per_second": 1364.549,
+      "eval_steps_per_second": 170.796,
+      "step": 8000
+    },
+    {
+      "entropy": 5.2945750713348385,
+      "epoch": 6.632145816072908,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00018352318083237167,
+      "loss": 4.6209,
+      "mean_token_accuracy": 0.21357694566249846,
+      "num_tokens": 14593758.0,
+      "step": 8005
+    },
+    {
+      "entropy": 5.269504880905151,
+      "epoch": 6.636288318144159,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00018323131945369603,
+      "loss": 4.5957,
+      "mean_token_accuracy": 0.2212613955140114,
+      "num_tokens": 14602558.0,
+      "step": 8010
+    },
+    {
+      "entropy": 5.292761898040771,
+      "epoch": 6.6404308202154105,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00018293964318247735,
+      "loss": 4.5895,
+      "mean_token_accuracy": 0.22187672108411788,
+      "num_tokens": 14611463.0,
+      "step": 8015
+    },
+    {
+      "entropy": 5.268460607528686,
+      "epoch": 6.644573322286661,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00018264815260705863,
+      "loss": 4.6303,
+      "mean_token_accuracy": 0.22261828631162645,
+      "num_tokens": 14619951.0,
+      "step": 8020
+    },
+    {
+      "entropy": 5.312491035461425,
+      "epoch": 6.648715824357912,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00018235684831540826,
+      "loss": 4.6601,
+      "mean_token_accuracy": 0.2227204129099846,
+      "num_tokens": 14629332.0,
+      "step": 8025
+    },
+    {
+      "entropy": 5.215784406661987,
+      "epoch": 6.652858326429163,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018206573089511862,
+      "loss": 4.6116,
+      "mean_token_accuracy": 0.22559183984994888,
+      "num_tokens": 14639010.0,
+      "step": 8030
+    },
+    {
+      "entropy": 5.217174816131592,
+      "epoch": 6.657000828500414,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00018177480093340564,
+      "loss": 4.644,
+      "mean_token_accuracy": 0.2131648376584053,
+      "num_tokens": 14648507.0,
+      "step": 8035
+    },
+    {
+      "entropy": 5.26403660774231,
+      "epoch": 6.661143330571665,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0001814840590171065,
+      "loss": 4.6395,
+      "mean_token_accuracy": 0.216891747713089,
+      "num_tokens": 14657892.0,
+      "step": 8040
+    },
+    {
+      "entropy": 5.276500272750854,
+      "epoch": 6.665285832642916,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018119350573267979,
+      "loss": 4.5962,
+      "mean_token_accuracy": 0.22690920978784562,
+      "num_tokens": 14666460.0,
+      "step": 8045
+    },
+    {
+      "entropy": 5.25149884223938,
+      "epoch": 6.669428334714167,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018090314166620302,
+      "loss": 4.5902,
+      "mean_token_accuracy": 0.2189852774143219,
+      "num_tokens": 14675046.0,
+      "step": 8050
+    },
+    {
+      "entropy": 5.219921970367432,
+      "epoch": 6.6735708367854185,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018061296740337225,
+      "loss": 4.6258,
+      "mean_token_accuracy": 0.2165866807103157,
+      "num_tokens": 14685055.0,
+      "step": 8055
+    },
+    {
+      "entropy": 5.248022747039795,
+      "epoch": 6.67771333885667,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00018032298352950077,
+      "loss": 4.5972,
+      "mean_token_accuracy": 0.2188133031129837,
+      "num_tokens": 14695371.0,
+      "step": 8060
+    },
+    {
+      "entropy": 5.225955820083618,
+      "epoch": 6.681855840927921,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00018003319062951756,
+      "loss": 4.569,
+      "mean_token_accuracy": 0.2223624899983406,
+      "num_tokens": 14703671.0,
+      "step": 8065
+    },
+    {
+      "entropy": 5.195835924148559,
+      "epoch": 6.685998342999172,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00017974358928796682,
+      "loss": 4.5951,
+      "mean_token_accuracy": 0.22712722718715667,
+      "num_tokens": 14712527.0,
+      "step": 8070
+    },
+    {
+      "entropy": 5.231344604492188,
+      "epoch": 6.690140845070422,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00017945418008900594,
+      "loss": 4.6311,
+      "mean_token_accuracy": 0.22212356179952622,
+      "num_tokens": 14720711.0,
+      "step": 8075
+    },
+    {
+      "entropy": 5.25670371055603,
+      "epoch": 6.694283347141674,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0001791649636164049,
+      "loss": 4.6664,
+      "mean_token_accuracy": 0.21566284000873565,
+      "num_tokens": 14729667.0,
+      "step": 8080
+    },
+    {
+      "entropy": 5.32373685836792,
+      "epoch": 6.698425849212924,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000178875940453545,
+      "loss": 4.612,
+      "mean_token_accuracy": 0.2260928839445114,
+      "num_tokens": 14738614.0,
+      "step": 8085
+    },
+    {
+      "entropy": 5.285801553726197,
+      "epoch": 6.702568351284175,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00017858711118341742,
+      "loss": 4.611,
+      "mean_token_accuracy": 0.22119891494512559,
+      "num_tokens": 14747724.0,
+      "step": 8090
+    },
+    {
+      "entropy": 5.189185285568238,
+      "epoch": 6.7067108533554265,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00017829847638862255,
+      "loss": 4.5783,
+      "mean_token_accuracy": 0.22308655232191085,
+      "num_tokens": 14757436.0,
+      "step": 8095
+    },
+    {
+      "entropy": 5.163452911376953,
+      "epoch": 6.710853355426678,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00017801003665136823,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.22859434187412261,
+      "num_tokens": 14765948.0,
+      "step": 8100
+    },
+    {
+      "entropy": 5.2175110340118405,
+      "epoch": 6.714995857497929,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00017772179255346883,
+      "loss": 4.5924,
+      "mean_token_accuracy": 0.21859526336193086,
+      "num_tokens": 14775397.0,
+      "step": 8105
+    },
+    {
+      "entropy": 5.2649805545806885,
+      "epoch": 6.71913835956918,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00017743374467634433,
+      "loss": 4.5547,
+      "mean_token_accuracy": 0.22480292171239852,
+      "num_tokens": 14783605.0,
+      "step": 8110
+    },
+    {
+      "entropy": 5.262083387374878,
+      "epoch": 6.723280861640431,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00017714589360101862,
+      "loss": 4.6719,
+      "mean_token_accuracy": 0.2111577272415161,
+      "num_tokens": 14792210.0,
+      "step": 8115
+    },
+    {
+      "entropy": 5.165537548065186,
+      "epoch": 6.727423363711682,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000176858239908119,
+      "loss": 4.5663,
+      "mean_token_accuracy": 0.21831904202699662,
+      "num_tokens": 14801186.0,
+      "step": 8120
+    },
+    {
+      "entropy": 5.171479225158691,
+      "epoch": 6.731565865782933,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00017657078417787414,
+      "loss": 4.5126,
+      "mean_token_accuracy": 0.2303812935948372,
+      "num_tokens": 14810100.0,
+      "step": 8125
+    },
+    {
+      "entropy": 5.1626139163970945,
+      "epoch": 6.735708367854184,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017628352699011396,
+      "loss": 4.4932,
+      "mean_token_accuracy": 0.22342629581689835,
+      "num_tokens": 14819335.0,
+      "step": 8130
+    },
+    {
+      "entropy": 5.184713125228882,
+      "epoch": 6.739850869925435,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001759964689242674,
+      "loss": 4.6115,
+      "mean_token_accuracy": 0.22678097039461137,
+      "num_tokens": 14828686.0,
+      "step": 8135
+    },
+    {
+      "entropy": 5.233674144744873,
+      "epoch": 6.743993371996686,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001757096105593619,
+      "loss": 4.6202,
+      "mean_token_accuracy": 0.21709106266498565,
+      "num_tokens": 14838312.0,
+      "step": 8140
+    },
+    {
+      "entropy": 5.149096870422364,
+      "epoch": 6.748135874067937,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00017542295247402234,
+      "loss": 4.5595,
+      "mean_token_accuracy": 0.22249870449304582,
+      "num_tokens": 14846838.0,
+      "step": 8145
+    },
+    {
+      "entropy": 5.202677154541016,
+      "epoch": 6.752278376139188,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00017513649524646919,
+      "loss": 4.6182,
+      "mean_token_accuracy": 0.21352985352277756,
+      "num_tokens": 14857427.0,
+      "step": 8150
+    },
+    {
+      "entropy": 5.231053304672241,
+      "epoch": 6.756420878210439,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001748502394545181,
+      "loss": 4.6142,
+      "mean_token_accuracy": 0.2143697887659073,
+      "num_tokens": 14866244.0,
+      "step": 8155
+    },
+    {
+      "entropy": 5.2318687915802,
+      "epoch": 6.76056338028169,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001745641856755783,
+      "loss": 4.6272,
+      "mean_token_accuracy": 0.2168770670890808,
+      "num_tokens": 14875697.0,
+      "step": 8160
+    },
+    {
+      "entropy": 5.213436222076416,
+      "epoch": 6.764705882352941,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00017427833448665136,
+      "loss": 4.6431,
+      "mean_token_accuracy": 0.22060779482126236,
+      "num_tokens": 14884650.0,
+      "step": 8165
+    },
+    {
+      "entropy": 5.221727609634399,
+      "epoch": 6.768848384424192,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00017399268646433065,
+      "loss": 4.5726,
+      "mean_token_accuracy": 0.22035471200942994,
+      "num_tokens": 14894058.0,
+      "step": 8170
+    },
+    {
+      "entropy": 5.291379785537719,
+      "epoch": 6.772990886495443,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00017370724218479912,
+      "loss": 4.6928,
+      "mean_token_accuracy": 0.21716551035642623,
+      "num_tokens": 14903219.0,
+      "step": 8175
+    },
+    {
+      "entropy": 5.280435705184937,
+      "epoch": 6.7771333885666944,
+      "grad_norm": 1.5234375,
+      "learning_rate": 0.00017342200222382934,
+      "loss": 4.6104,
+      "mean_token_accuracy": 0.21606069803237915,
+      "num_tokens": 14913051.0,
+      "step": 8180
+    },
+    {
+      "entropy": 5.284905195236206,
+      "epoch": 6.781275890637946,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00017313696715678134,
+      "loss": 4.6263,
+      "mean_token_accuracy": 0.2211444079875946,
+      "num_tokens": 14921777.0,
+      "step": 8185
+    },
+    {
+      "entropy": 5.336038494110108,
+      "epoch": 6.785418392709197,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.000172852137558602,
+      "loss": 4.7612,
+      "mean_token_accuracy": 0.20792590975761413,
+      "num_tokens": 14931558.0,
+      "step": 8190
+    },
+    {
+      "entropy": 5.2495917797088625,
+      "epoch": 6.789560894780448,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00017256751400382384,
+      "loss": 4.6749,
+      "mean_token_accuracy": 0.2186842069029808,
+      "num_tokens": 14940584.0,
+      "step": 8195
+    },
+    {
+      "entropy": 5.260048294067383,
+      "epoch": 6.793703396851699,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00017228309706656354,
+      "loss": 4.6003,
+      "mean_token_accuracy": 0.2234319806098938,
+      "num_tokens": 14950830.0,
+      "step": 8200
+    },
+    {
+      "entropy": 5.309694099426269,
+      "epoch": 6.797845898922949,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001719988873205213,
+      "loss": 4.6046,
+      "mean_token_accuracy": 0.2206121563911438,
+      "num_tokens": 14958990.0,
+      "step": 8205
+    },
+    {
+      "entropy": 5.258207225799561,
+      "epoch": 6.8019884009942,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00017171488533897916,
+      "loss": 4.6389,
+      "mean_token_accuracy": 0.216607928276062,
+      "num_tokens": 14967451.0,
+      "step": 8210
+    },
+    {
+      "entropy": 5.220820093154908,
+      "epoch": 6.806130903065451,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00017143109169480005,
+      "loss": 4.5703,
+      "mean_token_accuracy": 0.2230973109602928,
+      "num_tokens": 14976157.0,
+      "step": 8215
+    },
+    {
+      "entropy": 5.277642917633057,
+      "epoch": 6.810273405136702,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017114750696042695,
+      "loss": 4.6916,
+      "mean_token_accuracy": 0.211100971698761,
+      "num_tokens": 14985591.0,
+      "step": 8220
+    },
+    {
+      "entropy": 5.277077102661133,
+      "epoch": 6.8144159072079535,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00017086413170788107,
+      "loss": 4.5868,
+      "mean_token_accuracy": 0.22545621395111085,
+      "num_tokens": 14994513.0,
+      "step": 8225
+    },
+    {
+      "entropy": 5.249056625366211,
+      "epoch": 6.818558409279205,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00017058096650876143,
+      "loss": 4.6555,
+      "mean_token_accuracy": 0.21752652078866958,
+      "num_tokens": 15003252.0,
+      "step": 8230
+    },
+    {
+      "entropy": 5.268651342391967,
+      "epoch": 6.822700911350456,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017029801193424313,
+      "loss": 4.5678,
+      "mean_token_accuracy": 0.21832710206508638,
+      "num_tokens": 15012342.0,
+      "step": 8235
+    },
+    {
+      "entropy": 5.17280683517456,
+      "epoch": 6.826843413421707,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017001526855507632,
+      "loss": 4.5248,
+      "mean_token_accuracy": 0.22667909115552903,
+      "num_tokens": 15021336.0,
+      "step": 8240
+    },
+    {
+      "entropy": 5.232009410858154,
+      "epoch": 6.830985915492958,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00016973273694158555,
+      "loss": 4.5752,
+      "mean_token_accuracy": 0.21583533883094788,
+      "num_tokens": 15031016.0,
+      "step": 8245
+    },
+    {
+      "entropy": 5.281693077087402,
+      "epoch": 6.835128417564209,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00016945041766366773,
+      "loss": 4.5846,
+      "mean_token_accuracy": 0.22162794917821885,
+      "num_tokens": 15039181.0,
+      "step": 8250
+    },
+    {
+      "entropy": 5.255547618865966,
+      "epoch": 6.83927091963546,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00016916831129079187,
+      "loss": 4.647,
+      "mean_token_accuracy": 0.2128545254468918,
+      "num_tokens": 15048563.0,
+      "step": 8255
+    },
+    {
+      "entropy": 5.248698711395264,
+      "epoch": 6.84341342170671,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001688864183919973,
+      "loss": 4.5936,
+      "mean_token_accuracy": 0.22442127764225006,
+      "num_tokens": 15056960.0,
+      "step": 8260
+    },
+    {
+      "entropy": 5.307019329071045,
+      "epoch": 6.8475559237779615,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00016860473953589266,
+      "loss": 4.6347,
+      "mean_token_accuracy": 0.21388418227434158,
+      "num_tokens": 15065645.0,
+      "step": 8265
+    },
+    {
+      "entropy": 5.223530387878418,
+      "epoch": 6.851698425849213,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00016832327529065522,
+      "loss": 4.5822,
+      "mean_token_accuracy": 0.22318441718816756,
+      "num_tokens": 15074544.0,
+      "step": 8270
+    },
+    {
+      "entropy": 5.267363739013672,
+      "epoch": 6.855840927920464,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001680420262240289,
+      "loss": 4.6343,
+      "mean_token_accuracy": 0.21753862798213958,
+      "num_tokens": 15083543.0,
+      "step": 8275
+    },
+    {
+      "entropy": 5.204693603515625,
+      "epoch": 6.859983429991715,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00016776099290332397,
+      "loss": 4.6145,
+      "mean_token_accuracy": 0.2235179975628853,
+      "num_tokens": 15092291.0,
+      "step": 8280
+    },
+    {
+      "entropy": 5.3212086200714115,
+      "epoch": 6.864125932062966,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00016748017589541525,
+      "loss": 4.6697,
+      "mean_token_accuracy": 0.2193456619977951,
+      "num_tokens": 15100875.0,
+      "step": 8285
+    },
+    {
+      "entropy": 5.275527429580689,
+      "epoch": 6.868268434134217,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0001671995757667414,
+      "loss": 4.6246,
+      "mean_token_accuracy": 0.22207115739583969,
+      "num_tokens": 15111385.0,
+      "step": 8290
+    },
+    {
+      "entropy": 5.325754880905151,
+      "epoch": 6.872410936205468,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00016691919308330343,
+      "loss": 4.6412,
+      "mean_token_accuracy": 0.2226441338658333,
+      "num_tokens": 15121153.0,
+      "step": 8295
+    },
+    {
+      "entropy": 5.278840351104736,
+      "epoch": 6.876553438276719,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00016663902841066404,
+      "loss": 4.6258,
+      "mean_token_accuracy": 0.21953531950712205,
+      "num_tokens": 15130132.0,
+      "step": 8300
+    },
+    {
+      "entropy": 5.229125213623047,
+      "epoch": 6.88069594034797,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00016635908231394587,
+      "loss": 4.6111,
+      "mean_token_accuracy": 0.2153362438082695,
+      "num_tokens": 15138878.0,
+      "step": 8305
+    },
+    {
+      "entropy": 5.198756742477417,
+      "epoch": 6.8848384424192215,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0001660793553578307,
+      "loss": 4.6868,
+      "mean_token_accuracy": 0.20835813581943513,
+      "num_tokens": 15148727.0,
+      "step": 8310
+    },
+    {
+      "entropy": 5.257393503189087,
+      "epoch": 6.888980944490473,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00016579984810655856,
+      "loss": 4.6404,
+      "mean_token_accuracy": 0.21736776530742646,
+      "num_tokens": 15158107.0,
+      "step": 8315
+    },
+    {
+      "entropy": 5.275184488296508,
+      "epoch": 6.893123446561724,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00016552056112392594,
+      "loss": 4.6178,
+      "mean_token_accuracy": 0.21456918865442276,
+      "num_tokens": 15168101.0,
+      "step": 8320
+    },
+    {
+      "entropy": 5.249782991409302,
+      "epoch": 6.897265948632974,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0001652414949732854,
+      "loss": 4.5573,
+      "mean_token_accuracy": 0.22505220770835876,
+      "num_tokens": 15176376.0,
+      "step": 8325
+    },
+    {
+      "entropy": 5.2404684066772464,
+      "epoch": 6.901408450704225,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00016496265021754365,
+      "loss": 4.5925,
+      "mean_token_accuracy": 0.2170558288693428,
+      "num_tokens": 15184936.0,
+      "step": 8330
+    },
+    {
+      "entropy": 5.271342658996582,
+      "epoch": 6.905550952775476,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00016468402741916124,
+      "loss": 4.6586,
+      "mean_token_accuracy": 0.22344124019145967,
+      "num_tokens": 15194846.0,
+      "step": 8335
+    },
+    {
+      "entropy": 5.263687086105347,
+      "epoch": 6.909693454846727,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001644056271401506,
+      "loss": 4.6187,
+      "mean_token_accuracy": 0.22206373363733292,
+      "num_tokens": 15204543.0,
+      "step": 8340
+    },
+    {
+      "entropy": 5.221840810775757,
+      "epoch": 6.913835956917978,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00016412744994207573,
+      "loss": 4.5897,
+      "mean_token_accuracy": 0.215163554251194,
+      "num_tokens": 15213459.0,
+      "step": 8345
+    },
+    {
+      "entropy": 5.209072399139404,
+      "epoch": 6.9179784589892295,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00016384949638605025,
+      "loss": 4.6864,
+      "mean_token_accuracy": 0.20790564268827438,
+      "num_tokens": 15223841.0,
+      "step": 8350
+    },
+    {
+      "entropy": 5.225527238845825,
+      "epoch": 6.922120961060481,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00016357176703273696,
+      "loss": 4.6187,
+      "mean_token_accuracy": 0.22101123183965682,
+      "num_tokens": 15233594.0,
+      "step": 8355
+    },
+    {
+      "entropy": 5.251284885406494,
+      "epoch": 6.926263463131732,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0001632942624423463,
+      "loss": 4.5643,
+      "mean_token_accuracy": 0.22933652848005295,
+      "num_tokens": 15242876.0,
+      "step": 8360
+    },
+    {
+      "entropy": 5.297107553482055,
+      "epoch": 6.930405965202983,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00016301698317463525,
+      "loss": 4.6565,
+      "mean_token_accuracy": 0.2228442072868347,
+      "num_tokens": 15251581.0,
+      "step": 8365
+    },
+    {
+      "entropy": 5.252490663528443,
+      "epoch": 6.934548467274234,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00016273992978890658,
+      "loss": 4.5084,
+      "mean_token_accuracy": 0.22431502342224122,
+      "num_tokens": 15260601.0,
+      "step": 8370
+    },
+    {
+      "entropy": 5.232750654220581,
+      "epoch": 6.938690969345485,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001624631028440071,
+      "loss": 4.5322,
+      "mean_token_accuracy": 0.22127106189727783,
+      "num_tokens": 15270123.0,
+      "step": 8375
+    },
+    {
+      "entropy": 5.301280069351196,
+      "epoch": 6.942833471416735,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0001621865028983271,
+      "loss": 4.6664,
+      "mean_token_accuracy": 0.2162109360098839,
+      "num_tokens": 15278623.0,
+      "step": 8380
+    },
+    {
+      "entropy": 5.187017822265625,
+      "epoch": 6.946975973487987,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001619101305097988,
+      "loss": 4.569,
+      "mean_token_accuracy": 0.22274162173271178,
+      "num_tokens": 15287789.0,
+      "step": 8385
+    },
+    {
+      "entropy": 5.105927991867065,
+      "epoch": 6.9511184755592375,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.00016163398623589563,
+      "loss": 4.5276,
+      "mean_token_accuracy": 0.23134084939956664,
+      "num_tokens": 15296266.0,
+      "step": 8390
+    },
+    {
+      "entropy": 5.268940114974976,
+      "epoch": 6.955260977630489,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00016135807063363074,
+      "loss": 4.6269,
+      "mean_token_accuracy": 0.21198562532663345,
+      "num_tokens": 15304785.0,
+      "step": 8395
+    },
+    {
+      "entropy": 5.171991634368896,
+      "epoch": 6.95940347970174,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00016108238425955584,
+      "loss": 4.5327,
+      "mean_token_accuracy": 0.22577450573444366,
+      "num_tokens": 15313727.0,
+      "step": 8400
+    },
+    {
+      "entropy": 5.254316186904907,
+      "epoch": 6.963545981772991,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0001608069276697608,
+      "loss": 4.7158,
+      "mean_token_accuracy": 0.21332326233386995,
+      "num_tokens": 15322911.0,
+      "step": 8405
+    },
+    {
+      "entropy": 5.300360822677613,
+      "epoch": 6.967688483844242,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001605317014198714,
+      "loss": 4.6163,
+      "mean_token_accuracy": 0.22070427536964415,
+      "num_tokens": 15330882.0,
+      "step": 8410
+    },
+    {
+      "entropy": 5.221141958236695,
+      "epoch": 6.971830985915493,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00016025670606504926,
+      "loss": 4.523,
+      "mean_token_accuracy": 0.22398052662611007,
+      "num_tokens": 15339915.0,
+      "step": 8415
+    },
+    {
+      "entropy": 5.213225173950195,
+      "epoch": 6.975973487986744,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001599819421599899,
+      "loss": 4.5878,
+      "mean_token_accuracy": 0.21864742040634155,
+      "num_tokens": 15348181.0,
+      "step": 8420
+    },
+    {
+      "entropy": 5.188560724258423,
+      "epoch": 6.980115990057995,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00015970741025892233,
+      "loss": 4.5452,
+      "mean_token_accuracy": 0.2271549642086029,
+      "num_tokens": 15357128.0,
+      "step": 8425
+    },
+    {
+      "entropy": 5.209831953048706,
+      "epoch": 6.984258492129246,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00015943311091560721,
+      "loss": 4.6538,
+      "mean_token_accuracy": 0.22213561683893204,
+      "num_tokens": 15366878.0,
+      "step": 8430
+    },
+    {
+      "entropy": 5.3097316265106205,
+      "epoch": 6.988400994200497,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00015915904468333635,
+      "loss": 4.5939,
+      "mean_token_accuracy": 0.22847030758857728,
+      "num_tokens": 15376101.0,
+      "step": 8435
+    },
+    {
+      "entropy": 5.18035774230957,
+      "epoch": 6.9925434962717485,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00015888521211493135,
+      "loss": 4.5421,
+      "mean_token_accuracy": 0.21641024351119995,
+      "num_tokens": 15384942.0,
+      "step": 8440
+    },
+    {
+      "entropy": 5.193719911575317,
+      "epoch": 6.996685998342999,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001586116137627423,
+      "loss": 4.5648,
+      "mean_token_accuracy": 0.22552343606948852,
+      "num_tokens": 15394380.0,
+      "step": 8445
+    },
+    {
+      "entropy": 5.28035192489624,
+      "epoch": 7.00082850041425,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00015833825017864711,
+      "loss": 4.4966,
+      "mean_token_accuracy": 0.23881841003894805,
+      "num_tokens": 15402180.0,
+      "step": 8450
+    },
+    {
+      "entropy": 5.25820837020874,
+      "epoch": 7.004971002485501,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00015806512191405,
+      "loss": 4.5534,
+      "mean_token_accuracy": 0.22912415564060212,
+      "num_tokens": 15411434.0,
+      "step": 8455
+    },
+    {
+      "entropy": 5.271618843078613,
+      "epoch": 7.009113504556752,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0001577922295198803,
+      "loss": 4.4939,
+      "mean_token_accuracy": 0.2291717991232872,
+      "num_tokens": 15419905.0,
+      "step": 8460
+    },
+    {
+      "entropy": 5.211508417129517,
+      "epoch": 7.013256006628003,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00015751957354659206,
+      "loss": 4.5173,
+      "mean_token_accuracy": 0.22768738716840745,
+      "num_tokens": 15429200.0,
+      "step": 8465
+    },
+    {
+      "entropy": 5.230689239501953,
+      "epoch": 7.017398508699254,
+      "grad_norm": 1.7734375,
+      "learning_rate": 0.00015724715454416206,
+      "loss": 4.5014,
+      "mean_token_accuracy": 0.23492475599050522,
+      "num_tokens": 15439328.0,
+      "step": 8470
+    },
+    {
+      "entropy": 5.239945983886718,
+      "epoch": 7.021541010770505,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00015697497306208926,
+      "loss": 4.449,
+      "mean_token_accuracy": 0.23373402953147887,
+      "num_tokens": 15447739.0,
+      "step": 8475
+    },
+    {
+      "entropy": 5.2335375308990475,
+      "epoch": 7.0256835128417565,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001567030296493934,
+      "loss": 4.4117,
+      "mean_token_accuracy": 0.2391123041510582,
+      "num_tokens": 15456598.0,
+      "step": 8480
+    },
+    {
+      "entropy": 5.264567565917969,
+      "epoch": 7.029826014913008,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00015643132485461395,
+      "loss": 4.5407,
+      "mean_token_accuracy": 0.22584614008665085,
+      "num_tokens": 15466633.0,
+      "step": 8485
+    },
+    {
+      "entropy": 5.269935941696167,
+      "epoch": 7.033968516984259,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.0001561598592258094,
+      "loss": 4.4839,
+      "mean_token_accuracy": 0.23932840377092363,
+      "num_tokens": 15476809.0,
+      "step": 8490
+    },
+    {
+      "entropy": 5.200196313858032,
+      "epoch": 7.03811101905551,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00015588863331055541,
+      "loss": 4.4345,
+      "mean_token_accuracy": 0.22763314247131347,
+      "num_tokens": 15484964.0,
+      "step": 8495
+    },
+    {
+      "entropy": 5.208463573455811,
+      "epoch": 7.042253521126761,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.0001556176476559444,
+      "loss": 4.4668,
+      "mean_token_accuracy": 0.2335176944732666,
+      "num_tokens": 15493600.0,
+      "step": 8500
+    },
+    {
+      "epoch": 7.042253521126761,
+      "eval_entropy": 5.129485646798921,
+      "eval_loss": 5.728693962097168,
+      "eval_mean_token_accuracy": 0.16830202490726767,
+      "eval_num_tokens": 15493600.0,
+      "eval_runtime": 2.7433,
+      "eval_samples_per_second": 1365.87,
+      "eval_steps_per_second": 170.962,
+      "step": 8500
+    },
+    {
+      "entropy": 5.164541816711425,
+      "epoch": 7.046396023198011,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00015534690280858405,
+      "loss": 4.4339,
+      "mean_token_accuracy": 0.23090869933366776,
+      "num_tokens": 15502614.0,
+      "step": 8505
+    },
+    {
+      "entropy": 5.342812156677246,
+      "epoch": 7.050538525269262,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00015507639931459615,
+      "loss": 4.5456,
+      "mean_token_accuracy": 0.23020666539669038,
+      "num_tokens": 15511521.0,
+      "step": 8510
+    },
+    {
+      "entropy": 5.217349433898926,
+      "epoch": 7.054681027340513,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000154806137719616,
+      "loss": 4.4838,
+      "mean_token_accuracy": 0.22951803505420684,
+      "num_tokens": 15520220.0,
+      "step": 8515
+    },
+    {
+      "entropy": 5.209629344940185,
+      "epoch": 7.0588235294117645,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001545361185687906,
+      "loss": 4.431,
+      "mean_token_accuracy": 0.2416904717683792,
+      "num_tokens": 15528924.0,
+      "step": 8520
+    },
+    {
+      "entropy": 5.182469224929809,
+      "epoch": 7.062966031483016,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00015426634240677824,
+      "loss": 4.4263,
+      "mean_token_accuracy": 0.23380360007286072,
+      "num_tokens": 15539722.0,
+      "step": 8525
+    },
+    {
+      "entropy": 5.2457551002502445,
+      "epoch": 7.067108533554267,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00015399680977774689,
+      "loss": 4.501,
+      "mean_token_accuracy": 0.2327603965997696,
+      "num_tokens": 15548682.0,
+      "step": 8530
+    },
+    {
+      "entropy": 5.270536422729492,
+      "epoch": 7.071251035625518,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00015372752122537318,
+      "loss": 4.4816,
+      "mean_token_accuracy": 0.23249582201242447,
+      "num_tokens": 15557508.0,
+      "step": 8535
+    },
+    {
+      "entropy": 5.2048643112182615,
+      "epoch": 7.075393537696769,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00015345847729284168,
+      "loss": 4.5156,
+      "mean_token_accuracy": 0.23168871104717254,
+      "num_tokens": 15566120.0,
+      "step": 8540
+    },
+    {
+      "entropy": 5.203616809844971,
+      "epoch": 7.07953603976802,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00015318967852284335,
+      "loss": 4.4143,
+      "mean_token_accuracy": 0.24245947301387788,
+      "num_tokens": 15575166.0,
+      "step": 8545
+    },
+    {
+      "entropy": 5.213142776489258,
+      "epoch": 7.083678541839271,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00015292112545757476,
+      "loss": 4.4618,
+      "mean_token_accuracy": 0.22540973722934723,
+      "num_tokens": 15585063.0,
+      "step": 8550
+    },
+    {
+      "entropy": 5.212160682678222,
+      "epoch": 7.087821043910522,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00015265281863873663,
+      "loss": 4.4774,
+      "mean_token_accuracy": 0.23299887031316757,
+      "num_tokens": 15594386.0,
+      "step": 8555
+    },
+    {
+      "entropy": 5.2236042499542235,
+      "epoch": 7.091963545981773,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00015238475860753338,
+      "loss": 4.5,
+      "mean_token_accuracy": 0.22962148636579513,
+      "num_tokens": 15603796.0,
+      "step": 8560
+    },
+    {
+      "entropy": 5.24848952293396,
+      "epoch": 7.096106048053024,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00015211694590467118,
+      "loss": 4.4305,
+      "mean_token_accuracy": 0.24062979519367217,
+      "num_tokens": 15612752.0,
+      "step": 8565
+    },
+    {
+      "entropy": 5.247216987609863,
+      "epoch": 7.100248550124275,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0001518493810703575,
+      "loss": 4.5228,
+      "mean_token_accuracy": 0.22897974401712418,
+      "num_tokens": 15621995.0,
+      "step": 8570
+    },
+    {
+      "entropy": 5.2101912021636965,
+      "epoch": 7.104391052195526,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00015158206464430002,
+      "loss": 4.4774,
+      "mean_token_accuracy": 0.2337987780570984,
+      "num_tokens": 15630390.0,
+      "step": 8575
+    },
+    {
+      "entropy": 5.154296445846557,
+      "epoch": 7.108533554266777,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000151314997165705,
+      "loss": 4.4282,
+      "mean_token_accuracy": 0.2341099962592125,
+      "num_tokens": 15639723.0,
+      "step": 8580
+    },
+    {
+      "entropy": 5.143678855895996,
+      "epoch": 7.112676056338028,
+      "grad_norm": 1.5625,
+      "learning_rate": 0.00015104817917327694,
+      "loss": 4.3389,
+      "mean_token_accuracy": 0.25343778878450396,
+      "num_tokens": 15647755.0,
+      "step": 8585
+    },
+    {
+      "entropy": 5.213784980773926,
+      "epoch": 7.116818558409279,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00015078161120521676,
+      "loss": 4.489,
+      "mean_token_accuracy": 0.24025783091783523,
+      "num_tokens": 15656949.0,
+      "step": 8590
+    },
+    {
+      "entropy": 5.183463621139526,
+      "epoch": 7.12096106048053,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001505152937992211,
+      "loss": 4.4389,
+      "mean_token_accuracy": 0.23687577545642852,
+      "num_tokens": 15666290.0,
+      "step": 8595
+    },
+    {
+      "entropy": 5.265416860580444,
+      "epoch": 7.125103562551781,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00015024922749248143,
+      "loss": 4.4796,
+      "mean_token_accuracy": 0.23623479157686234,
+      "num_tokens": 15675728.0,
+      "step": 8600
+    },
+    {
+      "entropy": 5.224102210998535,
+      "epoch": 7.1292460646230325,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00014998341282168243,
+      "loss": 4.4247,
+      "mean_token_accuracy": 0.24638550877571105,
+      "num_tokens": 15684519.0,
+      "step": 8605
+    },
+    {
+      "entropy": 5.225100469589234,
+      "epoch": 7.133388566694284,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0001497178503230015,
+      "loss": 4.5214,
+      "mean_token_accuracy": 0.2323624387383461,
+      "num_tokens": 15693813.0,
+      "step": 8610
+    },
+    {
+      "entropy": 5.2346985816955565,
+      "epoch": 7.137531068765535,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00014945254053210712,
+      "loss": 4.4972,
+      "mean_token_accuracy": 0.23152748346328736,
+      "num_tokens": 15702245.0,
+      "step": 8615
+    },
+    {
+      "entropy": 5.260819959640503,
+      "epoch": 7.141673570836786,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00014918748398415801,
+      "loss": 4.5132,
+      "mean_token_accuracy": 0.22982551604509355,
+      "num_tokens": 15712246.0,
+      "step": 8620
+    },
+    {
+      "entropy": 5.199164581298828,
+      "epoch": 7.145816072908037,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00014892268121380244,
+      "loss": 4.453,
+      "mean_token_accuracy": 0.23305327594280242,
+      "num_tokens": 15720904.0,
+      "step": 8625
+    },
+    {
+      "entropy": 5.201052474975586,
+      "epoch": 7.149958574979287,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00014865813275517637,
+      "loss": 4.4464,
+      "mean_token_accuracy": 0.24035904705524444,
+      "num_tokens": 15730595.0,
+      "step": 8630
+    },
+    {
+      "entropy": 5.160213327407837,
+      "epoch": 7.154101077050538,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00014839383914190302,
+      "loss": 4.4113,
+      "mean_token_accuracy": 0.2371663734316826,
+      "num_tokens": 15739475.0,
+      "step": 8635
+    },
+    {
+      "entropy": 5.202706527709961,
+      "epoch": 7.158243579121789,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001481298009070915,
+      "loss": 4.4357,
+      "mean_token_accuracy": 0.2400374785065651,
+      "num_tokens": 15748672.0,
+      "step": 8640
+    },
+    {
+      "entropy": 5.255636262893677,
+      "epoch": 7.16238608119304,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00014786601858333566,
+      "loss": 4.4665,
+      "mean_token_accuracy": 0.2322999894618988,
+      "num_tokens": 15757540.0,
+      "step": 8645
+    },
+    {
+      "entropy": 5.19217586517334,
+      "epoch": 7.1665285832642915,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00014760249270271341,
+      "loss": 4.4882,
+      "mean_token_accuracy": 0.23090190291404725,
+      "num_tokens": 15767198.0,
+      "step": 8650
+    },
+    {
+      "entropy": 5.181815910339355,
+      "epoch": 7.170671085335543,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00014733922379678513,
+      "loss": 4.444,
+      "mean_token_accuracy": 0.2331250548362732,
+      "num_tokens": 15776818.0,
+      "step": 8655
+    },
+    {
+      "entropy": 5.310377168655395,
+      "epoch": 7.174813587406794,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00014707621239659312,
+      "loss": 4.5959,
+      "mean_token_accuracy": 0.22294886857271196,
+      "num_tokens": 15786054.0,
+      "step": 8660
+    },
+    {
+      "entropy": 5.248941802978516,
+      "epoch": 7.178956089478045,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001468134590326601,
+      "loss": 4.5396,
+      "mean_token_accuracy": 0.22474610805511475,
+      "num_tokens": 15795367.0,
+      "step": 8665
+    },
+    {
+      "entropy": 5.275604391098023,
+      "epoch": 7.183098591549296,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001465509642349881,
+      "loss": 4.521,
+      "mean_token_accuracy": 0.22873310893774032,
+      "num_tokens": 15805006.0,
+      "step": 8670
+    },
+    {
+      "entropy": 5.279868030548096,
+      "epoch": 7.187241093620547,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00014628872853305808,
+      "loss": 4.5661,
+      "mean_token_accuracy": 0.21865685284137726,
+      "num_tokens": 15813978.0,
+      "step": 8675
+    },
+    {
+      "entropy": 5.2523754119873045,
+      "epoch": 7.191383595691798,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00014602675245582795,
+      "loss": 4.5336,
+      "mean_token_accuracy": 0.23225435018539428,
+      "num_tokens": 15824156.0,
+      "step": 8680
+    },
+    {
+      "entropy": 5.277890396118164,
+      "epoch": 7.195526097763049,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00014576503653173219,
+      "loss": 4.5739,
+      "mean_token_accuracy": 0.22429476380348207,
+      "num_tokens": 15833514.0,
+      "step": 8685
+    },
+    {
+      "entropy": 5.269798374176025,
+      "epoch": 7.1996685998342995,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00014550358128868036,
+      "loss": 4.5337,
+      "mean_token_accuracy": 0.2327092170715332,
+      "num_tokens": 15842047.0,
+      "step": 8690
+    },
+    {
+      "entropy": 5.283967399597168,
+      "epoch": 7.203811101905551,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00014524238725405615,
+      "loss": 4.5696,
+      "mean_token_accuracy": 0.230625981092453,
+      "num_tokens": 15851916.0,
+      "step": 8695
+    },
+    {
+      "entropy": 5.251355886459351,
+      "epoch": 7.207953603976802,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00014498145495471664,
+      "loss": 4.4735,
+      "mean_token_accuracy": 0.23564820736646652,
+      "num_tokens": 15860776.0,
+      "step": 8700
+    },
+    {
+      "entropy": 5.227689504623413,
+      "epoch": 7.212096106048053,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00014472078491699076,
+      "loss": 4.5561,
+      "mean_token_accuracy": 0.22959548383951187,
+      "num_tokens": 15870272.0,
+      "step": 8705
+    },
+    {
+      "entropy": 5.2320441722869875,
+      "epoch": 7.216238608119304,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0001444603776666784,
+      "loss": 4.4616,
+      "mean_token_accuracy": 0.23800074458122253,
+      "num_tokens": 15879448.0,
+      "step": 8710
+    },
+    {
+      "entropy": 5.309765768051148,
+      "epoch": 7.220381110190555,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00014420023372904944,
+      "loss": 4.5565,
+      "mean_token_accuracy": 0.22581303268671035,
+      "num_tokens": 15888806.0,
+      "step": 8715
+    },
+    {
+      "entropy": 5.223542404174805,
+      "epoch": 7.224523612261806,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00014394035362884274,
+      "loss": 4.5296,
+      "mean_token_accuracy": 0.23095161318778992,
+      "num_tokens": 15898443.0,
+      "step": 8720
+    },
+    {
+      "entropy": 5.220206260681152,
+      "epoch": 7.228666114333057,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00014368073789026482,
+      "loss": 4.4329,
+      "mean_token_accuracy": 0.2360845535993576,
+      "num_tokens": 15907759.0,
+      "step": 8725
+    },
+    {
+      "entropy": 5.230159711837769,
+      "epoch": 7.232808616404308,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00014342138703698882,
+      "loss": 4.4162,
+      "mean_token_accuracy": 0.24004922807216644,
+      "num_tokens": 15916687.0,
+      "step": 8730
+    },
+    {
+      "entropy": 5.2235363006591795,
+      "epoch": 7.2369511184755595,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.000143162301592154,
+      "loss": 4.48,
+      "mean_token_accuracy": 0.23941969871520996,
+      "num_tokens": 15925422.0,
+      "step": 8735
+    },
+    {
+      "entropy": 5.1952455043792725,
+      "epoch": 7.241093620546811,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00014290348207836385,
+      "loss": 4.4895,
+      "mean_token_accuracy": 0.2233983114361763,
+      "num_tokens": 15934279.0,
+      "step": 8740
+    },
+    {
+      "entropy": 5.200940227508545,
+      "epoch": 7.245236122618062,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001426449290176857,
+      "loss": 4.4485,
+      "mean_token_accuracy": 0.24146829843521117,
+      "num_tokens": 15943565.0,
+      "step": 8745
+    },
+    {
+      "entropy": 5.166256427764893,
+      "epoch": 7.249378624689312,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00014238664293164934,
+      "loss": 4.4391,
+      "mean_token_accuracy": 0.24021793454885482,
+      "num_tokens": 15952360.0,
+      "step": 8750
+    },
+    {
+      "entropy": 5.23963360786438,
+      "epoch": 7.253521126760563,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0001421286243412459,
+      "loss": 4.4776,
+      "mean_token_accuracy": 0.22992977499961853,
+      "num_tokens": 15960715.0,
+      "step": 8755
+    },
+    {
+      "entropy": 5.244385242462158,
+      "epoch": 7.257663628831814,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00014187087376692724,
+      "loss": 4.5058,
+      "mean_token_accuracy": 0.23199538439512252,
+      "num_tokens": 15969543.0,
+      "step": 8760
+    },
+    {
+      "entropy": 5.147299814224243,
+      "epoch": 7.261806130903065,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001416133917286043,
+      "loss": 4.4457,
+      "mean_token_accuracy": 0.23225277662277222,
+      "num_tokens": 15978256.0,
+      "step": 8765
+    },
+    {
+      "entropy": 5.203030776977539,
+      "epoch": 7.265948632974316,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001413561787456466,
+      "loss": 4.4327,
+      "mean_token_accuracy": 0.23831526637077333,
+      "num_tokens": 15987646.0,
+      "step": 8770
+    },
+    {
+      "entropy": 5.234354543685913,
+      "epoch": 7.2700911350455675,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00014109923533688068,
+      "loss": 4.4492,
+      "mean_token_accuracy": 0.23111054450273513,
+      "num_tokens": 15996767.0,
+      "step": 8775
+    },
+    {
+      "entropy": 5.211431694030762,
+      "epoch": 7.274233637116819,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0001408425620205897,
+      "loss": 4.4718,
+      "mean_token_accuracy": 0.23208508044481277,
+      "num_tokens": 16007170.0,
+      "step": 8780
+    },
+    {
+      "entropy": 5.255538749694824,
+      "epoch": 7.27837613918807,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001405861593145116,
+      "loss": 4.4987,
+      "mean_token_accuracy": 0.22857699245214463,
+      "num_tokens": 16015354.0,
+      "step": 8785
+    },
+    {
+      "entropy": 5.275969696044922,
+      "epoch": 7.282518641259321,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00014033002773583872,
+      "loss": 4.4955,
+      "mean_token_accuracy": 0.22325098514556885,
+      "num_tokens": 16024600.0,
+      "step": 8790
+    },
+    {
+      "entropy": 5.268600225448608,
+      "epoch": 7.286661143330572,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001400741678012164,
+      "loss": 4.4813,
+      "mean_token_accuracy": 0.2368546172976494,
+      "num_tokens": 16033301.0,
+      "step": 8795
+    },
+    {
+      "entropy": 5.252548122406006,
+      "epoch": 7.290803645401823,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00013981858002674223,
+      "loss": 4.5322,
+      "mean_token_accuracy": 0.22765524685382843,
+      "num_tokens": 16043539.0,
+      "step": 8800
+    },
+    {
+      "entropy": 5.284696912765503,
+      "epoch": 7.294946147473074,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001395632649279645,
+      "loss": 4.5687,
+      "mean_token_accuracy": 0.22771918177604675,
+      "num_tokens": 16052861.0,
+      "step": 8805
+    },
+    {
+      "entropy": 5.268942785263062,
+      "epoch": 7.299088649544325,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00013930822301988177,
+      "loss": 4.4622,
+      "mean_token_accuracy": 0.23665641099214554,
+      "num_tokens": 16062454.0,
+      "step": 8810
+    },
+    {
+      "entropy": 5.201201915740967,
+      "epoch": 7.3032311516155755,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00013905345481694147,
+      "loss": 4.4705,
+      "mean_token_accuracy": 0.2322714164853096,
+      "num_tokens": 16071432.0,
+      "step": 8815
+    },
+    {
+      "entropy": 5.172683620452881,
+      "epoch": 7.307373653686827,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001387989608330388,
+      "loss": 4.4437,
+      "mean_token_accuracy": 0.23548867851495742,
+      "num_tokens": 16080411.0,
+      "step": 8820
+    },
+    {
+      "entropy": 5.220728492736816,
+      "epoch": 7.311516155758078,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013854474158151602,
+      "loss": 4.486,
+      "mean_token_accuracy": 0.22679401338100433,
+      "num_tokens": 16089396.0,
+      "step": 8825
+    },
+    {
+      "entropy": 5.26025390625,
+      "epoch": 7.315658657829329,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00013829079757516106,
+      "loss": 4.5679,
+      "mean_token_accuracy": 0.224435892701149,
+      "num_tokens": 16099308.0,
+      "step": 8830
+    },
+    {
+      "entropy": 5.22006459236145,
+      "epoch": 7.31980115990058,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013803712932620681,
+      "loss": 4.5028,
+      "mean_token_accuracy": 0.22673140466213226,
+      "num_tokens": 16109336.0,
+      "step": 8835
+    },
+    {
+      "entropy": 5.267045164108277,
+      "epoch": 7.323943661971831,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001377837373463298,
+      "loss": 4.4931,
+      "mean_token_accuracy": 0.2302021786570549,
+      "num_tokens": 16118483.0,
+      "step": 8840
+    },
+    {
+      "entropy": 5.240559911727905,
+      "epoch": 7.328086164043082,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0001375306221466494,
+      "loss": 4.4713,
+      "mean_token_accuracy": 0.22934858202934266,
+      "num_tokens": 16127302.0,
+      "step": 8845
+    },
+    {
+      "entropy": 5.200973415374756,
+      "epoch": 7.332228666114333,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00013727778423772654,
+      "loss": 4.5353,
+      "mean_token_accuracy": 0.22502323240041733,
+      "num_tokens": 16136361.0,
+      "step": 8850
+    },
+    {
+      "entropy": 5.302484941482544,
+      "epoch": 7.336371168185584,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00013702522412956304,
+      "loss": 4.5868,
+      "mean_token_accuracy": 0.22618300914764405,
+      "num_tokens": 16146071.0,
+      "step": 8855
+    },
+    {
+      "entropy": 5.299910354614258,
+      "epoch": 7.340513670256835,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00013677294233160016,
+      "loss": 4.5189,
+      "mean_token_accuracy": 0.22607939094305038,
+      "num_tokens": 16154606.0,
+      "step": 8860
+    },
+    {
+      "entropy": 5.193687105178833,
+      "epoch": 7.3446561723280865,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013652093935271776,
+      "loss": 4.4767,
+      "mean_token_accuracy": 0.24149058610200883,
+      "num_tokens": 16163648.0,
+      "step": 8865
+    },
+    {
+      "entropy": 5.282410192489624,
+      "epoch": 7.348798674399337,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013626921570123357,
+      "loss": 4.5431,
+      "mean_token_accuracy": 0.22477766126394272,
+      "num_tokens": 16172693.0,
+      "step": 8870
+    },
+    {
+      "entropy": 5.204723453521728,
+      "epoch": 7.352941176470588,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00013601777188490156,
+      "loss": 4.4384,
+      "mean_token_accuracy": 0.23236895948648453,
+      "num_tokens": 16181689.0,
+      "step": 8875
+    },
+    {
+      "entropy": 5.202375221252441,
+      "epoch": 7.357083678541839,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0001357666084109115,
+      "loss": 4.5693,
+      "mean_token_accuracy": 0.22547451853752137,
+      "num_tokens": 16191254.0,
+      "step": 8880
+    },
+    {
+      "entropy": 5.271569538116455,
+      "epoch": 7.36122618061309,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001355157257858875,
+      "loss": 4.4698,
+      "mean_token_accuracy": 0.23402072489261627,
+      "num_tokens": 16199613.0,
+      "step": 8885
+    },
+    {
+      "entropy": 5.213530111312866,
+      "epoch": 7.365368682684341,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013526512451588718,
+      "loss": 4.4584,
+      "mean_token_accuracy": 0.23570594042539597,
+      "num_tokens": 16208345.0,
+      "step": 8890
+    },
+    {
+      "entropy": 5.259526348114013,
+      "epoch": 7.369511184755592,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0001350148051064008,
+      "loss": 4.5219,
+      "mean_token_accuracy": 0.23035535961389542,
+      "num_tokens": 16217964.0,
+      "step": 8895
+    },
+    {
+      "entropy": 5.259307479858398,
+      "epoch": 7.373653686826843,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00013476476806234983,
+      "loss": 4.5768,
+      "mean_token_accuracy": 0.2261824905872345,
+      "num_tokens": 16227140.0,
+      "step": 8900
+    },
+    {
+      "entropy": 5.320018339157104,
+      "epoch": 7.3777961888980945,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0001345150138880865,
+      "loss": 4.5291,
+      "mean_token_accuracy": 0.22605375498533248,
+      "num_tokens": 16237416.0,
+      "step": 8905
+    },
+    {
+      "entropy": 5.313902473449707,
+      "epoch": 7.381938690969346,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00013426554308739214,
+      "loss": 4.5596,
+      "mean_token_accuracy": 0.2251575157046318,
+      "num_tokens": 16246682.0,
+      "step": 8910
+    },
+    {
+      "entropy": 5.246820068359375,
+      "epoch": 7.386081193040597,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00013401635616347655,
+      "loss": 4.5364,
+      "mean_token_accuracy": 0.2272168666124344,
+      "num_tokens": 16255450.0,
+      "step": 8915
+    },
+    {
+      "entropy": 5.129112625122071,
+      "epoch": 7.390223695111848,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013376745361897712,
+      "loss": 4.4317,
+      "mean_token_accuracy": 0.24068772196769714,
+      "num_tokens": 16265014.0,
+      "step": 8920
+    },
+    {
+      "entropy": 5.284948348999023,
+      "epoch": 7.394366197183099,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00013351883595595743,
+      "loss": 4.5167,
+      "mean_token_accuracy": 0.23356657475233078,
+      "num_tokens": 16273309.0,
+      "step": 8925
+    },
+    {
+      "entropy": 5.225611877441406,
+      "epoch": 7.39850869925435,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001332705036759065,
+      "loss": 4.4788,
+      "mean_token_accuracy": 0.22821299731731415,
+      "num_tokens": 16282129.0,
+      "step": 8930
+    },
+    {
+      "entropy": 5.155527019500733,
+      "epoch": 7.4026512013256,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0001330224572797377,
+      "loss": 4.4512,
+      "mean_token_accuracy": 0.2339691624045372,
+      "num_tokens": 16291208.0,
+      "step": 8935
+    },
+    {
+      "entropy": 5.221278285980224,
+      "epoch": 7.406793703396851,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00013277469726778756,
+      "loss": 4.4484,
+      "mean_token_accuracy": 0.2374333918094635,
+      "num_tokens": 16300111.0,
+      "step": 8940
+    },
+    {
+      "entropy": 5.253650236129761,
+      "epoch": 7.4109362054681025,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001325272241398153,
+      "loss": 4.4236,
+      "mean_token_accuracy": 0.24237828254699706,
+      "num_tokens": 16308653.0,
+      "step": 8945
+    },
+    {
+      "entropy": 5.303265380859375,
+      "epoch": 7.415078707539354,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013228003839500113,
+      "loss": 4.5048,
+      "mean_token_accuracy": 0.23030605614185334,
+      "num_tokens": 16317986.0,
+      "step": 8950
+    },
+    {
+      "entropy": 5.250785398483276,
+      "epoch": 7.419221209610605,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001320331405319458,
+      "loss": 4.4978,
+      "mean_token_accuracy": 0.23015536218881608,
+      "num_tokens": 16326889.0,
+      "step": 8955
+    },
+    {
+      "entropy": 5.175545310974121,
+      "epoch": 7.423363711681856,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013178653104866926,
+      "loss": 4.5135,
+      "mean_token_accuracy": 0.2249376356601715,
+      "num_tokens": 16336121.0,
+      "step": 8960
+    },
+    {
+      "entropy": 5.223824167251587,
+      "epoch": 7.427506213753107,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.00013154021044260966,
+      "loss": 4.5654,
+      "mean_token_accuracy": 0.22634392529726027,
+      "num_tokens": 16345216.0,
+      "step": 8965
+    },
+    {
+      "entropy": 5.167584037780761,
+      "epoch": 7.431648715824358,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00013129417921062275,
+      "loss": 4.4047,
+      "mean_token_accuracy": 0.24216125905513763,
+      "num_tokens": 16353735.0,
+      "step": 8970
+    },
+    {
+      "entropy": 5.213489151000976,
+      "epoch": 7.435791217895609,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001310484378489803,
+      "loss": 4.4363,
+      "mean_token_accuracy": 0.23906279355287552,
+      "num_tokens": 16362474.0,
+      "step": 8975
+    },
+    {
+      "entropy": 5.264641571044922,
+      "epoch": 7.43993371996686,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013080298685336957,
+      "loss": 4.5711,
+      "mean_token_accuracy": 0.22207222431898116,
+      "num_tokens": 16371948.0,
+      "step": 8980
+    },
+    {
+      "entropy": 5.193941831588745,
+      "epoch": 7.444076222038111,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00013055782671889205,
+      "loss": 4.4657,
+      "mean_token_accuracy": 0.23412289023399352,
+      "num_tokens": 16380849.0,
+      "step": 8985
+    },
+    {
+      "entropy": 5.256904029846192,
+      "epoch": 7.448218724109362,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0001303129579400624,
+      "loss": 4.5758,
+      "mean_token_accuracy": 0.21966907531023025,
+      "num_tokens": 16389495.0,
+      "step": 8990
+    },
+    {
+      "entropy": 5.242080307006836,
+      "epoch": 7.452361226180613,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001300683810108078,
+      "loss": 4.44,
+      "mean_token_accuracy": 0.23775164783000946,
+      "num_tokens": 16397744.0,
+      "step": 8995
+    },
+    {
+      "entropy": 5.198620891571045,
+      "epoch": 7.456503728251864,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0001298240964244666,
+      "loss": 4.4774,
+      "mean_token_accuracy": 0.22778769880533217,
+      "num_tokens": 16406785.0,
+      "step": 9000
+    },
+    {
+      "epoch": 7.456503728251864,
+      "eval_entropy": 5.137435206472238,
+      "eval_loss": 5.726848125457764,
+      "eval_mean_token_accuracy": 0.16911925307151351,
+      "eval_num_tokens": 16406785.0,
+      "eval_runtime": 2.7388,
+      "eval_samples_per_second": 1368.12,
+      "eval_steps_per_second": 171.243,
+      "step": 9000
+    },
+    {
+      "entropy": 5.236600065231324,
+      "epoch": 7.460646230323115,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001295801046737876,
+      "loss": 4.5195,
+      "mean_token_accuracy": 0.23866655230522155,
+      "num_tokens": 16415768.0,
+      "step": 9005
+    },
+    {
+      "entropy": 5.189950561523437,
+      "epoch": 7.464788732394366,
+      "grad_norm": 1.53125,
+      "learning_rate": 0.00012933640625092867,
+      "loss": 4.4701,
+      "mean_token_accuracy": 0.2334812819957733,
+      "num_tokens": 16424722.0,
+      "step": 9010
+    },
+    {
+      "entropy": 5.206139373779297,
+      "epoch": 7.468931234465617,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00012909300164745636,
+      "loss": 4.4532,
+      "mean_token_accuracy": 0.24083833396434784,
+      "num_tokens": 16433797.0,
+      "step": 9015
+    },
+    {
+      "entropy": 5.195779943466187,
+      "epoch": 7.473073736536868,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00012884989135434423,
+      "loss": 4.4113,
+      "mean_token_accuracy": 0.23783705085515977,
+      "num_tokens": 16442537.0,
+      "step": 9020
+    },
+    {
+      "entropy": 5.241878795623779,
+      "epoch": 7.477216238608119,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00012860707586197218,
+      "loss": 4.5289,
+      "mean_token_accuracy": 0.23057866245508193,
+      "num_tokens": 16451440.0,
+      "step": 9025
+    },
+    {
+      "entropy": 5.202231788635254,
+      "epoch": 7.4813587406793705,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00012836455566012586,
+      "loss": 4.5065,
+      "mean_token_accuracy": 0.22772400230169296,
+      "num_tokens": 16459358.0,
+      "step": 9030
+    },
+    {
+      "entropy": 5.1701904296875,
+      "epoch": 7.485501242750622,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00012812233123799481,
+      "loss": 4.3761,
+      "mean_token_accuracy": 0.24460603147745133,
+      "num_tokens": 16467584.0,
+      "step": 9035
+    },
+    {
+      "entropy": 5.232595682144165,
+      "epoch": 7.489643744821873,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00012788040308417232,
+      "loss": 4.5119,
+      "mean_token_accuracy": 0.22690969109535217,
+      "num_tokens": 16476674.0,
+      "step": 9040
+    },
+    {
+      "entropy": 5.18615756034851,
+      "epoch": 7.493786246893124,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00012763877168665383,
+      "loss": 4.3977,
+      "mean_token_accuracy": 0.23276474177837372,
+      "num_tokens": 16485422.0,
+      "step": 9045
+    },
+    {
+      "entropy": 5.259172058105468,
+      "epoch": 7.497928748964375,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00012739743753283617,
+      "loss": 4.594,
+      "mean_token_accuracy": 0.23090241551399232,
+      "num_tokens": 16494024.0,
+      "step": 9050
+    },
+    {
+      "entropy": 5.212364196777344,
+      "epoch": 7.502071251035625,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001271564011095169,
+      "loss": 4.567,
+      "mean_token_accuracy": 0.22396907359361648,
+      "num_tokens": 16503805.0,
+      "step": 9055
+    },
+    {
+      "entropy": 5.238067293167115,
+      "epoch": 7.506213753106876,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001269156629028927,
+      "loss": 4.5034,
+      "mean_token_accuracy": 0.22764867544174194,
+      "num_tokens": 16512559.0,
+      "step": 9060
+    },
+    {
+      "entropy": 5.283909463882447,
+      "epoch": 7.510356255178127,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.0001266752233985589,
+      "loss": 4.5421,
+      "mean_token_accuracy": 0.22903914898633956,
+      "num_tokens": 16521910.0,
+      "step": 9065
+    },
+    {
+      "entropy": 5.228765964508057,
+      "epoch": 7.514498757249378,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00012643508308150822,
+      "loss": 4.481,
+      "mean_token_accuracy": 0.23210673332214354,
+      "num_tokens": 16530802.0,
+      "step": 9070
+    },
+    {
+      "entropy": 5.175292682647705,
+      "epoch": 7.5186412593206295,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001261952424361299,
+      "loss": 4.4682,
+      "mean_token_accuracy": 0.2365036979317665,
+      "num_tokens": 16540519.0,
+      "step": 9075
+    },
+    {
+      "entropy": 5.187702560424805,
+      "epoch": 7.522783761391881,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0001259557019462088,
+      "loss": 4.4624,
+      "mean_token_accuracy": 0.22708640843629838,
+      "num_tokens": 16549433.0,
+      "step": 9080
+    },
+    {
+      "entropy": 5.2191469192504885,
+      "epoch": 7.526926263463132,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00012571646209492417,
+      "loss": 4.5106,
+      "mean_token_accuracy": 0.2241887181997299,
+      "num_tokens": 16558128.0,
+      "step": 9085
+    },
+    {
+      "entropy": 5.1911474704742435,
+      "epoch": 7.531068765534383,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00012547752336484908,
+      "loss": 4.4329,
+      "mean_token_accuracy": 0.2339310199022293,
+      "num_tokens": 16566636.0,
+      "step": 9090
+    },
+    {
+      "entropy": 5.222174024581909,
+      "epoch": 7.535211267605634,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00012523888623794892,
+      "loss": 4.4508,
+      "mean_token_accuracy": 0.22641565501689911,
+      "num_tokens": 16575036.0,
+      "step": 9095
+    },
+    {
+      "entropy": 5.18636269569397,
+      "epoch": 7.539353769676885,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.0001250005511955809,
+      "loss": 4.4813,
+      "mean_token_accuracy": 0.23633484840393065,
+      "num_tokens": 16584146.0,
+      "step": 9100
+    },
+    {
+      "entropy": 5.267010164260864,
+      "epoch": 7.543496271748136,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001247625187184929,
+      "loss": 4.5566,
+      "mean_token_accuracy": 0.23071260899305343,
+      "num_tokens": 16593915.0,
+      "step": 9105
+    },
+    {
+      "entropy": 5.261574983596802,
+      "epoch": 7.547638773819386,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.0001245247892868223,
+      "loss": 4.4222,
+      "mean_token_accuracy": 0.24024491608142853,
+      "num_tokens": 16601490.0,
+      "step": 9110
+    },
+    {
+      "entropy": 5.231517314910889,
+      "epoch": 7.551781275890638,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0001242873633800955,
+      "loss": 4.5248,
+      "mean_token_accuracy": 0.22314041405916213,
+      "num_tokens": 16610972.0,
+      "step": 9115
+    },
+    {
+      "entropy": 5.2491841316223145,
+      "epoch": 7.555923777961889,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00012405024147722643,
+      "loss": 4.4864,
+      "mean_token_accuracy": 0.22206981778144835,
+      "num_tokens": 16619388.0,
+      "step": 9120
+    },
+    {
+      "entropy": 5.113521718978882,
+      "epoch": 7.56006628003314,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001238134240565158,
+      "loss": 4.4453,
+      "mean_token_accuracy": 0.23808686733245848,
+      "num_tokens": 16628265.0,
+      "step": 9125
+    },
+    {
+      "entropy": 5.1795234203338625,
+      "epoch": 7.564208782104391,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0001235769115956504,
+      "loss": 4.4003,
+      "mean_token_accuracy": 0.24365673661231996,
+      "num_tokens": 16636809.0,
+      "step": 9130
+    },
+    {
+      "entropy": 5.292108011245728,
+      "epoch": 7.568351284175642,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00012334070457170151,
+      "loss": 4.5798,
+      "mean_token_accuracy": 0.22227199971675873,
+      "num_tokens": 16646084.0,
+      "step": 9135
+    },
+    {
+      "entropy": 5.296937656402588,
+      "epoch": 7.572493786246893,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00012310480346112472,
+      "loss": 4.611,
+      "mean_token_accuracy": 0.2216431438922882,
+      "num_tokens": 16656196.0,
+      "step": 9140
+    },
+    {
+      "entropy": 5.209884786605835,
+      "epoch": 7.576636288318144,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00012286920873975815,
+      "loss": 4.5105,
+      "mean_token_accuracy": 0.22829700261354446,
+      "num_tokens": 16665770.0,
+      "step": 9145
+    },
+    {
+      "entropy": 5.213883733749389,
+      "epoch": 7.580778790389395,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00012263392088282226,
+      "loss": 4.4418,
+      "mean_token_accuracy": 0.24046860188245772,
+      "num_tokens": 16674206.0,
+      "step": 9150
+    },
+    {
+      "entropy": 5.187081003189087,
+      "epoch": 7.584921292460646,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00012239894036491833,
+      "loss": 4.4749,
+      "mean_token_accuracy": 0.2309769421815872,
+      "num_tokens": 16683977.0,
+      "step": 9155
+    },
+    {
+      "entropy": 5.184215354919433,
+      "epoch": 7.5890637945318975,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.00012216426766002762,
+      "loss": 4.4464,
+      "mean_token_accuracy": 0.23352074921131133,
+      "num_tokens": 16693117.0,
+      "step": 9160
+    },
+    {
+      "entropy": 5.220042276382446,
+      "epoch": 7.593206296603149,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00012192990324151079,
+      "loss": 4.4633,
+      "mean_token_accuracy": 0.23336823433637618,
+      "num_tokens": 16701631.0,
+      "step": 9165
+    },
+    {
+      "entropy": 5.242423677444458,
+      "epoch": 7.5973487986744,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00012169584758210635,
+      "loss": 4.5412,
+      "mean_token_accuracy": 0.23175331354141235,
+      "num_tokens": 16710337.0,
+      "step": 9170
+    },
+    {
+      "entropy": 5.182403945922852,
+      "epoch": 7.60149130074565,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00012146210115393025,
+      "loss": 4.4635,
+      "mean_token_accuracy": 0.2343884065747261,
+      "num_tokens": 16719046.0,
+      "step": 9175
+    },
+    {
+      "entropy": 5.217220401763916,
+      "epoch": 7.605633802816901,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00012122866442847455,
+      "loss": 4.5145,
+      "mean_token_accuracy": 0.2259568005800247,
+      "num_tokens": 16727860.0,
+      "step": 9180
+    },
+    {
+      "entropy": 5.235024166107178,
+      "epoch": 7.609776304888152,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00012099553787660654,
+      "loss": 4.5803,
+      "mean_token_accuracy": 0.23205377757549286,
+      "num_tokens": 16737839.0,
+      "step": 9185
+    },
+    {
+      "entropy": 5.158119058609008,
+      "epoch": 7.613918806959403,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00012076272196856808,
+      "loss": 4.4573,
+      "mean_token_accuracy": 0.2307577461004257,
+      "num_tokens": 16746171.0,
+      "step": 9190
+    },
+    {
+      "entropy": 5.198251819610595,
+      "epoch": 7.618061309030654,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0001205302171739742,
+      "loss": 4.4448,
+      "mean_token_accuracy": 0.2381545603275299,
+      "num_tokens": 16755236.0,
+      "step": 9195
+    },
+    {
+      "entropy": 5.211521863937378,
+      "epoch": 7.6222038111019055,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00012029802396181256,
+      "loss": 4.4663,
+      "mean_token_accuracy": 0.2303634077310562,
+      "num_tokens": 16764126.0,
+      "step": 9200
+    },
+    {
+      "entropy": 5.242390394210815,
+      "epoch": 7.626346313173157,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00012006614280044225,
+      "loss": 4.5253,
+      "mean_token_accuracy": 0.2375326469540596,
+      "num_tokens": 16772861.0,
+      "step": 9205
+    },
+    {
+      "entropy": 5.234907102584839,
+      "epoch": 7.630488815244408,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00011983457415759274,
+      "loss": 4.5015,
+      "mean_token_accuracy": 0.23732417970895767,
+      "num_tokens": 16782119.0,
+      "step": 9210
+    },
+    {
+      "entropy": 5.261215591430664,
+      "epoch": 7.634631317315659,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.00011960331850036352,
+      "loss": 4.5405,
+      "mean_token_accuracy": 0.22217481583356857,
+      "num_tokens": 16790531.0,
+      "step": 9215
+    },
+    {
+      "entropy": 5.176897668838501,
+      "epoch": 7.63877381938691,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00011937237629522233,
+      "loss": 4.4532,
+      "mean_token_accuracy": 0.23413067758083345,
+      "num_tokens": 16799516.0,
+      "step": 9220
+    },
+    {
+      "entropy": 5.238109970092774,
+      "epoch": 7.642916321458161,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00011914174800800501,
+      "loss": 4.502,
+      "mean_token_accuracy": 0.2298160970211029,
+      "num_tokens": 16807830.0,
+      "step": 9225
+    },
+    {
+      "entropy": 5.269895887374878,
+      "epoch": 7.647058823529412,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00011891143410391387,
+      "loss": 4.565,
+      "mean_token_accuracy": 0.22582002878189086,
+      "num_tokens": 16816987.0,
+      "step": 9230
+    },
+    {
+      "entropy": 5.18939995765686,
+      "epoch": 7.651201325600663,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00011868143504751732,
+      "loss": 4.3949,
+      "mean_token_accuracy": 0.23891554325819014,
+      "num_tokens": 16825723.0,
+      "step": 9235
+    },
+    {
+      "entropy": 5.219127750396728,
+      "epoch": 7.6553438276719135,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00011845175130274848,
+      "loss": 4.5034,
+      "mean_token_accuracy": 0.23103347569704055,
+      "num_tokens": 16835429.0,
+      "step": 9240
+    },
+    {
+      "entropy": 5.194927597045899,
+      "epoch": 7.659486329743165,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011822238333290475,
+      "loss": 4.4327,
+      "mean_token_accuracy": 0.24837690144777297,
+      "num_tokens": 16844693.0,
+      "step": 9245
+    },
+    {
+      "entropy": 5.20636739730835,
+      "epoch": 7.663628831814416,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00011799333160064617,
+      "loss": 4.4855,
+      "mean_token_accuracy": 0.23225704431533814,
+      "num_tokens": 16853058.0,
+      "step": 9250
+    },
+    {
+      "entropy": 5.287894773483276,
+      "epoch": 7.667771333885667,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0001177645965679953,
+      "loss": 4.5412,
+      "mean_token_accuracy": 0.2231143057346344,
+      "num_tokens": 16863017.0,
+      "step": 9255
+    },
+    {
+      "entropy": 5.163079929351807,
+      "epoch": 7.671913835956918,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00011753617869633561,
+      "loss": 4.4049,
+      "mean_token_accuracy": 0.23928526490926744,
+      "num_tokens": 16872054.0,
+      "step": 9260
+    },
+    {
+      "entropy": 5.2851978778839115,
+      "epoch": 7.676056338028169,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00011730807844641085,
+      "loss": 4.5402,
+      "mean_token_accuracy": 0.2318034812808037,
+      "num_tokens": 16881554.0,
+      "step": 9265
+    },
+    {
+      "entropy": 5.190302848815918,
+      "epoch": 7.68019884009942,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00011708029627832431,
+      "loss": 4.5038,
+      "mean_token_accuracy": 0.23283302932977676,
+      "num_tokens": 16890050.0,
+      "step": 9270
+    },
+    {
+      "entropy": 5.259742593765258,
+      "epoch": 7.684341342170671,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00011685283265153732,
+      "loss": 4.4511,
+      "mean_token_accuracy": 0.2353460371494293,
+      "num_tokens": 16899298.0,
+      "step": 9275
+    },
+    {
+      "entropy": 5.3122483253479,
+      "epoch": 7.688483844241922,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00011662568802486905,
+      "loss": 4.5545,
+      "mean_token_accuracy": 0.22228943407535554,
+      "num_tokens": 16908227.0,
+      "step": 9280
+    },
+    {
+      "entropy": 5.272556734085083,
+      "epoch": 7.692626346313173,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00011639886285649489,
+      "loss": 4.5396,
+      "mean_token_accuracy": 0.22207894474267958,
+      "num_tokens": 16917708.0,
+      "step": 9285
+    },
+    {
+      "entropy": 5.160271692276001,
+      "epoch": 7.6967688483844245,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00011617235760394614,
+      "loss": 4.3672,
+      "mean_token_accuracy": 0.25004381984472274,
+      "num_tokens": 16926108.0,
+      "step": 9290
+    },
+    {
+      "entropy": 5.235444402694702,
+      "epoch": 7.700911350455675,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001159461727241085,
+      "loss": 4.4974,
+      "mean_token_accuracy": 0.22936034947633743,
+      "num_tokens": 16935821.0,
+      "step": 9295
+    },
+    {
+      "entropy": 5.198528051376343,
+      "epoch": 7.705053852526927,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001157203086732217,
+      "loss": 4.5459,
+      "mean_token_accuracy": 0.22811468094587325,
+      "num_tokens": 16944899.0,
+      "step": 9300
+    },
+    {
+      "entropy": 5.187997674942016,
+      "epoch": 7.709196354598177,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00011549476590687811,
+      "loss": 4.4804,
+      "mean_token_accuracy": 0.23926871865987778,
+      "num_tokens": 16953745.0,
+      "step": 9305
+    },
+    {
+      "entropy": 5.313058137893677,
+      "epoch": 7.713338856669428,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00011526954488002227,
+      "loss": 4.5838,
+      "mean_token_accuracy": 0.22520019114017487,
+      "num_tokens": 16962940.0,
+      "step": 9310
+    },
+    {
+      "entropy": 5.229482698440552,
+      "epoch": 7.717481358740679,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00011504464604694953,
+      "loss": 4.4865,
+      "mean_token_accuracy": 0.23147685676813126,
+      "num_tokens": 16971322.0,
+      "step": 9315
+    },
+    {
+      "entropy": 5.245448875427246,
+      "epoch": 7.72162386081193,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00011482006986130533,
+      "loss": 4.4294,
+      "mean_token_accuracy": 0.23540343344211578,
+      "num_tokens": 16980066.0,
+      "step": 9320
+    },
+    {
+      "entropy": 5.247683668136597,
+      "epoch": 7.725766362883181,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00011459581677608453,
+      "loss": 4.5173,
+      "mean_token_accuracy": 0.2335611492395401,
+      "num_tokens": 16989202.0,
+      "step": 9325
+    },
+    {
+      "entropy": 5.193714046478272,
+      "epoch": 7.7299088649544325,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00011437188724362997,
+      "loss": 4.5308,
+      "mean_token_accuracy": 0.22125924676656722,
+      "num_tokens": 16999267.0,
+      "step": 9330
+    },
+    {
+      "entropy": 5.173966312408448,
+      "epoch": 7.734051367025684,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00011414828171563214,
+      "loss": 4.4961,
+      "mean_token_accuracy": 0.2306640401482582,
+      "num_tokens": 17008252.0,
+      "step": 9335
+    },
+    {
+      "entropy": 5.222964191436768,
+      "epoch": 7.738193869096935,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00011392500064312773,
+      "loss": 4.4861,
+      "mean_token_accuracy": 0.23044844567775727,
+      "num_tokens": 17017568.0,
+      "step": 9340
+    },
+    {
+      "entropy": 5.249899530410767,
+      "epoch": 7.742336371168186,
+      "grad_norm": 1.578125,
+      "learning_rate": 0.000113702044476499,
+      "loss": 4.4943,
+      "mean_token_accuracy": 0.2308612123131752,
+      "num_tokens": 17026206.0,
+      "step": 9345
+    },
+    {
+      "entropy": 5.2420073509216305,
+      "epoch": 7.746478873239437,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00011347941366547303,
+      "loss": 4.4643,
+      "mean_token_accuracy": 0.23350251317024232,
+      "num_tokens": 17035114.0,
+      "step": 9350
+    },
+    {
+      "entropy": 5.238725233078003,
+      "epoch": 7.750621375310688,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001132571086591204,
+      "loss": 4.5356,
+      "mean_token_accuracy": 0.2302680641412735,
+      "num_tokens": 17044459.0,
+      "step": 9355
+    },
+    {
+      "entropy": 5.248926877975464,
+      "epoch": 7.754763877381938,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001130351299058547,
+      "loss": 4.5629,
+      "mean_token_accuracy": 0.220232954621315,
+      "num_tokens": 17053985.0,
+      "step": 9360
+    },
+    {
+      "entropy": 5.184970664978027,
+      "epoch": 7.758906379453189,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00011281347785343127,
+      "loss": 4.3551,
+      "mean_token_accuracy": 0.24387124329805374,
+      "num_tokens": 17063136.0,
+      "step": 9365
+    },
+    {
+      "entropy": 5.232142210006714,
+      "epoch": 7.7630488815244405,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00011259215294894647,
+      "loss": 4.5255,
+      "mean_token_accuracy": 0.22341912239789963,
+      "num_tokens": 17072423.0,
+      "step": 9370
+    },
+    {
+      "entropy": 5.20652437210083,
+      "epoch": 7.767191383595692,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00011237115563883693,
+      "loss": 4.4755,
+      "mean_token_accuracy": 0.23369871973991393,
+      "num_tokens": 17080578.0,
+      "step": 9375
+    },
+    {
+      "entropy": 5.195418119430542,
+      "epoch": 7.771333885666943,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00011215048636887825,
+      "loss": 4.4118,
+      "mean_token_accuracy": 0.24118203073740005,
+      "num_tokens": 17089995.0,
+      "step": 9380
+    },
+    {
+      "entropy": 5.147100353240967,
+      "epoch": 7.775476387738194,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001119301455841846,
+      "loss": 4.4097,
+      "mean_token_accuracy": 0.2331821948289871,
+      "num_tokens": 17099659.0,
+      "step": 9385
+    },
+    {
+      "entropy": 5.245456647872925,
+      "epoch": 7.779618889809445,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00011171013372920735,
+      "loss": 4.5308,
+      "mean_token_accuracy": 0.2302419975399971,
+      "num_tokens": 17109972.0,
+      "step": 9390
+    },
+    {
+      "entropy": 5.282257461547852,
+      "epoch": 7.783761391880696,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00011149045124773441,
+      "loss": 4.617,
+      "mean_token_accuracy": 0.2195971965789795,
+      "num_tokens": 17120288.0,
+      "step": 9395
+    },
+    {
+      "entropy": 5.251280069351196,
+      "epoch": 7.787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00011127109858288945,
+      "loss": 4.5275,
+      "mean_token_accuracy": 0.23744001388549804,
+      "num_tokens": 17130577.0,
+      "step": 9400
+    },
+    {
+      "entropy": 5.277375173568726,
+      "epoch": 7.792046396023198,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00011105207617713065,
+      "loss": 4.5846,
+      "mean_token_accuracy": 0.22438258528709412,
+      "num_tokens": 17140782.0,
+      "step": 9405
+    },
+    {
+      "entropy": 5.172359895706177,
+      "epoch": 7.796188898094449,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00011083338447225027,
+      "loss": 4.4852,
+      "mean_token_accuracy": 0.22962091118097305,
+      "num_tokens": 17150013.0,
+      "step": 9410
+    },
+    {
+      "entropy": 5.282632112503052,
+      "epoch": 7.8003314001657,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00011061502390937331,
+      "loss": 4.5287,
+      "mean_token_accuracy": 0.22322992384433746,
+      "num_tokens": 17159349.0,
+      "step": 9415
+    },
+    {
+      "entropy": 5.277588748931885,
+      "epoch": 7.804473902236952,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.0001103969949289568,
+      "loss": 4.5575,
+      "mean_token_accuracy": 0.23068788200616835,
+      "num_tokens": 17168063.0,
+      "step": 9420
+    },
+    {
+      "entropy": 5.27054352760315,
+      "epoch": 7.808616404308202,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00011017929797078919,
+      "loss": 4.5128,
+      "mean_token_accuracy": 0.22348960638046264,
+      "num_tokens": 17177087.0,
+      "step": 9425
+    },
+    {
+      "entropy": 5.23571743965149,
+      "epoch": 7.812758906379453,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00010996193347398886,
+      "loss": 4.4804,
+      "mean_token_accuracy": 0.2383258655667305,
+      "num_tokens": 17186875.0,
+      "step": 9430
+    },
+    {
+      "entropy": 5.23639702796936,
+      "epoch": 7.816901408450704,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00010974490187700394,
+      "loss": 4.5367,
+      "mean_token_accuracy": 0.2227595865726471,
+      "num_tokens": 17195666.0,
+      "step": 9435
+    },
+    {
+      "entropy": 5.224313688278198,
+      "epoch": 7.821043910521955,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0001095282036176107,
+      "loss": 4.4819,
+      "mean_token_accuracy": 0.22626830786466598,
+      "num_tokens": 17205145.0,
+      "step": 9440
+    },
+    {
+      "entropy": 5.25811996459961,
+      "epoch": 7.825186412593206,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00010931183913291335,
+      "loss": 4.5312,
+      "mean_token_accuracy": 0.2275287076830864,
+      "num_tokens": 17214106.0,
+      "step": 9445
+    },
+    {
+      "entropy": 5.185547399520874,
+      "epoch": 7.829328914664457,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00010909580885934265,
+      "loss": 4.3977,
+      "mean_token_accuracy": 0.24248179346323012,
+      "num_tokens": 17223343.0,
+      "step": 9450
+    },
+    {
+      "entropy": 5.235095453262329,
+      "epoch": 7.8334714167357085,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00010888011323265517,
+      "loss": 4.5538,
+      "mean_token_accuracy": 0.22286391854286194,
+      "num_tokens": 17233528.0,
+      "step": 9455
+    },
+    {
+      "entropy": 5.166561889648437,
+      "epoch": 7.83761391880696,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00010866475268793275,
+      "loss": 4.417,
+      "mean_token_accuracy": 0.23417006582021713,
+      "num_tokens": 17242026.0,
+      "step": 9460
+    },
+    {
+      "entropy": 5.164305257797241,
+      "epoch": 7.841756420878211,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00010844972765958096,
+      "loss": 4.4521,
+      "mean_token_accuracy": 0.23989777714014054,
+      "num_tokens": 17251203.0,
+      "step": 9465
+    },
+    {
+      "entropy": 5.134662532806397,
+      "epoch": 7.845898922949462,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00010823503858132894,
+      "loss": 4.3833,
+      "mean_token_accuracy": 0.23944269567728044,
+      "num_tokens": 17260072.0,
+      "step": 9470
+    },
+    {
+      "entropy": 5.221753406524658,
+      "epoch": 7.850041425020713,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00010802068588622793,
+      "loss": 4.515,
+      "mean_token_accuracy": 0.23257962763309478,
+      "num_tokens": 17269015.0,
+      "step": 9475
+    },
+    {
+      "entropy": 5.2019994258880615,
+      "epoch": 7.854183927091963,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00010780667000665067,
+      "loss": 4.4506,
+      "mean_token_accuracy": 0.24606569111347198,
+      "num_tokens": 17277721.0,
+      "step": 9480
+    },
+    {
+      "entropy": 5.219488096237183,
+      "epoch": 7.858326429163214,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00010759299137429073,
+      "loss": 4.5167,
+      "mean_token_accuracy": 0.2341366305947304,
+      "num_tokens": 17286805.0,
+      "step": 9485
+    },
+    {
+      "entropy": 5.258726453781128,
+      "epoch": 7.862468931234465,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00010737965042016116,
+      "loss": 4.5958,
+      "mean_token_accuracy": 0.22132833003997804,
+      "num_tokens": 17297577.0,
+      "step": 9490
+    },
+    {
+      "entropy": 5.259564542770386,
+      "epoch": 7.866611433305716,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00010716664757459404,
+      "loss": 4.4898,
+      "mean_token_accuracy": 0.2290081799030304,
+      "num_tokens": 17306620.0,
+      "step": 9495
+    },
+    {
+      "entropy": 5.2478546619415285,
+      "epoch": 7.8707539353769675,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00010695398326723938,
+      "loss": 4.5186,
+      "mean_token_accuracy": 0.22088584303855896,
+      "num_tokens": 17314796.0,
+      "step": 9500
+    },
+    {
+      "epoch": 7.8707539353769675,
+      "eval_entropy": 5.124833188331458,
+      "eval_loss": 5.722036838531494,
+      "eval_mean_token_accuracy": 0.16973218553737282,
+      "eval_num_tokens": 17314796.0,
+      "eval_runtime": 2.7518,
+      "eval_samples_per_second": 1361.662,
+      "eval_steps_per_second": 170.435,
+      "step": 9500
+    },
+    {
+      "entropy": 5.254538726806641,
+      "epoch": 7.874896437448219,
+      "grad_norm": 1.59375,
+      "learning_rate": 0.00010674165792706423,
+      "loss": 4.5362,
+      "mean_token_accuracy": 0.2321956381201744,
+      "num_tokens": 17324048.0,
+      "step": 9505
+    },
+    {
+      "entropy": 5.231704330444336,
+      "epoch": 7.87903893951947,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00010652967198235214,
+      "loss": 4.5016,
+      "mean_token_accuracy": 0.22966693341732025,
+      "num_tokens": 17333354.0,
+      "step": 9510
+    },
+    {
+      "entropy": 5.187391471862793,
+      "epoch": 7.883181441590721,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001063180258607018,
+      "loss": 4.4236,
+      "mean_token_accuracy": 0.24541445523500444,
+      "num_tokens": 17343026.0,
+      "step": 9515
+    },
+    {
+      "entropy": 5.156158971786499,
+      "epoch": 7.887323943661972,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00010610671998902671,
+      "loss": 4.3988,
+      "mean_token_accuracy": 0.2460971713066101,
+      "num_tokens": 17351161.0,
+      "step": 9520
+    },
+    {
+      "entropy": 5.217752170562744,
+      "epoch": 7.891466445733223,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00010589575479355379,
+      "loss": 4.4439,
+      "mean_token_accuracy": 0.23356560468673707,
+      "num_tokens": 17360697.0,
+      "step": 9525
+    },
+    {
+      "entropy": 5.239214277267456,
+      "epoch": 7.895608947804474,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00010568513069982289,
+      "loss": 4.52,
+      "mean_token_accuracy": 0.22984081357717515,
+      "num_tokens": 17370303.0,
+      "step": 9530
+    },
+    {
+      "entropy": 5.209999418258667,
+      "epoch": 7.899751449875725,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00010547484813268594,
+      "loss": 4.4913,
+      "mean_token_accuracy": 0.2257639542222023,
+      "num_tokens": 17379557.0,
+      "step": 9535
+    },
+    {
+      "entropy": 5.242380571365357,
+      "epoch": 7.903893951946976,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00010526490751630568,
+      "loss": 4.5388,
+      "mean_token_accuracy": 0.2311421036720276,
+      "num_tokens": 17388206.0,
+      "step": 9540
+    },
+    {
+      "entropy": 5.27910270690918,
+      "epoch": 7.908036454018227,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00010505530927415544,
+      "loss": 4.5921,
+      "mean_token_accuracy": 0.22979632169008254,
+      "num_tokens": 17398055.0,
+      "step": 9545
+    },
+    {
+      "entropy": 5.15529146194458,
+      "epoch": 7.912178956089478,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00010484605382901772,
+      "loss": 4.3899,
+      "mean_token_accuracy": 0.2327595457434654,
+      "num_tokens": 17407214.0,
+      "step": 9550
+    },
+    {
+      "entropy": 5.2571430683135985,
+      "epoch": 7.916321458160729,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00010463714160298354,
+      "loss": 4.5125,
+      "mean_token_accuracy": 0.23076227605342864,
+      "num_tokens": 17416447.0,
+      "step": 9555
+    },
+    {
+      "entropy": 5.230874300003052,
+      "epoch": 7.92046396023198,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.00010442857301745184,
+      "loss": 4.5231,
+      "mean_token_accuracy": 0.22791534811258315,
+      "num_tokens": 17424921.0,
+      "step": 9560
+    },
+    {
+      "entropy": 5.141931629180908,
+      "epoch": 7.924606462303231,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0001042203484931281,
+      "loss": 4.3655,
+      "mean_token_accuracy": 0.2378263220191002,
+      "num_tokens": 17434425.0,
+      "step": 9565
+    },
+    {
+      "entropy": 5.186363983154297,
+      "epoch": 7.928748964374482,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00010401246845002407,
+      "loss": 4.4757,
+      "mean_token_accuracy": 0.23377338647842408,
+      "num_tokens": 17443879.0,
+      "step": 9570
+    },
+    {
+      "entropy": 5.210091876983642,
+      "epoch": 7.932891466445733,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00010380493330745641,
+      "loss": 4.4587,
+      "mean_token_accuracy": 0.23192314356565474,
+      "num_tokens": 17452276.0,
+      "step": 9575
+    },
+    {
+      "entropy": 5.215310287475586,
+      "epoch": 7.937033968516984,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00010359774348404626,
+      "loss": 4.4939,
+      "mean_token_accuracy": 0.23562314212322236,
+      "num_tokens": 17460706.0,
+      "step": 9580
+    },
+    {
+      "entropy": 5.224613237380981,
+      "epoch": 7.9411764705882355,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.00010339089939771814,
+      "loss": 4.5236,
+      "mean_token_accuracy": 0.23302816599607468,
+      "num_tokens": 17469754.0,
+      "step": 9585
+    },
+    {
+      "entropy": 5.229640674591065,
+      "epoch": 7.945318972659487,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00010318440146569904,
+      "loss": 4.6337,
+      "mean_token_accuracy": 0.21704740524291993,
+      "num_tokens": 17480057.0,
+      "step": 9590
+    },
+    {
+      "entropy": 5.159609174728393,
+      "epoch": 7.949461474730738,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00010297825010451806,
+      "loss": 4.4828,
+      "mean_token_accuracy": 0.2280757188796997,
+      "num_tokens": 17490427.0,
+      "step": 9595
+    },
+    {
+      "entropy": 5.2409614562988285,
+      "epoch": 7.953603976801988,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001027724457300048,
+      "loss": 4.5002,
+      "mean_token_accuracy": 0.22425992041826248,
+      "num_tokens": 17499105.0,
+      "step": 9600
+    },
+    {
+      "entropy": 5.23765196800232,
+      "epoch": 7.957746478873239,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00010256698875728938,
+      "loss": 4.547,
+      "mean_token_accuracy": 0.22590158581733705,
+      "num_tokens": 17508499.0,
+      "step": 9605
+    },
+    {
+      "entropy": 5.163430261611938,
+      "epoch": 7.96188898094449,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00010236187960080084,
+      "loss": 4.4222,
+      "mean_token_accuracy": 0.23525544255971909,
+      "num_tokens": 17516885.0,
+      "step": 9610
+    },
+    {
+      "entropy": 5.1939342498779295,
+      "epoch": 7.966031483015741,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00010215711867426678,
+      "loss": 4.4244,
+      "mean_token_accuracy": 0.23281094878911973,
+      "num_tokens": 17524958.0,
+      "step": 9615
+    },
+    {
+      "entropy": 5.214349365234375,
+      "epoch": 7.970173985086992,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00010195270639071243,
+      "loss": 4.5069,
+      "mean_token_accuracy": 0.2273066148161888,
+      "num_tokens": 17534185.0,
+      "step": 9620
+    },
+    {
+      "entropy": 5.249651336669922,
+      "epoch": 7.9743164871582435,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001017486431624596,
+      "loss": 4.5279,
+      "mean_token_accuracy": 0.23122728317976,
+      "num_tokens": 17542696.0,
+      "step": 9625
+    },
+    {
+      "entropy": 5.185487270355225,
+      "epoch": 7.978458989229495,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00010154492940112624,
+      "loss": 4.4113,
+      "mean_token_accuracy": 0.24716590344905853,
+      "num_tokens": 17552751.0,
+      "step": 9630
+    },
+    {
+      "entropy": 5.29529037475586,
+      "epoch": 7.982601491300746,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00010134156551762519,
+      "loss": 4.5379,
+      "mean_token_accuracy": 0.2170561745762825,
+      "num_tokens": 17561973.0,
+      "step": 9635
+    },
+    {
+      "entropy": 5.267471647262573,
+      "epoch": 7.986743993371997,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00010113855192216359,
+      "loss": 4.5527,
+      "mean_token_accuracy": 0.2246631383895874,
+      "num_tokens": 17571238.0,
+      "step": 9640
+    },
+    {
+      "entropy": 5.232839488983155,
+      "epoch": 7.990886495443248,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00010093588902424217,
+      "loss": 4.4622,
+      "mean_token_accuracy": 0.23793471455574036,
+      "num_tokens": 17580189.0,
+      "step": 9645
+    },
+    {
+      "entropy": 5.242947244644165,
+      "epoch": 7.995028997514499,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00010073357723265398,
+      "loss": 4.5355,
+      "mean_token_accuracy": 0.22305892258882523,
+      "num_tokens": 17590051.0,
+      "step": 9650
+    },
+    {
+      "entropy": 5.258848190307617,
+      "epoch": 7.99917149958575,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00010053161695548418,
+      "loss": 4.5267,
+      "mean_token_accuracy": 0.22477346956729888,
+      "num_tokens": 17599036.0,
+      "step": 9655
+    },
+    {
+      "entropy": 5.2261518955230715,
+      "epoch": 8.003314001657001,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00010033000860010866,
+      "loss": 4.407,
+      "mean_token_accuracy": 0.2392567962408066,
+      "num_tokens": 17608433.0,
+      "step": 9660
+    },
+    {
+      "entropy": 5.227947092056274,
+      "epoch": 8.007456503728251,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001001287525731934,
+      "loss": 4.4214,
+      "mean_token_accuracy": 0.23113029599189758,
+      "num_tokens": 17617696.0,
+      "step": 9665
+    },
+    {
+      "entropy": 5.220786905288696,
+      "epoch": 8.011599005799503,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.992784928069397e-05,
+      "loss": 4.4613,
+      "mean_token_accuracy": 0.23347013741731643,
+      "num_tokens": 17626619.0,
+      "step": 9670
+    },
+    {
+      "entropy": 5.207056665420533,
+      "epoch": 8.015741507870754,
+      "grad_norm": 1.453125,
+      "learning_rate": 9.972729912785411e-05,
+      "loss": 4.3419,
+      "mean_token_accuracy": 0.24283643662929535,
+      "num_tokens": 17635306.0,
+      "step": 9675
+    },
+    {
+      "entropy": 5.166647005081177,
+      "epoch": 8.019884009942006,
+      "grad_norm": 1.5703125,
+      "learning_rate": 9.95271025192055e-05,
+      "loss": 4.3254,
+      "mean_token_accuracy": 0.24794788360595704,
+      "num_tokens": 17643526.0,
+      "step": 9680
+    },
+    {
+      "entropy": 5.258458948135376,
+      "epoch": 8.024026512013256,
+      "grad_norm": 1.484375,
+      "learning_rate": 9.93272598585665e-05,
+      "loss": 4.5109,
+      "mean_token_accuracy": 0.22621739655733109,
+      "num_tokens": 17652474.0,
+      "step": 9685
+    },
+    {
+      "entropy": 5.182386016845703,
+      "epoch": 8.028169014084508,
+      "grad_norm": 1.3828125,
+      "learning_rate": 9.912777154904171e-05,
+      "loss": 4.4387,
+      "mean_token_accuracy": 0.2345404177904129,
+      "num_tokens": 17662025.0,
+      "step": 9690
+    },
+    {
+      "entropy": 5.121964597702027,
+      "epoch": 8.032311516155758,
+      "grad_norm": 1.40625,
+      "learning_rate": 9.89286379930207e-05,
+      "loss": 4.3627,
+      "mean_token_accuracy": 0.24598751664161683,
+      "num_tokens": 17670908.0,
+      "step": 9695
+    },
+    {
+      "entropy": 5.156725072860718,
+      "epoch": 8.036454018227008,
+      "grad_norm": 1.375,
+      "learning_rate": 9.872985959217779e-05,
+      "loss": 4.3483,
+      "mean_token_accuracy": 0.25048859864473344,
+      "num_tokens": 17681242.0,
+      "step": 9700
+    },
+    {
+      "entropy": 5.181863164901733,
+      "epoch": 8.04059652029826,
+      "grad_norm": 1.4921875,
+      "learning_rate": 9.853143674747053e-05,
+      "loss": 4.3156,
+      "mean_token_accuracy": 0.2496207669377327,
+      "num_tokens": 17689816.0,
+      "step": 9705
+    },
+    {
+      "entropy": 5.230922269821167,
+      "epoch": 8.04473902236951,
+      "grad_norm": 1.3984375,
+      "learning_rate": 9.833336985913965e-05,
+      "loss": 4.4079,
+      "mean_token_accuracy": 0.24356723576784134,
+      "num_tokens": 17699251.0,
+      "step": 9710
+    },
+    {
+      "entropy": 5.25123929977417,
+      "epoch": 8.048881524440763,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.813565932670767e-05,
+      "loss": 4.446,
+      "mean_token_accuracy": 0.24057540595531463,
+      "num_tokens": 17708906.0,
+      "step": 9715
+    },
+    {
+      "entropy": 5.302001190185547,
+      "epoch": 8.053024026512013,
+      "grad_norm": 1.4375,
+      "learning_rate": 9.793830554897826e-05,
+      "loss": 4.4337,
+      "mean_token_accuracy": 0.23162751942873,
+      "num_tokens": 17718071.0,
+      "step": 9720
+    },
+    {
+      "entropy": 5.1823859214782715,
+      "epoch": 8.057166528583265,
+      "grad_norm": 1.3515625,
+      "learning_rate": 9.774130892403566e-05,
+      "loss": 4.3382,
+      "mean_token_accuracy": 0.24795254766941072,
+      "num_tokens": 17727690.0,
+      "step": 9725
+    },
+    {
+      "entropy": 5.172320461273193,
+      "epoch": 8.061309030654515,
+      "grad_norm": 1.484375,
+      "learning_rate": 9.754466984924348e-05,
+      "loss": 4.3471,
+      "mean_token_accuracy": 0.2395310789346695,
+      "num_tokens": 17735934.0,
+      "step": 9730
+    },
+    {
+      "entropy": 5.17168607711792,
+      "epoch": 8.065451532725767,
+      "grad_norm": 1.4609375,
+      "learning_rate": 9.734838872124432e-05,
+      "loss": 4.3454,
+      "mean_token_accuracy": 0.24042212218046188,
+      "num_tokens": 17744323.0,
+      "step": 9735
+    },
+    {
+      "entropy": 5.1320466041564945,
+      "epoch": 8.069594034797017,
+      "grad_norm": 1.3515625,
+      "learning_rate": 9.715246593595859e-05,
+      "loss": 4.3431,
+      "mean_token_accuracy": 0.24951379895210266,
+      "num_tokens": 17753335.0,
+      "step": 9740
+    },
+    {
+      "entropy": 5.1748122215271,
+      "epoch": 8.07373653686827,
+      "grad_norm": 1.4609375,
+      "learning_rate": 9.695690188858408e-05,
+      "loss": 4.3963,
+      "mean_token_accuracy": 0.24002762883901596,
+      "num_tokens": 17761952.0,
+      "step": 9745
+    },
+    {
+      "entropy": 5.260321378707886,
+      "epoch": 8.07787903893952,
+      "grad_norm": 1.4765625,
+      "learning_rate": 9.676169697359469e-05,
+      "loss": 4.4649,
+      "mean_token_accuracy": 0.24228229522705078,
+      "num_tokens": 17771341.0,
+      "step": 9750
+    },
+    {
+      "entropy": 5.1761212825775145,
+      "epoch": 8.08202154101077,
+      "grad_norm": 1.328125,
+      "learning_rate": 9.656685158474018e-05,
+      "loss": 4.3596,
+      "mean_token_accuracy": 0.24516458809375763,
+      "num_tokens": 17780289.0,
+      "step": 9755
+    },
+    {
+      "entropy": 5.217165899276734,
+      "epoch": 8.086164043082022,
+      "grad_norm": 1.546875,
+      "learning_rate": 9.63723661150449e-05,
+      "loss": 4.4392,
+      "mean_token_accuracy": 0.23620954900979996,
+      "num_tokens": 17789317.0,
+      "step": 9760
+    },
+    {
+      "entropy": 5.302271842956543,
+      "epoch": 8.090306545153272,
+      "grad_norm": 1.515625,
+      "learning_rate": 9.617824095680742e-05,
+      "loss": 4.4804,
+      "mean_token_accuracy": 0.2370125576853752,
+      "num_tokens": 17797875.0,
+      "step": 9765
+    },
+    {
+      "entropy": 5.219267177581787,
+      "epoch": 8.094449047224524,
+      "grad_norm": 1.3203125,
+      "learning_rate": 9.598447650159931e-05,
+      "loss": 4.4245,
+      "mean_token_accuracy": 0.24013179689645767,
+      "num_tokens": 17806603.0,
+      "step": 9770
+    },
+    {
+      "entropy": 5.327665138244629,
+      "epoch": 8.098591549295774,
+      "grad_norm": 1.46875,
+      "learning_rate": 9.579107314026459e-05,
+      "loss": 4.5079,
+      "mean_token_accuracy": 0.22462410479784012,
+      "num_tokens": 17815747.0,
+      "step": 9775
+    },
+    {
+      "entropy": 5.211456394195556,
+      "epoch": 8.102734051367026,
+      "grad_norm": 1.359375,
+      "learning_rate": 9.559803126291911e-05,
+      "loss": 4.3642,
+      "mean_token_accuracy": 0.23971107304096223,
+      "num_tokens": 17824568.0,
+      "step": 9780
+    },
+    {
+      "entropy": 5.275164175033569,
+      "epoch": 8.106876553438276,
+      "grad_norm": 1.390625,
+      "learning_rate": 9.540535125894931e-05,
+      "loss": 4.4685,
+      "mean_token_accuracy": 0.24380181431770326,
+      "num_tokens": 17834244.0,
+      "step": 9785
+    },
+    {
+      "entropy": 5.198601388931275,
+      "epoch": 8.111019055509528,
+      "grad_norm": 1.46875,
+      "learning_rate": 9.521303351701193e-05,
+      "loss": 4.3476,
+      "mean_token_accuracy": 0.24773648232221604,
+      "num_tokens": 17843285.0,
+      "step": 9790
+    },
+    {
+      "entropy": 5.232069730758667,
+      "epoch": 8.115161557580779,
+      "grad_norm": 1.390625,
+      "learning_rate": 9.502107842503282e-05,
+      "loss": 4.4455,
+      "mean_token_accuracy": 0.24342902153730392,
+      "num_tokens": 17852379.0,
+      "step": 9795
+    },
+    {
+      "entropy": 5.213220930099487,
+      "epoch": 8.11930405965203,
+      "grad_norm": 1.4375,
+      "learning_rate": 9.48294863702063e-05,
+      "loss": 4.3962,
+      "mean_token_accuracy": 0.24655861258506775,
+      "num_tokens": 17861948.0,
+      "step": 9800
+    },
+    {
+      "entropy": 5.206108331680298,
+      "epoch": 8.12344656172328,
+      "grad_norm": 1.40625,
+      "learning_rate": 9.463825773899465e-05,
+      "loss": 4.3549,
+      "mean_token_accuracy": 0.24822819530963897,
+      "num_tokens": 17870445.0,
+      "step": 9805
+    },
+    {
+      "entropy": 5.2526586055755615,
+      "epoch": 8.127589063794533,
+      "grad_norm": 1.3984375,
+      "learning_rate": 9.444739291712673e-05,
+      "loss": 4.4184,
+      "mean_token_accuracy": 0.2502383813261986,
+      "num_tokens": 17879380.0,
+      "step": 9810
+    },
+    {
+      "entropy": 5.200527477264404,
+      "epoch": 8.131731565865783,
+      "grad_norm": 1.3671875,
+      "learning_rate": 9.425689228959791e-05,
+      "loss": 4.4375,
+      "mean_token_accuracy": 0.23672084957361222,
+      "num_tokens": 17888631.0,
+      "step": 9815
+    },
+    {
+      "entropy": 5.180902576446533,
+      "epoch": 8.135874067937033,
+      "grad_norm": 1.390625,
+      "learning_rate": 9.406675624066868e-05,
+      "loss": 4.3782,
+      "mean_token_accuracy": 0.2451987087726593,
+      "num_tokens": 17898541.0,
+      "step": 9820
+    },
+    {
+      "entropy": 5.233185815811157,
+      "epoch": 8.140016570008285,
+      "grad_norm": 1.5078125,
+      "learning_rate": 9.38769851538642e-05,
+      "loss": 4.3855,
+      "mean_token_accuracy": 0.24561118185520173,
+      "num_tokens": 17906664.0,
+      "step": 9825
+    },
+    {
+      "entropy": 5.207144069671631,
+      "epoch": 8.144159072079535,
+      "grad_norm": 1.4609375,
+      "learning_rate": 9.368757941197356e-05,
+      "loss": 4.3938,
+      "mean_token_accuracy": 0.24579526335000992,
+      "num_tokens": 17916201.0,
+      "step": 9830
+    },
+    {
+      "entropy": 5.240351390838623,
+      "epoch": 8.148301574150787,
+      "grad_norm": 1.2734375,
+      "learning_rate": 9.34985393970488e-05,
+      "loss": 4.4433,
+      "mean_token_accuracy": 0.23590292483568193,
+      "num_tokens": 17925700.0,
+      "step": 9835
+    },
+    {
+      "entropy": 5.180185317993164,
+      "epoch": 8.152444076222038,
+      "grad_norm": 1.421875,
+      "learning_rate": 9.330986549040432e-05,
+      "loss": 4.3908,
+      "mean_token_accuracy": 0.24027481973171233,
+      "num_tokens": 17934293.0,
+      "step": 9840
+    },
+    {
+      "entropy": 5.178470325469971,
+      "epoch": 8.15658657829329,
+      "grad_norm": 1.34375,
+      "learning_rate": 9.312155807261602e-05,
+      "loss": 4.4131,
+      "mean_token_accuracy": 0.2327113226056099,
+      "num_tokens": 17943541.0,
+      "step": 9845
+    },
+    {
+      "entropy": 5.2424520492553714,
+      "epoch": 8.16072908036454,
+      "grad_norm": 1.2890625,
+      "learning_rate": 9.293361752352045e-05,
+      "loss": 4.4064,
+      "mean_token_accuracy": 0.24514926224946976,
+      "num_tokens": 17952616.0,
+      "step": 9850
+    },
+    {
+      "entropy": 5.255953550338745,
+      "epoch": 8.164871582435792,
+      "grad_norm": 1.328125,
+      "learning_rate": 9.274604422221433e-05,
+      "loss": 4.3449,
+      "mean_token_accuracy": 0.2437419757246971,
+      "num_tokens": 17961414.0,
+      "step": 9855
+    },
+    {
+      "entropy": 5.2429039001464846,
+      "epoch": 8.169014084507042,
+      "grad_norm": 1.421875,
+      "learning_rate": 9.255883854705344e-05,
+      "loss": 4.4505,
+      "mean_token_accuracy": 0.23757243603467942,
+      "num_tokens": 17972077.0,
+      "step": 9860
+    },
+    {
+      "entropy": 5.207650089263916,
+      "epoch": 8.173156586578294,
+      "grad_norm": 1.4375,
+      "learning_rate": 9.237200087565217e-05,
+      "loss": 4.3777,
+      "mean_token_accuracy": 0.2455221474170685,
+      "num_tokens": 17980303.0,
+      "step": 9865
+    },
+    {
+      "entropy": 5.269549179077148,
+      "epoch": 8.177299088649544,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.218553158488238e-05,
+      "loss": 4.4719,
+      "mean_token_accuracy": 0.23264755457639694,
+      "num_tokens": 17990410.0,
+      "step": 9870
+    },
+    {
+      "entropy": 5.2003992080688475,
+      "epoch": 8.181441590720794,
+      "grad_norm": 1.390625,
+      "learning_rate": 9.199943105087319e-05,
+      "loss": 4.351,
+      "mean_token_accuracy": 0.24489290416240692,
+      "num_tokens": 17998931.0,
+      "step": 9875
+    },
+    {
+      "entropy": 5.211326789855957,
+      "epoch": 8.185584092792046,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.181369964900957e-05,
+      "loss": 4.4133,
+      "mean_token_accuracy": 0.24307847917079925,
+      "num_tokens": 18007853.0,
+      "step": 9880
+    },
+    {
+      "entropy": 5.2086700916290285,
+      "epoch": 8.189726594863297,
+      "grad_norm": 1.421875,
+      "learning_rate": 9.162833775393209e-05,
+      "loss": 4.3599,
+      "mean_token_accuracy": 0.2421637535095215,
+      "num_tokens": 18016517.0,
+      "step": 9885
+    },
+    {
+      "entropy": 5.26172833442688,
+      "epoch": 8.193869096934549,
+      "grad_norm": 1.4609375,
+      "learning_rate": 9.1443345739536e-05,
+      "loss": 4.4611,
+      "mean_token_accuracy": 0.2355372652411461,
+      "num_tokens": 18025057.0,
+      "step": 9890
+    },
+    {
+      "entropy": 5.222227954864502,
+      "epoch": 8.198011599005799,
+      "grad_norm": 1.4375,
+      "learning_rate": 9.12587239789703e-05,
+      "loss": 4.4596,
+      "mean_token_accuracy": 0.23549663424491882,
+      "num_tokens": 18034371.0,
+      "step": 9895
+    },
+    {
+      "entropy": 5.189918756484985,
+      "epoch": 8.202154101077051,
+      "grad_norm": 1.4453125,
+      "learning_rate": 9.10744728446374e-05,
+      "loss": 4.4308,
+      "mean_token_accuracy": 0.23917066752910615,
+      "num_tokens": 18043354.0,
+      "step": 9900
+    },
+    {
+      "entropy": 5.180388689041138,
+      "epoch": 8.206296603148301,
+      "grad_norm": 1.484375,
+      "learning_rate": 9.089059270819187e-05,
+      "loss": 4.3861,
+      "mean_token_accuracy": 0.2423325479030609,
+      "num_tokens": 18051879.0,
+      "step": 9905
+    },
+    {
+      "entropy": 5.280764532089234,
+      "epoch": 8.210439105219553,
+      "grad_norm": 1.359375,
+      "learning_rate": 9.070708394054005e-05,
+      "loss": 4.4389,
+      "mean_token_accuracy": 0.23874785751104355,
+      "num_tokens": 18062011.0,
+      "step": 9910
+    },
+    {
+      "entropy": 5.26232795715332,
+      "epoch": 8.214581607290803,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.052394691183921e-05,
+      "loss": 4.5075,
+      "mean_token_accuracy": 0.2256281480193138,
+      "num_tokens": 18071692.0,
+      "step": 9915
+    },
+    {
+      "entropy": 5.1943741798400875,
+      "epoch": 8.218724109362055,
+      "grad_norm": 1.3359375,
+      "learning_rate": 9.03411819914967e-05,
+      "loss": 4.3481,
+      "mean_token_accuracy": 0.24199035614728928,
+      "num_tokens": 18080646.0,
+      "step": 9920
+    },
+    {
+      "entropy": 5.1856715202331545,
+      "epoch": 8.222866611433306,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.015878954816941e-05,
+      "loss": 4.3647,
+      "mean_token_accuracy": 0.24757557958364487,
+      "num_tokens": 18088788.0,
+      "step": 9925
+    },
+    {
+      "entropy": 5.228688716888428,
+      "epoch": 8.227009113504558,
+      "grad_norm": 1.453125,
+      "learning_rate": 8.997676994976281e-05,
+      "loss": 4.4286,
+      "mean_token_accuracy": 0.23555690944194793,
+      "num_tokens": 18098319.0,
+      "step": 9930
+    },
+    {
+      "entropy": 5.214864444732666,
+      "epoch": 8.231151615575808,
+      "grad_norm": 1.34375,
+      "learning_rate": 8.979512356343023e-05,
+      "loss": 4.4766,
+      "mean_token_accuracy": 0.23683355748653412,
+      "num_tokens": 18107740.0,
+      "step": 9935
+    },
+    {
+      "entropy": 5.220425271987915,
+      "epoch": 8.235294117647058,
+      "grad_norm": 1.4453125,
+      "learning_rate": 8.961385075557243e-05,
+      "loss": 4.4552,
+      "mean_token_accuracy": 0.2304172098636627,
+      "num_tokens": 18117762.0,
+      "step": 9940
+    },
+    {
+      "entropy": 5.15520453453064,
+      "epoch": 8.23943661971831,
+      "grad_norm": 1.5,
+      "learning_rate": 8.943295189183632e-05,
+      "loss": 4.3286,
+      "mean_token_accuracy": 0.24465882033109665,
+      "num_tokens": 18126212.0,
+      "step": 9945
+    },
+    {
+      "entropy": 5.267645978927613,
+      "epoch": 8.24357912178956,
+      "grad_norm": 1.53125,
+      "learning_rate": 8.925242733711484e-05,
+      "loss": 4.4863,
+      "mean_token_accuracy": 0.23138361871242524,
+      "num_tokens": 18135622.0,
+      "step": 9950
+    },
+    {
+      "entropy": 5.260131311416626,
+      "epoch": 8.247721623860812,
+      "grad_norm": 1.5078125,
+      "learning_rate": 8.90722774555456e-05,
+      "loss": 4.4379,
+      "mean_token_accuracy": 0.23949550539255143,
+      "num_tokens": 18144768.0,
+      "step": 9955
+    },
+    {
+      "entropy": 5.2012913703918455,
+      "epoch": 8.251864125932062,
+      "grad_norm": 1.4296875,
+      "learning_rate": 8.889250261051063e-05,
+      "loss": 4.4585,
+      "mean_token_accuracy": 0.24050324261188508,
+      "num_tokens": 18155107.0,
+      "step": 9960
+    },
+    {
+      "entropy": 5.184732866287232,
+      "epoch": 8.256006628003314,
+      "grad_norm": 1.328125,
+      "learning_rate": 8.871310316463554e-05,
+      "loss": 4.414,
+      "mean_token_accuracy": 0.2437386229634285,
+      "num_tokens": 18164064.0,
+      "step": 9965
+    },
+    {
+      "entropy": 5.180590391159058,
+      "epoch": 8.260149130074565,
+      "grad_norm": 1.5234375,
+      "learning_rate": 8.853407947978845e-05,
+      "loss": 4.4594,
+      "mean_token_accuracy": 0.22373423725366592,
+      "num_tokens": 18172714.0,
+      "step": 9970
+    },
+    {
+      "entropy": 5.212049150466919,
+      "epoch": 8.264291632145817,
+      "grad_norm": 1.2890625,
+      "learning_rate": 8.835543191707982e-05,
+      "loss": 4.4596,
+      "mean_token_accuracy": 0.23423371762037276,
+      "num_tokens": 18182158.0,
+      "step": 9975
+    },
+    {
+      "entropy": 5.2256406307220455,
+      "epoch": 8.268434134217067,
+      "grad_norm": 1.5390625,
+      "learning_rate": 8.81771608368613e-05,
+      "loss": 4.4242,
+      "mean_token_accuracy": 0.23679217398166658,
+      "num_tokens": 18190605.0,
+      "step": 9980
+    },
+    {
+      "entropy": 5.228875350952149,
+      "epoch": 8.272576636288319,
+      "grad_norm": 1.484375,
+      "learning_rate": 8.799926659872507e-05,
+      "loss": 4.603,
+      "mean_token_accuracy": 0.2188064604997635,
+      "num_tokens": 18199992.0,
+      "step": 9985
+    },
+    {
+      "entropy": 5.269665288925171,
+      "epoch": 8.276719138359569,
+      "grad_norm": 1.453125,
+      "learning_rate": 8.782174956150335e-05,
+      "loss": 4.443,
+      "mean_token_accuracy": 0.2395315259695053,
+      "num_tokens": 18208641.0,
+      "step": 9990
+    },
+    {
+      "entropy": 5.248885774612427,
+      "epoch": 8.280861640430821,
+      "grad_norm": 1.359375,
+      "learning_rate": 8.764461008326723e-05,
+      "loss": 4.4454,
+      "mean_token_accuracy": 0.23489948213100434,
+      "num_tokens": 18218355.0,
+      "step": 9995
+    },
+    {
+      "entropy": 5.2219267845153805,
+      "epoch": 8.285004142502071,
+      "grad_norm": 1.4296875,
+      "learning_rate": 8.746784852132661e-05,
+      "loss": 4.4601,
+      "mean_token_accuracy": 0.23617841601371764,
+      "num_tokens": 18227217.0,
+      "step": 10000
+    },
+    {
+      "epoch": 8.285004142502071,
+      "eval_entropy": 5.130554149399942,
+      "eval_loss": 5.7228922843933105,
+      "eval_mean_token_accuracy": 0.16913784141225346,
+      "eval_num_tokens": 18227217.0,
+      "eval_runtime": 2.7555,
+      "eval_samples_per_second": 1359.835,
+      "eval_steps_per_second": 170.206,
+      "step": 10000
+    },
+    {
+      "entropy": 5.189085817337036,
+      "epoch": 8.289146644573322,
+      "grad_norm": 1.3671875,
+      "learning_rate": 8.729146523222877e-05,
+      "loss": 4.3974,
+      "mean_token_accuracy": 0.2361637681722641,
+      "num_tokens": 18236410.0,
+      "step": 10005
+    },
+    {
+      "entropy": 5.244648122787476,
+      "epoch": 8.293289146644574,
+      "grad_norm": 1.5703125,
+      "learning_rate": 8.711546057175804e-05,
+      "loss": 4.4474,
+      "mean_token_accuracy": 0.23846692740917205,
+      "num_tokens": 18244626.0,
+      "step": 10010
+    },
+    {
+      "entropy": 5.270169019699097,
+      "epoch": 8.297431648715824,
+      "grad_norm": 1.359375,
+      "learning_rate": 8.69398348949351e-05,
+      "loss": 4.4535,
+      "mean_token_accuracy": 0.23619772642850875,
+      "num_tokens": 18253938.0,
+      "step": 10015
+    },
+    {
+      "entropy": 5.18985161781311,
+      "epoch": 8.301574150787076,
+      "grad_norm": 1.5234375,
+      "learning_rate": 8.676458855601612e-05,
+      "loss": 4.4505,
+      "mean_token_accuracy": 0.23596869856119157,
+      "num_tokens": 18262674.0,
+      "step": 10020
+    },
+    {
+      "entropy": 5.250480699539184,
+      "epoch": 8.305716652858326,
+      "grad_norm": 1.3515625,
+      "learning_rate": 8.658972190849215e-05,
+      "loss": 4.4817,
+      "mean_token_accuracy": 0.23379983603954316,
+      "num_tokens": 18272558.0,
+      "step": 10025
+    },
+    {
+      "entropy": 5.291120862960815,
+      "epoch": 8.309859154929578,
+      "grad_norm": 1.53125,
+      "learning_rate": 8.641523530508827e-05,
+      "loss": 4.4931,
+      "mean_token_accuracy": 0.23938387334346772,
+      "num_tokens": 18282522.0,
+      "step": 10030
+    },
+    {
+      "entropy": 5.273213243484497,
+      "epoch": 8.314001657000828,
+      "grad_norm": 1.390625,
+      "learning_rate": 8.624112909776314e-05,
+      "loss": 4.4294,
+      "mean_token_accuracy": 0.23269279450178146,
+      "num_tokens": 18290933.0,
+      "step": 10035
+    },
+    {
+      "entropy": 5.212837028503418,
+      "epoch": 8.31814415907208,
+      "grad_norm": 1.421875,
+      "learning_rate": 8.606740363770788e-05,
+      "loss": 4.4088,
+      "mean_token_accuracy": 0.23555412590503694,
+      "num_tokens": 18300705.0,
+      "step": 10040
+    },
+    {
+      "entropy": 5.238656616210937,
+      "epoch": 8.32228666114333,
+      "grad_norm": 1.4375,
+      "learning_rate": 8.589405927534571e-05,
+      "loss": 4.4081,
+      "mean_token_accuracy": 0.244551882147789,
+      "num_tokens": 18309889.0,
+      "step": 10045
+    },
+    {
+      "entropy": 5.242896318435669,
+      "epoch": 8.326429163214582,
+      "grad_norm": 1.4609375,
+      "learning_rate": 8.57210963603313e-05,
+      "loss": 4.4503,
+      "mean_token_accuracy": 0.23040195405483246,
+      "num_tokens": 18319282.0,
+      "step": 10050
+    },
+    {
+      "entropy": 5.290544414520264,
+      "epoch": 8.330571665285833,
+      "grad_norm": 1.46875,
+      "learning_rate": 8.554851524154961e-05,
+      "loss": 4.4914,
+      "mean_token_accuracy": 0.23957772552967072,
+      "num_tokens": 18328713.0,
+      "step": 10055
+    },
+    {
+      "entropy": 5.18739800453186,
+      "epoch": 8.334714167357085,
+      "grad_norm": 1.5546875,
+      "learning_rate": 8.537631626711573e-05,
+      "loss": 4.3541,
+      "mean_token_accuracy": 0.24801484048366546,
+      "num_tokens": 18337262.0,
+      "step": 10060
+    },
+    {
+      "entropy": 5.273202228546142,
+      "epoch": 8.338856669428335,
+      "grad_norm": 1.296875,
+      "learning_rate": 8.520449978437372e-05,
+      "loss": 4.4515,
+      "mean_token_accuracy": 0.24038465470075607,
+      "num_tokens": 18346699.0,
+      "step": 10065
+    },
+    {
+      "entropy": 5.202633285522461,
+      "epoch": 8.342999171499585,
+      "grad_norm": 1.4140625,
+      "learning_rate": 8.50330661398962e-05,
+      "loss": 4.3765,
+      "mean_token_accuracy": 0.23907299488782882,
+      "num_tokens": 18355466.0,
+      "step": 10070
+    },
+    {
+      "entropy": 5.197913932800293,
+      "epoch": 8.347141673570837,
+      "grad_norm": 1.4921875,
+      "learning_rate": 8.486201567948363e-05,
+      "loss": 4.3871,
+      "mean_token_accuracy": 0.23954783082008363,
+      "num_tokens": 18363988.0,
+      "step": 10075
+    },
+    {
+      "entropy": 5.277276611328125,
+      "epoch": 8.351284175642087,
+      "grad_norm": 1.2734375,
+      "learning_rate": 8.469134874816342e-05,
+      "loss": 4.5177,
+      "mean_token_accuracy": 0.23427421301603318,
+      "num_tokens": 18373784.0,
+      "step": 10080
+    },
+    {
+      "entropy": 5.225943231582642,
+      "epoch": 8.35542667771334,
+      "grad_norm": 1.4296875,
+      "learning_rate": 8.45210656901895e-05,
+      "loss": 4.3798,
+      "mean_token_accuracy": 0.24082893282175064,
+      "num_tokens": 18382929.0,
+      "step": 10085
+    },
+    {
+      "entropy": 5.265467834472656,
+      "epoch": 8.35956917978459,
+      "grad_norm": 1.484375,
+      "learning_rate": 8.435116684904136e-05,
+      "loss": 4.4526,
+      "mean_token_accuracy": 0.23882831037044525,
+      "num_tokens": 18392399.0,
+      "step": 10090
+    },
+    {
+      "entropy": 5.2780547618865965,
+      "epoch": 8.363711681855841,
+      "grad_norm": 1.3359375,
+      "learning_rate": 8.418165256742346e-05,
+      "loss": 4.542,
+      "mean_token_accuracy": 0.22470442056655884,
+      "num_tokens": 18402255.0,
+      "step": 10095
+    },
+    {
+      "entropy": 5.233971357345581,
+      "epoch": 8.367854183927092,
+      "grad_norm": 1.296875,
+      "learning_rate": 8.401252318726473e-05,
+      "loss": 4.4252,
+      "mean_token_accuracy": 0.24408935755491257,
+      "num_tokens": 18411677.0,
+      "step": 10100
+    },
+    {
+      "entropy": 5.181299114227295,
+      "epoch": 8.371996685998344,
+      "grad_norm": 1.5390625,
+      "learning_rate": 8.384377904971753e-05,
+      "loss": 4.4185,
+      "mean_token_accuracy": 0.23354480415582657,
+      "num_tokens": 18420332.0,
+      "step": 10105
+    },
+    {
+      "entropy": 5.126711988449097,
+      "epoch": 8.376139188069594,
+      "grad_norm": 1.46875,
+      "learning_rate": 8.367542049515733e-05,
+      "loss": 4.3243,
+      "mean_token_accuracy": 0.2377860352396965,
+      "num_tokens": 18429542.0,
+      "step": 10110
+    },
+    {
+      "entropy": 5.238503551483154,
+      "epoch": 8.380281690140846,
+      "grad_norm": 1.4375,
+      "learning_rate": 8.350744786318168e-05,
+      "loss": 4.4209,
+      "mean_token_accuracy": 0.24683155715465546,
+      "num_tokens": 18439064.0,
+      "step": 10115
+    },
+    {
+      "entropy": 5.191628503799438,
+      "epoch": 8.384424192212096,
+      "grad_norm": 1.3984375,
+      "learning_rate": 8.33398614926097e-05,
+      "loss": 4.4405,
+      "mean_token_accuracy": 0.23440641164779663,
+      "num_tokens": 18449001.0,
+      "step": 10120
+    },
+    {
+      "entropy": 5.227044200897216,
+      "epoch": 8.388566694283346,
+      "grad_norm": 1.2890625,
+      "learning_rate": 8.317266172148145e-05,
+      "loss": 4.4,
+      "mean_token_accuracy": 0.24424718767404557,
+      "num_tokens": 18458105.0,
+      "step": 10125
+    },
+    {
+      "entropy": 5.222586965560913,
+      "epoch": 8.392709196354598,
+      "grad_norm": 1.5078125,
+      "learning_rate": 8.300584888705709e-05,
+      "loss": 4.4574,
+      "mean_token_accuracy": 0.23139263391494752,
+      "num_tokens": 18466975.0,
+      "step": 10130
+    },
+    {
+      "entropy": 5.1690774917602536,
+      "epoch": 8.396851698425849,
+      "grad_norm": 1.34375,
+      "learning_rate": 8.283942332581644e-05,
+      "loss": 4.3477,
+      "mean_token_accuracy": 0.25254258811473845,
+      "num_tokens": 18475543.0,
+      "step": 10135
+    },
+    {
+      "entropy": 5.1052000522613525,
+      "epoch": 8.4009942004971,
+      "grad_norm": 1.3515625,
+      "learning_rate": 8.267338537345792e-05,
+      "loss": 4.3078,
+      "mean_token_accuracy": 0.2526886507868767,
+      "num_tokens": 18484399.0,
+      "step": 10140
+    },
+    {
+      "entropy": 5.153526496887207,
+      "epoch": 8.40513670256835,
+      "grad_norm": 1.53125,
+      "learning_rate": 8.250773536489833e-05,
+      "loss": 4.4435,
+      "mean_token_accuracy": 0.22786851227283478,
+      "num_tokens": 18493168.0,
+      "step": 10145
+    },
+    {
+      "entropy": 5.12832818031311,
+      "epoch": 8.409279204639603,
+      "grad_norm": 1.328125,
+      "learning_rate": 8.234247363427174e-05,
+      "loss": 4.4062,
+      "mean_token_accuracy": 0.23227766901254654,
+      "num_tokens": 18502624.0,
+      "step": 10150
+    },
+    {
+      "entropy": 5.1949280261993405,
+      "epoch": 8.413421706710853,
+      "grad_norm": 1.4296875,
+      "learning_rate": 8.217760051492926e-05,
+      "loss": 4.3773,
+      "mean_token_accuracy": 0.24500519186258315,
+      "num_tokens": 18510990.0,
+      "step": 10155
+    },
+    {
+      "entropy": 5.185572957992553,
+      "epoch": 8.417564208782105,
+      "grad_norm": 1.421875,
+      "learning_rate": 8.201311633943788e-05,
+      "loss": 4.3771,
+      "mean_token_accuracy": 0.23713377714157105,
+      "num_tokens": 18519490.0,
+      "step": 10160
+    },
+    {
+      "entropy": 5.2189507484436035,
+      "epoch": 8.421706710853355,
+      "grad_norm": 1.375,
+      "learning_rate": 8.184902143958013e-05,
+      "loss": 4.423,
+      "mean_token_accuracy": 0.2332186371088028,
+      "num_tokens": 18528827.0,
+      "step": 10165
+    },
+    {
+      "entropy": 5.175855875015259,
+      "epoch": 8.425849212924607,
+      "grad_norm": 1.53125,
+      "learning_rate": 8.168531614635347e-05,
+      "loss": 4.4199,
+      "mean_token_accuracy": 0.23608411699533463,
+      "num_tokens": 18537592.0,
+      "step": 10170
+    },
+    {
+      "entropy": 5.2588996410369875,
+      "epoch": 8.429991714995857,
+      "grad_norm": 1.453125,
+      "learning_rate": 8.152200078996924e-05,
+      "loss": 4.5155,
+      "mean_token_accuracy": 0.23638325929641724,
+      "num_tokens": 18547253.0,
+      "step": 10175
+    },
+    {
+      "entropy": 5.2214000701904295,
+      "epoch": 8.434134217067108,
+      "grad_norm": 1.4609375,
+      "learning_rate": 8.135907569985248e-05,
+      "loss": 4.4527,
+      "mean_token_accuracy": 0.23231977820396424,
+      "num_tokens": 18556658.0,
+      "step": 10180
+    },
+    {
+      "entropy": 5.200859260559082,
+      "epoch": 8.43827671913836,
+      "grad_norm": 1.3359375,
+      "learning_rate": 8.119654120464077e-05,
+      "loss": 4.3935,
+      "mean_token_accuracy": 0.2399752229452133,
+      "num_tokens": 18565594.0,
+      "step": 10185
+    },
+    {
+      "entropy": 5.211322498321533,
+      "epoch": 8.44241922120961,
+      "grad_norm": 1.53125,
+      "learning_rate": 8.103439763218411e-05,
+      "loss": 4.4234,
+      "mean_token_accuracy": 0.2339351773262024,
+      "num_tokens": 18574033.0,
+      "step": 10190
+    },
+    {
+      "entropy": 5.202614641189575,
+      "epoch": 8.446561723280862,
+      "grad_norm": 1.453125,
+      "learning_rate": 8.087264530954362e-05,
+      "loss": 4.4269,
+      "mean_token_accuracy": 0.233833409845829,
+      "num_tokens": 18583064.0,
+      "step": 10195
+    },
+    {
+      "entropy": 5.293605899810791,
+      "epoch": 8.450704225352112,
+      "grad_norm": 1.3828125,
+      "learning_rate": 8.071128456299159e-05,
+      "loss": 4.5161,
+      "mean_token_accuracy": 0.2285238817334175,
+      "num_tokens": 18591910.0,
+      "step": 10200
+    },
+    {
+      "entropy": 5.248147439956665,
+      "epoch": 8.454846727423364,
+      "grad_norm": 1.5078125,
+      "learning_rate": 8.055031571801013e-05,
+      "loss": 4.42,
+      "mean_token_accuracy": 0.24132785946130753,
+      "num_tokens": 18600880.0,
+      "step": 10205
+    },
+    {
+      "entropy": 5.328955936431885,
+      "epoch": 8.458989229494614,
+      "grad_norm": 1.5703125,
+      "learning_rate": 8.038973909929112e-05,
+      "loss": 4.6032,
+      "mean_token_accuracy": 0.22523417323827744,
+      "num_tokens": 18610407.0,
+      "step": 10210
+    },
+    {
+      "entropy": 5.234103345870972,
+      "epoch": 8.463131731565866,
+      "grad_norm": 1.4921875,
+      "learning_rate": 8.022955503073502e-05,
+      "loss": 4.468,
+      "mean_token_accuracy": 0.23666063845157623,
+      "num_tokens": 18620166.0,
+      "step": 10215
+    },
+    {
+      "entropy": 5.195783424377441,
+      "epoch": 8.467274233637117,
+      "grad_norm": 1.5,
+      "learning_rate": 8.006976383545071e-05,
+      "loss": 4.3991,
+      "mean_token_accuracy": 0.23298656940460205,
+      "num_tokens": 18628851.0,
+      "step": 10220
+    },
+    {
+      "entropy": 5.20527925491333,
+      "epoch": 8.471416735708369,
+      "grad_norm": 1.4609375,
+      "learning_rate": 7.991036583575448e-05,
+      "loss": 4.4305,
+      "mean_token_accuracy": 0.24241199791431428,
+      "num_tokens": 18637921.0,
+      "step": 10225
+    },
+    {
+      "entropy": 5.195417594909668,
+      "epoch": 8.475559237779619,
+      "grad_norm": 1.34375,
+      "learning_rate": 7.975136135316941e-05,
+      "loss": 4.3642,
+      "mean_token_accuracy": 0.24671109169721603,
+      "num_tokens": 18647291.0,
+      "step": 10230
+    },
+    {
+      "entropy": 5.1769211769104,
+      "epoch": 8.47970173985087,
+      "grad_norm": 1.453125,
+      "learning_rate": 7.959275070842502e-05,
+      "loss": 4.3915,
+      "mean_token_accuracy": 0.23937203139066696,
+      "num_tokens": 18656252.0,
+      "step": 10235
+    },
+    {
+      "entropy": 5.176210403442383,
+      "epoch": 8.483844241922121,
+      "grad_norm": 1.3125,
+      "learning_rate": 7.943453422145626e-05,
+      "loss": 4.417,
+      "mean_token_accuracy": 0.24022968858480453,
+      "num_tokens": 18666199.0,
+      "step": 10240
+    },
+    {
+      "entropy": 5.217723751068116,
+      "epoch": 8.487986743993371,
+      "grad_norm": 1.46875,
+      "learning_rate": 7.927671221140317e-05,
+      "loss": 4.4517,
+      "mean_token_accuracy": 0.23993866443634032,
+      "num_tokens": 18675573.0,
+      "step": 10245
+    },
+    {
+      "entropy": 5.252127313613892,
+      "epoch": 8.492129246064623,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.911928499660986e-05,
+      "loss": 4.4263,
+      "mean_token_accuracy": 0.237184576690197,
+      "num_tokens": 18684627.0,
+      "step": 10250
+    },
+    {
+      "entropy": 5.2742616653442385,
+      "epoch": 8.496271748135873,
+      "grad_norm": 1.296875,
+      "learning_rate": 7.896225289462426e-05,
+      "loss": 4.4702,
+      "mean_token_accuracy": 0.22651803195476533,
+      "num_tokens": 18694287.0,
+      "step": 10255
+    },
+    {
+      "entropy": 5.209424877166748,
+      "epoch": 8.500414250207125,
+      "grad_norm": 1.5546875,
+      "learning_rate": 7.880561622219735e-05,
+      "loss": 4.4389,
+      "mean_token_accuracy": 0.23508745133876802,
+      "num_tokens": 18704014.0,
+      "step": 10260
+    },
+    {
+      "entropy": 5.209544658660889,
+      "epoch": 8.504556752278376,
+      "grad_norm": 1.453125,
+      "learning_rate": 7.864937529528232e-05,
+      "loss": 4.4197,
+      "mean_token_accuracy": 0.24119794815778733,
+      "num_tokens": 18713030.0,
+      "step": 10265
+    },
+    {
+      "entropy": 5.262354707717895,
+      "epoch": 8.508699254349628,
+      "grad_norm": 1.5078125,
+      "learning_rate": 7.849353042903428e-05,
+      "loss": 4.4526,
+      "mean_token_accuracy": 0.24413182735443115,
+      "num_tokens": 18721911.0,
+      "step": 10270
+    },
+    {
+      "entropy": 5.194427108764648,
+      "epoch": 8.512841756420878,
+      "grad_norm": 1.3828125,
+      "learning_rate": 7.833808193780934e-05,
+      "loss": 4.3903,
+      "mean_token_accuracy": 0.24381678253412248,
+      "num_tokens": 18730688.0,
+      "step": 10275
+    },
+    {
+      "entropy": 5.237134313583374,
+      "epoch": 8.51698425849213,
+      "grad_norm": 1.2890625,
+      "learning_rate": 7.818303013516401e-05,
+      "loss": 4.4752,
+      "mean_token_accuracy": 0.23708440065383912,
+      "num_tokens": 18740214.0,
+      "step": 10280
+    },
+    {
+      "entropy": 5.19223198890686,
+      "epoch": 8.52112676056338,
+      "grad_norm": 1.453125,
+      "learning_rate": 7.802837533385482e-05,
+      "loss": 4.4394,
+      "mean_token_accuracy": 0.2367953270673752,
+      "num_tokens": 18748837.0,
+      "step": 10285
+    },
+    {
+      "entropy": 5.169844484329223,
+      "epoch": 8.525269262634632,
+      "grad_norm": 1.515625,
+      "learning_rate": 7.787411784583733e-05,
+      "loss": 4.3104,
+      "mean_token_accuracy": 0.248037089407444,
+      "num_tokens": 18757482.0,
+      "step": 10290
+    },
+    {
+      "entropy": 5.144911432266236,
+      "epoch": 8.529411764705882,
+      "grad_norm": 1.3671875,
+      "learning_rate": 7.772025798226582e-05,
+      "loss": 4.4084,
+      "mean_token_accuracy": 0.2401130571961403,
+      "num_tokens": 18766326.0,
+      "step": 10295
+    },
+    {
+      "entropy": 5.309397840499878,
+      "epoch": 8.533554266777134,
+      "grad_norm": 1.578125,
+      "learning_rate": 7.756679605349241e-05,
+      "loss": 4.5022,
+      "mean_token_accuracy": 0.2320367693901062,
+      "num_tokens": 18774287.0,
+      "step": 10300
+    },
+    {
+      "entropy": 5.217145586013794,
+      "epoch": 8.537696768848384,
+      "grad_norm": 1.25,
+      "learning_rate": 7.741373236906658e-05,
+      "loss": 4.484,
+      "mean_token_accuracy": 0.23230270594358443,
+      "num_tokens": 18785172.0,
+      "step": 10305
+    },
+    {
+      "entropy": 5.186282730102539,
+      "epoch": 8.541839270919635,
+      "grad_norm": 1.4609375,
+      "learning_rate": 7.726106723773452e-05,
+      "loss": 4.4807,
+      "mean_token_accuracy": 0.22887564748525618,
+      "num_tokens": 18794294.0,
+      "step": 10310
+    },
+    {
+      "entropy": 5.26285572052002,
+      "epoch": 8.545981772990887,
+      "grad_norm": 1.453125,
+      "learning_rate": 7.710880096743845e-05,
+      "loss": 4.4681,
+      "mean_token_accuracy": 0.2354227989912033,
+      "num_tokens": 18803108.0,
+      "step": 10315
+    },
+    {
+      "entropy": 5.212899780273437,
+      "epoch": 8.550124275062137,
+      "grad_norm": 1.5234375,
+      "learning_rate": 7.695693386531612e-05,
+      "loss": 4.4197,
+      "mean_token_accuracy": 0.24306773543357849,
+      "num_tokens": 18811215.0,
+      "step": 10320
+    },
+    {
+      "entropy": 5.214504623413086,
+      "epoch": 8.554266777133389,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.680546623770001e-05,
+      "loss": 4.5113,
+      "mean_token_accuracy": 0.23043400049209595,
+      "num_tokens": 18820796.0,
+      "step": 10325
+    },
+    {
+      "entropy": 5.33404221534729,
+      "epoch": 8.55840927920464,
+      "grad_norm": 1.40625,
+      "learning_rate": 7.665439839011701e-05,
+      "loss": 4.554,
+      "mean_token_accuracy": 0.21822466552257538,
+      "num_tokens": 18830673.0,
+      "step": 10330
+    },
+    {
+      "entropy": 5.219755029678344,
+      "epoch": 8.562551781275891,
+      "grad_norm": 1.515625,
+      "learning_rate": 7.650373062728735e-05,
+      "loss": 4.4567,
+      "mean_token_accuracy": 0.23806945085525513,
+      "num_tokens": 18839898.0,
+      "step": 10335
+    },
+    {
+      "entropy": 5.2029930591583256,
+      "epoch": 8.566694283347141,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.635346325312437e-05,
+      "loss": 4.3957,
+      "mean_token_accuracy": 0.24061628580093383,
+      "num_tokens": 18848380.0,
+      "step": 10340
+    },
+    {
+      "entropy": 5.183950519561767,
+      "epoch": 8.570836785418393,
+      "grad_norm": 1.4765625,
+      "learning_rate": 7.62035965707339e-05,
+      "loss": 4.3698,
+      "mean_token_accuracy": 0.23951665312051773,
+      "num_tokens": 18857157.0,
+      "step": 10345
+    },
+    {
+      "entropy": 5.218787288665771,
+      "epoch": 8.574979287489644,
+      "grad_norm": 1.4296875,
+      "learning_rate": 7.605413088241325e-05,
+      "loss": 4.4386,
+      "mean_token_accuracy": 0.23871394395828247,
+      "num_tokens": 18866544.0,
+      "step": 10350
+    },
+    {
+      "entropy": 5.245972967147827,
+      "epoch": 8.579121789560896,
+      "grad_norm": 1.390625,
+      "learning_rate": 7.59050664896512e-05,
+      "loss": 4.4763,
+      "mean_token_accuracy": 0.23758894056081772,
+      "num_tokens": 18876052.0,
+      "step": 10355
+    },
+    {
+      "entropy": 5.173453092575073,
+      "epoch": 8.583264291632146,
+      "grad_norm": 1.5390625,
+      "learning_rate": 7.575640369312684e-05,
+      "loss": 4.3606,
+      "mean_token_accuracy": 0.24585366398096084,
+      "num_tokens": 18885141.0,
+      "step": 10360
+    },
+    {
+      "entropy": 5.170973825454712,
+      "epoch": 8.587406793703398,
+      "grad_norm": 1.5,
+      "learning_rate": 7.560814279270928e-05,
+      "loss": 4.3688,
+      "mean_token_accuracy": 0.2500849083065987,
+      "num_tokens": 18893108.0,
+      "step": 10365
+    },
+    {
+      "entropy": 5.223328018188477,
+      "epoch": 8.591549295774648,
+      "grad_norm": 1.4921875,
+      "learning_rate": 7.5460284087457e-05,
+      "loss": 4.4345,
+      "mean_token_accuracy": 0.24185387045145035,
+      "num_tokens": 18901436.0,
+      "step": 10370
+    },
+    {
+      "entropy": 5.210998106002807,
+      "epoch": 8.595691797845898,
+      "grad_norm": 1.3671875,
+      "learning_rate": 7.53128278756171e-05,
+      "loss": 4.4018,
+      "mean_token_accuracy": 0.24778844714164733,
+      "num_tokens": 18910057.0,
+      "step": 10375
+    },
+    {
+      "entropy": 5.1040510654449465,
+      "epoch": 8.59983429991715,
+      "grad_norm": 1.3828125,
+      "learning_rate": 7.516577445462493e-05,
+      "loss": 4.3,
+      "mean_token_accuracy": 0.24971302300691606,
+      "num_tokens": 18918270.0,
+      "step": 10380
+    },
+    {
+      "entropy": 5.231306409835815,
+      "epoch": 8.6039768019884,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.501912412110331e-05,
+      "loss": 4.4845,
+      "mean_token_accuracy": 0.23085562586784364,
+      "num_tokens": 18928202.0,
+      "step": 10385
+    },
+    {
+      "entropy": 5.2012535572052006,
+      "epoch": 8.608119304059652,
+      "grad_norm": 1.484375,
+      "learning_rate": 7.487287717086193e-05,
+      "loss": 4.4517,
+      "mean_token_accuracy": 0.23962246477603913,
+      "num_tokens": 18937837.0,
+      "step": 10390
+    },
+    {
+      "entropy": 5.208834791183472,
+      "epoch": 8.612261806130903,
+      "grad_norm": 1.4296875,
+      "learning_rate": 7.472703389889695e-05,
+      "loss": 4.4011,
+      "mean_token_accuracy": 0.24069707244634628,
+      "num_tokens": 18946391.0,
+      "step": 10395
+    },
+    {
+      "entropy": 5.2311876773834225,
+      "epoch": 8.616404308202155,
+      "grad_norm": 1.390625,
+      "learning_rate": 7.458159459939007e-05,
+      "loss": 4.4489,
+      "mean_token_accuracy": 0.23659338057041168,
+      "num_tokens": 18955269.0,
+      "step": 10400
+    },
+    {
+      "entropy": 5.190009307861328,
+      "epoch": 8.620546810273405,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.443655956570842e-05,
+      "loss": 4.3755,
+      "mean_token_accuracy": 0.24546574354171752,
+      "num_tokens": 18964030.0,
+      "step": 10405
+    },
+    {
+      "entropy": 5.1890928745269775,
+      "epoch": 8.624689312344657,
+      "grad_norm": 1.359375,
+      "learning_rate": 7.429192909040339e-05,
+      "loss": 4.3809,
+      "mean_token_accuracy": 0.2469545379281044,
+      "num_tokens": 18973690.0,
+      "step": 10410
+    },
+    {
+      "entropy": 5.18334994316101,
+      "epoch": 8.628831814415907,
+      "grad_norm": 1.5,
+      "learning_rate": 7.414770346521043e-05,
+      "loss": 4.3623,
+      "mean_token_accuracy": 0.24696797430515288,
+      "num_tokens": 18981339.0,
+      "step": 10415
+    },
+    {
+      "entropy": 5.2303839206695555,
+      "epoch": 8.632974316487159,
+      "grad_norm": 1.5625,
+      "learning_rate": 7.400388298104851e-05,
+      "loss": 4.4068,
+      "mean_token_accuracy": 0.2369140088558197,
+      "num_tokens": 18990141.0,
+      "step": 10420
+    },
+    {
+      "entropy": 5.159129667282104,
+      "epoch": 8.63711681855841,
+      "grad_norm": 1.3984375,
+      "learning_rate": 7.386046792801911e-05,
+      "loss": 4.3986,
+      "mean_token_accuracy": 0.24463264495134354,
+      "num_tokens": 18999217.0,
+      "step": 10425
+    },
+    {
+      "entropy": 5.21497597694397,
+      "epoch": 8.64125932062966,
+      "grad_norm": 1.6640625,
+      "learning_rate": 7.371745859540622e-05,
+      "loss": 4.478,
+      "mean_token_accuracy": 0.23663176596164703,
+      "num_tokens": 19008554.0,
+      "step": 10430
+    },
+    {
+      "entropy": 5.173939180374146,
+      "epoch": 8.645401822700912,
+      "grad_norm": 1.40625,
+      "learning_rate": 7.357485527167522e-05,
+      "loss": 4.4008,
+      "mean_token_accuracy": 0.24518686681985855,
+      "num_tokens": 19018159.0,
+      "step": 10435
+    },
+    {
+      "entropy": 5.206839847564697,
+      "epoch": 8.649544324772162,
+      "grad_norm": 1.5625,
+      "learning_rate": 7.343265824447254e-05,
+      "loss": 4.3876,
+      "mean_token_accuracy": 0.23844624310731888,
+      "num_tokens": 19026985.0,
+      "step": 10440
+    },
+    {
+      "entropy": 5.248799228668213,
+      "epoch": 8.653686826843414,
+      "grad_norm": 1.3671875,
+      "learning_rate": 7.329086780062522e-05,
+      "loss": 4.4566,
+      "mean_token_accuracy": 0.2319045841693878,
+      "num_tokens": 19036745.0,
+      "step": 10445
+    },
+    {
+      "entropy": 5.184232616424561,
+      "epoch": 8.657829328914664,
+      "grad_norm": 1.390625,
+      "learning_rate": 7.314948422613998e-05,
+      "loss": 4.3972,
+      "mean_token_accuracy": 0.24480258375406266,
+      "num_tokens": 19045200.0,
+      "step": 10450
+    },
+    {
+      "entropy": 5.22222671508789,
+      "epoch": 8.661971830985916,
+      "grad_norm": 1.5703125,
+      "learning_rate": 7.30085078062031e-05,
+      "loss": 4.3972,
+      "mean_token_accuracy": 0.24710927307605743,
+      "num_tokens": 19054102.0,
+      "step": 10455
+    },
+    {
+      "entropy": 5.227342224121093,
+      "epoch": 8.666114333057166,
+      "grad_norm": 1.3828125,
+      "learning_rate": 7.286793882517922e-05,
+      "loss": 4.4817,
+      "mean_token_accuracy": 0.23506841957569122,
+      "num_tokens": 19062895.0,
+      "step": 10460
+    },
+    {
+      "entropy": 5.171539640426635,
+      "epoch": 8.670256835128418,
+      "grad_norm": 1.484375,
+      "learning_rate": 7.272777756661152e-05,
+      "loss": 4.3649,
+      "mean_token_accuracy": 0.24760980010032654,
+      "num_tokens": 19071523.0,
+      "step": 10465
+    },
+    {
+      "entropy": 5.185952615737915,
+      "epoch": 8.674399337199668,
+      "grad_norm": 1.4765625,
+      "learning_rate": 7.258802431322047e-05,
+      "loss": 4.4121,
+      "mean_token_accuracy": 0.23732124269008636,
+      "num_tokens": 19080765.0,
+      "step": 10470
+    },
+    {
+      "entropy": 5.252375984191895,
+      "epoch": 8.67854183927092,
+      "grad_norm": 1.3359375,
+      "learning_rate": 7.244867934690364e-05,
+      "loss": 4.4613,
+      "mean_token_accuracy": 0.2323843464255333,
+      "num_tokens": 19089871.0,
+      "step": 10475
+    },
+    {
+      "entropy": 5.187610292434693,
+      "epoch": 8.68268434134217,
+      "grad_norm": 1.3828125,
+      "learning_rate": 7.230974294873513e-05,
+      "loss": 4.3838,
+      "mean_token_accuracy": 0.24054025560617448,
+      "num_tokens": 19098928.0,
+      "step": 10480
+    },
+    {
+      "entropy": 5.245558977127075,
+      "epoch": 8.68682684341342,
+      "grad_norm": 1.3984375,
+      "learning_rate": 7.217121539896476e-05,
+      "loss": 4.4835,
+      "mean_token_accuracy": 0.23271409273147584,
+      "num_tokens": 19107795.0,
+      "step": 10485
+    },
+    {
+      "entropy": 5.311456537246704,
+      "epoch": 8.690969345484673,
+      "grad_norm": 1.46875,
+      "learning_rate": 7.203309697701784e-05,
+      "loss": 4.4991,
+      "mean_token_accuracy": 0.22682723701000213,
+      "num_tokens": 19117060.0,
+      "step": 10490
+    },
+    {
+      "entropy": 5.217403793334961,
+      "epoch": 8.695111847555923,
+      "grad_norm": 1.4609375,
+      "learning_rate": 7.189538796149424e-05,
+      "loss": 4.4537,
+      "mean_token_accuracy": 0.2290256530046463,
+      "num_tokens": 19126876.0,
+      "step": 10495
+    },
+    {
+      "entropy": 5.315350341796875,
+      "epoch": 8.699254349627175,
+      "grad_norm": 1.3671875,
+      "learning_rate": 7.175808863016806e-05,
+      "loss": 4.5203,
+      "mean_token_accuracy": 0.22548595070838928,
+      "num_tokens": 19136888.0,
+      "step": 10500
+    },
+    {
+      "epoch": 8.699254349627175,
+      "eval_entropy": 5.119190056440927,
+      "eval_loss": 5.7212605476379395,
+      "eval_mean_token_accuracy": 0.16961656545779344,
+      "eval_num_tokens": 19136888.0,
+      "eval_runtime": 2.752,
+      "eval_samples_per_second": 1361.551,
+      "eval_steps_per_second": 170.421,
+      "step": 10500
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 12060,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 2.8558289265408e+16,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}
diff --git a/checkpoint-10500/training_args.bin b/checkpoint-10500/training_args.bin
new file mode 100644
index 0000000..47a7b32
--- /dev/null
+++ b/checkpoint-10500/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e406e906697be5d5c4bea7f90a038122ca162eb6b7e40512a32661ef55af9075
+size 6353
diff --git a/checkpoint-11000/added_tokens.json b/checkpoint-11000/added_tokens.json
new file mode 100644
index 0000000..b3dbcdb
--- /dev/null
+++ b/checkpoint-11000/added_tokens.json
@@ -0,0 +1,1202 @@
+{
+  "<pad>": 50002,
+  "[CLS]": 50000,
+  "[MASK]": 50003,
+  "[SEP]": 50001,
+  "[XXXXX0]": 50771,
+  "[XXXXX1000]": 50549,
+  "[XXXXX1001]": 50657,
+  "[XXXXX1002]": 51158,
+  "[XXXXX1003]": 51044,
+  "[XXXXX1004]": 50688,
+  "[XXXXX1005]": 50689,
+  "[XXXXX1006]": 50410,
+  "[XXXXX1007]": 50724,
+  "[XXXXX1008]": 50171,
+  "[XXXXX1009]": 51077,
+  "[XXXXX100]": 50091,
+  "[XXXXX1010]": 50639,
+  "[XXXXX1011]": 51094,
+  "[XXXXX1012]": 50392,
+  "[XXXXX1013]": 50626,
+  "[XXXXX1014]": 50991,
+  "[XXXXX1015]": 50529,
+  "[XXXXX1016]": 51193,
+  "[XXXXX1017]": 51073,
+  "[XXXXX1018]": 51104,
+  "[XXXXX1019]": 50775,
+  "[XXXXX101]": 50139,
+  "[XXXXX1020]": 50157,
+  "[XXXXX1021]": 50934,
+  "[XXXXX1022]": 51159,
+  "[XXXXX1023]": 50048,
+  "[XXXXX1024]": 51123,
+  "[XXXXX1025]": 50084,
+  "[XXXXX1026]": 50813,
+  "[XXXXX1027]": 50725,
+  "[XXXXX1028]": 50931,
+  "[XXXXX1029]": 50233,
+  "[XXXXX102]": 50213,
+  "[XXXXX1030]": 51023,
+  "[XXXXX1031]": 50098,
+  "[XXXXX1032]": 50802,
+  "[XXXXX1033]": 50061,
+  "[XXXXX1034]": 51139,
+  "[XXXXX1035]": 51110,
+  "[XXXXX1036]": 50204,
+  "[XXXXX1037]": 50023,
+  "[XXXXX1038]": 50142,
+  "[XXXXX1039]": 50328,
+  "[XXXXX103]": 50087,
+  "[XXXXX1040]": 50435,
+  "[XXXXX1041]": 50489,
+  "[XXXXX1042]": 50216,
+  "[XXXXX1043]": 50144,
+  "[XXXXX1044]": 50832,
+  "[XXXXX1045]": 50566,
+  "[XXXXX1046]": 50922,
+  "[XXXXX1047]": 50796,
+  "[XXXXX1048]": 50533,
+  "[XXXXX1049]": 50433,
+  "[XXXXX104]": 50478,
+  "[XXXXX1050]": 50953,
+  "[XXXXX1051]": 50497,
+  "[XXXXX1052]": 50655,
+  "[XXXXX1053]": 50881,
+  "[XXXXX1054]": 50461,
+  "[XXXXX1055]": 50052,
+  "[XXXXX1056]": 50219,
+  "[XXXXX1057]": 50789,
+  "[XXXXX1058]": 50121,
+  "[XXXXX1059]": 51002,
+  "[XXXXX105]": 51192,
+  "[XXXXX1060]": 50158,
+  "[XXXXX1061]": 50352,
+  "[XXXXX1062]": 50637,
+  "[XXXXX1063]": 50440,
+  "[XXXXX1064]": 50590,
+  "[XXXXX1065]": 51107,
+  "[XXXXX1066]": 50758,
+  "[XXXXX1067]": 51011,
+  "[XXXXX1068]": 50985,
+  "[XXXXX1069]": 51175,
+  "[XXXXX106]": 50532,
+  "[XXXXX1070]": 50790,
+  "[XXXXX1071]": 50394,
+  "[XXXXX1072]": 50852,
+  "[XXXXX1073]": 50869,
+  "[XXXXX1074]": 50126,
+  "[XXXXX1075]": 50783,
+  "[XXXXX1076]": 50806,
+  "[XXXXX1077]": 50882,
+  "[XXXXX1078]": 50726,
+  "[XXXXX1079]": 51010,
+  "[XXXXX107]": 50714,
+  "[XXXXX1080]": 50168,
+  "[XXXXX1081]": 50425,
+  "[XXXXX1082]": 50848,
+  "[XXXXX1083]": 50014,
+  "[XXXXX1084]": 50341,
+  "[XXXXX1085]": 50734,
+  "[XXXXX1086]": 50664,
+  "[XXXXX1087]": 51007,
+  "[XXXXX1088]": 51151,
+  "[XXXXX1089]": 50269,
+  "[XXXXX108]": 50996,
+  "[XXXXX1090]": 50826,
+  "[XXXXX1091]": 51105,
+  "[XXXXX1092]": 50731,
+  "[XXXXX1093]": 50856,
+  "[XXXXX1094]": 50369,
+  "[XXXXX1095]": 50065,
+  "[XXXXX1096]": 50309,
+  "[XXXXX1097]": 50838,
+  "[XXXXX1098]": 50451,
+  "[XXXXX1099]": 50384,
+  "[XXXXX109]": 50543,
+  "[XXXXX10]": 50325,
+  "[XXXXX1100]": 50318,
+  "[XXXXX1101]": 50764,
+  "[XXXXX1102]": 51025,
+  "[XXXXX1103]": 50642,
+  "[XXXXX1104]": 50665,
+  "[XXXXX1105]": 50855,
+  "[XXXXX1106]": 51063,
+  "[XXXXX1107]": 50025,
+  "[XXXXX1108]": 50122,
+  "[XXXXX1109]": 50470,
+  "[XXXXX110]": 50062,
+  "[XXXXX1110]": 51019,
+  "[XXXXX1111]": 51124,
+  "[XXXXX1112]": 50146,
+  "[XXXXX1113]": 51125,
+  "[XXXXX1114]": 50434,
+  "[XXXXX1115]": 50818,
+  "[XXXXX1116]": 50960,
+  "[XXXXX1117]": 50258,
+  "[XXXXX1118]": 50596,
+  "[XXXXX1119]": 50083,
+  "[XXXXX111]": 51064,
+  "[XXXXX1120]": 50915,
+  "[XXXXX1121]": 50835,
+  "[XXXXX1122]": 51056,
+  "[XXXXX1123]": 50172,
+  "[XXXXX1124]": 50972,
+  "[XXXXX1125]": 50275,
+  "[XXXXX1126]": 50430,
+  "[XXXXX1127]": 50743,
+  "[XXXXX1128]": 50551,
+  "[XXXXX1129]": 50439,
+  "[XXXXX112]": 50819,
+  "[XXXXX1130]": 50536,
+  "[XXXXX1131]": 50622,
+  "[XXXXX1132]": 50623,
+  "[XXXXX1133]": 50117,
+  "[XXXXX1134]": 50251,
+  "[XXXXX1135]": 50678,
+  "[XXXXX1136]": 50316,
+  "[XXXXX1137]": 50905,
+  "[XXXXX1138]": 50992,
+  "[XXXXX1139]": 50851,
+  "[XXXXX113]": 50443,
+  "[XXXXX1140]": 50499,
+  "[XXXXX1141]": 50629,
+  "[XXXXX1142]": 50944,
+  "[XXXXX1143]": 50373,
+  "[XXXXX1144]": 50123,
+  "[XXXXX1145]": 50173,
+  "[XXXXX1146]": 50891,
+  "[XXXXX1147]": 50471,
+  "[XXXXX1148]": 50560,
+  "[XXXXX1149]": 50541,
+  "[XXXXX114]": 50631,
+  "[XXXXX1150]": 50033,
+  "[XXXXX1151]": 50063,
+  "[XXXXX1152]": 50767,
+  "[XXXXX1153]": 50897,
+  "[XXXXX1154]": 50568,
+  "[XXXXX1155]": 51131,
+  "[XXXXX1156]": 50009,
+  "[XXXXX1157]": 50417,
+  "[XXXXX1158]": 50477,
+  "[XXXXX1159]": 50941,
+  "[XXXXX115]": 50294,
+  "[XXXXX1160]": 50679,
+  "[XXXXX1161]": 51108,
+  "[XXXXX1162]": 50332,
+  "[XXXXX1163]": 50424,
+  "[XXXXX1164]": 50473,
+  "[XXXXX1165]": 50793,
+  "[XXXXX1166]": 50453,
+  "[XXXXX1167]": 50807,
+  "[XXXXX1168]": 50128,
+  "[XXXXX1169]": 50039,
+  "[XXXXX116]": 50759,
+  "[XXXXX1170]": 50735,
+  "[XXXXX1171]": 50366,
+  "[XXXXX1172]": 50808,
+  "[XXXXX1173]": 50426,
+  "[XXXXX1174]": 50076,
+  "[XXXXX1175]": 50943,
+  "[XXXXX1176]": 50252,
+  "[XXXXX1177]": 50999,
+  "[XXXXX1178]": 50264,
+  "[XXXXX1179]": 50607,
+  "[XXXXX117]": 51036,
+  "[XXXXX1180]": 50986,
+  "[XXXXX1181]": 50744,
+  "[XXXXX1182]": 50186,
+  "[XXXXX1183]": 50555,
+  "[XXXXX1184]": 51076,
+  "[XXXXX1185]": 50849,
+  "[XXXXX1186]": 51128,
+  "[XXXXX1187]": 50858,
+  "[XXXXX1188]": 50656,
+  "[XXXXX1189]": 50064,
+  "[XXXXX118]": 50081,
+  "[XXXXX1190]": 51197,
+  "[XXXXX1191]": 50104,
+  "[XXXXX1192]": 50045,
+  "[XXXXX1193]": 50404,
+  "[XXXXX1194]": 50690,
+  "[XXXXX1195]": 50495,
+  "[XXXXX119]": 50108,
+  "[XXXXX11]": 50976,
+  "[XXXXX120]": 51081,
+  "[XXXXX121]": 50464,
+  "[XXXXX122]": 50829,
+  "[XXXXX123]": 50766,
+  "[XXXXX124]": 50732,
+  "[XXXXX125]": 50221,
+  "[XXXXX126]": 50810,
+  "[XXXXX127]": 50130,
+  "[XXXXX128]": 50751,
+  "[XXXXX129]": 50662,
+  "[XXXXX12]": 50602,
+  "[XXXXX130]": 50035,
+  "[XXXXX131]": 50715,
+  "[XXXXX132]": 50340,
+  "[XXXXX133]": 50563,
+  "[XXXXX134]": 50993,
+  "[XXXXX135]": 50304,
+  "[XXXXX136]": 50131,
+  "[XXXXX137]": 50578,
+  "[XXXXX138]": 50757,
+  "[XXXXX139]": 50582,
+  "[XXXXX13]": 50105,
+  "[XXXXX140]": 50085,
+  "[XXXXX141]": 50553,
+  "[XXXXX142]": 50749,
+  "[XXXXX143]": 50351,
+  "[XXXXX144]": 51024,
+  "[XXXXX145]": 51144,
+  "[XXXXX146]": 50042,
+  "[XXXXX147]": 50145,
+  "[XXXXX148]": 50066,
+  "[XXXXX149]": 50876,
+  "[XXXXX14]": 51006,
+  "[XXXXX150]": 50280,
+  "[XXXXX151]": 50093,
+  "[XXXXX152]": 50638,
+  "[XXXXX153]": 50684,
+  "[XXXXX154]": 50820,
+  "[XXXXX155]": 51196,
+  "[XXXXX156]": 50317,
+  "[XXXXX157]": 50284,
+  "[XXXXX158]": 50288,
+  "[XXXXX159]": 50814,
+  "[XXXXX15]": 50608,
+  "[XXXXX160]": 50004,
+  "[XXXXX161]": 50008,
+  "[XXXXX162]": 50377,
+  "[XXXXX163]": 50214,
+  "[XXXXX164]": 50708,
+  "[XXXXX165]": 50390,
+  "[XXXXX166]": 50741,
+  "[XXXXX167]": 50445,
+  "[XXXXX168]": 50936,
+  "[XXXXX169]": 50896,
+  "[XXXXX16]": 50442,
+  "[XXXXX170]": 50109,
+  "[XXXXX171]": 50140,
+  "[XXXXX172]": 50427,
+  "[XXXXX173]": 51074,
+  "[XXXXX174]": 50162,
+  "[XXXXX175]": 51015,
+  "[XXXXX176]": 50524,
+  "[XXXXX177]": 50673,
+  "[XXXXX178]": 50054,
+  "[XXXXX179]": 50805,
+  "[XXXXX17]": 50482,
+  "[XXXXX180]": 50253,
+  "[XXXXX181]": 50493,
+  "[XXXXX182]": 50421,
+  "[XXXXX183]": 51050,
+  "[XXXXX184]": 50521,
+  "[XXXXX185]": 50188,
+  "[XXXXX186]": 50147,
+  "[XXXXX187]": 50201,
+  "[XXXXX188]": 50973,
+  "[XXXXX189]": 50409,
+  "[XXXXX18]": 50115,
+  "[XXXXX190]": 50051,
+  "[XXXXX191]": 51020,
+  "[XXXXX192]": 51047,
+  "[XXXXX193]": 50669,
+  "[XXXXX194]": 50643,
+  "[XXXXX195]": 50159,
+  "[XXXXX196]": 50649,
+  "[XXXXX197]": 51178,
+  "[XXXXX198]": 50043,
+  "[XXXXX199]": 51147,
+  "[XXXXX19]": 51127,
+  "[XXXXX1]": 51114,
+  "[XXXXX200]": 50840,
+  "[XXXXX201]": 50365,
+  "[XXXXX202]": 50232,
+  "[XXXXX203]": 50241,
+  "[XXXXX204]": 50548,
+  "[XXXXX205]": 50781,
+  "[XXXXX206]": 50923,
+  "[XXXXX207]": 51115,
+  "[XXXXX208]": 50344,
+  "[XXXXX209]": 50299,
+  "[XXXXX20]": 51031,
+  "[XXXXX210]": 51179,
+  "[XXXXX211]": 51163,
+  "[XXXXX212]": 50562,
+  "[XXXXX213]": 50094,
+  "[XXXXX214]": 50257,
+  "[XXXXX215]": 50967,
+  "[XXXXX216]": 50523,
+  "[XXXXX217]": 51132,
+  "[XXXXX218]": 51146,
+  "[XXXXX219]": 50411,
+  "[XXXXX21]": 50354,
+  "[XXXXX220]": 50853,
+  "[XXXXX221]": 50886,
+  "[XXXXX222]": 50600,
+  "[XXXXX223]": 50873,
+  "[XXXXX224]": 50416,
+  "[XXXXX225]": 50675,
+  "[XXXXX226]": 50583,
+  "[XXXXX227]": 50151,
+  "[XXXXX228]": 50927,
+  "[XXXXX229]": 50609,
+  "[XXXXX22]": 50589,
+  "[XXXXX230]": 50238,
+  "[XXXXX231]": 50242,
+  "[XXXXX232]": 51016,
+  "[XXXXX233]": 50406,
+  "[XXXXX234]": 50908,
+  "[XXXXX235]": 50024,
+  "[XXXXX236]": 50270,
+  "[XXXXX237]": 50132,
+  "[XXXXX238]": 50800,
+  "[XXXXX239]": 50236,
+  "[XXXXX23]": 50007,
+  "[XXXXX240]": 50005,
+  "[XXXXX241]": 50894,
+  "[XXXXX242]": 50694,
+  "[XXXXX243]": 51071,
+  "[XXXXX244]": 51017,
+  "[XXXXX245]": 50068,
+  "[XXXXX246]": 50682,
+  "[XXXXX247]": 50913,
+  "[XXXXX248]": 51028,
+  "[XXXXX249]": 50037,
+  "[XXXXX24]": 51169,
+  "[XXXXX250]": 50747,
+  "[XXXXX251]": 50947,
+  "[XXXXX252]": 50329,
+  "[XXXXX253]": 50612,
+  "[XXXXX254]": 50110,
+  "[XXXXX255]": 50824,
+  "[XXXXX256]": 50558,
+  "[XXXXX257]": 50969,
+  "[XXXXX258]": 50729,
+  "[XXXXX259]": 50125,
+  "[XXXXX25]": 51160,
+  "[XXXXX260]": 50040,
+  "[XXXXX261]": 51038,
+  "[XXXXX262]": 50347,
+  "[XXXXX263]": 50740,
+  "[XXXXX264]": 51195,
+  "[XXXXX265]": 50879,
+  "[XXXXX266]": 50770,
+  "[XXXXX267]": 50178,
+  "[XXXXX268]": 50804,
+  "[XXXXX269]": 50906,
+  "[XXXXX26]": 50150,
+  "[XXXXX270]": 51191,
+  "[XXXXX271]": 50047,
+  "[XXXXX272]": 50195,
+  "[XXXXX273]": 50554,
+  "[XXXXX274]": 50833,
+  "[XXXXX275]": 50346,
+  "[XXXXX276]": 50950,
+  "[XXXXX277]": 50864,
+  "[XXXXX278]": 50259,
+  "[XXXXX279]": 50671,
+  "[XXXXX27]": 50468,
+  "[XXXXX280]": 50082,
+  "[XXXXX281]": 50565,
+  "[XXXXX282]": 50984,
+  "[XXXXX283]": 50650,
+  "[XXXXX284]": 50975,
+  "[XXXXX285]": 50603,
+  "[XXXXX286]": 50027,
+  "[XXXXX287]": 50181,
+  "[XXXXX288]": 50981,
+  "[XXXXX289]": 50885,
+  "[XXXXX28]": 50249,
+  "[XXXXX290]": 50522,
+  "[XXXXX291]": 50050,
+  "[XXXXX292]": 50313,
+  "[XXXXX293]": 50503,
+  "[XXXXX294]": 51176,
+  "[XXXXX295]": 51177,
+  "[XXXXX296]": 50379,
+  "[XXXXX297]": 50635,
+  "[XXXXX298]": 50723,
+  "[XXXXX299]": 50200,
+  "[XXXXX29]": 50892,
+  "[XXXXX2]": 51119,
+  "[XXXXX300]": 51026,
+  "[XXXXX301]": 50528,
+  "[XXXXX302]": 51149,
+  "[XXXXX303]": 50044,
+  "[XXXXX304]": 50209,
+  "[XXXXX305]": 50988,
+  "[XXXXX306]": 50518,
+  "[XXXXX307]": 50088,
+  "[XXXXX308]": 50733,
+  "[XXXXX309]": 51066,
+  "[XXXXX30]": 50506,
+  "[XXXXX310]": 50285,
+  "[XXXXX311]": 50859,
+  "[XXXXX312]": 50263,
+  "[XXXXX313]": 50594,
+  "[XXXXX314]": 51103,
+  "[XXXXX315]": 50871,
+  "[XXXXX316]": 50300,
+  "[XXXXX317]": 50760,
+  "[XXXXX318]": 50055,
+  "[XXXXX319]": 50389,
+  "[XXXXX31]": 50212,
+  "[XXXXX320]": 50444,
+  "[XXXXX321]": 50994,
+  "[XXXXX322]": 50281,
+  "[XXXXX323]": 50179,
+  "[XXXXX324]": 50455,
+  "[XXXXX325]": 50970,
+  "[XXXXX326]": 50666,
+  "[XXXXX327]": 50604,
+  "[XXXXX328]": 50627,
+  "[XXXXX329]": 50475,
+  "[XXXXX32]": 50277,
+  "[XXXXX330]": 50667,
+  "[XXXXX331]": 50348,
+  "[XXXXX332]": 50772,
+  "[XXXXX333]": 50163,
+  "[XXXXX334]": 50569,
+  "[XXXXX335]": 50018,
+  "[XXXXX336]": 50883,
+  "[XXXXX337]": 50067,
+  "[XXXXX338]": 51184,
+  "[XXXXX339]": 50997,
+  "[XXXXX33]": 50403,
+  "[XXXXX340]": 51013,
+  "[XXXXX341]": 50957,
+  "[XXXXX342]": 51106,
+  "[XXXXX343]": 51174,
+  "[XXXXX344]": 50391,
+  "[XXXXX345]": 50948,
+  "[XXXXX346]": 50180,
+  "[XXXXX347]": 50811,
+  "[XXXXX348]": 50401,
+  "[XXXXX349]": 50911,
+  "[XXXXX34]": 50223,
+  "[XXXXX350]": 51089,
+  "[XXXXX351]": 50777,
+  "[XXXXX352]": 50189,
+  "[XXXXX353]": 50492,
+  "[XXXXX354]": 50205,
+  "[XXXXX355]": 50374,
+  "[XXXXX356]": 51152,
+  "[XXXXX357]": 50695,
+  "[XXXXX358]": 51117,
+  "[XXXXX359]": 50573,
+  "[XXXXX35]": 50752,
+  "[XXXXX360]": 50955,
+  "[XXXXX361]": 50349,
+  "[XXXXX362]": 51137,
+  "[XXXXX363]": 50641,
+  "[XXXXX364]": 51148,
+  "[XXXXX365]": 50255,
+  "[XXXXX366]": 50310,
+  "[XXXXX367]": 50314,
+  "[XXXXX368]": 50971,
+  "[XXXXX369]": 50916,
+  "[XXXXX36]": 50437,
+  "[XXXXX370]": 51096,
+  "[XXXXX371]": 50557,
+  "[XXXXX372]": 51095,
+  "[XXXXX373]": 50382,
+  "[XXXXX374]": 50119,
+  "[XXXXX375]": 50958,
+  "[XXXXX376]": 50624,
+  "[XXXXX377]": 50483,
+  "[XXXXX378]": 50605,
+  "[XXXXX379]": 50017,
+  "[XXXXX37]": 50706,
+  "[XXXXX380]": 50246,
+  "[XXXXX381]": 50588,
+  "[XXXXX382]": 51008,
+  "[XXXXX383]": 50801,
+  "[XXXXX384]": 50290,
+  "[XXXXX385]": 50899,
+  "[XXXXX386]": 50206,
+  "[XXXXX387]": 50716,
+  "[XXXXX388]": 51082,
+  "[XXXXX389]": 50177,
+  "[XXXXX38]": 50736,
+  "[XXXXX390]": 50282,
+  "[XXXXX391]": 51183,
+  "[XXXXX392]": 50286,
+  "[XXXXX393]": 50659,
+  "[XXXXX394]": 50378,
+  "[XXXXX395]": 50709,
+  "[XXXXX396]": 50028,
+  "[XXXXX397]": 50235,
+  "[XXXXX398]": 51014,
+  "[XXXXX399]": 50880,
+  "[XXXXX39]": 50305,
+  "[XXXXX3]": 50077,
+  "[XXXXX400]": 50155,
+  "[XXXXX401]": 50710,
+  "[XXXXX402]": 50507,
+  "[XXXXX403]": 50860,
+  "[XXXXX404]": 50661,
+  "[XXXXX405]": 51083,
+  "[XXXXX406]": 50888,
+  "[XXXXX407]": 50069,
+  "[XXXXX408]": 50691,
+  "[XXXXX409]": 51055,
+  "[XXXXX40]": 50337,
+  "[XXXXX410]": 50137,
+  "[XXXXX411]": 50791,
+  "[XXXXX412]": 50136,
+  "[XXXXX413]": 50730,
+  "[XXXXX414]": 50267,
+  "[XXXXX415]": 50012,
+  "[XXXXX416]": 50681,
+  "[XXXXX417]": 50942,
+  "[XXXXX418]": 50720,
+  "[XXXXX419]": 50844,
+  "[XXXXX41]": 50387,
+  "[XXXXX420]": 50111,
+  "[XXXXX421]": 51003,
+  "[XXXXX422]": 50785,
+  "[XXXXX423]": 50149,
+  "[XXXXX424]": 50422,
+  "[XXXXX425]": 51086,
+  "[XXXXX426]": 50862,
+  "[XXXXX427]": 50576,
+  "[XXXXX428]": 51049,
+  "[XXXXX429]": 50630,
+  "[XXXXX42]": 50799,
+  "[XXXXX430]": 50289,
+  "[XXXXX431]": 50184,
+  "[XXXXX432]": 50319,
+  "[XXXXX433]": 51116,
+  "[XXXXX434]": 50519,
+  "[XXXXX435]": 50496,
+  "[XXXXX436]": 50517,
+  "[XXXXX437]": 50865,
+  "[XXXXX438]": 50737,
+  "[XXXXX439]": 50356,
+  "[XXXXX43]": 50359,
+  "[XXXXX440]": 50898,
+  "[XXXXX441]": 50113,
+  "[XXXXX442]": 50527,
+  "[XXXXX443]": 50762,
+  "[XXXXX444]": 50540,
+  "[XXXXX445]": 50925,
+  "[XXXXX446]": 50711,
+  "[XXXXX447]": 50143,
+  "[XXXXX448]": 51170,
+  "[XXXXX449]": 50413,
+  "[XXXXX44]": 50097,
+  "[XXXXX450]": 50375,
+  "[XXXXX451]": 50846,
+  "[XXXXX452]": 50217,
+  "[XXXXX453]": 50699,
+  "[XXXXX454]": 50412,
+  "[XXXXX455]": 50418,
+  "[XXXXX456]": 51143,
+  "[XXXXX457]": 51141,
+  "[XXXXX458]": 51157,
+  "[XXXXX459]": 50825,
+  "[XXXXX45]": 50203,
+  "[XXXXX460]": 50194,
+  "[XXXXX461]": 50148,
+  "[XXXXX462]": 50276,
+  "[XXXXX463]": 50271,
+  "[XXXXX464]": 50836,
+  "[XXXXX465]": 50854,
+  "[XXXXX466]": 50164,
+  "[XXXXX467]": 50484,
+  "[XXXXX468]": 51097,
+  "[XXXXX469]": 50182,
+  "[XXXXX46]": 50505,
+  "[XXXXX470]": 50670,
+  "[XXXXX471]": 50595,
+  "[XXXXX472]": 50237,
+  "[XXXXX473]": 50057,
+  "[XXXXX474]": 50431,
+  "[XXXXX475]": 50738,
+  "[XXXXX476]": 51145,
+  "[XXXXX477]": 50247,
+  "[XXXXX478]": 50029,
+  "[XXXXX479]": 50917,
+  "[XXXXX47]": 50579,
+  "[XXXXX480]": 50702,
+  "[XXXXX481]": 50831,
+  "[XXXXX482]": 50753,
+  "[XXXXX483]": 50598,
+  "[XXXXX484]": 51136,
+  "[XXXXX485]": 50092,
+  "[XXXXX486]": 50202,
+  "[XXXXX487]": 50106,
+  "[XXXXX488]": 50924,
+  "[XXXXX489]": 51113,
+  "[XXXXX48]": 50842,
+  "[XXXXX490]": 50761,
+  "[XXXXX491]": 50577,
+  "[XXXXX492]": 50692,
+  "[XXXXX493]": 51130,
+  "[XXXXX494]": 50932,
+  "[XXXXX495]": 50837,
+  "[XXXXX496]": 50893,
+  "[XXXXX497]": 50773,
+  "[XXXXX498]": 50360,
+  "[XXXXX499]": 50900,
+  "[XXXXX49]": 51062,
+  "[XXXXX4]": 50396,
+  "[XXXXX500]": 51034,
+  "[XXXXX501]": 50472,
+  "[XXXXX502]": 50660,
+  "[XXXXX503]": 50815,
+  "[XXXXX504]": 50939,
+  "[XXXXX505]": 50419,
+  "[XXXXX506]": 50324,
+  "[XXXXX507]": 50428,
+  "[XXXXX508]": 50274,
+  "[XXXXX509]": 50311,
+  "[XXXXX50]": 50459,
+  "[XXXXX510]": 50674,
+  "[XXXXX511]": 50580,
+  "[XXXXX512]": 50956,
+  "[XXXXX513]": 50165,
+  "[XXXXX514]": 50320,
+  "[XXXXX515]": 50648,
+  "[XXXXX516]": 50386,
+  "[XXXXX517]": 50058,
+  "[XXXXX518]": 51045,
+  "[XXXXX519]": 50103,
+  "[XXXXX51]": 50979,
+  "[XXXXX520]": 50530,
+  "[XXXXX521]": 50907,
+  "[XXXXX522]": 50260,
+  "[XXXXX523]": 50632,
+  "[XXXXX524]": 50926,
+  "[XXXXX525]": 50687,
+  "[XXXXX526]": 50160,
+  "[XXXXX527]": 51053,
+  "[XXXXX528]": 50652,
+  "[XXXXX529]": 51041,
+  "[XXXXX52]": 50272,
+  "[XXXXX530]": 51111,
+  "[XXXXX531]": 51009,
+  "[XXXXX532]": 51079,
+  "[XXXXX533]": 50487,
+  "[XXXXX534]": 51059,
+  "[XXXXX535]": 50335,
+  "[XXXXX536]": 50380,
+  "[XXXXX537]": 50301,
+  "[XXXXX538]": 51067,
+  "[XXXXX539]": 51052,
+  "[XXXXX53]": 51048,
+  "[XXXXX540]": 50822,
+  "[XXXXX541]": 51040,
+  "[XXXXX542]": 50490,
+  "[XXXXX543]": 50448,
+  "[XXXXX544]": 50812,
+  "[XXXXX545]": 50099,
+  "[XXXXX546]": 51199,
+  "[XXXXX547]": 50226,
+  "[XXXXX548]": 50538,
+  "[XXXXX549]": 50342,
+  "[XXXXX54]": 50701,
+  "[XXXXX550]": 50544,
+  "[XXXXX551]": 50398,
+  "[XXXXX552]": 51102,
+  "[XXXXX553]": 50919,
+  "[XXXXX554]": 50615,
+  "[XXXXX555]": 50769,
+  "[XXXXX556]": 50940,
+  "[XXXXX557]": 50070,
+  "[XXXXX558]": 50680,
+  "[XXXXX559]": 50611,
+  "[XXXXX55]": 50574,
+  "[XXXXX560]": 50381,
+  "[XXXXX561]": 50350,
+  "[XXXXX562]": 50175,
+  "[XXXXX563]": 50584,
+  "[XXXXX564]": 50703,
+  "[XXXXX565]": 50989,
+  "[XXXXX566]": 50877,
+  "[XXXXX567]": 51039,
+  "[XXXXX568]": 51018,
+  "[XXXXX569]": 50452,
+  "[XXXXX56]": 51099,
+  "[XXXXX570]": 50161,
+  "[XXXXX571]": 50921,
+  "[XXXXX572]": 50676,
+  "[XXXXX573]": 50326,
+  "[XXXXX574]": 50987,
+  "[XXXXX575]": 50361,
+  "[XXXXX576]": 50071,
+  "[XXXXX577]": 50803,
+  "[XXXXX578]": 50400,
+  "[XXXXX579]": 51091,
+  "[XXXXX57]": 50501,
+  "[XXXXX580]": 50887,
+  "[XXXXX581]": 50839,
+  "[XXXXX582]": 51138,
+  "[XXXXX583]": 50816,
+  "[XXXXX584]": 50339,
+  "[XXXXX585]": 50463,
+  "[XXXXX586]": 50399,
+  "[XXXXX587]": 51070,
+  "[XXXXX588]": 50457,
+  "[XXXXX589]": 50828,
+  "[XXXXX58]": 50183,
+  "[XXXXX590]": 50080,
+  "[XXXXX591]": 50550,
+  "[XXXXX592]": 50129,
+  "[XXXXX593]": 50273,
+  "[XXXXX594]": 50388,
+  "[XXXXX595]": 50491,
+  "[XXXXX596]": 50278,
+  "[XXXXX597]": 50011,
+  "[XXXXX598]": 50254,
+  "[XXXXX599]": 50302,
+  "[XXXXX59]": 50353,
+  "[XXXXX5]": 50010,
+  "[XXXXX600]": 50704,
+  "[XXXXX601]": 51118,
+  "[XXXXX602]": 50049,
+  "[XXXXX603]": 51190,
+  "[XXXXX604]": 51142,
+  "[XXXXX605]": 50707,
+  "[XXXXX606]": 50937,
+  "[XXXXX607]": 50875,
+  "[XXXXX608]": 50564,
+  "[XXXXX609]": 50345,
+  "[XXXXX60]": 50713,
+  "[XXXXX610]": 50949,
+  "[XXXXX611]": 50978,
+  "[XXXXX612]": 50330,
+  "[XXXXX613]": 51035,
+  "[XXXXX614]": 50402,
+  "[XXXXX615]": 50176,
+  "[XXXXX616]": 51133,
+  "[XXXXX617]": 50222,
+  "[XXXXX618]": 50118,
+  "[XXXXX619]": 50196,
+  "[XXXXX61]": 50298,
+  "[XXXXX620]": 50668,
+  "[XXXXX621]": 50462,
+  "[XXXXX622]": 50218,
+  "[XXXXX623]": 51101,
+  "[XXXXX624]": 50362,
+  "[XXXXX625]": 50779,
+  "[XXXXX626]": 50513,
+  "[XXXXX627]": 50746,
+  "[XXXXX628]": 50141,
+  "[XXXXX629]": 50479,
+  "[XXXXX62]": 50056,
+  "[XXXXX630]": 51180,
+  "[XXXXX631]": 50872,
+  "[XXXXX632]": 50315,
+  "[XXXXX633]": 50397,
+  "[XXXXX634]": 51165,
+  "[XXXXX635]": 50046,
+  "[XXXXX636]": 50795,
+  "[XXXXX637]": 50959,
+  "[XXXXX638]": 50786,
+  "[XXXXX639]": 50240,
+  "[XXXXX63]": 51061,
+  "[XXXXX640]": 50601,
+  "[XXXXX641]": 50904,
+  "[XXXXX642]": 50376,
+  "[XXXXX643]": 50663,
+  "[XXXXX644]": 50613,
+  "[XXXXX645]": 50467,
+  "[XXXXX646]": 50546,
+  "[XXXXX647]": 50465,
+  "[XXXXX648]": 50395,
+  "[XXXXX649]": 50287,
+  "[XXXXX64]": 51162,
+  "[XXXXX650]": 50474,
+  "[XXXXX651]": 50727,
+  "[XXXXX652]": 50243,
+  "[XXXXX653]": 51100,
+  "[XXXXX654]": 50705,
+  "[XXXXX655]": 51012,
+  "[XXXXX656]": 50447,
+  "[XXXXX657]": 50719,
+  "[XXXXX658]": 50712,
+  "[XXXXX659]": 50476,
+  "[XXXXX65]": 50587,
+  "[XXXXX660]": 51054,
+  "[XXXXX661]": 51166,
+  "[XXXXX662]": 50494,
+  "[XXXXX663]": 50230,
+  "[XXXXX664]": 50621,
+  "[XXXXX665]": 50809,
+  "[XXXXX666]": 50265,
+  "[XXXXX667]": 50645,
+  "[XXXXX668]": 50817,
+  "[XXXXX669]": 50030,
+  "[XXXXX66]": 51029,
+  "[XXXXX670]": 51004,
+  "[XXXXX671]": 50685,
+  "[XXXXX672]": 50625,
+  "[XXXXX673]": 50890,
+  "[XXXXX674]": 50383,
+  "[XXXXX675]": 50929,
+  "[XXXXX676]": 50116,
+  "[XXXXX677]": 51072,
+  "[XXXXX678]": 51126,
+  "[XXXXX679]": 50755,
+  "[XXXXX67]": 50717,
+  "[XXXXX680]": 50303,
+  "[XXXXX681]": 50504,
+  "[XXXXX682]": 51075,
+  "[XXXXX683]": 50261,
+  "[XXXXX684]": 50861,
+  "[XXXXX685]": 50306,
+  "[XXXXX686]": 50016,
+  "[XXXXX687]": 50101,
+  "[XXXXX688]": 51098,
+  "[XXXXX689]": 50827,
+  "[XXXXX68]": 50863,
+  "[XXXXX690]": 50640,
+  "[XXXXX691]": 50031,
+  "[XXXXX692]": 50768,
+  "[XXXXX693]": 50013,
+  "[XXXXX694]": 51032,
+  "[XXXXX695]": 50166,
+  "[XXXXX696]": 50127,
+  "[XXXXX697]": 50414,
+  "[XXXXX698]": 50742,
+  "[XXXXX699]": 51042,
+  "[XXXXX69]": 51112,
+  "[XXXXX6]": 50593,
+  "[XXXXX700]": 50292,
+  "[XXXXX701]": 50174,
+  "[XXXXX702]": 50547,
+  "[XXXXX703]": 50498,
+  "[XXXXX704]": 51078,
+  "[XXXXX705]": 50133,
+  "[XXXXX706]": 50041,
+  "[XXXXX707]": 51181,
+  "[XXXXX708]": 50585,
+  "[XXXXX709]": 50776,
+  "[XXXXX70]": 50053,
+  "[XXXXX710]": 50336,
+  "[XXXXX711]": 50765,
+  "[XXXXX712]": 50224,
+  "[XXXXX713]": 50599,
+  "[XXXXX714]": 50207,
+  "[XXXXX715]": 51043,
+  "[XXXXX716]": 51090,
+  "[XXXXX717]": 50006,
+  "[XXXXX718]": 50901,
+  "[XXXXX719]": 51001,
+  "[XXXXX71]": 50954,
+  "[XXXXX720]": 50646,
+  "[XXXXX721]": 50075,
+  "[XXXXX722]": 51120,
+  "[XXXXX723]": 50215,
+  "[XXXXX724]": 50415,
+  "[XXXXX725]": 50154,
+  "[XXXXX726]": 50935,
+  "[XXXXX727]": 50545,
+  "[XXXXX728]": 51085,
+  "[XXXXX729]": 50256,
+  "[XXXXX72]": 50363,
+  "[XXXXX730]": 50700,
+  "[XXXXX731]": 50262,
+  "[XXXXX732]": 50930,
+  "[XXXXX733]": 50333,
+  "[XXXXX734]": 50884,
+  "[XXXXX735]": 51030,
+  "[XXXXX736]": 50231,
+  "[XXXXX737]": 50405,
+  "[XXXXX738]": 50962,
+  "[XXXXX739]": 50458,
+  "[XXXXX73]": 50019,
+  "[XXXXX740]": 50878,
+  "[XXXXX741]": 50910,
+  "[XXXXX742]": 50170,
+  "[XXXXX743]": 50718,
+  "[XXXXX744]": 50616,
+  "[XXXXX745]": 50358,
+  "[XXXXX746]": 50152,
+  "[XXXXX747]": 50525,
+  "[XXXXX748]": 51167,
+  "[XXXXX749]": 50653,
+  "[XXXXX74]": 50952,
+  "[XXXXX750]": 50500,
+  "[XXXXX751]": 50446,
+  "[XXXXX752]": 50995,
+  "[XXXXX753]": 50945,
+  "[XXXXX754]": 51173,
+  "[XXXXX755]": 50823,
+  "[XXXXX756]": 51060,
+  "[XXXXX757]": 50748,
+  "[XXXXX758]": 50020,
+  "[XXXXX759]": 50197,
+  "[XXXXX75]": 50502,
+  "[XXXXX760]": 50291,
+  "[XXXXX761]": 50821,
+  "[XXXXX762]": 50190,
+  "[XXXXX763]": 50745,
+  "[XXXXX764]": 50778,
+  "[XXXXX765]": 50556,
+  "[XXXXX766]": 51161,
+  "[XXXXX767]": 50466,
+  "[XXXXX768]": 50792,
+  "[XXXXX769]": 50208,
+  "[XXXXX76]": 50169,
+  "[XXXXX770]": 50647,
+  "[XXXXX771]": 50610,
+  "[XXXXX772]": 51140,
+  "[XXXXX773]": 50441,
+  "[XXXXX774]": 50870,
+  "[XXXXX775]": 50368,
+  "[XXXXX776]": 50026,
+  "[XXXXX777]": 50677,
+  "[XXXXX778]": 51168,
+  "[XXXXX779]": 50481,
+  "[XXXXX77]": 50515,
+  "[XXXXX780]": 50225,
+  "[XXXXX781]": 50408,
+  "[XXXXX782]": 50090,
+  "[XXXXX783]": 50951,
+  "[XXXXX784]": 50015,
+  "[XXXXX785]": 50658,
+  "[XXXXX786]": 50617,
+  "[XXXXX787]": 50721,
+  "[XXXXX788]": 51084,
+  "[XXXXX789]": 50830,
+  "[XXXXX78]": 50100,
+  "[XXXXX790]": 50606,
+  "[XXXXX791]": 50124,
+  "[XXXXX792]": 50078,
+  "[XXXXX793]": 51188,
+  "[XXXXX794]": 50750,
+  "[XXXXX795]": 50138,
+  "[XXXXX796]": 50239,
+  "[XXXXX797]": 50385,
+  "[XXXXX798]": 50780,
+  "[XXXXX799]": 50683,
+  "[XXXXX79]": 50436,
+  "[XXXXX7]": 50211,
+  "[XXXXX800]": 51185,
+  "[XXXXX801]": 50250,
+  "[XXXXX802]": 50456,
+  "[XXXXX803]": 50508,
+  "[XXXXX804]": 51194,
+  "[XXXXX805]": 50021,
+  "[XXXXX806]": 50307,
+  "[XXXXX807]": 50199,
+  "[XXXXX808]": 51129,
+  "[XXXXX809]": 50686,
+  "[XXXXX80]": 50370,
+  "[XXXXX810]": 50343,
+  "[XXXXX811]": 50614,
+  "[XXXXX812]": 50636,
+  "[XXXXX813]": 51198,
+  "[XXXXX814]": 50788,
+  "[XXXXX815]": 50120,
+  "[XXXXX816]": 50135,
+  "[XXXXX817]": 50293,
+  "[XXXXX818]": 50153,
+  "[XXXXX819]": 50516,
+  "[XXXXX81]": 50581,
+  "[XXXXX820]": 50586,
+  "[XXXXX821]": 50509,
+  "[XXXXX822]": 50220,
+  "[XXXXX823]": 51068,
+  "[XXXXX824]": 50946,
+  "[XXXXX825]": 50965,
+  "[XXXXX826]": 50032,
+  "[XXXXX827]": 50156,
+  "[XXXXX828]": 50449,
+  "[XXXXX829]": 50531,
+  "[XXXXX82]": 51164,
+  "[XXXXX830]": 50486,
+  "[XXXXX831]": 50357,
+  "[XXXXX832]": 51022,
+  "[XXXXX833]": 50633,
+  "[XXXXX834]": 50754,
+  "[XXXXX835]": 51134,
+  "[XXXXX836]": 50193,
+  "[XXXXX837]": 51088,
+  "[XXXXX838]": 50722,
+  "[XXXXX839]": 50756,
+  "[XXXXX83]": 50977,
+  "[XXXXX840]": 50022,
+  "[XXXXX841]": 51186,
+  "[XXXXX842]": 50575,
+  "[XXXXX843]": 50079,
+  "[XXXXX844]": 50644,
+  "[XXXXX845]": 51033,
+  "[XXXXX846]": 50454,
+  "[XXXXX847]": 50095,
+  "[XXXXX848]": 50902,
+  "[XXXXX849]": 50597,
+  "[XXXXX84]": 50167,
+  "[XXXXX850]": 51051,
+  "[XXXXX851]": 50696,
+  "[XXXXX852]": 50966,
+  "[XXXXX853]": 50034,
+  "[XXXXX854]": 50889,
+  "[XXXXX855]": 50843,
+  "[XXXXX856]": 50963,
+  "[XXXXX857]": 50227,
+  "[XXXXX858]": 51058,
+  "[XXXXX859]": 50850,
+  "[XXXXX85]": 50192,
+  "[XXXXX860]": 50228,
+  "[XXXXX861]": 50570,
+  "[XXXXX862]": 50488,
+  "[XXXXX863]": 50539,
+  "[XXXXX864]": 51182,
+  "[XXXXX865]": 50990,
+  "[XXXXX866]": 50542,
+  "[XXXXX867]": 51069,
+  "[XXXXX868]": 50480,
+  "[XXXXX869]": 50847,
+  "[XXXXX86]": 50874,
+  "[XXXXX870]": 50308,
+  "[XXXXX871]": 50510,
+  "[XXXXX872]": 50423,
+  "[XXXXX873]": 50086,
+  "[XXXXX874]": 50591,
+  "[XXXXX875]": 50728,
+  "[XXXXX876]": 50372,
+  "[XXXXX877]": 50903,
+  "[XXXXX878]": 50868,
+  "[XXXXX879]": 50763,
+  "[XXXXX87]": 50571,
+  "[XXXXX880]": 50096,
+  "[XXXXX881]": 51150,
+  "[XXXXX882]": 50460,
+  "[XXXXX883]": 51087,
+  "[XXXXX884]": 51093,
+  "[XXXXX885]": 50295,
+  "[XXXXX886]": 51037,
+  "[XXXXX887]": 51171,
+  "[XXXXX888]": 50794,
+  "[XXXXX889]": 50628,
+  "[XXXXX88]": 50520,
+  "[XXXXX890]": 51172,
+  "[XXXXX891]": 51046,
+  "[XXXXX892]": 50918,
+  "[XXXXX893]": 50998,
+  "[XXXXX894]": 50371,
+  "[XXXXX895]": 51155,
+  "[XXXXX896]": 50866,
+  "[XXXXX897]": 50229,
+  "[XXXXX898]": 51057,
+  "[XXXXX899]": 50867,
+  "[XXXXX89]": 50537,
+  "[XXXXX8]": 50784,
+  "[XXXXX900]": 50739,
+  "[XXXXX901]": 51080,
+  "[XXXXX902]": 50038,
+  "[XXXXX903]": 50321,
+  "[XXXXX904]": 50774,
+  "[XXXXX905]": 50974,
+  "[XXXXX906]": 50920,
+  "[XXXXX907]": 50469,
+  "[XXXXX908]": 51122,
+  "[XXXXX909]": 51092,
+  "[XXXXX90]": 50514,
+  "[XXXXX910]": 50798,
+  "[XXXXX911]": 50245,
+  "[XXXXX912]": 50367,
+  "[XXXXX913]": 50618,
+  "[XXXXX914]": 50072,
+  "[XXXXX915]": 50450,
+  "[XXXXX916]": 51189,
+  "[XXXXX917]": 50485,
+  "[XXXXX918]": 50283,
+  "[XXXXX919]": 50845,
+  "[XXXXX91]": 50968,
+  "[XXXXX920]": 50429,
+  "[XXXXX921]": 50364,
+  "[XXXXX922]": 50782,
+  "[XXXXX923]": 50534,
+  "[XXXXX924]": 50059,
+  "[XXXXX925]": 50102,
+  "[XXXXX926]": 50185,
+  "[XXXXX927]": 50634,
+  "[XXXXX928]": 50567,
+  "[XXXXX929]": 50895,
+  "[XXXXX92]": 50210,
+  "[XXXXX930]": 50561,
+  "[XXXXX931]": 51021,
+  "[XXXXX932]": 50107,
+  "[XXXXX933]": 50407,
+  "[XXXXX934]": 50654,
+  "[XXXXX935]": 50268,
+  "[XXXXX936]": 51153,
+  "[XXXXX937]": 50552,
+  "[XXXXX938]": 50526,
+  "[XXXXX939]": 50322,
+  "[XXXXX93]": 50912,
+  "[XXXXX940]": 50296,
+  "[XXXXX941]": 50572,
+  "[XXXXX942]": 50393,
+  "[XXXXX943]": 50312,
+  "[XXXXX944]": 50592,
+  "[XXXXX945]": 50982,
+  "[XXXXX946]": 50089,
+  "[XXXXX947]": 50331,
+  "[XXXXX948]": 50279,
+  "[XXXXX949]": 51005,
+  "[XXXXX94]": 50198,
+  "[XXXXX950]": 50114,
+  "[XXXXX951]": 50074,
+  "[XXXXX952]": 50248,
+  "[XXXXX953]": 50857,
+  "[XXXXX954]": 50841,
+  "[XXXXX955]": 51065,
+  "[XXXXX956]": 50234,
+  "[XXXXX957]": 50834,
+  "[XXXXX958]": 50535,
+  "[XXXXX959]": 51109,
+  "[XXXXX95]": 50651,
+  "[XXXXX960]": 50797,
+  "[XXXXX961]": 50914,
+  "[XXXXX962]": 50112,
+  "[XXXXX963]": 50073,
+  "[XXXXX964]": 50559,
+  "[XXXXX965]": 50933,
+  "[XXXXX966]": 50619,
+  "[XXXXX967]": 51187,
+  "[XXXXX968]": 50327,
+  "[XXXXX969]": 50698,
+  "[XXXXX96]": 50420,
+  "[XXXXX970]": 50060,
+  "[XXXXX971]": 50432,
+  "[XXXXX972]": 50620,
+  "[XXXXX973]": 50693,
+  "[XXXXX974]": 50938,
+  "[XXXXX975]": 50983,
+  "[XXXXX976]": 50334,
+  "[XXXXX977]": 50438,
+  "[XXXXX978]": 51154,
+  "[XXXXX979]": 50964,
+  "[XXXXX97]": 50672,
+  "[XXXXX980]": 50511,
+  "[XXXXX981]": 50244,
+  "[XXXXX982]": 50266,
+  "[XXXXX983]": 50134,
+  "[XXXXX984]": 50338,
+  "[XXXXX985]": 51121,
+  "[XXXXX986]": 50323,
+  "[XXXXX987]": 50909,
+  "[XXXXX988]": 51000,
+  "[XXXXX989]": 50036,
+  "[XXXXX98]": 50787,
+  "[XXXXX990]": 50512,
+  "[XXXXX991]": 50191,
+  "[XXXXX992]": 50187,
+  "[XXXXX993]": 51156,
+  "[XXXXX994]": 51135,
+  "[XXXXX995]": 50355,
+  "[XXXXX996]": 51027,
+  "[XXXXX997]": 50297,
+  "[XXXXX998]": 50928,
+  "[XXXXX999]": 50697,
+  "[XXXXX99]": 50980,
+  "[XXXXX9]": 50961
+}
diff --git a/checkpoint-11000/config.json b/checkpoint-11000/config.json
new file mode 100644
index 0000000..000c292
--- /dev/null
+++ b/checkpoint-11000/config.json
@@ -0,0 +1,34 @@
+{
+  "activation_function": "gelu",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50000,
+  "dtype": "bfloat16",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50001,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 512,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": 3072,
+  "n_layer": 12,
+  "n_positions": 512,
+  "pad_token_id": 50002,
+  "prefix": "[CLS]",
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "vocab_size": 51200
+}
diff --git a/checkpoint-11000/generation_config.json b/checkpoint-11000/generation_config.json
new file mode 100644
index 0000000..4c122f0
--- /dev/null
+++ b/checkpoint-11000/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50000,
+  "eos_token_id": [
+    50001
+  ],
+  "pad_token_id": 50002,
+  "transformers_version": "4.56.2"
+}
diff --git a/checkpoint-11000/model.safetensors b/checkpoint-11000/model.safetensors
new file mode 100644
index 0000000..1975bc5
--- /dev/null
+++ b/checkpoint-11000/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:49aa6f7b76a7a058e0064f631f57e74e2b40459c9af3f80b266299b3621411cb
+size 249556672
diff --git a/checkpoint-11000/rng_state.pth b/checkpoint-11000/rng_state.pth
new file mode 100644
index 0000000..a613063
--- /dev/null
+++ b/checkpoint-11000/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cdcf2a6adb70946f2cc757f105d7be9e2a7dce10d05fd39abfb24f204b8a54d0
+size 14645
diff --git a/checkpoint-11000/special_tokens_map.json b/checkpoint-11000/special_tokens_map.json
new file mode 100644
index 0000000..c78a835
--- /dev/null
+++ b/checkpoint-11000/special_tokens_map.json
@@ -0,0 +1,1249 @@
+{
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/checkpoint-11000/spiece.model b/checkpoint-11000/spiece.model
new file mode 100644
index 0000000..85d6e93
--- /dev/null
+++ b/checkpoint-11000/spiece.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:762a1e078899c6ba7ef62ef873a57b860c51cc0518791854659b58b4c89742fe
+size 1170764
diff --git a/checkpoint-11000/tokenizer_config.json b/checkpoint-11000/tokenizer_config.json
new file mode 100644
index 0000000..b27d01f
--- /dev/null
+++ b/checkpoint-11000/tokenizer_config.json
@@ -0,0 +1,10825 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50000": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50001": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50002": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50003": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50004": {
+      "content": "[XXXXX160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50005": {
+      "content": "[XXXXX240]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50006": {
+      "content": "[XXXXX717]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50007": {
+      "content": "[XXXXX23]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50008": {
+      "content": "[XXXXX161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50009": {
+      "content": "[XXXXX1156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50010": {
+      "content": "[XXXXX5]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50011": {
+      "content": "[XXXXX597]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50012": {
+      "content": "[XXXXX415]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50013": {
+      "content": "[XXXXX693]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50014": {
+      "content": "[XXXXX1083]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50015": {
+      "content": "[XXXXX784]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50016": {
+      "content": "[XXXXX686]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50017": {
+      "content": "[XXXXX379]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50018": {
+      "content": "[XXXXX335]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50019": {
+      "content": "[XXXXX73]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50020": {
+      "content": "[XXXXX758]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50021": {
+      "content": "[XXXXX805]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50022": {
+      "content": "[XXXXX840]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50023": {
+      "content": "[XXXXX1037]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50024": {
+      "content": "[XXXXX235]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50025": {
+      "content": "[XXXXX1107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50026": {
+      "content": "[XXXXX776]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50027": {
+      "content": "[XXXXX286]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50028": {
+      "content": "[XXXXX396]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50029": {
+      "content": "[XXXXX478]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50030": {
+      "content": "[XXXXX669]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50031": {
+      "content": "[XXXXX691]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50032": {
+      "content": "[XXXXX826]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50033": {
+      "content": "[XXXXX1150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50034": {
+      "content": "[XXXXX853]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50035": {
+      "content": "[XXXXX130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50036": {
+      "content": "[XXXXX989]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50037": {
+      "content": "[XXXXX249]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50038": {
+      "content": "[XXXXX902]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50039": {
+      "content": "[XXXXX1169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50040": {
+      "content": "[XXXXX260]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50041": {
+      "content": "[XXXXX706]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50042": {
+      "content": "[XXXXX146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50043": {
+      "content": "[XXXXX198]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50044": {
+      "content": "[XXXXX303]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50045": {
+      "content": "[XXXXX1192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50046": {
+      "content": "[XXXXX635]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50047": {
+      "content": "[XXXXX271]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50048": {
+      "content": "[XXXXX1023]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50049": {
+      "content": "[XXXXX602]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50050": {
+      "content": "[XXXXX291]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50051": {
+      "content": "[XXXXX190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50052": {
+      "content": "[XXXXX1055]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50053": {
+      "content": "[XXXXX70]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50054": {
+      "content": "[XXXXX178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50055": {
+      "content": "[XXXXX318]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50056": {
+      "content": "[XXXXX62]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50057": {
+      "content": "[XXXXX473]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50058": {
+      "content": "[XXXXX517]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50059": {
+      "content": "[XXXXX924]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50060": {
+      "content": "[XXXXX970]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50061": {
+      "content": "[XXXXX1033]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50062": {
+      "content": "[XXXXX110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50063": {
+      "content": "[XXXXX1151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50064": {
+      "content": "[XXXXX1189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50065": {
+      "content": "[XXXXX1095]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50066": {
+      "content": "[XXXXX148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50067": {
+      "content": "[XXXXX337]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50068": {
+      "content": "[XXXXX245]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50069": {
+      "content": "[XXXXX407]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50070": {
+      "content": "[XXXXX557]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50071": {
+      "content": "[XXXXX576]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50072": {
+      "content": "[XXXXX914]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50073": {
+      "content": "[XXXXX963]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50074": {
+      "content": "[XXXXX951]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50075": {
+      "content": "[XXXXX721]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50076": {
+      "content": "[XXXXX1174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50077": {
+      "content": "[XXXXX3]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50078": {
+      "content": "[XXXXX792]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50079": {
+      "content": "[XXXXX843]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50080": {
+      "content": "[XXXXX590]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50081": {
+      "content": "[XXXXX118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50082": {
+      "content": "[XXXXX280]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50083": {
+      "content": "[XXXXX1119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50084": {
+      "content": "[XXXXX1025]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50085": {
+      "content": "[XXXXX140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50086": {
+      "content": "[XXXXX873]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50087": {
+      "content": "[XXXXX103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50088": {
+      "content": "[XXXXX307]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50089": {
+      "content": "[XXXXX946]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50090": {
+      "content": "[XXXXX782]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50091": {
+      "content": "[XXXXX100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50092": {
+      "content": "[XXXXX485]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50093": {
+      "content": "[XXXXX151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50094": {
+      "content": "[XXXXX213]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50095": {
+      "content": "[XXXXX847]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50096": {
+      "content": "[XXXXX880]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50097": {
+      "content": "[XXXXX44]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50098": {
+      "content": "[XXXXX1031]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50099": {
+      "content": "[XXXXX545]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50100": {
+      "content": "[XXXXX78]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50101": {
+      "content": "[XXXXX687]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50102": {
+      "content": "[XXXXX925]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50103": {
+      "content": "[XXXXX519]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50104": {
+      "content": "[XXXXX1191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50105": {
+      "content": "[XXXXX13]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50106": {
+      "content": "[XXXXX487]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50107": {
+      "content": "[XXXXX932]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50108": {
+      "content": "[XXXXX119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50109": {
+      "content": "[XXXXX170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50110": {
+      "content": "[XXXXX254]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50111": {
+      "content": "[XXXXX420]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50112": {
+      "content": "[XXXXX962]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50113": {
+      "content": "[XXXXX441]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50114": {
+      "content": "[XXXXX950]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50115": {
+      "content": "[XXXXX18]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50116": {
+      "content": "[XXXXX676]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50117": {
+      "content": "[XXXXX1133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50118": {
+      "content": "[XXXXX618]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50119": {
+      "content": "[XXXXX374]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50120": {
+      "content": "[XXXXX815]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50121": {
+      "content": "[XXXXX1058]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50122": {
+      "content": "[XXXXX1108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50123": {
+      "content": "[XXXXX1144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50124": {
+      "content": "[XXXXX791]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50125": {
+      "content": "[XXXXX259]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50126": {
+      "content": "[XXXXX1074]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50127": {
+      "content": "[XXXXX696]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50128": {
+      "content": "[XXXXX1168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50129": {
+      "content": "[XXXXX592]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50130": {
+      "content": "[XXXXX127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50131": {
+      "content": "[XXXXX136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50132": {
+      "content": "[XXXXX237]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50133": {
+      "content": "[XXXXX705]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50134": {
+      "content": "[XXXXX983]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50135": {
+      "content": "[XXXXX816]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50136": {
+      "content": "[XXXXX412]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50137": {
+      "content": "[XXXXX410]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50138": {
+      "content": "[XXXXX795]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50139": {
+      "content": "[XXXXX101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50140": {
+      "content": "[XXXXX171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50141": {
+      "content": "[XXXXX628]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50142": {
+      "content": "[XXXXX1038]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50143": {
+      "content": "[XXXXX447]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50144": {
+      "content": "[XXXXX1043]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50145": {
+      "content": "[XXXXX147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50146": {
+      "content": "[XXXXX1112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50147": {
+      "content": "[XXXXX186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50148": {
+      "content": "[XXXXX461]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50149": {
+      "content": "[XXXXX423]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50150": {
+      "content": "[XXXXX26]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50151": {
+      "content": "[XXXXX227]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50152": {
+      "content": "[XXXXX746]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50153": {
+      "content": "[XXXXX818]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50154": {
+      "content": "[XXXXX725]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50155": {
+      "content": "[XXXXX400]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50156": {
+      "content": "[XXXXX827]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50157": {
+      "content": "[XXXXX1020]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50158": {
+      "content": "[XXXXX1060]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50159": {
+      "content": "[XXXXX195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50160": {
+      "content": "[XXXXX526]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50161": {
+      "content": "[XXXXX570]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50162": {
+      "content": "[XXXXX174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50163": {
+      "content": "[XXXXX333]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50164": {
+      "content": "[XXXXX466]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50165": {
+      "content": "[XXXXX513]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50166": {
+      "content": "[XXXXX695]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50167": {
+      "content": "[XXXXX84]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50168": {
+      "content": "[XXXXX1080]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50169": {
+      "content": "[XXXXX76]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50170": {
+      "content": "[XXXXX742]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50171": {
+      "content": "[XXXXX1008]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50172": {
+      "content": "[XXXXX1123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50173": {
+      "content": "[XXXXX1145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50174": {
+      "content": "[XXXXX701]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50175": {
+      "content": "[XXXXX562]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50176": {
+      "content": "[XXXXX615]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50177": {
+      "content": "[XXXXX389]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50178": {
+      "content": "[XXXXX267]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50179": {
+      "content": "[XXXXX323]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50180": {
+      "content": "[XXXXX346]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50181": {
+      "content": "[XXXXX287]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50182": {
+      "content": "[XXXXX469]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50183": {
+      "content": "[XXXXX58]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50184": {
+      "content": "[XXXXX431]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50185": {
+      "content": "[XXXXX926]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50186": {
+      "content": "[XXXXX1182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50187": {
+      "content": "[XXXXX992]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50188": {
+      "content": "[XXXXX185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50189": {
+      "content": "[XXXXX352]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50190": {
+      "content": "[XXXXX762]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50191": {
+      "content": "[XXXXX991]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50192": {
+      "content": "[XXXXX85]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50193": {
+      "content": "[XXXXX836]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50194": {
+      "content": "[XXXXX460]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50195": {
+      "content": "[XXXXX272]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50196": {
+      "content": "[XXXXX619]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50197": {
+      "content": "[XXXXX759]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50198": {
+      "content": "[XXXXX94]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50199": {
+      "content": "[XXXXX807]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50200": {
+      "content": "[XXXXX299]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50201": {
+      "content": "[XXXXX187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50202": {
+      "content": "[XXXXX486]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50203": {
+      "content": "[XXXXX45]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50204": {
+      "content": "[XXXXX1036]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50205": {
+      "content": "[XXXXX354]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50206": {
+      "content": "[XXXXX386]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50207": {
+      "content": "[XXXXX714]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50208": {
+      "content": "[XXXXX769]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50209": {
+      "content": "[XXXXX304]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50210": {
+      "content": "[XXXXX92]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50211": {
+      "content": "[XXXXX7]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50212": {
+      "content": "[XXXXX31]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50213": {
+      "content": "[XXXXX102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50214": {
+      "content": "[XXXXX163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50215": {
+      "content": "[XXXXX723]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50216": {
+      "content": "[XXXXX1042]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50217": {
+      "content": "[XXXXX452]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50218": {
+      "content": "[XXXXX622]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50219": {
+      "content": "[XXXXX1056]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50220": {
+      "content": "[XXXXX822]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50221": {
+      "content": "[XXXXX125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50222": {
+      "content": "[XXXXX617]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50223": {
+      "content": "[XXXXX34]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50224": {
+      "content": "[XXXXX712]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50225": {
+      "content": "[XXXXX780]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50226": {
+      "content": "[XXXXX547]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50227": {
+      "content": "[XXXXX857]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50228": {
+      "content": "[XXXXX860]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50229": {
+      "content": "[XXXXX897]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50230": {
+      "content": "[XXXXX663]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50231": {
+      "content": "[XXXXX736]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50232": {
+      "content": "[XXXXX202]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50233": {
+      "content": "[XXXXX1029]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50234": {
+      "content": "[XXXXX956]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50235": {
+      "content": "[XXXXX397]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50236": {
+      "content": "[XXXXX239]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50237": {
+      "content": "[XXXXX472]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50238": {
+      "content": "[XXXXX230]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50239": {
+      "content": "[XXXXX796]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50240": {
+      "content": "[XXXXX639]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50241": {
+      "content": "[XXXXX203]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50242": {
+      "content": "[XXXXX231]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50243": {
+      "content": "[XXXXX652]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50244": {
+      "content": "[XXXXX981]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50245": {
+      "content": "[XXXXX911]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50246": {
+      "content": "[XXXXX380]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50247": {
+      "content": "[XXXXX477]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50248": {
+      "content": "[XXXXX952]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50249": {
+      "content": "[XXXXX28]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50250": {
+      "content": "[XXXXX801]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50251": {
+      "content": "[XXXXX1134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50252": {
+      "content": "[XXXXX1176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50253": {
+      "content": "[XXXXX180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50254": {
+      "content": "[XXXXX598]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50255": {
+      "content": "[XXXXX365]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50256": {
+      "content": "[XXXXX729]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50257": {
+      "content": "[XXXXX214]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50258": {
+      "content": "[XXXXX1117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50259": {
+      "content": "[XXXXX278]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50260": {
+      "content": "[XXXXX522]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50261": {
+      "content": "[XXXXX683]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50262": {
+      "content": "[XXXXX731]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50263": {
+      "content": "[XXXXX312]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "[XXXXX1178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50265": {
+      "content": "[XXXXX666]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50266": {
+      "content": "[XXXXX982]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50267": {
+      "content": "[XXXXX414]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50268": {
+      "content": "[XXXXX935]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50269": {
+      "content": "[XXXXX1089]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50270": {
+      "content": "[XXXXX236]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50271": {
+      "content": "[XXXXX463]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50272": {
+      "content": "[XXXXX52]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50273": {
+      "content": "[XXXXX593]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50274": {
+      "content": "[XXXXX508]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50275": {
+      "content": "[XXXXX1125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50276": {
+      "content": "[XXXXX462]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50277": {
+      "content": "[XXXXX32]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50278": {
+      "content": "[XXXXX596]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50279": {
+      "content": "[XXXXX948]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50280": {
+      "content": "[XXXXX150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50281": {
+      "content": "[XXXXX322]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50282": {
+      "content": "[XXXXX390]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50283": {
+      "content": "[XXXXX918]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50284": {
+      "content": "[XXXXX157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50285": {
+      "content": "[XXXXX310]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50286": {
+      "content": "[XXXXX392]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50287": {
+      "content": "[XXXXX649]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50288": {
+      "content": "[XXXXX158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50289": {
+      "content": "[XXXXX430]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50290": {
+      "content": "[XXXXX384]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50291": {
+      "content": "[XXXXX760]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50292": {
+      "content": "[XXXXX700]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50293": {
+      "content": "[XXXXX817]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50294": {
+      "content": "[XXXXX115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50295": {
+      "content": "[XXXXX885]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50296": {
+      "content": "[XXXXX940]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50297": {
+      "content": "[XXXXX997]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50298": {
+      "content": "[XXXXX61]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50299": {
+      "content": "[XXXXX209]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50300": {
+      "content": "[XXXXX316]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50301": {
+      "content": "[XXXXX537]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50302": {
+      "content": "[XXXXX599]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50303": {
+      "content": "[XXXXX680]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50304": {
+      "content": "[XXXXX135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50305": {
+      "content": "[XXXXX39]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50306": {
+      "content": "[XXXXX685]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50307": {
+      "content": "[XXXXX806]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50308": {
+      "content": "[XXXXX870]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50309": {
+      "content": "[XXXXX1096]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50310": {
+      "content": "[XXXXX366]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50311": {
+      "content": "[XXXXX509]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50312": {
+      "content": "[XXXXX943]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50313": {
+      "content": "[XXXXX292]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50314": {
+      "content": "[XXXXX367]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50315": {
+      "content": "[XXXXX632]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50316": {
+      "content": "[XXXXX1136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50317": {
+      "content": "[XXXXX156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50318": {
+      "content": "[XXXXX1100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50319": {
+      "content": "[XXXXX432]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50320": {
+      "content": "[XXXXX514]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50321": {
+      "content": "[XXXXX903]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50322": {
+      "content": "[XXXXX939]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50323": {
+      "content": "[XXXXX986]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50324": {
+      "content": "[XXXXX506]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50325": {
+      "content": "[XXXXX10]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50326": {
+      "content": "[XXXXX573]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50327": {
+      "content": "[XXXXX968]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50328": {
+      "content": "[XXXXX1039]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50329": {
+      "content": "[XXXXX252]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50330": {
+      "content": "[XXXXX612]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50331": {
+      "content": "[XXXXX947]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50332": {
+      "content": "[XXXXX1162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50333": {
+      "content": "[XXXXX733]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50334": {
+      "content": "[XXXXX976]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50335": {
+      "content": "[XXXXX535]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50336": {
+      "content": "[XXXXX710]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50337": {
+      "content": "[XXXXX40]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50338": {
+      "content": "[XXXXX984]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50339": {
+      "content": "[XXXXX584]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50340": {
+      "content": "[XXXXX132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50341": {
+      "content": "[XXXXX1084]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50342": {
+      "content": "[XXXXX549]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50343": {
+      "content": "[XXXXX810]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50344": {
+      "content": "[XXXXX208]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50345": {
+      "content": "[XXXXX609]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50346": {
+      "content": "[XXXXX275]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50347": {
+      "content": "[XXXXX262]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50348": {
+      "content": "[XXXXX331]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50349": {
+      "content": "[XXXXX361]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50350": {
+      "content": "[XXXXX561]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50351": {
+      "content": "[XXXXX143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50352": {
+      "content": "[XXXXX1061]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50353": {
+      "content": "[XXXXX59]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50354": {
+      "content": "[XXXXX21]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50355": {
+      "content": "[XXXXX995]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50356": {
+      "content": "[XXXXX439]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50357": {
+      "content": "[XXXXX831]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50358": {
+      "content": "[XXXXX745]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50359": {
+      "content": "[XXXXX43]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50360": {
+      "content": "[XXXXX498]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50361": {
+      "content": "[XXXXX575]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50362": {
+      "content": "[XXXXX624]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50363": {
+      "content": "[XXXXX72]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50364": {
+      "content": "[XXXXX921]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50365": {
+      "content": "[XXXXX201]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50366": {
+      "content": "[XXXXX1171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50367": {
+      "content": "[XXXXX912]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50368": {
+      "content": "[XXXXX775]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50369": {
+      "content": "[XXXXX1094]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50370": {
+      "content": "[XXXXX80]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50371": {
+      "content": "[XXXXX894]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50372": {
+      "content": "[XXXXX876]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50373": {
+      "content": "[XXXXX1143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50374": {
+      "content": "[XXXXX355]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50375": {
+      "content": "[XXXXX450]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50376": {
+      "content": "[XXXXX642]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50377": {
+      "content": "[XXXXX162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50378": {
+      "content": "[XXXXX394]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50379": {
+      "content": "[XXXXX296]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50380": {
+      "content": "[XXXXX536]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50381": {
+      "content": "[XXXXX560]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50382": {
+      "content": "[XXXXX373]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50383": {
+      "content": "[XXXXX674]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50384": {
+      "content": "[XXXXX1099]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50385": {
+      "content": "[XXXXX797]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50386": {
+      "content": "[XXXXX516]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50387": {
+      "content": "[XXXXX41]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50388": {
+      "content": "[XXXXX594]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50389": {
+      "content": "[XXXXX319]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50390": {
+      "content": "[XXXXX165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50391": {
+      "content": "[XXXXX344]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50392": {
+      "content": "[XXXXX1012]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50393": {
+      "content": "[XXXXX942]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50394": {
+      "content": "[XXXXX1071]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50395": {
+      "content": "[XXXXX648]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50396": {
+      "content": "[XXXXX4]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50397": {
+      "content": "[XXXXX633]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50398": {
+      "content": "[XXXXX551]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50399": {
+      "content": "[XXXXX586]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50400": {
+      "content": "[XXXXX578]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50401": {
+      "content": "[XXXXX348]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50402": {
+      "content": "[XXXXX614]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50403": {
+      "content": "[XXXXX33]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50404": {
+      "content": "[XXXXX1193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50405": {
+      "content": "[XXXXX737]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50406": {
+      "content": "[XXXXX233]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50407": {
+      "content": "[XXXXX933]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50408": {
+      "content": "[XXXXX781]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50409": {
+      "content": "[XXXXX189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50410": {
+      "content": "[XXXXX1006]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50411": {
+      "content": "[XXXXX219]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50412": {
+      "content": "[XXXXX454]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50413": {
+      "content": "[XXXXX449]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50414": {
+      "content": "[XXXXX697]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50415": {
+      "content": "[XXXXX724]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50416": {
+      "content": "[XXXXX224]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50417": {
+      "content": "[XXXXX1157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50418": {
+      "content": "[XXXXX455]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50419": {
+      "content": "[XXXXX505]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50420": {
+      "content": "[XXXXX96]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50421": {
+      "content": "[XXXXX182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50422": {
+      "content": "[XXXXX424]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50423": {
+      "content": "[XXXXX872]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50424": {
+      "content": "[XXXXX1163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50425": {
+      "content": "[XXXXX1081]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50426": {
+      "content": "[XXXXX1173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50427": {
+      "content": "[XXXXX172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50428": {
+      "content": "[XXXXX507]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50429": {
+      "content": "[XXXXX920]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50430": {
+      "content": "[XXXXX1126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50431": {
+      "content": "[XXXXX474]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50432": {
+      "content": "[XXXXX971]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50433": {
+      "content": "[XXXXX1049]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50434": {
+      "content": "[XXXXX1114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50435": {
+      "content": "[XXXXX1040]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50436": {
+      "content": "[XXXXX79]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50437": {
+      "content": "[XXXXX36]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50438": {
+      "content": "[XXXXX977]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50439": {
+      "content": "[XXXXX1129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50440": {
+      "content": "[XXXXX1063]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50441": {
+      "content": "[XXXXX773]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50442": {
+      "content": "[XXXXX16]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50443": {
+      "content": "[XXXXX113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50444": {
+      "content": "[XXXXX320]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50445": {
+      "content": "[XXXXX167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50446": {
+      "content": "[XXXXX751]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50447": {
+      "content": "[XXXXX656]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50448": {
+      "content": "[XXXXX543]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50449": {
+      "content": "[XXXXX828]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50450": {
+      "content": "[XXXXX915]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50451": {
+      "content": "[XXXXX1098]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50452": {
+      "content": "[XXXXX569]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50453": {
+      "content": "[XXXXX1166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50454": {
+      "content": "[XXXXX846]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50455": {
+      "content": "[XXXXX324]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50456": {
+      "content": "[XXXXX802]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50457": {
+      "content": "[XXXXX588]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50458": {
+      "content": "[XXXXX739]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50459": {
+      "content": "[XXXXX50]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50460": {
+      "content": "[XXXXX882]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50461": {
+      "content": "[XXXXX1054]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50462": {
+      "content": "[XXXXX621]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50463": {
+      "content": "[XXXXX585]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50464": {
+      "content": "[XXXXX121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50465": {
+      "content": "[XXXXX647]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50466": {
+      "content": "[XXXXX767]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50467": {
+      "content": "[XXXXX645]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50468": {
+      "content": "[XXXXX27]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50469": {
+      "content": "[XXXXX907]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50470": {
+      "content": "[XXXXX1109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50471": {
+      "content": "[XXXXX1147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50472": {
+      "content": "[XXXXX501]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50473": {
+      "content": "[XXXXX1164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50474": {
+      "content": "[XXXXX650]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50475": {
+      "content": "[XXXXX329]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50476": {
+      "content": "[XXXXX659]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50477": {
+      "content": "[XXXXX1158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50478": {
+      "content": "[XXXXX104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50479": {
+      "content": "[XXXXX629]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50480": {
+      "content": "[XXXXX868]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50481": {
+      "content": "[XXXXX779]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50482": {
+      "content": "[XXXXX17]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50483": {
+      "content": "[XXXXX377]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50484": {
+      "content": "[XXXXX467]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50485": {
+      "content": "[XXXXX917]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50486": {
+      "content": "[XXXXX830]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50487": {
+      "content": "[XXXXX533]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50488": {
+      "content": "[XXXXX862]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50489": {
+      "content": "[XXXXX1041]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50490": {
+      "content": "[XXXXX542]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50491": {
+      "content": "[XXXXX595]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50492": {
+      "content": "[XXXXX353]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50493": {
+      "content": "[XXXXX181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50494": {
+      "content": "[XXXXX662]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50495": {
+      "content": "[XXXXX1195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50496": {
+      "content": "[XXXXX435]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50497": {
+      "content": "[XXXXX1051]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50498": {
+      "content": "[XXXXX703]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50499": {
+      "content": "[XXXXX1140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50500": {
+      "content": "[XXXXX750]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50501": {
+      "content": "[XXXXX57]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50502": {
+      "content": "[XXXXX75]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50503": {
+      "content": "[XXXXX293]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50504": {
+      "content": "[XXXXX681]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50505": {
+      "content": "[XXXXX46]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50506": {
+      "content": "[XXXXX30]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50507": {
+      "content": "[XXXXX402]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50508": {
+      "content": "[XXXXX803]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50509": {
+      "content": "[XXXXX821]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50510": {
+      "content": "[XXXXX871]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50511": {
+      "content": "[XXXXX980]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50512": {
+      "content": "[XXXXX990]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50513": {
+      "content": "[XXXXX626]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50514": {
+      "content": "[XXXXX90]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50515": {
+      "content": "[XXXXX77]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50516": {
+      "content": "[XXXXX819]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50517": {
+      "content": "[XXXXX436]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50518": {
+      "content": "[XXXXX306]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50519": {
+      "content": "[XXXXX434]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50520": {
+      "content": "[XXXXX88]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50521": {
+      "content": "[XXXXX184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50522": {
+      "content": "[XXXXX290]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50523": {
+      "content": "[XXXXX216]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50524": {
+      "content": "[XXXXX176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50525": {
+      "content": "[XXXXX747]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50526": {
+      "content": "[XXXXX938]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50527": {
+      "content": "[XXXXX442]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50528": {
+      "content": "[XXXXX301]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50529": {
+      "content": "[XXXXX1015]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50530": {
+      "content": "[XXXXX520]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50531": {
+      "content": "[XXXXX829]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50532": {
+      "content": "[XXXXX106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50533": {
+      "content": "[XXXXX1048]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50534": {
+      "content": "[XXXXX923]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50535": {
+      "content": "[XXXXX958]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50536": {
+      "content": "[XXXXX1130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50537": {
+      "content": "[XXXXX89]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50538": {
+      "content": "[XXXXX548]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50539": {
+      "content": "[XXXXX863]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50540": {
+      "content": "[XXXXX444]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50541": {
+      "content": "[XXXXX1149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50542": {
+      "content": "[XXXXX866]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50543": {
+      "content": "[XXXXX109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50544": {
+      "content": "[XXXXX550]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50545": {
+      "content": "[XXXXX727]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50546": {
+      "content": "[XXXXX646]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50547": {
+      "content": "[XXXXX702]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50548": {
+      "content": "[XXXXX204]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50549": {
+      "content": "[XXXXX1000]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50550": {
+      "content": "[XXXXX591]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50551": {
+      "content": "[XXXXX1128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50552": {
+      "content": "[XXXXX937]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50553": {
+      "content": "[XXXXX141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50554": {
+      "content": "[XXXXX273]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50555": {
+      "content": "[XXXXX1183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50556": {
+      "content": "[XXXXX765]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50557": {
+      "content": "[XXXXX371]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50558": {
+      "content": "[XXXXX256]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50559": {
+      "content": "[XXXXX964]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50560": {
+      "content": "[XXXXX1148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50561": {
+      "content": "[XXXXX930]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50562": {
+      "content": "[XXXXX212]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50563": {
+      "content": "[XXXXX133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50564": {
+      "content": "[XXXXX608]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50565": {
+      "content": "[XXXXX281]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50566": {
+      "content": "[XXXXX1045]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50567": {
+      "content": "[XXXXX928]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50568": {
+      "content": "[XXXXX1154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50569": {
+      "content": "[XXXXX334]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50570": {
+      "content": "[XXXXX861]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50571": {
+      "content": "[XXXXX87]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50572": {
+      "content": "[XXXXX941]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50573": {
+      "content": "[XXXXX359]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50574": {
+      "content": "[XXXXX55]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50575": {
+      "content": "[XXXXX842]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50576": {
+      "content": "[XXXXX427]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50577": {
+      "content": "[XXXXX491]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50578": {
+      "content": "[XXXXX137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50579": {
+      "content": "[XXXXX47]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50580": {
+      "content": "[XXXXX511]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50581": {
+      "content": "[XXXXX81]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50582": {
+      "content": "[XXXXX139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50583": {
+      "content": "[XXXXX226]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50584": {
+      "content": "[XXXXX563]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50585": {
+      "content": "[XXXXX708]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50586": {
+      "content": "[XXXXX820]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50587": {
+      "content": "[XXXXX65]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50588": {
+      "content": "[XXXXX381]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50589": {
+      "content": "[XXXXX22]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50590": {
+      "content": "[XXXXX1064]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50591": {
+      "content": "[XXXXX874]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50592": {
+      "content": "[XXXXX944]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50593": {
+      "content": "[XXXXX6]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50594": {
+      "content": "[XXXXX313]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50595": {
+      "content": "[XXXXX471]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50596": {
+      "content": "[XXXXX1118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50597": {
+      "content": "[XXXXX849]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50598": {
+      "content": "[XXXXX483]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50599": {
+      "content": "[XXXXX713]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50600": {
+      "content": "[XXXXX222]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50601": {
+      "content": "[XXXXX640]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50602": {
+      "content": "[XXXXX12]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50603": {
+      "content": "[XXXXX285]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50604": {
+      "content": "[XXXXX327]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50605": {
+      "content": "[XXXXX378]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50606": {
+      "content": "[XXXXX790]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50607": {
+      "content": "[XXXXX1179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50608": {
+      "content": "[XXXXX15]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50609": {
+      "content": "[XXXXX229]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50610": {
+      "content": "[XXXXX771]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50611": {
+      "content": "[XXXXX559]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50612": {
+      "content": "[XXXXX253]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50613": {
+      "content": "[XXXXX644]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50614": {
+      "content": "[XXXXX811]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50615": {
+      "content": "[XXXXX554]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50616": {
+      "content": "[XXXXX744]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50617": {
+      "content": "[XXXXX786]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50618": {
+      "content": "[XXXXX913]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50619": {
+      "content": "[XXXXX966]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50620": {
+      "content": "[XXXXX972]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50621": {
+      "content": "[XXXXX664]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50622": {
+      "content": "[XXXXX1131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50623": {
+      "content": "[XXXXX1132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50624": {
+      "content": "[XXXXX376]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50625": {
+      "content": "[XXXXX672]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50626": {
+      "content": "[XXXXX1013]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50627": {
+      "content": "[XXXXX328]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50628": {
+      "content": "[XXXXX889]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50629": {
+      "content": "[XXXXX1141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50630": {
+      "content": "[XXXXX429]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50631": {
+      "content": "[XXXXX114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50632": {
+      "content": "[XXXXX523]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50633": {
+      "content": "[XXXXX833]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50634": {
+      "content": "[XXXXX927]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50635": {
+      "content": "[XXXXX297]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50636": {
+      "content": "[XXXXX812]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50637": {
+      "content": "[XXXXX1062]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50638": {
+      "content": "[XXXXX152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50639": {
+      "content": "[XXXXX1010]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50640": {
+      "content": "[XXXXX690]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50641": {
+      "content": "[XXXXX363]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50642": {
+      "content": "[XXXXX1103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50643": {
+      "content": "[XXXXX194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50644": {
+      "content": "[XXXXX844]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50645": {
+      "content": "[XXXXX667]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50646": {
+      "content": "[XXXXX720]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50647": {
+      "content": "[XXXXX770]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50648": {
+      "content": "[XXXXX515]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50649": {
+      "content": "[XXXXX196]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50650": {
+      "content": "[XXXXX283]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50651": {
+      "content": "[XXXXX95]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50652": {
+      "content": "[XXXXX528]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50653": {
+      "content": "[XXXXX749]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50654": {
+      "content": "[XXXXX934]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50655": {
+      "content": "[XXXXX1052]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50656": {
+      "content": "[XXXXX1188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50657": {
+      "content": "[XXXXX1001]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50658": {
+      "content": "[XXXXX785]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50659": {
+      "content": "[XXXXX393]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50660": {
+      "content": "[XXXXX502]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50661": {
+      "content": "[XXXXX404]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50662": {
+      "content": "[XXXXX129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50663": {
+      "content": "[XXXXX643]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50664": {
+      "content": "[XXXXX1086]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50665": {
+      "content": "[XXXXX1104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50666": {
+      "content": "[XXXXX326]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50667": {
+      "content": "[XXXXX330]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50668": {
+      "content": "[XXXXX620]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50669": {
+      "content": "[XXXXX193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50670": {
+      "content": "[XXXXX470]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50671": {
+      "content": "[XXXXX279]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50672": {
+      "content": "[XXXXX97]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50673": {
+      "content": "[XXXXX177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50674": {
+      "content": "[XXXXX510]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50675": {
+      "content": "[XXXXX225]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50676": {
+      "content": "[XXXXX572]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50677": {
+      "content": "[XXXXX777]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50678": {
+      "content": "[XXXXX1135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50679": {
+      "content": "[XXXXX1160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50680": {
+      "content": "[XXXXX558]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50681": {
+      "content": "[XXXXX416]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50682": {
+      "content": "[XXXXX246]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50683": {
+      "content": "[XXXXX799]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50684": {
+      "content": "[XXXXX153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50685": {
+      "content": "[XXXXX671]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50686": {
+      "content": "[XXXXX809]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50687": {
+      "content": "[XXXXX525]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50688": {
+      "content": "[XXXXX1004]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50689": {
+      "content": "[XXXXX1005]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50690": {
+      "content": "[XXXXX1194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50691": {
+      "content": "[XXXXX408]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50692": {
+      "content": "[XXXXX492]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50693": {
+      "content": "[XXXXX973]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50694": {
+      "content": "[XXXXX242]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50695": {
+      "content": "[XXXXX357]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50696": {
+      "content": "[XXXXX851]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50697": {
+      "content": "[XXXXX999]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50698": {
+      "content": "[XXXXX969]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50699": {
+      "content": "[XXXXX453]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50700": {
+      "content": "[XXXXX730]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50701": {
+      "content": "[XXXXX54]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50702": {
+      "content": "[XXXXX480]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50703": {
+      "content": "[XXXXX564]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50704": {
+      "content": "[XXXXX600]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50705": {
+      "content": "[XXXXX654]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50706": {
+      "content": "[XXXXX37]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50707": {
+      "content": "[XXXXX605]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50708": {
+      "content": "[XXXXX164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50709": {
+      "content": "[XXXXX395]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50710": {
+      "content": "[XXXXX401]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50711": {
+      "content": "[XXXXX446]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50712": {
+      "content": "[XXXXX658]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50713": {
+      "content": "[XXXXX60]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50714": {
+      "content": "[XXXXX107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50715": {
+      "content": "[XXXXX131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50716": {
+      "content": "[XXXXX387]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50717": {
+      "content": "[XXXXX67]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50718": {
+      "content": "[XXXXX743]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50719": {
+      "content": "[XXXXX657]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50720": {
+      "content": "[XXXXX418]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50721": {
+      "content": "[XXXXX787]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50722": {
+      "content": "[XXXXX838]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50723": {
+      "content": "[XXXXX298]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50724": {
+      "content": "[XXXXX1007]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50725": {
+      "content": "[XXXXX1027]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50726": {
+      "content": "[XXXXX1078]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50727": {
+      "content": "[XXXXX651]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50728": {
+      "content": "[XXXXX875]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50729": {
+      "content": "[XXXXX258]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50730": {
+      "content": "[XXXXX413]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50731": {
+      "content": "[XXXXX1092]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50732": {
+      "content": "[XXXXX124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50733": {
+      "content": "[XXXXX308]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50734": {
+      "content": "[XXXXX1085]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50735": {
+      "content": "[XXXXX1170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50736": {
+      "content": "[XXXXX38]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50737": {
+      "content": "[XXXXX438]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50738": {
+      "content": "[XXXXX475]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50739": {
+      "content": "[XXXXX900]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50740": {
+      "content": "[XXXXX263]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50741": {
+      "content": "[XXXXX166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50742": {
+      "content": "[XXXXX698]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50743": {
+      "content": "[XXXXX1127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50744": {
+      "content": "[XXXXX1181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50745": {
+      "content": "[XXXXX763]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50746": {
+      "content": "[XXXXX627]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50747": {
+      "content": "[XXXXX250]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50748": {
+      "content": "[XXXXX757]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50749": {
+      "content": "[XXXXX142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50750": {
+      "content": "[XXXXX794]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50751": {
+      "content": "[XXXXX128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50752": {
+      "content": "[XXXXX35]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50753": {
+      "content": "[XXXXX482]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50754": {
+      "content": "[XXXXX834]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50755": {
+      "content": "[XXXXX679]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50756": {
+      "content": "[XXXXX839]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50757": {
+      "content": "[XXXXX138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50758": {
+      "content": "[XXXXX1066]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50759": {
+      "content": "[XXXXX116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50760": {
+      "content": "[XXXXX317]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50761": {
+      "content": "[XXXXX490]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50762": {
+      "content": "[XXXXX443]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50763": {
+      "content": "[XXXXX879]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50764": {
+      "content": "[XXXXX1101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50765": {
+      "content": "[XXXXX711]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50766": {
+      "content": "[XXXXX123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50767": {
+      "content": "[XXXXX1152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50768": {
+      "content": "[XXXXX692]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50769": {
+      "content": "[XXXXX555]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50770": {
+      "content": "[XXXXX266]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50771": {
+      "content": "[XXXXX0]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50772": {
+      "content": "[XXXXX332]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50773": {
+      "content": "[XXXXX497]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50774": {
+      "content": "[XXXXX904]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50775": {
+      "content": "[XXXXX1019]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50776": {
+      "content": "[XXXXX709]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50777": {
+      "content": "[XXXXX351]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50778": {
+      "content": "[XXXXX764]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50779": {
+      "content": "[XXXXX625]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50780": {
+      "content": "[XXXXX798]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50781": {
+      "content": "[XXXXX205]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50782": {
+      "content": "[XXXXX922]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50783": {
+      "content": "[XXXXX1075]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50784": {
+      "content": "[XXXXX8]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50785": {
+      "content": "[XXXXX422]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50786": {
+      "content": "[XXXXX638]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50787": {
+      "content": "[XXXXX98]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50788": {
+      "content": "[XXXXX814]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50789": {
+      "content": "[XXXXX1057]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50790": {
+      "content": "[XXXXX1070]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50791": {
+      "content": "[XXXXX411]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50792": {
+      "content": "[XXXXX768]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50793": {
+      "content": "[XXXXX1165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50794": {
+      "content": "[XXXXX888]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50795": {
+      "content": "[XXXXX636]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50796": {
+      "content": "[XXXXX1047]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50797": {
+      "content": "[XXXXX960]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50798": {
+      "content": "[XXXXX910]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50799": {
+      "content": "[XXXXX42]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50800": {
+      "content": "[XXXXX238]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50801": {
+      "content": "[XXXXX383]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50802": {
+      "content": "[XXXXX1032]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50803": {
+      "content": "[XXXXX577]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50804": {
+      "content": "[XXXXX268]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50805": {
+      "content": "[XXXXX179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50806": {
+      "content": "[XXXXX1076]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50807": {
+      "content": "[XXXXX1167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50808": {
+      "content": "[XXXXX1172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50809": {
+      "content": "[XXXXX665]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50810": {
+      "content": "[XXXXX126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50811": {
+      "content": "[XXXXX347]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50812": {
+      "content": "[XXXXX544]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50813": {
+      "content": "[XXXXX1026]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50814": {
+      "content": "[XXXXX159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50815": {
+      "content": "[XXXXX503]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50816": {
+      "content": "[XXXXX583]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50817": {
+      "content": "[XXXXX668]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50818": {
+      "content": "[XXXXX1115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50819": {
+      "content": "[XXXXX112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50820": {
+      "content": "[XXXXX154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50821": {
+      "content": "[XXXXX761]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50822": {
+      "content": "[XXXXX540]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50823": {
+      "content": "[XXXXX755]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50824": {
+      "content": "[XXXXX255]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50825": {
+      "content": "[XXXXX459]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50826": {
+      "content": "[XXXXX1090]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50827": {
+      "content": "[XXXXX689]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50828": {
+      "content": "[XXXXX589]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50829": {
+      "content": "[XXXXX122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50830": {
+      "content": "[XXXXX789]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50831": {
+      "content": "[XXXXX481]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50832": {
+      "content": "[XXXXX1044]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50833": {
+      "content": "[XXXXX274]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50834": {
+      "content": "[XXXXX957]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50835": {
+      "content": "[XXXXX1121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50836": {
+      "content": "[XXXXX464]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50837": {
+      "content": "[XXXXX495]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50838": {
+      "content": "[XXXXX1097]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50839": {
+      "content": "[XXXXX581]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50840": {
+      "content": "[XXXXX200]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50841": {
+      "content": "[XXXXX954]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50842": {
+      "content": "[XXXXX48]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50843": {
+      "content": "[XXXXX855]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50844": {
+      "content": "[XXXXX419]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50845": {
+      "content": "[XXXXX919]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50846": {
+      "content": "[XXXXX451]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50847": {
+      "content": "[XXXXX869]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50848": {
+      "content": "[XXXXX1082]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50849": {
+      "content": "[XXXXX1185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50850": {
+      "content": "[XXXXX859]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50851": {
+      "content": "[XXXXX1139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50852": {
+      "content": "[XXXXX1072]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50853": {
+      "content": "[XXXXX220]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50854": {
+      "content": "[XXXXX465]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50855": {
+      "content": "[XXXXX1105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50856": {
+      "content": "[XXXXX1093]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50857": {
+      "content": "[XXXXX953]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50858": {
+      "content": "[XXXXX1187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50859": {
+      "content": "[XXXXX311]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50860": {
+      "content": "[XXXXX403]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50861": {
+      "content": "[XXXXX684]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50862": {
+      "content": "[XXXXX426]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50863": {
+      "content": "[XXXXX68]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50864": {
+      "content": "[XXXXX277]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50865": {
+      "content": "[XXXXX437]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50866": {
+      "content": "[XXXXX896]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50867": {
+      "content": "[XXXXX899]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50868": {
+      "content": "[XXXXX878]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50869": {
+      "content": "[XXXXX1073]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50870": {
+      "content": "[XXXXX774]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50871": {
+      "content": "[XXXXX315]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50872": {
+      "content": "[XXXXX631]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50873": {
+      "content": "[XXXXX223]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50874": {
+      "content": "[XXXXX86]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50875": {
+      "content": "[XXXXX607]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50876": {
+      "content": "[XXXXX149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50877": {
+      "content": "[XXXXX566]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50878": {
+      "content": "[XXXXX740]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50879": {
+      "content": "[XXXXX265]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50880": {
+      "content": "[XXXXX399]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50881": {
+      "content": "[XXXXX1053]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50882": {
+      "content": "[XXXXX1077]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50883": {
+      "content": "[XXXXX336]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50884": {
+      "content": "[XXXXX734]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50885": {
+      "content": "[XXXXX289]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50886": {
+      "content": "[XXXXX221]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50887": {
+      "content": "[XXXXX580]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50888": {
+      "content": "[XXXXX406]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50889": {
+      "content": "[XXXXX854]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50890": {
+      "content": "[XXXXX673]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50891": {
+      "content": "[XXXXX1146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50892": {
+      "content": "[XXXXX29]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50893": {
+      "content": "[XXXXX496]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50894": {
+      "content": "[XXXXX241]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50895": {
+      "content": "[XXXXX929]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50896": {
+      "content": "[XXXXX169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50897": {
+      "content": "[XXXXX1153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50898": {
+      "content": "[XXXXX440]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50899": {
+      "content": "[XXXXX385]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50900": {
+      "content": "[XXXXX499]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50901": {
+      "content": "[XXXXX718]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50902": {
+      "content": "[XXXXX848]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50903": {
+      "content": "[XXXXX877]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50904": {
+      "content": "[XXXXX641]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50905": {
+      "content": "[XXXXX1137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50906": {
+      "content": "[XXXXX269]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50907": {
+      "content": "[XXXXX521]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50908": {
+      "content": "[XXXXX234]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50909": {
+      "content": "[XXXXX987]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50910": {
+      "content": "[XXXXX741]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50911": {
+      "content": "[XXXXX349]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50912": {
+      "content": "[XXXXX93]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50913": {
+      "content": "[XXXXX247]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50914": {
+      "content": "[XXXXX961]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50915": {
+      "content": "[XXXXX1120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50916": {
+      "content": "[XXXXX369]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50917": {
+      "content": "[XXXXX479]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50918": {
+      "content": "[XXXXX892]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50919": {
+      "content": "[XXXXX553]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50920": {
+      "content": "[XXXXX906]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50921": {
+      "content": "[XXXXX571]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50922": {
+      "content": "[XXXXX1046]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50923": {
+      "content": "[XXXXX206]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50924": {
+      "content": "[XXXXX488]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50925": {
+      "content": "[XXXXX445]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50926": {
+      "content": "[XXXXX524]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50927": {
+      "content": "[XXXXX228]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50928": {
+      "content": "[XXXXX998]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50929": {
+      "content": "[XXXXX675]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50930": {
+      "content": "[XXXXX732]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50931": {
+      "content": "[XXXXX1028]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50932": {
+      "content": "[XXXXX494]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50933": {
+      "content": "[XXXXX965]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50934": {
+      "content": "[XXXXX1021]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50935": {
+      "content": "[XXXXX726]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50936": {
+      "content": "[XXXXX168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50937": {
+      "content": "[XXXXX606]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50938": {
+      "content": "[XXXXX974]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50939": {
+      "content": "[XXXXX504]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50940": {
+      "content": "[XXXXX556]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50941": {
+      "content": "[XXXXX1159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50942": {
+      "content": "[XXXXX417]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50943": {
+      "content": "[XXXXX1175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50944": {
+      "content": "[XXXXX1142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50945": {
+      "content": "[XXXXX753]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50946": {
+      "content": "[XXXXX824]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50947": {
+      "content": "[XXXXX251]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50948": {
+      "content": "[XXXXX345]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50949": {
+      "content": "[XXXXX610]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50950": {
+      "content": "[XXXXX276]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50951": {
+      "content": "[XXXXX783]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50952": {
+      "content": "[XXXXX74]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50953": {
+      "content": "[XXXXX1050]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50954": {
+      "content": "[XXXXX71]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50955": {
+      "content": "[XXXXX360]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50956": {
+      "content": "[XXXXX512]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50957": {
+      "content": "[XXXXX341]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50958": {
+      "content": "[XXXXX375]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50959": {
+      "content": "[XXXXX637]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50960": {
+      "content": "[XXXXX1116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50961": {
+      "content": "[XXXXX9]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50962": {
+      "content": "[XXXXX738]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50963": {
+      "content": "[XXXXX856]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50964": {
+      "content": "[XXXXX979]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50965": {
+      "content": "[XXXXX825]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50966": {
+      "content": "[XXXXX852]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50967": {
+      "content": "[XXXXX215]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50968": {
+      "content": "[XXXXX91]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50969": {
+      "content": "[XXXXX257]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50970": {
+      "content": "[XXXXX325]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50971": {
+      "content": "[XXXXX368]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50972": {
+      "content": "[XXXXX1124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50973": {
+      "content": "[XXXXX188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50974": {
+      "content": "[XXXXX905]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50975": {
+      "content": "[XXXXX284]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50976": {
+      "content": "[XXXXX11]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50977": {
+      "content": "[XXXXX83]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50978": {
+      "content": "[XXXXX611]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50979": {
+      "content": "[XXXXX51]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50980": {
+      "content": "[XXXXX99]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50981": {
+      "content": "[XXXXX288]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50982": {
+      "content": "[XXXXX945]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50983": {
+      "content": "[XXXXX975]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50984": {
+      "content": "[XXXXX282]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50985": {
+      "content": "[XXXXX1068]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50986": {
+      "content": "[XXXXX1180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50987": {
+      "content": "[XXXXX574]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50988": {
+      "content": "[XXXXX305]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50989": {
+      "content": "[XXXXX565]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50990": {
+      "content": "[XXXXX865]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50991": {
+      "content": "[XXXXX1014]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50992": {
+      "content": "[XXXXX1138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50993": {
+      "content": "[XXXXX134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50994": {
+      "content": "[XXXXX321]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50995": {
+      "content": "[XXXXX752]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50996": {
+      "content": "[XXXXX108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50997": {
+      "content": "[XXXXX339]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50998": {
+      "content": "[XXXXX893]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50999": {
+      "content": "[XXXXX1177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51000": {
+      "content": "[XXXXX988]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51001": {
+      "content": "[XXXXX719]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51002": {
+      "content": "[XXXXX1059]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51003": {
+      "content": "[XXXXX421]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51004": {
+      "content": "[XXXXX670]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51005": {
+      "content": "[XXXXX949]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51006": {
+      "content": "[XXXXX14]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51007": {
+      "content": "[XXXXX1087]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51008": {
+      "content": "[XXXXX382]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51009": {
+      "content": "[XXXXX531]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51010": {
+      "content": "[XXXXX1079]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51011": {
+      "content": "[XXXXX1067]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51012": {
+      "content": "[XXXXX655]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51013": {
+      "content": "[XXXXX340]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51014": {
+      "content": "[XXXXX398]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51015": {
+      "content": "[XXXXX175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51016": {
+      "content": "[XXXXX232]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51017": {
+      "content": "[XXXXX244]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51018": {
+      "content": "[XXXXX568]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51019": {
+      "content": "[XXXXX1110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51020": {
+      "content": "[XXXXX191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51021": {
+      "content": "[XXXXX931]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51022": {
+      "content": "[XXXXX832]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51023": {
+      "content": "[XXXXX1030]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51024": {
+      "content": "[XXXXX144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51025": {
+      "content": "[XXXXX1102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51026": {
+      "content": "[XXXXX300]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51027": {
+      "content": "[XXXXX996]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51028": {
+      "content": "[XXXXX248]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51029": {
+      "content": "[XXXXX66]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51030": {
+      "content": "[XXXXX735]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51031": {
+      "content": "[XXXXX20]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51032": {
+      "content": "[XXXXX694]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51033": {
+      "content": "[XXXXX845]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51034": {
+      "content": "[XXXXX500]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51035": {
+      "content": "[XXXXX613]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51036": {
+      "content": "[XXXXX117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51037": {
+      "content": "[XXXXX886]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51038": {
+      "content": "[XXXXX261]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51039": {
+      "content": "[XXXXX567]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51040": {
+      "content": "[XXXXX541]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51041": {
+      "content": "[XXXXX529]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51042": {
+      "content": "[XXXXX699]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51043": {
+      "content": "[XXXXX715]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51044": {
+      "content": "[XXXXX1003]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51045": {
+      "content": "[XXXXX518]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51046": {
+      "content": "[XXXXX891]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51047": {
+      "content": "[XXXXX192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51048": {
+      "content": "[XXXXX53]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51049": {
+      "content": "[XXXXX428]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51050": {
+      "content": "[XXXXX183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51051": {
+      "content": "[XXXXX850]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51052": {
+      "content": "[XXXXX539]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51053": {
+      "content": "[XXXXX527]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51054": {
+      "content": "[XXXXX660]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51055": {
+      "content": "[XXXXX409]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51056": {
+      "content": "[XXXXX1122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51057": {
+      "content": "[XXXXX898]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51058": {
+      "content": "[XXXXX858]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51059": {
+      "content": "[XXXXX534]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51060": {
+      "content": "[XXXXX756]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51061": {
+      "content": "[XXXXX63]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51062": {
+      "content": "[XXXXX49]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51063": {
+      "content": "[XXXXX1106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51064": {
+      "content": "[XXXXX111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51065": {
+      "content": "[XXXXX955]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51066": {
+      "content": "[XXXXX309]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51067": {
+      "content": "[XXXXX538]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51068": {
+      "content": "[XXXXX823]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51069": {
+      "content": "[XXXXX867]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51070": {
+      "content": "[XXXXX587]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51071": {
+      "content": "[XXXXX243]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51072": {
+      "content": "[XXXXX677]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51073": {
+      "content": "[XXXXX1017]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51074": {
+      "content": "[XXXXX173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51075": {
+      "content": "[XXXXX682]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51076": {
+      "content": "[XXXXX1184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51077": {
+      "content": "[XXXXX1009]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51078": {
+      "content": "[XXXXX704]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51079": {
+      "content": "[XXXXX532]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51080": {
+      "content": "[XXXXX901]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51081": {
+      "content": "[XXXXX120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51082": {
+      "content": "[XXXXX388]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51083": {
+      "content": "[XXXXX405]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51084": {
+      "content": "[XXXXX788]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51085": {
+      "content": "[XXXXX728]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51086": {
+      "content": "[XXXXX425]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51087": {
+      "content": "[XXXXX883]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51088": {
+      "content": "[XXXXX837]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51089": {
+      "content": "[XXXXX350]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51090": {
+      "content": "[XXXXX716]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51091": {
+      "content": "[XXXXX579]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51092": {
+      "content": "[XXXXX909]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51093": {
+      "content": "[XXXXX884]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51094": {
+      "content": "[XXXXX1011]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51095": {
+      "content": "[XXXXX372]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51096": {
+      "content": "[XXXXX370]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51097": {
+      "content": "[XXXXX468]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51098": {
+      "content": "[XXXXX688]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51099": {
+      "content": "[XXXXX56]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51100": {
+      "content": "[XXXXX653]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51101": {
+      "content": "[XXXXX623]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51102": {
+      "content": "[XXXXX552]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51103": {
+      "content": "[XXXXX314]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51104": {
+      "content": "[XXXXX1018]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51105": {
+      "content": "[XXXXX1091]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51106": {
+      "content": "[XXXXX342]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51107": {
+      "content": "[XXXXX1065]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51108": {
+      "content": "[XXXXX1161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51109": {
+      "content": "[XXXXX959]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51110": {
+      "content": "[XXXXX1035]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51111": {
+      "content": "[XXXXX530]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51112": {
+      "content": "[XXXXX69]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51113": {
+      "content": "[XXXXX489]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51114": {
+      "content": "[XXXXX1]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51115": {
+      "content": "[XXXXX207]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51116": {
+      "content": "[XXXXX433]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51117": {
+      "content": "[XXXXX358]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51118": {
+      "content": "[XXXXX601]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51119": {
+      "content": "[XXXXX2]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51120": {
+      "content": "[XXXXX722]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51121": {
+      "content": "[XXXXX985]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51122": {
+      "content": "[XXXXX908]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51123": {
+      "content": "[XXXXX1024]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51124": {
+      "content": "[XXXXX1111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51125": {
+      "content": "[XXXXX1113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51126": {
+      "content": "[XXXXX678]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51127": {
+      "content": "[XXXXX19]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51128": {
+      "content": "[XXXXX1186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51129": {
+      "content": "[XXXXX808]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51130": {
+      "content": "[XXXXX493]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51131": {
+      "content": "[XXXXX1155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51132": {
+      "content": "[XXXXX217]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51133": {
+      "content": "[XXXXX616]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51134": {
+      "content": "[XXXXX835]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51135": {
+      "content": "[XXXXX994]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51136": {
+      "content": "[XXXXX484]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51137": {
+      "content": "[XXXXX362]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51138": {
+      "content": "[XXXXX582]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51139": {
+      "content": "[XXXXX1034]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51140": {
+      "content": "[XXXXX772]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51141": {
+      "content": "[XXXXX457]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51142": {
+      "content": "[XXXXX604]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51143": {
+      "content": "[XXXXX456]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51144": {
+      "content": "[XXXXX145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51145": {
+      "content": "[XXXXX476]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51146": {
+      "content": "[XXXXX218]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51147": {
+      "content": "[XXXXX199]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51148": {
+      "content": "[XXXXX364]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51149": {
+      "content": "[XXXXX302]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51150": {
+      "content": "[XXXXX881]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51151": {
+      "content": "[XXXXX1088]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51152": {
+      "content": "[XXXXX356]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51153": {
+      "content": "[XXXXX936]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51154": {
+      "content": "[XXXXX978]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51155": {
+      "content": "[XXXXX895]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51156": {
+      "content": "[XXXXX993]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51157": {
+      "content": "[XXXXX458]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51158": {
+      "content": "[XXXXX1002]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51159": {
+      "content": "[XXXXX1022]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51160": {
+      "content": "[XXXXX25]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51161": {
+      "content": "[XXXXX766]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51162": {
+      "content": "[XXXXX64]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51163": {
+      "content": "[XXXXX211]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51164": {
+      "content": "[XXXXX82]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51165": {
+      "content": "[XXXXX634]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51166": {
+      "content": "[XXXXX661]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51167": {
+      "content": "[XXXXX748]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51168": {
+      "content": "[XXXXX778]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51169": {
+      "content": "[XXXXX24]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51170": {
+      "content": "[XXXXX448]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51171": {
+      "content": "[XXXXX887]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51172": {
+      "content": "[XXXXX890]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51173": {
+      "content": "[XXXXX754]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51174": {
+      "content": "[XXXXX343]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51175": {
+      "content": "[XXXXX1069]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51176": {
+      "content": "[XXXXX294]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51177": {
+      "content": "[XXXXX295]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51178": {
+      "content": "[XXXXX197]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51179": {
+      "content": "[XXXXX210]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51180": {
+      "content": "[XXXXX630]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51181": {
+      "content": "[XXXXX707]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51182": {
+      "content": "[XXXXX864]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51183": {
+      "content": "[XXXXX391]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51184": {
+      "content": "[XXXXX338]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51185": {
+      "content": "[XXXXX800]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51186": {
+      "content": "[XXXXX841]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51187": {
+      "content": "[XXXXX967]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51188": {
+      "content": "[XXXXX793]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51189": {
+      "content": "[XXXXX916]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51190": {
+      "content": "[XXXXX603]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51191": {
+      "content": "[XXXXX270]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51192": {
+      "content": "[XXXXX105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51193": {
+      "content": "[XXXXX1016]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51194": {
+      "content": "[XXXXX804]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51195": {
+      "content": "[XXXXX264]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51196": {
+      "content": "[XXXXX155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51197": {
+      "content": "[XXXXX1190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51198": {
+      "content": "[XXXXX813]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51199": {
+      "content": "[XXXXX546]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "keep_accents": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}
diff --git a/checkpoint-11000/trainer_state.json b/checkpoint-11000/trainer_state.json
new file mode 100644
index 0000000..902a7da
--- /dev/null
+++ b/checkpoint-11000/trainer_state.json
@@ -0,0 +1,22276 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 9.113504556752279,
+  "eval_steps": 500,
+  "global_step": 11000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "entropy": 7.218191003799438,
+      "epoch": 0.004142502071251036,
+      "grad_norm": 1.265625,
+      "learning_rate": 2e-06,
+      "loss": 6.8898,
+      "mean_token_accuracy": 0.08805170804262161,
+      "num_tokens": 9149.0,
+      "step": 5
+    },
+    {
+      "entropy": 7.191673707962036,
+      "epoch": 0.008285004142502071,
+      "grad_norm": 1.5078125,
+      "learning_rate": 4.5e-06,
+      "loss": 6.7268,
+      "mean_token_accuracy": 0.09304728880524635,
+      "num_tokens": 16800.0,
+      "step": 10
+    },
+    {
+      "entropy": 7.134524202346801,
+      "epoch": 0.012427506213753107,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7e-06,
+      "loss": 6.8905,
+      "mean_token_accuracy": 0.0921505056321621,
+      "num_tokens": 26617.0,
+      "step": 15
+    },
+    {
+      "entropy": 7.115550088882446,
+      "epoch": 0.016570008285004142,
+      "grad_norm": 1.25,
+      "learning_rate": 9.5e-06,
+      "loss": 6.8021,
+      "mean_token_accuracy": 0.09268744736909866,
+      "num_tokens": 35855.0,
+      "step": 20
+    },
+    {
+      "entropy": 7.12396879196167,
+      "epoch": 0.020712510356255178,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.2e-05,
+      "loss": 7.0094,
+      "mean_token_accuracy": 0.08752714470028877,
+      "num_tokens": 45644.0,
+      "step": 25
+    },
+    {
+      "entropy": 7.054446792602539,
+      "epoch": 0.024855012427506214,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.4500000000000002e-05,
+      "loss": 6.8922,
+      "mean_token_accuracy": 0.09398627206683159,
+      "num_tokens": 54641.0,
+      "step": 30
+    },
+    {
+      "entropy": 7.012255907058716,
+      "epoch": 0.02899751449875725,
+      "grad_norm": 1.0234375,
+      "learning_rate": 1.7000000000000003e-05,
+      "loss": 6.7519,
+      "mean_token_accuracy": 0.08958807587623596,
+      "num_tokens": 63924.0,
+      "step": 35
+    },
+    {
+      "entropy": 7.068031549453735,
+      "epoch": 0.033140016570008285,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.95e-05,
+      "loss": 6.89,
+      "mean_token_accuracy": 0.09437783882021904,
+      "num_tokens": 73452.0,
+      "step": 40
+    },
+    {
+      "entropy": 7.06072301864624,
+      "epoch": 0.037282518641259324,
+      "grad_norm": 1.0234375,
+      "learning_rate": 2.2e-05,
+      "loss": 6.9455,
+      "mean_token_accuracy": 0.0851291574537754,
+      "num_tokens": 82731.0,
+      "step": 45
+    },
+    {
+      "entropy": 7.090083169937134,
+      "epoch": 0.041425020712510356,
+      "grad_norm": 1.1015625,
+      "learning_rate": 2.4500000000000003e-05,
+      "loss": 6.7734,
+      "mean_token_accuracy": 0.09048294499516488,
+      "num_tokens": 92626.0,
+      "step": 50
+    },
+    {
+      "entropy": 7.149203157424926,
+      "epoch": 0.045567522783761395,
+      "grad_norm": 1.21875,
+      "learning_rate": 2.7e-05,
+      "loss": 6.9497,
+      "mean_token_accuracy": 0.08217904865741729,
+      "num_tokens": 101380.0,
+      "step": 55
+    },
+    {
+      "entropy": 7.119951963424683,
+      "epoch": 0.04971002485501243,
+      "grad_norm": 1.046875,
+      "learning_rate": 2.95e-05,
+      "loss": 6.8604,
+      "mean_token_accuracy": 0.09202293381094932,
+      "num_tokens": 109895.0,
+      "step": 60
+    },
+    {
+      "entropy": 7.2014998435974125,
+      "epoch": 0.053852526926263466,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.2e-05,
+      "loss": 6.8449,
+      "mean_token_accuracy": 0.09257669150829315,
+      "num_tokens": 119203.0,
+      "step": 65
+    },
+    {
+      "entropy": 7.1111664295196535,
+      "epoch": 0.0579950289975145,
+      "grad_norm": 1.1484375,
+      "learning_rate": 3.4500000000000005e-05,
+      "loss": 6.7903,
+      "mean_token_accuracy": 0.09657297283411026,
+      "num_tokens": 127572.0,
+      "step": 70
+    },
+    {
+      "entropy": 7.04930944442749,
+      "epoch": 0.06213753106876554,
+      "grad_norm": 1.03125,
+      "learning_rate": 3.7e-05,
+      "loss": 6.8304,
+      "mean_token_accuracy": 0.09063600301742554,
+      "num_tokens": 137161.0,
+      "step": 75
+    },
+    {
+      "entropy": 7.044711875915527,
+      "epoch": 0.06628003314001657,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.95e-05,
+      "loss": 6.9451,
+      "mean_token_accuracy": 0.08874713778495788,
+      "num_tokens": 145991.0,
+      "step": 80
+    },
+    {
+      "entropy": 7.130092525482178,
+      "epoch": 0.07042253521126761,
+      "grad_norm": 1.0546875,
+      "learning_rate": 4.2000000000000004e-05,
+      "loss": 6.8464,
+      "mean_token_accuracy": 0.08955071866512299,
+      "num_tokens": 154927.0,
+      "step": 85
+    },
+    {
+      "entropy": 7.090402746200562,
+      "epoch": 0.07456503728251865,
+      "grad_norm": 1.34375,
+      "learning_rate": 4.45e-05,
+      "loss": 6.7595,
+      "mean_token_accuracy": 0.09832768961787224,
+      "num_tokens": 163234.0,
+      "step": 90
+    },
+    {
+      "entropy": 7.08957576751709,
+      "epoch": 0.07870753935376967,
+      "grad_norm": 1.015625,
+      "learning_rate": 4.7000000000000004e-05,
+      "loss": 6.7163,
+      "mean_token_accuracy": 0.09379880875349045,
+      "num_tokens": 171554.0,
+      "step": 95
+    },
+    {
+      "entropy": 7.044517278671265,
+      "epoch": 0.08285004142502071,
+      "grad_norm": 1.1328125,
+      "learning_rate": 4.9500000000000004e-05,
+      "loss": 6.8173,
+      "mean_token_accuracy": 0.0955286517739296,
+      "num_tokens": 180171.0,
+      "step": 100
+    },
+    {
+      "entropy": 7.050950908660889,
+      "epoch": 0.08699254349627175,
+      "grad_norm": 1.0859375,
+      "learning_rate": 5.2e-05,
+      "loss": 6.761,
+      "mean_token_accuracy": 0.09741089940071106,
+      "num_tokens": 189216.0,
+      "step": 105
+    },
+    {
+      "entropy": 7.173562717437744,
+      "epoch": 0.09113504556752279,
+      "grad_norm": 1.015625,
+      "learning_rate": 5.45e-05,
+      "loss": 6.9519,
+      "mean_token_accuracy": 0.08675800338387489,
+      "num_tokens": 200022.0,
+      "step": 110
+    },
+    {
+      "entropy": 7.183744478225708,
+      "epoch": 0.09527754763877382,
+      "grad_norm": 1.2265625,
+      "learning_rate": 5.7e-05,
+      "loss": 6.8642,
+      "mean_token_accuracy": 0.09210581332445145,
+      "num_tokens": 208686.0,
+      "step": 115
+    },
+    {
+      "entropy": 7.121539115905762,
+      "epoch": 0.09942004971002485,
+      "grad_norm": 1.1875,
+      "learning_rate": 5.9499999999999996e-05,
+      "loss": 6.8829,
+      "mean_token_accuracy": 0.09462191313505172,
+      "num_tokens": 218266.0,
+      "step": 120
+    },
+    {
+      "entropy": 7.006736946105957,
+      "epoch": 0.1035625517812759,
+      "grad_norm": 1.046875,
+      "learning_rate": 6.2e-05,
+      "loss": 6.7523,
+      "mean_token_accuracy": 0.08771666437387467,
+      "num_tokens": 227658.0,
+      "step": 125
+    },
+    {
+      "entropy": 7.040027761459351,
+      "epoch": 0.10770505385252693,
+      "grad_norm": 1.1015625,
+      "learning_rate": 6.450000000000001e-05,
+      "loss": 6.7014,
+      "mean_token_accuracy": 0.1004502885043621,
+      "num_tokens": 236301.0,
+      "step": 130
+    },
+    {
+      "entropy": 7.106470441818237,
+      "epoch": 0.11184755592377796,
+      "grad_norm": 1.1171875,
+      "learning_rate": 6.7e-05,
+      "loss": 6.8424,
+      "mean_token_accuracy": 0.08812138065695763,
+      "num_tokens": 246355.0,
+      "step": 135
+    },
+    {
+      "entropy": 7.174679756164551,
+      "epoch": 0.115990057995029,
+      "grad_norm": 1.15625,
+      "learning_rate": 6.950000000000001e-05,
+      "loss": 6.8174,
+      "mean_token_accuracy": 0.0924198254942894,
+      "num_tokens": 256023.0,
+      "step": 140
+    },
+    {
+      "entropy": 7.10174069404602,
+      "epoch": 0.12013256006628004,
+      "grad_norm": 0.9921875,
+      "learning_rate": 7.2e-05,
+      "loss": 6.9036,
+      "mean_token_accuracy": 0.08638993799686431,
+      "num_tokens": 266893.0,
+      "step": 145
+    },
+    {
+      "entropy": 7.019921684265137,
+      "epoch": 0.12427506213753108,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7.45e-05,
+      "loss": 6.6606,
+      "mean_token_accuracy": 0.08872481286525727,
+      "num_tokens": 276075.0,
+      "step": 150
+    },
+    {
+      "entropy": 7.042754888534546,
+      "epoch": 0.12841756420878211,
+      "grad_norm": 1.25,
+      "learning_rate": 7.7e-05,
+      "loss": 6.7532,
+      "mean_token_accuracy": 0.09296932220458984,
+      "num_tokens": 285529.0,
+      "step": 155
+    },
+    {
+      "entropy": 7.064399909973145,
+      "epoch": 0.13256006628003314,
+      "grad_norm": 1.15625,
+      "learning_rate": 7.950000000000001e-05,
+      "loss": 6.762,
+      "mean_token_accuracy": 0.09406789913773536,
+      "num_tokens": 294403.0,
+      "step": 160
+    },
+    {
+      "entropy": 7.152362823486328,
+      "epoch": 0.13670256835128416,
+      "grad_norm": 1.28125,
+      "learning_rate": 8.2e-05,
+      "loss": 6.8553,
+      "mean_token_accuracy": 0.09358441680669785,
+      "num_tokens": 303507.0,
+      "step": 165
+    },
+    {
+      "entropy": 7.071487474441528,
+      "epoch": 0.14084507042253522,
+      "grad_norm": 1.21875,
+      "learning_rate": 8.450000000000001e-05,
+      "loss": 6.7534,
+      "mean_token_accuracy": 0.09645206108689308,
+      "num_tokens": 312393.0,
+      "step": 170
+    },
+    {
+      "entropy": 6.956210470199585,
+      "epoch": 0.14498757249378624,
+      "grad_norm": 1.0859375,
+      "learning_rate": 8.7e-05,
+      "loss": 6.7226,
+      "mean_token_accuracy": 0.09953253641724587,
+      "num_tokens": 321309.0,
+      "step": 175
+    },
+    {
+      "entropy": 7.2200812816619875,
+      "epoch": 0.1491300745650373,
+      "grad_norm": 1.1328125,
+      "learning_rate": 8.95e-05,
+      "loss": 6.7879,
+      "mean_token_accuracy": 0.09582221284508705,
+      "num_tokens": 330217.0,
+      "step": 180
+    },
+    {
+      "entropy": 6.964824962615967,
+      "epoch": 0.15327257663628832,
+      "grad_norm": 1.2109375,
+      "learning_rate": 9.2e-05,
+      "loss": 6.8296,
+      "mean_token_accuracy": 0.09584516286849976,
+      "num_tokens": 339587.0,
+      "step": 185
+    },
+    {
+      "entropy": 7.104565525054932,
+      "epoch": 0.15741507870753935,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.45e-05,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.09563353508710862,
+      "num_tokens": 349367.0,
+      "step": 190
+    },
+    {
+      "entropy": 6.90956711769104,
+      "epoch": 0.1615575807787904,
+      "grad_norm": 1.1953125,
+      "learning_rate": 9.7e-05,
+      "loss": 6.6535,
+      "mean_token_accuracy": 0.09533214569091797,
+      "num_tokens": 358272.0,
+      "step": 195
+    },
+    {
+      "entropy": 7.184430170059204,
+      "epoch": 0.16570008285004142,
+      "grad_norm": 1.1875,
+      "learning_rate": 9.95e-05,
+      "loss": 6.8847,
+      "mean_token_accuracy": 0.09342379868030548,
+      "num_tokens": 367709.0,
+      "step": 200
+    },
+    {
+      "entropy": 7.108258152008057,
+      "epoch": 0.16984258492129245,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000102,
+      "loss": 6.7363,
+      "mean_token_accuracy": 0.09321728497743606,
+      "num_tokens": 376180.0,
+      "step": 205
+    },
+    {
+      "entropy": 7.143853282928466,
+      "epoch": 0.1739850869925435,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00010449999999999999,
+      "loss": 6.8927,
+      "mean_token_accuracy": 0.08639989122748375,
+      "num_tokens": 385636.0,
+      "step": 210
+    },
+    {
+      "entropy": 7.005528688430786,
+      "epoch": 0.17812758906379453,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000107,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.10387283116579056,
+      "num_tokens": 394486.0,
+      "step": 215
+    },
+    {
+      "entropy": 7.066776275634766,
+      "epoch": 0.18227009113504558,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0001095,
+      "loss": 6.7286,
+      "mean_token_accuracy": 0.09739693626761436,
+      "num_tokens": 403765.0,
+      "step": 220
+    },
+    {
+      "entropy": 6.9391695022583,
+      "epoch": 0.1864125932062966,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000112,
+      "loss": 6.7198,
+      "mean_token_accuracy": 0.09883175939321517,
+      "num_tokens": 412988.0,
+      "step": 225
+    },
+    {
+      "entropy": 7.029045248031617,
+      "epoch": 0.19055509527754763,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0001145,
+      "loss": 6.6219,
+      "mean_token_accuracy": 0.09850638806819915,
+      "num_tokens": 422096.0,
+      "step": 230
+    },
+    {
+      "entropy": 7.055552911758423,
+      "epoch": 0.19469759734879868,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011700000000000001,
+      "loss": 6.7907,
+      "mean_token_accuracy": 0.08912368193268776,
+      "num_tokens": 431333.0,
+      "step": 235
+    },
+    {
+      "entropy": 7.076433277130127,
+      "epoch": 0.1988400994200497,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00011949999999999999,
+      "loss": 6.825,
+      "mean_token_accuracy": 0.0998022735118866,
+      "num_tokens": 440382.0,
+      "step": 240
+    },
+    {
+      "entropy": 7.098494958877564,
+      "epoch": 0.20298260149130073,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000122,
+      "loss": 6.7184,
+      "mean_token_accuracy": 0.1035430908203125,
+      "num_tokens": 448469.0,
+      "step": 245
+    },
+    {
+      "entropy": 7.065437746047974,
+      "epoch": 0.2071251035625518,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001245,
+      "loss": 6.7562,
+      "mean_token_accuracy": 0.0973759837448597,
+      "num_tokens": 457356.0,
+      "step": 250
+    },
+    {
+      "entropy": 7.103154182434082,
+      "epoch": 0.2112676056338028,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000127,
+      "loss": 6.7821,
+      "mean_token_accuracy": 0.09721289053559304,
+      "num_tokens": 465928.0,
+      "step": 255
+    },
+    {
+      "entropy": 6.99681601524353,
+      "epoch": 0.21541010770505387,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0001295,
+      "loss": 6.6931,
+      "mean_token_accuracy": 0.09931288808584213,
+      "num_tokens": 475269.0,
+      "step": 260
+    },
+    {
+      "entropy": 6.960800266265869,
+      "epoch": 0.2195526097763049,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000132,
+      "loss": 6.679,
+      "mean_token_accuracy": 0.09512786641716957,
+      "num_tokens": 485450.0,
+      "step": 265
+    },
+    {
+      "entropy": 7.0514568328857425,
+      "epoch": 0.22369511184755592,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00013450000000000002,
+      "loss": 6.7347,
+      "mean_token_accuracy": 0.10228226557374001,
+      "num_tokens": 494029.0,
+      "step": 270
+    },
+    {
+      "entropy": 6.9516912460327145,
+      "epoch": 0.22783761391880697,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013700000000000002,
+      "loss": 6.676,
+      "mean_token_accuracy": 0.10202871784567832,
+      "num_tokens": 503253.0,
+      "step": 275
+    },
+    {
+      "entropy": 7.018160057067871,
+      "epoch": 0.231980115990058,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0001395,
+      "loss": 6.6685,
+      "mean_token_accuracy": 0.09529435187578202,
+      "num_tokens": 512857.0,
+      "step": 280
+    },
+    {
+      "entropy": 6.9714985370635985,
+      "epoch": 0.23612261806130902,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00014199999999999998,
+      "loss": 6.7719,
+      "mean_token_accuracy": 0.09288227260112762,
+      "num_tokens": 522319.0,
+      "step": 285
+    },
+    {
+      "entropy": 7.113205528259277,
+      "epoch": 0.24026512013256007,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0001445,
+      "loss": 6.7224,
+      "mean_token_accuracy": 0.09471780881285667,
+      "num_tokens": 531469.0,
+      "step": 290
+    },
+    {
+      "entropy": 6.976934480667114,
+      "epoch": 0.2444076222038111,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000147,
+      "loss": 6.756,
+      "mean_token_accuracy": 0.09480062946677208,
+      "num_tokens": 540470.0,
+      "step": 295
+    },
+    {
+      "entropy": 7.011937475204467,
+      "epoch": 0.24855012427506215,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0001495,
+      "loss": 6.7584,
+      "mean_token_accuracy": 0.09700122326612473,
+      "num_tokens": 550317.0,
+      "step": 300
+    },
+    {
+      "entropy": 7.0365160465240475,
+      "epoch": 0.2526926263463132,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000152,
+      "loss": 6.7067,
+      "mean_token_accuracy": 0.09434132501482964,
+      "num_tokens": 559409.0,
+      "step": 305
+    },
+    {
+      "entropy": 6.928857326507568,
+      "epoch": 0.25683512841756423,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00015450000000000001,
+      "loss": 6.768,
+      "mean_token_accuracy": 0.10764710158109665,
+      "num_tokens": 568726.0,
+      "step": 310
+    },
+    {
+      "entropy": 7.103991413116455,
+      "epoch": 0.2609776304888152,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000157,
+      "loss": 6.7179,
+      "mean_token_accuracy": 0.0976541943848133,
+      "num_tokens": 577926.0,
+      "step": 315
+    },
+    {
+      "entropy": 7.047203779220581,
+      "epoch": 0.2651201325600663,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001595,
+      "loss": 6.7448,
+      "mean_token_accuracy": 0.09809661954641342,
+      "num_tokens": 586695.0,
+      "step": 320
+    },
+    {
+      "entropy": 7.039609956741333,
+      "epoch": 0.26926263463131733,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000162,
+      "loss": 6.771,
+      "mean_token_accuracy": 0.0949723981320858,
+      "num_tokens": 596250.0,
+      "step": 325
+    },
+    {
+      "entropy": 7.063632202148438,
+      "epoch": 0.27340513670256833,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00016450000000000001,
+      "loss": 6.8221,
+      "mean_token_accuracy": 0.09051206335425377,
+      "num_tokens": 605761.0,
+      "step": 330
+    },
+    {
+      "entropy": 7.019326877593994,
+      "epoch": 0.2775476387738194,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00016700000000000002,
+      "loss": 6.7365,
+      "mean_token_accuracy": 0.09872144013643265,
+      "num_tokens": 614313.0,
+      "step": 335
+    },
+    {
+      "entropy": 7.037422132492066,
+      "epoch": 0.28169014084507044,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00016950000000000003,
+      "loss": 6.7692,
+      "mean_token_accuracy": 0.09455474764108658,
+      "num_tokens": 624470.0,
+      "step": 340
+    },
+    {
+      "entropy": 7.039082098007202,
+      "epoch": 0.28583264291632143,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00017199999999999998,
+      "loss": 6.6843,
+      "mean_token_accuracy": 0.09269843101501465,
+      "num_tokens": 633458.0,
+      "step": 345
+    },
+    {
+      "entropy": 6.942268037796021,
+      "epoch": 0.2899751449875725,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00017449999999999999,
+      "loss": 6.6939,
+      "mean_token_accuracy": 0.09877684414386749,
+      "num_tokens": 643251.0,
+      "step": 350
+    },
+    {
+      "entropy": 6.99584732055664,
+      "epoch": 0.29411764705882354,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000177,
+      "loss": 6.7635,
+      "mean_token_accuracy": 0.09713540598750114,
+      "num_tokens": 652005.0,
+      "step": 355
+    },
+    {
+      "entropy": 7.006586170196533,
+      "epoch": 0.2982601491300746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0001795,
+      "loss": 6.6575,
+      "mean_token_accuracy": 0.10120807588100433,
+      "num_tokens": 661003.0,
+      "step": 360
+    },
+    {
+      "entropy": 6.874996137619019,
+      "epoch": 0.3024026512013256,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000182,
+      "loss": 6.6294,
+      "mean_token_accuracy": 0.09844254851341247,
+      "num_tokens": 670221.0,
+      "step": 365
+    },
+    {
+      "entropy": 7.155635738372803,
+      "epoch": 0.30654515327257664,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001845,
+      "loss": 6.9236,
+      "mean_token_accuracy": 0.0882349319756031,
+      "num_tokens": 680756.0,
+      "step": 370
+    },
+    {
+      "entropy": 6.94540753364563,
+      "epoch": 0.3106876553438277,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000187,
+      "loss": 6.6157,
+      "mean_token_accuracy": 0.10289054960012436,
+      "num_tokens": 689641.0,
+      "step": 375
+    },
+    {
+      "entropy": 6.87992377281189,
+      "epoch": 0.3148301574150787,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001895,
+      "loss": 6.5696,
+      "mean_token_accuracy": 0.09839320331811904,
+      "num_tokens": 698209.0,
+      "step": 380
+    },
+    {
+      "entropy": 6.823869276046753,
+      "epoch": 0.31897265948632975,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000192,
+      "loss": 6.5736,
+      "mean_token_accuracy": 0.10355777889490128,
+      "num_tokens": 706712.0,
+      "step": 385
+    },
+    {
+      "entropy": 7.037634468078613,
+      "epoch": 0.3231151615575808,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0001945,
+      "loss": 6.8017,
+      "mean_token_accuracy": 0.09728012606501579,
+      "num_tokens": 716087.0,
+      "step": 390
+    },
+    {
+      "entropy": 6.911249494552612,
+      "epoch": 0.3272576636288318,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00019700000000000002,
+      "loss": 6.6465,
+      "mean_token_accuracy": 0.09347675815224647,
+      "num_tokens": 725913.0,
+      "step": 395
+    },
+    {
+      "entropy": 6.944440317153931,
+      "epoch": 0.33140016570008285,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019950000000000002,
+      "loss": 6.7201,
+      "mean_token_accuracy": 0.10362306237220764,
+      "num_tokens": 735020.0,
+      "step": 400
+    },
+    {
+      "entropy": 6.985636854171753,
+      "epoch": 0.3355426677713339,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000202,
+      "loss": 6.6216,
+      "mean_token_accuracy": 0.09469136893749237,
+      "num_tokens": 744299.0,
+      "step": 405
+    },
+    {
+      "entropy": 6.883630275726318,
+      "epoch": 0.3396851698425849,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00020449999999999998,
+      "loss": 6.6099,
+      "mean_token_accuracy": 0.09694516137242318,
+      "num_tokens": 753231.0,
+      "step": 410
+    },
+    {
+      "entropy": 6.825357389450073,
+      "epoch": 0.34382767191383595,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000207,
+      "loss": 6.6717,
+      "mean_token_accuracy": 0.10230854973196983,
+      "num_tokens": 763043.0,
+      "step": 415
+    },
+    {
+      "entropy": 7.016851997375488,
+      "epoch": 0.347970173985087,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0002095,
+      "loss": 6.6905,
+      "mean_token_accuracy": 0.09913048222661018,
+      "num_tokens": 771977.0,
+      "step": 420
+    },
+    {
+      "entropy": 6.820244407653808,
+      "epoch": 0.352112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000212,
+      "loss": 6.6243,
+      "mean_token_accuracy": 0.1011092983186245,
+      "num_tokens": 780285.0,
+      "step": 425
+    },
+    {
+      "entropy": 6.956075525283813,
+      "epoch": 0.35625517812758906,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002145,
+      "loss": 6.6593,
+      "mean_token_accuracy": 0.09649045094847679,
+      "num_tokens": 789980.0,
+      "step": 430
+    },
+    {
+      "entropy": 6.984846019744873,
+      "epoch": 0.3603976801988401,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021700000000000002,
+      "loss": 6.6275,
+      "mean_token_accuracy": 0.10474459528923034,
+      "num_tokens": 798700.0,
+      "step": 435
+    },
+    {
+      "entropy": 6.767291498184204,
+      "epoch": 0.36454018227009116,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002195,
+      "loss": 6.7208,
+      "mean_token_accuracy": 0.09600067660212516,
+      "num_tokens": 808758.0,
+      "step": 440
+    },
+    {
+      "entropy": 7.046369791030884,
+      "epoch": 0.36868268434134216,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000222,
+      "loss": 6.6666,
+      "mean_token_accuracy": 0.10458802133798599,
+      "num_tokens": 817692.0,
+      "step": 445
+    },
+    {
+      "entropy": 6.95425066947937,
+      "epoch": 0.3728251864125932,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002245,
+      "loss": 6.7146,
+      "mean_token_accuracy": 0.10474570766091347,
+      "num_tokens": 827052.0,
+      "step": 450
+    },
+    {
+      "entropy": 6.895345544815063,
+      "epoch": 0.37696768848384427,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00022700000000000002,
+      "loss": 6.7139,
+      "mean_token_accuracy": 0.1091882586479187,
+      "num_tokens": 836442.0,
+      "step": 455
+    },
+    {
+      "entropy": 6.922871923446655,
+      "epoch": 0.38111019055509526,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00022950000000000002,
+      "loss": 6.5775,
+      "mean_token_accuracy": 0.10118989571928978,
+      "num_tokens": 846441.0,
+      "step": 460
+    },
+    {
+      "entropy": 6.8815388679504395,
+      "epoch": 0.3852526926263463,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00023200000000000003,
+      "loss": 6.6215,
+      "mean_token_accuracy": 0.10475475937128068,
+      "num_tokens": 856108.0,
+      "step": 465
+    },
+    {
+      "entropy": 6.848587274551392,
+      "epoch": 0.38939519469759737,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00023449999999999998,
+      "loss": 6.5833,
+      "mean_token_accuracy": 0.10137399956583977,
+      "num_tokens": 865788.0,
+      "step": 470
+    },
+    {
+      "entropy": 6.886804008483887,
+      "epoch": 0.39353769676884837,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000237,
+      "loss": 6.6302,
+      "mean_token_accuracy": 0.09514767676591873,
+      "num_tokens": 874833.0,
+      "step": 475
+    },
+    {
+      "entropy": 6.751422643661499,
+      "epoch": 0.3976801988400994,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002395,
+      "loss": 6.5997,
+      "mean_token_accuracy": 0.10276172533631325,
+      "num_tokens": 883685.0,
+      "step": 480
+    },
+    {
+      "entropy": 6.881311464309692,
+      "epoch": 0.40182270091135047,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000242,
+      "loss": 6.6001,
+      "mean_token_accuracy": 0.09796027019619942,
+      "num_tokens": 893908.0,
+      "step": 485
+    },
+    {
+      "entropy": 6.934821891784668,
+      "epoch": 0.40596520298260147,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002445,
+      "loss": 6.7142,
+      "mean_token_accuracy": 0.09827135354280472,
+      "num_tokens": 903081.0,
+      "step": 490
+    },
+    {
+      "entropy": 6.7868632793426515,
+      "epoch": 0.4101077050538525,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000247,
+      "loss": 6.5522,
+      "mean_token_accuracy": 0.10336750745773315,
+      "num_tokens": 912515.0,
+      "step": 495
+    },
+    {
+      "entropy": 6.886235475540161,
+      "epoch": 0.4142502071251036,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002495,
+      "loss": 6.5797,
+      "mean_token_accuracy": 0.1070313923060894,
+      "num_tokens": 921056.0,
+      "step": 500
+    },
+    {
+      "epoch": 0.4142502071251036,
+      "eval_entropy": 6.836038604728194,
+      "eval_loss": 6.684774875640869,
+      "eval_mean_token_accuracy": 0.10272799217021034,
+      "eval_num_tokens": 921056.0,
+      "eval_runtime": 2.7891,
+      "eval_samples_per_second": 1343.421,
+      "eval_steps_per_second": 168.152,
+      "step": 500
+    },
+    {
+      "entropy": 6.7657403469085695,
+      "epoch": 0.4183927091963546,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000252,
+      "loss": 6.5317,
+      "mean_token_accuracy": 0.10417452603578567,
+      "num_tokens": 931112.0,
+      "step": 505
+    },
+    {
+      "entropy": 6.821895503997803,
+      "epoch": 0.4225352112676056,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0002545,
+      "loss": 6.6605,
+      "mean_token_accuracy": 0.0978618748486042,
+      "num_tokens": 941120.0,
+      "step": 510
+    },
+    {
+      "entropy": 6.886211729049682,
+      "epoch": 0.4266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000257,
+      "loss": 6.6044,
+      "mean_token_accuracy": 0.09737976416945457,
+      "num_tokens": 950041.0,
+      "step": 515
+    },
+    {
+      "entropy": 6.879851579666138,
+      "epoch": 0.43082021541010773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002595,
+      "loss": 6.5907,
+      "mean_token_accuracy": 0.10606569275259972,
+      "num_tokens": 958608.0,
+      "step": 520
+    },
+    {
+      "entropy": 6.886484861373901,
+      "epoch": 0.43496271748135873,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.000262,
+      "loss": 6.7158,
+      "mean_token_accuracy": 0.09990910813212395,
+      "num_tokens": 966901.0,
+      "step": 525
+    },
+    {
+      "entropy": 6.767313003540039,
+      "epoch": 0.4391052195526098,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026450000000000003,
+      "loss": 6.5504,
+      "mean_token_accuracy": 0.10768762230873108,
+      "num_tokens": 976198.0,
+      "step": 530
+    },
+    {
+      "entropy": 6.892781782150268,
+      "epoch": 0.44324772162386084,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026700000000000004,
+      "loss": 6.624,
+      "mean_token_accuracy": 0.09861580505967141,
+      "num_tokens": 985248.0,
+      "step": 535
+    },
+    {
+      "entropy": 6.772344255447388,
+      "epoch": 0.44739022369511183,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00026950000000000005,
+      "loss": 6.5014,
+      "mean_token_accuracy": 0.1071978710591793,
+      "num_tokens": 993289.0,
+      "step": 540
+    },
+    {
+      "entropy": 6.820696449279785,
+      "epoch": 0.4515327257663629,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027200000000000005,
+      "loss": 6.5909,
+      "mean_token_accuracy": 0.10533165782690049,
+      "num_tokens": 1001784.0,
+      "step": 545
+    },
+    {
+      "entropy": 6.935409688949585,
+      "epoch": 0.45567522783761394,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002745,
+      "loss": 6.5627,
+      "mean_token_accuracy": 0.10804210156202317,
+      "num_tokens": 1010445.0,
+      "step": 550
+    },
+    {
+      "entropy": 6.745790100097656,
+      "epoch": 0.45981772990886494,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000277,
+      "loss": 6.6184,
+      "mean_token_accuracy": 0.10709234476089477,
+      "num_tokens": 1019084.0,
+      "step": 555
+    },
+    {
+      "entropy": 6.7490733623504635,
+      "epoch": 0.463960231980116,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002795,
+      "loss": 6.5249,
+      "mean_token_accuracy": 0.10461713373661041,
+      "num_tokens": 1027263.0,
+      "step": 560
+    },
+    {
+      "entropy": 6.876884937286377,
+      "epoch": 0.46810273405136704,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00028199999999999997,
+      "loss": 6.6233,
+      "mean_token_accuracy": 0.09752989709377288,
+      "num_tokens": 1036275.0,
+      "step": 565
+    },
+    {
+      "entropy": 6.765736055374146,
+      "epoch": 0.47224523612261804,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002845,
+      "loss": 6.7015,
+      "mean_token_accuracy": 0.09858408868312836,
+      "num_tokens": 1045208.0,
+      "step": 570
+    },
+    {
+      "entropy": 6.9024957656860355,
+      "epoch": 0.4763877381938691,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000287,
+      "loss": 6.6287,
+      "mean_token_accuracy": 0.1026283286511898,
+      "num_tokens": 1054703.0,
+      "step": 575
+    },
+    {
+      "entropy": 6.647345924377442,
+      "epoch": 0.48053024026512015,
+      "grad_norm": 1.5,
+      "learning_rate": 0.0002895,
+      "loss": 6.4841,
+      "mean_token_accuracy": 0.10212503597140313,
+      "num_tokens": 1063652.0,
+      "step": 580
+    },
+    {
+      "entropy": 6.717900657653809,
+      "epoch": 0.48467274233637114,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000292,
+      "loss": 6.5873,
+      "mean_token_accuracy": 0.10145951434969902,
+      "num_tokens": 1072070.0,
+      "step": 585
+    },
+    {
+      "entropy": 6.997959756851197,
+      "epoch": 0.4888152444076222,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002945,
+      "loss": 6.6143,
+      "mean_token_accuracy": 0.10064447894692422,
+      "num_tokens": 1079992.0,
+      "step": 590
+    },
+    {
+      "entropy": 6.657160854339599,
+      "epoch": 0.49295774647887325,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000297,
+      "loss": 6.628,
+      "mean_token_accuracy": 0.10435748845338821,
+      "num_tokens": 1088862.0,
+      "step": 595
+    },
+    {
+      "entropy": 6.773271942138672,
+      "epoch": 0.4971002485501243,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002995,
+      "loss": 6.4317,
+      "mean_token_accuracy": 0.10795770138502121,
+      "num_tokens": 1097614.0,
+      "step": 600
+    },
+    {
+      "entropy": 6.7102379322052,
+      "epoch": 0.5012427506213754,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000302,
+      "loss": 6.6288,
+      "mean_token_accuracy": 0.10706980749964715,
+      "num_tokens": 1107347.0,
+      "step": 605
+    },
+    {
+      "entropy": 6.8672473430633545,
+      "epoch": 0.5053852526926264,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003045,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10073774978518486,
+      "num_tokens": 1116707.0,
+      "step": 610
+    },
+    {
+      "entropy": 6.764383840560913,
+      "epoch": 0.5095277547638773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000307,
+      "loss": 6.6549,
+      "mean_token_accuracy": 0.10234303548932075,
+      "num_tokens": 1126356.0,
+      "step": 615
+    },
+    {
+      "entropy": 6.787193298339844,
+      "epoch": 0.5136702568351285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003095,
+      "loss": 6.5847,
+      "mean_token_accuracy": 0.10079671740531922,
+      "num_tokens": 1136281.0,
+      "step": 620
+    },
+    {
+      "entropy": 6.713733196258545,
+      "epoch": 0.5178127589063795,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000312,
+      "loss": 6.5355,
+      "mean_token_accuracy": 0.10429632142186165,
+      "num_tokens": 1145466.0,
+      "step": 625
+    },
+    {
+      "entropy": 6.7503923892974855,
+      "epoch": 0.5219552609776305,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003145,
+      "loss": 6.5409,
+      "mean_token_accuracy": 0.10918259546160698,
+      "num_tokens": 1154225.0,
+      "step": 630
+    },
+    {
+      "entropy": 6.761834907531738,
+      "epoch": 0.5260977630488816,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000317,
+      "loss": 6.5885,
+      "mean_token_accuracy": 0.09673135951161385,
+      "num_tokens": 1163872.0,
+      "step": 635
+    },
+    {
+      "entropy": 6.69431324005127,
+      "epoch": 0.5302402651201326,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003195,
+      "loss": 6.5244,
+      "mean_token_accuracy": 0.10705070868134499,
+      "num_tokens": 1172695.0,
+      "step": 640
+    },
+    {
+      "entropy": 6.651590061187744,
+      "epoch": 0.5343827671913836,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000322,
+      "loss": 6.3962,
+      "mean_token_accuracy": 0.11006554961204529,
+      "num_tokens": 1181291.0,
+      "step": 645
+    },
+    {
+      "entropy": 6.782713270187378,
+      "epoch": 0.5385252692626347,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00032450000000000003,
+      "loss": 6.5715,
+      "mean_token_accuracy": 0.10394523739814758,
+      "num_tokens": 1189927.0,
+      "step": 650
+    },
+    {
+      "entropy": 6.705166435241699,
+      "epoch": 0.5426677713338857,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00032700000000000003,
+      "loss": 6.5043,
+      "mean_token_accuracy": 0.10940467119216919,
+      "num_tokens": 1197913.0,
+      "step": 655
+    },
+    {
+      "entropy": 6.670699262619019,
+      "epoch": 0.5468102734051367,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032950000000000004,
+      "loss": 6.4309,
+      "mean_token_accuracy": 0.11147961542010307,
+      "num_tokens": 1207032.0,
+      "step": 660
+    },
+    {
+      "entropy": 6.640204334259034,
+      "epoch": 0.5509527754763878,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00033200000000000005,
+      "loss": 6.5397,
+      "mean_token_accuracy": 0.10571447387337685,
+      "num_tokens": 1215710.0,
+      "step": 665
+    },
+    {
+      "entropy": 6.694819068908691,
+      "epoch": 0.5550952775476388,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033450000000000005,
+      "loss": 6.52,
+      "mean_token_accuracy": 0.10049431845545768,
+      "num_tokens": 1225619.0,
+      "step": 670
+    },
+    {
+      "entropy": 6.649594163894653,
+      "epoch": 0.5592377796188898,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000337,
+      "loss": 6.4407,
+      "mean_token_accuracy": 0.11157044768333435,
+      "num_tokens": 1235000.0,
+      "step": 675
+    },
+    {
+      "entropy": 6.612611961364746,
+      "epoch": 0.5633802816901409,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003395,
+      "loss": 6.4462,
+      "mean_token_accuracy": 0.108580531924963,
+      "num_tokens": 1243594.0,
+      "step": 680
+    },
+    {
+      "entropy": 6.843221950531006,
+      "epoch": 0.5675227837613919,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000342,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10460855960845947,
+      "num_tokens": 1252279.0,
+      "step": 685
+    },
+    {
+      "entropy": 6.760235929489136,
+      "epoch": 0.5716652858326429,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034449999999999997,
+      "loss": 6.559,
+      "mean_token_accuracy": 0.10665302500128745,
+      "num_tokens": 1261314.0,
+      "step": 690
+    },
+    {
+      "entropy": 6.55326566696167,
+      "epoch": 0.575807787903894,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000347,
+      "loss": 6.4337,
+      "mean_token_accuracy": 0.11188110187649727,
+      "num_tokens": 1270854.0,
+      "step": 695
+    },
+    {
+      "entropy": 6.618375587463379,
+      "epoch": 0.579950289975145,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003495,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.11392810270190239,
+      "num_tokens": 1279183.0,
+      "step": 700
+    },
+    {
+      "entropy": 6.626208257675171,
+      "epoch": 0.584092792046396,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000352,
+      "loss": 6.5015,
+      "mean_token_accuracy": 0.10761247500777245,
+      "num_tokens": 1288347.0,
+      "step": 705
+    },
+    {
+      "entropy": 6.6855669021606445,
+      "epoch": 0.5882352941176471,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003545,
+      "loss": 6.5036,
+      "mean_token_accuracy": 0.10823310390114785,
+      "num_tokens": 1297449.0,
+      "step": 710
+    },
+    {
+      "entropy": 6.710147094726563,
+      "epoch": 0.5923777961888981,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000357,
+      "loss": 6.4688,
+      "mean_token_accuracy": 0.10904998034238815,
+      "num_tokens": 1306232.0,
+      "step": 715
+    },
+    {
+      "entropy": 6.6553794860839846,
+      "epoch": 0.5965202982601492,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003595,
+      "loss": 6.4857,
+      "mean_token_accuracy": 0.11109372302889824,
+      "num_tokens": 1315073.0,
+      "step": 720
+    },
+    {
+      "entropy": 6.674065732955933,
+      "epoch": 0.6006628003314002,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000362,
+      "loss": 6.5301,
+      "mean_token_accuracy": 0.10648825243115426,
+      "num_tokens": 1324629.0,
+      "step": 725
+    },
+    {
+      "entropy": 6.700368881225586,
+      "epoch": 0.6048053024026512,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0003645,
+      "loss": 6.6444,
+      "mean_token_accuracy": 0.10443340390920638,
+      "num_tokens": 1334152.0,
+      "step": 730
+    },
+    {
+      "entropy": 6.779498624801636,
+      "epoch": 0.6089478044739023,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000367,
+      "loss": 6.5946,
+      "mean_token_accuracy": 0.10130336955189705,
+      "num_tokens": 1343063.0,
+      "step": 735
+    },
+    {
+      "entropy": 6.684298419952393,
+      "epoch": 0.6130903065451533,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0003695,
+      "loss": 6.5241,
+      "mean_token_accuracy": 0.10516620799899101,
+      "num_tokens": 1352632.0,
+      "step": 740
+    },
+    {
+      "entropy": 6.582866573333741,
+      "epoch": 0.6172328086164043,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000372,
+      "loss": 6.4712,
+      "mean_token_accuracy": 0.10765027329325676,
+      "num_tokens": 1361103.0,
+      "step": 745
+    },
+    {
+      "entropy": 6.643687963485718,
+      "epoch": 0.6213753106876554,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003745,
+      "loss": 6.4642,
+      "mean_token_accuracy": 0.10832677409052849,
+      "num_tokens": 1370658.0,
+      "step": 750
+    },
+    {
+      "entropy": 6.64506516456604,
+      "epoch": 0.6255178127589064,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000377,
+      "loss": 6.4878,
+      "mean_token_accuracy": 0.10808288529515267,
+      "num_tokens": 1379817.0,
+      "step": 755
+    },
+    {
+      "entropy": 6.640752458572388,
+      "epoch": 0.6296603148301574,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003795,
+      "loss": 6.4418,
+      "mean_token_accuracy": 0.10874675288796425,
+      "num_tokens": 1389329.0,
+      "step": 760
+    },
+    {
+      "entropy": 6.4627049446105955,
+      "epoch": 0.6338028169014085,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000382,
+      "loss": 6.4902,
+      "mean_token_accuracy": 0.10606684386730195,
+      "num_tokens": 1399279.0,
+      "step": 765
+    },
+    {
+      "entropy": 6.621781063079834,
+      "epoch": 0.6379453189726595,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003845,
+      "loss": 6.4146,
+      "mean_token_accuracy": 0.11267002299427986,
+      "num_tokens": 1408765.0,
+      "step": 770
+    },
+    {
+      "entropy": 6.736465692520142,
+      "epoch": 0.6420878210439105,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038700000000000003,
+      "loss": 6.5632,
+      "mean_token_accuracy": 0.10607504546642303,
+      "num_tokens": 1418615.0,
+      "step": 775
+    },
+    {
+      "entropy": 6.616378879547119,
+      "epoch": 0.6462303231151616,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038950000000000003,
+      "loss": 6.4664,
+      "mean_token_accuracy": 0.10207068845629692,
+      "num_tokens": 1427359.0,
+      "step": 780
+    },
+    {
+      "entropy": 6.70065336227417,
+      "epoch": 0.6503728251864126,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00039200000000000004,
+      "loss": 6.622,
+      "mean_token_accuracy": 0.1116428442299366,
+      "num_tokens": 1435516.0,
+      "step": 785
+    },
+    {
+      "entropy": 6.709064102172851,
+      "epoch": 0.6545153272576636,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00039450000000000005,
+      "loss": 6.5704,
+      "mean_token_accuracy": 0.10583743155002594,
+      "num_tokens": 1444438.0,
+      "step": 790
+    },
+    {
+      "entropy": 6.671351766586303,
+      "epoch": 0.6586578293289147,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00039700000000000005,
+      "loss": 6.4996,
+      "mean_token_accuracy": 0.11326526403427124,
+      "num_tokens": 1453740.0,
+      "step": 795
+    },
+    {
+      "entropy": 6.614573907852173,
+      "epoch": 0.6628003314001657,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003995,
+      "loss": 6.4874,
+      "mean_token_accuracy": 0.11111863479018211,
+      "num_tokens": 1462083.0,
+      "step": 800
+    },
+    {
+      "entropy": 6.484545516967773,
+      "epoch": 0.6669428334714167,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000402,
+      "loss": 6.4127,
+      "mean_token_accuracy": 0.1100592203438282,
+      "num_tokens": 1471459.0,
+      "step": 805
+    },
+    {
+      "entropy": 6.621589279174804,
+      "epoch": 0.6710853355426678,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004045,
+      "loss": 6.3972,
+      "mean_token_accuracy": 0.11681128293275833,
+      "num_tokens": 1480516.0,
+      "step": 810
+    },
+    {
+      "entropy": 6.421737241744995,
+      "epoch": 0.6752278376139188,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00040699999999999997,
+      "loss": 6.3,
+      "mean_token_accuracy": 0.11318568140268326,
+      "num_tokens": 1489268.0,
+      "step": 815
+    },
+    {
+      "entropy": 6.700246906280517,
+      "epoch": 0.6793703396851698,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004095,
+      "loss": 6.5174,
+      "mean_token_accuracy": 0.11110908538103104,
+      "num_tokens": 1498819.0,
+      "step": 820
+    },
+    {
+      "entropy": 6.622490644454956,
+      "epoch": 0.6835128417564209,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000412,
+      "loss": 6.501,
+      "mean_token_accuracy": 0.11033953949809075,
+      "num_tokens": 1507852.0,
+      "step": 825
+    },
+    {
+      "entropy": 6.59730544090271,
+      "epoch": 0.6876553438276719,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004145,
+      "loss": 6.5302,
+      "mean_token_accuracy": 0.11122860461473465,
+      "num_tokens": 1517538.0,
+      "step": 830
+    },
+    {
+      "entropy": 6.458763217926025,
+      "epoch": 0.6917978458989229,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000417,
+      "loss": 6.4061,
+      "mean_token_accuracy": 0.11324542313814163,
+      "num_tokens": 1525389.0,
+      "step": 835
+    },
+    {
+      "entropy": 6.57511887550354,
+      "epoch": 0.695940347970174,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004195,
+      "loss": 6.3741,
+      "mean_token_accuracy": 0.11116622686386109,
+      "num_tokens": 1534117.0,
+      "step": 840
+    },
+    {
+      "entropy": 6.522304344177246,
+      "epoch": 0.700082850041425,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000422,
+      "loss": 6.4029,
+      "mean_token_accuracy": 0.11315450444817543,
+      "num_tokens": 1542610.0,
+      "step": 845
+    },
+    {
+      "entropy": 6.5175107479095455,
+      "epoch": 0.704225352112676,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004245,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.1143906556069851,
+      "num_tokens": 1551771.0,
+      "step": 850
+    },
+    {
+      "entropy": 6.620167636871338,
+      "epoch": 0.7083678541839271,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.000427,
+      "loss": 6.5779,
+      "mean_token_accuracy": 0.10512799099087715,
+      "num_tokens": 1560231.0,
+      "step": 855
+    },
+    {
+      "entropy": 6.589151382446289,
+      "epoch": 0.7125103562551781,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004295,
+      "loss": 6.5346,
+      "mean_token_accuracy": 0.10532297939062119,
+      "num_tokens": 1569578.0,
+      "step": 860
+    },
+    {
+      "entropy": 6.563750839233398,
+      "epoch": 0.7166528583264291,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000432,
+      "loss": 6.4187,
+      "mean_token_accuracy": 0.11381370946764946,
+      "num_tokens": 1579308.0,
+      "step": 865
+    },
+    {
+      "entropy": 6.597287034988403,
+      "epoch": 0.7207953603976802,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004345,
+      "loss": 6.6081,
+      "mean_token_accuracy": 0.10267190784215927,
+      "num_tokens": 1589506.0,
+      "step": 870
+    },
+    {
+      "entropy": 6.482245397567749,
+      "epoch": 0.7249378624689312,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000437,
+      "loss": 6.3671,
+      "mean_token_accuracy": 0.11368186473846435,
+      "num_tokens": 1598127.0,
+      "step": 875
+    },
+    {
+      "entropy": 6.548954200744629,
+      "epoch": 0.7290803645401823,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004395,
+      "loss": 6.4125,
+      "mean_token_accuracy": 0.11406067088246345,
+      "num_tokens": 1608073.0,
+      "step": 880
+    },
+    {
+      "entropy": 6.551317119598389,
+      "epoch": 0.7332228666114333,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000442,
+      "loss": 6.4304,
+      "mean_token_accuracy": 0.11178040653467178,
+      "num_tokens": 1616272.0,
+      "step": 885
+    },
+    {
+      "entropy": 6.496135663986206,
+      "epoch": 0.7373653686826843,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004445,
+      "loss": 6.447,
+      "mean_token_accuracy": 0.10845504105091094,
+      "num_tokens": 1625577.0,
+      "step": 890
+    },
+    {
+      "entropy": 6.685812950134277,
+      "epoch": 0.7415078707539354,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000447,
+      "loss": 6.533,
+      "mean_token_accuracy": 0.10158233270049095,
+      "num_tokens": 1634902.0,
+      "step": 895
+    },
+    {
+      "entropy": 6.520436191558838,
+      "epoch": 0.7456503728251864,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00044950000000000003,
+      "loss": 6.4674,
+      "mean_token_accuracy": 0.10865833014249801,
+      "num_tokens": 1644131.0,
+      "step": 900
+    },
+    {
+      "entropy": 6.461379718780518,
+      "epoch": 0.7497928748964374,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00045200000000000004,
+      "loss": 6.3694,
+      "mean_token_accuracy": 0.12158194407820702,
+      "num_tokens": 1652272.0,
+      "step": 905
+    },
+    {
+      "entropy": 6.533070278167725,
+      "epoch": 0.7539353769676885,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00045450000000000004,
+      "loss": 6.4632,
+      "mean_token_accuracy": 0.11447574123740197,
+      "num_tokens": 1660962.0,
+      "step": 910
+    },
+    {
+      "entropy": 6.475569725036621,
+      "epoch": 0.7580778790389395,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045700000000000005,
+      "loss": 6.4006,
+      "mean_token_accuracy": 0.11205699220299721,
+      "num_tokens": 1670570.0,
+      "step": 915
+    },
+    {
+      "entropy": 6.526782608032226,
+      "epoch": 0.7622203811101905,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00045950000000000006,
+      "loss": 6.4497,
+      "mean_token_accuracy": 0.1096197433769703,
+      "num_tokens": 1679674.0,
+      "step": 920
+    },
+    {
+      "entropy": 6.530770015716553,
+      "epoch": 0.7663628831814416,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000462,
+      "loss": 6.4324,
+      "mean_token_accuracy": 0.11466658413410187,
+      "num_tokens": 1688849.0,
+      "step": 925
+    },
+    {
+      "entropy": 6.4163538932800295,
+      "epoch": 0.7705053852526926,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004645,
+      "loss": 6.3128,
+      "mean_token_accuracy": 0.1098814107477665,
+      "num_tokens": 1698565.0,
+      "step": 930
+    },
+    {
+      "entropy": 6.5036052703857425,
+      "epoch": 0.7746478873239436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000467,
+      "loss": 6.3986,
+      "mean_token_accuracy": 0.11683695837855339,
+      "num_tokens": 1708009.0,
+      "step": 935
+    },
+    {
+      "entropy": 6.518198871612549,
+      "epoch": 0.7787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004695,
+      "loss": 6.3878,
+      "mean_token_accuracy": 0.1126109592616558,
+      "num_tokens": 1716497.0,
+      "step": 940
+    },
+    {
+      "entropy": 6.415347719192505,
+      "epoch": 0.7829328914664457,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000472,
+      "loss": 6.4082,
+      "mean_token_accuracy": 0.12070046439766884,
+      "num_tokens": 1725609.0,
+      "step": 945
+    },
+    {
+      "entropy": 6.477306175231933,
+      "epoch": 0.7870753935376967,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004745,
+      "loss": 6.3456,
+      "mean_token_accuracy": 0.11454906165599824,
+      "num_tokens": 1734165.0,
+      "step": 950
+    },
+    {
+      "entropy": 6.454520893096924,
+      "epoch": 0.7912178956089478,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000477,
+      "loss": 6.4546,
+      "mean_token_accuracy": 0.10918105840682983,
+      "num_tokens": 1744856.0,
+      "step": 955
+    },
+    {
+      "entropy": 6.4711943626403805,
+      "epoch": 0.7953603976801988,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004795,
+      "loss": 6.4509,
+      "mean_token_accuracy": 0.10578904524445534,
+      "num_tokens": 1753386.0,
+      "step": 960
+    },
+    {
+      "entropy": 6.4536961078643795,
+      "epoch": 0.7995028997514498,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000482,
+      "loss": 6.3053,
+      "mean_token_accuracy": 0.11872726455330848,
+      "num_tokens": 1762521.0,
+      "step": 965
+    },
+    {
+      "entropy": 6.34936490058899,
+      "epoch": 0.8036454018227009,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004845,
+      "loss": 6.3765,
+      "mean_token_accuracy": 0.11444728896021843,
+      "num_tokens": 1772403.0,
+      "step": 970
+    },
+    {
+      "entropy": 6.375087881088257,
+      "epoch": 0.8077879038939519,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000487,
+      "loss": 6.2884,
+      "mean_token_accuracy": 0.11179185584187508,
+      "num_tokens": 1780924.0,
+      "step": 975
+    },
+    {
+      "entropy": 6.547906732559204,
+      "epoch": 0.8119304059652029,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004895,
+      "loss": 6.4367,
+      "mean_token_accuracy": 0.11225800514221192,
+      "num_tokens": 1789992.0,
+      "step": 980
+    },
+    {
+      "entropy": 6.421040678024292,
+      "epoch": 0.816072908036454,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000492,
+      "loss": 6.3919,
+      "mean_token_accuracy": 0.11761699616909027,
+      "num_tokens": 1799513.0,
+      "step": 985
+    },
+    {
+      "entropy": 6.332476711273193,
+      "epoch": 0.820215410107705,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0004945,
+      "loss": 6.2287,
+      "mean_token_accuracy": 0.11279567033052444,
+      "num_tokens": 1807393.0,
+      "step": 990
+    },
+    {
+      "entropy": 6.438618326187134,
+      "epoch": 0.824357912178956,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000497,
+      "loss": 6.5079,
+      "mean_token_accuracy": 0.10579989776015282,
+      "num_tokens": 1817284.0,
+      "step": 995
+    },
+    {
+      "entropy": 6.449818515777588,
+      "epoch": 0.8285004142502072,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004995,
+      "loss": 6.2996,
+      "mean_token_accuracy": 0.11799877136945724,
+      "num_tokens": 1825591.0,
+      "step": 1000
+    },
+    {
+      "epoch": 0.8285004142502072,
+      "eval_entropy": 6.222835092402216,
+      "eval_loss": 6.475013256072998,
+      "eval_mean_token_accuracy": 0.11269166863866961,
+      "eval_num_tokens": 1825591.0,
+      "eval_runtime": 2.7611,
+      "eval_samples_per_second": 1357.068,
+      "eval_steps_per_second": 169.86,
+      "step": 1000
+    },
+    {
+      "entropy": 6.457831478118896,
+      "epoch": 0.8326429163214581,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0004999998547681232,
+      "loss": 6.3959,
+      "mean_token_accuracy": 0.11798396334052086,
+      "num_tokens": 1834655.0,
+      "step": 1005
+    },
+    {
+      "entropy": 6.26599349975586,
+      "epoch": 0.8367854183927091,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004999992647639447,
+      "loss": 6.2578,
+      "mean_token_accuracy": 0.11858200430870056,
+      "num_tokens": 1844187.0,
+      "step": 1010
+    },
+    {
+      "entropy": 6.415271520614624,
+      "epoch": 0.8409279204639603,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999982209116618,
+      "loss": 6.3345,
+      "mean_token_accuracy": 0.11406200677156449,
+      "num_tokens": 1852768.0,
+      "step": 1015
+    },
+    {
+      "entropy": 6.355557584762574,
+      "epoch": 0.8450704225352113,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004999967232133796,
+      "loss": 6.3913,
+      "mean_token_accuracy": 0.12348653748631477,
+      "num_tokens": 1862095.0,
+      "step": 1020
+    },
+    {
+      "entropy": 6.427043008804321,
+      "epoch": 0.8492129246064622,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004999947716721196,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.10961534604430198,
+      "num_tokens": 1871239.0,
+      "step": 1025
+    },
+    {
+      "entropy": 6.509608554840088,
+      "epoch": 0.8533554266777134,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004999923662918179,
+      "loss": 6.4323,
+      "mean_token_accuracy": 0.11334251016378402,
+      "num_tokens": 1880065.0,
+      "step": 1030
+    },
+    {
+      "entropy": 6.417975521087646,
+      "epoch": 0.8574979287489644,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999895070773266,
+      "loss": 6.4608,
+      "mean_token_accuracy": 0.10985229611396789,
+      "num_tokens": 1889065.0,
+      "step": 1035
+    },
+    {
+      "entropy": 6.429206514358521,
+      "epoch": 0.8616404308202155,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999861940344129,
+      "loss": 6.4721,
+      "mean_token_accuracy": 0.11190373301506043,
+      "num_tokens": 1898238.0,
+      "step": 1040
+    },
+    {
+      "entropy": 6.462369585037232,
+      "epoch": 0.8657829328914665,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004999824271697597,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.12136606723070145,
+      "num_tokens": 1906780.0,
+      "step": 1045
+    },
+    {
+      "entropy": 6.506088638305664,
+      "epoch": 0.8699254349627175,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000499978206490965,
+      "loss": 6.4745,
+      "mean_token_accuracy": 0.11197563111782075,
+      "num_tokens": 1916183.0,
+      "step": 1050
+    },
+    {
+      "entropy": 6.427097368240356,
+      "epoch": 0.8740679370339686,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999735320065427,
+      "loss": 6.3371,
+      "mean_token_accuracy": 0.11927392706274986,
+      "num_tokens": 1925382.0,
+      "step": 1055
+    },
+    {
+      "entropy": 6.292429256439209,
+      "epoch": 0.8782104391052196,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999684037259216,
+      "loss": 6.1827,
+      "mean_token_accuracy": 0.1270924136042595,
+      "num_tokens": 1933639.0,
+      "step": 1060
+    },
+    {
+      "entropy": 6.3600146770477295,
+      "epoch": 0.8823529411764706,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999628216594456,
+      "loss": 6.464,
+      "mean_token_accuracy": 0.11409285366535186,
+      "num_tokens": 1943044.0,
+      "step": 1065
+    },
+    {
+      "entropy": 6.460871028900146,
+      "epoch": 0.8864954432477217,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000499956785818375,
+      "loss": 6.303,
+      "mean_token_accuracy": 0.11871922463178634,
+      "num_tokens": 1951777.0,
+      "step": 1070
+    },
+    {
+      "entropy": 6.376981210708618,
+      "epoch": 0.8906379453189727,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004999502962148843,
+      "loss": 6.3666,
+      "mean_token_accuracy": 0.1170460693538189,
+      "num_tokens": 1961356.0,
+      "step": 1075
+    },
+    {
+      "entropy": 6.439280414581299,
+      "epoch": 0.8947804473902237,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000499943352862064,
+      "loss": 6.4248,
+      "mean_token_accuracy": 0.11459407210350037,
+      "num_tokens": 1970341.0,
+      "step": 1080
+    },
+    {
+      "entropy": 6.394289827346801,
+      "epoch": 0.8989229494614748,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004999359557739194,
+      "loss": 6.2796,
+      "mean_token_accuracy": 0.12198276743292809,
+      "num_tokens": 1978576.0,
+      "step": 1085
+    },
+    {
+      "entropy": 6.319045782089233,
+      "epoch": 0.9030654515327258,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004999281049653713,
+      "loss": 6.3227,
+      "mean_token_accuracy": 0.11601013913750649,
+      "num_tokens": 1987229.0,
+      "step": 1090
+    },
+    {
+      "entropy": 6.376017141342163,
+      "epoch": 0.9072079536039768,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999198004522557,
+      "loss": 6.261,
+      "mean_token_accuracy": 0.12269015237689018,
+      "num_tokens": 1996473.0,
+      "step": 1095
+    },
+    {
+      "entropy": 6.2405853271484375,
+      "epoch": 0.9113504556752279,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999110422513237,
+      "loss": 6.286,
+      "mean_token_accuracy": 0.12056776732206345,
+      "num_tokens": 2005551.0,
+      "step": 1100
+    },
+    {
+      "entropy": 6.398191165924072,
+      "epoch": 0.9154929577464789,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999018303802414,
+      "loss": 6.3869,
+      "mean_token_accuracy": 0.11947718560695648,
+      "num_tokens": 2015012.0,
+      "step": 1105
+    },
+    {
+      "entropy": 6.374700450897217,
+      "epoch": 0.9196354598177299,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004998921648575904,
+      "loss": 6.3999,
+      "mean_token_accuracy": 0.1203969657421112,
+      "num_tokens": 2024435.0,
+      "step": 1110
+    },
+    {
+      "entropy": 6.380674362182617,
+      "epoch": 0.923777961888981,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004998820457028669,
+      "loss": 6.3005,
+      "mean_token_accuracy": 0.12089794874191284,
+      "num_tokens": 2033991.0,
+      "step": 1115
+    },
+    {
+      "entropy": 6.409522771835327,
+      "epoch": 0.927920463960232,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998714729364824,
+      "loss": 6.3017,
+      "mean_token_accuracy": 0.1228084571659565,
+      "num_tokens": 2043117.0,
+      "step": 1120
+    },
+    {
+      "entropy": 6.326260423660278,
+      "epoch": 0.932062966031483,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004998604465797634,
+      "loss": 6.3305,
+      "mean_token_accuracy": 0.11992078274488449,
+      "num_tokens": 2052304.0,
+      "step": 1125
+    },
+    {
+      "entropy": 6.251798295974732,
+      "epoch": 0.9362054681027341,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998489666549512,
+      "loss": 6.2779,
+      "mean_token_accuracy": 0.12114684730768203,
+      "num_tokens": 2061217.0,
+      "step": 1130
+    },
+    {
+      "entropy": 6.319644594192505,
+      "epoch": 0.9403479701739851,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.0004998370331852021,
+      "loss": 6.2517,
+      "mean_token_accuracy": 0.11879112273454666,
+      "num_tokens": 2070796.0,
+      "step": 1135
+    },
+    {
+      "entropy": 6.465651321411133,
+      "epoch": 0.9444904722452361,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004998246461945872,
+      "loss": 6.4037,
+      "mean_token_accuracy": 0.12191760018467904,
+      "num_tokens": 2080202.0,
+      "step": 1140
+    },
+    {
+      "entropy": 6.320812797546386,
+      "epoch": 0.9486329743164872,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004998118057080923,
+      "loss": 6.3045,
+      "mean_token_accuracy": 0.11891168132424354,
+      "num_tokens": 2089788.0,
+      "step": 1145
+    },
+    {
+      "entropy": 6.301202344894409,
+      "epoch": 0.9527754763877382,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004997985117516183,
+      "loss": 6.3462,
+      "mean_token_accuracy": 0.11142431199550629,
+      "num_tokens": 2098727.0,
+      "step": 1150
+    },
+    {
+      "entropy": 6.344118309020996,
+      "epoch": 0.9569179784589892,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997847643519803,
+      "loss": 6.226,
+      "mean_token_accuracy": 0.11924557387828827,
+      "num_tokens": 2107645.0,
+      "step": 1155
+    },
+    {
+      "entropy": 6.1790977954864506,
+      "epoch": 0.9610604805302403,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997705635369085,
+      "loss": 6.1991,
+      "mean_token_accuracy": 0.11988648250699044,
+      "num_tokens": 2116613.0,
+      "step": 1160
+    },
+    {
+      "entropy": 6.284418439865112,
+      "epoch": 0.9652029826014913,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004997559093350474,
+      "loss": 6.1881,
+      "mean_token_accuracy": 0.12116428092122078,
+      "num_tokens": 2125585.0,
+      "step": 1165
+    },
+    {
+      "entropy": 6.396596622467041,
+      "epoch": 0.9693454846727423,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004997408017759562,
+      "loss": 6.3359,
+      "mean_token_accuracy": 0.11936862170696258,
+      "num_tokens": 2134795.0,
+      "step": 1170
+    },
+    {
+      "entropy": 6.273751878738404,
+      "epoch": 0.9734879867439934,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004997252408901084,
+      "loss": 6.3271,
+      "mean_token_accuracy": 0.11899949684739113,
+      "num_tokens": 2143699.0,
+      "step": 1175
+    },
+    {
+      "entropy": 6.386678028106689,
+      "epoch": 0.9776304888152444,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004997092267088922,
+      "loss": 6.2707,
+      "mean_token_accuracy": 0.11861606612801552,
+      "num_tokens": 2152187.0,
+      "step": 1180
+    },
+    {
+      "entropy": 6.275117111206055,
+      "epoch": 0.9817729908864954,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004996927592646097,
+      "loss": 6.3412,
+      "mean_token_accuracy": 0.11767763197422028,
+      "num_tokens": 2160941.0,
+      "step": 1185
+    },
+    {
+      "entropy": 6.339710283279419,
+      "epoch": 0.9859154929577465,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004996758385904776,
+      "loss": 6.3119,
+      "mean_token_accuracy": 0.11789651140570641,
+      "num_tokens": 2168946.0,
+      "step": 1190
+    },
+    {
+      "entropy": 6.181374216079712,
+      "epoch": 0.9900579950289975,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004996584647206269,
+      "loss": 6.2237,
+      "mean_token_accuracy": 0.12055367529392243,
+      "num_tokens": 2177662.0,
+      "step": 1195
+    },
+    {
+      "entropy": 6.316773986816406,
+      "epoch": 0.9942004971002486,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004996406376901026,
+      "loss": 6.3268,
+      "mean_token_accuracy": 0.12757316455245019,
+      "num_tokens": 2187461.0,
+      "step": 1200
+    },
+    {
+      "entropy": 6.283385133743286,
+      "epoch": 0.9983429991714996,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004996223575348635,
+      "loss": 6.2207,
+      "mean_token_accuracy": 0.12578138560056687,
+      "num_tokens": 2196878.0,
+      "step": 1205
+    },
+    {
+      "entropy": 6.311019659042358,
+      "epoch": 1.0024855012427507,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004996036242917828,
+      "loss": 6.2021,
+      "mean_token_accuracy": 0.1151522897183895,
+      "num_tokens": 2206178.0,
+      "step": 1210
+    },
+    {
+      "entropy": 6.25421667098999,
+      "epoch": 1.0066280033140016,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004995844379986476,
+      "loss": 6.0526,
+      "mean_token_accuracy": 0.12476176023483276,
+      "num_tokens": 2215330.0,
+      "step": 1215
+    },
+    {
+      "entropy": 6.309921216964722,
+      "epoch": 1.0107705053852527,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004995647986941587,
+      "loss": 6.0354,
+      "mean_token_accuracy": 0.13005029112100602,
+      "num_tokens": 2224146.0,
+      "step": 1220
+    },
+    {
+      "entropy": 6.241363286972046,
+      "epoch": 1.0149130074565038,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004995447064179308,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13421598002314566,
+      "num_tokens": 2233646.0,
+      "step": 1225
+    },
+    {
+      "entropy": 6.058859920501709,
+      "epoch": 1.0190555095277547,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.000499524161210492,
+      "loss": 5.9379,
+      "mean_token_accuracy": 0.12560308948159218,
+      "num_tokens": 2243663.0,
+      "step": 1230
+    },
+    {
+      "entropy": 6.270004224777222,
+      "epoch": 1.0231980115990058,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004995031631132844,
+      "loss": 6.1035,
+      "mean_token_accuracy": 0.13170127123594283,
+      "num_tokens": 2252564.0,
+      "step": 1235
+    },
+    {
+      "entropy": 6.2710247993469235,
+      "epoch": 1.027340513670257,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004994817121686633,
+      "loss": 6.099,
+      "mean_token_accuracy": 0.12465815395116805,
+      "num_tokens": 2262504.0,
+      "step": 1240
+    },
+    {
+      "entropy": 6.193396997451782,
+      "epoch": 1.0314830157415078,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004994598084198979,
+      "loss": 5.9843,
+      "mean_token_accuracy": 0.1374910719692707,
+      "num_tokens": 2270553.0,
+      "step": 1245
+    },
+    {
+      "entropy": 6.136552810668945,
+      "epoch": 1.035625517812759,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004994374519111701,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.1272726461291313,
+      "num_tokens": 2279319.0,
+      "step": 1250
+    },
+    {
+      "entropy": 6.217378282546997,
+      "epoch": 1.03976801988401,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004994146426875757,
+      "loss": 6.123,
+      "mean_token_accuracy": 0.126935476064682,
+      "num_tokens": 2288749.0,
+      "step": 1255
+    },
+    {
+      "entropy": 6.218695068359375,
+      "epoch": 1.043910521955261,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004993913807951232,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.12562426924705505,
+      "num_tokens": 2298272.0,
+      "step": 1260
+    },
+    {
+      "entropy": 6.221994352340698,
+      "epoch": 1.048053024026512,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004993676662807345,
+      "loss": 6.047,
+      "mean_token_accuracy": 0.12884460240602494,
+      "num_tokens": 2307230.0,
+      "step": 1265
+    },
+    {
+      "entropy": 6.183428144454956,
+      "epoch": 1.0521955260977631,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004993434991922443,
+      "loss": 6.1317,
+      "mean_token_accuracy": 0.12460145726799965,
+      "num_tokens": 2316306.0,
+      "step": 1270
+    },
+    {
+      "entropy": 6.22090425491333,
+      "epoch": 1.056338028169014,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004993188795784002,
+      "loss": 6.0531,
+      "mean_token_accuracy": 0.1241947129368782,
+      "num_tokens": 2325672.0,
+      "step": 1275
+    },
+    {
+      "entropy": 6.1453857421875,
+      "epoch": 1.0604805302402651,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004992938074888628,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.1274007849395275,
+      "num_tokens": 2335251.0,
+      "step": 1280
+    },
+    {
+      "entropy": 6.180039167404175,
+      "epoch": 1.0646230323115162,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004992682829742052,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.1308726042509079,
+      "num_tokens": 2344054.0,
+      "step": 1285
+    },
+    {
+      "entropy": 6.086296463012696,
+      "epoch": 1.0687655343827671,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004992423060859132,
+      "loss": 6.0236,
+      "mean_token_accuracy": 0.127706591039896,
+      "num_tokens": 2353493.0,
+      "step": 1290
+    },
+    {
+      "entropy": 6.223158740997315,
+      "epoch": 1.0729080364540182,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004992158768763849,
+      "loss": 6.1321,
+      "mean_token_accuracy": 0.12850543335080147,
+      "num_tokens": 2362687.0,
+      "step": 1295
+    },
+    {
+      "entropy": 6.2506636619567875,
+      "epoch": 1.0770505385252693,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004991889953989308,
+      "loss": 6.0965,
+      "mean_token_accuracy": 0.12563316524028778,
+      "num_tokens": 2372325.0,
+      "step": 1300
+    },
+    {
+      "entropy": 6.173602199554443,
+      "epoch": 1.0811930405965202,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004991616617077741,
+      "loss": 6.12,
+      "mean_token_accuracy": 0.1287991665303707,
+      "num_tokens": 2381987.0,
+      "step": 1305
+    },
+    {
+      "entropy": 6.307486963272095,
+      "epoch": 1.0853355426677713,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004991338758580496,
+      "loss": 6.0234,
+      "mean_token_accuracy": 0.13178783878684044,
+      "num_tokens": 2390901.0,
+      "step": 1310
+    },
+    {
+      "entropy": 6.034789133071899,
+      "epoch": 1.0894780447390224,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004991056379058045,
+      "loss": 6.0813,
+      "mean_token_accuracy": 0.12450421676039695,
+      "num_tokens": 2400756.0,
+      "step": 1315
+    },
+    {
+      "entropy": 6.188017988204956,
+      "epoch": 1.0936205468102733,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004990769479079976,
+      "loss": 5.9232,
+      "mean_token_accuracy": 0.12984196096658707,
+      "num_tokens": 2409526.0,
+      "step": 1320
+    },
+    {
+      "entropy": 6.086554956436157,
+      "epoch": 1.0977630488815244,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004990478059225003,
+      "loss": 6.0931,
+      "mean_token_accuracy": 0.12972966134548186,
+      "num_tokens": 2419583.0,
+      "step": 1325
+    },
+    {
+      "entropy": 6.2457873821258545,
+      "epoch": 1.1019055509527755,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004990182120080945,
+      "loss": 6.0338,
+      "mean_token_accuracy": 0.12990806251764297,
+      "num_tokens": 2429439.0,
+      "step": 1330
+    },
+    {
+      "entropy": 6.078778219223023,
+      "epoch": 1.1060480530240264,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004989881662244748,
+      "loss": 6.0416,
+      "mean_token_accuracy": 0.12380676046013832,
+      "num_tokens": 2438467.0,
+      "step": 1335
+    },
+    {
+      "entropy": 6.138932418823242,
+      "epoch": 1.1101905550952775,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004989576686322468,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.1332716926932335,
+      "num_tokens": 2446619.0,
+      "step": 1340
+    },
+    {
+      "entropy": 6.1281578540802,
+      "epoch": 1.1143330571665286,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004989267192929272,
+      "loss": 6.0379,
+      "mean_token_accuracy": 0.12955363765358924,
+      "num_tokens": 2454998.0,
+      "step": 1345
+    },
+    {
+      "entropy": 6.09554443359375,
+      "epoch": 1.1184755592377795,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004988953182689445,
+      "loss": 6.0072,
+      "mean_token_accuracy": 0.13532012328505516,
+      "num_tokens": 2463497.0,
+      "step": 1350
+    },
+    {
+      "entropy": 6.134703922271728,
+      "epoch": 1.1226180613090306,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004988634656236378,
+      "loss": 5.9216,
+      "mean_token_accuracy": 0.13609320148825646,
+      "num_tokens": 2471763.0,
+      "step": 1355
+    },
+    {
+      "entropy": 6.145527791976929,
+      "epoch": 1.1267605633802817,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004988311614212576,
+      "loss": 6.0016,
+      "mean_token_accuracy": 0.1402701161801815,
+      "num_tokens": 2479949.0,
+      "step": 1360
+    },
+    {
+      "entropy": 6.116470623016357,
+      "epoch": 1.1309030654515326,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004987984057269648,
+      "loss": 6.0539,
+      "mean_token_accuracy": 0.13444141745567323,
+      "num_tokens": 2489097.0,
+      "step": 1365
+    },
+    {
+      "entropy": 5.972180604934692,
+      "epoch": 1.1350455675227837,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004987651986068311,
+      "loss": 5.8781,
+      "mean_token_accuracy": 0.13601028621196748,
+      "num_tokens": 2497625.0,
+      "step": 1370
+    },
+    {
+      "entropy": 6.143597984313965,
+      "epoch": 1.1391880695940348,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004987315401278394,
+      "loss": 6.1252,
+      "mean_token_accuracy": 0.1272761717438698,
+      "num_tokens": 2507107.0,
+      "step": 1375
+    },
+    {
+      "entropy": 6.286170959472656,
+      "epoch": 1.143330571665286,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004986974303578819,
+      "loss": 6.1408,
+      "mean_token_accuracy": 0.12348597794771195,
+      "num_tokens": 2516629.0,
+      "step": 1380
+    },
+    {
+      "entropy": 6.077923250198364,
+      "epoch": 1.1474730737365368,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004986628693657621,
+      "loss": 6.021,
+      "mean_token_accuracy": 0.1280151717364788,
+      "num_tokens": 2525924.0,
+      "step": 1385
+    },
+    {
+      "entropy": 6.229060649871826,
+      "epoch": 1.151615575807788,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004986278572211933,
+      "loss": 6.1723,
+      "mean_token_accuracy": 0.1280426375567913,
+      "num_tokens": 2535586.0,
+      "step": 1390
+    },
+    {
+      "entropy": 6.189875984191895,
+      "epoch": 1.1557580778790388,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004985923939947987,
+      "loss": 6.2595,
+      "mean_token_accuracy": 0.1247698113322258,
+      "num_tokens": 2546685.0,
+      "step": 1395
+    },
+    {
+      "entropy": 6.148470640182495,
+      "epoch": 1.15990057995029,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004985564797581115,
+      "loss": 5.9681,
+      "mean_token_accuracy": 0.12971177995204924,
+      "num_tokens": 2556873.0,
+      "step": 1400
+    },
+    {
+      "entropy": 6.143459701538086,
+      "epoch": 1.164043082021541,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004985201145835747,
+      "loss": 5.9836,
+      "mean_token_accuracy": 0.13127154856920242,
+      "num_tokens": 2565222.0,
+      "step": 1405
+    },
+    {
+      "entropy": 6.031957960128784,
+      "epoch": 1.1681855840927922,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.000498483298544541,
+      "loss": 5.9875,
+      "mean_token_accuracy": 0.13211632743477822,
+      "num_tokens": 2575467.0,
+      "step": 1410
+    },
+    {
+      "entropy": 6.136318731307983,
+      "epoch": 1.172328086164043,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000498446031715272,
+      "loss": 6.0125,
+      "mean_token_accuracy": 0.13508019223809242,
+      "num_tokens": 2583963.0,
+      "step": 1415
+    },
+    {
+      "entropy": 6.133963680267334,
+      "epoch": 1.1764705882352942,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004984083141709391,
+      "loss": 6.042,
+      "mean_token_accuracy": 0.13524071872234344,
+      "num_tokens": 2593350.0,
+      "step": 1420
+    },
+    {
+      "entropy": 5.975436115264893,
+      "epoch": 1.180613090306545,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000498370145987623,
+      "loss": 5.9652,
+      "mean_token_accuracy": 0.13682079091668128,
+      "num_tokens": 2602191.0,
+      "step": 1425
+    },
+    {
+      "entropy": 6.170718050003051,
+      "epoch": 1.1847555923777962,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004983315272423127,
+      "loss": 6.0999,
+      "mean_token_accuracy": 0.1291058838367462,
+      "num_tokens": 2613590.0,
+      "step": 1430
+    },
+    {
+      "entropy": 6.049332237243652,
+      "epoch": 1.1888980944490473,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004982924580129066,
+      "loss": 5.8895,
+      "mean_token_accuracy": 0.1340464949607849,
+      "num_tokens": 2622072.0,
+      "step": 1435
+    },
+    {
+      "entropy": 6.093293142318726,
+      "epoch": 1.1930405965202984,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004982529383782116,
+      "loss": 6.1012,
+      "mean_token_accuracy": 0.13022035285830497,
+      "num_tokens": 2630904.0,
+      "step": 1440
+    },
+    {
+      "entropy": 6.189996242523193,
+      "epoch": 1.1971830985915493,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004982129684179432,
+      "loss": 6.0594,
+      "mean_token_accuracy": 0.13088259026408194,
+      "num_tokens": 2639925.0,
+      "step": 1445
+    },
+    {
+      "entropy": 6.1187131881713865,
+      "epoch": 1.2013256006628004,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004981725482127251,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.13439981341362,
+      "num_tokens": 2649397.0,
+      "step": 1450
+    },
+    {
+      "entropy": 6.16315655708313,
+      "epoch": 1.2054681027340513,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004981316778440892,
+      "loss": 6.081,
+      "mean_token_accuracy": 0.13515593931078912,
+      "num_tokens": 2658877.0,
+      "step": 1455
+    },
+    {
+      "entropy": 6.063838720321655,
+      "epoch": 1.2096106048053024,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004980903573944756,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13121431767940522,
+      "num_tokens": 2668518.0,
+      "step": 1460
+    },
+    {
+      "entropy": 6.059180212020874,
+      "epoch": 1.2137531068765535,
+      "grad_norm": 1.0078125,
+      "learning_rate": 0.0004980485869472322,
+      "loss": 6.1148,
+      "mean_token_accuracy": 0.12996160089969636,
+      "num_tokens": 2677459.0,
+      "step": 1465
+    },
+    {
+      "entropy": 6.223527908325195,
+      "epoch": 1.2178956089478046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004980063665866143,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12482839822769165,
+      "num_tokens": 2686668.0,
+      "step": 1470
+    },
+    {
+      "entropy": 5.935272264480591,
+      "epoch": 1.2220381110190555,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004979636963977853,
+      "loss": 5.8825,
+      "mean_token_accuracy": 0.1352998949587345,
+      "num_tokens": 2695545.0,
+      "step": 1475
+    },
+    {
+      "entropy": 6.066101598739624,
+      "epoch": 1.2261806130903066,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004979205764668156,
+      "loss": 6.0569,
+      "mean_token_accuracy": 0.13228241056203843,
+      "num_tokens": 2705514.0,
+      "step": 1480
+    },
+    {
+      "entropy": 6.138315343856812,
+      "epoch": 1.2303231151615575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004978770068806825,
+      "loss": 5.9599,
+      "mean_token_accuracy": 0.13136665150523186,
+      "num_tokens": 2714373.0,
+      "step": 1485
+    },
+    {
+      "entropy": 6.061770391464234,
+      "epoch": 1.2344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.000497832987727271,
+      "loss": 6.0715,
+      "mean_token_accuracy": 0.1264137916266918,
+      "num_tokens": 2723887.0,
+      "step": 1490
+    },
+    {
+      "entropy": 6.061756038665772,
+      "epoch": 1.2386081193040597,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004977885190953724,
+      "loss": 5.956,
+      "mean_token_accuracy": 0.13353569880127908,
+      "num_tokens": 2733591.0,
+      "step": 1495
+    },
+    {
+      "entropy": 6.104292392730713,
+      "epoch": 1.2427506213753108,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004977436010746846,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.13720986992120743,
+      "num_tokens": 2741638.0,
+      "step": 1500
+    },
+    {
+      "epoch": 1.2427506213753108,
+      "eval_entropy": 6.029743814773397,
+      "eval_loss": 6.2611613273620605,
+      "eval_mean_token_accuracy": 0.12890694399219332,
+      "eval_num_tokens": 2741638.0,
+      "eval_runtime": 2.9518,
+      "eval_samples_per_second": 1269.399,
+      "eval_steps_per_second": 158.887,
+      "step": 1500
+    },
+    {
+      "entropy": 6.078821802139283,
+      "epoch": 1.2468931234465617,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004976982337558124,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13084649220108985,
+      "num_tokens": 2749711.0,
+      "step": 1505
+    },
+    {
+      "entropy": 6.094208097457885,
+      "epoch": 1.2510356255178128,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004976524172302665,
+      "loss": 6.121,
+      "mean_token_accuracy": 0.13192041367292404,
+      "num_tokens": 2758121.0,
+      "step": 1510
+    },
+    {
+      "entropy": 6.159745693206787,
+      "epoch": 1.2551781275890637,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004976061515904641,
+      "loss": 6.1181,
+      "mean_token_accuracy": 0.12667254582047463,
+      "num_tokens": 2766764.0,
+      "step": 1515
+    },
+    {
+      "entropy": 6.116680526733399,
+      "epoch": 1.2593206296603148,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004975594369297277,
+      "loss": 6.0557,
+      "mean_token_accuracy": 0.1348518520593643,
+      "num_tokens": 2775561.0,
+      "step": 1520
+    },
+    {
+      "entropy": 6.08063235282898,
+      "epoch": 1.2634631317315659,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004975122733422861,
+      "loss": 6.0201,
+      "mean_token_accuracy": 0.13085112273693084,
+      "num_tokens": 2784691.0,
+      "step": 1525
+    },
+    {
+      "entropy": 6.129113435745239,
+      "epoch": 1.267605633802817,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004974646609232732,
+      "loss": 5.9816,
+      "mean_token_accuracy": 0.13641836866736412,
+      "num_tokens": 2793893.0,
+      "step": 1530
+    },
+    {
+      "entropy": 6.108260202407837,
+      "epoch": 1.2717481358740679,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004974165997687288,
+      "loss": 6.0751,
+      "mean_token_accuracy": 0.13353196606040002,
+      "num_tokens": 2804479.0,
+      "step": 1535
+    },
+    {
+      "entropy": 6.16022138595581,
+      "epoch": 1.275890637945319,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004973680899755972,
+      "loss": 6.107,
+      "mean_token_accuracy": 0.1326654002070427,
+      "num_tokens": 2813966.0,
+      "step": 1540
+    },
+    {
+      "entropy": 6.007886743545532,
+      "epoch": 1.2800331400165699,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000497319131641728,
+      "loss": 5.9326,
+      "mean_token_accuracy": 0.13846119418740271,
+      "num_tokens": 2822328.0,
+      "step": 1545
+    },
+    {
+      "entropy": 6.003260755538941,
+      "epoch": 1.284175642087821,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004972697248658755,
+      "loss": 5.8899,
+      "mean_token_accuracy": 0.14066707715392113,
+      "num_tokens": 2829845.0,
+      "step": 1550
+    },
+    {
+      "entropy": 5.948832178115845,
+      "epoch": 1.288318144159072,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004972198697476987,
+      "loss": 5.8783,
+      "mean_token_accuracy": 0.13914238885045052,
+      "num_tokens": 2839040.0,
+      "step": 1555
+    },
+    {
+      "entropy": 5.961882209777832,
+      "epoch": 1.2924606462303232,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004971695663877607,
+      "loss": 5.9665,
+      "mean_token_accuracy": 0.13561231270432472,
+      "num_tokens": 2848574.0,
+      "step": 1560
+    },
+    {
+      "entropy": 6.077086877822876,
+      "epoch": 1.296603148301574,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004971188148875289,
+      "loss": 5.9421,
+      "mean_token_accuracy": 0.14444561377167703,
+      "num_tokens": 2856812.0,
+      "step": 1565
+    },
+    {
+      "entropy": 6.051652336120606,
+      "epoch": 1.3007456503728252,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004970676153493748,
+      "loss": 6.0283,
+      "mean_token_accuracy": 0.13189572617411613,
+      "num_tokens": 2866001.0,
+      "step": 1570
+    },
+    {
+      "entropy": 6.1068840503692625,
+      "epoch": 1.3048881524440763,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004970159678765731,
+      "loss": 6.0164,
+      "mean_token_accuracy": 0.13239546120166779,
+      "num_tokens": 2875181.0,
+      "step": 1575
+    },
+    {
+      "entropy": 6.049808597564697,
+      "epoch": 1.3090306545153272,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004969638725733028,
+      "loss": 5.9587,
+      "mean_token_accuracy": 0.13397156223654746,
+      "num_tokens": 2885103.0,
+      "step": 1580
+    },
+    {
+      "entropy": 5.92131872177124,
+      "epoch": 1.3131731565865783,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004969113295446455,
+      "loss": 5.9116,
+      "mean_token_accuracy": 0.1383065924048424,
+      "num_tokens": 2894055.0,
+      "step": 1585
+    },
+    {
+      "entropy": 6.116864538192749,
+      "epoch": 1.3173156586578294,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004968583388965863,
+      "loss": 5.9846,
+      "mean_token_accuracy": 0.133075200766325,
+      "num_tokens": 2903391.0,
+      "step": 1590
+    },
+    {
+      "entropy": 6.006745624542236,
+      "epoch": 1.3214581607290803,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004968049007360132,
+      "loss": 5.9854,
+      "mean_token_accuracy": 0.13297903537750244,
+      "num_tokens": 2911760.0,
+      "step": 1595
+    },
+    {
+      "entropy": 5.926331329345703,
+      "epoch": 1.3256006628003314,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004967510151707169,
+      "loss": 5.9369,
+      "mean_token_accuracy": 0.13469143435359002,
+      "num_tokens": 2920589.0,
+      "step": 1600
+    },
+    {
+      "entropy": 6.15295524597168,
+      "epoch": 1.3297431648715825,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004966966823093903,
+      "loss": 6.0746,
+      "mean_token_accuracy": 0.1302391268312931,
+      "num_tokens": 2929635.0,
+      "step": 1605
+    },
+    {
+      "entropy": 5.986531114578247,
+      "epoch": 1.3338856669428334,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004966419022616287,
+      "loss": 5.9349,
+      "mean_token_accuracy": 0.13593596145510672,
+      "num_tokens": 2938778.0,
+      "step": 1610
+    },
+    {
+      "entropy": 6.039755535125733,
+      "epoch": 1.3380281690140845,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004965866751379296,
+      "loss": 6.0503,
+      "mean_token_accuracy": 0.13109695687890052,
+      "num_tokens": 2947836.0,
+      "step": 1615
+    },
+    {
+      "entropy": 6.133180904388428,
+      "epoch": 1.3421706710853356,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004965310010496922,
+      "loss": 6.0032,
+      "mean_token_accuracy": 0.1280514419078827,
+      "num_tokens": 2957028.0,
+      "step": 1620
+    },
+    {
+      "entropy": 6.026159048080444,
+      "epoch": 1.3463131731565865,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004964748801092168,
+      "loss": 5.9571,
+      "mean_token_accuracy": 0.1338861681520939,
+      "num_tokens": 2966088.0,
+      "step": 1625
+    },
+    {
+      "entropy": 6.078959226608276,
+      "epoch": 1.3504556752278376,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004964183124297059,
+      "loss": 6.0438,
+      "mean_token_accuracy": 0.13178688064217567,
+      "num_tokens": 2975271.0,
+      "step": 1630
+    },
+    {
+      "entropy": 5.992210865020752,
+      "epoch": 1.3545981772990887,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004963612981252625,
+      "loss": 6.0524,
+      "mean_token_accuracy": 0.1321226365864277,
+      "num_tokens": 2983799.0,
+      "step": 1635
+    },
+    {
+      "entropy": 6.056794929504394,
+      "epoch": 1.3587406793703396,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004963038373108908,
+      "loss": 6.0179,
+      "mean_token_accuracy": 0.13609340488910676,
+      "num_tokens": 2992675.0,
+      "step": 1640
+    },
+    {
+      "entropy": 6.155933427810669,
+      "epoch": 1.3628831814415907,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004962459301024954,
+      "loss": 6.0838,
+      "mean_token_accuracy": 0.13211635649204254,
+      "num_tokens": 3002483.0,
+      "step": 1645
+    },
+    {
+      "entropy": 6.027872896194458,
+      "epoch": 1.3670256835128418,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004961875766168816,
+      "loss": 5.985,
+      "mean_token_accuracy": 0.13883458971977233,
+      "num_tokens": 3010611.0,
+      "step": 1650
+    },
+    {
+      "entropy": 6.057289028167725,
+      "epoch": 1.371168185584093,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004961287769717547,
+      "loss": 5.9397,
+      "mean_token_accuracy": 0.13197456523776055,
+      "num_tokens": 3019928.0,
+      "step": 1655
+    },
+    {
+      "entropy": 5.9325989246368405,
+      "epoch": 1.3753106876553438,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004960695312857199,
+      "loss": 5.9279,
+      "mean_token_accuracy": 0.13408055454492568,
+      "num_tokens": 3029003.0,
+      "step": 1660
+    },
+    {
+      "entropy": 6.0389604568481445,
+      "epoch": 1.379453189726595,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004960098396782824,
+      "loss": 5.9464,
+      "mean_token_accuracy": 0.1375861033797264,
+      "num_tokens": 3038049.0,
+      "step": 1665
+    },
+    {
+      "entropy": 5.969662141799927,
+      "epoch": 1.3835956917978458,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004959497022698466,
+      "loss": 5.9515,
+      "mean_token_accuracy": 0.14408120438456534,
+      "num_tokens": 3046674.0,
+      "step": 1670
+    },
+    {
+      "entropy": 6.0561059474945065,
+      "epoch": 1.387738193869097,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004958891191817163,
+      "loss": 5.9927,
+      "mean_token_accuracy": 0.12801324650645257,
+      "num_tokens": 3056459.0,
+      "step": 1675
+    },
+    {
+      "entropy": 6.032327270507812,
+      "epoch": 1.391880695940348,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000495828090536094,
+      "loss": 5.9845,
+      "mean_token_accuracy": 0.13036760538816453,
+      "num_tokens": 3066294.0,
+      "step": 1680
+    },
+    {
+      "entropy": 6.0512574195861815,
+      "epoch": 1.3960231980115991,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004957666164560815,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13139644563198088,
+      "num_tokens": 3075420.0,
+      "step": 1685
+    },
+    {
+      "entropy": 6.063203239440918,
+      "epoch": 1.40016570008285,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004957046970656784,
+      "loss": 6.0385,
+      "mean_token_accuracy": 0.13581736162304878,
+      "num_tokens": 3084373.0,
+      "step": 1690
+    },
+    {
+      "entropy": 6.00097541809082,
+      "epoch": 1.4043082021541011,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004956423324897831,
+      "loss": 6.0257,
+      "mean_token_accuracy": 0.13937310948967935,
+      "num_tokens": 3094212.0,
+      "step": 1695
+    },
+    {
+      "entropy": 6.043115425109863,
+      "epoch": 1.408450704225352,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004955795228541917,
+      "loss": 5.9589,
+      "mean_token_accuracy": 0.14452596232295037,
+      "num_tokens": 3102769.0,
+      "step": 1700
+    },
+    {
+      "entropy": 6.040110731124878,
+      "epoch": 1.4125932062966031,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000495516268285598,
+      "loss": 5.9805,
+      "mean_token_accuracy": 0.13440805301070213,
+      "num_tokens": 3111465.0,
+      "step": 1705
+    },
+    {
+      "entropy": 5.978239822387695,
+      "epoch": 1.4167357083678542,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004954525689115935,
+      "loss": 5.9177,
+      "mean_token_accuracy": 0.13326097056269645,
+      "num_tokens": 3121106.0,
+      "step": 1710
+    },
+    {
+      "entropy": 6.007881164550781,
+      "epoch": 1.4208782104391053,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004953884248606669,
+      "loss": 5.945,
+      "mean_token_accuracy": 0.14831372052431108,
+      "num_tokens": 3130662.0,
+      "step": 1715
+    },
+    {
+      "entropy": 5.97642674446106,
+      "epoch": 1.4250207125103562,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004953238362622034,
+      "loss": 5.9812,
+      "mean_token_accuracy": 0.13328263983130456,
+      "num_tokens": 3139538.0,
+      "step": 1720
+    },
+    {
+      "entropy": 6.0256367206573485,
+      "epoch": 1.4291632145816073,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004952588032464855,
+      "loss": 6.0298,
+      "mean_token_accuracy": 0.12707214802503586,
+      "num_tokens": 3148552.0,
+      "step": 1725
+    },
+    {
+      "entropy": 5.996851205825806,
+      "epoch": 1.4333057166528582,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004951933259446919,
+      "loss": 5.9365,
+      "mean_token_accuracy": 0.14197203740477563,
+      "num_tokens": 3156549.0,
+      "step": 1730
+    },
+    {
+      "entropy": 6.114988136291504,
+      "epoch": 1.4374482187241093,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004951274044888975,
+      "loss": 6.1006,
+      "mean_token_accuracy": 0.12147112190723419,
+      "num_tokens": 3166821.0,
+      "step": 1735
+    },
+    {
+      "entropy": 5.960144329071045,
+      "epoch": 1.4415907207953604,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004950610390120731,
+      "loss": 5.9848,
+      "mean_token_accuracy": 0.135729306191206,
+      "num_tokens": 3174962.0,
+      "step": 1740
+    },
+    {
+      "entropy": 6.087535095214844,
+      "epoch": 1.4457332228666115,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000494994229648085,
+      "loss": 5.8903,
+      "mean_token_accuracy": 0.13537728488445283,
+      "num_tokens": 3184027.0,
+      "step": 1745
+    },
+    {
+      "entropy": 5.957475805282593,
+      "epoch": 1.4498757249378624,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004949269765316948,
+      "loss": 6.0321,
+      "mean_token_accuracy": 0.13071285635232927,
+      "num_tokens": 3193186.0,
+      "step": 1750
+    },
+    {
+      "entropy": 6.171153354644775,
+      "epoch": 1.4540182270091135,
+      "grad_norm": 2.140625,
+      "learning_rate": 0.0004948592797985599,
+      "loss": 6.0525,
+      "mean_token_accuracy": 0.13555259853601456,
+      "num_tokens": 3202676.0,
+      "step": 1755
+    },
+    {
+      "entropy": 6.123908805847168,
+      "epoch": 1.4581607290803644,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947911395852317,
+      "loss": 6.1524,
+      "mean_token_accuracy": 0.1352410912513733,
+      "num_tokens": 3211950.0,
+      "step": 1760
+    },
+    {
+      "entropy": 6.120599699020386,
+      "epoch": 1.4623032311516155,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947225560291565,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12961760386824608,
+      "num_tokens": 3221135.0,
+      "step": 1765
+    },
+    {
+      "entropy": 5.962483358383179,
+      "epoch": 1.4664457332228666,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004946535292686746,
+      "loss": 5.8975,
+      "mean_token_accuracy": 0.13825839310884475,
+      "num_tokens": 3230174.0,
+      "step": 1770
+    },
+    {
+      "entropy": 5.979943370819091,
+      "epoch": 1.4705882352941178,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004945840594430209,
+      "loss": 5.8871,
+      "mean_token_accuracy": 0.1381668671965599,
+      "num_tokens": 3238898.0,
+      "step": 1775
+    },
+    {
+      "entropy": 5.973515844345092,
+      "epoch": 1.4747307373653686,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004945141466923235,
+      "loss": 5.9292,
+      "mean_token_accuracy": 0.14479121565818787,
+      "num_tokens": 3247550.0,
+      "step": 1780
+    },
+    {
+      "entropy": 6.113377714157105,
+      "epoch": 1.4788732394366197,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004944437911576041,
+      "loss": 6.0779,
+      "mean_token_accuracy": 0.12900342419743538,
+      "num_tokens": 3256810.0,
+      "step": 1785
+    },
+    {
+      "entropy": 5.9020613670349125,
+      "epoch": 1.4830157415078706,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004943729929807772,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.139550269395113,
+      "num_tokens": 3265886.0,
+      "step": 1790
+    },
+    {
+      "entropy": 6.06021089553833,
+      "epoch": 1.4871582435791217,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004943017523046507,
+      "loss": 5.9273,
+      "mean_token_accuracy": 0.137468421459198,
+      "num_tokens": 3274522.0,
+      "step": 1795
+    },
+    {
+      "entropy": 6.027210426330567,
+      "epoch": 1.4913007456503728,
+      "grad_norm": 1.25,
+      "learning_rate": 0.000494230069272925,
+      "loss": 6.0486,
+      "mean_token_accuracy": 0.13558472618460654,
+      "num_tokens": 3283388.0,
+      "step": 1800
+    },
+    {
+      "entropy": 5.989331531524658,
+      "epoch": 1.495443247721624,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004941579440301923,
+      "loss": 5.9224,
+      "mean_token_accuracy": 0.1305856943130493,
+      "num_tokens": 3291887.0,
+      "step": 1805
+    },
+    {
+      "entropy": 5.96136965751648,
+      "epoch": 1.4995857497928748,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940853767219372,
+      "loss": 5.9685,
+      "mean_token_accuracy": 0.13564062863588333,
+      "num_tokens": 3300674.0,
+      "step": 1810
+    },
+    {
+      "entropy": 5.9364429950714115,
+      "epoch": 1.503728251864126,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940123674945359,
+      "loss": 5.8311,
+      "mean_token_accuracy": 0.13808463513851166,
+      "num_tokens": 3309745.0,
+      "step": 1815
+    },
+    {
+      "entropy": 6.076629638671875,
+      "epoch": 1.5078707539353768,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004939389164952561,
+      "loss": 5.9722,
+      "mean_token_accuracy": 0.1378110609948635,
+      "num_tokens": 3318888.0,
+      "step": 1820
+    },
+    {
+      "entropy": 5.8970863819122314,
+      "epoch": 1.512013256006628,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004938650238722564,
+      "loss": 5.9296,
+      "mean_token_accuracy": 0.13823849260807036,
+      "num_tokens": 3328274.0,
+      "step": 1825
+    },
+    {
+      "entropy": 6.003948831558228,
+      "epoch": 1.516155758077879,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004937906897745861,
+      "loss": 5.9387,
+      "mean_token_accuracy": 0.1468382939696312,
+      "num_tokens": 3337579.0,
+      "step": 1830
+    },
+    {
+      "entropy": 6.045965003967285,
+      "epoch": 1.5202982601491302,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004937159143521856,
+      "loss": 5.9081,
+      "mean_token_accuracy": 0.14555162489414214,
+      "num_tokens": 3346262.0,
+      "step": 1835
+    },
+    {
+      "entropy": 5.972390079498291,
+      "epoch": 1.5244407622203813,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004936406977558847,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.13030771315097808,
+      "num_tokens": 3354833.0,
+      "step": 1840
+    },
+    {
+      "entropy": 6.051387977600098,
+      "epoch": 1.5285832642916322,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004935650401374039,
+      "loss": 6.0906,
+      "mean_token_accuracy": 0.14119647368788718,
+      "num_tokens": 3364314.0,
+      "step": 1845
+    },
+    {
+      "entropy": 6.046140813827515,
+      "epoch": 1.532725766362883,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004934889416493524,
+      "loss": 5.9157,
+      "mean_token_accuracy": 0.13524662256240844,
+      "num_tokens": 3373648.0,
+      "step": 1850
+    },
+    {
+      "entropy": 5.863892507553101,
+      "epoch": 1.5368682684341342,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004934124024452295,
+      "loss": 5.7869,
+      "mean_token_accuracy": 0.1471114367246628,
+      "num_tokens": 3382919.0,
+      "step": 1855
+    },
+    {
+      "entropy": 5.888700532913208,
+      "epoch": 1.5410107705053853,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004933354226794232,
+      "loss": 5.9383,
+      "mean_token_accuracy": 0.1432707317173481,
+      "num_tokens": 3391814.0,
+      "step": 1860
+    },
+    {
+      "entropy": 6.080925798416137,
+      "epoch": 1.5451532725766364,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004932580025072098,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.13580586463212968,
+      "num_tokens": 3400392.0,
+      "step": 1865
+    },
+    {
+      "entropy": 5.996384525299073,
+      "epoch": 1.5492957746478875,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004931801420847545,
+      "loss": 6.036,
+      "mean_token_accuracy": 0.13089759424328803,
+      "num_tokens": 3410430.0,
+      "step": 1870
+    },
+    {
+      "entropy": 5.932257795333863,
+      "epoch": 1.5534382767191384,
+      "grad_norm": 0.9609375,
+      "learning_rate": 0.0004931018415691102,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.13694921880960464,
+      "num_tokens": 3420654.0,
+      "step": 1875
+    },
+    {
+      "entropy": 5.951343011856079,
+      "epoch": 1.5575807787903893,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004930231011182176,
+      "loss": 5.9986,
+      "mean_token_accuracy": 0.13937177062034606,
+      "num_tokens": 3430514.0,
+      "step": 1880
+    },
+    {
+      "entropy": 6.071512508392334,
+      "epoch": 1.5617232808616404,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004929439208909048,
+      "loss": 5.9331,
+      "mean_token_accuracy": 0.1375361390411854,
+      "num_tokens": 3439551.0,
+      "step": 1885
+    },
+    {
+      "entropy": 5.902947330474854,
+      "epoch": 1.5658657829328915,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004928643010468869,
+      "loss": 5.8911,
+      "mean_token_accuracy": 0.13622887432575226,
+      "num_tokens": 3448160.0,
+      "step": 1890
+    },
+    {
+      "entropy": 5.993059539794922,
+      "epoch": 1.5700082850041426,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004927842417467659,
+      "loss": 5.9517,
+      "mean_token_accuracy": 0.14548188596963882,
+      "num_tokens": 3457296.0,
+      "step": 1895
+    },
+    {
+      "entropy": 6.027637386322022,
+      "epoch": 1.5741507870753937,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004927037431520302,
+      "loss": 5.9073,
+      "mean_token_accuracy": 0.14102519080042838,
+      "num_tokens": 3466108.0,
+      "step": 1900
+    },
+    {
+      "entropy": 5.975209665298462,
+      "epoch": 1.5782932891466446,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004926228054250541,
+      "loss": 5.9941,
+      "mean_token_accuracy": 0.14009249955415726,
+      "num_tokens": 3475336.0,
+      "step": 1905
+    },
+    {
+      "entropy": 6.073916673660278,
+      "epoch": 1.5824357912178955,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004925414287290979,
+      "loss": 5.9668,
+      "mean_token_accuracy": 0.13723743334412575,
+      "num_tokens": 3483963.0,
+      "step": 1910
+    },
+    {
+      "entropy": 5.848618030548096,
+      "epoch": 1.5865782932891466,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004924596132283075,
+      "loss": 5.8765,
+      "mean_token_accuracy": 0.14485997408628465,
+      "num_tokens": 3492947.0,
+      "step": 1915
+    },
+    {
+      "entropy": 5.966853284835816,
+      "epoch": 1.5907207953603977,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004923773590877135,
+      "loss": 5.9651,
+      "mean_token_accuracy": 0.13334692791104316,
+      "num_tokens": 3501877.0,
+      "step": 1920
+    },
+    {
+      "entropy": 6.042904996871949,
+      "epoch": 1.5948632974316488,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004922946664732314,
+      "loss": 6.0304,
+      "mean_token_accuracy": 0.13204361274838447,
+      "num_tokens": 3510610.0,
+      "step": 1925
+    },
+    {
+      "entropy": 6.0583656311035154,
+      "epoch": 1.5990057995029,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004922115355516615,
+      "loss": 5.9841,
+      "mean_token_accuracy": 0.13304307833313941,
+      "num_tokens": 3519829.0,
+      "step": 1930
+    },
+    {
+      "entropy": 6.015839862823486,
+      "epoch": 1.6031483015741508,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004921279664906877,
+      "loss": 5.9661,
+      "mean_token_accuracy": 0.13071200698614122,
+      "num_tokens": 3529408.0,
+      "step": 1935
+    },
+    {
+      "entropy": 5.924501991271972,
+      "epoch": 1.6072908036454017,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004920439594588781,
+      "loss": 5.8955,
+      "mean_token_accuracy": 0.14675913602113724,
+      "num_tokens": 3538068.0,
+      "step": 1940
+    },
+    {
+      "entropy": 6.051935148239136,
+      "epoch": 1.6114333057166528,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000491959514625684,
+      "loss": 6.0177,
+      "mean_token_accuracy": 0.13845598921179772,
+      "num_tokens": 3547302.0,
+      "step": 1945
+    },
+    {
+      "entropy": 5.956210565567017,
+      "epoch": 1.6155758077879039,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00049187463216144,
+      "loss": 5.9024,
+      "mean_token_accuracy": 0.145584287494421,
+      "num_tokens": 3556087.0,
+      "step": 1950
+    },
+    {
+      "entropy": 6.046857452392578,
+      "epoch": 1.619718309859155,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.000491789312237363,
+      "loss": 5.9857,
+      "mean_token_accuracy": 0.13579782098531723,
+      "num_tokens": 3566235.0,
+      "step": 1955
+    },
+    {
+      "entropy": 5.983897924423218,
+      "epoch": 1.623860811930406,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004917035550255528,
+      "loss": 5.899,
+      "mean_token_accuracy": 0.14092317298054696,
+      "num_tokens": 3574762.0,
+      "step": 1960
+    },
+    {
+      "entropy": 5.904513597488403,
+      "epoch": 1.628003314001657,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000491617360698991,
+      "loss": 5.8837,
+      "mean_token_accuracy": 0.139695380628109,
+      "num_tokens": 3583359.0,
+      "step": 1965
+    },
+    {
+      "entropy": 5.920687866210938,
+      "epoch": 1.6321458160729079,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004915307294315412,
+      "loss": 5.8505,
+      "mean_token_accuracy": 0.14011457338929176,
+      "num_tokens": 3591436.0,
+      "step": 1970
+    },
+    {
+      "entropy": 5.926318550109864,
+      "epoch": 1.636288318144159,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.000491443661397948,
+      "loss": 5.9355,
+      "mean_token_accuracy": 0.13468224480748175,
+      "num_tokens": 3601054.0,
+      "step": 1975
+    },
+    {
+      "entropy": 5.974443817138672,
+      "epoch": 1.64043082021541,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004913561567738368,
+      "loss": 5.9014,
+      "mean_token_accuracy": 0.1383673779666424,
+      "num_tokens": 3610641.0,
+      "step": 1980
+    },
+    {
+      "entropy": 5.912512636184692,
+      "epoch": 1.6445733222866612,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004912682157357146,
+      "loss": 5.8447,
+      "mean_token_accuracy": 0.13975749984383584,
+      "num_tokens": 3619351.0,
+      "step": 1985
+    },
+    {
+      "entropy": 5.853101539611816,
+      "epoch": 1.6487158243579123,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004911798384609675,
+      "loss": 5.8306,
+      "mean_token_accuracy": 0.1472959376871586,
+      "num_tokens": 3627341.0,
+      "step": 1990
+    },
+    {
+      "entropy": 5.942045879364014,
+      "epoch": 1.6528583264291632,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004910910251278626,
+      "loss": 5.8918,
+      "mean_token_accuracy": 0.14801610112190247,
+      "num_tokens": 3637132.0,
+      "step": 1995
+    },
+    {
+      "entropy": 5.919465351104736,
+      "epoch": 1.6570008285004143,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004910017759155458,
+      "loss": 5.9479,
+      "mean_token_accuracy": 0.1400071859359741,
+      "num_tokens": 3646196.0,
+      "step": 2000
+    },
+    {
+      "epoch": 1.6570008285004143,
+      "eval_entropy": 5.874394122979789,
+      "eval_loss": 6.1148576736450195,
+      "eval_mean_token_accuracy": 0.1363023624046525,
+      "eval_num_tokens": 3646196.0,
+      "eval_runtime": 2.7574,
+      "eval_samples_per_second": 1358.871,
+      "eval_steps_per_second": 170.085,
+      "step": 2000
+    },
+    {
+      "entropy": 5.967284250259399,
+      "epoch": 1.6611433305716652,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004909120910040427,
+      "loss": 5.8839,
+      "mean_token_accuracy": 0.1461731344461441,
+      "num_tokens": 3654658.0,
+      "step": 2005
+    },
+    {
+      "entropy": 6.045904684066772,
+      "epoch": 1.6652858326429163,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004908219705742574,
+      "loss": 6.1605,
+      "mean_token_accuracy": 0.13489469960331918,
+      "num_tokens": 3664509.0,
+      "step": 2010
+    },
+    {
+      "entropy": 6.002130031585693,
+      "epoch": 1.6694283347141674,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004907314148079727,
+      "loss": 5.8567,
+      "mean_token_accuracy": 0.1425239197909832,
+      "num_tokens": 3672983.0,
+      "step": 2015
+    },
+    {
+      "entropy": 5.708412790298462,
+      "epoch": 1.6735708367854185,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004906404238878496,
+      "loss": 5.7221,
+      "mean_token_accuracy": 0.14639501571655272,
+      "num_tokens": 3681196.0,
+      "step": 2020
+    },
+    {
+      "entropy": 5.97982873916626,
+      "epoch": 1.6777133388566694,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004905489979974265,
+      "loss": 5.9098,
+      "mean_token_accuracy": 0.14081615954637527,
+      "num_tokens": 3690077.0,
+      "step": 2025
+    },
+    {
+      "entropy": 5.942774772644043,
+      "epoch": 1.6818558409279205,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004904571373211197,
+      "loss": 5.9906,
+      "mean_token_accuracy": 0.13563016131520272,
+      "num_tokens": 3700121.0,
+      "step": 2030
+    },
+    {
+      "entropy": 5.897730588912964,
+      "epoch": 1.6859983429991714,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000490364842044222,
+      "loss": 5.8074,
+      "mean_token_accuracy": 0.14530285224318504,
+      "num_tokens": 3709618.0,
+      "step": 2035
+    },
+    {
+      "entropy": 5.954602289199829,
+      "epoch": 1.6901408450704225,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004902721123529031,
+      "loss": 5.9869,
+      "mean_token_accuracy": 0.12953415215015412,
+      "num_tokens": 3719570.0,
+      "step": 2040
+    },
+    {
+      "entropy": 6.074023342132568,
+      "epoch": 1.6942833471416736,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000490178948434209,
+      "loss": 5.9267,
+      "mean_token_accuracy": 0.14249598532915114,
+      "num_tokens": 3729354.0,
+      "step": 2045
+    },
+    {
+      "entropy": 5.833365964889526,
+      "epoch": 1.6984258492129247,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004900853504760614,
+      "loss": 5.8409,
+      "mean_token_accuracy": 0.14450331926345825,
+      "num_tokens": 3738453.0,
+      "step": 2050
+    },
+    {
+      "entropy": 5.888468265533447,
+      "epoch": 1.7025683512841756,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004899913186672577,
+      "loss": 5.8165,
+      "mean_token_accuracy": 0.14293194860219954,
+      "num_tokens": 3747815.0,
+      "step": 2055
+    },
+    {
+      "entropy": 5.914711236953735,
+      "epoch": 1.7067108533554267,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004898968531974702,
+      "loss": 5.9249,
+      "mean_token_accuracy": 0.14642315953969956,
+      "num_tokens": 3757298.0,
+      "step": 2060
+    },
+    {
+      "entropy": 5.978992033004761,
+      "epoch": 1.7108533554266776,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004898019542572462,
+      "loss": 5.9124,
+      "mean_token_accuracy": 0.14719650894403458,
+      "num_tokens": 3765939.0,
+      "step": 2065
+    },
+    {
+      "entropy": 6.005469894409179,
+      "epoch": 1.7149958574979287,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004897066220380073,
+      "loss": 5.933,
+      "mean_token_accuracy": 0.13779435828328132,
+      "num_tokens": 3775160.0,
+      "step": 2070
+    },
+    {
+      "entropy": 5.921374797821045,
+      "epoch": 1.7191383595691798,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004896108567320489,
+      "loss": 5.831,
+      "mean_token_accuracy": 0.14186858981847764,
+      "num_tokens": 3785181.0,
+      "step": 2075
+    },
+    {
+      "entropy": 5.972924375534058,
+      "epoch": 1.723280861640431,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048951465853254,
+      "loss": 5.9444,
+      "mean_token_accuracy": 0.14323145076632499,
+      "num_tokens": 3794531.0,
+      "step": 2080
+    },
+    {
+      "entropy": 5.953138160705566,
+      "epoch": 1.7274233637116818,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004894180276335231,
+      "loss": 5.934,
+      "mean_token_accuracy": 0.1396125227212906,
+      "num_tokens": 3804602.0,
+      "step": 2085
+    },
+    {
+      "entropy": 5.9721667766571045,
+      "epoch": 1.731565865782933,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004893209642299132,
+      "loss": 5.97,
+      "mean_token_accuracy": 0.1395590640604496,
+      "num_tokens": 3813394.0,
+      "step": 2090
+    },
+    {
+      "entropy": 5.97849326133728,
+      "epoch": 1.7357083678541838,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004892234685174976,
+      "loss": 5.962,
+      "mean_token_accuracy": 0.13808128908276557,
+      "num_tokens": 3821604.0,
+      "step": 2095
+    },
+    {
+      "entropy": 5.967495775222778,
+      "epoch": 1.739850869925435,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004891255406929359,
+      "loss": 5.9564,
+      "mean_token_accuracy": 0.13652343899011612,
+      "num_tokens": 3831977.0,
+      "step": 2100
+    },
+    {
+      "entropy": 5.98737063407898,
+      "epoch": 1.743993371996686,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004890271809537595,
+      "loss": 5.9017,
+      "mean_token_accuracy": 0.1393343411386013,
+      "num_tokens": 3840684.0,
+      "step": 2105
+    },
+    {
+      "entropy": 5.870862340927124,
+      "epoch": 1.7481358740679371,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004889283894983704,
+      "loss": 5.8147,
+      "mean_token_accuracy": 0.1389534741640091,
+      "num_tokens": 3851147.0,
+      "step": 2110
+    },
+    {
+      "entropy": 6.002704238891601,
+      "epoch": 1.752278376139188,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000488829166526042,
+      "loss": 5.9838,
+      "mean_token_accuracy": 0.13991605415940284,
+      "num_tokens": 3859881.0,
+      "step": 2115
+    },
+    {
+      "entropy": 5.948231506347656,
+      "epoch": 1.7564208782104391,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004887295122369176,
+      "loss": 6.0107,
+      "mean_token_accuracy": 0.13371825441718102,
+      "num_tokens": 3870151.0,
+      "step": 2120
+    },
+    {
+      "entropy": 5.99525203704834,
+      "epoch": 1.76056338028169,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.000488629426832011,
+      "loss": 5.9313,
+      "mean_token_accuracy": 0.13850879445672035,
+      "num_tokens": 3878398.0,
+      "step": 2125
+    },
+    {
+      "entropy": 5.924004030227661,
+      "epoch": 1.7647058823529411,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004885289105132054,
+      "loss": 5.8893,
+      "mean_token_accuracy": 0.14114601090550422,
+      "num_tokens": 3888007.0,
+      "step": 2130
+    },
+    {
+      "entropy": 5.930246257781983,
+      "epoch": 1.7688483844241922,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004884279634832532,
+      "loss": 5.8728,
+      "mean_token_accuracy": 0.14278061985969542,
+      "num_tokens": 3896945.0,
+      "step": 2135
+    },
+    {
+      "entropy": 5.940092372894287,
+      "epoch": 1.7729908864954433,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004883265859457754,
+      "loss": 5.8905,
+      "mean_token_accuracy": 0.1457919418811798,
+      "num_tokens": 3906049.0,
+      "step": 2140
+    },
+    {
+      "entropy": 5.866062164306641,
+      "epoch": 1.7771333885666944,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048822477810526186,
+      "loss": 5.8422,
+      "mean_token_accuracy": 0.1388966679573059,
+      "num_tokens": 3915050.0,
+      "step": 2145
+    },
+    {
+      "entropy": 5.966696119308471,
+      "epoch": 1.7812758906379453,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00048812254016706994,
+      "loss": 5.9205,
+      "mean_token_accuracy": 0.14728582575917243,
+      "num_tokens": 3924031.0,
+      "step": 2150
+    },
+    {
+      "entropy": 5.915832757949829,
+      "epoch": 1.7854183927091962,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004880198723374247,
+      "loss": 5.9776,
+      "mean_token_accuracy": 0.14149753525853156,
+      "num_tokens": 3933756.0,
+      "step": 2155
+    },
+    {
+      "entropy": 5.959774684906006,
+      "epoch": 1.7895608947804473,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048791677482341845,
+      "loss": 5.9592,
+      "mean_token_accuracy": 0.13750381171703338,
+      "num_tokens": 3943129.0,
+      "step": 2160
+    },
+    {
+      "entropy": 5.881538438796997,
+      "epoch": 1.7937033968516984,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048781324783301016,
+      "loss": 5.7912,
+      "mean_token_accuracy": 0.14508036673069,
+      "num_tokens": 3951494.0,
+      "step": 2165
+    },
+    {
+      "entropy": 5.946735525131226,
+      "epoch": 1.7978458989229495,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048770929157502505,
+      "loss": 5.9565,
+      "mean_token_accuracy": 0.143115097284317,
+      "num_tokens": 3960588.0,
+      "step": 2170
+    },
+    {
+      "entropy": 5.9805809497833256,
+      "epoch": 1.8019884009942007,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004876049062591543,
+      "loss": 5.9226,
+      "mean_token_accuracy": 0.13506680428981782,
+      "num_tokens": 3970135.0,
+      "step": 2175
+    },
+    {
+      "entropy": 5.950060653686523,
+      "epoch": 1.8061309030654515,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048750009209595443,
+      "loss": 5.9042,
+      "mean_token_accuracy": 0.13944360390305519,
+      "num_tokens": 3979569.0,
+      "step": 2180
+    },
+    {
+      "entropy": 5.88271656036377,
+      "epoch": 1.8102734051367024,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048739484929684714,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.144245932251215,
+      "num_tokens": 3987885.0,
+      "step": 2185
+    },
+    {
+      "entropy": 5.933677864074707,
+      "epoch": 1.8144159072079535,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048728917807411856,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.13125594183802605,
+      "num_tokens": 3997726.0,
+      "step": 2190
+    },
+    {
+      "entropy": 6.008653068542481,
+      "epoch": 1.8185584092792046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004871830786409191,
+      "loss": 5.8436,
+      "mean_token_accuracy": 0.14898036047816277,
+      "num_tokens": 4006437.0,
+      "step": 2195
+    },
+    {
+      "entropy": 5.856683444976807,
+      "epoch": 1.8227009113504558,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00048707655121126296,
+      "loss": 5.8124,
+      "mean_token_accuracy": 0.14927435666322708,
+      "num_tokens": 4015326.0,
+      "step": 2200
+    },
+    {
+      "entropy": 5.924995994567871,
+      "epoch": 1.8268434134217069,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048696959600002767,
+      "loss": 5.8722,
+      "mean_token_accuracy": 0.14032577201724053,
+      "num_tokens": 4024294.0,
+      "step": 2205
+    },
+    {
+      "entropy": 5.881852293014527,
+      "epoch": 1.8309859154929577,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048686221322295347,
+      "loss": 5.9028,
+      "mean_token_accuracy": 0.14340249821543694,
+      "num_tokens": 4033341.0,
+      "step": 2210
+    },
+    {
+      "entropy": 5.951443433761597,
+      "epoch": 1.8351284175642086,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048675440309664314,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.1474481076002121,
+      "num_tokens": 4042446.0,
+      "step": 2215
+    },
+    {
+      "entropy": 5.832607173919678,
+      "epoch": 1.8392709196354597,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00048664616583856166,
+      "loss": 5.8924,
+      "mean_token_accuracy": 0.13868724405765534,
+      "num_tokens": 4051849.0,
+      "step": 2220
+    },
+    {
+      "entropy": 6.026660823822022,
+      "epoch": 1.8434134217067109,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00048653750166703516,
+      "loss": 5.9855,
+      "mean_token_accuracy": 0.1381051518023014,
+      "num_tokens": 4061075.0,
+      "step": 2225
+    },
+    {
+      "entropy": 5.976817560195923,
+      "epoch": 1.847555923777962,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004864284108012513,
+      "loss": 5.9524,
+      "mean_token_accuracy": 0.13498588278889656,
+      "num_tokens": 4071022.0,
+      "step": 2230
+    },
+    {
+      "entropy": 5.884273719787598,
+      "epoch": 1.851698425849213,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004863188934612583,
+      "loss": 5.854,
+      "mean_token_accuracy": 0.1435965158045292,
+      "num_tokens": 4080728.0,
+      "step": 2235
+    },
+    {
+      "entropy": 5.8848789691925045,
+      "epoch": 1.855840927920464,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004862089498679645,
+      "loss": 5.8121,
+      "mean_token_accuracy": 0.15146355628967284,
+      "num_tokens": 4088712.0,
+      "step": 2240
+    },
+    {
+      "entropy": 5.904728364944458,
+      "epoch": 1.8599834299917148,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004860985802431383,
+      "loss": 5.8445,
+      "mean_token_accuracy": 0.14107747822999955,
+      "num_tokens": 4097488.0,
+      "step": 2245
+    },
+    {
+      "entropy": 5.815548610687256,
+      "epoch": 1.864125932062966,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004859877848094071,
+      "loss": 5.8328,
+      "mean_token_accuracy": 0.14647450745105745,
+      "num_tokens": 4106485.0,
+      "step": 2250
+    },
+    {
+      "entropy": 5.969652986526489,
+      "epoch": 1.868268434134217,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004858765637902575,
+      "loss": 5.8016,
+      "mean_token_accuracy": 0.14588006138801574,
+      "num_tokens": 4115806.0,
+      "step": 2255
+    },
+    {
+      "entropy": 5.982199335098267,
+      "epoch": 1.8724109362054682,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004857649174100344,
+      "loss": 5.9353,
+      "mean_token_accuracy": 0.14478921219706536,
+      "num_tokens": 4124636.0,
+      "step": 2260
+    },
+    {
+      "entropy": 5.869907474517822,
+      "epoch": 1.8765534382767193,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.0004856528458939409,
+      "loss": 5.8948,
+      "mean_token_accuracy": 0.13403457626700402,
+      "num_tokens": 4133876.0,
+      "step": 2265
+    },
+    {
+      "entropy": 5.836872100830078,
+      "epoch": 1.8806959403479702,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004855403494680373,
+      "loss": 5.8159,
+      "mean_token_accuracy": 0.14096100330352784,
+      "num_tokens": 4143555.0,
+      "step": 2270
+    },
+    {
+      "entropy": 5.871636962890625,
+      "epoch": 1.884838442419221,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00048542742835924133,
+      "loss": 5.7773,
+      "mean_token_accuracy": 0.14253296032547952,
+      "num_tokens": 4153007.0,
+      "step": 2275
+    },
+    {
+      "entropy": 5.766701364517212,
+      "epoch": 1.8889809444904722,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048531408279532705,
+      "loss": 5.8171,
+      "mean_token_accuracy": 0.14552054405212403,
+      "num_tokens": 4162107.0,
+      "step": 2280
+    },
+    {
+      "entropy": 5.884533357620239,
+      "epoch": 1.8931234465617233,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048520031300492507,
+      "loss": 5.8208,
+      "mean_token_accuracy": 0.14203491136431695,
+      "num_tokens": 4170920.0,
+      "step": 2285
+    },
+    {
+      "entropy": 5.9367118835449215,
+      "epoch": 1.8972659486329744,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048508611921752124,
+      "loss": 5.8366,
+      "mean_token_accuracy": 0.14547978863120078,
+      "num_tokens": 4180226.0,
+      "step": 2290
+    },
+    {
+      "entropy": 5.804201984405518,
+      "epoch": 1.9014084507042255,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00048497150166345703,
+      "loss": 5.7799,
+      "mean_token_accuracy": 0.14307984560728074,
+      "num_tokens": 4189283.0,
+      "step": 2295
+    },
+    {
+      "entropy": 5.833661937713623,
+      "epoch": 1.9055509527754764,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004848564605739287,
+      "loss": 5.8181,
+      "mean_token_accuracy": 0.14286661818623542,
+      "num_tokens": 4199017.0,
+      "step": 2300
+    },
+    {
+      "entropy": 5.985245418548584,
+      "epoch": 1.9096934548467275,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048474099618098644,
+      "loss": 5.9557,
+      "mean_token_accuracy": 0.13776218444108962,
+      "num_tokens": 4207756.0,
+      "step": 2305
+    },
+    {
+      "entropy": 5.926583385467529,
+      "epoch": 1.9138359569179784,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004846251087175348,
+      "loss": 5.8467,
+      "mean_token_accuracy": 0.14270823299884797,
+      "num_tokens": 4216721.0,
+      "step": 2310
+    },
+    {
+      "entropy": 5.816466999053955,
+      "epoch": 1.9179784589892295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004845087984173312,
+      "loss": 5.8214,
+      "mean_token_accuracy": 0.14952016696333886,
+      "num_tokens": 4225596.0,
+      "step": 2315
+    },
+    {
+      "entropy": 5.975145244598389,
+      "epoch": 1.9221209610604806,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048439206551498644,
+      "loss": 5.8881,
+      "mean_token_accuracy": 0.14604572355747222,
+      "num_tokens": 4234500.0,
+      "step": 2320
+    },
+    {
+      "entropy": 5.83410792350769,
+      "epoch": 1.9262634631317317,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004842749102459635,
+      "loss": 5.8331,
+      "mean_token_accuracy": 0.14477182626724244,
+      "num_tokens": 4243240.0,
+      "step": 2325
+    },
+    {
+      "entropy": 5.799895906448365,
+      "epoch": 1.9304059652029826,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048415733284657727,
+      "loss": 5.8249,
+      "mean_token_accuracy": 0.14724751114845275,
+      "num_tokens": 4251892.0,
+      "step": 2330
+    },
+    {
+      "entropy": 5.914888668060303,
+      "epoch": 1.9345484672742337,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004840393335539943,
+      "loss": 5.784,
+      "mean_token_accuracy": 0.14537777602672577,
+      "num_tokens": 4261447.0,
+      "step": 2335
+    },
+    {
+      "entropy": 5.93565788269043,
+      "epoch": 1.9386909693454846,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048392091260623195,
+      "loss": 5.9202,
+      "mean_token_accuracy": 0.1471864774823189,
+      "num_tokens": 4270120.0,
+      "step": 2340
+    },
+    {
+      "entropy": 5.905978488922119,
+      "epoch": 1.9428334714167357,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048380207024215836,
+      "loss": 5.7991,
+      "mean_token_accuracy": 0.1482786476612091,
+      "num_tokens": 4278300.0,
+      "step": 2345
+    },
+    {
+      "entropy": 5.905145263671875,
+      "epoch": 1.9469759734879868,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00048368280670149145,
+      "loss": 5.8487,
+      "mean_token_accuracy": 0.1461447760462761,
+      "num_tokens": 4286454.0,
+      "step": 2350
+    },
+    {
+      "entropy": 5.805000495910645,
+      "epoch": 1.951118475559238,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004835631222247989,
+      "loss": 5.7243,
+      "mean_token_accuracy": 0.15050614029169082,
+      "num_tokens": 4294752.0,
+      "step": 2355
+    },
+    {
+      "entropy": 5.907592630386352,
+      "epoch": 1.9552609776304888,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00048344301705349735,
+      "loss": 5.7974,
+      "mean_token_accuracy": 0.14830030649900436,
+      "num_tokens": 4303195.0,
+      "step": 2360
+    },
+    {
+      "entropy": 5.841587924957276,
+      "epoch": 1.95940347970174,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048332249142985195,
+      "loss": 5.9211,
+      "mean_token_accuracy": 0.1373597078025341,
+      "num_tokens": 4311961.0,
+      "step": 2365
+    },
+    {
+      "entropy": 5.900353670120239,
+      "epoch": 1.9635459817729908,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004832015455969763,
+      "loss": 5.7748,
+      "mean_token_accuracy": 0.13879901468753814,
+      "num_tokens": 4322267.0,
+      "step": 2370
+    },
+    {
+      "entropy": 5.774641275405884,
+      "epoch": 1.9676884838442419,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048308017979883114,
+      "loss": 5.8838,
+      "mean_token_accuracy": 0.1426581546664238,
+      "num_tokens": 4330584.0,
+      "step": 2375
+    },
+    {
+      "entropy": 5.840176010131836,
+      "epoch": 1.971830985915493,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048295839428022454,
+      "loss": 5.7215,
+      "mean_token_accuracy": 0.14949245899915695,
+      "num_tokens": 4339215.0,
+      "step": 2380
+    },
+    {
+      "entropy": 5.869688034057617,
+      "epoch": 1.975973487986744,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00048283618928681127,
+      "loss": 5.7418,
+      "mean_token_accuracy": 0.1501791574060917,
+      "num_tokens": 4347711.0,
+      "step": 2385
+    },
+    {
+      "entropy": 5.764533996582031,
+      "epoch": 1.980115990057995,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004827135650650923,
+      "loss": 5.7445,
+      "mean_token_accuracy": 0.14758301600813867,
+      "num_tokens": 4356982.0,
+      "step": 2390
+    },
+    {
+      "entropy": 5.770398235321045,
+      "epoch": 1.984258492129246,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004825905218624139,
+      "loss": 5.7696,
+      "mean_token_accuracy": 0.14773683473467827,
+      "num_tokens": 4365378.0,
+      "step": 2395
+    },
+    {
+      "entropy": 5.9908288478851315,
+      "epoch": 1.988400994200497,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048246705992696756,
+      "loss": 5.8174,
+      "mean_token_accuracy": 0.14142358154058457,
+      "num_tokens": 4374007.0,
+      "step": 2400
+    },
+    {
+      "entropy": 5.9741987705230715,
+      "epoch": 1.992543496271748,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048234317950778975,
+      "loss": 5.9346,
+      "mean_token_accuracy": 0.1409923940896988,
+      "num_tokens": 4383909.0,
+      "step": 2405
+    },
+    {
+      "entropy": 5.967488718032837,
+      "epoch": 1.9966859983429992,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004822188808547607,
+      "loss": 5.9967,
+      "mean_token_accuracy": 0.13560240790247918,
+      "num_tokens": 4393145.0,
+      "step": 2410
+    },
+    {
+      "entropy": 5.751282596588135,
+      "epoch": 2.0008285004142503,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004820941642186043,
+      "loss": 5.7146,
+      "mean_token_accuracy": 0.14043126851320267,
+      "num_tokens": 4402024.0,
+      "step": 2415
+    },
+    {
+      "entropy": 5.91456356048584,
+      "epoch": 2.0049710024855014,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004819690298508879,
+      "loss": 5.5395,
+      "mean_token_accuracy": 0.1603303700685501,
+      "num_tokens": 4411377.0,
+      "step": 2420
+    },
+    {
+      "entropy": 5.758482313156128,
+      "epoch": 2.009113504556752,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048184347800402083,
+      "loss": 5.4299,
+      "mean_token_accuracy": 0.16564757078886033,
+      "num_tokens": 4419781.0,
+      "step": 2425
+    },
+    {
+      "entropy": 5.727555131912231,
+      "epoch": 2.013256006628003,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004817175089312551,
+      "loss": 5.4154,
+      "mean_token_accuracy": 0.16400155574083328,
+      "num_tokens": 4428427.0,
+      "step": 2430
+    },
+    {
+      "entropy": 5.749885892868042,
+      "epoch": 2.0173985086992543,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048159112288668403,
+      "loss": 5.4586,
+      "mean_token_accuracy": 0.15933601409196854,
+      "num_tokens": 4438156.0,
+      "step": 2435
+    },
+    {
+      "entropy": 5.876013088226318,
+      "epoch": 2.0215410107705054,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00048146432012524215,
+      "loss": 5.4819,
+      "mean_token_accuracy": 0.16306492537260056,
+      "num_tokens": 4446342.0,
+      "step": 2440
+    },
+    {
+      "entropy": 5.738983201980591,
+      "epoch": 2.0256835128417565,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00048133710090270446,
+      "loss": 5.5229,
+      "mean_token_accuracy": 0.1542331963777542,
+      "num_tokens": 4455582.0,
+      "step": 2445
+    },
+    {
+      "entropy": 5.815389633178711,
+      "epoch": 2.0298260149130076,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048120946547568596,
+      "loss": 5.5375,
+      "mean_token_accuracy": 0.15604802072048188,
+      "num_tokens": 4464518.0,
+      "step": 2450
+    },
+    {
+      "entropy": 5.927202749252319,
+      "epoch": 2.0339685169842583,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00048108141410164133,
+      "loss": 5.6588,
+      "mean_token_accuracy": 0.14534952044486998,
+      "num_tokens": 4475031.0,
+      "step": 2455
+    },
+    {
+      "entropy": 5.8722837448120115,
+      "epoch": 2.0381110190555094,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004809529470388642,
+      "loss": 5.5396,
+      "mean_token_accuracy": 0.1577153742313385,
+      "num_tokens": 4484609.0,
+      "step": 2460
+    },
+    {
+      "entropy": 5.787671709060669,
+      "epoch": 2.0422535211267605,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004808240645464866,
+      "loss": 5.5698,
+      "mean_token_accuracy": 0.15477177649736404,
+      "num_tokens": 4494238.0,
+      "step": 2465
+    },
+    {
+      "entropy": 5.684235668182373,
+      "epoch": 2.0463960231980116,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004806947668844787,
+      "loss": 5.4573,
+      "mean_token_accuracy": 0.16172746568918228,
+      "num_tokens": 4503258.0,
+      "step": 2470
+    },
+    {
+      "entropy": 5.786364412307739,
+      "epoch": 2.0505385252692627,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048056505431364794,
+      "loss": 5.5091,
+      "mean_token_accuracy": 0.15975141078233718,
+      "num_tokens": 4512071.0,
+      "step": 2475
+    },
+    {
+      "entropy": 5.736668491363526,
+      "epoch": 2.054681027340514,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00048043492709563877,
+      "loss": 5.3461,
+      "mean_token_accuracy": 0.17059434503316878,
+      "num_tokens": 4520219.0,
+      "step": 2480
+    },
+    {
+      "entropy": 5.672813034057617,
+      "epoch": 2.0588235294117645,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048030438549293193,
+      "loss": 5.5568,
+      "mean_token_accuracy": 0.15284566581249237,
+      "num_tokens": 4529386.0,
+      "step": 2485
+    },
+    {
+      "entropy": 5.830966377258301,
+      "epoch": 2.0629660314830156,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00048017342976884424,
+      "loss": 5.5638,
+      "mean_token_accuracy": 0.15199215039610864,
+      "num_tokens": 4538860.0,
+      "step": 2490
+    },
+    {
+      "entropy": 5.761076402664185,
+      "epoch": 2.0671085335542667,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048004206018752773,
+      "loss": 5.5299,
+      "mean_token_accuracy": 0.15335657596588134,
+      "num_tokens": 4547842.0,
+      "step": 2495
+    },
+    {
+      "entropy": 5.733208799362183,
+      "epoch": 2.071251035625518,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047991027701396895,
+      "loss": 5.5026,
+      "mean_token_accuracy": 0.15411428660154342,
+      "num_tokens": 4556238.0,
+      "step": 2500
+    },
+    {
+      "epoch": 2.071251035625518,
+      "eval_entropy": 5.642364594473768,
+      "eval_loss": 6.032641410827637,
+      "eval_mean_token_accuracy": 0.1416530203399882,
+      "eval_num_tokens": 4556238.0,
+      "eval_runtime": 2.7817,
+      "eval_samples_per_second": 1347.034,
+      "eval_steps_per_second": 168.604,
+      "step": 2500
+    },
+    {
+      "entropy": 5.732073068618774,
+      "epoch": 2.075393537696769,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004797780805139892,
+      "loss": 5.5069,
+      "mean_token_accuracy": 0.1587075412273407,
+      "num_tokens": 4565684.0,
+      "step": 2505
+    },
+    {
+      "entropy": 5.722462224960327,
+      "epoch": 2.07953603976802,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004796454709542432,
+      "loss": 5.467,
+      "mean_token_accuracy": 0.1590041533112526,
+      "num_tokens": 4575001.0,
+      "step": 2510
+    },
+    {
+      "entropy": 5.797696113586426,
+      "epoch": 2.083678541839271,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004795124486022189,
+      "loss": 5.5732,
+      "mean_token_accuracy": 0.15362634360790253,
+      "num_tokens": 4584128.0,
+      "step": 2515
+    },
+    {
+      "entropy": 5.711380529403686,
+      "epoch": 2.087821043910522,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047937901372623694,
+      "loss": 5.4191,
+      "mean_token_accuracy": 0.16894411891698838,
+      "num_tokens": 4593011.0,
+      "step": 2520
+    },
+    {
+      "entropy": 5.688450145721435,
+      "epoch": 2.091963545981773,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00047924516659545005,
+      "loss": 5.4668,
+      "mean_token_accuracy": 0.16164053976535797,
+      "num_tokens": 4602676.0,
+      "step": 2525
+    },
+    {
+      "entropy": 5.79151463508606,
+      "epoch": 2.096106048053024,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004791109074798425,
+      "loss": 5.5522,
+      "mean_token_accuracy": 0.15433578938245773,
+      "num_tokens": 4611915.0,
+      "step": 2530
+    },
+    {
+      "entropy": 5.748647403717041,
+      "epoch": 2.100248550124275,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004789762366502296,
+      "loss": 5.5184,
+      "mean_token_accuracy": 0.15959300100803375,
+      "num_tokens": 4621396.0,
+      "step": 2535
+    },
+    {
+      "entropy": 5.7374598503112795,
+      "epoch": 2.1043910521955262,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004788411543782571,
+      "loss": 5.5201,
+      "mean_token_accuracy": 0.1591552659869194,
+      "num_tokens": 4630533.0,
+      "step": 2540
+    },
+    {
+      "entropy": 5.678498649597168,
+      "epoch": 2.108533554266777,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004787056609364008,
+      "loss": 5.4599,
+      "mean_token_accuracy": 0.1542729303240776,
+      "num_tokens": 4639023.0,
+      "step": 2545
+    },
+    {
+      "entropy": 5.711474943161011,
+      "epoch": 2.112676056338028,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004785697565979657,
+      "loss": 5.4732,
+      "mean_token_accuracy": 0.15900285094976424,
+      "num_tokens": 4647975.0,
+      "step": 2550
+    },
+    {
+      "entropy": 5.72883243560791,
+      "epoch": 2.116818558409279,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004784334416370857,
+      "loss": 5.498,
+      "mean_token_accuracy": 0.15594277828931807,
+      "num_tokens": 4657555.0,
+      "step": 2555
+    },
+    {
+      "entropy": 5.745093822479248,
+      "epoch": 2.1209610604805302,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004782967163287231,
+      "loss": 5.4193,
+      "mean_token_accuracy": 0.16100153774023057,
+      "num_tokens": 4667228.0,
+      "step": 2560
+    },
+    {
+      "entropy": 5.716836738586426,
+      "epoch": 2.1251035625517813,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047815958094866756,
+      "loss": 5.4957,
+      "mean_token_accuracy": 0.1513967014849186,
+      "num_tokens": 4676723.0,
+      "step": 2565
+    },
+    {
+      "entropy": 5.7276163578033445,
+      "epoch": 2.1292460646230325,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004780220357735363,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.15479894131422042,
+      "num_tokens": 4686241.0,
+      "step": 2570
+    },
+    {
+      "entropy": 5.764811038970947,
+      "epoch": 2.1333885666942836,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047788408108077294,
+      "loss": 5.5404,
+      "mean_token_accuracy": 0.1561874568462372,
+      "num_tokens": 4695195.0,
+      "step": 2575
+    },
+    {
+      "entropy": 5.739376497268677,
+      "epoch": 2.1375310687655342,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004777457171486471,
+      "loss": 5.5871,
+      "mean_token_accuracy": 0.15551834553480148,
+      "num_tokens": 4704716.0,
+      "step": 2580
+    },
+    {
+      "entropy": 5.769967555999756,
+      "epoch": 2.1416735708367853,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004776069442562541,
+      "loss": 5.5562,
+      "mean_token_accuracy": 0.15339450240135194,
+      "num_tokens": 4713720.0,
+      "step": 2585
+    },
+    {
+      "entropy": 5.733342504501342,
+      "epoch": 2.1458160729080364,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004774677626835138,
+      "loss": 5.5366,
+      "mean_token_accuracy": 0.15301723331212996,
+      "num_tokens": 4722428.0,
+      "step": 2590
+    },
+    {
+      "entropy": 5.787648677825928,
+      "epoch": 2.1499585749792876,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00047732817271117084,
+      "loss": 5.5365,
+      "mean_token_accuracy": 0.15334974452853203,
+      "num_tokens": 4732395.0,
+      "step": 2595
+    },
+    {
+      "entropy": 5.773520803451538,
+      "epoch": 2.1541010770505387,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004771881746207934,
+      "loss": 5.5206,
+      "mean_token_accuracy": 0.15674114525318145,
+      "num_tokens": 4741071.0,
+      "step": 2600
+    },
+    {
+      "entropy": 5.607013797760009,
+      "epoch": 2.1582435791217898,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047704776869477285,
+      "loss": 5.5153,
+      "mean_token_accuracy": 0.15076877027750016,
+      "num_tokens": 4749876.0,
+      "step": 2605
+    },
+    {
+      "entropy": 5.784313154220581,
+      "epoch": 2.1623860811930404,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00047690695521632344,
+      "loss": 5.4669,
+      "mean_token_accuracy": 0.16002854704856873,
+      "num_tokens": 4758721.0,
+      "step": 2610
+    },
+    {
+      "entropy": 5.6919313907623295,
+      "epoch": 2.1665285832642915,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047676573446948114,
+      "loss": 5.4832,
+      "mean_token_accuracy": 0.15925751626491547,
+      "num_tokens": 4767162.0,
+      "step": 2615
+    },
+    {
+      "entropy": 5.71550760269165,
+      "epoch": 2.1706710853355426,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047662410673910376,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.1629578560590744,
+      "num_tokens": 4776397.0,
+      "step": 2620
+    },
+    {
+      "entropy": 5.665811157226562,
+      "epoch": 2.1748135874067938,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047648207231087,
+      "loss": 5.4579,
+      "mean_token_accuracy": 0.15894875824451446,
+      "num_tokens": 4784822.0,
+      "step": 2625
+    },
+    {
+      "entropy": 5.71003270149231,
+      "epoch": 2.178956089478045,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004763396314712786,
+      "loss": 5.5297,
+      "mean_token_accuracy": 0.15831661075353623,
+      "num_tokens": 4794272.0,
+      "step": 2630
+    },
+    {
+      "entropy": 5.64026665687561,
+      "epoch": 2.183098591549296,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004761967845076484,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.15510014593601226,
+      "num_tokens": 4804314.0,
+      "step": 2635
+    },
+    {
+      "entropy": 5.6847330093383786,
+      "epoch": 2.1872410936205466,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004760535317081174,
+      "loss": 5.4694,
+      "mean_token_accuracy": 0.15845878273248673,
+      "num_tokens": 4812685.0,
+      "step": 2640
+    },
+    {
+      "entropy": 5.715235567092895,
+      "epoch": 2.1913835956917977,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047590987336164207,
+      "loss": 5.5532,
+      "mean_token_accuracy": 0.1562129870057106,
+      "num_tokens": 4821761.0,
+      "step": 2645
+    },
+    {
+      "entropy": 5.741413831710815,
+      "epoch": 2.195526097763049,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00047576580975799705,
+      "loss": 5.5307,
+      "mean_token_accuracy": 0.1623195379972458,
+      "num_tokens": 4830515.0,
+      "step": 2650
+    },
+    {
+      "entropy": 5.782008934020996,
+      "epoch": 2.1996685998343,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004756213411877743,
+      "loss": 5.5059,
+      "mean_token_accuracy": 0.14879967421293258,
+      "num_tokens": 4840741.0,
+      "step": 2655
+    },
+    {
+      "entropy": 5.612497425079345,
+      "epoch": 2.203811101905551,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047547646794238277,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.16198884546756745,
+      "num_tokens": 4849571.0,
+      "step": 2660
+    },
+    {
+      "entropy": 5.689143991470337,
+      "epoch": 2.207953603976802,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047533119031404757,
+      "loss": 5.4138,
+      "mean_token_accuracy": 0.1696420982480049,
+      "num_tokens": 4857194.0,
+      "step": 2665
+    },
+    {
+      "entropy": 5.632621717453003,
+      "epoch": 2.212096106048053,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00047518550859580966,
+      "loss": 5.5074,
+      "mean_token_accuracy": 0.1592964008450508,
+      "num_tokens": 4865894.0,
+      "step": 2670
+    },
+    {
+      "entropy": 5.74289755821228,
+      "epoch": 2.216238608119304,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004750394230815249,
+      "loss": 5.5268,
+      "mean_token_accuracy": 0.15829544067382811,
+      "num_tokens": 4875131.0,
+      "step": 2675
+    },
+    {
+      "entropy": 5.670539522171021,
+      "epoch": 2.220381110190555,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047489293406586375,
+      "loss": 5.3777,
+      "mean_token_accuracy": 0.1620385766029358,
+      "num_tokens": 4884098.0,
+      "step": 2680
+    },
+    {
+      "entropy": 5.657269620895386,
+      "epoch": 2.224523612261806,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004747460418443106,
+      "loss": 5.4373,
+      "mean_token_accuracy": 0.15941016003489494,
+      "num_tokens": 4892963.0,
+      "step": 2685
+    },
+    {
+      "entropy": 5.690485191345215,
+      "epoch": 2.2286661143330573,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047459874671316305,
+      "loss": 5.4903,
+      "mean_token_accuracy": 0.15749651044607163,
+      "num_tokens": 4902097.0,
+      "step": 2690
+    },
+    {
+      "entropy": 5.608357000350952,
+      "epoch": 2.2328086164043084,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00047445104896953153,
+      "loss": 5.4015,
+      "mean_token_accuracy": 0.16532779037952422,
+      "num_tokens": 4910469.0,
+      "step": 2695
+    },
+    {
+      "entropy": 5.82715744972229,
+      "epoch": 2.236951118475559,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047430294891133846,
+      "loss": 5.6892,
+      "mean_token_accuracy": 0.1501491665840149,
+      "num_tokens": 4921024.0,
+      "step": 2700
+    },
+    {
+      "entropy": 5.749764776229858,
+      "epoch": 2.24109362054681,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004741544468373179,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15474629402160645,
+      "num_tokens": 4930297.0,
+      "step": 2705
+    },
+    {
+      "entropy": 5.687776947021485,
+      "epoch": 2.2452361226180613,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00047400554304701474,
+      "loss": 5.4692,
+      "mean_token_accuracy": 0.16049361675977708,
+      "num_tokens": 4938971.0,
+      "step": 2710
+    },
+    {
+      "entropy": 5.571053695678711,
+      "epoch": 2.2493786246893124,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047385623784078427,
+      "loss": 5.4899,
+      "mean_token_accuracy": 0.15803302526474,
+      "num_tokens": 4948531.0,
+      "step": 2715
+    },
+    {
+      "entropy": 5.787879133224488,
+      "epoch": 2.2535211267605635,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004737065315197913,
+      "loss": 5.5664,
+      "mean_token_accuracy": 0.1587745025753975,
+      "num_tokens": 4957430.0,
+      "step": 2720
+    },
+    {
+      "entropy": 5.720958280563354,
+      "epoch": 2.2576636288318146,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047355642438600987,
+      "loss": 5.5478,
+      "mean_token_accuracy": 0.16044806241989135,
+      "num_tokens": 4966681.0,
+      "step": 2725
+    },
+    {
+      "entropy": 5.638753175735474,
+      "epoch": 2.2618061309030653,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004734059167422225,
+      "loss": 5.4123,
+      "mean_token_accuracy": 0.1639780133962631,
+      "num_tokens": 4975327.0,
+      "step": 2730
+    },
+    {
+      "entropy": 5.634887552261352,
+      "epoch": 2.2659486329743164,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047325500889201956,
+      "loss": 5.4725,
+      "mean_token_accuracy": 0.16207436099648476,
+      "num_tokens": 4983741.0,
+      "step": 2735
+    },
+    {
+      "entropy": 5.673438644409179,
+      "epoch": 2.2700911350455675,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004731037011397986,
+      "loss": 5.5662,
+      "mean_token_accuracy": 0.15884149968624114,
+      "num_tokens": 4993171.0,
+      "step": 2740
+    },
+    {
+      "entropy": 5.752307653427124,
+      "epoch": 2.2742336371168186,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047295199379076403,
+      "loss": 5.6,
+      "mean_token_accuracy": 0.15322241187095642,
+      "num_tokens": 5002810.0,
+      "step": 2745
+    },
+    {
+      "entropy": 5.7073346138000485,
+      "epoch": 2.2783761391880697,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000472799887150926,
+      "loss": 5.4893,
+      "mean_token_accuracy": 0.15741414427757264,
+      "num_tokens": 5011875.0,
+      "step": 2750
+    },
+    {
+      "entropy": 5.679959297180176,
+      "epoch": 2.282518641259321,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004726473815271003,
+      "loss": 5.5349,
+      "mean_token_accuracy": 0.15855301022529603,
+      "num_tokens": 5020780.0,
+      "step": 2755
+    },
+    {
+      "entropy": 5.669374132156372,
+      "epoch": 2.286661143330572,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047249447722690747,
+      "loss": 5.4331,
+      "mean_token_accuracy": 0.16046710908412934,
+      "num_tokens": 5029896.0,
+      "step": 2760
+    },
+    {
+      "entropy": 5.652454280853272,
+      "epoch": 2.2908036454018226,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047234117455877215,
+      "loss": 5.4932,
+      "mean_token_accuracy": 0.1545606277883053,
+      "num_tokens": 5038956.0,
+      "step": 2765
+    },
+    {
+      "entropy": 5.639697694778443,
+      "epoch": 2.2949461474730737,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004721874738319225,
+      "loss": 5.4594,
+      "mean_token_accuracy": 0.17258906960487366,
+      "num_tokens": 5047005.0,
+      "step": 2770
+    },
+    {
+      "entropy": 5.655842065811157,
+      "epoch": 2.299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004720333753563898,
+      "loss": 5.5008,
+      "mean_token_accuracy": 0.15116662830114364,
+      "num_tokens": 5056475.0,
+      "step": 2775
+    },
+    {
+      "entropy": 5.704644584655762,
+      "epoch": 2.303231151615576,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00047187887944300747,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16439782381057738,
+      "num_tokens": 5064978.0,
+      "step": 2780
+    },
+    {
+      "entropy": 5.726413679122925,
+      "epoch": 2.307373653686827,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004717239864034107,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.15506226867437362,
+      "num_tokens": 5074235.0,
+      "step": 2785
+    },
+    {
+      "entropy": 5.662968683242798,
+      "epoch": 2.3115161557580777,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047156869655003554,
+      "loss": 5.4481,
+      "mean_token_accuracy": 0.16141191571950914,
+      "num_tokens": 5082386.0,
+      "step": 2790
+    },
+    {
+      "entropy": 5.631324100494385,
+      "epoch": 2.315658657829329,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047141301019611875,
+      "loss": 5.4164,
+      "mean_token_accuracy": 0.16636510640382768,
+      "num_tokens": 5090634.0,
+      "step": 2795
+    },
+    {
+      "entropy": 5.818879795074463,
+      "epoch": 2.31980115990058,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004712569276556967,
+      "loss": 5.5906,
+      "mean_token_accuracy": 0.14937217235565187,
+      "num_tokens": 5099003.0,
+      "step": 2800
+    },
+    {
+      "entropy": 5.617757177352905,
+      "epoch": 2.323943661971831,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00047110044924360484,
+      "loss": 5.6681,
+      "mean_token_accuracy": 0.1565680392086506,
+      "num_tokens": 5108631.0,
+      "step": 2805
+    },
+    {
+      "entropy": 5.732515859603882,
+      "epoch": 2.328086164043082,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00047094357527547725,
+      "loss": 5.4545,
+      "mean_token_accuracy": 0.15828853249549865,
+      "num_tokens": 5117309.0,
+      "step": 2810
+    },
+    {
+      "entropy": 5.686485624313354,
+      "epoch": 2.332228666114333,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004707863060677459,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.1627561032772064,
+      "num_tokens": 5126305.0,
+      "step": 2815
+    },
+    {
+      "entropy": 5.821760654449463,
+      "epoch": 2.3363711681855843,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00047062864193764,
+      "loss": 5.6022,
+      "mean_token_accuracy": 0.15580221712589265,
+      "num_tokens": 5135338.0,
+      "step": 2820
+    },
+    {
+      "entropy": 5.676449155807495,
+      "epoch": 2.340513670256835,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047047058320318525,
+      "loss": 5.5298,
+      "mean_token_accuracy": 0.16162888556718827,
+      "num_tokens": 5144518.0,
+      "step": 2825
+    },
+    {
+      "entropy": 5.702890157699585,
+      "epoch": 2.344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004703121301832034,
+      "loss": 5.6262,
+      "mean_token_accuracy": 0.15101130157709122,
+      "num_tokens": 5154102.0,
+      "step": 2830
+    },
+    {
+      "entropy": 5.7891247272491455,
+      "epoch": 2.348798674399337,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047015328319731153,
+      "loss": 5.5642,
+      "mean_token_accuracy": 0.15612353384494781,
+      "num_tokens": 5163719.0,
+      "step": 2835
+    },
+    {
+      "entropy": 5.677855682373047,
+      "epoch": 2.3529411764705883,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004699940425659215,
+      "loss": 5.5247,
+      "mean_token_accuracy": 0.15519936084747316,
+      "num_tokens": 5173192.0,
+      "step": 2840
+    },
+    {
+      "entropy": 5.622324132919312,
+      "epoch": 2.3570836785418394,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00046983440861023877,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.1663823500275612,
+      "num_tokens": 5182438.0,
+      "step": 2845
+    },
+    {
+      "entropy": 5.699106454849243,
+      "epoch": 2.36122618061309,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046967438165226275,
+      "loss": 5.6015,
+      "mean_token_accuracy": 0.15352728664875032,
+      "num_tokens": 5191595.0,
+      "step": 2850
+    },
+    {
+      "entropy": 5.659265756607056,
+      "epoch": 2.365368682684341,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004695139620147851,
+      "loss": 5.4682,
+      "mean_token_accuracy": 0.1643056571483612,
+      "num_tokens": 5200174.0,
+      "step": 2855
+    },
+    {
+      "entropy": 5.713242053985596,
+      "epoch": 2.3695111847555923,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046935315002138994,
+      "loss": 5.5804,
+      "mean_token_accuracy": 0.15417435318231582,
+      "num_tokens": 5210454.0,
+      "step": 2860
+    },
+    {
+      "entropy": 5.727554702758789,
+      "epoch": 2.3736536868268434,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004691919459964525,
+      "loss": 5.5019,
+      "mean_token_accuracy": 0.16056040227413176,
+      "num_tokens": 5219243.0,
+      "step": 2865
+    },
+    {
+      "entropy": 5.5862212657928465,
+      "epoch": 2.3777961888980945,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046903035026513894,
+      "loss": 5.4319,
+      "mean_token_accuracy": 0.1613735228776932,
+      "num_tokens": 5228656.0,
+      "step": 2870
+    },
+    {
+      "entropy": 5.587289905548095,
+      "epoch": 2.3819386909693456,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004688683631534056,
+      "loss": 5.4859,
+      "mean_token_accuracy": 0.156366066634655,
+      "num_tokens": 5237807.0,
+      "step": 2875
+    },
+    {
+      "entropy": 5.775411653518677,
+      "epoch": 2.3860811930405967,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004687059849879981,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.1609719067811966,
+      "num_tokens": 5247432.0,
+      "step": 2880
+    },
+    {
+      "entropy": 5.597807741165161,
+      "epoch": 2.3902236951118474,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00046854321609645093,
+      "loss": 5.4145,
+      "mean_token_accuracy": 0.16111126840114592,
+      "num_tokens": 5256680.0,
+      "step": 2885
+    },
+    {
+      "entropy": 5.6380726337432865,
+      "epoch": 2.3943661971830985,
+      "grad_norm": 2.15625,
+      "learning_rate": 0.00046838005680708677,
+      "loss": 5.5296,
+      "mean_token_accuracy": 0.14821895360946655,
+      "num_tokens": 5266793.0,
+      "step": 2890
+    },
+    {
+      "entropy": 5.710390281677246,
+      "epoch": 2.3985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046821650744901573,
+      "loss": 5.4452,
+      "mean_token_accuracy": 0.15857197493314742,
+      "num_tokens": 5275028.0,
+      "step": 2895
+    },
+    {
+      "entropy": 5.598506593704224,
+      "epoch": 2.4026512013256007,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004680525683521347,
+      "loss": 5.5226,
+      "mean_token_accuracy": 0.1566852644085884,
+      "num_tokens": 5284162.0,
+      "step": 2900
+    },
+    {
+      "entropy": 5.757242631912232,
+      "epoch": 2.406793703396852,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004678882398471269,
+      "loss": 5.5911,
+      "mean_token_accuracy": 0.15474308133125306,
+      "num_tokens": 5293263.0,
+      "step": 2905
+    },
+    {
+      "entropy": 5.654598569869995,
+      "epoch": 2.4109362054681025,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046772352226546066,
+      "loss": 5.477,
+      "mean_token_accuracy": 0.1666618600487709,
+      "num_tokens": 5301373.0,
+      "step": 2910
+    },
+    {
+      "entropy": 5.643638467788696,
+      "epoch": 2.4150787075393536,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004675584159393895,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.15203802064061164,
+      "num_tokens": 5311009.0,
+      "step": 2915
+    },
+    {
+      "entropy": 5.699149656295776,
+      "epoch": 2.4192212096106047,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046739292120195083,
+      "loss": 5.5245,
+      "mean_token_accuracy": 0.16085631400346756,
+      "num_tokens": 5320341.0,
+      "step": 2920
+    },
+    {
+      "entropy": 5.642888498306275,
+      "epoch": 2.423363711681856,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004672270383869657,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1610630214214325,
+      "num_tokens": 5329250.0,
+      "step": 2925
+    },
+    {
+      "entropy": 5.62935357093811,
+      "epoch": 2.427506213753107,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004670607678290379,
+      "loss": 5.4471,
+      "mean_token_accuracy": 0.16571807861328125,
+      "num_tokens": 5336515.0,
+      "step": 2930
+    },
+    {
+      "entropy": 5.655415058135986,
+      "epoch": 2.431648715824358,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004668941098635532,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.1595415398478508,
+      "num_tokens": 5346043.0,
+      "step": 2935
+    },
+    {
+      "entropy": 5.642036104202271,
+      "epoch": 2.435791217895609,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00046672706482667897,
+      "loss": 5.4925,
+      "mean_token_accuracy": 0.15832271426916122,
+      "num_tokens": 5355124.0,
+      "step": 2940
+    },
+    {
+      "entropy": 5.647988367080688,
+      "epoch": 2.43993371996686,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004665596330553633,
+      "loss": 5.5051,
+      "mean_token_accuracy": 0.1597411409020424,
+      "num_tokens": 5364556.0,
+      "step": 2945
+    },
+    {
+      "entropy": 5.67459397315979,
+      "epoch": 2.444076222038111,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046639181488733445,
+      "loss": 5.5316,
+      "mean_token_accuracy": 0.15941161364316941,
+      "num_tokens": 5373778.0,
+      "step": 2950
+    },
+    {
+      "entropy": 5.725692987442017,
+      "epoch": 2.448218724109362,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004662236106610999,
+      "loss": 5.5123,
+      "mean_token_accuracy": 0.15816445648670197,
+      "num_tokens": 5382633.0,
+      "step": 2955
+    },
+    {
+      "entropy": 5.5606146335601805,
+      "epoch": 2.452361226180613,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00046605502071594604,
+      "loss": 5.4163,
+      "mean_token_accuracy": 0.16387673169374467,
+      "num_tokens": 5391442.0,
+      "step": 2960
+    },
+    {
+      "entropy": 5.569208765029908,
+      "epoch": 2.4565037282518642,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004658860453919371,
+      "loss": 5.4388,
+      "mean_token_accuracy": 0.1621423229575157,
+      "num_tokens": 5400504.0,
+      "step": 2965
+    },
+    {
+      "entropy": 5.587312078475952,
+      "epoch": 2.460646230323115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004657166850299149,
+      "loss": 5.4448,
+      "mean_token_accuracy": 0.16361159086227417,
+      "num_tokens": 5408939.0,
+      "step": 2970
+    },
+    {
+      "entropy": 5.629118537902832,
+      "epoch": 2.464788732394366,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004655469399714978,
+      "loss": 5.4722,
+      "mean_token_accuracy": 0.1575179159641266,
+      "num_tokens": 5418934.0,
+      "step": 2975
+    },
+    {
+      "entropy": 5.572103595733642,
+      "epoch": 2.468931234465617,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004653768105590799,
+      "loss": 5.4955,
+      "mean_token_accuracy": 0.16008511185646057,
+      "num_tokens": 5427894.0,
+      "step": 2980
+    },
+    {
+      "entropy": 5.683330011367798,
+      "epoch": 2.4730737365368682,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046520629713583115,
+      "loss": 5.5003,
+      "mean_token_accuracy": 0.1613202139735222,
+      "num_tokens": 5436830.0,
+      "step": 2985
+    },
+    {
+      "entropy": 5.597742080688477,
+      "epoch": 2.4772162386081193,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046503540004569555,
+      "loss": 5.4814,
+      "mean_token_accuracy": 0.16423845291137695,
+      "num_tokens": 5445504.0,
+      "step": 2990
+    },
+    {
+      "entropy": 5.679887342453003,
+      "epoch": 2.4813587406793705,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046486411963339125,
+      "loss": 5.5405,
+      "mean_token_accuracy": 0.15501321628689765,
+      "num_tokens": 5455378.0,
+      "step": 2995
+    },
+    {
+      "entropy": 5.712473011016845,
+      "epoch": 2.4855012427506216,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046469245624440955,
+      "loss": 5.6107,
+      "mean_token_accuracy": 0.1589423656463623,
+      "num_tokens": 5465334.0,
+      "step": 3000
+    },
+    {
+      "epoch": 2.4855012427506216,
+      "eval_entropy": 5.590163738234465,
+      "eval_loss": 5.965892314910889,
+      "eval_mean_token_accuracy": 0.14734836894947329,
+      "eval_num_tokens": 5465334.0,
+      "eval_runtime": 2.7526,
+      "eval_samples_per_second": 1361.234,
+      "eval_steps_per_second": 170.381,
+      "step": 3000
+    },
+    {
+      "entropy": 5.751126146316528,
+      "epoch": 2.4896437448218722,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046452041022501423,
+      "loss": 5.5858,
+      "mean_token_accuracy": 0.15555662512779236,
+      "num_tokens": 5475701.0,
+      "step": 3005
+    },
+    {
+      "entropy": 5.699931526184082,
+      "epoch": 2.4937862468931233,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004643479819222411,
+      "loss": 5.4828,
+      "mean_token_accuracy": 0.16229774355888366,
+      "num_tokens": 5485244.0,
+      "step": 3010
+    },
+    {
+      "entropy": 5.596950387954712,
+      "epoch": 2.4979287489643744,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046417517168389664,
+      "loss": 5.4434,
+      "mean_token_accuracy": 0.1682340309023857,
+      "num_tokens": 5493587.0,
+      "step": 3015
+    },
+    {
+      "entropy": 5.6203169345855715,
+      "epoch": 2.5020712510356256,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004640019798585581,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.15738681554794312,
+      "num_tokens": 5503117.0,
+      "step": 3020
+    },
+    {
+      "entropy": 5.762682390213013,
+      "epoch": 2.5062137531068767,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046382840679557233,
+      "loss": 5.5352,
+      "mean_token_accuracy": 0.16024575680494307,
+      "num_tokens": 5512742.0,
+      "step": 3025
+    },
+    {
+      "entropy": 5.647499704360962,
+      "epoch": 2.5103562551781273,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00046365445284505516,
+      "loss": 5.4968,
+      "mean_token_accuracy": 0.16166605204343795,
+      "num_tokens": 5521862.0,
+      "step": 3030
+    },
+    {
+      "entropy": 5.597900772094727,
+      "epoch": 2.5144987572493784,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.0004634801183578907,
+      "loss": 5.488,
+      "mean_token_accuracy": 0.1608501434326172,
+      "num_tokens": 5531244.0,
+      "step": 3035
+    },
+    {
+      "entropy": 5.655751419067383,
+      "epoch": 2.5186412593206295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046330540368573063,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15176820158958435,
+      "num_tokens": 5540786.0,
+      "step": 3040
+    },
+    {
+      "entropy": 5.7291028022766115,
+      "epoch": 2.5227837613918807,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046313030918099365,
+      "loss": 5.5224,
+      "mean_token_accuracy": 0.1602902241051197,
+      "num_tokens": 5549961.0,
+      "step": 3045
+    },
+    {
+      "entropy": 5.620108366012573,
+      "epoch": 2.5269262634631318,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00046295483519686437,
+      "loss": 5.4591,
+      "mean_token_accuracy": 0.16417455673217773,
+      "num_tokens": 5558941.0,
+      "step": 3050
+    },
+    {
+      "entropy": 5.644694232940674,
+      "epoch": 2.531068765534383,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046277898208729306,
+      "loss": 5.4673,
+      "mean_token_accuracy": 0.16716189235448836,
+      "num_tokens": 5567630.0,
+      "step": 3055
+    },
+    {
+      "entropy": 5.586954879760742,
+      "epoch": 2.535211267605634,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004626027502069947,
+      "loss": 5.4301,
+      "mean_token_accuracy": 0.16521373838186265,
+      "num_tokens": 5576430.0,
+      "step": 3060
+    },
+    {
+      "entropy": 5.650178289413452,
+      "epoch": 2.539353769676885,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046242613991144814,
+      "loss": 5.5444,
+      "mean_token_accuracy": 0.1609214127063751,
+      "num_tokens": 5584785.0,
+      "step": 3065
+    },
+    {
+      "entropy": 5.585511493682861,
+      "epoch": 2.5434962717481358,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046224915155689586,
+      "loss": 5.478,
+      "mean_token_accuracy": 0.16044741719961167,
+      "num_tokens": 5594583.0,
+      "step": 3070
+    },
+    {
+      "entropy": 5.638197040557861,
+      "epoch": 2.547638773819387,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046207178550034244,
+      "loss": 5.4306,
+      "mean_token_accuracy": 0.1608849883079529,
+      "num_tokens": 5603498.0,
+      "step": 3075
+    },
+    {
+      "entropy": 5.7161966323852536,
+      "epoch": 2.551781275890638,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004618940420995547,
+      "loss": 5.5685,
+      "mean_token_accuracy": 0.15440558269619942,
+      "num_tokens": 5613101.0,
+      "step": 3080
+    },
+    {
+      "entropy": 5.665849494934082,
+      "epoch": 2.555923777961889,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004617159217130606,
+      "loss": 5.5409,
+      "mean_token_accuracy": 0.1569191187620163,
+      "num_tokens": 5621821.0,
+      "step": 3085
+    },
+    {
+      "entropy": 5.711861181259155,
+      "epoch": 2.5600662800331397,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004615374247001483,
+      "loss": 5.5738,
+      "mean_token_accuracy": 0.15701586306095122,
+      "num_tokens": 5631006.0,
+      "step": 3090
+    },
+    {
+      "entropy": 5.674423551559448,
+      "epoch": 2.564208782104391,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004613585514208659,
+      "loss": 5.5295,
+      "mean_token_accuracy": 0.15232180580496787,
+      "num_tokens": 5640159.0,
+      "step": 3095
+    },
+    {
+      "entropy": 5.592060613632202,
+      "epoch": 2.568351284175642,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046117930223602016,
+      "loss": 5.4003,
+      "mean_token_accuracy": 0.1694741129875183,
+      "num_tokens": 5648369.0,
+      "step": 3100
+    },
+    {
+      "entropy": 5.5982965469360355,
+      "epoch": 2.572493786246893,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004609996775071765,
+      "loss": 5.459,
+      "mean_token_accuracy": 0.1591326355934143,
+      "num_tokens": 5657669.0,
+      "step": 3105
+    },
+    {
+      "entropy": 5.56780686378479,
+      "epoch": 2.576636288318144,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004608196775966575,
+      "loss": 5.5319,
+      "mean_token_accuracy": 0.1610974356532097,
+      "num_tokens": 5666601.0,
+      "step": 3110
+    },
+    {
+      "entropy": 5.639773225784301,
+      "epoch": 2.5807787903893953,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046063930286754267,
+      "loss": 5.4465,
+      "mean_token_accuracy": 0.16618527621030807,
+      "num_tokens": 5675243.0,
+      "step": 3115
+    },
+    {
+      "entropy": 5.56855001449585,
+      "epoch": 2.5849212924606464,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00046045855368366756,
+      "loss": 5.466,
+      "mean_token_accuracy": 0.1630399063229561,
+      "num_tokens": 5683646.0,
+      "step": 3120
+    },
+    {
+      "entropy": 5.682586193084717,
+      "epoch": 2.5890637945318975,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.000460277430409623,
+      "loss": 5.5129,
+      "mean_token_accuracy": 0.17162407487630843,
+      "num_tokens": 5693069.0,
+      "step": 3125
+    },
+    {
+      "entropy": 5.587219524383545,
+      "epoch": 2.593206296603148,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046009593341075444,
+      "loss": 5.3754,
+      "mean_token_accuracy": 0.16499391198158264,
+      "num_tokens": 5701527.0,
+      "step": 3130
+    },
+    {
+      "entropy": 5.561956834793091,
+      "epoch": 2.5973487986743993,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004599140630531612,
+      "loss": 5.5403,
+      "mean_token_accuracy": 0.15682477951049806,
+      "num_tokens": 5710379.0,
+      "step": 3135
+    },
+    {
+      "entropy": 5.69692587852478,
+      "epoch": 2.6014913007456504,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004597318197036956,
+      "loss": 5.4524,
+      "mean_token_accuracy": 0.1643553927540779,
+      "num_tokens": 5719217.0,
+      "step": 3140
+    },
+    {
+      "entropy": 5.629226970672607,
+      "epoch": 2.6056338028169015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004595492037299624,
+      "loss": 5.5535,
+      "mean_token_accuracy": 0.16214104294776915,
+      "num_tokens": 5728331.0,
+      "step": 3145
+    },
+    {
+      "entropy": 5.608061027526856,
+      "epoch": 2.6097763048881526,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045936621550031806,
+      "loss": 5.5107,
+      "mean_token_accuracy": 0.16073764860630035,
+      "num_tokens": 5737696.0,
+      "step": 3150
+    },
+    {
+      "entropy": 5.731885099411011,
+      "epoch": 2.6139188069594033,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045918285538386973,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.16164542436599733,
+      "num_tokens": 5746191.0,
+      "step": 3155
+    },
+    {
+      "entropy": 5.703127813339234,
+      "epoch": 2.6180613090306544,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00045899912375047485,
+      "loss": 5.5619,
+      "mean_token_accuracy": 0.1629435494542122,
+      "num_tokens": 5754824.0,
+      "step": 3160
+    },
+    {
+      "entropy": 5.638229656219482,
+      "epoch": 2.6222038111019055,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045881502097074023,
+      "loss": 5.537,
+      "mean_token_accuracy": 0.1518124133348465,
+      "num_tokens": 5764863.0,
+      "step": 3165
+    },
+    {
+      "entropy": 5.614318180084228,
+      "epoch": 2.6263463131731566,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004586305474160212,
+      "loss": 5.5459,
+      "mean_token_accuracy": 0.15642993301153182,
+      "num_tokens": 5774273.0,
+      "step": 3170
+    },
+    {
+      "entropy": 5.666326427459717,
+      "epoch": 2.6304888152444077,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045844570345842116,
+      "loss": 5.5044,
+      "mean_token_accuracy": 0.16042826995253562,
+      "num_tokens": 5784085.0,
+      "step": 3175
+    },
+    {
+      "entropy": 5.659371709823608,
+      "epoch": 2.634631317315659,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004582604894707906,
+      "loss": 5.5336,
+      "mean_token_accuracy": 0.16884370446205138,
+      "num_tokens": 5793921.0,
+      "step": 3180
+    },
+    {
+      "entropy": 5.664378356933594,
+      "epoch": 2.63877381938691,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00045807490582672634,
+      "loss": 5.4972,
+      "mean_token_accuracy": 0.15294444859027861,
+      "num_tokens": 5803902.0,
+      "step": 3185
+    },
+    {
+      "entropy": 5.542481708526611,
+      "epoch": 2.6429163214581606,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00045788895290057083,
+      "loss": 5.4129,
+      "mean_token_accuracy": 0.16788192689418793,
+      "num_tokens": 5812089.0,
+      "step": 3190
+    },
+    {
+      "entropy": 5.6802209377288815,
+      "epoch": 2.6470588235294117,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00045770263106741137,
+      "loss": 5.5784,
+      "mean_token_accuracy": 0.1578851893544197,
+      "num_tokens": 5821072.0,
+      "step": 3195
+    },
+    {
+      "entropy": 5.628516340255738,
+      "epoch": 2.651201325600663,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004575159407030797,
+      "loss": 5.4029,
+      "mean_token_accuracy": 0.16388181746006011,
+      "num_tokens": 5829725.0,
+      "step": 3200
+    },
+    {
+      "entropy": 5.500157403945923,
+      "epoch": 2.655343827671914,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004573288821841505,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16496249735355378,
+      "num_tokens": 5838153.0,
+      "step": 3205
+    },
+    {
+      "entropy": 5.616616106033325,
+      "epoch": 2.659486329743165,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004571414558879413,
+      "loss": 5.4409,
+      "mean_token_accuracy": 0.15448423773050307,
+      "num_tokens": 5847270.0,
+      "step": 3210
+    },
+    {
+      "entropy": 5.6490891456604,
+      "epoch": 2.6636288318144157,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004569536621925114,
+      "loss": 5.5472,
+      "mean_token_accuracy": 0.15474478006362916,
+      "num_tokens": 5855954.0,
+      "step": 3215
+    },
+    {
+      "entropy": 5.634416961669922,
+      "epoch": 2.667771333885667,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004567655014766612,
+      "loss": 5.4529,
+      "mean_token_accuracy": 0.16163208782672883,
+      "num_tokens": 5864435.0,
+      "step": 3220
+    },
+    {
+      "entropy": 5.624909925460815,
+      "epoch": 2.671913835956918,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004565769741199314,
+      "loss": 5.5135,
+      "mean_token_accuracy": 0.1572384186089039,
+      "num_tokens": 5873964.0,
+      "step": 3225
+    },
+    {
+      "entropy": 5.727962255477905,
+      "epoch": 2.676056338028169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045638808050260237,
+      "loss": 5.4648,
+      "mean_token_accuracy": 0.16628578454256057,
+      "num_tokens": 5882738.0,
+      "step": 3230
+    },
+    {
+      "entropy": 5.587652635574341,
+      "epoch": 2.68019884009942,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00045619882100569317,
+      "loss": 5.5925,
+      "mean_token_accuracy": 0.15854242593050002,
+      "num_tokens": 5891749.0,
+      "step": 3235
+    },
+    {
+      "entropy": 5.627515649795532,
+      "epoch": 2.684341342170671,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004560091960109608,
+      "loss": 5.5372,
+      "mean_token_accuracy": 0.15811603218317033,
+      "num_tokens": 5900551.0,
+      "step": 3240
+    },
+    {
+      "entropy": 5.661735343933105,
+      "epoch": 2.6884838442419223,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004558192059008996,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.1517203629016876,
+      "num_tokens": 5909254.0,
+      "step": 3245
+    },
+    {
+      "entropy": 5.599635648727417,
+      "epoch": 2.692626346313173,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004556288510587406,
+      "loss": 5.4987,
+      "mean_token_accuracy": 0.15817683488130568,
+      "num_tokens": 5918357.0,
+      "step": 3250
+    },
+    {
+      "entropy": 5.662895679473877,
+      "epoch": 2.696768848384424,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00045543813186845004,
+      "loss": 5.5021,
+      "mean_token_accuracy": 0.15579704195261002,
+      "num_tokens": 5927742.0,
+      "step": 3255
+    },
+    {
+      "entropy": 5.627440690994263,
+      "epoch": 2.700911350455675,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004552470487147294,
+      "loss": 5.5823,
+      "mean_token_accuracy": 0.1556493915617466,
+      "num_tokens": 5937025.0,
+      "step": 3260
+    },
+    {
+      "entropy": 5.70678014755249,
+      "epoch": 2.7050538525269263,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045505560198301443,
+      "loss": 5.5615,
+      "mean_token_accuracy": 0.15135139375925064,
+      "num_tokens": 5946176.0,
+      "step": 3265
+    },
+    {
+      "entropy": 5.659924745559692,
+      "epoch": 2.7091963545981774,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045486379205947396,
+      "loss": 5.5233,
+      "mean_token_accuracy": 0.1584411159157753,
+      "num_tokens": 5955550.0,
+      "step": 3270
+    },
+    {
+      "entropy": 5.594695281982422,
+      "epoch": 2.713338856669428,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004546716193310098,
+      "loss": 5.4541,
+      "mean_token_accuracy": 0.1651945412158966,
+      "num_tokens": 5964467.0,
+      "step": 3275
+    },
+    {
+      "entropy": 5.605531787872314,
+      "epoch": 2.717481358740679,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000454479084185255,
+      "loss": 5.4855,
+      "mean_token_accuracy": 0.1514287754893303,
+      "num_tokens": 5973906.0,
+      "step": 3280
+    },
+    {
+      "entropy": 5.696796035766601,
+      "epoch": 2.7216238608119303,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004542861870105743,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.15694239139556884,
+      "num_tokens": 5983701.0,
+      "step": 3285
+    },
+    {
+      "entropy": 5.623150444030761,
+      "epoch": 2.7257663628831814,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045409292819606224,
+      "loss": 5.4971,
+      "mean_token_accuracy": 0.16068210303783417,
+      "num_tokens": 5993367.0,
+      "step": 3290
+    },
+    {
+      "entropy": 5.646857404708863,
+      "epoch": 2.7299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045389930813154297,
+      "loss": 5.4519,
+      "mean_token_accuracy": 0.16334805637598038,
+      "num_tokens": 6003752.0,
+      "step": 3295
+    },
+    {
+      "entropy": 5.675233459472656,
+      "epoch": 2.7340513670256836,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004537053272075693,
+      "loss": 5.5263,
+      "mean_token_accuracy": 0.1621565416455269,
+      "num_tokens": 6012486.0,
+      "step": 3300
+    },
+    {
+      "entropy": 5.5136041164398195,
+      "epoch": 2.7381938690969347,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045351098581542204,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.163838130235672,
+      "num_tokens": 6020742.0,
+      "step": 3305
+    },
+    {
+      "entropy": 5.646917295455933,
+      "epoch": 2.742336371168186,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004533162843471089,
+      "loss": 5.5009,
+      "mean_token_accuracy": 0.15474170595407485,
+      "num_tokens": 6030248.0,
+      "step": 3310
+    },
+    {
+      "entropy": 5.632185411453247,
+      "epoch": 2.7464788732394365,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004531212231953641,
+      "loss": 5.5436,
+      "mean_token_accuracy": 0.15157791674137117,
+      "num_tokens": 6039293.0,
+      "step": 3315
+    },
+    {
+      "entropy": 5.587828540802002,
+      "epoch": 2.7506213753106876,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004529258027536473,
+      "loss": 5.4134,
+      "mean_token_accuracy": 0.16378402560949326,
+      "num_tokens": 6048081.0,
+      "step": 3320
+    },
+    {
+      "entropy": 5.673684549331665,
+      "epoch": 2.7547638773819387,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004527300234161428,
+      "loss": 5.5753,
+      "mean_token_accuracy": 0.15969255268573762,
+      "num_tokens": 6057549.0,
+      "step": 3325
+    },
+    {
+      "entropy": 5.646554040908813,
+      "epoch": 2.75890637945319,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004525338855777591,
+      "loss": 5.5589,
+      "mean_token_accuracy": 0.15469738617539405,
+      "num_tokens": 6067372.0,
+      "step": 3330
+    },
+    {
+      "entropy": 5.595069122314453,
+      "epoch": 2.7630488815244405,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045233738963412746,
+      "loss": 5.4181,
+      "mean_token_accuracy": 0.1717814713716507,
+      "num_tokens": 6075532.0,
+      "step": 3335
+    },
+    {
+      "entropy": 5.5924467086792,
+      "epoch": 2.7671913835956916,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045214053598160173,
+      "loss": 5.4439,
+      "mean_token_accuracy": 0.16404369622468948,
+      "num_tokens": 6084389.0,
+      "step": 3340
+    },
+    {
+      "entropy": 5.598109579086303,
+      "epoch": 2.7713338856669427,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045194332501725725,
+      "loss": 5.4706,
+      "mean_token_accuracy": 0.16428767740726472,
+      "num_tokens": 6093536.0,
+      "step": 3345
+    },
+    {
+      "entropy": 5.637304496765137,
+      "epoch": 2.775476387738194,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00045174575713889014,
+      "loss": 5.5167,
+      "mean_token_accuracy": 0.16573925465345382,
+      "num_tokens": 6102677.0,
+      "step": 3350
+    },
+    {
+      "entropy": 5.677533674240112,
+      "epoch": 2.779618889809445,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004515478327450164,
+      "loss": 5.5926,
+      "mean_token_accuracy": 0.156404609978199,
+      "num_tokens": 6112430.0,
+      "step": 3355
+    },
+    {
+      "entropy": 5.643227863311767,
+      "epoch": 2.783761391880696,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00045134955223487093,
+      "loss": 5.4889,
+      "mean_token_accuracy": 0.16630716919898986,
+      "num_tokens": 6121408.0,
+      "step": 3360
+    },
+    {
+      "entropy": 5.57972674369812,
+      "epoch": 2.787903893951947,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00045115091600840757,
+      "loss": 5.5188,
+      "mean_token_accuracy": 0.15800442099571227,
+      "num_tokens": 6131339.0,
+      "step": 3365
+    },
+    {
+      "entropy": 5.624274778366089,
+      "epoch": 2.7920463960231983,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00045095192446629697,
+      "loss": 5.4816,
+      "mean_token_accuracy": 0.16174803227186202,
+      "num_tokens": 6140590.0,
+      "step": 3370
+    },
+    {
+      "entropy": 5.704814815521241,
+      "epoch": 2.796188898094449,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000450752578009927,
+      "loss": 5.5621,
+      "mean_token_accuracy": 0.1653067871928215,
+      "num_tokens": 6149958.0,
+      "step": 3375
+    },
+    {
+      "entropy": 5.58657054901123,
+      "epoch": 2.8003314001657,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045055287704140115,
+      "loss": 5.4346,
+      "mean_token_accuracy": 0.15949429720640182,
+      "num_tokens": 6159411.0,
+      "step": 3380
+    },
+    {
+      "entropy": 5.595387983322143,
+      "epoch": 2.804473902236951,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004503528219635381,
+      "loss": 5.5138,
+      "mean_token_accuracy": 0.1545591250061989,
+      "num_tokens": 6169264.0,
+      "step": 3385
+    },
+    {
+      "entropy": 5.617677021026611,
+      "epoch": 2.8086164043082023,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004501524131798709,
+      "loss": 5.4826,
+      "mean_token_accuracy": 0.16332829892635345,
+      "num_tokens": 6178374.0,
+      "step": 3390
+    },
+    {
+      "entropy": 5.7183191776275635,
+      "epoch": 2.812758906379453,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000449951651094646,
+      "loss": 5.4697,
+      "mean_token_accuracy": 0.15537519603967667,
+      "num_tokens": 6186918.0,
+      "step": 3395
+    },
+    {
+      "entropy": 5.566522169113159,
+      "epoch": 2.816901408450704,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044975053611282217,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.1613329365849495,
+      "num_tokens": 6196400.0,
+      "step": 3400
+    },
+    {
+      "entropy": 5.514105558395386,
+      "epoch": 2.821043910521955,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004495490686400706,
+      "loss": 5.3941,
+      "mean_token_accuracy": 0.1649619847536087,
+      "num_tokens": 6204849.0,
+      "step": 3405
+    },
+    {
+      "entropy": 5.615210485458374,
+      "epoch": 2.8251864125932062,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00044934724908277313,
+      "loss": 5.4834,
+      "mean_token_accuracy": 0.16362717300653457,
+      "num_tokens": 6214121.0,
+      "step": 3410
+    },
+    {
+      "entropy": 5.654720067977905,
+      "epoch": 2.8293289146644574,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044914507784802184,
+      "loss": 5.4835,
+      "mean_token_accuracy": 0.16509974151849746,
+      "num_tokens": 6223163.0,
+      "step": 3415
+    },
+    {
+      "entropy": 5.641624307632446,
+      "epoch": 2.8334714167357085,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004489425553436182,
+      "loss": 5.5084,
+      "mean_token_accuracy": 0.15882937759160995,
+      "num_tokens": 6231581.0,
+      "step": 3420
+    },
+    {
+      "entropy": 5.659383153915405,
+      "epoch": 2.8376139188069596,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00044873968197807213,
+      "loss": 5.5838,
+      "mean_token_accuracy": 0.1599879801273346,
+      "num_tokens": 6240015.0,
+      "step": 3425
+    },
+    {
+      "entropy": 5.666435050964355,
+      "epoch": 2.8417564208782107,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044853645816060156,
+      "loss": 5.5979,
+      "mean_token_accuracy": 0.1532062940299511,
+      "num_tokens": 6249083.0,
+      "step": 3430
+    },
+    {
+      "entropy": 5.6627098560333256,
+      "epoch": 2.8458989229494613,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00044833288430113104,
+      "loss": 5.5496,
+      "mean_token_accuracy": 0.1654196172952652,
+      "num_tokens": 6258798.0,
+      "step": 3435
+    },
+    {
+      "entropy": 5.609176588058472,
+      "epoch": 2.8500414250207124,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00044812896081029136,
+      "loss": 5.4023,
+      "mean_token_accuracy": 0.16617698073387147,
+      "num_tokens": 6267819.0,
+      "step": 3440
+    },
+    {
+      "entropy": 5.626215600967408,
+      "epoch": 2.8541839270919636,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004479246880994183,
+      "loss": 5.4804,
+      "mean_token_accuracy": 0.15876610353589057,
+      "num_tokens": 6276915.0,
+      "step": 3445
+    },
+    {
+      "entropy": 5.627827167510986,
+      "epoch": 2.8583264291632147,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004477200665805525,
+      "loss": 5.5216,
+      "mean_token_accuracy": 0.15861138105392455,
+      "num_tokens": 6285880.0,
+      "step": 3450
+    },
+    {
+      "entropy": 5.6323963642120365,
+      "epoch": 2.8624689312344658,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00044751509666643777,
+      "loss": 5.6351,
+      "mean_token_accuracy": 0.14970673844218255,
+      "num_tokens": 6295408.0,
+      "step": 3455
+    },
+    {
+      "entropy": 5.6166990280151365,
+      "epoch": 2.8666114333057164,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044730977877052084,
+      "loss": 5.3753,
+      "mean_token_accuracy": 0.16562075018882752,
+      "num_tokens": 6304110.0,
+      "step": 3460
+    },
+    {
+      "entropy": 5.669659185409546,
+      "epoch": 2.8707539353769675,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00044710411330695045,
+      "loss": 5.5254,
+      "mean_token_accuracy": 0.15842530727386475,
+      "num_tokens": 6312577.0,
+      "step": 3465
+    },
+    {
+      "entropy": 5.738371801376343,
+      "epoch": 2.8748964374482187,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00044689810069057615,
+      "loss": 5.606,
+      "mean_token_accuracy": 0.15023296922445298,
+      "num_tokens": 6321766.0,
+      "step": 3470
+    },
+    {
+      "entropy": 5.642851161956787,
+      "epoch": 2.8790389395194698,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004466917413369479,
+      "loss": 5.5731,
+      "mean_token_accuracy": 0.151870658993721,
+      "num_tokens": 6330327.0,
+      "step": 3475
+    },
+    {
+      "entropy": 5.577242517471314,
+      "epoch": 2.883181441590721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004464850356623152,
+      "loss": 5.4926,
+      "mean_token_accuracy": 0.16011006087064744,
+      "num_tokens": 6339596.0,
+      "step": 3480
+    },
+    {
+      "entropy": 5.613158226013184,
+      "epoch": 2.887323943661972,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00044627798408362597,
+      "loss": 5.3986,
+      "mean_token_accuracy": 0.1670537531375885,
+      "num_tokens": 6348080.0,
+      "step": 3485
+    },
+    {
+      "entropy": 5.613135099411011,
+      "epoch": 2.891466445733223,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004460705870185258,
+      "loss": 5.5277,
+      "mean_token_accuracy": 0.15435466170310974,
+      "num_tokens": 6357725.0,
+      "step": 3490
+    },
+    {
+      "entropy": 5.627930736541748,
+      "epoch": 2.8956089478044738,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004458628448853572,
+      "loss": 5.4831,
+      "mean_token_accuracy": 0.16073092967271804,
+      "num_tokens": 6366821.0,
+      "step": 3495
+    },
+    {
+      "entropy": 5.729347085952758,
+      "epoch": 2.899751449875725,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004456547581031589,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.15560299083590506,
+      "num_tokens": 6375641.0,
+      "step": 3500
+    },
+    {
+      "epoch": 2.899751449875725,
+      "eval_entropy": 5.414937326394673,
+      "eval_loss": 5.899942874908447,
+      "eval_mean_token_accuracy": 0.15183768343569629,
+      "eval_num_tokens": 6375641.0,
+      "eval_runtime": 2.9583,
+      "eval_samples_per_second": 1266.605,
+      "eval_steps_per_second": 158.537,
+      "step": 3500
+    },
+    {
+      "entropy": 5.548971128463745,
+      "epoch": 2.903893951946976,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004454463270916646,
+      "loss": 5.404,
+      "mean_token_accuracy": 0.1680065542459488,
+      "num_tokens": 6384596.0,
+      "step": 3505
+    },
+    {
+      "entropy": 5.719941425323486,
+      "epoch": 2.908036454018227,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004452375522713023,
+      "loss": 5.7474,
+      "mean_token_accuracy": 0.14030246064066887,
+      "num_tokens": 6395048.0,
+      "step": 3510
+    },
+    {
+      "entropy": 5.643452119827271,
+      "epoch": 2.912178956089478,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004450284340631938,
+      "loss": 5.5762,
+      "mean_token_accuracy": 0.15520212948322296,
+      "num_tokens": 6404828.0,
+      "step": 3515
+    },
+    {
+      "entropy": 5.627139854431152,
+      "epoch": 2.916321458160729,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044481897288915334,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.16042221039533616,
+      "num_tokens": 6414670.0,
+      "step": 3520
+    },
+    {
+      "entropy": 5.474701166152954,
+      "epoch": 2.92046396023198,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044460916917168697,
+      "loss": 5.3896,
+      "mean_token_accuracy": 0.16453512459993364,
+      "num_tokens": 6423446.0,
+      "step": 3525
+    },
+    {
+      "entropy": 5.5396312236785885,
+      "epoch": 2.924606462303231,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004443990233339918,
+      "loss": 5.4655,
+      "mean_token_accuracy": 0.1552535504102707,
+      "num_tokens": 6433412.0,
+      "step": 3530
+    },
+    {
+      "entropy": 5.652051544189453,
+      "epoch": 2.928748964374482,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004441885357999548,
+      "loss": 5.444,
+      "mean_token_accuracy": 0.1643453508615494,
+      "num_tokens": 6443520.0,
+      "step": 3535
+    },
+    {
+      "entropy": 5.674185514450073,
+      "epoch": 2.9328914664457333,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004439777069941524,
+      "loss": 5.5527,
+      "mean_token_accuracy": 0.15431721061468123,
+      "num_tokens": 6452933.0,
+      "step": 3540
+    },
+    {
+      "entropy": 5.550513553619385,
+      "epoch": 2.9370339685169844,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044376653734184935,
+      "loss": 5.3908,
+      "mean_token_accuracy": 0.16788479536771775,
+      "num_tokens": 6462113.0,
+      "step": 3545
+    },
+    {
+      "entropy": 5.468146800994873,
+      "epoch": 2.9411764705882355,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004435550272689979,
+      "loss": 5.4246,
+      "mean_token_accuracy": 0.16583772748708725,
+      "num_tokens": 6471411.0,
+      "step": 3550
+    },
+    {
+      "entropy": 5.662385082244873,
+      "epoch": 2.945318972659486,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00044334317720223706,
+      "loss": 5.532,
+      "mean_token_accuracy": 0.1599032275378704,
+      "num_tokens": 6480682.0,
+      "step": 3555
+    },
+    {
+      "entropy": 5.678339672088623,
+      "epoch": 2.9494614747307373,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00044313098756889154,
+      "loss": 5.5754,
+      "mean_token_accuracy": 0.15587076246738435,
+      "num_tokens": 6490614.0,
+      "step": 3560
+    },
+    {
+      "entropy": 5.585533094406128,
+      "epoch": 2.9536039768019884,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004429184587969708,
+      "loss": 5.4273,
+      "mean_token_accuracy": 0.16405707746744155,
+      "num_tokens": 6499079.0,
+      "step": 3565
+    },
+    {
+      "entropy": 5.668995666503906,
+      "epoch": 2.9577464788732395,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004427055913151689,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.14727827310562133,
+      "num_tokens": 6508556.0,
+      "step": 3570
+    },
+    {
+      "entropy": 5.70610499382019,
+      "epoch": 2.9618889809444906,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004424923855528626,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.15901169627904893,
+      "num_tokens": 6517934.0,
+      "step": 3575
+    },
+    {
+      "entropy": 5.614701509475708,
+      "epoch": 2.9660314830157413,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004422788419401114,
+      "loss": 5.4321,
+      "mean_token_accuracy": 0.1702651560306549,
+      "num_tokens": 6526995.0,
+      "step": 3580
+    },
+    {
+      "entropy": 5.572284936904907,
+      "epoch": 2.9701739850869924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00044206496090765595,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1573972523212433,
+      "num_tokens": 6535264.0,
+      "step": 3585
+    },
+    {
+      "entropy": 5.610080623626709,
+      "epoch": 2.9743164871582435,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00044185074288691776,
+      "loss": 5.3994,
+      "mean_token_accuracy": 0.1746336281299591,
+      "num_tokens": 6544498.0,
+      "step": 3590
+    },
+    {
+      "entropy": 5.582769393920898,
+      "epoch": 2.9784589892294946,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044163618830999794,
+      "loss": 5.5098,
+      "mean_token_accuracy": 0.16030704230070114,
+      "num_tokens": 6554761.0,
+      "step": 3595
+    },
+    {
+      "entropy": 5.603819417953491,
+      "epoch": 2.9826014913007457,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044142129760967643,
+      "loss": 5.5614,
+      "mean_token_accuracy": 0.15714355707168579,
+      "num_tokens": 6564039.0,
+      "step": 3600
+    },
+    {
+      "entropy": 5.679829835891724,
+      "epoch": 2.986743993371997,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004412060712194115,
+      "loss": 5.5068,
+      "mean_token_accuracy": 0.15993095487356185,
+      "num_tokens": 6572559.0,
+      "step": 3605
+    },
+    {
+      "entropy": 5.589264869689941,
+      "epoch": 2.990886495443248,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004409905095733381,
+      "loss": 5.4931,
+      "mean_token_accuracy": 0.1612076446413994,
+      "num_tokens": 6581621.0,
+      "step": 3610
+    },
+    {
+      "entropy": 5.550649166107178,
+      "epoch": 2.995028997514499,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00044077461310626764,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.15403861105442046,
+      "num_tokens": 6590353.0,
+      "step": 3615
+    },
+    {
+      "entropy": 5.64892258644104,
+      "epoch": 2.9991714995857497,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000440558382253687,
+      "loss": 5.4575,
+      "mean_token_accuracy": 0.16497674435377122,
+      "num_tokens": 6598822.0,
+      "step": 3620
+    },
+    {
+      "entropy": 5.5967165470123295,
+      "epoch": 3.003314001657001,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004403418174517573,
+      "loss": 5.2529,
+      "mean_token_accuracy": 0.16683556884527206,
+      "num_tokens": 6606728.0,
+      "step": 3625
+    },
+    {
+      "entropy": 5.599476623535156,
+      "epoch": 3.007456503728252,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044012491913731353,
+      "loss": 5.1756,
+      "mean_token_accuracy": 0.1743481546640396,
+      "num_tokens": 6616226.0,
+      "step": 3630
+    },
+    {
+      "entropy": 5.5095573425292965,
+      "epoch": 3.011599005799503,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004399076877478632,
+      "loss": 5.0266,
+      "mean_token_accuracy": 0.1868550017476082,
+      "num_tokens": 6624801.0,
+      "step": 3635
+    },
+    {
+      "entropy": 5.60879430770874,
+      "epoch": 3.015741507870754,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004396901237215858,
+      "loss": 5.2209,
+      "mean_token_accuracy": 0.16688485741615294,
+      "num_tokens": 6633043.0,
+      "step": 3640
+    },
+    {
+      "entropy": 5.538025426864624,
+      "epoch": 3.019884009942005,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043947222749733173,
+      "loss": 5.1692,
+      "mean_token_accuracy": 0.17499702274799347,
+      "num_tokens": 6641197.0,
+      "step": 3645
+    },
+    {
+      "entropy": 5.586767101287842,
+      "epoch": 3.024026512013256,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043925399951462153,
+      "loss": 5.2064,
+      "mean_token_accuracy": 0.1801098555326462,
+      "num_tokens": 6650411.0,
+      "step": 3650
+    },
+    {
+      "entropy": 5.4191618919372555,
+      "epoch": 3.028169014084507,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004390354402136449,
+      "loss": 5.0903,
+      "mean_token_accuracy": 0.17804521024227143,
+      "num_tokens": 6659405.0,
+      "step": 3655
+    },
+    {
+      "entropy": 5.583788824081421,
+      "epoch": 3.032311516155758,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0004388165500352597,
+      "loss": 5.1642,
+      "mean_token_accuracy": 0.17557908743619918,
+      "num_tokens": 6667701.0,
+      "step": 3660
+    },
+    {
+      "entropy": 5.614604902267456,
+      "epoch": 3.036454018227009,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004385973294209915,
+      "loss": 5.1881,
+      "mean_token_accuracy": 0.17808027267456056,
+      "num_tokens": 6676801.0,
+      "step": 3665
+    },
+    {
+      "entropy": 5.457578706741333,
+      "epoch": 3.0405965202982603,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004383777788130321,
+      "loss": 5.083,
+      "mean_token_accuracy": 0.17836775481700898,
+      "num_tokens": 6686005.0,
+      "step": 3670
+    },
+    {
+      "entropy": 5.479088068008423,
+      "epoch": 3.044739022369511,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004381578986542393,
+      "loss": 5.0937,
+      "mean_token_accuracy": 0.17960153371095658,
+      "num_tokens": 6694884.0,
+      "step": 3675
+    },
+    {
+      "entropy": 5.501745700836182,
+      "epoch": 3.048881524440762,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004379376893881352,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.17827630788087845,
+      "num_tokens": 6703476.0,
+      "step": 3680
+    },
+    {
+      "entropy": 5.616245269775391,
+      "epoch": 3.053024026512013,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004377171514589059,
+      "loss": 5.2531,
+      "mean_token_accuracy": 0.1736731931567192,
+      "num_tokens": 6712576.0,
+      "step": 3685
+    },
+    {
+      "entropy": 5.398316955566406,
+      "epoch": 3.0571665285832643,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004374962853114007,
+      "loss": 5.0545,
+      "mean_token_accuracy": 0.18062082678079605,
+      "num_tokens": 6721532.0,
+      "step": 3690
+    },
+    {
+      "entropy": 5.480774354934693,
+      "epoch": 3.0613090306545154,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004372750913911306,
+      "loss": 5.1028,
+      "mean_token_accuracy": 0.18300070911645888,
+      "num_tokens": 6730055.0,
+      "step": 3695
+    },
+    {
+      "entropy": 5.446919918060303,
+      "epoch": 3.0654515327257665,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004370535701442679,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.17969694286584853,
+      "num_tokens": 6739310.0,
+      "step": 3700
+    },
+    {
+      "entropy": 5.54828953742981,
+      "epoch": 3.069594034797017,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043683172201764537,
+      "loss": 5.2581,
+      "mean_token_accuracy": 0.16716694980859756,
+      "num_tokens": 6748976.0,
+      "step": 3705
+    },
+    {
+      "entropy": 5.539231872558593,
+      "epoch": 3.0737365368682683,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004366095474587547,
+      "loss": 5.1044,
+      "mean_token_accuracy": 0.17598106861114501,
+      "num_tokens": 6758043.0,
+      "step": 3710
+    },
+    {
+      "entropy": 5.500854778289795,
+      "epoch": 3.0778790389395194,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00043638704691574646,
+      "loss": 5.163,
+      "mean_token_accuracy": 0.1786232903599739,
+      "num_tokens": 6767554.0,
+      "step": 3715
+    },
+    {
+      "entropy": 5.560473966598511,
+      "epoch": 3.0820215410107705,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004361642208374283,
+      "loss": 5.1882,
+      "mean_token_accuracy": 0.1666739672422409,
+      "num_tokens": 6776161.0,
+      "step": 3720
+    },
+    {
+      "entropy": 5.476630401611328,
+      "epoch": 3.0861640430820216,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043594106967326495,
+      "loss": 5.1169,
+      "mean_token_accuracy": 0.17555084377527236,
+      "num_tokens": 6785371.0,
+      "step": 3725
+    },
+    {
+      "entropy": 5.494755983352661,
+      "epoch": 3.0903065451532727,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00043571759387337665,
+      "loss": 5.1456,
+      "mean_token_accuracy": 0.1808715656399727,
+      "num_tokens": 6795242.0,
+      "step": 3730
+    },
+    {
+      "entropy": 5.591760492324829,
+      "epoch": 3.0944490472245234,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004354937938885385,
+      "loss": 5.2235,
+      "mean_token_accuracy": 0.17338325083255768,
+      "num_tokens": 6805423.0,
+      "step": 3735
+    },
+    {
+      "entropy": 5.464981889724731,
+      "epoch": 3.0985915492957745,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004352696701701796,
+      "loss": 5.1469,
+      "mean_token_accuracy": 0.17880967408418655,
+      "num_tokens": 6814377.0,
+      "step": 3740
+    },
+    {
+      "entropy": 5.448660278320313,
+      "epoch": 3.1027340513670256,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004350452231703819,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.18132367432117463,
+      "num_tokens": 6824025.0,
+      "step": 3745
+    },
+    {
+      "entropy": 5.550149536132812,
+      "epoch": 3.1068765534382767,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043482045334187954,
+      "loss": 5.1273,
+      "mean_token_accuracy": 0.18649032860994338,
+      "num_tokens": 6833071.0,
+      "step": 3750
+    },
+    {
+      "entropy": 5.442513799667358,
+      "epoch": 3.111019055509528,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043459536113805785,
+      "loss": 5.1076,
+      "mean_token_accuracy": 0.17443138360977173,
+      "num_tokens": 6841983.0,
+      "step": 3755
+    },
+    {
+      "entropy": 5.447629022598266,
+      "epoch": 3.115161557580779,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00043436994701295237,
+      "loss": 5.1043,
+      "mean_token_accuracy": 0.17914267033338546,
+      "num_tokens": 6851436.0,
+      "step": 3760
+    },
+    {
+      "entropy": 5.461205101013183,
+      "epoch": 3.1193040596520296,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00043414421142124804,
+      "loss": 5.1836,
+      "mean_token_accuracy": 0.1672696813941002,
+      "num_tokens": 6861810.0,
+      "step": 3765
+    },
+    {
+      "entropy": 5.478553342819214,
+      "epoch": 3.1234465617232807,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00043391815481827814,
+      "loss": 5.0639,
+      "mean_token_accuracy": 0.18850475996732713,
+      "num_tokens": 6870418.0,
+      "step": 3770
+    },
+    {
+      "entropy": 5.41155161857605,
+      "epoch": 3.127589063794532,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004336917776600237,
+      "loss": 5.0683,
+      "mean_token_accuracy": 0.18221812546253205,
+      "num_tokens": 6879419.0,
+      "step": 3775
+    },
+    {
+      "entropy": 5.435874891281128,
+      "epoch": 3.131731565865783,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004334650804031122,
+      "loss": 5.1852,
+      "mean_token_accuracy": 0.17172302156686783,
+      "num_tokens": 6888768.0,
+      "step": 3780
+    },
+    {
+      "entropy": 5.507850646972656,
+      "epoch": 3.135874067937034,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004332380635048165,
+      "loss": 5.1296,
+      "mean_token_accuracy": 0.17900288552045823,
+      "num_tokens": 6897133.0,
+      "step": 3785
+    },
+    {
+      "entropy": 5.485491752624512,
+      "epoch": 3.140016570008285,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00043301072742305474,
+      "loss": 5.1773,
+      "mean_token_accuracy": 0.17168077528476716,
+      "num_tokens": 6904976.0,
+      "step": 3790
+    },
+    {
+      "entropy": 5.537312364578247,
+      "epoch": 3.1441590720795363,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0004327830726163886,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.17883574068546296,
+      "num_tokens": 6915138.0,
+      "step": 3795
+    },
+    {
+      "entropy": 5.548703718185425,
+      "epoch": 3.148301574150787,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0004325550995440226,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.1752033144235611,
+      "num_tokens": 6923962.0,
+      "step": 3800
+    },
+    {
+      "entropy": 5.386642169952393,
+      "epoch": 3.152444076222038,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043232680866580356,
+      "loss": 5.1478,
+      "mean_token_accuracy": 0.17952724993228913,
+      "num_tokens": 6932102.0,
+      "step": 3805
+    },
+    {
+      "entropy": 5.464086627960205,
+      "epoch": 3.156586578293289,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00043209820044221893,
+      "loss": 5.153,
+      "mean_token_accuracy": 0.1785269558429718,
+      "num_tokens": 6940354.0,
+      "step": 3810
+    },
+    {
+      "entropy": 5.4963922023773195,
+      "epoch": 3.1607290803645403,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00043186927533439654,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.1716633692383766,
+      "num_tokens": 6949779.0,
+      "step": 3815
+    },
+    {
+      "entropy": 5.536400413513183,
+      "epoch": 3.1648715824357914,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043164003380410335,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.17445194274187087,
+      "num_tokens": 6958760.0,
+      "step": 3820
+    },
+    {
+      "entropy": 5.486375331878662,
+      "epoch": 3.169014084507042,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004314104763137445,
+      "loss": 5.1037,
+      "mean_token_accuracy": 0.18134674280881882,
+      "num_tokens": 6967535.0,
+      "step": 3825
+    },
+    {
+      "entropy": 5.469356393814087,
+      "epoch": 3.173156586578293,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043118060332636264,
+      "loss": 5.2036,
+      "mean_token_accuracy": 0.17774708271026612,
+      "num_tokens": 6976211.0,
+      "step": 3830
+    },
+    {
+      "entropy": 5.576221227645874,
+      "epoch": 3.1772990886495442,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043095041530563665,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.17325948774814606,
+      "num_tokens": 6986001.0,
+      "step": 3835
+    },
+    {
+      "entropy": 5.420689487457276,
+      "epoch": 3.1814415907207954,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00043071991271588104,
+      "loss": 5.2006,
+      "mean_token_accuracy": 0.18302187621593474,
+      "num_tokens": 6994568.0,
+      "step": 3840
+    },
+    {
+      "entropy": 5.52434401512146,
+      "epoch": 3.1855840927920465,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004304890960220446,
+      "loss": 5.2921,
+      "mean_token_accuracy": 0.16869494169950486,
+      "num_tokens": 7004744.0,
+      "step": 3845
+    },
+    {
+      "entropy": 5.520354557037353,
+      "epoch": 3.1897265948632976,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043025796568970975,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.1696591019630432,
+      "num_tokens": 7014315.0,
+      "step": 3850
+    },
+    {
+      "entropy": 5.523347425460815,
+      "epoch": 3.1938690969345487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043002652218509184,
+      "loss": 5.1172,
+      "mean_token_accuracy": 0.18450311720371246,
+      "num_tokens": 7022258.0,
+      "step": 3855
+    },
+    {
+      "entropy": 5.522213459014893,
+      "epoch": 3.1980115990057993,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004297947659750376,
+      "loss": 5.2587,
+      "mean_token_accuracy": 0.1674624815583229,
+      "num_tokens": 7031732.0,
+      "step": 3860
+    },
+    {
+      "entropy": 5.467557621002197,
+      "epoch": 3.2021541010770505,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004295626975270246,
+      "loss": 5.1818,
+      "mean_token_accuracy": 0.1766605108976364,
+      "num_tokens": 7040478.0,
+      "step": 3865
+    },
+    {
+      "entropy": 5.490935039520264,
+      "epoch": 3.2062966031483016,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00042933031730916024,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.18396904766559602,
+      "num_tokens": 7049360.0,
+      "step": 3870
+    },
+    {
+      "entropy": 5.5688018798828125,
+      "epoch": 3.2104391052195527,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000429097625790181,
+      "loss": 5.2267,
+      "mean_token_accuracy": 0.17498258501291275,
+      "num_tokens": 7059271.0,
+      "step": 3875
+    },
+    {
+      "entropy": 5.398471450805664,
+      "epoch": 3.2145816072908038,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004288646234394508,
+      "loss": 5.2177,
+      "mean_token_accuracy": 0.17296054661273957,
+      "num_tokens": 7069038.0,
+      "step": 3880
+    },
+    {
+      "entropy": 5.5407984256744385,
+      "epoch": 3.218724109362055,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00042863131072696115,
+      "loss": 5.1617,
+      "mean_token_accuracy": 0.17704827934503556,
+      "num_tokens": 7077971.0,
+      "step": 3885
+    },
+    {
+      "entropy": 5.4559561252594,
+      "epoch": 3.2228666114333056,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00042839768812332905,
+      "loss": 5.1612,
+      "mean_token_accuracy": 0.17406544089317322,
+      "num_tokens": 7086821.0,
+      "step": 3890
+    },
+    {
+      "entropy": 5.419722366333008,
+      "epoch": 3.2270091135045567,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000428163756099797,
+      "loss": 5.1859,
+      "mean_token_accuracy": 0.17225482910871506,
+      "num_tokens": 7095407.0,
+      "step": 3895
+    },
+    {
+      "entropy": 5.48249921798706,
+      "epoch": 3.2311516155758078,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004279295151282314,
+      "loss": 5.1116,
+      "mean_token_accuracy": 0.18240531533956528,
+      "num_tokens": 7103964.0,
+      "step": 3900
+    },
+    {
+      "entropy": 5.564240264892578,
+      "epoch": 3.235294117647059,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004276949656811217,
+      "loss": 5.251,
+      "mean_token_accuracy": 0.17079487890005113,
+      "num_tokens": 7113571.0,
+      "step": 3905
+    },
+    {
+      "entropy": 5.522033739089966,
+      "epoch": 3.23943661971831,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00042746010823158006,
+      "loss": 5.2738,
+      "mean_token_accuracy": 0.17067040055990218,
+      "num_tokens": 7122844.0,
+      "step": 3910
+    },
+    {
+      "entropy": 5.4324219703674315,
+      "epoch": 3.243579121789561,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042722494325333945,
+      "loss": 5.1326,
+      "mean_token_accuracy": 0.176889306306839,
+      "num_tokens": 7132123.0,
+      "step": 3915
+    },
+    {
+      "entropy": 5.458636379241943,
+      "epoch": 3.2477216238608118,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004269894712207533,
+      "loss": 5.1819,
+      "mean_token_accuracy": 0.18051923513412477,
+      "num_tokens": 7141068.0,
+      "step": 3920
+    },
+    {
+      "entropy": 5.43212571144104,
+      "epoch": 3.251864125932063,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004267536926087947,
+      "loss": 5.1925,
+      "mean_token_accuracy": 0.1708641156554222,
+      "num_tokens": 7150829.0,
+      "step": 3925
+    },
+    {
+      "entropy": 5.458031702041626,
+      "epoch": 3.256006628003314,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004265176078930545,
+      "loss": 5.1703,
+      "mean_token_accuracy": 0.17345706522464752,
+      "num_tokens": 7160814.0,
+      "step": 3930
+    },
+    {
+      "entropy": 5.498150825500488,
+      "epoch": 3.260149130074565,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00042628121754974166,
+      "loss": 5.2634,
+      "mean_token_accuracy": 0.17203340232372283,
+      "num_tokens": 7170085.0,
+      "step": 3935
+    },
+    {
+      "entropy": 5.590339422225952,
+      "epoch": 3.264291632145816,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004260445220556811,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.1736685037612915,
+      "num_tokens": 7179366.0,
+      "step": 3940
+    },
+    {
+      "entropy": 5.52174072265625,
+      "epoch": 3.2684341342170673,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00042580752188831376,
+      "loss": 5.2819,
+      "mean_token_accuracy": 0.17067586481571198,
+      "num_tokens": 7188342.0,
+      "step": 3945
+    },
+    {
+      "entropy": 5.556540441513062,
+      "epoch": 3.272576636288318,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004255702175256946,
+      "loss": 5.3095,
+      "mean_token_accuracy": 0.17531315684318544,
+      "num_tokens": 7197466.0,
+      "step": 3950
+    },
+    {
+      "entropy": 5.42687840461731,
+      "epoch": 3.276719138359569,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00042533260944649273,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17852312475442886,
+      "num_tokens": 7205462.0,
+      "step": 3955
+    },
+    {
+      "entropy": 5.424286890029907,
+      "epoch": 3.28086164043082,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004250946981299893,
+      "loss": 5.1838,
+      "mean_token_accuracy": 0.17682615667581558,
+      "num_tokens": 7215115.0,
+      "step": 3960
+    },
+    {
+      "entropy": 5.459038209915161,
+      "epoch": 3.2850041425020713,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00042485648405607776,
+      "loss": 5.1379,
+      "mean_token_accuracy": 0.17029522657394408,
+      "num_tokens": 7224909.0,
+      "step": 3965
+    },
+    {
+      "entropy": 5.392039203643799,
+      "epoch": 3.2891466445733224,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004246179677052617,
+      "loss": 5.0642,
+      "mean_token_accuracy": 0.18698266595602037,
+      "num_tokens": 7232946.0,
+      "step": 3970
+    },
+    {
+      "entropy": 5.362467432022095,
+      "epoch": 3.2932891466445735,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004243791495586547,
+      "loss": 5.1736,
+      "mean_token_accuracy": 0.17996304631233215,
+      "num_tokens": 7241104.0,
+      "step": 3975
+    },
+    {
+      "entropy": 5.567073392868042,
+      "epoch": 3.297431648715824,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004241400300979791,
+      "loss": 5.2257,
+      "mean_token_accuracy": 0.1786801502108574,
+      "num_tokens": 7250749.0,
+      "step": 3980
+    },
+    {
+      "entropy": 5.447740983963013,
+      "epoch": 3.3015741507870753,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004239006098055651,
+      "loss": 5.124,
+      "mean_token_accuracy": 0.1787547677755356,
+      "num_tokens": 7258687.0,
+      "step": 3985
+    },
+    {
+      "entropy": 5.41381049156189,
+      "epoch": 3.3057166528583264,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004236608891643494,
+      "loss": 5.1572,
+      "mean_token_accuracy": 0.17702401280403138,
+      "num_tokens": 7267316.0,
+      "step": 3990
+    },
+    {
+      "entropy": 5.448715782165527,
+      "epoch": 3.3098591549295775,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004234208686578748,
+      "loss": 5.1777,
+      "mean_token_accuracy": 0.17505329996347427,
+      "num_tokens": 7276734.0,
+      "step": 3995
+    },
+    {
+      "entropy": 5.440592193603516,
+      "epoch": 3.3140016570008286,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00042318054877028876,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17840310037136078,
+      "num_tokens": 7285916.0,
+      "step": 4000
+    },
+    {
+      "epoch": 3.3140016570008286,
+      "eval_entropy": 5.363256025416002,
+      "eval_loss": 5.893955707550049,
+      "eval_mean_token_accuracy": 0.15349840453819935,
+      "eval_num_tokens": 7285916.0,
+      "eval_runtime": 2.7471,
+      "eval_samples_per_second": 1363.961,
+      "eval_steps_per_second": 170.723,
+      "step": 4000
+    },
+    {
+      "entropy": 5.487448406219483,
+      "epoch": 3.3181441590720797,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042293992998634314,
+      "loss": 5.1667,
+      "mean_token_accuracy": 0.17779863625764847,
+      "num_tokens": 7294184.0,
+      "step": 4005
+    },
+    {
+      "entropy": 5.414953899383545,
+      "epoch": 3.3222866611433304,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004226990127913918,
+      "loss": 5.177,
+      "mean_token_accuracy": 0.1768763244152069,
+      "num_tokens": 7302647.0,
+      "step": 4010
+    },
+    {
+      "entropy": 5.442982530593872,
+      "epoch": 3.3264291632145815,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004224577976713915,
+      "loss": 5.2506,
+      "mean_token_accuracy": 0.16832198798656464,
+      "num_tokens": 7311455.0,
+      "step": 4015
+    },
+    {
+      "entropy": 5.609448575973511,
+      "epoch": 3.3305716652858326,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00042221628511289927,
+      "loss": 5.3136,
+      "mean_token_accuracy": 0.16625809520483018,
+      "num_tokens": 7320978.0,
+      "step": 4020
+    },
+    {
+      "entropy": 5.612923622131348,
+      "epoch": 3.3347141673570837,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004219744756030723,
+      "loss": 5.3273,
+      "mean_token_accuracy": 0.16872513592243193,
+      "num_tokens": 7330202.0,
+      "step": 4025
+    },
+    {
+      "entropy": 5.4015247344970705,
+      "epoch": 3.338856669428335,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00042173236962966706,
+      "loss": 5.1649,
+      "mean_token_accuracy": 0.17969190180301667,
+      "num_tokens": 7339121.0,
+      "step": 4030
+    },
+    {
+      "entropy": 5.492907905578614,
+      "epoch": 3.342999171499586,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004214899676810375,
+      "loss": 5.2251,
+      "mean_token_accuracy": 0.1665240079164505,
+      "num_tokens": 7348631.0,
+      "step": 4035
+    },
+    {
+      "entropy": 5.469464063644409,
+      "epoch": 3.347141673570837,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004212472702461348,
+      "loss": 5.1843,
+      "mean_token_accuracy": 0.1820875510573387,
+      "num_tokens": 7358354.0,
+      "step": 4040
+    },
+    {
+      "entropy": 5.454071807861328,
+      "epoch": 3.3512841756420877,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004210042778145064,
+      "loss": 5.2038,
+      "mean_token_accuracy": 0.17285584658384323,
+      "num_tokens": 7367031.0,
+      "step": 4045
+    },
+    {
+      "entropy": 5.436822319030762,
+      "epoch": 3.355426677713339,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00042076099087629443,
+      "loss": 5.2025,
+      "mean_token_accuracy": 0.1784903883934021,
+      "num_tokens": 7375996.0,
+      "step": 4050
+    },
+    {
+      "entropy": 5.552537536621093,
+      "epoch": 3.35956917978459,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00042051740992223534,
+      "loss": 5.2567,
+      "mean_token_accuracy": 0.16439318358898164,
+      "num_tokens": 7385355.0,
+      "step": 4055
+    },
+    {
+      "entropy": 5.402252960205078,
+      "epoch": 3.363711681855841,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004202735354436586,
+      "loss": 5.0999,
+      "mean_token_accuracy": 0.1792566418647766,
+      "num_tokens": 7394384.0,
+      "step": 4060
+    },
+    {
+      "entropy": 5.511481237411499,
+      "epoch": 3.367854183927092,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00042002936793248546,
+      "loss": 5.2458,
+      "mean_token_accuracy": 0.1770971804857254,
+      "num_tokens": 7403141.0,
+      "step": 4065
+    },
+    {
+      "entropy": 5.508409786224365,
+      "epoch": 3.371996685998343,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004197849078812286,
+      "loss": 5.199,
+      "mean_token_accuracy": 0.1739865079522133,
+      "num_tokens": 7413331.0,
+      "step": 4070
+    },
+    {
+      "entropy": 5.471702003479004,
+      "epoch": 3.376139188069594,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004195401557829907,
+      "loss": 5.2368,
+      "mean_token_accuracy": 0.17052597552537918,
+      "num_tokens": 7422362.0,
+      "step": 4075
+    },
+    {
+      "entropy": 5.4563977241516115,
+      "epoch": 3.380281690140845,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041929511213146343,
+      "loss": 5.1661,
+      "mean_token_accuracy": 0.18033864200115204,
+      "num_tokens": 7431350.0,
+      "step": 4080
+    },
+    {
+      "entropy": 5.4815953254699705,
+      "epoch": 3.384424192212096,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004190497774209266,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.1800685152411461,
+      "num_tokens": 7440382.0,
+      "step": 4085
+    },
+    {
+      "entropy": 5.51438536643982,
+      "epoch": 3.3885666942833472,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00041880415214624715,
+      "loss": 5.2355,
+      "mean_token_accuracy": 0.17847414761781694,
+      "num_tokens": 7449357.0,
+      "step": 4090
+    },
+    {
+      "entropy": 5.463125705718994,
+      "epoch": 3.3927091963545983,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004185582368028781,
+      "loss": 5.1468,
+      "mean_token_accuracy": 0.1853232800960541,
+      "num_tokens": 7457544.0,
+      "step": 4095
+    },
+    {
+      "entropy": 5.409591102600098,
+      "epoch": 3.3968516984258494,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004183120318868577,
+      "loss": 5.1616,
+      "mean_token_accuracy": 0.18774343580007552,
+      "num_tokens": 7465915.0,
+      "step": 4100
+    },
+    {
+      "entropy": 5.435869741439819,
+      "epoch": 3.4009942004971,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00041806553789480787,
+      "loss": 5.1161,
+      "mean_token_accuracy": 0.1833360970020294,
+      "num_tokens": 7474551.0,
+      "step": 4105
+    },
+    {
+      "entropy": 5.507905626296997,
+      "epoch": 3.405136702568351,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00041781875532393423,
+      "loss": 5.2287,
+      "mean_token_accuracy": 0.17473389357328414,
+      "num_tokens": 7483271.0,
+      "step": 4110
+    },
+    {
+      "entropy": 5.474280261993409,
+      "epoch": 3.4092792046396023,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00041757168467202404,
+      "loss": 5.2371,
+      "mean_token_accuracy": 0.17051266878843307,
+      "num_tokens": 7493179.0,
+      "step": 4115
+    },
+    {
+      "entropy": 5.47375521659851,
+      "epoch": 3.4134217067108534,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00041732432643744576,
+      "loss": 5.2132,
+      "mean_token_accuracy": 0.17562344074249267,
+      "num_tokens": 7501858.0,
+      "step": 4120
+    },
+    {
+      "entropy": 5.562008953094482,
+      "epoch": 3.4175642087821045,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004170766811191481,
+      "loss": 5.282,
+      "mean_token_accuracy": 0.16895801872014998,
+      "num_tokens": 7511817.0,
+      "step": 4125
+    },
+    {
+      "entropy": 5.3949895858764645,
+      "epoch": 3.421706710853355,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.0004168287492166587,
+      "loss": 5.2513,
+      "mean_token_accuracy": 0.175115604698658,
+      "num_tokens": 7521655.0,
+      "step": 4130
+    },
+    {
+      "entropy": 5.478516006469727,
+      "epoch": 3.4258492129246063,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041658053123008325,
+      "loss": 5.2289,
+      "mean_token_accuracy": 0.17174260020256044,
+      "num_tokens": 7531321.0,
+      "step": 4135
+    },
+    {
+      "entropy": 5.469200515747071,
+      "epoch": 3.4299917149958574,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004163320276601046,
+      "loss": 5.2104,
+      "mean_token_accuracy": 0.17538849860429764,
+      "num_tokens": 7540613.0,
+      "step": 4140
+    },
+    {
+      "entropy": 5.478423690795898,
+      "epoch": 3.4341342170671085,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004160832390079816,
+      "loss": 5.2823,
+      "mean_token_accuracy": 0.17514234632253647,
+      "num_tokens": 7549598.0,
+      "step": 4145
+    },
+    {
+      "entropy": 5.449503993988037,
+      "epoch": 3.4382767191383596,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00041583416577554815,
+      "loss": 5.1509,
+      "mean_token_accuracy": 0.18169643133878707,
+      "num_tokens": 7558738.0,
+      "step": 4150
+    },
+    {
+      "entropy": 5.454873323440552,
+      "epoch": 3.4424192212096107,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041558480846521213,
+      "loss": 5.1996,
+      "mean_token_accuracy": 0.17627429366111755,
+      "num_tokens": 7566873.0,
+      "step": 4155
+    },
+    {
+      "entropy": 5.413073778152466,
+      "epoch": 3.446561723280862,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041533516757995455,
+      "loss": 5.18,
+      "mean_token_accuracy": 0.1794169783592224,
+      "num_tokens": 7576645.0,
+      "step": 4160
+    },
+    {
+      "entropy": 5.449489498138428,
+      "epoch": 3.4507042253521125,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004150852436233283,
+      "loss": 5.1844,
+      "mean_token_accuracy": 0.17338148206472398,
+      "num_tokens": 7584854.0,
+      "step": 4165
+    },
+    {
+      "entropy": 5.500524044036865,
+      "epoch": 3.4548467274233636,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004148350370994574,
+      "loss": 5.3142,
+      "mean_token_accuracy": 0.16781232208013536,
+      "num_tokens": 7594022.0,
+      "step": 4170
+    },
+    {
+      "entropy": 5.458495187759399,
+      "epoch": 3.4589892294946147,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004145845485130357,
+      "loss": 5.1757,
+      "mean_token_accuracy": 0.17461147904396057,
+      "num_tokens": 7603259.0,
+      "step": 4175
+    },
+    {
+      "entropy": 5.453242301940918,
+      "epoch": 3.463131731565866,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00041433377836932594,
+      "loss": 5.2853,
+      "mean_token_accuracy": 0.1680028423666954,
+      "num_tokens": 7613451.0,
+      "step": 4180
+    },
+    {
+      "entropy": 5.533868455886841,
+      "epoch": 3.467274233637117,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00041408272717415913,
+      "loss": 5.245,
+      "mean_token_accuracy": 0.17225596755743028,
+      "num_tokens": 7622218.0,
+      "step": 4185
+    },
+    {
+      "entropy": 5.351213121414185,
+      "epoch": 3.4714167357083676,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004138313954339327,
+      "loss": 5.104,
+      "mean_token_accuracy": 0.17463669180870056,
+      "num_tokens": 7630508.0,
+      "step": 4190
+    },
+    {
+      "entropy": 5.488496780395508,
+      "epoch": 3.4755592377796187,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004135797836556106,
+      "loss": 5.1982,
+      "mean_token_accuracy": 0.181541608273983,
+      "num_tokens": 7640141.0,
+      "step": 4195
+    },
+    {
+      "entropy": 5.459699392318726,
+      "epoch": 3.47970173985087,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041332789234672094,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1721531167626381,
+      "num_tokens": 7648764.0,
+      "step": 4200
+    },
+    {
+      "entropy": 5.406872129440307,
+      "epoch": 3.483844241922121,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004130757220153561,
+      "loss": 5.1952,
+      "mean_token_accuracy": 0.18173792064189911,
+      "num_tokens": 7658642.0,
+      "step": 4205
+    },
+    {
+      "entropy": 5.544135618209839,
+      "epoch": 3.487986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004128232731701712,
+      "loss": 5.377,
+      "mean_token_accuracy": 0.16519460082054138,
+      "num_tokens": 7667524.0,
+      "step": 4210
+    },
+    {
+      "entropy": 5.488169002532959,
+      "epoch": 3.492129246064623,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004125705463203833,
+      "loss": 5.1928,
+      "mean_token_accuracy": 0.18297115415334703,
+      "num_tokens": 7675800.0,
+      "step": 4215
+    },
+    {
+      "entropy": 5.490040969848633,
+      "epoch": 3.4962717481358743,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041231754197576986,
+      "loss": 5.2252,
+      "mean_token_accuracy": 0.1757526621222496,
+      "num_tokens": 7683742.0,
+      "step": 4220
+    },
+    {
+      "entropy": 5.468280076980591,
+      "epoch": 3.5004142502071254,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004120642606466685,
+      "loss": 5.2278,
+      "mean_token_accuracy": 0.1796238511800766,
+      "num_tokens": 7692379.0,
+      "step": 4225
+    },
+    {
+      "entropy": 5.494374942779541,
+      "epoch": 3.504556752278376,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004118107028439751,
+      "loss": 5.2138,
+      "mean_token_accuracy": 0.17588699012994766,
+      "num_tokens": 7702156.0,
+      "step": 4230
+    },
+    {
+      "entropy": 5.467664003372192,
+      "epoch": 3.508699254349627,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00041155686907914365,
+      "loss": 5.2275,
+      "mean_token_accuracy": 0.1754150867462158,
+      "num_tokens": 7712135.0,
+      "step": 4235
+    },
+    {
+      "entropy": 5.451332426071167,
+      "epoch": 3.5128417564208783,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004113027598641845,
+      "loss": 5.1785,
+      "mean_token_accuracy": 0.1752738744020462,
+      "num_tokens": 7721347.0,
+      "step": 4240
+    },
+    {
+      "entropy": 5.471200275421142,
+      "epoch": 3.5169842584921294,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004110483757116637,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.1789921909570694,
+      "num_tokens": 7731351.0,
+      "step": 4245
+    },
+    {
+      "entropy": 5.433224248886108,
+      "epoch": 3.52112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00041079371713470195,
+      "loss": 5.0996,
+      "mean_token_accuracy": 0.18778069019317628,
+      "num_tokens": 7740413.0,
+      "step": 4250
+    },
+    {
+      "entropy": 5.416608476638794,
+      "epoch": 3.525269262634631,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041053878464697343,
+      "loss": 5.1977,
+      "mean_token_accuracy": 0.18009850829839708,
+      "num_tokens": 7749319.0,
+      "step": 4255
+    },
+    {
+      "entropy": 5.519042015075684,
+      "epoch": 3.5294117647058822,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004102835787627047,
+      "loss": 5.2446,
+      "mean_token_accuracy": 0.17312991321086885,
+      "num_tokens": 7757936.0,
+      "step": 4260
+    },
+    {
+      "entropy": 5.542943048477173,
+      "epoch": 3.5335542667771334,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004100280999966741,
+      "loss": 5.3083,
+      "mean_token_accuracy": 0.17331433892250062,
+      "num_tokens": 7767349.0,
+      "step": 4265
+    },
+    {
+      "entropy": 5.4042651653289795,
+      "epoch": 3.5376967688483845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00040977234886421007,
+      "loss": 5.1133,
+      "mean_token_accuracy": 0.17731781899929047,
+      "num_tokens": 7776448.0,
+      "step": 4270
+    },
+    {
+      "entropy": 5.4222177028656,
+      "epoch": 3.5418392709196356,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040951632588119064,
+      "loss": 5.209,
+      "mean_token_accuracy": 0.17401482313871383,
+      "num_tokens": 7785768.0,
+      "step": 4275
+    },
+    {
+      "entropy": 5.600345802307129,
+      "epoch": 3.5459817729908867,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004092600315640422,
+      "loss": 5.2999,
+      "mean_token_accuracy": 0.1715576618909836,
+      "num_tokens": 7794803.0,
+      "step": 4280
+    },
+    {
+      "entropy": 5.411063814163208,
+      "epoch": 3.550124275062138,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004090034664297382,
+      "loss": 5.157,
+      "mean_token_accuracy": 0.17963247746229172,
+      "num_tokens": 7803533.0,
+      "step": 4285
+    },
+    {
+      "entropy": 5.421855831146241,
+      "epoch": 3.5542667771333885,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00040874663099579883,
+      "loss": 5.2246,
+      "mean_token_accuracy": 0.1706953912973404,
+      "num_tokens": 7812854.0,
+      "step": 4290
+    },
+    {
+      "entropy": 5.49954047203064,
+      "epoch": 3.5584092792046396,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040848952578028915,
+      "loss": 5.1628,
+      "mean_token_accuracy": 0.174958436191082,
+      "num_tokens": 7821683.0,
+      "step": 4295
+    },
+    {
+      "entropy": 5.501424264907837,
+      "epoch": 3.5625517812758907,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004082321513018183,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.18335361480712892,
+      "num_tokens": 7830967.0,
+      "step": 4300
+    },
+    {
+      "entropy": 5.48747296333313,
+      "epoch": 3.566694283347142,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00040797450807953897,
+      "loss": 5.2159,
+      "mean_token_accuracy": 0.17444179207086563,
+      "num_tokens": 7841179.0,
+      "step": 4305
+    },
+    {
+      "entropy": 5.489819192886353,
+      "epoch": 3.5708367854183924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004077165966331454,
+      "loss": 5.1587,
+      "mean_token_accuracy": 0.1852751389145851,
+      "num_tokens": 7849841.0,
+      "step": 4310
+    },
+    {
+      "entropy": 5.301797342300415,
+      "epoch": 3.5749792874896436,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004074584174828735,
+      "loss": 5.2184,
+      "mean_token_accuracy": 0.1747626096010208,
+      "num_tokens": 7859390.0,
+      "step": 4315
+    },
+    {
+      "entropy": 5.493851947784424,
+      "epoch": 3.5791217895608947,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040719997114949856,
+      "loss": 5.1913,
+      "mean_token_accuracy": 0.17565421015024185,
+      "num_tokens": 7868848.0,
+      "step": 4320
+    },
+    {
+      "entropy": 5.506833124160766,
+      "epoch": 3.5832642916321458,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040694125815433533,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.18058759868144988,
+      "num_tokens": 7877521.0,
+      "step": 4325
+    },
+    {
+      "entropy": 5.488465976715088,
+      "epoch": 3.587406793703397,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004066822790192359,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.17181889414787294,
+      "num_tokens": 7886355.0,
+      "step": 4330
+    },
+    {
+      "entropy": 5.437413024902344,
+      "epoch": 3.591549295774648,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00040642303426658967,
+      "loss": 5.2518,
+      "mean_token_accuracy": 0.17224401384592056,
+      "num_tokens": 7895028.0,
+      "step": 4335
+    },
+    {
+      "entropy": 5.379445266723633,
+      "epoch": 3.595691797845899,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040616352441932163,
+      "loss": 5.1282,
+      "mean_token_accuracy": 0.17695483118295668,
+      "num_tokens": 7904192.0,
+      "step": 4340
+    },
+    {
+      "entropy": 5.439553546905517,
+      "epoch": 3.59983429991715,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00040590375000089146,
+      "loss": 5.2066,
+      "mean_token_accuracy": 0.17032651007175445,
+      "num_tokens": 7912328.0,
+      "step": 4345
+    },
+    {
+      "entropy": 5.5121315002441404,
+      "epoch": 3.603976801988401,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00040564371153529256,
+      "loss": 5.2517,
+      "mean_token_accuracy": 0.1720314145088196,
+      "num_tokens": 7922594.0,
+      "step": 4350
+    },
+    {
+      "entropy": 5.450373315811158,
+      "epoch": 3.608119304059652,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004053834095470509,
+      "loss": 5.2201,
+      "mean_token_accuracy": 0.16222715824842454,
+      "num_tokens": 7932345.0,
+      "step": 4355
+    },
+    {
+      "entropy": 5.505369853973389,
+      "epoch": 3.612261806130903,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00040512284456122407,
+      "loss": 5.2236,
+      "mean_token_accuracy": 0.17660728394985198,
+      "num_tokens": 7942800.0,
+      "step": 4360
+    },
+    {
+      "entropy": 5.410261583328247,
+      "epoch": 3.616404308202154,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00040486201710340016,
+      "loss": 5.1287,
+      "mean_token_accuracy": 0.1859680861234665,
+      "num_tokens": 7951094.0,
+      "step": 4365
+    },
+    {
+      "entropy": 5.429905796051026,
+      "epoch": 3.6205468102734053,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040460092769969654,
+      "loss": 5.1947,
+      "mean_token_accuracy": 0.17089750617742538,
+      "num_tokens": 7960652.0,
+      "step": 4370
+    },
+    {
+      "entropy": 5.518308162689209,
+      "epoch": 3.624689312344656,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004043395768767592,
+      "loss": 5.2977,
+      "mean_token_accuracy": 0.16983983814716339,
+      "num_tokens": 7969350.0,
+      "step": 4375
+    },
+    {
+      "entropy": 5.475090789794922,
+      "epoch": 3.628831814415907,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004040779651617612,
+      "loss": 5.1831,
+      "mean_token_accuracy": 0.1762356474995613,
+      "num_tokens": 7978969.0,
+      "step": 4380
+    },
+    {
+      "entropy": 5.422111892700196,
+      "epoch": 3.632974316487158,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040381609308240207,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.1777448311448097,
+      "num_tokens": 7988531.0,
+      "step": 4385
+    },
+    {
+      "entropy": 5.423072242736817,
+      "epoch": 3.6371168185584093,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040355396116690634,
+      "loss": 5.1864,
+      "mean_token_accuracy": 0.17186058908700944,
+      "num_tokens": 7996576.0,
+      "step": 4390
+    },
+    {
+      "entropy": 5.435235500335693,
+      "epoch": 3.6412593206296604,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004032915699440227,
+      "loss": 5.2216,
+      "mean_token_accuracy": 0.17088689655065536,
+      "num_tokens": 8006279.0,
+      "step": 4395
+    },
+    {
+      "entropy": 5.496079921722412,
+      "epoch": 3.6454018227009115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000403028919943023,
+      "loss": 5.2049,
+      "mean_token_accuracy": 0.17314011603593826,
+      "num_tokens": 8015476.0,
+      "step": 4400
+    },
+    {
+      "entropy": 5.474205350875854,
+      "epoch": 3.6495443247721626,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004027660116937009,
+      "loss": 5.2326,
+      "mean_token_accuracy": 0.17077937126159667,
+      "num_tokens": 8025450.0,
+      "step": 4405
+    },
+    {
+      "entropy": 5.4402251720428465,
+      "epoch": 3.6536868268434133,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004025028457263712,
+      "loss": 5.2238,
+      "mean_token_accuracy": 0.17810273319482803,
+      "num_tokens": 8034850.0,
+      "step": 4410
+    },
+    {
+      "entropy": 5.3980237483978275,
+      "epoch": 3.6578293289146644,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004022394225718684,
+      "loss": 5.1709,
+      "mean_token_accuracy": 0.17368220686912536,
+      "num_tokens": 8044526.0,
+      "step": 4415
+    },
+    {
+      "entropy": 5.446775197982788,
+      "epoch": 3.6619718309859155,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004019757427615456,
+      "loss": 5.1341,
+      "mean_token_accuracy": 0.17317759096622468,
+      "num_tokens": 8054033.0,
+      "step": 4420
+    },
+    {
+      "entropy": 5.478370094299317,
+      "epoch": 3.6661143330571666,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0004017118068272739,
+      "loss": 5.2298,
+      "mean_token_accuracy": 0.17926038503646852,
+      "num_tokens": 8063535.0,
+      "step": 4425
+    },
+    {
+      "entropy": 5.495908880233765,
+      "epoch": 3.6702568351284177,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040144761530144096,
+      "loss": 5.2181,
+      "mean_token_accuracy": 0.18870080262422562,
+      "num_tokens": 8073079.0,
+      "step": 4430
+    },
+    {
+      "entropy": 5.367459678649903,
+      "epoch": 3.6743993371996684,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00040118316871695,
+      "loss": 5.1505,
+      "mean_token_accuracy": 0.18230827152729034,
+      "num_tokens": 8082925.0,
+      "step": 4435
+    },
+    {
+      "entropy": 5.457099437713623,
+      "epoch": 3.6785418392709195,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040091846760721857,
+      "loss": 5.2466,
+      "mean_token_accuracy": 0.17278454601764678,
+      "num_tokens": 8092038.0,
+      "step": 4440
+    },
+    {
+      "entropy": 5.460009002685547,
+      "epoch": 3.6826843413421706,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040065351250617774,
+      "loss": 5.2137,
+      "mean_token_accuracy": 0.1679331600666046,
+      "num_tokens": 8101581.0,
+      "step": 4445
+    },
+    {
+      "entropy": 5.392482471466065,
+      "epoch": 3.6868268434134217,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00040038830394827107,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.17032679468393325,
+      "num_tokens": 8111392.0,
+      "step": 4450
+    },
+    {
+      "entropy": 5.5369532108306885,
+      "epoch": 3.690969345484673,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000400122842468453,
+      "loss": 5.2742,
+      "mean_token_accuracy": 0.16916199624538422,
+      "num_tokens": 8120941.0,
+      "step": 4455
+    },
+    {
+      "entropy": 5.403111267089844,
+      "epoch": 3.695111847555924,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003998571286021884,
+      "loss": 5.1822,
+      "mean_token_accuracy": 0.1721450611948967,
+      "num_tokens": 8129983.0,
+      "step": 4460
+    },
+    {
+      "entropy": 5.482623481750489,
+      "epoch": 3.699254349627175,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003995911628854512,
+      "loss": 5.3064,
+      "mean_token_accuracy": 0.1740827202796936,
+      "num_tokens": 8139428.0,
+      "step": 4465
+    },
+    {
+      "entropy": 5.509563970565796,
+      "epoch": 3.7033968516984257,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003993249458547234,
+      "loss": 5.2302,
+      "mean_token_accuracy": 0.16980735808610917,
+      "num_tokens": 8148520.0,
+      "step": 4470
+    },
+    {
+      "entropy": 5.3746521949768065,
+      "epoch": 3.707539353769677,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039905847804699363,
+      "loss": 5.0676,
+      "mean_token_accuracy": 0.18766331672668457,
+      "num_tokens": 8156908.0,
+      "step": 4475
+    },
+    {
+      "entropy": 5.446433591842651,
+      "epoch": 3.711681855840928,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00039879175999975677,
+      "loss": 5.2156,
+      "mean_token_accuracy": 0.18001207262277602,
+      "num_tokens": 8165677.0,
+      "step": 4480
+    },
+    {
+      "entropy": 5.386814975738526,
+      "epoch": 3.715824357912179,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00039852479225101217,
+      "loss": 5.1883,
+      "mean_token_accuracy": 0.17356531620025634,
+      "num_tokens": 8174786.0,
+      "step": 4485
+    },
+    {
+      "entropy": 5.454575872421264,
+      "epoch": 3.71996685998343,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00039825757533926305,
+      "loss": 5.2484,
+      "mean_token_accuracy": 0.16340016275644303,
+      "num_tokens": 8184150.0,
+      "step": 4490
+    },
+    {
+      "entropy": 5.4400050163269045,
+      "epoch": 3.724109362054681,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039799010980351494,
+      "loss": 5.1455,
+      "mean_token_accuracy": 0.1879016414284706,
+      "num_tokens": 8192257.0,
+      "step": 4495
+    },
+    {
+      "entropy": 5.452324247360229,
+      "epoch": 3.728251864125932,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00039772239618327535,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.1748780906200409,
+      "num_tokens": 8201041.0,
+      "step": 4500
+    },
+    {
+      "epoch": 3.728251864125932,
+      "eval_entropy": 5.297962182620441,
+      "eval_loss": 5.854063987731934,
+      "eval_mean_token_accuracy": 0.15576711011085428,
+      "eval_num_tokens": 8201041.0,
+      "eval_runtime": 2.7449,
+      "eval_samples_per_second": 1365.057,
+      "eval_steps_per_second": 170.86,
+      "step": 4500
+    },
+    {
+      "entropy": 5.430630874633789,
+      "epoch": 3.732394366197183,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00039745443501855156,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18020173758268357,
+      "num_tokens": 8209881.0,
+      "step": 4505
+    },
+    {
+      "entropy": 5.426507759094238,
+      "epoch": 3.736536868268434,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039718622684985075,
+      "loss": 5.2198,
+      "mean_token_accuracy": 0.1857784554362297,
+      "num_tokens": 8218504.0,
+      "step": 4510
+    },
+    {
+      "entropy": 5.427436780929566,
+      "epoch": 3.7406793703396852,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000396917772218178,
+      "loss": 5.0397,
+      "mean_token_accuracy": 0.19483556151390075,
+      "num_tokens": 8226785.0,
+      "step": 4515
+    },
+    {
+      "entropy": 5.463036251068115,
+      "epoch": 3.7448218724109363,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0003966490716650357,
+      "loss": 5.1879,
+      "mean_token_accuracy": 0.1808652698993683,
+      "num_tokens": 8236092.0,
+      "step": 4520
+    },
+    {
+      "entropy": 5.398115777969361,
+      "epoch": 3.7489643744821874,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039638012573242225,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18426763266324997,
+      "num_tokens": 8245297.0,
+      "step": 4525
+    },
+    {
+      "entropy": 5.498414611816406,
+      "epoch": 3.7531068765534386,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003961109349628309,
+      "loss": 5.2544,
+      "mean_token_accuracy": 0.16994525790214537,
+      "num_tokens": 8254772.0,
+      "step": 4530
+    },
+    {
+      "entropy": 5.488787031173706,
+      "epoch": 3.757249378624689,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000395841499899249,
+      "loss": 5.3168,
+      "mean_token_accuracy": 0.1684611275792122,
+      "num_tokens": 8264310.0,
+      "step": 4535
+    },
+    {
+      "entropy": 5.4844201564788815,
+      "epoch": 3.7613918806959403,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00039557182108515624,
+      "loss": 5.2197,
+      "mean_token_accuracy": 0.1802253693342209,
+      "num_tokens": 8274184.0,
+      "step": 4540
+    },
+    {
+      "entropy": 5.40406289100647,
+      "epoch": 3.7655343827671914,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039530189906452457,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.18066346347332002,
+      "num_tokens": 8283151.0,
+      "step": 4545
+    },
+    {
+      "entropy": 5.490919494628907,
+      "epoch": 3.7696768848384425,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00039503173438181605,
+      "loss": 5.2375,
+      "mean_token_accuracy": 0.16958207488059998,
+      "num_tokens": 8292574.0,
+      "step": 4550
+    },
+    {
+      "entropy": 5.37688570022583,
+      "epoch": 3.773819386909693,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039476132758198236,
+      "loss": 5.1589,
+      "mean_token_accuracy": 0.17906700521707536,
+      "num_tokens": 8301281.0,
+      "step": 4555
+    },
+    {
+      "entropy": 5.404768991470337,
+      "epoch": 3.7779618889809443,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039449067921046353,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.184201979637146,
+      "num_tokens": 8310201.0,
+      "step": 4560
+    },
+    {
+      "entropy": 5.5153802871704105,
+      "epoch": 3.7821043910521954,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00039421978981318703,
+      "loss": 5.243,
+      "mean_token_accuracy": 0.17428653091192245,
+      "num_tokens": 8320369.0,
+      "step": 4565
+    },
+    {
+      "entropy": 5.490174674987793,
+      "epoch": 3.7862468931234465,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00039394865993656625,
+      "loss": 5.2332,
+      "mean_token_accuracy": 0.17829314470291138,
+      "num_tokens": 8329519.0,
+      "step": 4570
+    },
+    {
+      "entropy": 5.4183516025543215,
+      "epoch": 3.7903893951946976,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003936772901274999,
+      "loss": 5.2233,
+      "mean_token_accuracy": 0.16786337196826934,
+      "num_tokens": 8338282.0,
+      "step": 4575
+    },
+    {
+      "entropy": 5.422275066375732,
+      "epoch": 3.7945318972659487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003934056809333705,
+      "loss": 5.2367,
+      "mean_token_accuracy": 0.1760738953948021,
+      "num_tokens": 8346861.0,
+      "step": 4580
+    },
+    {
+      "entropy": 5.493864250183106,
+      "epoch": 3.7986743993372,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039313383290204333,
+      "loss": 5.2689,
+      "mean_token_accuracy": 0.16675272732973098,
+      "num_tokens": 8356078.0,
+      "step": 4585
+    },
+    {
+      "entropy": 5.449766826629639,
+      "epoch": 3.802816901408451,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003928617465818658,
+      "loss": 5.2279,
+      "mean_token_accuracy": 0.16728012412786483,
+      "num_tokens": 8365487.0,
+      "step": 4590
+    },
+    {
+      "entropy": 5.477828598022461,
+      "epoch": 3.8069594034797016,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00039258942252166554,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.17344195693731307,
+      "num_tokens": 8374622.0,
+      "step": 4595
+    },
+    {
+      "entropy": 5.467281007766724,
+      "epoch": 3.8111019055509527,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003923168612707502,
+      "loss": 5.1437,
+      "mean_token_accuracy": 0.1838704138994217,
+      "num_tokens": 8383312.0,
+      "step": 4600
+    },
+    {
+      "entropy": 5.375951862335205,
+      "epoch": 3.815244407622204,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003920440633789053,
+      "loss": 5.1668,
+      "mean_token_accuracy": 0.17426021844148637,
+      "num_tokens": 8391987.0,
+      "step": 4605
+    },
+    {
+      "entropy": 5.411648225784302,
+      "epoch": 3.819386909693455,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039177102939639424,
+      "loss": 5.1782,
+      "mean_token_accuracy": 0.17309755831956863,
+      "num_tokens": 8401263.0,
+      "step": 4610
+    },
+    {
+      "entropy": 5.520602798461914,
+      "epoch": 3.8235294117647056,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003914977598739563,
+      "loss": 5.1998,
+      "mean_token_accuracy": 0.18663258850574493,
+      "num_tokens": 8410110.0,
+      "step": 4615
+    },
+    {
+      "entropy": 5.505752420425415,
+      "epoch": 3.8276719138359567,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003912242553628059,
+      "loss": 5.2827,
+      "mean_token_accuracy": 0.16937017440795898,
+      "num_tokens": 8419321.0,
+      "step": 4620
+    },
+    {
+      "entropy": 5.470319938659668,
+      "epoch": 3.831814415907208,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003909505164146318,
+      "loss": 5.2512,
+      "mean_token_accuracy": 0.17635022550821305,
+      "num_tokens": 8428376.0,
+      "step": 4625
+    },
+    {
+      "entropy": 5.446829080581665,
+      "epoch": 3.835956917978459,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000390676543581595,
+      "loss": 5.1826,
+      "mean_token_accuracy": 0.1743323564529419,
+      "num_tokens": 8437263.0,
+      "step": 4630
+    },
+    {
+      "entropy": 5.361465311050415,
+      "epoch": 3.84009942004971,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003904023374163289,
+      "loss": 5.1943,
+      "mean_token_accuracy": 0.17949013262987137,
+      "num_tokens": 8445889.0,
+      "step": 4635
+    },
+    {
+      "entropy": 5.503735971450806,
+      "epoch": 3.844241922120961,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003901278984719372,
+      "loss": 5.3739,
+      "mean_token_accuracy": 0.16415481567382811,
+      "num_tokens": 8456086.0,
+      "step": 4640
+    },
+    {
+      "entropy": 5.492273569107056,
+      "epoch": 3.8483844241922123,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00038985322730199326,
+      "loss": 5.2018,
+      "mean_token_accuracy": 0.1795567825436592,
+      "num_tokens": 8465150.0,
+      "step": 4645
+    },
+    {
+      "entropy": 5.431647396087646,
+      "epoch": 3.8525269262634634,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003895783244605389,
+      "loss": 5.2783,
+      "mean_token_accuracy": 0.1720671087503433,
+      "num_tokens": 8474172.0,
+      "step": 4650
+    },
+    {
+      "entropy": 5.404905462265015,
+      "epoch": 3.856669428334714,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00038930319050208315,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.18708953112363816,
+      "num_tokens": 8483636.0,
+      "step": 4655
+    },
+    {
+      "entropy": 5.408392810821534,
+      "epoch": 3.860811930405965,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00038902782598160127,
+      "loss": 5.1091,
+      "mean_token_accuracy": 0.1881578117609024,
+      "num_tokens": 8491560.0,
+      "step": 4660
+    },
+    {
+      "entropy": 5.484521150588989,
+      "epoch": 3.8649544324772163,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00038875223145453346,
+      "loss": 5.4046,
+      "mean_token_accuracy": 0.17662398070096968,
+      "num_tokens": 8501685.0,
+      "step": 4665
+    },
+    {
+      "entropy": 5.551066589355469,
+      "epoch": 3.8690969345484674,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003884764074767842,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.17176942974328996,
+      "num_tokens": 8510580.0,
+      "step": 4670
+    },
+    {
+      "entropy": 5.477302551269531,
+      "epoch": 3.873239436619718,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003882003546047205,
+      "loss": 5.2013,
+      "mean_token_accuracy": 0.17522621154785156,
+      "num_tokens": 8519595.0,
+      "step": 4675
+    },
+    {
+      "entropy": 5.506098508834839,
+      "epoch": 3.877381938690969,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00038792407339517123,
+      "loss": 5.2786,
+      "mean_token_accuracy": 0.17400375306606292,
+      "num_tokens": 8529118.0,
+      "step": 4680
+    },
+    {
+      "entropy": 5.507658243179321,
+      "epoch": 3.8815244407622203,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00038764756440542574,
+      "loss": 5.2477,
+      "mean_token_accuracy": 0.17185091674327851,
+      "num_tokens": 8539322.0,
+      "step": 4685
+    },
+    {
+      "entropy": 5.454025650024414,
+      "epoch": 3.8856669428334714,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038737082819323285,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.17740404605865479,
+      "num_tokens": 8548707.0,
+      "step": 4690
+    },
+    {
+      "entropy": 5.427890157699585,
+      "epoch": 3.8898094449047225,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00038709386531679974,
+      "loss": 5.2576,
+      "mean_token_accuracy": 0.1718251511454582,
+      "num_tokens": 8557500.0,
+      "step": 4695
+    },
+    {
+      "entropy": 5.436252593994141,
+      "epoch": 3.8939519469759736,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00038681667633479086,
+      "loss": 5.2621,
+      "mean_token_accuracy": 0.1682343602180481,
+      "num_tokens": 8567465.0,
+      "step": 4700
+    },
+    {
+      "entropy": 5.381856250762939,
+      "epoch": 3.8980944490472247,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038653926180632665,
+      "loss": 5.1165,
+      "mean_token_accuracy": 0.18321423530578612,
+      "num_tokens": 8576680.0,
+      "step": 4705
+    },
+    {
+      "entropy": 5.495894527435302,
+      "epoch": 3.902236951118476,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00038626162229098257,
+      "loss": 5.2631,
+      "mean_token_accuracy": 0.16617788672447203,
+      "num_tokens": 8585539.0,
+      "step": 4710
+    },
+    {
+      "entropy": 5.400326347351074,
+      "epoch": 3.9063794531897265,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003859837583487877,
+      "loss": 5.1007,
+      "mean_token_accuracy": 0.18613590002059938,
+      "num_tokens": 8593598.0,
+      "step": 4715
+    },
+    {
+      "entropy": 5.4148589134216305,
+      "epoch": 3.9105219552609776,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003857056705402241,
+      "loss": 5.236,
+      "mean_token_accuracy": 0.1721765860915184,
+      "num_tokens": 8603440.0,
+      "step": 4720
+    },
+    {
+      "entropy": 5.384281969070434,
+      "epoch": 3.9146644573322287,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003854273594262253,
+      "loss": 5.0591,
+      "mean_token_accuracy": 0.1858549162745476,
+      "num_tokens": 8612490.0,
+      "step": 4725
+    },
+    {
+      "entropy": 5.387153816223145,
+      "epoch": 3.91880695940348,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003851488255681752,
+      "loss": 5.1508,
+      "mean_token_accuracy": 0.17980385273694993,
+      "num_tokens": 8621994.0,
+      "step": 4730
+    },
+    {
+      "entropy": 5.462166833877563,
+      "epoch": 3.922949461474731,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000384870069527907,
+      "loss": 5.2269,
+      "mean_token_accuracy": 0.16994049549102783,
+      "num_tokens": 8631185.0,
+      "step": 4735
+    },
+    {
+      "entropy": 5.445327711105347,
+      "epoch": 3.9270919635459816,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00038459109186770213,
+      "loss": 5.1201,
+      "mean_token_accuracy": 0.18937034606933595,
+      "num_tokens": 8639018.0,
+      "step": 4740
+    },
+    {
+      "entropy": 5.365725660324097,
+      "epoch": 3.9312344656172327,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00038431189315028905,
+      "loss": 5.1293,
+      "mean_token_accuracy": 0.1805494785308838,
+      "num_tokens": 8647672.0,
+      "step": 4745
+    },
+    {
+      "entropy": 5.42286114692688,
+      "epoch": 3.9353769676884838,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003840324739388419,
+      "loss": 5.2659,
+      "mean_token_accuracy": 0.16662627309560776,
+      "num_tokens": 8656638.0,
+      "step": 4750
+    },
+    {
+      "entropy": 5.4803203582763675,
+      "epoch": 3.939519469759735,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00038375283479698,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.18231208473443986,
+      "num_tokens": 8666167.0,
+      "step": 4755
+    },
+    {
+      "entropy": 5.505121231079102,
+      "epoch": 3.943661971830986,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003834729762887659,
+      "loss": 5.3067,
+      "mean_token_accuracy": 0.16447765678167342,
+      "num_tokens": 8676435.0,
+      "step": 4760
+    },
+    {
+      "entropy": 5.413615751266479,
+      "epoch": 3.947804473902237,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003831928989787049,
+      "loss": 5.1808,
+      "mean_token_accuracy": 0.18012969940900803,
+      "num_tokens": 8686011.0,
+      "step": 4765
+    },
+    {
+      "entropy": 5.463970613479614,
+      "epoch": 3.951946975973488,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003829126034317435,
+      "loss": 5.1959,
+      "mean_token_accuracy": 0.17213619947433473,
+      "num_tokens": 8695063.0,
+      "step": 4770
+    },
+    {
+      "entropy": 5.517300796508789,
+      "epoch": 3.956089478044739,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003826320902132684,
+      "loss": 5.299,
+      "mean_token_accuracy": 0.16880902647972107,
+      "num_tokens": 8704585.0,
+      "step": 4775
+    },
+    {
+      "entropy": 5.469470262527466,
+      "epoch": 3.96023198011599,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038235135988910545,
+      "loss": 5.2111,
+      "mean_token_accuracy": 0.17501715570688248,
+      "num_tokens": 8714097.0,
+      "step": 4780
+    },
+    {
+      "entropy": 5.433980226516724,
+      "epoch": 3.964374482187241,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00038207041302551844,
+      "loss": 5.1327,
+      "mean_token_accuracy": 0.1802523225545883,
+      "num_tokens": 8722890.0,
+      "step": 4785
+    },
+    {
+      "entropy": 5.36038613319397,
+      "epoch": 3.968516984258492,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003817892501892078,
+      "loss": 5.1474,
+      "mean_token_accuracy": 0.18226009160280227,
+      "num_tokens": 8732046.0,
+      "step": 4790
+    },
+    {
+      "entropy": 5.385818529129028,
+      "epoch": 3.9726594863297433,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038150787194730977,
+      "loss": 5.1867,
+      "mean_token_accuracy": 0.18098812699317932,
+      "num_tokens": 8741750.0,
+      "step": 4795
+    },
+    {
+      "entropy": 5.49769434928894,
+      "epoch": 3.976801988400994,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000381226278867395,
+      "loss": 5.1585,
+      "mean_token_accuracy": 0.17722393125295638,
+      "num_tokens": 8750141.0,
+      "step": 4800
+    },
+    {
+      "entropy": 5.3994584560394285,
+      "epoch": 3.980944490472245,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00038094447151746746,
+      "loss": 5.0956,
+      "mean_token_accuracy": 0.18723244071006775,
+      "num_tokens": 8758567.0,
+      "step": 4805
+    },
+    {
+      "entropy": 5.376461982727051,
+      "epoch": 3.985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003806624504659635,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1782562255859375,
+      "num_tokens": 8767829.0,
+      "step": 4810
+    },
+    {
+      "entropy": 5.416551733016968,
+      "epoch": 3.9892294946147473,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003803802162817503,
+      "loss": 5.0891,
+      "mean_token_accuracy": 0.18413031548261644,
+      "num_tokens": 8776911.0,
+      "step": 4815
+    },
+    {
+      "entropy": 5.403548002243042,
+      "epoch": 3.9933719966859984,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000380097769534125,
+      "loss": 5.2011,
+      "mean_token_accuracy": 0.18309975266456605,
+      "num_tokens": 8786117.0,
+      "step": 4820
+    },
+    {
+      "entropy": 5.401311016082763,
+      "epoch": 3.9975144987572495,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003798151107928136,
+      "loss": 5.1436,
+      "mean_token_accuracy": 0.18381998240947722,
+      "num_tokens": 8795647.0,
+      "step": 4825
+    },
+    {
+      "entropy": 5.363515567779541,
+      "epoch": 4.001657000828501,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00037953224062796967,
+      "loss": 5.1114,
+      "mean_token_accuracy": 0.18405449539422988,
+      "num_tokens": 8803480.0,
+      "step": 4830
+    },
+    {
+      "entropy": 5.504069137573242,
+      "epoch": 4.005799502899752,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003792491596101733,
+      "loss": 4.9454,
+      "mean_token_accuracy": 0.19255731254816055,
+      "num_tokens": 8812825.0,
+      "step": 4835
+    },
+    {
+      "entropy": 5.45196304321289,
+      "epoch": 4.009942004971003,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003789658683104298,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19097152799367906,
+      "num_tokens": 8821911.0,
+      "step": 4840
+    },
+    {
+      "entropy": 5.429521989822388,
+      "epoch": 4.014084507042254,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037868236730016866,
+      "loss": 4.9518,
+      "mean_token_accuracy": 0.18948255032300948,
+      "num_tokens": 8830691.0,
+      "step": 4845
+    },
+    {
+      "entropy": 5.400455188751221,
+      "epoch": 4.018227009113504,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037839865715124234,
+      "loss": 4.9281,
+      "mean_token_accuracy": 0.19010053426027299,
+      "num_tokens": 8840410.0,
+      "step": 4850
+    },
+    {
+      "entropy": 5.374143838882446,
+      "epoch": 4.022369511184755,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00037811473843592534,
+      "loss": 4.9042,
+      "mean_token_accuracy": 0.19410175532102586,
+      "num_tokens": 8849662.0,
+      "step": 4855
+    },
+    {
+      "entropy": 5.4465690612792965,
+      "epoch": 4.026512013256006,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00037783061172691273,
+      "loss": 4.8985,
+      "mean_token_accuracy": 0.19412659406661986,
+      "num_tokens": 8858666.0,
+      "step": 4860
+    },
+    {
+      "entropy": 5.497456216812134,
+      "epoch": 4.0306545153272575,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003775462775973191,
+      "loss": 4.9611,
+      "mean_token_accuracy": 0.1847592905163765,
+      "num_tokens": 8867885.0,
+      "step": 4865
+    },
+    {
+      "entropy": 5.351856470108032,
+      "epoch": 4.034797017398509,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003772617366206773,
+      "loss": 4.9175,
+      "mean_token_accuracy": 0.19424951672554017,
+      "num_tokens": 8877458.0,
+      "step": 4870
+    },
+    {
+      "entropy": 5.363556432723999,
+      "epoch": 4.03893951946976,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037697698937093783,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.18704084753990174,
+      "num_tokens": 8886995.0,
+      "step": 4875
+    },
+    {
+      "entropy": 5.463095617294312,
+      "epoch": 4.043082021541011,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00037669203642246685,
+      "loss": 5.026,
+      "mean_token_accuracy": 0.18413490056991577,
+      "num_tokens": 8895224.0,
+      "step": 4880
+    },
+    {
+      "entropy": 5.4529016494750975,
+      "epoch": 4.047224523612262,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00037640687835004567,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.1925043895840645,
+      "num_tokens": 8905216.0,
+      "step": 4885
+    },
+    {
+      "entropy": 5.426698875427246,
+      "epoch": 4.051367025683513,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003761215157288692,
+      "loss": 4.9558,
+      "mean_token_accuracy": 0.19299548715353013,
+      "num_tokens": 8915493.0,
+      "step": 4890
+    },
+    {
+      "entropy": 5.362393617630005,
+      "epoch": 4.055509527754764,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00037583594913454514,
+      "loss": 4.925,
+      "mean_token_accuracy": 0.1959809884428978,
+      "num_tokens": 8924740.0,
+      "step": 4895
+    },
+    {
+      "entropy": 5.42564959526062,
+      "epoch": 4.059652029826015,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003755501791430925,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.18527257889509202,
+      "num_tokens": 8934726.0,
+      "step": 4900
+    },
+    {
+      "entropy": 5.448423719406128,
+      "epoch": 4.063794531897266,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00037526420633094044,
+      "loss": 4.9581,
+      "mean_token_accuracy": 0.18748125433921814,
+      "num_tokens": 8944301.0,
+      "step": 4905
+    },
+    {
+      "entropy": 5.449982643127441,
+      "epoch": 4.067937033968517,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037497803127492757,
+      "loss": 4.9881,
+      "mean_token_accuracy": 0.19187170565128325,
+      "num_tokens": 8953967.0,
+      "step": 4910
+    },
+    {
+      "entropy": 5.326543855667114,
+      "epoch": 4.072079536039768,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003746916545523001,
+      "loss": 4.8948,
+      "mean_token_accuracy": 0.19177066087722777,
+      "num_tokens": 8962983.0,
+      "step": 4915
+    },
+    {
+      "entropy": 5.381871175765991,
+      "epoch": 4.076222038111019,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003744050767407113,
+      "loss": 5.0191,
+      "mean_token_accuracy": 0.18154184073209761,
+      "num_tokens": 8972019.0,
+      "step": 4920
+    },
+    {
+      "entropy": 5.40556058883667,
+      "epoch": 4.08036454018227,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0003741182984182198,
+      "loss": 4.901,
+      "mean_token_accuracy": 0.20234887301921844,
+      "num_tokens": 8981751.0,
+      "step": 4925
+    },
+    {
+      "entropy": 5.3616517066955565,
+      "epoch": 4.084507042253521,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003738313201632889,
+      "loss": 4.8923,
+      "mean_token_accuracy": 0.19780989587306977,
+      "num_tokens": 8990330.0,
+      "step": 4930
+    },
+    {
+      "entropy": 5.314311408996582,
+      "epoch": 4.088649544324772,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003735441425547851,
+      "loss": 4.905,
+      "mean_token_accuracy": 0.19072338491678237,
+      "num_tokens": 8998366.0,
+      "step": 4935
+    },
+    {
+      "entropy": 5.290538501739502,
+      "epoch": 4.092792046396023,
+      "grad_norm": 1.828125,
+      "learning_rate": 0.00037325676617197697,
+      "loss": 4.8317,
+      "mean_token_accuracy": 0.20186650305986403,
+      "num_tokens": 9006881.0,
+      "step": 4940
+    },
+    {
+      "entropy": 5.323595571517944,
+      "epoch": 4.096934548467274,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0003729691915945342,
+      "loss": 4.8944,
+      "mean_token_accuracy": 0.19853760153055192,
+      "num_tokens": 9015415.0,
+      "step": 4945
+    },
+    {
+      "entropy": 5.40374059677124,
+      "epoch": 4.1010770505385254,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000372681419402526,
+      "loss": 4.9483,
+      "mean_token_accuracy": 0.19546929001808167,
+      "num_tokens": 9024578.0,
+      "step": 4950
+    },
+    {
+      "entropy": 5.381409311294556,
+      "epoch": 4.105219552609777,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003723934501764203,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.1867024227976799,
+      "num_tokens": 9032637.0,
+      "step": 4955
+    },
+    {
+      "entropy": 5.395318984985352,
+      "epoch": 4.109362054681028,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0003721052844970826,
+      "loss": 4.8913,
+      "mean_token_accuracy": 0.18718749284744263,
+      "num_tokens": 9041513.0,
+      "step": 4960
+    },
+    {
+      "entropy": 5.394489192962647,
+      "epoch": 4.113504556752279,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00037181692294577457,
+      "loss": 4.9155,
+      "mean_token_accuracy": 0.1854037255048752,
+      "num_tokens": 9051024.0,
+      "step": 4965
+    },
+    {
+      "entropy": 5.33848295211792,
+      "epoch": 4.117647058823529,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037152836610415284,
+      "loss": 4.8895,
+      "mean_token_accuracy": 0.19274405539035797,
+      "num_tokens": 9059494.0,
+      "step": 4970
+    },
+    {
+      "entropy": 5.31979193687439,
+      "epoch": 4.12178956089478,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00037123961455426836,
+      "loss": 4.7988,
+      "mean_token_accuracy": 0.19865831583738328,
+      "num_tokens": 9068166.0,
+      "step": 4975
+    },
+    {
+      "entropy": 5.391095542907715,
+      "epoch": 4.125932062966031,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00037095066887856434,
+      "loss": 4.907,
+      "mean_token_accuracy": 0.19333944320678711,
+      "num_tokens": 9077283.0,
+      "step": 4980
+    },
+    {
+      "entropy": 5.3755443572998045,
+      "epoch": 4.130074565037282,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003706615296598758,
+      "loss": 4.9332,
+      "mean_token_accuracy": 0.19493403136730195,
+      "num_tokens": 9086605.0,
+      "step": 4985
+    },
+    {
+      "entropy": 5.301020622253418,
+      "epoch": 4.134217067108533,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003703721974814282,
+      "loss": 4.9169,
+      "mean_token_accuracy": 0.19399153292179108,
+      "num_tokens": 9095567.0,
+      "step": 4990
+    },
+    {
+      "entropy": 5.282594537734985,
+      "epoch": 4.1383595691797845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00037008267292683615,
+      "loss": 4.9012,
+      "mean_token_accuracy": 0.19265301078557967,
+      "num_tokens": 9104457.0,
+      "step": 4995
+    },
+    {
+      "entropy": 5.398877716064453,
+      "epoch": 4.142502071251036,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036979295658010227,
+      "loss": 4.9533,
+      "mean_token_accuracy": 0.20162091553211212,
+      "num_tokens": 9113945.0,
+      "step": 5000
+    },
+    {
+      "epoch": 4.142502071251036,
+      "eval_entropy": 5.273210916946184,
+      "eval_loss": 5.83656120300293,
+      "eval_mean_token_accuracy": 0.15772452866281272,
+      "eval_num_tokens": 9113945.0,
+      "eval_runtime": 2.9415,
+      "eval_samples_per_second": 1273.844,
+      "eval_steps_per_second": 159.443,
+      "step": 5000
+    },
+    {
+      "entropy": 5.424594402313232,
+      "epoch": 4.146644573322287,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003695030490256161,
+      "loss": 5.0303,
+      "mean_token_accuracy": 0.18944208920001984,
+      "num_tokens": 9122996.0,
+      "step": 5005
+    },
+    {
+      "entropy": 5.355675983428955,
+      "epoch": 4.150787075393538,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000369212950848153,
+      "loss": 4.8793,
+      "mean_token_accuracy": 0.1962927296757698,
+      "num_tokens": 9132079.0,
+      "step": 5010
+    },
+    {
+      "entropy": 5.384340238571167,
+      "epoch": 4.154929577464789,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003689226626328725,
+      "loss": 5.0058,
+      "mean_token_accuracy": 0.19004727751016617,
+      "num_tokens": 9141335.0,
+      "step": 5015
+    },
+    {
+      "entropy": 5.442283582687378,
+      "epoch": 4.15907207953604,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00036863218496531767,
+      "loss": 5.0264,
+      "mean_token_accuracy": 0.18990386426448821,
+      "num_tokens": 9150049.0,
+      "step": 5020
+    },
+    {
+      "entropy": 5.409811115264892,
+      "epoch": 4.163214581607291,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003683415184314139,
+      "loss": 4.9057,
+      "mean_token_accuracy": 0.19072521328926087,
+      "num_tokens": 9159245.0,
+      "step": 5025
+    },
+    {
+      "entropy": 5.281745195388794,
+      "epoch": 4.167357083678542,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00036805066361746716,
+      "loss": 4.9432,
+      "mean_token_accuracy": 0.19057238101959229,
+      "num_tokens": 9167892.0,
+      "step": 5030
+    },
+    {
+      "entropy": 5.262811374664307,
+      "epoch": 4.1714995857497925,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036775962111016346,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.19675376862287522,
+      "num_tokens": 9176067.0,
+      "step": 5035
+    },
+    {
+      "entropy": 5.335107898712158,
+      "epoch": 4.175642087821044,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036746839149656734,
+      "loss": 4.9032,
+      "mean_token_accuracy": 0.19636716991662978,
+      "num_tokens": 9185318.0,
+      "step": 5040
+    },
+    {
+      "entropy": 5.338614749908447,
+      "epoch": 4.179784589892295,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003671769753641207,
+      "loss": 4.9605,
+      "mean_token_accuracy": 0.19530149400234223,
+      "num_tokens": 9194885.0,
+      "step": 5045
+    },
+    {
+      "entropy": 5.349650192260742,
+      "epoch": 4.183927091963546,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00036688537330064187,
+      "loss": 4.987,
+      "mean_token_accuracy": 0.19436514377593994,
+      "num_tokens": 9203906.0,
+      "step": 5050
+    },
+    {
+      "entropy": 5.318757629394531,
+      "epoch": 4.188069594034797,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000366593585894324,
+      "loss": 4.8507,
+      "mean_token_accuracy": 0.2013680413365364,
+      "num_tokens": 9213351.0,
+      "step": 5055
+    },
+    {
+      "entropy": 5.347932624816894,
+      "epoch": 4.192212096106048,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003663016137337341,
+      "loss": 4.9278,
+      "mean_token_accuracy": 0.18784158080816268,
+      "num_tokens": 9222191.0,
+      "step": 5060
+    },
+    {
+      "entropy": 5.372864198684693,
+      "epoch": 4.196354598177299,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00036600945740781197,
+      "loss": 4.9668,
+      "mean_token_accuracy": 0.1919815331697464,
+      "num_tokens": 9231517.0,
+      "step": 5065
+    },
+    {
+      "entropy": 5.393643712997436,
+      "epoch": 4.20049710024855,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036571711750586896,
+      "loss": 4.9891,
+      "mean_token_accuracy": 0.19960682690143586,
+      "num_tokens": 9241208.0,
+      "step": 5070
+    },
+    {
+      "entropy": 5.391959381103516,
+      "epoch": 4.204639602319801,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003654245946175864,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19324131309986115,
+      "num_tokens": 9250237.0,
+      "step": 5075
+    },
+    {
+      "entropy": 5.37893590927124,
+      "epoch": 4.2087821043910525,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00036513188933301504,
+      "loss": 5.0399,
+      "mean_token_accuracy": 0.18783097416162492,
+      "num_tokens": 9260273.0,
+      "step": 5080
+    },
+    {
+      "entropy": 5.378773164749146,
+      "epoch": 4.212924606462304,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003648390022425734,
+      "loss": 4.8996,
+      "mean_token_accuracy": 0.19140231609344482,
+      "num_tokens": 9268878.0,
+      "step": 5085
+    },
+    {
+      "entropy": 5.325588417053223,
+      "epoch": 4.217067108533554,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003645459339370468,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19706592857837676,
+      "num_tokens": 9276324.0,
+      "step": 5090
+    },
+    {
+      "entropy": 5.312953901290894,
+      "epoch": 4.221209610604805,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036425268500758594,
+      "loss": 4.9725,
+      "mean_token_accuracy": 0.1936806783080101,
+      "num_tokens": 9285052.0,
+      "step": 5095
+    },
+    {
+      "entropy": 5.354986000061035,
+      "epoch": 4.225352112676056,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036395925604570614,
+      "loss": 4.8763,
+      "mean_token_accuracy": 0.20042537599802018,
+      "num_tokens": 9293324.0,
+      "step": 5100
+    },
+    {
+      "entropy": 5.3900477409362795,
+      "epoch": 4.229494614747307,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003636656476432854,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19263672083616257,
+      "num_tokens": 9302131.0,
+      "step": 5105
+    },
+    {
+      "entropy": 5.263408470153808,
+      "epoch": 4.233637116818558,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003633718603925642,
+      "loss": 4.862,
+      "mean_token_accuracy": 0.19388986378908157,
+      "num_tokens": 9311128.0,
+      "step": 5110
+    },
+    {
+      "entropy": 5.420498418807983,
+      "epoch": 4.237779618889809,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0003630778948861434,
+      "loss": 4.9352,
+      "mean_token_accuracy": 0.1895424723625183,
+      "num_tokens": 9319849.0,
+      "step": 5115
+    },
+    {
+      "entropy": 5.336805248260498,
+      "epoch": 4.2419221209610605,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003627837517169836,
+      "loss": 4.9458,
+      "mean_token_accuracy": 0.18560263216495515,
+      "num_tokens": 9328355.0,
+      "step": 5120
+    },
+    {
+      "entropy": 5.352609777450562,
+      "epoch": 4.246064623032312,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003624894314784037,
+      "loss": 4.9236,
+      "mean_token_accuracy": 0.18928787410259246,
+      "num_tokens": 9337562.0,
+      "step": 5125
+    },
+    {
+      "entropy": 5.323793935775757,
+      "epoch": 4.250207125103563,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003621949347640797,
+      "loss": 4.9315,
+      "mean_token_accuracy": 0.196185165643692,
+      "num_tokens": 9347851.0,
+      "step": 5130
+    },
+    {
+      "entropy": 5.398552274703979,
+      "epoch": 4.254349627174814,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003619002621680439,
+      "loss": 4.9325,
+      "mean_token_accuracy": 0.19673411697149276,
+      "num_tokens": 9356524.0,
+      "step": 5135
+    },
+    {
+      "entropy": 5.4241108894348145,
+      "epoch": 4.258492129246065,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003616054142846829,
+      "loss": 5.0307,
+      "mean_token_accuracy": 0.1882170706987381,
+      "num_tokens": 9365521.0,
+      "step": 5140
+    },
+    {
+      "entropy": 5.301144218444824,
+      "epoch": 4.262634631317316,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003613103917087371,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19470559656620026,
+      "num_tokens": 9374088.0,
+      "step": 5145
+    },
+    {
+      "entropy": 5.345515966415405,
+      "epoch": 4.266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003610151950352994,
+      "loss": 4.9794,
+      "mean_token_accuracy": 0.19499585926532745,
+      "num_tokens": 9382683.0,
+      "step": 5150
+    },
+    {
+      "entropy": 5.306409788131714,
+      "epoch": 4.270919635459817,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0003607198248598137,
+      "loss": 4.9063,
+      "mean_token_accuracy": 0.194849793612957,
+      "num_tokens": 9391790.0,
+      "step": 5155
+    },
+    {
+      "entropy": 5.414876556396484,
+      "epoch": 4.2750621375310685,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003604242817780739,
+      "loss": 4.9901,
+      "mean_token_accuracy": 0.19321189671754838,
+      "num_tokens": 9400234.0,
+      "step": 5160
+    },
+    {
+      "entropy": 5.350374364852906,
+      "epoch": 4.27920463960232,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036012856638622273,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19192621409893035,
+      "num_tokens": 9409513.0,
+      "step": 5165
+    },
+    {
+      "entropy": 5.292260932922363,
+      "epoch": 4.283347141673571,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003598326792807504,
+      "loss": 4.9821,
+      "mean_token_accuracy": 0.18258902430534363,
+      "num_tokens": 9418608.0,
+      "step": 5170
+    },
+    {
+      "entropy": 5.427756977081299,
+      "epoch": 4.287489643744822,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00035953662105849357,
+      "loss": 5.0092,
+      "mean_token_accuracy": 0.19452760964632035,
+      "num_tokens": 9428705.0,
+      "step": 5175
+    },
+    {
+      "entropy": 5.3185462474823,
+      "epoch": 4.291632145816073,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000359240392316634,
+      "loss": 4.9177,
+      "mean_token_accuracy": 0.18542011678218842,
+      "num_tokens": 9438149.0,
+      "step": 5180
+    },
+    {
+      "entropy": 5.330511379241943,
+      "epoch": 4.295774647887324,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003589439936526974,
+      "loss": 4.8709,
+      "mean_token_accuracy": 0.19628295600414275,
+      "num_tokens": 9447566.0,
+      "step": 5185
+    },
+    {
+      "entropy": 5.303903436660766,
+      "epoch": 4.299917149958575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003586474256645525,
+      "loss": 4.9641,
+      "mean_token_accuracy": 0.1915314257144928,
+      "num_tokens": 9458156.0,
+      "step": 5190
+    },
+    {
+      "entropy": 5.410308837890625,
+      "epoch": 4.304059652029826,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035835068895040905,
+      "loss": 5.0014,
+      "mean_token_accuracy": 0.19137390553951264,
+      "num_tokens": 9467388.0,
+      "step": 5195
+    },
+    {
+      "entropy": 5.388073253631592,
+      "epoch": 4.308202154101077,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00035805378410881753,
+      "loss": 4.9642,
+      "mean_token_accuracy": 0.1940509021282196,
+      "num_tokens": 9477515.0,
+      "step": 5200
+    },
+    {
+      "entropy": 5.389194107055664,
+      "epoch": 4.312344656172328,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003577567117386675,
+      "loss": 4.9854,
+      "mean_token_accuracy": 0.1937498316168785,
+      "num_tokens": 9485851.0,
+      "step": 5205
+    },
+    {
+      "entropy": 5.377271747589111,
+      "epoch": 4.3164871582435795,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003574594724391863,
+      "loss": 4.9773,
+      "mean_token_accuracy": 0.18631901144981383,
+      "num_tokens": 9495523.0,
+      "step": 5210
+    },
+    {
+      "entropy": 5.303675985336303,
+      "epoch": 4.32062966031483,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003571620668099382,
+      "loss": 4.9104,
+      "mean_token_accuracy": 0.19740363359451293,
+      "num_tokens": 9504195.0,
+      "step": 5215
+    },
+    {
+      "entropy": 5.377063655853272,
+      "epoch": 4.324772162386081,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003568644954508227,
+      "loss": 4.9616,
+      "mean_token_accuracy": 0.1940310388803482,
+      "num_tokens": 9513313.0,
+      "step": 5220
+    },
+    {
+      "entropy": 5.400073862075805,
+      "epoch": 4.328914664457332,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003565667589620739,
+      "loss": 5.0313,
+      "mean_token_accuracy": 0.18615816980600358,
+      "num_tokens": 9522387.0,
+      "step": 5225
+    },
+    {
+      "entropy": 5.380652332305909,
+      "epoch": 4.333057166528583,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003562688579442588,
+      "loss": 4.9582,
+      "mean_token_accuracy": 0.1893748164176941,
+      "num_tokens": 9531522.0,
+      "step": 5230
+    },
+    {
+      "entropy": 5.349949216842651,
+      "epoch": 4.337199668599834,
+      "grad_norm": 1.6171875,
+      "learning_rate": 0.00035597079299827625,
+      "loss": 4.9875,
+      "mean_token_accuracy": 0.18508986830711366,
+      "num_tokens": 9540248.0,
+      "step": 5235
+    },
+    {
+      "entropy": 5.3083008289337155,
+      "epoch": 4.341342170671085,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035567256472535585,
+      "loss": 4.9192,
+      "mean_token_accuracy": 0.19538334757089615,
+      "num_tokens": 9549850.0,
+      "step": 5240
+    },
+    {
+      "entropy": 5.325525283813477,
+      "epoch": 4.345484672742336,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003553741737270566,
+      "loss": 4.9167,
+      "mean_token_accuracy": 0.19581695050001144,
+      "num_tokens": 9558929.0,
+      "step": 5245
+    },
+    {
+      "entropy": 5.291470670700074,
+      "epoch": 4.3496271748135875,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00035507562060526574,
+      "loss": 4.9163,
+      "mean_token_accuracy": 0.19085376411676408,
+      "num_tokens": 9567627.0,
+      "step": 5250
+    },
+    {
+      "entropy": 5.419774055480957,
+      "epoch": 4.353769676884839,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035477690596219763,
+      "loss": 5.0513,
+      "mean_token_accuracy": 0.18172826021909713,
+      "num_tokens": 9576223.0,
+      "step": 5255
+    },
+    {
+      "entropy": 5.422041416168213,
+      "epoch": 4.35791217895609,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00035447803040039225,
+      "loss": 5.0178,
+      "mean_token_accuracy": 0.1885324940085411,
+      "num_tokens": 9585510.0,
+      "step": 5260
+    },
+    {
+      "entropy": 5.344962453842163,
+      "epoch": 4.362054681027341,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003541789945227143,
+      "loss": 4.9361,
+      "mean_token_accuracy": 0.1920488640666008,
+      "num_tokens": 9594843.0,
+      "step": 5265
+    },
+    {
+      "entropy": 5.401527786254883,
+      "epoch": 4.366197183098592,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00035387979893235184,
+      "loss": 4.9467,
+      "mean_token_accuracy": 0.19816664457321168,
+      "num_tokens": 9604142.0,
+      "step": 5270
+    },
+    {
+      "entropy": 5.339557313919068,
+      "epoch": 4.370339685169842,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003535804442328151,
+      "loss": 4.994,
+      "mean_token_accuracy": 0.197935588657856,
+      "num_tokens": 9613669.0,
+      "step": 5275
+    },
+    {
+      "entropy": 5.395236444473267,
+      "epoch": 4.374482187241093,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00035328093102793506,
+      "loss": 4.9843,
+      "mean_token_accuracy": 0.19234263002872468,
+      "num_tokens": 9623502.0,
+      "step": 5280
+    },
+    {
+      "entropy": 5.377492380142212,
+      "epoch": 4.378624689312344,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035298125992186283,
+      "loss": 4.9784,
+      "mean_token_accuracy": 0.1910512089729309,
+      "num_tokens": 9632041.0,
+      "step": 5285
+    },
+    {
+      "entropy": 5.310422706604004,
+      "epoch": 4.3827671913835955,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00035268143151906764,
+      "loss": 4.9853,
+      "mean_token_accuracy": 0.18939480930566788,
+      "num_tokens": 9641442.0,
+      "step": 5290
+    },
+    {
+      "entropy": 5.356794643402099,
+      "epoch": 4.386909693454847,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00035238144642433616,
+      "loss": 4.956,
+      "mean_token_accuracy": 0.19045386761426925,
+      "num_tokens": 9650857.0,
+      "step": 5295
+    },
+    {
+      "entropy": 5.461606073379516,
+      "epoch": 4.391052195526098,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000352081305242771,
+      "loss": 4.9906,
+      "mean_token_accuracy": 0.1938766911625862,
+      "num_tokens": 9659173.0,
+      "step": 5300
+    },
+    {
+      "entropy": 5.355851411819458,
+      "epoch": 4.395194697597349,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035178100857978994,
+      "loss": 4.9344,
+      "mean_token_accuracy": 0.19574909955263137,
+      "num_tokens": 9668114.0,
+      "step": 5305
+    },
+    {
+      "entropy": 5.261717939376831,
+      "epoch": 4.3993371996686,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00035148055704112405,
+      "loss": 4.9927,
+      "mean_token_accuracy": 0.1930756837129593,
+      "num_tokens": 9676628.0,
+      "step": 5310
+    },
+    {
+      "entropy": 5.305881071090698,
+      "epoch": 4.403479701739851,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003511799512328168,
+      "loss": 4.8897,
+      "mean_token_accuracy": 0.19723279178142547,
+      "num_tokens": 9685801.0,
+      "step": 5315
+    },
+    {
+      "entropy": 5.3678816795349125,
+      "epoch": 4.407622203811102,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003508791917612232,
+      "loss": 4.9677,
+      "mean_token_accuracy": 0.18847441226243972,
+      "num_tokens": 9694237.0,
+      "step": 5320
+    },
+    {
+      "entropy": 5.357159948348999,
+      "epoch": 4.411764705882353,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00035057827923300785,
+      "loss": 4.887,
+      "mean_token_accuracy": 0.1993523895740509,
+      "num_tokens": 9701904.0,
+      "step": 5325
+    },
+    {
+      "entropy": 5.308569765090942,
+      "epoch": 4.415907207953604,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035027721425514414,
+      "loss": 4.8661,
+      "mean_token_accuracy": 0.20139306634664536,
+      "num_tokens": 9710784.0,
+      "step": 5330
+    },
+    {
+      "entropy": 5.310255718231201,
+      "epoch": 4.4200497100248555,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003499759974349131,
+      "loss": 4.9969,
+      "mean_token_accuracy": 0.19186950027942656,
+      "num_tokens": 9720452.0,
+      "step": 5335
+    },
+    {
+      "entropy": 5.335639381408692,
+      "epoch": 4.424192212096106,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00034967462937990194,
+      "loss": 4.9619,
+      "mean_token_accuracy": 0.18502581119537354,
+      "num_tokens": 9729122.0,
+      "step": 5340
+    },
+    {
+      "entropy": 5.414971780776978,
+      "epoch": 4.428334714167357,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000349373110698003,
+      "loss": 5.0216,
+      "mean_token_accuracy": 0.18420466929674148,
+      "num_tokens": 9738756.0,
+      "step": 5345
+    },
+    {
+      "entropy": 5.406450796127319,
+      "epoch": 4.432477216238608,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003490714419974124,
+      "loss": 5.0113,
+      "mean_token_accuracy": 0.1904602199792862,
+      "num_tokens": 9748547.0,
+      "step": 5350
+    },
+    {
+      "entropy": 5.358873558044434,
+      "epoch": 4.436619718309859,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034876962388662885,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.18162461519241332,
+      "num_tokens": 9758421.0,
+      "step": 5355
+    },
+    {
+      "entropy": 5.277571201324463,
+      "epoch": 4.44076222038111,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003484676569744525,
+      "loss": 4.8563,
+      "mean_token_accuracy": 0.19333565086126328,
+      "num_tokens": 9766855.0,
+      "step": 5360
+    },
+    {
+      "entropy": 5.348770189285278,
+      "epoch": 4.444904722452361,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003481655418699836,
+      "loss": 4.9589,
+      "mean_token_accuracy": 0.1960444375872612,
+      "num_tokens": 9776157.0,
+      "step": 5365
+    },
+    {
+      "entropy": 5.279411029815674,
+      "epoch": 4.449047224523612,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00034786327918262126,
+      "loss": 4.8489,
+      "mean_token_accuracy": 0.2087496116757393,
+      "num_tokens": 9784386.0,
+      "step": 5370
+    },
+    {
+      "entropy": 5.354473733901978,
+      "epoch": 4.4531897265948635,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00034756086952206255,
+      "loss": 4.9009,
+      "mean_token_accuracy": 0.1958460658788681,
+      "num_tokens": 9793838.0,
+      "step": 5375
+    },
+    {
+      "entropy": 5.353402185440063,
+      "epoch": 4.457332228666115,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003472583134983005,
+      "loss": 4.9971,
+      "mean_token_accuracy": 0.19221619367599488,
+      "num_tokens": 9802595.0,
+      "step": 5380
+    },
+    {
+      "entropy": 5.384884357452393,
+      "epoch": 4.461474730737366,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00034695561172162396,
+      "loss": 4.9775,
+      "mean_token_accuracy": 0.19024742841720582,
+      "num_tokens": 9811309.0,
+      "step": 5385
+    },
+    {
+      "entropy": 5.2829090595245365,
+      "epoch": 4.465617232808617,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00034665276480261526,
+      "loss": 4.9139,
+      "mean_token_accuracy": 0.1915873184800148,
+      "num_tokens": 9820327.0,
+      "step": 5390
+    },
+    {
+      "entropy": 5.351649951934815,
+      "epoch": 4.469759734879867,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003463497733521499,
+      "loss": 4.9852,
+      "mean_token_accuracy": 0.18354866653680801,
+      "num_tokens": 9829588.0,
+      "step": 5395
+    },
+    {
+      "entropy": 5.42580213546753,
+      "epoch": 4.473902236951118,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003460466379813947,
+      "loss": 4.9887,
+      "mean_token_accuracy": 0.18973219394683838,
+      "num_tokens": 9838548.0,
+      "step": 5400
+    },
+    {
+      "entropy": 5.335280847549439,
+      "epoch": 4.478044739022369,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003457433593018068,
+      "loss": 5.0018,
+      "mean_token_accuracy": 0.18838239908218385,
+      "num_tokens": 9847925.0,
+      "step": 5405
+    },
+    {
+      "entropy": 5.396121597290039,
+      "epoch": 4.48218724109362,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034543993792513243,
+      "loss": 5.0169,
+      "mean_token_accuracy": 0.18753209412097932,
+      "num_tokens": 9856839.0,
+      "step": 5410
+    },
+    {
+      "entropy": 5.37349534034729,
+      "epoch": 4.486329743164871,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003451363744634057,
+      "loss": 4.978,
+      "mean_token_accuracy": 0.19382779747247697,
+      "num_tokens": 9866519.0,
+      "step": 5415
+    },
+    {
+      "entropy": 5.430073976516724,
+      "epoch": 4.4904722452361225,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00034483266952894725,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.19110478311777115,
+      "num_tokens": 9876866.0,
+      "step": 5420
+    },
+    {
+      "entropy": 5.440963220596314,
+      "epoch": 4.494614747307374,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0003445288237343632,
+      "loss": 5.0042,
+      "mean_token_accuracy": 0.1870105817914009,
+      "num_tokens": 9884639.0,
+      "step": 5425
+    },
+    {
+      "entropy": 5.332541465759277,
+      "epoch": 4.498757249378625,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003442248376925436,
+      "loss": 4.9715,
+      "mean_token_accuracy": 0.1879585549235344,
+      "num_tokens": 9893819.0,
+      "step": 5430
+    },
+    {
+      "entropy": 5.251445341110229,
+      "epoch": 4.502899751449876,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00034392071201666167,
+      "loss": 4.9164,
+      "mean_token_accuracy": 0.19130610078573226,
+      "num_tokens": 9902419.0,
+      "step": 5435
+    },
+    {
+      "entropy": 5.390727472305298,
+      "epoch": 4.507042253521127,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000343616447320172,
+      "loss": 4.9565,
+      "mean_token_accuracy": 0.19780462980270386,
+      "num_tokens": 9912434.0,
+      "step": 5440
+    },
+    {
+      "entropy": 5.366470289230347,
+      "epoch": 4.511184755592378,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003433120442168097,
+      "loss": 4.9114,
+      "mean_token_accuracy": 0.193550705909729,
+      "num_tokens": 9921800.0,
+      "step": 5445
+    },
+    {
+      "entropy": 5.316132354736328,
+      "epoch": 4.515327257663629,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034300750332058924,
+      "loss": 4.9803,
+      "mean_token_accuracy": 0.18861733824014665,
+      "num_tokens": 9930863.0,
+      "step": 5450
+    },
+    {
+      "entropy": 5.340768337249756,
+      "epoch": 4.51946975973488,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003427028252458028,
+      "loss": 4.995,
+      "mean_token_accuracy": 0.1959969326853752,
+      "num_tokens": 9940524.0,
+      "step": 5455
+    },
+    {
+      "entropy": 5.398335361480713,
+      "epoch": 4.5236122618061305,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.0003423980106070194,
+      "loss": 4.98,
+      "mean_token_accuracy": 0.18993111699819565,
+      "num_tokens": 9948949.0,
+      "step": 5460
+    },
+    {
+      "entropy": 5.363409519195557,
+      "epoch": 4.527754763877382,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003420930600190834,
+      "loss": 5.0007,
+      "mean_token_accuracy": 0.18487946093082427,
+      "num_tokens": 9958154.0,
+      "step": 5465
+    },
+    {
+      "entropy": 5.353360748291015,
+      "epoch": 4.531897265948633,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003417879740971135,
+      "loss": 4.8917,
+      "mean_token_accuracy": 0.19643958359956742,
+      "num_tokens": 9967023.0,
+      "step": 5470
+    },
+    {
+      "entropy": 5.392623519897461,
+      "epoch": 4.536039768019884,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003414827534565014,
+      "loss": 4.9908,
+      "mean_token_accuracy": 0.18982938379049302,
+      "num_tokens": 9976596.0,
+      "step": 5475
+    },
+    {
+      "entropy": 5.358148193359375,
+      "epoch": 4.540182270091135,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00034117739871291036,
+      "loss": 4.8992,
+      "mean_token_accuracy": 0.19934887886047364,
+      "num_tokens": 9985330.0,
+      "step": 5480
+    },
+    {
+      "entropy": 5.35659613609314,
+      "epoch": 4.544324772162386,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00034087191048227445,
+      "loss": 5.032,
+      "mean_token_accuracy": 0.1861831620335579,
+      "num_tokens": 9996053.0,
+      "step": 5485
+    },
+    {
+      "entropy": 5.335864496231079,
+      "epoch": 4.548467274233637,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003405662893807967,
+      "loss": 4.9445,
+      "mean_token_accuracy": 0.1877502605319023,
+      "num_tokens": 10005517.0,
+      "step": 5490
+    },
+    {
+      "entropy": 5.389253044128418,
+      "epoch": 4.552609776304888,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003402605360249482,
+      "loss": 5.0416,
+      "mean_token_accuracy": 0.18830080330371857,
+      "num_tokens": 10014354.0,
+      "step": 5495
+    },
+    {
+      "entropy": 5.3128773212432865,
+      "epoch": 4.556752278376139,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000339954651031467,
+      "loss": 4.9238,
+      "mean_token_accuracy": 0.19178629368543626,
+      "num_tokens": 10023194.0,
+      "step": 5500
+    },
+    {
+      "epoch": 4.556752278376139,
+      "eval_entropy": 5.195640559898003,
+      "eval_loss": 5.80400276184082,
+      "eval_mean_token_accuracy": 0.15982486544323882,
+      "eval_num_tokens": 10023194.0,
+      "eval_runtime": 2.7416,
+      "eval_samples_per_second": 1366.696,
+      "eval_steps_per_second": 171.065,
+      "step": 5500
+    },
+    {
+      "entropy": 5.267048501968384,
+      "epoch": 4.5608947804473905,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00033964863501735647,
+      "loss": 4.9188,
+      "mean_token_accuracy": 0.19228280782699586,
+      "num_tokens": 10032490.0,
+      "step": 5505
+    },
+    {
+      "entropy": 5.392655229568481,
+      "epoch": 4.565037282518642,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00033934248859988453,
+      "loss": 4.9346,
+      "mean_token_accuracy": 0.19580908715724946,
+      "num_tokens": 10041613.0,
+      "step": 5510
+    },
+    {
+      "entropy": 5.262086534500122,
+      "epoch": 4.569179784589892,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003390362123965817,
+      "loss": 4.8733,
+      "mean_token_accuracy": 0.1911102056503296,
+      "num_tokens": 10050500.0,
+      "step": 5515
+    },
+    {
+      "entropy": 5.36342945098877,
+      "epoch": 4.573322286661144,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003387298070252407,
+      "loss": 4.9492,
+      "mean_token_accuracy": 0.1935834139585495,
+      "num_tokens": 10059650.0,
+      "step": 5520
+    },
+    {
+      "entropy": 5.337366104125977,
+      "epoch": 4.577464788732394,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003384232731039146,
+      "loss": 4.9844,
+      "mean_token_accuracy": 0.19709572941064835,
+      "num_tokens": 10067882.0,
+      "step": 5525
+    },
+    {
+      "entropy": 5.300627326965332,
+      "epoch": 4.581607290803645,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00033811661125091584,
+      "loss": 4.9253,
+      "mean_token_accuracy": 0.19670316576957703,
+      "num_tokens": 10077147.0,
+      "step": 5530
+    },
+    {
+      "entropy": 5.369974613189697,
+      "epoch": 4.585749792874896,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00033780982208481494,
+      "loss": 4.9829,
+      "mean_token_accuracy": 0.1897311642765999,
+      "num_tokens": 10086149.0,
+      "step": 5535
+    },
+    {
+      "entropy": 5.303711175918579,
+      "epoch": 4.589892294946147,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003375029062244392,
+      "loss": 4.9027,
+      "mean_token_accuracy": 0.20062701553106307,
+      "num_tokens": 10094997.0,
+      "step": 5540
+    },
+    {
+      "entropy": 5.461194086074829,
+      "epoch": 4.5940347970173985,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00033719586428887125,
+      "loss": 4.9635,
+      "mean_token_accuracy": 0.19236611425876618,
+      "num_tokens": 10103585.0,
+      "step": 5545
+    },
+    {
+      "entropy": 5.276572418212891,
+      "epoch": 4.59817729908865,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00033688869689744836,
+      "loss": 4.8715,
+      "mean_token_accuracy": 0.1956779330968857,
+      "num_tokens": 10113877.0,
+      "step": 5550
+    },
+    {
+      "entropy": 5.333914184570313,
+      "epoch": 4.602319801159901,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003365814046697608,
+      "loss": 4.9676,
+      "mean_token_accuracy": 0.1832288920879364,
+      "num_tokens": 10123127.0,
+      "step": 5555
+    },
+    {
+      "entropy": 5.39079098701477,
+      "epoch": 4.606462303231152,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003362739882256504,
+      "loss": 5.0347,
+      "mean_token_accuracy": 0.186669659614563,
+      "num_tokens": 10132301.0,
+      "step": 5560
+    },
+    {
+      "entropy": 5.369095230102539,
+      "epoch": 4.610604805302403,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0003359664481852099,
+      "loss": 5.0411,
+      "mean_token_accuracy": 0.18307175636291503,
+      "num_tokens": 10140985.0,
+      "step": 5565
+    },
+    {
+      "entropy": 5.309534072875977,
+      "epoch": 4.614747307373654,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00033565878516878103,
+      "loss": 4.9435,
+      "mean_token_accuracy": 0.186006298661232,
+      "num_tokens": 10149668.0,
+      "step": 5570
+    },
+    {
+      "entropy": 5.324404716491699,
+      "epoch": 4.618889809444905,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0003353509997969537,
+      "loss": 4.9982,
+      "mean_token_accuracy": 0.1883559986948967,
+      "num_tokens": 10158584.0,
+      "step": 5575
+    },
+    {
+      "entropy": 5.366722822189331,
+      "epoch": 4.623032311516155,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00033504309269056484,
+      "loss": 4.968,
+      "mean_token_accuracy": 0.19045166224241256,
+      "num_tokens": 10167657.0,
+      "step": 5580
+    },
+    {
+      "entropy": 5.274179601669312,
+      "epoch": 4.6271748135874065,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003347350644706965,
+      "loss": 4.8462,
+      "mean_token_accuracy": 0.1975993499159813,
+      "num_tokens": 10176657.0,
+      "step": 5585
+    },
+    {
+      "entropy": 5.3866353034973145,
+      "epoch": 4.631317315658658,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003344269157586754,
+      "loss": 4.9669,
+      "mean_token_accuracy": 0.19621438384056092,
+      "num_tokens": 10185132.0,
+      "step": 5590
+    },
+    {
+      "entropy": 5.304204607009888,
+      "epoch": 4.635459817729909,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00033411864717607114,
+      "loss": 4.8497,
+      "mean_token_accuracy": 0.19386404007673264,
+      "num_tokens": 10193428.0,
+      "step": 5595
+    },
+    {
+      "entropy": 5.324200677871704,
+      "epoch": 4.63960231980116,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0003338102593446951,
+      "loss": 5.0163,
+      "mean_token_accuracy": 0.18838184028863908,
+      "num_tokens": 10202549.0,
+      "step": 5600
+    },
+    {
+      "entropy": 5.341615533828735,
+      "epoch": 4.643744821872411,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00033350175288659925,
+      "loss": 4.8885,
+      "mean_token_accuracy": 0.1946927636861801,
+      "num_tokens": 10211161.0,
+      "step": 5605
+    },
+    {
+      "entropy": 5.309947538375854,
+      "epoch": 4.647887323943662,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00033319312842407483,
+      "loss": 4.9923,
+      "mean_token_accuracy": 0.18832400739192962,
+      "num_tokens": 10220988.0,
+      "step": 5610
+    },
+    {
+      "entropy": 5.2807288646698,
+      "epoch": 4.652029826014913,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003328843865796511,
+      "loss": 4.8873,
+      "mean_token_accuracy": 0.19748056083917617,
+      "num_tokens": 10229383.0,
+      "step": 5615
+    },
+    {
+      "entropy": 5.421126461029052,
+      "epoch": 4.656172328086164,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033257552797609426,
+      "loss": 4.9686,
+      "mean_token_accuracy": 0.18525946289300918,
+      "num_tokens": 10238622.0,
+      "step": 5620
+    },
+    {
+      "entropy": 5.506065034866333,
+      "epoch": 4.660314830157415,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00033226655323640553,
+      "loss": 5.0677,
+      "mean_token_accuracy": 0.18611674308776854,
+      "num_tokens": 10248201.0,
+      "step": 5625
+    },
+    {
+      "entropy": 5.445924186706543,
+      "epoch": 4.664457332228666,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000331957462983821,
+      "loss": 5.0837,
+      "mean_token_accuracy": 0.17612475752830506,
+      "num_tokens": 10258239.0,
+      "step": 5630
+    },
+    {
+      "entropy": 5.377671623229981,
+      "epoch": 4.668599834299917,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0003316482578418094,
+      "loss": 4.9675,
+      "mean_token_accuracy": 0.1935265153646469,
+      "num_tokens": 10266915.0,
+      "step": 5635
+    },
+    {
+      "entropy": 5.348722076416015,
+      "epoch": 4.672742336371169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00033133893843407126,
+      "loss": 5.0783,
+      "mean_token_accuracy": 0.18859633952379226,
+      "num_tokens": 10276826.0,
+      "step": 5640
+    },
+    {
+      "entropy": 5.327623510360718,
+      "epoch": 4.676884838442419,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00033102950538453776,
+      "loss": 4.9912,
+      "mean_token_accuracy": 0.19163501411676406,
+      "num_tokens": 10286041.0,
+      "step": 5645
+    },
+    {
+      "entropy": 5.367205619812012,
+      "epoch": 4.68102734051367,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00033071995931736897,
+      "loss": 5.0151,
+      "mean_token_accuracy": 0.19023409783840178,
+      "num_tokens": 10295258.0,
+      "step": 5650
+    },
+    {
+      "entropy": 5.404719638824463,
+      "epoch": 4.685169842584921,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00033041030085695323,
+      "loss": 4.9423,
+      "mean_token_accuracy": 0.19237637221813203,
+      "num_tokens": 10304726.0,
+      "step": 5655
+    },
+    {
+      "entropy": 5.34141435623169,
+      "epoch": 4.689312344656172,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003301005306279055,
+      "loss": 4.8745,
+      "mean_token_accuracy": 0.2018929526209831,
+      "num_tokens": 10312912.0,
+      "step": 5660
+    },
+    {
+      "entropy": 5.300086307525635,
+      "epoch": 4.693454846727423,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00032979064925506627,
+      "loss": 4.9743,
+      "mean_token_accuracy": 0.18896473944187164,
+      "num_tokens": 10322046.0,
+      "step": 5665
+    },
+    {
+      "entropy": 5.290521335601807,
+      "epoch": 4.697597348798674,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003294806573634999,
+      "loss": 4.9263,
+      "mean_token_accuracy": 0.206088125705719,
+      "num_tokens": 10331375.0,
+      "step": 5670
+    },
+    {
+      "entropy": 5.353716802597046,
+      "epoch": 4.7017398508699255,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003291705555784942,
+      "loss": 5.0624,
+      "mean_token_accuracy": 0.18850265592336654,
+      "num_tokens": 10341465.0,
+      "step": 5675
+    },
+    {
+      "entropy": 5.466339874267578,
+      "epoch": 4.705882352941177,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00032886034452555814,
+      "loss": 5.052,
+      "mean_token_accuracy": 0.18991907685995102,
+      "num_tokens": 10350137.0,
+      "step": 5680
+    },
+    {
+      "entropy": 5.3118266582489015,
+      "epoch": 4.710024855012428,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003285500248304214,
+      "loss": 4.9502,
+      "mean_token_accuracy": 0.1877942368388176,
+      "num_tokens": 10358666.0,
+      "step": 5685
+    },
+    {
+      "entropy": 5.319189500808716,
+      "epoch": 4.714167357083679,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003282395971190328,
+      "loss": 4.8375,
+      "mean_token_accuracy": 0.19829211980104447,
+      "num_tokens": 10366910.0,
+      "step": 5690
+    },
+    {
+      "entropy": 5.377291250228882,
+      "epoch": 4.71830985915493,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032792906201755876,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19080002307891847,
+      "num_tokens": 10376435.0,
+      "step": 5695
+    },
+    {
+      "entropy": 5.293179368972778,
+      "epoch": 4.72245236122618,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00032761842015238256,
+      "loss": 4.8965,
+      "mean_token_accuracy": 0.2024861231446266,
+      "num_tokens": 10384670.0,
+      "step": 5700
+    },
+    {
+      "entropy": 5.261117172241211,
+      "epoch": 4.726594863297431,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003273076721501029,
+      "loss": 4.8845,
+      "mean_token_accuracy": 0.1939824104309082,
+      "num_tokens": 10393731.0,
+      "step": 5705
+    },
+    {
+      "entropy": 5.386179351806641,
+      "epoch": 4.730737365368682,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003269968186375325,
+      "loss": 4.9916,
+      "mean_token_accuracy": 0.19829274713993073,
+      "num_tokens": 10402369.0,
+      "step": 5710
+    },
+    {
+      "entropy": 5.379951667785645,
+      "epoch": 4.7348798674399335,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003266858602416967,
+      "loss": 4.9801,
+      "mean_token_accuracy": 0.1936841771006584,
+      "num_tokens": 10411566.0,
+      "step": 5715
+    },
+    {
+      "entropy": 5.384341192245484,
+      "epoch": 4.739022369511185,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032637479758983255,
+      "loss": 5.0294,
+      "mean_token_accuracy": 0.18491634279489516,
+      "num_tokens": 10420086.0,
+      "step": 5720
+    },
+    {
+      "entropy": 5.409085655212403,
+      "epoch": 4.743164871582436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00032606363130938766,
+      "loss": 5.0704,
+      "mean_token_accuracy": 0.18897949457168578,
+      "num_tokens": 10429746.0,
+      "step": 5725
+    },
+    {
+      "entropy": 5.349277639389038,
+      "epoch": 4.747307373653687,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0003257523620280181,
+      "loss": 4.9498,
+      "mean_token_accuracy": 0.19129680693149567,
+      "num_tokens": 10438536.0,
+      "step": 5730
+    },
+    {
+      "entropy": 5.348873805999756,
+      "epoch": 4.751449875724938,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00032544099037358834,
+      "loss": 4.9497,
+      "mean_token_accuracy": 0.19692206382751465,
+      "num_tokens": 10447471.0,
+      "step": 5735
+    },
+    {
+      "entropy": 5.33362455368042,
+      "epoch": 4.755592377796189,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003251295169741688,
+      "loss": 4.962,
+      "mean_token_accuracy": 0.1995266228914261,
+      "num_tokens": 10457179.0,
+      "step": 5740
+    },
+    {
+      "entropy": 5.327010250091552,
+      "epoch": 4.75973487986744,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00032481794245803536,
+      "loss": 5.0295,
+      "mean_token_accuracy": 0.18461760133504868,
+      "num_tokens": 10466291.0,
+      "step": 5745
+    },
+    {
+      "entropy": 5.323912620544434,
+      "epoch": 4.763877381938691,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00032450626745366806,
+      "loss": 4.9102,
+      "mean_token_accuracy": 0.19402227252721788,
+      "num_tokens": 10475452.0,
+      "step": 5750
+    },
+    {
+      "entropy": 5.306818199157715,
+      "epoch": 4.768019884009942,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00032419449258974924,
+      "loss": 4.8753,
+      "mean_token_accuracy": 0.20045212656259537,
+      "num_tokens": 10484381.0,
+      "step": 5755
+    },
+    {
+      "entropy": 5.342190933227539,
+      "epoch": 4.7721623860811935,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000323882618495163,
+      "loss": 5.0665,
+      "mean_token_accuracy": 0.1831491023302078,
+      "num_tokens": 10495132.0,
+      "step": 5760
+    },
+    {
+      "entropy": 5.351349258422852,
+      "epoch": 4.776304888152444,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003235706457989934,
+      "loss": 5.0246,
+      "mean_token_accuracy": 0.1850237250328064,
+      "num_tokens": 10504519.0,
+      "step": 5765
+    },
+    {
+      "entropy": 5.387107896804809,
+      "epoch": 4.780447390223695,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032325857513052354,
+      "loss": 4.9654,
+      "mean_token_accuracy": 0.19212980419397355,
+      "num_tokens": 10513575.0,
+      "step": 5770
+    },
+    {
+      "entropy": 5.396086692810059,
+      "epoch": 4.784589892294946,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000322946407119234,
+      "loss": 5.0554,
+      "mean_token_accuracy": 0.18998173326253892,
+      "num_tokens": 10522148.0,
+      "step": 5775
+    },
+    {
+      "entropy": 5.361077404022216,
+      "epoch": 4.788732394366197,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032263414239480187,
+      "loss": 4.9891,
+      "mean_token_accuracy": 0.18589809089899062,
+      "num_tokens": 10531183.0,
+      "step": 5780
+    },
+    {
+      "entropy": 5.342947483062744,
+      "epoch": 4.792874896437448,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.000322321781587099,
+      "loss": 4.9298,
+      "mean_token_accuracy": 0.19391343146562576,
+      "num_tokens": 10540677.0,
+      "step": 5785
+    },
+    {
+      "entropy": 5.276329088211059,
+      "epoch": 4.797017398508699,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003220093253261915,
+      "loss": 4.9342,
+      "mean_token_accuracy": 0.18589555770158767,
+      "num_tokens": 10550009.0,
+      "step": 5790
+    },
+    {
+      "entropy": 5.315787076950073,
+      "epoch": 4.80115990057995,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003216967742423377,
+      "loss": 4.9621,
+      "mean_token_accuracy": 0.19312297254800798,
+      "num_tokens": 10559694.0,
+      "step": 5795
+    },
+    {
+      "entropy": 5.339448022842407,
+      "epoch": 4.8053024026512015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003213841289659872,
+      "loss": 4.9613,
+      "mean_token_accuracy": 0.20080769211053848,
+      "num_tokens": 10567965.0,
+      "step": 5800
+    },
+    {
+      "entropy": 5.312955284118653,
+      "epoch": 4.809444904722453,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003210713901277799,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.19690640568733214,
+      "num_tokens": 10577653.0,
+      "step": 5805
+    },
+    {
+      "entropy": 5.359428977966308,
+      "epoch": 4.813587406793704,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000320758558358544,
+      "loss": 4.9728,
+      "mean_token_accuracy": 0.18951950818300248,
+      "num_tokens": 10586903.0,
+      "step": 5810
+    },
+    {
+      "entropy": 5.302858638763428,
+      "epoch": 4.817729908864955,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003204456342892955,
+      "loss": 4.8829,
+      "mean_token_accuracy": 0.19500194638967513,
+      "num_tokens": 10595411.0,
+      "step": 5815
+    },
+    {
+      "entropy": 5.321697616577149,
+      "epoch": 4.821872410936205,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00032013261855123637,
+      "loss": 4.9475,
+      "mean_token_accuracy": 0.1907385230064392,
+      "num_tokens": 10604147.0,
+      "step": 5820
+    },
+    {
+      "entropy": 5.368891286849975,
+      "epoch": 4.826014913007457,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00031981951177575366,
+      "loss": 5.0445,
+      "mean_token_accuracy": 0.1850367307662964,
+      "num_tokens": 10614048.0,
+      "step": 5825
+    },
+    {
+      "entropy": 5.374803781509399,
+      "epoch": 4.830157415078707,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003195063145944178,
+      "loss": 5.0779,
+      "mean_token_accuracy": 0.18388603180646895,
+      "num_tokens": 10623399.0,
+      "step": 5830
+    },
+    {
+      "entropy": 5.389354228973389,
+      "epoch": 4.834299917149958,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003191930276389819,
+      "loss": 4.9183,
+      "mean_token_accuracy": 0.19506800919771194,
+      "num_tokens": 10632627.0,
+      "step": 5835
+    },
+    {
+      "entropy": 5.401239061355591,
+      "epoch": 4.838442419221209,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00031887965154137987,
+      "loss": 4.9726,
+      "mean_token_accuracy": 0.1816769301891327,
+      "num_tokens": 10641155.0,
+      "step": 5840
+    },
+    {
+      "entropy": 5.354168939590454,
+      "epoch": 4.8425849212924605,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003185661869337255,
+      "loss": 5.0118,
+      "mean_token_accuracy": 0.18452974855899812,
+      "num_tokens": 10649661.0,
+      "step": 5845
+    },
+    {
+      "entropy": 5.265790605545044,
+      "epoch": 4.846727423363712,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00031825263444831137,
+      "loss": 4.9151,
+      "mean_token_accuracy": 0.19235364347696304,
+      "num_tokens": 10658652.0,
+      "step": 5850
+    },
+    {
+      "entropy": 5.3790277481079105,
+      "epoch": 4.850869925434963,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003179389947176069,
+      "loss": 5.0445,
+      "mean_token_accuracy": 0.1886226385831833,
+      "num_tokens": 10668703.0,
+      "step": 5855
+    },
+    {
+      "entropy": 5.385872554779053,
+      "epoch": 4.855012427506214,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003176252683742578,
+      "loss": 4.9484,
+      "mean_token_accuracy": 0.19056980460882186,
+      "num_tokens": 10677740.0,
+      "step": 5860
+    },
+    {
+      "entropy": 5.347926044464112,
+      "epoch": 4.859154929577465,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003173114560510843,
+      "loss": 4.9447,
+      "mean_token_accuracy": 0.18929830342531204,
+      "num_tokens": 10686429.0,
+      "step": 5865
+    },
+    {
+      "entropy": 5.332098054885864,
+      "epoch": 4.863297431648716,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00031699755838108027,
+      "loss": 5.0442,
+      "mean_token_accuracy": 0.1941297546029091,
+      "num_tokens": 10696367.0,
+      "step": 5870
+    },
+    {
+      "entropy": 5.310936546325683,
+      "epoch": 4.867439933719967,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003166835759974115,
+      "loss": 4.9902,
+      "mean_token_accuracy": 0.1873769447207451,
+      "num_tokens": 10705712.0,
+      "step": 5875
+    },
+    {
+      "entropy": 5.371630382537842,
+      "epoch": 4.871582435791218,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031636950953341486,
+      "loss": 5.0345,
+      "mean_token_accuracy": 0.18638068735599517,
+      "num_tokens": 10715897.0,
+      "step": 5880
+    },
+    {
+      "entropy": 5.3334348678588865,
+      "epoch": 4.8757249378624685,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00031605535962259666,
+      "loss": 4.9268,
+      "mean_token_accuracy": 0.1887778237462044,
+      "num_tokens": 10724810.0,
+      "step": 5885
+    },
+    {
+      "entropy": 5.353308916091919,
+      "epoch": 4.87986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003157411268986316,
+      "loss": 4.9771,
+      "mean_token_accuracy": 0.1932398796081543,
+      "num_tokens": 10734661.0,
+      "step": 5890
+    },
+    {
+      "entropy": 5.287876415252685,
+      "epoch": 4.884009942004971,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003154268119953615,
+      "loss": 4.9586,
+      "mean_token_accuracy": 0.19356854259967804,
+      "num_tokens": 10743642.0,
+      "step": 5895
+    },
+    {
+      "entropy": 5.344345998764038,
+      "epoch": 4.888152444076222,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003151124155467938,
+      "loss": 4.9607,
+      "mean_token_accuracy": 0.19625648856163025,
+      "num_tokens": 10752812.0,
+      "step": 5900
+    },
+    {
+      "entropy": 5.3407337188720705,
+      "epoch": 4.892294946147473,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00031479793818710056,
+      "loss": 4.9983,
+      "mean_token_accuracy": 0.18306475579738618,
+      "num_tokens": 10762117.0,
+      "step": 5905
+    },
+    {
+      "entropy": 5.299752902984619,
+      "epoch": 4.896437448218724,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031448338055061685,
+      "loss": 4.9018,
+      "mean_token_accuracy": 0.19901909530162812,
+      "num_tokens": 10771515.0,
+      "step": 5910
+    },
+    {
+      "entropy": 5.309285831451416,
+      "epoch": 4.900579950289975,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00031416874327183994,
+      "loss": 4.9486,
+      "mean_token_accuracy": 0.19302618503570557,
+      "num_tokens": 10780610.0,
+      "step": 5915
+    },
+    {
+      "entropy": 5.22410569190979,
+      "epoch": 4.904722452361226,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031385402698542753,
+      "loss": 4.9151,
+      "mean_token_accuracy": 0.19276074767112733,
+      "num_tokens": 10789169.0,
+      "step": 5920
+    },
+    {
+      "entropy": 5.30161485671997,
+      "epoch": 4.908864954432477,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031353923232619674,
+      "loss": 4.9078,
+      "mean_token_accuracy": 0.19779694378376006,
+      "num_tokens": 10798636.0,
+      "step": 5925
+    },
+    {
+      "entropy": 5.3571271896362305,
+      "epoch": 4.9130074565037285,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003132243599291229,
+      "loss": 4.9753,
+      "mean_token_accuracy": 0.19644105434417725,
+      "num_tokens": 10808245.0,
+      "step": 5930
+    },
+    {
+      "entropy": 5.384200191497802,
+      "epoch": 4.91714995857498,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00031290941042933797,
+      "loss": 4.9679,
+      "mean_token_accuracy": 0.18787674605846405,
+      "num_tokens": 10817164.0,
+      "step": 5935
+    },
+    {
+      "entropy": 5.287544202804566,
+      "epoch": 4.92129246064623,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031259438446212953,
+      "loss": 5.0007,
+      "mean_token_accuracy": 0.18373542726039888,
+      "num_tokens": 10826098.0,
+      "step": 5940
+    },
+    {
+      "entropy": 5.33493857383728,
+      "epoch": 4.925434962717482,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00031227928266293933,
+      "loss": 5.0115,
+      "mean_token_accuracy": 0.18100205808877945,
+      "num_tokens": 10836427.0,
+      "step": 5945
+    },
+    {
+      "entropy": 5.345344829559326,
+      "epoch": 4.929577464788732,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00031196410566736215,
+      "loss": 4.9689,
+      "mean_token_accuracy": 0.19277302771806717,
+      "num_tokens": 10845804.0,
+      "step": 5950
+    },
+    {
+      "entropy": 5.3519449710845945,
+      "epoch": 4.933719966859983,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00031164885411114453,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.1908810630440712,
+      "num_tokens": 10855951.0,
+      "step": 5955
+    },
+    {
+      "entropy": 5.301464605331421,
+      "epoch": 4.937862468931234,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031133352863018315,
+      "loss": 5.079,
+      "mean_token_accuracy": 0.18923453092575074,
+      "num_tokens": 10865528.0,
+      "step": 5960
+    },
+    {
+      "entropy": 5.369193601608276,
+      "epoch": 4.942004971002485,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00031101812986052406,
+      "loss": 4.9936,
+      "mean_token_accuracy": 0.19839225262403487,
+      "num_tokens": 10874365.0,
+      "step": 5965
+    },
+    {
+      "entropy": 5.310976552963257,
+      "epoch": 4.9461474730737365,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00031070265843836107,
+      "loss": 4.9184,
+      "mean_token_accuracy": 0.1972976267337799,
+      "num_tokens": 10883034.0,
+      "step": 5970
+    },
+    {
+      "entropy": 5.323369884490967,
+      "epoch": 4.950289975144988,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003103871150000345,
+      "loss": 4.9768,
+      "mean_token_accuracy": 0.1961338758468628,
+      "num_tokens": 10892307.0,
+      "step": 5975
+    },
+    {
+      "entropy": 5.354686069488525,
+      "epoch": 4.954432477216239,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00031007150018202983,
+      "loss": 5.057,
+      "mean_token_accuracy": 0.18536237627267838,
+      "num_tokens": 10902074.0,
+      "step": 5980
+    },
+    {
+      "entropy": 5.372721862792969,
+      "epoch": 4.95857497928749,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00030975581462097673,
+      "loss": 4.8961,
+      "mean_token_accuracy": 0.19350670725107194,
+      "num_tokens": 10911205.0,
+      "step": 5985
+    },
+    {
+      "entropy": 5.278085422515869,
+      "epoch": 4.962717481358741,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00030944005895364754,
+      "loss": 4.9233,
+      "mean_token_accuracy": 0.19045489132404328,
+      "num_tokens": 10920371.0,
+      "step": 5990
+    },
+    {
+      "entropy": 5.219862222671509,
+      "epoch": 4.966859983429992,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00030912423381695584,
+      "loss": 4.9124,
+      "mean_token_accuracy": 0.20015972554683686,
+      "num_tokens": 10928741.0,
+      "step": 5995
+    },
+    {
+      "entropy": 5.3216063499450685,
+      "epoch": 4.971002485501243,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00030880833984795554,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.20140086114406586,
+      "num_tokens": 10938074.0,
+      "step": 6000
+    },
+    {
+      "epoch": 4.971002485501243,
+      "eval_entropy": 5.223882782942196,
+      "eval_loss": 5.772702217102051,
+      "eval_mean_token_accuracy": 0.16291698060437307,
+      "eval_num_tokens": 10938074.0,
+      "eval_runtime": 2.7438,
+      "eval_samples_per_second": 1365.624,
+      "eval_steps_per_second": 170.931,
+      "step": 6000
+    },
+    {
+      "entropy": 5.304221105575562,
+      "epoch": 4.975144987572493,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0003084923776838392,
+      "loss": 4.9428,
+      "mean_token_accuracy": 0.1906152918934822,
+      "num_tokens": 10946756.0,
+      "step": 6005
+    },
+    {
+      "entropy": 5.28564419746399,
+      "epoch": 4.9792874896437445,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00030817634796193705,
+      "loss": 4.9192,
+      "mean_token_accuracy": 0.19711493700742722,
+      "num_tokens": 10956313.0,
+      "step": 6010
+    },
+    {
+      "entropy": 5.420253419876099,
+      "epoch": 4.983429991714996,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00030786025131971555,
+      "loss": 4.9823,
+      "mean_token_accuracy": 0.19457563310861586,
+      "num_tokens": 10964333.0,
+      "step": 6015
+    },
+    {
+      "entropy": 5.329161500930786,
+      "epoch": 4.987572493786247,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003075440883947764,
+      "loss": 4.8999,
+      "mean_token_accuracy": 0.19664130955934525,
+      "num_tokens": 10974110.0,
+      "step": 6020
+    },
+    {
+      "entropy": 5.248602771759034,
+      "epoch": 4.991714995857498,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003072278598248544,
+      "loss": 4.9529,
+      "mean_token_accuracy": 0.19656815081834794,
+      "num_tokens": 10983186.0,
+      "step": 6025
+    },
+    {
+      "entropy": 5.307998704910278,
+      "epoch": 4.995857497928749,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00030691156624781734,
+      "loss": 4.9377,
+      "mean_token_accuracy": 0.19932860583066941,
+      "num_tokens": 10992244.0,
+      "step": 6030
+    },
+    {
+      "entropy": 5.353039836883545,
+      "epoch": 5.0,
+      "grad_norm": 1.8515625,
+      "learning_rate": 0.000306595208301664,
+      "loss": 4.927,
+      "mean_token_accuracy": 0.20540354549884796,
+      "num_tokens": 11000005.0,
+      "step": 6035
+    },
+    {
+      "entropy": 5.336960649490356,
+      "epoch": 5.004142502071251,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00030627878662452273,
+      "loss": 4.7717,
+      "mean_token_accuracy": 0.20522954761981965,
+      "num_tokens": 11009346.0,
+      "step": 6040
+    },
+    {
+      "entropy": 5.356115531921387,
+      "epoch": 5.008285004142502,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003059623018546508,
+      "loss": 4.7197,
+      "mean_token_accuracy": 0.2092713624238968,
+      "num_tokens": 11017844.0,
+      "step": 6045
+    },
+    {
+      "entropy": 5.362998294830322,
+      "epoch": 5.012427506213753,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003056457546304326,
+      "loss": 4.7531,
+      "mean_token_accuracy": 0.21363187432289124,
+      "num_tokens": 11026840.0,
+      "step": 6050
+    },
+    {
+      "entropy": 5.250718975067139,
+      "epoch": 5.016570008285004,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003053291455903782,
+      "loss": 4.7186,
+      "mean_token_accuracy": 0.2076275572180748,
+      "num_tokens": 11034906.0,
+      "step": 6055
+    },
+    {
+      "entropy": 5.263190746307373,
+      "epoch": 5.0207125103562555,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00030501247537312293,
+      "loss": 4.7802,
+      "mean_token_accuracy": 0.20651286244392394,
+      "num_tokens": 11044403.0,
+      "step": 6060
+    },
+    {
+      "entropy": 5.360515308380127,
+      "epoch": 5.024855012427507,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0003046957446174251,
+      "loss": 4.7387,
+      "mean_token_accuracy": 0.21264788061380385,
+      "num_tokens": 11052685.0,
+      "step": 6065
+    },
+    {
+      "entropy": 5.316996622085571,
+      "epoch": 5.028997514498757,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00030437895396216524,
+      "loss": 4.591,
+      "mean_token_accuracy": 0.21709324419498444,
+      "num_tokens": 11060830.0,
+      "step": 6070
+    },
+    {
+      "entropy": 5.315813970565796,
+      "epoch": 5.033140016570008,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.00030406210404634475,
+      "loss": 4.7708,
+      "mean_token_accuracy": 0.20373892933130264,
+      "num_tokens": 11070220.0,
+      "step": 6075
+    },
+    {
+      "entropy": 5.294347095489502,
+      "epoch": 5.037282518641259,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003037451955090846,
+      "loss": 4.6847,
+      "mean_token_accuracy": 0.20420003384351731,
+      "num_tokens": 11079171.0,
+      "step": 6080
+    },
+    {
+      "entropy": 5.297221279144287,
+      "epoch": 5.04142502071251,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00030342822898962377,
+      "loss": 4.7697,
+      "mean_token_accuracy": 0.20524269640445708,
+      "num_tokens": 11089205.0,
+      "step": 6085
+    },
+    {
+      "entropy": 5.273457336425781,
+      "epoch": 5.045567522783761,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003031112051273185,
+      "loss": 4.7429,
+      "mean_token_accuracy": 0.21156702935695648,
+      "num_tokens": 11098339.0,
+      "step": 6090
+    },
+    {
+      "entropy": 5.299424123764038,
+      "epoch": 5.049710024855012,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003027941245616405,
+      "loss": 4.6524,
+      "mean_token_accuracy": 0.21203886568546296,
+      "num_tokens": 11107218.0,
+      "step": 6095
+    },
+    {
+      "entropy": 5.3286974906921385,
+      "epoch": 5.0538525269262635,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003024769879321761,
+      "loss": 4.7702,
+      "mean_token_accuracy": 0.2051073744893074,
+      "num_tokens": 11116457.0,
+      "step": 6100
+    },
+    {
+      "entropy": 5.300696182250976,
+      "epoch": 5.057995028997515,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0003021597958786243,
+      "loss": 4.7449,
+      "mean_token_accuracy": 0.20762935131788254,
+      "num_tokens": 11124834.0,
+      "step": 6105
+    },
+    {
+      "entropy": 5.288244676589966,
+      "epoch": 5.062137531068766,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003018425490407962,
+      "loss": 4.76,
+      "mean_token_accuracy": 0.20868725776672364,
+      "num_tokens": 11133920.0,
+      "step": 6110
+    },
+    {
+      "entropy": 5.387529897689819,
+      "epoch": 5.066280033140017,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00030152524805861344,
+      "loss": 4.7597,
+      "mean_token_accuracy": 0.20800695270299913,
+      "num_tokens": 11143573.0,
+      "step": 6115
+    },
+    {
+      "entropy": 5.3629701137542725,
+      "epoch": 5.070422535211268,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00030120789357210667,
+      "loss": 4.8139,
+      "mean_token_accuracy": 0.20669919848442078,
+      "num_tokens": 11154255.0,
+      "step": 6120
+    },
+    {
+      "entropy": 5.300123262405395,
+      "epoch": 5.074565037282519,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00030089048622141453,
+      "loss": 4.7241,
+      "mean_token_accuracy": 0.2095050945878029,
+      "num_tokens": 11163306.0,
+      "step": 6125
+    },
+    {
+      "entropy": 5.368470001220703,
+      "epoch": 5.078707539353769,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00030057302664678243,
+      "loss": 4.7569,
+      "mean_token_accuracy": 0.20853464156389237,
+      "num_tokens": 11172763.0,
+      "step": 6130
+    },
+    {
+      "entropy": 5.33392744064331,
+      "epoch": 5.08285004142502,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00030025551548856105,
+      "loss": 4.7413,
+      "mean_token_accuracy": 0.20951523035764694,
+      "num_tokens": 11182196.0,
+      "step": 6135
+    },
+    {
+      "entropy": 5.287980794906616,
+      "epoch": 5.0869925434962715,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002999379533872051,
+      "loss": 4.7905,
+      "mean_token_accuracy": 0.19804110527038574,
+      "num_tokens": 11192462.0,
+      "step": 6140
+    },
+    {
+      "entropy": 5.281665325164795,
+      "epoch": 5.091135045567523,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002996203409832719,
+      "loss": 4.7519,
+      "mean_token_accuracy": 0.2107569918036461,
+      "num_tokens": 11201805.0,
+      "step": 6145
+    },
+    {
+      "entropy": 5.31660532951355,
+      "epoch": 5.095277547638774,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002993026789174205,
+      "loss": 4.7322,
+      "mean_token_accuracy": 0.21754502654075622,
+      "num_tokens": 11210114.0,
+      "step": 6150
+    },
+    {
+      "entropy": 5.335706996917724,
+      "epoch": 5.099420049710025,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002989849678304099,
+      "loss": 4.8147,
+      "mean_token_accuracy": 0.20241696387529373,
+      "num_tokens": 11219725.0,
+      "step": 6155
+    },
+    {
+      "entropy": 5.308135366439819,
+      "epoch": 5.103562551781276,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00029866720836309817,
+      "loss": 4.7283,
+      "mean_token_accuracy": 0.20736500322818757,
+      "num_tokens": 11228583.0,
+      "step": 6160
+    },
+    {
+      "entropy": 5.3292882442474365,
+      "epoch": 5.107705053852527,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00029834940115644086,
+      "loss": 4.7472,
+      "mean_token_accuracy": 0.20635622441768647,
+      "num_tokens": 11237787.0,
+      "step": 6165
+    },
+    {
+      "entropy": 5.2917111873626705,
+      "epoch": 5.111847555923778,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002980315468514898,
+      "loss": 4.7704,
+      "mean_token_accuracy": 0.20057149082422257,
+      "num_tokens": 11247136.0,
+      "step": 6170
+    },
+    {
+      "entropy": 5.239889097213745,
+      "epoch": 5.115990057995029,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00029771364608939196,
+      "loss": 4.6994,
+      "mean_token_accuracy": 0.20981708765029908,
+      "num_tokens": 11256931.0,
+      "step": 6175
+    },
+    {
+      "entropy": 5.272354030609131,
+      "epoch": 5.12013256006628,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002973956995113878,
+      "loss": 4.6811,
+      "mean_token_accuracy": 0.20489206910133362,
+      "num_tokens": 11266457.0,
+      "step": 6180
+    },
+    {
+      "entropy": 5.272558641433716,
+      "epoch": 5.1242750621375315,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.0002970777077588103,
+      "loss": 4.6443,
+      "mean_token_accuracy": 0.2170465260744095,
+      "num_tokens": 11274239.0,
+      "step": 6185
+    },
+    {
+      "entropy": 5.282349872589111,
+      "epoch": 5.128417564208782,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0002967596714730837,
+      "loss": 4.7752,
+      "mean_token_accuracy": 0.20363858938217164,
+      "num_tokens": 11283239.0,
+      "step": 6190
+    },
+    {
+      "entropy": 5.285331869125367,
+      "epoch": 5.132560066280033,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00029644159129572185,
+      "loss": 4.7121,
+      "mean_token_accuracy": 0.2075791761279106,
+      "num_tokens": 11291662.0,
+      "step": 6195
+    },
+    {
+      "entropy": 5.2614960193634035,
+      "epoch": 5.136702568351284,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002961234678683272,
+      "loss": 4.7453,
+      "mean_token_accuracy": 0.21309943348169327,
+      "num_tokens": 11300165.0,
+      "step": 6200
+    },
+    {
+      "entropy": 5.323043155670166,
+      "epoch": 5.140845070422535,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0002958053018325896,
+      "loss": 4.7132,
+      "mean_token_accuracy": 0.21612811386585234,
+      "num_tokens": 11309729.0,
+      "step": 6205
+    },
+    {
+      "entropy": 5.375712585449219,
+      "epoch": 5.144987572493786,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002954870938302846,
+      "loss": 4.7657,
+      "mean_token_accuracy": 0.2033802881836891,
+      "num_tokens": 11318674.0,
+      "step": 6210
+    },
+    {
+      "entropy": 5.292187595367432,
+      "epoch": 5.149130074565037,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002951688445032726,
+      "loss": 4.7309,
+      "mean_token_accuracy": 0.21144932359457017,
+      "num_tokens": 11327583.0,
+      "step": 6215
+    },
+    {
+      "entropy": 5.326848030090332,
+      "epoch": 5.153272576636288,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002948505544934971,
+      "loss": 4.7639,
+      "mean_token_accuracy": 0.2049189493060112,
+      "num_tokens": 11338132.0,
+      "step": 6220
+    },
+    {
+      "entropy": 5.31851224899292,
+      "epoch": 5.1574150787075395,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000294532224442984,
+      "loss": 4.7911,
+      "mean_token_accuracy": 0.20397177040576936,
+      "num_tokens": 11347210.0,
+      "step": 6225
+    },
+    {
+      "entropy": 5.275168132781983,
+      "epoch": 5.161557580778791,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00029421385499383976,
+      "loss": 4.6742,
+      "mean_token_accuracy": 0.22349916100502015,
+      "num_tokens": 11355479.0,
+      "step": 6230
+    },
+    {
+      "entropy": 5.348278999328613,
+      "epoch": 5.165700082850042,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00029389544678825035,
+      "loss": 4.8403,
+      "mean_token_accuracy": 0.19372698813676834,
+      "num_tokens": 11364518.0,
+      "step": 6235
+    },
+    {
+      "entropy": 5.247139596939087,
+      "epoch": 5.169842584921293,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00029357700046847985,
+      "loss": 4.737,
+      "mean_token_accuracy": 0.2046540141105652,
+      "num_tokens": 11373589.0,
+      "step": 6240
+    },
+    {
+      "entropy": 5.368101263046265,
+      "epoch": 5.173985086992544,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002932585166768694,
+      "loss": 4.7938,
+      "mean_token_accuracy": 0.20394597351551055,
+      "num_tokens": 11383209.0,
+      "step": 6245
+    },
+    {
+      "entropy": 5.315500497817993,
+      "epoch": 5.178127589063794,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00029293999605583545,
+      "loss": 4.7294,
+      "mean_token_accuracy": 0.20444581657648087,
+      "num_tokens": 11392012.0,
+      "step": 6250
+    },
+    {
+      "entropy": 5.282355690002442,
+      "epoch": 5.182270091135045,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00029262143924786905,
+      "loss": 4.7761,
+      "mean_token_accuracy": 0.20456164181232453,
+      "num_tokens": 11400489.0,
+      "step": 6255
+    },
+    {
+      "entropy": 5.2667319774627686,
+      "epoch": 5.186412593206296,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00029230284689553404,
+      "loss": 4.6817,
+      "mean_token_accuracy": 0.21175160706043245,
+      "num_tokens": 11409337.0,
+      "step": 6260
+    },
+    {
+      "entropy": 5.286681175231934,
+      "epoch": 5.190555095277547,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00029198421964146605,
+      "loss": 4.7382,
+      "mean_token_accuracy": 0.21787525415420533,
+      "num_tokens": 11418650.0,
+      "step": 6265
+    },
+    {
+      "entropy": 5.2383523941040036,
+      "epoch": 5.1946975973487985,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002916655581283709,
+      "loss": 4.747,
+      "mean_token_accuracy": 0.20590767711400987,
+      "num_tokens": 11427516.0,
+      "step": 6270
+    },
+    {
+      "entropy": 5.225810289382935,
+      "epoch": 5.19884009942005,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00029134686299902397,
+      "loss": 4.7223,
+      "mean_token_accuracy": 0.20668105334043502,
+      "num_tokens": 11435676.0,
+      "step": 6275
+    },
+    {
+      "entropy": 5.336339044570923,
+      "epoch": 5.202982601491301,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002910281348962679,
+      "loss": 4.7825,
+      "mean_token_accuracy": 0.1937339723110199,
+      "num_tokens": 11444520.0,
+      "step": 6280
+    },
+    {
+      "entropy": 5.342389440536499,
+      "epoch": 5.207125103562552,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00029070937446301225,
+      "loss": 4.7611,
+      "mean_token_accuracy": 0.20350439995527267,
+      "num_tokens": 11453759.0,
+      "step": 6285
+    },
+    {
+      "entropy": 5.377904796600342,
+      "epoch": 5.211267605633803,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002903905823422317,
+      "loss": 4.9078,
+      "mean_token_accuracy": 0.1901518851518631,
+      "num_tokens": 11463409.0,
+      "step": 6290
+    },
+    {
+      "entropy": 5.323945093154907,
+      "epoch": 5.215410107705054,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002900717591769646,
+      "loss": 4.7966,
+      "mean_token_accuracy": 0.20510322898626326,
+      "num_tokens": 11473440.0,
+      "step": 6295
+    },
+    {
+      "entropy": 5.27484130859375,
+      "epoch": 5.219552609776305,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002897529056103122,
+      "loss": 4.6336,
+      "mean_token_accuracy": 0.2183629482984543,
+      "num_tokens": 11482353.0,
+      "step": 6300
+    },
+    {
+      "entropy": 5.297479438781738,
+      "epoch": 5.223695111847556,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002894340222854371,
+      "loss": 4.7712,
+      "mean_token_accuracy": 0.20640946179628372,
+      "num_tokens": 11491331.0,
+      "step": 6305
+    },
+    {
+      "entropy": 5.215849542617798,
+      "epoch": 5.2278376139188065,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002891151098455617,
+      "loss": 4.7107,
+      "mean_token_accuracy": 0.20350281596183778,
+      "num_tokens": 11500553.0,
+      "step": 6310
+    },
+    {
+      "entropy": 5.170541191101075,
+      "epoch": 5.231980115990058,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002887961689339672,
+      "loss": 4.6526,
+      "mean_token_accuracy": 0.21051572561264037,
+      "num_tokens": 11509146.0,
+      "step": 6315
+    },
+    {
+      "entropy": 5.332199335098267,
+      "epoch": 5.236122618061309,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002884772001939924,
+      "loss": 4.7771,
+      "mean_token_accuracy": 0.20190449655056,
+      "num_tokens": 11518172.0,
+      "step": 6320
+    },
+    {
+      "entropy": 5.30375485420227,
+      "epoch": 5.24026512013256,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000288158204269032,
+      "loss": 4.7764,
+      "mean_token_accuracy": 0.19927115142345428,
+      "num_tokens": 11527291.0,
+      "step": 6325
+    },
+    {
+      "entropy": 5.285002279281616,
+      "epoch": 5.244407622203811,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00028783918180253567,
+      "loss": 4.7763,
+      "mean_token_accuracy": 0.20877851247787477,
+      "num_tokens": 11536306.0,
+      "step": 6330
+    },
+    {
+      "entropy": 5.325639486312866,
+      "epoch": 5.248550124275062,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002875201334380066,
+      "loss": 4.801,
+      "mean_token_accuracy": 0.20768691897392272,
+      "num_tokens": 11545879.0,
+      "step": 6335
+    },
+    {
+      "entropy": 5.260626125335693,
+      "epoch": 5.252692626346313,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002872010598190002,
+      "loss": 4.7203,
+      "mean_token_accuracy": 0.21331494748592378,
+      "num_tokens": 11555067.0,
+      "step": 6340
+    },
+    {
+      "entropy": 5.273142910003662,
+      "epoch": 5.256835128417564,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002868819615891229,
+      "loss": 4.699,
+      "mean_token_accuracy": 0.211579430103302,
+      "num_tokens": 11563419.0,
+      "step": 6345
+    },
+    {
+      "entropy": 5.256633758544922,
+      "epoch": 5.260977630488815,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002865628393920305,
+      "loss": 4.7696,
+      "mean_token_accuracy": 0.207663132250309,
+      "num_tokens": 11573018.0,
+      "step": 6350
+    },
+    {
+      "entropy": 5.237578821182251,
+      "epoch": 5.2651201325600665,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.0002862436938714276,
+      "loss": 4.7003,
+      "mean_token_accuracy": 0.20862672179937364,
+      "num_tokens": 11581996.0,
+      "step": 6355
+    },
+    {
+      "entropy": 5.355519008636475,
+      "epoch": 5.269262634631318,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002859245256710654,
+      "loss": 4.7534,
+      "mean_token_accuracy": 0.20775581747293473,
+      "num_tokens": 11591706.0,
+      "step": 6360
+    },
+    {
+      "entropy": 5.319948673248291,
+      "epoch": 5.273405136702569,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002856053354347411,
+      "loss": 4.7813,
+      "mean_token_accuracy": 0.2074725329875946,
+      "num_tokens": 11600616.0,
+      "step": 6365
+    },
+    {
+      "entropy": 5.243834018707275,
+      "epoch": 5.27754763877382,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002852861238062963,
+      "loss": 4.6584,
+      "mean_token_accuracy": 0.21568063348531724,
+      "num_tokens": 11609650.0,
+      "step": 6370
+    },
+    {
+      "entropy": 5.26465950012207,
+      "epoch": 5.28169014084507,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002849668914296157,
+      "loss": 4.6998,
+      "mean_token_accuracy": 0.21142313480377198,
+      "num_tokens": 11618785.0,
+      "step": 6375
+    },
+    {
+      "entropy": 5.305418300628662,
+      "epoch": 5.285832642916321,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000284647638948626,
+      "loss": 4.7576,
+      "mean_token_accuracy": 0.20556087791919708,
+      "num_tokens": 11628089.0,
+      "step": 6380
+    },
+    {
+      "entropy": 5.268257570266724,
+      "epoch": 5.289975144987572,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002843283670072942,
+      "loss": 4.8658,
+      "mean_token_accuracy": 0.19545172303915023,
+      "num_tokens": 11636954.0,
+      "step": 6385
+    },
+    {
+      "entropy": 5.275126600265503,
+      "epoch": 5.294117647058823,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0002840090762496268,
+      "loss": 4.7803,
+      "mean_token_accuracy": 0.20498874336481093,
+      "num_tokens": 11646719.0,
+      "step": 6390
+    },
+    {
+      "entropy": 5.340854024887085,
+      "epoch": 5.2982601491300745,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002836897673196681,
+      "loss": 4.7015,
+      "mean_token_accuracy": 0.20719585418701172,
+      "num_tokens": 11655589.0,
+      "step": 6395
+    },
+    {
+      "entropy": 5.227226972579956,
+      "epoch": 5.302402651201326,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00028337044086149913,
+      "loss": 4.7283,
+      "mean_token_accuracy": 0.20560554265975953,
+      "num_tokens": 11663703.0,
+      "step": 6400
+    },
+    {
+      "entropy": 5.296469211578369,
+      "epoch": 5.306545153272577,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00028305109751923616,
+      "loss": 4.8177,
+      "mean_token_accuracy": 0.20388006865978242,
+      "num_tokens": 11672643.0,
+      "step": 6405
+    },
+    {
+      "entropy": 5.270711994171142,
+      "epoch": 5.310687655343828,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00028273173793702967,
+      "loss": 4.673,
+      "mean_token_accuracy": 0.2078327417373657,
+      "num_tokens": 11681449.0,
+      "step": 6410
+    },
+    {
+      "entropy": 5.301759338378906,
+      "epoch": 5.314830157415079,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002824123627590629,
+      "loss": 4.7568,
+      "mean_token_accuracy": 0.19922166019678117,
+      "num_tokens": 11690820.0,
+      "step": 6415
+    },
+    {
+      "entropy": 5.291653823852539,
+      "epoch": 5.31897265948633,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002820929726295504,
+      "loss": 4.7858,
+      "mean_token_accuracy": 0.2068773627281189,
+      "num_tokens": 11699705.0,
+      "step": 6420
+    },
+    {
+      "entropy": 5.257635831832886,
+      "epoch": 5.323115161557581,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002817735681927371,
+      "loss": 4.7267,
+      "mean_token_accuracy": 0.21190525144338607,
+      "num_tokens": 11709417.0,
+      "step": 6425
+    },
+    {
+      "entropy": 5.305531692504883,
+      "epoch": 5.327257663628831,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00028145415009289644,
+      "loss": 4.7662,
+      "mean_token_accuracy": 0.2035451725125313,
+      "num_tokens": 11718661.0,
+      "step": 6430
+    },
+    {
+      "entropy": 5.240819025039673,
+      "epoch": 5.3314001657000825,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002811347189743297,
+      "loss": 4.7448,
+      "mean_token_accuracy": 0.21049206256866454,
+      "num_tokens": 11727568.0,
+      "step": 6435
+    },
+    {
+      "entropy": 5.250747394561768,
+      "epoch": 5.335542667771334,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00028081527548136446,
+      "loss": 4.6853,
+      "mean_token_accuracy": 0.2216053858399391,
+      "num_tokens": 11736615.0,
+      "step": 6440
+    },
+    {
+      "entropy": 5.348236608505249,
+      "epoch": 5.339685169842585,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002804958202583531,
+      "loss": 4.8181,
+      "mean_token_accuracy": 0.19986798763275146,
+      "num_tokens": 11747458.0,
+      "step": 6445
+    },
+    {
+      "entropy": 5.277511358261108,
+      "epoch": 5.343827671913836,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002801763539496718,
+      "loss": 4.7878,
+      "mean_token_accuracy": 0.2081502467393875,
+      "num_tokens": 11756279.0,
+      "step": 6450
+    },
+    {
+      "entropy": 5.279990530014038,
+      "epoch": 5.347970173985087,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002798568771997188,
+      "loss": 4.7942,
+      "mean_token_accuracy": 0.2071585923433304,
+      "num_tokens": 11765022.0,
+      "step": 6455
+    },
+    {
+      "entropy": 5.2339942932128904,
+      "epoch": 5.352112676056338,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002795373906529137,
+      "loss": 4.7376,
+      "mean_token_accuracy": 0.20560838282108307,
+      "num_tokens": 11774704.0,
+      "step": 6460
+    },
+    {
+      "entropy": 5.248803615570068,
+      "epoch": 5.356255178127589,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002792178949536959,
+      "loss": 4.6784,
+      "mean_token_accuracy": 0.21611350923776626,
+      "num_tokens": 11782309.0,
+      "step": 6465
+    },
+    {
+      "entropy": 5.28652811050415,
+      "epoch": 5.36039768019884,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000278898390746523,
+      "loss": 4.7467,
+      "mean_token_accuracy": 0.20095686316490174,
+      "num_tokens": 11792595.0,
+      "step": 6470
+    },
+    {
+      "entropy": 5.2047077178955075,
+      "epoch": 5.364540182270091,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00027857887867587005,
+      "loss": 4.7269,
+      "mean_token_accuracy": 0.21140239089727403,
+      "num_tokens": 11801536.0,
+      "step": 6475
+    },
+    {
+      "entropy": 5.271708583831787,
+      "epoch": 5.368682684341342,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002782593593862276,
+      "loss": 4.8229,
+      "mean_token_accuracy": 0.19779271334409715,
+      "num_tokens": 11810222.0,
+      "step": 6480
+    },
+    {
+      "entropy": 5.317666244506836,
+      "epoch": 5.3728251864125935,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002779398335221011,
+      "loss": 4.8066,
+      "mean_token_accuracy": 0.20721431225538253,
+      "num_tokens": 11819310.0,
+      "step": 6485
+    },
+    {
+      "entropy": 5.305458688735962,
+      "epoch": 5.376967688483845,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.0002776203017280092,
+      "loss": 4.7703,
+      "mean_token_accuracy": 0.19982181042432784,
+      "num_tokens": 11827916.0,
+      "step": 6490
+    },
+    {
+      "entropy": 5.217341518402099,
+      "epoch": 5.381110190555095,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00027730076464848225,
+      "loss": 4.7654,
+      "mean_token_accuracy": 0.20862893313169478,
+      "num_tokens": 11836770.0,
+      "step": 6495
+    },
+    {
+      "entropy": 5.276216888427735,
+      "epoch": 5.385252692626346,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00027698122292806174,
+      "loss": 4.7006,
+      "mean_token_accuracy": 0.21164953708648682,
+      "num_tokens": 11845917.0,
+      "step": 6500
+    },
+    {
+      "epoch": 5.385252692626346,
+      "eval_entropy": 5.213927641097925,
+      "eval_loss": 5.769200801849365,
+      "eval_mean_token_accuracy": 0.16407465213524508,
+      "eval_num_tokens": 11845917.0,
+      "eval_runtime": 2.9494,
+      "eval_samples_per_second": 1270.426,
+      "eval_steps_per_second": 159.015,
+      "step": 6500
+    },
+    {
+      "entropy": 5.290333843231201,
+      "epoch": 5.389395194697597,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.000276661677211298,
+      "loss": 4.7403,
+      "mean_token_accuracy": 0.20341738760471345,
+      "num_tokens": 11855118.0,
+      "step": 6505
+    },
+    {
+      "entropy": 5.278094148635864,
+      "epoch": 5.393537696768848,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002763421281427497,
+      "loss": 4.6794,
+      "mean_token_accuracy": 0.21257141679525376,
+      "num_tokens": 11863793.0,
+      "step": 6510
+    },
+    {
+      "entropy": 5.368717813491822,
+      "epoch": 5.397680198840099,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002760225763669823,
+      "loss": 4.8171,
+      "mean_token_accuracy": 0.197501078248024,
+      "num_tokens": 11873194.0,
+      "step": 6515
+    },
+    {
+      "entropy": 5.341726636886596,
+      "epoch": 5.40182270091135,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00027570302252856666,
+      "loss": 4.7747,
+      "mean_token_accuracy": 0.20519590526819229,
+      "num_tokens": 11882566.0,
+      "step": 6520
+    },
+    {
+      "entropy": 5.2676441192626955,
+      "epoch": 5.4059652029826015,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00027538346727207767,
+      "loss": 4.7475,
+      "mean_token_accuracy": 0.21314287781715394,
+      "num_tokens": 11892267.0,
+      "step": 6525
+    },
+    {
+      "entropy": 5.272220420837402,
+      "epoch": 5.410107705053853,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002750639112420934,
+      "loss": 4.7716,
+      "mean_token_accuracy": 0.21124217808246612,
+      "num_tokens": 11901440.0,
+      "step": 6530
+    },
+    {
+      "entropy": 5.270874547958374,
+      "epoch": 5.414250207125104,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00027474435508319304,
+      "loss": 4.8396,
+      "mean_token_accuracy": 0.20556266158819197,
+      "num_tokens": 11911259.0,
+      "step": 6535
+    },
+    {
+      "entropy": 5.265343093872071,
+      "epoch": 5.418392709196355,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00027442479943995645,
+      "loss": 4.7941,
+      "mean_token_accuracy": 0.2035036563873291,
+      "num_tokens": 11920467.0,
+      "step": 6540
+    },
+    {
+      "entropy": 5.283535575866699,
+      "epoch": 5.422535211267606,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002741052449569624,
+      "loss": 4.8089,
+      "mean_token_accuracy": 0.19865555614233016,
+      "num_tokens": 11929971.0,
+      "step": 6545
+    },
+    {
+      "entropy": 5.330445003509522,
+      "epoch": 5.426677713338857,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002737856922787869,
+      "loss": 4.8088,
+      "mean_token_accuracy": 0.19926221221685408,
+      "num_tokens": 11938585.0,
+      "step": 6550
+    },
+    {
+      "entropy": 5.301173543930053,
+      "epoch": 5.430820215410108,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027346614205000277,
+      "loss": 4.7884,
+      "mean_token_accuracy": 0.20320066064596176,
+      "num_tokens": 11948264.0,
+      "step": 6555
+    },
+    {
+      "entropy": 5.329202175140381,
+      "epoch": 5.434962717481358,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00027314659491517777,
+      "loss": 4.7827,
+      "mean_token_accuracy": 0.2079697236418724,
+      "num_tokens": 11958459.0,
+      "step": 6560
+    },
+    {
+      "entropy": 5.296626996994019,
+      "epoch": 5.4391052195526095,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002728270515188733,
+      "loss": 4.7728,
+      "mean_token_accuracy": 0.20527158677577972,
+      "num_tokens": 11967994.0,
+      "step": 6565
+    },
+    {
+      "entropy": 5.325187683105469,
+      "epoch": 5.443247721623861,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002725075125056435,
+      "loss": 4.8235,
+      "mean_token_accuracy": 0.21111733317375184,
+      "num_tokens": 11976564.0,
+      "step": 6570
+    },
+    {
+      "entropy": 5.296580266952515,
+      "epoch": 5.447390223695112,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002721879785200333,
+      "loss": 4.7541,
+      "mean_token_accuracy": 0.21026979386806488,
+      "num_tokens": 11985682.0,
+      "step": 6575
+    },
+    {
+      "entropy": 5.34701886177063,
+      "epoch": 5.451532725766363,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002718684502065777,
+      "loss": 4.8138,
+      "mean_token_accuracy": 0.20367322415113448,
+      "num_tokens": 11995098.0,
+      "step": 6580
+    },
+    {
+      "entropy": 5.3261590003967285,
+      "epoch": 5.455675227837614,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00027154892820980024,
+      "loss": 4.8096,
+      "mean_token_accuracy": 0.206008443236351,
+      "num_tokens": 12004538.0,
+      "step": 6585
+    },
+    {
+      "entropy": 5.262662792205811,
+      "epoch": 5.459817729908865,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00027122941317421175,
+      "loss": 4.741,
+      "mean_token_accuracy": 0.21086378544569015,
+      "num_tokens": 12012568.0,
+      "step": 6590
+    },
+    {
+      "entropy": 5.287980222702027,
+      "epoch": 5.463960231980116,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000270909905744309,
+      "loss": 4.776,
+      "mean_token_accuracy": 0.20741475820541383,
+      "num_tokens": 12021934.0,
+      "step": 6595
+    },
+    {
+      "entropy": 5.313226222991943,
+      "epoch": 5.468102734051367,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00027059040656457316,
+      "loss": 4.8104,
+      "mean_token_accuracy": 0.2010733589529991,
+      "num_tokens": 12031158.0,
+      "step": 6600
+    },
+    {
+      "entropy": 5.3314722061157225,
+      "epoch": 5.472245236122618,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002702709162794692,
+      "loss": 4.8078,
+      "mean_token_accuracy": 0.20088913142681122,
+      "num_tokens": 12040392.0,
+      "step": 6605
+    },
+    {
+      "entropy": 5.248980331420898,
+      "epoch": 5.4763877381938695,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00026995143553344394,
+      "loss": 4.6481,
+      "mean_token_accuracy": 0.21935920119285585,
+      "num_tokens": 12048412.0,
+      "step": 6610
+    },
+    {
+      "entropy": 5.258455896377564,
+      "epoch": 5.48053024026512,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00026963196497092483,
+      "loss": 4.7625,
+      "mean_token_accuracy": 0.20619691014289857,
+      "num_tokens": 12057681.0,
+      "step": 6615
+    },
+    {
+      "entropy": 5.290913534164429,
+      "epoch": 5.484672742336371,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00026931250523631905,
+      "loss": 4.7451,
+      "mean_token_accuracy": 0.20713003873825073,
+      "num_tokens": 12066243.0,
+      "step": 6620
+    },
+    {
+      "entropy": 5.215484523773194,
+      "epoch": 5.488815244407622,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026899305697401175,
+      "loss": 4.7545,
+      "mean_token_accuracy": 0.20806889086961747,
+      "num_tokens": 12075312.0,
+      "step": 6625
+    },
+    {
+      "entropy": 5.231590509414673,
+      "epoch": 5.492957746478873,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002686736208283649,
+      "loss": 4.7629,
+      "mean_token_accuracy": 0.20990005433559417,
+      "num_tokens": 12083990.0,
+      "step": 6630
+    },
+    {
+      "entropy": 5.376721620559692,
+      "epoch": 5.497100248550124,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00026835419744371627,
+      "loss": 4.8732,
+      "mean_token_accuracy": 0.19839346706867217,
+      "num_tokens": 12093301.0,
+      "step": 6635
+    },
+    {
+      "entropy": 5.241463851928711,
+      "epoch": 5.501242750621375,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002680347874643775,
+      "loss": 4.6882,
+      "mean_token_accuracy": 0.21418087482452391,
+      "num_tokens": 12102054.0,
+      "step": 6640
+    },
+    {
+      "entropy": 5.262872982025146,
+      "epoch": 5.505385252692626,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002677153915346336,
+      "loss": 4.7708,
+      "mean_token_accuracy": 0.20341249853372573,
+      "num_tokens": 12111432.0,
+      "step": 6645
+    },
+    {
+      "entropy": 5.237018823623657,
+      "epoch": 5.5095277547638775,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002673960102987412,
+      "loss": 4.7032,
+      "mean_token_accuracy": 0.21349260658025743,
+      "num_tokens": 12120424.0,
+      "step": 6650
+    },
+    {
+      "entropy": 5.301366519927979,
+      "epoch": 5.513670256835129,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00026707664440092676,
+      "loss": 4.8377,
+      "mean_token_accuracy": 0.20626042485237123,
+      "num_tokens": 12130210.0,
+      "step": 6655
+    },
+    {
+      "entropy": 5.414148330688477,
+      "epoch": 5.51781275890638,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00026675729448538655,
+      "loss": 4.8269,
+      "mean_token_accuracy": 0.21095569282770157,
+      "num_tokens": 12139366.0,
+      "step": 6660
+    },
+    {
+      "entropy": 5.2740867137908936,
+      "epoch": 5.521955260977631,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00026643796119628404,
+      "loss": 4.6432,
+      "mean_token_accuracy": 0.21321782022714614,
+      "num_tokens": 12148385.0,
+      "step": 6665
+    },
+    {
+      "entropy": 5.290845537185669,
+      "epoch": 5.526097763048882,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002661186451777495,
+      "loss": 4.7822,
+      "mean_token_accuracy": 0.20492887496948242,
+      "num_tokens": 12156640.0,
+      "step": 6670
+    },
+    {
+      "entropy": 5.280693674087525,
+      "epoch": 5.530240265120133,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002657993470738781,
+      "loss": 4.8587,
+      "mean_token_accuracy": 0.19673615247011184,
+      "num_tokens": 12166532.0,
+      "step": 6675
+    },
+    {
+      "entropy": 5.24079852104187,
+      "epoch": 5.534382767191383,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026548006752872915,
+      "loss": 4.6934,
+      "mean_token_accuracy": 0.2146509751677513,
+      "num_tokens": 12175239.0,
+      "step": 6680
+    },
+    {
+      "entropy": 5.243715524673462,
+      "epoch": 5.538525269262634,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002651608071863244,
+      "loss": 4.7611,
+      "mean_token_accuracy": 0.20688466280698775,
+      "num_tokens": 12184588.0,
+      "step": 6685
+    },
+    {
+      "entropy": 5.333131456375122,
+      "epoch": 5.542667771333885,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00026484156669064665,
+      "loss": 4.8177,
+      "mean_token_accuracy": 0.20230551064014435,
+      "num_tokens": 12194140.0,
+      "step": 6690
+    },
+    {
+      "entropy": 5.310734224319458,
+      "epoch": 5.5468102734051365,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.000264522346685639,
+      "loss": 4.8193,
+      "mean_token_accuracy": 0.20696787536144257,
+      "num_tokens": 12203504.0,
+      "step": 6695
+    },
+    {
+      "entropy": 5.33381724357605,
+      "epoch": 5.550952775476388,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0002642031478152031,
+      "loss": 4.7782,
+      "mean_token_accuracy": 0.207833394408226,
+      "num_tokens": 12212594.0,
+      "step": 6700
+    },
+    {
+      "entropy": 5.3383890151977536,
+      "epoch": 5.555095277547639,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00026388397072319786,
+      "loss": 4.8162,
+      "mean_token_accuracy": 0.2045178234577179,
+      "num_tokens": 12222101.0,
+      "step": 6705
+    },
+    {
+      "entropy": 5.29089732170105,
+      "epoch": 5.55923777961889,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002635648160534385,
+      "loss": 4.8118,
+      "mean_token_accuracy": 0.20435990989208222,
+      "num_tokens": 12232118.0,
+      "step": 6710
+    },
+    {
+      "entropy": 5.352822351455688,
+      "epoch": 5.563380281690141,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026324568444969473,
+      "loss": 4.7439,
+      "mean_token_accuracy": 0.20706239342689514,
+      "num_tokens": 12241275.0,
+      "step": 6715
+    },
+    {
+      "entropy": 5.245583724975586,
+      "epoch": 5.567522783761392,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026292657655569,
+      "loss": 4.7375,
+      "mean_token_accuracy": 0.21279312521219254,
+      "num_tokens": 12251125.0,
+      "step": 6720
+    },
+    {
+      "entropy": 5.229356813430786,
+      "epoch": 5.571665285832643,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00026260749301509954,
+      "loss": 4.7241,
+      "mean_token_accuracy": 0.21198077648878097,
+      "num_tokens": 12260613.0,
+      "step": 6725
+    },
+    {
+      "entropy": 5.324583339691162,
+      "epoch": 5.575807787903894,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026228843447155005,
+      "loss": 4.733,
+      "mean_token_accuracy": 0.2107634127140045,
+      "num_tokens": 12269878.0,
+      "step": 6730
+    },
+    {
+      "entropy": 5.270222854614258,
+      "epoch": 5.5799502899751445,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00026196940156861736,
+      "loss": 4.7819,
+      "mean_token_accuracy": 0.20616225749254227,
+      "num_tokens": 12278616.0,
+      "step": 6735
+    },
+    {
+      "entropy": 5.194797945022583,
+      "epoch": 5.584092792046396,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00026165039494982555,
+      "loss": 4.7068,
+      "mean_token_accuracy": 0.2110671728849411,
+      "num_tokens": 12287104.0,
+      "step": 6740
+    },
+    {
+      "entropy": 5.187378549575806,
+      "epoch": 5.588235294117647,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00026133141525864605,
+      "loss": 4.7357,
+      "mean_token_accuracy": 0.20822987705469131,
+      "num_tokens": 12296503.0,
+      "step": 6745
+    },
+    {
+      "entropy": 5.294446992874145,
+      "epoch": 5.592377796188898,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00026101246313849557,
+      "loss": 4.6989,
+      "mean_token_accuracy": 0.2123148426413536,
+      "num_tokens": 12306298.0,
+      "step": 6750
+    },
+    {
+      "entropy": 5.2862865924835205,
+      "epoch": 5.596520298260149,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0002606935392327356,
+      "loss": 4.7664,
+      "mean_token_accuracy": 0.20611962229013442,
+      "num_tokens": 12314826.0,
+      "step": 6755
+    },
+    {
+      "entropy": 5.258157396316529,
+      "epoch": 5.6006628003314,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00026037464418467035,
+      "loss": 4.7079,
+      "mean_token_accuracy": 0.21357058137655258,
+      "num_tokens": 12323776.0,
+      "step": 6760
+    },
+    {
+      "entropy": 5.312329053878784,
+      "epoch": 5.604805302402651,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002600557786375459,
+      "loss": 4.7819,
+      "mean_token_accuracy": 0.20854859054088593,
+      "num_tokens": 12332374.0,
+      "step": 6765
+    },
+    {
+      "entropy": 5.217779874801636,
+      "epoch": 5.608947804473902,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00025973694323454916,
+      "loss": 4.6354,
+      "mean_token_accuracy": 0.21756067872047424,
+      "num_tokens": 12341007.0,
+      "step": 6770
+    },
+    {
+      "entropy": 5.175305271148682,
+      "epoch": 5.613090306545153,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00025941813861880575,
+      "loss": 4.7114,
+      "mean_token_accuracy": 0.20966241657733917,
+      "num_tokens": 12350330.0,
+      "step": 6775
+    },
+    {
+      "entropy": 5.267894315719604,
+      "epoch": 5.6172328086164045,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00025909936543337957,
+      "loss": 4.7519,
+      "mean_token_accuracy": 0.1993374451994896,
+      "num_tokens": 12358592.0,
+      "step": 6780
+    },
+    {
+      "entropy": 5.290813016891479,
+      "epoch": 5.621375310687656,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002587806243212709,
+      "loss": 4.7692,
+      "mean_token_accuracy": 0.20917081385850905,
+      "num_tokens": 12368195.0,
+      "step": 6785
+    },
+    {
+      "entropy": 5.241605234146118,
+      "epoch": 5.625517812758907,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002584619159254154,
+      "loss": 4.7124,
+      "mean_token_accuracy": 0.20834194272756576,
+      "num_tokens": 12377206.0,
+      "step": 6790
+    },
+    {
+      "entropy": 5.247827816009521,
+      "epoch": 5.629660314830158,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00025814324088868276,
+      "loss": 4.7593,
+      "mean_token_accuracy": 0.21013118624687194,
+      "num_tokens": 12386595.0,
+      "step": 6795
+    },
+    {
+      "entropy": 5.175970602035522,
+      "epoch": 5.633802816901408,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00025782459985387526,
+      "loss": 4.6569,
+      "mean_token_accuracy": 0.2180004358291626,
+      "num_tokens": 12395923.0,
+      "step": 6800
+    },
+    {
+      "entropy": 5.269517803192139,
+      "epoch": 5.637945318972659,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002575059934637268,
+      "loss": 4.7985,
+      "mean_token_accuracy": 0.20669761300086975,
+      "num_tokens": 12405094.0,
+      "step": 6805
+    },
+    {
+      "entropy": 5.268765878677368,
+      "epoch": 5.64208782104391,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002571874223609012,
+      "loss": 4.7972,
+      "mean_token_accuracy": 0.20435070544481276,
+      "num_tokens": 12414834.0,
+      "step": 6810
+    },
+    {
+      "entropy": 5.294848012924194,
+      "epoch": 5.646230323115161,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00025686888718799136,
+      "loss": 4.7513,
+      "mean_token_accuracy": 0.20469613671302794,
+      "num_tokens": 12423485.0,
+      "step": 6815
+    },
+    {
+      "entropy": 5.368587017059326,
+      "epoch": 5.6503728251864125,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002565503885875173,
+      "loss": 4.7935,
+      "mean_token_accuracy": 0.20704300552606583,
+      "num_tokens": 12432149.0,
+      "step": 6820
+    },
+    {
+      "entropy": 5.2622401237487795,
+      "epoch": 5.654515327257664,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00025623192720192564,
+      "loss": 4.7433,
+      "mean_token_accuracy": 0.2119109019637108,
+      "num_tokens": 12441272.0,
+      "step": 6825
+    },
+    {
+      "entropy": 5.190871524810791,
+      "epoch": 5.658657829328915,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002559135036735877,
+      "loss": 4.7388,
+      "mean_token_accuracy": 0.20155471414327622,
+      "num_tokens": 12449318.0,
+      "step": 6830
+    },
+    {
+      "entropy": 5.168833065032959,
+      "epoch": 5.662800331400166,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00025559511864479864,
+      "loss": 4.6898,
+      "mean_token_accuracy": 0.21231105625629426,
+      "num_tokens": 12458473.0,
+      "step": 6835
+    },
+    {
+      "entropy": 5.313192129135132,
+      "epoch": 5.666942833471417,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002552767727577758,
+      "loss": 4.8113,
+      "mean_token_accuracy": 0.20445662438869477,
+      "num_tokens": 12467703.0,
+      "step": 6840
+    },
+    {
+      "entropy": 5.292496681213379,
+      "epoch": 5.671085335542668,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00025495846665465774,
+      "loss": 4.6938,
+      "mean_token_accuracy": 0.21795116513967513,
+      "num_tokens": 12476166.0,
+      "step": 6845
+    },
+    {
+      "entropy": 5.235640621185302,
+      "epoch": 5.675227837613919,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002546402009775024,
+      "loss": 4.7403,
+      "mean_token_accuracy": 0.20330073386430741,
+      "num_tokens": 12484880.0,
+      "step": 6850
+    },
+    {
+      "entropy": 5.31177544593811,
+      "epoch": 5.679370339685169,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00025432197636828663,
+      "loss": 4.8103,
+      "mean_token_accuracy": 0.20381423085927963,
+      "num_tokens": 12494208.0,
+      "step": 6855
+    },
+    {
+      "entropy": 5.334811210632324,
+      "epoch": 5.683512841756421,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002540037934689042,
+      "loss": 4.8024,
+      "mean_token_accuracy": 0.20098040848970414,
+      "num_tokens": 12503647.0,
+      "step": 6860
+    },
+    {
+      "entropy": 5.295432138442993,
+      "epoch": 5.687655343827672,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00025368565292116475,
+      "loss": 4.8225,
+      "mean_token_accuracy": 0.20177613645792009,
+      "num_tokens": 12512869.0,
+      "step": 6865
+    },
+    {
+      "entropy": 5.28051609992981,
+      "epoch": 5.691797845898923,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002533675553667927,
+      "loss": 4.8747,
+      "mean_token_accuracy": 0.19059171974658967,
+      "num_tokens": 12523222.0,
+      "step": 6870
+    },
+    {
+      "entropy": 5.24097170829773,
+      "epoch": 5.695940347970174,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00025304950144742523,
+      "loss": 4.7456,
+      "mean_token_accuracy": 0.20784133225679396,
+      "num_tokens": 12532343.0,
+      "step": 6875
+    },
+    {
+      "entropy": 5.255422782897949,
+      "epoch": 5.700082850041425,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002527314918046122,
+      "loss": 4.7467,
+      "mean_token_accuracy": 0.21441746652126312,
+      "num_tokens": 12541508.0,
+      "step": 6880
+    },
+    {
+      "entropy": 5.222242641448974,
+      "epoch": 5.704225352112676,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0002524135270798136,
+      "loss": 4.7731,
+      "mean_token_accuracy": 0.20265263617038726,
+      "num_tokens": 12550837.0,
+      "step": 6885
+    },
+    {
+      "entropy": 5.259101152420044,
+      "epoch": 5.708367854183927,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00025209560791439914,
+      "loss": 4.7223,
+      "mean_token_accuracy": 0.21348682641983033,
+      "num_tokens": 12559859.0,
+      "step": 6890
+    },
+    {
+      "entropy": 5.279586315155029,
+      "epoch": 5.712510356255178,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002517777349496465,
+      "loss": 4.8096,
+      "mean_token_accuracy": 0.20708946287631988,
+      "num_tokens": 12569137.0,
+      "step": 6895
+    },
+    {
+      "entropy": 5.332545948028565,
+      "epoch": 5.716652858326429,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002514599088267401,
+      "loss": 4.8391,
+      "mean_token_accuracy": 0.20370080918073655,
+      "num_tokens": 12578111.0,
+      "step": 6900
+    },
+    {
+      "entropy": 5.30065131187439,
+      "epoch": 5.72079536039768,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00025114213018677004,
+      "loss": 4.7826,
+      "mean_token_accuracy": 0.21398544907569886,
+      "num_tokens": 12587604.0,
+      "step": 6905
+    },
+    {
+      "entropy": 5.328654146194458,
+      "epoch": 5.7249378624689315,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002508243996707305,
+      "loss": 4.7982,
+      "mean_token_accuracy": 0.2033779114484787,
+      "num_tokens": 12596620.0,
+      "step": 6910
+    },
+    {
+      "entropy": 5.252767944335938,
+      "epoch": 5.729080364540183,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00025050671791951887,
+      "loss": 4.7682,
+      "mean_token_accuracy": 0.20568756759166718,
+      "num_tokens": 12605452.0,
+      "step": 6915
+    },
+    {
+      "entropy": 5.195128536224365,
+      "epoch": 5.733222866611433,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002501890855739337,
+      "loss": 4.6654,
+      "mean_token_accuracy": 0.22127037048339843,
+      "num_tokens": 12614009.0,
+      "step": 6920
+    },
+    {
+      "entropy": 5.287421989440918,
+      "epoch": 5.737365368682684,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00024987150327467414,
+      "loss": 4.8201,
+      "mean_token_accuracy": 0.2010796323418617,
+      "num_tokens": 12624135.0,
+      "step": 6925
+    },
+    {
+      "entropy": 5.221401596069336,
+      "epoch": 5.741507870753935,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024955397166233855,
+      "loss": 4.6474,
+      "mean_token_accuracy": 0.22327282428741455,
+      "num_tokens": 12632870.0,
+      "step": 6930
+    },
+    {
+      "entropy": 5.304728364944458,
+      "epoch": 5.745650372825186,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024923649137742276,
+      "loss": 4.8549,
+      "mean_token_accuracy": 0.1950896918773651,
+      "num_tokens": 12643606.0,
+      "step": 6935
+    },
+    {
+      "entropy": 5.385456705093384,
+      "epoch": 5.749792874896437,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0002489190630603194,
+      "loss": 4.8834,
+      "mean_token_accuracy": 0.20502226054668427,
+      "num_tokens": 12652926.0,
+      "step": 6940
+    },
+    {
+      "entropy": 5.331468009948731,
+      "epoch": 5.753935376967688,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002486016873513159,
+      "loss": 4.8219,
+      "mean_token_accuracy": 0.20297979861497878,
+      "num_tokens": 12661841.0,
+      "step": 6945
+    },
+    {
+      "entropy": 5.257536315917969,
+      "epoch": 5.7580778790389395,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002482843648905937,
+      "loss": 4.7409,
+      "mean_token_accuracy": 0.2069641500711441,
+      "num_tokens": 12670527.0,
+      "step": 6950
+    },
+    {
+      "entropy": 5.216205167770386,
+      "epoch": 5.762220381110191,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002479670963182271,
+      "loss": 4.7365,
+      "mean_token_accuracy": 0.19854751229286194,
+      "num_tokens": 12680346.0,
+      "step": 6955
+    },
+    {
+      "entropy": 5.315979433059693,
+      "epoch": 5.766362883181442,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00024764988227418114,
+      "loss": 4.8273,
+      "mean_token_accuracy": 0.20946504771709443,
+      "num_tokens": 12691088.0,
+      "step": 6960
+    },
+    {
+      "entropy": 5.343829536437989,
+      "epoch": 5.770505385252693,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002473327233983116,
+      "loss": 4.7894,
+      "mean_token_accuracy": 0.20746862143278122,
+      "num_tokens": 12700296.0,
+      "step": 6965
+    },
+    {
+      "entropy": 5.241484355926514,
+      "epoch": 5.774647887323944,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002470156203303622,
+      "loss": 4.7882,
+      "mean_token_accuracy": 0.20888512581586838,
+      "num_tokens": 12709595.0,
+      "step": 6970
+    },
+    {
+      "entropy": 5.276812028884888,
+      "epoch": 5.778790389395195,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0002466985737099649,
+      "loss": 4.838,
+      "mean_token_accuracy": 0.20352406352758406,
+      "num_tokens": 12719052.0,
+      "step": 6975
+    },
+    {
+      "entropy": 5.237840700149536,
+      "epoch": 5.782932891466446,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002463815841766371,
+      "loss": 4.7033,
+      "mean_token_accuracy": 0.21847177892923356,
+      "num_tokens": 12727287.0,
+      "step": 6980
+    },
+    {
+      "entropy": 5.252689790725708,
+      "epoch": 5.787075393537696,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002460646523697813,
+      "loss": 4.7649,
+      "mean_token_accuracy": 0.2055829644203186,
+      "num_tokens": 12736511.0,
+      "step": 6985
+    },
+    {
+      "entropy": 5.295902395248413,
+      "epoch": 5.7912178956089475,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00024574777892868386,
+      "loss": 4.7758,
+      "mean_token_accuracy": 0.20809024274349214,
+      "num_tokens": 12745597.0,
+      "step": 6990
+    },
+    {
+      "entropy": 5.260382986068725,
+      "epoch": 5.795360397680199,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00024543096449251286,
+      "loss": 4.6362,
+      "mean_token_accuracy": 0.221256822347641,
+      "num_tokens": 12753492.0,
+      "step": 6995
+    },
+    {
+      "entropy": 5.3082959175109865,
+      "epoch": 5.79950289975145,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002451142097003177,
+      "loss": 4.7765,
+      "mean_token_accuracy": 0.21173641979694366,
+      "num_tokens": 12761999.0,
+      "step": 7000
+    },
+    {
+      "epoch": 5.79950289975145,
+      "eval_entropy": 5.159527343473455,
+      "eval_loss": 5.7473931312561035,
+      "eval_mean_token_accuracy": 0.1656088415525361,
+      "eval_num_tokens": 12761999.0,
+      "eval_runtime": 2.7553,
+      "eval_samples_per_second": 1359.941,
+      "eval_steps_per_second": 170.219,
+      "step": 7000
+    },
+    {
+      "entropy": 5.250266122817993,
+      "epoch": 5.803645401822701,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002447975151910276,
+      "loss": 4.6884,
+      "mean_token_accuracy": 0.20662099421024321,
+      "num_tokens": 12770922.0,
+      "step": 7005
+    },
+    {
+      "entropy": 5.225958204269409,
+      "epoch": 5.807787903893952,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00024448088160344974,
+      "loss": 4.72,
+      "mean_token_accuracy": 0.2077726110816002,
+      "num_tokens": 12779539.0,
+      "step": 7010
+    },
+    {
+      "entropy": 5.266984176635742,
+      "epoch": 5.811930405965203,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002441643095762688,
+      "loss": 4.7539,
+      "mean_token_accuracy": 0.20866499096155167,
+      "num_tokens": 12788121.0,
+      "step": 7015
+    },
+    {
+      "entropy": 5.206212854385376,
+      "epoch": 5.816072908036454,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000243847799748045,
+      "loss": 4.6301,
+      "mean_token_accuracy": 0.21100328713655472,
+      "num_tokens": 12797390.0,
+      "step": 7020
+    },
+    {
+      "entropy": 5.249676036834717,
+      "epoch": 5.820215410107705,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00024353135275721356,
+      "loss": 4.8644,
+      "mean_token_accuracy": 0.19687919616699218,
+      "num_tokens": 12807876.0,
+      "step": 7025
+    },
+    {
+      "entropy": 5.184282016754151,
+      "epoch": 5.824357912178956,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00024321496924208235,
+      "loss": 4.6805,
+      "mean_token_accuracy": 0.2075910523533821,
+      "num_tokens": 12816496.0,
+      "step": 7030
+    },
+    {
+      "entropy": 5.282375478744507,
+      "epoch": 5.8285004142502075,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00024289864984083166,
+      "loss": 4.7571,
+      "mean_token_accuracy": 0.21421819925308228,
+      "num_tokens": 12825925.0,
+      "step": 7035
+    },
+    {
+      "entropy": 5.330373096466064,
+      "epoch": 5.832642916321458,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002425823951915122,
+      "loss": 4.776,
+      "mean_token_accuracy": 0.20406203866004943,
+      "num_tokens": 12835479.0,
+      "step": 7040
+    },
+    {
+      "entropy": 5.227119112014771,
+      "epoch": 5.836785418392709,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002422662059320442,
+      "loss": 4.6764,
+      "mean_token_accuracy": 0.2194245144724846,
+      "num_tokens": 12844024.0,
+      "step": 7045
+    },
+    {
+      "entropy": 5.242313861846924,
+      "epoch": 5.84092792046396,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00024195008270021595,
+      "loss": 4.6767,
+      "mean_token_accuracy": 0.21089302152395248,
+      "num_tokens": 12852673.0,
+      "step": 7050
+    },
+    {
+      "entropy": 5.168107366561889,
+      "epoch": 5.845070422535211,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00024163402613368252,
+      "loss": 4.7042,
+      "mean_token_accuracy": 0.21519682556390762,
+      "num_tokens": 12861191.0,
+      "step": 7055
+    },
+    {
+      "entropy": 5.273849678039551,
+      "epoch": 5.849212924606462,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00024131803686996457,
+      "loss": 4.8483,
+      "mean_token_accuracy": 0.20502860397100447,
+      "num_tokens": 12870874.0,
+      "step": 7060
+    },
+    {
+      "entropy": 5.314899635314942,
+      "epoch": 5.853355426677713,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00024100211554644696,
+      "loss": 4.7741,
+      "mean_token_accuracy": 0.21026002764701843,
+      "num_tokens": 12879896.0,
+      "step": 7065
+    },
+    {
+      "entropy": 5.297897291183472,
+      "epoch": 5.857497928748964,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00024068626280037753,
+      "loss": 4.786,
+      "mean_token_accuracy": 0.20807335823774337,
+      "num_tokens": 12888665.0,
+      "step": 7070
+    },
+    {
+      "entropy": 5.261636590957641,
+      "epoch": 5.8616404308202155,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00024037047926886578,
+      "loss": 4.7416,
+      "mean_token_accuracy": 0.20277187824249268,
+      "num_tokens": 12897477.0,
+      "step": 7075
+    },
+    {
+      "entropy": 5.251101160049439,
+      "epoch": 5.865782932891467,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024005476558888172,
+      "loss": 4.794,
+      "mean_token_accuracy": 0.2007831260561943,
+      "num_tokens": 12905934.0,
+      "step": 7080
+    },
+    {
+      "entropy": 5.255609798431396,
+      "epoch": 5.869925434962718,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002397391223972541,
+      "loss": 4.7929,
+      "mean_token_accuracy": 0.20374300181865693,
+      "num_tokens": 12915092.0,
+      "step": 7085
+    },
+    {
+      "entropy": 5.2630064487457275,
+      "epoch": 5.874067937033969,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00023942355033066993,
+      "loss": 4.8721,
+      "mean_token_accuracy": 0.19899580031633377,
+      "num_tokens": 12924775.0,
+      "step": 7090
+    },
+    {
+      "entropy": 5.329388093948364,
+      "epoch": 5.87821043910522,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00023910805002567244,
+      "loss": 4.7789,
+      "mean_token_accuracy": 0.2048063576221466,
+      "num_tokens": 12933677.0,
+      "step": 7095
+    },
+    {
+      "entropy": 5.261180973052978,
+      "epoch": 5.882352941176471,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002387926221186603,
+      "loss": 4.8017,
+      "mean_token_accuracy": 0.2079474300146103,
+      "num_tokens": 12942416.0,
+      "step": 7100
+    },
+    {
+      "entropy": 5.231311798095703,
+      "epoch": 5.886495443247721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00023847726724588608,
+      "loss": 4.7718,
+      "mean_token_accuracy": 0.21066755801439285,
+      "num_tokens": 12952284.0,
+      "step": 7105
+    },
+    {
+      "entropy": 5.278716087341309,
+      "epoch": 5.890637945318972,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002381619860434549,
+      "loss": 4.8123,
+      "mean_token_accuracy": 0.19911128133535386,
+      "num_tokens": 12960694.0,
+      "step": 7110
+    },
+    {
+      "entropy": 5.215971040725708,
+      "epoch": 5.894780447390223,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00023784677914732356,
+      "loss": 4.727,
+      "mean_token_accuracy": 0.20931341648101806,
+      "num_tokens": 12969138.0,
+      "step": 7115
+    },
+    {
+      "entropy": 5.292342042922973,
+      "epoch": 5.8989229494614746,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00023753164719329868,
+      "loss": 4.766,
+      "mean_token_accuracy": 0.20421497970819474,
+      "num_tokens": 12978518.0,
+      "step": 7120
+    },
+    {
+      "entropy": 5.309631299972534,
+      "epoch": 5.903065451532726,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00023721659081703595,
+      "loss": 4.7856,
+      "mean_token_accuracy": 0.2164353221654892,
+      "num_tokens": 12987506.0,
+      "step": 7125
+    },
+    {
+      "entropy": 5.2704308986663815,
+      "epoch": 5.907207953603977,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023690161065403838,
+      "loss": 4.7667,
+      "mean_token_accuracy": 0.20384967178106309,
+      "num_tokens": 12996259.0,
+      "step": 7130
+    },
+    {
+      "entropy": 5.284243488311768,
+      "epoch": 5.911350455675228,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002365867073396555,
+      "loss": 4.7914,
+      "mean_token_accuracy": 0.20621232688426971,
+      "num_tokens": 13005430.0,
+      "step": 7135
+    },
+    {
+      "entropy": 5.2192955493927,
+      "epoch": 5.915492957746479,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023627188150908174,
+      "loss": 4.7414,
+      "mean_token_accuracy": 0.21523537784814833,
+      "num_tokens": 13014915.0,
+      "step": 7140
+    },
+    {
+      "entropy": 5.267714023590088,
+      "epoch": 5.91963545981773,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00023595713379735494,
+      "loss": 4.7483,
+      "mean_token_accuracy": 0.20747244358062744,
+      "num_tokens": 13023471.0,
+      "step": 7145
+    },
+    {
+      "entropy": 5.29262957572937,
+      "epoch": 5.923777961888981,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00023564246483935602,
+      "loss": 4.7364,
+      "mean_token_accuracy": 0.20276205390691757,
+      "num_tokens": 13033270.0,
+      "step": 7150
+    },
+    {
+      "entropy": 5.26424388885498,
+      "epoch": 5.927920463960232,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002353278752698063,
+      "loss": 4.7029,
+      "mean_token_accuracy": 0.2120548114180565,
+      "num_tokens": 13043300.0,
+      "step": 7155
+    },
+    {
+      "entropy": 5.261445045471191,
+      "epoch": 5.9320629660314825,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002350133657232676,
+      "loss": 4.7627,
+      "mean_token_accuracy": 0.20174376368522645,
+      "num_tokens": 13052152.0,
+      "step": 7160
+    },
+    {
+      "entropy": 5.286171960830688,
+      "epoch": 5.9362054681027345,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002346989368341399,
+      "loss": 4.8033,
+      "mean_token_accuracy": 0.20869386494159697,
+      "num_tokens": 13061704.0,
+      "step": 7165
+    },
+    {
+      "entropy": 5.280704736709595,
+      "epoch": 5.940347970173985,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023438458923666057,
+      "loss": 4.7209,
+      "mean_token_accuracy": 0.2152332365512848,
+      "num_tokens": 13071055.0,
+      "step": 7170
+    },
+    {
+      "entropy": 5.268754768371582,
+      "epoch": 5.944490472245236,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002340703235649032,
+      "loss": 4.8331,
+      "mean_token_accuracy": 0.1926100879907608,
+      "num_tokens": 13080023.0,
+      "step": 7175
+    },
+    {
+      "entropy": 5.263068819046021,
+      "epoch": 5.948632974316487,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00023375614045277593,
+      "loss": 4.7536,
+      "mean_token_accuracy": 0.20691772699356079,
+      "num_tokens": 13088690.0,
+      "step": 7180
+    },
+    {
+      "entropy": 5.232177972793579,
+      "epoch": 5.952775476387738,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00023344204053402047,
+      "loss": 4.7377,
+      "mean_token_accuracy": 0.21229761391878127,
+      "num_tokens": 13097116.0,
+      "step": 7185
+    },
+    {
+      "entropy": 5.343814706802368,
+      "epoch": 5.956917978458989,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00023312802444221066,
+      "loss": 4.7995,
+      "mean_token_accuracy": 0.20769918113946914,
+      "num_tokens": 13106463.0,
+      "step": 7190
+    },
+    {
+      "entropy": 5.273978662490845,
+      "epoch": 5.96106048053024,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002328140928107511,
+      "loss": 4.7045,
+      "mean_token_accuracy": 0.21413260698318481,
+      "num_tokens": 13115769.0,
+      "step": 7195
+    },
+    {
+      "entropy": 5.293670988082885,
+      "epoch": 5.965202982601491,
+      "grad_norm": 1.6875,
+      "learning_rate": 0.0002325002462728766,
+      "loss": 4.8058,
+      "mean_token_accuracy": 0.20858496129512788,
+      "num_tokens": 13124928.0,
+      "step": 7200
+    },
+    {
+      "entropy": 5.264481544494629,
+      "epoch": 5.9693454846727425,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00023218648546164945,
+      "loss": 4.7587,
+      "mean_token_accuracy": 0.20816877782344817,
+      "num_tokens": 13134106.0,
+      "step": 7205
+    },
+    {
+      "entropy": 5.401337671279907,
+      "epoch": 5.973487986743994,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002318728110099599,
+      "loss": 4.9463,
+      "mean_token_accuracy": 0.19887659698724747,
+      "num_tokens": 13143019.0,
+      "step": 7210
+    },
+    {
+      "entropy": 5.267350912094116,
+      "epoch": 5.977630488815245,
+      "grad_norm": 1.625,
+      "learning_rate": 0.00023155922355052339,
+      "loss": 4.6633,
+      "mean_token_accuracy": 0.223431359231472,
+      "num_tokens": 13152675.0,
+      "step": 7215
+    },
+    {
+      "entropy": 5.256755113601685,
+      "epoch": 5.981772990886496,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00023124572371588,
+      "loss": 4.6968,
+      "mean_token_accuracy": 0.2141074687242508,
+      "num_tokens": 13161094.0,
+      "step": 7220
+    },
+    {
+      "entropy": 5.22665810585022,
+      "epoch": 5.985915492957746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00023093231213839344,
+      "loss": 4.7801,
+      "mean_token_accuracy": 0.2072029694914818,
+      "num_tokens": 13170858.0,
+      "step": 7225
+    },
+    {
+      "entropy": 5.248539400100708,
+      "epoch": 5.990057995028997,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002306189894502488,
+      "loss": 4.8402,
+      "mean_token_accuracy": 0.1976972222328186,
+      "num_tokens": 13179668.0,
+      "step": 7230
+    },
+    {
+      "entropy": 5.278863763809204,
+      "epoch": 5.994200497100248,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00023030575628345246,
+      "loss": 4.7021,
+      "mean_token_accuracy": 0.2132765233516693,
+      "num_tokens": 13188312.0,
+      "step": 7235
+    },
+    {
+      "entropy": 5.254744529724121,
+      "epoch": 5.998342999171499,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022999261326982985,
+      "loss": 4.7474,
+      "mean_token_accuracy": 0.20551027208566666,
+      "num_tokens": 13196989.0,
+      "step": 7240
+    },
+    {
+      "entropy": 5.215828323364258,
+      "epoch": 6.0024855012427505,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00022967956104102445,
+      "loss": 4.6371,
+      "mean_token_accuracy": 0.21983437091112137,
+      "num_tokens": 13205830.0,
+      "step": 7245
+    },
+    {
+      "entropy": 5.325025272369385,
+      "epoch": 6.006628003314002,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00022936660022849714,
+      "loss": 4.5948,
+      "mean_token_accuracy": 0.22821232080459594,
+      "num_tokens": 13214711.0,
+      "step": 7250
+    },
+    {
+      "entropy": 5.262428140640258,
+      "epoch": 6.010770505385253,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022905373146352382,
+      "loss": 4.6602,
+      "mean_token_accuracy": 0.21241429150104524,
+      "num_tokens": 13223736.0,
+      "step": 7255
+    },
+    {
+      "entropy": 5.257147979736328,
+      "epoch": 6.014913007456504,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002287409553771952,
+      "loss": 4.556,
+      "mean_token_accuracy": 0.22737590819597245,
+      "num_tokens": 13232666.0,
+      "step": 7260
+    },
+    {
+      "entropy": 5.291457891464233,
+      "epoch": 6.019055509527755,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00022842827260041455,
+      "loss": 4.5848,
+      "mean_token_accuracy": 0.21761821508407592,
+      "num_tokens": 13241770.0,
+      "step": 7265
+    },
+    {
+      "entropy": 5.261249971389771,
+      "epoch": 6.023198011599006,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00022811568376389745,
+      "loss": 4.5326,
+      "mean_token_accuracy": 0.22425681203603745,
+      "num_tokens": 13250475.0,
+      "step": 7270
+    },
+    {
+      "entropy": 5.233007001876831,
+      "epoch": 6.027340513670257,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00022780318949816963,
+      "loss": 4.5183,
+      "mean_token_accuracy": 0.22254440933465958,
+      "num_tokens": 13259587.0,
+      "step": 7275
+    },
+    {
+      "entropy": 5.216541528701782,
+      "epoch": 6.031483015741508,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00022749079043356623,
+      "loss": 4.5404,
+      "mean_token_accuracy": 0.23734405487775803,
+      "num_tokens": 13269681.0,
+      "step": 7280
+    },
+    {
+      "entropy": 5.211581516265869,
+      "epoch": 6.0356255178127585,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00022717848720023022,
+      "loss": 4.5539,
+      "mean_token_accuracy": 0.2277751386165619,
+      "num_tokens": 13278186.0,
+      "step": 7285
+    },
+    {
+      "entropy": 5.25051851272583,
+      "epoch": 6.03976801988401,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022686628042811142,
+      "loss": 4.6462,
+      "mean_token_accuracy": 0.21404165476560594,
+      "num_tokens": 13287194.0,
+      "step": 7290
+    },
+    {
+      "entropy": 5.334251356124878,
+      "epoch": 6.043910521955261,
+      "grad_norm": 1.375,
+      "learning_rate": 0.000226554170746965,
+      "loss": 4.6707,
+      "mean_token_accuracy": 0.21294027268886567,
+      "num_tokens": 13296774.0,
+      "step": 7295
+    },
+    {
+      "entropy": 5.338882112503052,
+      "epoch": 6.048053024026512,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00022624215878635023,
+      "loss": 4.5887,
+      "mean_token_accuracy": 0.21931985318660735,
+      "num_tokens": 13306368.0,
+      "step": 7300
+    },
+    {
+      "entropy": 5.310757160186768,
+      "epoch": 6.052195526097763,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00022593024517562945,
+      "loss": 4.5551,
+      "mean_token_accuracy": 0.22974174320697785,
+      "num_tokens": 13315393.0,
+      "step": 7305
+    },
+    {
+      "entropy": 5.216650152206421,
+      "epoch": 6.056338028169014,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022561843054396636,
+      "loss": 4.5496,
+      "mean_token_accuracy": 0.22554152607917785,
+      "num_tokens": 13324384.0,
+      "step": 7310
+    },
+    {
+      "entropy": 5.265720653533935,
+      "epoch": 6.060480530240265,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00022530671552032521,
+      "loss": 4.6095,
+      "mean_token_accuracy": 0.2231447860598564,
+      "num_tokens": 13333191.0,
+      "step": 7315
+    },
+    {
+      "entropy": 5.269006586074829,
+      "epoch": 6.064623032311516,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002249951007334693,
+      "loss": 4.6016,
+      "mean_token_accuracy": 0.21682012677192689,
+      "num_tokens": 13342911.0,
+      "step": 7320
+    },
+    {
+      "entropy": 5.313802003860474,
+      "epoch": 6.068765534382767,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00022468358681195966,
+      "loss": 4.5911,
+      "mean_token_accuracy": 0.2220294862985611,
+      "num_tokens": 13352464.0,
+      "step": 7325
+    },
+    {
+      "entropy": 5.279155349731445,
+      "epoch": 6.072908036454018,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00022437217438415393,
+      "loss": 4.5871,
+      "mean_token_accuracy": 0.22435862571001053,
+      "num_tokens": 13361812.0,
+      "step": 7330
+    },
+    {
+      "entropy": 5.328032398223877,
+      "epoch": 6.0770505385252696,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00022406086407820503,
+      "loss": 4.6541,
+      "mean_token_accuracy": 0.21680645495653153,
+      "num_tokens": 13372080.0,
+      "step": 7335
+    },
+    {
+      "entropy": 5.283897733688354,
+      "epoch": 6.081193040596521,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022374965652205975,
+      "loss": 4.6976,
+      "mean_token_accuracy": 0.20982298403978347,
+      "num_tokens": 13380897.0,
+      "step": 7340
+    },
+    {
+      "entropy": 5.338993167877197,
+      "epoch": 6.085335542667772,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022343855234345796,
+      "loss": 4.6891,
+      "mean_token_accuracy": 0.21388355493545533,
+      "num_tokens": 13389885.0,
+      "step": 7345
+    },
+    {
+      "entropy": 5.288727903366089,
+      "epoch": 6.089478044739022,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00022312755216993065,
+      "loss": 4.6211,
+      "mean_token_accuracy": 0.21839348524808883,
+      "num_tokens": 13399734.0,
+      "step": 7350
+    },
+    {
+      "entropy": 5.224732303619385,
+      "epoch": 6.093620546810273,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00022281665662879903,
+      "loss": 4.5653,
+      "mean_token_accuracy": 0.22080505937337874,
+      "num_tokens": 13408641.0,
+      "step": 7355
+    },
+    {
+      "entropy": 5.2608020305633545,
+      "epoch": 6.097763048881524,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00022250586634717362,
+      "loss": 4.6026,
+      "mean_token_accuracy": 0.21388103663921357,
+      "num_tokens": 13418585.0,
+      "step": 7360
+    },
+    {
+      "entropy": 5.244136095046997,
+      "epoch": 6.101905550952775,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00022219518195195216,
+      "loss": 4.5367,
+      "mean_token_accuracy": 0.22432616204023362,
+      "num_tokens": 13427897.0,
+      "step": 7365
+    },
+    {
+      "entropy": 5.131761312484741,
+      "epoch": 6.106048053024026,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00022188460406981925,
+      "loss": 4.4993,
+      "mean_token_accuracy": 0.22558098286390305,
+      "num_tokens": 13437311.0,
+      "step": 7370
+    },
+    {
+      "entropy": 5.284880685806274,
+      "epoch": 6.1101905550952775,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00022157413332724436,
+      "loss": 4.5608,
+      "mean_token_accuracy": 0.22710221409797668,
+      "num_tokens": 13446359.0,
+      "step": 7375
+    },
+    {
+      "entropy": 5.326997709274292,
+      "epoch": 6.114333057166529,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00022126377035048072,
+      "loss": 4.6056,
+      "mean_token_accuracy": 0.22011455297470092,
+      "num_tokens": 13455302.0,
+      "step": 7380
+    },
+    {
+      "entropy": 5.365768575668335,
+      "epoch": 6.11847555923778,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0002209535157655646,
+      "loss": 4.6937,
+      "mean_token_accuracy": 0.21688085198402404,
+      "num_tokens": 13466391.0,
+      "step": 7385
+    },
+    {
+      "entropy": 5.246037006378174,
+      "epoch": 6.122618061309031,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00022064337019831322,
+      "loss": 4.547,
+      "mean_token_accuracy": 0.22545033246278762,
+      "num_tokens": 13476130.0,
+      "step": 7390
+    },
+    {
+      "entropy": 5.183640670776367,
+      "epoch": 6.126760563380282,
+      "grad_norm": 1.6171875,
+      "learning_rate": 0.00022033333427432422,
+      "loss": 4.5326,
+      "mean_token_accuracy": 0.22769198417663575,
+      "num_tokens": 13485105.0,
+      "step": 7395
+    },
+    {
+      "entropy": 5.284799098968506,
+      "epoch": 6.130903065451533,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002200234086189738,
+      "loss": 4.5988,
+      "mean_token_accuracy": 0.21623703986406326,
+      "num_tokens": 13494914.0,
+      "step": 7400
+    },
+    {
+      "entropy": 5.291166830062866,
+      "epoch": 6.135045567522784,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00021971359385741608,
+      "loss": 4.6312,
+      "mean_token_accuracy": 0.21725507229566574,
+      "num_tokens": 13504293.0,
+      "step": 7405
+    },
+    {
+      "entropy": 5.350364637374878,
+      "epoch": 6.139188069594034,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00021940389061458115,
+      "loss": 4.6935,
+      "mean_token_accuracy": 0.22431259900331496,
+      "num_tokens": 13513972.0,
+      "step": 7410
+    },
+    {
+      "entropy": 5.278038835525512,
+      "epoch": 6.1433305716652855,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002190942995151743,
+      "loss": 4.6089,
+      "mean_token_accuracy": 0.2185722753405571,
+      "num_tokens": 13522508.0,
+      "step": 7415
+    },
+    {
+      "entropy": 5.296834516525268,
+      "epoch": 6.147473073736537,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0002187848211836746,
+      "loss": 4.53,
+      "mean_token_accuracy": 0.22915603816509247,
+      "num_tokens": 13531235.0,
+      "step": 7420
+    },
+    {
+      "entropy": 5.256722116470337,
+      "epoch": 6.151615575807788,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002184754562443337,
+      "loss": 4.5707,
+      "mean_token_accuracy": 0.22529171109199525,
+      "num_tokens": 13541023.0,
+      "step": 7425
+    },
+    {
+      "entropy": 5.217341756820678,
+      "epoch": 6.155758077879039,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00021816620532117448,
+      "loss": 4.5852,
+      "mean_token_accuracy": 0.2248647004365921,
+      "num_tokens": 13550622.0,
+      "step": 7430
+    },
+    {
+      "entropy": 5.230591440200806,
+      "epoch": 6.15990057995029,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002178570690379899,
+      "loss": 4.6031,
+      "mean_token_accuracy": 0.21641309708356857,
+      "num_tokens": 13559423.0,
+      "step": 7435
+    },
+    {
+      "entropy": 5.235513544082641,
+      "epoch": 6.164043082021541,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00021754804801834144,
+      "loss": 4.5917,
+      "mean_token_accuracy": 0.21699417978525162,
+      "num_tokens": 13569306.0,
+      "step": 7440
+    },
+    {
+      "entropy": 5.228752660751343,
+      "epoch": 6.168185584092792,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0002172391428855585,
+      "loss": 4.5366,
+      "mean_token_accuracy": 0.22735673934221268,
+      "num_tokens": 13578367.0,
+      "step": 7445
+    },
+    {
+      "entropy": 5.265543508529663,
+      "epoch": 6.172328086164043,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00021693035426273633,
+      "loss": 4.5986,
+      "mean_token_accuracy": 0.21967096477746964,
+      "num_tokens": 13586930.0,
+      "step": 7450
+    },
+    {
+      "entropy": 5.246473407745361,
+      "epoch": 6.176470588235294,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.00021662168277273547,
+      "loss": 4.5681,
+      "mean_token_accuracy": 0.22939085811376572,
+      "num_tokens": 13595891.0,
+      "step": 7455
+    },
+    {
+      "entropy": 5.319870328903198,
+      "epoch": 6.1806130903065455,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002163131290381799,
+      "loss": 4.6599,
+      "mean_token_accuracy": 0.20967274755239487,
+      "num_tokens": 13605786.0,
+      "step": 7460
+    },
+    {
+      "entropy": 5.238808870315552,
+      "epoch": 6.184755592377797,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00021600469368145624,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.2280669927597046,
+      "num_tokens": 13614561.0,
+      "step": 7465
+    },
+    {
+      "entropy": 5.226732301712036,
+      "epoch": 6.188898094449047,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002156963773247124,
+      "loss": 4.5554,
+      "mean_token_accuracy": 0.22617974877357483,
+      "num_tokens": 13622853.0,
+      "step": 7470
+    },
+    {
+      "entropy": 5.20526967048645,
+      "epoch": 6.193040596520298,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002153881805898561,
+      "loss": 4.5398,
+      "mean_token_accuracy": 0.22647101283073426,
+      "num_tokens": 13631709.0,
+      "step": 7475
+    },
+    {
+      "entropy": 5.293169021606445,
+      "epoch": 6.197183098591549,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.0002150801040985539,
+      "loss": 4.63,
+      "mean_token_accuracy": 0.21966254264116286,
+      "num_tokens": 13640854.0,
+      "step": 7480
+    },
+    {
+      "entropy": 5.218788433074951,
+      "epoch": 6.2013256006628,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00021477214847222958,
+      "loss": 4.5758,
+      "mean_token_accuracy": 0.21710532903671265,
+      "num_tokens": 13649318.0,
+      "step": 7485
+    },
+    {
+      "entropy": 5.315838146209717,
+      "epoch": 6.205468102734051,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00021446431433206348,
+      "loss": 4.6349,
+      "mean_token_accuracy": 0.22002605497837066,
+      "num_tokens": 13658738.0,
+      "step": 7490
+    },
+    {
+      "entropy": 5.187892484664917,
+      "epoch": 6.209610604805302,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002141566022989907,
+      "loss": 4.5484,
+      "mean_token_accuracy": 0.2262681856751442,
+      "num_tokens": 13667315.0,
+      "step": 7495
+    },
+    {
+      "entropy": 5.282585573196411,
+      "epoch": 6.2137531068765535,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002138490129936998,
+      "loss": 4.6721,
+      "mean_token_accuracy": 0.21348128467798233,
+      "num_tokens": 13676665.0,
+      "step": 7500
+    },
+    {
+      "epoch": 6.2137531068765535,
+      "eval_entropy": 5.127327098521088,
+      "eval_loss": 5.749592304229736,
+      "eval_mean_token_accuracy": 0.16626126474853772,
+      "eval_num_tokens": 13676665.0,
+      "eval_runtime": 2.7442,
+      "eval_samples_per_second": 1365.431,
+      "eval_steps_per_second": 170.907,
+      "step": 7500
+    },
+    {
+      "entropy": 5.220932197570801,
+      "epoch": 6.217895608947805,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0002135415470366323,
+      "loss": 4.6065,
+      "mean_token_accuracy": 0.21874047368764876,
+      "num_tokens": 13685774.0,
+      "step": 7505
+    },
+    {
+      "entropy": 5.261872863769531,
+      "epoch": 6.222038111019056,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00021323420504798047,
+      "loss": 4.6324,
+      "mean_token_accuracy": 0.21970156878232955,
+      "num_tokens": 13695700.0,
+      "step": 7510
+    },
+    {
+      "entropy": 5.301397752761841,
+      "epoch": 6.226180613090307,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021292698764768675,
+      "loss": 4.6432,
+      "mean_token_accuracy": 0.21851994693279267,
+      "num_tokens": 13704675.0,
+      "step": 7515
+    },
+    {
+      "entropy": 5.2542356014251705,
+      "epoch": 6.230323115161558,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00021261989545544218,
+      "loss": 4.6623,
+      "mean_token_accuracy": 0.22553315609693528,
+      "num_tokens": 13714562.0,
+      "step": 7520
+    },
+    {
+      "entropy": 5.318307209014892,
+      "epoch": 6.234465617232809,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00021231292909068534,
+      "loss": 4.6448,
+      "mean_token_accuracy": 0.22140212655067443,
+      "num_tokens": 13723917.0,
+      "step": 7525
+    },
+    {
+      "entropy": 5.254926586151123,
+      "epoch": 6.238608119304059,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00021200608917260082,
+      "loss": 4.5832,
+      "mean_token_accuracy": 0.22523251920938492,
+      "num_tokens": 13732482.0,
+      "step": 7530
+    },
+    {
+      "entropy": 5.272995328903198,
+      "epoch": 6.24275062137531,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00021169937632011838,
+      "loss": 4.6548,
+      "mean_token_accuracy": 0.2194363296031952,
+      "num_tokens": 13742110.0,
+      "step": 7535
+    },
+    {
+      "entropy": 5.238206005096435,
+      "epoch": 6.2468931234465614,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00021139279115191123,
+      "loss": 4.574,
+      "mean_token_accuracy": 0.21389349400997162,
+      "num_tokens": 13750501.0,
+      "step": 7540
+    },
+    {
+      "entropy": 5.236702632904053,
+      "epoch": 6.2510356255178126,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00021108633428639534,
+      "loss": 4.545,
+      "mean_token_accuracy": 0.22685909420251846,
+      "num_tokens": 13759786.0,
+      "step": 7545
+    },
+    {
+      "entropy": 5.279770469665527,
+      "epoch": 6.255178127589064,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002107800063417275,
+      "loss": 4.6241,
+      "mean_token_accuracy": 0.21795655339956282,
+      "num_tokens": 13768476.0,
+      "step": 7550
+    },
+    {
+      "entropy": 5.29005618095398,
+      "epoch": 6.259320629660315,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002104738079358048,
+      "loss": 4.6586,
+      "mean_token_accuracy": 0.20849181562662125,
+      "num_tokens": 13778721.0,
+      "step": 7555
+    },
+    {
+      "entropy": 5.281201648712158,
+      "epoch": 6.263463131731566,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002101677396862628,
+      "loss": 4.6196,
+      "mean_token_accuracy": 0.22399465888738632,
+      "num_tokens": 13787108.0,
+      "step": 7560
+    },
+    {
+      "entropy": 5.1881067752838135,
+      "epoch": 6.267605633802817,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00020986180221047463,
+      "loss": 4.5398,
+      "mean_token_accuracy": 0.23230253010988236,
+      "num_tokens": 13795021.0,
+      "step": 7565
+    },
+    {
+      "entropy": 5.190041732788086,
+      "epoch": 6.271748135874068,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00020955599612554966,
+      "loss": 4.5887,
+      "mean_token_accuracy": 0.2193624496459961,
+      "num_tokens": 13804750.0,
+      "step": 7570
+    },
+    {
+      "entropy": 5.2463373184204105,
+      "epoch": 6.275890637945319,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00020925032204833206,
+      "loss": 4.5784,
+      "mean_token_accuracy": 0.22109659761190414,
+      "num_tokens": 13813910.0,
+      "step": 7575
+    },
+    {
+      "entropy": 5.329188394546509,
+      "epoch": 6.28003314001657,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00020894478059539995,
+      "loss": 4.5427,
+      "mean_token_accuracy": 0.2241484045982361,
+      "num_tokens": 13822832.0,
+      "step": 7580
+    },
+    {
+      "entropy": 5.204854440689087,
+      "epoch": 6.284175642087821,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00020863937238306375,
+      "loss": 4.5541,
+      "mean_token_accuracy": 0.2280479699373245,
+      "num_tokens": 13831951.0,
+      "step": 7585
+    },
+    {
+      "entropy": 5.172011041641236,
+      "epoch": 6.2883181441590725,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00020833409802736535,
+      "loss": 4.524,
+      "mean_token_accuracy": 0.23316972702741623,
+      "num_tokens": 13840422.0,
+      "step": 7590
+    },
+    {
+      "entropy": 5.306167030334473,
+      "epoch": 6.292460646230323,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00020802895814407636,
+      "loss": 4.6365,
+      "mean_token_accuracy": 0.22030848115682602,
+      "num_tokens": 13850903.0,
+      "step": 7595
+    },
+    {
+      "entropy": 5.244341468811035,
+      "epoch": 6.296603148301574,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002077239533486972,
+      "loss": 4.6811,
+      "mean_token_accuracy": 0.20490736216306688,
+      "num_tokens": 13859972.0,
+      "step": 7600
+    },
+    {
+      "entropy": 5.235301160812378,
+      "epoch": 6.300745650372825,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00020741908425645606,
+      "loss": 4.658,
+      "mean_token_accuracy": 0.21515794545412065,
+      "num_tokens": 13868980.0,
+      "step": 7605
+    },
+    {
+      "entropy": 5.259301996231079,
+      "epoch": 6.304888152444076,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00020711435148230707,
+      "loss": 4.5874,
+      "mean_token_accuracy": 0.21832506507635116,
+      "num_tokens": 13877901.0,
+      "step": 7610
+    },
+    {
+      "entropy": 5.245576858520508,
+      "epoch": 6.309030654515327,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00020680975564092968,
+      "loss": 4.5697,
+      "mean_token_accuracy": 0.21962837278842925,
+      "num_tokens": 13887081.0,
+      "step": 7615
+    },
+    {
+      "entropy": 5.283494472503662,
+      "epoch": 6.313173156586578,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00020650529734672686,
+      "loss": 4.693,
+      "mean_token_accuracy": 0.21509333699941635,
+      "num_tokens": 13896645.0,
+      "step": 7620
+    },
+    {
+      "entropy": 5.340816831588745,
+      "epoch": 6.317315658657829,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00020620097721382424,
+      "loss": 4.6349,
+      "mean_token_accuracy": 0.21796356588602067,
+      "num_tokens": 13905975.0,
+      "step": 7625
+    },
+    {
+      "entropy": 5.3276678085327145,
+      "epoch": 6.3214581607290805,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0002058967958560689,
+      "loss": 4.6067,
+      "mean_token_accuracy": 0.22121513932943343,
+      "num_tokens": 13914605.0,
+      "step": 7630
+    },
+    {
+      "entropy": 5.256007862091065,
+      "epoch": 6.325600662800332,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00020559275388702775,
+      "loss": 4.5442,
+      "mean_token_accuracy": 0.23139581084251404,
+      "num_tokens": 13924592.0,
+      "step": 7635
+    },
+    {
+      "entropy": 5.187183284759522,
+      "epoch": 6.329743164871583,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00020528885191998682,
+      "loss": 4.5649,
+      "mean_token_accuracy": 0.22332944571971894,
+      "num_tokens": 13933513.0,
+      "step": 7640
+    },
+    {
+      "entropy": 5.1399694919586185,
+      "epoch": 6.333885666942834,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00020498509056794952,
+      "loss": 4.4652,
+      "mean_token_accuracy": 0.23895961940288543,
+      "num_tokens": 13942173.0,
+      "step": 7645
+    },
+    {
+      "entropy": 5.177120351791382,
+      "epoch": 6.338028169014084,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00020468147044363556,
+      "loss": 4.4955,
+      "mean_token_accuracy": 0.22771447747945786,
+      "num_tokens": 13950205.0,
+      "step": 7650
+    },
+    {
+      "entropy": 5.22398190498352,
+      "epoch": 6.342170671085335,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00020437799215948017,
+      "loss": 4.5753,
+      "mean_token_accuracy": 0.22749822586774826,
+      "num_tokens": 13958956.0,
+      "step": 7655
+    },
+    {
+      "entropy": 5.209628582000732,
+      "epoch": 6.346313173156586,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002040746563276319,
+      "loss": 4.5665,
+      "mean_token_accuracy": 0.22033885568380357,
+      "num_tokens": 13967718.0,
+      "step": 7660
+    },
+    {
+      "entropy": 5.235432434082031,
+      "epoch": 6.350455675227837,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00020377146355995257,
+      "loss": 4.6617,
+      "mean_token_accuracy": 0.21480744183063508,
+      "num_tokens": 13976841.0,
+      "step": 7665
+    },
+    {
+      "entropy": 5.287872982025147,
+      "epoch": 6.3545981772990885,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00020346841446801495,
+      "loss": 4.5404,
+      "mean_token_accuracy": 0.22639259397983552,
+      "num_tokens": 13984946.0,
+      "step": 7670
+    },
+    {
+      "entropy": 5.257662773132324,
+      "epoch": 6.35874067937034,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00020316550966310222,
+      "loss": 4.6067,
+      "mean_token_accuracy": 0.21685410737991334,
+      "num_tokens": 13993521.0,
+      "step": 7675
+    },
+    {
+      "entropy": 5.183994293212891,
+      "epoch": 6.362883181441591,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002028627497562065,
+      "loss": 4.5771,
+      "mean_token_accuracy": 0.2181665539741516,
+      "num_tokens": 14002777.0,
+      "step": 7680
+    },
+    {
+      "entropy": 5.246474266052246,
+      "epoch": 6.367025683512842,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00020256013535802748,
+      "loss": 4.6261,
+      "mean_token_accuracy": 0.21209287494421006,
+      "num_tokens": 14012708.0,
+      "step": 7685
+    },
+    {
+      "entropy": 5.28727445602417,
+      "epoch": 6.371168185584093,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002022576670789717,
+      "loss": 4.6394,
+      "mean_token_accuracy": 0.2155505269765854,
+      "num_tokens": 14021088.0,
+      "step": 7690
+    },
+    {
+      "entropy": 5.280440044403076,
+      "epoch": 6.375310687655344,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002019553455291505,
+      "loss": 4.6378,
+      "mean_token_accuracy": 0.21615593284368514,
+      "num_tokens": 14031650.0,
+      "step": 7695
+    },
+    {
+      "entropy": 5.240458631515503,
+      "epoch": 6.379453189726595,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002016531713183797,
+      "loss": 4.6676,
+      "mean_token_accuracy": 0.21988083124160768,
+      "num_tokens": 14040741.0,
+      "step": 7700
+    },
+    {
+      "entropy": 5.242792797088623,
+      "epoch": 6.383595691797846,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00020135114505617752,
+      "loss": 4.6373,
+      "mean_token_accuracy": 0.2093031659722328,
+      "num_tokens": 14049913.0,
+      "step": 7705
+    },
+    {
+      "entropy": 5.277075576782226,
+      "epoch": 6.387738193869097,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00020104926735176393,
+      "loss": 4.5918,
+      "mean_token_accuracy": 0.22735825777053834,
+      "num_tokens": 14059583.0,
+      "step": 7710
+    },
+    {
+      "entropy": 5.327569150924683,
+      "epoch": 6.391880695940348,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00020074753881405949,
+      "loss": 4.5526,
+      "mean_token_accuracy": 0.22584011256694794,
+      "num_tokens": 14067376.0,
+      "step": 7715
+    },
+    {
+      "entropy": 5.247530269622803,
+      "epoch": 6.396023198011599,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002004459600516833,
+      "loss": 4.6272,
+      "mean_token_accuracy": 0.22265007048845292,
+      "num_tokens": 14076415.0,
+      "step": 7720
+    },
+    {
+      "entropy": 5.252097845077515,
+      "epoch": 6.40016570008285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00020014453167295298,
+      "loss": 4.6191,
+      "mean_token_accuracy": 0.21771289706230162,
+      "num_tokens": 14085418.0,
+      "step": 7725
+    },
+    {
+      "entropy": 5.246077394485473,
+      "epoch": 6.404308202154101,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00019984325428588229,
+      "loss": 4.6022,
+      "mean_token_accuracy": 0.22459561228752137,
+      "num_tokens": 14094454.0,
+      "step": 7730
+    },
+    {
+      "entropy": 5.269437408447265,
+      "epoch": 6.408450704225352,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00019954212849818077,
+      "loss": 4.5397,
+      "mean_token_accuracy": 0.23432922810316087,
+      "num_tokens": 14103611.0,
+      "step": 7735
+    },
+    {
+      "entropy": 5.17622013092041,
+      "epoch": 6.412593206296603,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00019924115491725197,
+      "loss": 4.4661,
+      "mean_token_accuracy": 0.23387826085090638,
+      "num_tokens": 14112145.0,
+      "step": 7740
+    },
+    {
+      "entropy": 5.237372732162475,
+      "epoch": 6.416735708367854,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019894033415019253,
+      "loss": 4.6056,
+      "mean_token_accuracy": 0.2221802607178688,
+      "num_tokens": 14121215.0,
+      "step": 7745
+    },
+    {
+      "entropy": 5.171102142333984,
+      "epoch": 6.420878210439105,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019863966680379086,
+      "loss": 4.4967,
+      "mean_token_accuracy": 0.22152459472417832,
+      "num_tokens": 14130106.0,
+      "step": 7750
+    },
+    {
+      "entropy": 5.18139157295227,
+      "epoch": 6.4250207125103564,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0001983391534845258,
+      "loss": 4.5424,
+      "mean_token_accuracy": 0.2322377920150757,
+      "num_tokens": 14139071.0,
+      "step": 7755
+    },
+    {
+      "entropy": 5.224069595336914,
+      "epoch": 6.4291632145816076,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00019803879479856547,
+      "loss": 4.5974,
+      "mean_token_accuracy": 0.21825987547636033,
+      "num_tokens": 14148018.0,
+      "step": 7760
+    },
+    {
+      "entropy": 5.2009124755859375,
+      "epoch": 6.433305716652859,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019773859135176626,
+      "loss": 4.5285,
+      "mean_token_accuracy": 0.21998629420995713,
+      "num_tokens": 14156369.0,
+      "step": 7765
+    },
+    {
+      "entropy": 5.215542888641357,
+      "epoch": 6.43744821872411,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001974385437496713,
+      "loss": 4.6106,
+      "mean_token_accuracy": 0.21984836757183074,
+      "num_tokens": 14165930.0,
+      "step": 7770
+    },
+    {
+      "entropy": 5.2183332443237305,
+      "epoch": 6.44159072079536,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00019713865259750945,
+      "loss": 4.5777,
+      "mean_token_accuracy": 0.228591625392437,
+      "num_tokens": 14175557.0,
+      "step": 7775
+    },
+    {
+      "entropy": 5.288492584228516,
+      "epoch": 6.445733222866611,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019683891850019391,
+      "loss": 4.65,
+      "mean_token_accuracy": 0.2170352444052696,
+      "num_tokens": 14185532.0,
+      "step": 7780
+    },
+    {
+      "entropy": 5.372134733200073,
+      "epoch": 6.449875724937862,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00019653934206232098,
+      "loss": 4.7328,
+      "mean_token_accuracy": 0.21203465312719344,
+      "num_tokens": 14194307.0,
+      "step": 7785
+    },
+    {
+      "entropy": 5.317110586166382,
+      "epoch": 6.454018227009113,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00019623992388816935,
+      "loss": 4.6817,
+      "mean_token_accuracy": 0.22098743617534639,
+      "num_tokens": 14203900.0,
+      "step": 7790
+    },
+    {
+      "entropy": 5.264908695220948,
+      "epoch": 6.458160729080364,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0001959406645816979,
+      "loss": 4.604,
+      "mean_token_accuracy": 0.22145358771085738,
+      "num_tokens": 14213232.0,
+      "step": 7795
+    },
+    {
+      "entropy": 5.2155252456665036,
+      "epoch": 6.4623032311516155,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00019564156474654554,
+      "loss": 4.545,
+      "mean_token_accuracy": 0.21945291459560395,
+      "num_tokens": 14221365.0,
+      "step": 7800
+    },
+    {
+      "entropy": 5.183708381652832,
+      "epoch": 6.466445733222867,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00019534262498602928,
+      "loss": 4.5722,
+      "mean_token_accuracy": 0.21912614554166793,
+      "num_tokens": 14229878.0,
+      "step": 7805
+    },
+    {
+      "entropy": 5.247611427307129,
+      "epoch": 6.470588235294118,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00019504384590314318,
+      "loss": 4.6163,
+      "mean_token_accuracy": 0.21504329293966293,
+      "num_tokens": 14239132.0,
+      "step": 7810
+    },
+    {
+      "entropy": 5.27608289718628,
+      "epoch": 6.474730737365369,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.00019474522810055745,
+      "loss": 4.6315,
+      "mean_token_accuracy": 0.22245015799999238,
+      "num_tokens": 14247116.0,
+      "step": 7815
+    },
+    {
+      "entropy": 5.237215900421143,
+      "epoch": 6.47887323943662,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00019444677218061673,
+      "loss": 4.5876,
+      "mean_token_accuracy": 0.22378402203321457,
+      "num_tokens": 14255423.0,
+      "step": 7820
+    },
+    {
+      "entropy": 5.22880802154541,
+      "epoch": 6.483015741507871,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.0001941484787453393,
+      "loss": 4.5576,
+      "mean_token_accuracy": 0.22750293612480163,
+      "num_tokens": 14263836.0,
+      "step": 7825
+    },
+    {
+      "entropy": 5.1975545406341555,
+      "epoch": 6.487158243579122,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00019385034839641558,
+      "loss": 4.6818,
+      "mean_token_accuracy": 0.21816913187503814,
+      "num_tokens": 14273460.0,
+      "step": 7830
+    },
+    {
+      "entropy": 5.288527727127075,
+      "epoch": 6.491300745650372,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001935523817352071,
+      "loss": 4.6991,
+      "mean_token_accuracy": 0.21707435250282286,
+      "num_tokens": 14282925.0,
+      "step": 7835
+    },
+    {
+      "entropy": 5.283282852172851,
+      "epoch": 6.4954432477216235,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019325457936274516,
+      "loss": 4.5817,
+      "mean_token_accuracy": 0.22622769176959992,
+      "num_tokens": 14292059.0,
+      "step": 7840
+    },
+    {
+      "entropy": 5.274545192718506,
+      "epoch": 6.499585749792875,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00019295694187972955,
+      "loss": 4.6371,
+      "mean_token_accuracy": 0.2125675469636917,
+      "num_tokens": 14301276.0,
+      "step": 7845
+    },
+    {
+      "entropy": 5.247177505493164,
+      "epoch": 6.503728251864126,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019265946988652783,
+      "loss": 4.6386,
+      "mean_token_accuracy": 0.21370143294334412,
+      "num_tokens": 14310259.0,
+      "step": 7850
+    },
+    {
+      "entropy": 5.227504730224609,
+      "epoch": 6.507870753935377,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0001923621639831733,
+      "loss": 4.5105,
+      "mean_token_accuracy": 0.22504902780056,
+      "num_tokens": 14318782.0,
+      "step": 7855
+    },
+    {
+      "entropy": 5.173471689224243,
+      "epoch": 6.512013256006628,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00019206502476936467,
+      "loss": 4.4963,
+      "mean_token_accuracy": 0.23206298500299455,
+      "num_tokens": 14327571.0,
+      "step": 7860
+    },
+    {
+      "entropy": 5.135555934906006,
+      "epoch": 6.516155758077879,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00019176805284446414,
+      "loss": 4.5319,
+      "mean_token_accuracy": 0.23313156962394715,
+      "num_tokens": 14336974.0,
+      "step": 7865
+    },
+    {
+      "entropy": 5.291125202178955,
+      "epoch": 6.52029826014913,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00019147124880749633,
+      "loss": 4.6926,
+      "mean_token_accuracy": 0.218401962518692,
+      "num_tokens": 14346367.0,
+      "step": 7870
+    },
+    {
+      "entropy": 5.287627267837524,
+      "epoch": 6.524440762220381,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00019117461325714768,
+      "loss": 4.6304,
+      "mean_token_accuracy": 0.22132983505725862,
+      "num_tokens": 14355641.0,
+      "step": 7875
+    },
+    {
+      "entropy": 5.246808195114136,
+      "epoch": 6.528583264291632,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019087814679176436,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.22451686710119248,
+      "num_tokens": 14364927.0,
+      "step": 7880
+    },
+    {
+      "entropy": 5.234672212600708,
+      "epoch": 6.5327257663628835,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019058185000935175,
+      "loss": 4.5399,
+      "mean_token_accuracy": 0.22587109208106995,
+      "num_tokens": 14373370.0,
+      "step": 7885
+    },
+    {
+      "entropy": 5.254017162322998,
+      "epoch": 6.536868268434135,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00019028572350757278,
+      "loss": 4.6124,
+      "mean_token_accuracy": 0.21654532849788666,
+      "num_tokens": 14381820.0,
+      "step": 7890
+    },
+    {
+      "entropy": 5.2422840118408205,
+      "epoch": 6.541010770505386,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018998976788374682,
+      "loss": 4.5875,
+      "mean_token_accuracy": 0.21863880306482314,
+      "num_tokens": 14391158.0,
+      "step": 7895
+    },
+    {
+      "entropy": 5.201485252380371,
+      "epoch": 6.545153272576636,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00018969398373484898,
+      "loss": 4.6299,
+      "mean_token_accuracy": 0.21829961985349655,
+      "num_tokens": 14399945.0,
+      "step": 7900
+    },
+    {
+      "entropy": 5.200627136230469,
+      "epoch": 6.549295774647887,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00018939837165750796,
+      "loss": 4.5447,
+      "mean_token_accuracy": 0.22442623525857924,
+      "num_tokens": 14410275.0,
+      "step": 7905
+    },
+    {
+      "entropy": 5.29403018951416,
+      "epoch": 6.553438276719138,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00018910293224800584,
+      "loss": 4.6482,
+      "mean_token_accuracy": 0.2173393338918686,
+      "num_tokens": 14420369.0,
+      "step": 7910
+    },
+    {
+      "entropy": 5.291232109069824,
+      "epoch": 6.557580778790389,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00018880766610227608,
+      "loss": 4.6234,
+      "mean_token_accuracy": 0.22409190386533737,
+      "num_tokens": 14429078.0,
+      "step": 7915
+    },
+    {
+      "entropy": 5.234523487091065,
+      "epoch": 6.56172328086164,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018851257381590264,
+      "loss": 4.5824,
+      "mean_token_accuracy": 0.22088503539562226,
+      "num_tokens": 14438920.0,
+      "step": 7920
+    },
+    {
+      "entropy": 5.292790508270263,
+      "epoch": 6.5658657829328915,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018821765598411917,
+      "loss": 4.7699,
+      "mean_token_accuracy": 0.20645501464605331,
+      "num_tokens": 14449164.0,
+      "step": 7925
+    },
+    {
+      "entropy": 5.241003036499023,
+      "epoch": 6.570008285004143,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00018792291320180693,
+      "loss": 4.6977,
+      "mean_token_accuracy": 0.2070661887526512,
+      "num_tokens": 14459418.0,
+      "step": 7930
+    },
+    {
+      "entropy": 5.294680643081665,
+      "epoch": 6.574150787075394,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00018762834606349455,
+      "loss": 4.5906,
+      "mean_token_accuracy": 0.22685577124357223,
+      "num_tokens": 14468691.0,
+      "step": 7935
+    },
+    {
+      "entropy": 5.322669315338135,
+      "epoch": 6.578293289146645,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00018733395516335588,
+      "loss": 4.6731,
+      "mean_token_accuracy": 0.21569546610116958,
+      "num_tokens": 14477936.0,
+      "step": 7940
+    },
+    {
+      "entropy": 5.285602855682373,
+      "epoch": 6.582435791217896,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00018703974109520976,
+      "loss": 4.6442,
+      "mean_token_accuracy": 0.22226325422525406,
+      "num_tokens": 14487191.0,
+      "step": 7945
+    },
+    {
+      "entropy": 5.2095410346984865,
+      "epoch": 6.586578293289147,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018674570445251798,
+      "loss": 4.566,
+      "mean_token_accuracy": 0.2255881741642952,
+      "num_tokens": 14495731.0,
+      "step": 7950
+    },
+    {
+      "entropy": 5.200072622299194,
+      "epoch": 6.590720795360397,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018645184582838465,
+      "loss": 4.5668,
+      "mean_token_accuracy": 0.22047847658395767,
+      "num_tokens": 14505009.0,
+      "step": 7955
+    },
+    {
+      "entropy": 5.211784410476684,
+      "epoch": 6.594863297431648,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00018615816581555466,
+      "loss": 4.614,
+      "mean_token_accuracy": 0.21996732503175737,
+      "num_tokens": 14513843.0,
+      "step": 7960
+    },
+    {
+      "entropy": 5.188229322433472,
+      "epoch": 6.5990057995028994,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0001858646650064128,
+      "loss": 4.6074,
+      "mean_token_accuracy": 0.22044946551322936,
+      "num_tokens": 14523405.0,
+      "step": 7965
+    },
+    {
+      "entropy": 5.254159069061279,
+      "epoch": 6.603148301574151,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018557134399298215,
+      "loss": 4.6781,
+      "mean_token_accuracy": 0.21682086437940598,
+      "num_tokens": 14532615.0,
+      "step": 7970
+    },
+    {
+      "entropy": 5.2646036624908445,
+      "epoch": 6.607290803645402,
+      "grad_norm": 1.671875,
+      "learning_rate": 0.0001852782033669233,
+      "loss": 4.6101,
+      "mean_token_accuracy": 0.22458707094192504,
+      "num_tokens": 14541297.0,
+      "step": 7975
+    },
+    {
+      "entropy": 5.216501903533936,
+      "epoch": 6.611433305716653,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00018498524371953295,
+      "loss": 4.556,
+      "mean_token_accuracy": 0.22257563024759291,
+      "num_tokens": 14549867.0,
+      "step": 7980
+    },
+    {
+      "entropy": 5.22313437461853,
+      "epoch": 6.615575807787904,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018469246564174275,
+      "loss": 4.6508,
+      "mean_token_accuracy": 0.20906404107809068,
+      "num_tokens": 14558708.0,
+      "step": 7985
+    },
+    {
+      "entropy": 5.215989065170288,
+      "epoch": 6.619718309859155,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.000184399869724118,
+      "loss": 4.648,
+      "mean_token_accuracy": 0.21317926198244094,
+      "num_tokens": 14567917.0,
+      "step": 7990
+    },
+    {
+      "entropy": 5.194528484344483,
+      "epoch": 6.623860811930406,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00018410745655685662,
+      "loss": 4.5161,
+      "mean_token_accuracy": 0.23143290728330612,
+      "num_tokens": 14576417.0,
+      "step": 7995
+    },
+    {
+      "entropy": 5.19383282661438,
+      "epoch": 6.628003314001657,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00018381522672978806,
+      "loss": 4.5967,
+      "mean_token_accuracy": 0.2205110549926758,
+      "num_tokens": 14585172.0,
+      "step": 8000
+    },
+    {
+      "epoch": 6.628003314001657,
+      "eval_entropy": 5.144060653409978,
+      "eval_loss": 5.7370734214782715,
+      "eval_mean_token_accuracy": 0.1679431346020719,
+      "eval_num_tokens": 14585172.0,
+      "eval_runtime": 2.746,
+      "eval_samples_per_second": 1364.549,
+      "eval_steps_per_second": 170.796,
+      "step": 8000
+    },
+    {
+      "entropy": 5.2945750713348385,
+      "epoch": 6.632145816072908,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00018352318083237167,
+      "loss": 4.6209,
+      "mean_token_accuracy": 0.21357694566249846,
+      "num_tokens": 14593758.0,
+      "step": 8005
+    },
+    {
+      "entropy": 5.269504880905151,
+      "epoch": 6.636288318144159,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00018323131945369603,
+      "loss": 4.5957,
+      "mean_token_accuracy": 0.2212613955140114,
+      "num_tokens": 14602558.0,
+      "step": 8010
+    },
+    {
+      "entropy": 5.292761898040771,
+      "epoch": 6.6404308202154105,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00018293964318247735,
+      "loss": 4.5895,
+      "mean_token_accuracy": 0.22187672108411788,
+      "num_tokens": 14611463.0,
+      "step": 8015
+    },
+    {
+      "entropy": 5.268460607528686,
+      "epoch": 6.644573322286661,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00018264815260705863,
+      "loss": 4.6303,
+      "mean_token_accuracy": 0.22261828631162645,
+      "num_tokens": 14619951.0,
+      "step": 8020
+    },
+    {
+      "entropy": 5.312491035461425,
+      "epoch": 6.648715824357912,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00018235684831540826,
+      "loss": 4.6601,
+      "mean_token_accuracy": 0.2227204129099846,
+      "num_tokens": 14629332.0,
+      "step": 8025
+    },
+    {
+      "entropy": 5.215784406661987,
+      "epoch": 6.652858326429163,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018206573089511862,
+      "loss": 4.6116,
+      "mean_token_accuracy": 0.22559183984994888,
+      "num_tokens": 14639010.0,
+      "step": 8030
+    },
+    {
+      "entropy": 5.217174816131592,
+      "epoch": 6.657000828500414,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00018177480093340564,
+      "loss": 4.644,
+      "mean_token_accuracy": 0.2131648376584053,
+      "num_tokens": 14648507.0,
+      "step": 8035
+    },
+    {
+      "entropy": 5.26403660774231,
+      "epoch": 6.661143330571665,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0001814840590171065,
+      "loss": 4.6395,
+      "mean_token_accuracy": 0.216891747713089,
+      "num_tokens": 14657892.0,
+      "step": 8040
+    },
+    {
+      "entropy": 5.276500272750854,
+      "epoch": 6.665285832642916,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018119350573267979,
+      "loss": 4.5962,
+      "mean_token_accuracy": 0.22690920978784562,
+      "num_tokens": 14666460.0,
+      "step": 8045
+    },
+    {
+      "entropy": 5.25149884223938,
+      "epoch": 6.669428334714167,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018090314166620302,
+      "loss": 4.5902,
+      "mean_token_accuracy": 0.2189852774143219,
+      "num_tokens": 14675046.0,
+      "step": 8050
+    },
+    {
+      "entropy": 5.219921970367432,
+      "epoch": 6.6735708367854185,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018061296740337225,
+      "loss": 4.6258,
+      "mean_token_accuracy": 0.2165866807103157,
+      "num_tokens": 14685055.0,
+      "step": 8055
+    },
+    {
+      "entropy": 5.248022747039795,
+      "epoch": 6.67771333885667,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00018032298352950077,
+      "loss": 4.5972,
+      "mean_token_accuracy": 0.2188133031129837,
+      "num_tokens": 14695371.0,
+      "step": 8060
+    },
+    {
+      "entropy": 5.225955820083618,
+      "epoch": 6.681855840927921,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00018003319062951756,
+      "loss": 4.569,
+      "mean_token_accuracy": 0.2223624899983406,
+      "num_tokens": 14703671.0,
+      "step": 8065
+    },
+    {
+      "entropy": 5.195835924148559,
+      "epoch": 6.685998342999172,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00017974358928796682,
+      "loss": 4.5951,
+      "mean_token_accuracy": 0.22712722718715667,
+      "num_tokens": 14712527.0,
+      "step": 8070
+    },
+    {
+      "entropy": 5.231344604492188,
+      "epoch": 6.690140845070422,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00017945418008900594,
+      "loss": 4.6311,
+      "mean_token_accuracy": 0.22212356179952622,
+      "num_tokens": 14720711.0,
+      "step": 8075
+    },
+    {
+      "entropy": 5.25670371055603,
+      "epoch": 6.694283347141674,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0001791649636164049,
+      "loss": 4.6664,
+      "mean_token_accuracy": 0.21566284000873565,
+      "num_tokens": 14729667.0,
+      "step": 8080
+    },
+    {
+      "entropy": 5.32373685836792,
+      "epoch": 6.698425849212924,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000178875940453545,
+      "loss": 4.612,
+      "mean_token_accuracy": 0.2260928839445114,
+      "num_tokens": 14738614.0,
+      "step": 8085
+    },
+    {
+      "entropy": 5.285801553726197,
+      "epoch": 6.702568351284175,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00017858711118341742,
+      "loss": 4.611,
+      "mean_token_accuracy": 0.22119891494512559,
+      "num_tokens": 14747724.0,
+      "step": 8090
+    },
+    {
+      "entropy": 5.189185285568238,
+      "epoch": 6.7067108533554265,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00017829847638862255,
+      "loss": 4.5783,
+      "mean_token_accuracy": 0.22308655232191085,
+      "num_tokens": 14757436.0,
+      "step": 8095
+    },
+    {
+      "entropy": 5.163452911376953,
+      "epoch": 6.710853355426678,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00017801003665136823,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.22859434187412261,
+      "num_tokens": 14765948.0,
+      "step": 8100
+    },
+    {
+      "entropy": 5.2175110340118405,
+      "epoch": 6.714995857497929,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00017772179255346883,
+      "loss": 4.5924,
+      "mean_token_accuracy": 0.21859526336193086,
+      "num_tokens": 14775397.0,
+      "step": 8105
+    },
+    {
+      "entropy": 5.2649805545806885,
+      "epoch": 6.71913835956918,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00017743374467634433,
+      "loss": 4.5547,
+      "mean_token_accuracy": 0.22480292171239852,
+      "num_tokens": 14783605.0,
+      "step": 8110
+    },
+    {
+      "entropy": 5.262083387374878,
+      "epoch": 6.723280861640431,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00017714589360101862,
+      "loss": 4.6719,
+      "mean_token_accuracy": 0.2111577272415161,
+      "num_tokens": 14792210.0,
+      "step": 8115
+    },
+    {
+      "entropy": 5.165537548065186,
+      "epoch": 6.727423363711682,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000176858239908119,
+      "loss": 4.5663,
+      "mean_token_accuracy": 0.21831904202699662,
+      "num_tokens": 14801186.0,
+      "step": 8120
+    },
+    {
+      "entropy": 5.171479225158691,
+      "epoch": 6.731565865782933,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00017657078417787414,
+      "loss": 4.5126,
+      "mean_token_accuracy": 0.2303812935948372,
+      "num_tokens": 14810100.0,
+      "step": 8125
+    },
+    {
+      "entropy": 5.1626139163970945,
+      "epoch": 6.735708367854184,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017628352699011396,
+      "loss": 4.4932,
+      "mean_token_accuracy": 0.22342629581689835,
+      "num_tokens": 14819335.0,
+      "step": 8130
+    },
+    {
+      "entropy": 5.184713125228882,
+      "epoch": 6.739850869925435,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001759964689242674,
+      "loss": 4.6115,
+      "mean_token_accuracy": 0.22678097039461137,
+      "num_tokens": 14828686.0,
+      "step": 8135
+    },
+    {
+      "entropy": 5.233674144744873,
+      "epoch": 6.743993371996686,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001757096105593619,
+      "loss": 4.6202,
+      "mean_token_accuracy": 0.21709106266498565,
+      "num_tokens": 14838312.0,
+      "step": 8140
+    },
+    {
+      "entropy": 5.149096870422364,
+      "epoch": 6.748135874067937,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00017542295247402234,
+      "loss": 4.5595,
+      "mean_token_accuracy": 0.22249870449304582,
+      "num_tokens": 14846838.0,
+      "step": 8145
+    },
+    {
+      "entropy": 5.202677154541016,
+      "epoch": 6.752278376139188,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00017513649524646919,
+      "loss": 4.6182,
+      "mean_token_accuracy": 0.21352985352277756,
+      "num_tokens": 14857427.0,
+      "step": 8150
+    },
+    {
+      "entropy": 5.231053304672241,
+      "epoch": 6.756420878210439,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001748502394545181,
+      "loss": 4.6142,
+      "mean_token_accuracy": 0.2143697887659073,
+      "num_tokens": 14866244.0,
+      "step": 8155
+    },
+    {
+      "entropy": 5.2318687915802,
+      "epoch": 6.76056338028169,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001745641856755783,
+      "loss": 4.6272,
+      "mean_token_accuracy": 0.2168770670890808,
+      "num_tokens": 14875697.0,
+      "step": 8160
+    },
+    {
+      "entropy": 5.213436222076416,
+      "epoch": 6.764705882352941,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00017427833448665136,
+      "loss": 4.6431,
+      "mean_token_accuracy": 0.22060779482126236,
+      "num_tokens": 14884650.0,
+      "step": 8165
+    },
+    {
+      "entropy": 5.221727609634399,
+      "epoch": 6.768848384424192,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00017399268646433065,
+      "loss": 4.5726,
+      "mean_token_accuracy": 0.22035471200942994,
+      "num_tokens": 14894058.0,
+      "step": 8170
+    },
+    {
+      "entropy": 5.291379785537719,
+      "epoch": 6.772990886495443,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00017370724218479912,
+      "loss": 4.6928,
+      "mean_token_accuracy": 0.21716551035642623,
+      "num_tokens": 14903219.0,
+      "step": 8175
+    },
+    {
+      "entropy": 5.280435705184937,
+      "epoch": 6.7771333885666944,
+      "grad_norm": 1.5234375,
+      "learning_rate": 0.00017342200222382934,
+      "loss": 4.6104,
+      "mean_token_accuracy": 0.21606069803237915,
+      "num_tokens": 14913051.0,
+      "step": 8180
+    },
+    {
+      "entropy": 5.284905195236206,
+      "epoch": 6.781275890637946,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00017313696715678134,
+      "loss": 4.6263,
+      "mean_token_accuracy": 0.2211444079875946,
+      "num_tokens": 14921777.0,
+      "step": 8185
+    },
+    {
+      "entropy": 5.336038494110108,
+      "epoch": 6.785418392709197,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.000172852137558602,
+      "loss": 4.7612,
+      "mean_token_accuracy": 0.20792590975761413,
+      "num_tokens": 14931558.0,
+      "step": 8190
+    },
+    {
+      "entropy": 5.2495917797088625,
+      "epoch": 6.789560894780448,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00017256751400382384,
+      "loss": 4.6749,
+      "mean_token_accuracy": 0.2186842069029808,
+      "num_tokens": 14940584.0,
+      "step": 8195
+    },
+    {
+      "entropy": 5.260048294067383,
+      "epoch": 6.793703396851699,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00017228309706656354,
+      "loss": 4.6003,
+      "mean_token_accuracy": 0.2234319806098938,
+      "num_tokens": 14950830.0,
+      "step": 8200
+    },
+    {
+      "entropy": 5.309694099426269,
+      "epoch": 6.797845898922949,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001719988873205213,
+      "loss": 4.6046,
+      "mean_token_accuracy": 0.2206121563911438,
+      "num_tokens": 14958990.0,
+      "step": 8205
+    },
+    {
+      "entropy": 5.258207225799561,
+      "epoch": 6.8019884009942,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00017171488533897916,
+      "loss": 4.6389,
+      "mean_token_accuracy": 0.216607928276062,
+      "num_tokens": 14967451.0,
+      "step": 8210
+    },
+    {
+      "entropy": 5.220820093154908,
+      "epoch": 6.806130903065451,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00017143109169480005,
+      "loss": 4.5703,
+      "mean_token_accuracy": 0.2230973109602928,
+      "num_tokens": 14976157.0,
+      "step": 8215
+    },
+    {
+      "entropy": 5.277642917633057,
+      "epoch": 6.810273405136702,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017114750696042695,
+      "loss": 4.6916,
+      "mean_token_accuracy": 0.211100971698761,
+      "num_tokens": 14985591.0,
+      "step": 8220
+    },
+    {
+      "entropy": 5.277077102661133,
+      "epoch": 6.8144159072079535,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00017086413170788107,
+      "loss": 4.5868,
+      "mean_token_accuracy": 0.22545621395111085,
+      "num_tokens": 14994513.0,
+      "step": 8225
+    },
+    {
+      "entropy": 5.249056625366211,
+      "epoch": 6.818558409279205,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00017058096650876143,
+      "loss": 4.6555,
+      "mean_token_accuracy": 0.21752652078866958,
+      "num_tokens": 15003252.0,
+      "step": 8230
+    },
+    {
+      "entropy": 5.268651342391967,
+      "epoch": 6.822700911350456,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017029801193424313,
+      "loss": 4.5678,
+      "mean_token_accuracy": 0.21832710206508638,
+      "num_tokens": 15012342.0,
+      "step": 8235
+    },
+    {
+      "entropy": 5.17280683517456,
+      "epoch": 6.826843413421707,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017001526855507632,
+      "loss": 4.5248,
+      "mean_token_accuracy": 0.22667909115552903,
+      "num_tokens": 15021336.0,
+      "step": 8240
+    },
+    {
+      "entropy": 5.232009410858154,
+      "epoch": 6.830985915492958,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00016973273694158555,
+      "loss": 4.5752,
+      "mean_token_accuracy": 0.21583533883094788,
+      "num_tokens": 15031016.0,
+      "step": 8245
+    },
+    {
+      "entropy": 5.281693077087402,
+      "epoch": 6.835128417564209,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00016945041766366773,
+      "loss": 4.5846,
+      "mean_token_accuracy": 0.22162794917821885,
+      "num_tokens": 15039181.0,
+      "step": 8250
+    },
+    {
+      "entropy": 5.255547618865966,
+      "epoch": 6.83927091963546,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00016916831129079187,
+      "loss": 4.647,
+      "mean_token_accuracy": 0.2128545254468918,
+      "num_tokens": 15048563.0,
+      "step": 8255
+    },
+    {
+      "entropy": 5.248698711395264,
+      "epoch": 6.84341342170671,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001688864183919973,
+      "loss": 4.5936,
+      "mean_token_accuracy": 0.22442127764225006,
+      "num_tokens": 15056960.0,
+      "step": 8260
+    },
+    {
+      "entropy": 5.307019329071045,
+      "epoch": 6.8475559237779615,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00016860473953589266,
+      "loss": 4.6347,
+      "mean_token_accuracy": 0.21388418227434158,
+      "num_tokens": 15065645.0,
+      "step": 8265
+    },
+    {
+      "entropy": 5.223530387878418,
+      "epoch": 6.851698425849213,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00016832327529065522,
+      "loss": 4.5822,
+      "mean_token_accuracy": 0.22318441718816756,
+      "num_tokens": 15074544.0,
+      "step": 8270
+    },
+    {
+      "entropy": 5.267363739013672,
+      "epoch": 6.855840927920464,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001680420262240289,
+      "loss": 4.6343,
+      "mean_token_accuracy": 0.21753862798213958,
+      "num_tokens": 15083543.0,
+      "step": 8275
+    },
+    {
+      "entropy": 5.204693603515625,
+      "epoch": 6.859983429991715,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00016776099290332397,
+      "loss": 4.6145,
+      "mean_token_accuracy": 0.2235179975628853,
+      "num_tokens": 15092291.0,
+      "step": 8280
+    },
+    {
+      "entropy": 5.3212086200714115,
+      "epoch": 6.864125932062966,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00016748017589541525,
+      "loss": 4.6697,
+      "mean_token_accuracy": 0.2193456619977951,
+      "num_tokens": 15100875.0,
+      "step": 8285
+    },
+    {
+      "entropy": 5.275527429580689,
+      "epoch": 6.868268434134217,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0001671995757667414,
+      "loss": 4.6246,
+      "mean_token_accuracy": 0.22207115739583969,
+      "num_tokens": 15111385.0,
+      "step": 8290
+    },
+    {
+      "entropy": 5.325754880905151,
+      "epoch": 6.872410936205468,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00016691919308330343,
+      "loss": 4.6412,
+      "mean_token_accuracy": 0.2226441338658333,
+      "num_tokens": 15121153.0,
+      "step": 8295
+    },
+    {
+      "entropy": 5.278840351104736,
+      "epoch": 6.876553438276719,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00016663902841066404,
+      "loss": 4.6258,
+      "mean_token_accuracy": 0.21953531950712205,
+      "num_tokens": 15130132.0,
+      "step": 8300
+    },
+    {
+      "entropy": 5.229125213623047,
+      "epoch": 6.88069594034797,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00016635908231394587,
+      "loss": 4.6111,
+      "mean_token_accuracy": 0.2153362438082695,
+      "num_tokens": 15138878.0,
+      "step": 8305
+    },
+    {
+      "entropy": 5.198756742477417,
+      "epoch": 6.8848384424192215,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0001660793553578307,
+      "loss": 4.6868,
+      "mean_token_accuracy": 0.20835813581943513,
+      "num_tokens": 15148727.0,
+      "step": 8310
+    },
+    {
+      "entropy": 5.257393503189087,
+      "epoch": 6.888980944490473,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00016579984810655856,
+      "loss": 4.6404,
+      "mean_token_accuracy": 0.21736776530742646,
+      "num_tokens": 15158107.0,
+      "step": 8315
+    },
+    {
+      "entropy": 5.275184488296508,
+      "epoch": 6.893123446561724,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00016552056112392594,
+      "loss": 4.6178,
+      "mean_token_accuracy": 0.21456918865442276,
+      "num_tokens": 15168101.0,
+      "step": 8320
+    },
+    {
+      "entropy": 5.249782991409302,
+      "epoch": 6.897265948632974,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0001652414949732854,
+      "loss": 4.5573,
+      "mean_token_accuracy": 0.22505220770835876,
+      "num_tokens": 15176376.0,
+      "step": 8325
+    },
+    {
+      "entropy": 5.2404684066772464,
+      "epoch": 6.901408450704225,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00016496265021754365,
+      "loss": 4.5925,
+      "mean_token_accuracy": 0.2170558288693428,
+      "num_tokens": 15184936.0,
+      "step": 8330
+    },
+    {
+      "entropy": 5.271342658996582,
+      "epoch": 6.905550952775476,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00016468402741916124,
+      "loss": 4.6586,
+      "mean_token_accuracy": 0.22344124019145967,
+      "num_tokens": 15194846.0,
+      "step": 8335
+    },
+    {
+      "entropy": 5.263687086105347,
+      "epoch": 6.909693454846727,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001644056271401506,
+      "loss": 4.6187,
+      "mean_token_accuracy": 0.22206373363733292,
+      "num_tokens": 15204543.0,
+      "step": 8340
+    },
+    {
+      "entropy": 5.221840810775757,
+      "epoch": 6.913835956917978,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00016412744994207573,
+      "loss": 4.5897,
+      "mean_token_accuracy": 0.215163554251194,
+      "num_tokens": 15213459.0,
+      "step": 8345
+    },
+    {
+      "entropy": 5.209072399139404,
+      "epoch": 6.9179784589892295,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00016384949638605025,
+      "loss": 4.6864,
+      "mean_token_accuracy": 0.20790564268827438,
+      "num_tokens": 15223841.0,
+      "step": 8350
+    },
+    {
+      "entropy": 5.225527238845825,
+      "epoch": 6.922120961060481,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00016357176703273696,
+      "loss": 4.6187,
+      "mean_token_accuracy": 0.22101123183965682,
+      "num_tokens": 15233594.0,
+      "step": 8355
+    },
+    {
+      "entropy": 5.251284885406494,
+      "epoch": 6.926263463131732,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0001632942624423463,
+      "loss": 4.5643,
+      "mean_token_accuracy": 0.22933652848005295,
+      "num_tokens": 15242876.0,
+      "step": 8360
+    },
+    {
+      "entropy": 5.297107553482055,
+      "epoch": 6.930405965202983,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00016301698317463525,
+      "loss": 4.6565,
+      "mean_token_accuracy": 0.2228442072868347,
+      "num_tokens": 15251581.0,
+      "step": 8365
+    },
+    {
+      "entropy": 5.252490663528443,
+      "epoch": 6.934548467274234,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00016273992978890658,
+      "loss": 4.5084,
+      "mean_token_accuracy": 0.22431502342224122,
+      "num_tokens": 15260601.0,
+      "step": 8370
+    },
+    {
+      "entropy": 5.232750654220581,
+      "epoch": 6.938690969345485,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001624631028440071,
+      "loss": 4.5322,
+      "mean_token_accuracy": 0.22127106189727783,
+      "num_tokens": 15270123.0,
+      "step": 8375
+    },
+    {
+      "entropy": 5.301280069351196,
+      "epoch": 6.942833471416735,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0001621865028983271,
+      "loss": 4.6664,
+      "mean_token_accuracy": 0.2162109360098839,
+      "num_tokens": 15278623.0,
+      "step": 8380
+    },
+    {
+      "entropy": 5.187017822265625,
+      "epoch": 6.946975973487987,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001619101305097988,
+      "loss": 4.569,
+      "mean_token_accuracy": 0.22274162173271178,
+      "num_tokens": 15287789.0,
+      "step": 8385
+    },
+    {
+      "entropy": 5.105927991867065,
+      "epoch": 6.9511184755592375,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.00016163398623589563,
+      "loss": 4.5276,
+      "mean_token_accuracy": 0.23134084939956664,
+      "num_tokens": 15296266.0,
+      "step": 8390
+    },
+    {
+      "entropy": 5.268940114974976,
+      "epoch": 6.955260977630489,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00016135807063363074,
+      "loss": 4.6269,
+      "mean_token_accuracy": 0.21198562532663345,
+      "num_tokens": 15304785.0,
+      "step": 8395
+    },
+    {
+      "entropy": 5.171991634368896,
+      "epoch": 6.95940347970174,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00016108238425955584,
+      "loss": 4.5327,
+      "mean_token_accuracy": 0.22577450573444366,
+      "num_tokens": 15313727.0,
+      "step": 8400
+    },
+    {
+      "entropy": 5.254316186904907,
+      "epoch": 6.963545981772991,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0001608069276697608,
+      "loss": 4.7158,
+      "mean_token_accuracy": 0.21332326233386995,
+      "num_tokens": 15322911.0,
+      "step": 8405
+    },
+    {
+      "entropy": 5.300360822677613,
+      "epoch": 6.967688483844242,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001605317014198714,
+      "loss": 4.6163,
+      "mean_token_accuracy": 0.22070427536964415,
+      "num_tokens": 15330882.0,
+      "step": 8410
+    },
+    {
+      "entropy": 5.221141958236695,
+      "epoch": 6.971830985915493,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00016025670606504926,
+      "loss": 4.523,
+      "mean_token_accuracy": 0.22398052662611007,
+      "num_tokens": 15339915.0,
+      "step": 8415
+    },
+    {
+      "entropy": 5.213225173950195,
+      "epoch": 6.975973487986744,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001599819421599899,
+      "loss": 4.5878,
+      "mean_token_accuracy": 0.21864742040634155,
+      "num_tokens": 15348181.0,
+      "step": 8420
+    },
+    {
+      "entropy": 5.188560724258423,
+      "epoch": 6.980115990057995,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00015970741025892233,
+      "loss": 4.5452,
+      "mean_token_accuracy": 0.2271549642086029,
+      "num_tokens": 15357128.0,
+      "step": 8425
+    },
+    {
+      "entropy": 5.209831953048706,
+      "epoch": 6.984258492129246,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00015943311091560721,
+      "loss": 4.6538,
+      "mean_token_accuracy": 0.22213561683893204,
+      "num_tokens": 15366878.0,
+      "step": 8430
+    },
+    {
+      "entropy": 5.3097316265106205,
+      "epoch": 6.988400994200497,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00015915904468333635,
+      "loss": 4.5939,
+      "mean_token_accuracy": 0.22847030758857728,
+      "num_tokens": 15376101.0,
+      "step": 8435
+    },
+    {
+      "entropy": 5.18035774230957,
+      "epoch": 6.9925434962717485,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00015888521211493135,
+      "loss": 4.5421,
+      "mean_token_accuracy": 0.21641024351119995,
+      "num_tokens": 15384942.0,
+      "step": 8440
+    },
+    {
+      "entropy": 5.193719911575317,
+      "epoch": 6.996685998342999,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001586116137627423,
+      "loss": 4.5648,
+      "mean_token_accuracy": 0.22552343606948852,
+      "num_tokens": 15394380.0,
+      "step": 8445
+    },
+    {
+      "entropy": 5.28035192489624,
+      "epoch": 7.00082850041425,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00015833825017864711,
+      "loss": 4.4966,
+      "mean_token_accuracy": 0.23881841003894805,
+      "num_tokens": 15402180.0,
+      "step": 8450
+    },
+    {
+      "entropy": 5.25820837020874,
+      "epoch": 7.004971002485501,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00015806512191405,
+      "loss": 4.5534,
+      "mean_token_accuracy": 0.22912415564060212,
+      "num_tokens": 15411434.0,
+      "step": 8455
+    },
+    {
+      "entropy": 5.271618843078613,
+      "epoch": 7.009113504556752,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0001577922295198803,
+      "loss": 4.4939,
+      "mean_token_accuracy": 0.2291717991232872,
+      "num_tokens": 15419905.0,
+      "step": 8460
+    },
+    {
+      "entropy": 5.211508417129517,
+      "epoch": 7.013256006628003,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00015751957354659206,
+      "loss": 4.5173,
+      "mean_token_accuracy": 0.22768738716840745,
+      "num_tokens": 15429200.0,
+      "step": 8465
+    },
+    {
+      "entropy": 5.230689239501953,
+      "epoch": 7.017398508699254,
+      "grad_norm": 1.7734375,
+      "learning_rate": 0.00015724715454416206,
+      "loss": 4.5014,
+      "mean_token_accuracy": 0.23492475599050522,
+      "num_tokens": 15439328.0,
+      "step": 8470
+    },
+    {
+      "entropy": 5.239945983886718,
+      "epoch": 7.021541010770505,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00015697497306208926,
+      "loss": 4.449,
+      "mean_token_accuracy": 0.23373402953147887,
+      "num_tokens": 15447739.0,
+      "step": 8475
+    },
+    {
+      "entropy": 5.2335375308990475,
+      "epoch": 7.0256835128417565,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001567030296493934,
+      "loss": 4.4117,
+      "mean_token_accuracy": 0.2391123041510582,
+      "num_tokens": 15456598.0,
+      "step": 8480
+    },
+    {
+      "entropy": 5.264567565917969,
+      "epoch": 7.029826014913008,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00015643132485461395,
+      "loss": 4.5407,
+      "mean_token_accuracy": 0.22584614008665085,
+      "num_tokens": 15466633.0,
+      "step": 8485
+    },
+    {
+      "entropy": 5.269935941696167,
+      "epoch": 7.033968516984259,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.0001561598592258094,
+      "loss": 4.4839,
+      "mean_token_accuracy": 0.23932840377092363,
+      "num_tokens": 15476809.0,
+      "step": 8490
+    },
+    {
+      "entropy": 5.200196313858032,
+      "epoch": 7.03811101905551,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00015588863331055541,
+      "loss": 4.4345,
+      "mean_token_accuracy": 0.22763314247131347,
+      "num_tokens": 15484964.0,
+      "step": 8495
+    },
+    {
+      "entropy": 5.208463573455811,
+      "epoch": 7.042253521126761,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.0001556176476559444,
+      "loss": 4.4668,
+      "mean_token_accuracy": 0.2335176944732666,
+      "num_tokens": 15493600.0,
+      "step": 8500
+    },
+    {
+      "epoch": 7.042253521126761,
+      "eval_entropy": 5.129485646798921,
+      "eval_loss": 5.728693962097168,
+      "eval_mean_token_accuracy": 0.16830202490726767,
+      "eval_num_tokens": 15493600.0,
+      "eval_runtime": 2.7433,
+      "eval_samples_per_second": 1365.87,
+      "eval_steps_per_second": 170.962,
+      "step": 8500
+    },
+    {
+      "entropy": 5.164541816711425,
+      "epoch": 7.046396023198011,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00015534690280858405,
+      "loss": 4.4339,
+      "mean_token_accuracy": 0.23090869933366776,
+      "num_tokens": 15502614.0,
+      "step": 8505
+    },
+    {
+      "entropy": 5.342812156677246,
+      "epoch": 7.050538525269262,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00015507639931459615,
+      "loss": 4.5456,
+      "mean_token_accuracy": 0.23020666539669038,
+      "num_tokens": 15511521.0,
+      "step": 8510
+    },
+    {
+      "entropy": 5.217349433898926,
+      "epoch": 7.054681027340513,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000154806137719616,
+      "loss": 4.4838,
+      "mean_token_accuracy": 0.22951803505420684,
+      "num_tokens": 15520220.0,
+      "step": 8515
+    },
+    {
+      "entropy": 5.209629344940185,
+      "epoch": 7.0588235294117645,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001545361185687906,
+      "loss": 4.431,
+      "mean_token_accuracy": 0.2416904717683792,
+      "num_tokens": 15528924.0,
+      "step": 8520
+    },
+    {
+      "entropy": 5.182469224929809,
+      "epoch": 7.062966031483016,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00015426634240677824,
+      "loss": 4.4263,
+      "mean_token_accuracy": 0.23380360007286072,
+      "num_tokens": 15539722.0,
+      "step": 8525
+    },
+    {
+      "entropy": 5.2457551002502445,
+      "epoch": 7.067108533554267,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00015399680977774689,
+      "loss": 4.501,
+      "mean_token_accuracy": 0.2327603965997696,
+      "num_tokens": 15548682.0,
+      "step": 8530
+    },
+    {
+      "entropy": 5.270536422729492,
+      "epoch": 7.071251035625518,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00015372752122537318,
+      "loss": 4.4816,
+      "mean_token_accuracy": 0.23249582201242447,
+      "num_tokens": 15557508.0,
+      "step": 8535
+    },
+    {
+      "entropy": 5.2048643112182615,
+      "epoch": 7.075393537696769,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00015345847729284168,
+      "loss": 4.5156,
+      "mean_token_accuracy": 0.23168871104717254,
+      "num_tokens": 15566120.0,
+      "step": 8540
+    },
+    {
+      "entropy": 5.203616809844971,
+      "epoch": 7.07953603976802,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00015318967852284335,
+      "loss": 4.4143,
+      "mean_token_accuracy": 0.24245947301387788,
+      "num_tokens": 15575166.0,
+      "step": 8545
+    },
+    {
+      "entropy": 5.213142776489258,
+      "epoch": 7.083678541839271,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00015292112545757476,
+      "loss": 4.4618,
+      "mean_token_accuracy": 0.22540973722934723,
+      "num_tokens": 15585063.0,
+      "step": 8550
+    },
+    {
+      "entropy": 5.212160682678222,
+      "epoch": 7.087821043910522,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00015265281863873663,
+      "loss": 4.4774,
+      "mean_token_accuracy": 0.23299887031316757,
+      "num_tokens": 15594386.0,
+      "step": 8555
+    },
+    {
+      "entropy": 5.2236042499542235,
+      "epoch": 7.091963545981773,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00015238475860753338,
+      "loss": 4.5,
+      "mean_token_accuracy": 0.22962148636579513,
+      "num_tokens": 15603796.0,
+      "step": 8560
+    },
+    {
+      "entropy": 5.24848952293396,
+      "epoch": 7.096106048053024,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00015211694590467118,
+      "loss": 4.4305,
+      "mean_token_accuracy": 0.24062979519367217,
+      "num_tokens": 15612752.0,
+      "step": 8565
+    },
+    {
+      "entropy": 5.247216987609863,
+      "epoch": 7.100248550124275,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0001518493810703575,
+      "loss": 4.5228,
+      "mean_token_accuracy": 0.22897974401712418,
+      "num_tokens": 15621995.0,
+      "step": 8570
+    },
+    {
+      "entropy": 5.2101912021636965,
+      "epoch": 7.104391052195526,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00015158206464430002,
+      "loss": 4.4774,
+      "mean_token_accuracy": 0.2337987780570984,
+      "num_tokens": 15630390.0,
+      "step": 8575
+    },
+    {
+      "entropy": 5.154296445846557,
+      "epoch": 7.108533554266777,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000151314997165705,
+      "loss": 4.4282,
+      "mean_token_accuracy": 0.2341099962592125,
+      "num_tokens": 15639723.0,
+      "step": 8580
+    },
+    {
+      "entropy": 5.143678855895996,
+      "epoch": 7.112676056338028,
+      "grad_norm": 1.5625,
+      "learning_rate": 0.00015104817917327694,
+      "loss": 4.3389,
+      "mean_token_accuracy": 0.25343778878450396,
+      "num_tokens": 15647755.0,
+      "step": 8585
+    },
+    {
+      "entropy": 5.213784980773926,
+      "epoch": 7.116818558409279,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00015078161120521676,
+      "loss": 4.489,
+      "mean_token_accuracy": 0.24025783091783523,
+      "num_tokens": 15656949.0,
+      "step": 8590
+    },
+    {
+      "entropy": 5.183463621139526,
+      "epoch": 7.12096106048053,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001505152937992211,
+      "loss": 4.4389,
+      "mean_token_accuracy": 0.23687577545642852,
+      "num_tokens": 15666290.0,
+      "step": 8595
+    },
+    {
+      "entropy": 5.265416860580444,
+      "epoch": 7.125103562551781,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00015024922749248143,
+      "loss": 4.4796,
+      "mean_token_accuracy": 0.23623479157686234,
+      "num_tokens": 15675728.0,
+      "step": 8600
+    },
+    {
+      "entropy": 5.224102210998535,
+      "epoch": 7.1292460646230325,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00014998341282168243,
+      "loss": 4.4247,
+      "mean_token_accuracy": 0.24638550877571105,
+      "num_tokens": 15684519.0,
+      "step": 8605
+    },
+    {
+      "entropy": 5.225100469589234,
+      "epoch": 7.133388566694284,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0001497178503230015,
+      "loss": 4.5214,
+      "mean_token_accuracy": 0.2323624387383461,
+      "num_tokens": 15693813.0,
+      "step": 8610
+    },
+    {
+      "entropy": 5.2346985816955565,
+      "epoch": 7.137531068765535,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00014945254053210712,
+      "loss": 4.4972,
+      "mean_token_accuracy": 0.23152748346328736,
+      "num_tokens": 15702245.0,
+      "step": 8615
+    },
+    {
+      "entropy": 5.260819959640503,
+      "epoch": 7.141673570836786,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00014918748398415801,
+      "loss": 4.5132,
+      "mean_token_accuracy": 0.22982551604509355,
+      "num_tokens": 15712246.0,
+      "step": 8620
+    },
+    {
+      "entropy": 5.199164581298828,
+      "epoch": 7.145816072908037,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00014892268121380244,
+      "loss": 4.453,
+      "mean_token_accuracy": 0.23305327594280242,
+      "num_tokens": 15720904.0,
+      "step": 8625
+    },
+    {
+      "entropy": 5.201052474975586,
+      "epoch": 7.149958574979287,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00014865813275517637,
+      "loss": 4.4464,
+      "mean_token_accuracy": 0.24035904705524444,
+      "num_tokens": 15730595.0,
+      "step": 8630
+    },
+    {
+      "entropy": 5.160213327407837,
+      "epoch": 7.154101077050538,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00014839383914190302,
+      "loss": 4.4113,
+      "mean_token_accuracy": 0.2371663734316826,
+      "num_tokens": 15739475.0,
+      "step": 8635
+    },
+    {
+      "entropy": 5.202706527709961,
+      "epoch": 7.158243579121789,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001481298009070915,
+      "loss": 4.4357,
+      "mean_token_accuracy": 0.2400374785065651,
+      "num_tokens": 15748672.0,
+      "step": 8640
+    },
+    {
+      "entropy": 5.255636262893677,
+      "epoch": 7.16238608119304,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00014786601858333566,
+      "loss": 4.4665,
+      "mean_token_accuracy": 0.2322999894618988,
+      "num_tokens": 15757540.0,
+      "step": 8645
+    },
+    {
+      "entropy": 5.19217586517334,
+      "epoch": 7.1665285832642915,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00014760249270271341,
+      "loss": 4.4882,
+      "mean_token_accuracy": 0.23090190291404725,
+      "num_tokens": 15767198.0,
+      "step": 8650
+    },
+    {
+      "entropy": 5.181815910339355,
+      "epoch": 7.170671085335543,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00014733922379678513,
+      "loss": 4.444,
+      "mean_token_accuracy": 0.2331250548362732,
+      "num_tokens": 15776818.0,
+      "step": 8655
+    },
+    {
+      "entropy": 5.310377168655395,
+      "epoch": 7.174813587406794,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00014707621239659312,
+      "loss": 4.5959,
+      "mean_token_accuracy": 0.22294886857271196,
+      "num_tokens": 15786054.0,
+      "step": 8660
+    },
+    {
+      "entropy": 5.248941802978516,
+      "epoch": 7.178956089478045,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001468134590326601,
+      "loss": 4.5396,
+      "mean_token_accuracy": 0.22474610805511475,
+      "num_tokens": 15795367.0,
+      "step": 8665
+    },
+    {
+      "entropy": 5.275604391098023,
+      "epoch": 7.183098591549296,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001465509642349881,
+      "loss": 4.521,
+      "mean_token_accuracy": 0.22873310893774032,
+      "num_tokens": 15805006.0,
+      "step": 8670
+    },
+    {
+      "entropy": 5.279868030548096,
+      "epoch": 7.187241093620547,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00014628872853305808,
+      "loss": 4.5661,
+      "mean_token_accuracy": 0.21865685284137726,
+      "num_tokens": 15813978.0,
+      "step": 8675
+    },
+    {
+      "entropy": 5.2523754119873045,
+      "epoch": 7.191383595691798,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00014602675245582795,
+      "loss": 4.5336,
+      "mean_token_accuracy": 0.23225435018539428,
+      "num_tokens": 15824156.0,
+      "step": 8680
+    },
+    {
+      "entropy": 5.277890396118164,
+      "epoch": 7.195526097763049,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00014576503653173219,
+      "loss": 4.5739,
+      "mean_token_accuracy": 0.22429476380348207,
+      "num_tokens": 15833514.0,
+      "step": 8685
+    },
+    {
+      "entropy": 5.269798374176025,
+      "epoch": 7.1996685998342995,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00014550358128868036,
+      "loss": 4.5337,
+      "mean_token_accuracy": 0.2327092170715332,
+      "num_tokens": 15842047.0,
+      "step": 8690
+    },
+    {
+      "entropy": 5.283967399597168,
+      "epoch": 7.203811101905551,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00014524238725405615,
+      "loss": 4.5696,
+      "mean_token_accuracy": 0.230625981092453,
+      "num_tokens": 15851916.0,
+      "step": 8695
+    },
+    {
+      "entropy": 5.251355886459351,
+      "epoch": 7.207953603976802,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00014498145495471664,
+      "loss": 4.4735,
+      "mean_token_accuracy": 0.23564820736646652,
+      "num_tokens": 15860776.0,
+      "step": 8700
+    },
+    {
+      "entropy": 5.227689504623413,
+      "epoch": 7.212096106048053,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00014472078491699076,
+      "loss": 4.5561,
+      "mean_token_accuracy": 0.22959548383951187,
+      "num_tokens": 15870272.0,
+      "step": 8705
+    },
+    {
+      "entropy": 5.2320441722869875,
+      "epoch": 7.216238608119304,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0001444603776666784,
+      "loss": 4.4616,
+      "mean_token_accuracy": 0.23800074458122253,
+      "num_tokens": 15879448.0,
+      "step": 8710
+    },
+    {
+      "entropy": 5.309765768051148,
+      "epoch": 7.220381110190555,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00014420023372904944,
+      "loss": 4.5565,
+      "mean_token_accuracy": 0.22581303268671035,
+      "num_tokens": 15888806.0,
+      "step": 8715
+    },
+    {
+      "entropy": 5.223542404174805,
+      "epoch": 7.224523612261806,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00014394035362884274,
+      "loss": 4.5296,
+      "mean_token_accuracy": 0.23095161318778992,
+      "num_tokens": 15898443.0,
+      "step": 8720
+    },
+    {
+      "entropy": 5.220206260681152,
+      "epoch": 7.228666114333057,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00014368073789026482,
+      "loss": 4.4329,
+      "mean_token_accuracy": 0.2360845535993576,
+      "num_tokens": 15907759.0,
+      "step": 8725
+    },
+    {
+      "entropy": 5.230159711837769,
+      "epoch": 7.232808616404308,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00014342138703698882,
+      "loss": 4.4162,
+      "mean_token_accuracy": 0.24004922807216644,
+      "num_tokens": 15916687.0,
+      "step": 8730
+    },
+    {
+      "entropy": 5.2235363006591795,
+      "epoch": 7.2369511184755595,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.000143162301592154,
+      "loss": 4.48,
+      "mean_token_accuracy": 0.23941969871520996,
+      "num_tokens": 15925422.0,
+      "step": 8735
+    },
+    {
+      "entropy": 5.1952455043792725,
+      "epoch": 7.241093620546811,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00014290348207836385,
+      "loss": 4.4895,
+      "mean_token_accuracy": 0.2233983114361763,
+      "num_tokens": 15934279.0,
+      "step": 8740
+    },
+    {
+      "entropy": 5.200940227508545,
+      "epoch": 7.245236122618062,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001426449290176857,
+      "loss": 4.4485,
+      "mean_token_accuracy": 0.24146829843521117,
+      "num_tokens": 15943565.0,
+      "step": 8745
+    },
+    {
+      "entropy": 5.166256427764893,
+      "epoch": 7.249378624689312,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00014238664293164934,
+      "loss": 4.4391,
+      "mean_token_accuracy": 0.24021793454885482,
+      "num_tokens": 15952360.0,
+      "step": 8750
+    },
+    {
+      "entropy": 5.23963360786438,
+      "epoch": 7.253521126760563,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0001421286243412459,
+      "loss": 4.4776,
+      "mean_token_accuracy": 0.22992977499961853,
+      "num_tokens": 15960715.0,
+      "step": 8755
+    },
+    {
+      "entropy": 5.244385242462158,
+      "epoch": 7.257663628831814,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00014187087376692724,
+      "loss": 4.5058,
+      "mean_token_accuracy": 0.23199538439512252,
+      "num_tokens": 15969543.0,
+      "step": 8760
+    },
+    {
+      "entropy": 5.147299814224243,
+      "epoch": 7.261806130903065,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001416133917286043,
+      "loss": 4.4457,
+      "mean_token_accuracy": 0.23225277662277222,
+      "num_tokens": 15978256.0,
+      "step": 8765
+    },
+    {
+      "entropy": 5.203030776977539,
+      "epoch": 7.265948632974316,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001413561787456466,
+      "loss": 4.4327,
+      "mean_token_accuracy": 0.23831526637077333,
+      "num_tokens": 15987646.0,
+      "step": 8770
+    },
+    {
+      "entropy": 5.234354543685913,
+      "epoch": 7.2700911350455675,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00014109923533688068,
+      "loss": 4.4492,
+      "mean_token_accuracy": 0.23111054450273513,
+      "num_tokens": 15996767.0,
+      "step": 8775
+    },
+    {
+      "entropy": 5.211431694030762,
+      "epoch": 7.274233637116819,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0001408425620205897,
+      "loss": 4.4718,
+      "mean_token_accuracy": 0.23208508044481277,
+      "num_tokens": 16007170.0,
+      "step": 8780
+    },
+    {
+      "entropy": 5.255538749694824,
+      "epoch": 7.27837613918807,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001405861593145116,
+      "loss": 4.4987,
+      "mean_token_accuracy": 0.22857699245214463,
+      "num_tokens": 16015354.0,
+      "step": 8785
+    },
+    {
+      "entropy": 5.275969696044922,
+      "epoch": 7.282518641259321,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00014033002773583872,
+      "loss": 4.4955,
+      "mean_token_accuracy": 0.22325098514556885,
+      "num_tokens": 16024600.0,
+      "step": 8790
+    },
+    {
+      "entropy": 5.268600225448608,
+      "epoch": 7.286661143330572,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001400741678012164,
+      "loss": 4.4813,
+      "mean_token_accuracy": 0.2368546172976494,
+      "num_tokens": 16033301.0,
+      "step": 8795
+    },
+    {
+      "entropy": 5.252548122406006,
+      "epoch": 7.290803645401823,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00013981858002674223,
+      "loss": 4.5322,
+      "mean_token_accuracy": 0.22765524685382843,
+      "num_tokens": 16043539.0,
+      "step": 8800
+    },
+    {
+      "entropy": 5.284696912765503,
+      "epoch": 7.294946147473074,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001395632649279645,
+      "loss": 4.5687,
+      "mean_token_accuracy": 0.22771918177604675,
+      "num_tokens": 16052861.0,
+      "step": 8805
+    },
+    {
+      "entropy": 5.268942785263062,
+      "epoch": 7.299088649544325,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00013930822301988177,
+      "loss": 4.4622,
+      "mean_token_accuracy": 0.23665641099214554,
+      "num_tokens": 16062454.0,
+      "step": 8810
+    },
+    {
+      "entropy": 5.201201915740967,
+      "epoch": 7.3032311516155755,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00013905345481694147,
+      "loss": 4.4705,
+      "mean_token_accuracy": 0.2322714164853096,
+      "num_tokens": 16071432.0,
+      "step": 8815
+    },
+    {
+      "entropy": 5.172683620452881,
+      "epoch": 7.307373653686827,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001387989608330388,
+      "loss": 4.4437,
+      "mean_token_accuracy": 0.23548867851495742,
+      "num_tokens": 16080411.0,
+      "step": 8820
+    },
+    {
+      "entropy": 5.220728492736816,
+      "epoch": 7.311516155758078,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013854474158151602,
+      "loss": 4.486,
+      "mean_token_accuracy": 0.22679401338100433,
+      "num_tokens": 16089396.0,
+      "step": 8825
+    },
+    {
+      "entropy": 5.26025390625,
+      "epoch": 7.315658657829329,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00013829079757516106,
+      "loss": 4.5679,
+      "mean_token_accuracy": 0.224435892701149,
+      "num_tokens": 16099308.0,
+      "step": 8830
+    },
+    {
+      "entropy": 5.22006459236145,
+      "epoch": 7.31980115990058,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013803712932620681,
+      "loss": 4.5028,
+      "mean_token_accuracy": 0.22673140466213226,
+      "num_tokens": 16109336.0,
+      "step": 8835
+    },
+    {
+      "entropy": 5.267045164108277,
+      "epoch": 7.323943661971831,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001377837373463298,
+      "loss": 4.4931,
+      "mean_token_accuracy": 0.2302021786570549,
+      "num_tokens": 16118483.0,
+      "step": 8840
+    },
+    {
+      "entropy": 5.240559911727905,
+      "epoch": 7.328086164043082,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0001375306221466494,
+      "loss": 4.4713,
+      "mean_token_accuracy": 0.22934858202934266,
+      "num_tokens": 16127302.0,
+      "step": 8845
+    },
+    {
+      "entropy": 5.200973415374756,
+      "epoch": 7.332228666114333,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00013727778423772654,
+      "loss": 4.5353,
+      "mean_token_accuracy": 0.22502323240041733,
+      "num_tokens": 16136361.0,
+      "step": 8850
+    },
+    {
+      "entropy": 5.302484941482544,
+      "epoch": 7.336371168185584,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00013702522412956304,
+      "loss": 4.5868,
+      "mean_token_accuracy": 0.22618300914764405,
+      "num_tokens": 16146071.0,
+      "step": 8855
+    },
+    {
+      "entropy": 5.299910354614258,
+      "epoch": 7.340513670256835,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00013677294233160016,
+      "loss": 4.5189,
+      "mean_token_accuracy": 0.22607939094305038,
+      "num_tokens": 16154606.0,
+      "step": 8860
+    },
+    {
+      "entropy": 5.193687105178833,
+      "epoch": 7.3446561723280865,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013652093935271776,
+      "loss": 4.4767,
+      "mean_token_accuracy": 0.24149058610200883,
+      "num_tokens": 16163648.0,
+      "step": 8865
+    },
+    {
+      "entropy": 5.282410192489624,
+      "epoch": 7.348798674399337,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013626921570123357,
+      "loss": 4.5431,
+      "mean_token_accuracy": 0.22477766126394272,
+      "num_tokens": 16172693.0,
+      "step": 8870
+    },
+    {
+      "entropy": 5.204723453521728,
+      "epoch": 7.352941176470588,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00013601777188490156,
+      "loss": 4.4384,
+      "mean_token_accuracy": 0.23236895948648453,
+      "num_tokens": 16181689.0,
+      "step": 8875
+    },
+    {
+      "entropy": 5.202375221252441,
+      "epoch": 7.357083678541839,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0001357666084109115,
+      "loss": 4.5693,
+      "mean_token_accuracy": 0.22547451853752137,
+      "num_tokens": 16191254.0,
+      "step": 8880
+    },
+    {
+      "entropy": 5.271569538116455,
+      "epoch": 7.36122618061309,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001355157257858875,
+      "loss": 4.4698,
+      "mean_token_accuracy": 0.23402072489261627,
+      "num_tokens": 16199613.0,
+      "step": 8885
+    },
+    {
+      "entropy": 5.213530111312866,
+      "epoch": 7.365368682684341,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013526512451588718,
+      "loss": 4.4584,
+      "mean_token_accuracy": 0.23570594042539597,
+      "num_tokens": 16208345.0,
+      "step": 8890
+    },
+    {
+      "entropy": 5.259526348114013,
+      "epoch": 7.369511184755592,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0001350148051064008,
+      "loss": 4.5219,
+      "mean_token_accuracy": 0.23035535961389542,
+      "num_tokens": 16217964.0,
+      "step": 8895
+    },
+    {
+      "entropy": 5.259307479858398,
+      "epoch": 7.373653686826843,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00013476476806234983,
+      "loss": 4.5768,
+      "mean_token_accuracy": 0.2261824905872345,
+      "num_tokens": 16227140.0,
+      "step": 8900
+    },
+    {
+      "entropy": 5.320018339157104,
+      "epoch": 7.3777961888980945,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0001345150138880865,
+      "loss": 4.5291,
+      "mean_token_accuracy": 0.22605375498533248,
+      "num_tokens": 16237416.0,
+      "step": 8905
+    },
+    {
+      "entropy": 5.313902473449707,
+      "epoch": 7.381938690969346,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00013426554308739214,
+      "loss": 4.5596,
+      "mean_token_accuracy": 0.2251575157046318,
+      "num_tokens": 16246682.0,
+      "step": 8910
+    },
+    {
+      "entropy": 5.246820068359375,
+      "epoch": 7.386081193040597,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00013401635616347655,
+      "loss": 4.5364,
+      "mean_token_accuracy": 0.2272168666124344,
+      "num_tokens": 16255450.0,
+      "step": 8915
+    },
+    {
+      "entropy": 5.129112625122071,
+      "epoch": 7.390223695111848,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013376745361897712,
+      "loss": 4.4317,
+      "mean_token_accuracy": 0.24068772196769714,
+      "num_tokens": 16265014.0,
+      "step": 8920
+    },
+    {
+      "entropy": 5.284948348999023,
+      "epoch": 7.394366197183099,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00013351883595595743,
+      "loss": 4.5167,
+      "mean_token_accuracy": 0.23356657475233078,
+      "num_tokens": 16273309.0,
+      "step": 8925
+    },
+    {
+      "entropy": 5.225611877441406,
+      "epoch": 7.39850869925435,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001332705036759065,
+      "loss": 4.4788,
+      "mean_token_accuracy": 0.22821299731731415,
+      "num_tokens": 16282129.0,
+      "step": 8930
+    },
+    {
+      "entropy": 5.155527019500733,
+      "epoch": 7.4026512013256,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0001330224572797377,
+      "loss": 4.4512,
+      "mean_token_accuracy": 0.2339691624045372,
+      "num_tokens": 16291208.0,
+      "step": 8935
+    },
+    {
+      "entropy": 5.221278285980224,
+      "epoch": 7.406793703396851,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00013277469726778756,
+      "loss": 4.4484,
+      "mean_token_accuracy": 0.2374333918094635,
+      "num_tokens": 16300111.0,
+      "step": 8940
+    },
+    {
+      "entropy": 5.253650236129761,
+      "epoch": 7.4109362054681025,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001325272241398153,
+      "loss": 4.4236,
+      "mean_token_accuracy": 0.24237828254699706,
+      "num_tokens": 16308653.0,
+      "step": 8945
+    },
+    {
+      "entropy": 5.303265380859375,
+      "epoch": 7.415078707539354,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013228003839500113,
+      "loss": 4.5048,
+      "mean_token_accuracy": 0.23030605614185334,
+      "num_tokens": 16317986.0,
+      "step": 8950
+    },
+    {
+      "entropy": 5.250785398483276,
+      "epoch": 7.419221209610605,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001320331405319458,
+      "loss": 4.4978,
+      "mean_token_accuracy": 0.23015536218881608,
+      "num_tokens": 16326889.0,
+      "step": 8955
+    },
+    {
+      "entropy": 5.175545310974121,
+      "epoch": 7.423363711681856,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013178653104866926,
+      "loss": 4.5135,
+      "mean_token_accuracy": 0.2249376356601715,
+      "num_tokens": 16336121.0,
+      "step": 8960
+    },
+    {
+      "entropy": 5.223824167251587,
+      "epoch": 7.427506213753107,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.00013154021044260966,
+      "loss": 4.5654,
+      "mean_token_accuracy": 0.22634392529726027,
+      "num_tokens": 16345216.0,
+      "step": 8965
+    },
+    {
+      "entropy": 5.167584037780761,
+      "epoch": 7.431648715824358,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00013129417921062275,
+      "loss": 4.4047,
+      "mean_token_accuracy": 0.24216125905513763,
+      "num_tokens": 16353735.0,
+      "step": 8970
+    },
+    {
+      "entropy": 5.213489151000976,
+      "epoch": 7.435791217895609,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001310484378489803,
+      "loss": 4.4363,
+      "mean_token_accuracy": 0.23906279355287552,
+      "num_tokens": 16362474.0,
+      "step": 8975
+    },
+    {
+      "entropy": 5.264641571044922,
+      "epoch": 7.43993371996686,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013080298685336957,
+      "loss": 4.5711,
+      "mean_token_accuracy": 0.22207222431898116,
+      "num_tokens": 16371948.0,
+      "step": 8980
+    },
+    {
+      "entropy": 5.193941831588745,
+      "epoch": 7.444076222038111,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00013055782671889205,
+      "loss": 4.4657,
+      "mean_token_accuracy": 0.23412289023399352,
+      "num_tokens": 16380849.0,
+      "step": 8985
+    },
+    {
+      "entropy": 5.256904029846192,
+      "epoch": 7.448218724109362,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0001303129579400624,
+      "loss": 4.5758,
+      "mean_token_accuracy": 0.21966907531023025,
+      "num_tokens": 16389495.0,
+      "step": 8990
+    },
+    {
+      "entropy": 5.242080307006836,
+      "epoch": 7.452361226180613,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001300683810108078,
+      "loss": 4.44,
+      "mean_token_accuracy": 0.23775164783000946,
+      "num_tokens": 16397744.0,
+      "step": 8995
+    },
+    {
+      "entropy": 5.198620891571045,
+      "epoch": 7.456503728251864,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0001298240964244666,
+      "loss": 4.4774,
+      "mean_token_accuracy": 0.22778769880533217,
+      "num_tokens": 16406785.0,
+      "step": 9000
+    },
+    {
+      "epoch": 7.456503728251864,
+      "eval_entropy": 5.137435206472238,
+      "eval_loss": 5.726848125457764,
+      "eval_mean_token_accuracy": 0.16911925307151351,
+      "eval_num_tokens": 16406785.0,
+      "eval_runtime": 2.7388,
+      "eval_samples_per_second": 1368.12,
+      "eval_steps_per_second": 171.243,
+      "step": 9000
+    },
+    {
+      "entropy": 5.236600065231324,
+      "epoch": 7.460646230323115,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001295801046737876,
+      "loss": 4.5195,
+      "mean_token_accuracy": 0.23866655230522155,
+      "num_tokens": 16415768.0,
+      "step": 9005
+    },
+    {
+      "entropy": 5.189950561523437,
+      "epoch": 7.464788732394366,
+      "grad_norm": 1.53125,
+      "learning_rate": 0.00012933640625092867,
+      "loss": 4.4701,
+      "mean_token_accuracy": 0.2334812819957733,
+      "num_tokens": 16424722.0,
+      "step": 9010
+    },
+    {
+      "entropy": 5.206139373779297,
+      "epoch": 7.468931234465617,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00012909300164745636,
+      "loss": 4.4532,
+      "mean_token_accuracy": 0.24083833396434784,
+      "num_tokens": 16433797.0,
+      "step": 9015
+    },
+    {
+      "entropy": 5.195779943466187,
+      "epoch": 7.473073736536868,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00012884989135434423,
+      "loss": 4.4113,
+      "mean_token_accuracy": 0.23783705085515977,
+      "num_tokens": 16442537.0,
+      "step": 9020
+    },
+    {
+      "entropy": 5.241878795623779,
+      "epoch": 7.477216238608119,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00012860707586197218,
+      "loss": 4.5289,
+      "mean_token_accuracy": 0.23057866245508193,
+      "num_tokens": 16451440.0,
+      "step": 9025
+    },
+    {
+      "entropy": 5.202231788635254,
+      "epoch": 7.4813587406793705,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00012836455566012586,
+      "loss": 4.5065,
+      "mean_token_accuracy": 0.22772400230169296,
+      "num_tokens": 16459358.0,
+      "step": 9030
+    },
+    {
+      "entropy": 5.1701904296875,
+      "epoch": 7.485501242750622,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00012812233123799481,
+      "loss": 4.3761,
+      "mean_token_accuracy": 0.24460603147745133,
+      "num_tokens": 16467584.0,
+      "step": 9035
+    },
+    {
+      "entropy": 5.232595682144165,
+      "epoch": 7.489643744821873,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00012788040308417232,
+      "loss": 4.5119,
+      "mean_token_accuracy": 0.22690969109535217,
+      "num_tokens": 16476674.0,
+      "step": 9040
+    },
+    {
+      "entropy": 5.18615756034851,
+      "epoch": 7.493786246893124,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00012763877168665383,
+      "loss": 4.3977,
+      "mean_token_accuracy": 0.23276474177837372,
+      "num_tokens": 16485422.0,
+      "step": 9045
+    },
+    {
+      "entropy": 5.259172058105468,
+      "epoch": 7.497928748964375,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00012739743753283617,
+      "loss": 4.594,
+      "mean_token_accuracy": 0.23090241551399232,
+      "num_tokens": 16494024.0,
+      "step": 9050
+    },
+    {
+      "entropy": 5.212364196777344,
+      "epoch": 7.502071251035625,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001271564011095169,
+      "loss": 4.567,
+      "mean_token_accuracy": 0.22396907359361648,
+      "num_tokens": 16503805.0,
+      "step": 9055
+    },
+    {
+      "entropy": 5.238067293167115,
+      "epoch": 7.506213753106876,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001269156629028927,
+      "loss": 4.5034,
+      "mean_token_accuracy": 0.22764867544174194,
+      "num_tokens": 16512559.0,
+      "step": 9060
+    },
+    {
+      "entropy": 5.283909463882447,
+      "epoch": 7.510356255178127,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.0001266752233985589,
+      "loss": 4.5421,
+      "mean_token_accuracy": 0.22903914898633956,
+      "num_tokens": 16521910.0,
+      "step": 9065
+    },
+    {
+      "entropy": 5.228765964508057,
+      "epoch": 7.514498757249378,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00012643508308150822,
+      "loss": 4.481,
+      "mean_token_accuracy": 0.23210673332214354,
+      "num_tokens": 16530802.0,
+      "step": 9070
+    },
+    {
+      "entropy": 5.175292682647705,
+      "epoch": 7.5186412593206295,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001261952424361299,
+      "loss": 4.4682,
+      "mean_token_accuracy": 0.2365036979317665,
+      "num_tokens": 16540519.0,
+      "step": 9075
+    },
+    {
+      "entropy": 5.187702560424805,
+      "epoch": 7.522783761391881,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0001259557019462088,
+      "loss": 4.4624,
+      "mean_token_accuracy": 0.22708640843629838,
+      "num_tokens": 16549433.0,
+      "step": 9080
+    },
+    {
+      "entropy": 5.2191469192504885,
+      "epoch": 7.526926263463132,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00012571646209492417,
+      "loss": 4.5106,
+      "mean_token_accuracy": 0.2241887181997299,
+      "num_tokens": 16558128.0,
+      "step": 9085
+    },
+    {
+      "entropy": 5.1911474704742435,
+      "epoch": 7.531068765534383,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00012547752336484908,
+      "loss": 4.4329,
+      "mean_token_accuracy": 0.2339310199022293,
+      "num_tokens": 16566636.0,
+      "step": 9090
+    },
+    {
+      "entropy": 5.222174024581909,
+      "epoch": 7.535211267605634,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00012523888623794892,
+      "loss": 4.4508,
+      "mean_token_accuracy": 0.22641565501689911,
+      "num_tokens": 16575036.0,
+      "step": 9095
+    },
+    {
+      "entropy": 5.18636269569397,
+      "epoch": 7.539353769676885,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.0001250005511955809,
+      "loss": 4.4813,
+      "mean_token_accuracy": 0.23633484840393065,
+      "num_tokens": 16584146.0,
+      "step": 9100
+    },
+    {
+      "entropy": 5.267010164260864,
+      "epoch": 7.543496271748136,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001247625187184929,
+      "loss": 4.5566,
+      "mean_token_accuracy": 0.23071260899305343,
+      "num_tokens": 16593915.0,
+      "step": 9105
+    },
+    {
+      "entropy": 5.261574983596802,
+      "epoch": 7.547638773819386,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.0001245247892868223,
+      "loss": 4.4222,
+      "mean_token_accuracy": 0.24024491608142853,
+      "num_tokens": 16601490.0,
+      "step": 9110
+    },
+    {
+      "entropy": 5.231517314910889,
+      "epoch": 7.551781275890638,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0001242873633800955,
+      "loss": 4.5248,
+      "mean_token_accuracy": 0.22314041405916213,
+      "num_tokens": 16610972.0,
+      "step": 9115
+    },
+    {
+      "entropy": 5.2491841316223145,
+      "epoch": 7.555923777961889,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00012405024147722643,
+      "loss": 4.4864,
+      "mean_token_accuracy": 0.22206981778144835,
+      "num_tokens": 16619388.0,
+      "step": 9120
+    },
+    {
+      "entropy": 5.113521718978882,
+      "epoch": 7.56006628003314,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001238134240565158,
+      "loss": 4.4453,
+      "mean_token_accuracy": 0.23808686733245848,
+      "num_tokens": 16628265.0,
+      "step": 9125
+    },
+    {
+      "entropy": 5.1795234203338625,
+      "epoch": 7.564208782104391,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0001235769115956504,
+      "loss": 4.4003,
+      "mean_token_accuracy": 0.24365673661231996,
+      "num_tokens": 16636809.0,
+      "step": 9130
+    },
+    {
+      "entropy": 5.292108011245728,
+      "epoch": 7.568351284175642,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00012334070457170151,
+      "loss": 4.5798,
+      "mean_token_accuracy": 0.22227199971675873,
+      "num_tokens": 16646084.0,
+      "step": 9135
+    },
+    {
+      "entropy": 5.296937656402588,
+      "epoch": 7.572493786246893,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00012310480346112472,
+      "loss": 4.611,
+      "mean_token_accuracy": 0.2216431438922882,
+      "num_tokens": 16656196.0,
+      "step": 9140
+    },
+    {
+      "entropy": 5.209884786605835,
+      "epoch": 7.576636288318144,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00012286920873975815,
+      "loss": 4.5105,
+      "mean_token_accuracy": 0.22829700261354446,
+      "num_tokens": 16665770.0,
+      "step": 9145
+    },
+    {
+      "entropy": 5.213883733749389,
+      "epoch": 7.580778790389395,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00012263392088282226,
+      "loss": 4.4418,
+      "mean_token_accuracy": 0.24046860188245772,
+      "num_tokens": 16674206.0,
+      "step": 9150
+    },
+    {
+      "entropy": 5.187081003189087,
+      "epoch": 7.584921292460646,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00012239894036491833,
+      "loss": 4.4749,
+      "mean_token_accuracy": 0.2309769421815872,
+      "num_tokens": 16683977.0,
+      "step": 9155
+    },
+    {
+      "entropy": 5.184215354919433,
+      "epoch": 7.5890637945318975,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.00012216426766002762,
+      "loss": 4.4464,
+      "mean_token_accuracy": 0.23352074921131133,
+      "num_tokens": 16693117.0,
+      "step": 9160
+    },
+    {
+      "entropy": 5.220042276382446,
+      "epoch": 7.593206296603149,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00012192990324151079,
+      "loss": 4.4633,
+      "mean_token_accuracy": 0.23336823433637618,
+      "num_tokens": 16701631.0,
+      "step": 9165
+    },
+    {
+      "entropy": 5.242423677444458,
+      "epoch": 7.5973487986744,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00012169584758210635,
+      "loss": 4.5412,
+      "mean_token_accuracy": 0.23175331354141235,
+      "num_tokens": 16710337.0,
+      "step": 9170
+    },
+    {
+      "entropy": 5.182403945922852,
+      "epoch": 7.60149130074565,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00012146210115393025,
+      "loss": 4.4635,
+      "mean_token_accuracy": 0.2343884065747261,
+      "num_tokens": 16719046.0,
+      "step": 9175
+    },
+    {
+      "entropy": 5.217220401763916,
+      "epoch": 7.605633802816901,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00012122866442847455,
+      "loss": 4.5145,
+      "mean_token_accuracy": 0.2259568005800247,
+      "num_tokens": 16727860.0,
+      "step": 9180
+    },
+    {
+      "entropy": 5.235024166107178,
+      "epoch": 7.609776304888152,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00012099553787660654,
+      "loss": 4.5803,
+      "mean_token_accuracy": 0.23205377757549286,
+      "num_tokens": 16737839.0,
+      "step": 9185
+    },
+    {
+      "entropy": 5.158119058609008,
+      "epoch": 7.613918806959403,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00012076272196856808,
+      "loss": 4.4573,
+      "mean_token_accuracy": 0.2307577461004257,
+      "num_tokens": 16746171.0,
+      "step": 9190
+    },
+    {
+      "entropy": 5.198251819610595,
+      "epoch": 7.618061309030654,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0001205302171739742,
+      "loss": 4.4448,
+      "mean_token_accuracy": 0.2381545603275299,
+      "num_tokens": 16755236.0,
+      "step": 9195
+    },
+    {
+      "entropy": 5.211521863937378,
+      "epoch": 7.6222038111019055,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00012029802396181256,
+      "loss": 4.4663,
+      "mean_token_accuracy": 0.2303634077310562,
+      "num_tokens": 16764126.0,
+      "step": 9200
+    },
+    {
+      "entropy": 5.242390394210815,
+      "epoch": 7.626346313173157,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00012006614280044225,
+      "loss": 4.5253,
+      "mean_token_accuracy": 0.2375326469540596,
+      "num_tokens": 16772861.0,
+      "step": 9205
+    },
+    {
+      "entropy": 5.234907102584839,
+      "epoch": 7.630488815244408,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00011983457415759274,
+      "loss": 4.5015,
+      "mean_token_accuracy": 0.23732417970895767,
+      "num_tokens": 16782119.0,
+      "step": 9210
+    },
+    {
+      "entropy": 5.261215591430664,
+      "epoch": 7.634631317315659,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.00011960331850036352,
+      "loss": 4.5405,
+      "mean_token_accuracy": 0.22217481583356857,
+      "num_tokens": 16790531.0,
+      "step": 9215
+    },
+    {
+      "entropy": 5.176897668838501,
+      "epoch": 7.63877381938691,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00011937237629522233,
+      "loss": 4.4532,
+      "mean_token_accuracy": 0.23413067758083345,
+      "num_tokens": 16799516.0,
+      "step": 9220
+    },
+    {
+      "entropy": 5.238109970092774,
+      "epoch": 7.642916321458161,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00011914174800800501,
+      "loss": 4.502,
+      "mean_token_accuracy": 0.2298160970211029,
+      "num_tokens": 16807830.0,
+      "step": 9225
+    },
+    {
+      "entropy": 5.269895887374878,
+      "epoch": 7.647058823529412,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00011891143410391387,
+      "loss": 4.565,
+      "mean_token_accuracy": 0.22582002878189086,
+      "num_tokens": 16816987.0,
+      "step": 9230
+    },
+    {
+      "entropy": 5.18939995765686,
+      "epoch": 7.651201325600663,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00011868143504751732,
+      "loss": 4.3949,
+      "mean_token_accuracy": 0.23891554325819014,
+      "num_tokens": 16825723.0,
+      "step": 9235
+    },
+    {
+      "entropy": 5.219127750396728,
+      "epoch": 7.6553438276719135,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00011845175130274848,
+      "loss": 4.5034,
+      "mean_token_accuracy": 0.23103347569704055,
+      "num_tokens": 16835429.0,
+      "step": 9240
+    },
+    {
+      "entropy": 5.194927597045899,
+      "epoch": 7.659486329743165,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011822238333290475,
+      "loss": 4.4327,
+      "mean_token_accuracy": 0.24837690144777297,
+      "num_tokens": 16844693.0,
+      "step": 9245
+    },
+    {
+      "entropy": 5.20636739730835,
+      "epoch": 7.663628831814416,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00011799333160064617,
+      "loss": 4.4855,
+      "mean_token_accuracy": 0.23225704431533814,
+      "num_tokens": 16853058.0,
+      "step": 9250
+    },
+    {
+      "entropy": 5.287894773483276,
+      "epoch": 7.667771333885667,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0001177645965679953,
+      "loss": 4.5412,
+      "mean_token_accuracy": 0.2231143057346344,
+      "num_tokens": 16863017.0,
+      "step": 9255
+    },
+    {
+      "entropy": 5.163079929351807,
+      "epoch": 7.671913835956918,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00011753617869633561,
+      "loss": 4.4049,
+      "mean_token_accuracy": 0.23928526490926744,
+      "num_tokens": 16872054.0,
+      "step": 9260
+    },
+    {
+      "entropy": 5.2851978778839115,
+      "epoch": 7.676056338028169,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00011730807844641085,
+      "loss": 4.5402,
+      "mean_token_accuracy": 0.2318034812808037,
+      "num_tokens": 16881554.0,
+      "step": 9265
+    },
+    {
+      "entropy": 5.190302848815918,
+      "epoch": 7.68019884009942,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00011708029627832431,
+      "loss": 4.5038,
+      "mean_token_accuracy": 0.23283302932977676,
+      "num_tokens": 16890050.0,
+      "step": 9270
+    },
+    {
+      "entropy": 5.259742593765258,
+      "epoch": 7.684341342170671,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00011685283265153732,
+      "loss": 4.4511,
+      "mean_token_accuracy": 0.2353460371494293,
+      "num_tokens": 16899298.0,
+      "step": 9275
+    },
+    {
+      "entropy": 5.3122483253479,
+      "epoch": 7.688483844241922,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00011662568802486905,
+      "loss": 4.5545,
+      "mean_token_accuracy": 0.22228943407535554,
+      "num_tokens": 16908227.0,
+      "step": 9280
+    },
+    {
+      "entropy": 5.272556734085083,
+      "epoch": 7.692626346313173,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00011639886285649489,
+      "loss": 4.5396,
+      "mean_token_accuracy": 0.22207894474267958,
+      "num_tokens": 16917708.0,
+      "step": 9285
+    },
+    {
+      "entropy": 5.160271692276001,
+      "epoch": 7.6967688483844245,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00011617235760394614,
+      "loss": 4.3672,
+      "mean_token_accuracy": 0.25004381984472274,
+      "num_tokens": 16926108.0,
+      "step": 9290
+    },
+    {
+      "entropy": 5.235444402694702,
+      "epoch": 7.700911350455675,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001159461727241085,
+      "loss": 4.4974,
+      "mean_token_accuracy": 0.22936034947633743,
+      "num_tokens": 16935821.0,
+      "step": 9295
+    },
+    {
+      "entropy": 5.198528051376343,
+      "epoch": 7.705053852526927,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001157203086732217,
+      "loss": 4.5459,
+      "mean_token_accuracy": 0.22811468094587325,
+      "num_tokens": 16944899.0,
+      "step": 9300
+    },
+    {
+      "entropy": 5.187997674942016,
+      "epoch": 7.709196354598177,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00011549476590687811,
+      "loss": 4.4804,
+      "mean_token_accuracy": 0.23926871865987778,
+      "num_tokens": 16953745.0,
+      "step": 9305
+    },
+    {
+      "entropy": 5.313058137893677,
+      "epoch": 7.713338856669428,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00011526954488002227,
+      "loss": 4.5838,
+      "mean_token_accuracy": 0.22520019114017487,
+      "num_tokens": 16962940.0,
+      "step": 9310
+    },
+    {
+      "entropy": 5.229482698440552,
+      "epoch": 7.717481358740679,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00011504464604694953,
+      "loss": 4.4865,
+      "mean_token_accuracy": 0.23147685676813126,
+      "num_tokens": 16971322.0,
+      "step": 9315
+    },
+    {
+      "entropy": 5.245448875427246,
+      "epoch": 7.72162386081193,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00011482006986130533,
+      "loss": 4.4294,
+      "mean_token_accuracy": 0.23540343344211578,
+      "num_tokens": 16980066.0,
+      "step": 9320
+    },
+    {
+      "entropy": 5.247683668136597,
+      "epoch": 7.725766362883181,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00011459581677608453,
+      "loss": 4.5173,
+      "mean_token_accuracy": 0.2335611492395401,
+      "num_tokens": 16989202.0,
+      "step": 9325
+    },
+    {
+      "entropy": 5.193714046478272,
+      "epoch": 7.7299088649544325,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00011437188724362997,
+      "loss": 4.5308,
+      "mean_token_accuracy": 0.22125924676656722,
+      "num_tokens": 16999267.0,
+      "step": 9330
+    },
+    {
+      "entropy": 5.173966312408448,
+      "epoch": 7.734051367025684,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00011414828171563214,
+      "loss": 4.4961,
+      "mean_token_accuracy": 0.2306640401482582,
+      "num_tokens": 17008252.0,
+      "step": 9335
+    },
+    {
+      "entropy": 5.222964191436768,
+      "epoch": 7.738193869096935,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00011392500064312773,
+      "loss": 4.4861,
+      "mean_token_accuracy": 0.23044844567775727,
+      "num_tokens": 17017568.0,
+      "step": 9340
+    },
+    {
+      "entropy": 5.249899530410767,
+      "epoch": 7.742336371168186,
+      "grad_norm": 1.578125,
+      "learning_rate": 0.000113702044476499,
+      "loss": 4.4943,
+      "mean_token_accuracy": 0.2308612123131752,
+      "num_tokens": 17026206.0,
+      "step": 9345
+    },
+    {
+      "entropy": 5.2420073509216305,
+      "epoch": 7.746478873239437,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00011347941366547303,
+      "loss": 4.4643,
+      "mean_token_accuracy": 0.23350251317024232,
+      "num_tokens": 17035114.0,
+      "step": 9350
+    },
+    {
+      "entropy": 5.238725233078003,
+      "epoch": 7.750621375310688,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001132571086591204,
+      "loss": 4.5356,
+      "mean_token_accuracy": 0.2302680641412735,
+      "num_tokens": 17044459.0,
+      "step": 9355
+    },
+    {
+      "entropy": 5.248926877975464,
+      "epoch": 7.754763877381938,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001130351299058547,
+      "loss": 4.5629,
+      "mean_token_accuracy": 0.220232954621315,
+      "num_tokens": 17053985.0,
+      "step": 9360
+    },
+    {
+      "entropy": 5.184970664978027,
+      "epoch": 7.758906379453189,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00011281347785343127,
+      "loss": 4.3551,
+      "mean_token_accuracy": 0.24387124329805374,
+      "num_tokens": 17063136.0,
+      "step": 9365
+    },
+    {
+      "entropy": 5.232142210006714,
+      "epoch": 7.7630488815244405,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00011259215294894647,
+      "loss": 4.5255,
+      "mean_token_accuracy": 0.22341912239789963,
+      "num_tokens": 17072423.0,
+      "step": 9370
+    },
+    {
+      "entropy": 5.20652437210083,
+      "epoch": 7.767191383595692,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00011237115563883693,
+      "loss": 4.4755,
+      "mean_token_accuracy": 0.23369871973991393,
+      "num_tokens": 17080578.0,
+      "step": 9375
+    },
+    {
+      "entropy": 5.195418119430542,
+      "epoch": 7.771333885666943,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00011215048636887825,
+      "loss": 4.4118,
+      "mean_token_accuracy": 0.24118203073740005,
+      "num_tokens": 17089995.0,
+      "step": 9380
+    },
+    {
+      "entropy": 5.147100353240967,
+      "epoch": 7.775476387738194,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001119301455841846,
+      "loss": 4.4097,
+      "mean_token_accuracy": 0.2331821948289871,
+      "num_tokens": 17099659.0,
+      "step": 9385
+    },
+    {
+      "entropy": 5.245456647872925,
+      "epoch": 7.779618889809445,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00011171013372920735,
+      "loss": 4.5308,
+      "mean_token_accuracy": 0.2302419975399971,
+      "num_tokens": 17109972.0,
+      "step": 9390
+    },
+    {
+      "entropy": 5.282257461547852,
+      "epoch": 7.783761391880696,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00011149045124773441,
+      "loss": 4.617,
+      "mean_token_accuracy": 0.2195971965789795,
+      "num_tokens": 17120288.0,
+      "step": 9395
+    },
+    {
+      "entropy": 5.251280069351196,
+      "epoch": 7.787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00011127109858288945,
+      "loss": 4.5275,
+      "mean_token_accuracy": 0.23744001388549804,
+      "num_tokens": 17130577.0,
+      "step": 9400
+    },
+    {
+      "entropy": 5.277375173568726,
+      "epoch": 7.792046396023198,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00011105207617713065,
+      "loss": 4.5846,
+      "mean_token_accuracy": 0.22438258528709412,
+      "num_tokens": 17140782.0,
+      "step": 9405
+    },
+    {
+      "entropy": 5.172359895706177,
+      "epoch": 7.796188898094449,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00011083338447225027,
+      "loss": 4.4852,
+      "mean_token_accuracy": 0.22962091118097305,
+      "num_tokens": 17150013.0,
+      "step": 9410
+    },
+    {
+      "entropy": 5.282632112503052,
+      "epoch": 7.8003314001657,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00011061502390937331,
+      "loss": 4.5287,
+      "mean_token_accuracy": 0.22322992384433746,
+      "num_tokens": 17159349.0,
+      "step": 9415
+    },
+    {
+      "entropy": 5.277588748931885,
+      "epoch": 7.804473902236952,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.0001103969949289568,
+      "loss": 4.5575,
+      "mean_token_accuracy": 0.23068788200616835,
+      "num_tokens": 17168063.0,
+      "step": 9420
+    },
+    {
+      "entropy": 5.27054352760315,
+      "epoch": 7.808616404308202,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00011017929797078919,
+      "loss": 4.5128,
+      "mean_token_accuracy": 0.22348960638046264,
+      "num_tokens": 17177087.0,
+      "step": 9425
+    },
+    {
+      "entropy": 5.23571743965149,
+      "epoch": 7.812758906379453,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00010996193347398886,
+      "loss": 4.4804,
+      "mean_token_accuracy": 0.2383258655667305,
+      "num_tokens": 17186875.0,
+      "step": 9430
+    },
+    {
+      "entropy": 5.23639702796936,
+      "epoch": 7.816901408450704,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00010974490187700394,
+      "loss": 4.5367,
+      "mean_token_accuracy": 0.2227595865726471,
+      "num_tokens": 17195666.0,
+      "step": 9435
+    },
+    {
+      "entropy": 5.224313688278198,
+      "epoch": 7.821043910521955,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0001095282036176107,
+      "loss": 4.4819,
+      "mean_token_accuracy": 0.22626830786466598,
+      "num_tokens": 17205145.0,
+      "step": 9440
+    },
+    {
+      "entropy": 5.25811996459961,
+      "epoch": 7.825186412593206,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00010931183913291335,
+      "loss": 4.5312,
+      "mean_token_accuracy": 0.2275287076830864,
+      "num_tokens": 17214106.0,
+      "step": 9445
+    },
+    {
+      "entropy": 5.185547399520874,
+      "epoch": 7.829328914664457,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00010909580885934265,
+      "loss": 4.3977,
+      "mean_token_accuracy": 0.24248179346323012,
+      "num_tokens": 17223343.0,
+      "step": 9450
+    },
+    {
+      "entropy": 5.235095453262329,
+      "epoch": 7.8334714167357085,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00010888011323265517,
+      "loss": 4.5538,
+      "mean_token_accuracy": 0.22286391854286194,
+      "num_tokens": 17233528.0,
+      "step": 9455
+    },
+    {
+      "entropy": 5.166561889648437,
+      "epoch": 7.83761391880696,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00010866475268793275,
+      "loss": 4.417,
+      "mean_token_accuracy": 0.23417006582021713,
+      "num_tokens": 17242026.0,
+      "step": 9460
+    },
+    {
+      "entropy": 5.164305257797241,
+      "epoch": 7.841756420878211,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00010844972765958096,
+      "loss": 4.4521,
+      "mean_token_accuracy": 0.23989777714014054,
+      "num_tokens": 17251203.0,
+      "step": 9465
+    },
+    {
+      "entropy": 5.134662532806397,
+      "epoch": 7.845898922949462,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00010823503858132894,
+      "loss": 4.3833,
+      "mean_token_accuracy": 0.23944269567728044,
+      "num_tokens": 17260072.0,
+      "step": 9470
+    },
+    {
+      "entropy": 5.221753406524658,
+      "epoch": 7.850041425020713,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00010802068588622793,
+      "loss": 4.515,
+      "mean_token_accuracy": 0.23257962763309478,
+      "num_tokens": 17269015.0,
+      "step": 9475
+    },
+    {
+      "entropy": 5.2019994258880615,
+      "epoch": 7.854183927091963,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00010780667000665067,
+      "loss": 4.4506,
+      "mean_token_accuracy": 0.24606569111347198,
+      "num_tokens": 17277721.0,
+      "step": 9480
+    },
+    {
+      "entropy": 5.219488096237183,
+      "epoch": 7.858326429163214,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00010759299137429073,
+      "loss": 4.5167,
+      "mean_token_accuracy": 0.2341366305947304,
+      "num_tokens": 17286805.0,
+      "step": 9485
+    },
+    {
+      "entropy": 5.258726453781128,
+      "epoch": 7.862468931234465,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00010737965042016116,
+      "loss": 4.5958,
+      "mean_token_accuracy": 0.22132833003997804,
+      "num_tokens": 17297577.0,
+      "step": 9490
+    },
+    {
+      "entropy": 5.259564542770386,
+      "epoch": 7.866611433305716,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00010716664757459404,
+      "loss": 4.4898,
+      "mean_token_accuracy": 0.2290081799030304,
+      "num_tokens": 17306620.0,
+      "step": 9495
+    },
+    {
+      "entropy": 5.2478546619415285,
+      "epoch": 7.8707539353769675,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00010695398326723938,
+      "loss": 4.5186,
+      "mean_token_accuracy": 0.22088584303855896,
+      "num_tokens": 17314796.0,
+      "step": 9500
+    },
+    {
+      "epoch": 7.8707539353769675,
+      "eval_entropy": 5.124833188331458,
+      "eval_loss": 5.722036838531494,
+      "eval_mean_token_accuracy": 0.16973218553737282,
+      "eval_num_tokens": 17314796.0,
+      "eval_runtime": 2.7518,
+      "eval_samples_per_second": 1361.662,
+      "eval_steps_per_second": 170.435,
+      "step": 9500
+    },
+    {
+      "entropy": 5.254538726806641,
+      "epoch": 7.874896437448219,
+      "grad_norm": 1.59375,
+      "learning_rate": 0.00010674165792706423,
+      "loss": 4.5362,
+      "mean_token_accuracy": 0.2321956381201744,
+      "num_tokens": 17324048.0,
+      "step": 9505
+    },
+    {
+      "entropy": 5.231704330444336,
+      "epoch": 7.87903893951947,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00010652967198235214,
+      "loss": 4.5016,
+      "mean_token_accuracy": 0.22966693341732025,
+      "num_tokens": 17333354.0,
+      "step": 9510
+    },
+    {
+      "entropy": 5.187391471862793,
+      "epoch": 7.883181441590721,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001063180258607018,
+      "loss": 4.4236,
+      "mean_token_accuracy": 0.24541445523500444,
+      "num_tokens": 17343026.0,
+      "step": 9515
+    },
+    {
+      "entropy": 5.156158971786499,
+      "epoch": 7.887323943661972,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00010610671998902671,
+      "loss": 4.3988,
+      "mean_token_accuracy": 0.2460971713066101,
+      "num_tokens": 17351161.0,
+      "step": 9520
+    },
+    {
+      "entropy": 5.217752170562744,
+      "epoch": 7.891466445733223,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00010589575479355379,
+      "loss": 4.4439,
+      "mean_token_accuracy": 0.23356560468673707,
+      "num_tokens": 17360697.0,
+      "step": 9525
+    },
+    {
+      "entropy": 5.239214277267456,
+      "epoch": 7.895608947804474,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00010568513069982289,
+      "loss": 4.52,
+      "mean_token_accuracy": 0.22984081357717515,
+      "num_tokens": 17370303.0,
+      "step": 9530
+    },
+    {
+      "entropy": 5.209999418258667,
+      "epoch": 7.899751449875725,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00010547484813268594,
+      "loss": 4.4913,
+      "mean_token_accuracy": 0.2257639542222023,
+      "num_tokens": 17379557.0,
+      "step": 9535
+    },
+    {
+      "entropy": 5.242380571365357,
+      "epoch": 7.903893951946976,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00010526490751630568,
+      "loss": 4.5388,
+      "mean_token_accuracy": 0.2311421036720276,
+      "num_tokens": 17388206.0,
+      "step": 9540
+    },
+    {
+      "entropy": 5.27910270690918,
+      "epoch": 7.908036454018227,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00010505530927415544,
+      "loss": 4.5921,
+      "mean_token_accuracy": 0.22979632169008254,
+      "num_tokens": 17398055.0,
+      "step": 9545
+    },
+    {
+      "entropy": 5.15529146194458,
+      "epoch": 7.912178956089478,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00010484605382901772,
+      "loss": 4.3899,
+      "mean_token_accuracy": 0.2327595457434654,
+      "num_tokens": 17407214.0,
+      "step": 9550
+    },
+    {
+      "entropy": 5.2571430683135985,
+      "epoch": 7.916321458160729,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00010463714160298354,
+      "loss": 4.5125,
+      "mean_token_accuracy": 0.23076227605342864,
+      "num_tokens": 17416447.0,
+      "step": 9555
+    },
+    {
+      "entropy": 5.230874300003052,
+      "epoch": 7.92046396023198,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.00010442857301745184,
+      "loss": 4.5231,
+      "mean_token_accuracy": 0.22791534811258315,
+      "num_tokens": 17424921.0,
+      "step": 9560
+    },
+    {
+      "entropy": 5.141931629180908,
+      "epoch": 7.924606462303231,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0001042203484931281,
+      "loss": 4.3655,
+      "mean_token_accuracy": 0.2378263220191002,
+      "num_tokens": 17434425.0,
+      "step": 9565
+    },
+    {
+      "entropy": 5.186363983154297,
+      "epoch": 7.928748964374482,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00010401246845002407,
+      "loss": 4.4757,
+      "mean_token_accuracy": 0.23377338647842408,
+      "num_tokens": 17443879.0,
+      "step": 9570
+    },
+    {
+      "entropy": 5.210091876983642,
+      "epoch": 7.932891466445733,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00010380493330745641,
+      "loss": 4.4587,
+      "mean_token_accuracy": 0.23192314356565474,
+      "num_tokens": 17452276.0,
+      "step": 9575
+    },
+    {
+      "entropy": 5.215310287475586,
+      "epoch": 7.937033968516984,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00010359774348404626,
+      "loss": 4.4939,
+      "mean_token_accuracy": 0.23562314212322236,
+      "num_tokens": 17460706.0,
+      "step": 9580
+    },
+    {
+      "entropy": 5.224613237380981,
+      "epoch": 7.9411764705882355,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.00010339089939771814,
+      "loss": 4.5236,
+      "mean_token_accuracy": 0.23302816599607468,
+      "num_tokens": 17469754.0,
+      "step": 9585
+    },
+    {
+      "entropy": 5.229640674591065,
+      "epoch": 7.945318972659487,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00010318440146569904,
+      "loss": 4.6337,
+      "mean_token_accuracy": 0.21704740524291993,
+      "num_tokens": 17480057.0,
+      "step": 9590
+    },
+    {
+      "entropy": 5.159609174728393,
+      "epoch": 7.949461474730738,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00010297825010451806,
+      "loss": 4.4828,
+      "mean_token_accuracy": 0.2280757188796997,
+      "num_tokens": 17490427.0,
+      "step": 9595
+    },
+    {
+      "entropy": 5.2409614562988285,
+      "epoch": 7.953603976801988,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001027724457300048,
+      "loss": 4.5002,
+      "mean_token_accuracy": 0.22425992041826248,
+      "num_tokens": 17499105.0,
+      "step": 9600
+    },
+    {
+      "entropy": 5.23765196800232,
+      "epoch": 7.957746478873239,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00010256698875728938,
+      "loss": 4.547,
+      "mean_token_accuracy": 0.22590158581733705,
+      "num_tokens": 17508499.0,
+      "step": 9605
+    },
+    {
+      "entropy": 5.163430261611938,
+      "epoch": 7.96188898094449,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00010236187960080084,
+      "loss": 4.4222,
+      "mean_token_accuracy": 0.23525544255971909,
+      "num_tokens": 17516885.0,
+      "step": 9610
+    },
+    {
+      "entropy": 5.1939342498779295,
+      "epoch": 7.966031483015741,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00010215711867426678,
+      "loss": 4.4244,
+      "mean_token_accuracy": 0.23281094878911973,
+      "num_tokens": 17524958.0,
+      "step": 9615
+    },
+    {
+      "entropy": 5.214349365234375,
+      "epoch": 7.970173985086992,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00010195270639071243,
+      "loss": 4.5069,
+      "mean_token_accuracy": 0.2273066148161888,
+      "num_tokens": 17534185.0,
+      "step": 9620
+    },
+    {
+      "entropy": 5.249651336669922,
+      "epoch": 7.9743164871582435,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001017486431624596,
+      "loss": 4.5279,
+      "mean_token_accuracy": 0.23122728317976,
+      "num_tokens": 17542696.0,
+      "step": 9625
+    },
+    {
+      "entropy": 5.185487270355225,
+      "epoch": 7.978458989229495,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00010154492940112624,
+      "loss": 4.4113,
+      "mean_token_accuracy": 0.24716590344905853,
+      "num_tokens": 17552751.0,
+      "step": 9630
+    },
+    {
+      "entropy": 5.29529037475586,
+      "epoch": 7.982601491300746,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00010134156551762519,
+      "loss": 4.5379,
+      "mean_token_accuracy": 0.2170561745762825,
+      "num_tokens": 17561973.0,
+      "step": 9635
+    },
+    {
+      "entropy": 5.267471647262573,
+      "epoch": 7.986743993371997,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00010113855192216359,
+      "loss": 4.5527,
+      "mean_token_accuracy": 0.2246631383895874,
+      "num_tokens": 17571238.0,
+      "step": 9640
+    },
+    {
+      "entropy": 5.232839488983155,
+      "epoch": 7.990886495443248,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00010093588902424217,
+      "loss": 4.4622,
+      "mean_token_accuracy": 0.23793471455574036,
+      "num_tokens": 17580189.0,
+      "step": 9645
+    },
+    {
+      "entropy": 5.242947244644165,
+      "epoch": 7.995028997514499,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00010073357723265398,
+      "loss": 4.5355,
+      "mean_token_accuracy": 0.22305892258882523,
+      "num_tokens": 17590051.0,
+      "step": 9650
+    },
+    {
+      "entropy": 5.258848190307617,
+      "epoch": 7.99917149958575,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00010053161695548418,
+      "loss": 4.5267,
+      "mean_token_accuracy": 0.22477346956729888,
+      "num_tokens": 17599036.0,
+      "step": 9655
+    },
+    {
+      "entropy": 5.2261518955230715,
+      "epoch": 8.003314001657001,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00010033000860010866,
+      "loss": 4.407,
+      "mean_token_accuracy": 0.2392567962408066,
+      "num_tokens": 17608433.0,
+      "step": 9660
+    },
+    {
+      "entropy": 5.227947092056274,
+      "epoch": 8.007456503728251,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001001287525731934,
+      "loss": 4.4214,
+      "mean_token_accuracy": 0.23113029599189758,
+      "num_tokens": 17617696.0,
+      "step": 9665
+    },
+    {
+      "entropy": 5.220786905288696,
+      "epoch": 8.011599005799503,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.992784928069397e-05,
+      "loss": 4.4613,
+      "mean_token_accuracy": 0.23347013741731643,
+      "num_tokens": 17626619.0,
+      "step": 9670
+    },
+    {
+      "entropy": 5.207056665420533,
+      "epoch": 8.015741507870754,
+      "grad_norm": 1.453125,
+      "learning_rate": 9.972729912785411e-05,
+      "loss": 4.3419,
+      "mean_token_accuracy": 0.24283643662929535,
+      "num_tokens": 17635306.0,
+      "step": 9675
+    },
+    {
+      "entropy": 5.166647005081177,
+      "epoch": 8.019884009942006,
+      "grad_norm": 1.5703125,
+      "learning_rate": 9.95271025192055e-05,
+      "loss": 4.3254,
+      "mean_token_accuracy": 0.24794788360595704,
+      "num_tokens": 17643526.0,
+      "step": 9680
+    },
+    {
+      "entropy": 5.258458948135376,
+      "epoch": 8.024026512013256,
+      "grad_norm": 1.484375,
+      "learning_rate": 9.93272598585665e-05,
+      "loss": 4.5109,
+      "mean_token_accuracy": 0.22621739655733109,
+      "num_tokens": 17652474.0,
+      "step": 9685
+    },
+    {
+      "entropy": 5.182386016845703,
+      "epoch": 8.028169014084508,
+      "grad_norm": 1.3828125,
+      "learning_rate": 9.912777154904171e-05,
+      "loss": 4.4387,
+      "mean_token_accuracy": 0.2345404177904129,
+      "num_tokens": 17662025.0,
+      "step": 9690
+    },
+    {
+      "entropy": 5.121964597702027,
+      "epoch": 8.032311516155758,
+      "grad_norm": 1.40625,
+      "learning_rate": 9.89286379930207e-05,
+      "loss": 4.3627,
+      "mean_token_accuracy": 0.24598751664161683,
+      "num_tokens": 17670908.0,
+      "step": 9695
+    },
+    {
+      "entropy": 5.156725072860718,
+      "epoch": 8.036454018227008,
+      "grad_norm": 1.375,
+      "learning_rate": 9.872985959217779e-05,
+      "loss": 4.3483,
+      "mean_token_accuracy": 0.25048859864473344,
+      "num_tokens": 17681242.0,
+      "step": 9700
+    },
+    {
+      "entropy": 5.181863164901733,
+      "epoch": 8.04059652029826,
+      "grad_norm": 1.4921875,
+      "learning_rate": 9.853143674747053e-05,
+      "loss": 4.3156,
+      "mean_token_accuracy": 0.2496207669377327,
+      "num_tokens": 17689816.0,
+      "step": 9705
+    },
+    {
+      "entropy": 5.230922269821167,
+      "epoch": 8.04473902236951,
+      "grad_norm": 1.3984375,
+      "learning_rate": 9.833336985913965e-05,
+      "loss": 4.4079,
+      "mean_token_accuracy": 0.24356723576784134,
+      "num_tokens": 17699251.0,
+      "step": 9710
+    },
+    {
+      "entropy": 5.25123929977417,
+      "epoch": 8.048881524440763,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.813565932670767e-05,
+      "loss": 4.446,
+      "mean_token_accuracy": 0.24057540595531463,
+      "num_tokens": 17708906.0,
+      "step": 9715
+    },
+    {
+      "entropy": 5.302001190185547,
+      "epoch": 8.053024026512013,
+      "grad_norm": 1.4375,
+      "learning_rate": 9.793830554897826e-05,
+      "loss": 4.4337,
+      "mean_token_accuracy": 0.23162751942873,
+      "num_tokens": 17718071.0,
+      "step": 9720
+    },
+    {
+      "entropy": 5.1823859214782715,
+      "epoch": 8.057166528583265,
+      "grad_norm": 1.3515625,
+      "learning_rate": 9.774130892403566e-05,
+      "loss": 4.3382,
+      "mean_token_accuracy": 0.24795254766941072,
+      "num_tokens": 17727690.0,
+      "step": 9725
+    },
+    {
+      "entropy": 5.172320461273193,
+      "epoch": 8.061309030654515,
+      "grad_norm": 1.484375,
+      "learning_rate": 9.754466984924348e-05,
+      "loss": 4.3471,
+      "mean_token_accuracy": 0.2395310789346695,
+      "num_tokens": 17735934.0,
+      "step": 9730
+    },
+    {
+      "entropy": 5.17168607711792,
+      "epoch": 8.065451532725767,
+      "grad_norm": 1.4609375,
+      "learning_rate": 9.734838872124432e-05,
+      "loss": 4.3454,
+      "mean_token_accuracy": 0.24042212218046188,
+      "num_tokens": 17744323.0,
+      "step": 9735
+    },
+    {
+      "entropy": 5.1320466041564945,
+      "epoch": 8.069594034797017,
+      "grad_norm": 1.3515625,
+      "learning_rate": 9.715246593595859e-05,
+      "loss": 4.3431,
+      "mean_token_accuracy": 0.24951379895210266,
+      "num_tokens": 17753335.0,
+      "step": 9740
+    },
+    {
+      "entropy": 5.1748122215271,
+      "epoch": 8.07373653686827,
+      "grad_norm": 1.4609375,
+      "learning_rate": 9.695690188858408e-05,
+      "loss": 4.3963,
+      "mean_token_accuracy": 0.24002762883901596,
+      "num_tokens": 17761952.0,
+      "step": 9745
+    },
+    {
+      "entropy": 5.260321378707886,
+      "epoch": 8.07787903893952,
+      "grad_norm": 1.4765625,
+      "learning_rate": 9.676169697359469e-05,
+      "loss": 4.4649,
+      "mean_token_accuracy": 0.24228229522705078,
+      "num_tokens": 17771341.0,
+      "step": 9750
+    },
+    {
+      "entropy": 5.1761212825775145,
+      "epoch": 8.08202154101077,
+      "grad_norm": 1.328125,
+      "learning_rate": 9.656685158474018e-05,
+      "loss": 4.3596,
+      "mean_token_accuracy": 0.24516458809375763,
+      "num_tokens": 17780289.0,
+      "step": 9755
+    },
+    {
+      "entropy": 5.217165899276734,
+      "epoch": 8.086164043082022,
+      "grad_norm": 1.546875,
+      "learning_rate": 9.63723661150449e-05,
+      "loss": 4.4392,
+      "mean_token_accuracy": 0.23620954900979996,
+      "num_tokens": 17789317.0,
+      "step": 9760
+    },
+    {
+      "entropy": 5.302271842956543,
+      "epoch": 8.090306545153272,
+      "grad_norm": 1.515625,
+      "learning_rate": 9.617824095680742e-05,
+      "loss": 4.4804,
+      "mean_token_accuracy": 0.2370125576853752,
+      "num_tokens": 17797875.0,
+      "step": 9765
+    },
+    {
+      "entropy": 5.219267177581787,
+      "epoch": 8.094449047224524,
+      "grad_norm": 1.3203125,
+      "learning_rate": 9.598447650159931e-05,
+      "loss": 4.4245,
+      "mean_token_accuracy": 0.24013179689645767,
+      "num_tokens": 17806603.0,
+      "step": 9770
+    },
+    {
+      "entropy": 5.327665138244629,
+      "epoch": 8.098591549295774,
+      "grad_norm": 1.46875,
+      "learning_rate": 9.579107314026459e-05,
+      "loss": 4.5079,
+      "mean_token_accuracy": 0.22462410479784012,
+      "num_tokens": 17815747.0,
+      "step": 9775
+    },
+    {
+      "entropy": 5.211456394195556,
+      "epoch": 8.102734051367026,
+      "grad_norm": 1.359375,
+      "learning_rate": 9.559803126291911e-05,
+      "loss": 4.3642,
+      "mean_token_accuracy": 0.23971107304096223,
+      "num_tokens": 17824568.0,
+      "step": 9780
+    },
+    {
+      "entropy": 5.275164175033569,
+      "epoch": 8.106876553438276,
+      "grad_norm": 1.390625,
+      "learning_rate": 9.540535125894931e-05,
+      "loss": 4.4685,
+      "mean_token_accuracy": 0.24380181431770326,
+      "num_tokens": 17834244.0,
+      "step": 9785
+    },
+    {
+      "entropy": 5.198601388931275,
+      "epoch": 8.111019055509528,
+      "grad_norm": 1.46875,
+      "learning_rate": 9.521303351701193e-05,
+      "loss": 4.3476,
+      "mean_token_accuracy": 0.24773648232221604,
+      "num_tokens": 17843285.0,
+      "step": 9790
+    },
+    {
+      "entropy": 5.232069730758667,
+      "epoch": 8.115161557580779,
+      "grad_norm": 1.390625,
+      "learning_rate": 9.502107842503282e-05,
+      "loss": 4.4455,
+      "mean_token_accuracy": 0.24342902153730392,
+      "num_tokens": 17852379.0,
+      "step": 9795
+    },
+    {
+      "entropy": 5.213220930099487,
+      "epoch": 8.11930405965203,
+      "grad_norm": 1.4375,
+      "learning_rate": 9.48294863702063e-05,
+      "loss": 4.3962,
+      "mean_token_accuracy": 0.24655861258506775,
+      "num_tokens": 17861948.0,
+      "step": 9800
+    },
+    {
+      "entropy": 5.206108331680298,
+      "epoch": 8.12344656172328,
+      "grad_norm": 1.40625,
+      "learning_rate": 9.463825773899465e-05,
+      "loss": 4.3549,
+      "mean_token_accuracy": 0.24822819530963897,
+      "num_tokens": 17870445.0,
+      "step": 9805
+    },
+    {
+      "entropy": 5.2526586055755615,
+      "epoch": 8.127589063794533,
+      "grad_norm": 1.3984375,
+      "learning_rate": 9.444739291712673e-05,
+      "loss": 4.4184,
+      "mean_token_accuracy": 0.2502383813261986,
+      "num_tokens": 17879380.0,
+      "step": 9810
+    },
+    {
+      "entropy": 5.200527477264404,
+      "epoch": 8.131731565865783,
+      "grad_norm": 1.3671875,
+      "learning_rate": 9.425689228959791e-05,
+      "loss": 4.4375,
+      "mean_token_accuracy": 0.23672084957361222,
+      "num_tokens": 17888631.0,
+      "step": 9815
+    },
+    {
+      "entropy": 5.180902576446533,
+      "epoch": 8.135874067937033,
+      "grad_norm": 1.390625,
+      "learning_rate": 9.406675624066868e-05,
+      "loss": 4.3782,
+      "mean_token_accuracy": 0.2451987087726593,
+      "num_tokens": 17898541.0,
+      "step": 9820
+    },
+    {
+      "entropy": 5.233185815811157,
+      "epoch": 8.140016570008285,
+      "grad_norm": 1.5078125,
+      "learning_rate": 9.38769851538642e-05,
+      "loss": 4.3855,
+      "mean_token_accuracy": 0.24561118185520173,
+      "num_tokens": 17906664.0,
+      "step": 9825
+    },
+    {
+      "entropy": 5.207144069671631,
+      "epoch": 8.144159072079535,
+      "grad_norm": 1.4609375,
+      "learning_rate": 9.368757941197356e-05,
+      "loss": 4.3938,
+      "mean_token_accuracy": 0.24579526335000992,
+      "num_tokens": 17916201.0,
+      "step": 9830
+    },
+    {
+      "entropy": 5.240351390838623,
+      "epoch": 8.148301574150787,
+      "grad_norm": 1.2734375,
+      "learning_rate": 9.34985393970488e-05,
+      "loss": 4.4433,
+      "mean_token_accuracy": 0.23590292483568193,
+      "num_tokens": 17925700.0,
+      "step": 9835
+    },
+    {
+      "entropy": 5.180185317993164,
+      "epoch": 8.152444076222038,
+      "grad_norm": 1.421875,
+      "learning_rate": 9.330986549040432e-05,
+      "loss": 4.3908,
+      "mean_token_accuracy": 0.24027481973171233,
+      "num_tokens": 17934293.0,
+      "step": 9840
+    },
+    {
+      "entropy": 5.178470325469971,
+      "epoch": 8.15658657829329,
+      "grad_norm": 1.34375,
+      "learning_rate": 9.312155807261602e-05,
+      "loss": 4.4131,
+      "mean_token_accuracy": 0.2327113226056099,
+      "num_tokens": 17943541.0,
+      "step": 9845
+    },
+    {
+      "entropy": 5.2424520492553714,
+      "epoch": 8.16072908036454,
+      "grad_norm": 1.2890625,
+      "learning_rate": 9.293361752352045e-05,
+      "loss": 4.4064,
+      "mean_token_accuracy": 0.24514926224946976,
+      "num_tokens": 17952616.0,
+      "step": 9850
+    },
+    {
+      "entropy": 5.255953550338745,
+      "epoch": 8.164871582435792,
+      "grad_norm": 1.328125,
+      "learning_rate": 9.274604422221433e-05,
+      "loss": 4.3449,
+      "mean_token_accuracy": 0.2437419757246971,
+      "num_tokens": 17961414.0,
+      "step": 9855
+    },
+    {
+      "entropy": 5.2429039001464846,
+      "epoch": 8.169014084507042,
+      "grad_norm": 1.421875,
+      "learning_rate": 9.255883854705344e-05,
+      "loss": 4.4505,
+      "mean_token_accuracy": 0.23757243603467942,
+      "num_tokens": 17972077.0,
+      "step": 9860
+    },
+    {
+      "entropy": 5.207650089263916,
+      "epoch": 8.173156586578294,
+      "grad_norm": 1.4375,
+      "learning_rate": 9.237200087565217e-05,
+      "loss": 4.3777,
+      "mean_token_accuracy": 0.2455221474170685,
+      "num_tokens": 17980303.0,
+      "step": 9865
+    },
+    {
+      "entropy": 5.269549179077148,
+      "epoch": 8.177299088649544,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.218553158488238e-05,
+      "loss": 4.4719,
+      "mean_token_accuracy": 0.23264755457639694,
+      "num_tokens": 17990410.0,
+      "step": 9870
+    },
+    {
+      "entropy": 5.2003992080688475,
+      "epoch": 8.181441590720794,
+      "grad_norm": 1.390625,
+      "learning_rate": 9.199943105087319e-05,
+      "loss": 4.351,
+      "mean_token_accuracy": 0.24489290416240692,
+      "num_tokens": 17998931.0,
+      "step": 9875
+    },
+    {
+      "entropy": 5.211326789855957,
+      "epoch": 8.185584092792046,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.181369964900957e-05,
+      "loss": 4.4133,
+      "mean_token_accuracy": 0.24307847917079925,
+      "num_tokens": 18007853.0,
+      "step": 9880
+    },
+    {
+      "entropy": 5.2086700916290285,
+      "epoch": 8.189726594863297,
+      "grad_norm": 1.421875,
+      "learning_rate": 9.162833775393209e-05,
+      "loss": 4.3599,
+      "mean_token_accuracy": 0.2421637535095215,
+      "num_tokens": 18016517.0,
+      "step": 9885
+    },
+    {
+      "entropy": 5.26172833442688,
+      "epoch": 8.193869096934549,
+      "grad_norm": 1.4609375,
+      "learning_rate": 9.1443345739536e-05,
+      "loss": 4.4611,
+      "mean_token_accuracy": 0.2355372652411461,
+      "num_tokens": 18025057.0,
+      "step": 9890
+    },
+    {
+      "entropy": 5.222227954864502,
+      "epoch": 8.198011599005799,
+      "grad_norm": 1.4375,
+      "learning_rate": 9.12587239789703e-05,
+      "loss": 4.4596,
+      "mean_token_accuracy": 0.23549663424491882,
+      "num_tokens": 18034371.0,
+      "step": 9895
+    },
+    {
+      "entropy": 5.189918756484985,
+      "epoch": 8.202154101077051,
+      "grad_norm": 1.4453125,
+      "learning_rate": 9.10744728446374e-05,
+      "loss": 4.4308,
+      "mean_token_accuracy": 0.23917066752910615,
+      "num_tokens": 18043354.0,
+      "step": 9900
+    },
+    {
+      "entropy": 5.180388689041138,
+      "epoch": 8.206296603148301,
+      "grad_norm": 1.484375,
+      "learning_rate": 9.089059270819187e-05,
+      "loss": 4.3861,
+      "mean_token_accuracy": 0.2423325479030609,
+      "num_tokens": 18051879.0,
+      "step": 9905
+    },
+    {
+      "entropy": 5.280764532089234,
+      "epoch": 8.210439105219553,
+      "grad_norm": 1.359375,
+      "learning_rate": 9.070708394054005e-05,
+      "loss": 4.4389,
+      "mean_token_accuracy": 0.23874785751104355,
+      "num_tokens": 18062011.0,
+      "step": 9910
+    },
+    {
+      "entropy": 5.26232795715332,
+      "epoch": 8.214581607290803,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.052394691183921e-05,
+      "loss": 4.5075,
+      "mean_token_accuracy": 0.2256281480193138,
+      "num_tokens": 18071692.0,
+      "step": 9915
+    },
+    {
+      "entropy": 5.1943741798400875,
+      "epoch": 8.218724109362055,
+      "grad_norm": 1.3359375,
+      "learning_rate": 9.03411819914967e-05,
+      "loss": 4.3481,
+      "mean_token_accuracy": 0.24199035614728928,
+      "num_tokens": 18080646.0,
+      "step": 9920
+    },
+    {
+      "entropy": 5.1856715202331545,
+      "epoch": 8.222866611433306,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.015878954816941e-05,
+      "loss": 4.3647,
+      "mean_token_accuracy": 0.24757557958364487,
+      "num_tokens": 18088788.0,
+      "step": 9925
+    },
+    {
+      "entropy": 5.228688716888428,
+      "epoch": 8.227009113504558,
+      "grad_norm": 1.453125,
+      "learning_rate": 8.997676994976281e-05,
+      "loss": 4.4286,
+      "mean_token_accuracy": 0.23555690944194793,
+      "num_tokens": 18098319.0,
+      "step": 9930
+    },
+    {
+      "entropy": 5.214864444732666,
+      "epoch": 8.231151615575808,
+      "grad_norm": 1.34375,
+      "learning_rate": 8.979512356343023e-05,
+      "loss": 4.4766,
+      "mean_token_accuracy": 0.23683355748653412,
+      "num_tokens": 18107740.0,
+      "step": 9935
+    },
+    {
+      "entropy": 5.220425271987915,
+      "epoch": 8.235294117647058,
+      "grad_norm": 1.4453125,
+      "learning_rate": 8.961385075557243e-05,
+      "loss": 4.4552,
+      "mean_token_accuracy": 0.2304172098636627,
+      "num_tokens": 18117762.0,
+      "step": 9940
+    },
+    {
+      "entropy": 5.15520453453064,
+      "epoch": 8.23943661971831,
+      "grad_norm": 1.5,
+      "learning_rate": 8.943295189183632e-05,
+      "loss": 4.3286,
+      "mean_token_accuracy": 0.24465882033109665,
+      "num_tokens": 18126212.0,
+      "step": 9945
+    },
+    {
+      "entropy": 5.267645978927613,
+      "epoch": 8.24357912178956,
+      "grad_norm": 1.53125,
+      "learning_rate": 8.925242733711484e-05,
+      "loss": 4.4863,
+      "mean_token_accuracy": 0.23138361871242524,
+      "num_tokens": 18135622.0,
+      "step": 9950
+    },
+    {
+      "entropy": 5.260131311416626,
+      "epoch": 8.247721623860812,
+      "grad_norm": 1.5078125,
+      "learning_rate": 8.90722774555456e-05,
+      "loss": 4.4379,
+      "mean_token_accuracy": 0.23949550539255143,
+      "num_tokens": 18144768.0,
+      "step": 9955
+    },
+    {
+      "entropy": 5.2012913703918455,
+      "epoch": 8.251864125932062,
+      "grad_norm": 1.4296875,
+      "learning_rate": 8.889250261051063e-05,
+      "loss": 4.4585,
+      "mean_token_accuracy": 0.24050324261188508,
+      "num_tokens": 18155107.0,
+      "step": 9960
+    },
+    {
+      "entropy": 5.184732866287232,
+      "epoch": 8.256006628003314,
+      "grad_norm": 1.328125,
+      "learning_rate": 8.871310316463554e-05,
+      "loss": 4.414,
+      "mean_token_accuracy": 0.2437386229634285,
+      "num_tokens": 18164064.0,
+      "step": 9965
+    },
+    {
+      "entropy": 5.180590391159058,
+      "epoch": 8.260149130074565,
+      "grad_norm": 1.5234375,
+      "learning_rate": 8.853407947978845e-05,
+      "loss": 4.4594,
+      "mean_token_accuracy": 0.22373423725366592,
+      "num_tokens": 18172714.0,
+      "step": 9970
+    },
+    {
+      "entropy": 5.212049150466919,
+      "epoch": 8.264291632145817,
+      "grad_norm": 1.2890625,
+      "learning_rate": 8.835543191707982e-05,
+      "loss": 4.4596,
+      "mean_token_accuracy": 0.23423371762037276,
+      "num_tokens": 18182158.0,
+      "step": 9975
+    },
+    {
+      "entropy": 5.2256406307220455,
+      "epoch": 8.268434134217067,
+      "grad_norm": 1.5390625,
+      "learning_rate": 8.81771608368613e-05,
+      "loss": 4.4242,
+      "mean_token_accuracy": 0.23679217398166658,
+      "num_tokens": 18190605.0,
+      "step": 9980
+    },
+    {
+      "entropy": 5.228875350952149,
+      "epoch": 8.272576636288319,
+      "grad_norm": 1.484375,
+      "learning_rate": 8.799926659872507e-05,
+      "loss": 4.603,
+      "mean_token_accuracy": 0.2188064604997635,
+      "num_tokens": 18199992.0,
+      "step": 9985
+    },
+    {
+      "entropy": 5.269665288925171,
+      "epoch": 8.276719138359569,
+      "grad_norm": 1.453125,
+      "learning_rate": 8.782174956150335e-05,
+      "loss": 4.443,
+      "mean_token_accuracy": 0.2395315259695053,
+      "num_tokens": 18208641.0,
+      "step": 9990
+    },
+    {
+      "entropy": 5.248885774612427,
+      "epoch": 8.280861640430821,
+      "grad_norm": 1.359375,
+      "learning_rate": 8.764461008326723e-05,
+      "loss": 4.4454,
+      "mean_token_accuracy": 0.23489948213100434,
+      "num_tokens": 18218355.0,
+      "step": 9995
+    },
+    {
+      "entropy": 5.2219267845153805,
+      "epoch": 8.285004142502071,
+      "grad_norm": 1.4296875,
+      "learning_rate": 8.746784852132661e-05,
+      "loss": 4.4601,
+      "mean_token_accuracy": 0.23617841601371764,
+      "num_tokens": 18227217.0,
+      "step": 10000
+    },
+    {
+      "epoch": 8.285004142502071,
+      "eval_entropy": 5.130554149399942,
+      "eval_loss": 5.7228922843933105,
+      "eval_mean_token_accuracy": 0.16913784141225346,
+      "eval_num_tokens": 18227217.0,
+      "eval_runtime": 2.7555,
+      "eval_samples_per_second": 1359.835,
+      "eval_steps_per_second": 170.206,
+      "step": 10000
+    },
+    {
+      "entropy": 5.189085817337036,
+      "epoch": 8.289146644573322,
+      "grad_norm": 1.3671875,
+      "learning_rate": 8.729146523222877e-05,
+      "loss": 4.3974,
+      "mean_token_accuracy": 0.2361637681722641,
+      "num_tokens": 18236410.0,
+      "step": 10005
+    },
+    {
+      "entropy": 5.244648122787476,
+      "epoch": 8.293289146644574,
+      "grad_norm": 1.5703125,
+      "learning_rate": 8.711546057175804e-05,
+      "loss": 4.4474,
+      "mean_token_accuracy": 0.23846692740917205,
+      "num_tokens": 18244626.0,
+      "step": 10010
+    },
+    {
+      "entropy": 5.270169019699097,
+      "epoch": 8.297431648715824,
+      "grad_norm": 1.359375,
+      "learning_rate": 8.69398348949351e-05,
+      "loss": 4.4535,
+      "mean_token_accuracy": 0.23619772642850875,
+      "num_tokens": 18253938.0,
+      "step": 10015
+    },
+    {
+      "entropy": 5.18985161781311,
+      "epoch": 8.301574150787076,
+      "grad_norm": 1.5234375,
+      "learning_rate": 8.676458855601612e-05,
+      "loss": 4.4505,
+      "mean_token_accuracy": 0.23596869856119157,
+      "num_tokens": 18262674.0,
+      "step": 10020
+    },
+    {
+      "entropy": 5.250480699539184,
+      "epoch": 8.305716652858326,
+      "grad_norm": 1.3515625,
+      "learning_rate": 8.658972190849215e-05,
+      "loss": 4.4817,
+      "mean_token_accuracy": 0.23379983603954316,
+      "num_tokens": 18272558.0,
+      "step": 10025
+    },
+    {
+      "entropy": 5.291120862960815,
+      "epoch": 8.309859154929578,
+      "grad_norm": 1.53125,
+      "learning_rate": 8.641523530508827e-05,
+      "loss": 4.4931,
+      "mean_token_accuracy": 0.23938387334346772,
+      "num_tokens": 18282522.0,
+      "step": 10030
+    },
+    {
+      "entropy": 5.273213243484497,
+      "epoch": 8.314001657000828,
+      "grad_norm": 1.390625,
+      "learning_rate": 8.624112909776314e-05,
+      "loss": 4.4294,
+      "mean_token_accuracy": 0.23269279450178146,
+      "num_tokens": 18290933.0,
+      "step": 10035
+    },
+    {
+      "entropy": 5.212837028503418,
+      "epoch": 8.31814415907208,
+      "grad_norm": 1.421875,
+      "learning_rate": 8.606740363770788e-05,
+      "loss": 4.4088,
+      "mean_token_accuracy": 0.23555412590503694,
+      "num_tokens": 18300705.0,
+      "step": 10040
+    },
+    {
+      "entropy": 5.238656616210937,
+      "epoch": 8.32228666114333,
+      "grad_norm": 1.4375,
+      "learning_rate": 8.589405927534571e-05,
+      "loss": 4.4081,
+      "mean_token_accuracy": 0.244551882147789,
+      "num_tokens": 18309889.0,
+      "step": 10045
+    },
+    {
+      "entropy": 5.242896318435669,
+      "epoch": 8.326429163214582,
+      "grad_norm": 1.4609375,
+      "learning_rate": 8.57210963603313e-05,
+      "loss": 4.4503,
+      "mean_token_accuracy": 0.23040195405483246,
+      "num_tokens": 18319282.0,
+      "step": 10050
+    },
+    {
+      "entropy": 5.290544414520264,
+      "epoch": 8.330571665285833,
+      "grad_norm": 1.46875,
+      "learning_rate": 8.554851524154961e-05,
+      "loss": 4.4914,
+      "mean_token_accuracy": 0.23957772552967072,
+      "num_tokens": 18328713.0,
+      "step": 10055
+    },
+    {
+      "entropy": 5.18739800453186,
+      "epoch": 8.334714167357085,
+      "grad_norm": 1.5546875,
+      "learning_rate": 8.537631626711573e-05,
+      "loss": 4.3541,
+      "mean_token_accuracy": 0.24801484048366546,
+      "num_tokens": 18337262.0,
+      "step": 10060
+    },
+    {
+      "entropy": 5.273202228546142,
+      "epoch": 8.338856669428335,
+      "grad_norm": 1.296875,
+      "learning_rate": 8.520449978437372e-05,
+      "loss": 4.4515,
+      "mean_token_accuracy": 0.24038465470075607,
+      "num_tokens": 18346699.0,
+      "step": 10065
+    },
+    {
+      "entropy": 5.202633285522461,
+      "epoch": 8.342999171499585,
+      "grad_norm": 1.4140625,
+      "learning_rate": 8.50330661398962e-05,
+      "loss": 4.3765,
+      "mean_token_accuracy": 0.23907299488782882,
+      "num_tokens": 18355466.0,
+      "step": 10070
+    },
+    {
+      "entropy": 5.197913932800293,
+      "epoch": 8.347141673570837,
+      "grad_norm": 1.4921875,
+      "learning_rate": 8.486201567948363e-05,
+      "loss": 4.3871,
+      "mean_token_accuracy": 0.23954783082008363,
+      "num_tokens": 18363988.0,
+      "step": 10075
+    },
+    {
+      "entropy": 5.277276611328125,
+      "epoch": 8.351284175642087,
+      "grad_norm": 1.2734375,
+      "learning_rate": 8.469134874816342e-05,
+      "loss": 4.5177,
+      "mean_token_accuracy": 0.23427421301603318,
+      "num_tokens": 18373784.0,
+      "step": 10080
+    },
+    {
+      "entropy": 5.225943231582642,
+      "epoch": 8.35542667771334,
+      "grad_norm": 1.4296875,
+      "learning_rate": 8.45210656901895e-05,
+      "loss": 4.3798,
+      "mean_token_accuracy": 0.24082893282175064,
+      "num_tokens": 18382929.0,
+      "step": 10085
+    },
+    {
+      "entropy": 5.265467834472656,
+      "epoch": 8.35956917978459,
+      "grad_norm": 1.484375,
+      "learning_rate": 8.435116684904136e-05,
+      "loss": 4.4526,
+      "mean_token_accuracy": 0.23882831037044525,
+      "num_tokens": 18392399.0,
+      "step": 10090
+    },
+    {
+      "entropy": 5.2780547618865965,
+      "epoch": 8.363711681855841,
+      "grad_norm": 1.3359375,
+      "learning_rate": 8.418165256742346e-05,
+      "loss": 4.542,
+      "mean_token_accuracy": 0.22470442056655884,
+      "num_tokens": 18402255.0,
+      "step": 10095
+    },
+    {
+      "entropy": 5.233971357345581,
+      "epoch": 8.367854183927092,
+      "grad_norm": 1.296875,
+      "learning_rate": 8.401252318726473e-05,
+      "loss": 4.4252,
+      "mean_token_accuracy": 0.24408935755491257,
+      "num_tokens": 18411677.0,
+      "step": 10100
+    },
+    {
+      "entropy": 5.181299114227295,
+      "epoch": 8.371996685998344,
+      "grad_norm": 1.5390625,
+      "learning_rate": 8.384377904971753e-05,
+      "loss": 4.4185,
+      "mean_token_accuracy": 0.23354480415582657,
+      "num_tokens": 18420332.0,
+      "step": 10105
+    },
+    {
+      "entropy": 5.126711988449097,
+      "epoch": 8.376139188069594,
+      "grad_norm": 1.46875,
+      "learning_rate": 8.367542049515733e-05,
+      "loss": 4.3243,
+      "mean_token_accuracy": 0.2377860352396965,
+      "num_tokens": 18429542.0,
+      "step": 10110
+    },
+    {
+      "entropy": 5.238503551483154,
+      "epoch": 8.380281690140846,
+      "grad_norm": 1.4375,
+      "learning_rate": 8.350744786318168e-05,
+      "loss": 4.4209,
+      "mean_token_accuracy": 0.24683155715465546,
+      "num_tokens": 18439064.0,
+      "step": 10115
+    },
+    {
+      "entropy": 5.191628503799438,
+      "epoch": 8.384424192212096,
+      "grad_norm": 1.3984375,
+      "learning_rate": 8.33398614926097e-05,
+      "loss": 4.4405,
+      "mean_token_accuracy": 0.23440641164779663,
+      "num_tokens": 18449001.0,
+      "step": 10120
+    },
+    {
+      "entropy": 5.227044200897216,
+      "epoch": 8.388566694283346,
+      "grad_norm": 1.2890625,
+      "learning_rate": 8.317266172148145e-05,
+      "loss": 4.4,
+      "mean_token_accuracy": 0.24424718767404557,
+      "num_tokens": 18458105.0,
+      "step": 10125
+    },
+    {
+      "entropy": 5.222586965560913,
+      "epoch": 8.392709196354598,
+      "grad_norm": 1.5078125,
+      "learning_rate": 8.300584888705709e-05,
+      "loss": 4.4574,
+      "mean_token_accuracy": 0.23139263391494752,
+      "num_tokens": 18466975.0,
+      "step": 10130
+    },
+    {
+      "entropy": 5.1690774917602536,
+      "epoch": 8.396851698425849,
+      "grad_norm": 1.34375,
+      "learning_rate": 8.283942332581644e-05,
+      "loss": 4.3477,
+      "mean_token_accuracy": 0.25254258811473845,
+      "num_tokens": 18475543.0,
+      "step": 10135
+    },
+    {
+      "entropy": 5.1052000522613525,
+      "epoch": 8.4009942004971,
+      "grad_norm": 1.3515625,
+      "learning_rate": 8.267338537345792e-05,
+      "loss": 4.3078,
+      "mean_token_accuracy": 0.2526886507868767,
+      "num_tokens": 18484399.0,
+      "step": 10140
+    },
+    {
+      "entropy": 5.153526496887207,
+      "epoch": 8.40513670256835,
+      "grad_norm": 1.53125,
+      "learning_rate": 8.250773536489833e-05,
+      "loss": 4.4435,
+      "mean_token_accuracy": 0.22786851227283478,
+      "num_tokens": 18493168.0,
+      "step": 10145
+    },
+    {
+      "entropy": 5.12832818031311,
+      "epoch": 8.409279204639603,
+      "grad_norm": 1.328125,
+      "learning_rate": 8.234247363427174e-05,
+      "loss": 4.4062,
+      "mean_token_accuracy": 0.23227766901254654,
+      "num_tokens": 18502624.0,
+      "step": 10150
+    },
+    {
+      "entropy": 5.1949280261993405,
+      "epoch": 8.413421706710853,
+      "grad_norm": 1.4296875,
+      "learning_rate": 8.217760051492926e-05,
+      "loss": 4.3773,
+      "mean_token_accuracy": 0.24500519186258315,
+      "num_tokens": 18510990.0,
+      "step": 10155
+    },
+    {
+      "entropy": 5.185572957992553,
+      "epoch": 8.417564208782105,
+      "grad_norm": 1.421875,
+      "learning_rate": 8.201311633943788e-05,
+      "loss": 4.3771,
+      "mean_token_accuracy": 0.23713377714157105,
+      "num_tokens": 18519490.0,
+      "step": 10160
+    },
+    {
+      "entropy": 5.2189507484436035,
+      "epoch": 8.421706710853355,
+      "grad_norm": 1.375,
+      "learning_rate": 8.184902143958013e-05,
+      "loss": 4.423,
+      "mean_token_accuracy": 0.2332186371088028,
+      "num_tokens": 18528827.0,
+      "step": 10165
+    },
+    {
+      "entropy": 5.175855875015259,
+      "epoch": 8.425849212924607,
+      "grad_norm": 1.53125,
+      "learning_rate": 8.168531614635347e-05,
+      "loss": 4.4199,
+      "mean_token_accuracy": 0.23608411699533463,
+      "num_tokens": 18537592.0,
+      "step": 10170
+    },
+    {
+      "entropy": 5.2588996410369875,
+      "epoch": 8.429991714995857,
+      "grad_norm": 1.453125,
+      "learning_rate": 8.152200078996924e-05,
+      "loss": 4.5155,
+      "mean_token_accuracy": 0.23638325929641724,
+      "num_tokens": 18547253.0,
+      "step": 10175
+    },
+    {
+      "entropy": 5.2214000701904295,
+      "epoch": 8.434134217067108,
+      "grad_norm": 1.4609375,
+      "learning_rate": 8.135907569985248e-05,
+      "loss": 4.4527,
+      "mean_token_accuracy": 0.23231977820396424,
+      "num_tokens": 18556658.0,
+      "step": 10180
+    },
+    {
+      "entropy": 5.200859260559082,
+      "epoch": 8.43827671913836,
+      "grad_norm": 1.3359375,
+      "learning_rate": 8.119654120464077e-05,
+      "loss": 4.3935,
+      "mean_token_accuracy": 0.2399752229452133,
+      "num_tokens": 18565594.0,
+      "step": 10185
+    },
+    {
+      "entropy": 5.211322498321533,
+      "epoch": 8.44241922120961,
+      "grad_norm": 1.53125,
+      "learning_rate": 8.103439763218411e-05,
+      "loss": 4.4234,
+      "mean_token_accuracy": 0.2339351773262024,
+      "num_tokens": 18574033.0,
+      "step": 10190
+    },
+    {
+      "entropy": 5.202614641189575,
+      "epoch": 8.446561723280862,
+      "grad_norm": 1.453125,
+      "learning_rate": 8.087264530954362e-05,
+      "loss": 4.4269,
+      "mean_token_accuracy": 0.233833409845829,
+      "num_tokens": 18583064.0,
+      "step": 10195
+    },
+    {
+      "entropy": 5.293605899810791,
+      "epoch": 8.450704225352112,
+      "grad_norm": 1.3828125,
+      "learning_rate": 8.071128456299159e-05,
+      "loss": 4.5161,
+      "mean_token_accuracy": 0.2285238817334175,
+      "num_tokens": 18591910.0,
+      "step": 10200
+    },
+    {
+      "entropy": 5.248147439956665,
+      "epoch": 8.454846727423364,
+      "grad_norm": 1.5078125,
+      "learning_rate": 8.055031571801013e-05,
+      "loss": 4.42,
+      "mean_token_accuracy": 0.24132785946130753,
+      "num_tokens": 18600880.0,
+      "step": 10205
+    },
+    {
+      "entropy": 5.328955936431885,
+      "epoch": 8.458989229494614,
+      "grad_norm": 1.5703125,
+      "learning_rate": 8.038973909929112e-05,
+      "loss": 4.6032,
+      "mean_token_accuracy": 0.22523417323827744,
+      "num_tokens": 18610407.0,
+      "step": 10210
+    },
+    {
+      "entropy": 5.234103345870972,
+      "epoch": 8.463131731565866,
+      "grad_norm": 1.4921875,
+      "learning_rate": 8.022955503073502e-05,
+      "loss": 4.468,
+      "mean_token_accuracy": 0.23666063845157623,
+      "num_tokens": 18620166.0,
+      "step": 10215
+    },
+    {
+      "entropy": 5.195783424377441,
+      "epoch": 8.467274233637117,
+      "grad_norm": 1.5,
+      "learning_rate": 8.006976383545071e-05,
+      "loss": 4.3991,
+      "mean_token_accuracy": 0.23298656940460205,
+      "num_tokens": 18628851.0,
+      "step": 10220
+    },
+    {
+      "entropy": 5.20527925491333,
+      "epoch": 8.471416735708369,
+      "grad_norm": 1.4609375,
+      "learning_rate": 7.991036583575448e-05,
+      "loss": 4.4305,
+      "mean_token_accuracy": 0.24241199791431428,
+      "num_tokens": 18637921.0,
+      "step": 10225
+    },
+    {
+      "entropy": 5.195417594909668,
+      "epoch": 8.475559237779619,
+      "grad_norm": 1.34375,
+      "learning_rate": 7.975136135316941e-05,
+      "loss": 4.3642,
+      "mean_token_accuracy": 0.24671109169721603,
+      "num_tokens": 18647291.0,
+      "step": 10230
+    },
+    {
+      "entropy": 5.1769211769104,
+      "epoch": 8.47970173985087,
+      "grad_norm": 1.453125,
+      "learning_rate": 7.959275070842502e-05,
+      "loss": 4.3915,
+      "mean_token_accuracy": 0.23937203139066696,
+      "num_tokens": 18656252.0,
+      "step": 10235
+    },
+    {
+      "entropy": 5.176210403442383,
+      "epoch": 8.483844241922121,
+      "grad_norm": 1.3125,
+      "learning_rate": 7.943453422145626e-05,
+      "loss": 4.417,
+      "mean_token_accuracy": 0.24022968858480453,
+      "num_tokens": 18666199.0,
+      "step": 10240
+    },
+    {
+      "entropy": 5.217723751068116,
+      "epoch": 8.487986743993371,
+      "grad_norm": 1.46875,
+      "learning_rate": 7.927671221140317e-05,
+      "loss": 4.4517,
+      "mean_token_accuracy": 0.23993866443634032,
+      "num_tokens": 18675573.0,
+      "step": 10245
+    },
+    {
+      "entropy": 5.252127313613892,
+      "epoch": 8.492129246064623,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.911928499660986e-05,
+      "loss": 4.4263,
+      "mean_token_accuracy": 0.237184576690197,
+      "num_tokens": 18684627.0,
+      "step": 10250
+    },
+    {
+      "entropy": 5.2742616653442385,
+      "epoch": 8.496271748135873,
+      "grad_norm": 1.296875,
+      "learning_rate": 7.896225289462426e-05,
+      "loss": 4.4702,
+      "mean_token_accuracy": 0.22651803195476533,
+      "num_tokens": 18694287.0,
+      "step": 10255
+    },
+    {
+      "entropy": 5.209424877166748,
+      "epoch": 8.500414250207125,
+      "grad_norm": 1.5546875,
+      "learning_rate": 7.880561622219735e-05,
+      "loss": 4.4389,
+      "mean_token_accuracy": 0.23508745133876802,
+      "num_tokens": 18704014.0,
+      "step": 10260
+    },
+    {
+      "entropy": 5.209544658660889,
+      "epoch": 8.504556752278376,
+      "grad_norm": 1.453125,
+      "learning_rate": 7.864937529528232e-05,
+      "loss": 4.4197,
+      "mean_token_accuracy": 0.24119794815778733,
+      "num_tokens": 18713030.0,
+      "step": 10265
+    },
+    {
+      "entropy": 5.262354707717895,
+      "epoch": 8.508699254349628,
+      "grad_norm": 1.5078125,
+      "learning_rate": 7.849353042903428e-05,
+      "loss": 4.4526,
+      "mean_token_accuracy": 0.24413182735443115,
+      "num_tokens": 18721911.0,
+      "step": 10270
+    },
+    {
+      "entropy": 5.194427108764648,
+      "epoch": 8.512841756420878,
+      "grad_norm": 1.3828125,
+      "learning_rate": 7.833808193780934e-05,
+      "loss": 4.3903,
+      "mean_token_accuracy": 0.24381678253412248,
+      "num_tokens": 18730688.0,
+      "step": 10275
+    },
+    {
+      "entropy": 5.237134313583374,
+      "epoch": 8.51698425849213,
+      "grad_norm": 1.2890625,
+      "learning_rate": 7.818303013516401e-05,
+      "loss": 4.4752,
+      "mean_token_accuracy": 0.23708440065383912,
+      "num_tokens": 18740214.0,
+      "step": 10280
+    },
+    {
+      "entropy": 5.19223198890686,
+      "epoch": 8.52112676056338,
+      "grad_norm": 1.453125,
+      "learning_rate": 7.802837533385482e-05,
+      "loss": 4.4394,
+      "mean_token_accuracy": 0.2367953270673752,
+      "num_tokens": 18748837.0,
+      "step": 10285
+    },
+    {
+      "entropy": 5.169844484329223,
+      "epoch": 8.525269262634632,
+      "grad_norm": 1.515625,
+      "learning_rate": 7.787411784583733e-05,
+      "loss": 4.3104,
+      "mean_token_accuracy": 0.248037089407444,
+      "num_tokens": 18757482.0,
+      "step": 10290
+    },
+    {
+      "entropy": 5.144911432266236,
+      "epoch": 8.529411764705882,
+      "grad_norm": 1.3671875,
+      "learning_rate": 7.772025798226582e-05,
+      "loss": 4.4084,
+      "mean_token_accuracy": 0.2401130571961403,
+      "num_tokens": 18766326.0,
+      "step": 10295
+    },
+    {
+      "entropy": 5.309397840499878,
+      "epoch": 8.533554266777134,
+      "grad_norm": 1.578125,
+      "learning_rate": 7.756679605349241e-05,
+      "loss": 4.5022,
+      "mean_token_accuracy": 0.2320367693901062,
+      "num_tokens": 18774287.0,
+      "step": 10300
+    },
+    {
+      "entropy": 5.217145586013794,
+      "epoch": 8.537696768848384,
+      "grad_norm": 1.25,
+      "learning_rate": 7.741373236906658e-05,
+      "loss": 4.484,
+      "mean_token_accuracy": 0.23230270594358443,
+      "num_tokens": 18785172.0,
+      "step": 10305
+    },
+    {
+      "entropy": 5.186282730102539,
+      "epoch": 8.541839270919635,
+      "grad_norm": 1.4609375,
+      "learning_rate": 7.726106723773452e-05,
+      "loss": 4.4807,
+      "mean_token_accuracy": 0.22887564748525618,
+      "num_tokens": 18794294.0,
+      "step": 10310
+    },
+    {
+      "entropy": 5.26285572052002,
+      "epoch": 8.545981772990887,
+      "grad_norm": 1.453125,
+      "learning_rate": 7.710880096743845e-05,
+      "loss": 4.4681,
+      "mean_token_accuracy": 0.2354227989912033,
+      "num_tokens": 18803108.0,
+      "step": 10315
+    },
+    {
+      "entropy": 5.212899780273437,
+      "epoch": 8.550124275062137,
+      "grad_norm": 1.5234375,
+      "learning_rate": 7.695693386531612e-05,
+      "loss": 4.4197,
+      "mean_token_accuracy": 0.24306773543357849,
+      "num_tokens": 18811215.0,
+      "step": 10320
+    },
+    {
+      "entropy": 5.214504623413086,
+      "epoch": 8.554266777133389,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.680546623770001e-05,
+      "loss": 4.5113,
+      "mean_token_accuracy": 0.23043400049209595,
+      "num_tokens": 18820796.0,
+      "step": 10325
+    },
+    {
+      "entropy": 5.33404221534729,
+      "epoch": 8.55840927920464,
+      "grad_norm": 1.40625,
+      "learning_rate": 7.665439839011701e-05,
+      "loss": 4.554,
+      "mean_token_accuracy": 0.21822466552257538,
+      "num_tokens": 18830673.0,
+      "step": 10330
+    },
+    {
+      "entropy": 5.219755029678344,
+      "epoch": 8.562551781275891,
+      "grad_norm": 1.515625,
+      "learning_rate": 7.650373062728735e-05,
+      "loss": 4.4567,
+      "mean_token_accuracy": 0.23806945085525513,
+      "num_tokens": 18839898.0,
+      "step": 10335
+    },
+    {
+      "entropy": 5.2029930591583256,
+      "epoch": 8.566694283347141,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.635346325312437e-05,
+      "loss": 4.3957,
+      "mean_token_accuracy": 0.24061628580093383,
+      "num_tokens": 18848380.0,
+      "step": 10340
+    },
+    {
+      "entropy": 5.183950519561767,
+      "epoch": 8.570836785418393,
+      "grad_norm": 1.4765625,
+      "learning_rate": 7.62035965707339e-05,
+      "loss": 4.3698,
+      "mean_token_accuracy": 0.23951665312051773,
+      "num_tokens": 18857157.0,
+      "step": 10345
+    },
+    {
+      "entropy": 5.218787288665771,
+      "epoch": 8.574979287489644,
+      "grad_norm": 1.4296875,
+      "learning_rate": 7.605413088241325e-05,
+      "loss": 4.4386,
+      "mean_token_accuracy": 0.23871394395828247,
+      "num_tokens": 18866544.0,
+      "step": 10350
+    },
+    {
+      "entropy": 5.245972967147827,
+      "epoch": 8.579121789560896,
+      "grad_norm": 1.390625,
+      "learning_rate": 7.59050664896512e-05,
+      "loss": 4.4763,
+      "mean_token_accuracy": 0.23758894056081772,
+      "num_tokens": 18876052.0,
+      "step": 10355
+    },
+    {
+      "entropy": 5.173453092575073,
+      "epoch": 8.583264291632146,
+      "grad_norm": 1.5390625,
+      "learning_rate": 7.575640369312684e-05,
+      "loss": 4.3606,
+      "mean_token_accuracy": 0.24585366398096084,
+      "num_tokens": 18885141.0,
+      "step": 10360
+    },
+    {
+      "entropy": 5.170973825454712,
+      "epoch": 8.587406793703398,
+      "grad_norm": 1.5,
+      "learning_rate": 7.560814279270928e-05,
+      "loss": 4.3688,
+      "mean_token_accuracy": 0.2500849083065987,
+      "num_tokens": 18893108.0,
+      "step": 10365
+    },
+    {
+      "entropy": 5.223328018188477,
+      "epoch": 8.591549295774648,
+      "grad_norm": 1.4921875,
+      "learning_rate": 7.5460284087457e-05,
+      "loss": 4.4345,
+      "mean_token_accuracy": 0.24185387045145035,
+      "num_tokens": 18901436.0,
+      "step": 10370
+    },
+    {
+      "entropy": 5.210998106002807,
+      "epoch": 8.595691797845898,
+      "grad_norm": 1.3671875,
+      "learning_rate": 7.53128278756171e-05,
+      "loss": 4.4018,
+      "mean_token_accuracy": 0.24778844714164733,
+      "num_tokens": 18910057.0,
+      "step": 10375
+    },
+    {
+      "entropy": 5.1040510654449465,
+      "epoch": 8.59983429991715,
+      "grad_norm": 1.3828125,
+      "learning_rate": 7.516577445462493e-05,
+      "loss": 4.3,
+      "mean_token_accuracy": 0.24971302300691606,
+      "num_tokens": 18918270.0,
+      "step": 10380
+    },
+    {
+      "entropy": 5.231306409835815,
+      "epoch": 8.6039768019884,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.501912412110331e-05,
+      "loss": 4.4845,
+      "mean_token_accuracy": 0.23085562586784364,
+      "num_tokens": 18928202.0,
+      "step": 10385
+    },
+    {
+      "entropy": 5.2012535572052006,
+      "epoch": 8.608119304059652,
+      "grad_norm": 1.484375,
+      "learning_rate": 7.487287717086193e-05,
+      "loss": 4.4517,
+      "mean_token_accuracy": 0.23962246477603913,
+      "num_tokens": 18937837.0,
+      "step": 10390
+    },
+    {
+      "entropy": 5.208834791183472,
+      "epoch": 8.612261806130903,
+      "grad_norm": 1.4296875,
+      "learning_rate": 7.472703389889695e-05,
+      "loss": 4.4011,
+      "mean_token_accuracy": 0.24069707244634628,
+      "num_tokens": 18946391.0,
+      "step": 10395
+    },
+    {
+      "entropy": 5.2311876773834225,
+      "epoch": 8.616404308202155,
+      "grad_norm": 1.390625,
+      "learning_rate": 7.458159459939007e-05,
+      "loss": 4.4489,
+      "mean_token_accuracy": 0.23659338057041168,
+      "num_tokens": 18955269.0,
+      "step": 10400
+    },
+    {
+      "entropy": 5.190009307861328,
+      "epoch": 8.620546810273405,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.443655956570842e-05,
+      "loss": 4.3755,
+      "mean_token_accuracy": 0.24546574354171752,
+      "num_tokens": 18964030.0,
+      "step": 10405
+    },
+    {
+      "entropy": 5.1890928745269775,
+      "epoch": 8.624689312344657,
+      "grad_norm": 1.359375,
+      "learning_rate": 7.429192909040339e-05,
+      "loss": 4.3809,
+      "mean_token_accuracy": 0.2469545379281044,
+      "num_tokens": 18973690.0,
+      "step": 10410
+    },
+    {
+      "entropy": 5.18334994316101,
+      "epoch": 8.628831814415907,
+      "grad_norm": 1.5,
+      "learning_rate": 7.414770346521043e-05,
+      "loss": 4.3623,
+      "mean_token_accuracy": 0.24696797430515288,
+      "num_tokens": 18981339.0,
+      "step": 10415
+    },
+    {
+      "entropy": 5.2303839206695555,
+      "epoch": 8.632974316487159,
+      "grad_norm": 1.5625,
+      "learning_rate": 7.400388298104851e-05,
+      "loss": 4.4068,
+      "mean_token_accuracy": 0.2369140088558197,
+      "num_tokens": 18990141.0,
+      "step": 10420
+    },
+    {
+      "entropy": 5.159129667282104,
+      "epoch": 8.63711681855841,
+      "grad_norm": 1.3984375,
+      "learning_rate": 7.386046792801911e-05,
+      "loss": 4.3986,
+      "mean_token_accuracy": 0.24463264495134354,
+      "num_tokens": 18999217.0,
+      "step": 10425
+    },
+    {
+      "entropy": 5.21497597694397,
+      "epoch": 8.64125932062966,
+      "grad_norm": 1.6640625,
+      "learning_rate": 7.371745859540622e-05,
+      "loss": 4.478,
+      "mean_token_accuracy": 0.23663176596164703,
+      "num_tokens": 19008554.0,
+      "step": 10430
+    },
+    {
+      "entropy": 5.173939180374146,
+      "epoch": 8.645401822700912,
+      "grad_norm": 1.40625,
+      "learning_rate": 7.357485527167522e-05,
+      "loss": 4.4008,
+      "mean_token_accuracy": 0.24518686681985855,
+      "num_tokens": 19018159.0,
+      "step": 10435
+    },
+    {
+      "entropy": 5.206839847564697,
+      "epoch": 8.649544324772162,
+      "grad_norm": 1.5625,
+      "learning_rate": 7.343265824447254e-05,
+      "loss": 4.3876,
+      "mean_token_accuracy": 0.23844624310731888,
+      "num_tokens": 19026985.0,
+      "step": 10440
+    },
+    {
+      "entropy": 5.248799228668213,
+      "epoch": 8.653686826843414,
+      "grad_norm": 1.3671875,
+      "learning_rate": 7.329086780062522e-05,
+      "loss": 4.4566,
+      "mean_token_accuracy": 0.2319045841693878,
+      "num_tokens": 19036745.0,
+      "step": 10445
+    },
+    {
+      "entropy": 5.184232616424561,
+      "epoch": 8.657829328914664,
+      "grad_norm": 1.390625,
+      "learning_rate": 7.314948422613998e-05,
+      "loss": 4.3972,
+      "mean_token_accuracy": 0.24480258375406266,
+      "num_tokens": 19045200.0,
+      "step": 10450
+    },
+    {
+      "entropy": 5.22222671508789,
+      "epoch": 8.661971830985916,
+      "grad_norm": 1.5703125,
+      "learning_rate": 7.30085078062031e-05,
+      "loss": 4.3972,
+      "mean_token_accuracy": 0.24710927307605743,
+      "num_tokens": 19054102.0,
+      "step": 10455
+    },
+    {
+      "entropy": 5.227342224121093,
+      "epoch": 8.666114333057166,
+      "grad_norm": 1.3828125,
+      "learning_rate": 7.286793882517922e-05,
+      "loss": 4.4817,
+      "mean_token_accuracy": 0.23506841957569122,
+      "num_tokens": 19062895.0,
+      "step": 10460
+    },
+    {
+      "entropy": 5.171539640426635,
+      "epoch": 8.670256835128418,
+      "grad_norm": 1.484375,
+      "learning_rate": 7.272777756661152e-05,
+      "loss": 4.3649,
+      "mean_token_accuracy": 0.24760980010032654,
+      "num_tokens": 19071523.0,
+      "step": 10465
+    },
+    {
+      "entropy": 5.185952615737915,
+      "epoch": 8.674399337199668,
+      "grad_norm": 1.4765625,
+      "learning_rate": 7.258802431322047e-05,
+      "loss": 4.4121,
+      "mean_token_accuracy": 0.23732124269008636,
+      "num_tokens": 19080765.0,
+      "step": 10470
+    },
+    {
+      "entropy": 5.252375984191895,
+      "epoch": 8.67854183927092,
+      "grad_norm": 1.3359375,
+      "learning_rate": 7.244867934690364e-05,
+      "loss": 4.4613,
+      "mean_token_accuracy": 0.2323843464255333,
+      "num_tokens": 19089871.0,
+      "step": 10475
+    },
+    {
+      "entropy": 5.187610292434693,
+      "epoch": 8.68268434134217,
+      "grad_norm": 1.3828125,
+      "learning_rate": 7.230974294873513e-05,
+      "loss": 4.3838,
+      "mean_token_accuracy": 0.24054025560617448,
+      "num_tokens": 19098928.0,
+      "step": 10480
+    },
+    {
+      "entropy": 5.245558977127075,
+      "epoch": 8.68682684341342,
+      "grad_norm": 1.3984375,
+      "learning_rate": 7.217121539896476e-05,
+      "loss": 4.4835,
+      "mean_token_accuracy": 0.23271409273147584,
+      "num_tokens": 19107795.0,
+      "step": 10485
+    },
+    {
+      "entropy": 5.311456537246704,
+      "epoch": 8.690969345484673,
+      "grad_norm": 1.46875,
+      "learning_rate": 7.203309697701784e-05,
+      "loss": 4.4991,
+      "mean_token_accuracy": 0.22682723701000213,
+      "num_tokens": 19117060.0,
+      "step": 10490
+    },
+    {
+      "entropy": 5.217403793334961,
+      "epoch": 8.695111847555923,
+      "grad_norm": 1.4609375,
+      "learning_rate": 7.189538796149424e-05,
+      "loss": 4.4537,
+      "mean_token_accuracy": 0.2290256530046463,
+      "num_tokens": 19126876.0,
+      "step": 10495
+    },
+    {
+      "entropy": 5.315350341796875,
+      "epoch": 8.699254349627175,
+      "grad_norm": 1.3671875,
+      "learning_rate": 7.175808863016806e-05,
+      "loss": 4.5203,
+      "mean_token_accuracy": 0.22548595070838928,
+      "num_tokens": 19136888.0,
+      "step": 10500
+    },
+    {
+      "epoch": 8.699254349627175,
+      "eval_entropy": 5.119190056440927,
+      "eval_loss": 5.7212605476379395,
+      "eval_mean_token_accuracy": 0.16961656545779344,
+      "eval_num_tokens": 19136888.0,
+      "eval_runtime": 2.752,
+      "eval_samples_per_second": 1361.551,
+      "eval_steps_per_second": 170.421,
+      "step": 10500
+    },
+    {
+      "entropy": 5.226673030853272,
+      "epoch": 8.703396851698425,
+      "grad_norm": 1.484375,
+      "learning_rate": 7.162119925998714e-05,
+      "loss": 4.5059,
+      "mean_token_accuracy": 0.2253893718123436,
+      "num_tokens": 19146727.0,
+      "step": 10505
+    },
+    {
+      "entropy": 5.179952812194824,
+      "epoch": 8.707539353769677,
+      "grad_norm": 1.171875,
+      "learning_rate": 7.148472012707225e-05,
+      "loss": 4.412,
+      "mean_token_accuracy": 0.2382320299744606,
+      "num_tokens": 19157322.0,
+      "step": 10510
+    },
+    {
+      "entropy": 5.166423749923706,
+      "epoch": 8.711681855840927,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.134865150671676e-05,
+      "loss": 4.3914,
+      "mean_token_accuracy": 0.23635614067316055,
+      "num_tokens": 19166302.0,
+      "step": 10515
+    },
+    {
+      "entropy": 5.251778602600098,
+      "epoch": 8.71582435791218,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.121299367338593e-05,
+      "loss": 4.4374,
+      "mean_token_accuracy": 0.24589941501617432,
+      "num_tokens": 19174883.0,
+      "step": 10520
+    },
+    {
+      "entropy": 5.153423023223877,
+      "epoch": 8.71996685998343,
+      "grad_norm": 1.40625,
+      "learning_rate": 7.107774690071635e-05,
+      "loss": 4.3541,
+      "mean_token_accuracy": 0.239237742125988,
+      "num_tokens": 19184410.0,
+      "step": 10525
+    },
+    {
+      "entropy": 5.228266382217408,
+      "epoch": 8.724109362054682,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.094291146151568e-05,
+      "loss": 4.4674,
+      "mean_token_accuracy": 0.2395067408680916,
+      "num_tokens": 19193559.0,
+      "step": 10530
+    },
+    {
+      "entropy": 5.273577928543091,
+      "epoch": 8.728251864125932,
+      "grad_norm": 1.5546875,
+      "learning_rate": 7.080848762776159e-05,
+      "loss": 4.4714,
+      "mean_token_accuracy": 0.23337527960538865,
+      "num_tokens": 19202520.0,
+      "step": 10535
+    },
+    {
+      "entropy": 5.188484859466553,
+      "epoch": 8.732394366197184,
+      "grad_norm": 1.3046875,
+      "learning_rate": 7.067447567060178e-05,
+      "loss": 4.4106,
+      "mean_token_accuracy": 0.24163178950548173,
+      "num_tokens": 19212357.0,
+      "step": 10540
+    },
+    {
+      "entropy": 5.270314884185791,
+      "epoch": 8.736536868268434,
+      "grad_norm": 1.4140625,
+      "learning_rate": 7.054087586035295e-05,
+      "loss": 4.4547,
+      "mean_token_accuracy": 0.22959824949502944,
+      "num_tokens": 19222069.0,
+      "step": 10545
+    },
+    {
+      "entropy": 5.25425443649292,
+      "epoch": 8.740679370339684,
+      "grad_norm": 1.3046875,
+      "learning_rate": 7.040768846650046e-05,
+      "loss": 4.4932,
+      "mean_token_accuracy": 0.2278127059340477,
+      "num_tokens": 19232274.0,
+      "step": 10550
+    },
+    {
+      "entropy": 5.254214191436768,
+      "epoch": 8.744821872410936,
+      "grad_norm": 1.3046875,
+      "learning_rate": 7.027491375769795e-05,
+      "loss": 4.4757,
+      "mean_token_accuracy": 0.2411029651761055,
+      "num_tokens": 19241877.0,
+      "step": 10555
+    },
+    {
+      "entropy": 5.2116861820220945,
+      "epoch": 8.748964374482187,
+      "grad_norm": 1.4453125,
+      "learning_rate": 7.014255200176643e-05,
+      "loss": 4.3782,
+      "mean_token_accuracy": 0.2412834107875824,
+      "num_tokens": 19250229.0,
+      "step": 10560
+    },
+    {
+      "entropy": 5.172750854492188,
+      "epoch": 8.753106876553439,
+      "grad_norm": 1.4140625,
+      "learning_rate": 7.001060346569408e-05,
+      "loss": 4.4164,
+      "mean_token_accuracy": 0.23507136851549149,
+      "num_tokens": 19259061.0,
+      "step": 10565
+    },
+    {
+      "entropy": 5.257285022735596,
+      "epoch": 8.757249378624689,
+      "grad_norm": 1.4296875,
+      "learning_rate": 6.987906841563552e-05,
+      "loss": 4.4909,
+      "mean_token_accuracy": 0.2253558024764061,
+      "num_tokens": 19268262.0,
+      "step": 10570
+    },
+    {
+      "entropy": 5.223095846176148,
+      "epoch": 8.76139188069594,
+      "grad_norm": 1.4296875,
+      "learning_rate": 6.974794711691125e-05,
+      "loss": 4.4463,
+      "mean_token_accuracy": 0.2392427995800972,
+      "num_tokens": 19276444.0,
+      "step": 10575
+    },
+    {
+      "entropy": 5.207184934616089,
+      "epoch": 8.765534382767191,
+      "grad_norm": 1.4296875,
+      "learning_rate": 6.961723983400733e-05,
+      "loss": 4.4458,
+      "mean_token_accuracy": 0.23648034334182738,
+      "num_tokens": 19286384.0,
+      "step": 10580
+    },
+    {
+      "entropy": 5.176658248901367,
+      "epoch": 8.769676884838443,
+      "grad_norm": 1.5390625,
+      "learning_rate": 6.948694683057456e-05,
+      "loss": 4.4546,
+      "mean_token_accuracy": 0.2312345653772354,
+      "num_tokens": 19295251.0,
+      "step": 10585
+    },
+    {
+      "entropy": 5.224732780456543,
+      "epoch": 8.773819386909693,
+      "grad_norm": 1.5,
+      "learning_rate": 6.935706836942826e-05,
+      "loss": 4.4425,
+      "mean_token_accuracy": 0.24059854596853256,
+      "num_tokens": 19304288.0,
+      "step": 10590
+    },
+    {
+      "entropy": 5.250017404556274,
+      "epoch": 8.777961888980945,
+      "grad_norm": 1.453125,
+      "learning_rate": 6.922760471254738e-05,
+      "loss": 4.4356,
+      "mean_token_accuracy": 0.24030836671590805,
+      "num_tokens": 19312269.0,
+      "step": 10595
+    },
+    {
+      "entropy": 5.115903329849243,
+      "epoch": 8.782104391052195,
+      "grad_norm": 1.4140625,
+      "learning_rate": 6.909855612107437e-05,
+      "loss": 4.3473,
+      "mean_token_accuracy": 0.2516230851411819,
+      "num_tokens": 19320856.0,
+      "step": 10600
+    },
+    {
+      "entropy": 5.177384901046753,
+      "epoch": 8.786246893123447,
+      "grad_norm": 1.546875,
+      "learning_rate": 6.896992285531424e-05,
+      "loss": 4.4072,
+      "mean_token_accuracy": 0.24654482156038285,
+      "num_tokens": 19329427.0,
+      "step": 10605
+    },
+    {
+      "entropy": 5.193833827972412,
+      "epoch": 8.790389395194698,
+      "grad_norm": 1.46875,
+      "learning_rate": 6.884170517473444e-05,
+      "loss": 4.4439,
+      "mean_token_accuracy": 0.24428300708532333,
+      "num_tokens": 19337772.0,
+      "step": 10610
+    },
+    {
+      "entropy": 5.271326208114624,
+      "epoch": 8.794531897265948,
+      "grad_norm": 1.4375,
+      "learning_rate": 6.871390333796398e-05,
+      "loss": 4.4742,
+      "mean_token_accuracy": 0.2410774126648903,
+      "num_tokens": 19346693.0,
+      "step": 10615
+    },
+    {
+      "entropy": 5.241626501083374,
+      "epoch": 8.7986743993372,
+      "grad_norm": 1.359375,
+      "learning_rate": 6.85865176027931e-05,
+      "loss": 4.4086,
+      "mean_token_accuracy": 0.23272228688001634,
+      "num_tokens": 19355606.0,
+      "step": 10620
+    },
+    {
+      "entropy": 5.2006713390350345,
+      "epoch": 8.80281690140845,
+      "grad_norm": 1.2890625,
+      "learning_rate": 6.845954822617284e-05,
+      "loss": 4.4493,
+      "mean_token_accuracy": 0.23586227893829345,
+      "num_tokens": 19365552.0,
+      "step": 10625
+    },
+    {
+      "entropy": 5.243284225463867,
+      "epoch": 8.806959403479702,
+      "grad_norm": 1.5,
+      "learning_rate": 6.833299546421423e-05,
+      "loss": 4.4891,
+      "mean_token_accuracy": 0.2321949765086174,
+      "num_tokens": 19374869.0,
+      "step": 10630
+    },
+    {
+      "entropy": 5.2015196800231935,
+      "epoch": 8.811101905550952,
+      "grad_norm": 1.4375,
+      "learning_rate": 6.820685957218808e-05,
+      "loss": 4.4725,
+      "mean_token_accuracy": 0.23633115440607072,
+      "num_tokens": 19384609.0,
+      "step": 10635
+    },
+    {
+      "entropy": 5.197484254837036,
+      "epoch": 8.815244407622204,
+      "grad_norm": 1.4609375,
+      "learning_rate": 6.80811408045242e-05,
+      "loss": 4.3993,
+      "mean_token_accuracy": 0.23660303950309752,
+      "num_tokens": 19392618.0,
+      "step": 10640
+    },
+    {
+      "entropy": 5.325011968612671,
+      "epoch": 8.819386909693455,
+      "grad_norm": 1.3046875,
+      "learning_rate": 6.795583941481113e-05,
+      "loss": 4.4964,
+      "mean_token_accuracy": 0.23065129816532134,
+      "num_tokens": 19402341.0,
+      "step": 10645
+    },
+    {
+      "entropy": 5.237111806869507,
+      "epoch": 8.823529411764707,
+      "grad_norm": 1.3828125,
+      "learning_rate": 6.783095565579546e-05,
+      "loss": 4.4247,
+      "mean_token_accuracy": 0.23660608232021332,
+      "num_tokens": 19411834.0,
+      "step": 10650
+    },
+    {
+      "entropy": 5.1730334758758545,
+      "epoch": 8.827671913835957,
+      "grad_norm": 1.5234375,
+      "learning_rate": 6.77064897793814e-05,
+      "loss": 4.3767,
+      "mean_token_accuracy": 0.24239009916782378,
+      "num_tokens": 19420820.0,
+      "step": 10655
+    },
+    {
+      "entropy": 5.2696301460266115,
+      "epoch": 8.831814415907209,
+      "grad_norm": 1.328125,
+      "learning_rate": 6.758244203663015e-05,
+      "loss": 4.5166,
+      "mean_token_accuracy": 0.22715218663215636,
+      "num_tokens": 19430321.0,
+      "step": 10660
+    },
+    {
+      "entropy": 5.2090989112854,
+      "epoch": 8.835956917978459,
+      "grad_norm": 1.4140625,
+      "learning_rate": 6.745881267775967e-05,
+      "loss": 4.4195,
+      "mean_token_accuracy": 0.24382660984992982,
+      "num_tokens": 19439134.0,
+      "step": 10665
+    },
+    {
+      "entropy": 5.227123832702636,
+      "epoch": 8.840099420049711,
+      "grad_norm": 1.453125,
+      "learning_rate": 6.733560195214384e-05,
+      "loss": 4.4171,
+      "mean_token_accuracy": 0.24313016086816788,
+      "num_tokens": 19448503.0,
+      "step": 10670
+    },
+    {
+      "entropy": 5.253864049911499,
+      "epoch": 8.844241922120961,
+      "grad_norm": 1.4375,
+      "learning_rate": 6.721281010831209e-05,
+      "loss": 4.5238,
+      "mean_token_accuracy": 0.22644259929656982,
+      "num_tokens": 19458423.0,
+      "step": 10675
+    },
+    {
+      "entropy": 5.188384485244751,
+      "epoch": 8.848384424192211,
+      "grad_norm": 1.59375,
+      "learning_rate": 6.709043739394909e-05,
+      "loss": 4.4126,
+      "mean_token_accuracy": 0.2393592044711113,
+      "num_tokens": 19467346.0,
+      "step": 10680
+    },
+    {
+      "entropy": 5.213257360458374,
+      "epoch": 8.852526926263463,
+      "grad_norm": 1.3984375,
+      "learning_rate": 6.696848405589389e-05,
+      "loss": 4.405,
+      "mean_token_accuracy": 0.23745912164449692,
+      "num_tokens": 19476659.0,
+      "step": 10685
+    },
+    {
+      "entropy": 5.17372498512268,
+      "epoch": 8.856669428334714,
+      "grad_norm": 1.28125,
+      "learning_rate": 6.68469503401398e-05,
+      "loss": 4.3642,
+      "mean_token_accuracy": 0.2439992055296898,
+      "num_tokens": 19486036.0,
+      "step": 10690
+    },
+    {
+      "entropy": 5.196323728561401,
+      "epoch": 8.860811930405966,
+      "grad_norm": 1.5390625,
+      "learning_rate": 6.672583649183346e-05,
+      "loss": 4.4265,
+      "mean_token_accuracy": 0.23652248829603195,
+      "num_tokens": 19494964.0,
+      "step": 10695
+    },
+    {
+      "entropy": 5.1759912967681885,
+      "epoch": 8.864954432477216,
+      "grad_norm": 1.4453125,
+      "learning_rate": 6.66051427552749e-05,
+      "loss": 4.4115,
+      "mean_token_accuracy": 0.23101080656051637,
+      "num_tokens": 19503293.0,
+      "step": 10700
+    },
+    {
+      "entropy": 5.194973659515381,
+      "epoch": 8.869096934548468,
+      "grad_norm": 1.375,
+      "learning_rate": 6.648486937391651e-05,
+      "loss": 4.4138,
+      "mean_token_accuracy": 0.23854047656059266,
+      "num_tokens": 19512286.0,
+      "step": 10705
+    },
+    {
+      "entropy": 5.3320365905761715,
+      "epoch": 8.873239436619718,
+      "grad_norm": 1.4765625,
+      "learning_rate": 6.636501659036278e-05,
+      "loss": 4.5414,
+      "mean_token_accuracy": 0.23179779797792435,
+      "num_tokens": 19522244.0,
+      "step": 10710
+    },
+    {
+      "entropy": 5.28638482093811,
+      "epoch": 8.87738193869097,
+      "grad_norm": 1.484375,
+      "learning_rate": 6.624558464636999e-05,
+      "loss": 4.5013,
+      "mean_token_accuracy": 0.22948451787233354,
+      "num_tokens": 19531811.0,
+      "step": 10715
+    },
+    {
+      "entropy": 5.264835834503174,
+      "epoch": 8.88152444076222,
+      "grad_norm": 1.5546875,
+      "learning_rate": 6.612657378284528e-05,
+      "loss": 4.5213,
+      "mean_token_accuracy": 0.22773118317127228,
+      "num_tokens": 19541569.0,
+      "step": 10720
+    },
+    {
+      "entropy": 5.170029401779175,
+      "epoch": 8.885666942833472,
+      "grad_norm": 1.4453125,
+      "learning_rate": 6.600798423984671e-05,
+      "loss": 4.4033,
+      "mean_token_accuracy": 0.24277371019124985,
+      "num_tokens": 19549904.0,
+      "step": 10725
+    },
+    {
+      "entropy": 5.190405988693238,
+      "epoch": 8.889809444904722,
+      "grad_norm": 1.453125,
+      "learning_rate": 6.588981625658227e-05,
+      "loss": 4.3817,
+      "mean_token_accuracy": 0.23957409858703613,
+      "num_tokens": 19558804.0,
+      "step": 10730
+    },
+    {
+      "entropy": 5.217440891265869,
+      "epoch": 8.893951946975973,
+      "grad_norm": 1.5546875,
+      "learning_rate": 6.577207007140969e-05,
+      "loss": 4.3608,
+      "mean_token_accuracy": 0.23985767215490342,
+      "num_tokens": 19567060.0,
+      "step": 10735
+    },
+    {
+      "entropy": 5.19472222328186,
+      "epoch": 8.898094449047225,
+      "grad_norm": 1.1640625,
+      "learning_rate": 6.565474592183594e-05,
+      "loss": 4.4563,
+      "mean_token_accuracy": 0.22792308479547502,
+      "num_tokens": 19576813.0,
+      "step": 10740
+    },
+    {
+      "entropy": 5.1734171390533445,
+      "epoch": 8.902236951118475,
+      "grad_norm": 1.5859375,
+      "learning_rate": 6.553784404451656e-05,
+      "loss": 4.3938,
+      "mean_token_accuracy": 0.24176628440618514,
+      "num_tokens": 19585551.0,
+      "step": 10745
+    },
+    {
+      "entropy": 5.209146022796631,
+      "epoch": 8.906379453189727,
+      "grad_norm": 1.4453125,
+      "learning_rate": 6.542136467525555e-05,
+      "loss": 4.4267,
+      "mean_token_accuracy": 0.24028485119342805,
+      "num_tokens": 19595085.0,
+      "step": 10750
+    },
+    {
+      "entropy": 5.2165689945220945,
+      "epoch": 8.910521955260977,
+      "grad_norm": 1.46875,
+      "learning_rate": 6.530530804900441e-05,
+      "loss": 4.4002,
+      "mean_token_accuracy": 0.24325739294290544,
+      "num_tokens": 19603260.0,
+      "step": 10755
+    },
+    {
+      "entropy": 5.267740869522095,
+      "epoch": 8.91466445733223,
+      "grad_norm": 1.4453125,
+      "learning_rate": 6.518967439986209e-05,
+      "loss": 4.4805,
+      "mean_token_accuracy": 0.23566019982099534,
+      "num_tokens": 19611608.0,
+      "step": 10760
+    },
+    {
+      "entropy": 5.180595397949219,
+      "epoch": 8.91880695940348,
+      "grad_norm": 1.40625,
+      "learning_rate": 6.507446396107429e-05,
+      "loss": 4.3493,
+      "mean_token_accuracy": 0.24578822106122972,
+      "num_tokens": 19620214.0,
+      "step": 10765
+    },
+    {
+      "entropy": 5.2280592918396,
+      "epoch": 8.922949461474731,
+      "grad_norm": 1.53125,
+      "learning_rate": 6.495967696503303e-05,
+      "loss": 4.4435,
+      "mean_token_accuracy": 0.23996175080537796,
+      "num_tokens": 19629227.0,
+      "step": 10770
+    },
+    {
+      "entropy": 5.27520432472229,
+      "epoch": 8.927091963545982,
+      "grad_norm": 1.328125,
+      "learning_rate": 6.484531364327629e-05,
+      "loss": 4.4556,
+      "mean_token_accuracy": 0.23641515225172044,
+      "num_tokens": 19638348.0,
+      "step": 10775
+    },
+    {
+      "entropy": 5.2056111812591555,
+      "epoch": 8.931234465617234,
+      "grad_norm": 1.6484375,
+      "learning_rate": 6.473137422648728e-05,
+      "loss": 4.324,
+      "mean_token_accuracy": 0.2567539796233177,
+      "num_tokens": 19646480.0,
+      "step": 10780
+    },
+    {
+      "entropy": 5.229280662536621,
+      "epoch": 8.935376967688484,
+      "grad_norm": 1.4921875,
+      "learning_rate": 6.461785894449434e-05,
+      "loss": 4.4321,
+      "mean_token_accuracy": 0.23481076061725617,
+      "num_tokens": 19656188.0,
+      "step": 10785
+    },
+    {
+      "entropy": 5.175144863128662,
+      "epoch": 8.939519469759734,
+      "grad_norm": 1.4765625,
+      "learning_rate": 6.45047680262702e-05,
+      "loss": 4.467,
+      "mean_token_accuracy": 0.22823356539011003,
+      "num_tokens": 19664849.0,
+      "step": 10790
+    },
+    {
+      "entropy": 5.211564922332764,
+      "epoch": 8.943661971830986,
+      "grad_norm": 1.2734375,
+      "learning_rate": 6.439210169993153e-05,
+      "loss": 4.3996,
+      "mean_token_accuracy": 0.24241889715194703,
+      "num_tokens": 19675104.0,
+      "step": 10795
+    },
+    {
+      "entropy": 5.206510925292969,
+      "epoch": 8.947804473902236,
+      "grad_norm": 1.375,
+      "learning_rate": 6.427986019273873e-05,
+      "loss": 4.4381,
+      "mean_token_accuracy": 0.2374054729938507,
+      "num_tokens": 19685009.0,
+      "step": 10800
+    },
+    {
+      "entropy": 5.23604679107666,
+      "epoch": 8.951946975973488,
+      "grad_norm": 1.5234375,
+      "learning_rate": 6.416804373109507e-05,
+      "loss": 4.4553,
+      "mean_token_accuracy": 0.23570877611637114,
+      "num_tokens": 19694190.0,
+      "step": 10805
+    },
+    {
+      "entropy": 5.198193025588989,
+      "epoch": 8.956089478044738,
+      "grad_norm": 1.4765625,
+      "learning_rate": 6.405665254054666e-05,
+      "loss": 4.4617,
+      "mean_token_accuracy": 0.22833957821130751,
+      "num_tokens": 19703571.0,
+      "step": 10810
+    },
+    {
+      "entropy": 5.207875490188599,
+      "epoch": 8.96023198011599,
+      "grad_norm": 1.3515625,
+      "learning_rate": 6.394568684578165e-05,
+      "loss": 4.4241,
+      "mean_token_accuracy": 0.24091086834669112,
+      "num_tokens": 19713365.0,
+      "step": 10815
+    },
+    {
+      "entropy": 5.3342712879180905,
+      "epoch": 8.96437448218724,
+      "grad_norm": 1.546875,
+      "learning_rate": 6.383514687063e-05,
+      "loss": 4.5471,
+      "mean_token_accuracy": 0.23511630594730376,
+      "num_tokens": 19722535.0,
+      "step": 10820
+    },
+    {
+      "entropy": 5.124732971191406,
+      "epoch": 8.968516984258493,
+      "grad_norm": 1.4765625,
+      "learning_rate": 6.372503283806291e-05,
+      "loss": 4.3688,
+      "mean_token_accuracy": 0.24532900452613832,
+      "num_tokens": 19731563.0,
+      "step": 10825
+    },
+    {
+      "entropy": 5.236607599258423,
+      "epoch": 8.972659486329743,
+      "grad_norm": 1.453125,
+      "learning_rate": 6.36153449701924e-05,
+      "loss": 4.492,
+      "mean_token_accuracy": 0.23433683216571807,
+      "num_tokens": 19741093.0,
+      "step": 10830
+    },
+    {
+      "entropy": 5.235393095016479,
+      "epoch": 8.976801988400995,
+      "grad_norm": 1.390625,
+      "learning_rate": 6.350608348827096e-05,
+      "loss": 4.4477,
+      "mean_token_accuracy": 0.23411636352539061,
+      "num_tokens": 19749489.0,
+      "step": 10835
+    },
+    {
+      "entropy": 5.228500127792358,
+      "epoch": 8.980944490472245,
+      "grad_norm": 1.484375,
+      "learning_rate": 6.339724861269085e-05,
+      "loss": 4.4642,
+      "mean_token_accuracy": 0.23431311100721358,
+      "num_tokens": 19758745.0,
+      "step": 10840
+    },
+    {
+      "entropy": 5.251041412353516,
+      "epoch": 8.985086992543497,
+      "grad_norm": 1.3671875,
+      "learning_rate": 6.328884056298393e-05,
+      "loss": 4.5074,
+      "mean_token_accuracy": 0.22834719121456146,
+      "num_tokens": 19767713.0,
+      "step": 10845
+    },
+    {
+      "entropy": 5.217907953262329,
+      "epoch": 8.989229494614747,
+      "grad_norm": 1.328125,
+      "learning_rate": 6.31808595578211e-05,
+      "loss": 4.4852,
+      "mean_token_accuracy": 0.2333643764257431,
+      "num_tokens": 19777236.0,
+      "step": 10850
+    },
+    {
+      "entropy": 5.1644727230072025,
+      "epoch": 8.993371996685998,
+      "grad_norm": 1.46875,
+      "learning_rate": 6.307330581501183e-05,
+      "loss": 4.3734,
+      "mean_token_accuracy": 0.24639918506145478,
+      "num_tokens": 19785981.0,
+      "step": 10855
+    },
+    {
+      "entropy": 5.195607471466064,
+      "epoch": 8.99751449875725,
+      "grad_norm": 1.546875,
+      "learning_rate": 6.29661795515038e-05,
+      "loss": 4.464,
+      "mean_token_accuracy": 0.23550200313329697,
+      "num_tokens": 19795046.0,
+      "step": 10860
+    },
+    {
+      "entropy": 5.301530122756958,
+      "epoch": 9.0016570008285,
+      "grad_norm": 1.4921875,
+      "learning_rate": 6.285948098338238e-05,
+      "loss": 4.4776,
+      "mean_token_accuracy": 0.2346542462706566,
+      "num_tokens": 19803108.0,
+      "step": 10865
+    },
+    {
+      "entropy": 5.265822219848633,
+      "epoch": 9.005799502899752,
+      "grad_norm": 1.359375,
+      "learning_rate": 6.27532103258702e-05,
+      "loss": 4.4339,
+      "mean_token_accuracy": 0.23500234484672547,
+      "num_tokens": 19812751.0,
+      "step": 10870
+    },
+    {
+      "entropy": 5.236967515945435,
+      "epoch": 9.009942004971002,
+      "grad_norm": 1.4375,
+      "learning_rate": 6.26473677933269e-05,
+      "loss": 4.4317,
+      "mean_token_accuracy": 0.24202024787664414,
+      "num_tokens": 19821634.0,
+      "step": 10875
+    },
+    {
+      "entropy": 5.206866502761841,
+      "epoch": 9.014084507042254,
+      "grad_norm": 1.3671875,
+      "learning_rate": 6.254195359924827e-05,
+      "loss": 4.3658,
+      "mean_token_accuracy": 0.24844859838485717,
+      "num_tokens": 19830760.0,
+      "step": 10880
+    },
+    {
+      "entropy": 5.134595823287964,
+      "epoch": 9.018227009113504,
+      "grad_norm": 1.3828125,
+      "learning_rate": 6.24369679562664e-05,
+      "loss": 4.2893,
+      "mean_token_accuracy": 0.25201261341571807,
+      "num_tokens": 19839463.0,
+      "step": 10885
+    },
+    {
+      "entropy": 5.170546007156372,
+      "epoch": 9.022369511184756,
+      "grad_norm": 1.390625,
+      "learning_rate": 6.233241107614875e-05,
+      "loss": 4.348,
+      "mean_token_accuracy": 0.24622674733400346,
+      "num_tokens": 19848256.0,
+      "step": 10890
+    },
+    {
+      "entropy": 5.220857858657837,
+      "epoch": 9.026512013256006,
+      "grad_norm": 1.328125,
+      "learning_rate": 6.222828316979798e-05,
+      "loss": 4.4067,
+      "mean_token_accuracy": 0.2488214135169983,
+      "num_tokens": 19857572.0,
+      "step": 10895
+    },
+    {
+      "entropy": 5.213380241394043,
+      "epoch": 9.030654515327258,
+      "grad_norm": 1.390625,
+      "learning_rate": 6.212458444725146e-05,
+      "loss": 4.4407,
+      "mean_token_accuracy": 0.2404656767845154,
+      "num_tokens": 19866825.0,
+      "step": 10900
+    },
+    {
+      "entropy": 5.333277177810669,
+      "epoch": 9.034797017398509,
+      "grad_norm": 1.421875,
+      "learning_rate": 6.202131511768079e-05,
+      "loss": 4.5306,
+      "mean_token_accuracy": 0.2320836752653122,
+      "num_tokens": 19875970.0,
+      "step": 10905
+    },
+    {
+      "entropy": 5.19785590171814,
+      "epoch": 9.03893951946976,
+      "grad_norm": 1.421875,
+      "learning_rate": 6.19184753893916e-05,
+      "loss": 4.3649,
+      "mean_token_accuracy": 0.24742332100868225,
+      "num_tokens": 19884910.0,
+      "step": 10910
+    },
+    {
+      "entropy": 5.254814195632934,
+      "epoch": 9.04308202154101,
+      "grad_norm": 1.5390625,
+      "learning_rate": 6.181606546982274e-05,
+      "loss": 4.4473,
+      "mean_token_accuracy": 0.23443322479724885,
+      "num_tokens": 19894838.0,
+      "step": 10915
+    },
+    {
+      "entropy": 5.31064190864563,
+      "epoch": 9.047224523612261,
+      "grad_norm": 1.3515625,
+      "learning_rate": 6.171408556554633e-05,
+      "loss": 4.5176,
+      "mean_token_accuracy": 0.23148290067911148,
+      "num_tokens": 19904809.0,
+      "step": 10920
+    },
+    {
+      "entropy": 5.150750684738159,
+      "epoch": 9.051367025683513,
+      "grad_norm": 1.359375,
+      "learning_rate": 6.16125358822669e-05,
+      "loss": 4.278,
+      "mean_token_accuracy": 0.25764970630407336,
+      "num_tokens": 19913549.0,
+      "step": 10925
+    },
+    {
+      "entropy": 5.20046558380127,
+      "epoch": 9.055509527754763,
+      "grad_norm": 1.484375,
+      "learning_rate": 6.151141662482126e-05,
+      "loss": 4.392,
+      "mean_token_accuracy": 0.24374349564313888,
+      "num_tokens": 19922572.0,
+      "step": 10930
+    },
+    {
+      "entropy": 5.273454380035401,
+      "epoch": 9.059652029826015,
+      "grad_norm": 1.3203125,
+      "learning_rate": 6.141072799717805e-05,
+      "loss": 4.4997,
+      "mean_token_accuracy": 0.23127662241458893,
+      "num_tokens": 19932058.0,
+      "step": 10935
+    },
+    {
+      "entropy": 5.156973218917846,
+      "epoch": 9.063794531897265,
+      "grad_norm": 1.4765625,
+      "learning_rate": 6.131047020243717e-05,
+      "loss": 4.3323,
+      "mean_token_accuracy": 0.24524755626916886,
+      "num_tokens": 19940406.0,
+      "step": 10940
+    },
+    {
+      "entropy": 5.210061025619507,
+      "epoch": 9.067937033968517,
+      "grad_norm": 1.3515625,
+      "learning_rate": 6.121064344282962e-05,
+      "loss": 4.4013,
+      "mean_token_accuracy": 0.2429831638932228,
+      "num_tokens": 19949181.0,
+      "step": 10945
+    },
+    {
+      "entropy": 5.285635852813721,
+      "epoch": 9.072079536039768,
+      "grad_norm": 1.46875,
+      "learning_rate": 6.111124791971687e-05,
+      "loss": 4.455,
+      "mean_token_accuracy": 0.2381931722164154,
+      "num_tokens": 19958159.0,
+      "step": 10950
+    },
+    {
+      "entropy": 5.203660869598389,
+      "epoch": 9.07622203811102,
+      "grad_norm": 1.4296875,
+      "learning_rate": 6.1012283833590465e-05,
+      "loss": 4.4073,
+      "mean_token_accuracy": 0.23713038712739945,
+      "num_tokens": 19967614.0,
+      "step": 10955
+    },
+    {
+      "entropy": 5.19450831413269,
+      "epoch": 9.08036454018227,
+      "grad_norm": 1.390625,
+      "learning_rate": 6.091375138407189e-05,
+      "loss": 4.3645,
+      "mean_token_accuracy": 0.24391285181045533,
+      "num_tokens": 19977697.0,
+      "step": 10960
+    },
+    {
+      "entropy": 5.286946868896484,
+      "epoch": 9.084507042253522,
+      "grad_norm": 1.390625,
+      "learning_rate": 6.0815650769911774e-05,
+      "loss": 4.4528,
+      "mean_token_accuracy": 0.23440741002559662,
+      "num_tokens": 19986152.0,
+      "step": 10965
+    },
+    {
+      "entropy": 5.234480237960815,
+      "epoch": 9.088649544324772,
+      "grad_norm": 1.40625,
+      "learning_rate": 6.0717982188989884e-05,
+      "loss": 4.4269,
+      "mean_token_accuracy": 0.2272487089037895,
+      "num_tokens": 19995904.0,
+      "step": 10970
+    },
+    {
+      "entropy": 5.219088220596314,
+      "epoch": 9.092792046396022,
+      "grad_norm": 1.4140625,
+      "learning_rate": 6.062074583831432e-05,
+      "loss": 4.4299,
+      "mean_token_accuracy": 0.2481380894780159,
+      "num_tokens": 20005516.0,
+      "step": 10975
+    },
+    {
+      "entropy": 5.197182607650757,
+      "epoch": 9.096934548467274,
+      "grad_norm": 1.40625,
+      "learning_rate": 6.052394191402145e-05,
+      "loss": 4.3823,
+      "mean_token_accuracy": 0.23788939118385316,
+      "num_tokens": 20014183.0,
+      "step": 10980
+    },
+    {
+      "entropy": 5.199581241607666,
+      "epoch": 9.101077050538525,
+      "grad_norm": 1.40625,
+      "learning_rate": 6.042757061137545e-05,
+      "loss": 4.4078,
+      "mean_token_accuracy": 0.23736743181943892,
+      "num_tokens": 20023537.0,
+      "step": 10985
+    },
+    {
+      "entropy": 5.305942583084106,
+      "epoch": 9.105219552609777,
+      "grad_norm": 1.4609375,
+      "learning_rate": 6.033163212476762e-05,
+      "loss": 4.4498,
+      "mean_token_accuracy": 0.24004426300525666,
+      "num_tokens": 20032639.0,
+      "step": 10990
+    },
+    {
+      "entropy": 5.27437014579773,
+      "epoch": 9.109362054681027,
+      "grad_norm": 1.4453125,
+      "learning_rate": 6.023612664771651e-05,
+      "loss": 4.4331,
+      "mean_token_accuracy": 0.24564536660909653,
+      "num_tokens": 20041273.0,
+      "step": 10995
+    },
+    {
+      "entropy": 5.284713315963745,
+      "epoch": 9.113504556752279,
+      "grad_norm": 1.5234375,
+      "learning_rate": 6.014105437286705e-05,
+      "loss": 4.3282,
+      "mean_token_accuracy": 0.2430446207523346,
+      "num_tokens": 20049730.0,
+      "step": 11000
+    },
+    {
+      "epoch": 9.113504556752279,
+      "eval_entropy": 5.114147528910688,
+      "eval_loss": 5.719377517700195,
+      "eval_mean_token_accuracy": 0.16999920770557705,
+      "eval_num_tokens": 20049730.0,
+      "eval_runtime": 2.9375,
+      "eval_samples_per_second": 1275.591,
+      "eval_steps_per_second": 159.662,
+      "step": 11000
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 12060,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 2.9917236972672e+16,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}
diff --git a/checkpoint-11000/training_args.bin b/checkpoint-11000/training_args.bin
new file mode 100644
index 0000000..47a7b32
--- /dev/null
+++ b/checkpoint-11000/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e406e906697be5d5c4bea7f90a038122ca162eb6b7e40512a32661ef55af9075
+size 6353
diff --git a/checkpoint-11500/added_tokens.json b/checkpoint-11500/added_tokens.json
new file mode 100644
index 0000000..b3dbcdb
--- /dev/null
+++ b/checkpoint-11500/added_tokens.json
@@ -0,0 +1,1202 @@
+{
+  "<pad>": 50002,
+  "[CLS]": 50000,
+  "[MASK]": 50003,
+  "[SEP]": 50001,
+  "[XXXXX0]": 50771,
+  "[XXXXX1000]": 50549,
+  "[XXXXX1001]": 50657,
+  "[XXXXX1002]": 51158,
+  "[XXXXX1003]": 51044,
+  "[XXXXX1004]": 50688,
+  "[XXXXX1005]": 50689,
+  "[XXXXX1006]": 50410,
+  "[XXXXX1007]": 50724,
+  "[XXXXX1008]": 50171,
+  "[XXXXX1009]": 51077,
+  "[XXXXX100]": 50091,
+  "[XXXXX1010]": 50639,
+  "[XXXXX1011]": 51094,
+  "[XXXXX1012]": 50392,
+  "[XXXXX1013]": 50626,
+  "[XXXXX1014]": 50991,
+  "[XXXXX1015]": 50529,
+  "[XXXXX1016]": 51193,
+  "[XXXXX1017]": 51073,
+  "[XXXXX1018]": 51104,
+  "[XXXXX1019]": 50775,
+  "[XXXXX101]": 50139,
+  "[XXXXX1020]": 50157,
+  "[XXXXX1021]": 50934,
+  "[XXXXX1022]": 51159,
+  "[XXXXX1023]": 50048,
+  "[XXXXX1024]": 51123,
+  "[XXXXX1025]": 50084,
+  "[XXXXX1026]": 50813,
+  "[XXXXX1027]": 50725,
+  "[XXXXX1028]": 50931,
+  "[XXXXX1029]": 50233,
+  "[XXXXX102]": 50213,
+  "[XXXXX1030]": 51023,
+  "[XXXXX1031]": 50098,
+  "[XXXXX1032]": 50802,
+  "[XXXXX1033]": 50061,
+  "[XXXXX1034]": 51139,
+  "[XXXXX1035]": 51110,
+  "[XXXXX1036]": 50204,
+  "[XXXXX1037]": 50023,
+  "[XXXXX1038]": 50142,
+  "[XXXXX1039]": 50328,
+  "[XXXXX103]": 50087,
+  "[XXXXX1040]": 50435,
+  "[XXXXX1041]": 50489,
+  "[XXXXX1042]": 50216,
+  "[XXXXX1043]": 50144,
+  "[XXXXX1044]": 50832,
+  "[XXXXX1045]": 50566,
+  "[XXXXX1046]": 50922,
+  "[XXXXX1047]": 50796,
+  "[XXXXX1048]": 50533,
+  "[XXXXX1049]": 50433,
+  "[XXXXX104]": 50478,
+  "[XXXXX1050]": 50953,
+  "[XXXXX1051]": 50497,
+  "[XXXXX1052]": 50655,
+  "[XXXXX1053]": 50881,
+  "[XXXXX1054]": 50461,
+  "[XXXXX1055]": 50052,
+  "[XXXXX1056]": 50219,
+  "[XXXXX1057]": 50789,
+  "[XXXXX1058]": 50121,
+  "[XXXXX1059]": 51002,
+  "[XXXXX105]": 51192,
+  "[XXXXX1060]": 50158,
+  "[XXXXX1061]": 50352,
+  "[XXXXX1062]": 50637,
+  "[XXXXX1063]": 50440,
+  "[XXXXX1064]": 50590,
+  "[XXXXX1065]": 51107,
+  "[XXXXX1066]": 50758,
+  "[XXXXX1067]": 51011,
+  "[XXXXX1068]": 50985,
+  "[XXXXX1069]": 51175,
+  "[XXXXX106]": 50532,
+  "[XXXXX1070]": 50790,
+  "[XXXXX1071]": 50394,
+  "[XXXXX1072]": 50852,
+  "[XXXXX1073]": 50869,
+  "[XXXXX1074]": 50126,
+  "[XXXXX1075]": 50783,
+  "[XXXXX1076]": 50806,
+  "[XXXXX1077]": 50882,
+  "[XXXXX1078]": 50726,
+  "[XXXXX1079]": 51010,
+  "[XXXXX107]": 50714,
+  "[XXXXX1080]": 50168,
+  "[XXXXX1081]": 50425,
+  "[XXXXX1082]": 50848,
+  "[XXXXX1083]": 50014,
+  "[XXXXX1084]": 50341,
+  "[XXXXX1085]": 50734,
+  "[XXXXX1086]": 50664,
+  "[XXXXX1087]": 51007,
+  "[XXXXX1088]": 51151,
+  "[XXXXX1089]": 50269,
+  "[XXXXX108]": 50996,
+  "[XXXXX1090]": 50826,
+  "[XXXXX1091]": 51105,
+  "[XXXXX1092]": 50731,
+  "[XXXXX1093]": 50856,
+  "[XXXXX1094]": 50369,
+  "[XXXXX1095]": 50065,
+  "[XXXXX1096]": 50309,
+  "[XXXXX1097]": 50838,
+  "[XXXXX1098]": 50451,
+  "[XXXXX1099]": 50384,
+  "[XXXXX109]": 50543,
+  "[XXXXX10]": 50325,
+  "[XXXXX1100]": 50318,
+  "[XXXXX1101]": 50764,
+  "[XXXXX1102]": 51025,
+  "[XXXXX1103]": 50642,
+  "[XXXXX1104]": 50665,
+  "[XXXXX1105]": 50855,
+  "[XXXXX1106]": 51063,
+  "[XXXXX1107]": 50025,
+  "[XXXXX1108]": 50122,
+  "[XXXXX1109]": 50470,
+  "[XXXXX110]": 50062,
+  "[XXXXX1110]": 51019,
+  "[XXXXX1111]": 51124,
+  "[XXXXX1112]": 50146,
+  "[XXXXX1113]": 51125,
+  "[XXXXX1114]": 50434,
+  "[XXXXX1115]": 50818,
+  "[XXXXX1116]": 50960,
+  "[XXXXX1117]": 50258,
+  "[XXXXX1118]": 50596,
+  "[XXXXX1119]": 50083,
+  "[XXXXX111]": 51064,
+  "[XXXXX1120]": 50915,
+  "[XXXXX1121]": 50835,
+  "[XXXXX1122]": 51056,
+  "[XXXXX1123]": 50172,
+  "[XXXXX1124]": 50972,
+  "[XXXXX1125]": 50275,
+  "[XXXXX1126]": 50430,
+  "[XXXXX1127]": 50743,
+  "[XXXXX1128]": 50551,
+  "[XXXXX1129]": 50439,
+  "[XXXXX112]": 50819,
+  "[XXXXX1130]": 50536,
+  "[XXXXX1131]": 50622,
+  "[XXXXX1132]": 50623,
+  "[XXXXX1133]": 50117,
+  "[XXXXX1134]": 50251,
+  "[XXXXX1135]": 50678,
+  "[XXXXX1136]": 50316,
+  "[XXXXX1137]": 50905,
+  "[XXXXX1138]": 50992,
+  "[XXXXX1139]": 50851,
+  "[XXXXX113]": 50443,
+  "[XXXXX1140]": 50499,
+  "[XXXXX1141]": 50629,
+  "[XXXXX1142]": 50944,
+  "[XXXXX1143]": 50373,
+  "[XXXXX1144]": 50123,
+  "[XXXXX1145]": 50173,
+  "[XXXXX1146]": 50891,
+  "[XXXXX1147]": 50471,
+  "[XXXXX1148]": 50560,
+  "[XXXXX1149]": 50541,
+  "[XXXXX114]": 50631,
+  "[XXXXX1150]": 50033,
+  "[XXXXX1151]": 50063,
+  "[XXXXX1152]": 50767,
+  "[XXXXX1153]": 50897,
+  "[XXXXX1154]": 50568,
+  "[XXXXX1155]": 51131,
+  "[XXXXX1156]": 50009,
+  "[XXXXX1157]": 50417,
+  "[XXXXX1158]": 50477,
+  "[XXXXX1159]": 50941,
+  "[XXXXX115]": 50294,
+  "[XXXXX1160]": 50679,
+  "[XXXXX1161]": 51108,
+  "[XXXXX1162]": 50332,
+  "[XXXXX1163]": 50424,
+  "[XXXXX1164]": 50473,
+  "[XXXXX1165]": 50793,
+  "[XXXXX1166]": 50453,
+  "[XXXXX1167]": 50807,
+  "[XXXXX1168]": 50128,
+  "[XXXXX1169]": 50039,
+  "[XXXXX116]": 50759,
+  "[XXXXX1170]": 50735,
+  "[XXXXX1171]": 50366,
+  "[XXXXX1172]": 50808,
+  "[XXXXX1173]": 50426,
+  "[XXXXX1174]": 50076,
+  "[XXXXX1175]": 50943,
+  "[XXXXX1176]": 50252,
+  "[XXXXX1177]": 50999,
+  "[XXXXX1178]": 50264,
+  "[XXXXX1179]": 50607,
+  "[XXXXX117]": 51036,
+  "[XXXXX1180]": 50986,
+  "[XXXXX1181]": 50744,
+  "[XXXXX1182]": 50186,
+  "[XXXXX1183]": 50555,
+  "[XXXXX1184]": 51076,
+  "[XXXXX1185]": 50849,
+  "[XXXXX1186]": 51128,
+  "[XXXXX1187]": 50858,
+  "[XXXXX1188]": 50656,
+  "[XXXXX1189]": 50064,
+  "[XXXXX118]": 50081,
+  "[XXXXX1190]": 51197,
+  "[XXXXX1191]": 50104,
+  "[XXXXX1192]": 50045,
+  "[XXXXX1193]": 50404,
+  "[XXXXX1194]": 50690,
+  "[XXXXX1195]": 50495,
+  "[XXXXX119]": 50108,
+  "[XXXXX11]": 50976,
+  "[XXXXX120]": 51081,
+  "[XXXXX121]": 50464,
+  "[XXXXX122]": 50829,
+  "[XXXXX123]": 50766,
+  "[XXXXX124]": 50732,
+  "[XXXXX125]": 50221,
+  "[XXXXX126]": 50810,
+  "[XXXXX127]": 50130,
+  "[XXXXX128]": 50751,
+  "[XXXXX129]": 50662,
+  "[XXXXX12]": 50602,
+  "[XXXXX130]": 50035,
+  "[XXXXX131]": 50715,
+  "[XXXXX132]": 50340,
+  "[XXXXX133]": 50563,
+  "[XXXXX134]": 50993,
+  "[XXXXX135]": 50304,
+  "[XXXXX136]": 50131,
+  "[XXXXX137]": 50578,
+  "[XXXXX138]": 50757,
+  "[XXXXX139]": 50582,
+  "[XXXXX13]": 50105,
+  "[XXXXX140]": 50085,
+  "[XXXXX141]": 50553,
+  "[XXXXX142]": 50749,
+  "[XXXXX143]": 50351,
+  "[XXXXX144]": 51024,
+  "[XXXXX145]": 51144,
+  "[XXXXX146]": 50042,
+  "[XXXXX147]": 50145,
+  "[XXXXX148]": 50066,
+  "[XXXXX149]": 50876,
+  "[XXXXX14]": 51006,
+  "[XXXXX150]": 50280,
+  "[XXXXX151]": 50093,
+  "[XXXXX152]": 50638,
+  "[XXXXX153]": 50684,
+  "[XXXXX154]": 50820,
+  "[XXXXX155]": 51196,
+  "[XXXXX156]": 50317,
+  "[XXXXX157]": 50284,
+  "[XXXXX158]": 50288,
+  "[XXXXX159]": 50814,
+  "[XXXXX15]": 50608,
+  "[XXXXX160]": 50004,
+  "[XXXXX161]": 50008,
+  "[XXXXX162]": 50377,
+  "[XXXXX163]": 50214,
+  "[XXXXX164]": 50708,
+  "[XXXXX165]": 50390,
+  "[XXXXX166]": 50741,
+  "[XXXXX167]": 50445,
+  "[XXXXX168]": 50936,
+  "[XXXXX169]": 50896,
+  "[XXXXX16]": 50442,
+  "[XXXXX170]": 50109,
+  "[XXXXX171]": 50140,
+  "[XXXXX172]": 50427,
+  "[XXXXX173]": 51074,
+  "[XXXXX174]": 50162,
+  "[XXXXX175]": 51015,
+  "[XXXXX176]": 50524,
+  "[XXXXX177]": 50673,
+  "[XXXXX178]": 50054,
+  "[XXXXX179]": 50805,
+  "[XXXXX17]": 50482,
+  "[XXXXX180]": 50253,
+  "[XXXXX181]": 50493,
+  "[XXXXX182]": 50421,
+  "[XXXXX183]": 51050,
+  "[XXXXX184]": 50521,
+  "[XXXXX185]": 50188,
+  "[XXXXX186]": 50147,
+  "[XXXXX187]": 50201,
+  "[XXXXX188]": 50973,
+  "[XXXXX189]": 50409,
+  "[XXXXX18]": 50115,
+  "[XXXXX190]": 50051,
+  "[XXXXX191]": 51020,
+  "[XXXXX192]": 51047,
+  "[XXXXX193]": 50669,
+  "[XXXXX194]": 50643,
+  "[XXXXX195]": 50159,
+  "[XXXXX196]": 50649,
+  "[XXXXX197]": 51178,
+  "[XXXXX198]": 50043,
+  "[XXXXX199]": 51147,
+  "[XXXXX19]": 51127,
+  "[XXXXX1]": 51114,
+  "[XXXXX200]": 50840,
+  "[XXXXX201]": 50365,
+  "[XXXXX202]": 50232,
+  "[XXXXX203]": 50241,
+  "[XXXXX204]": 50548,
+  "[XXXXX205]": 50781,
+  "[XXXXX206]": 50923,
+  "[XXXXX207]": 51115,
+  "[XXXXX208]": 50344,
+  "[XXXXX209]": 50299,
+  "[XXXXX20]": 51031,
+  "[XXXXX210]": 51179,
+  "[XXXXX211]": 51163,
+  "[XXXXX212]": 50562,
+  "[XXXXX213]": 50094,
+  "[XXXXX214]": 50257,
+  "[XXXXX215]": 50967,
+  "[XXXXX216]": 50523,
+  "[XXXXX217]": 51132,
+  "[XXXXX218]": 51146,
+  "[XXXXX219]": 50411,
+  "[XXXXX21]": 50354,
+  "[XXXXX220]": 50853,
+  "[XXXXX221]": 50886,
+  "[XXXXX222]": 50600,
+  "[XXXXX223]": 50873,
+  "[XXXXX224]": 50416,
+  "[XXXXX225]": 50675,
+  "[XXXXX226]": 50583,
+  "[XXXXX227]": 50151,
+  "[XXXXX228]": 50927,
+  "[XXXXX229]": 50609,
+  "[XXXXX22]": 50589,
+  "[XXXXX230]": 50238,
+  "[XXXXX231]": 50242,
+  "[XXXXX232]": 51016,
+  "[XXXXX233]": 50406,
+  "[XXXXX234]": 50908,
+  "[XXXXX235]": 50024,
+  "[XXXXX236]": 50270,
+  "[XXXXX237]": 50132,
+  "[XXXXX238]": 50800,
+  "[XXXXX239]": 50236,
+  "[XXXXX23]": 50007,
+  "[XXXXX240]": 50005,
+  "[XXXXX241]": 50894,
+  "[XXXXX242]": 50694,
+  "[XXXXX243]": 51071,
+  "[XXXXX244]": 51017,
+  "[XXXXX245]": 50068,
+  "[XXXXX246]": 50682,
+  "[XXXXX247]": 50913,
+  "[XXXXX248]": 51028,
+  "[XXXXX249]": 50037,
+  "[XXXXX24]": 51169,
+  "[XXXXX250]": 50747,
+  "[XXXXX251]": 50947,
+  "[XXXXX252]": 50329,
+  "[XXXXX253]": 50612,
+  "[XXXXX254]": 50110,
+  "[XXXXX255]": 50824,
+  "[XXXXX256]": 50558,
+  "[XXXXX257]": 50969,
+  "[XXXXX258]": 50729,
+  "[XXXXX259]": 50125,
+  "[XXXXX25]": 51160,
+  "[XXXXX260]": 50040,
+  "[XXXXX261]": 51038,
+  "[XXXXX262]": 50347,
+  "[XXXXX263]": 50740,
+  "[XXXXX264]": 51195,
+  "[XXXXX265]": 50879,
+  "[XXXXX266]": 50770,
+  "[XXXXX267]": 50178,
+  "[XXXXX268]": 50804,
+  "[XXXXX269]": 50906,
+  "[XXXXX26]": 50150,
+  "[XXXXX270]": 51191,
+  "[XXXXX271]": 50047,
+  "[XXXXX272]": 50195,
+  "[XXXXX273]": 50554,
+  "[XXXXX274]": 50833,
+  "[XXXXX275]": 50346,
+  "[XXXXX276]": 50950,
+  "[XXXXX277]": 50864,
+  "[XXXXX278]": 50259,
+  "[XXXXX279]": 50671,
+  "[XXXXX27]": 50468,
+  "[XXXXX280]": 50082,
+  "[XXXXX281]": 50565,
+  "[XXXXX282]": 50984,
+  "[XXXXX283]": 50650,
+  "[XXXXX284]": 50975,
+  "[XXXXX285]": 50603,
+  "[XXXXX286]": 50027,
+  "[XXXXX287]": 50181,
+  "[XXXXX288]": 50981,
+  "[XXXXX289]": 50885,
+  "[XXXXX28]": 50249,
+  "[XXXXX290]": 50522,
+  "[XXXXX291]": 50050,
+  "[XXXXX292]": 50313,
+  "[XXXXX293]": 50503,
+  "[XXXXX294]": 51176,
+  "[XXXXX295]": 51177,
+  "[XXXXX296]": 50379,
+  "[XXXXX297]": 50635,
+  "[XXXXX298]": 50723,
+  "[XXXXX299]": 50200,
+  "[XXXXX29]": 50892,
+  "[XXXXX2]": 51119,
+  "[XXXXX300]": 51026,
+  "[XXXXX301]": 50528,
+  "[XXXXX302]": 51149,
+  "[XXXXX303]": 50044,
+  "[XXXXX304]": 50209,
+  "[XXXXX305]": 50988,
+  "[XXXXX306]": 50518,
+  "[XXXXX307]": 50088,
+  "[XXXXX308]": 50733,
+  "[XXXXX309]": 51066,
+  "[XXXXX30]": 50506,
+  "[XXXXX310]": 50285,
+  "[XXXXX311]": 50859,
+  "[XXXXX312]": 50263,
+  "[XXXXX313]": 50594,
+  "[XXXXX314]": 51103,
+  "[XXXXX315]": 50871,
+  "[XXXXX316]": 50300,
+  "[XXXXX317]": 50760,
+  "[XXXXX318]": 50055,
+  "[XXXXX319]": 50389,
+  "[XXXXX31]": 50212,
+  "[XXXXX320]": 50444,
+  "[XXXXX321]": 50994,
+  "[XXXXX322]": 50281,
+  "[XXXXX323]": 50179,
+  "[XXXXX324]": 50455,
+  "[XXXXX325]": 50970,
+  "[XXXXX326]": 50666,
+  "[XXXXX327]": 50604,
+  "[XXXXX328]": 50627,
+  "[XXXXX329]": 50475,
+  "[XXXXX32]": 50277,
+  "[XXXXX330]": 50667,
+  "[XXXXX331]": 50348,
+  "[XXXXX332]": 50772,
+  "[XXXXX333]": 50163,
+  "[XXXXX334]": 50569,
+  "[XXXXX335]": 50018,
+  "[XXXXX336]": 50883,
+  "[XXXXX337]": 50067,
+  "[XXXXX338]": 51184,
+  "[XXXXX339]": 50997,
+  "[XXXXX33]": 50403,
+  "[XXXXX340]": 51013,
+  "[XXXXX341]": 50957,
+  "[XXXXX342]": 51106,
+  "[XXXXX343]": 51174,
+  "[XXXXX344]": 50391,
+  "[XXXXX345]": 50948,
+  "[XXXXX346]": 50180,
+  "[XXXXX347]": 50811,
+  "[XXXXX348]": 50401,
+  "[XXXXX349]": 50911,
+  "[XXXXX34]": 50223,
+  "[XXXXX350]": 51089,
+  "[XXXXX351]": 50777,
+  "[XXXXX352]": 50189,
+  "[XXXXX353]": 50492,
+  "[XXXXX354]": 50205,
+  "[XXXXX355]": 50374,
+  "[XXXXX356]": 51152,
+  "[XXXXX357]": 50695,
+  "[XXXXX358]": 51117,
+  "[XXXXX359]": 50573,
+  "[XXXXX35]": 50752,
+  "[XXXXX360]": 50955,
+  "[XXXXX361]": 50349,
+  "[XXXXX362]": 51137,
+  "[XXXXX363]": 50641,
+  "[XXXXX364]": 51148,
+  "[XXXXX365]": 50255,
+  "[XXXXX366]": 50310,
+  "[XXXXX367]": 50314,
+  "[XXXXX368]": 50971,
+  "[XXXXX369]": 50916,
+  "[XXXXX36]": 50437,
+  "[XXXXX370]": 51096,
+  "[XXXXX371]": 50557,
+  "[XXXXX372]": 51095,
+  "[XXXXX373]": 50382,
+  "[XXXXX374]": 50119,
+  "[XXXXX375]": 50958,
+  "[XXXXX376]": 50624,
+  "[XXXXX377]": 50483,
+  "[XXXXX378]": 50605,
+  "[XXXXX379]": 50017,
+  "[XXXXX37]": 50706,
+  "[XXXXX380]": 50246,
+  "[XXXXX381]": 50588,
+  "[XXXXX382]": 51008,
+  "[XXXXX383]": 50801,
+  "[XXXXX384]": 50290,
+  "[XXXXX385]": 50899,
+  "[XXXXX386]": 50206,
+  "[XXXXX387]": 50716,
+  "[XXXXX388]": 51082,
+  "[XXXXX389]": 50177,
+  "[XXXXX38]": 50736,
+  "[XXXXX390]": 50282,
+  "[XXXXX391]": 51183,
+  "[XXXXX392]": 50286,
+  "[XXXXX393]": 50659,
+  "[XXXXX394]": 50378,
+  "[XXXXX395]": 50709,
+  "[XXXXX396]": 50028,
+  "[XXXXX397]": 50235,
+  "[XXXXX398]": 51014,
+  "[XXXXX399]": 50880,
+  "[XXXXX39]": 50305,
+  "[XXXXX3]": 50077,
+  "[XXXXX400]": 50155,
+  "[XXXXX401]": 50710,
+  "[XXXXX402]": 50507,
+  "[XXXXX403]": 50860,
+  "[XXXXX404]": 50661,
+  "[XXXXX405]": 51083,
+  "[XXXXX406]": 50888,
+  "[XXXXX407]": 50069,
+  "[XXXXX408]": 50691,
+  "[XXXXX409]": 51055,
+  "[XXXXX40]": 50337,
+  "[XXXXX410]": 50137,
+  "[XXXXX411]": 50791,
+  "[XXXXX412]": 50136,
+  "[XXXXX413]": 50730,
+  "[XXXXX414]": 50267,
+  "[XXXXX415]": 50012,
+  "[XXXXX416]": 50681,
+  "[XXXXX417]": 50942,
+  "[XXXXX418]": 50720,
+  "[XXXXX419]": 50844,
+  "[XXXXX41]": 50387,
+  "[XXXXX420]": 50111,
+  "[XXXXX421]": 51003,
+  "[XXXXX422]": 50785,
+  "[XXXXX423]": 50149,
+  "[XXXXX424]": 50422,
+  "[XXXXX425]": 51086,
+  "[XXXXX426]": 50862,
+  "[XXXXX427]": 50576,
+  "[XXXXX428]": 51049,
+  "[XXXXX429]": 50630,
+  "[XXXXX42]": 50799,
+  "[XXXXX430]": 50289,
+  "[XXXXX431]": 50184,
+  "[XXXXX432]": 50319,
+  "[XXXXX433]": 51116,
+  "[XXXXX434]": 50519,
+  "[XXXXX435]": 50496,
+  "[XXXXX436]": 50517,
+  "[XXXXX437]": 50865,
+  "[XXXXX438]": 50737,
+  "[XXXXX439]": 50356,
+  "[XXXXX43]": 50359,
+  "[XXXXX440]": 50898,
+  "[XXXXX441]": 50113,
+  "[XXXXX442]": 50527,
+  "[XXXXX443]": 50762,
+  "[XXXXX444]": 50540,
+  "[XXXXX445]": 50925,
+  "[XXXXX446]": 50711,
+  "[XXXXX447]": 50143,
+  "[XXXXX448]": 51170,
+  "[XXXXX449]": 50413,
+  "[XXXXX44]": 50097,
+  "[XXXXX450]": 50375,
+  "[XXXXX451]": 50846,
+  "[XXXXX452]": 50217,
+  "[XXXXX453]": 50699,
+  "[XXXXX454]": 50412,
+  "[XXXXX455]": 50418,
+  "[XXXXX456]": 51143,
+  "[XXXXX457]": 51141,
+  "[XXXXX458]": 51157,
+  "[XXXXX459]": 50825,
+  "[XXXXX45]": 50203,
+  "[XXXXX460]": 50194,
+  "[XXXXX461]": 50148,
+  "[XXXXX462]": 50276,
+  "[XXXXX463]": 50271,
+  "[XXXXX464]": 50836,
+  "[XXXXX465]": 50854,
+  "[XXXXX466]": 50164,
+  "[XXXXX467]": 50484,
+  "[XXXXX468]": 51097,
+  "[XXXXX469]": 50182,
+  "[XXXXX46]": 50505,
+  "[XXXXX470]": 50670,
+  "[XXXXX471]": 50595,
+  "[XXXXX472]": 50237,
+  "[XXXXX473]": 50057,
+  "[XXXXX474]": 50431,
+  "[XXXXX475]": 50738,
+  "[XXXXX476]": 51145,
+  "[XXXXX477]": 50247,
+  "[XXXXX478]": 50029,
+  "[XXXXX479]": 50917,
+  "[XXXXX47]": 50579,
+  "[XXXXX480]": 50702,
+  "[XXXXX481]": 50831,
+  "[XXXXX482]": 50753,
+  "[XXXXX483]": 50598,
+  "[XXXXX484]": 51136,
+  "[XXXXX485]": 50092,
+  "[XXXXX486]": 50202,
+  "[XXXXX487]": 50106,
+  "[XXXXX488]": 50924,
+  "[XXXXX489]": 51113,
+  "[XXXXX48]": 50842,
+  "[XXXXX490]": 50761,
+  "[XXXXX491]": 50577,
+  "[XXXXX492]": 50692,
+  "[XXXXX493]": 51130,
+  "[XXXXX494]": 50932,
+  "[XXXXX495]": 50837,
+  "[XXXXX496]": 50893,
+  "[XXXXX497]": 50773,
+  "[XXXXX498]": 50360,
+  "[XXXXX499]": 50900,
+  "[XXXXX49]": 51062,
+  "[XXXXX4]": 50396,
+  "[XXXXX500]": 51034,
+  "[XXXXX501]": 50472,
+  "[XXXXX502]": 50660,
+  "[XXXXX503]": 50815,
+  "[XXXXX504]": 50939,
+  "[XXXXX505]": 50419,
+  "[XXXXX506]": 50324,
+  "[XXXXX507]": 50428,
+  "[XXXXX508]": 50274,
+  "[XXXXX509]": 50311,
+  "[XXXXX50]": 50459,
+  "[XXXXX510]": 50674,
+  "[XXXXX511]": 50580,
+  "[XXXXX512]": 50956,
+  "[XXXXX513]": 50165,
+  "[XXXXX514]": 50320,
+  "[XXXXX515]": 50648,
+  "[XXXXX516]": 50386,
+  "[XXXXX517]": 50058,
+  "[XXXXX518]": 51045,
+  "[XXXXX519]": 50103,
+  "[XXXXX51]": 50979,
+  "[XXXXX520]": 50530,
+  "[XXXXX521]": 50907,
+  "[XXXXX522]": 50260,
+  "[XXXXX523]": 50632,
+  "[XXXXX524]": 50926,
+  "[XXXXX525]": 50687,
+  "[XXXXX526]": 50160,
+  "[XXXXX527]": 51053,
+  "[XXXXX528]": 50652,
+  "[XXXXX529]": 51041,
+  "[XXXXX52]": 50272,
+  "[XXXXX530]": 51111,
+  "[XXXXX531]": 51009,
+  "[XXXXX532]": 51079,
+  "[XXXXX533]": 50487,
+  "[XXXXX534]": 51059,
+  "[XXXXX535]": 50335,
+  "[XXXXX536]": 50380,
+  "[XXXXX537]": 50301,
+  "[XXXXX538]": 51067,
+  "[XXXXX539]": 51052,
+  "[XXXXX53]": 51048,
+  "[XXXXX540]": 50822,
+  "[XXXXX541]": 51040,
+  "[XXXXX542]": 50490,
+  "[XXXXX543]": 50448,
+  "[XXXXX544]": 50812,
+  "[XXXXX545]": 50099,
+  "[XXXXX546]": 51199,
+  "[XXXXX547]": 50226,
+  "[XXXXX548]": 50538,
+  "[XXXXX549]": 50342,
+  "[XXXXX54]": 50701,
+  "[XXXXX550]": 50544,
+  "[XXXXX551]": 50398,
+  "[XXXXX552]": 51102,
+  "[XXXXX553]": 50919,
+  "[XXXXX554]": 50615,
+  "[XXXXX555]": 50769,
+  "[XXXXX556]": 50940,
+  "[XXXXX557]": 50070,
+  "[XXXXX558]": 50680,
+  "[XXXXX559]": 50611,
+  "[XXXXX55]": 50574,
+  "[XXXXX560]": 50381,
+  "[XXXXX561]": 50350,
+  "[XXXXX562]": 50175,
+  "[XXXXX563]": 50584,
+  "[XXXXX564]": 50703,
+  "[XXXXX565]": 50989,
+  "[XXXXX566]": 50877,
+  "[XXXXX567]": 51039,
+  "[XXXXX568]": 51018,
+  "[XXXXX569]": 50452,
+  "[XXXXX56]": 51099,
+  "[XXXXX570]": 50161,
+  "[XXXXX571]": 50921,
+  "[XXXXX572]": 50676,
+  "[XXXXX573]": 50326,
+  "[XXXXX574]": 50987,
+  "[XXXXX575]": 50361,
+  "[XXXXX576]": 50071,
+  "[XXXXX577]": 50803,
+  "[XXXXX578]": 50400,
+  "[XXXXX579]": 51091,
+  "[XXXXX57]": 50501,
+  "[XXXXX580]": 50887,
+  "[XXXXX581]": 50839,
+  "[XXXXX582]": 51138,
+  "[XXXXX583]": 50816,
+  "[XXXXX584]": 50339,
+  "[XXXXX585]": 50463,
+  "[XXXXX586]": 50399,
+  "[XXXXX587]": 51070,
+  "[XXXXX588]": 50457,
+  "[XXXXX589]": 50828,
+  "[XXXXX58]": 50183,
+  "[XXXXX590]": 50080,
+  "[XXXXX591]": 50550,
+  "[XXXXX592]": 50129,
+  "[XXXXX593]": 50273,
+  "[XXXXX594]": 50388,
+  "[XXXXX595]": 50491,
+  "[XXXXX596]": 50278,
+  "[XXXXX597]": 50011,
+  "[XXXXX598]": 50254,
+  "[XXXXX599]": 50302,
+  "[XXXXX59]": 50353,
+  "[XXXXX5]": 50010,
+  "[XXXXX600]": 50704,
+  "[XXXXX601]": 51118,
+  "[XXXXX602]": 50049,
+  "[XXXXX603]": 51190,
+  "[XXXXX604]": 51142,
+  "[XXXXX605]": 50707,
+  "[XXXXX606]": 50937,
+  "[XXXXX607]": 50875,
+  "[XXXXX608]": 50564,
+  "[XXXXX609]": 50345,
+  "[XXXXX60]": 50713,
+  "[XXXXX610]": 50949,
+  "[XXXXX611]": 50978,
+  "[XXXXX612]": 50330,
+  "[XXXXX613]": 51035,
+  "[XXXXX614]": 50402,
+  "[XXXXX615]": 50176,
+  "[XXXXX616]": 51133,
+  "[XXXXX617]": 50222,
+  "[XXXXX618]": 50118,
+  "[XXXXX619]": 50196,
+  "[XXXXX61]": 50298,
+  "[XXXXX620]": 50668,
+  "[XXXXX621]": 50462,
+  "[XXXXX622]": 50218,
+  "[XXXXX623]": 51101,
+  "[XXXXX624]": 50362,
+  "[XXXXX625]": 50779,
+  "[XXXXX626]": 50513,
+  "[XXXXX627]": 50746,
+  "[XXXXX628]": 50141,
+  "[XXXXX629]": 50479,
+  "[XXXXX62]": 50056,
+  "[XXXXX630]": 51180,
+  "[XXXXX631]": 50872,
+  "[XXXXX632]": 50315,
+  "[XXXXX633]": 50397,
+  "[XXXXX634]": 51165,
+  "[XXXXX635]": 50046,
+  "[XXXXX636]": 50795,
+  "[XXXXX637]": 50959,
+  "[XXXXX638]": 50786,
+  "[XXXXX639]": 50240,
+  "[XXXXX63]": 51061,
+  "[XXXXX640]": 50601,
+  "[XXXXX641]": 50904,
+  "[XXXXX642]": 50376,
+  "[XXXXX643]": 50663,
+  "[XXXXX644]": 50613,
+  "[XXXXX645]": 50467,
+  "[XXXXX646]": 50546,
+  "[XXXXX647]": 50465,
+  "[XXXXX648]": 50395,
+  "[XXXXX649]": 50287,
+  "[XXXXX64]": 51162,
+  "[XXXXX650]": 50474,
+  "[XXXXX651]": 50727,
+  "[XXXXX652]": 50243,
+  "[XXXXX653]": 51100,
+  "[XXXXX654]": 50705,
+  "[XXXXX655]": 51012,
+  "[XXXXX656]": 50447,
+  "[XXXXX657]": 50719,
+  "[XXXXX658]": 50712,
+  "[XXXXX659]": 50476,
+  "[XXXXX65]": 50587,
+  "[XXXXX660]": 51054,
+  "[XXXXX661]": 51166,
+  "[XXXXX662]": 50494,
+  "[XXXXX663]": 50230,
+  "[XXXXX664]": 50621,
+  "[XXXXX665]": 50809,
+  "[XXXXX666]": 50265,
+  "[XXXXX667]": 50645,
+  "[XXXXX668]": 50817,
+  "[XXXXX669]": 50030,
+  "[XXXXX66]": 51029,
+  "[XXXXX670]": 51004,
+  "[XXXXX671]": 50685,
+  "[XXXXX672]": 50625,
+  "[XXXXX673]": 50890,
+  "[XXXXX674]": 50383,
+  "[XXXXX675]": 50929,
+  "[XXXXX676]": 50116,
+  "[XXXXX677]": 51072,
+  "[XXXXX678]": 51126,
+  "[XXXXX679]": 50755,
+  "[XXXXX67]": 50717,
+  "[XXXXX680]": 50303,
+  "[XXXXX681]": 50504,
+  "[XXXXX682]": 51075,
+  "[XXXXX683]": 50261,
+  "[XXXXX684]": 50861,
+  "[XXXXX685]": 50306,
+  "[XXXXX686]": 50016,
+  "[XXXXX687]": 50101,
+  "[XXXXX688]": 51098,
+  "[XXXXX689]": 50827,
+  "[XXXXX68]": 50863,
+  "[XXXXX690]": 50640,
+  "[XXXXX691]": 50031,
+  "[XXXXX692]": 50768,
+  "[XXXXX693]": 50013,
+  "[XXXXX694]": 51032,
+  "[XXXXX695]": 50166,
+  "[XXXXX696]": 50127,
+  "[XXXXX697]": 50414,
+  "[XXXXX698]": 50742,
+  "[XXXXX699]": 51042,
+  "[XXXXX69]": 51112,
+  "[XXXXX6]": 50593,
+  "[XXXXX700]": 50292,
+  "[XXXXX701]": 50174,
+  "[XXXXX702]": 50547,
+  "[XXXXX703]": 50498,
+  "[XXXXX704]": 51078,
+  "[XXXXX705]": 50133,
+  "[XXXXX706]": 50041,
+  "[XXXXX707]": 51181,
+  "[XXXXX708]": 50585,
+  "[XXXXX709]": 50776,
+  "[XXXXX70]": 50053,
+  "[XXXXX710]": 50336,
+  "[XXXXX711]": 50765,
+  "[XXXXX712]": 50224,
+  "[XXXXX713]": 50599,
+  "[XXXXX714]": 50207,
+  "[XXXXX715]": 51043,
+  "[XXXXX716]": 51090,
+  "[XXXXX717]": 50006,
+  "[XXXXX718]": 50901,
+  "[XXXXX719]": 51001,
+  "[XXXXX71]": 50954,
+  "[XXXXX720]": 50646,
+  "[XXXXX721]": 50075,
+  "[XXXXX722]": 51120,
+  "[XXXXX723]": 50215,
+  "[XXXXX724]": 50415,
+  "[XXXXX725]": 50154,
+  "[XXXXX726]": 50935,
+  "[XXXXX727]": 50545,
+  "[XXXXX728]": 51085,
+  "[XXXXX729]": 50256,
+  "[XXXXX72]": 50363,
+  "[XXXXX730]": 50700,
+  "[XXXXX731]": 50262,
+  "[XXXXX732]": 50930,
+  "[XXXXX733]": 50333,
+  "[XXXXX734]": 50884,
+  "[XXXXX735]": 51030,
+  "[XXXXX736]": 50231,
+  "[XXXXX737]": 50405,
+  "[XXXXX738]": 50962,
+  "[XXXXX739]": 50458,
+  "[XXXXX73]": 50019,
+  "[XXXXX740]": 50878,
+  "[XXXXX741]": 50910,
+  "[XXXXX742]": 50170,
+  "[XXXXX743]": 50718,
+  "[XXXXX744]": 50616,
+  "[XXXXX745]": 50358,
+  "[XXXXX746]": 50152,
+  "[XXXXX747]": 50525,
+  "[XXXXX748]": 51167,
+  "[XXXXX749]": 50653,
+  "[XXXXX74]": 50952,
+  "[XXXXX750]": 50500,
+  "[XXXXX751]": 50446,
+  "[XXXXX752]": 50995,
+  "[XXXXX753]": 50945,
+  "[XXXXX754]": 51173,
+  "[XXXXX755]": 50823,
+  "[XXXXX756]": 51060,
+  "[XXXXX757]": 50748,
+  "[XXXXX758]": 50020,
+  "[XXXXX759]": 50197,
+  "[XXXXX75]": 50502,
+  "[XXXXX760]": 50291,
+  "[XXXXX761]": 50821,
+  "[XXXXX762]": 50190,
+  "[XXXXX763]": 50745,
+  "[XXXXX764]": 50778,
+  "[XXXXX765]": 50556,
+  "[XXXXX766]": 51161,
+  "[XXXXX767]": 50466,
+  "[XXXXX768]": 50792,
+  "[XXXXX769]": 50208,
+  "[XXXXX76]": 50169,
+  "[XXXXX770]": 50647,
+  "[XXXXX771]": 50610,
+  "[XXXXX772]": 51140,
+  "[XXXXX773]": 50441,
+  "[XXXXX774]": 50870,
+  "[XXXXX775]": 50368,
+  "[XXXXX776]": 50026,
+  "[XXXXX777]": 50677,
+  "[XXXXX778]": 51168,
+  "[XXXXX779]": 50481,
+  "[XXXXX77]": 50515,
+  "[XXXXX780]": 50225,
+  "[XXXXX781]": 50408,
+  "[XXXXX782]": 50090,
+  "[XXXXX783]": 50951,
+  "[XXXXX784]": 50015,
+  "[XXXXX785]": 50658,
+  "[XXXXX786]": 50617,
+  "[XXXXX787]": 50721,
+  "[XXXXX788]": 51084,
+  "[XXXXX789]": 50830,
+  "[XXXXX78]": 50100,
+  "[XXXXX790]": 50606,
+  "[XXXXX791]": 50124,
+  "[XXXXX792]": 50078,
+  "[XXXXX793]": 51188,
+  "[XXXXX794]": 50750,
+  "[XXXXX795]": 50138,
+  "[XXXXX796]": 50239,
+  "[XXXXX797]": 50385,
+  "[XXXXX798]": 50780,
+  "[XXXXX799]": 50683,
+  "[XXXXX79]": 50436,
+  "[XXXXX7]": 50211,
+  "[XXXXX800]": 51185,
+  "[XXXXX801]": 50250,
+  "[XXXXX802]": 50456,
+  "[XXXXX803]": 50508,
+  "[XXXXX804]": 51194,
+  "[XXXXX805]": 50021,
+  "[XXXXX806]": 50307,
+  "[XXXXX807]": 50199,
+  "[XXXXX808]": 51129,
+  "[XXXXX809]": 50686,
+  "[XXXXX80]": 50370,
+  "[XXXXX810]": 50343,
+  "[XXXXX811]": 50614,
+  "[XXXXX812]": 50636,
+  "[XXXXX813]": 51198,
+  "[XXXXX814]": 50788,
+  "[XXXXX815]": 50120,
+  "[XXXXX816]": 50135,
+  "[XXXXX817]": 50293,
+  "[XXXXX818]": 50153,
+  "[XXXXX819]": 50516,
+  "[XXXXX81]": 50581,
+  "[XXXXX820]": 50586,
+  "[XXXXX821]": 50509,
+  "[XXXXX822]": 50220,
+  "[XXXXX823]": 51068,
+  "[XXXXX824]": 50946,
+  "[XXXXX825]": 50965,
+  "[XXXXX826]": 50032,
+  "[XXXXX827]": 50156,
+  "[XXXXX828]": 50449,
+  "[XXXXX829]": 50531,
+  "[XXXXX82]": 51164,
+  "[XXXXX830]": 50486,
+  "[XXXXX831]": 50357,
+  "[XXXXX832]": 51022,
+  "[XXXXX833]": 50633,
+  "[XXXXX834]": 50754,
+  "[XXXXX835]": 51134,
+  "[XXXXX836]": 50193,
+  "[XXXXX837]": 51088,
+  "[XXXXX838]": 50722,
+  "[XXXXX839]": 50756,
+  "[XXXXX83]": 50977,
+  "[XXXXX840]": 50022,
+  "[XXXXX841]": 51186,
+  "[XXXXX842]": 50575,
+  "[XXXXX843]": 50079,
+  "[XXXXX844]": 50644,
+  "[XXXXX845]": 51033,
+  "[XXXXX846]": 50454,
+  "[XXXXX847]": 50095,
+  "[XXXXX848]": 50902,
+  "[XXXXX849]": 50597,
+  "[XXXXX84]": 50167,
+  "[XXXXX850]": 51051,
+  "[XXXXX851]": 50696,
+  "[XXXXX852]": 50966,
+  "[XXXXX853]": 50034,
+  "[XXXXX854]": 50889,
+  "[XXXXX855]": 50843,
+  "[XXXXX856]": 50963,
+  "[XXXXX857]": 50227,
+  "[XXXXX858]": 51058,
+  "[XXXXX859]": 50850,
+  "[XXXXX85]": 50192,
+  "[XXXXX860]": 50228,
+  "[XXXXX861]": 50570,
+  "[XXXXX862]": 50488,
+  "[XXXXX863]": 50539,
+  "[XXXXX864]": 51182,
+  "[XXXXX865]": 50990,
+  "[XXXXX866]": 50542,
+  "[XXXXX867]": 51069,
+  "[XXXXX868]": 50480,
+  "[XXXXX869]": 50847,
+  "[XXXXX86]": 50874,
+  "[XXXXX870]": 50308,
+  "[XXXXX871]": 50510,
+  "[XXXXX872]": 50423,
+  "[XXXXX873]": 50086,
+  "[XXXXX874]": 50591,
+  "[XXXXX875]": 50728,
+  "[XXXXX876]": 50372,
+  "[XXXXX877]": 50903,
+  "[XXXXX878]": 50868,
+  "[XXXXX879]": 50763,
+  "[XXXXX87]": 50571,
+  "[XXXXX880]": 50096,
+  "[XXXXX881]": 51150,
+  "[XXXXX882]": 50460,
+  "[XXXXX883]": 51087,
+  "[XXXXX884]": 51093,
+  "[XXXXX885]": 50295,
+  "[XXXXX886]": 51037,
+  "[XXXXX887]": 51171,
+  "[XXXXX888]": 50794,
+  "[XXXXX889]": 50628,
+  "[XXXXX88]": 50520,
+  "[XXXXX890]": 51172,
+  "[XXXXX891]": 51046,
+  "[XXXXX892]": 50918,
+  "[XXXXX893]": 50998,
+  "[XXXXX894]": 50371,
+  "[XXXXX895]": 51155,
+  "[XXXXX896]": 50866,
+  "[XXXXX897]": 50229,
+  "[XXXXX898]": 51057,
+  "[XXXXX899]": 50867,
+  "[XXXXX89]": 50537,
+  "[XXXXX8]": 50784,
+  "[XXXXX900]": 50739,
+  "[XXXXX901]": 51080,
+  "[XXXXX902]": 50038,
+  "[XXXXX903]": 50321,
+  "[XXXXX904]": 50774,
+  "[XXXXX905]": 50974,
+  "[XXXXX906]": 50920,
+  "[XXXXX907]": 50469,
+  "[XXXXX908]": 51122,
+  "[XXXXX909]": 51092,
+  "[XXXXX90]": 50514,
+  "[XXXXX910]": 50798,
+  "[XXXXX911]": 50245,
+  "[XXXXX912]": 50367,
+  "[XXXXX913]": 50618,
+  "[XXXXX914]": 50072,
+  "[XXXXX915]": 50450,
+  "[XXXXX916]": 51189,
+  "[XXXXX917]": 50485,
+  "[XXXXX918]": 50283,
+  "[XXXXX919]": 50845,
+  "[XXXXX91]": 50968,
+  "[XXXXX920]": 50429,
+  "[XXXXX921]": 50364,
+  "[XXXXX922]": 50782,
+  "[XXXXX923]": 50534,
+  "[XXXXX924]": 50059,
+  "[XXXXX925]": 50102,
+  "[XXXXX926]": 50185,
+  "[XXXXX927]": 50634,
+  "[XXXXX928]": 50567,
+  "[XXXXX929]": 50895,
+  "[XXXXX92]": 50210,
+  "[XXXXX930]": 50561,
+  "[XXXXX931]": 51021,
+  "[XXXXX932]": 50107,
+  "[XXXXX933]": 50407,
+  "[XXXXX934]": 50654,
+  "[XXXXX935]": 50268,
+  "[XXXXX936]": 51153,
+  "[XXXXX937]": 50552,
+  "[XXXXX938]": 50526,
+  "[XXXXX939]": 50322,
+  "[XXXXX93]": 50912,
+  "[XXXXX940]": 50296,
+  "[XXXXX941]": 50572,
+  "[XXXXX942]": 50393,
+  "[XXXXX943]": 50312,
+  "[XXXXX944]": 50592,
+  "[XXXXX945]": 50982,
+  "[XXXXX946]": 50089,
+  "[XXXXX947]": 50331,
+  "[XXXXX948]": 50279,
+  "[XXXXX949]": 51005,
+  "[XXXXX94]": 50198,
+  "[XXXXX950]": 50114,
+  "[XXXXX951]": 50074,
+  "[XXXXX952]": 50248,
+  "[XXXXX953]": 50857,
+  "[XXXXX954]": 50841,
+  "[XXXXX955]": 51065,
+  "[XXXXX956]": 50234,
+  "[XXXXX957]": 50834,
+  "[XXXXX958]": 50535,
+  "[XXXXX959]": 51109,
+  "[XXXXX95]": 50651,
+  "[XXXXX960]": 50797,
+  "[XXXXX961]": 50914,
+  "[XXXXX962]": 50112,
+  "[XXXXX963]": 50073,
+  "[XXXXX964]": 50559,
+  "[XXXXX965]": 50933,
+  "[XXXXX966]": 50619,
+  "[XXXXX967]": 51187,
+  "[XXXXX968]": 50327,
+  "[XXXXX969]": 50698,
+  "[XXXXX96]": 50420,
+  "[XXXXX970]": 50060,
+  "[XXXXX971]": 50432,
+  "[XXXXX972]": 50620,
+  "[XXXXX973]": 50693,
+  "[XXXXX974]": 50938,
+  "[XXXXX975]": 50983,
+  "[XXXXX976]": 50334,
+  "[XXXXX977]": 50438,
+  "[XXXXX978]": 51154,
+  "[XXXXX979]": 50964,
+  "[XXXXX97]": 50672,
+  "[XXXXX980]": 50511,
+  "[XXXXX981]": 50244,
+  "[XXXXX982]": 50266,
+  "[XXXXX983]": 50134,
+  "[XXXXX984]": 50338,
+  "[XXXXX985]": 51121,
+  "[XXXXX986]": 50323,
+  "[XXXXX987]": 50909,
+  "[XXXXX988]": 51000,
+  "[XXXXX989]": 50036,
+  "[XXXXX98]": 50787,
+  "[XXXXX990]": 50512,
+  "[XXXXX991]": 50191,
+  "[XXXXX992]": 50187,
+  "[XXXXX993]": 51156,
+  "[XXXXX994]": 51135,
+  "[XXXXX995]": 50355,
+  "[XXXXX996]": 51027,
+  "[XXXXX997]": 50297,
+  "[XXXXX998]": 50928,
+  "[XXXXX999]": 50697,
+  "[XXXXX99]": 50980,
+  "[XXXXX9]": 50961
+}
diff --git a/checkpoint-11500/config.json b/checkpoint-11500/config.json
new file mode 100644
index 0000000..000c292
--- /dev/null
+++ b/checkpoint-11500/config.json
@@ -0,0 +1,34 @@
+{
+  "activation_function": "gelu",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50000,
+  "dtype": "bfloat16",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50001,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 512,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": 3072,
+  "n_layer": 12,
+  "n_positions": 512,
+  "pad_token_id": 50002,
+  "prefix": "[CLS]",
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "vocab_size": 51200
+}
diff --git a/checkpoint-11500/generation_config.json b/checkpoint-11500/generation_config.json
new file mode 100644
index 0000000..4c122f0
--- /dev/null
+++ b/checkpoint-11500/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50000,
+  "eos_token_id": [
+    50001
+  ],
+  "pad_token_id": 50002,
+  "transformers_version": "4.56.2"
+}
diff --git a/checkpoint-11500/model.safetensors b/checkpoint-11500/model.safetensors
new file mode 100644
index 0000000..598ab3b
--- /dev/null
+++ b/checkpoint-11500/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9365fe8096b4252c032907dab509342198f89ea6c76eb23206eaf2020d2e0e39
+size 249556672
diff --git a/checkpoint-11500/rng_state.pth b/checkpoint-11500/rng_state.pth
new file mode 100644
index 0000000..823820e
--- /dev/null
+++ b/checkpoint-11500/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d18d47a3cea4d5716e2866bc80f872126102bd92f1f77078f8f477425eb99465
+size 14645
diff --git a/checkpoint-11500/special_tokens_map.json b/checkpoint-11500/special_tokens_map.json
new file mode 100644
index 0000000..c78a835
--- /dev/null
+++ b/checkpoint-11500/special_tokens_map.json
@@ -0,0 +1,1249 @@
+{
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/checkpoint-11500/spiece.model b/checkpoint-11500/spiece.model
new file mode 100644
index 0000000..85d6e93
--- /dev/null
+++ b/checkpoint-11500/spiece.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:762a1e078899c6ba7ef62ef873a57b860c51cc0518791854659b58b4c89742fe
+size 1170764
diff --git a/checkpoint-11500/tokenizer_config.json b/checkpoint-11500/tokenizer_config.json
new file mode 100644
index 0000000..b27d01f
--- /dev/null
+++ b/checkpoint-11500/tokenizer_config.json
@@ -0,0 +1,10825 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50000": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50001": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50002": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50003": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50004": {
+      "content": "[XXXXX160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50005": {
+      "content": "[XXXXX240]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50006": {
+      "content": "[XXXXX717]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50007": {
+      "content": "[XXXXX23]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50008": {
+      "content": "[XXXXX161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50009": {
+      "content": "[XXXXX1156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50010": {
+      "content": "[XXXXX5]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50011": {
+      "content": "[XXXXX597]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50012": {
+      "content": "[XXXXX415]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50013": {
+      "content": "[XXXXX693]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50014": {
+      "content": "[XXXXX1083]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50015": {
+      "content": "[XXXXX784]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50016": {
+      "content": "[XXXXX686]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50017": {
+      "content": "[XXXXX379]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50018": {
+      "content": "[XXXXX335]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50019": {
+      "content": "[XXXXX73]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50020": {
+      "content": "[XXXXX758]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50021": {
+      "content": "[XXXXX805]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50022": {
+      "content": "[XXXXX840]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50023": {
+      "content": "[XXXXX1037]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50024": {
+      "content": "[XXXXX235]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50025": {
+      "content": "[XXXXX1107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50026": {
+      "content": "[XXXXX776]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50027": {
+      "content": "[XXXXX286]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50028": {
+      "content": "[XXXXX396]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50029": {
+      "content": "[XXXXX478]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50030": {
+      "content": "[XXXXX669]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50031": {
+      "content": "[XXXXX691]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50032": {
+      "content": "[XXXXX826]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50033": {
+      "content": "[XXXXX1150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50034": {
+      "content": "[XXXXX853]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50035": {
+      "content": "[XXXXX130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50036": {
+      "content": "[XXXXX989]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50037": {
+      "content": "[XXXXX249]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50038": {
+      "content": "[XXXXX902]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50039": {
+      "content": "[XXXXX1169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50040": {
+      "content": "[XXXXX260]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50041": {
+      "content": "[XXXXX706]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50042": {
+      "content": "[XXXXX146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50043": {
+      "content": "[XXXXX198]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50044": {
+      "content": "[XXXXX303]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50045": {
+      "content": "[XXXXX1192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50046": {
+      "content": "[XXXXX635]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50047": {
+      "content": "[XXXXX271]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50048": {
+      "content": "[XXXXX1023]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50049": {
+      "content": "[XXXXX602]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50050": {
+      "content": "[XXXXX291]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50051": {
+      "content": "[XXXXX190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50052": {
+      "content": "[XXXXX1055]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50053": {
+      "content": "[XXXXX70]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50054": {
+      "content": "[XXXXX178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50055": {
+      "content": "[XXXXX318]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50056": {
+      "content": "[XXXXX62]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50057": {
+      "content": "[XXXXX473]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50058": {
+      "content": "[XXXXX517]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50059": {
+      "content": "[XXXXX924]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50060": {
+      "content": "[XXXXX970]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50061": {
+      "content": "[XXXXX1033]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50062": {
+      "content": "[XXXXX110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50063": {
+      "content": "[XXXXX1151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50064": {
+      "content": "[XXXXX1189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50065": {
+      "content": "[XXXXX1095]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50066": {
+      "content": "[XXXXX148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50067": {
+      "content": "[XXXXX337]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50068": {
+      "content": "[XXXXX245]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50069": {
+      "content": "[XXXXX407]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50070": {
+      "content": "[XXXXX557]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50071": {
+      "content": "[XXXXX576]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50072": {
+      "content": "[XXXXX914]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50073": {
+      "content": "[XXXXX963]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50074": {
+      "content": "[XXXXX951]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50075": {
+      "content": "[XXXXX721]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50076": {
+      "content": "[XXXXX1174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50077": {
+      "content": "[XXXXX3]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50078": {
+      "content": "[XXXXX792]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50079": {
+      "content": "[XXXXX843]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50080": {
+      "content": "[XXXXX590]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50081": {
+      "content": "[XXXXX118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50082": {
+      "content": "[XXXXX280]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50083": {
+      "content": "[XXXXX1119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50084": {
+      "content": "[XXXXX1025]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50085": {
+      "content": "[XXXXX140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50086": {
+      "content": "[XXXXX873]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50087": {
+      "content": "[XXXXX103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50088": {
+      "content": "[XXXXX307]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50089": {
+      "content": "[XXXXX946]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50090": {
+      "content": "[XXXXX782]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50091": {
+      "content": "[XXXXX100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50092": {
+      "content": "[XXXXX485]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50093": {
+      "content": "[XXXXX151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50094": {
+      "content": "[XXXXX213]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50095": {
+      "content": "[XXXXX847]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50096": {
+      "content": "[XXXXX880]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50097": {
+      "content": "[XXXXX44]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50098": {
+      "content": "[XXXXX1031]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50099": {
+      "content": "[XXXXX545]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50100": {
+      "content": "[XXXXX78]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50101": {
+      "content": "[XXXXX687]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50102": {
+      "content": "[XXXXX925]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50103": {
+      "content": "[XXXXX519]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50104": {
+      "content": "[XXXXX1191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50105": {
+      "content": "[XXXXX13]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50106": {
+      "content": "[XXXXX487]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50107": {
+      "content": "[XXXXX932]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50108": {
+      "content": "[XXXXX119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50109": {
+      "content": "[XXXXX170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50110": {
+      "content": "[XXXXX254]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50111": {
+      "content": "[XXXXX420]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50112": {
+      "content": "[XXXXX962]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50113": {
+      "content": "[XXXXX441]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50114": {
+      "content": "[XXXXX950]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50115": {
+      "content": "[XXXXX18]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50116": {
+      "content": "[XXXXX676]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50117": {
+      "content": "[XXXXX1133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50118": {
+      "content": "[XXXXX618]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50119": {
+      "content": "[XXXXX374]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50120": {
+      "content": "[XXXXX815]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50121": {
+      "content": "[XXXXX1058]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50122": {
+      "content": "[XXXXX1108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50123": {
+      "content": "[XXXXX1144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50124": {
+      "content": "[XXXXX791]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50125": {
+      "content": "[XXXXX259]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50126": {
+      "content": "[XXXXX1074]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50127": {
+      "content": "[XXXXX696]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50128": {
+      "content": "[XXXXX1168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50129": {
+      "content": "[XXXXX592]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50130": {
+      "content": "[XXXXX127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50131": {
+      "content": "[XXXXX136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50132": {
+      "content": "[XXXXX237]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50133": {
+      "content": "[XXXXX705]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50134": {
+      "content": "[XXXXX983]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50135": {
+      "content": "[XXXXX816]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50136": {
+      "content": "[XXXXX412]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50137": {
+      "content": "[XXXXX410]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50138": {
+      "content": "[XXXXX795]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50139": {
+      "content": "[XXXXX101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50140": {
+      "content": "[XXXXX171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50141": {
+      "content": "[XXXXX628]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50142": {
+      "content": "[XXXXX1038]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50143": {
+      "content": "[XXXXX447]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50144": {
+      "content": "[XXXXX1043]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50145": {
+      "content": "[XXXXX147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50146": {
+      "content": "[XXXXX1112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50147": {
+      "content": "[XXXXX186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50148": {
+      "content": "[XXXXX461]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50149": {
+      "content": "[XXXXX423]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50150": {
+      "content": "[XXXXX26]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50151": {
+      "content": "[XXXXX227]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50152": {
+      "content": "[XXXXX746]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50153": {
+      "content": "[XXXXX818]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50154": {
+      "content": "[XXXXX725]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50155": {
+      "content": "[XXXXX400]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50156": {
+      "content": "[XXXXX827]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50157": {
+      "content": "[XXXXX1020]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50158": {
+      "content": "[XXXXX1060]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50159": {
+      "content": "[XXXXX195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50160": {
+      "content": "[XXXXX526]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50161": {
+      "content": "[XXXXX570]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50162": {
+      "content": "[XXXXX174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50163": {
+      "content": "[XXXXX333]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50164": {
+      "content": "[XXXXX466]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50165": {
+      "content": "[XXXXX513]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50166": {
+      "content": "[XXXXX695]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50167": {
+      "content": "[XXXXX84]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50168": {
+      "content": "[XXXXX1080]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50169": {
+      "content": "[XXXXX76]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50170": {
+      "content": "[XXXXX742]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50171": {
+      "content": "[XXXXX1008]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50172": {
+      "content": "[XXXXX1123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50173": {
+      "content": "[XXXXX1145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50174": {
+      "content": "[XXXXX701]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50175": {
+      "content": "[XXXXX562]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50176": {
+      "content": "[XXXXX615]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50177": {
+      "content": "[XXXXX389]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50178": {
+      "content": "[XXXXX267]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50179": {
+      "content": "[XXXXX323]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50180": {
+      "content": "[XXXXX346]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50181": {
+      "content": "[XXXXX287]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50182": {
+      "content": "[XXXXX469]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50183": {
+      "content": "[XXXXX58]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50184": {
+      "content": "[XXXXX431]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50185": {
+      "content": "[XXXXX926]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50186": {
+      "content": "[XXXXX1182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50187": {
+      "content": "[XXXXX992]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50188": {
+      "content": "[XXXXX185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50189": {
+      "content": "[XXXXX352]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50190": {
+      "content": "[XXXXX762]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50191": {
+      "content": "[XXXXX991]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50192": {
+      "content": "[XXXXX85]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50193": {
+      "content": "[XXXXX836]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50194": {
+      "content": "[XXXXX460]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50195": {
+      "content": "[XXXXX272]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50196": {
+      "content": "[XXXXX619]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50197": {
+      "content": "[XXXXX759]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50198": {
+      "content": "[XXXXX94]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50199": {
+      "content": "[XXXXX807]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50200": {
+      "content": "[XXXXX299]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50201": {
+      "content": "[XXXXX187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50202": {
+      "content": "[XXXXX486]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50203": {
+      "content": "[XXXXX45]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50204": {
+      "content": "[XXXXX1036]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50205": {
+      "content": "[XXXXX354]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50206": {
+      "content": "[XXXXX386]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50207": {
+      "content": "[XXXXX714]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50208": {
+      "content": "[XXXXX769]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50209": {
+      "content": "[XXXXX304]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50210": {
+      "content": "[XXXXX92]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50211": {
+      "content": "[XXXXX7]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50212": {
+      "content": "[XXXXX31]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50213": {
+      "content": "[XXXXX102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50214": {
+      "content": "[XXXXX163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50215": {
+      "content": "[XXXXX723]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50216": {
+      "content": "[XXXXX1042]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50217": {
+      "content": "[XXXXX452]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50218": {
+      "content": "[XXXXX622]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50219": {
+      "content": "[XXXXX1056]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50220": {
+      "content": "[XXXXX822]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50221": {
+      "content": "[XXXXX125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50222": {
+      "content": "[XXXXX617]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50223": {
+      "content": "[XXXXX34]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50224": {
+      "content": "[XXXXX712]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50225": {
+      "content": "[XXXXX780]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50226": {
+      "content": "[XXXXX547]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50227": {
+      "content": "[XXXXX857]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50228": {
+      "content": "[XXXXX860]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50229": {
+      "content": "[XXXXX897]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50230": {
+      "content": "[XXXXX663]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50231": {
+      "content": "[XXXXX736]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50232": {
+      "content": "[XXXXX202]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50233": {
+      "content": "[XXXXX1029]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50234": {
+      "content": "[XXXXX956]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50235": {
+      "content": "[XXXXX397]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50236": {
+      "content": "[XXXXX239]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50237": {
+      "content": "[XXXXX472]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50238": {
+      "content": "[XXXXX230]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50239": {
+      "content": "[XXXXX796]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50240": {
+      "content": "[XXXXX639]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50241": {
+      "content": "[XXXXX203]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50242": {
+      "content": "[XXXXX231]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50243": {
+      "content": "[XXXXX652]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50244": {
+      "content": "[XXXXX981]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50245": {
+      "content": "[XXXXX911]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50246": {
+      "content": "[XXXXX380]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50247": {
+      "content": "[XXXXX477]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50248": {
+      "content": "[XXXXX952]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50249": {
+      "content": "[XXXXX28]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50250": {
+      "content": "[XXXXX801]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50251": {
+      "content": "[XXXXX1134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50252": {
+      "content": "[XXXXX1176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50253": {
+      "content": "[XXXXX180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50254": {
+      "content": "[XXXXX598]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50255": {
+      "content": "[XXXXX365]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50256": {
+      "content": "[XXXXX729]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50257": {
+      "content": "[XXXXX214]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50258": {
+      "content": "[XXXXX1117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50259": {
+      "content": "[XXXXX278]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50260": {
+      "content": "[XXXXX522]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50261": {
+      "content": "[XXXXX683]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50262": {
+      "content": "[XXXXX731]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50263": {
+      "content": "[XXXXX312]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "[XXXXX1178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50265": {
+      "content": "[XXXXX666]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50266": {
+      "content": "[XXXXX982]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50267": {
+      "content": "[XXXXX414]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50268": {
+      "content": "[XXXXX935]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50269": {
+      "content": "[XXXXX1089]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50270": {
+      "content": "[XXXXX236]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50271": {
+      "content": "[XXXXX463]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50272": {
+      "content": "[XXXXX52]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50273": {
+      "content": "[XXXXX593]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50274": {
+      "content": "[XXXXX508]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50275": {
+      "content": "[XXXXX1125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50276": {
+      "content": "[XXXXX462]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50277": {
+      "content": "[XXXXX32]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50278": {
+      "content": "[XXXXX596]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50279": {
+      "content": "[XXXXX948]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50280": {
+      "content": "[XXXXX150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50281": {
+      "content": "[XXXXX322]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50282": {
+      "content": "[XXXXX390]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50283": {
+      "content": "[XXXXX918]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50284": {
+      "content": "[XXXXX157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50285": {
+      "content": "[XXXXX310]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50286": {
+      "content": "[XXXXX392]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50287": {
+      "content": "[XXXXX649]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50288": {
+      "content": "[XXXXX158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50289": {
+      "content": "[XXXXX430]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50290": {
+      "content": "[XXXXX384]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50291": {
+      "content": "[XXXXX760]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50292": {
+      "content": "[XXXXX700]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50293": {
+      "content": "[XXXXX817]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50294": {
+      "content": "[XXXXX115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50295": {
+      "content": "[XXXXX885]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50296": {
+      "content": "[XXXXX940]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50297": {
+      "content": "[XXXXX997]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50298": {
+      "content": "[XXXXX61]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50299": {
+      "content": "[XXXXX209]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50300": {
+      "content": "[XXXXX316]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50301": {
+      "content": "[XXXXX537]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50302": {
+      "content": "[XXXXX599]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50303": {
+      "content": "[XXXXX680]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50304": {
+      "content": "[XXXXX135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50305": {
+      "content": "[XXXXX39]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50306": {
+      "content": "[XXXXX685]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50307": {
+      "content": "[XXXXX806]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50308": {
+      "content": "[XXXXX870]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50309": {
+      "content": "[XXXXX1096]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50310": {
+      "content": "[XXXXX366]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50311": {
+      "content": "[XXXXX509]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50312": {
+      "content": "[XXXXX943]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50313": {
+      "content": "[XXXXX292]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50314": {
+      "content": "[XXXXX367]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50315": {
+      "content": "[XXXXX632]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50316": {
+      "content": "[XXXXX1136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50317": {
+      "content": "[XXXXX156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50318": {
+      "content": "[XXXXX1100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50319": {
+      "content": "[XXXXX432]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50320": {
+      "content": "[XXXXX514]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50321": {
+      "content": "[XXXXX903]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50322": {
+      "content": "[XXXXX939]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50323": {
+      "content": "[XXXXX986]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50324": {
+      "content": "[XXXXX506]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50325": {
+      "content": "[XXXXX10]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50326": {
+      "content": "[XXXXX573]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50327": {
+      "content": "[XXXXX968]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50328": {
+      "content": "[XXXXX1039]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50329": {
+      "content": "[XXXXX252]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50330": {
+      "content": "[XXXXX612]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50331": {
+      "content": "[XXXXX947]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50332": {
+      "content": "[XXXXX1162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50333": {
+      "content": "[XXXXX733]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50334": {
+      "content": "[XXXXX976]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50335": {
+      "content": "[XXXXX535]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50336": {
+      "content": "[XXXXX710]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50337": {
+      "content": "[XXXXX40]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50338": {
+      "content": "[XXXXX984]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50339": {
+      "content": "[XXXXX584]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50340": {
+      "content": "[XXXXX132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50341": {
+      "content": "[XXXXX1084]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50342": {
+      "content": "[XXXXX549]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50343": {
+      "content": "[XXXXX810]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50344": {
+      "content": "[XXXXX208]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50345": {
+      "content": "[XXXXX609]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50346": {
+      "content": "[XXXXX275]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50347": {
+      "content": "[XXXXX262]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50348": {
+      "content": "[XXXXX331]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50349": {
+      "content": "[XXXXX361]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50350": {
+      "content": "[XXXXX561]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50351": {
+      "content": "[XXXXX143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50352": {
+      "content": "[XXXXX1061]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50353": {
+      "content": "[XXXXX59]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50354": {
+      "content": "[XXXXX21]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50355": {
+      "content": "[XXXXX995]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50356": {
+      "content": "[XXXXX439]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50357": {
+      "content": "[XXXXX831]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50358": {
+      "content": "[XXXXX745]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50359": {
+      "content": "[XXXXX43]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50360": {
+      "content": "[XXXXX498]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50361": {
+      "content": "[XXXXX575]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50362": {
+      "content": "[XXXXX624]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50363": {
+      "content": "[XXXXX72]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50364": {
+      "content": "[XXXXX921]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50365": {
+      "content": "[XXXXX201]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50366": {
+      "content": "[XXXXX1171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50367": {
+      "content": "[XXXXX912]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50368": {
+      "content": "[XXXXX775]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50369": {
+      "content": "[XXXXX1094]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50370": {
+      "content": "[XXXXX80]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50371": {
+      "content": "[XXXXX894]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50372": {
+      "content": "[XXXXX876]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50373": {
+      "content": "[XXXXX1143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50374": {
+      "content": "[XXXXX355]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50375": {
+      "content": "[XXXXX450]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50376": {
+      "content": "[XXXXX642]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50377": {
+      "content": "[XXXXX162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50378": {
+      "content": "[XXXXX394]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50379": {
+      "content": "[XXXXX296]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50380": {
+      "content": "[XXXXX536]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50381": {
+      "content": "[XXXXX560]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50382": {
+      "content": "[XXXXX373]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50383": {
+      "content": "[XXXXX674]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50384": {
+      "content": "[XXXXX1099]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50385": {
+      "content": "[XXXXX797]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50386": {
+      "content": "[XXXXX516]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50387": {
+      "content": "[XXXXX41]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50388": {
+      "content": "[XXXXX594]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50389": {
+      "content": "[XXXXX319]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50390": {
+      "content": "[XXXXX165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50391": {
+      "content": "[XXXXX344]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50392": {
+      "content": "[XXXXX1012]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50393": {
+      "content": "[XXXXX942]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50394": {
+      "content": "[XXXXX1071]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50395": {
+      "content": "[XXXXX648]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50396": {
+      "content": "[XXXXX4]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50397": {
+      "content": "[XXXXX633]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50398": {
+      "content": "[XXXXX551]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50399": {
+      "content": "[XXXXX586]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50400": {
+      "content": "[XXXXX578]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50401": {
+      "content": "[XXXXX348]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50402": {
+      "content": "[XXXXX614]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50403": {
+      "content": "[XXXXX33]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50404": {
+      "content": "[XXXXX1193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50405": {
+      "content": "[XXXXX737]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50406": {
+      "content": "[XXXXX233]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50407": {
+      "content": "[XXXXX933]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50408": {
+      "content": "[XXXXX781]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50409": {
+      "content": "[XXXXX189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50410": {
+      "content": "[XXXXX1006]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50411": {
+      "content": "[XXXXX219]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50412": {
+      "content": "[XXXXX454]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50413": {
+      "content": "[XXXXX449]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50414": {
+      "content": "[XXXXX697]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50415": {
+      "content": "[XXXXX724]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50416": {
+      "content": "[XXXXX224]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50417": {
+      "content": "[XXXXX1157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50418": {
+      "content": "[XXXXX455]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50419": {
+      "content": "[XXXXX505]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50420": {
+      "content": "[XXXXX96]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50421": {
+      "content": "[XXXXX182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50422": {
+      "content": "[XXXXX424]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50423": {
+      "content": "[XXXXX872]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50424": {
+      "content": "[XXXXX1163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50425": {
+      "content": "[XXXXX1081]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50426": {
+      "content": "[XXXXX1173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50427": {
+      "content": "[XXXXX172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50428": {
+      "content": "[XXXXX507]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50429": {
+      "content": "[XXXXX920]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50430": {
+      "content": "[XXXXX1126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50431": {
+      "content": "[XXXXX474]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50432": {
+      "content": "[XXXXX971]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50433": {
+      "content": "[XXXXX1049]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50434": {
+      "content": "[XXXXX1114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50435": {
+      "content": "[XXXXX1040]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50436": {
+      "content": "[XXXXX79]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50437": {
+      "content": "[XXXXX36]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50438": {
+      "content": "[XXXXX977]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50439": {
+      "content": "[XXXXX1129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50440": {
+      "content": "[XXXXX1063]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50441": {
+      "content": "[XXXXX773]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50442": {
+      "content": "[XXXXX16]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50443": {
+      "content": "[XXXXX113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50444": {
+      "content": "[XXXXX320]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50445": {
+      "content": "[XXXXX167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50446": {
+      "content": "[XXXXX751]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50447": {
+      "content": "[XXXXX656]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50448": {
+      "content": "[XXXXX543]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50449": {
+      "content": "[XXXXX828]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50450": {
+      "content": "[XXXXX915]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50451": {
+      "content": "[XXXXX1098]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50452": {
+      "content": "[XXXXX569]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50453": {
+      "content": "[XXXXX1166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50454": {
+      "content": "[XXXXX846]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50455": {
+      "content": "[XXXXX324]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50456": {
+      "content": "[XXXXX802]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50457": {
+      "content": "[XXXXX588]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50458": {
+      "content": "[XXXXX739]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50459": {
+      "content": "[XXXXX50]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50460": {
+      "content": "[XXXXX882]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50461": {
+      "content": "[XXXXX1054]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50462": {
+      "content": "[XXXXX621]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50463": {
+      "content": "[XXXXX585]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50464": {
+      "content": "[XXXXX121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50465": {
+      "content": "[XXXXX647]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50466": {
+      "content": "[XXXXX767]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50467": {
+      "content": "[XXXXX645]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50468": {
+      "content": "[XXXXX27]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50469": {
+      "content": "[XXXXX907]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50470": {
+      "content": "[XXXXX1109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50471": {
+      "content": "[XXXXX1147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50472": {
+      "content": "[XXXXX501]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50473": {
+      "content": "[XXXXX1164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50474": {
+      "content": "[XXXXX650]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50475": {
+      "content": "[XXXXX329]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50476": {
+      "content": "[XXXXX659]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50477": {
+      "content": "[XXXXX1158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50478": {
+      "content": "[XXXXX104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50479": {
+      "content": "[XXXXX629]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50480": {
+      "content": "[XXXXX868]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50481": {
+      "content": "[XXXXX779]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50482": {
+      "content": "[XXXXX17]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50483": {
+      "content": "[XXXXX377]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50484": {
+      "content": "[XXXXX467]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50485": {
+      "content": "[XXXXX917]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50486": {
+      "content": "[XXXXX830]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50487": {
+      "content": "[XXXXX533]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50488": {
+      "content": "[XXXXX862]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50489": {
+      "content": "[XXXXX1041]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50490": {
+      "content": "[XXXXX542]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50491": {
+      "content": "[XXXXX595]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50492": {
+      "content": "[XXXXX353]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50493": {
+      "content": "[XXXXX181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50494": {
+      "content": "[XXXXX662]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50495": {
+      "content": "[XXXXX1195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50496": {
+      "content": "[XXXXX435]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50497": {
+      "content": "[XXXXX1051]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50498": {
+      "content": "[XXXXX703]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50499": {
+      "content": "[XXXXX1140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50500": {
+      "content": "[XXXXX750]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50501": {
+      "content": "[XXXXX57]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50502": {
+      "content": "[XXXXX75]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50503": {
+      "content": "[XXXXX293]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50504": {
+      "content": "[XXXXX681]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50505": {
+      "content": "[XXXXX46]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50506": {
+      "content": "[XXXXX30]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50507": {
+      "content": "[XXXXX402]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50508": {
+      "content": "[XXXXX803]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50509": {
+      "content": "[XXXXX821]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50510": {
+      "content": "[XXXXX871]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50511": {
+      "content": "[XXXXX980]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50512": {
+      "content": "[XXXXX990]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50513": {
+      "content": "[XXXXX626]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50514": {
+      "content": "[XXXXX90]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50515": {
+      "content": "[XXXXX77]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50516": {
+      "content": "[XXXXX819]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50517": {
+      "content": "[XXXXX436]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50518": {
+      "content": "[XXXXX306]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50519": {
+      "content": "[XXXXX434]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50520": {
+      "content": "[XXXXX88]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50521": {
+      "content": "[XXXXX184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50522": {
+      "content": "[XXXXX290]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50523": {
+      "content": "[XXXXX216]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50524": {
+      "content": "[XXXXX176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50525": {
+      "content": "[XXXXX747]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50526": {
+      "content": "[XXXXX938]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50527": {
+      "content": "[XXXXX442]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50528": {
+      "content": "[XXXXX301]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50529": {
+      "content": "[XXXXX1015]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50530": {
+      "content": "[XXXXX520]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50531": {
+      "content": "[XXXXX829]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50532": {
+      "content": "[XXXXX106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50533": {
+      "content": "[XXXXX1048]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50534": {
+      "content": "[XXXXX923]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50535": {
+      "content": "[XXXXX958]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50536": {
+      "content": "[XXXXX1130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50537": {
+      "content": "[XXXXX89]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50538": {
+      "content": "[XXXXX548]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50539": {
+      "content": "[XXXXX863]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50540": {
+      "content": "[XXXXX444]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50541": {
+      "content": "[XXXXX1149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50542": {
+      "content": "[XXXXX866]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50543": {
+      "content": "[XXXXX109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50544": {
+      "content": "[XXXXX550]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50545": {
+      "content": "[XXXXX727]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50546": {
+      "content": "[XXXXX646]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50547": {
+      "content": "[XXXXX702]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50548": {
+      "content": "[XXXXX204]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50549": {
+      "content": "[XXXXX1000]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50550": {
+      "content": "[XXXXX591]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50551": {
+      "content": "[XXXXX1128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50552": {
+      "content": "[XXXXX937]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50553": {
+      "content": "[XXXXX141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50554": {
+      "content": "[XXXXX273]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50555": {
+      "content": "[XXXXX1183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50556": {
+      "content": "[XXXXX765]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50557": {
+      "content": "[XXXXX371]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50558": {
+      "content": "[XXXXX256]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50559": {
+      "content": "[XXXXX964]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50560": {
+      "content": "[XXXXX1148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50561": {
+      "content": "[XXXXX930]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50562": {
+      "content": "[XXXXX212]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50563": {
+      "content": "[XXXXX133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50564": {
+      "content": "[XXXXX608]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50565": {
+      "content": "[XXXXX281]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50566": {
+      "content": "[XXXXX1045]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50567": {
+      "content": "[XXXXX928]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50568": {
+      "content": "[XXXXX1154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50569": {
+      "content": "[XXXXX334]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50570": {
+      "content": "[XXXXX861]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50571": {
+      "content": "[XXXXX87]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50572": {
+      "content": "[XXXXX941]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50573": {
+      "content": "[XXXXX359]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50574": {
+      "content": "[XXXXX55]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50575": {
+      "content": "[XXXXX842]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50576": {
+      "content": "[XXXXX427]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50577": {
+      "content": "[XXXXX491]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50578": {
+      "content": "[XXXXX137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50579": {
+      "content": "[XXXXX47]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50580": {
+      "content": "[XXXXX511]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50581": {
+      "content": "[XXXXX81]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50582": {
+      "content": "[XXXXX139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50583": {
+      "content": "[XXXXX226]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50584": {
+      "content": "[XXXXX563]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50585": {
+      "content": "[XXXXX708]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50586": {
+      "content": "[XXXXX820]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50587": {
+      "content": "[XXXXX65]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50588": {
+      "content": "[XXXXX381]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50589": {
+      "content": "[XXXXX22]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50590": {
+      "content": "[XXXXX1064]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50591": {
+      "content": "[XXXXX874]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50592": {
+      "content": "[XXXXX944]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50593": {
+      "content": "[XXXXX6]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50594": {
+      "content": "[XXXXX313]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50595": {
+      "content": "[XXXXX471]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50596": {
+      "content": "[XXXXX1118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50597": {
+      "content": "[XXXXX849]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50598": {
+      "content": "[XXXXX483]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50599": {
+      "content": "[XXXXX713]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50600": {
+      "content": "[XXXXX222]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50601": {
+      "content": "[XXXXX640]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50602": {
+      "content": "[XXXXX12]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50603": {
+      "content": "[XXXXX285]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50604": {
+      "content": "[XXXXX327]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50605": {
+      "content": "[XXXXX378]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50606": {
+      "content": "[XXXXX790]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50607": {
+      "content": "[XXXXX1179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50608": {
+      "content": "[XXXXX15]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50609": {
+      "content": "[XXXXX229]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50610": {
+      "content": "[XXXXX771]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50611": {
+      "content": "[XXXXX559]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50612": {
+      "content": "[XXXXX253]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50613": {
+      "content": "[XXXXX644]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50614": {
+      "content": "[XXXXX811]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50615": {
+      "content": "[XXXXX554]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50616": {
+      "content": "[XXXXX744]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50617": {
+      "content": "[XXXXX786]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50618": {
+      "content": "[XXXXX913]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50619": {
+      "content": "[XXXXX966]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50620": {
+      "content": "[XXXXX972]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50621": {
+      "content": "[XXXXX664]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50622": {
+      "content": "[XXXXX1131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50623": {
+      "content": "[XXXXX1132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50624": {
+      "content": "[XXXXX376]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50625": {
+      "content": "[XXXXX672]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50626": {
+      "content": "[XXXXX1013]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50627": {
+      "content": "[XXXXX328]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50628": {
+      "content": "[XXXXX889]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50629": {
+      "content": "[XXXXX1141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50630": {
+      "content": "[XXXXX429]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50631": {
+      "content": "[XXXXX114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50632": {
+      "content": "[XXXXX523]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50633": {
+      "content": "[XXXXX833]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50634": {
+      "content": "[XXXXX927]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50635": {
+      "content": "[XXXXX297]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50636": {
+      "content": "[XXXXX812]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50637": {
+      "content": "[XXXXX1062]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50638": {
+      "content": "[XXXXX152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50639": {
+      "content": "[XXXXX1010]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50640": {
+      "content": "[XXXXX690]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50641": {
+      "content": "[XXXXX363]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50642": {
+      "content": "[XXXXX1103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50643": {
+      "content": "[XXXXX194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50644": {
+      "content": "[XXXXX844]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50645": {
+      "content": "[XXXXX667]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50646": {
+      "content": "[XXXXX720]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50647": {
+      "content": "[XXXXX770]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50648": {
+      "content": "[XXXXX515]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50649": {
+      "content": "[XXXXX196]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50650": {
+      "content": "[XXXXX283]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50651": {
+      "content": "[XXXXX95]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50652": {
+      "content": "[XXXXX528]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50653": {
+      "content": "[XXXXX749]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50654": {
+      "content": "[XXXXX934]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50655": {
+      "content": "[XXXXX1052]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50656": {
+      "content": "[XXXXX1188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50657": {
+      "content": "[XXXXX1001]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50658": {
+      "content": "[XXXXX785]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50659": {
+      "content": "[XXXXX393]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50660": {
+      "content": "[XXXXX502]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50661": {
+      "content": "[XXXXX404]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50662": {
+      "content": "[XXXXX129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50663": {
+      "content": "[XXXXX643]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50664": {
+      "content": "[XXXXX1086]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50665": {
+      "content": "[XXXXX1104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50666": {
+      "content": "[XXXXX326]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50667": {
+      "content": "[XXXXX330]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50668": {
+      "content": "[XXXXX620]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50669": {
+      "content": "[XXXXX193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50670": {
+      "content": "[XXXXX470]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50671": {
+      "content": "[XXXXX279]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50672": {
+      "content": "[XXXXX97]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50673": {
+      "content": "[XXXXX177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50674": {
+      "content": "[XXXXX510]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50675": {
+      "content": "[XXXXX225]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50676": {
+      "content": "[XXXXX572]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50677": {
+      "content": "[XXXXX777]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50678": {
+      "content": "[XXXXX1135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50679": {
+      "content": "[XXXXX1160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50680": {
+      "content": "[XXXXX558]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50681": {
+      "content": "[XXXXX416]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50682": {
+      "content": "[XXXXX246]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50683": {
+      "content": "[XXXXX799]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50684": {
+      "content": "[XXXXX153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50685": {
+      "content": "[XXXXX671]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50686": {
+      "content": "[XXXXX809]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50687": {
+      "content": "[XXXXX525]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50688": {
+      "content": "[XXXXX1004]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50689": {
+      "content": "[XXXXX1005]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50690": {
+      "content": "[XXXXX1194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50691": {
+      "content": "[XXXXX408]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50692": {
+      "content": "[XXXXX492]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50693": {
+      "content": "[XXXXX973]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50694": {
+      "content": "[XXXXX242]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50695": {
+      "content": "[XXXXX357]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50696": {
+      "content": "[XXXXX851]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50697": {
+      "content": "[XXXXX999]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50698": {
+      "content": "[XXXXX969]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50699": {
+      "content": "[XXXXX453]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50700": {
+      "content": "[XXXXX730]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50701": {
+      "content": "[XXXXX54]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50702": {
+      "content": "[XXXXX480]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50703": {
+      "content": "[XXXXX564]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50704": {
+      "content": "[XXXXX600]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50705": {
+      "content": "[XXXXX654]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50706": {
+      "content": "[XXXXX37]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50707": {
+      "content": "[XXXXX605]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50708": {
+      "content": "[XXXXX164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50709": {
+      "content": "[XXXXX395]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50710": {
+      "content": "[XXXXX401]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50711": {
+      "content": "[XXXXX446]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50712": {
+      "content": "[XXXXX658]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50713": {
+      "content": "[XXXXX60]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50714": {
+      "content": "[XXXXX107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50715": {
+      "content": "[XXXXX131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50716": {
+      "content": "[XXXXX387]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50717": {
+      "content": "[XXXXX67]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50718": {
+      "content": "[XXXXX743]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50719": {
+      "content": "[XXXXX657]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50720": {
+      "content": "[XXXXX418]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50721": {
+      "content": "[XXXXX787]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50722": {
+      "content": "[XXXXX838]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50723": {
+      "content": "[XXXXX298]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50724": {
+      "content": "[XXXXX1007]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50725": {
+      "content": "[XXXXX1027]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50726": {
+      "content": "[XXXXX1078]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50727": {
+      "content": "[XXXXX651]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50728": {
+      "content": "[XXXXX875]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50729": {
+      "content": "[XXXXX258]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50730": {
+      "content": "[XXXXX413]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50731": {
+      "content": "[XXXXX1092]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50732": {
+      "content": "[XXXXX124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50733": {
+      "content": "[XXXXX308]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50734": {
+      "content": "[XXXXX1085]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50735": {
+      "content": "[XXXXX1170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50736": {
+      "content": "[XXXXX38]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50737": {
+      "content": "[XXXXX438]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50738": {
+      "content": "[XXXXX475]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50739": {
+      "content": "[XXXXX900]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50740": {
+      "content": "[XXXXX263]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50741": {
+      "content": "[XXXXX166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50742": {
+      "content": "[XXXXX698]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50743": {
+      "content": "[XXXXX1127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50744": {
+      "content": "[XXXXX1181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50745": {
+      "content": "[XXXXX763]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50746": {
+      "content": "[XXXXX627]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50747": {
+      "content": "[XXXXX250]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50748": {
+      "content": "[XXXXX757]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50749": {
+      "content": "[XXXXX142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50750": {
+      "content": "[XXXXX794]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50751": {
+      "content": "[XXXXX128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50752": {
+      "content": "[XXXXX35]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50753": {
+      "content": "[XXXXX482]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50754": {
+      "content": "[XXXXX834]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50755": {
+      "content": "[XXXXX679]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50756": {
+      "content": "[XXXXX839]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50757": {
+      "content": "[XXXXX138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50758": {
+      "content": "[XXXXX1066]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50759": {
+      "content": "[XXXXX116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50760": {
+      "content": "[XXXXX317]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50761": {
+      "content": "[XXXXX490]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50762": {
+      "content": "[XXXXX443]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50763": {
+      "content": "[XXXXX879]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50764": {
+      "content": "[XXXXX1101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50765": {
+      "content": "[XXXXX711]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50766": {
+      "content": "[XXXXX123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50767": {
+      "content": "[XXXXX1152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50768": {
+      "content": "[XXXXX692]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50769": {
+      "content": "[XXXXX555]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50770": {
+      "content": "[XXXXX266]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50771": {
+      "content": "[XXXXX0]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50772": {
+      "content": "[XXXXX332]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50773": {
+      "content": "[XXXXX497]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50774": {
+      "content": "[XXXXX904]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50775": {
+      "content": "[XXXXX1019]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50776": {
+      "content": "[XXXXX709]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50777": {
+      "content": "[XXXXX351]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50778": {
+      "content": "[XXXXX764]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50779": {
+      "content": "[XXXXX625]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50780": {
+      "content": "[XXXXX798]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50781": {
+      "content": "[XXXXX205]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50782": {
+      "content": "[XXXXX922]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50783": {
+      "content": "[XXXXX1075]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50784": {
+      "content": "[XXXXX8]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50785": {
+      "content": "[XXXXX422]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50786": {
+      "content": "[XXXXX638]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50787": {
+      "content": "[XXXXX98]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50788": {
+      "content": "[XXXXX814]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50789": {
+      "content": "[XXXXX1057]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50790": {
+      "content": "[XXXXX1070]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50791": {
+      "content": "[XXXXX411]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50792": {
+      "content": "[XXXXX768]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50793": {
+      "content": "[XXXXX1165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50794": {
+      "content": "[XXXXX888]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50795": {
+      "content": "[XXXXX636]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50796": {
+      "content": "[XXXXX1047]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50797": {
+      "content": "[XXXXX960]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50798": {
+      "content": "[XXXXX910]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50799": {
+      "content": "[XXXXX42]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50800": {
+      "content": "[XXXXX238]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50801": {
+      "content": "[XXXXX383]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50802": {
+      "content": "[XXXXX1032]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50803": {
+      "content": "[XXXXX577]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50804": {
+      "content": "[XXXXX268]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50805": {
+      "content": "[XXXXX179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50806": {
+      "content": "[XXXXX1076]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50807": {
+      "content": "[XXXXX1167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50808": {
+      "content": "[XXXXX1172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50809": {
+      "content": "[XXXXX665]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50810": {
+      "content": "[XXXXX126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50811": {
+      "content": "[XXXXX347]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50812": {
+      "content": "[XXXXX544]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50813": {
+      "content": "[XXXXX1026]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50814": {
+      "content": "[XXXXX159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50815": {
+      "content": "[XXXXX503]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50816": {
+      "content": "[XXXXX583]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50817": {
+      "content": "[XXXXX668]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50818": {
+      "content": "[XXXXX1115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50819": {
+      "content": "[XXXXX112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50820": {
+      "content": "[XXXXX154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50821": {
+      "content": "[XXXXX761]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50822": {
+      "content": "[XXXXX540]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50823": {
+      "content": "[XXXXX755]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50824": {
+      "content": "[XXXXX255]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50825": {
+      "content": "[XXXXX459]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50826": {
+      "content": "[XXXXX1090]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50827": {
+      "content": "[XXXXX689]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50828": {
+      "content": "[XXXXX589]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50829": {
+      "content": "[XXXXX122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50830": {
+      "content": "[XXXXX789]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50831": {
+      "content": "[XXXXX481]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50832": {
+      "content": "[XXXXX1044]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50833": {
+      "content": "[XXXXX274]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50834": {
+      "content": "[XXXXX957]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50835": {
+      "content": "[XXXXX1121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50836": {
+      "content": "[XXXXX464]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50837": {
+      "content": "[XXXXX495]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50838": {
+      "content": "[XXXXX1097]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50839": {
+      "content": "[XXXXX581]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50840": {
+      "content": "[XXXXX200]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50841": {
+      "content": "[XXXXX954]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50842": {
+      "content": "[XXXXX48]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50843": {
+      "content": "[XXXXX855]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50844": {
+      "content": "[XXXXX419]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50845": {
+      "content": "[XXXXX919]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50846": {
+      "content": "[XXXXX451]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50847": {
+      "content": "[XXXXX869]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50848": {
+      "content": "[XXXXX1082]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50849": {
+      "content": "[XXXXX1185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50850": {
+      "content": "[XXXXX859]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50851": {
+      "content": "[XXXXX1139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50852": {
+      "content": "[XXXXX1072]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50853": {
+      "content": "[XXXXX220]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50854": {
+      "content": "[XXXXX465]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50855": {
+      "content": "[XXXXX1105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50856": {
+      "content": "[XXXXX1093]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50857": {
+      "content": "[XXXXX953]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50858": {
+      "content": "[XXXXX1187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50859": {
+      "content": "[XXXXX311]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50860": {
+      "content": "[XXXXX403]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50861": {
+      "content": "[XXXXX684]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50862": {
+      "content": "[XXXXX426]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50863": {
+      "content": "[XXXXX68]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50864": {
+      "content": "[XXXXX277]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50865": {
+      "content": "[XXXXX437]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50866": {
+      "content": "[XXXXX896]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50867": {
+      "content": "[XXXXX899]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50868": {
+      "content": "[XXXXX878]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50869": {
+      "content": "[XXXXX1073]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50870": {
+      "content": "[XXXXX774]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50871": {
+      "content": "[XXXXX315]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50872": {
+      "content": "[XXXXX631]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50873": {
+      "content": "[XXXXX223]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50874": {
+      "content": "[XXXXX86]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50875": {
+      "content": "[XXXXX607]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50876": {
+      "content": "[XXXXX149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50877": {
+      "content": "[XXXXX566]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50878": {
+      "content": "[XXXXX740]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50879": {
+      "content": "[XXXXX265]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50880": {
+      "content": "[XXXXX399]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50881": {
+      "content": "[XXXXX1053]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50882": {
+      "content": "[XXXXX1077]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50883": {
+      "content": "[XXXXX336]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50884": {
+      "content": "[XXXXX734]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50885": {
+      "content": "[XXXXX289]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50886": {
+      "content": "[XXXXX221]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50887": {
+      "content": "[XXXXX580]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50888": {
+      "content": "[XXXXX406]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50889": {
+      "content": "[XXXXX854]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50890": {
+      "content": "[XXXXX673]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50891": {
+      "content": "[XXXXX1146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50892": {
+      "content": "[XXXXX29]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50893": {
+      "content": "[XXXXX496]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50894": {
+      "content": "[XXXXX241]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50895": {
+      "content": "[XXXXX929]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50896": {
+      "content": "[XXXXX169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50897": {
+      "content": "[XXXXX1153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50898": {
+      "content": "[XXXXX440]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50899": {
+      "content": "[XXXXX385]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50900": {
+      "content": "[XXXXX499]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50901": {
+      "content": "[XXXXX718]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50902": {
+      "content": "[XXXXX848]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50903": {
+      "content": "[XXXXX877]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50904": {
+      "content": "[XXXXX641]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50905": {
+      "content": "[XXXXX1137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50906": {
+      "content": "[XXXXX269]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50907": {
+      "content": "[XXXXX521]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50908": {
+      "content": "[XXXXX234]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50909": {
+      "content": "[XXXXX987]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50910": {
+      "content": "[XXXXX741]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50911": {
+      "content": "[XXXXX349]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50912": {
+      "content": "[XXXXX93]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50913": {
+      "content": "[XXXXX247]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50914": {
+      "content": "[XXXXX961]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50915": {
+      "content": "[XXXXX1120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50916": {
+      "content": "[XXXXX369]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50917": {
+      "content": "[XXXXX479]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50918": {
+      "content": "[XXXXX892]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50919": {
+      "content": "[XXXXX553]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50920": {
+      "content": "[XXXXX906]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50921": {
+      "content": "[XXXXX571]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50922": {
+      "content": "[XXXXX1046]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50923": {
+      "content": "[XXXXX206]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50924": {
+      "content": "[XXXXX488]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50925": {
+      "content": "[XXXXX445]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50926": {
+      "content": "[XXXXX524]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50927": {
+      "content": "[XXXXX228]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50928": {
+      "content": "[XXXXX998]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50929": {
+      "content": "[XXXXX675]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50930": {
+      "content": "[XXXXX732]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50931": {
+      "content": "[XXXXX1028]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50932": {
+      "content": "[XXXXX494]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50933": {
+      "content": "[XXXXX965]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50934": {
+      "content": "[XXXXX1021]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50935": {
+      "content": "[XXXXX726]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50936": {
+      "content": "[XXXXX168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50937": {
+      "content": "[XXXXX606]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50938": {
+      "content": "[XXXXX974]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50939": {
+      "content": "[XXXXX504]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50940": {
+      "content": "[XXXXX556]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50941": {
+      "content": "[XXXXX1159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50942": {
+      "content": "[XXXXX417]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50943": {
+      "content": "[XXXXX1175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50944": {
+      "content": "[XXXXX1142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50945": {
+      "content": "[XXXXX753]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50946": {
+      "content": "[XXXXX824]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50947": {
+      "content": "[XXXXX251]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50948": {
+      "content": "[XXXXX345]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50949": {
+      "content": "[XXXXX610]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50950": {
+      "content": "[XXXXX276]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50951": {
+      "content": "[XXXXX783]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50952": {
+      "content": "[XXXXX74]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50953": {
+      "content": "[XXXXX1050]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50954": {
+      "content": "[XXXXX71]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50955": {
+      "content": "[XXXXX360]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50956": {
+      "content": "[XXXXX512]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50957": {
+      "content": "[XXXXX341]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50958": {
+      "content": "[XXXXX375]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50959": {
+      "content": "[XXXXX637]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50960": {
+      "content": "[XXXXX1116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50961": {
+      "content": "[XXXXX9]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50962": {
+      "content": "[XXXXX738]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50963": {
+      "content": "[XXXXX856]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50964": {
+      "content": "[XXXXX979]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50965": {
+      "content": "[XXXXX825]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50966": {
+      "content": "[XXXXX852]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50967": {
+      "content": "[XXXXX215]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50968": {
+      "content": "[XXXXX91]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50969": {
+      "content": "[XXXXX257]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50970": {
+      "content": "[XXXXX325]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50971": {
+      "content": "[XXXXX368]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50972": {
+      "content": "[XXXXX1124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50973": {
+      "content": "[XXXXX188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50974": {
+      "content": "[XXXXX905]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50975": {
+      "content": "[XXXXX284]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50976": {
+      "content": "[XXXXX11]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50977": {
+      "content": "[XXXXX83]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50978": {
+      "content": "[XXXXX611]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50979": {
+      "content": "[XXXXX51]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50980": {
+      "content": "[XXXXX99]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50981": {
+      "content": "[XXXXX288]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50982": {
+      "content": "[XXXXX945]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50983": {
+      "content": "[XXXXX975]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50984": {
+      "content": "[XXXXX282]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50985": {
+      "content": "[XXXXX1068]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50986": {
+      "content": "[XXXXX1180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50987": {
+      "content": "[XXXXX574]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50988": {
+      "content": "[XXXXX305]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50989": {
+      "content": "[XXXXX565]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50990": {
+      "content": "[XXXXX865]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50991": {
+      "content": "[XXXXX1014]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50992": {
+      "content": "[XXXXX1138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50993": {
+      "content": "[XXXXX134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50994": {
+      "content": "[XXXXX321]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50995": {
+      "content": "[XXXXX752]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50996": {
+      "content": "[XXXXX108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50997": {
+      "content": "[XXXXX339]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50998": {
+      "content": "[XXXXX893]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50999": {
+      "content": "[XXXXX1177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51000": {
+      "content": "[XXXXX988]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51001": {
+      "content": "[XXXXX719]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51002": {
+      "content": "[XXXXX1059]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51003": {
+      "content": "[XXXXX421]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51004": {
+      "content": "[XXXXX670]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51005": {
+      "content": "[XXXXX949]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51006": {
+      "content": "[XXXXX14]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51007": {
+      "content": "[XXXXX1087]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51008": {
+      "content": "[XXXXX382]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51009": {
+      "content": "[XXXXX531]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51010": {
+      "content": "[XXXXX1079]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51011": {
+      "content": "[XXXXX1067]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51012": {
+      "content": "[XXXXX655]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51013": {
+      "content": "[XXXXX340]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51014": {
+      "content": "[XXXXX398]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51015": {
+      "content": "[XXXXX175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51016": {
+      "content": "[XXXXX232]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51017": {
+      "content": "[XXXXX244]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51018": {
+      "content": "[XXXXX568]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51019": {
+      "content": "[XXXXX1110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51020": {
+      "content": "[XXXXX191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51021": {
+      "content": "[XXXXX931]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51022": {
+      "content": "[XXXXX832]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51023": {
+      "content": "[XXXXX1030]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51024": {
+      "content": "[XXXXX144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51025": {
+      "content": "[XXXXX1102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51026": {
+      "content": "[XXXXX300]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51027": {
+      "content": "[XXXXX996]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51028": {
+      "content": "[XXXXX248]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51029": {
+      "content": "[XXXXX66]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51030": {
+      "content": "[XXXXX735]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51031": {
+      "content": "[XXXXX20]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51032": {
+      "content": "[XXXXX694]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51033": {
+      "content": "[XXXXX845]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51034": {
+      "content": "[XXXXX500]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51035": {
+      "content": "[XXXXX613]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51036": {
+      "content": "[XXXXX117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51037": {
+      "content": "[XXXXX886]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51038": {
+      "content": "[XXXXX261]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51039": {
+      "content": "[XXXXX567]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51040": {
+      "content": "[XXXXX541]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51041": {
+      "content": "[XXXXX529]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51042": {
+      "content": "[XXXXX699]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51043": {
+      "content": "[XXXXX715]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51044": {
+      "content": "[XXXXX1003]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51045": {
+      "content": "[XXXXX518]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51046": {
+      "content": "[XXXXX891]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51047": {
+      "content": "[XXXXX192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51048": {
+      "content": "[XXXXX53]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51049": {
+      "content": "[XXXXX428]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51050": {
+      "content": "[XXXXX183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51051": {
+      "content": "[XXXXX850]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51052": {
+      "content": "[XXXXX539]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51053": {
+      "content": "[XXXXX527]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51054": {
+      "content": "[XXXXX660]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51055": {
+      "content": "[XXXXX409]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51056": {
+      "content": "[XXXXX1122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51057": {
+      "content": "[XXXXX898]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51058": {
+      "content": "[XXXXX858]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51059": {
+      "content": "[XXXXX534]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51060": {
+      "content": "[XXXXX756]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51061": {
+      "content": "[XXXXX63]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51062": {
+      "content": "[XXXXX49]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51063": {
+      "content": "[XXXXX1106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51064": {
+      "content": "[XXXXX111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51065": {
+      "content": "[XXXXX955]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51066": {
+      "content": "[XXXXX309]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51067": {
+      "content": "[XXXXX538]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51068": {
+      "content": "[XXXXX823]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51069": {
+      "content": "[XXXXX867]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51070": {
+      "content": "[XXXXX587]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51071": {
+      "content": "[XXXXX243]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51072": {
+      "content": "[XXXXX677]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51073": {
+      "content": "[XXXXX1017]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51074": {
+      "content": "[XXXXX173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51075": {
+      "content": "[XXXXX682]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51076": {
+      "content": "[XXXXX1184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51077": {
+      "content": "[XXXXX1009]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51078": {
+      "content": "[XXXXX704]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51079": {
+      "content": "[XXXXX532]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51080": {
+      "content": "[XXXXX901]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51081": {
+      "content": "[XXXXX120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51082": {
+      "content": "[XXXXX388]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51083": {
+      "content": "[XXXXX405]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51084": {
+      "content": "[XXXXX788]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51085": {
+      "content": "[XXXXX728]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51086": {
+      "content": "[XXXXX425]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51087": {
+      "content": "[XXXXX883]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51088": {
+      "content": "[XXXXX837]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51089": {
+      "content": "[XXXXX350]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51090": {
+      "content": "[XXXXX716]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51091": {
+      "content": "[XXXXX579]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51092": {
+      "content": "[XXXXX909]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51093": {
+      "content": "[XXXXX884]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51094": {
+      "content": "[XXXXX1011]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51095": {
+      "content": "[XXXXX372]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51096": {
+      "content": "[XXXXX370]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51097": {
+      "content": "[XXXXX468]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51098": {
+      "content": "[XXXXX688]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51099": {
+      "content": "[XXXXX56]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51100": {
+      "content": "[XXXXX653]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51101": {
+      "content": "[XXXXX623]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51102": {
+      "content": "[XXXXX552]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51103": {
+      "content": "[XXXXX314]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51104": {
+      "content": "[XXXXX1018]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51105": {
+      "content": "[XXXXX1091]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51106": {
+      "content": "[XXXXX342]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51107": {
+      "content": "[XXXXX1065]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51108": {
+      "content": "[XXXXX1161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51109": {
+      "content": "[XXXXX959]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51110": {
+      "content": "[XXXXX1035]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51111": {
+      "content": "[XXXXX530]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51112": {
+      "content": "[XXXXX69]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51113": {
+      "content": "[XXXXX489]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51114": {
+      "content": "[XXXXX1]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51115": {
+      "content": "[XXXXX207]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51116": {
+      "content": "[XXXXX433]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51117": {
+      "content": "[XXXXX358]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51118": {
+      "content": "[XXXXX601]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51119": {
+      "content": "[XXXXX2]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51120": {
+      "content": "[XXXXX722]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51121": {
+      "content": "[XXXXX985]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51122": {
+      "content": "[XXXXX908]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51123": {
+      "content": "[XXXXX1024]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51124": {
+      "content": "[XXXXX1111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51125": {
+      "content": "[XXXXX1113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51126": {
+      "content": "[XXXXX678]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51127": {
+      "content": "[XXXXX19]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51128": {
+      "content": "[XXXXX1186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51129": {
+      "content": "[XXXXX808]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51130": {
+      "content": "[XXXXX493]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51131": {
+      "content": "[XXXXX1155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51132": {
+      "content": "[XXXXX217]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51133": {
+      "content": "[XXXXX616]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51134": {
+      "content": "[XXXXX835]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51135": {
+      "content": "[XXXXX994]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51136": {
+      "content": "[XXXXX484]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51137": {
+      "content": "[XXXXX362]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51138": {
+      "content": "[XXXXX582]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51139": {
+      "content": "[XXXXX1034]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51140": {
+      "content": "[XXXXX772]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51141": {
+      "content": "[XXXXX457]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51142": {
+      "content": "[XXXXX604]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51143": {
+      "content": "[XXXXX456]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51144": {
+      "content": "[XXXXX145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51145": {
+      "content": "[XXXXX476]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51146": {
+      "content": "[XXXXX218]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51147": {
+      "content": "[XXXXX199]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51148": {
+      "content": "[XXXXX364]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51149": {
+      "content": "[XXXXX302]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51150": {
+      "content": "[XXXXX881]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51151": {
+      "content": "[XXXXX1088]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51152": {
+      "content": "[XXXXX356]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51153": {
+      "content": "[XXXXX936]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51154": {
+      "content": "[XXXXX978]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51155": {
+      "content": "[XXXXX895]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51156": {
+      "content": "[XXXXX993]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51157": {
+      "content": "[XXXXX458]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51158": {
+      "content": "[XXXXX1002]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51159": {
+      "content": "[XXXXX1022]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51160": {
+      "content": "[XXXXX25]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51161": {
+      "content": "[XXXXX766]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51162": {
+      "content": "[XXXXX64]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51163": {
+      "content": "[XXXXX211]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51164": {
+      "content": "[XXXXX82]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51165": {
+      "content": "[XXXXX634]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51166": {
+      "content": "[XXXXX661]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51167": {
+      "content": "[XXXXX748]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51168": {
+      "content": "[XXXXX778]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51169": {
+      "content": "[XXXXX24]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51170": {
+      "content": "[XXXXX448]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51171": {
+      "content": "[XXXXX887]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51172": {
+      "content": "[XXXXX890]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51173": {
+      "content": "[XXXXX754]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51174": {
+      "content": "[XXXXX343]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51175": {
+      "content": "[XXXXX1069]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51176": {
+      "content": "[XXXXX294]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51177": {
+      "content": "[XXXXX295]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51178": {
+      "content": "[XXXXX197]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51179": {
+      "content": "[XXXXX210]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51180": {
+      "content": "[XXXXX630]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51181": {
+      "content": "[XXXXX707]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51182": {
+      "content": "[XXXXX864]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51183": {
+      "content": "[XXXXX391]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51184": {
+      "content": "[XXXXX338]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51185": {
+      "content": "[XXXXX800]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51186": {
+      "content": "[XXXXX841]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51187": {
+      "content": "[XXXXX967]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51188": {
+      "content": "[XXXXX793]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51189": {
+      "content": "[XXXXX916]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51190": {
+      "content": "[XXXXX603]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51191": {
+      "content": "[XXXXX270]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51192": {
+      "content": "[XXXXX105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51193": {
+      "content": "[XXXXX1016]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51194": {
+      "content": "[XXXXX804]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51195": {
+      "content": "[XXXXX264]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51196": {
+      "content": "[XXXXX155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51197": {
+      "content": "[XXXXX1190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51198": {
+      "content": "[XXXXX813]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51199": {
+      "content": "[XXXXX546]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "keep_accents": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}
diff --git a/checkpoint-11500/trainer_state.json b/checkpoint-11500/trainer_state.json
new file mode 100644
index 0000000..bf370f7
--- /dev/null
+++ b/checkpoint-11500/trainer_state.json
@@ -0,0 +1,23287 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 9.527754763877383,
+  "eval_steps": 500,
+  "global_step": 11500,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "entropy": 7.218191003799438,
+      "epoch": 0.004142502071251036,
+      "grad_norm": 1.265625,
+      "learning_rate": 2e-06,
+      "loss": 6.8898,
+      "mean_token_accuracy": 0.08805170804262161,
+      "num_tokens": 9149.0,
+      "step": 5
+    },
+    {
+      "entropy": 7.191673707962036,
+      "epoch": 0.008285004142502071,
+      "grad_norm": 1.5078125,
+      "learning_rate": 4.5e-06,
+      "loss": 6.7268,
+      "mean_token_accuracy": 0.09304728880524635,
+      "num_tokens": 16800.0,
+      "step": 10
+    },
+    {
+      "entropy": 7.134524202346801,
+      "epoch": 0.012427506213753107,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7e-06,
+      "loss": 6.8905,
+      "mean_token_accuracy": 0.0921505056321621,
+      "num_tokens": 26617.0,
+      "step": 15
+    },
+    {
+      "entropy": 7.115550088882446,
+      "epoch": 0.016570008285004142,
+      "grad_norm": 1.25,
+      "learning_rate": 9.5e-06,
+      "loss": 6.8021,
+      "mean_token_accuracy": 0.09268744736909866,
+      "num_tokens": 35855.0,
+      "step": 20
+    },
+    {
+      "entropy": 7.12396879196167,
+      "epoch": 0.020712510356255178,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.2e-05,
+      "loss": 7.0094,
+      "mean_token_accuracy": 0.08752714470028877,
+      "num_tokens": 45644.0,
+      "step": 25
+    },
+    {
+      "entropy": 7.054446792602539,
+      "epoch": 0.024855012427506214,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.4500000000000002e-05,
+      "loss": 6.8922,
+      "mean_token_accuracy": 0.09398627206683159,
+      "num_tokens": 54641.0,
+      "step": 30
+    },
+    {
+      "entropy": 7.012255907058716,
+      "epoch": 0.02899751449875725,
+      "grad_norm": 1.0234375,
+      "learning_rate": 1.7000000000000003e-05,
+      "loss": 6.7519,
+      "mean_token_accuracy": 0.08958807587623596,
+      "num_tokens": 63924.0,
+      "step": 35
+    },
+    {
+      "entropy": 7.068031549453735,
+      "epoch": 0.033140016570008285,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.95e-05,
+      "loss": 6.89,
+      "mean_token_accuracy": 0.09437783882021904,
+      "num_tokens": 73452.0,
+      "step": 40
+    },
+    {
+      "entropy": 7.06072301864624,
+      "epoch": 0.037282518641259324,
+      "grad_norm": 1.0234375,
+      "learning_rate": 2.2e-05,
+      "loss": 6.9455,
+      "mean_token_accuracy": 0.0851291574537754,
+      "num_tokens": 82731.0,
+      "step": 45
+    },
+    {
+      "entropy": 7.090083169937134,
+      "epoch": 0.041425020712510356,
+      "grad_norm": 1.1015625,
+      "learning_rate": 2.4500000000000003e-05,
+      "loss": 6.7734,
+      "mean_token_accuracy": 0.09048294499516488,
+      "num_tokens": 92626.0,
+      "step": 50
+    },
+    {
+      "entropy": 7.149203157424926,
+      "epoch": 0.045567522783761395,
+      "grad_norm": 1.21875,
+      "learning_rate": 2.7e-05,
+      "loss": 6.9497,
+      "mean_token_accuracy": 0.08217904865741729,
+      "num_tokens": 101380.0,
+      "step": 55
+    },
+    {
+      "entropy": 7.119951963424683,
+      "epoch": 0.04971002485501243,
+      "grad_norm": 1.046875,
+      "learning_rate": 2.95e-05,
+      "loss": 6.8604,
+      "mean_token_accuracy": 0.09202293381094932,
+      "num_tokens": 109895.0,
+      "step": 60
+    },
+    {
+      "entropy": 7.2014998435974125,
+      "epoch": 0.053852526926263466,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.2e-05,
+      "loss": 6.8449,
+      "mean_token_accuracy": 0.09257669150829315,
+      "num_tokens": 119203.0,
+      "step": 65
+    },
+    {
+      "entropy": 7.1111664295196535,
+      "epoch": 0.0579950289975145,
+      "grad_norm": 1.1484375,
+      "learning_rate": 3.4500000000000005e-05,
+      "loss": 6.7903,
+      "mean_token_accuracy": 0.09657297283411026,
+      "num_tokens": 127572.0,
+      "step": 70
+    },
+    {
+      "entropy": 7.04930944442749,
+      "epoch": 0.06213753106876554,
+      "grad_norm": 1.03125,
+      "learning_rate": 3.7e-05,
+      "loss": 6.8304,
+      "mean_token_accuracy": 0.09063600301742554,
+      "num_tokens": 137161.0,
+      "step": 75
+    },
+    {
+      "entropy": 7.044711875915527,
+      "epoch": 0.06628003314001657,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.95e-05,
+      "loss": 6.9451,
+      "mean_token_accuracy": 0.08874713778495788,
+      "num_tokens": 145991.0,
+      "step": 80
+    },
+    {
+      "entropy": 7.130092525482178,
+      "epoch": 0.07042253521126761,
+      "grad_norm": 1.0546875,
+      "learning_rate": 4.2000000000000004e-05,
+      "loss": 6.8464,
+      "mean_token_accuracy": 0.08955071866512299,
+      "num_tokens": 154927.0,
+      "step": 85
+    },
+    {
+      "entropy": 7.090402746200562,
+      "epoch": 0.07456503728251865,
+      "grad_norm": 1.34375,
+      "learning_rate": 4.45e-05,
+      "loss": 6.7595,
+      "mean_token_accuracy": 0.09832768961787224,
+      "num_tokens": 163234.0,
+      "step": 90
+    },
+    {
+      "entropy": 7.08957576751709,
+      "epoch": 0.07870753935376967,
+      "grad_norm": 1.015625,
+      "learning_rate": 4.7000000000000004e-05,
+      "loss": 6.7163,
+      "mean_token_accuracy": 0.09379880875349045,
+      "num_tokens": 171554.0,
+      "step": 95
+    },
+    {
+      "entropy": 7.044517278671265,
+      "epoch": 0.08285004142502071,
+      "grad_norm": 1.1328125,
+      "learning_rate": 4.9500000000000004e-05,
+      "loss": 6.8173,
+      "mean_token_accuracy": 0.0955286517739296,
+      "num_tokens": 180171.0,
+      "step": 100
+    },
+    {
+      "entropy": 7.050950908660889,
+      "epoch": 0.08699254349627175,
+      "grad_norm": 1.0859375,
+      "learning_rate": 5.2e-05,
+      "loss": 6.761,
+      "mean_token_accuracy": 0.09741089940071106,
+      "num_tokens": 189216.0,
+      "step": 105
+    },
+    {
+      "entropy": 7.173562717437744,
+      "epoch": 0.09113504556752279,
+      "grad_norm": 1.015625,
+      "learning_rate": 5.45e-05,
+      "loss": 6.9519,
+      "mean_token_accuracy": 0.08675800338387489,
+      "num_tokens": 200022.0,
+      "step": 110
+    },
+    {
+      "entropy": 7.183744478225708,
+      "epoch": 0.09527754763877382,
+      "grad_norm": 1.2265625,
+      "learning_rate": 5.7e-05,
+      "loss": 6.8642,
+      "mean_token_accuracy": 0.09210581332445145,
+      "num_tokens": 208686.0,
+      "step": 115
+    },
+    {
+      "entropy": 7.121539115905762,
+      "epoch": 0.09942004971002485,
+      "grad_norm": 1.1875,
+      "learning_rate": 5.9499999999999996e-05,
+      "loss": 6.8829,
+      "mean_token_accuracy": 0.09462191313505172,
+      "num_tokens": 218266.0,
+      "step": 120
+    },
+    {
+      "entropy": 7.006736946105957,
+      "epoch": 0.1035625517812759,
+      "grad_norm": 1.046875,
+      "learning_rate": 6.2e-05,
+      "loss": 6.7523,
+      "mean_token_accuracy": 0.08771666437387467,
+      "num_tokens": 227658.0,
+      "step": 125
+    },
+    {
+      "entropy": 7.040027761459351,
+      "epoch": 0.10770505385252693,
+      "grad_norm": 1.1015625,
+      "learning_rate": 6.450000000000001e-05,
+      "loss": 6.7014,
+      "mean_token_accuracy": 0.1004502885043621,
+      "num_tokens": 236301.0,
+      "step": 130
+    },
+    {
+      "entropy": 7.106470441818237,
+      "epoch": 0.11184755592377796,
+      "grad_norm": 1.1171875,
+      "learning_rate": 6.7e-05,
+      "loss": 6.8424,
+      "mean_token_accuracy": 0.08812138065695763,
+      "num_tokens": 246355.0,
+      "step": 135
+    },
+    {
+      "entropy": 7.174679756164551,
+      "epoch": 0.115990057995029,
+      "grad_norm": 1.15625,
+      "learning_rate": 6.950000000000001e-05,
+      "loss": 6.8174,
+      "mean_token_accuracy": 0.0924198254942894,
+      "num_tokens": 256023.0,
+      "step": 140
+    },
+    {
+      "entropy": 7.10174069404602,
+      "epoch": 0.12013256006628004,
+      "grad_norm": 0.9921875,
+      "learning_rate": 7.2e-05,
+      "loss": 6.9036,
+      "mean_token_accuracy": 0.08638993799686431,
+      "num_tokens": 266893.0,
+      "step": 145
+    },
+    {
+      "entropy": 7.019921684265137,
+      "epoch": 0.12427506213753108,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7.45e-05,
+      "loss": 6.6606,
+      "mean_token_accuracy": 0.08872481286525727,
+      "num_tokens": 276075.0,
+      "step": 150
+    },
+    {
+      "entropy": 7.042754888534546,
+      "epoch": 0.12841756420878211,
+      "grad_norm": 1.25,
+      "learning_rate": 7.7e-05,
+      "loss": 6.7532,
+      "mean_token_accuracy": 0.09296932220458984,
+      "num_tokens": 285529.0,
+      "step": 155
+    },
+    {
+      "entropy": 7.064399909973145,
+      "epoch": 0.13256006628003314,
+      "grad_norm": 1.15625,
+      "learning_rate": 7.950000000000001e-05,
+      "loss": 6.762,
+      "mean_token_accuracy": 0.09406789913773536,
+      "num_tokens": 294403.0,
+      "step": 160
+    },
+    {
+      "entropy": 7.152362823486328,
+      "epoch": 0.13670256835128416,
+      "grad_norm": 1.28125,
+      "learning_rate": 8.2e-05,
+      "loss": 6.8553,
+      "mean_token_accuracy": 0.09358441680669785,
+      "num_tokens": 303507.0,
+      "step": 165
+    },
+    {
+      "entropy": 7.071487474441528,
+      "epoch": 0.14084507042253522,
+      "grad_norm": 1.21875,
+      "learning_rate": 8.450000000000001e-05,
+      "loss": 6.7534,
+      "mean_token_accuracy": 0.09645206108689308,
+      "num_tokens": 312393.0,
+      "step": 170
+    },
+    {
+      "entropy": 6.956210470199585,
+      "epoch": 0.14498757249378624,
+      "grad_norm": 1.0859375,
+      "learning_rate": 8.7e-05,
+      "loss": 6.7226,
+      "mean_token_accuracy": 0.09953253641724587,
+      "num_tokens": 321309.0,
+      "step": 175
+    },
+    {
+      "entropy": 7.2200812816619875,
+      "epoch": 0.1491300745650373,
+      "grad_norm": 1.1328125,
+      "learning_rate": 8.95e-05,
+      "loss": 6.7879,
+      "mean_token_accuracy": 0.09582221284508705,
+      "num_tokens": 330217.0,
+      "step": 180
+    },
+    {
+      "entropy": 6.964824962615967,
+      "epoch": 0.15327257663628832,
+      "grad_norm": 1.2109375,
+      "learning_rate": 9.2e-05,
+      "loss": 6.8296,
+      "mean_token_accuracy": 0.09584516286849976,
+      "num_tokens": 339587.0,
+      "step": 185
+    },
+    {
+      "entropy": 7.104565525054932,
+      "epoch": 0.15741507870753935,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.45e-05,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.09563353508710862,
+      "num_tokens": 349367.0,
+      "step": 190
+    },
+    {
+      "entropy": 6.90956711769104,
+      "epoch": 0.1615575807787904,
+      "grad_norm": 1.1953125,
+      "learning_rate": 9.7e-05,
+      "loss": 6.6535,
+      "mean_token_accuracy": 0.09533214569091797,
+      "num_tokens": 358272.0,
+      "step": 195
+    },
+    {
+      "entropy": 7.184430170059204,
+      "epoch": 0.16570008285004142,
+      "grad_norm": 1.1875,
+      "learning_rate": 9.95e-05,
+      "loss": 6.8847,
+      "mean_token_accuracy": 0.09342379868030548,
+      "num_tokens": 367709.0,
+      "step": 200
+    },
+    {
+      "entropy": 7.108258152008057,
+      "epoch": 0.16984258492129245,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000102,
+      "loss": 6.7363,
+      "mean_token_accuracy": 0.09321728497743606,
+      "num_tokens": 376180.0,
+      "step": 205
+    },
+    {
+      "entropy": 7.143853282928466,
+      "epoch": 0.1739850869925435,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00010449999999999999,
+      "loss": 6.8927,
+      "mean_token_accuracy": 0.08639989122748375,
+      "num_tokens": 385636.0,
+      "step": 210
+    },
+    {
+      "entropy": 7.005528688430786,
+      "epoch": 0.17812758906379453,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000107,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.10387283116579056,
+      "num_tokens": 394486.0,
+      "step": 215
+    },
+    {
+      "entropy": 7.066776275634766,
+      "epoch": 0.18227009113504558,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0001095,
+      "loss": 6.7286,
+      "mean_token_accuracy": 0.09739693626761436,
+      "num_tokens": 403765.0,
+      "step": 220
+    },
+    {
+      "entropy": 6.9391695022583,
+      "epoch": 0.1864125932062966,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000112,
+      "loss": 6.7198,
+      "mean_token_accuracy": 0.09883175939321517,
+      "num_tokens": 412988.0,
+      "step": 225
+    },
+    {
+      "entropy": 7.029045248031617,
+      "epoch": 0.19055509527754763,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0001145,
+      "loss": 6.6219,
+      "mean_token_accuracy": 0.09850638806819915,
+      "num_tokens": 422096.0,
+      "step": 230
+    },
+    {
+      "entropy": 7.055552911758423,
+      "epoch": 0.19469759734879868,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011700000000000001,
+      "loss": 6.7907,
+      "mean_token_accuracy": 0.08912368193268776,
+      "num_tokens": 431333.0,
+      "step": 235
+    },
+    {
+      "entropy": 7.076433277130127,
+      "epoch": 0.1988400994200497,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00011949999999999999,
+      "loss": 6.825,
+      "mean_token_accuracy": 0.0998022735118866,
+      "num_tokens": 440382.0,
+      "step": 240
+    },
+    {
+      "entropy": 7.098494958877564,
+      "epoch": 0.20298260149130073,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000122,
+      "loss": 6.7184,
+      "mean_token_accuracy": 0.1035430908203125,
+      "num_tokens": 448469.0,
+      "step": 245
+    },
+    {
+      "entropy": 7.065437746047974,
+      "epoch": 0.2071251035625518,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001245,
+      "loss": 6.7562,
+      "mean_token_accuracy": 0.0973759837448597,
+      "num_tokens": 457356.0,
+      "step": 250
+    },
+    {
+      "entropy": 7.103154182434082,
+      "epoch": 0.2112676056338028,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000127,
+      "loss": 6.7821,
+      "mean_token_accuracy": 0.09721289053559304,
+      "num_tokens": 465928.0,
+      "step": 255
+    },
+    {
+      "entropy": 6.99681601524353,
+      "epoch": 0.21541010770505387,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0001295,
+      "loss": 6.6931,
+      "mean_token_accuracy": 0.09931288808584213,
+      "num_tokens": 475269.0,
+      "step": 260
+    },
+    {
+      "entropy": 6.960800266265869,
+      "epoch": 0.2195526097763049,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000132,
+      "loss": 6.679,
+      "mean_token_accuracy": 0.09512786641716957,
+      "num_tokens": 485450.0,
+      "step": 265
+    },
+    {
+      "entropy": 7.0514568328857425,
+      "epoch": 0.22369511184755592,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00013450000000000002,
+      "loss": 6.7347,
+      "mean_token_accuracy": 0.10228226557374001,
+      "num_tokens": 494029.0,
+      "step": 270
+    },
+    {
+      "entropy": 6.9516912460327145,
+      "epoch": 0.22783761391880697,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013700000000000002,
+      "loss": 6.676,
+      "mean_token_accuracy": 0.10202871784567832,
+      "num_tokens": 503253.0,
+      "step": 275
+    },
+    {
+      "entropy": 7.018160057067871,
+      "epoch": 0.231980115990058,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0001395,
+      "loss": 6.6685,
+      "mean_token_accuracy": 0.09529435187578202,
+      "num_tokens": 512857.0,
+      "step": 280
+    },
+    {
+      "entropy": 6.9714985370635985,
+      "epoch": 0.23612261806130902,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00014199999999999998,
+      "loss": 6.7719,
+      "mean_token_accuracy": 0.09288227260112762,
+      "num_tokens": 522319.0,
+      "step": 285
+    },
+    {
+      "entropy": 7.113205528259277,
+      "epoch": 0.24026512013256007,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0001445,
+      "loss": 6.7224,
+      "mean_token_accuracy": 0.09471780881285667,
+      "num_tokens": 531469.0,
+      "step": 290
+    },
+    {
+      "entropy": 6.976934480667114,
+      "epoch": 0.2444076222038111,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000147,
+      "loss": 6.756,
+      "mean_token_accuracy": 0.09480062946677208,
+      "num_tokens": 540470.0,
+      "step": 295
+    },
+    {
+      "entropy": 7.011937475204467,
+      "epoch": 0.24855012427506215,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0001495,
+      "loss": 6.7584,
+      "mean_token_accuracy": 0.09700122326612473,
+      "num_tokens": 550317.0,
+      "step": 300
+    },
+    {
+      "entropy": 7.0365160465240475,
+      "epoch": 0.2526926263463132,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000152,
+      "loss": 6.7067,
+      "mean_token_accuracy": 0.09434132501482964,
+      "num_tokens": 559409.0,
+      "step": 305
+    },
+    {
+      "entropy": 6.928857326507568,
+      "epoch": 0.25683512841756423,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00015450000000000001,
+      "loss": 6.768,
+      "mean_token_accuracy": 0.10764710158109665,
+      "num_tokens": 568726.0,
+      "step": 310
+    },
+    {
+      "entropy": 7.103991413116455,
+      "epoch": 0.2609776304888152,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000157,
+      "loss": 6.7179,
+      "mean_token_accuracy": 0.0976541943848133,
+      "num_tokens": 577926.0,
+      "step": 315
+    },
+    {
+      "entropy": 7.047203779220581,
+      "epoch": 0.2651201325600663,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001595,
+      "loss": 6.7448,
+      "mean_token_accuracy": 0.09809661954641342,
+      "num_tokens": 586695.0,
+      "step": 320
+    },
+    {
+      "entropy": 7.039609956741333,
+      "epoch": 0.26926263463131733,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000162,
+      "loss": 6.771,
+      "mean_token_accuracy": 0.0949723981320858,
+      "num_tokens": 596250.0,
+      "step": 325
+    },
+    {
+      "entropy": 7.063632202148438,
+      "epoch": 0.27340513670256833,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00016450000000000001,
+      "loss": 6.8221,
+      "mean_token_accuracy": 0.09051206335425377,
+      "num_tokens": 605761.0,
+      "step": 330
+    },
+    {
+      "entropy": 7.019326877593994,
+      "epoch": 0.2775476387738194,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00016700000000000002,
+      "loss": 6.7365,
+      "mean_token_accuracy": 0.09872144013643265,
+      "num_tokens": 614313.0,
+      "step": 335
+    },
+    {
+      "entropy": 7.037422132492066,
+      "epoch": 0.28169014084507044,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00016950000000000003,
+      "loss": 6.7692,
+      "mean_token_accuracy": 0.09455474764108658,
+      "num_tokens": 624470.0,
+      "step": 340
+    },
+    {
+      "entropy": 7.039082098007202,
+      "epoch": 0.28583264291632143,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00017199999999999998,
+      "loss": 6.6843,
+      "mean_token_accuracy": 0.09269843101501465,
+      "num_tokens": 633458.0,
+      "step": 345
+    },
+    {
+      "entropy": 6.942268037796021,
+      "epoch": 0.2899751449875725,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00017449999999999999,
+      "loss": 6.6939,
+      "mean_token_accuracy": 0.09877684414386749,
+      "num_tokens": 643251.0,
+      "step": 350
+    },
+    {
+      "entropy": 6.99584732055664,
+      "epoch": 0.29411764705882354,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000177,
+      "loss": 6.7635,
+      "mean_token_accuracy": 0.09713540598750114,
+      "num_tokens": 652005.0,
+      "step": 355
+    },
+    {
+      "entropy": 7.006586170196533,
+      "epoch": 0.2982601491300746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0001795,
+      "loss": 6.6575,
+      "mean_token_accuracy": 0.10120807588100433,
+      "num_tokens": 661003.0,
+      "step": 360
+    },
+    {
+      "entropy": 6.874996137619019,
+      "epoch": 0.3024026512013256,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000182,
+      "loss": 6.6294,
+      "mean_token_accuracy": 0.09844254851341247,
+      "num_tokens": 670221.0,
+      "step": 365
+    },
+    {
+      "entropy": 7.155635738372803,
+      "epoch": 0.30654515327257664,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001845,
+      "loss": 6.9236,
+      "mean_token_accuracy": 0.0882349319756031,
+      "num_tokens": 680756.0,
+      "step": 370
+    },
+    {
+      "entropy": 6.94540753364563,
+      "epoch": 0.3106876553438277,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000187,
+      "loss": 6.6157,
+      "mean_token_accuracy": 0.10289054960012436,
+      "num_tokens": 689641.0,
+      "step": 375
+    },
+    {
+      "entropy": 6.87992377281189,
+      "epoch": 0.3148301574150787,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001895,
+      "loss": 6.5696,
+      "mean_token_accuracy": 0.09839320331811904,
+      "num_tokens": 698209.0,
+      "step": 380
+    },
+    {
+      "entropy": 6.823869276046753,
+      "epoch": 0.31897265948632975,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000192,
+      "loss": 6.5736,
+      "mean_token_accuracy": 0.10355777889490128,
+      "num_tokens": 706712.0,
+      "step": 385
+    },
+    {
+      "entropy": 7.037634468078613,
+      "epoch": 0.3231151615575808,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0001945,
+      "loss": 6.8017,
+      "mean_token_accuracy": 0.09728012606501579,
+      "num_tokens": 716087.0,
+      "step": 390
+    },
+    {
+      "entropy": 6.911249494552612,
+      "epoch": 0.3272576636288318,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00019700000000000002,
+      "loss": 6.6465,
+      "mean_token_accuracy": 0.09347675815224647,
+      "num_tokens": 725913.0,
+      "step": 395
+    },
+    {
+      "entropy": 6.944440317153931,
+      "epoch": 0.33140016570008285,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019950000000000002,
+      "loss": 6.7201,
+      "mean_token_accuracy": 0.10362306237220764,
+      "num_tokens": 735020.0,
+      "step": 400
+    },
+    {
+      "entropy": 6.985636854171753,
+      "epoch": 0.3355426677713339,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000202,
+      "loss": 6.6216,
+      "mean_token_accuracy": 0.09469136893749237,
+      "num_tokens": 744299.0,
+      "step": 405
+    },
+    {
+      "entropy": 6.883630275726318,
+      "epoch": 0.3396851698425849,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00020449999999999998,
+      "loss": 6.6099,
+      "mean_token_accuracy": 0.09694516137242318,
+      "num_tokens": 753231.0,
+      "step": 410
+    },
+    {
+      "entropy": 6.825357389450073,
+      "epoch": 0.34382767191383595,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000207,
+      "loss": 6.6717,
+      "mean_token_accuracy": 0.10230854973196983,
+      "num_tokens": 763043.0,
+      "step": 415
+    },
+    {
+      "entropy": 7.016851997375488,
+      "epoch": 0.347970173985087,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0002095,
+      "loss": 6.6905,
+      "mean_token_accuracy": 0.09913048222661018,
+      "num_tokens": 771977.0,
+      "step": 420
+    },
+    {
+      "entropy": 6.820244407653808,
+      "epoch": 0.352112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000212,
+      "loss": 6.6243,
+      "mean_token_accuracy": 0.1011092983186245,
+      "num_tokens": 780285.0,
+      "step": 425
+    },
+    {
+      "entropy": 6.956075525283813,
+      "epoch": 0.35625517812758906,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002145,
+      "loss": 6.6593,
+      "mean_token_accuracy": 0.09649045094847679,
+      "num_tokens": 789980.0,
+      "step": 430
+    },
+    {
+      "entropy": 6.984846019744873,
+      "epoch": 0.3603976801988401,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021700000000000002,
+      "loss": 6.6275,
+      "mean_token_accuracy": 0.10474459528923034,
+      "num_tokens": 798700.0,
+      "step": 435
+    },
+    {
+      "entropy": 6.767291498184204,
+      "epoch": 0.36454018227009116,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002195,
+      "loss": 6.7208,
+      "mean_token_accuracy": 0.09600067660212516,
+      "num_tokens": 808758.0,
+      "step": 440
+    },
+    {
+      "entropy": 7.046369791030884,
+      "epoch": 0.36868268434134216,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000222,
+      "loss": 6.6666,
+      "mean_token_accuracy": 0.10458802133798599,
+      "num_tokens": 817692.0,
+      "step": 445
+    },
+    {
+      "entropy": 6.95425066947937,
+      "epoch": 0.3728251864125932,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002245,
+      "loss": 6.7146,
+      "mean_token_accuracy": 0.10474570766091347,
+      "num_tokens": 827052.0,
+      "step": 450
+    },
+    {
+      "entropy": 6.895345544815063,
+      "epoch": 0.37696768848384427,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00022700000000000002,
+      "loss": 6.7139,
+      "mean_token_accuracy": 0.1091882586479187,
+      "num_tokens": 836442.0,
+      "step": 455
+    },
+    {
+      "entropy": 6.922871923446655,
+      "epoch": 0.38111019055509526,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00022950000000000002,
+      "loss": 6.5775,
+      "mean_token_accuracy": 0.10118989571928978,
+      "num_tokens": 846441.0,
+      "step": 460
+    },
+    {
+      "entropy": 6.8815388679504395,
+      "epoch": 0.3852526926263463,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00023200000000000003,
+      "loss": 6.6215,
+      "mean_token_accuracy": 0.10475475937128068,
+      "num_tokens": 856108.0,
+      "step": 465
+    },
+    {
+      "entropy": 6.848587274551392,
+      "epoch": 0.38939519469759737,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00023449999999999998,
+      "loss": 6.5833,
+      "mean_token_accuracy": 0.10137399956583977,
+      "num_tokens": 865788.0,
+      "step": 470
+    },
+    {
+      "entropy": 6.886804008483887,
+      "epoch": 0.39353769676884837,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000237,
+      "loss": 6.6302,
+      "mean_token_accuracy": 0.09514767676591873,
+      "num_tokens": 874833.0,
+      "step": 475
+    },
+    {
+      "entropy": 6.751422643661499,
+      "epoch": 0.3976801988400994,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002395,
+      "loss": 6.5997,
+      "mean_token_accuracy": 0.10276172533631325,
+      "num_tokens": 883685.0,
+      "step": 480
+    },
+    {
+      "entropy": 6.881311464309692,
+      "epoch": 0.40182270091135047,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000242,
+      "loss": 6.6001,
+      "mean_token_accuracy": 0.09796027019619942,
+      "num_tokens": 893908.0,
+      "step": 485
+    },
+    {
+      "entropy": 6.934821891784668,
+      "epoch": 0.40596520298260147,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002445,
+      "loss": 6.7142,
+      "mean_token_accuracy": 0.09827135354280472,
+      "num_tokens": 903081.0,
+      "step": 490
+    },
+    {
+      "entropy": 6.7868632793426515,
+      "epoch": 0.4101077050538525,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000247,
+      "loss": 6.5522,
+      "mean_token_accuracy": 0.10336750745773315,
+      "num_tokens": 912515.0,
+      "step": 495
+    },
+    {
+      "entropy": 6.886235475540161,
+      "epoch": 0.4142502071251036,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002495,
+      "loss": 6.5797,
+      "mean_token_accuracy": 0.1070313923060894,
+      "num_tokens": 921056.0,
+      "step": 500
+    },
+    {
+      "epoch": 0.4142502071251036,
+      "eval_entropy": 6.836038604728194,
+      "eval_loss": 6.684774875640869,
+      "eval_mean_token_accuracy": 0.10272799217021034,
+      "eval_num_tokens": 921056.0,
+      "eval_runtime": 2.7891,
+      "eval_samples_per_second": 1343.421,
+      "eval_steps_per_second": 168.152,
+      "step": 500
+    },
+    {
+      "entropy": 6.7657403469085695,
+      "epoch": 0.4183927091963546,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000252,
+      "loss": 6.5317,
+      "mean_token_accuracy": 0.10417452603578567,
+      "num_tokens": 931112.0,
+      "step": 505
+    },
+    {
+      "entropy": 6.821895503997803,
+      "epoch": 0.4225352112676056,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0002545,
+      "loss": 6.6605,
+      "mean_token_accuracy": 0.0978618748486042,
+      "num_tokens": 941120.0,
+      "step": 510
+    },
+    {
+      "entropy": 6.886211729049682,
+      "epoch": 0.4266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000257,
+      "loss": 6.6044,
+      "mean_token_accuracy": 0.09737976416945457,
+      "num_tokens": 950041.0,
+      "step": 515
+    },
+    {
+      "entropy": 6.879851579666138,
+      "epoch": 0.43082021541010773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002595,
+      "loss": 6.5907,
+      "mean_token_accuracy": 0.10606569275259972,
+      "num_tokens": 958608.0,
+      "step": 520
+    },
+    {
+      "entropy": 6.886484861373901,
+      "epoch": 0.43496271748135873,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.000262,
+      "loss": 6.7158,
+      "mean_token_accuracy": 0.09990910813212395,
+      "num_tokens": 966901.0,
+      "step": 525
+    },
+    {
+      "entropy": 6.767313003540039,
+      "epoch": 0.4391052195526098,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026450000000000003,
+      "loss": 6.5504,
+      "mean_token_accuracy": 0.10768762230873108,
+      "num_tokens": 976198.0,
+      "step": 530
+    },
+    {
+      "entropy": 6.892781782150268,
+      "epoch": 0.44324772162386084,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026700000000000004,
+      "loss": 6.624,
+      "mean_token_accuracy": 0.09861580505967141,
+      "num_tokens": 985248.0,
+      "step": 535
+    },
+    {
+      "entropy": 6.772344255447388,
+      "epoch": 0.44739022369511183,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00026950000000000005,
+      "loss": 6.5014,
+      "mean_token_accuracy": 0.1071978710591793,
+      "num_tokens": 993289.0,
+      "step": 540
+    },
+    {
+      "entropy": 6.820696449279785,
+      "epoch": 0.4515327257663629,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027200000000000005,
+      "loss": 6.5909,
+      "mean_token_accuracy": 0.10533165782690049,
+      "num_tokens": 1001784.0,
+      "step": 545
+    },
+    {
+      "entropy": 6.935409688949585,
+      "epoch": 0.45567522783761394,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002745,
+      "loss": 6.5627,
+      "mean_token_accuracy": 0.10804210156202317,
+      "num_tokens": 1010445.0,
+      "step": 550
+    },
+    {
+      "entropy": 6.745790100097656,
+      "epoch": 0.45981772990886494,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000277,
+      "loss": 6.6184,
+      "mean_token_accuracy": 0.10709234476089477,
+      "num_tokens": 1019084.0,
+      "step": 555
+    },
+    {
+      "entropy": 6.7490733623504635,
+      "epoch": 0.463960231980116,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002795,
+      "loss": 6.5249,
+      "mean_token_accuracy": 0.10461713373661041,
+      "num_tokens": 1027263.0,
+      "step": 560
+    },
+    {
+      "entropy": 6.876884937286377,
+      "epoch": 0.46810273405136704,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00028199999999999997,
+      "loss": 6.6233,
+      "mean_token_accuracy": 0.09752989709377288,
+      "num_tokens": 1036275.0,
+      "step": 565
+    },
+    {
+      "entropy": 6.765736055374146,
+      "epoch": 0.47224523612261804,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002845,
+      "loss": 6.7015,
+      "mean_token_accuracy": 0.09858408868312836,
+      "num_tokens": 1045208.0,
+      "step": 570
+    },
+    {
+      "entropy": 6.9024957656860355,
+      "epoch": 0.4763877381938691,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000287,
+      "loss": 6.6287,
+      "mean_token_accuracy": 0.1026283286511898,
+      "num_tokens": 1054703.0,
+      "step": 575
+    },
+    {
+      "entropy": 6.647345924377442,
+      "epoch": 0.48053024026512015,
+      "grad_norm": 1.5,
+      "learning_rate": 0.0002895,
+      "loss": 6.4841,
+      "mean_token_accuracy": 0.10212503597140313,
+      "num_tokens": 1063652.0,
+      "step": 580
+    },
+    {
+      "entropy": 6.717900657653809,
+      "epoch": 0.48467274233637114,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000292,
+      "loss": 6.5873,
+      "mean_token_accuracy": 0.10145951434969902,
+      "num_tokens": 1072070.0,
+      "step": 585
+    },
+    {
+      "entropy": 6.997959756851197,
+      "epoch": 0.4888152444076222,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002945,
+      "loss": 6.6143,
+      "mean_token_accuracy": 0.10064447894692422,
+      "num_tokens": 1079992.0,
+      "step": 590
+    },
+    {
+      "entropy": 6.657160854339599,
+      "epoch": 0.49295774647887325,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000297,
+      "loss": 6.628,
+      "mean_token_accuracy": 0.10435748845338821,
+      "num_tokens": 1088862.0,
+      "step": 595
+    },
+    {
+      "entropy": 6.773271942138672,
+      "epoch": 0.4971002485501243,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002995,
+      "loss": 6.4317,
+      "mean_token_accuracy": 0.10795770138502121,
+      "num_tokens": 1097614.0,
+      "step": 600
+    },
+    {
+      "entropy": 6.7102379322052,
+      "epoch": 0.5012427506213754,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000302,
+      "loss": 6.6288,
+      "mean_token_accuracy": 0.10706980749964715,
+      "num_tokens": 1107347.0,
+      "step": 605
+    },
+    {
+      "entropy": 6.8672473430633545,
+      "epoch": 0.5053852526926264,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003045,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10073774978518486,
+      "num_tokens": 1116707.0,
+      "step": 610
+    },
+    {
+      "entropy": 6.764383840560913,
+      "epoch": 0.5095277547638773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000307,
+      "loss": 6.6549,
+      "mean_token_accuracy": 0.10234303548932075,
+      "num_tokens": 1126356.0,
+      "step": 615
+    },
+    {
+      "entropy": 6.787193298339844,
+      "epoch": 0.5136702568351285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003095,
+      "loss": 6.5847,
+      "mean_token_accuracy": 0.10079671740531922,
+      "num_tokens": 1136281.0,
+      "step": 620
+    },
+    {
+      "entropy": 6.713733196258545,
+      "epoch": 0.5178127589063795,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000312,
+      "loss": 6.5355,
+      "mean_token_accuracy": 0.10429632142186165,
+      "num_tokens": 1145466.0,
+      "step": 625
+    },
+    {
+      "entropy": 6.7503923892974855,
+      "epoch": 0.5219552609776305,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003145,
+      "loss": 6.5409,
+      "mean_token_accuracy": 0.10918259546160698,
+      "num_tokens": 1154225.0,
+      "step": 630
+    },
+    {
+      "entropy": 6.761834907531738,
+      "epoch": 0.5260977630488816,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000317,
+      "loss": 6.5885,
+      "mean_token_accuracy": 0.09673135951161385,
+      "num_tokens": 1163872.0,
+      "step": 635
+    },
+    {
+      "entropy": 6.69431324005127,
+      "epoch": 0.5302402651201326,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003195,
+      "loss": 6.5244,
+      "mean_token_accuracy": 0.10705070868134499,
+      "num_tokens": 1172695.0,
+      "step": 640
+    },
+    {
+      "entropy": 6.651590061187744,
+      "epoch": 0.5343827671913836,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000322,
+      "loss": 6.3962,
+      "mean_token_accuracy": 0.11006554961204529,
+      "num_tokens": 1181291.0,
+      "step": 645
+    },
+    {
+      "entropy": 6.782713270187378,
+      "epoch": 0.5385252692626347,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00032450000000000003,
+      "loss": 6.5715,
+      "mean_token_accuracy": 0.10394523739814758,
+      "num_tokens": 1189927.0,
+      "step": 650
+    },
+    {
+      "entropy": 6.705166435241699,
+      "epoch": 0.5426677713338857,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00032700000000000003,
+      "loss": 6.5043,
+      "mean_token_accuracy": 0.10940467119216919,
+      "num_tokens": 1197913.0,
+      "step": 655
+    },
+    {
+      "entropy": 6.670699262619019,
+      "epoch": 0.5468102734051367,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032950000000000004,
+      "loss": 6.4309,
+      "mean_token_accuracy": 0.11147961542010307,
+      "num_tokens": 1207032.0,
+      "step": 660
+    },
+    {
+      "entropy": 6.640204334259034,
+      "epoch": 0.5509527754763878,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00033200000000000005,
+      "loss": 6.5397,
+      "mean_token_accuracy": 0.10571447387337685,
+      "num_tokens": 1215710.0,
+      "step": 665
+    },
+    {
+      "entropy": 6.694819068908691,
+      "epoch": 0.5550952775476388,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033450000000000005,
+      "loss": 6.52,
+      "mean_token_accuracy": 0.10049431845545768,
+      "num_tokens": 1225619.0,
+      "step": 670
+    },
+    {
+      "entropy": 6.649594163894653,
+      "epoch": 0.5592377796188898,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000337,
+      "loss": 6.4407,
+      "mean_token_accuracy": 0.11157044768333435,
+      "num_tokens": 1235000.0,
+      "step": 675
+    },
+    {
+      "entropy": 6.612611961364746,
+      "epoch": 0.5633802816901409,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003395,
+      "loss": 6.4462,
+      "mean_token_accuracy": 0.108580531924963,
+      "num_tokens": 1243594.0,
+      "step": 680
+    },
+    {
+      "entropy": 6.843221950531006,
+      "epoch": 0.5675227837613919,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000342,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10460855960845947,
+      "num_tokens": 1252279.0,
+      "step": 685
+    },
+    {
+      "entropy": 6.760235929489136,
+      "epoch": 0.5716652858326429,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034449999999999997,
+      "loss": 6.559,
+      "mean_token_accuracy": 0.10665302500128745,
+      "num_tokens": 1261314.0,
+      "step": 690
+    },
+    {
+      "entropy": 6.55326566696167,
+      "epoch": 0.575807787903894,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000347,
+      "loss": 6.4337,
+      "mean_token_accuracy": 0.11188110187649727,
+      "num_tokens": 1270854.0,
+      "step": 695
+    },
+    {
+      "entropy": 6.618375587463379,
+      "epoch": 0.579950289975145,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003495,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.11392810270190239,
+      "num_tokens": 1279183.0,
+      "step": 700
+    },
+    {
+      "entropy": 6.626208257675171,
+      "epoch": 0.584092792046396,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000352,
+      "loss": 6.5015,
+      "mean_token_accuracy": 0.10761247500777245,
+      "num_tokens": 1288347.0,
+      "step": 705
+    },
+    {
+      "entropy": 6.6855669021606445,
+      "epoch": 0.5882352941176471,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003545,
+      "loss": 6.5036,
+      "mean_token_accuracy": 0.10823310390114785,
+      "num_tokens": 1297449.0,
+      "step": 710
+    },
+    {
+      "entropy": 6.710147094726563,
+      "epoch": 0.5923777961888981,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000357,
+      "loss": 6.4688,
+      "mean_token_accuracy": 0.10904998034238815,
+      "num_tokens": 1306232.0,
+      "step": 715
+    },
+    {
+      "entropy": 6.6553794860839846,
+      "epoch": 0.5965202982601492,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003595,
+      "loss": 6.4857,
+      "mean_token_accuracy": 0.11109372302889824,
+      "num_tokens": 1315073.0,
+      "step": 720
+    },
+    {
+      "entropy": 6.674065732955933,
+      "epoch": 0.6006628003314002,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000362,
+      "loss": 6.5301,
+      "mean_token_accuracy": 0.10648825243115426,
+      "num_tokens": 1324629.0,
+      "step": 725
+    },
+    {
+      "entropy": 6.700368881225586,
+      "epoch": 0.6048053024026512,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0003645,
+      "loss": 6.6444,
+      "mean_token_accuracy": 0.10443340390920638,
+      "num_tokens": 1334152.0,
+      "step": 730
+    },
+    {
+      "entropy": 6.779498624801636,
+      "epoch": 0.6089478044739023,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000367,
+      "loss": 6.5946,
+      "mean_token_accuracy": 0.10130336955189705,
+      "num_tokens": 1343063.0,
+      "step": 735
+    },
+    {
+      "entropy": 6.684298419952393,
+      "epoch": 0.6130903065451533,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0003695,
+      "loss": 6.5241,
+      "mean_token_accuracy": 0.10516620799899101,
+      "num_tokens": 1352632.0,
+      "step": 740
+    },
+    {
+      "entropy": 6.582866573333741,
+      "epoch": 0.6172328086164043,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000372,
+      "loss": 6.4712,
+      "mean_token_accuracy": 0.10765027329325676,
+      "num_tokens": 1361103.0,
+      "step": 745
+    },
+    {
+      "entropy": 6.643687963485718,
+      "epoch": 0.6213753106876554,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003745,
+      "loss": 6.4642,
+      "mean_token_accuracy": 0.10832677409052849,
+      "num_tokens": 1370658.0,
+      "step": 750
+    },
+    {
+      "entropy": 6.64506516456604,
+      "epoch": 0.6255178127589064,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000377,
+      "loss": 6.4878,
+      "mean_token_accuracy": 0.10808288529515267,
+      "num_tokens": 1379817.0,
+      "step": 755
+    },
+    {
+      "entropy": 6.640752458572388,
+      "epoch": 0.6296603148301574,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003795,
+      "loss": 6.4418,
+      "mean_token_accuracy": 0.10874675288796425,
+      "num_tokens": 1389329.0,
+      "step": 760
+    },
+    {
+      "entropy": 6.4627049446105955,
+      "epoch": 0.6338028169014085,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000382,
+      "loss": 6.4902,
+      "mean_token_accuracy": 0.10606684386730195,
+      "num_tokens": 1399279.0,
+      "step": 765
+    },
+    {
+      "entropy": 6.621781063079834,
+      "epoch": 0.6379453189726595,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003845,
+      "loss": 6.4146,
+      "mean_token_accuracy": 0.11267002299427986,
+      "num_tokens": 1408765.0,
+      "step": 770
+    },
+    {
+      "entropy": 6.736465692520142,
+      "epoch": 0.6420878210439105,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038700000000000003,
+      "loss": 6.5632,
+      "mean_token_accuracy": 0.10607504546642303,
+      "num_tokens": 1418615.0,
+      "step": 775
+    },
+    {
+      "entropy": 6.616378879547119,
+      "epoch": 0.6462303231151616,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038950000000000003,
+      "loss": 6.4664,
+      "mean_token_accuracy": 0.10207068845629692,
+      "num_tokens": 1427359.0,
+      "step": 780
+    },
+    {
+      "entropy": 6.70065336227417,
+      "epoch": 0.6503728251864126,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00039200000000000004,
+      "loss": 6.622,
+      "mean_token_accuracy": 0.1116428442299366,
+      "num_tokens": 1435516.0,
+      "step": 785
+    },
+    {
+      "entropy": 6.709064102172851,
+      "epoch": 0.6545153272576636,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00039450000000000005,
+      "loss": 6.5704,
+      "mean_token_accuracy": 0.10583743155002594,
+      "num_tokens": 1444438.0,
+      "step": 790
+    },
+    {
+      "entropy": 6.671351766586303,
+      "epoch": 0.6586578293289147,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00039700000000000005,
+      "loss": 6.4996,
+      "mean_token_accuracy": 0.11326526403427124,
+      "num_tokens": 1453740.0,
+      "step": 795
+    },
+    {
+      "entropy": 6.614573907852173,
+      "epoch": 0.6628003314001657,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003995,
+      "loss": 6.4874,
+      "mean_token_accuracy": 0.11111863479018211,
+      "num_tokens": 1462083.0,
+      "step": 800
+    },
+    {
+      "entropy": 6.484545516967773,
+      "epoch": 0.6669428334714167,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000402,
+      "loss": 6.4127,
+      "mean_token_accuracy": 0.1100592203438282,
+      "num_tokens": 1471459.0,
+      "step": 805
+    },
+    {
+      "entropy": 6.621589279174804,
+      "epoch": 0.6710853355426678,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004045,
+      "loss": 6.3972,
+      "mean_token_accuracy": 0.11681128293275833,
+      "num_tokens": 1480516.0,
+      "step": 810
+    },
+    {
+      "entropy": 6.421737241744995,
+      "epoch": 0.6752278376139188,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00040699999999999997,
+      "loss": 6.3,
+      "mean_token_accuracy": 0.11318568140268326,
+      "num_tokens": 1489268.0,
+      "step": 815
+    },
+    {
+      "entropy": 6.700246906280517,
+      "epoch": 0.6793703396851698,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004095,
+      "loss": 6.5174,
+      "mean_token_accuracy": 0.11110908538103104,
+      "num_tokens": 1498819.0,
+      "step": 820
+    },
+    {
+      "entropy": 6.622490644454956,
+      "epoch": 0.6835128417564209,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000412,
+      "loss": 6.501,
+      "mean_token_accuracy": 0.11033953949809075,
+      "num_tokens": 1507852.0,
+      "step": 825
+    },
+    {
+      "entropy": 6.59730544090271,
+      "epoch": 0.6876553438276719,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004145,
+      "loss": 6.5302,
+      "mean_token_accuracy": 0.11122860461473465,
+      "num_tokens": 1517538.0,
+      "step": 830
+    },
+    {
+      "entropy": 6.458763217926025,
+      "epoch": 0.6917978458989229,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000417,
+      "loss": 6.4061,
+      "mean_token_accuracy": 0.11324542313814163,
+      "num_tokens": 1525389.0,
+      "step": 835
+    },
+    {
+      "entropy": 6.57511887550354,
+      "epoch": 0.695940347970174,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004195,
+      "loss": 6.3741,
+      "mean_token_accuracy": 0.11116622686386109,
+      "num_tokens": 1534117.0,
+      "step": 840
+    },
+    {
+      "entropy": 6.522304344177246,
+      "epoch": 0.700082850041425,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000422,
+      "loss": 6.4029,
+      "mean_token_accuracy": 0.11315450444817543,
+      "num_tokens": 1542610.0,
+      "step": 845
+    },
+    {
+      "entropy": 6.5175107479095455,
+      "epoch": 0.704225352112676,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004245,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.1143906556069851,
+      "num_tokens": 1551771.0,
+      "step": 850
+    },
+    {
+      "entropy": 6.620167636871338,
+      "epoch": 0.7083678541839271,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.000427,
+      "loss": 6.5779,
+      "mean_token_accuracy": 0.10512799099087715,
+      "num_tokens": 1560231.0,
+      "step": 855
+    },
+    {
+      "entropy": 6.589151382446289,
+      "epoch": 0.7125103562551781,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004295,
+      "loss": 6.5346,
+      "mean_token_accuracy": 0.10532297939062119,
+      "num_tokens": 1569578.0,
+      "step": 860
+    },
+    {
+      "entropy": 6.563750839233398,
+      "epoch": 0.7166528583264291,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000432,
+      "loss": 6.4187,
+      "mean_token_accuracy": 0.11381370946764946,
+      "num_tokens": 1579308.0,
+      "step": 865
+    },
+    {
+      "entropy": 6.597287034988403,
+      "epoch": 0.7207953603976802,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004345,
+      "loss": 6.6081,
+      "mean_token_accuracy": 0.10267190784215927,
+      "num_tokens": 1589506.0,
+      "step": 870
+    },
+    {
+      "entropy": 6.482245397567749,
+      "epoch": 0.7249378624689312,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000437,
+      "loss": 6.3671,
+      "mean_token_accuracy": 0.11368186473846435,
+      "num_tokens": 1598127.0,
+      "step": 875
+    },
+    {
+      "entropy": 6.548954200744629,
+      "epoch": 0.7290803645401823,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004395,
+      "loss": 6.4125,
+      "mean_token_accuracy": 0.11406067088246345,
+      "num_tokens": 1608073.0,
+      "step": 880
+    },
+    {
+      "entropy": 6.551317119598389,
+      "epoch": 0.7332228666114333,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000442,
+      "loss": 6.4304,
+      "mean_token_accuracy": 0.11178040653467178,
+      "num_tokens": 1616272.0,
+      "step": 885
+    },
+    {
+      "entropy": 6.496135663986206,
+      "epoch": 0.7373653686826843,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004445,
+      "loss": 6.447,
+      "mean_token_accuracy": 0.10845504105091094,
+      "num_tokens": 1625577.0,
+      "step": 890
+    },
+    {
+      "entropy": 6.685812950134277,
+      "epoch": 0.7415078707539354,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000447,
+      "loss": 6.533,
+      "mean_token_accuracy": 0.10158233270049095,
+      "num_tokens": 1634902.0,
+      "step": 895
+    },
+    {
+      "entropy": 6.520436191558838,
+      "epoch": 0.7456503728251864,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00044950000000000003,
+      "loss": 6.4674,
+      "mean_token_accuracy": 0.10865833014249801,
+      "num_tokens": 1644131.0,
+      "step": 900
+    },
+    {
+      "entropy": 6.461379718780518,
+      "epoch": 0.7497928748964374,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00045200000000000004,
+      "loss": 6.3694,
+      "mean_token_accuracy": 0.12158194407820702,
+      "num_tokens": 1652272.0,
+      "step": 905
+    },
+    {
+      "entropy": 6.533070278167725,
+      "epoch": 0.7539353769676885,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00045450000000000004,
+      "loss": 6.4632,
+      "mean_token_accuracy": 0.11447574123740197,
+      "num_tokens": 1660962.0,
+      "step": 910
+    },
+    {
+      "entropy": 6.475569725036621,
+      "epoch": 0.7580778790389395,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045700000000000005,
+      "loss": 6.4006,
+      "mean_token_accuracy": 0.11205699220299721,
+      "num_tokens": 1670570.0,
+      "step": 915
+    },
+    {
+      "entropy": 6.526782608032226,
+      "epoch": 0.7622203811101905,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00045950000000000006,
+      "loss": 6.4497,
+      "mean_token_accuracy": 0.1096197433769703,
+      "num_tokens": 1679674.0,
+      "step": 920
+    },
+    {
+      "entropy": 6.530770015716553,
+      "epoch": 0.7663628831814416,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000462,
+      "loss": 6.4324,
+      "mean_token_accuracy": 0.11466658413410187,
+      "num_tokens": 1688849.0,
+      "step": 925
+    },
+    {
+      "entropy": 6.4163538932800295,
+      "epoch": 0.7705053852526926,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004645,
+      "loss": 6.3128,
+      "mean_token_accuracy": 0.1098814107477665,
+      "num_tokens": 1698565.0,
+      "step": 930
+    },
+    {
+      "entropy": 6.5036052703857425,
+      "epoch": 0.7746478873239436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000467,
+      "loss": 6.3986,
+      "mean_token_accuracy": 0.11683695837855339,
+      "num_tokens": 1708009.0,
+      "step": 935
+    },
+    {
+      "entropy": 6.518198871612549,
+      "epoch": 0.7787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004695,
+      "loss": 6.3878,
+      "mean_token_accuracy": 0.1126109592616558,
+      "num_tokens": 1716497.0,
+      "step": 940
+    },
+    {
+      "entropy": 6.415347719192505,
+      "epoch": 0.7829328914664457,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000472,
+      "loss": 6.4082,
+      "mean_token_accuracy": 0.12070046439766884,
+      "num_tokens": 1725609.0,
+      "step": 945
+    },
+    {
+      "entropy": 6.477306175231933,
+      "epoch": 0.7870753935376967,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004745,
+      "loss": 6.3456,
+      "mean_token_accuracy": 0.11454906165599824,
+      "num_tokens": 1734165.0,
+      "step": 950
+    },
+    {
+      "entropy": 6.454520893096924,
+      "epoch": 0.7912178956089478,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000477,
+      "loss": 6.4546,
+      "mean_token_accuracy": 0.10918105840682983,
+      "num_tokens": 1744856.0,
+      "step": 955
+    },
+    {
+      "entropy": 6.4711943626403805,
+      "epoch": 0.7953603976801988,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004795,
+      "loss": 6.4509,
+      "mean_token_accuracy": 0.10578904524445534,
+      "num_tokens": 1753386.0,
+      "step": 960
+    },
+    {
+      "entropy": 6.4536961078643795,
+      "epoch": 0.7995028997514498,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000482,
+      "loss": 6.3053,
+      "mean_token_accuracy": 0.11872726455330848,
+      "num_tokens": 1762521.0,
+      "step": 965
+    },
+    {
+      "entropy": 6.34936490058899,
+      "epoch": 0.8036454018227009,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004845,
+      "loss": 6.3765,
+      "mean_token_accuracy": 0.11444728896021843,
+      "num_tokens": 1772403.0,
+      "step": 970
+    },
+    {
+      "entropy": 6.375087881088257,
+      "epoch": 0.8077879038939519,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000487,
+      "loss": 6.2884,
+      "mean_token_accuracy": 0.11179185584187508,
+      "num_tokens": 1780924.0,
+      "step": 975
+    },
+    {
+      "entropy": 6.547906732559204,
+      "epoch": 0.8119304059652029,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004895,
+      "loss": 6.4367,
+      "mean_token_accuracy": 0.11225800514221192,
+      "num_tokens": 1789992.0,
+      "step": 980
+    },
+    {
+      "entropy": 6.421040678024292,
+      "epoch": 0.816072908036454,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000492,
+      "loss": 6.3919,
+      "mean_token_accuracy": 0.11761699616909027,
+      "num_tokens": 1799513.0,
+      "step": 985
+    },
+    {
+      "entropy": 6.332476711273193,
+      "epoch": 0.820215410107705,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0004945,
+      "loss": 6.2287,
+      "mean_token_accuracy": 0.11279567033052444,
+      "num_tokens": 1807393.0,
+      "step": 990
+    },
+    {
+      "entropy": 6.438618326187134,
+      "epoch": 0.824357912178956,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000497,
+      "loss": 6.5079,
+      "mean_token_accuracy": 0.10579989776015282,
+      "num_tokens": 1817284.0,
+      "step": 995
+    },
+    {
+      "entropy": 6.449818515777588,
+      "epoch": 0.8285004142502072,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004995,
+      "loss": 6.2996,
+      "mean_token_accuracy": 0.11799877136945724,
+      "num_tokens": 1825591.0,
+      "step": 1000
+    },
+    {
+      "epoch": 0.8285004142502072,
+      "eval_entropy": 6.222835092402216,
+      "eval_loss": 6.475013256072998,
+      "eval_mean_token_accuracy": 0.11269166863866961,
+      "eval_num_tokens": 1825591.0,
+      "eval_runtime": 2.7611,
+      "eval_samples_per_second": 1357.068,
+      "eval_steps_per_second": 169.86,
+      "step": 1000
+    },
+    {
+      "entropy": 6.457831478118896,
+      "epoch": 0.8326429163214581,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0004999998547681232,
+      "loss": 6.3959,
+      "mean_token_accuracy": 0.11798396334052086,
+      "num_tokens": 1834655.0,
+      "step": 1005
+    },
+    {
+      "entropy": 6.26599349975586,
+      "epoch": 0.8367854183927091,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004999992647639447,
+      "loss": 6.2578,
+      "mean_token_accuracy": 0.11858200430870056,
+      "num_tokens": 1844187.0,
+      "step": 1010
+    },
+    {
+      "entropy": 6.415271520614624,
+      "epoch": 0.8409279204639603,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999982209116618,
+      "loss": 6.3345,
+      "mean_token_accuracy": 0.11406200677156449,
+      "num_tokens": 1852768.0,
+      "step": 1015
+    },
+    {
+      "entropy": 6.355557584762574,
+      "epoch": 0.8450704225352113,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004999967232133796,
+      "loss": 6.3913,
+      "mean_token_accuracy": 0.12348653748631477,
+      "num_tokens": 1862095.0,
+      "step": 1020
+    },
+    {
+      "entropy": 6.427043008804321,
+      "epoch": 0.8492129246064622,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004999947716721196,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.10961534604430198,
+      "num_tokens": 1871239.0,
+      "step": 1025
+    },
+    {
+      "entropy": 6.509608554840088,
+      "epoch": 0.8533554266777134,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004999923662918179,
+      "loss": 6.4323,
+      "mean_token_accuracy": 0.11334251016378402,
+      "num_tokens": 1880065.0,
+      "step": 1030
+    },
+    {
+      "entropy": 6.417975521087646,
+      "epoch": 0.8574979287489644,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999895070773266,
+      "loss": 6.4608,
+      "mean_token_accuracy": 0.10985229611396789,
+      "num_tokens": 1889065.0,
+      "step": 1035
+    },
+    {
+      "entropy": 6.429206514358521,
+      "epoch": 0.8616404308202155,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999861940344129,
+      "loss": 6.4721,
+      "mean_token_accuracy": 0.11190373301506043,
+      "num_tokens": 1898238.0,
+      "step": 1040
+    },
+    {
+      "entropy": 6.462369585037232,
+      "epoch": 0.8657829328914665,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004999824271697597,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.12136606723070145,
+      "num_tokens": 1906780.0,
+      "step": 1045
+    },
+    {
+      "entropy": 6.506088638305664,
+      "epoch": 0.8699254349627175,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000499978206490965,
+      "loss": 6.4745,
+      "mean_token_accuracy": 0.11197563111782075,
+      "num_tokens": 1916183.0,
+      "step": 1050
+    },
+    {
+      "entropy": 6.427097368240356,
+      "epoch": 0.8740679370339686,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999735320065427,
+      "loss": 6.3371,
+      "mean_token_accuracy": 0.11927392706274986,
+      "num_tokens": 1925382.0,
+      "step": 1055
+    },
+    {
+      "entropy": 6.292429256439209,
+      "epoch": 0.8782104391052196,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999684037259216,
+      "loss": 6.1827,
+      "mean_token_accuracy": 0.1270924136042595,
+      "num_tokens": 1933639.0,
+      "step": 1060
+    },
+    {
+      "entropy": 6.3600146770477295,
+      "epoch": 0.8823529411764706,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999628216594456,
+      "loss": 6.464,
+      "mean_token_accuracy": 0.11409285366535186,
+      "num_tokens": 1943044.0,
+      "step": 1065
+    },
+    {
+      "entropy": 6.460871028900146,
+      "epoch": 0.8864954432477217,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000499956785818375,
+      "loss": 6.303,
+      "mean_token_accuracy": 0.11871922463178634,
+      "num_tokens": 1951777.0,
+      "step": 1070
+    },
+    {
+      "entropy": 6.376981210708618,
+      "epoch": 0.8906379453189727,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004999502962148843,
+      "loss": 6.3666,
+      "mean_token_accuracy": 0.1170460693538189,
+      "num_tokens": 1961356.0,
+      "step": 1075
+    },
+    {
+      "entropy": 6.439280414581299,
+      "epoch": 0.8947804473902237,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000499943352862064,
+      "loss": 6.4248,
+      "mean_token_accuracy": 0.11459407210350037,
+      "num_tokens": 1970341.0,
+      "step": 1080
+    },
+    {
+      "entropy": 6.394289827346801,
+      "epoch": 0.8989229494614748,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004999359557739194,
+      "loss": 6.2796,
+      "mean_token_accuracy": 0.12198276743292809,
+      "num_tokens": 1978576.0,
+      "step": 1085
+    },
+    {
+      "entropy": 6.319045782089233,
+      "epoch": 0.9030654515327258,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004999281049653713,
+      "loss": 6.3227,
+      "mean_token_accuracy": 0.11601013913750649,
+      "num_tokens": 1987229.0,
+      "step": 1090
+    },
+    {
+      "entropy": 6.376017141342163,
+      "epoch": 0.9072079536039768,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999198004522557,
+      "loss": 6.261,
+      "mean_token_accuracy": 0.12269015237689018,
+      "num_tokens": 1996473.0,
+      "step": 1095
+    },
+    {
+      "entropy": 6.2405853271484375,
+      "epoch": 0.9113504556752279,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999110422513237,
+      "loss": 6.286,
+      "mean_token_accuracy": 0.12056776732206345,
+      "num_tokens": 2005551.0,
+      "step": 1100
+    },
+    {
+      "entropy": 6.398191165924072,
+      "epoch": 0.9154929577464789,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999018303802414,
+      "loss": 6.3869,
+      "mean_token_accuracy": 0.11947718560695648,
+      "num_tokens": 2015012.0,
+      "step": 1105
+    },
+    {
+      "entropy": 6.374700450897217,
+      "epoch": 0.9196354598177299,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004998921648575904,
+      "loss": 6.3999,
+      "mean_token_accuracy": 0.1203969657421112,
+      "num_tokens": 2024435.0,
+      "step": 1110
+    },
+    {
+      "entropy": 6.380674362182617,
+      "epoch": 0.923777961888981,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004998820457028669,
+      "loss": 6.3005,
+      "mean_token_accuracy": 0.12089794874191284,
+      "num_tokens": 2033991.0,
+      "step": 1115
+    },
+    {
+      "entropy": 6.409522771835327,
+      "epoch": 0.927920463960232,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998714729364824,
+      "loss": 6.3017,
+      "mean_token_accuracy": 0.1228084571659565,
+      "num_tokens": 2043117.0,
+      "step": 1120
+    },
+    {
+      "entropy": 6.326260423660278,
+      "epoch": 0.932062966031483,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004998604465797634,
+      "loss": 6.3305,
+      "mean_token_accuracy": 0.11992078274488449,
+      "num_tokens": 2052304.0,
+      "step": 1125
+    },
+    {
+      "entropy": 6.251798295974732,
+      "epoch": 0.9362054681027341,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998489666549512,
+      "loss": 6.2779,
+      "mean_token_accuracy": 0.12114684730768203,
+      "num_tokens": 2061217.0,
+      "step": 1130
+    },
+    {
+      "entropy": 6.319644594192505,
+      "epoch": 0.9403479701739851,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.0004998370331852021,
+      "loss": 6.2517,
+      "mean_token_accuracy": 0.11879112273454666,
+      "num_tokens": 2070796.0,
+      "step": 1135
+    },
+    {
+      "entropy": 6.465651321411133,
+      "epoch": 0.9444904722452361,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004998246461945872,
+      "loss": 6.4037,
+      "mean_token_accuracy": 0.12191760018467904,
+      "num_tokens": 2080202.0,
+      "step": 1140
+    },
+    {
+      "entropy": 6.320812797546386,
+      "epoch": 0.9486329743164872,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004998118057080923,
+      "loss": 6.3045,
+      "mean_token_accuracy": 0.11891168132424354,
+      "num_tokens": 2089788.0,
+      "step": 1145
+    },
+    {
+      "entropy": 6.301202344894409,
+      "epoch": 0.9527754763877382,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004997985117516183,
+      "loss": 6.3462,
+      "mean_token_accuracy": 0.11142431199550629,
+      "num_tokens": 2098727.0,
+      "step": 1150
+    },
+    {
+      "entropy": 6.344118309020996,
+      "epoch": 0.9569179784589892,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997847643519803,
+      "loss": 6.226,
+      "mean_token_accuracy": 0.11924557387828827,
+      "num_tokens": 2107645.0,
+      "step": 1155
+    },
+    {
+      "entropy": 6.1790977954864506,
+      "epoch": 0.9610604805302403,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997705635369085,
+      "loss": 6.1991,
+      "mean_token_accuracy": 0.11988648250699044,
+      "num_tokens": 2116613.0,
+      "step": 1160
+    },
+    {
+      "entropy": 6.284418439865112,
+      "epoch": 0.9652029826014913,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004997559093350474,
+      "loss": 6.1881,
+      "mean_token_accuracy": 0.12116428092122078,
+      "num_tokens": 2125585.0,
+      "step": 1165
+    },
+    {
+      "entropy": 6.396596622467041,
+      "epoch": 0.9693454846727423,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004997408017759562,
+      "loss": 6.3359,
+      "mean_token_accuracy": 0.11936862170696258,
+      "num_tokens": 2134795.0,
+      "step": 1170
+    },
+    {
+      "entropy": 6.273751878738404,
+      "epoch": 0.9734879867439934,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004997252408901084,
+      "loss": 6.3271,
+      "mean_token_accuracy": 0.11899949684739113,
+      "num_tokens": 2143699.0,
+      "step": 1175
+    },
+    {
+      "entropy": 6.386678028106689,
+      "epoch": 0.9776304888152444,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004997092267088922,
+      "loss": 6.2707,
+      "mean_token_accuracy": 0.11861606612801552,
+      "num_tokens": 2152187.0,
+      "step": 1180
+    },
+    {
+      "entropy": 6.275117111206055,
+      "epoch": 0.9817729908864954,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004996927592646097,
+      "loss": 6.3412,
+      "mean_token_accuracy": 0.11767763197422028,
+      "num_tokens": 2160941.0,
+      "step": 1185
+    },
+    {
+      "entropy": 6.339710283279419,
+      "epoch": 0.9859154929577465,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004996758385904776,
+      "loss": 6.3119,
+      "mean_token_accuracy": 0.11789651140570641,
+      "num_tokens": 2168946.0,
+      "step": 1190
+    },
+    {
+      "entropy": 6.181374216079712,
+      "epoch": 0.9900579950289975,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004996584647206269,
+      "loss": 6.2237,
+      "mean_token_accuracy": 0.12055367529392243,
+      "num_tokens": 2177662.0,
+      "step": 1195
+    },
+    {
+      "entropy": 6.316773986816406,
+      "epoch": 0.9942004971002486,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004996406376901026,
+      "loss": 6.3268,
+      "mean_token_accuracy": 0.12757316455245019,
+      "num_tokens": 2187461.0,
+      "step": 1200
+    },
+    {
+      "entropy": 6.283385133743286,
+      "epoch": 0.9983429991714996,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004996223575348635,
+      "loss": 6.2207,
+      "mean_token_accuracy": 0.12578138560056687,
+      "num_tokens": 2196878.0,
+      "step": 1205
+    },
+    {
+      "entropy": 6.311019659042358,
+      "epoch": 1.0024855012427507,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004996036242917828,
+      "loss": 6.2021,
+      "mean_token_accuracy": 0.1151522897183895,
+      "num_tokens": 2206178.0,
+      "step": 1210
+    },
+    {
+      "entropy": 6.25421667098999,
+      "epoch": 1.0066280033140016,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004995844379986476,
+      "loss": 6.0526,
+      "mean_token_accuracy": 0.12476176023483276,
+      "num_tokens": 2215330.0,
+      "step": 1215
+    },
+    {
+      "entropy": 6.309921216964722,
+      "epoch": 1.0107705053852527,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004995647986941587,
+      "loss": 6.0354,
+      "mean_token_accuracy": 0.13005029112100602,
+      "num_tokens": 2224146.0,
+      "step": 1220
+    },
+    {
+      "entropy": 6.241363286972046,
+      "epoch": 1.0149130074565038,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004995447064179308,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13421598002314566,
+      "num_tokens": 2233646.0,
+      "step": 1225
+    },
+    {
+      "entropy": 6.058859920501709,
+      "epoch": 1.0190555095277547,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.000499524161210492,
+      "loss": 5.9379,
+      "mean_token_accuracy": 0.12560308948159218,
+      "num_tokens": 2243663.0,
+      "step": 1230
+    },
+    {
+      "entropy": 6.270004224777222,
+      "epoch": 1.0231980115990058,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004995031631132844,
+      "loss": 6.1035,
+      "mean_token_accuracy": 0.13170127123594283,
+      "num_tokens": 2252564.0,
+      "step": 1235
+    },
+    {
+      "entropy": 6.2710247993469235,
+      "epoch": 1.027340513670257,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004994817121686633,
+      "loss": 6.099,
+      "mean_token_accuracy": 0.12465815395116805,
+      "num_tokens": 2262504.0,
+      "step": 1240
+    },
+    {
+      "entropy": 6.193396997451782,
+      "epoch": 1.0314830157415078,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004994598084198979,
+      "loss": 5.9843,
+      "mean_token_accuracy": 0.1374910719692707,
+      "num_tokens": 2270553.0,
+      "step": 1245
+    },
+    {
+      "entropy": 6.136552810668945,
+      "epoch": 1.035625517812759,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004994374519111701,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.1272726461291313,
+      "num_tokens": 2279319.0,
+      "step": 1250
+    },
+    {
+      "entropy": 6.217378282546997,
+      "epoch": 1.03976801988401,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004994146426875757,
+      "loss": 6.123,
+      "mean_token_accuracy": 0.126935476064682,
+      "num_tokens": 2288749.0,
+      "step": 1255
+    },
+    {
+      "entropy": 6.218695068359375,
+      "epoch": 1.043910521955261,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004993913807951232,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.12562426924705505,
+      "num_tokens": 2298272.0,
+      "step": 1260
+    },
+    {
+      "entropy": 6.221994352340698,
+      "epoch": 1.048053024026512,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004993676662807345,
+      "loss": 6.047,
+      "mean_token_accuracy": 0.12884460240602494,
+      "num_tokens": 2307230.0,
+      "step": 1265
+    },
+    {
+      "entropy": 6.183428144454956,
+      "epoch": 1.0521955260977631,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004993434991922443,
+      "loss": 6.1317,
+      "mean_token_accuracy": 0.12460145726799965,
+      "num_tokens": 2316306.0,
+      "step": 1270
+    },
+    {
+      "entropy": 6.22090425491333,
+      "epoch": 1.056338028169014,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004993188795784002,
+      "loss": 6.0531,
+      "mean_token_accuracy": 0.1241947129368782,
+      "num_tokens": 2325672.0,
+      "step": 1275
+    },
+    {
+      "entropy": 6.1453857421875,
+      "epoch": 1.0604805302402651,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004992938074888628,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.1274007849395275,
+      "num_tokens": 2335251.0,
+      "step": 1280
+    },
+    {
+      "entropy": 6.180039167404175,
+      "epoch": 1.0646230323115162,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004992682829742052,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.1308726042509079,
+      "num_tokens": 2344054.0,
+      "step": 1285
+    },
+    {
+      "entropy": 6.086296463012696,
+      "epoch": 1.0687655343827671,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004992423060859132,
+      "loss": 6.0236,
+      "mean_token_accuracy": 0.127706591039896,
+      "num_tokens": 2353493.0,
+      "step": 1290
+    },
+    {
+      "entropy": 6.223158740997315,
+      "epoch": 1.0729080364540182,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004992158768763849,
+      "loss": 6.1321,
+      "mean_token_accuracy": 0.12850543335080147,
+      "num_tokens": 2362687.0,
+      "step": 1295
+    },
+    {
+      "entropy": 6.2506636619567875,
+      "epoch": 1.0770505385252693,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004991889953989308,
+      "loss": 6.0965,
+      "mean_token_accuracy": 0.12563316524028778,
+      "num_tokens": 2372325.0,
+      "step": 1300
+    },
+    {
+      "entropy": 6.173602199554443,
+      "epoch": 1.0811930405965202,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004991616617077741,
+      "loss": 6.12,
+      "mean_token_accuracy": 0.1287991665303707,
+      "num_tokens": 2381987.0,
+      "step": 1305
+    },
+    {
+      "entropy": 6.307486963272095,
+      "epoch": 1.0853355426677713,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004991338758580496,
+      "loss": 6.0234,
+      "mean_token_accuracy": 0.13178783878684044,
+      "num_tokens": 2390901.0,
+      "step": 1310
+    },
+    {
+      "entropy": 6.034789133071899,
+      "epoch": 1.0894780447390224,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004991056379058045,
+      "loss": 6.0813,
+      "mean_token_accuracy": 0.12450421676039695,
+      "num_tokens": 2400756.0,
+      "step": 1315
+    },
+    {
+      "entropy": 6.188017988204956,
+      "epoch": 1.0936205468102733,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004990769479079976,
+      "loss": 5.9232,
+      "mean_token_accuracy": 0.12984196096658707,
+      "num_tokens": 2409526.0,
+      "step": 1320
+    },
+    {
+      "entropy": 6.086554956436157,
+      "epoch": 1.0977630488815244,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004990478059225003,
+      "loss": 6.0931,
+      "mean_token_accuracy": 0.12972966134548186,
+      "num_tokens": 2419583.0,
+      "step": 1325
+    },
+    {
+      "entropy": 6.2457873821258545,
+      "epoch": 1.1019055509527755,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004990182120080945,
+      "loss": 6.0338,
+      "mean_token_accuracy": 0.12990806251764297,
+      "num_tokens": 2429439.0,
+      "step": 1330
+    },
+    {
+      "entropy": 6.078778219223023,
+      "epoch": 1.1060480530240264,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004989881662244748,
+      "loss": 6.0416,
+      "mean_token_accuracy": 0.12380676046013832,
+      "num_tokens": 2438467.0,
+      "step": 1335
+    },
+    {
+      "entropy": 6.138932418823242,
+      "epoch": 1.1101905550952775,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004989576686322468,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.1332716926932335,
+      "num_tokens": 2446619.0,
+      "step": 1340
+    },
+    {
+      "entropy": 6.1281578540802,
+      "epoch": 1.1143330571665286,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004989267192929272,
+      "loss": 6.0379,
+      "mean_token_accuracy": 0.12955363765358924,
+      "num_tokens": 2454998.0,
+      "step": 1345
+    },
+    {
+      "entropy": 6.09554443359375,
+      "epoch": 1.1184755592377795,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004988953182689445,
+      "loss": 6.0072,
+      "mean_token_accuracy": 0.13532012328505516,
+      "num_tokens": 2463497.0,
+      "step": 1350
+    },
+    {
+      "entropy": 6.134703922271728,
+      "epoch": 1.1226180613090306,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004988634656236378,
+      "loss": 5.9216,
+      "mean_token_accuracy": 0.13609320148825646,
+      "num_tokens": 2471763.0,
+      "step": 1355
+    },
+    {
+      "entropy": 6.145527791976929,
+      "epoch": 1.1267605633802817,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004988311614212576,
+      "loss": 6.0016,
+      "mean_token_accuracy": 0.1402701161801815,
+      "num_tokens": 2479949.0,
+      "step": 1360
+    },
+    {
+      "entropy": 6.116470623016357,
+      "epoch": 1.1309030654515326,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004987984057269648,
+      "loss": 6.0539,
+      "mean_token_accuracy": 0.13444141745567323,
+      "num_tokens": 2489097.0,
+      "step": 1365
+    },
+    {
+      "entropy": 5.972180604934692,
+      "epoch": 1.1350455675227837,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004987651986068311,
+      "loss": 5.8781,
+      "mean_token_accuracy": 0.13601028621196748,
+      "num_tokens": 2497625.0,
+      "step": 1370
+    },
+    {
+      "entropy": 6.143597984313965,
+      "epoch": 1.1391880695940348,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004987315401278394,
+      "loss": 6.1252,
+      "mean_token_accuracy": 0.1272761717438698,
+      "num_tokens": 2507107.0,
+      "step": 1375
+    },
+    {
+      "entropy": 6.286170959472656,
+      "epoch": 1.143330571665286,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004986974303578819,
+      "loss": 6.1408,
+      "mean_token_accuracy": 0.12348597794771195,
+      "num_tokens": 2516629.0,
+      "step": 1380
+    },
+    {
+      "entropy": 6.077923250198364,
+      "epoch": 1.1474730737365368,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004986628693657621,
+      "loss": 6.021,
+      "mean_token_accuracy": 0.1280151717364788,
+      "num_tokens": 2525924.0,
+      "step": 1385
+    },
+    {
+      "entropy": 6.229060649871826,
+      "epoch": 1.151615575807788,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004986278572211933,
+      "loss": 6.1723,
+      "mean_token_accuracy": 0.1280426375567913,
+      "num_tokens": 2535586.0,
+      "step": 1390
+    },
+    {
+      "entropy": 6.189875984191895,
+      "epoch": 1.1557580778790388,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004985923939947987,
+      "loss": 6.2595,
+      "mean_token_accuracy": 0.1247698113322258,
+      "num_tokens": 2546685.0,
+      "step": 1395
+    },
+    {
+      "entropy": 6.148470640182495,
+      "epoch": 1.15990057995029,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004985564797581115,
+      "loss": 5.9681,
+      "mean_token_accuracy": 0.12971177995204924,
+      "num_tokens": 2556873.0,
+      "step": 1400
+    },
+    {
+      "entropy": 6.143459701538086,
+      "epoch": 1.164043082021541,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004985201145835747,
+      "loss": 5.9836,
+      "mean_token_accuracy": 0.13127154856920242,
+      "num_tokens": 2565222.0,
+      "step": 1405
+    },
+    {
+      "entropy": 6.031957960128784,
+      "epoch": 1.1681855840927922,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.000498483298544541,
+      "loss": 5.9875,
+      "mean_token_accuracy": 0.13211632743477822,
+      "num_tokens": 2575467.0,
+      "step": 1410
+    },
+    {
+      "entropy": 6.136318731307983,
+      "epoch": 1.172328086164043,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000498446031715272,
+      "loss": 6.0125,
+      "mean_token_accuracy": 0.13508019223809242,
+      "num_tokens": 2583963.0,
+      "step": 1415
+    },
+    {
+      "entropy": 6.133963680267334,
+      "epoch": 1.1764705882352942,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004984083141709391,
+      "loss": 6.042,
+      "mean_token_accuracy": 0.13524071872234344,
+      "num_tokens": 2593350.0,
+      "step": 1420
+    },
+    {
+      "entropy": 5.975436115264893,
+      "epoch": 1.180613090306545,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000498370145987623,
+      "loss": 5.9652,
+      "mean_token_accuracy": 0.13682079091668128,
+      "num_tokens": 2602191.0,
+      "step": 1425
+    },
+    {
+      "entropy": 6.170718050003051,
+      "epoch": 1.1847555923777962,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004983315272423127,
+      "loss": 6.0999,
+      "mean_token_accuracy": 0.1291058838367462,
+      "num_tokens": 2613590.0,
+      "step": 1430
+    },
+    {
+      "entropy": 6.049332237243652,
+      "epoch": 1.1888980944490473,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004982924580129066,
+      "loss": 5.8895,
+      "mean_token_accuracy": 0.1340464949607849,
+      "num_tokens": 2622072.0,
+      "step": 1435
+    },
+    {
+      "entropy": 6.093293142318726,
+      "epoch": 1.1930405965202984,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004982529383782116,
+      "loss": 6.1012,
+      "mean_token_accuracy": 0.13022035285830497,
+      "num_tokens": 2630904.0,
+      "step": 1440
+    },
+    {
+      "entropy": 6.189996242523193,
+      "epoch": 1.1971830985915493,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004982129684179432,
+      "loss": 6.0594,
+      "mean_token_accuracy": 0.13088259026408194,
+      "num_tokens": 2639925.0,
+      "step": 1445
+    },
+    {
+      "entropy": 6.1187131881713865,
+      "epoch": 1.2013256006628004,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004981725482127251,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.13439981341362,
+      "num_tokens": 2649397.0,
+      "step": 1450
+    },
+    {
+      "entropy": 6.16315655708313,
+      "epoch": 1.2054681027340513,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004981316778440892,
+      "loss": 6.081,
+      "mean_token_accuracy": 0.13515593931078912,
+      "num_tokens": 2658877.0,
+      "step": 1455
+    },
+    {
+      "entropy": 6.063838720321655,
+      "epoch": 1.2096106048053024,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004980903573944756,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13121431767940522,
+      "num_tokens": 2668518.0,
+      "step": 1460
+    },
+    {
+      "entropy": 6.059180212020874,
+      "epoch": 1.2137531068765535,
+      "grad_norm": 1.0078125,
+      "learning_rate": 0.0004980485869472322,
+      "loss": 6.1148,
+      "mean_token_accuracy": 0.12996160089969636,
+      "num_tokens": 2677459.0,
+      "step": 1465
+    },
+    {
+      "entropy": 6.223527908325195,
+      "epoch": 1.2178956089478046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004980063665866143,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12482839822769165,
+      "num_tokens": 2686668.0,
+      "step": 1470
+    },
+    {
+      "entropy": 5.935272264480591,
+      "epoch": 1.2220381110190555,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004979636963977853,
+      "loss": 5.8825,
+      "mean_token_accuracy": 0.1352998949587345,
+      "num_tokens": 2695545.0,
+      "step": 1475
+    },
+    {
+      "entropy": 6.066101598739624,
+      "epoch": 1.2261806130903066,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004979205764668156,
+      "loss": 6.0569,
+      "mean_token_accuracy": 0.13228241056203843,
+      "num_tokens": 2705514.0,
+      "step": 1480
+    },
+    {
+      "entropy": 6.138315343856812,
+      "epoch": 1.2303231151615575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004978770068806825,
+      "loss": 5.9599,
+      "mean_token_accuracy": 0.13136665150523186,
+      "num_tokens": 2714373.0,
+      "step": 1485
+    },
+    {
+      "entropy": 6.061770391464234,
+      "epoch": 1.2344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.000497832987727271,
+      "loss": 6.0715,
+      "mean_token_accuracy": 0.1264137916266918,
+      "num_tokens": 2723887.0,
+      "step": 1490
+    },
+    {
+      "entropy": 6.061756038665772,
+      "epoch": 1.2386081193040597,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004977885190953724,
+      "loss": 5.956,
+      "mean_token_accuracy": 0.13353569880127908,
+      "num_tokens": 2733591.0,
+      "step": 1495
+    },
+    {
+      "entropy": 6.104292392730713,
+      "epoch": 1.2427506213753108,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004977436010746846,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.13720986992120743,
+      "num_tokens": 2741638.0,
+      "step": 1500
+    },
+    {
+      "epoch": 1.2427506213753108,
+      "eval_entropy": 6.029743814773397,
+      "eval_loss": 6.2611613273620605,
+      "eval_mean_token_accuracy": 0.12890694399219332,
+      "eval_num_tokens": 2741638.0,
+      "eval_runtime": 2.9518,
+      "eval_samples_per_second": 1269.399,
+      "eval_steps_per_second": 158.887,
+      "step": 1500
+    },
+    {
+      "entropy": 6.078821802139283,
+      "epoch": 1.2468931234465617,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004976982337558124,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13084649220108985,
+      "num_tokens": 2749711.0,
+      "step": 1505
+    },
+    {
+      "entropy": 6.094208097457885,
+      "epoch": 1.2510356255178128,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004976524172302665,
+      "loss": 6.121,
+      "mean_token_accuracy": 0.13192041367292404,
+      "num_tokens": 2758121.0,
+      "step": 1510
+    },
+    {
+      "entropy": 6.159745693206787,
+      "epoch": 1.2551781275890637,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004976061515904641,
+      "loss": 6.1181,
+      "mean_token_accuracy": 0.12667254582047463,
+      "num_tokens": 2766764.0,
+      "step": 1515
+    },
+    {
+      "entropy": 6.116680526733399,
+      "epoch": 1.2593206296603148,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004975594369297277,
+      "loss": 6.0557,
+      "mean_token_accuracy": 0.1348518520593643,
+      "num_tokens": 2775561.0,
+      "step": 1520
+    },
+    {
+      "entropy": 6.08063235282898,
+      "epoch": 1.2634631317315659,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004975122733422861,
+      "loss": 6.0201,
+      "mean_token_accuracy": 0.13085112273693084,
+      "num_tokens": 2784691.0,
+      "step": 1525
+    },
+    {
+      "entropy": 6.129113435745239,
+      "epoch": 1.267605633802817,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004974646609232732,
+      "loss": 5.9816,
+      "mean_token_accuracy": 0.13641836866736412,
+      "num_tokens": 2793893.0,
+      "step": 1530
+    },
+    {
+      "entropy": 6.108260202407837,
+      "epoch": 1.2717481358740679,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004974165997687288,
+      "loss": 6.0751,
+      "mean_token_accuracy": 0.13353196606040002,
+      "num_tokens": 2804479.0,
+      "step": 1535
+    },
+    {
+      "entropy": 6.16022138595581,
+      "epoch": 1.275890637945319,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004973680899755972,
+      "loss": 6.107,
+      "mean_token_accuracy": 0.1326654002070427,
+      "num_tokens": 2813966.0,
+      "step": 1540
+    },
+    {
+      "entropy": 6.007886743545532,
+      "epoch": 1.2800331400165699,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000497319131641728,
+      "loss": 5.9326,
+      "mean_token_accuracy": 0.13846119418740271,
+      "num_tokens": 2822328.0,
+      "step": 1545
+    },
+    {
+      "entropy": 6.003260755538941,
+      "epoch": 1.284175642087821,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004972697248658755,
+      "loss": 5.8899,
+      "mean_token_accuracy": 0.14066707715392113,
+      "num_tokens": 2829845.0,
+      "step": 1550
+    },
+    {
+      "entropy": 5.948832178115845,
+      "epoch": 1.288318144159072,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004972198697476987,
+      "loss": 5.8783,
+      "mean_token_accuracy": 0.13914238885045052,
+      "num_tokens": 2839040.0,
+      "step": 1555
+    },
+    {
+      "entropy": 5.961882209777832,
+      "epoch": 1.2924606462303232,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004971695663877607,
+      "loss": 5.9665,
+      "mean_token_accuracy": 0.13561231270432472,
+      "num_tokens": 2848574.0,
+      "step": 1560
+    },
+    {
+      "entropy": 6.077086877822876,
+      "epoch": 1.296603148301574,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004971188148875289,
+      "loss": 5.9421,
+      "mean_token_accuracy": 0.14444561377167703,
+      "num_tokens": 2856812.0,
+      "step": 1565
+    },
+    {
+      "entropy": 6.051652336120606,
+      "epoch": 1.3007456503728252,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004970676153493748,
+      "loss": 6.0283,
+      "mean_token_accuracy": 0.13189572617411613,
+      "num_tokens": 2866001.0,
+      "step": 1570
+    },
+    {
+      "entropy": 6.1068840503692625,
+      "epoch": 1.3048881524440763,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004970159678765731,
+      "loss": 6.0164,
+      "mean_token_accuracy": 0.13239546120166779,
+      "num_tokens": 2875181.0,
+      "step": 1575
+    },
+    {
+      "entropy": 6.049808597564697,
+      "epoch": 1.3090306545153272,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004969638725733028,
+      "loss": 5.9587,
+      "mean_token_accuracy": 0.13397156223654746,
+      "num_tokens": 2885103.0,
+      "step": 1580
+    },
+    {
+      "entropy": 5.92131872177124,
+      "epoch": 1.3131731565865783,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004969113295446455,
+      "loss": 5.9116,
+      "mean_token_accuracy": 0.1383065924048424,
+      "num_tokens": 2894055.0,
+      "step": 1585
+    },
+    {
+      "entropy": 6.116864538192749,
+      "epoch": 1.3173156586578294,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004968583388965863,
+      "loss": 5.9846,
+      "mean_token_accuracy": 0.133075200766325,
+      "num_tokens": 2903391.0,
+      "step": 1590
+    },
+    {
+      "entropy": 6.006745624542236,
+      "epoch": 1.3214581607290803,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004968049007360132,
+      "loss": 5.9854,
+      "mean_token_accuracy": 0.13297903537750244,
+      "num_tokens": 2911760.0,
+      "step": 1595
+    },
+    {
+      "entropy": 5.926331329345703,
+      "epoch": 1.3256006628003314,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004967510151707169,
+      "loss": 5.9369,
+      "mean_token_accuracy": 0.13469143435359002,
+      "num_tokens": 2920589.0,
+      "step": 1600
+    },
+    {
+      "entropy": 6.15295524597168,
+      "epoch": 1.3297431648715825,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004966966823093903,
+      "loss": 6.0746,
+      "mean_token_accuracy": 0.1302391268312931,
+      "num_tokens": 2929635.0,
+      "step": 1605
+    },
+    {
+      "entropy": 5.986531114578247,
+      "epoch": 1.3338856669428334,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004966419022616287,
+      "loss": 5.9349,
+      "mean_token_accuracy": 0.13593596145510672,
+      "num_tokens": 2938778.0,
+      "step": 1610
+    },
+    {
+      "entropy": 6.039755535125733,
+      "epoch": 1.3380281690140845,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004965866751379296,
+      "loss": 6.0503,
+      "mean_token_accuracy": 0.13109695687890052,
+      "num_tokens": 2947836.0,
+      "step": 1615
+    },
+    {
+      "entropy": 6.133180904388428,
+      "epoch": 1.3421706710853356,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004965310010496922,
+      "loss": 6.0032,
+      "mean_token_accuracy": 0.1280514419078827,
+      "num_tokens": 2957028.0,
+      "step": 1620
+    },
+    {
+      "entropy": 6.026159048080444,
+      "epoch": 1.3463131731565865,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004964748801092168,
+      "loss": 5.9571,
+      "mean_token_accuracy": 0.1338861681520939,
+      "num_tokens": 2966088.0,
+      "step": 1625
+    },
+    {
+      "entropy": 6.078959226608276,
+      "epoch": 1.3504556752278376,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004964183124297059,
+      "loss": 6.0438,
+      "mean_token_accuracy": 0.13178688064217567,
+      "num_tokens": 2975271.0,
+      "step": 1630
+    },
+    {
+      "entropy": 5.992210865020752,
+      "epoch": 1.3545981772990887,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004963612981252625,
+      "loss": 6.0524,
+      "mean_token_accuracy": 0.1321226365864277,
+      "num_tokens": 2983799.0,
+      "step": 1635
+    },
+    {
+      "entropy": 6.056794929504394,
+      "epoch": 1.3587406793703396,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004963038373108908,
+      "loss": 6.0179,
+      "mean_token_accuracy": 0.13609340488910676,
+      "num_tokens": 2992675.0,
+      "step": 1640
+    },
+    {
+      "entropy": 6.155933427810669,
+      "epoch": 1.3628831814415907,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004962459301024954,
+      "loss": 6.0838,
+      "mean_token_accuracy": 0.13211635649204254,
+      "num_tokens": 3002483.0,
+      "step": 1645
+    },
+    {
+      "entropy": 6.027872896194458,
+      "epoch": 1.3670256835128418,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004961875766168816,
+      "loss": 5.985,
+      "mean_token_accuracy": 0.13883458971977233,
+      "num_tokens": 3010611.0,
+      "step": 1650
+    },
+    {
+      "entropy": 6.057289028167725,
+      "epoch": 1.371168185584093,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004961287769717547,
+      "loss": 5.9397,
+      "mean_token_accuracy": 0.13197456523776055,
+      "num_tokens": 3019928.0,
+      "step": 1655
+    },
+    {
+      "entropy": 5.9325989246368405,
+      "epoch": 1.3753106876553438,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004960695312857199,
+      "loss": 5.9279,
+      "mean_token_accuracy": 0.13408055454492568,
+      "num_tokens": 3029003.0,
+      "step": 1660
+    },
+    {
+      "entropy": 6.0389604568481445,
+      "epoch": 1.379453189726595,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004960098396782824,
+      "loss": 5.9464,
+      "mean_token_accuracy": 0.1375861033797264,
+      "num_tokens": 3038049.0,
+      "step": 1665
+    },
+    {
+      "entropy": 5.969662141799927,
+      "epoch": 1.3835956917978458,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004959497022698466,
+      "loss": 5.9515,
+      "mean_token_accuracy": 0.14408120438456534,
+      "num_tokens": 3046674.0,
+      "step": 1670
+    },
+    {
+      "entropy": 6.0561059474945065,
+      "epoch": 1.387738193869097,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004958891191817163,
+      "loss": 5.9927,
+      "mean_token_accuracy": 0.12801324650645257,
+      "num_tokens": 3056459.0,
+      "step": 1675
+    },
+    {
+      "entropy": 6.032327270507812,
+      "epoch": 1.391880695940348,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000495828090536094,
+      "loss": 5.9845,
+      "mean_token_accuracy": 0.13036760538816453,
+      "num_tokens": 3066294.0,
+      "step": 1680
+    },
+    {
+      "entropy": 6.0512574195861815,
+      "epoch": 1.3960231980115991,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004957666164560815,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13139644563198088,
+      "num_tokens": 3075420.0,
+      "step": 1685
+    },
+    {
+      "entropy": 6.063203239440918,
+      "epoch": 1.40016570008285,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004957046970656784,
+      "loss": 6.0385,
+      "mean_token_accuracy": 0.13581736162304878,
+      "num_tokens": 3084373.0,
+      "step": 1690
+    },
+    {
+      "entropy": 6.00097541809082,
+      "epoch": 1.4043082021541011,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004956423324897831,
+      "loss": 6.0257,
+      "mean_token_accuracy": 0.13937310948967935,
+      "num_tokens": 3094212.0,
+      "step": 1695
+    },
+    {
+      "entropy": 6.043115425109863,
+      "epoch": 1.408450704225352,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004955795228541917,
+      "loss": 5.9589,
+      "mean_token_accuracy": 0.14452596232295037,
+      "num_tokens": 3102769.0,
+      "step": 1700
+    },
+    {
+      "entropy": 6.040110731124878,
+      "epoch": 1.4125932062966031,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000495516268285598,
+      "loss": 5.9805,
+      "mean_token_accuracy": 0.13440805301070213,
+      "num_tokens": 3111465.0,
+      "step": 1705
+    },
+    {
+      "entropy": 5.978239822387695,
+      "epoch": 1.4167357083678542,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004954525689115935,
+      "loss": 5.9177,
+      "mean_token_accuracy": 0.13326097056269645,
+      "num_tokens": 3121106.0,
+      "step": 1710
+    },
+    {
+      "entropy": 6.007881164550781,
+      "epoch": 1.4208782104391053,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004953884248606669,
+      "loss": 5.945,
+      "mean_token_accuracy": 0.14831372052431108,
+      "num_tokens": 3130662.0,
+      "step": 1715
+    },
+    {
+      "entropy": 5.97642674446106,
+      "epoch": 1.4250207125103562,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004953238362622034,
+      "loss": 5.9812,
+      "mean_token_accuracy": 0.13328263983130456,
+      "num_tokens": 3139538.0,
+      "step": 1720
+    },
+    {
+      "entropy": 6.0256367206573485,
+      "epoch": 1.4291632145816073,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004952588032464855,
+      "loss": 6.0298,
+      "mean_token_accuracy": 0.12707214802503586,
+      "num_tokens": 3148552.0,
+      "step": 1725
+    },
+    {
+      "entropy": 5.996851205825806,
+      "epoch": 1.4333057166528582,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004951933259446919,
+      "loss": 5.9365,
+      "mean_token_accuracy": 0.14197203740477563,
+      "num_tokens": 3156549.0,
+      "step": 1730
+    },
+    {
+      "entropy": 6.114988136291504,
+      "epoch": 1.4374482187241093,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004951274044888975,
+      "loss": 6.1006,
+      "mean_token_accuracy": 0.12147112190723419,
+      "num_tokens": 3166821.0,
+      "step": 1735
+    },
+    {
+      "entropy": 5.960144329071045,
+      "epoch": 1.4415907207953604,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004950610390120731,
+      "loss": 5.9848,
+      "mean_token_accuracy": 0.135729306191206,
+      "num_tokens": 3174962.0,
+      "step": 1740
+    },
+    {
+      "entropy": 6.087535095214844,
+      "epoch": 1.4457332228666115,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000494994229648085,
+      "loss": 5.8903,
+      "mean_token_accuracy": 0.13537728488445283,
+      "num_tokens": 3184027.0,
+      "step": 1745
+    },
+    {
+      "entropy": 5.957475805282593,
+      "epoch": 1.4498757249378624,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004949269765316948,
+      "loss": 6.0321,
+      "mean_token_accuracy": 0.13071285635232927,
+      "num_tokens": 3193186.0,
+      "step": 1750
+    },
+    {
+      "entropy": 6.171153354644775,
+      "epoch": 1.4540182270091135,
+      "grad_norm": 2.140625,
+      "learning_rate": 0.0004948592797985599,
+      "loss": 6.0525,
+      "mean_token_accuracy": 0.13555259853601456,
+      "num_tokens": 3202676.0,
+      "step": 1755
+    },
+    {
+      "entropy": 6.123908805847168,
+      "epoch": 1.4581607290803644,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947911395852317,
+      "loss": 6.1524,
+      "mean_token_accuracy": 0.1352410912513733,
+      "num_tokens": 3211950.0,
+      "step": 1760
+    },
+    {
+      "entropy": 6.120599699020386,
+      "epoch": 1.4623032311516155,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947225560291565,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12961760386824608,
+      "num_tokens": 3221135.0,
+      "step": 1765
+    },
+    {
+      "entropy": 5.962483358383179,
+      "epoch": 1.4664457332228666,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004946535292686746,
+      "loss": 5.8975,
+      "mean_token_accuracy": 0.13825839310884475,
+      "num_tokens": 3230174.0,
+      "step": 1770
+    },
+    {
+      "entropy": 5.979943370819091,
+      "epoch": 1.4705882352941178,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004945840594430209,
+      "loss": 5.8871,
+      "mean_token_accuracy": 0.1381668671965599,
+      "num_tokens": 3238898.0,
+      "step": 1775
+    },
+    {
+      "entropy": 5.973515844345092,
+      "epoch": 1.4747307373653686,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004945141466923235,
+      "loss": 5.9292,
+      "mean_token_accuracy": 0.14479121565818787,
+      "num_tokens": 3247550.0,
+      "step": 1780
+    },
+    {
+      "entropy": 6.113377714157105,
+      "epoch": 1.4788732394366197,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004944437911576041,
+      "loss": 6.0779,
+      "mean_token_accuracy": 0.12900342419743538,
+      "num_tokens": 3256810.0,
+      "step": 1785
+    },
+    {
+      "entropy": 5.9020613670349125,
+      "epoch": 1.4830157415078706,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004943729929807772,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.139550269395113,
+      "num_tokens": 3265886.0,
+      "step": 1790
+    },
+    {
+      "entropy": 6.06021089553833,
+      "epoch": 1.4871582435791217,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004943017523046507,
+      "loss": 5.9273,
+      "mean_token_accuracy": 0.137468421459198,
+      "num_tokens": 3274522.0,
+      "step": 1795
+    },
+    {
+      "entropy": 6.027210426330567,
+      "epoch": 1.4913007456503728,
+      "grad_norm": 1.25,
+      "learning_rate": 0.000494230069272925,
+      "loss": 6.0486,
+      "mean_token_accuracy": 0.13558472618460654,
+      "num_tokens": 3283388.0,
+      "step": 1800
+    },
+    {
+      "entropy": 5.989331531524658,
+      "epoch": 1.495443247721624,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004941579440301923,
+      "loss": 5.9224,
+      "mean_token_accuracy": 0.1305856943130493,
+      "num_tokens": 3291887.0,
+      "step": 1805
+    },
+    {
+      "entropy": 5.96136965751648,
+      "epoch": 1.4995857497928748,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940853767219372,
+      "loss": 5.9685,
+      "mean_token_accuracy": 0.13564062863588333,
+      "num_tokens": 3300674.0,
+      "step": 1810
+    },
+    {
+      "entropy": 5.9364429950714115,
+      "epoch": 1.503728251864126,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940123674945359,
+      "loss": 5.8311,
+      "mean_token_accuracy": 0.13808463513851166,
+      "num_tokens": 3309745.0,
+      "step": 1815
+    },
+    {
+      "entropy": 6.076629638671875,
+      "epoch": 1.5078707539353768,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004939389164952561,
+      "loss": 5.9722,
+      "mean_token_accuracy": 0.1378110609948635,
+      "num_tokens": 3318888.0,
+      "step": 1820
+    },
+    {
+      "entropy": 5.8970863819122314,
+      "epoch": 1.512013256006628,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004938650238722564,
+      "loss": 5.9296,
+      "mean_token_accuracy": 0.13823849260807036,
+      "num_tokens": 3328274.0,
+      "step": 1825
+    },
+    {
+      "entropy": 6.003948831558228,
+      "epoch": 1.516155758077879,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004937906897745861,
+      "loss": 5.9387,
+      "mean_token_accuracy": 0.1468382939696312,
+      "num_tokens": 3337579.0,
+      "step": 1830
+    },
+    {
+      "entropy": 6.045965003967285,
+      "epoch": 1.5202982601491302,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004937159143521856,
+      "loss": 5.9081,
+      "mean_token_accuracy": 0.14555162489414214,
+      "num_tokens": 3346262.0,
+      "step": 1835
+    },
+    {
+      "entropy": 5.972390079498291,
+      "epoch": 1.5244407622203813,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004936406977558847,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.13030771315097808,
+      "num_tokens": 3354833.0,
+      "step": 1840
+    },
+    {
+      "entropy": 6.051387977600098,
+      "epoch": 1.5285832642916322,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004935650401374039,
+      "loss": 6.0906,
+      "mean_token_accuracy": 0.14119647368788718,
+      "num_tokens": 3364314.0,
+      "step": 1845
+    },
+    {
+      "entropy": 6.046140813827515,
+      "epoch": 1.532725766362883,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004934889416493524,
+      "loss": 5.9157,
+      "mean_token_accuracy": 0.13524662256240844,
+      "num_tokens": 3373648.0,
+      "step": 1850
+    },
+    {
+      "entropy": 5.863892507553101,
+      "epoch": 1.5368682684341342,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004934124024452295,
+      "loss": 5.7869,
+      "mean_token_accuracy": 0.1471114367246628,
+      "num_tokens": 3382919.0,
+      "step": 1855
+    },
+    {
+      "entropy": 5.888700532913208,
+      "epoch": 1.5410107705053853,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004933354226794232,
+      "loss": 5.9383,
+      "mean_token_accuracy": 0.1432707317173481,
+      "num_tokens": 3391814.0,
+      "step": 1860
+    },
+    {
+      "entropy": 6.080925798416137,
+      "epoch": 1.5451532725766364,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004932580025072098,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.13580586463212968,
+      "num_tokens": 3400392.0,
+      "step": 1865
+    },
+    {
+      "entropy": 5.996384525299073,
+      "epoch": 1.5492957746478875,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004931801420847545,
+      "loss": 6.036,
+      "mean_token_accuracy": 0.13089759424328803,
+      "num_tokens": 3410430.0,
+      "step": 1870
+    },
+    {
+      "entropy": 5.932257795333863,
+      "epoch": 1.5534382767191384,
+      "grad_norm": 0.9609375,
+      "learning_rate": 0.0004931018415691102,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.13694921880960464,
+      "num_tokens": 3420654.0,
+      "step": 1875
+    },
+    {
+      "entropy": 5.951343011856079,
+      "epoch": 1.5575807787903893,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004930231011182176,
+      "loss": 5.9986,
+      "mean_token_accuracy": 0.13937177062034606,
+      "num_tokens": 3430514.0,
+      "step": 1880
+    },
+    {
+      "entropy": 6.071512508392334,
+      "epoch": 1.5617232808616404,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004929439208909048,
+      "loss": 5.9331,
+      "mean_token_accuracy": 0.1375361390411854,
+      "num_tokens": 3439551.0,
+      "step": 1885
+    },
+    {
+      "entropy": 5.902947330474854,
+      "epoch": 1.5658657829328915,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004928643010468869,
+      "loss": 5.8911,
+      "mean_token_accuracy": 0.13622887432575226,
+      "num_tokens": 3448160.0,
+      "step": 1890
+    },
+    {
+      "entropy": 5.993059539794922,
+      "epoch": 1.5700082850041426,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004927842417467659,
+      "loss": 5.9517,
+      "mean_token_accuracy": 0.14548188596963882,
+      "num_tokens": 3457296.0,
+      "step": 1895
+    },
+    {
+      "entropy": 6.027637386322022,
+      "epoch": 1.5741507870753937,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004927037431520302,
+      "loss": 5.9073,
+      "mean_token_accuracy": 0.14102519080042838,
+      "num_tokens": 3466108.0,
+      "step": 1900
+    },
+    {
+      "entropy": 5.975209665298462,
+      "epoch": 1.5782932891466446,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004926228054250541,
+      "loss": 5.9941,
+      "mean_token_accuracy": 0.14009249955415726,
+      "num_tokens": 3475336.0,
+      "step": 1905
+    },
+    {
+      "entropy": 6.073916673660278,
+      "epoch": 1.5824357912178955,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004925414287290979,
+      "loss": 5.9668,
+      "mean_token_accuracy": 0.13723743334412575,
+      "num_tokens": 3483963.0,
+      "step": 1910
+    },
+    {
+      "entropy": 5.848618030548096,
+      "epoch": 1.5865782932891466,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004924596132283075,
+      "loss": 5.8765,
+      "mean_token_accuracy": 0.14485997408628465,
+      "num_tokens": 3492947.0,
+      "step": 1915
+    },
+    {
+      "entropy": 5.966853284835816,
+      "epoch": 1.5907207953603977,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004923773590877135,
+      "loss": 5.9651,
+      "mean_token_accuracy": 0.13334692791104316,
+      "num_tokens": 3501877.0,
+      "step": 1920
+    },
+    {
+      "entropy": 6.042904996871949,
+      "epoch": 1.5948632974316488,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004922946664732314,
+      "loss": 6.0304,
+      "mean_token_accuracy": 0.13204361274838447,
+      "num_tokens": 3510610.0,
+      "step": 1925
+    },
+    {
+      "entropy": 6.0583656311035154,
+      "epoch": 1.5990057995029,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004922115355516615,
+      "loss": 5.9841,
+      "mean_token_accuracy": 0.13304307833313941,
+      "num_tokens": 3519829.0,
+      "step": 1930
+    },
+    {
+      "entropy": 6.015839862823486,
+      "epoch": 1.6031483015741508,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004921279664906877,
+      "loss": 5.9661,
+      "mean_token_accuracy": 0.13071200698614122,
+      "num_tokens": 3529408.0,
+      "step": 1935
+    },
+    {
+      "entropy": 5.924501991271972,
+      "epoch": 1.6072908036454017,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004920439594588781,
+      "loss": 5.8955,
+      "mean_token_accuracy": 0.14675913602113724,
+      "num_tokens": 3538068.0,
+      "step": 1940
+    },
+    {
+      "entropy": 6.051935148239136,
+      "epoch": 1.6114333057166528,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000491959514625684,
+      "loss": 6.0177,
+      "mean_token_accuracy": 0.13845598921179772,
+      "num_tokens": 3547302.0,
+      "step": 1945
+    },
+    {
+      "entropy": 5.956210565567017,
+      "epoch": 1.6155758077879039,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00049187463216144,
+      "loss": 5.9024,
+      "mean_token_accuracy": 0.145584287494421,
+      "num_tokens": 3556087.0,
+      "step": 1950
+    },
+    {
+      "entropy": 6.046857452392578,
+      "epoch": 1.619718309859155,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.000491789312237363,
+      "loss": 5.9857,
+      "mean_token_accuracy": 0.13579782098531723,
+      "num_tokens": 3566235.0,
+      "step": 1955
+    },
+    {
+      "entropy": 5.983897924423218,
+      "epoch": 1.623860811930406,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004917035550255528,
+      "loss": 5.899,
+      "mean_token_accuracy": 0.14092317298054696,
+      "num_tokens": 3574762.0,
+      "step": 1960
+    },
+    {
+      "entropy": 5.904513597488403,
+      "epoch": 1.628003314001657,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000491617360698991,
+      "loss": 5.8837,
+      "mean_token_accuracy": 0.139695380628109,
+      "num_tokens": 3583359.0,
+      "step": 1965
+    },
+    {
+      "entropy": 5.920687866210938,
+      "epoch": 1.6321458160729079,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004915307294315412,
+      "loss": 5.8505,
+      "mean_token_accuracy": 0.14011457338929176,
+      "num_tokens": 3591436.0,
+      "step": 1970
+    },
+    {
+      "entropy": 5.926318550109864,
+      "epoch": 1.636288318144159,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.000491443661397948,
+      "loss": 5.9355,
+      "mean_token_accuracy": 0.13468224480748175,
+      "num_tokens": 3601054.0,
+      "step": 1975
+    },
+    {
+      "entropy": 5.974443817138672,
+      "epoch": 1.64043082021541,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004913561567738368,
+      "loss": 5.9014,
+      "mean_token_accuracy": 0.1383673779666424,
+      "num_tokens": 3610641.0,
+      "step": 1980
+    },
+    {
+      "entropy": 5.912512636184692,
+      "epoch": 1.6445733222866612,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004912682157357146,
+      "loss": 5.8447,
+      "mean_token_accuracy": 0.13975749984383584,
+      "num_tokens": 3619351.0,
+      "step": 1985
+    },
+    {
+      "entropy": 5.853101539611816,
+      "epoch": 1.6487158243579123,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004911798384609675,
+      "loss": 5.8306,
+      "mean_token_accuracy": 0.1472959376871586,
+      "num_tokens": 3627341.0,
+      "step": 1990
+    },
+    {
+      "entropy": 5.942045879364014,
+      "epoch": 1.6528583264291632,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004910910251278626,
+      "loss": 5.8918,
+      "mean_token_accuracy": 0.14801610112190247,
+      "num_tokens": 3637132.0,
+      "step": 1995
+    },
+    {
+      "entropy": 5.919465351104736,
+      "epoch": 1.6570008285004143,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004910017759155458,
+      "loss": 5.9479,
+      "mean_token_accuracy": 0.1400071859359741,
+      "num_tokens": 3646196.0,
+      "step": 2000
+    },
+    {
+      "epoch": 1.6570008285004143,
+      "eval_entropy": 5.874394122979789,
+      "eval_loss": 6.1148576736450195,
+      "eval_mean_token_accuracy": 0.1363023624046525,
+      "eval_num_tokens": 3646196.0,
+      "eval_runtime": 2.7574,
+      "eval_samples_per_second": 1358.871,
+      "eval_steps_per_second": 170.085,
+      "step": 2000
+    },
+    {
+      "entropy": 5.967284250259399,
+      "epoch": 1.6611433305716652,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004909120910040427,
+      "loss": 5.8839,
+      "mean_token_accuracy": 0.1461731344461441,
+      "num_tokens": 3654658.0,
+      "step": 2005
+    },
+    {
+      "entropy": 6.045904684066772,
+      "epoch": 1.6652858326429163,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004908219705742574,
+      "loss": 6.1605,
+      "mean_token_accuracy": 0.13489469960331918,
+      "num_tokens": 3664509.0,
+      "step": 2010
+    },
+    {
+      "entropy": 6.002130031585693,
+      "epoch": 1.6694283347141674,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004907314148079727,
+      "loss": 5.8567,
+      "mean_token_accuracy": 0.1425239197909832,
+      "num_tokens": 3672983.0,
+      "step": 2015
+    },
+    {
+      "entropy": 5.708412790298462,
+      "epoch": 1.6735708367854185,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004906404238878496,
+      "loss": 5.7221,
+      "mean_token_accuracy": 0.14639501571655272,
+      "num_tokens": 3681196.0,
+      "step": 2020
+    },
+    {
+      "entropy": 5.97982873916626,
+      "epoch": 1.6777133388566694,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004905489979974265,
+      "loss": 5.9098,
+      "mean_token_accuracy": 0.14081615954637527,
+      "num_tokens": 3690077.0,
+      "step": 2025
+    },
+    {
+      "entropy": 5.942774772644043,
+      "epoch": 1.6818558409279205,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004904571373211197,
+      "loss": 5.9906,
+      "mean_token_accuracy": 0.13563016131520272,
+      "num_tokens": 3700121.0,
+      "step": 2030
+    },
+    {
+      "entropy": 5.897730588912964,
+      "epoch": 1.6859983429991714,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000490364842044222,
+      "loss": 5.8074,
+      "mean_token_accuracy": 0.14530285224318504,
+      "num_tokens": 3709618.0,
+      "step": 2035
+    },
+    {
+      "entropy": 5.954602289199829,
+      "epoch": 1.6901408450704225,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004902721123529031,
+      "loss": 5.9869,
+      "mean_token_accuracy": 0.12953415215015412,
+      "num_tokens": 3719570.0,
+      "step": 2040
+    },
+    {
+      "entropy": 6.074023342132568,
+      "epoch": 1.6942833471416736,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000490178948434209,
+      "loss": 5.9267,
+      "mean_token_accuracy": 0.14249598532915114,
+      "num_tokens": 3729354.0,
+      "step": 2045
+    },
+    {
+      "entropy": 5.833365964889526,
+      "epoch": 1.6984258492129247,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004900853504760614,
+      "loss": 5.8409,
+      "mean_token_accuracy": 0.14450331926345825,
+      "num_tokens": 3738453.0,
+      "step": 2050
+    },
+    {
+      "entropy": 5.888468265533447,
+      "epoch": 1.7025683512841756,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004899913186672577,
+      "loss": 5.8165,
+      "mean_token_accuracy": 0.14293194860219954,
+      "num_tokens": 3747815.0,
+      "step": 2055
+    },
+    {
+      "entropy": 5.914711236953735,
+      "epoch": 1.7067108533554267,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004898968531974702,
+      "loss": 5.9249,
+      "mean_token_accuracy": 0.14642315953969956,
+      "num_tokens": 3757298.0,
+      "step": 2060
+    },
+    {
+      "entropy": 5.978992033004761,
+      "epoch": 1.7108533554266776,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004898019542572462,
+      "loss": 5.9124,
+      "mean_token_accuracy": 0.14719650894403458,
+      "num_tokens": 3765939.0,
+      "step": 2065
+    },
+    {
+      "entropy": 6.005469894409179,
+      "epoch": 1.7149958574979287,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004897066220380073,
+      "loss": 5.933,
+      "mean_token_accuracy": 0.13779435828328132,
+      "num_tokens": 3775160.0,
+      "step": 2070
+    },
+    {
+      "entropy": 5.921374797821045,
+      "epoch": 1.7191383595691798,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004896108567320489,
+      "loss": 5.831,
+      "mean_token_accuracy": 0.14186858981847764,
+      "num_tokens": 3785181.0,
+      "step": 2075
+    },
+    {
+      "entropy": 5.972924375534058,
+      "epoch": 1.723280861640431,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048951465853254,
+      "loss": 5.9444,
+      "mean_token_accuracy": 0.14323145076632499,
+      "num_tokens": 3794531.0,
+      "step": 2080
+    },
+    {
+      "entropy": 5.953138160705566,
+      "epoch": 1.7274233637116818,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004894180276335231,
+      "loss": 5.934,
+      "mean_token_accuracy": 0.1396125227212906,
+      "num_tokens": 3804602.0,
+      "step": 2085
+    },
+    {
+      "entropy": 5.9721667766571045,
+      "epoch": 1.731565865782933,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004893209642299132,
+      "loss": 5.97,
+      "mean_token_accuracy": 0.1395590640604496,
+      "num_tokens": 3813394.0,
+      "step": 2090
+    },
+    {
+      "entropy": 5.97849326133728,
+      "epoch": 1.7357083678541838,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004892234685174976,
+      "loss": 5.962,
+      "mean_token_accuracy": 0.13808128908276557,
+      "num_tokens": 3821604.0,
+      "step": 2095
+    },
+    {
+      "entropy": 5.967495775222778,
+      "epoch": 1.739850869925435,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004891255406929359,
+      "loss": 5.9564,
+      "mean_token_accuracy": 0.13652343899011612,
+      "num_tokens": 3831977.0,
+      "step": 2100
+    },
+    {
+      "entropy": 5.98737063407898,
+      "epoch": 1.743993371996686,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004890271809537595,
+      "loss": 5.9017,
+      "mean_token_accuracy": 0.1393343411386013,
+      "num_tokens": 3840684.0,
+      "step": 2105
+    },
+    {
+      "entropy": 5.870862340927124,
+      "epoch": 1.7481358740679371,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004889283894983704,
+      "loss": 5.8147,
+      "mean_token_accuracy": 0.1389534741640091,
+      "num_tokens": 3851147.0,
+      "step": 2110
+    },
+    {
+      "entropy": 6.002704238891601,
+      "epoch": 1.752278376139188,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000488829166526042,
+      "loss": 5.9838,
+      "mean_token_accuracy": 0.13991605415940284,
+      "num_tokens": 3859881.0,
+      "step": 2115
+    },
+    {
+      "entropy": 5.948231506347656,
+      "epoch": 1.7564208782104391,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004887295122369176,
+      "loss": 6.0107,
+      "mean_token_accuracy": 0.13371825441718102,
+      "num_tokens": 3870151.0,
+      "step": 2120
+    },
+    {
+      "entropy": 5.99525203704834,
+      "epoch": 1.76056338028169,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.000488629426832011,
+      "loss": 5.9313,
+      "mean_token_accuracy": 0.13850879445672035,
+      "num_tokens": 3878398.0,
+      "step": 2125
+    },
+    {
+      "entropy": 5.924004030227661,
+      "epoch": 1.7647058823529411,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004885289105132054,
+      "loss": 5.8893,
+      "mean_token_accuracy": 0.14114601090550422,
+      "num_tokens": 3888007.0,
+      "step": 2130
+    },
+    {
+      "entropy": 5.930246257781983,
+      "epoch": 1.7688483844241922,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004884279634832532,
+      "loss": 5.8728,
+      "mean_token_accuracy": 0.14278061985969542,
+      "num_tokens": 3896945.0,
+      "step": 2135
+    },
+    {
+      "entropy": 5.940092372894287,
+      "epoch": 1.7729908864954433,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004883265859457754,
+      "loss": 5.8905,
+      "mean_token_accuracy": 0.1457919418811798,
+      "num_tokens": 3906049.0,
+      "step": 2140
+    },
+    {
+      "entropy": 5.866062164306641,
+      "epoch": 1.7771333885666944,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048822477810526186,
+      "loss": 5.8422,
+      "mean_token_accuracy": 0.1388966679573059,
+      "num_tokens": 3915050.0,
+      "step": 2145
+    },
+    {
+      "entropy": 5.966696119308471,
+      "epoch": 1.7812758906379453,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00048812254016706994,
+      "loss": 5.9205,
+      "mean_token_accuracy": 0.14728582575917243,
+      "num_tokens": 3924031.0,
+      "step": 2150
+    },
+    {
+      "entropy": 5.915832757949829,
+      "epoch": 1.7854183927091962,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004880198723374247,
+      "loss": 5.9776,
+      "mean_token_accuracy": 0.14149753525853156,
+      "num_tokens": 3933756.0,
+      "step": 2155
+    },
+    {
+      "entropy": 5.959774684906006,
+      "epoch": 1.7895608947804473,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048791677482341845,
+      "loss": 5.9592,
+      "mean_token_accuracy": 0.13750381171703338,
+      "num_tokens": 3943129.0,
+      "step": 2160
+    },
+    {
+      "entropy": 5.881538438796997,
+      "epoch": 1.7937033968516984,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048781324783301016,
+      "loss": 5.7912,
+      "mean_token_accuracy": 0.14508036673069,
+      "num_tokens": 3951494.0,
+      "step": 2165
+    },
+    {
+      "entropy": 5.946735525131226,
+      "epoch": 1.7978458989229495,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048770929157502505,
+      "loss": 5.9565,
+      "mean_token_accuracy": 0.143115097284317,
+      "num_tokens": 3960588.0,
+      "step": 2170
+    },
+    {
+      "entropy": 5.9805809497833256,
+      "epoch": 1.8019884009942007,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004876049062591543,
+      "loss": 5.9226,
+      "mean_token_accuracy": 0.13506680428981782,
+      "num_tokens": 3970135.0,
+      "step": 2175
+    },
+    {
+      "entropy": 5.950060653686523,
+      "epoch": 1.8061309030654515,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048750009209595443,
+      "loss": 5.9042,
+      "mean_token_accuracy": 0.13944360390305519,
+      "num_tokens": 3979569.0,
+      "step": 2180
+    },
+    {
+      "entropy": 5.88271656036377,
+      "epoch": 1.8102734051367024,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048739484929684714,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.144245932251215,
+      "num_tokens": 3987885.0,
+      "step": 2185
+    },
+    {
+      "entropy": 5.933677864074707,
+      "epoch": 1.8144159072079535,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048728917807411856,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.13125594183802605,
+      "num_tokens": 3997726.0,
+      "step": 2190
+    },
+    {
+      "entropy": 6.008653068542481,
+      "epoch": 1.8185584092792046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004871830786409191,
+      "loss": 5.8436,
+      "mean_token_accuracy": 0.14898036047816277,
+      "num_tokens": 4006437.0,
+      "step": 2195
+    },
+    {
+      "entropy": 5.856683444976807,
+      "epoch": 1.8227009113504558,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00048707655121126296,
+      "loss": 5.8124,
+      "mean_token_accuracy": 0.14927435666322708,
+      "num_tokens": 4015326.0,
+      "step": 2200
+    },
+    {
+      "entropy": 5.924995994567871,
+      "epoch": 1.8268434134217069,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048696959600002767,
+      "loss": 5.8722,
+      "mean_token_accuracy": 0.14032577201724053,
+      "num_tokens": 4024294.0,
+      "step": 2205
+    },
+    {
+      "entropy": 5.881852293014527,
+      "epoch": 1.8309859154929577,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048686221322295347,
+      "loss": 5.9028,
+      "mean_token_accuracy": 0.14340249821543694,
+      "num_tokens": 4033341.0,
+      "step": 2210
+    },
+    {
+      "entropy": 5.951443433761597,
+      "epoch": 1.8351284175642086,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048675440309664314,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.1474481076002121,
+      "num_tokens": 4042446.0,
+      "step": 2215
+    },
+    {
+      "entropy": 5.832607173919678,
+      "epoch": 1.8392709196354597,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00048664616583856166,
+      "loss": 5.8924,
+      "mean_token_accuracy": 0.13868724405765534,
+      "num_tokens": 4051849.0,
+      "step": 2220
+    },
+    {
+      "entropy": 6.026660823822022,
+      "epoch": 1.8434134217067109,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00048653750166703516,
+      "loss": 5.9855,
+      "mean_token_accuracy": 0.1381051518023014,
+      "num_tokens": 4061075.0,
+      "step": 2225
+    },
+    {
+      "entropy": 5.976817560195923,
+      "epoch": 1.847555923777962,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004864284108012513,
+      "loss": 5.9524,
+      "mean_token_accuracy": 0.13498588278889656,
+      "num_tokens": 4071022.0,
+      "step": 2230
+    },
+    {
+      "entropy": 5.884273719787598,
+      "epoch": 1.851698425849213,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004863188934612583,
+      "loss": 5.854,
+      "mean_token_accuracy": 0.1435965158045292,
+      "num_tokens": 4080728.0,
+      "step": 2235
+    },
+    {
+      "entropy": 5.8848789691925045,
+      "epoch": 1.855840927920464,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004862089498679645,
+      "loss": 5.8121,
+      "mean_token_accuracy": 0.15146355628967284,
+      "num_tokens": 4088712.0,
+      "step": 2240
+    },
+    {
+      "entropy": 5.904728364944458,
+      "epoch": 1.8599834299917148,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004860985802431383,
+      "loss": 5.8445,
+      "mean_token_accuracy": 0.14107747822999955,
+      "num_tokens": 4097488.0,
+      "step": 2245
+    },
+    {
+      "entropy": 5.815548610687256,
+      "epoch": 1.864125932062966,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004859877848094071,
+      "loss": 5.8328,
+      "mean_token_accuracy": 0.14647450745105745,
+      "num_tokens": 4106485.0,
+      "step": 2250
+    },
+    {
+      "entropy": 5.969652986526489,
+      "epoch": 1.868268434134217,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004858765637902575,
+      "loss": 5.8016,
+      "mean_token_accuracy": 0.14588006138801574,
+      "num_tokens": 4115806.0,
+      "step": 2255
+    },
+    {
+      "entropy": 5.982199335098267,
+      "epoch": 1.8724109362054682,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004857649174100344,
+      "loss": 5.9353,
+      "mean_token_accuracy": 0.14478921219706536,
+      "num_tokens": 4124636.0,
+      "step": 2260
+    },
+    {
+      "entropy": 5.869907474517822,
+      "epoch": 1.8765534382767193,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.0004856528458939409,
+      "loss": 5.8948,
+      "mean_token_accuracy": 0.13403457626700402,
+      "num_tokens": 4133876.0,
+      "step": 2265
+    },
+    {
+      "entropy": 5.836872100830078,
+      "epoch": 1.8806959403479702,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004855403494680373,
+      "loss": 5.8159,
+      "mean_token_accuracy": 0.14096100330352784,
+      "num_tokens": 4143555.0,
+      "step": 2270
+    },
+    {
+      "entropy": 5.871636962890625,
+      "epoch": 1.884838442419221,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00048542742835924133,
+      "loss": 5.7773,
+      "mean_token_accuracy": 0.14253296032547952,
+      "num_tokens": 4153007.0,
+      "step": 2275
+    },
+    {
+      "entropy": 5.766701364517212,
+      "epoch": 1.8889809444904722,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048531408279532705,
+      "loss": 5.8171,
+      "mean_token_accuracy": 0.14552054405212403,
+      "num_tokens": 4162107.0,
+      "step": 2280
+    },
+    {
+      "entropy": 5.884533357620239,
+      "epoch": 1.8931234465617233,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048520031300492507,
+      "loss": 5.8208,
+      "mean_token_accuracy": 0.14203491136431695,
+      "num_tokens": 4170920.0,
+      "step": 2285
+    },
+    {
+      "entropy": 5.9367118835449215,
+      "epoch": 1.8972659486329744,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048508611921752124,
+      "loss": 5.8366,
+      "mean_token_accuracy": 0.14547978863120078,
+      "num_tokens": 4180226.0,
+      "step": 2290
+    },
+    {
+      "entropy": 5.804201984405518,
+      "epoch": 1.9014084507042255,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00048497150166345703,
+      "loss": 5.7799,
+      "mean_token_accuracy": 0.14307984560728074,
+      "num_tokens": 4189283.0,
+      "step": 2295
+    },
+    {
+      "entropy": 5.833661937713623,
+      "epoch": 1.9055509527754764,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004848564605739287,
+      "loss": 5.8181,
+      "mean_token_accuracy": 0.14286661818623542,
+      "num_tokens": 4199017.0,
+      "step": 2300
+    },
+    {
+      "entropy": 5.985245418548584,
+      "epoch": 1.9096934548467275,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048474099618098644,
+      "loss": 5.9557,
+      "mean_token_accuracy": 0.13776218444108962,
+      "num_tokens": 4207756.0,
+      "step": 2305
+    },
+    {
+      "entropy": 5.926583385467529,
+      "epoch": 1.9138359569179784,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004846251087175348,
+      "loss": 5.8467,
+      "mean_token_accuracy": 0.14270823299884797,
+      "num_tokens": 4216721.0,
+      "step": 2310
+    },
+    {
+      "entropy": 5.816466999053955,
+      "epoch": 1.9179784589892295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004845087984173312,
+      "loss": 5.8214,
+      "mean_token_accuracy": 0.14952016696333886,
+      "num_tokens": 4225596.0,
+      "step": 2315
+    },
+    {
+      "entropy": 5.975145244598389,
+      "epoch": 1.9221209610604806,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048439206551498644,
+      "loss": 5.8881,
+      "mean_token_accuracy": 0.14604572355747222,
+      "num_tokens": 4234500.0,
+      "step": 2320
+    },
+    {
+      "entropy": 5.83410792350769,
+      "epoch": 1.9262634631317317,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004842749102459635,
+      "loss": 5.8331,
+      "mean_token_accuracy": 0.14477182626724244,
+      "num_tokens": 4243240.0,
+      "step": 2325
+    },
+    {
+      "entropy": 5.799895906448365,
+      "epoch": 1.9304059652029826,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048415733284657727,
+      "loss": 5.8249,
+      "mean_token_accuracy": 0.14724751114845275,
+      "num_tokens": 4251892.0,
+      "step": 2330
+    },
+    {
+      "entropy": 5.914888668060303,
+      "epoch": 1.9345484672742337,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004840393335539943,
+      "loss": 5.784,
+      "mean_token_accuracy": 0.14537777602672577,
+      "num_tokens": 4261447.0,
+      "step": 2335
+    },
+    {
+      "entropy": 5.93565788269043,
+      "epoch": 1.9386909693454846,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048392091260623195,
+      "loss": 5.9202,
+      "mean_token_accuracy": 0.1471864774823189,
+      "num_tokens": 4270120.0,
+      "step": 2340
+    },
+    {
+      "entropy": 5.905978488922119,
+      "epoch": 1.9428334714167357,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048380207024215836,
+      "loss": 5.7991,
+      "mean_token_accuracy": 0.1482786476612091,
+      "num_tokens": 4278300.0,
+      "step": 2345
+    },
+    {
+      "entropy": 5.905145263671875,
+      "epoch": 1.9469759734879868,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00048368280670149145,
+      "loss": 5.8487,
+      "mean_token_accuracy": 0.1461447760462761,
+      "num_tokens": 4286454.0,
+      "step": 2350
+    },
+    {
+      "entropy": 5.805000495910645,
+      "epoch": 1.951118475559238,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004835631222247989,
+      "loss": 5.7243,
+      "mean_token_accuracy": 0.15050614029169082,
+      "num_tokens": 4294752.0,
+      "step": 2355
+    },
+    {
+      "entropy": 5.907592630386352,
+      "epoch": 1.9552609776304888,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00048344301705349735,
+      "loss": 5.7974,
+      "mean_token_accuracy": 0.14830030649900436,
+      "num_tokens": 4303195.0,
+      "step": 2360
+    },
+    {
+      "entropy": 5.841587924957276,
+      "epoch": 1.95940347970174,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048332249142985195,
+      "loss": 5.9211,
+      "mean_token_accuracy": 0.1373597078025341,
+      "num_tokens": 4311961.0,
+      "step": 2365
+    },
+    {
+      "entropy": 5.900353670120239,
+      "epoch": 1.9635459817729908,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004832015455969763,
+      "loss": 5.7748,
+      "mean_token_accuracy": 0.13879901468753814,
+      "num_tokens": 4322267.0,
+      "step": 2370
+    },
+    {
+      "entropy": 5.774641275405884,
+      "epoch": 1.9676884838442419,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048308017979883114,
+      "loss": 5.8838,
+      "mean_token_accuracy": 0.1426581546664238,
+      "num_tokens": 4330584.0,
+      "step": 2375
+    },
+    {
+      "entropy": 5.840176010131836,
+      "epoch": 1.971830985915493,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048295839428022454,
+      "loss": 5.7215,
+      "mean_token_accuracy": 0.14949245899915695,
+      "num_tokens": 4339215.0,
+      "step": 2380
+    },
+    {
+      "entropy": 5.869688034057617,
+      "epoch": 1.975973487986744,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00048283618928681127,
+      "loss": 5.7418,
+      "mean_token_accuracy": 0.1501791574060917,
+      "num_tokens": 4347711.0,
+      "step": 2385
+    },
+    {
+      "entropy": 5.764533996582031,
+      "epoch": 1.980115990057995,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004827135650650923,
+      "loss": 5.7445,
+      "mean_token_accuracy": 0.14758301600813867,
+      "num_tokens": 4356982.0,
+      "step": 2390
+    },
+    {
+      "entropy": 5.770398235321045,
+      "epoch": 1.984258492129246,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004825905218624139,
+      "loss": 5.7696,
+      "mean_token_accuracy": 0.14773683473467827,
+      "num_tokens": 4365378.0,
+      "step": 2395
+    },
+    {
+      "entropy": 5.9908288478851315,
+      "epoch": 1.988400994200497,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048246705992696756,
+      "loss": 5.8174,
+      "mean_token_accuracy": 0.14142358154058457,
+      "num_tokens": 4374007.0,
+      "step": 2400
+    },
+    {
+      "entropy": 5.9741987705230715,
+      "epoch": 1.992543496271748,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048234317950778975,
+      "loss": 5.9346,
+      "mean_token_accuracy": 0.1409923940896988,
+      "num_tokens": 4383909.0,
+      "step": 2405
+    },
+    {
+      "entropy": 5.967488718032837,
+      "epoch": 1.9966859983429992,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004822188808547607,
+      "loss": 5.9967,
+      "mean_token_accuracy": 0.13560240790247918,
+      "num_tokens": 4393145.0,
+      "step": 2410
+    },
+    {
+      "entropy": 5.751282596588135,
+      "epoch": 2.0008285004142503,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004820941642186043,
+      "loss": 5.7146,
+      "mean_token_accuracy": 0.14043126851320267,
+      "num_tokens": 4402024.0,
+      "step": 2415
+    },
+    {
+      "entropy": 5.91456356048584,
+      "epoch": 2.0049710024855014,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004819690298508879,
+      "loss": 5.5395,
+      "mean_token_accuracy": 0.1603303700685501,
+      "num_tokens": 4411377.0,
+      "step": 2420
+    },
+    {
+      "entropy": 5.758482313156128,
+      "epoch": 2.009113504556752,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048184347800402083,
+      "loss": 5.4299,
+      "mean_token_accuracy": 0.16564757078886033,
+      "num_tokens": 4419781.0,
+      "step": 2425
+    },
+    {
+      "entropy": 5.727555131912231,
+      "epoch": 2.013256006628003,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004817175089312551,
+      "loss": 5.4154,
+      "mean_token_accuracy": 0.16400155574083328,
+      "num_tokens": 4428427.0,
+      "step": 2430
+    },
+    {
+      "entropy": 5.749885892868042,
+      "epoch": 2.0173985086992543,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048159112288668403,
+      "loss": 5.4586,
+      "mean_token_accuracy": 0.15933601409196854,
+      "num_tokens": 4438156.0,
+      "step": 2435
+    },
+    {
+      "entropy": 5.876013088226318,
+      "epoch": 2.0215410107705054,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00048146432012524215,
+      "loss": 5.4819,
+      "mean_token_accuracy": 0.16306492537260056,
+      "num_tokens": 4446342.0,
+      "step": 2440
+    },
+    {
+      "entropy": 5.738983201980591,
+      "epoch": 2.0256835128417565,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00048133710090270446,
+      "loss": 5.5229,
+      "mean_token_accuracy": 0.1542331963777542,
+      "num_tokens": 4455582.0,
+      "step": 2445
+    },
+    {
+      "entropy": 5.815389633178711,
+      "epoch": 2.0298260149130076,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048120946547568596,
+      "loss": 5.5375,
+      "mean_token_accuracy": 0.15604802072048188,
+      "num_tokens": 4464518.0,
+      "step": 2450
+    },
+    {
+      "entropy": 5.927202749252319,
+      "epoch": 2.0339685169842583,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00048108141410164133,
+      "loss": 5.6588,
+      "mean_token_accuracy": 0.14534952044486998,
+      "num_tokens": 4475031.0,
+      "step": 2455
+    },
+    {
+      "entropy": 5.8722837448120115,
+      "epoch": 2.0381110190555094,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004809529470388642,
+      "loss": 5.5396,
+      "mean_token_accuracy": 0.1577153742313385,
+      "num_tokens": 4484609.0,
+      "step": 2460
+    },
+    {
+      "entropy": 5.787671709060669,
+      "epoch": 2.0422535211267605,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004808240645464866,
+      "loss": 5.5698,
+      "mean_token_accuracy": 0.15477177649736404,
+      "num_tokens": 4494238.0,
+      "step": 2465
+    },
+    {
+      "entropy": 5.684235668182373,
+      "epoch": 2.0463960231980116,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004806947668844787,
+      "loss": 5.4573,
+      "mean_token_accuracy": 0.16172746568918228,
+      "num_tokens": 4503258.0,
+      "step": 2470
+    },
+    {
+      "entropy": 5.786364412307739,
+      "epoch": 2.0505385252692627,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048056505431364794,
+      "loss": 5.5091,
+      "mean_token_accuracy": 0.15975141078233718,
+      "num_tokens": 4512071.0,
+      "step": 2475
+    },
+    {
+      "entropy": 5.736668491363526,
+      "epoch": 2.054681027340514,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00048043492709563877,
+      "loss": 5.3461,
+      "mean_token_accuracy": 0.17059434503316878,
+      "num_tokens": 4520219.0,
+      "step": 2480
+    },
+    {
+      "entropy": 5.672813034057617,
+      "epoch": 2.0588235294117645,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048030438549293193,
+      "loss": 5.5568,
+      "mean_token_accuracy": 0.15284566581249237,
+      "num_tokens": 4529386.0,
+      "step": 2485
+    },
+    {
+      "entropy": 5.830966377258301,
+      "epoch": 2.0629660314830156,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00048017342976884424,
+      "loss": 5.5638,
+      "mean_token_accuracy": 0.15199215039610864,
+      "num_tokens": 4538860.0,
+      "step": 2490
+    },
+    {
+      "entropy": 5.761076402664185,
+      "epoch": 2.0671085335542667,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048004206018752773,
+      "loss": 5.5299,
+      "mean_token_accuracy": 0.15335657596588134,
+      "num_tokens": 4547842.0,
+      "step": 2495
+    },
+    {
+      "entropy": 5.733208799362183,
+      "epoch": 2.071251035625518,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047991027701396895,
+      "loss": 5.5026,
+      "mean_token_accuracy": 0.15411428660154342,
+      "num_tokens": 4556238.0,
+      "step": 2500
+    },
+    {
+      "epoch": 2.071251035625518,
+      "eval_entropy": 5.642364594473768,
+      "eval_loss": 6.032641410827637,
+      "eval_mean_token_accuracy": 0.1416530203399882,
+      "eval_num_tokens": 4556238.0,
+      "eval_runtime": 2.7817,
+      "eval_samples_per_second": 1347.034,
+      "eval_steps_per_second": 168.604,
+      "step": 2500
+    },
+    {
+      "entropy": 5.732073068618774,
+      "epoch": 2.075393537696769,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004797780805139892,
+      "loss": 5.5069,
+      "mean_token_accuracy": 0.1587075412273407,
+      "num_tokens": 4565684.0,
+      "step": 2505
+    },
+    {
+      "entropy": 5.722462224960327,
+      "epoch": 2.07953603976802,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004796454709542432,
+      "loss": 5.467,
+      "mean_token_accuracy": 0.1590041533112526,
+      "num_tokens": 4575001.0,
+      "step": 2510
+    },
+    {
+      "entropy": 5.797696113586426,
+      "epoch": 2.083678541839271,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004795124486022189,
+      "loss": 5.5732,
+      "mean_token_accuracy": 0.15362634360790253,
+      "num_tokens": 4584128.0,
+      "step": 2515
+    },
+    {
+      "entropy": 5.711380529403686,
+      "epoch": 2.087821043910522,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047937901372623694,
+      "loss": 5.4191,
+      "mean_token_accuracy": 0.16894411891698838,
+      "num_tokens": 4593011.0,
+      "step": 2520
+    },
+    {
+      "entropy": 5.688450145721435,
+      "epoch": 2.091963545981773,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00047924516659545005,
+      "loss": 5.4668,
+      "mean_token_accuracy": 0.16164053976535797,
+      "num_tokens": 4602676.0,
+      "step": 2525
+    },
+    {
+      "entropy": 5.79151463508606,
+      "epoch": 2.096106048053024,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004791109074798425,
+      "loss": 5.5522,
+      "mean_token_accuracy": 0.15433578938245773,
+      "num_tokens": 4611915.0,
+      "step": 2530
+    },
+    {
+      "entropy": 5.748647403717041,
+      "epoch": 2.100248550124275,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004789762366502296,
+      "loss": 5.5184,
+      "mean_token_accuracy": 0.15959300100803375,
+      "num_tokens": 4621396.0,
+      "step": 2535
+    },
+    {
+      "entropy": 5.7374598503112795,
+      "epoch": 2.1043910521955262,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004788411543782571,
+      "loss": 5.5201,
+      "mean_token_accuracy": 0.1591552659869194,
+      "num_tokens": 4630533.0,
+      "step": 2540
+    },
+    {
+      "entropy": 5.678498649597168,
+      "epoch": 2.108533554266777,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004787056609364008,
+      "loss": 5.4599,
+      "mean_token_accuracy": 0.1542729303240776,
+      "num_tokens": 4639023.0,
+      "step": 2545
+    },
+    {
+      "entropy": 5.711474943161011,
+      "epoch": 2.112676056338028,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004785697565979657,
+      "loss": 5.4732,
+      "mean_token_accuracy": 0.15900285094976424,
+      "num_tokens": 4647975.0,
+      "step": 2550
+    },
+    {
+      "entropy": 5.72883243560791,
+      "epoch": 2.116818558409279,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004784334416370857,
+      "loss": 5.498,
+      "mean_token_accuracy": 0.15594277828931807,
+      "num_tokens": 4657555.0,
+      "step": 2555
+    },
+    {
+      "entropy": 5.745093822479248,
+      "epoch": 2.1209610604805302,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004782967163287231,
+      "loss": 5.4193,
+      "mean_token_accuracy": 0.16100153774023057,
+      "num_tokens": 4667228.0,
+      "step": 2560
+    },
+    {
+      "entropy": 5.716836738586426,
+      "epoch": 2.1251035625517813,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047815958094866756,
+      "loss": 5.4957,
+      "mean_token_accuracy": 0.1513967014849186,
+      "num_tokens": 4676723.0,
+      "step": 2565
+    },
+    {
+      "entropy": 5.7276163578033445,
+      "epoch": 2.1292460646230325,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004780220357735363,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.15479894131422042,
+      "num_tokens": 4686241.0,
+      "step": 2570
+    },
+    {
+      "entropy": 5.764811038970947,
+      "epoch": 2.1333885666942836,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047788408108077294,
+      "loss": 5.5404,
+      "mean_token_accuracy": 0.1561874568462372,
+      "num_tokens": 4695195.0,
+      "step": 2575
+    },
+    {
+      "entropy": 5.739376497268677,
+      "epoch": 2.1375310687655342,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004777457171486471,
+      "loss": 5.5871,
+      "mean_token_accuracy": 0.15551834553480148,
+      "num_tokens": 4704716.0,
+      "step": 2580
+    },
+    {
+      "entropy": 5.769967555999756,
+      "epoch": 2.1416735708367853,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004776069442562541,
+      "loss": 5.5562,
+      "mean_token_accuracy": 0.15339450240135194,
+      "num_tokens": 4713720.0,
+      "step": 2585
+    },
+    {
+      "entropy": 5.733342504501342,
+      "epoch": 2.1458160729080364,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004774677626835138,
+      "loss": 5.5366,
+      "mean_token_accuracy": 0.15301723331212996,
+      "num_tokens": 4722428.0,
+      "step": 2590
+    },
+    {
+      "entropy": 5.787648677825928,
+      "epoch": 2.1499585749792876,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00047732817271117084,
+      "loss": 5.5365,
+      "mean_token_accuracy": 0.15334974452853203,
+      "num_tokens": 4732395.0,
+      "step": 2595
+    },
+    {
+      "entropy": 5.773520803451538,
+      "epoch": 2.1541010770505387,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004771881746207934,
+      "loss": 5.5206,
+      "mean_token_accuracy": 0.15674114525318145,
+      "num_tokens": 4741071.0,
+      "step": 2600
+    },
+    {
+      "entropy": 5.607013797760009,
+      "epoch": 2.1582435791217898,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047704776869477285,
+      "loss": 5.5153,
+      "mean_token_accuracy": 0.15076877027750016,
+      "num_tokens": 4749876.0,
+      "step": 2605
+    },
+    {
+      "entropy": 5.784313154220581,
+      "epoch": 2.1623860811930404,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00047690695521632344,
+      "loss": 5.4669,
+      "mean_token_accuracy": 0.16002854704856873,
+      "num_tokens": 4758721.0,
+      "step": 2610
+    },
+    {
+      "entropy": 5.6919313907623295,
+      "epoch": 2.1665285832642915,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047676573446948114,
+      "loss": 5.4832,
+      "mean_token_accuracy": 0.15925751626491547,
+      "num_tokens": 4767162.0,
+      "step": 2615
+    },
+    {
+      "entropy": 5.71550760269165,
+      "epoch": 2.1706710853355426,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047662410673910376,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.1629578560590744,
+      "num_tokens": 4776397.0,
+      "step": 2620
+    },
+    {
+      "entropy": 5.665811157226562,
+      "epoch": 2.1748135874067938,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047648207231087,
+      "loss": 5.4579,
+      "mean_token_accuracy": 0.15894875824451446,
+      "num_tokens": 4784822.0,
+      "step": 2625
+    },
+    {
+      "entropy": 5.71003270149231,
+      "epoch": 2.178956089478045,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004763396314712786,
+      "loss": 5.5297,
+      "mean_token_accuracy": 0.15831661075353623,
+      "num_tokens": 4794272.0,
+      "step": 2630
+    },
+    {
+      "entropy": 5.64026665687561,
+      "epoch": 2.183098591549296,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004761967845076484,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.15510014593601226,
+      "num_tokens": 4804314.0,
+      "step": 2635
+    },
+    {
+      "entropy": 5.6847330093383786,
+      "epoch": 2.1872410936205466,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004760535317081174,
+      "loss": 5.4694,
+      "mean_token_accuracy": 0.15845878273248673,
+      "num_tokens": 4812685.0,
+      "step": 2640
+    },
+    {
+      "entropy": 5.715235567092895,
+      "epoch": 2.1913835956917977,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047590987336164207,
+      "loss": 5.5532,
+      "mean_token_accuracy": 0.1562129870057106,
+      "num_tokens": 4821761.0,
+      "step": 2645
+    },
+    {
+      "entropy": 5.741413831710815,
+      "epoch": 2.195526097763049,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00047576580975799705,
+      "loss": 5.5307,
+      "mean_token_accuracy": 0.1623195379972458,
+      "num_tokens": 4830515.0,
+      "step": 2650
+    },
+    {
+      "entropy": 5.782008934020996,
+      "epoch": 2.1996685998343,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004756213411877743,
+      "loss": 5.5059,
+      "mean_token_accuracy": 0.14879967421293258,
+      "num_tokens": 4840741.0,
+      "step": 2655
+    },
+    {
+      "entropy": 5.612497425079345,
+      "epoch": 2.203811101905551,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047547646794238277,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.16198884546756745,
+      "num_tokens": 4849571.0,
+      "step": 2660
+    },
+    {
+      "entropy": 5.689143991470337,
+      "epoch": 2.207953603976802,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047533119031404757,
+      "loss": 5.4138,
+      "mean_token_accuracy": 0.1696420982480049,
+      "num_tokens": 4857194.0,
+      "step": 2665
+    },
+    {
+      "entropy": 5.632621717453003,
+      "epoch": 2.212096106048053,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00047518550859580966,
+      "loss": 5.5074,
+      "mean_token_accuracy": 0.1592964008450508,
+      "num_tokens": 4865894.0,
+      "step": 2670
+    },
+    {
+      "entropy": 5.74289755821228,
+      "epoch": 2.216238608119304,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004750394230815249,
+      "loss": 5.5268,
+      "mean_token_accuracy": 0.15829544067382811,
+      "num_tokens": 4875131.0,
+      "step": 2675
+    },
+    {
+      "entropy": 5.670539522171021,
+      "epoch": 2.220381110190555,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047489293406586375,
+      "loss": 5.3777,
+      "mean_token_accuracy": 0.1620385766029358,
+      "num_tokens": 4884098.0,
+      "step": 2680
+    },
+    {
+      "entropy": 5.657269620895386,
+      "epoch": 2.224523612261806,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004747460418443106,
+      "loss": 5.4373,
+      "mean_token_accuracy": 0.15941016003489494,
+      "num_tokens": 4892963.0,
+      "step": 2685
+    },
+    {
+      "entropy": 5.690485191345215,
+      "epoch": 2.2286661143330573,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047459874671316305,
+      "loss": 5.4903,
+      "mean_token_accuracy": 0.15749651044607163,
+      "num_tokens": 4902097.0,
+      "step": 2690
+    },
+    {
+      "entropy": 5.608357000350952,
+      "epoch": 2.2328086164043084,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00047445104896953153,
+      "loss": 5.4015,
+      "mean_token_accuracy": 0.16532779037952422,
+      "num_tokens": 4910469.0,
+      "step": 2695
+    },
+    {
+      "entropy": 5.82715744972229,
+      "epoch": 2.236951118475559,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047430294891133846,
+      "loss": 5.6892,
+      "mean_token_accuracy": 0.1501491665840149,
+      "num_tokens": 4921024.0,
+      "step": 2700
+    },
+    {
+      "entropy": 5.749764776229858,
+      "epoch": 2.24109362054681,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004741544468373179,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15474629402160645,
+      "num_tokens": 4930297.0,
+      "step": 2705
+    },
+    {
+      "entropy": 5.687776947021485,
+      "epoch": 2.2452361226180613,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00047400554304701474,
+      "loss": 5.4692,
+      "mean_token_accuracy": 0.16049361675977708,
+      "num_tokens": 4938971.0,
+      "step": 2710
+    },
+    {
+      "entropy": 5.571053695678711,
+      "epoch": 2.2493786246893124,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047385623784078427,
+      "loss": 5.4899,
+      "mean_token_accuracy": 0.15803302526474,
+      "num_tokens": 4948531.0,
+      "step": 2715
+    },
+    {
+      "entropy": 5.787879133224488,
+      "epoch": 2.2535211267605635,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004737065315197913,
+      "loss": 5.5664,
+      "mean_token_accuracy": 0.1587745025753975,
+      "num_tokens": 4957430.0,
+      "step": 2720
+    },
+    {
+      "entropy": 5.720958280563354,
+      "epoch": 2.2576636288318146,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047355642438600987,
+      "loss": 5.5478,
+      "mean_token_accuracy": 0.16044806241989135,
+      "num_tokens": 4966681.0,
+      "step": 2725
+    },
+    {
+      "entropy": 5.638753175735474,
+      "epoch": 2.2618061309030653,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004734059167422225,
+      "loss": 5.4123,
+      "mean_token_accuracy": 0.1639780133962631,
+      "num_tokens": 4975327.0,
+      "step": 2730
+    },
+    {
+      "entropy": 5.634887552261352,
+      "epoch": 2.2659486329743164,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047325500889201956,
+      "loss": 5.4725,
+      "mean_token_accuracy": 0.16207436099648476,
+      "num_tokens": 4983741.0,
+      "step": 2735
+    },
+    {
+      "entropy": 5.673438644409179,
+      "epoch": 2.2700911350455675,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004731037011397986,
+      "loss": 5.5662,
+      "mean_token_accuracy": 0.15884149968624114,
+      "num_tokens": 4993171.0,
+      "step": 2740
+    },
+    {
+      "entropy": 5.752307653427124,
+      "epoch": 2.2742336371168186,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047295199379076403,
+      "loss": 5.6,
+      "mean_token_accuracy": 0.15322241187095642,
+      "num_tokens": 5002810.0,
+      "step": 2745
+    },
+    {
+      "entropy": 5.7073346138000485,
+      "epoch": 2.2783761391880697,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000472799887150926,
+      "loss": 5.4893,
+      "mean_token_accuracy": 0.15741414427757264,
+      "num_tokens": 5011875.0,
+      "step": 2750
+    },
+    {
+      "entropy": 5.679959297180176,
+      "epoch": 2.282518641259321,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004726473815271003,
+      "loss": 5.5349,
+      "mean_token_accuracy": 0.15855301022529603,
+      "num_tokens": 5020780.0,
+      "step": 2755
+    },
+    {
+      "entropy": 5.669374132156372,
+      "epoch": 2.286661143330572,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047249447722690747,
+      "loss": 5.4331,
+      "mean_token_accuracy": 0.16046710908412934,
+      "num_tokens": 5029896.0,
+      "step": 2760
+    },
+    {
+      "entropy": 5.652454280853272,
+      "epoch": 2.2908036454018226,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047234117455877215,
+      "loss": 5.4932,
+      "mean_token_accuracy": 0.1545606277883053,
+      "num_tokens": 5038956.0,
+      "step": 2765
+    },
+    {
+      "entropy": 5.639697694778443,
+      "epoch": 2.2949461474730737,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004721874738319225,
+      "loss": 5.4594,
+      "mean_token_accuracy": 0.17258906960487366,
+      "num_tokens": 5047005.0,
+      "step": 2770
+    },
+    {
+      "entropy": 5.655842065811157,
+      "epoch": 2.299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004720333753563898,
+      "loss": 5.5008,
+      "mean_token_accuracy": 0.15116662830114364,
+      "num_tokens": 5056475.0,
+      "step": 2775
+    },
+    {
+      "entropy": 5.704644584655762,
+      "epoch": 2.303231151615576,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00047187887944300747,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16439782381057738,
+      "num_tokens": 5064978.0,
+      "step": 2780
+    },
+    {
+      "entropy": 5.726413679122925,
+      "epoch": 2.307373653686827,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004717239864034107,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.15506226867437362,
+      "num_tokens": 5074235.0,
+      "step": 2785
+    },
+    {
+      "entropy": 5.662968683242798,
+      "epoch": 2.3115161557580777,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047156869655003554,
+      "loss": 5.4481,
+      "mean_token_accuracy": 0.16141191571950914,
+      "num_tokens": 5082386.0,
+      "step": 2790
+    },
+    {
+      "entropy": 5.631324100494385,
+      "epoch": 2.315658657829329,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047141301019611875,
+      "loss": 5.4164,
+      "mean_token_accuracy": 0.16636510640382768,
+      "num_tokens": 5090634.0,
+      "step": 2795
+    },
+    {
+      "entropy": 5.818879795074463,
+      "epoch": 2.31980115990058,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004712569276556967,
+      "loss": 5.5906,
+      "mean_token_accuracy": 0.14937217235565187,
+      "num_tokens": 5099003.0,
+      "step": 2800
+    },
+    {
+      "entropy": 5.617757177352905,
+      "epoch": 2.323943661971831,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00047110044924360484,
+      "loss": 5.6681,
+      "mean_token_accuracy": 0.1565680392086506,
+      "num_tokens": 5108631.0,
+      "step": 2805
+    },
+    {
+      "entropy": 5.732515859603882,
+      "epoch": 2.328086164043082,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00047094357527547725,
+      "loss": 5.4545,
+      "mean_token_accuracy": 0.15828853249549865,
+      "num_tokens": 5117309.0,
+      "step": 2810
+    },
+    {
+      "entropy": 5.686485624313354,
+      "epoch": 2.332228666114333,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004707863060677459,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.1627561032772064,
+      "num_tokens": 5126305.0,
+      "step": 2815
+    },
+    {
+      "entropy": 5.821760654449463,
+      "epoch": 2.3363711681855843,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00047062864193764,
+      "loss": 5.6022,
+      "mean_token_accuracy": 0.15580221712589265,
+      "num_tokens": 5135338.0,
+      "step": 2820
+    },
+    {
+      "entropy": 5.676449155807495,
+      "epoch": 2.340513670256835,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047047058320318525,
+      "loss": 5.5298,
+      "mean_token_accuracy": 0.16162888556718827,
+      "num_tokens": 5144518.0,
+      "step": 2825
+    },
+    {
+      "entropy": 5.702890157699585,
+      "epoch": 2.344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004703121301832034,
+      "loss": 5.6262,
+      "mean_token_accuracy": 0.15101130157709122,
+      "num_tokens": 5154102.0,
+      "step": 2830
+    },
+    {
+      "entropy": 5.7891247272491455,
+      "epoch": 2.348798674399337,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047015328319731153,
+      "loss": 5.5642,
+      "mean_token_accuracy": 0.15612353384494781,
+      "num_tokens": 5163719.0,
+      "step": 2835
+    },
+    {
+      "entropy": 5.677855682373047,
+      "epoch": 2.3529411764705883,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004699940425659215,
+      "loss": 5.5247,
+      "mean_token_accuracy": 0.15519936084747316,
+      "num_tokens": 5173192.0,
+      "step": 2840
+    },
+    {
+      "entropy": 5.622324132919312,
+      "epoch": 2.3570836785418394,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00046983440861023877,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.1663823500275612,
+      "num_tokens": 5182438.0,
+      "step": 2845
+    },
+    {
+      "entropy": 5.699106454849243,
+      "epoch": 2.36122618061309,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046967438165226275,
+      "loss": 5.6015,
+      "mean_token_accuracy": 0.15352728664875032,
+      "num_tokens": 5191595.0,
+      "step": 2850
+    },
+    {
+      "entropy": 5.659265756607056,
+      "epoch": 2.365368682684341,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004695139620147851,
+      "loss": 5.4682,
+      "mean_token_accuracy": 0.1643056571483612,
+      "num_tokens": 5200174.0,
+      "step": 2855
+    },
+    {
+      "entropy": 5.713242053985596,
+      "epoch": 2.3695111847555923,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046935315002138994,
+      "loss": 5.5804,
+      "mean_token_accuracy": 0.15417435318231582,
+      "num_tokens": 5210454.0,
+      "step": 2860
+    },
+    {
+      "entropy": 5.727554702758789,
+      "epoch": 2.3736536868268434,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004691919459964525,
+      "loss": 5.5019,
+      "mean_token_accuracy": 0.16056040227413176,
+      "num_tokens": 5219243.0,
+      "step": 2865
+    },
+    {
+      "entropy": 5.5862212657928465,
+      "epoch": 2.3777961888980945,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046903035026513894,
+      "loss": 5.4319,
+      "mean_token_accuracy": 0.1613735228776932,
+      "num_tokens": 5228656.0,
+      "step": 2870
+    },
+    {
+      "entropy": 5.587289905548095,
+      "epoch": 2.3819386909693456,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004688683631534056,
+      "loss": 5.4859,
+      "mean_token_accuracy": 0.156366066634655,
+      "num_tokens": 5237807.0,
+      "step": 2875
+    },
+    {
+      "entropy": 5.775411653518677,
+      "epoch": 2.3860811930405967,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004687059849879981,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.1609719067811966,
+      "num_tokens": 5247432.0,
+      "step": 2880
+    },
+    {
+      "entropy": 5.597807741165161,
+      "epoch": 2.3902236951118474,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00046854321609645093,
+      "loss": 5.4145,
+      "mean_token_accuracy": 0.16111126840114592,
+      "num_tokens": 5256680.0,
+      "step": 2885
+    },
+    {
+      "entropy": 5.6380726337432865,
+      "epoch": 2.3943661971830985,
+      "grad_norm": 2.15625,
+      "learning_rate": 0.00046838005680708677,
+      "loss": 5.5296,
+      "mean_token_accuracy": 0.14821895360946655,
+      "num_tokens": 5266793.0,
+      "step": 2890
+    },
+    {
+      "entropy": 5.710390281677246,
+      "epoch": 2.3985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046821650744901573,
+      "loss": 5.4452,
+      "mean_token_accuracy": 0.15857197493314742,
+      "num_tokens": 5275028.0,
+      "step": 2895
+    },
+    {
+      "entropy": 5.598506593704224,
+      "epoch": 2.4026512013256007,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004680525683521347,
+      "loss": 5.5226,
+      "mean_token_accuracy": 0.1566852644085884,
+      "num_tokens": 5284162.0,
+      "step": 2900
+    },
+    {
+      "entropy": 5.757242631912232,
+      "epoch": 2.406793703396852,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004678882398471269,
+      "loss": 5.5911,
+      "mean_token_accuracy": 0.15474308133125306,
+      "num_tokens": 5293263.0,
+      "step": 2905
+    },
+    {
+      "entropy": 5.654598569869995,
+      "epoch": 2.4109362054681025,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046772352226546066,
+      "loss": 5.477,
+      "mean_token_accuracy": 0.1666618600487709,
+      "num_tokens": 5301373.0,
+      "step": 2910
+    },
+    {
+      "entropy": 5.643638467788696,
+      "epoch": 2.4150787075393536,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004675584159393895,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.15203802064061164,
+      "num_tokens": 5311009.0,
+      "step": 2915
+    },
+    {
+      "entropy": 5.699149656295776,
+      "epoch": 2.4192212096106047,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046739292120195083,
+      "loss": 5.5245,
+      "mean_token_accuracy": 0.16085631400346756,
+      "num_tokens": 5320341.0,
+      "step": 2920
+    },
+    {
+      "entropy": 5.642888498306275,
+      "epoch": 2.423363711681856,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004672270383869657,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1610630214214325,
+      "num_tokens": 5329250.0,
+      "step": 2925
+    },
+    {
+      "entropy": 5.62935357093811,
+      "epoch": 2.427506213753107,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004670607678290379,
+      "loss": 5.4471,
+      "mean_token_accuracy": 0.16571807861328125,
+      "num_tokens": 5336515.0,
+      "step": 2930
+    },
+    {
+      "entropy": 5.655415058135986,
+      "epoch": 2.431648715824358,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004668941098635532,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.1595415398478508,
+      "num_tokens": 5346043.0,
+      "step": 2935
+    },
+    {
+      "entropy": 5.642036104202271,
+      "epoch": 2.435791217895609,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00046672706482667897,
+      "loss": 5.4925,
+      "mean_token_accuracy": 0.15832271426916122,
+      "num_tokens": 5355124.0,
+      "step": 2940
+    },
+    {
+      "entropy": 5.647988367080688,
+      "epoch": 2.43993371996686,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004665596330553633,
+      "loss": 5.5051,
+      "mean_token_accuracy": 0.1597411409020424,
+      "num_tokens": 5364556.0,
+      "step": 2945
+    },
+    {
+      "entropy": 5.67459397315979,
+      "epoch": 2.444076222038111,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046639181488733445,
+      "loss": 5.5316,
+      "mean_token_accuracy": 0.15941161364316941,
+      "num_tokens": 5373778.0,
+      "step": 2950
+    },
+    {
+      "entropy": 5.725692987442017,
+      "epoch": 2.448218724109362,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004662236106610999,
+      "loss": 5.5123,
+      "mean_token_accuracy": 0.15816445648670197,
+      "num_tokens": 5382633.0,
+      "step": 2955
+    },
+    {
+      "entropy": 5.5606146335601805,
+      "epoch": 2.452361226180613,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00046605502071594604,
+      "loss": 5.4163,
+      "mean_token_accuracy": 0.16387673169374467,
+      "num_tokens": 5391442.0,
+      "step": 2960
+    },
+    {
+      "entropy": 5.569208765029908,
+      "epoch": 2.4565037282518642,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004658860453919371,
+      "loss": 5.4388,
+      "mean_token_accuracy": 0.1621423229575157,
+      "num_tokens": 5400504.0,
+      "step": 2965
+    },
+    {
+      "entropy": 5.587312078475952,
+      "epoch": 2.460646230323115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004657166850299149,
+      "loss": 5.4448,
+      "mean_token_accuracy": 0.16361159086227417,
+      "num_tokens": 5408939.0,
+      "step": 2970
+    },
+    {
+      "entropy": 5.629118537902832,
+      "epoch": 2.464788732394366,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004655469399714978,
+      "loss": 5.4722,
+      "mean_token_accuracy": 0.1575179159641266,
+      "num_tokens": 5418934.0,
+      "step": 2975
+    },
+    {
+      "entropy": 5.572103595733642,
+      "epoch": 2.468931234465617,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004653768105590799,
+      "loss": 5.4955,
+      "mean_token_accuracy": 0.16008511185646057,
+      "num_tokens": 5427894.0,
+      "step": 2980
+    },
+    {
+      "entropy": 5.683330011367798,
+      "epoch": 2.4730737365368682,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046520629713583115,
+      "loss": 5.5003,
+      "mean_token_accuracy": 0.1613202139735222,
+      "num_tokens": 5436830.0,
+      "step": 2985
+    },
+    {
+      "entropy": 5.597742080688477,
+      "epoch": 2.4772162386081193,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046503540004569555,
+      "loss": 5.4814,
+      "mean_token_accuracy": 0.16423845291137695,
+      "num_tokens": 5445504.0,
+      "step": 2990
+    },
+    {
+      "entropy": 5.679887342453003,
+      "epoch": 2.4813587406793705,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046486411963339125,
+      "loss": 5.5405,
+      "mean_token_accuracy": 0.15501321628689765,
+      "num_tokens": 5455378.0,
+      "step": 2995
+    },
+    {
+      "entropy": 5.712473011016845,
+      "epoch": 2.4855012427506216,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046469245624440955,
+      "loss": 5.6107,
+      "mean_token_accuracy": 0.1589423656463623,
+      "num_tokens": 5465334.0,
+      "step": 3000
+    },
+    {
+      "epoch": 2.4855012427506216,
+      "eval_entropy": 5.590163738234465,
+      "eval_loss": 5.965892314910889,
+      "eval_mean_token_accuracy": 0.14734836894947329,
+      "eval_num_tokens": 5465334.0,
+      "eval_runtime": 2.7526,
+      "eval_samples_per_second": 1361.234,
+      "eval_steps_per_second": 170.381,
+      "step": 3000
+    },
+    {
+      "entropy": 5.751126146316528,
+      "epoch": 2.4896437448218722,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046452041022501423,
+      "loss": 5.5858,
+      "mean_token_accuracy": 0.15555662512779236,
+      "num_tokens": 5475701.0,
+      "step": 3005
+    },
+    {
+      "entropy": 5.699931526184082,
+      "epoch": 2.4937862468931233,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004643479819222411,
+      "loss": 5.4828,
+      "mean_token_accuracy": 0.16229774355888366,
+      "num_tokens": 5485244.0,
+      "step": 3010
+    },
+    {
+      "entropy": 5.596950387954712,
+      "epoch": 2.4979287489643744,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046417517168389664,
+      "loss": 5.4434,
+      "mean_token_accuracy": 0.1682340309023857,
+      "num_tokens": 5493587.0,
+      "step": 3015
+    },
+    {
+      "entropy": 5.6203169345855715,
+      "epoch": 2.5020712510356256,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004640019798585581,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.15738681554794312,
+      "num_tokens": 5503117.0,
+      "step": 3020
+    },
+    {
+      "entropy": 5.762682390213013,
+      "epoch": 2.5062137531068767,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046382840679557233,
+      "loss": 5.5352,
+      "mean_token_accuracy": 0.16024575680494307,
+      "num_tokens": 5512742.0,
+      "step": 3025
+    },
+    {
+      "entropy": 5.647499704360962,
+      "epoch": 2.5103562551781273,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00046365445284505516,
+      "loss": 5.4968,
+      "mean_token_accuracy": 0.16166605204343795,
+      "num_tokens": 5521862.0,
+      "step": 3030
+    },
+    {
+      "entropy": 5.597900772094727,
+      "epoch": 2.5144987572493784,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.0004634801183578907,
+      "loss": 5.488,
+      "mean_token_accuracy": 0.1608501434326172,
+      "num_tokens": 5531244.0,
+      "step": 3035
+    },
+    {
+      "entropy": 5.655751419067383,
+      "epoch": 2.5186412593206295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046330540368573063,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15176820158958435,
+      "num_tokens": 5540786.0,
+      "step": 3040
+    },
+    {
+      "entropy": 5.7291028022766115,
+      "epoch": 2.5227837613918807,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046313030918099365,
+      "loss": 5.5224,
+      "mean_token_accuracy": 0.1602902241051197,
+      "num_tokens": 5549961.0,
+      "step": 3045
+    },
+    {
+      "entropy": 5.620108366012573,
+      "epoch": 2.5269262634631318,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00046295483519686437,
+      "loss": 5.4591,
+      "mean_token_accuracy": 0.16417455673217773,
+      "num_tokens": 5558941.0,
+      "step": 3050
+    },
+    {
+      "entropy": 5.644694232940674,
+      "epoch": 2.531068765534383,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046277898208729306,
+      "loss": 5.4673,
+      "mean_token_accuracy": 0.16716189235448836,
+      "num_tokens": 5567630.0,
+      "step": 3055
+    },
+    {
+      "entropy": 5.586954879760742,
+      "epoch": 2.535211267605634,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004626027502069947,
+      "loss": 5.4301,
+      "mean_token_accuracy": 0.16521373838186265,
+      "num_tokens": 5576430.0,
+      "step": 3060
+    },
+    {
+      "entropy": 5.650178289413452,
+      "epoch": 2.539353769676885,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046242613991144814,
+      "loss": 5.5444,
+      "mean_token_accuracy": 0.1609214127063751,
+      "num_tokens": 5584785.0,
+      "step": 3065
+    },
+    {
+      "entropy": 5.585511493682861,
+      "epoch": 2.5434962717481358,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046224915155689586,
+      "loss": 5.478,
+      "mean_token_accuracy": 0.16044741719961167,
+      "num_tokens": 5594583.0,
+      "step": 3070
+    },
+    {
+      "entropy": 5.638197040557861,
+      "epoch": 2.547638773819387,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046207178550034244,
+      "loss": 5.4306,
+      "mean_token_accuracy": 0.1608849883079529,
+      "num_tokens": 5603498.0,
+      "step": 3075
+    },
+    {
+      "entropy": 5.7161966323852536,
+      "epoch": 2.551781275890638,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004618940420995547,
+      "loss": 5.5685,
+      "mean_token_accuracy": 0.15440558269619942,
+      "num_tokens": 5613101.0,
+      "step": 3080
+    },
+    {
+      "entropy": 5.665849494934082,
+      "epoch": 2.555923777961889,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004617159217130606,
+      "loss": 5.5409,
+      "mean_token_accuracy": 0.1569191187620163,
+      "num_tokens": 5621821.0,
+      "step": 3085
+    },
+    {
+      "entropy": 5.711861181259155,
+      "epoch": 2.5600662800331397,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004615374247001483,
+      "loss": 5.5738,
+      "mean_token_accuracy": 0.15701586306095122,
+      "num_tokens": 5631006.0,
+      "step": 3090
+    },
+    {
+      "entropy": 5.674423551559448,
+      "epoch": 2.564208782104391,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004613585514208659,
+      "loss": 5.5295,
+      "mean_token_accuracy": 0.15232180580496787,
+      "num_tokens": 5640159.0,
+      "step": 3095
+    },
+    {
+      "entropy": 5.592060613632202,
+      "epoch": 2.568351284175642,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046117930223602016,
+      "loss": 5.4003,
+      "mean_token_accuracy": 0.1694741129875183,
+      "num_tokens": 5648369.0,
+      "step": 3100
+    },
+    {
+      "entropy": 5.5982965469360355,
+      "epoch": 2.572493786246893,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004609996775071765,
+      "loss": 5.459,
+      "mean_token_accuracy": 0.1591326355934143,
+      "num_tokens": 5657669.0,
+      "step": 3105
+    },
+    {
+      "entropy": 5.56780686378479,
+      "epoch": 2.576636288318144,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004608196775966575,
+      "loss": 5.5319,
+      "mean_token_accuracy": 0.1610974356532097,
+      "num_tokens": 5666601.0,
+      "step": 3110
+    },
+    {
+      "entropy": 5.639773225784301,
+      "epoch": 2.5807787903893953,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046063930286754267,
+      "loss": 5.4465,
+      "mean_token_accuracy": 0.16618527621030807,
+      "num_tokens": 5675243.0,
+      "step": 3115
+    },
+    {
+      "entropy": 5.56855001449585,
+      "epoch": 2.5849212924606464,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00046045855368366756,
+      "loss": 5.466,
+      "mean_token_accuracy": 0.1630399063229561,
+      "num_tokens": 5683646.0,
+      "step": 3120
+    },
+    {
+      "entropy": 5.682586193084717,
+      "epoch": 2.5890637945318975,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.000460277430409623,
+      "loss": 5.5129,
+      "mean_token_accuracy": 0.17162407487630843,
+      "num_tokens": 5693069.0,
+      "step": 3125
+    },
+    {
+      "entropy": 5.587219524383545,
+      "epoch": 2.593206296603148,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046009593341075444,
+      "loss": 5.3754,
+      "mean_token_accuracy": 0.16499391198158264,
+      "num_tokens": 5701527.0,
+      "step": 3130
+    },
+    {
+      "entropy": 5.561956834793091,
+      "epoch": 2.5973487986743993,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004599140630531612,
+      "loss": 5.5403,
+      "mean_token_accuracy": 0.15682477951049806,
+      "num_tokens": 5710379.0,
+      "step": 3135
+    },
+    {
+      "entropy": 5.69692587852478,
+      "epoch": 2.6014913007456504,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004597318197036956,
+      "loss": 5.4524,
+      "mean_token_accuracy": 0.1643553927540779,
+      "num_tokens": 5719217.0,
+      "step": 3140
+    },
+    {
+      "entropy": 5.629226970672607,
+      "epoch": 2.6056338028169015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004595492037299624,
+      "loss": 5.5535,
+      "mean_token_accuracy": 0.16214104294776915,
+      "num_tokens": 5728331.0,
+      "step": 3145
+    },
+    {
+      "entropy": 5.608061027526856,
+      "epoch": 2.6097763048881526,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045936621550031806,
+      "loss": 5.5107,
+      "mean_token_accuracy": 0.16073764860630035,
+      "num_tokens": 5737696.0,
+      "step": 3150
+    },
+    {
+      "entropy": 5.731885099411011,
+      "epoch": 2.6139188069594033,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045918285538386973,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.16164542436599733,
+      "num_tokens": 5746191.0,
+      "step": 3155
+    },
+    {
+      "entropy": 5.703127813339234,
+      "epoch": 2.6180613090306544,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00045899912375047485,
+      "loss": 5.5619,
+      "mean_token_accuracy": 0.1629435494542122,
+      "num_tokens": 5754824.0,
+      "step": 3160
+    },
+    {
+      "entropy": 5.638229656219482,
+      "epoch": 2.6222038111019055,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045881502097074023,
+      "loss": 5.537,
+      "mean_token_accuracy": 0.1518124133348465,
+      "num_tokens": 5764863.0,
+      "step": 3165
+    },
+    {
+      "entropy": 5.614318180084228,
+      "epoch": 2.6263463131731566,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004586305474160212,
+      "loss": 5.5459,
+      "mean_token_accuracy": 0.15642993301153182,
+      "num_tokens": 5774273.0,
+      "step": 3170
+    },
+    {
+      "entropy": 5.666326427459717,
+      "epoch": 2.6304888152444077,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045844570345842116,
+      "loss": 5.5044,
+      "mean_token_accuracy": 0.16042826995253562,
+      "num_tokens": 5784085.0,
+      "step": 3175
+    },
+    {
+      "entropy": 5.659371709823608,
+      "epoch": 2.634631317315659,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004582604894707906,
+      "loss": 5.5336,
+      "mean_token_accuracy": 0.16884370446205138,
+      "num_tokens": 5793921.0,
+      "step": 3180
+    },
+    {
+      "entropy": 5.664378356933594,
+      "epoch": 2.63877381938691,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00045807490582672634,
+      "loss": 5.4972,
+      "mean_token_accuracy": 0.15294444859027861,
+      "num_tokens": 5803902.0,
+      "step": 3185
+    },
+    {
+      "entropy": 5.542481708526611,
+      "epoch": 2.6429163214581606,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00045788895290057083,
+      "loss": 5.4129,
+      "mean_token_accuracy": 0.16788192689418793,
+      "num_tokens": 5812089.0,
+      "step": 3190
+    },
+    {
+      "entropy": 5.6802209377288815,
+      "epoch": 2.6470588235294117,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00045770263106741137,
+      "loss": 5.5784,
+      "mean_token_accuracy": 0.1578851893544197,
+      "num_tokens": 5821072.0,
+      "step": 3195
+    },
+    {
+      "entropy": 5.628516340255738,
+      "epoch": 2.651201325600663,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004575159407030797,
+      "loss": 5.4029,
+      "mean_token_accuracy": 0.16388181746006011,
+      "num_tokens": 5829725.0,
+      "step": 3200
+    },
+    {
+      "entropy": 5.500157403945923,
+      "epoch": 2.655343827671914,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004573288821841505,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16496249735355378,
+      "num_tokens": 5838153.0,
+      "step": 3205
+    },
+    {
+      "entropy": 5.616616106033325,
+      "epoch": 2.659486329743165,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004571414558879413,
+      "loss": 5.4409,
+      "mean_token_accuracy": 0.15448423773050307,
+      "num_tokens": 5847270.0,
+      "step": 3210
+    },
+    {
+      "entropy": 5.6490891456604,
+      "epoch": 2.6636288318144157,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004569536621925114,
+      "loss": 5.5472,
+      "mean_token_accuracy": 0.15474478006362916,
+      "num_tokens": 5855954.0,
+      "step": 3215
+    },
+    {
+      "entropy": 5.634416961669922,
+      "epoch": 2.667771333885667,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004567655014766612,
+      "loss": 5.4529,
+      "mean_token_accuracy": 0.16163208782672883,
+      "num_tokens": 5864435.0,
+      "step": 3220
+    },
+    {
+      "entropy": 5.624909925460815,
+      "epoch": 2.671913835956918,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004565769741199314,
+      "loss": 5.5135,
+      "mean_token_accuracy": 0.1572384186089039,
+      "num_tokens": 5873964.0,
+      "step": 3225
+    },
+    {
+      "entropy": 5.727962255477905,
+      "epoch": 2.676056338028169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045638808050260237,
+      "loss": 5.4648,
+      "mean_token_accuracy": 0.16628578454256057,
+      "num_tokens": 5882738.0,
+      "step": 3230
+    },
+    {
+      "entropy": 5.587652635574341,
+      "epoch": 2.68019884009942,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00045619882100569317,
+      "loss": 5.5925,
+      "mean_token_accuracy": 0.15854242593050002,
+      "num_tokens": 5891749.0,
+      "step": 3235
+    },
+    {
+      "entropy": 5.627515649795532,
+      "epoch": 2.684341342170671,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004560091960109608,
+      "loss": 5.5372,
+      "mean_token_accuracy": 0.15811603218317033,
+      "num_tokens": 5900551.0,
+      "step": 3240
+    },
+    {
+      "entropy": 5.661735343933105,
+      "epoch": 2.6884838442419223,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004558192059008996,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.1517203629016876,
+      "num_tokens": 5909254.0,
+      "step": 3245
+    },
+    {
+      "entropy": 5.599635648727417,
+      "epoch": 2.692626346313173,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004556288510587406,
+      "loss": 5.4987,
+      "mean_token_accuracy": 0.15817683488130568,
+      "num_tokens": 5918357.0,
+      "step": 3250
+    },
+    {
+      "entropy": 5.662895679473877,
+      "epoch": 2.696768848384424,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00045543813186845004,
+      "loss": 5.5021,
+      "mean_token_accuracy": 0.15579704195261002,
+      "num_tokens": 5927742.0,
+      "step": 3255
+    },
+    {
+      "entropy": 5.627440690994263,
+      "epoch": 2.700911350455675,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004552470487147294,
+      "loss": 5.5823,
+      "mean_token_accuracy": 0.1556493915617466,
+      "num_tokens": 5937025.0,
+      "step": 3260
+    },
+    {
+      "entropy": 5.70678014755249,
+      "epoch": 2.7050538525269263,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045505560198301443,
+      "loss": 5.5615,
+      "mean_token_accuracy": 0.15135139375925064,
+      "num_tokens": 5946176.0,
+      "step": 3265
+    },
+    {
+      "entropy": 5.659924745559692,
+      "epoch": 2.7091963545981774,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045486379205947396,
+      "loss": 5.5233,
+      "mean_token_accuracy": 0.1584411159157753,
+      "num_tokens": 5955550.0,
+      "step": 3270
+    },
+    {
+      "entropy": 5.594695281982422,
+      "epoch": 2.713338856669428,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004546716193310098,
+      "loss": 5.4541,
+      "mean_token_accuracy": 0.1651945412158966,
+      "num_tokens": 5964467.0,
+      "step": 3275
+    },
+    {
+      "entropy": 5.605531787872314,
+      "epoch": 2.717481358740679,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000454479084185255,
+      "loss": 5.4855,
+      "mean_token_accuracy": 0.1514287754893303,
+      "num_tokens": 5973906.0,
+      "step": 3280
+    },
+    {
+      "entropy": 5.696796035766601,
+      "epoch": 2.7216238608119303,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004542861870105743,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.15694239139556884,
+      "num_tokens": 5983701.0,
+      "step": 3285
+    },
+    {
+      "entropy": 5.623150444030761,
+      "epoch": 2.7257663628831814,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045409292819606224,
+      "loss": 5.4971,
+      "mean_token_accuracy": 0.16068210303783417,
+      "num_tokens": 5993367.0,
+      "step": 3290
+    },
+    {
+      "entropy": 5.646857404708863,
+      "epoch": 2.7299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045389930813154297,
+      "loss": 5.4519,
+      "mean_token_accuracy": 0.16334805637598038,
+      "num_tokens": 6003752.0,
+      "step": 3295
+    },
+    {
+      "entropy": 5.675233459472656,
+      "epoch": 2.7340513670256836,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004537053272075693,
+      "loss": 5.5263,
+      "mean_token_accuracy": 0.1621565416455269,
+      "num_tokens": 6012486.0,
+      "step": 3300
+    },
+    {
+      "entropy": 5.5136041164398195,
+      "epoch": 2.7381938690969347,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045351098581542204,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.163838130235672,
+      "num_tokens": 6020742.0,
+      "step": 3305
+    },
+    {
+      "entropy": 5.646917295455933,
+      "epoch": 2.742336371168186,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004533162843471089,
+      "loss": 5.5009,
+      "mean_token_accuracy": 0.15474170595407485,
+      "num_tokens": 6030248.0,
+      "step": 3310
+    },
+    {
+      "entropy": 5.632185411453247,
+      "epoch": 2.7464788732394365,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004531212231953641,
+      "loss": 5.5436,
+      "mean_token_accuracy": 0.15157791674137117,
+      "num_tokens": 6039293.0,
+      "step": 3315
+    },
+    {
+      "entropy": 5.587828540802002,
+      "epoch": 2.7506213753106876,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004529258027536473,
+      "loss": 5.4134,
+      "mean_token_accuracy": 0.16378402560949326,
+      "num_tokens": 6048081.0,
+      "step": 3320
+    },
+    {
+      "entropy": 5.673684549331665,
+      "epoch": 2.7547638773819387,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004527300234161428,
+      "loss": 5.5753,
+      "mean_token_accuracy": 0.15969255268573762,
+      "num_tokens": 6057549.0,
+      "step": 3325
+    },
+    {
+      "entropy": 5.646554040908813,
+      "epoch": 2.75890637945319,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004525338855777591,
+      "loss": 5.5589,
+      "mean_token_accuracy": 0.15469738617539405,
+      "num_tokens": 6067372.0,
+      "step": 3330
+    },
+    {
+      "entropy": 5.595069122314453,
+      "epoch": 2.7630488815244405,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045233738963412746,
+      "loss": 5.4181,
+      "mean_token_accuracy": 0.1717814713716507,
+      "num_tokens": 6075532.0,
+      "step": 3335
+    },
+    {
+      "entropy": 5.5924467086792,
+      "epoch": 2.7671913835956916,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045214053598160173,
+      "loss": 5.4439,
+      "mean_token_accuracy": 0.16404369622468948,
+      "num_tokens": 6084389.0,
+      "step": 3340
+    },
+    {
+      "entropy": 5.598109579086303,
+      "epoch": 2.7713338856669427,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045194332501725725,
+      "loss": 5.4706,
+      "mean_token_accuracy": 0.16428767740726472,
+      "num_tokens": 6093536.0,
+      "step": 3345
+    },
+    {
+      "entropy": 5.637304496765137,
+      "epoch": 2.775476387738194,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00045174575713889014,
+      "loss": 5.5167,
+      "mean_token_accuracy": 0.16573925465345382,
+      "num_tokens": 6102677.0,
+      "step": 3350
+    },
+    {
+      "entropy": 5.677533674240112,
+      "epoch": 2.779618889809445,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004515478327450164,
+      "loss": 5.5926,
+      "mean_token_accuracy": 0.156404609978199,
+      "num_tokens": 6112430.0,
+      "step": 3355
+    },
+    {
+      "entropy": 5.643227863311767,
+      "epoch": 2.783761391880696,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00045134955223487093,
+      "loss": 5.4889,
+      "mean_token_accuracy": 0.16630716919898986,
+      "num_tokens": 6121408.0,
+      "step": 3360
+    },
+    {
+      "entropy": 5.57972674369812,
+      "epoch": 2.787903893951947,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00045115091600840757,
+      "loss": 5.5188,
+      "mean_token_accuracy": 0.15800442099571227,
+      "num_tokens": 6131339.0,
+      "step": 3365
+    },
+    {
+      "entropy": 5.624274778366089,
+      "epoch": 2.7920463960231983,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00045095192446629697,
+      "loss": 5.4816,
+      "mean_token_accuracy": 0.16174803227186202,
+      "num_tokens": 6140590.0,
+      "step": 3370
+    },
+    {
+      "entropy": 5.704814815521241,
+      "epoch": 2.796188898094449,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000450752578009927,
+      "loss": 5.5621,
+      "mean_token_accuracy": 0.1653067871928215,
+      "num_tokens": 6149958.0,
+      "step": 3375
+    },
+    {
+      "entropy": 5.58657054901123,
+      "epoch": 2.8003314001657,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045055287704140115,
+      "loss": 5.4346,
+      "mean_token_accuracy": 0.15949429720640182,
+      "num_tokens": 6159411.0,
+      "step": 3380
+    },
+    {
+      "entropy": 5.595387983322143,
+      "epoch": 2.804473902236951,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004503528219635381,
+      "loss": 5.5138,
+      "mean_token_accuracy": 0.1545591250061989,
+      "num_tokens": 6169264.0,
+      "step": 3385
+    },
+    {
+      "entropy": 5.617677021026611,
+      "epoch": 2.8086164043082023,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004501524131798709,
+      "loss": 5.4826,
+      "mean_token_accuracy": 0.16332829892635345,
+      "num_tokens": 6178374.0,
+      "step": 3390
+    },
+    {
+      "entropy": 5.7183191776275635,
+      "epoch": 2.812758906379453,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000449951651094646,
+      "loss": 5.4697,
+      "mean_token_accuracy": 0.15537519603967667,
+      "num_tokens": 6186918.0,
+      "step": 3395
+    },
+    {
+      "entropy": 5.566522169113159,
+      "epoch": 2.816901408450704,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044975053611282217,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.1613329365849495,
+      "num_tokens": 6196400.0,
+      "step": 3400
+    },
+    {
+      "entropy": 5.514105558395386,
+      "epoch": 2.821043910521955,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004495490686400706,
+      "loss": 5.3941,
+      "mean_token_accuracy": 0.1649619847536087,
+      "num_tokens": 6204849.0,
+      "step": 3405
+    },
+    {
+      "entropy": 5.615210485458374,
+      "epoch": 2.8251864125932062,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00044934724908277313,
+      "loss": 5.4834,
+      "mean_token_accuracy": 0.16362717300653457,
+      "num_tokens": 6214121.0,
+      "step": 3410
+    },
+    {
+      "entropy": 5.654720067977905,
+      "epoch": 2.8293289146644574,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044914507784802184,
+      "loss": 5.4835,
+      "mean_token_accuracy": 0.16509974151849746,
+      "num_tokens": 6223163.0,
+      "step": 3415
+    },
+    {
+      "entropy": 5.641624307632446,
+      "epoch": 2.8334714167357085,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004489425553436182,
+      "loss": 5.5084,
+      "mean_token_accuracy": 0.15882937759160995,
+      "num_tokens": 6231581.0,
+      "step": 3420
+    },
+    {
+      "entropy": 5.659383153915405,
+      "epoch": 2.8376139188069596,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00044873968197807213,
+      "loss": 5.5838,
+      "mean_token_accuracy": 0.1599879801273346,
+      "num_tokens": 6240015.0,
+      "step": 3425
+    },
+    {
+      "entropy": 5.666435050964355,
+      "epoch": 2.8417564208782107,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044853645816060156,
+      "loss": 5.5979,
+      "mean_token_accuracy": 0.1532062940299511,
+      "num_tokens": 6249083.0,
+      "step": 3430
+    },
+    {
+      "entropy": 5.6627098560333256,
+      "epoch": 2.8458989229494613,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00044833288430113104,
+      "loss": 5.5496,
+      "mean_token_accuracy": 0.1654196172952652,
+      "num_tokens": 6258798.0,
+      "step": 3435
+    },
+    {
+      "entropy": 5.609176588058472,
+      "epoch": 2.8500414250207124,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00044812896081029136,
+      "loss": 5.4023,
+      "mean_token_accuracy": 0.16617698073387147,
+      "num_tokens": 6267819.0,
+      "step": 3440
+    },
+    {
+      "entropy": 5.626215600967408,
+      "epoch": 2.8541839270919636,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004479246880994183,
+      "loss": 5.4804,
+      "mean_token_accuracy": 0.15876610353589057,
+      "num_tokens": 6276915.0,
+      "step": 3445
+    },
+    {
+      "entropy": 5.627827167510986,
+      "epoch": 2.8583264291632147,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004477200665805525,
+      "loss": 5.5216,
+      "mean_token_accuracy": 0.15861138105392455,
+      "num_tokens": 6285880.0,
+      "step": 3450
+    },
+    {
+      "entropy": 5.6323963642120365,
+      "epoch": 2.8624689312344658,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00044751509666643777,
+      "loss": 5.6351,
+      "mean_token_accuracy": 0.14970673844218255,
+      "num_tokens": 6295408.0,
+      "step": 3455
+    },
+    {
+      "entropy": 5.6166990280151365,
+      "epoch": 2.8666114333057164,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044730977877052084,
+      "loss": 5.3753,
+      "mean_token_accuracy": 0.16562075018882752,
+      "num_tokens": 6304110.0,
+      "step": 3460
+    },
+    {
+      "entropy": 5.669659185409546,
+      "epoch": 2.8707539353769675,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00044710411330695045,
+      "loss": 5.5254,
+      "mean_token_accuracy": 0.15842530727386475,
+      "num_tokens": 6312577.0,
+      "step": 3465
+    },
+    {
+      "entropy": 5.738371801376343,
+      "epoch": 2.8748964374482187,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00044689810069057615,
+      "loss": 5.606,
+      "mean_token_accuracy": 0.15023296922445298,
+      "num_tokens": 6321766.0,
+      "step": 3470
+    },
+    {
+      "entropy": 5.642851161956787,
+      "epoch": 2.8790389395194698,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004466917413369479,
+      "loss": 5.5731,
+      "mean_token_accuracy": 0.151870658993721,
+      "num_tokens": 6330327.0,
+      "step": 3475
+    },
+    {
+      "entropy": 5.577242517471314,
+      "epoch": 2.883181441590721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004464850356623152,
+      "loss": 5.4926,
+      "mean_token_accuracy": 0.16011006087064744,
+      "num_tokens": 6339596.0,
+      "step": 3480
+    },
+    {
+      "entropy": 5.613158226013184,
+      "epoch": 2.887323943661972,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00044627798408362597,
+      "loss": 5.3986,
+      "mean_token_accuracy": 0.1670537531375885,
+      "num_tokens": 6348080.0,
+      "step": 3485
+    },
+    {
+      "entropy": 5.613135099411011,
+      "epoch": 2.891466445733223,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004460705870185258,
+      "loss": 5.5277,
+      "mean_token_accuracy": 0.15435466170310974,
+      "num_tokens": 6357725.0,
+      "step": 3490
+    },
+    {
+      "entropy": 5.627930736541748,
+      "epoch": 2.8956089478044738,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004458628448853572,
+      "loss": 5.4831,
+      "mean_token_accuracy": 0.16073092967271804,
+      "num_tokens": 6366821.0,
+      "step": 3495
+    },
+    {
+      "entropy": 5.729347085952758,
+      "epoch": 2.899751449875725,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004456547581031589,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.15560299083590506,
+      "num_tokens": 6375641.0,
+      "step": 3500
+    },
+    {
+      "epoch": 2.899751449875725,
+      "eval_entropy": 5.414937326394673,
+      "eval_loss": 5.899942874908447,
+      "eval_mean_token_accuracy": 0.15183768343569629,
+      "eval_num_tokens": 6375641.0,
+      "eval_runtime": 2.9583,
+      "eval_samples_per_second": 1266.605,
+      "eval_steps_per_second": 158.537,
+      "step": 3500
+    },
+    {
+      "entropy": 5.548971128463745,
+      "epoch": 2.903893951946976,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004454463270916646,
+      "loss": 5.404,
+      "mean_token_accuracy": 0.1680065542459488,
+      "num_tokens": 6384596.0,
+      "step": 3505
+    },
+    {
+      "entropy": 5.719941425323486,
+      "epoch": 2.908036454018227,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004452375522713023,
+      "loss": 5.7474,
+      "mean_token_accuracy": 0.14030246064066887,
+      "num_tokens": 6395048.0,
+      "step": 3510
+    },
+    {
+      "entropy": 5.643452119827271,
+      "epoch": 2.912178956089478,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004450284340631938,
+      "loss": 5.5762,
+      "mean_token_accuracy": 0.15520212948322296,
+      "num_tokens": 6404828.0,
+      "step": 3515
+    },
+    {
+      "entropy": 5.627139854431152,
+      "epoch": 2.916321458160729,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044481897288915334,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.16042221039533616,
+      "num_tokens": 6414670.0,
+      "step": 3520
+    },
+    {
+      "entropy": 5.474701166152954,
+      "epoch": 2.92046396023198,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044460916917168697,
+      "loss": 5.3896,
+      "mean_token_accuracy": 0.16453512459993364,
+      "num_tokens": 6423446.0,
+      "step": 3525
+    },
+    {
+      "entropy": 5.5396312236785885,
+      "epoch": 2.924606462303231,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004443990233339918,
+      "loss": 5.4655,
+      "mean_token_accuracy": 0.1552535504102707,
+      "num_tokens": 6433412.0,
+      "step": 3530
+    },
+    {
+      "entropy": 5.652051544189453,
+      "epoch": 2.928748964374482,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004441885357999548,
+      "loss": 5.444,
+      "mean_token_accuracy": 0.1643453508615494,
+      "num_tokens": 6443520.0,
+      "step": 3535
+    },
+    {
+      "entropy": 5.674185514450073,
+      "epoch": 2.9328914664457333,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004439777069941524,
+      "loss": 5.5527,
+      "mean_token_accuracy": 0.15431721061468123,
+      "num_tokens": 6452933.0,
+      "step": 3540
+    },
+    {
+      "entropy": 5.550513553619385,
+      "epoch": 2.9370339685169844,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044376653734184935,
+      "loss": 5.3908,
+      "mean_token_accuracy": 0.16788479536771775,
+      "num_tokens": 6462113.0,
+      "step": 3545
+    },
+    {
+      "entropy": 5.468146800994873,
+      "epoch": 2.9411764705882355,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004435550272689979,
+      "loss": 5.4246,
+      "mean_token_accuracy": 0.16583772748708725,
+      "num_tokens": 6471411.0,
+      "step": 3550
+    },
+    {
+      "entropy": 5.662385082244873,
+      "epoch": 2.945318972659486,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00044334317720223706,
+      "loss": 5.532,
+      "mean_token_accuracy": 0.1599032275378704,
+      "num_tokens": 6480682.0,
+      "step": 3555
+    },
+    {
+      "entropy": 5.678339672088623,
+      "epoch": 2.9494614747307373,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00044313098756889154,
+      "loss": 5.5754,
+      "mean_token_accuracy": 0.15587076246738435,
+      "num_tokens": 6490614.0,
+      "step": 3560
+    },
+    {
+      "entropy": 5.585533094406128,
+      "epoch": 2.9536039768019884,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004429184587969708,
+      "loss": 5.4273,
+      "mean_token_accuracy": 0.16405707746744155,
+      "num_tokens": 6499079.0,
+      "step": 3565
+    },
+    {
+      "entropy": 5.668995666503906,
+      "epoch": 2.9577464788732395,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004427055913151689,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.14727827310562133,
+      "num_tokens": 6508556.0,
+      "step": 3570
+    },
+    {
+      "entropy": 5.70610499382019,
+      "epoch": 2.9618889809444906,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004424923855528626,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.15901169627904893,
+      "num_tokens": 6517934.0,
+      "step": 3575
+    },
+    {
+      "entropy": 5.614701509475708,
+      "epoch": 2.9660314830157413,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004422788419401114,
+      "loss": 5.4321,
+      "mean_token_accuracy": 0.1702651560306549,
+      "num_tokens": 6526995.0,
+      "step": 3580
+    },
+    {
+      "entropy": 5.572284936904907,
+      "epoch": 2.9701739850869924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00044206496090765595,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1573972523212433,
+      "num_tokens": 6535264.0,
+      "step": 3585
+    },
+    {
+      "entropy": 5.610080623626709,
+      "epoch": 2.9743164871582435,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00044185074288691776,
+      "loss": 5.3994,
+      "mean_token_accuracy": 0.1746336281299591,
+      "num_tokens": 6544498.0,
+      "step": 3590
+    },
+    {
+      "entropy": 5.582769393920898,
+      "epoch": 2.9784589892294946,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044163618830999794,
+      "loss": 5.5098,
+      "mean_token_accuracy": 0.16030704230070114,
+      "num_tokens": 6554761.0,
+      "step": 3595
+    },
+    {
+      "entropy": 5.603819417953491,
+      "epoch": 2.9826014913007457,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044142129760967643,
+      "loss": 5.5614,
+      "mean_token_accuracy": 0.15714355707168579,
+      "num_tokens": 6564039.0,
+      "step": 3600
+    },
+    {
+      "entropy": 5.679829835891724,
+      "epoch": 2.986743993371997,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004412060712194115,
+      "loss": 5.5068,
+      "mean_token_accuracy": 0.15993095487356185,
+      "num_tokens": 6572559.0,
+      "step": 3605
+    },
+    {
+      "entropy": 5.589264869689941,
+      "epoch": 2.990886495443248,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004409905095733381,
+      "loss": 5.4931,
+      "mean_token_accuracy": 0.1612076446413994,
+      "num_tokens": 6581621.0,
+      "step": 3610
+    },
+    {
+      "entropy": 5.550649166107178,
+      "epoch": 2.995028997514499,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00044077461310626764,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.15403861105442046,
+      "num_tokens": 6590353.0,
+      "step": 3615
+    },
+    {
+      "entropy": 5.64892258644104,
+      "epoch": 2.9991714995857497,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000440558382253687,
+      "loss": 5.4575,
+      "mean_token_accuracy": 0.16497674435377122,
+      "num_tokens": 6598822.0,
+      "step": 3620
+    },
+    {
+      "entropy": 5.5967165470123295,
+      "epoch": 3.003314001657001,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004403418174517573,
+      "loss": 5.2529,
+      "mean_token_accuracy": 0.16683556884527206,
+      "num_tokens": 6606728.0,
+      "step": 3625
+    },
+    {
+      "entropy": 5.599476623535156,
+      "epoch": 3.007456503728252,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044012491913731353,
+      "loss": 5.1756,
+      "mean_token_accuracy": 0.1743481546640396,
+      "num_tokens": 6616226.0,
+      "step": 3630
+    },
+    {
+      "entropy": 5.5095573425292965,
+      "epoch": 3.011599005799503,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004399076877478632,
+      "loss": 5.0266,
+      "mean_token_accuracy": 0.1868550017476082,
+      "num_tokens": 6624801.0,
+      "step": 3635
+    },
+    {
+      "entropy": 5.60879430770874,
+      "epoch": 3.015741507870754,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004396901237215858,
+      "loss": 5.2209,
+      "mean_token_accuracy": 0.16688485741615294,
+      "num_tokens": 6633043.0,
+      "step": 3640
+    },
+    {
+      "entropy": 5.538025426864624,
+      "epoch": 3.019884009942005,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043947222749733173,
+      "loss": 5.1692,
+      "mean_token_accuracy": 0.17499702274799347,
+      "num_tokens": 6641197.0,
+      "step": 3645
+    },
+    {
+      "entropy": 5.586767101287842,
+      "epoch": 3.024026512013256,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043925399951462153,
+      "loss": 5.2064,
+      "mean_token_accuracy": 0.1801098555326462,
+      "num_tokens": 6650411.0,
+      "step": 3650
+    },
+    {
+      "entropy": 5.4191618919372555,
+      "epoch": 3.028169014084507,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004390354402136449,
+      "loss": 5.0903,
+      "mean_token_accuracy": 0.17804521024227143,
+      "num_tokens": 6659405.0,
+      "step": 3655
+    },
+    {
+      "entropy": 5.583788824081421,
+      "epoch": 3.032311516155758,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0004388165500352597,
+      "loss": 5.1642,
+      "mean_token_accuracy": 0.17557908743619918,
+      "num_tokens": 6667701.0,
+      "step": 3660
+    },
+    {
+      "entropy": 5.614604902267456,
+      "epoch": 3.036454018227009,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004385973294209915,
+      "loss": 5.1881,
+      "mean_token_accuracy": 0.17808027267456056,
+      "num_tokens": 6676801.0,
+      "step": 3665
+    },
+    {
+      "entropy": 5.457578706741333,
+      "epoch": 3.0405965202982603,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004383777788130321,
+      "loss": 5.083,
+      "mean_token_accuracy": 0.17836775481700898,
+      "num_tokens": 6686005.0,
+      "step": 3670
+    },
+    {
+      "entropy": 5.479088068008423,
+      "epoch": 3.044739022369511,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004381578986542393,
+      "loss": 5.0937,
+      "mean_token_accuracy": 0.17960153371095658,
+      "num_tokens": 6694884.0,
+      "step": 3675
+    },
+    {
+      "entropy": 5.501745700836182,
+      "epoch": 3.048881524440762,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004379376893881352,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.17827630788087845,
+      "num_tokens": 6703476.0,
+      "step": 3680
+    },
+    {
+      "entropy": 5.616245269775391,
+      "epoch": 3.053024026512013,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004377171514589059,
+      "loss": 5.2531,
+      "mean_token_accuracy": 0.1736731931567192,
+      "num_tokens": 6712576.0,
+      "step": 3685
+    },
+    {
+      "entropy": 5.398316955566406,
+      "epoch": 3.0571665285832643,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004374962853114007,
+      "loss": 5.0545,
+      "mean_token_accuracy": 0.18062082678079605,
+      "num_tokens": 6721532.0,
+      "step": 3690
+    },
+    {
+      "entropy": 5.480774354934693,
+      "epoch": 3.0613090306545154,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004372750913911306,
+      "loss": 5.1028,
+      "mean_token_accuracy": 0.18300070911645888,
+      "num_tokens": 6730055.0,
+      "step": 3695
+    },
+    {
+      "entropy": 5.446919918060303,
+      "epoch": 3.0654515327257665,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004370535701442679,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.17969694286584853,
+      "num_tokens": 6739310.0,
+      "step": 3700
+    },
+    {
+      "entropy": 5.54828953742981,
+      "epoch": 3.069594034797017,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043683172201764537,
+      "loss": 5.2581,
+      "mean_token_accuracy": 0.16716694980859756,
+      "num_tokens": 6748976.0,
+      "step": 3705
+    },
+    {
+      "entropy": 5.539231872558593,
+      "epoch": 3.0737365368682683,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004366095474587547,
+      "loss": 5.1044,
+      "mean_token_accuracy": 0.17598106861114501,
+      "num_tokens": 6758043.0,
+      "step": 3710
+    },
+    {
+      "entropy": 5.500854778289795,
+      "epoch": 3.0778790389395194,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00043638704691574646,
+      "loss": 5.163,
+      "mean_token_accuracy": 0.1786232903599739,
+      "num_tokens": 6767554.0,
+      "step": 3715
+    },
+    {
+      "entropy": 5.560473966598511,
+      "epoch": 3.0820215410107705,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004361642208374283,
+      "loss": 5.1882,
+      "mean_token_accuracy": 0.1666739672422409,
+      "num_tokens": 6776161.0,
+      "step": 3720
+    },
+    {
+      "entropy": 5.476630401611328,
+      "epoch": 3.0861640430820216,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043594106967326495,
+      "loss": 5.1169,
+      "mean_token_accuracy": 0.17555084377527236,
+      "num_tokens": 6785371.0,
+      "step": 3725
+    },
+    {
+      "entropy": 5.494755983352661,
+      "epoch": 3.0903065451532727,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00043571759387337665,
+      "loss": 5.1456,
+      "mean_token_accuracy": 0.1808715656399727,
+      "num_tokens": 6795242.0,
+      "step": 3730
+    },
+    {
+      "entropy": 5.591760492324829,
+      "epoch": 3.0944490472245234,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004354937938885385,
+      "loss": 5.2235,
+      "mean_token_accuracy": 0.17338325083255768,
+      "num_tokens": 6805423.0,
+      "step": 3735
+    },
+    {
+      "entropy": 5.464981889724731,
+      "epoch": 3.0985915492957745,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004352696701701796,
+      "loss": 5.1469,
+      "mean_token_accuracy": 0.17880967408418655,
+      "num_tokens": 6814377.0,
+      "step": 3740
+    },
+    {
+      "entropy": 5.448660278320313,
+      "epoch": 3.1027340513670256,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004350452231703819,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.18132367432117463,
+      "num_tokens": 6824025.0,
+      "step": 3745
+    },
+    {
+      "entropy": 5.550149536132812,
+      "epoch": 3.1068765534382767,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043482045334187954,
+      "loss": 5.1273,
+      "mean_token_accuracy": 0.18649032860994338,
+      "num_tokens": 6833071.0,
+      "step": 3750
+    },
+    {
+      "entropy": 5.442513799667358,
+      "epoch": 3.111019055509528,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043459536113805785,
+      "loss": 5.1076,
+      "mean_token_accuracy": 0.17443138360977173,
+      "num_tokens": 6841983.0,
+      "step": 3755
+    },
+    {
+      "entropy": 5.447629022598266,
+      "epoch": 3.115161557580779,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00043436994701295237,
+      "loss": 5.1043,
+      "mean_token_accuracy": 0.17914267033338546,
+      "num_tokens": 6851436.0,
+      "step": 3760
+    },
+    {
+      "entropy": 5.461205101013183,
+      "epoch": 3.1193040596520296,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00043414421142124804,
+      "loss": 5.1836,
+      "mean_token_accuracy": 0.1672696813941002,
+      "num_tokens": 6861810.0,
+      "step": 3765
+    },
+    {
+      "entropy": 5.478553342819214,
+      "epoch": 3.1234465617232807,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00043391815481827814,
+      "loss": 5.0639,
+      "mean_token_accuracy": 0.18850475996732713,
+      "num_tokens": 6870418.0,
+      "step": 3770
+    },
+    {
+      "entropy": 5.41155161857605,
+      "epoch": 3.127589063794532,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004336917776600237,
+      "loss": 5.0683,
+      "mean_token_accuracy": 0.18221812546253205,
+      "num_tokens": 6879419.0,
+      "step": 3775
+    },
+    {
+      "entropy": 5.435874891281128,
+      "epoch": 3.131731565865783,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004334650804031122,
+      "loss": 5.1852,
+      "mean_token_accuracy": 0.17172302156686783,
+      "num_tokens": 6888768.0,
+      "step": 3780
+    },
+    {
+      "entropy": 5.507850646972656,
+      "epoch": 3.135874067937034,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004332380635048165,
+      "loss": 5.1296,
+      "mean_token_accuracy": 0.17900288552045823,
+      "num_tokens": 6897133.0,
+      "step": 3785
+    },
+    {
+      "entropy": 5.485491752624512,
+      "epoch": 3.140016570008285,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00043301072742305474,
+      "loss": 5.1773,
+      "mean_token_accuracy": 0.17168077528476716,
+      "num_tokens": 6904976.0,
+      "step": 3790
+    },
+    {
+      "entropy": 5.537312364578247,
+      "epoch": 3.1441590720795363,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0004327830726163886,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.17883574068546296,
+      "num_tokens": 6915138.0,
+      "step": 3795
+    },
+    {
+      "entropy": 5.548703718185425,
+      "epoch": 3.148301574150787,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0004325550995440226,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.1752033144235611,
+      "num_tokens": 6923962.0,
+      "step": 3800
+    },
+    {
+      "entropy": 5.386642169952393,
+      "epoch": 3.152444076222038,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043232680866580356,
+      "loss": 5.1478,
+      "mean_token_accuracy": 0.17952724993228913,
+      "num_tokens": 6932102.0,
+      "step": 3805
+    },
+    {
+      "entropy": 5.464086627960205,
+      "epoch": 3.156586578293289,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00043209820044221893,
+      "loss": 5.153,
+      "mean_token_accuracy": 0.1785269558429718,
+      "num_tokens": 6940354.0,
+      "step": 3810
+    },
+    {
+      "entropy": 5.4963922023773195,
+      "epoch": 3.1607290803645403,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00043186927533439654,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.1716633692383766,
+      "num_tokens": 6949779.0,
+      "step": 3815
+    },
+    {
+      "entropy": 5.536400413513183,
+      "epoch": 3.1648715824357914,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043164003380410335,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.17445194274187087,
+      "num_tokens": 6958760.0,
+      "step": 3820
+    },
+    {
+      "entropy": 5.486375331878662,
+      "epoch": 3.169014084507042,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004314104763137445,
+      "loss": 5.1037,
+      "mean_token_accuracy": 0.18134674280881882,
+      "num_tokens": 6967535.0,
+      "step": 3825
+    },
+    {
+      "entropy": 5.469356393814087,
+      "epoch": 3.173156586578293,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043118060332636264,
+      "loss": 5.2036,
+      "mean_token_accuracy": 0.17774708271026612,
+      "num_tokens": 6976211.0,
+      "step": 3830
+    },
+    {
+      "entropy": 5.576221227645874,
+      "epoch": 3.1772990886495442,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043095041530563665,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.17325948774814606,
+      "num_tokens": 6986001.0,
+      "step": 3835
+    },
+    {
+      "entropy": 5.420689487457276,
+      "epoch": 3.1814415907207954,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00043071991271588104,
+      "loss": 5.2006,
+      "mean_token_accuracy": 0.18302187621593474,
+      "num_tokens": 6994568.0,
+      "step": 3840
+    },
+    {
+      "entropy": 5.52434401512146,
+      "epoch": 3.1855840927920465,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004304890960220446,
+      "loss": 5.2921,
+      "mean_token_accuracy": 0.16869494169950486,
+      "num_tokens": 7004744.0,
+      "step": 3845
+    },
+    {
+      "entropy": 5.520354557037353,
+      "epoch": 3.1897265948632976,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043025796568970975,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.1696591019630432,
+      "num_tokens": 7014315.0,
+      "step": 3850
+    },
+    {
+      "entropy": 5.523347425460815,
+      "epoch": 3.1938690969345487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043002652218509184,
+      "loss": 5.1172,
+      "mean_token_accuracy": 0.18450311720371246,
+      "num_tokens": 7022258.0,
+      "step": 3855
+    },
+    {
+      "entropy": 5.522213459014893,
+      "epoch": 3.1980115990057993,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004297947659750376,
+      "loss": 5.2587,
+      "mean_token_accuracy": 0.1674624815583229,
+      "num_tokens": 7031732.0,
+      "step": 3860
+    },
+    {
+      "entropy": 5.467557621002197,
+      "epoch": 3.2021541010770505,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004295626975270246,
+      "loss": 5.1818,
+      "mean_token_accuracy": 0.1766605108976364,
+      "num_tokens": 7040478.0,
+      "step": 3865
+    },
+    {
+      "entropy": 5.490935039520264,
+      "epoch": 3.2062966031483016,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00042933031730916024,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.18396904766559602,
+      "num_tokens": 7049360.0,
+      "step": 3870
+    },
+    {
+      "entropy": 5.5688018798828125,
+      "epoch": 3.2104391052195527,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000429097625790181,
+      "loss": 5.2267,
+      "mean_token_accuracy": 0.17498258501291275,
+      "num_tokens": 7059271.0,
+      "step": 3875
+    },
+    {
+      "entropy": 5.398471450805664,
+      "epoch": 3.2145816072908038,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004288646234394508,
+      "loss": 5.2177,
+      "mean_token_accuracy": 0.17296054661273957,
+      "num_tokens": 7069038.0,
+      "step": 3880
+    },
+    {
+      "entropy": 5.5407984256744385,
+      "epoch": 3.218724109362055,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00042863131072696115,
+      "loss": 5.1617,
+      "mean_token_accuracy": 0.17704827934503556,
+      "num_tokens": 7077971.0,
+      "step": 3885
+    },
+    {
+      "entropy": 5.4559561252594,
+      "epoch": 3.2228666114333056,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00042839768812332905,
+      "loss": 5.1612,
+      "mean_token_accuracy": 0.17406544089317322,
+      "num_tokens": 7086821.0,
+      "step": 3890
+    },
+    {
+      "entropy": 5.419722366333008,
+      "epoch": 3.2270091135045567,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000428163756099797,
+      "loss": 5.1859,
+      "mean_token_accuracy": 0.17225482910871506,
+      "num_tokens": 7095407.0,
+      "step": 3895
+    },
+    {
+      "entropy": 5.48249921798706,
+      "epoch": 3.2311516155758078,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004279295151282314,
+      "loss": 5.1116,
+      "mean_token_accuracy": 0.18240531533956528,
+      "num_tokens": 7103964.0,
+      "step": 3900
+    },
+    {
+      "entropy": 5.564240264892578,
+      "epoch": 3.235294117647059,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004276949656811217,
+      "loss": 5.251,
+      "mean_token_accuracy": 0.17079487890005113,
+      "num_tokens": 7113571.0,
+      "step": 3905
+    },
+    {
+      "entropy": 5.522033739089966,
+      "epoch": 3.23943661971831,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00042746010823158006,
+      "loss": 5.2738,
+      "mean_token_accuracy": 0.17067040055990218,
+      "num_tokens": 7122844.0,
+      "step": 3910
+    },
+    {
+      "entropy": 5.4324219703674315,
+      "epoch": 3.243579121789561,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042722494325333945,
+      "loss": 5.1326,
+      "mean_token_accuracy": 0.176889306306839,
+      "num_tokens": 7132123.0,
+      "step": 3915
+    },
+    {
+      "entropy": 5.458636379241943,
+      "epoch": 3.2477216238608118,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004269894712207533,
+      "loss": 5.1819,
+      "mean_token_accuracy": 0.18051923513412477,
+      "num_tokens": 7141068.0,
+      "step": 3920
+    },
+    {
+      "entropy": 5.43212571144104,
+      "epoch": 3.251864125932063,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004267536926087947,
+      "loss": 5.1925,
+      "mean_token_accuracy": 0.1708641156554222,
+      "num_tokens": 7150829.0,
+      "step": 3925
+    },
+    {
+      "entropy": 5.458031702041626,
+      "epoch": 3.256006628003314,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004265176078930545,
+      "loss": 5.1703,
+      "mean_token_accuracy": 0.17345706522464752,
+      "num_tokens": 7160814.0,
+      "step": 3930
+    },
+    {
+      "entropy": 5.498150825500488,
+      "epoch": 3.260149130074565,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00042628121754974166,
+      "loss": 5.2634,
+      "mean_token_accuracy": 0.17203340232372283,
+      "num_tokens": 7170085.0,
+      "step": 3935
+    },
+    {
+      "entropy": 5.590339422225952,
+      "epoch": 3.264291632145816,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004260445220556811,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.1736685037612915,
+      "num_tokens": 7179366.0,
+      "step": 3940
+    },
+    {
+      "entropy": 5.52174072265625,
+      "epoch": 3.2684341342170673,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00042580752188831376,
+      "loss": 5.2819,
+      "mean_token_accuracy": 0.17067586481571198,
+      "num_tokens": 7188342.0,
+      "step": 3945
+    },
+    {
+      "entropy": 5.556540441513062,
+      "epoch": 3.272576636288318,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004255702175256946,
+      "loss": 5.3095,
+      "mean_token_accuracy": 0.17531315684318544,
+      "num_tokens": 7197466.0,
+      "step": 3950
+    },
+    {
+      "entropy": 5.42687840461731,
+      "epoch": 3.276719138359569,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00042533260944649273,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17852312475442886,
+      "num_tokens": 7205462.0,
+      "step": 3955
+    },
+    {
+      "entropy": 5.424286890029907,
+      "epoch": 3.28086164043082,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004250946981299893,
+      "loss": 5.1838,
+      "mean_token_accuracy": 0.17682615667581558,
+      "num_tokens": 7215115.0,
+      "step": 3960
+    },
+    {
+      "entropy": 5.459038209915161,
+      "epoch": 3.2850041425020713,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00042485648405607776,
+      "loss": 5.1379,
+      "mean_token_accuracy": 0.17029522657394408,
+      "num_tokens": 7224909.0,
+      "step": 3965
+    },
+    {
+      "entropy": 5.392039203643799,
+      "epoch": 3.2891466445733224,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004246179677052617,
+      "loss": 5.0642,
+      "mean_token_accuracy": 0.18698266595602037,
+      "num_tokens": 7232946.0,
+      "step": 3970
+    },
+    {
+      "entropy": 5.362467432022095,
+      "epoch": 3.2932891466445735,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004243791495586547,
+      "loss": 5.1736,
+      "mean_token_accuracy": 0.17996304631233215,
+      "num_tokens": 7241104.0,
+      "step": 3975
+    },
+    {
+      "entropy": 5.567073392868042,
+      "epoch": 3.297431648715824,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004241400300979791,
+      "loss": 5.2257,
+      "mean_token_accuracy": 0.1786801502108574,
+      "num_tokens": 7250749.0,
+      "step": 3980
+    },
+    {
+      "entropy": 5.447740983963013,
+      "epoch": 3.3015741507870753,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004239006098055651,
+      "loss": 5.124,
+      "mean_token_accuracy": 0.1787547677755356,
+      "num_tokens": 7258687.0,
+      "step": 3985
+    },
+    {
+      "entropy": 5.41381049156189,
+      "epoch": 3.3057166528583264,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004236608891643494,
+      "loss": 5.1572,
+      "mean_token_accuracy": 0.17702401280403138,
+      "num_tokens": 7267316.0,
+      "step": 3990
+    },
+    {
+      "entropy": 5.448715782165527,
+      "epoch": 3.3098591549295775,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004234208686578748,
+      "loss": 5.1777,
+      "mean_token_accuracy": 0.17505329996347427,
+      "num_tokens": 7276734.0,
+      "step": 3995
+    },
+    {
+      "entropy": 5.440592193603516,
+      "epoch": 3.3140016570008286,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00042318054877028876,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17840310037136078,
+      "num_tokens": 7285916.0,
+      "step": 4000
+    },
+    {
+      "epoch": 3.3140016570008286,
+      "eval_entropy": 5.363256025416002,
+      "eval_loss": 5.893955707550049,
+      "eval_mean_token_accuracy": 0.15349840453819935,
+      "eval_num_tokens": 7285916.0,
+      "eval_runtime": 2.7471,
+      "eval_samples_per_second": 1363.961,
+      "eval_steps_per_second": 170.723,
+      "step": 4000
+    },
+    {
+      "entropy": 5.487448406219483,
+      "epoch": 3.3181441590720797,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042293992998634314,
+      "loss": 5.1667,
+      "mean_token_accuracy": 0.17779863625764847,
+      "num_tokens": 7294184.0,
+      "step": 4005
+    },
+    {
+      "entropy": 5.414953899383545,
+      "epoch": 3.3222866611433304,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004226990127913918,
+      "loss": 5.177,
+      "mean_token_accuracy": 0.1768763244152069,
+      "num_tokens": 7302647.0,
+      "step": 4010
+    },
+    {
+      "entropy": 5.442982530593872,
+      "epoch": 3.3264291632145815,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004224577976713915,
+      "loss": 5.2506,
+      "mean_token_accuracy": 0.16832198798656464,
+      "num_tokens": 7311455.0,
+      "step": 4015
+    },
+    {
+      "entropy": 5.609448575973511,
+      "epoch": 3.3305716652858326,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00042221628511289927,
+      "loss": 5.3136,
+      "mean_token_accuracy": 0.16625809520483018,
+      "num_tokens": 7320978.0,
+      "step": 4020
+    },
+    {
+      "entropy": 5.612923622131348,
+      "epoch": 3.3347141673570837,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004219744756030723,
+      "loss": 5.3273,
+      "mean_token_accuracy": 0.16872513592243193,
+      "num_tokens": 7330202.0,
+      "step": 4025
+    },
+    {
+      "entropy": 5.4015247344970705,
+      "epoch": 3.338856669428335,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00042173236962966706,
+      "loss": 5.1649,
+      "mean_token_accuracy": 0.17969190180301667,
+      "num_tokens": 7339121.0,
+      "step": 4030
+    },
+    {
+      "entropy": 5.492907905578614,
+      "epoch": 3.342999171499586,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004214899676810375,
+      "loss": 5.2251,
+      "mean_token_accuracy": 0.1665240079164505,
+      "num_tokens": 7348631.0,
+      "step": 4035
+    },
+    {
+      "entropy": 5.469464063644409,
+      "epoch": 3.347141673570837,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004212472702461348,
+      "loss": 5.1843,
+      "mean_token_accuracy": 0.1820875510573387,
+      "num_tokens": 7358354.0,
+      "step": 4040
+    },
+    {
+      "entropy": 5.454071807861328,
+      "epoch": 3.3512841756420877,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004210042778145064,
+      "loss": 5.2038,
+      "mean_token_accuracy": 0.17285584658384323,
+      "num_tokens": 7367031.0,
+      "step": 4045
+    },
+    {
+      "entropy": 5.436822319030762,
+      "epoch": 3.355426677713339,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00042076099087629443,
+      "loss": 5.2025,
+      "mean_token_accuracy": 0.1784903883934021,
+      "num_tokens": 7375996.0,
+      "step": 4050
+    },
+    {
+      "entropy": 5.552537536621093,
+      "epoch": 3.35956917978459,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00042051740992223534,
+      "loss": 5.2567,
+      "mean_token_accuracy": 0.16439318358898164,
+      "num_tokens": 7385355.0,
+      "step": 4055
+    },
+    {
+      "entropy": 5.402252960205078,
+      "epoch": 3.363711681855841,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004202735354436586,
+      "loss": 5.0999,
+      "mean_token_accuracy": 0.1792566418647766,
+      "num_tokens": 7394384.0,
+      "step": 4060
+    },
+    {
+      "entropy": 5.511481237411499,
+      "epoch": 3.367854183927092,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00042002936793248546,
+      "loss": 5.2458,
+      "mean_token_accuracy": 0.1770971804857254,
+      "num_tokens": 7403141.0,
+      "step": 4065
+    },
+    {
+      "entropy": 5.508409786224365,
+      "epoch": 3.371996685998343,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004197849078812286,
+      "loss": 5.199,
+      "mean_token_accuracy": 0.1739865079522133,
+      "num_tokens": 7413331.0,
+      "step": 4070
+    },
+    {
+      "entropy": 5.471702003479004,
+      "epoch": 3.376139188069594,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004195401557829907,
+      "loss": 5.2368,
+      "mean_token_accuracy": 0.17052597552537918,
+      "num_tokens": 7422362.0,
+      "step": 4075
+    },
+    {
+      "entropy": 5.4563977241516115,
+      "epoch": 3.380281690140845,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041929511213146343,
+      "loss": 5.1661,
+      "mean_token_accuracy": 0.18033864200115204,
+      "num_tokens": 7431350.0,
+      "step": 4080
+    },
+    {
+      "entropy": 5.4815953254699705,
+      "epoch": 3.384424192212096,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004190497774209266,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.1800685152411461,
+      "num_tokens": 7440382.0,
+      "step": 4085
+    },
+    {
+      "entropy": 5.51438536643982,
+      "epoch": 3.3885666942833472,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00041880415214624715,
+      "loss": 5.2355,
+      "mean_token_accuracy": 0.17847414761781694,
+      "num_tokens": 7449357.0,
+      "step": 4090
+    },
+    {
+      "entropy": 5.463125705718994,
+      "epoch": 3.3927091963545983,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004185582368028781,
+      "loss": 5.1468,
+      "mean_token_accuracy": 0.1853232800960541,
+      "num_tokens": 7457544.0,
+      "step": 4095
+    },
+    {
+      "entropy": 5.409591102600098,
+      "epoch": 3.3968516984258494,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004183120318868577,
+      "loss": 5.1616,
+      "mean_token_accuracy": 0.18774343580007552,
+      "num_tokens": 7465915.0,
+      "step": 4100
+    },
+    {
+      "entropy": 5.435869741439819,
+      "epoch": 3.4009942004971,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00041806553789480787,
+      "loss": 5.1161,
+      "mean_token_accuracy": 0.1833360970020294,
+      "num_tokens": 7474551.0,
+      "step": 4105
+    },
+    {
+      "entropy": 5.507905626296997,
+      "epoch": 3.405136702568351,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00041781875532393423,
+      "loss": 5.2287,
+      "mean_token_accuracy": 0.17473389357328414,
+      "num_tokens": 7483271.0,
+      "step": 4110
+    },
+    {
+      "entropy": 5.474280261993409,
+      "epoch": 3.4092792046396023,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00041757168467202404,
+      "loss": 5.2371,
+      "mean_token_accuracy": 0.17051266878843307,
+      "num_tokens": 7493179.0,
+      "step": 4115
+    },
+    {
+      "entropy": 5.47375521659851,
+      "epoch": 3.4134217067108534,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00041732432643744576,
+      "loss": 5.2132,
+      "mean_token_accuracy": 0.17562344074249267,
+      "num_tokens": 7501858.0,
+      "step": 4120
+    },
+    {
+      "entropy": 5.562008953094482,
+      "epoch": 3.4175642087821045,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004170766811191481,
+      "loss": 5.282,
+      "mean_token_accuracy": 0.16895801872014998,
+      "num_tokens": 7511817.0,
+      "step": 4125
+    },
+    {
+      "entropy": 5.3949895858764645,
+      "epoch": 3.421706710853355,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.0004168287492166587,
+      "loss": 5.2513,
+      "mean_token_accuracy": 0.175115604698658,
+      "num_tokens": 7521655.0,
+      "step": 4130
+    },
+    {
+      "entropy": 5.478516006469727,
+      "epoch": 3.4258492129246063,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041658053123008325,
+      "loss": 5.2289,
+      "mean_token_accuracy": 0.17174260020256044,
+      "num_tokens": 7531321.0,
+      "step": 4135
+    },
+    {
+      "entropy": 5.469200515747071,
+      "epoch": 3.4299917149958574,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004163320276601046,
+      "loss": 5.2104,
+      "mean_token_accuracy": 0.17538849860429764,
+      "num_tokens": 7540613.0,
+      "step": 4140
+    },
+    {
+      "entropy": 5.478423690795898,
+      "epoch": 3.4341342170671085,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004160832390079816,
+      "loss": 5.2823,
+      "mean_token_accuracy": 0.17514234632253647,
+      "num_tokens": 7549598.0,
+      "step": 4145
+    },
+    {
+      "entropy": 5.449503993988037,
+      "epoch": 3.4382767191383596,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00041583416577554815,
+      "loss": 5.1509,
+      "mean_token_accuracy": 0.18169643133878707,
+      "num_tokens": 7558738.0,
+      "step": 4150
+    },
+    {
+      "entropy": 5.454873323440552,
+      "epoch": 3.4424192212096107,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041558480846521213,
+      "loss": 5.1996,
+      "mean_token_accuracy": 0.17627429366111755,
+      "num_tokens": 7566873.0,
+      "step": 4155
+    },
+    {
+      "entropy": 5.413073778152466,
+      "epoch": 3.446561723280862,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041533516757995455,
+      "loss": 5.18,
+      "mean_token_accuracy": 0.1794169783592224,
+      "num_tokens": 7576645.0,
+      "step": 4160
+    },
+    {
+      "entropy": 5.449489498138428,
+      "epoch": 3.4507042253521125,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004150852436233283,
+      "loss": 5.1844,
+      "mean_token_accuracy": 0.17338148206472398,
+      "num_tokens": 7584854.0,
+      "step": 4165
+    },
+    {
+      "entropy": 5.500524044036865,
+      "epoch": 3.4548467274233636,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004148350370994574,
+      "loss": 5.3142,
+      "mean_token_accuracy": 0.16781232208013536,
+      "num_tokens": 7594022.0,
+      "step": 4170
+    },
+    {
+      "entropy": 5.458495187759399,
+      "epoch": 3.4589892294946147,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004145845485130357,
+      "loss": 5.1757,
+      "mean_token_accuracy": 0.17461147904396057,
+      "num_tokens": 7603259.0,
+      "step": 4175
+    },
+    {
+      "entropy": 5.453242301940918,
+      "epoch": 3.463131731565866,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00041433377836932594,
+      "loss": 5.2853,
+      "mean_token_accuracy": 0.1680028423666954,
+      "num_tokens": 7613451.0,
+      "step": 4180
+    },
+    {
+      "entropy": 5.533868455886841,
+      "epoch": 3.467274233637117,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00041408272717415913,
+      "loss": 5.245,
+      "mean_token_accuracy": 0.17225596755743028,
+      "num_tokens": 7622218.0,
+      "step": 4185
+    },
+    {
+      "entropy": 5.351213121414185,
+      "epoch": 3.4714167357083676,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004138313954339327,
+      "loss": 5.104,
+      "mean_token_accuracy": 0.17463669180870056,
+      "num_tokens": 7630508.0,
+      "step": 4190
+    },
+    {
+      "entropy": 5.488496780395508,
+      "epoch": 3.4755592377796187,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004135797836556106,
+      "loss": 5.1982,
+      "mean_token_accuracy": 0.181541608273983,
+      "num_tokens": 7640141.0,
+      "step": 4195
+    },
+    {
+      "entropy": 5.459699392318726,
+      "epoch": 3.47970173985087,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041332789234672094,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1721531167626381,
+      "num_tokens": 7648764.0,
+      "step": 4200
+    },
+    {
+      "entropy": 5.406872129440307,
+      "epoch": 3.483844241922121,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004130757220153561,
+      "loss": 5.1952,
+      "mean_token_accuracy": 0.18173792064189911,
+      "num_tokens": 7658642.0,
+      "step": 4205
+    },
+    {
+      "entropy": 5.544135618209839,
+      "epoch": 3.487986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004128232731701712,
+      "loss": 5.377,
+      "mean_token_accuracy": 0.16519460082054138,
+      "num_tokens": 7667524.0,
+      "step": 4210
+    },
+    {
+      "entropy": 5.488169002532959,
+      "epoch": 3.492129246064623,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004125705463203833,
+      "loss": 5.1928,
+      "mean_token_accuracy": 0.18297115415334703,
+      "num_tokens": 7675800.0,
+      "step": 4215
+    },
+    {
+      "entropy": 5.490040969848633,
+      "epoch": 3.4962717481358743,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041231754197576986,
+      "loss": 5.2252,
+      "mean_token_accuracy": 0.1757526621222496,
+      "num_tokens": 7683742.0,
+      "step": 4220
+    },
+    {
+      "entropy": 5.468280076980591,
+      "epoch": 3.5004142502071254,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004120642606466685,
+      "loss": 5.2278,
+      "mean_token_accuracy": 0.1796238511800766,
+      "num_tokens": 7692379.0,
+      "step": 4225
+    },
+    {
+      "entropy": 5.494374942779541,
+      "epoch": 3.504556752278376,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004118107028439751,
+      "loss": 5.2138,
+      "mean_token_accuracy": 0.17588699012994766,
+      "num_tokens": 7702156.0,
+      "step": 4230
+    },
+    {
+      "entropy": 5.467664003372192,
+      "epoch": 3.508699254349627,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00041155686907914365,
+      "loss": 5.2275,
+      "mean_token_accuracy": 0.1754150867462158,
+      "num_tokens": 7712135.0,
+      "step": 4235
+    },
+    {
+      "entropy": 5.451332426071167,
+      "epoch": 3.5128417564208783,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004113027598641845,
+      "loss": 5.1785,
+      "mean_token_accuracy": 0.1752738744020462,
+      "num_tokens": 7721347.0,
+      "step": 4240
+    },
+    {
+      "entropy": 5.471200275421142,
+      "epoch": 3.5169842584921294,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004110483757116637,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.1789921909570694,
+      "num_tokens": 7731351.0,
+      "step": 4245
+    },
+    {
+      "entropy": 5.433224248886108,
+      "epoch": 3.52112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00041079371713470195,
+      "loss": 5.0996,
+      "mean_token_accuracy": 0.18778069019317628,
+      "num_tokens": 7740413.0,
+      "step": 4250
+    },
+    {
+      "entropy": 5.416608476638794,
+      "epoch": 3.525269262634631,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041053878464697343,
+      "loss": 5.1977,
+      "mean_token_accuracy": 0.18009850829839708,
+      "num_tokens": 7749319.0,
+      "step": 4255
+    },
+    {
+      "entropy": 5.519042015075684,
+      "epoch": 3.5294117647058822,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004102835787627047,
+      "loss": 5.2446,
+      "mean_token_accuracy": 0.17312991321086885,
+      "num_tokens": 7757936.0,
+      "step": 4260
+    },
+    {
+      "entropy": 5.542943048477173,
+      "epoch": 3.5335542667771334,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004100280999966741,
+      "loss": 5.3083,
+      "mean_token_accuracy": 0.17331433892250062,
+      "num_tokens": 7767349.0,
+      "step": 4265
+    },
+    {
+      "entropy": 5.4042651653289795,
+      "epoch": 3.5376967688483845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00040977234886421007,
+      "loss": 5.1133,
+      "mean_token_accuracy": 0.17731781899929047,
+      "num_tokens": 7776448.0,
+      "step": 4270
+    },
+    {
+      "entropy": 5.4222177028656,
+      "epoch": 3.5418392709196356,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040951632588119064,
+      "loss": 5.209,
+      "mean_token_accuracy": 0.17401482313871383,
+      "num_tokens": 7785768.0,
+      "step": 4275
+    },
+    {
+      "entropy": 5.600345802307129,
+      "epoch": 3.5459817729908867,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004092600315640422,
+      "loss": 5.2999,
+      "mean_token_accuracy": 0.1715576618909836,
+      "num_tokens": 7794803.0,
+      "step": 4280
+    },
+    {
+      "entropy": 5.411063814163208,
+      "epoch": 3.550124275062138,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004090034664297382,
+      "loss": 5.157,
+      "mean_token_accuracy": 0.17963247746229172,
+      "num_tokens": 7803533.0,
+      "step": 4285
+    },
+    {
+      "entropy": 5.421855831146241,
+      "epoch": 3.5542667771333885,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00040874663099579883,
+      "loss": 5.2246,
+      "mean_token_accuracy": 0.1706953912973404,
+      "num_tokens": 7812854.0,
+      "step": 4290
+    },
+    {
+      "entropy": 5.49954047203064,
+      "epoch": 3.5584092792046396,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040848952578028915,
+      "loss": 5.1628,
+      "mean_token_accuracy": 0.174958436191082,
+      "num_tokens": 7821683.0,
+      "step": 4295
+    },
+    {
+      "entropy": 5.501424264907837,
+      "epoch": 3.5625517812758907,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004082321513018183,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.18335361480712892,
+      "num_tokens": 7830967.0,
+      "step": 4300
+    },
+    {
+      "entropy": 5.48747296333313,
+      "epoch": 3.566694283347142,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00040797450807953897,
+      "loss": 5.2159,
+      "mean_token_accuracy": 0.17444179207086563,
+      "num_tokens": 7841179.0,
+      "step": 4305
+    },
+    {
+      "entropy": 5.489819192886353,
+      "epoch": 3.5708367854183924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004077165966331454,
+      "loss": 5.1587,
+      "mean_token_accuracy": 0.1852751389145851,
+      "num_tokens": 7849841.0,
+      "step": 4310
+    },
+    {
+      "entropy": 5.301797342300415,
+      "epoch": 3.5749792874896436,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004074584174828735,
+      "loss": 5.2184,
+      "mean_token_accuracy": 0.1747626096010208,
+      "num_tokens": 7859390.0,
+      "step": 4315
+    },
+    {
+      "entropy": 5.493851947784424,
+      "epoch": 3.5791217895608947,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040719997114949856,
+      "loss": 5.1913,
+      "mean_token_accuracy": 0.17565421015024185,
+      "num_tokens": 7868848.0,
+      "step": 4320
+    },
+    {
+      "entropy": 5.506833124160766,
+      "epoch": 3.5832642916321458,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040694125815433533,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.18058759868144988,
+      "num_tokens": 7877521.0,
+      "step": 4325
+    },
+    {
+      "entropy": 5.488465976715088,
+      "epoch": 3.587406793703397,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004066822790192359,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.17181889414787294,
+      "num_tokens": 7886355.0,
+      "step": 4330
+    },
+    {
+      "entropy": 5.437413024902344,
+      "epoch": 3.591549295774648,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00040642303426658967,
+      "loss": 5.2518,
+      "mean_token_accuracy": 0.17224401384592056,
+      "num_tokens": 7895028.0,
+      "step": 4335
+    },
+    {
+      "entropy": 5.379445266723633,
+      "epoch": 3.595691797845899,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040616352441932163,
+      "loss": 5.1282,
+      "mean_token_accuracy": 0.17695483118295668,
+      "num_tokens": 7904192.0,
+      "step": 4340
+    },
+    {
+      "entropy": 5.439553546905517,
+      "epoch": 3.59983429991715,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00040590375000089146,
+      "loss": 5.2066,
+      "mean_token_accuracy": 0.17032651007175445,
+      "num_tokens": 7912328.0,
+      "step": 4345
+    },
+    {
+      "entropy": 5.5121315002441404,
+      "epoch": 3.603976801988401,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00040564371153529256,
+      "loss": 5.2517,
+      "mean_token_accuracy": 0.1720314145088196,
+      "num_tokens": 7922594.0,
+      "step": 4350
+    },
+    {
+      "entropy": 5.450373315811158,
+      "epoch": 3.608119304059652,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004053834095470509,
+      "loss": 5.2201,
+      "mean_token_accuracy": 0.16222715824842454,
+      "num_tokens": 7932345.0,
+      "step": 4355
+    },
+    {
+      "entropy": 5.505369853973389,
+      "epoch": 3.612261806130903,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00040512284456122407,
+      "loss": 5.2236,
+      "mean_token_accuracy": 0.17660728394985198,
+      "num_tokens": 7942800.0,
+      "step": 4360
+    },
+    {
+      "entropy": 5.410261583328247,
+      "epoch": 3.616404308202154,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00040486201710340016,
+      "loss": 5.1287,
+      "mean_token_accuracy": 0.1859680861234665,
+      "num_tokens": 7951094.0,
+      "step": 4365
+    },
+    {
+      "entropy": 5.429905796051026,
+      "epoch": 3.6205468102734053,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040460092769969654,
+      "loss": 5.1947,
+      "mean_token_accuracy": 0.17089750617742538,
+      "num_tokens": 7960652.0,
+      "step": 4370
+    },
+    {
+      "entropy": 5.518308162689209,
+      "epoch": 3.624689312344656,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004043395768767592,
+      "loss": 5.2977,
+      "mean_token_accuracy": 0.16983983814716339,
+      "num_tokens": 7969350.0,
+      "step": 4375
+    },
+    {
+      "entropy": 5.475090789794922,
+      "epoch": 3.628831814415907,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004040779651617612,
+      "loss": 5.1831,
+      "mean_token_accuracy": 0.1762356474995613,
+      "num_tokens": 7978969.0,
+      "step": 4380
+    },
+    {
+      "entropy": 5.422111892700196,
+      "epoch": 3.632974316487158,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040381609308240207,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.1777448311448097,
+      "num_tokens": 7988531.0,
+      "step": 4385
+    },
+    {
+      "entropy": 5.423072242736817,
+      "epoch": 3.6371168185584093,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040355396116690634,
+      "loss": 5.1864,
+      "mean_token_accuracy": 0.17186058908700944,
+      "num_tokens": 7996576.0,
+      "step": 4390
+    },
+    {
+      "entropy": 5.435235500335693,
+      "epoch": 3.6412593206296604,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004032915699440227,
+      "loss": 5.2216,
+      "mean_token_accuracy": 0.17088689655065536,
+      "num_tokens": 8006279.0,
+      "step": 4395
+    },
+    {
+      "entropy": 5.496079921722412,
+      "epoch": 3.6454018227009115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000403028919943023,
+      "loss": 5.2049,
+      "mean_token_accuracy": 0.17314011603593826,
+      "num_tokens": 8015476.0,
+      "step": 4400
+    },
+    {
+      "entropy": 5.474205350875854,
+      "epoch": 3.6495443247721626,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004027660116937009,
+      "loss": 5.2326,
+      "mean_token_accuracy": 0.17077937126159667,
+      "num_tokens": 8025450.0,
+      "step": 4405
+    },
+    {
+      "entropy": 5.4402251720428465,
+      "epoch": 3.6536868268434133,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004025028457263712,
+      "loss": 5.2238,
+      "mean_token_accuracy": 0.17810273319482803,
+      "num_tokens": 8034850.0,
+      "step": 4410
+    },
+    {
+      "entropy": 5.3980237483978275,
+      "epoch": 3.6578293289146644,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004022394225718684,
+      "loss": 5.1709,
+      "mean_token_accuracy": 0.17368220686912536,
+      "num_tokens": 8044526.0,
+      "step": 4415
+    },
+    {
+      "entropy": 5.446775197982788,
+      "epoch": 3.6619718309859155,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004019757427615456,
+      "loss": 5.1341,
+      "mean_token_accuracy": 0.17317759096622468,
+      "num_tokens": 8054033.0,
+      "step": 4420
+    },
+    {
+      "entropy": 5.478370094299317,
+      "epoch": 3.6661143330571666,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0004017118068272739,
+      "loss": 5.2298,
+      "mean_token_accuracy": 0.17926038503646852,
+      "num_tokens": 8063535.0,
+      "step": 4425
+    },
+    {
+      "entropy": 5.495908880233765,
+      "epoch": 3.6702568351284177,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040144761530144096,
+      "loss": 5.2181,
+      "mean_token_accuracy": 0.18870080262422562,
+      "num_tokens": 8073079.0,
+      "step": 4430
+    },
+    {
+      "entropy": 5.367459678649903,
+      "epoch": 3.6743993371996684,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00040118316871695,
+      "loss": 5.1505,
+      "mean_token_accuracy": 0.18230827152729034,
+      "num_tokens": 8082925.0,
+      "step": 4435
+    },
+    {
+      "entropy": 5.457099437713623,
+      "epoch": 3.6785418392709195,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040091846760721857,
+      "loss": 5.2466,
+      "mean_token_accuracy": 0.17278454601764678,
+      "num_tokens": 8092038.0,
+      "step": 4440
+    },
+    {
+      "entropy": 5.460009002685547,
+      "epoch": 3.6826843413421706,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040065351250617774,
+      "loss": 5.2137,
+      "mean_token_accuracy": 0.1679331600666046,
+      "num_tokens": 8101581.0,
+      "step": 4445
+    },
+    {
+      "entropy": 5.392482471466065,
+      "epoch": 3.6868268434134217,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00040038830394827107,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.17032679468393325,
+      "num_tokens": 8111392.0,
+      "step": 4450
+    },
+    {
+      "entropy": 5.5369532108306885,
+      "epoch": 3.690969345484673,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000400122842468453,
+      "loss": 5.2742,
+      "mean_token_accuracy": 0.16916199624538422,
+      "num_tokens": 8120941.0,
+      "step": 4455
+    },
+    {
+      "entropy": 5.403111267089844,
+      "epoch": 3.695111847555924,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003998571286021884,
+      "loss": 5.1822,
+      "mean_token_accuracy": 0.1721450611948967,
+      "num_tokens": 8129983.0,
+      "step": 4460
+    },
+    {
+      "entropy": 5.482623481750489,
+      "epoch": 3.699254349627175,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003995911628854512,
+      "loss": 5.3064,
+      "mean_token_accuracy": 0.1740827202796936,
+      "num_tokens": 8139428.0,
+      "step": 4465
+    },
+    {
+      "entropy": 5.509563970565796,
+      "epoch": 3.7033968516984257,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003993249458547234,
+      "loss": 5.2302,
+      "mean_token_accuracy": 0.16980735808610917,
+      "num_tokens": 8148520.0,
+      "step": 4470
+    },
+    {
+      "entropy": 5.3746521949768065,
+      "epoch": 3.707539353769677,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039905847804699363,
+      "loss": 5.0676,
+      "mean_token_accuracy": 0.18766331672668457,
+      "num_tokens": 8156908.0,
+      "step": 4475
+    },
+    {
+      "entropy": 5.446433591842651,
+      "epoch": 3.711681855840928,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00039879175999975677,
+      "loss": 5.2156,
+      "mean_token_accuracy": 0.18001207262277602,
+      "num_tokens": 8165677.0,
+      "step": 4480
+    },
+    {
+      "entropy": 5.386814975738526,
+      "epoch": 3.715824357912179,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00039852479225101217,
+      "loss": 5.1883,
+      "mean_token_accuracy": 0.17356531620025634,
+      "num_tokens": 8174786.0,
+      "step": 4485
+    },
+    {
+      "entropy": 5.454575872421264,
+      "epoch": 3.71996685998343,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00039825757533926305,
+      "loss": 5.2484,
+      "mean_token_accuracy": 0.16340016275644303,
+      "num_tokens": 8184150.0,
+      "step": 4490
+    },
+    {
+      "entropy": 5.4400050163269045,
+      "epoch": 3.724109362054681,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039799010980351494,
+      "loss": 5.1455,
+      "mean_token_accuracy": 0.1879016414284706,
+      "num_tokens": 8192257.0,
+      "step": 4495
+    },
+    {
+      "entropy": 5.452324247360229,
+      "epoch": 3.728251864125932,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00039772239618327535,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.1748780906200409,
+      "num_tokens": 8201041.0,
+      "step": 4500
+    },
+    {
+      "epoch": 3.728251864125932,
+      "eval_entropy": 5.297962182620441,
+      "eval_loss": 5.854063987731934,
+      "eval_mean_token_accuracy": 0.15576711011085428,
+      "eval_num_tokens": 8201041.0,
+      "eval_runtime": 2.7449,
+      "eval_samples_per_second": 1365.057,
+      "eval_steps_per_second": 170.86,
+      "step": 4500
+    },
+    {
+      "entropy": 5.430630874633789,
+      "epoch": 3.732394366197183,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00039745443501855156,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18020173758268357,
+      "num_tokens": 8209881.0,
+      "step": 4505
+    },
+    {
+      "entropy": 5.426507759094238,
+      "epoch": 3.736536868268434,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039718622684985075,
+      "loss": 5.2198,
+      "mean_token_accuracy": 0.1857784554362297,
+      "num_tokens": 8218504.0,
+      "step": 4510
+    },
+    {
+      "entropy": 5.427436780929566,
+      "epoch": 3.7406793703396852,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000396917772218178,
+      "loss": 5.0397,
+      "mean_token_accuracy": 0.19483556151390075,
+      "num_tokens": 8226785.0,
+      "step": 4515
+    },
+    {
+      "entropy": 5.463036251068115,
+      "epoch": 3.7448218724109363,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0003966490716650357,
+      "loss": 5.1879,
+      "mean_token_accuracy": 0.1808652698993683,
+      "num_tokens": 8236092.0,
+      "step": 4520
+    },
+    {
+      "entropy": 5.398115777969361,
+      "epoch": 3.7489643744821874,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039638012573242225,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18426763266324997,
+      "num_tokens": 8245297.0,
+      "step": 4525
+    },
+    {
+      "entropy": 5.498414611816406,
+      "epoch": 3.7531068765534386,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003961109349628309,
+      "loss": 5.2544,
+      "mean_token_accuracy": 0.16994525790214537,
+      "num_tokens": 8254772.0,
+      "step": 4530
+    },
+    {
+      "entropy": 5.488787031173706,
+      "epoch": 3.757249378624689,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000395841499899249,
+      "loss": 5.3168,
+      "mean_token_accuracy": 0.1684611275792122,
+      "num_tokens": 8264310.0,
+      "step": 4535
+    },
+    {
+      "entropy": 5.4844201564788815,
+      "epoch": 3.7613918806959403,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00039557182108515624,
+      "loss": 5.2197,
+      "mean_token_accuracy": 0.1802253693342209,
+      "num_tokens": 8274184.0,
+      "step": 4540
+    },
+    {
+      "entropy": 5.40406289100647,
+      "epoch": 3.7655343827671914,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039530189906452457,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.18066346347332002,
+      "num_tokens": 8283151.0,
+      "step": 4545
+    },
+    {
+      "entropy": 5.490919494628907,
+      "epoch": 3.7696768848384425,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00039503173438181605,
+      "loss": 5.2375,
+      "mean_token_accuracy": 0.16958207488059998,
+      "num_tokens": 8292574.0,
+      "step": 4550
+    },
+    {
+      "entropy": 5.37688570022583,
+      "epoch": 3.773819386909693,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039476132758198236,
+      "loss": 5.1589,
+      "mean_token_accuracy": 0.17906700521707536,
+      "num_tokens": 8301281.0,
+      "step": 4555
+    },
+    {
+      "entropy": 5.404768991470337,
+      "epoch": 3.7779618889809443,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039449067921046353,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.184201979637146,
+      "num_tokens": 8310201.0,
+      "step": 4560
+    },
+    {
+      "entropy": 5.5153802871704105,
+      "epoch": 3.7821043910521954,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00039421978981318703,
+      "loss": 5.243,
+      "mean_token_accuracy": 0.17428653091192245,
+      "num_tokens": 8320369.0,
+      "step": 4565
+    },
+    {
+      "entropy": 5.490174674987793,
+      "epoch": 3.7862468931234465,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00039394865993656625,
+      "loss": 5.2332,
+      "mean_token_accuracy": 0.17829314470291138,
+      "num_tokens": 8329519.0,
+      "step": 4570
+    },
+    {
+      "entropy": 5.4183516025543215,
+      "epoch": 3.7903893951946976,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003936772901274999,
+      "loss": 5.2233,
+      "mean_token_accuracy": 0.16786337196826934,
+      "num_tokens": 8338282.0,
+      "step": 4575
+    },
+    {
+      "entropy": 5.422275066375732,
+      "epoch": 3.7945318972659487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003934056809333705,
+      "loss": 5.2367,
+      "mean_token_accuracy": 0.1760738953948021,
+      "num_tokens": 8346861.0,
+      "step": 4580
+    },
+    {
+      "entropy": 5.493864250183106,
+      "epoch": 3.7986743993372,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039313383290204333,
+      "loss": 5.2689,
+      "mean_token_accuracy": 0.16675272732973098,
+      "num_tokens": 8356078.0,
+      "step": 4585
+    },
+    {
+      "entropy": 5.449766826629639,
+      "epoch": 3.802816901408451,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003928617465818658,
+      "loss": 5.2279,
+      "mean_token_accuracy": 0.16728012412786483,
+      "num_tokens": 8365487.0,
+      "step": 4590
+    },
+    {
+      "entropy": 5.477828598022461,
+      "epoch": 3.8069594034797016,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00039258942252166554,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.17344195693731307,
+      "num_tokens": 8374622.0,
+      "step": 4595
+    },
+    {
+      "entropy": 5.467281007766724,
+      "epoch": 3.8111019055509527,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003923168612707502,
+      "loss": 5.1437,
+      "mean_token_accuracy": 0.1838704138994217,
+      "num_tokens": 8383312.0,
+      "step": 4600
+    },
+    {
+      "entropy": 5.375951862335205,
+      "epoch": 3.815244407622204,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003920440633789053,
+      "loss": 5.1668,
+      "mean_token_accuracy": 0.17426021844148637,
+      "num_tokens": 8391987.0,
+      "step": 4605
+    },
+    {
+      "entropy": 5.411648225784302,
+      "epoch": 3.819386909693455,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039177102939639424,
+      "loss": 5.1782,
+      "mean_token_accuracy": 0.17309755831956863,
+      "num_tokens": 8401263.0,
+      "step": 4610
+    },
+    {
+      "entropy": 5.520602798461914,
+      "epoch": 3.8235294117647056,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003914977598739563,
+      "loss": 5.1998,
+      "mean_token_accuracy": 0.18663258850574493,
+      "num_tokens": 8410110.0,
+      "step": 4615
+    },
+    {
+      "entropy": 5.505752420425415,
+      "epoch": 3.8276719138359567,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003912242553628059,
+      "loss": 5.2827,
+      "mean_token_accuracy": 0.16937017440795898,
+      "num_tokens": 8419321.0,
+      "step": 4620
+    },
+    {
+      "entropy": 5.470319938659668,
+      "epoch": 3.831814415907208,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003909505164146318,
+      "loss": 5.2512,
+      "mean_token_accuracy": 0.17635022550821305,
+      "num_tokens": 8428376.0,
+      "step": 4625
+    },
+    {
+      "entropy": 5.446829080581665,
+      "epoch": 3.835956917978459,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000390676543581595,
+      "loss": 5.1826,
+      "mean_token_accuracy": 0.1743323564529419,
+      "num_tokens": 8437263.0,
+      "step": 4630
+    },
+    {
+      "entropy": 5.361465311050415,
+      "epoch": 3.84009942004971,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003904023374163289,
+      "loss": 5.1943,
+      "mean_token_accuracy": 0.17949013262987137,
+      "num_tokens": 8445889.0,
+      "step": 4635
+    },
+    {
+      "entropy": 5.503735971450806,
+      "epoch": 3.844241922120961,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003901278984719372,
+      "loss": 5.3739,
+      "mean_token_accuracy": 0.16415481567382811,
+      "num_tokens": 8456086.0,
+      "step": 4640
+    },
+    {
+      "entropy": 5.492273569107056,
+      "epoch": 3.8483844241922123,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00038985322730199326,
+      "loss": 5.2018,
+      "mean_token_accuracy": 0.1795567825436592,
+      "num_tokens": 8465150.0,
+      "step": 4645
+    },
+    {
+      "entropy": 5.431647396087646,
+      "epoch": 3.8525269262634634,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003895783244605389,
+      "loss": 5.2783,
+      "mean_token_accuracy": 0.1720671087503433,
+      "num_tokens": 8474172.0,
+      "step": 4650
+    },
+    {
+      "entropy": 5.404905462265015,
+      "epoch": 3.856669428334714,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00038930319050208315,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.18708953112363816,
+      "num_tokens": 8483636.0,
+      "step": 4655
+    },
+    {
+      "entropy": 5.408392810821534,
+      "epoch": 3.860811930405965,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00038902782598160127,
+      "loss": 5.1091,
+      "mean_token_accuracy": 0.1881578117609024,
+      "num_tokens": 8491560.0,
+      "step": 4660
+    },
+    {
+      "entropy": 5.484521150588989,
+      "epoch": 3.8649544324772163,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00038875223145453346,
+      "loss": 5.4046,
+      "mean_token_accuracy": 0.17662398070096968,
+      "num_tokens": 8501685.0,
+      "step": 4665
+    },
+    {
+      "entropy": 5.551066589355469,
+      "epoch": 3.8690969345484674,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003884764074767842,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.17176942974328996,
+      "num_tokens": 8510580.0,
+      "step": 4670
+    },
+    {
+      "entropy": 5.477302551269531,
+      "epoch": 3.873239436619718,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003882003546047205,
+      "loss": 5.2013,
+      "mean_token_accuracy": 0.17522621154785156,
+      "num_tokens": 8519595.0,
+      "step": 4675
+    },
+    {
+      "entropy": 5.506098508834839,
+      "epoch": 3.877381938690969,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00038792407339517123,
+      "loss": 5.2786,
+      "mean_token_accuracy": 0.17400375306606292,
+      "num_tokens": 8529118.0,
+      "step": 4680
+    },
+    {
+      "entropy": 5.507658243179321,
+      "epoch": 3.8815244407622203,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00038764756440542574,
+      "loss": 5.2477,
+      "mean_token_accuracy": 0.17185091674327851,
+      "num_tokens": 8539322.0,
+      "step": 4685
+    },
+    {
+      "entropy": 5.454025650024414,
+      "epoch": 3.8856669428334714,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038737082819323285,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.17740404605865479,
+      "num_tokens": 8548707.0,
+      "step": 4690
+    },
+    {
+      "entropy": 5.427890157699585,
+      "epoch": 3.8898094449047225,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00038709386531679974,
+      "loss": 5.2576,
+      "mean_token_accuracy": 0.1718251511454582,
+      "num_tokens": 8557500.0,
+      "step": 4695
+    },
+    {
+      "entropy": 5.436252593994141,
+      "epoch": 3.8939519469759736,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00038681667633479086,
+      "loss": 5.2621,
+      "mean_token_accuracy": 0.1682343602180481,
+      "num_tokens": 8567465.0,
+      "step": 4700
+    },
+    {
+      "entropy": 5.381856250762939,
+      "epoch": 3.8980944490472247,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038653926180632665,
+      "loss": 5.1165,
+      "mean_token_accuracy": 0.18321423530578612,
+      "num_tokens": 8576680.0,
+      "step": 4705
+    },
+    {
+      "entropy": 5.495894527435302,
+      "epoch": 3.902236951118476,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00038626162229098257,
+      "loss": 5.2631,
+      "mean_token_accuracy": 0.16617788672447203,
+      "num_tokens": 8585539.0,
+      "step": 4710
+    },
+    {
+      "entropy": 5.400326347351074,
+      "epoch": 3.9063794531897265,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003859837583487877,
+      "loss": 5.1007,
+      "mean_token_accuracy": 0.18613590002059938,
+      "num_tokens": 8593598.0,
+      "step": 4715
+    },
+    {
+      "entropy": 5.4148589134216305,
+      "epoch": 3.9105219552609776,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003857056705402241,
+      "loss": 5.236,
+      "mean_token_accuracy": 0.1721765860915184,
+      "num_tokens": 8603440.0,
+      "step": 4720
+    },
+    {
+      "entropy": 5.384281969070434,
+      "epoch": 3.9146644573322287,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003854273594262253,
+      "loss": 5.0591,
+      "mean_token_accuracy": 0.1858549162745476,
+      "num_tokens": 8612490.0,
+      "step": 4725
+    },
+    {
+      "entropy": 5.387153816223145,
+      "epoch": 3.91880695940348,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003851488255681752,
+      "loss": 5.1508,
+      "mean_token_accuracy": 0.17980385273694993,
+      "num_tokens": 8621994.0,
+      "step": 4730
+    },
+    {
+      "entropy": 5.462166833877563,
+      "epoch": 3.922949461474731,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000384870069527907,
+      "loss": 5.2269,
+      "mean_token_accuracy": 0.16994049549102783,
+      "num_tokens": 8631185.0,
+      "step": 4735
+    },
+    {
+      "entropy": 5.445327711105347,
+      "epoch": 3.9270919635459816,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00038459109186770213,
+      "loss": 5.1201,
+      "mean_token_accuracy": 0.18937034606933595,
+      "num_tokens": 8639018.0,
+      "step": 4740
+    },
+    {
+      "entropy": 5.365725660324097,
+      "epoch": 3.9312344656172327,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00038431189315028905,
+      "loss": 5.1293,
+      "mean_token_accuracy": 0.1805494785308838,
+      "num_tokens": 8647672.0,
+      "step": 4745
+    },
+    {
+      "entropy": 5.42286114692688,
+      "epoch": 3.9353769676884838,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003840324739388419,
+      "loss": 5.2659,
+      "mean_token_accuracy": 0.16662627309560776,
+      "num_tokens": 8656638.0,
+      "step": 4750
+    },
+    {
+      "entropy": 5.4803203582763675,
+      "epoch": 3.939519469759735,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00038375283479698,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.18231208473443986,
+      "num_tokens": 8666167.0,
+      "step": 4755
+    },
+    {
+      "entropy": 5.505121231079102,
+      "epoch": 3.943661971830986,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003834729762887659,
+      "loss": 5.3067,
+      "mean_token_accuracy": 0.16447765678167342,
+      "num_tokens": 8676435.0,
+      "step": 4760
+    },
+    {
+      "entropy": 5.413615751266479,
+      "epoch": 3.947804473902237,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003831928989787049,
+      "loss": 5.1808,
+      "mean_token_accuracy": 0.18012969940900803,
+      "num_tokens": 8686011.0,
+      "step": 4765
+    },
+    {
+      "entropy": 5.463970613479614,
+      "epoch": 3.951946975973488,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003829126034317435,
+      "loss": 5.1959,
+      "mean_token_accuracy": 0.17213619947433473,
+      "num_tokens": 8695063.0,
+      "step": 4770
+    },
+    {
+      "entropy": 5.517300796508789,
+      "epoch": 3.956089478044739,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003826320902132684,
+      "loss": 5.299,
+      "mean_token_accuracy": 0.16880902647972107,
+      "num_tokens": 8704585.0,
+      "step": 4775
+    },
+    {
+      "entropy": 5.469470262527466,
+      "epoch": 3.96023198011599,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038235135988910545,
+      "loss": 5.2111,
+      "mean_token_accuracy": 0.17501715570688248,
+      "num_tokens": 8714097.0,
+      "step": 4780
+    },
+    {
+      "entropy": 5.433980226516724,
+      "epoch": 3.964374482187241,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00038207041302551844,
+      "loss": 5.1327,
+      "mean_token_accuracy": 0.1802523225545883,
+      "num_tokens": 8722890.0,
+      "step": 4785
+    },
+    {
+      "entropy": 5.36038613319397,
+      "epoch": 3.968516984258492,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003817892501892078,
+      "loss": 5.1474,
+      "mean_token_accuracy": 0.18226009160280227,
+      "num_tokens": 8732046.0,
+      "step": 4790
+    },
+    {
+      "entropy": 5.385818529129028,
+      "epoch": 3.9726594863297433,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038150787194730977,
+      "loss": 5.1867,
+      "mean_token_accuracy": 0.18098812699317932,
+      "num_tokens": 8741750.0,
+      "step": 4795
+    },
+    {
+      "entropy": 5.49769434928894,
+      "epoch": 3.976801988400994,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000381226278867395,
+      "loss": 5.1585,
+      "mean_token_accuracy": 0.17722393125295638,
+      "num_tokens": 8750141.0,
+      "step": 4800
+    },
+    {
+      "entropy": 5.3994584560394285,
+      "epoch": 3.980944490472245,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00038094447151746746,
+      "loss": 5.0956,
+      "mean_token_accuracy": 0.18723244071006775,
+      "num_tokens": 8758567.0,
+      "step": 4805
+    },
+    {
+      "entropy": 5.376461982727051,
+      "epoch": 3.985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003806624504659635,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1782562255859375,
+      "num_tokens": 8767829.0,
+      "step": 4810
+    },
+    {
+      "entropy": 5.416551733016968,
+      "epoch": 3.9892294946147473,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003803802162817503,
+      "loss": 5.0891,
+      "mean_token_accuracy": 0.18413031548261644,
+      "num_tokens": 8776911.0,
+      "step": 4815
+    },
+    {
+      "entropy": 5.403548002243042,
+      "epoch": 3.9933719966859984,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000380097769534125,
+      "loss": 5.2011,
+      "mean_token_accuracy": 0.18309975266456605,
+      "num_tokens": 8786117.0,
+      "step": 4820
+    },
+    {
+      "entropy": 5.401311016082763,
+      "epoch": 3.9975144987572495,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003798151107928136,
+      "loss": 5.1436,
+      "mean_token_accuracy": 0.18381998240947722,
+      "num_tokens": 8795647.0,
+      "step": 4825
+    },
+    {
+      "entropy": 5.363515567779541,
+      "epoch": 4.001657000828501,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00037953224062796967,
+      "loss": 5.1114,
+      "mean_token_accuracy": 0.18405449539422988,
+      "num_tokens": 8803480.0,
+      "step": 4830
+    },
+    {
+      "entropy": 5.504069137573242,
+      "epoch": 4.005799502899752,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003792491596101733,
+      "loss": 4.9454,
+      "mean_token_accuracy": 0.19255731254816055,
+      "num_tokens": 8812825.0,
+      "step": 4835
+    },
+    {
+      "entropy": 5.45196304321289,
+      "epoch": 4.009942004971003,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003789658683104298,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19097152799367906,
+      "num_tokens": 8821911.0,
+      "step": 4840
+    },
+    {
+      "entropy": 5.429521989822388,
+      "epoch": 4.014084507042254,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037868236730016866,
+      "loss": 4.9518,
+      "mean_token_accuracy": 0.18948255032300948,
+      "num_tokens": 8830691.0,
+      "step": 4845
+    },
+    {
+      "entropy": 5.400455188751221,
+      "epoch": 4.018227009113504,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037839865715124234,
+      "loss": 4.9281,
+      "mean_token_accuracy": 0.19010053426027299,
+      "num_tokens": 8840410.0,
+      "step": 4850
+    },
+    {
+      "entropy": 5.374143838882446,
+      "epoch": 4.022369511184755,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00037811473843592534,
+      "loss": 4.9042,
+      "mean_token_accuracy": 0.19410175532102586,
+      "num_tokens": 8849662.0,
+      "step": 4855
+    },
+    {
+      "entropy": 5.4465690612792965,
+      "epoch": 4.026512013256006,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00037783061172691273,
+      "loss": 4.8985,
+      "mean_token_accuracy": 0.19412659406661986,
+      "num_tokens": 8858666.0,
+      "step": 4860
+    },
+    {
+      "entropy": 5.497456216812134,
+      "epoch": 4.0306545153272575,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003775462775973191,
+      "loss": 4.9611,
+      "mean_token_accuracy": 0.1847592905163765,
+      "num_tokens": 8867885.0,
+      "step": 4865
+    },
+    {
+      "entropy": 5.351856470108032,
+      "epoch": 4.034797017398509,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003772617366206773,
+      "loss": 4.9175,
+      "mean_token_accuracy": 0.19424951672554017,
+      "num_tokens": 8877458.0,
+      "step": 4870
+    },
+    {
+      "entropy": 5.363556432723999,
+      "epoch": 4.03893951946976,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037697698937093783,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.18704084753990174,
+      "num_tokens": 8886995.0,
+      "step": 4875
+    },
+    {
+      "entropy": 5.463095617294312,
+      "epoch": 4.043082021541011,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00037669203642246685,
+      "loss": 5.026,
+      "mean_token_accuracy": 0.18413490056991577,
+      "num_tokens": 8895224.0,
+      "step": 4880
+    },
+    {
+      "entropy": 5.4529016494750975,
+      "epoch": 4.047224523612262,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00037640687835004567,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.1925043895840645,
+      "num_tokens": 8905216.0,
+      "step": 4885
+    },
+    {
+      "entropy": 5.426698875427246,
+      "epoch": 4.051367025683513,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003761215157288692,
+      "loss": 4.9558,
+      "mean_token_accuracy": 0.19299548715353013,
+      "num_tokens": 8915493.0,
+      "step": 4890
+    },
+    {
+      "entropy": 5.362393617630005,
+      "epoch": 4.055509527754764,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00037583594913454514,
+      "loss": 4.925,
+      "mean_token_accuracy": 0.1959809884428978,
+      "num_tokens": 8924740.0,
+      "step": 4895
+    },
+    {
+      "entropy": 5.42564959526062,
+      "epoch": 4.059652029826015,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003755501791430925,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.18527257889509202,
+      "num_tokens": 8934726.0,
+      "step": 4900
+    },
+    {
+      "entropy": 5.448423719406128,
+      "epoch": 4.063794531897266,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00037526420633094044,
+      "loss": 4.9581,
+      "mean_token_accuracy": 0.18748125433921814,
+      "num_tokens": 8944301.0,
+      "step": 4905
+    },
+    {
+      "entropy": 5.449982643127441,
+      "epoch": 4.067937033968517,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037497803127492757,
+      "loss": 4.9881,
+      "mean_token_accuracy": 0.19187170565128325,
+      "num_tokens": 8953967.0,
+      "step": 4910
+    },
+    {
+      "entropy": 5.326543855667114,
+      "epoch": 4.072079536039768,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003746916545523001,
+      "loss": 4.8948,
+      "mean_token_accuracy": 0.19177066087722777,
+      "num_tokens": 8962983.0,
+      "step": 4915
+    },
+    {
+      "entropy": 5.381871175765991,
+      "epoch": 4.076222038111019,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003744050767407113,
+      "loss": 5.0191,
+      "mean_token_accuracy": 0.18154184073209761,
+      "num_tokens": 8972019.0,
+      "step": 4920
+    },
+    {
+      "entropy": 5.40556058883667,
+      "epoch": 4.08036454018227,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0003741182984182198,
+      "loss": 4.901,
+      "mean_token_accuracy": 0.20234887301921844,
+      "num_tokens": 8981751.0,
+      "step": 4925
+    },
+    {
+      "entropy": 5.3616517066955565,
+      "epoch": 4.084507042253521,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003738313201632889,
+      "loss": 4.8923,
+      "mean_token_accuracy": 0.19780989587306977,
+      "num_tokens": 8990330.0,
+      "step": 4930
+    },
+    {
+      "entropy": 5.314311408996582,
+      "epoch": 4.088649544324772,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003735441425547851,
+      "loss": 4.905,
+      "mean_token_accuracy": 0.19072338491678237,
+      "num_tokens": 8998366.0,
+      "step": 4935
+    },
+    {
+      "entropy": 5.290538501739502,
+      "epoch": 4.092792046396023,
+      "grad_norm": 1.828125,
+      "learning_rate": 0.00037325676617197697,
+      "loss": 4.8317,
+      "mean_token_accuracy": 0.20186650305986403,
+      "num_tokens": 9006881.0,
+      "step": 4940
+    },
+    {
+      "entropy": 5.323595571517944,
+      "epoch": 4.096934548467274,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0003729691915945342,
+      "loss": 4.8944,
+      "mean_token_accuracy": 0.19853760153055192,
+      "num_tokens": 9015415.0,
+      "step": 4945
+    },
+    {
+      "entropy": 5.40374059677124,
+      "epoch": 4.1010770505385254,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000372681419402526,
+      "loss": 4.9483,
+      "mean_token_accuracy": 0.19546929001808167,
+      "num_tokens": 9024578.0,
+      "step": 4950
+    },
+    {
+      "entropy": 5.381409311294556,
+      "epoch": 4.105219552609777,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003723934501764203,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.1867024227976799,
+      "num_tokens": 9032637.0,
+      "step": 4955
+    },
+    {
+      "entropy": 5.395318984985352,
+      "epoch": 4.109362054681028,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0003721052844970826,
+      "loss": 4.8913,
+      "mean_token_accuracy": 0.18718749284744263,
+      "num_tokens": 9041513.0,
+      "step": 4960
+    },
+    {
+      "entropy": 5.394489192962647,
+      "epoch": 4.113504556752279,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00037181692294577457,
+      "loss": 4.9155,
+      "mean_token_accuracy": 0.1854037255048752,
+      "num_tokens": 9051024.0,
+      "step": 4965
+    },
+    {
+      "entropy": 5.33848295211792,
+      "epoch": 4.117647058823529,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037152836610415284,
+      "loss": 4.8895,
+      "mean_token_accuracy": 0.19274405539035797,
+      "num_tokens": 9059494.0,
+      "step": 4970
+    },
+    {
+      "entropy": 5.31979193687439,
+      "epoch": 4.12178956089478,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00037123961455426836,
+      "loss": 4.7988,
+      "mean_token_accuracy": 0.19865831583738328,
+      "num_tokens": 9068166.0,
+      "step": 4975
+    },
+    {
+      "entropy": 5.391095542907715,
+      "epoch": 4.125932062966031,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00037095066887856434,
+      "loss": 4.907,
+      "mean_token_accuracy": 0.19333944320678711,
+      "num_tokens": 9077283.0,
+      "step": 4980
+    },
+    {
+      "entropy": 5.3755443572998045,
+      "epoch": 4.130074565037282,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003706615296598758,
+      "loss": 4.9332,
+      "mean_token_accuracy": 0.19493403136730195,
+      "num_tokens": 9086605.0,
+      "step": 4985
+    },
+    {
+      "entropy": 5.301020622253418,
+      "epoch": 4.134217067108533,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003703721974814282,
+      "loss": 4.9169,
+      "mean_token_accuracy": 0.19399153292179108,
+      "num_tokens": 9095567.0,
+      "step": 4990
+    },
+    {
+      "entropy": 5.282594537734985,
+      "epoch": 4.1383595691797845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00037008267292683615,
+      "loss": 4.9012,
+      "mean_token_accuracy": 0.19265301078557967,
+      "num_tokens": 9104457.0,
+      "step": 4995
+    },
+    {
+      "entropy": 5.398877716064453,
+      "epoch": 4.142502071251036,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036979295658010227,
+      "loss": 4.9533,
+      "mean_token_accuracy": 0.20162091553211212,
+      "num_tokens": 9113945.0,
+      "step": 5000
+    },
+    {
+      "epoch": 4.142502071251036,
+      "eval_entropy": 5.273210916946184,
+      "eval_loss": 5.83656120300293,
+      "eval_mean_token_accuracy": 0.15772452866281272,
+      "eval_num_tokens": 9113945.0,
+      "eval_runtime": 2.9415,
+      "eval_samples_per_second": 1273.844,
+      "eval_steps_per_second": 159.443,
+      "step": 5000
+    },
+    {
+      "entropy": 5.424594402313232,
+      "epoch": 4.146644573322287,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003695030490256161,
+      "loss": 5.0303,
+      "mean_token_accuracy": 0.18944208920001984,
+      "num_tokens": 9122996.0,
+      "step": 5005
+    },
+    {
+      "entropy": 5.355675983428955,
+      "epoch": 4.150787075393538,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000369212950848153,
+      "loss": 4.8793,
+      "mean_token_accuracy": 0.1962927296757698,
+      "num_tokens": 9132079.0,
+      "step": 5010
+    },
+    {
+      "entropy": 5.384340238571167,
+      "epoch": 4.154929577464789,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003689226626328725,
+      "loss": 5.0058,
+      "mean_token_accuracy": 0.19004727751016617,
+      "num_tokens": 9141335.0,
+      "step": 5015
+    },
+    {
+      "entropy": 5.442283582687378,
+      "epoch": 4.15907207953604,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00036863218496531767,
+      "loss": 5.0264,
+      "mean_token_accuracy": 0.18990386426448821,
+      "num_tokens": 9150049.0,
+      "step": 5020
+    },
+    {
+      "entropy": 5.409811115264892,
+      "epoch": 4.163214581607291,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003683415184314139,
+      "loss": 4.9057,
+      "mean_token_accuracy": 0.19072521328926087,
+      "num_tokens": 9159245.0,
+      "step": 5025
+    },
+    {
+      "entropy": 5.281745195388794,
+      "epoch": 4.167357083678542,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00036805066361746716,
+      "loss": 4.9432,
+      "mean_token_accuracy": 0.19057238101959229,
+      "num_tokens": 9167892.0,
+      "step": 5030
+    },
+    {
+      "entropy": 5.262811374664307,
+      "epoch": 4.1714995857497925,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036775962111016346,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.19675376862287522,
+      "num_tokens": 9176067.0,
+      "step": 5035
+    },
+    {
+      "entropy": 5.335107898712158,
+      "epoch": 4.175642087821044,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036746839149656734,
+      "loss": 4.9032,
+      "mean_token_accuracy": 0.19636716991662978,
+      "num_tokens": 9185318.0,
+      "step": 5040
+    },
+    {
+      "entropy": 5.338614749908447,
+      "epoch": 4.179784589892295,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003671769753641207,
+      "loss": 4.9605,
+      "mean_token_accuracy": 0.19530149400234223,
+      "num_tokens": 9194885.0,
+      "step": 5045
+    },
+    {
+      "entropy": 5.349650192260742,
+      "epoch": 4.183927091963546,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00036688537330064187,
+      "loss": 4.987,
+      "mean_token_accuracy": 0.19436514377593994,
+      "num_tokens": 9203906.0,
+      "step": 5050
+    },
+    {
+      "entropy": 5.318757629394531,
+      "epoch": 4.188069594034797,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000366593585894324,
+      "loss": 4.8507,
+      "mean_token_accuracy": 0.2013680413365364,
+      "num_tokens": 9213351.0,
+      "step": 5055
+    },
+    {
+      "entropy": 5.347932624816894,
+      "epoch": 4.192212096106048,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003663016137337341,
+      "loss": 4.9278,
+      "mean_token_accuracy": 0.18784158080816268,
+      "num_tokens": 9222191.0,
+      "step": 5060
+    },
+    {
+      "entropy": 5.372864198684693,
+      "epoch": 4.196354598177299,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00036600945740781197,
+      "loss": 4.9668,
+      "mean_token_accuracy": 0.1919815331697464,
+      "num_tokens": 9231517.0,
+      "step": 5065
+    },
+    {
+      "entropy": 5.393643712997436,
+      "epoch": 4.20049710024855,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036571711750586896,
+      "loss": 4.9891,
+      "mean_token_accuracy": 0.19960682690143586,
+      "num_tokens": 9241208.0,
+      "step": 5070
+    },
+    {
+      "entropy": 5.391959381103516,
+      "epoch": 4.204639602319801,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003654245946175864,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19324131309986115,
+      "num_tokens": 9250237.0,
+      "step": 5075
+    },
+    {
+      "entropy": 5.37893590927124,
+      "epoch": 4.2087821043910525,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00036513188933301504,
+      "loss": 5.0399,
+      "mean_token_accuracy": 0.18783097416162492,
+      "num_tokens": 9260273.0,
+      "step": 5080
+    },
+    {
+      "entropy": 5.378773164749146,
+      "epoch": 4.212924606462304,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003648390022425734,
+      "loss": 4.8996,
+      "mean_token_accuracy": 0.19140231609344482,
+      "num_tokens": 9268878.0,
+      "step": 5085
+    },
+    {
+      "entropy": 5.325588417053223,
+      "epoch": 4.217067108533554,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003645459339370468,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19706592857837676,
+      "num_tokens": 9276324.0,
+      "step": 5090
+    },
+    {
+      "entropy": 5.312953901290894,
+      "epoch": 4.221209610604805,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036425268500758594,
+      "loss": 4.9725,
+      "mean_token_accuracy": 0.1936806783080101,
+      "num_tokens": 9285052.0,
+      "step": 5095
+    },
+    {
+      "entropy": 5.354986000061035,
+      "epoch": 4.225352112676056,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036395925604570614,
+      "loss": 4.8763,
+      "mean_token_accuracy": 0.20042537599802018,
+      "num_tokens": 9293324.0,
+      "step": 5100
+    },
+    {
+      "entropy": 5.3900477409362795,
+      "epoch": 4.229494614747307,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003636656476432854,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19263672083616257,
+      "num_tokens": 9302131.0,
+      "step": 5105
+    },
+    {
+      "entropy": 5.263408470153808,
+      "epoch": 4.233637116818558,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003633718603925642,
+      "loss": 4.862,
+      "mean_token_accuracy": 0.19388986378908157,
+      "num_tokens": 9311128.0,
+      "step": 5110
+    },
+    {
+      "entropy": 5.420498418807983,
+      "epoch": 4.237779618889809,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0003630778948861434,
+      "loss": 4.9352,
+      "mean_token_accuracy": 0.1895424723625183,
+      "num_tokens": 9319849.0,
+      "step": 5115
+    },
+    {
+      "entropy": 5.336805248260498,
+      "epoch": 4.2419221209610605,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003627837517169836,
+      "loss": 4.9458,
+      "mean_token_accuracy": 0.18560263216495515,
+      "num_tokens": 9328355.0,
+      "step": 5120
+    },
+    {
+      "entropy": 5.352609777450562,
+      "epoch": 4.246064623032312,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003624894314784037,
+      "loss": 4.9236,
+      "mean_token_accuracy": 0.18928787410259246,
+      "num_tokens": 9337562.0,
+      "step": 5125
+    },
+    {
+      "entropy": 5.323793935775757,
+      "epoch": 4.250207125103563,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003621949347640797,
+      "loss": 4.9315,
+      "mean_token_accuracy": 0.196185165643692,
+      "num_tokens": 9347851.0,
+      "step": 5130
+    },
+    {
+      "entropy": 5.398552274703979,
+      "epoch": 4.254349627174814,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003619002621680439,
+      "loss": 4.9325,
+      "mean_token_accuracy": 0.19673411697149276,
+      "num_tokens": 9356524.0,
+      "step": 5135
+    },
+    {
+      "entropy": 5.4241108894348145,
+      "epoch": 4.258492129246065,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003616054142846829,
+      "loss": 5.0307,
+      "mean_token_accuracy": 0.1882170706987381,
+      "num_tokens": 9365521.0,
+      "step": 5140
+    },
+    {
+      "entropy": 5.301144218444824,
+      "epoch": 4.262634631317316,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003613103917087371,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19470559656620026,
+      "num_tokens": 9374088.0,
+      "step": 5145
+    },
+    {
+      "entropy": 5.345515966415405,
+      "epoch": 4.266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003610151950352994,
+      "loss": 4.9794,
+      "mean_token_accuracy": 0.19499585926532745,
+      "num_tokens": 9382683.0,
+      "step": 5150
+    },
+    {
+      "entropy": 5.306409788131714,
+      "epoch": 4.270919635459817,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0003607198248598137,
+      "loss": 4.9063,
+      "mean_token_accuracy": 0.194849793612957,
+      "num_tokens": 9391790.0,
+      "step": 5155
+    },
+    {
+      "entropy": 5.414876556396484,
+      "epoch": 4.2750621375310685,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003604242817780739,
+      "loss": 4.9901,
+      "mean_token_accuracy": 0.19321189671754838,
+      "num_tokens": 9400234.0,
+      "step": 5160
+    },
+    {
+      "entropy": 5.350374364852906,
+      "epoch": 4.27920463960232,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036012856638622273,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19192621409893035,
+      "num_tokens": 9409513.0,
+      "step": 5165
+    },
+    {
+      "entropy": 5.292260932922363,
+      "epoch": 4.283347141673571,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003598326792807504,
+      "loss": 4.9821,
+      "mean_token_accuracy": 0.18258902430534363,
+      "num_tokens": 9418608.0,
+      "step": 5170
+    },
+    {
+      "entropy": 5.427756977081299,
+      "epoch": 4.287489643744822,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00035953662105849357,
+      "loss": 5.0092,
+      "mean_token_accuracy": 0.19452760964632035,
+      "num_tokens": 9428705.0,
+      "step": 5175
+    },
+    {
+      "entropy": 5.3185462474823,
+      "epoch": 4.291632145816073,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000359240392316634,
+      "loss": 4.9177,
+      "mean_token_accuracy": 0.18542011678218842,
+      "num_tokens": 9438149.0,
+      "step": 5180
+    },
+    {
+      "entropy": 5.330511379241943,
+      "epoch": 4.295774647887324,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003589439936526974,
+      "loss": 4.8709,
+      "mean_token_accuracy": 0.19628295600414275,
+      "num_tokens": 9447566.0,
+      "step": 5185
+    },
+    {
+      "entropy": 5.303903436660766,
+      "epoch": 4.299917149958575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003586474256645525,
+      "loss": 4.9641,
+      "mean_token_accuracy": 0.1915314257144928,
+      "num_tokens": 9458156.0,
+      "step": 5190
+    },
+    {
+      "entropy": 5.410308837890625,
+      "epoch": 4.304059652029826,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035835068895040905,
+      "loss": 5.0014,
+      "mean_token_accuracy": 0.19137390553951264,
+      "num_tokens": 9467388.0,
+      "step": 5195
+    },
+    {
+      "entropy": 5.388073253631592,
+      "epoch": 4.308202154101077,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00035805378410881753,
+      "loss": 4.9642,
+      "mean_token_accuracy": 0.1940509021282196,
+      "num_tokens": 9477515.0,
+      "step": 5200
+    },
+    {
+      "entropy": 5.389194107055664,
+      "epoch": 4.312344656172328,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003577567117386675,
+      "loss": 4.9854,
+      "mean_token_accuracy": 0.1937498316168785,
+      "num_tokens": 9485851.0,
+      "step": 5205
+    },
+    {
+      "entropy": 5.377271747589111,
+      "epoch": 4.3164871582435795,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003574594724391863,
+      "loss": 4.9773,
+      "mean_token_accuracy": 0.18631901144981383,
+      "num_tokens": 9495523.0,
+      "step": 5210
+    },
+    {
+      "entropy": 5.303675985336303,
+      "epoch": 4.32062966031483,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003571620668099382,
+      "loss": 4.9104,
+      "mean_token_accuracy": 0.19740363359451293,
+      "num_tokens": 9504195.0,
+      "step": 5215
+    },
+    {
+      "entropy": 5.377063655853272,
+      "epoch": 4.324772162386081,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003568644954508227,
+      "loss": 4.9616,
+      "mean_token_accuracy": 0.1940310388803482,
+      "num_tokens": 9513313.0,
+      "step": 5220
+    },
+    {
+      "entropy": 5.400073862075805,
+      "epoch": 4.328914664457332,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003565667589620739,
+      "loss": 5.0313,
+      "mean_token_accuracy": 0.18615816980600358,
+      "num_tokens": 9522387.0,
+      "step": 5225
+    },
+    {
+      "entropy": 5.380652332305909,
+      "epoch": 4.333057166528583,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003562688579442588,
+      "loss": 4.9582,
+      "mean_token_accuracy": 0.1893748164176941,
+      "num_tokens": 9531522.0,
+      "step": 5230
+    },
+    {
+      "entropy": 5.349949216842651,
+      "epoch": 4.337199668599834,
+      "grad_norm": 1.6171875,
+      "learning_rate": 0.00035597079299827625,
+      "loss": 4.9875,
+      "mean_token_accuracy": 0.18508986830711366,
+      "num_tokens": 9540248.0,
+      "step": 5235
+    },
+    {
+      "entropy": 5.3083008289337155,
+      "epoch": 4.341342170671085,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035567256472535585,
+      "loss": 4.9192,
+      "mean_token_accuracy": 0.19538334757089615,
+      "num_tokens": 9549850.0,
+      "step": 5240
+    },
+    {
+      "entropy": 5.325525283813477,
+      "epoch": 4.345484672742336,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003553741737270566,
+      "loss": 4.9167,
+      "mean_token_accuracy": 0.19581695050001144,
+      "num_tokens": 9558929.0,
+      "step": 5245
+    },
+    {
+      "entropy": 5.291470670700074,
+      "epoch": 4.3496271748135875,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00035507562060526574,
+      "loss": 4.9163,
+      "mean_token_accuracy": 0.19085376411676408,
+      "num_tokens": 9567627.0,
+      "step": 5250
+    },
+    {
+      "entropy": 5.419774055480957,
+      "epoch": 4.353769676884839,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035477690596219763,
+      "loss": 5.0513,
+      "mean_token_accuracy": 0.18172826021909713,
+      "num_tokens": 9576223.0,
+      "step": 5255
+    },
+    {
+      "entropy": 5.422041416168213,
+      "epoch": 4.35791217895609,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00035447803040039225,
+      "loss": 5.0178,
+      "mean_token_accuracy": 0.1885324940085411,
+      "num_tokens": 9585510.0,
+      "step": 5260
+    },
+    {
+      "entropy": 5.344962453842163,
+      "epoch": 4.362054681027341,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003541789945227143,
+      "loss": 4.9361,
+      "mean_token_accuracy": 0.1920488640666008,
+      "num_tokens": 9594843.0,
+      "step": 5265
+    },
+    {
+      "entropy": 5.401527786254883,
+      "epoch": 4.366197183098592,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00035387979893235184,
+      "loss": 4.9467,
+      "mean_token_accuracy": 0.19816664457321168,
+      "num_tokens": 9604142.0,
+      "step": 5270
+    },
+    {
+      "entropy": 5.339557313919068,
+      "epoch": 4.370339685169842,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003535804442328151,
+      "loss": 4.994,
+      "mean_token_accuracy": 0.197935588657856,
+      "num_tokens": 9613669.0,
+      "step": 5275
+    },
+    {
+      "entropy": 5.395236444473267,
+      "epoch": 4.374482187241093,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00035328093102793506,
+      "loss": 4.9843,
+      "mean_token_accuracy": 0.19234263002872468,
+      "num_tokens": 9623502.0,
+      "step": 5280
+    },
+    {
+      "entropy": 5.377492380142212,
+      "epoch": 4.378624689312344,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035298125992186283,
+      "loss": 4.9784,
+      "mean_token_accuracy": 0.1910512089729309,
+      "num_tokens": 9632041.0,
+      "step": 5285
+    },
+    {
+      "entropy": 5.310422706604004,
+      "epoch": 4.3827671913835955,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00035268143151906764,
+      "loss": 4.9853,
+      "mean_token_accuracy": 0.18939480930566788,
+      "num_tokens": 9641442.0,
+      "step": 5290
+    },
+    {
+      "entropy": 5.356794643402099,
+      "epoch": 4.386909693454847,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00035238144642433616,
+      "loss": 4.956,
+      "mean_token_accuracy": 0.19045386761426925,
+      "num_tokens": 9650857.0,
+      "step": 5295
+    },
+    {
+      "entropy": 5.461606073379516,
+      "epoch": 4.391052195526098,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000352081305242771,
+      "loss": 4.9906,
+      "mean_token_accuracy": 0.1938766911625862,
+      "num_tokens": 9659173.0,
+      "step": 5300
+    },
+    {
+      "entropy": 5.355851411819458,
+      "epoch": 4.395194697597349,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035178100857978994,
+      "loss": 4.9344,
+      "mean_token_accuracy": 0.19574909955263137,
+      "num_tokens": 9668114.0,
+      "step": 5305
+    },
+    {
+      "entropy": 5.261717939376831,
+      "epoch": 4.3993371996686,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00035148055704112405,
+      "loss": 4.9927,
+      "mean_token_accuracy": 0.1930756837129593,
+      "num_tokens": 9676628.0,
+      "step": 5310
+    },
+    {
+      "entropy": 5.305881071090698,
+      "epoch": 4.403479701739851,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003511799512328168,
+      "loss": 4.8897,
+      "mean_token_accuracy": 0.19723279178142547,
+      "num_tokens": 9685801.0,
+      "step": 5315
+    },
+    {
+      "entropy": 5.3678816795349125,
+      "epoch": 4.407622203811102,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003508791917612232,
+      "loss": 4.9677,
+      "mean_token_accuracy": 0.18847441226243972,
+      "num_tokens": 9694237.0,
+      "step": 5320
+    },
+    {
+      "entropy": 5.357159948348999,
+      "epoch": 4.411764705882353,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00035057827923300785,
+      "loss": 4.887,
+      "mean_token_accuracy": 0.1993523895740509,
+      "num_tokens": 9701904.0,
+      "step": 5325
+    },
+    {
+      "entropy": 5.308569765090942,
+      "epoch": 4.415907207953604,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035027721425514414,
+      "loss": 4.8661,
+      "mean_token_accuracy": 0.20139306634664536,
+      "num_tokens": 9710784.0,
+      "step": 5330
+    },
+    {
+      "entropy": 5.310255718231201,
+      "epoch": 4.4200497100248555,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003499759974349131,
+      "loss": 4.9969,
+      "mean_token_accuracy": 0.19186950027942656,
+      "num_tokens": 9720452.0,
+      "step": 5335
+    },
+    {
+      "entropy": 5.335639381408692,
+      "epoch": 4.424192212096106,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00034967462937990194,
+      "loss": 4.9619,
+      "mean_token_accuracy": 0.18502581119537354,
+      "num_tokens": 9729122.0,
+      "step": 5340
+    },
+    {
+      "entropy": 5.414971780776978,
+      "epoch": 4.428334714167357,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000349373110698003,
+      "loss": 5.0216,
+      "mean_token_accuracy": 0.18420466929674148,
+      "num_tokens": 9738756.0,
+      "step": 5345
+    },
+    {
+      "entropy": 5.406450796127319,
+      "epoch": 4.432477216238608,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003490714419974124,
+      "loss": 5.0113,
+      "mean_token_accuracy": 0.1904602199792862,
+      "num_tokens": 9748547.0,
+      "step": 5350
+    },
+    {
+      "entropy": 5.358873558044434,
+      "epoch": 4.436619718309859,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034876962388662885,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.18162461519241332,
+      "num_tokens": 9758421.0,
+      "step": 5355
+    },
+    {
+      "entropy": 5.277571201324463,
+      "epoch": 4.44076222038111,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003484676569744525,
+      "loss": 4.8563,
+      "mean_token_accuracy": 0.19333565086126328,
+      "num_tokens": 9766855.0,
+      "step": 5360
+    },
+    {
+      "entropy": 5.348770189285278,
+      "epoch": 4.444904722452361,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003481655418699836,
+      "loss": 4.9589,
+      "mean_token_accuracy": 0.1960444375872612,
+      "num_tokens": 9776157.0,
+      "step": 5365
+    },
+    {
+      "entropy": 5.279411029815674,
+      "epoch": 4.449047224523612,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00034786327918262126,
+      "loss": 4.8489,
+      "mean_token_accuracy": 0.2087496116757393,
+      "num_tokens": 9784386.0,
+      "step": 5370
+    },
+    {
+      "entropy": 5.354473733901978,
+      "epoch": 4.4531897265948635,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00034756086952206255,
+      "loss": 4.9009,
+      "mean_token_accuracy": 0.1958460658788681,
+      "num_tokens": 9793838.0,
+      "step": 5375
+    },
+    {
+      "entropy": 5.353402185440063,
+      "epoch": 4.457332228666115,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003472583134983005,
+      "loss": 4.9971,
+      "mean_token_accuracy": 0.19221619367599488,
+      "num_tokens": 9802595.0,
+      "step": 5380
+    },
+    {
+      "entropy": 5.384884357452393,
+      "epoch": 4.461474730737366,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00034695561172162396,
+      "loss": 4.9775,
+      "mean_token_accuracy": 0.19024742841720582,
+      "num_tokens": 9811309.0,
+      "step": 5385
+    },
+    {
+      "entropy": 5.2829090595245365,
+      "epoch": 4.465617232808617,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00034665276480261526,
+      "loss": 4.9139,
+      "mean_token_accuracy": 0.1915873184800148,
+      "num_tokens": 9820327.0,
+      "step": 5390
+    },
+    {
+      "entropy": 5.351649951934815,
+      "epoch": 4.469759734879867,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003463497733521499,
+      "loss": 4.9852,
+      "mean_token_accuracy": 0.18354866653680801,
+      "num_tokens": 9829588.0,
+      "step": 5395
+    },
+    {
+      "entropy": 5.42580213546753,
+      "epoch": 4.473902236951118,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003460466379813947,
+      "loss": 4.9887,
+      "mean_token_accuracy": 0.18973219394683838,
+      "num_tokens": 9838548.0,
+      "step": 5400
+    },
+    {
+      "entropy": 5.335280847549439,
+      "epoch": 4.478044739022369,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003457433593018068,
+      "loss": 5.0018,
+      "mean_token_accuracy": 0.18838239908218385,
+      "num_tokens": 9847925.0,
+      "step": 5405
+    },
+    {
+      "entropy": 5.396121597290039,
+      "epoch": 4.48218724109362,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034543993792513243,
+      "loss": 5.0169,
+      "mean_token_accuracy": 0.18753209412097932,
+      "num_tokens": 9856839.0,
+      "step": 5410
+    },
+    {
+      "entropy": 5.37349534034729,
+      "epoch": 4.486329743164871,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003451363744634057,
+      "loss": 4.978,
+      "mean_token_accuracy": 0.19382779747247697,
+      "num_tokens": 9866519.0,
+      "step": 5415
+    },
+    {
+      "entropy": 5.430073976516724,
+      "epoch": 4.4904722452361225,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00034483266952894725,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.19110478311777115,
+      "num_tokens": 9876866.0,
+      "step": 5420
+    },
+    {
+      "entropy": 5.440963220596314,
+      "epoch": 4.494614747307374,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0003445288237343632,
+      "loss": 5.0042,
+      "mean_token_accuracy": 0.1870105817914009,
+      "num_tokens": 9884639.0,
+      "step": 5425
+    },
+    {
+      "entropy": 5.332541465759277,
+      "epoch": 4.498757249378625,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003442248376925436,
+      "loss": 4.9715,
+      "mean_token_accuracy": 0.1879585549235344,
+      "num_tokens": 9893819.0,
+      "step": 5430
+    },
+    {
+      "entropy": 5.251445341110229,
+      "epoch": 4.502899751449876,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00034392071201666167,
+      "loss": 4.9164,
+      "mean_token_accuracy": 0.19130610078573226,
+      "num_tokens": 9902419.0,
+      "step": 5435
+    },
+    {
+      "entropy": 5.390727472305298,
+      "epoch": 4.507042253521127,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000343616447320172,
+      "loss": 4.9565,
+      "mean_token_accuracy": 0.19780462980270386,
+      "num_tokens": 9912434.0,
+      "step": 5440
+    },
+    {
+      "entropy": 5.366470289230347,
+      "epoch": 4.511184755592378,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003433120442168097,
+      "loss": 4.9114,
+      "mean_token_accuracy": 0.193550705909729,
+      "num_tokens": 9921800.0,
+      "step": 5445
+    },
+    {
+      "entropy": 5.316132354736328,
+      "epoch": 4.515327257663629,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034300750332058924,
+      "loss": 4.9803,
+      "mean_token_accuracy": 0.18861733824014665,
+      "num_tokens": 9930863.0,
+      "step": 5450
+    },
+    {
+      "entropy": 5.340768337249756,
+      "epoch": 4.51946975973488,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003427028252458028,
+      "loss": 4.995,
+      "mean_token_accuracy": 0.1959969326853752,
+      "num_tokens": 9940524.0,
+      "step": 5455
+    },
+    {
+      "entropy": 5.398335361480713,
+      "epoch": 4.5236122618061305,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.0003423980106070194,
+      "loss": 4.98,
+      "mean_token_accuracy": 0.18993111699819565,
+      "num_tokens": 9948949.0,
+      "step": 5460
+    },
+    {
+      "entropy": 5.363409519195557,
+      "epoch": 4.527754763877382,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003420930600190834,
+      "loss": 5.0007,
+      "mean_token_accuracy": 0.18487946093082427,
+      "num_tokens": 9958154.0,
+      "step": 5465
+    },
+    {
+      "entropy": 5.353360748291015,
+      "epoch": 4.531897265948633,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003417879740971135,
+      "loss": 4.8917,
+      "mean_token_accuracy": 0.19643958359956742,
+      "num_tokens": 9967023.0,
+      "step": 5470
+    },
+    {
+      "entropy": 5.392623519897461,
+      "epoch": 4.536039768019884,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003414827534565014,
+      "loss": 4.9908,
+      "mean_token_accuracy": 0.18982938379049302,
+      "num_tokens": 9976596.0,
+      "step": 5475
+    },
+    {
+      "entropy": 5.358148193359375,
+      "epoch": 4.540182270091135,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00034117739871291036,
+      "loss": 4.8992,
+      "mean_token_accuracy": 0.19934887886047364,
+      "num_tokens": 9985330.0,
+      "step": 5480
+    },
+    {
+      "entropy": 5.35659613609314,
+      "epoch": 4.544324772162386,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00034087191048227445,
+      "loss": 5.032,
+      "mean_token_accuracy": 0.1861831620335579,
+      "num_tokens": 9996053.0,
+      "step": 5485
+    },
+    {
+      "entropy": 5.335864496231079,
+      "epoch": 4.548467274233637,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003405662893807967,
+      "loss": 4.9445,
+      "mean_token_accuracy": 0.1877502605319023,
+      "num_tokens": 10005517.0,
+      "step": 5490
+    },
+    {
+      "entropy": 5.389253044128418,
+      "epoch": 4.552609776304888,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003402605360249482,
+      "loss": 5.0416,
+      "mean_token_accuracy": 0.18830080330371857,
+      "num_tokens": 10014354.0,
+      "step": 5495
+    },
+    {
+      "entropy": 5.3128773212432865,
+      "epoch": 4.556752278376139,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000339954651031467,
+      "loss": 4.9238,
+      "mean_token_accuracy": 0.19178629368543626,
+      "num_tokens": 10023194.0,
+      "step": 5500
+    },
+    {
+      "epoch": 4.556752278376139,
+      "eval_entropy": 5.195640559898003,
+      "eval_loss": 5.80400276184082,
+      "eval_mean_token_accuracy": 0.15982486544323882,
+      "eval_num_tokens": 10023194.0,
+      "eval_runtime": 2.7416,
+      "eval_samples_per_second": 1366.696,
+      "eval_steps_per_second": 171.065,
+      "step": 5500
+    },
+    {
+      "entropy": 5.267048501968384,
+      "epoch": 4.5608947804473905,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00033964863501735647,
+      "loss": 4.9188,
+      "mean_token_accuracy": 0.19228280782699586,
+      "num_tokens": 10032490.0,
+      "step": 5505
+    },
+    {
+      "entropy": 5.392655229568481,
+      "epoch": 4.565037282518642,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00033934248859988453,
+      "loss": 4.9346,
+      "mean_token_accuracy": 0.19580908715724946,
+      "num_tokens": 10041613.0,
+      "step": 5510
+    },
+    {
+      "entropy": 5.262086534500122,
+      "epoch": 4.569179784589892,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003390362123965817,
+      "loss": 4.8733,
+      "mean_token_accuracy": 0.1911102056503296,
+      "num_tokens": 10050500.0,
+      "step": 5515
+    },
+    {
+      "entropy": 5.36342945098877,
+      "epoch": 4.573322286661144,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003387298070252407,
+      "loss": 4.9492,
+      "mean_token_accuracy": 0.1935834139585495,
+      "num_tokens": 10059650.0,
+      "step": 5520
+    },
+    {
+      "entropy": 5.337366104125977,
+      "epoch": 4.577464788732394,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003384232731039146,
+      "loss": 4.9844,
+      "mean_token_accuracy": 0.19709572941064835,
+      "num_tokens": 10067882.0,
+      "step": 5525
+    },
+    {
+      "entropy": 5.300627326965332,
+      "epoch": 4.581607290803645,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00033811661125091584,
+      "loss": 4.9253,
+      "mean_token_accuracy": 0.19670316576957703,
+      "num_tokens": 10077147.0,
+      "step": 5530
+    },
+    {
+      "entropy": 5.369974613189697,
+      "epoch": 4.585749792874896,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00033780982208481494,
+      "loss": 4.9829,
+      "mean_token_accuracy": 0.1897311642765999,
+      "num_tokens": 10086149.0,
+      "step": 5535
+    },
+    {
+      "entropy": 5.303711175918579,
+      "epoch": 4.589892294946147,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003375029062244392,
+      "loss": 4.9027,
+      "mean_token_accuracy": 0.20062701553106307,
+      "num_tokens": 10094997.0,
+      "step": 5540
+    },
+    {
+      "entropy": 5.461194086074829,
+      "epoch": 4.5940347970173985,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00033719586428887125,
+      "loss": 4.9635,
+      "mean_token_accuracy": 0.19236611425876618,
+      "num_tokens": 10103585.0,
+      "step": 5545
+    },
+    {
+      "entropy": 5.276572418212891,
+      "epoch": 4.59817729908865,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00033688869689744836,
+      "loss": 4.8715,
+      "mean_token_accuracy": 0.1956779330968857,
+      "num_tokens": 10113877.0,
+      "step": 5550
+    },
+    {
+      "entropy": 5.333914184570313,
+      "epoch": 4.602319801159901,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003365814046697608,
+      "loss": 4.9676,
+      "mean_token_accuracy": 0.1832288920879364,
+      "num_tokens": 10123127.0,
+      "step": 5555
+    },
+    {
+      "entropy": 5.39079098701477,
+      "epoch": 4.606462303231152,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003362739882256504,
+      "loss": 5.0347,
+      "mean_token_accuracy": 0.186669659614563,
+      "num_tokens": 10132301.0,
+      "step": 5560
+    },
+    {
+      "entropy": 5.369095230102539,
+      "epoch": 4.610604805302403,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0003359664481852099,
+      "loss": 5.0411,
+      "mean_token_accuracy": 0.18307175636291503,
+      "num_tokens": 10140985.0,
+      "step": 5565
+    },
+    {
+      "entropy": 5.309534072875977,
+      "epoch": 4.614747307373654,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00033565878516878103,
+      "loss": 4.9435,
+      "mean_token_accuracy": 0.186006298661232,
+      "num_tokens": 10149668.0,
+      "step": 5570
+    },
+    {
+      "entropy": 5.324404716491699,
+      "epoch": 4.618889809444905,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0003353509997969537,
+      "loss": 4.9982,
+      "mean_token_accuracy": 0.1883559986948967,
+      "num_tokens": 10158584.0,
+      "step": 5575
+    },
+    {
+      "entropy": 5.366722822189331,
+      "epoch": 4.623032311516155,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00033504309269056484,
+      "loss": 4.968,
+      "mean_token_accuracy": 0.19045166224241256,
+      "num_tokens": 10167657.0,
+      "step": 5580
+    },
+    {
+      "entropy": 5.274179601669312,
+      "epoch": 4.6271748135874065,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003347350644706965,
+      "loss": 4.8462,
+      "mean_token_accuracy": 0.1975993499159813,
+      "num_tokens": 10176657.0,
+      "step": 5585
+    },
+    {
+      "entropy": 5.3866353034973145,
+      "epoch": 4.631317315658658,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003344269157586754,
+      "loss": 4.9669,
+      "mean_token_accuracy": 0.19621438384056092,
+      "num_tokens": 10185132.0,
+      "step": 5590
+    },
+    {
+      "entropy": 5.304204607009888,
+      "epoch": 4.635459817729909,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00033411864717607114,
+      "loss": 4.8497,
+      "mean_token_accuracy": 0.19386404007673264,
+      "num_tokens": 10193428.0,
+      "step": 5595
+    },
+    {
+      "entropy": 5.324200677871704,
+      "epoch": 4.63960231980116,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0003338102593446951,
+      "loss": 5.0163,
+      "mean_token_accuracy": 0.18838184028863908,
+      "num_tokens": 10202549.0,
+      "step": 5600
+    },
+    {
+      "entropy": 5.341615533828735,
+      "epoch": 4.643744821872411,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00033350175288659925,
+      "loss": 4.8885,
+      "mean_token_accuracy": 0.1946927636861801,
+      "num_tokens": 10211161.0,
+      "step": 5605
+    },
+    {
+      "entropy": 5.309947538375854,
+      "epoch": 4.647887323943662,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00033319312842407483,
+      "loss": 4.9923,
+      "mean_token_accuracy": 0.18832400739192962,
+      "num_tokens": 10220988.0,
+      "step": 5610
+    },
+    {
+      "entropy": 5.2807288646698,
+      "epoch": 4.652029826014913,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003328843865796511,
+      "loss": 4.8873,
+      "mean_token_accuracy": 0.19748056083917617,
+      "num_tokens": 10229383.0,
+      "step": 5615
+    },
+    {
+      "entropy": 5.421126461029052,
+      "epoch": 4.656172328086164,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033257552797609426,
+      "loss": 4.9686,
+      "mean_token_accuracy": 0.18525946289300918,
+      "num_tokens": 10238622.0,
+      "step": 5620
+    },
+    {
+      "entropy": 5.506065034866333,
+      "epoch": 4.660314830157415,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00033226655323640553,
+      "loss": 5.0677,
+      "mean_token_accuracy": 0.18611674308776854,
+      "num_tokens": 10248201.0,
+      "step": 5625
+    },
+    {
+      "entropy": 5.445924186706543,
+      "epoch": 4.664457332228666,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000331957462983821,
+      "loss": 5.0837,
+      "mean_token_accuracy": 0.17612475752830506,
+      "num_tokens": 10258239.0,
+      "step": 5630
+    },
+    {
+      "entropy": 5.377671623229981,
+      "epoch": 4.668599834299917,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0003316482578418094,
+      "loss": 4.9675,
+      "mean_token_accuracy": 0.1935265153646469,
+      "num_tokens": 10266915.0,
+      "step": 5635
+    },
+    {
+      "entropy": 5.348722076416015,
+      "epoch": 4.672742336371169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00033133893843407126,
+      "loss": 5.0783,
+      "mean_token_accuracy": 0.18859633952379226,
+      "num_tokens": 10276826.0,
+      "step": 5640
+    },
+    {
+      "entropy": 5.327623510360718,
+      "epoch": 4.676884838442419,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00033102950538453776,
+      "loss": 4.9912,
+      "mean_token_accuracy": 0.19163501411676406,
+      "num_tokens": 10286041.0,
+      "step": 5645
+    },
+    {
+      "entropy": 5.367205619812012,
+      "epoch": 4.68102734051367,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00033071995931736897,
+      "loss": 5.0151,
+      "mean_token_accuracy": 0.19023409783840178,
+      "num_tokens": 10295258.0,
+      "step": 5650
+    },
+    {
+      "entropy": 5.404719638824463,
+      "epoch": 4.685169842584921,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00033041030085695323,
+      "loss": 4.9423,
+      "mean_token_accuracy": 0.19237637221813203,
+      "num_tokens": 10304726.0,
+      "step": 5655
+    },
+    {
+      "entropy": 5.34141435623169,
+      "epoch": 4.689312344656172,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003301005306279055,
+      "loss": 4.8745,
+      "mean_token_accuracy": 0.2018929526209831,
+      "num_tokens": 10312912.0,
+      "step": 5660
+    },
+    {
+      "entropy": 5.300086307525635,
+      "epoch": 4.693454846727423,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00032979064925506627,
+      "loss": 4.9743,
+      "mean_token_accuracy": 0.18896473944187164,
+      "num_tokens": 10322046.0,
+      "step": 5665
+    },
+    {
+      "entropy": 5.290521335601807,
+      "epoch": 4.697597348798674,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003294806573634999,
+      "loss": 4.9263,
+      "mean_token_accuracy": 0.206088125705719,
+      "num_tokens": 10331375.0,
+      "step": 5670
+    },
+    {
+      "entropy": 5.353716802597046,
+      "epoch": 4.7017398508699255,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003291705555784942,
+      "loss": 5.0624,
+      "mean_token_accuracy": 0.18850265592336654,
+      "num_tokens": 10341465.0,
+      "step": 5675
+    },
+    {
+      "entropy": 5.466339874267578,
+      "epoch": 4.705882352941177,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00032886034452555814,
+      "loss": 5.052,
+      "mean_token_accuracy": 0.18991907685995102,
+      "num_tokens": 10350137.0,
+      "step": 5680
+    },
+    {
+      "entropy": 5.3118266582489015,
+      "epoch": 4.710024855012428,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003285500248304214,
+      "loss": 4.9502,
+      "mean_token_accuracy": 0.1877942368388176,
+      "num_tokens": 10358666.0,
+      "step": 5685
+    },
+    {
+      "entropy": 5.319189500808716,
+      "epoch": 4.714167357083679,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003282395971190328,
+      "loss": 4.8375,
+      "mean_token_accuracy": 0.19829211980104447,
+      "num_tokens": 10366910.0,
+      "step": 5690
+    },
+    {
+      "entropy": 5.377291250228882,
+      "epoch": 4.71830985915493,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032792906201755876,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19080002307891847,
+      "num_tokens": 10376435.0,
+      "step": 5695
+    },
+    {
+      "entropy": 5.293179368972778,
+      "epoch": 4.72245236122618,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00032761842015238256,
+      "loss": 4.8965,
+      "mean_token_accuracy": 0.2024861231446266,
+      "num_tokens": 10384670.0,
+      "step": 5700
+    },
+    {
+      "entropy": 5.261117172241211,
+      "epoch": 4.726594863297431,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003273076721501029,
+      "loss": 4.8845,
+      "mean_token_accuracy": 0.1939824104309082,
+      "num_tokens": 10393731.0,
+      "step": 5705
+    },
+    {
+      "entropy": 5.386179351806641,
+      "epoch": 4.730737365368682,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003269968186375325,
+      "loss": 4.9916,
+      "mean_token_accuracy": 0.19829274713993073,
+      "num_tokens": 10402369.0,
+      "step": 5710
+    },
+    {
+      "entropy": 5.379951667785645,
+      "epoch": 4.7348798674399335,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003266858602416967,
+      "loss": 4.9801,
+      "mean_token_accuracy": 0.1936841771006584,
+      "num_tokens": 10411566.0,
+      "step": 5715
+    },
+    {
+      "entropy": 5.384341192245484,
+      "epoch": 4.739022369511185,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032637479758983255,
+      "loss": 5.0294,
+      "mean_token_accuracy": 0.18491634279489516,
+      "num_tokens": 10420086.0,
+      "step": 5720
+    },
+    {
+      "entropy": 5.409085655212403,
+      "epoch": 4.743164871582436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00032606363130938766,
+      "loss": 5.0704,
+      "mean_token_accuracy": 0.18897949457168578,
+      "num_tokens": 10429746.0,
+      "step": 5725
+    },
+    {
+      "entropy": 5.349277639389038,
+      "epoch": 4.747307373653687,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0003257523620280181,
+      "loss": 4.9498,
+      "mean_token_accuracy": 0.19129680693149567,
+      "num_tokens": 10438536.0,
+      "step": 5730
+    },
+    {
+      "entropy": 5.348873805999756,
+      "epoch": 4.751449875724938,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00032544099037358834,
+      "loss": 4.9497,
+      "mean_token_accuracy": 0.19692206382751465,
+      "num_tokens": 10447471.0,
+      "step": 5735
+    },
+    {
+      "entropy": 5.33362455368042,
+      "epoch": 4.755592377796189,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003251295169741688,
+      "loss": 4.962,
+      "mean_token_accuracy": 0.1995266228914261,
+      "num_tokens": 10457179.0,
+      "step": 5740
+    },
+    {
+      "entropy": 5.327010250091552,
+      "epoch": 4.75973487986744,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00032481794245803536,
+      "loss": 5.0295,
+      "mean_token_accuracy": 0.18461760133504868,
+      "num_tokens": 10466291.0,
+      "step": 5745
+    },
+    {
+      "entropy": 5.323912620544434,
+      "epoch": 4.763877381938691,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00032450626745366806,
+      "loss": 4.9102,
+      "mean_token_accuracy": 0.19402227252721788,
+      "num_tokens": 10475452.0,
+      "step": 5750
+    },
+    {
+      "entropy": 5.306818199157715,
+      "epoch": 4.768019884009942,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00032419449258974924,
+      "loss": 4.8753,
+      "mean_token_accuracy": 0.20045212656259537,
+      "num_tokens": 10484381.0,
+      "step": 5755
+    },
+    {
+      "entropy": 5.342190933227539,
+      "epoch": 4.7721623860811935,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000323882618495163,
+      "loss": 5.0665,
+      "mean_token_accuracy": 0.1831491023302078,
+      "num_tokens": 10495132.0,
+      "step": 5760
+    },
+    {
+      "entropy": 5.351349258422852,
+      "epoch": 4.776304888152444,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003235706457989934,
+      "loss": 5.0246,
+      "mean_token_accuracy": 0.1850237250328064,
+      "num_tokens": 10504519.0,
+      "step": 5765
+    },
+    {
+      "entropy": 5.387107896804809,
+      "epoch": 4.780447390223695,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032325857513052354,
+      "loss": 4.9654,
+      "mean_token_accuracy": 0.19212980419397355,
+      "num_tokens": 10513575.0,
+      "step": 5770
+    },
+    {
+      "entropy": 5.396086692810059,
+      "epoch": 4.784589892294946,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000322946407119234,
+      "loss": 5.0554,
+      "mean_token_accuracy": 0.18998173326253892,
+      "num_tokens": 10522148.0,
+      "step": 5775
+    },
+    {
+      "entropy": 5.361077404022216,
+      "epoch": 4.788732394366197,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032263414239480187,
+      "loss": 4.9891,
+      "mean_token_accuracy": 0.18589809089899062,
+      "num_tokens": 10531183.0,
+      "step": 5780
+    },
+    {
+      "entropy": 5.342947483062744,
+      "epoch": 4.792874896437448,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.000322321781587099,
+      "loss": 4.9298,
+      "mean_token_accuracy": 0.19391343146562576,
+      "num_tokens": 10540677.0,
+      "step": 5785
+    },
+    {
+      "entropy": 5.276329088211059,
+      "epoch": 4.797017398508699,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003220093253261915,
+      "loss": 4.9342,
+      "mean_token_accuracy": 0.18589555770158767,
+      "num_tokens": 10550009.0,
+      "step": 5790
+    },
+    {
+      "entropy": 5.315787076950073,
+      "epoch": 4.80115990057995,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003216967742423377,
+      "loss": 4.9621,
+      "mean_token_accuracy": 0.19312297254800798,
+      "num_tokens": 10559694.0,
+      "step": 5795
+    },
+    {
+      "entropy": 5.339448022842407,
+      "epoch": 4.8053024026512015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003213841289659872,
+      "loss": 4.9613,
+      "mean_token_accuracy": 0.20080769211053848,
+      "num_tokens": 10567965.0,
+      "step": 5800
+    },
+    {
+      "entropy": 5.312955284118653,
+      "epoch": 4.809444904722453,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003210713901277799,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.19690640568733214,
+      "num_tokens": 10577653.0,
+      "step": 5805
+    },
+    {
+      "entropy": 5.359428977966308,
+      "epoch": 4.813587406793704,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000320758558358544,
+      "loss": 4.9728,
+      "mean_token_accuracy": 0.18951950818300248,
+      "num_tokens": 10586903.0,
+      "step": 5810
+    },
+    {
+      "entropy": 5.302858638763428,
+      "epoch": 4.817729908864955,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003204456342892955,
+      "loss": 4.8829,
+      "mean_token_accuracy": 0.19500194638967513,
+      "num_tokens": 10595411.0,
+      "step": 5815
+    },
+    {
+      "entropy": 5.321697616577149,
+      "epoch": 4.821872410936205,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00032013261855123637,
+      "loss": 4.9475,
+      "mean_token_accuracy": 0.1907385230064392,
+      "num_tokens": 10604147.0,
+      "step": 5820
+    },
+    {
+      "entropy": 5.368891286849975,
+      "epoch": 4.826014913007457,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00031981951177575366,
+      "loss": 5.0445,
+      "mean_token_accuracy": 0.1850367307662964,
+      "num_tokens": 10614048.0,
+      "step": 5825
+    },
+    {
+      "entropy": 5.374803781509399,
+      "epoch": 4.830157415078707,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003195063145944178,
+      "loss": 5.0779,
+      "mean_token_accuracy": 0.18388603180646895,
+      "num_tokens": 10623399.0,
+      "step": 5830
+    },
+    {
+      "entropy": 5.389354228973389,
+      "epoch": 4.834299917149958,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003191930276389819,
+      "loss": 4.9183,
+      "mean_token_accuracy": 0.19506800919771194,
+      "num_tokens": 10632627.0,
+      "step": 5835
+    },
+    {
+      "entropy": 5.401239061355591,
+      "epoch": 4.838442419221209,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00031887965154137987,
+      "loss": 4.9726,
+      "mean_token_accuracy": 0.1816769301891327,
+      "num_tokens": 10641155.0,
+      "step": 5840
+    },
+    {
+      "entropy": 5.354168939590454,
+      "epoch": 4.8425849212924605,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003185661869337255,
+      "loss": 5.0118,
+      "mean_token_accuracy": 0.18452974855899812,
+      "num_tokens": 10649661.0,
+      "step": 5845
+    },
+    {
+      "entropy": 5.265790605545044,
+      "epoch": 4.846727423363712,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00031825263444831137,
+      "loss": 4.9151,
+      "mean_token_accuracy": 0.19235364347696304,
+      "num_tokens": 10658652.0,
+      "step": 5850
+    },
+    {
+      "entropy": 5.3790277481079105,
+      "epoch": 4.850869925434963,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003179389947176069,
+      "loss": 5.0445,
+      "mean_token_accuracy": 0.1886226385831833,
+      "num_tokens": 10668703.0,
+      "step": 5855
+    },
+    {
+      "entropy": 5.385872554779053,
+      "epoch": 4.855012427506214,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003176252683742578,
+      "loss": 4.9484,
+      "mean_token_accuracy": 0.19056980460882186,
+      "num_tokens": 10677740.0,
+      "step": 5860
+    },
+    {
+      "entropy": 5.347926044464112,
+      "epoch": 4.859154929577465,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003173114560510843,
+      "loss": 4.9447,
+      "mean_token_accuracy": 0.18929830342531204,
+      "num_tokens": 10686429.0,
+      "step": 5865
+    },
+    {
+      "entropy": 5.332098054885864,
+      "epoch": 4.863297431648716,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00031699755838108027,
+      "loss": 5.0442,
+      "mean_token_accuracy": 0.1941297546029091,
+      "num_tokens": 10696367.0,
+      "step": 5870
+    },
+    {
+      "entropy": 5.310936546325683,
+      "epoch": 4.867439933719967,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003166835759974115,
+      "loss": 4.9902,
+      "mean_token_accuracy": 0.1873769447207451,
+      "num_tokens": 10705712.0,
+      "step": 5875
+    },
+    {
+      "entropy": 5.371630382537842,
+      "epoch": 4.871582435791218,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031636950953341486,
+      "loss": 5.0345,
+      "mean_token_accuracy": 0.18638068735599517,
+      "num_tokens": 10715897.0,
+      "step": 5880
+    },
+    {
+      "entropy": 5.3334348678588865,
+      "epoch": 4.8757249378624685,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00031605535962259666,
+      "loss": 4.9268,
+      "mean_token_accuracy": 0.1887778237462044,
+      "num_tokens": 10724810.0,
+      "step": 5885
+    },
+    {
+      "entropy": 5.353308916091919,
+      "epoch": 4.87986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003157411268986316,
+      "loss": 4.9771,
+      "mean_token_accuracy": 0.1932398796081543,
+      "num_tokens": 10734661.0,
+      "step": 5890
+    },
+    {
+      "entropy": 5.287876415252685,
+      "epoch": 4.884009942004971,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003154268119953615,
+      "loss": 4.9586,
+      "mean_token_accuracy": 0.19356854259967804,
+      "num_tokens": 10743642.0,
+      "step": 5895
+    },
+    {
+      "entropy": 5.344345998764038,
+      "epoch": 4.888152444076222,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003151124155467938,
+      "loss": 4.9607,
+      "mean_token_accuracy": 0.19625648856163025,
+      "num_tokens": 10752812.0,
+      "step": 5900
+    },
+    {
+      "entropy": 5.3407337188720705,
+      "epoch": 4.892294946147473,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00031479793818710056,
+      "loss": 4.9983,
+      "mean_token_accuracy": 0.18306475579738618,
+      "num_tokens": 10762117.0,
+      "step": 5905
+    },
+    {
+      "entropy": 5.299752902984619,
+      "epoch": 4.896437448218724,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031448338055061685,
+      "loss": 4.9018,
+      "mean_token_accuracy": 0.19901909530162812,
+      "num_tokens": 10771515.0,
+      "step": 5910
+    },
+    {
+      "entropy": 5.309285831451416,
+      "epoch": 4.900579950289975,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00031416874327183994,
+      "loss": 4.9486,
+      "mean_token_accuracy": 0.19302618503570557,
+      "num_tokens": 10780610.0,
+      "step": 5915
+    },
+    {
+      "entropy": 5.22410569190979,
+      "epoch": 4.904722452361226,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031385402698542753,
+      "loss": 4.9151,
+      "mean_token_accuracy": 0.19276074767112733,
+      "num_tokens": 10789169.0,
+      "step": 5920
+    },
+    {
+      "entropy": 5.30161485671997,
+      "epoch": 4.908864954432477,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031353923232619674,
+      "loss": 4.9078,
+      "mean_token_accuracy": 0.19779694378376006,
+      "num_tokens": 10798636.0,
+      "step": 5925
+    },
+    {
+      "entropy": 5.3571271896362305,
+      "epoch": 4.9130074565037285,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003132243599291229,
+      "loss": 4.9753,
+      "mean_token_accuracy": 0.19644105434417725,
+      "num_tokens": 10808245.0,
+      "step": 5930
+    },
+    {
+      "entropy": 5.384200191497802,
+      "epoch": 4.91714995857498,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00031290941042933797,
+      "loss": 4.9679,
+      "mean_token_accuracy": 0.18787674605846405,
+      "num_tokens": 10817164.0,
+      "step": 5935
+    },
+    {
+      "entropy": 5.287544202804566,
+      "epoch": 4.92129246064623,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031259438446212953,
+      "loss": 5.0007,
+      "mean_token_accuracy": 0.18373542726039888,
+      "num_tokens": 10826098.0,
+      "step": 5940
+    },
+    {
+      "entropy": 5.33493857383728,
+      "epoch": 4.925434962717482,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00031227928266293933,
+      "loss": 5.0115,
+      "mean_token_accuracy": 0.18100205808877945,
+      "num_tokens": 10836427.0,
+      "step": 5945
+    },
+    {
+      "entropy": 5.345344829559326,
+      "epoch": 4.929577464788732,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00031196410566736215,
+      "loss": 4.9689,
+      "mean_token_accuracy": 0.19277302771806717,
+      "num_tokens": 10845804.0,
+      "step": 5950
+    },
+    {
+      "entropy": 5.3519449710845945,
+      "epoch": 4.933719966859983,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00031164885411114453,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.1908810630440712,
+      "num_tokens": 10855951.0,
+      "step": 5955
+    },
+    {
+      "entropy": 5.301464605331421,
+      "epoch": 4.937862468931234,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031133352863018315,
+      "loss": 5.079,
+      "mean_token_accuracy": 0.18923453092575074,
+      "num_tokens": 10865528.0,
+      "step": 5960
+    },
+    {
+      "entropy": 5.369193601608276,
+      "epoch": 4.942004971002485,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00031101812986052406,
+      "loss": 4.9936,
+      "mean_token_accuracy": 0.19839225262403487,
+      "num_tokens": 10874365.0,
+      "step": 5965
+    },
+    {
+      "entropy": 5.310976552963257,
+      "epoch": 4.9461474730737365,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00031070265843836107,
+      "loss": 4.9184,
+      "mean_token_accuracy": 0.1972976267337799,
+      "num_tokens": 10883034.0,
+      "step": 5970
+    },
+    {
+      "entropy": 5.323369884490967,
+      "epoch": 4.950289975144988,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003103871150000345,
+      "loss": 4.9768,
+      "mean_token_accuracy": 0.1961338758468628,
+      "num_tokens": 10892307.0,
+      "step": 5975
+    },
+    {
+      "entropy": 5.354686069488525,
+      "epoch": 4.954432477216239,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00031007150018202983,
+      "loss": 5.057,
+      "mean_token_accuracy": 0.18536237627267838,
+      "num_tokens": 10902074.0,
+      "step": 5980
+    },
+    {
+      "entropy": 5.372721862792969,
+      "epoch": 4.95857497928749,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00030975581462097673,
+      "loss": 4.8961,
+      "mean_token_accuracy": 0.19350670725107194,
+      "num_tokens": 10911205.0,
+      "step": 5985
+    },
+    {
+      "entropy": 5.278085422515869,
+      "epoch": 4.962717481358741,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00030944005895364754,
+      "loss": 4.9233,
+      "mean_token_accuracy": 0.19045489132404328,
+      "num_tokens": 10920371.0,
+      "step": 5990
+    },
+    {
+      "entropy": 5.219862222671509,
+      "epoch": 4.966859983429992,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00030912423381695584,
+      "loss": 4.9124,
+      "mean_token_accuracy": 0.20015972554683686,
+      "num_tokens": 10928741.0,
+      "step": 5995
+    },
+    {
+      "entropy": 5.3216063499450685,
+      "epoch": 4.971002485501243,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00030880833984795554,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.20140086114406586,
+      "num_tokens": 10938074.0,
+      "step": 6000
+    },
+    {
+      "epoch": 4.971002485501243,
+      "eval_entropy": 5.223882782942196,
+      "eval_loss": 5.772702217102051,
+      "eval_mean_token_accuracy": 0.16291698060437307,
+      "eval_num_tokens": 10938074.0,
+      "eval_runtime": 2.7438,
+      "eval_samples_per_second": 1365.624,
+      "eval_steps_per_second": 170.931,
+      "step": 6000
+    },
+    {
+      "entropy": 5.304221105575562,
+      "epoch": 4.975144987572493,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0003084923776838392,
+      "loss": 4.9428,
+      "mean_token_accuracy": 0.1906152918934822,
+      "num_tokens": 10946756.0,
+      "step": 6005
+    },
+    {
+      "entropy": 5.28564419746399,
+      "epoch": 4.9792874896437445,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00030817634796193705,
+      "loss": 4.9192,
+      "mean_token_accuracy": 0.19711493700742722,
+      "num_tokens": 10956313.0,
+      "step": 6010
+    },
+    {
+      "entropy": 5.420253419876099,
+      "epoch": 4.983429991714996,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00030786025131971555,
+      "loss": 4.9823,
+      "mean_token_accuracy": 0.19457563310861586,
+      "num_tokens": 10964333.0,
+      "step": 6015
+    },
+    {
+      "entropy": 5.329161500930786,
+      "epoch": 4.987572493786247,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003075440883947764,
+      "loss": 4.8999,
+      "mean_token_accuracy": 0.19664130955934525,
+      "num_tokens": 10974110.0,
+      "step": 6020
+    },
+    {
+      "entropy": 5.248602771759034,
+      "epoch": 4.991714995857498,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003072278598248544,
+      "loss": 4.9529,
+      "mean_token_accuracy": 0.19656815081834794,
+      "num_tokens": 10983186.0,
+      "step": 6025
+    },
+    {
+      "entropy": 5.307998704910278,
+      "epoch": 4.995857497928749,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00030691156624781734,
+      "loss": 4.9377,
+      "mean_token_accuracy": 0.19932860583066941,
+      "num_tokens": 10992244.0,
+      "step": 6030
+    },
+    {
+      "entropy": 5.353039836883545,
+      "epoch": 5.0,
+      "grad_norm": 1.8515625,
+      "learning_rate": 0.000306595208301664,
+      "loss": 4.927,
+      "mean_token_accuracy": 0.20540354549884796,
+      "num_tokens": 11000005.0,
+      "step": 6035
+    },
+    {
+      "entropy": 5.336960649490356,
+      "epoch": 5.004142502071251,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00030627878662452273,
+      "loss": 4.7717,
+      "mean_token_accuracy": 0.20522954761981965,
+      "num_tokens": 11009346.0,
+      "step": 6040
+    },
+    {
+      "entropy": 5.356115531921387,
+      "epoch": 5.008285004142502,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003059623018546508,
+      "loss": 4.7197,
+      "mean_token_accuracy": 0.2092713624238968,
+      "num_tokens": 11017844.0,
+      "step": 6045
+    },
+    {
+      "entropy": 5.362998294830322,
+      "epoch": 5.012427506213753,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003056457546304326,
+      "loss": 4.7531,
+      "mean_token_accuracy": 0.21363187432289124,
+      "num_tokens": 11026840.0,
+      "step": 6050
+    },
+    {
+      "entropy": 5.250718975067139,
+      "epoch": 5.016570008285004,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003053291455903782,
+      "loss": 4.7186,
+      "mean_token_accuracy": 0.2076275572180748,
+      "num_tokens": 11034906.0,
+      "step": 6055
+    },
+    {
+      "entropy": 5.263190746307373,
+      "epoch": 5.0207125103562555,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00030501247537312293,
+      "loss": 4.7802,
+      "mean_token_accuracy": 0.20651286244392394,
+      "num_tokens": 11044403.0,
+      "step": 6060
+    },
+    {
+      "entropy": 5.360515308380127,
+      "epoch": 5.024855012427507,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0003046957446174251,
+      "loss": 4.7387,
+      "mean_token_accuracy": 0.21264788061380385,
+      "num_tokens": 11052685.0,
+      "step": 6065
+    },
+    {
+      "entropy": 5.316996622085571,
+      "epoch": 5.028997514498757,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00030437895396216524,
+      "loss": 4.591,
+      "mean_token_accuracy": 0.21709324419498444,
+      "num_tokens": 11060830.0,
+      "step": 6070
+    },
+    {
+      "entropy": 5.315813970565796,
+      "epoch": 5.033140016570008,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.00030406210404634475,
+      "loss": 4.7708,
+      "mean_token_accuracy": 0.20373892933130264,
+      "num_tokens": 11070220.0,
+      "step": 6075
+    },
+    {
+      "entropy": 5.294347095489502,
+      "epoch": 5.037282518641259,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003037451955090846,
+      "loss": 4.6847,
+      "mean_token_accuracy": 0.20420003384351731,
+      "num_tokens": 11079171.0,
+      "step": 6080
+    },
+    {
+      "entropy": 5.297221279144287,
+      "epoch": 5.04142502071251,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00030342822898962377,
+      "loss": 4.7697,
+      "mean_token_accuracy": 0.20524269640445708,
+      "num_tokens": 11089205.0,
+      "step": 6085
+    },
+    {
+      "entropy": 5.273457336425781,
+      "epoch": 5.045567522783761,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003031112051273185,
+      "loss": 4.7429,
+      "mean_token_accuracy": 0.21156702935695648,
+      "num_tokens": 11098339.0,
+      "step": 6090
+    },
+    {
+      "entropy": 5.299424123764038,
+      "epoch": 5.049710024855012,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003027941245616405,
+      "loss": 4.6524,
+      "mean_token_accuracy": 0.21203886568546296,
+      "num_tokens": 11107218.0,
+      "step": 6095
+    },
+    {
+      "entropy": 5.3286974906921385,
+      "epoch": 5.0538525269262635,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003024769879321761,
+      "loss": 4.7702,
+      "mean_token_accuracy": 0.2051073744893074,
+      "num_tokens": 11116457.0,
+      "step": 6100
+    },
+    {
+      "entropy": 5.300696182250976,
+      "epoch": 5.057995028997515,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0003021597958786243,
+      "loss": 4.7449,
+      "mean_token_accuracy": 0.20762935131788254,
+      "num_tokens": 11124834.0,
+      "step": 6105
+    },
+    {
+      "entropy": 5.288244676589966,
+      "epoch": 5.062137531068766,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003018425490407962,
+      "loss": 4.76,
+      "mean_token_accuracy": 0.20868725776672364,
+      "num_tokens": 11133920.0,
+      "step": 6110
+    },
+    {
+      "entropy": 5.387529897689819,
+      "epoch": 5.066280033140017,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00030152524805861344,
+      "loss": 4.7597,
+      "mean_token_accuracy": 0.20800695270299913,
+      "num_tokens": 11143573.0,
+      "step": 6115
+    },
+    {
+      "entropy": 5.3629701137542725,
+      "epoch": 5.070422535211268,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00030120789357210667,
+      "loss": 4.8139,
+      "mean_token_accuracy": 0.20669919848442078,
+      "num_tokens": 11154255.0,
+      "step": 6120
+    },
+    {
+      "entropy": 5.300123262405395,
+      "epoch": 5.074565037282519,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00030089048622141453,
+      "loss": 4.7241,
+      "mean_token_accuracy": 0.2095050945878029,
+      "num_tokens": 11163306.0,
+      "step": 6125
+    },
+    {
+      "entropy": 5.368470001220703,
+      "epoch": 5.078707539353769,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00030057302664678243,
+      "loss": 4.7569,
+      "mean_token_accuracy": 0.20853464156389237,
+      "num_tokens": 11172763.0,
+      "step": 6130
+    },
+    {
+      "entropy": 5.33392744064331,
+      "epoch": 5.08285004142502,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00030025551548856105,
+      "loss": 4.7413,
+      "mean_token_accuracy": 0.20951523035764694,
+      "num_tokens": 11182196.0,
+      "step": 6135
+    },
+    {
+      "entropy": 5.287980794906616,
+      "epoch": 5.0869925434962715,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002999379533872051,
+      "loss": 4.7905,
+      "mean_token_accuracy": 0.19804110527038574,
+      "num_tokens": 11192462.0,
+      "step": 6140
+    },
+    {
+      "entropy": 5.281665325164795,
+      "epoch": 5.091135045567523,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002996203409832719,
+      "loss": 4.7519,
+      "mean_token_accuracy": 0.2107569918036461,
+      "num_tokens": 11201805.0,
+      "step": 6145
+    },
+    {
+      "entropy": 5.31660532951355,
+      "epoch": 5.095277547638774,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002993026789174205,
+      "loss": 4.7322,
+      "mean_token_accuracy": 0.21754502654075622,
+      "num_tokens": 11210114.0,
+      "step": 6150
+    },
+    {
+      "entropy": 5.335706996917724,
+      "epoch": 5.099420049710025,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002989849678304099,
+      "loss": 4.8147,
+      "mean_token_accuracy": 0.20241696387529373,
+      "num_tokens": 11219725.0,
+      "step": 6155
+    },
+    {
+      "entropy": 5.308135366439819,
+      "epoch": 5.103562551781276,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00029866720836309817,
+      "loss": 4.7283,
+      "mean_token_accuracy": 0.20736500322818757,
+      "num_tokens": 11228583.0,
+      "step": 6160
+    },
+    {
+      "entropy": 5.3292882442474365,
+      "epoch": 5.107705053852527,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00029834940115644086,
+      "loss": 4.7472,
+      "mean_token_accuracy": 0.20635622441768647,
+      "num_tokens": 11237787.0,
+      "step": 6165
+    },
+    {
+      "entropy": 5.2917111873626705,
+      "epoch": 5.111847555923778,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002980315468514898,
+      "loss": 4.7704,
+      "mean_token_accuracy": 0.20057149082422257,
+      "num_tokens": 11247136.0,
+      "step": 6170
+    },
+    {
+      "entropy": 5.239889097213745,
+      "epoch": 5.115990057995029,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00029771364608939196,
+      "loss": 4.6994,
+      "mean_token_accuracy": 0.20981708765029908,
+      "num_tokens": 11256931.0,
+      "step": 6175
+    },
+    {
+      "entropy": 5.272354030609131,
+      "epoch": 5.12013256006628,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002973956995113878,
+      "loss": 4.6811,
+      "mean_token_accuracy": 0.20489206910133362,
+      "num_tokens": 11266457.0,
+      "step": 6180
+    },
+    {
+      "entropy": 5.272558641433716,
+      "epoch": 5.1242750621375315,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.0002970777077588103,
+      "loss": 4.6443,
+      "mean_token_accuracy": 0.2170465260744095,
+      "num_tokens": 11274239.0,
+      "step": 6185
+    },
+    {
+      "entropy": 5.282349872589111,
+      "epoch": 5.128417564208782,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0002967596714730837,
+      "loss": 4.7752,
+      "mean_token_accuracy": 0.20363858938217164,
+      "num_tokens": 11283239.0,
+      "step": 6190
+    },
+    {
+      "entropy": 5.285331869125367,
+      "epoch": 5.132560066280033,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00029644159129572185,
+      "loss": 4.7121,
+      "mean_token_accuracy": 0.2075791761279106,
+      "num_tokens": 11291662.0,
+      "step": 6195
+    },
+    {
+      "entropy": 5.2614960193634035,
+      "epoch": 5.136702568351284,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002961234678683272,
+      "loss": 4.7453,
+      "mean_token_accuracy": 0.21309943348169327,
+      "num_tokens": 11300165.0,
+      "step": 6200
+    },
+    {
+      "entropy": 5.323043155670166,
+      "epoch": 5.140845070422535,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0002958053018325896,
+      "loss": 4.7132,
+      "mean_token_accuracy": 0.21612811386585234,
+      "num_tokens": 11309729.0,
+      "step": 6205
+    },
+    {
+      "entropy": 5.375712585449219,
+      "epoch": 5.144987572493786,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002954870938302846,
+      "loss": 4.7657,
+      "mean_token_accuracy": 0.2033802881836891,
+      "num_tokens": 11318674.0,
+      "step": 6210
+    },
+    {
+      "entropy": 5.292187595367432,
+      "epoch": 5.149130074565037,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002951688445032726,
+      "loss": 4.7309,
+      "mean_token_accuracy": 0.21144932359457017,
+      "num_tokens": 11327583.0,
+      "step": 6215
+    },
+    {
+      "entropy": 5.326848030090332,
+      "epoch": 5.153272576636288,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002948505544934971,
+      "loss": 4.7639,
+      "mean_token_accuracy": 0.2049189493060112,
+      "num_tokens": 11338132.0,
+      "step": 6220
+    },
+    {
+      "entropy": 5.31851224899292,
+      "epoch": 5.1574150787075395,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000294532224442984,
+      "loss": 4.7911,
+      "mean_token_accuracy": 0.20397177040576936,
+      "num_tokens": 11347210.0,
+      "step": 6225
+    },
+    {
+      "entropy": 5.275168132781983,
+      "epoch": 5.161557580778791,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00029421385499383976,
+      "loss": 4.6742,
+      "mean_token_accuracy": 0.22349916100502015,
+      "num_tokens": 11355479.0,
+      "step": 6230
+    },
+    {
+      "entropy": 5.348278999328613,
+      "epoch": 5.165700082850042,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00029389544678825035,
+      "loss": 4.8403,
+      "mean_token_accuracy": 0.19372698813676834,
+      "num_tokens": 11364518.0,
+      "step": 6235
+    },
+    {
+      "entropy": 5.247139596939087,
+      "epoch": 5.169842584921293,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00029357700046847985,
+      "loss": 4.737,
+      "mean_token_accuracy": 0.2046540141105652,
+      "num_tokens": 11373589.0,
+      "step": 6240
+    },
+    {
+      "entropy": 5.368101263046265,
+      "epoch": 5.173985086992544,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002932585166768694,
+      "loss": 4.7938,
+      "mean_token_accuracy": 0.20394597351551055,
+      "num_tokens": 11383209.0,
+      "step": 6245
+    },
+    {
+      "entropy": 5.315500497817993,
+      "epoch": 5.178127589063794,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00029293999605583545,
+      "loss": 4.7294,
+      "mean_token_accuracy": 0.20444581657648087,
+      "num_tokens": 11392012.0,
+      "step": 6250
+    },
+    {
+      "entropy": 5.282355690002442,
+      "epoch": 5.182270091135045,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00029262143924786905,
+      "loss": 4.7761,
+      "mean_token_accuracy": 0.20456164181232453,
+      "num_tokens": 11400489.0,
+      "step": 6255
+    },
+    {
+      "entropy": 5.2667319774627686,
+      "epoch": 5.186412593206296,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00029230284689553404,
+      "loss": 4.6817,
+      "mean_token_accuracy": 0.21175160706043245,
+      "num_tokens": 11409337.0,
+      "step": 6260
+    },
+    {
+      "entropy": 5.286681175231934,
+      "epoch": 5.190555095277547,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00029198421964146605,
+      "loss": 4.7382,
+      "mean_token_accuracy": 0.21787525415420533,
+      "num_tokens": 11418650.0,
+      "step": 6265
+    },
+    {
+      "entropy": 5.2383523941040036,
+      "epoch": 5.1946975973487985,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002916655581283709,
+      "loss": 4.747,
+      "mean_token_accuracy": 0.20590767711400987,
+      "num_tokens": 11427516.0,
+      "step": 6270
+    },
+    {
+      "entropy": 5.225810289382935,
+      "epoch": 5.19884009942005,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00029134686299902397,
+      "loss": 4.7223,
+      "mean_token_accuracy": 0.20668105334043502,
+      "num_tokens": 11435676.0,
+      "step": 6275
+    },
+    {
+      "entropy": 5.336339044570923,
+      "epoch": 5.202982601491301,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002910281348962679,
+      "loss": 4.7825,
+      "mean_token_accuracy": 0.1937339723110199,
+      "num_tokens": 11444520.0,
+      "step": 6280
+    },
+    {
+      "entropy": 5.342389440536499,
+      "epoch": 5.207125103562552,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00029070937446301225,
+      "loss": 4.7611,
+      "mean_token_accuracy": 0.20350439995527267,
+      "num_tokens": 11453759.0,
+      "step": 6285
+    },
+    {
+      "entropy": 5.377904796600342,
+      "epoch": 5.211267605633803,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002903905823422317,
+      "loss": 4.9078,
+      "mean_token_accuracy": 0.1901518851518631,
+      "num_tokens": 11463409.0,
+      "step": 6290
+    },
+    {
+      "entropy": 5.323945093154907,
+      "epoch": 5.215410107705054,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002900717591769646,
+      "loss": 4.7966,
+      "mean_token_accuracy": 0.20510322898626326,
+      "num_tokens": 11473440.0,
+      "step": 6295
+    },
+    {
+      "entropy": 5.27484130859375,
+      "epoch": 5.219552609776305,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002897529056103122,
+      "loss": 4.6336,
+      "mean_token_accuracy": 0.2183629482984543,
+      "num_tokens": 11482353.0,
+      "step": 6300
+    },
+    {
+      "entropy": 5.297479438781738,
+      "epoch": 5.223695111847556,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002894340222854371,
+      "loss": 4.7712,
+      "mean_token_accuracy": 0.20640946179628372,
+      "num_tokens": 11491331.0,
+      "step": 6305
+    },
+    {
+      "entropy": 5.215849542617798,
+      "epoch": 5.2278376139188065,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002891151098455617,
+      "loss": 4.7107,
+      "mean_token_accuracy": 0.20350281596183778,
+      "num_tokens": 11500553.0,
+      "step": 6310
+    },
+    {
+      "entropy": 5.170541191101075,
+      "epoch": 5.231980115990058,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002887961689339672,
+      "loss": 4.6526,
+      "mean_token_accuracy": 0.21051572561264037,
+      "num_tokens": 11509146.0,
+      "step": 6315
+    },
+    {
+      "entropy": 5.332199335098267,
+      "epoch": 5.236122618061309,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002884772001939924,
+      "loss": 4.7771,
+      "mean_token_accuracy": 0.20190449655056,
+      "num_tokens": 11518172.0,
+      "step": 6320
+    },
+    {
+      "entropy": 5.30375485420227,
+      "epoch": 5.24026512013256,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000288158204269032,
+      "loss": 4.7764,
+      "mean_token_accuracy": 0.19927115142345428,
+      "num_tokens": 11527291.0,
+      "step": 6325
+    },
+    {
+      "entropy": 5.285002279281616,
+      "epoch": 5.244407622203811,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00028783918180253567,
+      "loss": 4.7763,
+      "mean_token_accuracy": 0.20877851247787477,
+      "num_tokens": 11536306.0,
+      "step": 6330
+    },
+    {
+      "entropy": 5.325639486312866,
+      "epoch": 5.248550124275062,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002875201334380066,
+      "loss": 4.801,
+      "mean_token_accuracy": 0.20768691897392272,
+      "num_tokens": 11545879.0,
+      "step": 6335
+    },
+    {
+      "entropy": 5.260626125335693,
+      "epoch": 5.252692626346313,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002872010598190002,
+      "loss": 4.7203,
+      "mean_token_accuracy": 0.21331494748592378,
+      "num_tokens": 11555067.0,
+      "step": 6340
+    },
+    {
+      "entropy": 5.273142910003662,
+      "epoch": 5.256835128417564,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002868819615891229,
+      "loss": 4.699,
+      "mean_token_accuracy": 0.211579430103302,
+      "num_tokens": 11563419.0,
+      "step": 6345
+    },
+    {
+      "entropy": 5.256633758544922,
+      "epoch": 5.260977630488815,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002865628393920305,
+      "loss": 4.7696,
+      "mean_token_accuracy": 0.207663132250309,
+      "num_tokens": 11573018.0,
+      "step": 6350
+    },
+    {
+      "entropy": 5.237578821182251,
+      "epoch": 5.2651201325600665,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.0002862436938714276,
+      "loss": 4.7003,
+      "mean_token_accuracy": 0.20862672179937364,
+      "num_tokens": 11581996.0,
+      "step": 6355
+    },
+    {
+      "entropy": 5.355519008636475,
+      "epoch": 5.269262634631318,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002859245256710654,
+      "loss": 4.7534,
+      "mean_token_accuracy": 0.20775581747293473,
+      "num_tokens": 11591706.0,
+      "step": 6360
+    },
+    {
+      "entropy": 5.319948673248291,
+      "epoch": 5.273405136702569,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002856053354347411,
+      "loss": 4.7813,
+      "mean_token_accuracy": 0.2074725329875946,
+      "num_tokens": 11600616.0,
+      "step": 6365
+    },
+    {
+      "entropy": 5.243834018707275,
+      "epoch": 5.27754763877382,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002852861238062963,
+      "loss": 4.6584,
+      "mean_token_accuracy": 0.21568063348531724,
+      "num_tokens": 11609650.0,
+      "step": 6370
+    },
+    {
+      "entropy": 5.26465950012207,
+      "epoch": 5.28169014084507,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002849668914296157,
+      "loss": 4.6998,
+      "mean_token_accuracy": 0.21142313480377198,
+      "num_tokens": 11618785.0,
+      "step": 6375
+    },
+    {
+      "entropy": 5.305418300628662,
+      "epoch": 5.285832642916321,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000284647638948626,
+      "loss": 4.7576,
+      "mean_token_accuracy": 0.20556087791919708,
+      "num_tokens": 11628089.0,
+      "step": 6380
+    },
+    {
+      "entropy": 5.268257570266724,
+      "epoch": 5.289975144987572,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002843283670072942,
+      "loss": 4.8658,
+      "mean_token_accuracy": 0.19545172303915023,
+      "num_tokens": 11636954.0,
+      "step": 6385
+    },
+    {
+      "entropy": 5.275126600265503,
+      "epoch": 5.294117647058823,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0002840090762496268,
+      "loss": 4.7803,
+      "mean_token_accuracy": 0.20498874336481093,
+      "num_tokens": 11646719.0,
+      "step": 6390
+    },
+    {
+      "entropy": 5.340854024887085,
+      "epoch": 5.2982601491300745,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002836897673196681,
+      "loss": 4.7015,
+      "mean_token_accuracy": 0.20719585418701172,
+      "num_tokens": 11655589.0,
+      "step": 6395
+    },
+    {
+      "entropy": 5.227226972579956,
+      "epoch": 5.302402651201326,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00028337044086149913,
+      "loss": 4.7283,
+      "mean_token_accuracy": 0.20560554265975953,
+      "num_tokens": 11663703.0,
+      "step": 6400
+    },
+    {
+      "entropy": 5.296469211578369,
+      "epoch": 5.306545153272577,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00028305109751923616,
+      "loss": 4.8177,
+      "mean_token_accuracy": 0.20388006865978242,
+      "num_tokens": 11672643.0,
+      "step": 6405
+    },
+    {
+      "entropy": 5.270711994171142,
+      "epoch": 5.310687655343828,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00028273173793702967,
+      "loss": 4.673,
+      "mean_token_accuracy": 0.2078327417373657,
+      "num_tokens": 11681449.0,
+      "step": 6410
+    },
+    {
+      "entropy": 5.301759338378906,
+      "epoch": 5.314830157415079,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002824123627590629,
+      "loss": 4.7568,
+      "mean_token_accuracy": 0.19922166019678117,
+      "num_tokens": 11690820.0,
+      "step": 6415
+    },
+    {
+      "entropy": 5.291653823852539,
+      "epoch": 5.31897265948633,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002820929726295504,
+      "loss": 4.7858,
+      "mean_token_accuracy": 0.2068773627281189,
+      "num_tokens": 11699705.0,
+      "step": 6420
+    },
+    {
+      "entropy": 5.257635831832886,
+      "epoch": 5.323115161557581,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002817735681927371,
+      "loss": 4.7267,
+      "mean_token_accuracy": 0.21190525144338607,
+      "num_tokens": 11709417.0,
+      "step": 6425
+    },
+    {
+      "entropy": 5.305531692504883,
+      "epoch": 5.327257663628831,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00028145415009289644,
+      "loss": 4.7662,
+      "mean_token_accuracy": 0.2035451725125313,
+      "num_tokens": 11718661.0,
+      "step": 6430
+    },
+    {
+      "entropy": 5.240819025039673,
+      "epoch": 5.3314001657000825,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002811347189743297,
+      "loss": 4.7448,
+      "mean_token_accuracy": 0.21049206256866454,
+      "num_tokens": 11727568.0,
+      "step": 6435
+    },
+    {
+      "entropy": 5.250747394561768,
+      "epoch": 5.335542667771334,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00028081527548136446,
+      "loss": 4.6853,
+      "mean_token_accuracy": 0.2216053858399391,
+      "num_tokens": 11736615.0,
+      "step": 6440
+    },
+    {
+      "entropy": 5.348236608505249,
+      "epoch": 5.339685169842585,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002804958202583531,
+      "loss": 4.8181,
+      "mean_token_accuracy": 0.19986798763275146,
+      "num_tokens": 11747458.0,
+      "step": 6445
+    },
+    {
+      "entropy": 5.277511358261108,
+      "epoch": 5.343827671913836,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002801763539496718,
+      "loss": 4.7878,
+      "mean_token_accuracy": 0.2081502467393875,
+      "num_tokens": 11756279.0,
+      "step": 6450
+    },
+    {
+      "entropy": 5.279990530014038,
+      "epoch": 5.347970173985087,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002798568771997188,
+      "loss": 4.7942,
+      "mean_token_accuracy": 0.2071585923433304,
+      "num_tokens": 11765022.0,
+      "step": 6455
+    },
+    {
+      "entropy": 5.2339942932128904,
+      "epoch": 5.352112676056338,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002795373906529137,
+      "loss": 4.7376,
+      "mean_token_accuracy": 0.20560838282108307,
+      "num_tokens": 11774704.0,
+      "step": 6460
+    },
+    {
+      "entropy": 5.248803615570068,
+      "epoch": 5.356255178127589,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002792178949536959,
+      "loss": 4.6784,
+      "mean_token_accuracy": 0.21611350923776626,
+      "num_tokens": 11782309.0,
+      "step": 6465
+    },
+    {
+      "entropy": 5.28652811050415,
+      "epoch": 5.36039768019884,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000278898390746523,
+      "loss": 4.7467,
+      "mean_token_accuracy": 0.20095686316490174,
+      "num_tokens": 11792595.0,
+      "step": 6470
+    },
+    {
+      "entropy": 5.2047077178955075,
+      "epoch": 5.364540182270091,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00027857887867587005,
+      "loss": 4.7269,
+      "mean_token_accuracy": 0.21140239089727403,
+      "num_tokens": 11801536.0,
+      "step": 6475
+    },
+    {
+      "entropy": 5.271708583831787,
+      "epoch": 5.368682684341342,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002782593593862276,
+      "loss": 4.8229,
+      "mean_token_accuracy": 0.19779271334409715,
+      "num_tokens": 11810222.0,
+      "step": 6480
+    },
+    {
+      "entropy": 5.317666244506836,
+      "epoch": 5.3728251864125935,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002779398335221011,
+      "loss": 4.8066,
+      "mean_token_accuracy": 0.20721431225538253,
+      "num_tokens": 11819310.0,
+      "step": 6485
+    },
+    {
+      "entropy": 5.305458688735962,
+      "epoch": 5.376967688483845,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.0002776203017280092,
+      "loss": 4.7703,
+      "mean_token_accuracy": 0.19982181042432784,
+      "num_tokens": 11827916.0,
+      "step": 6490
+    },
+    {
+      "entropy": 5.217341518402099,
+      "epoch": 5.381110190555095,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00027730076464848225,
+      "loss": 4.7654,
+      "mean_token_accuracy": 0.20862893313169478,
+      "num_tokens": 11836770.0,
+      "step": 6495
+    },
+    {
+      "entropy": 5.276216888427735,
+      "epoch": 5.385252692626346,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00027698122292806174,
+      "loss": 4.7006,
+      "mean_token_accuracy": 0.21164953708648682,
+      "num_tokens": 11845917.0,
+      "step": 6500
+    },
+    {
+      "epoch": 5.385252692626346,
+      "eval_entropy": 5.213927641097925,
+      "eval_loss": 5.769200801849365,
+      "eval_mean_token_accuracy": 0.16407465213524508,
+      "eval_num_tokens": 11845917.0,
+      "eval_runtime": 2.9494,
+      "eval_samples_per_second": 1270.426,
+      "eval_steps_per_second": 159.015,
+      "step": 6500
+    },
+    {
+      "entropy": 5.290333843231201,
+      "epoch": 5.389395194697597,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.000276661677211298,
+      "loss": 4.7403,
+      "mean_token_accuracy": 0.20341738760471345,
+      "num_tokens": 11855118.0,
+      "step": 6505
+    },
+    {
+      "entropy": 5.278094148635864,
+      "epoch": 5.393537696768848,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002763421281427497,
+      "loss": 4.6794,
+      "mean_token_accuracy": 0.21257141679525376,
+      "num_tokens": 11863793.0,
+      "step": 6510
+    },
+    {
+      "entropy": 5.368717813491822,
+      "epoch": 5.397680198840099,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002760225763669823,
+      "loss": 4.8171,
+      "mean_token_accuracy": 0.197501078248024,
+      "num_tokens": 11873194.0,
+      "step": 6515
+    },
+    {
+      "entropy": 5.341726636886596,
+      "epoch": 5.40182270091135,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00027570302252856666,
+      "loss": 4.7747,
+      "mean_token_accuracy": 0.20519590526819229,
+      "num_tokens": 11882566.0,
+      "step": 6520
+    },
+    {
+      "entropy": 5.2676441192626955,
+      "epoch": 5.4059652029826015,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00027538346727207767,
+      "loss": 4.7475,
+      "mean_token_accuracy": 0.21314287781715394,
+      "num_tokens": 11892267.0,
+      "step": 6525
+    },
+    {
+      "entropy": 5.272220420837402,
+      "epoch": 5.410107705053853,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002750639112420934,
+      "loss": 4.7716,
+      "mean_token_accuracy": 0.21124217808246612,
+      "num_tokens": 11901440.0,
+      "step": 6530
+    },
+    {
+      "entropy": 5.270874547958374,
+      "epoch": 5.414250207125104,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00027474435508319304,
+      "loss": 4.8396,
+      "mean_token_accuracy": 0.20556266158819197,
+      "num_tokens": 11911259.0,
+      "step": 6535
+    },
+    {
+      "entropy": 5.265343093872071,
+      "epoch": 5.418392709196355,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00027442479943995645,
+      "loss": 4.7941,
+      "mean_token_accuracy": 0.2035036563873291,
+      "num_tokens": 11920467.0,
+      "step": 6540
+    },
+    {
+      "entropy": 5.283535575866699,
+      "epoch": 5.422535211267606,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002741052449569624,
+      "loss": 4.8089,
+      "mean_token_accuracy": 0.19865555614233016,
+      "num_tokens": 11929971.0,
+      "step": 6545
+    },
+    {
+      "entropy": 5.330445003509522,
+      "epoch": 5.426677713338857,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002737856922787869,
+      "loss": 4.8088,
+      "mean_token_accuracy": 0.19926221221685408,
+      "num_tokens": 11938585.0,
+      "step": 6550
+    },
+    {
+      "entropy": 5.301173543930053,
+      "epoch": 5.430820215410108,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027346614205000277,
+      "loss": 4.7884,
+      "mean_token_accuracy": 0.20320066064596176,
+      "num_tokens": 11948264.0,
+      "step": 6555
+    },
+    {
+      "entropy": 5.329202175140381,
+      "epoch": 5.434962717481358,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00027314659491517777,
+      "loss": 4.7827,
+      "mean_token_accuracy": 0.2079697236418724,
+      "num_tokens": 11958459.0,
+      "step": 6560
+    },
+    {
+      "entropy": 5.296626996994019,
+      "epoch": 5.4391052195526095,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002728270515188733,
+      "loss": 4.7728,
+      "mean_token_accuracy": 0.20527158677577972,
+      "num_tokens": 11967994.0,
+      "step": 6565
+    },
+    {
+      "entropy": 5.325187683105469,
+      "epoch": 5.443247721623861,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002725075125056435,
+      "loss": 4.8235,
+      "mean_token_accuracy": 0.21111733317375184,
+      "num_tokens": 11976564.0,
+      "step": 6570
+    },
+    {
+      "entropy": 5.296580266952515,
+      "epoch": 5.447390223695112,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002721879785200333,
+      "loss": 4.7541,
+      "mean_token_accuracy": 0.21026979386806488,
+      "num_tokens": 11985682.0,
+      "step": 6575
+    },
+    {
+      "entropy": 5.34701886177063,
+      "epoch": 5.451532725766363,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002718684502065777,
+      "loss": 4.8138,
+      "mean_token_accuracy": 0.20367322415113448,
+      "num_tokens": 11995098.0,
+      "step": 6580
+    },
+    {
+      "entropy": 5.3261590003967285,
+      "epoch": 5.455675227837614,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00027154892820980024,
+      "loss": 4.8096,
+      "mean_token_accuracy": 0.206008443236351,
+      "num_tokens": 12004538.0,
+      "step": 6585
+    },
+    {
+      "entropy": 5.262662792205811,
+      "epoch": 5.459817729908865,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00027122941317421175,
+      "loss": 4.741,
+      "mean_token_accuracy": 0.21086378544569015,
+      "num_tokens": 12012568.0,
+      "step": 6590
+    },
+    {
+      "entropy": 5.287980222702027,
+      "epoch": 5.463960231980116,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000270909905744309,
+      "loss": 4.776,
+      "mean_token_accuracy": 0.20741475820541383,
+      "num_tokens": 12021934.0,
+      "step": 6595
+    },
+    {
+      "entropy": 5.313226222991943,
+      "epoch": 5.468102734051367,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00027059040656457316,
+      "loss": 4.8104,
+      "mean_token_accuracy": 0.2010733589529991,
+      "num_tokens": 12031158.0,
+      "step": 6600
+    },
+    {
+      "entropy": 5.3314722061157225,
+      "epoch": 5.472245236122618,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002702709162794692,
+      "loss": 4.8078,
+      "mean_token_accuracy": 0.20088913142681122,
+      "num_tokens": 12040392.0,
+      "step": 6605
+    },
+    {
+      "entropy": 5.248980331420898,
+      "epoch": 5.4763877381938695,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00026995143553344394,
+      "loss": 4.6481,
+      "mean_token_accuracy": 0.21935920119285585,
+      "num_tokens": 12048412.0,
+      "step": 6610
+    },
+    {
+      "entropy": 5.258455896377564,
+      "epoch": 5.48053024026512,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00026963196497092483,
+      "loss": 4.7625,
+      "mean_token_accuracy": 0.20619691014289857,
+      "num_tokens": 12057681.0,
+      "step": 6615
+    },
+    {
+      "entropy": 5.290913534164429,
+      "epoch": 5.484672742336371,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00026931250523631905,
+      "loss": 4.7451,
+      "mean_token_accuracy": 0.20713003873825073,
+      "num_tokens": 12066243.0,
+      "step": 6620
+    },
+    {
+      "entropy": 5.215484523773194,
+      "epoch": 5.488815244407622,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026899305697401175,
+      "loss": 4.7545,
+      "mean_token_accuracy": 0.20806889086961747,
+      "num_tokens": 12075312.0,
+      "step": 6625
+    },
+    {
+      "entropy": 5.231590509414673,
+      "epoch": 5.492957746478873,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002686736208283649,
+      "loss": 4.7629,
+      "mean_token_accuracy": 0.20990005433559417,
+      "num_tokens": 12083990.0,
+      "step": 6630
+    },
+    {
+      "entropy": 5.376721620559692,
+      "epoch": 5.497100248550124,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00026835419744371627,
+      "loss": 4.8732,
+      "mean_token_accuracy": 0.19839346706867217,
+      "num_tokens": 12093301.0,
+      "step": 6635
+    },
+    {
+      "entropy": 5.241463851928711,
+      "epoch": 5.501242750621375,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002680347874643775,
+      "loss": 4.6882,
+      "mean_token_accuracy": 0.21418087482452391,
+      "num_tokens": 12102054.0,
+      "step": 6640
+    },
+    {
+      "entropy": 5.262872982025146,
+      "epoch": 5.505385252692626,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002677153915346336,
+      "loss": 4.7708,
+      "mean_token_accuracy": 0.20341249853372573,
+      "num_tokens": 12111432.0,
+      "step": 6645
+    },
+    {
+      "entropy": 5.237018823623657,
+      "epoch": 5.5095277547638775,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002673960102987412,
+      "loss": 4.7032,
+      "mean_token_accuracy": 0.21349260658025743,
+      "num_tokens": 12120424.0,
+      "step": 6650
+    },
+    {
+      "entropy": 5.301366519927979,
+      "epoch": 5.513670256835129,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00026707664440092676,
+      "loss": 4.8377,
+      "mean_token_accuracy": 0.20626042485237123,
+      "num_tokens": 12130210.0,
+      "step": 6655
+    },
+    {
+      "entropy": 5.414148330688477,
+      "epoch": 5.51781275890638,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00026675729448538655,
+      "loss": 4.8269,
+      "mean_token_accuracy": 0.21095569282770157,
+      "num_tokens": 12139366.0,
+      "step": 6660
+    },
+    {
+      "entropy": 5.2740867137908936,
+      "epoch": 5.521955260977631,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00026643796119628404,
+      "loss": 4.6432,
+      "mean_token_accuracy": 0.21321782022714614,
+      "num_tokens": 12148385.0,
+      "step": 6665
+    },
+    {
+      "entropy": 5.290845537185669,
+      "epoch": 5.526097763048882,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002661186451777495,
+      "loss": 4.7822,
+      "mean_token_accuracy": 0.20492887496948242,
+      "num_tokens": 12156640.0,
+      "step": 6670
+    },
+    {
+      "entropy": 5.280693674087525,
+      "epoch": 5.530240265120133,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002657993470738781,
+      "loss": 4.8587,
+      "mean_token_accuracy": 0.19673615247011184,
+      "num_tokens": 12166532.0,
+      "step": 6675
+    },
+    {
+      "entropy": 5.24079852104187,
+      "epoch": 5.534382767191383,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026548006752872915,
+      "loss": 4.6934,
+      "mean_token_accuracy": 0.2146509751677513,
+      "num_tokens": 12175239.0,
+      "step": 6680
+    },
+    {
+      "entropy": 5.243715524673462,
+      "epoch": 5.538525269262634,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002651608071863244,
+      "loss": 4.7611,
+      "mean_token_accuracy": 0.20688466280698775,
+      "num_tokens": 12184588.0,
+      "step": 6685
+    },
+    {
+      "entropy": 5.333131456375122,
+      "epoch": 5.542667771333885,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00026484156669064665,
+      "loss": 4.8177,
+      "mean_token_accuracy": 0.20230551064014435,
+      "num_tokens": 12194140.0,
+      "step": 6690
+    },
+    {
+      "entropy": 5.310734224319458,
+      "epoch": 5.5468102734051365,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.000264522346685639,
+      "loss": 4.8193,
+      "mean_token_accuracy": 0.20696787536144257,
+      "num_tokens": 12203504.0,
+      "step": 6695
+    },
+    {
+      "entropy": 5.33381724357605,
+      "epoch": 5.550952775476388,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0002642031478152031,
+      "loss": 4.7782,
+      "mean_token_accuracy": 0.207833394408226,
+      "num_tokens": 12212594.0,
+      "step": 6700
+    },
+    {
+      "entropy": 5.3383890151977536,
+      "epoch": 5.555095277547639,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00026388397072319786,
+      "loss": 4.8162,
+      "mean_token_accuracy": 0.2045178234577179,
+      "num_tokens": 12222101.0,
+      "step": 6705
+    },
+    {
+      "entropy": 5.29089732170105,
+      "epoch": 5.55923777961889,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002635648160534385,
+      "loss": 4.8118,
+      "mean_token_accuracy": 0.20435990989208222,
+      "num_tokens": 12232118.0,
+      "step": 6710
+    },
+    {
+      "entropy": 5.352822351455688,
+      "epoch": 5.563380281690141,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026324568444969473,
+      "loss": 4.7439,
+      "mean_token_accuracy": 0.20706239342689514,
+      "num_tokens": 12241275.0,
+      "step": 6715
+    },
+    {
+      "entropy": 5.245583724975586,
+      "epoch": 5.567522783761392,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026292657655569,
+      "loss": 4.7375,
+      "mean_token_accuracy": 0.21279312521219254,
+      "num_tokens": 12251125.0,
+      "step": 6720
+    },
+    {
+      "entropy": 5.229356813430786,
+      "epoch": 5.571665285832643,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00026260749301509954,
+      "loss": 4.7241,
+      "mean_token_accuracy": 0.21198077648878097,
+      "num_tokens": 12260613.0,
+      "step": 6725
+    },
+    {
+      "entropy": 5.324583339691162,
+      "epoch": 5.575807787903894,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026228843447155005,
+      "loss": 4.733,
+      "mean_token_accuracy": 0.2107634127140045,
+      "num_tokens": 12269878.0,
+      "step": 6730
+    },
+    {
+      "entropy": 5.270222854614258,
+      "epoch": 5.5799502899751445,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00026196940156861736,
+      "loss": 4.7819,
+      "mean_token_accuracy": 0.20616225749254227,
+      "num_tokens": 12278616.0,
+      "step": 6735
+    },
+    {
+      "entropy": 5.194797945022583,
+      "epoch": 5.584092792046396,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00026165039494982555,
+      "loss": 4.7068,
+      "mean_token_accuracy": 0.2110671728849411,
+      "num_tokens": 12287104.0,
+      "step": 6740
+    },
+    {
+      "entropy": 5.187378549575806,
+      "epoch": 5.588235294117647,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00026133141525864605,
+      "loss": 4.7357,
+      "mean_token_accuracy": 0.20822987705469131,
+      "num_tokens": 12296503.0,
+      "step": 6745
+    },
+    {
+      "entropy": 5.294446992874145,
+      "epoch": 5.592377796188898,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00026101246313849557,
+      "loss": 4.6989,
+      "mean_token_accuracy": 0.2123148426413536,
+      "num_tokens": 12306298.0,
+      "step": 6750
+    },
+    {
+      "entropy": 5.2862865924835205,
+      "epoch": 5.596520298260149,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0002606935392327356,
+      "loss": 4.7664,
+      "mean_token_accuracy": 0.20611962229013442,
+      "num_tokens": 12314826.0,
+      "step": 6755
+    },
+    {
+      "entropy": 5.258157396316529,
+      "epoch": 5.6006628003314,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00026037464418467035,
+      "loss": 4.7079,
+      "mean_token_accuracy": 0.21357058137655258,
+      "num_tokens": 12323776.0,
+      "step": 6760
+    },
+    {
+      "entropy": 5.312329053878784,
+      "epoch": 5.604805302402651,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002600557786375459,
+      "loss": 4.7819,
+      "mean_token_accuracy": 0.20854859054088593,
+      "num_tokens": 12332374.0,
+      "step": 6765
+    },
+    {
+      "entropy": 5.217779874801636,
+      "epoch": 5.608947804473902,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00025973694323454916,
+      "loss": 4.6354,
+      "mean_token_accuracy": 0.21756067872047424,
+      "num_tokens": 12341007.0,
+      "step": 6770
+    },
+    {
+      "entropy": 5.175305271148682,
+      "epoch": 5.613090306545153,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00025941813861880575,
+      "loss": 4.7114,
+      "mean_token_accuracy": 0.20966241657733917,
+      "num_tokens": 12350330.0,
+      "step": 6775
+    },
+    {
+      "entropy": 5.267894315719604,
+      "epoch": 5.6172328086164045,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00025909936543337957,
+      "loss": 4.7519,
+      "mean_token_accuracy": 0.1993374451994896,
+      "num_tokens": 12358592.0,
+      "step": 6780
+    },
+    {
+      "entropy": 5.290813016891479,
+      "epoch": 5.621375310687656,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002587806243212709,
+      "loss": 4.7692,
+      "mean_token_accuracy": 0.20917081385850905,
+      "num_tokens": 12368195.0,
+      "step": 6785
+    },
+    {
+      "entropy": 5.241605234146118,
+      "epoch": 5.625517812758907,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002584619159254154,
+      "loss": 4.7124,
+      "mean_token_accuracy": 0.20834194272756576,
+      "num_tokens": 12377206.0,
+      "step": 6790
+    },
+    {
+      "entropy": 5.247827816009521,
+      "epoch": 5.629660314830158,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00025814324088868276,
+      "loss": 4.7593,
+      "mean_token_accuracy": 0.21013118624687194,
+      "num_tokens": 12386595.0,
+      "step": 6795
+    },
+    {
+      "entropy": 5.175970602035522,
+      "epoch": 5.633802816901408,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00025782459985387526,
+      "loss": 4.6569,
+      "mean_token_accuracy": 0.2180004358291626,
+      "num_tokens": 12395923.0,
+      "step": 6800
+    },
+    {
+      "entropy": 5.269517803192139,
+      "epoch": 5.637945318972659,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002575059934637268,
+      "loss": 4.7985,
+      "mean_token_accuracy": 0.20669761300086975,
+      "num_tokens": 12405094.0,
+      "step": 6805
+    },
+    {
+      "entropy": 5.268765878677368,
+      "epoch": 5.64208782104391,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002571874223609012,
+      "loss": 4.7972,
+      "mean_token_accuracy": 0.20435070544481276,
+      "num_tokens": 12414834.0,
+      "step": 6810
+    },
+    {
+      "entropy": 5.294848012924194,
+      "epoch": 5.646230323115161,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00025686888718799136,
+      "loss": 4.7513,
+      "mean_token_accuracy": 0.20469613671302794,
+      "num_tokens": 12423485.0,
+      "step": 6815
+    },
+    {
+      "entropy": 5.368587017059326,
+      "epoch": 5.6503728251864125,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002565503885875173,
+      "loss": 4.7935,
+      "mean_token_accuracy": 0.20704300552606583,
+      "num_tokens": 12432149.0,
+      "step": 6820
+    },
+    {
+      "entropy": 5.2622401237487795,
+      "epoch": 5.654515327257664,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00025623192720192564,
+      "loss": 4.7433,
+      "mean_token_accuracy": 0.2119109019637108,
+      "num_tokens": 12441272.0,
+      "step": 6825
+    },
+    {
+      "entropy": 5.190871524810791,
+      "epoch": 5.658657829328915,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002559135036735877,
+      "loss": 4.7388,
+      "mean_token_accuracy": 0.20155471414327622,
+      "num_tokens": 12449318.0,
+      "step": 6830
+    },
+    {
+      "entropy": 5.168833065032959,
+      "epoch": 5.662800331400166,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00025559511864479864,
+      "loss": 4.6898,
+      "mean_token_accuracy": 0.21231105625629426,
+      "num_tokens": 12458473.0,
+      "step": 6835
+    },
+    {
+      "entropy": 5.313192129135132,
+      "epoch": 5.666942833471417,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002552767727577758,
+      "loss": 4.8113,
+      "mean_token_accuracy": 0.20445662438869477,
+      "num_tokens": 12467703.0,
+      "step": 6840
+    },
+    {
+      "entropy": 5.292496681213379,
+      "epoch": 5.671085335542668,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00025495846665465774,
+      "loss": 4.6938,
+      "mean_token_accuracy": 0.21795116513967513,
+      "num_tokens": 12476166.0,
+      "step": 6845
+    },
+    {
+      "entropy": 5.235640621185302,
+      "epoch": 5.675227837613919,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002546402009775024,
+      "loss": 4.7403,
+      "mean_token_accuracy": 0.20330073386430741,
+      "num_tokens": 12484880.0,
+      "step": 6850
+    },
+    {
+      "entropy": 5.31177544593811,
+      "epoch": 5.679370339685169,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00025432197636828663,
+      "loss": 4.8103,
+      "mean_token_accuracy": 0.20381423085927963,
+      "num_tokens": 12494208.0,
+      "step": 6855
+    },
+    {
+      "entropy": 5.334811210632324,
+      "epoch": 5.683512841756421,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002540037934689042,
+      "loss": 4.8024,
+      "mean_token_accuracy": 0.20098040848970414,
+      "num_tokens": 12503647.0,
+      "step": 6860
+    },
+    {
+      "entropy": 5.295432138442993,
+      "epoch": 5.687655343827672,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00025368565292116475,
+      "loss": 4.8225,
+      "mean_token_accuracy": 0.20177613645792009,
+      "num_tokens": 12512869.0,
+      "step": 6865
+    },
+    {
+      "entropy": 5.28051609992981,
+      "epoch": 5.691797845898923,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002533675553667927,
+      "loss": 4.8747,
+      "mean_token_accuracy": 0.19059171974658967,
+      "num_tokens": 12523222.0,
+      "step": 6870
+    },
+    {
+      "entropy": 5.24097170829773,
+      "epoch": 5.695940347970174,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00025304950144742523,
+      "loss": 4.7456,
+      "mean_token_accuracy": 0.20784133225679396,
+      "num_tokens": 12532343.0,
+      "step": 6875
+    },
+    {
+      "entropy": 5.255422782897949,
+      "epoch": 5.700082850041425,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002527314918046122,
+      "loss": 4.7467,
+      "mean_token_accuracy": 0.21441746652126312,
+      "num_tokens": 12541508.0,
+      "step": 6880
+    },
+    {
+      "entropy": 5.222242641448974,
+      "epoch": 5.704225352112676,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0002524135270798136,
+      "loss": 4.7731,
+      "mean_token_accuracy": 0.20265263617038726,
+      "num_tokens": 12550837.0,
+      "step": 6885
+    },
+    {
+      "entropy": 5.259101152420044,
+      "epoch": 5.708367854183927,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00025209560791439914,
+      "loss": 4.7223,
+      "mean_token_accuracy": 0.21348682641983033,
+      "num_tokens": 12559859.0,
+      "step": 6890
+    },
+    {
+      "entropy": 5.279586315155029,
+      "epoch": 5.712510356255178,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002517777349496465,
+      "loss": 4.8096,
+      "mean_token_accuracy": 0.20708946287631988,
+      "num_tokens": 12569137.0,
+      "step": 6895
+    },
+    {
+      "entropy": 5.332545948028565,
+      "epoch": 5.716652858326429,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002514599088267401,
+      "loss": 4.8391,
+      "mean_token_accuracy": 0.20370080918073655,
+      "num_tokens": 12578111.0,
+      "step": 6900
+    },
+    {
+      "entropy": 5.30065131187439,
+      "epoch": 5.72079536039768,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00025114213018677004,
+      "loss": 4.7826,
+      "mean_token_accuracy": 0.21398544907569886,
+      "num_tokens": 12587604.0,
+      "step": 6905
+    },
+    {
+      "entropy": 5.328654146194458,
+      "epoch": 5.7249378624689315,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002508243996707305,
+      "loss": 4.7982,
+      "mean_token_accuracy": 0.2033779114484787,
+      "num_tokens": 12596620.0,
+      "step": 6910
+    },
+    {
+      "entropy": 5.252767944335938,
+      "epoch": 5.729080364540183,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00025050671791951887,
+      "loss": 4.7682,
+      "mean_token_accuracy": 0.20568756759166718,
+      "num_tokens": 12605452.0,
+      "step": 6915
+    },
+    {
+      "entropy": 5.195128536224365,
+      "epoch": 5.733222866611433,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002501890855739337,
+      "loss": 4.6654,
+      "mean_token_accuracy": 0.22127037048339843,
+      "num_tokens": 12614009.0,
+      "step": 6920
+    },
+    {
+      "entropy": 5.287421989440918,
+      "epoch": 5.737365368682684,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00024987150327467414,
+      "loss": 4.8201,
+      "mean_token_accuracy": 0.2010796323418617,
+      "num_tokens": 12624135.0,
+      "step": 6925
+    },
+    {
+      "entropy": 5.221401596069336,
+      "epoch": 5.741507870753935,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024955397166233855,
+      "loss": 4.6474,
+      "mean_token_accuracy": 0.22327282428741455,
+      "num_tokens": 12632870.0,
+      "step": 6930
+    },
+    {
+      "entropy": 5.304728364944458,
+      "epoch": 5.745650372825186,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024923649137742276,
+      "loss": 4.8549,
+      "mean_token_accuracy": 0.1950896918773651,
+      "num_tokens": 12643606.0,
+      "step": 6935
+    },
+    {
+      "entropy": 5.385456705093384,
+      "epoch": 5.749792874896437,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0002489190630603194,
+      "loss": 4.8834,
+      "mean_token_accuracy": 0.20502226054668427,
+      "num_tokens": 12652926.0,
+      "step": 6940
+    },
+    {
+      "entropy": 5.331468009948731,
+      "epoch": 5.753935376967688,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002486016873513159,
+      "loss": 4.8219,
+      "mean_token_accuracy": 0.20297979861497878,
+      "num_tokens": 12661841.0,
+      "step": 6945
+    },
+    {
+      "entropy": 5.257536315917969,
+      "epoch": 5.7580778790389395,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002482843648905937,
+      "loss": 4.7409,
+      "mean_token_accuracy": 0.2069641500711441,
+      "num_tokens": 12670527.0,
+      "step": 6950
+    },
+    {
+      "entropy": 5.216205167770386,
+      "epoch": 5.762220381110191,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002479670963182271,
+      "loss": 4.7365,
+      "mean_token_accuracy": 0.19854751229286194,
+      "num_tokens": 12680346.0,
+      "step": 6955
+    },
+    {
+      "entropy": 5.315979433059693,
+      "epoch": 5.766362883181442,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00024764988227418114,
+      "loss": 4.8273,
+      "mean_token_accuracy": 0.20946504771709443,
+      "num_tokens": 12691088.0,
+      "step": 6960
+    },
+    {
+      "entropy": 5.343829536437989,
+      "epoch": 5.770505385252693,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002473327233983116,
+      "loss": 4.7894,
+      "mean_token_accuracy": 0.20746862143278122,
+      "num_tokens": 12700296.0,
+      "step": 6965
+    },
+    {
+      "entropy": 5.241484355926514,
+      "epoch": 5.774647887323944,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002470156203303622,
+      "loss": 4.7882,
+      "mean_token_accuracy": 0.20888512581586838,
+      "num_tokens": 12709595.0,
+      "step": 6970
+    },
+    {
+      "entropy": 5.276812028884888,
+      "epoch": 5.778790389395195,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0002466985737099649,
+      "loss": 4.838,
+      "mean_token_accuracy": 0.20352406352758406,
+      "num_tokens": 12719052.0,
+      "step": 6975
+    },
+    {
+      "entropy": 5.237840700149536,
+      "epoch": 5.782932891466446,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002463815841766371,
+      "loss": 4.7033,
+      "mean_token_accuracy": 0.21847177892923356,
+      "num_tokens": 12727287.0,
+      "step": 6980
+    },
+    {
+      "entropy": 5.252689790725708,
+      "epoch": 5.787075393537696,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002460646523697813,
+      "loss": 4.7649,
+      "mean_token_accuracy": 0.2055829644203186,
+      "num_tokens": 12736511.0,
+      "step": 6985
+    },
+    {
+      "entropy": 5.295902395248413,
+      "epoch": 5.7912178956089475,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00024574777892868386,
+      "loss": 4.7758,
+      "mean_token_accuracy": 0.20809024274349214,
+      "num_tokens": 12745597.0,
+      "step": 6990
+    },
+    {
+      "entropy": 5.260382986068725,
+      "epoch": 5.795360397680199,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00024543096449251286,
+      "loss": 4.6362,
+      "mean_token_accuracy": 0.221256822347641,
+      "num_tokens": 12753492.0,
+      "step": 6995
+    },
+    {
+      "entropy": 5.3082959175109865,
+      "epoch": 5.79950289975145,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002451142097003177,
+      "loss": 4.7765,
+      "mean_token_accuracy": 0.21173641979694366,
+      "num_tokens": 12761999.0,
+      "step": 7000
+    },
+    {
+      "epoch": 5.79950289975145,
+      "eval_entropy": 5.159527343473455,
+      "eval_loss": 5.7473931312561035,
+      "eval_mean_token_accuracy": 0.1656088415525361,
+      "eval_num_tokens": 12761999.0,
+      "eval_runtime": 2.7553,
+      "eval_samples_per_second": 1359.941,
+      "eval_steps_per_second": 170.219,
+      "step": 7000
+    },
+    {
+      "entropy": 5.250266122817993,
+      "epoch": 5.803645401822701,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002447975151910276,
+      "loss": 4.6884,
+      "mean_token_accuracy": 0.20662099421024321,
+      "num_tokens": 12770922.0,
+      "step": 7005
+    },
+    {
+      "entropy": 5.225958204269409,
+      "epoch": 5.807787903893952,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00024448088160344974,
+      "loss": 4.72,
+      "mean_token_accuracy": 0.2077726110816002,
+      "num_tokens": 12779539.0,
+      "step": 7010
+    },
+    {
+      "entropy": 5.266984176635742,
+      "epoch": 5.811930405965203,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002441643095762688,
+      "loss": 4.7539,
+      "mean_token_accuracy": 0.20866499096155167,
+      "num_tokens": 12788121.0,
+      "step": 7015
+    },
+    {
+      "entropy": 5.206212854385376,
+      "epoch": 5.816072908036454,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000243847799748045,
+      "loss": 4.6301,
+      "mean_token_accuracy": 0.21100328713655472,
+      "num_tokens": 12797390.0,
+      "step": 7020
+    },
+    {
+      "entropy": 5.249676036834717,
+      "epoch": 5.820215410107705,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00024353135275721356,
+      "loss": 4.8644,
+      "mean_token_accuracy": 0.19687919616699218,
+      "num_tokens": 12807876.0,
+      "step": 7025
+    },
+    {
+      "entropy": 5.184282016754151,
+      "epoch": 5.824357912178956,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00024321496924208235,
+      "loss": 4.6805,
+      "mean_token_accuracy": 0.2075910523533821,
+      "num_tokens": 12816496.0,
+      "step": 7030
+    },
+    {
+      "entropy": 5.282375478744507,
+      "epoch": 5.8285004142502075,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00024289864984083166,
+      "loss": 4.7571,
+      "mean_token_accuracy": 0.21421819925308228,
+      "num_tokens": 12825925.0,
+      "step": 7035
+    },
+    {
+      "entropy": 5.330373096466064,
+      "epoch": 5.832642916321458,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002425823951915122,
+      "loss": 4.776,
+      "mean_token_accuracy": 0.20406203866004943,
+      "num_tokens": 12835479.0,
+      "step": 7040
+    },
+    {
+      "entropy": 5.227119112014771,
+      "epoch": 5.836785418392709,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002422662059320442,
+      "loss": 4.6764,
+      "mean_token_accuracy": 0.2194245144724846,
+      "num_tokens": 12844024.0,
+      "step": 7045
+    },
+    {
+      "entropy": 5.242313861846924,
+      "epoch": 5.84092792046396,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00024195008270021595,
+      "loss": 4.6767,
+      "mean_token_accuracy": 0.21089302152395248,
+      "num_tokens": 12852673.0,
+      "step": 7050
+    },
+    {
+      "entropy": 5.168107366561889,
+      "epoch": 5.845070422535211,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00024163402613368252,
+      "loss": 4.7042,
+      "mean_token_accuracy": 0.21519682556390762,
+      "num_tokens": 12861191.0,
+      "step": 7055
+    },
+    {
+      "entropy": 5.273849678039551,
+      "epoch": 5.849212924606462,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00024131803686996457,
+      "loss": 4.8483,
+      "mean_token_accuracy": 0.20502860397100447,
+      "num_tokens": 12870874.0,
+      "step": 7060
+    },
+    {
+      "entropy": 5.314899635314942,
+      "epoch": 5.853355426677713,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00024100211554644696,
+      "loss": 4.7741,
+      "mean_token_accuracy": 0.21026002764701843,
+      "num_tokens": 12879896.0,
+      "step": 7065
+    },
+    {
+      "entropy": 5.297897291183472,
+      "epoch": 5.857497928748964,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00024068626280037753,
+      "loss": 4.786,
+      "mean_token_accuracy": 0.20807335823774337,
+      "num_tokens": 12888665.0,
+      "step": 7070
+    },
+    {
+      "entropy": 5.261636590957641,
+      "epoch": 5.8616404308202155,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00024037047926886578,
+      "loss": 4.7416,
+      "mean_token_accuracy": 0.20277187824249268,
+      "num_tokens": 12897477.0,
+      "step": 7075
+    },
+    {
+      "entropy": 5.251101160049439,
+      "epoch": 5.865782932891467,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024005476558888172,
+      "loss": 4.794,
+      "mean_token_accuracy": 0.2007831260561943,
+      "num_tokens": 12905934.0,
+      "step": 7080
+    },
+    {
+      "entropy": 5.255609798431396,
+      "epoch": 5.869925434962718,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002397391223972541,
+      "loss": 4.7929,
+      "mean_token_accuracy": 0.20374300181865693,
+      "num_tokens": 12915092.0,
+      "step": 7085
+    },
+    {
+      "entropy": 5.2630064487457275,
+      "epoch": 5.874067937033969,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00023942355033066993,
+      "loss": 4.8721,
+      "mean_token_accuracy": 0.19899580031633377,
+      "num_tokens": 12924775.0,
+      "step": 7090
+    },
+    {
+      "entropy": 5.329388093948364,
+      "epoch": 5.87821043910522,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00023910805002567244,
+      "loss": 4.7789,
+      "mean_token_accuracy": 0.2048063576221466,
+      "num_tokens": 12933677.0,
+      "step": 7095
+    },
+    {
+      "entropy": 5.261180973052978,
+      "epoch": 5.882352941176471,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002387926221186603,
+      "loss": 4.8017,
+      "mean_token_accuracy": 0.2079474300146103,
+      "num_tokens": 12942416.0,
+      "step": 7100
+    },
+    {
+      "entropy": 5.231311798095703,
+      "epoch": 5.886495443247721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00023847726724588608,
+      "loss": 4.7718,
+      "mean_token_accuracy": 0.21066755801439285,
+      "num_tokens": 12952284.0,
+      "step": 7105
+    },
+    {
+      "entropy": 5.278716087341309,
+      "epoch": 5.890637945318972,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002381619860434549,
+      "loss": 4.8123,
+      "mean_token_accuracy": 0.19911128133535386,
+      "num_tokens": 12960694.0,
+      "step": 7110
+    },
+    {
+      "entropy": 5.215971040725708,
+      "epoch": 5.894780447390223,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00023784677914732356,
+      "loss": 4.727,
+      "mean_token_accuracy": 0.20931341648101806,
+      "num_tokens": 12969138.0,
+      "step": 7115
+    },
+    {
+      "entropy": 5.292342042922973,
+      "epoch": 5.8989229494614746,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00023753164719329868,
+      "loss": 4.766,
+      "mean_token_accuracy": 0.20421497970819474,
+      "num_tokens": 12978518.0,
+      "step": 7120
+    },
+    {
+      "entropy": 5.309631299972534,
+      "epoch": 5.903065451532726,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00023721659081703595,
+      "loss": 4.7856,
+      "mean_token_accuracy": 0.2164353221654892,
+      "num_tokens": 12987506.0,
+      "step": 7125
+    },
+    {
+      "entropy": 5.2704308986663815,
+      "epoch": 5.907207953603977,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023690161065403838,
+      "loss": 4.7667,
+      "mean_token_accuracy": 0.20384967178106309,
+      "num_tokens": 12996259.0,
+      "step": 7130
+    },
+    {
+      "entropy": 5.284243488311768,
+      "epoch": 5.911350455675228,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002365867073396555,
+      "loss": 4.7914,
+      "mean_token_accuracy": 0.20621232688426971,
+      "num_tokens": 13005430.0,
+      "step": 7135
+    },
+    {
+      "entropy": 5.2192955493927,
+      "epoch": 5.915492957746479,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023627188150908174,
+      "loss": 4.7414,
+      "mean_token_accuracy": 0.21523537784814833,
+      "num_tokens": 13014915.0,
+      "step": 7140
+    },
+    {
+      "entropy": 5.267714023590088,
+      "epoch": 5.91963545981773,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00023595713379735494,
+      "loss": 4.7483,
+      "mean_token_accuracy": 0.20747244358062744,
+      "num_tokens": 13023471.0,
+      "step": 7145
+    },
+    {
+      "entropy": 5.29262957572937,
+      "epoch": 5.923777961888981,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00023564246483935602,
+      "loss": 4.7364,
+      "mean_token_accuracy": 0.20276205390691757,
+      "num_tokens": 13033270.0,
+      "step": 7150
+    },
+    {
+      "entropy": 5.26424388885498,
+      "epoch": 5.927920463960232,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002353278752698063,
+      "loss": 4.7029,
+      "mean_token_accuracy": 0.2120548114180565,
+      "num_tokens": 13043300.0,
+      "step": 7155
+    },
+    {
+      "entropy": 5.261445045471191,
+      "epoch": 5.9320629660314825,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002350133657232676,
+      "loss": 4.7627,
+      "mean_token_accuracy": 0.20174376368522645,
+      "num_tokens": 13052152.0,
+      "step": 7160
+    },
+    {
+      "entropy": 5.286171960830688,
+      "epoch": 5.9362054681027345,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002346989368341399,
+      "loss": 4.8033,
+      "mean_token_accuracy": 0.20869386494159697,
+      "num_tokens": 13061704.0,
+      "step": 7165
+    },
+    {
+      "entropy": 5.280704736709595,
+      "epoch": 5.940347970173985,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023438458923666057,
+      "loss": 4.7209,
+      "mean_token_accuracy": 0.2152332365512848,
+      "num_tokens": 13071055.0,
+      "step": 7170
+    },
+    {
+      "entropy": 5.268754768371582,
+      "epoch": 5.944490472245236,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002340703235649032,
+      "loss": 4.8331,
+      "mean_token_accuracy": 0.1926100879907608,
+      "num_tokens": 13080023.0,
+      "step": 7175
+    },
+    {
+      "entropy": 5.263068819046021,
+      "epoch": 5.948632974316487,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00023375614045277593,
+      "loss": 4.7536,
+      "mean_token_accuracy": 0.20691772699356079,
+      "num_tokens": 13088690.0,
+      "step": 7180
+    },
+    {
+      "entropy": 5.232177972793579,
+      "epoch": 5.952775476387738,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00023344204053402047,
+      "loss": 4.7377,
+      "mean_token_accuracy": 0.21229761391878127,
+      "num_tokens": 13097116.0,
+      "step": 7185
+    },
+    {
+      "entropy": 5.343814706802368,
+      "epoch": 5.956917978458989,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00023312802444221066,
+      "loss": 4.7995,
+      "mean_token_accuracy": 0.20769918113946914,
+      "num_tokens": 13106463.0,
+      "step": 7190
+    },
+    {
+      "entropy": 5.273978662490845,
+      "epoch": 5.96106048053024,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002328140928107511,
+      "loss": 4.7045,
+      "mean_token_accuracy": 0.21413260698318481,
+      "num_tokens": 13115769.0,
+      "step": 7195
+    },
+    {
+      "entropy": 5.293670988082885,
+      "epoch": 5.965202982601491,
+      "grad_norm": 1.6875,
+      "learning_rate": 0.0002325002462728766,
+      "loss": 4.8058,
+      "mean_token_accuracy": 0.20858496129512788,
+      "num_tokens": 13124928.0,
+      "step": 7200
+    },
+    {
+      "entropy": 5.264481544494629,
+      "epoch": 5.9693454846727425,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00023218648546164945,
+      "loss": 4.7587,
+      "mean_token_accuracy": 0.20816877782344817,
+      "num_tokens": 13134106.0,
+      "step": 7205
+    },
+    {
+      "entropy": 5.401337671279907,
+      "epoch": 5.973487986743994,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002318728110099599,
+      "loss": 4.9463,
+      "mean_token_accuracy": 0.19887659698724747,
+      "num_tokens": 13143019.0,
+      "step": 7210
+    },
+    {
+      "entropy": 5.267350912094116,
+      "epoch": 5.977630488815245,
+      "grad_norm": 1.625,
+      "learning_rate": 0.00023155922355052339,
+      "loss": 4.6633,
+      "mean_token_accuracy": 0.223431359231472,
+      "num_tokens": 13152675.0,
+      "step": 7215
+    },
+    {
+      "entropy": 5.256755113601685,
+      "epoch": 5.981772990886496,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00023124572371588,
+      "loss": 4.6968,
+      "mean_token_accuracy": 0.2141074687242508,
+      "num_tokens": 13161094.0,
+      "step": 7220
+    },
+    {
+      "entropy": 5.22665810585022,
+      "epoch": 5.985915492957746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00023093231213839344,
+      "loss": 4.7801,
+      "mean_token_accuracy": 0.2072029694914818,
+      "num_tokens": 13170858.0,
+      "step": 7225
+    },
+    {
+      "entropy": 5.248539400100708,
+      "epoch": 5.990057995028997,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002306189894502488,
+      "loss": 4.8402,
+      "mean_token_accuracy": 0.1976972222328186,
+      "num_tokens": 13179668.0,
+      "step": 7230
+    },
+    {
+      "entropy": 5.278863763809204,
+      "epoch": 5.994200497100248,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00023030575628345246,
+      "loss": 4.7021,
+      "mean_token_accuracy": 0.2132765233516693,
+      "num_tokens": 13188312.0,
+      "step": 7235
+    },
+    {
+      "entropy": 5.254744529724121,
+      "epoch": 5.998342999171499,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022999261326982985,
+      "loss": 4.7474,
+      "mean_token_accuracy": 0.20551027208566666,
+      "num_tokens": 13196989.0,
+      "step": 7240
+    },
+    {
+      "entropy": 5.215828323364258,
+      "epoch": 6.0024855012427505,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00022967956104102445,
+      "loss": 4.6371,
+      "mean_token_accuracy": 0.21983437091112137,
+      "num_tokens": 13205830.0,
+      "step": 7245
+    },
+    {
+      "entropy": 5.325025272369385,
+      "epoch": 6.006628003314002,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00022936660022849714,
+      "loss": 4.5948,
+      "mean_token_accuracy": 0.22821232080459594,
+      "num_tokens": 13214711.0,
+      "step": 7250
+    },
+    {
+      "entropy": 5.262428140640258,
+      "epoch": 6.010770505385253,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022905373146352382,
+      "loss": 4.6602,
+      "mean_token_accuracy": 0.21241429150104524,
+      "num_tokens": 13223736.0,
+      "step": 7255
+    },
+    {
+      "entropy": 5.257147979736328,
+      "epoch": 6.014913007456504,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002287409553771952,
+      "loss": 4.556,
+      "mean_token_accuracy": 0.22737590819597245,
+      "num_tokens": 13232666.0,
+      "step": 7260
+    },
+    {
+      "entropy": 5.291457891464233,
+      "epoch": 6.019055509527755,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00022842827260041455,
+      "loss": 4.5848,
+      "mean_token_accuracy": 0.21761821508407592,
+      "num_tokens": 13241770.0,
+      "step": 7265
+    },
+    {
+      "entropy": 5.261249971389771,
+      "epoch": 6.023198011599006,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00022811568376389745,
+      "loss": 4.5326,
+      "mean_token_accuracy": 0.22425681203603745,
+      "num_tokens": 13250475.0,
+      "step": 7270
+    },
+    {
+      "entropy": 5.233007001876831,
+      "epoch": 6.027340513670257,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00022780318949816963,
+      "loss": 4.5183,
+      "mean_token_accuracy": 0.22254440933465958,
+      "num_tokens": 13259587.0,
+      "step": 7275
+    },
+    {
+      "entropy": 5.216541528701782,
+      "epoch": 6.031483015741508,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00022749079043356623,
+      "loss": 4.5404,
+      "mean_token_accuracy": 0.23734405487775803,
+      "num_tokens": 13269681.0,
+      "step": 7280
+    },
+    {
+      "entropy": 5.211581516265869,
+      "epoch": 6.0356255178127585,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00022717848720023022,
+      "loss": 4.5539,
+      "mean_token_accuracy": 0.2277751386165619,
+      "num_tokens": 13278186.0,
+      "step": 7285
+    },
+    {
+      "entropy": 5.25051851272583,
+      "epoch": 6.03976801988401,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022686628042811142,
+      "loss": 4.6462,
+      "mean_token_accuracy": 0.21404165476560594,
+      "num_tokens": 13287194.0,
+      "step": 7290
+    },
+    {
+      "entropy": 5.334251356124878,
+      "epoch": 6.043910521955261,
+      "grad_norm": 1.375,
+      "learning_rate": 0.000226554170746965,
+      "loss": 4.6707,
+      "mean_token_accuracy": 0.21294027268886567,
+      "num_tokens": 13296774.0,
+      "step": 7295
+    },
+    {
+      "entropy": 5.338882112503052,
+      "epoch": 6.048053024026512,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00022624215878635023,
+      "loss": 4.5887,
+      "mean_token_accuracy": 0.21931985318660735,
+      "num_tokens": 13306368.0,
+      "step": 7300
+    },
+    {
+      "entropy": 5.310757160186768,
+      "epoch": 6.052195526097763,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00022593024517562945,
+      "loss": 4.5551,
+      "mean_token_accuracy": 0.22974174320697785,
+      "num_tokens": 13315393.0,
+      "step": 7305
+    },
+    {
+      "entropy": 5.216650152206421,
+      "epoch": 6.056338028169014,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022561843054396636,
+      "loss": 4.5496,
+      "mean_token_accuracy": 0.22554152607917785,
+      "num_tokens": 13324384.0,
+      "step": 7310
+    },
+    {
+      "entropy": 5.265720653533935,
+      "epoch": 6.060480530240265,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00022530671552032521,
+      "loss": 4.6095,
+      "mean_token_accuracy": 0.2231447860598564,
+      "num_tokens": 13333191.0,
+      "step": 7315
+    },
+    {
+      "entropy": 5.269006586074829,
+      "epoch": 6.064623032311516,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002249951007334693,
+      "loss": 4.6016,
+      "mean_token_accuracy": 0.21682012677192689,
+      "num_tokens": 13342911.0,
+      "step": 7320
+    },
+    {
+      "entropy": 5.313802003860474,
+      "epoch": 6.068765534382767,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00022468358681195966,
+      "loss": 4.5911,
+      "mean_token_accuracy": 0.2220294862985611,
+      "num_tokens": 13352464.0,
+      "step": 7325
+    },
+    {
+      "entropy": 5.279155349731445,
+      "epoch": 6.072908036454018,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00022437217438415393,
+      "loss": 4.5871,
+      "mean_token_accuracy": 0.22435862571001053,
+      "num_tokens": 13361812.0,
+      "step": 7330
+    },
+    {
+      "entropy": 5.328032398223877,
+      "epoch": 6.0770505385252696,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00022406086407820503,
+      "loss": 4.6541,
+      "mean_token_accuracy": 0.21680645495653153,
+      "num_tokens": 13372080.0,
+      "step": 7335
+    },
+    {
+      "entropy": 5.283897733688354,
+      "epoch": 6.081193040596521,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022374965652205975,
+      "loss": 4.6976,
+      "mean_token_accuracy": 0.20982298403978347,
+      "num_tokens": 13380897.0,
+      "step": 7340
+    },
+    {
+      "entropy": 5.338993167877197,
+      "epoch": 6.085335542667772,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022343855234345796,
+      "loss": 4.6891,
+      "mean_token_accuracy": 0.21388355493545533,
+      "num_tokens": 13389885.0,
+      "step": 7345
+    },
+    {
+      "entropy": 5.288727903366089,
+      "epoch": 6.089478044739022,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00022312755216993065,
+      "loss": 4.6211,
+      "mean_token_accuracy": 0.21839348524808883,
+      "num_tokens": 13399734.0,
+      "step": 7350
+    },
+    {
+      "entropy": 5.224732303619385,
+      "epoch": 6.093620546810273,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00022281665662879903,
+      "loss": 4.5653,
+      "mean_token_accuracy": 0.22080505937337874,
+      "num_tokens": 13408641.0,
+      "step": 7355
+    },
+    {
+      "entropy": 5.2608020305633545,
+      "epoch": 6.097763048881524,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00022250586634717362,
+      "loss": 4.6026,
+      "mean_token_accuracy": 0.21388103663921357,
+      "num_tokens": 13418585.0,
+      "step": 7360
+    },
+    {
+      "entropy": 5.244136095046997,
+      "epoch": 6.101905550952775,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00022219518195195216,
+      "loss": 4.5367,
+      "mean_token_accuracy": 0.22432616204023362,
+      "num_tokens": 13427897.0,
+      "step": 7365
+    },
+    {
+      "entropy": 5.131761312484741,
+      "epoch": 6.106048053024026,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00022188460406981925,
+      "loss": 4.4993,
+      "mean_token_accuracy": 0.22558098286390305,
+      "num_tokens": 13437311.0,
+      "step": 7370
+    },
+    {
+      "entropy": 5.284880685806274,
+      "epoch": 6.1101905550952775,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00022157413332724436,
+      "loss": 4.5608,
+      "mean_token_accuracy": 0.22710221409797668,
+      "num_tokens": 13446359.0,
+      "step": 7375
+    },
+    {
+      "entropy": 5.326997709274292,
+      "epoch": 6.114333057166529,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00022126377035048072,
+      "loss": 4.6056,
+      "mean_token_accuracy": 0.22011455297470092,
+      "num_tokens": 13455302.0,
+      "step": 7380
+    },
+    {
+      "entropy": 5.365768575668335,
+      "epoch": 6.11847555923778,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0002209535157655646,
+      "loss": 4.6937,
+      "mean_token_accuracy": 0.21688085198402404,
+      "num_tokens": 13466391.0,
+      "step": 7385
+    },
+    {
+      "entropy": 5.246037006378174,
+      "epoch": 6.122618061309031,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00022064337019831322,
+      "loss": 4.547,
+      "mean_token_accuracy": 0.22545033246278762,
+      "num_tokens": 13476130.0,
+      "step": 7390
+    },
+    {
+      "entropy": 5.183640670776367,
+      "epoch": 6.126760563380282,
+      "grad_norm": 1.6171875,
+      "learning_rate": 0.00022033333427432422,
+      "loss": 4.5326,
+      "mean_token_accuracy": 0.22769198417663575,
+      "num_tokens": 13485105.0,
+      "step": 7395
+    },
+    {
+      "entropy": 5.284799098968506,
+      "epoch": 6.130903065451533,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002200234086189738,
+      "loss": 4.5988,
+      "mean_token_accuracy": 0.21623703986406326,
+      "num_tokens": 13494914.0,
+      "step": 7400
+    },
+    {
+      "entropy": 5.291166830062866,
+      "epoch": 6.135045567522784,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00021971359385741608,
+      "loss": 4.6312,
+      "mean_token_accuracy": 0.21725507229566574,
+      "num_tokens": 13504293.0,
+      "step": 7405
+    },
+    {
+      "entropy": 5.350364637374878,
+      "epoch": 6.139188069594034,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00021940389061458115,
+      "loss": 4.6935,
+      "mean_token_accuracy": 0.22431259900331496,
+      "num_tokens": 13513972.0,
+      "step": 7410
+    },
+    {
+      "entropy": 5.278038835525512,
+      "epoch": 6.1433305716652855,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002190942995151743,
+      "loss": 4.6089,
+      "mean_token_accuracy": 0.2185722753405571,
+      "num_tokens": 13522508.0,
+      "step": 7415
+    },
+    {
+      "entropy": 5.296834516525268,
+      "epoch": 6.147473073736537,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0002187848211836746,
+      "loss": 4.53,
+      "mean_token_accuracy": 0.22915603816509247,
+      "num_tokens": 13531235.0,
+      "step": 7420
+    },
+    {
+      "entropy": 5.256722116470337,
+      "epoch": 6.151615575807788,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002184754562443337,
+      "loss": 4.5707,
+      "mean_token_accuracy": 0.22529171109199525,
+      "num_tokens": 13541023.0,
+      "step": 7425
+    },
+    {
+      "entropy": 5.217341756820678,
+      "epoch": 6.155758077879039,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00021816620532117448,
+      "loss": 4.5852,
+      "mean_token_accuracy": 0.2248647004365921,
+      "num_tokens": 13550622.0,
+      "step": 7430
+    },
+    {
+      "entropy": 5.230591440200806,
+      "epoch": 6.15990057995029,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002178570690379899,
+      "loss": 4.6031,
+      "mean_token_accuracy": 0.21641309708356857,
+      "num_tokens": 13559423.0,
+      "step": 7435
+    },
+    {
+      "entropy": 5.235513544082641,
+      "epoch": 6.164043082021541,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00021754804801834144,
+      "loss": 4.5917,
+      "mean_token_accuracy": 0.21699417978525162,
+      "num_tokens": 13569306.0,
+      "step": 7440
+    },
+    {
+      "entropy": 5.228752660751343,
+      "epoch": 6.168185584092792,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0002172391428855585,
+      "loss": 4.5366,
+      "mean_token_accuracy": 0.22735673934221268,
+      "num_tokens": 13578367.0,
+      "step": 7445
+    },
+    {
+      "entropy": 5.265543508529663,
+      "epoch": 6.172328086164043,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00021693035426273633,
+      "loss": 4.5986,
+      "mean_token_accuracy": 0.21967096477746964,
+      "num_tokens": 13586930.0,
+      "step": 7450
+    },
+    {
+      "entropy": 5.246473407745361,
+      "epoch": 6.176470588235294,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.00021662168277273547,
+      "loss": 4.5681,
+      "mean_token_accuracy": 0.22939085811376572,
+      "num_tokens": 13595891.0,
+      "step": 7455
+    },
+    {
+      "entropy": 5.319870328903198,
+      "epoch": 6.1806130903065455,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002163131290381799,
+      "loss": 4.6599,
+      "mean_token_accuracy": 0.20967274755239487,
+      "num_tokens": 13605786.0,
+      "step": 7460
+    },
+    {
+      "entropy": 5.238808870315552,
+      "epoch": 6.184755592377797,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00021600469368145624,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.2280669927597046,
+      "num_tokens": 13614561.0,
+      "step": 7465
+    },
+    {
+      "entropy": 5.226732301712036,
+      "epoch": 6.188898094449047,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002156963773247124,
+      "loss": 4.5554,
+      "mean_token_accuracy": 0.22617974877357483,
+      "num_tokens": 13622853.0,
+      "step": 7470
+    },
+    {
+      "entropy": 5.20526967048645,
+      "epoch": 6.193040596520298,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002153881805898561,
+      "loss": 4.5398,
+      "mean_token_accuracy": 0.22647101283073426,
+      "num_tokens": 13631709.0,
+      "step": 7475
+    },
+    {
+      "entropy": 5.293169021606445,
+      "epoch": 6.197183098591549,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.0002150801040985539,
+      "loss": 4.63,
+      "mean_token_accuracy": 0.21966254264116286,
+      "num_tokens": 13640854.0,
+      "step": 7480
+    },
+    {
+      "entropy": 5.218788433074951,
+      "epoch": 6.2013256006628,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00021477214847222958,
+      "loss": 4.5758,
+      "mean_token_accuracy": 0.21710532903671265,
+      "num_tokens": 13649318.0,
+      "step": 7485
+    },
+    {
+      "entropy": 5.315838146209717,
+      "epoch": 6.205468102734051,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00021446431433206348,
+      "loss": 4.6349,
+      "mean_token_accuracy": 0.22002605497837066,
+      "num_tokens": 13658738.0,
+      "step": 7490
+    },
+    {
+      "entropy": 5.187892484664917,
+      "epoch": 6.209610604805302,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002141566022989907,
+      "loss": 4.5484,
+      "mean_token_accuracy": 0.2262681856751442,
+      "num_tokens": 13667315.0,
+      "step": 7495
+    },
+    {
+      "entropy": 5.282585573196411,
+      "epoch": 6.2137531068765535,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002138490129936998,
+      "loss": 4.6721,
+      "mean_token_accuracy": 0.21348128467798233,
+      "num_tokens": 13676665.0,
+      "step": 7500
+    },
+    {
+      "epoch": 6.2137531068765535,
+      "eval_entropy": 5.127327098521088,
+      "eval_loss": 5.749592304229736,
+      "eval_mean_token_accuracy": 0.16626126474853772,
+      "eval_num_tokens": 13676665.0,
+      "eval_runtime": 2.7442,
+      "eval_samples_per_second": 1365.431,
+      "eval_steps_per_second": 170.907,
+      "step": 7500
+    },
+    {
+      "entropy": 5.220932197570801,
+      "epoch": 6.217895608947805,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0002135415470366323,
+      "loss": 4.6065,
+      "mean_token_accuracy": 0.21874047368764876,
+      "num_tokens": 13685774.0,
+      "step": 7505
+    },
+    {
+      "entropy": 5.261872863769531,
+      "epoch": 6.222038111019056,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00021323420504798047,
+      "loss": 4.6324,
+      "mean_token_accuracy": 0.21970156878232955,
+      "num_tokens": 13695700.0,
+      "step": 7510
+    },
+    {
+      "entropy": 5.301397752761841,
+      "epoch": 6.226180613090307,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021292698764768675,
+      "loss": 4.6432,
+      "mean_token_accuracy": 0.21851994693279267,
+      "num_tokens": 13704675.0,
+      "step": 7515
+    },
+    {
+      "entropy": 5.2542356014251705,
+      "epoch": 6.230323115161558,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00021261989545544218,
+      "loss": 4.6623,
+      "mean_token_accuracy": 0.22553315609693528,
+      "num_tokens": 13714562.0,
+      "step": 7520
+    },
+    {
+      "entropy": 5.318307209014892,
+      "epoch": 6.234465617232809,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00021231292909068534,
+      "loss": 4.6448,
+      "mean_token_accuracy": 0.22140212655067443,
+      "num_tokens": 13723917.0,
+      "step": 7525
+    },
+    {
+      "entropy": 5.254926586151123,
+      "epoch": 6.238608119304059,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00021200608917260082,
+      "loss": 4.5832,
+      "mean_token_accuracy": 0.22523251920938492,
+      "num_tokens": 13732482.0,
+      "step": 7530
+    },
+    {
+      "entropy": 5.272995328903198,
+      "epoch": 6.24275062137531,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00021169937632011838,
+      "loss": 4.6548,
+      "mean_token_accuracy": 0.2194363296031952,
+      "num_tokens": 13742110.0,
+      "step": 7535
+    },
+    {
+      "entropy": 5.238206005096435,
+      "epoch": 6.2468931234465614,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00021139279115191123,
+      "loss": 4.574,
+      "mean_token_accuracy": 0.21389349400997162,
+      "num_tokens": 13750501.0,
+      "step": 7540
+    },
+    {
+      "entropy": 5.236702632904053,
+      "epoch": 6.2510356255178126,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00021108633428639534,
+      "loss": 4.545,
+      "mean_token_accuracy": 0.22685909420251846,
+      "num_tokens": 13759786.0,
+      "step": 7545
+    },
+    {
+      "entropy": 5.279770469665527,
+      "epoch": 6.255178127589064,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002107800063417275,
+      "loss": 4.6241,
+      "mean_token_accuracy": 0.21795655339956282,
+      "num_tokens": 13768476.0,
+      "step": 7550
+    },
+    {
+      "entropy": 5.29005618095398,
+      "epoch": 6.259320629660315,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002104738079358048,
+      "loss": 4.6586,
+      "mean_token_accuracy": 0.20849181562662125,
+      "num_tokens": 13778721.0,
+      "step": 7555
+    },
+    {
+      "entropy": 5.281201648712158,
+      "epoch": 6.263463131731566,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002101677396862628,
+      "loss": 4.6196,
+      "mean_token_accuracy": 0.22399465888738632,
+      "num_tokens": 13787108.0,
+      "step": 7560
+    },
+    {
+      "entropy": 5.1881067752838135,
+      "epoch": 6.267605633802817,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00020986180221047463,
+      "loss": 4.5398,
+      "mean_token_accuracy": 0.23230253010988236,
+      "num_tokens": 13795021.0,
+      "step": 7565
+    },
+    {
+      "entropy": 5.190041732788086,
+      "epoch": 6.271748135874068,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00020955599612554966,
+      "loss": 4.5887,
+      "mean_token_accuracy": 0.2193624496459961,
+      "num_tokens": 13804750.0,
+      "step": 7570
+    },
+    {
+      "entropy": 5.2463373184204105,
+      "epoch": 6.275890637945319,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00020925032204833206,
+      "loss": 4.5784,
+      "mean_token_accuracy": 0.22109659761190414,
+      "num_tokens": 13813910.0,
+      "step": 7575
+    },
+    {
+      "entropy": 5.329188394546509,
+      "epoch": 6.28003314001657,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00020894478059539995,
+      "loss": 4.5427,
+      "mean_token_accuracy": 0.2241484045982361,
+      "num_tokens": 13822832.0,
+      "step": 7580
+    },
+    {
+      "entropy": 5.204854440689087,
+      "epoch": 6.284175642087821,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00020863937238306375,
+      "loss": 4.5541,
+      "mean_token_accuracy": 0.2280479699373245,
+      "num_tokens": 13831951.0,
+      "step": 7585
+    },
+    {
+      "entropy": 5.172011041641236,
+      "epoch": 6.2883181441590725,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00020833409802736535,
+      "loss": 4.524,
+      "mean_token_accuracy": 0.23316972702741623,
+      "num_tokens": 13840422.0,
+      "step": 7590
+    },
+    {
+      "entropy": 5.306167030334473,
+      "epoch": 6.292460646230323,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00020802895814407636,
+      "loss": 4.6365,
+      "mean_token_accuracy": 0.22030848115682602,
+      "num_tokens": 13850903.0,
+      "step": 7595
+    },
+    {
+      "entropy": 5.244341468811035,
+      "epoch": 6.296603148301574,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002077239533486972,
+      "loss": 4.6811,
+      "mean_token_accuracy": 0.20490736216306688,
+      "num_tokens": 13859972.0,
+      "step": 7600
+    },
+    {
+      "entropy": 5.235301160812378,
+      "epoch": 6.300745650372825,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00020741908425645606,
+      "loss": 4.658,
+      "mean_token_accuracy": 0.21515794545412065,
+      "num_tokens": 13868980.0,
+      "step": 7605
+    },
+    {
+      "entropy": 5.259301996231079,
+      "epoch": 6.304888152444076,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00020711435148230707,
+      "loss": 4.5874,
+      "mean_token_accuracy": 0.21832506507635116,
+      "num_tokens": 13877901.0,
+      "step": 7610
+    },
+    {
+      "entropy": 5.245576858520508,
+      "epoch": 6.309030654515327,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00020680975564092968,
+      "loss": 4.5697,
+      "mean_token_accuracy": 0.21962837278842925,
+      "num_tokens": 13887081.0,
+      "step": 7615
+    },
+    {
+      "entropy": 5.283494472503662,
+      "epoch": 6.313173156586578,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00020650529734672686,
+      "loss": 4.693,
+      "mean_token_accuracy": 0.21509333699941635,
+      "num_tokens": 13896645.0,
+      "step": 7620
+    },
+    {
+      "entropy": 5.340816831588745,
+      "epoch": 6.317315658657829,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00020620097721382424,
+      "loss": 4.6349,
+      "mean_token_accuracy": 0.21796356588602067,
+      "num_tokens": 13905975.0,
+      "step": 7625
+    },
+    {
+      "entropy": 5.3276678085327145,
+      "epoch": 6.3214581607290805,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0002058967958560689,
+      "loss": 4.6067,
+      "mean_token_accuracy": 0.22121513932943343,
+      "num_tokens": 13914605.0,
+      "step": 7630
+    },
+    {
+      "entropy": 5.256007862091065,
+      "epoch": 6.325600662800332,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00020559275388702775,
+      "loss": 4.5442,
+      "mean_token_accuracy": 0.23139581084251404,
+      "num_tokens": 13924592.0,
+      "step": 7635
+    },
+    {
+      "entropy": 5.187183284759522,
+      "epoch": 6.329743164871583,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00020528885191998682,
+      "loss": 4.5649,
+      "mean_token_accuracy": 0.22332944571971894,
+      "num_tokens": 13933513.0,
+      "step": 7640
+    },
+    {
+      "entropy": 5.1399694919586185,
+      "epoch": 6.333885666942834,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00020498509056794952,
+      "loss": 4.4652,
+      "mean_token_accuracy": 0.23895961940288543,
+      "num_tokens": 13942173.0,
+      "step": 7645
+    },
+    {
+      "entropy": 5.177120351791382,
+      "epoch": 6.338028169014084,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00020468147044363556,
+      "loss": 4.4955,
+      "mean_token_accuracy": 0.22771447747945786,
+      "num_tokens": 13950205.0,
+      "step": 7650
+    },
+    {
+      "entropy": 5.22398190498352,
+      "epoch": 6.342170671085335,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00020437799215948017,
+      "loss": 4.5753,
+      "mean_token_accuracy": 0.22749822586774826,
+      "num_tokens": 13958956.0,
+      "step": 7655
+    },
+    {
+      "entropy": 5.209628582000732,
+      "epoch": 6.346313173156586,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002040746563276319,
+      "loss": 4.5665,
+      "mean_token_accuracy": 0.22033885568380357,
+      "num_tokens": 13967718.0,
+      "step": 7660
+    },
+    {
+      "entropy": 5.235432434082031,
+      "epoch": 6.350455675227837,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00020377146355995257,
+      "loss": 4.6617,
+      "mean_token_accuracy": 0.21480744183063508,
+      "num_tokens": 13976841.0,
+      "step": 7665
+    },
+    {
+      "entropy": 5.287872982025147,
+      "epoch": 6.3545981772990885,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00020346841446801495,
+      "loss": 4.5404,
+      "mean_token_accuracy": 0.22639259397983552,
+      "num_tokens": 13984946.0,
+      "step": 7670
+    },
+    {
+      "entropy": 5.257662773132324,
+      "epoch": 6.35874067937034,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00020316550966310222,
+      "loss": 4.6067,
+      "mean_token_accuracy": 0.21685410737991334,
+      "num_tokens": 13993521.0,
+      "step": 7675
+    },
+    {
+      "entropy": 5.183994293212891,
+      "epoch": 6.362883181441591,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002028627497562065,
+      "loss": 4.5771,
+      "mean_token_accuracy": 0.2181665539741516,
+      "num_tokens": 14002777.0,
+      "step": 7680
+    },
+    {
+      "entropy": 5.246474266052246,
+      "epoch": 6.367025683512842,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00020256013535802748,
+      "loss": 4.6261,
+      "mean_token_accuracy": 0.21209287494421006,
+      "num_tokens": 14012708.0,
+      "step": 7685
+    },
+    {
+      "entropy": 5.28727445602417,
+      "epoch": 6.371168185584093,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002022576670789717,
+      "loss": 4.6394,
+      "mean_token_accuracy": 0.2155505269765854,
+      "num_tokens": 14021088.0,
+      "step": 7690
+    },
+    {
+      "entropy": 5.280440044403076,
+      "epoch": 6.375310687655344,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002019553455291505,
+      "loss": 4.6378,
+      "mean_token_accuracy": 0.21615593284368514,
+      "num_tokens": 14031650.0,
+      "step": 7695
+    },
+    {
+      "entropy": 5.240458631515503,
+      "epoch": 6.379453189726595,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002016531713183797,
+      "loss": 4.6676,
+      "mean_token_accuracy": 0.21988083124160768,
+      "num_tokens": 14040741.0,
+      "step": 7700
+    },
+    {
+      "entropy": 5.242792797088623,
+      "epoch": 6.383595691797846,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00020135114505617752,
+      "loss": 4.6373,
+      "mean_token_accuracy": 0.2093031659722328,
+      "num_tokens": 14049913.0,
+      "step": 7705
+    },
+    {
+      "entropy": 5.277075576782226,
+      "epoch": 6.387738193869097,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00020104926735176393,
+      "loss": 4.5918,
+      "mean_token_accuracy": 0.22735825777053834,
+      "num_tokens": 14059583.0,
+      "step": 7710
+    },
+    {
+      "entropy": 5.327569150924683,
+      "epoch": 6.391880695940348,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00020074753881405949,
+      "loss": 4.5526,
+      "mean_token_accuracy": 0.22584011256694794,
+      "num_tokens": 14067376.0,
+      "step": 7715
+    },
+    {
+      "entropy": 5.247530269622803,
+      "epoch": 6.396023198011599,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002004459600516833,
+      "loss": 4.6272,
+      "mean_token_accuracy": 0.22265007048845292,
+      "num_tokens": 14076415.0,
+      "step": 7720
+    },
+    {
+      "entropy": 5.252097845077515,
+      "epoch": 6.40016570008285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00020014453167295298,
+      "loss": 4.6191,
+      "mean_token_accuracy": 0.21771289706230162,
+      "num_tokens": 14085418.0,
+      "step": 7725
+    },
+    {
+      "entropy": 5.246077394485473,
+      "epoch": 6.404308202154101,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00019984325428588229,
+      "loss": 4.6022,
+      "mean_token_accuracy": 0.22459561228752137,
+      "num_tokens": 14094454.0,
+      "step": 7730
+    },
+    {
+      "entropy": 5.269437408447265,
+      "epoch": 6.408450704225352,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00019954212849818077,
+      "loss": 4.5397,
+      "mean_token_accuracy": 0.23432922810316087,
+      "num_tokens": 14103611.0,
+      "step": 7735
+    },
+    {
+      "entropy": 5.17622013092041,
+      "epoch": 6.412593206296603,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00019924115491725197,
+      "loss": 4.4661,
+      "mean_token_accuracy": 0.23387826085090638,
+      "num_tokens": 14112145.0,
+      "step": 7740
+    },
+    {
+      "entropy": 5.237372732162475,
+      "epoch": 6.416735708367854,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019894033415019253,
+      "loss": 4.6056,
+      "mean_token_accuracy": 0.2221802607178688,
+      "num_tokens": 14121215.0,
+      "step": 7745
+    },
+    {
+      "entropy": 5.171102142333984,
+      "epoch": 6.420878210439105,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019863966680379086,
+      "loss": 4.4967,
+      "mean_token_accuracy": 0.22152459472417832,
+      "num_tokens": 14130106.0,
+      "step": 7750
+    },
+    {
+      "entropy": 5.18139157295227,
+      "epoch": 6.4250207125103564,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0001983391534845258,
+      "loss": 4.5424,
+      "mean_token_accuracy": 0.2322377920150757,
+      "num_tokens": 14139071.0,
+      "step": 7755
+    },
+    {
+      "entropy": 5.224069595336914,
+      "epoch": 6.4291632145816076,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00019803879479856547,
+      "loss": 4.5974,
+      "mean_token_accuracy": 0.21825987547636033,
+      "num_tokens": 14148018.0,
+      "step": 7760
+    },
+    {
+      "entropy": 5.2009124755859375,
+      "epoch": 6.433305716652859,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019773859135176626,
+      "loss": 4.5285,
+      "mean_token_accuracy": 0.21998629420995713,
+      "num_tokens": 14156369.0,
+      "step": 7765
+    },
+    {
+      "entropy": 5.215542888641357,
+      "epoch": 6.43744821872411,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001974385437496713,
+      "loss": 4.6106,
+      "mean_token_accuracy": 0.21984836757183074,
+      "num_tokens": 14165930.0,
+      "step": 7770
+    },
+    {
+      "entropy": 5.2183332443237305,
+      "epoch": 6.44159072079536,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00019713865259750945,
+      "loss": 4.5777,
+      "mean_token_accuracy": 0.228591625392437,
+      "num_tokens": 14175557.0,
+      "step": 7775
+    },
+    {
+      "entropy": 5.288492584228516,
+      "epoch": 6.445733222866611,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019683891850019391,
+      "loss": 4.65,
+      "mean_token_accuracy": 0.2170352444052696,
+      "num_tokens": 14185532.0,
+      "step": 7780
+    },
+    {
+      "entropy": 5.372134733200073,
+      "epoch": 6.449875724937862,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00019653934206232098,
+      "loss": 4.7328,
+      "mean_token_accuracy": 0.21203465312719344,
+      "num_tokens": 14194307.0,
+      "step": 7785
+    },
+    {
+      "entropy": 5.317110586166382,
+      "epoch": 6.454018227009113,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00019623992388816935,
+      "loss": 4.6817,
+      "mean_token_accuracy": 0.22098743617534639,
+      "num_tokens": 14203900.0,
+      "step": 7790
+    },
+    {
+      "entropy": 5.264908695220948,
+      "epoch": 6.458160729080364,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0001959406645816979,
+      "loss": 4.604,
+      "mean_token_accuracy": 0.22145358771085738,
+      "num_tokens": 14213232.0,
+      "step": 7795
+    },
+    {
+      "entropy": 5.2155252456665036,
+      "epoch": 6.4623032311516155,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00019564156474654554,
+      "loss": 4.545,
+      "mean_token_accuracy": 0.21945291459560395,
+      "num_tokens": 14221365.0,
+      "step": 7800
+    },
+    {
+      "entropy": 5.183708381652832,
+      "epoch": 6.466445733222867,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00019534262498602928,
+      "loss": 4.5722,
+      "mean_token_accuracy": 0.21912614554166793,
+      "num_tokens": 14229878.0,
+      "step": 7805
+    },
+    {
+      "entropy": 5.247611427307129,
+      "epoch": 6.470588235294118,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00019504384590314318,
+      "loss": 4.6163,
+      "mean_token_accuracy": 0.21504329293966293,
+      "num_tokens": 14239132.0,
+      "step": 7810
+    },
+    {
+      "entropy": 5.27608289718628,
+      "epoch": 6.474730737365369,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.00019474522810055745,
+      "loss": 4.6315,
+      "mean_token_accuracy": 0.22245015799999238,
+      "num_tokens": 14247116.0,
+      "step": 7815
+    },
+    {
+      "entropy": 5.237215900421143,
+      "epoch": 6.47887323943662,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00019444677218061673,
+      "loss": 4.5876,
+      "mean_token_accuracy": 0.22378402203321457,
+      "num_tokens": 14255423.0,
+      "step": 7820
+    },
+    {
+      "entropy": 5.22880802154541,
+      "epoch": 6.483015741507871,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.0001941484787453393,
+      "loss": 4.5576,
+      "mean_token_accuracy": 0.22750293612480163,
+      "num_tokens": 14263836.0,
+      "step": 7825
+    },
+    {
+      "entropy": 5.1975545406341555,
+      "epoch": 6.487158243579122,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00019385034839641558,
+      "loss": 4.6818,
+      "mean_token_accuracy": 0.21816913187503814,
+      "num_tokens": 14273460.0,
+      "step": 7830
+    },
+    {
+      "entropy": 5.288527727127075,
+      "epoch": 6.491300745650372,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001935523817352071,
+      "loss": 4.6991,
+      "mean_token_accuracy": 0.21707435250282286,
+      "num_tokens": 14282925.0,
+      "step": 7835
+    },
+    {
+      "entropy": 5.283282852172851,
+      "epoch": 6.4954432477216235,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019325457936274516,
+      "loss": 4.5817,
+      "mean_token_accuracy": 0.22622769176959992,
+      "num_tokens": 14292059.0,
+      "step": 7840
+    },
+    {
+      "entropy": 5.274545192718506,
+      "epoch": 6.499585749792875,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00019295694187972955,
+      "loss": 4.6371,
+      "mean_token_accuracy": 0.2125675469636917,
+      "num_tokens": 14301276.0,
+      "step": 7845
+    },
+    {
+      "entropy": 5.247177505493164,
+      "epoch": 6.503728251864126,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019265946988652783,
+      "loss": 4.6386,
+      "mean_token_accuracy": 0.21370143294334412,
+      "num_tokens": 14310259.0,
+      "step": 7850
+    },
+    {
+      "entropy": 5.227504730224609,
+      "epoch": 6.507870753935377,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0001923621639831733,
+      "loss": 4.5105,
+      "mean_token_accuracy": 0.22504902780056,
+      "num_tokens": 14318782.0,
+      "step": 7855
+    },
+    {
+      "entropy": 5.173471689224243,
+      "epoch": 6.512013256006628,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00019206502476936467,
+      "loss": 4.4963,
+      "mean_token_accuracy": 0.23206298500299455,
+      "num_tokens": 14327571.0,
+      "step": 7860
+    },
+    {
+      "entropy": 5.135555934906006,
+      "epoch": 6.516155758077879,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00019176805284446414,
+      "loss": 4.5319,
+      "mean_token_accuracy": 0.23313156962394715,
+      "num_tokens": 14336974.0,
+      "step": 7865
+    },
+    {
+      "entropy": 5.291125202178955,
+      "epoch": 6.52029826014913,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00019147124880749633,
+      "loss": 4.6926,
+      "mean_token_accuracy": 0.218401962518692,
+      "num_tokens": 14346367.0,
+      "step": 7870
+    },
+    {
+      "entropy": 5.287627267837524,
+      "epoch": 6.524440762220381,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00019117461325714768,
+      "loss": 4.6304,
+      "mean_token_accuracy": 0.22132983505725862,
+      "num_tokens": 14355641.0,
+      "step": 7875
+    },
+    {
+      "entropy": 5.246808195114136,
+      "epoch": 6.528583264291632,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019087814679176436,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.22451686710119248,
+      "num_tokens": 14364927.0,
+      "step": 7880
+    },
+    {
+      "entropy": 5.234672212600708,
+      "epoch": 6.5327257663628835,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019058185000935175,
+      "loss": 4.5399,
+      "mean_token_accuracy": 0.22587109208106995,
+      "num_tokens": 14373370.0,
+      "step": 7885
+    },
+    {
+      "entropy": 5.254017162322998,
+      "epoch": 6.536868268434135,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00019028572350757278,
+      "loss": 4.6124,
+      "mean_token_accuracy": 0.21654532849788666,
+      "num_tokens": 14381820.0,
+      "step": 7890
+    },
+    {
+      "entropy": 5.2422840118408205,
+      "epoch": 6.541010770505386,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018998976788374682,
+      "loss": 4.5875,
+      "mean_token_accuracy": 0.21863880306482314,
+      "num_tokens": 14391158.0,
+      "step": 7895
+    },
+    {
+      "entropy": 5.201485252380371,
+      "epoch": 6.545153272576636,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00018969398373484898,
+      "loss": 4.6299,
+      "mean_token_accuracy": 0.21829961985349655,
+      "num_tokens": 14399945.0,
+      "step": 7900
+    },
+    {
+      "entropy": 5.200627136230469,
+      "epoch": 6.549295774647887,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00018939837165750796,
+      "loss": 4.5447,
+      "mean_token_accuracy": 0.22442623525857924,
+      "num_tokens": 14410275.0,
+      "step": 7905
+    },
+    {
+      "entropy": 5.29403018951416,
+      "epoch": 6.553438276719138,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00018910293224800584,
+      "loss": 4.6482,
+      "mean_token_accuracy": 0.2173393338918686,
+      "num_tokens": 14420369.0,
+      "step": 7910
+    },
+    {
+      "entropy": 5.291232109069824,
+      "epoch": 6.557580778790389,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00018880766610227608,
+      "loss": 4.6234,
+      "mean_token_accuracy": 0.22409190386533737,
+      "num_tokens": 14429078.0,
+      "step": 7915
+    },
+    {
+      "entropy": 5.234523487091065,
+      "epoch": 6.56172328086164,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018851257381590264,
+      "loss": 4.5824,
+      "mean_token_accuracy": 0.22088503539562226,
+      "num_tokens": 14438920.0,
+      "step": 7920
+    },
+    {
+      "entropy": 5.292790508270263,
+      "epoch": 6.5658657829328915,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018821765598411917,
+      "loss": 4.7699,
+      "mean_token_accuracy": 0.20645501464605331,
+      "num_tokens": 14449164.0,
+      "step": 7925
+    },
+    {
+      "entropy": 5.241003036499023,
+      "epoch": 6.570008285004143,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00018792291320180693,
+      "loss": 4.6977,
+      "mean_token_accuracy": 0.2070661887526512,
+      "num_tokens": 14459418.0,
+      "step": 7930
+    },
+    {
+      "entropy": 5.294680643081665,
+      "epoch": 6.574150787075394,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00018762834606349455,
+      "loss": 4.5906,
+      "mean_token_accuracy": 0.22685577124357223,
+      "num_tokens": 14468691.0,
+      "step": 7935
+    },
+    {
+      "entropy": 5.322669315338135,
+      "epoch": 6.578293289146645,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00018733395516335588,
+      "loss": 4.6731,
+      "mean_token_accuracy": 0.21569546610116958,
+      "num_tokens": 14477936.0,
+      "step": 7940
+    },
+    {
+      "entropy": 5.285602855682373,
+      "epoch": 6.582435791217896,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00018703974109520976,
+      "loss": 4.6442,
+      "mean_token_accuracy": 0.22226325422525406,
+      "num_tokens": 14487191.0,
+      "step": 7945
+    },
+    {
+      "entropy": 5.2095410346984865,
+      "epoch": 6.586578293289147,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018674570445251798,
+      "loss": 4.566,
+      "mean_token_accuracy": 0.2255881741642952,
+      "num_tokens": 14495731.0,
+      "step": 7950
+    },
+    {
+      "entropy": 5.200072622299194,
+      "epoch": 6.590720795360397,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018645184582838465,
+      "loss": 4.5668,
+      "mean_token_accuracy": 0.22047847658395767,
+      "num_tokens": 14505009.0,
+      "step": 7955
+    },
+    {
+      "entropy": 5.211784410476684,
+      "epoch": 6.594863297431648,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00018615816581555466,
+      "loss": 4.614,
+      "mean_token_accuracy": 0.21996732503175737,
+      "num_tokens": 14513843.0,
+      "step": 7960
+    },
+    {
+      "entropy": 5.188229322433472,
+      "epoch": 6.5990057995028994,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0001858646650064128,
+      "loss": 4.6074,
+      "mean_token_accuracy": 0.22044946551322936,
+      "num_tokens": 14523405.0,
+      "step": 7965
+    },
+    {
+      "entropy": 5.254159069061279,
+      "epoch": 6.603148301574151,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018557134399298215,
+      "loss": 4.6781,
+      "mean_token_accuracy": 0.21682086437940598,
+      "num_tokens": 14532615.0,
+      "step": 7970
+    },
+    {
+      "entropy": 5.2646036624908445,
+      "epoch": 6.607290803645402,
+      "grad_norm": 1.671875,
+      "learning_rate": 0.0001852782033669233,
+      "loss": 4.6101,
+      "mean_token_accuracy": 0.22458707094192504,
+      "num_tokens": 14541297.0,
+      "step": 7975
+    },
+    {
+      "entropy": 5.216501903533936,
+      "epoch": 6.611433305716653,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00018498524371953295,
+      "loss": 4.556,
+      "mean_token_accuracy": 0.22257563024759291,
+      "num_tokens": 14549867.0,
+      "step": 7980
+    },
+    {
+      "entropy": 5.22313437461853,
+      "epoch": 6.615575807787904,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018469246564174275,
+      "loss": 4.6508,
+      "mean_token_accuracy": 0.20906404107809068,
+      "num_tokens": 14558708.0,
+      "step": 7985
+    },
+    {
+      "entropy": 5.215989065170288,
+      "epoch": 6.619718309859155,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.000184399869724118,
+      "loss": 4.648,
+      "mean_token_accuracy": 0.21317926198244094,
+      "num_tokens": 14567917.0,
+      "step": 7990
+    },
+    {
+      "entropy": 5.194528484344483,
+      "epoch": 6.623860811930406,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00018410745655685662,
+      "loss": 4.5161,
+      "mean_token_accuracy": 0.23143290728330612,
+      "num_tokens": 14576417.0,
+      "step": 7995
+    },
+    {
+      "entropy": 5.19383282661438,
+      "epoch": 6.628003314001657,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00018381522672978806,
+      "loss": 4.5967,
+      "mean_token_accuracy": 0.2205110549926758,
+      "num_tokens": 14585172.0,
+      "step": 8000
+    },
+    {
+      "epoch": 6.628003314001657,
+      "eval_entropy": 5.144060653409978,
+      "eval_loss": 5.7370734214782715,
+      "eval_mean_token_accuracy": 0.1679431346020719,
+      "eval_num_tokens": 14585172.0,
+      "eval_runtime": 2.746,
+      "eval_samples_per_second": 1364.549,
+      "eval_steps_per_second": 170.796,
+      "step": 8000
+    },
+    {
+      "entropy": 5.2945750713348385,
+      "epoch": 6.632145816072908,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00018352318083237167,
+      "loss": 4.6209,
+      "mean_token_accuracy": 0.21357694566249846,
+      "num_tokens": 14593758.0,
+      "step": 8005
+    },
+    {
+      "entropy": 5.269504880905151,
+      "epoch": 6.636288318144159,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00018323131945369603,
+      "loss": 4.5957,
+      "mean_token_accuracy": 0.2212613955140114,
+      "num_tokens": 14602558.0,
+      "step": 8010
+    },
+    {
+      "entropy": 5.292761898040771,
+      "epoch": 6.6404308202154105,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00018293964318247735,
+      "loss": 4.5895,
+      "mean_token_accuracy": 0.22187672108411788,
+      "num_tokens": 14611463.0,
+      "step": 8015
+    },
+    {
+      "entropy": 5.268460607528686,
+      "epoch": 6.644573322286661,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00018264815260705863,
+      "loss": 4.6303,
+      "mean_token_accuracy": 0.22261828631162645,
+      "num_tokens": 14619951.0,
+      "step": 8020
+    },
+    {
+      "entropy": 5.312491035461425,
+      "epoch": 6.648715824357912,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00018235684831540826,
+      "loss": 4.6601,
+      "mean_token_accuracy": 0.2227204129099846,
+      "num_tokens": 14629332.0,
+      "step": 8025
+    },
+    {
+      "entropy": 5.215784406661987,
+      "epoch": 6.652858326429163,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018206573089511862,
+      "loss": 4.6116,
+      "mean_token_accuracy": 0.22559183984994888,
+      "num_tokens": 14639010.0,
+      "step": 8030
+    },
+    {
+      "entropy": 5.217174816131592,
+      "epoch": 6.657000828500414,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00018177480093340564,
+      "loss": 4.644,
+      "mean_token_accuracy": 0.2131648376584053,
+      "num_tokens": 14648507.0,
+      "step": 8035
+    },
+    {
+      "entropy": 5.26403660774231,
+      "epoch": 6.661143330571665,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0001814840590171065,
+      "loss": 4.6395,
+      "mean_token_accuracy": 0.216891747713089,
+      "num_tokens": 14657892.0,
+      "step": 8040
+    },
+    {
+      "entropy": 5.276500272750854,
+      "epoch": 6.665285832642916,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018119350573267979,
+      "loss": 4.5962,
+      "mean_token_accuracy": 0.22690920978784562,
+      "num_tokens": 14666460.0,
+      "step": 8045
+    },
+    {
+      "entropy": 5.25149884223938,
+      "epoch": 6.669428334714167,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018090314166620302,
+      "loss": 4.5902,
+      "mean_token_accuracy": 0.2189852774143219,
+      "num_tokens": 14675046.0,
+      "step": 8050
+    },
+    {
+      "entropy": 5.219921970367432,
+      "epoch": 6.6735708367854185,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018061296740337225,
+      "loss": 4.6258,
+      "mean_token_accuracy": 0.2165866807103157,
+      "num_tokens": 14685055.0,
+      "step": 8055
+    },
+    {
+      "entropy": 5.248022747039795,
+      "epoch": 6.67771333885667,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00018032298352950077,
+      "loss": 4.5972,
+      "mean_token_accuracy": 0.2188133031129837,
+      "num_tokens": 14695371.0,
+      "step": 8060
+    },
+    {
+      "entropy": 5.225955820083618,
+      "epoch": 6.681855840927921,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00018003319062951756,
+      "loss": 4.569,
+      "mean_token_accuracy": 0.2223624899983406,
+      "num_tokens": 14703671.0,
+      "step": 8065
+    },
+    {
+      "entropy": 5.195835924148559,
+      "epoch": 6.685998342999172,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00017974358928796682,
+      "loss": 4.5951,
+      "mean_token_accuracy": 0.22712722718715667,
+      "num_tokens": 14712527.0,
+      "step": 8070
+    },
+    {
+      "entropy": 5.231344604492188,
+      "epoch": 6.690140845070422,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00017945418008900594,
+      "loss": 4.6311,
+      "mean_token_accuracy": 0.22212356179952622,
+      "num_tokens": 14720711.0,
+      "step": 8075
+    },
+    {
+      "entropy": 5.25670371055603,
+      "epoch": 6.694283347141674,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0001791649636164049,
+      "loss": 4.6664,
+      "mean_token_accuracy": 0.21566284000873565,
+      "num_tokens": 14729667.0,
+      "step": 8080
+    },
+    {
+      "entropy": 5.32373685836792,
+      "epoch": 6.698425849212924,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000178875940453545,
+      "loss": 4.612,
+      "mean_token_accuracy": 0.2260928839445114,
+      "num_tokens": 14738614.0,
+      "step": 8085
+    },
+    {
+      "entropy": 5.285801553726197,
+      "epoch": 6.702568351284175,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00017858711118341742,
+      "loss": 4.611,
+      "mean_token_accuracy": 0.22119891494512559,
+      "num_tokens": 14747724.0,
+      "step": 8090
+    },
+    {
+      "entropy": 5.189185285568238,
+      "epoch": 6.7067108533554265,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00017829847638862255,
+      "loss": 4.5783,
+      "mean_token_accuracy": 0.22308655232191085,
+      "num_tokens": 14757436.0,
+      "step": 8095
+    },
+    {
+      "entropy": 5.163452911376953,
+      "epoch": 6.710853355426678,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00017801003665136823,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.22859434187412261,
+      "num_tokens": 14765948.0,
+      "step": 8100
+    },
+    {
+      "entropy": 5.2175110340118405,
+      "epoch": 6.714995857497929,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00017772179255346883,
+      "loss": 4.5924,
+      "mean_token_accuracy": 0.21859526336193086,
+      "num_tokens": 14775397.0,
+      "step": 8105
+    },
+    {
+      "entropy": 5.2649805545806885,
+      "epoch": 6.71913835956918,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00017743374467634433,
+      "loss": 4.5547,
+      "mean_token_accuracy": 0.22480292171239852,
+      "num_tokens": 14783605.0,
+      "step": 8110
+    },
+    {
+      "entropy": 5.262083387374878,
+      "epoch": 6.723280861640431,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00017714589360101862,
+      "loss": 4.6719,
+      "mean_token_accuracy": 0.2111577272415161,
+      "num_tokens": 14792210.0,
+      "step": 8115
+    },
+    {
+      "entropy": 5.165537548065186,
+      "epoch": 6.727423363711682,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000176858239908119,
+      "loss": 4.5663,
+      "mean_token_accuracy": 0.21831904202699662,
+      "num_tokens": 14801186.0,
+      "step": 8120
+    },
+    {
+      "entropy": 5.171479225158691,
+      "epoch": 6.731565865782933,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00017657078417787414,
+      "loss": 4.5126,
+      "mean_token_accuracy": 0.2303812935948372,
+      "num_tokens": 14810100.0,
+      "step": 8125
+    },
+    {
+      "entropy": 5.1626139163970945,
+      "epoch": 6.735708367854184,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017628352699011396,
+      "loss": 4.4932,
+      "mean_token_accuracy": 0.22342629581689835,
+      "num_tokens": 14819335.0,
+      "step": 8130
+    },
+    {
+      "entropy": 5.184713125228882,
+      "epoch": 6.739850869925435,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001759964689242674,
+      "loss": 4.6115,
+      "mean_token_accuracy": 0.22678097039461137,
+      "num_tokens": 14828686.0,
+      "step": 8135
+    },
+    {
+      "entropy": 5.233674144744873,
+      "epoch": 6.743993371996686,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001757096105593619,
+      "loss": 4.6202,
+      "mean_token_accuracy": 0.21709106266498565,
+      "num_tokens": 14838312.0,
+      "step": 8140
+    },
+    {
+      "entropy": 5.149096870422364,
+      "epoch": 6.748135874067937,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00017542295247402234,
+      "loss": 4.5595,
+      "mean_token_accuracy": 0.22249870449304582,
+      "num_tokens": 14846838.0,
+      "step": 8145
+    },
+    {
+      "entropy": 5.202677154541016,
+      "epoch": 6.752278376139188,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00017513649524646919,
+      "loss": 4.6182,
+      "mean_token_accuracy": 0.21352985352277756,
+      "num_tokens": 14857427.0,
+      "step": 8150
+    },
+    {
+      "entropy": 5.231053304672241,
+      "epoch": 6.756420878210439,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001748502394545181,
+      "loss": 4.6142,
+      "mean_token_accuracy": 0.2143697887659073,
+      "num_tokens": 14866244.0,
+      "step": 8155
+    },
+    {
+      "entropy": 5.2318687915802,
+      "epoch": 6.76056338028169,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001745641856755783,
+      "loss": 4.6272,
+      "mean_token_accuracy": 0.2168770670890808,
+      "num_tokens": 14875697.0,
+      "step": 8160
+    },
+    {
+      "entropy": 5.213436222076416,
+      "epoch": 6.764705882352941,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00017427833448665136,
+      "loss": 4.6431,
+      "mean_token_accuracy": 0.22060779482126236,
+      "num_tokens": 14884650.0,
+      "step": 8165
+    },
+    {
+      "entropy": 5.221727609634399,
+      "epoch": 6.768848384424192,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00017399268646433065,
+      "loss": 4.5726,
+      "mean_token_accuracy": 0.22035471200942994,
+      "num_tokens": 14894058.0,
+      "step": 8170
+    },
+    {
+      "entropy": 5.291379785537719,
+      "epoch": 6.772990886495443,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00017370724218479912,
+      "loss": 4.6928,
+      "mean_token_accuracy": 0.21716551035642623,
+      "num_tokens": 14903219.0,
+      "step": 8175
+    },
+    {
+      "entropy": 5.280435705184937,
+      "epoch": 6.7771333885666944,
+      "grad_norm": 1.5234375,
+      "learning_rate": 0.00017342200222382934,
+      "loss": 4.6104,
+      "mean_token_accuracy": 0.21606069803237915,
+      "num_tokens": 14913051.0,
+      "step": 8180
+    },
+    {
+      "entropy": 5.284905195236206,
+      "epoch": 6.781275890637946,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00017313696715678134,
+      "loss": 4.6263,
+      "mean_token_accuracy": 0.2211444079875946,
+      "num_tokens": 14921777.0,
+      "step": 8185
+    },
+    {
+      "entropy": 5.336038494110108,
+      "epoch": 6.785418392709197,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.000172852137558602,
+      "loss": 4.7612,
+      "mean_token_accuracy": 0.20792590975761413,
+      "num_tokens": 14931558.0,
+      "step": 8190
+    },
+    {
+      "entropy": 5.2495917797088625,
+      "epoch": 6.789560894780448,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00017256751400382384,
+      "loss": 4.6749,
+      "mean_token_accuracy": 0.2186842069029808,
+      "num_tokens": 14940584.0,
+      "step": 8195
+    },
+    {
+      "entropy": 5.260048294067383,
+      "epoch": 6.793703396851699,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00017228309706656354,
+      "loss": 4.6003,
+      "mean_token_accuracy": 0.2234319806098938,
+      "num_tokens": 14950830.0,
+      "step": 8200
+    },
+    {
+      "entropy": 5.309694099426269,
+      "epoch": 6.797845898922949,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001719988873205213,
+      "loss": 4.6046,
+      "mean_token_accuracy": 0.2206121563911438,
+      "num_tokens": 14958990.0,
+      "step": 8205
+    },
+    {
+      "entropy": 5.258207225799561,
+      "epoch": 6.8019884009942,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00017171488533897916,
+      "loss": 4.6389,
+      "mean_token_accuracy": 0.216607928276062,
+      "num_tokens": 14967451.0,
+      "step": 8210
+    },
+    {
+      "entropy": 5.220820093154908,
+      "epoch": 6.806130903065451,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00017143109169480005,
+      "loss": 4.5703,
+      "mean_token_accuracy": 0.2230973109602928,
+      "num_tokens": 14976157.0,
+      "step": 8215
+    },
+    {
+      "entropy": 5.277642917633057,
+      "epoch": 6.810273405136702,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017114750696042695,
+      "loss": 4.6916,
+      "mean_token_accuracy": 0.211100971698761,
+      "num_tokens": 14985591.0,
+      "step": 8220
+    },
+    {
+      "entropy": 5.277077102661133,
+      "epoch": 6.8144159072079535,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00017086413170788107,
+      "loss": 4.5868,
+      "mean_token_accuracy": 0.22545621395111085,
+      "num_tokens": 14994513.0,
+      "step": 8225
+    },
+    {
+      "entropy": 5.249056625366211,
+      "epoch": 6.818558409279205,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00017058096650876143,
+      "loss": 4.6555,
+      "mean_token_accuracy": 0.21752652078866958,
+      "num_tokens": 15003252.0,
+      "step": 8230
+    },
+    {
+      "entropy": 5.268651342391967,
+      "epoch": 6.822700911350456,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017029801193424313,
+      "loss": 4.5678,
+      "mean_token_accuracy": 0.21832710206508638,
+      "num_tokens": 15012342.0,
+      "step": 8235
+    },
+    {
+      "entropy": 5.17280683517456,
+      "epoch": 6.826843413421707,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017001526855507632,
+      "loss": 4.5248,
+      "mean_token_accuracy": 0.22667909115552903,
+      "num_tokens": 15021336.0,
+      "step": 8240
+    },
+    {
+      "entropy": 5.232009410858154,
+      "epoch": 6.830985915492958,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00016973273694158555,
+      "loss": 4.5752,
+      "mean_token_accuracy": 0.21583533883094788,
+      "num_tokens": 15031016.0,
+      "step": 8245
+    },
+    {
+      "entropy": 5.281693077087402,
+      "epoch": 6.835128417564209,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00016945041766366773,
+      "loss": 4.5846,
+      "mean_token_accuracy": 0.22162794917821885,
+      "num_tokens": 15039181.0,
+      "step": 8250
+    },
+    {
+      "entropy": 5.255547618865966,
+      "epoch": 6.83927091963546,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00016916831129079187,
+      "loss": 4.647,
+      "mean_token_accuracy": 0.2128545254468918,
+      "num_tokens": 15048563.0,
+      "step": 8255
+    },
+    {
+      "entropy": 5.248698711395264,
+      "epoch": 6.84341342170671,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001688864183919973,
+      "loss": 4.5936,
+      "mean_token_accuracy": 0.22442127764225006,
+      "num_tokens": 15056960.0,
+      "step": 8260
+    },
+    {
+      "entropy": 5.307019329071045,
+      "epoch": 6.8475559237779615,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00016860473953589266,
+      "loss": 4.6347,
+      "mean_token_accuracy": 0.21388418227434158,
+      "num_tokens": 15065645.0,
+      "step": 8265
+    },
+    {
+      "entropy": 5.223530387878418,
+      "epoch": 6.851698425849213,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00016832327529065522,
+      "loss": 4.5822,
+      "mean_token_accuracy": 0.22318441718816756,
+      "num_tokens": 15074544.0,
+      "step": 8270
+    },
+    {
+      "entropy": 5.267363739013672,
+      "epoch": 6.855840927920464,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001680420262240289,
+      "loss": 4.6343,
+      "mean_token_accuracy": 0.21753862798213958,
+      "num_tokens": 15083543.0,
+      "step": 8275
+    },
+    {
+      "entropy": 5.204693603515625,
+      "epoch": 6.859983429991715,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00016776099290332397,
+      "loss": 4.6145,
+      "mean_token_accuracy": 0.2235179975628853,
+      "num_tokens": 15092291.0,
+      "step": 8280
+    },
+    {
+      "entropy": 5.3212086200714115,
+      "epoch": 6.864125932062966,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00016748017589541525,
+      "loss": 4.6697,
+      "mean_token_accuracy": 0.2193456619977951,
+      "num_tokens": 15100875.0,
+      "step": 8285
+    },
+    {
+      "entropy": 5.275527429580689,
+      "epoch": 6.868268434134217,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0001671995757667414,
+      "loss": 4.6246,
+      "mean_token_accuracy": 0.22207115739583969,
+      "num_tokens": 15111385.0,
+      "step": 8290
+    },
+    {
+      "entropy": 5.325754880905151,
+      "epoch": 6.872410936205468,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00016691919308330343,
+      "loss": 4.6412,
+      "mean_token_accuracy": 0.2226441338658333,
+      "num_tokens": 15121153.0,
+      "step": 8295
+    },
+    {
+      "entropy": 5.278840351104736,
+      "epoch": 6.876553438276719,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00016663902841066404,
+      "loss": 4.6258,
+      "mean_token_accuracy": 0.21953531950712205,
+      "num_tokens": 15130132.0,
+      "step": 8300
+    },
+    {
+      "entropy": 5.229125213623047,
+      "epoch": 6.88069594034797,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00016635908231394587,
+      "loss": 4.6111,
+      "mean_token_accuracy": 0.2153362438082695,
+      "num_tokens": 15138878.0,
+      "step": 8305
+    },
+    {
+      "entropy": 5.198756742477417,
+      "epoch": 6.8848384424192215,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0001660793553578307,
+      "loss": 4.6868,
+      "mean_token_accuracy": 0.20835813581943513,
+      "num_tokens": 15148727.0,
+      "step": 8310
+    },
+    {
+      "entropy": 5.257393503189087,
+      "epoch": 6.888980944490473,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00016579984810655856,
+      "loss": 4.6404,
+      "mean_token_accuracy": 0.21736776530742646,
+      "num_tokens": 15158107.0,
+      "step": 8315
+    },
+    {
+      "entropy": 5.275184488296508,
+      "epoch": 6.893123446561724,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00016552056112392594,
+      "loss": 4.6178,
+      "mean_token_accuracy": 0.21456918865442276,
+      "num_tokens": 15168101.0,
+      "step": 8320
+    },
+    {
+      "entropy": 5.249782991409302,
+      "epoch": 6.897265948632974,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0001652414949732854,
+      "loss": 4.5573,
+      "mean_token_accuracy": 0.22505220770835876,
+      "num_tokens": 15176376.0,
+      "step": 8325
+    },
+    {
+      "entropy": 5.2404684066772464,
+      "epoch": 6.901408450704225,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00016496265021754365,
+      "loss": 4.5925,
+      "mean_token_accuracy": 0.2170558288693428,
+      "num_tokens": 15184936.0,
+      "step": 8330
+    },
+    {
+      "entropy": 5.271342658996582,
+      "epoch": 6.905550952775476,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00016468402741916124,
+      "loss": 4.6586,
+      "mean_token_accuracy": 0.22344124019145967,
+      "num_tokens": 15194846.0,
+      "step": 8335
+    },
+    {
+      "entropy": 5.263687086105347,
+      "epoch": 6.909693454846727,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001644056271401506,
+      "loss": 4.6187,
+      "mean_token_accuracy": 0.22206373363733292,
+      "num_tokens": 15204543.0,
+      "step": 8340
+    },
+    {
+      "entropy": 5.221840810775757,
+      "epoch": 6.913835956917978,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00016412744994207573,
+      "loss": 4.5897,
+      "mean_token_accuracy": 0.215163554251194,
+      "num_tokens": 15213459.0,
+      "step": 8345
+    },
+    {
+      "entropy": 5.209072399139404,
+      "epoch": 6.9179784589892295,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00016384949638605025,
+      "loss": 4.6864,
+      "mean_token_accuracy": 0.20790564268827438,
+      "num_tokens": 15223841.0,
+      "step": 8350
+    },
+    {
+      "entropy": 5.225527238845825,
+      "epoch": 6.922120961060481,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00016357176703273696,
+      "loss": 4.6187,
+      "mean_token_accuracy": 0.22101123183965682,
+      "num_tokens": 15233594.0,
+      "step": 8355
+    },
+    {
+      "entropy": 5.251284885406494,
+      "epoch": 6.926263463131732,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0001632942624423463,
+      "loss": 4.5643,
+      "mean_token_accuracy": 0.22933652848005295,
+      "num_tokens": 15242876.0,
+      "step": 8360
+    },
+    {
+      "entropy": 5.297107553482055,
+      "epoch": 6.930405965202983,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00016301698317463525,
+      "loss": 4.6565,
+      "mean_token_accuracy": 0.2228442072868347,
+      "num_tokens": 15251581.0,
+      "step": 8365
+    },
+    {
+      "entropy": 5.252490663528443,
+      "epoch": 6.934548467274234,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00016273992978890658,
+      "loss": 4.5084,
+      "mean_token_accuracy": 0.22431502342224122,
+      "num_tokens": 15260601.0,
+      "step": 8370
+    },
+    {
+      "entropy": 5.232750654220581,
+      "epoch": 6.938690969345485,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001624631028440071,
+      "loss": 4.5322,
+      "mean_token_accuracy": 0.22127106189727783,
+      "num_tokens": 15270123.0,
+      "step": 8375
+    },
+    {
+      "entropy": 5.301280069351196,
+      "epoch": 6.942833471416735,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0001621865028983271,
+      "loss": 4.6664,
+      "mean_token_accuracy": 0.2162109360098839,
+      "num_tokens": 15278623.0,
+      "step": 8380
+    },
+    {
+      "entropy": 5.187017822265625,
+      "epoch": 6.946975973487987,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001619101305097988,
+      "loss": 4.569,
+      "mean_token_accuracy": 0.22274162173271178,
+      "num_tokens": 15287789.0,
+      "step": 8385
+    },
+    {
+      "entropy": 5.105927991867065,
+      "epoch": 6.9511184755592375,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.00016163398623589563,
+      "loss": 4.5276,
+      "mean_token_accuracy": 0.23134084939956664,
+      "num_tokens": 15296266.0,
+      "step": 8390
+    },
+    {
+      "entropy": 5.268940114974976,
+      "epoch": 6.955260977630489,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00016135807063363074,
+      "loss": 4.6269,
+      "mean_token_accuracy": 0.21198562532663345,
+      "num_tokens": 15304785.0,
+      "step": 8395
+    },
+    {
+      "entropy": 5.171991634368896,
+      "epoch": 6.95940347970174,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00016108238425955584,
+      "loss": 4.5327,
+      "mean_token_accuracy": 0.22577450573444366,
+      "num_tokens": 15313727.0,
+      "step": 8400
+    },
+    {
+      "entropy": 5.254316186904907,
+      "epoch": 6.963545981772991,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0001608069276697608,
+      "loss": 4.7158,
+      "mean_token_accuracy": 0.21332326233386995,
+      "num_tokens": 15322911.0,
+      "step": 8405
+    },
+    {
+      "entropy": 5.300360822677613,
+      "epoch": 6.967688483844242,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001605317014198714,
+      "loss": 4.6163,
+      "mean_token_accuracy": 0.22070427536964415,
+      "num_tokens": 15330882.0,
+      "step": 8410
+    },
+    {
+      "entropy": 5.221141958236695,
+      "epoch": 6.971830985915493,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00016025670606504926,
+      "loss": 4.523,
+      "mean_token_accuracy": 0.22398052662611007,
+      "num_tokens": 15339915.0,
+      "step": 8415
+    },
+    {
+      "entropy": 5.213225173950195,
+      "epoch": 6.975973487986744,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001599819421599899,
+      "loss": 4.5878,
+      "mean_token_accuracy": 0.21864742040634155,
+      "num_tokens": 15348181.0,
+      "step": 8420
+    },
+    {
+      "entropy": 5.188560724258423,
+      "epoch": 6.980115990057995,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00015970741025892233,
+      "loss": 4.5452,
+      "mean_token_accuracy": 0.2271549642086029,
+      "num_tokens": 15357128.0,
+      "step": 8425
+    },
+    {
+      "entropy": 5.209831953048706,
+      "epoch": 6.984258492129246,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00015943311091560721,
+      "loss": 4.6538,
+      "mean_token_accuracy": 0.22213561683893204,
+      "num_tokens": 15366878.0,
+      "step": 8430
+    },
+    {
+      "entropy": 5.3097316265106205,
+      "epoch": 6.988400994200497,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00015915904468333635,
+      "loss": 4.5939,
+      "mean_token_accuracy": 0.22847030758857728,
+      "num_tokens": 15376101.0,
+      "step": 8435
+    },
+    {
+      "entropy": 5.18035774230957,
+      "epoch": 6.9925434962717485,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00015888521211493135,
+      "loss": 4.5421,
+      "mean_token_accuracy": 0.21641024351119995,
+      "num_tokens": 15384942.0,
+      "step": 8440
+    },
+    {
+      "entropy": 5.193719911575317,
+      "epoch": 6.996685998342999,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001586116137627423,
+      "loss": 4.5648,
+      "mean_token_accuracy": 0.22552343606948852,
+      "num_tokens": 15394380.0,
+      "step": 8445
+    },
+    {
+      "entropy": 5.28035192489624,
+      "epoch": 7.00082850041425,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00015833825017864711,
+      "loss": 4.4966,
+      "mean_token_accuracy": 0.23881841003894805,
+      "num_tokens": 15402180.0,
+      "step": 8450
+    },
+    {
+      "entropy": 5.25820837020874,
+      "epoch": 7.004971002485501,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00015806512191405,
+      "loss": 4.5534,
+      "mean_token_accuracy": 0.22912415564060212,
+      "num_tokens": 15411434.0,
+      "step": 8455
+    },
+    {
+      "entropy": 5.271618843078613,
+      "epoch": 7.009113504556752,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0001577922295198803,
+      "loss": 4.4939,
+      "mean_token_accuracy": 0.2291717991232872,
+      "num_tokens": 15419905.0,
+      "step": 8460
+    },
+    {
+      "entropy": 5.211508417129517,
+      "epoch": 7.013256006628003,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00015751957354659206,
+      "loss": 4.5173,
+      "mean_token_accuracy": 0.22768738716840745,
+      "num_tokens": 15429200.0,
+      "step": 8465
+    },
+    {
+      "entropy": 5.230689239501953,
+      "epoch": 7.017398508699254,
+      "grad_norm": 1.7734375,
+      "learning_rate": 0.00015724715454416206,
+      "loss": 4.5014,
+      "mean_token_accuracy": 0.23492475599050522,
+      "num_tokens": 15439328.0,
+      "step": 8470
+    },
+    {
+      "entropy": 5.239945983886718,
+      "epoch": 7.021541010770505,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00015697497306208926,
+      "loss": 4.449,
+      "mean_token_accuracy": 0.23373402953147887,
+      "num_tokens": 15447739.0,
+      "step": 8475
+    },
+    {
+      "entropy": 5.2335375308990475,
+      "epoch": 7.0256835128417565,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001567030296493934,
+      "loss": 4.4117,
+      "mean_token_accuracy": 0.2391123041510582,
+      "num_tokens": 15456598.0,
+      "step": 8480
+    },
+    {
+      "entropy": 5.264567565917969,
+      "epoch": 7.029826014913008,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00015643132485461395,
+      "loss": 4.5407,
+      "mean_token_accuracy": 0.22584614008665085,
+      "num_tokens": 15466633.0,
+      "step": 8485
+    },
+    {
+      "entropy": 5.269935941696167,
+      "epoch": 7.033968516984259,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.0001561598592258094,
+      "loss": 4.4839,
+      "mean_token_accuracy": 0.23932840377092363,
+      "num_tokens": 15476809.0,
+      "step": 8490
+    },
+    {
+      "entropy": 5.200196313858032,
+      "epoch": 7.03811101905551,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00015588863331055541,
+      "loss": 4.4345,
+      "mean_token_accuracy": 0.22763314247131347,
+      "num_tokens": 15484964.0,
+      "step": 8495
+    },
+    {
+      "entropy": 5.208463573455811,
+      "epoch": 7.042253521126761,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.0001556176476559444,
+      "loss": 4.4668,
+      "mean_token_accuracy": 0.2335176944732666,
+      "num_tokens": 15493600.0,
+      "step": 8500
+    },
+    {
+      "epoch": 7.042253521126761,
+      "eval_entropy": 5.129485646798921,
+      "eval_loss": 5.728693962097168,
+      "eval_mean_token_accuracy": 0.16830202490726767,
+      "eval_num_tokens": 15493600.0,
+      "eval_runtime": 2.7433,
+      "eval_samples_per_second": 1365.87,
+      "eval_steps_per_second": 170.962,
+      "step": 8500
+    },
+    {
+      "entropy": 5.164541816711425,
+      "epoch": 7.046396023198011,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00015534690280858405,
+      "loss": 4.4339,
+      "mean_token_accuracy": 0.23090869933366776,
+      "num_tokens": 15502614.0,
+      "step": 8505
+    },
+    {
+      "entropy": 5.342812156677246,
+      "epoch": 7.050538525269262,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00015507639931459615,
+      "loss": 4.5456,
+      "mean_token_accuracy": 0.23020666539669038,
+      "num_tokens": 15511521.0,
+      "step": 8510
+    },
+    {
+      "entropy": 5.217349433898926,
+      "epoch": 7.054681027340513,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000154806137719616,
+      "loss": 4.4838,
+      "mean_token_accuracy": 0.22951803505420684,
+      "num_tokens": 15520220.0,
+      "step": 8515
+    },
+    {
+      "entropy": 5.209629344940185,
+      "epoch": 7.0588235294117645,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001545361185687906,
+      "loss": 4.431,
+      "mean_token_accuracy": 0.2416904717683792,
+      "num_tokens": 15528924.0,
+      "step": 8520
+    },
+    {
+      "entropy": 5.182469224929809,
+      "epoch": 7.062966031483016,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00015426634240677824,
+      "loss": 4.4263,
+      "mean_token_accuracy": 0.23380360007286072,
+      "num_tokens": 15539722.0,
+      "step": 8525
+    },
+    {
+      "entropy": 5.2457551002502445,
+      "epoch": 7.067108533554267,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00015399680977774689,
+      "loss": 4.501,
+      "mean_token_accuracy": 0.2327603965997696,
+      "num_tokens": 15548682.0,
+      "step": 8530
+    },
+    {
+      "entropy": 5.270536422729492,
+      "epoch": 7.071251035625518,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00015372752122537318,
+      "loss": 4.4816,
+      "mean_token_accuracy": 0.23249582201242447,
+      "num_tokens": 15557508.0,
+      "step": 8535
+    },
+    {
+      "entropy": 5.2048643112182615,
+      "epoch": 7.075393537696769,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00015345847729284168,
+      "loss": 4.5156,
+      "mean_token_accuracy": 0.23168871104717254,
+      "num_tokens": 15566120.0,
+      "step": 8540
+    },
+    {
+      "entropy": 5.203616809844971,
+      "epoch": 7.07953603976802,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00015318967852284335,
+      "loss": 4.4143,
+      "mean_token_accuracy": 0.24245947301387788,
+      "num_tokens": 15575166.0,
+      "step": 8545
+    },
+    {
+      "entropy": 5.213142776489258,
+      "epoch": 7.083678541839271,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00015292112545757476,
+      "loss": 4.4618,
+      "mean_token_accuracy": 0.22540973722934723,
+      "num_tokens": 15585063.0,
+      "step": 8550
+    },
+    {
+      "entropy": 5.212160682678222,
+      "epoch": 7.087821043910522,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00015265281863873663,
+      "loss": 4.4774,
+      "mean_token_accuracy": 0.23299887031316757,
+      "num_tokens": 15594386.0,
+      "step": 8555
+    },
+    {
+      "entropy": 5.2236042499542235,
+      "epoch": 7.091963545981773,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00015238475860753338,
+      "loss": 4.5,
+      "mean_token_accuracy": 0.22962148636579513,
+      "num_tokens": 15603796.0,
+      "step": 8560
+    },
+    {
+      "entropy": 5.24848952293396,
+      "epoch": 7.096106048053024,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00015211694590467118,
+      "loss": 4.4305,
+      "mean_token_accuracy": 0.24062979519367217,
+      "num_tokens": 15612752.0,
+      "step": 8565
+    },
+    {
+      "entropy": 5.247216987609863,
+      "epoch": 7.100248550124275,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0001518493810703575,
+      "loss": 4.5228,
+      "mean_token_accuracy": 0.22897974401712418,
+      "num_tokens": 15621995.0,
+      "step": 8570
+    },
+    {
+      "entropy": 5.2101912021636965,
+      "epoch": 7.104391052195526,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00015158206464430002,
+      "loss": 4.4774,
+      "mean_token_accuracy": 0.2337987780570984,
+      "num_tokens": 15630390.0,
+      "step": 8575
+    },
+    {
+      "entropy": 5.154296445846557,
+      "epoch": 7.108533554266777,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000151314997165705,
+      "loss": 4.4282,
+      "mean_token_accuracy": 0.2341099962592125,
+      "num_tokens": 15639723.0,
+      "step": 8580
+    },
+    {
+      "entropy": 5.143678855895996,
+      "epoch": 7.112676056338028,
+      "grad_norm": 1.5625,
+      "learning_rate": 0.00015104817917327694,
+      "loss": 4.3389,
+      "mean_token_accuracy": 0.25343778878450396,
+      "num_tokens": 15647755.0,
+      "step": 8585
+    },
+    {
+      "entropy": 5.213784980773926,
+      "epoch": 7.116818558409279,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00015078161120521676,
+      "loss": 4.489,
+      "mean_token_accuracy": 0.24025783091783523,
+      "num_tokens": 15656949.0,
+      "step": 8590
+    },
+    {
+      "entropy": 5.183463621139526,
+      "epoch": 7.12096106048053,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001505152937992211,
+      "loss": 4.4389,
+      "mean_token_accuracy": 0.23687577545642852,
+      "num_tokens": 15666290.0,
+      "step": 8595
+    },
+    {
+      "entropy": 5.265416860580444,
+      "epoch": 7.125103562551781,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00015024922749248143,
+      "loss": 4.4796,
+      "mean_token_accuracy": 0.23623479157686234,
+      "num_tokens": 15675728.0,
+      "step": 8600
+    },
+    {
+      "entropy": 5.224102210998535,
+      "epoch": 7.1292460646230325,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00014998341282168243,
+      "loss": 4.4247,
+      "mean_token_accuracy": 0.24638550877571105,
+      "num_tokens": 15684519.0,
+      "step": 8605
+    },
+    {
+      "entropy": 5.225100469589234,
+      "epoch": 7.133388566694284,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0001497178503230015,
+      "loss": 4.5214,
+      "mean_token_accuracy": 0.2323624387383461,
+      "num_tokens": 15693813.0,
+      "step": 8610
+    },
+    {
+      "entropy": 5.2346985816955565,
+      "epoch": 7.137531068765535,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00014945254053210712,
+      "loss": 4.4972,
+      "mean_token_accuracy": 0.23152748346328736,
+      "num_tokens": 15702245.0,
+      "step": 8615
+    },
+    {
+      "entropy": 5.260819959640503,
+      "epoch": 7.141673570836786,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00014918748398415801,
+      "loss": 4.5132,
+      "mean_token_accuracy": 0.22982551604509355,
+      "num_tokens": 15712246.0,
+      "step": 8620
+    },
+    {
+      "entropy": 5.199164581298828,
+      "epoch": 7.145816072908037,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00014892268121380244,
+      "loss": 4.453,
+      "mean_token_accuracy": 0.23305327594280242,
+      "num_tokens": 15720904.0,
+      "step": 8625
+    },
+    {
+      "entropy": 5.201052474975586,
+      "epoch": 7.149958574979287,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00014865813275517637,
+      "loss": 4.4464,
+      "mean_token_accuracy": 0.24035904705524444,
+      "num_tokens": 15730595.0,
+      "step": 8630
+    },
+    {
+      "entropy": 5.160213327407837,
+      "epoch": 7.154101077050538,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00014839383914190302,
+      "loss": 4.4113,
+      "mean_token_accuracy": 0.2371663734316826,
+      "num_tokens": 15739475.0,
+      "step": 8635
+    },
+    {
+      "entropy": 5.202706527709961,
+      "epoch": 7.158243579121789,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001481298009070915,
+      "loss": 4.4357,
+      "mean_token_accuracy": 0.2400374785065651,
+      "num_tokens": 15748672.0,
+      "step": 8640
+    },
+    {
+      "entropy": 5.255636262893677,
+      "epoch": 7.16238608119304,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00014786601858333566,
+      "loss": 4.4665,
+      "mean_token_accuracy": 0.2322999894618988,
+      "num_tokens": 15757540.0,
+      "step": 8645
+    },
+    {
+      "entropy": 5.19217586517334,
+      "epoch": 7.1665285832642915,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00014760249270271341,
+      "loss": 4.4882,
+      "mean_token_accuracy": 0.23090190291404725,
+      "num_tokens": 15767198.0,
+      "step": 8650
+    },
+    {
+      "entropy": 5.181815910339355,
+      "epoch": 7.170671085335543,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00014733922379678513,
+      "loss": 4.444,
+      "mean_token_accuracy": 0.2331250548362732,
+      "num_tokens": 15776818.0,
+      "step": 8655
+    },
+    {
+      "entropy": 5.310377168655395,
+      "epoch": 7.174813587406794,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00014707621239659312,
+      "loss": 4.5959,
+      "mean_token_accuracy": 0.22294886857271196,
+      "num_tokens": 15786054.0,
+      "step": 8660
+    },
+    {
+      "entropy": 5.248941802978516,
+      "epoch": 7.178956089478045,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001468134590326601,
+      "loss": 4.5396,
+      "mean_token_accuracy": 0.22474610805511475,
+      "num_tokens": 15795367.0,
+      "step": 8665
+    },
+    {
+      "entropy": 5.275604391098023,
+      "epoch": 7.183098591549296,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001465509642349881,
+      "loss": 4.521,
+      "mean_token_accuracy": 0.22873310893774032,
+      "num_tokens": 15805006.0,
+      "step": 8670
+    },
+    {
+      "entropy": 5.279868030548096,
+      "epoch": 7.187241093620547,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00014628872853305808,
+      "loss": 4.5661,
+      "mean_token_accuracy": 0.21865685284137726,
+      "num_tokens": 15813978.0,
+      "step": 8675
+    },
+    {
+      "entropy": 5.2523754119873045,
+      "epoch": 7.191383595691798,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00014602675245582795,
+      "loss": 4.5336,
+      "mean_token_accuracy": 0.23225435018539428,
+      "num_tokens": 15824156.0,
+      "step": 8680
+    },
+    {
+      "entropy": 5.277890396118164,
+      "epoch": 7.195526097763049,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00014576503653173219,
+      "loss": 4.5739,
+      "mean_token_accuracy": 0.22429476380348207,
+      "num_tokens": 15833514.0,
+      "step": 8685
+    },
+    {
+      "entropy": 5.269798374176025,
+      "epoch": 7.1996685998342995,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00014550358128868036,
+      "loss": 4.5337,
+      "mean_token_accuracy": 0.2327092170715332,
+      "num_tokens": 15842047.0,
+      "step": 8690
+    },
+    {
+      "entropy": 5.283967399597168,
+      "epoch": 7.203811101905551,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00014524238725405615,
+      "loss": 4.5696,
+      "mean_token_accuracy": 0.230625981092453,
+      "num_tokens": 15851916.0,
+      "step": 8695
+    },
+    {
+      "entropy": 5.251355886459351,
+      "epoch": 7.207953603976802,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00014498145495471664,
+      "loss": 4.4735,
+      "mean_token_accuracy": 0.23564820736646652,
+      "num_tokens": 15860776.0,
+      "step": 8700
+    },
+    {
+      "entropy": 5.227689504623413,
+      "epoch": 7.212096106048053,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00014472078491699076,
+      "loss": 4.5561,
+      "mean_token_accuracy": 0.22959548383951187,
+      "num_tokens": 15870272.0,
+      "step": 8705
+    },
+    {
+      "entropy": 5.2320441722869875,
+      "epoch": 7.216238608119304,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0001444603776666784,
+      "loss": 4.4616,
+      "mean_token_accuracy": 0.23800074458122253,
+      "num_tokens": 15879448.0,
+      "step": 8710
+    },
+    {
+      "entropy": 5.309765768051148,
+      "epoch": 7.220381110190555,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00014420023372904944,
+      "loss": 4.5565,
+      "mean_token_accuracy": 0.22581303268671035,
+      "num_tokens": 15888806.0,
+      "step": 8715
+    },
+    {
+      "entropy": 5.223542404174805,
+      "epoch": 7.224523612261806,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00014394035362884274,
+      "loss": 4.5296,
+      "mean_token_accuracy": 0.23095161318778992,
+      "num_tokens": 15898443.0,
+      "step": 8720
+    },
+    {
+      "entropy": 5.220206260681152,
+      "epoch": 7.228666114333057,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00014368073789026482,
+      "loss": 4.4329,
+      "mean_token_accuracy": 0.2360845535993576,
+      "num_tokens": 15907759.0,
+      "step": 8725
+    },
+    {
+      "entropy": 5.230159711837769,
+      "epoch": 7.232808616404308,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00014342138703698882,
+      "loss": 4.4162,
+      "mean_token_accuracy": 0.24004922807216644,
+      "num_tokens": 15916687.0,
+      "step": 8730
+    },
+    {
+      "entropy": 5.2235363006591795,
+      "epoch": 7.2369511184755595,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.000143162301592154,
+      "loss": 4.48,
+      "mean_token_accuracy": 0.23941969871520996,
+      "num_tokens": 15925422.0,
+      "step": 8735
+    },
+    {
+      "entropy": 5.1952455043792725,
+      "epoch": 7.241093620546811,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00014290348207836385,
+      "loss": 4.4895,
+      "mean_token_accuracy": 0.2233983114361763,
+      "num_tokens": 15934279.0,
+      "step": 8740
+    },
+    {
+      "entropy": 5.200940227508545,
+      "epoch": 7.245236122618062,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001426449290176857,
+      "loss": 4.4485,
+      "mean_token_accuracy": 0.24146829843521117,
+      "num_tokens": 15943565.0,
+      "step": 8745
+    },
+    {
+      "entropy": 5.166256427764893,
+      "epoch": 7.249378624689312,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00014238664293164934,
+      "loss": 4.4391,
+      "mean_token_accuracy": 0.24021793454885482,
+      "num_tokens": 15952360.0,
+      "step": 8750
+    },
+    {
+      "entropy": 5.23963360786438,
+      "epoch": 7.253521126760563,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0001421286243412459,
+      "loss": 4.4776,
+      "mean_token_accuracy": 0.22992977499961853,
+      "num_tokens": 15960715.0,
+      "step": 8755
+    },
+    {
+      "entropy": 5.244385242462158,
+      "epoch": 7.257663628831814,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00014187087376692724,
+      "loss": 4.5058,
+      "mean_token_accuracy": 0.23199538439512252,
+      "num_tokens": 15969543.0,
+      "step": 8760
+    },
+    {
+      "entropy": 5.147299814224243,
+      "epoch": 7.261806130903065,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001416133917286043,
+      "loss": 4.4457,
+      "mean_token_accuracy": 0.23225277662277222,
+      "num_tokens": 15978256.0,
+      "step": 8765
+    },
+    {
+      "entropy": 5.203030776977539,
+      "epoch": 7.265948632974316,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001413561787456466,
+      "loss": 4.4327,
+      "mean_token_accuracy": 0.23831526637077333,
+      "num_tokens": 15987646.0,
+      "step": 8770
+    },
+    {
+      "entropy": 5.234354543685913,
+      "epoch": 7.2700911350455675,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00014109923533688068,
+      "loss": 4.4492,
+      "mean_token_accuracy": 0.23111054450273513,
+      "num_tokens": 15996767.0,
+      "step": 8775
+    },
+    {
+      "entropy": 5.211431694030762,
+      "epoch": 7.274233637116819,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0001408425620205897,
+      "loss": 4.4718,
+      "mean_token_accuracy": 0.23208508044481277,
+      "num_tokens": 16007170.0,
+      "step": 8780
+    },
+    {
+      "entropy": 5.255538749694824,
+      "epoch": 7.27837613918807,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001405861593145116,
+      "loss": 4.4987,
+      "mean_token_accuracy": 0.22857699245214463,
+      "num_tokens": 16015354.0,
+      "step": 8785
+    },
+    {
+      "entropy": 5.275969696044922,
+      "epoch": 7.282518641259321,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00014033002773583872,
+      "loss": 4.4955,
+      "mean_token_accuracy": 0.22325098514556885,
+      "num_tokens": 16024600.0,
+      "step": 8790
+    },
+    {
+      "entropy": 5.268600225448608,
+      "epoch": 7.286661143330572,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001400741678012164,
+      "loss": 4.4813,
+      "mean_token_accuracy": 0.2368546172976494,
+      "num_tokens": 16033301.0,
+      "step": 8795
+    },
+    {
+      "entropy": 5.252548122406006,
+      "epoch": 7.290803645401823,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00013981858002674223,
+      "loss": 4.5322,
+      "mean_token_accuracy": 0.22765524685382843,
+      "num_tokens": 16043539.0,
+      "step": 8800
+    },
+    {
+      "entropy": 5.284696912765503,
+      "epoch": 7.294946147473074,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001395632649279645,
+      "loss": 4.5687,
+      "mean_token_accuracy": 0.22771918177604675,
+      "num_tokens": 16052861.0,
+      "step": 8805
+    },
+    {
+      "entropy": 5.268942785263062,
+      "epoch": 7.299088649544325,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00013930822301988177,
+      "loss": 4.4622,
+      "mean_token_accuracy": 0.23665641099214554,
+      "num_tokens": 16062454.0,
+      "step": 8810
+    },
+    {
+      "entropy": 5.201201915740967,
+      "epoch": 7.3032311516155755,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00013905345481694147,
+      "loss": 4.4705,
+      "mean_token_accuracy": 0.2322714164853096,
+      "num_tokens": 16071432.0,
+      "step": 8815
+    },
+    {
+      "entropy": 5.172683620452881,
+      "epoch": 7.307373653686827,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001387989608330388,
+      "loss": 4.4437,
+      "mean_token_accuracy": 0.23548867851495742,
+      "num_tokens": 16080411.0,
+      "step": 8820
+    },
+    {
+      "entropy": 5.220728492736816,
+      "epoch": 7.311516155758078,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013854474158151602,
+      "loss": 4.486,
+      "mean_token_accuracy": 0.22679401338100433,
+      "num_tokens": 16089396.0,
+      "step": 8825
+    },
+    {
+      "entropy": 5.26025390625,
+      "epoch": 7.315658657829329,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00013829079757516106,
+      "loss": 4.5679,
+      "mean_token_accuracy": 0.224435892701149,
+      "num_tokens": 16099308.0,
+      "step": 8830
+    },
+    {
+      "entropy": 5.22006459236145,
+      "epoch": 7.31980115990058,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013803712932620681,
+      "loss": 4.5028,
+      "mean_token_accuracy": 0.22673140466213226,
+      "num_tokens": 16109336.0,
+      "step": 8835
+    },
+    {
+      "entropy": 5.267045164108277,
+      "epoch": 7.323943661971831,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001377837373463298,
+      "loss": 4.4931,
+      "mean_token_accuracy": 0.2302021786570549,
+      "num_tokens": 16118483.0,
+      "step": 8840
+    },
+    {
+      "entropy": 5.240559911727905,
+      "epoch": 7.328086164043082,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0001375306221466494,
+      "loss": 4.4713,
+      "mean_token_accuracy": 0.22934858202934266,
+      "num_tokens": 16127302.0,
+      "step": 8845
+    },
+    {
+      "entropy": 5.200973415374756,
+      "epoch": 7.332228666114333,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00013727778423772654,
+      "loss": 4.5353,
+      "mean_token_accuracy": 0.22502323240041733,
+      "num_tokens": 16136361.0,
+      "step": 8850
+    },
+    {
+      "entropy": 5.302484941482544,
+      "epoch": 7.336371168185584,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00013702522412956304,
+      "loss": 4.5868,
+      "mean_token_accuracy": 0.22618300914764405,
+      "num_tokens": 16146071.0,
+      "step": 8855
+    },
+    {
+      "entropy": 5.299910354614258,
+      "epoch": 7.340513670256835,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00013677294233160016,
+      "loss": 4.5189,
+      "mean_token_accuracy": 0.22607939094305038,
+      "num_tokens": 16154606.0,
+      "step": 8860
+    },
+    {
+      "entropy": 5.193687105178833,
+      "epoch": 7.3446561723280865,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013652093935271776,
+      "loss": 4.4767,
+      "mean_token_accuracy": 0.24149058610200883,
+      "num_tokens": 16163648.0,
+      "step": 8865
+    },
+    {
+      "entropy": 5.282410192489624,
+      "epoch": 7.348798674399337,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013626921570123357,
+      "loss": 4.5431,
+      "mean_token_accuracy": 0.22477766126394272,
+      "num_tokens": 16172693.0,
+      "step": 8870
+    },
+    {
+      "entropy": 5.204723453521728,
+      "epoch": 7.352941176470588,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00013601777188490156,
+      "loss": 4.4384,
+      "mean_token_accuracy": 0.23236895948648453,
+      "num_tokens": 16181689.0,
+      "step": 8875
+    },
+    {
+      "entropy": 5.202375221252441,
+      "epoch": 7.357083678541839,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0001357666084109115,
+      "loss": 4.5693,
+      "mean_token_accuracy": 0.22547451853752137,
+      "num_tokens": 16191254.0,
+      "step": 8880
+    },
+    {
+      "entropy": 5.271569538116455,
+      "epoch": 7.36122618061309,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001355157257858875,
+      "loss": 4.4698,
+      "mean_token_accuracy": 0.23402072489261627,
+      "num_tokens": 16199613.0,
+      "step": 8885
+    },
+    {
+      "entropy": 5.213530111312866,
+      "epoch": 7.365368682684341,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013526512451588718,
+      "loss": 4.4584,
+      "mean_token_accuracy": 0.23570594042539597,
+      "num_tokens": 16208345.0,
+      "step": 8890
+    },
+    {
+      "entropy": 5.259526348114013,
+      "epoch": 7.369511184755592,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0001350148051064008,
+      "loss": 4.5219,
+      "mean_token_accuracy": 0.23035535961389542,
+      "num_tokens": 16217964.0,
+      "step": 8895
+    },
+    {
+      "entropy": 5.259307479858398,
+      "epoch": 7.373653686826843,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00013476476806234983,
+      "loss": 4.5768,
+      "mean_token_accuracy": 0.2261824905872345,
+      "num_tokens": 16227140.0,
+      "step": 8900
+    },
+    {
+      "entropy": 5.320018339157104,
+      "epoch": 7.3777961888980945,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0001345150138880865,
+      "loss": 4.5291,
+      "mean_token_accuracy": 0.22605375498533248,
+      "num_tokens": 16237416.0,
+      "step": 8905
+    },
+    {
+      "entropy": 5.313902473449707,
+      "epoch": 7.381938690969346,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00013426554308739214,
+      "loss": 4.5596,
+      "mean_token_accuracy": 0.2251575157046318,
+      "num_tokens": 16246682.0,
+      "step": 8910
+    },
+    {
+      "entropy": 5.246820068359375,
+      "epoch": 7.386081193040597,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00013401635616347655,
+      "loss": 4.5364,
+      "mean_token_accuracy": 0.2272168666124344,
+      "num_tokens": 16255450.0,
+      "step": 8915
+    },
+    {
+      "entropy": 5.129112625122071,
+      "epoch": 7.390223695111848,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013376745361897712,
+      "loss": 4.4317,
+      "mean_token_accuracy": 0.24068772196769714,
+      "num_tokens": 16265014.0,
+      "step": 8920
+    },
+    {
+      "entropy": 5.284948348999023,
+      "epoch": 7.394366197183099,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00013351883595595743,
+      "loss": 4.5167,
+      "mean_token_accuracy": 0.23356657475233078,
+      "num_tokens": 16273309.0,
+      "step": 8925
+    },
+    {
+      "entropy": 5.225611877441406,
+      "epoch": 7.39850869925435,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001332705036759065,
+      "loss": 4.4788,
+      "mean_token_accuracy": 0.22821299731731415,
+      "num_tokens": 16282129.0,
+      "step": 8930
+    },
+    {
+      "entropy": 5.155527019500733,
+      "epoch": 7.4026512013256,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0001330224572797377,
+      "loss": 4.4512,
+      "mean_token_accuracy": 0.2339691624045372,
+      "num_tokens": 16291208.0,
+      "step": 8935
+    },
+    {
+      "entropy": 5.221278285980224,
+      "epoch": 7.406793703396851,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00013277469726778756,
+      "loss": 4.4484,
+      "mean_token_accuracy": 0.2374333918094635,
+      "num_tokens": 16300111.0,
+      "step": 8940
+    },
+    {
+      "entropy": 5.253650236129761,
+      "epoch": 7.4109362054681025,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001325272241398153,
+      "loss": 4.4236,
+      "mean_token_accuracy": 0.24237828254699706,
+      "num_tokens": 16308653.0,
+      "step": 8945
+    },
+    {
+      "entropy": 5.303265380859375,
+      "epoch": 7.415078707539354,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013228003839500113,
+      "loss": 4.5048,
+      "mean_token_accuracy": 0.23030605614185334,
+      "num_tokens": 16317986.0,
+      "step": 8950
+    },
+    {
+      "entropy": 5.250785398483276,
+      "epoch": 7.419221209610605,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001320331405319458,
+      "loss": 4.4978,
+      "mean_token_accuracy": 0.23015536218881608,
+      "num_tokens": 16326889.0,
+      "step": 8955
+    },
+    {
+      "entropy": 5.175545310974121,
+      "epoch": 7.423363711681856,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013178653104866926,
+      "loss": 4.5135,
+      "mean_token_accuracy": 0.2249376356601715,
+      "num_tokens": 16336121.0,
+      "step": 8960
+    },
+    {
+      "entropy": 5.223824167251587,
+      "epoch": 7.427506213753107,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.00013154021044260966,
+      "loss": 4.5654,
+      "mean_token_accuracy": 0.22634392529726027,
+      "num_tokens": 16345216.0,
+      "step": 8965
+    },
+    {
+      "entropy": 5.167584037780761,
+      "epoch": 7.431648715824358,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00013129417921062275,
+      "loss": 4.4047,
+      "mean_token_accuracy": 0.24216125905513763,
+      "num_tokens": 16353735.0,
+      "step": 8970
+    },
+    {
+      "entropy": 5.213489151000976,
+      "epoch": 7.435791217895609,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001310484378489803,
+      "loss": 4.4363,
+      "mean_token_accuracy": 0.23906279355287552,
+      "num_tokens": 16362474.0,
+      "step": 8975
+    },
+    {
+      "entropy": 5.264641571044922,
+      "epoch": 7.43993371996686,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013080298685336957,
+      "loss": 4.5711,
+      "mean_token_accuracy": 0.22207222431898116,
+      "num_tokens": 16371948.0,
+      "step": 8980
+    },
+    {
+      "entropy": 5.193941831588745,
+      "epoch": 7.444076222038111,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00013055782671889205,
+      "loss": 4.4657,
+      "mean_token_accuracy": 0.23412289023399352,
+      "num_tokens": 16380849.0,
+      "step": 8985
+    },
+    {
+      "entropy": 5.256904029846192,
+      "epoch": 7.448218724109362,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0001303129579400624,
+      "loss": 4.5758,
+      "mean_token_accuracy": 0.21966907531023025,
+      "num_tokens": 16389495.0,
+      "step": 8990
+    },
+    {
+      "entropy": 5.242080307006836,
+      "epoch": 7.452361226180613,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001300683810108078,
+      "loss": 4.44,
+      "mean_token_accuracy": 0.23775164783000946,
+      "num_tokens": 16397744.0,
+      "step": 8995
+    },
+    {
+      "entropy": 5.198620891571045,
+      "epoch": 7.456503728251864,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0001298240964244666,
+      "loss": 4.4774,
+      "mean_token_accuracy": 0.22778769880533217,
+      "num_tokens": 16406785.0,
+      "step": 9000
+    },
+    {
+      "epoch": 7.456503728251864,
+      "eval_entropy": 5.137435206472238,
+      "eval_loss": 5.726848125457764,
+      "eval_mean_token_accuracy": 0.16911925307151351,
+      "eval_num_tokens": 16406785.0,
+      "eval_runtime": 2.7388,
+      "eval_samples_per_second": 1368.12,
+      "eval_steps_per_second": 171.243,
+      "step": 9000
+    },
+    {
+      "entropy": 5.236600065231324,
+      "epoch": 7.460646230323115,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001295801046737876,
+      "loss": 4.5195,
+      "mean_token_accuracy": 0.23866655230522155,
+      "num_tokens": 16415768.0,
+      "step": 9005
+    },
+    {
+      "entropy": 5.189950561523437,
+      "epoch": 7.464788732394366,
+      "grad_norm": 1.53125,
+      "learning_rate": 0.00012933640625092867,
+      "loss": 4.4701,
+      "mean_token_accuracy": 0.2334812819957733,
+      "num_tokens": 16424722.0,
+      "step": 9010
+    },
+    {
+      "entropy": 5.206139373779297,
+      "epoch": 7.468931234465617,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00012909300164745636,
+      "loss": 4.4532,
+      "mean_token_accuracy": 0.24083833396434784,
+      "num_tokens": 16433797.0,
+      "step": 9015
+    },
+    {
+      "entropy": 5.195779943466187,
+      "epoch": 7.473073736536868,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00012884989135434423,
+      "loss": 4.4113,
+      "mean_token_accuracy": 0.23783705085515977,
+      "num_tokens": 16442537.0,
+      "step": 9020
+    },
+    {
+      "entropy": 5.241878795623779,
+      "epoch": 7.477216238608119,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00012860707586197218,
+      "loss": 4.5289,
+      "mean_token_accuracy": 0.23057866245508193,
+      "num_tokens": 16451440.0,
+      "step": 9025
+    },
+    {
+      "entropy": 5.202231788635254,
+      "epoch": 7.4813587406793705,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00012836455566012586,
+      "loss": 4.5065,
+      "mean_token_accuracy": 0.22772400230169296,
+      "num_tokens": 16459358.0,
+      "step": 9030
+    },
+    {
+      "entropy": 5.1701904296875,
+      "epoch": 7.485501242750622,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00012812233123799481,
+      "loss": 4.3761,
+      "mean_token_accuracy": 0.24460603147745133,
+      "num_tokens": 16467584.0,
+      "step": 9035
+    },
+    {
+      "entropy": 5.232595682144165,
+      "epoch": 7.489643744821873,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00012788040308417232,
+      "loss": 4.5119,
+      "mean_token_accuracy": 0.22690969109535217,
+      "num_tokens": 16476674.0,
+      "step": 9040
+    },
+    {
+      "entropy": 5.18615756034851,
+      "epoch": 7.493786246893124,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00012763877168665383,
+      "loss": 4.3977,
+      "mean_token_accuracy": 0.23276474177837372,
+      "num_tokens": 16485422.0,
+      "step": 9045
+    },
+    {
+      "entropy": 5.259172058105468,
+      "epoch": 7.497928748964375,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00012739743753283617,
+      "loss": 4.594,
+      "mean_token_accuracy": 0.23090241551399232,
+      "num_tokens": 16494024.0,
+      "step": 9050
+    },
+    {
+      "entropy": 5.212364196777344,
+      "epoch": 7.502071251035625,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001271564011095169,
+      "loss": 4.567,
+      "mean_token_accuracy": 0.22396907359361648,
+      "num_tokens": 16503805.0,
+      "step": 9055
+    },
+    {
+      "entropy": 5.238067293167115,
+      "epoch": 7.506213753106876,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001269156629028927,
+      "loss": 4.5034,
+      "mean_token_accuracy": 0.22764867544174194,
+      "num_tokens": 16512559.0,
+      "step": 9060
+    },
+    {
+      "entropy": 5.283909463882447,
+      "epoch": 7.510356255178127,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.0001266752233985589,
+      "loss": 4.5421,
+      "mean_token_accuracy": 0.22903914898633956,
+      "num_tokens": 16521910.0,
+      "step": 9065
+    },
+    {
+      "entropy": 5.228765964508057,
+      "epoch": 7.514498757249378,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00012643508308150822,
+      "loss": 4.481,
+      "mean_token_accuracy": 0.23210673332214354,
+      "num_tokens": 16530802.0,
+      "step": 9070
+    },
+    {
+      "entropy": 5.175292682647705,
+      "epoch": 7.5186412593206295,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001261952424361299,
+      "loss": 4.4682,
+      "mean_token_accuracy": 0.2365036979317665,
+      "num_tokens": 16540519.0,
+      "step": 9075
+    },
+    {
+      "entropy": 5.187702560424805,
+      "epoch": 7.522783761391881,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0001259557019462088,
+      "loss": 4.4624,
+      "mean_token_accuracy": 0.22708640843629838,
+      "num_tokens": 16549433.0,
+      "step": 9080
+    },
+    {
+      "entropy": 5.2191469192504885,
+      "epoch": 7.526926263463132,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00012571646209492417,
+      "loss": 4.5106,
+      "mean_token_accuracy": 0.2241887181997299,
+      "num_tokens": 16558128.0,
+      "step": 9085
+    },
+    {
+      "entropy": 5.1911474704742435,
+      "epoch": 7.531068765534383,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00012547752336484908,
+      "loss": 4.4329,
+      "mean_token_accuracy": 0.2339310199022293,
+      "num_tokens": 16566636.0,
+      "step": 9090
+    },
+    {
+      "entropy": 5.222174024581909,
+      "epoch": 7.535211267605634,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00012523888623794892,
+      "loss": 4.4508,
+      "mean_token_accuracy": 0.22641565501689911,
+      "num_tokens": 16575036.0,
+      "step": 9095
+    },
+    {
+      "entropy": 5.18636269569397,
+      "epoch": 7.539353769676885,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.0001250005511955809,
+      "loss": 4.4813,
+      "mean_token_accuracy": 0.23633484840393065,
+      "num_tokens": 16584146.0,
+      "step": 9100
+    },
+    {
+      "entropy": 5.267010164260864,
+      "epoch": 7.543496271748136,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001247625187184929,
+      "loss": 4.5566,
+      "mean_token_accuracy": 0.23071260899305343,
+      "num_tokens": 16593915.0,
+      "step": 9105
+    },
+    {
+      "entropy": 5.261574983596802,
+      "epoch": 7.547638773819386,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.0001245247892868223,
+      "loss": 4.4222,
+      "mean_token_accuracy": 0.24024491608142853,
+      "num_tokens": 16601490.0,
+      "step": 9110
+    },
+    {
+      "entropy": 5.231517314910889,
+      "epoch": 7.551781275890638,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0001242873633800955,
+      "loss": 4.5248,
+      "mean_token_accuracy": 0.22314041405916213,
+      "num_tokens": 16610972.0,
+      "step": 9115
+    },
+    {
+      "entropy": 5.2491841316223145,
+      "epoch": 7.555923777961889,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00012405024147722643,
+      "loss": 4.4864,
+      "mean_token_accuracy": 0.22206981778144835,
+      "num_tokens": 16619388.0,
+      "step": 9120
+    },
+    {
+      "entropy": 5.113521718978882,
+      "epoch": 7.56006628003314,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001238134240565158,
+      "loss": 4.4453,
+      "mean_token_accuracy": 0.23808686733245848,
+      "num_tokens": 16628265.0,
+      "step": 9125
+    },
+    {
+      "entropy": 5.1795234203338625,
+      "epoch": 7.564208782104391,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0001235769115956504,
+      "loss": 4.4003,
+      "mean_token_accuracy": 0.24365673661231996,
+      "num_tokens": 16636809.0,
+      "step": 9130
+    },
+    {
+      "entropy": 5.292108011245728,
+      "epoch": 7.568351284175642,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00012334070457170151,
+      "loss": 4.5798,
+      "mean_token_accuracy": 0.22227199971675873,
+      "num_tokens": 16646084.0,
+      "step": 9135
+    },
+    {
+      "entropy": 5.296937656402588,
+      "epoch": 7.572493786246893,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00012310480346112472,
+      "loss": 4.611,
+      "mean_token_accuracy": 0.2216431438922882,
+      "num_tokens": 16656196.0,
+      "step": 9140
+    },
+    {
+      "entropy": 5.209884786605835,
+      "epoch": 7.576636288318144,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00012286920873975815,
+      "loss": 4.5105,
+      "mean_token_accuracy": 0.22829700261354446,
+      "num_tokens": 16665770.0,
+      "step": 9145
+    },
+    {
+      "entropy": 5.213883733749389,
+      "epoch": 7.580778790389395,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00012263392088282226,
+      "loss": 4.4418,
+      "mean_token_accuracy": 0.24046860188245772,
+      "num_tokens": 16674206.0,
+      "step": 9150
+    },
+    {
+      "entropy": 5.187081003189087,
+      "epoch": 7.584921292460646,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00012239894036491833,
+      "loss": 4.4749,
+      "mean_token_accuracy": 0.2309769421815872,
+      "num_tokens": 16683977.0,
+      "step": 9155
+    },
+    {
+      "entropy": 5.184215354919433,
+      "epoch": 7.5890637945318975,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.00012216426766002762,
+      "loss": 4.4464,
+      "mean_token_accuracy": 0.23352074921131133,
+      "num_tokens": 16693117.0,
+      "step": 9160
+    },
+    {
+      "entropy": 5.220042276382446,
+      "epoch": 7.593206296603149,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00012192990324151079,
+      "loss": 4.4633,
+      "mean_token_accuracy": 0.23336823433637618,
+      "num_tokens": 16701631.0,
+      "step": 9165
+    },
+    {
+      "entropy": 5.242423677444458,
+      "epoch": 7.5973487986744,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00012169584758210635,
+      "loss": 4.5412,
+      "mean_token_accuracy": 0.23175331354141235,
+      "num_tokens": 16710337.0,
+      "step": 9170
+    },
+    {
+      "entropy": 5.182403945922852,
+      "epoch": 7.60149130074565,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00012146210115393025,
+      "loss": 4.4635,
+      "mean_token_accuracy": 0.2343884065747261,
+      "num_tokens": 16719046.0,
+      "step": 9175
+    },
+    {
+      "entropy": 5.217220401763916,
+      "epoch": 7.605633802816901,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00012122866442847455,
+      "loss": 4.5145,
+      "mean_token_accuracy": 0.2259568005800247,
+      "num_tokens": 16727860.0,
+      "step": 9180
+    },
+    {
+      "entropy": 5.235024166107178,
+      "epoch": 7.609776304888152,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00012099553787660654,
+      "loss": 4.5803,
+      "mean_token_accuracy": 0.23205377757549286,
+      "num_tokens": 16737839.0,
+      "step": 9185
+    },
+    {
+      "entropy": 5.158119058609008,
+      "epoch": 7.613918806959403,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00012076272196856808,
+      "loss": 4.4573,
+      "mean_token_accuracy": 0.2307577461004257,
+      "num_tokens": 16746171.0,
+      "step": 9190
+    },
+    {
+      "entropy": 5.198251819610595,
+      "epoch": 7.618061309030654,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0001205302171739742,
+      "loss": 4.4448,
+      "mean_token_accuracy": 0.2381545603275299,
+      "num_tokens": 16755236.0,
+      "step": 9195
+    },
+    {
+      "entropy": 5.211521863937378,
+      "epoch": 7.6222038111019055,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00012029802396181256,
+      "loss": 4.4663,
+      "mean_token_accuracy": 0.2303634077310562,
+      "num_tokens": 16764126.0,
+      "step": 9200
+    },
+    {
+      "entropy": 5.242390394210815,
+      "epoch": 7.626346313173157,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00012006614280044225,
+      "loss": 4.5253,
+      "mean_token_accuracy": 0.2375326469540596,
+      "num_tokens": 16772861.0,
+      "step": 9205
+    },
+    {
+      "entropy": 5.234907102584839,
+      "epoch": 7.630488815244408,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00011983457415759274,
+      "loss": 4.5015,
+      "mean_token_accuracy": 0.23732417970895767,
+      "num_tokens": 16782119.0,
+      "step": 9210
+    },
+    {
+      "entropy": 5.261215591430664,
+      "epoch": 7.634631317315659,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.00011960331850036352,
+      "loss": 4.5405,
+      "mean_token_accuracy": 0.22217481583356857,
+      "num_tokens": 16790531.0,
+      "step": 9215
+    },
+    {
+      "entropy": 5.176897668838501,
+      "epoch": 7.63877381938691,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00011937237629522233,
+      "loss": 4.4532,
+      "mean_token_accuracy": 0.23413067758083345,
+      "num_tokens": 16799516.0,
+      "step": 9220
+    },
+    {
+      "entropy": 5.238109970092774,
+      "epoch": 7.642916321458161,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00011914174800800501,
+      "loss": 4.502,
+      "mean_token_accuracy": 0.2298160970211029,
+      "num_tokens": 16807830.0,
+      "step": 9225
+    },
+    {
+      "entropy": 5.269895887374878,
+      "epoch": 7.647058823529412,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00011891143410391387,
+      "loss": 4.565,
+      "mean_token_accuracy": 0.22582002878189086,
+      "num_tokens": 16816987.0,
+      "step": 9230
+    },
+    {
+      "entropy": 5.18939995765686,
+      "epoch": 7.651201325600663,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00011868143504751732,
+      "loss": 4.3949,
+      "mean_token_accuracy": 0.23891554325819014,
+      "num_tokens": 16825723.0,
+      "step": 9235
+    },
+    {
+      "entropy": 5.219127750396728,
+      "epoch": 7.6553438276719135,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00011845175130274848,
+      "loss": 4.5034,
+      "mean_token_accuracy": 0.23103347569704055,
+      "num_tokens": 16835429.0,
+      "step": 9240
+    },
+    {
+      "entropy": 5.194927597045899,
+      "epoch": 7.659486329743165,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011822238333290475,
+      "loss": 4.4327,
+      "mean_token_accuracy": 0.24837690144777297,
+      "num_tokens": 16844693.0,
+      "step": 9245
+    },
+    {
+      "entropy": 5.20636739730835,
+      "epoch": 7.663628831814416,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00011799333160064617,
+      "loss": 4.4855,
+      "mean_token_accuracy": 0.23225704431533814,
+      "num_tokens": 16853058.0,
+      "step": 9250
+    },
+    {
+      "entropy": 5.287894773483276,
+      "epoch": 7.667771333885667,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0001177645965679953,
+      "loss": 4.5412,
+      "mean_token_accuracy": 0.2231143057346344,
+      "num_tokens": 16863017.0,
+      "step": 9255
+    },
+    {
+      "entropy": 5.163079929351807,
+      "epoch": 7.671913835956918,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00011753617869633561,
+      "loss": 4.4049,
+      "mean_token_accuracy": 0.23928526490926744,
+      "num_tokens": 16872054.0,
+      "step": 9260
+    },
+    {
+      "entropy": 5.2851978778839115,
+      "epoch": 7.676056338028169,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00011730807844641085,
+      "loss": 4.5402,
+      "mean_token_accuracy": 0.2318034812808037,
+      "num_tokens": 16881554.0,
+      "step": 9265
+    },
+    {
+      "entropy": 5.190302848815918,
+      "epoch": 7.68019884009942,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00011708029627832431,
+      "loss": 4.5038,
+      "mean_token_accuracy": 0.23283302932977676,
+      "num_tokens": 16890050.0,
+      "step": 9270
+    },
+    {
+      "entropy": 5.259742593765258,
+      "epoch": 7.684341342170671,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00011685283265153732,
+      "loss": 4.4511,
+      "mean_token_accuracy": 0.2353460371494293,
+      "num_tokens": 16899298.0,
+      "step": 9275
+    },
+    {
+      "entropy": 5.3122483253479,
+      "epoch": 7.688483844241922,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00011662568802486905,
+      "loss": 4.5545,
+      "mean_token_accuracy": 0.22228943407535554,
+      "num_tokens": 16908227.0,
+      "step": 9280
+    },
+    {
+      "entropy": 5.272556734085083,
+      "epoch": 7.692626346313173,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00011639886285649489,
+      "loss": 4.5396,
+      "mean_token_accuracy": 0.22207894474267958,
+      "num_tokens": 16917708.0,
+      "step": 9285
+    },
+    {
+      "entropy": 5.160271692276001,
+      "epoch": 7.6967688483844245,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00011617235760394614,
+      "loss": 4.3672,
+      "mean_token_accuracy": 0.25004381984472274,
+      "num_tokens": 16926108.0,
+      "step": 9290
+    },
+    {
+      "entropy": 5.235444402694702,
+      "epoch": 7.700911350455675,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001159461727241085,
+      "loss": 4.4974,
+      "mean_token_accuracy": 0.22936034947633743,
+      "num_tokens": 16935821.0,
+      "step": 9295
+    },
+    {
+      "entropy": 5.198528051376343,
+      "epoch": 7.705053852526927,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001157203086732217,
+      "loss": 4.5459,
+      "mean_token_accuracy": 0.22811468094587325,
+      "num_tokens": 16944899.0,
+      "step": 9300
+    },
+    {
+      "entropy": 5.187997674942016,
+      "epoch": 7.709196354598177,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00011549476590687811,
+      "loss": 4.4804,
+      "mean_token_accuracy": 0.23926871865987778,
+      "num_tokens": 16953745.0,
+      "step": 9305
+    },
+    {
+      "entropy": 5.313058137893677,
+      "epoch": 7.713338856669428,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00011526954488002227,
+      "loss": 4.5838,
+      "mean_token_accuracy": 0.22520019114017487,
+      "num_tokens": 16962940.0,
+      "step": 9310
+    },
+    {
+      "entropy": 5.229482698440552,
+      "epoch": 7.717481358740679,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00011504464604694953,
+      "loss": 4.4865,
+      "mean_token_accuracy": 0.23147685676813126,
+      "num_tokens": 16971322.0,
+      "step": 9315
+    },
+    {
+      "entropy": 5.245448875427246,
+      "epoch": 7.72162386081193,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00011482006986130533,
+      "loss": 4.4294,
+      "mean_token_accuracy": 0.23540343344211578,
+      "num_tokens": 16980066.0,
+      "step": 9320
+    },
+    {
+      "entropy": 5.247683668136597,
+      "epoch": 7.725766362883181,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00011459581677608453,
+      "loss": 4.5173,
+      "mean_token_accuracy": 0.2335611492395401,
+      "num_tokens": 16989202.0,
+      "step": 9325
+    },
+    {
+      "entropy": 5.193714046478272,
+      "epoch": 7.7299088649544325,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00011437188724362997,
+      "loss": 4.5308,
+      "mean_token_accuracy": 0.22125924676656722,
+      "num_tokens": 16999267.0,
+      "step": 9330
+    },
+    {
+      "entropy": 5.173966312408448,
+      "epoch": 7.734051367025684,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00011414828171563214,
+      "loss": 4.4961,
+      "mean_token_accuracy": 0.2306640401482582,
+      "num_tokens": 17008252.0,
+      "step": 9335
+    },
+    {
+      "entropy": 5.222964191436768,
+      "epoch": 7.738193869096935,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00011392500064312773,
+      "loss": 4.4861,
+      "mean_token_accuracy": 0.23044844567775727,
+      "num_tokens": 17017568.0,
+      "step": 9340
+    },
+    {
+      "entropy": 5.249899530410767,
+      "epoch": 7.742336371168186,
+      "grad_norm": 1.578125,
+      "learning_rate": 0.000113702044476499,
+      "loss": 4.4943,
+      "mean_token_accuracy": 0.2308612123131752,
+      "num_tokens": 17026206.0,
+      "step": 9345
+    },
+    {
+      "entropy": 5.2420073509216305,
+      "epoch": 7.746478873239437,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00011347941366547303,
+      "loss": 4.4643,
+      "mean_token_accuracy": 0.23350251317024232,
+      "num_tokens": 17035114.0,
+      "step": 9350
+    },
+    {
+      "entropy": 5.238725233078003,
+      "epoch": 7.750621375310688,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001132571086591204,
+      "loss": 4.5356,
+      "mean_token_accuracy": 0.2302680641412735,
+      "num_tokens": 17044459.0,
+      "step": 9355
+    },
+    {
+      "entropy": 5.248926877975464,
+      "epoch": 7.754763877381938,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001130351299058547,
+      "loss": 4.5629,
+      "mean_token_accuracy": 0.220232954621315,
+      "num_tokens": 17053985.0,
+      "step": 9360
+    },
+    {
+      "entropy": 5.184970664978027,
+      "epoch": 7.758906379453189,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00011281347785343127,
+      "loss": 4.3551,
+      "mean_token_accuracy": 0.24387124329805374,
+      "num_tokens": 17063136.0,
+      "step": 9365
+    },
+    {
+      "entropy": 5.232142210006714,
+      "epoch": 7.7630488815244405,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00011259215294894647,
+      "loss": 4.5255,
+      "mean_token_accuracy": 0.22341912239789963,
+      "num_tokens": 17072423.0,
+      "step": 9370
+    },
+    {
+      "entropy": 5.20652437210083,
+      "epoch": 7.767191383595692,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00011237115563883693,
+      "loss": 4.4755,
+      "mean_token_accuracy": 0.23369871973991393,
+      "num_tokens": 17080578.0,
+      "step": 9375
+    },
+    {
+      "entropy": 5.195418119430542,
+      "epoch": 7.771333885666943,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00011215048636887825,
+      "loss": 4.4118,
+      "mean_token_accuracy": 0.24118203073740005,
+      "num_tokens": 17089995.0,
+      "step": 9380
+    },
+    {
+      "entropy": 5.147100353240967,
+      "epoch": 7.775476387738194,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001119301455841846,
+      "loss": 4.4097,
+      "mean_token_accuracy": 0.2331821948289871,
+      "num_tokens": 17099659.0,
+      "step": 9385
+    },
+    {
+      "entropy": 5.245456647872925,
+      "epoch": 7.779618889809445,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00011171013372920735,
+      "loss": 4.5308,
+      "mean_token_accuracy": 0.2302419975399971,
+      "num_tokens": 17109972.0,
+      "step": 9390
+    },
+    {
+      "entropy": 5.282257461547852,
+      "epoch": 7.783761391880696,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00011149045124773441,
+      "loss": 4.617,
+      "mean_token_accuracy": 0.2195971965789795,
+      "num_tokens": 17120288.0,
+      "step": 9395
+    },
+    {
+      "entropy": 5.251280069351196,
+      "epoch": 7.787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00011127109858288945,
+      "loss": 4.5275,
+      "mean_token_accuracy": 0.23744001388549804,
+      "num_tokens": 17130577.0,
+      "step": 9400
+    },
+    {
+      "entropy": 5.277375173568726,
+      "epoch": 7.792046396023198,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00011105207617713065,
+      "loss": 4.5846,
+      "mean_token_accuracy": 0.22438258528709412,
+      "num_tokens": 17140782.0,
+      "step": 9405
+    },
+    {
+      "entropy": 5.172359895706177,
+      "epoch": 7.796188898094449,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00011083338447225027,
+      "loss": 4.4852,
+      "mean_token_accuracy": 0.22962091118097305,
+      "num_tokens": 17150013.0,
+      "step": 9410
+    },
+    {
+      "entropy": 5.282632112503052,
+      "epoch": 7.8003314001657,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00011061502390937331,
+      "loss": 4.5287,
+      "mean_token_accuracy": 0.22322992384433746,
+      "num_tokens": 17159349.0,
+      "step": 9415
+    },
+    {
+      "entropy": 5.277588748931885,
+      "epoch": 7.804473902236952,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.0001103969949289568,
+      "loss": 4.5575,
+      "mean_token_accuracy": 0.23068788200616835,
+      "num_tokens": 17168063.0,
+      "step": 9420
+    },
+    {
+      "entropy": 5.27054352760315,
+      "epoch": 7.808616404308202,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00011017929797078919,
+      "loss": 4.5128,
+      "mean_token_accuracy": 0.22348960638046264,
+      "num_tokens": 17177087.0,
+      "step": 9425
+    },
+    {
+      "entropy": 5.23571743965149,
+      "epoch": 7.812758906379453,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00010996193347398886,
+      "loss": 4.4804,
+      "mean_token_accuracy": 0.2383258655667305,
+      "num_tokens": 17186875.0,
+      "step": 9430
+    },
+    {
+      "entropy": 5.23639702796936,
+      "epoch": 7.816901408450704,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00010974490187700394,
+      "loss": 4.5367,
+      "mean_token_accuracy": 0.2227595865726471,
+      "num_tokens": 17195666.0,
+      "step": 9435
+    },
+    {
+      "entropy": 5.224313688278198,
+      "epoch": 7.821043910521955,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0001095282036176107,
+      "loss": 4.4819,
+      "mean_token_accuracy": 0.22626830786466598,
+      "num_tokens": 17205145.0,
+      "step": 9440
+    },
+    {
+      "entropy": 5.25811996459961,
+      "epoch": 7.825186412593206,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00010931183913291335,
+      "loss": 4.5312,
+      "mean_token_accuracy": 0.2275287076830864,
+      "num_tokens": 17214106.0,
+      "step": 9445
+    },
+    {
+      "entropy": 5.185547399520874,
+      "epoch": 7.829328914664457,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00010909580885934265,
+      "loss": 4.3977,
+      "mean_token_accuracy": 0.24248179346323012,
+      "num_tokens": 17223343.0,
+      "step": 9450
+    },
+    {
+      "entropy": 5.235095453262329,
+      "epoch": 7.8334714167357085,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00010888011323265517,
+      "loss": 4.5538,
+      "mean_token_accuracy": 0.22286391854286194,
+      "num_tokens": 17233528.0,
+      "step": 9455
+    },
+    {
+      "entropy": 5.166561889648437,
+      "epoch": 7.83761391880696,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00010866475268793275,
+      "loss": 4.417,
+      "mean_token_accuracy": 0.23417006582021713,
+      "num_tokens": 17242026.0,
+      "step": 9460
+    },
+    {
+      "entropy": 5.164305257797241,
+      "epoch": 7.841756420878211,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00010844972765958096,
+      "loss": 4.4521,
+      "mean_token_accuracy": 0.23989777714014054,
+      "num_tokens": 17251203.0,
+      "step": 9465
+    },
+    {
+      "entropy": 5.134662532806397,
+      "epoch": 7.845898922949462,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00010823503858132894,
+      "loss": 4.3833,
+      "mean_token_accuracy": 0.23944269567728044,
+      "num_tokens": 17260072.0,
+      "step": 9470
+    },
+    {
+      "entropy": 5.221753406524658,
+      "epoch": 7.850041425020713,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00010802068588622793,
+      "loss": 4.515,
+      "mean_token_accuracy": 0.23257962763309478,
+      "num_tokens": 17269015.0,
+      "step": 9475
+    },
+    {
+      "entropy": 5.2019994258880615,
+      "epoch": 7.854183927091963,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00010780667000665067,
+      "loss": 4.4506,
+      "mean_token_accuracy": 0.24606569111347198,
+      "num_tokens": 17277721.0,
+      "step": 9480
+    },
+    {
+      "entropy": 5.219488096237183,
+      "epoch": 7.858326429163214,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00010759299137429073,
+      "loss": 4.5167,
+      "mean_token_accuracy": 0.2341366305947304,
+      "num_tokens": 17286805.0,
+      "step": 9485
+    },
+    {
+      "entropy": 5.258726453781128,
+      "epoch": 7.862468931234465,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00010737965042016116,
+      "loss": 4.5958,
+      "mean_token_accuracy": 0.22132833003997804,
+      "num_tokens": 17297577.0,
+      "step": 9490
+    },
+    {
+      "entropy": 5.259564542770386,
+      "epoch": 7.866611433305716,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00010716664757459404,
+      "loss": 4.4898,
+      "mean_token_accuracy": 0.2290081799030304,
+      "num_tokens": 17306620.0,
+      "step": 9495
+    },
+    {
+      "entropy": 5.2478546619415285,
+      "epoch": 7.8707539353769675,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00010695398326723938,
+      "loss": 4.5186,
+      "mean_token_accuracy": 0.22088584303855896,
+      "num_tokens": 17314796.0,
+      "step": 9500
+    },
+    {
+      "epoch": 7.8707539353769675,
+      "eval_entropy": 5.124833188331458,
+      "eval_loss": 5.722036838531494,
+      "eval_mean_token_accuracy": 0.16973218553737282,
+      "eval_num_tokens": 17314796.0,
+      "eval_runtime": 2.7518,
+      "eval_samples_per_second": 1361.662,
+      "eval_steps_per_second": 170.435,
+      "step": 9500
+    },
+    {
+      "entropy": 5.254538726806641,
+      "epoch": 7.874896437448219,
+      "grad_norm": 1.59375,
+      "learning_rate": 0.00010674165792706423,
+      "loss": 4.5362,
+      "mean_token_accuracy": 0.2321956381201744,
+      "num_tokens": 17324048.0,
+      "step": 9505
+    },
+    {
+      "entropy": 5.231704330444336,
+      "epoch": 7.87903893951947,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00010652967198235214,
+      "loss": 4.5016,
+      "mean_token_accuracy": 0.22966693341732025,
+      "num_tokens": 17333354.0,
+      "step": 9510
+    },
+    {
+      "entropy": 5.187391471862793,
+      "epoch": 7.883181441590721,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001063180258607018,
+      "loss": 4.4236,
+      "mean_token_accuracy": 0.24541445523500444,
+      "num_tokens": 17343026.0,
+      "step": 9515
+    },
+    {
+      "entropy": 5.156158971786499,
+      "epoch": 7.887323943661972,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00010610671998902671,
+      "loss": 4.3988,
+      "mean_token_accuracy": 0.2460971713066101,
+      "num_tokens": 17351161.0,
+      "step": 9520
+    },
+    {
+      "entropy": 5.217752170562744,
+      "epoch": 7.891466445733223,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00010589575479355379,
+      "loss": 4.4439,
+      "mean_token_accuracy": 0.23356560468673707,
+      "num_tokens": 17360697.0,
+      "step": 9525
+    },
+    {
+      "entropy": 5.239214277267456,
+      "epoch": 7.895608947804474,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00010568513069982289,
+      "loss": 4.52,
+      "mean_token_accuracy": 0.22984081357717515,
+      "num_tokens": 17370303.0,
+      "step": 9530
+    },
+    {
+      "entropy": 5.209999418258667,
+      "epoch": 7.899751449875725,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00010547484813268594,
+      "loss": 4.4913,
+      "mean_token_accuracy": 0.2257639542222023,
+      "num_tokens": 17379557.0,
+      "step": 9535
+    },
+    {
+      "entropy": 5.242380571365357,
+      "epoch": 7.903893951946976,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00010526490751630568,
+      "loss": 4.5388,
+      "mean_token_accuracy": 0.2311421036720276,
+      "num_tokens": 17388206.0,
+      "step": 9540
+    },
+    {
+      "entropy": 5.27910270690918,
+      "epoch": 7.908036454018227,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00010505530927415544,
+      "loss": 4.5921,
+      "mean_token_accuracy": 0.22979632169008254,
+      "num_tokens": 17398055.0,
+      "step": 9545
+    },
+    {
+      "entropy": 5.15529146194458,
+      "epoch": 7.912178956089478,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00010484605382901772,
+      "loss": 4.3899,
+      "mean_token_accuracy": 0.2327595457434654,
+      "num_tokens": 17407214.0,
+      "step": 9550
+    },
+    {
+      "entropy": 5.2571430683135985,
+      "epoch": 7.916321458160729,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00010463714160298354,
+      "loss": 4.5125,
+      "mean_token_accuracy": 0.23076227605342864,
+      "num_tokens": 17416447.0,
+      "step": 9555
+    },
+    {
+      "entropy": 5.230874300003052,
+      "epoch": 7.92046396023198,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.00010442857301745184,
+      "loss": 4.5231,
+      "mean_token_accuracy": 0.22791534811258315,
+      "num_tokens": 17424921.0,
+      "step": 9560
+    },
+    {
+      "entropy": 5.141931629180908,
+      "epoch": 7.924606462303231,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0001042203484931281,
+      "loss": 4.3655,
+      "mean_token_accuracy": 0.2378263220191002,
+      "num_tokens": 17434425.0,
+      "step": 9565
+    },
+    {
+      "entropy": 5.186363983154297,
+      "epoch": 7.928748964374482,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00010401246845002407,
+      "loss": 4.4757,
+      "mean_token_accuracy": 0.23377338647842408,
+      "num_tokens": 17443879.0,
+      "step": 9570
+    },
+    {
+      "entropy": 5.210091876983642,
+      "epoch": 7.932891466445733,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00010380493330745641,
+      "loss": 4.4587,
+      "mean_token_accuracy": 0.23192314356565474,
+      "num_tokens": 17452276.0,
+      "step": 9575
+    },
+    {
+      "entropy": 5.215310287475586,
+      "epoch": 7.937033968516984,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00010359774348404626,
+      "loss": 4.4939,
+      "mean_token_accuracy": 0.23562314212322236,
+      "num_tokens": 17460706.0,
+      "step": 9580
+    },
+    {
+      "entropy": 5.224613237380981,
+      "epoch": 7.9411764705882355,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.00010339089939771814,
+      "loss": 4.5236,
+      "mean_token_accuracy": 0.23302816599607468,
+      "num_tokens": 17469754.0,
+      "step": 9585
+    },
+    {
+      "entropy": 5.229640674591065,
+      "epoch": 7.945318972659487,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00010318440146569904,
+      "loss": 4.6337,
+      "mean_token_accuracy": 0.21704740524291993,
+      "num_tokens": 17480057.0,
+      "step": 9590
+    },
+    {
+      "entropy": 5.159609174728393,
+      "epoch": 7.949461474730738,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00010297825010451806,
+      "loss": 4.4828,
+      "mean_token_accuracy": 0.2280757188796997,
+      "num_tokens": 17490427.0,
+      "step": 9595
+    },
+    {
+      "entropy": 5.2409614562988285,
+      "epoch": 7.953603976801988,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001027724457300048,
+      "loss": 4.5002,
+      "mean_token_accuracy": 0.22425992041826248,
+      "num_tokens": 17499105.0,
+      "step": 9600
+    },
+    {
+      "entropy": 5.23765196800232,
+      "epoch": 7.957746478873239,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00010256698875728938,
+      "loss": 4.547,
+      "mean_token_accuracy": 0.22590158581733705,
+      "num_tokens": 17508499.0,
+      "step": 9605
+    },
+    {
+      "entropy": 5.163430261611938,
+      "epoch": 7.96188898094449,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00010236187960080084,
+      "loss": 4.4222,
+      "mean_token_accuracy": 0.23525544255971909,
+      "num_tokens": 17516885.0,
+      "step": 9610
+    },
+    {
+      "entropy": 5.1939342498779295,
+      "epoch": 7.966031483015741,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00010215711867426678,
+      "loss": 4.4244,
+      "mean_token_accuracy": 0.23281094878911973,
+      "num_tokens": 17524958.0,
+      "step": 9615
+    },
+    {
+      "entropy": 5.214349365234375,
+      "epoch": 7.970173985086992,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00010195270639071243,
+      "loss": 4.5069,
+      "mean_token_accuracy": 0.2273066148161888,
+      "num_tokens": 17534185.0,
+      "step": 9620
+    },
+    {
+      "entropy": 5.249651336669922,
+      "epoch": 7.9743164871582435,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001017486431624596,
+      "loss": 4.5279,
+      "mean_token_accuracy": 0.23122728317976,
+      "num_tokens": 17542696.0,
+      "step": 9625
+    },
+    {
+      "entropy": 5.185487270355225,
+      "epoch": 7.978458989229495,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00010154492940112624,
+      "loss": 4.4113,
+      "mean_token_accuracy": 0.24716590344905853,
+      "num_tokens": 17552751.0,
+      "step": 9630
+    },
+    {
+      "entropy": 5.29529037475586,
+      "epoch": 7.982601491300746,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00010134156551762519,
+      "loss": 4.5379,
+      "mean_token_accuracy": 0.2170561745762825,
+      "num_tokens": 17561973.0,
+      "step": 9635
+    },
+    {
+      "entropy": 5.267471647262573,
+      "epoch": 7.986743993371997,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00010113855192216359,
+      "loss": 4.5527,
+      "mean_token_accuracy": 0.2246631383895874,
+      "num_tokens": 17571238.0,
+      "step": 9640
+    },
+    {
+      "entropy": 5.232839488983155,
+      "epoch": 7.990886495443248,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00010093588902424217,
+      "loss": 4.4622,
+      "mean_token_accuracy": 0.23793471455574036,
+      "num_tokens": 17580189.0,
+      "step": 9645
+    },
+    {
+      "entropy": 5.242947244644165,
+      "epoch": 7.995028997514499,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00010073357723265398,
+      "loss": 4.5355,
+      "mean_token_accuracy": 0.22305892258882523,
+      "num_tokens": 17590051.0,
+      "step": 9650
+    },
+    {
+      "entropy": 5.258848190307617,
+      "epoch": 7.99917149958575,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00010053161695548418,
+      "loss": 4.5267,
+      "mean_token_accuracy": 0.22477346956729888,
+      "num_tokens": 17599036.0,
+      "step": 9655
+    },
+    {
+      "entropy": 5.2261518955230715,
+      "epoch": 8.003314001657001,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00010033000860010866,
+      "loss": 4.407,
+      "mean_token_accuracy": 0.2392567962408066,
+      "num_tokens": 17608433.0,
+      "step": 9660
+    },
+    {
+      "entropy": 5.227947092056274,
+      "epoch": 8.007456503728251,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001001287525731934,
+      "loss": 4.4214,
+      "mean_token_accuracy": 0.23113029599189758,
+      "num_tokens": 17617696.0,
+      "step": 9665
+    },
+    {
+      "entropy": 5.220786905288696,
+      "epoch": 8.011599005799503,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.992784928069397e-05,
+      "loss": 4.4613,
+      "mean_token_accuracy": 0.23347013741731643,
+      "num_tokens": 17626619.0,
+      "step": 9670
+    },
+    {
+      "entropy": 5.207056665420533,
+      "epoch": 8.015741507870754,
+      "grad_norm": 1.453125,
+      "learning_rate": 9.972729912785411e-05,
+      "loss": 4.3419,
+      "mean_token_accuracy": 0.24283643662929535,
+      "num_tokens": 17635306.0,
+      "step": 9675
+    },
+    {
+      "entropy": 5.166647005081177,
+      "epoch": 8.019884009942006,
+      "grad_norm": 1.5703125,
+      "learning_rate": 9.95271025192055e-05,
+      "loss": 4.3254,
+      "mean_token_accuracy": 0.24794788360595704,
+      "num_tokens": 17643526.0,
+      "step": 9680
+    },
+    {
+      "entropy": 5.258458948135376,
+      "epoch": 8.024026512013256,
+      "grad_norm": 1.484375,
+      "learning_rate": 9.93272598585665e-05,
+      "loss": 4.5109,
+      "mean_token_accuracy": 0.22621739655733109,
+      "num_tokens": 17652474.0,
+      "step": 9685
+    },
+    {
+      "entropy": 5.182386016845703,
+      "epoch": 8.028169014084508,
+      "grad_norm": 1.3828125,
+      "learning_rate": 9.912777154904171e-05,
+      "loss": 4.4387,
+      "mean_token_accuracy": 0.2345404177904129,
+      "num_tokens": 17662025.0,
+      "step": 9690
+    },
+    {
+      "entropy": 5.121964597702027,
+      "epoch": 8.032311516155758,
+      "grad_norm": 1.40625,
+      "learning_rate": 9.89286379930207e-05,
+      "loss": 4.3627,
+      "mean_token_accuracy": 0.24598751664161683,
+      "num_tokens": 17670908.0,
+      "step": 9695
+    },
+    {
+      "entropy": 5.156725072860718,
+      "epoch": 8.036454018227008,
+      "grad_norm": 1.375,
+      "learning_rate": 9.872985959217779e-05,
+      "loss": 4.3483,
+      "mean_token_accuracy": 0.25048859864473344,
+      "num_tokens": 17681242.0,
+      "step": 9700
+    },
+    {
+      "entropy": 5.181863164901733,
+      "epoch": 8.04059652029826,
+      "grad_norm": 1.4921875,
+      "learning_rate": 9.853143674747053e-05,
+      "loss": 4.3156,
+      "mean_token_accuracy": 0.2496207669377327,
+      "num_tokens": 17689816.0,
+      "step": 9705
+    },
+    {
+      "entropy": 5.230922269821167,
+      "epoch": 8.04473902236951,
+      "grad_norm": 1.3984375,
+      "learning_rate": 9.833336985913965e-05,
+      "loss": 4.4079,
+      "mean_token_accuracy": 0.24356723576784134,
+      "num_tokens": 17699251.0,
+      "step": 9710
+    },
+    {
+      "entropy": 5.25123929977417,
+      "epoch": 8.048881524440763,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.813565932670767e-05,
+      "loss": 4.446,
+      "mean_token_accuracy": 0.24057540595531463,
+      "num_tokens": 17708906.0,
+      "step": 9715
+    },
+    {
+      "entropy": 5.302001190185547,
+      "epoch": 8.053024026512013,
+      "grad_norm": 1.4375,
+      "learning_rate": 9.793830554897826e-05,
+      "loss": 4.4337,
+      "mean_token_accuracy": 0.23162751942873,
+      "num_tokens": 17718071.0,
+      "step": 9720
+    },
+    {
+      "entropy": 5.1823859214782715,
+      "epoch": 8.057166528583265,
+      "grad_norm": 1.3515625,
+      "learning_rate": 9.774130892403566e-05,
+      "loss": 4.3382,
+      "mean_token_accuracy": 0.24795254766941072,
+      "num_tokens": 17727690.0,
+      "step": 9725
+    },
+    {
+      "entropy": 5.172320461273193,
+      "epoch": 8.061309030654515,
+      "grad_norm": 1.484375,
+      "learning_rate": 9.754466984924348e-05,
+      "loss": 4.3471,
+      "mean_token_accuracy": 0.2395310789346695,
+      "num_tokens": 17735934.0,
+      "step": 9730
+    },
+    {
+      "entropy": 5.17168607711792,
+      "epoch": 8.065451532725767,
+      "grad_norm": 1.4609375,
+      "learning_rate": 9.734838872124432e-05,
+      "loss": 4.3454,
+      "mean_token_accuracy": 0.24042212218046188,
+      "num_tokens": 17744323.0,
+      "step": 9735
+    },
+    {
+      "entropy": 5.1320466041564945,
+      "epoch": 8.069594034797017,
+      "grad_norm": 1.3515625,
+      "learning_rate": 9.715246593595859e-05,
+      "loss": 4.3431,
+      "mean_token_accuracy": 0.24951379895210266,
+      "num_tokens": 17753335.0,
+      "step": 9740
+    },
+    {
+      "entropy": 5.1748122215271,
+      "epoch": 8.07373653686827,
+      "grad_norm": 1.4609375,
+      "learning_rate": 9.695690188858408e-05,
+      "loss": 4.3963,
+      "mean_token_accuracy": 0.24002762883901596,
+      "num_tokens": 17761952.0,
+      "step": 9745
+    },
+    {
+      "entropy": 5.260321378707886,
+      "epoch": 8.07787903893952,
+      "grad_norm": 1.4765625,
+      "learning_rate": 9.676169697359469e-05,
+      "loss": 4.4649,
+      "mean_token_accuracy": 0.24228229522705078,
+      "num_tokens": 17771341.0,
+      "step": 9750
+    },
+    {
+      "entropy": 5.1761212825775145,
+      "epoch": 8.08202154101077,
+      "grad_norm": 1.328125,
+      "learning_rate": 9.656685158474018e-05,
+      "loss": 4.3596,
+      "mean_token_accuracy": 0.24516458809375763,
+      "num_tokens": 17780289.0,
+      "step": 9755
+    },
+    {
+      "entropy": 5.217165899276734,
+      "epoch": 8.086164043082022,
+      "grad_norm": 1.546875,
+      "learning_rate": 9.63723661150449e-05,
+      "loss": 4.4392,
+      "mean_token_accuracy": 0.23620954900979996,
+      "num_tokens": 17789317.0,
+      "step": 9760
+    },
+    {
+      "entropy": 5.302271842956543,
+      "epoch": 8.090306545153272,
+      "grad_norm": 1.515625,
+      "learning_rate": 9.617824095680742e-05,
+      "loss": 4.4804,
+      "mean_token_accuracy": 0.2370125576853752,
+      "num_tokens": 17797875.0,
+      "step": 9765
+    },
+    {
+      "entropy": 5.219267177581787,
+      "epoch": 8.094449047224524,
+      "grad_norm": 1.3203125,
+      "learning_rate": 9.598447650159931e-05,
+      "loss": 4.4245,
+      "mean_token_accuracy": 0.24013179689645767,
+      "num_tokens": 17806603.0,
+      "step": 9770
+    },
+    {
+      "entropy": 5.327665138244629,
+      "epoch": 8.098591549295774,
+      "grad_norm": 1.46875,
+      "learning_rate": 9.579107314026459e-05,
+      "loss": 4.5079,
+      "mean_token_accuracy": 0.22462410479784012,
+      "num_tokens": 17815747.0,
+      "step": 9775
+    },
+    {
+      "entropy": 5.211456394195556,
+      "epoch": 8.102734051367026,
+      "grad_norm": 1.359375,
+      "learning_rate": 9.559803126291911e-05,
+      "loss": 4.3642,
+      "mean_token_accuracy": 0.23971107304096223,
+      "num_tokens": 17824568.0,
+      "step": 9780
+    },
+    {
+      "entropy": 5.275164175033569,
+      "epoch": 8.106876553438276,
+      "grad_norm": 1.390625,
+      "learning_rate": 9.540535125894931e-05,
+      "loss": 4.4685,
+      "mean_token_accuracy": 0.24380181431770326,
+      "num_tokens": 17834244.0,
+      "step": 9785
+    },
+    {
+      "entropy": 5.198601388931275,
+      "epoch": 8.111019055509528,
+      "grad_norm": 1.46875,
+      "learning_rate": 9.521303351701193e-05,
+      "loss": 4.3476,
+      "mean_token_accuracy": 0.24773648232221604,
+      "num_tokens": 17843285.0,
+      "step": 9790
+    },
+    {
+      "entropy": 5.232069730758667,
+      "epoch": 8.115161557580779,
+      "grad_norm": 1.390625,
+      "learning_rate": 9.502107842503282e-05,
+      "loss": 4.4455,
+      "mean_token_accuracy": 0.24342902153730392,
+      "num_tokens": 17852379.0,
+      "step": 9795
+    },
+    {
+      "entropy": 5.213220930099487,
+      "epoch": 8.11930405965203,
+      "grad_norm": 1.4375,
+      "learning_rate": 9.48294863702063e-05,
+      "loss": 4.3962,
+      "mean_token_accuracy": 0.24655861258506775,
+      "num_tokens": 17861948.0,
+      "step": 9800
+    },
+    {
+      "entropy": 5.206108331680298,
+      "epoch": 8.12344656172328,
+      "grad_norm": 1.40625,
+      "learning_rate": 9.463825773899465e-05,
+      "loss": 4.3549,
+      "mean_token_accuracy": 0.24822819530963897,
+      "num_tokens": 17870445.0,
+      "step": 9805
+    },
+    {
+      "entropy": 5.2526586055755615,
+      "epoch": 8.127589063794533,
+      "grad_norm": 1.3984375,
+      "learning_rate": 9.444739291712673e-05,
+      "loss": 4.4184,
+      "mean_token_accuracy": 0.2502383813261986,
+      "num_tokens": 17879380.0,
+      "step": 9810
+    },
+    {
+      "entropy": 5.200527477264404,
+      "epoch": 8.131731565865783,
+      "grad_norm": 1.3671875,
+      "learning_rate": 9.425689228959791e-05,
+      "loss": 4.4375,
+      "mean_token_accuracy": 0.23672084957361222,
+      "num_tokens": 17888631.0,
+      "step": 9815
+    },
+    {
+      "entropy": 5.180902576446533,
+      "epoch": 8.135874067937033,
+      "grad_norm": 1.390625,
+      "learning_rate": 9.406675624066868e-05,
+      "loss": 4.3782,
+      "mean_token_accuracy": 0.2451987087726593,
+      "num_tokens": 17898541.0,
+      "step": 9820
+    },
+    {
+      "entropy": 5.233185815811157,
+      "epoch": 8.140016570008285,
+      "grad_norm": 1.5078125,
+      "learning_rate": 9.38769851538642e-05,
+      "loss": 4.3855,
+      "mean_token_accuracy": 0.24561118185520173,
+      "num_tokens": 17906664.0,
+      "step": 9825
+    },
+    {
+      "entropy": 5.207144069671631,
+      "epoch": 8.144159072079535,
+      "grad_norm": 1.4609375,
+      "learning_rate": 9.368757941197356e-05,
+      "loss": 4.3938,
+      "mean_token_accuracy": 0.24579526335000992,
+      "num_tokens": 17916201.0,
+      "step": 9830
+    },
+    {
+      "entropy": 5.240351390838623,
+      "epoch": 8.148301574150787,
+      "grad_norm": 1.2734375,
+      "learning_rate": 9.34985393970488e-05,
+      "loss": 4.4433,
+      "mean_token_accuracy": 0.23590292483568193,
+      "num_tokens": 17925700.0,
+      "step": 9835
+    },
+    {
+      "entropy": 5.180185317993164,
+      "epoch": 8.152444076222038,
+      "grad_norm": 1.421875,
+      "learning_rate": 9.330986549040432e-05,
+      "loss": 4.3908,
+      "mean_token_accuracy": 0.24027481973171233,
+      "num_tokens": 17934293.0,
+      "step": 9840
+    },
+    {
+      "entropy": 5.178470325469971,
+      "epoch": 8.15658657829329,
+      "grad_norm": 1.34375,
+      "learning_rate": 9.312155807261602e-05,
+      "loss": 4.4131,
+      "mean_token_accuracy": 0.2327113226056099,
+      "num_tokens": 17943541.0,
+      "step": 9845
+    },
+    {
+      "entropy": 5.2424520492553714,
+      "epoch": 8.16072908036454,
+      "grad_norm": 1.2890625,
+      "learning_rate": 9.293361752352045e-05,
+      "loss": 4.4064,
+      "mean_token_accuracy": 0.24514926224946976,
+      "num_tokens": 17952616.0,
+      "step": 9850
+    },
+    {
+      "entropy": 5.255953550338745,
+      "epoch": 8.164871582435792,
+      "grad_norm": 1.328125,
+      "learning_rate": 9.274604422221433e-05,
+      "loss": 4.3449,
+      "mean_token_accuracy": 0.2437419757246971,
+      "num_tokens": 17961414.0,
+      "step": 9855
+    },
+    {
+      "entropy": 5.2429039001464846,
+      "epoch": 8.169014084507042,
+      "grad_norm": 1.421875,
+      "learning_rate": 9.255883854705344e-05,
+      "loss": 4.4505,
+      "mean_token_accuracy": 0.23757243603467942,
+      "num_tokens": 17972077.0,
+      "step": 9860
+    },
+    {
+      "entropy": 5.207650089263916,
+      "epoch": 8.173156586578294,
+      "grad_norm": 1.4375,
+      "learning_rate": 9.237200087565217e-05,
+      "loss": 4.3777,
+      "mean_token_accuracy": 0.2455221474170685,
+      "num_tokens": 17980303.0,
+      "step": 9865
+    },
+    {
+      "entropy": 5.269549179077148,
+      "epoch": 8.177299088649544,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.218553158488238e-05,
+      "loss": 4.4719,
+      "mean_token_accuracy": 0.23264755457639694,
+      "num_tokens": 17990410.0,
+      "step": 9870
+    },
+    {
+      "entropy": 5.2003992080688475,
+      "epoch": 8.181441590720794,
+      "grad_norm": 1.390625,
+      "learning_rate": 9.199943105087319e-05,
+      "loss": 4.351,
+      "mean_token_accuracy": 0.24489290416240692,
+      "num_tokens": 17998931.0,
+      "step": 9875
+    },
+    {
+      "entropy": 5.211326789855957,
+      "epoch": 8.185584092792046,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.181369964900957e-05,
+      "loss": 4.4133,
+      "mean_token_accuracy": 0.24307847917079925,
+      "num_tokens": 18007853.0,
+      "step": 9880
+    },
+    {
+      "entropy": 5.2086700916290285,
+      "epoch": 8.189726594863297,
+      "grad_norm": 1.421875,
+      "learning_rate": 9.162833775393209e-05,
+      "loss": 4.3599,
+      "mean_token_accuracy": 0.2421637535095215,
+      "num_tokens": 18016517.0,
+      "step": 9885
+    },
+    {
+      "entropy": 5.26172833442688,
+      "epoch": 8.193869096934549,
+      "grad_norm": 1.4609375,
+      "learning_rate": 9.1443345739536e-05,
+      "loss": 4.4611,
+      "mean_token_accuracy": 0.2355372652411461,
+      "num_tokens": 18025057.0,
+      "step": 9890
+    },
+    {
+      "entropy": 5.222227954864502,
+      "epoch": 8.198011599005799,
+      "grad_norm": 1.4375,
+      "learning_rate": 9.12587239789703e-05,
+      "loss": 4.4596,
+      "mean_token_accuracy": 0.23549663424491882,
+      "num_tokens": 18034371.0,
+      "step": 9895
+    },
+    {
+      "entropy": 5.189918756484985,
+      "epoch": 8.202154101077051,
+      "grad_norm": 1.4453125,
+      "learning_rate": 9.10744728446374e-05,
+      "loss": 4.4308,
+      "mean_token_accuracy": 0.23917066752910615,
+      "num_tokens": 18043354.0,
+      "step": 9900
+    },
+    {
+      "entropy": 5.180388689041138,
+      "epoch": 8.206296603148301,
+      "grad_norm": 1.484375,
+      "learning_rate": 9.089059270819187e-05,
+      "loss": 4.3861,
+      "mean_token_accuracy": 0.2423325479030609,
+      "num_tokens": 18051879.0,
+      "step": 9905
+    },
+    {
+      "entropy": 5.280764532089234,
+      "epoch": 8.210439105219553,
+      "grad_norm": 1.359375,
+      "learning_rate": 9.070708394054005e-05,
+      "loss": 4.4389,
+      "mean_token_accuracy": 0.23874785751104355,
+      "num_tokens": 18062011.0,
+      "step": 9910
+    },
+    {
+      "entropy": 5.26232795715332,
+      "epoch": 8.214581607290803,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.052394691183921e-05,
+      "loss": 4.5075,
+      "mean_token_accuracy": 0.2256281480193138,
+      "num_tokens": 18071692.0,
+      "step": 9915
+    },
+    {
+      "entropy": 5.1943741798400875,
+      "epoch": 8.218724109362055,
+      "grad_norm": 1.3359375,
+      "learning_rate": 9.03411819914967e-05,
+      "loss": 4.3481,
+      "mean_token_accuracy": 0.24199035614728928,
+      "num_tokens": 18080646.0,
+      "step": 9920
+    },
+    {
+      "entropy": 5.1856715202331545,
+      "epoch": 8.222866611433306,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.015878954816941e-05,
+      "loss": 4.3647,
+      "mean_token_accuracy": 0.24757557958364487,
+      "num_tokens": 18088788.0,
+      "step": 9925
+    },
+    {
+      "entropy": 5.228688716888428,
+      "epoch": 8.227009113504558,
+      "grad_norm": 1.453125,
+      "learning_rate": 8.997676994976281e-05,
+      "loss": 4.4286,
+      "mean_token_accuracy": 0.23555690944194793,
+      "num_tokens": 18098319.0,
+      "step": 9930
+    },
+    {
+      "entropy": 5.214864444732666,
+      "epoch": 8.231151615575808,
+      "grad_norm": 1.34375,
+      "learning_rate": 8.979512356343023e-05,
+      "loss": 4.4766,
+      "mean_token_accuracy": 0.23683355748653412,
+      "num_tokens": 18107740.0,
+      "step": 9935
+    },
+    {
+      "entropy": 5.220425271987915,
+      "epoch": 8.235294117647058,
+      "grad_norm": 1.4453125,
+      "learning_rate": 8.961385075557243e-05,
+      "loss": 4.4552,
+      "mean_token_accuracy": 0.2304172098636627,
+      "num_tokens": 18117762.0,
+      "step": 9940
+    },
+    {
+      "entropy": 5.15520453453064,
+      "epoch": 8.23943661971831,
+      "grad_norm": 1.5,
+      "learning_rate": 8.943295189183632e-05,
+      "loss": 4.3286,
+      "mean_token_accuracy": 0.24465882033109665,
+      "num_tokens": 18126212.0,
+      "step": 9945
+    },
+    {
+      "entropy": 5.267645978927613,
+      "epoch": 8.24357912178956,
+      "grad_norm": 1.53125,
+      "learning_rate": 8.925242733711484e-05,
+      "loss": 4.4863,
+      "mean_token_accuracy": 0.23138361871242524,
+      "num_tokens": 18135622.0,
+      "step": 9950
+    },
+    {
+      "entropy": 5.260131311416626,
+      "epoch": 8.247721623860812,
+      "grad_norm": 1.5078125,
+      "learning_rate": 8.90722774555456e-05,
+      "loss": 4.4379,
+      "mean_token_accuracy": 0.23949550539255143,
+      "num_tokens": 18144768.0,
+      "step": 9955
+    },
+    {
+      "entropy": 5.2012913703918455,
+      "epoch": 8.251864125932062,
+      "grad_norm": 1.4296875,
+      "learning_rate": 8.889250261051063e-05,
+      "loss": 4.4585,
+      "mean_token_accuracy": 0.24050324261188508,
+      "num_tokens": 18155107.0,
+      "step": 9960
+    },
+    {
+      "entropy": 5.184732866287232,
+      "epoch": 8.256006628003314,
+      "grad_norm": 1.328125,
+      "learning_rate": 8.871310316463554e-05,
+      "loss": 4.414,
+      "mean_token_accuracy": 0.2437386229634285,
+      "num_tokens": 18164064.0,
+      "step": 9965
+    },
+    {
+      "entropy": 5.180590391159058,
+      "epoch": 8.260149130074565,
+      "grad_norm": 1.5234375,
+      "learning_rate": 8.853407947978845e-05,
+      "loss": 4.4594,
+      "mean_token_accuracy": 0.22373423725366592,
+      "num_tokens": 18172714.0,
+      "step": 9970
+    },
+    {
+      "entropy": 5.212049150466919,
+      "epoch": 8.264291632145817,
+      "grad_norm": 1.2890625,
+      "learning_rate": 8.835543191707982e-05,
+      "loss": 4.4596,
+      "mean_token_accuracy": 0.23423371762037276,
+      "num_tokens": 18182158.0,
+      "step": 9975
+    },
+    {
+      "entropy": 5.2256406307220455,
+      "epoch": 8.268434134217067,
+      "grad_norm": 1.5390625,
+      "learning_rate": 8.81771608368613e-05,
+      "loss": 4.4242,
+      "mean_token_accuracy": 0.23679217398166658,
+      "num_tokens": 18190605.0,
+      "step": 9980
+    },
+    {
+      "entropy": 5.228875350952149,
+      "epoch": 8.272576636288319,
+      "grad_norm": 1.484375,
+      "learning_rate": 8.799926659872507e-05,
+      "loss": 4.603,
+      "mean_token_accuracy": 0.2188064604997635,
+      "num_tokens": 18199992.0,
+      "step": 9985
+    },
+    {
+      "entropy": 5.269665288925171,
+      "epoch": 8.276719138359569,
+      "grad_norm": 1.453125,
+      "learning_rate": 8.782174956150335e-05,
+      "loss": 4.443,
+      "mean_token_accuracy": 0.2395315259695053,
+      "num_tokens": 18208641.0,
+      "step": 9990
+    },
+    {
+      "entropy": 5.248885774612427,
+      "epoch": 8.280861640430821,
+      "grad_norm": 1.359375,
+      "learning_rate": 8.764461008326723e-05,
+      "loss": 4.4454,
+      "mean_token_accuracy": 0.23489948213100434,
+      "num_tokens": 18218355.0,
+      "step": 9995
+    },
+    {
+      "entropy": 5.2219267845153805,
+      "epoch": 8.285004142502071,
+      "grad_norm": 1.4296875,
+      "learning_rate": 8.746784852132661e-05,
+      "loss": 4.4601,
+      "mean_token_accuracy": 0.23617841601371764,
+      "num_tokens": 18227217.0,
+      "step": 10000
+    },
+    {
+      "epoch": 8.285004142502071,
+      "eval_entropy": 5.130554149399942,
+      "eval_loss": 5.7228922843933105,
+      "eval_mean_token_accuracy": 0.16913784141225346,
+      "eval_num_tokens": 18227217.0,
+      "eval_runtime": 2.7555,
+      "eval_samples_per_second": 1359.835,
+      "eval_steps_per_second": 170.206,
+      "step": 10000
+    },
+    {
+      "entropy": 5.189085817337036,
+      "epoch": 8.289146644573322,
+      "grad_norm": 1.3671875,
+      "learning_rate": 8.729146523222877e-05,
+      "loss": 4.3974,
+      "mean_token_accuracy": 0.2361637681722641,
+      "num_tokens": 18236410.0,
+      "step": 10005
+    },
+    {
+      "entropy": 5.244648122787476,
+      "epoch": 8.293289146644574,
+      "grad_norm": 1.5703125,
+      "learning_rate": 8.711546057175804e-05,
+      "loss": 4.4474,
+      "mean_token_accuracy": 0.23846692740917205,
+      "num_tokens": 18244626.0,
+      "step": 10010
+    },
+    {
+      "entropy": 5.270169019699097,
+      "epoch": 8.297431648715824,
+      "grad_norm": 1.359375,
+      "learning_rate": 8.69398348949351e-05,
+      "loss": 4.4535,
+      "mean_token_accuracy": 0.23619772642850875,
+      "num_tokens": 18253938.0,
+      "step": 10015
+    },
+    {
+      "entropy": 5.18985161781311,
+      "epoch": 8.301574150787076,
+      "grad_norm": 1.5234375,
+      "learning_rate": 8.676458855601612e-05,
+      "loss": 4.4505,
+      "mean_token_accuracy": 0.23596869856119157,
+      "num_tokens": 18262674.0,
+      "step": 10020
+    },
+    {
+      "entropy": 5.250480699539184,
+      "epoch": 8.305716652858326,
+      "grad_norm": 1.3515625,
+      "learning_rate": 8.658972190849215e-05,
+      "loss": 4.4817,
+      "mean_token_accuracy": 0.23379983603954316,
+      "num_tokens": 18272558.0,
+      "step": 10025
+    },
+    {
+      "entropy": 5.291120862960815,
+      "epoch": 8.309859154929578,
+      "grad_norm": 1.53125,
+      "learning_rate": 8.641523530508827e-05,
+      "loss": 4.4931,
+      "mean_token_accuracy": 0.23938387334346772,
+      "num_tokens": 18282522.0,
+      "step": 10030
+    },
+    {
+      "entropy": 5.273213243484497,
+      "epoch": 8.314001657000828,
+      "grad_norm": 1.390625,
+      "learning_rate": 8.624112909776314e-05,
+      "loss": 4.4294,
+      "mean_token_accuracy": 0.23269279450178146,
+      "num_tokens": 18290933.0,
+      "step": 10035
+    },
+    {
+      "entropy": 5.212837028503418,
+      "epoch": 8.31814415907208,
+      "grad_norm": 1.421875,
+      "learning_rate": 8.606740363770788e-05,
+      "loss": 4.4088,
+      "mean_token_accuracy": 0.23555412590503694,
+      "num_tokens": 18300705.0,
+      "step": 10040
+    },
+    {
+      "entropy": 5.238656616210937,
+      "epoch": 8.32228666114333,
+      "grad_norm": 1.4375,
+      "learning_rate": 8.589405927534571e-05,
+      "loss": 4.4081,
+      "mean_token_accuracy": 0.244551882147789,
+      "num_tokens": 18309889.0,
+      "step": 10045
+    },
+    {
+      "entropy": 5.242896318435669,
+      "epoch": 8.326429163214582,
+      "grad_norm": 1.4609375,
+      "learning_rate": 8.57210963603313e-05,
+      "loss": 4.4503,
+      "mean_token_accuracy": 0.23040195405483246,
+      "num_tokens": 18319282.0,
+      "step": 10050
+    },
+    {
+      "entropy": 5.290544414520264,
+      "epoch": 8.330571665285833,
+      "grad_norm": 1.46875,
+      "learning_rate": 8.554851524154961e-05,
+      "loss": 4.4914,
+      "mean_token_accuracy": 0.23957772552967072,
+      "num_tokens": 18328713.0,
+      "step": 10055
+    },
+    {
+      "entropy": 5.18739800453186,
+      "epoch": 8.334714167357085,
+      "grad_norm": 1.5546875,
+      "learning_rate": 8.537631626711573e-05,
+      "loss": 4.3541,
+      "mean_token_accuracy": 0.24801484048366546,
+      "num_tokens": 18337262.0,
+      "step": 10060
+    },
+    {
+      "entropy": 5.273202228546142,
+      "epoch": 8.338856669428335,
+      "grad_norm": 1.296875,
+      "learning_rate": 8.520449978437372e-05,
+      "loss": 4.4515,
+      "mean_token_accuracy": 0.24038465470075607,
+      "num_tokens": 18346699.0,
+      "step": 10065
+    },
+    {
+      "entropy": 5.202633285522461,
+      "epoch": 8.342999171499585,
+      "grad_norm": 1.4140625,
+      "learning_rate": 8.50330661398962e-05,
+      "loss": 4.3765,
+      "mean_token_accuracy": 0.23907299488782882,
+      "num_tokens": 18355466.0,
+      "step": 10070
+    },
+    {
+      "entropy": 5.197913932800293,
+      "epoch": 8.347141673570837,
+      "grad_norm": 1.4921875,
+      "learning_rate": 8.486201567948363e-05,
+      "loss": 4.3871,
+      "mean_token_accuracy": 0.23954783082008363,
+      "num_tokens": 18363988.0,
+      "step": 10075
+    },
+    {
+      "entropy": 5.277276611328125,
+      "epoch": 8.351284175642087,
+      "grad_norm": 1.2734375,
+      "learning_rate": 8.469134874816342e-05,
+      "loss": 4.5177,
+      "mean_token_accuracy": 0.23427421301603318,
+      "num_tokens": 18373784.0,
+      "step": 10080
+    },
+    {
+      "entropy": 5.225943231582642,
+      "epoch": 8.35542667771334,
+      "grad_norm": 1.4296875,
+      "learning_rate": 8.45210656901895e-05,
+      "loss": 4.3798,
+      "mean_token_accuracy": 0.24082893282175064,
+      "num_tokens": 18382929.0,
+      "step": 10085
+    },
+    {
+      "entropy": 5.265467834472656,
+      "epoch": 8.35956917978459,
+      "grad_norm": 1.484375,
+      "learning_rate": 8.435116684904136e-05,
+      "loss": 4.4526,
+      "mean_token_accuracy": 0.23882831037044525,
+      "num_tokens": 18392399.0,
+      "step": 10090
+    },
+    {
+      "entropy": 5.2780547618865965,
+      "epoch": 8.363711681855841,
+      "grad_norm": 1.3359375,
+      "learning_rate": 8.418165256742346e-05,
+      "loss": 4.542,
+      "mean_token_accuracy": 0.22470442056655884,
+      "num_tokens": 18402255.0,
+      "step": 10095
+    },
+    {
+      "entropy": 5.233971357345581,
+      "epoch": 8.367854183927092,
+      "grad_norm": 1.296875,
+      "learning_rate": 8.401252318726473e-05,
+      "loss": 4.4252,
+      "mean_token_accuracy": 0.24408935755491257,
+      "num_tokens": 18411677.0,
+      "step": 10100
+    },
+    {
+      "entropy": 5.181299114227295,
+      "epoch": 8.371996685998344,
+      "grad_norm": 1.5390625,
+      "learning_rate": 8.384377904971753e-05,
+      "loss": 4.4185,
+      "mean_token_accuracy": 0.23354480415582657,
+      "num_tokens": 18420332.0,
+      "step": 10105
+    },
+    {
+      "entropy": 5.126711988449097,
+      "epoch": 8.376139188069594,
+      "grad_norm": 1.46875,
+      "learning_rate": 8.367542049515733e-05,
+      "loss": 4.3243,
+      "mean_token_accuracy": 0.2377860352396965,
+      "num_tokens": 18429542.0,
+      "step": 10110
+    },
+    {
+      "entropy": 5.238503551483154,
+      "epoch": 8.380281690140846,
+      "grad_norm": 1.4375,
+      "learning_rate": 8.350744786318168e-05,
+      "loss": 4.4209,
+      "mean_token_accuracy": 0.24683155715465546,
+      "num_tokens": 18439064.0,
+      "step": 10115
+    },
+    {
+      "entropy": 5.191628503799438,
+      "epoch": 8.384424192212096,
+      "grad_norm": 1.3984375,
+      "learning_rate": 8.33398614926097e-05,
+      "loss": 4.4405,
+      "mean_token_accuracy": 0.23440641164779663,
+      "num_tokens": 18449001.0,
+      "step": 10120
+    },
+    {
+      "entropy": 5.227044200897216,
+      "epoch": 8.388566694283346,
+      "grad_norm": 1.2890625,
+      "learning_rate": 8.317266172148145e-05,
+      "loss": 4.4,
+      "mean_token_accuracy": 0.24424718767404557,
+      "num_tokens": 18458105.0,
+      "step": 10125
+    },
+    {
+      "entropy": 5.222586965560913,
+      "epoch": 8.392709196354598,
+      "grad_norm": 1.5078125,
+      "learning_rate": 8.300584888705709e-05,
+      "loss": 4.4574,
+      "mean_token_accuracy": 0.23139263391494752,
+      "num_tokens": 18466975.0,
+      "step": 10130
+    },
+    {
+      "entropy": 5.1690774917602536,
+      "epoch": 8.396851698425849,
+      "grad_norm": 1.34375,
+      "learning_rate": 8.283942332581644e-05,
+      "loss": 4.3477,
+      "mean_token_accuracy": 0.25254258811473845,
+      "num_tokens": 18475543.0,
+      "step": 10135
+    },
+    {
+      "entropy": 5.1052000522613525,
+      "epoch": 8.4009942004971,
+      "grad_norm": 1.3515625,
+      "learning_rate": 8.267338537345792e-05,
+      "loss": 4.3078,
+      "mean_token_accuracy": 0.2526886507868767,
+      "num_tokens": 18484399.0,
+      "step": 10140
+    },
+    {
+      "entropy": 5.153526496887207,
+      "epoch": 8.40513670256835,
+      "grad_norm": 1.53125,
+      "learning_rate": 8.250773536489833e-05,
+      "loss": 4.4435,
+      "mean_token_accuracy": 0.22786851227283478,
+      "num_tokens": 18493168.0,
+      "step": 10145
+    },
+    {
+      "entropy": 5.12832818031311,
+      "epoch": 8.409279204639603,
+      "grad_norm": 1.328125,
+      "learning_rate": 8.234247363427174e-05,
+      "loss": 4.4062,
+      "mean_token_accuracy": 0.23227766901254654,
+      "num_tokens": 18502624.0,
+      "step": 10150
+    },
+    {
+      "entropy": 5.1949280261993405,
+      "epoch": 8.413421706710853,
+      "grad_norm": 1.4296875,
+      "learning_rate": 8.217760051492926e-05,
+      "loss": 4.3773,
+      "mean_token_accuracy": 0.24500519186258315,
+      "num_tokens": 18510990.0,
+      "step": 10155
+    },
+    {
+      "entropy": 5.185572957992553,
+      "epoch": 8.417564208782105,
+      "grad_norm": 1.421875,
+      "learning_rate": 8.201311633943788e-05,
+      "loss": 4.3771,
+      "mean_token_accuracy": 0.23713377714157105,
+      "num_tokens": 18519490.0,
+      "step": 10160
+    },
+    {
+      "entropy": 5.2189507484436035,
+      "epoch": 8.421706710853355,
+      "grad_norm": 1.375,
+      "learning_rate": 8.184902143958013e-05,
+      "loss": 4.423,
+      "mean_token_accuracy": 0.2332186371088028,
+      "num_tokens": 18528827.0,
+      "step": 10165
+    },
+    {
+      "entropy": 5.175855875015259,
+      "epoch": 8.425849212924607,
+      "grad_norm": 1.53125,
+      "learning_rate": 8.168531614635347e-05,
+      "loss": 4.4199,
+      "mean_token_accuracy": 0.23608411699533463,
+      "num_tokens": 18537592.0,
+      "step": 10170
+    },
+    {
+      "entropy": 5.2588996410369875,
+      "epoch": 8.429991714995857,
+      "grad_norm": 1.453125,
+      "learning_rate": 8.152200078996924e-05,
+      "loss": 4.5155,
+      "mean_token_accuracy": 0.23638325929641724,
+      "num_tokens": 18547253.0,
+      "step": 10175
+    },
+    {
+      "entropy": 5.2214000701904295,
+      "epoch": 8.434134217067108,
+      "grad_norm": 1.4609375,
+      "learning_rate": 8.135907569985248e-05,
+      "loss": 4.4527,
+      "mean_token_accuracy": 0.23231977820396424,
+      "num_tokens": 18556658.0,
+      "step": 10180
+    },
+    {
+      "entropy": 5.200859260559082,
+      "epoch": 8.43827671913836,
+      "grad_norm": 1.3359375,
+      "learning_rate": 8.119654120464077e-05,
+      "loss": 4.3935,
+      "mean_token_accuracy": 0.2399752229452133,
+      "num_tokens": 18565594.0,
+      "step": 10185
+    },
+    {
+      "entropy": 5.211322498321533,
+      "epoch": 8.44241922120961,
+      "grad_norm": 1.53125,
+      "learning_rate": 8.103439763218411e-05,
+      "loss": 4.4234,
+      "mean_token_accuracy": 0.2339351773262024,
+      "num_tokens": 18574033.0,
+      "step": 10190
+    },
+    {
+      "entropy": 5.202614641189575,
+      "epoch": 8.446561723280862,
+      "grad_norm": 1.453125,
+      "learning_rate": 8.087264530954362e-05,
+      "loss": 4.4269,
+      "mean_token_accuracy": 0.233833409845829,
+      "num_tokens": 18583064.0,
+      "step": 10195
+    },
+    {
+      "entropy": 5.293605899810791,
+      "epoch": 8.450704225352112,
+      "grad_norm": 1.3828125,
+      "learning_rate": 8.071128456299159e-05,
+      "loss": 4.5161,
+      "mean_token_accuracy": 0.2285238817334175,
+      "num_tokens": 18591910.0,
+      "step": 10200
+    },
+    {
+      "entropy": 5.248147439956665,
+      "epoch": 8.454846727423364,
+      "grad_norm": 1.5078125,
+      "learning_rate": 8.055031571801013e-05,
+      "loss": 4.42,
+      "mean_token_accuracy": 0.24132785946130753,
+      "num_tokens": 18600880.0,
+      "step": 10205
+    },
+    {
+      "entropy": 5.328955936431885,
+      "epoch": 8.458989229494614,
+      "grad_norm": 1.5703125,
+      "learning_rate": 8.038973909929112e-05,
+      "loss": 4.6032,
+      "mean_token_accuracy": 0.22523417323827744,
+      "num_tokens": 18610407.0,
+      "step": 10210
+    },
+    {
+      "entropy": 5.234103345870972,
+      "epoch": 8.463131731565866,
+      "grad_norm": 1.4921875,
+      "learning_rate": 8.022955503073502e-05,
+      "loss": 4.468,
+      "mean_token_accuracy": 0.23666063845157623,
+      "num_tokens": 18620166.0,
+      "step": 10215
+    },
+    {
+      "entropy": 5.195783424377441,
+      "epoch": 8.467274233637117,
+      "grad_norm": 1.5,
+      "learning_rate": 8.006976383545071e-05,
+      "loss": 4.3991,
+      "mean_token_accuracy": 0.23298656940460205,
+      "num_tokens": 18628851.0,
+      "step": 10220
+    },
+    {
+      "entropy": 5.20527925491333,
+      "epoch": 8.471416735708369,
+      "grad_norm": 1.4609375,
+      "learning_rate": 7.991036583575448e-05,
+      "loss": 4.4305,
+      "mean_token_accuracy": 0.24241199791431428,
+      "num_tokens": 18637921.0,
+      "step": 10225
+    },
+    {
+      "entropy": 5.195417594909668,
+      "epoch": 8.475559237779619,
+      "grad_norm": 1.34375,
+      "learning_rate": 7.975136135316941e-05,
+      "loss": 4.3642,
+      "mean_token_accuracy": 0.24671109169721603,
+      "num_tokens": 18647291.0,
+      "step": 10230
+    },
+    {
+      "entropy": 5.1769211769104,
+      "epoch": 8.47970173985087,
+      "grad_norm": 1.453125,
+      "learning_rate": 7.959275070842502e-05,
+      "loss": 4.3915,
+      "mean_token_accuracy": 0.23937203139066696,
+      "num_tokens": 18656252.0,
+      "step": 10235
+    },
+    {
+      "entropy": 5.176210403442383,
+      "epoch": 8.483844241922121,
+      "grad_norm": 1.3125,
+      "learning_rate": 7.943453422145626e-05,
+      "loss": 4.417,
+      "mean_token_accuracy": 0.24022968858480453,
+      "num_tokens": 18666199.0,
+      "step": 10240
+    },
+    {
+      "entropy": 5.217723751068116,
+      "epoch": 8.487986743993371,
+      "grad_norm": 1.46875,
+      "learning_rate": 7.927671221140317e-05,
+      "loss": 4.4517,
+      "mean_token_accuracy": 0.23993866443634032,
+      "num_tokens": 18675573.0,
+      "step": 10245
+    },
+    {
+      "entropy": 5.252127313613892,
+      "epoch": 8.492129246064623,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.911928499660986e-05,
+      "loss": 4.4263,
+      "mean_token_accuracy": 0.237184576690197,
+      "num_tokens": 18684627.0,
+      "step": 10250
+    },
+    {
+      "entropy": 5.2742616653442385,
+      "epoch": 8.496271748135873,
+      "grad_norm": 1.296875,
+      "learning_rate": 7.896225289462426e-05,
+      "loss": 4.4702,
+      "mean_token_accuracy": 0.22651803195476533,
+      "num_tokens": 18694287.0,
+      "step": 10255
+    },
+    {
+      "entropy": 5.209424877166748,
+      "epoch": 8.500414250207125,
+      "grad_norm": 1.5546875,
+      "learning_rate": 7.880561622219735e-05,
+      "loss": 4.4389,
+      "mean_token_accuracy": 0.23508745133876802,
+      "num_tokens": 18704014.0,
+      "step": 10260
+    },
+    {
+      "entropy": 5.209544658660889,
+      "epoch": 8.504556752278376,
+      "grad_norm": 1.453125,
+      "learning_rate": 7.864937529528232e-05,
+      "loss": 4.4197,
+      "mean_token_accuracy": 0.24119794815778733,
+      "num_tokens": 18713030.0,
+      "step": 10265
+    },
+    {
+      "entropy": 5.262354707717895,
+      "epoch": 8.508699254349628,
+      "grad_norm": 1.5078125,
+      "learning_rate": 7.849353042903428e-05,
+      "loss": 4.4526,
+      "mean_token_accuracy": 0.24413182735443115,
+      "num_tokens": 18721911.0,
+      "step": 10270
+    },
+    {
+      "entropy": 5.194427108764648,
+      "epoch": 8.512841756420878,
+      "grad_norm": 1.3828125,
+      "learning_rate": 7.833808193780934e-05,
+      "loss": 4.3903,
+      "mean_token_accuracy": 0.24381678253412248,
+      "num_tokens": 18730688.0,
+      "step": 10275
+    },
+    {
+      "entropy": 5.237134313583374,
+      "epoch": 8.51698425849213,
+      "grad_norm": 1.2890625,
+      "learning_rate": 7.818303013516401e-05,
+      "loss": 4.4752,
+      "mean_token_accuracy": 0.23708440065383912,
+      "num_tokens": 18740214.0,
+      "step": 10280
+    },
+    {
+      "entropy": 5.19223198890686,
+      "epoch": 8.52112676056338,
+      "grad_norm": 1.453125,
+      "learning_rate": 7.802837533385482e-05,
+      "loss": 4.4394,
+      "mean_token_accuracy": 0.2367953270673752,
+      "num_tokens": 18748837.0,
+      "step": 10285
+    },
+    {
+      "entropy": 5.169844484329223,
+      "epoch": 8.525269262634632,
+      "grad_norm": 1.515625,
+      "learning_rate": 7.787411784583733e-05,
+      "loss": 4.3104,
+      "mean_token_accuracy": 0.248037089407444,
+      "num_tokens": 18757482.0,
+      "step": 10290
+    },
+    {
+      "entropy": 5.144911432266236,
+      "epoch": 8.529411764705882,
+      "grad_norm": 1.3671875,
+      "learning_rate": 7.772025798226582e-05,
+      "loss": 4.4084,
+      "mean_token_accuracy": 0.2401130571961403,
+      "num_tokens": 18766326.0,
+      "step": 10295
+    },
+    {
+      "entropy": 5.309397840499878,
+      "epoch": 8.533554266777134,
+      "grad_norm": 1.578125,
+      "learning_rate": 7.756679605349241e-05,
+      "loss": 4.5022,
+      "mean_token_accuracy": 0.2320367693901062,
+      "num_tokens": 18774287.0,
+      "step": 10300
+    },
+    {
+      "entropy": 5.217145586013794,
+      "epoch": 8.537696768848384,
+      "grad_norm": 1.25,
+      "learning_rate": 7.741373236906658e-05,
+      "loss": 4.484,
+      "mean_token_accuracy": 0.23230270594358443,
+      "num_tokens": 18785172.0,
+      "step": 10305
+    },
+    {
+      "entropy": 5.186282730102539,
+      "epoch": 8.541839270919635,
+      "grad_norm": 1.4609375,
+      "learning_rate": 7.726106723773452e-05,
+      "loss": 4.4807,
+      "mean_token_accuracy": 0.22887564748525618,
+      "num_tokens": 18794294.0,
+      "step": 10310
+    },
+    {
+      "entropy": 5.26285572052002,
+      "epoch": 8.545981772990887,
+      "grad_norm": 1.453125,
+      "learning_rate": 7.710880096743845e-05,
+      "loss": 4.4681,
+      "mean_token_accuracy": 0.2354227989912033,
+      "num_tokens": 18803108.0,
+      "step": 10315
+    },
+    {
+      "entropy": 5.212899780273437,
+      "epoch": 8.550124275062137,
+      "grad_norm": 1.5234375,
+      "learning_rate": 7.695693386531612e-05,
+      "loss": 4.4197,
+      "mean_token_accuracy": 0.24306773543357849,
+      "num_tokens": 18811215.0,
+      "step": 10320
+    },
+    {
+      "entropy": 5.214504623413086,
+      "epoch": 8.554266777133389,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.680546623770001e-05,
+      "loss": 4.5113,
+      "mean_token_accuracy": 0.23043400049209595,
+      "num_tokens": 18820796.0,
+      "step": 10325
+    },
+    {
+      "entropy": 5.33404221534729,
+      "epoch": 8.55840927920464,
+      "grad_norm": 1.40625,
+      "learning_rate": 7.665439839011701e-05,
+      "loss": 4.554,
+      "mean_token_accuracy": 0.21822466552257538,
+      "num_tokens": 18830673.0,
+      "step": 10330
+    },
+    {
+      "entropy": 5.219755029678344,
+      "epoch": 8.562551781275891,
+      "grad_norm": 1.515625,
+      "learning_rate": 7.650373062728735e-05,
+      "loss": 4.4567,
+      "mean_token_accuracy": 0.23806945085525513,
+      "num_tokens": 18839898.0,
+      "step": 10335
+    },
+    {
+      "entropy": 5.2029930591583256,
+      "epoch": 8.566694283347141,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.635346325312437e-05,
+      "loss": 4.3957,
+      "mean_token_accuracy": 0.24061628580093383,
+      "num_tokens": 18848380.0,
+      "step": 10340
+    },
+    {
+      "entropy": 5.183950519561767,
+      "epoch": 8.570836785418393,
+      "grad_norm": 1.4765625,
+      "learning_rate": 7.62035965707339e-05,
+      "loss": 4.3698,
+      "mean_token_accuracy": 0.23951665312051773,
+      "num_tokens": 18857157.0,
+      "step": 10345
+    },
+    {
+      "entropy": 5.218787288665771,
+      "epoch": 8.574979287489644,
+      "grad_norm": 1.4296875,
+      "learning_rate": 7.605413088241325e-05,
+      "loss": 4.4386,
+      "mean_token_accuracy": 0.23871394395828247,
+      "num_tokens": 18866544.0,
+      "step": 10350
+    },
+    {
+      "entropy": 5.245972967147827,
+      "epoch": 8.579121789560896,
+      "grad_norm": 1.390625,
+      "learning_rate": 7.59050664896512e-05,
+      "loss": 4.4763,
+      "mean_token_accuracy": 0.23758894056081772,
+      "num_tokens": 18876052.0,
+      "step": 10355
+    },
+    {
+      "entropy": 5.173453092575073,
+      "epoch": 8.583264291632146,
+      "grad_norm": 1.5390625,
+      "learning_rate": 7.575640369312684e-05,
+      "loss": 4.3606,
+      "mean_token_accuracy": 0.24585366398096084,
+      "num_tokens": 18885141.0,
+      "step": 10360
+    },
+    {
+      "entropy": 5.170973825454712,
+      "epoch": 8.587406793703398,
+      "grad_norm": 1.5,
+      "learning_rate": 7.560814279270928e-05,
+      "loss": 4.3688,
+      "mean_token_accuracy": 0.2500849083065987,
+      "num_tokens": 18893108.0,
+      "step": 10365
+    },
+    {
+      "entropy": 5.223328018188477,
+      "epoch": 8.591549295774648,
+      "grad_norm": 1.4921875,
+      "learning_rate": 7.5460284087457e-05,
+      "loss": 4.4345,
+      "mean_token_accuracy": 0.24185387045145035,
+      "num_tokens": 18901436.0,
+      "step": 10370
+    },
+    {
+      "entropy": 5.210998106002807,
+      "epoch": 8.595691797845898,
+      "grad_norm": 1.3671875,
+      "learning_rate": 7.53128278756171e-05,
+      "loss": 4.4018,
+      "mean_token_accuracy": 0.24778844714164733,
+      "num_tokens": 18910057.0,
+      "step": 10375
+    },
+    {
+      "entropy": 5.1040510654449465,
+      "epoch": 8.59983429991715,
+      "grad_norm": 1.3828125,
+      "learning_rate": 7.516577445462493e-05,
+      "loss": 4.3,
+      "mean_token_accuracy": 0.24971302300691606,
+      "num_tokens": 18918270.0,
+      "step": 10380
+    },
+    {
+      "entropy": 5.231306409835815,
+      "epoch": 8.6039768019884,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.501912412110331e-05,
+      "loss": 4.4845,
+      "mean_token_accuracy": 0.23085562586784364,
+      "num_tokens": 18928202.0,
+      "step": 10385
+    },
+    {
+      "entropy": 5.2012535572052006,
+      "epoch": 8.608119304059652,
+      "grad_norm": 1.484375,
+      "learning_rate": 7.487287717086193e-05,
+      "loss": 4.4517,
+      "mean_token_accuracy": 0.23962246477603913,
+      "num_tokens": 18937837.0,
+      "step": 10390
+    },
+    {
+      "entropy": 5.208834791183472,
+      "epoch": 8.612261806130903,
+      "grad_norm": 1.4296875,
+      "learning_rate": 7.472703389889695e-05,
+      "loss": 4.4011,
+      "mean_token_accuracy": 0.24069707244634628,
+      "num_tokens": 18946391.0,
+      "step": 10395
+    },
+    {
+      "entropy": 5.2311876773834225,
+      "epoch": 8.616404308202155,
+      "grad_norm": 1.390625,
+      "learning_rate": 7.458159459939007e-05,
+      "loss": 4.4489,
+      "mean_token_accuracy": 0.23659338057041168,
+      "num_tokens": 18955269.0,
+      "step": 10400
+    },
+    {
+      "entropy": 5.190009307861328,
+      "epoch": 8.620546810273405,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.443655956570842e-05,
+      "loss": 4.3755,
+      "mean_token_accuracy": 0.24546574354171752,
+      "num_tokens": 18964030.0,
+      "step": 10405
+    },
+    {
+      "entropy": 5.1890928745269775,
+      "epoch": 8.624689312344657,
+      "grad_norm": 1.359375,
+      "learning_rate": 7.429192909040339e-05,
+      "loss": 4.3809,
+      "mean_token_accuracy": 0.2469545379281044,
+      "num_tokens": 18973690.0,
+      "step": 10410
+    },
+    {
+      "entropy": 5.18334994316101,
+      "epoch": 8.628831814415907,
+      "grad_norm": 1.5,
+      "learning_rate": 7.414770346521043e-05,
+      "loss": 4.3623,
+      "mean_token_accuracy": 0.24696797430515288,
+      "num_tokens": 18981339.0,
+      "step": 10415
+    },
+    {
+      "entropy": 5.2303839206695555,
+      "epoch": 8.632974316487159,
+      "grad_norm": 1.5625,
+      "learning_rate": 7.400388298104851e-05,
+      "loss": 4.4068,
+      "mean_token_accuracy": 0.2369140088558197,
+      "num_tokens": 18990141.0,
+      "step": 10420
+    },
+    {
+      "entropy": 5.159129667282104,
+      "epoch": 8.63711681855841,
+      "grad_norm": 1.3984375,
+      "learning_rate": 7.386046792801911e-05,
+      "loss": 4.3986,
+      "mean_token_accuracy": 0.24463264495134354,
+      "num_tokens": 18999217.0,
+      "step": 10425
+    },
+    {
+      "entropy": 5.21497597694397,
+      "epoch": 8.64125932062966,
+      "grad_norm": 1.6640625,
+      "learning_rate": 7.371745859540622e-05,
+      "loss": 4.478,
+      "mean_token_accuracy": 0.23663176596164703,
+      "num_tokens": 19008554.0,
+      "step": 10430
+    },
+    {
+      "entropy": 5.173939180374146,
+      "epoch": 8.645401822700912,
+      "grad_norm": 1.40625,
+      "learning_rate": 7.357485527167522e-05,
+      "loss": 4.4008,
+      "mean_token_accuracy": 0.24518686681985855,
+      "num_tokens": 19018159.0,
+      "step": 10435
+    },
+    {
+      "entropy": 5.206839847564697,
+      "epoch": 8.649544324772162,
+      "grad_norm": 1.5625,
+      "learning_rate": 7.343265824447254e-05,
+      "loss": 4.3876,
+      "mean_token_accuracy": 0.23844624310731888,
+      "num_tokens": 19026985.0,
+      "step": 10440
+    },
+    {
+      "entropy": 5.248799228668213,
+      "epoch": 8.653686826843414,
+      "grad_norm": 1.3671875,
+      "learning_rate": 7.329086780062522e-05,
+      "loss": 4.4566,
+      "mean_token_accuracy": 0.2319045841693878,
+      "num_tokens": 19036745.0,
+      "step": 10445
+    },
+    {
+      "entropy": 5.184232616424561,
+      "epoch": 8.657829328914664,
+      "grad_norm": 1.390625,
+      "learning_rate": 7.314948422613998e-05,
+      "loss": 4.3972,
+      "mean_token_accuracy": 0.24480258375406266,
+      "num_tokens": 19045200.0,
+      "step": 10450
+    },
+    {
+      "entropy": 5.22222671508789,
+      "epoch": 8.661971830985916,
+      "grad_norm": 1.5703125,
+      "learning_rate": 7.30085078062031e-05,
+      "loss": 4.3972,
+      "mean_token_accuracy": 0.24710927307605743,
+      "num_tokens": 19054102.0,
+      "step": 10455
+    },
+    {
+      "entropy": 5.227342224121093,
+      "epoch": 8.666114333057166,
+      "grad_norm": 1.3828125,
+      "learning_rate": 7.286793882517922e-05,
+      "loss": 4.4817,
+      "mean_token_accuracy": 0.23506841957569122,
+      "num_tokens": 19062895.0,
+      "step": 10460
+    },
+    {
+      "entropy": 5.171539640426635,
+      "epoch": 8.670256835128418,
+      "grad_norm": 1.484375,
+      "learning_rate": 7.272777756661152e-05,
+      "loss": 4.3649,
+      "mean_token_accuracy": 0.24760980010032654,
+      "num_tokens": 19071523.0,
+      "step": 10465
+    },
+    {
+      "entropy": 5.185952615737915,
+      "epoch": 8.674399337199668,
+      "grad_norm": 1.4765625,
+      "learning_rate": 7.258802431322047e-05,
+      "loss": 4.4121,
+      "mean_token_accuracy": 0.23732124269008636,
+      "num_tokens": 19080765.0,
+      "step": 10470
+    },
+    {
+      "entropy": 5.252375984191895,
+      "epoch": 8.67854183927092,
+      "grad_norm": 1.3359375,
+      "learning_rate": 7.244867934690364e-05,
+      "loss": 4.4613,
+      "mean_token_accuracy": 0.2323843464255333,
+      "num_tokens": 19089871.0,
+      "step": 10475
+    },
+    {
+      "entropy": 5.187610292434693,
+      "epoch": 8.68268434134217,
+      "grad_norm": 1.3828125,
+      "learning_rate": 7.230974294873513e-05,
+      "loss": 4.3838,
+      "mean_token_accuracy": 0.24054025560617448,
+      "num_tokens": 19098928.0,
+      "step": 10480
+    },
+    {
+      "entropy": 5.245558977127075,
+      "epoch": 8.68682684341342,
+      "grad_norm": 1.3984375,
+      "learning_rate": 7.217121539896476e-05,
+      "loss": 4.4835,
+      "mean_token_accuracy": 0.23271409273147584,
+      "num_tokens": 19107795.0,
+      "step": 10485
+    },
+    {
+      "entropy": 5.311456537246704,
+      "epoch": 8.690969345484673,
+      "grad_norm": 1.46875,
+      "learning_rate": 7.203309697701784e-05,
+      "loss": 4.4991,
+      "mean_token_accuracy": 0.22682723701000213,
+      "num_tokens": 19117060.0,
+      "step": 10490
+    },
+    {
+      "entropy": 5.217403793334961,
+      "epoch": 8.695111847555923,
+      "grad_norm": 1.4609375,
+      "learning_rate": 7.189538796149424e-05,
+      "loss": 4.4537,
+      "mean_token_accuracy": 0.2290256530046463,
+      "num_tokens": 19126876.0,
+      "step": 10495
+    },
+    {
+      "entropy": 5.315350341796875,
+      "epoch": 8.699254349627175,
+      "grad_norm": 1.3671875,
+      "learning_rate": 7.175808863016806e-05,
+      "loss": 4.5203,
+      "mean_token_accuracy": 0.22548595070838928,
+      "num_tokens": 19136888.0,
+      "step": 10500
+    },
+    {
+      "epoch": 8.699254349627175,
+      "eval_entropy": 5.119190056440927,
+      "eval_loss": 5.7212605476379395,
+      "eval_mean_token_accuracy": 0.16961656545779344,
+      "eval_num_tokens": 19136888.0,
+      "eval_runtime": 2.752,
+      "eval_samples_per_second": 1361.551,
+      "eval_steps_per_second": 170.421,
+      "step": 10500
+    },
+    {
+      "entropy": 5.226673030853272,
+      "epoch": 8.703396851698425,
+      "grad_norm": 1.484375,
+      "learning_rate": 7.162119925998714e-05,
+      "loss": 4.5059,
+      "mean_token_accuracy": 0.2253893718123436,
+      "num_tokens": 19146727.0,
+      "step": 10505
+    },
+    {
+      "entropy": 5.179952812194824,
+      "epoch": 8.707539353769677,
+      "grad_norm": 1.171875,
+      "learning_rate": 7.148472012707225e-05,
+      "loss": 4.412,
+      "mean_token_accuracy": 0.2382320299744606,
+      "num_tokens": 19157322.0,
+      "step": 10510
+    },
+    {
+      "entropy": 5.166423749923706,
+      "epoch": 8.711681855840927,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.134865150671676e-05,
+      "loss": 4.3914,
+      "mean_token_accuracy": 0.23635614067316055,
+      "num_tokens": 19166302.0,
+      "step": 10515
+    },
+    {
+      "entropy": 5.251778602600098,
+      "epoch": 8.71582435791218,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.121299367338593e-05,
+      "loss": 4.4374,
+      "mean_token_accuracy": 0.24589941501617432,
+      "num_tokens": 19174883.0,
+      "step": 10520
+    },
+    {
+      "entropy": 5.153423023223877,
+      "epoch": 8.71996685998343,
+      "grad_norm": 1.40625,
+      "learning_rate": 7.107774690071635e-05,
+      "loss": 4.3541,
+      "mean_token_accuracy": 0.239237742125988,
+      "num_tokens": 19184410.0,
+      "step": 10525
+    },
+    {
+      "entropy": 5.228266382217408,
+      "epoch": 8.724109362054682,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.094291146151568e-05,
+      "loss": 4.4674,
+      "mean_token_accuracy": 0.2395067408680916,
+      "num_tokens": 19193559.0,
+      "step": 10530
+    },
+    {
+      "entropy": 5.273577928543091,
+      "epoch": 8.728251864125932,
+      "grad_norm": 1.5546875,
+      "learning_rate": 7.080848762776159e-05,
+      "loss": 4.4714,
+      "mean_token_accuracy": 0.23337527960538865,
+      "num_tokens": 19202520.0,
+      "step": 10535
+    },
+    {
+      "entropy": 5.188484859466553,
+      "epoch": 8.732394366197184,
+      "grad_norm": 1.3046875,
+      "learning_rate": 7.067447567060178e-05,
+      "loss": 4.4106,
+      "mean_token_accuracy": 0.24163178950548173,
+      "num_tokens": 19212357.0,
+      "step": 10540
+    },
+    {
+      "entropy": 5.270314884185791,
+      "epoch": 8.736536868268434,
+      "grad_norm": 1.4140625,
+      "learning_rate": 7.054087586035295e-05,
+      "loss": 4.4547,
+      "mean_token_accuracy": 0.22959824949502944,
+      "num_tokens": 19222069.0,
+      "step": 10545
+    },
+    {
+      "entropy": 5.25425443649292,
+      "epoch": 8.740679370339684,
+      "grad_norm": 1.3046875,
+      "learning_rate": 7.040768846650046e-05,
+      "loss": 4.4932,
+      "mean_token_accuracy": 0.2278127059340477,
+      "num_tokens": 19232274.0,
+      "step": 10550
+    },
+    {
+      "entropy": 5.254214191436768,
+      "epoch": 8.744821872410936,
+      "grad_norm": 1.3046875,
+      "learning_rate": 7.027491375769795e-05,
+      "loss": 4.4757,
+      "mean_token_accuracy": 0.2411029651761055,
+      "num_tokens": 19241877.0,
+      "step": 10555
+    },
+    {
+      "entropy": 5.2116861820220945,
+      "epoch": 8.748964374482187,
+      "grad_norm": 1.4453125,
+      "learning_rate": 7.014255200176643e-05,
+      "loss": 4.3782,
+      "mean_token_accuracy": 0.2412834107875824,
+      "num_tokens": 19250229.0,
+      "step": 10560
+    },
+    {
+      "entropy": 5.172750854492188,
+      "epoch": 8.753106876553439,
+      "grad_norm": 1.4140625,
+      "learning_rate": 7.001060346569408e-05,
+      "loss": 4.4164,
+      "mean_token_accuracy": 0.23507136851549149,
+      "num_tokens": 19259061.0,
+      "step": 10565
+    },
+    {
+      "entropy": 5.257285022735596,
+      "epoch": 8.757249378624689,
+      "grad_norm": 1.4296875,
+      "learning_rate": 6.987906841563552e-05,
+      "loss": 4.4909,
+      "mean_token_accuracy": 0.2253558024764061,
+      "num_tokens": 19268262.0,
+      "step": 10570
+    },
+    {
+      "entropy": 5.223095846176148,
+      "epoch": 8.76139188069594,
+      "grad_norm": 1.4296875,
+      "learning_rate": 6.974794711691125e-05,
+      "loss": 4.4463,
+      "mean_token_accuracy": 0.2392427995800972,
+      "num_tokens": 19276444.0,
+      "step": 10575
+    },
+    {
+      "entropy": 5.207184934616089,
+      "epoch": 8.765534382767191,
+      "grad_norm": 1.4296875,
+      "learning_rate": 6.961723983400733e-05,
+      "loss": 4.4458,
+      "mean_token_accuracy": 0.23648034334182738,
+      "num_tokens": 19286384.0,
+      "step": 10580
+    },
+    {
+      "entropy": 5.176658248901367,
+      "epoch": 8.769676884838443,
+      "grad_norm": 1.5390625,
+      "learning_rate": 6.948694683057456e-05,
+      "loss": 4.4546,
+      "mean_token_accuracy": 0.2312345653772354,
+      "num_tokens": 19295251.0,
+      "step": 10585
+    },
+    {
+      "entropy": 5.224732780456543,
+      "epoch": 8.773819386909693,
+      "grad_norm": 1.5,
+      "learning_rate": 6.935706836942826e-05,
+      "loss": 4.4425,
+      "mean_token_accuracy": 0.24059854596853256,
+      "num_tokens": 19304288.0,
+      "step": 10590
+    },
+    {
+      "entropy": 5.250017404556274,
+      "epoch": 8.777961888980945,
+      "grad_norm": 1.453125,
+      "learning_rate": 6.922760471254738e-05,
+      "loss": 4.4356,
+      "mean_token_accuracy": 0.24030836671590805,
+      "num_tokens": 19312269.0,
+      "step": 10595
+    },
+    {
+      "entropy": 5.115903329849243,
+      "epoch": 8.782104391052195,
+      "grad_norm": 1.4140625,
+      "learning_rate": 6.909855612107437e-05,
+      "loss": 4.3473,
+      "mean_token_accuracy": 0.2516230851411819,
+      "num_tokens": 19320856.0,
+      "step": 10600
+    },
+    {
+      "entropy": 5.177384901046753,
+      "epoch": 8.786246893123447,
+      "grad_norm": 1.546875,
+      "learning_rate": 6.896992285531424e-05,
+      "loss": 4.4072,
+      "mean_token_accuracy": 0.24654482156038285,
+      "num_tokens": 19329427.0,
+      "step": 10605
+    },
+    {
+      "entropy": 5.193833827972412,
+      "epoch": 8.790389395194698,
+      "grad_norm": 1.46875,
+      "learning_rate": 6.884170517473444e-05,
+      "loss": 4.4439,
+      "mean_token_accuracy": 0.24428300708532333,
+      "num_tokens": 19337772.0,
+      "step": 10610
+    },
+    {
+      "entropy": 5.271326208114624,
+      "epoch": 8.794531897265948,
+      "grad_norm": 1.4375,
+      "learning_rate": 6.871390333796398e-05,
+      "loss": 4.4742,
+      "mean_token_accuracy": 0.2410774126648903,
+      "num_tokens": 19346693.0,
+      "step": 10615
+    },
+    {
+      "entropy": 5.241626501083374,
+      "epoch": 8.7986743993372,
+      "grad_norm": 1.359375,
+      "learning_rate": 6.85865176027931e-05,
+      "loss": 4.4086,
+      "mean_token_accuracy": 0.23272228688001634,
+      "num_tokens": 19355606.0,
+      "step": 10620
+    },
+    {
+      "entropy": 5.2006713390350345,
+      "epoch": 8.80281690140845,
+      "grad_norm": 1.2890625,
+      "learning_rate": 6.845954822617284e-05,
+      "loss": 4.4493,
+      "mean_token_accuracy": 0.23586227893829345,
+      "num_tokens": 19365552.0,
+      "step": 10625
+    },
+    {
+      "entropy": 5.243284225463867,
+      "epoch": 8.806959403479702,
+      "grad_norm": 1.5,
+      "learning_rate": 6.833299546421423e-05,
+      "loss": 4.4891,
+      "mean_token_accuracy": 0.2321949765086174,
+      "num_tokens": 19374869.0,
+      "step": 10630
+    },
+    {
+      "entropy": 5.2015196800231935,
+      "epoch": 8.811101905550952,
+      "grad_norm": 1.4375,
+      "learning_rate": 6.820685957218808e-05,
+      "loss": 4.4725,
+      "mean_token_accuracy": 0.23633115440607072,
+      "num_tokens": 19384609.0,
+      "step": 10635
+    },
+    {
+      "entropy": 5.197484254837036,
+      "epoch": 8.815244407622204,
+      "grad_norm": 1.4609375,
+      "learning_rate": 6.80811408045242e-05,
+      "loss": 4.3993,
+      "mean_token_accuracy": 0.23660303950309752,
+      "num_tokens": 19392618.0,
+      "step": 10640
+    },
+    {
+      "entropy": 5.325011968612671,
+      "epoch": 8.819386909693455,
+      "grad_norm": 1.3046875,
+      "learning_rate": 6.795583941481113e-05,
+      "loss": 4.4964,
+      "mean_token_accuracy": 0.23065129816532134,
+      "num_tokens": 19402341.0,
+      "step": 10645
+    },
+    {
+      "entropy": 5.237111806869507,
+      "epoch": 8.823529411764707,
+      "grad_norm": 1.3828125,
+      "learning_rate": 6.783095565579546e-05,
+      "loss": 4.4247,
+      "mean_token_accuracy": 0.23660608232021332,
+      "num_tokens": 19411834.0,
+      "step": 10650
+    },
+    {
+      "entropy": 5.1730334758758545,
+      "epoch": 8.827671913835957,
+      "grad_norm": 1.5234375,
+      "learning_rate": 6.77064897793814e-05,
+      "loss": 4.3767,
+      "mean_token_accuracy": 0.24239009916782378,
+      "num_tokens": 19420820.0,
+      "step": 10655
+    },
+    {
+      "entropy": 5.2696301460266115,
+      "epoch": 8.831814415907209,
+      "grad_norm": 1.328125,
+      "learning_rate": 6.758244203663015e-05,
+      "loss": 4.5166,
+      "mean_token_accuracy": 0.22715218663215636,
+      "num_tokens": 19430321.0,
+      "step": 10660
+    },
+    {
+      "entropy": 5.2090989112854,
+      "epoch": 8.835956917978459,
+      "grad_norm": 1.4140625,
+      "learning_rate": 6.745881267775967e-05,
+      "loss": 4.4195,
+      "mean_token_accuracy": 0.24382660984992982,
+      "num_tokens": 19439134.0,
+      "step": 10665
+    },
+    {
+      "entropy": 5.227123832702636,
+      "epoch": 8.840099420049711,
+      "grad_norm": 1.453125,
+      "learning_rate": 6.733560195214384e-05,
+      "loss": 4.4171,
+      "mean_token_accuracy": 0.24313016086816788,
+      "num_tokens": 19448503.0,
+      "step": 10670
+    },
+    {
+      "entropy": 5.253864049911499,
+      "epoch": 8.844241922120961,
+      "grad_norm": 1.4375,
+      "learning_rate": 6.721281010831209e-05,
+      "loss": 4.5238,
+      "mean_token_accuracy": 0.22644259929656982,
+      "num_tokens": 19458423.0,
+      "step": 10675
+    },
+    {
+      "entropy": 5.188384485244751,
+      "epoch": 8.848384424192211,
+      "grad_norm": 1.59375,
+      "learning_rate": 6.709043739394909e-05,
+      "loss": 4.4126,
+      "mean_token_accuracy": 0.2393592044711113,
+      "num_tokens": 19467346.0,
+      "step": 10680
+    },
+    {
+      "entropy": 5.213257360458374,
+      "epoch": 8.852526926263463,
+      "grad_norm": 1.3984375,
+      "learning_rate": 6.696848405589389e-05,
+      "loss": 4.405,
+      "mean_token_accuracy": 0.23745912164449692,
+      "num_tokens": 19476659.0,
+      "step": 10685
+    },
+    {
+      "entropy": 5.17372498512268,
+      "epoch": 8.856669428334714,
+      "grad_norm": 1.28125,
+      "learning_rate": 6.68469503401398e-05,
+      "loss": 4.3642,
+      "mean_token_accuracy": 0.2439992055296898,
+      "num_tokens": 19486036.0,
+      "step": 10690
+    },
+    {
+      "entropy": 5.196323728561401,
+      "epoch": 8.860811930405966,
+      "grad_norm": 1.5390625,
+      "learning_rate": 6.672583649183346e-05,
+      "loss": 4.4265,
+      "mean_token_accuracy": 0.23652248829603195,
+      "num_tokens": 19494964.0,
+      "step": 10695
+    },
+    {
+      "entropy": 5.1759912967681885,
+      "epoch": 8.864954432477216,
+      "grad_norm": 1.4453125,
+      "learning_rate": 6.66051427552749e-05,
+      "loss": 4.4115,
+      "mean_token_accuracy": 0.23101080656051637,
+      "num_tokens": 19503293.0,
+      "step": 10700
+    },
+    {
+      "entropy": 5.194973659515381,
+      "epoch": 8.869096934548468,
+      "grad_norm": 1.375,
+      "learning_rate": 6.648486937391651e-05,
+      "loss": 4.4138,
+      "mean_token_accuracy": 0.23854047656059266,
+      "num_tokens": 19512286.0,
+      "step": 10705
+    },
+    {
+      "entropy": 5.3320365905761715,
+      "epoch": 8.873239436619718,
+      "grad_norm": 1.4765625,
+      "learning_rate": 6.636501659036278e-05,
+      "loss": 4.5414,
+      "mean_token_accuracy": 0.23179779797792435,
+      "num_tokens": 19522244.0,
+      "step": 10710
+    },
+    {
+      "entropy": 5.28638482093811,
+      "epoch": 8.87738193869097,
+      "grad_norm": 1.484375,
+      "learning_rate": 6.624558464636999e-05,
+      "loss": 4.5013,
+      "mean_token_accuracy": 0.22948451787233354,
+      "num_tokens": 19531811.0,
+      "step": 10715
+    },
+    {
+      "entropy": 5.264835834503174,
+      "epoch": 8.88152444076222,
+      "grad_norm": 1.5546875,
+      "learning_rate": 6.612657378284528e-05,
+      "loss": 4.5213,
+      "mean_token_accuracy": 0.22773118317127228,
+      "num_tokens": 19541569.0,
+      "step": 10720
+    },
+    {
+      "entropy": 5.170029401779175,
+      "epoch": 8.885666942833472,
+      "grad_norm": 1.4453125,
+      "learning_rate": 6.600798423984671e-05,
+      "loss": 4.4033,
+      "mean_token_accuracy": 0.24277371019124985,
+      "num_tokens": 19549904.0,
+      "step": 10725
+    },
+    {
+      "entropy": 5.190405988693238,
+      "epoch": 8.889809444904722,
+      "grad_norm": 1.453125,
+      "learning_rate": 6.588981625658227e-05,
+      "loss": 4.3817,
+      "mean_token_accuracy": 0.23957409858703613,
+      "num_tokens": 19558804.0,
+      "step": 10730
+    },
+    {
+      "entropy": 5.217440891265869,
+      "epoch": 8.893951946975973,
+      "grad_norm": 1.5546875,
+      "learning_rate": 6.577207007140969e-05,
+      "loss": 4.3608,
+      "mean_token_accuracy": 0.23985767215490342,
+      "num_tokens": 19567060.0,
+      "step": 10735
+    },
+    {
+      "entropy": 5.19472222328186,
+      "epoch": 8.898094449047225,
+      "grad_norm": 1.1640625,
+      "learning_rate": 6.565474592183594e-05,
+      "loss": 4.4563,
+      "mean_token_accuracy": 0.22792308479547502,
+      "num_tokens": 19576813.0,
+      "step": 10740
+    },
+    {
+      "entropy": 5.1734171390533445,
+      "epoch": 8.902236951118475,
+      "grad_norm": 1.5859375,
+      "learning_rate": 6.553784404451656e-05,
+      "loss": 4.3938,
+      "mean_token_accuracy": 0.24176628440618514,
+      "num_tokens": 19585551.0,
+      "step": 10745
+    },
+    {
+      "entropy": 5.209146022796631,
+      "epoch": 8.906379453189727,
+      "grad_norm": 1.4453125,
+      "learning_rate": 6.542136467525555e-05,
+      "loss": 4.4267,
+      "mean_token_accuracy": 0.24028485119342805,
+      "num_tokens": 19595085.0,
+      "step": 10750
+    },
+    {
+      "entropy": 5.2165689945220945,
+      "epoch": 8.910521955260977,
+      "grad_norm": 1.46875,
+      "learning_rate": 6.530530804900441e-05,
+      "loss": 4.4002,
+      "mean_token_accuracy": 0.24325739294290544,
+      "num_tokens": 19603260.0,
+      "step": 10755
+    },
+    {
+      "entropy": 5.267740869522095,
+      "epoch": 8.91466445733223,
+      "grad_norm": 1.4453125,
+      "learning_rate": 6.518967439986209e-05,
+      "loss": 4.4805,
+      "mean_token_accuracy": 0.23566019982099534,
+      "num_tokens": 19611608.0,
+      "step": 10760
+    },
+    {
+      "entropy": 5.180595397949219,
+      "epoch": 8.91880695940348,
+      "grad_norm": 1.40625,
+      "learning_rate": 6.507446396107429e-05,
+      "loss": 4.3493,
+      "mean_token_accuracy": 0.24578822106122972,
+      "num_tokens": 19620214.0,
+      "step": 10765
+    },
+    {
+      "entropy": 5.2280592918396,
+      "epoch": 8.922949461474731,
+      "grad_norm": 1.53125,
+      "learning_rate": 6.495967696503303e-05,
+      "loss": 4.4435,
+      "mean_token_accuracy": 0.23996175080537796,
+      "num_tokens": 19629227.0,
+      "step": 10770
+    },
+    {
+      "entropy": 5.27520432472229,
+      "epoch": 8.927091963545982,
+      "grad_norm": 1.328125,
+      "learning_rate": 6.484531364327629e-05,
+      "loss": 4.4556,
+      "mean_token_accuracy": 0.23641515225172044,
+      "num_tokens": 19638348.0,
+      "step": 10775
+    },
+    {
+      "entropy": 5.2056111812591555,
+      "epoch": 8.931234465617234,
+      "grad_norm": 1.6484375,
+      "learning_rate": 6.473137422648728e-05,
+      "loss": 4.324,
+      "mean_token_accuracy": 0.2567539796233177,
+      "num_tokens": 19646480.0,
+      "step": 10780
+    },
+    {
+      "entropy": 5.229280662536621,
+      "epoch": 8.935376967688484,
+      "grad_norm": 1.4921875,
+      "learning_rate": 6.461785894449434e-05,
+      "loss": 4.4321,
+      "mean_token_accuracy": 0.23481076061725617,
+      "num_tokens": 19656188.0,
+      "step": 10785
+    },
+    {
+      "entropy": 5.175144863128662,
+      "epoch": 8.939519469759734,
+      "grad_norm": 1.4765625,
+      "learning_rate": 6.45047680262702e-05,
+      "loss": 4.467,
+      "mean_token_accuracy": 0.22823356539011003,
+      "num_tokens": 19664849.0,
+      "step": 10790
+    },
+    {
+      "entropy": 5.211564922332764,
+      "epoch": 8.943661971830986,
+      "grad_norm": 1.2734375,
+      "learning_rate": 6.439210169993153e-05,
+      "loss": 4.3996,
+      "mean_token_accuracy": 0.24241889715194703,
+      "num_tokens": 19675104.0,
+      "step": 10795
+    },
+    {
+      "entropy": 5.206510925292969,
+      "epoch": 8.947804473902236,
+      "grad_norm": 1.375,
+      "learning_rate": 6.427986019273873e-05,
+      "loss": 4.4381,
+      "mean_token_accuracy": 0.2374054729938507,
+      "num_tokens": 19685009.0,
+      "step": 10800
+    },
+    {
+      "entropy": 5.23604679107666,
+      "epoch": 8.951946975973488,
+      "grad_norm": 1.5234375,
+      "learning_rate": 6.416804373109507e-05,
+      "loss": 4.4553,
+      "mean_token_accuracy": 0.23570877611637114,
+      "num_tokens": 19694190.0,
+      "step": 10805
+    },
+    {
+      "entropy": 5.198193025588989,
+      "epoch": 8.956089478044738,
+      "grad_norm": 1.4765625,
+      "learning_rate": 6.405665254054666e-05,
+      "loss": 4.4617,
+      "mean_token_accuracy": 0.22833957821130751,
+      "num_tokens": 19703571.0,
+      "step": 10810
+    },
+    {
+      "entropy": 5.207875490188599,
+      "epoch": 8.96023198011599,
+      "grad_norm": 1.3515625,
+      "learning_rate": 6.394568684578165e-05,
+      "loss": 4.4241,
+      "mean_token_accuracy": 0.24091086834669112,
+      "num_tokens": 19713365.0,
+      "step": 10815
+    },
+    {
+      "entropy": 5.3342712879180905,
+      "epoch": 8.96437448218724,
+      "grad_norm": 1.546875,
+      "learning_rate": 6.383514687063e-05,
+      "loss": 4.5471,
+      "mean_token_accuracy": 0.23511630594730376,
+      "num_tokens": 19722535.0,
+      "step": 10820
+    },
+    {
+      "entropy": 5.124732971191406,
+      "epoch": 8.968516984258493,
+      "grad_norm": 1.4765625,
+      "learning_rate": 6.372503283806291e-05,
+      "loss": 4.3688,
+      "mean_token_accuracy": 0.24532900452613832,
+      "num_tokens": 19731563.0,
+      "step": 10825
+    },
+    {
+      "entropy": 5.236607599258423,
+      "epoch": 8.972659486329743,
+      "grad_norm": 1.453125,
+      "learning_rate": 6.36153449701924e-05,
+      "loss": 4.492,
+      "mean_token_accuracy": 0.23433683216571807,
+      "num_tokens": 19741093.0,
+      "step": 10830
+    },
+    {
+      "entropy": 5.235393095016479,
+      "epoch": 8.976801988400995,
+      "grad_norm": 1.390625,
+      "learning_rate": 6.350608348827096e-05,
+      "loss": 4.4477,
+      "mean_token_accuracy": 0.23411636352539061,
+      "num_tokens": 19749489.0,
+      "step": 10835
+    },
+    {
+      "entropy": 5.228500127792358,
+      "epoch": 8.980944490472245,
+      "grad_norm": 1.484375,
+      "learning_rate": 6.339724861269085e-05,
+      "loss": 4.4642,
+      "mean_token_accuracy": 0.23431311100721358,
+      "num_tokens": 19758745.0,
+      "step": 10840
+    },
+    {
+      "entropy": 5.251041412353516,
+      "epoch": 8.985086992543497,
+      "grad_norm": 1.3671875,
+      "learning_rate": 6.328884056298393e-05,
+      "loss": 4.5074,
+      "mean_token_accuracy": 0.22834719121456146,
+      "num_tokens": 19767713.0,
+      "step": 10845
+    },
+    {
+      "entropy": 5.217907953262329,
+      "epoch": 8.989229494614747,
+      "grad_norm": 1.328125,
+      "learning_rate": 6.31808595578211e-05,
+      "loss": 4.4852,
+      "mean_token_accuracy": 0.2333643764257431,
+      "num_tokens": 19777236.0,
+      "step": 10850
+    },
+    {
+      "entropy": 5.1644727230072025,
+      "epoch": 8.993371996685998,
+      "grad_norm": 1.46875,
+      "learning_rate": 6.307330581501183e-05,
+      "loss": 4.3734,
+      "mean_token_accuracy": 0.24639918506145478,
+      "num_tokens": 19785981.0,
+      "step": 10855
+    },
+    {
+      "entropy": 5.195607471466064,
+      "epoch": 8.99751449875725,
+      "grad_norm": 1.546875,
+      "learning_rate": 6.29661795515038e-05,
+      "loss": 4.464,
+      "mean_token_accuracy": 0.23550200313329697,
+      "num_tokens": 19795046.0,
+      "step": 10860
+    },
+    {
+      "entropy": 5.301530122756958,
+      "epoch": 9.0016570008285,
+      "grad_norm": 1.4921875,
+      "learning_rate": 6.285948098338238e-05,
+      "loss": 4.4776,
+      "mean_token_accuracy": 0.2346542462706566,
+      "num_tokens": 19803108.0,
+      "step": 10865
+    },
+    {
+      "entropy": 5.265822219848633,
+      "epoch": 9.005799502899752,
+      "grad_norm": 1.359375,
+      "learning_rate": 6.27532103258702e-05,
+      "loss": 4.4339,
+      "mean_token_accuracy": 0.23500234484672547,
+      "num_tokens": 19812751.0,
+      "step": 10870
+    },
+    {
+      "entropy": 5.236967515945435,
+      "epoch": 9.009942004971002,
+      "grad_norm": 1.4375,
+      "learning_rate": 6.26473677933269e-05,
+      "loss": 4.4317,
+      "mean_token_accuracy": 0.24202024787664414,
+      "num_tokens": 19821634.0,
+      "step": 10875
+    },
+    {
+      "entropy": 5.206866502761841,
+      "epoch": 9.014084507042254,
+      "grad_norm": 1.3671875,
+      "learning_rate": 6.254195359924827e-05,
+      "loss": 4.3658,
+      "mean_token_accuracy": 0.24844859838485717,
+      "num_tokens": 19830760.0,
+      "step": 10880
+    },
+    {
+      "entropy": 5.134595823287964,
+      "epoch": 9.018227009113504,
+      "grad_norm": 1.3828125,
+      "learning_rate": 6.24369679562664e-05,
+      "loss": 4.2893,
+      "mean_token_accuracy": 0.25201261341571807,
+      "num_tokens": 19839463.0,
+      "step": 10885
+    },
+    {
+      "entropy": 5.170546007156372,
+      "epoch": 9.022369511184756,
+      "grad_norm": 1.390625,
+      "learning_rate": 6.233241107614875e-05,
+      "loss": 4.348,
+      "mean_token_accuracy": 0.24622674733400346,
+      "num_tokens": 19848256.0,
+      "step": 10890
+    },
+    {
+      "entropy": 5.220857858657837,
+      "epoch": 9.026512013256006,
+      "grad_norm": 1.328125,
+      "learning_rate": 6.222828316979798e-05,
+      "loss": 4.4067,
+      "mean_token_accuracy": 0.2488214135169983,
+      "num_tokens": 19857572.0,
+      "step": 10895
+    },
+    {
+      "entropy": 5.213380241394043,
+      "epoch": 9.030654515327258,
+      "grad_norm": 1.390625,
+      "learning_rate": 6.212458444725146e-05,
+      "loss": 4.4407,
+      "mean_token_accuracy": 0.2404656767845154,
+      "num_tokens": 19866825.0,
+      "step": 10900
+    },
+    {
+      "entropy": 5.333277177810669,
+      "epoch": 9.034797017398509,
+      "grad_norm": 1.421875,
+      "learning_rate": 6.202131511768079e-05,
+      "loss": 4.5306,
+      "mean_token_accuracy": 0.2320836752653122,
+      "num_tokens": 19875970.0,
+      "step": 10905
+    },
+    {
+      "entropy": 5.19785590171814,
+      "epoch": 9.03893951946976,
+      "grad_norm": 1.421875,
+      "learning_rate": 6.19184753893916e-05,
+      "loss": 4.3649,
+      "mean_token_accuracy": 0.24742332100868225,
+      "num_tokens": 19884910.0,
+      "step": 10910
+    },
+    {
+      "entropy": 5.254814195632934,
+      "epoch": 9.04308202154101,
+      "grad_norm": 1.5390625,
+      "learning_rate": 6.181606546982274e-05,
+      "loss": 4.4473,
+      "mean_token_accuracy": 0.23443322479724885,
+      "num_tokens": 19894838.0,
+      "step": 10915
+    },
+    {
+      "entropy": 5.31064190864563,
+      "epoch": 9.047224523612261,
+      "grad_norm": 1.3515625,
+      "learning_rate": 6.171408556554633e-05,
+      "loss": 4.5176,
+      "mean_token_accuracy": 0.23148290067911148,
+      "num_tokens": 19904809.0,
+      "step": 10920
+    },
+    {
+      "entropy": 5.150750684738159,
+      "epoch": 9.051367025683513,
+      "grad_norm": 1.359375,
+      "learning_rate": 6.16125358822669e-05,
+      "loss": 4.278,
+      "mean_token_accuracy": 0.25764970630407336,
+      "num_tokens": 19913549.0,
+      "step": 10925
+    },
+    {
+      "entropy": 5.20046558380127,
+      "epoch": 9.055509527754763,
+      "grad_norm": 1.484375,
+      "learning_rate": 6.151141662482126e-05,
+      "loss": 4.392,
+      "mean_token_accuracy": 0.24374349564313888,
+      "num_tokens": 19922572.0,
+      "step": 10930
+    },
+    {
+      "entropy": 5.273454380035401,
+      "epoch": 9.059652029826015,
+      "grad_norm": 1.3203125,
+      "learning_rate": 6.141072799717805e-05,
+      "loss": 4.4997,
+      "mean_token_accuracy": 0.23127662241458893,
+      "num_tokens": 19932058.0,
+      "step": 10935
+    },
+    {
+      "entropy": 5.156973218917846,
+      "epoch": 9.063794531897265,
+      "grad_norm": 1.4765625,
+      "learning_rate": 6.131047020243717e-05,
+      "loss": 4.3323,
+      "mean_token_accuracy": 0.24524755626916886,
+      "num_tokens": 19940406.0,
+      "step": 10940
+    },
+    {
+      "entropy": 5.210061025619507,
+      "epoch": 9.067937033968517,
+      "grad_norm": 1.3515625,
+      "learning_rate": 6.121064344282962e-05,
+      "loss": 4.4013,
+      "mean_token_accuracy": 0.2429831638932228,
+      "num_tokens": 19949181.0,
+      "step": 10945
+    },
+    {
+      "entropy": 5.285635852813721,
+      "epoch": 9.072079536039768,
+      "grad_norm": 1.46875,
+      "learning_rate": 6.111124791971687e-05,
+      "loss": 4.455,
+      "mean_token_accuracy": 0.2381931722164154,
+      "num_tokens": 19958159.0,
+      "step": 10950
+    },
+    {
+      "entropy": 5.203660869598389,
+      "epoch": 9.07622203811102,
+      "grad_norm": 1.4296875,
+      "learning_rate": 6.1012283833590465e-05,
+      "loss": 4.4073,
+      "mean_token_accuracy": 0.23713038712739945,
+      "num_tokens": 19967614.0,
+      "step": 10955
+    },
+    {
+      "entropy": 5.19450831413269,
+      "epoch": 9.08036454018227,
+      "grad_norm": 1.390625,
+      "learning_rate": 6.091375138407189e-05,
+      "loss": 4.3645,
+      "mean_token_accuracy": 0.24391285181045533,
+      "num_tokens": 19977697.0,
+      "step": 10960
+    },
+    {
+      "entropy": 5.286946868896484,
+      "epoch": 9.084507042253522,
+      "grad_norm": 1.390625,
+      "learning_rate": 6.0815650769911774e-05,
+      "loss": 4.4528,
+      "mean_token_accuracy": 0.23440741002559662,
+      "num_tokens": 19986152.0,
+      "step": 10965
+    },
+    {
+      "entropy": 5.234480237960815,
+      "epoch": 9.088649544324772,
+      "grad_norm": 1.40625,
+      "learning_rate": 6.0717982188989884e-05,
+      "loss": 4.4269,
+      "mean_token_accuracy": 0.2272487089037895,
+      "num_tokens": 19995904.0,
+      "step": 10970
+    },
+    {
+      "entropy": 5.219088220596314,
+      "epoch": 9.092792046396022,
+      "grad_norm": 1.4140625,
+      "learning_rate": 6.062074583831432e-05,
+      "loss": 4.4299,
+      "mean_token_accuracy": 0.2481380894780159,
+      "num_tokens": 20005516.0,
+      "step": 10975
+    },
+    {
+      "entropy": 5.197182607650757,
+      "epoch": 9.096934548467274,
+      "grad_norm": 1.40625,
+      "learning_rate": 6.052394191402145e-05,
+      "loss": 4.3823,
+      "mean_token_accuracy": 0.23788939118385316,
+      "num_tokens": 20014183.0,
+      "step": 10980
+    },
+    {
+      "entropy": 5.199581241607666,
+      "epoch": 9.101077050538525,
+      "grad_norm": 1.40625,
+      "learning_rate": 6.042757061137545e-05,
+      "loss": 4.4078,
+      "mean_token_accuracy": 0.23736743181943892,
+      "num_tokens": 20023537.0,
+      "step": 10985
+    },
+    {
+      "entropy": 5.305942583084106,
+      "epoch": 9.105219552609777,
+      "grad_norm": 1.4609375,
+      "learning_rate": 6.033163212476762e-05,
+      "loss": 4.4498,
+      "mean_token_accuracy": 0.24004426300525666,
+      "num_tokens": 20032639.0,
+      "step": 10990
+    },
+    {
+      "entropy": 5.27437014579773,
+      "epoch": 9.109362054681027,
+      "grad_norm": 1.4453125,
+      "learning_rate": 6.023612664771651e-05,
+      "loss": 4.4331,
+      "mean_token_accuracy": 0.24564536660909653,
+      "num_tokens": 20041273.0,
+      "step": 10995
+    },
+    {
+      "entropy": 5.284713315963745,
+      "epoch": 9.113504556752279,
+      "grad_norm": 1.5234375,
+      "learning_rate": 6.014105437286705e-05,
+      "loss": 4.3282,
+      "mean_token_accuracy": 0.2430446207523346,
+      "num_tokens": 20049730.0,
+      "step": 11000
+    },
+    {
+      "epoch": 9.113504556752279,
+      "eval_entropy": 5.114147528910688,
+      "eval_loss": 5.719377517700195,
+      "eval_mean_token_accuracy": 0.16999920770557705,
+      "eval_num_tokens": 20049730.0,
+      "eval_runtime": 2.9375,
+      "eval_samples_per_second": 1275.591,
+      "eval_steps_per_second": 159.662,
+      "step": 11000
+    },
+    {
+      "entropy": 5.24180040359497,
+      "epoch": 9.117647058823529,
+      "grad_norm": 1.4765625,
+      "learning_rate": 6.0046415491990355e-05,
+      "loss": 4.3937,
+      "mean_token_accuracy": 0.25516707450151443,
+      "num_tokens": 20059151.0,
+      "step": 11005
+    },
+    {
+      "entropy": 5.202413511276245,
+      "epoch": 9.121789560894781,
+      "grad_norm": 1.5078125,
+      "learning_rate": 5.99522101959835e-05,
+      "loss": 4.3887,
+      "mean_token_accuracy": 0.24211544394493104,
+      "num_tokens": 20068389.0,
+      "step": 11010
+    },
+    {
+      "entropy": 5.281368446350098,
+      "epoch": 9.125932062966031,
+      "grad_norm": 1.4140625,
+      "learning_rate": 5.9858438674868744e-05,
+      "loss": 4.4735,
+      "mean_token_accuracy": 0.23574235886335373,
+      "num_tokens": 20077794.0,
+      "step": 11015
+    },
+    {
+      "entropy": 5.1950140476226805,
+      "epoch": 9.130074565037283,
+      "grad_norm": 1.4921875,
+      "learning_rate": 5.976510111779359e-05,
+      "loss": 4.3843,
+      "mean_token_accuracy": 0.24050966948270797,
+      "num_tokens": 20086641.0,
+      "step": 11020
+    },
+    {
+      "entropy": 5.214427185058594,
+      "epoch": 9.134217067108533,
+      "grad_norm": 1.375,
+      "learning_rate": 5.9672197713030044e-05,
+      "loss": 4.4005,
+      "mean_token_accuracy": 0.23612942844629287,
+      "num_tokens": 20095746.0,
+      "step": 11025
+    },
+    {
+      "entropy": 5.1744287490844725,
+      "epoch": 9.138359569179785,
+      "grad_norm": 1.3125,
+      "learning_rate": 5.9579728647974416e-05,
+      "loss": 4.408,
+      "mean_token_accuracy": 0.24396653473377228,
+      "num_tokens": 20105381.0,
+      "step": 11030
+    },
+    {
+      "entropy": 5.203481578826905,
+      "epoch": 9.142502071251036,
+      "grad_norm": 1.3515625,
+      "learning_rate": 5.948769410914694e-05,
+      "loss": 4.3372,
+      "mean_token_accuracy": 0.2436691477894783,
+      "num_tokens": 20114543.0,
+      "step": 11035
+    },
+    {
+      "entropy": 5.192698907852173,
+      "epoch": 9.146644573322286,
+      "grad_norm": 1.3828125,
+      "learning_rate": 5.939609428219131e-05,
+      "loss": 4.3978,
+      "mean_token_accuracy": 0.23308191001415252,
+      "num_tokens": 20123528.0,
+      "step": 11040
+    },
+    {
+      "entropy": 5.177680969238281,
+      "epoch": 9.150787075393538,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.930492935187446e-05,
+      "loss": 4.3551,
+      "mean_token_accuracy": 0.24980314522981645,
+      "num_tokens": 20132619.0,
+      "step": 11045
+    },
+    {
+      "entropy": 5.209997129440308,
+      "epoch": 9.154929577464788,
+      "grad_norm": 1.4453125,
+      "learning_rate": 5.921419950208592e-05,
+      "loss": 4.3518,
+      "mean_token_accuracy": 0.2526188284158707,
+      "num_tokens": 20140938.0,
+      "step": 11050
+    },
+    {
+      "entropy": 5.241106605529785,
+      "epoch": 9.15907207953604,
+      "grad_norm": 1.515625,
+      "learning_rate": 5.912390491583776e-05,
+      "loss": 4.4235,
+      "mean_token_accuracy": 0.23612497448921205,
+      "num_tokens": 20149925.0,
+      "step": 11055
+    },
+    {
+      "entropy": 5.194478845596313,
+      "epoch": 9.16321458160729,
+      "grad_norm": 1.4453125,
+      "learning_rate": 5.9034045775264016e-05,
+      "loss": 4.3755,
+      "mean_token_accuracy": 0.24702086597681044,
+      "num_tokens": 20158487.0,
+      "step": 11060
+    },
+    {
+      "entropy": 5.317248868942261,
+      "epoch": 9.167357083678542,
+      "grad_norm": 1.2734375,
+      "learning_rate": 5.894462226162042e-05,
+      "loss": 4.5343,
+      "mean_token_accuracy": 0.22942538410425187,
+      "num_tokens": 20168185.0,
+      "step": 11065
+    },
+    {
+      "entropy": 5.223442888259887,
+      "epoch": 9.171499585749793,
+      "grad_norm": 1.5,
+      "learning_rate": 5.8855634555283954e-05,
+      "loss": 4.3716,
+      "mean_token_accuracy": 0.25171531438827516,
+      "num_tokens": 20176629.0,
+      "step": 11070
+    },
+    {
+      "entropy": 5.173899793624878,
+      "epoch": 9.175642087821045,
+      "grad_norm": 1.515625,
+      "learning_rate": 5.876708283575254e-05,
+      "loss": 4.2819,
+      "mean_token_accuracy": 0.24907022416591645,
+      "num_tokens": 20185269.0,
+      "step": 11075
+    },
+    {
+      "entropy": 5.215456008911133,
+      "epoch": 9.179784589892295,
+      "grad_norm": 1.375,
+      "learning_rate": 5.867896728164468e-05,
+      "loss": 4.4236,
+      "mean_token_accuracy": 0.23553382754325866,
+      "num_tokens": 20194414.0,
+      "step": 11080
+    },
+    {
+      "entropy": 5.202685594558716,
+      "epoch": 9.183927091963547,
+      "grad_norm": 1.40625,
+      "learning_rate": 5.859128807069905e-05,
+      "loss": 4.3699,
+      "mean_token_accuracy": 0.2423833727836609,
+      "num_tokens": 20203139.0,
+      "step": 11085
+    },
+    {
+      "entropy": 5.1953950881958,
+      "epoch": 9.188069594034797,
+      "grad_norm": 1.4296875,
+      "learning_rate": 5.8504045379774246e-05,
+      "loss": 4.3555,
+      "mean_token_accuracy": 0.23990215510129928,
+      "num_tokens": 20211767.0,
+      "step": 11090
+    },
+    {
+      "entropy": 5.214787769317627,
+      "epoch": 9.192212096106047,
+      "grad_norm": 1.4140625,
+      "learning_rate": 5.841723938484826e-05,
+      "loss": 4.383,
+      "mean_token_accuracy": 0.23939463198184968,
+      "num_tokens": 20219916.0,
+      "step": 11095
+    },
+    {
+      "entropy": 5.167069292068481,
+      "epoch": 9.1963545981773,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.833087026101834e-05,
+      "loss": 4.3952,
+      "mean_token_accuracy": 0.2448927640914917,
+      "num_tokens": 20229082.0,
+      "step": 11100
+    },
+    {
+      "entropy": 5.230984497070312,
+      "epoch": 9.20049710024855,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.824493818250034e-05,
+      "loss": 4.48,
+      "mean_token_accuracy": 0.23048989474773407,
+      "num_tokens": 20238758.0,
+      "step": 11105
+    },
+    {
+      "entropy": 5.170281887054443,
+      "epoch": 9.204639602319801,
+      "grad_norm": 1.5625,
+      "learning_rate": 5.815944332262878e-05,
+      "loss": 4.386,
+      "mean_token_accuracy": 0.2369576647877693,
+      "num_tokens": 20248308.0,
+      "step": 11110
+    },
+    {
+      "entropy": 5.127435874938965,
+      "epoch": 9.208782104391052,
+      "grad_norm": 1.4296875,
+      "learning_rate": 5.8074385853856035e-05,
+      "loss": 4.2005,
+      "mean_token_accuracy": 0.2596850335597992,
+      "num_tokens": 20257282.0,
+      "step": 11115
+    },
+    {
+      "entropy": 5.232883644104004,
+      "epoch": 9.212924606462304,
+      "grad_norm": 1.4140625,
+      "learning_rate": 5.7989765947752384e-05,
+      "loss": 4.4306,
+      "mean_token_accuracy": 0.23911173194646834,
+      "num_tokens": 20267680.0,
+      "step": 11120
+    },
+    {
+      "entropy": 5.277715063095092,
+      "epoch": 9.217067108533554,
+      "grad_norm": 1.640625,
+      "learning_rate": 5.790558377500537e-05,
+      "loss": 4.4414,
+      "mean_token_accuracy": 0.23982625156641008,
+      "num_tokens": 20276679.0,
+      "step": 11125
+    },
+    {
+      "entropy": 5.199434614181518,
+      "epoch": 9.221209610604806,
+      "grad_norm": 1.4453125,
+      "learning_rate": 5.7821839505419636e-05,
+      "loss": 4.3163,
+      "mean_token_accuracy": 0.2499776855111122,
+      "num_tokens": 20285287.0,
+      "step": 11130
+    },
+    {
+      "entropy": 5.310716199874878,
+      "epoch": 9.225352112676056,
+      "grad_norm": 1.453125,
+      "learning_rate": 5.773853330791659e-05,
+      "loss": 4.4674,
+      "mean_token_accuracy": 0.23559706211090087,
+      "num_tokens": 20294558.0,
+      "step": 11135
+    },
+    {
+      "entropy": 5.209498119354248,
+      "epoch": 9.229494614747308,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.765566535053383e-05,
+      "loss": 4.4195,
+      "mean_token_accuracy": 0.24156573712825774,
+      "num_tokens": 20303451.0,
+      "step": 11140
+    },
+    {
+      "entropy": 5.204775094985962,
+      "epoch": 9.233637116818558,
+      "grad_norm": 1.4140625,
+      "learning_rate": 5.757323580042519e-05,
+      "loss": 4.3682,
+      "mean_token_accuracy": 0.241061794757843,
+      "num_tokens": 20312210.0,
+      "step": 11145
+    },
+    {
+      "entropy": 5.200506544113159,
+      "epoch": 9.23777961888981,
+      "grad_norm": 1.3984375,
+      "learning_rate": 5.7491244823860026e-05,
+      "loss": 4.4276,
+      "mean_token_accuracy": 0.2461535409092903,
+      "num_tokens": 20321636.0,
+      "step": 11150
+    },
+    {
+      "entropy": 5.105093193054199,
+      "epoch": 9.24192212096106,
+      "grad_norm": 1.40625,
+      "learning_rate": 5.7409692586223105e-05,
+      "loss": 4.2783,
+      "mean_token_accuracy": 0.24930579364299774,
+      "num_tokens": 20330210.0,
+      "step": 11155
+    },
+    {
+      "entropy": 5.175314474105835,
+      "epoch": 9.24606462303231,
+      "grad_norm": 1.5546875,
+      "learning_rate": 5.7328579252014204e-05,
+      "loss": 4.3896,
+      "mean_token_accuracy": 0.23808914572000503,
+      "num_tokens": 20338992.0,
+      "step": 11160
+    },
+    {
+      "entropy": 5.202330017089844,
+      "epoch": 9.250207125103563,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.724790498484778e-05,
+      "loss": 4.4045,
+      "mean_token_accuracy": 0.24115368276834487,
+      "num_tokens": 20347645.0,
+      "step": 11165
+    },
+    {
+      "entropy": 5.173482513427734,
+      "epoch": 9.254349627174813,
+      "grad_norm": 1.4296875,
+      "learning_rate": 5.7167669947452654e-05,
+      "loss": 4.3566,
+      "mean_token_accuracy": 0.2447153389453888,
+      "num_tokens": 20355415.0,
+      "step": 11170
+    },
+    {
+      "entropy": 5.183321619033814,
+      "epoch": 9.258492129246065,
+      "grad_norm": 1.5703125,
+      "learning_rate": 5.708787430167163e-05,
+      "loss": 4.3823,
+      "mean_token_accuracy": 0.2521390214562416,
+      "num_tokens": 20365238.0,
+      "step": 11175
+    },
+    {
+      "entropy": 5.227640199661255,
+      "epoch": 9.262634631317315,
+      "grad_norm": 1.3359375,
+      "learning_rate": 5.700851820846129e-05,
+      "loss": 4.3807,
+      "mean_token_accuracy": 0.2528798535466194,
+      "num_tokens": 20374522.0,
+      "step": 11180
+    },
+    {
+      "entropy": 5.251240873336792,
+      "epoch": 9.266777133388567,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.69296018278915e-05,
+      "loss": 4.3973,
+      "mean_token_accuracy": 0.24214224219322206,
+      "num_tokens": 20383449.0,
+      "step": 11185
+    },
+    {
+      "entropy": 5.21783037185669,
+      "epoch": 9.270919635459817,
+      "grad_norm": 1.4296875,
+      "learning_rate": 5.685112531914531e-05,
+      "loss": 4.4003,
+      "mean_token_accuracy": 0.2373995766043663,
+      "num_tokens": 20392236.0,
+      "step": 11190
+    },
+    {
+      "entropy": 5.172263288497925,
+      "epoch": 9.27506213753107,
+      "grad_norm": 1.5078125,
+      "learning_rate": 5.677308884051833e-05,
+      "loss": 4.3772,
+      "mean_token_accuracy": 0.23038736283779143,
+      "num_tokens": 20401416.0,
+      "step": 11195
+    },
+    {
+      "entropy": 5.218154096603394,
+      "epoch": 9.27920463960232,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.669549254941865e-05,
+      "loss": 4.3792,
+      "mean_token_accuracy": 0.24804492741823198,
+      "num_tokens": 20410136.0,
+      "step": 11200
+    },
+    {
+      "entropy": 5.19579849243164,
+      "epoch": 9.283347141673572,
+      "grad_norm": 1.390625,
+      "learning_rate": 5.661833660236657e-05,
+      "loss": 4.4006,
+      "mean_token_accuracy": 0.2395488888025284,
+      "num_tokens": 20419527.0,
+      "step": 11205
+    },
+    {
+      "entropy": 5.1951089859008786,
+      "epoch": 9.287489643744822,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.6541621154993956e-05,
+      "loss": 4.3813,
+      "mean_token_accuracy": 0.24335796087980271,
+      "num_tokens": 20428540.0,
+      "step": 11210
+    },
+    {
+      "entropy": 5.2156908988952635,
+      "epoch": 9.291632145816074,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.646534636204434e-05,
+      "loss": 4.3591,
+      "mean_token_accuracy": 0.2517013385891914,
+      "num_tokens": 20437979.0,
+      "step": 11215
+    },
+    {
+      "entropy": 5.294255638122559,
+      "epoch": 9.295774647887324,
+      "grad_norm": 1.4453125,
+      "learning_rate": 5.6389512377372245e-05,
+      "loss": 4.4703,
+      "mean_token_accuracy": 0.23591685444116592,
+      "num_tokens": 20447352.0,
+      "step": 11220
+    },
+    {
+      "entropy": 5.196146535873413,
+      "epoch": 9.299917149958574,
+      "grad_norm": 1.4609375,
+      "learning_rate": 5.6314119353943155e-05,
+      "loss": 4.4195,
+      "mean_token_accuracy": 0.23184800893068314,
+      "num_tokens": 20456085.0,
+      "step": 11225
+    },
+    {
+      "entropy": 5.144795989990234,
+      "epoch": 9.304059652029826,
+      "grad_norm": 1.453125,
+      "learning_rate": 5.6239167443833004e-05,
+      "loss": 4.293,
+      "mean_token_accuracy": 0.25145078748464583,
+      "num_tokens": 20464629.0,
+      "step": 11230
+    },
+    {
+      "entropy": 5.24092116355896,
+      "epoch": 9.308202154101076,
+      "grad_norm": 1.5,
+      "learning_rate": 5.6164656798227973e-05,
+      "loss": 4.41,
+      "mean_token_accuracy": 0.24018437564373016,
+      "num_tokens": 20473525.0,
+      "step": 11235
+    },
+    {
+      "entropy": 5.281963586807251,
+      "epoch": 9.312344656172328,
+      "grad_norm": 1.3984375,
+      "learning_rate": 5.6090587567424247e-05,
+      "loss": 4.5032,
+      "mean_token_accuracy": 0.23369361460208893,
+      "num_tokens": 20482444.0,
+      "step": 11240
+    },
+    {
+      "entropy": 5.235007619857788,
+      "epoch": 9.316487158243579,
+      "grad_norm": 1.4609375,
+      "learning_rate": 5.60169599008275e-05,
+      "loss": 4.4162,
+      "mean_token_accuracy": 0.24191972315311433,
+      "num_tokens": 20490824.0,
+      "step": 11245
+    },
+    {
+      "entropy": 5.182619524002075,
+      "epoch": 9.32062966031483,
+      "grad_norm": 1.34375,
+      "learning_rate": 5.594377394695277e-05,
+      "loss": 4.42,
+      "mean_token_accuracy": 0.240438874065876,
+      "num_tokens": 20499935.0,
+      "step": 11250
+    },
+    {
+      "entropy": 5.228481864929199,
+      "epoch": 9.32477216238608,
+      "grad_norm": 1.3828125,
+      "learning_rate": 5.587102985342416e-05,
+      "loss": 4.4121,
+      "mean_token_accuracy": 0.2429677814245224,
+      "num_tokens": 20508833.0,
+      "step": 11255
+    },
+    {
+      "entropy": 5.21046781539917,
+      "epoch": 9.328914664457333,
+      "grad_norm": 1.5,
+      "learning_rate": 5.579872776697443e-05,
+      "loss": 4.3938,
+      "mean_token_accuracy": 0.23724178969860077,
+      "num_tokens": 20516960.0,
+      "step": 11260
+    },
+    {
+      "entropy": 5.196974182128907,
+      "epoch": 9.333057166528583,
+      "grad_norm": 1.2109375,
+      "learning_rate": 5.572686783344483e-05,
+      "loss": 4.3739,
+      "mean_token_accuracy": 0.24827260971069337,
+      "num_tokens": 20526009.0,
+      "step": 11265
+    },
+    {
+      "entropy": 5.23128490447998,
+      "epoch": 9.337199668599835,
+      "grad_norm": 1.40625,
+      "learning_rate": 5.565545019778468e-05,
+      "loss": 4.4189,
+      "mean_token_accuracy": 0.23755760490894318,
+      "num_tokens": 20534684.0,
+      "step": 11270
+    },
+    {
+      "entropy": 5.194524431228638,
+      "epoch": 9.341342170671085,
+      "grad_norm": 1.4921875,
+      "learning_rate": 5.558447500405111e-05,
+      "loss": 4.3423,
+      "mean_token_accuracy": 0.2431781142950058,
+      "num_tokens": 20543429.0,
+      "step": 11275
+    },
+    {
+      "entropy": 5.225367164611816,
+      "epoch": 9.345484672742336,
+      "grad_norm": 1.3671875,
+      "learning_rate": 5.5513942395408883e-05,
+      "loss": 4.3467,
+      "mean_token_accuracy": 0.24092029184103012,
+      "num_tokens": 20552928.0,
+      "step": 11280
+    },
+    {
+      "entropy": 5.171789216995239,
+      "epoch": 9.349627174813588,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.544385251412998e-05,
+      "loss": 4.3517,
+      "mean_token_accuracy": 0.2455303981900215,
+      "num_tokens": 20562133.0,
+      "step": 11285
+    },
+    {
+      "entropy": 5.202183961868286,
+      "epoch": 9.353769676884838,
+      "grad_norm": 1.40625,
+      "learning_rate": 5.537420550159335e-05,
+      "loss": 4.399,
+      "mean_token_accuracy": 0.23516155332326888,
+      "num_tokens": 20571901.0,
+      "step": 11290
+    },
+    {
+      "entropy": 5.216619920730591,
+      "epoch": 9.35791217895609,
+      "grad_norm": 1.4296875,
+      "learning_rate": 5.530500149828463e-05,
+      "loss": 4.4419,
+      "mean_token_accuracy": 0.23697989135980607,
+      "num_tokens": 20581503.0,
+      "step": 11295
+    },
+    {
+      "entropy": 5.211494112014771,
+      "epoch": 9.36205468102734,
+      "grad_norm": 1.4296875,
+      "learning_rate": 5.523624064379585e-05,
+      "loss": 4.4523,
+      "mean_token_accuracy": 0.22732136994600297,
+      "num_tokens": 20590338.0,
+      "step": 11300
+    },
+    {
+      "entropy": 5.209840297698975,
+      "epoch": 9.366197183098592,
+      "grad_norm": 1.4609375,
+      "learning_rate": 5.516792307682516e-05,
+      "loss": 4.4431,
+      "mean_token_accuracy": 0.23397488594055177,
+      "num_tokens": 20599305.0,
+      "step": 11305
+    },
+    {
+      "entropy": 5.180578374862671,
+      "epoch": 9.370339685169842,
+      "grad_norm": 1.4140625,
+      "learning_rate": 5.510004893517655e-05,
+      "loss": 4.333,
+      "mean_token_accuracy": 0.24797011613845826,
+      "num_tokens": 20608043.0,
+      "step": 11310
+    },
+    {
+      "entropy": 5.196534729003906,
+      "epoch": 9.374482187241094,
+      "grad_norm": 1.3125,
+      "learning_rate": 5.503261835575965e-05,
+      "loss": 4.4264,
+      "mean_token_accuracy": 0.23905286490917205,
+      "num_tokens": 20617121.0,
+      "step": 11315
+    },
+    {
+      "entropy": 5.208180236816406,
+      "epoch": 9.378624689312344,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.4965631474589205e-05,
+      "loss": 4.3852,
+      "mean_token_accuracy": 0.2385222390294075,
+      "num_tokens": 20625935.0,
+      "step": 11320
+    },
+    {
+      "entropy": 5.1727550506591795,
+      "epoch": 9.382767191383596,
+      "grad_norm": 1.3125,
+      "learning_rate": 5.4899088426785145e-05,
+      "loss": 4.3359,
+      "mean_token_accuracy": 0.24215788245201111,
+      "num_tokens": 20635606.0,
+      "step": 11325
+    },
+    {
+      "entropy": 5.159403991699219,
+      "epoch": 9.386909693454847,
+      "grad_norm": 1.6015625,
+      "learning_rate": 5.4832989346572046e-05,
+      "loss": 4.3162,
+      "mean_token_accuracy": 0.26010559499263763,
+      "num_tokens": 20644254.0,
+      "step": 11330
+    },
+    {
+      "entropy": 5.231632709503174,
+      "epoch": 9.391052195526099,
+      "grad_norm": 1.3984375,
+      "learning_rate": 5.476733436727895e-05,
+      "loss": 4.3983,
+      "mean_token_accuracy": 0.24107942581176758,
+      "num_tokens": 20653157.0,
+      "step": 11335
+    },
+    {
+      "entropy": 5.194467544555664,
+      "epoch": 9.395194697597349,
+      "grad_norm": 1.5078125,
+      "learning_rate": 5.47021236213392e-05,
+      "loss": 4.3836,
+      "mean_token_accuracy": 0.2452881082892418,
+      "num_tokens": 20662169.0,
+      "step": 11340
+    },
+    {
+      "entropy": 5.245670223236084,
+      "epoch": 9.399337199668599,
+      "grad_norm": 1.3828125,
+      "learning_rate": 5.463735724028991e-05,
+      "loss": 4.4267,
+      "mean_token_accuracy": 0.23695690035820008,
+      "num_tokens": 20671915.0,
+      "step": 11345
+    },
+    {
+      "entropy": 5.230974960327148,
+      "epoch": 9.403479701739851,
+      "grad_norm": 1.4375,
+      "learning_rate": 5.457303535477202e-05,
+      "loss": 4.4205,
+      "mean_token_accuracy": 0.24769917875528336,
+      "num_tokens": 20681157.0,
+      "step": 11350
+    },
+    {
+      "entropy": 5.197664594650268,
+      "epoch": 9.407622203811101,
+      "grad_norm": 1.34375,
+      "learning_rate": 5.450915809452976e-05,
+      "loss": 4.3951,
+      "mean_token_accuracy": 0.24207646101713182,
+      "num_tokens": 20690972.0,
+      "step": 11355
+    },
+    {
+      "entropy": 5.2415430545806885,
+      "epoch": 9.411764705882353,
+      "grad_norm": 1.4296875,
+      "learning_rate": 5.444572558841053e-05,
+      "loss": 4.5017,
+      "mean_token_accuracy": 0.23027117550373077,
+      "num_tokens": 20700250.0,
+      "step": 11360
+    },
+    {
+      "entropy": 5.1750246524810795,
+      "epoch": 9.415907207953603,
+      "grad_norm": 1.390625,
+      "learning_rate": 5.4382737964364674e-05,
+      "loss": 4.3287,
+      "mean_token_accuracy": 0.24736017882823944,
+      "num_tokens": 20708965.0,
+      "step": 11365
+    },
+    {
+      "entropy": 5.213246583938599,
+      "epoch": 9.420049710024855,
+      "grad_norm": 1.4140625,
+      "learning_rate": 5.432019534944507e-05,
+      "loss": 4.3582,
+      "mean_token_accuracy": 0.2454348012804985,
+      "num_tokens": 20717750.0,
+      "step": 11370
+    },
+    {
+      "entropy": 5.293984889984131,
+      "epoch": 9.424192212096106,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.4258097869807054e-05,
+      "loss": 4.4922,
+      "mean_token_accuracy": 0.23086071908473968,
+      "num_tokens": 20727904.0,
+      "step": 11375
+    },
+    {
+      "entropy": 5.3053559303283695,
+      "epoch": 9.428334714167358,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.4196445650708e-05,
+      "loss": 4.4877,
+      "mean_token_accuracy": 0.2399384930729866,
+      "num_tokens": 20737550.0,
+      "step": 11380
+    },
+    {
+      "entropy": 5.212822723388672,
+      "epoch": 9.432477216238608,
+      "grad_norm": 1.296875,
+      "learning_rate": 5.4135238816507154e-05,
+      "loss": 4.4095,
+      "mean_token_accuracy": 0.2422664538025856,
+      "num_tokens": 20747126.0,
+      "step": 11385
+    },
+    {
+      "entropy": 5.2534974098205565,
+      "epoch": 9.43661971830986,
+      "grad_norm": 1.484375,
+      "learning_rate": 5.407447749066542e-05,
+      "loss": 4.4318,
+      "mean_token_accuracy": 0.24334049671888353,
+      "num_tokens": 20755366.0,
+      "step": 11390
+    },
+    {
+      "entropy": 5.256351089477539,
+      "epoch": 9.44076222038111,
+      "grad_norm": 1.53125,
+      "learning_rate": 5.401416179574502e-05,
+      "loss": 4.3685,
+      "mean_token_accuracy": 0.24875077307224275,
+      "num_tokens": 20764277.0,
+      "step": 11395
+    },
+    {
+      "entropy": 5.181049728393555,
+      "epoch": 9.44490472245236,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.395429185340929e-05,
+      "loss": 4.3055,
+      "mean_token_accuracy": 0.25715720653533936,
+      "num_tokens": 20772839.0,
+      "step": 11400
+    },
+    {
+      "entropy": 5.2133856296539305,
+      "epoch": 9.449047224523612,
+      "grad_norm": 1.3984375,
+      "learning_rate": 5.389486778442248e-05,
+      "loss": 4.397,
+      "mean_token_accuracy": 0.24174655675888063,
+      "num_tokens": 20782135.0,
+      "step": 11405
+    },
+    {
+      "entropy": 5.255029487609863,
+      "epoch": 9.453189726594863,
+      "grad_norm": 1.40625,
+      "learning_rate": 5.3835889708649374e-05,
+      "loss": 4.4017,
+      "mean_token_accuracy": 0.2441907897591591,
+      "num_tokens": 20790746.0,
+      "step": 11410
+    },
+    {
+      "entropy": 5.227059936523437,
+      "epoch": 9.457332228666115,
+      "grad_norm": 1.53125,
+      "learning_rate": 5.3777357745055276e-05,
+      "loss": 4.4452,
+      "mean_token_accuracy": 0.24071175754070281,
+      "num_tokens": 20800260.0,
+      "step": 11415
+    },
+    {
+      "entropy": 5.238898229598999,
+      "epoch": 9.461474730737365,
+      "grad_norm": 1.40625,
+      "learning_rate": 5.371927201170547e-05,
+      "loss": 4.4318,
+      "mean_token_accuracy": 0.23850919157266617,
+      "num_tokens": 20809168.0,
+      "step": 11420
+    },
+    {
+      "entropy": 5.25923342704773,
+      "epoch": 9.465617232808617,
+      "grad_norm": 1.390625,
+      "learning_rate": 5.3661632625765284e-05,
+      "loss": 4.4814,
+      "mean_token_accuracy": 0.23207752406597137,
+      "num_tokens": 20819697.0,
+      "step": 11425
+    },
+    {
+      "entropy": 5.214989042282104,
+      "epoch": 9.469759734879867,
+      "grad_norm": 1.3828125,
+      "learning_rate": 5.360443970349965e-05,
+      "loss": 4.3423,
+      "mean_token_accuracy": 0.24522960633039476,
+      "num_tokens": 20828836.0,
+      "step": 11430
+    },
+    {
+      "entropy": 5.235601234436035,
+      "epoch": 9.473902236951119,
+      "grad_norm": 1.3046875,
+      "learning_rate": 5.3547693360272904e-05,
+      "loss": 4.4556,
+      "mean_token_accuracy": 0.23457100838422776,
+      "num_tokens": 20838176.0,
+      "step": 11435
+    },
+    {
+      "entropy": 5.19571967124939,
+      "epoch": 9.47804473902237,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.349139371054865e-05,
+      "loss": 4.4529,
+      "mean_token_accuracy": 0.23999389111995698,
+      "num_tokens": 20848110.0,
+      "step": 11440
+    },
+    {
+      "entropy": 5.244784593582153,
+      "epoch": 9.482187241093621,
+      "grad_norm": 1.5078125,
+      "learning_rate": 5.343554086788945e-05,
+      "loss": 4.3882,
+      "mean_token_accuracy": 0.2441453754901886,
+      "num_tokens": 20856680.0,
+      "step": 11445
+    },
+    {
+      "entropy": 5.20223650932312,
+      "epoch": 9.486329743164871,
+      "grad_norm": 1.3984375,
+      "learning_rate": 5.338013494495658e-05,
+      "loss": 4.4097,
+      "mean_token_accuracy": 0.24081601649522782,
+      "num_tokens": 20865099.0,
+      "step": 11450
+    },
+    {
+      "entropy": 5.218722105026245,
+      "epoch": 9.490472245236123,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.3325176053509826e-05,
+      "loss": 4.442,
+      "mean_token_accuracy": 0.24055764228105544,
+      "num_tokens": 20874134.0,
+      "step": 11455
+    },
+    {
+      "entropy": 5.219801807403565,
+      "epoch": 9.494614747307374,
+      "grad_norm": 1.4765625,
+      "learning_rate": 5.3270664304407256e-05,
+      "loss": 4.3779,
+      "mean_token_accuracy": 0.2434104412794113,
+      "num_tokens": 20883136.0,
+      "step": 11460
+    },
+    {
+      "entropy": 5.199105167388916,
+      "epoch": 9.498757249378624,
+      "grad_norm": 1.5546875,
+      "learning_rate": 5.32165998076051e-05,
+      "loss": 4.387,
+      "mean_token_accuracy": 0.2375896692276001,
+      "num_tokens": 20891028.0,
+      "step": 11465
+    },
+    {
+      "entropy": 5.177123546600342,
+      "epoch": 9.502899751449876,
+      "grad_norm": 1.375,
+      "learning_rate": 5.316298267215728e-05,
+      "loss": 4.4052,
+      "mean_token_accuracy": 0.23749941140413283,
+      "num_tokens": 20900471.0,
+      "step": 11470
+    },
+    {
+      "entropy": 5.221874094009399,
+      "epoch": 9.507042253521126,
+      "grad_norm": 1.375,
+      "learning_rate": 5.310981300621547e-05,
+      "loss": 4.3999,
+      "mean_token_accuracy": 0.23606719821691513,
+      "num_tokens": 20909854.0,
+      "step": 11475
+    },
+    {
+      "entropy": 5.225886297225952,
+      "epoch": 9.511184755592378,
+      "grad_norm": 1.4453125,
+      "learning_rate": 5.305709091702865e-05,
+      "loss": 4.4125,
+      "mean_token_accuracy": 0.22680311203002929,
+      "num_tokens": 20918457.0,
+      "step": 11480
+    },
+    {
+      "entropy": 5.226688003540039,
+      "epoch": 9.515327257663628,
+      "grad_norm": 1.4140625,
+      "learning_rate": 5.30048165109431e-05,
+      "loss": 4.3937,
+      "mean_token_accuracy": 0.23724466562271118,
+      "num_tokens": 20928194.0,
+      "step": 11485
+    },
+    {
+      "entropy": 5.200339078903198,
+      "epoch": 9.51946975973488,
+      "grad_norm": 1.3515625,
+      "learning_rate": 5.295298989340196e-05,
+      "loss": 4.3571,
+      "mean_token_accuracy": 0.24498011618852616,
+      "num_tokens": 20938674.0,
+      "step": 11490
+    },
+    {
+      "entropy": 5.2281170845031735,
+      "epoch": 9.52361226180613,
+      "grad_norm": 1.4609375,
+      "learning_rate": 5.290161116894518e-05,
+      "loss": 4.4226,
+      "mean_token_accuracy": 0.23861729800701142,
+      "num_tokens": 20947168.0,
+      "step": 11495
+    },
+    {
+      "entropy": 5.249653100967407,
+      "epoch": 9.527754763877383,
+      "grad_norm": 1.5859375,
+      "learning_rate": 5.285068044120927e-05,
+      "loss": 4.4328,
+      "mean_token_accuracy": 0.2450338751077652,
+      "num_tokens": 20956075.0,
+      "step": 11500
+    },
+    {
+      "epoch": 9.527754763877383,
+      "eval_entropy": 5.114104460043185,
+      "eval_loss": 5.720701217651367,
+      "eval_mean_token_accuracy": 0.16993870158820773,
+      "eval_num_tokens": 20956075.0,
+      "eval_runtime": 2.7587,
+      "eval_samples_per_second": 1358.255,
+      "eval_steps_per_second": 170.008,
+      "step": 11500
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 12060,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 3.1269847837824e+16,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}
diff --git a/checkpoint-11500/training_args.bin b/checkpoint-11500/training_args.bin
new file mode 100644
index 0000000..47a7b32
--- /dev/null
+++ b/checkpoint-11500/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e406e906697be5d5c4bea7f90a038122ca162eb6b7e40512a32661ef55af9075
+size 6353
diff --git a/checkpoint-12000/added_tokens.json b/checkpoint-12000/added_tokens.json
new file mode 100644
index 0000000..b3dbcdb
--- /dev/null
+++ b/checkpoint-12000/added_tokens.json
@@ -0,0 +1,1202 @@
+{
+  "<pad>": 50002,
+  "[CLS]": 50000,
+  "[MASK]": 50003,
+  "[SEP]": 50001,
+  "[XXXXX0]": 50771,
+  "[XXXXX1000]": 50549,
+  "[XXXXX1001]": 50657,
+  "[XXXXX1002]": 51158,
+  "[XXXXX1003]": 51044,
+  "[XXXXX1004]": 50688,
+  "[XXXXX1005]": 50689,
+  "[XXXXX1006]": 50410,
+  "[XXXXX1007]": 50724,
+  "[XXXXX1008]": 50171,
+  "[XXXXX1009]": 51077,
+  "[XXXXX100]": 50091,
+  "[XXXXX1010]": 50639,
+  "[XXXXX1011]": 51094,
+  "[XXXXX1012]": 50392,
+  "[XXXXX1013]": 50626,
+  "[XXXXX1014]": 50991,
+  "[XXXXX1015]": 50529,
+  "[XXXXX1016]": 51193,
+  "[XXXXX1017]": 51073,
+  "[XXXXX1018]": 51104,
+  "[XXXXX1019]": 50775,
+  "[XXXXX101]": 50139,
+  "[XXXXX1020]": 50157,
+  "[XXXXX1021]": 50934,
+  "[XXXXX1022]": 51159,
+  "[XXXXX1023]": 50048,
+  "[XXXXX1024]": 51123,
+  "[XXXXX1025]": 50084,
+  "[XXXXX1026]": 50813,
+  "[XXXXX1027]": 50725,
+  "[XXXXX1028]": 50931,
+  "[XXXXX1029]": 50233,
+  "[XXXXX102]": 50213,
+  "[XXXXX1030]": 51023,
+  "[XXXXX1031]": 50098,
+  "[XXXXX1032]": 50802,
+  "[XXXXX1033]": 50061,
+  "[XXXXX1034]": 51139,
+  "[XXXXX1035]": 51110,
+  "[XXXXX1036]": 50204,
+  "[XXXXX1037]": 50023,
+  "[XXXXX1038]": 50142,
+  "[XXXXX1039]": 50328,
+  "[XXXXX103]": 50087,
+  "[XXXXX1040]": 50435,
+  "[XXXXX1041]": 50489,
+  "[XXXXX1042]": 50216,
+  "[XXXXX1043]": 50144,
+  "[XXXXX1044]": 50832,
+  "[XXXXX1045]": 50566,
+  "[XXXXX1046]": 50922,
+  "[XXXXX1047]": 50796,
+  "[XXXXX1048]": 50533,
+  "[XXXXX1049]": 50433,
+  "[XXXXX104]": 50478,
+  "[XXXXX1050]": 50953,
+  "[XXXXX1051]": 50497,
+  "[XXXXX1052]": 50655,
+  "[XXXXX1053]": 50881,
+  "[XXXXX1054]": 50461,
+  "[XXXXX1055]": 50052,
+  "[XXXXX1056]": 50219,
+  "[XXXXX1057]": 50789,
+  "[XXXXX1058]": 50121,
+  "[XXXXX1059]": 51002,
+  "[XXXXX105]": 51192,
+  "[XXXXX1060]": 50158,
+  "[XXXXX1061]": 50352,
+  "[XXXXX1062]": 50637,
+  "[XXXXX1063]": 50440,
+  "[XXXXX1064]": 50590,
+  "[XXXXX1065]": 51107,
+  "[XXXXX1066]": 50758,
+  "[XXXXX1067]": 51011,
+  "[XXXXX1068]": 50985,
+  "[XXXXX1069]": 51175,
+  "[XXXXX106]": 50532,
+  "[XXXXX1070]": 50790,
+  "[XXXXX1071]": 50394,
+  "[XXXXX1072]": 50852,
+  "[XXXXX1073]": 50869,
+  "[XXXXX1074]": 50126,
+  "[XXXXX1075]": 50783,
+  "[XXXXX1076]": 50806,
+  "[XXXXX1077]": 50882,
+  "[XXXXX1078]": 50726,
+  "[XXXXX1079]": 51010,
+  "[XXXXX107]": 50714,
+  "[XXXXX1080]": 50168,
+  "[XXXXX1081]": 50425,
+  "[XXXXX1082]": 50848,
+  "[XXXXX1083]": 50014,
+  "[XXXXX1084]": 50341,
+  "[XXXXX1085]": 50734,
+  "[XXXXX1086]": 50664,
+  "[XXXXX1087]": 51007,
+  "[XXXXX1088]": 51151,
+  "[XXXXX1089]": 50269,
+  "[XXXXX108]": 50996,
+  "[XXXXX1090]": 50826,
+  "[XXXXX1091]": 51105,
+  "[XXXXX1092]": 50731,
+  "[XXXXX1093]": 50856,
+  "[XXXXX1094]": 50369,
+  "[XXXXX1095]": 50065,
+  "[XXXXX1096]": 50309,
+  "[XXXXX1097]": 50838,
+  "[XXXXX1098]": 50451,
+  "[XXXXX1099]": 50384,
+  "[XXXXX109]": 50543,
+  "[XXXXX10]": 50325,
+  "[XXXXX1100]": 50318,
+  "[XXXXX1101]": 50764,
+  "[XXXXX1102]": 51025,
+  "[XXXXX1103]": 50642,
+  "[XXXXX1104]": 50665,
+  "[XXXXX1105]": 50855,
+  "[XXXXX1106]": 51063,
+  "[XXXXX1107]": 50025,
+  "[XXXXX1108]": 50122,
+  "[XXXXX1109]": 50470,
+  "[XXXXX110]": 50062,
+  "[XXXXX1110]": 51019,
+  "[XXXXX1111]": 51124,
+  "[XXXXX1112]": 50146,
+  "[XXXXX1113]": 51125,
+  "[XXXXX1114]": 50434,
+  "[XXXXX1115]": 50818,
+  "[XXXXX1116]": 50960,
+  "[XXXXX1117]": 50258,
+  "[XXXXX1118]": 50596,
+  "[XXXXX1119]": 50083,
+  "[XXXXX111]": 51064,
+  "[XXXXX1120]": 50915,
+  "[XXXXX1121]": 50835,
+  "[XXXXX1122]": 51056,
+  "[XXXXX1123]": 50172,
+  "[XXXXX1124]": 50972,
+  "[XXXXX1125]": 50275,
+  "[XXXXX1126]": 50430,
+  "[XXXXX1127]": 50743,
+  "[XXXXX1128]": 50551,
+  "[XXXXX1129]": 50439,
+  "[XXXXX112]": 50819,
+  "[XXXXX1130]": 50536,
+  "[XXXXX1131]": 50622,
+  "[XXXXX1132]": 50623,
+  "[XXXXX1133]": 50117,
+  "[XXXXX1134]": 50251,
+  "[XXXXX1135]": 50678,
+  "[XXXXX1136]": 50316,
+  "[XXXXX1137]": 50905,
+  "[XXXXX1138]": 50992,
+  "[XXXXX1139]": 50851,
+  "[XXXXX113]": 50443,
+  "[XXXXX1140]": 50499,
+  "[XXXXX1141]": 50629,
+  "[XXXXX1142]": 50944,
+  "[XXXXX1143]": 50373,
+  "[XXXXX1144]": 50123,
+  "[XXXXX1145]": 50173,
+  "[XXXXX1146]": 50891,
+  "[XXXXX1147]": 50471,
+  "[XXXXX1148]": 50560,
+  "[XXXXX1149]": 50541,
+  "[XXXXX114]": 50631,
+  "[XXXXX1150]": 50033,
+  "[XXXXX1151]": 50063,
+  "[XXXXX1152]": 50767,
+  "[XXXXX1153]": 50897,
+  "[XXXXX1154]": 50568,
+  "[XXXXX1155]": 51131,
+  "[XXXXX1156]": 50009,
+  "[XXXXX1157]": 50417,
+  "[XXXXX1158]": 50477,
+  "[XXXXX1159]": 50941,
+  "[XXXXX115]": 50294,
+  "[XXXXX1160]": 50679,
+  "[XXXXX1161]": 51108,
+  "[XXXXX1162]": 50332,
+  "[XXXXX1163]": 50424,
+  "[XXXXX1164]": 50473,
+  "[XXXXX1165]": 50793,
+  "[XXXXX1166]": 50453,
+  "[XXXXX1167]": 50807,
+  "[XXXXX1168]": 50128,
+  "[XXXXX1169]": 50039,
+  "[XXXXX116]": 50759,
+  "[XXXXX1170]": 50735,
+  "[XXXXX1171]": 50366,
+  "[XXXXX1172]": 50808,
+  "[XXXXX1173]": 50426,
+  "[XXXXX1174]": 50076,
+  "[XXXXX1175]": 50943,
+  "[XXXXX1176]": 50252,
+  "[XXXXX1177]": 50999,
+  "[XXXXX1178]": 50264,
+  "[XXXXX1179]": 50607,
+  "[XXXXX117]": 51036,
+  "[XXXXX1180]": 50986,
+  "[XXXXX1181]": 50744,
+  "[XXXXX1182]": 50186,
+  "[XXXXX1183]": 50555,
+  "[XXXXX1184]": 51076,
+  "[XXXXX1185]": 50849,
+  "[XXXXX1186]": 51128,
+  "[XXXXX1187]": 50858,
+  "[XXXXX1188]": 50656,
+  "[XXXXX1189]": 50064,
+  "[XXXXX118]": 50081,
+  "[XXXXX1190]": 51197,
+  "[XXXXX1191]": 50104,
+  "[XXXXX1192]": 50045,
+  "[XXXXX1193]": 50404,
+  "[XXXXX1194]": 50690,
+  "[XXXXX1195]": 50495,
+  "[XXXXX119]": 50108,
+  "[XXXXX11]": 50976,
+  "[XXXXX120]": 51081,
+  "[XXXXX121]": 50464,
+  "[XXXXX122]": 50829,
+  "[XXXXX123]": 50766,
+  "[XXXXX124]": 50732,
+  "[XXXXX125]": 50221,
+  "[XXXXX126]": 50810,
+  "[XXXXX127]": 50130,
+  "[XXXXX128]": 50751,
+  "[XXXXX129]": 50662,
+  "[XXXXX12]": 50602,
+  "[XXXXX130]": 50035,
+  "[XXXXX131]": 50715,
+  "[XXXXX132]": 50340,
+  "[XXXXX133]": 50563,
+  "[XXXXX134]": 50993,
+  "[XXXXX135]": 50304,
+  "[XXXXX136]": 50131,
+  "[XXXXX137]": 50578,
+  "[XXXXX138]": 50757,
+  "[XXXXX139]": 50582,
+  "[XXXXX13]": 50105,
+  "[XXXXX140]": 50085,
+  "[XXXXX141]": 50553,
+  "[XXXXX142]": 50749,
+  "[XXXXX143]": 50351,
+  "[XXXXX144]": 51024,
+  "[XXXXX145]": 51144,
+  "[XXXXX146]": 50042,
+  "[XXXXX147]": 50145,
+  "[XXXXX148]": 50066,
+  "[XXXXX149]": 50876,
+  "[XXXXX14]": 51006,
+  "[XXXXX150]": 50280,
+  "[XXXXX151]": 50093,
+  "[XXXXX152]": 50638,
+  "[XXXXX153]": 50684,
+  "[XXXXX154]": 50820,
+  "[XXXXX155]": 51196,
+  "[XXXXX156]": 50317,
+  "[XXXXX157]": 50284,
+  "[XXXXX158]": 50288,
+  "[XXXXX159]": 50814,
+  "[XXXXX15]": 50608,
+  "[XXXXX160]": 50004,
+  "[XXXXX161]": 50008,
+  "[XXXXX162]": 50377,
+  "[XXXXX163]": 50214,
+  "[XXXXX164]": 50708,
+  "[XXXXX165]": 50390,
+  "[XXXXX166]": 50741,
+  "[XXXXX167]": 50445,
+  "[XXXXX168]": 50936,
+  "[XXXXX169]": 50896,
+  "[XXXXX16]": 50442,
+  "[XXXXX170]": 50109,
+  "[XXXXX171]": 50140,
+  "[XXXXX172]": 50427,
+  "[XXXXX173]": 51074,
+  "[XXXXX174]": 50162,
+  "[XXXXX175]": 51015,
+  "[XXXXX176]": 50524,
+  "[XXXXX177]": 50673,
+  "[XXXXX178]": 50054,
+  "[XXXXX179]": 50805,
+  "[XXXXX17]": 50482,
+  "[XXXXX180]": 50253,
+  "[XXXXX181]": 50493,
+  "[XXXXX182]": 50421,
+  "[XXXXX183]": 51050,
+  "[XXXXX184]": 50521,
+  "[XXXXX185]": 50188,
+  "[XXXXX186]": 50147,
+  "[XXXXX187]": 50201,
+  "[XXXXX188]": 50973,
+  "[XXXXX189]": 50409,
+  "[XXXXX18]": 50115,
+  "[XXXXX190]": 50051,
+  "[XXXXX191]": 51020,
+  "[XXXXX192]": 51047,
+  "[XXXXX193]": 50669,
+  "[XXXXX194]": 50643,
+  "[XXXXX195]": 50159,
+  "[XXXXX196]": 50649,
+  "[XXXXX197]": 51178,
+  "[XXXXX198]": 50043,
+  "[XXXXX199]": 51147,
+  "[XXXXX19]": 51127,
+  "[XXXXX1]": 51114,
+  "[XXXXX200]": 50840,
+  "[XXXXX201]": 50365,
+  "[XXXXX202]": 50232,
+  "[XXXXX203]": 50241,
+  "[XXXXX204]": 50548,
+  "[XXXXX205]": 50781,
+  "[XXXXX206]": 50923,
+  "[XXXXX207]": 51115,
+  "[XXXXX208]": 50344,
+  "[XXXXX209]": 50299,
+  "[XXXXX20]": 51031,
+  "[XXXXX210]": 51179,
+  "[XXXXX211]": 51163,
+  "[XXXXX212]": 50562,
+  "[XXXXX213]": 50094,
+  "[XXXXX214]": 50257,
+  "[XXXXX215]": 50967,
+  "[XXXXX216]": 50523,
+  "[XXXXX217]": 51132,
+  "[XXXXX218]": 51146,
+  "[XXXXX219]": 50411,
+  "[XXXXX21]": 50354,
+  "[XXXXX220]": 50853,
+  "[XXXXX221]": 50886,
+  "[XXXXX222]": 50600,
+  "[XXXXX223]": 50873,
+  "[XXXXX224]": 50416,
+  "[XXXXX225]": 50675,
+  "[XXXXX226]": 50583,
+  "[XXXXX227]": 50151,
+  "[XXXXX228]": 50927,
+  "[XXXXX229]": 50609,
+  "[XXXXX22]": 50589,
+  "[XXXXX230]": 50238,
+  "[XXXXX231]": 50242,
+  "[XXXXX232]": 51016,
+  "[XXXXX233]": 50406,
+  "[XXXXX234]": 50908,
+  "[XXXXX235]": 50024,
+  "[XXXXX236]": 50270,
+  "[XXXXX237]": 50132,
+  "[XXXXX238]": 50800,
+  "[XXXXX239]": 50236,
+  "[XXXXX23]": 50007,
+  "[XXXXX240]": 50005,
+  "[XXXXX241]": 50894,
+  "[XXXXX242]": 50694,
+  "[XXXXX243]": 51071,
+  "[XXXXX244]": 51017,
+  "[XXXXX245]": 50068,
+  "[XXXXX246]": 50682,
+  "[XXXXX247]": 50913,
+  "[XXXXX248]": 51028,
+  "[XXXXX249]": 50037,
+  "[XXXXX24]": 51169,
+  "[XXXXX250]": 50747,
+  "[XXXXX251]": 50947,
+  "[XXXXX252]": 50329,
+  "[XXXXX253]": 50612,
+  "[XXXXX254]": 50110,
+  "[XXXXX255]": 50824,
+  "[XXXXX256]": 50558,
+  "[XXXXX257]": 50969,
+  "[XXXXX258]": 50729,
+  "[XXXXX259]": 50125,
+  "[XXXXX25]": 51160,
+  "[XXXXX260]": 50040,
+  "[XXXXX261]": 51038,
+  "[XXXXX262]": 50347,
+  "[XXXXX263]": 50740,
+  "[XXXXX264]": 51195,
+  "[XXXXX265]": 50879,
+  "[XXXXX266]": 50770,
+  "[XXXXX267]": 50178,
+  "[XXXXX268]": 50804,
+  "[XXXXX269]": 50906,
+  "[XXXXX26]": 50150,
+  "[XXXXX270]": 51191,
+  "[XXXXX271]": 50047,
+  "[XXXXX272]": 50195,
+  "[XXXXX273]": 50554,
+  "[XXXXX274]": 50833,
+  "[XXXXX275]": 50346,
+  "[XXXXX276]": 50950,
+  "[XXXXX277]": 50864,
+  "[XXXXX278]": 50259,
+  "[XXXXX279]": 50671,
+  "[XXXXX27]": 50468,
+  "[XXXXX280]": 50082,
+  "[XXXXX281]": 50565,
+  "[XXXXX282]": 50984,
+  "[XXXXX283]": 50650,
+  "[XXXXX284]": 50975,
+  "[XXXXX285]": 50603,
+  "[XXXXX286]": 50027,
+  "[XXXXX287]": 50181,
+  "[XXXXX288]": 50981,
+  "[XXXXX289]": 50885,
+  "[XXXXX28]": 50249,
+  "[XXXXX290]": 50522,
+  "[XXXXX291]": 50050,
+  "[XXXXX292]": 50313,
+  "[XXXXX293]": 50503,
+  "[XXXXX294]": 51176,
+  "[XXXXX295]": 51177,
+  "[XXXXX296]": 50379,
+  "[XXXXX297]": 50635,
+  "[XXXXX298]": 50723,
+  "[XXXXX299]": 50200,
+  "[XXXXX29]": 50892,
+  "[XXXXX2]": 51119,
+  "[XXXXX300]": 51026,
+  "[XXXXX301]": 50528,
+  "[XXXXX302]": 51149,
+  "[XXXXX303]": 50044,
+  "[XXXXX304]": 50209,
+  "[XXXXX305]": 50988,
+  "[XXXXX306]": 50518,
+  "[XXXXX307]": 50088,
+  "[XXXXX308]": 50733,
+  "[XXXXX309]": 51066,
+  "[XXXXX30]": 50506,
+  "[XXXXX310]": 50285,
+  "[XXXXX311]": 50859,
+  "[XXXXX312]": 50263,
+  "[XXXXX313]": 50594,
+  "[XXXXX314]": 51103,
+  "[XXXXX315]": 50871,
+  "[XXXXX316]": 50300,
+  "[XXXXX317]": 50760,
+  "[XXXXX318]": 50055,
+  "[XXXXX319]": 50389,
+  "[XXXXX31]": 50212,
+  "[XXXXX320]": 50444,
+  "[XXXXX321]": 50994,
+  "[XXXXX322]": 50281,
+  "[XXXXX323]": 50179,
+  "[XXXXX324]": 50455,
+  "[XXXXX325]": 50970,
+  "[XXXXX326]": 50666,
+  "[XXXXX327]": 50604,
+  "[XXXXX328]": 50627,
+  "[XXXXX329]": 50475,
+  "[XXXXX32]": 50277,
+  "[XXXXX330]": 50667,
+  "[XXXXX331]": 50348,
+  "[XXXXX332]": 50772,
+  "[XXXXX333]": 50163,
+  "[XXXXX334]": 50569,
+  "[XXXXX335]": 50018,
+  "[XXXXX336]": 50883,
+  "[XXXXX337]": 50067,
+  "[XXXXX338]": 51184,
+  "[XXXXX339]": 50997,
+  "[XXXXX33]": 50403,
+  "[XXXXX340]": 51013,
+  "[XXXXX341]": 50957,
+  "[XXXXX342]": 51106,
+  "[XXXXX343]": 51174,
+  "[XXXXX344]": 50391,
+  "[XXXXX345]": 50948,
+  "[XXXXX346]": 50180,
+  "[XXXXX347]": 50811,
+  "[XXXXX348]": 50401,
+  "[XXXXX349]": 50911,
+  "[XXXXX34]": 50223,
+  "[XXXXX350]": 51089,
+  "[XXXXX351]": 50777,
+  "[XXXXX352]": 50189,
+  "[XXXXX353]": 50492,
+  "[XXXXX354]": 50205,
+  "[XXXXX355]": 50374,
+  "[XXXXX356]": 51152,
+  "[XXXXX357]": 50695,
+  "[XXXXX358]": 51117,
+  "[XXXXX359]": 50573,
+  "[XXXXX35]": 50752,
+  "[XXXXX360]": 50955,
+  "[XXXXX361]": 50349,
+  "[XXXXX362]": 51137,
+  "[XXXXX363]": 50641,
+  "[XXXXX364]": 51148,
+  "[XXXXX365]": 50255,
+  "[XXXXX366]": 50310,
+  "[XXXXX367]": 50314,
+  "[XXXXX368]": 50971,
+  "[XXXXX369]": 50916,
+  "[XXXXX36]": 50437,
+  "[XXXXX370]": 51096,
+  "[XXXXX371]": 50557,
+  "[XXXXX372]": 51095,
+  "[XXXXX373]": 50382,
+  "[XXXXX374]": 50119,
+  "[XXXXX375]": 50958,
+  "[XXXXX376]": 50624,
+  "[XXXXX377]": 50483,
+  "[XXXXX378]": 50605,
+  "[XXXXX379]": 50017,
+  "[XXXXX37]": 50706,
+  "[XXXXX380]": 50246,
+  "[XXXXX381]": 50588,
+  "[XXXXX382]": 51008,
+  "[XXXXX383]": 50801,
+  "[XXXXX384]": 50290,
+  "[XXXXX385]": 50899,
+  "[XXXXX386]": 50206,
+  "[XXXXX387]": 50716,
+  "[XXXXX388]": 51082,
+  "[XXXXX389]": 50177,
+  "[XXXXX38]": 50736,
+  "[XXXXX390]": 50282,
+  "[XXXXX391]": 51183,
+  "[XXXXX392]": 50286,
+  "[XXXXX393]": 50659,
+  "[XXXXX394]": 50378,
+  "[XXXXX395]": 50709,
+  "[XXXXX396]": 50028,
+  "[XXXXX397]": 50235,
+  "[XXXXX398]": 51014,
+  "[XXXXX399]": 50880,
+  "[XXXXX39]": 50305,
+  "[XXXXX3]": 50077,
+  "[XXXXX400]": 50155,
+  "[XXXXX401]": 50710,
+  "[XXXXX402]": 50507,
+  "[XXXXX403]": 50860,
+  "[XXXXX404]": 50661,
+  "[XXXXX405]": 51083,
+  "[XXXXX406]": 50888,
+  "[XXXXX407]": 50069,
+  "[XXXXX408]": 50691,
+  "[XXXXX409]": 51055,
+  "[XXXXX40]": 50337,
+  "[XXXXX410]": 50137,
+  "[XXXXX411]": 50791,
+  "[XXXXX412]": 50136,
+  "[XXXXX413]": 50730,
+  "[XXXXX414]": 50267,
+  "[XXXXX415]": 50012,
+  "[XXXXX416]": 50681,
+  "[XXXXX417]": 50942,
+  "[XXXXX418]": 50720,
+  "[XXXXX419]": 50844,
+  "[XXXXX41]": 50387,
+  "[XXXXX420]": 50111,
+  "[XXXXX421]": 51003,
+  "[XXXXX422]": 50785,
+  "[XXXXX423]": 50149,
+  "[XXXXX424]": 50422,
+  "[XXXXX425]": 51086,
+  "[XXXXX426]": 50862,
+  "[XXXXX427]": 50576,
+  "[XXXXX428]": 51049,
+  "[XXXXX429]": 50630,
+  "[XXXXX42]": 50799,
+  "[XXXXX430]": 50289,
+  "[XXXXX431]": 50184,
+  "[XXXXX432]": 50319,
+  "[XXXXX433]": 51116,
+  "[XXXXX434]": 50519,
+  "[XXXXX435]": 50496,
+  "[XXXXX436]": 50517,
+  "[XXXXX437]": 50865,
+  "[XXXXX438]": 50737,
+  "[XXXXX439]": 50356,
+  "[XXXXX43]": 50359,
+  "[XXXXX440]": 50898,
+  "[XXXXX441]": 50113,
+  "[XXXXX442]": 50527,
+  "[XXXXX443]": 50762,
+  "[XXXXX444]": 50540,
+  "[XXXXX445]": 50925,
+  "[XXXXX446]": 50711,
+  "[XXXXX447]": 50143,
+  "[XXXXX448]": 51170,
+  "[XXXXX449]": 50413,
+  "[XXXXX44]": 50097,
+  "[XXXXX450]": 50375,
+  "[XXXXX451]": 50846,
+  "[XXXXX452]": 50217,
+  "[XXXXX453]": 50699,
+  "[XXXXX454]": 50412,
+  "[XXXXX455]": 50418,
+  "[XXXXX456]": 51143,
+  "[XXXXX457]": 51141,
+  "[XXXXX458]": 51157,
+  "[XXXXX459]": 50825,
+  "[XXXXX45]": 50203,
+  "[XXXXX460]": 50194,
+  "[XXXXX461]": 50148,
+  "[XXXXX462]": 50276,
+  "[XXXXX463]": 50271,
+  "[XXXXX464]": 50836,
+  "[XXXXX465]": 50854,
+  "[XXXXX466]": 50164,
+  "[XXXXX467]": 50484,
+  "[XXXXX468]": 51097,
+  "[XXXXX469]": 50182,
+  "[XXXXX46]": 50505,
+  "[XXXXX470]": 50670,
+  "[XXXXX471]": 50595,
+  "[XXXXX472]": 50237,
+  "[XXXXX473]": 50057,
+  "[XXXXX474]": 50431,
+  "[XXXXX475]": 50738,
+  "[XXXXX476]": 51145,
+  "[XXXXX477]": 50247,
+  "[XXXXX478]": 50029,
+  "[XXXXX479]": 50917,
+  "[XXXXX47]": 50579,
+  "[XXXXX480]": 50702,
+  "[XXXXX481]": 50831,
+  "[XXXXX482]": 50753,
+  "[XXXXX483]": 50598,
+  "[XXXXX484]": 51136,
+  "[XXXXX485]": 50092,
+  "[XXXXX486]": 50202,
+  "[XXXXX487]": 50106,
+  "[XXXXX488]": 50924,
+  "[XXXXX489]": 51113,
+  "[XXXXX48]": 50842,
+  "[XXXXX490]": 50761,
+  "[XXXXX491]": 50577,
+  "[XXXXX492]": 50692,
+  "[XXXXX493]": 51130,
+  "[XXXXX494]": 50932,
+  "[XXXXX495]": 50837,
+  "[XXXXX496]": 50893,
+  "[XXXXX497]": 50773,
+  "[XXXXX498]": 50360,
+  "[XXXXX499]": 50900,
+  "[XXXXX49]": 51062,
+  "[XXXXX4]": 50396,
+  "[XXXXX500]": 51034,
+  "[XXXXX501]": 50472,
+  "[XXXXX502]": 50660,
+  "[XXXXX503]": 50815,
+  "[XXXXX504]": 50939,
+  "[XXXXX505]": 50419,
+  "[XXXXX506]": 50324,
+  "[XXXXX507]": 50428,
+  "[XXXXX508]": 50274,
+  "[XXXXX509]": 50311,
+  "[XXXXX50]": 50459,
+  "[XXXXX510]": 50674,
+  "[XXXXX511]": 50580,
+  "[XXXXX512]": 50956,
+  "[XXXXX513]": 50165,
+  "[XXXXX514]": 50320,
+  "[XXXXX515]": 50648,
+  "[XXXXX516]": 50386,
+  "[XXXXX517]": 50058,
+  "[XXXXX518]": 51045,
+  "[XXXXX519]": 50103,
+  "[XXXXX51]": 50979,
+  "[XXXXX520]": 50530,
+  "[XXXXX521]": 50907,
+  "[XXXXX522]": 50260,
+  "[XXXXX523]": 50632,
+  "[XXXXX524]": 50926,
+  "[XXXXX525]": 50687,
+  "[XXXXX526]": 50160,
+  "[XXXXX527]": 51053,
+  "[XXXXX528]": 50652,
+  "[XXXXX529]": 51041,
+  "[XXXXX52]": 50272,
+  "[XXXXX530]": 51111,
+  "[XXXXX531]": 51009,
+  "[XXXXX532]": 51079,
+  "[XXXXX533]": 50487,
+  "[XXXXX534]": 51059,
+  "[XXXXX535]": 50335,
+  "[XXXXX536]": 50380,
+  "[XXXXX537]": 50301,
+  "[XXXXX538]": 51067,
+  "[XXXXX539]": 51052,
+  "[XXXXX53]": 51048,
+  "[XXXXX540]": 50822,
+  "[XXXXX541]": 51040,
+  "[XXXXX542]": 50490,
+  "[XXXXX543]": 50448,
+  "[XXXXX544]": 50812,
+  "[XXXXX545]": 50099,
+  "[XXXXX546]": 51199,
+  "[XXXXX547]": 50226,
+  "[XXXXX548]": 50538,
+  "[XXXXX549]": 50342,
+  "[XXXXX54]": 50701,
+  "[XXXXX550]": 50544,
+  "[XXXXX551]": 50398,
+  "[XXXXX552]": 51102,
+  "[XXXXX553]": 50919,
+  "[XXXXX554]": 50615,
+  "[XXXXX555]": 50769,
+  "[XXXXX556]": 50940,
+  "[XXXXX557]": 50070,
+  "[XXXXX558]": 50680,
+  "[XXXXX559]": 50611,
+  "[XXXXX55]": 50574,
+  "[XXXXX560]": 50381,
+  "[XXXXX561]": 50350,
+  "[XXXXX562]": 50175,
+  "[XXXXX563]": 50584,
+  "[XXXXX564]": 50703,
+  "[XXXXX565]": 50989,
+  "[XXXXX566]": 50877,
+  "[XXXXX567]": 51039,
+  "[XXXXX568]": 51018,
+  "[XXXXX569]": 50452,
+  "[XXXXX56]": 51099,
+  "[XXXXX570]": 50161,
+  "[XXXXX571]": 50921,
+  "[XXXXX572]": 50676,
+  "[XXXXX573]": 50326,
+  "[XXXXX574]": 50987,
+  "[XXXXX575]": 50361,
+  "[XXXXX576]": 50071,
+  "[XXXXX577]": 50803,
+  "[XXXXX578]": 50400,
+  "[XXXXX579]": 51091,
+  "[XXXXX57]": 50501,
+  "[XXXXX580]": 50887,
+  "[XXXXX581]": 50839,
+  "[XXXXX582]": 51138,
+  "[XXXXX583]": 50816,
+  "[XXXXX584]": 50339,
+  "[XXXXX585]": 50463,
+  "[XXXXX586]": 50399,
+  "[XXXXX587]": 51070,
+  "[XXXXX588]": 50457,
+  "[XXXXX589]": 50828,
+  "[XXXXX58]": 50183,
+  "[XXXXX590]": 50080,
+  "[XXXXX591]": 50550,
+  "[XXXXX592]": 50129,
+  "[XXXXX593]": 50273,
+  "[XXXXX594]": 50388,
+  "[XXXXX595]": 50491,
+  "[XXXXX596]": 50278,
+  "[XXXXX597]": 50011,
+  "[XXXXX598]": 50254,
+  "[XXXXX599]": 50302,
+  "[XXXXX59]": 50353,
+  "[XXXXX5]": 50010,
+  "[XXXXX600]": 50704,
+  "[XXXXX601]": 51118,
+  "[XXXXX602]": 50049,
+  "[XXXXX603]": 51190,
+  "[XXXXX604]": 51142,
+  "[XXXXX605]": 50707,
+  "[XXXXX606]": 50937,
+  "[XXXXX607]": 50875,
+  "[XXXXX608]": 50564,
+  "[XXXXX609]": 50345,
+  "[XXXXX60]": 50713,
+  "[XXXXX610]": 50949,
+  "[XXXXX611]": 50978,
+  "[XXXXX612]": 50330,
+  "[XXXXX613]": 51035,
+  "[XXXXX614]": 50402,
+  "[XXXXX615]": 50176,
+  "[XXXXX616]": 51133,
+  "[XXXXX617]": 50222,
+  "[XXXXX618]": 50118,
+  "[XXXXX619]": 50196,
+  "[XXXXX61]": 50298,
+  "[XXXXX620]": 50668,
+  "[XXXXX621]": 50462,
+  "[XXXXX622]": 50218,
+  "[XXXXX623]": 51101,
+  "[XXXXX624]": 50362,
+  "[XXXXX625]": 50779,
+  "[XXXXX626]": 50513,
+  "[XXXXX627]": 50746,
+  "[XXXXX628]": 50141,
+  "[XXXXX629]": 50479,
+  "[XXXXX62]": 50056,
+  "[XXXXX630]": 51180,
+  "[XXXXX631]": 50872,
+  "[XXXXX632]": 50315,
+  "[XXXXX633]": 50397,
+  "[XXXXX634]": 51165,
+  "[XXXXX635]": 50046,
+  "[XXXXX636]": 50795,
+  "[XXXXX637]": 50959,
+  "[XXXXX638]": 50786,
+  "[XXXXX639]": 50240,
+  "[XXXXX63]": 51061,
+  "[XXXXX640]": 50601,
+  "[XXXXX641]": 50904,
+  "[XXXXX642]": 50376,
+  "[XXXXX643]": 50663,
+  "[XXXXX644]": 50613,
+  "[XXXXX645]": 50467,
+  "[XXXXX646]": 50546,
+  "[XXXXX647]": 50465,
+  "[XXXXX648]": 50395,
+  "[XXXXX649]": 50287,
+  "[XXXXX64]": 51162,
+  "[XXXXX650]": 50474,
+  "[XXXXX651]": 50727,
+  "[XXXXX652]": 50243,
+  "[XXXXX653]": 51100,
+  "[XXXXX654]": 50705,
+  "[XXXXX655]": 51012,
+  "[XXXXX656]": 50447,
+  "[XXXXX657]": 50719,
+  "[XXXXX658]": 50712,
+  "[XXXXX659]": 50476,
+  "[XXXXX65]": 50587,
+  "[XXXXX660]": 51054,
+  "[XXXXX661]": 51166,
+  "[XXXXX662]": 50494,
+  "[XXXXX663]": 50230,
+  "[XXXXX664]": 50621,
+  "[XXXXX665]": 50809,
+  "[XXXXX666]": 50265,
+  "[XXXXX667]": 50645,
+  "[XXXXX668]": 50817,
+  "[XXXXX669]": 50030,
+  "[XXXXX66]": 51029,
+  "[XXXXX670]": 51004,
+  "[XXXXX671]": 50685,
+  "[XXXXX672]": 50625,
+  "[XXXXX673]": 50890,
+  "[XXXXX674]": 50383,
+  "[XXXXX675]": 50929,
+  "[XXXXX676]": 50116,
+  "[XXXXX677]": 51072,
+  "[XXXXX678]": 51126,
+  "[XXXXX679]": 50755,
+  "[XXXXX67]": 50717,
+  "[XXXXX680]": 50303,
+  "[XXXXX681]": 50504,
+  "[XXXXX682]": 51075,
+  "[XXXXX683]": 50261,
+  "[XXXXX684]": 50861,
+  "[XXXXX685]": 50306,
+  "[XXXXX686]": 50016,
+  "[XXXXX687]": 50101,
+  "[XXXXX688]": 51098,
+  "[XXXXX689]": 50827,
+  "[XXXXX68]": 50863,
+  "[XXXXX690]": 50640,
+  "[XXXXX691]": 50031,
+  "[XXXXX692]": 50768,
+  "[XXXXX693]": 50013,
+  "[XXXXX694]": 51032,
+  "[XXXXX695]": 50166,
+  "[XXXXX696]": 50127,
+  "[XXXXX697]": 50414,
+  "[XXXXX698]": 50742,
+  "[XXXXX699]": 51042,
+  "[XXXXX69]": 51112,
+  "[XXXXX6]": 50593,
+  "[XXXXX700]": 50292,
+  "[XXXXX701]": 50174,
+  "[XXXXX702]": 50547,
+  "[XXXXX703]": 50498,
+  "[XXXXX704]": 51078,
+  "[XXXXX705]": 50133,
+  "[XXXXX706]": 50041,
+  "[XXXXX707]": 51181,
+  "[XXXXX708]": 50585,
+  "[XXXXX709]": 50776,
+  "[XXXXX70]": 50053,
+  "[XXXXX710]": 50336,
+  "[XXXXX711]": 50765,
+  "[XXXXX712]": 50224,
+  "[XXXXX713]": 50599,
+  "[XXXXX714]": 50207,
+  "[XXXXX715]": 51043,
+  "[XXXXX716]": 51090,
+  "[XXXXX717]": 50006,
+  "[XXXXX718]": 50901,
+  "[XXXXX719]": 51001,
+  "[XXXXX71]": 50954,
+  "[XXXXX720]": 50646,
+  "[XXXXX721]": 50075,
+  "[XXXXX722]": 51120,
+  "[XXXXX723]": 50215,
+  "[XXXXX724]": 50415,
+  "[XXXXX725]": 50154,
+  "[XXXXX726]": 50935,
+  "[XXXXX727]": 50545,
+  "[XXXXX728]": 51085,
+  "[XXXXX729]": 50256,
+  "[XXXXX72]": 50363,
+  "[XXXXX730]": 50700,
+  "[XXXXX731]": 50262,
+  "[XXXXX732]": 50930,
+  "[XXXXX733]": 50333,
+  "[XXXXX734]": 50884,
+  "[XXXXX735]": 51030,
+  "[XXXXX736]": 50231,
+  "[XXXXX737]": 50405,
+  "[XXXXX738]": 50962,
+  "[XXXXX739]": 50458,
+  "[XXXXX73]": 50019,
+  "[XXXXX740]": 50878,
+  "[XXXXX741]": 50910,
+  "[XXXXX742]": 50170,
+  "[XXXXX743]": 50718,
+  "[XXXXX744]": 50616,
+  "[XXXXX745]": 50358,
+  "[XXXXX746]": 50152,
+  "[XXXXX747]": 50525,
+  "[XXXXX748]": 51167,
+  "[XXXXX749]": 50653,
+  "[XXXXX74]": 50952,
+  "[XXXXX750]": 50500,
+  "[XXXXX751]": 50446,
+  "[XXXXX752]": 50995,
+  "[XXXXX753]": 50945,
+  "[XXXXX754]": 51173,
+  "[XXXXX755]": 50823,
+  "[XXXXX756]": 51060,
+  "[XXXXX757]": 50748,
+  "[XXXXX758]": 50020,
+  "[XXXXX759]": 50197,
+  "[XXXXX75]": 50502,
+  "[XXXXX760]": 50291,
+  "[XXXXX761]": 50821,
+  "[XXXXX762]": 50190,
+  "[XXXXX763]": 50745,
+  "[XXXXX764]": 50778,
+  "[XXXXX765]": 50556,
+  "[XXXXX766]": 51161,
+  "[XXXXX767]": 50466,
+  "[XXXXX768]": 50792,
+  "[XXXXX769]": 50208,
+  "[XXXXX76]": 50169,
+  "[XXXXX770]": 50647,
+  "[XXXXX771]": 50610,
+  "[XXXXX772]": 51140,
+  "[XXXXX773]": 50441,
+  "[XXXXX774]": 50870,
+  "[XXXXX775]": 50368,
+  "[XXXXX776]": 50026,
+  "[XXXXX777]": 50677,
+  "[XXXXX778]": 51168,
+  "[XXXXX779]": 50481,
+  "[XXXXX77]": 50515,
+  "[XXXXX780]": 50225,
+  "[XXXXX781]": 50408,
+  "[XXXXX782]": 50090,
+  "[XXXXX783]": 50951,
+  "[XXXXX784]": 50015,
+  "[XXXXX785]": 50658,
+  "[XXXXX786]": 50617,
+  "[XXXXX787]": 50721,
+  "[XXXXX788]": 51084,
+  "[XXXXX789]": 50830,
+  "[XXXXX78]": 50100,
+  "[XXXXX790]": 50606,
+  "[XXXXX791]": 50124,
+  "[XXXXX792]": 50078,
+  "[XXXXX793]": 51188,
+  "[XXXXX794]": 50750,
+  "[XXXXX795]": 50138,
+  "[XXXXX796]": 50239,
+  "[XXXXX797]": 50385,
+  "[XXXXX798]": 50780,
+  "[XXXXX799]": 50683,
+  "[XXXXX79]": 50436,
+  "[XXXXX7]": 50211,
+  "[XXXXX800]": 51185,
+  "[XXXXX801]": 50250,
+  "[XXXXX802]": 50456,
+  "[XXXXX803]": 50508,
+  "[XXXXX804]": 51194,
+  "[XXXXX805]": 50021,
+  "[XXXXX806]": 50307,
+  "[XXXXX807]": 50199,
+  "[XXXXX808]": 51129,
+  "[XXXXX809]": 50686,
+  "[XXXXX80]": 50370,
+  "[XXXXX810]": 50343,
+  "[XXXXX811]": 50614,
+  "[XXXXX812]": 50636,
+  "[XXXXX813]": 51198,
+  "[XXXXX814]": 50788,
+  "[XXXXX815]": 50120,
+  "[XXXXX816]": 50135,
+  "[XXXXX817]": 50293,
+  "[XXXXX818]": 50153,
+  "[XXXXX819]": 50516,
+  "[XXXXX81]": 50581,
+  "[XXXXX820]": 50586,
+  "[XXXXX821]": 50509,
+  "[XXXXX822]": 50220,
+  "[XXXXX823]": 51068,
+  "[XXXXX824]": 50946,
+  "[XXXXX825]": 50965,
+  "[XXXXX826]": 50032,
+  "[XXXXX827]": 50156,
+  "[XXXXX828]": 50449,
+  "[XXXXX829]": 50531,
+  "[XXXXX82]": 51164,
+  "[XXXXX830]": 50486,
+  "[XXXXX831]": 50357,
+  "[XXXXX832]": 51022,
+  "[XXXXX833]": 50633,
+  "[XXXXX834]": 50754,
+  "[XXXXX835]": 51134,
+  "[XXXXX836]": 50193,
+  "[XXXXX837]": 51088,
+  "[XXXXX838]": 50722,
+  "[XXXXX839]": 50756,
+  "[XXXXX83]": 50977,
+  "[XXXXX840]": 50022,
+  "[XXXXX841]": 51186,
+  "[XXXXX842]": 50575,
+  "[XXXXX843]": 50079,
+  "[XXXXX844]": 50644,
+  "[XXXXX845]": 51033,
+  "[XXXXX846]": 50454,
+  "[XXXXX847]": 50095,
+  "[XXXXX848]": 50902,
+  "[XXXXX849]": 50597,
+  "[XXXXX84]": 50167,
+  "[XXXXX850]": 51051,
+  "[XXXXX851]": 50696,
+  "[XXXXX852]": 50966,
+  "[XXXXX853]": 50034,
+  "[XXXXX854]": 50889,
+  "[XXXXX855]": 50843,
+  "[XXXXX856]": 50963,
+  "[XXXXX857]": 50227,
+  "[XXXXX858]": 51058,
+  "[XXXXX859]": 50850,
+  "[XXXXX85]": 50192,
+  "[XXXXX860]": 50228,
+  "[XXXXX861]": 50570,
+  "[XXXXX862]": 50488,
+  "[XXXXX863]": 50539,
+  "[XXXXX864]": 51182,
+  "[XXXXX865]": 50990,
+  "[XXXXX866]": 50542,
+  "[XXXXX867]": 51069,
+  "[XXXXX868]": 50480,
+  "[XXXXX869]": 50847,
+  "[XXXXX86]": 50874,
+  "[XXXXX870]": 50308,
+  "[XXXXX871]": 50510,
+  "[XXXXX872]": 50423,
+  "[XXXXX873]": 50086,
+  "[XXXXX874]": 50591,
+  "[XXXXX875]": 50728,
+  "[XXXXX876]": 50372,
+  "[XXXXX877]": 50903,
+  "[XXXXX878]": 50868,
+  "[XXXXX879]": 50763,
+  "[XXXXX87]": 50571,
+  "[XXXXX880]": 50096,
+  "[XXXXX881]": 51150,
+  "[XXXXX882]": 50460,
+  "[XXXXX883]": 51087,
+  "[XXXXX884]": 51093,
+  "[XXXXX885]": 50295,
+  "[XXXXX886]": 51037,
+  "[XXXXX887]": 51171,
+  "[XXXXX888]": 50794,
+  "[XXXXX889]": 50628,
+  "[XXXXX88]": 50520,
+  "[XXXXX890]": 51172,
+  "[XXXXX891]": 51046,
+  "[XXXXX892]": 50918,
+  "[XXXXX893]": 50998,
+  "[XXXXX894]": 50371,
+  "[XXXXX895]": 51155,
+  "[XXXXX896]": 50866,
+  "[XXXXX897]": 50229,
+  "[XXXXX898]": 51057,
+  "[XXXXX899]": 50867,
+  "[XXXXX89]": 50537,
+  "[XXXXX8]": 50784,
+  "[XXXXX900]": 50739,
+  "[XXXXX901]": 51080,
+  "[XXXXX902]": 50038,
+  "[XXXXX903]": 50321,
+  "[XXXXX904]": 50774,
+  "[XXXXX905]": 50974,
+  "[XXXXX906]": 50920,
+  "[XXXXX907]": 50469,
+  "[XXXXX908]": 51122,
+  "[XXXXX909]": 51092,
+  "[XXXXX90]": 50514,
+  "[XXXXX910]": 50798,
+  "[XXXXX911]": 50245,
+  "[XXXXX912]": 50367,
+  "[XXXXX913]": 50618,
+  "[XXXXX914]": 50072,
+  "[XXXXX915]": 50450,
+  "[XXXXX916]": 51189,
+  "[XXXXX917]": 50485,
+  "[XXXXX918]": 50283,
+  "[XXXXX919]": 50845,
+  "[XXXXX91]": 50968,
+  "[XXXXX920]": 50429,
+  "[XXXXX921]": 50364,
+  "[XXXXX922]": 50782,
+  "[XXXXX923]": 50534,
+  "[XXXXX924]": 50059,
+  "[XXXXX925]": 50102,
+  "[XXXXX926]": 50185,
+  "[XXXXX927]": 50634,
+  "[XXXXX928]": 50567,
+  "[XXXXX929]": 50895,
+  "[XXXXX92]": 50210,
+  "[XXXXX930]": 50561,
+  "[XXXXX931]": 51021,
+  "[XXXXX932]": 50107,
+  "[XXXXX933]": 50407,
+  "[XXXXX934]": 50654,
+  "[XXXXX935]": 50268,
+  "[XXXXX936]": 51153,
+  "[XXXXX937]": 50552,
+  "[XXXXX938]": 50526,
+  "[XXXXX939]": 50322,
+  "[XXXXX93]": 50912,
+  "[XXXXX940]": 50296,
+  "[XXXXX941]": 50572,
+  "[XXXXX942]": 50393,
+  "[XXXXX943]": 50312,
+  "[XXXXX944]": 50592,
+  "[XXXXX945]": 50982,
+  "[XXXXX946]": 50089,
+  "[XXXXX947]": 50331,
+  "[XXXXX948]": 50279,
+  "[XXXXX949]": 51005,
+  "[XXXXX94]": 50198,
+  "[XXXXX950]": 50114,
+  "[XXXXX951]": 50074,
+  "[XXXXX952]": 50248,
+  "[XXXXX953]": 50857,
+  "[XXXXX954]": 50841,
+  "[XXXXX955]": 51065,
+  "[XXXXX956]": 50234,
+  "[XXXXX957]": 50834,
+  "[XXXXX958]": 50535,
+  "[XXXXX959]": 51109,
+  "[XXXXX95]": 50651,
+  "[XXXXX960]": 50797,
+  "[XXXXX961]": 50914,
+  "[XXXXX962]": 50112,
+  "[XXXXX963]": 50073,
+  "[XXXXX964]": 50559,
+  "[XXXXX965]": 50933,
+  "[XXXXX966]": 50619,
+  "[XXXXX967]": 51187,
+  "[XXXXX968]": 50327,
+  "[XXXXX969]": 50698,
+  "[XXXXX96]": 50420,
+  "[XXXXX970]": 50060,
+  "[XXXXX971]": 50432,
+  "[XXXXX972]": 50620,
+  "[XXXXX973]": 50693,
+  "[XXXXX974]": 50938,
+  "[XXXXX975]": 50983,
+  "[XXXXX976]": 50334,
+  "[XXXXX977]": 50438,
+  "[XXXXX978]": 51154,
+  "[XXXXX979]": 50964,
+  "[XXXXX97]": 50672,
+  "[XXXXX980]": 50511,
+  "[XXXXX981]": 50244,
+  "[XXXXX982]": 50266,
+  "[XXXXX983]": 50134,
+  "[XXXXX984]": 50338,
+  "[XXXXX985]": 51121,
+  "[XXXXX986]": 50323,
+  "[XXXXX987]": 50909,
+  "[XXXXX988]": 51000,
+  "[XXXXX989]": 50036,
+  "[XXXXX98]": 50787,
+  "[XXXXX990]": 50512,
+  "[XXXXX991]": 50191,
+  "[XXXXX992]": 50187,
+  "[XXXXX993]": 51156,
+  "[XXXXX994]": 51135,
+  "[XXXXX995]": 50355,
+  "[XXXXX996]": 51027,
+  "[XXXXX997]": 50297,
+  "[XXXXX998]": 50928,
+  "[XXXXX999]": 50697,
+  "[XXXXX99]": 50980,
+  "[XXXXX9]": 50961
+}
diff --git a/checkpoint-12000/config.json b/checkpoint-12000/config.json
new file mode 100644
index 0000000..000c292
--- /dev/null
+++ b/checkpoint-12000/config.json
@@ -0,0 +1,34 @@
+{
+  "activation_function": "gelu",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50000,
+  "dtype": "bfloat16",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50001,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 512,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": 3072,
+  "n_layer": 12,
+  "n_positions": 512,
+  "pad_token_id": 50002,
+  "prefix": "[CLS]",
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "vocab_size": 51200
+}
diff --git a/checkpoint-12000/generation_config.json b/checkpoint-12000/generation_config.json
new file mode 100644
index 0000000..4c122f0
--- /dev/null
+++ b/checkpoint-12000/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50000,
+  "eos_token_id": [
+    50001
+  ],
+  "pad_token_id": 50002,
+  "transformers_version": "4.56.2"
+}
diff --git a/checkpoint-12000/model.safetensors b/checkpoint-12000/model.safetensors
new file mode 100644
index 0000000..d1f3760
--- /dev/null
+++ b/checkpoint-12000/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:93373e50bb2138ef2b704f3394239fba30dce203ed9c8d2b01d35db75389a40f
+size 249556672
diff --git a/checkpoint-12000/rng_state.pth b/checkpoint-12000/rng_state.pth
new file mode 100644
index 0000000..2e31d71
--- /dev/null
+++ b/checkpoint-12000/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6d5176a8f38f3ed3a8c75fb78c2baf04d083ab9fc186b0966e8c4f8e9960eaeb
+size 14645
diff --git a/checkpoint-12000/special_tokens_map.json b/checkpoint-12000/special_tokens_map.json
new file mode 100644
index 0000000..c78a835
--- /dev/null
+++ b/checkpoint-12000/special_tokens_map.json
@@ -0,0 +1,1249 @@
+{
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/checkpoint-12000/spiece.model b/checkpoint-12000/spiece.model
new file mode 100644
index 0000000..85d6e93
--- /dev/null
+++ b/checkpoint-12000/spiece.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:762a1e078899c6ba7ef62ef873a57b860c51cc0518791854659b58b4c89742fe
+size 1170764
diff --git a/checkpoint-12000/tokenizer_config.json b/checkpoint-12000/tokenizer_config.json
new file mode 100644
index 0000000..b27d01f
--- /dev/null
+++ b/checkpoint-12000/tokenizer_config.json
@@ -0,0 +1,10825 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50000": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50001": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50002": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50003": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50004": {
+      "content": "[XXXXX160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50005": {
+      "content": "[XXXXX240]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50006": {
+      "content": "[XXXXX717]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50007": {
+      "content": "[XXXXX23]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50008": {
+      "content": "[XXXXX161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50009": {
+      "content": "[XXXXX1156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50010": {
+      "content": "[XXXXX5]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50011": {
+      "content": "[XXXXX597]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50012": {
+      "content": "[XXXXX415]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50013": {
+      "content": "[XXXXX693]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50014": {
+      "content": "[XXXXX1083]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50015": {
+      "content": "[XXXXX784]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50016": {
+      "content": "[XXXXX686]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50017": {
+      "content": "[XXXXX379]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50018": {
+      "content": "[XXXXX335]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50019": {
+      "content": "[XXXXX73]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50020": {
+      "content": "[XXXXX758]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50021": {
+      "content": "[XXXXX805]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50022": {
+      "content": "[XXXXX840]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50023": {
+      "content": "[XXXXX1037]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50024": {
+      "content": "[XXXXX235]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50025": {
+      "content": "[XXXXX1107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50026": {
+      "content": "[XXXXX776]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50027": {
+      "content": "[XXXXX286]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50028": {
+      "content": "[XXXXX396]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50029": {
+      "content": "[XXXXX478]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50030": {
+      "content": "[XXXXX669]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50031": {
+      "content": "[XXXXX691]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50032": {
+      "content": "[XXXXX826]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50033": {
+      "content": "[XXXXX1150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50034": {
+      "content": "[XXXXX853]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50035": {
+      "content": "[XXXXX130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50036": {
+      "content": "[XXXXX989]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50037": {
+      "content": "[XXXXX249]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50038": {
+      "content": "[XXXXX902]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50039": {
+      "content": "[XXXXX1169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50040": {
+      "content": "[XXXXX260]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50041": {
+      "content": "[XXXXX706]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50042": {
+      "content": "[XXXXX146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50043": {
+      "content": "[XXXXX198]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50044": {
+      "content": "[XXXXX303]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50045": {
+      "content": "[XXXXX1192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50046": {
+      "content": "[XXXXX635]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50047": {
+      "content": "[XXXXX271]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50048": {
+      "content": "[XXXXX1023]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50049": {
+      "content": "[XXXXX602]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50050": {
+      "content": "[XXXXX291]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50051": {
+      "content": "[XXXXX190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50052": {
+      "content": "[XXXXX1055]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50053": {
+      "content": "[XXXXX70]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50054": {
+      "content": "[XXXXX178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50055": {
+      "content": "[XXXXX318]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50056": {
+      "content": "[XXXXX62]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50057": {
+      "content": "[XXXXX473]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50058": {
+      "content": "[XXXXX517]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50059": {
+      "content": "[XXXXX924]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50060": {
+      "content": "[XXXXX970]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50061": {
+      "content": "[XXXXX1033]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50062": {
+      "content": "[XXXXX110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50063": {
+      "content": "[XXXXX1151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50064": {
+      "content": "[XXXXX1189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50065": {
+      "content": "[XXXXX1095]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50066": {
+      "content": "[XXXXX148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50067": {
+      "content": "[XXXXX337]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50068": {
+      "content": "[XXXXX245]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50069": {
+      "content": "[XXXXX407]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50070": {
+      "content": "[XXXXX557]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50071": {
+      "content": "[XXXXX576]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50072": {
+      "content": "[XXXXX914]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50073": {
+      "content": "[XXXXX963]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50074": {
+      "content": "[XXXXX951]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50075": {
+      "content": "[XXXXX721]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50076": {
+      "content": "[XXXXX1174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50077": {
+      "content": "[XXXXX3]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50078": {
+      "content": "[XXXXX792]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50079": {
+      "content": "[XXXXX843]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50080": {
+      "content": "[XXXXX590]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50081": {
+      "content": "[XXXXX118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50082": {
+      "content": "[XXXXX280]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50083": {
+      "content": "[XXXXX1119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50084": {
+      "content": "[XXXXX1025]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50085": {
+      "content": "[XXXXX140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50086": {
+      "content": "[XXXXX873]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50087": {
+      "content": "[XXXXX103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50088": {
+      "content": "[XXXXX307]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50089": {
+      "content": "[XXXXX946]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50090": {
+      "content": "[XXXXX782]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50091": {
+      "content": "[XXXXX100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50092": {
+      "content": "[XXXXX485]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50093": {
+      "content": "[XXXXX151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50094": {
+      "content": "[XXXXX213]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50095": {
+      "content": "[XXXXX847]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50096": {
+      "content": "[XXXXX880]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50097": {
+      "content": "[XXXXX44]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50098": {
+      "content": "[XXXXX1031]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50099": {
+      "content": "[XXXXX545]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50100": {
+      "content": "[XXXXX78]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50101": {
+      "content": "[XXXXX687]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50102": {
+      "content": "[XXXXX925]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50103": {
+      "content": "[XXXXX519]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50104": {
+      "content": "[XXXXX1191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50105": {
+      "content": "[XXXXX13]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50106": {
+      "content": "[XXXXX487]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50107": {
+      "content": "[XXXXX932]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50108": {
+      "content": "[XXXXX119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50109": {
+      "content": "[XXXXX170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50110": {
+      "content": "[XXXXX254]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50111": {
+      "content": "[XXXXX420]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50112": {
+      "content": "[XXXXX962]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50113": {
+      "content": "[XXXXX441]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50114": {
+      "content": "[XXXXX950]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50115": {
+      "content": "[XXXXX18]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50116": {
+      "content": "[XXXXX676]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50117": {
+      "content": "[XXXXX1133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50118": {
+      "content": "[XXXXX618]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50119": {
+      "content": "[XXXXX374]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50120": {
+      "content": "[XXXXX815]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50121": {
+      "content": "[XXXXX1058]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50122": {
+      "content": "[XXXXX1108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50123": {
+      "content": "[XXXXX1144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50124": {
+      "content": "[XXXXX791]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50125": {
+      "content": "[XXXXX259]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50126": {
+      "content": "[XXXXX1074]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50127": {
+      "content": "[XXXXX696]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50128": {
+      "content": "[XXXXX1168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50129": {
+      "content": "[XXXXX592]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50130": {
+      "content": "[XXXXX127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50131": {
+      "content": "[XXXXX136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50132": {
+      "content": "[XXXXX237]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50133": {
+      "content": "[XXXXX705]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50134": {
+      "content": "[XXXXX983]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50135": {
+      "content": "[XXXXX816]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50136": {
+      "content": "[XXXXX412]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50137": {
+      "content": "[XXXXX410]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50138": {
+      "content": "[XXXXX795]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50139": {
+      "content": "[XXXXX101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50140": {
+      "content": "[XXXXX171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50141": {
+      "content": "[XXXXX628]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50142": {
+      "content": "[XXXXX1038]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50143": {
+      "content": "[XXXXX447]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50144": {
+      "content": "[XXXXX1043]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50145": {
+      "content": "[XXXXX147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50146": {
+      "content": "[XXXXX1112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50147": {
+      "content": "[XXXXX186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50148": {
+      "content": "[XXXXX461]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50149": {
+      "content": "[XXXXX423]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50150": {
+      "content": "[XXXXX26]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50151": {
+      "content": "[XXXXX227]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50152": {
+      "content": "[XXXXX746]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50153": {
+      "content": "[XXXXX818]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50154": {
+      "content": "[XXXXX725]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50155": {
+      "content": "[XXXXX400]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50156": {
+      "content": "[XXXXX827]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50157": {
+      "content": "[XXXXX1020]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50158": {
+      "content": "[XXXXX1060]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50159": {
+      "content": "[XXXXX195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50160": {
+      "content": "[XXXXX526]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50161": {
+      "content": "[XXXXX570]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50162": {
+      "content": "[XXXXX174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50163": {
+      "content": "[XXXXX333]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50164": {
+      "content": "[XXXXX466]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50165": {
+      "content": "[XXXXX513]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50166": {
+      "content": "[XXXXX695]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50167": {
+      "content": "[XXXXX84]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50168": {
+      "content": "[XXXXX1080]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50169": {
+      "content": "[XXXXX76]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50170": {
+      "content": "[XXXXX742]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50171": {
+      "content": "[XXXXX1008]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50172": {
+      "content": "[XXXXX1123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50173": {
+      "content": "[XXXXX1145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50174": {
+      "content": "[XXXXX701]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50175": {
+      "content": "[XXXXX562]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50176": {
+      "content": "[XXXXX615]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50177": {
+      "content": "[XXXXX389]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50178": {
+      "content": "[XXXXX267]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50179": {
+      "content": "[XXXXX323]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50180": {
+      "content": "[XXXXX346]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50181": {
+      "content": "[XXXXX287]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50182": {
+      "content": "[XXXXX469]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50183": {
+      "content": "[XXXXX58]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50184": {
+      "content": "[XXXXX431]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50185": {
+      "content": "[XXXXX926]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50186": {
+      "content": "[XXXXX1182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50187": {
+      "content": "[XXXXX992]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50188": {
+      "content": "[XXXXX185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50189": {
+      "content": "[XXXXX352]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50190": {
+      "content": "[XXXXX762]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50191": {
+      "content": "[XXXXX991]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50192": {
+      "content": "[XXXXX85]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50193": {
+      "content": "[XXXXX836]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50194": {
+      "content": "[XXXXX460]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50195": {
+      "content": "[XXXXX272]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50196": {
+      "content": "[XXXXX619]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50197": {
+      "content": "[XXXXX759]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50198": {
+      "content": "[XXXXX94]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50199": {
+      "content": "[XXXXX807]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50200": {
+      "content": "[XXXXX299]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50201": {
+      "content": "[XXXXX187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50202": {
+      "content": "[XXXXX486]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50203": {
+      "content": "[XXXXX45]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50204": {
+      "content": "[XXXXX1036]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50205": {
+      "content": "[XXXXX354]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50206": {
+      "content": "[XXXXX386]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50207": {
+      "content": "[XXXXX714]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50208": {
+      "content": "[XXXXX769]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50209": {
+      "content": "[XXXXX304]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50210": {
+      "content": "[XXXXX92]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50211": {
+      "content": "[XXXXX7]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50212": {
+      "content": "[XXXXX31]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50213": {
+      "content": "[XXXXX102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50214": {
+      "content": "[XXXXX163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50215": {
+      "content": "[XXXXX723]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50216": {
+      "content": "[XXXXX1042]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50217": {
+      "content": "[XXXXX452]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50218": {
+      "content": "[XXXXX622]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50219": {
+      "content": "[XXXXX1056]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50220": {
+      "content": "[XXXXX822]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50221": {
+      "content": "[XXXXX125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50222": {
+      "content": "[XXXXX617]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50223": {
+      "content": "[XXXXX34]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50224": {
+      "content": "[XXXXX712]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50225": {
+      "content": "[XXXXX780]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50226": {
+      "content": "[XXXXX547]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50227": {
+      "content": "[XXXXX857]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50228": {
+      "content": "[XXXXX860]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50229": {
+      "content": "[XXXXX897]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50230": {
+      "content": "[XXXXX663]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50231": {
+      "content": "[XXXXX736]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50232": {
+      "content": "[XXXXX202]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50233": {
+      "content": "[XXXXX1029]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50234": {
+      "content": "[XXXXX956]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50235": {
+      "content": "[XXXXX397]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50236": {
+      "content": "[XXXXX239]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50237": {
+      "content": "[XXXXX472]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50238": {
+      "content": "[XXXXX230]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50239": {
+      "content": "[XXXXX796]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50240": {
+      "content": "[XXXXX639]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50241": {
+      "content": "[XXXXX203]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50242": {
+      "content": "[XXXXX231]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50243": {
+      "content": "[XXXXX652]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50244": {
+      "content": "[XXXXX981]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50245": {
+      "content": "[XXXXX911]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50246": {
+      "content": "[XXXXX380]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50247": {
+      "content": "[XXXXX477]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50248": {
+      "content": "[XXXXX952]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50249": {
+      "content": "[XXXXX28]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50250": {
+      "content": "[XXXXX801]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50251": {
+      "content": "[XXXXX1134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50252": {
+      "content": "[XXXXX1176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50253": {
+      "content": "[XXXXX180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50254": {
+      "content": "[XXXXX598]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50255": {
+      "content": "[XXXXX365]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50256": {
+      "content": "[XXXXX729]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50257": {
+      "content": "[XXXXX214]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50258": {
+      "content": "[XXXXX1117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50259": {
+      "content": "[XXXXX278]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50260": {
+      "content": "[XXXXX522]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50261": {
+      "content": "[XXXXX683]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50262": {
+      "content": "[XXXXX731]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50263": {
+      "content": "[XXXXX312]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "[XXXXX1178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50265": {
+      "content": "[XXXXX666]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50266": {
+      "content": "[XXXXX982]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50267": {
+      "content": "[XXXXX414]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50268": {
+      "content": "[XXXXX935]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50269": {
+      "content": "[XXXXX1089]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50270": {
+      "content": "[XXXXX236]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50271": {
+      "content": "[XXXXX463]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50272": {
+      "content": "[XXXXX52]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50273": {
+      "content": "[XXXXX593]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50274": {
+      "content": "[XXXXX508]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50275": {
+      "content": "[XXXXX1125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50276": {
+      "content": "[XXXXX462]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50277": {
+      "content": "[XXXXX32]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50278": {
+      "content": "[XXXXX596]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50279": {
+      "content": "[XXXXX948]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50280": {
+      "content": "[XXXXX150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50281": {
+      "content": "[XXXXX322]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50282": {
+      "content": "[XXXXX390]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50283": {
+      "content": "[XXXXX918]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50284": {
+      "content": "[XXXXX157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50285": {
+      "content": "[XXXXX310]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50286": {
+      "content": "[XXXXX392]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50287": {
+      "content": "[XXXXX649]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50288": {
+      "content": "[XXXXX158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50289": {
+      "content": "[XXXXX430]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50290": {
+      "content": "[XXXXX384]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50291": {
+      "content": "[XXXXX760]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50292": {
+      "content": "[XXXXX700]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50293": {
+      "content": "[XXXXX817]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50294": {
+      "content": "[XXXXX115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50295": {
+      "content": "[XXXXX885]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50296": {
+      "content": "[XXXXX940]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50297": {
+      "content": "[XXXXX997]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50298": {
+      "content": "[XXXXX61]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50299": {
+      "content": "[XXXXX209]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50300": {
+      "content": "[XXXXX316]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50301": {
+      "content": "[XXXXX537]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50302": {
+      "content": "[XXXXX599]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50303": {
+      "content": "[XXXXX680]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50304": {
+      "content": "[XXXXX135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50305": {
+      "content": "[XXXXX39]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50306": {
+      "content": "[XXXXX685]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50307": {
+      "content": "[XXXXX806]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50308": {
+      "content": "[XXXXX870]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50309": {
+      "content": "[XXXXX1096]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50310": {
+      "content": "[XXXXX366]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50311": {
+      "content": "[XXXXX509]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50312": {
+      "content": "[XXXXX943]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50313": {
+      "content": "[XXXXX292]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50314": {
+      "content": "[XXXXX367]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50315": {
+      "content": "[XXXXX632]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50316": {
+      "content": "[XXXXX1136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50317": {
+      "content": "[XXXXX156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50318": {
+      "content": "[XXXXX1100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50319": {
+      "content": "[XXXXX432]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50320": {
+      "content": "[XXXXX514]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50321": {
+      "content": "[XXXXX903]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50322": {
+      "content": "[XXXXX939]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50323": {
+      "content": "[XXXXX986]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50324": {
+      "content": "[XXXXX506]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50325": {
+      "content": "[XXXXX10]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50326": {
+      "content": "[XXXXX573]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50327": {
+      "content": "[XXXXX968]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50328": {
+      "content": "[XXXXX1039]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50329": {
+      "content": "[XXXXX252]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50330": {
+      "content": "[XXXXX612]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50331": {
+      "content": "[XXXXX947]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50332": {
+      "content": "[XXXXX1162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50333": {
+      "content": "[XXXXX733]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50334": {
+      "content": "[XXXXX976]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50335": {
+      "content": "[XXXXX535]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50336": {
+      "content": "[XXXXX710]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50337": {
+      "content": "[XXXXX40]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50338": {
+      "content": "[XXXXX984]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50339": {
+      "content": "[XXXXX584]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50340": {
+      "content": "[XXXXX132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50341": {
+      "content": "[XXXXX1084]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50342": {
+      "content": "[XXXXX549]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50343": {
+      "content": "[XXXXX810]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50344": {
+      "content": "[XXXXX208]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50345": {
+      "content": "[XXXXX609]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50346": {
+      "content": "[XXXXX275]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50347": {
+      "content": "[XXXXX262]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50348": {
+      "content": "[XXXXX331]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50349": {
+      "content": "[XXXXX361]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50350": {
+      "content": "[XXXXX561]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50351": {
+      "content": "[XXXXX143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50352": {
+      "content": "[XXXXX1061]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50353": {
+      "content": "[XXXXX59]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50354": {
+      "content": "[XXXXX21]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50355": {
+      "content": "[XXXXX995]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50356": {
+      "content": "[XXXXX439]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50357": {
+      "content": "[XXXXX831]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50358": {
+      "content": "[XXXXX745]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50359": {
+      "content": "[XXXXX43]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50360": {
+      "content": "[XXXXX498]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50361": {
+      "content": "[XXXXX575]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50362": {
+      "content": "[XXXXX624]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50363": {
+      "content": "[XXXXX72]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50364": {
+      "content": "[XXXXX921]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50365": {
+      "content": "[XXXXX201]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50366": {
+      "content": "[XXXXX1171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50367": {
+      "content": "[XXXXX912]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50368": {
+      "content": "[XXXXX775]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50369": {
+      "content": "[XXXXX1094]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50370": {
+      "content": "[XXXXX80]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50371": {
+      "content": "[XXXXX894]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50372": {
+      "content": "[XXXXX876]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50373": {
+      "content": "[XXXXX1143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50374": {
+      "content": "[XXXXX355]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50375": {
+      "content": "[XXXXX450]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50376": {
+      "content": "[XXXXX642]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50377": {
+      "content": "[XXXXX162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50378": {
+      "content": "[XXXXX394]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50379": {
+      "content": "[XXXXX296]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50380": {
+      "content": "[XXXXX536]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50381": {
+      "content": "[XXXXX560]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50382": {
+      "content": "[XXXXX373]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50383": {
+      "content": "[XXXXX674]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50384": {
+      "content": "[XXXXX1099]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50385": {
+      "content": "[XXXXX797]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50386": {
+      "content": "[XXXXX516]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50387": {
+      "content": "[XXXXX41]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50388": {
+      "content": "[XXXXX594]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50389": {
+      "content": "[XXXXX319]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50390": {
+      "content": "[XXXXX165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50391": {
+      "content": "[XXXXX344]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50392": {
+      "content": "[XXXXX1012]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50393": {
+      "content": "[XXXXX942]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50394": {
+      "content": "[XXXXX1071]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50395": {
+      "content": "[XXXXX648]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50396": {
+      "content": "[XXXXX4]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50397": {
+      "content": "[XXXXX633]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50398": {
+      "content": "[XXXXX551]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50399": {
+      "content": "[XXXXX586]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50400": {
+      "content": "[XXXXX578]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50401": {
+      "content": "[XXXXX348]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50402": {
+      "content": "[XXXXX614]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50403": {
+      "content": "[XXXXX33]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50404": {
+      "content": "[XXXXX1193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50405": {
+      "content": "[XXXXX737]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50406": {
+      "content": "[XXXXX233]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50407": {
+      "content": "[XXXXX933]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50408": {
+      "content": "[XXXXX781]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50409": {
+      "content": "[XXXXX189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50410": {
+      "content": "[XXXXX1006]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50411": {
+      "content": "[XXXXX219]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50412": {
+      "content": "[XXXXX454]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50413": {
+      "content": "[XXXXX449]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50414": {
+      "content": "[XXXXX697]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50415": {
+      "content": "[XXXXX724]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50416": {
+      "content": "[XXXXX224]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50417": {
+      "content": "[XXXXX1157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50418": {
+      "content": "[XXXXX455]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50419": {
+      "content": "[XXXXX505]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50420": {
+      "content": "[XXXXX96]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50421": {
+      "content": "[XXXXX182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50422": {
+      "content": "[XXXXX424]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50423": {
+      "content": "[XXXXX872]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50424": {
+      "content": "[XXXXX1163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50425": {
+      "content": "[XXXXX1081]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50426": {
+      "content": "[XXXXX1173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50427": {
+      "content": "[XXXXX172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50428": {
+      "content": "[XXXXX507]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50429": {
+      "content": "[XXXXX920]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50430": {
+      "content": "[XXXXX1126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50431": {
+      "content": "[XXXXX474]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50432": {
+      "content": "[XXXXX971]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50433": {
+      "content": "[XXXXX1049]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50434": {
+      "content": "[XXXXX1114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50435": {
+      "content": "[XXXXX1040]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50436": {
+      "content": "[XXXXX79]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50437": {
+      "content": "[XXXXX36]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50438": {
+      "content": "[XXXXX977]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50439": {
+      "content": "[XXXXX1129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50440": {
+      "content": "[XXXXX1063]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50441": {
+      "content": "[XXXXX773]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50442": {
+      "content": "[XXXXX16]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50443": {
+      "content": "[XXXXX113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50444": {
+      "content": "[XXXXX320]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50445": {
+      "content": "[XXXXX167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50446": {
+      "content": "[XXXXX751]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50447": {
+      "content": "[XXXXX656]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50448": {
+      "content": "[XXXXX543]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50449": {
+      "content": "[XXXXX828]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50450": {
+      "content": "[XXXXX915]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50451": {
+      "content": "[XXXXX1098]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50452": {
+      "content": "[XXXXX569]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50453": {
+      "content": "[XXXXX1166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50454": {
+      "content": "[XXXXX846]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50455": {
+      "content": "[XXXXX324]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50456": {
+      "content": "[XXXXX802]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50457": {
+      "content": "[XXXXX588]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50458": {
+      "content": "[XXXXX739]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50459": {
+      "content": "[XXXXX50]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50460": {
+      "content": "[XXXXX882]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50461": {
+      "content": "[XXXXX1054]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50462": {
+      "content": "[XXXXX621]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50463": {
+      "content": "[XXXXX585]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50464": {
+      "content": "[XXXXX121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50465": {
+      "content": "[XXXXX647]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50466": {
+      "content": "[XXXXX767]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50467": {
+      "content": "[XXXXX645]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50468": {
+      "content": "[XXXXX27]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50469": {
+      "content": "[XXXXX907]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50470": {
+      "content": "[XXXXX1109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50471": {
+      "content": "[XXXXX1147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50472": {
+      "content": "[XXXXX501]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50473": {
+      "content": "[XXXXX1164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50474": {
+      "content": "[XXXXX650]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50475": {
+      "content": "[XXXXX329]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50476": {
+      "content": "[XXXXX659]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50477": {
+      "content": "[XXXXX1158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50478": {
+      "content": "[XXXXX104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50479": {
+      "content": "[XXXXX629]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50480": {
+      "content": "[XXXXX868]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50481": {
+      "content": "[XXXXX779]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50482": {
+      "content": "[XXXXX17]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50483": {
+      "content": "[XXXXX377]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50484": {
+      "content": "[XXXXX467]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50485": {
+      "content": "[XXXXX917]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50486": {
+      "content": "[XXXXX830]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50487": {
+      "content": "[XXXXX533]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50488": {
+      "content": "[XXXXX862]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50489": {
+      "content": "[XXXXX1041]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50490": {
+      "content": "[XXXXX542]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50491": {
+      "content": "[XXXXX595]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50492": {
+      "content": "[XXXXX353]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50493": {
+      "content": "[XXXXX181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50494": {
+      "content": "[XXXXX662]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50495": {
+      "content": "[XXXXX1195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50496": {
+      "content": "[XXXXX435]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50497": {
+      "content": "[XXXXX1051]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50498": {
+      "content": "[XXXXX703]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50499": {
+      "content": "[XXXXX1140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50500": {
+      "content": "[XXXXX750]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50501": {
+      "content": "[XXXXX57]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50502": {
+      "content": "[XXXXX75]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50503": {
+      "content": "[XXXXX293]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50504": {
+      "content": "[XXXXX681]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50505": {
+      "content": "[XXXXX46]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50506": {
+      "content": "[XXXXX30]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50507": {
+      "content": "[XXXXX402]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50508": {
+      "content": "[XXXXX803]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50509": {
+      "content": "[XXXXX821]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50510": {
+      "content": "[XXXXX871]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50511": {
+      "content": "[XXXXX980]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50512": {
+      "content": "[XXXXX990]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50513": {
+      "content": "[XXXXX626]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50514": {
+      "content": "[XXXXX90]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50515": {
+      "content": "[XXXXX77]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50516": {
+      "content": "[XXXXX819]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50517": {
+      "content": "[XXXXX436]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50518": {
+      "content": "[XXXXX306]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50519": {
+      "content": "[XXXXX434]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50520": {
+      "content": "[XXXXX88]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50521": {
+      "content": "[XXXXX184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50522": {
+      "content": "[XXXXX290]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50523": {
+      "content": "[XXXXX216]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50524": {
+      "content": "[XXXXX176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50525": {
+      "content": "[XXXXX747]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50526": {
+      "content": "[XXXXX938]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50527": {
+      "content": "[XXXXX442]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50528": {
+      "content": "[XXXXX301]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50529": {
+      "content": "[XXXXX1015]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50530": {
+      "content": "[XXXXX520]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50531": {
+      "content": "[XXXXX829]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50532": {
+      "content": "[XXXXX106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50533": {
+      "content": "[XXXXX1048]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50534": {
+      "content": "[XXXXX923]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50535": {
+      "content": "[XXXXX958]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50536": {
+      "content": "[XXXXX1130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50537": {
+      "content": "[XXXXX89]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50538": {
+      "content": "[XXXXX548]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50539": {
+      "content": "[XXXXX863]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50540": {
+      "content": "[XXXXX444]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50541": {
+      "content": "[XXXXX1149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50542": {
+      "content": "[XXXXX866]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50543": {
+      "content": "[XXXXX109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50544": {
+      "content": "[XXXXX550]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50545": {
+      "content": "[XXXXX727]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50546": {
+      "content": "[XXXXX646]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50547": {
+      "content": "[XXXXX702]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50548": {
+      "content": "[XXXXX204]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50549": {
+      "content": "[XXXXX1000]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50550": {
+      "content": "[XXXXX591]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50551": {
+      "content": "[XXXXX1128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50552": {
+      "content": "[XXXXX937]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50553": {
+      "content": "[XXXXX141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50554": {
+      "content": "[XXXXX273]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50555": {
+      "content": "[XXXXX1183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50556": {
+      "content": "[XXXXX765]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50557": {
+      "content": "[XXXXX371]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50558": {
+      "content": "[XXXXX256]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50559": {
+      "content": "[XXXXX964]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50560": {
+      "content": "[XXXXX1148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50561": {
+      "content": "[XXXXX930]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50562": {
+      "content": "[XXXXX212]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50563": {
+      "content": "[XXXXX133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50564": {
+      "content": "[XXXXX608]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50565": {
+      "content": "[XXXXX281]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50566": {
+      "content": "[XXXXX1045]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50567": {
+      "content": "[XXXXX928]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50568": {
+      "content": "[XXXXX1154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50569": {
+      "content": "[XXXXX334]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50570": {
+      "content": "[XXXXX861]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50571": {
+      "content": "[XXXXX87]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50572": {
+      "content": "[XXXXX941]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50573": {
+      "content": "[XXXXX359]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50574": {
+      "content": "[XXXXX55]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50575": {
+      "content": "[XXXXX842]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50576": {
+      "content": "[XXXXX427]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50577": {
+      "content": "[XXXXX491]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50578": {
+      "content": "[XXXXX137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50579": {
+      "content": "[XXXXX47]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50580": {
+      "content": "[XXXXX511]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50581": {
+      "content": "[XXXXX81]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50582": {
+      "content": "[XXXXX139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50583": {
+      "content": "[XXXXX226]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50584": {
+      "content": "[XXXXX563]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50585": {
+      "content": "[XXXXX708]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50586": {
+      "content": "[XXXXX820]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50587": {
+      "content": "[XXXXX65]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50588": {
+      "content": "[XXXXX381]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50589": {
+      "content": "[XXXXX22]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50590": {
+      "content": "[XXXXX1064]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50591": {
+      "content": "[XXXXX874]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50592": {
+      "content": "[XXXXX944]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50593": {
+      "content": "[XXXXX6]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50594": {
+      "content": "[XXXXX313]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50595": {
+      "content": "[XXXXX471]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50596": {
+      "content": "[XXXXX1118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50597": {
+      "content": "[XXXXX849]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50598": {
+      "content": "[XXXXX483]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50599": {
+      "content": "[XXXXX713]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50600": {
+      "content": "[XXXXX222]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50601": {
+      "content": "[XXXXX640]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50602": {
+      "content": "[XXXXX12]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50603": {
+      "content": "[XXXXX285]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50604": {
+      "content": "[XXXXX327]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50605": {
+      "content": "[XXXXX378]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50606": {
+      "content": "[XXXXX790]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50607": {
+      "content": "[XXXXX1179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50608": {
+      "content": "[XXXXX15]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50609": {
+      "content": "[XXXXX229]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50610": {
+      "content": "[XXXXX771]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50611": {
+      "content": "[XXXXX559]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50612": {
+      "content": "[XXXXX253]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50613": {
+      "content": "[XXXXX644]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50614": {
+      "content": "[XXXXX811]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50615": {
+      "content": "[XXXXX554]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50616": {
+      "content": "[XXXXX744]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50617": {
+      "content": "[XXXXX786]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50618": {
+      "content": "[XXXXX913]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50619": {
+      "content": "[XXXXX966]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50620": {
+      "content": "[XXXXX972]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50621": {
+      "content": "[XXXXX664]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50622": {
+      "content": "[XXXXX1131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50623": {
+      "content": "[XXXXX1132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50624": {
+      "content": "[XXXXX376]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50625": {
+      "content": "[XXXXX672]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50626": {
+      "content": "[XXXXX1013]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50627": {
+      "content": "[XXXXX328]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50628": {
+      "content": "[XXXXX889]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50629": {
+      "content": "[XXXXX1141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50630": {
+      "content": "[XXXXX429]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50631": {
+      "content": "[XXXXX114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50632": {
+      "content": "[XXXXX523]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50633": {
+      "content": "[XXXXX833]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50634": {
+      "content": "[XXXXX927]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50635": {
+      "content": "[XXXXX297]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50636": {
+      "content": "[XXXXX812]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50637": {
+      "content": "[XXXXX1062]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50638": {
+      "content": "[XXXXX152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50639": {
+      "content": "[XXXXX1010]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50640": {
+      "content": "[XXXXX690]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50641": {
+      "content": "[XXXXX363]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50642": {
+      "content": "[XXXXX1103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50643": {
+      "content": "[XXXXX194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50644": {
+      "content": "[XXXXX844]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50645": {
+      "content": "[XXXXX667]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50646": {
+      "content": "[XXXXX720]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50647": {
+      "content": "[XXXXX770]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50648": {
+      "content": "[XXXXX515]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50649": {
+      "content": "[XXXXX196]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50650": {
+      "content": "[XXXXX283]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50651": {
+      "content": "[XXXXX95]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50652": {
+      "content": "[XXXXX528]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50653": {
+      "content": "[XXXXX749]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50654": {
+      "content": "[XXXXX934]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50655": {
+      "content": "[XXXXX1052]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50656": {
+      "content": "[XXXXX1188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50657": {
+      "content": "[XXXXX1001]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50658": {
+      "content": "[XXXXX785]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50659": {
+      "content": "[XXXXX393]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50660": {
+      "content": "[XXXXX502]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50661": {
+      "content": "[XXXXX404]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50662": {
+      "content": "[XXXXX129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50663": {
+      "content": "[XXXXX643]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50664": {
+      "content": "[XXXXX1086]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50665": {
+      "content": "[XXXXX1104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50666": {
+      "content": "[XXXXX326]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50667": {
+      "content": "[XXXXX330]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50668": {
+      "content": "[XXXXX620]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50669": {
+      "content": "[XXXXX193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50670": {
+      "content": "[XXXXX470]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50671": {
+      "content": "[XXXXX279]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50672": {
+      "content": "[XXXXX97]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50673": {
+      "content": "[XXXXX177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50674": {
+      "content": "[XXXXX510]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50675": {
+      "content": "[XXXXX225]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50676": {
+      "content": "[XXXXX572]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50677": {
+      "content": "[XXXXX777]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50678": {
+      "content": "[XXXXX1135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50679": {
+      "content": "[XXXXX1160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50680": {
+      "content": "[XXXXX558]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50681": {
+      "content": "[XXXXX416]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50682": {
+      "content": "[XXXXX246]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50683": {
+      "content": "[XXXXX799]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50684": {
+      "content": "[XXXXX153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50685": {
+      "content": "[XXXXX671]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50686": {
+      "content": "[XXXXX809]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50687": {
+      "content": "[XXXXX525]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50688": {
+      "content": "[XXXXX1004]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50689": {
+      "content": "[XXXXX1005]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50690": {
+      "content": "[XXXXX1194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50691": {
+      "content": "[XXXXX408]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50692": {
+      "content": "[XXXXX492]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50693": {
+      "content": "[XXXXX973]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50694": {
+      "content": "[XXXXX242]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50695": {
+      "content": "[XXXXX357]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50696": {
+      "content": "[XXXXX851]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50697": {
+      "content": "[XXXXX999]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50698": {
+      "content": "[XXXXX969]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50699": {
+      "content": "[XXXXX453]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50700": {
+      "content": "[XXXXX730]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50701": {
+      "content": "[XXXXX54]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50702": {
+      "content": "[XXXXX480]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50703": {
+      "content": "[XXXXX564]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50704": {
+      "content": "[XXXXX600]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50705": {
+      "content": "[XXXXX654]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50706": {
+      "content": "[XXXXX37]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50707": {
+      "content": "[XXXXX605]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50708": {
+      "content": "[XXXXX164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50709": {
+      "content": "[XXXXX395]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50710": {
+      "content": "[XXXXX401]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50711": {
+      "content": "[XXXXX446]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50712": {
+      "content": "[XXXXX658]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50713": {
+      "content": "[XXXXX60]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50714": {
+      "content": "[XXXXX107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50715": {
+      "content": "[XXXXX131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50716": {
+      "content": "[XXXXX387]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50717": {
+      "content": "[XXXXX67]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50718": {
+      "content": "[XXXXX743]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50719": {
+      "content": "[XXXXX657]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50720": {
+      "content": "[XXXXX418]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50721": {
+      "content": "[XXXXX787]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50722": {
+      "content": "[XXXXX838]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50723": {
+      "content": "[XXXXX298]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50724": {
+      "content": "[XXXXX1007]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50725": {
+      "content": "[XXXXX1027]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50726": {
+      "content": "[XXXXX1078]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50727": {
+      "content": "[XXXXX651]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50728": {
+      "content": "[XXXXX875]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50729": {
+      "content": "[XXXXX258]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50730": {
+      "content": "[XXXXX413]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50731": {
+      "content": "[XXXXX1092]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50732": {
+      "content": "[XXXXX124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50733": {
+      "content": "[XXXXX308]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50734": {
+      "content": "[XXXXX1085]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50735": {
+      "content": "[XXXXX1170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50736": {
+      "content": "[XXXXX38]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50737": {
+      "content": "[XXXXX438]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50738": {
+      "content": "[XXXXX475]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50739": {
+      "content": "[XXXXX900]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50740": {
+      "content": "[XXXXX263]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50741": {
+      "content": "[XXXXX166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50742": {
+      "content": "[XXXXX698]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50743": {
+      "content": "[XXXXX1127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50744": {
+      "content": "[XXXXX1181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50745": {
+      "content": "[XXXXX763]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50746": {
+      "content": "[XXXXX627]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50747": {
+      "content": "[XXXXX250]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50748": {
+      "content": "[XXXXX757]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50749": {
+      "content": "[XXXXX142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50750": {
+      "content": "[XXXXX794]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50751": {
+      "content": "[XXXXX128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50752": {
+      "content": "[XXXXX35]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50753": {
+      "content": "[XXXXX482]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50754": {
+      "content": "[XXXXX834]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50755": {
+      "content": "[XXXXX679]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50756": {
+      "content": "[XXXXX839]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50757": {
+      "content": "[XXXXX138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50758": {
+      "content": "[XXXXX1066]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50759": {
+      "content": "[XXXXX116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50760": {
+      "content": "[XXXXX317]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50761": {
+      "content": "[XXXXX490]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50762": {
+      "content": "[XXXXX443]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50763": {
+      "content": "[XXXXX879]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50764": {
+      "content": "[XXXXX1101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50765": {
+      "content": "[XXXXX711]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50766": {
+      "content": "[XXXXX123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50767": {
+      "content": "[XXXXX1152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50768": {
+      "content": "[XXXXX692]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50769": {
+      "content": "[XXXXX555]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50770": {
+      "content": "[XXXXX266]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50771": {
+      "content": "[XXXXX0]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50772": {
+      "content": "[XXXXX332]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50773": {
+      "content": "[XXXXX497]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50774": {
+      "content": "[XXXXX904]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50775": {
+      "content": "[XXXXX1019]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50776": {
+      "content": "[XXXXX709]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50777": {
+      "content": "[XXXXX351]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50778": {
+      "content": "[XXXXX764]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50779": {
+      "content": "[XXXXX625]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50780": {
+      "content": "[XXXXX798]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50781": {
+      "content": "[XXXXX205]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50782": {
+      "content": "[XXXXX922]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50783": {
+      "content": "[XXXXX1075]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50784": {
+      "content": "[XXXXX8]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50785": {
+      "content": "[XXXXX422]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50786": {
+      "content": "[XXXXX638]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50787": {
+      "content": "[XXXXX98]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50788": {
+      "content": "[XXXXX814]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50789": {
+      "content": "[XXXXX1057]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50790": {
+      "content": "[XXXXX1070]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50791": {
+      "content": "[XXXXX411]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50792": {
+      "content": "[XXXXX768]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50793": {
+      "content": "[XXXXX1165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50794": {
+      "content": "[XXXXX888]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50795": {
+      "content": "[XXXXX636]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50796": {
+      "content": "[XXXXX1047]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50797": {
+      "content": "[XXXXX960]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50798": {
+      "content": "[XXXXX910]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50799": {
+      "content": "[XXXXX42]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50800": {
+      "content": "[XXXXX238]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50801": {
+      "content": "[XXXXX383]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50802": {
+      "content": "[XXXXX1032]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50803": {
+      "content": "[XXXXX577]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50804": {
+      "content": "[XXXXX268]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50805": {
+      "content": "[XXXXX179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50806": {
+      "content": "[XXXXX1076]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50807": {
+      "content": "[XXXXX1167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50808": {
+      "content": "[XXXXX1172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50809": {
+      "content": "[XXXXX665]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50810": {
+      "content": "[XXXXX126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50811": {
+      "content": "[XXXXX347]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50812": {
+      "content": "[XXXXX544]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50813": {
+      "content": "[XXXXX1026]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50814": {
+      "content": "[XXXXX159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50815": {
+      "content": "[XXXXX503]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50816": {
+      "content": "[XXXXX583]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50817": {
+      "content": "[XXXXX668]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50818": {
+      "content": "[XXXXX1115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50819": {
+      "content": "[XXXXX112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50820": {
+      "content": "[XXXXX154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50821": {
+      "content": "[XXXXX761]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50822": {
+      "content": "[XXXXX540]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50823": {
+      "content": "[XXXXX755]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50824": {
+      "content": "[XXXXX255]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50825": {
+      "content": "[XXXXX459]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50826": {
+      "content": "[XXXXX1090]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50827": {
+      "content": "[XXXXX689]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50828": {
+      "content": "[XXXXX589]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50829": {
+      "content": "[XXXXX122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50830": {
+      "content": "[XXXXX789]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50831": {
+      "content": "[XXXXX481]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50832": {
+      "content": "[XXXXX1044]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50833": {
+      "content": "[XXXXX274]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50834": {
+      "content": "[XXXXX957]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50835": {
+      "content": "[XXXXX1121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50836": {
+      "content": "[XXXXX464]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50837": {
+      "content": "[XXXXX495]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50838": {
+      "content": "[XXXXX1097]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50839": {
+      "content": "[XXXXX581]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50840": {
+      "content": "[XXXXX200]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50841": {
+      "content": "[XXXXX954]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50842": {
+      "content": "[XXXXX48]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50843": {
+      "content": "[XXXXX855]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50844": {
+      "content": "[XXXXX419]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50845": {
+      "content": "[XXXXX919]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50846": {
+      "content": "[XXXXX451]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50847": {
+      "content": "[XXXXX869]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50848": {
+      "content": "[XXXXX1082]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50849": {
+      "content": "[XXXXX1185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50850": {
+      "content": "[XXXXX859]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50851": {
+      "content": "[XXXXX1139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50852": {
+      "content": "[XXXXX1072]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50853": {
+      "content": "[XXXXX220]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50854": {
+      "content": "[XXXXX465]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50855": {
+      "content": "[XXXXX1105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50856": {
+      "content": "[XXXXX1093]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50857": {
+      "content": "[XXXXX953]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50858": {
+      "content": "[XXXXX1187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50859": {
+      "content": "[XXXXX311]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50860": {
+      "content": "[XXXXX403]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50861": {
+      "content": "[XXXXX684]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50862": {
+      "content": "[XXXXX426]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50863": {
+      "content": "[XXXXX68]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50864": {
+      "content": "[XXXXX277]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50865": {
+      "content": "[XXXXX437]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50866": {
+      "content": "[XXXXX896]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50867": {
+      "content": "[XXXXX899]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50868": {
+      "content": "[XXXXX878]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50869": {
+      "content": "[XXXXX1073]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50870": {
+      "content": "[XXXXX774]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50871": {
+      "content": "[XXXXX315]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50872": {
+      "content": "[XXXXX631]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50873": {
+      "content": "[XXXXX223]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50874": {
+      "content": "[XXXXX86]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50875": {
+      "content": "[XXXXX607]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50876": {
+      "content": "[XXXXX149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50877": {
+      "content": "[XXXXX566]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50878": {
+      "content": "[XXXXX740]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50879": {
+      "content": "[XXXXX265]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50880": {
+      "content": "[XXXXX399]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50881": {
+      "content": "[XXXXX1053]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50882": {
+      "content": "[XXXXX1077]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50883": {
+      "content": "[XXXXX336]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50884": {
+      "content": "[XXXXX734]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50885": {
+      "content": "[XXXXX289]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50886": {
+      "content": "[XXXXX221]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50887": {
+      "content": "[XXXXX580]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50888": {
+      "content": "[XXXXX406]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50889": {
+      "content": "[XXXXX854]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50890": {
+      "content": "[XXXXX673]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50891": {
+      "content": "[XXXXX1146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50892": {
+      "content": "[XXXXX29]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50893": {
+      "content": "[XXXXX496]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50894": {
+      "content": "[XXXXX241]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50895": {
+      "content": "[XXXXX929]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50896": {
+      "content": "[XXXXX169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50897": {
+      "content": "[XXXXX1153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50898": {
+      "content": "[XXXXX440]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50899": {
+      "content": "[XXXXX385]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50900": {
+      "content": "[XXXXX499]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50901": {
+      "content": "[XXXXX718]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50902": {
+      "content": "[XXXXX848]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50903": {
+      "content": "[XXXXX877]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50904": {
+      "content": "[XXXXX641]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50905": {
+      "content": "[XXXXX1137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50906": {
+      "content": "[XXXXX269]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50907": {
+      "content": "[XXXXX521]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50908": {
+      "content": "[XXXXX234]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50909": {
+      "content": "[XXXXX987]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50910": {
+      "content": "[XXXXX741]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50911": {
+      "content": "[XXXXX349]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50912": {
+      "content": "[XXXXX93]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50913": {
+      "content": "[XXXXX247]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50914": {
+      "content": "[XXXXX961]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50915": {
+      "content": "[XXXXX1120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50916": {
+      "content": "[XXXXX369]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50917": {
+      "content": "[XXXXX479]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50918": {
+      "content": "[XXXXX892]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50919": {
+      "content": "[XXXXX553]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50920": {
+      "content": "[XXXXX906]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50921": {
+      "content": "[XXXXX571]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50922": {
+      "content": "[XXXXX1046]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50923": {
+      "content": "[XXXXX206]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50924": {
+      "content": "[XXXXX488]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50925": {
+      "content": "[XXXXX445]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50926": {
+      "content": "[XXXXX524]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50927": {
+      "content": "[XXXXX228]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50928": {
+      "content": "[XXXXX998]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50929": {
+      "content": "[XXXXX675]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50930": {
+      "content": "[XXXXX732]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50931": {
+      "content": "[XXXXX1028]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50932": {
+      "content": "[XXXXX494]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50933": {
+      "content": "[XXXXX965]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50934": {
+      "content": "[XXXXX1021]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50935": {
+      "content": "[XXXXX726]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50936": {
+      "content": "[XXXXX168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50937": {
+      "content": "[XXXXX606]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50938": {
+      "content": "[XXXXX974]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50939": {
+      "content": "[XXXXX504]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50940": {
+      "content": "[XXXXX556]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50941": {
+      "content": "[XXXXX1159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50942": {
+      "content": "[XXXXX417]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50943": {
+      "content": "[XXXXX1175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50944": {
+      "content": "[XXXXX1142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50945": {
+      "content": "[XXXXX753]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50946": {
+      "content": "[XXXXX824]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50947": {
+      "content": "[XXXXX251]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50948": {
+      "content": "[XXXXX345]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50949": {
+      "content": "[XXXXX610]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50950": {
+      "content": "[XXXXX276]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50951": {
+      "content": "[XXXXX783]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50952": {
+      "content": "[XXXXX74]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50953": {
+      "content": "[XXXXX1050]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50954": {
+      "content": "[XXXXX71]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50955": {
+      "content": "[XXXXX360]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50956": {
+      "content": "[XXXXX512]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50957": {
+      "content": "[XXXXX341]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50958": {
+      "content": "[XXXXX375]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50959": {
+      "content": "[XXXXX637]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50960": {
+      "content": "[XXXXX1116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50961": {
+      "content": "[XXXXX9]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50962": {
+      "content": "[XXXXX738]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50963": {
+      "content": "[XXXXX856]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50964": {
+      "content": "[XXXXX979]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50965": {
+      "content": "[XXXXX825]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50966": {
+      "content": "[XXXXX852]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50967": {
+      "content": "[XXXXX215]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50968": {
+      "content": "[XXXXX91]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50969": {
+      "content": "[XXXXX257]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50970": {
+      "content": "[XXXXX325]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50971": {
+      "content": "[XXXXX368]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50972": {
+      "content": "[XXXXX1124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50973": {
+      "content": "[XXXXX188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50974": {
+      "content": "[XXXXX905]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50975": {
+      "content": "[XXXXX284]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50976": {
+      "content": "[XXXXX11]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50977": {
+      "content": "[XXXXX83]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50978": {
+      "content": "[XXXXX611]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50979": {
+      "content": "[XXXXX51]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50980": {
+      "content": "[XXXXX99]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50981": {
+      "content": "[XXXXX288]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50982": {
+      "content": "[XXXXX945]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50983": {
+      "content": "[XXXXX975]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50984": {
+      "content": "[XXXXX282]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50985": {
+      "content": "[XXXXX1068]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50986": {
+      "content": "[XXXXX1180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50987": {
+      "content": "[XXXXX574]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50988": {
+      "content": "[XXXXX305]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50989": {
+      "content": "[XXXXX565]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50990": {
+      "content": "[XXXXX865]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50991": {
+      "content": "[XXXXX1014]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50992": {
+      "content": "[XXXXX1138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50993": {
+      "content": "[XXXXX134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50994": {
+      "content": "[XXXXX321]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50995": {
+      "content": "[XXXXX752]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50996": {
+      "content": "[XXXXX108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50997": {
+      "content": "[XXXXX339]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50998": {
+      "content": "[XXXXX893]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50999": {
+      "content": "[XXXXX1177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51000": {
+      "content": "[XXXXX988]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51001": {
+      "content": "[XXXXX719]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51002": {
+      "content": "[XXXXX1059]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51003": {
+      "content": "[XXXXX421]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51004": {
+      "content": "[XXXXX670]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51005": {
+      "content": "[XXXXX949]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51006": {
+      "content": "[XXXXX14]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51007": {
+      "content": "[XXXXX1087]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51008": {
+      "content": "[XXXXX382]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51009": {
+      "content": "[XXXXX531]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51010": {
+      "content": "[XXXXX1079]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51011": {
+      "content": "[XXXXX1067]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51012": {
+      "content": "[XXXXX655]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51013": {
+      "content": "[XXXXX340]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51014": {
+      "content": "[XXXXX398]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51015": {
+      "content": "[XXXXX175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51016": {
+      "content": "[XXXXX232]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51017": {
+      "content": "[XXXXX244]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51018": {
+      "content": "[XXXXX568]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51019": {
+      "content": "[XXXXX1110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51020": {
+      "content": "[XXXXX191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51021": {
+      "content": "[XXXXX931]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51022": {
+      "content": "[XXXXX832]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51023": {
+      "content": "[XXXXX1030]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51024": {
+      "content": "[XXXXX144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51025": {
+      "content": "[XXXXX1102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51026": {
+      "content": "[XXXXX300]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51027": {
+      "content": "[XXXXX996]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51028": {
+      "content": "[XXXXX248]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51029": {
+      "content": "[XXXXX66]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51030": {
+      "content": "[XXXXX735]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51031": {
+      "content": "[XXXXX20]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51032": {
+      "content": "[XXXXX694]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51033": {
+      "content": "[XXXXX845]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51034": {
+      "content": "[XXXXX500]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51035": {
+      "content": "[XXXXX613]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51036": {
+      "content": "[XXXXX117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51037": {
+      "content": "[XXXXX886]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51038": {
+      "content": "[XXXXX261]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51039": {
+      "content": "[XXXXX567]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51040": {
+      "content": "[XXXXX541]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51041": {
+      "content": "[XXXXX529]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51042": {
+      "content": "[XXXXX699]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51043": {
+      "content": "[XXXXX715]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51044": {
+      "content": "[XXXXX1003]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51045": {
+      "content": "[XXXXX518]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51046": {
+      "content": "[XXXXX891]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51047": {
+      "content": "[XXXXX192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51048": {
+      "content": "[XXXXX53]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51049": {
+      "content": "[XXXXX428]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51050": {
+      "content": "[XXXXX183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51051": {
+      "content": "[XXXXX850]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51052": {
+      "content": "[XXXXX539]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51053": {
+      "content": "[XXXXX527]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51054": {
+      "content": "[XXXXX660]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51055": {
+      "content": "[XXXXX409]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51056": {
+      "content": "[XXXXX1122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51057": {
+      "content": "[XXXXX898]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51058": {
+      "content": "[XXXXX858]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51059": {
+      "content": "[XXXXX534]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51060": {
+      "content": "[XXXXX756]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51061": {
+      "content": "[XXXXX63]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51062": {
+      "content": "[XXXXX49]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51063": {
+      "content": "[XXXXX1106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51064": {
+      "content": "[XXXXX111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51065": {
+      "content": "[XXXXX955]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51066": {
+      "content": "[XXXXX309]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51067": {
+      "content": "[XXXXX538]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51068": {
+      "content": "[XXXXX823]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51069": {
+      "content": "[XXXXX867]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51070": {
+      "content": "[XXXXX587]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51071": {
+      "content": "[XXXXX243]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51072": {
+      "content": "[XXXXX677]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51073": {
+      "content": "[XXXXX1017]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51074": {
+      "content": "[XXXXX173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51075": {
+      "content": "[XXXXX682]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51076": {
+      "content": "[XXXXX1184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51077": {
+      "content": "[XXXXX1009]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51078": {
+      "content": "[XXXXX704]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51079": {
+      "content": "[XXXXX532]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51080": {
+      "content": "[XXXXX901]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51081": {
+      "content": "[XXXXX120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51082": {
+      "content": "[XXXXX388]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51083": {
+      "content": "[XXXXX405]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51084": {
+      "content": "[XXXXX788]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51085": {
+      "content": "[XXXXX728]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51086": {
+      "content": "[XXXXX425]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51087": {
+      "content": "[XXXXX883]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51088": {
+      "content": "[XXXXX837]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51089": {
+      "content": "[XXXXX350]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51090": {
+      "content": "[XXXXX716]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51091": {
+      "content": "[XXXXX579]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51092": {
+      "content": "[XXXXX909]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51093": {
+      "content": "[XXXXX884]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51094": {
+      "content": "[XXXXX1011]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51095": {
+      "content": "[XXXXX372]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51096": {
+      "content": "[XXXXX370]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51097": {
+      "content": "[XXXXX468]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51098": {
+      "content": "[XXXXX688]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51099": {
+      "content": "[XXXXX56]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51100": {
+      "content": "[XXXXX653]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51101": {
+      "content": "[XXXXX623]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51102": {
+      "content": "[XXXXX552]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51103": {
+      "content": "[XXXXX314]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51104": {
+      "content": "[XXXXX1018]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51105": {
+      "content": "[XXXXX1091]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51106": {
+      "content": "[XXXXX342]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51107": {
+      "content": "[XXXXX1065]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51108": {
+      "content": "[XXXXX1161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51109": {
+      "content": "[XXXXX959]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51110": {
+      "content": "[XXXXX1035]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51111": {
+      "content": "[XXXXX530]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51112": {
+      "content": "[XXXXX69]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51113": {
+      "content": "[XXXXX489]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51114": {
+      "content": "[XXXXX1]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51115": {
+      "content": "[XXXXX207]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51116": {
+      "content": "[XXXXX433]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51117": {
+      "content": "[XXXXX358]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51118": {
+      "content": "[XXXXX601]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51119": {
+      "content": "[XXXXX2]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51120": {
+      "content": "[XXXXX722]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51121": {
+      "content": "[XXXXX985]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51122": {
+      "content": "[XXXXX908]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51123": {
+      "content": "[XXXXX1024]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51124": {
+      "content": "[XXXXX1111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51125": {
+      "content": "[XXXXX1113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51126": {
+      "content": "[XXXXX678]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51127": {
+      "content": "[XXXXX19]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51128": {
+      "content": "[XXXXX1186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51129": {
+      "content": "[XXXXX808]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51130": {
+      "content": "[XXXXX493]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51131": {
+      "content": "[XXXXX1155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51132": {
+      "content": "[XXXXX217]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51133": {
+      "content": "[XXXXX616]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51134": {
+      "content": "[XXXXX835]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51135": {
+      "content": "[XXXXX994]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51136": {
+      "content": "[XXXXX484]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51137": {
+      "content": "[XXXXX362]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51138": {
+      "content": "[XXXXX582]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51139": {
+      "content": "[XXXXX1034]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51140": {
+      "content": "[XXXXX772]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51141": {
+      "content": "[XXXXX457]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51142": {
+      "content": "[XXXXX604]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51143": {
+      "content": "[XXXXX456]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51144": {
+      "content": "[XXXXX145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51145": {
+      "content": "[XXXXX476]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51146": {
+      "content": "[XXXXX218]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51147": {
+      "content": "[XXXXX199]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51148": {
+      "content": "[XXXXX364]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51149": {
+      "content": "[XXXXX302]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51150": {
+      "content": "[XXXXX881]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51151": {
+      "content": "[XXXXX1088]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51152": {
+      "content": "[XXXXX356]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51153": {
+      "content": "[XXXXX936]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51154": {
+      "content": "[XXXXX978]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51155": {
+      "content": "[XXXXX895]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51156": {
+      "content": "[XXXXX993]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51157": {
+      "content": "[XXXXX458]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51158": {
+      "content": "[XXXXX1002]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51159": {
+      "content": "[XXXXX1022]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51160": {
+      "content": "[XXXXX25]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51161": {
+      "content": "[XXXXX766]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51162": {
+      "content": "[XXXXX64]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51163": {
+      "content": "[XXXXX211]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51164": {
+      "content": "[XXXXX82]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51165": {
+      "content": "[XXXXX634]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51166": {
+      "content": "[XXXXX661]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51167": {
+      "content": "[XXXXX748]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51168": {
+      "content": "[XXXXX778]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51169": {
+      "content": "[XXXXX24]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51170": {
+      "content": "[XXXXX448]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51171": {
+      "content": "[XXXXX887]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51172": {
+      "content": "[XXXXX890]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51173": {
+      "content": "[XXXXX754]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51174": {
+      "content": "[XXXXX343]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51175": {
+      "content": "[XXXXX1069]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51176": {
+      "content": "[XXXXX294]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51177": {
+      "content": "[XXXXX295]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51178": {
+      "content": "[XXXXX197]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51179": {
+      "content": "[XXXXX210]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51180": {
+      "content": "[XXXXX630]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51181": {
+      "content": "[XXXXX707]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51182": {
+      "content": "[XXXXX864]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51183": {
+      "content": "[XXXXX391]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51184": {
+      "content": "[XXXXX338]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51185": {
+      "content": "[XXXXX800]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51186": {
+      "content": "[XXXXX841]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51187": {
+      "content": "[XXXXX967]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51188": {
+      "content": "[XXXXX793]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51189": {
+      "content": "[XXXXX916]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51190": {
+      "content": "[XXXXX603]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51191": {
+      "content": "[XXXXX270]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51192": {
+      "content": "[XXXXX105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51193": {
+      "content": "[XXXXX1016]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51194": {
+      "content": "[XXXXX804]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51195": {
+      "content": "[XXXXX264]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51196": {
+      "content": "[XXXXX155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51197": {
+      "content": "[XXXXX1190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51198": {
+      "content": "[XXXXX813]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51199": {
+      "content": "[XXXXX546]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "keep_accents": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}
diff --git a/checkpoint-12000/trainer_state.json b/checkpoint-12000/trainer_state.json
new file mode 100644
index 0000000..d3f7707
--- /dev/null
+++ b/checkpoint-12000/trainer_state.json
@@ -0,0 +1,24298 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 9.942004971002486,
+  "eval_steps": 500,
+  "global_step": 12000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "entropy": 7.218191003799438,
+      "epoch": 0.004142502071251036,
+      "grad_norm": 1.265625,
+      "learning_rate": 2e-06,
+      "loss": 6.8898,
+      "mean_token_accuracy": 0.08805170804262161,
+      "num_tokens": 9149.0,
+      "step": 5
+    },
+    {
+      "entropy": 7.191673707962036,
+      "epoch": 0.008285004142502071,
+      "grad_norm": 1.5078125,
+      "learning_rate": 4.5e-06,
+      "loss": 6.7268,
+      "mean_token_accuracy": 0.09304728880524635,
+      "num_tokens": 16800.0,
+      "step": 10
+    },
+    {
+      "entropy": 7.134524202346801,
+      "epoch": 0.012427506213753107,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7e-06,
+      "loss": 6.8905,
+      "mean_token_accuracy": 0.0921505056321621,
+      "num_tokens": 26617.0,
+      "step": 15
+    },
+    {
+      "entropy": 7.115550088882446,
+      "epoch": 0.016570008285004142,
+      "grad_norm": 1.25,
+      "learning_rate": 9.5e-06,
+      "loss": 6.8021,
+      "mean_token_accuracy": 0.09268744736909866,
+      "num_tokens": 35855.0,
+      "step": 20
+    },
+    {
+      "entropy": 7.12396879196167,
+      "epoch": 0.020712510356255178,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.2e-05,
+      "loss": 7.0094,
+      "mean_token_accuracy": 0.08752714470028877,
+      "num_tokens": 45644.0,
+      "step": 25
+    },
+    {
+      "entropy": 7.054446792602539,
+      "epoch": 0.024855012427506214,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.4500000000000002e-05,
+      "loss": 6.8922,
+      "mean_token_accuracy": 0.09398627206683159,
+      "num_tokens": 54641.0,
+      "step": 30
+    },
+    {
+      "entropy": 7.012255907058716,
+      "epoch": 0.02899751449875725,
+      "grad_norm": 1.0234375,
+      "learning_rate": 1.7000000000000003e-05,
+      "loss": 6.7519,
+      "mean_token_accuracy": 0.08958807587623596,
+      "num_tokens": 63924.0,
+      "step": 35
+    },
+    {
+      "entropy": 7.068031549453735,
+      "epoch": 0.033140016570008285,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.95e-05,
+      "loss": 6.89,
+      "mean_token_accuracy": 0.09437783882021904,
+      "num_tokens": 73452.0,
+      "step": 40
+    },
+    {
+      "entropy": 7.06072301864624,
+      "epoch": 0.037282518641259324,
+      "grad_norm": 1.0234375,
+      "learning_rate": 2.2e-05,
+      "loss": 6.9455,
+      "mean_token_accuracy": 0.0851291574537754,
+      "num_tokens": 82731.0,
+      "step": 45
+    },
+    {
+      "entropy": 7.090083169937134,
+      "epoch": 0.041425020712510356,
+      "grad_norm": 1.1015625,
+      "learning_rate": 2.4500000000000003e-05,
+      "loss": 6.7734,
+      "mean_token_accuracy": 0.09048294499516488,
+      "num_tokens": 92626.0,
+      "step": 50
+    },
+    {
+      "entropy": 7.149203157424926,
+      "epoch": 0.045567522783761395,
+      "grad_norm": 1.21875,
+      "learning_rate": 2.7e-05,
+      "loss": 6.9497,
+      "mean_token_accuracy": 0.08217904865741729,
+      "num_tokens": 101380.0,
+      "step": 55
+    },
+    {
+      "entropy": 7.119951963424683,
+      "epoch": 0.04971002485501243,
+      "grad_norm": 1.046875,
+      "learning_rate": 2.95e-05,
+      "loss": 6.8604,
+      "mean_token_accuracy": 0.09202293381094932,
+      "num_tokens": 109895.0,
+      "step": 60
+    },
+    {
+      "entropy": 7.2014998435974125,
+      "epoch": 0.053852526926263466,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.2e-05,
+      "loss": 6.8449,
+      "mean_token_accuracy": 0.09257669150829315,
+      "num_tokens": 119203.0,
+      "step": 65
+    },
+    {
+      "entropy": 7.1111664295196535,
+      "epoch": 0.0579950289975145,
+      "grad_norm": 1.1484375,
+      "learning_rate": 3.4500000000000005e-05,
+      "loss": 6.7903,
+      "mean_token_accuracy": 0.09657297283411026,
+      "num_tokens": 127572.0,
+      "step": 70
+    },
+    {
+      "entropy": 7.04930944442749,
+      "epoch": 0.06213753106876554,
+      "grad_norm": 1.03125,
+      "learning_rate": 3.7e-05,
+      "loss": 6.8304,
+      "mean_token_accuracy": 0.09063600301742554,
+      "num_tokens": 137161.0,
+      "step": 75
+    },
+    {
+      "entropy": 7.044711875915527,
+      "epoch": 0.06628003314001657,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.95e-05,
+      "loss": 6.9451,
+      "mean_token_accuracy": 0.08874713778495788,
+      "num_tokens": 145991.0,
+      "step": 80
+    },
+    {
+      "entropy": 7.130092525482178,
+      "epoch": 0.07042253521126761,
+      "grad_norm": 1.0546875,
+      "learning_rate": 4.2000000000000004e-05,
+      "loss": 6.8464,
+      "mean_token_accuracy": 0.08955071866512299,
+      "num_tokens": 154927.0,
+      "step": 85
+    },
+    {
+      "entropy": 7.090402746200562,
+      "epoch": 0.07456503728251865,
+      "grad_norm": 1.34375,
+      "learning_rate": 4.45e-05,
+      "loss": 6.7595,
+      "mean_token_accuracy": 0.09832768961787224,
+      "num_tokens": 163234.0,
+      "step": 90
+    },
+    {
+      "entropy": 7.08957576751709,
+      "epoch": 0.07870753935376967,
+      "grad_norm": 1.015625,
+      "learning_rate": 4.7000000000000004e-05,
+      "loss": 6.7163,
+      "mean_token_accuracy": 0.09379880875349045,
+      "num_tokens": 171554.0,
+      "step": 95
+    },
+    {
+      "entropy": 7.044517278671265,
+      "epoch": 0.08285004142502071,
+      "grad_norm": 1.1328125,
+      "learning_rate": 4.9500000000000004e-05,
+      "loss": 6.8173,
+      "mean_token_accuracy": 0.0955286517739296,
+      "num_tokens": 180171.0,
+      "step": 100
+    },
+    {
+      "entropy": 7.050950908660889,
+      "epoch": 0.08699254349627175,
+      "grad_norm": 1.0859375,
+      "learning_rate": 5.2e-05,
+      "loss": 6.761,
+      "mean_token_accuracy": 0.09741089940071106,
+      "num_tokens": 189216.0,
+      "step": 105
+    },
+    {
+      "entropy": 7.173562717437744,
+      "epoch": 0.09113504556752279,
+      "grad_norm": 1.015625,
+      "learning_rate": 5.45e-05,
+      "loss": 6.9519,
+      "mean_token_accuracy": 0.08675800338387489,
+      "num_tokens": 200022.0,
+      "step": 110
+    },
+    {
+      "entropy": 7.183744478225708,
+      "epoch": 0.09527754763877382,
+      "grad_norm": 1.2265625,
+      "learning_rate": 5.7e-05,
+      "loss": 6.8642,
+      "mean_token_accuracy": 0.09210581332445145,
+      "num_tokens": 208686.0,
+      "step": 115
+    },
+    {
+      "entropy": 7.121539115905762,
+      "epoch": 0.09942004971002485,
+      "grad_norm": 1.1875,
+      "learning_rate": 5.9499999999999996e-05,
+      "loss": 6.8829,
+      "mean_token_accuracy": 0.09462191313505172,
+      "num_tokens": 218266.0,
+      "step": 120
+    },
+    {
+      "entropy": 7.006736946105957,
+      "epoch": 0.1035625517812759,
+      "grad_norm": 1.046875,
+      "learning_rate": 6.2e-05,
+      "loss": 6.7523,
+      "mean_token_accuracy": 0.08771666437387467,
+      "num_tokens": 227658.0,
+      "step": 125
+    },
+    {
+      "entropy": 7.040027761459351,
+      "epoch": 0.10770505385252693,
+      "grad_norm": 1.1015625,
+      "learning_rate": 6.450000000000001e-05,
+      "loss": 6.7014,
+      "mean_token_accuracy": 0.1004502885043621,
+      "num_tokens": 236301.0,
+      "step": 130
+    },
+    {
+      "entropy": 7.106470441818237,
+      "epoch": 0.11184755592377796,
+      "grad_norm": 1.1171875,
+      "learning_rate": 6.7e-05,
+      "loss": 6.8424,
+      "mean_token_accuracy": 0.08812138065695763,
+      "num_tokens": 246355.0,
+      "step": 135
+    },
+    {
+      "entropy": 7.174679756164551,
+      "epoch": 0.115990057995029,
+      "grad_norm": 1.15625,
+      "learning_rate": 6.950000000000001e-05,
+      "loss": 6.8174,
+      "mean_token_accuracy": 0.0924198254942894,
+      "num_tokens": 256023.0,
+      "step": 140
+    },
+    {
+      "entropy": 7.10174069404602,
+      "epoch": 0.12013256006628004,
+      "grad_norm": 0.9921875,
+      "learning_rate": 7.2e-05,
+      "loss": 6.9036,
+      "mean_token_accuracy": 0.08638993799686431,
+      "num_tokens": 266893.0,
+      "step": 145
+    },
+    {
+      "entropy": 7.019921684265137,
+      "epoch": 0.12427506213753108,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7.45e-05,
+      "loss": 6.6606,
+      "mean_token_accuracy": 0.08872481286525727,
+      "num_tokens": 276075.0,
+      "step": 150
+    },
+    {
+      "entropy": 7.042754888534546,
+      "epoch": 0.12841756420878211,
+      "grad_norm": 1.25,
+      "learning_rate": 7.7e-05,
+      "loss": 6.7532,
+      "mean_token_accuracy": 0.09296932220458984,
+      "num_tokens": 285529.0,
+      "step": 155
+    },
+    {
+      "entropy": 7.064399909973145,
+      "epoch": 0.13256006628003314,
+      "grad_norm": 1.15625,
+      "learning_rate": 7.950000000000001e-05,
+      "loss": 6.762,
+      "mean_token_accuracy": 0.09406789913773536,
+      "num_tokens": 294403.0,
+      "step": 160
+    },
+    {
+      "entropy": 7.152362823486328,
+      "epoch": 0.13670256835128416,
+      "grad_norm": 1.28125,
+      "learning_rate": 8.2e-05,
+      "loss": 6.8553,
+      "mean_token_accuracy": 0.09358441680669785,
+      "num_tokens": 303507.0,
+      "step": 165
+    },
+    {
+      "entropy": 7.071487474441528,
+      "epoch": 0.14084507042253522,
+      "grad_norm": 1.21875,
+      "learning_rate": 8.450000000000001e-05,
+      "loss": 6.7534,
+      "mean_token_accuracy": 0.09645206108689308,
+      "num_tokens": 312393.0,
+      "step": 170
+    },
+    {
+      "entropy": 6.956210470199585,
+      "epoch": 0.14498757249378624,
+      "grad_norm": 1.0859375,
+      "learning_rate": 8.7e-05,
+      "loss": 6.7226,
+      "mean_token_accuracy": 0.09953253641724587,
+      "num_tokens": 321309.0,
+      "step": 175
+    },
+    {
+      "entropy": 7.2200812816619875,
+      "epoch": 0.1491300745650373,
+      "grad_norm": 1.1328125,
+      "learning_rate": 8.95e-05,
+      "loss": 6.7879,
+      "mean_token_accuracy": 0.09582221284508705,
+      "num_tokens": 330217.0,
+      "step": 180
+    },
+    {
+      "entropy": 6.964824962615967,
+      "epoch": 0.15327257663628832,
+      "grad_norm": 1.2109375,
+      "learning_rate": 9.2e-05,
+      "loss": 6.8296,
+      "mean_token_accuracy": 0.09584516286849976,
+      "num_tokens": 339587.0,
+      "step": 185
+    },
+    {
+      "entropy": 7.104565525054932,
+      "epoch": 0.15741507870753935,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.45e-05,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.09563353508710862,
+      "num_tokens": 349367.0,
+      "step": 190
+    },
+    {
+      "entropy": 6.90956711769104,
+      "epoch": 0.1615575807787904,
+      "grad_norm": 1.1953125,
+      "learning_rate": 9.7e-05,
+      "loss": 6.6535,
+      "mean_token_accuracy": 0.09533214569091797,
+      "num_tokens": 358272.0,
+      "step": 195
+    },
+    {
+      "entropy": 7.184430170059204,
+      "epoch": 0.16570008285004142,
+      "grad_norm": 1.1875,
+      "learning_rate": 9.95e-05,
+      "loss": 6.8847,
+      "mean_token_accuracy": 0.09342379868030548,
+      "num_tokens": 367709.0,
+      "step": 200
+    },
+    {
+      "entropy": 7.108258152008057,
+      "epoch": 0.16984258492129245,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000102,
+      "loss": 6.7363,
+      "mean_token_accuracy": 0.09321728497743606,
+      "num_tokens": 376180.0,
+      "step": 205
+    },
+    {
+      "entropy": 7.143853282928466,
+      "epoch": 0.1739850869925435,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00010449999999999999,
+      "loss": 6.8927,
+      "mean_token_accuracy": 0.08639989122748375,
+      "num_tokens": 385636.0,
+      "step": 210
+    },
+    {
+      "entropy": 7.005528688430786,
+      "epoch": 0.17812758906379453,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000107,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.10387283116579056,
+      "num_tokens": 394486.0,
+      "step": 215
+    },
+    {
+      "entropy": 7.066776275634766,
+      "epoch": 0.18227009113504558,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0001095,
+      "loss": 6.7286,
+      "mean_token_accuracy": 0.09739693626761436,
+      "num_tokens": 403765.0,
+      "step": 220
+    },
+    {
+      "entropy": 6.9391695022583,
+      "epoch": 0.1864125932062966,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000112,
+      "loss": 6.7198,
+      "mean_token_accuracy": 0.09883175939321517,
+      "num_tokens": 412988.0,
+      "step": 225
+    },
+    {
+      "entropy": 7.029045248031617,
+      "epoch": 0.19055509527754763,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0001145,
+      "loss": 6.6219,
+      "mean_token_accuracy": 0.09850638806819915,
+      "num_tokens": 422096.0,
+      "step": 230
+    },
+    {
+      "entropy": 7.055552911758423,
+      "epoch": 0.19469759734879868,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011700000000000001,
+      "loss": 6.7907,
+      "mean_token_accuracy": 0.08912368193268776,
+      "num_tokens": 431333.0,
+      "step": 235
+    },
+    {
+      "entropy": 7.076433277130127,
+      "epoch": 0.1988400994200497,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00011949999999999999,
+      "loss": 6.825,
+      "mean_token_accuracy": 0.0998022735118866,
+      "num_tokens": 440382.0,
+      "step": 240
+    },
+    {
+      "entropy": 7.098494958877564,
+      "epoch": 0.20298260149130073,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000122,
+      "loss": 6.7184,
+      "mean_token_accuracy": 0.1035430908203125,
+      "num_tokens": 448469.0,
+      "step": 245
+    },
+    {
+      "entropy": 7.065437746047974,
+      "epoch": 0.2071251035625518,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001245,
+      "loss": 6.7562,
+      "mean_token_accuracy": 0.0973759837448597,
+      "num_tokens": 457356.0,
+      "step": 250
+    },
+    {
+      "entropy": 7.103154182434082,
+      "epoch": 0.2112676056338028,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000127,
+      "loss": 6.7821,
+      "mean_token_accuracy": 0.09721289053559304,
+      "num_tokens": 465928.0,
+      "step": 255
+    },
+    {
+      "entropy": 6.99681601524353,
+      "epoch": 0.21541010770505387,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0001295,
+      "loss": 6.6931,
+      "mean_token_accuracy": 0.09931288808584213,
+      "num_tokens": 475269.0,
+      "step": 260
+    },
+    {
+      "entropy": 6.960800266265869,
+      "epoch": 0.2195526097763049,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000132,
+      "loss": 6.679,
+      "mean_token_accuracy": 0.09512786641716957,
+      "num_tokens": 485450.0,
+      "step": 265
+    },
+    {
+      "entropy": 7.0514568328857425,
+      "epoch": 0.22369511184755592,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00013450000000000002,
+      "loss": 6.7347,
+      "mean_token_accuracy": 0.10228226557374001,
+      "num_tokens": 494029.0,
+      "step": 270
+    },
+    {
+      "entropy": 6.9516912460327145,
+      "epoch": 0.22783761391880697,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013700000000000002,
+      "loss": 6.676,
+      "mean_token_accuracy": 0.10202871784567832,
+      "num_tokens": 503253.0,
+      "step": 275
+    },
+    {
+      "entropy": 7.018160057067871,
+      "epoch": 0.231980115990058,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0001395,
+      "loss": 6.6685,
+      "mean_token_accuracy": 0.09529435187578202,
+      "num_tokens": 512857.0,
+      "step": 280
+    },
+    {
+      "entropy": 6.9714985370635985,
+      "epoch": 0.23612261806130902,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00014199999999999998,
+      "loss": 6.7719,
+      "mean_token_accuracy": 0.09288227260112762,
+      "num_tokens": 522319.0,
+      "step": 285
+    },
+    {
+      "entropy": 7.113205528259277,
+      "epoch": 0.24026512013256007,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0001445,
+      "loss": 6.7224,
+      "mean_token_accuracy": 0.09471780881285667,
+      "num_tokens": 531469.0,
+      "step": 290
+    },
+    {
+      "entropy": 6.976934480667114,
+      "epoch": 0.2444076222038111,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000147,
+      "loss": 6.756,
+      "mean_token_accuracy": 0.09480062946677208,
+      "num_tokens": 540470.0,
+      "step": 295
+    },
+    {
+      "entropy": 7.011937475204467,
+      "epoch": 0.24855012427506215,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0001495,
+      "loss": 6.7584,
+      "mean_token_accuracy": 0.09700122326612473,
+      "num_tokens": 550317.0,
+      "step": 300
+    },
+    {
+      "entropy": 7.0365160465240475,
+      "epoch": 0.2526926263463132,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000152,
+      "loss": 6.7067,
+      "mean_token_accuracy": 0.09434132501482964,
+      "num_tokens": 559409.0,
+      "step": 305
+    },
+    {
+      "entropy": 6.928857326507568,
+      "epoch": 0.25683512841756423,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00015450000000000001,
+      "loss": 6.768,
+      "mean_token_accuracy": 0.10764710158109665,
+      "num_tokens": 568726.0,
+      "step": 310
+    },
+    {
+      "entropy": 7.103991413116455,
+      "epoch": 0.2609776304888152,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000157,
+      "loss": 6.7179,
+      "mean_token_accuracy": 0.0976541943848133,
+      "num_tokens": 577926.0,
+      "step": 315
+    },
+    {
+      "entropy": 7.047203779220581,
+      "epoch": 0.2651201325600663,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001595,
+      "loss": 6.7448,
+      "mean_token_accuracy": 0.09809661954641342,
+      "num_tokens": 586695.0,
+      "step": 320
+    },
+    {
+      "entropy": 7.039609956741333,
+      "epoch": 0.26926263463131733,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000162,
+      "loss": 6.771,
+      "mean_token_accuracy": 0.0949723981320858,
+      "num_tokens": 596250.0,
+      "step": 325
+    },
+    {
+      "entropy": 7.063632202148438,
+      "epoch": 0.27340513670256833,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00016450000000000001,
+      "loss": 6.8221,
+      "mean_token_accuracy": 0.09051206335425377,
+      "num_tokens": 605761.0,
+      "step": 330
+    },
+    {
+      "entropy": 7.019326877593994,
+      "epoch": 0.2775476387738194,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00016700000000000002,
+      "loss": 6.7365,
+      "mean_token_accuracy": 0.09872144013643265,
+      "num_tokens": 614313.0,
+      "step": 335
+    },
+    {
+      "entropy": 7.037422132492066,
+      "epoch": 0.28169014084507044,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00016950000000000003,
+      "loss": 6.7692,
+      "mean_token_accuracy": 0.09455474764108658,
+      "num_tokens": 624470.0,
+      "step": 340
+    },
+    {
+      "entropy": 7.039082098007202,
+      "epoch": 0.28583264291632143,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00017199999999999998,
+      "loss": 6.6843,
+      "mean_token_accuracy": 0.09269843101501465,
+      "num_tokens": 633458.0,
+      "step": 345
+    },
+    {
+      "entropy": 6.942268037796021,
+      "epoch": 0.2899751449875725,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00017449999999999999,
+      "loss": 6.6939,
+      "mean_token_accuracy": 0.09877684414386749,
+      "num_tokens": 643251.0,
+      "step": 350
+    },
+    {
+      "entropy": 6.99584732055664,
+      "epoch": 0.29411764705882354,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000177,
+      "loss": 6.7635,
+      "mean_token_accuracy": 0.09713540598750114,
+      "num_tokens": 652005.0,
+      "step": 355
+    },
+    {
+      "entropy": 7.006586170196533,
+      "epoch": 0.2982601491300746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0001795,
+      "loss": 6.6575,
+      "mean_token_accuracy": 0.10120807588100433,
+      "num_tokens": 661003.0,
+      "step": 360
+    },
+    {
+      "entropy": 6.874996137619019,
+      "epoch": 0.3024026512013256,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000182,
+      "loss": 6.6294,
+      "mean_token_accuracy": 0.09844254851341247,
+      "num_tokens": 670221.0,
+      "step": 365
+    },
+    {
+      "entropy": 7.155635738372803,
+      "epoch": 0.30654515327257664,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001845,
+      "loss": 6.9236,
+      "mean_token_accuracy": 0.0882349319756031,
+      "num_tokens": 680756.0,
+      "step": 370
+    },
+    {
+      "entropy": 6.94540753364563,
+      "epoch": 0.3106876553438277,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000187,
+      "loss": 6.6157,
+      "mean_token_accuracy": 0.10289054960012436,
+      "num_tokens": 689641.0,
+      "step": 375
+    },
+    {
+      "entropy": 6.87992377281189,
+      "epoch": 0.3148301574150787,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001895,
+      "loss": 6.5696,
+      "mean_token_accuracy": 0.09839320331811904,
+      "num_tokens": 698209.0,
+      "step": 380
+    },
+    {
+      "entropy": 6.823869276046753,
+      "epoch": 0.31897265948632975,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000192,
+      "loss": 6.5736,
+      "mean_token_accuracy": 0.10355777889490128,
+      "num_tokens": 706712.0,
+      "step": 385
+    },
+    {
+      "entropy": 7.037634468078613,
+      "epoch": 0.3231151615575808,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0001945,
+      "loss": 6.8017,
+      "mean_token_accuracy": 0.09728012606501579,
+      "num_tokens": 716087.0,
+      "step": 390
+    },
+    {
+      "entropy": 6.911249494552612,
+      "epoch": 0.3272576636288318,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00019700000000000002,
+      "loss": 6.6465,
+      "mean_token_accuracy": 0.09347675815224647,
+      "num_tokens": 725913.0,
+      "step": 395
+    },
+    {
+      "entropy": 6.944440317153931,
+      "epoch": 0.33140016570008285,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019950000000000002,
+      "loss": 6.7201,
+      "mean_token_accuracy": 0.10362306237220764,
+      "num_tokens": 735020.0,
+      "step": 400
+    },
+    {
+      "entropy": 6.985636854171753,
+      "epoch": 0.3355426677713339,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000202,
+      "loss": 6.6216,
+      "mean_token_accuracy": 0.09469136893749237,
+      "num_tokens": 744299.0,
+      "step": 405
+    },
+    {
+      "entropy": 6.883630275726318,
+      "epoch": 0.3396851698425849,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00020449999999999998,
+      "loss": 6.6099,
+      "mean_token_accuracy": 0.09694516137242318,
+      "num_tokens": 753231.0,
+      "step": 410
+    },
+    {
+      "entropy": 6.825357389450073,
+      "epoch": 0.34382767191383595,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000207,
+      "loss": 6.6717,
+      "mean_token_accuracy": 0.10230854973196983,
+      "num_tokens": 763043.0,
+      "step": 415
+    },
+    {
+      "entropy": 7.016851997375488,
+      "epoch": 0.347970173985087,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0002095,
+      "loss": 6.6905,
+      "mean_token_accuracy": 0.09913048222661018,
+      "num_tokens": 771977.0,
+      "step": 420
+    },
+    {
+      "entropy": 6.820244407653808,
+      "epoch": 0.352112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000212,
+      "loss": 6.6243,
+      "mean_token_accuracy": 0.1011092983186245,
+      "num_tokens": 780285.0,
+      "step": 425
+    },
+    {
+      "entropy": 6.956075525283813,
+      "epoch": 0.35625517812758906,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002145,
+      "loss": 6.6593,
+      "mean_token_accuracy": 0.09649045094847679,
+      "num_tokens": 789980.0,
+      "step": 430
+    },
+    {
+      "entropy": 6.984846019744873,
+      "epoch": 0.3603976801988401,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021700000000000002,
+      "loss": 6.6275,
+      "mean_token_accuracy": 0.10474459528923034,
+      "num_tokens": 798700.0,
+      "step": 435
+    },
+    {
+      "entropy": 6.767291498184204,
+      "epoch": 0.36454018227009116,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002195,
+      "loss": 6.7208,
+      "mean_token_accuracy": 0.09600067660212516,
+      "num_tokens": 808758.0,
+      "step": 440
+    },
+    {
+      "entropy": 7.046369791030884,
+      "epoch": 0.36868268434134216,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000222,
+      "loss": 6.6666,
+      "mean_token_accuracy": 0.10458802133798599,
+      "num_tokens": 817692.0,
+      "step": 445
+    },
+    {
+      "entropy": 6.95425066947937,
+      "epoch": 0.3728251864125932,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002245,
+      "loss": 6.7146,
+      "mean_token_accuracy": 0.10474570766091347,
+      "num_tokens": 827052.0,
+      "step": 450
+    },
+    {
+      "entropy": 6.895345544815063,
+      "epoch": 0.37696768848384427,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00022700000000000002,
+      "loss": 6.7139,
+      "mean_token_accuracy": 0.1091882586479187,
+      "num_tokens": 836442.0,
+      "step": 455
+    },
+    {
+      "entropy": 6.922871923446655,
+      "epoch": 0.38111019055509526,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00022950000000000002,
+      "loss": 6.5775,
+      "mean_token_accuracy": 0.10118989571928978,
+      "num_tokens": 846441.0,
+      "step": 460
+    },
+    {
+      "entropy": 6.8815388679504395,
+      "epoch": 0.3852526926263463,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00023200000000000003,
+      "loss": 6.6215,
+      "mean_token_accuracy": 0.10475475937128068,
+      "num_tokens": 856108.0,
+      "step": 465
+    },
+    {
+      "entropy": 6.848587274551392,
+      "epoch": 0.38939519469759737,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00023449999999999998,
+      "loss": 6.5833,
+      "mean_token_accuracy": 0.10137399956583977,
+      "num_tokens": 865788.0,
+      "step": 470
+    },
+    {
+      "entropy": 6.886804008483887,
+      "epoch": 0.39353769676884837,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000237,
+      "loss": 6.6302,
+      "mean_token_accuracy": 0.09514767676591873,
+      "num_tokens": 874833.0,
+      "step": 475
+    },
+    {
+      "entropy": 6.751422643661499,
+      "epoch": 0.3976801988400994,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002395,
+      "loss": 6.5997,
+      "mean_token_accuracy": 0.10276172533631325,
+      "num_tokens": 883685.0,
+      "step": 480
+    },
+    {
+      "entropy": 6.881311464309692,
+      "epoch": 0.40182270091135047,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000242,
+      "loss": 6.6001,
+      "mean_token_accuracy": 0.09796027019619942,
+      "num_tokens": 893908.0,
+      "step": 485
+    },
+    {
+      "entropy": 6.934821891784668,
+      "epoch": 0.40596520298260147,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002445,
+      "loss": 6.7142,
+      "mean_token_accuracy": 0.09827135354280472,
+      "num_tokens": 903081.0,
+      "step": 490
+    },
+    {
+      "entropy": 6.7868632793426515,
+      "epoch": 0.4101077050538525,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000247,
+      "loss": 6.5522,
+      "mean_token_accuracy": 0.10336750745773315,
+      "num_tokens": 912515.0,
+      "step": 495
+    },
+    {
+      "entropy": 6.886235475540161,
+      "epoch": 0.4142502071251036,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002495,
+      "loss": 6.5797,
+      "mean_token_accuracy": 0.1070313923060894,
+      "num_tokens": 921056.0,
+      "step": 500
+    },
+    {
+      "epoch": 0.4142502071251036,
+      "eval_entropy": 6.836038604728194,
+      "eval_loss": 6.684774875640869,
+      "eval_mean_token_accuracy": 0.10272799217021034,
+      "eval_num_tokens": 921056.0,
+      "eval_runtime": 2.7891,
+      "eval_samples_per_second": 1343.421,
+      "eval_steps_per_second": 168.152,
+      "step": 500
+    },
+    {
+      "entropy": 6.7657403469085695,
+      "epoch": 0.4183927091963546,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000252,
+      "loss": 6.5317,
+      "mean_token_accuracy": 0.10417452603578567,
+      "num_tokens": 931112.0,
+      "step": 505
+    },
+    {
+      "entropy": 6.821895503997803,
+      "epoch": 0.4225352112676056,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0002545,
+      "loss": 6.6605,
+      "mean_token_accuracy": 0.0978618748486042,
+      "num_tokens": 941120.0,
+      "step": 510
+    },
+    {
+      "entropy": 6.886211729049682,
+      "epoch": 0.4266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000257,
+      "loss": 6.6044,
+      "mean_token_accuracy": 0.09737976416945457,
+      "num_tokens": 950041.0,
+      "step": 515
+    },
+    {
+      "entropy": 6.879851579666138,
+      "epoch": 0.43082021541010773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002595,
+      "loss": 6.5907,
+      "mean_token_accuracy": 0.10606569275259972,
+      "num_tokens": 958608.0,
+      "step": 520
+    },
+    {
+      "entropy": 6.886484861373901,
+      "epoch": 0.43496271748135873,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.000262,
+      "loss": 6.7158,
+      "mean_token_accuracy": 0.09990910813212395,
+      "num_tokens": 966901.0,
+      "step": 525
+    },
+    {
+      "entropy": 6.767313003540039,
+      "epoch": 0.4391052195526098,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026450000000000003,
+      "loss": 6.5504,
+      "mean_token_accuracy": 0.10768762230873108,
+      "num_tokens": 976198.0,
+      "step": 530
+    },
+    {
+      "entropy": 6.892781782150268,
+      "epoch": 0.44324772162386084,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026700000000000004,
+      "loss": 6.624,
+      "mean_token_accuracy": 0.09861580505967141,
+      "num_tokens": 985248.0,
+      "step": 535
+    },
+    {
+      "entropy": 6.772344255447388,
+      "epoch": 0.44739022369511183,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00026950000000000005,
+      "loss": 6.5014,
+      "mean_token_accuracy": 0.1071978710591793,
+      "num_tokens": 993289.0,
+      "step": 540
+    },
+    {
+      "entropy": 6.820696449279785,
+      "epoch": 0.4515327257663629,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027200000000000005,
+      "loss": 6.5909,
+      "mean_token_accuracy": 0.10533165782690049,
+      "num_tokens": 1001784.0,
+      "step": 545
+    },
+    {
+      "entropy": 6.935409688949585,
+      "epoch": 0.45567522783761394,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002745,
+      "loss": 6.5627,
+      "mean_token_accuracy": 0.10804210156202317,
+      "num_tokens": 1010445.0,
+      "step": 550
+    },
+    {
+      "entropy": 6.745790100097656,
+      "epoch": 0.45981772990886494,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000277,
+      "loss": 6.6184,
+      "mean_token_accuracy": 0.10709234476089477,
+      "num_tokens": 1019084.0,
+      "step": 555
+    },
+    {
+      "entropy": 6.7490733623504635,
+      "epoch": 0.463960231980116,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002795,
+      "loss": 6.5249,
+      "mean_token_accuracy": 0.10461713373661041,
+      "num_tokens": 1027263.0,
+      "step": 560
+    },
+    {
+      "entropy": 6.876884937286377,
+      "epoch": 0.46810273405136704,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00028199999999999997,
+      "loss": 6.6233,
+      "mean_token_accuracy": 0.09752989709377288,
+      "num_tokens": 1036275.0,
+      "step": 565
+    },
+    {
+      "entropy": 6.765736055374146,
+      "epoch": 0.47224523612261804,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002845,
+      "loss": 6.7015,
+      "mean_token_accuracy": 0.09858408868312836,
+      "num_tokens": 1045208.0,
+      "step": 570
+    },
+    {
+      "entropy": 6.9024957656860355,
+      "epoch": 0.4763877381938691,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000287,
+      "loss": 6.6287,
+      "mean_token_accuracy": 0.1026283286511898,
+      "num_tokens": 1054703.0,
+      "step": 575
+    },
+    {
+      "entropy": 6.647345924377442,
+      "epoch": 0.48053024026512015,
+      "grad_norm": 1.5,
+      "learning_rate": 0.0002895,
+      "loss": 6.4841,
+      "mean_token_accuracy": 0.10212503597140313,
+      "num_tokens": 1063652.0,
+      "step": 580
+    },
+    {
+      "entropy": 6.717900657653809,
+      "epoch": 0.48467274233637114,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000292,
+      "loss": 6.5873,
+      "mean_token_accuracy": 0.10145951434969902,
+      "num_tokens": 1072070.0,
+      "step": 585
+    },
+    {
+      "entropy": 6.997959756851197,
+      "epoch": 0.4888152444076222,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002945,
+      "loss": 6.6143,
+      "mean_token_accuracy": 0.10064447894692422,
+      "num_tokens": 1079992.0,
+      "step": 590
+    },
+    {
+      "entropy": 6.657160854339599,
+      "epoch": 0.49295774647887325,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000297,
+      "loss": 6.628,
+      "mean_token_accuracy": 0.10435748845338821,
+      "num_tokens": 1088862.0,
+      "step": 595
+    },
+    {
+      "entropy": 6.773271942138672,
+      "epoch": 0.4971002485501243,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002995,
+      "loss": 6.4317,
+      "mean_token_accuracy": 0.10795770138502121,
+      "num_tokens": 1097614.0,
+      "step": 600
+    },
+    {
+      "entropy": 6.7102379322052,
+      "epoch": 0.5012427506213754,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000302,
+      "loss": 6.6288,
+      "mean_token_accuracy": 0.10706980749964715,
+      "num_tokens": 1107347.0,
+      "step": 605
+    },
+    {
+      "entropy": 6.8672473430633545,
+      "epoch": 0.5053852526926264,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003045,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10073774978518486,
+      "num_tokens": 1116707.0,
+      "step": 610
+    },
+    {
+      "entropy": 6.764383840560913,
+      "epoch": 0.5095277547638773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000307,
+      "loss": 6.6549,
+      "mean_token_accuracy": 0.10234303548932075,
+      "num_tokens": 1126356.0,
+      "step": 615
+    },
+    {
+      "entropy": 6.787193298339844,
+      "epoch": 0.5136702568351285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003095,
+      "loss": 6.5847,
+      "mean_token_accuracy": 0.10079671740531922,
+      "num_tokens": 1136281.0,
+      "step": 620
+    },
+    {
+      "entropy": 6.713733196258545,
+      "epoch": 0.5178127589063795,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000312,
+      "loss": 6.5355,
+      "mean_token_accuracy": 0.10429632142186165,
+      "num_tokens": 1145466.0,
+      "step": 625
+    },
+    {
+      "entropy": 6.7503923892974855,
+      "epoch": 0.5219552609776305,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003145,
+      "loss": 6.5409,
+      "mean_token_accuracy": 0.10918259546160698,
+      "num_tokens": 1154225.0,
+      "step": 630
+    },
+    {
+      "entropy": 6.761834907531738,
+      "epoch": 0.5260977630488816,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000317,
+      "loss": 6.5885,
+      "mean_token_accuracy": 0.09673135951161385,
+      "num_tokens": 1163872.0,
+      "step": 635
+    },
+    {
+      "entropy": 6.69431324005127,
+      "epoch": 0.5302402651201326,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003195,
+      "loss": 6.5244,
+      "mean_token_accuracy": 0.10705070868134499,
+      "num_tokens": 1172695.0,
+      "step": 640
+    },
+    {
+      "entropy": 6.651590061187744,
+      "epoch": 0.5343827671913836,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000322,
+      "loss": 6.3962,
+      "mean_token_accuracy": 0.11006554961204529,
+      "num_tokens": 1181291.0,
+      "step": 645
+    },
+    {
+      "entropy": 6.782713270187378,
+      "epoch": 0.5385252692626347,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00032450000000000003,
+      "loss": 6.5715,
+      "mean_token_accuracy": 0.10394523739814758,
+      "num_tokens": 1189927.0,
+      "step": 650
+    },
+    {
+      "entropy": 6.705166435241699,
+      "epoch": 0.5426677713338857,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00032700000000000003,
+      "loss": 6.5043,
+      "mean_token_accuracy": 0.10940467119216919,
+      "num_tokens": 1197913.0,
+      "step": 655
+    },
+    {
+      "entropy": 6.670699262619019,
+      "epoch": 0.5468102734051367,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032950000000000004,
+      "loss": 6.4309,
+      "mean_token_accuracy": 0.11147961542010307,
+      "num_tokens": 1207032.0,
+      "step": 660
+    },
+    {
+      "entropy": 6.640204334259034,
+      "epoch": 0.5509527754763878,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00033200000000000005,
+      "loss": 6.5397,
+      "mean_token_accuracy": 0.10571447387337685,
+      "num_tokens": 1215710.0,
+      "step": 665
+    },
+    {
+      "entropy": 6.694819068908691,
+      "epoch": 0.5550952775476388,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033450000000000005,
+      "loss": 6.52,
+      "mean_token_accuracy": 0.10049431845545768,
+      "num_tokens": 1225619.0,
+      "step": 670
+    },
+    {
+      "entropy": 6.649594163894653,
+      "epoch": 0.5592377796188898,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000337,
+      "loss": 6.4407,
+      "mean_token_accuracy": 0.11157044768333435,
+      "num_tokens": 1235000.0,
+      "step": 675
+    },
+    {
+      "entropy": 6.612611961364746,
+      "epoch": 0.5633802816901409,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003395,
+      "loss": 6.4462,
+      "mean_token_accuracy": 0.108580531924963,
+      "num_tokens": 1243594.0,
+      "step": 680
+    },
+    {
+      "entropy": 6.843221950531006,
+      "epoch": 0.5675227837613919,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000342,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10460855960845947,
+      "num_tokens": 1252279.0,
+      "step": 685
+    },
+    {
+      "entropy": 6.760235929489136,
+      "epoch": 0.5716652858326429,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034449999999999997,
+      "loss": 6.559,
+      "mean_token_accuracy": 0.10665302500128745,
+      "num_tokens": 1261314.0,
+      "step": 690
+    },
+    {
+      "entropy": 6.55326566696167,
+      "epoch": 0.575807787903894,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000347,
+      "loss": 6.4337,
+      "mean_token_accuracy": 0.11188110187649727,
+      "num_tokens": 1270854.0,
+      "step": 695
+    },
+    {
+      "entropy": 6.618375587463379,
+      "epoch": 0.579950289975145,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003495,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.11392810270190239,
+      "num_tokens": 1279183.0,
+      "step": 700
+    },
+    {
+      "entropy": 6.626208257675171,
+      "epoch": 0.584092792046396,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000352,
+      "loss": 6.5015,
+      "mean_token_accuracy": 0.10761247500777245,
+      "num_tokens": 1288347.0,
+      "step": 705
+    },
+    {
+      "entropy": 6.6855669021606445,
+      "epoch": 0.5882352941176471,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003545,
+      "loss": 6.5036,
+      "mean_token_accuracy": 0.10823310390114785,
+      "num_tokens": 1297449.0,
+      "step": 710
+    },
+    {
+      "entropy": 6.710147094726563,
+      "epoch": 0.5923777961888981,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000357,
+      "loss": 6.4688,
+      "mean_token_accuracy": 0.10904998034238815,
+      "num_tokens": 1306232.0,
+      "step": 715
+    },
+    {
+      "entropy": 6.6553794860839846,
+      "epoch": 0.5965202982601492,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003595,
+      "loss": 6.4857,
+      "mean_token_accuracy": 0.11109372302889824,
+      "num_tokens": 1315073.0,
+      "step": 720
+    },
+    {
+      "entropy": 6.674065732955933,
+      "epoch": 0.6006628003314002,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000362,
+      "loss": 6.5301,
+      "mean_token_accuracy": 0.10648825243115426,
+      "num_tokens": 1324629.0,
+      "step": 725
+    },
+    {
+      "entropy": 6.700368881225586,
+      "epoch": 0.6048053024026512,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0003645,
+      "loss": 6.6444,
+      "mean_token_accuracy": 0.10443340390920638,
+      "num_tokens": 1334152.0,
+      "step": 730
+    },
+    {
+      "entropy": 6.779498624801636,
+      "epoch": 0.6089478044739023,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000367,
+      "loss": 6.5946,
+      "mean_token_accuracy": 0.10130336955189705,
+      "num_tokens": 1343063.0,
+      "step": 735
+    },
+    {
+      "entropy": 6.684298419952393,
+      "epoch": 0.6130903065451533,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0003695,
+      "loss": 6.5241,
+      "mean_token_accuracy": 0.10516620799899101,
+      "num_tokens": 1352632.0,
+      "step": 740
+    },
+    {
+      "entropy": 6.582866573333741,
+      "epoch": 0.6172328086164043,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000372,
+      "loss": 6.4712,
+      "mean_token_accuracy": 0.10765027329325676,
+      "num_tokens": 1361103.0,
+      "step": 745
+    },
+    {
+      "entropy": 6.643687963485718,
+      "epoch": 0.6213753106876554,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003745,
+      "loss": 6.4642,
+      "mean_token_accuracy": 0.10832677409052849,
+      "num_tokens": 1370658.0,
+      "step": 750
+    },
+    {
+      "entropy": 6.64506516456604,
+      "epoch": 0.6255178127589064,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000377,
+      "loss": 6.4878,
+      "mean_token_accuracy": 0.10808288529515267,
+      "num_tokens": 1379817.0,
+      "step": 755
+    },
+    {
+      "entropy": 6.640752458572388,
+      "epoch": 0.6296603148301574,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003795,
+      "loss": 6.4418,
+      "mean_token_accuracy": 0.10874675288796425,
+      "num_tokens": 1389329.0,
+      "step": 760
+    },
+    {
+      "entropy": 6.4627049446105955,
+      "epoch": 0.6338028169014085,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000382,
+      "loss": 6.4902,
+      "mean_token_accuracy": 0.10606684386730195,
+      "num_tokens": 1399279.0,
+      "step": 765
+    },
+    {
+      "entropy": 6.621781063079834,
+      "epoch": 0.6379453189726595,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003845,
+      "loss": 6.4146,
+      "mean_token_accuracy": 0.11267002299427986,
+      "num_tokens": 1408765.0,
+      "step": 770
+    },
+    {
+      "entropy": 6.736465692520142,
+      "epoch": 0.6420878210439105,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038700000000000003,
+      "loss": 6.5632,
+      "mean_token_accuracy": 0.10607504546642303,
+      "num_tokens": 1418615.0,
+      "step": 775
+    },
+    {
+      "entropy": 6.616378879547119,
+      "epoch": 0.6462303231151616,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038950000000000003,
+      "loss": 6.4664,
+      "mean_token_accuracy": 0.10207068845629692,
+      "num_tokens": 1427359.0,
+      "step": 780
+    },
+    {
+      "entropy": 6.70065336227417,
+      "epoch": 0.6503728251864126,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00039200000000000004,
+      "loss": 6.622,
+      "mean_token_accuracy": 0.1116428442299366,
+      "num_tokens": 1435516.0,
+      "step": 785
+    },
+    {
+      "entropy": 6.709064102172851,
+      "epoch": 0.6545153272576636,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00039450000000000005,
+      "loss": 6.5704,
+      "mean_token_accuracy": 0.10583743155002594,
+      "num_tokens": 1444438.0,
+      "step": 790
+    },
+    {
+      "entropy": 6.671351766586303,
+      "epoch": 0.6586578293289147,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00039700000000000005,
+      "loss": 6.4996,
+      "mean_token_accuracy": 0.11326526403427124,
+      "num_tokens": 1453740.0,
+      "step": 795
+    },
+    {
+      "entropy": 6.614573907852173,
+      "epoch": 0.6628003314001657,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003995,
+      "loss": 6.4874,
+      "mean_token_accuracy": 0.11111863479018211,
+      "num_tokens": 1462083.0,
+      "step": 800
+    },
+    {
+      "entropy": 6.484545516967773,
+      "epoch": 0.6669428334714167,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000402,
+      "loss": 6.4127,
+      "mean_token_accuracy": 0.1100592203438282,
+      "num_tokens": 1471459.0,
+      "step": 805
+    },
+    {
+      "entropy": 6.621589279174804,
+      "epoch": 0.6710853355426678,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004045,
+      "loss": 6.3972,
+      "mean_token_accuracy": 0.11681128293275833,
+      "num_tokens": 1480516.0,
+      "step": 810
+    },
+    {
+      "entropy": 6.421737241744995,
+      "epoch": 0.6752278376139188,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00040699999999999997,
+      "loss": 6.3,
+      "mean_token_accuracy": 0.11318568140268326,
+      "num_tokens": 1489268.0,
+      "step": 815
+    },
+    {
+      "entropy": 6.700246906280517,
+      "epoch": 0.6793703396851698,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004095,
+      "loss": 6.5174,
+      "mean_token_accuracy": 0.11110908538103104,
+      "num_tokens": 1498819.0,
+      "step": 820
+    },
+    {
+      "entropy": 6.622490644454956,
+      "epoch": 0.6835128417564209,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000412,
+      "loss": 6.501,
+      "mean_token_accuracy": 0.11033953949809075,
+      "num_tokens": 1507852.0,
+      "step": 825
+    },
+    {
+      "entropy": 6.59730544090271,
+      "epoch": 0.6876553438276719,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004145,
+      "loss": 6.5302,
+      "mean_token_accuracy": 0.11122860461473465,
+      "num_tokens": 1517538.0,
+      "step": 830
+    },
+    {
+      "entropy": 6.458763217926025,
+      "epoch": 0.6917978458989229,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000417,
+      "loss": 6.4061,
+      "mean_token_accuracy": 0.11324542313814163,
+      "num_tokens": 1525389.0,
+      "step": 835
+    },
+    {
+      "entropy": 6.57511887550354,
+      "epoch": 0.695940347970174,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004195,
+      "loss": 6.3741,
+      "mean_token_accuracy": 0.11116622686386109,
+      "num_tokens": 1534117.0,
+      "step": 840
+    },
+    {
+      "entropy": 6.522304344177246,
+      "epoch": 0.700082850041425,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000422,
+      "loss": 6.4029,
+      "mean_token_accuracy": 0.11315450444817543,
+      "num_tokens": 1542610.0,
+      "step": 845
+    },
+    {
+      "entropy": 6.5175107479095455,
+      "epoch": 0.704225352112676,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004245,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.1143906556069851,
+      "num_tokens": 1551771.0,
+      "step": 850
+    },
+    {
+      "entropy": 6.620167636871338,
+      "epoch": 0.7083678541839271,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.000427,
+      "loss": 6.5779,
+      "mean_token_accuracy": 0.10512799099087715,
+      "num_tokens": 1560231.0,
+      "step": 855
+    },
+    {
+      "entropy": 6.589151382446289,
+      "epoch": 0.7125103562551781,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004295,
+      "loss": 6.5346,
+      "mean_token_accuracy": 0.10532297939062119,
+      "num_tokens": 1569578.0,
+      "step": 860
+    },
+    {
+      "entropy": 6.563750839233398,
+      "epoch": 0.7166528583264291,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000432,
+      "loss": 6.4187,
+      "mean_token_accuracy": 0.11381370946764946,
+      "num_tokens": 1579308.0,
+      "step": 865
+    },
+    {
+      "entropy": 6.597287034988403,
+      "epoch": 0.7207953603976802,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004345,
+      "loss": 6.6081,
+      "mean_token_accuracy": 0.10267190784215927,
+      "num_tokens": 1589506.0,
+      "step": 870
+    },
+    {
+      "entropy": 6.482245397567749,
+      "epoch": 0.7249378624689312,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000437,
+      "loss": 6.3671,
+      "mean_token_accuracy": 0.11368186473846435,
+      "num_tokens": 1598127.0,
+      "step": 875
+    },
+    {
+      "entropy": 6.548954200744629,
+      "epoch": 0.7290803645401823,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004395,
+      "loss": 6.4125,
+      "mean_token_accuracy": 0.11406067088246345,
+      "num_tokens": 1608073.0,
+      "step": 880
+    },
+    {
+      "entropy": 6.551317119598389,
+      "epoch": 0.7332228666114333,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000442,
+      "loss": 6.4304,
+      "mean_token_accuracy": 0.11178040653467178,
+      "num_tokens": 1616272.0,
+      "step": 885
+    },
+    {
+      "entropy": 6.496135663986206,
+      "epoch": 0.7373653686826843,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004445,
+      "loss": 6.447,
+      "mean_token_accuracy": 0.10845504105091094,
+      "num_tokens": 1625577.0,
+      "step": 890
+    },
+    {
+      "entropy": 6.685812950134277,
+      "epoch": 0.7415078707539354,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000447,
+      "loss": 6.533,
+      "mean_token_accuracy": 0.10158233270049095,
+      "num_tokens": 1634902.0,
+      "step": 895
+    },
+    {
+      "entropy": 6.520436191558838,
+      "epoch": 0.7456503728251864,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00044950000000000003,
+      "loss": 6.4674,
+      "mean_token_accuracy": 0.10865833014249801,
+      "num_tokens": 1644131.0,
+      "step": 900
+    },
+    {
+      "entropy": 6.461379718780518,
+      "epoch": 0.7497928748964374,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00045200000000000004,
+      "loss": 6.3694,
+      "mean_token_accuracy": 0.12158194407820702,
+      "num_tokens": 1652272.0,
+      "step": 905
+    },
+    {
+      "entropy": 6.533070278167725,
+      "epoch": 0.7539353769676885,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00045450000000000004,
+      "loss": 6.4632,
+      "mean_token_accuracy": 0.11447574123740197,
+      "num_tokens": 1660962.0,
+      "step": 910
+    },
+    {
+      "entropy": 6.475569725036621,
+      "epoch": 0.7580778790389395,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045700000000000005,
+      "loss": 6.4006,
+      "mean_token_accuracy": 0.11205699220299721,
+      "num_tokens": 1670570.0,
+      "step": 915
+    },
+    {
+      "entropy": 6.526782608032226,
+      "epoch": 0.7622203811101905,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00045950000000000006,
+      "loss": 6.4497,
+      "mean_token_accuracy": 0.1096197433769703,
+      "num_tokens": 1679674.0,
+      "step": 920
+    },
+    {
+      "entropy": 6.530770015716553,
+      "epoch": 0.7663628831814416,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000462,
+      "loss": 6.4324,
+      "mean_token_accuracy": 0.11466658413410187,
+      "num_tokens": 1688849.0,
+      "step": 925
+    },
+    {
+      "entropy": 6.4163538932800295,
+      "epoch": 0.7705053852526926,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004645,
+      "loss": 6.3128,
+      "mean_token_accuracy": 0.1098814107477665,
+      "num_tokens": 1698565.0,
+      "step": 930
+    },
+    {
+      "entropy": 6.5036052703857425,
+      "epoch": 0.7746478873239436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000467,
+      "loss": 6.3986,
+      "mean_token_accuracy": 0.11683695837855339,
+      "num_tokens": 1708009.0,
+      "step": 935
+    },
+    {
+      "entropy": 6.518198871612549,
+      "epoch": 0.7787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004695,
+      "loss": 6.3878,
+      "mean_token_accuracy": 0.1126109592616558,
+      "num_tokens": 1716497.0,
+      "step": 940
+    },
+    {
+      "entropy": 6.415347719192505,
+      "epoch": 0.7829328914664457,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000472,
+      "loss": 6.4082,
+      "mean_token_accuracy": 0.12070046439766884,
+      "num_tokens": 1725609.0,
+      "step": 945
+    },
+    {
+      "entropy": 6.477306175231933,
+      "epoch": 0.7870753935376967,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004745,
+      "loss": 6.3456,
+      "mean_token_accuracy": 0.11454906165599824,
+      "num_tokens": 1734165.0,
+      "step": 950
+    },
+    {
+      "entropy": 6.454520893096924,
+      "epoch": 0.7912178956089478,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000477,
+      "loss": 6.4546,
+      "mean_token_accuracy": 0.10918105840682983,
+      "num_tokens": 1744856.0,
+      "step": 955
+    },
+    {
+      "entropy": 6.4711943626403805,
+      "epoch": 0.7953603976801988,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004795,
+      "loss": 6.4509,
+      "mean_token_accuracy": 0.10578904524445534,
+      "num_tokens": 1753386.0,
+      "step": 960
+    },
+    {
+      "entropy": 6.4536961078643795,
+      "epoch": 0.7995028997514498,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000482,
+      "loss": 6.3053,
+      "mean_token_accuracy": 0.11872726455330848,
+      "num_tokens": 1762521.0,
+      "step": 965
+    },
+    {
+      "entropy": 6.34936490058899,
+      "epoch": 0.8036454018227009,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004845,
+      "loss": 6.3765,
+      "mean_token_accuracy": 0.11444728896021843,
+      "num_tokens": 1772403.0,
+      "step": 970
+    },
+    {
+      "entropy": 6.375087881088257,
+      "epoch": 0.8077879038939519,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000487,
+      "loss": 6.2884,
+      "mean_token_accuracy": 0.11179185584187508,
+      "num_tokens": 1780924.0,
+      "step": 975
+    },
+    {
+      "entropy": 6.547906732559204,
+      "epoch": 0.8119304059652029,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004895,
+      "loss": 6.4367,
+      "mean_token_accuracy": 0.11225800514221192,
+      "num_tokens": 1789992.0,
+      "step": 980
+    },
+    {
+      "entropy": 6.421040678024292,
+      "epoch": 0.816072908036454,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000492,
+      "loss": 6.3919,
+      "mean_token_accuracy": 0.11761699616909027,
+      "num_tokens": 1799513.0,
+      "step": 985
+    },
+    {
+      "entropy": 6.332476711273193,
+      "epoch": 0.820215410107705,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0004945,
+      "loss": 6.2287,
+      "mean_token_accuracy": 0.11279567033052444,
+      "num_tokens": 1807393.0,
+      "step": 990
+    },
+    {
+      "entropy": 6.438618326187134,
+      "epoch": 0.824357912178956,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000497,
+      "loss": 6.5079,
+      "mean_token_accuracy": 0.10579989776015282,
+      "num_tokens": 1817284.0,
+      "step": 995
+    },
+    {
+      "entropy": 6.449818515777588,
+      "epoch": 0.8285004142502072,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004995,
+      "loss": 6.2996,
+      "mean_token_accuracy": 0.11799877136945724,
+      "num_tokens": 1825591.0,
+      "step": 1000
+    },
+    {
+      "epoch": 0.8285004142502072,
+      "eval_entropy": 6.222835092402216,
+      "eval_loss": 6.475013256072998,
+      "eval_mean_token_accuracy": 0.11269166863866961,
+      "eval_num_tokens": 1825591.0,
+      "eval_runtime": 2.7611,
+      "eval_samples_per_second": 1357.068,
+      "eval_steps_per_second": 169.86,
+      "step": 1000
+    },
+    {
+      "entropy": 6.457831478118896,
+      "epoch": 0.8326429163214581,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0004999998547681232,
+      "loss": 6.3959,
+      "mean_token_accuracy": 0.11798396334052086,
+      "num_tokens": 1834655.0,
+      "step": 1005
+    },
+    {
+      "entropy": 6.26599349975586,
+      "epoch": 0.8367854183927091,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004999992647639447,
+      "loss": 6.2578,
+      "mean_token_accuracy": 0.11858200430870056,
+      "num_tokens": 1844187.0,
+      "step": 1010
+    },
+    {
+      "entropy": 6.415271520614624,
+      "epoch": 0.8409279204639603,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999982209116618,
+      "loss": 6.3345,
+      "mean_token_accuracy": 0.11406200677156449,
+      "num_tokens": 1852768.0,
+      "step": 1015
+    },
+    {
+      "entropy": 6.355557584762574,
+      "epoch": 0.8450704225352113,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004999967232133796,
+      "loss": 6.3913,
+      "mean_token_accuracy": 0.12348653748631477,
+      "num_tokens": 1862095.0,
+      "step": 1020
+    },
+    {
+      "entropy": 6.427043008804321,
+      "epoch": 0.8492129246064622,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004999947716721196,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.10961534604430198,
+      "num_tokens": 1871239.0,
+      "step": 1025
+    },
+    {
+      "entropy": 6.509608554840088,
+      "epoch": 0.8533554266777134,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004999923662918179,
+      "loss": 6.4323,
+      "mean_token_accuracy": 0.11334251016378402,
+      "num_tokens": 1880065.0,
+      "step": 1030
+    },
+    {
+      "entropy": 6.417975521087646,
+      "epoch": 0.8574979287489644,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999895070773266,
+      "loss": 6.4608,
+      "mean_token_accuracy": 0.10985229611396789,
+      "num_tokens": 1889065.0,
+      "step": 1035
+    },
+    {
+      "entropy": 6.429206514358521,
+      "epoch": 0.8616404308202155,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999861940344129,
+      "loss": 6.4721,
+      "mean_token_accuracy": 0.11190373301506043,
+      "num_tokens": 1898238.0,
+      "step": 1040
+    },
+    {
+      "entropy": 6.462369585037232,
+      "epoch": 0.8657829328914665,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004999824271697597,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.12136606723070145,
+      "num_tokens": 1906780.0,
+      "step": 1045
+    },
+    {
+      "entropy": 6.506088638305664,
+      "epoch": 0.8699254349627175,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000499978206490965,
+      "loss": 6.4745,
+      "mean_token_accuracy": 0.11197563111782075,
+      "num_tokens": 1916183.0,
+      "step": 1050
+    },
+    {
+      "entropy": 6.427097368240356,
+      "epoch": 0.8740679370339686,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999735320065427,
+      "loss": 6.3371,
+      "mean_token_accuracy": 0.11927392706274986,
+      "num_tokens": 1925382.0,
+      "step": 1055
+    },
+    {
+      "entropy": 6.292429256439209,
+      "epoch": 0.8782104391052196,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999684037259216,
+      "loss": 6.1827,
+      "mean_token_accuracy": 0.1270924136042595,
+      "num_tokens": 1933639.0,
+      "step": 1060
+    },
+    {
+      "entropy": 6.3600146770477295,
+      "epoch": 0.8823529411764706,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999628216594456,
+      "loss": 6.464,
+      "mean_token_accuracy": 0.11409285366535186,
+      "num_tokens": 1943044.0,
+      "step": 1065
+    },
+    {
+      "entropy": 6.460871028900146,
+      "epoch": 0.8864954432477217,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000499956785818375,
+      "loss": 6.303,
+      "mean_token_accuracy": 0.11871922463178634,
+      "num_tokens": 1951777.0,
+      "step": 1070
+    },
+    {
+      "entropy": 6.376981210708618,
+      "epoch": 0.8906379453189727,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004999502962148843,
+      "loss": 6.3666,
+      "mean_token_accuracy": 0.1170460693538189,
+      "num_tokens": 1961356.0,
+      "step": 1075
+    },
+    {
+      "entropy": 6.439280414581299,
+      "epoch": 0.8947804473902237,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000499943352862064,
+      "loss": 6.4248,
+      "mean_token_accuracy": 0.11459407210350037,
+      "num_tokens": 1970341.0,
+      "step": 1080
+    },
+    {
+      "entropy": 6.394289827346801,
+      "epoch": 0.8989229494614748,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004999359557739194,
+      "loss": 6.2796,
+      "mean_token_accuracy": 0.12198276743292809,
+      "num_tokens": 1978576.0,
+      "step": 1085
+    },
+    {
+      "entropy": 6.319045782089233,
+      "epoch": 0.9030654515327258,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004999281049653713,
+      "loss": 6.3227,
+      "mean_token_accuracy": 0.11601013913750649,
+      "num_tokens": 1987229.0,
+      "step": 1090
+    },
+    {
+      "entropy": 6.376017141342163,
+      "epoch": 0.9072079536039768,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999198004522557,
+      "loss": 6.261,
+      "mean_token_accuracy": 0.12269015237689018,
+      "num_tokens": 1996473.0,
+      "step": 1095
+    },
+    {
+      "entropy": 6.2405853271484375,
+      "epoch": 0.9113504556752279,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999110422513237,
+      "loss": 6.286,
+      "mean_token_accuracy": 0.12056776732206345,
+      "num_tokens": 2005551.0,
+      "step": 1100
+    },
+    {
+      "entropy": 6.398191165924072,
+      "epoch": 0.9154929577464789,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999018303802414,
+      "loss": 6.3869,
+      "mean_token_accuracy": 0.11947718560695648,
+      "num_tokens": 2015012.0,
+      "step": 1105
+    },
+    {
+      "entropy": 6.374700450897217,
+      "epoch": 0.9196354598177299,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004998921648575904,
+      "loss": 6.3999,
+      "mean_token_accuracy": 0.1203969657421112,
+      "num_tokens": 2024435.0,
+      "step": 1110
+    },
+    {
+      "entropy": 6.380674362182617,
+      "epoch": 0.923777961888981,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004998820457028669,
+      "loss": 6.3005,
+      "mean_token_accuracy": 0.12089794874191284,
+      "num_tokens": 2033991.0,
+      "step": 1115
+    },
+    {
+      "entropy": 6.409522771835327,
+      "epoch": 0.927920463960232,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998714729364824,
+      "loss": 6.3017,
+      "mean_token_accuracy": 0.1228084571659565,
+      "num_tokens": 2043117.0,
+      "step": 1120
+    },
+    {
+      "entropy": 6.326260423660278,
+      "epoch": 0.932062966031483,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004998604465797634,
+      "loss": 6.3305,
+      "mean_token_accuracy": 0.11992078274488449,
+      "num_tokens": 2052304.0,
+      "step": 1125
+    },
+    {
+      "entropy": 6.251798295974732,
+      "epoch": 0.9362054681027341,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998489666549512,
+      "loss": 6.2779,
+      "mean_token_accuracy": 0.12114684730768203,
+      "num_tokens": 2061217.0,
+      "step": 1130
+    },
+    {
+      "entropy": 6.319644594192505,
+      "epoch": 0.9403479701739851,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.0004998370331852021,
+      "loss": 6.2517,
+      "mean_token_accuracy": 0.11879112273454666,
+      "num_tokens": 2070796.0,
+      "step": 1135
+    },
+    {
+      "entropy": 6.465651321411133,
+      "epoch": 0.9444904722452361,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004998246461945872,
+      "loss": 6.4037,
+      "mean_token_accuracy": 0.12191760018467904,
+      "num_tokens": 2080202.0,
+      "step": 1140
+    },
+    {
+      "entropy": 6.320812797546386,
+      "epoch": 0.9486329743164872,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004998118057080923,
+      "loss": 6.3045,
+      "mean_token_accuracy": 0.11891168132424354,
+      "num_tokens": 2089788.0,
+      "step": 1145
+    },
+    {
+      "entropy": 6.301202344894409,
+      "epoch": 0.9527754763877382,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004997985117516183,
+      "loss": 6.3462,
+      "mean_token_accuracy": 0.11142431199550629,
+      "num_tokens": 2098727.0,
+      "step": 1150
+    },
+    {
+      "entropy": 6.344118309020996,
+      "epoch": 0.9569179784589892,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997847643519803,
+      "loss": 6.226,
+      "mean_token_accuracy": 0.11924557387828827,
+      "num_tokens": 2107645.0,
+      "step": 1155
+    },
+    {
+      "entropy": 6.1790977954864506,
+      "epoch": 0.9610604805302403,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997705635369085,
+      "loss": 6.1991,
+      "mean_token_accuracy": 0.11988648250699044,
+      "num_tokens": 2116613.0,
+      "step": 1160
+    },
+    {
+      "entropy": 6.284418439865112,
+      "epoch": 0.9652029826014913,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004997559093350474,
+      "loss": 6.1881,
+      "mean_token_accuracy": 0.12116428092122078,
+      "num_tokens": 2125585.0,
+      "step": 1165
+    },
+    {
+      "entropy": 6.396596622467041,
+      "epoch": 0.9693454846727423,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004997408017759562,
+      "loss": 6.3359,
+      "mean_token_accuracy": 0.11936862170696258,
+      "num_tokens": 2134795.0,
+      "step": 1170
+    },
+    {
+      "entropy": 6.273751878738404,
+      "epoch": 0.9734879867439934,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004997252408901084,
+      "loss": 6.3271,
+      "mean_token_accuracy": 0.11899949684739113,
+      "num_tokens": 2143699.0,
+      "step": 1175
+    },
+    {
+      "entropy": 6.386678028106689,
+      "epoch": 0.9776304888152444,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004997092267088922,
+      "loss": 6.2707,
+      "mean_token_accuracy": 0.11861606612801552,
+      "num_tokens": 2152187.0,
+      "step": 1180
+    },
+    {
+      "entropy": 6.275117111206055,
+      "epoch": 0.9817729908864954,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004996927592646097,
+      "loss": 6.3412,
+      "mean_token_accuracy": 0.11767763197422028,
+      "num_tokens": 2160941.0,
+      "step": 1185
+    },
+    {
+      "entropy": 6.339710283279419,
+      "epoch": 0.9859154929577465,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004996758385904776,
+      "loss": 6.3119,
+      "mean_token_accuracy": 0.11789651140570641,
+      "num_tokens": 2168946.0,
+      "step": 1190
+    },
+    {
+      "entropy": 6.181374216079712,
+      "epoch": 0.9900579950289975,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004996584647206269,
+      "loss": 6.2237,
+      "mean_token_accuracy": 0.12055367529392243,
+      "num_tokens": 2177662.0,
+      "step": 1195
+    },
+    {
+      "entropy": 6.316773986816406,
+      "epoch": 0.9942004971002486,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004996406376901026,
+      "loss": 6.3268,
+      "mean_token_accuracy": 0.12757316455245019,
+      "num_tokens": 2187461.0,
+      "step": 1200
+    },
+    {
+      "entropy": 6.283385133743286,
+      "epoch": 0.9983429991714996,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004996223575348635,
+      "loss": 6.2207,
+      "mean_token_accuracy": 0.12578138560056687,
+      "num_tokens": 2196878.0,
+      "step": 1205
+    },
+    {
+      "entropy": 6.311019659042358,
+      "epoch": 1.0024855012427507,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004996036242917828,
+      "loss": 6.2021,
+      "mean_token_accuracy": 0.1151522897183895,
+      "num_tokens": 2206178.0,
+      "step": 1210
+    },
+    {
+      "entropy": 6.25421667098999,
+      "epoch": 1.0066280033140016,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004995844379986476,
+      "loss": 6.0526,
+      "mean_token_accuracy": 0.12476176023483276,
+      "num_tokens": 2215330.0,
+      "step": 1215
+    },
+    {
+      "entropy": 6.309921216964722,
+      "epoch": 1.0107705053852527,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004995647986941587,
+      "loss": 6.0354,
+      "mean_token_accuracy": 0.13005029112100602,
+      "num_tokens": 2224146.0,
+      "step": 1220
+    },
+    {
+      "entropy": 6.241363286972046,
+      "epoch": 1.0149130074565038,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004995447064179308,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13421598002314566,
+      "num_tokens": 2233646.0,
+      "step": 1225
+    },
+    {
+      "entropy": 6.058859920501709,
+      "epoch": 1.0190555095277547,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.000499524161210492,
+      "loss": 5.9379,
+      "mean_token_accuracy": 0.12560308948159218,
+      "num_tokens": 2243663.0,
+      "step": 1230
+    },
+    {
+      "entropy": 6.270004224777222,
+      "epoch": 1.0231980115990058,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004995031631132844,
+      "loss": 6.1035,
+      "mean_token_accuracy": 0.13170127123594283,
+      "num_tokens": 2252564.0,
+      "step": 1235
+    },
+    {
+      "entropy": 6.2710247993469235,
+      "epoch": 1.027340513670257,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004994817121686633,
+      "loss": 6.099,
+      "mean_token_accuracy": 0.12465815395116805,
+      "num_tokens": 2262504.0,
+      "step": 1240
+    },
+    {
+      "entropy": 6.193396997451782,
+      "epoch": 1.0314830157415078,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004994598084198979,
+      "loss": 5.9843,
+      "mean_token_accuracy": 0.1374910719692707,
+      "num_tokens": 2270553.0,
+      "step": 1245
+    },
+    {
+      "entropy": 6.136552810668945,
+      "epoch": 1.035625517812759,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004994374519111701,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.1272726461291313,
+      "num_tokens": 2279319.0,
+      "step": 1250
+    },
+    {
+      "entropy": 6.217378282546997,
+      "epoch": 1.03976801988401,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004994146426875757,
+      "loss": 6.123,
+      "mean_token_accuracy": 0.126935476064682,
+      "num_tokens": 2288749.0,
+      "step": 1255
+    },
+    {
+      "entropy": 6.218695068359375,
+      "epoch": 1.043910521955261,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004993913807951232,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.12562426924705505,
+      "num_tokens": 2298272.0,
+      "step": 1260
+    },
+    {
+      "entropy": 6.221994352340698,
+      "epoch": 1.048053024026512,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004993676662807345,
+      "loss": 6.047,
+      "mean_token_accuracy": 0.12884460240602494,
+      "num_tokens": 2307230.0,
+      "step": 1265
+    },
+    {
+      "entropy": 6.183428144454956,
+      "epoch": 1.0521955260977631,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004993434991922443,
+      "loss": 6.1317,
+      "mean_token_accuracy": 0.12460145726799965,
+      "num_tokens": 2316306.0,
+      "step": 1270
+    },
+    {
+      "entropy": 6.22090425491333,
+      "epoch": 1.056338028169014,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004993188795784002,
+      "loss": 6.0531,
+      "mean_token_accuracy": 0.1241947129368782,
+      "num_tokens": 2325672.0,
+      "step": 1275
+    },
+    {
+      "entropy": 6.1453857421875,
+      "epoch": 1.0604805302402651,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004992938074888628,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.1274007849395275,
+      "num_tokens": 2335251.0,
+      "step": 1280
+    },
+    {
+      "entropy": 6.180039167404175,
+      "epoch": 1.0646230323115162,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004992682829742052,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.1308726042509079,
+      "num_tokens": 2344054.0,
+      "step": 1285
+    },
+    {
+      "entropy": 6.086296463012696,
+      "epoch": 1.0687655343827671,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004992423060859132,
+      "loss": 6.0236,
+      "mean_token_accuracy": 0.127706591039896,
+      "num_tokens": 2353493.0,
+      "step": 1290
+    },
+    {
+      "entropy": 6.223158740997315,
+      "epoch": 1.0729080364540182,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004992158768763849,
+      "loss": 6.1321,
+      "mean_token_accuracy": 0.12850543335080147,
+      "num_tokens": 2362687.0,
+      "step": 1295
+    },
+    {
+      "entropy": 6.2506636619567875,
+      "epoch": 1.0770505385252693,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004991889953989308,
+      "loss": 6.0965,
+      "mean_token_accuracy": 0.12563316524028778,
+      "num_tokens": 2372325.0,
+      "step": 1300
+    },
+    {
+      "entropy": 6.173602199554443,
+      "epoch": 1.0811930405965202,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004991616617077741,
+      "loss": 6.12,
+      "mean_token_accuracy": 0.1287991665303707,
+      "num_tokens": 2381987.0,
+      "step": 1305
+    },
+    {
+      "entropy": 6.307486963272095,
+      "epoch": 1.0853355426677713,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004991338758580496,
+      "loss": 6.0234,
+      "mean_token_accuracy": 0.13178783878684044,
+      "num_tokens": 2390901.0,
+      "step": 1310
+    },
+    {
+      "entropy": 6.034789133071899,
+      "epoch": 1.0894780447390224,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004991056379058045,
+      "loss": 6.0813,
+      "mean_token_accuracy": 0.12450421676039695,
+      "num_tokens": 2400756.0,
+      "step": 1315
+    },
+    {
+      "entropy": 6.188017988204956,
+      "epoch": 1.0936205468102733,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004990769479079976,
+      "loss": 5.9232,
+      "mean_token_accuracy": 0.12984196096658707,
+      "num_tokens": 2409526.0,
+      "step": 1320
+    },
+    {
+      "entropy": 6.086554956436157,
+      "epoch": 1.0977630488815244,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004990478059225003,
+      "loss": 6.0931,
+      "mean_token_accuracy": 0.12972966134548186,
+      "num_tokens": 2419583.0,
+      "step": 1325
+    },
+    {
+      "entropy": 6.2457873821258545,
+      "epoch": 1.1019055509527755,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004990182120080945,
+      "loss": 6.0338,
+      "mean_token_accuracy": 0.12990806251764297,
+      "num_tokens": 2429439.0,
+      "step": 1330
+    },
+    {
+      "entropy": 6.078778219223023,
+      "epoch": 1.1060480530240264,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004989881662244748,
+      "loss": 6.0416,
+      "mean_token_accuracy": 0.12380676046013832,
+      "num_tokens": 2438467.0,
+      "step": 1335
+    },
+    {
+      "entropy": 6.138932418823242,
+      "epoch": 1.1101905550952775,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004989576686322468,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.1332716926932335,
+      "num_tokens": 2446619.0,
+      "step": 1340
+    },
+    {
+      "entropy": 6.1281578540802,
+      "epoch": 1.1143330571665286,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004989267192929272,
+      "loss": 6.0379,
+      "mean_token_accuracy": 0.12955363765358924,
+      "num_tokens": 2454998.0,
+      "step": 1345
+    },
+    {
+      "entropy": 6.09554443359375,
+      "epoch": 1.1184755592377795,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004988953182689445,
+      "loss": 6.0072,
+      "mean_token_accuracy": 0.13532012328505516,
+      "num_tokens": 2463497.0,
+      "step": 1350
+    },
+    {
+      "entropy": 6.134703922271728,
+      "epoch": 1.1226180613090306,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004988634656236378,
+      "loss": 5.9216,
+      "mean_token_accuracy": 0.13609320148825646,
+      "num_tokens": 2471763.0,
+      "step": 1355
+    },
+    {
+      "entropy": 6.145527791976929,
+      "epoch": 1.1267605633802817,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004988311614212576,
+      "loss": 6.0016,
+      "mean_token_accuracy": 0.1402701161801815,
+      "num_tokens": 2479949.0,
+      "step": 1360
+    },
+    {
+      "entropy": 6.116470623016357,
+      "epoch": 1.1309030654515326,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004987984057269648,
+      "loss": 6.0539,
+      "mean_token_accuracy": 0.13444141745567323,
+      "num_tokens": 2489097.0,
+      "step": 1365
+    },
+    {
+      "entropy": 5.972180604934692,
+      "epoch": 1.1350455675227837,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004987651986068311,
+      "loss": 5.8781,
+      "mean_token_accuracy": 0.13601028621196748,
+      "num_tokens": 2497625.0,
+      "step": 1370
+    },
+    {
+      "entropy": 6.143597984313965,
+      "epoch": 1.1391880695940348,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004987315401278394,
+      "loss": 6.1252,
+      "mean_token_accuracy": 0.1272761717438698,
+      "num_tokens": 2507107.0,
+      "step": 1375
+    },
+    {
+      "entropy": 6.286170959472656,
+      "epoch": 1.143330571665286,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004986974303578819,
+      "loss": 6.1408,
+      "mean_token_accuracy": 0.12348597794771195,
+      "num_tokens": 2516629.0,
+      "step": 1380
+    },
+    {
+      "entropy": 6.077923250198364,
+      "epoch": 1.1474730737365368,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004986628693657621,
+      "loss": 6.021,
+      "mean_token_accuracy": 0.1280151717364788,
+      "num_tokens": 2525924.0,
+      "step": 1385
+    },
+    {
+      "entropy": 6.229060649871826,
+      "epoch": 1.151615575807788,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004986278572211933,
+      "loss": 6.1723,
+      "mean_token_accuracy": 0.1280426375567913,
+      "num_tokens": 2535586.0,
+      "step": 1390
+    },
+    {
+      "entropy": 6.189875984191895,
+      "epoch": 1.1557580778790388,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004985923939947987,
+      "loss": 6.2595,
+      "mean_token_accuracy": 0.1247698113322258,
+      "num_tokens": 2546685.0,
+      "step": 1395
+    },
+    {
+      "entropy": 6.148470640182495,
+      "epoch": 1.15990057995029,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004985564797581115,
+      "loss": 5.9681,
+      "mean_token_accuracy": 0.12971177995204924,
+      "num_tokens": 2556873.0,
+      "step": 1400
+    },
+    {
+      "entropy": 6.143459701538086,
+      "epoch": 1.164043082021541,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004985201145835747,
+      "loss": 5.9836,
+      "mean_token_accuracy": 0.13127154856920242,
+      "num_tokens": 2565222.0,
+      "step": 1405
+    },
+    {
+      "entropy": 6.031957960128784,
+      "epoch": 1.1681855840927922,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.000498483298544541,
+      "loss": 5.9875,
+      "mean_token_accuracy": 0.13211632743477822,
+      "num_tokens": 2575467.0,
+      "step": 1410
+    },
+    {
+      "entropy": 6.136318731307983,
+      "epoch": 1.172328086164043,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000498446031715272,
+      "loss": 6.0125,
+      "mean_token_accuracy": 0.13508019223809242,
+      "num_tokens": 2583963.0,
+      "step": 1415
+    },
+    {
+      "entropy": 6.133963680267334,
+      "epoch": 1.1764705882352942,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004984083141709391,
+      "loss": 6.042,
+      "mean_token_accuracy": 0.13524071872234344,
+      "num_tokens": 2593350.0,
+      "step": 1420
+    },
+    {
+      "entropy": 5.975436115264893,
+      "epoch": 1.180613090306545,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000498370145987623,
+      "loss": 5.9652,
+      "mean_token_accuracy": 0.13682079091668128,
+      "num_tokens": 2602191.0,
+      "step": 1425
+    },
+    {
+      "entropy": 6.170718050003051,
+      "epoch": 1.1847555923777962,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004983315272423127,
+      "loss": 6.0999,
+      "mean_token_accuracy": 0.1291058838367462,
+      "num_tokens": 2613590.0,
+      "step": 1430
+    },
+    {
+      "entropy": 6.049332237243652,
+      "epoch": 1.1888980944490473,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004982924580129066,
+      "loss": 5.8895,
+      "mean_token_accuracy": 0.1340464949607849,
+      "num_tokens": 2622072.0,
+      "step": 1435
+    },
+    {
+      "entropy": 6.093293142318726,
+      "epoch": 1.1930405965202984,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004982529383782116,
+      "loss": 6.1012,
+      "mean_token_accuracy": 0.13022035285830497,
+      "num_tokens": 2630904.0,
+      "step": 1440
+    },
+    {
+      "entropy": 6.189996242523193,
+      "epoch": 1.1971830985915493,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004982129684179432,
+      "loss": 6.0594,
+      "mean_token_accuracy": 0.13088259026408194,
+      "num_tokens": 2639925.0,
+      "step": 1445
+    },
+    {
+      "entropy": 6.1187131881713865,
+      "epoch": 1.2013256006628004,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004981725482127251,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.13439981341362,
+      "num_tokens": 2649397.0,
+      "step": 1450
+    },
+    {
+      "entropy": 6.16315655708313,
+      "epoch": 1.2054681027340513,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004981316778440892,
+      "loss": 6.081,
+      "mean_token_accuracy": 0.13515593931078912,
+      "num_tokens": 2658877.0,
+      "step": 1455
+    },
+    {
+      "entropy": 6.063838720321655,
+      "epoch": 1.2096106048053024,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004980903573944756,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13121431767940522,
+      "num_tokens": 2668518.0,
+      "step": 1460
+    },
+    {
+      "entropy": 6.059180212020874,
+      "epoch": 1.2137531068765535,
+      "grad_norm": 1.0078125,
+      "learning_rate": 0.0004980485869472322,
+      "loss": 6.1148,
+      "mean_token_accuracy": 0.12996160089969636,
+      "num_tokens": 2677459.0,
+      "step": 1465
+    },
+    {
+      "entropy": 6.223527908325195,
+      "epoch": 1.2178956089478046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004980063665866143,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12482839822769165,
+      "num_tokens": 2686668.0,
+      "step": 1470
+    },
+    {
+      "entropy": 5.935272264480591,
+      "epoch": 1.2220381110190555,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004979636963977853,
+      "loss": 5.8825,
+      "mean_token_accuracy": 0.1352998949587345,
+      "num_tokens": 2695545.0,
+      "step": 1475
+    },
+    {
+      "entropy": 6.066101598739624,
+      "epoch": 1.2261806130903066,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004979205764668156,
+      "loss": 6.0569,
+      "mean_token_accuracy": 0.13228241056203843,
+      "num_tokens": 2705514.0,
+      "step": 1480
+    },
+    {
+      "entropy": 6.138315343856812,
+      "epoch": 1.2303231151615575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004978770068806825,
+      "loss": 5.9599,
+      "mean_token_accuracy": 0.13136665150523186,
+      "num_tokens": 2714373.0,
+      "step": 1485
+    },
+    {
+      "entropy": 6.061770391464234,
+      "epoch": 1.2344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.000497832987727271,
+      "loss": 6.0715,
+      "mean_token_accuracy": 0.1264137916266918,
+      "num_tokens": 2723887.0,
+      "step": 1490
+    },
+    {
+      "entropy": 6.061756038665772,
+      "epoch": 1.2386081193040597,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004977885190953724,
+      "loss": 5.956,
+      "mean_token_accuracy": 0.13353569880127908,
+      "num_tokens": 2733591.0,
+      "step": 1495
+    },
+    {
+      "entropy": 6.104292392730713,
+      "epoch": 1.2427506213753108,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004977436010746846,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.13720986992120743,
+      "num_tokens": 2741638.0,
+      "step": 1500
+    },
+    {
+      "epoch": 1.2427506213753108,
+      "eval_entropy": 6.029743814773397,
+      "eval_loss": 6.2611613273620605,
+      "eval_mean_token_accuracy": 0.12890694399219332,
+      "eval_num_tokens": 2741638.0,
+      "eval_runtime": 2.9518,
+      "eval_samples_per_second": 1269.399,
+      "eval_steps_per_second": 158.887,
+      "step": 1500
+    },
+    {
+      "entropy": 6.078821802139283,
+      "epoch": 1.2468931234465617,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004976982337558124,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13084649220108985,
+      "num_tokens": 2749711.0,
+      "step": 1505
+    },
+    {
+      "entropy": 6.094208097457885,
+      "epoch": 1.2510356255178128,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004976524172302665,
+      "loss": 6.121,
+      "mean_token_accuracy": 0.13192041367292404,
+      "num_tokens": 2758121.0,
+      "step": 1510
+    },
+    {
+      "entropy": 6.159745693206787,
+      "epoch": 1.2551781275890637,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004976061515904641,
+      "loss": 6.1181,
+      "mean_token_accuracy": 0.12667254582047463,
+      "num_tokens": 2766764.0,
+      "step": 1515
+    },
+    {
+      "entropy": 6.116680526733399,
+      "epoch": 1.2593206296603148,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004975594369297277,
+      "loss": 6.0557,
+      "mean_token_accuracy": 0.1348518520593643,
+      "num_tokens": 2775561.0,
+      "step": 1520
+    },
+    {
+      "entropy": 6.08063235282898,
+      "epoch": 1.2634631317315659,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004975122733422861,
+      "loss": 6.0201,
+      "mean_token_accuracy": 0.13085112273693084,
+      "num_tokens": 2784691.0,
+      "step": 1525
+    },
+    {
+      "entropy": 6.129113435745239,
+      "epoch": 1.267605633802817,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004974646609232732,
+      "loss": 5.9816,
+      "mean_token_accuracy": 0.13641836866736412,
+      "num_tokens": 2793893.0,
+      "step": 1530
+    },
+    {
+      "entropy": 6.108260202407837,
+      "epoch": 1.2717481358740679,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004974165997687288,
+      "loss": 6.0751,
+      "mean_token_accuracy": 0.13353196606040002,
+      "num_tokens": 2804479.0,
+      "step": 1535
+    },
+    {
+      "entropy": 6.16022138595581,
+      "epoch": 1.275890637945319,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004973680899755972,
+      "loss": 6.107,
+      "mean_token_accuracy": 0.1326654002070427,
+      "num_tokens": 2813966.0,
+      "step": 1540
+    },
+    {
+      "entropy": 6.007886743545532,
+      "epoch": 1.2800331400165699,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000497319131641728,
+      "loss": 5.9326,
+      "mean_token_accuracy": 0.13846119418740271,
+      "num_tokens": 2822328.0,
+      "step": 1545
+    },
+    {
+      "entropy": 6.003260755538941,
+      "epoch": 1.284175642087821,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004972697248658755,
+      "loss": 5.8899,
+      "mean_token_accuracy": 0.14066707715392113,
+      "num_tokens": 2829845.0,
+      "step": 1550
+    },
+    {
+      "entropy": 5.948832178115845,
+      "epoch": 1.288318144159072,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004972198697476987,
+      "loss": 5.8783,
+      "mean_token_accuracy": 0.13914238885045052,
+      "num_tokens": 2839040.0,
+      "step": 1555
+    },
+    {
+      "entropy": 5.961882209777832,
+      "epoch": 1.2924606462303232,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004971695663877607,
+      "loss": 5.9665,
+      "mean_token_accuracy": 0.13561231270432472,
+      "num_tokens": 2848574.0,
+      "step": 1560
+    },
+    {
+      "entropy": 6.077086877822876,
+      "epoch": 1.296603148301574,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004971188148875289,
+      "loss": 5.9421,
+      "mean_token_accuracy": 0.14444561377167703,
+      "num_tokens": 2856812.0,
+      "step": 1565
+    },
+    {
+      "entropy": 6.051652336120606,
+      "epoch": 1.3007456503728252,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004970676153493748,
+      "loss": 6.0283,
+      "mean_token_accuracy": 0.13189572617411613,
+      "num_tokens": 2866001.0,
+      "step": 1570
+    },
+    {
+      "entropy": 6.1068840503692625,
+      "epoch": 1.3048881524440763,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004970159678765731,
+      "loss": 6.0164,
+      "mean_token_accuracy": 0.13239546120166779,
+      "num_tokens": 2875181.0,
+      "step": 1575
+    },
+    {
+      "entropy": 6.049808597564697,
+      "epoch": 1.3090306545153272,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004969638725733028,
+      "loss": 5.9587,
+      "mean_token_accuracy": 0.13397156223654746,
+      "num_tokens": 2885103.0,
+      "step": 1580
+    },
+    {
+      "entropy": 5.92131872177124,
+      "epoch": 1.3131731565865783,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004969113295446455,
+      "loss": 5.9116,
+      "mean_token_accuracy": 0.1383065924048424,
+      "num_tokens": 2894055.0,
+      "step": 1585
+    },
+    {
+      "entropy": 6.116864538192749,
+      "epoch": 1.3173156586578294,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004968583388965863,
+      "loss": 5.9846,
+      "mean_token_accuracy": 0.133075200766325,
+      "num_tokens": 2903391.0,
+      "step": 1590
+    },
+    {
+      "entropy": 6.006745624542236,
+      "epoch": 1.3214581607290803,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004968049007360132,
+      "loss": 5.9854,
+      "mean_token_accuracy": 0.13297903537750244,
+      "num_tokens": 2911760.0,
+      "step": 1595
+    },
+    {
+      "entropy": 5.926331329345703,
+      "epoch": 1.3256006628003314,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004967510151707169,
+      "loss": 5.9369,
+      "mean_token_accuracy": 0.13469143435359002,
+      "num_tokens": 2920589.0,
+      "step": 1600
+    },
+    {
+      "entropy": 6.15295524597168,
+      "epoch": 1.3297431648715825,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004966966823093903,
+      "loss": 6.0746,
+      "mean_token_accuracy": 0.1302391268312931,
+      "num_tokens": 2929635.0,
+      "step": 1605
+    },
+    {
+      "entropy": 5.986531114578247,
+      "epoch": 1.3338856669428334,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004966419022616287,
+      "loss": 5.9349,
+      "mean_token_accuracy": 0.13593596145510672,
+      "num_tokens": 2938778.0,
+      "step": 1610
+    },
+    {
+      "entropy": 6.039755535125733,
+      "epoch": 1.3380281690140845,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004965866751379296,
+      "loss": 6.0503,
+      "mean_token_accuracy": 0.13109695687890052,
+      "num_tokens": 2947836.0,
+      "step": 1615
+    },
+    {
+      "entropy": 6.133180904388428,
+      "epoch": 1.3421706710853356,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004965310010496922,
+      "loss": 6.0032,
+      "mean_token_accuracy": 0.1280514419078827,
+      "num_tokens": 2957028.0,
+      "step": 1620
+    },
+    {
+      "entropy": 6.026159048080444,
+      "epoch": 1.3463131731565865,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004964748801092168,
+      "loss": 5.9571,
+      "mean_token_accuracy": 0.1338861681520939,
+      "num_tokens": 2966088.0,
+      "step": 1625
+    },
+    {
+      "entropy": 6.078959226608276,
+      "epoch": 1.3504556752278376,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004964183124297059,
+      "loss": 6.0438,
+      "mean_token_accuracy": 0.13178688064217567,
+      "num_tokens": 2975271.0,
+      "step": 1630
+    },
+    {
+      "entropy": 5.992210865020752,
+      "epoch": 1.3545981772990887,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004963612981252625,
+      "loss": 6.0524,
+      "mean_token_accuracy": 0.1321226365864277,
+      "num_tokens": 2983799.0,
+      "step": 1635
+    },
+    {
+      "entropy": 6.056794929504394,
+      "epoch": 1.3587406793703396,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004963038373108908,
+      "loss": 6.0179,
+      "mean_token_accuracy": 0.13609340488910676,
+      "num_tokens": 2992675.0,
+      "step": 1640
+    },
+    {
+      "entropy": 6.155933427810669,
+      "epoch": 1.3628831814415907,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004962459301024954,
+      "loss": 6.0838,
+      "mean_token_accuracy": 0.13211635649204254,
+      "num_tokens": 3002483.0,
+      "step": 1645
+    },
+    {
+      "entropy": 6.027872896194458,
+      "epoch": 1.3670256835128418,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004961875766168816,
+      "loss": 5.985,
+      "mean_token_accuracy": 0.13883458971977233,
+      "num_tokens": 3010611.0,
+      "step": 1650
+    },
+    {
+      "entropy": 6.057289028167725,
+      "epoch": 1.371168185584093,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004961287769717547,
+      "loss": 5.9397,
+      "mean_token_accuracy": 0.13197456523776055,
+      "num_tokens": 3019928.0,
+      "step": 1655
+    },
+    {
+      "entropy": 5.9325989246368405,
+      "epoch": 1.3753106876553438,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004960695312857199,
+      "loss": 5.9279,
+      "mean_token_accuracy": 0.13408055454492568,
+      "num_tokens": 3029003.0,
+      "step": 1660
+    },
+    {
+      "entropy": 6.0389604568481445,
+      "epoch": 1.379453189726595,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004960098396782824,
+      "loss": 5.9464,
+      "mean_token_accuracy": 0.1375861033797264,
+      "num_tokens": 3038049.0,
+      "step": 1665
+    },
+    {
+      "entropy": 5.969662141799927,
+      "epoch": 1.3835956917978458,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004959497022698466,
+      "loss": 5.9515,
+      "mean_token_accuracy": 0.14408120438456534,
+      "num_tokens": 3046674.0,
+      "step": 1670
+    },
+    {
+      "entropy": 6.0561059474945065,
+      "epoch": 1.387738193869097,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004958891191817163,
+      "loss": 5.9927,
+      "mean_token_accuracy": 0.12801324650645257,
+      "num_tokens": 3056459.0,
+      "step": 1675
+    },
+    {
+      "entropy": 6.032327270507812,
+      "epoch": 1.391880695940348,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000495828090536094,
+      "loss": 5.9845,
+      "mean_token_accuracy": 0.13036760538816453,
+      "num_tokens": 3066294.0,
+      "step": 1680
+    },
+    {
+      "entropy": 6.0512574195861815,
+      "epoch": 1.3960231980115991,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004957666164560815,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13139644563198088,
+      "num_tokens": 3075420.0,
+      "step": 1685
+    },
+    {
+      "entropy": 6.063203239440918,
+      "epoch": 1.40016570008285,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004957046970656784,
+      "loss": 6.0385,
+      "mean_token_accuracy": 0.13581736162304878,
+      "num_tokens": 3084373.0,
+      "step": 1690
+    },
+    {
+      "entropy": 6.00097541809082,
+      "epoch": 1.4043082021541011,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004956423324897831,
+      "loss": 6.0257,
+      "mean_token_accuracy": 0.13937310948967935,
+      "num_tokens": 3094212.0,
+      "step": 1695
+    },
+    {
+      "entropy": 6.043115425109863,
+      "epoch": 1.408450704225352,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004955795228541917,
+      "loss": 5.9589,
+      "mean_token_accuracy": 0.14452596232295037,
+      "num_tokens": 3102769.0,
+      "step": 1700
+    },
+    {
+      "entropy": 6.040110731124878,
+      "epoch": 1.4125932062966031,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000495516268285598,
+      "loss": 5.9805,
+      "mean_token_accuracy": 0.13440805301070213,
+      "num_tokens": 3111465.0,
+      "step": 1705
+    },
+    {
+      "entropy": 5.978239822387695,
+      "epoch": 1.4167357083678542,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004954525689115935,
+      "loss": 5.9177,
+      "mean_token_accuracy": 0.13326097056269645,
+      "num_tokens": 3121106.0,
+      "step": 1710
+    },
+    {
+      "entropy": 6.007881164550781,
+      "epoch": 1.4208782104391053,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004953884248606669,
+      "loss": 5.945,
+      "mean_token_accuracy": 0.14831372052431108,
+      "num_tokens": 3130662.0,
+      "step": 1715
+    },
+    {
+      "entropy": 5.97642674446106,
+      "epoch": 1.4250207125103562,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004953238362622034,
+      "loss": 5.9812,
+      "mean_token_accuracy": 0.13328263983130456,
+      "num_tokens": 3139538.0,
+      "step": 1720
+    },
+    {
+      "entropy": 6.0256367206573485,
+      "epoch": 1.4291632145816073,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004952588032464855,
+      "loss": 6.0298,
+      "mean_token_accuracy": 0.12707214802503586,
+      "num_tokens": 3148552.0,
+      "step": 1725
+    },
+    {
+      "entropy": 5.996851205825806,
+      "epoch": 1.4333057166528582,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004951933259446919,
+      "loss": 5.9365,
+      "mean_token_accuracy": 0.14197203740477563,
+      "num_tokens": 3156549.0,
+      "step": 1730
+    },
+    {
+      "entropy": 6.114988136291504,
+      "epoch": 1.4374482187241093,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004951274044888975,
+      "loss": 6.1006,
+      "mean_token_accuracy": 0.12147112190723419,
+      "num_tokens": 3166821.0,
+      "step": 1735
+    },
+    {
+      "entropy": 5.960144329071045,
+      "epoch": 1.4415907207953604,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004950610390120731,
+      "loss": 5.9848,
+      "mean_token_accuracy": 0.135729306191206,
+      "num_tokens": 3174962.0,
+      "step": 1740
+    },
+    {
+      "entropy": 6.087535095214844,
+      "epoch": 1.4457332228666115,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000494994229648085,
+      "loss": 5.8903,
+      "mean_token_accuracy": 0.13537728488445283,
+      "num_tokens": 3184027.0,
+      "step": 1745
+    },
+    {
+      "entropy": 5.957475805282593,
+      "epoch": 1.4498757249378624,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004949269765316948,
+      "loss": 6.0321,
+      "mean_token_accuracy": 0.13071285635232927,
+      "num_tokens": 3193186.0,
+      "step": 1750
+    },
+    {
+      "entropy": 6.171153354644775,
+      "epoch": 1.4540182270091135,
+      "grad_norm": 2.140625,
+      "learning_rate": 0.0004948592797985599,
+      "loss": 6.0525,
+      "mean_token_accuracy": 0.13555259853601456,
+      "num_tokens": 3202676.0,
+      "step": 1755
+    },
+    {
+      "entropy": 6.123908805847168,
+      "epoch": 1.4581607290803644,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947911395852317,
+      "loss": 6.1524,
+      "mean_token_accuracy": 0.1352410912513733,
+      "num_tokens": 3211950.0,
+      "step": 1760
+    },
+    {
+      "entropy": 6.120599699020386,
+      "epoch": 1.4623032311516155,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947225560291565,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12961760386824608,
+      "num_tokens": 3221135.0,
+      "step": 1765
+    },
+    {
+      "entropy": 5.962483358383179,
+      "epoch": 1.4664457332228666,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004946535292686746,
+      "loss": 5.8975,
+      "mean_token_accuracy": 0.13825839310884475,
+      "num_tokens": 3230174.0,
+      "step": 1770
+    },
+    {
+      "entropy": 5.979943370819091,
+      "epoch": 1.4705882352941178,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004945840594430209,
+      "loss": 5.8871,
+      "mean_token_accuracy": 0.1381668671965599,
+      "num_tokens": 3238898.0,
+      "step": 1775
+    },
+    {
+      "entropy": 5.973515844345092,
+      "epoch": 1.4747307373653686,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004945141466923235,
+      "loss": 5.9292,
+      "mean_token_accuracy": 0.14479121565818787,
+      "num_tokens": 3247550.0,
+      "step": 1780
+    },
+    {
+      "entropy": 6.113377714157105,
+      "epoch": 1.4788732394366197,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004944437911576041,
+      "loss": 6.0779,
+      "mean_token_accuracy": 0.12900342419743538,
+      "num_tokens": 3256810.0,
+      "step": 1785
+    },
+    {
+      "entropy": 5.9020613670349125,
+      "epoch": 1.4830157415078706,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004943729929807772,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.139550269395113,
+      "num_tokens": 3265886.0,
+      "step": 1790
+    },
+    {
+      "entropy": 6.06021089553833,
+      "epoch": 1.4871582435791217,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004943017523046507,
+      "loss": 5.9273,
+      "mean_token_accuracy": 0.137468421459198,
+      "num_tokens": 3274522.0,
+      "step": 1795
+    },
+    {
+      "entropy": 6.027210426330567,
+      "epoch": 1.4913007456503728,
+      "grad_norm": 1.25,
+      "learning_rate": 0.000494230069272925,
+      "loss": 6.0486,
+      "mean_token_accuracy": 0.13558472618460654,
+      "num_tokens": 3283388.0,
+      "step": 1800
+    },
+    {
+      "entropy": 5.989331531524658,
+      "epoch": 1.495443247721624,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004941579440301923,
+      "loss": 5.9224,
+      "mean_token_accuracy": 0.1305856943130493,
+      "num_tokens": 3291887.0,
+      "step": 1805
+    },
+    {
+      "entropy": 5.96136965751648,
+      "epoch": 1.4995857497928748,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940853767219372,
+      "loss": 5.9685,
+      "mean_token_accuracy": 0.13564062863588333,
+      "num_tokens": 3300674.0,
+      "step": 1810
+    },
+    {
+      "entropy": 5.9364429950714115,
+      "epoch": 1.503728251864126,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940123674945359,
+      "loss": 5.8311,
+      "mean_token_accuracy": 0.13808463513851166,
+      "num_tokens": 3309745.0,
+      "step": 1815
+    },
+    {
+      "entropy": 6.076629638671875,
+      "epoch": 1.5078707539353768,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004939389164952561,
+      "loss": 5.9722,
+      "mean_token_accuracy": 0.1378110609948635,
+      "num_tokens": 3318888.0,
+      "step": 1820
+    },
+    {
+      "entropy": 5.8970863819122314,
+      "epoch": 1.512013256006628,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004938650238722564,
+      "loss": 5.9296,
+      "mean_token_accuracy": 0.13823849260807036,
+      "num_tokens": 3328274.0,
+      "step": 1825
+    },
+    {
+      "entropy": 6.003948831558228,
+      "epoch": 1.516155758077879,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004937906897745861,
+      "loss": 5.9387,
+      "mean_token_accuracy": 0.1468382939696312,
+      "num_tokens": 3337579.0,
+      "step": 1830
+    },
+    {
+      "entropy": 6.045965003967285,
+      "epoch": 1.5202982601491302,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004937159143521856,
+      "loss": 5.9081,
+      "mean_token_accuracy": 0.14555162489414214,
+      "num_tokens": 3346262.0,
+      "step": 1835
+    },
+    {
+      "entropy": 5.972390079498291,
+      "epoch": 1.5244407622203813,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004936406977558847,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.13030771315097808,
+      "num_tokens": 3354833.0,
+      "step": 1840
+    },
+    {
+      "entropy": 6.051387977600098,
+      "epoch": 1.5285832642916322,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004935650401374039,
+      "loss": 6.0906,
+      "mean_token_accuracy": 0.14119647368788718,
+      "num_tokens": 3364314.0,
+      "step": 1845
+    },
+    {
+      "entropy": 6.046140813827515,
+      "epoch": 1.532725766362883,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004934889416493524,
+      "loss": 5.9157,
+      "mean_token_accuracy": 0.13524662256240844,
+      "num_tokens": 3373648.0,
+      "step": 1850
+    },
+    {
+      "entropy": 5.863892507553101,
+      "epoch": 1.5368682684341342,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004934124024452295,
+      "loss": 5.7869,
+      "mean_token_accuracy": 0.1471114367246628,
+      "num_tokens": 3382919.0,
+      "step": 1855
+    },
+    {
+      "entropy": 5.888700532913208,
+      "epoch": 1.5410107705053853,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004933354226794232,
+      "loss": 5.9383,
+      "mean_token_accuracy": 0.1432707317173481,
+      "num_tokens": 3391814.0,
+      "step": 1860
+    },
+    {
+      "entropy": 6.080925798416137,
+      "epoch": 1.5451532725766364,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004932580025072098,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.13580586463212968,
+      "num_tokens": 3400392.0,
+      "step": 1865
+    },
+    {
+      "entropy": 5.996384525299073,
+      "epoch": 1.5492957746478875,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004931801420847545,
+      "loss": 6.036,
+      "mean_token_accuracy": 0.13089759424328803,
+      "num_tokens": 3410430.0,
+      "step": 1870
+    },
+    {
+      "entropy": 5.932257795333863,
+      "epoch": 1.5534382767191384,
+      "grad_norm": 0.9609375,
+      "learning_rate": 0.0004931018415691102,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.13694921880960464,
+      "num_tokens": 3420654.0,
+      "step": 1875
+    },
+    {
+      "entropy": 5.951343011856079,
+      "epoch": 1.5575807787903893,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004930231011182176,
+      "loss": 5.9986,
+      "mean_token_accuracy": 0.13937177062034606,
+      "num_tokens": 3430514.0,
+      "step": 1880
+    },
+    {
+      "entropy": 6.071512508392334,
+      "epoch": 1.5617232808616404,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004929439208909048,
+      "loss": 5.9331,
+      "mean_token_accuracy": 0.1375361390411854,
+      "num_tokens": 3439551.0,
+      "step": 1885
+    },
+    {
+      "entropy": 5.902947330474854,
+      "epoch": 1.5658657829328915,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004928643010468869,
+      "loss": 5.8911,
+      "mean_token_accuracy": 0.13622887432575226,
+      "num_tokens": 3448160.0,
+      "step": 1890
+    },
+    {
+      "entropy": 5.993059539794922,
+      "epoch": 1.5700082850041426,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004927842417467659,
+      "loss": 5.9517,
+      "mean_token_accuracy": 0.14548188596963882,
+      "num_tokens": 3457296.0,
+      "step": 1895
+    },
+    {
+      "entropy": 6.027637386322022,
+      "epoch": 1.5741507870753937,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004927037431520302,
+      "loss": 5.9073,
+      "mean_token_accuracy": 0.14102519080042838,
+      "num_tokens": 3466108.0,
+      "step": 1900
+    },
+    {
+      "entropy": 5.975209665298462,
+      "epoch": 1.5782932891466446,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004926228054250541,
+      "loss": 5.9941,
+      "mean_token_accuracy": 0.14009249955415726,
+      "num_tokens": 3475336.0,
+      "step": 1905
+    },
+    {
+      "entropy": 6.073916673660278,
+      "epoch": 1.5824357912178955,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004925414287290979,
+      "loss": 5.9668,
+      "mean_token_accuracy": 0.13723743334412575,
+      "num_tokens": 3483963.0,
+      "step": 1910
+    },
+    {
+      "entropy": 5.848618030548096,
+      "epoch": 1.5865782932891466,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004924596132283075,
+      "loss": 5.8765,
+      "mean_token_accuracy": 0.14485997408628465,
+      "num_tokens": 3492947.0,
+      "step": 1915
+    },
+    {
+      "entropy": 5.966853284835816,
+      "epoch": 1.5907207953603977,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004923773590877135,
+      "loss": 5.9651,
+      "mean_token_accuracy": 0.13334692791104316,
+      "num_tokens": 3501877.0,
+      "step": 1920
+    },
+    {
+      "entropy": 6.042904996871949,
+      "epoch": 1.5948632974316488,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004922946664732314,
+      "loss": 6.0304,
+      "mean_token_accuracy": 0.13204361274838447,
+      "num_tokens": 3510610.0,
+      "step": 1925
+    },
+    {
+      "entropy": 6.0583656311035154,
+      "epoch": 1.5990057995029,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004922115355516615,
+      "loss": 5.9841,
+      "mean_token_accuracy": 0.13304307833313941,
+      "num_tokens": 3519829.0,
+      "step": 1930
+    },
+    {
+      "entropy": 6.015839862823486,
+      "epoch": 1.6031483015741508,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004921279664906877,
+      "loss": 5.9661,
+      "mean_token_accuracy": 0.13071200698614122,
+      "num_tokens": 3529408.0,
+      "step": 1935
+    },
+    {
+      "entropy": 5.924501991271972,
+      "epoch": 1.6072908036454017,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004920439594588781,
+      "loss": 5.8955,
+      "mean_token_accuracy": 0.14675913602113724,
+      "num_tokens": 3538068.0,
+      "step": 1940
+    },
+    {
+      "entropy": 6.051935148239136,
+      "epoch": 1.6114333057166528,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000491959514625684,
+      "loss": 6.0177,
+      "mean_token_accuracy": 0.13845598921179772,
+      "num_tokens": 3547302.0,
+      "step": 1945
+    },
+    {
+      "entropy": 5.956210565567017,
+      "epoch": 1.6155758077879039,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00049187463216144,
+      "loss": 5.9024,
+      "mean_token_accuracy": 0.145584287494421,
+      "num_tokens": 3556087.0,
+      "step": 1950
+    },
+    {
+      "entropy": 6.046857452392578,
+      "epoch": 1.619718309859155,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.000491789312237363,
+      "loss": 5.9857,
+      "mean_token_accuracy": 0.13579782098531723,
+      "num_tokens": 3566235.0,
+      "step": 1955
+    },
+    {
+      "entropy": 5.983897924423218,
+      "epoch": 1.623860811930406,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004917035550255528,
+      "loss": 5.899,
+      "mean_token_accuracy": 0.14092317298054696,
+      "num_tokens": 3574762.0,
+      "step": 1960
+    },
+    {
+      "entropy": 5.904513597488403,
+      "epoch": 1.628003314001657,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000491617360698991,
+      "loss": 5.8837,
+      "mean_token_accuracy": 0.139695380628109,
+      "num_tokens": 3583359.0,
+      "step": 1965
+    },
+    {
+      "entropy": 5.920687866210938,
+      "epoch": 1.6321458160729079,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004915307294315412,
+      "loss": 5.8505,
+      "mean_token_accuracy": 0.14011457338929176,
+      "num_tokens": 3591436.0,
+      "step": 1970
+    },
+    {
+      "entropy": 5.926318550109864,
+      "epoch": 1.636288318144159,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.000491443661397948,
+      "loss": 5.9355,
+      "mean_token_accuracy": 0.13468224480748175,
+      "num_tokens": 3601054.0,
+      "step": 1975
+    },
+    {
+      "entropy": 5.974443817138672,
+      "epoch": 1.64043082021541,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004913561567738368,
+      "loss": 5.9014,
+      "mean_token_accuracy": 0.1383673779666424,
+      "num_tokens": 3610641.0,
+      "step": 1980
+    },
+    {
+      "entropy": 5.912512636184692,
+      "epoch": 1.6445733222866612,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004912682157357146,
+      "loss": 5.8447,
+      "mean_token_accuracy": 0.13975749984383584,
+      "num_tokens": 3619351.0,
+      "step": 1985
+    },
+    {
+      "entropy": 5.853101539611816,
+      "epoch": 1.6487158243579123,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004911798384609675,
+      "loss": 5.8306,
+      "mean_token_accuracy": 0.1472959376871586,
+      "num_tokens": 3627341.0,
+      "step": 1990
+    },
+    {
+      "entropy": 5.942045879364014,
+      "epoch": 1.6528583264291632,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004910910251278626,
+      "loss": 5.8918,
+      "mean_token_accuracy": 0.14801610112190247,
+      "num_tokens": 3637132.0,
+      "step": 1995
+    },
+    {
+      "entropy": 5.919465351104736,
+      "epoch": 1.6570008285004143,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004910017759155458,
+      "loss": 5.9479,
+      "mean_token_accuracy": 0.1400071859359741,
+      "num_tokens": 3646196.0,
+      "step": 2000
+    },
+    {
+      "epoch": 1.6570008285004143,
+      "eval_entropy": 5.874394122979789,
+      "eval_loss": 6.1148576736450195,
+      "eval_mean_token_accuracy": 0.1363023624046525,
+      "eval_num_tokens": 3646196.0,
+      "eval_runtime": 2.7574,
+      "eval_samples_per_second": 1358.871,
+      "eval_steps_per_second": 170.085,
+      "step": 2000
+    },
+    {
+      "entropy": 5.967284250259399,
+      "epoch": 1.6611433305716652,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004909120910040427,
+      "loss": 5.8839,
+      "mean_token_accuracy": 0.1461731344461441,
+      "num_tokens": 3654658.0,
+      "step": 2005
+    },
+    {
+      "entropy": 6.045904684066772,
+      "epoch": 1.6652858326429163,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004908219705742574,
+      "loss": 6.1605,
+      "mean_token_accuracy": 0.13489469960331918,
+      "num_tokens": 3664509.0,
+      "step": 2010
+    },
+    {
+      "entropy": 6.002130031585693,
+      "epoch": 1.6694283347141674,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004907314148079727,
+      "loss": 5.8567,
+      "mean_token_accuracy": 0.1425239197909832,
+      "num_tokens": 3672983.0,
+      "step": 2015
+    },
+    {
+      "entropy": 5.708412790298462,
+      "epoch": 1.6735708367854185,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004906404238878496,
+      "loss": 5.7221,
+      "mean_token_accuracy": 0.14639501571655272,
+      "num_tokens": 3681196.0,
+      "step": 2020
+    },
+    {
+      "entropy": 5.97982873916626,
+      "epoch": 1.6777133388566694,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004905489979974265,
+      "loss": 5.9098,
+      "mean_token_accuracy": 0.14081615954637527,
+      "num_tokens": 3690077.0,
+      "step": 2025
+    },
+    {
+      "entropy": 5.942774772644043,
+      "epoch": 1.6818558409279205,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004904571373211197,
+      "loss": 5.9906,
+      "mean_token_accuracy": 0.13563016131520272,
+      "num_tokens": 3700121.0,
+      "step": 2030
+    },
+    {
+      "entropy": 5.897730588912964,
+      "epoch": 1.6859983429991714,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000490364842044222,
+      "loss": 5.8074,
+      "mean_token_accuracy": 0.14530285224318504,
+      "num_tokens": 3709618.0,
+      "step": 2035
+    },
+    {
+      "entropy": 5.954602289199829,
+      "epoch": 1.6901408450704225,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004902721123529031,
+      "loss": 5.9869,
+      "mean_token_accuracy": 0.12953415215015412,
+      "num_tokens": 3719570.0,
+      "step": 2040
+    },
+    {
+      "entropy": 6.074023342132568,
+      "epoch": 1.6942833471416736,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000490178948434209,
+      "loss": 5.9267,
+      "mean_token_accuracy": 0.14249598532915114,
+      "num_tokens": 3729354.0,
+      "step": 2045
+    },
+    {
+      "entropy": 5.833365964889526,
+      "epoch": 1.6984258492129247,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004900853504760614,
+      "loss": 5.8409,
+      "mean_token_accuracy": 0.14450331926345825,
+      "num_tokens": 3738453.0,
+      "step": 2050
+    },
+    {
+      "entropy": 5.888468265533447,
+      "epoch": 1.7025683512841756,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004899913186672577,
+      "loss": 5.8165,
+      "mean_token_accuracy": 0.14293194860219954,
+      "num_tokens": 3747815.0,
+      "step": 2055
+    },
+    {
+      "entropy": 5.914711236953735,
+      "epoch": 1.7067108533554267,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004898968531974702,
+      "loss": 5.9249,
+      "mean_token_accuracy": 0.14642315953969956,
+      "num_tokens": 3757298.0,
+      "step": 2060
+    },
+    {
+      "entropy": 5.978992033004761,
+      "epoch": 1.7108533554266776,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004898019542572462,
+      "loss": 5.9124,
+      "mean_token_accuracy": 0.14719650894403458,
+      "num_tokens": 3765939.0,
+      "step": 2065
+    },
+    {
+      "entropy": 6.005469894409179,
+      "epoch": 1.7149958574979287,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004897066220380073,
+      "loss": 5.933,
+      "mean_token_accuracy": 0.13779435828328132,
+      "num_tokens": 3775160.0,
+      "step": 2070
+    },
+    {
+      "entropy": 5.921374797821045,
+      "epoch": 1.7191383595691798,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004896108567320489,
+      "loss": 5.831,
+      "mean_token_accuracy": 0.14186858981847764,
+      "num_tokens": 3785181.0,
+      "step": 2075
+    },
+    {
+      "entropy": 5.972924375534058,
+      "epoch": 1.723280861640431,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048951465853254,
+      "loss": 5.9444,
+      "mean_token_accuracy": 0.14323145076632499,
+      "num_tokens": 3794531.0,
+      "step": 2080
+    },
+    {
+      "entropy": 5.953138160705566,
+      "epoch": 1.7274233637116818,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004894180276335231,
+      "loss": 5.934,
+      "mean_token_accuracy": 0.1396125227212906,
+      "num_tokens": 3804602.0,
+      "step": 2085
+    },
+    {
+      "entropy": 5.9721667766571045,
+      "epoch": 1.731565865782933,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004893209642299132,
+      "loss": 5.97,
+      "mean_token_accuracy": 0.1395590640604496,
+      "num_tokens": 3813394.0,
+      "step": 2090
+    },
+    {
+      "entropy": 5.97849326133728,
+      "epoch": 1.7357083678541838,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004892234685174976,
+      "loss": 5.962,
+      "mean_token_accuracy": 0.13808128908276557,
+      "num_tokens": 3821604.0,
+      "step": 2095
+    },
+    {
+      "entropy": 5.967495775222778,
+      "epoch": 1.739850869925435,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004891255406929359,
+      "loss": 5.9564,
+      "mean_token_accuracy": 0.13652343899011612,
+      "num_tokens": 3831977.0,
+      "step": 2100
+    },
+    {
+      "entropy": 5.98737063407898,
+      "epoch": 1.743993371996686,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004890271809537595,
+      "loss": 5.9017,
+      "mean_token_accuracy": 0.1393343411386013,
+      "num_tokens": 3840684.0,
+      "step": 2105
+    },
+    {
+      "entropy": 5.870862340927124,
+      "epoch": 1.7481358740679371,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004889283894983704,
+      "loss": 5.8147,
+      "mean_token_accuracy": 0.1389534741640091,
+      "num_tokens": 3851147.0,
+      "step": 2110
+    },
+    {
+      "entropy": 6.002704238891601,
+      "epoch": 1.752278376139188,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000488829166526042,
+      "loss": 5.9838,
+      "mean_token_accuracy": 0.13991605415940284,
+      "num_tokens": 3859881.0,
+      "step": 2115
+    },
+    {
+      "entropy": 5.948231506347656,
+      "epoch": 1.7564208782104391,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004887295122369176,
+      "loss": 6.0107,
+      "mean_token_accuracy": 0.13371825441718102,
+      "num_tokens": 3870151.0,
+      "step": 2120
+    },
+    {
+      "entropy": 5.99525203704834,
+      "epoch": 1.76056338028169,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.000488629426832011,
+      "loss": 5.9313,
+      "mean_token_accuracy": 0.13850879445672035,
+      "num_tokens": 3878398.0,
+      "step": 2125
+    },
+    {
+      "entropy": 5.924004030227661,
+      "epoch": 1.7647058823529411,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004885289105132054,
+      "loss": 5.8893,
+      "mean_token_accuracy": 0.14114601090550422,
+      "num_tokens": 3888007.0,
+      "step": 2130
+    },
+    {
+      "entropy": 5.930246257781983,
+      "epoch": 1.7688483844241922,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004884279634832532,
+      "loss": 5.8728,
+      "mean_token_accuracy": 0.14278061985969542,
+      "num_tokens": 3896945.0,
+      "step": 2135
+    },
+    {
+      "entropy": 5.940092372894287,
+      "epoch": 1.7729908864954433,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004883265859457754,
+      "loss": 5.8905,
+      "mean_token_accuracy": 0.1457919418811798,
+      "num_tokens": 3906049.0,
+      "step": 2140
+    },
+    {
+      "entropy": 5.866062164306641,
+      "epoch": 1.7771333885666944,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048822477810526186,
+      "loss": 5.8422,
+      "mean_token_accuracy": 0.1388966679573059,
+      "num_tokens": 3915050.0,
+      "step": 2145
+    },
+    {
+      "entropy": 5.966696119308471,
+      "epoch": 1.7812758906379453,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00048812254016706994,
+      "loss": 5.9205,
+      "mean_token_accuracy": 0.14728582575917243,
+      "num_tokens": 3924031.0,
+      "step": 2150
+    },
+    {
+      "entropy": 5.915832757949829,
+      "epoch": 1.7854183927091962,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004880198723374247,
+      "loss": 5.9776,
+      "mean_token_accuracy": 0.14149753525853156,
+      "num_tokens": 3933756.0,
+      "step": 2155
+    },
+    {
+      "entropy": 5.959774684906006,
+      "epoch": 1.7895608947804473,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048791677482341845,
+      "loss": 5.9592,
+      "mean_token_accuracy": 0.13750381171703338,
+      "num_tokens": 3943129.0,
+      "step": 2160
+    },
+    {
+      "entropy": 5.881538438796997,
+      "epoch": 1.7937033968516984,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048781324783301016,
+      "loss": 5.7912,
+      "mean_token_accuracy": 0.14508036673069,
+      "num_tokens": 3951494.0,
+      "step": 2165
+    },
+    {
+      "entropy": 5.946735525131226,
+      "epoch": 1.7978458989229495,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048770929157502505,
+      "loss": 5.9565,
+      "mean_token_accuracy": 0.143115097284317,
+      "num_tokens": 3960588.0,
+      "step": 2170
+    },
+    {
+      "entropy": 5.9805809497833256,
+      "epoch": 1.8019884009942007,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004876049062591543,
+      "loss": 5.9226,
+      "mean_token_accuracy": 0.13506680428981782,
+      "num_tokens": 3970135.0,
+      "step": 2175
+    },
+    {
+      "entropy": 5.950060653686523,
+      "epoch": 1.8061309030654515,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048750009209595443,
+      "loss": 5.9042,
+      "mean_token_accuracy": 0.13944360390305519,
+      "num_tokens": 3979569.0,
+      "step": 2180
+    },
+    {
+      "entropy": 5.88271656036377,
+      "epoch": 1.8102734051367024,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048739484929684714,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.144245932251215,
+      "num_tokens": 3987885.0,
+      "step": 2185
+    },
+    {
+      "entropy": 5.933677864074707,
+      "epoch": 1.8144159072079535,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048728917807411856,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.13125594183802605,
+      "num_tokens": 3997726.0,
+      "step": 2190
+    },
+    {
+      "entropy": 6.008653068542481,
+      "epoch": 1.8185584092792046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004871830786409191,
+      "loss": 5.8436,
+      "mean_token_accuracy": 0.14898036047816277,
+      "num_tokens": 4006437.0,
+      "step": 2195
+    },
+    {
+      "entropy": 5.856683444976807,
+      "epoch": 1.8227009113504558,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00048707655121126296,
+      "loss": 5.8124,
+      "mean_token_accuracy": 0.14927435666322708,
+      "num_tokens": 4015326.0,
+      "step": 2200
+    },
+    {
+      "entropy": 5.924995994567871,
+      "epoch": 1.8268434134217069,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048696959600002767,
+      "loss": 5.8722,
+      "mean_token_accuracy": 0.14032577201724053,
+      "num_tokens": 4024294.0,
+      "step": 2205
+    },
+    {
+      "entropy": 5.881852293014527,
+      "epoch": 1.8309859154929577,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048686221322295347,
+      "loss": 5.9028,
+      "mean_token_accuracy": 0.14340249821543694,
+      "num_tokens": 4033341.0,
+      "step": 2210
+    },
+    {
+      "entropy": 5.951443433761597,
+      "epoch": 1.8351284175642086,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048675440309664314,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.1474481076002121,
+      "num_tokens": 4042446.0,
+      "step": 2215
+    },
+    {
+      "entropy": 5.832607173919678,
+      "epoch": 1.8392709196354597,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00048664616583856166,
+      "loss": 5.8924,
+      "mean_token_accuracy": 0.13868724405765534,
+      "num_tokens": 4051849.0,
+      "step": 2220
+    },
+    {
+      "entropy": 6.026660823822022,
+      "epoch": 1.8434134217067109,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00048653750166703516,
+      "loss": 5.9855,
+      "mean_token_accuracy": 0.1381051518023014,
+      "num_tokens": 4061075.0,
+      "step": 2225
+    },
+    {
+      "entropy": 5.976817560195923,
+      "epoch": 1.847555923777962,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004864284108012513,
+      "loss": 5.9524,
+      "mean_token_accuracy": 0.13498588278889656,
+      "num_tokens": 4071022.0,
+      "step": 2230
+    },
+    {
+      "entropy": 5.884273719787598,
+      "epoch": 1.851698425849213,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004863188934612583,
+      "loss": 5.854,
+      "mean_token_accuracy": 0.1435965158045292,
+      "num_tokens": 4080728.0,
+      "step": 2235
+    },
+    {
+      "entropy": 5.8848789691925045,
+      "epoch": 1.855840927920464,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004862089498679645,
+      "loss": 5.8121,
+      "mean_token_accuracy": 0.15146355628967284,
+      "num_tokens": 4088712.0,
+      "step": 2240
+    },
+    {
+      "entropy": 5.904728364944458,
+      "epoch": 1.8599834299917148,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004860985802431383,
+      "loss": 5.8445,
+      "mean_token_accuracy": 0.14107747822999955,
+      "num_tokens": 4097488.0,
+      "step": 2245
+    },
+    {
+      "entropy": 5.815548610687256,
+      "epoch": 1.864125932062966,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004859877848094071,
+      "loss": 5.8328,
+      "mean_token_accuracy": 0.14647450745105745,
+      "num_tokens": 4106485.0,
+      "step": 2250
+    },
+    {
+      "entropy": 5.969652986526489,
+      "epoch": 1.868268434134217,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004858765637902575,
+      "loss": 5.8016,
+      "mean_token_accuracy": 0.14588006138801574,
+      "num_tokens": 4115806.0,
+      "step": 2255
+    },
+    {
+      "entropy": 5.982199335098267,
+      "epoch": 1.8724109362054682,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004857649174100344,
+      "loss": 5.9353,
+      "mean_token_accuracy": 0.14478921219706536,
+      "num_tokens": 4124636.0,
+      "step": 2260
+    },
+    {
+      "entropy": 5.869907474517822,
+      "epoch": 1.8765534382767193,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.0004856528458939409,
+      "loss": 5.8948,
+      "mean_token_accuracy": 0.13403457626700402,
+      "num_tokens": 4133876.0,
+      "step": 2265
+    },
+    {
+      "entropy": 5.836872100830078,
+      "epoch": 1.8806959403479702,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004855403494680373,
+      "loss": 5.8159,
+      "mean_token_accuracy": 0.14096100330352784,
+      "num_tokens": 4143555.0,
+      "step": 2270
+    },
+    {
+      "entropy": 5.871636962890625,
+      "epoch": 1.884838442419221,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00048542742835924133,
+      "loss": 5.7773,
+      "mean_token_accuracy": 0.14253296032547952,
+      "num_tokens": 4153007.0,
+      "step": 2275
+    },
+    {
+      "entropy": 5.766701364517212,
+      "epoch": 1.8889809444904722,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048531408279532705,
+      "loss": 5.8171,
+      "mean_token_accuracy": 0.14552054405212403,
+      "num_tokens": 4162107.0,
+      "step": 2280
+    },
+    {
+      "entropy": 5.884533357620239,
+      "epoch": 1.8931234465617233,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048520031300492507,
+      "loss": 5.8208,
+      "mean_token_accuracy": 0.14203491136431695,
+      "num_tokens": 4170920.0,
+      "step": 2285
+    },
+    {
+      "entropy": 5.9367118835449215,
+      "epoch": 1.8972659486329744,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048508611921752124,
+      "loss": 5.8366,
+      "mean_token_accuracy": 0.14547978863120078,
+      "num_tokens": 4180226.0,
+      "step": 2290
+    },
+    {
+      "entropy": 5.804201984405518,
+      "epoch": 1.9014084507042255,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00048497150166345703,
+      "loss": 5.7799,
+      "mean_token_accuracy": 0.14307984560728074,
+      "num_tokens": 4189283.0,
+      "step": 2295
+    },
+    {
+      "entropy": 5.833661937713623,
+      "epoch": 1.9055509527754764,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004848564605739287,
+      "loss": 5.8181,
+      "mean_token_accuracy": 0.14286661818623542,
+      "num_tokens": 4199017.0,
+      "step": 2300
+    },
+    {
+      "entropy": 5.985245418548584,
+      "epoch": 1.9096934548467275,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048474099618098644,
+      "loss": 5.9557,
+      "mean_token_accuracy": 0.13776218444108962,
+      "num_tokens": 4207756.0,
+      "step": 2305
+    },
+    {
+      "entropy": 5.926583385467529,
+      "epoch": 1.9138359569179784,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004846251087175348,
+      "loss": 5.8467,
+      "mean_token_accuracy": 0.14270823299884797,
+      "num_tokens": 4216721.0,
+      "step": 2310
+    },
+    {
+      "entropy": 5.816466999053955,
+      "epoch": 1.9179784589892295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004845087984173312,
+      "loss": 5.8214,
+      "mean_token_accuracy": 0.14952016696333886,
+      "num_tokens": 4225596.0,
+      "step": 2315
+    },
+    {
+      "entropy": 5.975145244598389,
+      "epoch": 1.9221209610604806,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048439206551498644,
+      "loss": 5.8881,
+      "mean_token_accuracy": 0.14604572355747222,
+      "num_tokens": 4234500.0,
+      "step": 2320
+    },
+    {
+      "entropy": 5.83410792350769,
+      "epoch": 1.9262634631317317,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004842749102459635,
+      "loss": 5.8331,
+      "mean_token_accuracy": 0.14477182626724244,
+      "num_tokens": 4243240.0,
+      "step": 2325
+    },
+    {
+      "entropy": 5.799895906448365,
+      "epoch": 1.9304059652029826,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048415733284657727,
+      "loss": 5.8249,
+      "mean_token_accuracy": 0.14724751114845275,
+      "num_tokens": 4251892.0,
+      "step": 2330
+    },
+    {
+      "entropy": 5.914888668060303,
+      "epoch": 1.9345484672742337,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004840393335539943,
+      "loss": 5.784,
+      "mean_token_accuracy": 0.14537777602672577,
+      "num_tokens": 4261447.0,
+      "step": 2335
+    },
+    {
+      "entropy": 5.93565788269043,
+      "epoch": 1.9386909693454846,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048392091260623195,
+      "loss": 5.9202,
+      "mean_token_accuracy": 0.1471864774823189,
+      "num_tokens": 4270120.0,
+      "step": 2340
+    },
+    {
+      "entropy": 5.905978488922119,
+      "epoch": 1.9428334714167357,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048380207024215836,
+      "loss": 5.7991,
+      "mean_token_accuracy": 0.1482786476612091,
+      "num_tokens": 4278300.0,
+      "step": 2345
+    },
+    {
+      "entropy": 5.905145263671875,
+      "epoch": 1.9469759734879868,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00048368280670149145,
+      "loss": 5.8487,
+      "mean_token_accuracy": 0.1461447760462761,
+      "num_tokens": 4286454.0,
+      "step": 2350
+    },
+    {
+      "entropy": 5.805000495910645,
+      "epoch": 1.951118475559238,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004835631222247989,
+      "loss": 5.7243,
+      "mean_token_accuracy": 0.15050614029169082,
+      "num_tokens": 4294752.0,
+      "step": 2355
+    },
+    {
+      "entropy": 5.907592630386352,
+      "epoch": 1.9552609776304888,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00048344301705349735,
+      "loss": 5.7974,
+      "mean_token_accuracy": 0.14830030649900436,
+      "num_tokens": 4303195.0,
+      "step": 2360
+    },
+    {
+      "entropy": 5.841587924957276,
+      "epoch": 1.95940347970174,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048332249142985195,
+      "loss": 5.9211,
+      "mean_token_accuracy": 0.1373597078025341,
+      "num_tokens": 4311961.0,
+      "step": 2365
+    },
+    {
+      "entropy": 5.900353670120239,
+      "epoch": 1.9635459817729908,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004832015455969763,
+      "loss": 5.7748,
+      "mean_token_accuracy": 0.13879901468753814,
+      "num_tokens": 4322267.0,
+      "step": 2370
+    },
+    {
+      "entropy": 5.774641275405884,
+      "epoch": 1.9676884838442419,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048308017979883114,
+      "loss": 5.8838,
+      "mean_token_accuracy": 0.1426581546664238,
+      "num_tokens": 4330584.0,
+      "step": 2375
+    },
+    {
+      "entropy": 5.840176010131836,
+      "epoch": 1.971830985915493,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048295839428022454,
+      "loss": 5.7215,
+      "mean_token_accuracy": 0.14949245899915695,
+      "num_tokens": 4339215.0,
+      "step": 2380
+    },
+    {
+      "entropy": 5.869688034057617,
+      "epoch": 1.975973487986744,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00048283618928681127,
+      "loss": 5.7418,
+      "mean_token_accuracy": 0.1501791574060917,
+      "num_tokens": 4347711.0,
+      "step": 2385
+    },
+    {
+      "entropy": 5.764533996582031,
+      "epoch": 1.980115990057995,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004827135650650923,
+      "loss": 5.7445,
+      "mean_token_accuracy": 0.14758301600813867,
+      "num_tokens": 4356982.0,
+      "step": 2390
+    },
+    {
+      "entropy": 5.770398235321045,
+      "epoch": 1.984258492129246,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004825905218624139,
+      "loss": 5.7696,
+      "mean_token_accuracy": 0.14773683473467827,
+      "num_tokens": 4365378.0,
+      "step": 2395
+    },
+    {
+      "entropy": 5.9908288478851315,
+      "epoch": 1.988400994200497,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048246705992696756,
+      "loss": 5.8174,
+      "mean_token_accuracy": 0.14142358154058457,
+      "num_tokens": 4374007.0,
+      "step": 2400
+    },
+    {
+      "entropy": 5.9741987705230715,
+      "epoch": 1.992543496271748,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048234317950778975,
+      "loss": 5.9346,
+      "mean_token_accuracy": 0.1409923940896988,
+      "num_tokens": 4383909.0,
+      "step": 2405
+    },
+    {
+      "entropy": 5.967488718032837,
+      "epoch": 1.9966859983429992,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004822188808547607,
+      "loss": 5.9967,
+      "mean_token_accuracy": 0.13560240790247918,
+      "num_tokens": 4393145.0,
+      "step": 2410
+    },
+    {
+      "entropy": 5.751282596588135,
+      "epoch": 2.0008285004142503,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004820941642186043,
+      "loss": 5.7146,
+      "mean_token_accuracy": 0.14043126851320267,
+      "num_tokens": 4402024.0,
+      "step": 2415
+    },
+    {
+      "entropy": 5.91456356048584,
+      "epoch": 2.0049710024855014,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004819690298508879,
+      "loss": 5.5395,
+      "mean_token_accuracy": 0.1603303700685501,
+      "num_tokens": 4411377.0,
+      "step": 2420
+    },
+    {
+      "entropy": 5.758482313156128,
+      "epoch": 2.009113504556752,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048184347800402083,
+      "loss": 5.4299,
+      "mean_token_accuracy": 0.16564757078886033,
+      "num_tokens": 4419781.0,
+      "step": 2425
+    },
+    {
+      "entropy": 5.727555131912231,
+      "epoch": 2.013256006628003,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004817175089312551,
+      "loss": 5.4154,
+      "mean_token_accuracy": 0.16400155574083328,
+      "num_tokens": 4428427.0,
+      "step": 2430
+    },
+    {
+      "entropy": 5.749885892868042,
+      "epoch": 2.0173985086992543,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048159112288668403,
+      "loss": 5.4586,
+      "mean_token_accuracy": 0.15933601409196854,
+      "num_tokens": 4438156.0,
+      "step": 2435
+    },
+    {
+      "entropy": 5.876013088226318,
+      "epoch": 2.0215410107705054,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00048146432012524215,
+      "loss": 5.4819,
+      "mean_token_accuracy": 0.16306492537260056,
+      "num_tokens": 4446342.0,
+      "step": 2440
+    },
+    {
+      "entropy": 5.738983201980591,
+      "epoch": 2.0256835128417565,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00048133710090270446,
+      "loss": 5.5229,
+      "mean_token_accuracy": 0.1542331963777542,
+      "num_tokens": 4455582.0,
+      "step": 2445
+    },
+    {
+      "entropy": 5.815389633178711,
+      "epoch": 2.0298260149130076,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048120946547568596,
+      "loss": 5.5375,
+      "mean_token_accuracy": 0.15604802072048188,
+      "num_tokens": 4464518.0,
+      "step": 2450
+    },
+    {
+      "entropy": 5.927202749252319,
+      "epoch": 2.0339685169842583,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00048108141410164133,
+      "loss": 5.6588,
+      "mean_token_accuracy": 0.14534952044486998,
+      "num_tokens": 4475031.0,
+      "step": 2455
+    },
+    {
+      "entropy": 5.8722837448120115,
+      "epoch": 2.0381110190555094,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004809529470388642,
+      "loss": 5.5396,
+      "mean_token_accuracy": 0.1577153742313385,
+      "num_tokens": 4484609.0,
+      "step": 2460
+    },
+    {
+      "entropy": 5.787671709060669,
+      "epoch": 2.0422535211267605,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004808240645464866,
+      "loss": 5.5698,
+      "mean_token_accuracy": 0.15477177649736404,
+      "num_tokens": 4494238.0,
+      "step": 2465
+    },
+    {
+      "entropy": 5.684235668182373,
+      "epoch": 2.0463960231980116,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004806947668844787,
+      "loss": 5.4573,
+      "mean_token_accuracy": 0.16172746568918228,
+      "num_tokens": 4503258.0,
+      "step": 2470
+    },
+    {
+      "entropy": 5.786364412307739,
+      "epoch": 2.0505385252692627,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048056505431364794,
+      "loss": 5.5091,
+      "mean_token_accuracy": 0.15975141078233718,
+      "num_tokens": 4512071.0,
+      "step": 2475
+    },
+    {
+      "entropy": 5.736668491363526,
+      "epoch": 2.054681027340514,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00048043492709563877,
+      "loss": 5.3461,
+      "mean_token_accuracy": 0.17059434503316878,
+      "num_tokens": 4520219.0,
+      "step": 2480
+    },
+    {
+      "entropy": 5.672813034057617,
+      "epoch": 2.0588235294117645,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048030438549293193,
+      "loss": 5.5568,
+      "mean_token_accuracy": 0.15284566581249237,
+      "num_tokens": 4529386.0,
+      "step": 2485
+    },
+    {
+      "entropy": 5.830966377258301,
+      "epoch": 2.0629660314830156,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00048017342976884424,
+      "loss": 5.5638,
+      "mean_token_accuracy": 0.15199215039610864,
+      "num_tokens": 4538860.0,
+      "step": 2490
+    },
+    {
+      "entropy": 5.761076402664185,
+      "epoch": 2.0671085335542667,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048004206018752773,
+      "loss": 5.5299,
+      "mean_token_accuracy": 0.15335657596588134,
+      "num_tokens": 4547842.0,
+      "step": 2495
+    },
+    {
+      "entropy": 5.733208799362183,
+      "epoch": 2.071251035625518,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047991027701396895,
+      "loss": 5.5026,
+      "mean_token_accuracy": 0.15411428660154342,
+      "num_tokens": 4556238.0,
+      "step": 2500
+    },
+    {
+      "epoch": 2.071251035625518,
+      "eval_entropy": 5.642364594473768,
+      "eval_loss": 6.032641410827637,
+      "eval_mean_token_accuracy": 0.1416530203399882,
+      "eval_num_tokens": 4556238.0,
+      "eval_runtime": 2.7817,
+      "eval_samples_per_second": 1347.034,
+      "eval_steps_per_second": 168.604,
+      "step": 2500
+    },
+    {
+      "entropy": 5.732073068618774,
+      "epoch": 2.075393537696769,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004797780805139892,
+      "loss": 5.5069,
+      "mean_token_accuracy": 0.1587075412273407,
+      "num_tokens": 4565684.0,
+      "step": 2505
+    },
+    {
+      "entropy": 5.722462224960327,
+      "epoch": 2.07953603976802,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004796454709542432,
+      "loss": 5.467,
+      "mean_token_accuracy": 0.1590041533112526,
+      "num_tokens": 4575001.0,
+      "step": 2510
+    },
+    {
+      "entropy": 5.797696113586426,
+      "epoch": 2.083678541839271,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004795124486022189,
+      "loss": 5.5732,
+      "mean_token_accuracy": 0.15362634360790253,
+      "num_tokens": 4584128.0,
+      "step": 2515
+    },
+    {
+      "entropy": 5.711380529403686,
+      "epoch": 2.087821043910522,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047937901372623694,
+      "loss": 5.4191,
+      "mean_token_accuracy": 0.16894411891698838,
+      "num_tokens": 4593011.0,
+      "step": 2520
+    },
+    {
+      "entropy": 5.688450145721435,
+      "epoch": 2.091963545981773,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00047924516659545005,
+      "loss": 5.4668,
+      "mean_token_accuracy": 0.16164053976535797,
+      "num_tokens": 4602676.0,
+      "step": 2525
+    },
+    {
+      "entropy": 5.79151463508606,
+      "epoch": 2.096106048053024,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004791109074798425,
+      "loss": 5.5522,
+      "mean_token_accuracy": 0.15433578938245773,
+      "num_tokens": 4611915.0,
+      "step": 2530
+    },
+    {
+      "entropy": 5.748647403717041,
+      "epoch": 2.100248550124275,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004789762366502296,
+      "loss": 5.5184,
+      "mean_token_accuracy": 0.15959300100803375,
+      "num_tokens": 4621396.0,
+      "step": 2535
+    },
+    {
+      "entropy": 5.7374598503112795,
+      "epoch": 2.1043910521955262,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004788411543782571,
+      "loss": 5.5201,
+      "mean_token_accuracy": 0.1591552659869194,
+      "num_tokens": 4630533.0,
+      "step": 2540
+    },
+    {
+      "entropy": 5.678498649597168,
+      "epoch": 2.108533554266777,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004787056609364008,
+      "loss": 5.4599,
+      "mean_token_accuracy": 0.1542729303240776,
+      "num_tokens": 4639023.0,
+      "step": 2545
+    },
+    {
+      "entropy": 5.711474943161011,
+      "epoch": 2.112676056338028,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004785697565979657,
+      "loss": 5.4732,
+      "mean_token_accuracy": 0.15900285094976424,
+      "num_tokens": 4647975.0,
+      "step": 2550
+    },
+    {
+      "entropy": 5.72883243560791,
+      "epoch": 2.116818558409279,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004784334416370857,
+      "loss": 5.498,
+      "mean_token_accuracy": 0.15594277828931807,
+      "num_tokens": 4657555.0,
+      "step": 2555
+    },
+    {
+      "entropy": 5.745093822479248,
+      "epoch": 2.1209610604805302,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004782967163287231,
+      "loss": 5.4193,
+      "mean_token_accuracy": 0.16100153774023057,
+      "num_tokens": 4667228.0,
+      "step": 2560
+    },
+    {
+      "entropy": 5.716836738586426,
+      "epoch": 2.1251035625517813,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047815958094866756,
+      "loss": 5.4957,
+      "mean_token_accuracy": 0.1513967014849186,
+      "num_tokens": 4676723.0,
+      "step": 2565
+    },
+    {
+      "entropy": 5.7276163578033445,
+      "epoch": 2.1292460646230325,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004780220357735363,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.15479894131422042,
+      "num_tokens": 4686241.0,
+      "step": 2570
+    },
+    {
+      "entropy": 5.764811038970947,
+      "epoch": 2.1333885666942836,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047788408108077294,
+      "loss": 5.5404,
+      "mean_token_accuracy": 0.1561874568462372,
+      "num_tokens": 4695195.0,
+      "step": 2575
+    },
+    {
+      "entropy": 5.739376497268677,
+      "epoch": 2.1375310687655342,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004777457171486471,
+      "loss": 5.5871,
+      "mean_token_accuracy": 0.15551834553480148,
+      "num_tokens": 4704716.0,
+      "step": 2580
+    },
+    {
+      "entropy": 5.769967555999756,
+      "epoch": 2.1416735708367853,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004776069442562541,
+      "loss": 5.5562,
+      "mean_token_accuracy": 0.15339450240135194,
+      "num_tokens": 4713720.0,
+      "step": 2585
+    },
+    {
+      "entropy": 5.733342504501342,
+      "epoch": 2.1458160729080364,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004774677626835138,
+      "loss": 5.5366,
+      "mean_token_accuracy": 0.15301723331212996,
+      "num_tokens": 4722428.0,
+      "step": 2590
+    },
+    {
+      "entropy": 5.787648677825928,
+      "epoch": 2.1499585749792876,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00047732817271117084,
+      "loss": 5.5365,
+      "mean_token_accuracy": 0.15334974452853203,
+      "num_tokens": 4732395.0,
+      "step": 2595
+    },
+    {
+      "entropy": 5.773520803451538,
+      "epoch": 2.1541010770505387,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004771881746207934,
+      "loss": 5.5206,
+      "mean_token_accuracy": 0.15674114525318145,
+      "num_tokens": 4741071.0,
+      "step": 2600
+    },
+    {
+      "entropy": 5.607013797760009,
+      "epoch": 2.1582435791217898,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047704776869477285,
+      "loss": 5.5153,
+      "mean_token_accuracy": 0.15076877027750016,
+      "num_tokens": 4749876.0,
+      "step": 2605
+    },
+    {
+      "entropy": 5.784313154220581,
+      "epoch": 2.1623860811930404,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00047690695521632344,
+      "loss": 5.4669,
+      "mean_token_accuracy": 0.16002854704856873,
+      "num_tokens": 4758721.0,
+      "step": 2610
+    },
+    {
+      "entropy": 5.6919313907623295,
+      "epoch": 2.1665285832642915,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047676573446948114,
+      "loss": 5.4832,
+      "mean_token_accuracy": 0.15925751626491547,
+      "num_tokens": 4767162.0,
+      "step": 2615
+    },
+    {
+      "entropy": 5.71550760269165,
+      "epoch": 2.1706710853355426,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047662410673910376,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.1629578560590744,
+      "num_tokens": 4776397.0,
+      "step": 2620
+    },
+    {
+      "entropy": 5.665811157226562,
+      "epoch": 2.1748135874067938,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047648207231087,
+      "loss": 5.4579,
+      "mean_token_accuracy": 0.15894875824451446,
+      "num_tokens": 4784822.0,
+      "step": 2625
+    },
+    {
+      "entropy": 5.71003270149231,
+      "epoch": 2.178956089478045,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004763396314712786,
+      "loss": 5.5297,
+      "mean_token_accuracy": 0.15831661075353623,
+      "num_tokens": 4794272.0,
+      "step": 2630
+    },
+    {
+      "entropy": 5.64026665687561,
+      "epoch": 2.183098591549296,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004761967845076484,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.15510014593601226,
+      "num_tokens": 4804314.0,
+      "step": 2635
+    },
+    {
+      "entropy": 5.6847330093383786,
+      "epoch": 2.1872410936205466,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004760535317081174,
+      "loss": 5.4694,
+      "mean_token_accuracy": 0.15845878273248673,
+      "num_tokens": 4812685.0,
+      "step": 2640
+    },
+    {
+      "entropy": 5.715235567092895,
+      "epoch": 2.1913835956917977,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047590987336164207,
+      "loss": 5.5532,
+      "mean_token_accuracy": 0.1562129870057106,
+      "num_tokens": 4821761.0,
+      "step": 2645
+    },
+    {
+      "entropy": 5.741413831710815,
+      "epoch": 2.195526097763049,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00047576580975799705,
+      "loss": 5.5307,
+      "mean_token_accuracy": 0.1623195379972458,
+      "num_tokens": 4830515.0,
+      "step": 2650
+    },
+    {
+      "entropy": 5.782008934020996,
+      "epoch": 2.1996685998343,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004756213411877743,
+      "loss": 5.5059,
+      "mean_token_accuracy": 0.14879967421293258,
+      "num_tokens": 4840741.0,
+      "step": 2655
+    },
+    {
+      "entropy": 5.612497425079345,
+      "epoch": 2.203811101905551,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047547646794238277,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.16198884546756745,
+      "num_tokens": 4849571.0,
+      "step": 2660
+    },
+    {
+      "entropy": 5.689143991470337,
+      "epoch": 2.207953603976802,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047533119031404757,
+      "loss": 5.4138,
+      "mean_token_accuracy": 0.1696420982480049,
+      "num_tokens": 4857194.0,
+      "step": 2665
+    },
+    {
+      "entropy": 5.632621717453003,
+      "epoch": 2.212096106048053,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00047518550859580966,
+      "loss": 5.5074,
+      "mean_token_accuracy": 0.1592964008450508,
+      "num_tokens": 4865894.0,
+      "step": 2670
+    },
+    {
+      "entropy": 5.74289755821228,
+      "epoch": 2.216238608119304,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004750394230815249,
+      "loss": 5.5268,
+      "mean_token_accuracy": 0.15829544067382811,
+      "num_tokens": 4875131.0,
+      "step": 2675
+    },
+    {
+      "entropy": 5.670539522171021,
+      "epoch": 2.220381110190555,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047489293406586375,
+      "loss": 5.3777,
+      "mean_token_accuracy": 0.1620385766029358,
+      "num_tokens": 4884098.0,
+      "step": 2680
+    },
+    {
+      "entropy": 5.657269620895386,
+      "epoch": 2.224523612261806,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004747460418443106,
+      "loss": 5.4373,
+      "mean_token_accuracy": 0.15941016003489494,
+      "num_tokens": 4892963.0,
+      "step": 2685
+    },
+    {
+      "entropy": 5.690485191345215,
+      "epoch": 2.2286661143330573,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047459874671316305,
+      "loss": 5.4903,
+      "mean_token_accuracy": 0.15749651044607163,
+      "num_tokens": 4902097.0,
+      "step": 2690
+    },
+    {
+      "entropy": 5.608357000350952,
+      "epoch": 2.2328086164043084,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00047445104896953153,
+      "loss": 5.4015,
+      "mean_token_accuracy": 0.16532779037952422,
+      "num_tokens": 4910469.0,
+      "step": 2695
+    },
+    {
+      "entropy": 5.82715744972229,
+      "epoch": 2.236951118475559,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047430294891133846,
+      "loss": 5.6892,
+      "mean_token_accuracy": 0.1501491665840149,
+      "num_tokens": 4921024.0,
+      "step": 2700
+    },
+    {
+      "entropy": 5.749764776229858,
+      "epoch": 2.24109362054681,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004741544468373179,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15474629402160645,
+      "num_tokens": 4930297.0,
+      "step": 2705
+    },
+    {
+      "entropy": 5.687776947021485,
+      "epoch": 2.2452361226180613,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00047400554304701474,
+      "loss": 5.4692,
+      "mean_token_accuracy": 0.16049361675977708,
+      "num_tokens": 4938971.0,
+      "step": 2710
+    },
+    {
+      "entropy": 5.571053695678711,
+      "epoch": 2.2493786246893124,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047385623784078427,
+      "loss": 5.4899,
+      "mean_token_accuracy": 0.15803302526474,
+      "num_tokens": 4948531.0,
+      "step": 2715
+    },
+    {
+      "entropy": 5.787879133224488,
+      "epoch": 2.2535211267605635,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004737065315197913,
+      "loss": 5.5664,
+      "mean_token_accuracy": 0.1587745025753975,
+      "num_tokens": 4957430.0,
+      "step": 2720
+    },
+    {
+      "entropy": 5.720958280563354,
+      "epoch": 2.2576636288318146,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047355642438600987,
+      "loss": 5.5478,
+      "mean_token_accuracy": 0.16044806241989135,
+      "num_tokens": 4966681.0,
+      "step": 2725
+    },
+    {
+      "entropy": 5.638753175735474,
+      "epoch": 2.2618061309030653,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004734059167422225,
+      "loss": 5.4123,
+      "mean_token_accuracy": 0.1639780133962631,
+      "num_tokens": 4975327.0,
+      "step": 2730
+    },
+    {
+      "entropy": 5.634887552261352,
+      "epoch": 2.2659486329743164,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047325500889201956,
+      "loss": 5.4725,
+      "mean_token_accuracy": 0.16207436099648476,
+      "num_tokens": 4983741.0,
+      "step": 2735
+    },
+    {
+      "entropy": 5.673438644409179,
+      "epoch": 2.2700911350455675,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004731037011397986,
+      "loss": 5.5662,
+      "mean_token_accuracy": 0.15884149968624114,
+      "num_tokens": 4993171.0,
+      "step": 2740
+    },
+    {
+      "entropy": 5.752307653427124,
+      "epoch": 2.2742336371168186,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047295199379076403,
+      "loss": 5.6,
+      "mean_token_accuracy": 0.15322241187095642,
+      "num_tokens": 5002810.0,
+      "step": 2745
+    },
+    {
+      "entropy": 5.7073346138000485,
+      "epoch": 2.2783761391880697,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000472799887150926,
+      "loss": 5.4893,
+      "mean_token_accuracy": 0.15741414427757264,
+      "num_tokens": 5011875.0,
+      "step": 2750
+    },
+    {
+      "entropy": 5.679959297180176,
+      "epoch": 2.282518641259321,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004726473815271003,
+      "loss": 5.5349,
+      "mean_token_accuracy": 0.15855301022529603,
+      "num_tokens": 5020780.0,
+      "step": 2755
+    },
+    {
+      "entropy": 5.669374132156372,
+      "epoch": 2.286661143330572,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047249447722690747,
+      "loss": 5.4331,
+      "mean_token_accuracy": 0.16046710908412934,
+      "num_tokens": 5029896.0,
+      "step": 2760
+    },
+    {
+      "entropy": 5.652454280853272,
+      "epoch": 2.2908036454018226,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047234117455877215,
+      "loss": 5.4932,
+      "mean_token_accuracy": 0.1545606277883053,
+      "num_tokens": 5038956.0,
+      "step": 2765
+    },
+    {
+      "entropy": 5.639697694778443,
+      "epoch": 2.2949461474730737,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004721874738319225,
+      "loss": 5.4594,
+      "mean_token_accuracy": 0.17258906960487366,
+      "num_tokens": 5047005.0,
+      "step": 2770
+    },
+    {
+      "entropy": 5.655842065811157,
+      "epoch": 2.299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004720333753563898,
+      "loss": 5.5008,
+      "mean_token_accuracy": 0.15116662830114364,
+      "num_tokens": 5056475.0,
+      "step": 2775
+    },
+    {
+      "entropy": 5.704644584655762,
+      "epoch": 2.303231151615576,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00047187887944300747,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16439782381057738,
+      "num_tokens": 5064978.0,
+      "step": 2780
+    },
+    {
+      "entropy": 5.726413679122925,
+      "epoch": 2.307373653686827,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004717239864034107,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.15506226867437362,
+      "num_tokens": 5074235.0,
+      "step": 2785
+    },
+    {
+      "entropy": 5.662968683242798,
+      "epoch": 2.3115161557580777,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047156869655003554,
+      "loss": 5.4481,
+      "mean_token_accuracy": 0.16141191571950914,
+      "num_tokens": 5082386.0,
+      "step": 2790
+    },
+    {
+      "entropy": 5.631324100494385,
+      "epoch": 2.315658657829329,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047141301019611875,
+      "loss": 5.4164,
+      "mean_token_accuracy": 0.16636510640382768,
+      "num_tokens": 5090634.0,
+      "step": 2795
+    },
+    {
+      "entropy": 5.818879795074463,
+      "epoch": 2.31980115990058,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004712569276556967,
+      "loss": 5.5906,
+      "mean_token_accuracy": 0.14937217235565187,
+      "num_tokens": 5099003.0,
+      "step": 2800
+    },
+    {
+      "entropy": 5.617757177352905,
+      "epoch": 2.323943661971831,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00047110044924360484,
+      "loss": 5.6681,
+      "mean_token_accuracy": 0.1565680392086506,
+      "num_tokens": 5108631.0,
+      "step": 2805
+    },
+    {
+      "entropy": 5.732515859603882,
+      "epoch": 2.328086164043082,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00047094357527547725,
+      "loss": 5.4545,
+      "mean_token_accuracy": 0.15828853249549865,
+      "num_tokens": 5117309.0,
+      "step": 2810
+    },
+    {
+      "entropy": 5.686485624313354,
+      "epoch": 2.332228666114333,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004707863060677459,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.1627561032772064,
+      "num_tokens": 5126305.0,
+      "step": 2815
+    },
+    {
+      "entropy": 5.821760654449463,
+      "epoch": 2.3363711681855843,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00047062864193764,
+      "loss": 5.6022,
+      "mean_token_accuracy": 0.15580221712589265,
+      "num_tokens": 5135338.0,
+      "step": 2820
+    },
+    {
+      "entropy": 5.676449155807495,
+      "epoch": 2.340513670256835,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047047058320318525,
+      "loss": 5.5298,
+      "mean_token_accuracy": 0.16162888556718827,
+      "num_tokens": 5144518.0,
+      "step": 2825
+    },
+    {
+      "entropy": 5.702890157699585,
+      "epoch": 2.344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004703121301832034,
+      "loss": 5.6262,
+      "mean_token_accuracy": 0.15101130157709122,
+      "num_tokens": 5154102.0,
+      "step": 2830
+    },
+    {
+      "entropy": 5.7891247272491455,
+      "epoch": 2.348798674399337,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047015328319731153,
+      "loss": 5.5642,
+      "mean_token_accuracy": 0.15612353384494781,
+      "num_tokens": 5163719.0,
+      "step": 2835
+    },
+    {
+      "entropy": 5.677855682373047,
+      "epoch": 2.3529411764705883,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004699940425659215,
+      "loss": 5.5247,
+      "mean_token_accuracy": 0.15519936084747316,
+      "num_tokens": 5173192.0,
+      "step": 2840
+    },
+    {
+      "entropy": 5.622324132919312,
+      "epoch": 2.3570836785418394,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00046983440861023877,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.1663823500275612,
+      "num_tokens": 5182438.0,
+      "step": 2845
+    },
+    {
+      "entropy": 5.699106454849243,
+      "epoch": 2.36122618061309,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046967438165226275,
+      "loss": 5.6015,
+      "mean_token_accuracy": 0.15352728664875032,
+      "num_tokens": 5191595.0,
+      "step": 2850
+    },
+    {
+      "entropy": 5.659265756607056,
+      "epoch": 2.365368682684341,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004695139620147851,
+      "loss": 5.4682,
+      "mean_token_accuracy": 0.1643056571483612,
+      "num_tokens": 5200174.0,
+      "step": 2855
+    },
+    {
+      "entropy": 5.713242053985596,
+      "epoch": 2.3695111847555923,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046935315002138994,
+      "loss": 5.5804,
+      "mean_token_accuracy": 0.15417435318231582,
+      "num_tokens": 5210454.0,
+      "step": 2860
+    },
+    {
+      "entropy": 5.727554702758789,
+      "epoch": 2.3736536868268434,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004691919459964525,
+      "loss": 5.5019,
+      "mean_token_accuracy": 0.16056040227413176,
+      "num_tokens": 5219243.0,
+      "step": 2865
+    },
+    {
+      "entropy": 5.5862212657928465,
+      "epoch": 2.3777961888980945,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046903035026513894,
+      "loss": 5.4319,
+      "mean_token_accuracy": 0.1613735228776932,
+      "num_tokens": 5228656.0,
+      "step": 2870
+    },
+    {
+      "entropy": 5.587289905548095,
+      "epoch": 2.3819386909693456,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004688683631534056,
+      "loss": 5.4859,
+      "mean_token_accuracy": 0.156366066634655,
+      "num_tokens": 5237807.0,
+      "step": 2875
+    },
+    {
+      "entropy": 5.775411653518677,
+      "epoch": 2.3860811930405967,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004687059849879981,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.1609719067811966,
+      "num_tokens": 5247432.0,
+      "step": 2880
+    },
+    {
+      "entropy": 5.597807741165161,
+      "epoch": 2.3902236951118474,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00046854321609645093,
+      "loss": 5.4145,
+      "mean_token_accuracy": 0.16111126840114592,
+      "num_tokens": 5256680.0,
+      "step": 2885
+    },
+    {
+      "entropy": 5.6380726337432865,
+      "epoch": 2.3943661971830985,
+      "grad_norm": 2.15625,
+      "learning_rate": 0.00046838005680708677,
+      "loss": 5.5296,
+      "mean_token_accuracy": 0.14821895360946655,
+      "num_tokens": 5266793.0,
+      "step": 2890
+    },
+    {
+      "entropy": 5.710390281677246,
+      "epoch": 2.3985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046821650744901573,
+      "loss": 5.4452,
+      "mean_token_accuracy": 0.15857197493314742,
+      "num_tokens": 5275028.0,
+      "step": 2895
+    },
+    {
+      "entropy": 5.598506593704224,
+      "epoch": 2.4026512013256007,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004680525683521347,
+      "loss": 5.5226,
+      "mean_token_accuracy": 0.1566852644085884,
+      "num_tokens": 5284162.0,
+      "step": 2900
+    },
+    {
+      "entropy": 5.757242631912232,
+      "epoch": 2.406793703396852,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004678882398471269,
+      "loss": 5.5911,
+      "mean_token_accuracy": 0.15474308133125306,
+      "num_tokens": 5293263.0,
+      "step": 2905
+    },
+    {
+      "entropy": 5.654598569869995,
+      "epoch": 2.4109362054681025,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046772352226546066,
+      "loss": 5.477,
+      "mean_token_accuracy": 0.1666618600487709,
+      "num_tokens": 5301373.0,
+      "step": 2910
+    },
+    {
+      "entropy": 5.643638467788696,
+      "epoch": 2.4150787075393536,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004675584159393895,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.15203802064061164,
+      "num_tokens": 5311009.0,
+      "step": 2915
+    },
+    {
+      "entropy": 5.699149656295776,
+      "epoch": 2.4192212096106047,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046739292120195083,
+      "loss": 5.5245,
+      "mean_token_accuracy": 0.16085631400346756,
+      "num_tokens": 5320341.0,
+      "step": 2920
+    },
+    {
+      "entropy": 5.642888498306275,
+      "epoch": 2.423363711681856,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004672270383869657,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1610630214214325,
+      "num_tokens": 5329250.0,
+      "step": 2925
+    },
+    {
+      "entropy": 5.62935357093811,
+      "epoch": 2.427506213753107,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004670607678290379,
+      "loss": 5.4471,
+      "mean_token_accuracy": 0.16571807861328125,
+      "num_tokens": 5336515.0,
+      "step": 2930
+    },
+    {
+      "entropy": 5.655415058135986,
+      "epoch": 2.431648715824358,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004668941098635532,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.1595415398478508,
+      "num_tokens": 5346043.0,
+      "step": 2935
+    },
+    {
+      "entropy": 5.642036104202271,
+      "epoch": 2.435791217895609,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00046672706482667897,
+      "loss": 5.4925,
+      "mean_token_accuracy": 0.15832271426916122,
+      "num_tokens": 5355124.0,
+      "step": 2940
+    },
+    {
+      "entropy": 5.647988367080688,
+      "epoch": 2.43993371996686,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004665596330553633,
+      "loss": 5.5051,
+      "mean_token_accuracy": 0.1597411409020424,
+      "num_tokens": 5364556.0,
+      "step": 2945
+    },
+    {
+      "entropy": 5.67459397315979,
+      "epoch": 2.444076222038111,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046639181488733445,
+      "loss": 5.5316,
+      "mean_token_accuracy": 0.15941161364316941,
+      "num_tokens": 5373778.0,
+      "step": 2950
+    },
+    {
+      "entropy": 5.725692987442017,
+      "epoch": 2.448218724109362,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004662236106610999,
+      "loss": 5.5123,
+      "mean_token_accuracy": 0.15816445648670197,
+      "num_tokens": 5382633.0,
+      "step": 2955
+    },
+    {
+      "entropy": 5.5606146335601805,
+      "epoch": 2.452361226180613,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00046605502071594604,
+      "loss": 5.4163,
+      "mean_token_accuracy": 0.16387673169374467,
+      "num_tokens": 5391442.0,
+      "step": 2960
+    },
+    {
+      "entropy": 5.569208765029908,
+      "epoch": 2.4565037282518642,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004658860453919371,
+      "loss": 5.4388,
+      "mean_token_accuracy": 0.1621423229575157,
+      "num_tokens": 5400504.0,
+      "step": 2965
+    },
+    {
+      "entropy": 5.587312078475952,
+      "epoch": 2.460646230323115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004657166850299149,
+      "loss": 5.4448,
+      "mean_token_accuracy": 0.16361159086227417,
+      "num_tokens": 5408939.0,
+      "step": 2970
+    },
+    {
+      "entropy": 5.629118537902832,
+      "epoch": 2.464788732394366,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004655469399714978,
+      "loss": 5.4722,
+      "mean_token_accuracy": 0.1575179159641266,
+      "num_tokens": 5418934.0,
+      "step": 2975
+    },
+    {
+      "entropy": 5.572103595733642,
+      "epoch": 2.468931234465617,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004653768105590799,
+      "loss": 5.4955,
+      "mean_token_accuracy": 0.16008511185646057,
+      "num_tokens": 5427894.0,
+      "step": 2980
+    },
+    {
+      "entropy": 5.683330011367798,
+      "epoch": 2.4730737365368682,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046520629713583115,
+      "loss": 5.5003,
+      "mean_token_accuracy": 0.1613202139735222,
+      "num_tokens": 5436830.0,
+      "step": 2985
+    },
+    {
+      "entropy": 5.597742080688477,
+      "epoch": 2.4772162386081193,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046503540004569555,
+      "loss": 5.4814,
+      "mean_token_accuracy": 0.16423845291137695,
+      "num_tokens": 5445504.0,
+      "step": 2990
+    },
+    {
+      "entropy": 5.679887342453003,
+      "epoch": 2.4813587406793705,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046486411963339125,
+      "loss": 5.5405,
+      "mean_token_accuracy": 0.15501321628689765,
+      "num_tokens": 5455378.0,
+      "step": 2995
+    },
+    {
+      "entropy": 5.712473011016845,
+      "epoch": 2.4855012427506216,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046469245624440955,
+      "loss": 5.6107,
+      "mean_token_accuracy": 0.1589423656463623,
+      "num_tokens": 5465334.0,
+      "step": 3000
+    },
+    {
+      "epoch": 2.4855012427506216,
+      "eval_entropy": 5.590163738234465,
+      "eval_loss": 5.965892314910889,
+      "eval_mean_token_accuracy": 0.14734836894947329,
+      "eval_num_tokens": 5465334.0,
+      "eval_runtime": 2.7526,
+      "eval_samples_per_second": 1361.234,
+      "eval_steps_per_second": 170.381,
+      "step": 3000
+    },
+    {
+      "entropy": 5.751126146316528,
+      "epoch": 2.4896437448218722,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046452041022501423,
+      "loss": 5.5858,
+      "mean_token_accuracy": 0.15555662512779236,
+      "num_tokens": 5475701.0,
+      "step": 3005
+    },
+    {
+      "entropy": 5.699931526184082,
+      "epoch": 2.4937862468931233,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004643479819222411,
+      "loss": 5.4828,
+      "mean_token_accuracy": 0.16229774355888366,
+      "num_tokens": 5485244.0,
+      "step": 3010
+    },
+    {
+      "entropy": 5.596950387954712,
+      "epoch": 2.4979287489643744,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046417517168389664,
+      "loss": 5.4434,
+      "mean_token_accuracy": 0.1682340309023857,
+      "num_tokens": 5493587.0,
+      "step": 3015
+    },
+    {
+      "entropy": 5.6203169345855715,
+      "epoch": 2.5020712510356256,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004640019798585581,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.15738681554794312,
+      "num_tokens": 5503117.0,
+      "step": 3020
+    },
+    {
+      "entropy": 5.762682390213013,
+      "epoch": 2.5062137531068767,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046382840679557233,
+      "loss": 5.5352,
+      "mean_token_accuracy": 0.16024575680494307,
+      "num_tokens": 5512742.0,
+      "step": 3025
+    },
+    {
+      "entropy": 5.647499704360962,
+      "epoch": 2.5103562551781273,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00046365445284505516,
+      "loss": 5.4968,
+      "mean_token_accuracy": 0.16166605204343795,
+      "num_tokens": 5521862.0,
+      "step": 3030
+    },
+    {
+      "entropy": 5.597900772094727,
+      "epoch": 2.5144987572493784,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.0004634801183578907,
+      "loss": 5.488,
+      "mean_token_accuracy": 0.1608501434326172,
+      "num_tokens": 5531244.0,
+      "step": 3035
+    },
+    {
+      "entropy": 5.655751419067383,
+      "epoch": 2.5186412593206295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046330540368573063,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15176820158958435,
+      "num_tokens": 5540786.0,
+      "step": 3040
+    },
+    {
+      "entropy": 5.7291028022766115,
+      "epoch": 2.5227837613918807,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046313030918099365,
+      "loss": 5.5224,
+      "mean_token_accuracy": 0.1602902241051197,
+      "num_tokens": 5549961.0,
+      "step": 3045
+    },
+    {
+      "entropy": 5.620108366012573,
+      "epoch": 2.5269262634631318,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00046295483519686437,
+      "loss": 5.4591,
+      "mean_token_accuracy": 0.16417455673217773,
+      "num_tokens": 5558941.0,
+      "step": 3050
+    },
+    {
+      "entropy": 5.644694232940674,
+      "epoch": 2.531068765534383,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046277898208729306,
+      "loss": 5.4673,
+      "mean_token_accuracy": 0.16716189235448836,
+      "num_tokens": 5567630.0,
+      "step": 3055
+    },
+    {
+      "entropy": 5.586954879760742,
+      "epoch": 2.535211267605634,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004626027502069947,
+      "loss": 5.4301,
+      "mean_token_accuracy": 0.16521373838186265,
+      "num_tokens": 5576430.0,
+      "step": 3060
+    },
+    {
+      "entropy": 5.650178289413452,
+      "epoch": 2.539353769676885,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046242613991144814,
+      "loss": 5.5444,
+      "mean_token_accuracy": 0.1609214127063751,
+      "num_tokens": 5584785.0,
+      "step": 3065
+    },
+    {
+      "entropy": 5.585511493682861,
+      "epoch": 2.5434962717481358,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046224915155689586,
+      "loss": 5.478,
+      "mean_token_accuracy": 0.16044741719961167,
+      "num_tokens": 5594583.0,
+      "step": 3070
+    },
+    {
+      "entropy": 5.638197040557861,
+      "epoch": 2.547638773819387,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046207178550034244,
+      "loss": 5.4306,
+      "mean_token_accuracy": 0.1608849883079529,
+      "num_tokens": 5603498.0,
+      "step": 3075
+    },
+    {
+      "entropy": 5.7161966323852536,
+      "epoch": 2.551781275890638,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004618940420995547,
+      "loss": 5.5685,
+      "mean_token_accuracy": 0.15440558269619942,
+      "num_tokens": 5613101.0,
+      "step": 3080
+    },
+    {
+      "entropy": 5.665849494934082,
+      "epoch": 2.555923777961889,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004617159217130606,
+      "loss": 5.5409,
+      "mean_token_accuracy": 0.1569191187620163,
+      "num_tokens": 5621821.0,
+      "step": 3085
+    },
+    {
+      "entropy": 5.711861181259155,
+      "epoch": 2.5600662800331397,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004615374247001483,
+      "loss": 5.5738,
+      "mean_token_accuracy": 0.15701586306095122,
+      "num_tokens": 5631006.0,
+      "step": 3090
+    },
+    {
+      "entropy": 5.674423551559448,
+      "epoch": 2.564208782104391,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004613585514208659,
+      "loss": 5.5295,
+      "mean_token_accuracy": 0.15232180580496787,
+      "num_tokens": 5640159.0,
+      "step": 3095
+    },
+    {
+      "entropy": 5.592060613632202,
+      "epoch": 2.568351284175642,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046117930223602016,
+      "loss": 5.4003,
+      "mean_token_accuracy": 0.1694741129875183,
+      "num_tokens": 5648369.0,
+      "step": 3100
+    },
+    {
+      "entropy": 5.5982965469360355,
+      "epoch": 2.572493786246893,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004609996775071765,
+      "loss": 5.459,
+      "mean_token_accuracy": 0.1591326355934143,
+      "num_tokens": 5657669.0,
+      "step": 3105
+    },
+    {
+      "entropy": 5.56780686378479,
+      "epoch": 2.576636288318144,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004608196775966575,
+      "loss": 5.5319,
+      "mean_token_accuracy": 0.1610974356532097,
+      "num_tokens": 5666601.0,
+      "step": 3110
+    },
+    {
+      "entropy": 5.639773225784301,
+      "epoch": 2.5807787903893953,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046063930286754267,
+      "loss": 5.4465,
+      "mean_token_accuracy": 0.16618527621030807,
+      "num_tokens": 5675243.0,
+      "step": 3115
+    },
+    {
+      "entropy": 5.56855001449585,
+      "epoch": 2.5849212924606464,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00046045855368366756,
+      "loss": 5.466,
+      "mean_token_accuracy": 0.1630399063229561,
+      "num_tokens": 5683646.0,
+      "step": 3120
+    },
+    {
+      "entropy": 5.682586193084717,
+      "epoch": 2.5890637945318975,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.000460277430409623,
+      "loss": 5.5129,
+      "mean_token_accuracy": 0.17162407487630843,
+      "num_tokens": 5693069.0,
+      "step": 3125
+    },
+    {
+      "entropy": 5.587219524383545,
+      "epoch": 2.593206296603148,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046009593341075444,
+      "loss": 5.3754,
+      "mean_token_accuracy": 0.16499391198158264,
+      "num_tokens": 5701527.0,
+      "step": 3130
+    },
+    {
+      "entropy": 5.561956834793091,
+      "epoch": 2.5973487986743993,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004599140630531612,
+      "loss": 5.5403,
+      "mean_token_accuracy": 0.15682477951049806,
+      "num_tokens": 5710379.0,
+      "step": 3135
+    },
+    {
+      "entropy": 5.69692587852478,
+      "epoch": 2.6014913007456504,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004597318197036956,
+      "loss": 5.4524,
+      "mean_token_accuracy": 0.1643553927540779,
+      "num_tokens": 5719217.0,
+      "step": 3140
+    },
+    {
+      "entropy": 5.629226970672607,
+      "epoch": 2.6056338028169015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004595492037299624,
+      "loss": 5.5535,
+      "mean_token_accuracy": 0.16214104294776915,
+      "num_tokens": 5728331.0,
+      "step": 3145
+    },
+    {
+      "entropy": 5.608061027526856,
+      "epoch": 2.6097763048881526,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045936621550031806,
+      "loss": 5.5107,
+      "mean_token_accuracy": 0.16073764860630035,
+      "num_tokens": 5737696.0,
+      "step": 3150
+    },
+    {
+      "entropy": 5.731885099411011,
+      "epoch": 2.6139188069594033,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045918285538386973,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.16164542436599733,
+      "num_tokens": 5746191.0,
+      "step": 3155
+    },
+    {
+      "entropy": 5.703127813339234,
+      "epoch": 2.6180613090306544,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00045899912375047485,
+      "loss": 5.5619,
+      "mean_token_accuracy": 0.1629435494542122,
+      "num_tokens": 5754824.0,
+      "step": 3160
+    },
+    {
+      "entropy": 5.638229656219482,
+      "epoch": 2.6222038111019055,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045881502097074023,
+      "loss": 5.537,
+      "mean_token_accuracy": 0.1518124133348465,
+      "num_tokens": 5764863.0,
+      "step": 3165
+    },
+    {
+      "entropy": 5.614318180084228,
+      "epoch": 2.6263463131731566,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004586305474160212,
+      "loss": 5.5459,
+      "mean_token_accuracy": 0.15642993301153182,
+      "num_tokens": 5774273.0,
+      "step": 3170
+    },
+    {
+      "entropy": 5.666326427459717,
+      "epoch": 2.6304888152444077,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045844570345842116,
+      "loss": 5.5044,
+      "mean_token_accuracy": 0.16042826995253562,
+      "num_tokens": 5784085.0,
+      "step": 3175
+    },
+    {
+      "entropy": 5.659371709823608,
+      "epoch": 2.634631317315659,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004582604894707906,
+      "loss": 5.5336,
+      "mean_token_accuracy": 0.16884370446205138,
+      "num_tokens": 5793921.0,
+      "step": 3180
+    },
+    {
+      "entropy": 5.664378356933594,
+      "epoch": 2.63877381938691,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00045807490582672634,
+      "loss": 5.4972,
+      "mean_token_accuracy": 0.15294444859027861,
+      "num_tokens": 5803902.0,
+      "step": 3185
+    },
+    {
+      "entropy": 5.542481708526611,
+      "epoch": 2.6429163214581606,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00045788895290057083,
+      "loss": 5.4129,
+      "mean_token_accuracy": 0.16788192689418793,
+      "num_tokens": 5812089.0,
+      "step": 3190
+    },
+    {
+      "entropy": 5.6802209377288815,
+      "epoch": 2.6470588235294117,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00045770263106741137,
+      "loss": 5.5784,
+      "mean_token_accuracy": 0.1578851893544197,
+      "num_tokens": 5821072.0,
+      "step": 3195
+    },
+    {
+      "entropy": 5.628516340255738,
+      "epoch": 2.651201325600663,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004575159407030797,
+      "loss": 5.4029,
+      "mean_token_accuracy": 0.16388181746006011,
+      "num_tokens": 5829725.0,
+      "step": 3200
+    },
+    {
+      "entropy": 5.500157403945923,
+      "epoch": 2.655343827671914,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004573288821841505,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16496249735355378,
+      "num_tokens": 5838153.0,
+      "step": 3205
+    },
+    {
+      "entropy": 5.616616106033325,
+      "epoch": 2.659486329743165,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004571414558879413,
+      "loss": 5.4409,
+      "mean_token_accuracy": 0.15448423773050307,
+      "num_tokens": 5847270.0,
+      "step": 3210
+    },
+    {
+      "entropy": 5.6490891456604,
+      "epoch": 2.6636288318144157,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004569536621925114,
+      "loss": 5.5472,
+      "mean_token_accuracy": 0.15474478006362916,
+      "num_tokens": 5855954.0,
+      "step": 3215
+    },
+    {
+      "entropy": 5.634416961669922,
+      "epoch": 2.667771333885667,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004567655014766612,
+      "loss": 5.4529,
+      "mean_token_accuracy": 0.16163208782672883,
+      "num_tokens": 5864435.0,
+      "step": 3220
+    },
+    {
+      "entropy": 5.624909925460815,
+      "epoch": 2.671913835956918,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004565769741199314,
+      "loss": 5.5135,
+      "mean_token_accuracy": 0.1572384186089039,
+      "num_tokens": 5873964.0,
+      "step": 3225
+    },
+    {
+      "entropy": 5.727962255477905,
+      "epoch": 2.676056338028169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045638808050260237,
+      "loss": 5.4648,
+      "mean_token_accuracy": 0.16628578454256057,
+      "num_tokens": 5882738.0,
+      "step": 3230
+    },
+    {
+      "entropy": 5.587652635574341,
+      "epoch": 2.68019884009942,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00045619882100569317,
+      "loss": 5.5925,
+      "mean_token_accuracy": 0.15854242593050002,
+      "num_tokens": 5891749.0,
+      "step": 3235
+    },
+    {
+      "entropy": 5.627515649795532,
+      "epoch": 2.684341342170671,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004560091960109608,
+      "loss": 5.5372,
+      "mean_token_accuracy": 0.15811603218317033,
+      "num_tokens": 5900551.0,
+      "step": 3240
+    },
+    {
+      "entropy": 5.661735343933105,
+      "epoch": 2.6884838442419223,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004558192059008996,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.1517203629016876,
+      "num_tokens": 5909254.0,
+      "step": 3245
+    },
+    {
+      "entropy": 5.599635648727417,
+      "epoch": 2.692626346313173,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004556288510587406,
+      "loss": 5.4987,
+      "mean_token_accuracy": 0.15817683488130568,
+      "num_tokens": 5918357.0,
+      "step": 3250
+    },
+    {
+      "entropy": 5.662895679473877,
+      "epoch": 2.696768848384424,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00045543813186845004,
+      "loss": 5.5021,
+      "mean_token_accuracy": 0.15579704195261002,
+      "num_tokens": 5927742.0,
+      "step": 3255
+    },
+    {
+      "entropy": 5.627440690994263,
+      "epoch": 2.700911350455675,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004552470487147294,
+      "loss": 5.5823,
+      "mean_token_accuracy": 0.1556493915617466,
+      "num_tokens": 5937025.0,
+      "step": 3260
+    },
+    {
+      "entropy": 5.70678014755249,
+      "epoch": 2.7050538525269263,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045505560198301443,
+      "loss": 5.5615,
+      "mean_token_accuracy": 0.15135139375925064,
+      "num_tokens": 5946176.0,
+      "step": 3265
+    },
+    {
+      "entropy": 5.659924745559692,
+      "epoch": 2.7091963545981774,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045486379205947396,
+      "loss": 5.5233,
+      "mean_token_accuracy": 0.1584411159157753,
+      "num_tokens": 5955550.0,
+      "step": 3270
+    },
+    {
+      "entropy": 5.594695281982422,
+      "epoch": 2.713338856669428,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004546716193310098,
+      "loss": 5.4541,
+      "mean_token_accuracy": 0.1651945412158966,
+      "num_tokens": 5964467.0,
+      "step": 3275
+    },
+    {
+      "entropy": 5.605531787872314,
+      "epoch": 2.717481358740679,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000454479084185255,
+      "loss": 5.4855,
+      "mean_token_accuracy": 0.1514287754893303,
+      "num_tokens": 5973906.0,
+      "step": 3280
+    },
+    {
+      "entropy": 5.696796035766601,
+      "epoch": 2.7216238608119303,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004542861870105743,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.15694239139556884,
+      "num_tokens": 5983701.0,
+      "step": 3285
+    },
+    {
+      "entropy": 5.623150444030761,
+      "epoch": 2.7257663628831814,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045409292819606224,
+      "loss": 5.4971,
+      "mean_token_accuracy": 0.16068210303783417,
+      "num_tokens": 5993367.0,
+      "step": 3290
+    },
+    {
+      "entropy": 5.646857404708863,
+      "epoch": 2.7299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045389930813154297,
+      "loss": 5.4519,
+      "mean_token_accuracy": 0.16334805637598038,
+      "num_tokens": 6003752.0,
+      "step": 3295
+    },
+    {
+      "entropy": 5.675233459472656,
+      "epoch": 2.7340513670256836,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004537053272075693,
+      "loss": 5.5263,
+      "mean_token_accuracy": 0.1621565416455269,
+      "num_tokens": 6012486.0,
+      "step": 3300
+    },
+    {
+      "entropy": 5.5136041164398195,
+      "epoch": 2.7381938690969347,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045351098581542204,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.163838130235672,
+      "num_tokens": 6020742.0,
+      "step": 3305
+    },
+    {
+      "entropy": 5.646917295455933,
+      "epoch": 2.742336371168186,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004533162843471089,
+      "loss": 5.5009,
+      "mean_token_accuracy": 0.15474170595407485,
+      "num_tokens": 6030248.0,
+      "step": 3310
+    },
+    {
+      "entropy": 5.632185411453247,
+      "epoch": 2.7464788732394365,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004531212231953641,
+      "loss": 5.5436,
+      "mean_token_accuracy": 0.15157791674137117,
+      "num_tokens": 6039293.0,
+      "step": 3315
+    },
+    {
+      "entropy": 5.587828540802002,
+      "epoch": 2.7506213753106876,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004529258027536473,
+      "loss": 5.4134,
+      "mean_token_accuracy": 0.16378402560949326,
+      "num_tokens": 6048081.0,
+      "step": 3320
+    },
+    {
+      "entropy": 5.673684549331665,
+      "epoch": 2.7547638773819387,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004527300234161428,
+      "loss": 5.5753,
+      "mean_token_accuracy": 0.15969255268573762,
+      "num_tokens": 6057549.0,
+      "step": 3325
+    },
+    {
+      "entropy": 5.646554040908813,
+      "epoch": 2.75890637945319,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004525338855777591,
+      "loss": 5.5589,
+      "mean_token_accuracy": 0.15469738617539405,
+      "num_tokens": 6067372.0,
+      "step": 3330
+    },
+    {
+      "entropy": 5.595069122314453,
+      "epoch": 2.7630488815244405,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045233738963412746,
+      "loss": 5.4181,
+      "mean_token_accuracy": 0.1717814713716507,
+      "num_tokens": 6075532.0,
+      "step": 3335
+    },
+    {
+      "entropy": 5.5924467086792,
+      "epoch": 2.7671913835956916,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045214053598160173,
+      "loss": 5.4439,
+      "mean_token_accuracy": 0.16404369622468948,
+      "num_tokens": 6084389.0,
+      "step": 3340
+    },
+    {
+      "entropy": 5.598109579086303,
+      "epoch": 2.7713338856669427,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045194332501725725,
+      "loss": 5.4706,
+      "mean_token_accuracy": 0.16428767740726472,
+      "num_tokens": 6093536.0,
+      "step": 3345
+    },
+    {
+      "entropy": 5.637304496765137,
+      "epoch": 2.775476387738194,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00045174575713889014,
+      "loss": 5.5167,
+      "mean_token_accuracy": 0.16573925465345382,
+      "num_tokens": 6102677.0,
+      "step": 3350
+    },
+    {
+      "entropy": 5.677533674240112,
+      "epoch": 2.779618889809445,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004515478327450164,
+      "loss": 5.5926,
+      "mean_token_accuracy": 0.156404609978199,
+      "num_tokens": 6112430.0,
+      "step": 3355
+    },
+    {
+      "entropy": 5.643227863311767,
+      "epoch": 2.783761391880696,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00045134955223487093,
+      "loss": 5.4889,
+      "mean_token_accuracy": 0.16630716919898986,
+      "num_tokens": 6121408.0,
+      "step": 3360
+    },
+    {
+      "entropy": 5.57972674369812,
+      "epoch": 2.787903893951947,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00045115091600840757,
+      "loss": 5.5188,
+      "mean_token_accuracy": 0.15800442099571227,
+      "num_tokens": 6131339.0,
+      "step": 3365
+    },
+    {
+      "entropy": 5.624274778366089,
+      "epoch": 2.7920463960231983,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00045095192446629697,
+      "loss": 5.4816,
+      "mean_token_accuracy": 0.16174803227186202,
+      "num_tokens": 6140590.0,
+      "step": 3370
+    },
+    {
+      "entropy": 5.704814815521241,
+      "epoch": 2.796188898094449,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000450752578009927,
+      "loss": 5.5621,
+      "mean_token_accuracy": 0.1653067871928215,
+      "num_tokens": 6149958.0,
+      "step": 3375
+    },
+    {
+      "entropy": 5.58657054901123,
+      "epoch": 2.8003314001657,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045055287704140115,
+      "loss": 5.4346,
+      "mean_token_accuracy": 0.15949429720640182,
+      "num_tokens": 6159411.0,
+      "step": 3380
+    },
+    {
+      "entropy": 5.595387983322143,
+      "epoch": 2.804473902236951,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004503528219635381,
+      "loss": 5.5138,
+      "mean_token_accuracy": 0.1545591250061989,
+      "num_tokens": 6169264.0,
+      "step": 3385
+    },
+    {
+      "entropy": 5.617677021026611,
+      "epoch": 2.8086164043082023,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004501524131798709,
+      "loss": 5.4826,
+      "mean_token_accuracy": 0.16332829892635345,
+      "num_tokens": 6178374.0,
+      "step": 3390
+    },
+    {
+      "entropy": 5.7183191776275635,
+      "epoch": 2.812758906379453,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000449951651094646,
+      "loss": 5.4697,
+      "mean_token_accuracy": 0.15537519603967667,
+      "num_tokens": 6186918.0,
+      "step": 3395
+    },
+    {
+      "entropy": 5.566522169113159,
+      "epoch": 2.816901408450704,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044975053611282217,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.1613329365849495,
+      "num_tokens": 6196400.0,
+      "step": 3400
+    },
+    {
+      "entropy": 5.514105558395386,
+      "epoch": 2.821043910521955,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004495490686400706,
+      "loss": 5.3941,
+      "mean_token_accuracy": 0.1649619847536087,
+      "num_tokens": 6204849.0,
+      "step": 3405
+    },
+    {
+      "entropy": 5.615210485458374,
+      "epoch": 2.8251864125932062,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00044934724908277313,
+      "loss": 5.4834,
+      "mean_token_accuracy": 0.16362717300653457,
+      "num_tokens": 6214121.0,
+      "step": 3410
+    },
+    {
+      "entropy": 5.654720067977905,
+      "epoch": 2.8293289146644574,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044914507784802184,
+      "loss": 5.4835,
+      "mean_token_accuracy": 0.16509974151849746,
+      "num_tokens": 6223163.0,
+      "step": 3415
+    },
+    {
+      "entropy": 5.641624307632446,
+      "epoch": 2.8334714167357085,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004489425553436182,
+      "loss": 5.5084,
+      "mean_token_accuracy": 0.15882937759160995,
+      "num_tokens": 6231581.0,
+      "step": 3420
+    },
+    {
+      "entropy": 5.659383153915405,
+      "epoch": 2.8376139188069596,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00044873968197807213,
+      "loss": 5.5838,
+      "mean_token_accuracy": 0.1599879801273346,
+      "num_tokens": 6240015.0,
+      "step": 3425
+    },
+    {
+      "entropy": 5.666435050964355,
+      "epoch": 2.8417564208782107,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044853645816060156,
+      "loss": 5.5979,
+      "mean_token_accuracy": 0.1532062940299511,
+      "num_tokens": 6249083.0,
+      "step": 3430
+    },
+    {
+      "entropy": 5.6627098560333256,
+      "epoch": 2.8458989229494613,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00044833288430113104,
+      "loss": 5.5496,
+      "mean_token_accuracy": 0.1654196172952652,
+      "num_tokens": 6258798.0,
+      "step": 3435
+    },
+    {
+      "entropy": 5.609176588058472,
+      "epoch": 2.8500414250207124,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00044812896081029136,
+      "loss": 5.4023,
+      "mean_token_accuracy": 0.16617698073387147,
+      "num_tokens": 6267819.0,
+      "step": 3440
+    },
+    {
+      "entropy": 5.626215600967408,
+      "epoch": 2.8541839270919636,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004479246880994183,
+      "loss": 5.4804,
+      "mean_token_accuracy": 0.15876610353589057,
+      "num_tokens": 6276915.0,
+      "step": 3445
+    },
+    {
+      "entropy": 5.627827167510986,
+      "epoch": 2.8583264291632147,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004477200665805525,
+      "loss": 5.5216,
+      "mean_token_accuracy": 0.15861138105392455,
+      "num_tokens": 6285880.0,
+      "step": 3450
+    },
+    {
+      "entropy": 5.6323963642120365,
+      "epoch": 2.8624689312344658,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00044751509666643777,
+      "loss": 5.6351,
+      "mean_token_accuracy": 0.14970673844218255,
+      "num_tokens": 6295408.0,
+      "step": 3455
+    },
+    {
+      "entropy": 5.6166990280151365,
+      "epoch": 2.8666114333057164,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044730977877052084,
+      "loss": 5.3753,
+      "mean_token_accuracy": 0.16562075018882752,
+      "num_tokens": 6304110.0,
+      "step": 3460
+    },
+    {
+      "entropy": 5.669659185409546,
+      "epoch": 2.8707539353769675,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00044710411330695045,
+      "loss": 5.5254,
+      "mean_token_accuracy": 0.15842530727386475,
+      "num_tokens": 6312577.0,
+      "step": 3465
+    },
+    {
+      "entropy": 5.738371801376343,
+      "epoch": 2.8748964374482187,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00044689810069057615,
+      "loss": 5.606,
+      "mean_token_accuracy": 0.15023296922445298,
+      "num_tokens": 6321766.0,
+      "step": 3470
+    },
+    {
+      "entropy": 5.642851161956787,
+      "epoch": 2.8790389395194698,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004466917413369479,
+      "loss": 5.5731,
+      "mean_token_accuracy": 0.151870658993721,
+      "num_tokens": 6330327.0,
+      "step": 3475
+    },
+    {
+      "entropy": 5.577242517471314,
+      "epoch": 2.883181441590721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004464850356623152,
+      "loss": 5.4926,
+      "mean_token_accuracy": 0.16011006087064744,
+      "num_tokens": 6339596.0,
+      "step": 3480
+    },
+    {
+      "entropy": 5.613158226013184,
+      "epoch": 2.887323943661972,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00044627798408362597,
+      "loss": 5.3986,
+      "mean_token_accuracy": 0.1670537531375885,
+      "num_tokens": 6348080.0,
+      "step": 3485
+    },
+    {
+      "entropy": 5.613135099411011,
+      "epoch": 2.891466445733223,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004460705870185258,
+      "loss": 5.5277,
+      "mean_token_accuracy": 0.15435466170310974,
+      "num_tokens": 6357725.0,
+      "step": 3490
+    },
+    {
+      "entropy": 5.627930736541748,
+      "epoch": 2.8956089478044738,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004458628448853572,
+      "loss": 5.4831,
+      "mean_token_accuracy": 0.16073092967271804,
+      "num_tokens": 6366821.0,
+      "step": 3495
+    },
+    {
+      "entropy": 5.729347085952758,
+      "epoch": 2.899751449875725,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004456547581031589,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.15560299083590506,
+      "num_tokens": 6375641.0,
+      "step": 3500
+    },
+    {
+      "epoch": 2.899751449875725,
+      "eval_entropy": 5.414937326394673,
+      "eval_loss": 5.899942874908447,
+      "eval_mean_token_accuracy": 0.15183768343569629,
+      "eval_num_tokens": 6375641.0,
+      "eval_runtime": 2.9583,
+      "eval_samples_per_second": 1266.605,
+      "eval_steps_per_second": 158.537,
+      "step": 3500
+    },
+    {
+      "entropy": 5.548971128463745,
+      "epoch": 2.903893951946976,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004454463270916646,
+      "loss": 5.404,
+      "mean_token_accuracy": 0.1680065542459488,
+      "num_tokens": 6384596.0,
+      "step": 3505
+    },
+    {
+      "entropy": 5.719941425323486,
+      "epoch": 2.908036454018227,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004452375522713023,
+      "loss": 5.7474,
+      "mean_token_accuracy": 0.14030246064066887,
+      "num_tokens": 6395048.0,
+      "step": 3510
+    },
+    {
+      "entropy": 5.643452119827271,
+      "epoch": 2.912178956089478,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004450284340631938,
+      "loss": 5.5762,
+      "mean_token_accuracy": 0.15520212948322296,
+      "num_tokens": 6404828.0,
+      "step": 3515
+    },
+    {
+      "entropy": 5.627139854431152,
+      "epoch": 2.916321458160729,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044481897288915334,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.16042221039533616,
+      "num_tokens": 6414670.0,
+      "step": 3520
+    },
+    {
+      "entropy": 5.474701166152954,
+      "epoch": 2.92046396023198,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044460916917168697,
+      "loss": 5.3896,
+      "mean_token_accuracy": 0.16453512459993364,
+      "num_tokens": 6423446.0,
+      "step": 3525
+    },
+    {
+      "entropy": 5.5396312236785885,
+      "epoch": 2.924606462303231,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004443990233339918,
+      "loss": 5.4655,
+      "mean_token_accuracy": 0.1552535504102707,
+      "num_tokens": 6433412.0,
+      "step": 3530
+    },
+    {
+      "entropy": 5.652051544189453,
+      "epoch": 2.928748964374482,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004441885357999548,
+      "loss": 5.444,
+      "mean_token_accuracy": 0.1643453508615494,
+      "num_tokens": 6443520.0,
+      "step": 3535
+    },
+    {
+      "entropy": 5.674185514450073,
+      "epoch": 2.9328914664457333,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004439777069941524,
+      "loss": 5.5527,
+      "mean_token_accuracy": 0.15431721061468123,
+      "num_tokens": 6452933.0,
+      "step": 3540
+    },
+    {
+      "entropy": 5.550513553619385,
+      "epoch": 2.9370339685169844,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044376653734184935,
+      "loss": 5.3908,
+      "mean_token_accuracy": 0.16788479536771775,
+      "num_tokens": 6462113.0,
+      "step": 3545
+    },
+    {
+      "entropy": 5.468146800994873,
+      "epoch": 2.9411764705882355,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004435550272689979,
+      "loss": 5.4246,
+      "mean_token_accuracy": 0.16583772748708725,
+      "num_tokens": 6471411.0,
+      "step": 3550
+    },
+    {
+      "entropy": 5.662385082244873,
+      "epoch": 2.945318972659486,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00044334317720223706,
+      "loss": 5.532,
+      "mean_token_accuracy": 0.1599032275378704,
+      "num_tokens": 6480682.0,
+      "step": 3555
+    },
+    {
+      "entropy": 5.678339672088623,
+      "epoch": 2.9494614747307373,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00044313098756889154,
+      "loss": 5.5754,
+      "mean_token_accuracy": 0.15587076246738435,
+      "num_tokens": 6490614.0,
+      "step": 3560
+    },
+    {
+      "entropy": 5.585533094406128,
+      "epoch": 2.9536039768019884,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004429184587969708,
+      "loss": 5.4273,
+      "mean_token_accuracy": 0.16405707746744155,
+      "num_tokens": 6499079.0,
+      "step": 3565
+    },
+    {
+      "entropy": 5.668995666503906,
+      "epoch": 2.9577464788732395,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004427055913151689,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.14727827310562133,
+      "num_tokens": 6508556.0,
+      "step": 3570
+    },
+    {
+      "entropy": 5.70610499382019,
+      "epoch": 2.9618889809444906,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004424923855528626,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.15901169627904893,
+      "num_tokens": 6517934.0,
+      "step": 3575
+    },
+    {
+      "entropy": 5.614701509475708,
+      "epoch": 2.9660314830157413,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004422788419401114,
+      "loss": 5.4321,
+      "mean_token_accuracy": 0.1702651560306549,
+      "num_tokens": 6526995.0,
+      "step": 3580
+    },
+    {
+      "entropy": 5.572284936904907,
+      "epoch": 2.9701739850869924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00044206496090765595,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1573972523212433,
+      "num_tokens": 6535264.0,
+      "step": 3585
+    },
+    {
+      "entropy": 5.610080623626709,
+      "epoch": 2.9743164871582435,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00044185074288691776,
+      "loss": 5.3994,
+      "mean_token_accuracy": 0.1746336281299591,
+      "num_tokens": 6544498.0,
+      "step": 3590
+    },
+    {
+      "entropy": 5.582769393920898,
+      "epoch": 2.9784589892294946,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044163618830999794,
+      "loss": 5.5098,
+      "mean_token_accuracy": 0.16030704230070114,
+      "num_tokens": 6554761.0,
+      "step": 3595
+    },
+    {
+      "entropy": 5.603819417953491,
+      "epoch": 2.9826014913007457,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044142129760967643,
+      "loss": 5.5614,
+      "mean_token_accuracy": 0.15714355707168579,
+      "num_tokens": 6564039.0,
+      "step": 3600
+    },
+    {
+      "entropy": 5.679829835891724,
+      "epoch": 2.986743993371997,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004412060712194115,
+      "loss": 5.5068,
+      "mean_token_accuracy": 0.15993095487356185,
+      "num_tokens": 6572559.0,
+      "step": 3605
+    },
+    {
+      "entropy": 5.589264869689941,
+      "epoch": 2.990886495443248,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004409905095733381,
+      "loss": 5.4931,
+      "mean_token_accuracy": 0.1612076446413994,
+      "num_tokens": 6581621.0,
+      "step": 3610
+    },
+    {
+      "entropy": 5.550649166107178,
+      "epoch": 2.995028997514499,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00044077461310626764,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.15403861105442046,
+      "num_tokens": 6590353.0,
+      "step": 3615
+    },
+    {
+      "entropy": 5.64892258644104,
+      "epoch": 2.9991714995857497,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000440558382253687,
+      "loss": 5.4575,
+      "mean_token_accuracy": 0.16497674435377122,
+      "num_tokens": 6598822.0,
+      "step": 3620
+    },
+    {
+      "entropy": 5.5967165470123295,
+      "epoch": 3.003314001657001,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004403418174517573,
+      "loss": 5.2529,
+      "mean_token_accuracy": 0.16683556884527206,
+      "num_tokens": 6606728.0,
+      "step": 3625
+    },
+    {
+      "entropy": 5.599476623535156,
+      "epoch": 3.007456503728252,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044012491913731353,
+      "loss": 5.1756,
+      "mean_token_accuracy": 0.1743481546640396,
+      "num_tokens": 6616226.0,
+      "step": 3630
+    },
+    {
+      "entropy": 5.5095573425292965,
+      "epoch": 3.011599005799503,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004399076877478632,
+      "loss": 5.0266,
+      "mean_token_accuracy": 0.1868550017476082,
+      "num_tokens": 6624801.0,
+      "step": 3635
+    },
+    {
+      "entropy": 5.60879430770874,
+      "epoch": 3.015741507870754,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004396901237215858,
+      "loss": 5.2209,
+      "mean_token_accuracy": 0.16688485741615294,
+      "num_tokens": 6633043.0,
+      "step": 3640
+    },
+    {
+      "entropy": 5.538025426864624,
+      "epoch": 3.019884009942005,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043947222749733173,
+      "loss": 5.1692,
+      "mean_token_accuracy": 0.17499702274799347,
+      "num_tokens": 6641197.0,
+      "step": 3645
+    },
+    {
+      "entropy": 5.586767101287842,
+      "epoch": 3.024026512013256,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043925399951462153,
+      "loss": 5.2064,
+      "mean_token_accuracy": 0.1801098555326462,
+      "num_tokens": 6650411.0,
+      "step": 3650
+    },
+    {
+      "entropy": 5.4191618919372555,
+      "epoch": 3.028169014084507,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004390354402136449,
+      "loss": 5.0903,
+      "mean_token_accuracy": 0.17804521024227143,
+      "num_tokens": 6659405.0,
+      "step": 3655
+    },
+    {
+      "entropy": 5.583788824081421,
+      "epoch": 3.032311516155758,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0004388165500352597,
+      "loss": 5.1642,
+      "mean_token_accuracy": 0.17557908743619918,
+      "num_tokens": 6667701.0,
+      "step": 3660
+    },
+    {
+      "entropy": 5.614604902267456,
+      "epoch": 3.036454018227009,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004385973294209915,
+      "loss": 5.1881,
+      "mean_token_accuracy": 0.17808027267456056,
+      "num_tokens": 6676801.0,
+      "step": 3665
+    },
+    {
+      "entropy": 5.457578706741333,
+      "epoch": 3.0405965202982603,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004383777788130321,
+      "loss": 5.083,
+      "mean_token_accuracy": 0.17836775481700898,
+      "num_tokens": 6686005.0,
+      "step": 3670
+    },
+    {
+      "entropy": 5.479088068008423,
+      "epoch": 3.044739022369511,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004381578986542393,
+      "loss": 5.0937,
+      "mean_token_accuracy": 0.17960153371095658,
+      "num_tokens": 6694884.0,
+      "step": 3675
+    },
+    {
+      "entropy": 5.501745700836182,
+      "epoch": 3.048881524440762,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004379376893881352,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.17827630788087845,
+      "num_tokens": 6703476.0,
+      "step": 3680
+    },
+    {
+      "entropy": 5.616245269775391,
+      "epoch": 3.053024026512013,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004377171514589059,
+      "loss": 5.2531,
+      "mean_token_accuracy": 0.1736731931567192,
+      "num_tokens": 6712576.0,
+      "step": 3685
+    },
+    {
+      "entropy": 5.398316955566406,
+      "epoch": 3.0571665285832643,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004374962853114007,
+      "loss": 5.0545,
+      "mean_token_accuracy": 0.18062082678079605,
+      "num_tokens": 6721532.0,
+      "step": 3690
+    },
+    {
+      "entropy": 5.480774354934693,
+      "epoch": 3.0613090306545154,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004372750913911306,
+      "loss": 5.1028,
+      "mean_token_accuracy": 0.18300070911645888,
+      "num_tokens": 6730055.0,
+      "step": 3695
+    },
+    {
+      "entropy": 5.446919918060303,
+      "epoch": 3.0654515327257665,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004370535701442679,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.17969694286584853,
+      "num_tokens": 6739310.0,
+      "step": 3700
+    },
+    {
+      "entropy": 5.54828953742981,
+      "epoch": 3.069594034797017,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043683172201764537,
+      "loss": 5.2581,
+      "mean_token_accuracy": 0.16716694980859756,
+      "num_tokens": 6748976.0,
+      "step": 3705
+    },
+    {
+      "entropy": 5.539231872558593,
+      "epoch": 3.0737365368682683,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004366095474587547,
+      "loss": 5.1044,
+      "mean_token_accuracy": 0.17598106861114501,
+      "num_tokens": 6758043.0,
+      "step": 3710
+    },
+    {
+      "entropy": 5.500854778289795,
+      "epoch": 3.0778790389395194,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00043638704691574646,
+      "loss": 5.163,
+      "mean_token_accuracy": 0.1786232903599739,
+      "num_tokens": 6767554.0,
+      "step": 3715
+    },
+    {
+      "entropy": 5.560473966598511,
+      "epoch": 3.0820215410107705,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004361642208374283,
+      "loss": 5.1882,
+      "mean_token_accuracy": 0.1666739672422409,
+      "num_tokens": 6776161.0,
+      "step": 3720
+    },
+    {
+      "entropy": 5.476630401611328,
+      "epoch": 3.0861640430820216,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043594106967326495,
+      "loss": 5.1169,
+      "mean_token_accuracy": 0.17555084377527236,
+      "num_tokens": 6785371.0,
+      "step": 3725
+    },
+    {
+      "entropy": 5.494755983352661,
+      "epoch": 3.0903065451532727,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00043571759387337665,
+      "loss": 5.1456,
+      "mean_token_accuracy": 0.1808715656399727,
+      "num_tokens": 6795242.0,
+      "step": 3730
+    },
+    {
+      "entropy": 5.591760492324829,
+      "epoch": 3.0944490472245234,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004354937938885385,
+      "loss": 5.2235,
+      "mean_token_accuracy": 0.17338325083255768,
+      "num_tokens": 6805423.0,
+      "step": 3735
+    },
+    {
+      "entropy": 5.464981889724731,
+      "epoch": 3.0985915492957745,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004352696701701796,
+      "loss": 5.1469,
+      "mean_token_accuracy": 0.17880967408418655,
+      "num_tokens": 6814377.0,
+      "step": 3740
+    },
+    {
+      "entropy": 5.448660278320313,
+      "epoch": 3.1027340513670256,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004350452231703819,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.18132367432117463,
+      "num_tokens": 6824025.0,
+      "step": 3745
+    },
+    {
+      "entropy": 5.550149536132812,
+      "epoch": 3.1068765534382767,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043482045334187954,
+      "loss": 5.1273,
+      "mean_token_accuracy": 0.18649032860994338,
+      "num_tokens": 6833071.0,
+      "step": 3750
+    },
+    {
+      "entropy": 5.442513799667358,
+      "epoch": 3.111019055509528,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043459536113805785,
+      "loss": 5.1076,
+      "mean_token_accuracy": 0.17443138360977173,
+      "num_tokens": 6841983.0,
+      "step": 3755
+    },
+    {
+      "entropy": 5.447629022598266,
+      "epoch": 3.115161557580779,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00043436994701295237,
+      "loss": 5.1043,
+      "mean_token_accuracy": 0.17914267033338546,
+      "num_tokens": 6851436.0,
+      "step": 3760
+    },
+    {
+      "entropy": 5.461205101013183,
+      "epoch": 3.1193040596520296,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00043414421142124804,
+      "loss": 5.1836,
+      "mean_token_accuracy": 0.1672696813941002,
+      "num_tokens": 6861810.0,
+      "step": 3765
+    },
+    {
+      "entropy": 5.478553342819214,
+      "epoch": 3.1234465617232807,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00043391815481827814,
+      "loss": 5.0639,
+      "mean_token_accuracy": 0.18850475996732713,
+      "num_tokens": 6870418.0,
+      "step": 3770
+    },
+    {
+      "entropy": 5.41155161857605,
+      "epoch": 3.127589063794532,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004336917776600237,
+      "loss": 5.0683,
+      "mean_token_accuracy": 0.18221812546253205,
+      "num_tokens": 6879419.0,
+      "step": 3775
+    },
+    {
+      "entropy": 5.435874891281128,
+      "epoch": 3.131731565865783,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004334650804031122,
+      "loss": 5.1852,
+      "mean_token_accuracy": 0.17172302156686783,
+      "num_tokens": 6888768.0,
+      "step": 3780
+    },
+    {
+      "entropy": 5.507850646972656,
+      "epoch": 3.135874067937034,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004332380635048165,
+      "loss": 5.1296,
+      "mean_token_accuracy": 0.17900288552045823,
+      "num_tokens": 6897133.0,
+      "step": 3785
+    },
+    {
+      "entropy": 5.485491752624512,
+      "epoch": 3.140016570008285,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00043301072742305474,
+      "loss": 5.1773,
+      "mean_token_accuracy": 0.17168077528476716,
+      "num_tokens": 6904976.0,
+      "step": 3790
+    },
+    {
+      "entropy": 5.537312364578247,
+      "epoch": 3.1441590720795363,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0004327830726163886,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.17883574068546296,
+      "num_tokens": 6915138.0,
+      "step": 3795
+    },
+    {
+      "entropy": 5.548703718185425,
+      "epoch": 3.148301574150787,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0004325550995440226,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.1752033144235611,
+      "num_tokens": 6923962.0,
+      "step": 3800
+    },
+    {
+      "entropy": 5.386642169952393,
+      "epoch": 3.152444076222038,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043232680866580356,
+      "loss": 5.1478,
+      "mean_token_accuracy": 0.17952724993228913,
+      "num_tokens": 6932102.0,
+      "step": 3805
+    },
+    {
+      "entropy": 5.464086627960205,
+      "epoch": 3.156586578293289,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00043209820044221893,
+      "loss": 5.153,
+      "mean_token_accuracy": 0.1785269558429718,
+      "num_tokens": 6940354.0,
+      "step": 3810
+    },
+    {
+      "entropy": 5.4963922023773195,
+      "epoch": 3.1607290803645403,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00043186927533439654,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.1716633692383766,
+      "num_tokens": 6949779.0,
+      "step": 3815
+    },
+    {
+      "entropy": 5.536400413513183,
+      "epoch": 3.1648715824357914,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043164003380410335,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.17445194274187087,
+      "num_tokens": 6958760.0,
+      "step": 3820
+    },
+    {
+      "entropy": 5.486375331878662,
+      "epoch": 3.169014084507042,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004314104763137445,
+      "loss": 5.1037,
+      "mean_token_accuracy": 0.18134674280881882,
+      "num_tokens": 6967535.0,
+      "step": 3825
+    },
+    {
+      "entropy": 5.469356393814087,
+      "epoch": 3.173156586578293,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043118060332636264,
+      "loss": 5.2036,
+      "mean_token_accuracy": 0.17774708271026612,
+      "num_tokens": 6976211.0,
+      "step": 3830
+    },
+    {
+      "entropy": 5.576221227645874,
+      "epoch": 3.1772990886495442,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043095041530563665,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.17325948774814606,
+      "num_tokens": 6986001.0,
+      "step": 3835
+    },
+    {
+      "entropy": 5.420689487457276,
+      "epoch": 3.1814415907207954,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00043071991271588104,
+      "loss": 5.2006,
+      "mean_token_accuracy": 0.18302187621593474,
+      "num_tokens": 6994568.0,
+      "step": 3840
+    },
+    {
+      "entropy": 5.52434401512146,
+      "epoch": 3.1855840927920465,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004304890960220446,
+      "loss": 5.2921,
+      "mean_token_accuracy": 0.16869494169950486,
+      "num_tokens": 7004744.0,
+      "step": 3845
+    },
+    {
+      "entropy": 5.520354557037353,
+      "epoch": 3.1897265948632976,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043025796568970975,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.1696591019630432,
+      "num_tokens": 7014315.0,
+      "step": 3850
+    },
+    {
+      "entropy": 5.523347425460815,
+      "epoch": 3.1938690969345487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043002652218509184,
+      "loss": 5.1172,
+      "mean_token_accuracy": 0.18450311720371246,
+      "num_tokens": 7022258.0,
+      "step": 3855
+    },
+    {
+      "entropy": 5.522213459014893,
+      "epoch": 3.1980115990057993,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004297947659750376,
+      "loss": 5.2587,
+      "mean_token_accuracy": 0.1674624815583229,
+      "num_tokens": 7031732.0,
+      "step": 3860
+    },
+    {
+      "entropy": 5.467557621002197,
+      "epoch": 3.2021541010770505,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004295626975270246,
+      "loss": 5.1818,
+      "mean_token_accuracy": 0.1766605108976364,
+      "num_tokens": 7040478.0,
+      "step": 3865
+    },
+    {
+      "entropy": 5.490935039520264,
+      "epoch": 3.2062966031483016,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00042933031730916024,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.18396904766559602,
+      "num_tokens": 7049360.0,
+      "step": 3870
+    },
+    {
+      "entropy": 5.5688018798828125,
+      "epoch": 3.2104391052195527,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000429097625790181,
+      "loss": 5.2267,
+      "mean_token_accuracy": 0.17498258501291275,
+      "num_tokens": 7059271.0,
+      "step": 3875
+    },
+    {
+      "entropy": 5.398471450805664,
+      "epoch": 3.2145816072908038,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004288646234394508,
+      "loss": 5.2177,
+      "mean_token_accuracy": 0.17296054661273957,
+      "num_tokens": 7069038.0,
+      "step": 3880
+    },
+    {
+      "entropy": 5.5407984256744385,
+      "epoch": 3.218724109362055,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00042863131072696115,
+      "loss": 5.1617,
+      "mean_token_accuracy": 0.17704827934503556,
+      "num_tokens": 7077971.0,
+      "step": 3885
+    },
+    {
+      "entropy": 5.4559561252594,
+      "epoch": 3.2228666114333056,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00042839768812332905,
+      "loss": 5.1612,
+      "mean_token_accuracy": 0.17406544089317322,
+      "num_tokens": 7086821.0,
+      "step": 3890
+    },
+    {
+      "entropy": 5.419722366333008,
+      "epoch": 3.2270091135045567,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000428163756099797,
+      "loss": 5.1859,
+      "mean_token_accuracy": 0.17225482910871506,
+      "num_tokens": 7095407.0,
+      "step": 3895
+    },
+    {
+      "entropy": 5.48249921798706,
+      "epoch": 3.2311516155758078,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004279295151282314,
+      "loss": 5.1116,
+      "mean_token_accuracy": 0.18240531533956528,
+      "num_tokens": 7103964.0,
+      "step": 3900
+    },
+    {
+      "entropy": 5.564240264892578,
+      "epoch": 3.235294117647059,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004276949656811217,
+      "loss": 5.251,
+      "mean_token_accuracy": 0.17079487890005113,
+      "num_tokens": 7113571.0,
+      "step": 3905
+    },
+    {
+      "entropy": 5.522033739089966,
+      "epoch": 3.23943661971831,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00042746010823158006,
+      "loss": 5.2738,
+      "mean_token_accuracy": 0.17067040055990218,
+      "num_tokens": 7122844.0,
+      "step": 3910
+    },
+    {
+      "entropy": 5.4324219703674315,
+      "epoch": 3.243579121789561,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042722494325333945,
+      "loss": 5.1326,
+      "mean_token_accuracy": 0.176889306306839,
+      "num_tokens": 7132123.0,
+      "step": 3915
+    },
+    {
+      "entropy": 5.458636379241943,
+      "epoch": 3.2477216238608118,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004269894712207533,
+      "loss": 5.1819,
+      "mean_token_accuracy": 0.18051923513412477,
+      "num_tokens": 7141068.0,
+      "step": 3920
+    },
+    {
+      "entropy": 5.43212571144104,
+      "epoch": 3.251864125932063,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004267536926087947,
+      "loss": 5.1925,
+      "mean_token_accuracy": 0.1708641156554222,
+      "num_tokens": 7150829.0,
+      "step": 3925
+    },
+    {
+      "entropy": 5.458031702041626,
+      "epoch": 3.256006628003314,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004265176078930545,
+      "loss": 5.1703,
+      "mean_token_accuracy": 0.17345706522464752,
+      "num_tokens": 7160814.0,
+      "step": 3930
+    },
+    {
+      "entropy": 5.498150825500488,
+      "epoch": 3.260149130074565,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00042628121754974166,
+      "loss": 5.2634,
+      "mean_token_accuracy": 0.17203340232372283,
+      "num_tokens": 7170085.0,
+      "step": 3935
+    },
+    {
+      "entropy": 5.590339422225952,
+      "epoch": 3.264291632145816,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004260445220556811,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.1736685037612915,
+      "num_tokens": 7179366.0,
+      "step": 3940
+    },
+    {
+      "entropy": 5.52174072265625,
+      "epoch": 3.2684341342170673,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00042580752188831376,
+      "loss": 5.2819,
+      "mean_token_accuracy": 0.17067586481571198,
+      "num_tokens": 7188342.0,
+      "step": 3945
+    },
+    {
+      "entropy": 5.556540441513062,
+      "epoch": 3.272576636288318,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004255702175256946,
+      "loss": 5.3095,
+      "mean_token_accuracy": 0.17531315684318544,
+      "num_tokens": 7197466.0,
+      "step": 3950
+    },
+    {
+      "entropy": 5.42687840461731,
+      "epoch": 3.276719138359569,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00042533260944649273,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17852312475442886,
+      "num_tokens": 7205462.0,
+      "step": 3955
+    },
+    {
+      "entropy": 5.424286890029907,
+      "epoch": 3.28086164043082,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004250946981299893,
+      "loss": 5.1838,
+      "mean_token_accuracy": 0.17682615667581558,
+      "num_tokens": 7215115.0,
+      "step": 3960
+    },
+    {
+      "entropy": 5.459038209915161,
+      "epoch": 3.2850041425020713,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00042485648405607776,
+      "loss": 5.1379,
+      "mean_token_accuracy": 0.17029522657394408,
+      "num_tokens": 7224909.0,
+      "step": 3965
+    },
+    {
+      "entropy": 5.392039203643799,
+      "epoch": 3.2891466445733224,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004246179677052617,
+      "loss": 5.0642,
+      "mean_token_accuracy": 0.18698266595602037,
+      "num_tokens": 7232946.0,
+      "step": 3970
+    },
+    {
+      "entropy": 5.362467432022095,
+      "epoch": 3.2932891466445735,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004243791495586547,
+      "loss": 5.1736,
+      "mean_token_accuracy": 0.17996304631233215,
+      "num_tokens": 7241104.0,
+      "step": 3975
+    },
+    {
+      "entropy": 5.567073392868042,
+      "epoch": 3.297431648715824,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004241400300979791,
+      "loss": 5.2257,
+      "mean_token_accuracy": 0.1786801502108574,
+      "num_tokens": 7250749.0,
+      "step": 3980
+    },
+    {
+      "entropy": 5.447740983963013,
+      "epoch": 3.3015741507870753,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004239006098055651,
+      "loss": 5.124,
+      "mean_token_accuracy": 0.1787547677755356,
+      "num_tokens": 7258687.0,
+      "step": 3985
+    },
+    {
+      "entropy": 5.41381049156189,
+      "epoch": 3.3057166528583264,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004236608891643494,
+      "loss": 5.1572,
+      "mean_token_accuracy": 0.17702401280403138,
+      "num_tokens": 7267316.0,
+      "step": 3990
+    },
+    {
+      "entropy": 5.448715782165527,
+      "epoch": 3.3098591549295775,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004234208686578748,
+      "loss": 5.1777,
+      "mean_token_accuracy": 0.17505329996347427,
+      "num_tokens": 7276734.0,
+      "step": 3995
+    },
+    {
+      "entropy": 5.440592193603516,
+      "epoch": 3.3140016570008286,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00042318054877028876,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17840310037136078,
+      "num_tokens": 7285916.0,
+      "step": 4000
+    },
+    {
+      "epoch": 3.3140016570008286,
+      "eval_entropy": 5.363256025416002,
+      "eval_loss": 5.893955707550049,
+      "eval_mean_token_accuracy": 0.15349840453819935,
+      "eval_num_tokens": 7285916.0,
+      "eval_runtime": 2.7471,
+      "eval_samples_per_second": 1363.961,
+      "eval_steps_per_second": 170.723,
+      "step": 4000
+    },
+    {
+      "entropy": 5.487448406219483,
+      "epoch": 3.3181441590720797,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042293992998634314,
+      "loss": 5.1667,
+      "mean_token_accuracy": 0.17779863625764847,
+      "num_tokens": 7294184.0,
+      "step": 4005
+    },
+    {
+      "entropy": 5.414953899383545,
+      "epoch": 3.3222866611433304,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004226990127913918,
+      "loss": 5.177,
+      "mean_token_accuracy": 0.1768763244152069,
+      "num_tokens": 7302647.0,
+      "step": 4010
+    },
+    {
+      "entropy": 5.442982530593872,
+      "epoch": 3.3264291632145815,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004224577976713915,
+      "loss": 5.2506,
+      "mean_token_accuracy": 0.16832198798656464,
+      "num_tokens": 7311455.0,
+      "step": 4015
+    },
+    {
+      "entropy": 5.609448575973511,
+      "epoch": 3.3305716652858326,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00042221628511289927,
+      "loss": 5.3136,
+      "mean_token_accuracy": 0.16625809520483018,
+      "num_tokens": 7320978.0,
+      "step": 4020
+    },
+    {
+      "entropy": 5.612923622131348,
+      "epoch": 3.3347141673570837,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004219744756030723,
+      "loss": 5.3273,
+      "mean_token_accuracy": 0.16872513592243193,
+      "num_tokens": 7330202.0,
+      "step": 4025
+    },
+    {
+      "entropy": 5.4015247344970705,
+      "epoch": 3.338856669428335,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00042173236962966706,
+      "loss": 5.1649,
+      "mean_token_accuracy": 0.17969190180301667,
+      "num_tokens": 7339121.0,
+      "step": 4030
+    },
+    {
+      "entropy": 5.492907905578614,
+      "epoch": 3.342999171499586,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004214899676810375,
+      "loss": 5.2251,
+      "mean_token_accuracy": 0.1665240079164505,
+      "num_tokens": 7348631.0,
+      "step": 4035
+    },
+    {
+      "entropy": 5.469464063644409,
+      "epoch": 3.347141673570837,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004212472702461348,
+      "loss": 5.1843,
+      "mean_token_accuracy": 0.1820875510573387,
+      "num_tokens": 7358354.0,
+      "step": 4040
+    },
+    {
+      "entropy": 5.454071807861328,
+      "epoch": 3.3512841756420877,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004210042778145064,
+      "loss": 5.2038,
+      "mean_token_accuracy": 0.17285584658384323,
+      "num_tokens": 7367031.0,
+      "step": 4045
+    },
+    {
+      "entropy": 5.436822319030762,
+      "epoch": 3.355426677713339,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00042076099087629443,
+      "loss": 5.2025,
+      "mean_token_accuracy": 0.1784903883934021,
+      "num_tokens": 7375996.0,
+      "step": 4050
+    },
+    {
+      "entropy": 5.552537536621093,
+      "epoch": 3.35956917978459,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00042051740992223534,
+      "loss": 5.2567,
+      "mean_token_accuracy": 0.16439318358898164,
+      "num_tokens": 7385355.0,
+      "step": 4055
+    },
+    {
+      "entropy": 5.402252960205078,
+      "epoch": 3.363711681855841,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004202735354436586,
+      "loss": 5.0999,
+      "mean_token_accuracy": 0.1792566418647766,
+      "num_tokens": 7394384.0,
+      "step": 4060
+    },
+    {
+      "entropy": 5.511481237411499,
+      "epoch": 3.367854183927092,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00042002936793248546,
+      "loss": 5.2458,
+      "mean_token_accuracy": 0.1770971804857254,
+      "num_tokens": 7403141.0,
+      "step": 4065
+    },
+    {
+      "entropy": 5.508409786224365,
+      "epoch": 3.371996685998343,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004197849078812286,
+      "loss": 5.199,
+      "mean_token_accuracy": 0.1739865079522133,
+      "num_tokens": 7413331.0,
+      "step": 4070
+    },
+    {
+      "entropy": 5.471702003479004,
+      "epoch": 3.376139188069594,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004195401557829907,
+      "loss": 5.2368,
+      "mean_token_accuracy": 0.17052597552537918,
+      "num_tokens": 7422362.0,
+      "step": 4075
+    },
+    {
+      "entropy": 5.4563977241516115,
+      "epoch": 3.380281690140845,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041929511213146343,
+      "loss": 5.1661,
+      "mean_token_accuracy": 0.18033864200115204,
+      "num_tokens": 7431350.0,
+      "step": 4080
+    },
+    {
+      "entropy": 5.4815953254699705,
+      "epoch": 3.384424192212096,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004190497774209266,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.1800685152411461,
+      "num_tokens": 7440382.0,
+      "step": 4085
+    },
+    {
+      "entropy": 5.51438536643982,
+      "epoch": 3.3885666942833472,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00041880415214624715,
+      "loss": 5.2355,
+      "mean_token_accuracy": 0.17847414761781694,
+      "num_tokens": 7449357.0,
+      "step": 4090
+    },
+    {
+      "entropy": 5.463125705718994,
+      "epoch": 3.3927091963545983,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004185582368028781,
+      "loss": 5.1468,
+      "mean_token_accuracy": 0.1853232800960541,
+      "num_tokens": 7457544.0,
+      "step": 4095
+    },
+    {
+      "entropy": 5.409591102600098,
+      "epoch": 3.3968516984258494,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004183120318868577,
+      "loss": 5.1616,
+      "mean_token_accuracy": 0.18774343580007552,
+      "num_tokens": 7465915.0,
+      "step": 4100
+    },
+    {
+      "entropy": 5.435869741439819,
+      "epoch": 3.4009942004971,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00041806553789480787,
+      "loss": 5.1161,
+      "mean_token_accuracy": 0.1833360970020294,
+      "num_tokens": 7474551.0,
+      "step": 4105
+    },
+    {
+      "entropy": 5.507905626296997,
+      "epoch": 3.405136702568351,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00041781875532393423,
+      "loss": 5.2287,
+      "mean_token_accuracy": 0.17473389357328414,
+      "num_tokens": 7483271.0,
+      "step": 4110
+    },
+    {
+      "entropy": 5.474280261993409,
+      "epoch": 3.4092792046396023,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00041757168467202404,
+      "loss": 5.2371,
+      "mean_token_accuracy": 0.17051266878843307,
+      "num_tokens": 7493179.0,
+      "step": 4115
+    },
+    {
+      "entropy": 5.47375521659851,
+      "epoch": 3.4134217067108534,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00041732432643744576,
+      "loss": 5.2132,
+      "mean_token_accuracy": 0.17562344074249267,
+      "num_tokens": 7501858.0,
+      "step": 4120
+    },
+    {
+      "entropy": 5.562008953094482,
+      "epoch": 3.4175642087821045,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004170766811191481,
+      "loss": 5.282,
+      "mean_token_accuracy": 0.16895801872014998,
+      "num_tokens": 7511817.0,
+      "step": 4125
+    },
+    {
+      "entropy": 5.3949895858764645,
+      "epoch": 3.421706710853355,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.0004168287492166587,
+      "loss": 5.2513,
+      "mean_token_accuracy": 0.175115604698658,
+      "num_tokens": 7521655.0,
+      "step": 4130
+    },
+    {
+      "entropy": 5.478516006469727,
+      "epoch": 3.4258492129246063,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041658053123008325,
+      "loss": 5.2289,
+      "mean_token_accuracy": 0.17174260020256044,
+      "num_tokens": 7531321.0,
+      "step": 4135
+    },
+    {
+      "entropy": 5.469200515747071,
+      "epoch": 3.4299917149958574,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004163320276601046,
+      "loss": 5.2104,
+      "mean_token_accuracy": 0.17538849860429764,
+      "num_tokens": 7540613.0,
+      "step": 4140
+    },
+    {
+      "entropy": 5.478423690795898,
+      "epoch": 3.4341342170671085,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004160832390079816,
+      "loss": 5.2823,
+      "mean_token_accuracy": 0.17514234632253647,
+      "num_tokens": 7549598.0,
+      "step": 4145
+    },
+    {
+      "entropy": 5.449503993988037,
+      "epoch": 3.4382767191383596,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00041583416577554815,
+      "loss": 5.1509,
+      "mean_token_accuracy": 0.18169643133878707,
+      "num_tokens": 7558738.0,
+      "step": 4150
+    },
+    {
+      "entropy": 5.454873323440552,
+      "epoch": 3.4424192212096107,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041558480846521213,
+      "loss": 5.1996,
+      "mean_token_accuracy": 0.17627429366111755,
+      "num_tokens": 7566873.0,
+      "step": 4155
+    },
+    {
+      "entropy": 5.413073778152466,
+      "epoch": 3.446561723280862,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041533516757995455,
+      "loss": 5.18,
+      "mean_token_accuracy": 0.1794169783592224,
+      "num_tokens": 7576645.0,
+      "step": 4160
+    },
+    {
+      "entropy": 5.449489498138428,
+      "epoch": 3.4507042253521125,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004150852436233283,
+      "loss": 5.1844,
+      "mean_token_accuracy": 0.17338148206472398,
+      "num_tokens": 7584854.0,
+      "step": 4165
+    },
+    {
+      "entropy": 5.500524044036865,
+      "epoch": 3.4548467274233636,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004148350370994574,
+      "loss": 5.3142,
+      "mean_token_accuracy": 0.16781232208013536,
+      "num_tokens": 7594022.0,
+      "step": 4170
+    },
+    {
+      "entropy": 5.458495187759399,
+      "epoch": 3.4589892294946147,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004145845485130357,
+      "loss": 5.1757,
+      "mean_token_accuracy": 0.17461147904396057,
+      "num_tokens": 7603259.0,
+      "step": 4175
+    },
+    {
+      "entropy": 5.453242301940918,
+      "epoch": 3.463131731565866,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00041433377836932594,
+      "loss": 5.2853,
+      "mean_token_accuracy": 0.1680028423666954,
+      "num_tokens": 7613451.0,
+      "step": 4180
+    },
+    {
+      "entropy": 5.533868455886841,
+      "epoch": 3.467274233637117,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00041408272717415913,
+      "loss": 5.245,
+      "mean_token_accuracy": 0.17225596755743028,
+      "num_tokens": 7622218.0,
+      "step": 4185
+    },
+    {
+      "entropy": 5.351213121414185,
+      "epoch": 3.4714167357083676,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004138313954339327,
+      "loss": 5.104,
+      "mean_token_accuracy": 0.17463669180870056,
+      "num_tokens": 7630508.0,
+      "step": 4190
+    },
+    {
+      "entropy": 5.488496780395508,
+      "epoch": 3.4755592377796187,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004135797836556106,
+      "loss": 5.1982,
+      "mean_token_accuracy": 0.181541608273983,
+      "num_tokens": 7640141.0,
+      "step": 4195
+    },
+    {
+      "entropy": 5.459699392318726,
+      "epoch": 3.47970173985087,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041332789234672094,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1721531167626381,
+      "num_tokens": 7648764.0,
+      "step": 4200
+    },
+    {
+      "entropy": 5.406872129440307,
+      "epoch": 3.483844241922121,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004130757220153561,
+      "loss": 5.1952,
+      "mean_token_accuracy": 0.18173792064189911,
+      "num_tokens": 7658642.0,
+      "step": 4205
+    },
+    {
+      "entropy": 5.544135618209839,
+      "epoch": 3.487986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004128232731701712,
+      "loss": 5.377,
+      "mean_token_accuracy": 0.16519460082054138,
+      "num_tokens": 7667524.0,
+      "step": 4210
+    },
+    {
+      "entropy": 5.488169002532959,
+      "epoch": 3.492129246064623,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004125705463203833,
+      "loss": 5.1928,
+      "mean_token_accuracy": 0.18297115415334703,
+      "num_tokens": 7675800.0,
+      "step": 4215
+    },
+    {
+      "entropy": 5.490040969848633,
+      "epoch": 3.4962717481358743,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041231754197576986,
+      "loss": 5.2252,
+      "mean_token_accuracy": 0.1757526621222496,
+      "num_tokens": 7683742.0,
+      "step": 4220
+    },
+    {
+      "entropy": 5.468280076980591,
+      "epoch": 3.5004142502071254,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004120642606466685,
+      "loss": 5.2278,
+      "mean_token_accuracy": 0.1796238511800766,
+      "num_tokens": 7692379.0,
+      "step": 4225
+    },
+    {
+      "entropy": 5.494374942779541,
+      "epoch": 3.504556752278376,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004118107028439751,
+      "loss": 5.2138,
+      "mean_token_accuracy": 0.17588699012994766,
+      "num_tokens": 7702156.0,
+      "step": 4230
+    },
+    {
+      "entropy": 5.467664003372192,
+      "epoch": 3.508699254349627,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00041155686907914365,
+      "loss": 5.2275,
+      "mean_token_accuracy": 0.1754150867462158,
+      "num_tokens": 7712135.0,
+      "step": 4235
+    },
+    {
+      "entropy": 5.451332426071167,
+      "epoch": 3.5128417564208783,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004113027598641845,
+      "loss": 5.1785,
+      "mean_token_accuracy": 0.1752738744020462,
+      "num_tokens": 7721347.0,
+      "step": 4240
+    },
+    {
+      "entropy": 5.471200275421142,
+      "epoch": 3.5169842584921294,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004110483757116637,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.1789921909570694,
+      "num_tokens": 7731351.0,
+      "step": 4245
+    },
+    {
+      "entropy": 5.433224248886108,
+      "epoch": 3.52112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00041079371713470195,
+      "loss": 5.0996,
+      "mean_token_accuracy": 0.18778069019317628,
+      "num_tokens": 7740413.0,
+      "step": 4250
+    },
+    {
+      "entropy": 5.416608476638794,
+      "epoch": 3.525269262634631,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041053878464697343,
+      "loss": 5.1977,
+      "mean_token_accuracy": 0.18009850829839708,
+      "num_tokens": 7749319.0,
+      "step": 4255
+    },
+    {
+      "entropy": 5.519042015075684,
+      "epoch": 3.5294117647058822,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004102835787627047,
+      "loss": 5.2446,
+      "mean_token_accuracy": 0.17312991321086885,
+      "num_tokens": 7757936.0,
+      "step": 4260
+    },
+    {
+      "entropy": 5.542943048477173,
+      "epoch": 3.5335542667771334,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004100280999966741,
+      "loss": 5.3083,
+      "mean_token_accuracy": 0.17331433892250062,
+      "num_tokens": 7767349.0,
+      "step": 4265
+    },
+    {
+      "entropy": 5.4042651653289795,
+      "epoch": 3.5376967688483845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00040977234886421007,
+      "loss": 5.1133,
+      "mean_token_accuracy": 0.17731781899929047,
+      "num_tokens": 7776448.0,
+      "step": 4270
+    },
+    {
+      "entropy": 5.4222177028656,
+      "epoch": 3.5418392709196356,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040951632588119064,
+      "loss": 5.209,
+      "mean_token_accuracy": 0.17401482313871383,
+      "num_tokens": 7785768.0,
+      "step": 4275
+    },
+    {
+      "entropy": 5.600345802307129,
+      "epoch": 3.5459817729908867,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004092600315640422,
+      "loss": 5.2999,
+      "mean_token_accuracy": 0.1715576618909836,
+      "num_tokens": 7794803.0,
+      "step": 4280
+    },
+    {
+      "entropy": 5.411063814163208,
+      "epoch": 3.550124275062138,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004090034664297382,
+      "loss": 5.157,
+      "mean_token_accuracy": 0.17963247746229172,
+      "num_tokens": 7803533.0,
+      "step": 4285
+    },
+    {
+      "entropy": 5.421855831146241,
+      "epoch": 3.5542667771333885,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00040874663099579883,
+      "loss": 5.2246,
+      "mean_token_accuracy": 0.1706953912973404,
+      "num_tokens": 7812854.0,
+      "step": 4290
+    },
+    {
+      "entropy": 5.49954047203064,
+      "epoch": 3.5584092792046396,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040848952578028915,
+      "loss": 5.1628,
+      "mean_token_accuracy": 0.174958436191082,
+      "num_tokens": 7821683.0,
+      "step": 4295
+    },
+    {
+      "entropy": 5.501424264907837,
+      "epoch": 3.5625517812758907,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004082321513018183,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.18335361480712892,
+      "num_tokens": 7830967.0,
+      "step": 4300
+    },
+    {
+      "entropy": 5.48747296333313,
+      "epoch": 3.566694283347142,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00040797450807953897,
+      "loss": 5.2159,
+      "mean_token_accuracy": 0.17444179207086563,
+      "num_tokens": 7841179.0,
+      "step": 4305
+    },
+    {
+      "entropy": 5.489819192886353,
+      "epoch": 3.5708367854183924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004077165966331454,
+      "loss": 5.1587,
+      "mean_token_accuracy": 0.1852751389145851,
+      "num_tokens": 7849841.0,
+      "step": 4310
+    },
+    {
+      "entropy": 5.301797342300415,
+      "epoch": 3.5749792874896436,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004074584174828735,
+      "loss": 5.2184,
+      "mean_token_accuracy": 0.1747626096010208,
+      "num_tokens": 7859390.0,
+      "step": 4315
+    },
+    {
+      "entropy": 5.493851947784424,
+      "epoch": 3.5791217895608947,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040719997114949856,
+      "loss": 5.1913,
+      "mean_token_accuracy": 0.17565421015024185,
+      "num_tokens": 7868848.0,
+      "step": 4320
+    },
+    {
+      "entropy": 5.506833124160766,
+      "epoch": 3.5832642916321458,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040694125815433533,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.18058759868144988,
+      "num_tokens": 7877521.0,
+      "step": 4325
+    },
+    {
+      "entropy": 5.488465976715088,
+      "epoch": 3.587406793703397,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004066822790192359,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.17181889414787294,
+      "num_tokens": 7886355.0,
+      "step": 4330
+    },
+    {
+      "entropy": 5.437413024902344,
+      "epoch": 3.591549295774648,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00040642303426658967,
+      "loss": 5.2518,
+      "mean_token_accuracy": 0.17224401384592056,
+      "num_tokens": 7895028.0,
+      "step": 4335
+    },
+    {
+      "entropy": 5.379445266723633,
+      "epoch": 3.595691797845899,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040616352441932163,
+      "loss": 5.1282,
+      "mean_token_accuracy": 0.17695483118295668,
+      "num_tokens": 7904192.0,
+      "step": 4340
+    },
+    {
+      "entropy": 5.439553546905517,
+      "epoch": 3.59983429991715,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00040590375000089146,
+      "loss": 5.2066,
+      "mean_token_accuracy": 0.17032651007175445,
+      "num_tokens": 7912328.0,
+      "step": 4345
+    },
+    {
+      "entropy": 5.5121315002441404,
+      "epoch": 3.603976801988401,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00040564371153529256,
+      "loss": 5.2517,
+      "mean_token_accuracy": 0.1720314145088196,
+      "num_tokens": 7922594.0,
+      "step": 4350
+    },
+    {
+      "entropy": 5.450373315811158,
+      "epoch": 3.608119304059652,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004053834095470509,
+      "loss": 5.2201,
+      "mean_token_accuracy": 0.16222715824842454,
+      "num_tokens": 7932345.0,
+      "step": 4355
+    },
+    {
+      "entropy": 5.505369853973389,
+      "epoch": 3.612261806130903,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00040512284456122407,
+      "loss": 5.2236,
+      "mean_token_accuracy": 0.17660728394985198,
+      "num_tokens": 7942800.0,
+      "step": 4360
+    },
+    {
+      "entropy": 5.410261583328247,
+      "epoch": 3.616404308202154,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00040486201710340016,
+      "loss": 5.1287,
+      "mean_token_accuracy": 0.1859680861234665,
+      "num_tokens": 7951094.0,
+      "step": 4365
+    },
+    {
+      "entropy": 5.429905796051026,
+      "epoch": 3.6205468102734053,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040460092769969654,
+      "loss": 5.1947,
+      "mean_token_accuracy": 0.17089750617742538,
+      "num_tokens": 7960652.0,
+      "step": 4370
+    },
+    {
+      "entropy": 5.518308162689209,
+      "epoch": 3.624689312344656,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004043395768767592,
+      "loss": 5.2977,
+      "mean_token_accuracy": 0.16983983814716339,
+      "num_tokens": 7969350.0,
+      "step": 4375
+    },
+    {
+      "entropy": 5.475090789794922,
+      "epoch": 3.628831814415907,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004040779651617612,
+      "loss": 5.1831,
+      "mean_token_accuracy": 0.1762356474995613,
+      "num_tokens": 7978969.0,
+      "step": 4380
+    },
+    {
+      "entropy": 5.422111892700196,
+      "epoch": 3.632974316487158,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040381609308240207,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.1777448311448097,
+      "num_tokens": 7988531.0,
+      "step": 4385
+    },
+    {
+      "entropy": 5.423072242736817,
+      "epoch": 3.6371168185584093,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040355396116690634,
+      "loss": 5.1864,
+      "mean_token_accuracy": 0.17186058908700944,
+      "num_tokens": 7996576.0,
+      "step": 4390
+    },
+    {
+      "entropy": 5.435235500335693,
+      "epoch": 3.6412593206296604,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004032915699440227,
+      "loss": 5.2216,
+      "mean_token_accuracy": 0.17088689655065536,
+      "num_tokens": 8006279.0,
+      "step": 4395
+    },
+    {
+      "entropy": 5.496079921722412,
+      "epoch": 3.6454018227009115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000403028919943023,
+      "loss": 5.2049,
+      "mean_token_accuracy": 0.17314011603593826,
+      "num_tokens": 8015476.0,
+      "step": 4400
+    },
+    {
+      "entropy": 5.474205350875854,
+      "epoch": 3.6495443247721626,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004027660116937009,
+      "loss": 5.2326,
+      "mean_token_accuracy": 0.17077937126159667,
+      "num_tokens": 8025450.0,
+      "step": 4405
+    },
+    {
+      "entropy": 5.4402251720428465,
+      "epoch": 3.6536868268434133,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004025028457263712,
+      "loss": 5.2238,
+      "mean_token_accuracy": 0.17810273319482803,
+      "num_tokens": 8034850.0,
+      "step": 4410
+    },
+    {
+      "entropy": 5.3980237483978275,
+      "epoch": 3.6578293289146644,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004022394225718684,
+      "loss": 5.1709,
+      "mean_token_accuracy": 0.17368220686912536,
+      "num_tokens": 8044526.0,
+      "step": 4415
+    },
+    {
+      "entropy": 5.446775197982788,
+      "epoch": 3.6619718309859155,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004019757427615456,
+      "loss": 5.1341,
+      "mean_token_accuracy": 0.17317759096622468,
+      "num_tokens": 8054033.0,
+      "step": 4420
+    },
+    {
+      "entropy": 5.478370094299317,
+      "epoch": 3.6661143330571666,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0004017118068272739,
+      "loss": 5.2298,
+      "mean_token_accuracy": 0.17926038503646852,
+      "num_tokens": 8063535.0,
+      "step": 4425
+    },
+    {
+      "entropy": 5.495908880233765,
+      "epoch": 3.6702568351284177,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040144761530144096,
+      "loss": 5.2181,
+      "mean_token_accuracy": 0.18870080262422562,
+      "num_tokens": 8073079.0,
+      "step": 4430
+    },
+    {
+      "entropy": 5.367459678649903,
+      "epoch": 3.6743993371996684,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00040118316871695,
+      "loss": 5.1505,
+      "mean_token_accuracy": 0.18230827152729034,
+      "num_tokens": 8082925.0,
+      "step": 4435
+    },
+    {
+      "entropy": 5.457099437713623,
+      "epoch": 3.6785418392709195,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040091846760721857,
+      "loss": 5.2466,
+      "mean_token_accuracy": 0.17278454601764678,
+      "num_tokens": 8092038.0,
+      "step": 4440
+    },
+    {
+      "entropy": 5.460009002685547,
+      "epoch": 3.6826843413421706,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040065351250617774,
+      "loss": 5.2137,
+      "mean_token_accuracy": 0.1679331600666046,
+      "num_tokens": 8101581.0,
+      "step": 4445
+    },
+    {
+      "entropy": 5.392482471466065,
+      "epoch": 3.6868268434134217,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00040038830394827107,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.17032679468393325,
+      "num_tokens": 8111392.0,
+      "step": 4450
+    },
+    {
+      "entropy": 5.5369532108306885,
+      "epoch": 3.690969345484673,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000400122842468453,
+      "loss": 5.2742,
+      "mean_token_accuracy": 0.16916199624538422,
+      "num_tokens": 8120941.0,
+      "step": 4455
+    },
+    {
+      "entropy": 5.403111267089844,
+      "epoch": 3.695111847555924,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003998571286021884,
+      "loss": 5.1822,
+      "mean_token_accuracy": 0.1721450611948967,
+      "num_tokens": 8129983.0,
+      "step": 4460
+    },
+    {
+      "entropy": 5.482623481750489,
+      "epoch": 3.699254349627175,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003995911628854512,
+      "loss": 5.3064,
+      "mean_token_accuracy": 0.1740827202796936,
+      "num_tokens": 8139428.0,
+      "step": 4465
+    },
+    {
+      "entropy": 5.509563970565796,
+      "epoch": 3.7033968516984257,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003993249458547234,
+      "loss": 5.2302,
+      "mean_token_accuracy": 0.16980735808610917,
+      "num_tokens": 8148520.0,
+      "step": 4470
+    },
+    {
+      "entropy": 5.3746521949768065,
+      "epoch": 3.707539353769677,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039905847804699363,
+      "loss": 5.0676,
+      "mean_token_accuracy": 0.18766331672668457,
+      "num_tokens": 8156908.0,
+      "step": 4475
+    },
+    {
+      "entropy": 5.446433591842651,
+      "epoch": 3.711681855840928,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00039879175999975677,
+      "loss": 5.2156,
+      "mean_token_accuracy": 0.18001207262277602,
+      "num_tokens": 8165677.0,
+      "step": 4480
+    },
+    {
+      "entropy": 5.386814975738526,
+      "epoch": 3.715824357912179,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00039852479225101217,
+      "loss": 5.1883,
+      "mean_token_accuracy": 0.17356531620025634,
+      "num_tokens": 8174786.0,
+      "step": 4485
+    },
+    {
+      "entropy": 5.454575872421264,
+      "epoch": 3.71996685998343,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00039825757533926305,
+      "loss": 5.2484,
+      "mean_token_accuracy": 0.16340016275644303,
+      "num_tokens": 8184150.0,
+      "step": 4490
+    },
+    {
+      "entropy": 5.4400050163269045,
+      "epoch": 3.724109362054681,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039799010980351494,
+      "loss": 5.1455,
+      "mean_token_accuracy": 0.1879016414284706,
+      "num_tokens": 8192257.0,
+      "step": 4495
+    },
+    {
+      "entropy": 5.452324247360229,
+      "epoch": 3.728251864125932,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00039772239618327535,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.1748780906200409,
+      "num_tokens": 8201041.0,
+      "step": 4500
+    },
+    {
+      "epoch": 3.728251864125932,
+      "eval_entropy": 5.297962182620441,
+      "eval_loss": 5.854063987731934,
+      "eval_mean_token_accuracy": 0.15576711011085428,
+      "eval_num_tokens": 8201041.0,
+      "eval_runtime": 2.7449,
+      "eval_samples_per_second": 1365.057,
+      "eval_steps_per_second": 170.86,
+      "step": 4500
+    },
+    {
+      "entropy": 5.430630874633789,
+      "epoch": 3.732394366197183,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00039745443501855156,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18020173758268357,
+      "num_tokens": 8209881.0,
+      "step": 4505
+    },
+    {
+      "entropy": 5.426507759094238,
+      "epoch": 3.736536868268434,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039718622684985075,
+      "loss": 5.2198,
+      "mean_token_accuracy": 0.1857784554362297,
+      "num_tokens": 8218504.0,
+      "step": 4510
+    },
+    {
+      "entropy": 5.427436780929566,
+      "epoch": 3.7406793703396852,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000396917772218178,
+      "loss": 5.0397,
+      "mean_token_accuracy": 0.19483556151390075,
+      "num_tokens": 8226785.0,
+      "step": 4515
+    },
+    {
+      "entropy": 5.463036251068115,
+      "epoch": 3.7448218724109363,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0003966490716650357,
+      "loss": 5.1879,
+      "mean_token_accuracy": 0.1808652698993683,
+      "num_tokens": 8236092.0,
+      "step": 4520
+    },
+    {
+      "entropy": 5.398115777969361,
+      "epoch": 3.7489643744821874,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039638012573242225,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18426763266324997,
+      "num_tokens": 8245297.0,
+      "step": 4525
+    },
+    {
+      "entropy": 5.498414611816406,
+      "epoch": 3.7531068765534386,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003961109349628309,
+      "loss": 5.2544,
+      "mean_token_accuracy": 0.16994525790214537,
+      "num_tokens": 8254772.0,
+      "step": 4530
+    },
+    {
+      "entropy": 5.488787031173706,
+      "epoch": 3.757249378624689,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000395841499899249,
+      "loss": 5.3168,
+      "mean_token_accuracy": 0.1684611275792122,
+      "num_tokens": 8264310.0,
+      "step": 4535
+    },
+    {
+      "entropy": 5.4844201564788815,
+      "epoch": 3.7613918806959403,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00039557182108515624,
+      "loss": 5.2197,
+      "mean_token_accuracy": 0.1802253693342209,
+      "num_tokens": 8274184.0,
+      "step": 4540
+    },
+    {
+      "entropy": 5.40406289100647,
+      "epoch": 3.7655343827671914,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039530189906452457,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.18066346347332002,
+      "num_tokens": 8283151.0,
+      "step": 4545
+    },
+    {
+      "entropy": 5.490919494628907,
+      "epoch": 3.7696768848384425,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00039503173438181605,
+      "loss": 5.2375,
+      "mean_token_accuracy": 0.16958207488059998,
+      "num_tokens": 8292574.0,
+      "step": 4550
+    },
+    {
+      "entropy": 5.37688570022583,
+      "epoch": 3.773819386909693,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039476132758198236,
+      "loss": 5.1589,
+      "mean_token_accuracy": 0.17906700521707536,
+      "num_tokens": 8301281.0,
+      "step": 4555
+    },
+    {
+      "entropy": 5.404768991470337,
+      "epoch": 3.7779618889809443,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039449067921046353,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.184201979637146,
+      "num_tokens": 8310201.0,
+      "step": 4560
+    },
+    {
+      "entropy": 5.5153802871704105,
+      "epoch": 3.7821043910521954,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00039421978981318703,
+      "loss": 5.243,
+      "mean_token_accuracy": 0.17428653091192245,
+      "num_tokens": 8320369.0,
+      "step": 4565
+    },
+    {
+      "entropy": 5.490174674987793,
+      "epoch": 3.7862468931234465,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00039394865993656625,
+      "loss": 5.2332,
+      "mean_token_accuracy": 0.17829314470291138,
+      "num_tokens": 8329519.0,
+      "step": 4570
+    },
+    {
+      "entropy": 5.4183516025543215,
+      "epoch": 3.7903893951946976,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003936772901274999,
+      "loss": 5.2233,
+      "mean_token_accuracy": 0.16786337196826934,
+      "num_tokens": 8338282.0,
+      "step": 4575
+    },
+    {
+      "entropy": 5.422275066375732,
+      "epoch": 3.7945318972659487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003934056809333705,
+      "loss": 5.2367,
+      "mean_token_accuracy": 0.1760738953948021,
+      "num_tokens": 8346861.0,
+      "step": 4580
+    },
+    {
+      "entropy": 5.493864250183106,
+      "epoch": 3.7986743993372,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039313383290204333,
+      "loss": 5.2689,
+      "mean_token_accuracy": 0.16675272732973098,
+      "num_tokens": 8356078.0,
+      "step": 4585
+    },
+    {
+      "entropy": 5.449766826629639,
+      "epoch": 3.802816901408451,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003928617465818658,
+      "loss": 5.2279,
+      "mean_token_accuracy": 0.16728012412786483,
+      "num_tokens": 8365487.0,
+      "step": 4590
+    },
+    {
+      "entropy": 5.477828598022461,
+      "epoch": 3.8069594034797016,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00039258942252166554,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.17344195693731307,
+      "num_tokens": 8374622.0,
+      "step": 4595
+    },
+    {
+      "entropy": 5.467281007766724,
+      "epoch": 3.8111019055509527,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003923168612707502,
+      "loss": 5.1437,
+      "mean_token_accuracy": 0.1838704138994217,
+      "num_tokens": 8383312.0,
+      "step": 4600
+    },
+    {
+      "entropy": 5.375951862335205,
+      "epoch": 3.815244407622204,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003920440633789053,
+      "loss": 5.1668,
+      "mean_token_accuracy": 0.17426021844148637,
+      "num_tokens": 8391987.0,
+      "step": 4605
+    },
+    {
+      "entropy": 5.411648225784302,
+      "epoch": 3.819386909693455,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039177102939639424,
+      "loss": 5.1782,
+      "mean_token_accuracy": 0.17309755831956863,
+      "num_tokens": 8401263.0,
+      "step": 4610
+    },
+    {
+      "entropy": 5.520602798461914,
+      "epoch": 3.8235294117647056,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003914977598739563,
+      "loss": 5.1998,
+      "mean_token_accuracy": 0.18663258850574493,
+      "num_tokens": 8410110.0,
+      "step": 4615
+    },
+    {
+      "entropy": 5.505752420425415,
+      "epoch": 3.8276719138359567,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003912242553628059,
+      "loss": 5.2827,
+      "mean_token_accuracy": 0.16937017440795898,
+      "num_tokens": 8419321.0,
+      "step": 4620
+    },
+    {
+      "entropy": 5.470319938659668,
+      "epoch": 3.831814415907208,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003909505164146318,
+      "loss": 5.2512,
+      "mean_token_accuracy": 0.17635022550821305,
+      "num_tokens": 8428376.0,
+      "step": 4625
+    },
+    {
+      "entropy": 5.446829080581665,
+      "epoch": 3.835956917978459,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000390676543581595,
+      "loss": 5.1826,
+      "mean_token_accuracy": 0.1743323564529419,
+      "num_tokens": 8437263.0,
+      "step": 4630
+    },
+    {
+      "entropy": 5.361465311050415,
+      "epoch": 3.84009942004971,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003904023374163289,
+      "loss": 5.1943,
+      "mean_token_accuracy": 0.17949013262987137,
+      "num_tokens": 8445889.0,
+      "step": 4635
+    },
+    {
+      "entropy": 5.503735971450806,
+      "epoch": 3.844241922120961,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003901278984719372,
+      "loss": 5.3739,
+      "mean_token_accuracy": 0.16415481567382811,
+      "num_tokens": 8456086.0,
+      "step": 4640
+    },
+    {
+      "entropy": 5.492273569107056,
+      "epoch": 3.8483844241922123,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00038985322730199326,
+      "loss": 5.2018,
+      "mean_token_accuracy": 0.1795567825436592,
+      "num_tokens": 8465150.0,
+      "step": 4645
+    },
+    {
+      "entropy": 5.431647396087646,
+      "epoch": 3.8525269262634634,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003895783244605389,
+      "loss": 5.2783,
+      "mean_token_accuracy": 0.1720671087503433,
+      "num_tokens": 8474172.0,
+      "step": 4650
+    },
+    {
+      "entropy": 5.404905462265015,
+      "epoch": 3.856669428334714,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00038930319050208315,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.18708953112363816,
+      "num_tokens": 8483636.0,
+      "step": 4655
+    },
+    {
+      "entropy": 5.408392810821534,
+      "epoch": 3.860811930405965,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00038902782598160127,
+      "loss": 5.1091,
+      "mean_token_accuracy": 0.1881578117609024,
+      "num_tokens": 8491560.0,
+      "step": 4660
+    },
+    {
+      "entropy": 5.484521150588989,
+      "epoch": 3.8649544324772163,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00038875223145453346,
+      "loss": 5.4046,
+      "mean_token_accuracy": 0.17662398070096968,
+      "num_tokens": 8501685.0,
+      "step": 4665
+    },
+    {
+      "entropy": 5.551066589355469,
+      "epoch": 3.8690969345484674,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003884764074767842,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.17176942974328996,
+      "num_tokens": 8510580.0,
+      "step": 4670
+    },
+    {
+      "entropy": 5.477302551269531,
+      "epoch": 3.873239436619718,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003882003546047205,
+      "loss": 5.2013,
+      "mean_token_accuracy": 0.17522621154785156,
+      "num_tokens": 8519595.0,
+      "step": 4675
+    },
+    {
+      "entropy": 5.506098508834839,
+      "epoch": 3.877381938690969,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00038792407339517123,
+      "loss": 5.2786,
+      "mean_token_accuracy": 0.17400375306606292,
+      "num_tokens": 8529118.0,
+      "step": 4680
+    },
+    {
+      "entropy": 5.507658243179321,
+      "epoch": 3.8815244407622203,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00038764756440542574,
+      "loss": 5.2477,
+      "mean_token_accuracy": 0.17185091674327851,
+      "num_tokens": 8539322.0,
+      "step": 4685
+    },
+    {
+      "entropy": 5.454025650024414,
+      "epoch": 3.8856669428334714,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038737082819323285,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.17740404605865479,
+      "num_tokens": 8548707.0,
+      "step": 4690
+    },
+    {
+      "entropy": 5.427890157699585,
+      "epoch": 3.8898094449047225,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00038709386531679974,
+      "loss": 5.2576,
+      "mean_token_accuracy": 0.1718251511454582,
+      "num_tokens": 8557500.0,
+      "step": 4695
+    },
+    {
+      "entropy": 5.436252593994141,
+      "epoch": 3.8939519469759736,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00038681667633479086,
+      "loss": 5.2621,
+      "mean_token_accuracy": 0.1682343602180481,
+      "num_tokens": 8567465.0,
+      "step": 4700
+    },
+    {
+      "entropy": 5.381856250762939,
+      "epoch": 3.8980944490472247,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038653926180632665,
+      "loss": 5.1165,
+      "mean_token_accuracy": 0.18321423530578612,
+      "num_tokens": 8576680.0,
+      "step": 4705
+    },
+    {
+      "entropy": 5.495894527435302,
+      "epoch": 3.902236951118476,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00038626162229098257,
+      "loss": 5.2631,
+      "mean_token_accuracy": 0.16617788672447203,
+      "num_tokens": 8585539.0,
+      "step": 4710
+    },
+    {
+      "entropy": 5.400326347351074,
+      "epoch": 3.9063794531897265,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003859837583487877,
+      "loss": 5.1007,
+      "mean_token_accuracy": 0.18613590002059938,
+      "num_tokens": 8593598.0,
+      "step": 4715
+    },
+    {
+      "entropy": 5.4148589134216305,
+      "epoch": 3.9105219552609776,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003857056705402241,
+      "loss": 5.236,
+      "mean_token_accuracy": 0.1721765860915184,
+      "num_tokens": 8603440.0,
+      "step": 4720
+    },
+    {
+      "entropy": 5.384281969070434,
+      "epoch": 3.9146644573322287,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003854273594262253,
+      "loss": 5.0591,
+      "mean_token_accuracy": 0.1858549162745476,
+      "num_tokens": 8612490.0,
+      "step": 4725
+    },
+    {
+      "entropy": 5.387153816223145,
+      "epoch": 3.91880695940348,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003851488255681752,
+      "loss": 5.1508,
+      "mean_token_accuracy": 0.17980385273694993,
+      "num_tokens": 8621994.0,
+      "step": 4730
+    },
+    {
+      "entropy": 5.462166833877563,
+      "epoch": 3.922949461474731,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000384870069527907,
+      "loss": 5.2269,
+      "mean_token_accuracy": 0.16994049549102783,
+      "num_tokens": 8631185.0,
+      "step": 4735
+    },
+    {
+      "entropy": 5.445327711105347,
+      "epoch": 3.9270919635459816,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00038459109186770213,
+      "loss": 5.1201,
+      "mean_token_accuracy": 0.18937034606933595,
+      "num_tokens": 8639018.0,
+      "step": 4740
+    },
+    {
+      "entropy": 5.365725660324097,
+      "epoch": 3.9312344656172327,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00038431189315028905,
+      "loss": 5.1293,
+      "mean_token_accuracy": 0.1805494785308838,
+      "num_tokens": 8647672.0,
+      "step": 4745
+    },
+    {
+      "entropy": 5.42286114692688,
+      "epoch": 3.9353769676884838,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003840324739388419,
+      "loss": 5.2659,
+      "mean_token_accuracy": 0.16662627309560776,
+      "num_tokens": 8656638.0,
+      "step": 4750
+    },
+    {
+      "entropy": 5.4803203582763675,
+      "epoch": 3.939519469759735,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00038375283479698,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.18231208473443986,
+      "num_tokens": 8666167.0,
+      "step": 4755
+    },
+    {
+      "entropy": 5.505121231079102,
+      "epoch": 3.943661971830986,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003834729762887659,
+      "loss": 5.3067,
+      "mean_token_accuracy": 0.16447765678167342,
+      "num_tokens": 8676435.0,
+      "step": 4760
+    },
+    {
+      "entropy": 5.413615751266479,
+      "epoch": 3.947804473902237,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003831928989787049,
+      "loss": 5.1808,
+      "mean_token_accuracy": 0.18012969940900803,
+      "num_tokens": 8686011.0,
+      "step": 4765
+    },
+    {
+      "entropy": 5.463970613479614,
+      "epoch": 3.951946975973488,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003829126034317435,
+      "loss": 5.1959,
+      "mean_token_accuracy": 0.17213619947433473,
+      "num_tokens": 8695063.0,
+      "step": 4770
+    },
+    {
+      "entropy": 5.517300796508789,
+      "epoch": 3.956089478044739,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003826320902132684,
+      "loss": 5.299,
+      "mean_token_accuracy": 0.16880902647972107,
+      "num_tokens": 8704585.0,
+      "step": 4775
+    },
+    {
+      "entropy": 5.469470262527466,
+      "epoch": 3.96023198011599,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038235135988910545,
+      "loss": 5.2111,
+      "mean_token_accuracy": 0.17501715570688248,
+      "num_tokens": 8714097.0,
+      "step": 4780
+    },
+    {
+      "entropy": 5.433980226516724,
+      "epoch": 3.964374482187241,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00038207041302551844,
+      "loss": 5.1327,
+      "mean_token_accuracy": 0.1802523225545883,
+      "num_tokens": 8722890.0,
+      "step": 4785
+    },
+    {
+      "entropy": 5.36038613319397,
+      "epoch": 3.968516984258492,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003817892501892078,
+      "loss": 5.1474,
+      "mean_token_accuracy": 0.18226009160280227,
+      "num_tokens": 8732046.0,
+      "step": 4790
+    },
+    {
+      "entropy": 5.385818529129028,
+      "epoch": 3.9726594863297433,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038150787194730977,
+      "loss": 5.1867,
+      "mean_token_accuracy": 0.18098812699317932,
+      "num_tokens": 8741750.0,
+      "step": 4795
+    },
+    {
+      "entropy": 5.49769434928894,
+      "epoch": 3.976801988400994,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000381226278867395,
+      "loss": 5.1585,
+      "mean_token_accuracy": 0.17722393125295638,
+      "num_tokens": 8750141.0,
+      "step": 4800
+    },
+    {
+      "entropy": 5.3994584560394285,
+      "epoch": 3.980944490472245,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00038094447151746746,
+      "loss": 5.0956,
+      "mean_token_accuracy": 0.18723244071006775,
+      "num_tokens": 8758567.0,
+      "step": 4805
+    },
+    {
+      "entropy": 5.376461982727051,
+      "epoch": 3.985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003806624504659635,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1782562255859375,
+      "num_tokens": 8767829.0,
+      "step": 4810
+    },
+    {
+      "entropy": 5.416551733016968,
+      "epoch": 3.9892294946147473,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003803802162817503,
+      "loss": 5.0891,
+      "mean_token_accuracy": 0.18413031548261644,
+      "num_tokens": 8776911.0,
+      "step": 4815
+    },
+    {
+      "entropy": 5.403548002243042,
+      "epoch": 3.9933719966859984,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000380097769534125,
+      "loss": 5.2011,
+      "mean_token_accuracy": 0.18309975266456605,
+      "num_tokens": 8786117.0,
+      "step": 4820
+    },
+    {
+      "entropy": 5.401311016082763,
+      "epoch": 3.9975144987572495,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003798151107928136,
+      "loss": 5.1436,
+      "mean_token_accuracy": 0.18381998240947722,
+      "num_tokens": 8795647.0,
+      "step": 4825
+    },
+    {
+      "entropy": 5.363515567779541,
+      "epoch": 4.001657000828501,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00037953224062796967,
+      "loss": 5.1114,
+      "mean_token_accuracy": 0.18405449539422988,
+      "num_tokens": 8803480.0,
+      "step": 4830
+    },
+    {
+      "entropy": 5.504069137573242,
+      "epoch": 4.005799502899752,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003792491596101733,
+      "loss": 4.9454,
+      "mean_token_accuracy": 0.19255731254816055,
+      "num_tokens": 8812825.0,
+      "step": 4835
+    },
+    {
+      "entropy": 5.45196304321289,
+      "epoch": 4.009942004971003,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003789658683104298,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19097152799367906,
+      "num_tokens": 8821911.0,
+      "step": 4840
+    },
+    {
+      "entropy": 5.429521989822388,
+      "epoch": 4.014084507042254,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037868236730016866,
+      "loss": 4.9518,
+      "mean_token_accuracy": 0.18948255032300948,
+      "num_tokens": 8830691.0,
+      "step": 4845
+    },
+    {
+      "entropy": 5.400455188751221,
+      "epoch": 4.018227009113504,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037839865715124234,
+      "loss": 4.9281,
+      "mean_token_accuracy": 0.19010053426027299,
+      "num_tokens": 8840410.0,
+      "step": 4850
+    },
+    {
+      "entropy": 5.374143838882446,
+      "epoch": 4.022369511184755,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00037811473843592534,
+      "loss": 4.9042,
+      "mean_token_accuracy": 0.19410175532102586,
+      "num_tokens": 8849662.0,
+      "step": 4855
+    },
+    {
+      "entropy": 5.4465690612792965,
+      "epoch": 4.026512013256006,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00037783061172691273,
+      "loss": 4.8985,
+      "mean_token_accuracy": 0.19412659406661986,
+      "num_tokens": 8858666.0,
+      "step": 4860
+    },
+    {
+      "entropy": 5.497456216812134,
+      "epoch": 4.0306545153272575,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003775462775973191,
+      "loss": 4.9611,
+      "mean_token_accuracy": 0.1847592905163765,
+      "num_tokens": 8867885.0,
+      "step": 4865
+    },
+    {
+      "entropy": 5.351856470108032,
+      "epoch": 4.034797017398509,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003772617366206773,
+      "loss": 4.9175,
+      "mean_token_accuracy": 0.19424951672554017,
+      "num_tokens": 8877458.0,
+      "step": 4870
+    },
+    {
+      "entropy": 5.363556432723999,
+      "epoch": 4.03893951946976,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037697698937093783,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.18704084753990174,
+      "num_tokens": 8886995.0,
+      "step": 4875
+    },
+    {
+      "entropy": 5.463095617294312,
+      "epoch": 4.043082021541011,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00037669203642246685,
+      "loss": 5.026,
+      "mean_token_accuracy": 0.18413490056991577,
+      "num_tokens": 8895224.0,
+      "step": 4880
+    },
+    {
+      "entropy": 5.4529016494750975,
+      "epoch": 4.047224523612262,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00037640687835004567,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.1925043895840645,
+      "num_tokens": 8905216.0,
+      "step": 4885
+    },
+    {
+      "entropy": 5.426698875427246,
+      "epoch": 4.051367025683513,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003761215157288692,
+      "loss": 4.9558,
+      "mean_token_accuracy": 0.19299548715353013,
+      "num_tokens": 8915493.0,
+      "step": 4890
+    },
+    {
+      "entropy": 5.362393617630005,
+      "epoch": 4.055509527754764,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00037583594913454514,
+      "loss": 4.925,
+      "mean_token_accuracy": 0.1959809884428978,
+      "num_tokens": 8924740.0,
+      "step": 4895
+    },
+    {
+      "entropy": 5.42564959526062,
+      "epoch": 4.059652029826015,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003755501791430925,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.18527257889509202,
+      "num_tokens": 8934726.0,
+      "step": 4900
+    },
+    {
+      "entropy": 5.448423719406128,
+      "epoch": 4.063794531897266,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00037526420633094044,
+      "loss": 4.9581,
+      "mean_token_accuracy": 0.18748125433921814,
+      "num_tokens": 8944301.0,
+      "step": 4905
+    },
+    {
+      "entropy": 5.449982643127441,
+      "epoch": 4.067937033968517,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037497803127492757,
+      "loss": 4.9881,
+      "mean_token_accuracy": 0.19187170565128325,
+      "num_tokens": 8953967.0,
+      "step": 4910
+    },
+    {
+      "entropy": 5.326543855667114,
+      "epoch": 4.072079536039768,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003746916545523001,
+      "loss": 4.8948,
+      "mean_token_accuracy": 0.19177066087722777,
+      "num_tokens": 8962983.0,
+      "step": 4915
+    },
+    {
+      "entropy": 5.381871175765991,
+      "epoch": 4.076222038111019,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003744050767407113,
+      "loss": 5.0191,
+      "mean_token_accuracy": 0.18154184073209761,
+      "num_tokens": 8972019.0,
+      "step": 4920
+    },
+    {
+      "entropy": 5.40556058883667,
+      "epoch": 4.08036454018227,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0003741182984182198,
+      "loss": 4.901,
+      "mean_token_accuracy": 0.20234887301921844,
+      "num_tokens": 8981751.0,
+      "step": 4925
+    },
+    {
+      "entropy": 5.3616517066955565,
+      "epoch": 4.084507042253521,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003738313201632889,
+      "loss": 4.8923,
+      "mean_token_accuracy": 0.19780989587306977,
+      "num_tokens": 8990330.0,
+      "step": 4930
+    },
+    {
+      "entropy": 5.314311408996582,
+      "epoch": 4.088649544324772,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003735441425547851,
+      "loss": 4.905,
+      "mean_token_accuracy": 0.19072338491678237,
+      "num_tokens": 8998366.0,
+      "step": 4935
+    },
+    {
+      "entropy": 5.290538501739502,
+      "epoch": 4.092792046396023,
+      "grad_norm": 1.828125,
+      "learning_rate": 0.00037325676617197697,
+      "loss": 4.8317,
+      "mean_token_accuracy": 0.20186650305986403,
+      "num_tokens": 9006881.0,
+      "step": 4940
+    },
+    {
+      "entropy": 5.323595571517944,
+      "epoch": 4.096934548467274,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0003729691915945342,
+      "loss": 4.8944,
+      "mean_token_accuracy": 0.19853760153055192,
+      "num_tokens": 9015415.0,
+      "step": 4945
+    },
+    {
+      "entropy": 5.40374059677124,
+      "epoch": 4.1010770505385254,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000372681419402526,
+      "loss": 4.9483,
+      "mean_token_accuracy": 0.19546929001808167,
+      "num_tokens": 9024578.0,
+      "step": 4950
+    },
+    {
+      "entropy": 5.381409311294556,
+      "epoch": 4.105219552609777,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003723934501764203,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.1867024227976799,
+      "num_tokens": 9032637.0,
+      "step": 4955
+    },
+    {
+      "entropy": 5.395318984985352,
+      "epoch": 4.109362054681028,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0003721052844970826,
+      "loss": 4.8913,
+      "mean_token_accuracy": 0.18718749284744263,
+      "num_tokens": 9041513.0,
+      "step": 4960
+    },
+    {
+      "entropy": 5.394489192962647,
+      "epoch": 4.113504556752279,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00037181692294577457,
+      "loss": 4.9155,
+      "mean_token_accuracy": 0.1854037255048752,
+      "num_tokens": 9051024.0,
+      "step": 4965
+    },
+    {
+      "entropy": 5.33848295211792,
+      "epoch": 4.117647058823529,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037152836610415284,
+      "loss": 4.8895,
+      "mean_token_accuracy": 0.19274405539035797,
+      "num_tokens": 9059494.0,
+      "step": 4970
+    },
+    {
+      "entropy": 5.31979193687439,
+      "epoch": 4.12178956089478,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00037123961455426836,
+      "loss": 4.7988,
+      "mean_token_accuracy": 0.19865831583738328,
+      "num_tokens": 9068166.0,
+      "step": 4975
+    },
+    {
+      "entropy": 5.391095542907715,
+      "epoch": 4.125932062966031,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00037095066887856434,
+      "loss": 4.907,
+      "mean_token_accuracy": 0.19333944320678711,
+      "num_tokens": 9077283.0,
+      "step": 4980
+    },
+    {
+      "entropy": 5.3755443572998045,
+      "epoch": 4.130074565037282,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003706615296598758,
+      "loss": 4.9332,
+      "mean_token_accuracy": 0.19493403136730195,
+      "num_tokens": 9086605.0,
+      "step": 4985
+    },
+    {
+      "entropy": 5.301020622253418,
+      "epoch": 4.134217067108533,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003703721974814282,
+      "loss": 4.9169,
+      "mean_token_accuracy": 0.19399153292179108,
+      "num_tokens": 9095567.0,
+      "step": 4990
+    },
+    {
+      "entropy": 5.282594537734985,
+      "epoch": 4.1383595691797845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00037008267292683615,
+      "loss": 4.9012,
+      "mean_token_accuracy": 0.19265301078557967,
+      "num_tokens": 9104457.0,
+      "step": 4995
+    },
+    {
+      "entropy": 5.398877716064453,
+      "epoch": 4.142502071251036,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036979295658010227,
+      "loss": 4.9533,
+      "mean_token_accuracy": 0.20162091553211212,
+      "num_tokens": 9113945.0,
+      "step": 5000
+    },
+    {
+      "epoch": 4.142502071251036,
+      "eval_entropy": 5.273210916946184,
+      "eval_loss": 5.83656120300293,
+      "eval_mean_token_accuracy": 0.15772452866281272,
+      "eval_num_tokens": 9113945.0,
+      "eval_runtime": 2.9415,
+      "eval_samples_per_second": 1273.844,
+      "eval_steps_per_second": 159.443,
+      "step": 5000
+    },
+    {
+      "entropy": 5.424594402313232,
+      "epoch": 4.146644573322287,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003695030490256161,
+      "loss": 5.0303,
+      "mean_token_accuracy": 0.18944208920001984,
+      "num_tokens": 9122996.0,
+      "step": 5005
+    },
+    {
+      "entropy": 5.355675983428955,
+      "epoch": 4.150787075393538,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000369212950848153,
+      "loss": 4.8793,
+      "mean_token_accuracy": 0.1962927296757698,
+      "num_tokens": 9132079.0,
+      "step": 5010
+    },
+    {
+      "entropy": 5.384340238571167,
+      "epoch": 4.154929577464789,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003689226626328725,
+      "loss": 5.0058,
+      "mean_token_accuracy": 0.19004727751016617,
+      "num_tokens": 9141335.0,
+      "step": 5015
+    },
+    {
+      "entropy": 5.442283582687378,
+      "epoch": 4.15907207953604,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00036863218496531767,
+      "loss": 5.0264,
+      "mean_token_accuracy": 0.18990386426448821,
+      "num_tokens": 9150049.0,
+      "step": 5020
+    },
+    {
+      "entropy": 5.409811115264892,
+      "epoch": 4.163214581607291,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003683415184314139,
+      "loss": 4.9057,
+      "mean_token_accuracy": 0.19072521328926087,
+      "num_tokens": 9159245.0,
+      "step": 5025
+    },
+    {
+      "entropy": 5.281745195388794,
+      "epoch": 4.167357083678542,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00036805066361746716,
+      "loss": 4.9432,
+      "mean_token_accuracy": 0.19057238101959229,
+      "num_tokens": 9167892.0,
+      "step": 5030
+    },
+    {
+      "entropy": 5.262811374664307,
+      "epoch": 4.1714995857497925,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036775962111016346,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.19675376862287522,
+      "num_tokens": 9176067.0,
+      "step": 5035
+    },
+    {
+      "entropy": 5.335107898712158,
+      "epoch": 4.175642087821044,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036746839149656734,
+      "loss": 4.9032,
+      "mean_token_accuracy": 0.19636716991662978,
+      "num_tokens": 9185318.0,
+      "step": 5040
+    },
+    {
+      "entropy": 5.338614749908447,
+      "epoch": 4.179784589892295,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003671769753641207,
+      "loss": 4.9605,
+      "mean_token_accuracy": 0.19530149400234223,
+      "num_tokens": 9194885.0,
+      "step": 5045
+    },
+    {
+      "entropy": 5.349650192260742,
+      "epoch": 4.183927091963546,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00036688537330064187,
+      "loss": 4.987,
+      "mean_token_accuracy": 0.19436514377593994,
+      "num_tokens": 9203906.0,
+      "step": 5050
+    },
+    {
+      "entropy": 5.318757629394531,
+      "epoch": 4.188069594034797,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000366593585894324,
+      "loss": 4.8507,
+      "mean_token_accuracy": 0.2013680413365364,
+      "num_tokens": 9213351.0,
+      "step": 5055
+    },
+    {
+      "entropy": 5.347932624816894,
+      "epoch": 4.192212096106048,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003663016137337341,
+      "loss": 4.9278,
+      "mean_token_accuracy": 0.18784158080816268,
+      "num_tokens": 9222191.0,
+      "step": 5060
+    },
+    {
+      "entropy": 5.372864198684693,
+      "epoch": 4.196354598177299,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00036600945740781197,
+      "loss": 4.9668,
+      "mean_token_accuracy": 0.1919815331697464,
+      "num_tokens": 9231517.0,
+      "step": 5065
+    },
+    {
+      "entropy": 5.393643712997436,
+      "epoch": 4.20049710024855,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036571711750586896,
+      "loss": 4.9891,
+      "mean_token_accuracy": 0.19960682690143586,
+      "num_tokens": 9241208.0,
+      "step": 5070
+    },
+    {
+      "entropy": 5.391959381103516,
+      "epoch": 4.204639602319801,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003654245946175864,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19324131309986115,
+      "num_tokens": 9250237.0,
+      "step": 5075
+    },
+    {
+      "entropy": 5.37893590927124,
+      "epoch": 4.2087821043910525,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00036513188933301504,
+      "loss": 5.0399,
+      "mean_token_accuracy": 0.18783097416162492,
+      "num_tokens": 9260273.0,
+      "step": 5080
+    },
+    {
+      "entropy": 5.378773164749146,
+      "epoch": 4.212924606462304,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003648390022425734,
+      "loss": 4.8996,
+      "mean_token_accuracy": 0.19140231609344482,
+      "num_tokens": 9268878.0,
+      "step": 5085
+    },
+    {
+      "entropy": 5.325588417053223,
+      "epoch": 4.217067108533554,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003645459339370468,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19706592857837676,
+      "num_tokens": 9276324.0,
+      "step": 5090
+    },
+    {
+      "entropy": 5.312953901290894,
+      "epoch": 4.221209610604805,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036425268500758594,
+      "loss": 4.9725,
+      "mean_token_accuracy": 0.1936806783080101,
+      "num_tokens": 9285052.0,
+      "step": 5095
+    },
+    {
+      "entropy": 5.354986000061035,
+      "epoch": 4.225352112676056,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036395925604570614,
+      "loss": 4.8763,
+      "mean_token_accuracy": 0.20042537599802018,
+      "num_tokens": 9293324.0,
+      "step": 5100
+    },
+    {
+      "entropy": 5.3900477409362795,
+      "epoch": 4.229494614747307,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003636656476432854,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19263672083616257,
+      "num_tokens": 9302131.0,
+      "step": 5105
+    },
+    {
+      "entropy": 5.263408470153808,
+      "epoch": 4.233637116818558,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003633718603925642,
+      "loss": 4.862,
+      "mean_token_accuracy": 0.19388986378908157,
+      "num_tokens": 9311128.0,
+      "step": 5110
+    },
+    {
+      "entropy": 5.420498418807983,
+      "epoch": 4.237779618889809,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0003630778948861434,
+      "loss": 4.9352,
+      "mean_token_accuracy": 0.1895424723625183,
+      "num_tokens": 9319849.0,
+      "step": 5115
+    },
+    {
+      "entropy": 5.336805248260498,
+      "epoch": 4.2419221209610605,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003627837517169836,
+      "loss": 4.9458,
+      "mean_token_accuracy": 0.18560263216495515,
+      "num_tokens": 9328355.0,
+      "step": 5120
+    },
+    {
+      "entropy": 5.352609777450562,
+      "epoch": 4.246064623032312,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003624894314784037,
+      "loss": 4.9236,
+      "mean_token_accuracy": 0.18928787410259246,
+      "num_tokens": 9337562.0,
+      "step": 5125
+    },
+    {
+      "entropy": 5.323793935775757,
+      "epoch": 4.250207125103563,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003621949347640797,
+      "loss": 4.9315,
+      "mean_token_accuracy": 0.196185165643692,
+      "num_tokens": 9347851.0,
+      "step": 5130
+    },
+    {
+      "entropy": 5.398552274703979,
+      "epoch": 4.254349627174814,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003619002621680439,
+      "loss": 4.9325,
+      "mean_token_accuracy": 0.19673411697149276,
+      "num_tokens": 9356524.0,
+      "step": 5135
+    },
+    {
+      "entropy": 5.4241108894348145,
+      "epoch": 4.258492129246065,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003616054142846829,
+      "loss": 5.0307,
+      "mean_token_accuracy": 0.1882170706987381,
+      "num_tokens": 9365521.0,
+      "step": 5140
+    },
+    {
+      "entropy": 5.301144218444824,
+      "epoch": 4.262634631317316,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003613103917087371,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19470559656620026,
+      "num_tokens": 9374088.0,
+      "step": 5145
+    },
+    {
+      "entropy": 5.345515966415405,
+      "epoch": 4.266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003610151950352994,
+      "loss": 4.9794,
+      "mean_token_accuracy": 0.19499585926532745,
+      "num_tokens": 9382683.0,
+      "step": 5150
+    },
+    {
+      "entropy": 5.306409788131714,
+      "epoch": 4.270919635459817,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0003607198248598137,
+      "loss": 4.9063,
+      "mean_token_accuracy": 0.194849793612957,
+      "num_tokens": 9391790.0,
+      "step": 5155
+    },
+    {
+      "entropy": 5.414876556396484,
+      "epoch": 4.2750621375310685,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003604242817780739,
+      "loss": 4.9901,
+      "mean_token_accuracy": 0.19321189671754838,
+      "num_tokens": 9400234.0,
+      "step": 5160
+    },
+    {
+      "entropy": 5.350374364852906,
+      "epoch": 4.27920463960232,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036012856638622273,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19192621409893035,
+      "num_tokens": 9409513.0,
+      "step": 5165
+    },
+    {
+      "entropy": 5.292260932922363,
+      "epoch": 4.283347141673571,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003598326792807504,
+      "loss": 4.9821,
+      "mean_token_accuracy": 0.18258902430534363,
+      "num_tokens": 9418608.0,
+      "step": 5170
+    },
+    {
+      "entropy": 5.427756977081299,
+      "epoch": 4.287489643744822,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00035953662105849357,
+      "loss": 5.0092,
+      "mean_token_accuracy": 0.19452760964632035,
+      "num_tokens": 9428705.0,
+      "step": 5175
+    },
+    {
+      "entropy": 5.3185462474823,
+      "epoch": 4.291632145816073,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000359240392316634,
+      "loss": 4.9177,
+      "mean_token_accuracy": 0.18542011678218842,
+      "num_tokens": 9438149.0,
+      "step": 5180
+    },
+    {
+      "entropy": 5.330511379241943,
+      "epoch": 4.295774647887324,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003589439936526974,
+      "loss": 4.8709,
+      "mean_token_accuracy": 0.19628295600414275,
+      "num_tokens": 9447566.0,
+      "step": 5185
+    },
+    {
+      "entropy": 5.303903436660766,
+      "epoch": 4.299917149958575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003586474256645525,
+      "loss": 4.9641,
+      "mean_token_accuracy": 0.1915314257144928,
+      "num_tokens": 9458156.0,
+      "step": 5190
+    },
+    {
+      "entropy": 5.410308837890625,
+      "epoch": 4.304059652029826,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035835068895040905,
+      "loss": 5.0014,
+      "mean_token_accuracy": 0.19137390553951264,
+      "num_tokens": 9467388.0,
+      "step": 5195
+    },
+    {
+      "entropy": 5.388073253631592,
+      "epoch": 4.308202154101077,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00035805378410881753,
+      "loss": 4.9642,
+      "mean_token_accuracy": 0.1940509021282196,
+      "num_tokens": 9477515.0,
+      "step": 5200
+    },
+    {
+      "entropy": 5.389194107055664,
+      "epoch": 4.312344656172328,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003577567117386675,
+      "loss": 4.9854,
+      "mean_token_accuracy": 0.1937498316168785,
+      "num_tokens": 9485851.0,
+      "step": 5205
+    },
+    {
+      "entropy": 5.377271747589111,
+      "epoch": 4.3164871582435795,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003574594724391863,
+      "loss": 4.9773,
+      "mean_token_accuracy": 0.18631901144981383,
+      "num_tokens": 9495523.0,
+      "step": 5210
+    },
+    {
+      "entropy": 5.303675985336303,
+      "epoch": 4.32062966031483,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003571620668099382,
+      "loss": 4.9104,
+      "mean_token_accuracy": 0.19740363359451293,
+      "num_tokens": 9504195.0,
+      "step": 5215
+    },
+    {
+      "entropy": 5.377063655853272,
+      "epoch": 4.324772162386081,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003568644954508227,
+      "loss": 4.9616,
+      "mean_token_accuracy": 0.1940310388803482,
+      "num_tokens": 9513313.0,
+      "step": 5220
+    },
+    {
+      "entropy": 5.400073862075805,
+      "epoch": 4.328914664457332,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003565667589620739,
+      "loss": 5.0313,
+      "mean_token_accuracy": 0.18615816980600358,
+      "num_tokens": 9522387.0,
+      "step": 5225
+    },
+    {
+      "entropy": 5.380652332305909,
+      "epoch": 4.333057166528583,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003562688579442588,
+      "loss": 4.9582,
+      "mean_token_accuracy": 0.1893748164176941,
+      "num_tokens": 9531522.0,
+      "step": 5230
+    },
+    {
+      "entropy": 5.349949216842651,
+      "epoch": 4.337199668599834,
+      "grad_norm": 1.6171875,
+      "learning_rate": 0.00035597079299827625,
+      "loss": 4.9875,
+      "mean_token_accuracy": 0.18508986830711366,
+      "num_tokens": 9540248.0,
+      "step": 5235
+    },
+    {
+      "entropy": 5.3083008289337155,
+      "epoch": 4.341342170671085,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035567256472535585,
+      "loss": 4.9192,
+      "mean_token_accuracy": 0.19538334757089615,
+      "num_tokens": 9549850.0,
+      "step": 5240
+    },
+    {
+      "entropy": 5.325525283813477,
+      "epoch": 4.345484672742336,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003553741737270566,
+      "loss": 4.9167,
+      "mean_token_accuracy": 0.19581695050001144,
+      "num_tokens": 9558929.0,
+      "step": 5245
+    },
+    {
+      "entropy": 5.291470670700074,
+      "epoch": 4.3496271748135875,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00035507562060526574,
+      "loss": 4.9163,
+      "mean_token_accuracy": 0.19085376411676408,
+      "num_tokens": 9567627.0,
+      "step": 5250
+    },
+    {
+      "entropy": 5.419774055480957,
+      "epoch": 4.353769676884839,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035477690596219763,
+      "loss": 5.0513,
+      "mean_token_accuracy": 0.18172826021909713,
+      "num_tokens": 9576223.0,
+      "step": 5255
+    },
+    {
+      "entropy": 5.422041416168213,
+      "epoch": 4.35791217895609,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00035447803040039225,
+      "loss": 5.0178,
+      "mean_token_accuracy": 0.1885324940085411,
+      "num_tokens": 9585510.0,
+      "step": 5260
+    },
+    {
+      "entropy": 5.344962453842163,
+      "epoch": 4.362054681027341,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003541789945227143,
+      "loss": 4.9361,
+      "mean_token_accuracy": 0.1920488640666008,
+      "num_tokens": 9594843.0,
+      "step": 5265
+    },
+    {
+      "entropy": 5.401527786254883,
+      "epoch": 4.366197183098592,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00035387979893235184,
+      "loss": 4.9467,
+      "mean_token_accuracy": 0.19816664457321168,
+      "num_tokens": 9604142.0,
+      "step": 5270
+    },
+    {
+      "entropy": 5.339557313919068,
+      "epoch": 4.370339685169842,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003535804442328151,
+      "loss": 4.994,
+      "mean_token_accuracy": 0.197935588657856,
+      "num_tokens": 9613669.0,
+      "step": 5275
+    },
+    {
+      "entropy": 5.395236444473267,
+      "epoch": 4.374482187241093,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00035328093102793506,
+      "loss": 4.9843,
+      "mean_token_accuracy": 0.19234263002872468,
+      "num_tokens": 9623502.0,
+      "step": 5280
+    },
+    {
+      "entropy": 5.377492380142212,
+      "epoch": 4.378624689312344,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035298125992186283,
+      "loss": 4.9784,
+      "mean_token_accuracy": 0.1910512089729309,
+      "num_tokens": 9632041.0,
+      "step": 5285
+    },
+    {
+      "entropy": 5.310422706604004,
+      "epoch": 4.3827671913835955,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00035268143151906764,
+      "loss": 4.9853,
+      "mean_token_accuracy": 0.18939480930566788,
+      "num_tokens": 9641442.0,
+      "step": 5290
+    },
+    {
+      "entropy": 5.356794643402099,
+      "epoch": 4.386909693454847,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00035238144642433616,
+      "loss": 4.956,
+      "mean_token_accuracy": 0.19045386761426925,
+      "num_tokens": 9650857.0,
+      "step": 5295
+    },
+    {
+      "entropy": 5.461606073379516,
+      "epoch": 4.391052195526098,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000352081305242771,
+      "loss": 4.9906,
+      "mean_token_accuracy": 0.1938766911625862,
+      "num_tokens": 9659173.0,
+      "step": 5300
+    },
+    {
+      "entropy": 5.355851411819458,
+      "epoch": 4.395194697597349,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035178100857978994,
+      "loss": 4.9344,
+      "mean_token_accuracy": 0.19574909955263137,
+      "num_tokens": 9668114.0,
+      "step": 5305
+    },
+    {
+      "entropy": 5.261717939376831,
+      "epoch": 4.3993371996686,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00035148055704112405,
+      "loss": 4.9927,
+      "mean_token_accuracy": 0.1930756837129593,
+      "num_tokens": 9676628.0,
+      "step": 5310
+    },
+    {
+      "entropy": 5.305881071090698,
+      "epoch": 4.403479701739851,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003511799512328168,
+      "loss": 4.8897,
+      "mean_token_accuracy": 0.19723279178142547,
+      "num_tokens": 9685801.0,
+      "step": 5315
+    },
+    {
+      "entropy": 5.3678816795349125,
+      "epoch": 4.407622203811102,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003508791917612232,
+      "loss": 4.9677,
+      "mean_token_accuracy": 0.18847441226243972,
+      "num_tokens": 9694237.0,
+      "step": 5320
+    },
+    {
+      "entropy": 5.357159948348999,
+      "epoch": 4.411764705882353,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00035057827923300785,
+      "loss": 4.887,
+      "mean_token_accuracy": 0.1993523895740509,
+      "num_tokens": 9701904.0,
+      "step": 5325
+    },
+    {
+      "entropy": 5.308569765090942,
+      "epoch": 4.415907207953604,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035027721425514414,
+      "loss": 4.8661,
+      "mean_token_accuracy": 0.20139306634664536,
+      "num_tokens": 9710784.0,
+      "step": 5330
+    },
+    {
+      "entropy": 5.310255718231201,
+      "epoch": 4.4200497100248555,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003499759974349131,
+      "loss": 4.9969,
+      "mean_token_accuracy": 0.19186950027942656,
+      "num_tokens": 9720452.0,
+      "step": 5335
+    },
+    {
+      "entropy": 5.335639381408692,
+      "epoch": 4.424192212096106,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00034967462937990194,
+      "loss": 4.9619,
+      "mean_token_accuracy": 0.18502581119537354,
+      "num_tokens": 9729122.0,
+      "step": 5340
+    },
+    {
+      "entropy": 5.414971780776978,
+      "epoch": 4.428334714167357,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000349373110698003,
+      "loss": 5.0216,
+      "mean_token_accuracy": 0.18420466929674148,
+      "num_tokens": 9738756.0,
+      "step": 5345
+    },
+    {
+      "entropy": 5.406450796127319,
+      "epoch": 4.432477216238608,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003490714419974124,
+      "loss": 5.0113,
+      "mean_token_accuracy": 0.1904602199792862,
+      "num_tokens": 9748547.0,
+      "step": 5350
+    },
+    {
+      "entropy": 5.358873558044434,
+      "epoch": 4.436619718309859,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034876962388662885,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.18162461519241332,
+      "num_tokens": 9758421.0,
+      "step": 5355
+    },
+    {
+      "entropy": 5.277571201324463,
+      "epoch": 4.44076222038111,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003484676569744525,
+      "loss": 4.8563,
+      "mean_token_accuracy": 0.19333565086126328,
+      "num_tokens": 9766855.0,
+      "step": 5360
+    },
+    {
+      "entropy": 5.348770189285278,
+      "epoch": 4.444904722452361,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003481655418699836,
+      "loss": 4.9589,
+      "mean_token_accuracy": 0.1960444375872612,
+      "num_tokens": 9776157.0,
+      "step": 5365
+    },
+    {
+      "entropy": 5.279411029815674,
+      "epoch": 4.449047224523612,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00034786327918262126,
+      "loss": 4.8489,
+      "mean_token_accuracy": 0.2087496116757393,
+      "num_tokens": 9784386.0,
+      "step": 5370
+    },
+    {
+      "entropy": 5.354473733901978,
+      "epoch": 4.4531897265948635,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00034756086952206255,
+      "loss": 4.9009,
+      "mean_token_accuracy": 0.1958460658788681,
+      "num_tokens": 9793838.0,
+      "step": 5375
+    },
+    {
+      "entropy": 5.353402185440063,
+      "epoch": 4.457332228666115,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003472583134983005,
+      "loss": 4.9971,
+      "mean_token_accuracy": 0.19221619367599488,
+      "num_tokens": 9802595.0,
+      "step": 5380
+    },
+    {
+      "entropy": 5.384884357452393,
+      "epoch": 4.461474730737366,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00034695561172162396,
+      "loss": 4.9775,
+      "mean_token_accuracy": 0.19024742841720582,
+      "num_tokens": 9811309.0,
+      "step": 5385
+    },
+    {
+      "entropy": 5.2829090595245365,
+      "epoch": 4.465617232808617,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00034665276480261526,
+      "loss": 4.9139,
+      "mean_token_accuracy": 0.1915873184800148,
+      "num_tokens": 9820327.0,
+      "step": 5390
+    },
+    {
+      "entropy": 5.351649951934815,
+      "epoch": 4.469759734879867,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003463497733521499,
+      "loss": 4.9852,
+      "mean_token_accuracy": 0.18354866653680801,
+      "num_tokens": 9829588.0,
+      "step": 5395
+    },
+    {
+      "entropy": 5.42580213546753,
+      "epoch": 4.473902236951118,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003460466379813947,
+      "loss": 4.9887,
+      "mean_token_accuracy": 0.18973219394683838,
+      "num_tokens": 9838548.0,
+      "step": 5400
+    },
+    {
+      "entropy": 5.335280847549439,
+      "epoch": 4.478044739022369,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003457433593018068,
+      "loss": 5.0018,
+      "mean_token_accuracy": 0.18838239908218385,
+      "num_tokens": 9847925.0,
+      "step": 5405
+    },
+    {
+      "entropy": 5.396121597290039,
+      "epoch": 4.48218724109362,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034543993792513243,
+      "loss": 5.0169,
+      "mean_token_accuracy": 0.18753209412097932,
+      "num_tokens": 9856839.0,
+      "step": 5410
+    },
+    {
+      "entropy": 5.37349534034729,
+      "epoch": 4.486329743164871,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003451363744634057,
+      "loss": 4.978,
+      "mean_token_accuracy": 0.19382779747247697,
+      "num_tokens": 9866519.0,
+      "step": 5415
+    },
+    {
+      "entropy": 5.430073976516724,
+      "epoch": 4.4904722452361225,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00034483266952894725,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.19110478311777115,
+      "num_tokens": 9876866.0,
+      "step": 5420
+    },
+    {
+      "entropy": 5.440963220596314,
+      "epoch": 4.494614747307374,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0003445288237343632,
+      "loss": 5.0042,
+      "mean_token_accuracy": 0.1870105817914009,
+      "num_tokens": 9884639.0,
+      "step": 5425
+    },
+    {
+      "entropy": 5.332541465759277,
+      "epoch": 4.498757249378625,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003442248376925436,
+      "loss": 4.9715,
+      "mean_token_accuracy": 0.1879585549235344,
+      "num_tokens": 9893819.0,
+      "step": 5430
+    },
+    {
+      "entropy": 5.251445341110229,
+      "epoch": 4.502899751449876,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00034392071201666167,
+      "loss": 4.9164,
+      "mean_token_accuracy": 0.19130610078573226,
+      "num_tokens": 9902419.0,
+      "step": 5435
+    },
+    {
+      "entropy": 5.390727472305298,
+      "epoch": 4.507042253521127,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000343616447320172,
+      "loss": 4.9565,
+      "mean_token_accuracy": 0.19780462980270386,
+      "num_tokens": 9912434.0,
+      "step": 5440
+    },
+    {
+      "entropy": 5.366470289230347,
+      "epoch": 4.511184755592378,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003433120442168097,
+      "loss": 4.9114,
+      "mean_token_accuracy": 0.193550705909729,
+      "num_tokens": 9921800.0,
+      "step": 5445
+    },
+    {
+      "entropy": 5.316132354736328,
+      "epoch": 4.515327257663629,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034300750332058924,
+      "loss": 4.9803,
+      "mean_token_accuracy": 0.18861733824014665,
+      "num_tokens": 9930863.0,
+      "step": 5450
+    },
+    {
+      "entropy": 5.340768337249756,
+      "epoch": 4.51946975973488,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003427028252458028,
+      "loss": 4.995,
+      "mean_token_accuracy": 0.1959969326853752,
+      "num_tokens": 9940524.0,
+      "step": 5455
+    },
+    {
+      "entropy": 5.398335361480713,
+      "epoch": 4.5236122618061305,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.0003423980106070194,
+      "loss": 4.98,
+      "mean_token_accuracy": 0.18993111699819565,
+      "num_tokens": 9948949.0,
+      "step": 5460
+    },
+    {
+      "entropy": 5.363409519195557,
+      "epoch": 4.527754763877382,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003420930600190834,
+      "loss": 5.0007,
+      "mean_token_accuracy": 0.18487946093082427,
+      "num_tokens": 9958154.0,
+      "step": 5465
+    },
+    {
+      "entropy": 5.353360748291015,
+      "epoch": 4.531897265948633,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003417879740971135,
+      "loss": 4.8917,
+      "mean_token_accuracy": 0.19643958359956742,
+      "num_tokens": 9967023.0,
+      "step": 5470
+    },
+    {
+      "entropy": 5.392623519897461,
+      "epoch": 4.536039768019884,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003414827534565014,
+      "loss": 4.9908,
+      "mean_token_accuracy": 0.18982938379049302,
+      "num_tokens": 9976596.0,
+      "step": 5475
+    },
+    {
+      "entropy": 5.358148193359375,
+      "epoch": 4.540182270091135,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00034117739871291036,
+      "loss": 4.8992,
+      "mean_token_accuracy": 0.19934887886047364,
+      "num_tokens": 9985330.0,
+      "step": 5480
+    },
+    {
+      "entropy": 5.35659613609314,
+      "epoch": 4.544324772162386,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00034087191048227445,
+      "loss": 5.032,
+      "mean_token_accuracy": 0.1861831620335579,
+      "num_tokens": 9996053.0,
+      "step": 5485
+    },
+    {
+      "entropy": 5.335864496231079,
+      "epoch": 4.548467274233637,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003405662893807967,
+      "loss": 4.9445,
+      "mean_token_accuracy": 0.1877502605319023,
+      "num_tokens": 10005517.0,
+      "step": 5490
+    },
+    {
+      "entropy": 5.389253044128418,
+      "epoch": 4.552609776304888,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003402605360249482,
+      "loss": 5.0416,
+      "mean_token_accuracy": 0.18830080330371857,
+      "num_tokens": 10014354.0,
+      "step": 5495
+    },
+    {
+      "entropy": 5.3128773212432865,
+      "epoch": 4.556752278376139,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000339954651031467,
+      "loss": 4.9238,
+      "mean_token_accuracy": 0.19178629368543626,
+      "num_tokens": 10023194.0,
+      "step": 5500
+    },
+    {
+      "epoch": 4.556752278376139,
+      "eval_entropy": 5.195640559898003,
+      "eval_loss": 5.80400276184082,
+      "eval_mean_token_accuracy": 0.15982486544323882,
+      "eval_num_tokens": 10023194.0,
+      "eval_runtime": 2.7416,
+      "eval_samples_per_second": 1366.696,
+      "eval_steps_per_second": 171.065,
+      "step": 5500
+    },
+    {
+      "entropy": 5.267048501968384,
+      "epoch": 4.5608947804473905,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00033964863501735647,
+      "loss": 4.9188,
+      "mean_token_accuracy": 0.19228280782699586,
+      "num_tokens": 10032490.0,
+      "step": 5505
+    },
+    {
+      "entropy": 5.392655229568481,
+      "epoch": 4.565037282518642,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00033934248859988453,
+      "loss": 4.9346,
+      "mean_token_accuracy": 0.19580908715724946,
+      "num_tokens": 10041613.0,
+      "step": 5510
+    },
+    {
+      "entropy": 5.262086534500122,
+      "epoch": 4.569179784589892,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003390362123965817,
+      "loss": 4.8733,
+      "mean_token_accuracy": 0.1911102056503296,
+      "num_tokens": 10050500.0,
+      "step": 5515
+    },
+    {
+      "entropy": 5.36342945098877,
+      "epoch": 4.573322286661144,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003387298070252407,
+      "loss": 4.9492,
+      "mean_token_accuracy": 0.1935834139585495,
+      "num_tokens": 10059650.0,
+      "step": 5520
+    },
+    {
+      "entropy": 5.337366104125977,
+      "epoch": 4.577464788732394,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003384232731039146,
+      "loss": 4.9844,
+      "mean_token_accuracy": 0.19709572941064835,
+      "num_tokens": 10067882.0,
+      "step": 5525
+    },
+    {
+      "entropy": 5.300627326965332,
+      "epoch": 4.581607290803645,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00033811661125091584,
+      "loss": 4.9253,
+      "mean_token_accuracy": 0.19670316576957703,
+      "num_tokens": 10077147.0,
+      "step": 5530
+    },
+    {
+      "entropy": 5.369974613189697,
+      "epoch": 4.585749792874896,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00033780982208481494,
+      "loss": 4.9829,
+      "mean_token_accuracy": 0.1897311642765999,
+      "num_tokens": 10086149.0,
+      "step": 5535
+    },
+    {
+      "entropy": 5.303711175918579,
+      "epoch": 4.589892294946147,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003375029062244392,
+      "loss": 4.9027,
+      "mean_token_accuracy": 0.20062701553106307,
+      "num_tokens": 10094997.0,
+      "step": 5540
+    },
+    {
+      "entropy": 5.461194086074829,
+      "epoch": 4.5940347970173985,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00033719586428887125,
+      "loss": 4.9635,
+      "mean_token_accuracy": 0.19236611425876618,
+      "num_tokens": 10103585.0,
+      "step": 5545
+    },
+    {
+      "entropy": 5.276572418212891,
+      "epoch": 4.59817729908865,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00033688869689744836,
+      "loss": 4.8715,
+      "mean_token_accuracy": 0.1956779330968857,
+      "num_tokens": 10113877.0,
+      "step": 5550
+    },
+    {
+      "entropy": 5.333914184570313,
+      "epoch": 4.602319801159901,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003365814046697608,
+      "loss": 4.9676,
+      "mean_token_accuracy": 0.1832288920879364,
+      "num_tokens": 10123127.0,
+      "step": 5555
+    },
+    {
+      "entropy": 5.39079098701477,
+      "epoch": 4.606462303231152,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003362739882256504,
+      "loss": 5.0347,
+      "mean_token_accuracy": 0.186669659614563,
+      "num_tokens": 10132301.0,
+      "step": 5560
+    },
+    {
+      "entropy": 5.369095230102539,
+      "epoch": 4.610604805302403,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0003359664481852099,
+      "loss": 5.0411,
+      "mean_token_accuracy": 0.18307175636291503,
+      "num_tokens": 10140985.0,
+      "step": 5565
+    },
+    {
+      "entropy": 5.309534072875977,
+      "epoch": 4.614747307373654,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00033565878516878103,
+      "loss": 4.9435,
+      "mean_token_accuracy": 0.186006298661232,
+      "num_tokens": 10149668.0,
+      "step": 5570
+    },
+    {
+      "entropy": 5.324404716491699,
+      "epoch": 4.618889809444905,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0003353509997969537,
+      "loss": 4.9982,
+      "mean_token_accuracy": 0.1883559986948967,
+      "num_tokens": 10158584.0,
+      "step": 5575
+    },
+    {
+      "entropy": 5.366722822189331,
+      "epoch": 4.623032311516155,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00033504309269056484,
+      "loss": 4.968,
+      "mean_token_accuracy": 0.19045166224241256,
+      "num_tokens": 10167657.0,
+      "step": 5580
+    },
+    {
+      "entropy": 5.274179601669312,
+      "epoch": 4.6271748135874065,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003347350644706965,
+      "loss": 4.8462,
+      "mean_token_accuracy": 0.1975993499159813,
+      "num_tokens": 10176657.0,
+      "step": 5585
+    },
+    {
+      "entropy": 5.3866353034973145,
+      "epoch": 4.631317315658658,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003344269157586754,
+      "loss": 4.9669,
+      "mean_token_accuracy": 0.19621438384056092,
+      "num_tokens": 10185132.0,
+      "step": 5590
+    },
+    {
+      "entropy": 5.304204607009888,
+      "epoch": 4.635459817729909,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00033411864717607114,
+      "loss": 4.8497,
+      "mean_token_accuracy": 0.19386404007673264,
+      "num_tokens": 10193428.0,
+      "step": 5595
+    },
+    {
+      "entropy": 5.324200677871704,
+      "epoch": 4.63960231980116,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0003338102593446951,
+      "loss": 5.0163,
+      "mean_token_accuracy": 0.18838184028863908,
+      "num_tokens": 10202549.0,
+      "step": 5600
+    },
+    {
+      "entropy": 5.341615533828735,
+      "epoch": 4.643744821872411,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00033350175288659925,
+      "loss": 4.8885,
+      "mean_token_accuracy": 0.1946927636861801,
+      "num_tokens": 10211161.0,
+      "step": 5605
+    },
+    {
+      "entropy": 5.309947538375854,
+      "epoch": 4.647887323943662,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00033319312842407483,
+      "loss": 4.9923,
+      "mean_token_accuracy": 0.18832400739192962,
+      "num_tokens": 10220988.0,
+      "step": 5610
+    },
+    {
+      "entropy": 5.2807288646698,
+      "epoch": 4.652029826014913,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003328843865796511,
+      "loss": 4.8873,
+      "mean_token_accuracy": 0.19748056083917617,
+      "num_tokens": 10229383.0,
+      "step": 5615
+    },
+    {
+      "entropy": 5.421126461029052,
+      "epoch": 4.656172328086164,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033257552797609426,
+      "loss": 4.9686,
+      "mean_token_accuracy": 0.18525946289300918,
+      "num_tokens": 10238622.0,
+      "step": 5620
+    },
+    {
+      "entropy": 5.506065034866333,
+      "epoch": 4.660314830157415,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00033226655323640553,
+      "loss": 5.0677,
+      "mean_token_accuracy": 0.18611674308776854,
+      "num_tokens": 10248201.0,
+      "step": 5625
+    },
+    {
+      "entropy": 5.445924186706543,
+      "epoch": 4.664457332228666,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000331957462983821,
+      "loss": 5.0837,
+      "mean_token_accuracy": 0.17612475752830506,
+      "num_tokens": 10258239.0,
+      "step": 5630
+    },
+    {
+      "entropy": 5.377671623229981,
+      "epoch": 4.668599834299917,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0003316482578418094,
+      "loss": 4.9675,
+      "mean_token_accuracy": 0.1935265153646469,
+      "num_tokens": 10266915.0,
+      "step": 5635
+    },
+    {
+      "entropy": 5.348722076416015,
+      "epoch": 4.672742336371169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00033133893843407126,
+      "loss": 5.0783,
+      "mean_token_accuracy": 0.18859633952379226,
+      "num_tokens": 10276826.0,
+      "step": 5640
+    },
+    {
+      "entropy": 5.327623510360718,
+      "epoch": 4.676884838442419,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00033102950538453776,
+      "loss": 4.9912,
+      "mean_token_accuracy": 0.19163501411676406,
+      "num_tokens": 10286041.0,
+      "step": 5645
+    },
+    {
+      "entropy": 5.367205619812012,
+      "epoch": 4.68102734051367,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00033071995931736897,
+      "loss": 5.0151,
+      "mean_token_accuracy": 0.19023409783840178,
+      "num_tokens": 10295258.0,
+      "step": 5650
+    },
+    {
+      "entropy": 5.404719638824463,
+      "epoch": 4.685169842584921,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00033041030085695323,
+      "loss": 4.9423,
+      "mean_token_accuracy": 0.19237637221813203,
+      "num_tokens": 10304726.0,
+      "step": 5655
+    },
+    {
+      "entropy": 5.34141435623169,
+      "epoch": 4.689312344656172,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003301005306279055,
+      "loss": 4.8745,
+      "mean_token_accuracy": 0.2018929526209831,
+      "num_tokens": 10312912.0,
+      "step": 5660
+    },
+    {
+      "entropy": 5.300086307525635,
+      "epoch": 4.693454846727423,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00032979064925506627,
+      "loss": 4.9743,
+      "mean_token_accuracy": 0.18896473944187164,
+      "num_tokens": 10322046.0,
+      "step": 5665
+    },
+    {
+      "entropy": 5.290521335601807,
+      "epoch": 4.697597348798674,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003294806573634999,
+      "loss": 4.9263,
+      "mean_token_accuracy": 0.206088125705719,
+      "num_tokens": 10331375.0,
+      "step": 5670
+    },
+    {
+      "entropy": 5.353716802597046,
+      "epoch": 4.7017398508699255,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003291705555784942,
+      "loss": 5.0624,
+      "mean_token_accuracy": 0.18850265592336654,
+      "num_tokens": 10341465.0,
+      "step": 5675
+    },
+    {
+      "entropy": 5.466339874267578,
+      "epoch": 4.705882352941177,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00032886034452555814,
+      "loss": 5.052,
+      "mean_token_accuracy": 0.18991907685995102,
+      "num_tokens": 10350137.0,
+      "step": 5680
+    },
+    {
+      "entropy": 5.3118266582489015,
+      "epoch": 4.710024855012428,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003285500248304214,
+      "loss": 4.9502,
+      "mean_token_accuracy": 0.1877942368388176,
+      "num_tokens": 10358666.0,
+      "step": 5685
+    },
+    {
+      "entropy": 5.319189500808716,
+      "epoch": 4.714167357083679,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003282395971190328,
+      "loss": 4.8375,
+      "mean_token_accuracy": 0.19829211980104447,
+      "num_tokens": 10366910.0,
+      "step": 5690
+    },
+    {
+      "entropy": 5.377291250228882,
+      "epoch": 4.71830985915493,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032792906201755876,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19080002307891847,
+      "num_tokens": 10376435.0,
+      "step": 5695
+    },
+    {
+      "entropy": 5.293179368972778,
+      "epoch": 4.72245236122618,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00032761842015238256,
+      "loss": 4.8965,
+      "mean_token_accuracy": 0.2024861231446266,
+      "num_tokens": 10384670.0,
+      "step": 5700
+    },
+    {
+      "entropy": 5.261117172241211,
+      "epoch": 4.726594863297431,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003273076721501029,
+      "loss": 4.8845,
+      "mean_token_accuracy": 0.1939824104309082,
+      "num_tokens": 10393731.0,
+      "step": 5705
+    },
+    {
+      "entropy": 5.386179351806641,
+      "epoch": 4.730737365368682,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003269968186375325,
+      "loss": 4.9916,
+      "mean_token_accuracy": 0.19829274713993073,
+      "num_tokens": 10402369.0,
+      "step": 5710
+    },
+    {
+      "entropy": 5.379951667785645,
+      "epoch": 4.7348798674399335,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003266858602416967,
+      "loss": 4.9801,
+      "mean_token_accuracy": 0.1936841771006584,
+      "num_tokens": 10411566.0,
+      "step": 5715
+    },
+    {
+      "entropy": 5.384341192245484,
+      "epoch": 4.739022369511185,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032637479758983255,
+      "loss": 5.0294,
+      "mean_token_accuracy": 0.18491634279489516,
+      "num_tokens": 10420086.0,
+      "step": 5720
+    },
+    {
+      "entropy": 5.409085655212403,
+      "epoch": 4.743164871582436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00032606363130938766,
+      "loss": 5.0704,
+      "mean_token_accuracy": 0.18897949457168578,
+      "num_tokens": 10429746.0,
+      "step": 5725
+    },
+    {
+      "entropy": 5.349277639389038,
+      "epoch": 4.747307373653687,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0003257523620280181,
+      "loss": 4.9498,
+      "mean_token_accuracy": 0.19129680693149567,
+      "num_tokens": 10438536.0,
+      "step": 5730
+    },
+    {
+      "entropy": 5.348873805999756,
+      "epoch": 4.751449875724938,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00032544099037358834,
+      "loss": 4.9497,
+      "mean_token_accuracy": 0.19692206382751465,
+      "num_tokens": 10447471.0,
+      "step": 5735
+    },
+    {
+      "entropy": 5.33362455368042,
+      "epoch": 4.755592377796189,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003251295169741688,
+      "loss": 4.962,
+      "mean_token_accuracy": 0.1995266228914261,
+      "num_tokens": 10457179.0,
+      "step": 5740
+    },
+    {
+      "entropy": 5.327010250091552,
+      "epoch": 4.75973487986744,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00032481794245803536,
+      "loss": 5.0295,
+      "mean_token_accuracy": 0.18461760133504868,
+      "num_tokens": 10466291.0,
+      "step": 5745
+    },
+    {
+      "entropy": 5.323912620544434,
+      "epoch": 4.763877381938691,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00032450626745366806,
+      "loss": 4.9102,
+      "mean_token_accuracy": 0.19402227252721788,
+      "num_tokens": 10475452.0,
+      "step": 5750
+    },
+    {
+      "entropy": 5.306818199157715,
+      "epoch": 4.768019884009942,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00032419449258974924,
+      "loss": 4.8753,
+      "mean_token_accuracy": 0.20045212656259537,
+      "num_tokens": 10484381.0,
+      "step": 5755
+    },
+    {
+      "entropy": 5.342190933227539,
+      "epoch": 4.7721623860811935,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000323882618495163,
+      "loss": 5.0665,
+      "mean_token_accuracy": 0.1831491023302078,
+      "num_tokens": 10495132.0,
+      "step": 5760
+    },
+    {
+      "entropy": 5.351349258422852,
+      "epoch": 4.776304888152444,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003235706457989934,
+      "loss": 5.0246,
+      "mean_token_accuracy": 0.1850237250328064,
+      "num_tokens": 10504519.0,
+      "step": 5765
+    },
+    {
+      "entropy": 5.387107896804809,
+      "epoch": 4.780447390223695,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032325857513052354,
+      "loss": 4.9654,
+      "mean_token_accuracy": 0.19212980419397355,
+      "num_tokens": 10513575.0,
+      "step": 5770
+    },
+    {
+      "entropy": 5.396086692810059,
+      "epoch": 4.784589892294946,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000322946407119234,
+      "loss": 5.0554,
+      "mean_token_accuracy": 0.18998173326253892,
+      "num_tokens": 10522148.0,
+      "step": 5775
+    },
+    {
+      "entropy": 5.361077404022216,
+      "epoch": 4.788732394366197,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032263414239480187,
+      "loss": 4.9891,
+      "mean_token_accuracy": 0.18589809089899062,
+      "num_tokens": 10531183.0,
+      "step": 5780
+    },
+    {
+      "entropy": 5.342947483062744,
+      "epoch": 4.792874896437448,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.000322321781587099,
+      "loss": 4.9298,
+      "mean_token_accuracy": 0.19391343146562576,
+      "num_tokens": 10540677.0,
+      "step": 5785
+    },
+    {
+      "entropy": 5.276329088211059,
+      "epoch": 4.797017398508699,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003220093253261915,
+      "loss": 4.9342,
+      "mean_token_accuracy": 0.18589555770158767,
+      "num_tokens": 10550009.0,
+      "step": 5790
+    },
+    {
+      "entropy": 5.315787076950073,
+      "epoch": 4.80115990057995,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003216967742423377,
+      "loss": 4.9621,
+      "mean_token_accuracy": 0.19312297254800798,
+      "num_tokens": 10559694.0,
+      "step": 5795
+    },
+    {
+      "entropy": 5.339448022842407,
+      "epoch": 4.8053024026512015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003213841289659872,
+      "loss": 4.9613,
+      "mean_token_accuracy": 0.20080769211053848,
+      "num_tokens": 10567965.0,
+      "step": 5800
+    },
+    {
+      "entropy": 5.312955284118653,
+      "epoch": 4.809444904722453,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003210713901277799,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.19690640568733214,
+      "num_tokens": 10577653.0,
+      "step": 5805
+    },
+    {
+      "entropy": 5.359428977966308,
+      "epoch": 4.813587406793704,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000320758558358544,
+      "loss": 4.9728,
+      "mean_token_accuracy": 0.18951950818300248,
+      "num_tokens": 10586903.0,
+      "step": 5810
+    },
+    {
+      "entropy": 5.302858638763428,
+      "epoch": 4.817729908864955,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003204456342892955,
+      "loss": 4.8829,
+      "mean_token_accuracy": 0.19500194638967513,
+      "num_tokens": 10595411.0,
+      "step": 5815
+    },
+    {
+      "entropy": 5.321697616577149,
+      "epoch": 4.821872410936205,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00032013261855123637,
+      "loss": 4.9475,
+      "mean_token_accuracy": 0.1907385230064392,
+      "num_tokens": 10604147.0,
+      "step": 5820
+    },
+    {
+      "entropy": 5.368891286849975,
+      "epoch": 4.826014913007457,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00031981951177575366,
+      "loss": 5.0445,
+      "mean_token_accuracy": 0.1850367307662964,
+      "num_tokens": 10614048.0,
+      "step": 5825
+    },
+    {
+      "entropy": 5.374803781509399,
+      "epoch": 4.830157415078707,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003195063145944178,
+      "loss": 5.0779,
+      "mean_token_accuracy": 0.18388603180646895,
+      "num_tokens": 10623399.0,
+      "step": 5830
+    },
+    {
+      "entropy": 5.389354228973389,
+      "epoch": 4.834299917149958,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003191930276389819,
+      "loss": 4.9183,
+      "mean_token_accuracy": 0.19506800919771194,
+      "num_tokens": 10632627.0,
+      "step": 5835
+    },
+    {
+      "entropy": 5.401239061355591,
+      "epoch": 4.838442419221209,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00031887965154137987,
+      "loss": 4.9726,
+      "mean_token_accuracy": 0.1816769301891327,
+      "num_tokens": 10641155.0,
+      "step": 5840
+    },
+    {
+      "entropy": 5.354168939590454,
+      "epoch": 4.8425849212924605,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003185661869337255,
+      "loss": 5.0118,
+      "mean_token_accuracy": 0.18452974855899812,
+      "num_tokens": 10649661.0,
+      "step": 5845
+    },
+    {
+      "entropy": 5.265790605545044,
+      "epoch": 4.846727423363712,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00031825263444831137,
+      "loss": 4.9151,
+      "mean_token_accuracy": 0.19235364347696304,
+      "num_tokens": 10658652.0,
+      "step": 5850
+    },
+    {
+      "entropy": 5.3790277481079105,
+      "epoch": 4.850869925434963,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003179389947176069,
+      "loss": 5.0445,
+      "mean_token_accuracy": 0.1886226385831833,
+      "num_tokens": 10668703.0,
+      "step": 5855
+    },
+    {
+      "entropy": 5.385872554779053,
+      "epoch": 4.855012427506214,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003176252683742578,
+      "loss": 4.9484,
+      "mean_token_accuracy": 0.19056980460882186,
+      "num_tokens": 10677740.0,
+      "step": 5860
+    },
+    {
+      "entropy": 5.347926044464112,
+      "epoch": 4.859154929577465,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003173114560510843,
+      "loss": 4.9447,
+      "mean_token_accuracy": 0.18929830342531204,
+      "num_tokens": 10686429.0,
+      "step": 5865
+    },
+    {
+      "entropy": 5.332098054885864,
+      "epoch": 4.863297431648716,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00031699755838108027,
+      "loss": 5.0442,
+      "mean_token_accuracy": 0.1941297546029091,
+      "num_tokens": 10696367.0,
+      "step": 5870
+    },
+    {
+      "entropy": 5.310936546325683,
+      "epoch": 4.867439933719967,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003166835759974115,
+      "loss": 4.9902,
+      "mean_token_accuracy": 0.1873769447207451,
+      "num_tokens": 10705712.0,
+      "step": 5875
+    },
+    {
+      "entropy": 5.371630382537842,
+      "epoch": 4.871582435791218,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031636950953341486,
+      "loss": 5.0345,
+      "mean_token_accuracy": 0.18638068735599517,
+      "num_tokens": 10715897.0,
+      "step": 5880
+    },
+    {
+      "entropy": 5.3334348678588865,
+      "epoch": 4.8757249378624685,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00031605535962259666,
+      "loss": 4.9268,
+      "mean_token_accuracy": 0.1887778237462044,
+      "num_tokens": 10724810.0,
+      "step": 5885
+    },
+    {
+      "entropy": 5.353308916091919,
+      "epoch": 4.87986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003157411268986316,
+      "loss": 4.9771,
+      "mean_token_accuracy": 0.1932398796081543,
+      "num_tokens": 10734661.0,
+      "step": 5890
+    },
+    {
+      "entropy": 5.287876415252685,
+      "epoch": 4.884009942004971,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003154268119953615,
+      "loss": 4.9586,
+      "mean_token_accuracy": 0.19356854259967804,
+      "num_tokens": 10743642.0,
+      "step": 5895
+    },
+    {
+      "entropy": 5.344345998764038,
+      "epoch": 4.888152444076222,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003151124155467938,
+      "loss": 4.9607,
+      "mean_token_accuracy": 0.19625648856163025,
+      "num_tokens": 10752812.0,
+      "step": 5900
+    },
+    {
+      "entropy": 5.3407337188720705,
+      "epoch": 4.892294946147473,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00031479793818710056,
+      "loss": 4.9983,
+      "mean_token_accuracy": 0.18306475579738618,
+      "num_tokens": 10762117.0,
+      "step": 5905
+    },
+    {
+      "entropy": 5.299752902984619,
+      "epoch": 4.896437448218724,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031448338055061685,
+      "loss": 4.9018,
+      "mean_token_accuracy": 0.19901909530162812,
+      "num_tokens": 10771515.0,
+      "step": 5910
+    },
+    {
+      "entropy": 5.309285831451416,
+      "epoch": 4.900579950289975,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00031416874327183994,
+      "loss": 4.9486,
+      "mean_token_accuracy": 0.19302618503570557,
+      "num_tokens": 10780610.0,
+      "step": 5915
+    },
+    {
+      "entropy": 5.22410569190979,
+      "epoch": 4.904722452361226,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031385402698542753,
+      "loss": 4.9151,
+      "mean_token_accuracy": 0.19276074767112733,
+      "num_tokens": 10789169.0,
+      "step": 5920
+    },
+    {
+      "entropy": 5.30161485671997,
+      "epoch": 4.908864954432477,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031353923232619674,
+      "loss": 4.9078,
+      "mean_token_accuracy": 0.19779694378376006,
+      "num_tokens": 10798636.0,
+      "step": 5925
+    },
+    {
+      "entropy": 5.3571271896362305,
+      "epoch": 4.9130074565037285,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003132243599291229,
+      "loss": 4.9753,
+      "mean_token_accuracy": 0.19644105434417725,
+      "num_tokens": 10808245.0,
+      "step": 5930
+    },
+    {
+      "entropy": 5.384200191497802,
+      "epoch": 4.91714995857498,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00031290941042933797,
+      "loss": 4.9679,
+      "mean_token_accuracy": 0.18787674605846405,
+      "num_tokens": 10817164.0,
+      "step": 5935
+    },
+    {
+      "entropy": 5.287544202804566,
+      "epoch": 4.92129246064623,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031259438446212953,
+      "loss": 5.0007,
+      "mean_token_accuracy": 0.18373542726039888,
+      "num_tokens": 10826098.0,
+      "step": 5940
+    },
+    {
+      "entropy": 5.33493857383728,
+      "epoch": 4.925434962717482,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00031227928266293933,
+      "loss": 5.0115,
+      "mean_token_accuracy": 0.18100205808877945,
+      "num_tokens": 10836427.0,
+      "step": 5945
+    },
+    {
+      "entropy": 5.345344829559326,
+      "epoch": 4.929577464788732,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00031196410566736215,
+      "loss": 4.9689,
+      "mean_token_accuracy": 0.19277302771806717,
+      "num_tokens": 10845804.0,
+      "step": 5950
+    },
+    {
+      "entropy": 5.3519449710845945,
+      "epoch": 4.933719966859983,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00031164885411114453,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.1908810630440712,
+      "num_tokens": 10855951.0,
+      "step": 5955
+    },
+    {
+      "entropy": 5.301464605331421,
+      "epoch": 4.937862468931234,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031133352863018315,
+      "loss": 5.079,
+      "mean_token_accuracy": 0.18923453092575074,
+      "num_tokens": 10865528.0,
+      "step": 5960
+    },
+    {
+      "entropy": 5.369193601608276,
+      "epoch": 4.942004971002485,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00031101812986052406,
+      "loss": 4.9936,
+      "mean_token_accuracy": 0.19839225262403487,
+      "num_tokens": 10874365.0,
+      "step": 5965
+    },
+    {
+      "entropy": 5.310976552963257,
+      "epoch": 4.9461474730737365,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00031070265843836107,
+      "loss": 4.9184,
+      "mean_token_accuracy": 0.1972976267337799,
+      "num_tokens": 10883034.0,
+      "step": 5970
+    },
+    {
+      "entropy": 5.323369884490967,
+      "epoch": 4.950289975144988,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003103871150000345,
+      "loss": 4.9768,
+      "mean_token_accuracy": 0.1961338758468628,
+      "num_tokens": 10892307.0,
+      "step": 5975
+    },
+    {
+      "entropy": 5.354686069488525,
+      "epoch": 4.954432477216239,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00031007150018202983,
+      "loss": 5.057,
+      "mean_token_accuracy": 0.18536237627267838,
+      "num_tokens": 10902074.0,
+      "step": 5980
+    },
+    {
+      "entropy": 5.372721862792969,
+      "epoch": 4.95857497928749,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00030975581462097673,
+      "loss": 4.8961,
+      "mean_token_accuracy": 0.19350670725107194,
+      "num_tokens": 10911205.0,
+      "step": 5985
+    },
+    {
+      "entropy": 5.278085422515869,
+      "epoch": 4.962717481358741,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00030944005895364754,
+      "loss": 4.9233,
+      "mean_token_accuracy": 0.19045489132404328,
+      "num_tokens": 10920371.0,
+      "step": 5990
+    },
+    {
+      "entropy": 5.219862222671509,
+      "epoch": 4.966859983429992,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00030912423381695584,
+      "loss": 4.9124,
+      "mean_token_accuracy": 0.20015972554683686,
+      "num_tokens": 10928741.0,
+      "step": 5995
+    },
+    {
+      "entropy": 5.3216063499450685,
+      "epoch": 4.971002485501243,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00030880833984795554,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.20140086114406586,
+      "num_tokens": 10938074.0,
+      "step": 6000
+    },
+    {
+      "epoch": 4.971002485501243,
+      "eval_entropy": 5.223882782942196,
+      "eval_loss": 5.772702217102051,
+      "eval_mean_token_accuracy": 0.16291698060437307,
+      "eval_num_tokens": 10938074.0,
+      "eval_runtime": 2.7438,
+      "eval_samples_per_second": 1365.624,
+      "eval_steps_per_second": 170.931,
+      "step": 6000
+    },
+    {
+      "entropy": 5.304221105575562,
+      "epoch": 4.975144987572493,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0003084923776838392,
+      "loss": 4.9428,
+      "mean_token_accuracy": 0.1906152918934822,
+      "num_tokens": 10946756.0,
+      "step": 6005
+    },
+    {
+      "entropy": 5.28564419746399,
+      "epoch": 4.9792874896437445,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00030817634796193705,
+      "loss": 4.9192,
+      "mean_token_accuracy": 0.19711493700742722,
+      "num_tokens": 10956313.0,
+      "step": 6010
+    },
+    {
+      "entropy": 5.420253419876099,
+      "epoch": 4.983429991714996,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00030786025131971555,
+      "loss": 4.9823,
+      "mean_token_accuracy": 0.19457563310861586,
+      "num_tokens": 10964333.0,
+      "step": 6015
+    },
+    {
+      "entropy": 5.329161500930786,
+      "epoch": 4.987572493786247,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003075440883947764,
+      "loss": 4.8999,
+      "mean_token_accuracy": 0.19664130955934525,
+      "num_tokens": 10974110.0,
+      "step": 6020
+    },
+    {
+      "entropy": 5.248602771759034,
+      "epoch": 4.991714995857498,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003072278598248544,
+      "loss": 4.9529,
+      "mean_token_accuracy": 0.19656815081834794,
+      "num_tokens": 10983186.0,
+      "step": 6025
+    },
+    {
+      "entropy": 5.307998704910278,
+      "epoch": 4.995857497928749,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00030691156624781734,
+      "loss": 4.9377,
+      "mean_token_accuracy": 0.19932860583066941,
+      "num_tokens": 10992244.0,
+      "step": 6030
+    },
+    {
+      "entropy": 5.353039836883545,
+      "epoch": 5.0,
+      "grad_norm": 1.8515625,
+      "learning_rate": 0.000306595208301664,
+      "loss": 4.927,
+      "mean_token_accuracy": 0.20540354549884796,
+      "num_tokens": 11000005.0,
+      "step": 6035
+    },
+    {
+      "entropy": 5.336960649490356,
+      "epoch": 5.004142502071251,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00030627878662452273,
+      "loss": 4.7717,
+      "mean_token_accuracy": 0.20522954761981965,
+      "num_tokens": 11009346.0,
+      "step": 6040
+    },
+    {
+      "entropy": 5.356115531921387,
+      "epoch": 5.008285004142502,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003059623018546508,
+      "loss": 4.7197,
+      "mean_token_accuracy": 0.2092713624238968,
+      "num_tokens": 11017844.0,
+      "step": 6045
+    },
+    {
+      "entropy": 5.362998294830322,
+      "epoch": 5.012427506213753,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003056457546304326,
+      "loss": 4.7531,
+      "mean_token_accuracy": 0.21363187432289124,
+      "num_tokens": 11026840.0,
+      "step": 6050
+    },
+    {
+      "entropy": 5.250718975067139,
+      "epoch": 5.016570008285004,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003053291455903782,
+      "loss": 4.7186,
+      "mean_token_accuracy": 0.2076275572180748,
+      "num_tokens": 11034906.0,
+      "step": 6055
+    },
+    {
+      "entropy": 5.263190746307373,
+      "epoch": 5.0207125103562555,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00030501247537312293,
+      "loss": 4.7802,
+      "mean_token_accuracy": 0.20651286244392394,
+      "num_tokens": 11044403.0,
+      "step": 6060
+    },
+    {
+      "entropy": 5.360515308380127,
+      "epoch": 5.024855012427507,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0003046957446174251,
+      "loss": 4.7387,
+      "mean_token_accuracy": 0.21264788061380385,
+      "num_tokens": 11052685.0,
+      "step": 6065
+    },
+    {
+      "entropy": 5.316996622085571,
+      "epoch": 5.028997514498757,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00030437895396216524,
+      "loss": 4.591,
+      "mean_token_accuracy": 0.21709324419498444,
+      "num_tokens": 11060830.0,
+      "step": 6070
+    },
+    {
+      "entropy": 5.315813970565796,
+      "epoch": 5.033140016570008,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.00030406210404634475,
+      "loss": 4.7708,
+      "mean_token_accuracy": 0.20373892933130264,
+      "num_tokens": 11070220.0,
+      "step": 6075
+    },
+    {
+      "entropy": 5.294347095489502,
+      "epoch": 5.037282518641259,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003037451955090846,
+      "loss": 4.6847,
+      "mean_token_accuracy": 0.20420003384351731,
+      "num_tokens": 11079171.0,
+      "step": 6080
+    },
+    {
+      "entropy": 5.297221279144287,
+      "epoch": 5.04142502071251,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00030342822898962377,
+      "loss": 4.7697,
+      "mean_token_accuracy": 0.20524269640445708,
+      "num_tokens": 11089205.0,
+      "step": 6085
+    },
+    {
+      "entropy": 5.273457336425781,
+      "epoch": 5.045567522783761,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003031112051273185,
+      "loss": 4.7429,
+      "mean_token_accuracy": 0.21156702935695648,
+      "num_tokens": 11098339.0,
+      "step": 6090
+    },
+    {
+      "entropy": 5.299424123764038,
+      "epoch": 5.049710024855012,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003027941245616405,
+      "loss": 4.6524,
+      "mean_token_accuracy": 0.21203886568546296,
+      "num_tokens": 11107218.0,
+      "step": 6095
+    },
+    {
+      "entropy": 5.3286974906921385,
+      "epoch": 5.0538525269262635,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003024769879321761,
+      "loss": 4.7702,
+      "mean_token_accuracy": 0.2051073744893074,
+      "num_tokens": 11116457.0,
+      "step": 6100
+    },
+    {
+      "entropy": 5.300696182250976,
+      "epoch": 5.057995028997515,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0003021597958786243,
+      "loss": 4.7449,
+      "mean_token_accuracy": 0.20762935131788254,
+      "num_tokens": 11124834.0,
+      "step": 6105
+    },
+    {
+      "entropy": 5.288244676589966,
+      "epoch": 5.062137531068766,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003018425490407962,
+      "loss": 4.76,
+      "mean_token_accuracy": 0.20868725776672364,
+      "num_tokens": 11133920.0,
+      "step": 6110
+    },
+    {
+      "entropy": 5.387529897689819,
+      "epoch": 5.066280033140017,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00030152524805861344,
+      "loss": 4.7597,
+      "mean_token_accuracy": 0.20800695270299913,
+      "num_tokens": 11143573.0,
+      "step": 6115
+    },
+    {
+      "entropy": 5.3629701137542725,
+      "epoch": 5.070422535211268,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00030120789357210667,
+      "loss": 4.8139,
+      "mean_token_accuracy": 0.20669919848442078,
+      "num_tokens": 11154255.0,
+      "step": 6120
+    },
+    {
+      "entropy": 5.300123262405395,
+      "epoch": 5.074565037282519,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00030089048622141453,
+      "loss": 4.7241,
+      "mean_token_accuracy": 0.2095050945878029,
+      "num_tokens": 11163306.0,
+      "step": 6125
+    },
+    {
+      "entropy": 5.368470001220703,
+      "epoch": 5.078707539353769,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00030057302664678243,
+      "loss": 4.7569,
+      "mean_token_accuracy": 0.20853464156389237,
+      "num_tokens": 11172763.0,
+      "step": 6130
+    },
+    {
+      "entropy": 5.33392744064331,
+      "epoch": 5.08285004142502,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00030025551548856105,
+      "loss": 4.7413,
+      "mean_token_accuracy": 0.20951523035764694,
+      "num_tokens": 11182196.0,
+      "step": 6135
+    },
+    {
+      "entropy": 5.287980794906616,
+      "epoch": 5.0869925434962715,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002999379533872051,
+      "loss": 4.7905,
+      "mean_token_accuracy": 0.19804110527038574,
+      "num_tokens": 11192462.0,
+      "step": 6140
+    },
+    {
+      "entropy": 5.281665325164795,
+      "epoch": 5.091135045567523,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002996203409832719,
+      "loss": 4.7519,
+      "mean_token_accuracy": 0.2107569918036461,
+      "num_tokens": 11201805.0,
+      "step": 6145
+    },
+    {
+      "entropy": 5.31660532951355,
+      "epoch": 5.095277547638774,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002993026789174205,
+      "loss": 4.7322,
+      "mean_token_accuracy": 0.21754502654075622,
+      "num_tokens": 11210114.0,
+      "step": 6150
+    },
+    {
+      "entropy": 5.335706996917724,
+      "epoch": 5.099420049710025,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002989849678304099,
+      "loss": 4.8147,
+      "mean_token_accuracy": 0.20241696387529373,
+      "num_tokens": 11219725.0,
+      "step": 6155
+    },
+    {
+      "entropy": 5.308135366439819,
+      "epoch": 5.103562551781276,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00029866720836309817,
+      "loss": 4.7283,
+      "mean_token_accuracy": 0.20736500322818757,
+      "num_tokens": 11228583.0,
+      "step": 6160
+    },
+    {
+      "entropy": 5.3292882442474365,
+      "epoch": 5.107705053852527,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00029834940115644086,
+      "loss": 4.7472,
+      "mean_token_accuracy": 0.20635622441768647,
+      "num_tokens": 11237787.0,
+      "step": 6165
+    },
+    {
+      "entropy": 5.2917111873626705,
+      "epoch": 5.111847555923778,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002980315468514898,
+      "loss": 4.7704,
+      "mean_token_accuracy": 0.20057149082422257,
+      "num_tokens": 11247136.0,
+      "step": 6170
+    },
+    {
+      "entropy": 5.239889097213745,
+      "epoch": 5.115990057995029,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00029771364608939196,
+      "loss": 4.6994,
+      "mean_token_accuracy": 0.20981708765029908,
+      "num_tokens": 11256931.0,
+      "step": 6175
+    },
+    {
+      "entropy": 5.272354030609131,
+      "epoch": 5.12013256006628,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002973956995113878,
+      "loss": 4.6811,
+      "mean_token_accuracy": 0.20489206910133362,
+      "num_tokens": 11266457.0,
+      "step": 6180
+    },
+    {
+      "entropy": 5.272558641433716,
+      "epoch": 5.1242750621375315,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.0002970777077588103,
+      "loss": 4.6443,
+      "mean_token_accuracy": 0.2170465260744095,
+      "num_tokens": 11274239.0,
+      "step": 6185
+    },
+    {
+      "entropy": 5.282349872589111,
+      "epoch": 5.128417564208782,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0002967596714730837,
+      "loss": 4.7752,
+      "mean_token_accuracy": 0.20363858938217164,
+      "num_tokens": 11283239.0,
+      "step": 6190
+    },
+    {
+      "entropy": 5.285331869125367,
+      "epoch": 5.132560066280033,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00029644159129572185,
+      "loss": 4.7121,
+      "mean_token_accuracy": 0.2075791761279106,
+      "num_tokens": 11291662.0,
+      "step": 6195
+    },
+    {
+      "entropy": 5.2614960193634035,
+      "epoch": 5.136702568351284,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002961234678683272,
+      "loss": 4.7453,
+      "mean_token_accuracy": 0.21309943348169327,
+      "num_tokens": 11300165.0,
+      "step": 6200
+    },
+    {
+      "entropy": 5.323043155670166,
+      "epoch": 5.140845070422535,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0002958053018325896,
+      "loss": 4.7132,
+      "mean_token_accuracy": 0.21612811386585234,
+      "num_tokens": 11309729.0,
+      "step": 6205
+    },
+    {
+      "entropy": 5.375712585449219,
+      "epoch": 5.144987572493786,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002954870938302846,
+      "loss": 4.7657,
+      "mean_token_accuracy": 0.2033802881836891,
+      "num_tokens": 11318674.0,
+      "step": 6210
+    },
+    {
+      "entropy": 5.292187595367432,
+      "epoch": 5.149130074565037,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002951688445032726,
+      "loss": 4.7309,
+      "mean_token_accuracy": 0.21144932359457017,
+      "num_tokens": 11327583.0,
+      "step": 6215
+    },
+    {
+      "entropy": 5.326848030090332,
+      "epoch": 5.153272576636288,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002948505544934971,
+      "loss": 4.7639,
+      "mean_token_accuracy": 0.2049189493060112,
+      "num_tokens": 11338132.0,
+      "step": 6220
+    },
+    {
+      "entropy": 5.31851224899292,
+      "epoch": 5.1574150787075395,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000294532224442984,
+      "loss": 4.7911,
+      "mean_token_accuracy": 0.20397177040576936,
+      "num_tokens": 11347210.0,
+      "step": 6225
+    },
+    {
+      "entropy": 5.275168132781983,
+      "epoch": 5.161557580778791,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00029421385499383976,
+      "loss": 4.6742,
+      "mean_token_accuracy": 0.22349916100502015,
+      "num_tokens": 11355479.0,
+      "step": 6230
+    },
+    {
+      "entropy": 5.348278999328613,
+      "epoch": 5.165700082850042,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00029389544678825035,
+      "loss": 4.8403,
+      "mean_token_accuracy": 0.19372698813676834,
+      "num_tokens": 11364518.0,
+      "step": 6235
+    },
+    {
+      "entropy": 5.247139596939087,
+      "epoch": 5.169842584921293,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00029357700046847985,
+      "loss": 4.737,
+      "mean_token_accuracy": 0.2046540141105652,
+      "num_tokens": 11373589.0,
+      "step": 6240
+    },
+    {
+      "entropy": 5.368101263046265,
+      "epoch": 5.173985086992544,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002932585166768694,
+      "loss": 4.7938,
+      "mean_token_accuracy": 0.20394597351551055,
+      "num_tokens": 11383209.0,
+      "step": 6245
+    },
+    {
+      "entropy": 5.315500497817993,
+      "epoch": 5.178127589063794,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00029293999605583545,
+      "loss": 4.7294,
+      "mean_token_accuracy": 0.20444581657648087,
+      "num_tokens": 11392012.0,
+      "step": 6250
+    },
+    {
+      "entropy": 5.282355690002442,
+      "epoch": 5.182270091135045,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00029262143924786905,
+      "loss": 4.7761,
+      "mean_token_accuracy": 0.20456164181232453,
+      "num_tokens": 11400489.0,
+      "step": 6255
+    },
+    {
+      "entropy": 5.2667319774627686,
+      "epoch": 5.186412593206296,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00029230284689553404,
+      "loss": 4.6817,
+      "mean_token_accuracy": 0.21175160706043245,
+      "num_tokens": 11409337.0,
+      "step": 6260
+    },
+    {
+      "entropy": 5.286681175231934,
+      "epoch": 5.190555095277547,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00029198421964146605,
+      "loss": 4.7382,
+      "mean_token_accuracy": 0.21787525415420533,
+      "num_tokens": 11418650.0,
+      "step": 6265
+    },
+    {
+      "entropy": 5.2383523941040036,
+      "epoch": 5.1946975973487985,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002916655581283709,
+      "loss": 4.747,
+      "mean_token_accuracy": 0.20590767711400987,
+      "num_tokens": 11427516.0,
+      "step": 6270
+    },
+    {
+      "entropy": 5.225810289382935,
+      "epoch": 5.19884009942005,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00029134686299902397,
+      "loss": 4.7223,
+      "mean_token_accuracy": 0.20668105334043502,
+      "num_tokens": 11435676.0,
+      "step": 6275
+    },
+    {
+      "entropy": 5.336339044570923,
+      "epoch": 5.202982601491301,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002910281348962679,
+      "loss": 4.7825,
+      "mean_token_accuracy": 0.1937339723110199,
+      "num_tokens": 11444520.0,
+      "step": 6280
+    },
+    {
+      "entropy": 5.342389440536499,
+      "epoch": 5.207125103562552,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00029070937446301225,
+      "loss": 4.7611,
+      "mean_token_accuracy": 0.20350439995527267,
+      "num_tokens": 11453759.0,
+      "step": 6285
+    },
+    {
+      "entropy": 5.377904796600342,
+      "epoch": 5.211267605633803,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002903905823422317,
+      "loss": 4.9078,
+      "mean_token_accuracy": 0.1901518851518631,
+      "num_tokens": 11463409.0,
+      "step": 6290
+    },
+    {
+      "entropy": 5.323945093154907,
+      "epoch": 5.215410107705054,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002900717591769646,
+      "loss": 4.7966,
+      "mean_token_accuracy": 0.20510322898626326,
+      "num_tokens": 11473440.0,
+      "step": 6295
+    },
+    {
+      "entropy": 5.27484130859375,
+      "epoch": 5.219552609776305,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002897529056103122,
+      "loss": 4.6336,
+      "mean_token_accuracy": 0.2183629482984543,
+      "num_tokens": 11482353.0,
+      "step": 6300
+    },
+    {
+      "entropy": 5.297479438781738,
+      "epoch": 5.223695111847556,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002894340222854371,
+      "loss": 4.7712,
+      "mean_token_accuracy": 0.20640946179628372,
+      "num_tokens": 11491331.0,
+      "step": 6305
+    },
+    {
+      "entropy": 5.215849542617798,
+      "epoch": 5.2278376139188065,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002891151098455617,
+      "loss": 4.7107,
+      "mean_token_accuracy": 0.20350281596183778,
+      "num_tokens": 11500553.0,
+      "step": 6310
+    },
+    {
+      "entropy": 5.170541191101075,
+      "epoch": 5.231980115990058,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002887961689339672,
+      "loss": 4.6526,
+      "mean_token_accuracy": 0.21051572561264037,
+      "num_tokens": 11509146.0,
+      "step": 6315
+    },
+    {
+      "entropy": 5.332199335098267,
+      "epoch": 5.236122618061309,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002884772001939924,
+      "loss": 4.7771,
+      "mean_token_accuracy": 0.20190449655056,
+      "num_tokens": 11518172.0,
+      "step": 6320
+    },
+    {
+      "entropy": 5.30375485420227,
+      "epoch": 5.24026512013256,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000288158204269032,
+      "loss": 4.7764,
+      "mean_token_accuracy": 0.19927115142345428,
+      "num_tokens": 11527291.0,
+      "step": 6325
+    },
+    {
+      "entropy": 5.285002279281616,
+      "epoch": 5.244407622203811,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00028783918180253567,
+      "loss": 4.7763,
+      "mean_token_accuracy": 0.20877851247787477,
+      "num_tokens": 11536306.0,
+      "step": 6330
+    },
+    {
+      "entropy": 5.325639486312866,
+      "epoch": 5.248550124275062,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002875201334380066,
+      "loss": 4.801,
+      "mean_token_accuracy": 0.20768691897392272,
+      "num_tokens": 11545879.0,
+      "step": 6335
+    },
+    {
+      "entropy": 5.260626125335693,
+      "epoch": 5.252692626346313,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002872010598190002,
+      "loss": 4.7203,
+      "mean_token_accuracy": 0.21331494748592378,
+      "num_tokens": 11555067.0,
+      "step": 6340
+    },
+    {
+      "entropy": 5.273142910003662,
+      "epoch": 5.256835128417564,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002868819615891229,
+      "loss": 4.699,
+      "mean_token_accuracy": 0.211579430103302,
+      "num_tokens": 11563419.0,
+      "step": 6345
+    },
+    {
+      "entropy": 5.256633758544922,
+      "epoch": 5.260977630488815,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002865628393920305,
+      "loss": 4.7696,
+      "mean_token_accuracy": 0.207663132250309,
+      "num_tokens": 11573018.0,
+      "step": 6350
+    },
+    {
+      "entropy": 5.237578821182251,
+      "epoch": 5.2651201325600665,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.0002862436938714276,
+      "loss": 4.7003,
+      "mean_token_accuracy": 0.20862672179937364,
+      "num_tokens": 11581996.0,
+      "step": 6355
+    },
+    {
+      "entropy": 5.355519008636475,
+      "epoch": 5.269262634631318,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002859245256710654,
+      "loss": 4.7534,
+      "mean_token_accuracy": 0.20775581747293473,
+      "num_tokens": 11591706.0,
+      "step": 6360
+    },
+    {
+      "entropy": 5.319948673248291,
+      "epoch": 5.273405136702569,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002856053354347411,
+      "loss": 4.7813,
+      "mean_token_accuracy": 0.2074725329875946,
+      "num_tokens": 11600616.0,
+      "step": 6365
+    },
+    {
+      "entropy": 5.243834018707275,
+      "epoch": 5.27754763877382,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002852861238062963,
+      "loss": 4.6584,
+      "mean_token_accuracy": 0.21568063348531724,
+      "num_tokens": 11609650.0,
+      "step": 6370
+    },
+    {
+      "entropy": 5.26465950012207,
+      "epoch": 5.28169014084507,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002849668914296157,
+      "loss": 4.6998,
+      "mean_token_accuracy": 0.21142313480377198,
+      "num_tokens": 11618785.0,
+      "step": 6375
+    },
+    {
+      "entropy": 5.305418300628662,
+      "epoch": 5.285832642916321,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000284647638948626,
+      "loss": 4.7576,
+      "mean_token_accuracy": 0.20556087791919708,
+      "num_tokens": 11628089.0,
+      "step": 6380
+    },
+    {
+      "entropy": 5.268257570266724,
+      "epoch": 5.289975144987572,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002843283670072942,
+      "loss": 4.8658,
+      "mean_token_accuracy": 0.19545172303915023,
+      "num_tokens": 11636954.0,
+      "step": 6385
+    },
+    {
+      "entropy": 5.275126600265503,
+      "epoch": 5.294117647058823,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0002840090762496268,
+      "loss": 4.7803,
+      "mean_token_accuracy": 0.20498874336481093,
+      "num_tokens": 11646719.0,
+      "step": 6390
+    },
+    {
+      "entropy": 5.340854024887085,
+      "epoch": 5.2982601491300745,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002836897673196681,
+      "loss": 4.7015,
+      "mean_token_accuracy": 0.20719585418701172,
+      "num_tokens": 11655589.0,
+      "step": 6395
+    },
+    {
+      "entropy": 5.227226972579956,
+      "epoch": 5.302402651201326,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00028337044086149913,
+      "loss": 4.7283,
+      "mean_token_accuracy": 0.20560554265975953,
+      "num_tokens": 11663703.0,
+      "step": 6400
+    },
+    {
+      "entropy": 5.296469211578369,
+      "epoch": 5.306545153272577,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00028305109751923616,
+      "loss": 4.8177,
+      "mean_token_accuracy": 0.20388006865978242,
+      "num_tokens": 11672643.0,
+      "step": 6405
+    },
+    {
+      "entropy": 5.270711994171142,
+      "epoch": 5.310687655343828,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00028273173793702967,
+      "loss": 4.673,
+      "mean_token_accuracy": 0.2078327417373657,
+      "num_tokens": 11681449.0,
+      "step": 6410
+    },
+    {
+      "entropy": 5.301759338378906,
+      "epoch": 5.314830157415079,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002824123627590629,
+      "loss": 4.7568,
+      "mean_token_accuracy": 0.19922166019678117,
+      "num_tokens": 11690820.0,
+      "step": 6415
+    },
+    {
+      "entropy": 5.291653823852539,
+      "epoch": 5.31897265948633,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002820929726295504,
+      "loss": 4.7858,
+      "mean_token_accuracy": 0.2068773627281189,
+      "num_tokens": 11699705.0,
+      "step": 6420
+    },
+    {
+      "entropy": 5.257635831832886,
+      "epoch": 5.323115161557581,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002817735681927371,
+      "loss": 4.7267,
+      "mean_token_accuracy": 0.21190525144338607,
+      "num_tokens": 11709417.0,
+      "step": 6425
+    },
+    {
+      "entropy": 5.305531692504883,
+      "epoch": 5.327257663628831,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00028145415009289644,
+      "loss": 4.7662,
+      "mean_token_accuracy": 0.2035451725125313,
+      "num_tokens": 11718661.0,
+      "step": 6430
+    },
+    {
+      "entropy": 5.240819025039673,
+      "epoch": 5.3314001657000825,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002811347189743297,
+      "loss": 4.7448,
+      "mean_token_accuracy": 0.21049206256866454,
+      "num_tokens": 11727568.0,
+      "step": 6435
+    },
+    {
+      "entropy": 5.250747394561768,
+      "epoch": 5.335542667771334,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00028081527548136446,
+      "loss": 4.6853,
+      "mean_token_accuracy": 0.2216053858399391,
+      "num_tokens": 11736615.0,
+      "step": 6440
+    },
+    {
+      "entropy": 5.348236608505249,
+      "epoch": 5.339685169842585,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002804958202583531,
+      "loss": 4.8181,
+      "mean_token_accuracy": 0.19986798763275146,
+      "num_tokens": 11747458.0,
+      "step": 6445
+    },
+    {
+      "entropy": 5.277511358261108,
+      "epoch": 5.343827671913836,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002801763539496718,
+      "loss": 4.7878,
+      "mean_token_accuracy": 0.2081502467393875,
+      "num_tokens": 11756279.0,
+      "step": 6450
+    },
+    {
+      "entropy": 5.279990530014038,
+      "epoch": 5.347970173985087,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002798568771997188,
+      "loss": 4.7942,
+      "mean_token_accuracy": 0.2071585923433304,
+      "num_tokens": 11765022.0,
+      "step": 6455
+    },
+    {
+      "entropy": 5.2339942932128904,
+      "epoch": 5.352112676056338,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002795373906529137,
+      "loss": 4.7376,
+      "mean_token_accuracy": 0.20560838282108307,
+      "num_tokens": 11774704.0,
+      "step": 6460
+    },
+    {
+      "entropy": 5.248803615570068,
+      "epoch": 5.356255178127589,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002792178949536959,
+      "loss": 4.6784,
+      "mean_token_accuracy": 0.21611350923776626,
+      "num_tokens": 11782309.0,
+      "step": 6465
+    },
+    {
+      "entropy": 5.28652811050415,
+      "epoch": 5.36039768019884,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000278898390746523,
+      "loss": 4.7467,
+      "mean_token_accuracy": 0.20095686316490174,
+      "num_tokens": 11792595.0,
+      "step": 6470
+    },
+    {
+      "entropy": 5.2047077178955075,
+      "epoch": 5.364540182270091,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00027857887867587005,
+      "loss": 4.7269,
+      "mean_token_accuracy": 0.21140239089727403,
+      "num_tokens": 11801536.0,
+      "step": 6475
+    },
+    {
+      "entropy": 5.271708583831787,
+      "epoch": 5.368682684341342,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002782593593862276,
+      "loss": 4.8229,
+      "mean_token_accuracy": 0.19779271334409715,
+      "num_tokens": 11810222.0,
+      "step": 6480
+    },
+    {
+      "entropy": 5.317666244506836,
+      "epoch": 5.3728251864125935,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002779398335221011,
+      "loss": 4.8066,
+      "mean_token_accuracy": 0.20721431225538253,
+      "num_tokens": 11819310.0,
+      "step": 6485
+    },
+    {
+      "entropy": 5.305458688735962,
+      "epoch": 5.376967688483845,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.0002776203017280092,
+      "loss": 4.7703,
+      "mean_token_accuracy": 0.19982181042432784,
+      "num_tokens": 11827916.0,
+      "step": 6490
+    },
+    {
+      "entropy": 5.217341518402099,
+      "epoch": 5.381110190555095,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00027730076464848225,
+      "loss": 4.7654,
+      "mean_token_accuracy": 0.20862893313169478,
+      "num_tokens": 11836770.0,
+      "step": 6495
+    },
+    {
+      "entropy": 5.276216888427735,
+      "epoch": 5.385252692626346,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00027698122292806174,
+      "loss": 4.7006,
+      "mean_token_accuracy": 0.21164953708648682,
+      "num_tokens": 11845917.0,
+      "step": 6500
+    },
+    {
+      "epoch": 5.385252692626346,
+      "eval_entropy": 5.213927641097925,
+      "eval_loss": 5.769200801849365,
+      "eval_mean_token_accuracy": 0.16407465213524508,
+      "eval_num_tokens": 11845917.0,
+      "eval_runtime": 2.9494,
+      "eval_samples_per_second": 1270.426,
+      "eval_steps_per_second": 159.015,
+      "step": 6500
+    },
+    {
+      "entropy": 5.290333843231201,
+      "epoch": 5.389395194697597,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.000276661677211298,
+      "loss": 4.7403,
+      "mean_token_accuracy": 0.20341738760471345,
+      "num_tokens": 11855118.0,
+      "step": 6505
+    },
+    {
+      "entropy": 5.278094148635864,
+      "epoch": 5.393537696768848,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002763421281427497,
+      "loss": 4.6794,
+      "mean_token_accuracy": 0.21257141679525376,
+      "num_tokens": 11863793.0,
+      "step": 6510
+    },
+    {
+      "entropy": 5.368717813491822,
+      "epoch": 5.397680198840099,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002760225763669823,
+      "loss": 4.8171,
+      "mean_token_accuracy": 0.197501078248024,
+      "num_tokens": 11873194.0,
+      "step": 6515
+    },
+    {
+      "entropy": 5.341726636886596,
+      "epoch": 5.40182270091135,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00027570302252856666,
+      "loss": 4.7747,
+      "mean_token_accuracy": 0.20519590526819229,
+      "num_tokens": 11882566.0,
+      "step": 6520
+    },
+    {
+      "entropy": 5.2676441192626955,
+      "epoch": 5.4059652029826015,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00027538346727207767,
+      "loss": 4.7475,
+      "mean_token_accuracy": 0.21314287781715394,
+      "num_tokens": 11892267.0,
+      "step": 6525
+    },
+    {
+      "entropy": 5.272220420837402,
+      "epoch": 5.410107705053853,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002750639112420934,
+      "loss": 4.7716,
+      "mean_token_accuracy": 0.21124217808246612,
+      "num_tokens": 11901440.0,
+      "step": 6530
+    },
+    {
+      "entropy": 5.270874547958374,
+      "epoch": 5.414250207125104,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00027474435508319304,
+      "loss": 4.8396,
+      "mean_token_accuracy": 0.20556266158819197,
+      "num_tokens": 11911259.0,
+      "step": 6535
+    },
+    {
+      "entropy": 5.265343093872071,
+      "epoch": 5.418392709196355,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00027442479943995645,
+      "loss": 4.7941,
+      "mean_token_accuracy": 0.2035036563873291,
+      "num_tokens": 11920467.0,
+      "step": 6540
+    },
+    {
+      "entropy": 5.283535575866699,
+      "epoch": 5.422535211267606,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002741052449569624,
+      "loss": 4.8089,
+      "mean_token_accuracy": 0.19865555614233016,
+      "num_tokens": 11929971.0,
+      "step": 6545
+    },
+    {
+      "entropy": 5.330445003509522,
+      "epoch": 5.426677713338857,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002737856922787869,
+      "loss": 4.8088,
+      "mean_token_accuracy": 0.19926221221685408,
+      "num_tokens": 11938585.0,
+      "step": 6550
+    },
+    {
+      "entropy": 5.301173543930053,
+      "epoch": 5.430820215410108,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027346614205000277,
+      "loss": 4.7884,
+      "mean_token_accuracy": 0.20320066064596176,
+      "num_tokens": 11948264.0,
+      "step": 6555
+    },
+    {
+      "entropy": 5.329202175140381,
+      "epoch": 5.434962717481358,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00027314659491517777,
+      "loss": 4.7827,
+      "mean_token_accuracy": 0.2079697236418724,
+      "num_tokens": 11958459.0,
+      "step": 6560
+    },
+    {
+      "entropy": 5.296626996994019,
+      "epoch": 5.4391052195526095,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002728270515188733,
+      "loss": 4.7728,
+      "mean_token_accuracy": 0.20527158677577972,
+      "num_tokens": 11967994.0,
+      "step": 6565
+    },
+    {
+      "entropy": 5.325187683105469,
+      "epoch": 5.443247721623861,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002725075125056435,
+      "loss": 4.8235,
+      "mean_token_accuracy": 0.21111733317375184,
+      "num_tokens": 11976564.0,
+      "step": 6570
+    },
+    {
+      "entropy": 5.296580266952515,
+      "epoch": 5.447390223695112,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002721879785200333,
+      "loss": 4.7541,
+      "mean_token_accuracy": 0.21026979386806488,
+      "num_tokens": 11985682.0,
+      "step": 6575
+    },
+    {
+      "entropy": 5.34701886177063,
+      "epoch": 5.451532725766363,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002718684502065777,
+      "loss": 4.8138,
+      "mean_token_accuracy": 0.20367322415113448,
+      "num_tokens": 11995098.0,
+      "step": 6580
+    },
+    {
+      "entropy": 5.3261590003967285,
+      "epoch": 5.455675227837614,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00027154892820980024,
+      "loss": 4.8096,
+      "mean_token_accuracy": 0.206008443236351,
+      "num_tokens": 12004538.0,
+      "step": 6585
+    },
+    {
+      "entropy": 5.262662792205811,
+      "epoch": 5.459817729908865,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00027122941317421175,
+      "loss": 4.741,
+      "mean_token_accuracy": 0.21086378544569015,
+      "num_tokens": 12012568.0,
+      "step": 6590
+    },
+    {
+      "entropy": 5.287980222702027,
+      "epoch": 5.463960231980116,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000270909905744309,
+      "loss": 4.776,
+      "mean_token_accuracy": 0.20741475820541383,
+      "num_tokens": 12021934.0,
+      "step": 6595
+    },
+    {
+      "entropy": 5.313226222991943,
+      "epoch": 5.468102734051367,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00027059040656457316,
+      "loss": 4.8104,
+      "mean_token_accuracy": 0.2010733589529991,
+      "num_tokens": 12031158.0,
+      "step": 6600
+    },
+    {
+      "entropy": 5.3314722061157225,
+      "epoch": 5.472245236122618,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002702709162794692,
+      "loss": 4.8078,
+      "mean_token_accuracy": 0.20088913142681122,
+      "num_tokens": 12040392.0,
+      "step": 6605
+    },
+    {
+      "entropy": 5.248980331420898,
+      "epoch": 5.4763877381938695,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00026995143553344394,
+      "loss": 4.6481,
+      "mean_token_accuracy": 0.21935920119285585,
+      "num_tokens": 12048412.0,
+      "step": 6610
+    },
+    {
+      "entropy": 5.258455896377564,
+      "epoch": 5.48053024026512,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00026963196497092483,
+      "loss": 4.7625,
+      "mean_token_accuracy": 0.20619691014289857,
+      "num_tokens": 12057681.0,
+      "step": 6615
+    },
+    {
+      "entropy": 5.290913534164429,
+      "epoch": 5.484672742336371,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00026931250523631905,
+      "loss": 4.7451,
+      "mean_token_accuracy": 0.20713003873825073,
+      "num_tokens": 12066243.0,
+      "step": 6620
+    },
+    {
+      "entropy": 5.215484523773194,
+      "epoch": 5.488815244407622,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026899305697401175,
+      "loss": 4.7545,
+      "mean_token_accuracy": 0.20806889086961747,
+      "num_tokens": 12075312.0,
+      "step": 6625
+    },
+    {
+      "entropy": 5.231590509414673,
+      "epoch": 5.492957746478873,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002686736208283649,
+      "loss": 4.7629,
+      "mean_token_accuracy": 0.20990005433559417,
+      "num_tokens": 12083990.0,
+      "step": 6630
+    },
+    {
+      "entropy": 5.376721620559692,
+      "epoch": 5.497100248550124,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00026835419744371627,
+      "loss": 4.8732,
+      "mean_token_accuracy": 0.19839346706867217,
+      "num_tokens": 12093301.0,
+      "step": 6635
+    },
+    {
+      "entropy": 5.241463851928711,
+      "epoch": 5.501242750621375,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002680347874643775,
+      "loss": 4.6882,
+      "mean_token_accuracy": 0.21418087482452391,
+      "num_tokens": 12102054.0,
+      "step": 6640
+    },
+    {
+      "entropy": 5.262872982025146,
+      "epoch": 5.505385252692626,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002677153915346336,
+      "loss": 4.7708,
+      "mean_token_accuracy": 0.20341249853372573,
+      "num_tokens": 12111432.0,
+      "step": 6645
+    },
+    {
+      "entropy": 5.237018823623657,
+      "epoch": 5.5095277547638775,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002673960102987412,
+      "loss": 4.7032,
+      "mean_token_accuracy": 0.21349260658025743,
+      "num_tokens": 12120424.0,
+      "step": 6650
+    },
+    {
+      "entropy": 5.301366519927979,
+      "epoch": 5.513670256835129,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00026707664440092676,
+      "loss": 4.8377,
+      "mean_token_accuracy": 0.20626042485237123,
+      "num_tokens": 12130210.0,
+      "step": 6655
+    },
+    {
+      "entropy": 5.414148330688477,
+      "epoch": 5.51781275890638,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00026675729448538655,
+      "loss": 4.8269,
+      "mean_token_accuracy": 0.21095569282770157,
+      "num_tokens": 12139366.0,
+      "step": 6660
+    },
+    {
+      "entropy": 5.2740867137908936,
+      "epoch": 5.521955260977631,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00026643796119628404,
+      "loss": 4.6432,
+      "mean_token_accuracy": 0.21321782022714614,
+      "num_tokens": 12148385.0,
+      "step": 6665
+    },
+    {
+      "entropy": 5.290845537185669,
+      "epoch": 5.526097763048882,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002661186451777495,
+      "loss": 4.7822,
+      "mean_token_accuracy": 0.20492887496948242,
+      "num_tokens": 12156640.0,
+      "step": 6670
+    },
+    {
+      "entropy": 5.280693674087525,
+      "epoch": 5.530240265120133,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002657993470738781,
+      "loss": 4.8587,
+      "mean_token_accuracy": 0.19673615247011184,
+      "num_tokens": 12166532.0,
+      "step": 6675
+    },
+    {
+      "entropy": 5.24079852104187,
+      "epoch": 5.534382767191383,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026548006752872915,
+      "loss": 4.6934,
+      "mean_token_accuracy": 0.2146509751677513,
+      "num_tokens": 12175239.0,
+      "step": 6680
+    },
+    {
+      "entropy": 5.243715524673462,
+      "epoch": 5.538525269262634,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002651608071863244,
+      "loss": 4.7611,
+      "mean_token_accuracy": 0.20688466280698775,
+      "num_tokens": 12184588.0,
+      "step": 6685
+    },
+    {
+      "entropy": 5.333131456375122,
+      "epoch": 5.542667771333885,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00026484156669064665,
+      "loss": 4.8177,
+      "mean_token_accuracy": 0.20230551064014435,
+      "num_tokens": 12194140.0,
+      "step": 6690
+    },
+    {
+      "entropy": 5.310734224319458,
+      "epoch": 5.5468102734051365,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.000264522346685639,
+      "loss": 4.8193,
+      "mean_token_accuracy": 0.20696787536144257,
+      "num_tokens": 12203504.0,
+      "step": 6695
+    },
+    {
+      "entropy": 5.33381724357605,
+      "epoch": 5.550952775476388,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0002642031478152031,
+      "loss": 4.7782,
+      "mean_token_accuracy": 0.207833394408226,
+      "num_tokens": 12212594.0,
+      "step": 6700
+    },
+    {
+      "entropy": 5.3383890151977536,
+      "epoch": 5.555095277547639,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00026388397072319786,
+      "loss": 4.8162,
+      "mean_token_accuracy": 0.2045178234577179,
+      "num_tokens": 12222101.0,
+      "step": 6705
+    },
+    {
+      "entropy": 5.29089732170105,
+      "epoch": 5.55923777961889,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002635648160534385,
+      "loss": 4.8118,
+      "mean_token_accuracy": 0.20435990989208222,
+      "num_tokens": 12232118.0,
+      "step": 6710
+    },
+    {
+      "entropy": 5.352822351455688,
+      "epoch": 5.563380281690141,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026324568444969473,
+      "loss": 4.7439,
+      "mean_token_accuracy": 0.20706239342689514,
+      "num_tokens": 12241275.0,
+      "step": 6715
+    },
+    {
+      "entropy": 5.245583724975586,
+      "epoch": 5.567522783761392,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026292657655569,
+      "loss": 4.7375,
+      "mean_token_accuracy": 0.21279312521219254,
+      "num_tokens": 12251125.0,
+      "step": 6720
+    },
+    {
+      "entropy": 5.229356813430786,
+      "epoch": 5.571665285832643,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00026260749301509954,
+      "loss": 4.7241,
+      "mean_token_accuracy": 0.21198077648878097,
+      "num_tokens": 12260613.0,
+      "step": 6725
+    },
+    {
+      "entropy": 5.324583339691162,
+      "epoch": 5.575807787903894,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026228843447155005,
+      "loss": 4.733,
+      "mean_token_accuracy": 0.2107634127140045,
+      "num_tokens": 12269878.0,
+      "step": 6730
+    },
+    {
+      "entropy": 5.270222854614258,
+      "epoch": 5.5799502899751445,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00026196940156861736,
+      "loss": 4.7819,
+      "mean_token_accuracy": 0.20616225749254227,
+      "num_tokens": 12278616.0,
+      "step": 6735
+    },
+    {
+      "entropy": 5.194797945022583,
+      "epoch": 5.584092792046396,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00026165039494982555,
+      "loss": 4.7068,
+      "mean_token_accuracy": 0.2110671728849411,
+      "num_tokens": 12287104.0,
+      "step": 6740
+    },
+    {
+      "entropy": 5.187378549575806,
+      "epoch": 5.588235294117647,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00026133141525864605,
+      "loss": 4.7357,
+      "mean_token_accuracy": 0.20822987705469131,
+      "num_tokens": 12296503.0,
+      "step": 6745
+    },
+    {
+      "entropy": 5.294446992874145,
+      "epoch": 5.592377796188898,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00026101246313849557,
+      "loss": 4.6989,
+      "mean_token_accuracy": 0.2123148426413536,
+      "num_tokens": 12306298.0,
+      "step": 6750
+    },
+    {
+      "entropy": 5.2862865924835205,
+      "epoch": 5.596520298260149,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0002606935392327356,
+      "loss": 4.7664,
+      "mean_token_accuracy": 0.20611962229013442,
+      "num_tokens": 12314826.0,
+      "step": 6755
+    },
+    {
+      "entropy": 5.258157396316529,
+      "epoch": 5.6006628003314,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00026037464418467035,
+      "loss": 4.7079,
+      "mean_token_accuracy": 0.21357058137655258,
+      "num_tokens": 12323776.0,
+      "step": 6760
+    },
+    {
+      "entropy": 5.312329053878784,
+      "epoch": 5.604805302402651,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002600557786375459,
+      "loss": 4.7819,
+      "mean_token_accuracy": 0.20854859054088593,
+      "num_tokens": 12332374.0,
+      "step": 6765
+    },
+    {
+      "entropy": 5.217779874801636,
+      "epoch": 5.608947804473902,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00025973694323454916,
+      "loss": 4.6354,
+      "mean_token_accuracy": 0.21756067872047424,
+      "num_tokens": 12341007.0,
+      "step": 6770
+    },
+    {
+      "entropy": 5.175305271148682,
+      "epoch": 5.613090306545153,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00025941813861880575,
+      "loss": 4.7114,
+      "mean_token_accuracy": 0.20966241657733917,
+      "num_tokens": 12350330.0,
+      "step": 6775
+    },
+    {
+      "entropy": 5.267894315719604,
+      "epoch": 5.6172328086164045,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00025909936543337957,
+      "loss": 4.7519,
+      "mean_token_accuracy": 0.1993374451994896,
+      "num_tokens": 12358592.0,
+      "step": 6780
+    },
+    {
+      "entropy": 5.290813016891479,
+      "epoch": 5.621375310687656,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002587806243212709,
+      "loss": 4.7692,
+      "mean_token_accuracy": 0.20917081385850905,
+      "num_tokens": 12368195.0,
+      "step": 6785
+    },
+    {
+      "entropy": 5.241605234146118,
+      "epoch": 5.625517812758907,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002584619159254154,
+      "loss": 4.7124,
+      "mean_token_accuracy": 0.20834194272756576,
+      "num_tokens": 12377206.0,
+      "step": 6790
+    },
+    {
+      "entropy": 5.247827816009521,
+      "epoch": 5.629660314830158,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00025814324088868276,
+      "loss": 4.7593,
+      "mean_token_accuracy": 0.21013118624687194,
+      "num_tokens": 12386595.0,
+      "step": 6795
+    },
+    {
+      "entropy": 5.175970602035522,
+      "epoch": 5.633802816901408,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00025782459985387526,
+      "loss": 4.6569,
+      "mean_token_accuracy": 0.2180004358291626,
+      "num_tokens": 12395923.0,
+      "step": 6800
+    },
+    {
+      "entropy": 5.269517803192139,
+      "epoch": 5.637945318972659,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002575059934637268,
+      "loss": 4.7985,
+      "mean_token_accuracy": 0.20669761300086975,
+      "num_tokens": 12405094.0,
+      "step": 6805
+    },
+    {
+      "entropy": 5.268765878677368,
+      "epoch": 5.64208782104391,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002571874223609012,
+      "loss": 4.7972,
+      "mean_token_accuracy": 0.20435070544481276,
+      "num_tokens": 12414834.0,
+      "step": 6810
+    },
+    {
+      "entropy": 5.294848012924194,
+      "epoch": 5.646230323115161,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00025686888718799136,
+      "loss": 4.7513,
+      "mean_token_accuracy": 0.20469613671302794,
+      "num_tokens": 12423485.0,
+      "step": 6815
+    },
+    {
+      "entropy": 5.368587017059326,
+      "epoch": 5.6503728251864125,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002565503885875173,
+      "loss": 4.7935,
+      "mean_token_accuracy": 0.20704300552606583,
+      "num_tokens": 12432149.0,
+      "step": 6820
+    },
+    {
+      "entropy": 5.2622401237487795,
+      "epoch": 5.654515327257664,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00025623192720192564,
+      "loss": 4.7433,
+      "mean_token_accuracy": 0.2119109019637108,
+      "num_tokens": 12441272.0,
+      "step": 6825
+    },
+    {
+      "entropy": 5.190871524810791,
+      "epoch": 5.658657829328915,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002559135036735877,
+      "loss": 4.7388,
+      "mean_token_accuracy": 0.20155471414327622,
+      "num_tokens": 12449318.0,
+      "step": 6830
+    },
+    {
+      "entropy": 5.168833065032959,
+      "epoch": 5.662800331400166,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00025559511864479864,
+      "loss": 4.6898,
+      "mean_token_accuracy": 0.21231105625629426,
+      "num_tokens": 12458473.0,
+      "step": 6835
+    },
+    {
+      "entropy": 5.313192129135132,
+      "epoch": 5.666942833471417,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002552767727577758,
+      "loss": 4.8113,
+      "mean_token_accuracy": 0.20445662438869477,
+      "num_tokens": 12467703.0,
+      "step": 6840
+    },
+    {
+      "entropy": 5.292496681213379,
+      "epoch": 5.671085335542668,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00025495846665465774,
+      "loss": 4.6938,
+      "mean_token_accuracy": 0.21795116513967513,
+      "num_tokens": 12476166.0,
+      "step": 6845
+    },
+    {
+      "entropy": 5.235640621185302,
+      "epoch": 5.675227837613919,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002546402009775024,
+      "loss": 4.7403,
+      "mean_token_accuracy": 0.20330073386430741,
+      "num_tokens": 12484880.0,
+      "step": 6850
+    },
+    {
+      "entropy": 5.31177544593811,
+      "epoch": 5.679370339685169,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00025432197636828663,
+      "loss": 4.8103,
+      "mean_token_accuracy": 0.20381423085927963,
+      "num_tokens": 12494208.0,
+      "step": 6855
+    },
+    {
+      "entropy": 5.334811210632324,
+      "epoch": 5.683512841756421,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002540037934689042,
+      "loss": 4.8024,
+      "mean_token_accuracy": 0.20098040848970414,
+      "num_tokens": 12503647.0,
+      "step": 6860
+    },
+    {
+      "entropy": 5.295432138442993,
+      "epoch": 5.687655343827672,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00025368565292116475,
+      "loss": 4.8225,
+      "mean_token_accuracy": 0.20177613645792009,
+      "num_tokens": 12512869.0,
+      "step": 6865
+    },
+    {
+      "entropy": 5.28051609992981,
+      "epoch": 5.691797845898923,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002533675553667927,
+      "loss": 4.8747,
+      "mean_token_accuracy": 0.19059171974658967,
+      "num_tokens": 12523222.0,
+      "step": 6870
+    },
+    {
+      "entropy": 5.24097170829773,
+      "epoch": 5.695940347970174,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00025304950144742523,
+      "loss": 4.7456,
+      "mean_token_accuracy": 0.20784133225679396,
+      "num_tokens": 12532343.0,
+      "step": 6875
+    },
+    {
+      "entropy": 5.255422782897949,
+      "epoch": 5.700082850041425,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002527314918046122,
+      "loss": 4.7467,
+      "mean_token_accuracy": 0.21441746652126312,
+      "num_tokens": 12541508.0,
+      "step": 6880
+    },
+    {
+      "entropy": 5.222242641448974,
+      "epoch": 5.704225352112676,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0002524135270798136,
+      "loss": 4.7731,
+      "mean_token_accuracy": 0.20265263617038726,
+      "num_tokens": 12550837.0,
+      "step": 6885
+    },
+    {
+      "entropy": 5.259101152420044,
+      "epoch": 5.708367854183927,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00025209560791439914,
+      "loss": 4.7223,
+      "mean_token_accuracy": 0.21348682641983033,
+      "num_tokens": 12559859.0,
+      "step": 6890
+    },
+    {
+      "entropy": 5.279586315155029,
+      "epoch": 5.712510356255178,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002517777349496465,
+      "loss": 4.8096,
+      "mean_token_accuracy": 0.20708946287631988,
+      "num_tokens": 12569137.0,
+      "step": 6895
+    },
+    {
+      "entropy": 5.332545948028565,
+      "epoch": 5.716652858326429,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002514599088267401,
+      "loss": 4.8391,
+      "mean_token_accuracy": 0.20370080918073655,
+      "num_tokens": 12578111.0,
+      "step": 6900
+    },
+    {
+      "entropy": 5.30065131187439,
+      "epoch": 5.72079536039768,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00025114213018677004,
+      "loss": 4.7826,
+      "mean_token_accuracy": 0.21398544907569886,
+      "num_tokens": 12587604.0,
+      "step": 6905
+    },
+    {
+      "entropy": 5.328654146194458,
+      "epoch": 5.7249378624689315,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002508243996707305,
+      "loss": 4.7982,
+      "mean_token_accuracy": 0.2033779114484787,
+      "num_tokens": 12596620.0,
+      "step": 6910
+    },
+    {
+      "entropy": 5.252767944335938,
+      "epoch": 5.729080364540183,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00025050671791951887,
+      "loss": 4.7682,
+      "mean_token_accuracy": 0.20568756759166718,
+      "num_tokens": 12605452.0,
+      "step": 6915
+    },
+    {
+      "entropy": 5.195128536224365,
+      "epoch": 5.733222866611433,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002501890855739337,
+      "loss": 4.6654,
+      "mean_token_accuracy": 0.22127037048339843,
+      "num_tokens": 12614009.0,
+      "step": 6920
+    },
+    {
+      "entropy": 5.287421989440918,
+      "epoch": 5.737365368682684,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00024987150327467414,
+      "loss": 4.8201,
+      "mean_token_accuracy": 0.2010796323418617,
+      "num_tokens": 12624135.0,
+      "step": 6925
+    },
+    {
+      "entropy": 5.221401596069336,
+      "epoch": 5.741507870753935,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024955397166233855,
+      "loss": 4.6474,
+      "mean_token_accuracy": 0.22327282428741455,
+      "num_tokens": 12632870.0,
+      "step": 6930
+    },
+    {
+      "entropy": 5.304728364944458,
+      "epoch": 5.745650372825186,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024923649137742276,
+      "loss": 4.8549,
+      "mean_token_accuracy": 0.1950896918773651,
+      "num_tokens": 12643606.0,
+      "step": 6935
+    },
+    {
+      "entropy": 5.385456705093384,
+      "epoch": 5.749792874896437,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0002489190630603194,
+      "loss": 4.8834,
+      "mean_token_accuracy": 0.20502226054668427,
+      "num_tokens": 12652926.0,
+      "step": 6940
+    },
+    {
+      "entropy": 5.331468009948731,
+      "epoch": 5.753935376967688,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002486016873513159,
+      "loss": 4.8219,
+      "mean_token_accuracy": 0.20297979861497878,
+      "num_tokens": 12661841.0,
+      "step": 6945
+    },
+    {
+      "entropy": 5.257536315917969,
+      "epoch": 5.7580778790389395,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002482843648905937,
+      "loss": 4.7409,
+      "mean_token_accuracy": 0.2069641500711441,
+      "num_tokens": 12670527.0,
+      "step": 6950
+    },
+    {
+      "entropy": 5.216205167770386,
+      "epoch": 5.762220381110191,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002479670963182271,
+      "loss": 4.7365,
+      "mean_token_accuracy": 0.19854751229286194,
+      "num_tokens": 12680346.0,
+      "step": 6955
+    },
+    {
+      "entropy": 5.315979433059693,
+      "epoch": 5.766362883181442,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00024764988227418114,
+      "loss": 4.8273,
+      "mean_token_accuracy": 0.20946504771709443,
+      "num_tokens": 12691088.0,
+      "step": 6960
+    },
+    {
+      "entropy": 5.343829536437989,
+      "epoch": 5.770505385252693,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002473327233983116,
+      "loss": 4.7894,
+      "mean_token_accuracy": 0.20746862143278122,
+      "num_tokens": 12700296.0,
+      "step": 6965
+    },
+    {
+      "entropy": 5.241484355926514,
+      "epoch": 5.774647887323944,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002470156203303622,
+      "loss": 4.7882,
+      "mean_token_accuracy": 0.20888512581586838,
+      "num_tokens": 12709595.0,
+      "step": 6970
+    },
+    {
+      "entropy": 5.276812028884888,
+      "epoch": 5.778790389395195,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0002466985737099649,
+      "loss": 4.838,
+      "mean_token_accuracy": 0.20352406352758406,
+      "num_tokens": 12719052.0,
+      "step": 6975
+    },
+    {
+      "entropy": 5.237840700149536,
+      "epoch": 5.782932891466446,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002463815841766371,
+      "loss": 4.7033,
+      "mean_token_accuracy": 0.21847177892923356,
+      "num_tokens": 12727287.0,
+      "step": 6980
+    },
+    {
+      "entropy": 5.252689790725708,
+      "epoch": 5.787075393537696,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002460646523697813,
+      "loss": 4.7649,
+      "mean_token_accuracy": 0.2055829644203186,
+      "num_tokens": 12736511.0,
+      "step": 6985
+    },
+    {
+      "entropy": 5.295902395248413,
+      "epoch": 5.7912178956089475,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00024574777892868386,
+      "loss": 4.7758,
+      "mean_token_accuracy": 0.20809024274349214,
+      "num_tokens": 12745597.0,
+      "step": 6990
+    },
+    {
+      "entropy": 5.260382986068725,
+      "epoch": 5.795360397680199,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00024543096449251286,
+      "loss": 4.6362,
+      "mean_token_accuracy": 0.221256822347641,
+      "num_tokens": 12753492.0,
+      "step": 6995
+    },
+    {
+      "entropy": 5.3082959175109865,
+      "epoch": 5.79950289975145,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002451142097003177,
+      "loss": 4.7765,
+      "mean_token_accuracy": 0.21173641979694366,
+      "num_tokens": 12761999.0,
+      "step": 7000
+    },
+    {
+      "epoch": 5.79950289975145,
+      "eval_entropy": 5.159527343473455,
+      "eval_loss": 5.7473931312561035,
+      "eval_mean_token_accuracy": 0.1656088415525361,
+      "eval_num_tokens": 12761999.0,
+      "eval_runtime": 2.7553,
+      "eval_samples_per_second": 1359.941,
+      "eval_steps_per_second": 170.219,
+      "step": 7000
+    },
+    {
+      "entropy": 5.250266122817993,
+      "epoch": 5.803645401822701,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002447975151910276,
+      "loss": 4.6884,
+      "mean_token_accuracy": 0.20662099421024321,
+      "num_tokens": 12770922.0,
+      "step": 7005
+    },
+    {
+      "entropy": 5.225958204269409,
+      "epoch": 5.807787903893952,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00024448088160344974,
+      "loss": 4.72,
+      "mean_token_accuracy": 0.2077726110816002,
+      "num_tokens": 12779539.0,
+      "step": 7010
+    },
+    {
+      "entropy": 5.266984176635742,
+      "epoch": 5.811930405965203,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002441643095762688,
+      "loss": 4.7539,
+      "mean_token_accuracy": 0.20866499096155167,
+      "num_tokens": 12788121.0,
+      "step": 7015
+    },
+    {
+      "entropy": 5.206212854385376,
+      "epoch": 5.816072908036454,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000243847799748045,
+      "loss": 4.6301,
+      "mean_token_accuracy": 0.21100328713655472,
+      "num_tokens": 12797390.0,
+      "step": 7020
+    },
+    {
+      "entropy": 5.249676036834717,
+      "epoch": 5.820215410107705,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00024353135275721356,
+      "loss": 4.8644,
+      "mean_token_accuracy": 0.19687919616699218,
+      "num_tokens": 12807876.0,
+      "step": 7025
+    },
+    {
+      "entropy": 5.184282016754151,
+      "epoch": 5.824357912178956,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00024321496924208235,
+      "loss": 4.6805,
+      "mean_token_accuracy": 0.2075910523533821,
+      "num_tokens": 12816496.0,
+      "step": 7030
+    },
+    {
+      "entropy": 5.282375478744507,
+      "epoch": 5.8285004142502075,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00024289864984083166,
+      "loss": 4.7571,
+      "mean_token_accuracy": 0.21421819925308228,
+      "num_tokens": 12825925.0,
+      "step": 7035
+    },
+    {
+      "entropy": 5.330373096466064,
+      "epoch": 5.832642916321458,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002425823951915122,
+      "loss": 4.776,
+      "mean_token_accuracy": 0.20406203866004943,
+      "num_tokens": 12835479.0,
+      "step": 7040
+    },
+    {
+      "entropy": 5.227119112014771,
+      "epoch": 5.836785418392709,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002422662059320442,
+      "loss": 4.6764,
+      "mean_token_accuracy": 0.2194245144724846,
+      "num_tokens": 12844024.0,
+      "step": 7045
+    },
+    {
+      "entropy": 5.242313861846924,
+      "epoch": 5.84092792046396,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00024195008270021595,
+      "loss": 4.6767,
+      "mean_token_accuracy": 0.21089302152395248,
+      "num_tokens": 12852673.0,
+      "step": 7050
+    },
+    {
+      "entropy": 5.168107366561889,
+      "epoch": 5.845070422535211,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00024163402613368252,
+      "loss": 4.7042,
+      "mean_token_accuracy": 0.21519682556390762,
+      "num_tokens": 12861191.0,
+      "step": 7055
+    },
+    {
+      "entropy": 5.273849678039551,
+      "epoch": 5.849212924606462,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00024131803686996457,
+      "loss": 4.8483,
+      "mean_token_accuracy": 0.20502860397100447,
+      "num_tokens": 12870874.0,
+      "step": 7060
+    },
+    {
+      "entropy": 5.314899635314942,
+      "epoch": 5.853355426677713,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00024100211554644696,
+      "loss": 4.7741,
+      "mean_token_accuracy": 0.21026002764701843,
+      "num_tokens": 12879896.0,
+      "step": 7065
+    },
+    {
+      "entropy": 5.297897291183472,
+      "epoch": 5.857497928748964,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00024068626280037753,
+      "loss": 4.786,
+      "mean_token_accuracy": 0.20807335823774337,
+      "num_tokens": 12888665.0,
+      "step": 7070
+    },
+    {
+      "entropy": 5.261636590957641,
+      "epoch": 5.8616404308202155,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00024037047926886578,
+      "loss": 4.7416,
+      "mean_token_accuracy": 0.20277187824249268,
+      "num_tokens": 12897477.0,
+      "step": 7075
+    },
+    {
+      "entropy": 5.251101160049439,
+      "epoch": 5.865782932891467,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024005476558888172,
+      "loss": 4.794,
+      "mean_token_accuracy": 0.2007831260561943,
+      "num_tokens": 12905934.0,
+      "step": 7080
+    },
+    {
+      "entropy": 5.255609798431396,
+      "epoch": 5.869925434962718,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002397391223972541,
+      "loss": 4.7929,
+      "mean_token_accuracy": 0.20374300181865693,
+      "num_tokens": 12915092.0,
+      "step": 7085
+    },
+    {
+      "entropy": 5.2630064487457275,
+      "epoch": 5.874067937033969,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00023942355033066993,
+      "loss": 4.8721,
+      "mean_token_accuracy": 0.19899580031633377,
+      "num_tokens": 12924775.0,
+      "step": 7090
+    },
+    {
+      "entropy": 5.329388093948364,
+      "epoch": 5.87821043910522,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00023910805002567244,
+      "loss": 4.7789,
+      "mean_token_accuracy": 0.2048063576221466,
+      "num_tokens": 12933677.0,
+      "step": 7095
+    },
+    {
+      "entropy": 5.261180973052978,
+      "epoch": 5.882352941176471,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002387926221186603,
+      "loss": 4.8017,
+      "mean_token_accuracy": 0.2079474300146103,
+      "num_tokens": 12942416.0,
+      "step": 7100
+    },
+    {
+      "entropy": 5.231311798095703,
+      "epoch": 5.886495443247721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00023847726724588608,
+      "loss": 4.7718,
+      "mean_token_accuracy": 0.21066755801439285,
+      "num_tokens": 12952284.0,
+      "step": 7105
+    },
+    {
+      "entropy": 5.278716087341309,
+      "epoch": 5.890637945318972,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002381619860434549,
+      "loss": 4.8123,
+      "mean_token_accuracy": 0.19911128133535386,
+      "num_tokens": 12960694.0,
+      "step": 7110
+    },
+    {
+      "entropy": 5.215971040725708,
+      "epoch": 5.894780447390223,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00023784677914732356,
+      "loss": 4.727,
+      "mean_token_accuracy": 0.20931341648101806,
+      "num_tokens": 12969138.0,
+      "step": 7115
+    },
+    {
+      "entropy": 5.292342042922973,
+      "epoch": 5.8989229494614746,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00023753164719329868,
+      "loss": 4.766,
+      "mean_token_accuracy": 0.20421497970819474,
+      "num_tokens": 12978518.0,
+      "step": 7120
+    },
+    {
+      "entropy": 5.309631299972534,
+      "epoch": 5.903065451532726,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00023721659081703595,
+      "loss": 4.7856,
+      "mean_token_accuracy": 0.2164353221654892,
+      "num_tokens": 12987506.0,
+      "step": 7125
+    },
+    {
+      "entropy": 5.2704308986663815,
+      "epoch": 5.907207953603977,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023690161065403838,
+      "loss": 4.7667,
+      "mean_token_accuracy": 0.20384967178106309,
+      "num_tokens": 12996259.0,
+      "step": 7130
+    },
+    {
+      "entropy": 5.284243488311768,
+      "epoch": 5.911350455675228,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002365867073396555,
+      "loss": 4.7914,
+      "mean_token_accuracy": 0.20621232688426971,
+      "num_tokens": 13005430.0,
+      "step": 7135
+    },
+    {
+      "entropy": 5.2192955493927,
+      "epoch": 5.915492957746479,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023627188150908174,
+      "loss": 4.7414,
+      "mean_token_accuracy": 0.21523537784814833,
+      "num_tokens": 13014915.0,
+      "step": 7140
+    },
+    {
+      "entropy": 5.267714023590088,
+      "epoch": 5.91963545981773,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00023595713379735494,
+      "loss": 4.7483,
+      "mean_token_accuracy": 0.20747244358062744,
+      "num_tokens": 13023471.0,
+      "step": 7145
+    },
+    {
+      "entropy": 5.29262957572937,
+      "epoch": 5.923777961888981,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00023564246483935602,
+      "loss": 4.7364,
+      "mean_token_accuracy": 0.20276205390691757,
+      "num_tokens": 13033270.0,
+      "step": 7150
+    },
+    {
+      "entropy": 5.26424388885498,
+      "epoch": 5.927920463960232,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002353278752698063,
+      "loss": 4.7029,
+      "mean_token_accuracy": 0.2120548114180565,
+      "num_tokens": 13043300.0,
+      "step": 7155
+    },
+    {
+      "entropy": 5.261445045471191,
+      "epoch": 5.9320629660314825,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002350133657232676,
+      "loss": 4.7627,
+      "mean_token_accuracy": 0.20174376368522645,
+      "num_tokens": 13052152.0,
+      "step": 7160
+    },
+    {
+      "entropy": 5.286171960830688,
+      "epoch": 5.9362054681027345,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002346989368341399,
+      "loss": 4.8033,
+      "mean_token_accuracy": 0.20869386494159697,
+      "num_tokens": 13061704.0,
+      "step": 7165
+    },
+    {
+      "entropy": 5.280704736709595,
+      "epoch": 5.940347970173985,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023438458923666057,
+      "loss": 4.7209,
+      "mean_token_accuracy": 0.2152332365512848,
+      "num_tokens": 13071055.0,
+      "step": 7170
+    },
+    {
+      "entropy": 5.268754768371582,
+      "epoch": 5.944490472245236,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002340703235649032,
+      "loss": 4.8331,
+      "mean_token_accuracy": 0.1926100879907608,
+      "num_tokens": 13080023.0,
+      "step": 7175
+    },
+    {
+      "entropy": 5.263068819046021,
+      "epoch": 5.948632974316487,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00023375614045277593,
+      "loss": 4.7536,
+      "mean_token_accuracy": 0.20691772699356079,
+      "num_tokens": 13088690.0,
+      "step": 7180
+    },
+    {
+      "entropy": 5.232177972793579,
+      "epoch": 5.952775476387738,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00023344204053402047,
+      "loss": 4.7377,
+      "mean_token_accuracy": 0.21229761391878127,
+      "num_tokens": 13097116.0,
+      "step": 7185
+    },
+    {
+      "entropy": 5.343814706802368,
+      "epoch": 5.956917978458989,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00023312802444221066,
+      "loss": 4.7995,
+      "mean_token_accuracy": 0.20769918113946914,
+      "num_tokens": 13106463.0,
+      "step": 7190
+    },
+    {
+      "entropy": 5.273978662490845,
+      "epoch": 5.96106048053024,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002328140928107511,
+      "loss": 4.7045,
+      "mean_token_accuracy": 0.21413260698318481,
+      "num_tokens": 13115769.0,
+      "step": 7195
+    },
+    {
+      "entropy": 5.293670988082885,
+      "epoch": 5.965202982601491,
+      "grad_norm": 1.6875,
+      "learning_rate": 0.0002325002462728766,
+      "loss": 4.8058,
+      "mean_token_accuracy": 0.20858496129512788,
+      "num_tokens": 13124928.0,
+      "step": 7200
+    },
+    {
+      "entropy": 5.264481544494629,
+      "epoch": 5.9693454846727425,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00023218648546164945,
+      "loss": 4.7587,
+      "mean_token_accuracy": 0.20816877782344817,
+      "num_tokens": 13134106.0,
+      "step": 7205
+    },
+    {
+      "entropy": 5.401337671279907,
+      "epoch": 5.973487986743994,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002318728110099599,
+      "loss": 4.9463,
+      "mean_token_accuracy": 0.19887659698724747,
+      "num_tokens": 13143019.0,
+      "step": 7210
+    },
+    {
+      "entropy": 5.267350912094116,
+      "epoch": 5.977630488815245,
+      "grad_norm": 1.625,
+      "learning_rate": 0.00023155922355052339,
+      "loss": 4.6633,
+      "mean_token_accuracy": 0.223431359231472,
+      "num_tokens": 13152675.0,
+      "step": 7215
+    },
+    {
+      "entropy": 5.256755113601685,
+      "epoch": 5.981772990886496,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00023124572371588,
+      "loss": 4.6968,
+      "mean_token_accuracy": 0.2141074687242508,
+      "num_tokens": 13161094.0,
+      "step": 7220
+    },
+    {
+      "entropy": 5.22665810585022,
+      "epoch": 5.985915492957746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00023093231213839344,
+      "loss": 4.7801,
+      "mean_token_accuracy": 0.2072029694914818,
+      "num_tokens": 13170858.0,
+      "step": 7225
+    },
+    {
+      "entropy": 5.248539400100708,
+      "epoch": 5.990057995028997,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002306189894502488,
+      "loss": 4.8402,
+      "mean_token_accuracy": 0.1976972222328186,
+      "num_tokens": 13179668.0,
+      "step": 7230
+    },
+    {
+      "entropy": 5.278863763809204,
+      "epoch": 5.994200497100248,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00023030575628345246,
+      "loss": 4.7021,
+      "mean_token_accuracy": 0.2132765233516693,
+      "num_tokens": 13188312.0,
+      "step": 7235
+    },
+    {
+      "entropy": 5.254744529724121,
+      "epoch": 5.998342999171499,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022999261326982985,
+      "loss": 4.7474,
+      "mean_token_accuracy": 0.20551027208566666,
+      "num_tokens": 13196989.0,
+      "step": 7240
+    },
+    {
+      "entropy": 5.215828323364258,
+      "epoch": 6.0024855012427505,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00022967956104102445,
+      "loss": 4.6371,
+      "mean_token_accuracy": 0.21983437091112137,
+      "num_tokens": 13205830.0,
+      "step": 7245
+    },
+    {
+      "entropy": 5.325025272369385,
+      "epoch": 6.006628003314002,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00022936660022849714,
+      "loss": 4.5948,
+      "mean_token_accuracy": 0.22821232080459594,
+      "num_tokens": 13214711.0,
+      "step": 7250
+    },
+    {
+      "entropy": 5.262428140640258,
+      "epoch": 6.010770505385253,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022905373146352382,
+      "loss": 4.6602,
+      "mean_token_accuracy": 0.21241429150104524,
+      "num_tokens": 13223736.0,
+      "step": 7255
+    },
+    {
+      "entropy": 5.257147979736328,
+      "epoch": 6.014913007456504,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002287409553771952,
+      "loss": 4.556,
+      "mean_token_accuracy": 0.22737590819597245,
+      "num_tokens": 13232666.0,
+      "step": 7260
+    },
+    {
+      "entropy": 5.291457891464233,
+      "epoch": 6.019055509527755,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00022842827260041455,
+      "loss": 4.5848,
+      "mean_token_accuracy": 0.21761821508407592,
+      "num_tokens": 13241770.0,
+      "step": 7265
+    },
+    {
+      "entropy": 5.261249971389771,
+      "epoch": 6.023198011599006,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00022811568376389745,
+      "loss": 4.5326,
+      "mean_token_accuracy": 0.22425681203603745,
+      "num_tokens": 13250475.0,
+      "step": 7270
+    },
+    {
+      "entropy": 5.233007001876831,
+      "epoch": 6.027340513670257,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00022780318949816963,
+      "loss": 4.5183,
+      "mean_token_accuracy": 0.22254440933465958,
+      "num_tokens": 13259587.0,
+      "step": 7275
+    },
+    {
+      "entropy": 5.216541528701782,
+      "epoch": 6.031483015741508,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00022749079043356623,
+      "loss": 4.5404,
+      "mean_token_accuracy": 0.23734405487775803,
+      "num_tokens": 13269681.0,
+      "step": 7280
+    },
+    {
+      "entropy": 5.211581516265869,
+      "epoch": 6.0356255178127585,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00022717848720023022,
+      "loss": 4.5539,
+      "mean_token_accuracy": 0.2277751386165619,
+      "num_tokens": 13278186.0,
+      "step": 7285
+    },
+    {
+      "entropy": 5.25051851272583,
+      "epoch": 6.03976801988401,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022686628042811142,
+      "loss": 4.6462,
+      "mean_token_accuracy": 0.21404165476560594,
+      "num_tokens": 13287194.0,
+      "step": 7290
+    },
+    {
+      "entropy": 5.334251356124878,
+      "epoch": 6.043910521955261,
+      "grad_norm": 1.375,
+      "learning_rate": 0.000226554170746965,
+      "loss": 4.6707,
+      "mean_token_accuracy": 0.21294027268886567,
+      "num_tokens": 13296774.0,
+      "step": 7295
+    },
+    {
+      "entropy": 5.338882112503052,
+      "epoch": 6.048053024026512,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00022624215878635023,
+      "loss": 4.5887,
+      "mean_token_accuracy": 0.21931985318660735,
+      "num_tokens": 13306368.0,
+      "step": 7300
+    },
+    {
+      "entropy": 5.310757160186768,
+      "epoch": 6.052195526097763,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00022593024517562945,
+      "loss": 4.5551,
+      "mean_token_accuracy": 0.22974174320697785,
+      "num_tokens": 13315393.0,
+      "step": 7305
+    },
+    {
+      "entropy": 5.216650152206421,
+      "epoch": 6.056338028169014,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022561843054396636,
+      "loss": 4.5496,
+      "mean_token_accuracy": 0.22554152607917785,
+      "num_tokens": 13324384.0,
+      "step": 7310
+    },
+    {
+      "entropy": 5.265720653533935,
+      "epoch": 6.060480530240265,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00022530671552032521,
+      "loss": 4.6095,
+      "mean_token_accuracy": 0.2231447860598564,
+      "num_tokens": 13333191.0,
+      "step": 7315
+    },
+    {
+      "entropy": 5.269006586074829,
+      "epoch": 6.064623032311516,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002249951007334693,
+      "loss": 4.6016,
+      "mean_token_accuracy": 0.21682012677192689,
+      "num_tokens": 13342911.0,
+      "step": 7320
+    },
+    {
+      "entropy": 5.313802003860474,
+      "epoch": 6.068765534382767,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00022468358681195966,
+      "loss": 4.5911,
+      "mean_token_accuracy": 0.2220294862985611,
+      "num_tokens": 13352464.0,
+      "step": 7325
+    },
+    {
+      "entropy": 5.279155349731445,
+      "epoch": 6.072908036454018,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00022437217438415393,
+      "loss": 4.5871,
+      "mean_token_accuracy": 0.22435862571001053,
+      "num_tokens": 13361812.0,
+      "step": 7330
+    },
+    {
+      "entropy": 5.328032398223877,
+      "epoch": 6.0770505385252696,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00022406086407820503,
+      "loss": 4.6541,
+      "mean_token_accuracy": 0.21680645495653153,
+      "num_tokens": 13372080.0,
+      "step": 7335
+    },
+    {
+      "entropy": 5.283897733688354,
+      "epoch": 6.081193040596521,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022374965652205975,
+      "loss": 4.6976,
+      "mean_token_accuracy": 0.20982298403978347,
+      "num_tokens": 13380897.0,
+      "step": 7340
+    },
+    {
+      "entropy": 5.338993167877197,
+      "epoch": 6.085335542667772,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022343855234345796,
+      "loss": 4.6891,
+      "mean_token_accuracy": 0.21388355493545533,
+      "num_tokens": 13389885.0,
+      "step": 7345
+    },
+    {
+      "entropy": 5.288727903366089,
+      "epoch": 6.089478044739022,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00022312755216993065,
+      "loss": 4.6211,
+      "mean_token_accuracy": 0.21839348524808883,
+      "num_tokens": 13399734.0,
+      "step": 7350
+    },
+    {
+      "entropy": 5.224732303619385,
+      "epoch": 6.093620546810273,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00022281665662879903,
+      "loss": 4.5653,
+      "mean_token_accuracy": 0.22080505937337874,
+      "num_tokens": 13408641.0,
+      "step": 7355
+    },
+    {
+      "entropy": 5.2608020305633545,
+      "epoch": 6.097763048881524,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00022250586634717362,
+      "loss": 4.6026,
+      "mean_token_accuracy": 0.21388103663921357,
+      "num_tokens": 13418585.0,
+      "step": 7360
+    },
+    {
+      "entropy": 5.244136095046997,
+      "epoch": 6.101905550952775,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00022219518195195216,
+      "loss": 4.5367,
+      "mean_token_accuracy": 0.22432616204023362,
+      "num_tokens": 13427897.0,
+      "step": 7365
+    },
+    {
+      "entropy": 5.131761312484741,
+      "epoch": 6.106048053024026,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00022188460406981925,
+      "loss": 4.4993,
+      "mean_token_accuracy": 0.22558098286390305,
+      "num_tokens": 13437311.0,
+      "step": 7370
+    },
+    {
+      "entropy": 5.284880685806274,
+      "epoch": 6.1101905550952775,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00022157413332724436,
+      "loss": 4.5608,
+      "mean_token_accuracy": 0.22710221409797668,
+      "num_tokens": 13446359.0,
+      "step": 7375
+    },
+    {
+      "entropy": 5.326997709274292,
+      "epoch": 6.114333057166529,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00022126377035048072,
+      "loss": 4.6056,
+      "mean_token_accuracy": 0.22011455297470092,
+      "num_tokens": 13455302.0,
+      "step": 7380
+    },
+    {
+      "entropy": 5.365768575668335,
+      "epoch": 6.11847555923778,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0002209535157655646,
+      "loss": 4.6937,
+      "mean_token_accuracy": 0.21688085198402404,
+      "num_tokens": 13466391.0,
+      "step": 7385
+    },
+    {
+      "entropy": 5.246037006378174,
+      "epoch": 6.122618061309031,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00022064337019831322,
+      "loss": 4.547,
+      "mean_token_accuracy": 0.22545033246278762,
+      "num_tokens": 13476130.0,
+      "step": 7390
+    },
+    {
+      "entropy": 5.183640670776367,
+      "epoch": 6.126760563380282,
+      "grad_norm": 1.6171875,
+      "learning_rate": 0.00022033333427432422,
+      "loss": 4.5326,
+      "mean_token_accuracy": 0.22769198417663575,
+      "num_tokens": 13485105.0,
+      "step": 7395
+    },
+    {
+      "entropy": 5.284799098968506,
+      "epoch": 6.130903065451533,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002200234086189738,
+      "loss": 4.5988,
+      "mean_token_accuracy": 0.21623703986406326,
+      "num_tokens": 13494914.0,
+      "step": 7400
+    },
+    {
+      "entropy": 5.291166830062866,
+      "epoch": 6.135045567522784,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00021971359385741608,
+      "loss": 4.6312,
+      "mean_token_accuracy": 0.21725507229566574,
+      "num_tokens": 13504293.0,
+      "step": 7405
+    },
+    {
+      "entropy": 5.350364637374878,
+      "epoch": 6.139188069594034,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00021940389061458115,
+      "loss": 4.6935,
+      "mean_token_accuracy": 0.22431259900331496,
+      "num_tokens": 13513972.0,
+      "step": 7410
+    },
+    {
+      "entropy": 5.278038835525512,
+      "epoch": 6.1433305716652855,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002190942995151743,
+      "loss": 4.6089,
+      "mean_token_accuracy": 0.2185722753405571,
+      "num_tokens": 13522508.0,
+      "step": 7415
+    },
+    {
+      "entropy": 5.296834516525268,
+      "epoch": 6.147473073736537,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0002187848211836746,
+      "loss": 4.53,
+      "mean_token_accuracy": 0.22915603816509247,
+      "num_tokens": 13531235.0,
+      "step": 7420
+    },
+    {
+      "entropy": 5.256722116470337,
+      "epoch": 6.151615575807788,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002184754562443337,
+      "loss": 4.5707,
+      "mean_token_accuracy": 0.22529171109199525,
+      "num_tokens": 13541023.0,
+      "step": 7425
+    },
+    {
+      "entropy": 5.217341756820678,
+      "epoch": 6.155758077879039,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00021816620532117448,
+      "loss": 4.5852,
+      "mean_token_accuracy": 0.2248647004365921,
+      "num_tokens": 13550622.0,
+      "step": 7430
+    },
+    {
+      "entropy": 5.230591440200806,
+      "epoch": 6.15990057995029,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002178570690379899,
+      "loss": 4.6031,
+      "mean_token_accuracy": 0.21641309708356857,
+      "num_tokens": 13559423.0,
+      "step": 7435
+    },
+    {
+      "entropy": 5.235513544082641,
+      "epoch": 6.164043082021541,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00021754804801834144,
+      "loss": 4.5917,
+      "mean_token_accuracy": 0.21699417978525162,
+      "num_tokens": 13569306.0,
+      "step": 7440
+    },
+    {
+      "entropy": 5.228752660751343,
+      "epoch": 6.168185584092792,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0002172391428855585,
+      "loss": 4.5366,
+      "mean_token_accuracy": 0.22735673934221268,
+      "num_tokens": 13578367.0,
+      "step": 7445
+    },
+    {
+      "entropy": 5.265543508529663,
+      "epoch": 6.172328086164043,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00021693035426273633,
+      "loss": 4.5986,
+      "mean_token_accuracy": 0.21967096477746964,
+      "num_tokens": 13586930.0,
+      "step": 7450
+    },
+    {
+      "entropy": 5.246473407745361,
+      "epoch": 6.176470588235294,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.00021662168277273547,
+      "loss": 4.5681,
+      "mean_token_accuracy": 0.22939085811376572,
+      "num_tokens": 13595891.0,
+      "step": 7455
+    },
+    {
+      "entropy": 5.319870328903198,
+      "epoch": 6.1806130903065455,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002163131290381799,
+      "loss": 4.6599,
+      "mean_token_accuracy": 0.20967274755239487,
+      "num_tokens": 13605786.0,
+      "step": 7460
+    },
+    {
+      "entropy": 5.238808870315552,
+      "epoch": 6.184755592377797,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00021600469368145624,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.2280669927597046,
+      "num_tokens": 13614561.0,
+      "step": 7465
+    },
+    {
+      "entropy": 5.226732301712036,
+      "epoch": 6.188898094449047,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002156963773247124,
+      "loss": 4.5554,
+      "mean_token_accuracy": 0.22617974877357483,
+      "num_tokens": 13622853.0,
+      "step": 7470
+    },
+    {
+      "entropy": 5.20526967048645,
+      "epoch": 6.193040596520298,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002153881805898561,
+      "loss": 4.5398,
+      "mean_token_accuracy": 0.22647101283073426,
+      "num_tokens": 13631709.0,
+      "step": 7475
+    },
+    {
+      "entropy": 5.293169021606445,
+      "epoch": 6.197183098591549,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.0002150801040985539,
+      "loss": 4.63,
+      "mean_token_accuracy": 0.21966254264116286,
+      "num_tokens": 13640854.0,
+      "step": 7480
+    },
+    {
+      "entropy": 5.218788433074951,
+      "epoch": 6.2013256006628,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00021477214847222958,
+      "loss": 4.5758,
+      "mean_token_accuracy": 0.21710532903671265,
+      "num_tokens": 13649318.0,
+      "step": 7485
+    },
+    {
+      "entropy": 5.315838146209717,
+      "epoch": 6.205468102734051,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00021446431433206348,
+      "loss": 4.6349,
+      "mean_token_accuracy": 0.22002605497837066,
+      "num_tokens": 13658738.0,
+      "step": 7490
+    },
+    {
+      "entropy": 5.187892484664917,
+      "epoch": 6.209610604805302,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002141566022989907,
+      "loss": 4.5484,
+      "mean_token_accuracy": 0.2262681856751442,
+      "num_tokens": 13667315.0,
+      "step": 7495
+    },
+    {
+      "entropy": 5.282585573196411,
+      "epoch": 6.2137531068765535,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002138490129936998,
+      "loss": 4.6721,
+      "mean_token_accuracy": 0.21348128467798233,
+      "num_tokens": 13676665.0,
+      "step": 7500
+    },
+    {
+      "epoch": 6.2137531068765535,
+      "eval_entropy": 5.127327098521088,
+      "eval_loss": 5.749592304229736,
+      "eval_mean_token_accuracy": 0.16626126474853772,
+      "eval_num_tokens": 13676665.0,
+      "eval_runtime": 2.7442,
+      "eval_samples_per_second": 1365.431,
+      "eval_steps_per_second": 170.907,
+      "step": 7500
+    },
+    {
+      "entropy": 5.220932197570801,
+      "epoch": 6.217895608947805,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0002135415470366323,
+      "loss": 4.6065,
+      "mean_token_accuracy": 0.21874047368764876,
+      "num_tokens": 13685774.0,
+      "step": 7505
+    },
+    {
+      "entropy": 5.261872863769531,
+      "epoch": 6.222038111019056,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00021323420504798047,
+      "loss": 4.6324,
+      "mean_token_accuracy": 0.21970156878232955,
+      "num_tokens": 13695700.0,
+      "step": 7510
+    },
+    {
+      "entropy": 5.301397752761841,
+      "epoch": 6.226180613090307,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021292698764768675,
+      "loss": 4.6432,
+      "mean_token_accuracy": 0.21851994693279267,
+      "num_tokens": 13704675.0,
+      "step": 7515
+    },
+    {
+      "entropy": 5.2542356014251705,
+      "epoch": 6.230323115161558,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00021261989545544218,
+      "loss": 4.6623,
+      "mean_token_accuracy": 0.22553315609693528,
+      "num_tokens": 13714562.0,
+      "step": 7520
+    },
+    {
+      "entropy": 5.318307209014892,
+      "epoch": 6.234465617232809,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00021231292909068534,
+      "loss": 4.6448,
+      "mean_token_accuracy": 0.22140212655067443,
+      "num_tokens": 13723917.0,
+      "step": 7525
+    },
+    {
+      "entropy": 5.254926586151123,
+      "epoch": 6.238608119304059,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00021200608917260082,
+      "loss": 4.5832,
+      "mean_token_accuracy": 0.22523251920938492,
+      "num_tokens": 13732482.0,
+      "step": 7530
+    },
+    {
+      "entropy": 5.272995328903198,
+      "epoch": 6.24275062137531,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00021169937632011838,
+      "loss": 4.6548,
+      "mean_token_accuracy": 0.2194363296031952,
+      "num_tokens": 13742110.0,
+      "step": 7535
+    },
+    {
+      "entropy": 5.238206005096435,
+      "epoch": 6.2468931234465614,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00021139279115191123,
+      "loss": 4.574,
+      "mean_token_accuracy": 0.21389349400997162,
+      "num_tokens": 13750501.0,
+      "step": 7540
+    },
+    {
+      "entropy": 5.236702632904053,
+      "epoch": 6.2510356255178126,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00021108633428639534,
+      "loss": 4.545,
+      "mean_token_accuracy": 0.22685909420251846,
+      "num_tokens": 13759786.0,
+      "step": 7545
+    },
+    {
+      "entropy": 5.279770469665527,
+      "epoch": 6.255178127589064,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002107800063417275,
+      "loss": 4.6241,
+      "mean_token_accuracy": 0.21795655339956282,
+      "num_tokens": 13768476.0,
+      "step": 7550
+    },
+    {
+      "entropy": 5.29005618095398,
+      "epoch": 6.259320629660315,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002104738079358048,
+      "loss": 4.6586,
+      "mean_token_accuracy": 0.20849181562662125,
+      "num_tokens": 13778721.0,
+      "step": 7555
+    },
+    {
+      "entropy": 5.281201648712158,
+      "epoch": 6.263463131731566,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002101677396862628,
+      "loss": 4.6196,
+      "mean_token_accuracy": 0.22399465888738632,
+      "num_tokens": 13787108.0,
+      "step": 7560
+    },
+    {
+      "entropy": 5.1881067752838135,
+      "epoch": 6.267605633802817,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00020986180221047463,
+      "loss": 4.5398,
+      "mean_token_accuracy": 0.23230253010988236,
+      "num_tokens": 13795021.0,
+      "step": 7565
+    },
+    {
+      "entropy": 5.190041732788086,
+      "epoch": 6.271748135874068,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00020955599612554966,
+      "loss": 4.5887,
+      "mean_token_accuracy": 0.2193624496459961,
+      "num_tokens": 13804750.0,
+      "step": 7570
+    },
+    {
+      "entropy": 5.2463373184204105,
+      "epoch": 6.275890637945319,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00020925032204833206,
+      "loss": 4.5784,
+      "mean_token_accuracy": 0.22109659761190414,
+      "num_tokens": 13813910.0,
+      "step": 7575
+    },
+    {
+      "entropy": 5.329188394546509,
+      "epoch": 6.28003314001657,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00020894478059539995,
+      "loss": 4.5427,
+      "mean_token_accuracy": 0.2241484045982361,
+      "num_tokens": 13822832.0,
+      "step": 7580
+    },
+    {
+      "entropy": 5.204854440689087,
+      "epoch": 6.284175642087821,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00020863937238306375,
+      "loss": 4.5541,
+      "mean_token_accuracy": 0.2280479699373245,
+      "num_tokens": 13831951.0,
+      "step": 7585
+    },
+    {
+      "entropy": 5.172011041641236,
+      "epoch": 6.2883181441590725,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00020833409802736535,
+      "loss": 4.524,
+      "mean_token_accuracy": 0.23316972702741623,
+      "num_tokens": 13840422.0,
+      "step": 7590
+    },
+    {
+      "entropy": 5.306167030334473,
+      "epoch": 6.292460646230323,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00020802895814407636,
+      "loss": 4.6365,
+      "mean_token_accuracy": 0.22030848115682602,
+      "num_tokens": 13850903.0,
+      "step": 7595
+    },
+    {
+      "entropy": 5.244341468811035,
+      "epoch": 6.296603148301574,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002077239533486972,
+      "loss": 4.6811,
+      "mean_token_accuracy": 0.20490736216306688,
+      "num_tokens": 13859972.0,
+      "step": 7600
+    },
+    {
+      "entropy": 5.235301160812378,
+      "epoch": 6.300745650372825,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00020741908425645606,
+      "loss": 4.658,
+      "mean_token_accuracy": 0.21515794545412065,
+      "num_tokens": 13868980.0,
+      "step": 7605
+    },
+    {
+      "entropy": 5.259301996231079,
+      "epoch": 6.304888152444076,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00020711435148230707,
+      "loss": 4.5874,
+      "mean_token_accuracy": 0.21832506507635116,
+      "num_tokens": 13877901.0,
+      "step": 7610
+    },
+    {
+      "entropy": 5.245576858520508,
+      "epoch": 6.309030654515327,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00020680975564092968,
+      "loss": 4.5697,
+      "mean_token_accuracy": 0.21962837278842925,
+      "num_tokens": 13887081.0,
+      "step": 7615
+    },
+    {
+      "entropy": 5.283494472503662,
+      "epoch": 6.313173156586578,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00020650529734672686,
+      "loss": 4.693,
+      "mean_token_accuracy": 0.21509333699941635,
+      "num_tokens": 13896645.0,
+      "step": 7620
+    },
+    {
+      "entropy": 5.340816831588745,
+      "epoch": 6.317315658657829,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00020620097721382424,
+      "loss": 4.6349,
+      "mean_token_accuracy": 0.21796356588602067,
+      "num_tokens": 13905975.0,
+      "step": 7625
+    },
+    {
+      "entropy": 5.3276678085327145,
+      "epoch": 6.3214581607290805,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0002058967958560689,
+      "loss": 4.6067,
+      "mean_token_accuracy": 0.22121513932943343,
+      "num_tokens": 13914605.0,
+      "step": 7630
+    },
+    {
+      "entropy": 5.256007862091065,
+      "epoch": 6.325600662800332,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00020559275388702775,
+      "loss": 4.5442,
+      "mean_token_accuracy": 0.23139581084251404,
+      "num_tokens": 13924592.0,
+      "step": 7635
+    },
+    {
+      "entropy": 5.187183284759522,
+      "epoch": 6.329743164871583,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00020528885191998682,
+      "loss": 4.5649,
+      "mean_token_accuracy": 0.22332944571971894,
+      "num_tokens": 13933513.0,
+      "step": 7640
+    },
+    {
+      "entropy": 5.1399694919586185,
+      "epoch": 6.333885666942834,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00020498509056794952,
+      "loss": 4.4652,
+      "mean_token_accuracy": 0.23895961940288543,
+      "num_tokens": 13942173.0,
+      "step": 7645
+    },
+    {
+      "entropy": 5.177120351791382,
+      "epoch": 6.338028169014084,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00020468147044363556,
+      "loss": 4.4955,
+      "mean_token_accuracy": 0.22771447747945786,
+      "num_tokens": 13950205.0,
+      "step": 7650
+    },
+    {
+      "entropy": 5.22398190498352,
+      "epoch": 6.342170671085335,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00020437799215948017,
+      "loss": 4.5753,
+      "mean_token_accuracy": 0.22749822586774826,
+      "num_tokens": 13958956.0,
+      "step": 7655
+    },
+    {
+      "entropy": 5.209628582000732,
+      "epoch": 6.346313173156586,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002040746563276319,
+      "loss": 4.5665,
+      "mean_token_accuracy": 0.22033885568380357,
+      "num_tokens": 13967718.0,
+      "step": 7660
+    },
+    {
+      "entropy": 5.235432434082031,
+      "epoch": 6.350455675227837,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00020377146355995257,
+      "loss": 4.6617,
+      "mean_token_accuracy": 0.21480744183063508,
+      "num_tokens": 13976841.0,
+      "step": 7665
+    },
+    {
+      "entropy": 5.287872982025147,
+      "epoch": 6.3545981772990885,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00020346841446801495,
+      "loss": 4.5404,
+      "mean_token_accuracy": 0.22639259397983552,
+      "num_tokens": 13984946.0,
+      "step": 7670
+    },
+    {
+      "entropy": 5.257662773132324,
+      "epoch": 6.35874067937034,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00020316550966310222,
+      "loss": 4.6067,
+      "mean_token_accuracy": 0.21685410737991334,
+      "num_tokens": 13993521.0,
+      "step": 7675
+    },
+    {
+      "entropy": 5.183994293212891,
+      "epoch": 6.362883181441591,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002028627497562065,
+      "loss": 4.5771,
+      "mean_token_accuracy": 0.2181665539741516,
+      "num_tokens": 14002777.0,
+      "step": 7680
+    },
+    {
+      "entropy": 5.246474266052246,
+      "epoch": 6.367025683512842,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00020256013535802748,
+      "loss": 4.6261,
+      "mean_token_accuracy": 0.21209287494421006,
+      "num_tokens": 14012708.0,
+      "step": 7685
+    },
+    {
+      "entropy": 5.28727445602417,
+      "epoch": 6.371168185584093,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002022576670789717,
+      "loss": 4.6394,
+      "mean_token_accuracy": 0.2155505269765854,
+      "num_tokens": 14021088.0,
+      "step": 7690
+    },
+    {
+      "entropy": 5.280440044403076,
+      "epoch": 6.375310687655344,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002019553455291505,
+      "loss": 4.6378,
+      "mean_token_accuracy": 0.21615593284368514,
+      "num_tokens": 14031650.0,
+      "step": 7695
+    },
+    {
+      "entropy": 5.240458631515503,
+      "epoch": 6.379453189726595,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002016531713183797,
+      "loss": 4.6676,
+      "mean_token_accuracy": 0.21988083124160768,
+      "num_tokens": 14040741.0,
+      "step": 7700
+    },
+    {
+      "entropy": 5.242792797088623,
+      "epoch": 6.383595691797846,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00020135114505617752,
+      "loss": 4.6373,
+      "mean_token_accuracy": 0.2093031659722328,
+      "num_tokens": 14049913.0,
+      "step": 7705
+    },
+    {
+      "entropy": 5.277075576782226,
+      "epoch": 6.387738193869097,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00020104926735176393,
+      "loss": 4.5918,
+      "mean_token_accuracy": 0.22735825777053834,
+      "num_tokens": 14059583.0,
+      "step": 7710
+    },
+    {
+      "entropy": 5.327569150924683,
+      "epoch": 6.391880695940348,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00020074753881405949,
+      "loss": 4.5526,
+      "mean_token_accuracy": 0.22584011256694794,
+      "num_tokens": 14067376.0,
+      "step": 7715
+    },
+    {
+      "entropy": 5.247530269622803,
+      "epoch": 6.396023198011599,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002004459600516833,
+      "loss": 4.6272,
+      "mean_token_accuracy": 0.22265007048845292,
+      "num_tokens": 14076415.0,
+      "step": 7720
+    },
+    {
+      "entropy": 5.252097845077515,
+      "epoch": 6.40016570008285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00020014453167295298,
+      "loss": 4.6191,
+      "mean_token_accuracy": 0.21771289706230162,
+      "num_tokens": 14085418.0,
+      "step": 7725
+    },
+    {
+      "entropy": 5.246077394485473,
+      "epoch": 6.404308202154101,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00019984325428588229,
+      "loss": 4.6022,
+      "mean_token_accuracy": 0.22459561228752137,
+      "num_tokens": 14094454.0,
+      "step": 7730
+    },
+    {
+      "entropy": 5.269437408447265,
+      "epoch": 6.408450704225352,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00019954212849818077,
+      "loss": 4.5397,
+      "mean_token_accuracy": 0.23432922810316087,
+      "num_tokens": 14103611.0,
+      "step": 7735
+    },
+    {
+      "entropy": 5.17622013092041,
+      "epoch": 6.412593206296603,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00019924115491725197,
+      "loss": 4.4661,
+      "mean_token_accuracy": 0.23387826085090638,
+      "num_tokens": 14112145.0,
+      "step": 7740
+    },
+    {
+      "entropy": 5.237372732162475,
+      "epoch": 6.416735708367854,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019894033415019253,
+      "loss": 4.6056,
+      "mean_token_accuracy": 0.2221802607178688,
+      "num_tokens": 14121215.0,
+      "step": 7745
+    },
+    {
+      "entropy": 5.171102142333984,
+      "epoch": 6.420878210439105,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019863966680379086,
+      "loss": 4.4967,
+      "mean_token_accuracy": 0.22152459472417832,
+      "num_tokens": 14130106.0,
+      "step": 7750
+    },
+    {
+      "entropy": 5.18139157295227,
+      "epoch": 6.4250207125103564,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0001983391534845258,
+      "loss": 4.5424,
+      "mean_token_accuracy": 0.2322377920150757,
+      "num_tokens": 14139071.0,
+      "step": 7755
+    },
+    {
+      "entropy": 5.224069595336914,
+      "epoch": 6.4291632145816076,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00019803879479856547,
+      "loss": 4.5974,
+      "mean_token_accuracy": 0.21825987547636033,
+      "num_tokens": 14148018.0,
+      "step": 7760
+    },
+    {
+      "entropy": 5.2009124755859375,
+      "epoch": 6.433305716652859,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019773859135176626,
+      "loss": 4.5285,
+      "mean_token_accuracy": 0.21998629420995713,
+      "num_tokens": 14156369.0,
+      "step": 7765
+    },
+    {
+      "entropy": 5.215542888641357,
+      "epoch": 6.43744821872411,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001974385437496713,
+      "loss": 4.6106,
+      "mean_token_accuracy": 0.21984836757183074,
+      "num_tokens": 14165930.0,
+      "step": 7770
+    },
+    {
+      "entropy": 5.2183332443237305,
+      "epoch": 6.44159072079536,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00019713865259750945,
+      "loss": 4.5777,
+      "mean_token_accuracy": 0.228591625392437,
+      "num_tokens": 14175557.0,
+      "step": 7775
+    },
+    {
+      "entropy": 5.288492584228516,
+      "epoch": 6.445733222866611,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019683891850019391,
+      "loss": 4.65,
+      "mean_token_accuracy": 0.2170352444052696,
+      "num_tokens": 14185532.0,
+      "step": 7780
+    },
+    {
+      "entropy": 5.372134733200073,
+      "epoch": 6.449875724937862,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00019653934206232098,
+      "loss": 4.7328,
+      "mean_token_accuracy": 0.21203465312719344,
+      "num_tokens": 14194307.0,
+      "step": 7785
+    },
+    {
+      "entropy": 5.317110586166382,
+      "epoch": 6.454018227009113,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00019623992388816935,
+      "loss": 4.6817,
+      "mean_token_accuracy": 0.22098743617534639,
+      "num_tokens": 14203900.0,
+      "step": 7790
+    },
+    {
+      "entropy": 5.264908695220948,
+      "epoch": 6.458160729080364,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0001959406645816979,
+      "loss": 4.604,
+      "mean_token_accuracy": 0.22145358771085738,
+      "num_tokens": 14213232.0,
+      "step": 7795
+    },
+    {
+      "entropy": 5.2155252456665036,
+      "epoch": 6.4623032311516155,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00019564156474654554,
+      "loss": 4.545,
+      "mean_token_accuracy": 0.21945291459560395,
+      "num_tokens": 14221365.0,
+      "step": 7800
+    },
+    {
+      "entropy": 5.183708381652832,
+      "epoch": 6.466445733222867,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00019534262498602928,
+      "loss": 4.5722,
+      "mean_token_accuracy": 0.21912614554166793,
+      "num_tokens": 14229878.0,
+      "step": 7805
+    },
+    {
+      "entropy": 5.247611427307129,
+      "epoch": 6.470588235294118,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00019504384590314318,
+      "loss": 4.6163,
+      "mean_token_accuracy": 0.21504329293966293,
+      "num_tokens": 14239132.0,
+      "step": 7810
+    },
+    {
+      "entropy": 5.27608289718628,
+      "epoch": 6.474730737365369,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.00019474522810055745,
+      "loss": 4.6315,
+      "mean_token_accuracy": 0.22245015799999238,
+      "num_tokens": 14247116.0,
+      "step": 7815
+    },
+    {
+      "entropy": 5.237215900421143,
+      "epoch": 6.47887323943662,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00019444677218061673,
+      "loss": 4.5876,
+      "mean_token_accuracy": 0.22378402203321457,
+      "num_tokens": 14255423.0,
+      "step": 7820
+    },
+    {
+      "entropy": 5.22880802154541,
+      "epoch": 6.483015741507871,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.0001941484787453393,
+      "loss": 4.5576,
+      "mean_token_accuracy": 0.22750293612480163,
+      "num_tokens": 14263836.0,
+      "step": 7825
+    },
+    {
+      "entropy": 5.1975545406341555,
+      "epoch": 6.487158243579122,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00019385034839641558,
+      "loss": 4.6818,
+      "mean_token_accuracy": 0.21816913187503814,
+      "num_tokens": 14273460.0,
+      "step": 7830
+    },
+    {
+      "entropy": 5.288527727127075,
+      "epoch": 6.491300745650372,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001935523817352071,
+      "loss": 4.6991,
+      "mean_token_accuracy": 0.21707435250282286,
+      "num_tokens": 14282925.0,
+      "step": 7835
+    },
+    {
+      "entropy": 5.283282852172851,
+      "epoch": 6.4954432477216235,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019325457936274516,
+      "loss": 4.5817,
+      "mean_token_accuracy": 0.22622769176959992,
+      "num_tokens": 14292059.0,
+      "step": 7840
+    },
+    {
+      "entropy": 5.274545192718506,
+      "epoch": 6.499585749792875,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00019295694187972955,
+      "loss": 4.6371,
+      "mean_token_accuracy": 0.2125675469636917,
+      "num_tokens": 14301276.0,
+      "step": 7845
+    },
+    {
+      "entropy": 5.247177505493164,
+      "epoch": 6.503728251864126,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019265946988652783,
+      "loss": 4.6386,
+      "mean_token_accuracy": 0.21370143294334412,
+      "num_tokens": 14310259.0,
+      "step": 7850
+    },
+    {
+      "entropy": 5.227504730224609,
+      "epoch": 6.507870753935377,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0001923621639831733,
+      "loss": 4.5105,
+      "mean_token_accuracy": 0.22504902780056,
+      "num_tokens": 14318782.0,
+      "step": 7855
+    },
+    {
+      "entropy": 5.173471689224243,
+      "epoch": 6.512013256006628,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00019206502476936467,
+      "loss": 4.4963,
+      "mean_token_accuracy": 0.23206298500299455,
+      "num_tokens": 14327571.0,
+      "step": 7860
+    },
+    {
+      "entropy": 5.135555934906006,
+      "epoch": 6.516155758077879,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00019176805284446414,
+      "loss": 4.5319,
+      "mean_token_accuracy": 0.23313156962394715,
+      "num_tokens": 14336974.0,
+      "step": 7865
+    },
+    {
+      "entropy": 5.291125202178955,
+      "epoch": 6.52029826014913,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00019147124880749633,
+      "loss": 4.6926,
+      "mean_token_accuracy": 0.218401962518692,
+      "num_tokens": 14346367.0,
+      "step": 7870
+    },
+    {
+      "entropy": 5.287627267837524,
+      "epoch": 6.524440762220381,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00019117461325714768,
+      "loss": 4.6304,
+      "mean_token_accuracy": 0.22132983505725862,
+      "num_tokens": 14355641.0,
+      "step": 7875
+    },
+    {
+      "entropy": 5.246808195114136,
+      "epoch": 6.528583264291632,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019087814679176436,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.22451686710119248,
+      "num_tokens": 14364927.0,
+      "step": 7880
+    },
+    {
+      "entropy": 5.234672212600708,
+      "epoch": 6.5327257663628835,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019058185000935175,
+      "loss": 4.5399,
+      "mean_token_accuracy": 0.22587109208106995,
+      "num_tokens": 14373370.0,
+      "step": 7885
+    },
+    {
+      "entropy": 5.254017162322998,
+      "epoch": 6.536868268434135,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00019028572350757278,
+      "loss": 4.6124,
+      "mean_token_accuracy": 0.21654532849788666,
+      "num_tokens": 14381820.0,
+      "step": 7890
+    },
+    {
+      "entropy": 5.2422840118408205,
+      "epoch": 6.541010770505386,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018998976788374682,
+      "loss": 4.5875,
+      "mean_token_accuracy": 0.21863880306482314,
+      "num_tokens": 14391158.0,
+      "step": 7895
+    },
+    {
+      "entropy": 5.201485252380371,
+      "epoch": 6.545153272576636,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00018969398373484898,
+      "loss": 4.6299,
+      "mean_token_accuracy": 0.21829961985349655,
+      "num_tokens": 14399945.0,
+      "step": 7900
+    },
+    {
+      "entropy": 5.200627136230469,
+      "epoch": 6.549295774647887,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00018939837165750796,
+      "loss": 4.5447,
+      "mean_token_accuracy": 0.22442623525857924,
+      "num_tokens": 14410275.0,
+      "step": 7905
+    },
+    {
+      "entropy": 5.29403018951416,
+      "epoch": 6.553438276719138,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00018910293224800584,
+      "loss": 4.6482,
+      "mean_token_accuracy": 0.2173393338918686,
+      "num_tokens": 14420369.0,
+      "step": 7910
+    },
+    {
+      "entropy": 5.291232109069824,
+      "epoch": 6.557580778790389,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00018880766610227608,
+      "loss": 4.6234,
+      "mean_token_accuracy": 0.22409190386533737,
+      "num_tokens": 14429078.0,
+      "step": 7915
+    },
+    {
+      "entropy": 5.234523487091065,
+      "epoch": 6.56172328086164,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018851257381590264,
+      "loss": 4.5824,
+      "mean_token_accuracy": 0.22088503539562226,
+      "num_tokens": 14438920.0,
+      "step": 7920
+    },
+    {
+      "entropy": 5.292790508270263,
+      "epoch": 6.5658657829328915,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018821765598411917,
+      "loss": 4.7699,
+      "mean_token_accuracy": 0.20645501464605331,
+      "num_tokens": 14449164.0,
+      "step": 7925
+    },
+    {
+      "entropy": 5.241003036499023,
+      "epoch": 6.570008285004143,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00018792291320180693,
+      "loss": 4.6977,
+      "mean_token_accuracy": 0.2070661887526512,
+      "num_tokens": 14459418.0,
+      "step": 7930
+    },
+    {
+      "entropy": 5.294680643081665,
+      "epoch": 6.574150787075394,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00018762834606349455,
+      "loss": 4.5906,
+      "mean_token_accuracy": 0.22685577124357223,
+      "num_tokens": 14468691.0,
+      "step": 7935
+    },
+    {
+      "entropy": 5.322669315338135,
+      "epoch": 6.578293289146645,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00018733395516335588,
+      "loss": 4.6731,
+      "mean_token_accuracy": 0.21569546610116958,
+      "num_tokens": 14477936.0,
+      "step": 7940
+    },
+    {
+      "entropy": 5.285602855682373,
+      "epoch": 6.582435791217896,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00018703974109520976,
+      "loss": 4.6442,
+      "mean_token_accuracy": 0.22226325422525406,
+      "num_tokens": 14487191.0,
+      "step": 7945
+    },
+    {
+      "entropy": 5.2095410346984865,
+      "epoch": 6.586578293289147,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018674570445251798,
+      "loss": 4.566,
+      "mean_token_accuracy": 0.2255881741642952,
+      "num_tokens": 14495731.0,
+      "step": 7950
+    },
+    {
+      "entropy": 5.200072622299194,
+      "epoch": 6.590720795360397,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018645184582838465,
+      "loss": 4.5668,
+      "mean_token_accuracy": 0.22047847658395767,
+      "num_tokens": 14505009.0,
+      "step": 7955
+    },
+    {
+      "entropy": 5.211784410476684,
+      "epoch": 6.594863297431648,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00018615816581555466,
+      "loss": 4.614,
+      "mean_token_accuracy": 0.21996732503175737,
+      "num_tokens": 14513843.0,
+      "step": 7960
+    },
+    {
+      "entropy": 5.188229322433472,
+      "epoch": 6.5990057995028994,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0001858646650064128,
+      "loss": 4.6074,
+      "mean_token_accuracy": 0.22044946551322936,
+      "num_tokens": 14523405.0,
+      "step": 7965
+    },
+    {
+      "entropy": 5.254159069061279,
+      "epoch": 6.603148301574151,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018557134399298215,
+      "loss": 4.6781,
+      "mean_token_accuracy": 0.21682086437940598,
+      "num_tokens": 14532615.0,
+      "step": 7970
+    },
+    {
+      "entropy": 5.2646036624908445,
+      "epoch": 6.607290803645402,
+      "grad_norm": 1.671875,
+      "learning_rate": 0.0001852782033669233,
+      "loss": 4.6101,
+      "mean_token_accuracy": 0.22458707094192504,
+      "num_tokens": 14541297.0,
+      "step": 7975
+    },
+    {
+      "entropy": 5.216501903533936,
+      "epoch": 6.611433305716653,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00018498524371953295,
+      "loss": 4.556,
+      "mean_token_accuracy": 0.22257563024759291,
+      "num_tokens": 14549867.0,
+      "step": 7980
+    },
+    {
+      "entropy": 5.22313437461853,
+      "epoch": 6.615575807787904,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018469246564174275,
+      "loss": 4.6508,
+      "mean_token_accuracy": 0.20906404107809068,
+      "num_tokens": 14558708.0,
+      "step": 7985
+    },
+    {
+      "entropy": 5.215989065170288,
+      "epoch": 6.619718309859155,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.000184399869724118,
+      "loss": 4.648,
+      "mean_token_accuracy": 0.21317926198244094,
+      "num_tokens": 14567917.0,
+      "step": 7990
+    },
+    {
+      "entropy": 5.194528484344483,
+      "epoch": 6.623860811930406,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00018410745655685662,
+      "loss": 4.5161,
+      "mean_token_accuracy": 0.23143290728330612,
+      "num_tokens": 14576417.0,
+      "step": 7995
+    },
+    {
+      "entropy": 5.19383282661438,
+      "epoch": 6.628003314001657,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00018381522672978806,
+      "loss": 4.5967,
+      "mean_token_accuracy": 0.2205110549926758,
+      "num_tokens": 14585172.0,
+      "step": 8000
+    },
+    {
+      "epoch": 6.628003314001657,
+      "eval_entropy": 5.144060653409978,
+      "eval_loss": 5.7370734214782715,
+      "eval_mean_token_accuracy": 0.1679431346020719,
+      "eval_num_tokens": 14585172.0,
+      "eval_runtime": 2.746,
+      "eval_samples_per_second": 1364.549,
+      "eval_steps_per_second": 170.796,
+      "step": 8000
+    },
+    {
+      "entropy": 5.2945750713348385,
+      "epoch": 6.632145816072908,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00018352318083237167,
+      "loss": 4.6209,
+      "mean_token_accuracy": 0.21357694566249846,
+      "num_tokens": 14593758.0,
+      "step": 8005
+    },
+    {
+      "entropy": 5.269504880905151,
+      "epoch": 6.636288318144159,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00018323131945369603,
+      "loss": 4.5957,
+      "mean_token_accuracy": 0.2212613955140114,
+      "num_tokens": 14602558.0,
+      "step": 8010
+    },
+    {
+      "entropy": 5.292761898040771,
+      "epoch": 6.6404308202154105,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00018293964318247735,
+      "loss": 4.5895,
+      "mean_token_accuracy": 0.22187672108411788,
+      "num_tokens": 14611463.0,
+      "step": 8015
+    },
+    {
+      "entropy": 5.268460607528686,
+      "epoch": 6.644573322286661,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00018264815260705863,
+      "loss": 4.6303,
+      "mean_token_accuracy": 0.22261828631162645,
+      "num_tokens": 14619951.0,
+      "step": 8020
+    },
+    {
+      "entropy": 5.312491035461425,
+      "epoch": 6.648715824357912,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00018235684831540826,
+      "loss": 4.6601,
+      "mean_token_accuracy": 0.2227204129099846,
+      "num_tokens": 14629332.0,
+      "step": 8025
+    },
+    {
+      "entropy": 5.215784406661987,
+      "epoch": 6.652858326429163,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018206573089511862,
+      "loss": 4.6116,
+      "mean_token_accuracy": 0.22559183984994888,
+      "num_tokens": 14639010.0,
+      "step": 8030
+    },
+    {
+      "entropy": 5.217174816131592,
+      "epoch": 6.657000828500414,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00018177480093340564,
+      "loss": 4.644,
+      "mean_token_accuracy": 0.2131648376584053,
+      "num_tokens": 14648507.0,
+      "step": 8035
+    },
+    {
+      "entropy": 5.26403660774231,
+      "epoch": 6.661143330571665,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0001814840590171065,
+      "loss": 4.6395,
+      "mean_token_accuracy": 0.216891747713089,
+      "num_tokens": 14657892.0,
+      "step": 8040
+    },
+    {
+      "entropy": 5.276500272750854,
+      "epoch": 6.665285832642916,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018119350573267979,
+      "loss": 4.5962,
+      "mean_token_accuracy": 0.22690920978784562,
+      "num_tokens": 14666460.0,
+      "step": 8045
+    },
+    {
+      "entropy": 5.25149884223938,
+      "epoch": 6.669428334714167,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018090314166620302,
+      "loss": 4.5902,
+      "mean_token_accuracy": 0.2189852774143219,
+      "num_tokens": 14675046.0,
+      "step": 8050
+    },
+    {
+      "entropy": 5.219921970367432,
+      "epoch": 6.6735708367854185,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018061296740337225,
+      "loss": 4.6258,
+      "mean_token_accuracy": 0.2165866807103157,
+      "num_tokens": 14685055.0,
+      "step": 8055
+    },
+    {
+      "entropy": 5.248022747039795,
+      "epoch": 6.67771333885667,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00018032298352950077,
+      "loss": 4.5972,
+      "mean_token_accuracy": 0.2188133031129837,
+      "num_tokens": 14695371.0,
+      "step": 8060
+    },
+    {
+      "entropy": 5.225955820083618,
+      "epoch": 6.681855840927921,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00018003319062951756,
+      "loss": 4.569,
+      "mean_token_accuracy": 0.2223624899983406,
+      "num_tokens": 14703671.0,
+      "step": 8065
+    },
+    {
+      "entropy": 5.195835924148559,
+      "epoch": 6.685998342999172,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00017974358928796682,
+      "loss": 4.5951,
+      "mean_token_accuracy": 0.22712722718715667,
+      "num_tokens": 14712527.0,
+      "step": 8070
+    },
+    {
+      "entropy": 5.231344604492188,
+      "epoch": 6.690140845070422,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00017945418008900594,
+      "loss": 4.6311,
+      "mean_token_accuracy": 0.22212356179952622,
+      "num_tokens": 14720711.0,
+      "step": 8075
+    },
+    {
+      "entropy": 5.25670371055603,
+      "epoch": 6.694283347141674,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0001791649636164049,
+      "loss": 4.6664,
+      "mean_token_accuracy": 0.21566284000873565,
+      "num_tokens": 14729667.0,
+      "step": 8080
+    },
+    {
+      "entropy": 5.32373685836792,
+      "epoch": 6.698425849212924,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000178875940453545,
+      "loss": 4.612,
+      "mean_token_accuracy": 0.2260928839445114,
+      "num_tokens": 14738614.0,
+      "step": 8085
+    },
+    {
+      "entropy": 5.285801553726197,
+      "epoch": 6.702568351284175,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00017858711118341742,
+      "loss": 4.611,
+      "mean_token_accuracy": 0.22119891494512559,
+      "num_tokens": 14747724.0,
+      "step": 8090
+    },
+    {
+      "entropy": 5.189185285568238,
+      "epoch": 6.7067108533554265,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00017829847638862255,
+      "loss": 4.5783,
+      "mean_token_accuracy": 0.22308655232191085,
+      "num_tokens": 14757436.0,
+      "step": 8095
+    },
+    {
+      "entropy": 5.163452911376953,
+      "epoch": 6.710853355426678,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00017801003665136823,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.22859434187412261,
+      "num_tokens": 14765948.0,
+      "step": 8100
+    },
+    {
+      "entropy": 5.2175110340118405,
+      "epoch": 6.714995857497929,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00017772179255346883,
+      "loss": 4.5924,
+      "mean_token_accuracy": 0.21859526336193086,
+      "num_tokens": 14775397.0,
+      "step": 8105
+    },
+    {
+      "entropy": 5.2649805545806885,
+      "epoch": 6.71913835956918,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00017743374467634433,
+      "loss": 4.5547,
+      "mean_token_accuracy": 0.22480292171239852,
+      "num_tokens": 14783605.0,
+      "step": 8110
+    },
+    {
+      "entropy": 5.262083387374878,
+      "epoch": 6.723280861640431,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00017714589360101862,
+      "loss": 4.6719,
+      "mean_token_accuracy": 0.2111577272415161,
+      "num_tokens": 14792210.0,
+      "step": 8115
+    },
+    {
+      "entropy": 5.165537548065186,
+      "epoch": 6.727423363711682,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000176858239908119,
+      "loss": 4.5663,
+      "mean_token_accuracy": 0.21831904202699662,
+      "num_tokens": 14801186.0,
+      "step": 8120
+    },
+    {
+      "entropy": 5.171479225158691,
+      "epoch": 6.731565865782933,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00017657078417787414,
+      "loss": 4.5126,
+      "mean_token_accuracy": 0.2303812935948372,
+      "num_tokens": 14810100.0,
+      "step": 8125
+    },
+    {
+      "entropy": 5.1626139163970945,
+      "epoch": 6.735708367854184,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017628352699011396,
+      "loss": 4.4932,
+      "mean_token_accuracy": 0.22342629581689835,
+      "num_tokens": 14819335.0,
+      "step": 8130
+    },
+    {
+      "entropy": 5.184713125228882,
+      "epoch": 6.739850869925435,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001759964689242674,
+      "loss": 4.6115,
+      "mean_token_accuracy": 0.22678097039461137,
+      "num_tokens": 14828686.0,
+      "step": 8135
+    },
+    {
+      "entropy": 5.233674144744873,
+      "epoch": 6.743993371996686,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001757096105593619,
+      "loss": 4.6202,
+      "mean_token_accuracy": 0.21709106266498565,
+      "num_tokens": 14838312.0,
+      "step": 8140
+    },
+    {
+      "entropy": 5.149096870422364,
+      "epoch": 6.748135874067937,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00017542295247402234,
+      "loss": 4.5595,
+      "mean_token_accuracy": 0.22249870449304582,
+      "num_tokens": 14846838.0,
+      "step": 8145
+    },
+    {
+      "entropy": 5.202677154541016,
+      "epoch": 6.752278376139188,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00017513649524646919,
+      "loss": 4.6182,
+      "mean_token_accuracy": 0.21352985352277756,
+      "num_tokens": 14857427.0,
+      "step": 8150
+    },
+    {
+      "entropy": 5.231053304672241,
+      "epoch": 6.756420878210439,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001748502394545181,
+      "loss": 4.6142,
+      "mean_token_accuracy": 0.2143697887659073,
+      "num_tokens": 14866244.0,
+      "step": 8155
+    },
+    {
+      "entropy": 5.2318687915802,
+      "epoch": 6.76056338028169,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001745641856755783,
+      "loss": 4.6272,
+      "mean_token_accuracy": 0.2168770670890808,
+      "num_tokens": 14875697.0,
+      "step": 8160
+    },
+    {
+      "entropy": 5.213436222076416,
+      "epoch": 6.764705882352941,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00017427833448665136,
+      "loss": 4.6431,
+      "mean_token_accuracy": 0.22060779482126236,
+      "num_tokens": 14884650.0,
+      "step": 8165
+    },
+    {
+      "entropy": 5.221727609634399,
+      "epoch": 6.768848384424192,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00017399268646433065,
+      "loss": 4.5726,
+      "mean_token_accuracy": 0.22035471200942994,
+      "num_tokens": 14894058.0,
+      "step": 8170
+    },
+    {
+      "entropy": 5.291379785537719,
+      "epoch": 6.772990886495443,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00017370724218479912,
+      "loss": 4.6928,
+      "mean_token_accuracy": 0.21716551035642623,
+      "num_tokens": 14903219.0,
+      "step": 8175
+    },
+    {
+      "entropy": 5.280435705184937,
+      "epoch": 6.7771333885666944,
+      "grad_norm": 1.5234375,
+      "learning_rate": 0.00017342200222382934,
+      "loss": 4.6104,
+      "mean_token_accuracy": 0.21606069803237915,
+      "num_tokens": 14913051.0,
+      "step": 8180
+    },
+    {
+      "entropy": 5.284905195236206,
+      "epoch": 6.781275890637946,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00017313696715678134,
+      "loss": 4.6263,
+      "mean_token_accuracy": 0.2211444079875946,
+      "num_tokens": 14921777.0,
+      "step": 8185
+    },
+    {
+      "entropy": 5.336038494110108,
+      "epoch": 6.785418392709197,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.000172852137558602,
+      "loss": 4.7612,
+      "mean_token_accuracy": 0.20792590975761413,
+      "num_tokens": 14931558.0,
+      "step": 8190
+    },
+    {
+      "entropy": 5.2495917797088625,
+      "epoch": 6.789560894780448,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00017256751400382384,
+      "loss": 4.6749,
+      "mean_token_accuracy": 0.2186842069029808,
+      "num_tokens": 14940584.0,
+      "step": 8195
+    },
+    {
+      "entropy": 5.260048294067383,
+      "epoch": 6.793703396851699,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00017228309706656354,
+      "loss": 4.6003,
+      "mean_token_accuracy": 0.2234319806098938,
+      "num_tokens": 14950830.0,
+      "step": 8200
+    },
+    {
+      "entropy": 5.309694099426269,
+      "epoch": 6.797845898922949,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001719988873205213,
+      "loss": 4.6046,
+      "mean_token_accuracy": 0.2206121563911438,
+      "num_tokens": 14958990.0,
+      "step": 8205
+    },
+    {
+      "entropy": 5.258207225799561,
+      "epoch": 6.8019884009942,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00017171488533897916,
+      "loss": 4.6389,
+      "mean_token_accuracy": 0.216607928276062,
+      "num_tokens": 14967451.0,
+      "step": 8210
+    },
+    {
+      "entropy": 5.220820093154908,
+      "epoch": 6.806130903065451,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00017143109169480005,
+      "loss": 4.5703,
+      "mean_token_accuracy": 0.2230973109602928,
+      "num_tokens": 14976157.0,
+      "step": 8215
+    },
+    {
+      "entropy": 5.277642917633057,
+      "epoch": 6.810273405136702,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017114750696042695,
+      "loss": 4.6916,
+      "mean_token_accuracy": 0.211100971698761,
+      "num_tokens": 14985591.0,
+      "step": 8220
+    },
+    {
+      "entropy": 5.277077102661133,
+      "epoch": 6.8144159072079535,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00017086413170788107,
+      "loss": 4.5868,
+      "mean_token_accuracy": 0.22545621395111085,
+      "num_tokens": 14994513.0,
+      "step": 8225
+    },
+    {
+      "entropy": 5.249056625366211,
+      "epoch": 6.818558409279205,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00017058096650876143,
+      "loss": 4.6555,
+      "mean_token_accuracy": 0.21752652078866958,
+      "num_tokens": 15003252.0,
+      "step": 8230
+    },
+    {
+      "entropy": 5.268651342391967,
+      "epoch": 6.822700911350456,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017029801193424313,
+      "loss": 4.5678,
+      "mean_token_accuracy": 0.21832710206508638,
+      "num_tokens": 15012342.0,
+      "step": 8235
+    },
+    {
+      "entropy": 5.17280683517456,
+      "epoch": 6.826843413421707,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017001526855507632,
+      "loss": 4.5248,
+      "mean_token_accuracy": 0.22667909115552903,
+      "num_tokens": 15021336.0,
+      "step": 8240
+    },
+    {
+      "entropy": 5.232009410858154,
+      "epoch": 6.830985915492958,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00016973273694158555,
+      "loss": 4.5752,
+      "mean_token_accuracy": 0.21583533883094788,
+      "num_tokens": 15031016.0,
+      "step": 8245
+    },
+    {
+      "entropy": 5.281693077087402,
+      "epoch": 6.835128417564209,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00016945041766366773,
+      "loss": 4.5846,
+      "mean_token_accuracy": 0.22162794917821885,
+      "num_tokens": 15039181.0,
+      "step": 8250
+    },
+    {
+      "entropy": 5.255547618865966,
+      "epoch": 6.83927091963546,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00016916831129079187,
+      "loss": 4.647,
+      "mean_token_accuracy": 0.2128545254468918,
+      "num_tokens": 15048563.0,
+      "step": 8255
+    },
+    {
+      "entropy": 5.248698711395264,
+      "epoch": 6.84341342170671,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001688864183919973,
+      "loss": 4.5936,
+      "mean_token_accuracy": 0.22442127764225006,
+      "num_tokens": 15056960.0,
+      "step": 8260
+    },
+    {
+      "entropy": 5.307019329071045,
+      "epoch": 6.8475559237779615,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00016860473953589266,
+      "loss": 4.6347,
+      "mean_token_accuracy": 0.21388418227434158,
+      "num_tokens": 15065645.0,
+      "step": 8265
+    },
+    {
+      "entropy": 5.223530387878418,
+      "epoch": 6.851698425849213,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00016832327529065522,
+      "loss": 4.5822,
+      "mean_token_accuracy": 0.22318441718816756,
+      "num_tokens": 15074544.0,
+      "step": 8270
+    },
+    {
+      "entropy": 5.267363739013672,
+      "epoch": 6.855840927920464,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001680420262240289,
+      "loss": 4.6343,
+      "mean_token_accuracy": 0.21753862798213958,
+      "num_tokens": 15083543.0,
+      "step": 8275
+    },
+    {
+      "entropy": 5.204693603515625,
+      "epoch": 6.859983429991715,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00016776099290332397,
+      "loss": 4.6145,
+      "mean_token_accuracy": 0.2235179975628853,
+      "num_tokens": 15092291.0,
+      "step": 8280
+    },
+    {
+      "entropy": 5.3212086200714115,
+      "epoch": 6.864125932062966,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00016748017589541525,
+      "loss": 4.6697,
+      "mean_token_accuracy": 0.2193456619977951,
+      "num_tokens": 15100875.0,
+      "step": 8285
+    },
+    {
+      "entropy": 5.275527429580689,
+      "epoch": 6.868268434134217,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0001671995757667414,
+      "loss": 4.6246,
+      "mean_token_accuracy": 0.22207115739583969,
+      "num_tokens": 15111385.0,
+      "step": 8290
+    },
+    {
+      "entropy": 5.325754880905151,
+      "epoch": 6.872410936205468,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00016691919308330343,
+      "loss": 4.6412,
+      "mean_token_accuracy": 0.2226441338658333,
+      "num_tokens": 15121153.0,
+      "step": 8295
+    },
+    {
+      "entropy": 5.278840351104736,
+      "epoch": 6.876553438276719,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00016663902841066404,
+      "loss": 4.6258,
+      "mean_token_accuracy": 0.21953531950712205,
+      "num_tokens": 15130132.0,
+      "step": 8300
+    },
+    {
+      "entropy": 5.229125213623047,
+      "epoch": 6.88069594034797,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00016635908231394587,
+      "loss": 4.6111,
+      "mean_token_accuracy": 0.2153362438082695,
+      "num_tokens": 15138878.0,
+      "step": 8305
+    },
+    {
+      "entropy": 5.198756742477417,
+      "epoch": 6.8848384424192215,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0001660793553578307,
+      "loss": 4.6868,
+      "mean_token_accuracy": 0.20835813581943513,
+      "num_tokens": 15148727.0,
+      "step": 8310
+    },
+    {
+      "entropy": 5.257393503189087,
+      "epoch": 6.888980944490473,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00016579984810655856,
+      "loss": 4.6404,
+      "mean_token_accuracy": 0.21736776530742646,
+      "num_tokens": 15158107.0,
+      "step": 8315
+    },
+    {
+      "entropy": 5.275184488296508,
+      "epoch": 6.893123446561724,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00016552056112392594,
+      "loss": 4.6178,
+      "mean_token_accuracy": 0.21456918865442276,
+      "num_tokens": 15168101.0,
+      "step": 8320
+    },
+    {
+      "entropy": 5.249782991409302,
+      "epoch": 6.897265948632974,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0001652414949732854,
+      "loss": 4.5573,
+      "mean_token_accuracy": 0.22505220770835876,
+      "num_tokens": 15176376.0,
+      "step": 8325
+    },
+    {
+      "entropy": 5.2404684066772464,
+      "epoch": 6.901408450704225,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00016496265021754365,
+      "loss": 4.5925,
+      "mean_token_accuracy": 0.2170558288693428,
+      "num_tokens": 15184936.0,
+      "step": 8330
+    },
+    {
+      "entropy": 5.271342658996582,
+      "epoch": 6.905550952775476,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00016468402741916124,
+      "loss": 4.6586,
+      "mean_token_accuracy": 0.22344124019145967,
+      "num_tokens": 15194846.0,
+      "step": 8335
+    },
+    {
+      "entropy": 5.263687086105347,
+      "epoch": 6.909693454846727,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001644056271401506,
+      "loss": 4.6187,
+      "mean_token_accuracy": 0.22206373363733292,
+      "num_tokens": 15204543.0,
+      "step": 8340
+    },
+    {
+      "entropy": 5.221840810775757,
+      "epoch": 6.913835956917978,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00016412744994207573,
+      "loss": 4.5897,
+      "mean_token_accuracy": 0.215163554251194,
+      "num_tokens": 15213459.0,
+      "step": 8345
+    },
+    {
+      "entropy": 5.209072399139404,
+      "epoch": 6.9179784589892295,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00016384949638605025,
+      "loss": 4.6864,
+      "mean_token_accuracy": 0.20790564268827438,
+      "num_tokens": 15223841.0,
+      "step": 8350
+    },
+    {
+      "entropy": 5.225527238845825,
+      "epoch": 6.922120961060481,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00016357176703273696,
+      "loss": 4.6187,
+      "mean_token_accuracy": 0.22101123183965682,
+      "num_tokens": 15233594.0,
+      "step": 8355
+    },
+    {
+      "entropy": 5.251284885406494,
+      "epoch": 6.926263463131732,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0001632942624423463,
+      "loss": 4.5643,
+      "mean_token_accuracy": 0.22933652848005295,
+      "num_tokens": 15242876.0,
+      "step": 8360
+    },
+    {
+      "entropy": 5.297107553482055,
+      "epoch": 6.930405965202983,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00016301698317463525,
+      "loss": 4.6565,
+      "mean_token_accuracy": 0.2228442072868347,
+      "num_tokens": 15251581.0,
+      "step": 8365
+    },
+    {
+      "entropy": 5.252490663528443,
+      "epoch": 6.934548467274234,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00016273992978890658,
+      "loss": 4.5084,
+      "mean_token_accuracy": 0.22431502342224122,
+      "num_tokens": 15260601.0,
+      "step": 8370
+    },
+    {
+      "entropy": 5.232750654220581,
+      "epoch": 6.938690969345485,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001624631028440071,
+      "loss": 4.5322,
+      "mean_token_accuracy": 0.22127106189727783,
+      "num_tokens": 15270123.0,
+      "step": 8375
+    },
+    {
+      "entropy": 5.301280069351196,
+      "epoch": 6.942833471416735,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0001621865028983271,
+      "loss": 4.6664,
+      "mean_token_accuracy": 0.2162109360098839,
+      "num_tokens": 15278623.0,
+      "step": 8380
+    },
+    {
+      "entropy": 5.187017822265625,
+      "epoch": 6.946975973487987,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001619101305097988,
+      "loss": 4.569,
+      "mean_token_accuracy": 0.22274162173271178,
+      "num_tokens": 15287789.0,
+      "step": 8385
+    },
+    {
+      "entropy": 5.105927991867065,
+      "epoch": 6.9511184755592375,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.00016163398623589563,
+      "loss": 4.5276,
+      "mean_token_accuracy": 0.23134084939956664,
+      "num_tokens": 15296266.0,
+      "step": 8390
+    },
+    {
+      "entropy": 5.268940114974976,
+      "epoch": 6.955260977630489,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00016135807063363074,
+      "loss": 4.6269,
+      "mean_token_accuracy": 0.21198562532663345,
+      "num_tokens": 15304785.0,
+      "step": 8395
+    },
+    {
+      "entropy": 5.171991634368896,
+      "epoch": 6.95940347970174,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00016108238425955584,
+      "loss": 4.5327,
+      "mean_token_accuracy": 0.22577450573444366,
+      "num_tokens": 15313727.0,
+      "step": 8400
+    },
+    {
+      "entropy": 5.254316186904907,
+      "epoch": 6.963545981772991,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0001608069276697608,
+      "loss": 4.7158,
+      "mean_token_accuracy": 0.21332326233386995,
+      "num_tokens": 15322911.0,
+      "step": 8405
+    },
+    {
+      "entropy": 5.300360822677613,
+      "epoch": 6.967688483844242,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001605317014198714,
+      "loss": 4.6163,
+      "mean_token_accuracy": 0.22070427536964415,
+      "num_tokens": 15330882.0,
+      "step": 8410
+    },
+    {
+      "entropy": 5.221141958236695,
+      "epoch": 6.971830985915493,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00016025670606504926,
+      "loss": 4.523,
+      "mean_token_accuracy": 0.22398052662611007,
+      "num_tokens": 15339915.0,
+      "step": 8415
+    },
+    {
+      "entropy": 5.213225173950195,
+      "epoch": 6.975973487986744,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001599819421599899,
+      "loss": 4.5878,
+      "mean_token_accuracy": 0.21864742040634155,
+      "num_tokens": 15348181.0,
+      "step": 8420
+    },
+    {
+      "entropy": 5.188560724258423,
+      "epoch": 6.980115990057995,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00015970741025892233,
+      "loss": 4.5452,
+      "mean_token_accuracy": 0.2271549642086029,
+      "num_tokens": 15357128.0,
+      "step": 8425
+    },
+    {
+      "entropy": 5.209831953048706,
+      "epoch": 6.984258492129246,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00015943311091560721,
+      "loss": 4.6538,
+      "mean_token_accuracy": 0.22213561683893204,
+      "num_tokens": 15366878.0,
+      "step": 8430
+    },
+    {
+      "entropy": 5.3097316265106205,
+      "epoch": 6.988400994200497,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00015915904468333635,
+      "loss": 4.5939,
+      "mean_token_accuracy": 0.22847030758857728,
+      "num_tokens": 15376101.0,
+      "step": 8435
+    },
+    {
+      "entropy": 5.18035774230957,
+      "epoch": 6.9925434962717485,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00015888521211493135,
+      "loss": 4.5421,
+      "mean_token_accuracy": 0.21641024351119995,
+      "num_tokens": 15384942.0,
+      "step": 8440
+    },
+    {
+      "entropy": 5.193719911575317,
+      "epoch": 6.996685998342999,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001586116137627423,
+      "loss": 4.5648,
+      "mean_token_accuracy": 0.22552343606948852,
+      "num_tokens": 15394380.0,
+      "step": 8445
+    },
+    {
+      "entropy": 5.28035192489624,
+      "epoch": 7.00082850041425,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00015833825017864711,
+      "loss": 4.4966,
+      "mean_token_accuracy": 0.23881841003894805,
+      "num_tokens": 15402180.0,
+      "step": 8450
+    },
+    {
+      "entropy": 5.25820837020874,
+      "epoch": 7.004971002485501,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00015806512191405,
+      "loss": 4.5534,
+      "mean_token_accuracy": 0.22912415564060212,
+      "num_tokens": 15411434.0,
+      "step": 8455
+    },
+    {
+      "entropy": 5.271618843078613,
+      "epoch": 7.009113504556752,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0001577922295198803,
+      "loss": 4.4939,
+      "mean_token_accuracy": 0.2291717991232872,
+      "num_tokens": 15419905.0,
+      "step": 8460
+    },
+    {
+      "entropy": 5.211508417129517,
+      "epoch": 7.013256006628003,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00015751957354659206,
+      "loss": 4.5173,
+      "mean_token_accuracy": 0.22768738716840745,
+      "num_tokens": 15429200.0,
+      "step": 8465
+    },
+    {
+      "entropy": 5.230689239501953,
+      "epoch": 7.017398508699254,
+      "grad_norm": 1.7734375,
+      "learning_rate": 0.00015724715454416206,
+      "loss": 4.5014,
+      "mean_token_accuracy": 0.23492475599050522,
+      "num_tokens": 15439328.0,
+      "step": 8470
+    },
+    {
+      "entropy": 5.239945983886718,
+      "epoch": 7.021541010770505,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00015697497306208926,
+      "loss": 4.449,
+      "mean_token_accuracy": 0.23373402953147887,
+      "num_tokens": 15447739.0,
+      "step": 8475
+    },
+    {
+      "entropy": 5.2335375308990475,
+      "epoch": 7.0256835128417565,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001567030296493934,
+      "loss": 4.4117,
+      "mean_token_accuracy": 0.2391123041510582,
+      "num_tokens": 15456598.0,
+      "step": 8480
+    },
+    {
+      "entropy": 5.264567565917969,
+      "epoch": 7.029826014913008,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00015643132485461395,
+      "loss": 4.5407,
+      "mean_token_accuracy": 0.22584614008665085,
+      "num_tokens": 15466633.0,
+      "step": 8485
+    },
+    {
+      "entropy": 5.269935941696167,
+      "epoch": 7.033968516984259,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.0001561598592258094,
+      "loss": 4.4839,
+      "mean_token_accuracy": 0.23932840377092363,
+      "num_tokens": 15476809.0,
+      "step": 8490
+    },
+    {
+      "entropy": 5.200196313858032,
+      "epoch": 7.03811101905551,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00015588863331055541,
+      "loss": 4.4345,
+      "mean_token_accuracy": 0.22763314247131347,
+      "num_tokens": 15484964.0,
+      "step": 8495
+    },
+    {
+      "entropy": 5.208463573455811,
+      "epoch": 7.042253521126761,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.0001556176476559444,
+      "loss": 4.4668,
+      "mean_token_accuracy": 0.2335176944732666,
+      "num_tokens": 15493600.0,
+      "step": 8500
+    },
+    {
+      "epoch": 7.042253521126761,
+      "eval_entropy": 5.129485646798921,
+      "eval_loss": 5.728693962097168,
+      "eval_mean_token_accuracy": 0.16830202490726767,
+      "eval_num_tokens": 15493600.0,
+      "eval_runtime": 2.7433,
+      "eval_samples_per_second": 1365.87,
+      "eval_steps_per_second": 170.962,
+      "step": 8500
+    },
+    {
+      "entropy": 5.164541816711425,
+      "epoch": 7.046396023198011,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00015534690280858405,
+      "loss": 4.4339,
+      "mean_token_accuracy": 0.23090869933366776,
+      "num_tokens": 15502614.0,
+      "step": 8505
+    },
+    {
+      "entropy": 5.342812156677246,
+      "epoch": 7.050538525269262,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00015507639931459615,
+      "loss": 4.5456,
+      "mean_token_accuracy": 0.23020666539669038,
+      "num_tokens": 15511521.0,
+      "step": 8510
+    },
+    {
+      "entropy": 5.217349433898926,
+      "epoch": 7.054681027340513,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000154806137719616,
+      "loss": 4.4838,
+      "mean_token_accuracy": 0.22951803505420684,
+      "num_tokens": 15520220.0,
+      "step": 8515
+    },
+    {
+      "entropy": 5.209629344940185,
+      "epoch": 7.0588235294117645,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001545361185687906,
+      "loss": 4.431,
+      "mean_token_accuracy": 0.2416904717683792,
+      "num_tokens": 15528924.0,
+      "step": 8520
+    },
+    {
+      "entropy": 5.182469224929809,
+      "epoch": 7.062966031483016,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00015426634240677824,
+      "loss": 4.4263,
+      "mean_token_accuracy": 0.23380360007286072,
+      "num_tokens": 15539722.0,
+      "step": 8525
+    },
+    {
+      "entropy": 5.2457551002502445,
+      "epoch": 7.067108533554267,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00015399680977774689,
+      "loss": 4.501,
+      "mean_token_accuracy": 0.2327603965997696,
+      "num_tokens": 15548682.0,
+      "step": 8530
+    },
+    {
+      "entropy": 5.270536422729492,
+      "epoch": 7.071251035625518,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00015372752122537318,
+      "loss": 4.4816,
+      "mean_token_accuracy": 0.23249582201242447,
+      "num_tokens": 15557508.0,
+      "step": 8535
+    },
+    {
+      "entropy": 5.2048643112182615,
+      "epoch": 7.075393537696769,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00015345847729284168,
+      "loss": 4.5156,
+      "mean_token_accuracy": 0.23168871104717254,
+      "num_tokens": 15566120.0,
+      "step": 8540
+    },
+    {
+      "entropy": 5.203616809844971,
+      "epoch": 7.07953603976802,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00015318967852284335,
+      "loss": 4.4143,
+      "mean_token_accuracy": 0.24245947301387788,
+      "num_tokens": 15575166.0,
+      "step": 8545
+    },
+    {
+      "entropy": 5.213142776489258,
+      "epoch": 7.083678541839271,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00015292112545757476,
+      "loss": 4.4618,
+      "mean_token_accuracy": 0.22540973722934723,
+      "num_tokens": 15585063.0,
+      "step": 8550
+    },
+    {
+      "entropy": 5.212160682678222,
+      "epoch": 7.087821043910522,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00015265281863873663,
+      "loss": 4.4774,
+      "mean_token_accuracy": 0.23299887031316757,
+      "num_tokens": 15594386.0,
+      "step": 8555
+    },
+    {
+      "entropy": 5.2236042499542235,
+      "epoch": 7.091963545981773,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00015238475860753338,
+      "loss": 4.5,
+      "mean_token_accuracy": 0.22962148636579513,
+      "num_tokens": 15603796.0,
+      "step": 8560
+    },
+    {
+      "entropy": 5.24848952293396,
+      "epoch": 7.096106048053024,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00015211694590467118,
+      "loss": 4.4305,
+      "mean_token_accuracy": 0.24062979519367217,
+      "num_tokens": 15612752.0,
+      "step": 8565
+    },
+    {
+      "entropy": 5.247216987609863,
+      "epoch": 7.100248550124275,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0001518493810703575,
+      "loss": 4.5228,
+      "mean_token_accuracy": 0.22897974401712418,
+      "num_tokens": 15621995.0,
+      "step": 8570
+    },
+    {
+      "entropy": 5.2101912021636965,
+      "epoch": 7.104391052195526,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00015158206464430002,
+      "loss": 4.4774,
+      "mean_token_accuracy": 0.2337987780570984,
+      "num_tokens": 15630390.0,
+      "step": 8575
+    },
+    {
+      "entropy": 5.154296445846557,
+      "epoch": 7.108533554266777,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000151314997165705,
+      "loss": 4.4282,
+      "mean_token_accuracy": 0.2341099962592125,
+      "num_tokens": 15639723.0,
+      "step": 8580
+    },
+    {
+      "entropy": 5.143678855895996,
+      "epoch": 7.112676056338028,
+      "grad_norm": 1.5625,
+      "learning_rate": 0.00015104817917327694,
+      "loss": 4.3389,
+      "mean_token_accuracy": 0.25343778878450396,
+      "num_tokens": 15647755.0,
+      "step": 8585
+    },
+    {
+      "entropy": 5.213784980773926,
+      "epoch": 7.116818558409279,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00015078161120521676,
+      "loss": 4.489,
+      "mean_token_accuracy": 0.24025783091783523,
+      "num_tokens": 15656949.0,
+      "step": 8590
+    },
+    {
+      "entropy": 5.183463621139526,
+      "epoch": 7.12096106048053,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001505152937992211,
+      "loss": 4.4389,
+      "mean_token_accuracy": 0.23687577545642852,
+      "num_tokens": 15666290.0,
+      "step": 8595
+    },
+    {
+      "entropy": 5.265416860580444,
+      "epoch": 7.125103562551781,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00015024922749248143,
+      "loss": 4.4796,
+      "mean_token_accuracy": 0.23623479157686234,
+      "num_tokens": 15675728.0,
+      "step": 8600
+    },
+    {
+      "entropy": 5.224102210998535,
+      "epoch": 7.1292460646230325,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00014998341282168243,
+      "loss": 4.4247,
+      "mean_token_accuracy": 0.24638550877571105,
+      "num_tokens": 15684519.0,
+      "step": 8605
+    },
+    {
+      "entropy": 5.225100469589234,
+      "epoch": 7.133388566694284,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0001497178503230015,
+      "loss": 4.5214,
+      "mean_token_accuracy": 0.2323624387383461,
+      "num_tokens": 15693813.0,
+      "step": 8610
+    },
+    {
+      "entropy": 5.2346985816955565,
+      "epoch": 7.137531068765535,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00014945254053210712,
+      "loss": 4.4972,
+      "mean_token_accuracy": 0.23152748346328736,
+      "num_tokens": 15702245.0,
+      "step": 8615
+    },
+    {
+      "entropy": 5.260819959640503,
+      "epoch": 7.141673570836786,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00014918748398415801,
+      "loss": 4.5132,
+      "mean_token_accuracy": 0.22982551604509355,
+      "num_tokens": 15712246.0,
+      "step": 8620
+    },
+    {
+      "entropy": 5.199164581298828,
+      "epoch": 7.145816072908037,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00014892268121380244,
+      "loss": 4.453,
+      "mean_token_accuracy": 0.23305327594280242,
+      "num_tokens": 15720904.0,
+      "step": 8625
+    },
+    {
+      "entropy": 5.201052474975586,
+      "epoch": 7.149958574979287,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00014865813275517637,
+      "loss": 4.4464,
+      "mean_token_accuracy": 0.24035904705524444,
+      "num_tokens": 15730595.0,
+      "step": 8630
+    },
+    {
+      "entropy": 5.160213327407837,
+      "epoch": 7.154101077050538,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00014839383914190302,
+      "loss": 4.4113,
+      "mean_token_accuracy": 0.2371663734316826,
+      "num_tokens": 15739475.0,
+      "step": 8635
+    },
+    {
+      "entropy": 5.202706527709961,
+      "epoch": 7.158243579121789,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001481298009070915,
+      "loss": 4.4357,
+      "mean_token_accuracy": 0.2400374785065651,
+      "num_tokens": 15748672.0,
+      "step": 8640
+    },
+    {
+      "entropy": 5.255636262893677,
+      "epoch": 7.16238608119304,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00014786601858333566,
+      "loss": 4.4665,
+      "mean_token_accuracy": 0.2322999894618988,
+      "num_tokens": 15757540.0,
+      "step": 8645
+    },
+    {
+      "entropy": 5.19217586517334,
+      "epoch": 7.1665285832642915,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00014760249270271341,
+      "loss": 4.4882,
+      "mean_token_accuracy": 0.23090190291404725,
+      "num_tokens": 15767198.0,
+      "step": 8650
+    },
+    {
+      "entropy": 5.181815910339355,
+      "epoch": 7.170671085335543,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00014733922379678513,
+      "loss": 4.444,
+      "mean_token_accuracy": 0.2331250548362732,
+      "num_tokens": 15776818.0,
+      "step": 8655
+    },
+    {
+      "entropy": 5.310377168655395,
+      "epoch": 7.174813587406794,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00014707621239659312,
+      "loss": 4.5959,
+      "mean_token_accuracy": 0.22294886857271196,
+      "num_tokens": 15786054.0,
+      "step": 8660
+    },
+    {
+      "entropy": 5.248941802978516,
+      "epoch": 7.178956089478045,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001468134590326601,
+      "loss": 4.5396,
+      "mean_token_accuracy": 0.22474610805511475,
+      "num_tokens": 15795367.0,
+      "step": 8665
+    },
+    {
+      "entropy": 5.275604391098023,
+      "epoch": 7.183098591549296,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001465509642349881,
+      "loss": 4.521,
+      "mean_token_accuracy": 0.22873310893774032,
+      "num_tokens": 15805006.0,
+      "step": 8670
+    },
+    {
+      "entropy": 5.279868030548096,
+      "epoch": 7.187241093620547,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00014628872853305808,
+      "loss": 4.5661,
+      "mean_token_accuracy": 0.21865685284137726,
+      "num_tokens": 15813978.0,
+      "step": 8675
+    },
+    {
+      "entropy": 5.2523754119873045,
+      "epoch": 7.191383595691798,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00014602675245582795,
+      "loss": 4.5336,
+      "mean_token_accuracy": 0.23225435018539428,
+      "num_tokens": 15824156.0,
+      "step": 8680
+    },
+    {
+      "entropy": 5.277890396118164,
+      "epoch": 7.195526097763049,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00014576503653173219,
+      "loss": 4.5739,
+      "mean_token_accuracy": 0.22429476380348207,
+      "num_tokens": 15833514.0,
+      "step": 8685
+    },
+    {
+      "entropy": 5.269798374176025,
+      "epoch": 7.1996685998342995,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00014550358128868036,
+      "loss": 4.5337,
+      "mean_token_accuracy": 0.2327092170715332,
+      "num_tokens": 15842047.0,
+      "step": 8690
+    },
+    {
+      "entropy": 5.283967399597168,
+      "epoch": 7.203811101905551,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00014524238725405615,
+      "loss": 4.5696,
+      "mean_token_accuracy": 0.230625981092453,
+      "num_tokens": 15851916.0,
+      "step": 8695
+    },
+    {
+      "entropy": 5.251355886459351,
+      "epoch": 7.207953603976802,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00014498145495471664,
+      "loss": 4.4735,
+      "mean_token_accuracy": 0.23564820736646652,
+      "num_tokens": 15860776.0,
+      "step": 8700
+    },
+    {
+      "entropy": 5.227689504623413,
+      "epoch": 7.212096106048053,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00014472078491699076,
+      "loss": 4.5561,
+      "mean_token_accuracy": 0.22959548383951187,
+      "num_tokens": 15870272.0,
+      "step": 8705
+    },
+    {
+      "entropy": 5.2320441722869875,
+      "epoch": 7.216238608119304,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0001444603776666784,
+      "loss": 4.4616,
+      "mean_token_accuracy": 0.23800074458122253,
+      "num_tokens": 15879448.0,
+      "step": 8710
+    },
+    {
+      "entropy": 5.309765768051148,
+      "epoch": 7.220381110190555,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00014420023372904944,
+      "loss": 4.5565,
+      "mean_token_accuracy": 0.22581303268671035,
+      "num_tokens": 15888806.0,
+      "step": 8715
+    },
+    {
+      "entropy": 5.223542404174805,
+      "epoch": 7.224523612261806,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00014394035362884274,
+      "loss": 4.5296,
+      "mean_token_accuracy": 0.23095161318778992,
+      "num_tokens": 15898443.0,
+      "step": 8720
+    },
+    {
+      "entropy": 5.220206260681152,
+      "epoch": 7.228666114333057,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00014368073789026482,
+      "loss": 4.4329,
+      "mean_token_accuracy": 0.2360845535993576,
+      "num_tokens": 15907759.0,
+      "step": 8725
+    },
+    {
+      "entropy": 5.230159711837769,
+      "epoch": 7.232808616404308,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00014342138703698882,
+      "loss": 4.4162,
+      "mean_token_accuracy": 0.24004922807216644,
+      "num_tokens": 15916687.0,
+      "step": 8730
+    },
+    {
+      "entropy": 5.2235363006591795,
+      "epoch": 7.2369511184755595,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.000143162301592154,
+      "loss": 4.48,
+      "mean_token_accuracy": 0.23941969871520996,
+      "num_tokens": 15925422.0,
+      "step": 8735
+    },
+    {
+      "entropy": 5.1952455043792725,
+      "epoch": 7.241093620546811,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00014290348207836385,
+      "loss": 4.4895,
+      "mean_token_accuracy": 0.2233983114361763,
+      "num_tokens": 15934279.0,
+      "step": 8740
+    },
+    {
+      "entropy": 5.200940227508545,
+      "epoch": 7.245236122618062,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001426449290176857,
+      "loss": 4.4485,
+      "mean_token_accuracy": 0.24146829843521117,
+      "num_tokens": 15943565.0,
+      "step": 8745
+    },
+    {
+      "entropy": 5.166256427764893,
+      "epoch": 7.249378624689312,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00014238664293164934,
+      "loss": 4.4391,
+      "mean_token_accuracy": 0.24021793454885482,
+      "num_tokens": 15952360.0,
+      "step": 8750
+    },
+    {
+      "entropy": 5.23963360786438,
+      "epoch": 7.253521126760563,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0001421286243412459,
+      "loss": 4.4776,
+      "mean_token_accuracy": 0.22992977499961853,
+      "num_tokens": 15960715.0,
+      "step": 8755
+    },
+    {
+      "entropy": 5.244385242462158,
+      "epoch": 7.257663628831814,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00014187087376692724,
+      "loss": 4.5058,
+      "mean_token_accuracy": 0.23199538439512252,
+      "num_tokens": 15969543.0,
+      "step": 8760
+    },
+    {
+      "entropy": 5.147299814224243,
+      "epoch": 7.261806130903065,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001416133917286043,
+      "loss": 4.4457,
+      "mean_token_accuracy": 0.23225277662277222,
+      "num_tokens": 15978256.0,
+      "step": 8765
+    },
+    {
+      "entropy": 5.203030776977539,
+      "epoch": 7.265948632974316,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001413561787456466,
+      "loss": 4.4327,
+      "mean_token_accuracy": 0.23831526637077333,
+      "num_tokens": 15987646.0,
+      "step": 8770
+    },
+    {
+      "entropy": 5.234354543685913,
+      "epoch": 7.2700911350455675,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00014109923533688068,
+      "loss": 4.4492,
+      "mean_token_accuracy": 0.23111054450273513,
+      "num_tokens": 15996767.0,
+      "step": 8775
+    },
+    {
+      "entropy": 5.211431694030762,
+      "epoch": 7.274233637116819,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0001408425620205897,
+      "loss": 4.4718,
+      "mean_token_accuracy": 0.23208508044481277,
+      "num_tokens": 16007170.0,
+      "step": 8780
+    },
+    {
+      "entropy": 5.255538749694824,
+      "epoch": 7.27837613918807,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001405861593145116,
+      "loss": 4.4987,
+      "mean_token_accuracy": 0.22857699245214463,
+      "num_tokens": 16015354.0,
+      "step": 8785
+    },
+    {
+      "entropy": 5.275969696044922,
+      "epoch": 7.282518641259321,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00014033002773583872,
+      "loss": 4.4955,
+      "mean_token_accuracy": 0.22325098514556885,
+      "num_tokens": 16024600.0,
+      "step": 8790
+    },
+    {
+      "entropy": 5.268600225448608,
+      "epoch": 7.286661143330572,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001400741678012164,
+      "loss": 4.4813,
+      "mean_token_accuracy": 0.2368546172976494,
+      "num_tokens": 16033301.0,
+      "step": 8795
+    },
+    {
+      "entropy": 5.252548122406006,
+      "epoch": 7.290803645401823,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00013981858002674223,
+      "loss": 4.5322,
+      "mean_token_accuracy": 0.22765524685382843,
+      "num_tokens": 16043539.0,
+      "step": 8800
+    },
+    {
+      "entropy": 5.284696912765503,
+      "epoch": 7.294946147473074,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001395632649279645,
+      "loss": 4.5687,
+      "mean_token_accuracy": 0.22771918177604675,
+      "num_tokens": 16052861.0,
+      "step": 8805
+    },
+    {
+      "entropy": 5.268942785263062,
+      "epoch": 7.299088649544325,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00013930822301988177,
+      "loss": 4.4622,
+      "mean_token_accuracy": 0.23665641099214554,
+      "num_tokens": 16062454.0,
+      "step": 8810
+    },
+    {
+      "entropy": 5.201201915740967,
+      "epoch": 7.3032311516155755,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00013905345481694147,
+      "loss": 4.4705,
+      "mean_token_accuracy": 0.2322714164853096,
+      "num_tokens": 16071432.0,
+      "step": 8815
+    },
+    {
+      "entropy": 5.172683620452881,
+      "epoch": 7.307373653686827,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001387989608330388,
+      "loss": 4.4437,
+      "mean_token_accuracy": 0.23548867851495742,
+      "num_tokens": 16080411.0,
+      "step": 8820
+    },
+    {
+      "entropy": 5.220728492736816,
+      "epoch": 7.311516155758078,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013854474158151602,
+      "loss": 4.486,
+      "mean_token_accuracy": 0.22679401338100433,
+      "num_tokens": 16089396.0,
+      "step": 8825
+    },
+    {
+      "entropy": 5.26025390625,
+      "epoch": 7.315658657829329,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00013829079757516106,
+      "loss": 4.5679,
+      "mean_token_accuracy": 0.224435892701149,
+      "num_tokens": 16099308.0,
+      "step": 8830
+    },
+    {
+      "entropy": 5.22006459236145,
+      "epoch": 7.31980115990058,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013803712932620681,
+      "loss": 4.5028,
+      "mean_token_accuracy": 0.22673140466213226,
+      "num_tokens": 16109336.0,
+      "step": 8835
+    },
+    {
+      "entropy": 5.267045164108277,
+      "epoch": 7.323943661971831,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001377837373463298,
+      "loss": 4.4931,
+      "mean_token_accuracy": 0.2302021786570549,
+      "num_tokens": 16118483.0,
+      "step": 8840
+    },
+    {
+      "entropy": 5.240559911727905,
+      "epoch": 7.328086164043082,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0001375306221466494,
+      "loss": 4.4713,
+      "mean_token_accuracy": 0.22934858202934266,
+      "num_tokens": 16127302.0,
+      "step": 8845
+    },
+    {
+      "entropy": 5.200973415374756,
+      "epoch": 7.332228666114333,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00013727778423772654,
+      "loss": 4.5353,
+      "mean_token_accuracy": 0.22502323240041733,
+      "num_tokens": 16136361.0,
+      "step": 8850
+    },
+    {
+      "entropy": 5.302484941482544,
+      "epoch": 7.336371168185584,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00013702522412956304,
+      "loss": 4.5868,
+      "mean_token_accuracy": 0.22618300914764405,
+      "num_tokens": 16146071.0,
+      "step": 8855
+    },
+    {
+      "entropy": 5.299910354614258,
+      "epoch": 7.340513670256835,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00013677294233160016,
+      "loss": 4.5189,
+      "mean_token_accuracy": 0.22607939094305038,
+      "num_tokens": 16154606.0,
+      "step": 8860
+    },
+    {
+      "entropy": 5.193687105178833,
+      "epoch": 7.3446561723280865,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013652093935271776,
+      "loss": 4.4767,
+      "mean_token_accuracy": 0.24149058610200883,
+      "num_tokens": 16163648.0,
+      "step": 8865
+    },
+    {
+      "entropy": 5.282410192489624,
+      "epoch": 7.348798674399337,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013626921570123357,
+      "loss": 4.5431,
+      "mean_token_accuracy": 0.22477766126394272,
+      "num_tokens": 16172693.0,
+      "step": 8870
+    },
+    {
+      "entropy": 5.204723453521728,
+      "epoch": 7.352941176470588,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00013601777188490156,
+      "loss": 4.4384,
+      "mean_token_accuracy": 0.23236895948648453,
+      "num_tokens": 16181689.0,
+      "step": 8875
+    },
+    {
+      "entropy": 5.202375221252441,
+      "epoch": 7.357083678541839,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0001357666084109115,
+      "loss": 4.5693,
+      "mean_token_accuracy": 0.22547451853752137,
+      "num_tokens": 16191254.0,
+      "step": 8880
+    },
+    {
+      "entropy": 5.271569538116455,
+      "epoch": 7.36122618061309,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001355157257858875,
+      "loss": 4.4698,
+      "mean_token_accuracy": 0.23402072489261627,
+      "num_tokens": 16199613.0,
+      "step": 8885
+    },
+    {
+      "entropy": 5.213530111312866,
+      "epoch": 7.365368682684341,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013526512451588718,
+      "loss": 4.4584,
+      "mean_token_accuracy": 0.23570594042539597,
+      "num_tokens": 16208345.0,
+      "step": 8890
+    },
+    {
+      "entropy": 5.259526348114013,
+      "epoch": 7.369511184755592,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0001350148051064008,
+      "loss": 4.5219,
+      "mean_token_accuracy": 0.23035535961389542,
+      "num_tokens": 16217964.0,
+      "step": 8895
+    },
+    {
+      "entropy": 5.259307479858398,
+      "epoch": 7.373653686826843,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00013476476806234983,
+      "loss": 4.5768,
+      "mean_token_accuracy": 0.2261824905872345,
+      "num_tokens": 16227140.0,
+      "step": 8900
+    },
+    {
+      "entropy": 5.320018339157104,
+      "epoch": 7.3777961888980945,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0001345150138880865,
+      "loss": 4.5291,
+      "mean_token_accuracy": 0.22605375498533248,
+      "num_tokens": 16237416.0,
+      "step": 8905
+    },
+    {
+      "entropy": 5.313902473449707,
+      "epoch": 7.381938690969346,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00013426554308739214,
+      "loss": 4.5596,
+      "mean_token_accuracy": 0.2251575157046318,
+      "num_tokens": 16246682.0,
+      "step": 8910
+    },
+    {
+      "entropy": 5.246820068359375,
+      "epoch": 7.386081193040597,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00013401635616347655,
+      "loss": 4.5364,
+      "mean_token_accuracy": 0.2272168666124344,
+      "num_tokens": 16255450.0,
+      "step": 8915
+    },
+    {
+      "entropy": 5.129112625122071,
+      "epoch": 7.390223695111848,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013376745361897712,
+      "loss": 4.4317,
+      "mean_token_accuracy": 0.24068772196769714,
+      "num_tokens": 16265014.0,
+      "step": 8920
+    },
+    {
+      "entropy": 5.284948348999023,
+      "epoch": 7.394366197183099,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00013351883595595743,
+      "loss": 4.5167,
+      "mean_token_accuracy": 0.23356657475233078,
+      "num_tokens": 16273309.0,
+      "step": 8925
+    },
+    {
+      "entropy": 5.225611877441406,
+      "epoch": 7.39850869925435,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001332705036759065,
+      "loss": 4.4788,
+      "mean_token_accuracy": 0.22821299731731415,
+      "num_tokens": 16282129.0,
+      "step": 8930
+    },
+    {
+      "entropy": 5.155527019500733,
+      "epoch": 7.4026512013256,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0001330224572797377,
+      "loss": 4.4512,
+      "mean_token_accuracy": 0.2339691624045372,
+      "num_tokens": 16291208.0,
+      "step": 8935
+    },
+    {
+      "entropy": 5.221278285980224,
+      "epoch": 7.406793703396851,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00013277469726778756,
+      "loss": 4.4484,
+      "mean_token_accuracy": 0.2374333918094635,
+      "num_tokens": 16300111.0,
+      "step": 8940
+    },
+    {
+      "entropy": 5.253650236129761,
+      "epoch": 7.4109362054681025,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001325272241398153,
+      "loss": 4.4236,
+      "mean_token_accuracy": 0.24237828254699706,
+      "num_tokens": 16308653.0,
+      "step": 8945
+    },
+    {
+      "entropy": 5.303265380859375,
+      "epoch": 7.415078707539354,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013228003839500113,
+      "loss": 4.5048,
+      "mean_token_accuracy": 0.23030605614185334,
+      "num_tokens": 16317986.0,
+      "step": 8950
+    },
+    {
+      "entropy": 5.250785398483276,
+      "epoch": 7.419221209610605,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001320331405319458,
+      "loss": 4.4978,
+      "mean_token_accuracy": 0.23015536218881608,
+      "num_tokens": 16326889.0,
+      "step": 8955
+    },
+    {
+      "entropy": 5.175545310974121,
+      "epoch": 7.423363711681856,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013178653104866926,
+      "loss": 4.5135,
+      "mean_token_accuracy": 0.2249376356601715,
+      "num_tokens": 16336121.0,
+      "step": 8960
+    },
+    {
+      "entropy": 5.223824167251587,
+      "epoch": 7.427506213753107,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.00013154021044260966,
+      "loss": 4.5654,
+      "mean_token_accuracy": 0.22634392529726027,
+      "num_tokens": 16345216.0,
+      "step": 8965
+    },
+    {
+      "entropy": 5.167584037780761,
+      "epoch": 7.431648715824358,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00013129417921062275,
+      "loss": 4.4047,
+      "mean_token_accuracy": 0.24216125905513763,
+      "num_tokens": 16353735.0,
+      "step": 8970
+    },
+    {
+      "entropy": 5.213489151000976,
+      "epoch": 7.435791217895609,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001310484378489803,
+      "loss": 4.4363,
+      "mean_token_accuracy": 0.23906279355287552,
+      "num_tokens": 16362474.0,
+      "step": 8975
+    },
+    {
+      "entropy": 5.264641571044922,
+      "epoch": 7.43993371996686,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013080298685336957,
+      "loss": 4.5711,
+      "mean_token_accuracy": 0.22207222431898116,
+      "num_tokens": 16371948.0,
+      "step": 8980
+    },
+    {
+      "entropy": 5.193941831588745,
+      "epoch": 7.444076222038111,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00013055782671889205,
+      "loss": 4.4657,
+      "mean_token_accuracy": 0.23412289023399352,
+      "num_tokens": 16380849.0,
+      "step": 8985
+    },
+    {
+      "entropy": 5.256904029846192,
+      "epoch": 7.448218724109362,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0001303129579400624,
+      "loss": 4.5758,
+      "mean_token_accuracy": 0.21966907531023025,
+      "num_tokens": 16389495.0,
+      "step": 8990
+    },
+    {
+      "entropy": 5.242080307006836,
+      "epoch": 7.452361226180613,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001300683810108078,
+      "loss": 4.44,
+      "mean_token_accuracy": 0.23775164783000946,
+      "num_tokens": 16397744.0,
+      "step": 8995
+    },
+    {
+      "entropy": 5.198620891571045,
+      "epoch": 7.456503728251864,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0001298240964244666,
+      "loss": 4.4774,
+      "mean_token_accuracy": 0.22778769880533217,
+      "num_tokens": 16406785.0,
+      "step": 9000
+    },
+    {
+      "epoch": 7.456503728251864,
+      "eval_entropy": 5.137435206472238,
+      "eval_loss": 5.726848125457764,
+      "eval_mean_token_accuracy": 0.16911925307151351,
+      "eval_num_tokens": 16406785.0,
+      "eval_runtime": 2.7388,
+      "eval_samples_per_second": 1368.12,
+      "eval_steps_per_second": 171.243,
+      "step": 9000
+    },
+    {
+      "entropy": 5.236600065231324,
+      "epoch": 7.460646230323115,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001295801046737876,
+      "loss": 4.5195,
+      "mean_token_accuracy": 0.23866655230522155,
+      "num_tokens": 16415768.0,
+      "step": 9005
+    },
+    {
+      "entropy": 5.189950561523437,
+      "epoch": 7.464788732394366,
+      "grad_norm": 1.53125,
+      "learning_rate": 0.00012933640625092867,
+      "loss": 4.4701,
+      "mean_token_accuracy": 0.2334812819957733,
+      "num_tokens": 16424722.0,
+      "step": 9010
+    },
+    {
+      "entropy": 5.206139373779297,
+      "epoch": 7.468931234465617,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00012909300164745636,
+      "loss": 4.4532,
+      "mean_token_accuracy": 0.24083833396434784,
+      "num_tokens": 16433797.0,
+      "step": 9015
+    },
+    {
+      "entropy": 5.195779943466187,
+      "epoch": 7.473073736536868,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00012884989135434423,
+      "loss": 4.4113,
+      "mean_token_accuracy": 0.23783705085515977,
+      "num_tokens": 16442537.0,
+      "step": 9020
+    },
+    {
+      "entropy": 5.241878795623779,
+      "epoch": 7.477216238608119,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00012860707586197218,
+      "loss": 4.5289,
+      "mean_token_accuracy": 0.23057866245508193,
+      "num_tokens": 16451440.0,
+      "step": 9025
+    },
+    {
+      "entropy": 5.202231788635254,
+      "epoch": 7.4813587406793705,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00012836455566012586,
+      "loss": 4.5065,
+      "mean_token_accuracy": 0.22772400230169296,
+      "num_tokens": 16459358.0,
+      "step": 9030
+    },
+    {
+      "entropy": 5.1701904296875,
+      "epoch": 7.485501242750622,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00012812233123799481,
+      "loss": 4.3761,
+      "mean_token_accuracy": 0.24460603147745133,
+      "num_tokens": 16467584.0,
+      "step": 9035
+    },
+    {
+      "entropy": 5.232595682144165,
+      "epoch": 7.489643744821873,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00012788040308417232,
+      "loss": 4.5119,
+      "mean_token_accuracy": 0.22690969109535217,
+      "num_tokens": 16476674.0,
+      "step": 9040
+    },
+    {
+      "entropy": 5.18615756034851,
+      "epoch": 7.493786246893124,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00012763877168665383,
+      "loss": 4.3977,
+      "mean_token_accuracy": 0.23276474177837372,
+      "num_tokens": 16485422.0,
+      "step": 9045
+    },
+    {
+      "entropy": 5.259172058105468,
+      "epoch": 7.497928748964375,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00012739743753283617,
+      "loss": 4.594,
+      "mean_token_accuracy": 0.23090241551399232,
+      "num_tokens": 16494024.0,
+      "step": 9050
+    },
+    {
+      "entropy": 5.212364196777344,
+      "epoch": 7.502071251035625,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001271564011095169,
+      "loss": 4.567,
+      "mean_token_accuracy": 0.22396907359361648,
+      "num_tokens": 16503805.0,
+      "step": 9055
+    },
+    {
+      "entropy": 5.238067293167115,
+      "epoch": 7.506213753106876,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001269156629028927,
+      "loss": 4.5034,
+      "mean_token_accuracy": 0.22764867544174194,
+      "num_tokens": 16512559.0,
+      "step": 9060
+    },
+    {
+      "entropy": 5.283909463882447,
+      "epoch": 7.510356255178127,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.0001266752233985589,
+      "loss": 4.5421,
+      "mean_token_accuracy": 0.22903914898633956,
+      "num_tokens": 16521910.0,
+      "step": 9065
+    },
+    {
+      "entropy": 5.228765964508057,
+      "epoch": 7.514498757249378,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00012643508308150822,
+      "loss": 4.481,
+      "mean_token_accuracy": 0.23210673332214354,
+      "num_tokens": 16530802.0,
+      "step": 9070
+    },
+    {
+      "entropy": 5.175292682647705,
+      "epoch": 7.5186412593206295,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001261952424361299,
+      "loss": 4.4682,
+      "mean_token_accuracy": 0.2365036979317665,
+      "num_tokens": 16540519.0,
+      "step": 9075
+    },
+    {
+      "entropy": 5.187702560424805,
+      "epoch": 7.522783761391881,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0001259557019462088,
+      "loss": 4.4624,
+      "mean_token_accuracy": 0.22708640843629838,
+      "num_tokens": 16549433.0,
+      "step": 9080
+    },
+    {
+      "entropy": 5.2191469192504885,
+      "epoch": 7.526926263463132,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00012571646209492417,
+      "loss": 4.5106,
+      "mean_token_accuracy": 0.2241887181997299,
+      "num_tokens": 16558128.0,
+      "step": 9085
+    },
+    {
+      "entropy": 5.1911474704742435,
+      "epoch": 7.531068765534383,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00012547752336484908,
+      "loss": 4.4329,
+      "mean_token_accuracy": 0.2339310199022293,
+      "num_tokens": 16566636.0,
+      "step": 9090
+    },
+    {
+      "entropy": 5.222174024581909,
+      "epoch": 7.535211267605634,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00012523888623794892,
+      "loss": 4.4508,
+      "mean_token_accuracy": 0.22641565501689911,
+      "num_tokens": 16575036.0,
+      "step": 9095
+    },
+    {
+      "entropy": 5.18636269569397,
+      "epoch": 7.539353769676885,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.0001250005511955809,
+      "loss": 4.4813,
+      "mean_token_accuracy": 0.23633484840393065,
+      "num_tokens": 16584146.0,
+      "step": 9100
+    },
+    {
+      "entropy": 5.267010164260864,
+      "epoch": 7.543496271748136,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001247625187184929,
+      "loss": 4.5566,
+      "mean_token_accuracy": 0.23071260899305343,
+      "num_tokens": 16593915.0,
+      "step": 9105
+    },
+    {
+      "entropy": 5.261574983596802,
+      "epoch": 7.547638773819386,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.0001245247892868223,
+      "loss": 4.4222,
+      "mean_token_accuracy": 0.24024491608142853,
+      "num_tokens": 16601490.0,
+      "step": 9110
+    },
+    {
+      "entropy": 5.231517314910889,
+      "epoch": 7.551781275890638,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0001242873633800955,
+      "loss": 4.5248,
+      "mean_token_accuracy": 0.22314041405916213,
+      "num_tokens": 16610972.0,
+      "step": 9115
+    },
+    {
+      "entropy": 5.2491841316223145,
+      "epoch": 7.555923777961889,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00012405024147722643,
+      "loss": 4.4864,
+      "mean_token_accuracy": 0.22206981778144835,
+      "num_tokens": 16619388.0,
+      "step": 9120
+    },
+    {
+      "entropy": 5.113521718978882,
+      "epoch": 7.56006628003314,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001238134240565158,
+      "loss": 4.4453,
+      "mean_token_accuracy": 0.23808686733245848,
+      "num_tokens": 16628265.0,
+      "step": 9125
+    },
+    {
+      "entropy": 5.1795234203338625,
+      "epoch": 7.564208782104391,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0001235769115956504,
+      "loss": 4.4003,
+      "mean_token_accuracy": 0.24365673661231996,
+      "num_tokens": 16636809.0,
+      "step": 9130
+    },
+    {
+      "entropy": 5.292108011245728,
+      "epoch": 7.568351284175642,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00012334070457170151,
+      "loss": 4.5798,
+      "mean_token_accuracy": 0.22227199971675873,
+      "num_tokens": 16646084.0,
+      "step": 9135
+    },
+    {
+      "entropy": 5.296937656402588,
+      "epoch": 7.572493786246893,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00012310480346112472,
+      "loss": 4.611,
+      "mean_token_accuracy": 0.2216431438922882,
+      "num_tokens": 16656196.0,
+      "step": 9140
+    },
+    {
+      "entropy": 5.209884786605835,
+      "epoch": 7.576636288318144,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00012286920873975815,
+      "loss": 4.5105,
+      "mean_token_accuracy": 0.22829700261354446,
+      "num_tokens": 16665770.0,
+      "step": 9145
+    },
+    {
+      "entropy": 5.213883733749389,
+      "epoch": 7.580778790389395,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00012263392088282226,
+      "loss": 4.4418,
+      "mean_token_accuracy": 0.24046860188245772,
+      "num_tokens": 16674206.0,
+      "step": 9150
+    },
+    {
+      "entropy": 5.187081003189087,
+      "epoch": 7.584921292460646,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00012239894036491833,
+      "loss": 4.4749,
+      "mean_token_accuracy": 0.2309769421815872,
+      "num_tokens": 16683977.0,
+      "step": 9155
+    },
+    {
+      "entropy": 5.184215354919433,
+      "epoch": 7.5890637945318975,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.00012216426766002762,
+      "loss": 4.4464,
+      "mean_token_accuracy": 0.23352074921131133,
+      "num_tokens": 16693117.0,
+      "step": 9160
+    },
+    {
+      "entropy": 5.220042276382446,
+      "epoch": 7.593206296603149,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00012192990324151079,
+      "loss": 4.4633,
+      "mean_token_accuracy": 0.23336823433637618,
+      "num_tokens": 16701631.0,
+      "step": 9165
+    },
+    {
+      "entropy": 5.242423677444458,
+      "epoch": 7.5973487986744,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00012169584758210635,
+      "loss": 4.5412,
+      "mean_token_accuracy": 0.23175331354141235,
+      "num_tokens": 16710337.0,
+      "step": 9170
+    },
+    {
+      "entropy": 5.182403945922852,
+      "epoch": 7.60149130074565,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00012146210115393025,
+      "loss": 4.4635,
+      "mean_token_accuracy": 0.2343884065747261,
+      "num_tokens": 16719046.0,
+      "step": 9175
+    },
+    {
+      "entropy": 5.217220401763916,
+      "epoch": 7.605633802816901,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00012122866442847455,
+      "loss": 4.5145,
+      "mean_token_accuracy": 0.2259568005800247,
+      "num_tokens": 16727860.0,
+      "step": 9180
+    },
+    {
+      "entropy": 5.235024166107178,
+      "epoch": 7.609776304888152,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00012099553787660654,
+      "loss": 4.5803,
+      "mean_token_accuracy": 0.23205377757549286,
+      "num_tokens": 16737839.0,
+      "step": 9185
+    },
+    {
+      "entropy": 5.158119058609008,
+      "epoch": 7.613918806959403,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00012076272196856808,
+      "loss": 4.4573,
+      "mean_token_accuracy": 0.2307577461004257,
+      "num_tokens": 16746171.0,
+      "step": 9190
+    },
+    {
+      "entropy": 5.198251819610595,
+      "epoch": 7.618061309030654,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0001205302171739742,
+      "loss": 4.4448,
+      "mean_token_accuracy": 0.2381545603275299,
+      "num_tokens": 16755236.0,
+      "step": 9195
+    },
+    {
+      "entropy": 5.211521863937378,
+      "epoch": 7.6222038111019055,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00012029802396181256,
+      "loss": 4.4663,
+      "mean_token_accuracy": 0.2303634077310562,
+      "num_tokens": 16764126.0,
+      "step": 9200
+    },
+    {
+      "entropy": 5.242390394210815,
+      "epoch": 7.626346313173157,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00012006614280044225,
+      "loss": 4.5253,
+      "mean_token_accuracy": 0.2375326469540596,
+      "num_tokens": 16772861.0,
+      "step": 9205
+    },
+    {
+      "entropy": 5.234907102584839,
+      "epoch": 7.630488815244408,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00011983457415759274,
+      "loss": 4.5015,
+      "mean_token_accuracy": 0.23732417970895767,
+      "num_tokens": 16782119.0,
+      "step": 9210
+    },
+    {
+      "entropy": 5.261215591430664,
+      "epoch": 7.634631317315659,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.00011960331850036352,
+      "loss": 4.5405,
+      "mean_token_accuracy": 0.22217481583356857,
+      "num_tokens": 16790531.0,
+      "step": 9215
+    },
+    {
+      "entropy": 5.176897668838501,
+      "epoch": 7.63877381938691,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00011937237629522233,
+      "loss": 4.4532,
+      "mean_token_accuracy": 0.23413067758083345,
+      "num_tokens": 16799516.0,
+      "step": 9220
+    },
+    {
+      "entropy": 5.238109970092774,
+      "epoch": 7.642916321458161,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00011914174800800501,
+      "loss": 4.502,
+      "mean_token_accuracy": 0.2298160970211029,
+      "num_tokens": 16807830.0,
+      "step": 9225
+    },
+    {
+      "entropy": 5.269895887374878,
+      "epoch": 7.647058823529412,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00011891143410391387,
+      "loss": 4.565,
+      "mean_token_accuracy": 0.22582002878189086,
+      "num_tokens": 16816987.0,
+      "step": 9230
+    },
+    {
+      "entropy": 5.18939995765686,
+      "epoch": 7.651201325600663,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00011868143504751732,
+      "loss": 4.3949,
+      "mean_token_accuracy": 0.23891554325819014,
+      "num_tokens": 16825723.0,
+      "step": 9235
+    },
+    {
+      "entropy": 5.219127750396728,
+      "epoch": 7.6553438276719135,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00011845175130274848,
+      "loss": 4.5034,
+      "mean_token_accuracy": 0.23103347569704055,
+      "num_tokens": 16835429.0,
+      "step": 9240
+    },
+    {
+      "entropy": 5.194927597045899,
+      "epoch": 7.659486329743165,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011822238333290475,
+      "loss": 4.4327,
+      "mean_token_accuracy": 0.24837690144777297,
+      "num_tokens": 16844693.0,
+      "step": 9245
+    },
+    {
+      "entropy": 5.20636739730835,
+      "epoch": 7.663628831814416,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00011799333160064617,
+      "loss": 4.4855,
+      "mean_token_accuracy": 0.23225704431533814,
+      "num_tokens": 16853058.0,
+      "step": 9250
+    },
+    {
+      "entropy": 5.287894773483276,
+      "epoch": 7.667771333885667,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0001177645965679953,
+      "loss": 4.5412,
+      "mean_token_accuracy": 0.2231143057346344,
+      "num_tokens": 16863017.0,
+      "step": 9255
+    },
+    {
+      "entropy": 5.163079929351807,
+      "epoch": 7.671913835956918,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00011753617869633561,
+      "loss": 4.4049,
+      "mean_token_accuracy": 0.23928526490926744,
+      "num_tokens": 16872054.0,
+      "step": 9260
+    },
+    {
+      "entropy": 5.2851978778839115,
+      "epoch": 7.676056338028169,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00011730807844641085,
+      "loss": 4.5402,
+      "mean_token_accuracy": 0.2318034812808037,
+      "num_tokens": 16881554.0,
+      "step": 9265
+    },
+    {
+      "entropy": 5.190302848815918,
+      "epoch": 7.68019884009942,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00011708029627832431,
+      "loss": 4.5038,
+      "mean_token_accuracy": 0.23283302932977676,
+      "num_tokens": 16890050.0,
+      "step": 9270
+    },
+    {
+      "entropy": 5.259742593765258,
+      "epoch": 7.684341342170671,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00011685283265153732,
+      "loss": 4.4511,
+      "mean_token_accuracy": 0.2353460371494293,
+      "num_tokens": 16899298.0,
+      "step": 9275
+    },
+    {
+      "entropy": 5.3122483253479,
+      "epoch": 7.688483844241922,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00011662568802486905,
+      "loss": 4.5545,
+      "mean_token_accuracy": 0.22228943407535554,
+      "num_tokens": 16908227.0,
+      "step": 9280
+    },
+    {
+      "entropy": 5.272556734085083,
+      "epoch": 7.692626346313173,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00011639886285649489,
+      "loss": 4.5396,
+      "mean_token_accuracy": 0.22207894474267958,
+      "num_tokens": 16917708.0,
+      "step": 9285
+    },
+    {
+      "entropy": 5.160271692276001,
+      "epoch": 7.6967688483844245,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00011617235760394614,
+      "loss": 4.3672,
+      "mean_token_accuracy": 0.25004381984472274,
+      "num_tokens": 16926108.0,
+      "step": 9290
+    },
+    {
+      "entropy": 5.235444402694702,
+      "epoch": 7.700911350455675,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001159461727241085,
+      "loss": 4.4974,
+      "mean_token_accuracy": 0.22936034947633743,
+      "num_tokens": 16935821.0,
+      "step": 9295
+    },
+    {
+      "entropy": 5.198528051376343,
+      "epoch": 7.705053852526927,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001157203086732217,
+      "loss": 4.5459,
+      "mean_token_accuracy": 0.22811468094587325,
+      "num_tokens": 16944899.0,
+      "step": 9300
+    },
+    {
+      "entropy": 5.187997674942016,
+      "epoch": 7.709196354598177,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00011549476590687811,
+      "loss": 4.4804,
+      "mean_token_accuracy": 0.23926871865987778,
+      "num_tokens": 16953745.0,
+      "step": 9305
+    },
+    {
+      "entropy": 5.313058137893677,
+      "epoch": 7.713338856669428,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00011526954488002227,
+      "loss": 4.5838,
+      "mean_token_accuracy": 0.22520019114017487,
+      "num_tokens": 16962940.0,
+      "step": 9310
+    },
+    {
+      "entropy": 5.229482698440552,
+      "epoch": 7.717481358740679,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00011504464604694953,
+      "loss": 4.4865,
+      "mean_token_accuracy": 0.23147685676813126,
+      "num_tokens": 16971322.0,
+      "step": 9315
+    },
+    {
+      "entropy": 5.245448875427246,
+      "epoch": 7.72162386081193,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00011482006986130533,
+      "loss": 4.4294,
+      "mean_token_accuracy": 0.23540343344211578,
+      "num_tokens": 16980066.0,
+      "step": 9320
+    },
+    {
+      "entropy": 5.247683668136597,
+      "epoch": 7.725766362883181,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00011459581677608453,
+      "loss": 4.5173,
+      "mean_token_accuracy": 0.2335611492395401,
+      "num_tokens": 16989202.0,
+      "step": 9325
+    },
+    {
+      "entropy": 5.193714046478272,
+      "epoch": 7.7299088649544325,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00011437188724362997,
+      "loss": 4.5308,
+      "mean_token_accuracy": 0.22125924676656722,
+      "num_tokens": 16999267.0,
+      "step": 9330
+    },
+    {
+      "entropy": 5.173966312408448,
+      "epoch": 7.734051367025684,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00011414828171563214,
+      "loss": 4.4961,
+      "mean_token_accuracy": 0.2306640401482582,
+      "num_tokens": 17008252.0,
+      "step": 9335
+    },
+    {
+      "entropy": 5.222964191436768,
+      "epoch": 7.738193869096935,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00011392500064312773,
+      "loss": 4.4861,
+      "mean_token_accuracy": 0.23044844567775727,
+      "num_tokens": 17017568.0,
+      "step": 9340
+    },
+    {
+      "entropy": 5.249899530410767,
+      "epoch": 7.742336371168186,
+      "grad_norm": 1.578125,
+      "learning_rate": 0.000113702044476499,
+      "loss": 4.4943,
+      "mean_token_accuracy": 0.2308612123131752,
+      "num_tokens": 17026206.0,
+      "step": 9345
+    },
+    {
+      "entropy": 5.2420073509216305,
+      "epoch": 7.746478873239437,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00011347941366547303,
+      "loss": 4.4643,
+      "mean_token_accuracy": 0.23350251317024232,
+      "num_tokens": 17035114.0,
+      "step": 9350
+    },
+    {
+      "entropy": 5.238725233078003,
+      "epoch": 7.750621375310688,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001132571086591204,
+      "loss": 4.5356,
+      "mean_token_accuracy": 0.2302680641412735,
+      "num_tokens": 17044459.0,
+      "step": 9355
+    },
+    {
+      "entropy": 5.248926877975464,
+      "epoch": 7.754763877381938,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001130351299058547,
+      "loss": 4.5629,
+      "mean_token_accuracy": 0.220232954621315,
+      "num_tokens": 17053985.0,
+      "step": 9360
+    },
+    {
+      "entropy": 5.184970664978027,
+      "epoch": 7.758906379453189,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00011281347785343127,
+      "loss": 4.3551,
+      "mean_token_accuracy": 0.24387124329805374,
+      "num_tokens": 17063136.0,
+      "step": 9365
+    },
+    {
+      "entropy": 5.232142210006714,
+      "epoch": 7.7630488815244405,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00011259215294894647,
+      "loss": 4.5255,
+      "mean_token_accuracy": 0.22341912239789963,
+      "num_tokens": 17072423.0,
+      "step": 9370
+    },
+    {
+      "entropy": 5.20652437210083,
+      "epoch": 7.767191383595692,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00011237115563883693,
+      "loss": 4.4755,
+      "mean_token_accuracy": 0.23369871973991393,
+      "num_tokens": 17080578.0,
+      "step": 9375
+    },
+    {
+      "entropy": 5.195418119430542,
+      "epoch": 7.771333885666943,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00011215048636887825,
+      "loss": 4.4118,
+      "mean_token_accuracy": 0.24118203073740005,
+      "num_tokens": 17089995.0,
+      "step": 9380
+    },
+    {
+      "entropy": 5.147100353240967,
+      "epoch": 7.775476387738194,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001119301455841846,
+      "loss": 4.4097,
+      "mean_token_accuracy": 0.2331821948289871,
+      "num_tokens": 17099659.0,
+      "step": 9385
+    },
+    {
+      "entropy": 5.245456647872925,
+      "epoch": 7.779618889809445,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00011171013372920735,
+      "loss": 4.5308,
+      "mean_token_accuracy": 0.2302419975399971,
+      "num_tokens": 17109972.0,
+      "step": 9390
+    },
+    {
+      "entropy": 5.282257461547852,
+      "epoch": 7.783761391880696,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00011149045124773441,
+      "loss": 4.617,
+      "mean_token_accuracy": 0.2195971965789795,
+      "num_tokens": 17120288.0,
+      "step": 9395
+    },
+    {
+      "entropy": 5.251280069351196,
+      "epoch": 7.787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00011127109858288945,
+      "loss": 4.5275,
+      "mean_token_accuracy": 0.23744001388549804,
+      "num_tokens": 17130577.0,
+      "step": 9400
+    },
+    {
+      "entropy": 5.277375173568726,
+      "epoch": 7.792046396023198,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00011105207617713065,
+      "loss": 4.5846,
+      "mean_token_accuracy": 0.22438258528709412,
+      "num_tokens": 17140782.0,
+      "step": 9405
+    },
+    {
+      "entropy": 5.172359895706177,
+      "epoch": 7.796188898094449,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00011083338447225027,
+      "loss": 4.4852,
+      "mean_token_accuracy": 0.22962091118097305,
+      "num_tokens": 17150013.0,
+      "step": 9410
+    },
+    {
+      "entropy": 5.282632112503052,
+      "epoch": 7.8003314001657,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00011061502390937331,
+      "loss": 4.5287,
+      "mean_token_accuracy": 0.22322992384433746,
+      "num_tokens": 17159349.0,
+      "step": 9415
+    },
+    {
+      "entropy": 5.277588748931885,
+      "epoch": 7.804473902236952,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.0001103969949289568,
+      "loss": 4.5575,
+      "mean_token_accuracy": 0.23068788200616835,
+      "num_tokens": 17168063.0,
+      "step": 9420
+    },
+    {
+      "entropy": 5.27054352760315,
+      "epoch": 7.808616404308202,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00011017929797078919,
+      "loss": 4.5128,
+      "mean_token_accuracy": 0.22348960638046264,
+      "num_tokens": 17177087.0,
+      "step": 9425
+    },
+    {
+      "entropy": 5.23571743965149,
+      "epoch": 7.812758906379453,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00010996193347398886,
+      "loss": 4.4804,
+      "mean_token_accuracy": 0.2383258655667305,
+      "num_tokens": 17186875.0,
+      "step": 9430
+    },
+    {
+      "entropy": 5.23639702796936,
+      "epoch": 7.816901408450704,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00010974490187700394,
+      "loss": 4.5367,
+      "mean_token_accuracy": 0.2227595865726471,
+      "num_tokens": 17195666.0,
+      "step": 9435
+    },
+    {
+      "entropy": 5.224313688278198,
+      "epoch": 7.821043910521955,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0001095282036176107,
+      "loss": 4.4819,
+      "mean_token_accuracy": 0.22626830786466598,
+      "num_tokens": 17205145.0,
+      "step": 9440
+    },
+    {
+      "entropy": 5.25811996459961,
+      "epoch": 7.825186412593206,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00010931183913291335,
+      "loss": 4.5312,
+      "mean_token_accuracy": 0.2275287076830864,
+      "num_tokens": 17214106.0,
+      "step": 9445
+    },
+    {
+      "entropy": 5.185547399520874,
+      "epoch": 7.829328914664457,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00010909580885934265,
+      "loss": 4.3977,
+      "mean_token_accuracy": 0.24248179346323012,
+      "num_tokens": 17223343.0,
+      "step": 9450
+    },
+    {
+      "entropy": 5.235095453262329,
+      "epoch": 7.8334714167357085,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00010888011323265517,
+      "loss": 4.5538,
+      "mean_token_accuracy": 0.22286391854286194,
+      "num_tokens": 17233528.0,
+      "step": 9455
+    },
+    {
+      "entropy": 5.166561889648437,
+      "epoch": 7.83761391880696,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00010866475268793275,
+      "loss": 4.417,
+      "mean_token_accuracy": 0.23417006582021713,
+      "num_tokens": 17242026.0,
+      "step": 9460
+    },
+    {
+      "entropy": 5.164305257797241,
+      "epoch": 7.841756420878211,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00010844972765958096,
+      "loss": 4.4521,
+      "mean_token_accuracy": 0.23989777714014054,
+      "num_tokens": 17251203.0,
+      "step": 9465
+    },
+    {
+      "entropy": 5.134662532806397,
+      "epoch": 7.845898922949462,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00010823503858132894,
+      "loss": 4.3833,
+      "mean_token_accuracy": 0.23944269567728044,
+      "num_tokens": 17260072.0,
+      "step": 9470
+    },
+    {
+      "entropy": 5.221753406524658,
+      "epoch": 7.850041425020713,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00010802068588622793,
+      "loss": 4.515,
+      "mean_token_accuracy": 0.23257962763309478,
+      "num_tokens": 17269015.0,
+      "step": 9475
+    },
+    {
+      "entropy": 5.2019994258880615,
+      "epoch": 7.854183927091963,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00010780667000665067,
+      "loss": 4.4506,
+      "mean_token_accuracy": 0.24606569111347198,
+      "num_tokens": 17277721.0,
+      "step": 9480
+    },
+    {
+      "entropy": 5.219488096237183,
+      "epoch": 7.858326429163214,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00010759299137429073,
+      "loss": 4.5167,
+      "mean_token_accuracy": 0.2341366305947304,
+      "num_tokens": 17286805.0,
+      "step": 9485
+    },
+    {
+      "entropy": 5.258726453781128,
+      "epoch": 7.862468931234465,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00010737965042016116,
+      "loss": 4.5958,
+      "mean_token_accuracy": 0.22132833003997804,
+      "num_tokens": 17297577.0,
+      "step": 9490
+    },
+    {
+      "entropy": 5.259564542770386,
+      "epoch": 7.866611433305716,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00010716664757459404,
+      "loss": 4.4898,
+      "mean_token_accuracy": 0.2290081799030304,
+      "num_tokens": 17306620.0,
+      "step": 9495
+    },
+    {
+      "entropy": 5.2478546619415285,
+      "epoch": 7.8707539353769675,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00010695398326723938,
+      "loss": 4.5186,
+      "mean_token_accuracy": 0.22088584303855896,
+      "num_tokens": 17314796.0,
+      "step": 9500
+    },
+    {
+      "epoch": 7.8707539353769675,
+      "eval_entropy": 5.124833188331458,
+      "eval_loss": 5.722036838531494,
+      "eval_mean_token_accuracy": 0.16973218553737282,
+      "eval_num_tokens": 17314796.0,
+      "eval_runtime": 2.7518,
+      "eval_samples_per_second": 1361.662,
+      "eval_steps_per_second": 170.435,
+      "step": 9500
+    },
+    {
+      "entropy": 5.254538726806641,
+      "epoch": 7.874896437448219,
+      "grad_norm": 1.59375,
+      "learning_rate": 0.00010674165792706423,
+      "loss": 4.5362,
+      "mean_token_accuracy": 0.2321956381201744,
+      "num_tokens": 17324048.0,
+      "step": 9505
+    },
+    {
+      "entropy": 5.231704330444336,
+      "epoch": 7.87903893951947,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00010652967198235214,
+      "loss": 4.5016,
+      "mean_token_accuracy": 0.22966693341732025,
+      "num_tokens": 17333354.0,
+      "step": 9510
+    },
+    {
+      "entropy": 5.187391471862793,
+      "epoch": 7.883181441590721,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001063180258607018,
+      "loss": 4.4236,
+      "mean_token_accuracy": 0.24541445523500444,
+      "num_tokens": 17343026.0,
+      "step": 9515
+    },
+    {
+      "entropy": 5.156158971786499,
+      "epoch": 7.887323943661972,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00010610671998902671,
+      "loss": 4.3988,
+      "mean_token_accuracy": 0.2460971713066101,
+      "num_tokens": 17351161.0,
+      "step": 9520
+    },
+    {
+      "entropy": 5.217752170562744,
+      "epoch": 7.891466445733223,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00010589575479355379,
+      "loss": 4.4439,
+      "mean_token_accuracy": 0.23356560468673707,
+      "num_tokens": 17360697.0,
+      "step": 9525
+    },
+    {
+      "entropy": 5.239214277267456,
+      "epoch": 7.895608947804474,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00010568513069982289,
+      "loss": 4.52,
+      "mean_token_accuracy": 0.22984081357717515,
+      "num_tokens": 17370303.0,
+      "step": 9530
+    },
+    {
+      "entropy": 5.209999418258667,
+      "epoch": 7.899751449875725,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00010547484813268594,
+      "loss": 4.4913,
+      "mean_token_accuracy": 0.2257639542222023,
+      "num_tokens": 17379557.0,
+      "step": 9535
+    },
+    {
+      "entropy": 5.242380571365357,
+      "epoch": 7.903893951946976,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00010526490751630568,
+      "loss": 4.5388,
+      "mean_token_accuracy": 0.2311421036720276,
+      "num_tokens": 17388206.0,
+      "step": 9540
+    },
+    {
+      "entropy": 5.27910270690918,
+      "epoch": 7.908036454018227,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00010505530927415544,
+      "loss": 4.5921,
+      "mean_token_accuracy": 0.22979632169008254,
+      "num_tokens": 17398055.0,
+      "step": 9545
+    },
+    {
+      "entropy": 5.15529146194458,
+      "epoch": 7.912178956089478,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00010484605382901772,
+      "loss": 4.3899,
+      "mean_token_accuracy": 0.2327595457434654,
+      "num_tokens": 17407214.0,
+      "step": 9550
+    },
+    {
+      "entropy": 5.2571430683135985,
+      "epoch": 7.916321458160729,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00010463714160298354,
+      "loss": 4.5125,
+      "mean_token_accuracy": 0.23076227605342864,
+      "num_tokens": 17416447.0,
+      "step": 9555
+    },
+    {
+      "entropy": 5.230874300003052,
+      "epoch": 7.92046396023198,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.00010442857301745184,
+      "loss": 4.5231,
+      "mean_token_accuracy": 0.22791534811258315,
+      "num_tokens": 17424921.0,
+      "step": 9560
+    },
+    {
+      "entropy": 5.141931629180908,
+      "epoch": 7.924606462303231,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0001042203484931281,
+      "loss": 4.3655,
+      "mean_token_accuracy": 0.2378263220191002,
+      "num_tokens": 17434425.0,
+      "step": 9565
+    },
+    {
+      "entropy": 5.186363983154297,
+      "epoch": 7.928748964374482,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00010401246845002407,
+      "loss": 4.4757,
+      "mean_token_accuracy": 0.23377338647842408,
+      "num_tokens": 17443879.0,
+      "step": 9570
+    },
+    {
+      "entropy": 5.210091876983642,
+      "epoch": 7.932891466445733,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00010380493330745641,
+      "loss": 4.4587,
+      "mean_token_accuracy": 0.23192314356565474,
+      "num_tokens": 17452276.0,
+      "step": 9575
+    },
+    {
+      "entropy": 5.215310287475586,
+      "epoch": 7.937033968516984,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00010359774348404626,
+      "loss": 4.4939,
+      "mean_token_accuracy": 0.23562314212322236,
+      "num_tokens": 17460706.0,
+      "step": 9580
+    },
+    {
+      "entropy": 5.224613237380981,
+      "epoch": 7.9411764705882355,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.00010339089939771814,
+      "loss": 4.5236,
+      "mean_token_accuracy": 0.23302816599607468,
+      "num_tokens": 17469754.0,
+      "step": 9585
+    },
+    {
+      "entropy": 5.229640674591065,
+      "epoch": 7.945318972659487,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00010318440146569904,
+      "loss": 4.6337,
+      "mean_token_accuracy": 0.21704740524291993,
+      "num_tokens": 17480057.0,
+      "step": 9590
+    },
+    {
+      "entropy": 5.159609174728393,
+      "epoch": 7.949461474730738,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00010297825010451806,
+      "loss": 4.4828,
+      "mean_token_accuracy": 0.2280757188796997,
+      "num_tokens": 17490427.0,
+      "step": 9595
+    },
+    {
+      "entropy": 5.2409614562988285,
+      "epoch": 7.953603976801988,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001027724457300048,
+      "loss": 4.5002,
+      "mean_token_accuracy": 0.22425992041826248,
+      "num_tokens": 17499105.0,
+      "step": 9600
+    },
+    {
+      "entropy": 5.23765196800232,
+      "epoch": 7.957746478873239,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00010256698875728938,
+      "loss": 4.547,
+      "mean_token_accuracy": 0.22590158581733705,
+      "num_tokens": 17508499.0,
+      "step": 9605
+    },
+    {
+      "entropy": 5.163430261611938,
+      "epoch": 7.96188898094449,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00010236187960080084,
+      "loss": 4.4222,
+      "mean_token_accuracy": 0.23525544255971909,
+      "num_tokens": 17516885.0,
+      "step": 9610
+    },
+    {
+      "entropy": 5.1939342498779295,
+      "epoch": 7.966031483015741,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00010215711867426678,
+      "loss": 4.4244,
+      "mean_token_accuracy": 0.23281094878911973,
+      "num_tokens": 17524958.0,
+      "step": 9615
+    },
+    {
+      "entropy": 5.214349365234375,
+      "epoch": 7.970173985086992,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00010195270639071243,
+      "loss": 4.5069,
+      "mean_token_accuracy": 0.2273066148161888,
+      "num_tokens": 17534185.0,
+      "step": 9620
+    },
+    {
+      "entropy": 5.249651336669922,
+      "epoch": 7.9743164871582435,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001017486431624596,
+      "loss": 4.5279,
+      "mean_token_accuracy": 0.23122728317976,
+      "num_tokens": 17542696.0,
+      "step": 9625
+    },
+    {
+      "entropy": 5.185487270355225,
+      "epoch": 7.978458989229495,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00010154492940112624,
+      "loss": 4.4113,
+      "mean_token_accuracy": 0.24716590344905853,
+      "num_tokens": 17552751.0,
+      "step": 9630
+    },
+    {
+      "entropy": 5.29529037475586,
+      "epoch": 7.982601491300746,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00010134156551762519,
+      "loss": 4.5379,
+      "mean_token_accuracy": 0.2170561745762825,
+      "num_tokens": 17561973.0,
+      "step": 9635
+    },
+    {
+      "entropy": 5.267471647262573,
+      "epoch": 7.986743993371997,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00010113855192216359,
+      "loss": 4.5527,
+      "mean_token_accuracy": 0.2246631383895874,
+      "num_tokens": 17571238.0,
+      "step": 9640
+    },
+    {
+      "entropy": 5.232839488983155,
+      "epoch": 7.990886495443248,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00010093588902424217,
+      "loss": 4.4622,
+      "mean_token_accuracy": 0.23793471455574036,
+      "num_tokens": 17580189.0,
+      "step": 9645
+    },
+    {
+      "entropy": 5.242947244644165,
+      "epoch": 7.995028997514499,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00010073357723265398,
+      "loss": 4.5355,
+      "mean_token_accuracy": 0.22305892258882523,
+      "num_tokens": 17590051.0,
+      "step": 9650
+    },
+    {
+      "entropy": 5.258848190307617,
+      "epoch": 7.99917149958575,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00010053161695548418,
+      "loss": 4.5267,
+      "mean_token_accuracy": 0.22477346956729888,
+      "num_tokens": 17599036.0,
+      "step": 9655
+    },
+    {
+      "entropy": 5.2261518955230715,
+      "epoch": 8.003314001657001,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00010033000860010866,
+      "loss": 4.407,
+      "mean_token_accuracy": 0.2392567962408066,
+      "num_tokens": 17608433.0,
+      "step": 9660
+    },
+    {
+      "entropy": 5.227947092056274,
+      "epoch": 8.007456503728251,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001001287525731934,
+      "loss": 4.4214,
+      "mean_token_accuracy": 0.23113029599189758,
+      "num_tokens": 17617696.0,
+      "step": 9665
+    },
+    {
+      "entropy": 5.220786905288696,
+      "epoch": 8.011599005799503,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.992784928069397e-05,
+      "loss": 4.4613,
+      "mean_token_accuracy": 0.23347013741731643,
+      "num_tokens": 17626619.0,
+      "step": 9670
+    },
+    {
+      "entropy": 5.207056665420533,
+      "epoch": 8.015741507870754,
+      "grad_norm": 1.453125,
+      "learning_rate": 9.972729912785411e-05,
+      "loss": 4.3419,
+      "mean_token_accuracy": 0.24283643662929535,
+      "num_tokens": 17635306.0,
+      "step": 9675
+    },
+    {
+      "entropy": 5.166647005081177,
+      "epoch": 8.019884009942006,
+      "grad_norm": 1.5703125,
+      "learning_rate": 9.95271025192055e-05,
+      "loss": 4.3254,
+      "mean_token_accuracy": 0.24794788360595704,
+      "num_tokens": 17643526.0,
+      "step": 9680
+    },
+    {
+      "entropy": 5.258458948135376,
+      "epoch": 8.024026512013256,
+      "grad_norm": 1.484375,
+      "learning_rate": 9.93272598585665e-05,
+      "loss": 4.5109,
+      "mean_token_accuracy": 0.22621739655733109,
+      "num_tokens": 17652474.0,
+      "step": 9685
+    },
+    {
+      "entropy": 5.182386016845703,
+      "epoch": 8.028169014084508,
+      "grad_norm": 1.3828125,
+      "learning_rate": 9.912777154904171e-05,
+      "loss": 4.4387,
+      "mean_token_accuracy": 0.2345404177904129,
+      "num_tokens": 17662025.0,
+      "step": 9690
+    },
+    {
+      "entropy": 5.121964597702027,
+      "epoch": 8.032311516155758,
+      "grad_norm": 1.40625,
+      "learning_rate": 9.89286379930207e-05,
+      "loss": 4.3627,
+      "mean_token_accuracy": 0.24598751664161683,
+      "num_tokens": 17670908.0,
+      "step": 9695
+    },
+    {
+      "entropy": 5.156725072860718,
+      "epoch": 8.036454018227008,
+      "grad_norm": 1.375,
+      "learning_rate": 9.872985959217779e-05,
+      "loss": 4.3483,
+      "mean_token_accuracy": 0.25048859864473344,
+      "num_tokens": 17681242.0,
+      "step": 9700
+    },
+    {
+      "entropy": 5.181863164901733,
+      "epoch": 8.04059652029826,
+      "grad_norm": 1.4921875,
+      "learning_rate": 9.853143674747053e-05,
+      "loss": 4.3156,
+      "mean_token_accuracy": 0.2496207669377327,
+      "num_tokens": 17689816.0,
+      "step": 9705
+    },
+    {
+      "entropy": 5.230922269821167,
+      "epoch": 8.04473902236951,
+      "grad_norm": 1.3984375,
+      "learning_rate": 9.833336985913965e-05,
+      "loss": 4.4079,
+      "mean_token_accuracy": 0.24356723576784134,
+      "num_tokens": 17699251.0,
+      "step": 9710
+    },
+    {
+      "entropy": 5.25123929977417,
+      "epoch": 8.048881524440763,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.813565932670767e-05,
+      "loss": 4.446,
+      "mean_token_accuracy": 0.24057540595531463,
+      "num_tokens": 17708906.0,
+      "step": 9715
+    },
+    {
+      "entropy": 5.302001190185547,
+      "epoch": 8.053024026512013,
+      "grad_norm": 1.4375,
+      "learning_rate": 9.793830554897826e-05,
+      "loss": 4.4337,
+      "mean_token_accuracy": 0.23162751942873,
+      "num_tokens": 17718071.0,
+      "step": 9720
+    },
+    {
+      "entropy": 5.1823859214782715,
+      "epoch": 8.057166528583265,
+      "grad_norm": 1.3515625,
+      "learning_rate": 9.774130892403566e-05,
+      "loss": 4.3382,
+      "mean_token_accuracy": 0.24795254766941072,
+      "num_tokens": 17727690.0,
+      "step": 9725
+    },
+    {
+      "entropy": 5.172320461273193,
+      "epoch": 8.061309030654515,
+      "grad_norm": 1.484375,
+      "learning_rate": 9.754466984924348e-05,
+      "loss": 4.3471,
+      "mean_token_accuracy": 0.2395310789346695,
+      "num_tokens": 17735934.0,
+      "step": 9730
+    },
+    {
+      "entropy": 5.17168607711792,
+      "epoch": 8.065451532725767,
+      "grad_norm": 1.4609375,
+      "learning_rate": 9.734838872124432e-05,
+      "loss": 4.3454,
+      "mean_token_accuracy": 0.24042212218046188,
+      "num_tokens": 17744323.0,
+      "step": 9735
+    },
+    {
+      "entropy": 5.1320466041564945,
+      "epoch": 8.069594034797017,
+      "grad_norm": 1.3515625,
+      "learning_rate": 9.715246593595859e-05,
+      "loss": 4.3431,
+      "mean_token_accuracy": 0.24951379895210266,
+      "num_tokens": 17753335.0,
+      "step": 9740
+    },
+    {
+      "entropy": 5.1748122215271,
+      "epoch": 8.07373653686827,
+      "grad_norm": 1.4609375,
+      "learning_rate": 9.695690188858408e-05,
+      "loss": 4.3963,
+      "mean_token_accuracy": 0.24002762883901596,
+      "num_tokens": 17761952.0,
+      "step": 9745
+    },
+    {
+      "entropy": 5.260321378707886,
+      "epoch": 8.07787903893952,
+      "grad_norm": 1.4765625,
+      "learning_rate": 9.676169697359469e-05,
+      "loss": 4.4649,
+      "mean_token_accuracy": 0.24228229522705078,
+      "num_tokens": 17771341.0,
+      "step": 9750
+    },
+    {
+      "entropy": 5.1761212825775145,
+      "epoch": 8.08202154101077,
+      "grad_norm": 1.328125,
+      "learning_rate": 9.656685158474018e-05,
+      "loss": 4.3596,
+      "mean_token_accuracy": 0.24516458809375763,
+      "num_tokens": 17780289.0,
+      "step": 9755
+    },
+    {
+      "entropy": 5.217165899276734,
+      "epoch": 8.086164043082022,
+      "grad_norm": 1.546875,
+      "learning_rate": 9.63723661150449e-05,
+      "loss": 4.4392,
+      "mean_token_accuracy": 0.23620954900979996,
+      "num_tokens": 17789317.0,
+      "step": 9760
+    },
+    {
+      "entropy": 5.302271842956543,
+      "epoch": 8.090306545153272,
+      "grad_norm": 1.515625,
+      "learning_rate": 9.617824095680742e-05,
+      "loss": 4.4804,
+      "mean_token_accuracy": 0.2370125576853752,
+      "num_tokens": 17797875.0,
+      "step": 9765
+    },
+    {
+      "entropy": 5.219267177581787,
+      "epoch": 8.094449047224524,
+      "grad_norm": 1.3203125,
+      "learning_rate": 9.598447650159931e-05,
+      "loss": 4.4245,
+      "mean_token_accuracy": 0.24013179689645767,
+      "num_tokens": 17806603.0,
+      "step": 9770
+    },
+    {
+      "entropy": 5.327665138244629,
+      "epoch": 8.098591549295774,
+      "grad_norm": 1.46875,
+      "learning_rate": 9.579107314026459e-05,
+      "loss": 4.5079,
+      "mean_token_accuracy": 0.22462410479784012,
+      "num_tokens": 17815747.0,
+      "step": 9775
+    },
+    {
+      "entropy": 5.211456394195556,
+      "epoch": 8.102734051367026,
+      "grad_norm": 1.359375,
+      "learning_rate": 9.559803126291911e-05,
+      "loss": 4.3642,
+      "mean_token_accuracy": 0.23971107304096223,
+      "num_tokens": 17824568.0,
+      "step": 9780
+    },
+    {
+      "entropy": 5.275164175033569,
+      "epoch": 8.106876553438276,
+      "grad_norm": 1.390625,
+      "learning_rate": 9.540535125894931e-05,
+      "loss": 4.4685,
+      "mean_token_accuracy": 0.24380181431770326,
+      "num_tokens": 17834244.0,
+      "step": 9785
+    },
+    {
+      "entropy": 5.198601388931275,
+      "epoch": 8.111019055509528,
+      "grad_norm": 1.46875,
+      "learning_rate": 9.521303351701193e-05,
+      "loss": 4.3476,
+      "mean_token_accuracy": 0.24773648232221604,
+      "num_tokens": 17843285.0,
+      "step": 9790
+    },
+    {
+      "entropy": 5.232069730758667,
+      "epoch": 8.115161557580779,
+      "grad_norm": 1.390625,
+      "learning_rate": 9.502107842503282e-05,
+      "loss": 4.4455,
+      "mean_token_accuracy": 0.24342902153730392,
+      "num_tokens": 17852379.0,
+      "step": 9795
+    },
+    {
+      "entropy": 5.213220930099487,
+      "epoch": 8.11930405965203,
+      "grad_norm": 1.4375,
+      "learning_rate": 9.48294863702063e-05,
+      "loss": 4.3962,
+      "mean_token_accuracy": 0.24655861258506775,
+      "num_tokens": 17861948.0,
+      "step": 9800
+    },
+    {
+      "entropy": 5.206108331680298,
+      "epoch": 8.12344656172328,
+      "grad_norm": 1.40625,
+      "learning_rate": 9.463825773899465e-05,
+      "loss": 4.3549,
+      "mean_token_accuracy": 0.24822819530963897,
+      "num_tokens": 17870445.0,
+      "step": 9805
+    },
+    {
+      "entropy": 5.2526586055755615,
+      "epoch": 8.127589063794533,
+      "grad_norm": 1.3984375,
+      "learning_rate": 9.444739291712673e-05,
+      "loss": 4.4184,
+      "mean_token_accuracy": 0.2502383813261986,
+      "num_tokens": 17879380.0,
+      "step": 9810
+    },
+    {
+      "entropy": 5.200527477264404,
+      "epoch": 8.131731565865783,
+      "grad_norm": 1.3671875,
+      "learning_rate": 9.425689228959791e-05,
+      "loss": 4.4375,
+      "mean_token_accuracy": 0.23672084957361222,
+      "num_tokens": 17888631.0,
+      "step": 9815
+    },
+    {
+      "entropy": 5.180902576446533,
+      "epoch": 8.135874067937033,
+      "grad_norm": 1.390625,
+      "learning_rate": 9.406675624066868e-05,
+      "loss": 4.3782,
+      "mean_token_accuracy": 0.2451987087726593,
+      "num_tokens": 17898541.0,
+      "step": 9820
+    },
+    {
+      "entropy": 5.233185815811157,
+      "epoch": 8.140016570008285,
+      "grad_norm": 1.5078125,
+      "learning_rate": 9.38769851538642e-05,
+      "loss": 4.3855,
+      "mean_token_accuracy": 0.24561118185520173,
+      "num_tokens": 17906664.0,
+      "step": 9825
+    },
+    {
+      "entropy": 5.207144069671631,
+      "epoch": 8.144159072079535,
+      "grad_norm": 1.4609375,
+      "learning_rate": 9.368757941197356e-05,
+      "loss": 4.3938,
+      "mean_token_accuracy": 0.24579526335000992,
+      "num_tokens": 17916201.0,
+      "step": 9830
+    },
+    {
+      "entropy": 5.240351390838623,
+      "epoch": 8.148301574150787,
+      "grad_norm": 1.2734375,
+      "learning_rate": 9.34985393970488e-05,
+      "loss": 4.4433,
+      "mean_token_accuracy": 0.23590292483568193,
+      "num_tokens": 17925700.0,
+      "step": 9835
+    },
+    {
+      "entropy": 5.180185317993164,
+      "epoch": 8.152444076222038,
+      "grad_norm": 1.421875,
+      "learning_rate": 9.330986549040432e-05,
+      "loss": 4.3908,
+      "mean_token_accuracy": 0.24027481973171233,
+      "num_tokens": 17934293.0,
+      "step": 9840
+    },
+    {
+      "entropy": 5.178470325469971,
+      "epoch": 8.15658657829329,
+      "grad_norm": 1.34375,
+      "learning_rate": 9.312155807261602e-05,
+      "loss": 4.4131,
+      "mean_token_accuracy": 0.2327113226056099,
+      "num_tokens": 17943541.0,
+      "step": 9845
+    },
+    {
+      "entropy": 5.2424520492553714,
+      "epoch": 8.16072908036454,
+      "grad_norm": 1.2890625,
+      "learning_rate": 9.293361752352045e-05,
+      "loss": 4.4064,
+      "mean_token_accuracy": 0.24514926224946976,
+      "num_tokens": 17952616.0,
+      "step": 9850
+    },
+    {
+      "entropy": 5.255953550338745,
+      "epoch": 8.164871582435792,
+      "grad_norm": 1.328125,
+      "learning_rate": 9.274604422221433e-05,
+      "loss": 4.3449,
+      "mean_token_accuracy": 0.2437419757246971,
+      "num_tokens": 17961414.0,
+      "step": 9855
+    },
+    {
+      "entropy": 5.2429039001464846,
+      "epoch": 8.169014084507042,
+      "grad_norm": 1.421875,
+      "learning_rate": 9.255883854705344e-05,
+      "loss": 4.4505,
+      "mean_token_accuracy": 0.23757243603467942,
+      "num_tokens": 17972077.0,
+      "step": 9860
+    },
+    {
+      "entropy": 5.207650089263916,
+      "epoch": 8.173156586578294,
+      "grad_norm": 1.4375,
+      "learning_rate": 9.237200087565217e-05,
+      "loss": 4.3777,
+      "mean_token_accuracy": 0.2455221474170685,
+      "num_tokens": 17980303.0,
+      "step": 9865
+    },
+    {
+      "entropy": 5.269549179077148,
+      "epoch": 8.177299088649544,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.218553158488238e-05,
+      "loss": 4.4719,
+      "mean_token_accuracy": 0.23264755457639694,
+      "num_tokens": 17990410.0,
+      "step": 9870
+    },
+    {
+      "entropy": 5.2003992080688475,
+      "epoch": 8.181441590720794,
+      "grad_norm": 1.390625,
+      "learning_rate": 9.199943105087319e-05,
+      "loss": 4.351,
+      "mean_token_accuracy": 0.24489290416240692,
+      "num_tokens": 17998931.0,
+      "step": 9875
+    },
+    {
+      "entropy": 5.211326789855957,
+      "epoch": 8.185584092792046,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.181369964900957e-05,
+      "loss": 4.4133,
+      "mean_token_accuracy": 0.24307847917079925,
+      "num_tokens": 18007853.0,
+      "step": 9880
+    },
+    {
+      "entropy": 5.2086700916290285,
+      "epoch": 8.189726594863297,
+      "grad_norm": 1.421875,
+      "learning_rate": 9.162833775393209e-05,
+      "loss": 4.3599,
+      "mean_token_accuracy": 0.2421637535095215,
+      "num_tokens": 18016517.0,
+      "step": 9885
+    },
+    {
+      "entropy": 5.26172833442688,
+      "epoch": 8.193869096934549,
+      "grad_norm": 1.4609375,
+      "learning_rate": 9.1443345739536e-05,
+      "loss": 4.4611,
+      "mean_token_accuracy": 0.2355372652411461,
+      "num_tokens": 18025057.0,
+      "step": 9890
+    },
+    {
+      "entropy": 5.222227954864502,
+      "epoch": 8.198011599005799,
+      "grad_norm": 1.4375,
+      "learning_rate": 9.12587239789703e-05,
+      "loss": 4.4596,
+      "mean_token_accuracy": 0.23549663424491882,
+      "num_tokens": 18034371.0,
+      "step": 9895
+    },
+    {
+      "entropy": 5.189918756484985,
+      "epoch": 8.202154101077051,
+      "grad_norm": 1.4453125,
+      "learning_rate": 9.10744728446374e-05,
+      "loss": 4.4308,
+      "mean_token_accuracy": 0.23917066752910615,
+      "num_tokens": 18043354.0,
+      "step": 9900
+    },
+    {
+      "entropy": 5.180388689041138,
+      "epoch": 8.206296603148301,
+      "grad_norm": 1.484375,
+      "learning_rate": 9.089059270819187e-05,
+      "loss": 4.3861,
+      "mean_token_accuracy": 0.2423325479030609,
+      "num_tokens": 18051879.0,
+      "step": 9905
+    },
+    {
+      "entropy": 5.280764532089234,
+      "epoch": 8.210439105219553,
+      "grad_norm": 1.359375,
+      "learning_rate": 9.070708394054005e-05,
+      "loss": 4.4389,
+      "mean_token_accuracy": 0.23874785751104355,
+      "num_tokens": 18062011.0,
+      "step": 9910
+    },
+    {
+      "entropy": 5.26232795715332,
+      "epoch": 8.214581607290803,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.052394691183921e-05,
+      "loss": 4.5075,
+      "mean_token_accuracy": 0.2256281480193138,
+      "num_tokens": 18071692.0,
+      "step": 9915
+    },
+    {
+      "entropy": 5.1943741798400875,
+      "epoch": 8.218724109362055,
+      "grad_norm": 1.3359375,
+      "learning_rate": 9.03411819914967e-05,
+      "loss": 4.3481,
+      "mean_token_accuracy": 0.24199035614728928,
+      "num_tokens": 18080646.0,
+      "step": 9920
+    },
+    {
+      "entropy": 5.1856715202331545,
+      "epoch": 8.222866611433306,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.015878954816941e-05,
+      "loss": 4.3647,
+      "mean_token_accuracy": 0.24757557958364487,
+      "num_tokens": 18088788.0,
+      "step": 9925
+    },
+    {
+      "entropy": 5.228688716888428,
+      "epoch": 8.227009113504558,
+      "grad_norm": 1.453125,
+      "learning_rate": 8.997676994976281e-05,
+      "loss": 4.4286,
+      "mean_token_accuracy": 0.23555690944194793,
+      "num_tokens": 18098319.0,
+      "step": 9930
+    },
+    {
+      "entropy": 5.214864444732666,
+      "epoch": 8.231151615575808,
+      "grad_norm": 1.34375,
+      "learning_rate": 8.979512356343023e-05,
+      "loss": 4.4766,
+      "mean_token_accuracy": 0.23683355748653412,
+      "num_tokens": 18107740.0,
+      "step": 9935
+    },
+    {
+      "entropy": 5.220425271987915,
+      "epoch": 8.235294117647058,
+      "grad_norm": 1.4453125,
+      "learning_rate": 8.961385075557243e-05,
+      "loss": 4.4552,
+      "mean_token_accuracy": 0.2304172098636627,
+      "num_tokens": 18117762.0,
+      "step": 9940
+    },
+    {
+      "entropy": 5.15520453453064,
+      "epoch": 8.23943661971831,
+      "grad_norm": 1.5,
+      "learning_rate": 8.943295189183632e-05,
+      "loss": 4.3286,
+      "mean_token_accuracy": 0.24465882033109665,
+      "num_tokens": 18126212.0,
+      "step": 9945
+    },
+    {
+      "entropy": 5.267645978927613,
+      "epoch": 8.24357912178956,
+      "grad_norm": 1.53125,
+      "learning_rate": 8.925242733711484e-05,
+      "loss": 4.4863,
+      "mean_token_accuracy": 0.23138361871242524,
+      "num_tokens": 18135622.0,
+      "step": 9950
+    },
+    {
+      "entropy": 5.260131311416626,
+      "epoch": 8.247721623860812,
+      "grad_norm": 1.5078125,
+      "learning_rate": 8.90722774555456e-05,
+      "loss": 4.4379,
+      "mean_token_accuracy": 0.23949550539255143,
+      "num_tokens": 18144768.0,
+      "step": 9955
+    },
+    {
+      "entropy": 5.2012913703918455,
+      "epoch": 8.251864125932062,
+      "grad_norm": 1.4296875,
+      "learning_rate": 8.889250261051063e-05,
+      "loss": 4.4585,
+      "mean_token_accuracy": 0.24050324261188508,
+      "num_tokens": 18155107.0,
+      "step": 9960
+    },
+    {
+      "entropy": 5.184732866287232,
+      "epoch": 8.256006628003314,
+      "grad_norm": 1.328125,
+      "learning_rate": 8.871310316463554e-05,
+      "loss": 4.414,
+      "mean_token_accuracy": 0.2437386229634285,
+      "num_tokens": 18164064.0,
+      "step": 9965
+    },
+    {
+      "entropy": 5.180590391159058,
+      "epoch": 8.260149130074565,
+      "grad_norm": 1.5234375,
+      "learning_rate": 8.853407947978845e-05,
+      "loss": 4.4594,
+      "mean_token_accuracy": 0.22373423725366592,
+      "num_tokens": 18172714.0,
+      "step": 9970
+    },
+    {
+      "entropy": 5.212049150466919,
+      "epoch": 8.264291632145817,
+      "grad_norm": 1.2890625,
+      "learning_rate": 8.835543191707982e-05,
+      "loss": 4.4596,
+      "mean_token_accuracy": 0.23423371762037276,
+      "num_tokens": 18182158.0,
+      "step": 9975
+    },
+    {
+      "entropy": 5.2256406307220455,
+      "epoch": 8.268434134217067,
+      "grad_norm": 1.5390625,
+      "learning_rate": 8.81771608368613e-05,
+      "loss": 4.4242,
+      "mean_token_accuracy": 0.23679217398166658,
+      "num_tokens": 18190605.0,
+      "step": 9980
+    },
+    {
+      "entropy": 5.228875350952149,
+      "epoch": 8.272576636288319,
+      "grad_norm": 1.484375,
+      "learning_rate": 8.799926659872507e-05,
+      "loss": 4.603,
+      "mean_token_accuracy": 0.2188064604997635,
+      "num_tokens": 18199992.0,
+      "step": 9985
+    },
+    {
+      "entropy": 5.269665288925171,
+      "epoch": 8.276719138359569,
+      "grad_norm": 1.453125,
+      "learning_rate": 8.782174956150335e-05,
+      "loss": 4.443,
+      "mean_token_accuracy": 0.2395315259695053,
+      "num_tokens": 18208641.0,
+      "step": 9990
+    },
+    {
+      "entropy": 5.248885774612427,
+      "epoch": 8.280861640430821,
+      "grad_norm": 1.359375,
+      "learning_rate": 8.764461008326723e-05,
+      "loss": 4.4454,
+      "mean_token_accuracy": 0.23489948213100434,
+      "num_tokens": 18218355.0,
+      "step": 9995
+    },
+    {
+      "entropy": 5.2219267845153805,
+      "epoch": 8.285004142502071,
+      "grad_norm": 1.4296875,
+      "learning_rate": 8.746784852132661e-05,
+      "loss": 4.4601,
+      "mean_token_accuracy": 0.23617841601371764,
+      "num_tokens": 18227217.0,
+      "step": 10000
+    },
+    {
+      "epoch": 8.285004142502071,
+      "eval_entropy": 5.130554149399942,
+      "eval_loss": 5.7228922843933105,
+      "eval_mean_token_accuracy": 0.16913784141225346,
+      "eval_num_tokens": 18227217.0,
+      "eval_runtime": 2.7555,
+      "eval_samples_per_second": 1359.835,
+      "eval_steps_per_second": 170.206,
+      "step": 10000
+    },
+    {
+      "entropy": 5.189085817337036,
+      "epoch": 8.289146644573322,
+      "grad_norm": 1.3671875,
+      "learning_rate": 8.729146523222877e-05,
+      "loss": 4.3974,
+      "mean_token_accuracy": 0.2361637681722641,
+      "num_tokens": 18236410.0,
+      "step": 10005
+    },
+    {
+      "entropy": 5.244648122787476,
+      "epoch": 8.293289146644574,
+      "grad_norm": 1.5703125,
+      "learning_rate": 8.711546057175804e-05,
+      "loss": 4.4474,
+      "mean_token_accuracy": 0.23846692740917205,
+      "num_tokens": 18244626.0,
+      "step": 10010
+    },
+    {
+      "entropy": 5.270169019699097,
+      "epoch": 8.297431648715824,
+      "grad_norm": 1.359375,
+      "learning_rate": 8.69398348949351e-05,
+      "loss": 4.4535,
+      "mean_token_accuracy": 0.23619772642850875,
+      "num_tokens": 18253938.0,
+      "step": 10015
+    },
+    {
+      "entropy": 5.18985161781311,
+      "epoch": 8.301574150787076,
+      "grad_norm": 1.5234375,
+      "learning_rate": 8.676458855601612e-05,
+      "loss": 4.4505,
+      "mean_token_accuracy": 0.23596869856119157,
+      "num_tokens": 18262674.0,
+      "step": 10020
+    },
+    {
+      "entropy": 5.250480699539184,
+      "epoch": 8.305716652858326,
+      "grad_norm": 1.3515625,
+      "learning_rate": 8.658972190849215e-05,
+      "loss": 4.4817,
+      "mean_token_accuracy": 0.23379983603954316,
+      "num_tokens": 18272558.0,
+      "step": 10025
+    },
+    {
+      "entropy": 5.291120862960815,
+      "epoch": 8.309859154929578,
+      "grad_norm": 1.53125,
+      "learning_rate": 8.641523530508827e-05,
+      "loss": 4.4931,
+      "mean_token_accuracy": 0.23938387334346772,
+      "num_tokens": 18282522.0,
+      "step": 10030
+    },
+    {
+      "entropy": 5.273213243484497,
+      "epoch": 8.314001657000828,
+      "grad_norm": 1.390625,
+      "learning_rate": 8.624112909776314e-05,
+      "loss": 4.4294,
+      "mean_token_accuracy": 0.23269279450178146,
+      "num_tokens": 18290933.0,
+      "step": 10035
+    },
+    {
+      "entropy": 5.212837028503418,
+      "epoch": 8.31814415907208,
+      "grad_norm": 1.421875,
+      "learning_rate": 8.606740363770788e-05,
+      "loss": 4.4088,
+      "mean_token_accuracy": 0.23555412590503694,
+      "num_tokens": 18300705.0,
+      "step": 10040
+    },
+    {
+      "entropy": 5.238656616210937,
+      "epoch": 8.32228666114333,
+      "grad_norm": 1.4375,
+      "learning_rate": 8.589405927534571e-05,
+      "loss": 4.4081,
+      "mean_token_accuracy": 0.244551882147789,
+      "num_tokens": 18309889.0,
+      "step": 10045
+    },
+    {
+      "entropy": 5.242896318435669,
+      "epoch": 8.326429163214582,
+      "grad_norm": 1.4609375,
+      "learning_rate": 8.57210963603313e-05,
+      "loss": 4.4503,
+      "mean_token_accuracy": 0.23040195405483246,
+      "num_tokens": 18319282.0,
+      "step": 10050
+    },
+    {
+      "entropy": 5.290544414520264,
+      "epoch": 8.330571665285833,
+      "grad_norm": 1.46875,
+      "learning_rate": 8.554851524154961e-05,
+      "loss": 4.4914,
+      "mean_token_accuracy": 0.23957772552967072,
+      "num_tokens": 18328713.0,
+      "step": 10055
+    },
+    {
+      "entropy": 5.18739800453186,
+      "epoch": 8.334714167357085,
+      "grad_norm": 1.5546875,
+      "learning_rate": 8.537631626711573e-05,
+      "loss": 4.3541,
+      "mean_token_accuracy": 0.24801484048366546,
+      "num_tokens": 18337262.0,
+      "step": 10060
+    },
+    {
+      "entropy": 5.273202228546142,
+      "epoch": 8.338856669428335,
+      "grad_norm": 1.296875,
+      "learning_rate": 8.520449978437372e-05,
+      "loss": 4.4515,
+      "mean_token_accuracy": 0.24038465470075607,
+      "num_tokens": 18346699.0,
+      "step": 10065
+    },
+    {
+      "entropy": 5.202633285522461,
+      "epoch": 8.342999171499585,
+      "grad_norm": 1.4140625,
+      "learning_rate": 8.50330661398962e-05,
+      "loss": 4.3765,
+      "mean_token_accuracy": 0.23907299488782882,
+      "num_tokens": 18355466.0,
+      "step": 10070
+    },
+    {
+      "entropy": 5.197913932800293,
+      "epoch": 8.347141673570837,
+      "grad_norm": 1.4921875,
+      "learning_rate": 8.486201567948363e-05,
+      "loss": 4.3871,
+      "mean_token_accuracy": 0.23954783082008363,
+      "num_tokens": 18363988.0,
+      "step": 10075
+    },
+    {
+      "entropy": 5.277276611328125,
+      "epoch": 8.351284175642087,
+      "grad_norm": 1.2734375,
+      "learning_rate": 8.469134874816342e-05,
+      "loss": 4.5177,
+      "mean_token_accuracy": 0.23427421301603318,
+      "num_tokens": 18373784.0,
+      "step": 10080
+    },
+    {
+      "entropy": 5.225943231582642,
+      "epoch": 8.35542667771334,
+      "grad_norm": 1.4296875,
+      "learning_rate": 8.45210656901895e-05,
+      "loss": 4.3798,
+      "mean_token_accuracy": 0.24082893282175064,
+      "num_tokens": 18382929.0,
+      "step": 10085
+    },
+    {
+      "entropy": 5.265467834472656,
+      "epoch": 8.35956917978459,
+      "grad_norm": 1.484375,
+      "learning_rate": 8.435116684904136e-05,
+      "loss": 4.4526,
+      "mean_token_accuracy": 0.23882831037044525,
+      "num_tokens": 18392399.0,
+      "step": 10090
+    },
+    {
+      "entropy": 5.2780547618865965,
+      "epoch": 8.363711681855841,
+      "grad_norm": 1.3359375,
+      "learning_rate": 8.418165256742346e-05,
+      "loss": 4.542,
+      "mean_token_accuracy": 0.22470442056655884,
+      "num_tokens": 18402255.0,
+      "step": 10095
+    },
+    {
+      "entropy": 5.233971357345581,
+      "epoch": 8.367854183927092,
+      "grad_norm": 1.296875,
+      "learning_rate": 8.401252318726473e-05,
+      "loss": 4.4252,
+      "mean_token_accuracy": 0.24408935755491257,
+      "num_tokens": 18411677.0,
+      "step": 10100
+    },
+    {
+      "entropy": 5.181299114227295,
+      "epoch": 8.371996685998344,
+      "grad_norm": 1.5390625,
+      "learning_rate": 8.384377904971753e-05,
+      "loss": 4.4185,
+      "mean_token_accuracy": 0.23354480415582657,
+      "num_tokens": 18420332.0,
+      "step": 10105
+    },
+    {
+      "entropy": 5.126711988449097,
+      "epoch": 8.376139188069594,
+      "grad_norm": 1.46875,
+      "learning_rate": 8.367542049515733e-05,
+      "loss": 4.3243,
+      "mean_token_accuracy": 0.2377860352396965,
+      "num_tokens": 18429542.0,
+      "step": 10110
+    },
+    {
+      "entropy": 5.238503551483154,
+      "epoch": 8.380281690140846,
+      "grad_norm": 1.4375,
+      "learning_rate": 8.350744786318168e-05,
+      "loss": 4.4209,
+      "mean_token_accuracy": 0.24683155715465546,
+      "num_tokens": 18439064.0,
+      "step": 10115
+    },
+    {
+      "entropy": 5.191628503799438,
+      "epoch": 8.384424192212096,
+      "grad_norm": 1.3984375,
+      "learning_rate": 8.33398614926097e-05,
+      "loss": 4.4405,
+      "mean_token_accuracy": 0.23440641164779663,
+      "num_tokens": 18449001.0,
+      "step": 10120
+    },
+    {
+      "entropy": 5.227044200897216,
+      "epoch": 8.388566694283346,
+      "grad_norm": 1.2890625,
+      "learning_rate": 8.317266172148145e-05,
+      "loss": 4.4,
+      "mean_token_accuracy": 0.24424718767404557,
+      "num_tokens": 18458105.0,
+      "step": 10125
+    },
+    {
+      "entropy": 5.222586965560913,
+      "epoch": 8.392709196354598,
+      "grad_norm": 1.5078125,
+      "learning_rate": 8.300584888705709e-05,
+      "loss": 4.4574,
+      "mean_token_accuracy": 0.23139263391494752,
+      "num_tokens": 18466975.0,
+      "step": 10130
+    },
+    {
+      "entropy": 5.1690774917602536,
+      "epoch": 8.396851698425849,
+      "grad_norm": 1.34375,
+      "learning_rate": 8.283942332581644e-05,
+      "loss": 4.3477,
+      "mean_token_accuracy": 0.25254258811473845,
+      "num_tokens": 18475543.0,
+      "step": 10135
+    },
+    {
+      "entropy": 5.1052000522613525,
+      "epoch": 8.4009942004971,
+      "grad_norm": 1.3515625,
+      "learning_rate": 8.267338537345792e-05,
+      "loss": 4.3078,
+      "mean_token_accuracy": 0.2526886507868767,
+      "num_tokens": 18484399.0,
+      "step": 10140
+    },
+    {
+      "entropy": 5.153526496887207,
+      "epoch": 8.40513670256835,
+      "grad_norm": 1.53125,
+      "learning_rate": 8.250773536489833e-05,
+      "loss": 4.4435,
+      "mean_token_accuracy": 0.22786851227283478,
+      "num_tokens": 18493168.0,
+      "step": 10145
+    },
+    {
+      "entropy": 5.12832818031311,
+      "epoch": 8.409279204639603,
+      "grad_norm": 1.328125,
+      "learning_rate": 8.234247363427174e-05,
+      "loss": 4.4062,
+      "mean_token_accuracy": 0.23227766901254654,
+      "num_tokens": 18502624.0,
+      "step": 10150
+    },
+    {
+      "entropy": 5.1949280261993405,
+      "epoch": 8.413421706710853,
+      "grad_norm": 1.4296875,
+      "learning_rate": 8.217760051492926e-05,
+      "loss": 4.3773,
+      "mean_token_accuracy": 0.24500519186258315,
+      "num_tokens": 18510990.0,
+      "step": 10155
+    },
+    {
+      "entropy": 5.185572957992553,
+      "epoch": 8.417564208782105,
+      "grad_norm": 1.421875,
+      "learning_rate": 8.201311633943788e-05,
+      "loss": 4.3771,
+      "mean_token_accuracy": 0.23713377714157105,
+      "num_tokens": 18519490.0,
+      "step": 10160
+    },
+    {
+      "entropy": 5.2189507484436035,
+      "epoch": 8.421706710853355,
+      "grad_norm": 1.375,
+      "learning_rate": 8.184902143958013e-05,
+      "loss": 4.423,
+      "mean_token_accuracy": 0.2332186371088028,
+      "num_tokens": 18528827.0,
+      "step": 10165
+    },
+    {
+      "entropy": 5.175855875015259,
+      "epoch": 8.425849212924607,
+      "grad_norm": 1.53125,
+      "learning_rate": 8.168531614635347e-05,
+      "loss": 4.4199,
+      "mean_token_accuracy": 0.23608411699533463,
+      "num_tokens": 18537592.0,
+      "step": 10170
+    },
+    {
+      "entropy": 5.2588996410369875,
+      "epoch": 8.429991714995857,
+      "grad_norm": 1.453125,
+      "learning_rate": 8.152200078996924e-05,
+      "loss": 4.5155,
+      "mean_token_accuracy": 0.23638325929641724,
+      "num_tokens": 18547253.0,
+      "step": 10175
+    },
+    {
+      "entropy": 5.2214000701904295,
+      "epoch": 8.434134217067108,
+      "grad_norm": 1.4609375,
+      "learning_rate": 8.135907569985248e-05,
+      "loss": 4.4527,
+      "mean_token_accuracy": 0.23231977820396424,
+      "num_tokens": 18556658.0,
+      "step": 10180
+    },
+    {
+      "entropy": 5.200859260559082,
+      "epoch": 8.43827671913836,
+      "grad_norm": 1.3359375,
+      "learning_rate": 8.119654120464077e-05,
+      "loss": 4.3935,
+      "mean_token_accuracy": 0.2399752229452133,
+      "num_tokens": 18565594.0,
+      "step": 10185
+    },
+    {
+      "entropy": 5.211322498321533,
+      "epoch": 8.44241922120961,
+      "grad_norm": 1.53125,
+      "learning_rate": 8.103439763218411e-05,
+      "loss": 4.4234,
+      "mean_token_accuracy": 0.2339351773262024,
+      "num_tokens": 18574033.0,
+      "step": 10190
+    },
+    {
+      "entropy": 5.202614641189575,
+      "epoch": 8.446561723280862,
+      "grad_norm": 1.453125,
+      "learning_rate": 8.087264530954362e-05,
+      "loss": 4.4269,
+      "mean_token_accuracy": 0.233833409845829,
+      "num_tokens": 18583064.0,
+      "step": 10195
+    },
+    {
+      "entropy": 5.293605899810791,
+      "epoch": 8.450704225352112,
+      "grad_norm": 1.3828125,
+      "learning_rate": 8.071128456299159e-05,
+      "loss": 4.5161,
+      "mean_token_accuracy": 0.2285238817334175,
+      "num_tokens": 18591910.0,
+      "step": 10200
+    },
+    {
+      "entropy": 5.248147439956665,
+      "epoch": 8.454846727423364,
+      "grad_norm": 1.5078125,
+      "learning_rate": 8.055031571801013e-05,
+      "loss": 4.42,
+      "mean_token_accuracy": 0.24132785946130753,
+      "num_tokens": 18600880.0,
+      "step": 10205
+    },
+    {
+      "entropy": 5.328955936431885,
+      "epoch": 8.458989229494614,
+      "grad_norm": 1.5703125,
+      "learning_rate": 8.038973909929112e-05,
+      "loss": 4.6032,
+      "mean_token_accuracy": 0.22523417323827744,
+      "num_tokens": 18610407.0,
+      "step": 10210
+    },
+    {
+      "entropy": 5.234103345870972,
+      "epoch": 8.463131731565866,
+      "grad_norm": 1.4921875,
+      "learning_rate": 8.022955503073502e-05,
+      "loss": 4.468,
+      "mean_token_accuracy": 0.23666063845157623,
+      "num_tokens": 18620166.0,
+      "step": 10215
+    },
+    {
+      "entropy": 5.195783424377441,
+      "epoch": 8.467274233637117,
+      "grad_norm": 1.5,
+      "learning_rate": 8.006976383545071e-05,
+      "loss": 4.3991,
+      "mean_token_accuracy": 0.23298656940460205,
+      "num_tokens": 18628851.0,
+      "step": 10220
+    },
+    {
+      "entropy": 5.20527925491333,
+      "epoch": 8.471416735708369,
+      "grad_norm": 1.4609375,
+      "learning_rate": 7.991036583575448e-05,
+      "loss": 4.4305,
+      "mean_token_accuracy": 0.24241199791431428,
+      "num_tokens": 18637921.0,
+      "step": 10225
+    },
+    {
+      "entropy": 5.195417594909668,
+      "epoch": 8.475559237779619,
+      "grad_norm": 1.34375,
+      "learning_rate": 7.975136135316941e-05,
+      "loss": 4.3642,
+      "mean_token_accuracy": 0.24671109169721603,
+      "num_tokens": 18647291.0,
+      "step": 10230
+    },
+    {
+      "entropy": 5.1769211769104,
+      "epoch": 8.47970173985087,
+      "grad_norm": 1.453125,
+      "learning_rate": 7.959275070842502e-05,
+      "loss": 4.3915,
+      "mean_token_accuracy": 0.23937203139066696,
+      "num_tokens": 18656252.0,
+      "step": 10235
+    },
+    {
+      "entropy": 5.176210403442383,
+      "epoch": 8.483844241922121,
+      "grad_norm": 1.3125,
+      "learning_rate": 7.943453422145626e-05,
+      "loss": 4.417,
+      "mean_token_accuracy": 0.24022968858480453,
+      "num_tokens": 18666199.0,
+      "step": 10240
+    },
+    {
+      "entropy": 5.217723751068116,
+      "epoch": 8.487986743993371,
+      "grad_norm": 1.46875,
+      "learning_rate": 7.927671221140317e-05,
+      "loss": 4.4517,
+      "mean_token_accuracy": 0.23993866443634032,
+      "num_tokens": 18675573.0,
+      "step": 10245
+    },
+    {
+      "entropy": 5.252127313613892,
+      "epoch": 8.492129246064623,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.911928499660986e-05,
+      "loss": 4.4263,
+      "mean_token_accuracy": 0.237184576690197,
+      "num_tokens": 18684627.0,
+      "step": 10250
+    },
+    {
+      "entropy": 5.2742616653442385,
+      "epoch": 8.496271748135873,
+      "grad_norm": 1.296875,
+      "learning_rate": 7.896225289462426e-05,
+      "loss": 4.4702,
+      "mean_token_accuracy": 0.22651803195476533,
+      "num_tokens": 18694287.0,
+      "step": 10255
+    },
+    {
+      "entropy": 5.209424877166748,
+      "epoch": 8.500414250207125,
+      "grad_norm": 1.5546875,
+      "learning_rate": 7.880561622219735e-05,
+      "loss": 4.4389,
+      "mean_token_accuracy": 0.23508745133876802,
+      "num_tokens": 18704014.0,
+      "step": 10260
+    },
+    {
+      "entropy": 5.209544658660889,
+      "epoch": 8.504556752278376,
+      "grad_norm": 1.453125,
+      "learning_rate": 7.864937529528232e-05,
+      "loss": 4.4197,
+      "mean_token_accuracy": 0.24119794815778733,
+      "num_tokens": 18713030.0,
+      "step": 10265
+    },
+    {
+      "entropy": 5.262354707717895,
+      "epoch": 8.508699254349628,
+      "grad_norm": 1.5078125,
+      "learning_rate": 7.849353042903428e-05,
+      "loss": 4.4526,
+      "mean_token_accuracy": 0.24413182735443115,
+      "num_tokens": 18721911.0,
+      "step": 10270
+    },
+    {
+      "entropy": 5.194427108764648,
+      "epoch": 8.512841756420878,
+      "grad_norm": 1.3828125,
+      "learning_rate": 7.833808193780934e-05,
+      "loss": 4.3903,
+      "mean_token_accuracy": 0.24381678253412248,
+      "num_tokens": 18730688.0,
+      "step": 10275
+    },
+    {
+      "entropy": 5.237134313583374,
+      "epoch": 8.51698425849213,
+      "grad_norm": 1.2890625,
+      "learning_rate": 7.818303013516401e-05,
+      "loss": 4.4752,
+      "mean_token_accuracy": 0.23708440065383912,
+      "num_tokens": 18740214.0,
+      "step": 10280
+    },
+    {
+      "entropy": 5.19223198890686,
+      "epoch": 8.52112676056338,
+      "grad_norm": 1.453125,
+      "learning_rate": 7.802837533385482e-05,
+      "loss": 4.4394,
+      "mean_token_accuracy": 0.2367953270673752,
+      "num_tokens": 18748837.0,
+      "step": 10285
+    },
+    {
+      "entropy": 5.169844484329223,
+      "epoch": 8.525269262634632,
+      "grad_norm": 1.515625,
+      "learning_rate": 7.787411784583733e-05,
+      "loss": 4.3104,
+      "mean_token_accuracy": 0.248037089407444,
+      "num_tokens": 18757482.0,
+      "step": 10290
+    },
+    {
+      "entropy": 5.144911432266236,
+      "epoch": 8.529411764705882,
+      "grad_norm": 1.3671875,
+      "learning_rate": 7.772025798226582e-05,
+      "loss": 4.4084,
+      "mean_token_accuracy": 0.2401130571961403,
+      "num_tokens": 18766326.0,
+      "step": 10295
+    },
+    {
+      "entropy": 5.309397840499878,
+      "epoch": 8.533554266777134,
+      "grad_norm": 1.578125,
+      "learning_rate": 7.756679605349241e-05,
+      "loss": 4.5022,
+      "mean_token_accuracy": 0.2320367693901062,
+      "num_tokens": 18774287.0,
+      "step": 10300
+    },
+    {
+      "entropy": 5.217145586013794,
+      "epoch": 8.537696768848384,
+      "grad_norm": 1.25,
+      "learning_rate": 7.741373236906658e-05,
+      "loss": 4.484,
+      "mean_token_accuracy": 0.23230270594358443,
+      "num_tokens": 18785172.0,
+      "step": 10305
+    },
+    {
+      "entropy": 5.186282730102539,
+      "epoch": 8.541839270919635,
+      "grad_norm": 1.4609375,
+      "learning_rate": 7.726106723773452e-05,
+      "loss": 4.4807,
+      "mean_token_accuracy": 0.22887564748525618,
+      "num_tokens": 18794294.0,
+      "step": 10310
+    },
+    {
+      "entropy": 5.26285572052002,
+      "epoch": 8.545981772990887,
+      "grad_norm": 1.453125,
+      "learning_rate": 7.710880096743845e-05,
+      "loss": 4.4681,
+      "mean_token_accuracy": 0.2354227989912033,
+      "num_tokens": 18803108.0,
+      "step": 10315
+    },
+    {
+      "entropy": 5.212899780273437,
+      "epoch": 8.550124275062137,
+      "grad_norm": 1.5234375,
+      "learning_rate": 7.695693386531612e-05,
+      "loss": 4.4197,
+      "mean_token_accuracy": 0.24306773543357849,
+      "num_tokens": 18811215.0,
+      "step": 10320
+    },
+    {
+      "entropy": 5.214504623413086,
+      "epoch": 8.554266777133389,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.680546623770001e-05,
+      "loss": 4.5113,
+      "mean_token_accuracy": 0.23043400049209595,
+      "num_tokens": 18820796.0,
+      "step": 10325
+    },
+    {
+      "entropy": 5.33404221534729,
+      "epoch": 8.55840927920464,
+      "grad_norm": 1.40625,
+      "learning_rate": 7.665439839011701e-05,
+      "loss": 4.554,
+      "mean_token_accuracy": 0.21822466552257538,
+      "num_tokens": 18830673.0,
+      "step": 10330
+    },
+    {
+      "entropy": 5.219755029678344,
+      "epoch": 8.562551781275891,
+      "grad_norm": 1.515625,
+      "learning_rate": 7.650373062728735e-05,
+      "loss": 4.4567,
+      "mean_token_accuracy": 0.23806945085525513,
+      "num_tokens": 18839898.0,
+      "step": 10335
+    },
+    {
+      "entropy": 5.2029930591583256,
+      "epoch": 8.566694283347141,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.635346325312437e-05,
+      "loss": 4.3957,
+      "mean_token_accuracy": 0.24061628580093383,
+      "num_tokens": 18848380.0,
+      "step": 10340
+    },
+    {
+      "entropy": 5.183950519561767,
+      "epoch": 8.570836785418393,
+      "grad_norm": 1.4765625,
+      "learning_rate": 7.62035965707339e-05,
+      "loss": 4.3698,
+      "mean_token_accuracy": 0.23951665312051773,
+      "num_tokens": 18857157.0,
+      "step": 10345
+    },
+    {
+      "entropy": 5.218787288665771,
+      "epoch": 8.574979287489644,
+      "grad_norm": 1.4296875,
+      "learning_rate": 7.605413088241325e-05,
+      "loss": 4.4386,
+      "mean_token_accuracy": 0.23871394395828247,
+      "num_tokens": 18866544.0,
+      "step": 10350
+    },
+    {
+      "entropy": 5.245972967147827,
+      "epoch": 8.579121789560896,
+      "grad_norm": 1.390625,
+      "learning_rate": 7.59050664896512e-05,
+      "loss": 4.4763,
+      "mean_token_accuracy": 0.23758894056081772,
+      "num_tokens": 18876052.0,
+      "step": 10355
+    },
+    {
+      "entropy": 5.173453092575073,
+      "epoch": 8.583264291632146,
+      "grad_norm": 1.5390625,
+      "learning_rate": 7.575640369312684e-05,
+      "loss": 4.3606,
+      "mean_token_accuracy": 0.24585366398096084,
+      "num_tokens": 18885141.0,
+      "step": 10360
+    },
+    {
+      "entropy": 5.170973825454712,
+      "epoch": 8.587406793703398,
+      "grad_norm": 1.5,
+      "learning_rate": 7.560814279270928e-05,
+      "loss": 4.3688,
+      "mean_token_accuracy": 0.2500849083065987,
+      "num_tokens": 18893108.0,
+      "step": 10365
+    },
+    {
+      "entropy": 5.223328018188477,
+      "epoch": 8.591549295774648,
+      "grad_norm": 1.4921875,
+      "learning_rate": 7.5460284087457e-05,
+      "loss": 4.4345,
+      "mean_token_accuracy": 0.24185387045145035,
+      "num_tokens": 18901436.0,
+      "step": 10370
+    },
+    {
+      "entropy": 5.210998106002807,
+      "epoch": 8.595691797845898,
+      "grad_norm": 1.3671875,
+      "learning_rate": 7.53128278756171e-05,
+      "loss": 4.4018,
+      "mean_token_accuracy": 0.24778844714164733,
+      "num_tokens": 18910057.0,
+      "step": 10375
+    },
+    {
+      "entropy": 5.1040510654449465,
+      "epoch": 8.59983429991715,
+      "grad_norm": 1.3828125,
+      "learning_rate": 7.516577445462493e-05,
+      "loss": 4.3,
+      "mean_token_accuracy": 0.24971302300691606,
+      "num_tokens": 18918270.0,
+      "step": 10380
+    },
+    {
+      "entropy": 5.231306409835815,
+      "epoch": 8.6039768019884,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.501912412110331e-05,
+      "loss": 4.4845,
+      "mean_token_accuracy": 0.23085562586784364,
+      "num_tokens": 18928202.0,
+      "step": 10385
+    },
+    {
+      "entropy": 5.2012535572052006,
+      "epoch": 8.608119304059652,
+      "grad_norm": 1.484375,
+      "learning_rate": 7.487287717086193e-05,
+      "loss": 4.4517,
+      "mean_token_accuracy": 0.23962246477603913,
+      "num_tokens": 18937837.0,
+      "step": 10390
+    },
+    {
+      "entropy": 5.208834791183472,
+      "epoch": 8.612261806130903,
+      "grad_norm": 1.4296875,
+      "learning_rate": 7.472703389889695e-05,
+      "loss": 4.4011,
+      "mean_token_accuracy": 0.24069707244634628,
+      "num_tokens": 18946391.0,
+      "step": 10395
+    },
+    {
+      "entropy": 5.2311876773834225,
+      "epoch": 8.616404308202155,
+      "grad_norm": 1.390625,
+      "learning_rate": 7.458159459939007e-05,
+      "loss": 4.4489,
+      "mean_token_accuracy": 0.23659338057041168,
+      "num_tokens": 18955269.0,
+      "step": 10400
+    },
+    {
+      "entropy": 5.190009307861328,
+      "epoch": 8.620546810273405,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.443655956570842e-05,
+      "loss": 4.3755,
+      "mean_token_accuracy": 0.24546574354171752,
+      "num_tokens": 18964030.0,
+      "step": 10405
+    },
+    {
+      "entropy": 5.1890928745269775,
+      "epoch": 8.624689312344657,
+      "grad_norm": 1.359375,
+      "learning_rate": 7.429192909040339e-05,
+      "loss": 4.3809,
+      "mean_token_accuracy": 0.2469545379281044,
+      "num_tokens": 18973690.0,
+      "step": 10410
+    },
+    {
+      "entropy": 5.18334994316101,
+      "epoch": 8.628831814415907,
+      "grad_norm": 1.5,
+      "learning_rate": 7.414770346521043e-05,
+      "loss": 4.3623,
+      "mean_token_accuracy": 0.24696797430515288,
+      "num_tokens": 18981339.0,
+      "step": 10415
+    },
+    {
+      "entropy": 5.2303839206695555,
+      "epoch": 8.632974316487159,
+      "grad_norm": 1.5625,
+      "learning_rate": 7.400388298104851e-05,
+      "loss": 4.4068,
+      "mean_token_accuracy": 0.2369140088558197,
+      "num_tokens": 18990141.0,
+      "step": 10420
+    },
+    {
+      "entropy": 5.159129667282104,
+      "epoch": 8.63711681855841,
+      "grad_norm": 1.3984375,
+      "learning_rate": 7.386046792801911e-05,
+      "loss": 4.3986,
+      "mean_token_accuracy": 0.24463264495134354,
+      "num_tokens": 18999217.0,
+      "step": 10425
+    },
+    {
+      "entropy": 5.21497597694397,
+      "epoch": 8.64125932062966,
+      "grad_norm": 1.6640625,
+      "learning_rate": 7.371745859540622e-05,
+      "loss": 4.478,
+      "mean_token_accuracy": 0.23663176596164703,
+      "num_tokens": 19008554.0,
+      "step": 10430
+    },
+    {
+      "entropy": 5.173939180374146,
+      "epoch": 8.645401822700912,
+      "grad_norm": 1.40625,
+      "learning_rate": 7.357485527167522e-05,
+      "loss": 4.4008,
+      "mean_token_accuracy": 0.24518686681985855,
+      "num_tokens": 19018159.0,
+      "step": 10435
+    },
+    {
+      "entropy": 5.206839847564697,
+      "epoch": 8.649544324772162,
+      "grad_norm": 1.5625,
+      "learning_rate": 7.343265824447254e-05,
+      "loss": 4.3876,
+      "mean_token_accuracy": 0.23844624310731888,
+      "num_tokens": 19026985.0,
+      "step": 10440
+    },
+    {
+      "entropy": 5.248799228668213,
+      "epoch": 8.653686826843414,
+      "grad_norm": 1.3671875,
+      "learning_rate": 7.329086780062522e-05,
+      "loss": 4.4566,
+      "mean_token_accuracy": 0.2319045841693878,
+      "num_tokens": 19036745.0,
+      "step": 10445
+    },
+    {
+      "entropy": 5.184232616424561,
+      "epoch": 8.657829328914664,
+      "grad_norm": 1.390625,
+      "learning_rate": 7.314948422613998e-05,
+      "loss": 4.3972,
+      "mean_token_accuracy": 0.24480258375406266,
+      "num_tokens": 19045200.0,
+      "step": 10450
+    },
+    {
+      "entropy": 5.22222671508789,
+      "epoch": 8.661971830985916,
+      "grad_norm": 1.5703125,
+      "learning_rate": 7.30085078062031e-05,
+      "loss": 4.3972,
+      "mean_token_accuracy": 0.24710927307605743,
+      "num_tokens": 19054102.0,
+      "step": 10455
+    },
+    {
+      "entropy": 5.227342224121093,
+      "epoch": 8.666114333057166,
+      "grad_norm": 1.3828125,
+      "learning_rate": 7.286793882517922e-05,
+      "loss": 4.4817,
+      "mean_token_accuracy": 0.23506841957569122,
+      "num_tokens": 19062895.0,
+      "step": 10460
+    },
+    {
+      "entropy": 5.171539640426635,
+      "epoch": 8.670256835128418,
+      "grad_norm": 1.484375,
+      "learning_rate": 7.272777756661152e-05,
+      "loss": 4.3649,
+      "mean_token_accuracy": 0.24760980010032654,
+      "num_tokens": 19071523.0,
+      "step": 10465
+    },
+    {
+      "entropy": 5.185952615737915,
+      "epoch": 8.674399337199668,
+      "grad_norm": 1.4765625,
+      "learning_rate": 7.258802431322047e-05,
+      "loss": 4.4121,
+      "mean_token_accuracy": 0.23732124269008636,
+      "num_tokens": 19080765.0,
+      "step": 10470
+    },
+    {
+      "entropy": 5.252375984191895,
+      "epoch": 8.67854183927092,
+      "grad_norm": 1.3359375,
+      "learning_rate": 7.244867934690364e-05,
+      "loss": 4.4613,
+      "mean_token_accuracy": 0.2323843464255333,
+      "num_tokens": 19089871.0,
+      "step": 10475
+    },
+    {
+      "entropy": 5.187610292434693,
+      "epoch": 8.68268434134217,
+      "grad_norm": 1.3828125,
+      "learning_rate": 7.230974294873513e-05,
+      "loss": 4.3838,
+      "mean_token_accuracy": 0.24054025560617448,
+      "num_tokens": 19098928.0,
+      "step": 10480
+    },
+    {
+      "entropy": 5.245558977127075,
+      "epoch": 8.68682684341342,
+      "grad_norm": 1.3984375,
+      "learning_rate": 7.217121539896476e-05,
+      "loss": 4.4835,
+      "mean_token_accuracy": 0.23271409273147584,
+      "num_tokens": 19107795.0,
+      "step": 10485
+    },
+    {
+      "entropy": 5.311456537246704,
+      "epoch": 8.690969345484673,
+      "grad_norm": 1.46875,
+      "learning_rate": 7.203309697701784e-05,
+      "loss": 4.4991,
+      "mean_token_accuracy": 0.22682723701000213,
+      "num_tokens": 19117060.0,
+      "step": 10490
+    },
+    {
+      "entropy": 5.217403793334961,
+      "epoch": 8.695111847555923,
+      "grad_norm": 1.4609375,
+      "learning_rate": 7.189538796149424e-05,
+      "loss": 4.4537,
+      "mean_token_accuracy": 0.2290256530046463,
+      "num_tokens": 19126876.0,
+      "step": 10495
+    },
+    {
+      "entropy": 5.315350341796875,
+      "epoch": 8.699254349627175,
+      "grad_norm": 1.3671875,
+      "learning_rate": 7.175808863016806e-05,
+      "loss": 4.5203,
+      "mean_token_accuracy": 0.22548595070838928,
+      "num_tokens": 19136888.0,
+      "step": 10500
+    },
+    {
+      "epoch": 8.699254349627175,
+      "eval_entropy": 5.119190056440927,
+      "eval_loss": 5.7212605476379395,
+      "eval_mean_token_accuracy": 0.16961656545779344,
+      "eval_num_tokens": 19136888.0,
+      "eval_runtime": 2.752,
+      "eval_samples_per_second": 1361.551,
+      "eval_steps_per_second": 170.421,
+      "step": 10500
+    },
+    {
+      "entropy": 5.226673030853272,
+      "epoch": 8.703396851698425,
+      "grad_norm": 1.484375,
+      "learning_rate": 7.162119925998714e-05,
+      "loss": 4.5059,
+      "mean_token_accuracy": 0.2253893718123436,
+      "num_tokens": 19146727.0,
+      "step": 10505
+    },
+    {
+      "entropy": 5.179952812194824,
+      "epoch": 8.707539353769677,
+      "grad_norm": 1.171875,
+      "learning_rate": 7.148472012707225e-05,
+      "loss": 4.412,
+      "mean_token_accuracy": 0.2382320299744606,
+      "num_tokens": 19157322.0,
+      "step": 10510
+    },
+    {
+      "entropy": 5.166423749923706,
+      "epoch": 8.711681855840927,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.134865150671676e-05,
+      "loss": 4.3914,
+      "mean_token_accuracy": 0.23635614067316055,
+      "num_tokens": 19166302.0,
+      "step": 10515
+    },
+    {
+      "entropy": 5.251778602600098,
+      "epoch": 8.71582435791218,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.121299367338593e-05,
+      "loss": 4.4374,
+      "mean_token_accuracy": 0.24589941501617432,
+      "num_tokens": 19174883.0,
+      "step": 10520
+    },
+    {
+      "entropy": 5.153423023223877,
+      "epoch": 8.71996685998343,
+      "grad_norm": 1.40625,
+      "learning_rate": 7.107774690071635e-05,
+      "loss": 4.3541,
+      "mean_token_accuracy": 0.239237742125988,
+      "num_tokens": 19184410.0,
+      "step": 10525
+    },
+    {
+      "entropy": 5.228266382217408,
+      "epoch": 8.724109362054682,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.094291146151568e-05,
+      "loss": 4.4674,
+      "mean_token_accuracy": 0.2395067408680916,
+      "num_tokens": 19193559.0,
+      "step": 10530
+    },
+    {
+      "entropy": 5.273577928543091,
+      "epoch": 8.728251864125932,
+      "grad_norm": 1.5546875,
+      "learning_rate": 7.080848762776159e-05,
+      "loss": 4.4714,
+      "mean_token_accuracy": 0.23337527960538865,
+      "num_tokens": 19202520.0,
+      "step": 10535
+    },
+    {
+      "entropy": 5.188484859466553,
+      "epoch": 8.732394366197184,
+      "grad_norm": 1.3046875,
+      "learning_rate": 7.067447567060178e-05,
+      "loss": 4.4106,
+      "mean_token_accuracy": 0.24163178950548173,
+      "num_tokens": 19212357.0,
+      "step": 10540
+    },
+    {
+      "entropy": 5.270314884185791,
+      "epoch": 8.736536868268434,
+      "grad_norm": 1.4140625,
+      "learning_rate": 7.054087586035295e-05,
+      "loss": 4.4547,
+      "mean_token_accuracy": 0.22959824949502944,
+      "num_tokens": 19222069.0,
+      "step": 10545
+    },
+    {
+      "entropy": 5.25425443649292,
+      "epoch": 8.740679370339684,
+      "grad_norm": 1.3046875,
+      "learning_rate": 7.040768846650046e-05,
+      "loss": 4.4932,
+      "mean_token_accuracy": 0.2278127059340477,
+      "num_tokens": 19232274.0,
+      "step": 10550
+    },
+    {
+      "entropy": 5.254214191436768,
+      "epoch": 8.744821872410936,
+      "grad_norm": 1.3046875,
+      "learning_rate": 7.027491375769795e-05,
+      "loss": 4.4757,
+      "mean_token_accuracy": 0.2411029651761055,
+      "num_tokens": 19241877.0,
+      "step": 10555
+    },
+    {
+      "entropy": 5.2116861820220945,
+      "epoch": 8.748964374482187,
+      "grad_norm": 1.4453125,
+      "learning_rate": 7.014255200176643e-05,
+      "loss": 4.3782,
+      "mean_token_accuracy": 0.2412834107875824,
+      "num_tokens": 19250229.0,
+      "step": 10560
+    },
+    {
+      "entropy": 5.172750854492188,
+      "epoch": 8.753106876553439,
+      "grad_norm": 1.4140625,
+      "learning_rate": 7.001060346569408e-05,
+      "loss": 4.4164,
+      "mean_token_accuracy": 0.23507136851549149,
+      "num_tokens": 19259061.0,
+      "step": 10565
+    },
+    {
+      "entropy": 5.257285022735596,
+      "epoch": 8.757249378624689,
+      "grad_norm": 1.4296875,
+      "learning_rate": 6.987906841563552e-05,
+      "loss": 4.4909,
+      "mean_token_accuracy": 0.2253558024764061,
+      "num_tokens": 19268262.0,
+      "step": 10570
+    },
+    {
+      "entropy": 5.223095846176148,
+      "epoch": 8.76139188069594,
+      "grad_norm": 1.4296875,
+      "learning_rate": 6.974794711691125e-05,
+      "loss": 4.4463,
+      "mean_token_accuracy": 0.2392427995800972,
+      "num_tokens": 19276444.0,
+      "step": 10575
+    },
+    {
+      "entropy": 5.207184934616089,
+      "epoch": 8.765534382767191,
+      "grad_norm": 1.4296875,
+      "learning_rate": 6.961723983400733e-05,
+      "loss": 4.4458,
+      "mean_token_accuracy": 0.23648034334182738,
+      "num_tokens": 19286384.0,
+      "step": 10580
+    },
+    {
+      "entropy": 5.176658248901367,
+      "epoch": 8.769676884838443,
+      "grad_norm": 1.5390625,
+      "learning_rate": 6.948694683057456e-05,
+      "loss": 4.4546,
+      "mean_token_accuracy": 0.2312345653772354,
+      "num_tokens": 19295251.0,
+      "step": 10585
+    },
+    {
+      "entropy": 5.224732780456543,
+      "epoch": 8.773819386909693,
+      "grad_norm": 1.5,
+      "learning_rate": 6.935706836942826e-05,
+      "loss": 4.4425,
+      "mean_token_accuracy": 0.24059854596853256,
+      "num_tokens": 19304288.0,
+      "step": 10590
+    },
+    {
+      "entropy": 5.250017404556274,
+      "epoch": 8.777961888980945,
+      "grad_norm": 1.453125,
+      "learning_rate": 6.922760471254738e-05,
+      "loss": 4.4356,
+      "mean_token_accuracy": 0.24030836671590805,
+      "num_tokens": 19312269.0,
+      "step": 10595
+    },
+    {
+      "entropy": 5.115903329849243,
+      "epoch": 8.782104391052195,
+      "grad_norm": 1.4140625,
+      "learning_rate": 6.909855612107437e-05,
+      "loss": 4.3473,
+      "mean_token_accuracy": 0.2516230851411819,
+      "num_tokens": 19320856.0,
+      "step": 10600
+    },
+    {
+      "entropy": 5.177384901046753,
+      "epoch": 8.786246893123447,
+      "grad_norm": 1.546875,
+      "learning_rate": 6.896992285531424e-05,
+      "loss": 4.4072,
+      "mean_token_accuracy": 0.24654482156038285,
+      "num_tokens": 19329427.0,
+      "step": 10605
+    },
+    {
+      "entropy": 5.193833827972412,
+      "epoch": 8.790389395194698,
+      "grad_norm": 1.46875,
+      "learning_rate": 6.884170517473444e-05,
+      "loss": 4.4439,
+      "mean_token_accuracy": 0.24428300708532333,
+      "num_tokens": 19337772.0,
+      "step": 10610
+    },
+    {
+      "entropy": 5.271326208114624,
+      "epoch": 8.794531897265948,
+      "grad_norm": 1.4375,
+      "learning_rate": 6.871390333796398e-05,
+      "loss": 4.4742,
+      "mean_token_accuracy": 0.2410774126648903,
+      "num_tokens": 19346693.0,
+      "step": 10615
+    },
+    {
+      "entropy": 5.241626501083374,
+      "epoch": 8.7986743993372,
+      "grad_norm": 1.359375,
+      "learning_rate": 6.85865176027931e-05,
+      "loss": 4.4086,
+      "mean_token_accuracy": 0.23272228688001634,
+      "num_tokens": 19355606.0,
+      "step": 10620
+    },
+    {
+      "entropy": 5.2006713390350345,
+      "epoch": 8.80281690140845,
+      "grad_norm": 1.2890625,
+      "learning_rate": 6.845954822617284e-05,
+      "loss": 4.4493,
+      "mean_token_accuracy": 0.23586227893829345,
+      "num_tokens": 19365552.0,
+      "step": 10625
+    },
+    {
+      "entropy": 5.243284225463867,
+      "epoch": 8.806959403479702,
+      "grad_norm": 1.5,
+      "learning_rate": 6.833299546421423e-05,
+      "loss": 4.4891,
+      "mean_token_accuracy": 0.2321949765086174,
+      "num_tokens": 19374869.0,
+      "step": 10630
+    },
+    {
+      "entropy": 5.2015196800231935,
+      "epoch": 8.811101905550952,
+      "grad_norm": 1.4375,
+      "learning_rate": 6.820685957218808e-05,
+      "loss": 4.4725,
+      "mean_token_accuracy": 0.23633115440607072,
+      "num_tokens": 19384609.0,
+      "step": 10635
+    },
+    {
+      "entropy": 5.197484254837036,
+      "epoch": 8.815244407622204,
+      "grad_norm": 1.4609375,
+      "learning_rate": 6.80811408045242e-05,
+      "loss": 4.3993,
+      "mean_token_accuracy": 0.23660303950309752,
+      "num_tokens": 19392618.0,
+      "step": 10640
+    },
+    {
+      "entropy": 5.325011968612671,
+      "epoch": 8.819386909693455,
+      "grad_norm": 1.3046875,
+      "learning_rate": 6.795583941481113e-05,
+      "loss": 4.4964,
+      "mean_token_accuracy": 0.23065129816532134,
+      "num_tokens": 19402341.0,
+      "step": 10645
+    },
+    {
+      "entropy": 5.237111806869507,
+      "epoch": 8.823529411764707,
+      "grad_norm": 1.3828125,
+      "learning_rate": 6.783095565579546e-05,
+      "loss": 4.4247,
+      "mean_token_accuracy": 0.23660608232021332,
+      "num_tokens": 19411834.0,
+      "step": 10650
+    },
+    {
+      "entropy": 5.1730334758758545,
+      "epoch": 8.827671913835957,
+      "grad_norm": 1.5234375,
+      "learning_rate": 6.77064897793814e-05,
+      "loss": 4.3767,
+      "mean_token_accuracy": 0.24239009916782378,
+      "num_tokens": 19420820.0,
+      "step": 10655
+    },
+    {
+      "entropy": 5.2696301460266115,
+      "epoch": 8.831814415907209,
+      "grad_norm": 1.328125,
+      "learning_rate": 6.758244203663015e-05,
+      "loss": 4.5166,
+      "mean_token_accuracy": 0.22715218663215636,
+      "num_tokens": 19430321.0,
+      "step": 10660
+    },
+    {
+      "entropy": 5.2090989112854,
+      "epoch": 8.835956917978459,
+      "grad_norm": 1.4140625,
+      "learning_rate": 6.745881267775967e-05,
+      "loss": 4.4195,
+      "mean_token_accuracy": 0.24382660984992982,
+      "num_tokens": 19439134.0,
+      "step": 10665
+    },
+    {
+      "entropy": 5.227123832702636,
+      "epoch": 8.840099420049711,
+      "grad_norm": 1.453125,
+      "learning_rate": 6.733560195214384e-05,
+      "loss": 4.4171,
+      "mean_token_accuracy": 0.24313016086816788,
+      "num_tokens": 19448503.0,
+      "step": 10670
+    },
+    {
+      "entropy": 5.253864049911499,
+      "epoch": 8.844241922120961,
+      "grad_norm": 1.4375,
+      "learning_rate": 6.721281010831209e-05,
+      "loss": 4.5238,
+      "mean_token_accuracy": 0.22644259929656982,
+      "num_tokens": 19458423.0,
+      "step": 10675
+    },
+    {
+      "entropy": 5.188384485244751,
+      "epoch": 8.848384424192211,
+      "grad_norm": 1.59375,
+      "learning_rate": 6.709043739394909e-05,
+      "loss": 4.4126,
+      "mean_token_accuracy": 0.2393592044711113,
+      "num_tokens": 19467346.0,
+      "step": 10680
+    },
+    {
+      "entropy": 5.213257360458374,
+      "epoch": 8.852526926263463,
+      "grad_norm": 1.3984375,
+      "learning_rate": 6.696848405589389e-05,
+      "loss": 4.405,
+      "mean_token_accuracy": 0.23745912164449692,
+      "num_tokens": 19476659.0,
+      "step": 10685
+    },
+    {
+      "entropy": 5.17372498512268,
+      "epoch": 8.856669428334714,
+      "grad_norm": 1.28125,
+      "learning_rate": 6.68469503401398e-05,
+      "loss": 4.3642,
+      "mean_token_accuracy": 0.2439992055296898,
+      "num_tokens": 19486036.0,
+      "step": 10690
+    },
+    {
+      "entropy": 5.196323728561401,
+      "epoch": 8.860811930405966,
+      "grad_norm": 1.5390625,
+      "learning_rate": 6.672583649183346e-05,
+      "loss": 4.4265,
+      "mean_token_accuracy": 0.23652248829603195,
+      "num_tokens": 19494964.0,
+      "step": 10695
+    },
+    {
+      "entropy": 5.1759912967681885,
+      "epoch": 8.864954432477216,
+      "grad_norm": 1.4453125,
+      "learning_rate": 6.66051427552749e-05,
+      "loss": 4.4115,
+      "mean_token_accuracy": 0.23101080656051637,
+      "num_tokens": 19503293.0,
+      "step": 10700
+    },
+    {
+      "entropy": 5.194973659515381,
+      "epoch": 8.869096934548468,
+      "grad_norm": 1.375,
+      "learning_rate": 6.648486937391651e-05,
+      "loss": 4.4138,
+      "mean_token_accuracy": 0.23854047656059266,
+      "num_tokens": 19512286.0,
+      "step": 10705
+    },
+    {
+      "entropy": 5.3320365905761715,
+      "epoch": 8.873239436619718,
+      "grad_norm": 1.4765625,
+      "learning_rate": 6.636501659036278e-05,
+      "loss": 4.5414,
+      "mean_token_accuracy": 0.23179779797792435,
+      "num_tokens": 19522244.0,
+      "step": 10710
+    },
+    {
+      "entropy": 5.28638482093811,
+      "epoch": 8.87738193869097,
+      "grad_norm": 1.484375,
+      "learning_rate": 6.624558464636999e-05,
+      "loss": 4.5013,
+      "mean_token_accuracy": 0.22948451787233354,
+      "num_tokens": 19531811.0,
+      "step": 10715
+    },
+    {
+      "entropy": 5.264835834503174,
+      "epoch": 8.88152444076222,
+      "grad_norm": 1.5546875,
+      "learning_rate": 6.612657378284528e-05,
+      "loss": 4.5213,
+      "mean_token_accuracy": 0.22773118317127228,
+      "num_tokens": 19541569.0,
+      "step": 10720
+    },
+    {
+      "entropy": 5.170029401779175,
+      "epoch": 8.885666942833472,
+      "grad_norm": 1.4453125,
+      "learning_rate": 6.600798423984671e-05,
+      "loss": 4.4033,
+      "mean_token_accuracy": 0.24277371019124985,
+      "num_tokens": 19549904.0,
+      "step": 10725
+    },
+    {
+      "entropy": 5.190405988693238,
+      "epoch": 8.889809444904722,
+      "grad_norm": 1.453125,
+      "learning_rate": 6.588981625658227e-05,
+      "loss": 4.3817,
+      "mean_token_accuracy": 0.23957409858703613,
+      "num_tokens": 19558804.0,
+      "step": 10730
+    },
+    {
+      "entropy": 5.217440891265869,
+      "epoch": 8.893951946975973,
+      "grad_norm": 1.5546875,
+      "learning_rate": 6.577207007140969e-05,
+      "loss": 4.3608,
+      "mean_token_accuracy": 0.23985767215490342,
+      "num_tokens": 19567060.0,
+      "step": 10735
+    },
+    {
+      "entropy": 5.19472222328186,
+      "epoch": 8.898094449047225,
+      "grad_norm": 1.1640625,
+      "learning_rate": 6.565474592183594e-05,
+      "loss": 4.4563,
+      "mean_token_accuracy": 0.22792308479547502,
+      "num_tokens": 19576813.0,
+      "step": 10740
+    },
+    {
+      "entropy": 5.1734171390533445,
+      "epoch": 8.902236951118475,
+      "grad_norm": 1.5859375,
+      "learning_rate": 6.553784404451656e-05,
+      "loss": 4.3938,
+      "mean_token_accuracy": 0.24176628440618514,
+      "num_tokens": 19585551.0,
+      "step": 10745
+    },
+    {
+      "entropy": 5.209146022796631,
+      "epoch": 8.906379453189727,
+      "grad_norm": 1.4453125,
+      "learning_rate": 6.542136467525555e-05,
+      "loss": 4.4267,
+      "mean_token_accuracy": 0.24028485119342805,
+      "num_tokens": 19595085.0,
+      "step": 10750
+    },
+    {
+      "entropy": 5.2165689945220945,
+      "epoch": 8.910521955260977,
+      "grad_norm": 1.46875,
+      "learning_rate": 6.530530804900441e-05,
+      "loss": 4.4002,
+      "mean_token_accuracy": 0.24325739294290544,
+      "num_tokens": 19603260.0,
+      "step": 10755
+    },
+    {
+      "entropy": 5.267740869522095,
+      "epoch": 8.91466445733223,
+      "grad_norm": 1.4453125,
+      "learning_rate": 6.518967439986209e-05,
+      "loss": 4.4805,
+      "mean_token_accuracy": 0.23566019982099534,
+      "num_tokens": 19611608.0,
+      "step": 10760
+    },
+    {
+      "entropy": 5.180595397949219,
+      "epoch": 8.91880695940348,
+      "grad_norm": 1.40625,
+      "learning_rate": 6.507446396107429e-05,
+      "loss": 4.3493,
+      "mean_token_accuracy": 0.24578822106122972,
+      "num_tokens": 19620214.0,
+      "step": 10765
+    },
+    {
+      "entropy": 5.2280592918396,
+      "epoch": 8.922949461474731,
+      "grad_norm": 1.53125,
+      "learning_rate": 6.495967696503303e-05,
+      "loss": 4.4435,
+      "mean_token_accuracy": 0.23996175080537796,
+      "num_tokens": 19629227.0,
+      "step": 10770
+    },
+    {
+      "entropy": 5.27520432472229,
+      "epoch": 8.927091963545982,
+      "grad_norm": 1.328125,
+      "learning_rate": 6.484531364327629e-05,
+      "loss": 4.4556,
+      "mean_token_accuracy": 0.23641515225172044,
+      "num_tokens": 19638348.0,
+      "step": 10775
+    },
+    {
+      "entropy": 5.2056111812591555,
+      "epoch": 8.931234465617234,
+      "grad_norm": 1.6484375,
+      "learning_rate": 6.473137422648728e-05,
+      "loss": 4.324,
+      "mean_token_accuracy": 0.2567539796233177,
+      "num_tokens": 19646480.0,
+      "step": 10780
+    },
+    {
+      "entropy": 5.229280662536621,
+      "epoch": 8.935376967688484,
+      "grad_norm": 1.4921875,
+      "learning_rate": 6.461785894449434e-05,
+      "loss": 4.4321,
+      "mean_token_accuracy": 0.23481076061725617,
+      "num_tokens": 19656188.0,
+      "step": 10785
+    },
+    {
+      "entropy": 5.175144863128662,
+      "epoch": 8.939519469759734,
+      "grad_norm": 1.4765625,
+      "learning_rate": 6.45047680262702e-05,
+      "loss": 4.467,
+      "mean_token_accuracy": 0.22823356539011003,
+      "num_tokens": 19664849.0,
+      "step": 10790
+    },
+    {
+      "entropy": 5.211564922332764,
+      "epoch": 8.943661971830986,
+      "grad_norm": 1.2734375,
+      "learning_rate": 6.439210169993153e-05,
+      "loss": 4.3996,
+      "mean_token_accuracy": 0.24241889715194703,
+      "num_tokens": 19675104.0,
+      "step": 10795
+    },
+    {
+      "entropy": 5.206510925292969,
+      "epoch": 8.947804473902236,
+      "grad_norm": 1.375,
+      "learning_rate": 6.427986019273873e-05,
+      "loss": 4.4381,
+      "mean_token_accuracy": 0.2374054729938507,
+      "num_tokens": 19685009.0,
+      "step": 10800
+    },
+    {
+      "entropy": 5.23604679107666,
+      "epoch": 8.951946975973488,
+      "grad_norm": 1.5234375,
+      "learning_rate": 6.416804373109507e-05,
+      "loss": 4.4553,
+      "mean_token_accuracy": 0.23570877611637114,
+      "num_tokens": 19694190.0,
+      "step": 10805
+    },
+    {
+      "entropy": 5.198193025588989,
+      "epoch": 8.956089478044738,
+      "grad_norm": 1.4765625,
+      "learning_rate": 6.405665254054666e-05,
+      "loss": 4.4617,
+      "mean_token_accuracy": 0.22833957821130751,
+      "num_tokens": 19703571.0,
+      "step": 10810
+    },
+    {
+      "entropy": 5.207875490188599,
+      "epoch": 8.96023198011599,
+      "grad_norm": 1.3515625,
+      "learning_rate": 6.394568684578165e-05,
+      "loss": 4.4241,
+      "mean_token_accuracy": 0.24091086834669112,
+      "num_tokens": 19713365.0,
+      "step": 10815
+    },
+    {
+      "entropy": 5.3342712879180905,
+      "epoch": 8.96437448218724,
+      "grad_norm": 1.546875,
+      "learning_rate": 6.383514687063e-05,
+      "loss": 4.5471,
+      "mean_token_accuracy": 0.23511630594730376,
+      "num_tokens": 19722535.0,
+      "step": 10820
+    },
+    {
+      "entropy": 5.124732971191406,
+      "epoch": 8.968516984258493,
+      "grad_norm": 1.4765625,
+      "learning_rate": 6.372503283806291e-05,
+      "loss": 4.3688,
+      "mean_token_accuracy": 0.24532900452613832,
+      "num_tokens": 19731563.0,
+      "step": 10825
+    },
+    {
+      "entropy": 5.236607599258423,
+      "epoch": 8.972659486329743,
+      "grad_norm": 1.453125,
+      "learning_rate": 6.36153449701924e-05,
+      "loss": 4.492,
+      "mean_token_accuracy": 0.23433683216571807,
+      "num_tokens": 19741093.0,
+      "step": 10830
+    },
+    {
+      "entropy": 5.235393095016479,
+      "epoch": 8.976801988400995,
+      "grad_norm": 1.390625,
+      "learning_rate": 6.350608348827096e-05,
+      "loss": 4.4477,
+      "mean_token_accuracy": 0.23411636352539061,
+      "num_tokens": 19749489.0,
+      "step": 10835
+    },
+    {
+      "entropy": 5.228500127792358,
+      "epoch": 8.980944490472245,
+      "grad_norm": 1.484375,
+      "learning_rate": 6.339724861269085e-05,
+      "loss": 4.4642,
+      "mean_token_accuracy": 0.23431311100721358,
+      "num_tokens": 19758745.0,
+      "step": 10840
+    },
+    {
+      "entropy": 5.251041412353516,
+      "epoch": 8.985086992543497,
+      "grad_norm": 1.3671875,
+      "learning_rate": 6.328884056298393e-05,
+      "loss": 4.5074,
+      "mean_token_accuracy": 0.22834719121456146,
+      "num_tokens": 19767713.0,
+      "step": 10845
+    },
+    {
+      "entropy": 5.217907953262329,
+      "epoch": 8.989229494614747,
+      "grad_norm": 1.328125,
+      "learning_rate": 6.31808595578211e-05,
+      "loss": 4.4852,
+      "mean_token_accuracy": 0.2333643764257431,
+      "num_tokens": 19777236.0,
+      "step": 10850
+    },
+    {
+      "entropy": 5.1644727230072025,
+      "epoch": 8.993371996685998,
+      "grad_norm": 1.46875,
+      "learning_rate": 6.307330581501183e-05,
+      "loss": 4.3734,
+      "mean_token_accuracy": 0.24639918506145478,
+      "num_tokens": 19785981.0,
+      "step": 10855
+    },
+    {
+      "entropy": 5.195607471466064,
+      "epoch": 8.99751449875725,
+      "grad_norm": 1.546875,
+      "learning_rate": 6.29661795515038e-05,
+      "loss": 4.464,
+      "mean_token_accuracy": 0.23550200313329697,
+      "num_tokens": 19795046.0,
+      "step": 10860
+    },
+    {
+      "entropy": 5.301530122756958,
+      "epoch": 9.0016570008285,
+      "grad_norm": 1.4921875,
+      "learning_rate": 6.285948098338238e-05,
+      "loss": 4.4776,
+      "mean_token_accuracy": 0.2346542462706566,
+      "num_tokens": 19803108.0,
+      "step": 10865
+    },
+    {
+      "entropy": 5.265822219848633,
+      "epoch": 9.005799502899752,
+      "grad_norm": 1.359375,
+      "learning_rate": 6.27532103258702e-05,
+      "loss": 4.4339,
+      "mean_token_accuracy": 0.23500234484672547,
+      "num_tokens": 19812751.0,
+      "step": 10870
+    },
+    {
+      "entropy": 5.236967515945435,
+      "epoch": 9.009942004971002,
+      "grad_norm": 1.4375,
+      "learning_rate": 6.26473677933269e-05,
+      "loss": 4.4317,
+      "mean_token_accuracy": 0.24202024787664414,
+      "num_tokens": 19821634.0,
+      "step": 10875
+    },
+    {
+      "entropy": 5.206866502761841,
+      "epoch": 9.014084507042254,
+      "grad_norm": 1.3671875,
+      "learning_rate": 6.254195359924827e-05,
+      "loss": 4.3658,
+      "mean_token_accuracy": 0.24844859838485717,
+      "num_tokens": 19830760.0,
+      "step": 10880
+    },
+    {
+      "entropy": 5.134595823287964,
+      "epoch": 9.018227009113504,
+      "grad_norm": 1.3828125,
+      "learning_rate": 6.24369679562664e-05,
+      "loss": 4.2893,
+      "mean_token_accuracy": 0.25201261341571807,
+      "num_tokens": 19839463.0,
+      "step": 10885
+    },
+    {
+      "entropy": 5.170546007156372,
+      "epoch": 9.022369511184756,
+      "grad_norm": 1.390625,
+      "learning_rate": 6.233241107614875e-05,
+      "loss": 4.348,
+      "mean_token_accuracy": 0.24622674733400346,
+      "num_tokens": 19848256.0,
+      "step": 10890
+    },
+    {
+      "entropy": 5.220857858657837,
+      "epoch": 9.026512013256006,
+      "grad_norm": 1.328125,
+      "learning_rate": 6.222828316979798e-05,
+      "loss": 4.4067,
+      "mean_token_accuracy": 0.2488214135169983,
+      "num_tokens": 19857572.0,
+      "step": 10895
+    },
+    {
+      "entropy": 5.213380241394043,
+      "epoch": 9.030654515327258,
+      "grad_norm": 1.390625,
+      "learning_rate": 6.212458444725146e-05,
+      "loss": 4.4407,
+      "mean_token_accuracy": 0.2404656767845154,
+      "num_tokens": 19866825.0,
+      "step": 10900
+    },
+    {
+      "entropy": 5.333277177810669,
+      "epoch": 9.034797017398509,
+      "grad_norm": 1.421875,
+      "learning_rate": 6.202131511768079e-05,
+      "loss": 4.5306,
+      "mean_token_accuracy": 0.2320836752653122,
+      "num_tokens": 19875970.0,
+      "step": 10905
+    },
+    {
+      "entropy": 5.19785590171814,
+      "epoch": 9.03893951946976,
+      "grad_norm": 1.421875,
+      "learning_rate": 6.19184753893916e-05,
+      "loss": 4.3649,
+      "mean_token_accuracy": 0.24742332100868225,
+      "num_tokens": 19884910.0,
+      "step": 10910
+    },
+    {
+      "entropy": 5.254814195632934,
+      "epoch": 9.04308202154101,
+      "grad_norm": 1.5390625,
+      "learning_rate": 6.181606546982274e-05,
+      "loss": 4.4473,
+      "mean_token_accuracy": 0.23443322479724885,
+      "num_tokens": 19894838.0,
+      "step": 10915
+    },
+    {
+      "entropy": 5.31064190864563,
+      "epoch": 9.047224523612261,
+      "grad_norm": 1.3515625,
+      "learning_rate": 6.171408556554633e-05,
+      "loss": 4.5176,
+      "mean_token_accuracy": 0.23148290067911148,
+      "num_tokens": 19904809.0,
+      "step": 10920
+    },
+    {
+      "entropy": 5.150750684738159,
+      "epoch": 9.051367025683513,
+      "grad_norm": 1.359375,
+      "learning_rate": 6.16125358822669e-05,
+      "loss": 4.278,
+      "mean_token_accuracy": 0.25764970630407336,
+      "num_tokens": 19913549.0,
+      "step": 10925
+    },
+    {
+      "entropy": 5.20046558380127,
+      "epoch": 9.055509527754763,
+      "grad_norm": 1.484375,
+      "learning_rate": 6.151141662482126e-05,
+      "loss": 4.392,
+      "mean_token_accuracy": 0.24374349564313888,
+      "num_tokens": 19922572.0,
+      "step": 10930
+    },
+    {
+      "entropy": 5.273454380035401,
+      "epoch": 9.059652029826015,
+      "grad_norm": 1.3203125,
+      "learning_rate": 6.141072799717805e-05,
+      "loss": 4.4997,
+      "mean_token_accuracy": 0.23127662241458893,
+      "num_tokens": 19932058.0,
+      "step": 10935
+    },
+    {
+      "entropy": 5.156973218917846,
+      "epoch": 9.063794531897265,
+      "grad_norm": 1.4765625,
+      "learning_rate": 6.131047020243717e-05,
+      "loss": 4.3323,
+      "mean_token_accuracy": 0.24524755626916886,
+      "num_tokens": 19940406.0,
+      "step": 10940
+    },
+    {
+      "entropy": 5.210061025619507,
+      "epoch": 9.067937033968517,
+      "grad_norm": 1.3515625,
+      "learning_rate": 6.121064344282962e-05,
+      "loss": 4.4013,
+      "mean_token_accuracy": 0.2429831638932228,
+      "num_tokens": 19949181.0,
+      "step": 10945
+    },
+    {
+      "entropy": 5.285635852813721,
+      "epoch": 9.072079536039768,
+      "grad_norm": 1.46875,
+      "learning_rate": 6.111124791971687e-05,
+      "loss": 4.455,
+      "mean_token_accuracy": 0.2381931722164154,
+      "num_tokens": 19958159.0,
+      "step": 10950
+    },
+    {
+      "entropy": 5.203660869598389,
+      "epoch": 9.07622203811102,
+      "grad_norm": 1.4296875,
+      "learning_rate": 6.1012283833590465e-05,
+      "loss": 4.4073,
+      "mean_token_accuracy": 0.23713038712739945,
+      "num_tokens": 19967614.0,
+      "step": 10955
+    },
+    {
+      "entropy": 5.19450831413269,
+      "epoch": 9.08036454018227,
+      "grad_norm": 1.390625,
+      "learning_rate": 6.091375138407189e-05,
+      "loss": 4.3645,
+      "mean_token_accuracy": 0.24391285181045533,
+      "num_tokens": 19977697.0,
+      "step": 10960
+    },
+    {
+      "entropy": 5.286946868896484,
+      "epoch": 9.084507042253522,
+      "grad_norm": 1.390625,
+      "learning_rate": 6.0815650769911774e-05,
+      "loss": 4.4528,
+      "mean_token_accuracy": 0.23440741002559662,
+      "num_tokens": 19986152.0,
+      "step": 10965
+    },
+    {
+      "entropy": 5.234480237960815,
+      "epoch": 9.088649544324772,
+      "grad_norm": 1.40625,
+      "learning_rate": 6.0717982188989884e-05,
+      "loss": 4.4269,
+      "mean_token_accuracy": 0.2272487089037895,
+      "num_tokens": 19995904.0,
+      "step": 10970
+    },
+    {
+      "entropy": 5.219088220596314,
+      "epoch": 9.092792046396022,
+      "grad_norm": 1.4140625,
+      "learning_rate": 6.062074583831432e-05,
+      "loss": 4.4299,
+      "mean_token_accuracy": 0.2481380894780159,
+      "num_tokens": 20005516.0,
+      "step": 10975
+    },
+    {
+      "entropy": 5.197182607650757,
+      "epoch": 9.096934548467274,
+      "grad_norm": 1.40625,
+      "learning_rate": 6.052394191402145e-05,
+      "loss": 4.3823,
+      "mean_token_accuracy": 0.23788939118385316,
+      "num_tokens": 20014183.0,
+      "step": 10980
+    },
+    {
+      "entropy": 5.199581241607666,
+      "epoch": 9.101077050538525,
+      "grad_norm": 1.40625,
+      "learning_rate": 6.042757061137545e-05,
+      "loss": 4.4078,
+      "mean_token_accuracy": 0.23736743181943892,
+      "num_tokens": 20023537.0,
+      "step": 10985
+    },
+    {
+      "entropy": 5.305942583084106,
+      "epoch": 9.105219552609777,
+      "grad_norm": 1.4609375,
+      "learning_rate": 6.033163212476762e-05,
+      "loss": 4.4498,
+      "mean_token_accuracy": 0.24004426300525666,
+      "num_tokens": 20032639.0,
+      "step": 10990
+    },
+    {
+      "entropy": 5.27437014579773,
+      "epoch": 9.109362054681027,
+      "grad_norm": 1.4453125,
+      "learning_rate": 6.023612664771651e-05,
+      "loss": 4.4331,
+      "mean_token_accuracy": 0.24564536660909653,
+      "num_tokens": 20041273.0,
+      "step": 10995
+    },
+    {
+      "entropy": 5.284713315963745,
+      "epoch": 9.113504556752279,
+      "grad_norm": 1.5234375,
+      "learning_rate": 6.014105437286705e-05,
+      "loss": 4.3282,
+      "mean_token_accuracy": 0.2430446207523346,
+      "num_tokens": 20049730.0,
+      "step": 11000
+    },
+    {
+      "epoch": 9.113504556752279,
+      "eval_entropy": 5.114147528910688,
+      "eval_loss": 5.719377517700195,
+      "eval_mean_token_accuracy": 0.16999920770557705,
+      "eval_num_tokens": 20049730.0,
+      "eval_runtime": 2.9375,
+      "eval_samples_per_second": 1275.591,
+      "eval_steps_per_second": 159.662,
+      "step": 11000
+    },
+    {
+      "entropy": 5.24180040359497,
+      "epoch": 9.117647058823529,
+      "grad_norm": 1.4765625,
+      "learning_rate": 6.0046415491990355e-05,
+      "loss": 4.3937,
+      "mean_token_accuracy": 0.25516707450151443,
+      "num_tokens": 20059151.0,
+      "step": 11005
+    },
+    {
+      "entropy": 5.202413511276245,
+      "epoch": 9.121789560894781,
+      "grad_norm": 1.5078125,
+      "learning_rate": 5.99522101959835e-05,
+      "loss": 4.3887,
+      "mean_token_accuracy": 0.24211544394493104,
+      "num_tokens": 20068389.0,
+      "step": 11010
+    },
+    {
+      "entropy": 5.281368446350098,
+      "epoch": 9.125932062966031,
+      "grad_norm": 1.4140625,
+      "learning_rate": 5.9858438674868744e-05,
+      "loss": 4.4735,
+      "mean_token_accuracy": 0.23574235886335373,
+      "num_tokens": 20077794.0,
+      "step": 11015
+    },
+    {
+      "entropy": 5.1950140476226805,
+      "epoch": 9.130074565037283,
+      "grad_norm": 1.4921875,
+      "learning_rate": 5.976510111779359e-05,
+      "loss": 4.3843,
+      "mean_token_accuracy": 0.24050966948270797,
+      "num_tokens": 20086641.0,
+      "step": 11020
+    },
+    {
+      "entropy": 5.214427185058594,
+      "epoch": 9.134217067108533,
+      "grad_norm": 1.375,
+      "learning_rate": 5.9672197713030044e-05,
+      "loss": 4.4005,
+      "mean_token_accuracy": 0.23612942844629287,
+      "num_tokens": 20095746.0,
+      "step": 11025
+    },
+    {
+      "entropy": 5.1744287490844725,
+      "epoch": 9.138359569179785,
+      "grad_norm": 1.3125,
+      "learning_rate": 5.9579728647974416e-05,
+      "loss": 4.408,
+      "mean_token_accuracy": 0.24396653473377228,
+      "num_tokens": 20105381.0,
+      "step": 11030
+    },
+    {
+      "entropy": 5.203481578826905,
+      "epoch": 9.142502071251036,
+      "grad_norm": 1.3515625,
+      "learning_rate": 5.948769410914694e-05,
+      "loss": 4.3372,
+      "mean_token_accuracy": 0.2436691477894783,
+      "num_tokens": 20114543.0,
+      "step": 11035
+    },
+    {
+      "entropy": 5.192698907852173,
+      "epoch": 9.146644573322286,
+      "grad_norm": 1.3828125,
+      "learning_rate": 5.939609428219131e-05,
+      "loss": 4.3978,
+      "mean_token_accuracy": 0.23308191001415252,
+      "num_tokens": 20123528.0,
+      "step": 11040
+    },
+    {
+      "entropy": 5.177680969238281,
+      "epoch": 9.150787075393538,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.930492935187446e-05,
+      "loss": 4.3551,
+      "mean_token_accuracy": 0.24980314522981645,
+      "num_tokens": 20132619.0,
+      "step": 11045
+    },
+    {
+      "entropy": 5.209997129440308,
+      "epoch": 9.154929577464788,
+      "grad_norm": 1.4453125,
+      "learning_rate": 5.921419950208592e-05,
+      "loss": 4.3518,
+      "mean_token_accuracy": 0.2526188284158707,
+      "num_tokens": 20140938.0,
+      "step": 11050
+    },
+    {
+      "entropy": 5.241106605529785,
+      "epoch": 9.15907207953604,
+      "grad_norm": 1.515625,
+      "learning_rate": 5.912390491583776e-05,
+      "loss": 4.4235,
+      "mean_token_accuracy": 0.23612497448921205,
+      "num_tokens": 20149925.0,
+      "step": 11055
+    },
+    {
+      "entropy": 5.194478845596313,
+      "epoch": 9.16321458160729,
+      "grad_norm": 1.4453125,
+      "learning_rate": 5.9034045775264016e-05,
+      "loss": 4.3755,
+      "mean_token_accuracy": 0.24702086597681044,
+      "num_tokens": 20158487.0,
+      "step": 11060
+    },
+    {
+      "entropy": 5.317248868942261,
+      "epoch": 9.167357083678542,
+      "grad_norm": 1.2734375,
+      "learning_rate": 5.894462226162042e-05,
+      "loss": 4.5343,
+      "mean_token_accuracy": 0.22942538410425187,
+      "num_tokens": 20168185.0,
+      "step": 11065
+    },
+    {
+      "entropy": 5.223442888259887,
+      "epoch": 9.171499585749793,
+      "grad_norm": 1.5,
+      "learning_rate": 5.8855634555283954e-05,
+      "loss": 4.3716,
+      "mean_token_accuracy": 0.25171531438827516,
+      "num_tokens": 20176629.0,
+      "step": 11070
+    },
+    {
+      "entropy": 5.173899793624878,
+      "epoch": 9.175642087821045,
+      "grad_norm": 1.515625,
+      "learning_rate": 5.876708283575254e-05,
+      "loss": 4.2819,
+      "mean_token_accuracy": 0.24907022416591645,
+      "num_tokens": 20185269.0,
+      "step": 11075
+    },
+    {
+      "entropy": 5.215456008911133,
+      "epoch": 9.179784589892295,
+      "grad_norm": 1.375,
+      "learning_rate": 5.867896728164468e-05,
+      "loss": 4.4236,
+      "mean_token_accuracy": 0.23553382754325866,
+      "num_tokens": 20194414.0,
+      "step": 11080
+    },
+    {
+      "entropy": 5.202685594558716,
+      "epoch": 9.183927091963547,
+      "grad_norm": 1.40625,
+      "learning_rate": 5.859128807069905e-05,
+      "loss": 4.3699,
+      "mean_token_accuracy": 0.2423833727836609,
+      "num_tokens": 20203139.0,
+      "step": 11085
+    },
+    {
+      "entropy": 5.1953950881958,
+      "epoch": 9.188069594034797,
+      "grad_norm": 1.4296875,
+      "learning_rate": 5.8504045379774246e-05,
+      "loss": 4.3555,
+      "mean_token_accuracy": 0.23990215510129928,
+      "num_tokens": 20211767.0,
+      "step": 11090
+    },
+    {
+      "entropy": 5.214787769317627,
+      "epoch": 9.192212096106047,
+      "grad_norm": 1.4140625,
+      "learning_rate": 5.841723938484826e-05,
+      "loss": 4.383,
+      "mean_token_accuracy": 0.23939463198184968,
+      "num_tokens": 20219916.0,
+      "step": 11095
+    },
+    {
+      "entropy": 5.167069292068481,
+      "epoch": 9.1963545981773,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.833087026101834e-05,
+      "loss": 4.3952,
+      "mean_token_accuracy": 0.2448927640914917,
+      "num_tokens": 20229082.0,
+      "step": 11100
+    },
+    {
+      "entropy": 5.230984497070312,
+      "epoch": 9.20049710024855,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.824493818250034e-05,
+      "loss": 4.48,
+      "mean_token_accuracy": 0.23048989474773407,
+      "num_tokens": 20238758.0,
+      "step": 11105
+    },
+    {
+      "entropy": 5.170281887054443,
+      "epoch": 9.204639602319801,
+      "grad_norm": 1.5625,
+      "learning_rate": 5.815944332262878e-05,
+      "loss": 4.386,
+      "mean_token_accuracy": 0.2369576647877693,
+      "num_tokens": 20248308.0,
+      "step": 11110
+    },
+    {
+      "entropy": 5.127435874938965,
+      "epoch": 9.208782104391052,
+      "grad_norm": 1.4296875,
+      "learning_rate": 5.8074385853856035e-05,
+      "loss": 4.2005,
+      "mean_token_accuracy": 0.2596850335597992,
+      "num_tokens": 20257282.0,
+      "step": 11115
+    },
+    {
+      "entropy": 5.232883644104004,
+      "epoch": 9.212924606462304,
+      "grad_norm": 1.4140625,
+      "learning_rate": 5.7989765947752384e-05,
+      "loss": 4.4306,
+      "mean_token_accuracy": 0.23911173194646834,
+      "num_tokens": 20267680.0,
+      "step": 11120
+    },
+    {
+      "entropy": 5.277715063095092,
+      "epoch": 9.217067108533554,
+      "grad_norm": 1.640625,
+      "learning_rate": 5.790558377500537e-05,
+      "loss": 4.4414,
+      "mean_token_accuracy": 0.23982625156641008,
+      "num_tokens": 20276679.0,
+      "step": 11125
+    },
+    {
+      "entropy": 5.199434614181518,
+      "epoch": 9.221209610604806,
+      "grad_norm": 1.4453125,
+      "learning_rate": 5.7821839505419636e-05,
+      "loss": 4.3163,
+      "mean_token_accuracy": 0.2499776855111122,
+      "num_tokens": 20285287.0,
+      "step": 11130
+    },
+    {
+      "entropy": 5.310716199874878,
+      "epoch": 9.225352112676056,
+      "grad_norm": 1.453125,
+      "learning_rate": 5.773853330791659e-05,
+      "loss": 4.4674,
+      "mean_token_accuracy": 0.23559706211090087,
+      "num_tokens": 20294558.0,
+      "step": 11135
+    },
+    {
+      "entropy": 5.209498119354248,
+      "epoch": 9.229494614747308,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.765566535053383e-05,
+      "loss": 4.4195,
+      "mean_token_accuracy": 0.24156573712825774,
+      "num_tokens": 20303451.0,
+      "step": 11140
+    },
+    {
+      "entropy": 5.204775094985962,
+      "epoch": 9.233637116818558,
+      "grad_norm": 1.4140625,
+      "learning_rate": 5.757323580042519e-05,
+      "loss": 4.3682,
+      "mean_token_accuracy": 0.241061794757843,
+      "num_tokens": 20312210.0,
+      "step": 11145
+    },
+    {
+      "entropy": 5.200506544113159,
+      "epoch": 9.23777961888981,
+      "grad_norm": 1.3984375,
+      "learning_rate": 5.7491244823860026e-05,
+      "loss": 4.4276,
+      "mean_token_accuracy": 0.2461535409092903,
+      "num_tokens": 20321636.0,
+      "step": 11150
+    },
+    {
+      "entropy": 5.105093193054199,
+      "epoch": 9.24192212096106,
+      "grad_norm": 1.40625,
+      "learning_rate": 5.7409692586223105e-05,
+      "loss": 4.2783,
+      "mean_token_accuracy": 0.24930579364299774,
+      "num_tokens": 20330210.0,
+      "step": 11155
+    },
+    {
+      "entropy": 5.175314474105835,
+      "epoch": 9.24606462303231,
+      "grad_norm": 1.5546875,
+      "learning_rate": 5.7328579252014204e-05,
+      "loss": 4.3896,
+      "mean_token_accuracy": 0.23808914572000503,
+      "num_tokens": 20338992.0,
+      "step": 11160
+    },
+    {
+      "entropy": 5.202330017089844,
+      "epoch": 9.250207125103563,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.724790498484778e-05,
+      "loss": 4.4045,
+      "mean_token_accuracy": 0.24115368276834487,
+      "num_tokens": 20347645.0,
+      "step": 11165
+    },
+    {
+      "entropy": 5.173482513427734,
+      "epoch": 9.254349627174813,
+      "grad_norm": 1.4296875,
+      "learning_rate": 5.7167669947452654e-05,
+      "loss": 4.3566,
+      "mean_token_accuracy": 0.2447153389453888,
+      "num_tokens": 20355415.0,
+      "step": 11170
+    },
+    {
+      "entropy": 5.183321619033814,
+      "epoch": 9.258492129246065,
+      "grad_norm": 1.5703125,
+      "learning_rate": 5.708787430167163e-05,
+      "loss": 4.3823,
+      "mean_token_accuracy": 0.2521390214562416,
+      "num_tokens": 20365238.0,
+      "step": 11175
+    },
+    {
+      "entropy": 5.227640199661255,
+      "epoch": 9.262634631317315,
+      "grad_norm": 1.3359375,
+      "learning_rate": 5.700851820846129e-05,
+      "loss": 4.3807,
+      "mean_token_accuracy": 0.2528798535466194,
+      "num_tokens": 20374522.0,
+      "step": 11180
+    },
+    {
+      "entropy": 5.251240873336792,
+      "epoch": 9.266777133388567,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.69296018278915e-05,
+      "loss": 4.3973,
+      "mean_token_accuracy": 0.24214224219322206,
+      "num_tokens": 20383449.0,
+      "step": 11185
+    },
+    {
+      "entropy": 5.21783037185669,
+      "epoch": 9.270919635459817,
+      "grad_norm": 1.4296875,
+      "learning_rate": 5.685112531914531e-05,
+      "loss": 4.4003,
+      "mean_token_accuracy": 0.2373995766043663,
+      "num_tokens": 20392236.0,
+      "step": 11190
+    },
+    {
+      "entropy": 5.172263288497925,
+      "epoch": 9.27506213753107,
+      "grad_norm": 1.5078125,
+      "learning_rate": 5.677308884051833e-05,
+      "loss": 4.3772,
+      "mean_token_accuracy": 0.23038736283779143,
+      "num_tokens": 20401416.0,
+      "step": 11195
+    },
+    {
+      "entropy": 5.218154096603394,
+      "epoch": 9.27920463960232,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.669549254941865e-05,
+      "loss": 4.3792,
+      "mean_token_accuracy": 0.24804492741823198,
+      "num_tokens": 20410136.0,
+      "step": 11200
+    },
+    {
+      "entropy": 5.19579849243164,
+      "epoch": 9.283347141673572,
+      "grad_norm": 1.390625,
+      "learning_rate": 5.661833660236657e-05,
+      "loss": 4.4006,
+      "mean_token_accuracy": 0.2395488888025284,
+      "num_tokens": 20419527.0,
+      "step": 11205
+    },
+    {
+      "entropy": 5.1951089859008786,
+      "epoch": 9.287489643744822,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.6541621154993956e-05,
+      "loss": 4.3813,
+      "mean_token_accuracy": 0.24335796087980271,
+      "num_tokens": 20428540.0,
+      "step": 11210
+    },
+    {
+      "entropy": 5.2156908988952635,
+      "epoch": 9.291632145816074,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.646534636204434e-05,
+      "loss": 4.3591,
+      "mean_token_accuracy": 0.2517013385891914,
+      "num_tokens": 20437979.0,
+      "step": 11215
+    },
+    {
+      "entropy": 5.294255638122559,
+      "epoch": 9.295774647887324,
+      "grad_norm": 1.4453125,
+      "learning_rate": 5.6389512377372245e-05,
+      "loss": 4.4703,
+      "mean_token_accuracy": 0.23591685444116592,
+      "num_tokens": 20447352.0,
+      "step": 11220
+    },
+    {
+      "entropy": 5.196146535873413,
+      "epoch": 9.299917149958574,
+      "grad_norm": 1.4609375,
+      "learning_rate": 5.6314119353943155e-05,
+      "loss": 4.4195,
+      "mean_token_accuracy": 0.23184800893068314,
+      "num_tokens": 20456085.0,
+      "step": 11225
+    },
+    {
+      "entropy": 5.144795989990234,
+      "epoch": 9.304059652029826,
+      "grad_norm": 1.453125,
+      "learning_rate": 5.6239167443833004e-05,
+      "loss": 4.293,
+      "mean_token_accuracy": 0.25145078748464583,
+      "num_tokens": 20464629.0,
+      "step": 11230
+    },
+    {
+      "entropy": 5.24092116355896,
+      "epoch": 9.308202154101076,
+      "grad_norm": 1.5,
+      "learning_rate": 5.6164656798227973e-05,
+      "loss": 4.41,
+      "mean_token_accuracy": 0.24018437564373016,
+      "num_tokens": 20473525.0,
+      "step": 11235
+    },
+    {
+      "entropy": 5.281963586807251,
+      "epoch": 9.312344656172328,
+      "grad_norm": 1.3984375,
+      "learning_rate": 5.6090587567424247e-05,
+      "loss": 4.5032,
+      "mean_token_accuracy": 0.23369361460208893,
+      "num_tokens": 20482444.0,
+      "step": 11240
+    },
+    {
+      "entropy": 5.235007619857788,
+      "epoch": 9.316487158243579,
+      "grad_norm": 1.4609375,
+      "learning_rate": 5.60169599008275e-05,
+      "loss": 4.4162,
+      "mean_token_accuracy": 0.24191972315311433,
+      "num_tokens": 20490824.0,
+      "step": 11245
+    },
+    {
+      "entropy": 5.182619524002075,
+      "epoch": 9.32062966031483,
+      "grad_norm": 1.34375,
+      "learning_rate": 5.594377394695277e-05,
+      "loss": 4.42,
+      "mean_token_accuracy": 0.240438874065876,
+      "num_tokens": 20499935.0,
+      "step": 11250
+    },
+    {
+      "entropy": 5.228481864929199,
+      "epoch": 9.32477216238608,
+      "grad_norm": 1.3828125,
+      "learning_rate": 5.587102985342416e-05,
+      "loss": 4.4121,
+      "mean_token_accuracy": 0.2429677814245224,
+      "num_tokens": 20508833.0,
+      "step": 11255
+    },
+    {
+      "entropy": 5.21046781539917,
+      "epoch": 9.328914664457333,
+      "grad_norm": 1.5,
+      "learning_rate": 5.579872776697443e-05,
+      "loss": 4.3938,
+      "mean_token_accuracy": 0.23724178969860077,
+      "num_tokens": 20516960.0,
+      "step": 11260
+    },
+    {
+      "entropy": 5.196974182128907,
+      "epoch": 9.333057166528583,
+      "grad_norm": 1.2109375,
+      "learning_rate": 5.572686783344483e-05,
+      "loss": 4.3739,
+      "mean_token_accuracy": 0.24827260971069337,
+      "num_tokens": 20526009.0,
+      "step": 11265
+    },
+    {
+      "entropy": 5.23128490447998,
+      "epoch": 9.337199668599835,
+      "grad_norm": 1.40625,
+      "learning_rate": 5.565545019778468e-05,
+      "loss": 4.4189,
+      "mean_token_accuracy": 0.23755760490894318,
+      "num_tokens": 20534684.0,
+      "step": 11270
+    },
+    {
+      "entropy": 5.194524431228638,
+      "epoch": 9.341342170671085,
+      "grad_norm": 1.4921875,
+      "learning_rate": 5.558447500405111e-05,
+      "loss": 4.3423,
+      "mean_token_accuracy": 0.2431781142950058,
+      "num_tokens": 20543429.0,
+      "step": 11275
+    },
+    {
+      "entropy": 5.225367164611816,
+      "epoch": 9.345484672742336,
+      "grad_norm": 1.3671875,
+      "learning_rate": 5.5513942395408883e-05,
+      "loss": 4.3467,
+      "mean_token_accuracy": 0.24092029184103012,
+      "num_tokens": 20552928.0,
+      "step": 11280
+    },
+    {
+      "entropy": 5.171789216995239,
+      "epoch": 9.349627174813588,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.544385251412998e-05,
+      "loss": 4.3517,
+      "mean_token_accuracy": 0.2455303981900215,
+      "num_tokens": 20562133.0,
+      "step": 11285
+    },
+    {
+      "entropy": 5.202183961868286,
+      "epoch": 9.353769676884838,
+      "grad_norm": 1.40625,
+      "learning_rate": 5.537420550159335e-05,
+      "loss": 4.399,
+      "mean_token_accuracy": 0.23516155332326888,
+      "num_tokens": 20571901.0,
+      "step": 11290
+    },
+    {
+      "entropy": 5.216619920730591,
+      "epoch": 9.35791217895609,
+      "grad_norm": 1.4296875,
+      "learning_rate": 5.530500149828463e-05,
+      "loss": 4.4419,
+      "mean_token_accuracy": 0.23697989135980607,
+      "num_tokens": 20581503.0,
+      "step": 11295
+    },
+    {
+      "entropy": 5.211494112014771,
+      "epoch": 9.36205468102734,
+      "grad_norm": 1.4296875,
+      "learning_rate": 5.523624064379585e-05,
+      "loss": 4.4523,
+      "mean_token_accuracy": 0.22732136994600297,
+      "num_tokens": 20590338.0,
+      "step": 11300
+    },
+    {
+      "entropy": 5.209840297698975,
+      "epoch": 9.366197183098592,
+      "grad_norm": 1.4609375,
+      "learning_rate": 5.516792307682516e-05,
+      "loss": 4.4431,
+      "mean_token_accuracy": 0.23397488594055177,
+      "num_tokens": 20599305.0,
+      "step": 11305
+    },
+    {
+      "entropy": 5.180578374862671,
+      "epoch": 9.370339685169842,
+      "grad_norm": 1.4140625,
+      "learning_rate": 5.510004893517655e-05,
+      "loss": 4.333,
+      "mean_token_accuracy": 0.24797011613845826,
+      "num_tokens": 20608043.0,
+      "step": 11310
+    },
+    {
+      "entropy": 5.196534729003906,
+      "epoch": 9.374482187241094,
+      "grad_norm": 1.3125,
+      "learning_rate": 5.503261835575965e-05,
+      "loss": 4.4264,
+      "mean_token_accuracy": 0.23905286490917205,
+      "num_tokens": 20617121.0,
+      "step": 11315
+    },
+    {
+      "entropy": 5.208180236816406,
+      "epoch": 9.378624689312344,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.4965631474589205e-05,
+      "loss": 4.3852,
+      "mean_token_accuracy": 0.2385222390294075,
+      "num_tokens": 20625935.0,
+      "step": 11320
+    },
+    {
+      "entropy": 5.1727550506591795,
+      "epoch": 9.382767191383596,
+      "grad_norm": 1.3125,
+      "learning_rate": 5.4899088426785145e-05,
+      "loss": 4.3359,
+      "mean_token_accuracy": 0.24215788245201111,
+      "num_tokens": 20635606.0,
+      "step": 11325
+    },
+    {
+      "entropy": 5.159403991699219,
+      "epoch": 9.386909693454847,
+      "grad_norm": 1.6015625,
+      "learning_rate": 5.4832989346572046e-05,
+      "loss": 4.3162,
+      "mean_token_accuracy": 0.26010559499263763,
+      "num_tokens": 20644254.0,
+      "step": 11330
+    },
+    {
+      "entropy": 5.231632709503174,
+      "epoch": 9.391052195526099,
+      "grad_norm": 1.3984375,
+      "learning_rate": 5.476733436727895e-05,
+      "loss": 4.3983,
+      "mean_token_accuracy": 0.24107942581176758,
+      "num_tokens": 20653157.0,
+      "step": 11335
+    },
+    {
+      "entropy": 5.194467544555664,
+      "epoch": 9.395194697597349,
+      "grad_norm": 1.5078125,
+      "learning_rate": 5.47021236213392e-05,
+      "loss": 4.3836,
+      "mean_token_accuracy": 0.2452881082892418,
+      "num_tokens": 20662169.0,
+      "step": 11340
+    },
+    {
+      "entropy": 5.245670223236084,
+      "epoch": 9.399337199668599,
+      "grad_norm": 1.3828125,
+      "learning_rate": 5.463735724028991e-05,
+      "loss": 4.4267,
+      "mean_token_accuracy": 0.23695690035820008,
+      "num_tokens": 20671915.0,
+      "step": 11345
+    },
+    {
+      "entropy": 5.230974960327148,
+      "epoch": 9.403479701739851,
+      "grad_norm": 1.4375,
+      "learning_rate": 5.457303535477202e-05,
+      "loss": 4.4205,
+      "mean_token_accuracy": 0.24769917875528336,
+      "num_tokens": 20681157.0,
+      "step": 11350
+    },
+    {
+      "entropy": 5.197664594650268,
+      "epoch": 9.407622203811101,
+      "grad_norm": 1.34375,
+      "learning_rate": 5.450915809452976e-05,
+      "loss": 4.3951,
+      "mean_token_accuracy": 0.24207646101713182,
+      "num_tokens": 20690972.0,
+      "step": 11355
+    },
+    {
+      "entropy": 5.2415430545806885,
+      "epoch": 9.411764705882353,
+      "grad_norm": 1.4296875,
+      "learning_rate": 5.444572558841053e-05,
+      "loss": 4.5017,
+      "mean_token_accuracy": 0.23027117550373077,
+      "num_tokens": 20700250.0,
+      "step": 11360
+    },
+    {
+      "entropy": 5.1750246524810795,
+      "epoch": 9.415907207953603,
+      "grad_norm": 1.390625,
+      "learning_rate": 5.4382737964364674e-05,
+      "loss": 4.3287,
+      "mean_token_accuracy": 0.24736017882823944,
+      "num_tokens": 20708965.0,
+      "step": 11365
+    },
+    {
+      "entropy": 5.213246583938599,
+      "epoch": 9.420049710024855,
+      "grad_norm": 1.4140625,
+      "learning_rate": 5.432019534944507e-05,
+      "loss": 4.3582,
+      "mean_token_accuracy": 0.2454348012804985,
+      "num_tokens": 20717750.0,
+      "step": 11370
+    },
+    {
+      "entropy": 5.293984889984131,
+      "epoch": 9.424192212096106,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.4258097869807054e-05,
+      "loss": 4.4922,
+      "mean_token_accuracy": 0.23086071908473968,
+      "num_tokens": 20727904.0,
+      "step": 11375
+    },
+    {
+      "entropy": 5.3053559303283695,
+      "epoch": 9.428334714167358,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.4196445650708e-05,
+      "loss": 4.4877,
+      "mean_token_accuracy": 0.2399384930729866,
+      "num_tokens": 20737550.0,
+      "step": 11380
+    },
+    {
+      "entropy": 5.212822723388672,
+      "epoch": 9.432477216238608,
+      "grad_norm": 1.296875,
+      "learning_rate": 5.4135238816507154e-05,
+      "loss": 4.4095,
+      "mean_token_accuracy": 0.2422664538025856,
+      "num_tokens": 20747126.0,
+      "step": 11385
+    },
+    {
+      "entropy": 5.2534974098205565,
+      "epoch": 9.43661971830986,
+      "grad_norm": 1.484375,
+      "learning_rate": 5.407447749066542e-05,
+      "loss": 4.4318,
+      "mean_token_accuracy": 0.24334049671888353,
+      "num_tokens": 20755366.0,
+      "step": 11390
+    },
+    {
+      "entropy": 5.256351089477539,
+      "epoch": 9.44076222038111,
+      "grad_norm": 1.53125,
+      "learning_rate": 5.401416179574502e-05,
+      "loss": 4.3685,
+      "mean_token_accuracy": 0.24875077307224275,
+      "num_tokens": 20764277.0,
+      "step": 11395
+    },
+    {
+      "entropy": 5.181049728393555,
+      "epoch": 9.44490472245236,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.395429185340929e-05,
+      "loss": 4.3055,
+      "mean_token_accuracy": 0.25715720653533936,
+      "num_tokens": 20772839.0,
+      "step": 11400
+    },
+    {
+      "entropy": 5.2133856296539305,
+      "epoch": 9.449047224523612,
+      "grad_norm": 1.3984375,
+      "learning_rate": 5.389486778442248e-05,
+      "loss": 4.397,
+      "mean_token_accuracy": 0.24174655675888063,
+      "num_tokens": 20782135.0,
+      "step": 11405
+    },
+    {
+      "entropy": 5.255029487609863,
+      "epoch": 9.453189726594863,
+      "grad_norm": 1.40625,
+      "learning_rate": 5.3835889708649374e-05,
+      "loss": 4.4017,
+      "mean_token_accuracy": 0.2441907897591591,
+      "num_tokens": 20790746.0,
+      "step": 11410
+    },
+    {
+      "entropy": 5.227059936523437,
+      "epoch": 9.457332228666115,
+      "grad_norm": 1.53125,
+      "learning_rate": 5.3777357745055276e-05,
+      "loss": 4.4452,
+      "mean_token_accuracy": 0.24071175754070281,
+      "num_tokens": 20800260.0,
+      "step": 11415
+    },
+    {
+      "entropy": 5.238898229598999,
+      "epoch": 9.461474730737365,
+      "grad_norm": 1.40625,
+      "learning_rate": 5.371927201170547e-05,
+      "loss": 4.4318,
+      "mean_token_accuracy": 0.23850919157266617,
+      "num_tokens": 20809168.0,
+      "step": 11420
+    },
+    {
+      "entropy": 5.25923342704773,
+      "epoch": 9.465617232808617,
+      "grad_norm": 1.390625,
+      "learning_rate": 5.3661632625765284e-05,
+      "loss": 4.4814,
+      "mean_token_accuracy": 0.23207752406597137,
+      "num_tokens": 20819697.0,
+      "step": 11425
+    },
+    {
+      "entropy": 5.214989042282104,
+      "epoch": 9.469759734879867,
+      "grad_norm": 1.3828125,
+      "learning_rate": 5.360443970349965e-05,
+      "loss": 4.3423,
+      "mean_token_accuracy": 0.24522960633039476,
+      "num_tokens": 20828836.0,
+      "step": 11430
+    },
+    {
+      "entropy": 5.235601234436035,
+      "epoch": 9.473902236951119,
+      "grad_norm": 1.3046875,
+      "learning_rate": 5.3547693360272904e-05,
+      "loss": 4.4556,
+      "mean_token_accuracy": 0.23457100838422776,
+      "num_tokens": 20838176.0,
+      "step": 11435
+    },
+    {
+      "entropy": 5.19571967124939,
+      "epoch": 9.47804473902237,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.349139371054865e-05,
+      "loss": 4.4529,
+      "mean_token_accuracy": 0.23999389111995698,
+      "num_tokens": 20848110.0,
+      "step": 11440
+    },
+    {
+      "entropy": 5.244784593582153,
+      "epoch": 9.482187241093621,
+      "grad_norm": 1.5078125,
+      "learning_rate": 5.343554086788945e-05,
+      "loss": 4.3882,
+      "mean_token_accuracy": 0.2441453754901886,
+      "num_tokens": 20856680.0,
+      "step": 11445
+    },
+    {
+      "entropy": 5.20223650932312,
+      "epoch": 9.486329743164871,
+      "grad_norm": 1.3984375,
+      "learning_rate": 5.338013494495658e-05,
+      "loss": 4.4097,
+      "mean_token_accuracy": 0.24081601649522782,
+      "num_tokens": 20865099.0,
+      "step": 11450
+    },
+    {
+      "entropy": 5.218722105026245,
+      "epoch": 9.490472245236123,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.3325176053509826e-05,
+      "loss": 4.442,
+      "mean_token_accuracy": 0.24055764228105544,
+      "num_tokens": 20874134.0,
+      "step": 11455
+    },
+    {
+      "entropy": 5.219801807403565,
+      "epoch": 9.494614747307374,
+      "grad_norm": 1.4765625,
+      "learning_rate": 5.3270664304407256e-05,
+      "loss": 4.3779,
+      "mean_token_accuracy": 0.2434104412794113,
+      "num_tokens": 20883136.0,
+      "step": 11460
+    },
+    {
+      "entropy": 5.199105167388916,
+      "epoch": 9.498757249378624,
+      "grad_norm": 1.5546875,
+      "learning_rate": 5.32165998076051e-05,
+      "loss": 4.387,
+      "mean_token_accuracy": 0.2375896692276001,
+      "num_tokens": 20891028.0,
+      "step": 11465
+    },
+    {
+      "entropy": 5.177123546600342,
+      "epoch": 9.502899751449876,
+      "grad_norm": 1.375,
+      "learning_rate": 5.316298267215728e-05,
+      "loss": 4.4052,
+      "mean_token_accuracy": 0.23749941140413283,
+      "num_tokens": 20900471.0,
+      "step": 11470
+    },
+    {
+      "entropy": 5.221874094009399,
+      "epoch": 9.507042253521126,
+      "grad_norm": 1.375,
+      "learning_rate": 5.310981300621547e-05,
+      "loss": 4.3999,
+      "mean_token_accuracy": 0.23606719821691513,
+      "num_tokens": 20909854.0,
+      "step": 11475
+    },
+    {
+      "entropy": 5.225886297225952,
+      "epoch": 9.511184755592378,
+      "grad_norm": 1.4453125,
+      "learning_rate": 5.305709091702865e-05,
+      "loss": 4.4125,
+      "mean_token_accuracy": 0.22680311203002929,
+      "num_tokens": 20918457.0,
+      "step": 11480
+    },
+    {
+      "entropy": 5.226688003540039,
+      "epoch": 9.515327257663628,
+      "grad_norm": 1.4140625,
+      "learning_rate": 5.30048165109431e-05,
+      "loss": 4.3937,
+      "mean_token_accuracy": 0.23724466562271118,
+      "num_tokens": 20928194.0,
+      "step": 11485
+    },
+    {
+      "entropy": 5.200339078903198,
+      "epoch": 9.51946975973488,
+      "grad_norm": 1.3515625,
+      "learning_rate": 5.295298989340196e-05,
+      "loss": 4.3571,
+      "mean_token_accuracy": 0.24498011618852616,
+      "num_tokens": 20938674.0,
+      "step": 11490
+    },
+    {
+      "entropy": 5.2281170845031735,
+      "epoch": 9.52361226180613,
+      "grad_norm": 1.4609375,
+      "learning_rate": 5.290161116894518e-05,
+      "loss": 4.4226,
+      "mean_token_accuracy": 0.23861729800701142,
+      "num_tokens": 20947168.0,
+      "step": 11495
+    },
+    {
+      "entropy": 5.249653100967407,
+      "epoch": 9.527754763877383,
+      "grad_norm": 1.5859375,
+      "learning_rate": 5.285068044120927e-05,
+      "loss": 4.4328,
+      "mean_token_accuracy": 0.2450338751077652,
+      "num_tokens": 20956075.0,
+      "step": 11500
+    },
+    {
+      "epoch": 9.527754763877383,
+      "eval_entropy": 5.114104460043185,
+      "eval_loss": 5.720701217651367,
+      "eval_mean_token_accuracy": 0.16993870158820773,
+      "eval_num_tokens": 20956075.0,
+      "eval_runtime": 2.7587,
+      "eval_samples_per_second": 1358.255,
+      "eval_steps_per_second": 170.008,
+      "step": 11500
+    },
+    {
+      "entropy": 5.266782331466675,
+      "epoch": 9.531897265948633,
+      "grad_norm": 1.2734375,
+      "learning_rate": 5.280019781292707e-05,
+      "loss": 4.405,
+      "mean_token_accuracy": 0.2369287446141243,
+      "num_tokens": 20966187.0,
+      "step": 11505
+    },
+    {
+      "entropy": 5.240145587921143,
+      "epoch": 9.536039768019885,
+      "grad_norm": 1.5390625,
+      "learning_rate": 5.27501633859276e-05,
+      "loss": 4.4002,
+      "mean_token_accuracy": 0.24010625779628753,
+      "num_tokens": 20975865.0,
+      "step": 11510
+    },
+    {
+      "entropy": 5.159635162353515,
+      "epoch": 9.540182270091135,
+      "grad_norm": 1.2734375,
+      "learning_rate": 5.270057726113572e-05,
+      "loss": 4.3354,
+      "mean_token_accuracy": 0.25023750960826874,
+      "num_tokens": 20984907.0,
+      "step": 11515
+    },
+    {
+      "entropy": 5.194441938400269,
+      "epoch": 9.544324772162387,
+      "grad_norm": 1.3828125,
+      "learning_rate": 5.265143953857205e-05,
+      "loss": 4.3943,
+      "mean_token_accuracy": 0.24049336463212967,
+      "num_tokens": 20993915.0,
+      "step": 11520
+    },
+    {
+      "entropy": 5.226407718658447,
+      "epoch": 9.548467274233637,
+      "grad_norm": 1.359375,
+      "learning_rate": 5.2602750317352814e-05,
+      "loss": 4.4014,
+      "mean_token_accuracy": 0.23668222427368163,
+      "num_tokens": 21002971.0,
+      "step": 11525
+    },
+    {
+      "entropy": 5.183192300796509,
+      "epoch": 9.552609776304887,
+      "grad_norm": 1.2734375,
+      "learning_rate": 5.25545096956894e-05,
+      "loss": 4.3938,
+      "mean_token_accuracy": 0.2467254191637039,
+      "num_tokens": 21012543.0,
+      "step": 11530
+    },
+    {
+      "entropy": 5.174312782287598,
+      "epoch": 9.55675227837614,
+      "grad_norm": 1.3828125,
+      "learning_rate": 5.250671777088849e-05,
+      "loss": 4.3729,
+      "mean_token_accuracy": 0.23436859399080276,
+      "num_tokens": 21021618.0,
+      "step": 11535
+    },
+    {
+      "entropy": 5.158681774139405,
+      "epoch": 9.56089478044739,
+      "grad_norm": 1.3203125,
+      "learning_rate": 5.245937463935159e-05,
+      "loss": 4.3608,
+      "mean_token_accuracy": 0.24328911453485488,
+      "num_tokens": 21030872.0,
+      "step": 11540
+    },
+    {
+      "entropy": 5.194266891479492,
+      "epoch": 9.565037282518642,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.241248039657496e-05,
+      "loss": 4.3721,
+      "mean_token_accuracy": 0.24719357639551162,
+      "num_tokens": 21039313.0,
+      "step": 11545
+    },
+    {
+      "entropy": 5.1724096775054935,
+      "epoch": 9.569179784589892,
+      "grad_norm": 1.3984375,
+      "learning_rate": 5.236603513714943e-05,
+      "loss": 4.3169,
+      "mean_token_accuracy": 0.25076732486486436,
+      "num_tokens": 21048766.0,
+      "step": 11550
+    },
+    {
+      "entropy": 5.207181406021118,
+      "epoch": 9.573322286661144,
+      "grad_norm": 1.3359375,
+      "learning_rate": 5.232003895476016e-05,
+      "loss": 4.4169,
+      "mean_token_accuracy": 0.2487204760313034,
+      "num_tokens": 21058335.0,
+      "step": 11555
+    },
+    {
+      "entropy": 5.242167329788208,
+      "epoch": 9.577464788732394,
+      "grad_norm": 1.546875,
+      "learning_rate": 5.227449194218648e-05,
+      "loss": 4.4503,
+      "mean_token_accuracy": 0.23297736644744874,
+      "num_tokens": 21066643.0,
+      "step": 11560
+    },
+    {
+      "entropy": 5.134448671340943,
+      "epoch": 9.581607290803646,
+      "grad_norm": 1.5078125,
+      "learning_rate": 5.222939419130167e-05,
+      "loss": 4.2993,
+      "mean_token_accuracy": 0.2572207450866699,
+      "num_tokens": 21075455.0,
+      "step": 11565
+    },
+    {
+      "entropy": 5.221779918670654,
+      "epoch": 9.585749792874896,
+      "grad_norm": 1.4453125,
+      "learning_rate": 5.218474579307282e-05,
+      "loss": 4.3988,
+      "mean_token_accuracy": 0.24160387367010117,
+      "num_tokens": 21085517.0,
+      "step": 11570
+    },
+    {
+      "entropy": 5.239555358886719,
+      "epoch": 9.589892294946148,
+      "grad_norm": 1.484375,
+      "learning_rate": 5.214054683756069e-05,
+      "loss": 4.417,
+      "mean_token_accuracy": 0.23950826078653337,
+      "num_tokens": 21094469.0,
+      "step": 11575
+    },
+    {
+      "entropy": 5.2238609790802,
+      "epoch": 9.594034797017398,
+      "grad_norm": 1.3828125,
+      "learning_rate": 5.2096797413919344e-05,
+      "loss": 4.4145,
+      "mean_token_accuracy": 0.2446170777082443,
+      "num_tokens": 21104257.0,
+      "step": 11580
+    },
+    {
+      "entropy": 5.150522232055664,
+      "epoch": 9.59817729908865,
+      "grad_norm": 1.453125,
+      "learning_rate": 5.205349761039613e-05,
+      "loss": 4.2881,
+      "mean_token_accuracy": 0.25747537314891816,
+      "num_tokens": 21112887.0,
+      "step": 11585
+    },
+    {
+      "entropy": 5.178083276748657,
+      "epoch": 9.6023198011599,
+      "grad_norm": 1.40625,
+      "learning_rate": 5.201064751433156e-05,
+      "loss": 4.3521,
+      "mean_token_accuracy": 0.2525580883026123,
+      "num_tokens": 21121686.0,
+      "step": 11590
+    },
+    {
+      "entropy": 5.220233535766601,
+      "epoch": 9.606462303231151,
+      "grad_norm": 1.359375,
+      "learning_rate": 5.19682472121589e-05,
+      "loss": 4.4425,
+      "mean_token_accuracy": 0.2389208734035492,
+      "num_tokens": 21131291.0,
+      "step": 11595
+    },
+    {
+      "entropy": 5.203291702270508,
+      "epoch": 9.610604805302403,
+      "grad_norm": 1.359375,
+      "learning_rate": 5.192629678940421e-05,
+      "loss": 4.3778,
+      "mean_token_accuracy": 0.2403276816010475,
+      "num_tokens": 21140203.0,
+      "step": 11600
+    },
+    {
+      "entropy": 5.203838634490967,
+      "epoch": 9.614747307373653,
+      "grad_norm": 1.3515625,
+      "learning_rate": 5.188479633068607e-05,
+      "loss": 4.4183,
+      "mean_token_accuracy": 0.24295357316732408,
+      "num_tokens": 21148897.0,
+      "step": 11605
+    },
+    {
+      "entropy": 5.256254196166992,
+      "epoch": 9.618889809444905,
+      "grad_norm": 1.5,
+      "learning_rate": 5.1843745919715485e-05,
+      "loss": 4.4341,
+      "mean_token_accuracy": 0.23405769020318984,
+      "num_tokens": 21157756.0,
+      "step": 11610
+    },
+    {
+      "entropy": 5.206856822967529,
+      "epoch": 9.623032311516155,
+      "grad_norm": 1.3125,
+      "learning_rate": 5.180314563929555e-05,
+      "loss": 4.39,
+      "mean_token_accuracy": 0.24298899322748185,
+      "num_tokens": 21167344.0,
+      "step": 11615
+    },
+    {
+      "entropy": 5.221960401535034,
+      "epoch": 9.627174813587407,
+      "grad_norm": 1.4765625,
+      "learning_rate": 5.176299557132151e-05,
+      "loss": 4.4401,
+      "mean_token_accuracy": 0.23725925832986833,
+      "num_tokens": 21176835.0,
+      "step": 11620
+    },
+    {
+      "entropy": 5.153981781005859,
+      "epoch": 9.631317315658658,
+      "grad_norm": 1.2734375,
+      "learning_rate": 5.172329579678042e-05,
+      "loss": 4.2982,
+      "mean_token_accuracy": 0.25208594352006913,
+      "num_tokens": 21186161.0,
+      "step": 11625
+    },
+    {
+      "entropy": 5.272670841217041,
+      "epoch": 9.63545981772991,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.168404639575108e-05,
+      "loss": 4.4212,
+      "mean_token_accuracy": 0.24379022270441056,
+      "num_tokens": 21195428.0,
+      "step": 11630
+    },
+    {
+      "entropy": 5.259535551071167,
+      "epoch": 9.63960231980116,
+      "grad_norm": 1.4609375,
+      "learning_rate": 5.1645247447403826e-05,
+      "loss": 4.4326,
+      "mean_token_accuracy": 0.23898615092039108,
+      "num_tokens": 21203541.0,
+      "step": 11635
+    },
+    {
+      "entropy": 5.228976011276245,
+      "epoch": 9.64374482187241,
+      "grad_norm": 1.3125,
+      "learning_rate": 5.1606899030000355e-05,
+      "loss": 4.4151,
+      "mean_token_accuracy": 0.24136419892311095,
+      "num_tokens": 21213092.0,
+      "step": 11640
+    },
+    {
+      "entropy": 5.175369930267334,
+      "epoch": 9.647887323943662,
+      "grad_norm": 1.375,
+      "learning_rate": 5.156900122089365e-05,
+      "loss": 4.3962,
+      "mean_token_accuracy": 0.24192215353250504,
+      "num_tokens": 21222427.0,
+      "step": 11645
+    },
+    {
+      "entropy": 5.230413007736206,
+      "epoch": 9.652029826014912,
+      "grad_norm": 1.484375,
+      "learning_rate": 5.153155409652768e-05,
+      "loss": 4.432,
+      "mean_token_accuracy": 0.2374855935573578,
+      "num_tokens": 21231253.0,
+      "step": 11650
+    },
+    {
+      "entropy": 5.203400421142578,
+      "epoch": 9.656172328086164,
+      "grad_norm": 1.4765625,
+      "learning_rate": 5.1494557732437435e-05,
+      "loss": 4.4733,
+      "mean_token_accuracy": 0.2342583119869232,
+      "num_tokens": 21240522.0,
+      "step": 11655
+    },
+    {
+      "entropy": 5.20927472114563,
+      "epoch": 9.660314830157414,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.14580122032486e-05,
+      "loss": 4.358,
+      "mean_token_accuracy": 0.24714421182870866,
+      "num_tokens": 21250354.0,
+      "step": 11660
+    },
+    {
+      "entropy": 5.269120168685913,
+      "epoch": 9.664457332228666,
+      "grad_norm": 1.4609375,
+      "learning_rate": 5.142191758267751e-05,
+      "loss": 4.3959,
+      "mean_token_accuracy": 0.24433231055736543,
+      "num_tokens": 21259098.0,
+      "step": 11665
+    },
+    {
+      "entropy": 5.218132352828979,
+      "epoch": 9.668599834299917,
+      "grad_norm": 1.53125,
+      "learning_rate": 5.138627394353095e-05,
+      "loss": 4.4588,
+      "mean_token_accuracy": 0.24320885837078093,
+      "num_tokens": 21267592.0,
+      "step": 11670
+    },
+    {
+      "entropy": 5.20297908782959,
+      "epoch": 9.672742336371169,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.135108135770603e-05,
+      "loss": 4.428,
+      "mean_token_accuracy": 0.23910461068153382,
+      "num_tokens": 21276991.0,
+      "step": 11675
+    },
+    {
+      "entropy": 5.184666967391967,
+      "epoch": 9.676884838442419,
+      "grad_norm": 1.3828125,
+      "learning_rate": 5.131633989619008e-05,
+      "loss": 4.383,
+      "mean_token_accuracy": 0.2423979014158249,
+      "num_tokens": 21286403.0,
+      "step": 11680
+    },
+    {
+      "entropy": 5.214335870742798,
+      "epoch": 9.68102734051367,
+      "grad_norm": 1.375,
+      "learning_rate": 5.12820496290604e-05,
+      "loss": 4.4161,
+      "mean_token_accuracy": 0.23396081626415252,
+      "num_tokens": 21296433.0,
+      "step": 11685
+    },
+    {
+      "entropy": 5.198829889297485,
+      "epoch": 9.685169842584921,
+      "grad_norm": 1.4375,
+      "learning_rate": 5.124821062548417e-05,
+      "loss": 4.4632,
+      "mean_token_accuracy": 0.23911410570144653,
+      "num_tokens": 21306074.0,
+      "step": 11690
+    },
+    {
+      "entropy": 5.2386613368988035,
+      "epoch": 9.689312344656173,
+      "grad_norm": 1.4140625,
+      "learning_rate": 5.121482295371841e-05,
+      "loss": 4.4584,
+      "mean_token_accuracy": 0.23842231035232545,
+      "num_tokens": 21316235.0,
+      "step": 11695
+    },
+    {
+      "entropy": 5.224297714233399,
+      "epoch": 9.693454846727423,
+      "grad_norm": 1.359375,
+      "learning_rate": 5.1181886681109676e-05,
+      "loss": 4.4582,
+      "mean_token_accuracy": 0.2248012065887451,
+      "num_tokens": 21326738.0,
+      "step": 11700
+    },
+    {
+      "entropy": 5.224979639053345,
+      "epoch": 9.697597348798674,
+      "grad_norm": 1.453125,
+      "learning_rate": 5.1149401874094035e-05,
+      "loss": 4.3999,
+      "mean_token_accuracy": 0.2408125326037407,
+      "num_tokens": 21337557.0,
+      "step": 11705
+    },
+    {
+      "entropy": 5.215403079986572,
+      "epoch": 9.701739850869926,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.111736859819692e-05,
+      "loss": 4.3796,
+      "mean_token_accuracy": 0.24003734290599824,
+      "num_tokens": 21347179.0,
+      "step": 11710
+    },
+    {
+      "entropy": 5.1441820621490475,
+      "epoch": 9.705882352941176,
+      "grad_norm": 1.5078125,
+      "learning_rate": 5.10857869180329e-05,
+      "loss": 4.3443,
+      "mean_token_accuracy": 0.24887652546167374,
+      "num_tokens": 21356544.0,
+      "step": 11715
+    },
+    {
+      "entropy": 5.219793510437012,
+      "epoch": 9.710024855012428,
+      "grad_norm": 1.25,
+      "learning_rate": 5.105465689730571e-05,
+      "loss": 4.3964,
+      "mean_token_accuracy": 0.2463588759303093,
+      "num_tokens": 21365985.0,
+      "step": 11720
+    },
+    {
+      "entropy": 5.177229642868042,
+      "epoch": 9.714167357083678,
+      "grad_norm": 1.4296875,
+      "learning_rate": 5.1023978598808e-05,
+      "loss": 4.3707,
+      "mean_token_accuracy": 0.2494347721338272,
+      "num_tokens": 21375758.0,
+      "step": 11725
+    },
+    {
+      "entropy": 5.170178365707398,
+      "epoch": 9.71830985915493,
+      "grad_norm": 1.453125,
+      "learning_rate": 5.09937520844212e-05,
+      "loss": 4.3368,
+      "mean_token_accuracy": 0.24704499989748002,
+      "num_tokens": 21383714.0,
+      "step": 11730
+    },
+    {
+      "entropy": 5.205775117874145,
+      "epoch": 9.72245236122618,
+      "grad_norm": 1.4453125,
+      "learning_rate": 5.0963977415115586e-05,
+      "loss": 4.4299,
+      "mean_token_accuracy": 0.2330300197005272,
+      "num_tokens": 21393261.0,
+      "step": 11735
+    },
+    {
+      "entropy": 5.1720069408416744,
+      "epoch": 9.726594863297432,
+      "grad_norm": 1.4140625,
+      "learning_rate": 5.0934654650949854e-05,
+      "loss": 4.3797,
+      "mean_token_accuracy": 0.24704006910324097,
+      "num_tokens": 21402071.0,
+      "step": 11740
+    },
+    {
+      "entropy": 5.274179315567016,
+      "epoch": 9.730737365368682,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.090578385107121e-05,
+      "loss": 4.4444,
+      "mean_token_accuracy": 0.23716523200273515,
+      "num_tokens": 21411165.0,
+      "step": 11745
+    },
+    {
+      "entropy": 5.169753646850586,
+      "epoch": 9.734879867439934,
+      "grad_norm": 1.4140625,
+      "learning_rate": 5.0877365073715285e-05,
+      "loss": 4.3939,
+      "mean_token_accuracy": 0.2404576525092125,
+      "num_tokens": 21420641.0,
+      "step": 11750
+    },
+    {
+      "entropy": 5.257231140136719,
+      "epoch": 9.739022369511185,
+      "grad_norm": 1.5234375,
+      "learning_rate": 5.0849398376205797e-05,
+      "loss": 4.3852,
+      "mean_token_accuracy": 0.2417683020234108,
+      "num_tokens": 21429293.0,
+      "step": 11755
+    },
+    {
+      "entropy": 5.206450462341309,
+      "epoch": 9.743164871582437,
+      "grad_norm": 1.34375,
+      "learning_rate": 5.082188381495463e-05,
+      "loss": 4.3834,
+      "mean_token_accuracy": 0.241250616312027,
+      "num_tokens": 21438978.0,
+      "step": 11760
+    },
+    {
+      "entropy": 5.190227413177491,
+      "epoch": 9.747307373653687,
+      "grad_norm": 1.5625,
+      "learning_rate": 5.0794821445461716e-05,
+      "loss": 4.3886,
+      "mean_token_accuracy": 0.2390499457716942,
+      "num_tokens": 21447321.0,
+      "step": 11765
+    },
+    {
+      "entropy": 5.184480953216553,
+      "epoch": 9.751449875724937,
+      "grad_norm": 1.3359375,
+      "learning_rate": 5.076821132231474e-05,
+      "loss": 4.3982,
+      "mean_token_accuracy": 0.23653560876846313,
+      "num_tokens": 21456221.0,
+      "step": 11770
+    },
+    {
+      "entropy": 5.2345081806182865,
+      "epoch": 9.755592377796189,
+      "grad_norm": 1.4765625,
+      "learning_rate": 5.074205349918927e-05,
+      "loss": 4.4494,
+      "mean_token_accuracy": 0.23736606389284134,
+      "num_tokens": 21466123.0,
+      "step": 11775
+    },
+    {
+      "entropy": 5.239090061187744,
+      "epoch": 9.75973487986744,
+      "grad_norm": 1.40625,
+      "learning_rate": 5.071634802884852e-05,
+      "loss": 4.4102,
+      "mean_token_accuracy": 0.23271892517805098,
+      "num_tokens": 21476033.0,
+      "step": 11780
+    },
+    {
+      "entropy": 5.192892122268677,
+      "epoch": 9.763877381938691,
+      "grad_norm": 1.34375,
+      "learning_rate": 5.0691094963143157e-05,
+      "loss": 4.3663,
+      "mean_token_accuracy": 0.23865313827991486,
+      "num_tokens": 21484393.0,
+      "step": 11785
+    },
+    {
+      "entropy": 5.2548933029174805,
+      "epoch": 9.768019884009941,
+      "grad_norm": 1.375,
+      "learning_rate": 5.066629435301143e-05,
+      "loss": 4.4508,
+      "mean_token_accuracy": 0.24377089589834214,
+      "num_tokens": 21493045.0,
+      "step": 11790
+    },
+    {
+      "entropy": 5.194973945617676,
+      "epoch": 9.772162386081193,
+      "grad_norm": 1.6484375,
+      "learning_rate": 5.0641946248478876e-05,
+      "loss": 4.3953,
+      "mean_token_accuracy": 0.23680465668439865,
+      "num_tokens": 21500913.0,
+      "step": 11795
+    },
+    {
+      "entropy": 5.159683704376221,
+      "epoch": 9.776304888152444,
+      "grad_norm": 1.5078125,
+      "learning_rate": 5.061805069865827e-05,
+      "loss": 4.2861,
+      "mean_token_accuracy": 0.24696215838193894,
+      "num_tokens": 21509444.0,
+      "step": 11800
+    },
+    {
+      "entropy": 5.213501501083374,
+      "epoch": 9.780447390223696,
+      "grad_norm": 1.4296875,
+      "learning_rate": 5.059460775174955e-05,
+      "loss": 4.3757,
+      "mean_token_accuracy": 0.24704617857933045,
+      "num_tokens": 21518805.0,
+      "step": 11805
+    },
+    {
+      "entropy": 5.209772396087646,
+      "epoch": 9.784589892294946,
+      "grad_norm": 1.484375,
+      "learning_rate": 5.057161745503972e-05,
+      "loss": 4.4103,
+      "mean_token_accuracy": 0.24355926364660263,
+      "num_tokens": 21527354.0,
+      "step": 11810
+    },
+    {
+      "entropy": 5.29533166885376,
+      "epoch": 9.788732394366198,
+      "grad_norm": 1.5546875,
+      "learning_rate": 5.0549079854902665e-05,
+      "loss": 4.4304,
+      "mean_token_accuracy": 0.24322245568037032,
+      "num_tokens": 21537045.0,
+      "step": 11815
+    },
+    {
+      "entropy": 5.238578796386719,
+      "epoch": 9.792874896437448,
+      "grad_norm": 1.3359375,
+      "learning_rate": 5.052699499679925e-05,
+      "loss": 4.4552,
+      "mean_token_accuracy": 0.23769946098327638,
+      "num_tokens": 21545975.0,
+      "step": 11820
+    },
+    {
+      "entropy": 5.242729949951172,
+      "epoch": 9.7970173985087,
+      "grad_norm": 1.4375,
+      "learning_rate": 5.050536292527702e-05,
+      "loss": 4.4544,
+      "mean_token_accuracy": 0.22304680198431015,
+      "num_tokens": 21555309.0,
+      "step": 11825
+    },
+    {
+      "entropy": 5.218223905563354,
+      "epoch": 9.80115990057995,
+      "grad_norm": 1.484375,
+      "learning_rate": 5.0484183683970235e-05,
+      "loss": 4.4304,
+      "mean_token_accuracy": 0.2365727812051773,
+      "num_tokens": 21565044.0,
+      "step": 11830
+    },
+    {
+      "entropy": 5.262326192855835,
+      "epoch": 9.8053024026512,
+      "grad_norm": 1.578125,
+      "learning_rate": 5.046345731559973e-05,
+      "loss": 4.4653,
+      "mean_token_accuracy": 0.24070365726947784,
+      "num_tokens": 21574158.0,
+      "step": 11835
+    },
+    {
+      "entropy": 5.264584159851074,
+      "epoch": 9.809444904722453,
+      "grad_norm": 1.3203125,
+      "learning_rate": 5.044318386197286e-05,
+      "loss": 4.4899,
+      "mean_token_accuracy": 0.2350068747997284,
+      "num_tokens": 21584371.0,
+      "step": 11840
+    },
+    {
+      "entropy": 5.155444622039795,
+      "epoch": 9.813587406793703,
+      "grad_norm": 1.5234375,
+      "learning_rate": 5.042336336398341e-05,
+      "loss": 4.3371,
+      "mean_token_accuracy": 0.2430424138903618,
+      "num_tokens": 21592693.0,
+      "step": 11845
+    },
+    {
+      "entropy": 5.248815107345581,
+      "epoch": 9.817729908864955,
+      "grad_norm": 1.453125,
+      "learning_rate": 5.040399586161144e-05,
+      "loss": 4.4972,
+      "mean_token_accuracy": 0.23252930194139482,
+      "num_tokens": 21601952.0,
+      "step": 11850
+    },
+    {
+      "entropy": 5.233797216415406,
+      "epoch": 9.821872410936205,
+      "grad_norm": 1.4375,
+      "learning_rate": 5.038508139392338e-05,
+      "loss": 4.4509,
+      "mean_token_accuracy": 0.23184707909822463,
+      "num_tokens": 21611493.0,
+      "step": 11855
+    },
+    {
+      "entropy": 5.246695804595947,
+      "epoch": 9.826014913007457,
+      "grad_norm": 1.5390625,
+      "learning_rate": 5.0366619999071734e-05,
+      "loss": 4.437,
+      "mean_token_accuracy": 0.24143802225589753,
+      "num_tokens": 21619698.0,
+      "step": 11860
+    },
+    {
+      "entropy": 5.233714532852173,
+      "epoch": 9.830157415078707,
+      "grad_norm": 1.484375,
+      "learning_rate": 5.0348611714295205e-05,
+      "loss": 4.4123,
+      "mean_token_accuracy": 0.23716820180416107,
+      "num_tokens": 21628789.0,
+      "step": 11865
+    },
+    {
+      "entropy": 5.210479068756103,
+      "epoch": 9.83429991714996,
+      "grad_norm": 1.515625,
+      "learning_rate": 5.03310565759184e-05,
+      "loss": 4.3928,
+      "mean_token_accuracy": 0.2520794317126274,
+      "num_tokens": 21637928.0,
+      "step": 11870
+    },
+    {
+      "entropy": 5.223333120346069,
+      "epoch": 9.83844241922121,
+      "grad_norm": 1.4609375,
+      "learning_rate": 5.0313954619351996e-05,
+      "loss": 4.437,
+      "mean_token_accuracy": 0.23223921656608582,
+      "num_tokens": 21646500.0,
+      "step": 11875
+    },
+    {
+      "entropy": 5.267339181900025,
+      "epoch": 9.842584921292461,
+      "grad_norm": 1.4921875,
+      "learning_rate": 5.029730587909253e-05,
+      "loss": 4.4637,
+      "mean_token_accuracy": 0.2412830263376236,
+      "num_tokens": 21655356.0,
+      "step": 11880
+    },
+    {
+      "entropy": 5.231441974639893,
+      "epoch": 9.846727423363712,
+      "grad_norm": 1.4609375,
+      "learning_rate": 5.028111038872228e-05,
+      "loss": 4.426,
+      "mean_token_accuracy": 0.23428288698196412,
+      "num_tokens": 21664860.0,
+      "step": 11885
+    },
+    {
+      "entropy": 5.2260448932647705,
+      "epoch": 9.850869925434964,
+      "grad_norm": 1.515625,
+      "learning_rate": 5.026536818090935e-05,
+      "loss": 4.3858,
+      "mean_token_accuracy": 0.23733778446912765,
+      "num_tokens": 21673638.0,
+      "step": 11890
+    },
+    {
+      "entropy": 5.230390501022339,
+      "epoch": 9.855012427506214,
+      "grad_norm": 1.40625,
+      "learning_rate": 5.0250079287407486e-05,
+      "loss": 4.4118,
+      "mean_token_accuracy": 0.24365832805633544,
+      "num_tokens": 21682708.0,
+      "step": 11895
+    },
+    {
+      "entropy": 5.231134366989136,
+      "epoch": 9.859154929577464,
+      "grad_norm": 1.34375,
+      "learning_rate": 5.023524373905606e-05,
+      "loss": 4.3945,
+      "mean_token_accuracy": 0.24043529331684113,
+      "num_tokens": 21692162.0,
+      "step": 11900
+    },
+    {
+      "entropy": 5.183132171630859,
+      "epoch": 9.863297431648716,
+      "grad_norm": 1.4296875,
+      "learning_rate": 5.0220861565779966e-05,
+      "loss": 4.3616,
+      "mean_token_accuracy": 0.24586226642131806,
+      "num_tokens": 21700956.0,
+      "step": 11905
+    },
+    {
+      "entropy": 5.272827625274658,
+      "epoch": 9.867439933719966,
+      "grad_norm": 1.5234375,
+      "learning_rate": 5.020693279658967e-05,
+      "loss": 4.4582,
+      "mean_token_accuracy": 0.23015946447849273,
+      "num_tokens": 21709603.0,
+      "step": 11910
+    },
+    {
+      "entropy": 5.174969005584717,
+      "epoch": 9.871582435791218,
+      "grad_norm": 1.4453125,
+      "learning_rate": 5.0193457459580984e-05,
+      "loss": 4.3608,
+      "mean_token_accuracy": 0.24680277556180955,
+      "num_tokens": 21718858.0,
+      "step": 11915
+    },
+    {
+      "entropy": 5.176064395904541,
+      "epoch": 9.875724937862469,
+      "grad_norm": 1.3984375,
+      "learning_rate": 5.0180435581935156e-05,
+      "loss": 4.3502,
+      "mean_token_accuracy": 0.2466002583503723,
+      "num_tokens": 21727863.0,
+      "step": 11920
+    },
+    {
+      "entropy": 5.2844055652618405,
+      "epoch": 9.87986743993372,
+      "grad_norm": 1.5703125,
+      "learning_rate": 5.0167867189918727e-05,
+      "loss": 4.4172,
+      "mean_token_accuracy": 0.2388628527522087,
+      "num_tokens": 21736408.0,
+      "step": 11925
+    },
+    {
+      "entropy": 5.250092363357544,
+      "epoch": 9.88400994200497,
+      "grad_norm": 1.2890625,
+      "learning_rate": 5.015575230888351e-05,
+      "loss": 4.4257,
+      "mean_token_accuracy": 0.23509902358055115,
+      "num_tokens": 21745643.0,
+      "step": 11930
+    },
+    {
+      "entropy": 5.279187154769898,
+      "epoch": 9.888152444076223,
+      "grad_norm": 1.5546875,
+      "learning_rate": 5.014409096326654e-05,
+      "loss": 4.538,
+      "mean_token_accuracy": 0.22393469959497453,
+      "num_tokens": 21754768.0,
+      "step": 11935
+    },
+    {
+      "entropy": 5.174599123001099,
+      "epoch": 9.892294946147473,
+      "grad_norm": 1.4375,
+      "learning_rate": 5.0132883176590055e-05,
+      "loss": 4.3578,
+      "mean_token_accuracy": 0.24370780289173127,
+      "num_tokens": 21764105.0,
+      "step": 11940
+    },
+    {
+      "entropy": 5.148456239700318,
+      "epoch": 9.896437448218723,
+      "grad_norm": 1.4296875,
+      "learning_rate": 5.0122128971461365e-05,
+      "loss": 4.3502,
+      "mean_token_accuracy": 0.23987547755241395,
+      "num_tokens": 21773913.0,
+      "step": 11945
+    },
+    {
+      "entropy": 5.194407796859741,
+      "epoch": 9.900579950289975,
+      "grad_norm": 1.375,
+      "learning_rate": 5.011182836957287e-05,
+      "loss": 4.3874,
+      "mean_token_accuracy": 0.24507807344198226,
+      "num_tokens": 21783460.0,
+      "step": 11950
+    },
+    {
+      "entropy": 5.206596374511719,
+      "epoch": 9.904722452361225,
+      "grad_norm": 1.3515625,
+      "learning_rate": 5.010198139170204e-05,
+      "loss": 4.441,
+      "mean_token_accuracy": 0.23472851514816284,
+      "num_tokens": 21792642.0,
+      "step": 11955
+    },
+    {
+      "entropy": 5.223062992095947,
+      "epoch": 9.908864954432477,
+      "grad_norm": 1.4609375,
+      "learning_rate": 5.009258805771126e-05,
+      "loss": 4.396,
+      "mean_token_accuracy": 0.24268632829189302,
+      "num_tokens": 21801580.0,
+      "step": 11960
+    },
+    {
+      "entropy": 5.304762458801269,
+      "epoch": 9.913007456503728,
+      "grad_norm": 1.4140625,
+      "learning_rate": 5.008364838654795e-05,
+      "loss": 4.4683,
+      "mean_token_accuracy": 0.236898572742939,
+      "num_tokens": 21810608.0,
+      "step": 11965
+    },
+    {
+      "entropy": 5.2741130828857425,
+      "epoch": 9.91714995857498,
+      "grad_norm": 1.484375,
+      "learning_rate": 5.007516239624437e-05,
+      "loss": 4.4363,
+      "mean_token_accuracy": 0.23754393458366393,
+      "num_tokens": 21819757.0,
+      "step": 11970
+    },
+    {
+      "entropy": 5.204492616653442,
+      "epoch": 9.92129246064623,
+      "grad_norm": 1.5078125,
+      "learning_rate": 5.006713010391773e-05,
+      "loss": 4.404,
+      "mean_token_accuracy": 0.23527704030275345,
+      "num_tokens": 21828148.0,
+      "step": 11975
+    },
+    {
+      "entropy": 5.206682586669922,
+      "epoch": 9.925434962717482,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.005955152577002e-05,
+      "loss": 4.4288,
+      "mean_token_accuracy": 0.2412915349006653,
+      "num_tokens": 21837341.0,
+      "step": 11980
+    },
+    {
+      "entropy": 5.203504610061645,
+      "epoch": 9.929577464788732,
+      "grad_norm": 1.390625,
+      "learning_rate": 5.005242667708806e-05,
+      "loss": 4.3316,
+      "mean_token_accuracy": 0.24611939191818238,
+      "num_tokens": 21846963.0,
+      "step": 11985
+    },
+    {
+      "entropy": 5.23674955368042,
+      "epoch": 9.933719966859984,
+      "grad_norm": 1.5859375,
+      "learning_rate": 5.0045755572243416e-05,
+      "loss": 4.3825,
+      "mean_token_accuracy": 0.2489885687828064,
+      "num_tokens": 21855673.0,
+      "step": 11990
+    },
+    {
+      "entropy": 5.219985914230347,
+      "epoch": 9.937862468931234,
+      "grad_norm": 1.390625,
+      "learning_rate": 5.0039538224692496e-05,
+      "loss": 4.3557,
+      "mean_token_accuracy": 0.24170747101306916,
+      "num_tokens": 21864934.0,
+      "step": 11995
+    },
+    {
+      "entropy": 5.211825132369995,
+      "epoch": 9.942004971002486,
+      "grad_norm": 1.53125,
+      "learning_rate": 5.003377464697636e-05,
+      "loss": 4.4098,
+      "mean_token_accuracy": 0.24089138954877853,
+      "num_tokens": 21873289.0,
+      "step": 12000
+    },
+    {
+      "epoch": 9.942004971002486,
+      "eval_entropy": 5.125339269129706,
+      "eval_loss": 5.719822883605957,
+      "eval_mean_token_accuracy": 0.17006309012741422,
+      "eval_num_tokens": 21873289.0,
+      "eval_runtime": 2.7472,
+      "eval_samples_per_second": 1363.919,
+      "eval_steps_per_second": 170.717,
+      "step": 12000
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 12060,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 3.2648114314368e+16,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}
diff --git a/checkpoint-12000/training_args.bin b/checkpoint-12000/training_args.bin
new file mode 100644
index 0000000..47a7b32
--- /dev/null
+++ b/checkpoint-12000/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e406e906697be5d5c4bea7f90a038122ca162eb6b7e40512a32661ef55af9075
+size 6353
diff --git a/checkpoint-12060/added_tokens.json b/checkpoint-12060/added_tokens.json
new file mode 100644
index 0000000..b3dbcdb
--- /dev/null
+++ b/checkpoint-12060/added_tokens.json
@@ -0,0 +1,1202 @@
+{
+  "<pad>": 50002,
+  "[CLS]": 50000,
+  "[MASK]": 50003,
+  "[SEP]": 50001,
+  "[XXXXX0]": 50771,
+  "[XXXXX1000]": 50549,
+  "[XXXXX1001]": 50657,
+  "[XXXXX1002]": 51158,
+  "[XXXXX1003]": 51044,
+  "[XXXXX1004]": 50688,
+  "[XXXXX1005]": 50689,
+  "[XXXXX1006]": 50410,
+  "[XXXXX1007]": 50724,
+  "[XXXXX1008]": 50171,
+  "[XXXXX1009]": 51077,
+  "[XXXXX100]": 50091,
+  "[XXXXX1010]": 50639,
+  "[XXXXX1011]": 51094,
+  "[XXXXX1012]": 50392,
+  "[XXXXX1013]": 50626,
+  "[XXXXX1014]": 50991,
+  "[XXXXX1015]": 50529,
+  "[XXXXX1016]": 51193,
+  "[XXXXX1017]": 51073,
+  "[XXXXX1018]": 51104,
+  "[XXXXX1019]": 50775,
+  "[XXXXX101]": 50139,
+  "[XXXXX1020]": 50157,
+  "[XXXXX1021]": 50934,
+  "[XXXXX1022]": 51159,
+  "[XXXXX1023]": 50048,
+  "[XXXXX1024]": 51123,
+  "[XXXXX1025]": 50084,
+  "[XXXXX1026]": 50813,
+  "[XXXXX1027]": 50725,
+  "[XXXXX1028]": 50931,
+  "[XXXXX1029]": 50233,
+  "[XXXXX102]": 50213,
+  "[XXXXX1030]": 51023,
+  "[XXXXX1031]": 50098,
+  "[XXXXX1032]": 50802,
+  "[XXXXX1033]": 50061,
+  "[XXXXX1034]": 51139,
+  "[XXXXX1035]": 51110,
+  "[XXXXX1036]": 50204,
+  "[XXXXX1037]": 50023,
+  "[XXXXX1038]": 50142,
+  "[XXXXX1039]": 50328,
+  "[XXXXX103]": 50087,
+  "[XXXXX1040]": 50435,
+  "[XXXXX1041]": 50489,
+  "[XXXXX1042]": 50216,
+  "[XXXXX1043]": 50144,
+  "[XXXXX1044]": 50832,
+  "[XXXXX1045]": 50566,
+  "[XXXXX1046]": 50922,
+  "[XXXXX1047]": 50796,
+  "[XXXXX1048]": 50533,
+  "[XXXXX1049]": 50433,
+  "[XXXXX104]": 50478,
+  "[XXXXX1050]": 50953,
+  "[XXXXX1051]": 50497,
+  "[XXXXX1052]": 50655,
+  "[XXXXX1053]": 50881,
+  "[XXXXX1054]": 50461,
+  "[XXXXX1055]": 50052,
+  "[XXXXX1056]": 50219,
+  "[XXXXX1057]": 50789,
+  "[XXXXX1058]": 50121,
+  "[XXXXX1059]": 51002,
+  "[XXXXX105]": 51192,
+  "[XXXXX1060]": 50158,
+  "[XXXXX1061]": 50352,
+  "[XXXXX1062]": 50637,
+  "[XXXXX1063]": 50440,
+  "[XXXXX1064]": 50590,
+  "[XXXXX1065]": 51107,
+  "[XXXXX1066]": 50758,
+  "[XXXXX1067]": 51011,
+  "[XXXXX1068]": 50985,
+  "[XXXXX1069]": 51175,
+  "[XXXXX106]": 50532,
+  "[XXXXX1070]": 50790,
+  "[XXXXX1071]": 50394,
+  "[XXXXX1072]": 50852,
+  "[XXXXX1073]": 50869,
+  "[XXXXX1074]": 50126,
+  "[XXXXX1075]": 50783,
+  "[XXXXX1076]": 50806,
+  "[XXXXX1077]": 50882,
+  "[XXXXX1078]": 50726,
+  "[XXXXX1079]": 51010,
+  "[XXXXX107]": 50714,
+  "[XXXXX1080]": 50168,
+  "[XXXXX1081]": 50425,
+  "[XXXXX1082]": 50848,
+  "[XXXXX1083]": 50014,
+  "[XXXXX1084]": 50341,
+  "[XXXXX1085]": 50734,
+  "[XXXXX1086]": 50664,
+  "[XXXXX1087]": 51007,
+  "[XXXXX1088]": 51151,
+  "[XXXXX1089]": 50269,
+  "[XXXXX108]": 50996,
+  "[XXXXX1090]": 50826,
+  "[XXXXX1091]": 51105,
+  "[XXXXX1092]": 50731,
+  "[XXXXX1093]": 50856,
+  "[XXXXX1094]": 50369,
+  "[XXXXX1095]": 50065,
+  "[XXXXX1096]": 50309,
+  "[XXXXX1097]": 50838,
+  "[XXXXX1098]": 50451,
+  "[XXXXX1099]": 50384,
+  "[XXXXX109]": 50543,
+  "[XXXXX10]": 50325,
+  "[XXXXX1100]": 50318,
+  "[XXXXX1101]": 50764,
+  "[XXXXX1102]": 51025,
+  "[XXXXX1103]": 50642,
+  "[XXXXX1104]": 50665,
+  "[XXXXX1105]": 50855,
+  "[XXXXX1106]": 51063,
+  "[XXXXX1107]": 50025,
+  "[XXXXX1108]": 50122,
+  "[XXXXX1109]": 50470,
+  "[XXXXX110]": 50062,
+  "[XXXXX1110]": 51019,
+  "[XXXXX1111]": 51124,
+  "[XXXXX1112]": 50146,
+  "[XXXXX1113]": 51125,
+  "[XXXXX1114]": 50434,
+  "[XXXXX1115]": 50818,
+  "[XXXXX1116]": 50960,
+  "[XXXXX1117]": 50258,
+  "[XXXXX1118]": 50596,
+  "[XXXXX1119]": 50083,
+  "[XXXXX111]": 51064,
+  "[XXXXX1120]": 50915,
+  "[XXXXX1121]": 50835,
+  "[XXXXX1122]": 51056,
+  "[XXXXX1123]": 50172,
+  "[XXXXX1124]": 50972,
+  "[XXXXX1125]": 50275,
+  "[XXXXX1126]": 50430,
+  "[XXXXX1127]": 50743,
+  "[XXXXX1128]": 50551,
+  "[XXXXX1129]": 50439,
+  "[XXXXX112]": 50819,
+  "[XXXXX1130]": 50536,
+  "[XXXXX1131]": 50622,
+  "[XXXXX1132]": 50623,
+  "[XXXXX1133]": 50117,
+  "[XXXXX1134]": 50251,
+  "[XXXXX1135]": 50678,
+  "[XXXXX1136]": 50316,
+  "[XXXXX1137]": 50905,
+  "[XXXXX1138]": 50992,
+  "[XXXXX1139]": 50851,
+  "[XXXXX113]": 50443,
+  "[XXXXX1140]": 50499,
+  "[XXXXX1141]": 50629,
+  "[XXXXX1142]": 50944,
+  "[XXXXX1143]": 50373,
+  "[XXXXX1144]": 50123,
+  "[XXXXX1145]": 50173,
+  "[XXXXX1146]": 50891,
+  "[XXXXX1147]": 50471,
+  "[XXXXX1148]": 50560,
+  "[XXXXX1149]": 50541,
+  "[XXXXX114]": 50631,
+  "[XXXXX1150]": 50033,
+  "[XXXXX1151]": 50063,
+  "[XXXXX1152]": 50767,
+  "[XXXXX1153]": 50897,
+  "[XXXXX1154]": 50568,
+  "[XXXXX1155]": 51131,
+  "[XXXXX1156]": 50009,
+  "[XXXXX1157]": 50417,
+  "[XXXXX1158]": 50477,
+  "[XXXXX1159]": 50941,
+  "[XXXXX115]": 50294,
+  "[XXXXX1160]": 50679,
+  "[XXXXX1161]": 51108,
+  "[XXXXX1162]": 50332,
+  "[XXXXX1163]": 50424,
+  "[XXXXX1164]": 50473,
+  "[XXXXX1165]": 50793,
+  "[XXXXX1166]": 50453,
+  "[XXXXX1167]": 50807,
+  "[XXXXX1168]": 50128,
+  "[XXXXX1169]": 50039,
+  "[XXXXX116]": 50759,
+  "[XXXXX1170]": 50735,
+  "[XXXXX1171]": 50366,
+  "[XXXXX1172]": 50808,
+  "[XXXXX1173]": 50426,
+  "[XXXXX1174]": 50076,
+  "[XXXXX1175]": 50943,
+  "[XXXXX1176]": 50252,
+  "[XXXXX1177]": 50999,
+  "[XXXXX1178]": 50264,
+  "[XXXXX1179]": 50607,
+  "[XXXXX117]": 51036,
+  "[XXXXX1180]": 50986,
+  "[XXXXX1181]": 50744,
+  "[XXXXX1182]": 50186,
+  "[XXXXX1183]": 50555,
+  "[XXXXX1184]": 51076,
+  "[XXXXX1185]": 50849,
+  "[XXXXX1186]": 51128,
+  "[XXXXX1187]": 50858,
+  "[XXXXX1188]": 50656,
+  "[XXXXX1189]": 50064,
+  "[XXXXX118]": 50081,
+  "[XXXXX1190]": 51197,
+  "[XXXXX1191]": 50104,
+  "[XXXXX1192]": 50045,
+  "[XXXXX1193]": 50404,
+  "[XXXXX1194]": 50690,
+  "[XXXXX1195]": 50495,
+  "[XXXXX119]": 50108,
+  "[XXXXX11]": 50976,
+  "[XXXXX120]": 51081,
+  "[XXXXX121]": 50464,
+  "[XXXXX122]": 50829,
+  "[XXXXX123]": 50766,
+  "[XXXXX124]": 50732,
+  "[XXXXX125]": 50221,
+  "[XXXXX126]": 50810,
+  "[XXXXX127]": 50130,
+  "[XXXXX128]": 50751,
+  "[XXXXX129]": 50662,
+  "[XXXXX12]": 50602,
+  "[XXXXX130]": 50035,
+  "[XXXXX131]": 50715,
+  "[XXXXX132]": 50340,
+  "[XXXXX133]": 50563,
+  "[XXXXX134]": 50993,
+  "[XXXXX135]": 50304,
+  "[XXXXX136]": 50131,
+  "[XXXXX137]": 50578,
+  "[XXXXX138]": 50757,
+  "[XXXXX139]": 50582,
+  "[XXXXX13]": 50105,
+  "[XXXXX140]": 50085,
+  "[XXXXX141]": 50553,
+  "[XXXXX142]": 50749,
+  "[XXXXX143]": 50351,
+  "[XXXXX144]": 51024,
+  "[XXXXX145]": 51144,
+  "[XXXXX146]": 50042,
+  "[XXXXX147]": 50145,
+  "[XXXXX148]": 50066,
+  "[XXXXX149]": 50876,
+  "[XXXXX14]": 51006,
+  "[XXXXX150]": 50280,
+  "[XXXXX151]": 50093,
+  "[XXXXX152]": 50638,
+  "[XXXXX153]": 50684,
+  "[XXXXX154]": 50820,
+  "[XXXXX155]": 51196,
+  "[XXXXX156]": 50317,
+  "[XXXXX157]": 50284,
+  "[XXXXX158]": 50288,
+  "[XXXXX159]": 50814,
+  "[XXXXX15]": 50608,
+  "[XXXXX160]": 50004,
+  "[XXXXX161]": 50008,
+  "[XXXXX162]": 50377,
+  "[XXXXX163]": 50214,
+  "[XXXXX164]": 50708,
+  "[XXXXX165]": 50390,
+  "[XXXXX166]": 50741,
+  "[XXXXX167]": 50445,
+  "[XXXXX168]": 50936,
+  "[XXXXX169]": 50896,
+  "[XXXXX16]": 50442,
+  "[XXXXX170]": 50109,
+  "[XXXXX171]": 50140,
+  "[XXXXX172]": 50427,
+  "[XXXXX173]": 51074,
+  "[XXXXX174]": 50162,
+  "[XXXXX175]": 51015,
+  "[XXXXX176]": 50524,
+  "[XXXXX177]": 50673,
+  "[XXXXX178]": 50054,
+  "[XXXXX179]": 50805,
+  "[XXXXX17]": 50482,
+  "[XXXXX180]": 50253,
+  "[XXXXX181]": 50493,
+  "[XXXXX182]": 50421,
+  "[XXXXX183]": 51050,
+  "[XXXXX184]": 50521,
+  "[XXXXX185]": 50188,
+  "[XXXXX186]": 50147,
+  "[XXXXX187]": 50201,
+  "[XXXXX188]": 50973,
+  "[XXXXX189]": 50409,
+  "[XXXXX18]": 50115,
+  "[XXXXX190]": 50051,
+  "[XXXXX191]": 51020,
+  "[XXXXX192]": 51047,
+  "[XXXXX193]": 50669,
+  "[XXXXX194]": 50643,
+  "[XXXXX195]": 50159,
+  "[XXXXX196]": 50649,
+  "[XXXXX197]": 51178,
+  "[XXXXX198]": 50043,
+  "[XXXXX199]": 51147,
+  "[XXXXX19]": 51127,
+  "[XXXXX1]": 51114,
+  "[XXXXX200]": 50840,
+  "[XXXXX201]": 50365,
+  "[XXXXX202]": 50232,
+  "[XXXXX203]": 50241,
+  "[XXXXX204]": 50548,
+  "[XXXXX205]": 50781,
+  "[XXXXX206]": 50923,
+  "[XXXXX207]": 51115,
+  "[XXXXX208]": 50344,
+  "[XXXXX209]": 50299,
+  "[XXXXX20]": 51031,
+  "[XXXXX210]": 51179,
+  "[XXXXX211]": 51163,
+  "[XXXXX212]": 50562,
+  "[XXXXX213]": 50094,
+  "[XXXXX214]": 50257,
+  "[XXXXX215]": 50967,
+  "[XXXXX216]": 50523,
+  "[XXXXX217]": 51132,
+  "[XXXXX218]": 51146,
+  "[XXXXX219]": 50411,
+  "[XXXXX21]": 50354,
+  "[XXXXX220]": 50853,
+  "[XXXXX221]": 50886,
+  "[XXXXX222]": 50600,
+  "[XXXXX223]": 50873,
+  "[XXXXX224]": 50416,
+  "[XXXXX225]": 50675,
+  "[XXXXX226]": 50583,
+  "[XXXXX227]": 50151,
+  "[XXXXX228]": 50927,
+  "[XXXXX229]": 50609,
+  "[XXXXX22]": 50589,
+  "[XXXXX230]": 50238,
+  "[XXXXX231]": 50242,
+  "[XXXXX232]": 51016,
+  "[XXXXX233]": 50406,
+  "[XXXXX234]": 50908,
+  "[XXXXX235]": 50024,
+  "[XXXXX236]": 50270,
+  "[XXXXX237]": 50132,
+  "[XXXXX238]": 50800,
+  "[XXXXX239]": 50236,
+  "[XXXXX23]": 50007,
+  "[XXXXX240]": 50005,
+  "[XXXXX241]": 50894,
+  "[XXXXX242]": 50694,
+  "[XXXXX243]": 51071,
+  "[XXXXX244]": 51017,
+  "[XXXXX245]": 50068,
+  "[XXXXX246]": 50682,
+  "[XXXXX247]": 50913,
+  "[XXXXX248]": 51028,
+  "[XXXXX249]": 50037,
+  "[XXXXX24]": 51169,
+  "[XXXXX250]": 50747,
+  "[XXXXX251]": 50947,
+  "[XXXXX252]": 50329,
+  "[XXXXX253]": 50612,
+  "[XXXXX254]": 50110,
+  "[XXXXX255]": 50824,
+  "[XXXXX256]": 50558,
+  "[XXXXX257]": 50969,
+  "[XXXXX258]": 50729,
+  "[XXXXX259]": 50125,
+  "[XXXXX25]": 51160,
+  "[XXXXX260]": 50040,
+  "[XXXXX261]": 51038,
+  "[XXXXX262]": 50347,
+  "[XXXXX263]": 50740,
+  "[XXXXX264]": 51195,
+  "[XXXXX265]": 50879,
+  "[XXXXX266]": 50770,
+  "[XXXXX267]": 50178,
+  "[XXXXX268]": 50804,
+  "[XXXXX269]": 50906,
+  "[XXXXX26]": 50150,
+  "[XXXXX270]": 51191,
+  "[XXXXX271]": 50047,
+  "[XXXXX272]": 50195,
+  "[XXXXX273]": 50554,
+  "[XXXXX274]": 50833,
+  "[XXXXX275]": 50346,
+  "[XXXXX276]": 50950,
+  "[XXXXX277]": 50864,
+  "[XXXXX278]": 50259,
+  "[XXXXX279]": 50671,
+  "[XXXXX27]": 50468,
+  "[XXXXX280]": 50082,
+  "[XXXXX281]": 50565,
+  "[XXXXX282]": 50984,
+  "[XXXXX283]": 50650,
+  "[XXXXX284]": 50975,
+  "[XXXXX285]": 50603,
+  "[XXXXX286]": 50027,
+  "[XXXXX287]": 50181,
+  "[XXXXX288]": 50981,
+  "[XXXXX289]": 50885,
+  "[XXXXX28]": 50249,
+  "[XXXXX290]": 50522,
+  "[XXXXX291]": 50050,
+  "[XXXXX292]": 50313,
+  "[XXXXX293]": 50503,
+  "[XXXXX294]": 51176,
+  "[XXXXX295]": 51177,
+  "[XXXXX296]": 50379,
+  "[XXXXX297]": 50635,
+  "[XXXXX298]": 50723,
+  "[XXXXX299]": 50200,
+  "[XXXXX29]": 50892,
+  "[XXXXX2]": 51119,
+  "[XXXXX300]": 51026,
+  "[XXXXX301]": 50528,
+  "[XXXXX302]": 51149,
+  "[XXXXX303]": 50044,
+  "[XXXXX304]": 50209,
+  "[XXXXX305]": 50988,
+  "[XXXXX306]": 50518,
+  "[XXXXX307]": 50088,
+  "[XXXXX308]": 50733,
+  "[XXXXX309]": 51066,
+  "[XXXXX30]": 50506,
+  "[XXXXX310]": 50285,
+  "[XXXXX311]": 50859,
+  "[XXXXX312]": 50263,
+  "[XXXXX313]": 50594,
+  "[XXXXX314]": 51103,
+  "[XXXXX315]": 50871,
+  "[XXXXX316]": 50300,
+  "[XXXXX317]": 50760,
+  "[XXXXX318]": 50055,
+  "[XXXXX319]": 50389,
+  "[XXXXX31]": 50212,
+  "[XXXXX320]": 50444,
+  "[XXXXX321]": 50994,
+  "[XXXXX322]": 50281,
+  "[XXXXX323]": 50179,
+  "[XXXXX324]": 50455,
+  "[XXXXX325]": 50970,
+  "[XXXXX326]": 50666,
+  "[XXXXX327]": 50604,
+  "[XXXXX328]": 50627,
+  "[XXXXX329]": 50475,
+  "[XXXXX32]": 50277,
+  "[XXXXX330]": 50667,
+  "[XXXXX331]": 50348,
+  "[XXXXX332]": 50772,
+  "[XXXXX333]": 50163,
+  "[XXXXX334]": 50569,
+  "[XXXXX335]": 50018,
+  "[XXXXX336]": 50883,
+  "[XXXXX337]": 50067,
+  "[XXXXX338]": 51184,
+  "[XXXXX339]": 50997,
+  "[XXXXX33]": 50403,
+  "[XXXXX340]": 51013,
+  "[XXXXX341]": 50957,
+  "[XXXXX342]": 51106,
+  "[XXXXX343]": 51174,
+  "[XXXXX344]": 50391,
+  "[XXXXX345]": 50948,
+  "[XXXXX346]": 50180,
+  "[XXXXX347]": 50811,
+  "[XXXXX348]": 50401,
+  "[XXXXX349]": 50911,
+  "[XXXXX34]": 50223,
+  "[XXXXX350]": 51089,
+  "[XXXXX351]": 50777,
+  "[XXXXX352]": 50189,
+  "[XXXXX353]": 50492,
+  "[XXXXX354]": 50205,
+  "[XXXXX355]": 50374,
+  "[XXXXX356]": 51152,
+  "[XXXXX357]": 50695,
+  "[XXXXX358]": 51117,
+  "[XXXXX359]": 50573,
+  "[XXXXX35]": 50752,
+  "[XXXXX360]": 50955,
+  "[XXXXX361]": 50349,
+  "[XXXXX362]": 51137,
+  "[XXXXX363]": 50641,
+  "[XXXXX364]": 51148,
+  "[XXXXX365]": 50255,
+  "[XXXXX366]": 50310,
+  "[XXXXX367]": 50314,
+  "[XXXXX368]": 50971,
+  "[XXXXX369]": 50916,
+  "[XXXXX36]": 50437,
+  "[XXXXX370]": 51096,
+  "[XXXXX371]": 50557,
+  "[XXXXX372]": 51095,
+  "[XXXXX373]": 50382,
+  "[XXXXX374]": 50119,
+  "[XXXXX375]": 50958,
+  "[XXXXX376]": 50624,
+  "[XXXXX377]": 50483,
+  "[XXXXX378]": 50605,
+  "[XXXXX379]": 50017,
+  "[XXXXX37]": 50706,
+  "[XXXXX380]": 50246,
+  "[XXXXX381]": 50588,
+  "[XXXXX382]": 51008,
+  "[XXXXX383]": 50801,
+  "[XXXXX384]": 50290,
+  "[XXXXX385]": 50899,
+  "[XXXXX386]": 50206,
+  "[XXXXX387]": 50716,
+  "[XXXXX388]": 51082,
+  "[XXXXX389]": 50177,
+  "[XXXXX38]": 50736,
+  "[XXXXX390]": 50282,
+  "[XXXXX391]": 51183,
+  "[XXXXX392]": 50286,
+  "[XXXXX393]": 50659,
+  "[XXXXX394]": 50378,
+  "[XXXXX395]": 50709,
+  "[XXXXX396]": 50028,
+  "[XXXXX397]": 50235,
+  "[XXXXX398]": 51014,
+  "[XXXXX399]": 50880,
+  "[XXXXX39]": 50305,
+  "[XXXXX3]": 50077,
+  "[XXXXX400]": 50155,
+  "[XXXXX401]": 50710,
+  "[XXXXX402]": 50507,
+  "[XXXXX403]": 50860,
+  "[XXXXX404]": 50661,
+  "[XXXXX405]": 51083,
+  "[XXXXX406]": 50888,
+  "[XXXXX407]": 50069,
+  "[XXXXX408]": 50691,
+  "[XXXXX409]": 51055,
+  "[XXXXX40]": 50337,
+  "[XXXXX410]": 50137,
+  "[XXXXX411]": 50791,
+  "[XXXXX412]": 50136,
+  "[XXXXX413]": 50730,
+  "[XXXXX414]": 50267,
+  "[XXXXX415]": 50012,
+  "[XXXXX416]": 50681,
+  "[XXXXX417]": 50942,
+  "[XXXXX418]": 50720,
+  "[XXXXX419]": 50844,
+  "[XXXXX41]": 50387,
+  "[XXXXX420]": 50111,
+  "[XXXXX421]": 51003,
+  "[XXXXX422]": 50785,
+  "[XXXXX423]": 50149,
+  "[XXXXX424]": 50422,
+  "[XXXXX425]": 51086,
+  "[XXXXX426]": 50862,
+  "[XXXXX427]": 50576,
+  "[XXXXX428]": 51049,
+  "[XXXXX429]": 50630,
+  "[XXXXX42]": 50799,
+  "[XXXXX430]": 50289,
+  "[XXXXX431]": 50184,
+  "[XXXXX432]": 50319,
+  "[XXXXX433]": 51116,
+  "[XXXXX434]": 50519,
+  "[XXXXX435]": 50496,
+  "[XXXXX436]": 50517,
+  "[XXXXX437]": 50865,
+  "[XXXXX438]": 50737,
+  "[XXXXX439]": 50356,
+  "[XXXXX43]": 50359,
+  "[XXXXX440]": 50898,
+  "[XXXXX441]": 50113,
+  "[XXXXX442]": 50527,
+  "[XXXXX443]": 50762,
+  "[XXXXX444]": 50540,
+  "[XXXXX445]": 50925,
+  "[XXXXX446]": 50711,
+  "[XXXXX447]": 50143,
+  "[XXXXX448]": 51170,
+  "[XXXXX449]": 50413,
+  "[XXXXX44]": 50097,
+  "[XXXXX450]": 50375,
+  "[XXXXX451]": 50846,
+  "[XXXXX452]": 50217,
+  "[XXXXX453]": 50699,
+  "[XXXXX454]": 50412,
+  "[XXXXX455]": 50418,
+  "[XXXXX456]": 51143,
+  "[XXXXX457]": 51141,
+  "[XXXXX458]": 51157,
+  "[XXXXX459]": 50825,
+  "[XXXXX45]": 50203,
+  "[XXXXX460]": 50194,
+  "[XXXXX461]": 50148,
+  "[XXXXX462]": 50276,
+  "[XXXXX463]": 50271,
+  "[XXXXX464]": 50836,
+  "[XXXXX465]": 50854,
+  "[XXXXX466]": 50164,
+  "[XXXXX467]": 50484,
+  "[XXXXX468]": 51097,
+  "[XXXXX469]": 50182,
+  "[XXXXX46]": 50505,
+  "[XXXXX470]": 50670,
+  "[XXXXX471]": 50595,
+  "[XXXXX472]": 50237,
+  "[XXXXX473]": 50057,
+  "[XXXXX474]": 50431,
+  "[XXXXX475]": 50738,
+  "[XXXXX476]": 51145,
+  "[XXXXX477]": 50247,
+  "[XXXXX478]": 50029,
+  "[XXXXX479]": 50917,
+  "[XXXXX47]": 50579,
+  "[XXXXX480]": 50702,
+  "[XXXXX481]": 50831,
+  "[XXXXX482]": 50753,
+  "[XXXXX483]": 50598,
+  "[XXXXX484]": 51136,
+  "[XXXXX485]": 50092,
+  "[XXXXX486]": 50202,
+  "[XXXXX487]": 50106,
+  "[XXXXX488]": 50924,
+  "[XXXXX489]": 51113,
+  "[XXXXX48]": 50842,
+  "[XXXXX490]": 50761,
+  "[XXXXX491]": 50577,
+  "[XXXXX492]": 50692,
+  "[XXXXX493]": 51130,
+  "[XXXXX494]": 50932,
+  "[XXXXX495]": 50837,
+  "[XXXXX496]": 50893,
+  "[XXXXX497]": 50773,
+  "[XXXXX498]": 50360,
+  "[XXXXX499]": 50900,
+  "[XXXXX49]": 51062,
+  "[XXXXX4]": 50396,
+  "[XXXXX500]": 51034,
+  "[XXXXX501]": 50472,
+  "[XXXXX502]": 50660,
+  "[XXXXX503]": 50815,
+  "[XXXXX504]": 50939,
+  "[XXXXX505]": 50419,
+  "[XXXXX506]": 50324,
+  "[XXXXX507]": 50428,
+  "[XXXXX508]": 50274,
+  "[XXXXX509]": 50311,
+  "[XXXXX50]": 50459,
+  "[XXXXX510]": 50674,
+  "[XXXXX511]": 50580,
+  "[XXXXX512]": 50956,
+  "[XXXXX513]": 50165,
+  "[XXXXX514]": 50320,
+  "[XXXXX515]": 50648,
+  "[XXXXX516]": 50386,
+  "[XXXXX517]": 50058,
+  "[XXXXX518]": 51045,
+  "[XXXXX519]": 50103,
+  "[XXXXX51]": 50979,
+  "[XXXXX520]": 50530,
+  "[XXXXX521]": 50907,
+  "[XXXXX522]": 50260,
+  "[XXXXX523]": 50632,
+  "[XXXXX524]": 50926,
+  "[XXXXX525]": 50687,
+  "[XXXXX526]": 50160,
+  "[XXXXX527]": 51053,
+  "[XXXXX528]": 50652,
+  "[XXXXX529]": 51041,
+  "[XXXXX52]": 50272,
+  "[XXXXX530]": 51111,
+  "[XXXXX531]": 51009,
+  "[XXXXX532]": 51079,
+  "[XXXXX533]": 50487,
+  "[XXXXX534]": 51059,
+  "[XXXXX535]": 50335,
+  "[XXXXX536]": 50380,
+  "[XXXXX537]": 50301,
+  "[XXXXX538]": 51067,
+  "[XXXXX539]": 51052,
+  "[XXXXX53]": 51048,
+  "[XXXXX540]": 50822,
+  "[XXXXX541]": 51040,
+  "[XXXXX542]": 50490,
+  "[XXXXX543]": 50448,
+  "[XXXXX544]": 50812,
+  "[XXXXX545]": 50099,
+  "[XXXXX546]": 51199,
+  "[XXXXX547]": 50226,
+  "[XXXXX548]": 50538,
+  "[XXXXX549]": 50342,
+  "[XXXXX54]": 50701,
+  "[XXXXX550]": 50544,
+  "[XXXXX551]": 50398,
+  "[XXXXX552]": 51102,
+  "[XXXXX553]": 50919,
+  "[XXXXX554]": 50615,
+  "[XXXXX555]": 50769,
+  "[XXXXX556]": 50940,
+  "[XXXXX557]": 50070,
+  "[XXXXX558]": 50680,
+  "[XXXXX559]": 50611,
+  "[XXXXX55]": 50574,
+  "[XXXXX560]": 50381,
+  "[XXXXX561]": 50350,
+  "[XXXXX562]": 50175,
+  "[XXXXX563]": 50584,
+  "[XXXXX564]": 50703,
+  "[XXXXX565]": 50989,
+  "[XXXXX566]": 50877,
+  "[XXXXX567]": 51039,
+  "[XXXXX568]": 51018,
+  "[XXXXX569]": 50452,
+  "[XXXXX56]": 51099,
+  "[XXXXX570]": 50161,
+  "[XXXXX571]": 50921,
+  "[XXXXX572]": 50676,
+  "[XXXXX573]": 50326,
+  "[XXXXX574]": 50987,
+  "[XXXXX575]": 50361,
+  "[XXXXX576]": 50071,
+  "[XXXXX577]": 50803,
+  "[XXXXX578]": 50400,
+  "[XXXXX579]": 51091,
+  "[XXXXX57]": 50501,
+  "[XXXXX580]": 50887,
+  "[XXXXX581]": 50839,
+  "[XXXXX582]": 51138,
+  "[XXXXX583]": 50816,
+  "[XXXXX584]": 50339,
+  "[XXXXX585]": 50463,
+  "[XXXXX586]": 50399,
+  "[XXXXX587]": 51070,
+  "[XXXXX588]": 50457,
+  "[XXXXX589]": 50828,
+  "[XXXXX58]": 50183,
+  "[XXXXX590]": 50080,
+  "[XXXXX591]": 50550,
+  "[XXXXX592]": 50129,
+  "[XXXXX593]": 50273,
+  "[XXXXX594]": 50388,
+  "[XXXXX595]": 50491,
+  "[XXXXX596]": 50278,
+  "[XXXXX597]": 50011,
+  "[XXXXX598]": 50254,
+  "[XXXXX599]": 50302,
+  "[XXXXX59]": 50353,
+  "[XXXXX5]": 50010,
+  "[XXXXX600]": 50704,
+  "[XXXXX601]": 51118,
+  "[XXXXX602]": 50049,
+  "[XXXXX603]": 51190,
+  "[XXXXX604]": 51142,
+  "[XXXXX605]": 50707,
+  "[XXXXX606]": 50937,
+  "[XXXXX607]": 50875,
+  "[XXXXX608]": 50564,
+  "[XXXXX609]": 50345,
+  "[XXXXX60]": 50713,
+  "[XXXXX610]": 50949,
+  "[XXXXX611]": 50978,
+  "[XXXXX612]": 50330,
+  "[XXXXX613]": 51035,
+  "[XXXXX614]": 50402,
+  "[XXXXX615]": 50176,
+  "[XXXXX616]": 51133,
+  "[XXXXX617]": 50222,
+  "[XXXXX618]": 50118,
+  "[XXXXX619]": 50196,
+  "[XXXXX61]": 50298,
+  "[XXXXX620]": 50668,
+  "[XXXXX621]": 50462,
+  "[XXXXX622]": 50218,
+  "[XXXXX623]": 51101,
+  "[XXXXX624]": 50362,
+  "[XXXXX625]": 50779,
+  "[XXXXX626]": 50513,
+  "[XXXXX627]": 50746,
+  "[XXXXX628]": 50141,
+  "[XXXXX629]": 50479,
+  "[XXXXX62]": 50056,
+  "[XXXXX630]": 51180,
+  "[XXXXX631]": 50872,
+  "[XXXXX632]": 50315,
+  "[XXXXX633]": 50397,
+  "[XXXXX634]": 51165,
+  "[XXXXX635]": 50046,
+  "[XXXXX636]": 50795,
+  "[XXXXX637]": 50959,
+  "[XXXXX638]": 50786,
+  "[XXXXX639]": 50240,
+  "[XXXXX63]": 51061,
+  "[XXXXX640]": 50601,
+  "[XXXXX641]": 50904,
+  "[XXXXX642]": 50376,
+  "[XXXXX643]": 50663,
+  "[XXXXX644]": 50613,
+  "[XXXXX645]": 50467,
+  "[XXXXX646]": 50546,
+  "[XXXXX647]": 50465,
+  "[XXXXX648]": 50395,
+  "[XXXXX649]": 50287,
+  "[XXXXX64]": 51162,
+  "[XXXXX650]": 50474,
+  "[XXXXX651]": 50727,
+  "[XXXXX652]": 50243,
+  "[XXXXX653]": 51100,
+  "[XXXXX654]": 50705,
+  "[XXXXX655]": 51012,
+  "[XXXXX656]": 50447,
+  "[XXXXX657]": 50719,
+  "[XXXXX658]": 50712,
+  "[XXXXX659]": 50476,
+  "[XXXXX65]": 50587,
+  "[XXXXX660]": 51054,
+  "[XXXXX661]": 51166,
+  "[XXXXX662]": 50494,
+  "[XXXXX663]": 50230,
+  "[XXXXX664]": 50621,
+  "[XXXXX665]": 50809,
+  "[XXXXX666]": 50265,
+  "[XXXXX667]": 50645,
+  "[XXXXX668]": 50817,
+  "[XXXXX669]": 50030,
+  "[XXXXX66]": 51029,
+  "[XXXXX670]": 51004,
+  "[XXXXX671]": 50685,
+  "[XXXXX672]": 50625,
+  "[XXXXX673]": 50890,
+  "[XXXXX674]": 50383,
+  "[XXXXX675]": 50929,
+  "[XXXXX676]": 50116,
+  "[XXXXX677]": 51072,
+  "[XXXXX678]": 51126,
+  "[XXXXX679]": 50755,
+  "[XXXXX67]": 50717,
+  "[XXXXX680]": 50303,
+  "[XXXXX681]": 50504,
+  "[XXXXX682]": 51075,
+  "[XXXXX683]": 50261,
+  "[XXXXX684]": 50861,
+  "[XXXXX685]": 50306,
+  "[XXXXX686]": 50016,
+  "[XXXXX687]": 50101,
+  "[XXXXX688]": 51098,
+  "[XXXXX689]": 50827,
+  "[XXXXX68]": 50863,
+  "[XXXXX690]": 50640,
+  "[XXXXX691]": 50031,
+  "[XXXXX692]": 50768,
+  "[XXXXX693]": 50013,
+  "[XXXXX694]": 51032,
+  "[XXXXX695]": 50166,
+  "[XXXXX696]": 50127,
+  "[XXXXX697]": 50414,
+  "[XXXXX698]": 50742,
+  "[XXXXX699]": 51042,
+  "[XXXXX69]": 51112,
+  "[XXXXX6]": 50593,
+  "[XXXXX700]": 50292,
+  "[XXXXX701]": 50174,
+  "[XXXXX702]": 50547,
+  "[XXXXX703]": 50498,
+  "[XXXXX704]": 51078,
+  "[XXXXX705]": 50133,
+  "[XXXXX706]": 50041,
+  "[XXXXX707]": 51181,
+  "[XXXXX708]": 50585,
+  "[XXXXX709]": 50776,
+  "[XXXXX70]": 50053,
+  "[XXXXX710]": 50336,
+  "[XXXXX711]": 50765,
+  "[XXXXX712]": 50224,
+  "[XXXXX713]": 50599,
+  "[XXXXX714]": 50207,
+  "[XXXXX715]": 51043,
+  "[XXXXX716]": 51090,
+  "[XXXXX717]": 50006,
+  "[XXXXX718]": 50901,
+  "[XXXXX719]": 51001,
+  "[XXXXX71]": 50954,
+  "[XXXXX720]": 50646,
+  "[XXXXX721]": 50075,
+  "[XXXXX722]": 51120,
+  "[XXXXX723]": 50215,
+  "[XXXXX724]": 50415,
+  "[XXXXX725]": 50154,
+  "[XXXXX726]": 50935,
+  "[XXXXX727]": 50545,
+  "[XXXXX728]": 51085,
+  "[XXXXX729]": 50256,
+  "[XXXXX72]": 50363,
+  "[XXXXX730]": 50700,
+  "[XXXXX731]": 50262,
+  "[XXXXX732]": 50930,
+  "[XXXXX733]": 50333,
+  "[XXXXX734]": 50884,
+  "[XXXXX735]": 51030,
+  "[XXXXX736]": 50231,
+  "[XXXXX737]": 50405,
+  "[XXXXX738]": 50962,
+  "[XXXXX739]": 50458,
+  "[XXXXX73]": 50019,
+  "[XXXXX740]": 50878,
+  "[XXXXX741]": 50910,
+  "[XXXXX742]": 50170,
+  "[XXXXX743]": 50718,
+  "[XXXXX744]": 50616,
+  "[XXXXX745]": 50358,
+  "[XXXXX746]": 50152,
+  "[XXXXX747]": 50525,
+  "[XXXXX748]": 51167,
+  "[XXXXX749]": 50653,
+  "[XXXXX74]": 50952,
+  "[XXXXX750]": 50500,
+  "[XXXXX751]": 50446,
+  "[XXXXX752]": 50995,
+  "[XXXXX753]": 50945,
+  "[XXXXX754]": 51173,
+  "[XXXXX755]": 50823,
+  "[XXXXX756]": 51060,
+  "[XXXXX757]": 50748,
+  "[XXXXX758]": 50020,
+  "[XXXXX759]": 50197,
+  "[XXXXX75]": 50502,
+  "[XXXXX760]": 50291,
+  "[XXXXX761]": 50821,
+  "[XXXXX762]": 50190,
+  "[XXXXX763]": 50745,
+  "[XXXXX764]": 50778,
+  "[XXXXX765]": 50556,
+  "[XXXXX766]": 51161,
+  "[XXXXX767]": 50466,
+  "[XXXXX768]": 50792,
+  "[XXXXX769]": 50208,
+  "[XXXXX76]": 50169,
+  "[XXXXX770]": 50647,
+  "[XXXXX771]": 50610,
+  "[XXXXX772]": 51140,
+  "[XXXXX773]": 50441,
+  "[XXXXX774]": 50870,
+  "[XXXXX775]": 50368,
+  "[XXXXX776]": 50026,
+  "[XXXXX777]": 50677,
+  "[XXXXX778]": 51168,
+  "[XXXXX779]": 50481,
+  "[XXXXX77]": 50515,
+  "[XXXXX780]": 50225,
+  "[XXXXX781]": 50408,
+  "[XXXXX782]": 50090,
+  "[XXXXX783]": 50951,
+  "[XXXXX784]": 50015,
+  "[XXXXX785]": 50658,
+  "[XXXXX786]": 50617,
+  "[XXXXX787]": 50721,
+  "[XXXXX788]": 51084,
+  "[XXXXX789]": 50830,
+  "[XXXXX78]": 50100,
+  "[XXXXX790]": 50606,
+  "[XXXXX791]": 50124,
+  "[XXXXX792]": 50078,
+  "[XXXXX793]": 51188,
+  "[XXXXX794]": 50750,
+  "[XXXXX795]": 50138,
+  "[XXXXX796]": 50239,
+  "[XXXXX797]": 50385,
+  "[XXXXX798]": 50780,
+  "[XXXXX799]": 50683,
+  "[XXXXX79]": 50436,
+  "[XXXXX7]": 50211,
+  "[XXXXX800]": 51185,
+  "[XXXXX801]": 50250,
+  "[XXXXX802]": 50456,
+  "[XXXXX803]": 50508,
+  "[XXXXX804]": 51194,
+  "[XXXXX805]": 50021,
+  "[XXXXX806]": 50307,
+  "[XXXXX807]": 50199,
+  "[XXXXX808]": 51129,
+  "[XXXXX809]": 50686,
+  "[XXXXX80]": 50370,
+  "[XXXXX810]": 50343,
+  "[XXXXX811]": 50614,
+  "[XXXXX812]": 50636,
+  "[XXXXX813]": 51198,
+  "[XXXXX814]": 50788,
+  "[XXXXX815]": 50120,
+  "[XXXXX816]": 50135,
+  "[XXXXX817]": 50293,
+  "[XXXXX818]": 50153,
+  "[XXXXX819]": 50516,
+  "[XXXXX81]": 50581,
+  "[XXXXX820]": 50586,
+  "[XXXXX821]": 50509,
+  "[XXXXX822]": 50220,
+  "[XXXXX823]": 51068,
+  "[XXXXX824]": 50946,
+  "[XXXXX825]": 50965,
+  "[XXXXX826]": 50032,
+  "[XXXXX827]": 50156,
+  "[XXXXX828]": 50449,
+  "[XXXXX829]": 50531,
+  "[XXXXX82]": 51164,
+  "[XXXXX830]": 50486,
+  "[XXXXX831]": 50357,
+  "[XXXXX832]": 51022,
+  "[XXXXX833]": 50633,
+  "[XXXXX834]": 50754,
+  "[XXXXX835]": 51134,
+  "[XXXXX836]": 50193,
+  "[XXXXX837]": 51088,
+  "[XXXXX838]": 50722,
+  "[XXXXX839]": 50756,
+  "[XXXXX83]": 50977,
+  "[XXXXX840]": 50022,
+  "[XXXXX841]": 51186,
+  "[XXXXX842]": 50575,
+  "[XXXXX843]": 50079,
+  "[XXXXX844]": 50644,
+  "[XXXXX845]": 51033,
+  "[XXXXX846]": 50454,
+  "[XXXXX847]": 50095,
+  "[XXXXX848]": 50902,
+  "[XXXXX849]": 50597,
+  "[XXXXX84]": 50167,
+  "[XXXXX850]": 51051,
+  "[XXXXX851]": 50696,
+  "[XXXXX852]": 50966,
+  "[XXXXX853]": 50034,
+  "[XXXXX854]": 50889,
+  "[XXXXX855]": 50843,
+  "[XXXXX856]": 50963,
+  "[XXXXX857]": 50227,
+  "[XXXXX858]": 51058,
+  "[XXXXX859]": 50850,
+  "[XXXXX85]": 50192,
+  "[XXXXX860]": 50228,
+  "[XXXXX861]": 50570,
+  "[XXXXX862]": 50488,
+  "[XXXXX863]": 50539,
+  "[XXXXX864]": 51182,
+  "[XXXXX865]": 50990,
+  "[XXXXX866]": 50542,
+  "[XXXXX867]": 51069,
+  "[XXXXX868]": 50480,
+  "[XXXXX869]": 50847,
+  "[XXXXX86]": 50874,
+  "[XXXXX870]": 50308,
+  "[XXXXX871]": 50510,
+  "[XXXXX872]": 50423,
+  "[XXXXX873]": 50086,
+  "[XXXXX874]": 50591,
+  "[XXXXX875]": 50728,
+  "[XXXXX876]": 50372,
+  "[XXXXX877]": 50903,
+  "[XXXXX878]": 50868,
+  "[XXXXX879]": 50763,
+  "[XXXXX87]": 50571,
+  "[XXXXX880]": 50096,
+  "[XXXXX881]": 51150,
+  "[XXXXX882]": 50460,
+  "[XXXXX883]": 51087,
+  "[XXXXX884]": 51093,
+  "[XXXXX885]": 50295,
+  "[XXXXX886]": 51037,
+  "[XXXXX887]": 51171,
+  "[XXXXX888]": 50794,
+  "[XXXXX889]": 50628,
+  "[XXXXX88]": 50520,
+  "[XXXXX890]": 51172,
+  "[XXXXX891]": 51046,
+  "[XXXXX892]": 50918,
+  "[XXXXX893]": 50998,
+  "[XXXXX894]": 50371,
+  "[XXXXX895]": 51155,
+  "[XXXXX896]": 50866,
+  "[XXXXX897]": 50229,
+  "[XXXXX898]": 51057,
+  "[XXXXX899]": 50867,
+  "[XXXXX89]": 50537,
+  "[XXXXX8]": 50784,
+  "[XXXXX900]": 50739,
+  "[XXXXX901]": 51080,
+  "[XXXXX902]": 50038,
+  "[XXXXX903]": 50321,
+  "[XXXXX904]": 50774,
+  "[XXXXX905]": 50974,
+  "[XXXXX906]": 50920,
+  "[XXXXX907]": 50469,
+  "[XXXXX908]": 51122,
+  "[XXXXX909]": 51092,
+  "[XXXXX90]": 50514,
+  "[XXXXX910]": 50798,
+  "[XXXXX911]": 50245,
+  "[XXXXX912]": 50367,
+  "[XXXXX913]": 50618,
+  "[XXXXX914]": 50072,
+  "[XXXXX915]": 50450,
+  "[XXXXX916]": 51189,
+  "[XXXXX917]": 50485,
+  "[XXXXX918]": 50283,
+  "[XXXXX919]": 50845,
+  "[XXXXX91]": 50968,
+  "[XXXXX920]": 50429,
+  "[XXXXX921]": 50364,
+  "[XXXXX922]": 50782,
+  "[XXXXX923]": 50534,
+  "[XXXXX924]": 50059,
+  "[XXXXX925]": 50102,
+  "[XXXXX926]": 50185,
+  "[XXXXX927]": 50634,
+  "[XXXXX928]": 50567,
+  "[XXXXX929]": 50895,
+  "[XXXXX92]": 50210,
+  "[XXXXX930]": 50561,
+  "[XXXXX931]": 51021,
+  "[XXXXX932]": 50107,
+  "[XXXXX933]": 50407,
+  "[XXXXX934]": 50654,
+  "[XXXXX935]": 50268,
+  "[XXXXX936]": 51153,
+  "[XXXXX937]": 50552,
+  "[XXXXX938]": 50526,
+  "[XXXXX939]": 50322,
+  "[XXXXX93]": 50912,
+  "[XXXXX940]": 50296,
+  "[XXXXX941]": 50572,
+  "[XXXXX942]": 50393,
+  "[XXXXX943]": 50312,
+  "[XXXXX944]": 50592,
+  "[XXXXX945]": 50982,
+  "[XXXXX946]": 50089,
+  "[XXXXX947]": 50331,
+  "[XXXXX948]": 50279,
+  "[XXXXX949]": 51005,
+  "[XXXXX94]": 50198,
+  "[XXXXX950]": 50114,
+  "[XXXXX951]": 50074,
+  "[XXXXX952]": 50248,
+  "[XXXXX953]": 50857,
+  "[XXXXX954]": 50841,
+  "[XXXXX955]": 51065,
+  "[XXXXX956]": 50234,
+  "[XXXXX957]": 50834,
+  "[XXXXX958]": 50535,
+  "[XXXXX959]": 51109,
+  "[XXXXX95]": 50651,
+  "[XXXXX960]": 50797,
+  "[XXXXX961]": 50914,
+  "[XXXXX962]": 50112,
+  "[XXXXX963]": 50073,
+  "[XXXXX964]": 50559,
+  "[XXXXX965]": 50933,
+  "[XXXXX966]": 50619,
+  "[XXXXX967]": 51187,
+  "[XXXXX968]": 50327,
+  "[XXXXX969]": 50698,
+  "[XXXXX96]": 50420,
+  "[XXXXX970]": 50060,
+  "[XXXXX971]": 50432,
+  "[XXXXX972]": 50620,
+  "[XXXXX973]": 50693,
+  "[XXXXX974]": 50938,
+  "[XXXXX975]": 50983,
+  "[XXXXX976]": 50334,
+  "[XXXXX977]": 50438,
+  "[XXXXX978]": 51154,
+  "[XXXXX979]": 50964,
+  "[XXXXX97]": 50672,
+  "[XXXXX980]": 50511,
+  "[XXXXX981]": 50244,
+  "[XXXXX982]": 50266,
+  "[XXXXX983]": 50134,
+  "[XXXXX984]": 50338,
+  "[XXXXX985]": 51121,
+  "[XXXXX986]": 50323,
+  "[XXXXX987]": 50909,
+  "[XXXXX988]": 51000,
+  "[XXXXX989]": 50036,
+  "[XXXXX98]": 50787,
+  "[XXXXX990]": 50512,
+  "[XXXXX991]": 50191,
+  "[XXXXX992]": 50187,
+  "[XXXXX993]": 51156,
+  "[XXXXX994]": 51135,
+  "[XXXXX995]": 50355,
+  "[XXXXX996]": 51027,
+  "[XXXXX997]": 50297,
+  "[XXXXX998]": 50928,
+  "[XXXXX999]": 50697,
+  "[XXXXX99]": 50980,
+  "[XXXXX9]": 50961
+}
diff --git a/checkpoint-12060/config.json b/checkpoint-12060/config.json
new file mode 100644
index 0000000..000c292
--- /dev/null
+++ b/checkpoint-12060/config.json
@@ -0,0 +1,34 @@
+{
+  "activation_function": "gelu",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50000,
+  "dtype": "bfloat16",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50001,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 512,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": 3072,
+  "n_layer": 12,
+  "n_positions": 512,
+  "pad_token_id": 50002,
+  "prefix": "[CLS]",
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "vocab_size": 51200
+}
diff --git a/checkpoint-12060/generation_config.json b/checkpoint-12060/generation_config.json
new file mode 100644
index 0000000..4c122f0
--- /dev/null
+++ b/checkpoint-12060/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50000,
+  "eos_token_id": [
+    50001
+  ],
+  "pad_token_id": 50002,
+  "transformers_version": "4.56.2"
+}
diff --git a/checkpoint-12060/model.safetensors b/checkpoint-12060/model.safetensors
new file mode 100644
index 0000000..9c42649
--- /dev/null
+++ b/checkpoint-12060/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d44647bb528c0843ab0ea43055e036a60879177e1513eb4496036ceaac91b560
+size 249556672
diff --git a/checkpoint-12060/rng_state.pth b/checkpoint-12060/rng_state.pth
new file mode 100644
index 0000000..2136866
--- /dev/null
+++ b/checkpoint-12060/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b733e9d6db6ea9eb294c995e0746462b3ff0aff66eb66f1ac020eaa5fdb87cd6
+size 14645
diff --git a/checkpoint-12060/special_tokens_map.json b/checkpoint-12060/special_tokens_map.json
new file mode 100644
index 0000000..c78a835
--- /dev/null
+++ b/checkpoint-12060/special_tokens_map.json
@@ -0,0 +1,1249 @@
+{
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/checkpoint-12060/spiece.model b/checkpoint-12060/spiece.model
new file mode 100644
index 0000000..85d6e93
--- /dev/null
+++ b/checkpoint-12060/spiece.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:762a1e078899c6ba7ef62ef873a57b860c51cc0518791854659b58b4c89742fe
+size 1170764
diff --git a/checkpoint-12060/tokenizer_config.json b/checkpoint-12060/tokenizer_config.json
new file mode 100644
index 0000000..b27d01f
--- /dev/null
+++ b/checkpoint-12060/tokenizer_config.json
@@ -0,0 +1,10825 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50000": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50001": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50002": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50003": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50004": {
+      "content": "[XXXXX160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50005": {
+      "content": "[XXXXX240]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50006": {
+      "content": "[XXXXX717]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50007": {
+      "content": "[XXXXX23]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50008": {
+      "content": "[XXXXX161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50009": {
+      "content": "[XXXXX1156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50010": {
+      "content": "[XXXXX5]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50011": {
+      "content": "[XXXXX597]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50012": {
+      "content": "[XXXXX415]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50013": {
+      "content": "[XXXXX693]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50014": {
+      "content": "[XXXXX1083]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50015": {
+      "content": "[XXXXX784]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50016": {
+      "content": "[XXXXX686]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50017": {
+      "content": "[XXXXX379]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50018": {
+      "content": "[XXXXX335]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50019": {
+      "content": "[XXXXX73]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50020": {
+      "content": "[XXXXX758]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50021": {
+      "content": "[XXXXX805]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50022": {
+      "content": "[XXXXX840]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50023": {
+      "content": "[XXXXX1037]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50024": {
+      "content": "[XXXXX235]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50025": {
+      "content": "[XXXXX1107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50026": {
+      "content": "[XXXXX776]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50027": {
+      "content": "[XXXXX286]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50028": {
+      "content": "[XXXXX396]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50029": {
+      "content": "[XXXXX478]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50030": {
+      "content": "[XXXXX669]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50031": {
+      "content": "[XXXXX691]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50032": {
+      "content": "[XXXXX826]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50033": {
+      "content": "[XXXXX1150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50034": {
+      "content": "[XXXXX853]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50035": {
+      "content": "[XXXXX130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50036": {
+      "content": "[XXXXX989]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50037": {
+      "content": "[XXXXX249]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50038": {
+      "content": "[XXXXX902]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50039": {
+      "content": "[XXXXX1169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50040": {
+      "content": "[XXXXX260]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50041": {
+      "content": "[XXXXX706]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50042": {
+      "content": "[XXXXX146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50043": {
+      "content": "[XXXXX198]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50044": {
+      "content": "[XXXXX303]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50045": {
+      "content": "[XXXXX1192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50046": {
+      "content": "[XXXXX635]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50047": {
+      "content": "[XXXXX271]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50048": {
+      "content": "[XXXXX1023]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50049": {
+      "content": "[XXXXX602]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50050": {
+      "content": "[XXXXX291]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50051": {
+      "content": "[XXXXX190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50052": {
+      "content": "[XXXXX1055]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50053": {
+      "content": "[XXXXX70]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50054": {
+      "content": "[XXXXX178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50055": {
+      "content": "[XXXXX318]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50056": {
+      "content": "[XXXXX62]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50057": {
+      "content": "[XXXXX473]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50058": {
+      "content": "[XXXXX517]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50059": {
+      "content": "[XXXXX924]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50060": {
+      "content": "[XXXXX970]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50061": {
+      "content": "[XXXXX1033]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50062": {
+      "content": "[XXXXX110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50063": {
+      "content": "[XXXXX1151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50064": {
+      "content": "[XXXXX1189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50065": {
+      "content": "[XXXXX1095]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50066": {
+      "content": "[XXXXX148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50067": {
+      "content": "[XXXXX337]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50068": {
+      "content": "[XXXXX245]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50069": {
+      "content": "[XXXXX407]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50070": {
+      "content": "[XXXXX557]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50071": {
+      "content": "[XXXXX576]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50072": {
+      "content": "[XXXXX914]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50073": {
+      "content": "[XXXXX963]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50074": {
+      "content": "[XXXXX951]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50075": {
+      "content": "[XXXXX721]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50076": {
+      "content": "[XXXXX1174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50077": {
+      "content": "[XXXXX3]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50078": {
+      "content": "[XXXXX792]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50079": {
+      "content": "[XXXXX843]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50080": {
+      "content": "[XXXXX590]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50081": {
+      "content": "[XXXXX118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50082": {
+      "content": "[XXXXX280]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50083": {
+      "content": "[XXXXX1119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50084": {
+      "content": "[XXXXX1025]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50085": {
+      "content": "[XXXXX140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50086": {
+      "content": "[XXXXX873]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50087": {
+      "content": "[XXXXX103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50088": {
+      "content": "[XXXXX307]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50089": {
+      "content": "[XXXXX946]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50090": {
+      "content": "[XXXXX782]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50091": {
+      "content": "[XXXXX100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50092": {
+      "content": "[XXXXX485]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50093": {
+      "content": "[XXXXX151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50094": {
+      "content": "[XXXXX213]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50095": {
+      "content": "[XXXXX847]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50096": {
+      "content": "[XXXXX880]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50097": {
+      "content": "[XXXXX44]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50098": {
+      "content": "[XXXXX1031]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50099": {
+      "content": "[XXXXX545]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50100": {
+      "content": "[XXXXX78]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50101": {
+      "content": "[XXXXX687]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50102": {
+      "content": "[XXXXX925]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50103": {
+      "content": "[XXXXX519]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50104": {
+      "content": "[XXXXX1191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50105": {
+      "content": "[XXXXX13]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50106": {
+      "content": "[XXXXX487]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50107": {
+      "content": "[XXXXX932]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50108": {
+      "content": "[XXXXX119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50109": {
+      "content": "[XXXXX170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50110": {
+      "content": "[XXXXX254]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50111": {
+      "content": "[XXXXX420]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50112": {
+      "content": "[XXXXX962]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50113": {
+      "content": "[XXXXX441]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50114": {
+      "content": "[XXXXX950]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50115": {
+      "content": "[XXXXX18]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50116": {
+      "content": "[XXXXX676]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50117": {
+      "content": "[XXXXX1133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50118": {
+      "content": "[XXXXX618]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50119": {
+      "content": "[XXXXX374]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50120": {
+      "content": "[XXXXX815]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50121": {
+      "content": "[XXXXX1058]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50122": {
+      "content": "[XXXXX1108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50123": {
+      "content": "[XXXXX1144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50124": {
+      "content": "[XXXXX791]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50125": {
+      "content": "[XXXXX259]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50126": {
+      "content": "[XXXXX1074]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50127": {
+      "content": "[XXXXX696]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50128": {
+      "content": "[XXXXX1168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50129": {
+      "content": "[XXXXX592]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50130": {
+      "content": "[XXXXX127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50131": {
+      "content": "[XXXXX136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50132": {
+      "content": "[XXXXX237]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50133": {
+      "content": "[XXXXX705]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50134": {
+      "content": "[XXXXX983]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50135": {
+      "content": "[XXXXX816]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50136": {
+      "content": "[XXXXX412]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50137": {
+      "content": "[XXXXX410]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50138": {
+      "content": "[XXXXX795]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50139": {
+      "content": "[XXXXX101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50140": {
+      "content": "[XXXXX171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50141": {
+      "content": "[XXXXX628]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50142": {
+      "content": "[XXXXX1038]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50143": {
+      "content": "[XXXXX447]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50144": {
+      "content": "[XXXXX1043]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50145": {
+      "content": "[XXXXX147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50146": {
+      "content": "[XXXXX1112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50147": {
+      "content": "[XXXXX186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50148": {
+      "content": "[XXXXX461]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50149": {
+      "content": "[XXXXX423]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50150": {
+      "content": "[XXXXX26]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50151": {
+      "content": "[XXXXX227]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50152": {
+      "content": "[XXXXX746]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50153": {
+      "content": "[XXXXX818]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50154": {
+      "content": "[XXXXX725]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50155": {
+      "content": "[XXXXX400]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50156": {
+      "content": "[XXXXX827]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50157": {
+      "content": "[XXXXX1020]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50158": {
+      "content": "[XXXXX1060]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50159": {
+      "content": "[XXXXX195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50160": {
+      "content": "[XXXXX526]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50161": {
+      "content": "[XXXXX570]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50162": {
+      "content": "[XXXXX174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50163": {
+      "content": "[XXXXX333]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50164": {
+      "content": "[XXXXX466]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50165": {
+      "content": "[XXXXX513]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50166": {
+      "content": "[XXXXX695]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50167": {
+      "content": "[XXXXX84]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50168": {
+      "content": "[XXXXX1080]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50169": {
+      "content": "[XXXXX76]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50170": {
+      "content": "[XXXXX742]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50171": {
+      "content": "[XXXXX1008]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50172": {
+      "content": "[XXXXX1123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50173": {
+      "content": "[XXXXX1145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50174": {
+      "content": "[XXXXX701]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50175": {
+      "content": "[XXXXX562]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50176": {
+      "content": "[XXXXX615]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50177": {
+      "content": "[XXXXX389]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50178": {
+      "content": "[XXXXX267]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50179": {
+      "content": "[XXXXX323]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50180": {
+      "content": "[XXXXX346]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50181": {
+      "content": "[XXXXX287]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50182": {
+      "content": "[XXXXX469]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50183": {
+      "content": "[XXXXX58]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50184": {
+      "content": "[XXXXX431]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50185": {
+      "content": "[XXXXX926]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50186": {
+      "content": "[XXXXX1182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50187": {
+      "content": "[XXXXX992]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50188": {
+      "content": "[XXXXX185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50189": {
+      "content": "[XXXXX352]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50190": {
+      "content": "[XXXXX762]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50191": {
+      "content": "[XXXXX991]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50192": {
+      "content": "[XXXXX85]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50193": {
+      "content": "[XXXXX836]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50194": {
+      "content": "[XXXXX460]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50195": {
+      "content": "[XXXXX272]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50196": {
+      "content": "[XXXXX619]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50197": {
+      "content": "[XXXXX759]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50198": {
+      "content": "[XXXXX94]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50199": {
+      "content": "[XXXXX807]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50200": {
+      "content": "[XXXXX299]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50201": {
+      "content": "[XXXXX187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50202": {
+      "content": "[XXXXX486]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50203": {
+      "content": "[XXXXX45]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50204": {
+      "content": "[XXXXX1036]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50205": {
+      "content": "[XXXXX354]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50206": {
+      "content": "[XXXXX386]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50207": {
+      "content": "[XXXXX714]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50208": {
+      "content": "[XXXXX769]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50209": {
+      "content": "[XXXXX304]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50210": {
+      "content": "[XXXXX92]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50211": {
+      "content": "[XXXXX7]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50212": {
+      "content": "[XXXXX31]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50213": {
+      "content": "[XXXXX102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50214": {
+      "content": "[XXXXX163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50215": {
+      "content": "[XXXXX723]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50216": {
+      "content": "[XXXXX1042]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50217": {
+      "content": "[XXXXX452]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50218": {
+      "content": "[XXXXX622]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50219": {
+      "content": "[XXXXX1056]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50220": {
+      "content": "[XXXXX822]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50221": {
+      "content": "[XXXXX125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50222": {
+      "content": "[XXXXX617]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50223": {
+      "content": "[XXXXX34]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50224": {
+      "content": "[XXXXX712]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50225": {
+      "content": "[XXXXX780]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50226": {
+      "content": "[XXXXX547]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50227": {
+      "content": "[XXXXX857]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50228": {
+      "content": "[XXXXX860]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50229": {
+      "content": "[XXXXX897]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50230": {
+      "content": "[XXXXX663]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50231": {
+      "content": "[XXXXX736]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50232": {
+      "content": "[XXXXX202]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50233": {
+      "content": "[XXXXX1029]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50234": {
+      "content": "[XXXXX956]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50235": {
+      "content": "[XXXXX397]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50236": {
+      "content": "[XXXXX239]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50237": {
+      "content": "[XXXXX472]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50238": {
+      "content": "[XXXXX230]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50239": {
+      "content": "[XXXXX796]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50240": {
+      "content": "[XXXXX639]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50241": {
+      "content": "[XXXXX203]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50242": {
+      "content": "[XXXXX231]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50243": {
+      "content": "[XXXXX652]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50244": {
+      "content": "[XXXXX981]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50245": {
+      "content": "[XXXXX911]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50246": {
+      "content": "[XXXXX380]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50247": {
+      "content": "[XXXXX477]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50248": {
+      "content": "[XXXXX952]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50249": {
+      "content": "[XXXXX28]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50250": {
+      "content": "[XXXXX801]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50251": {
+      "content": "[XXXXX1134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50252": {
+      "content": "[XXXXX1176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50253": {
+      "content": "[XXXXX180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50254": {
+      "content": "[XXXXX598]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50255": {
+      "content": "[XXXXX365]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50256": {
+      "content": "[XXXXX729]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50257": {
+      "content": "[XXXXX214]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50258": {
+      "content": "[XXXXX1117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50259": {
+      "content": "[XXXXX278]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50260": {
+      "content": "[XXXXX522]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50261": {
+      "content": "[XXXXX683]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50262": {
+      "content": "[XXXXX731]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50263": {
+      "content": "[XXXXX312]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "[XXXXX1178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50265": {
+      "content": "[XXXXX666]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50266": {
+      "content": "[XXXXX982]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50267": {
+      "content": "[XXXXX414]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50268": {
+      "content": "[XXXXX935]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50269": {
+      "content": "[XXXXX1089]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50270": {
+      "content": "[XXXXX236]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50271": {
+      "content": "[XXXXX463]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50272": {
+      "content": "[XXXXX52]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50273": {
+      "content": "[XXXXX593]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50274": {
+      "content": "[XXXXX508]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50275": {
+      "content": "[XXXXX1125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50276": {
+      "content": "[XXXXX462]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50277": {
+      "content": "[XXXXX32]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50278": {
+      "content": "[XXXXX596]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50279": {
+      "content": "[XXXXX948]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50280": {
+      "content": "[XXXXX150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50281": {
+      "content": "[XXXXX322]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50282": {
+      "content": "[XXXXX390]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50283": {
+      "content": "[XXXXX918]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50284": {
+      "content": "[XXXXX157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50285": {
+      "content": "[XXXXX310]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50286": {
+      "content": "[XXXXX392]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50287": {
+      "content": "[XXXXX649]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50288": {
+      "content": "[XXXXX158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50289": {
+      "content": "[XXXXX430]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50290": {
+      "content": "[XXXXX384]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50291": {
+      "content": "[XXXXX760]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50292": {
+      "content": "[XXXXX700]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50293": {
+      "content": "[XXXXX817]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50294": {
+      "content": "[XXXXX115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50295": {
+      "content": "[XXXXX885]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50296": {
+      "content": "[XXXXX940]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50297": {
+      "content": "[XXXXX997]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50298": {
+      "content": "[XXXXX61]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50299": {
+      "content": "[XXXXX209]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50300": {
+      "content": "[XXXXX316]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50301": {
+      "content": "[XXXXX537]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50302": {
+      "content": "[XXXXX599]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50303": {
+      "content": "[XXXXX680]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50304": {
+      "content": "[XXXXX135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50305": {
+      "content": "[XXXXX39]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50306": {
+      "content": "[XXXXX685]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50307": {
+      "content": "[XXXXX806]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50308": {
+      "content": "[XXXXX870]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50309": {
+      "content": "[XXXXX1096]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50310": {
+      "content": "[XXXXX366]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50311": {
+      "content": "[XXXXX509]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50312": {
+      "content": "[XXXXX943]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50313": {
+      "content": "[XXXXX292]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50314": {
+      "content": "[XXXXX367]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50315": {
+      "content": "[XXXXX632]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50316": {
+      "content": "[XXXXX1136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50317": {
+      "content": "[XXXXX156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50318": {
+      "content": "[XXXXX1100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50319": {
+      "content": "[XXXXX432]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50320": {
+      "content": "[XXXXX514]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50321": {
+      "content": "[XXXXX903]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50322": {
+      "content": "[XXXXX939]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50323": {
+      "content": "[XXXXX986]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50324": {
+      "content": "[XXXXX506]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50325": {
+      "content": "[XXXXX10]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50326": {
+      "content": "[XXXXX573]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50327": {
+      "content": "[XXXXX968]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50328": {
+      "content": "[XXXXX1039]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50329": {
+      "content": "[XXXXX252]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50330": {
+      "content": "[XXXXX612]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50331": {
+      "content": "[XXXXX947]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50332": {
+      "content": "[XXXXX1162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50333": {
+      "content": "[XXXXX733]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50334": {
+      "content": "[XXXXX976]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50335": {
+      "content": "[XXXXX535]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50336": {
+      "content": "[XXXXX710]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50337": {
+      "content": "[XXXXX40]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50338": {
+      "content": "[XXXXX984]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50339": {
+      "content": "[XXXXX584]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50340": {
+      "content": "[XXXXX132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50341": {
+      "content": "[XXXXX1084]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50342": {
+      "content": "[XXXXX549]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50343": {
+      "content": "[XXXXX810]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50344": {
+      "content": "[XXXXX208]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50345": {
+      "content": "[XXXXX609]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50346": {
+      "content": "[XXXXX275]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50347": {
+      "content": "[XXXXX262]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50348": {
+      "content": "[XXXXX331]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50349": {
+      "content": "[XXXXX361]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50350": {
+      "content": "[XXXXX561]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50351": {
+      "content": "[XXXXX143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50352": {
+      "content": "[XXXXX1061]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50353": {
+      "content": "[XXXXX59]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50354": {
+      "content": "[XXXXX21]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50355": {
+      "content": "[XXXXX995]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50356": {
+      "content": "[XXXXX439]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50357": {
+      "content": "[XXXXX831]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50358": {
+      "content": "[XXXXX745]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50359": {
+      "content": "[XXXXX43]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50360": {
+      "content": "[XXXXX498]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50361": {
+      "content": "[XXXXX575]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50362": {
+      "content": "[XXXXX624]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50363": {
+      "content": "[XXXXX72]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50364": {
+      "content": "[XXXXX921]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50365": {
+      "content": "[XXXXX201]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50366": {
+      "content": "[XXXXX1171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50367": {
+      "content": "[XXXXX912]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50368": {
+      "content": "[XXXXX775]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50369": {
+      "content": "[XXXXX1094]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50370": {
+      "content": "[XXXXX80]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50371": {
+      "content": "[XXXXX894]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50372": {
+      "content": "[XXXXX876]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50373": {
+      "content": "[XXXXX1143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50374": {
+      "content": "[XXXXX355]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50375": {
+      "content": "[XXXXX450]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50376": {
+      "content": "[XXXXX642]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50377": {
+      "content": "[XXXXX162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50378": {
+      "content": "[XXXXX394]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50379": {
+      "content": "[XXXXX296]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50380": {
+      "content": "[XXXXX536]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50381": {
+      "content": "[XXXXX560]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50382": {
+      "content": "[XXXXX373]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50383": {
+      "content": "[XXXXX674]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50384": {
+      "content": "[XXXXX1099]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50385": {
+      "content": "[XXXXX797]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50386": {
+      "content": "[XXXXX516]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50387": {
+      "content": "[XXXXX41]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50388": {
+      "content": "[XXXXX594]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50389": {
+      "content": "[XXXXX319]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50390": {
+      "content": "[XXXXX165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50391": {
+      "content": "[XXXXX344]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50392": {
+      "content": "[XXXXX1012]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50393": {
+      "content": "[XXXXX942]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50394": {
+      "content": "[XXXXX1071]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50395": {
+      "content": "[XXXXX648]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50396": {
+      "content": "[XXXXX4]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50397": {
+      "content": "[XXXXX633]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50398": {
+      "content": "[XXXXX551]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50399": {
+      "content": "[XXXXX586]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50400": {
+      "content": "[XXXXX578]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50401": {
+      "content": "[XXXXX348]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50402": {
+      "content": "[XXXXX614]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50403": {
+      "content": "[XXXXX33]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50404": {
+      "content": "[XXXXX1193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50405": {
+      "content": "[XXXXX737]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50406": {
+      "content": "[XXXXX233]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50407": {
+      "content": "[XXXXX933]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50408": {
+      "content": "[XXXXX781]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50409": {
+      "content": "[XXXXX189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50410": {
+      "content": "[XXXXX1006]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50411": {
+      "content": "[XXXXX219]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50412": {
+      "content": "[XXXXX454]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50413": {
+      "content": "[XXXXX449]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50414": {
+      "content": "[XXXXX697]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50415": {
+      "content": "[XXXXX724]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50416": {
+      "content": "[XXXXX224]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50417": {
+      "content": "[XXXXX1157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50418": {
+      "content": "[XXXXX455]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50419": {
+      "content": "[XXXXX505]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50420": {
+      "content": "[XXXXX96]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50421": {
+      "content": "[XXXXX182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50422": {
+      "content": "[XXXXX424]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50423": {
+      "content": "[XXXXX872]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50424": {
+      "content": "[XXXXX1163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50425": {
+      "content": "[XXXXX1081]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50426": {
+      "content": "[XXXXX1173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50427": {
+      "content": "[XXXXX172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50428": {
+      "content": "[XXXXX507]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50429": {
+      "content": "[XXXXX920]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50430": {
+      "content": "[XXXXX1126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50431": {
+      "content": "[XXXXX474]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50432": {
+      "content": "[XXXXX971]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50433": {
+      "content": "[XXXXX1049]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50434": {
+      "content": "[XXXXX1114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50435": {
+      "content": "[XXXXX1040]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50436": {
+      "content": "[XXXXX79]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50437": {
+      "content": "[XXXXX36]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50438": {
+      "content": "[XXXXX977]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50439": {
+      "content": "[XXXXX1129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50440": {
+      "content": "[XXXXX1063]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50441": {
+      "content": "[XXXXX773]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50442": {
+      "content": "[XXXXX16]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50443": {
+      "content": "[XXXXX113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50444": {
+      "content": "[XXXXX320]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50445": {
+      "content": "[XXXXX167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50446": {
+      "content": "[XXXXX751]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50447": {
+      "content": "[XXXXX656]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50448": {
+      "content": "[XXXXX543]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50449": {
+      "content": "[XXXXX828]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50450": {
+      "content": "[XXXXX915]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50451": {
+      "content": "[XXXXX1098]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50452": {
+      "content": "[XXXXX569]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50453": {
+      "content": "[XXXXX1166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50454": {
+      "content": "[XXXXX846]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50455": {
+      "content": "[XXXXX324]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50456": {
+      "content": "[XXXXX802]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50457": {
+      "content": "[XXXXX588]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50458": {
+      "content": "[XXXXX739]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50459": {
+      "content": "[XXXXX50]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50460": {
+      "content": "[XXXXX882]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50461": {
+      "content": "[XXXXX1054]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50462": {
+      "content": "[XXXXX621]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50463": {
+      "content": "[XXXXX585]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50464": {
+      "content": "[XXXXX121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50465": {
+      "content": "[XXXXX647]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50466": {
+      "content": "[XXXXX767]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50467": {
+      "content": "[XXXXX645]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50468": {
+      "content": "[XXXXX27]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50469": {
+      "content": "[XXXXX907]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50470": {
+      "content": "[XXXXX1109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50471": {
+      "content": "[XXXXX1147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50472": {
+      "content": "[XXXXX501]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50473": {
+      "content": "[XXXXX1164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50474": {
+      "content": "[XXXXX650]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50475": {
+      "content": "[XXXXX329]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50476": {
+      "content": "[XXXXX659]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50477": {
+      "content": "[XXXXX1158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50478": {
+      "content": "[XXXXX104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50479": {
+      "content": "[XXXXX629]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50480": {
+      "content": "[XXXXX868]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50481": {
+      "content": "[XXXXX779]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50482": {
+      "content": "[XXXXX17]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50483": {
+      "content": "[XXXXX377]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50484": {
+      "content": "[XXXXX467]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50485": {
+      "content": "[XXXXX917]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50486": {
+      "content": "[XXXXX830]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50487": {
+      "content": "[XXXXX533]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50488": {
+      "content": "[XXXXX862]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50489": {
+      "content": "[XXXXX1041]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50490": {
+      "content": "[XXXXX542]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50491": {
+      "content": "[XXXXX595]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50492": {
+      "content": "[XXXXX353]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50493": {
+      "content": "[XXXXX181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50494": {
+      "content": "[XXXXX662]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50495": {
+      "content": "[XXXXX1195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50496": {
+      "content": "[XXXXX435]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50497": {
+      "content": "[XXXXX1051]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50498": {
+      "content": "[XXXXX703]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50499": {
+      "content": "[XXXXX1140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50500": {
+      "content": "[XXXXX750]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50501": {
+      "content": "[XXXXX57]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50502": {
+      "content": "[XXXXX75]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50503": {
+      "content": "[XXXXX293]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50504": {
+      "content": "[XXXXX681]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50505": {
+      "content": "[XXXXX46]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50506": {
+      "content": "[XXXXX30]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50507": {
+      "content": "[XXXXX402]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50508": {
+      "content": "[XXXXX803]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50509": {
+      "content": "[XXXXX821]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50510": {
+      "content": "[XXXXX871]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50511": {
+      "content": "[XXXXX980]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50512": {
+      "content": "[XXXXX990]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50513": {
+      "content": "[XXXXX626]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50514": {
+      "content": "[XXXXX90]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50515": {
+      "content": "[XXXXX77]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50516": {
+      "content": "[XXXXX819]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50517": {
+      "content": "[XXXXX436]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50518": {
+      "content": "[XXXXX306]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50519": {
+      "content": "[XXXXX434]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50520": {
+      "content": "[XXXXX88]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50521": {
+      "content": "[XXXXX184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50522": {
+      "content": "[XXXXX290]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50523": {
+      "content": "[XXXXX216]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50524": {
+      "content": "[XXXXX176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50525": {
+      "content": "[XXXXX747]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50526": {
+      "content": "[XXXXX938]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50527": {
+      "content": "[XXXXX442]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50528": {
+      "content": "[XXXXX301]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50529": {
+      "content": "[XXXXX1015]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50530": {
+      "content": "[XXXXX520]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50531": {
+      "content": "[XXXXX829]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50532": {
+      "content": "[XXXXX106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50533": {
+      "content": "[XXXXX1048]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50534": {
+      "content": "[XXXXX923]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50535": {
+      "content": "[XXXXX958]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50536": {
+      "content": "[XXXXX1130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50537": {
+      "content": "[XXXXX89]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50538": {
+      "content": "[XXXXX548]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50539": {
+      "content": "[XXXXX863]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50540": {
+      "content": "[XXXXX444]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50541": {
+      "content": "[XXXXX1149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50542": {
+      "content": "[XXXXX866]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50543": {
+      "content": "[XXXXX109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50544": {
+      "content": "[XXXXX550]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50545": {
+      "content": "[XXXXX727]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50546": {
+      "content": "[XXXXX646]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50547": {
+      "content": "[XXXXX702]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50548": {
+      "content": "[XXXXX204]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50549": {
+      "content": "[XXXXX1000]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50550": {
+      "content": "[XXXXX591]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50551": {
+      "content": "[XXXXX1128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50552": {
+      "content": "[XXXXX937]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50553": {
+      "content": "[XXXXX141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50554": {
+      "content": "[XXXXX273]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50555": {
+      "content": "[XXXXX1183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50556": {
+      "content": "[XXXXX765]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50557": {
+      "content": "[XXXXX371]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50558": {
+      "content": "[XXXXX256]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50559": {
+      "content": "[XXXXX964]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50560": {
+      "content": "[XXXXX1148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50561": {
+      "content": "[XXXXX930]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50562": {
+      "content": "[XXXXX212]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50563": {
+      "content": "[XXXXX133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50564": {
+      "content": "[XXXXX608]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50565": {
+      "content": "[XXXXX281]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50566": {
+      "content": "[XXXXX1045]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50567": {
+      "content": "[XXXXX928]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50568": {
+      "content": "[XXXXX1154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50569": {
+      "content": "[XXXXX334]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50570": {
+      "content": "[XXXXX861]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50571": {
+      "content": "[XXXXX87]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50572": {
+      "content": "[XXXXX941]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50573": {
+      "content": "[XXXXX359]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50574": {
+      "content": "[XXXXX55]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50575": {
+      "content": "[XXXXX842]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50576": {
+      "content": "[XXXXX427]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50577": {
+      "content": "[XXXXX491]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50578": {
+      "content": "[XXXXX137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50579": {
+      "content": "[XXXXX47]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50580": {
+      "content": "[XXXXX511]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50581": {
+      "content": "[XXXXX81]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50582": {
+      "content": "[XXXXX139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50583": {
+      "content": "[XXXXX226]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50584": {
+      "content": "[XXXXX563]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50585": {
+      "content": "[XXXXX708]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50586": {
+      "content": "[XXXXX820]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50587": {
+      "content": "[XXXXX65]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50588": {
+      "content": "[XXXXX381]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50589": {
+      "content": "[XXXXX22]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50590": {
+      "content": "[XXXXX1064]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50591": {
+      "content": "[XXXXX874]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50592": {
+      "content": "[XXXXX944]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50593": {
+      "content": "[XXXXX6]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50594": {
+      "content": "[XXXXX313]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50595": {
+      "content": "[XXXXX471]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50596": {
+      "content": "[XXXXX1118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50597": {
+      "content": "[XXXXX849]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50598": {
+      "content": "[XXXXX483]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50599": {
+      "content": "[XXXXX713]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50600": {
+      "content": "[XXXXX222]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50601": {
+      "content": "[XXXXX640]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50602": {
+      "content": "[XXXXX12]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50603": {
+      "content": "[XXXXX285]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50604": {
+      "content": "[XXXXX327]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50605": {
+      "content": "[XXXXX378]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50606": {
+      "content": "[XXXXX790]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50607": {
+      "content": "[XXXXX1179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50608": {
+      "content": "[XXXXX15]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50609": {
+      "content": "[XXXXX229]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50610": {
+      "content": "[XXXXX771]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50611": {
+      "content": "[XXXXX559]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50612": {
+      "content": "[XXXXX253]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50613": {
+      "content": "[XXXXX644]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50614": {
+      "content": "[XXXXX811]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50615": {
+      "content": "[XXXXX554]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50616": {
+      "content": "[XXXXX744]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50617": {
+      "content": "[XXXXX786]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50618": {
+      "content": "[XXXXX913]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50619": {
+      "content": "[XXXXX966]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50620": {
+      "content": "[XXXXX972]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50621": {
+      "content": "[XXXXX664]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50622": {
+      "content": "[XXXXX1131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50623": {
+      "content": "[XXXXX1132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50624": {
+      "content": "[XXXXX376]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50625": {
+      "content": "[XXXXX672]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50626": {
+      "content": "[XXXXX1013]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50627": {
+      "content": "[XXXXX328]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50628": {
+      "content": "[XXXXX889]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50629": {
+      "content": "[XXXXX1141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50630": {
+      "content": "[XXXXX429]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50631": {
+      "content": "[XXXXX114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50632": {
+      "content": "[XXXXX523]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50633": {
+      "content": "[XXXXX833]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50634": {
+      "content": "[XXXXX927]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50635": {
+      "content": "[XXXXX297]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50636": {
+      "content": "[XXXXX812]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50637": {
+      "content": "[XXXXX1062]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50638": {
+      "content": "[XXXXX152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50639": {
+      "content": "[XXXXX1010]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50640": {
+      "content": "[XXXXX690]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50641": {
+      "content": "[XXXXX363]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50642": {
+      "content": "[XXXXX1103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50643": {
+      "content": "[XXXXX194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50644": {
+      "content": "[XXXXX844]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50645": {
+      "content": "[XXXXX667]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50646": {
+      "content": "[XXXXX720]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50647": {
+      "content": "[XXXXX770]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50648": {
+      "content": "[XXXXX515]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50649": {
+      "content": "[XXXXX196]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50650": {
+      "content": "[XXXXX283]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50651": {
+      "content": "[XXXXX95]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50652": {
+      "content": "[XXXXX528]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50653": {
+      "content": "[XXXXX749]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50654": {
+      "content": "[XXXXX934]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50655": {
+      "content": "[XXXXX1052]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50656": {
+      "content": "[XXXXX1188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50657": {
+      "content": "[XXXXX1001]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50658": {
+      "content": "[XXXXX785]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50659": {
+      "content": "[XXXXX393]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50660": {
+      "content": "[XXXXX502]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50661": {
+      "content": "[XXXXX404]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50662": {
+      "content": "[XXXXX129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50663": {
+      "content": "[XXXXX643]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50664": {
+      "content": "[XXXXX1086]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50665": {
+      "content": "[XXXXX1104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50666": {
+      "content": "[XXXXX326]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50667": {
+      "content": "[XXXXX330]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50668": {
+      "content": "[XXXXX620]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50669": {
+      "content": "[XXXXX193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50670": {
+      "content": "[XXXXX470]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50671": {
+      "content": "[XXXXX279]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50672": {
+      "content": "[XXXXX97]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50673": {
+      "content": "[XXXXX177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50674": {
+      "content": "[XXXXX510]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50675": {
+      "content": "[XXXXX225]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50676": {
+      "content": "[XXXXX572]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50677": {
+      "content": "[XXXXX777]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50678": {
+      "content": "[XXXXX1135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50679": {
+      "content": "[XXXXX1160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50680": {
+      "content": "[XXXXX558]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50681": {
+      "content": "[XXXXX416]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50682": {
+      "content": "[XXXXX246]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50683": {
+      "content": "[XXXXX799]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50684": {
+      "content": "[XXXXX153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50685": {
+      "content": "[XXXXX671]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50686": {
+      "content": "[XXXXX809]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50687": {
+      "content": "[XXXXX525]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50688": {
+      "content": "[XXXXX1004]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50689": {
+      "content": "[XXXXX1005]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50690": {
+      "content": "[XXXXX1194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50691": {
+      "content": "[XXXXX408]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50692": {
+      "content": "[XXXXX492]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50693": {
+      "content": "[XXXXX973]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50694": {
+      "content": "[XXXXX242]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50695": {
+      "content": "[XXXXX357]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50696": {
+      "content": "[XXXXX851]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50697": {
+      "content": "[XXXXX999]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50698": {
+      "content": "[XXXXX969]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50699": {
+      "content": "[XXXXX453]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50700": {
+      "content": "[XXXXX730]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50701": {
+      "content": "[XXXXX54]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50702": {
+      "content": "[XXXXX480]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50703": {
+      "content": "[XXXXX564]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50704": {
+      "content": "[XXXXX600]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50705": {
+      "content": "[XXXXX654]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50706": {
+      "content": "[XXXXX37]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50707": {
+      "content": "[XXXXX605]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50708": {
+      "content": "[XXXXX164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50709": {
+      "content": "[XXXXX395]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50710": {
+      "content": "[XXXXX401]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50711": {
+      "content": "[XXXXX446]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50712": {
+      "content": "[XXXXX658]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50713": {
+      "content": "[XXXXX60]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50714": {
+      "content": "[XXXXX107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50715": {
+      "content": "[XXXXX131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50716": {
+      "content": "[XXXXX387]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50717": {
+      "content": "[XXXXX67]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50718": {
+      "content": "[XXXXX743]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50719": {
+      "content": "[XXXXX657]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50720": {
+      "content": "[XXXXX418]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50721": {
+      "content": "[XXXXX787]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50722": {
+      "content": "[XXXXX838]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50723": {
+      "content": "[XXXXX298]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50724": {
+      "content": "[XXXXX1007]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50725": {
+      "content": "[XXXXX1027]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50726": {
+      "content": "[XXXXX1078]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50727": {
+      "content": "[XXXXX651]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50728": {
+      "content": "[XXXXX875]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50729": {
+      "content": "[XXXXX258]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50730": {
+      "content": "[XXXXX413]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50731": {
+      "content": "[XXXXX1092]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50732": {
+      "content": "[XXXXX124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50733": {
+      "content": "[XXXXX308]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50734": {
+      "content": "[XXXXX1085]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50735": {
+      "content": "[XXXXX1170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50736": {
+      "content": "[XXXXX38]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50737": {
+      "content": "[XXXXX438]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50738": {
+      "content": "[XXXXX475]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50739": {
+      "content": "[XXXXX900]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50740": {
+      "content": "[XXXXX263]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50741": {
+      "content": "[XXXXX166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50742": {
+      "content": "[XXXXX698]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50743": {
+      "content": "[XXXXX1127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50744": {
+      "content": "[XXXXX1181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50745": {
+      "content": "[XXXXX763]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50746": {
+      "content": "[XXXXX627]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50747": {
+      "content": "[XXXXX250]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50748": {
+      "content": "[XXXXX757]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50749": {
+      "content": "[XXXXX142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50750": {
+      "content": "[XXXXX794]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50751": {
+      "content": "[XXXXX128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50752": {
+      "content": "[XXXXX35]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50753": {
+      "content": "[XXXXX482]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50754": {
+      "content": "[XXXXX834]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50755": {
+      "content": "[XXXXX679]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50756": {
+      "content": "[XXXXX839]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50757": {
+      "content": "[XXXXX138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50758": {
+      "content": "[XXXXX1066]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50759": {
+      "content": "[XXXXX116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50760": {
+      "content": "[XXXXX317]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50761": {
+      "content": "[XXXXX490]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50762": {
+      "content": "[XXXXX443]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50763": {
+      "content": "[XXXXX879]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50764": {
+      "content": "[XXXXX1101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50765": {
+      "content": "[XXXXX711]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50766": {
+      "content": "[XXXXX123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50767": {
+      "content": "[XXXXX1152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50768": {
+      "content": "[XXXXX692]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50769": {
+      "content": "[XXXXX555]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50770": {
+      "content": "[XXXXX266]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50771": {
+      "content": "[XXXXX0]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50772": {
+      "content": "[XXXXX332]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50773": {
+      "content": "[XXXXX497]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50774": {
+      "content": "[XXXXX904]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50775": {
+      "content": "[XXXXX1019]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50776": {
+      "content": "[XXXXX709]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50777": {
+      "content": "[XXXXX351]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50778": {
+      "content": "[XXXXX764]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50779": {
+      "content": "[XXXXX625]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50780": {
+      "content": "[XXXXX798]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50781": {
+      "content": "[XXXXX205]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50782": {
+      "content": "[XXXXX922]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50783": {
+      "content": "[XXXXX1075]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50784": {
+      "content": "[XXXXX8]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50785": {
+      "content": "[XXXXX422]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50786": {
+      "content": "[XXXXX638]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50787": {
+      "content": "[XXXXX98]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50788": {
+      "content": "[XXXXX814]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50789": {
+      "content": "[XXXXX1057]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50790": {
+      "content": "[XXXXX1070]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50791": {
+      "content": "[XXXXX411]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50792": {
+      "content": "[XXXXX768]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50793": {
+      "content": "[XXXXX1165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50794": {
+      "content": "[XXXXX888]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50795": {
+      "content": "[XXXXX636]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50796": {
+      "content": "[XXXXX1047]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50797": {
+      "content": "[XXXXX960]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50798": {
+      "content": "[XXXXX910]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50799": {
+      "content": "[XXXXX42]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50800": {
+      "content": "[XXXXX238]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50801": {
+      "content": "[XXXXX383]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50802": {
+      "content": "[XXXXX1032]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50803": {
+      "content": "[XXXXX577]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50804": {
+      "content": "[XXXXX268]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50805": {
+      "content": "[XXXXX179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50806": {
+      "content": "[XXXXX1076]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50807": {
+      "content": "[XXXXX1167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50808": {
+      "content": "[XXXXX1172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50809": {
+      "content": "[XXXXX665]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50810": {
+      "content": "[XXXXX126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50811": {
+      "content": "[XXXXX347]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50812": {
+      "content": "[XXXXX544]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50813": {
+      "content": "[XXXXX1026]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50814": {
+      "content": "[XXXXX159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50815": {
+      "content": "[XXXXX503]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50816": {
+      "content": "[XXXXX583]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50817": {
+      "content": "[XXXXX668]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50818": {
+      "content": "[XXXXX1115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50819": {
+      "content": "[XXXXX112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50820": {
+      "content": "[XXXXX154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50821": {
+      "content": "[XXXXX761]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50822": {
+      "content": "[XXXXX540]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50823": {
+      "content": "[XXXXX755]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50824": {
+      "content": "[XXXXX255]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50825": {
+      "content": "[XXXXX459]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50826": {
+      "content": "[XXXXX1090]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50827": {
+      "content": "[XXXXX689]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50828": {
+      "content": "[XXXXX589]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50829": {
+      "content": "[XXXXX122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50830": {
+      "content": "[XXXXX789]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50831": {
+      "content": "[XXXXX481]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50832": {
+      "content": "[XXXXX1044]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50833": {
+      "content": "[XXXXX274]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50834": {
+      "content": "[XXXXX957]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50835": {
+      "content": "[XXXXX1121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50836": {
+      "content": "[XXXXX464]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50837": {
+      "content": "[XXXXX495]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50838": {
+      "content": "[XXXXX1097]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50839": {
+      "content": "[XXXXX581]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50840": {
+      "content": "[XXXXX200]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50841": {
+      "content": "[XXXXX954]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50842": {
+      "content": "[XXXXX48]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50843": {
+      "content": "[XXXXX855]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50844": {
+      "content": "[XXXXX419]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50845": {
+      "content": "[XXXXX919]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50846": {
+      "content": "[XXXXX451]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50847": {
+      "content": "[XXXXX869]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50848": {
+      "content": "[XXXXX1082]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50849": {
+      "content": "[XXXXX1185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50850": {
+      "content": "[XXXXX859]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50851": {
+      "content": "[XXXXX1139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50852": {
+      "content": "[XXXXX1072]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50853": {
+      "content": "[XXXXX220]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50854": {
+      "content": "[XXXXX465]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50855": {
+      "content": "[XXXXX1105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50856": {
+      "content": "[XXXXX1093]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50857": {
+      "content": "[XXXXX953]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50858": {
+      "content": "[XXXXX1187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50859": {
+      "content": "[XXXXX311]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50860": {
+      "content": "[XXXXX403]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50861": {
+      "content": "[XXXXX684]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50862": {
+      "content": "[XXXXX426]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50863": {
+      "content": "[XXXXX68]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50864": {
+      "content": "[XXXXX277]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50865": {
+      "content": "[XXXXX437]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50866": {
+      "content": "[XXXXX896]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50867": {
+      "content": "[XXXXX899]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50868": {
+      "content": "[XXXXX878]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50869": {
+      "content": "[XXXXX1073]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50870": {
+      "content": "[XXXXX774]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50871": {
+      "content": "[XXXXX315]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50872": {
+      "content": "[XXXXX631]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50873": {
+      "content": "[XXXXX223]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50874": {
+      "content": "[XXXXX86]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50875": {
+      "content": "[XXXXX607]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50876": {
+      "content": "[XXXXX149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50877": {
+      "content": "[XXXXX566]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50878": {
+      "content": "[XXXXX740]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50879": {
+      "content": "[XXXXX265]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50880": {
+      "content": "[XXXXX399]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50881": {
+      "content": "[XXXXX1053]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50882": {
+      "content": "[XXXXX1077]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50883": {
+      "content": "[XXXXX336]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50884": {
+      "content": "[XXXXX734]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50885": {
+      "content": "[XXXXX289]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50886": {
+      "content": "[XXXXX221]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50887": {
+      "content": "[XXXXX580]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50888": {
+      "content": "[XXXXX406]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50889": {
+      "content": "[XXXXX854]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50890": {
+      "content": "[XXXXX673]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50891": {
+      "content": "[XXXXX1146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50892": {
+      "content": "[XXXXX29]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50893": {
+      "content": "[XXXXX496]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50894": {
+      "content": "[XXXXX241]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50895": {
+      "content": "[XXXXX929]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50896": {
+      "content": "[XXXXX169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50897": {
+      "content": "[XXXXX1153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50898": {
+      "content": "[XXXXX440]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50899": {
+      "content": "[XXXXX385]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50900": {
+      "content": "[XXXXX499]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50901": {
+      "content": "[XXXXX718]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50902": {
+      "content": "[XXXXX848]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50903": {
+      "content": "[XXXXX877]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50904": {
+      "content": "[XXXXX641]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50905": {
+      "content": "[XXXXX1137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50906": {
+      "content": "[XXXXX269]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50907": {
+      "content": "[XXXXX521]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50908": {
+      "content": "[XXXXX234]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50909": {
+      "content": "[XXXXX987]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50910": {
+      "content": "[XXXXX741]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50911": {
+      "content": "[XXXXX349]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50912": {
+      "content": "[XXXXX93]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50913": {
+      "content": "[XXXXX247]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50914": {
+      "content": "[XXXXX961]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50915": {
+      "content": "[XXXXX1120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50916": {
+      "content": "[XXXXX369]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50917": {
+      "content": "[XXXXX479]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50918": {
+      "content": "[XXXXX892]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50919": {
+      "content": "[XXXXX553]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50920": {
+      "content": "[XXXXX906]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50921": {
+      "content": "[XXXXX571]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50922": {
+      "content": "[XXXXX1046]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50923": {
+      "content": "[XXXXX206]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50924": {
+      "content": "[XXXXX488]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50925": {
+      "content": "[XXXXX445]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50926": {
+      "content": "[XXXXX524]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50927": {
+      "content": "[XXXXX228]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50928": {
+      "content": "[XXXXX998]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50929": {
+      "content": "[XXXXX675]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50930": {
+      "content": "[XXXXX732]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50931": {
+      "content": "[XXXXX1028]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50932": {
+      "content": "[XXXXX494]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50933": {
+      "content": "[XXXXX965]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50934": {
+      "content": "[XXXXX1021]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50935": {
+      "content": "[XXXXX726]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50936": {
+      "content": "[XXXXX168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50937": {
+      "content": "[XXXXX606]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50938": {
+      "content": "[XXXXX974]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50939": {
+      "content": "[XXXXX504]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50940": {
+      "content": "[XXXXX556]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50941": {
+      "content": "[XXXXX1159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50942": {
+      "content": "[XXXXX417]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50943": {
+      "content": "[XXXXX1175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50944": {
+      "content": "[XXXXX1142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50945": {
+      "content": "[XXXXX753]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50946": {
+      "content": "[XXXXX824]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50947": {
+      "content": "[XXXXX251]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50948": {
+      "content": "[XXXXX345]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50949": {
+      "content": "[XXXXX610]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50950": {
+      "content": "[XXXXX276]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50951": {
+      "content": "[XXXXX783]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50952": {
+      "content": "[XXXXX74]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50953": {
+      "content": "[XXXXX1050]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50954": {
+      "content": "[XXXXX71]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50955": {
+      "content": "[XXXXX360]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50956": {
+      "content": "[XXXXX512]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50957": {
+      "content": "[XXXXX341]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50958": {
+      "content": "[XXXXX375]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50959": {
+      "content": "[XXXXX637]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50960": {
+      "content": "[XXXXX1116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50961": {
+      "content": "[XXXXX9]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50962": {
+      "content": "[XXXXX738]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50963": {
+      "content": "[XXXXX856]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50964": {
+      "content": "[XXXXX979]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50965": {
+      "content": "[XXXXX825]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50966": {
+      "content": "[XXXXX852]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50967": {
+      "content": "[XXXXX215]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50968": {
+      "content": "[XXXXX91]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50969": {
+      "content": "[XXXXX257]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50970": {
+      "content": "[XXXXX325]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50971": {
+      "content": "[XXXXX368]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50972": {
+      "content": "[XXXXX1124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50973": {
+      "content": "[XXXXX188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50974": {
+      "content": "[XXXXX905]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50975": {
+      "content": "[XXXXX284]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50976": {
+      "content": "[XXXXX11]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50977": {
+      "content": "[XXXXX83]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50978": {
+      "content": "[XXXXX611]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50979": {
+      "content": "[XXXXX51]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50980": {
+      "content": "[XXXXX99]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50981": {
+      "content": "[XXXXX288]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50982": {
+      "content": "[XXXXX945]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50983": {
+      "content": "[XXXXX975]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50984": {
+      "content": "[XXXXX282]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50985": {
+      "content": "[XXXXX1068]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50986": {
+      "content": "[XXXXX1180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50987": {
+      "content": "[XXXXX574]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50988": {
+      "content": "[XXXXX305]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50989": {
+      "content": "[XXXXX565]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50990": {
+      "content": "[XXXXX865]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50991": {
+      "content": "[XXXXX1014]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50992": {
+      "content": "[XXXXX1138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50993": {
+      "content": "[XXXXX134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50994": {
+      "content": "[XXXXX321]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50995": {
+      "content": "[XXXXX752]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50996": {
+      "content": "[XXXXX108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50997": {
+      "content": "[XXXXX339]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50998": {
+      "content": "[XXXXX893]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50999": {
+      "content": "[XXXXX1177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51000": {
+      "content": "[XXXXX988]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51001": {
+      "content": "[XXXXX719]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51002": {
+      "content": "[XXXXX1059]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51003": {
+      "content": "[XXXXX421]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51004": {
+      "content": "[XXXXX670]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51005": {
+      "content": "[XXXXX949]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51006": {
+      "content": "[XXXXX14]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51007": {
+      "content": "[XXXXX1087]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51008": {
+      "content": "[XXXXX382]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51009": {
+      "content": "[XXXXX531]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51010": {
+      "content": "[XXXXX1079]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51011": {
+      "content": "[XXXXX1067]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51012": {
+      "content": "[XXXXX655]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51013": {
+      "content": "[XXXXX340]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51014": {
+      "content": "[XXXXX398]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51015": {
+      "content": "[XXXXX175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51016": {
+      "content": "[XXXXX232]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51017": {
+      "content": "[XXXXX244]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51018": {
+      "content": "[XXXXX568]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51019": {
+      "content": "[XXXXX1110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51020": {
+      "content": "[XXXXX191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51021": {
+      "content": "[XXXXX931]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51022": {
+      "content": "[XXXXX832]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51023": {
+      "content": "[XXXXX1030]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51024": {
+      "content": "[XXXXX144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51025": {
+      "content": "[XXXXX1102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51026": {
+      "content": "[XXXXX300]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51027": {
+      "content": "[XXXXX996]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51028": {
+      "content": "[XXXXX248]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51029": {
+      "content": "[XXXXX66]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51030": {
+      "content": "[XXXXX735]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51031": {
+      "content": "[XXXXX20]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51032": {
+      "content": "[XXXXX694]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51033": {
+      "content": "[XXXXX845]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51034": {
+      "content": "[XXXXX500]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51035": {
+      "content": "[XXXXX613]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51036": {
+      "content": "[XXXXX117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51037": {
+      "content": "[XXXXX886]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51038": {
+      "content": "[XXXXX261]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51039": {
+      "content": "[XXXXX567]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51040": {
+      "content": "[XXXXX541]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51041": {
+      "content": "[XXXXX529]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51042": {
+      "content": "[XXXXX699]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51043": {
+      "content": "[XXXXX715]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51044": {
+      "content": "[XXXXX1003]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51045": {
+      "content": "[XXXXX518]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51046": {
+      "content": "[XXXXX891]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51047": {
+      "content": "[XXXXX192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51048": {
+      "content": "[XXXXX53]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51049": {
+      "content": "[XXXXX428]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51050": {
+      "content": "[XXXXX183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51051": {
+      "content": "[XXXXX850]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51052": {
+      "content": "[XXXXX539]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51053": {
+      "content": "[XXXXX527]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51054": {
+      "content": "[XXXXX660]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51055": {
+      "content": "[XXXXX409]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51056": {
+      "content": "[XXXXX1122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51057": {
+      "content": "[XXXXX898]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51058": {
+      "content": "[XXXXX858]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51059": {
+      "content": "[XXXXX534]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51060": {
+      "content": "[XXXXX756]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51061": {
+      "content": "[XXXXX63]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51062": {
+      "content": "[XXXXX49]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51063": {
+      "content": "[XXXXX1106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51064": {
+      "content": "[XXXXX111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51065": {
+      "content": "[XXXXX955]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51066": {
+      "content": "[XXXXX309]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51067": {
+      "content": "[XXXXX538]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51068": {
+      "content": "[XXXXX823]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51069": {
+      "content": "[XXXXX867]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51070": {
+      "content": "[XXXXX587]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51071": {
+      "content": "[XXXXX243]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51072": {
+      "content": "[XXXXX677]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51073": {
+      "content": "[XXXXX1017]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51074": {
+      "content": "[XXXXX173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51075": {
+      "content": "[XXXXX682]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51076": {
+      "content": "[XXXXX1184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51077": {
+      "content": "[XXXXX1009]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51078": {
+      "content": "[XXXXX704]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51079": {
+      "content": "[XXXXX532]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51080": {
+      "content": "[XXXXX901]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51081": {
+      "content": "[XXXXX120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51082": {
+      "content": "[XXXXX388]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51083": {
+      "content": "[XXXXX405]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51084": {
+      "content": "[XXXXX788]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51085": {
+      "content": "[XXXXX728]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51086": {
+      "content": "[XXXXX425]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51087": {
+      "content": "[XXXXX883]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51088": {
+      "content": "[XXXXX837]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51089": {
+      "content": "[XXXXX350]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51090": {
+      "content": "[XXXXX716]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51091": {
+      "content": "[XXXXX579]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51092": {
+      "content": "[XXXXX909]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51093": {
+      "content": "[XXXXX884]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51094": {
+      "content": "[XXXXX1011]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51095": {
+      "content": "[XXXXX372]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51096": {
+      "content": "[XXXXX370]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51097": {
+      "content": "[XXXXX468]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51098": {
+      "content": "[XXXXX688]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51099": {
+      "content": "[XXXXX56]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51100": {
+      "content": "[XXXXX653]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51101": {
+      "content": "[XXXXX623]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51102": {
+      "content": "[XXXXX552]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51103": {
+      "content": "[XXXXX314]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51104": {
+      "content": "[XXXXX1018]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51105": {
+      "content": "[XXXXX1091]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51106": {
+      "content": "[XXXXX342]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51107": {
+      "content": "[XXXXX1065]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51108": {
+      "content": "[XXXXX1161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51109": {
+      "content": "[XXXXX959]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51110": {
+      "content": "[XXXXX1035]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51111": {
+      "content": "[XXXXX530]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51112": {
+      "content": "[XXXXX69]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51113": {
+      "content": "[XXXXX489]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51114": {
+      "content": "[XXXXX1]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51115": {
+      "content": "[XXXXX207]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51116": {
+      "content": "[XXXXX433]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51117": {
+      "content": "[XXXXX358]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51118": {
+      "content": "[XXXXX601]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51119": {
+      "content": "[XXXXX2]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51120": {
+      "content": "[XXXXX722]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51121": {
+      "content": "[XXXXX985]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51122": {
+      "content": "[XXXXX908]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51123": {
+      "content": "[XXXXX1024]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51124": {
+      "content": "[XXXXX1111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51125": {
+      "content": "[XXXXX1113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51126": {
+      "content": "[XXXXX678]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51127": {
+      "content": "[XXXXX19]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51128": {
+      "content": "[XXXXX1186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51129": {
+      "content": "[XXXXX808]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51130": {
+      "content": "[XXXXX493]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51131": {
+      "content": "[XXXXX1155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51132": {
+      "content": "[XXXXX217]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51133": {
+      "content": "[XXXXX616]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51134": {
+      "content": "[XXXXX835]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51135": {
+      "content": "[XXXXX994]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51136": {
+      "content": "[XXXXX484]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51137": {
+      "content": "[XXXXX362]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51138": {
+      "content": "[XXXXX582]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51139": {
+      "content": "[XXXXX1034]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51140": {
+      "content": "[XXXXX772]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51141": {
+      "content": "[XXXXX457]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51142": {
+      "content": "[XXXXX604]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51143": {
+      "content": "[XXXXX456]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51144": {
+      "content": "[XXXXX145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51145": {
+      "content": "[XXXXX476]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51146": {
+      "content": "[XXXXX218]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51147": {
+      "content": "[XXXXX199]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51148": {
+      "content": "[XXXXX364]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51149": {
+      "content": "[XXXXX302]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51150": {
+      "content": "[XXXXX881]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51151": {
+      "content": "[XXXXX1088]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51152": {
+      "content": "[XXXXX356]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51153": {
+      "content": "[XXXXX936]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51154": {
+      "content": "[XXXXX978]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51155": {
+      "content": "[XXXXX895]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51156": {
+      "content": "[XXXXX993]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51157": {
+      "content": "[XXXXX458]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51158": {
+      "content": "[XXXXX1002]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51159": {
+      "content": "[XXXXX1022]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51160": {
+      "content": "[XXXXX25]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51161": {
+      "content": "[XXXXX766]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51162": {
+      "content": "[XXXXX64]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51163": {
+      "content": "[XXXXX211]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51164": {
+      "content": "[XXXXX82]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51165": {
+      "content": "[XXXXX634]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51166": {
+      "content": "[XXXXX661]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51167": {
+      "content": "[XXXXX748]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51168": {
+      "content": "[XXXXX778]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51169": {
+      "content": "[XXXXX24]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51170": {
+      "content": "[XXXXX448]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51171": {
+      "content": "[XXXXX887]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51172": {
+      "content": "[XXXXX890]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51173": {
+      "content": "[XXXXX754]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51174": {
+      "content": "[XXXXX343]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51175": {
+      "content": "[XXXXX1069]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51176": {
+      "content": "[XXXXX294]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51177": {
+      "content": "[XXXXX295]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51178": {
+      "content": "[XXXXX197]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51179": {
+      "content": "[XXXXX210]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51180": {
+      "content": "[XXXXX630]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51181": {
+      "content": "[XXXXX707]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51182": {
+      "content": "[XXXXX864]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51183": {
+      "content": "[XXXXX391]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51184": {
+      "content": "[XXXXX338]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51185": {
+      "content": "[XXXXX800]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51186": {
+      "content": "[XXXXX841]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51187": {
+      "content": "[XXXXX967]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51188": {
+      "content": "[XXXXX793]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51189": {
+      "content": "[XXXXX916]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51190": {
+      "content": "[XXXXX603]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51191": {
+      "content": "[XXXXX270]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51192": {
+      "content": "[XXXXX105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51193": {
+      "content": "[XXXXX1016]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51194": {
+      "content": "[XXXXX804]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51195": {
+      "content": "[XXXXX264]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51196": {
+      "content": "[XXXXX155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51197": {
+      "content": "[XXXXX1190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51198": {
+      "content": "[XXXXX813]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51199": {
+      "content": "[XXXXX546]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "keep_accents": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}
diff --git a/checkpoint-12060/trainer_state.json b/checkpoint-12060/trainer_state.json
new file mode 100644
index 0000000..6f7e2c8
--- /dev/null
+++ b/checkpoint-12060/trainer_state.json
@@ -0,0 +1,24418 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 9.991714995857498,
+  "eval_steps": 500,
+  "global_step": 12060,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "entropy": 7.218191003799438,
+      "epoch": 0.004142502071251036,
+      "grad_norm": 1.265625,
+      "learning_rate": 2e-06,
+      "loss": 6.8898,
+      "mean_token_accuracy": 0.08805170804262161,
+      "num_tokens": 9149.0,
+      "step": 5
+    },
+    {
+      "entropy": 7.191673707962036,
+      "epoch": 0.008285004142502071,
+      "grad_norm": 1.5078125,
+      "learning_rate": 4.5e-06,
+      "loss": 6.7268,
+      "mean_token_accuracy": 0.09304728880524635,
+      "num_tokens": 16800.0,
+      "step": 10
+    },
+    {
+      "entropy": 7.134524202346801,
+      "epoch": 0.012427506213753107,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7e-06,
+      "loss": 6.8905,
+      "mean_token_accuracy": 0.0921505056321621,
+      "num_tokens": 26617.0,
+      "step": 15
+    },
+    {
+      "entropy": 7.115550088882446,
+      "epoch": 0.016570008285004142,
+      "grad_norm": 1.25,
+      "learning_rate": 9.5e-06,
+      "loss": 6.8021,
+      "mean_token_accuracy": 0.09268744736909866,
+      "num_tokens": 35855.0,
+      "step": 20
+    },
+    {
+      "entropy": 7.12396879196167,
+      "epoch": 0.020712510356255178,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.2e-05,
+      "loss": 7.0094,
+      "mean_token_accuracy": 0.08752714470028877,
+      "num_tokens": 45644.0,
+      "step": 25
+    },
+    {
+      "entropy": 7.054446792602539,
+      "epoch": 0.024855012427506214,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.4500000000000002e-05,
+      "loss": 6.8922,
+      "mean_token_accuracy": 0.09398627206683159,
+      "num_tokens": 54641.0,
+      "step": 30
+    },
+    {
+      "entropy": 7.012255907058716,
+      "epoch": 0.02899751449875725,
+      "grad_norm": 1.0234375,
+      "learning_rate": 1.7000000000000003e-05,
+      "loss": 6.7519,
+      "mean_token_accuracy": 0.08958807587623596,
+      "num_tokens": 63924.0,
+      "step": 35
+    },
+    {
+      "entropy": 7.068031549453735,
+      "epoch": 0.033140016570008285,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.95e-05,
+      "loss": 6.89,
+      "mean_token_accuracy": 0.09437783882021904,
+      "num_tokens": 73452.0,
+      "step": 40
+    },
+    {
+      "entropy": 7.06072301864624,
+      "epoch": 0.037282518641259324,
+      "grad_norm": 1.0234375,
+      "learning_rate": 2.2e-05,
+      "loss": 6.9455,
+      "mean_token_accuracy": 0.0851291574537754,
+      "num_tokens": 82731.0,
+      "step": 45
+    },
+    {
+      "entropy": 7.090083169937134,
+      "epoch": 0.041425020712510356,
+      "grad_norm": 1.1015625,
+      "learning_rate": 2.4500000000000003e-05,
+      "loss": 6.7734,
+      "mean_token_accuracy": 0.09048294499516488,
+      "num_tokens": 92626.0,
+      "step": 50
+    },
+    {
+      "entropy": 7.149203157424926,
+      "epoch": 0.045567522783761395,
+      "grad_norm": 1.21875,
+      "learning_rate": 2.7e-05,
+      "loss": 6.9497,
+      "mean_token_accuracy": 0.08217904865741729,
+      "num_tokens": 101380.0,
+      "step": 55
+    },
+    {
+      "entropy": 7.119951963424683,
+      "epoch": 0.04971002485501243,
+      "grad_norm": 1.046875,
+      "learning_rate": 2.95e-05,
+      "loss": 6.8604,
+      "mean_token_accuracy": 0.09202293381094932,
+      "num_tokens": 109895.0,
+      "step": 60
+    },
+    {
+      "entropy": 7.2014998435974125,
+      "epoch": 0.053852526926263466,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.2e-05,
+      "loss": 6.8449,
+      "mean_token_accuracy": 0.09257669150829315,
+      "num_tokens": 119203.0,
+      "step": 65
+    },
+    {
+      "entropy": 7.1111664295196535,
+      "epoch": 0.0579950289975145,
+      "grad_norm": 1.1484375,
+      "learning_rate": 3.4500000000000005e-05,
+      "loss": 6.7903,
+      "mean_token_accuracy": 0.09657297283411026,
+      "num_tokens": 127572.0,
+      "step": 70
+    },
+    {
+      "entropy": 7.04930944442749,
+      "epoch": 0.06213753106876554,
+      "grad_norm": 1.03125,
+      "learning_rate": 3.7e-05,
+      "loss": 6.8304,
+      "mean_token_accuracy": 0.09063600301742554,
+      "num_tokens": 137161.0,
+      "step": 75
+    },
+    {
+      "entropy": 7.044711875915527,
+      "epoch": 0.06628003314001657,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.95e-05,
+      "loss": 6.9451,
+      "mean_token_accuracy": 0.08874713778495788,
+      "num_tokens": 145991.0,
+      "step": 80
+    },
+    {
+      "entropy": 7.130092525482178,
+      "epoch": 0.07042253521126761,
+      "grad_norm": 1.0546875,
+      "learning_rate": 4.2000000000000004e-05,
+      "loss": 6.8464,
+      "mean_token_accuracy": 0.08955071866512299,
+      "num_tokens": 154927.0,
+      "step": 85
+    },
+    {
+      "entropy": 7.090402746200562,
+      "epoch": 0.07456503728251865,
+      "grad_norm": 1.34375,
+      "learning_rate": 4.45e-05,
+      "loss": 6.7595,
+      "mean_token_accuracy": 0.09832768961787224,
+      "num_tokens": 163234.0,
+      "step": 90
+    },
+    {
+      "entropy": 7.08957576751709,
+      "epoch": 0.07870753935376967,
+      "grad_norm": 1.015625,
+      "learning_rate": 4.7000000000000004e-05,
+      "loss": 6.7163,
+      "mean_token_accuracy": 0.09379880875349045,
+      "num_tokens": 171554.0,
+      "step": 95
+    },
+    {
+      "entropy": 7.044517278671265,
+      "epoch": 0.08285004142502071,
+      "grad_norm": 1.1328125,
+      "learning_rate": 4.9500000000000004e-05,
+      "loss": 6.8173,
+      "mean_token_accuracy": 0.0955286517739296,
+      "num_tokens": 180171.0,
+      "step": 100
+    },
+    {
+      "entropy": 7.050950908660889,
+      "epoch": 0.08699254349627175,
+      "grad_norm": 1.0859375,
+      "learning_rate": 5.2e-05,
+      "loss": 6.761,
+      "mean_token_accuracy": 0.09741089940071106,
+      "num_tokens": 189216.0,
+      "step": 105
+    },
+    {
+      "entropy": 7.173562717437744,
+      "epoch": 0.09113504556752279,
+      "grad_norm": 1.015625,
+      "learning_rate": 5.45e-05,
+      "loss": 6.9519,
+      "mean_token_accuracy": 0.08675800338387489,
+      "num_tokens": 200022.0,
+      "step": 110
+    },
+    {
+      "entropy": 7.183744478225708,
+      "epoch": 0.09527754763877382,
+      "grad_norm": 1.2265625,
+      "learning_rate": 5.7e-05,
+      "loss": 6.8642,
+      "mean_token_accuracy": 0.09210581332445145,
+      "num_tokens": 208686.0,
+      "step": 115
+    },
+    {
+      "entropy": 7.121539115905762,
+      "epoch": 0.09942004971002485,
+      "grad_norm": 1.1875,
+      "learning_rate": 5.9499999999999996e-05,
+      "loss": 6.8829,
+      "mean_token_accuracy": 0.09462191313505172,
+      "num_tokens": 218266.0,
+      "step": 120
+    },
+    {
+      "entropy": 7.006736946105957,
+      "epoch": 0.1035625517812759,
+      "grad_norm": 1.046875,
+      "learning_rate": 6.2e-05,
+      "loss": 6.7523,
+      "mean_token_accuracy": 0.08771666437387467,
+      "num_tokens": 227658.0,
+      "step": 125
+    },
+    {
+      "entropy": 7.040027761459351,
+      "epoch": 0.10770505385252693,
+      "grad_norm": 1.1015625,
+      "learning_rate": 6.450000000000001e-05,
+      "loss": 6.7014,
+      "mean_token_accuracy": 0.1004502885043621,
+      "num_tokens": 236301.0,
+      "step": 130
+    },
+    {
+      "entropy": 7.106470441818237,
+      "epoch": 0.11184755592377796,
+      "grad_norm": 1.1171875,
+      "learning_rate": 6.7e-05,
+      "loss": 6.8424,
+      "mean_token_accuracy": 0.08812138065695763,
+      "num_tokens": 246355.0,
+      "step": 135
+    },
+    {
+      "entropy": 7.174679756164551,
+      "epoch": 0.115990057995029,
+      "grad_norm": 1.15625,
+      "learning_rate": 6.950000000000001e-05,
+      "loss": 6.8174,
+      "mean_token_accuracy": 0.0924198254942894,
+      "num_tokens": 256023.0,
+      "step": 140
+    },
+    {
+      "entropy": 7.10174069404602,
+      "epoch": 0.12013256006628004,
+      "grad_norm": 0.9921875,
+      "learning_rate": 7.2e-05,
+      "loss": 6.9036,
+      "mean_token_accuracy": 0.08638993799686431,
+      "num_tokens": 266893.0,
+      "step": 145
+    },
+    {
+      "entropy": 7.019921684265137,
+      "epoch": 0.12427506213753108,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7.45e-05,
+      "loss": 6.6606,
+      "mean_token_accuracy": 0.08872481286525727,
+      "num_tokens": 276075.0,
+      "step": 150
+    },
+    {
+      "entropy": 7.042754888534546,
+      "epoch": 0.12841756420878211,
+      "grad_norm": 1.25,
+      "learning_rate": 7.7e-05,
+      "loss": 6.7532,
+      "mean_token_accuracy": 0.09296932220458984,
+      "num_tokens": 285529.0,
+      "step": 155
+    },
+    {
+      "entropy": 7.064399909973145,
+      "epoch": 0.13256006628003314,
+      "grad_norm": 1.15625,
+      "learning_rate": 7.950000000000001e-05,
+      "loss": 6.762,
+      "mean_token_accuracy": 0.09406789913773536,
+      "num_tokens": 294403.0,
+      "step": 160
+    },
+    {
+      "entropy": 7.152362823486328,
+      "epoch": 0.13670256835128416,
+      "grad_norm": 1.28125,
+      "learning_rate": 8.2e-05,
+      "loss": 6.8553,
+      "mean_token_accuracy": 0.09358441680669785,
+      "num_tokens": 303507.0,
+      "step": 165
+    },
+    {
+      "entropy": 7.071487474441528,
+      "epoch": 0.14084507042253522,
+      "grad_norm": 1.21875,
+      "learning_rate": 8.450000000000001e-05,
+      "loss": 6.7534,
+      "mean_token_accuracy": 0.09645206108689308,
+      "num_tokens": 312393.0,
+      "step": 170
+    },
+    {
+      "entropy": 6.956210470199585,
+      "epoch": 0.14498757249378624,
+      "grad_norm": 1.0859375,
+      "learning_rate": 8.7e-05,
+      "loss": 6.7226,
+      "mean_token_accuracy": 0.09953253641724587,
+      "num_tokens": 321309.0,
+      "step": 175
+    },
+    {
+      "entropy": 7.2200812816619875,
+      "epoch": 0.1491300745650373,
+      "grad_norm": 1.1328125,
+      "learning_rate": 8.95e-05,
+      "loss": 6.7879,
+      "mean_token_accuracy": 0.09582221284508705,
+      "num_tokens": 330217.0,
+      "step": 180
+    },
+    {
+      "entropy": 6.964824962615967,
+      "epoch": 0.15327257663628832,
+      "grad_norm": 1.2109375,
+      "learning_rate": 9.2e-05,
+      "loss": 6.8296,
+      "mean_token_accuracy": 0.09584516286849976,
+      "num_tokens": 339587.0,
+      "step": 185
+    },
+    {
+      "entropy": 7.104565525054932,
+      "epoch": 0.15741507870753935,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.45e-05,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.09563353508710862,
+      "num_tokens": 349367.0,
+      "step": 190
+    },
+    {
+      "entropy": 6.90956711769104,
+      "epoch": 0.1615575807787904,
+      "grad_norm": 1.1953125,
+      "learning_rate": 9.7e-05,
+      "loss": 6.6535,
+      "mean_token_accuracy": 0.09533214569091797,
+      "num_tokens": 358272.0,
+      "step": 195
+    },
+    {
+      "entropy": 7.184430170059204,
+      "epoch": 0.16570008285004142,
+      "grad_norm": 1.1875,
+      "learning_rate": 9.95e-05,
+      "loss": 6.8847,
+      "mean_token_accuracy": 0.09342379868030548,
+      "num_tokens": 367709.0,
+      "step": 200
+    },
+    {
+      "entropy": 7.108258152008057,
+      "epoch": 0.16984258492129245,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000102,
+      "loss": 6.7363,
+      "mean_token_accuracy": 0.09321728497743606,
+      "num_tokens": 376180.0,
+      "step": 205
+    },
+    {
+      "entropy": 7.143853282928466,
+      "epoch": 0.1739850869925435,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00010449999999999999,
+      "loss": 6.8927,
+      "mean_token_accuracy": 0.08639989122748375,
+      "num_tokens": 385636.0,
+      "step": 210
+    },
+    {
+      "entropy": 7.005528688430786,
+      "epoch": 0.17812758906379453,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000107,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.10387283116579056,
+      "num_tokens": 394486.0,
+      "step": 215
+    },
+    {
+      "entropy": 7.066776275634766,
+      "epoch": 0.18227009113504558,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0001095,
+      "loss": 6.7286,
+      "mean_token_accuracy": 0.09739693626761436,
+      "num_tokens": 403765.0,
+      "step": 220
+    },
+    {
+      "entropy": 6.9391695022583,
+      "epoch": 0.1864125932062966,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000112,
+      "loss": 6.7198,
+      "mean_token_accuracy": 0.09883175939321517,
+      "num_tokens": 412988.0,
+      "step": 225
+    },
+    {
+      "entropy": 7.029045248031617,
+      "epoch": 0.19055509527754763,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0001145,
+      "loss": 6.6219,
+      "mean_token_accuracy": 0.09850638806819915,
+      "num_tokens": 422096.0,
+      "step": 230
+    },
+    {
+      "entropy": 7.055552911758423,
+      "epoch": 0.19469759734879868,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011700000000000001,
+      "loss": 6.7907,
+      "mean_token_accuracy": 0.08912368193268776,
+      "num_tokens": 431333.0,
+      "step": 235
+    },
+    {
+      "entropy": 7.076433277130127,
+      "epoch": 0.1988400994200497,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00011949999999999999,
+      "loss": 6.825,
+      "mean_token_accuracy": 0.0998022735118866,
+      "num_tokens": 440382.0,
+      "step": 240
+    },
+    {
+      "entropy": 7.098494958877564,
+      "epoch": 0.20298260149130073,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000122,
+      "loss": 6.7184,
+      "mean_token_accuracy": 0.1035430908203125,
+      "num_tokens": 448469.0,
+      "step": 245
+    },
+    {
+      "entropy": 7.065437746047974,
+      "epoch": 0.2071251035625518,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001245,
+      "loss": 6.7562,
+      "mean_token_accuracy": 0.0973759837448597,
+      "num_tokens": 457356.0,
+      "step": 250
+    },
+    {
+      "entropy": 7.103154182434082,
+      "epoch": 0.2112676056338028,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000127,
+      "loss": 6.7821,
+      "mean_token_accuracy": 0.09721289053559304,
+      "num_tokens": 465928.0,
+      "step": 255
+    },
+    {
+      "entropy": 6.99681601524353,
+      "epoch": 0.21541010770505387,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0001295,
+      "loss": 6.6931,
+      "mean_token_accuracy": 0.09931288808584213,
+      "num_tokens": 475269.0,
+      "step": 260
+    },
+    {
+      "entropy": 6.960800266265869,
+      "epoch": 0.2195526097763049,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000132,
+      "loss": 6.679,
+      "mean_token_accuracy": 0.09512786641716957,
+      "num_tokens": 485450.0,
+      "step": 265
+    },
+    {
+      "entropy": 7.0514568328857425,
+      "epoch": 0.22369511184755592,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00013450000000000002,
+      "loss": 6.7347,
+      "mean_token_accuracy": 0.10228226557374001,
+      "num_tokens": 494029.0,
+      "step": 270
+    },
+    {
+      "entropy": 6.9516912460327145,
+      "epoch": 0.22783761391880697,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013700000000000002,
+      "loss": 6.676,
+      "mean_token_accuracy": 0.10202871784567832,
+      "num_tokens": 503253.0,
+      "step": 275
+    },
+    {
+      "entropy": 7.018160057067871,
+      "epoch": 0.231980115990058,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0001395,
+      "loss": 6.6685,
+      "mean_token_accuracy": 0.09529435187578202,
+      "num_tokens": 512857.0,
+      "step": 280
+    },
+    {
+      "entropy": 6.9714985370635985,
+      "epoch": 0.23612261806130902,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00014199999999999998,
+      "loss": 6.7719,
+      "mean_token_accuracy": 0.09288227260112762,
+      "num_tokens": 522319.0,
+      "step": 285
+    },
+    {
+      "entropy": 7.113205528259277,
+      "epoch": 0.24026512013256007,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0001445,
+      "loss": 6.7224,
+      "mean_token_accuracy": 0.09471780881285667,
+      "num_tokens": 531469.0,
+      "step": 290
+    },
+    {
+      "entropy": 6.976934480667114,
+      "epoch": 0.2444076222038111,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000147,
+      "loss": 6.756,
+      "mean_token_accuracy": 0.09480062946677208,
+      "num_tokens": 540470.0,
+      "step": 295
+    },
+    {
+      "entropy": 7.011937475204467,
+      "epoch": 0.24855012427506215,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0001495,
+      "loss": 6.7584,
+      "mean_token_accuracy": 0.09700122326612473,
+      "num_tokens": 550317.0,
+      "step": 300
+    },
+    {
+      "entropy": 7.0365160465240475,
+      "epoch": 0.2526926263463132,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000152,
+      "loss": 6.7067,
+      "mean_token_accuracy": 0.09434132501482964,
+      "num_tokens": 559409.0,
+      "step": 305
+    },
+    {
+      "entropy": 6.928857326507568,
+      "epoch": 0.25683512841756423,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00015450000000000001,
+      "loss": 6.768,
+      "mean_token_accuracy": 0.10764710158109665,
+      "num_tokens": 568726.0,
+      "step": 310
+    },
+    {
+      "entropy": 7.103991413116455,
+      "epoch": 0.2609776304888152,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000157,
+      "loss": 6.7179,
+      "mean_token_accuracy": 0.0976541943848133,
+      "num_tokens": 577926.0,
+      "step": 315
+    },
+    {
+      "entropy": 7.047203779220581,
+      "epoch": 0.2651201325600663,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001595,
+      "loss": 6.7448,
+      "mean_token_accuracy": 0.09809661954641342,
+      "num_tokens": 586695.0,
+      "step": 320
+    },
+    {
+      "entropy": 7.039609956741333,
+      "epoch": 0.26926263463131733,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000162,
+      "loss": 6.771,
+      "mean_token_accuracy": 0.0949723981320858,
+      "num_tokens": 596250.0,
+      "step": 325
+    },
+    {
+      "entropy": 7.063632202148438,
+      "epoch": 0.27340513670256833,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00016450000000000001,
+      "loss": 6.8221,
+      "mean_token_accuracy": 0.09051206335425377,
+      "num_tokens": 605761.0,
+      "step": 330
+    },
+    {
+      "entropy": 7.019326877593994,
+      "epoch": 0.2775476387738194,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00016700000000000002,
+      "loss": 6.7365,
+      "mean_token_accuracy": 0.09872144013643265,
+      "num_tokens": 614313.0,
+      "step": 335
+    },
+    {
+      "entropy": 7.037422132492066,
+      "epoch": 0.28169014084507044,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00016950000000000003,
+      "loss": 6.7692,
+      "mean_token_accuracy": 0.09455474764108658,
+      "num_tokens": 624470.0,
+      "step": 340
+    },
+    {
+      "entropy": 7.039082098007202,
+      "epoch": 0.28583264291632143,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00017199999999999998,
+      "loss": 6.6843,
+      "mean_token_accuracy": 0.09269843101501465,
+      "num_tokens": 633458.0,
+      "step": 345
+    },
+    {
+      "entropy": 6.942268037796021,
+      "epoch": 0.2899751449875725,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00017449999999999999,
+      "loss": 6.6939,
+      "mean_token_accuracy": 0.09877684414386749,
+      "num_tokens": 643251.0,
+      "step": 350
+    },
+    {
+      "entropy": 6.99584732055664,
+      "epoch": 0.29411764705882354,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000177,
+      "loss": 6.7635,
+      "mean_token_accuracy": 0.09713540598750114,
+      "num_tokens": 652005.0,
+      "step": 355
+    },
+    {
+      "entropy": 7.006586170196533,
+      "epoch": 0.2982601491300746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0001795,
+      "loss": 6.6575,
+      "mean_token_accuracy": 0.10120807588100433,
+      "num_tokens": 661003.0,
+      "step": 360
+    },
+    {
+      "entropy": 6.874996137619019,
+      "epoch": 0.3024026512013256,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000182,
+      "loss": 6.6294,
+      "mean_token_accuracy": 0.09844254851341247,
+      "num_tokens": 670221.0,
+      "step": 365
+    },
+    {
+      "entropy": 7.155635738372803,
+      "epoch": 0.30654515327257664,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001845,
+      "loss": 6.9236,
+      "mean_token_accuracy": 0.0882349319756031,
+      "num_tokens": 680756.0,
+      "step": 370
+    },
+    {
+      "entropy": 6.94540753364563,
+      "epoch": 0.3106876553438277,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000187,
+      "loss": 6.6157,
+      "mean_token_accuracy": 0.10289054960012436,
+      "num_tokens": 689641.0,
+      "step": 375
+    },
+    {
+      "entropy": 6.87992377281189,
+      "epoch": 0.3148301574150787,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001895,
+      "loss": 6.5696,
+      "mean_token_accuracy": 0.09839320331811904,
+      "num_tokens": 698209.0,
+      "step": 380
+    },
+    {
+      "entropy": 6.823869276046753,
+      "epoch": 0.31897265948632975,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000192,
+      "loss": 6.5736,
+      "mean_token_accuracy": 0.10355777889490128,
+      "num_tokens": 706712.0,
+      "step": 385
+    },
+    {
+      "entropy": 7.037634468078613,
+      "epoch": 0.3231151615575808,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0001945,
+      "loss": 6.8017,
+      "mean_token_accuracy": 0.09728012606501579,
+      "num_tokens": 716087.0,
+      "step": 390
+    },
+    {
+      "entropy": 6.911249494552612,
+      "epoch": 0.3272576636288318,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00019700000000000002,
+      "loss": 6.6465,
+      "mean_token_accuracy": 0.09347675815224647,
+      "num_tokens": 725913.0,
+      "step": 395
+    },
+    {
+      "entropy": 6.944440317153931,
+      "epoch": 0.33140016570008285,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019950000000000002,
+      "loss": 6.7201,
+      "mean_token_accuracy": 0.10362306237220764,
+      "num_tokens": 735020.0,
+      "step": 400
+    },
+    {
+      "entropy": 6.985636854171753,
+      "epoch": 0.3355426677713339,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000202,
+      "loss": 6.6216,
+      "mean_token_accuracy": 0.09469136893749237,
+      "num_tokens": 744299.0,
+      "step": 405
+    },
+    {
+      "entropy": 6.883630275726318,
+      "epoch": 0.3396851698425849,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00020449999999999998,
+      "loss": 6.6099,
+      "mean_token_accuracy": 0.09694516137242318,
+      "num_tokens": 753231.0,
+      "step": 410
+    },
+    {
+      "entropy": 6.825357389450073,
+      "epoch": 0.34382767191383595,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000207,
+      "loss": 6.6717,
+      "mean_token_accuracy": 0.10230854973196983,
+      "num_tokens": 763043.0,
+      "step": 415
+    },
+    {
+      "entropy": 7.016851997375488,
+      "epoch": 0.347970173985087,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0002095,
+      "loss": 6.6905,
+      "mean_token_accuracy": 0.09913048222661018,
+      "num_tokens": 771977.0,
+      "step": 420
+    },
+    {
+      "entropy": 6.820244407653808,
+      "epoch": 0.352112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000212,
+      "loss": 6.6243,
+      "mean_token_accuracy": 0.1011092983186245,
+      "num_tokens": 780285.0,
+      "step": 425
+    },
+    {
+      "entropy": 6.956075525283813,
+      "epoch": 0.35625517812758906,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002145,
+      "loss": 6.6593,
+      "mean_token_accuracy": 0.09649045094847679,
+      "num_tokens": 789980.0,
+      "step": 430
+    },
+    {
+      "entropy": 6.984846019744873,
+      "epoch": 0.3603976801988401,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021700000000000002,
+      "loss": 6.6275,
+      "mean_token_accuracy": 0.10474459528923034,
+      "num_tokens": 798700.0,
+      "step": 435
+    },
+    {
+      "entropy": 6.767291498184204,
+      "epoch": 0.36454018227009116,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002195,
+      "loss": 6.7208,
+      "mean_token_accuracy": 0.09600067660212516,
+      "num_tokens": 808758.0,
+      "step": 440
+    },
+    {
+      "entropy": 7.046369791030884,
+      "epoch": 0.36868268434134216,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000222,
+      "loss": 6.6666,
+      "mean_token_accuracy": 0.10458802133798599,
+      "num_tokens": 817692.0,
+      "step": 445
+    },
+    {
+      "entropy": 6.95425066947937,
+      "epoch": 0.3728251864125932,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002245,
+      "loss": 6.7146,
+      "mean_token_accuracy": 0.10474570766091347,
+      "num_tokens": 827052.0,
+      "step": 450
+    },
+    {
+      "entropy": 6.895345544815063,
+      "epoch": 0.37696768848384427,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00022700000000000002,
+      "loss": 6.7139,
+      "mean_token_accuracy": 0.1091882586479187,
+      "num_tokens": 836442.0,
+      "step": 455
+    },
+    {
+      "entropy": 6.922871923446655,
+      "epoch": 0.38111019055509526,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00022950000000000002,
+      "loss": 6.5775,
+      "mean_token_accuracy": 0.10118989571928978,
+      "num_tokens": 846441.0,
+      "step": 460
+    },
+    {
+      "entropy": 6.8815388679504395,
+      "epoch": 0.3852526926263463,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00023200000000000003,
+      "loss": 6.6215,
+      "mean_token_accuracy": 0.10475475937128068,
+      "num_tokens": 856108.0,
+      "step": 465
+    },
+    {
+      "entropy": 6.848587274551392,
+      "epoch": 0.38939519469759737,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00023449999999999998,
+      "loss": 6.5833,
+      "mean_token_accuracy": 0.10137399956583977,
+      "num_tokens": 865788.0,
+      "step": 470
+    },
+    {
+      "entropy": 6.886804008483887,
+      "epoch": 0.39353769676884837,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000237,
+      "loss": 6.6302,
+      "mean_token_accuracy": 0.09514767676591873,
+      "num_tokens": 874833.0,
+      "step": 475
+    },
+    {
+      "entropy": 6.751422643661499,
+      "epoch": 0.3976801988400994,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002395,
+      "loss": 6.5997,
+      "mean_token_accuracy": 0.10276172533631325,
+      "num_tokens": 883685.0,
+      "step": 480
+    },
+    {
+      "entropy": 6.881311464309692,
+      "epoch": 0.40182270091135047,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000242,
+      "loss": 6.6001,
+      "mean_token_accuracy": 0.09796027019619942,
+      "num_tokens": 893908.0,
+      "step": 485
+    },
+    {
+      "entropy": 6.934821891784668,
+      "epoch": 0.40596520298260147,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002445,
+      "loss": 6.7142,
+      "mean_token_accuracy": 0.09827135354280472,
+      "num_tokens": 903081.0,
+      "step": 490
+    },
+    {
+      "entropy": 6.7868632793426515,
+      "epoch": 0.4101077050538525,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000247,
+      "loss": 6.5522,
+      "mean_token_accuracy": 0.10336750745773315,
+      "num_tokens": 912515.0,
+      "step": 495
+    },
+    {
+      "entropy": 6.886235475540161,
+      "epoch": 0.4142502071251036,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002495,
+      "loss": 6.5797,
+      "mean_token_accuracy": 0.1070313923060894,
+      "num_tokens": 921056.0,
+      "step": 500
+    },
+    {
+      "epoch": 0.4142502071251036,
+      "eval_entropy": 6.836038604728194,
+      "eval_loss": 6.684774875640869,
+      "eval_mean_token_accuracy": 0.10272799217021034,
+      "eval_num_tokens": 921056.0,
+      "eval_runtime": 2.7891,
+      "eval_samples_per_second": 1343.421,
+      "eval_steps_per_second": 168.152,
+      "step": 500
+    },
+    {
+      "entropy": 6.7657403469085695,
+      "epoch": 0.4183927091963546,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000252,
+      "loss": 6.5317,
+      "mean_token_accuracy": 0.10417452603578567,
+      "num_tokens": 931112.0,
+      "step": 505
+    },
+    {
+      "entropy": 6.821895503997803,
+      "epoch": 0.4225352112676056,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0002545,
+      "loss": 6.6605,
+      "mean_token_accuracy": 0.0978618748486042,
+      "num_tokens": 941120.0,
+      "step": 510
+    },
+    {
+      "entropy": 6.886211729049682,
+      "epoch": 0.4266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000257,
+      "loss": 6.6044,
+      "mean_token_accuracy": 0.09737976416945457,
+      "num_tokens": 950041.0,
+      "step": 515
+    },
+    {
+      "entropy": 6.879851579666138,
+      "epoch": 0.43082021541010773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002595,
+      "loss": 6.5907,
+      "mean_token_accuracy": 0.10606569275259972,
+      "num_tokens": 958608.0,
+      "step": 520
+    },
+    {
+      "entropy": 6.886484861373901,
+      "epoch": 0.43496271748135873,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.000262,
+      "loss": 6.7158,
+      "mean_token_accuracy": 0.09990910813212395,
+      "num_tokens": 966901.0,
+      "step": 525
+    },
+    {
+      "entropy": 6.767313003540039,
+      "epoch": 0.4391052195526098,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026450000000000003,
+      "loss": 6.5504,
+      "mean_token_accuracy": 0.10768762230873108,
+      "num_tokens": 976198.0,
+      "step": 530
+    },
+    {
+      "entropy": 6.892781782150268,
+      "epoch": 0.44324772162386084,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026700000000000004,
+      "loss": 6.624,
+      "mean_token_accuracy": 0.09861580505967141,
+      "num_tokens": 985248.0,
+      "step": 535
+    },
+    {
+      "entropy": 6.772344255447388,
+      "epoch": 0.44739022369511183,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00026950000000000005,
+      "loss": 6.5014,
+      "mean_token_accuracy": 0.1071978710591793,
+      "num_tokens": 993289.0,
+      "step": 540
+    },
+    {
+      "entropy": 6.820696449279785,
+      "epoch": 0.4515327257663629,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027200000000000005,
+      "loss": 6.5909,
+      "mean_token_accuracy": 0.10533165782690049,
+      "num_tokens": 1001784.0,
+      "step": 545
+    },
+    {
+      "entropy": 6.935409688949585,
+      "epoch": 0.45567522783761394,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002745,
+      "loss": 6.5627,
+      "mean_token_accuracy": 0.10804210156202317,
+      "num_tokens": 1010445.0,
+      "step": 550
+    },
+    {
+      "entropy": 6.745790100097656,
+      "epoch": 0.45981772990886494,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000277,
+      "loss": 6.6184,
+      "mean_token_accuracy": 0.10709234476089477,
+      "num_tokens": 1019084.0,
+      "step": 555
+    },
+    {
+      "entropy": 6.7490733623504635,
+      "epoch": 0.463960231980116,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002795,
+      "loss": 6.5249,
+      "mean_token_accuracy": 0.10461713373661041,
+      "num_tokens": 1027263.0,
+      "step": 560
+    },
+    {
+      "entropy": 6.876884937286377,
+      "epoch": 0.46810273405136704,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00028199999999999997,
+      "loss": 6.6233,
+      "mean_token_accuracy": 0.09752989709377288,
+      "num_tokens": 1036275.0,
+      "step": 565
+    },
+    {
+      "entropy": 6.765736055374146,
+      "epoch": 0.47224523612261804,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002845,
+      "loss": 6.7015,
+      "mean_token_accuracy": 0.09858408868312836,
+      "num_tokens": 1045208.0,
+      "step": 570
+    },
+    {
+      "entropy": 6.9024957656860355,
+      "epoch": 0.4763877381938691,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000287,
+      "loss": 6.6287,
+      "mean_token_accuracy": 0.1026283286511898,
+      "num_tokens": 1054703.0,
+      "step": 575
+    },
+    {
+      "entropy": 6.647345924377442,
+      "epoch": 0.48053024026512015,
+      "grad_norm": 1.5,
+      "learning_rate": 0.0002895,
+      "loss": 6.4841,
+      "mean_token_accuracy": 0.10212503597140313,
+      "num_tokens": 1063652.0,
+      "step": 580
+    },
+    {
+      "entropy": 6.717900657653809,
+      "epoch": 0.48467274233637114,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000292,
+      "loss": 6.5873,
+      "mean_token_accuracy": 0.10145951434969902,
+      "num_tokens": 1072070.0,
+      "step": 585
+    },
+    {
+      "entropy": 6.997959756851197,
+      "epoch": 0.4888152444076222,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002945,
+      "loss": 6.6143,
+      "mean_token_accuracy": 0.10064447894692422,
+      "num_tokens": 1079992.0,
+      "step": 590
+    },
+    {
+      "entropy": 6.657160854339599,
+      "epoch": 0.49295774647887325,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000297,
+      "loss": 6.628,
+      "mean_token_accuracy": 0.10435748845338821,
+      "num_tokens": 1088862.0,
+      "step": 595
+    },
+    {
+      "entropy": 6.773271942138672,
+      "epoch": 0.4971002485501243,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002995,
+      "loss": 6.4317,
+      "mean_token_accuracy": 0.10795770138502121,
+      "num_tokens": 1097614.0,
+      "step": 600
+    },
+    {
+      "entropy": 6.7102379322052,
+      "epoch": 0.5012427506213754,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000302,
+      "loss": 6.6288,
+      "mean_token_accuracy": 0.10706980749964715,
+      "num_tokens": 1107347.0,
+      "step": 605
+    },
+    {
+      "entropy": 6.8672473430633545,
+      "epoch": 0.5053852526926264,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003045,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10073774978518486,
+      "num_tokens": 1116707.0,
+      "step": 610
+    },
+    {
+      "entropy": 6.764383840560913,
+      "epoch": 0.5095277547638773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000307,
+      "loss": 6.6549,
+      "mean_token_accuracy": 0.10234303548932075,
+      "num_tokens": 1126356.0,
+      "step": 615
+    },
+    {
+      "entropy": 6.787193298339844,
+      "epoch": 0.5136702568351285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003095,
+      "loss": 6.5847,
+      "mean_token_accuracy": 0.10079671740531922,
+      "num_tokens": 1136281.0,
+      "step": 620
+    },
+    {
+      "entropy": 6.713733196258545,
+      "epoch": 0.5178127589063795,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000312,
+      "loss": 6.5355,
+      "mean_token_accuracy": 0.10429632142186165,
+      "num_tokens": 1145466.0,
+      "step": 625
+    },
+    {
+      "entropy": 6.7503923892974855,
+      "epoch": 0.5219552609776305,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003145,
+      "loss": 6.5409,
+      "mean_token_accuracy": 0.10918259546160698,
+      "num_tokens": 1154225.0,
+      "step": 630
+    },
+    {
+      "entropy": 6.761834907531738,
+      "epoch": 0.5260977630488816,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000317,
+      "loss": 6.5885,
+      "mean_token_accuracy": 0.09673135951161385,
+      "num_tokens": 1163872.0,
+      "step": 635
+    },
+    {
+      "entropy": 6.69431324005127,
+      "epoch": 0.5302402651201326,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003195,
+      "loss": 6.5244,
+      "mean_token_accuracy": 0.10705070868134499,
+      "num_tokens": 1172695.0,
+      "step": 640
+    },
+    {
+      "entropy": 6.651590061187744,
+      "epoch": 0.5343827671913836,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000322,
+      "loss": 6.3962,
+      "mean_token_accuracy": 0.11006554961204529,
+      "num_tokens": 1181291.0,
+      "step": 645
+    },
+    {
+      "entropy": 6.782713270187378,
+      "epoch": 0.5385252692626347,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00032450000000000003,
+      "loss": 6.5715,
+      "mean_token_accuracy": 0.10394523739814758,
+      "num_tokens": 1189927.0,
+      "step": 650
+    },
+    {
+      "entropy": 6.705166435241699,
+      "epoch": 0.5426677713338857,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00032700000000000003,
+      "loss": 6.5043,
+      "mean_token_accuracy": 0.10940467119216919,
+      "num_tokens": 1197913.0,
+      "step": 655
+    },
+    {
+      "entropy": 6.670699262619019,
+      "epoch": 0.5468102734051367,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032950000000000004,
+      "loss": 6.4309,
+      "mean_token_accuracy": 0.11147961542010307,
+      "num_tokens": 1207032.0,
+      "step": 660
+    },
+    {
+      "entropy": 6.640204334259034,
+      "epoch": 0.5509527754763878,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00033200000000000005,
+      "loss": 6.5397,
+      "mean_token_accuracy": 0.10571447387337685,
+      "num_tokens": 1215710.0,
+      "step": 665
+    },
+    {
+      "entropy": 6.694819068908691,
+      "epoch": 0.5550952775476388,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033450000000000005,
+      "loss": 6.52,
+      "mean_token_accuracy": 0.10049431845545768,
+      "num_tokens": 1225619.0,
+      "step": 670
+    },
+    {
+      "entropy": 6.649594163894653,
+      "epoch": 0.5592377796188898,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000337,
+      "loss": 6.4407,
+      "mean_token_accuracy": 0.11157044768333435,
+      "num_tokens": 1235000.0,
+      "step": 675
+    },
+    {
+      "entropy": 6.612611961364746,
+      "epoch": 0.5633802816901409,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003395,
+      "loss": 6.4462,
+      "mean_token_accuracy": 0.108580531924963,
+      "num_tokens": 1243594.0,
+      "step": 680
+    },
+    {
+      "entropy": 6.843221950531006,
+      "epoch": 0.5675227837613919,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000342,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10460855960845947,
+      "num_tokens": 1252279.0,
+      "step": 685
+    },
+    {
+      "entropy": 6.760235929489136,
+      "epoch": 0.5716652858326429,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034449999999999997,
+      "loss": 6.559,
+      "mean_token_accuracy": 0.10665302500128745,
+      "num_tokens": 1261314.0,
+      "step": 690
+    },
+    {
+      "entropy": 6.55326566696167,
+      "epoch": 0.575807787903894,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000347,
+      "loss": 6.4337,
+      "mean_token_accuracy": 0.11188110187649727,
+      "num_tokens": 1270854.0,
+      "step": 695
+    },
+    {
+      "entropy": 6.618375587463379,
+      "epoch": 0.579950289975145,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003495,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.11392810270190239,
+      "num_tokens": 1279183.0,
+      "step": 700
+    },
+    {
+      "entropy": 6.626208257675171,
+      "epoch": 0.584092792046396,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000352,
+      "loss": 6.5015,
+      "mean_token_accuracy": 0.10761247500777245,
+      "num_tokens": 1288347.0,
+      "step": 705
+    },
+    {
+      "entropy": 6.6855669021606445,
+      "epoch": 0.5882352941176471,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003545,
+      "loss": 6.5036,
+      "mean_token_accuracy": 0.10823310390114785,
+      "num_tokens": 1297449.0,
+      "step": 710
+    },
+    {
+      "entropy": 6.710147094726563,
+      "epoch": 0.5923777961888981,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000357,
+      "loss": 6.4688,
+      "mean_token_accuracy": 0.10904998034238815,
+      "num_tokens": 1306232.0,
+      "step": 715
+    },
+    {
+      "entropy": 6.6553794860839846,
+      "epoch": 0.5965202982601492,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003595,
+      "loss": 6.4857,
+      "mean_token_accuracy": 0.11109372302889824,
+      "num_tokens": 1315073.0,
+      "step": 720
+    },
+    {
+      "entropy": 6.674065732955933,
+      "epoch": 0.6006628003314002,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000362,
+      "loss": 6.5301,
+      "mean_token_accuracy": 0.10648825243115426,
+      "num_tokens": 1324629.0,
+      "step": 725
+    },
+    {
+      "entropy": 6.700368881225586,
+      "epoch": 0.6048053024026512,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0003645,
+      "loss": 6.6444,
+      "mean_token_accuracy": 0.10443340390920638,
+      "num_tokens": 1334152.0,
+      "step": 730
+    },
+    {
+      "entropy": 6.779498624801636,
+      "epoch": 0.6089478044739023,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000367,
+      "loss": 6.5946,
+      "mean_token_accuracy": 0.10130336955189705,
+      "num_tokens": 1343063.0,
+      "step": 735
+    },
+    {
+      "entropy": 6.684298419952393,
+      "epoch": 0.6130903065451533,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0003695,
+      "loss": 6.5241,
+      "mean_token_accuracy": 0.10516620799899101,
+      "num_tokens": 1352632.0,
+      "step": 740
+    },
+    {
+      "entropy": 6.582866573333741,
+      "epoch": 0.6172328086164043,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000372,
+      "loss": 6.4712,
+      "mean_token_accuracy": 0.10765027329325676,
+      "num_tokens": 1361103.0,
+      "step": 745
+    },
+    {
+      "entropy": 6.643687963485718,
+      "epoch": 0.6213753106876554,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003745,
+      "loss": 6.4642,
+      "mean_token_accuracy": 0.10832677409052849,
+      "num_tokens": 1370658.0,
+      "step": 750
+    },
+    {
+      "entropy": 6.64506516456604,
+      "epoch": 0.6255178127589064,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000377,
+      "loss": 6.4878,
+      "mean_token_accuracy": 0.10808288529515267,
+      "num_tokens": 1379817.0,
+      "step": 755
+    },
+    {
+      "entropy": 6.640752458572388,
+      "epoch": 0.6296603148301574,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003795,
+      "loss": 6.4418,
+      "mean_token_accuracy": 0.10874675288796425,
+      "num_tokens": 1389329.0,
+      "step": 760
+    },
+    {
+      "entropy": 6.4627049446105955,
+      "epoch": 0.6338028169014085,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000382,
+      "loss": 6.4902,
+      "mean_token_accuracy": 0.10606684386730195,
+      "num_tokens": 1399279.0,
+      "step": 765
+    },
+    {
+      "entropy": 6.621781063079834,
+      "epoch": 0.6379453189726595,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003845,
+      "loss": 6.4146,
+      "mean_token_accuracy": 0.11267002299427986,
+      "num_tokens": 1408765.0,
+      "step": 770
+    },
+    {
+      "entropy": 6.736465692520142,
+      "epoch": 0.6420878210439105,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038700000000000003,
+      "loss": 6.5632,
+      "mean_token_accuracy": 0.10607504546642303,
+      "num_tokens": 1418615.0,
+      "step": 775
+    },
+    {
+      "entropy": 6.616378879547119,
+      "epoch": 0.6462303231151616,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038950000000000003,
+      "loss": 6.4664,
+      "mean_token_accuracy": 0.10207068845629692,
+      "num_tokens": 1427359.0,
+      "step": 780
+    },
+    {
+      "entropy": 6.70065336227417,
+      "epoch": 0.6503728251864126,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00039200000000000004,
+      "loss": 6.622,
+      "mean_token_accuracy": 0.1116428442299366,
+      "num_tokens": 1435516.0,
+      "step": 785
+    },
+    {
+      "entropy": 6.709064102172851,
+      "epoch": 0.6545153272576636,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00039450000000000005,
+      "loss": 6.5704,
+      "mean_token_accuracy": 0.10583743155002594,
+      "num_tokens": 1444438.0,
+      "step": 790
+    },
+    {
+      "entropy": 6.671351766586303,
+      "epoch": 0.6586578293289147,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00039700000000000005,
+      "loss": 6.4996,
+      "mean_token_accuracy": 0.11326526403427124,
+      "num_tokens": 1453740.0,
+      "step": 795
+    },
+    {
+      "entropy": 6.614573907852173,
+      "epoch": 0.6628003314001657,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003995,
+      "loss": 6.4874,
+      "mean_token_accuracy": 0.11111863479018211,
+      "num_tokens": 1462083.0,
+      "step": 800
+    },
+    {
+      "entropy": 6.484545516967773,
+      "epoch": 0.6669428334714167,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000402,
+      "loss": 6.4127,
+      "mean_token_accuracy": 0.1100592203438282,
+      "num_tokens": 1471459.0,
+      "step": 805
+    },
+    {
+      "entropy": 6.621589279174804,
+      "epoch": 0.6710853355426678,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004045,
+      "loss": 6.3972,
+      "mean_token_accuracy": 0.11681128293275833,
+      "num_tokens": 1480516.0,
+      "step": 810
+    },
+    {
+      "entropy": 6.421737241744995,
+      "epoch": 0.6752278376139188,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00040699999999999997,
+      "loss": 6.3,
+      "mean_token_accuracy": 0.11318568140268326,
+      "num_tokens": 1489268.0,
+      "step": 815
+    },
+    {
+      "entropy": 6.700246906280517,
+      "epoch": 0.6793703396851698,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004095,
+      "loss": 6.5174,
+      "mean_token_accuracy": 0.11110908538103104,
+      "num_tokens": 1498819.0,
+      "step": 820
+    },
+    {
+      "entropy": 6.622490644454956,
+      "epoch": 0.6835128417564209,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000412,
+      "loss": 6.501,
+      "mean_token_accuracy": 0.11033953949809075,
+      "num_tokens": 1507852.0,
+      "step": 825
+    },
+    {
+      "entropy": 6.59730544090271,
+      "epoch": 0.6876553438276719,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004145,
+      "loss": 6.5302,
+      "mean_token_accuracy": 0.11122860461473465,
+      "num_tokens": 1517538.0,
+      "step": 830
+    },
+    {
+      "entropy": 6.458763217926025,
+      "epoch": 0.6917978458989229,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000417,
+      "loss": 6.4061,
+      "mean_token_accuracy": 0.11324542313814163,
+      "num_tokens": 1525389.0,
+      "step": 835
+    },
+    {
+      "entropy": 6.57511887550354,
+      "epoch": 0.695940347970174,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004195,
+      "loss": 6.3741,
+      "mean_token_accuracy": 0.11116622686386109,
+      "num_tokens": 1534117.0,
+      "step": 840
+    },
+    {
+      "entropy": 6.522304344177246,
+      "epoch": 0.700082850041425,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000422,
+      "loss": 6.4029,
+      "mean_token_accuracy": 0.11315450444817543,
+      "num_tokens": 1542610.0,
+      "step": 845
+    },
+    {
+      "entropy": 6.5175107479095455,
+      "epoch": 0.704225352112676,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004245,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.1143906556069851,
+      "num_tokens": 1551771.0,
+      "step": 850
+    },
+    {
+      "entropy": 6.620167636871338,
+      "epoch": 0.7083678541839271,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.000427,
+      "loss": 6.5779,
+      "mean_token_accuracy": 0.10512799099087715,
+      "num_tokens": 1560231.0,
+      "step": 855
+    },
+    {
+      "entropy": 6.589151382446289,
+      "epoch": 0.7125103562551781,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004295,
+      "loss": 6.5346,
+      "mean_token_accuracy": 0.10532297939062119,
+      "num_tokens": 1569578.0,
+      "step": 860
+    },
+    {
+      "entropy": 6.563750839233398,
+      "epoch": 0.7166528583264291,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000432,
+      "loss": 6.4187,
+      "mean_token_accuracy": 0.11381370946764946,
+      "num_tokens": 1579308.0,
+      "step": 865
+    },
+    {
+      "entropy": 6.597287034988403,
+      "epoch": 0.7207953603976802,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004345,
+      "loss": 6.6081,
+      "mean_token_accuracy": 0.10267190784215927,
+      "num_tokens": 1589506.0,
+      "step": 870
+    },
+    {
+      "entropy": 6.482245397567749,
+      "epoch": 0.7249378624689312,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000437,
+      "loss": 6.3671,
+      "mean_token_accuracy": 0.11368186473846435,
+      "num_tokens": 1598127.0,
+      "step": 875
+    },
+    {
+      "entropy": 6.548954200744629,
+      "epoch": 0.7290803645401823,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004395,
+      "loss": 6.4125,
+      "mean_token_accuracy": 0.11406067088246345,
+      "num_tokens": 1608073.0,
+      "step": 880
+    },
+    {
+      "entropy": 6.551317119598389,
+      "epoch": 0.7332228666114333,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000442,
+      "loss": 6.4304,
+      "mean_token_accuracy": 0.11178040653467178,
+      "num_tokens": 1616272.0,
+      "step": 885
+    },
+    {
+      "entropy": 6.496135663986206,
+      "epoch": 0.7373653686826843,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004445,
+      "loss": 6.447,
+      "mean_token_accuracy": 0.10845504105091094,
+      "num_tokens": 1625577.0,
+      "step": 890
+    },
+    {
+      "entropy": 6.685812950134277,
+      "epoch": 0.7415078707539354,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000447,
+      "loss": 6.533,
+      "mean_token_accuracy": 0.10158233270049095,
+      "num_tokens": 1634902.0,
+      "step": 895
+    },
+    {
+      "entropy": 6.520436191558838,
+      "epoch": 0.7456503728251864,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00044950000000000003,
+      "loss": 6.4674,
+      "mean_token_accuracy": 0.10865833014249801,
+      "num_tokens": 1644131.0,
+      "step": 900
+    },
+    {
+      "entropy": 6.461379718780518,
+      "epoch": 0.7497928748964374,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00045200000000000004,
+      "loss": 6.3694,
+      "mean_token_accuracy": 0.12158194407820702,
+      "num_tokens": 1652272.0,
+      "step": 905
+    },
+    {
+      "entropy": 6.533070278167725,
+      "epoch": 0.7539353769676885,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00045450000000000004,
+      "loss": 6.4632,
+      "mean_token_accuracy": 0.11447574123740197,
+      "num_tokens": 1660962.0,
+      "step": 910
+    },
+    {
+      "entropy": 6.475569725036621,
+      "epoch": 0.7580778790389395,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045700000000000005,
+      "loss": 6.4006,
+      "mean_token_accuracy": 0.11205699220299721,
+      "num_tokens": 1670570.0,
+      "step": 915
+    },
+    {
+      "entropy": 6.526782608032226,
+      "epoch": 0.7622203811101905,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00045950000000000006,
+      "loss": 6.4497,
+      "mean_token_accuracy": 0.1096197433769703,
+      "num_tokens": 1679674.0,
+      "step": 920
+    },
+    {
+      "entropy": 6.530770015716553,
+      "epoch": 0.7663628831814416,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000462,
+      "loss": 6.4324,
+      "mean_token_accuracy": 0.11466658413410187,
+      "num_tokens": 1688849.0,
+      "step": 925
+    },
+    {
+      "entropy": 6.4163538932800295,
+      "epoch": 0.7705053852526926,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004645,
+      "loss": 6.3128,
+      "mean_token_accuracy": 0.1098814107477665,
+      "num_tokens": 1698565.0,
+      "step": 930
+    },
+    {
+      "entropy": 6.5036052703857425,
+      "epoch": 0.7746478873239436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000467,
+      "loss": 6.3986,
+      "mean_token_accuracy": 0.11683695837855339,
+      "num_tokens": 1708009.0,
+      "step": 935
+    },
+    {
+      "entropy": 6.518198871612549,
+      "epoch": 0.7787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004695,
+      "loss": 6.3878,
+      "mean_token_accuracy": 0.1126109592616558,
+      "num_tokens": 1716497.0,
+      "step": 940
+    },
+    {
+      "entropy": 6.415347719192505,
+      "epoch": 0.7829328914664457,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000472,
+      "loss": 6.4082,
+      "mean_token_accuracy": 0.12070046439766884,
+      "num_tokens": 1725609.0,
+      "step": 945
+    },
+    {
+      "entropy": 6.477306175231933,
+      "epoch": 0.7870753935376967,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004745,
+      "loss": 6.3456,
+      "mean_token_accuracy": 0.11454906165599824,
+      "num_tokens": 1734165.0,
+      "step": 950
+    },
+    {
+      "entropy": 6.454520893096924,
+      "epoch": 0.7912178956089478,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000477,
+      "loss": 6.4546,
+      "mean_token_accuracy": 0.10918105840682983,
+      "num_tokens": 1744856.0,
+      "step": 955
+    },
+    {
+      "entropy": 6.4711943626403805,
+      "epoch": 0.7953603976801988,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004795,
+      "loss": 6.4509,
+      "mean_token_accuracy": 0.10578904524445534,
+      "num_tokens": 1753386.0,
+      "step": 960
+    },
+    {
+      "entropy": 6.4536961078643795,
+      "epoch": 0.7995028997514498,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000482,
+      "loss": 6.3053,
+      "mean_token_accuracy": 0.11872726455330848,
+      "num_tokens": 1762521.0,
+      "step": 965
+    },
+    {
+      "entropy": 6.34936490058899,
+      "epoch": 0.8036454018227009,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004845,
+      "loss": 6.3765,
+      "mean_token_accuracy": 0.11444728896021843,
+      "num_tokens": 1772403.0,
+      "step": 970
+    },
+    {
+      "entropy": 6.375087881088257,
+      "epoch": 0.8077879038939519,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000487,
+      "loss": 6.2884,
+      "mean_token_accuracy": 0.11179185584187508,
+      "num_tokens": 1780924.0,
+      "step": 975
+    },
+    {
+      "entropy": 6.547906732559204,
+      "epoch": 0.8119304059652029,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004895,
+      "loss": 6.4367,
+      "mean_token_accuracy": 0.11225800514221192,
+      "num_tokens": 1789992.0,
+      "step": 980
+    },
+    {
+      "entropy": 6.421040678024292,
+      "epoch": 0.816072908036454,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000492,
+      "loss": 6.3919,
+      "mean_token_accuracy": 0.11761699616909027,
+      "num_tokens": 1799513.0,
+      "step": 985
+    },
+    {
+      "entropy": 6.332476711273193,
+      "epoch": 0.820215410107705,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0004945,
+      "loss": 6.2287,
+      "mean_token_accuracy": 0.11279567033052444,
+      "num_tokens": 1807393.0,
+      "step": 990
+    },
+    {
+      "entropy": 6.438618326187134,
+      "epoch": 0.824357912178956,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000497,
+      "loss": 6.5079,
+      "mean_token_accuracy": 0.10579989776015282,
+      "num_tokens": 1817284.0,
+      "step": 995
+    },
+    {
+      "entropy": 6.449818515777588,
+      "epoch": 0.8285004142502072,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004995,
+      "loss": 6.2996,
+      "mean_token_accuracy": 0.11799877136945724,
+      "num_tokens": 1825591.0,
+      "step": 1000
+    },
+    {
+      "epoch": 0.8285004142502072,
+      "eval_entropy": 6.222835092402216,
+      "eval_loss": 6.475013256072998,
+      "eval_mean_token_accuracy": 0.11269166863866961,
+      "eval_num_tokens": 1825591.0,
+      "eval_runtime": 2.7611,
+      "eval_samples_per_second": 1357.068,
+      "eval_steps_per_second": 169.86,
+      "step": 1000
+    },
+    {
+      "entropy": 6.457831478118896,
+      "epoch": 0.8326429163214581,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0004999998547681232,
+      "loss": 6.3959,
+      "mean_token_accuracy": 0.11798396334052086,
+      "num_tokens": 1834655.0,
+      "step": 1005
+    },
+    {
+      "entropy": 6.26599349975586,
+      "epoch": 0.8367854183927091,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004999992647639447,
+      "loss": 6.2578,
+      "mean_token_accuracy": 0.11858200430870056,
+      "num_tokens": 1844187.0,
+      "step": 1010
+    },
+    {
+      "entropy": 6.415271520614624,
+      "epoch": 0.8409279204639603,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999982209116618,
+      "loss": 6.3345,
+      "mean_token_accuracy": 0.11406200677156449,
+      "num_tokens": 1852768.0,
+      "step": 1015
+    },
+    {
+      "entropy": 6.355557584762574,
+      "epoch": 0.8450704225352113,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004999967232133796,
+      "loss": 6.3913,
+      "mean_token_accuracy": 0.12348653748631477,
+      "num_tokens": 1862095.0,
+      "step": 1020
+    },
+    {
+      "entropy": 6.427043008804321,
+      "epoch": 0.8492129246064622,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004999947716721196,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.10961534604430198,
+      "num_tokens": 1871239.0,
+      "step": 1025
+    },
+    {
+      "entropy": 6.509608554840088,
+      "epoch": 0.8533554266777134,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004999923662918179,
+      "loss": 6.4323,
+      "mean_token_accuracy": 0.11334251016378402,
+      "num_tokens": 1880065.0,
+      "step": 1030
+    },
+    {
+      "entropy": 6.417975521087646,
+      "epoch": 0.8574979287489644,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999895070773266,
+      "loss": 6.4608,
+      "mean_token_accuracy": 0.10985229611396789,
+      "num_tokens": 1889065.0,
+      "step": 1035
+    },
+    {
+      "entropy": 6.429206514358521,
+      "epoch": 0.8616404308202155,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999861940344129,
+      "loss": 6.4721,
+      "mean_token_accuracy": 0.11190373301506043,
+      "num_tokens": 1898238.0,
+      "step": 1040
+    },
+    {
+      "entropy": 6.462369585037232,
+      "epoch": 0.8657829328914665,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004999824271697597,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.12136606723070145,
+      "num_tokens": 1906780.0,
+      "step": 1045
+    },
+    {
+      "entropy": 6.506088638305664,
+      "epoch": 0.8699254349627175,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000499978206490965,
+      "loss": 6.4745,
+      "mean_token_accuracy": 0.11197563111782075,
+      "num_tokens": 1916183.0,
+      "step": 1050
+    },
+    {
+      "entropy": 6.427097368240356,
+      "epoch": 0.8740679370339686,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999735320065427,
+      "loss": 6.3371,
+      "mean_token_accuracy": 0.11927392706274986,
+      "num_tokens": 1925382.0,
+      "step": 1055
+    },
+    {
+      "entropy": 6.292429256439209,
+      "epoch": 0.8782104391052196,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999684037259216,
+      "loss": 6.1827,
+      "mean_token_accuracy": 0.1270924136042595,
+      "num_tokens": 1933639.0,
+      "step": 1060
+    },
+    {
+      "entropy": 6.3600146770477295,
+      "epoch": 0.8823529411764706,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999628216594456,
+      "loss": 6.464,
+      "mean_token_accuracy": 0.11409285366535186,
+      "num_tokens": 1943044.0,
+      "step": 1065
+    },
+    {
+      "entropy": 6.460871028900146,
+      "epoch": 0.8864954432477217,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000499956785818375,
+      "loss": 6.303,
+      "mean_token_accuracy": 0.11871922463178634,
+      "num_tokens": 1951777.0,
+      "step": 1070
+    },
+    {
+      "entropy": 6.376981210708618,
+      "epoch": 0.8906379453189727,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004999502962148843,
+      "loss": 6.3666,
+      "mean_token_accuracy": 0.1170460693538189,
+      "num_tokens": 1961356.0,
+      "step": 1075
+    },
+    {
+      "entropy": 6.439280414581299,
+      "epoch": 0.8947804473902237,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000499943352862064,
+      "loss": 6.4248,
+      "mean_token_accuracy": 0.11459407210350037,
+      "num_tokens": 1970341.0,
+      "step": 1080
+    },
+    {
+      "entropy": 6.394289827346801,
+      "epoch": 0.8989229494614748,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004999359557739194,
+      "loss": 6.2796,
+      "mean_token_accuracy": 0.12198276743292809,
+      "num_tokens": 1978576.0,
+      "step": 1085
+    },
+    {
+      "entropy": 6.319045782089233,
+      "epoch": 0.9030654515327258,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004999281049653713,
+      "loss": 6.3227,
+      "mean_token_accuracy": 0.11601013913750649,
+      "num_tokens": 1987229.0,
+      "step": 1090
+    },
+    {
+      "entropy": 6.376017141342163,
+      "epoch": 0.9072079536039768,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999198004522557,
+      "loss": 6.261,
+      "mean_token_accuracy": 0.12269015237689018,
+      "num_tokens": 1996473.0,
+      "step": 1095
+    },
+    {
+      "entropy": 6.2405853271484375,
+      "epoch": 0.9113504556752279,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999110422513237,
+      "loss": 6.286,
+      "mean_token_accuracy": 0.12056776732206345,
+      "num_tokens": 2005551.0,
+      "step": 1100
+    },
+    {
+      "entropy": 6.398191165924072,
+      "epoch": 0.9154929577464789,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999018303802414,
+      "loss": 6.3869,
+      "mean_token_accuracy": 0.11947718560695648,
+      "num_tokens": 2015012.0,
+      "step": 1105
+    },
+    {
+      "entropy": 6.374700450897217,
+      "epoch": 0.9196354598177299,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004998921648575904,
+      "loss": 6.3999,
+      "mean_token_accuracy": 0.1203969657421112,
+      "num_tokens": 2024435.0,
+      "step": 1110
+    },
+    {
+      "entropy": 6.380674362182617,
+      "epoch": 0.923777961888981,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004998820457028669,
+      "loss": 6.3005,
+      "mean_token_accuracy": 0.12089794874191284,
+      "num_tokens": 2033991.0,
+      "step": 1115
+    },
+    {
+      "entropy": 6.409522771835327,
+      "epoch": 0.927920463960232,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998714729364824,
+      "loss": 6.3017,
+      "mean_token_accuracy": 0.1228084571659565,
+      "num_tokens": 2043117.0,
+      "step": 1120
+    },
+    {
+      "entropy": 6.326260423660278,
+      "epoch": 0.932062966031483,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004998604465797634,
+      "loss": 6.3305,
+      "mean_token_accuracy": 0.11992078274488449,
+      "num_tokens": 2052304.0,
+      "step": 1125
+    },
+    {
+      "entropy": 6.251798295974732,
+      "epoch": 0.9362054681027341,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998489666549512,
+      "loss": 6.2779,
+      "mean_token_accuracy": 0.12114684730768203,
+      "num_tokens": 2061217.0,
+      "step": 1130
+    },
+    {
+      "entropy": 6.319644594192505,
+      "epoch": 0.9403479701739851,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.0004998370331852021,
+      "loss": 6.2517,
+      "mean_token_accuracy": 0.11879112273454666,
+      "num_tokens": 2070796.0,
+      "step": 1135
+    },
+    {
+      "entropy": 6.465651321411133,
+      "epoch": 0.9444904722452361,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004998246461945872,
+      "loss": 6.4037,
+      "mean_token_accuracy": 0.12191760018467904,
+      "num_tokens": 2080202.0,
+      "step": 1140
+    },
+    {
+      "entropy": 6.320812797546386,
+      "epoch": 0.9486329743164872,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004998118057080923,
+      "loss": 6.3045,
+      "mean_token_accuracy": 0.11891168132424354,
+      "num_tokens": 2089788.0,
+      "step": 1145
+    },
+    {
+      "entropy": 6.301202344894409,
+      "epoch": 0.9527754763877382,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004997985117516183,
+      "loss": 6.3462,
+      "mean_token_accuracy": 0.11142431199550629,
+      "num_tokens": 2098727.0,
+      "step": 1150
+    },
+    {
+      "entropy": 6.344118309020996,
+      "epoch": 0.9569179784589892,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997847643519803,
+      "loss": 6.226,
+      "mean_token_accuracy": 0.11924557387828827,
+      "num_tokens": 2107645.0,
+      "step": 1155
+    },
+    {
+      "entropy": 6.1790977954864506,
+      "epoch": 0.9610604805302403,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997705635369085,
+      "loss": 6.1991,
+      "mean_token_accuracy": 0.11988648250699044,
+      "num_tokens": 2116613.0,
+      "step": 1160
+    },
+    {
+      "entropy": 6.284418439865112,
+      "epoch": 0.9652029826014913,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004997559093350474,
+      "loss": 6.1881,
+      "mean_token_accuracy": 0.12116428092122078,
+      "num_tokens": 2125585.0,
+      "step": 1165
+    },
+    {
+      "entropy": 6.396596622467041,
+      "epoch": 0.9693454846727423,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004997408017759562,
+      "loss": 6.3359,
+      "mean_token_accuracy": 0.11936862170696258,
+      "num_tokens": 2134795.0,
+      "step": 1170
+    },
+    {
+      "entropy": 6.273751878738404,
+      "epoch": 0.9734879867439934,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004997252408901084,
+      "loss": 6.3271,
+      "mean_token_accuracy": 0.11899949684739113,
+      "num_tokens": 2143699.0,
+      "step": 1175
+    },
+    {
+      "entropy": 6.386678028106689,
+      "epoch": 0.9776304888152444,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004997092267088922,
+      "loss": 6.2707,
+      "mean_token_accuracy": 0.11861606612801552,
+      "num_tokens": 2152187.0,
+      "step": 1180
+    },
+    {
+      "entropy": 6.275117111206055,
+      "epoch": 0.9817729908864954,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004996927592646097,
+      "loss": 6.3412,
+      "mean_token_accuracy": 0.11767763197422028,
+      "num_tokens": 2160941.0,
+      "step": 1185
+    },
+    {
+      "entropy": 6.339710283279419,
+      "epoch": 0.9859154929577465,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004996758385904776,
+      "loss": 6.3119,
+      "mean_token_accuracy": 0.11789651140570641,
+      "num_tokens": 2168946.0,
+      "step": 1190
+    },
+    {
+      "entropy": 6.181374216079712,
+      "epoch": 0.9900579950289975,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004996584647206269,
+      "loss": 6.2237,
+      "mean_token_accuracy": 0.12055367529392243,
+      "num_tokens": 2177662.0,
+      "step": 1195
+    },
+    {
+      "entropy": 6.316773986816406,
+      "epoch": 0.9942004971002486,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004996406376901026,
+      "loss": 6.3268,
+      "mean_token_accuracy": 0.12757316455245019,
+      "num_tokens": 2187461.0,
+      "step": 1200
+    },
+    {
+      "entropy": 6.283385133743286,
+      "epoch": 0.9983429991714996,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004996223575348635,
+      "loss": 6.2207,
+      "mean_token_accuracy": 0.12578138560056687,
+      "num_tokens": 2196878.0,
+      "step": 1205
+    },
+    {
+      "entropy": 6.311019659042358,
+      "epoch": 1.0024855012427507,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004996036242917828,
+      "loss": 6.2021,
+      "mean_token_accuracy": 0.1151522897183895,
+      "num_tokens": 2206178.0,
+      "step": 1210
+    },
+    {
+      "entropy": 6.25421667098999,
+      "epoch": 1.0066280033140016,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004995844379986476,
+      "loss": 6.0526,
+      "mean_token_accuracy": 0.12476176023483276,
+      "num_tokens": 2215330.0,
+      "step": 1215
+    },
+    {
+      "entropy": 6.309921216964722,
+      "epoch": 1.0107705053852527,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004995647986941587,
+      "loss": 6.0354,
+      "mean_token_accuracy": 0.13005029112100602,
+      "num_tokens": 2224146.0,
+      "step": 1220
+    },
+    {
+      "entropy": 6.241363286972046,
+      "epoch": 1.0149130074565038,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004995447064179308,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13421598002314566,
+      "num_tokens": 2233646.0,
+      "step": 1225
+    },
+    {
+      "entropy": 6.058859920501709,
+      "epoch": 1.0190555095277547,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.000499524161210492,
+      "loss": 5.9379,
+      "mean_token_accuracy": 0.12560308948159218,
+      "num_tokens": 2243663.0,
+      "step": 1230
+    },
+    {
+      "entropy": 6.270004224777222,
+      "epoch": 1.0231980115990058,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004995031631132844,
+      "loss": 6.1035,
+      "mean_token_accuracy": 0.13170127123594283,
+      "num_tokens": 2252564.0,
+      "step": 1235
+    },
+    {
+      "entropy": 6.2710247993469235,
+      "epoch": 1.027340513670257,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004994817121686633,
+      "loss": 6.099,
+      "mean_token_accuracy": 0.12465815395116805,
+      "num_tokens": 2262504.0,
+      "step": 1240
+    },
+    {
+      "entropy": 6.193396997451782,
+      "epoch": 1.0314830157415078,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004994598084198979,
+      "loss": 5.9843,
+      "mean_token_accuracy": 0.1374910719692707,
+      "num_tokens": 2270553.0,
+      "step": 1245
+    },
+    {
+      "entropy": 6.136552810668945,
+      "epoch": 1.035625517812759,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004994374519111701,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.1272726461291313,
+      "num_tokens": 2279319.0,
+      "step": 1250
+    },
+    {
+      "entropy": 6.217378282546997,
+      "epoch": 1.03976801988401,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004994146426875757,
+      "loss": 6.123,
+      "mean_token_accuracy": 0.126935476064682,
+      "num_tokens": 2288749.0,
+      "step": 1255
+    },
+    {
+      "entropy": 6.218695068359375,
+      "epoch": 1.043910521955261,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004993913807951232,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.12562426924705505,
+      "num_tokens": 2298272.0,
+      "step": 1260
+    },
+    {
+      "entropy": 6.221994352340698,
+      "epoch": 1.048053024026512,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004993676662807345,
+      "loss": 6.047,
+      "mean_token_accuracy": 0.12884460240602494,
+      "num_tokens": 2307230.0,
+      "step": 1265
+    },
+    {
+      "entropy": 6.183428144454956,
+      "epoch": 1.0521955260977631,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004993434991922443,
+      "loss": 6.1317,
+      "mean_token_accuracy": 0.12460145726799965,
+      "num_tokens": 2316306.0,
+      "step": 1270
+    },
+    {
+      "entropy": 6.22090425491333,
+      "epoch": 1.056338028169014,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004993188795784002,
+      "loss": 6.0531,
+      "mean_token_accuracy": 0.1241947129368782,
+      "num_tokens": 2325672.0,
+      "step": 1275
+    },
+    {
+      "entropy": 6.1453857421875,
+      "epoch": 1.0604805302402651,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004992938074888628,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.1274007849395275,
+      "num_tokens": 2335251.0,
+      "step": 1280
+    },
+    {
+      "entropy": 6.180039167404175,
+      "epoch": 1.0646230323115162,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004992682829742052,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.1308726042509079,
+      "num_tokens": 2344054.0,
+      "step": 1285
+    },
+    {
+      "entropy": 6.086296463012696,
+      "epoch": 1.0687655343827671,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004992423060859132,
+      "loss": 6.0236,
+      "mean_token_accuracy": 0.127706591039896,
+      "num_tokens": 2353493.0,
+      "step": 1290
+    },
+    {
+      "entropy": 6.223158740997315,
+      "epoch": 1.0729080364540182,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004992158768763849,
+      "loss": 6.1321,
+      "mean_token_accuracy": 0.12850543335080147,
+      "num_tokens": 2362687.0,
+      "step": 1295
+    },
+    {
+      "entropy": 6.2506636619567875,
+      "epoch": 1.0770505385252693,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004991889953989308,
+      "loss": 6.0965,
+      "mean_token_accuracy": 0.12563316524028778,
+      "num_tokens": 2372325.0,
+      "step": 1300
+    },
+    {
+      "entropy": 6.173602199554443,
+      "epoch": 1.0811930405965202,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004991616617077741,
+      "loss": 6.12,
+      "mean_token_accuracy": 0.1287991665303707,
+      "num_tokens": 2381987.0,
+      "step": 1305
+    },
+    {
+      "entropy": 6.307486963272095,
+      "epoch": 1.0853355426677713,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004991338758580496,
+      "loss": 6.0234,
+      "mean_token_accuracy": 0.13178783878684044,
+      "num_tokens": 2390901.0,
+      "step": 1310
+    },
+    {
+      "entropy": 6.034789133071899,
+      "epoch": 1.0894780447390224,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004991056379058045,
+      "loss": 6.0813,
+      "mean_token_accuracy": 0.12450421676039695,
+      "num_tokens": 2400756.0,
+      "step": 1315
+    },
+    {
+      "entropy": 6.188017988204956,
+      "epoch": 1.0936205468102733,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004990769479079976,
+      "loss": 5.9232,
+      "mean_token_accuracy": 0.12984196096658707,
+      "num_tokens": 2409526.0,
+      "step": 1320
+    },
+    {
+      "entropy": 6.086554956436157,
+      "epoch": 1.0977630488815244,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004990478059225003,
+      "loss": 6.0931,
+      "mean_token_accuracy": 0.12972966134548186,
+      "num_tokens": 2419583.0,
+      "step": 1325
+    },
+    {
+      "entropy": 6.2457873821258545,
+      "epoch": 1.1019055509527755,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004990182120080945,
+      "loss": 6.0338,
+      "mean_token_accuracy": 0.12990806251764297,
+      "num_tokens": 2429439.0,
+      "step": 1330
+    },
+    {
+      "entropy": 6.078778219223023,
+      "epoch": 1.1060480530240264,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004989881662244748,
+      "loss": 6.0416,
+      "mean_token_accuracy": 0.12380676046013832,
+      "num_tokens": 2438467.0,
+      "step": 1335
+    },
+    {
+      "entropy": 6.138932418823242,
+      "epoch": 1.1101905550952775,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004989576686322468,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.1332716926932335,
+      "num_tokens": 2446619.0,
+      "step": 1340
+    },
+    {
+      "entropy": 6.1281578540802,
+      "epoch": 1.1143330571665286,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004989267192929272,
+      "loss": 6.0379,
+      "mean_token_accuracy": 0.12955363765358924,
+      "num_tokens": 2454998.0,
+      "step": 1345
+    },
+    {
+      "entropy": 6.09554443359375,
+      "epoch": 1.1184755592377795,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004988953182689445,
+      "loss": 6.0072,
+      "mean_token_accuracy": 0.13532012328505516,
+      "num_tokens": 2463497.0,
+      "step": 1350
+    },
+    {
+      "entropy": 6.134703922271728,
+      "epoch": 1.1226180613090306,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004988634656236378,
+      "loss": 5.9216,
+      "mean_token_accuracy": 0.13609320148825646,
+      "num_tokens": 2471763.0,
+      "step": 1355
+    },
+    {
+      "entropy": 6.145527791976929,
+      "epoch": 1.1267605633802817,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004988311614212576,
+      "loss": 6.0016,
+      "mean_token_accuracy": 0.1402701161801815,
+      "num_tokens": 2479949.0,
+      "step": 1360
+    },
+    {
+      "entropy": 6.116470623016357,
+      "epoch": 1.1309030654515326,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004987984057269648,
+      "loss": 6.0539,
+      "mean_token_accuracy": 0.13444141745567323,
+      "num_tokens": 2489097.0,
+      "step": 1365
+    },
+    {
+      "entropy": 5.972180604934692,
+      "epoch": 1.1350455675227837,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004987651986068311,
+      "loss": 5.8781,
+      "mean_token_accuracy": 0.13601028621196748,
+      "num_tokens": 2497625.0,
+      "step": 1370
+    },
+    {
+      "entropy": 6.143597984313965,
+      "epoch": 1.1391880695940348,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004987315401278394,
+      "loss": 6.1252,
+      "mean_token_accuracy": 0.1272761717438698,
+      "num_tokens": 2507107.0,
+      "step": 1375
+    },
+    {
+      "entropy": 6.286170959472656,
+      "epoch": 1.143330571665286,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004986974303578819,
+      "loss": 6.1408,
+      "mean_token_accuracy": 0.12348597794771195,
+      "num_tokens": 2516629.0,
+      "step": 1380
+    },
+    {
+      "entropy": 6.077923250198364,
+      "epoch": 1.1474730737365368,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004986628693657621,
+      "loss": 6.021,
+      "mean_token_accuracy": 0.1280151717364788,
+      "num_tokens": 2525924.0,
+      "step": 1385
+    },
+    {
+      "entropy": 6.229060649871826,
+      "epoch": 1.151615575807788,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004986278572211933,
+      "loss": 6.1723,
+      "mean_token_accuracy": 0.1280426375567913,
+      "num_tokens": 2535586.0,
+      "step": 1390
+    },
+    {
+      "entropy": 6.189875984191895,
+      "epoch": 1.1557580778790388,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004985923939947987,
+      "loss": 6.2595,
+      "mean_token_accuracy": 0.1247698113322258,
+      "num_tokens": 2546685.0,
+      "step": 1395
+    },
+    {
+      "entropy": 6.148470640182495,
+      "epoch": 1.15990057995029,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004985564797581115,
+      "loss": 5.9681,
+      "mean_token_accuracy": 0.12971177995204924,
+      "num_tokens": 2556873.0,
+      "step": 1400
+    },
+    {
+      "entropy": 6.143459701538086,
+      "epoch": 1.164043082021541,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004985201145835747,
+      "loss": 5.9836,
+      "mean_token_accuracy": 0.13127154856920242,
+      "num_tokens": 2565222.0,
+      "step": 1405
+    },
+    {
+      "entropy": 6.031957960128784,
+      "epoch": 1.1681855840927922,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.000498483298544541,
+      "loss": 5.9875,
+      "mean_token_accuracy": 0.13211632743477822,
+      "num_tokens": 2575467.0,
+      "step": 1410
+    },
+    {
+      "entropy": 6.136318731307983,
+      "epoch": 1.172328086164043,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000498446031715272,
+      "loss": 6.0125,
+      "mean_token_accuracy": 0.13508019223809242,
+      "num_tokens": 2583963.0,
+      "step": 1415
+    },
+    {
+      "entropy": 6.133963680267334,
+      "epoch": 1.1764705882352942,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004984083141709391,
+      "loss": 6.042,
+      "mean_token_accuracy": 0.13524071872234344,
+      "num_tokens": 2593350.0,
+      "step": 1420
+    },
+    {
+      "entropy": 5.975436115264893,
+      "epoch": 1.180613090306545,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000498370145987623,
+      "loss": 5.9652,
+      "mean_token_accuracy": 0.13682079091668128,
+      "num_tokens": 2602191.0,
+      "step": 1425
+    },
+    {
+      "entropy": 6.170718050003051,
+      "epoch": 1.1847555923777962,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004983315272423127,
+      "loss": 6.0999,
+      "mean_token_accuracy": 0.1291058838367462,
+      "num_tokens": 2613590.0,
+      "step": 1430
+    },
+    {
+      "entropy": 6.049332237243652,
+      "epoch": 1.1888980944490473,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004982924580129066,
+      "loss": 5.8895,
+      "mean_token_accuracy": 0.1340464949607849,
+      "num_tokens": 2622072.0,
+      "step": 1435
+    },
+    {
+      "entropy": 6.093293142318726,
+      "epoch": 1.1930405965202984,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004982529383782116,
+      "loss": 6.1012,
+      "mean_token_accuracy": 0.13022035285830497,
+      "num_tokens": 2630904.0,
+      "step": 1440
+    },
+    {
+      "entropy": 6.189996242523193,
+      "epoch": 1.1971830985915493,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004982129684179432,
+      "loss": 6.0594,
+      "mean_token_accuracy": 0.13088259026408194,
+      "num_tokens": 2639925.0,
+      "step": 1445
+    },
+    {
+      "entropy": 6.1187131881713865,
+      "epoch": 1.2013256006628004,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004981725482127251,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.13439981341362,
+      "num_tokens": 2649397.0,
+      "step": 1450
+    },
+    {
+      "entropy": 6.16315655708313,
+      "epoch": 1.2054681027340513,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004981316778440892,
+      "loss": 6.081,
+      "mean_token_accuracy": 0.13515593931078912,
+      "num_tokens": 2658877.0,
+      "step": 1455
+    },
+    {
+      "entropy": 6.063838720321655,
+      "epoch": 1.2096106048053024,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004980903573944756,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13121431767940522,
+      "num_tokens": 2668518.0,
+      "step": 1460
+    },
+    {
+      "entropy": 6.059180212020874,
+      "epoch": 1.2137531068765535,
+      "grad_norm": 1.0078125,
+      "learning_rate": 0.0004980485869472322,
+      "loss": 6.1148,
+      "mean_token_accuracy": 0.12996160089969636,
+      "num_tokens": 2677459.0,
+      "step": 1465
+    },
+    {
+      "entropy": 6.223527908325195,
+      "epoch": 1.2178956089478046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004980063665866143,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12482839822769165,
+      "num_tokens": 2686668.0,
+      "step": 1470
+    },
+    {
+      "entropy": 5.935272264480591,
+      "epoch": 1.2220381110190555,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004979636963977853,
+      "loss": 5.8825,
+      "mean_token_accuracy": 0.1352998949587345,
+      "num_tokens": 2695545.0,
+      "step": 1475
+    },
+    {
+      "entropy": 6.066101598739624,
+      "epoch": 1.2261806130903066,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004979205764668156,
+      "loss": 6.0569,
+      "mean_token_accuracy": 0.13228241056203843,
+      "num_tokens": 2705514.0,
+      "step": 1480
+    },
+    {
+      "entropy": 6.138315343856812,
+      "epoch": 1.2303231151615575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004978770068806825,
+      "loss": 5.9599,
+      "mean_token_accuracy": 0.13136665150523186,
+      "num_tokens": 2714373.0,
+      "step": 1485
+    },
+    {
+      "entropy": 6.061770391464234,
+      "epoch": 1.2344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.000497832987727271,
+      "loss": 6.0715,
+      "mean_token_accuracy": 0.1264137916266918,
+      "num_tokens": 2723887.0,
+      "step": 1490
+    },
+    {
+      "entropy": 6.061756038665772,
+      "epoch": 1.2386081193040597,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004977885190953724,
+      "loss": 5.956,
+      "mean_token_accuracy": 0.13353569880127908,
+      "num_tokens": 2733591.0,
+      "step": 1495
+    },
+    {
+      "entropy": 6.104292392730713,
+      "epoch": 1.2427506213753108,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004977436010746846,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.13720986992120743,
+      "num_tokens": 2741638.0,
+      "step": 1500
+    },
+    {
+      "epoch": 1.2427506213753108,
+      "eval_entropy": 6.029743814773397,
+      "eval_loss": 6.2611613273620605,
+      "eval_mean_token_accuracy": 0.12890694399219332,
+      "eval_num_tokens": 2741638.0,
+      "eval_runtime": 2.9518,
+      "eval_samples_per_second": 1269.399,
+      "eval_steps_per_second": 158.887,
+      "step": 1500
+    },
+    {
+      "entropy": 6.078821802139283,
+      "epoch": 1.2468931234465617,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004976982337558124,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13084649220108985,
+      "num_tokens": 2749711.0,
+      "step": 1505
+    },
+    {
+      "entropy": 6.094208097457885,
+      "epoch": 1.2510356255178128,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004976524172302665,
+      "loss": 6.121,
+      "mean_token_accuracy": 0.13192041367292404,
+      "num_tokens": 2758121.0,
+      "step": 1510
+    },
+    {
+      "entropy": 6.159745693206787,
+      "epoch": 1.2551781275890637,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004976061515904641,
+      "loss": 6.1181,
+      "mean_token_accuracy": 0.12667254582047463,
+      "num_tokens": 2766764.0,
+      "step": 1515
+    },
+    {
+      "entropy": 6.116680526733399,
+      "epoch": 1.2593206296603148,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004975594369297277,
+      "loss": 6.0557,
+      "mean_token_accuracy": 0.1348518520593643,
+      "num_tokens": 2775561.0,
+      "step": 1520
+    },
+    {
+      "entropy": 6.08063235282898,
+      "epoch": 1.2634631317315659,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004975122733422861,
+      "loss": 6.0201,
+      "mean_token_accuracy": 0.13085112273693084,
+      "num_tokens": 2784691.0,
+      "step": 1525
+    },
+    {
+      "entropy": 6.129113435745239,
+      "epoch": 1.267605633802817,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004974646609232732,
+      "loss": 5.9816,
+      "mean_token_accuracy": 0.13641836866736412,
+      "num_tokens": 2793893.0,
+      "step": 1530
+    },
+    {
+      "entropy": 6.108260202407837,
+      "epoch": 1.2717481358740679,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004974165997687288,
+      "loss": 6.0751,
+      "mean_token_accuracy": 0.13353196606040002,
+      "num_tokens": 2804479.0,
+      "step": 1535
+    },
+    {
+      "entropy": 6.16022138595581,
+      "epoch": 1.275890637945319,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004973680899755972,
+      "loss": 6.107,
+      "mean_token_accuracy": 0.1326654002070427,
+      "num_tokens": 2813966.0,
+      "step": 1540
+    },
+    {
+      "entropy": 6.007886743545532,
+      "epoch": 1.2800331400165699,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000497319131641728,
+      "loss": 5.9326,
+      "mean_token_accuracy": 0.13846119418740271,
+      "num_tokens": 2822328.0,
+      "step": 1545
+    },
+    {
+      "entropy": 6.003260755538941,
+      "epoch": 1.284175642087821,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004972697248658755,
+      "loss": 5.8899,
+      "mean_token_accuracy": 0.14066707715392113,
+      "num_tokens": 2829845.0,
+      "step": 1550
+    },
+    {
+      "entropy": 5.948832178115845,
+      "epoch": 1.288318144159072,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004972198697476987,
+      "loss": 5.8783,
+      "mean_token_accuracy": 0.13914238885045052,
+      "num_tokens": 2839040.0,
+      "step": 1555
+    },
+    {
+      "entropy": 5.961882209777832,
+      "epoch": 1.2924606462303232,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004971695663877607,
+      "loss": 5.9665,
+      "mean_token_accuracy": 0.13561231270432472,
+      "num_tokens": 2848574.0,
+      "step": 1560
+    },
+    {
+      "entropy": 6.077086877822876,
+      "epoch": 1.296603148301574,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004971188148875289,
+      "loss": 5.9421,
+      "mean_token_accuracy": 0.14444561377167703,
+      "num_tokens": 2856812.0,
+      "step": 1565
+    },
+    {
+      "entropy": 6.051652336120606,
+      "epoch": 1.3007456503728252,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004970676153493748,
+      "loss": 6.0283,
+      "mean_token_accuracy": 0.13189572617411613,
+      "num_tokens": 2866001.0,
+      "step": 1570
+    },
+    {
+      "entropy": 6.1068840503692625,
+      "epoch": 1.3048881524440763,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004970159678765731,
+      "loss": 6.0164,
+      "mean_token_accuracy": 0.13239546120166779,
+      "num_tokens": 2875181.0,
+      "step": 1575
+    },
+    {
+      "entropy": 6.049808597564697,
+      "epoch": 1.3090306545153272,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004969638725733028,
+      "loss": 5.9587,
+      "mean_token_accuracy": 0.13397156223654746,
+      "num_tokens": 2885103.0,
+      "step": 1580
+    },
+    {
+      "entropy": 5.92131872177124,
+      "epoch": 1.3131731565865783,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004969113295446455,
+      "loss": 5.9116,
+      "mean_token_accuracy": 0.1383065924048424,
+      "num_tokens": 2894055.0,
+      "step": 1585
+    },
+    {
+      "entropy": 6.116864538192749,
+      "epoch": 1.3173156586578294,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004968583388965863,
+      "loss": 5.9846,
+      "mean_token_accuracy": 0.133075200766325,
+      "num_tokens": 2903391.0,
+      "step": 1590
+    },
+    {
+      "entropy": 6.006745624542236,
+      "epoch": 1.3214581607290803,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004968049007360132,
+      "loss": 5.9854,
+      "mean_token_accuracy": 0.13297903537750244,
+      "num_tokens": 2911760.0,
+      "step": 1595
+    },
+    {
+      "entropy": 5.926331329345703,
+      "epoch": 1.3256006628003314,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004967510151707169,
+      "loss": 5.9369,
+      "mean_token_accuracy": 0.13469143435359002,
+      "num_tokens": 2920589.0,
+      "step": 1600
+    },
+    {
+      "entropy": 6.15295524597168,
+      "epoch": 1.3297431648715825,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004966966823093903,
+      "loss": 6.0746,
+      "mean_token_accuracy": 0.1302391268312931,
+      "num_tokens": 2929635.0,
+      "step": 1605
+    },
+    {
+      "entropy": 5.986531114578247,
+      "epoch": 1.3338856669428334,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004966419022616287,
+      "loss": 5.9349,
+      "mean_token_accuracy": 0.13593596145510672,
+      "num_tokens": 2938778.0,
+      "step": 1610
+    },
+    {
+      "entropy": 6.039755535125733,
+      "epoch": 1.3380281690140845,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004965866751379296,
+      "loss": 6.0503,
+      "mean_token_accuracy": 0.13109695687890052,
+      "num_tokens": 2947836.0,
+      "step": 1615
+    },
+    {
+      "entropy": 6.133180904388428,
+      "epoch": 1.3421706710853356,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004965310010496922,
+      "loss": 6.0032,
+      "mean_token_accuracy": 0.1280514419078827,
+      "num_tokens": 2957028.0,
+      "step": 1620
+    },
+    {
+      "entropy": 6.026159048080444,
+      "epoch": 1.3463131731565865,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004964748801092168,
+      "loss": 5.9571,
+      "mean_token_accuracy": 0.1338861681520939,
+      "num_tokens": 2966088.0,
+      "step": 1625
+    },
+    {
+      "entropy": 6.078959226608276,
+      "epoch": 1.3504556752278376,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004964183124297059,
+      "loss": 6.0438,
+      "mean_token_accuracy": 0.13178688064217567,
+      "num_tokens": 2975271.0,
+      "step": 1630
+    },
+    {
+      "entropy": 5.992210865020752,
+      "epoch": 1.3545981772990887,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004963612981252625,
+      "loss": 6.0524,
+      "mean_token_accuracy": 0.1321226365864277,
+      "num_tokens": 2983799.0,
+      "step": 1635
+    },
+    {
+      "entropy": 6.056794929504394,
+      "epoch": 1.3587406793703396,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004963038373108908,
+      "loss": 6.0179,
+      "mean_token_accuracy": 0.13609340488910676,
+      "num_tokens": 2992675.0,
+      "step": 1640
+    },
+    {
+      "entropy": 6.155933427810669,
+      "epoch": 1.3628831814415907,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004962459301024954,
+      "loss": 6.0838,
+      "mean_token_accuracy": 0.13211635649204254,
+      "num_tokens": 3002483.0,
+      "step": 1645
+    },
+    {
+      "entropy": 6.027872896194458,
+      "epoch": 1.3670256835128418,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004961875766168816,
+      "loss": 5.985,
+      "mean_token_accuracy": 0.13883458971977233,
+      "num_tokens": 3010611.0,
+      "step": 1650
+    },
+    {
+      "entropy": 6.057289028167725,
+      "epoch": 1.371168185584093,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004961287769717547,
+      "loss": 5.9397,
+      "mean_token_accuracy": 0.13197456523776055,
+      "num_tokens": 3019928.0,
+      "step": 1655
+    },
+    {
+      "entropy": 5.9325989246368405,
+      "epoch": 1.3753106876553438,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004960695312857199,
+      "loss": 5.9279,
+      "mean_token_accuracy": 0.13408055454492568,
+      "num_tokens": 3029003.0,
+      "step": 1660
+    },
+    {
+      "entropy": 6.0389604568481445,
+      "epoch": 1.379453189726595,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004960098396782824,
+      "loss": 5.9464,
+      "mean_token_accuracy": 0.1375861033797264,
+      "num_tokens": 3038049.0,
+      "step": 1665
+    },
+    {
+      "entropy": 5.969662141799927,
+      "epoch": 1.3835956917978458,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004959497022698466,
+      "loss": 5.9515,
+      "mean_token_accuracy": 0.14408120438456534,
+      "num_tokens": 3046674.0,
+      "step": 1670
+    },
+    {
+      "entropy": 6.0561059474945065,
+      "epoch": 1.387738193869097,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004958891191817163,
+      "loss": 5.9927,
+      "mean_token_accuracy": 0.12801324650645257,
+      "num_tokens": 3056459.0,
+      "step": 1675
+    },
+    {
+      "entropy": 6.032327270507812,
+      "epoch": 1.391880695940348,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000495828090536094,
+      "loss": 5.9845,
+      "mean_token_accuracy": 0.13036760538816453,
+      "num_tokens": 3066294.0,
+      "step": 1680
+    },
+    {
+      "entropy": 6.0512574195861815,
+      "epoch": 1.3960231980115991,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004957666164560815,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13139644563198088,
+      "num_tokens": 3075420.0,
+      "step": 1685
+    },
+    {
+      "entropy": 6.063203239440918,
+      "epoch": 1.40016570008285,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004957046970656784,
+      "loss": 6.0385,
+      "mean_token_accuracy": 0.13581736162304878,
+      "num_tokens": 3084373.0,
+      "step": 1690
+    },
+    {
+      "entropy": 6.00097541809082,
+      "epoch": 1.4043082021541011,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004956423324897831,
+      "loss": 6.0257,
+      "mean_token_accuracy": 0.13937310948967935,
+      "num_tokens": 3094212.0,
+      "step": 1695
+    },
+    {
+      "entropy": 6.043115425109863,
+      "epoch": 1.408450704225352,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004955795228541917,
+      "loss": 5.9589,
+      "mean_token_accuracy": 0.14452596232295037,
+      "num_tokens": 3102769.0,
+      "step": 1700
+    },
+    {
+      "entropy": 6.040110731124878,
+      "epoch": 1.4125932062966031,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000495516268285598,
+      "loss": 5.9805,
+      "mean_token_accuracy": 0.13440805301070213,
+      "num_tokens": 3111465.0,
+      "step": 1705
+    },
+    {
+      "entropy": 5.978239822387695,
+      "epoch": 1.4167357083678542,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004954525689115935,
+      "loss": 5.9177,
+      "mean_token_accuracy": 0.13326097056269645,
+      "num_tokens": 3121106.0,
+      "step": 1710
+    },
+    {
+      "entropy": 6.007881164550781,
+      "epoch": 1.4208782104391053,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004953884248606669,
+      "loss": 5.945,
+      "mean_token_accuracy": 0.14831372052431108,
+      "num_tokens": 3130662.0,
+      "step": 1715
+    },
+    {
+      "entropy": 5.97642674446106,
+      "epoch": 1.4250207125103562,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004953238362622034,
+      "loss": 5.9812,
+      "mean_token_accuracy": 0.13328263983130456,
+      "num_tokens": 3139538.0,
+      "step": 1720
+    },
+    {
+      "entropy": 6.0256367206573485,
+      "epoch": 1.4291632145816073,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004952588032464855,
+      "loss": 6.0298,
+      "mean_token_accuracy": 0.12707214802503586,
+      "num_tokens": 3148552.0,
+      "step": 1725
+    },
+    {
+      "entropy": 5.996851205825806,
+      "epoch": 1.4333057166528582,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004951933259446919,
+      "loss": 5.9365,
+      "mean_token_accuracy": 0.14197203740477563,
+      "num_tokens": 3156549.0,
+      "step": 1730
+    },
+    {
+      "entropy": 6.114988136291504,
+      "epoch": 1.4374482187241093,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004951274044888975,
+      "loss": 6.1006,
+      "mean_token_accuracy": 0.12147112190723419,
+      "num_tokens": 3166821.0,
+      "step": 1735
+    },
+    {
+      "entropy": 5.960144329071045,
+      "epoch": 1.4415907207953604,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004950610390120731,
+      "loss": 5.9848,
+      "mean_token_accuracy": 0.135729306191206,
+      "num_tokens": 3174962.0,
+      "step": 1740
+    },
+    {
+      "entropy": 6.087535095214844,
+      "epoch": 1.4457332228666115,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000494994229648085,
+      "loss": 5.8903,
+      "mean_token_accuracy": 0.13537728488445283,
+      "num_tokens": 3184027.0,
+      "step": 1745
+    },
+    {
+      "entropy": 5.957475805282593,
+      "epoch": 1.4498757249378624,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004949269765316948,
+      "loss": 6.0321,
+      "mean_token_accuracy": 0.13071285635232927,
+      "num_tokens": 3193186.0,
+      "step": 1750
+    },
+    {
+      "entropy": 6.171153354644775,
+      "epoch": 1.4540182270091135,
+      "grad_norm": 2.140625,
+      "learning_rate": 0.0004948592797985599,
+      "loss": 6.0525,
+      "mean_token_accuracy": 0.13555259853601456,
+      "num_tokens": 3202676.0,
+      "step": 1755
+    },
+    {
+      "entropy": 6.123908805847168,
+      "epoch": 1.4581607290803644,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947911395852317,
+      "loss": 6.1524,
+      "mean_token_accuracy": 0.1352410912513733,
+      "num_tokens": 3211950.0,
+      "step": 1760
+    },
+    {
+      "entropy": 6.120599699020386,
+      "epoch": 1.4623032311516155,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947225560291565,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12961760386824608,
+      "num_tokens": 3221135.0,
+      "step": 1765
+    },
+    {
+      "entropy": 5.962483358383179,
+      "epoch": 1.4664457332228666,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004946535292686746,
+      "loss": 5.8975,
+      "mean_token_accuracy": 0.13825839310884475,
+      "num_tokens": 3230174.0,
+      "step": 1770
+    },
+    {
+      "entropy": 5.979943370819091,
+      "epoch": 1.4705882352941178,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004945840594430209,
+      "loss": 5.8871,
+      "mean_token_accuracy": 0.1381668671965599,
+      "num_tokens": 3238898.0,
+      "step": 1775
+    },
+    {
+      "entropy": 5.973515844345092,
+      "epoch": 1.4747307373653686,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004945141466923235,
+      "loss": 5.9292,
+      "mean_token_accuracy": 0.14479121565818787,
+      "num_tokens": 3247550.0,
+      "step": 1780
+    },
+    {
+      "entropy": 6.113377714157105,
+      "epoch": 1.4788732394366197,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004944437911576041,
+      "loss": 6.0779,
+      "mean_token_accuracy": 0.12900342419743538,
+      "num_tokens": 3256810.0,
+      "step": 1785
+    },
+    {
+      "entropy": 5.9020613670349125,
+      "epoch": 1.4830157415078706,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004943729929807772,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.139550269395113,
+      "num_tokens": 3265886.0,
+      "step": 1790
+    },
+    {
+      "entropy": 6.06021089553833,
+      "epoch": 1.4871582435791217,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004943017523046507,
+      "loss": 5.9273,
+      "mean_token_accuracy": 0.137468421459198,
+      "num_tokens": 3274522.0,
+      "step": 1795
+    },
+    {
+      "entropy": 6.027210426330567,
+      "epoch": 1.4913007456503728,
+      "grad_norm": 1.25,
+      "learning_rate": 0.000494230069272925,
+      "loss": 6.0486,
+      "mean_token_accuracy": 0.13558472618460654,
+      "num_tokens": 3283388.0,
+      "step": 1800
+    },
+    {
+      "entropy": 5.989331531524658,
+      "epoch": 1.495443247721624,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004941579440301923,
+      "loss": 5.9224,
+      "mean_token_accuracy": 0.1305856943130493,
+      "num_tokens": 3291887.0,
+      "step": 1805
+    },
+    {
+      "entropy": 5.96136965751648,
+      "epoch": 1.4995857497928748,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940853767219372,
+      "loss": 5.9685,
+      "mean_token_accuracy": 0.13564062863588333,
+      "num_tokens": 3300674.0,
+      "step": 1810
+    },
+    {
+      "entropy": 5.9364429950714115,
+      "epoch": 1.503728251864126,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940123674945359,
+      "loss": 5.8311,
+      "mean_token_accuracy": 0.13808463513851166,
+      "num_tokens": 3309745.0,
+      "step": 1815
+    },
+    {
+      "entropy": 6.076629638671875,
+      "epoch": 1.5078707539353768,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004939389164952561,
+      "loss": 5.9722,
+      "mean_token_accuracy": 0.1378110609948635,
+      "num_tokens": 3318888.0,
+      "step": 1820
+    },
+    {
+      "entropy": 5.8970863819122314,
+      "epoch": 1.512013256006628,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004938650238722564,
+      "loss": 5.9296,
+      "mean_token_accuracy": 0.13823849260807036,
+      "num_tokens": 3328274.0,
+      "step": 1825
+    },
+    {
+      "entropy": 6.003948831558228,
+      "epoch": 1.516155758077879,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004937906897745861,
+      "loss": 5.9387,
+      "mean_token_accuracy": 0.1468382939696312,
+      "num_tokens": 3337579.0,
+      "step": 1830
+    },
+    {
+      "entropy": 6.045965003967285,
+      "epoch": 1.5202982601491302,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004937159143521856,
+      "loss": 5.9081,
+      "mean_token_accuracy": 0.14555162489414214,
+      "num_tokens": 3346262.0,
+      "step": 1835
+    },
+    {
+      "entropy": 5.972390079498291,
+      "epoch": 1.5244407622203813,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004936406977558847,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.13030771315097808,
+      "num_tokens": 3354833.0,
+      "step": 1840
+    },
+    {
+      "entropy": 6.051387977600098,
+      "epoch": 1.5285832642916322,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004935650401374039,
+      "loss": 6.0906,
+      "mean_token_accuracy": 0.14119647368788718,
+      "num_tokens": 3364314.0,
+      "step": 1845
+    },
+    {
+      "entropy": 6.046140813827515,
+      "epoch": 1.532725766362883,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004934889416493524,
+      "loss": 5.9157,
+      "mean_token_accuracy": 0.13524662256240844,
+      "num_tokens": 3373648.0,
+      "step": 1850
+    },
+    {
+      "entropy": 5.863892507553101,
+      "epoch": 1.5368682684341342,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004934124024452295,
+      "loss": 5.7869,
+      "mean_token_accuracy": 0.1471114367246628,
+      "num_tokens": 3382919.0,
+      "step": 1855
+    },
+    {
+      "entropy": 5.888700532913208,
+      "epoch": 1.5410107705053853,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004933354226794232,
+      "loss": 5.9383,
+      "mean_token_accuracy": 0.1432707317173481,
+      "num_tokens": 3391814.0,
+      "step": 1860
+    },
+    {
+      "entropy": 6.080925798416137,
+      "epoch": 1.5451532725766364,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004932580025072098,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.13580586463212968,
+      "num_tokens": 3400392.0,
+      "step": 1865
+    },
+    {
+      "entropy": 5.996384525299073,
+      "epoch": 1.5492957746478875,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004931801420847545,
+      "loss": 6.036,
+      "mean_token_accuracy": 0.13089759424328803,
+      "num_tokens": 3410430.0,
+      "step": 1870
+    },
+    {
+      "entropy": 5.932257795333863,
+      "epoch": 1.5534382767191384,
+      "grad_norm": 0.9609375,
+      "learning_rate": 0.0004931018415691102,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.13694921880960464,
+      "num_tokens": 3420654.0,
+      "step": 1875
+    },
+    {
+      "entropy": 5.951343011856079,
+      "epoch": 1.5575807787903893,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004930231011182176,
+      "loss": 5.9986,
+      "mean_token_accuracy": 0.13937177062034606,
+      "num_tokens": 3430514.0,
+      "step": 1880
+    },
+    {
+      "entropy": 6.071512508392334,
+      "epoch": 1.5617232808616404,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004929439208909048,
+      "loss": 5.9331,
+      "mean_token_accuracy": 0.1375361390411854,
+      "num_tokens": 3439551.0,
+      "step": 1885
+    },
+    {
+      "entropy": 5.902947330474854,
+      "epoch": 1.5658657829328915,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004928643010468869,
+      "loss": 5.8911,
+      "mean_token_accuracy": 0.13622887432575226,
+      "num_tokens": 3448160.0,
+      "step": 1890
+    },
+    {
+      "entropy": 5.993059539794922,
+      "epoch": 1.5700082850041426,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004927842417467659,
+      "loss": 5.9517,
+      "mean_token_accuracy": 0.14548188596963882,
+      "num_tokens": 3457296.0,
+      "step": 1895
+    },
+    {
+      "entropy": 6.027637386322022,
+      "epoch": 1.5741507870753937,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004927037431520302,
+      "loss": 5.9073,
+      "mean_token_accuracy": 0.14102519080042838,
+      "num_tokens": 3466108.0,
+      "step": 1900
+    },
+    {
+      "entropy": 5.975209665298462,
+      "epoch": 1.5782932891466446,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004926228054250541,
+      "loss": 5.9941,
+      "mean_token_accuracy": 0.14009249955415726,
+      "num_tokens": 3475336.0,
+      "step": 1905
+    },
+    {
+      "entropy": 6.073916673660278,
+      "epoch": 1.5824357912178955,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004925414287290979,
+      "loss": 5.9668,
+      "mean_token_accuracy": 0.13723743334412575,
+      "num_tokens": 3483963.0,
+      "step": 1910
+    },
+    {
+      "entropy": 5.848618030548096,
+      "epoch": 1.5865782932891466,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004924596132283075,
+      "loss": 5.8765,
+      "mean_token_accuracy": 0.14485997408628465,
+      "num_tokens": 3492947.0,
+      "step": 1915
+    },
+    {
+      "entropy": 5.966853284835816,
+      "epoch": 1.5907207953603977,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004923773590877135,
+      "loss": 5.9651,
+      "mean_token_accuracy": 0.13334692791104316,
+      "num_tokens": 3501877.0,
+      "step": 1920
+    },
+    {
+      "entropy": 6.042904996871949,
+      "epoch": 1.5948632974316488,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004922946664732314,
+      "loss": 6.0304,
+      "mean_token_accuracy": 0.13204361274838447,
+      "num_tokens": 3510610.0,
+      "step": 1925
+    },
+    {
+      "entropy": 6.0583656311035154,
+      "epoch": 1.5990057995029,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004922115355516615,
+      "loss": 5.9841,
+      "mean_token_accuracy": 0.13304307833313941,
+      "num_tokens": 3519829.0,
+      "step": 1930
+    },
+    {
+      "entropy": 6.015839862823486,
+      "epoch": 1.6031483015741508,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004921279664906877,
+      "loss": 5.9661,
+      "mean_token_accuracy": 0.13071200698614122,
+      "num_tokens": 3529408.0,
+      "step": 1935
+    },
+    {
+      "entropy": 5.924501991271972,
+      "epoch": 1.6072908036454017,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004920439594588781,
+      "loss": 5.8955,
+      "mean_token_accuracy": 0.14675913602113724,
+      "num_tokens": 3538068.0,
+      "step": 1940
+    },
+    {
+      "entropy": 6.051935148239136,
+      "epoch": 1.6114333057166528,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000491959514625684,
+      "loss": 6.0177,
+      "mean_token_accuracy": 0.13845598921179772,
+      "num_tokens": 3547302.0,
+      "step": 1945
+    },
+    {
+      "entropy": 5.956210565567017,
+      "epoch": 1.6155758077879039,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00049187463216144,
+      "loss": 5.9024,
+      "mean_token_accuracy": 0.145584287494421,
+      "num_tokens": 3556087.0,
+      "step": 1950
+    },
+    {
+      "entropy": 6.046857452392578,
+      "epoch": 1.619718309859155,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.000491789312237363,
+      "loss": 5.9857,
+      "mean_token_accuracy": 0.13579782098531723,
+      "num_tokens": 3566235.0,
+      "step": 1955
+    },
+    {
+      "entropy": 5.983897924423218,
+      "epoch": 1.623860811930406,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004917035550255528,
+      "loss": 5.899,
+      "mean_token_accuracy": 0.14092317298054696,
+      "num_tokens": 3574762.0,
+      "step": 1960
+    },
+    {
+      "entropy": 5.904513597488403,
+      "epoch": 1.628003314001657,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000491617360698991,
+      "loss": 5.8837,
+      "mean_token_accuracy": 0.139695380628109,
+      "num_tokens": 3583359.0,
+      "step": 1965
+    },
+    {
+      "entropy": 5.920687866210938,
+      "epoch": 1.6321458160729079,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004915307294315412,
+      "loss": 5.8505,
+      "mean_token_accuracy": 0.14011457338929176,
+      "num_tokens": 3591436.0,
+      "step": 1970
+    },
+    {
+      "entropy": 5.926318550109864,
+      "epoch": 1.636288318144159,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.000491443661397948,
+      "loss": 5.9355,
+      "mean_token_accuracy": 0.13468224480748175,
+      "num_tokens": 3601054.0,
+      "step": 1975
+    },
+    {
+      "entropy": 5.974443817138672,
+      "epoch": 1.64043082021541,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004913561567738368,
+      "loss": 5.9014,
+      "mean_token_accuracy": 0.1383673779666424,
+      "num_tokens": 3610641.0,
+      "step": 1980
+    },
+    {
+      "entropy": 5.912512636184692,
+      "epoch": 1.6445733222866612,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004912682157357146,
+      "loss": 5.8447,
+      "mean_token_accuracy": 0.13975749984383584,
+      "num_tokens": 3619351.0,
+      "step": 1985
+    },
+    {
+      "entropy": 5.853101539611816,
+      "epoch": 1.6487158243579123,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004911798384609675,
+      "loss": 5.8306,
+      "mean_token_accuracy": 0.1472959376871586,
+      "num_tokens": 3627341.0,
+      "step": 1990
+    },
+    {
+      "entropy": 5.942045879364014,
+      "epoch": 1.6528583264291632,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004910910251278626,
+      "loss": 5.8918,
+      "mean_token_accuracy": 0.14801610112190247,
+      "num_tokens": 3637132.0,
+      "step": 1995
+    },
+    {
+      "entropy": 5.919465351104736,
+      "epoch": 1.6570008285004143,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004910017759155458,
+      "loss": 5.9479,
+      "mean_token_accuracy": 0.1400071859359741,
+      "num_tokens": 3646196.0,
+      "step": 2000
+    },
+    {
+      "epoch": 1.6570008285004143,
+      "eval_entropy": 5.874394122979789,
+      "eval_loss": 6.1148576736450195,
+      "eval_mean_token_accuracy": 0.1363023624046525,
+      "eval_num_tokens": 3646196.0,
+      "eval_runtime": 2.7574,
+      "eval_samples_per_second": 1358.871,
+      "eval_steps_per_second": 170.085,
+      "step": 2000
+    },
+    {
+      "entropy": 5.967284250259399,
+      "epoch": 1.6611433305716652,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004909120910040427,
+      "loss": 5.8839,
+      "mean_token_accuracy": 0.1461731344461441,
+      "num_tokens": 3654658.0,
+      "step": 2005
+    },
+    {
+      "entropy": 6.045904684066772,
+      "epoch": 1.6652858326429163,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004908219705742574,
+      "loss": 6.1605,
+      "mean_token_accuracy": 0.13489469960331918,
+      "num_tokens": 3664509.0,
+      "step": 2010
+    },
+    {
+      "entropy": 6.002130031585693,
+      "epoch": 1.6694283347141674,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004907314148079727,
+      "loss": 5.8567,
+      "mean_token_accuracy": 0.1425239197909832,
+      "num_tokens": 3672983.0,
+      "step": 2015
+    },
+    {
+      "entropy": 5.708412790298462,
+      "epoch": 1.6735708367854185,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004906404238878496,
+      "loss": 5.7221,
+      "mean_token_accuracy": 0.14639501571655272,
+      "num_tokens": 3681196.0,
+      "step": 2020
+    },
+    {
+      "entropy": 5.97982873916626,
+      "epoch": 1.6777133388566694,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004905489979974265,
+      "loss": 5.9098,
+      "mean_token_accuracy": 0.14081615954637527,
+      "num_tokens": 3690077.0,
+      "step": 2025
+    },
+    {
+      "entropy": 5.942774772644043,
+      "epoch": 1.6818558409279205,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004904571373211197,
+      "loss": 5.9906,
+      "mean_token_accuracy": 0.13563016131520272,
+      "num_tokens": 3700121.0,
+      "step": 2030
+    },
+    {
+      "entropy": 5.897730588912964,
+      "epoch": 1.6859983429991714,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000490364842044222,
+      "loss": 5.8074,
+      "mean_token_accuracy": 0.14530285224318504,
+      "num_tokens": 3709618.0,
+      "step": 2035
+    },
+    {
+      "entropy": 5.954602289199829,
+      "epoch": 1.6901408450704225,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004902721123529031,
+      "loss": 5.9869,
+      "mean_token_accuracy": 0.12953415215015412,
+      "num_tokens": 3719570.0,
+      "step": 2040
+    },
+    {
+      "entropy": 6.074023342132568,
+      "epoch": 1.6942833471416736,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000490178948434209,
+      "loss": 5.9267,
+      "mean_token_accuracy": 0.14249598532915114,
+      "num_tokens": 3729354.0,
+      "step": 2045
+    },
+    {
+      "entropy": 5.833365964889526,
+      "epoch": 1.6984258492129247,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004900853504760614,
+      "loss": 5.8409,
+      "mean_token_accuracy": 0.14450331926345825,
+      "num_tokens": 3738453.0,
+      "step": 2050
+    },
+    {
+      "entropy": 5.888468265533447,
+      "epoch": 1.7025683512841756,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004899913186672577,
+      "loss": 5.8165,
+      "mean_token_accuracy": 0.14293194860219954,
+      "num_tokens": 3747815.0,
+      "step": 2055
+    },
+    {
+      "entropy": 5.914711236953735,
+      "epoch": 1.7067108533554267,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004898968531974702,
+      "loss": 5.9249,
+      "mean_token_accuracy": 0.14642315953969956,
+      "num_tokens": 3757298.0,
+      "step": 2060
+    },
+    {
+      "entropy": 5.978992033004761,
+      "epoch": 1.7108533554266776,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004898019542572462,
+      "loss": 5.9124,
+      "mean_token_accuracy": 0.14719650894403458,
+      "num_tokens": 3765939.0,
+      "step": 2065
+    },
+    {
+      "entropy": 6.005469894409179,
+      "epoch": 1.7149958574979287,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004897066220380073,
+      "loss": 5.933,
+      "mean_token_accuracy": 0.13779435828328132,
+      "num_tokens": 3775160.0,
+      "step": 2070
+    },
+    {
+      "entropy": 5.921374797821045,
+      "epoch": 1.7191383595691798,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004896108567320489,
+      "loss": 5.831,
+      "mean_token_accuracy": 0.14186858981847764,
+      "num_tokens": 3785181.0,
+      "step": 2075
+    },
+    {
+      "entropy": 5.972924375534058,
+      "epoch": 1.723280861640431,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048951465853254,
+      "loss": 5.9444,
+      "mean_token_accuracy": 0.14323145076632499,
+      "num_tokens": 3794531.0,
+      "step": 2080
+    },
+    {
+      "entropy": 5.953138160705566,
+      "epoch": 1.7274233637116818,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004894180276335231,
+      "loss": 5.934,
+      "mean_token_accuracy": 0.1396125227212906,
+      "num_tokens": 3804602.0,
+      "step": 2085
+    },
+    {
+      "entropy": 5.9721667766571045,
+      "epoch": 1.731565865782933,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004893209642299132,
+      "loss": 5.97,
+      "mean_token_accuracy": 0.1395590640604496,
+      "num_tokens": 3813394.0,
+      "step": 2090
+    },
+    {
+      "entropy": 5.97849326133728,
+      "epoch": 1.7357083678541838,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004892234685174976,
+      "loss": 5.962,
+      "mean_token_accuracy": 0.13808128908276557,
+      "num_tokens": 3821604.0,
+      "step": 2095
+    },
+    {
+      "entropy": 5.967495775222778,
+      "epoch": 1.739850869925435,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004891255406929359,
+      "loss": 5.9564,
+      "mean_token_accuracy": 0.13652343899011612,
+      "num_tokens": 3831977.0,
+      "step": 2100
+    },
+    {
+      "entropy": 5.98737063407898,
+      "epoch": 1.743993371996686,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004890271809537595,
+      "loss": 5.9017,
+      "mean_token_accuracy": 0.1393343411386013,
+      "num_tokens": 3840684.0,
+      "step": 2105
+    },
+    {
+      "entropy": 5.870862340927124,
+      "epoch": 1.7481358740679371,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004889283894983704,
+      "loss": 5.8147,
+      "mean_token_accuracy": 0.1389534741640091,
+      "num_tokens": 3851147.0,
+      "step": 2110
+    },
+    {
+      "entropy": 6.002704238891601,
+      "epoch": 1.752278376139188,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000488829166526042,
+      "loss": 5.9838,
+      "mean_token_accuracy": 0.13991605415940284,
+      "num_tokens": 3859881.0,
+      "step": 2115
+    },
+    {
+      "entropy": 5.948231506347656,
+      "epoch": 1.7564208782104391,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004887295122369176,
+      "loss": 6.0107,
+      "mean_token_accuracy": 0.13371825441718102,
+      "num_tokens": 3870151.0,
+      "step": 2120
+    },
+    {
+      "entropy": 5.99525203704834,
+      "epoch": 1.76056338028169,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.000488629426832011,
+      "loss": 5.9313,
+      "mean_token_accuracy": 0.13850879445672035,
+      "num_tokens": 3878398.0,
+      "step": 2125
+    },
+    {
+      "entropy": 5.924004030227661,
+      "epoch": 1.7647058823529411,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004885289105132054,
+      "loss": 5.8893,
+      "mean_token_accuracy": 0.14114601090550422,
+      "num_tokens": 3888007.0,
+      "step": 2130
+    },
+    {
+      "entropy": 5.930246257781983,
+      "epoch": 1.7688483844241922,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004884279634832532,
+      "loss": 5.8728,
+      "mean_token_accuracy": 0.14278061985969542,
+      "num_tokens": 3896945.0,
+      "step": 2135
+    },
+    {
+      "entropy": 5.940092372894287,
+      "epoch": 1.7729908864954433,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004883265859457754,
+      "loss": 5.8905,
+      "mean_token_accuracy": 0.1457919418811798,
+      "num_tokens": 3906049.0,
+      "step": 2140
+    },
+    {
+      "entropy": 5.866062164306641,
+      "epoch": 1.7771333885666944,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048822477810526186,
+      "loss": 5.8422,
+      "mean_token_accuracy": 0.1388966679573059,
+      "num_tokens": 3915050.0,
+      "step": 2145
+    },
+    {
+      "entropy": 5.966696119308471,
+      "epoch": 1.7812758906379453,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00048812254016706994,
+      "loss": 5.9205,
+      "mean_token_accuracy": 0.14728582575917243,
+      "num_tokens": 3924031.0,
+      "step": 2150
+    },
+    {
+      "entropy": 5.915832757949829,
+      "epoch": 1.7854183927091962,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004880198723374247,
+      "loss": 5.9776,
+      "mean_token_accuracy": 0.14149753525853156,
+      "num_tokens": 3933756.0,
+      "step": 2155
+    },
+    {
+      "entropy": 5.959774684906006,
+      "epoch": 1.7895608947804473,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048791677482341845,
+      "loss": 5.9592,
+      "mean_token_accuracy": 0.13750381171703338,
+      "num_tokens": 3943129.0,
+      "step": 2160
+    },
+    {
+      "entropy": 5.881538438796997,
+      "epoch": 1.7937033968516984,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048781324783301016,
+      "loss": 5.7912,
+      "mean_token_accuracy": 0.14508036673069,
+      "num_tokens": 3951494.0,
+      "step": 2165
+    },
+    {
+      "entropy": 5.946735525131226,
+      "epoch": 1.7978458989229495,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048770929157502505,
+      "loss": 5.9565,
+      "mean_token_accuracy": 0.143115097284317,
+      "num_tokens": 3960588.0,
+      "step": 2170
+    },
+    {
+      "entropy": 5.9805809497833256,
+      "epoch": 1.8019884009942007,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004876049062591543,
+      "loss": 5.9226,
+      "mean_token_accuracy": 0.13506680428981782,
+      "num_tokens": 3970135.0,
+      "step": 2175
+    },
+    {
+      "entropy": 5.950060653686523,
+      "epoch": 1.8061309030654515,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048750009209595443,
+      "loss": 5.9042,
+      "mean_token_accuracy": 0.13944360390305519,
+      "num_tokens": 3979569.0,
+      "step": 2180
+    },
+    {
+      "entropy": 5.88271656036377,
+      "epoch": 1.8102734051367024,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048739484929684714,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.144245932251215,
+      "num_tokens": 3987885.0,
+      "step": 2185
+    },
+    {
+      "entropy": 5.933677864074707,
+      "epoch": 1.8144159072079535,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048728917807411856,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.13125594183802605,
+      "num_tokens": 3997726.0,
+      "step": 2190
+    },
+    {
+      "entropy": 6.008653068542481,
+      "epoch": 1.8185584092792046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004871830786409191,
+      "loss": 5.8436,
+      "mean_token_accuracy": 0.14898036047816277,
+      "num_tokens": 4006437.0,
+      "step": 2195
+    },
+    {
+      "entropy": 5.856683444976807,
+      "epoch": 1.8227009113504558,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00048707655121126296,
+      "loss": 5.8124,
+      "mean_token_accuracy": 0.14927435666322708,
+      "num_tokens": 4015326.0,
+      "step": 2200
+    },
+    {
+      "entropy": 5.924995994567871,
+      "epoch": 1.8268434134217069,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048696959600002767,
+      "loss": 5.8722,
+      "mean_token_accuracy": 0.14032577201724053,
+      "num_tokens": 4024294.0,
+      "step": 2205
+    },
+    {
+      "entropy": 5.881852293014527,
+      "epoch": 1.8309859154929577,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048686221322295347,
+      "loss": 5.9028,
+      "mean_token_accuracy": 0.14340249821543694,
+      "num_tokens": 4033341.0,
+      "step": 2210
+    },
+    {
+      "entropy": 5.951443433761597,
+      "epoch": 1.8351284175642086,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048675440309664314,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.1474481076002121,
+      "num_tokens": 4042446.0,
+      "step": 2215
+    },
+    {
+      "entropy": 5.832607173919678,
+      "epoch": 1.8392709196354597,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00048664616583856166,
+      "loss": 5.8924,
+      "mean_token_accuracy": 0.13868724405765534,
+      "num_tokens": 4051849.0,
+      "step": 2220
+    },
+    {
+      "entropy": 6.026660823822022,
+      "epoch": 1.8434134217067109,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00048653750166703516,
+      "loss": 5.9855,
+      "mean_token_accuracy": 0.1381051518023014,
+      "num_tokens": 4061075.0,
+      "step": 2225
+    },
+    {
+      "entropy": 5.976817560195923,
+      "epoch": 1.847555923777962,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004864284108012513,
+      "loss": 5.9524,
+      "mean_token_accuracy": 0.13498588278889656,
+      "num_tokens": 4071022.0,
+      "step": 2230
+    },
+    {
+      "entropy": 5.884273719787598,
+      "epoch": 1.851698425849213,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004863188934612583,
+      "loss": 5.854,
+      "mean_token_accuracy": 0.1435965158045292,
+      "num_tokens": 4080728.0,
+      "step": 2235
+    },
+    {
+      "entropy": 5.8848789691925045,
+      "epoch": 1.855840927920464,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004862089498679645,
+      "loss": 5.8121,
+      "mean_token_accuracy": 0.15146355628967284,
+      "num_tokens": 4088712.0,
+      "step": 2240
+    },
+    {
+      "entropy": 5.904728364944458,
+      "epoch": 1.8599834299917148,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004860985802431383,
+      "loss": 5.8445,
+      "mean_token_accuracy": 0.14107747822999955,
+      "num_tokens": 4097488.0,
+      "step": 2245
+    },
+    {
+      "entropy": 5.815548610687256,
+      "epoch": 1.864125932062966,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004859877848094071,
+      "loss": 5.8328,
+      "mean_token_accuracy": 0.14647450745105745,
+      "num_tokens": 4106485.0,
+      "step": 2250
+    },
+    {
+      "entropy": 5.969652986526489,
+      "epoch": 1.868268434134217,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004858765637902575,
+      "loss": 5.8016,
+      "mean_token_accuracy": 0.14588006138801574,
+      "num_tokens": 4115806.0,
+      "step": 2255
+    },
+    {
+      "entropy": 5.982199335098267,
+      "epoch": 1.8724109362054682,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004857649174100344,
+      "loss": 5.9353,
+      "mean_token_accuracy": 0.14478921219706536,
+      "num_tokens": 4124636.0,
+      "step": 2260
+    },
+    {
+      "entropy": 5.869907474517822,
+      "epoch": 1.8765534382767193,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.0004856528458939409,
+      "loss": 5.8948,
+      "mean_token_accuracy": 0.13403457626700402,
+      "num_tokens": 4133876.0,
+      "step": 2265
+    },
+    {
+      "entropy": 5.836872100830078,
+      "epoch": 1.8806959403479702,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004855403494680373,
+      "loss": 5.8159,
+      "mean_token_accuracy": 0.14096100330352784,
+      "num_tokens": 4143555.0,
+      "step": 2270
+    },
+    {
+      "entropy": 5.871636962890625,
+      "epoch": 1.884838442419221,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00048542742835924133,
+      "loss": 5.7773,
+      "mean_token_accuracy": 0.14253296032547952,
+      "num_tokens": 4153007.0,
+      "step": 2275
+    },
+    {
+      "entropy": 5.766701364517212,
+      "epoch": 1.8889809444904722,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048531408279532705,
+      "loss": 5.8171,
+      "mean_token_accuracy": 0.14552054405212403,
+      "num_tokens": 4162107.0,
+      "step": 2280
+    },
+    {
+      "entropy": 5.884533357620239,
+      "epoch": 1.8931234465617233,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048520031300492507,
+      "loss": 5.8208,
+      "mean_token_accuracy": 0.14203491136431695,
+      "num_tokens": 4170920.0,
+      "step": 2285
+    },
+    {
+      "entropy": 5.9367118835449215,
+      "epoch": 1.8972659486329744,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048508611921752124,
+      "loss": 5.8366,
+      "mean_token_accuracy": 0.14547978863120078,
+      "num_tokens": 4180226.0,
+      "step": 2290
+    },
+    {
+      "entropy": 5.804201984405518,
+      "epoch": 1.9014084507042255,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00048497150166345703,
+      "loss": 5.7799,
+      "mean_token_accuracy": 0.14307984560728074,
+      "num_tokens": 4189283.0,
+      "step": 2295
+    },
+    {
+      "entropy": 5.833661937713623,
+      "epoch": 1.9055509527754764,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004848564605739287,
+      "loss": 5.8181,
+      "mean_token_accuracy": 0.14286661818623542,
+      "num_tokens": 4199017.0,
+      "step": 2300
+    },
+    {
+      "entropy": 5.985245418548584,
+      "epoch": 1.9096934548467275,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048474099618098644,
+      "loss": 5.9557,
+      "mean_token_accuracy": 0.13776218444108962,
+      "num_tokens": 4207756.0,
+      "step": 2305
+    },
+    {
+      "entropy": 5.926583385467529,
+      "epoch": 1.9138359569179784,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004846251087175348,
+      "loss": 5.8467,
+      "mean_token_accuracy": 0.14270823299884797,
+      "num_tokens": 4216721.0,
+      "step": 2310
+    },
+    {
+      "entropy": 5.816466999053955,
+      "epoch": 1.9179784589892295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004845087984173312,
+      "loss": 5.8214,
+      "mean_token_accuracy": 0.14952016696333886,
+      "num_tokens": 4225596.0,
+      "step": 2315
+    },
+    {
+      "entropy": 5.975145244598389,
+      "epoch": 1.9221209610604806,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048439206551498644,
+      "loss": 5.8881,
+      "mean_token_accuracy": 0.14604572355747222,
+      "num_tokens": 4234500.0,
+      "step": 2320
+    },
+    {
+      "entropy": 5.83410792350769,
+      "epoch": 1.9262634631317317,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004842749102459635,
+      "loss": 5.8331,
+      "mean_token_accuracy": 0.14477182626724244,
+      "num_tokens": 4243240.0,
+      "step": 2325
+    },
+    {
+      "entropy": 5.799895906448365,
+      "epoch": 1.9304059652029826,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048415733284657727,
+      "loss": 5.8249,
+      "mean_token_accuracy": 0.14724751114845275,
+      "num_tokens": 4251892.0,
+      "step": 2330
+    },
+    {
+      "entropy": 5.914888668060303,
+      "epoch": 1.9345484672742337,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004840393335539943,
+      "loss": 5.784,
+      "mean_token_accuracy": 0.14537777602672577,
+      "num_tokens": 4261447.0,
+      "step": 2335
+    },
+    {
+      "entropy": 5.93565788269043,
+      "epoch": 1.9386909693454846,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048392091260623195,
+      "loss": 5.9202,
+      "mean_token_accuracy": 0.1471864774823189,
+      "num_tokens": 4270120.0,
+      "step": 2340
+    },
+    {
+      "entropy": 5.905978488922119,
+      "epoch": 1.9428334714167357,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048380207024215836,
+      "loss": 5.7991,
+      "mean_token_accuracy": 0.1482786476612091,
+      "num_tokens": 4278300.0,
+      "step": 2345
+    },
+    {
+      "entropy": 5.905145263671875,
+      "epoch": 1.9469759734879868,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00048368280670149145,
+      "loss": 5.8487,
+      "mean_token_accuracy": 0.1461447760462761,
+      "num_tokens": 4286454.0,
+      "step": 2350
+    },
+    {
+      "entropy": 5.805000495910645,
+      "epoch": 1.951118475559238,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004835631222247989,
+      "loss": 5.7243,
+      "mean_token_accuracy": 0.15050614029169082,
+      "num_tokens": 4294752.0,
+      "step": 2355
+    },
+    {
+      "entropy": 5.907592630386352,
+      "epoch": 1.9552609776304888,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00048344301705349735,
+      "loss": 5.7974,
+      "mean_token_accuracy": 0.14830030649900436,
+      "num_tokens": 4303195.0,
+      "step": 2360
+    },
+    {
+      "entropy": 5.841587924957276,
+      "epoch": 1.95940347970174,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048332249142985195,
+      "loss": 5.9211,
+      "mean_token_accuracy": 0.1373597078025341,
+      "num_tokens": 4311961.0,
+      "step": 2365
+    },
+    {
+      "entropy": 5.900353670120239,
+      "epoch": 1.9635459817729908,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004832015455969763,
+      "loss": 5.7748,
+      "mean_token_accuracy": 0.13879901468753814,
+      "num_tokens": 4322267.0,
+      "step": 2370
+    },
+    {
+      "entropy": 5.774641275405884,
+      "epoch": 1.9676884838442419,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048308017979883114,
+      "loss": 5.8838,
+      "mean_token_accuracy": 0.1426581546664238,
+      "num_tokens": 4330584.0,
+      "step": 2375
+    },
+    {
+      "entropy": 5.840176010131836,
+      "epoch": 1.971830985915493,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048295839428022454,
+      "loss": 5.7215,
+      "mean_token_accuracy": 0.14949245899915695,
+      "num_tokens": 4339215.0,
+      "step": 2380
+    },
+    {
+      "entropy": 5.869688034057617,
+      "epoch": 1.975973487986744,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00048283618928681127,
+      "loss": 5.7418,
+      "mean_token_accuracy": 0.1501791574060917,
+      "num_tokens": 4347711.0,
+      "step": 2385
+    },
+    {
+      "entropy": 5.764533996582031,
+      "epoch": 1.980115990057995,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004827135650650923,
+      "loss": 5.7445,
+      "mean_token_accuracy": 0.14758301600813867,
+      "num_tokens": 4356982.0,
+      "step": 2390
+    },
+    {
+      "entropy": 5.770398235321045,
+      "epoch": 1.984258492129246,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004825905218624139,
+      "loss": 5.7696,
+      "mean_token_accuracy": 0.14773683473467827,
+      "num_tokens": 4365378.0,
+      "step": 2395
+    },
+    {
+      "entropy": 5.9908288478851315,
+      "epoch": 1.988400994200497,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048246705992696756,
+      "loss": 5.8174,
+      "mean_token_accuracy": 0.14142358154058457,
+      "num_tokens": 4374007.0,
+      "step": 2400
+    },
+    {
+      "entropy": 5.9741987705230715,
+      "epoch": 1.992543496271748,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048234317950778975,
+      "loss": 5.9346,
+      "mean_token_accuracy": 0.1409923940896988,
+      "num_tokens": 4383909.0,
+      "step": 2405
+    },
+    {
+      "entropy": 5.967488718032837,
+      "epoch": 1.9966859983429992,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004822188808547607,
+      "loss": 5.9967,
+      "mean_token_accuracy": 0.13560240790247918,
+      "num_tokens": 4393145.0,
+      "step": 2410
+    },
+    {
+      "entropy": 5.751282596588135,
+      "epoch": 2.0008285004142503,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004820941642186043,
+      "loss": 5.7146,
+      "mean_token_accuracy": 0.14043126851320267,
+      "num_tokens": 4402024.0,
+      "step": 2415
+    },
+    {
+      "entropy": 5.91456356048584,
+      "epoch": 2.0049710024855014,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004819690298508879,
+      "loss": 5.5395,
+      "mean_token_accuracy": 0.1603303700685501,
+      "num_tokens": 4411377.0,
+      "step": 2420
+    },
+    {
+      "entropy": 5.758482313156128,
+      "epoch": 2.009113504556752,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048184347800402083,
+      "loss": 5.4299,
+      "mean_token_accuracy": 0.16564757078886033,
+      "num_tokens": 4419781.0,
+      "step": 2425
+    },
+    {
+      "entropy": 5.727555131912231,
+      "epoch": 2.013256006628003,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004817175089312551,
+      "loss": 5.4154,
+      "mean_token_accuracy": 0.16400155574083328,
+      "num_tokens": 4428427.0,
+      "step": 2430
+    },
+    {
+      "entropy": 5.749885892868042,
+      "epoch": 2.0173985086992543,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048159112288668403,
+      "loss": 5.4586,
+      "mean_token_accuracy": 0.15933601409196854,
+      "num_tokens": 4438156.0,
+      "step": 2435
+    },
+    {
+      "entropy": 5.876013088226318,
+      "epoch": 2.0215410107705054,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00048146432012524215,
+      "loss": 5.4819,
+      "mean_token_accuracy": 0.16306492537260056,
+      "num_tokens": 4446342.0,
+      "step": 2440
+    },
+    {
+      "entropy": 5.738983201980591,
+      "epoch": 2.0256835128417565,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00048133710090270446,
+      "loss": 5.5229,
+      "mean_token_accuracy": 0.1542331963777542,
+      "num_tokens": 4455582.0,
+      "step": 2445
+    },
+    {
+      "entropy": 5.815389633178711,
+      "epoch": 2.0298260149130076,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048120946547568596,
+      "loss": 5.5375,
+      "mean_token_accuracy": 0.15604802072048188,
+      "num_tokens": 4464518.0,
+      "step": 2450
+    },
+    {
+      "entropy": 5.927202749252319,
+      "epoch": 2.0339685169842583,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00048108141410164133,
+      "loss": 5.6588,
+      "mean_token_accuracy": 0.14534952044486998,
+      "num_tokens": 4475031.0,
+      "step": 2455
+    },
+    {
+      "entropy": 5.8722837448120115,
+      "epoch": 2.0381110190555094,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004809529470388642,
+      "loss": 5.5396,
+      "mean_token_accuracy": 0.1577153742313385,
+      "num_tokens": 4484609.0,
+      "step": 2460
+    },
+    {
+      "entropy": 5.787671709060669,
+      "epoch": 2.0422535211267605,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004808240645464866,
+      "loss": 5.5698,
+      "mean_token_accuracy": 0.15477177649736404,
+      "num_tokens": 4494238.0,
+      "step": 2465
+    },
+    {
+      "entropy": 5.684235668182373,
+      "epoch": 2.0463960231980116,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004806947668844787,
+      "loss": 5.4573,
+      "mean_token_accuracy": 0.16172746568918228,
+      "num_tokens": 4503258.0,
+      "step": 2470
+    },
+    {
+      "entropy": 5.786364412307739,
+      "epoch": 2.0505385252692627,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048056505431364794,
+      "loss": 5.5091,
+      "mean_token_accuracy": 0.15975141078233718,
+      "num_tokens": 4512071.0,
+      "step": 2475
+    },
+    {
+      "entropy": 5.736668491363526,
+      "epoch": 2.054681027340514,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00048043492709563877,
+      "loss": 5.3461,
+      "mean_token_accuracy": 0.17059434503316878,
+      "num_tokens": 4520219.0,
+      "step": 2480
+    },
+    {
+      "entropy": 5.672813034057617,
+      "epoch": 2.0588235294117645,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048030438549293193,
+      "loss": 5.5568,
+      "mean_token_accuracy": 0.15284566581249237,
+      "num_tokens": 4529386.0,
+      "step": 2485
+    },
+    {
+      "entropy": 5.830966377258301,
+      "epoch": 2.0629660314830156,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00048017342976884424,
+      "loss": 5.5638,
+      "mean_token_accuracy": 0.15199215039610864,
+      "num_tokens": 4538860.0,
+      "step": 2490
+    },
+    {
+      "entropy": 5.761076402664185,
+      "epoch": 2.0671085335542667,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048004206018752773,
+      "loss": 5.5299,
+      "mean_token_accuracy": 0.15335657596588134,
+      "num_tokens": 4547842.0,
+      "step": 2495
+    },
+    {
+      "entropy": 5.733208799362183,
+      "epoch": 2.071251035625518,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047991027701396895,
+      "loss": 5.5026,
+      "mean_token_accuracy": 0.15411428660154342,
+      "num_tokens": 4556238.0,
+      "step": 2500
+    },
+    {
+      "epoch": 2.071251035625518,
+      "eval_entropy": 5.642364594473768,
+      "eval_loss": 6.032641410827637,
+      "eval_mean_token_accuracy": 0.1416530203399882,
+      "eval_num_tokens": 4556238.0,
+      "eval_runtime": 2.7817,
+      "eval_samples_per_second": 1347.034,
+      "eval_steps_per_second": 168.604,
+      "step": 2500
+    },
+    {
+      "entropy": 5.732073068618774,
+      "epoch": 2.075393537696769,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004797780805139892,
+      "loss": 5.5069,
+      "mean_token_accuracy": 0.1587075412273407,
+      "num_tokens": 4565684.0,
+      "step": 2505
+    },
+    {
+      "entropy": 5.722462224960327,
+      "epoch": 2.07953603976802,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004796454709542432,
+      "loss": 5.467,
+      "mean_token_accuracy": 0.1590041533112526,
+      "num_tokens": 4575001.0,
+      "step": 2510
+    },
+    {
+      "entropy": 5.797696113586426,
+      "epoch": 2.083678541839271,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004795124486022189,
+      "loss": 5.5732,
+      "mean_token_accuracy": 0.15362634360790253,
+      "num_tokens": 4584128.0,
+      "step": 2515
+    },
+    {
+      "entropy": 5.711380529403686,
+      "epoch": 2.087821043910522,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047937901372623694,
+      "loss": 5.4191,
+      "mean_token_accuracy": 0.16894411891698838,
+      "num_tokens": 4593011.0,
+      "step": 2520
+    },
+    {
+      "entropy": 5.688450145721435,
+      "epoch": 2.091963545981773,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00047924516659545005,
+      "loss": 5.4668,
+      "mean_token_accuracy": 0.16164053976535797,
+      "num_tokens": 4602676.0,
+      "step": 2525
+    },
+    {
+      "entropy": 5.79151463508606,
+      "epoch": 2.096106048053024,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004791109074798425,
+      "loss": 5.5522,
+      "mean_token_accuracy": 0.15433578938245773,
+      "num_tokens": 4611915.0,
+      "step": 2530
+    },
+    {
+      "entropy": 5.748647403717041,
+      "epoch": 2.100248550124275,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004789762366502296,
+      "loss": 5.5184,
+      "mean_token_accuracy": 0.15959300100803375,
+      "num_tokens": 4621396.0,
+      "step": 2535
+    },
+    {
+      "entropy": 5.7374598503112795,
+      "epoch": 2.1043910521955262,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004788411543782571,
+      "loss": 5.5201,
+      "mean_token_accuracy": 0.1591552659869194,
+      "num_tokens": 4630533.0,
+      "step": 2540
+    },
+    {
+      "entropy": 5.678498649597168,
+      "epoch": 2.108533554266777,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004787056609364008,
+      "loss": 5.4599,
+      "mean_token_accuracy": 0.1542729303240776,
+      "num_tokens": 4639023.0,
+      "step": 2545
+    },
+    {
+      "entropy": 5.711474943161011,
+      "epoch": 2.112676056338028,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004785697565979657,
+      "loss": 5.4732,
+      "mean_token_accuracy": 0.15900285094976424,
+      "num_tokens": 4647975.0,
+      "step": 2550
+    },
+    {
+      "entropy": 5.72883243560791,
+      "epoch": 2.116818558409279,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004784334416370857,
+      "loss": 5.498,
+      "mean_token_accuracy": 0.15594277828931807,
+      "num_tokens": 4657555.0,
+      "step": 2555
+    },
+    {
+      "entropy": 5.745093822479248,
+      "epoch": 2.1209610604805302,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004782967163287231,
+      "loss": 5.4193,
+      "mean_token_accuracy": 0.16100153774023057,
+      "num_tokens": 4667228.0,
+      "step": 2560
+    },
+    {
+      "entropy": 5.716836738586426,
+      "epoch": 2.1251035625517813,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047815958094866756,
+      "loss": 5.4957,
+      "mean_token_accuracy": 0.1513967014849186,
+      "num_tokens": 4676723.0,
+      "step": 2565
+    },
+    {
+      "entropy": 5.7276163578033445,
+      "epoch": 2.1292460646230325,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004780220357735363,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.15479894131422042,
+      "num_tokens": 4686241.0,
+      "step": 2570
+    },
+    {
+      "entropy": 5.764811038970947,
+      "epoch": 2.1333885666942836,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047788408108077294,
+      "loss": 5.5404,
+      "mean_token_accuracy": 0.1561874568462372,
+      "num_tokens": 4695195.0,
+      "step": 2575
+    },
+    {
+      "entropy": 5.739376497268677,
+      "epoch": 2.1375310687655342,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004777457171486471,
+      "loss": 5.5871,
+      "mean_token_accuracy": 0.15551834553480148,
+      "num_tokens": 4704716.0,
+      "step": 2580
+    },
+    {
+      "entropy": 5.769967555999756,
+      "epoch": 2.1416735708367853,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004776069442562541,
+      "loss": 5.5562,
+      "mean_token_accuracy": 0.15339450240135194,
+      "num_tokens": 4713720.0,
+      "step": 2585
+    },
+    {
+      "entropy": 5.733342504501342,
+      "epoch": 2.1458160729080364,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004774677626835138,
+      "loss": 5.5366,
+      "mean_token_accuracy": 0.15301723331212996,
+      "num_tokens": 4722428.0,
+      "step": 2590
+    },
+    {
+      "entropy": 5.787648677825928,
+      "epoch": 2.1499585749792876,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00047732817271117084,
+      "loss": 5.5365,
+      "mean_token_accuracy": 0.15334974452853203,
+      "num_tokens": 4732395.0,
+      "step": 2595
+    },
+    {
+      "entropy": 5.773520803451538,
+      "epoch": 2.1541010770505387,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004771881746207934,
+      "loss": 5.5206,
+      "mean_token_accuracy": 0.15674114525318145,
+      "num_tokens": 4741071.0,
+      "step": 2600
+    },
+    {
+      "entropy": 5.607013797760009,
+      "epoch": 2.1582435791217898,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047704776869477285,
+      "loss": 5.5153,
+      "mean_token_accuracy": 0.15076877027750016,
+      "num_tokens": 4749876.0,
+      "step": 2605
+    },
+    {
+      "entropy": 5.784313154220581,
+      "epoch": 2.1623860811930404,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00047690695521632344,
+      "loss": 5.4669,
+      "mean_token_accuracy": 0.16002854704856873,
+      "num_tokens": 4758721.0,
+      "step": 2610
+    },
+    {
+      "entropy": 5.6919313907623295,
+      "epoch": 2.1665285832642915,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047676573446948114,
+      "loss": 5.4832,
+      "mean_token_accuracy": 0.15925751626491547,
+      "num_tokens": 4767162.0,
+      "step": 2615
+    },
+    {
+      "entropy": 5.71550760269165,
+      "epoch": 2.1706710853355426,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047662410673910376,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.1629578560590744,
+      "num_tokens": 4776397.0,
+      "step": 2620
+    },
+    {
+      "entropy": 5.665811157226562,
+      "epoch": 2.1748135874067938,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047648207231087,
+      "loss": 5.4579,
+      "mean_token_accuracy": 0.15894875824451446,
+      "num_tokens": 4784822.0,
+      "step": 2625
+    },
+    {
+      "entropy": 5.71003270149231,
+      "epoch": 2.178956089478045,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004763396314712786,
+      "loss": 5.5297,
+      "mean_token_accuracy": 0.15831661075353623,
+      "num_tokens": 4794272.0,
+      "step": 2630
+    },
+    {
+      "entropy": 5.64026665687561,
+      "epoch": 2.183098591549296,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004761967845076484,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.15510014593601226,
+      "num_tokens": 4804314.0,
+      "step": 2635
+    },
+    {
+      "entropy": 5.6847330093383786,
+      "epoch": 2.1872410936205466,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004760535317081174,
+      "loss": 5.4694,
+      "mean_token_accuracy": 0.15845878273248673,
+      "num_tokens": 4812685.0,
+      "step": 2640
+    },
+    {
+      "entropy": 5.715235567092895,
+      "epoch": 2.1913835956917977,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047590987336164207,
+      "loss": 5.5532,
+      "mean_token_accuracy": 0.1562129870057106,
+      "num_tokens": 4821761.0,
+      "step": 2645
+    },
+    {
+      "entropy": 5.741413831710815,
+      "epoch": 2.195526097763049,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00047576580975799705,
+      "loss": 5.5307,
+      "mean_token_accuracy": 0.1623195379972458,
+      "num_tokens": 4830515.0,
+      "step": 2650
+    },
+    {
+      "entropy": 5.782008934020996,
+      "epoch": 2.1996685998343,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004756213411877743,
+      "loss": 5.5059,
+      "mean_token_accuracy": 0.14879967421293258,
+      "num_tokens": 4840741.0,
+      "step": 2655
+    },
+    {
+      "entropy": 5.612497425079345,
+      "epoch": 2.203811101905551,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047547646794238277,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.16198884546756745,
+      "num_tokens": 4849571.0,
+      "step": 2660
+    },
+    {
+      "entropy": 5.689143991470337,
+      "epoch": 2.207953603976802,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047533119031404757,
+      "loss": 5.4138,
+      "mean_token_accuracy": 0.1696420982480049,
+      "num_tokens": 4857194.0,
+      "step": 2665
+    },
+    {
+      "entropy": 5.632621717453003,
+      "epoch": 2.212096106048053,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00047518550859580966,
+      "loss": 5.5074,
+      "mean_token_accuracy": 0.1592964008450508,
+      "num_tokens": 4865894.0,
+      "step": 2670
+    },
+    {
+      "entropy": 5.74289755821228,
+      "epoch": 2.216238608119304,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004750394230815249,
+      "loss": 5.5268,
+      "mean_token_accuracy": 0.15829544067382811,
+      "num_tokens": 4875131.0,
+      "step": 2675
+    },
+    {
+      "entropy": 5.670539522171021,
+      "epoch": 2.220381110190555,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047489293406586375,
+      "loss": 5.3777,
+      "mean_token_accuracy": 0.1620385766029358,
+      "num_tokens": 4884098.0,
+      "step": 2680
+    },
+    {
+      "entropy": 5.657269620895386,
+      "epoch": 2.224523612261806,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004747460418443106,
+      "loss": 5.4373,
+      "mean_token_accuracy": 0.15941016003489494,
+      "num_tokens": 4892963.0,
+      "step": 2685
+    },
+    {
+      "entropy": 5.690485191345215,
+      "epoch": 2.2286661143330573,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047459874671316305,
+      "loss": 5.4903,
+      "mean_token_accuracy": 0.15749651044607163,
+      "num_tokens": 4902097.0,
+      "step": 2690
+    },
+    {
+      "entropy": 5.608357000350952,
+      "epoch": 2.2328086164043084,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00047445104896953153,
+      "loss": 5.4015,
+      "mean_token_accuracy": 0.16532779037952422,
+      "num_tokens": 4910469.0,
+      "step": 2695
+    },
+    {
+      "entropy": 5.82715744972229,
+      "epoch": 2.236951118475559,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047430294891133846,
+      "loss": 5.6892,
+      "mean_token_accuracy": 0.1501491665840149,
+      "num_tokens": 4921024.0,
+      "step": 2700
+    },
+    {
+      "entropy": 5.749764776229858,
+      "epoch": 2.24109362054681,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004741544468373179,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15474629402160645,
+      "num_tokens": 4930297.0,
+      "step": 2705
+    },
+    {
+      "entropy": 5.687776947021485,
+      "epoch": 2.2452361226180613,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00047400554304701474,
+      "loss": 5.4692,
+      "mean_token_accuracy": 0.16049361675977708,
+      "num_tokens": 4938971.0,
+      "step": 2710
+    },
+    {
+      "entropy": 5.571053695678711,
+      "epoch": 2.2493786246893124,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047385623784078427,
+      "loss": 5.4899,
+      "mean_token_accuracy": 0.15803302526474,
+      "num_tokens": 4948531.0,
+      "step": 2715
+    },
+    {
+      "entropy": 5.787879133224488,
+      "epoch": 2.2535211267605635,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004737065315197913,
+      "loss": 5.5664,
+      "mean_token_accuracy": 0.1587745025753975,
+      "num_tokens": 4957430.0,
+      "step": 2720
+    },
+    {
+      "entropy": 5.720958280563354,
+      "epoch": 2.2576636288318146,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047355642438600987,
+      "loss": 5.5478,
+      "mean_token_accuracy": 0.16044806241989135,
+      "num_tokens": 4966681.0,
+      "step": 2725
+    },
+    {
+      "entropy": 5.638753175735474,
+      "epoch": 2.2618061309030653,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004734059167422225,
+      "loss": 5.4123,
+      "mean_token_accuracy": 0.1639780133962631,
+      "num_tokens": 4975327.0,
+      "step": 2730
+    },
+    {
+      "entropy": 5.634887552261352,
+      "epoch": 2.2659486329743164,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047325500889201956,
+      "loss": 5.4725,
+      "mean_token_accuracy": 0.16207436099648476,
+      "num_tokens": 4983741.0,
+      "step": 2735
+    },
+    {
+      "entropy": 5.673438644409179,
+      "epoch": 2.2700911350455675,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004731037011397986,
+      "loss": 5.5662,
+      "mean_token_accuracy": 0.15884149968624114,
+      "num_tokens": 4993171.0,
+      "step": 2740
+    },
+    {
+      "entropy": 5.752307653427124,
+      "epoch": 2.2742336371168186,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047295199379076403,
+      "loss": 5.6,
+      "mean_token_accuracy": 0.15322241187095642,
+      "num_tokens": 5002810.0,
+      "step": 2745
+    },
+    {
+      "entropy": 5.7073346138000485,
+      "epoch": 2.2783761391880697,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000472799887150926,
+      "loss": 5.4893,
+      "mean_token_accuracy": 0.15741414427757264,
+      "num_tokens": 5011875.0,
+      "step": 2750
+    },
+    {
+      "entropy": 5.679959297180176,
+      "epoch": 2.282518641259321,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004726473815271003,
+      "loss": 5.5349,
+      "mean_token_accuracy": 0.15855301022529603,
+      "num_tokens": 5020780.0,
+      "step": 2755
+    },
+    {
+      "entropy": 5.669374132156372,
+      "epoch": 2.286661143330572,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047249447722690747,
+      "loss": 5.4331,
+      "mean_token_accuracy": 0.16046710908412934,
+      "num_tokens": 5029896.0,
+      "step": 2760
+    },
+    {
+      "entropy": 5.652454280853272,
+      "epoch": 2.2908036454018226,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047234117455877215,
+      "loss": 5.4932,
+      "mean_token_accuracy": 0.1545606277883053,
+      "num_tokens": 5038956.0,
+      "step": 2765
+    },
+    {
+      "entropy": 5.639697694778443,
+      "epoch": 2.2949461474730737,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004721874738319225,
+      "loss": 5.4594,
+      "mean_token_accuracy": 0.17258906960487366,
+      "num_tokens": 5047005.0,
+      "step": 2770
+    },
+    {
+      "entropy": 5.655842065811157,
+      "epoch": 2.299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004720333753563898,
+      "loss": 5.5008,
+      "mean_token_accuracy": 0.15116662830114364,
+      "num_tokens": 5056475.0,
+      "step": 2775
+    },
+    {
+      "entropy": 5.704644584655762,
+      "epoch": 2.303231151615576,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00047187887944300747,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16439782381057738,
+      "num_tokens": 5064978.0,
+      "step": 2780
+    },
+    {
+      "entropy": 5.726413679122925,
+      "epoch": 2.307373653686827,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004717239864034107,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.15506226867437362,
+      "num_tokens": 5074235.0,
+      "step": 2785
+    },
+    {
+      "entropy": 5.662968683242798,
+      "epoch": 2.3115161557580777,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047156869655003554,
+      "loss": 5.4481,
+      "mean_token_accuracy": 0.16141191571950914,
+      "num_tokens": 5082386.0,
+      "step": 2790
+    },
+    {
+      "entropy": 5.631324100494385,
+      "epoch": 2.315658657829329,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047141301019611875,
+      "loss": 5.4164,
+      "mean_token_accuracy": 0.16636510640382768,
+      "num_tokens": 5090634.0,
+      "step": 2795
+    },
+    {
+      "entropy": 5.818879795074463,
+      "epoch": 2.31980115990058,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004712569276556967,
+      "loss": 5.5906,
+      "mean_token_accuracy": 0.14937217235565187,
+      "num_tokens": 5099003.0,
+      "step": 2800
+    },
+    {
+      "entropy": 5.617757177352905,
+      "epoch": 2.323943661971831,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00047110044924360484,
+      "loss": 5.6681,
+      "mean_token_accuracy": 0.1565680392086506,
+      "num_tokens": 5108631.0,
+      "step": 2805
+    },
+    {
+      "entropy": 5.732515859603882,
+      "epoch": 2.328086164043082,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00047094357527547725,
+      "loss": 5.4545,
+      "mean_token_accuracy": 0.15828853249549865,
+      "num_tokens": 5117309.0,
+      "step": 2810
+    },
+    {
+      "entropy": 5.686485624313354,
+      "epoch": 2.332228666114333,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004707863060677459,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.1627561032772064,
+      "num_tokens": 5126305.0,
+      "step": 2815
+    },
+    {
+      "entropy": 5.821760654449463,
+      "epoch": 2.3363711681855843,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00047062864193764,
+      "loss": 5.6022,
+      "mean_token_accuracy": 0.15580221712589265,
+      "num_tokens": 5135338.0,
+      "step": 2820
+    },
+    {
+      "entropy": 5.676449155807495,
+      "epoch": 2.340513670256835,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047047058320318525,
+      "loss": 5.5298,
+      "mean_token_accuracy": 0.16162888556718827,
+      "num_tokens": 5144518.0,
+      "step": 2825
+    },
+    {
+      "entropy": 5.702890157699585,
+      "epoch": 2.344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004703121301832034,
+      "loss": 5.6262,
+      "mean_token_accuracy": 0.15101130157709122,
+      "num_tokens": 5154102.0,
+      "step": 2830
+    },
+    {
+      "entropy": 5.7891247272491455,
+      "epoch": 2.348798674399337,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047015328319731153,
+      "loss": 5.5642,
+      "mean_token_accuracy": 0.15612353384494781,
+      "num_tokens": 5163719.0,
+      "step": 2835
+    },
+    {
+      "entropy": 5.677855682373047,
+      "epoch": 2.3529411764705883,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004699940425659215,
+      "loss": 5.5247,
+      "mean_token_accuracy": 0.15519936084747316,
+      "num_tokens": 5173192.0,
+      "step": 2840
+    },
+    {
+      "entropy": 5.622324132919312,
+      "epoch": 2.3570836785418394,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00046983440861023877,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.1663823500275612,
+      "num_tokens": 5182438.0,
+      "step": 2845
+    },
+    {
+      "entropy": 5.699106454849243,
+      "epoch": 2.36122618061309,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046967438165226275,
+      "loss": 5.6015,
+      "mean_token_accuracy": 0.15352728664875032,
+      "num_tokens": 5191595.0,
+      "step": 2850
+    },
+    {
+      "entropy": 5.659265756607056,
+      "epoch": 2.365368682684341,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004695139620147851,
+      "loss": 5.4682,
+      "mean_token_accuracy": 0.1643056571483612,
+      "num_tokens": 5200174.0,
+      "step": 2855
+    },
+    {
+      "entropy": 5.713242053985596,
+      "epoch": 2.3695111847555923,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046935315002138994,
+      "loss": 5.5804,
+      "mean_token_accuracy": 0.15417435318231582,
+      "num_tokens": 5210454.0,
+      "step": 2860
+    },
+    {
+      "entropy": 5.727554702758789,
+      "epoch": 2.3736536868268434,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004691919459964525,
+      "loss": 5.5019,
+      "mean_token_accuracy": 0.16056040227413176,
+      "num_tokens": 5219243.0,
+      "step": 2865
+    },
+    {
+      "entropy": 5.5862212657928465,
+      "epoch": 2.3777961888980945,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046903035026513894,
+      "loss": 5.4319,
+      "mean_token_accuracy": 0.1613735228776932,
+      "num_tokens": 5228656.0,
+      "step": 2870
+    },
+    {
+      "entropy": 5.587289905548095,
+      "epoch": 2.3819386909693456,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004688683631534056,
+      "loss": 5.4859,
+      "mean_token_accuracy": 0.156366066634655,
+      "num_tokens": 5237807.0,
+      "step": 2875
+    },
+    {
+      "entropy": 5.775411653518677,
+      "epoch": 2.3860811930405967,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004687059849879981,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.1609719067811966,
+      "num_tokens": 5247432.0,
+      "step": 2880
+    },
+    {
+      "entropy": 5.597807741165161,
+      "epoch": 2.3902236951118474,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00046854321609645093,
+      "loss": 5.4145,
+      "mean_token_accuracy": 0.16111126840114592,
+      "num_tokens": 5256680.0,
+      "step": 2885
+    },
+    {
+      "entropy": 5.6380726337432865,
+      "epoch": 2.3943661971830985,
+      "grad_norm": 2.15625,
+      "learning_rate": 0.00046838005680708677,
+      "loss": 5.5296,
+      "mean_token_accuracy": 0.14821895360946655,
+      "num_tokens": 5266793.0,
+      "step": 2890
+    },
+    {
+      "entropy": 5.710390281677246,
+      "epoch": 2.3985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046821650744901573,
+      "loss": 5.4452,
+      "mean_token_accuracy": 0.15857197493314742,
+      "num_tokens": 5275028.0,
+      "step": 2895
+    },
+    {
+      "entropy": 5.598506593704224,
+      "epoch": 2.4026512013256007,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004680525683521347,
+      "loss": 5.5226,
+      "mean_token_accuracy": 0.1566852644085884,
+      "num_tokens": 5284162.0,
+      "step": 2900
+    },
+    {
+      "entropy": 5.757242631912232,
+      "epoch": 2.406793703396852,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004678882398471269,
+      "loss": 5.5911,
+      "mean_token_accuracy": 0.15474308133125306,
+      "num_tokens": 5293263.0,
+      "step": 2905
+    },
+    {
+      "entropy": 5.654598569869995,
+      "epoch": 2.4109362054681025,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046772352226546066,
+      "loss": 5.477,
+      "mean_token_accuracy": 0.1666618600487709,
+      "num_tokens": 5301373.0,
+      "step": 2910
+    },
+    {
+      "entropy": 5.643638467788696,
+      "epoch": 2.4150787075393536,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004675584159393895,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.15203802064061164,
+      "num_tokens": 5311009.0,
+      "step": 2915
+    },
+    {
+      "entropy": 5.699149656295776,
+      "epoch": 2.4192212096106047,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046739292120195083,
+      "loss": 5.5245,
+      "mean_token_accuracy": 0.16085631400346756,
+      "num_tokens": 5320341.0,
+      "step": 2920
+    },
+    {
+      "entropy": 5.642888498306275,
+      "epoch": 2.423363711681856,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004672270383869657,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1610630214214325,
+      "num_tokens": 5329250.0,
+      "step": 2925
+    },
+    {
+      "entropy": 5.62935357093811,
+      "epoch": 2.427506213753107,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004670607678290379,
+      "loss": 5.4471,
+      "mean_token_accuracy": 0.16571807861328125,
+      "num_tokens": 5336515.0,
+      "step": 2930
+    },
+    {
+      "entropy": 5.655415058135986,
+      "epoch": 2.431648715824358,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004668941098635532,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.1595415398478508,
+      "num_tokens": 5346043.0,
+      "step": 2935
+    },
+    {
+      "entropy": 5.642036104202271,
+      "epoch": 2.435791217895609,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00046672706482667897,
+      "loss": 5.4925,
+      "mean_token_accuracy": 0.15832271426916122,
+      "num_tokens": 5355124.0,
+      "step": 2940
+    },
+    {
+      "entropy": 5.647988367080688,
+      "epoch": 2.43993371996686,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004665596330553633,
+      "loss": 5.5051,
+      "mean_token_accuracy": 0.1597411409020424,
+      "num_tokens": 5364556.0,
+      "step": 2945
+    },
+    {
+      "entropy": 5.67459397315979,
+      "epoch": 2.444076222038111,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046639181488733445,
+      "loss": 5.5316,
+      "mean_token_accuracy": 0.15941161364316941,
+      "num_tokens": 5373778.0,
+      "step": 2950
+    },
+    {
+      "entropy": 5.725692987442017,
+      "epoch": 2.448218724109362,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004662236106610999,
+      "loss": 5.5123,
+      "mean_token_accuracy": 0.15816445648670197,
+      "num_tokens": 5382633.0,
+      "step": 2955
+    },
+    {
+      "entropy": 5.5606146335601805,
+      "epoch": 2.452361226180613,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00046605502071594604,
+      "loss": 5.4163,
+      "mean_token_accuracy": 0.16387673169374467,
+      "num_tokens": 5391442.0,
+      "step": 2960
+    },
+    {
+      "entropy": 5.569208765029908,
+      "epoch": 2.4565037282518642,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004658860453919371,
+      "loss": 5.4388,
+      "mean_token_accuracy": 0.1621423229575157,
+      "num_tokens": 5400504.0,
+      "step": 2965
+    },
+    {
+      "entropy": 5.587312078475952,
+      "epoch": 2.460646230323115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004657166850299149,
+      "loss": 5.4448,
+      "mean_token_accuracy": 0.16361159086227417,
+      "num_tokens": 5408939.0,
+      "step": 2970
+    },
+    {
+      "entropy": 5.629118537902832,
+      "epoch": 2.464788732394366,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004655469399714978,
+      "loss": 5.4722,
+      "mean_token_accuracy": 0.1575179159641266,
+      "num_tokens": 5418934.0,
+      "step": 2975
+    },
+    {
+      "entropy": 5.572103595733642,
+      "epoch": 2.468931234465617,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004653768105590799,
+      "loss": 5.4955,
+      "mean_token_accuracy": 0.16008511185646057,
+      "num_tokens": 5427894.0,
+      "step": 2980
+    },
+    {
+      "entropy": 5.683330011367798,
+      "epoch": 2.4730737365368682,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046520629713583115,
+      "loss": 5.5003,
+      "mean_token_accuracy": 0.1613202139735222,
+      "num_tokens": 5436830.0,
+      "step": 2985
+    },
+    {
+      "entropy": 5.597742080688477,
+      "epoch": 2.4772162386081193,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046503540004569555,
+      "loss": 5.4814,
+      "mean_token_accuracy": 0.16423845291137695,
+      "num_tokens": 5445504.0,
+      "step": 2990
+    },
+    {
+      "entropy": 5.679887342453003,
+      "epoch": 2.4813587406793705,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046486411963339125,
+      "loss": 5.5405,
+      "mean_token_accuracy": 0.15501321628689765,
+      "num_tokens": 5455378.0,
+      "step": 2995
+    },
+    {
+      "entropy": 5.712473011016845,
+      "epoch": 2.4855012427506216,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046469245624440955,
+      "loss": 5.6107,
+      "mean_token_accuracy": 0.1589423656463623,
+      "num_tokens": 5465334.0,
+      "step": 3000
+    },
+    {
+      "epoch": 2.4855012427506216,
+      "eval_entropy": 5.590163738234465,
+      "eval_loss": 5.965892314910889,
+      "eval_mean_token_accuracy": 0.14734836894947329,
+      "eval_num_tokens": 5465334.0,
+      "eval_runtime": 2.7526,
+      "eval_samples_per_second": 1361.234,
+      "eval_steps_per_second": 170.381,
+      "step": 3000
+    },
+    {
+      "entropy": 5.751126146316528,
+      "epoch": 2.4896437448218722,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046452041022501423,
+      "loss": 5.5858,
+      "mean_token_accuracy": 0.15555662512779236,
+      "num_tokens": 5475701.0,
+      "step": 3005
+    },
+    {
+      "entropy": 5.699931526184082,
+      "epoch": 2.4937862468931233,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004643479819222411,
+      "loss": 5.4828,
+      "mean_token_accuracy": 0.16229774355888366,
+      "num_tokens": 5485244.0,
+      "step": 3010
+    },
+    {
+      "entropy": 5.596950387954712,
+      "epoch": 2.4979287489643744,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046417517168389664,
+      "loss": 5.4434,
+      "mean_token_accuracy": 0.1682340309023857,
+      "num_tokens": 5493587.0,
+      "step": 3015
+    },
+    {
+      "entropy": 5.6203169345855715,
+      "epoch": 2.5020712510356256,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004640019798585581,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.15738681554794312,
+      "num_tokens": 5503117.0,
+      "step": 3020
+    },
+    {
+      "entropy": 5.762682390213013,
+      "epoch": 2.5062137531068767,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046382840679557233,
+      "loss": 5.5352,
+      "mean_token_accuracy": 0.16024575680494307,
+      "num_tokens": 5512742.0,
+      "step": 3025
+    },
+    {
+      "entropy": 5.647499704360962,
+      "epoch": 2.5103562551781273,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00046365445284505516,
+      "loss": 5.4968,
+      "mean_token_accuracy": 0.16166605204343795,
+      "num_tokens": 5521862.0,
+      "step": 3030
+    },
+    {
+      "entropy": 5.597900772094727,
+      "epoch": 2.5144987572493784,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.0004634801183578907,
+      "loss": 5.488,
+      "mean_token_accuracy": 0.1608501434326172,
+      "num_tokens": 5531244.0,
+      "step": 3035
+    },
+    {
+      "entropy": 5.655751419067383,
+      "epoch": 2.5186412593206295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046330540368573063,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15176820158958435,
+      "num_tokens": 5540786.0,
+      "step": 3040
+    },
+    {
+      "entropy": 5.7291028022766115,
+      "epoch": 2.5227837613918807,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046313030918099365,
+      "loss": 5.5224,
+      "mean_token_accuracy": 0.1602902241051197,
+      "num_tokens": 5549961.0,
+      "step": 3045
+    },
+    {
+      "entropy": 5.620108366012573,
+      "epoch": 2.5269262634631318,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00046295483519686437,
+      "loss": 5.4591,
+      "mean_token_accuracy": 0.16417455673217773,
+      "num_tokens": 5558941.0,
+      "step": 3050
+    },
+    {
+      "entropy": 5.644694232940674,
+      "epoch": 2.531068765534383,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046277898208729306,
+      "loss": 5.4673,
+      "mean_token_accuracy": 0.16716189235448836,
+      "num_tokens": 5567630.0,
+      "step": 3055
+    },
+    {
+      "entropy": 5.586954879760742,
+      "epoch": 2.535211267605634,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004626027502069947,
+      "loss": 5.4301,
+      "mean_token_accuracy": 0.16521373838186265,
+      "num_tokens": 5576430.0,
+      "step": 3060
+    },
+    {
+      "entropy": 5.650178289413452,
+      "epoch": 2.539353769676885,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046242613991144814,
+      "loss": 5.5444,
+      "mean_token_accuracy": 0.1609214127063751,
+      "num_tokens": 5584785.0,
+      "step": 3065
+    },
+    {
+      "entropy": 5.585511493682861,
+      "epoch": 2.5434962717481358,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046224915155689586,
+      "loss": 5.478,
+      "mean_token_accuracy": 0.16044741719961167,
+      "num_tokens": 5594583.0,
+      "step": 3070
+    },
+    {
+      "entropy": 5.638197040557861,
+      "epoch": 2.547638773819387,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046207178550034244,
+      "loss": 5.4306,
+      "mean_token_accuracy": 0.1608849883079529,
+      "num_tokens": 5603498.0,
+      "step": 3075
+    },
+    {
+      "entropy": 5.7161966323852536,
+      "epoch": 2.551781275890638,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004618940420995547,
+      "loss": 5.5685,
+      "mean_token_accuracy": 0.15440558269619942,
+      "num_tokens": 5613101.0,
+      "step": 3080
+    },
+    {
+      "entropy": 5.665849494934082,
+      "epoch": 2.555923777961889,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004617159217130606,
+      "loss": 5.5409,
+      "mean_token_accuracy": 0.1569191187620163,
+      "num_tokens": 5621821.0,
+      "step": 3085
+    },
+    {
+      "entropy": 5.711861181259155,
+      "epoch": 2.5600662800331397,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004615374247001483,
+      "loss": 5.5738,
+      "mean_token_accuracy": 0.15701586306095122,
+      "num_tokens": 5631006.0,
+      "step": 3090
+    },
+    {
+      "entropy": 5.674423551559448,
+      "epoch": 2.564208782104391,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004613585514208659,
+      "loss": 5.5295,
+      "mean_token_accuracy": 0.15232180580496787,
+      "num_tokens": 5640159.0,
+      "step": 3095
+    },
+    {
+      "entropy": 5.592060613632202,
+      "epoch": 2.568351284175642,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046117930223602016,
+      "loss": 5.4003,
+      "mean_token_accuracy": 0.1694741129875183,
+      "num_tokens": 5648369.0,
+      "step": 3100
+    },
+    {
+      "entropy": 5.5982965469360355,
+      "epoch": 2.572493786246893,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004609996775071765,
+      "loss": 5.459,
+      "mean_token_accuracy": 0.1591326355934143,
+      "num_tokens": 5657669.0,
+      "step": 3105
+    },
+    {
+      "entropy": 5.56780686378479,
+      "epoch": 2.576636288318144,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004608196775966575,
+      "loss": 5.5319,
+      "mean_token_accuracy": 0.1610974356532097,
+      "num_tokens": 5666601.0,
+      "step": 3110
+    },
+    {
+      "entropy": 5.639773225784301,
+      "epoch": 2.5807787903893953,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046063930286754267,
+      "loss": 5.4465,
+      "mean_token_accuracy": 0.16618527621030807,
+      "num_tokens": 5675243.0,
+      "step": 3115
+    },
+    {
+      "entropy": 5.56855001449585,
+      "epoch": 2.5849212924606464,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00046045855368366756,
+      "loss": 5.466,
+      "mean_token_accuracy": 0.1630399063229561,
+      "num_tokens": 5683646.0,
+      "step": 3120
+    },
+    {
+      "entropy": 5.682586193084717,
+      "epoch": 2.5890637945318975,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.000460277430409623,
+      "loss": 5.5129,
+      "mean_token_accuracy": 0.17162407487630843,
+      "num_tokens": 5693069.0,
+      "step": 3125
+    },
+    {
+      "entropy": 5.587219524383545,
+      "epoch": 2.593206296603148,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046009593341075444,
+      "loss": 5.3754,
+      "mean_token_accuracy": 0.16499391198158264,
+      "num_tokens": 5701527.0,
+      "step": 3130
+    },
+    {
+      "entropy": 5.561956834793091,
+      "epoch": 2.5973487986743993,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004599140630531612,
+      "loss": 5.5403,
+      "mean_token_accuracy": 0.15682477951049806,
+      "num_tokens": 5710379.0,
+      "step": 3135
+    },
+    {
+      "entropy": 5.69692587852478,
+      "epoch": 2.6014913007456504,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004597318197036956,
+      "loss": 5.4524,
+      "mean_token_accuracy": 0.1643553927540779,
+      "num_tokens": 5719217.0,
+      "step": 3140
+    },
+    {
+      "entropy": 5.629226970672607,
+      "epoch": 2.6056338028169015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004595492037299624,
+      "loss": 5.5535,
+      "mean_token_accuracy": 0.16214104294776915,
+      "num_tokens": 5728331.0,
+      "step": 3145
+    },
+    {
+      "entropy": 5.608061027526856,
+      "epoch": 2.6097763048881526,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045936621550031806,
+      "loss": 5.5107,
+      "mean_token_accuracy": 0.16073764860630035,
+      "num_tokens": 5737696.0,
+      "step": 3150
+    },
+    {
+      "entropy": 5.731885099411011,
+      "epoch": 2.6139188069594033,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045918285538386973,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.16164542436599733,
+      "num_tokens": 5746191.0,
+      "step": 3155
+    },
+    {
+      "entropy": 5.703127813339234,
+      "epoch": 2.6180613090306544,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00045899912375047485,
+      "loss": 5.5619,
+      "mean_token_accuracy": 0.1629435494542122,
+      "num_tokens": 5754824.0,
+      "step": 3160
+    },
+    {
+      "entropy": 5.638229656219482,
+      "epoch": 2.6222038111019055,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045881502097074023,
+      "loss": 5.537,
+      "mean_token_accuracy": 0.1518124133348465,
+      "num_tokens": 5764863.0,
+      "step": 3165
+    },
+    {
+      "entropy": 5.614318180084228,
+      "epoch": 2.6263463131731566,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004586305474160212,
+      "loss": 5.5459,
+      "mean_token_accuracy": 0.15642993301153182,
+      "num_tokens": 5774273.0,
+      "step": 3170
+    },
+    {
+      "entropy": 5.666326427459717,
+      "epoch": 2.6304888152444077,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045844570345842116,
+      "loss": 5.5044,
+      "mean_token_accuracy": 0.16042826995253562,
+      "num_tokens": 5784085.0,
+      "step": 3175
+    },
+    {
+      "entropy": 5.659371709823608,
+      "epoch": 2.634631317315659,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004582604894707906,
+      "loss": 5.5336,
+      "mean_token_accuracy": 0.16884370446205138,
+      "num_tokens": 5793921.0,
+      "step": 3180
+    },
+    {
+      "entropy": 5.664378356933594,
+      "epoch": 2.63877381938691,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00045807490582672634,
+      "loss": 5.4972,
+      "mean_token_accuracy": 0.15294444859027861,
+      "num_tokens": 5803902.0,
+      "step": 3185
+    },
+    {
+      "entropy": 5.542481708526611,
+      "epoch": 2.6429163214581606,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00045788895290057083,
+      "loss": 5.4129,
+      "mean_token_accuracy": 0.16788192689418793,
+      "num_tokens": 5812089.0,
+      "step": 3190
+    },
+    {
+      "entropy": 5.6802209377288815,
+      "epoch": 2.6470588235294117,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00045770263106741137,
+      "loss": 5.5784,
+      "mean_token_accuracy": 0.1578851893544197,
+      "num_tokens": 5821072.0,
+      "step": 3195
+    },
+    {
+      "entropy": 5.628516340255738,
+      "epoch": 2.651201325600663,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004575159407030797,
+      "loss": 5.4029,
+      "mean_token_accuracy": 0.16388181746006011,
+      "num_tokens": 5829725.0,
+      "step": 3200
+    },
+    {
+      "entropy": 5.500157403945923,
+      "epoch": 2.655343827671914,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004573288821841505,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16496249735355378,
+      "num_tokens": 5838153.0,
+      "step": 3205
+    },
+    {
+      "entropy": 5.616616106033325,
+      "epoch": 2.659486329743165,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004571414558879413,
+      "loss": 5.4409,
+      "mean_token_accuracy": 0.15448423773050307,
+      "num_tokens": 5847270.0,
+      "step": 3210
+    },
+    {
+      "entropy": 5.6490891456604,
+      "epoch": 2.6636288318144157,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004569536621925114,
+      "loss": 5.5472,
+      "mean_token_accuracy": 0.15474478006362916,
+      "num_tokens": 5855954.0,
+      "step": 3215
+    },
+    {
+      "entropy": 5.634416961669922,
+      "epoch": 2.667771333885667,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004567655014766612,
+      "loss": 5.4529,
+      "mean_token_accuracy": 0.16163208782672883,
+      "num_tokens": 5864435.0,
+      "step": 3220
+    },
+    {
+      "entropy": 5.624909925460815,
+      "epoch": 2.671913835956918,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004565769741199314,
+      "loss": 5.5135,
+      "mean_token_accuracy": 0.1572384186089039,
+      "num_tokens": 5873964.0,
+      "step": 3225
+    },
+    {
+      "entropy": 5.727962255477905,
+      "epoch": 2.676056338028169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045638808050260237,
+      "loss": 5.4648,
+      "mean_token_accuracy": 0.16628578454256057,
+      "num_tokens": 5882738.0,
+      "step": 3230
+    },
+    {
+      "entropy": 5.587652635574341,
+      "epoch": 2.68019884009942,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00045619882100569317,
+      "loss": 5.5925,
+      "mean_token_accuracy": 0.15854242593050002,
+      "num_tokens": 5891749.0,
+      "step": 3235
+    },
+    {
+      "entropy": 5.627515649795532,
+      "epoch": 2.684341342170671,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004560091960109608,
+      "loss": 5.5372,
+      "mean_token_accuracy": 0.15811603218317033,
+      "num_tokens": 5900551.0,
+      "step": 3240
+    },
+    {
+      "entropy": 5.661735343933105,
+      "epoch": 2.6884838442419223,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004558192059008996,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.1517203629016876,
+      "num_tokens": 5909254.0,
+      "step": 3245
+    },
+    {
+      "entropy": 5.599635648727417,
+      "epoch": 2.692626346313173,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004556288510587406,
+      "loss": 5.4987,
+      "mean_token_accuracy": 0.15817683488130568,
+      "num_tokens": 5918357.0,
+      "step": 3250
+    },
+    {
+      "entropy": 5.662895679473877,
+      "epoch": 2.696768848384424,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00045543813186845004,
+      "loss": 5.5021,
+      "mean_token_accuracy": 0.15579704195261002,
+      "num_tokens": 5927742.0,
+      "step": 3255
+    },
+    {
+      "entropy": 5.627440690994263,
+      "epoch": 2.700911350455675,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004552470487147294,
+      "loss": 5.5823,
+      "mean_token_accuracy": 0.1556493915617466,
+      "num_tokens": 5937025.0,
+      "step": 3260
+    },
+    {
+      "entropy": 5.70678014755249,
+      "epoch": 2.7050538525269263,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045505560198301443,
+      "loss": 5.5615,
+      "mean_token_accuracy": 0.15135139375925064,
+      "num_tokens": 5946176.0,
+      "step": 3265
+    },
+    {
+      "entropy": 5.659924745559692,
+      "epoch": 2.7091963545981774,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045486379205947396,
+      "loss": 5.5233,
+      "mean_token_accuracy": 0.1584411159157753,
+      "num_tokens": 5955550.0,
+      "step": 3270
+    },
+    {
+      "entropy": 5.594695281982422,
+      "epoch": 2.713338856669428,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004546716193310098,
+      "loss": 5.4541,
+      "mean_token_accuracy": 0.1651945412158966,
+      "num_tokens": 5964467.0,
+      "step": 3275
+    },
+    {
+      "entropy": 5.605531787872314,
+      "epoch": 2.717481358740679,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000454479084185255,
+      "loss": 5.4855,
+      "mean_token_accuracy": 0.1514287754893303,
+      "num_tokens": 5973906.0,
+      "step": 3280
+    },
+    {
+      "entropy": 5.696796035766601,
+      "epoch": 2.7216238608119303,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004542861870105743,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.15694239139556884,
+      "num_tokens": 5983701.0,
+      "step": 3285
+    },
+    {
+      "entropy": 5.623150444030761,
+      "epoch": 2.7257663628831814,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045409292819606224,
+      "loss": 5.4971,
+      "mean_token_accuracy": 0.16068210303783417,
+      "num_tokens": 5993367.0,
+      "step": 3290
+    },
+    {
+      "entropy": 5.646857404708863,
+      "epoch": 2.7299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045389930813154297,
+      "loss": 5.4519,
+      "mean_token_accuracy": 0.16334805637598038,
+      "num_tokens": 6003752.0,
+      "step": 3295
+    },
+    {
+      "entropy": 5.675233459472656,
+      "epoch": 2.7340513670256836,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004537053272075693,
+      "loss": 5.5263,
+      "mean_token_accuracy": 0.1621565416455269,
+      "num_tokens": 6012486.0,
+      "step": 3300
+    },
+    {
+      "entropy": 5.5136041164398195,
+      "epoch": 2.7381938690969347,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045351098581542204,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.163838130235672,
+      "num_tokens": 6020742.0,
+      "step": 3305
+    },
+    {
+      "entropy": 5.646917295455933,
+      "epoch": 2.742336371168186,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004533162843471089,
+      "loss": 5.5009,
+      "mean_token_accuracy": 0.15474170595407485,
+      "num_tokens": 6030248.0,
+      "step": 3310
+    },
+    {
+      "entropy": 5.632185411453247,
+      "epoch": 2.7464788732394365,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004531212231953641,
+      "loss": 5.5436,
+      "mean_token_accuracy": 0.15157791674137117,
+      "num_tokens": 6039293.0,
+      "step": 3315
+    },
+    {
+      "entropy": 5.587828540802002,
+      "epoch": 2.7506213753106876,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004529258027536473,
+      "loss": 5.4134,
+      "mean_token_accuracy": 0.16378402560949326,
+      "num_tokens": 6048081.0,
+      "step": 3320
+    },
+    {
+      "entropy": 5.673684549331665,
+      "epoch": 2.7547638773819387,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004527300234161428,
+      "loss": 5.5753,
+      "mean_token_accuracy": 0.15969255268573762,
+      "num_tokens": 6057549.0,
+      "step": 3325
+    },
+    {
+      "entropy": 5.646554040908813,
+      "epoch": 2.75890637945319,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004525338855777591,
+      "loss": 5.5589,
+      "mean_token_accuracy": 0.15469738617539405,
+      "num_tokens": 6067372.0,
+      "step": 3330
+    },
+    {
+      "entropy": 5.595069122314453,
+      "epoch": 2.7630488815244405,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045233738963412746,
+      "loss": 5.4181,
+      "mean_token_accuracy": 0.1717814713716507,
+      "num_tokens": 6075532.0,
+      "step": 3335
+    },
+    {
+      "entropy": 5.5924467086792,
+      "epoch": 2.7671913835956916,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045214053598160173,
+      "loss": 5.4439,
+      "mean_token_accuracy": 0.16404369622468948,
+      "num_tokens": 6084389.0,
+      "step": 3340
+    },
+    {
+      "entropy": 5.598109579086303,
+      "epoch": 2.7713338856669427,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045194332501725725,
+      "loss": 5.4706,
+      "mean_token_accuracy": 0.16428767740726472,
+      "num_tokens": 6093536.0,
+      "step": 3345
+    },
+    {
+      "entropy": 5.637304496765137,
+      "epoch": 2.775476387738194,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00045174575713889014,
+      "loss": 5.5167,
+      "mean_token_accuracy": 0.16573925465345382,
+      "num_tokens": 6102677.0,
+      "step": 3350
+    },
+    {
+      "entropy": 5.677533674240112,
+      "epoch": 2.779618889809445,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004515478327450164,
+      "loss": 5.5926,
+      "mean_token_accuracy": 0.156404609978199,
+      "num_tokens": 6112430.0,
+      "step": 3355
+    },
+    {
+      "entropy": 5.643227863311767,
+      "epoch": 2.783761391880696,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00045134955223487093,
+      "loss": 5.4889,
+      "mean_token_accuracy": 0.16630716919898986,
+      "num_tokens": 6121408.0,
+      "step": 3360
+    },
+    {
+      "entropy": 5.57972674369812,
+      "epoch": 2.787903893951947,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00045115091600840757,
+      "loss": 5.5188,
+      "mean_token_accuracy": 0.15800442099571227,
+      "num_tokens": 6131339.0,
+      "step": 3365
+    },
+    {
+      "entropy": 5.624274778366089,
+      "epoch": 2.7920463960231983,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00045095192446629697,
+      "loss": 5.4816,
+      "mean_token_accuracy": 0.16174803227186202,
+      "num_tokens": 6140590.0,
+      "step": 3370
+    },
+    {
+      "entropy": 5.704814815521241,
+      "epoch": 2.796188898094449,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000450752578009927,
+      "loss": 5.5621,
+      "mean_token_accuracy": 0.1653067871928215,
+      "num_tokens": 6149958.0,
+      "step": 3375
+    },
+    {
+      "entropy": 5.58657054901123,
+      "epoch": 2.8003314001657,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045055287704140115,
+      "loss": 5.4346,
+      "mean_token_accuracy": 0.15949429720640182,
+      "num_tokens": 6159411.0,
+      "step": 3380
+    },
+    {
+      "entropy": 5.595387983322143,
+      "epoch": 2.804473902236951,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004503528219635381,
+      "loss": 5.5138,
+      "mean_token_accuracy": 0.1545591250061989,
+      "num_tokens": 6169264.0,
+      "step": 3385
+    },
+    {
+      "entropy": 5.617677021026611,
+      "epoch": 2.8086164043082023,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004501524131798709,
+      "loss": 5.4826,
+      "mean_token_accuracy": 0.16332829892635345,
+      "num_tokens": 6178374.0,
+      "step": 3390
+    },
+    {
+      "entropy": 5.7183191776275635,
+      "epoch": 2.812758906379453,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000449951651094646,
+      "loss": 5.4697,
+      "mean_token_accuracy": 0.15537519603967667,
+      "num_tokens": 6186918.0,
+      "step": 3395
+    },
+    {
+      "entropy": 5.566522169113159,
+      "epoch": 2.816901408450704,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044975053611282217,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.1613329365849495,
+      "num_tokens": 6196400.0,
+      "step": 3400
+    },
+    {
+      "entropy": 5.514105558395386,
+      "epoch": 2.821043910521955,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004495490686400706,
+      "loss": 5.3941,
+      "mean_token_accuracy": 0.1649619847536087,
+      "num_tokens": 6204849.0,
+      "step": 3405
+    },
+    {
+      "entropy": 5.615210485458374,
+      "epoch": 2.8251864125932062,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00044934724908277313,
+      "loss": 5.4834,
+      "mean_token_accuracy": 0.16362717300653457,
+      "num_tokens": 6214121.0,
+      "step": 3410
+    },
+    {
+      "entropy": 5.654720067977905,
+      "epoch": 2.8293289146644574,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044914507784802184,
+      "loss": 5.4835,
+      "mean_token_accuracy": 0.16509974151849746,
+      "num_tokens": 6223163.0,
+      "step": 3415
+    },
+    {
+      "entropy": 5.641624307632446,
+      "epoch": 2.8334714167357085,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004489425553436182,
+      "loss": 5.5084,
+      "mean_token_accuracy": 0.15882937759160995,
+      "num_tokens": 6231581.0,
+      "step": 3420
+    },
+    {
+      "entropy": 5.659383153915405,
+      "epoch": 2.8376139188069596,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00044873968197807213,
+      "loss": 5.5838,
+      "mean_token_accuracy": 0.1599879801273346,
+      "num_tokens": 6240015.0,
+      "step": 3425
+    },
+    {
+      "entropy": 5.666435050964355,
+      "epoch": 2.8417564208782107,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044853645816060156,
+      "loss": 5.5979,
+      "mean_token_accuracy": 0.1532062940299511,
+      "num_tokens": 6249083.0,
+      "step": 3430
+    },
+    {
+      "entropy": 5.6627098560333256,
+      "epoch": 2.8458989229494613,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00044833288430113104,
+      "loss": 5.5496,
+      "mean_token_accuracy": 0.1654196172952652,
+      "num_tokens": 6258798.0,
+      "step": 3435
+    },
+    {
+      "entropy": 5.609176588058472,
+      "epoch": 2.8500414250207124,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00044812896081029136,
+      "loss": 5.4023,
+      "mean_token_accuracy": 0.16617698073387147,
+      "num_tokens": 6267819.0,
+      "step": 3440
+    },
+    {
+      "entropy": 5.626215600967408,
+      "epoch": 2.8541839270919636,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004479246880994183,
+      "loss": 5.4804,
+      "mean_token_accuracy": 0.15876610353589057,
+      "num_tokens": 6276915.0,
+      "step": 3445
+    },
+    {
+      "entropy": 5.627827167510986,
+      "epoch": 2.8583264291632147,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004477200665805525,
+      "loss": 5.5216,
+      "mean_token_accuracy": 0.15861138105392455,
+      "num_tokens": 6285880.0,
+      "step": 3450
+    },
+    {
+      "entropy": 5.6323963642120365,
+      "epoch": 2.8624689312344658,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00044751509666643777,
+      "loss": 5.6351,
+      "mean_token_accuracy": 0.14970673844218255,
+      "num_tokens": 6295408.0,
+      "step": 3455
+    },
+    {
+      "entropy": 5.6166990280151365,
+      "epoch": 2.8666114333057164,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044730977877052084,
+      "loss": 5.3753,
+      "mean_token_accuracy": 0.16562075018882752,
+      "num_tokens": 6304110.0,
+      "step": 3460
+    },
+    {
+      "entropy": 5.669659185409546,
+      "epoch": 2.8707539353769675,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00044710411330695045,
+      "loss": 5.5254,
+      "mean_token_accuracy": 0.15842530727386475,
+      "num_tokens": 6312577.0,
+      "step": 3465
+    },
+    {
+      "entropy": 5.738371801376343,
+      "epoch": 2.8748964374482187,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00044689810069057615,
+      "loss": 5.606,
+      "mean_token_accuracy": 0.15023296922445298,
+      "num_tokens": 6321766.0,
+      "step": 3470
+    },
+    {
+      "entropy": 5.642851161956787,
+      "epoch": 2.8790389395194698,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004466917413369479,
+      "loss": 5.5731,
+      "mean_token_accuracy": 0.151870658993721,
+      "num_tokens": 6330327.0,
+      "step": 3475
+    },
+    {
+      "entropy": 5.577242517471314,
+      "epoch": 2.883181441590721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004464850356623152,
+      "loss": 5.4926,
+      "mean_token_accuracy": 0.16011006087064744,
+      "num_tokens": 6339596.0,
+      "step": 3480
+    },
+    {
+      "entropy": 5.613158226013184,
+      "epoch": 2.887323943661972,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00044627798408362597,
+      "loss": 5.3986,
+      "mean_token_accuracy": 0.1670537531375885,
+      "num_tokens": 6348080.0,
+      "step": 3485
+    },
+    {
+      "entropy": 5.613135099411011,
+      "epoch": 2.891466445733223,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004460705870185258,
+      "loss": 5.5277,
+      "mean_token_accuracy": 0.15435466170310974,
+      "num_tokens": 6357725.0,
+      "step": 3490
+    },
+    {
+      "entropy": 5.627930736541748,
+      "epoch": 2.8956089478044738,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004458628448853572,
+      "loss": 5.4831,
+      "mean_token_accuracy": 0.16073092967271804,
+      "num_tokens": 6366821.0,
+      "step": 3495
+    },
+    {
+      "entropy": 5.729347085952758,
+      "epoch": 2.899751449875725,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004456547581031589,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.15560299083590506,
+      "num_tokens": 6375641.0,
+      "step": 3500
+    },
+    {
+      "epoch": 2.899751449875725,
+      "eval_entropy": 5.414937326394673,
+      "eval_loss": 5.899942874908447,
+      "eval_mean_token_accuracy": 0.15183768343569629,
+      "eval_num_tokens": 6375641.0,
+      "eval_runtime": 2.9583,
+      "eval_samples_per_second": 1266.605,
+      "eval_steps_per_second": 158.537,
+      "step": 3500
+    },
+    {
+      "entropy": 5.548971128463745,
+      "epoch": 2.903893951946976,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004454463270916646,
+      "loss": 5.404,
+      "mean_token_accuracy": 0.1680065542459488,
+      "num_tokens": 6384596.0,
+      "step": 3505
+    },
+    {
+      "entropy": 5.719941425323486,
+      "epoch": 2.908036454018227,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004452375522713023,
+      "loss": 5.7474,
+      "mean_token_accuracy": 0.14030246064066887,
+      "num_tokens": 6395048.0,
+      "step": 3510
+    },
+    {
+      "entropy": 5.643452119827271,
+      "epoch": 2.912178956089478,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004450284340631938,
+      "loss": 5.5762,
+      "mean_token_accuracy": 0.15520212948322296,
+      "num_tokens": 6404828.0,
+      "step": 3515
+    },
+    {
+      "entropy": 5.627139854431152,
+      "epoch": 2.916321458160729,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044481897288915334,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.16042221039533616,
+      "num_tokens": 6414670.0,
+      "step": 3520
+    },
+    {
+      "entropy": 5.474701166152954,
+      "epoch": 2.92046396023198,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044460916917168697,
+      "loss": 5.3896,
+      "mean_token_accuracy": 0.16453512459993364,
+      "num_tokens": 6423446.0,
+      "step": 3525
+    },
+    {
+      "entropy": 5.5396312236785885,
+      "epoch": 2.924606462303231,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004443990233339918,
+      "loss": 5.4655,
+      "mean_token_accuracy": 0.1552535504102707,
+      "num_tokens": 6433412.0,
+      "step": 3530
+    },
+    {
+      "entropy": 5.652051544189453,
+      "epoch": 2.928748964374482,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004441885357999548,
+      "loss": 5.444,
+      "mean_token_accuracy": 0.1643453508615494,
+      "num_tokens": 6443520.0,
+      "step": 3535
+    },
+    {
+      "entropy": 5.674185514450073,
+      "epoch": 2.9328914664457333,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004439777069941524,
+      "loss": 5.5527,
+      "mean_token_accuracy": 0.15431721061468123,
+      "num_tokens": 6452933.0,
+      "step": 3540
+    },
+    {
+      "entropy": 5.550513553619385,
+      "epoch": 2.9370339685169844,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044376653734184935,
+      "loss": 5.3908,
+      "mean_token_accuracy": 0.16788479536771775,
+      "num_tokens": 6462113.0,
+      "step": 3545
+    },
+    {
+      "entropy": 5.468146800994873,
+      "epoch": 2.9411764705882355,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004435550272689979,
+      "loss": 5.4246,
+      "mean_token_accuracy": 0.16583772748708725,
+      "num_tokens": 6471411.0,
+      "step": 3550
+    },
+    {
+      "entropy": 5.662385082244873,
+      "epoch": 2.945318972659486,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00044334317720223706,
+      "loss": 5.532,
+      "mean_token_accuracy": 0.1599032275378704,
+      "num_tokens": 6480682.0,
+      "step": 3555
+    },
+    {
+      "entropy": 5.678339672088623,
+      "epoch": 2.9494614747307373,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00044313098756889154,
+      "loss": 5.5754,
+      "mean_token_accuracy": 0.15587076246738435,
+      "num_tokens": 6490614.0,
+      "step": 3560
+    },
+    {
+      "entropy": 5.585533094406128,
+      "epoch": 2.9536039768019884,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004429184587969708,
+      "loss": 5.4273,
+      "mean_token_accuracy": 0.16405707746744155,
+      "num_tokens": 6499079.0,
+      "step": 3565
+    },
+    {
+      "entropy": 5.668995666503906,
+      "epoch": 2.9577464788732395,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004427055913151689,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.14727827310562133,
+      "num_tokens": 6508556.0,
+      "step": 3570
+    },
+    {
+      "entropy": 5.70610499382019,
+      "epoch": 2.9618889809444906,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004424923855528626,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.15901169627904893,
+      "num_tokens": 6517934.0,
+      "step": 3575
+    },
+    {
+      "entropy": 5.614701509475708,
+      "epoch": 2.9660314830157413,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004422788419401114,
+      "loss": 5.4321,
+      "mean_token_accuracy": 0.1702651560306549,
+      "num_tokens": 6526995.0,
+      "step": 3580
+    },
+    {
+      "entropy": 5.572284936904907,
+      "epoch": 2.9701739850869924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00044206496090765595,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1573972523212433,
+      "num_tokens": 6535264.0,
+      "step": 3585
+    },
+    {
+      "entropy": 5.610080623626709,
+      "epoch": 2.9743164871582435,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00044185074288691776,
+      "loss": 5.3994,
+      "mean_token_accuracy": 0.1746336281299591,
+      "num_tokens": 6544498.0,
+      "step": 3590
+    },
+    {
+      "entropy": 5.582769393920898,
+      "epoch": 2.9784589892294946,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044163618830999794,
+      "loss": 5.5098,
+      "mean_token_accuracy": 0.16030704230070114,
+      "num_tokens": 6554761.0,
+      "step": 3595
+    },
+    {
+      "entropy": 5.603819417953491,
+      "epoch": 2.9826014913007457,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044142129760967643,
+      "loss": 5.5614,
+      "mean_token_accuracy": 0.15714355707168579,
+      "num_tokens": 6564039.0,
+      "step": 3600
+    },
+    {
+      "entropy": 5.679829835891724,
+      "epoch": 2.986743993371997,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004412060712194115,
+      "loss": 5.5068,
+      "mean_token_accuracy": 0.15993095487356185,
+      "num_tokens": 6572559.0,
+      "step": 3605
+    },
+    {
+      "entropy": 5.589264869689941,
+      "epoch": 2.990886495443248,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004409905095733381,
+      "loss": 5.4931,
+      "mean_token_accuracy": 0.1612076446413994,
+      "num_tokens": 6581621.0,
+      "step": 3610
+    },
+    {
+      "entropy": 5.550649166107178,
+      "epoch": 2.995028997514499,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00044077461310626764,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.15403861105442046,
+      "num_tokens": 6590353.0,
+      "step": 3615
+    },
+    {
+      "entropy": 5.64892258644104,
+      "epoch": 2.9991714995857497,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000440558382253687,
+      "loss": 5.4575,
+      "mean_token_accuracy": 0.16497674435377122,
+      "num_tokens": 6598822.0,
+      "step": 3620
+    },
+    {
+      "entropy": 5.5967165470123295,
+      "epoch": 3.003314001657001,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004403418174517573,
+      "loss": 5.2529,
+      "mean_token_accuracy": 0.16683556884527206,
+      "num_tokens": 6606728.0,
+      "step": 3625
+    },
+    {
+      "entropy": 5.599476623535156,
+      "epoch": 3.007456503728252,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044012491913731353,
+      "loss": 5.1756,
+      "mean_token_accuracy": 0.1743481546640396,
+      "num_tokens": 6616226.0,
+      "step": 3630
+    },
+    {
+      "entropy": 5.5095573425292965,
+      "epoch": 3.011599005799503,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004399076877478632,
+      "loss": 5.0266,
+      "mean_token_accuracy": 0.1868550017476082,
+      "num_tokens": 6624801.0,
+      "step": 3635
+    },
+    {
+      "entropy": 5.60879430770874,
+      "epoch": 3.015741507870754,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004396901237215858,
+      "loss": 5.2209,
+      "mean_token_accuracy": 0.16688485741615294,
+      "num_tokens": 6633043.0,
+      "step": 3640
+    },
+    {
+      "entropy": 5.538025426864624,
+      "epoch": 3.019884009942005,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043947222749733173,
+      "loss": 5.1692,
+      "mean_token_accuracy": 0.17499702274799347,
+      "num_tokens": 6641197.0,
+      "step": 3645
+    },
+    {
+      "entropy": 5.586767101287842,
+      "epoch": 3.024026512013256,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043925399951462153,
+      "loss": 5.2064,
+      "mean_token_accuracy": 0.1801098555326462,
+      "num_tokens": 6650411.0,
+      "step": 3650
+    },
+    {
+      "entropy": 5.4191618919372555,
+      "epoch": 3.028169014084507,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004390354402136449,
+      "loss": 5.0903,
+      "mean_token_accuracy": 0.17804521024227143,
+      "num_tokens": 6659405.0,
+      "step": 3655
+    },
+    {
+      "entropy": 5.583788824081421,
+      "epoch": 3.032311516155758,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0004388165500352597,
+      "loss": 5.1642,
+      "mean_token_accuracy": 0.17557908743619918,
+      "num_tokens": 6667701.0,
+      "step": 3660
+    },
+    {
+      "entropy": 5.614604902267456,
+      "epoch": 3.036454018227009,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004385973294209915,
+      "loss": 5.1881,
+      "mean_token_accuracy": 0.17808027267456056,
+      "num_tokens": 6676801.0,
+      "step": 3665
+    },
+    {
+      "entropy": 5.457578706741333,
+      "epoch": 3.0405965202982603,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004383777788130321,
+      "loss": 5.083,
+      "mean_token_accuracy": 0.17836775481700898,
+      "num_tokens": 6686005.0,
+      "step": 3670
+    },
+    {
+      "entropy": 5.479088068008423,
+      "epoch": 3.044739022369511,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004381578986542393,
+      "loss": 5.0937,
+      "mean_token_accuracy": 0.17960153371095658,
+      "num_tokens": 6694884.0,
+      "step": 3675
+    },
+    {
+      "entropy": 5.501745700836182,
+      "epoch": 3.048881524440762,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004379376893881352,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.17827630788087845,
+      "num_tokens": 6703476.0,
+      "step": 3680
+    },
+    {
+      "entropy": 5.616245269775391,
+      "epoch": 3.053024026512013,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004377171514589059,
+      "loss": 5.2531,
+      "mean_token_accuracy": 0.1736731931567192,
+      "num_tokens": 6712576.0,
+      "step": 3685
+    },
+    {
+      "entropy": 5.398316955566406,
+      "epoch": 3.0571665285832643,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004374962853114007,
+      "loss": 5.0545,
+      "mean_token_accuracy": 0.18062082678079605,
+      "num_tokens": 6721532.0,
+      "step": 3690
+    },
+    {
+      "entropy": 5.480774354934693,
+      "epoch": 3.0613090306545154,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004372750913911306,
+      "loss": 5.1028,
+      "mean_token_accuracy": 0.18300070911645888,
+      "num_tokens": 6730055.0,
+      "step": 3695
+    },
+    {
+      "entropy": 5.446919918060303,
+      "epoch": 3.0654515327257665,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004370535701442679,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.17969694286584853,
+      "num_tokens": 6739310.0,
+      "step": 3700
+    },
+    {
+      "entropy": 5.54828953742981,
+      "epoch": 3.069594034797017,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043683172201764537,
+      "loss": 5.2581,
+      "mean_token_accuracy": 0.16716694980859756,
+      "num_tokens": 6748976.0,
+      "step": 3705
+    },
+    {
+      "entropy": 5.539231872558593,
+      "epoch": 3.0737365368682683,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004366095474587547,
+      "loss": 5.1044,
+      "mean_token_accuracy": 0.17598106861114501,
+      "num_tokens": 6758043.0,
+      "step": 3710
+    },
+    {
+      "entropy": 5.500854778289795,
+      "epoch": 3.0778790389395194,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00043638704691574646,
+      "loss": 5.163,
+      "mean_token_accuracy": 0.1786232903599739,
+      "num_tokens": 6767554.0,
+      "step": 3715
+    },
+    {
+      "entropy": 5.560473966598511,
+      "epoch": 3.0820215410107705,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004361642208374283,
+      "loss": 5.1882,
+      "mean_token_accuracy": 0.1666739672422409,
+      "num_tokens": 6776161.0,
+      "step": 3720
+    },
+    {
+      "entropy": 5.476630401611328,
+      "epoch": 3.0861640430820216,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043594106967326495,
+      "loss": 5.1169,
+      "mean_token_accuracy": 0.17555084377527236,
+      "num_tokens": 6785371.0,
+      "step": 3725
+    },
+    {
+      "entropy": 5.494755983352661,
+      "epoch": 3.0903065451532727,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00043571759387337665,
+      "loss": 5.1456,
+      "mean_token_accuracy": 0.1808715656399727,
+      "num_tokens": 6795242.0,
+      "step": 3730
+    },
+    {
+      "entropy": 5.591760492324829,
+      "epoch": 3.0944490472245234,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004354937938885385,
+      "loss": 5.2235,
+      "mean_token_accuracy": 0.17338325083255768,
+      "num_tokens": 6805423.0,
+      "step": 3735
+    },
+    {
+      "entropy": 5.464981889724731,
+      "epoch": 3.0985915492957745,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004352696701701796,
+      "loss": 5.1469,
+      "mean_token_accuracy": 0.17880967408418655,
+      "num_tokens": 6814377.0,
+      "step": 3740
+    },
+    {
+      "entropy": 5.448660278320313,
+      "epoch": 3.1027340513670256,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004350452231703819,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.18132367432117463,
+      "num_tokens": 6824025.0,
+      "step": 3745
+    },
+    {
+      "entropy": 5.550149536132812,
+      "epoch": 3.1068765534382767,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043482045334187954,
+      "loss": 5.1273,
+      "mean_token_accuracy": 0.18649032860994338,
+      "num_tokens": 6833071.0,
+      "step": 3750
+    },
+    {
+      "entropy": 5.442513799667358,
+      "epoch": 3.111019055509528,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043459536113805785,
+      "loss": 5.1076,
+      "mean_token_accuracy": 0.17443138360977173,
+      "num_tokens": 6841983.0,
+      "step": 3755
+    },
+    {
+      "entropy": 5.447629022598266,
+      "epoch": 3.115161557580779,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00043436994701295237,
+      "loss": 5.1043,
+      "mean_token_accuracy": 0.17914267033338546,
+      "num_tokens": 6851436.0,
+      "step": 3760
+    },
+    {
+      "entropy": 5.461205101013183,
+      "epoch": 3.1193040596520296,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00043414421142124804,
+      "loss": 5.1836,
+      "mean_token_accuracy": 0.1672696813941002,
+      "num_tokens": 6861810.0,
+      "step": 3765
+    },
+    {
+      "entropy": 5.478553342819214,
+      "epoch": 3.1234465617232807,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00043391815481827814,
+      "loss": 5.0639,
+      "mean_token_accuracy": 0.18850475996732713,
+      "num_tokens": 6870418.0,
+      "step": 3770
+    },
+    {
+      "entropy": 5.41155161857605,
+      "epoch": 3.127589063794532,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004336917776600237,
+      "loss": 5.0683,
+      "mean_token_accuracy": 0.18221812546253205,
+      "num_tokens": 6879419.0,
+      "step": 3775
+    },
+    {
+      "entropy": 5.435874891281128,
+      "epoch": 3.131731565865783,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004334650804031122,
+      "loss": 5.1852,
+      "mean_token_accuracy": 0.17172302156686783,
+      "num_tokens": 6888768.0,
+      "step": 3780
+    },
+    {
+      "entropy": 5.507850646972656,
+      "epoch": 3.135874067937034,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004332380635048165,
+      "loss": 5.1296,
+      "mean_token_accuracy": 0.17900288552045823,
+      "num_tokens": 6897133.0,
+      "step": 3785
+    },
+    {
+      "entropy": 5.485491752624512,
+      "epoch": 3.140016570008285,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00043301072742305474,
+      "loss": 5.1773,
+      "mean_token_accuracy": 0.17168077528476716,
+      "num_tokens": 6904976.0,
+      "step": 3790
+    },
+    {
+      "entropy": 5.537312364578247,
+      "epoch": 3.1441590720795363,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0004327830726163886,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.17883574068546296,
+      "num_tokens": 6915138.0,
+      "step": 3795
+    },
+    {
+      "entropy": 5.548703718185425,
+      "epoch": 3.148301574150787,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0004325550995440226,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.1752033144235611,
+      "num_tokens": 6923962.0,
+      "step": 3800
+    },
+    {
+      "entropy": 5.386642169952393,
+      "epoch": 3.152444076222038,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043232680866580356,
+      "loss": 5.1478,
+      "mean_token_accuracy": 0.17952724993228913,
+      "num_tokens": 6932102.0,
+      "step": 3805
+    },
+    {
+      "entropy": 5.464086627960205,
+      "epoch": 3.156586578293289,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00043209820044221893,
+      "loss": 5.153,
+      "mean_token_accuracy": 0.1785269558429718,
+      "num_tokens": 6940354.0,
+      "step": 3810
+    },
+    {
+      "entropy": 5.4963922023773195,
+      "epoch": 3.1607290803645403,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00043186927533439654,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.1716633692383766,
+      "num_tokens": 6949779.0,
+      "step": 3815
+    },
+    {
+      "entropy": 5.536400413513183,
+      "epoch": 3.1648715824357914,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043164003380410335,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.17445194274187087,
+      "num_tokens": 6958760.0,
+      "step": 3820
+    },
+    {
+      "entropy": 5.486375331878662,
+      "epoch": 3.169014084507042,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004314104763137445,
+      "loss": 5.1037,
+      "mean_token_accuracy": 0.18134674280881882,
+      "num_tokens": 6967535.0,
+      "step": 3825
+    },
+    {
+      "entropy": 5.469356393814087,
+      "epoch": 3.173156586578293,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043118060332636264,
+      "loss": 5.2036,
+      "mean_token_accuracy": 0.17774708271026612,
+      "num_tokens": 6976211.0,
+      "step": 3830
+    },
+    {
+      "entropy": 5.576221227645874,
+      "epoch": 3.1772990886495442,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043095041530563665,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.17325948774814606,
+      "num_tokens": 6986001.0,
+      "step": 3835
+    },
+    {
+      "entropy": 5.420689487457276,
+      "epoch": 3.1814415907207954,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00043071991271588104,
+      "loss": 5.2006,
+      "mean_token_accuracy": 0.18302187621593474,
+      "num_tokens": 6994568.0,
+      "step": 3840
+    },
+    {
+      "entropy": 5.52434401512146,
+      "epoch": 3.1855840927920465,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004304890960220446,
+      "loss": 5.2921,
+      "mean_token_accuracy": 0.16869494169950486,
+      "num_tokens": 7004744.0,
+      "step": 3845
+    },
+    {
+      "entropy": 5.520354557037353,
+      "epoch": 3.1897265948632976,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043025796568970975,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.1696591019630432,
+      "num_tokens": 7014315.0,
+      "step": 3850
+    },
+    {
+      "entropy": 5.523347425460815,
+      "epoch": 3.1938690969345487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043002652218509184,
+      "loss": 5.1172,
+      "mean_token_accuracy": 0.18450311720371246,
+      "num_tokens": 7022258.0,
+      "step": 3855
+    },
+    {
+      "entropy": 5.522213459014893,
+      "epoch": 3.1980115990057993,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004297947659750376,
+      "loss": 5.2587,
+      "mean_token_accuracy": 0.1674624815583229,
+      "num_tokens": 7031732.0,
+      "step": 3860
+    },
+    {
+      "entropy": 5.467557621002197,
+      "epoch": 3.2021541010770505,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004295626975270246,
+      "loss": 5.1818,
+      "mean_token_accuracy": 0.1766605108976364,
+      "num_tokens": 7040478.0,
+      "step": 3865
+    },
+    {
+      "entropy": 5.490935039520264,
+      "epoch": 3.2062966031483016,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00042933031730916024,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.18396904766559602,
+      "num_tokens": 7049360.0,
+      "step": 3870
+    },
+    {
+      "entropy": 5.5688018798828125,
+      "epoch": 3.2104391052195527,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000429097625790181,
+      "loss": 5.2267,
+      "mean_token_accuracy": 0.17498258501291275,
+      "num_tokens": 7059271.0,
+      "step": 3875
+    },
+    {
+      "entropy": 5.398471450805664,
+      "epoch": 3.2145816072908038,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004288646234394508,
+      "loss": 5.2177,
+      "mean_token_accuracy": 0.17296054661273957,
+      "num_tokens": 7069038.0,
+      "step": 3880
+    },
+    {
+      "entropy": 5.5407984256744385,
+      "epoch": 3.218724109362055,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00042863131072696115,
+      "loss": 5.1617,
+      "mean_token_accuracy": 0.17704827934503556,
+      "num_tokens": 7077971.0,
+      "step": 3885
+    },
+    {
+      "entropy": 5.4559561252594,
+      "epoch": 3.2228666114333056,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00042839768812332905,
+      "loss": 5.1612,
+      "mean_token_accuracy": 0.17406544089317322,
+      "num_tokens": 7086821.0,
+      "step": 3890
+    },
+    {
+      "entropy": 5.419722366333008,
+      "epoch": 3.2270091135045567,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000428163756099797,
+      "loss": 5.1859,
+      "mean_token_accuracy": 0.17225482910871506,
+      "num_tokens": 7095407.0,
+      "step": 3895
+    },
+    {
+      "entropy": 5.48249921798706,
+      "epoch": 3.2311516155758078,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004279295151282314,
+      "loss": 5.1116,
+      "mean_token_accuracy": 0.18240531533956528,
+      "num_tokens": 7103964.0,
+      "step": 3900
+    },
+    {
+      "entropy": 5.564240264892578,
+      "epoch": 3.235294117647059,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004276949656811217,
+      "loss": 5.251,
+      "mean_token_accuracy": 0.17079487890005113,
+      "num_tokens": 7113571.0,
+      "step": 3905
+    },
+    {
+      "entropy": 5.522033739089966,
+      "epoch": 3.23943661971831,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00042746010823158006,
+      "loss": 5.2738,
+      "mean_token_accuracy": 0.17067040055990218,
+      "num_tokens": 7122844.0,
+      "step": 3910
+    },
+    {
+      "entropy": 5.4324219703674315,
+      "epoch": 3.243579121789561,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042722494325333945,
+      "loss": 5.1326,
+      "mean_token_accuracy": 0.176889306306839,
+      "num_tokens": 7132123.0,
+      "step": 3915
+    },
+    {
+      "entropy": 5.458636379241943,
+      "epoch": 3.2477216238608118,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004269894712207533,
+      "loss": 5.1819,
+      "mean_token_accuracy": 0.18051923513412477,
+      "num_tokens": 7141068.0,
+      "step": 3920
+    },
+    {
+      "entropy": 5.43212571144104,
+      "epoch": 3.251864125932063,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004267536926087947,
+      "loss": 5.1925,
+      "mean_token_accuracy": 0.1708641156554222,
+      "num_tokens": 7150829.0,
+      "step": 3925
+    },
+    {
+      "entropy": 5.458031702041626,
+      "epoch": 3.256006628003314,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004265176078930545,
+      "loss": 5.1703,
+      "mean_token_accuracy": 0.17345706522464752,
+      "num_tokens": 7160814.0,
+      "step": 3930
+    },
+    {
+      "entropy": 5.498150825500488,
+      "epoch": 3.260149130074565,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00042628121754974166,
+      "loss": 5.2634,
+      "mean_token_accuracy": 0.17203340232372283,
+      "num_tokens": 7170085.0,
+      "step": 3935
+    },
+    {
+      "entropy": 5.590339422225952,
+      "epoch": 3.264291632145816,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004260445220556811,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.1736685037612915,
+      "num_tokens": 7179366.0,
+      "step": 3940
+    },
+    {
+      "entropy": 5.52174072265625,
+      "epoch": 3.2684341342170673,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00042580752188831376,
+      "loss": 5.2819,
+      "mean_token_accuracy": 0.17067586481571198,
+      "num_tokens": 7188342.0,
+      "step": 3945
+    },
+    {
+      "entropy": 5.556540441513062,
+      "epoch": 3.272576636288318,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004255702175256946,
+      "loss": 5.3095,
+      "mean_token_accuracy": 0.17531315684318544,
+      "num_tokens": 7197466.0,
+      "step": 3950
+    },
+    {
+      "entropy": 5.42687840461731,
+      "epoch": 3.276719138359569,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00042533260944649273,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17852312475442886,
+      "num_tokens": 7205462.0,
+      "step": 3955
+    },
+    {
+      "entropy": 5.424286890029907,
+      "epoch": 3.28086164043082,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004250946981299893,
+      "loss": 5.1838,
+      "mean_token_accuracy": 0.17682615667581558,
+      "num_tokens": 7215115.0,
+      "step": 3960
+    },
+    {
+      "entropy": 5.459038209915161,
+      "epoch": 3.2850041425020713,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00042485648405607776,
+      "loss": 5.1379,
+      "mean_token_accuracy": 0.17029522657394408,
+      "num_tokens": 7224909.0,
+      "step": 3965
+    },
+    {
+      "entropy": 5.392039203643799,
+      "epoch": 3.2891466445733224,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004246179677052617,
+      "loss": 5.0642,
+      "mean_token_accuracy": 0.18698266595602037,
+      "num_tokens": 7232946.0,
+      "step": 3970
+    },
+    {
+      "entropy": 5.362467432022095,
+      "epoch": 3.2932891466445735,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004243791495586547,
+      "loss": 5.1736,
+      "mean_token_accuracy": 0.17996304631233215,
+      "num_tokens": 7241104.0,
+      "step": 3975
+    },
+    {
+      "entropy": 5.567073392868042,
+      "epoch": 3.297431648715824,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004241400300979791,
+      "loss": 5.2257,
+      "mean_token_accuracy": 0.1786801502108574,
+      "num_tokens": 7250749.0,
+      "step": 3980
+    },
+    {
+      "entropy": 5.447740983963013,
+      "epoch": 3.3015741507870753,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004239006098055651,
+      "loss": 5.124,
+      "mean_token_accuracy": 0.1787547677755356,
+      "num_tokens": 7258687.0,
+      "step": 3985
+    },
+    {
+      "entropy": 5.41381049156189,
+      "epoch": 3.3057166528583264,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004236608891643494,
+      "loss": 5.1572,
+      "mean_token_accuracy": 0.17702401280403138,
+      "num_tokens": 7267316.0,
+      "step": 3990
+    },
+    {
+      "entropy": 5.448715782165527,
+      "epoch": 3.3098591549295775,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004234208686578748,
+      "loss": 5.1777,
+      "mean_token_accuracy": 0.17505329996347427,
+      "num_tokens": 7276734.0,
+      "step": 3995
+    },
+    {
+      "entropy": 5.440592193603516,
+      "epoch": 3.3140016570008286,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00042318054877028876,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17840310037136078,
+      "num_tokens": 7285916.0,
+      "step": 4000
+    },
+    {
+      "epoch": 3.3140016570008286,
+      "eval_entropy": 5.363256025416002,
+      "eval_loss": 5.893955707550049,
+      "eval_mean_token_accuracy": 0.15349840453819935,
+      "eval_num_tokens": 7285916.0,
+      "eval_runtime": 2.7471,
+      "eval_samples_per_second": 1363.961,
+      "eval_steps_per_second": 170.723,
+      "step": 4000
+    },
+    {
+      "entropy": 5.487448406219483,
+      "epoch": 3.3181441590720797,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042293992998634314,
+      "loss": 5.1667,
+      "mean_token_accuracy": 0.17779863625764847,
+      "num_tokens": 7294184.0,
+      "step": 4005
+    },
+    {
+      "entropy": 5.414953899383545,
+      "epoch": 3.3222866611433304,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004226990127913918,
+      "loss": 5.177,
+      "mean_token_accuracy": 0.1768763244152069,
+      "num_tokens": 7302647.0,
+      "step": 4010
+    },
+    {
+      "entropy": 5.442982530593872,
+      "epoch": 3.3264291632145815,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004224577976713915,
+      "loss": 5.2506,
+      "mean_token_accuracy": 0.16832198798656464,
+      "num_tokens": 7311455.0,
+      "step": 4015
+    },
+    {
+      "entropy": 5.609448575973511,
+      "epoch": 3.3305716652858326,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00042221628511289927,
+      "loss": 5.3136,
+      "mean_token_accuracy": 0.16625809520483018,
+      "num_tokens": 7320978.0,
+      "step": 4020
+    },
+    {
+      "entropy": 5.612923622131348,
+      "epoch": 3.3347141673570837,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004219744756030723,
+      "loss": 5.3273,
+      "mean_token_accuracy": 0.16872513592243193,
+      "num_tokens": 7330202.0,
+      "step": 4025
+    },
+    {
+      "entropy": 5.4015247344970705,
+      "epoch": 3.338856669428335,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00042173236962966706,
+      "loss": 5.1649,
+      "mean_token_accuracy": 0.17969190180301667,
+      "num_tokens": 7339121.0,
+      "step": 4030
+    },
+    {
+      "entropy": 5.492907905578614,
+      "epoch": 3.342999171499586,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004214899676810375,
+      "loss": 5.2251,
+      "mean_token_accuracy": 0.1665240079164505,
+      "num_tokens": 7348631.0,
+      "step": 4035
+    },
+    {
+      "entropy": 5.469464063644409,
+      "epoch": 3.347141673570837,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004212472702461348,
+      "loss": 5.1843,
+      "mean_token_accuracy": 0.1820875510573387,
+      "num_tokens": 7358354.0,
+      "step": 4040
+    },
+    {
+      "entropy": 5.454071807861328,
+      "epoch": 3.3512841756420877,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004210042778145064,
+      "loss": 5.2038,
+      "mean_token_accuracy": 0.17285584658384323,
+      "num_tokens": 7367031.0,
+      "step": 4045
+    },
+    {
+      "entropy": 5.436822319030762,
+      "epoch": 3.355426677713339,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00042076099087629443,
+      "loss": 5.2025,
+      "mean_token_accuracy": 0.1784903883934021,
+      "num_tokens": 7375996.0,
+      "step": 4050
+    },
+    {
+      "entropy": 5.552537536621093,
+      "epoch": 3.35956917978459,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00042051740992223534,
+      "loss": 5.2567,
+      "mean_token_accuracy": 0.16439318358898164,
+      "num_tokens": 7385355.0,
+      "step": 4055
+    },
+    {
+      "entropy": 5.402252960205078,
+      "epoch": 3.363711681855841,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004202735354436586,
+      "loss": 5.0999,
+      "mean_token_accuracy": 0.1792566418647766,
+      "num_tokens": 7394384.0,
+      "step": 4060
+    },
+    {
+      "entropy": 5.511481237411499,
+      "epoch": 3.367854183927092,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00042002936793248546,
+      "loss": 5.2458,
+      "mean_token_accuracy": 0.1770971804857254,
+      "num_tokens": 7403141.0,
+      "step": 4065
+    },
+    {
+      "entropy": 5.508409786224365,
+      "epoch": 3.371996685998343,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004197849078812286,
+      "loss": 5.199,
+      "mean_token_accuracy": 0.1739865079522133,
+      "num_tokens": 7413331.0,
+      "step": 4070
+    },
+    {
+      "entropy": 5.471702003479004,
+      "epoch": 3.376139188069594,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004195401557829907,
+      "loss": 5.2368,
+      "mean_token_accuracy": 0.17052597552537918,
+      "num_tokens": 7422362.0,
+      "step": 4075
+    },
+    {
+      "entropy": 5.4563977241516115,
+      "epoch": 3.380281690140845,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041929511213146343,
+      "loss": 5.1661,
+      "mean_token_accuracy": 0.18033864200115204,
+      "num_tokens": 7431350.0,
+      "step": 4080
+    },
+    {
+      "entropy": 5.4815953254699705,
+      "epoch": 3.384424192212096,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004190497774209266,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.1800685152411461,
+      "num_tokens": 7440382.0,
+      "step": 4085
+    },
+    {
+      "entropy": 5.51438536643982,
+      "epoch": 3.3885666942833472,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00041880415214624715,
+      "loss": 5.2355,
+      "mean_token_accuracy": 0.17847414761781694,
+      "num_tokens": 7449357.0,
+      "step": 4090
+    },
+    {
+      "entropy": 5.463125705718994,
+      "epoch": 3.3927091963545983,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004185582368028781,
+      "loss": 5.1468,
+      "mean_token_accuracy": 0.1853232800960541,
+      "num_tokens": 7457544.0,
+      "step": 4095
+    },
+    {
+      "entropy": 5.409591102600098,
+      "epoch": 3.3968516984258494,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004183120318868577,
+      "loss": 5.1616,
+      "mean_token_accuracy": 0.18774343580007552,
+      "num_tokens": 7465915.0,
+      "step": 4100
+    },
+    {
+      "entropy": 5.435869741439819,
+      "epoch": 3.4009942004971,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00041806553789480787,
+      "loss": 5.1161,
+      "mean_token_accuracy": 0.1833360970020294,
+      "num_tokens": 7474551.0,
+      "step": 4105
+    },
+    {
+      "entropy": 5.507905626296997,
+      "epoch": 3.405136702568351,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00041781875532393423,
+      "loss": 5.2287,
+      "mean_token_accuracy": 0.17473389357328414,
+      "num_tokens": 7483271.0,
+      "step": 4110
+    },
+    {
+      "entropy": 5.474280261993409,
+      "epoch": 3.4092792046396023,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00041757168467202404,
+      "loss": 5.2371,
+      "mean_token_accuracy": 0.17051266878843307,
+      "num_tokens": 7493179.0,
+      "step": 4115
+    },
+    {
+      "entropy": 5.47375521659851,
+      "epoch": 3.4134217067108534,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00041732432643744576,
+      "loss": 5.2132,
+      "mean_token_accuracy": 0.17562344074249267,
+      "num_tokens": 7501858.0,
+      "step": 4120
+    },
+    {
+      "entropy": 5.562008953094482,
+      "epoch": 3.4175642087821045,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004170766811191481,
+      "loss": 5.282,
+      "mean_token_accuracy": 0.16895801872014998,
+      "num_tokens": 7511817.0,
+      "step": 4125
+    },
+    {
+      "entropy": 5.3949895858764645,
+      "epoch": 3.421706710853355,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.0004168287492166587,
+      "loss": 5.2513,
+      "mean_token_accuracy": 0.175115604698658,
+      "num_tokens": 7521655.0,
+      "step": 4130
+    },
+    {
+      "entropy": 5.478516006469727,
+      "epoch": 3.4258492129246063,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041658053123008325,
+      "loss": 5.2289,
+      "mean_token_accuracy": 0.17174260020256044,
+      "num_tokens": 7531321.0,
+      "step": 4135
+    },
+    {
+      "entropy": 5.469200515747071,
+      "epoch": 3.4299917149958574,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004163320276601046,
+      "loss": 5.2104,
+      "mean_token_accuracy": 0.17538849860429764,
+      "num_tokens": 7540613.0,
+      "step": 4140
+    },
+    {
+      "entropy": 5.478423690795898,
+      "epoch": 3.4341342170671085,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004160832390079816,
+      "loss": 5.2823,
+      "mean_token_accuracy": 0.17514234632253647,
+      "num_tokens": 7549598.0,
+      "step": 4145
+    },
+    {
+      "entropy": 5.449503993988037,
+      "epoch": 3.4382767191383596,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00041583416577554815,
+      "loss": 5.1509,
+      "mean_token_accuracy": 0.18169643133878707,
+      "num_tokens": 7558738.0,
+      "step": 4150
+    },
+    {
+      "entropy": 5.454873323440552,
+      "epoch": 3.4424192212096107,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041558480846521213,
+      "loss": 5.1996,
+      "mean_token_accuracy": 0.17627429366111755,
+      "num_tokens": 7566873.0,
+      "step": 4155
+    },
+    {
+      "entropy": 5.413073778152466,
+      "epoch": 3.446561723280862,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041533516757995455,
+      "loss": 5.18,
+      "mean_token_accuracy": 0.1794169783592224,
+      "num_tokens": 7576645.0,
+      "step": 4160
+    },
+    {
+      "entropy": 5.449489498138428,
+      "epoch": 3.4507042253521125,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004150852436233283,
+      "loss": 5.1844,
+      "mean_token_accuracy": 0.17338148206472398,
+      "num_tokens": 7584854.0,
+      "step": 4165
+    },
+    {
+      "entropy": 5.500524044036865,
+      "epoch": 3.4548467274233636,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004148350370994574,
+      "loss": 5.3142,
+      "mean_token_accuracy": 0.16781232208013536,
+      "num_tokens": 7594022.0,
+      "step": 4170
+    },
+    {
+      "entropy": 5.458495187759399,
+      "epoch": 3.4589892294946147,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004145845485130357,
+      "loss": 5.1757,
+      "mean_token_accuracy": 0.17461147904396057,
+      "num_tokens": 7603259.0,
+      "step": 4175
+    },
+    {
+      "entropy": 5.453242301940918,
+      "epoch": 3.463131731565866,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00041433377836932594,
+      "loss": 5.2853,
+      "mean_token_accuracy": 0.1680028423666954,
+      "num_tokens": 7613451.0,
+      "step": 4180
+    },
+    {
+      "entropy": 5.533868455886841,
+      "epoch": 3.467274233637117,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00041408272717415913,
+      "loss": 5.245,
+      "mean_token_accuracy": 0.17225596755743028,
+      "num_tokens": 7622218.0,
+      "step": 4185
+    },
+    {
+      "entropy": 5.351213121414185,
+      "epoch": 3.4714167357083676,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004138313954339327,
+      "loss": 5.104,
+      "mean_token_accuracy": 0.17463669180870056,
+      "num_tokens": 7630508.0,
+      "step": 4190
+    },
+    {
+      "entropy": 5.488496780395508,
+      "epoch": 3.4755592377796187,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004135797836556106,
+      "loss": 5.1982,
+      "mean_token_accuracy": 0.181541608273983,
+      "num_tokens": 7640141.0,
+      "step": 4195
+    },
+    {
+      "entropy": 5.459699392318726,
+      "epoch": 3.47970173985087,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041332789234672094,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1721531167626381,
+      "num_tokens": 7648764.0,
+      "step": 4200
+    },
+    {
+      "entropy": 5.406872129440307,
+      "epoch": 3.483844241922121,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004130757220153561,
+      "loss": 5.1952,
+      "mean_token_accuracy": 0.18173792064189911,
+      "num_tokens": 7658642.0,
+      "step": 4205
+    },
+    {
+      "entropy": 5.544135618209839,
+      "epoch": 3.487986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004128232731701712,
+      "loss": 5.377,
+      "mean_token_accuracy": 0.16519460082054138,
+      "num_tokens": 7667524.0,
+      "step": 4210
+    },
+    {
+      "entropy": 5.488169002532959,
+      "epoch": 3.492129246064623,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004125705463203833,
+      "loss": 5.1928,
+      "mean_token_accuracy": 0.18297115415334703,
+      "num_tokens": 7675800.0,
+      "step": 4215
+    },
+    {
+      "entropy": 5.490040969848633,
+      "epoch": 3.4962717481358743,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041231754197576986,
+      "loss": 5.2252,
+      "mean_token_accuracy": 0.1757526621222496,
+      "num_tokens": 7683742.0,
+      "step": 4220
+    },
+    {
+      "entropy": 5.468280076980591,
+      "epoch": 3.5004142502071254,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004120642606466685,
+      "loss": 5.2278,
+      "mean_token_accuracy": 0.1796238511800766,
+      "num_tokens": 7692379.0,
+      "step": 4225
+    },
+    {
+      "entropy": 5.494374942779541,
+      "epoch": 3.504556752278376,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004118107028439751,
+      "loss": 5.2138,
+      "mean_token_accuracy": 0.17588699012994766,
+      "num_tokens": 7702156.0,
+      "step": 4230
+    },
+    {
+      "entropy": 5.467664003372192,
+      "epoch": 3.508699254349627,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00041155686907914365,
+      "loss": 5.2275,
+      "mean_token_accuracy": 0.1754150867462158,
+      "num_tokens": 7712135.0,
+      "step": 4235
+    },
+    {
+      "entropy": 5.451332426071167,
+      "epoch": 3.5128417564208783,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004113027598641845,
+      "loss": 5.1785,
+      "mean_token_accuracy": 0.1752738744020462,
+      "num_tokens": 7721347.0,
+      "step": 4240
+    },
+    {
+      "entropy": 5.471200275421142,
+      "epoch": 3.5169842584921294,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004110483757116637,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.1789921909570694,
+      "num_tokens": 7731351.0,
+      "step": 4245
+    },
+    {
+      "entropy": 5.433224248886108,
+      "epoch": 3.52112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00041079371713470195,
+      "loss": 5.0996,
+      "mean_token_accuracy": 0.18778069019317628,
+      "num_tokens": 7740413.0,
+      "step": 4250
+    },
+    {
+      "entropy": 5.416608476638794,
+      "epoch": 3.525269262634631,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041053878464697343,
+      "loss": 5.1977,
+      "mean_token_accuracy": 0.18009850829839708,
+      "num_tokens": 7749319.0,
+      "step": 4255
+    },
+    {
+      "entropy": 5.519042015075684,
+      "epoch": 3.5294117647058822,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004102835787627047,
+      "loss": 5.2446,
+      "mean_token_accuracy": 0.17312991321086885,
+      "num_tokens": 7757936.0,
+      "step": 4260
+    },
+    {
+      "entropy": 5.542943048477173,
+      "epoch": 3.5335542667771334,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004100280999966741,
+      "loss": 5.3083,
+      "mean_token_accuracy": 0.17331433892250062,
+      "num_tokens": 7767349.0,
+      "step": 4265
+    },
+    {
+      "entropy": 5.4042651653289795,
+      "epoch": 3.5376967688483845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00040977234886421007,
+      "loss": 5.1133,
+      "mean_token_accuracy": 0.17731781899929047,
+      "num_tokens": 7776448.0,
+      "step": 4270
+    },
+    {
+      "entropy": 5.4222177028656,
+      "epoch": 3.5418392709196356,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040951632588119064,
+      "loss": 5.209,
+      "mean_token_accuracy": 0.17401482313871383,
+      "num_tokens": 7785768.0,
+      "step": 4275
+    },
+    {
+      "entropy": 5.600345802307129,
+      "epoch": 3.5459817729908867,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004092600315640422,
+      "loss": 5.2999,
+      "mean_token_accuracy": 0.1715576618909836,
+      "num_tokens": 7794803.0,
+      "step": 4280
+    },
+    {
+      "entropy": 5.411063814163208,
+      "epoch": 3.550124275062138,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004090034664297382,
+      "loss": 5.157,
+      "mean_token_accuracy": 0.17963247746229172,
+      "num_tokens": 7803533.0,
+      "step": 4285
+    },
+    {
+      "entropy": 5.421855831146241,
+      "epoch": 3.5542667771333885,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00040874663099579883,
+      "loss": 5.2246,
+      "mean_token_accuracy": 0.1706953912973404,
+      "num_tokens": 7812854.0,
+      "step": 4290
+    },
+    {
+      "entropy": 5.49954047203064,
+      "epoch": 3.5584092792046396,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040848952578028915,
+      "loss": 5.1628,
+      "mean_token_accuracy": 0.174958436191082,
+      "num_tokens": 7821683.0,
+      "step": 4295
+    },
+    {
+      "entropy": 5.501424264907837,
+      "epoch": 3.5625517812758907,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004082321513018183,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.18335361480712892,
+      "num_tokens": 7830967.0,
+      "step": 4300
+    },
+    {
+      "entropy": 5.48747296333313,
+      "epoch": 3.566694283347142,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00040797450807953897,
+      "loss": 5.2159,
+      "mean_token_accuracy": 0.17444179207086563,
+      "num_tokens": 7841179.0,
+      "step": 4305
+    },
+    {
+      "entropy": 5.489819192886353,
+      "epoch": 3.5708367854183924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004077165966331454,
+      "loss": 5.1587,
+      "mean_token_accuracy": 0.1852751389145851,
+      "num_tokens": 7849841.0,
+      "step": 4310
+    },
+    {
+      "entropy": 5.301797342300415,
+      "epoch": 3.5749792874896436,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004074584174828735,
+      "loss": 5.2184,
+      "mean_token_accuracy": 0.1747626096010208,
+      "num_tokens": 7859390.0,
+      "step": 4315
+    },
+    {
+      "entropy": 5.493851947784424,
+      "epoch": 3.5791217895608947,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040719997114949856,
+      "loss": 5.1913,
+      "mean_token_accuracy": 0.17565421015024185,
+      "num_tokens": 7868848.0,
+      "step": 4320
+    },
+    {
+      "entropy": 5.506833124160766,
+      "epoch": 3.5832642916321458,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040694125815433533,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.18058759868144988,
+      "num_tokens": 7877521.0,
+      "step": 4325
+    },
+    {
+      "entropy": 5.488465976715088,
+      "epoch": 3.587406793703397,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004066822790192359,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.17181889414787294,
+      "num_tokens": 7886355.0,
+      "step": 4330
+    },
+    {
+      "entropy": 5.437413024902344,
+      "epoch": 3.591549295774648,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00040642303426658967,
+      "loss": 5.2518,
+      "mean_token_accuracy": 0.17224401384592056,
+      "num_tokens": 7895028.0,
+      "step": 4335
+    },
+    {
+      "entropy": 5.379445266723633,
+      "epoch": 3.595691797845899,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040616352441932163,
+      "loss": 5.1282,
+      "mean_token_accuracy": 0.17695483118295668,
+      "num_tokens": 7904192.0,
+      "step": 4340
+    },
+    {
+      "entropy": 5.439553546905517,
+      "epoch": 3.59983429991715,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00040590375000089146,
+      "loss": 5.2066,
+      "mean_token_accuracy": 0.17032651007175445,
+      "num_tokens": 7912328.0,
+      "step": 4345
+    },
+    {
+      "entropy": 5.5121315002441404,
+      "epoch": 3.603976801988401,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00040564371153529256,
+      "loss": 5.2517,
+      "mean_token_accuracy": 0.1720314145088196,
+      "num_tokens": 7922594.0,
+      "step": 4350
+    },
+    {
+      "entropy": 5.450373315811158,
+      "epoch": 3.608119304059652,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004053834095470509,
+      "loss": 5.2201,
+      "mean_token_accuracy": 0.16222715824842454,
+      "num_tokens": 7932345.0,
+      "step": 4355
+    },
+    {
+      "entropy": 5.505369853973389,
+      "epoch": 3.612261806130903,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00040512284456122407,
+      "loss": 5.2236,
+      "mean_token_accuracy": 0.17660728394985198,
+      "num_tokens": 7942800.0,
+      "step": 4360
+    },
+    {
+      "entropy": 5.410261583328247,
+      "epoch": 3.616404308202154,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00040486201710340016,
+      "loss": 5.1287,
+      "mean_token_accuracy": 0.1859680861234665,
+      "num_tokens": 7951094.0,
+      "step": 4365
+    },
+    {
+      "entropy": 5.429905796051026,
+      "epoch": 3.6205468102734053,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040460092769969654,
+      "loss": 5.1947,
+      "mean_token_accuracy": 0.17089750617742538,
+      "num_tokens": 7960652.0,
+      "step": 4370
+    },
+    {
+      "entropy": 5.518308162689209,
+      "epoch": 3.624689312344656,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004043395768767592,
+      "loss": 5.2977,
+      "mean_token_accuracy": 0.16983983814716339,
+      "num_tokens": 7969350.0,
+      "step": 4375
+    },
+    {
+      "entropy": 5.475090789794922,
+      "epoch": 3.628831814415907,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004040779651617612,
+      "loss": 5.1831,
+      "mean_token_accuracy": 0.1762356474995613,
+      "num_tokens": 7978969.0,
+      "step": 4380
+    },
+    {
+      "entropy": 5.422111892700196,
+      "epoch": 3.632974316487158,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040381609308240207,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.1777448311448097,
+      "num_tokens": 7988531.0,
+      "step": 4385
+    },
+    {
+      "entropy": 5.423072242736817,
+      "epoch": 3.6371168185584093,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040355396116690634,
+      "loss": 5.1864,
+      "mean_token_accuracy": 0.17186058908700944,
+      "num_tokens": 7996576.0,
+      "step": 4390
+    },
+    {
+      "entropy": 5.435235500335693,
+      "epoch": 3.6412593206296604,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004032915699440227,
+      "loss": 5.2216,
+      "mean_token_accuracy": 0.17088689655065536,
+      "num_tokens": 8006279.0,
+      "step": 4395
+    },
+    {
+      "entropy": 5.496079921722412,
+      "epoch": 3.6454018227009115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000403028919943023,
+      "loss": 5.2049,
+      "mean_token_accuracy": 0.17314011603593826,
+      "num_tokens": 8015476.0,
+      "step": 4400
+    },
+    {
+      "entropy": 5.474205350875854,
+      "epoch": 3.6495443247721626,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004027660116937009,
+      "loss": 5.2326,
+      "mean_token_accuracy": 0.17077937126159667,
+      "num_tokens": 8025450.0,
+      "step": 4405
+    },
+    {
+      "entropy": 5.4402251720428465,
+      "epoch": 3.6536868268434133,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004025028457263712,
+      "loss": 5.2238,
+      "mean_token_accuracy": 0.17810273319482803,
+      "num_tokens": 8034850.0,
+      "step": 4410
+    },
+    {
+      "entropy": 5.3980237483978275,
+      "epoch": 3.6578293289146644,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004022394225718684,
+      "loss": 5.1709,
+      "mean_token_accuracy": 0.17368220686912536,
+      "num_tokens": 8044526.0,
+      "step": 4415
+    },
+    {
+      "entropy": 5.446775197982788,
+      "epoch": 3.6619718309859155,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004019757427615456,
+      "loss": 5.1341,
+      "mean_token_accuracy": 0.17317759096622468,
+      "num_tokens": 8054033.0,
+      "step": 4420
+    },
+    {
+      "entropy": 5.478370094299317,
+      "epoch": 3.6661143330571666,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0004017118068272739,
+      "loss": 5.2298,
+      "mean_token_accuracy": 0.17926038503646852,
+      "num_tokens": 8063535.0,
+      "step": 4425
+    },
+    {
+      "entropy": 5.495908880233765,
+      "epoch": 3.6702568351284177,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040144761530144096,
+      "loss": 5.2181,
+      "mean_token_accuracy": 0.18870080262422562,
+      "num_tokens": 8073079.0,
+      "step": 4430
+    },
+    {
+      "entropy": 5.367459678649903,
+      "epoch": 3.6743993371996684,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00040118316871695,
+      "loss": 5.1505,
+      "mean_token_accuracy": 0.18230827152729034,
+      "num_tokens": 8082925.0,
+      "step": 4435
+    },
+    {
+      "entropy": 5.457099437713623,
+      "epoch": 3.6785418392709195,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040091846760721857,
+      "loss": 5.2466,
+      "mean_token_accuracy": 0.17278454601764678,
+      "num_tokens": 8092038.0,
+      "step": 4440
+    },
+    {
+      "entropy": 5.460009002685547,
+      "epoch": 3.6826843413421706,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040065351250617774,
+      "loss": 5.2137,
+      "mean_token_accuracy": 0.1679331600666046,
+      "num_tokens": 8101581.0,
+      "step": 4445
+    },
+    {
+      "entropy": 5.392482471466065,
+      "epoch": 3.6868268434134217,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00040038830394827107,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.17032679468393325,
+      "num_tokens": 8111392.0,
+      "step": 4450
+    },
+    {
+      "entropy": 5.5369532108306885,
+      "epoch": 3.690969345484673,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000400122842468453,
+      "loss": 5.2742,
+      "mean_token_accuracy": 0.16916199624538422,
+      "num_tokens": 8120941.0,
+      "step": 4455
+    },
+    {
+      "entropy": 5.403111267089844,
+      "epoch": 3.695111847555924,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003998571286021884,
+      "loss": 5.1822,
+      "mean_token_accuracy": 0.1721450611948967,
+      "num_tokens": 8129983.0,
+      "step": 4460
+    },
+    {
+      "entropy": 5.482623481750489,
+      "epoch": 3.699254349627175,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003995911628854512,
+      "loss": 5.3064,
+      "mean_token_accuracy": 0.1740827202796936,
+      "num_tokens": 8139428.0,
+      "step": 4465
+    },
+    {
+      "entropy": 5.509563970565796,
+      "epoch": 3.7033968516984257,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003993249458547234,
+      "loss": 5.2302,
+      "mean_token_accuracy": 0.16980735808610917,
+      "num_tokens": 8148520.0,
+      "step": 4470
+    },
+    {
+      "entropy": 5.3746521949768065,
+      "epoch": 3.707539353769677,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039905847804699363,
+      "loss": 5.0676,
+      "mean_token_accuracy": 0.18766331672668457,
+      "num_tokens": 8156908.0,
+      "step": 4475
+    },
+    {
+      "entropy": 5.446433591842651,
+      "epoch": 3.711681855840928,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00039879175999975677,
+      "loss": 5.2156,
+      "mean_token_accuracy": 0.18001207262277602,
+      "num_tokens": 8165677.0,
+      "step": 4480
+    },
+    {
+      "entropy": 5.386814975738526,
+      "epoch": 3.715824357912179,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00039852479225101217,
+      "loss": 5.1883,
+      "mean_token_accuracy": 0.17356531620025634,
+      "num_tokens": 8174786.0,
+      "step": 4485
+    },
+    {
+      "entropy": 5.454575872421264,
+      "epoch": 3.71996685998343,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00039825757533926305,
+      "loss": 5.2484,
+      "mean_token_accuracy": 0.16340016275644303,
+      "num_tokens": 8184150.0,
+      "step": 4490
+    },
+    {
+      "entropy": 5.4400050163269045,
+      "epoch": 3.724109362054681,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039799010980351494,
+      "loss": 5.1455,
+      "mean_token_accuracy": 0.1879016414284706,
+      "num_tokens": 8192257.0,
+      "step": 4495
+    },
+    {
+      "entropy": 5.452324247360229,
+      "epoch": 3.728251864125932,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00039772239618327535,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.1748780906200409,
+      "num_tokens": 8201041.0,
+      "step": 4500
+    },
+    {
+      "epoch": 3.728251864125932,
+      "eval_entropy": 5.297962182620441,
+      "eval_loss": 5.854063987731934,
+      "eval_mean_token_accuracy": 0.15576711011085428,
+      "eval_num_tokens": 8201041.0,
+      "eval_runtime": 2.7449,
+      "eval_samples_per_second": 1365.057,
+      "eval_steps_per_second": 170.86,
+      "step": 4500
+    },
+    {
+      "entropy": 5.430630874633789,
+      "epoch": 3.732394366197183,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00039745443501855156,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18020173758268357,
+      "num_tokens": 8209881.0,
+      "step": 4505
+    },
+    {
+      "entropy": 5.426507759094238,
+      "epoch": 3.736536868268434,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039718622684985075,
+      "loss": 5.2198,
+      "mean_token_accuracy": 0.1857784554362297,
+      "num_tokens": 8218504.0,
+      "step": 4510
+    },
+    {
+      "entropy": 5.427436780929566,
+      "epoch": 3.7406793703396852,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000396917772218178,
+      "loss": 5.0397,
+      "mean_token_accuracy": 0.19483556151390075,
+      "num_tokens": 8226785.0,
+      "step": 4515
+    },
+    {
+      "entropy": 5.463036251068115,
+      "epoch": 3.7448218724109363,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0003966490716650357,
+      "loss": 5.1879,
+      "mean_token_accuracy": 0.1808652698993683,
+      "num_tokens": 8236092.0,
+      "step": 4520
+    },
+    {
+      "entropy": 5.398115777969361,
+      "epoch": 3.7489643744821874,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039638012573242225,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18426763266324997,
+      "num_tokens": 8245297.0,
+      "step": 4525
+    },
+    {
+      "entropy": 5.498414611816406,
+      "epoch": 3.7531068765534386,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003961109349628309,
+      "loss": 5.2544,
+      "mean_token_accuracy": 0.16994525790214537,
+      "num_tokens": 8254772.0,
+      "step": 4530
+    },
+    {
+      "entropy": 5.488787031173706,
+      "epoch": 3.757249378624689,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000395841499899249,
+      "loss": 5.3168,
+      "mean_token_accuracy": 0.1684611275792122,
+      "num_tokens": 8264310.0,
+      "step": 4535
+    },
+    {
+      "entropy": 5.4844201564788815,
+      "epoch": 3.7613918806959403,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00039557182108515624,
+      "loss": 5.2197,
+      "mean_token_accuracy": 0.1802253693342209,
+      "num_tokens": 8274184.0,
+      "step": 4540
+    },
+    {
+      "entropy": 5.40406289100647,
+      "epoch": 3.7655343827671914,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039530189906452457,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.18066346347332002,
+      "num_tokens": 8283151.0,
+      "step": 4545
+    },
+    {
+      "entropy": 5.490919494628907,
+      "epoch": 3.7696768848384425,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00039503173438181605,
+      "loss": 5.2375,
+      "mean_token_accuracy": 0.16958207488059998,
+      "num_tokens": 8292574.0,
+      "step": 4550
+    },
+    {
+      "entropy": 5.37688570022583,
+      "epoch": 3.773819386909693,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039476132758198236,
+      "loss": 5.1589,
+      "mean_token_accuracy": 0.17906700521707536,
+      "num_tokens": 8301281.0,
+      "step": 4555
+    },
+    {
+      "entropy": 5.404768991470337,
+      "epoch": 3.7779618889809443,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039449067921046353,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.184201979637146,
+      "num_tokens": 8310201.0,
+      "step": 4560
+    },
+    {
+      "entropy": 5.5153802871704105,
+      "epoch": 3.7821043910521954,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00039421978981318703,
+      "loss": 5.243,
+      "mean_token_accuracy": 0.17428653091192245,
+      "num_tokens": 8320369.0,
+      "step": 4565
+    },
+    {
+      "entropy": 5.490174674987793,
+      "epoch": 3.7862468931234465,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00039394865993656625,
+      "loss": 5.2332,
+      "mean_token_accuracy": 0.17829314470291138,
+      "num_tokens": 8329519.0,
+      "step": 4570
+    },
+    {
+      "entropy": 5.4183516025543215,
+      "epoch": 3.7903893951946976,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003936772901274999,
+      "loss": 5.2233,
+      "mean_token_accuracy": 0.16786337196826934,
+      "num_tokens": 8338282.0,
+      "step": 4575
+    },
+    {
+      "entropy": 5.422275066375732,
+      "epoch": 3.7945318972659487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003934056809333705,
+      "loss": 5.2367,
+      "mean_token_accuracy": 0.1760738953948021,
+      "num_tokens": 8346861.0,
+      "step": 4580
+    },
+    {
+      "entropy": 5.493864250183106,
+      "epoch": 3.7986743993372,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039313383290204333,
+      "loss": 5.2689,
+      "mean_token_accuracy": 0.16675272732973098,
+      "num_tokens": 8356078.0,
+      "step": 4585
+    },
+    {
+      "entropy": 5.449766826629639,
+      "epoch": 3.802816901408451,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003928617465818658,
+      "loss": 5.2279,
+      "mean_token_accuracy": 0.16728012412786483,
+      "num_tokens": 8365487.0,
+      "step": 4590
+    },
+    {
+      "entropy": 5.477828598022461,
+      "epoch": 3.8069594034797016,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00039258942252166554,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.17344195693731307,
+      "num_tokens": 8374622.0,
+      "step": 4595
+    },
+    {
+      "entropy": 5.467281007766724,
+      "epoch": 3.8111019055509527,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003923168612707502,
+      "loss": 5.1437,
+      "mean_token_accuracy": 0.1838704138994217,
+      "num_tokens": 8383312.0,
+      "step": 4600
+    },
+    {
+      "entropy": 5.375951862335205,
+      "epoch": 3.815244407622204,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003920440633789053,
+      "loss": 5.1668,
+      "mean_token_accuracy": 0.17426021844148637,
+      "num_tokens": 8391987.0,
+      "step": 4605
+    },
+    {
+      "entropy": 5.411648225784302,
+      "epoch": 3.819386909693455,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039177102939639424,
+      "loss": 5.1782,
+      "mean_token_accuracy": 0.17309755831956863,
+      "num_tokens": 8401263.0,
+      "step": 4610
+    },
+    {
+      "entropy": 5.520602798461914,
+      "epoch": 3.8235294117647056,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003914977598739563,
+      "loss": 5.1998,
+      "mean_token_accuracy": 0.18663258850574493,
+      "num_tokens": 8410110.0,
+      "step": 4615
+    },
+    {
+      "entropy": 5.505752420425415,
+      "epoch": 3.8276719138359567,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003912242553628059,
+      "loss": 5.2827,
+      "mean_token_accuracy": 0.16937017440795898,
+      "num_tokens": 8419321.0,
+      "step": 4620
+    },
+    {
+      "entropy": 5.470319938659668,
+      "epoch": 3.831814415907208,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003909505164146318,
+      "loss": 5.2512,
+      "mean_token_accuracy": 0.17635022550821305,
+      "num_tokens": 8428376.0,
+      "step": 4625
+    },
+    {
+      "entropy": 5.446829080581665,
+      "epoch": 3.835956917978459,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000390676543581595,
+      "loss": 5.1826,
+      "mean_token_accuracy": 0.1743323564529419,
+      "num_tokens": 8437263.0,
+      "step": 4630
+    },
+    {
+      "entropy": 5.361465311050415,
+      "epoch": 3.84009942004971,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003904023374163289,
+      "loss": 5.1943,
+      "mean_token_accuracy": 0.17949013262987137,
+      "num_tokens": 8445889.0,
+      "step": 4635
+    },
+    {
+      "entropy": 5.503735971450806,
+      "epoch": 3.844241922120961,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003901278984719372,
+      "loss": 5.3739,
+      "mean_token_accuracy": 0.16415481567382811,
+      "num_tokens": 8456086.0,
+      "step": 4640
+    },
+    {
+      "entropy": 5.492273569107056,
+      "epoch": 3.8483844241922123,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00038985322730199326,
+      "loss": 5.2018,
+      "mean_token_accuracy": 0.1795567825436592,
+      "num_tokens": 8465150.0,
+      "step": 4645
+    },
+    {
+      "entropy": 5.431647396087646,
+      "epoch": 3.8525269262634634,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003895783244605389,
+      "loss": 5.2783,
+      "mean_token_accuracy": 0.1720671087503433,
+      "num_tokens": 8474172.0,
+      "step": 4650
+    },
+    {
+      "entropy": 5.404905462265015,
+      "epoch": 3.856669428334714,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00038930319050208315,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.18708953112363816,
+      "num_tokens": 8483636.0,
+      "step": 4655
+    },
+    {
+      "entropy": 5.408392810821534,
+      "epoch": 3.860811930405965,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00038902782598160127,
+      "loss": 5.1091,
+      "mean_token_accuracy": 0.1881578117609024,
+      "num_tokens": 8491560.0,
+      "step": 4660
+    },
+    {
+      "entropy": 5.484521150588989,
+      "epoch": 3.8649544324772163,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00038875223145453346,
+      "loss": 5.4046,
+      "mean_token_accuracy": 0.17662398070096968,
+      "num_tokens": 8501685.0,
+      "step": 4665
+    },
+    {
+      "entropy": 5.551066589355469,
+      "epoch": 3.8690969345484674,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003884764074767842,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.17176942974328996,
+      "num_tokens": 8510580.0,
+      "step": 4670
+    },
+    {
+      "entropy": 5.477302551269531,
+      "epoch": 3.873239436619718,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003882003546047205,
+      "loss": 5.2013,
+      "mean_token_accuracy": 0.17522621154785156,
+      "num_tokens": 8519595.0,
+      "step": 4675
+    },
+    {
+      "entropy": 5.506098508834839,
+      "epoch": 3.877381938690969,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00038792407339517123,
+      "loss": 5.2786,
+      "mean_token_accuracy": 0.17400375306606292,
+      "num_tokens": 8529118.0,
+      "step": 4680
+    },
+    {
+      "entropy": 5.507658243179321,
+      "epoch": 3.8815244407622203,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00038764756440542574,
+      "loss": 5.2477,
+      "mean_token_accuracy": 0.17185091674327851,
+      "num_tokens": 8539322.0,
+      "step": 4685
+    },
+    {
+      "entropy": 5.454025650024414,
+      "epoch": 3.8856669428334714,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038737082819323285,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.17740404605865479,
+      "num_tokens": 8548707.0,
+      "step": 4690
+    },
+    {
+      "entropy": 5.427890157699585,
+      "epoch": 3.8898094449047225,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00038709386531679974,
+      "loss": 5.2576,
+      "mean_token_accuracy": 0.1718251511454582,
+      "num_tokens": 8557500.0,
+      "step": 4695
+    },
+    {
+      "entropy": 5.436252593994141,
+      "epoch": 3.8939519469759736,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00038681667633479086,
+      "loss": 5.2621,
+      "mean_token_accuracy": 0.1682343602180481,
+      "num_tokens": 8567465.0,
+      "step": 4700
+    },
+    {
+      "entropy": 5.381856250762939,
+      "epoch": 3.8980944490472247,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038653926180632665,
+      "loss": 5.1165,
+      "mean_token_accuracy": 0.18321423530578612,
+      "num_tokens": 8576680.0,
+      "step": 4705
+    },
+    {
+      "entropy": 5.495894527435302,
+      "epoch": 3.902236951118476,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00038626162229098257,
+      "loss": 5.2631,
+      "mean_token_accuracy": 0.16617788672447203,
+      "num_tokens": 8585539.0,
+      "step": 4710
+    },
+    {
+      "entropy": 5.400326347351074,
+      "epoch": 3.9063794531897265,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003859837583487877,
+      "loss": 5.1007,
+      "mean_token_accuracy": 0.18613590002059938,
+      "num_tokens": 8593598.0,
+      "step": 4715
+    },
+    {
+      "entropy": 5.4148589134216305,
+      "epoch": 3.9105219552609776,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003857056705402241,
+      "loss": 5.236,
+      "mean_token_accuracy": 0.1721765860915184,
+      "num_tokens": 8603440.0,
+      "step": 4720
+    },
+    {
+      "entropy": 5.384281969070434,
+      "epoch": 3.9146644573322287,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003854273594262253,
+      "loss": 5.0591,
+      "mean_token_accuracy": 0.1858549162745476,
+      "num_tokens": 8612490.0,
+      "step": 4725
+    },
+    {
+      "entropy": 5.387153816223145,
+      "epoch": 3.91880695940348,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003851488255681752,
+      "loss": 5.1508,
+      "mean_token_accuracy": 0.17980385273694993,
+      "num_tokens": 8621994.0,
+      "step": 4730
+    },
+    {
+      "entropy": 5.462166833877563,
+      "epoch": 3.922949461474731,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000384870069527907,
+      "loss": 5.2269,
+      "mean_token_accuracy": 0.16994049549102783,
+      "num_tokens": 8631185.0,
+      "step": 4735
+    },
+    {
+      "entropy": 5.445327711105347,
+      "epoch": 3.9270919635459816,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00038459109186770213,
+      "loss": 5.1201,
+      "mean_token_accuracy": 0.18937034606933595,
+      "num_tokens": 8639018.0,
+      "step": 4740
+    },
+    {
+      "entropy": 5.365725660324097,
+      "epoch": 3.9312344656172327,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00038431189315028905,
+      "loss": 5.1293,
+      "mean_token_accuracy": 0.1805494785308838,
+      "num_tokens": 8647672.0,
+      "step": 4745
+    },
+    {
+      "entropy": 5.42286114692688,
+      "epoch": 3.9353769676884838,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003840324739388419,
+      "loss": 5.2659,
+      "mean_token_accuracy": 0.16662627309560776,
+      "num_tokens": 8656638.0,
+      "step": 4750
+    },
+    {
+      "entropy": 5.4803203582763675,
+      "epoch": 3.939519469759735,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00038375283479698,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.18231208473443986,
+      "num_tokens": 8666167.0,
+      "step": 4755
+    },
+    {
+      "entropy": 5.505121231079102,
+      "epoch": 3.943661971830986,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003834729762887659,
+      "loss": 5.3067,
+      "mean_token_accuracy": 0.16447765678167342,
+      "num_tokens": 8676435.0,
+      "step": 4760
+    },
+    {
+      "entropy": 5.413615751266479,
+      "epoch": 3.947804473902237,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003831928989787049,
+      "loss": 5.1808,
+      "mean_token_accuracy": 0.18012969940900803,
+      "num_tokens": 8686011.0,
+      "step": 4765
+    },
+    {
+      "entropy": 5.463970613479614,
+      "epoch": 3.951946975973488,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003829126034317435,
+      "loss": 5.1959,
+      "mean_token_accuracy": 0.17213619947433473,
+      "num_tokens": 8695063.0,
+      "step": 4770
+    },
+    {
+      "entropy": 5.517300796508789,
+      "epoch": 3.956089478044739,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003826320902132684,
+      "loss": 5.299,
+      "mean_token_accuracy": 0.16880902647972107,
+      "num_tokens": 8704585.0,
+      "step": 4775
+    },
+    {
+      "entropy": 5.469470262527466,
+      "epoch": 3.96023198011599,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038235135988910545,
+      "loss": 5.2111,
+      "mean_token_accuracy": 0.17501715570688248,
+      "num_tokens": 8714097.0,
+      "step": 4780
+    },
+    {
+      "entropy": 5.433980226516724,
+      "epoch": 3.964374482187241,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00038207041302551844,
+      "loss": 5.1327,
+      "mean_token_accuracy": 0.1802523225545883,
+      "num_tokens": 8722890.0,
+      "step": 4785
+    },
+    {
+      "entropy": 5.36038613319397,
+      "epoch": 3.968516984258492,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003817892501892078,
+      "loss": 5.1474,
+      "mean_token_accuracy": 0.18226009160280227,
+      "num_tokens": 8732046.0,
+      "step": 4790
+    },
+    {
+      "entropy": 5.385818529129028,
+      "epoch": 3.9726594863297433,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038150787194730977,
+      "loss": 5.1867,
+      "mean_token_accuracy": 0.18098812699317932,
+      "num_tokens": 8741750.0,
+      "step": 4795
+    },
+    {
+      "entropy": 5.49769434928894,
+      "epoch": 3.976801988400994,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000381226278867395,
+      "loss": 5.1585,
+      "mean_token_accuracy": 0.17722393125295638,
+      "num_tokens": 8750141.0,
+      "step": 4800
+    },
+    {
+      "entropy": 5.3994584560394285,
+      "epoch": 3.980944490472245,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00038094447151746746,
+      "loss": 5.0956,
+      "mean_token_accuracy": 0.18723244071006775,
+      "num_tokens": 8758567.0,
+      "step": 4805
+    },
+    {
+      "entropy": 5.376461982727051,
+      "epoch": 3.985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003806624504659635,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1782562255859375,
+      "num_tokens": 8767829.0,
+      "step": 4810
+    },
+    {
+      "entropy": 5.416551733016968,
+      "epoch": 3.9892294946147473,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003803802162817503,
+      "loss": 5.0891,
+      "mean_token_accuracy": 0.18413031548261644,
+      "num_tokens": 8776911.0,
+      "step": 4815
+    },
+    {
+      "entropy": 5.403548002243042,
+      "epoch": 3.9933719966859984,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000380097769534125,
+      "loss": 5.2011,
+      "mean_token_accuracy": 0.18309975266456605,
+      "num_tokens": 8786117.0,
+      "step": 4820
+    },
+    {
+      "entropy": 5.401311016082763,
+      "epoch": 3.9975144987572495,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003798151107928136,
+      "loss": 5.1436,
+      "mean_token_accuracy": 0.18381998240947722,
+      "num_tokens": 8795647.0,
+      "step": 4825
+    },
+    {
+      "entropy": 5.363515567779541,
+      "epoch": 4.001657000828501,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00037953224062796967,
+      "loss": 5.1114,
+      "mean_token_accuracy": 0.18405449539422988,
+      "num_tokens": 8803480.0,
+      "step": 4830
+    },
+    {
+      "entropy": 5.504069137573242,
+      "epoch": 4.005799502899752,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003792491596101733,
+      "loss": 4.9454,
+      "mean_token_accuracy": 0.19255731254816055,
+      "num_tokens": 8812825.0,
+      "step": 4835
+    },
+    {
+      "entropy": 5.45196304321289,
+      "epoch": 4.009942004971003,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003789658683104298,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19097152799367906,
+      "num_tokens": 8821911.0,
+      "step": 4840
+    },
+    {
+      "entropy": 5.429521989822388,
+      "epoch": 4.014084507042254,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037868236730016866,
+      "loss": 4.9518,
+      "mean_token_accuracy": 0.18948255032300948,
+      "num_tokens": 8830691.0,
+      "step": 4845
+    },
+    {
+      "entropy": 5.400455188751221,
+      "epoch": 4.018227009113504,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037839865715124234,
+      "loss": 4.9281,
+      "mean_token_accuracy": 0.19010053426027299,
+      "num_tokens": 8840410.0,
+      "step": 4850
+    },
+    {
+      "entropy": 5.374143838882446,
+      "epoch": 4.022369511184755,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00037811473843592534,
+      "loss": 4.9042,
+      "mean_token_accuracy": 0.19410175532102586,
+      "num_tokens": 8849662.0,
+      "step": 4855
+    },
+    {
+      "entropy": 5.4465690612792965,
+      "epoch": 4.026512013256006,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00037783061172691273,
+      "loss": 4.8985,
+      "mean_token_accuracy": 0.19412659406661986,
+      "num_tokens": 8858666.0,
+      "step": 4860
+    },
+    {
+      "entropy": 5.497456216812134,
+      "epoch": 4.0306545153272575,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003775462775973191,
+      "loss": 4.9611,
+      "mean_token_accuracy": 0.1847592905163765,
+      "num_tokens": 8867885.0,
+      "step": 4865
+    },
+    {
+      "entropy": 5.351856470108032,
+      "epoch": 4.034797017398509,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003772617366206773,
+      "loss": 4.9175,
+      "mean_token_accuracy": 0.19424951672554017,
+      "num_tokens": 8877458.0,
+      "step": 4870
+    },
+    {
+      "entropy": 5.363556432723999,
+      "epoch": 4.03893951946976,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037697698937093783,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.18704084753990174,
+      "num_tokens": 8886995.0,
+      "step": 4875
+    },
+    {
+      "entropy": 5.463095617294312,
+      "epoch": 4.043082021541011,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00037669203642246685,
+      "loss": 5.026,
+      "mean_token_accuracy": 0.18413490056991577,
+      "num_tokens": 8895224.0,
+      "step": 4880
+    },
+    {
+      "entropy": 5.4529016494750975,
+      "epoch": 4.047224523612262,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00037640687835004567,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.1925043895840645,
+      "num_tokens": 8905216.0,
+      "step": 4885
+    },
+    {
+      "entropy": 5.426698875427246,
+      "epoch": 4.051367025683513,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003761215157288692,
+      "loss": 4.9558,
+      "mean_token_accuracy": 0.19299548715353013,
+      "num_tokens": 8915493.0,
+      "step": 4890
+    },
+    {
+      "entropy": 5.362393617630005,
+      "epoch": 4.055509527754764,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00037583594913454514,
+      "loss": 4.925,
+      "mean_token_accuracy": 0.1959809884428978,
+      "num_tokens": 8924740.0,
+      "step": 4895
+    },
+    {
+      "entropy": 5.42564959526062,
+      "epoch": 4.059652029826015,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003755501791430925,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.18527257889509202,
+      "num_tokens": 8934726.0,
+      "step": 4900
+    },
+    {
+      "entropy": 5.448423719406128,
+      "epoch": 4.063794531897266,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00037526420633094044,
+      "loss": 4.9581,
+      "mean_token_accuracy": 0.18748125433921814,
+      "num_tokens": 8944301.0,
+      "step": 4905
+    },
+    {
+      "entropy": 5.449982643127441,
+      "epoch": 4.067937033968517,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037497803127492757,
+      "loss": 4.9881,
+      "mean_token_accuracy": 0.19187170565128325,
+      "num_tokens": 8953967.0,
+      "step": 4910
+    },
+    {
+      "entropy": 5.326543855667114,
+      "epoch": 4.072079536039768,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003746916545523001,
+      "loss": 4.8948,
+      "mean_token_accuracy": 0.19177066087722777,
+      "num_tokens": 8962983.0,
+      "step": 4915
+    },
+    {
+      "entropy": 5.381871175765991,
+      "epoch": 4.076222038111019,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003744050767407113,
+      "loss": 5.0191,
+      "mean_token_accuracy": 0.18154184073209761,
+      "num_tokens": 8972019.0,
+      "step": 4920
+    },
+    {
+      "entropy": 5.40556058883667,
+      "epoch": 4.08036454018227,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0003741182984182198,
+      "loss": 4.901,
+      "mean_token_accuracy": 0.20234887301921844,
+      "num_tokens": 8981751.0,
+      "step": 4925
+    },
+    {
+      "entropy": 5.3616517066955565,
+      "epoch": 4.084507042253521,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003738313201632889,
+      "loss": 4.8923,
+      "mean_token_accuracy": 0.19780989587306977,
+      "num_tokens": 8990330.0,
+      "step": 4930
+    },
+    {
+      "entropy": 5.314311408996582,
+      "epoch": 4.088649544324772,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003735441425547851,
+      "loss": 4.905,
+      "mean_token_accuracy": 0.19072338491678237,
+      "num_tokens": 8998366.0,
+      "step": 4935
+    },
+    {
+      "entropy": 5.290538501739502,
+      "epoch": 4.092792046396023,
+      "grad_norm": 1.828125,
+      "learning_rate": 0.00037325676617197697,
+      "loss": 4.8317,
+      "mean_token_accuracy": 0.20186650305986403,
+      "num_tokens": 9006881.0,
+      "step": 4940
+    },
+    {
+      "entropy": 5.323595571517944,
+      "epoch": 4.096934548467274,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0003729691915945342,
+      "loss": 4.8944,
+      "mean_token_accuracy": 0.19853760153055192,
+      "num_tokens": 9015415.0,
+      "step": 4945
+    },
+    {
+      "entropy": 5.40374059677124,
+      "epoch": 4.1010770505385254,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000372681419402526,
+      "loss": 4.9483,
+      "mean_token_accuracy": 0.19546929001808167,
+      "num_tokens": 9024578.0,
+      "step": 4950
+    },
+    {
+      "entropy": 5.381409311294556,
+      "epoch": 4.105219552609777,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003723934501764203,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.1867024227976799,
+      "num_tokens": 9032637.0,
+      "step": 4955
+    },
+    {
+      "entropy": 5.395318984985352,
+      "epoch": 4.109362054681028,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0003721052844970826,
+      "loss": 4.8913,
+      "mean_token_accuracy": 0.18718749284744263,
+      "num_tokens": 9041513.0,
+      "step": 4960
+    },
+    {
+      "entropy": 5.394489192962647,
+      "epoch": 4.113504556752279,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00037181692294577457,
+      "loss": 4.9155,
+      "mean_token_accuracy": 0.1854037255048752,
+      "num_tokens": 9051024.0,
+      "step": 4965
+    },
+    {
+      "entropy": 5.33848295211792,
+      "epoch": 4.117647058823529,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037152836610415284,
+      "loss": 4.8895,
+      "mean_token_accuracy": 0.19274405539035797,
+      "num_tokens": 9059494.0,
+      "step": 4970
+    },
+    {
+      "entropy": 5.31979193687439,
+      "epoch": 4.12178956089478,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00037123961455426836,
+      "loss": 4.7988,
+      "mean_token_accuracy": 0.19865831583738328,
+      "num_tokens": 9068166.0,
+      "step": 4975
+    },
+    {
+      "entropy": 5.391095542907715,
+      "epoch": 4.125932062966031,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00037095066887856434,
+      "loss": 4.907,
+      "mean_token_accuracy": 0.19333944320678711,
+      "num_tokens": 9077283.0,
+      "step": 4980
+    },
+    {
+      "entropy": 5.3755443572998045,
+      "epoch": 4.130074565037282,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003706615296598758,
+      "loss": 4.9332,
+      "mean_token_accuracy": 0.19493403136730195,
+      "num_tokens": 9086605.0,
+      "step": 4985
+    },
+    {
+      "entropy": 5.301020622253418,
+      "epoch": 4.134217067108533,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003703721974814282,
+      "loss": 4.9169,
+      "mean_token_accuracy": 0.19399153292179108,
+      "num_tokens": 9095567.0,
+      "step": 4990
+    },
+    {
+      "entropy": 5.282594537734985,
+      "epoch": 4.1383595691797845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00037008267292683615,
+      "loss": 4.9012,
+      "mean_token_accuracy": 0.19265301078557967,
+      "num_tokens": 9104457.0,
+      "step": 4995
+    },
+    {
+      "entropy": 5.398877716064453,
+      "epoch": 4.142502071251036,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036979295658010227,
+      "loss": 4.9533,
+      "mean_token_accuracy": 0.20162091553211212,
+      "num_tokens": 9113945.0,
+      "step": 5000
+    },
+    {
+      "epoch": 4.142502071251036,
+      "eval_entropy": 5.273210916946184,
+      "eval_loss": 5.83656120300293,
+      "eval_mean_token_accuracy": 0.15772452866281272,
+      "eval_num_tokens": 9113945.0,
+      "eval_runtime": 2.9415,
+      "eval_samples_per_second": 1273.844,
+      "eval_steps_per_second": 159.443,
+      "step": 5000
+    },
+    {
+      "entropy": 5.424594402313232,
+      "epoch": 4.146644573322287,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003695030490256161,
+      "loss": 5.0303,
+      "mean_token_accuracy": 0.18944208920001984,
+      "num_tokens": 9122996.0,
+      "step": 5005
+    },
+    {
+      "entropy": 5.355675983428955,
+      "epoch": 4.150787075393538,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000369212950848153,
+      "loss": 4.8793,
+      "mean_token_accuracy": 0.1962927296757698,
+      "num_tokens": 9132079.0,
+      "step": 5010
+    },
+    {
+      "entropy": 5.384340238571167,
+      "epoch": 4.154929577464789,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003689226626328725,
+      "loss": 5.0058,
+      "mean_token_accuracy": 0.19004727751016617,
+      "num_tokens": 9141335.0,
+      "step": 5015
+    },
+    {
+      "entropy": 5.442283582687378,
+      "epoch": 4.15907207953604,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00036863218496531767,
+      "loss": 5.0264,
+      "mean_token_accuracy": 0.18990386426448821,
+      "num_tokens": 9150049.0,
+      "step": 5020
+    },
+    {
+      "entropy": 5.409811115264892,
+      "epoch": 4.163214581607291,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003683415184314139,
+      "loss": 4.9057,
+      "mean_token_accuracy": 0.19072521328926087,
+      "num_tokens": 9159245.0,
+      "step": 5025
+    },
+    {
+      "entropy": 5.281745195388794,
+      "epoch": 4.167357083678542,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00036805066361746716,
+      "loss": 4.9432,
+      "mean_token_accuracy": 0.19057238101959229,
+      "num_tokens": 9167892.0,
+      "step": 5030
+    },
+    {
+      "entropy": 5.262811374664307,
+      "epoch": 4.1714995857497925,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036775962111016346,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.19675376862287522,
+      "num_tokens": 9176067.0,
+      "step": 5035
+    },
+    {
+      "entropy": 5.335107898712158,
+      "epoch": 4.175642087821044,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036746839149656734,
+      "loss": 4.9032,
+      "mean_token_accuracy": 0.19636716991662978,
+      "num_tokens": 9185318.0,
+      "step": 5040
+    },
+    {
+      "entropy": 5.338614749908447,
+      "epoch": 4.179784589892295,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003671769753641207,
+      "loss": 4.9605,
+      "mean_token_accuracy": 0.19530149400234223,
+      "num_tokens": 9194885.0,
+      "step": 5045
+    },
+    {
+      "entropy": 5.349650192260742,
+      "epoch": 4.183927091963546,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00036688537330064187,
+      "loss": 4.987,
+      "mean_token_accuracy": 0.19436514377593994,
+      "num_tokens": 9203906.0,
+      "step": 5050
+    },
+    {
+      "entropy": 5.318757629394531,
+      "epoch": 4.188069594034797,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000366593585894324,
+      "loss": 4.8507,
+      "mean_token_accuracy": 0.2013680413365364,
+      "num_tokens": 9213351.0,
+      "step": 5055
+    },
+    {
+      "entropy": 5.347932624816894,
+      "epoch": 4.192212096106048,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003663016137337341,
+      "loss": 4.9278,
+      "mean_token_accuracy": 0.18784158080816268,
+      "num_tokens": 9222191.0,
+      "step": 5060
+    },
+    {
+      "entropy": 5.372864198684693,
+      "epoch": 4.196354598177299,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00036600945740781197,
+      "loss": 4.9668,
+      "mean_token_accuracy": 0.1919815331697464,
+      "num_tokens": 9231517.0,
+      "step": 5065
+    },
+    {
+      "entropy": 5.393643712997436,
+      "epoch": 4.20049710024855,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036571711750586896,
+      "loss": 4.9891,
+      "mean_token_accuracy": 0.19960682690143586,
+      "num_tokens": 9241208.0,
+      "step": 5070
+    },
+    {
+      "entropy": 5.391959381103516,
+      "epoch": 4.204639602319801,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003654245946175864,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19324131309986115,
+      "num_tokens": 9250237.0,
+      "step": 5075
+    },
+    {
+      "entropy": 5.37893590927124,
+      "epoch": 4.2087821043910525,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00036513188933301504,
+      "loss": 5.0399,
+      "mean_token_accuracy": 0.18783097416162492,
+      "num_tokens": 9260273.0,
+      "step": 5080
+    },
+    {
+      "entropy": 5.378773164749146,
+      "epoch": 4.212924606462304,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003648390022425734,
+      "loss": 4.8996,
+      "mean_token_accuracy": 0.19140231609344482,
+      "num_tokens": 9268878.0,
+      "step": 5085
+    },
+    {
+      "entropy": 5.325588417053223,
+      "epoch": 4.217067108533554,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003645459339370468,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19706592857837676,
+      "num_tokens": 9276324.0,
+      "step": 5090
+    },
+    {
+      "entropy": 5.312953901290894,
+      "epoch": 4.221209610604805,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036425268500758594,
+      "loss": 4.9725,
+      "mean_token_accuracy": 0.1936806783080101,
+      "num_tokens": 9285052.0,
+      "step": 5095
+    },
+    {
+      "entropy": 5.354986000061035,
+      "epoch": 4.225352112676056,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036395925604570614,
+      "loss": 4.8763,
+      "mean_token_accuracy": 0.20042537599802018,
+      "num_tokens": 9293324.0,
+      "step": 5100
+    },
+    {
+      "entropy": 5.3900477409362795,
+      "epoch": 4.229494614747307,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003636656476432854,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19263672083616257,
+      "num_tokens": 9302131.0,
+      "step": 5105
+    },
+    {
+      "entropy": 5.263408470153808,
+      "epoch": 4.233637116818558,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003633718603925642,
+      "loss": 4.862,
+      "mean_token_accuracy": 0.19388986378908157,
+      "num_tokens": 9311128.0,
+      "step": 5110
+    },
+    {
+      "entropy": 5.420498418807983,
+      "epoch": 4.237779618889809,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0003630778948861434,
+      "loss": 4.9352,
+      "mean_token_accuracy": 0.1895424723625183,
+      "num_tokens": 9319849.0,
+      "step": 5115
+    },
+    {
+      "entropy": 5.336805248260498,
+      "epoch": 4.2419221209610605,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003627837517169836,
+      "loss": 4.9458,
+      "mean_token_accuracy": 0.18560263216495515,
+      "num_tokens": 9328355.0,
+      "step": 5120
+    },
+    {
+      "entropy": 5.352609777450562,
+      "epoch": 4.246064623032312,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003624894314784037,
+      "loss": 4.9236,
+      "mean_token_accuracy": 0.18928787410259246,
+      "num_tokens": 9337562.0,
+      "step": 5125
+    },
+    {
+      "entropy": 5.323793935775757,
+      "epoch": 4.250207125103563,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003621949347640797,
+      "loss": 4.9315,
+      "mean_token_accuracy": 0.196185165643692,
+      "num_tokens": 9347851.0,
+      "step": 5130
+    },
+    {
+      "entropy": 5.398552274703979,
+      "epoch": 4.254349627174814,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003619002621680439,
+      "loss": 4.9325,
+      "mean_token_accuracy": 0.19673411697149276,
+      "num_tokens": 9356524.0,
+      "step": 5135
+    },
+    {
+      "entropy": 5.4241108894348145,
+      "epoch": 4.258492129246065,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003616054142846829,
+      "loss": 5.0307,
+      "mean_token_accuracy": 0.1882170706987381,
+      "num_tokens": 9365521.0,
+      "step": 5140
+    },
+    {
+      "entropy": 5.301144218444824,
+      "epoch": 4.262634631317316,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003613103917087371,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19470559656620026,
+      "num_tokens": 9374088.0,
+      "step": 5145
+    },
+    {
+      "entropy": 5.345515966415405,
+      "epoch": 4.266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003610151950352994,
+      "loss": 4.9794,
+      "mean_token_accuracy": 0.19499585926532745,
+      "num_tokens": 9382683.0,
+      "step": 5150
+    },
+    {
+      "entropy": 5.306409788131714,
+      "epoch": 4.270919635459817,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0003607198248598137,
+      "loss": 4.9063,
+      "mean_token_accuracy": 0.194849793612957,
+      "num_tokens": 9391790.0,
+      "step": 5155
+    },
+    {
+      "entropy": 5.414876556396484,
+      "epoch": 4.2750621375310685,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003604242817780739,
+      "loss": 4.9901,
+      "mean_token_accuracy": 0.19321189671754838,
+      "num_tokens": 9400234.0,
+      "step": 5160
+    },
+    {
+      "entropy": 5.350374364852906,
+      "epoch": 4.27920463960232,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036012856638622273,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19192621409893035,
+      "num_tokens": 9409513.0,
+      "step": 5165
+    },
+    {
+      "entropy": 5.292260932922363,
+      "epoch": 4.283347141673571,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003598326792807504,
+      "loss": 4.9821,
+      "mean_token_accuracy": 0.18258902430534363,
+      "num_tokens": 9418608.0,
+      "step": 5170
+    },
+    {
+      "entropy": 5.427756977081299,
+      "epoch": 4.287489643744822,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00035953662105849357,
+      "loss": 5.0092,
+      "mean_token_accuracy": 0.19452760964632035,
+      "num_tokens": 9428705.0,
+      "step": 5175
+    },
+    {
+      "entropy": 5.3185462474823,
+      "epoch": 4.291632145816073,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000359240392316634,
+      "loss": 4.9177,
+      "mean_token_accuracy": 0.18542011678218842,
+      "num_tokens": 9438149.0,
+      "step": 5180
+    },
+    {
+      "entropy": 5.330511379241943,
+      "epoch": 4.295774647887324,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003589439936526974,
+      "loss": 4.8709,
+      "mean_token_accuracy": 0.19628295600414275,
+      "num_tokens": 9447566.0,
+      "step": 5185
+    },
+    {
+      "entropy": 5.303903436660766,
+      "epoch": 4.299917149958575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003586474256645525,
+      "loss": 4.9641,
+      "mean_token_accuracy": 0.1915314257144928,
+      "num_tokens": 9458156.0,
+      "step": 5190
+    },
+    {
+      "entropy": 5.410308837890625,
+      "epoch": 4.304059652029826,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035835068895040905,
+      "loss": 5.0014,
+      "mean_token_accuracy": 0.19137390553951264,
+      "num_tokens": 9467388.0,
+      "step": 5195
+    },
+    {
+      "entropy": 5.388073253631592,
+      "epoch": 4.308202154101077,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00035805378410881753,
+      "loss": 4.9642,
+      "mean_token_accuracy": 0.1940509021282196,
+      "num_tokens": 9477515.0,
+      "step": 5200
+    },
+    {
+      "entropy": 5.389194107055664,
+      "epoch": 4.312344656172328,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003577567117386675,
+      "loss": 4.9854,
+      "mean_token_accuracy": 0.1937498316168785,
+      "num_tokens": 9485851.0,
+      "step": 5205
+    },
+    {
+      "entropy": 5.377271747589111,
+      "epoch": 4.3164871582435795,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003574594724391863,
+      "loss": 4.9773,
+      "mean_token_accuracy": 0.18631901144981383,
+      "num_tokens": 9495523.0,
+      "step": 5210
+    },
+    {
+      "entropy": 5.303675985336303,
+      "epoch": 4.32062966031483,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003571620668099382,
+      "loss": 4.9104,
+      "mean_token_accuracy": 0.19740363359451293,
+      "num_tokens": 9504195.0,
+      "step": 5215
+    },
+    {
+      "entropy": 5.377063655853272,
+      "epoch": 4.324772162386081,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003568644954508227,
+      "loss": 4.9616,
+      "mean_token_accuracy": 0.1940310388803482,
+      "num_tokens": 9513313.0,
+      "step": 5220
+    },
+    {
+      "entropy": 5.400073862075805,
+      "epoch": 4.328914664457332,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003565667589620739,
+      "loss": 5.0313,
+      "mean_token_accuracy": 0.18615816980600358,
+      "num_tokens": 9522387.0,
+      "step": 5225
+    },
+    {
+      "entropy": 5.380652332305909,
+      "epoch": 4.333057166528583,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003562688579442588,
+      "loss": 4.9582,
+      "mean_token_accuracy": 0.1893748164176941,
+      "num_tokens": 9531522.0,
+      "step": 5230
+    },
+    {
+      "entropy": 5.349949216842651,
+      "epoch": 4.337199668599834,
+      "grad_norm": 1.6171875,
+      "learning_rate": 0.00035597079299827625,
+      "loss": 4.9875,
+      "mean_token_accuracy": 0.18508986830711366,
+      "num_tokens": 9540248.0,
+      "step": 5235
+    },
+    {
+      "entropy": 5.3083008289337155,
+      "epoch": 4.341342170671085,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035567256472535585,
+      "loss": 4.9192,
+      "mean_token_accuracy": 0.19538334757089615,
+      "num_tokens": 9549850.0,
+      "step": 5240
+    },
+    {
+      "entropy": 5.325525283813477,
+      "epoch": 4.345484672742336,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003553741737270566,
+      "loss": 4.9167,
+      "mean_token_accuracy": 0.19581695050001144,
+      "num_tokens": 9558929.0,
+      "step": 5245
+    },
+    {
+      "entropy": 5.291470670700074,
+      "epoch": 4.3496271748135875,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00035507562060526574,
+      "loss": 4.9163,
+      "mean_token_accuracy": 0.19085376411676408,
+      "num_tokens": 9567627.0,
+      "step": 5250
+    },
+    {
+      "entropy": 5.419774055480957,
+      "epoch": 4.353769676884839,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035477690596219763,
+      "loss": 5.0513,
+      "mean_token_accuracy": 0.18172826021909713,
+      "num_tokens": 9576223.0,
+      "step": 5255
+    },
+    {
+      "entropy": 5.422041416168213,
+      "epoch": 4.35791217895609,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00035447803040039225,
+      "loss": 5.0178,
+      "mean_token_accuracy": 0.1885324940085411,
+      "num_tokens": 9585510.0,
+      "step": 5260
+    },
+    {
+      "entropy": 5.344962453842163,
+      "epoch": 4.362054681027341,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003541789945227143,
+      "loss": 4.9361,
+      "mean_token_accuracy": 0.1920488640666008,
+      "num_tokens": 9594843.0,
+      "step": 5265
+    },
+    {
+      "entropy": 5.401527786254883,
+      "epoch": 4.366197183098592,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00035387979893235184,
+      "loss": 4.9467,
+      "mean_token_accuracy": 0.19816664457321168,
+      "num_tokens": 9604142.0,
+      "step": 5270
+    },
+    {
+      "entropy": 5.339557313919068,
+      "epoch": 4.370339685169842,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003535804442328151,
+      "loss": 4.994,
+      "mean_token_accuracy": 0.197935588657856,
+      "num_tokens": 9613669.0,
+      "step": 5275
+    },
+    {
+      "entropy": 5.395236444473267,
+      "epoch": 4.374482187241093,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00035328093102793506,
+      "loss": 4.9843,
+      "mean_token_accuracy": 0.19234263002872468,
+      "num_tokens": 9623502.0,
+      "step": 5280
+    },
+    {
+      "entropy": 5.377492380142212,
+      "epoch": 4.378624689312344,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035298125992186283,
+      "loss": 4.9784,
+      "mean_token_accuracy": 0.1910512089729309,
+      "num_tokens": 9632041.0,
+      "step": 5285
+    },
+    {
+      "entropy": 5.310422706604004,
+      "epoch": 4.3827671913835955,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00035268143151906764,
+      "loss": 4.9853,
+      "mean_token_accuracy": 0.18939480930566788,
+      "num_tokens": 9641442.0,
+      "step": 5290
+    },
+    {
+      "entropy": 5.356794643402099,
+      "epoch": 4.386909693454847,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00035238144642433616,
+      "loss": 4.956,
+      "mean_token_accuracy": 0.19045386761426925,
+      "num_tokens": 9650857.0,
+      "step": 5295
+    },
+    {
+      "entropy": 5.461606073379516,
+      "epoch": 4.391052195526098,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000352081305242771,
+      "loss": 4.9906,
+      "mean_token_accuracy": 0.1938766911625862,
+      "num_tokens": 9659173.0,
+      "step": 5300
+    },
+    {
+      "entropy": 5.355851411819458,
+      "epoch": 4.395194697597349,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035178100857978994,
+      "loss": 4.9344,
+      "mean_token_accuracy": 0.19574909955263137,
+      "num_tokens": 9668114.0,
+      "step": 5305
+    },
+    {
+      "entropy": 5.261717939376831,
+      "epoch": 4.3993371996686,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00035148055704112405,
+      "loss": 4.9927,
+      "mean_token_accuracy": 0.1930756837129593,
+      "num_tokens": 9676628.0,
+      "step": 5310
+    },
+    {
+      "entropy": 5.305881071090698,
+      "epoch": 4.403479701739851,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003511799512328168,
+      "loss": 4.8897,
+      "mean_token_accuracy": 0.19723279178142547,
+      "num_tokens": 9685801.0,
+      "step": 5315
+    },
+    {
+      "entropy": 5.3678816795349125,
+      "epoch": 4.407622203811102,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003508791917612232,
+      "loss": 4.9677,
+      "mean_token_accuracy": 0.18847441226243972,
+      "num_tokens": 9694237.0,
+      "step": 5320
+    },
+    {
+      "entropy": 5.357159948348999,
+      "epoch": 4.411764705882353,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00035057827923300785,
+      "loss": 4.887,
+      "mean_token_accuracy": 0.1993523895740509,
+      "num_tokens": 9701904.0,
+      "step": 5325
+    },
+    {
+      "entropy": 5.308569765090942,
+      "epoch": 4.415907207953604,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035027721425514414,
+      "loss": 4.8661,
+      "mean_token_accuracy": 0.20139306634664536,
+      "num_tokens": 9710784.0,
+      "step": 5330
+    },
+    {
+      "entropy": 5.310255718231201,
+      "epoch": 4.4200497100248555,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003499759974349131,
+      "loss": 4.9969,
+      "mean_token_accuracy": 0.19186950027942656,
+      "num_tokens": 9720452.0,
+      "step": 5335
+    },
+    {
+      "entropy": 5.335639381408692,
+      "epoch": 4.424192212096106,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00034967462937990194,
+      "loss": 4.9619,
+      "mean_token_accuracy": 0.18502581119537354,
+      "num_tokens": 9729122.0,
+      "step": 5340
+    },
+    {
+      "entropy": 5.414971780776978,
+      "epoch": 4.428334714167357,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000349373110698003,
+      "loss": 5.0216,
+      "mean_token_accuracy": 0.18420466929674148,
+      "num_tokens": 9738756.0,
+      "step": 5345
+    },
+    {
+      "entropy": 5.406450796127319,
+      "epoch": 4.432477216238608,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003490714419974124,
+      "loss": 5.0113,
+      "mean_token_accuracy": 0.1904602199792862,
+      "num_tokens": 9748547.0,
+      "step": 5350
+    },
+    {
+      "entropy": 5.358873558044434,
+      "epoch": 4.436619718309859,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034876962388662885,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.18162461519241332,
+      "num_tokens": 9758421.0,
+      "step": 5355
+    },
+    {
+      "entropy": 5.277571201324463,
+      "epoch": 4.44076222038111,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003484676569744525,
+      "loss": 4.8563,
+      "mean_token_accuracy": 0.19333565086126328,
+      "num_tokens": 9766855.0,
+      "step": 5360
+    },
+    {
+      "entropy": 5.348770189285278,
+      "epoch": 4.444904722452361,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003481655418699836,
+      "loss": 4.9589,
+      "mean_token_accuracy": 0.1960444375872612,
+      "num_tokens": 9776157.0,
+      "step": 5365
+    },
+    {
+      "entropy": 5.279411029815674,
+      "epoch": 4.449047224523612,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00034786327918262126,
+      "loss": 4.8489,
+      "mean_token_accuracy": 0.2087496116757393,
+      "num_tokens": 9784386.0,
+      "step": 5370
+    },
+    {
+      "entropy": 5.354473733901978,
+      "epoch": 4.4531897265948635,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00034756086952206255,
+      "loss": 4.9009,
+      "mean_token_accuracy": 0.1958460658788681,
+      "num_tokens": 9793838.0,
+      "step": 5375
+    },
+    {
+      "entropy": 5.353402185440063,
+      "epoch": 4.457332228666115,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003472583134983005,
+      "loss": 4.9971,
+      "mean_token_accuracy": 0.19221619367599488,
+      "num_tokens": 9802595.0,
+      "step": 5380
+    },
+    {
+      "entropy": 5.384884357452393,
+      "epoch": 4.461474730737366,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00034695561172162396,
+      "loss": 4.9775,
+      "mean_token_accuracy": 0.19024742841720582,
+      "num_tokens": 9811309.0,
+      "step": 5385
+    },
+    {
+      "entropy": 5.2829090595245365,
+      "epoch": 4.465617232808617,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00034665276480261526,
+      "loss": 4.9139,
+      "mean_token_accuracy": 0.1915873184800148,
+      "num_tokens": 9820327.0,
+      "step": 5390
+    },
+    {
+      "entropy": 5.351649951934815,
+      "epoch": 4.469759734879867,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003463497733521499,
+      "loss": 4.9852,
+      "mean_token_accuracy": 0.18354866653680801,
+      "num_tokens": 9829588.0,
+      "step": 5395
+    },
+    {
+      "entropy": 5.42580213546753,
+      "epoch": 4.473902236951118,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003460466379813947,
+      "loss": 4.9887,
+      "mean_token_accuracy": 0.18973219394683838,
+      "num_tokens": 9838548.0,
+      "step": 5400
+    },
+    {
+      "entropy": 5.335280847549439,
+      "epoch": 4.478044739022369,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003457433593018068,
+      "loss": 5.0018,
+      "mean_token_accuracy": 0.18838239908218385,
+      "num_tokens": 9847925.0,
+      "step": 5405
+    },
+    {
+      "entropy": 5.396121597290039,
+      "epoch": 4.48218724109362,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034543993792513243,
+      "loss": 5.0169,
+      "mean_token_accuracy": 0.18753209412097932,
+      "num_tokens": 9856839.0,
+      "step": 5410
+    },
+    {
+      "entropy": 5.37349534034729,
+      "epoch": 4.486329743164871,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003451363744634057,
+      "loss": 4.978,
+      "mean_token_accuracy": 0.19382779747247697,
+      "num_tokens": 9866519.0,
+      "step": 5415
+    },
+    {
+      "entropy": 5.430073976516724,
+      "epoch": 4.4904722452361225,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00034483266952894725,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.19110478311777115,
+      "num_tokens": 9876866.0,
+      "step": 5420
+    },
+    {
+      "entropy": 5.440963220596314,
+      "epoch": 4.494614747307374,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0003445288237343632,
+      "loss": 5.0042,
+      "mean_token_accuracy": 0.1870105817914009,
+      "num_tokens": 9884639.0,
+      "step": 5425
+    },
+    {
+      "entropy": 5.332541465759277,
+      "epoch": 4.498757249378625,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003442248376925436,
+      "loss": 4.9715,
+      "mean_token_accuracy": 0.1879585549235344,
+      "num_tokens": 9893819.0,
+      "step": 5430
+    },
+    {
+      "entropy": 5.251445341110229,
+      "epoch": 4.502899751449876,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00034392071201666167,
+      "loss": 4.9164,
+      "mean_token_accuracy": 0.19130610078573226,
+      "num_tokens": 9902419.0,
+      "step": 5435
+    },
+    {
+      "entropy": 5.390727472305298,
+      "epoch": 4.507042253521127,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000343616447320172,
+      "loss": 4.9565,
+      "mean_token_accuracy": 0.19780462980270386,
+      "num_tokens": 9912434.0,
+      "step": 5440
+    },
+    {
+      "entropy": 5.366470289230347,
+      "epoch": 4.511184755592378,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003433120442168097,
+      "loss": 4.9114,
+      "mean_token_accuracy": 0.193550705909729,
+      "num_tokens": 9921800.0,
+      "step": 5445
+    },
+    {
+      "entropy": 5.316132354736328,
+      "epoch": 4.515327257663629,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034300750332058924,
+      "loss": 4.9803,
+      "mean_token_accuracy": 0.18861733824014665,
+      "num_tokens": 9930863.0,
+      "step": 5450
+    },
+    {
+      "entropy": 5.340768337249756,
+      "epoch": 4.51946975973488,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003427028252458028,
+      "loss": 4.995,
+      "mean_token_accuracy": 0.1959969326853752,
+      "num_tokens": 9940524.0,
+      "step": 5455
+    },
+    {
+      "entropy": 5.398335361480713,
+      "epoch": 4.5236122618061305,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.0003423980106070194,
+      "loss": 4.98,
+      "mean_token_accuracy": 0.18993111699819565,
+      "num_tokens": 9948949.0,
+      "step": 5460
+    },
+    {
+      "entropy": 5.363409519195557,
+      "epoch": 4.527754763877382,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003420930600190834,
+      "loss": 5.0007,
+      "mean_token_accuracy": 0.18487946093082427,
+      "num_tokens": 9958154.0,
+      "step": 5465
+    },
+    {
+      "entropy": 5.353360748291015,
+      "epoch": 4.531897265948633,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003417879740971135,
+      "loss": 4.8917,
+      "mean_token_accuracy": 0.19643958359956742,
+      "num_tokens": 9967023.0,
+      "step": 5470
+    },
+    {
+      "entropy": 5.392623519897461,
+      "epoch": 4.536039768019884,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003414827534565014,
+      "loss": 4.9908,
+      "mean_token_accuracy": 0.18982938379049302,
+      "num_tokens": 9976596.0,
+      "step": 5475
+    },
+    {
+      "entropy": 5.358148193359375,
+      "epoch": 4.540182270091135,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00034117739871291036,
+      "loss": 4.8992,
+      "mean_token_accuracy": 0.19934887886047364,
+      "num_tokens": 9985330.0,
+      "step": 5480
+    },
+    {
+      "entropy": 5.35659613609314,
+      "epoch": 4.544324772162386,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00034087191048227445,
+      "loss": 5.032,
+      "mean_token_accuracy": 0.1861831620335579,
+      "num_tokens": 9996053.0,
+      "step": 5485
+    },
+    {
+      "entropy": 5.335864496231079,
+      "epoch": 4.548467274233637,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003405662893807967,
+      "loss": 4.9445,
+      "mean_token_accuracy": 0.1877502605319023,
+      "num_tokens": 10005517.0,
+      "step": 5490
+    },
+    {
+      "entropy": 5.389253044128418,
+      "epoch": 4.552609776304888,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003402605360249482,
+      "loss": 5.0416,
+      "mean_token_accuracy": 0.18830080330371857,
+      "num_tokens": 10014354.0,
+      "step": 5495
+    },
+    {
+      "entropy": 5.3128773212432865,
+      "epoch": 4.556752278376139,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000339954651031467,
+      "loss": 4.9238,
+      "mean_token_accuracy": 0.19178629368543626,
+      "num_tokens": 10023194.0,
+      "step": 5500
+    },
+    {
+      "epoch": 4.556752278376139,
+      "eval_entropy": 5.195640559898003,
+      "eval_loss": 5.80400276184082,
+      "eval_mean_token_accuracy": 0.15982486544323882,
+      "eval_num_tokens": 10023194.0,
+      "eval_runtime": 2.7416,
+      "eval_samples_per_second": 1366.696,
+      "eval_steps_per_second": 171.065,
+      "step": 5500
+    },
+    {
+      "entropy": 5.267048501968384,
+      "epoch": 4.5608947804473905,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00033964863501735647,
+      "loss": 4.9188,
+      "mean_token_accuracy": 0.19228280782699586,
+      "num_tokens": 10032490.0,
+      "step": 5505
+    },
+    {
+      "entropy": 5.392655229568481,
+      "epoch": 4.565037282518642,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00033934248859988453,
+      "loss": 4.9346,
+      "mean_token_accuracy": 0.19580908715724946,
+      "num_tokens": 10041613.0,
+      "step": 5510
+    },
+    {
+      "entropy": 5.262086534500122,
+      "epoch": 4.569179784589892,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003390362123965817,
+      "loss": 4.8733,
+      "mean_token_accuracy": 0.1911102056503296,
+      "num_tokens": 10050500.0,
+      "step": 5515
+    },
+    {
+      "entropy": 5.36342945098877,
+      "epoch": 4.573322286661144,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003387298070252407,
+      "loss": 4.9492,
+      "mean_token_accuracy": 0.1935834139585495,
+      "num_tokens": 10059650.0,
+      "step": 5520
+    },
+    {
+      "entropy": 5.337366104125977,
+      "epoch": 4.577464788732394,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003384232731039146,
+      "loss": 4.9844,
+      "mean_token_accuracy": 0.19709572941064835,
+      "num_tokens": 10067882.0,
+      "step": 5525
+    },
+    {
+      "entropy": 5.300627326965332,
+      "epoch": 4.581607290803645,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00033811661125091584,
+      "loss": 4.9253,
+      "mean_token_accuracy": 0.19670316576957703,
+      "num_tokens": 10077147.0,
+      "step": 5530
+    },
+    {
+      "entropy": 5.369974613189697,
+      "epoch": 4.585749792874896,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00033780982208481494,
+      "loss": 4.9829,
+      "mean_token_accuracy": 0.1897311642765999,
+      "num_tokens": 10086149.0,
+      "step": 5535
+    },
+    {
+      "entropy": 5.303711175918579,
+      "epoch": 4.589892294946147,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003375029062244392,
+      "loss": 4.9027,
+      "mean_token_accuracy": 0.20062701553106307,
+      "num_tokens": 10094997.0,
+      "step": 5540
+    },
+    {
+      "entropy": 5.461194086074829,
+      "epoch": 4.5940347970173985,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00033719586428887125,
+      "loss": 4.9635,
+      "mean_token_accuracy": 0.19236611425876618,
+      "num_tokens": 10103585.0,
+      "step": 5545
+    },
+    {
+      "entropy": 5.276572418212891,
+      "epoch": 4.59817729908865,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00033688869689744836,
+      "loss": 4.8715,
+      "mean_token_accuracy": 0.1956779330968857,
+      "num_tokens": 10113877.0,
+      "step": 5550
+    },
+    {
+      "entropy": 5.333914184570313,
+      "epoch": 4.602319801159901,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003365814046697608,
+      "loss": 4.9676,
+      "mean_token_accuracy": 0.1832288920879364,
+      "num_tokens": 10123127.0,
+      "step": 5555
+    },
+    {
+      "entropy": 5.39079098701477,
+      "epoch": 4.606462303231152,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003362739882256504,
+      "loss": 5.0347,
+      "mean_token_accuracy": 0.186669659614563,
+      "num_tokens": 10132301.0,
+      "step": 5560
+    },
+    {
+      "entropy": 5.369095230102539,
+      "epoch": 4.610604805302403,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0003359664481852099,
+      "loss": 5.0411,
+      "mean_token_accuracy": 0.18307175636291503,
+      "num_tokens": 10140985.0,
+      "step": 5565
+    },
+    {
+      "entropy": 5.309534072875977,
+      "epoch": 4.614747307373654,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00033565878516878103,
+      "loss": 4.9435,
+      "mean_token_accuracy": 0.186006298661232,
+      "num_tokens": 10149668.0,
+      "step": 5570
+    },
+    {
+      "entropy": 5.324404716491699,
+      "epoch": 4.618889809444905,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0003353509997969537,
+      "loss": 4.9982,
+      "mean_token_accuracy": 0.1883559986948967,
+      "num_tokens": 10158584.0,
+      "step": 5575
+    },
+    {
+      "entropy": 5.366722822189331,
+      "epoch": 4.623032311516155,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00033504309269056484,
+      "loss": 4.968,
+      "mean_token_accuracy": 0.19045166224241256,
+      "num_tokens": 10167657.0,
+      "step": 5580
+    },
+    {
+      "entropy": 5.274179601669312,
+      "epoch": 4.6271748135874065,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003347350644706965,
+      "loss": 4.8462,
+      "mean_token_accuracy": 0.1975993499159813,
+      "num_tokens": 10176657.0,
+      "step": 5585
+    },
+    {
+      "entropy": 5.3866353034973145,
+      "epoch": 4.631317315658658,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003344269157586754,
+      "loss": 4.9669,
+      "mean_token_accuracy": 0.19621438384056092,
+      "num_tokens": 10185132.0,
+      "step": 5590
+    },
+    {
+      "entropy": 5.304204607009888,
+      "epoch": 4.635459817729909,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00033411864717607114,
+      "loss": 4.8497,
+      "mean_token_accuracy": 0.19386404007673264,
+      "num_tokens": 10193428.0,
+      "step": 5595
+    },
+    {
+      "entropy": 5.324200677871704,
+      "epoch": 4.63960231980116,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0003338102593446951,
+      "loss": 5.0163,
+      "mean_token_accuracy": 0.18838184028863908,
+      "num_tokens": 10202549.0,
+      "step": 5600
+    },
+    {
+      "entropy": 5.341615533828735,
+      "epoch": 4.643744821872411,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00033350175288659925,
+      "loss": 4.8885,
+      "mean_token_accuracy": 0.1946927636861801,
+      "num_tokens": 10211161.0,
+      "step": 5605
+    },
+    {
+      "entropy": 5.309947538375854,
+      "epoch": 4.647887323943662,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00033319312842407483,
+      "loss": 4.9923,
+      "mean_token_accuracy": 0.18832400739192962,
+      "num_tokens": 10220988.0,
+      "step": 5610
+    },
+    {
+      "entropy": 5.2807288646698,
+      "epoch": 4.652029826014913,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003328843865796511,
+      "loss": 4.8873,
+      "mean_token_accuracy": 0.19748056083917617,
+      "num_tokens": 10229383.0,
+      "step": 5615
+    },
+    {
+      "entropy": 5.421126461029052,
+      "epoch": 4.656172328086164,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033257552797609426,
+      "loss": 4.9686,
+      "mean_token_accuracy": 0.18525946289300918,
+      "num_tokens": 10238622.0,
+      "step": 5620
+    },
+    {
+      "entropy": 5.506065034866333,
+      "epoch": 4.660314830157415,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00033226655323640553,
+      "loss": 5.0677,
+      "mean_token_accuracy": 0.18611674308776854,
+      "num_tokens": 10248201.0,
+      "step": 5625
+    },
+    {
+      "entropy": 5.445924186706543,
+      "epoch": 4.664457332228666,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000331957462983821,
+      "loss": 5.0837,
+      "mean_token_accuracy": 0.17612475752830506,
+      "num_tokens": 10258239.0,
+      "step": 5630
+    },
+    {
+      "entropy": 5.377671623229981,
+      "epoch": 4.668599834299917,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0003316482578418094,
+      "loss": 4.9675,
+      "mean_token_accuracy": 0.1935265153646469,
+      "num_tokens": 10266915.0,
+      "step": 5635
+    },
+    {
+      "entropy": 5.348722076416015,
+      "epoch": 4.672742336371169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00033133893843407126,
+      "loss": 5.0783,
+      "mean_token_accuracy": 0.18859633952379226,
+      "num_tokens": 10276826.0,
+      "step": 5640
+    },
+    {
+      "entropy": 5.327623510360718,
+      "epoch": 4.676884838442419,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00033102950538453776,
+      "loss": 4.9912,
+      "mean_token_accuracy": 0.19163501411676406,
+      "num_tokens": 10286041.0,
+      "step": 5645
+    },
+    {
+      "entropy": 5.367205619812012,
+      "epoch": 4.68102734051367,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00033071995931736897,
+      "loss": 5.0151,
+      "mean_token_accuracy": 0.19023409783840178,
+      "num_tokens": 10295258.0,
+      "step": 5650
+    },
+    {
+      "entropy": 5.404719638824463,
+      "epoch": 4.685169842584921,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00033041030085695323,
+      "loss": 4.9423,
+      "mean_token_accuracy": 0.19237637221813203,
+      "num_tokens": 10304726.0,
+      "step": 5655
+    },
+    {
+      "entropy": 5.34141435623169,
+      "epoch": 4.689312344656172,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003301005306279055,
+      "loss": 4.8745,
+      "mean_token_accuracy": 0.2018929526209831,
+      "num_tokens": 10312912.0,
+      "step": 5660
+    },
+    {
+      "entropy": 5.300086307525635,
+      "epoch": 4.693454846727423,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00032979064925506627,
+      "loss": 4.9743,
+      "mean_token_accuracy": 0.18896473944187164,
+      "num_tokens": 10322046.0,
+      "step": 5665
+    },
+    {
+      "entropy": 5.290521335601807,
+      "epoch": 4.697597348798674,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003294806573634999,
+      "loss": 4.9263,
+      "mean_token_accuracy": 0.206088125705719,
+      "num_tokens": 10331375.0,
+      "step": 5670
+    },
+    {
+      "entropy": 5.353716802597046,
+      "epoch": 4.7017398508699255,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003291705555784942,
+      "loss": 5.0624,
+      "mean_token_accuracy": 0.18850265592336654,
+      "num_tokens": 10341465.0,
+      "step": 5675
+    },
+    {
+      "entropy": 5.466339874267578,
+      "epoch": 4.705882352941177,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00032886034452555814,
+      "loss": 5.052,
+      "mean_token_accuracy": 0.18991907685995102,
+      "num_tokens": 10350137.0,
+      "step": 5680
+    },
+    {
+      "entropy": 5.3118266582489015,
+      "epoch": 4.710024855012428,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003285500248304214,
+      "loss": 4.9502,
+      "mean_token_accuracy": 0.1877942368388176,
+      "num_tokens": 10358666.0,
+      "step": 5685
+    },
+    {
+      "entropy": 5.319189500808716,
+      "epoch": 4.714167357083679,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003282395971190328,
+      "loss": 4.8375,
+      "mean_token_accuracy": 0.19829211980104447,
+      "num_tokens": 10366910.0,
+      "step": 5690
+    },
+    {
+      "entropy": 5.377291250228882,
+      "epoch": 4.71830985915493,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032792906201755876,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19080002307891847,
+      "num_tokens": 10376435.0,
+      "step": 5695
+    },
+    {
+      "entropy": 5.293179368972778,
+      "epoch": 4.72245236122618,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00032761842015238256,
+      "loss": 4.8965,
+      "mean_token_accuracy": 0.2024861231446266,
+      "num_tokens": 10384670.0,
+      "step": 5700
+    },
+    {
+      "entropy": 5.261117172241211,
+      "epoch": 4.726594863297431,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003273076721501029,
+      "loss": 4.8845,
+      "mean_token_accuracy": 0.1939824104309082,
+      "num_tokens": 10393731.0,
+      "step": 5705
+    },
+    {
+      "entropy": 5.386179351806641,
+      "epoch": 4.730737365368682,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003269968186375325,
+      "loss": 4.9916,
+      "mean_token_accuracy": 0.19829274713993073,
+      "num_tokens": 10402369.0,
+      "step": 5710
+    },
+    {
+      "entropy": 5.379951667785645,
+      "epoch": 4.7348798674399335,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003266858602416967,
+      "loss": 4.9801,
+      "mean_token_accuracy": 0.1936841771006584,
+      "num_tokens": 10411566.0,
+      "step": 5715
+    },
+    {
+      "entropy": 5.384341192245484,
+      "epoch": 4.739022369511185,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032637479758983255,
+      "loss": 5.0294,
+      "mean_token_accuracy": 0.18491634279489516,
+      "num_tokens": 10420086.0,
+      "step": 5720
+    },
+    {
+      "entropy": 5.409085655212403,
+      "epoch": 4.743164871582436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00032606363130938766,
+      "loss": 5.0704,
+      "mean_token_accuracy": 0.18897949457168578,
+      "num_tokens": 10429746.0,
+      "step": 5725
+    },
+    {
+      "entropy": 5.349277639389038,
+      "epoch": 4.747307373653687,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0003257523620280181,
+      "loss": 4.9498,
+      "mean_token_accuracy": 0.19129680693149567,
+      "num_tokens": 10438536.0,
+      "step": 5730
+    },
+    {
+      "entropy": 5.348873805999756,
+      "epoch": 4.751449875724938,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00032544099037358834,
+      "loss": 4.9497,
+      "mean_token_accuracy": 0.19692206382751465,
+      "num_tokens": 10447471.0,
+      "step": 5735
+    },
+    {
+      "entropy": 5.33362455368042,
+      "epoch": 4.755592377796189,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003251295169741688,
+      "loss": 4.962,
+      "mean_token_accuracy": 0.1995266228914261,
+      "num_tokens": 10457179.0,
+      "step": 5740
+    },
+    {
+      "entropy": 5.327010250091552,
+      "epoch": 4.75973487986744,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00032481794245803536,
+      "loss": 5.0295,
+      "mean_token_accuracy": 0.18461760133504868,
+      "num_tokens": 10466291.0,
+      "step": 5745
+    },
+    {
+      "entropy": 5.323912620544434,
+      "epoch": 4.763877381938691,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00032450626745366806,
+      "loss": 4.9102,
+      "mean_token_accuracy": 0.19402227252721788,
+      "num_tokens": 10475452.0,
+      "step": 5750
+    },
+    {
+      "entropy": 5.306818199157715,
+      "epoch": 4.768019884009942,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00032419449258974924,
+      "loss": 4.8753,
+      "mean_token_accuracy": 0.20045212656259537,
+      "num_tokens": 10484381.0,
+      "step": 5755
+    },
+    {
+      "entropy": 5.342190933227539,
+      "epoch": 4.7721623860811935,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000323882618495163,
+      "loss": 5.0665,
+      "mean_token_accuracy": 0.1831491023302078,
+      "num_tokens": 10495132.0,
+      "step": 5760
+    },
+    {
+      "entropy": 5.351349258422852,
+      "epoch": 4.776304888152444,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003235706457989934,
+      "loss": 5.0246,
+      "mean_token_accuracy": 0.1850237250328064,
+      "num_tokens": 10504519.0,
+      "step": 5765
+    },
+    {
+      "entropy": 5.387107896804809,
+      "epoch": 4.780447390223695,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032325857513052354,
+      "loss": 4.9654,
+      "mean_token_accuracy": 0.19212980419397355,
+      "num_tokens": 10513575.0,
+      "step": 5770
+    },
+    {
+      "entropy": 5.396086692810059,
+      "epoch": 4.784589892294946,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000322946407119234,
+      "loss": 5.0554,
+      "mean_token_accuracy": 0.18998173326253892,
+      "num_tokens": 10522148.0,
+      "step": 5775
+    },
+    {
+      "entropy": 5.361077404022216,
+      "epoch": 4.788732394366197,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032263414239480187,
+      "loss": 4.9891,
+      "mean_token_accuracy": 0.18589809089899062,
+      "num_tokens": 10531183.0,
+      "step": 5780
+    },
+    {
+      "entropy": 5.342947483062744,
+      "epoch": 4.792874896437448,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.000322321781587099,
+      "loss": 4.9298,
+      "mean_token_accuracy": 0.19391343146562576,
+      "num_tokens": 10540677.0,
+      "step": 5785
+    },
+    {
+      "entropy": 5.276329088211059,
+      "epoch": 4.797017398508699,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003220093253261915,
+      "loss": 4.9342,
+      "mean_token_accuracy": 0.18589555770158767,
+      "num_tokens": 10550009.0,
+      "step": 5790
+    },
+    {
+      "entropy": 5.315787076950073,
+      "epoch": 4.80115990057995,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003216967742423377,
+      "loss": 4.9621,
+      "mean_token_accuracy": 0.19312297254800798,
+      "num_tokens": 10559694.0,
+      "step": 5795
+    },
+    {
+      "entropy": 5.339448022842407,
+      "epoch": 4.8053024026512015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003213841289659872,
+      "loss": 4.9613,
+      "mean_token_accuracy": 0.20080769211053848,
+      "num_tokens": 10567965.0,
+      "step": 5800
+    },
+    {
+      "entropy": 5.312955284118653,
+      "epoch": 4.809444904722453,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003210713901277799,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.19690640568733214,
+      "num_tokens": 10577653.0,
+      "step": 5805
+    },
+    {
+      "entropy": 5.359428977966308,
+      "epoch": 4.813587406793704,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000320758558358544,
+      "loss": 4.9728,
+      "mean_token_accuracy": 0.18951950818300248,
+      "num_tokens": 10586903.0,
+      "step": 5810
+    },
+    {
+      "entropy": 5.302858638763428,
+      "epoch": 4.817729908864955,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003204456342892955,
+      "loss": 4.8829,
+      "mean_token_accuracy": 0.19500194638967513,
+      "num_tokens": 10595411.0,
+      "step": 5815
+    },
+    {
+      "entropy": 5.321697616577149,
+      "epoch": 4.821872410936205,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00032013261855123637,
+      "loss": 4.9475,
+      "mean_token_accuracy": 0.1907385230064392,
+      "num_tokens": 10604147.0,
+      "step": 5820
+    },
+    {
+      "entropy": 5.368891286849975,
+      "epoch": 4.826014913007457,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00031981951177575366,
+      "loss": 5.0445,
+      "mean_token_accuracy": 0.1850367307662964,
+      "num_tokens": 10614048.0,
+      "step": 5825
+    },
+    {
+      "entropy": 5.374803781509399,
+      "epoch": 4.830157415078707,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003195063145944178,
+      "loss": 5.0779,
+      "mean_token_accuracy": 0.18388603180646895,
+      "num_tokens": 10623399.0,
+      "step": 5830
+    },
+    {
+      "entropy": 5.389354228973389,
+      "epoch": 4.834299917149958,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003191930276389819,
+      "loss": 4.9183,
+      "mean_token_accuracy": 0.19506800919771194,
+      "num_tokens": 10632627.0,
+      "step": 5835
+    },
+    {
+      "entropy": 5.401239061355591,
+      "epoch": 4.838442419221209,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00031887965154137987,
+      "loss": 4.9726,
+      "mean_token_accuracy": 0.1816769301891327,
+      "num_tokens": 10641155.0,
+      "step": 5840
+    },
+    {
+      "entropy": 5.354168939590454,
+      "epoch": 4.8425849212924605,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003185661869337255,
+      "loss": 5.0118,
+      "mean_token_accuracy": 0.18452974855899812,
+      "num_tokens": 10649661.0,
+      "step": 5845
+    },
+    {
+      "entropy": 5.265790605545044,
+      "epoch": 4.846727423363712,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00031825263444831137,
+      "loss": 4.9151,
+      "mean_token_accuracy": 0.19235364347696304,
+      "num_tokens": 10658652.0,
+      "step": 5850
+    },
+    {
+      "entropy": 5.3790277481079105,
+      "epoch": 4.850869925434963,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003179389947176069,
+      "loss": 5.0445,
+      "mean_token_accuracy": 0.1886226385831833,
+      "num_tokens": 10668703.0,
+      "step": 5855
+    },
+    {
+      "entropy": 5.385872554779053,
+      "epoch": 4.855012427506214,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003176252683742578,
+      "loss": 4.9484,
+      "mean_token_accuracy": 0.19056980460882186,
+      "num_tokens": 10677740.0,
+      "step": 5860
+    },
+    {
+      "entropy": 5.347926044464112,
+      "epoch": 4.859154929577465,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003173114560510843,
+      "loss": 4.9447,
+      "mean_token_accuracy": 0.18929830342531204,
+      "num_tokens": 10686429.0,
+      "step": 5865
+    },
+    {
+      "entropy": 5.332098054885864,
+      "epoch": 4.863297431648716,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00031699755838108027,
+      "loss": 5.0442,
+      "mean_token_accuracy": 0.1941297546029091,
+      "num_tokens": 10696367.0,
+      "step": 5870
+    },
+    {
+      "entropy": 5.310936546325683,
+      "epoch": 4.867439933719967,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003166835759974115,
+      "loss": 4.9902,
+      "mean_token_accuracy": 0.1873769447207451,
+      "num_tokens": 10705712.0,
+      "step": 5875
+    },
+    {
+      "entropy": 5.371630382537842,
+      "epoch": 4.871582435791218,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031636950953341486,
+      "loss": 5.0345,
+      "mean_token_accuracy": 0.18638068735599517,
+      "num_tokens": 10715897.0,
+      "step": 5880
+    },
+    {
+      "entropy": 5.3334348678588865,
+      "epoch": 4.8757249378624685,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00031605535962259666,
+      "loss": 4.9268,
+      "mean_token_accuracy": 0.1887778237462044,
+      "num_tokens": 10724810.0,
+      "step": 5885
+    },
+    {
+      "entropy": 5.353308916091919,
+      "epoch": 4.87986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003157411268986316,
+      "loss": 4.9771,
+      "mean_token_accuracy": 0.1932398796081543,
+      "num_tokens": 10734661.0,
+      "step": 5890
+    },
+    {
+      "entropy": 5.287876415252685,
+      "epoch": 4.884009942004971,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003154268119953615,
+      "loss": 4.9586,
+      "mean_token_accuracy": 0.19356854259967804,
+      "num_tokens": 10743642.0,
+      "step": 5895
+    },
+    {
+      "entropy": 5.344345998764038,
+      "epoch": 4.888152444076222,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003151124155467938,
+      "loss": 4.9607,
+      "mean_token_accuracy": 0.19625648856163025,
+      "num_tokens": 10752812.0,
+      "step": 5900
+    },
+    {
+      "entropy": 5.3407337188720705,
+      "epoch": 4.892294946147473,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00031479793818710056,
+      "loss": 4.9983,
+      "mean_token_accuracy": 0.18306475579738618,
+      "num_tokens": 10762117.0,
+      "step": 5905
+    },
+    {
+      "entropy": 5.299752902984619,
+      "epoch": 4.896437448218724,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031448338055061685,
+      "loss": 4.9018,
+      "mean_token_accuracy": 0.19901909530162812,
+      "num_tokens": 10771515.0,
+      "step": 5910
+    },
+    {
+      "entropy": 5.309285831451416,
+      "epoch": 4.900579950289975,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00031416874327183994,
+      "loss": 4.9486,
+      "mean_token_accuracy": 0.19302618503570557,
+      "num_tokens": 10780610.0,
+      "step": 5915
+    },
+    {
+      "entropy": 5.22410569190979,
+      "epoch": 4.904722452361226,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031385402698542753,
+      "loss": 4.9151,
+      "mean_token_accuracy": 0.19276074767112733,
+      "num_tokens": 10789169.0,
+      "step": 5920
+    },
+    {
+      "entropy": 5.30161485671997,
+      "epoch": 4.908864954432477,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031353923232619674,
+      "loss": 4.9078,
+      "mean_token_accuracy": 0.19779694378376006,
+      "num_tokens": 10798636.0,
+      "step": 5925
+    },
+    {
+      "entropy": 5.3571271896362305,
+      "epoch": 4.9130074565037285,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003132243599291229,
+      "loss": 4.9753,
+      "mean_token_accuracy": 0.19644105434417725,
+      "num_tokens": 10808245.0,
+      "step": 5930
+    },
+    {
+      "entropy": 5.384200191497802,
+      "epoch": 4.91714995857498,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00031290941042933797,
+      "loss": 4.9679,
+      "mean_token_accuracy": 0.18787674605846405,
+      "num_tokens": 10817164.0,
+      "step": 5935
+    },
+    {
+      "entropy": 5.287544202804566,
+      "epoch": 4.92129246064623,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031259438446212953,
+      "loss": 5.0007,
+      "mean_token_accuracy": 0.18373542726039888,
+      "num_tokens": 10826098.0,
+      "step": 5940
+    },
+    {
+      "entropy": 5.33493857383728,
+      "epoch": 4.925434962717482,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00031227928266293933,
+      "loss": 5.0115,
+      "mean_token_accuracy": 0.18100205808877945,
+      "num_tokens": 10836427.0,
+      "step": 5945
+    },
+    {
+      "entropy": 5.345344829559326,
+      "epoch": 4.929577464788732,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00031196410566736215,
+      "loss": 4.9689,
+      "mean_token_accuracy": 0.19277302771806717,
+      "num_tokens": 10845804.0,
+      "step": 5950
+    },
+    {
+      "entropy": 5.3519449710845945,
+      "epoch": 4.933719966859983,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00031164885411114453,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.1908810630440712,
+      "num_tokens": 10855951.0,
+      "step": 5955
+    },
+    {
+      "entropy": 5.301464605331421,
+      "epoch": 4.937862468931234,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031133352863018315,
+      "loss": 5.079,
+      "mean_token_accuracy": 0.18923453092575074,
+      "num_tokens": 10865528.0,
+      "step": 5960
+    },
+    {
+      "entropy": 5.369193601608276,
+      "epoch": 4.942004971002485,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00031101812986052406,
+      "loss": 4.9936,
+      "mean_token_accuracy": 0.19839225262403487,
+      "num_tokens": 10874365.0,
+      "step": 5965
+    },
+    {
+      "entropy": 5.310976552963257,
+      "epoch": 4.9461474730737365,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00031070265843836107,
+      "loss": 4.9184,
+      "mean_token_accuracy": 0.1972976267337799,
+      "num_tokens": 10883034.0,
+      "step": 5970
+    },
+    {
+      "entropy": 5.323369884490967,
+      "epoch": 4.950289975144988,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003103871150000345,
+      "loss": 4.9768,
+      "mean_token_accuracy": 0.1961338758468628,
+      "num_tokens": 10892307.0,
+      "step": 5975
+    },
+    {
+      "entropy": 5.354686069488525,
+      "epoch": 4.954432477216239,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00031007150018202983,
+      "loss": 5.057,
+      "mean_token_accuracy": 0.18536237627267838,
+      "num_tokens": 10902074.0,
+      "step": 5980
+    },
+    {
+      "entropy": 5.372721862792969,
+      "epoch": 4.95857497928749,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00030975581462097673,
+      "loss": 4.8961,
+      "mean_token_accuracy": 0.19350670725107194,
+      "num_tokens": 10911205.0,
+      "step": 5985
+    },
+    {
+      "entropy": 5.278085422515869,
+      "epoch": 4.962717481358741,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00030944005895364754,
+      "loss": 4.9233,
+      "mean_token_accuracy": 0.19045489132404328,
+      "num_tokens": 10920371.0,
+      "step": 5990
+    },
+    {
+      "entropy": 5.219862222671509,
+      "epoch": 4.966859983429992,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00030912423381695584,
+      "loss": 4.9124,
+      "mean_token_accuracy": 0.20015972554683686,
+      "num_tokens": 10928741.0,
+      "step": 5995
+    },
+    {
+      "entropy": 5.3216063499450685,
+      "epoch": 4.971002485501243,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00030880833984795554,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.20140086114406586,
+      "num_tokens": 10938074.0,
+      "step": 6000
+    },
+    {
+      "epoch": 4.971002485501243,
+      "eval_entropy": 5.223882782942196,
+      "eval_loss": 5.772702217102051,
+      "eval_mean_token_accuracy": 0.16291698060437307,
+      "eval_num_tokens": 10938074.0,
+      "eval_runtime": 2.7438,
+      "eval_samples_per_second": 1365.624,
+      "eval_steps_per_second": 170.931,
+      "step": 6000
+    },
+    {
+      "entropy": 5.304221105575562,
+      "epoch": 4.975144987572493,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0003084923776838392,
+      "loss": 4.9428,
+      "mean_token_accuracy": 0.1906152918934822,
+      "num_tokens": 10946756.0,
+      "step": 6005
+    },
+    {
+      "entropy": 5.28564419746399,
+      "epoch": 4.9792874896437445,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00030817634796193705,
+      "loss": 4.9192,
+      "mean_token_accuracy": 0.19711493700742722,
+      "num_tokens": 10956313.0,
+      "step": 6010
+    },
+    {
+      "entropy": 5.420253419876099,
+      "epoch": 4.983429991714996,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00030786025131971555,
+      "loss": 4.9823,
+      "mean_token_accuracy": 0.19457563310861586,
+      "num_tokens": 10964333.0,
+      "step": 6015
+    },
+    {
+      "entropy": 5.329161500930786,
+      "epoch": 4.987572493786247,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003075440883947764,
+      "loss": 4.8999,
+      "mean_token_accuracy": 0.19664130955934525,
+      "num_tokens": 10974110.0,
+      "step": 6020
+    },
+    {
+      "entropy": 5.248602771759034,
+      "epoch": 4.991714995857498,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003072278598248544,
+      "loss": 4.9529,
+      "mean_token_accuracy": 0.19656815081834794,
+      "num_tokens": 10983186.0,
+      "step": 6025
+    },
+    {
+      "entropy": 5.307998704910278,
+      "epoch": 4.995857497928749,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00030691156624781734,
+      "loss": 4.9377,
+      "mean_token_accuracy": 0.19932860583066941,
+      "num_tokens": 10992244.0,
+      "step": 6030
+    },
+    {
+      "entropy": 5.353039836883545,
+      "epoch": 5.0,
+      "grad_norm": 1.8515625,
+      "learning_rate": 0.000306595208301664,
+      "loss": 4.927,
+      "mean_token_accuracy": 0.20540354549884796,
+      "num_tokens": 11000005.0,
+      "step": 6035
+    },
+    {
+      "entropy": 5.336960649490356,
+      "epoch": 5.004142502071251,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00030627878662452273,
+      "loss": 4.7717,
+      "mean_token_accuracy": 0.20522954761981965,
+      "num_tokens": 11009346.0,
+      "step": 6040
+    },
+    {
+      "entropy": 5.356115531921387,
+      "epoch": 5.008285004142502,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003059623018546508,
+      "loss": 4.7197,
+      "mean_token_accuracy": 0.2092713624238968,
+      "num_tokens": 11017844.0,
+      "step": 6045
+    },
+    {
+      "entropy": 5.362998294830322,
+      "epoch": 5.012427506213753,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003056457546304326,
+      "loss": 4.7531,
+      "mean_token_accuracy": 0.21363187432289124,
+      "num_tokens": 11026840.0,
+      "step": 6050
+    },
+    {
+      "entropy": 5.250718975067139,
+      "epoch": 5.016570008285004,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003053291455903782,
+      "loss": 4.7186,
+      "mean_token_accuracy": 0.2076275572180748,
+      "num_tokens": 11034906.0,
+      "step": 6055
+    },
+    {
+      "entropy": 5.263190746307373,
+      "epoch": 5.0207125103562555,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00030501247537312293,
+      "loss": 4.7802,
+      "mean_token_accuracy": 0.20651286244392394,
+      "num_tokens": 11044403.0,
+      "step": 6060
+    },
+    {
+      "entropy": 5.360515308380127,
+      "epoch": 5.024855012427507,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0003046957446174251,
+      "loss": 4.7387,
+      "mean_token_accuracy": 0.21264788061380385,
+      "num_tokens": 11052685.0,
+      "step": 6065
+    },
+    {
+      "entropy": 5.316996622085571,
+      "epoch": 5.028997514498757,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00030437895396216524,
+      "loss": 4.591,
+      "mean_token_accuracy": 0.21709324419498444,
+      "num_tokens": 11060830.0,
+      "step": 6070
+    },
+    {
+      "entropy": 5.315813970565796,
+      "epoch": 5.033140016570008,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.00030406210404634475,
+      "loss": 4.7708,
+      "mean_token_accuracy": 0.20373892933130264,
+      "num_tokens": 11070220.0,
+      "step": 6075
+    },
+    {
+      "entropy": 5.294347095489502,
+      "epoch": 5.037282518641259,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003037451955090846,
+      "loss": 4.6847,
+      "mean_token_accuracy": 0.20420003384351731,
+      "num_tokens": 11079171.0,
+      "step": 6080
+    },
+    {
+      "entropy": 5.297221279144287,
+      "epoch": 5.04142502071251,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00030342822898962377,
+      "loss": 4.7697,
+      "mean_token_accuracy": 0.20524269640445708,
+      "num_tokens": 11089205.0,
+      "step": 6085
+    },
+    {
+      "entropy": 5.273457336425781,
+      "epoch": 5.045567522783761,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003031112051273185,
+      "loss": 4.7429,
+      "mean_token_accuracy": 0.21156702935695648,
+      "num_tokens": 11098339.0,
+      "step": 6090
+    },
+    {
+      "entropy": 5.299424123764038,
+      "epoch": 5.049710024855012,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003027941245616405,
+      "loss": 4.6524,
+      "mean_token_accuracy": 0.21203886568546296,
+      "num_tokens": 11107218.0,
+      "step": 6095
+    },
+    {
+      "entropy": 5.3286974906921385,
+      "epoch": 5.0538525269262635,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003024769879321761,
+      "loss": 4.7702,
+      "mean_token_accuracy": 0.2051073744893074,
+      "num_tokens": 11116457.0,
+      "step": 6100
+    },
+    {
+      "entropy": 5.300696182250976,
+      "epoch": 5.057995028997515,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0003021597958786243,
+      "loss": 4.7449,
+      "mean_token_accuracy": 0.20762935131788254,
+      "num_tokens": 11124834.0,
+      "step": 6105
+    },
+    {
+      "entropy": 5.288244676589966,
+      "epoch": 5.062137531068766,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003018425490407962,
+      "loss": 4.76,
+      "mean_token_accuracy": 0.20868725776672364,
+      "num_tokens": 11133920.0,
+      "step": 6110
+    },
+    {
+      "entropy": 5.387529897689819,
+      "epoch": 5.066280033140017,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00030152524805861344,
+      "loss": 4.7597,
+      "mean_token_accuracy": 0.20800695270299913,
+      "num_tokens": 11143573.0,
+      "step": 6115
+    },
+    {
+      "entropy": 5.3629701137542725,
+      "epoch": 5.070422535211268,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00030120789357210667,
+      "loss": 4.8139,
+      "mean_token_accuracy": 0.20669919848442078,
+      "num_tokens": 11154255.0,
+      "step": 6120
+    },
+    {
+      "entropy": 5.300123262405395,
+      "epoch": 5.074565037282519,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00030089048622141453,
+      "loss": 4.7241,
+      "mean_token_accuracy": 0.2095050945878029,
+      "num_tokens": 11163306.0,
+      "step": 6125
+    },
+    {
+      "entropy": 5.368470001220703,
+      "epoch": 5.078707539353769,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00030057302664678243,
+      "loss": 4.7569,
+      "mean_token_accuracy": 0.20853464156389237,
+      "num_tokens": 11172763.0,
+      "step": 6130
+    },
+    {
+      "entropy": 5.33392744064331,
+      "epoch": 5.08285004142502,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00030025551548856105,
+      "loss": 4.7413,
+      "mean_token_accuracy": 0.20951523035764694,
+      "num_tokens": 11182196.0,
+      "step": 6135
+    },
+    {
+      "entropy": 5.287980794906616,
+      "epoch": 5.0869925434962715,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002999379533872051,
+      "loss": 4.7905,
+      "mean_token_accuracy": 0.19804110527038574,
+      "num_tokens": 11192462.0,
+      "step": 6140
+    },
+    {
+      "entropy": 5.281665325164795,
+      "epoch": 5.091135045567523,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002996203409832719,
+      "loss": 4.7519,
+      "mean_token_accuracy": 0.2107569918036461,
+      "num_tokens": 11201805.0,
+      "step": 6145
+    },
+    {
+      "entropy": 5.31660532951355,
+      "epoch": 5.095277547638774,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002993026789174205,
+      "loss": 4.7322,
+      "mean_token_accuracy": 0.21754502654075622,
+      "num_tokens": 11210114.0,
+      "step": 6150
+    },
+    {
+      "entropy": 5.335706996917724,
+      "epoch": 5.099420049710025,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002989849678304099,
+      "loss": 4.8147,
+      "mean_token_accuracy": 0.20241696387529373,
+      "num_tokens": 11219725.0,
+      "step": 6155
+    },
+    {
+      "entropy": 5.308135366439819,
+      "epoch": 5.103562551781276,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00029866720836309817,
+      "loss": 4.7283,
+      "mean_token_accuracy": 0.20736500322818757,
+      "num_tokens": 11228583.0,
+      "step": 6160
+    },
+    {
+      "entropy": 5.3292882442474365,
+      "epoch": 5.107705053852527,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00029834940115644086,
+      "loss": 4.7472,
+      "mean_token_accuracy": 0.20635622441768647,
+      "num_tokens": 11237787.0,
+      "step": 6165
+    },
+    {
+      "entropy": 5.2917111873626705,
+      "epoch": 5.111847555923778,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002980315468514898,
+      "loss": 4.7704,
+      "mean_token_accuracy": 0.20057149082422257,
+      "num_tokens": 11247136.0,
+      "step": 6170
+    },
+    {
+      "entropy": 5.239889097213745,
+      "epoch": 5.115990057995029,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00029771364608939196,
+      "loss": 4.6994,
+      "mean_token_accuracy": 0.20981708765029908,
+      "num_tokens": 11256931.0,
+      "step": 6175
+    },
+    {
+      "entropy": 5.272354030609131,
+      "epoch": 5.12013256006628,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002973956995113878,
+      "loss": 4.6811,
+      "mean_token_accuracy": 0.20489206910133362,
+      "num_tokens": 11266457.0,
+      "step": 6180
+    },
+    {
+      "entropy": 5.272558641433716,
+      "epoch": 5.1242750621375315,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.0002970777077588103,
+      "loss": 4.6443,
+      "mean_token_accuracy": 0.2170465260744095,
+      "num_tokens": 11274239.0,
+      "step": 6185
+    },
+    {
+      "entropy": 5.282349872589111,
+      "epoch": 5.128417564208782,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0002967596714730837,
+      "loss": 4.7752,
+      "mean_token_accuracy": 0.20363858938217164,
+      "num_tokens": 11283239.0,
+      "step": 6190
+    },
+    {
+      "entropy": 5.285331869125367,
+      "epoch": 5.132560066280033,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00029644159129572185,
+      "loss": 4.7121,
+      "mean_token_accuracy": 0.2075791761279106,
+      "num_tokens": 11291662.0,
+      "step": 6195
+    },
+    {
+      "entropy": 5.2614960193634035,
+      "epoch": 5.136702568351284,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002961234678683272,
+      "loss": 4.7453,
+      "mean_token_accuracy": 0.21309943348169327,
+      "num_tokens": 11300165.0,
+      "step": 6200
+    },
+    {
+      "entropy": 5.323043155670166,
+      "epoch": 5.140845070422535,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0002958053018325896,
+      "loss": 4.7132,
+      "mean_token_accuracy": 0.21612811386585234,
+      "num_tokens": 11309729.0,
+      "step": 6205
+    },
+    {
+      "entropy": 5.375712585449219,
+      "epoch": 5.144987572493786,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002954870938302846,
+      "loss": 4.7657,
+      "mean_token_accuracy": 0.2033802881836891,
+      "num_tokens": 11318674.0,
+      "step": 6210
+    },
+    {
+      "entropy": 5.292187595367432,
+      "epoch": 5.149130074565037,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002951688445032726,
+      "loss": 4.7309,
+      "mean_token_accuracy": 0.21144932359457017,
+      "num_tokens": 11327583.0,
+      "step": 6215
+    },
+    {
+      "entropy": 5.326848030090332,
+      "epoch": 5.153272576636288,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002948505544934971,
+      "loss": 4.7639,
+      "mean_token_accuracy": 0.2049189493060112,
+      "num_tokens": 11338132.0,
+      "step": 6220
+    },
+    {
+      "entropy": 5.31851224899292,
+      "epoch": 5.1574150787075395,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000294532224442984,
+      "loss": 4.7911,
+      "mean_token_accuracy": 0.20397177040576936,
+      "num_tokens": 11347210.0,
+      "step": 6225
+    },
+    {
+      "entropy": 5.275168132781983,
+      "epoch": 5.161557580778791,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00029421385499383976,
+      "loss": 4.6742,
+      "mean_token_accuracy": 0.22349916100502015,
+      "num_tokens": 11355479.0,
+      "step": 6230
+    },
+    {
+      "entropy": 5.348278999328613,
+      "epoch": 5.165700082850042,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00029389544678825035,
+      "loss": 4.8403,
+      "mean_token_accuracy": 0.19372698813676834,
+      "num_tokens": 11364518.0,
+      "step": 6235
+    },
+    {
+      "entropy": 5.247139596939087,
+      "epoch": 5.169842584921293,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00029357700046847985,
+      "loss": 4.737,
+      "mean_token_accuracy": 0.2046540141105652,
+      "num_tokens": 11373589.0,
+      "step": 6240
+    },
+    {
+      "entropy": 5.368101263046265,
+      "epoch": 5.173985086992544,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002932585166768694,
+      "loss": 4.7938,
+      "mean_token_accuracy": 0.20394597351551055,
+      "num_tokens": 11383209.0,
+      "step": 6245
+    },
+    {
+      "entropy": 5.315500497817993,
+      "epoch": 5.178127589063794,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00029293999605583545,
+      "loss": 4.7294,
+      "mean_token_accuracy": 0.20444581657648087,
+      "num_tokens": 11392012.0,
+      "step": 6250
+    },
+    {
+      "entropy": 5.282355690002442,
+      "epoch": 5.182270091135045,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00029262143924786905,
+      "loss": 4.7761,
+      "mean_token_accuracy": 0.20456164181232453,
+      "num_tokens": 11400489.0,
+      "step": 6255
+    },
+    {
+      "entropy": 5.2667319774627686,
+      "epoch": 5.186412593206296,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00029230284689553404,
+      "loss": 4.6817,
+      "mean_token_accuracy": 0.21175160706043245,
+      "num_tokens": 11409337.0,
+      "step": 6260
+    },
+    {
+      "entropy": 5.286681175231934,
+      "epoch": 5.190555095277547,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00029198421964146605,
+      "loss": 4.7382,
+      "mean_token_accuracy": 0.21787525415420533,
+      "num_tokens": 11418650.0,
+      "step": 6265
+    },
+    {
+      "entropy": 5.2383523941040036,
+      "epoch": 5.1946975973487985,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002916655581283709,
+      "loss": 4.747,
+      "mean_token_accuracy": 0.20590767711400987,
+      "num_tokens": 11427516.0,
+      "step": 6270
+    },
+    {
+      "entropy": 5.225810289382935,
+      "epoch": 5.19884009942005,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00029134686299902397,
+      "loss": 4.7223,
+      "mean_token_accuracy": 0.20668105334043502,
+      "num_tokens": 11435676.0,
+      "step": 6275
+    },
+    {
+      "entropy": 5.336339044570923,
+      "epoch": 5.202982601491301,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002910281348962679,
+      "loss": 4.7825,
+      "mean_token_accuracy": 0.1937339723110199,
+      "num_tokens": 11444520.0,
+      "step": 6280
+    },
+    {
+      "entropy": 5.342389440536499,
+      "epoch": 5.207125103562552,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00029070937446301225,
+      "loss": 4.7611,
+      "mean_token_accuracy": 0.20350439995527267,
+      "num_tokens": 11453759.0,
+      "step": 6285
+    },
+    {
+      "entropy": 5.377904796600342,
+      "epoch": 5.211267605633803,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002903905823422317,
+      "loss": 4.9078,
+      "mean_token_accuracy": 0.1901518851518631,
+      "num_tokens": 11463409.0,
+      "step": 6290
+    },
+    {
+      "entropy": 5.323945093154907,
+      "epoch": 5.215410107705054,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002900717591769646,
+      "loss": 4.7966,
+      "mean_token_accuracy": 0.20510322898626326,
+      "num_tokens": 11473440.0,
+      "step": 6295
+    },
+    {
+      "entropy": 5.27484130859375,
+      "epoch": 5.219552609776305,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002897529056103122,
+      "loss": 4.6336,
+      "mean_token_accuracy": 0.2183629482984543,
+      "num_tokens": 11482353.0,
+      "step": 6300
+    },
+    {
+      "entropy": 5.297479438781738,
+      "epoch": 5.223695111847556,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002894340222854371,
+      "loss": 4.7712,
+      "mean_token_accuracy": 0.20640946179628372,
+      "num_tokens": 11491331.0,
+      "step": 6305
+    },
+    {
+      "entropy": 5.215849542617798,
+      "epoch": 5.2278376139188065,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002891151098455617,
+      "loss": 4.7107,
+      "mean_token_accuracy": 0.20350281596183778,
+      "num_tokens": 11500553.0,
+      "step": 6310
+    },
+    {
+      "entropy": 5.170541191101075,
+      "epoch": 5.231980115990058,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002887961689339672,
+      "loss": 4.6526,
+      "mean_token_accuracy": 0.21051572561264037,
+      "num_tokens": 11509146.0,
+      "step": 6315
+    },
+    {
+      "entropy": 5.332199335098267,
+      "epoch": 5.236122618061309,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002884772001939924,
+      "loss": 4.7771,
+      "mean_token_accuracy": 0.20190449655056,
+      "num_tokens": 11518172.0,
+      "step": 6320
+    },
+    {
+      "entropy": 5.30375485420227,
+      "epoch": 5.24026512013256,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000288158204269032,
+      "loss": 4.7764,
+      "mean_token_accuracy": 0.19927115142345428,
+      "num_tokens": 11527291.0,
+      "step": 6325
+    },
+    {
+      "entropy": 5.285002279281616,
+      "epoch": 5.244407622203811,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00028783918180253567,
+      "loss": 4.7763,
+      "mean_token_accuracy": 0.20877851247787477,
+      "num_tokens": 11536306.0,
+      "step": 6330
+    },
+    {
+      "entropy": 5.325639486312866,
+      "epoch": 5.248550124275062,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002875201334380066,
+      "loss": 4.801,
+      "mean_token_accuracy": 0.20768691897392272,
+      "num_tokens": 11545879.0,
+      "step": 6335
+    },
+    {
+      "entropy": 5.260626125335693,
+      "epoch": 5.252692626346313,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002872010598190002,
+      "loss": 4.7203,
+      "mean_token_accuracy": 0.21331494748592378,
+      "num_tokens": 11555067.0,
+      "step": 6340
+    },
+    {
+      "entropy": 5.273142910003662,
+      "epoch": 5.256835128417564,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002868819615891229,
+      "loss": 4.699,
+      "mean_token_accuracy": 0.211579430103302,
+      "num_tokens": 11563419.0,
+      "step": 6345
+    },
+    {
+      "entropy": 5.256633758544922,
+      "epoch": 5.260977630488815,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002865628393920305,
+      "loss": 4.7696,
+      "mean_token_accuracy": 0.207663132250309,
+      "num_tokens": 11573018.0,
+      "step": 6350
+    },
+    {
+      "entropy": 5.237578821182251,
+      "epoch": 5.2651201325600665,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.0002862436938714276,
+      "loss": 4.7003,
+      "mean_token_accuracy": 0.20862672179937364,
+      "num_tokens": 11581996.0,
+      "step": 6355
+    },
+    {
+      "entropy": 5.355519008636475,
+      "epoch": 5.269262634631318,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002859245256710654,
+      "loss": 4.7534,
+      "mean_token_accuracy": 0.20775581747293473,
+      "num_tokens": 11591706.0,
+      "step": 6360
+    },
+    {
+      "entropy": 5.319948673248291,
+      "epoch": 5.273405136702569,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002856053354347411,
+      "loss": 4.7813,
+      "mean_token_accuracy": 0.2074725329875946,
+      "num_tokens": 11600616.0,
+      "step": 6365
+    },
+    {
+      "entropy": 5.243834018707275,
+      "epoch": 5.27754763877382,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002852861238062963,
+      "loss": 4.6584,
+      "mean_token_accuracy": 0.21568063348531724,
+      "num_tokens": 11609650.0,
+      "step": 6370
+    },
+    {
+      "entropy": 5.26465950012207,
+      "epoch": 5.28169014084507,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002849668914296157,
+      "loss": 4.6998,
+      "mean_token_accuracy": 0.21142313480377198,
+      "num_tokens": 11618785.0,
+      "step": 6375
+    },
+    {
+      "entropy": 5.305418300628662,
+      "epoch": 5.285832642916321,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000284647638948626,
+      "loss": 4.7576,
+      "mean_token_accuracy": 0.20556087791919708,
+      "num_tokens": 11628089.0,
+      "step": 6380
+    },
+    {
+      "entropy": 5.268257570266724,
+      "epoch": 5.289975144987572,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002843283670072942,
+      "loss": 4.8658,
+      "mean_token_accuracy": 0.19545172303915023,
+      "num_tokens": 11636954.0,
+      "step": 6385
+    },
+    {
+      "entropy": 5.275126600265503,
+      "epoch": 5.294117647058823,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0002840090762496268,
+      "loss": 4.7803,
+      "mean_token_accuracy": 0.20498874336481093,
+      "num_tokens": 11646719.0,
+      "step": 6390
+    },
+    {
+      "entropy": 5.340854024887085,
+      "epoch": 5.2982601491300745,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002836897673196681,
+      "loss": 4.7015,
+      "mean_token_accuracy": 0.20719585418701172,
+      "num_tokens": 11655589.0,
+      "step": 6395
+    },
+    {
+      "entropy": 5.227226972579956,
+      "epoch": 5.302402651201326,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00028337044086149913,
+      "loss": 4.7283,
+      "mean_token_accuracy": 0.20560554265975953,
+      "num_tokens": 11663703.0,
+      "step": 6400
+    },
+    {
+      "entropy": 5.296469211578369,
+      "epoch": 5.306545153272577,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00028305109751923616,
+      "loss": 4.8177,
+      "mean_token_accuracy": 0.20388006865978242,
+      "num_tokens": 11672643.0,
+      "step": 6405
+    },
+    {
+      "entropy": 5.270711994171142,
+      "epoch": 5.310687655343828,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00028273173793702967,
+      "loss": 4.673,
+      "mean_token_accuracy": 0.2078327417373657,
+      "num_tokens": 11681449.0,
+      "step": 6410
+    },
+    {
+      "entropy": 5.301759338378906,
+      "epoch": 5.314830157415079,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002824123627590629,
+      "loss": 4.7568,
+      "mean_token_accuracy": 0.19922166019678117,
+      "num_tokens": 11690820.0,
+      "step": 6415
+    },
+    {
+      "entropy": 5.291653823852539,
+      "epoch": 5.31897265948633,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002820929726295504,
+      "loss": 4.7858,
+      "mean_token_accuracy": 0.2068773627281189,
+      "num_tokens": 11699705.0,
+      "step": 6420
+    },
+    {
+      "entropy": 5.257635831832886,
+      "epoch": 5.323115161557581,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002817735681927371,
+      "loss": 4.7267,
+      "mean_token_accuracy": 0.21190525144338607,
+      "num_tokens": 11709417.0,
+      "step": 6425
+    },
+    {
+      "entropy": 5.305531692504883,
+      "epoch": 5.327257663628831,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00028145415009289644,
+      "loss": 4.7662,
+      "mean_token_accuracy": 0.2035451725125313,
+      "num_tokens": 11718661.0,
+      "step": 6430
+    },
+    {
+      "entropy": 5.240819025039673,
+      "epoch": 5.3314001657000825,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002811347189743297,
+      "loss": 4.7448,
+      "mean_token_accuracy": 0.21049206256866454,
+      "num_tokens": 11727568.0,
+      "step": 6435
+    },
+    {
+      "entropy": 5.250747394561768,
+      "epoch": 5.335542667771334,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00028081527548136446,
+      "loss": 4.6853,
+      "mean_token_accuracy": 0.2216053858399391,
+      "num_tokens": 11736615.0,
+      "step": 6440
+    },
+    {
+      "entropy": 5.348236608505249,
+      "epoch": 5.339685169842585,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002804958202583531,
+      "loss": 4.8181,
+      "mean_token_accuracy": 0.19986798763275146,
+      "num_tokens": 11747458.0,
+      "step": 6445
+    },
+    {
+      "entropy": 5.277511358261108,
+      "epoch": 5.343827671913836,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002801763539496718,
+      "loss": 4.7878,
+      "mean_token_accuracy": 0.2081502467393875,
+      "num_tokens": 11756279.0,
+      "step": 6450
+    },
+    {
+      "entropy": 5.279990530014038,
+      "epoch": 5.347970173985087,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002798568771997188,
+      "loss": 4.7942,
+      "mean_token_accuracy": 0.2071585923433304,
+      "num_tokens": 11765022.0,
+      "step": 6455
+    },
+    {
+      "entropy": 5.2339942932128904,
+      "epoch": 5.352112676056338,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002795373906529137,
+      "loss": 4.7376,
+      "mean_token_accuracy": 0.20560838282108307,
+      "num_tokens": 11774704.0,
+      "step": 6460
+    },
+    {
+      "entropy": 5.248803615570068,
+      "epoch": 5.356255178127589,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002792178949536959,
+      "loss": 4.6784,
+      "mean_token_accuracy": 0.21611350923776626,
+      "num_tokens": 11782309.0,
+      "step": 6465
+    },
+    {
+      "entropy": 5.28652811050415,
+      "epoch": 5.36039768019884,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000278898390746523,
+      "loss": 4.7467,
+      "mean_token_accuracy": 0.20095686316490174,
+      "num_tokens": 11792595.0,
+      "step": 6470
+    },
+    {
+      "entropy": 5.2047077178955075,
+      "epoch": 5.364540182270091,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00027857887867587005,
+      "loss": 4.7269,
+      "mean_token_accuracy": 0.21140239089727403,
+      "num_tokens": 11801536.0,
+      "step": 6475
+    },
+    {
+      "entropy": 5.271708583831787,
+      "epoch": 5.368682684341342,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002782593593862276,
+      "loss": 4.8229,
+      "mean_token_accuracy": 0.19779271334409715,
+      "num_tokens": 11810222.0,
+      "step": 6480
+    },
+    {
+      "entropy": 5.317666244506836,
+      "epoch": 5.3728251864125935,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002779398335221011,
+      "loss": 4.8066,
+      "mean_token_accuracy": 0.20721431225538253,
+      "num_tokens": 11819310.0,
+      "step": 6485
+    },
+    {
+      "entropy": 5.305458688735962,
+      "epoch": 5.376967688483845,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.0002776203017280092,
+      "loss": 4.7703,
+      "mean_token_accuracy": 0.19982181042432784,
+      "num_tokens": 11827916.0,
+      "step": 6490
+    },
+    {
+      "entropy": 5.217341518402099,
+      "epoch": 5.381110190555095,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00027730076464848225,
+      "loss": 4.7654,
+      "mean_token_accuracy": 0.20862893313169478,
+      "num_tokens": 11836770.0,
+      "step": 6495
+    },
+    {
+      "entropy": 5.276216888427735,
+      "epoch": 5.385252692626346,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00027698122292806174,
+      "loss": 4.7006,
+      "mean_token_accuracy": 0.21164953708648682,
+      "num_tokens": 11845917.0,
+      "step": 6500
+    },
+    {
+      "epoch": 5.385252692626346,
+      "eval_entropy": 5.213927641097925,
+      "eval_loss": 5.769200801849365,
+      "eval_mean_token_accuracy": 0.16407465213524508,
+      "eval_num_tokens": 11845917.0,
+      "eval_runtime": 2.9494,
+      "eval_samples_per_second": 1270.426,
+      "eval_steps_per_second": 159.015,
+      "step": 6500
+    },
+    {
+      "entropy": 5.290333843231201,
+      "epoch": 5.389395194697597,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.000276661677211298,
+      "loss": 4.7403,
+      "mean_token_accuracy": 0.20341738760471345,
+      "num_tokens": 11855118.0,
+      "step": 6505
+    },
+    {
+      "entropy": 5.278094148635864,
+      "epoch": 5.393537696768848,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002763421281427497,
+      "loss": 4.6794,
+      "mean_token_accuracy": 0.21257141679525376,
+      "num_tokens": 11863793.0,
+      "step": 6510
+    },
+    {
+      "entropy": 5.368717813491822,
+      "epoch": 5.397680198840099,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002760225763669823,
+      "loss": 4.8171,
+      "mean_token_accuracy": 0.197501078248024,
+      "num_tokens": 11873194.0,
+      "step": 6515
+    },
+    {
+      "entropy": 5.341726636886596,
+      "epoch": 5.40182270091135,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00027570302252856666,
+      "loss": 4.7747,
+      "mean_token_accuracy": 0.20519590526819229,
+      "num_tokens": 11882566.0,
+      "step": 6520
+    },
+    {
+      "entropy": 5.2676441192626955,
+      "epoch": 5.4059652029826015,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00027538346727207767,
+      "loss": 4.7475,
+      "mean_token_accuracy": 0.21314287781715394,
+      "num_tokens": 11892267.0,
+      "step": 6525
+    },
+    {
+      "entropy": 5.272220420837402,
+      "epoch": 5.410107705053853,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002750639112420934,
+      "loss": 4.7716,
+      "mean_token_accuracy": 0.21124217808246612,
+      "num_tokens": 11901440.0,
+      "step": 6530
+    },
+    {
+      "entropy": 5.270874547958374,
+      "epoch": 5.414250207125104,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00027474435508319304,
+      "loss": 4.8396,
+      "mean_token_accuracy": 0.20556266158819197,
+      "num_tokens": 11911259.0,
+      "step": 6535
+    },
+    {
+      "entropy": 5.265343093872071,
+      "epoch": 5.418392709196355,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00027442479943995645,
+      "loss": 4.7941,
+      "mean_token_accuracy": 0.2035036563873291,
+      "num_tokens": 11920467.0,
+      "step": 6540
+    },
+    {
+      "entropy": 5.283535575866699,
+      "epoch": 5.422535211267606,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002741052449569624,
+      "loss": 4.8089,
+      "mean_token_accuracy": 0.19865555614233016,
+      "num_tokens": 11929971.0,
+      "step": 6545
+    },
+    {
+      "entropy": 5.330445003509522,
+      "epoch": 5.426677713338857,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002737856922787869,
+      "loss": 4.8088,
+      "mean_token_accuracy": 0.19926221221685408,
+      "num_tokens": 11938585.0,
+      "step": 6550
+    },
+    {
+      "entropy": 5.301173543930053,
+      "epoch": 5.430820215410108,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027346614205000277,
+      "loss": 4.7884,
+      "mean_token_accuracy": 0.20320066064596176,
+      "num_tokens": 11948264.0,
+      "step": 6555
+    },
+    {
+      "entropy": 5.329202175140381,
+      "epoch": 5.434962717481358,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00027314659491517777,
+      "loss": 4.7827,
+      "mean_token_accuracy": 0.2079697236418724,
+      "num_tokens": 11958459.0,
+      "step": 6560
+    },
+    {
+      "entropy": 5.296626996994019,
+      "epoch": 5.4391052195526095,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002728270515188733,
+      "loss": 4.7728,
+      "mean_token_accuracy": 0.20527158677577972,
+      "num_tokens": 11967994.0,
+      "step": 6565
+    },
+    {
+      "entropy": 5.325187683105469,
+      "epoch": 5.443247721623861,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002725075125056435,
+      "loss": 4.8235,
+      "mean_token_accuracy": 0.21111733317375184,
+      "num_tokens": 11976564.0,
+      "step": 6570
+    },
+    {
+      "entropy": 5.296580266952515,
+      "epoch": 5.447390223695112,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002721879785200333,
+      "loss": 4.7541,
+      "mean_token_accuracy": 0.21026979386806488,
+      "num_tokens": 11985682.0,
+      "step": 6575
+    },
+    {
+      "entropy": 5.34701886177063,
+      "epoch": 5.451532725766363,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002718684502065777,
+      "loss": 4.8138,
+      "mean_token_accuracy": 0.20367322415113448,
+      "num_tokens": 11995098.0,
+      "step": 6580
+    },
+    {
+      "entropy": 5.3261590003967285,
+      "epoch": 5.455675227837614,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00027154892820980024,
+      "loss": 4.8096,
+      "mean_token_accuracy": 0.206008443236351,
+      "num_tokens": 12004538.0,
+      "step": 6585
+    },
+    {
+      "entropy": 5.262662792205811,
+      "epoch": 5.459817729908865,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00027122941317421175,
+      "loss": 4.741,
+      "mean_token_accuracy": 0.21086378544569015,
+      "num_tokens": 12012568.0,
+      "step": 6590
+    },
+    {
+      "entropy": 5.287980222702027,
+      "epoch": 5.463960231980116,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000270909905744309,
+      "loss": 4.776,
+      "mean_token_accuracy": 0.20741475820541383,
+      "num_tokens": 12021934.0,
+      "step": 6595
+    },
+    {
+      "entropy": 5.313226222991943,
+      "epoch": 5.468102734051367,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00027059040656457316,
+      "loss": 4.8104,
+      "mean_token_accuracy": 0.2010733589529991,
+      "num_tokens": 12031158.0,
+      "step": 6600
+    },
+    {
+      "entropy": 5.3314722061157225,
+      "epoch": 5.472245236122618,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002702709162794692,
+      "loss": 4.8078,
+      "mean_token_accuracy": 0.20088913142681122,
+      "num_tokens": 12040392.0,
+      "step": 6605
+    },
+    {
+      "entropy": 5.248980331420898,
+      "epoch": 5.4763877381938695,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00026995143553344394,
+      "loss": 4.6481,
+      "mean_token_accuracy": 0.21935920119285585,
+      "num_tokens": 12048412.0,
+      "step": 6610
+    },
+    {
+      "entropy": 5.258455896377564,
+      "epoch": 5.48053024026512,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00026963196497092483,
+      "loss": 4.7625,
+      "mean_token_accuracy": 0.20619691014289857,
+      "num_tokens": 12057681.0,
+      "step": 6615
+    },
+    {
+      "entropy": 5.290913534164429,
+      "epoch": 5.484672742336371,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00026931250523631905,
+      "loss": 4.7451,
+      "mean_token_accuracy": 0.20713003873825073,
+      "num_tokens": 12066243.0,
+      "step": 6620
+    },
+    {
+      "entropy": 5.215484523773194,
+      "epoch": 5.488815244407622,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026899305697401175,
+      "loss": 4.7545,
+      "mean_token_accuracy": 0.20806889086961747,
+      "num_tokens": 12075312.0,
+      "step": 6625
+    },
+    {
+      "entropy": 5.231590509414673,
+      "epoch": 5.492957746478873,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002686736208283649,
+      "loss": 4.7629,
+      "mean_token_accuracy": 0.20990005433559417,
+      "num_tokens": 12083990.0,
+      "step": 6630
+    },
+    {
+      "entropy": 5.376721620559692,
+      "epoch": 5.497100248550124,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00026835419744371627,
+      "loss": 4.8732,
+      "mean_token_accuracy": 0.19839346706867217,
+      "num_tokens": 12093301.0,
+      "step": 6635
+    },
+    {
+      "entropy": 5.241463851928711,
+      "epoch": 5.501242750621375,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002680347874643775,
+      "loss": 4.6882,
+      "mean_token_accuracy": 0.21418087482452391,
+      "num_tokens": 12102054.0,
+      "step": 6640
+    },
+    {
+      "entropy": 5.262872982025146,
+      "epoch": 5.505385252692626,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002677153915346336,
+      "loss": 4.7708,
+      "mean_token_accuracy": 0.20341249853372573,
+      "num_tokens": 12111432.0,
+      "step": 6645
+    },
+    {
+      "entropy": 5.237018823623657,
+      "epoch": 5.5095277547638775,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002673960102987412,
+      "loss": 4.7032,
+      "mean_token_accuracy": 0.21349260658025743,
+      "num_tokens": 12120424.0,
+      "step": 6650
+    },
+    {
+      "entropy": 5.301366519927979,
+      "epoch": 5.513670256835129,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00026707664440092676,
+      "loss": 4.8377,
+      "mean_token_accuracy": 0.20626042485237123,
+      "num_tokens": 12130210.0,
+      "step": 6655
+    },
+    {
+      "entropy": 5.414148330688477,
+      "epoch": 5.51781275890638,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00026675729448538655,
+      "loss": 4.8269,
+      "mean_token_accuracy": 0.21095569282770157,
+      "num_tokens": 12139366.0,
+      "step": 6660
+    },
+    {
+      "entropy": 5.2740867137908936,
+      "epoch": 5.521955260977631,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00026643796119628404,
+      "loss": 4.6432,
+      "mean_token_accuracy": 0.21321782022714614,
+      "num_tokens": 12148385.0,
+      "step": 6665
+    },
+    {
+      "entropy": 5.290845537185669,
+      "epoch": 5.526097763048882,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002661186451777495,
+      "loss": 4.7822,
+      "mean_token_accuracy": 0.20492887496948242,
+      "num_tokens": 12156640.0,
+      "step": 6670
+    },
+    {
+      "entropy": 5.280693674087525,
+      "epoch": 5.530240265120133,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002657993470738781,
+      "loss": 4.8587,
+      "mean_token_accuracy": 0.19673615247011184,
+      "num_tokens": 12166532.0,
+      "step": 6675
+    },
+    {
+      "entropy": 5.24079852104187,
+      "epoch": 5.534382767191383,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026548006752872915,
+      "loss": 4.6934,
+      "mean_token_accuracy": 0.2146509751677513,
+      "num_tokens": 12175239.0,
+      "step": 6680
+    },
+    {
+      "entropy": 5.243715524673462,
+      "epoch": 5.538525269262634,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002651608071863244,
+      "loss": 4.7611,
+      "mean_token_accuracy": 0.20688466280698775,
+      "num_tokens": 12184588.0,
+      "step": 6685
+    },
+    {
+      "entropy": 5.333131456375122,
+      "epoch": 5.542667771333885,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00026484156669064665,
+      "loss": 4.8177,
+      "mean_token_accuracy": 0.20230551064014435,
+      "num_tokens": 12194140.0,
+      "step": 6690
+    },
+    {
+      "entropy": 5.310734224319458,
+      "epoch": 5.5468102734051365,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.000264522346685639,
+      "loss": 4.8193,
+      "mean_token_accuracy": 0.20696787536144257,
+      "num_tokens": 12203504.0,
+      "step": 6695
+    },
+    {
+      "entropy": 5.33381724357605,
+      "epoch": 5.550952775476388,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0002642031478152031,
+      "loss": 4.7782,
+      "mean_token_accuracy": 0.207833394408226,
+      "num_tokens": 12212594.0,
+      "step": 6700
+    },
+    {
+      "entropy": 5.3383890151977536,
+      "epoch": 5.555095277547639,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00026388397072319786,
+      "loss": 4.8162,
+      "mean_token_accuracy": 0.2045178234577179,
+      "num_tokens": 12222101.0,
+      "step": 6705
+    },
+    {
+      "entropy": 5.29089732170105,
+      "epoch": 5.55923777961889,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002635648160534385,
+      "loss": 4.8118,
+      "mean_token_accuracy": 0.20435990989208222,
+      "num_tokens": 12232118.0,
+      "step": 6710
+    },
+    {
+      "entropy": 5.352822351455688,
+      "epoch": 5.563380281690141,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026324568444969473,
+      "loss": 4.7439,
+      "mean_token_accuracy": 0.20706239342689514,
+      "num_tokens": 12241275.0,
+      "step": 6715
+    },
+    {
+      "entropy": 5.245583724975586,
+      "epoch": 5.567522783761392,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026292657655569,
+      "loss": 4.7375,
+      "mean_token_accuracy": 0.21279312521219254,
+      "num_tokens": 12251125.0,
+      "step": 6720
+    },
+    {
+      "entropy": 5.229356813430786,
+      "epoch": 5.571665285832643,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00026260749301509954,
+      "loss": 4.7241,
+      "mean_token_accuracy": 0.21198077648878097,
+      "num_tokens": 12260613.0,
+      "step": 6725
+    },
+    {
+      "entropy": 5.324583339691162,
+      "epoch": 5.575807787903894,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026228843447155005,
+      "loss": 4.733,
+      "mean_token_accuracy": 0.2107634127140045,
+      "num_tokens": 12269878.0,
+      "step": 6730
+    },
+    {
+      "entropy": 5.270222854614258,
+      "epoch": 5.5799502899751445,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00026196940156861736,
+      "loss": 4.7819,
+      "mean_token_accuracy": 0.20616225749254227,
+      "num_tokens": 12278616.0,
+      "step": 6735
+    },
+    {
+      "entropy": 5.194797945022583,
+      "epoch": 5.584092792046396,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00026165039494982555,
+      "loss": 4.7068,
+      "mean_token_accuracy": 0.2110671728849411,
+      "num_tokens": 12287104.0,
+      "step": 6740
+    },
+    {
+      "entropy": 5.187378549575806,
+      "epoch": 5.588235294117647,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00026133141525864605,
+      "loss": 4.7357,
+      "mean_token_accuracy": 0.20822987705469131,
+      "num_tokens": 12296503.0,
+      "step": 6745
+    },
+    {
+      "entropy": 5.294446992874145,
+      "epoch": 5.592377796188898,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00026101246313849557,
+      "loss": 4.6989,
+      "mean_token_accuracy": 0.2123148426413536,
+      "num_tokens": 12306298.0,
+      "step": 6750
+    },
+    {
+      "entropy": 5.2862865924835205,
+      "epoch": 5.596520298260149,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0002606935392327356,
+      "loss": 4.7664,
+      "mean_token_accuracy": 0.20611962229013442,
+      "num_tokens": 12314826.0,
+      "step": 6755
+    },
+    {
+      "entropy": 5.258157396316529,
+      "epoch": 5.6006628003314,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00026037464418467035,
+      "loss": 4.7079,
+      "mean_token_accuracy": 0.21357058137655258,
+      "num_tokens": 12323776.0,
+      "step": 6760
+    },
+    {
+      "entropy": 5.312329053878784,
+      "epoch": 5.604805302402651,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002600557786375459,
+      "loss": 4.7819,
+      "mean_token_accuracy": 0.20854859054088593,
+      "num_tokens": 12332374.0,
+      "step": 6765
+    },
+    {
+      "entropy": 5.217779874801636,
+      "epoch": 5.608947804473902,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00025973694323454916,
+      "loss": 4.6354,
+      "mean_token_accuracy": 0.21756067872047424,
+      "num_tokens": 12341007.0,
+      "step": 6770
+    },
+    {
+      "entropy": 5.175305271148682,
+      "epoch": 5.613090306545153,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00025941813861880575,
+      "loss": 4.7114,
+      "mean_token_accuracy": 0.20966241657733917,
+      "num_tokens": 12350330.0,
+      "step": 6775
+    },
+    {
+      "entropy": 5.267894315719604,
+      "epoch": 5.6172328086164045,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00025909936543337957,
+      "loss": 4.7519,
+      "mean_token_accuracy": 0.1993374451994896,
+      "num_tokens": 12358592.0,
+      "step": 6780
+    },
+    {
+      "entropy": 5.290813016891479,
+      "epoch": 5.621375310687656,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002587806243212709,
+      "loss": 4.7692,
+      "mean_token_accuracy": 0.20917081385850905,
+      "num_tokens": 12368195.0,
+      "step": 6785
+    },
+    {
+      "entropy": 5.241605234146118,
+      "epoch": 5.625517812758907,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002584619159254154,
+      "loss": 4.7124,
+      "mean_token_accuracy": 0.20834194272756576,
+      "num_tokens": 12377206.0,
+      "step": 6790
+    },
+    {
+      "entropy": 5.247827816009521,
+      "epoch": 5.629660314830158,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00025814324088868276,
+      "loss": 4.7593,
+      "mean_token_accuracy": 0.21013118624687194,
+      "num_tokens": 12386595.0,
+      "step": 6795
+    },
+    {
+      "entropy": 5.175970602035522,
+      "epoch": 5.633802816901408,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00025782459985387526,
+      "loss": 4.6569,
+      "mean_token_accuracy": 0.2180004358291626,
+      "num_tokens": 12395923.0,
+      "step": 6800
+    },
+    {
+      "entropy": 5.269517803192139,
+      "epoch": 5.637945318972659,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002575059934637268,
+      "loss": 4.7985,
+      "mean_token_accuracy": 0.20669761300086975,
+      "num_tokens": 12405094.0,
+      "step": 6805
+    },
+    {
+      "entropy": 5.268765878677368,
+      "epoch": 5.64208782104391,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002571874223609012,
+      "loss": 4.7972,
+      "mean_token_accuracy": 0.20435070544481276,
+      "num_tokens": 12414834.0,
+      "step": 6810
+    },
+    {
+      "entropy": 5.294848012924194,
+      "epoch": 5.646230323115161,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00025686888718799136,
+      "loss": 4.7513,
+      "mean_token_accuracy": 0.20469613671302794,
+      "num_tokens": 12423485.0,
+      "step": 6815
+    },
+    {
+      "entropy": 5.368587017059326,
+      "epoch": 5.6503728251864125,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002565503885875173,
+      "loss": 4.7935,
+      "mean_token_accuracy": 0.20704300552606583,
+      "num_tokens": 12432149.0,
+      "step": 6820
+    },
+    {
+      "entropy": 5.2622401237487795,
+      "epoch": 5.654515327257664,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00025623192720192564,
+      "loss": 4.7433,
+      "mean_token_accuracy": 0.2119109019637108,
+      "num_tokens": 12441272.0,
+      "step": 6825
+    },
+    {
+      "entropy": 5.190871524810791,
+      "epoch": 5.658657829328915,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002559135036735877,
+      "loss": 4.7388,
+      "mean_token_accuracy": 0.20155471414327622,
+      "num_tokens": 12449318.0,
+      "step": 6830
+    },
+    {
+      "entropy": 5.168833065032959,
+      "epoch": 5.662800331400166,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00025559511864479864,
+      "loss": 4.6898,
+      "mean_token_accuracy": 0.21231105625629426,
+      "num_tokens": 12458473.0,
+      "step": 6835
+    },
+    {
+      "entropy": 5.313192129135132,
+      "epoch": 5.666942833471417,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002552767727577758,
+      "loss": 4.8113,
+      "mean_token_accuracy": 0.20445662438869477,
+      "num_tokens": 12467703.0,
+      "step": 6840
+    },
+    {
+      "entropy": 5.292496681213379,
+      "epoch": 5.671085335542668,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00025495846665465774,
+      "loss": 4.6938,
+      "mean_token_accuracy": 0.21795116513967513,
+      "num_tokens": 12476166.0,
+      "step": 6845
+    },
+    {
+      "entropy": 5.235640621185302,
+      "epoch": 5.675227837613919,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002546402009775024,
+      "loss": 4.7403,
+      "mean_token_accuracy": 0.20330073386430741,
+      "num_tokens": 12484880.0,
+      "step": 6850
+    },
+    {
+      "entropy": 5.31177544593811,
+      "epoch": 5.679370339685169,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00025432197636828663,
+      "loss": 4.8103,
+      "mean_token_accuracy": 0.20381423085927963,
+      "num_tokens": 12494208.0,
+      "step": 6855
+    },
+    {
+      "entropy": 5.334811210632324,
+      "epoch": 5.683512841756421,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002540037934689042,
+      "loss": 4.8024,
+      "mean_token_accuracy": 0.20098040848970414,
+      "num_tokens": 12503647.0,
+      "step": 6860
+    },
+    {
+      "entropy": 5.295432138442993,
+      "epoch": 5.687655343827672,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00025368565292116475,
+      "loss": 4.8225,
+      "mean_token_accuracy": 0.20177613645792009,
+      "num_tokens": 12512869.0,
+      "step": 6865
+    },
+    {
+      "entropy": 5.28051609992981,
+      "epoch": 5.691797845898923,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002533675553667927,
+      "loss": 4.8747,
+      "mean_token_accuracy": 0.19059171974658967,
+      "num_tokens": 12523222.0,
+      "step": 6870
+    },
+    {
+      "entropy": 5.24097170829773,
+      "epoch": 5.695940347970174,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00025304950144742523,
+      "loss": 4.7456,
+      "mean_token_accuracy": 0.20784133225679396,
+      "num_tokens": 12532343.0,
+      "step": 6875
+    },
+    {
+      "entropy": 5.255422782897949,
+      "epoch": 5.700082850041425,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002527314918046122,
+      "loss": 4.7467,
+      "mean_token_accuracy": 0.21441746652126312,
+      "num_tokens": 12541508.0,
+      "step": 6880
+    },
+    {
+      "entropy": 5.222242641448974,
+      "epoch": 5.704225352112676,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0002524135270798136,
+      "loss": 4.7731,
+      "mean_token_accuracy": 0.20265263617038726,
+      "num_tokens": 12550837.0,
+      "step": 6885
+    },
+    {
+      "entropy": 5.259101152420044,
+      "epoch": 5.708367854183927,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00025209560791439914,
+      "loss": 4.7223,
+      "mean_token_accuracy": 0.21348682641983033,
+      "num_tokens": 12559859.0,
+      "step": 6890
+    },
+    {
+      "entropy": 5.279586315155029,
+      "epoch": 5.712510356255178,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002517777349496465,
+      "loss": 4.8096,
+      "mean_token_accuracy": 0.20708946287631988,
+      "num_tokens": 12569137.0,
+      "step": 6895
+    },
+    {
+      "entropy": 5.332545948028565,
+      "epoch": 5.716652858326429,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002514599088267401,
+      "loss": 4.8391,
+      "mean_token_accuracy": 0.20370080918073655,
+      "num_tokens": 12578111.0,
+      "step": 6900
+    },
+    {
+      "entropy": 5.30065131187439,
+      "epoch": 5.72079536039768,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00025114213018677004,
+      "loss": 4.7826,
+      "mean_token_accuracy": 0.21398544907569886,
+      "num_tokens": 12587604.0,
+      "step": 6905
+    },
+    {
+      "entropy": 5.328654146194458,
+      "epoch": 5.7249378624689315,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002508243996707305,
+      "loss": 4.7982,
+      "mean_token_accuracy": 0.2033779114484787,
+      "num_tokens": 12596620.0,
+      "step": 6910
+    },
+    {
+      "entropy": 5.252767944335938,
+      "epoch": 5.729080364540183,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00025050671791951887,
+      "loss": 4.7682,
+      "mean_token_accuracy": 0.20568756759166718,
+      "num_tokens": 12605452.0,
+      "step": 6915
+    },
+    {
+      "entropy": 5.195128536224365,
+      "epoch": 5.733222866611433,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002501890855739337,
+      "loss": 4.6654,
+      "mean_token_accuracy": 0.22127037048339843,
+      "num_tokens": 12614009.0,
+      "step": 6920
+    },
+    {
+      "entropy": 5.287421989440918,
+      "epoch": 5.737365368682684,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00024987150327467414,
+      "loss": 4.8201,
+      "mean_token_accuracy": 0.2010796323418617,
+      "num_tokens": 12624135.0,
+      "step": 6925
+    },
+    {
+      "entropy": 5.221401596069336,
+      "epoch": 5.741507870753935,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024955397166233855,
+      "loss": 4.6474,
+      "mean_token_accuracy": 0.22327282428741455,
+      "num_tokens": 12632870.0,
+      "step": 6930
+    },
+    {
+      "entropy": 5.304728364944458,
+      "epoch": 5.745650372825186,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024923649137742276,
+      "loss": 4.8549,
+      "mean_token_accuracy": 0.1950896918773651,
+      "num_tokens": 12643606.0,
+      "step": 6935
+    },
+    {
+      "entropy": 5.385456705093384,
+      "epoch": 5.749792874896437,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0002489190630603194,
+      "loss": 4.8834,
+      "mean_token_accuracy": 0.20502226054668427,
+      "num_tokens": 12652926.0,
+      "step": 6940
+    },
+    {
+      "entropy": 5.331468009948731,
+      "epoch": 5.753935376967688,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002486016873513159,
+      "loss": 4.8219,
+      "mean_token_accuracy": 0.20297979861497878,
+      "num_tokens": 12661841.0,
+      "step": 6945
+    },
+    {
+      "entropy": 5.257536315917969,
+      "epoch": 5.7580778790389395,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002482843648905937,
+      "loss": 4.7409,
+      "mean_token_accuracy": 0.2069641500711441,
+      "num_tokens": 12670527.0,
+      "step": 6950
+    },
+    {
+      "entropy": 5.216205167770386,
+      "epoch": 5.762220381110191,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002479670963182271,
+      "loss": 4.7365,
+      "mean_token_accuracy": 0.19854751229286194,
+      "num_tokens": 12680346.0,
+      "step": 6955
+    },
+    {
+      "entropy": 5.315979433059693,
+      "epoch": 5.766362883181442,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00024764988227418114,
+      "loss": 4.8273,
+      "mean_token_accuracy": 0.20946504771709443,
+      "num_tokens": 12691088.0,
+      "step": 6960
+    },
+    {
+      "entropy": 5.343829536437989,
+      "epoch": 5.770505385252693,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002473327233983116,
+      "loss": 4.7894,
+      "mean_token_accuracy": 0.20746862143278122,
+      "num_tokens": 12700296.0,
+      "step": 6965
+    },
+    {
+      "entropy": 5.241484355926514,
+      "epoch": 5.774647887323944,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002470156203303622,
+      "loss": 4.7882,
+      "mean_token_accuracy": 0.20888512581586838,
+      "num_tokens": 12709595.0,
+      "step": 6970
+    },
+    {
+      "entropy": 5.276812028884888,
+      "epoch": 5.778790389395195,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0002466985737099649,
+      "loss": 4.838,
+      "mean_token_accuracy": 0.20352406352758406,
+      "num_tokens": 12719052.0,
+      "step": 6975
+    },
+    {
+      "entropy": 5.237840700149536,
+      "epoch": 5.782932891466446,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002463815841766371,
+      "loss": 4.7033,
+      "mean_token_accuracy": 0.21847177892923356,
+      "num_tokens": 12727287.0,
+      "step": 6980
+    },
+    {
+      "entropy": 5.252689790725708,
+      "epoch": 5.787075393537696,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002460646523697813,
+      "loss": 4.7649,
+      "mean_token_accuracy": 0.2055829644203186,
+      "num_tokens": 12736511.0,
+      "step": 6985
+    },
+    {
+      "entropy": 5.295902395248413,
+      "epoch": 5.7912178956089475,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00024574777892868386,
+      "loss": 4.7758,
+      "mean_token_accuracy": 0.20809024274349214,
+      "num_tokens": 12745597.0,
+      "step": 6990
+    },
+    {
+      "entropy": 5.260382986068725,
+      "epoch": 5.795360397680199,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00024543096449251286,
+      "loss": 4.6362,
+      "mean_token_accuracy": 0.221256822347641,
+      "num_tokens": 12753492.0,
+      "step": 6995
+    },
+    {
+      "entropy": 5.3082959175109865,
+      "epoch": 5.79950289975145,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002451142097003177,
+      "loss": 4.7765,
+      "mean_token_accuracy": 0.21173641979694366,
+      "num_tokens": 12761999.0,
+      "step": 7000
+    },
+    {
+      "epoch": 5.79950289975145,
+      "eval_entropy": 5.159527343473455,
+      "eval_loss": 5.7473931312561035,
+      "eval_mean_token_accuracy": 0.1656088415525361,
+      "eval_num_tokens": 12761999.0,
+      "eval_runtime": 2.7553,
+      "eval_samples_per_second": 1359.941,
+      "eval_steps_per_second": 170.219,
+      "step": 7000
+    },
+    {
+      "entropy": 5.250266122817993,
+      "epoch": 5.803645401822701,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002447975151910276,
+      "loss": 4.6884,
+      "mean_token_accuracy": 0.20662099421024321,
+      "num_tokens": 12770922.0,
+      "step": 7005
+    },
+    {
+      "entropy": 5.225958204269409,
+      "epoch": 5.807787903893952,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00024448088160344974,
+      "loss": 4.72,
+      "mean_token_accuracy": 0.2077726110816002,
+      "num_tokens": 12779539.0,
+      "step": 7010
+    },
+    {
+      "entropy": 5.266984176635742,
+      "epoch": 5.811930405965203,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002441643095762688,
+      "loss": 4.7539,
+      "mean_token_accuracy": 0.20866499096155167,
+      "num_tokens": 12788121.0,
+      "step": 7015
+    },
+    {
+      "entropy": 5.206212854385376,
+      "epoch": 5.816072908036454,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000243847799748045,
+      "loss": 4.6301,
+      "mean_token_accuracy": 0.21100328713655472,
+      "num_tokens": 12797390.0,
+      "step": 7020
+    },
+    {
+      "entropy": 5.249676036834717,
+      "epoch": 5.820215410107705,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00024353135275721356,
+      "loss": 4.8644,
+      "mean_token_accuracy": 0.19687919616699218,
+      "num_tokens": 12807876.0,
+      "step": 7025
+    },
+    {
+      "entropy": 5.184282016754151,
+      "epoch": 5.824357912178956,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00024321496924208235,
+      "loss": 4.6805,
+      "mean_token_accuracy": 0.2075910523533821,
+      "num_tokens": 12816496.0,
+      "step": 7030
+    },
+    {
+      "entropy": 5.282375478744507,
+      "epoch": 5.8285004142502075,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00024289864984083166,
+      "loss": 4.7571,
+      "mean_token_accuracy": 0.21421819925308228,
+      "num_tokens": 12825925.0,
+      "step": 7035
+    },
+    {
+      "entropy": 5.330373096466064,
+      "epoch": 5.832642916321458,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002425823951915122,
+      "loss": 4.776,
+      "mean_token_accuracy": 0.20406203866004943,
+      "num_tokens": 12835479.0,
+      "step": 7040
+    },
+    {
+      "entropy": 5.227119112014771,
+      "epoch": 5.836785418392709,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002422662059320442,
+      "loss": 4.6764,
+      "mean_token_accuracy": 0.2194245144724846,
+      "num_tokens": 12844024.0,
+      "step": 7045
+    },
+    {
+      "entropy": 5.242313861846924,
+      "epoch": 5.84092792046396,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00024195008270021595,
+      "loss": 4.6767,
+      "mean_token_accuracy": 0.21089302152395248,
+      "num_tokens": 12852673.0,
+      "step": 7050
+    },
+    {
+      "entropy": 5.168107366561889,
+      "epoch": 5.845070422535211,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00024163402613368252,
+      "loss": 4.7042,
+      "mean_token_accuracy": 0.21519682556390762,
+      "num_tokens": 12861191.0,
+      "step": 7055
+    },
+    {
+      "entropy": 5.273849678039551,
+      "epoch": 5.849212924606462,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00024131803686996457,
+      "loss": 4.8483,
+      "mean_token_accuracy": 0.20502860397100447,
+      "num_tokens": 12870874.0,
+      "step": 7060
+    },
+    {
+      "entropy": 5.314899635314942,
+      "epoch": 5.853355426677713,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00024100211554644696,
+      "loss": 4.7741,
+      "mean_token_accuracy": 0.21026002764701843,
+      "num_tokens": 12879896.0,
+      "step": 7065
+    },
+    {
+      "entropy": 5.297897291183472,
+      "epoch": 5.857497928748964,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00024068626280037753,
+      "loss": 4.786,
+      "mean_token_accuracy": 0.20807335823774337,
+      "num_tokens": 12888665.0,
+      "step": 7070
+    },
+    {
+      "entropy": 5.261636590957641,
+      "epoch": 5.8616404308202155,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00024037047926886578,
+      "loss": 4.7416,
+      "mean_token_accuracy": 0.20277187824249268,
+      "num_tokens": 12897477.0,
+      "step": 7075
+    },
+    {
+      "entropy": 5.251101160049439,
+      "epoch": 5.865782932891467,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024005476558888172,
+      "loss": 4.794,
+      "mean_token_accuracy": 0.2007831260561943,
+      "num_tokens": 12905934.0,
+      "step": 7080
+    },
+    {
+      "entropy": 5.255609798431396,
+      "epoch": 5.869925434962718,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002397391223972541,
+      "loss": 4.7929,
+      "mean_token_accuracy": 0.20374300181865693,
+      "num_tokens": 12915092.0,
+      "step": 7085
+    },
+    {
+      "entropy": 5.2630064487457275,
+      "epoch": 5.874067937033969,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00023942355033066993,
+      "loss": 4.8721,
+      "mean_token_accuracy": 0.19899580031633377,
+      "num_tokens": 12924775.0,
+      "step": 7090
+    },
+    {
+      "entropy": 5.329388093948364,
+      "epoch": 5.87821043910522,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00023910805002567244,
+      "loss": 4.7789,
+      "mean_token_accuracy": 0.2048063576221466,
+      "num_tokens": 12933677.0,
+      "step": 7095
+    },
+    {
+      "entropy": 5.261180973052978,
+      "epoch": 5.882352941176471,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002387926221186603,
+      "loss": 4.8017,
+      "mean_token_accuracy": 0.2079474300146103,
+      "num_tokens": 12942416.0,
+      "step": 7100
+    },
+    {
+      "entropy": 5.231311798095703,
+      "epoch": 5.886495443247721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00023847726724588608,
+      "loss": 4.7718,
+      "mean_token_accuracy": 0.21066755801439285,
+      "num_tokens": 12952284.0,
+      "step": 7105
+    },
+    {
+      "entropy": 5.278716087341309,
+      "epoch": 5.890637945318972,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002381619860434549,
+      "loss": 4.8123,
+      "mean_token_accuracy": 0.19911128133535386,
+      "num_tokens": 12960694.0,
+      "step": 7110
+    },
+    {
+      "entropy": 5.215971040725708,
+      "epoch": 5.894780447390223,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00023784677914732356,
+      "loss": 4.727,
+      "mean_token_accuracy": 0.20931341648101806,
+      "num_tokens": 12969138.0,
+      "step": 7115
+    },
+    {
+      "entropy": 5.292342042922973,
+      "epoch": 5.8989229494614746,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00023753164719329868,
+      "loss": 4.766,
+      "mean_token_accuracy": 0.20421497970819474,
+      "num_tokens": 12978518.0,
+      "step": 7120
+    },
+    {
+      "entropy": 5.309631299972534,
+      "epoch": 5.903065451532726,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00023721659081703595,
+      "loss": 4.7856,
+      "mean_token_accuracy": 0.2164353221654892,
+      "num_tokens": 12987506.0,
+      "step": 7125
+    },
+    {
+      "entropy": 5.2704308986663815,
+      "epoch": 5.907207953603977,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023690161065403838,
+      "loss": 4.7667,
+      "mean_token_accuracy": 0.20384967178106309,
+      "num_tokens": 12996259.0,
+      "step": 7130
+    },
+    {
+      "entropy": 5.284243488311768,
+      "epoch": 5.911350455675228,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002365867073396555,
+      "loss": 4.7914,
+      "mean_token_accuracy": 0.20621232688426971,
+      "num_tokens": 13005430.0,
+      "step": 7135
+    },
+    {
+      "entropy": 5.2192955493927,
+      "epoch": 5.915492957746479,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023627188150908174,
+      "loss": 4.7414,
+      "mean_token_accuracy": 0.21523537784814833,
+      "num_tokens": 13014915.0,
+      "step": 7140
+    },
+    {
+      "entropy": 5.267714023590088,
+      "epoch": 5.91963545981773,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00023595713379735494,
+      "loss": 4.7483,
+      "mean_token_accuracy": 0.20747244358062744,
+      "num_tokens": 13023471.0,
+      "step": 7145
+    },
+    {
+      "entropy": 5.29262957572937,
+      "epoch": 5.923777961888981,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00023564246483935602,
+      "loss": 4.7364,
+      "mean_token_accuracy": 0.20276205390691757,
+      "num_tokens": 13033270.0,
+      "step": 7150
+    },
+    {
+      "entropy": 5.26424388885498,
+      "epoch": 5.927920463960232,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002353278752698063,
+      "loss": 4.7029,
+      "mean_token_accuracy": 0.2120548114180565,
+      "num_tokens": 13043300.0,
+      "step": 7155
+    },
+    {
+      "entropy": 5.261445045471191,
+      "epoch": 5.9320629660314825,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002350133657232676,
+      "loss": 4.7627,
+      "mean_token_accuracy": 0.20174376368522645,
+      "num_tokens": 13052152.0,
+      "step": 7160
+    },
+    {
+      "entropy": 5.286171960830688,
+      "epoch": 5.9362054681027345,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002346989368341399,
+      "loss": 4.8033,
+      "mean_token_accuracy": 0.20869386494159697,
+      "num_tokens": 13061704.0,
+      "step": 7165
+    },
+    {
+      "entropy": 5.280704736709595,
+      "epoch": 5.940347970173985,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023438458923666057,
+      "loss": 4.7209,
+      "mean_token_accuracy": 0.2152332365512848,
+      "num_tokens": 13071055.0,
+      "step": 7170
+    },
+    {
+      "entropy": 5.268754768371582,
+      "epoch": 5.944490472245236,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002340703235649032,
+      "loss": 4.8331,
+      "mean_token_accuracy": 0.1926100879907608,
+      "num_tokens": 13080023.0,
+      "step": 7175
+    },
+    {
+      "entropy": 5.263068819046021,
+      "epoch": 5.948632974316487,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00023375614045277593,
+      "loss": 4.7536,
+      "mean_token_accuracy": 0.20691772699356079,
+      "num_tokens": 13088690.0,
+      "step": 7180
+    },
+    {
+      "entropy": 5.232177972793579,
+      "epoch": 5.952775476387738,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00023344204053402047,
+      "loss": 4.7377,
+      "mean_token_accuracy": 0.21229761391878127,
+      "num_tokens": 13097116.0,
+      "step": 7185
+    },
+    {
+      "entropy": 5.343814706802368,
+      "epoch": 5.956917978458989,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00023312802444221066,
+      "loss": 4.7995,
+      "mean_token_accuracy": 0.20769918113946914,
+      "num_tokens": 13106463.0,
+      "step": 7190
+    },
+    {
+      "entropy": 5.273978662490845,
+      "epoch": 5.96106048053024,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002328140928107511,
+      "loss": 4.7045,
+      "mean_token_accuracy": 0.21413260698318481,
+      "num_tokens": 13115769.0,
+      "step": 7195
+    },
+    {
+      "entropy": 5.293670988082885,
+      "epoch": 5.965202982601491,
+      "grad_norm": 1.6875,
+      "learning_rate": 0.0002325002462728766,
+      "loss": 4.8058,
+      "mean_token_accuracy": 0.20858496129512788,
+      "num_tokens": 13124928.0,
+      "step": 7200
+    },
+    {
+      "entropy": 5.264481544494629,
+      "epoch": 5.9693454846727425,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00023218648546164945,
+      "loss": 4.7587,
+      "mean_token_accuracy": 0.20816877782344817,
+      "num_tokens": 13134106.0,
+      "step": 7205
+    },
+    {
+      "entropy": 5.401337671279907,
+      "epoch": 5.973487986743994,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002318728110099599,
+      "loss": 4.9463,
+      "mean_token_accuracy": 0.19887659698724747,
+      "num_tokens": 13143019.0,
+      "step": 7210
+    },
+    {
+      "entropy": 5.267350912094116,
+      "epoch": 5.977630488815245,
+      "grad_norm": 1.625,
+      "learning_rate": 0.00023155922355052339,
+      "loss": 4.6633,
+      "mean_token_accuracy": 0.223431359231472,
+      "num_tokens": 13152675.0,
+      "step": 7215
+    },
+    {
+      "entropy": 5.256755113601685,
+      "epoch": 5.981772990886496,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00023124572371588,
+      "loss": 4.6968,
+      "mean_token_accuracy": 0.2141074687242508,
+      "num_tokens": 13161094.0,
+      "step": 7220
+    },
+    {
+      "entropy": 5.22665810585022,
+      "epoch": 5.985915492957746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00023093231213839344,
+      "loss": 4.7801,
+      "mean_token_accuracy": 0.2072029694914818,
+      "num_tokens": 13170858.0,
+      "step": 7225
+    },
+    {
+      "entropy": 5.248539400100708,
+      "epoch": 5.990057995028997,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002306189894502488,
+      "loss": 4.8402,
+      "mean_token_accuracy": 0.1976972222328186,
+      "num_tokens": 13179668.0,
+      "step": 7230
+    },
+    {
+      "entropy": 5.278863763809204,
+      "epoch": 5.994200497100248,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00023030575628345246,
+      "loss": 4.7021,
+      "mean_token_accuracy": 0.2132765233516693,
+      "num_tokens": 13188312.0,
+      "step": 7235
+    },
+    {
+      "entropy": 5.254744529724121,
+      "epoch": 5.998342999171499,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022999261326982985,
+      "loss": 4.7474,
+      "mean_token_accuracy": 0.20551027208566666,
+      "num_tokens": 13196989.0,
+      "step": 7240
+    },
+    {
+      "entropy": 5.215828323364258,
+      "epoch": 6.0024855012427505,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00022967956104102445,
+      "loss": 4.6371,
+      "mean_token_accuracy": 0.21983437091112137,
+      "num_tokens": 13205830.0,
+      "step": 7245
+    },
+    {
+      "entropy": 5.325025272369385,
+      "epoch": 6.006628003314002,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00022936660022849714,
+      "loss": 4.5948,
+      "mean_token_accuracy": 0.22821232080459594,
+      "num_tokens": 13214711.0,
+      "step": 7250
+    },
+    {
+      "entropy": 5.262428140640258,
+      "epoch": 6.010770505385253,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022905373146352382,
+      "loss": 4.6602,
+      "mean_token_accuracy": 0.21241429150104524,
+      "num_tokens": 13223736.0,
+      "step": 7255
+    },
+    {
+      "entropy": 5.257147979736328,
+      "epoch": 6.014913007456504,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002287409553771952,
+      "loss": 4.556,
+      "mean_token_accuracy": 0.22737590819597245,
+      "num_tokens": 13232666.0,
+      "step": 7260
+    },
+    {
+      "entropy": 5.291457891464233,
+      "epoch": 6.019055509527755,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00022842827260041455,
+      "loss": 4.5848,
+      "mean_token_accuracy": 0.21761821508407592,
+      "num_tokens": 13241770.0,
+      "step": 7265
+    },
+    {
+      "entropy": 5.261249971389771,
+      "epoch": 6.023198011599006,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00022811568376389745,
+      "loss": 4.5326,
+      "mean_token_accuracy": 0.22425681203603745,
+      "num_tokens": 13250475.0,
+      "step": 7270
+    },
+    {
+      "entropy": 5.233007001876831,
+      "epoch": 6.027340513670257,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00022780318949816963,
+      "loss": 4.5183,
+      "mean_token_accuracy": 0.22254440933465958,
+      "num_tokens": 13259587.0,
+      "step": 7275
+    },
+    {
+      "entropy": 5.216541528701782,
+      "epoch": 6.031483015741508,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00022749079043356623,
+      "loss": 4.5404,
+      "mean_token_accuracy": 0.23734405487775803,
+      "num_tokens": 13269681.0,
+      "step": 7280
+    },
+    {
+      "entropy": 5.211581516265869,
+      "epoch": 6.0356255178127585,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00022717848720023022,
+      "loss": 4.5539,
+      "mean_token_accuracy": 0.2277751386165619,
+      "num_tokens": 13278186.0,
+      "step": 7285
+    },
+    {
+      "entropy": 5.25051851272583,
+      "epoch": 6.03976801988401,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022686628042811142,
+      "loss": 4.6462,
+      "mean_token_accuracy": 0.21404165476560594,
+      "num_tokens": 13287194.0,
+      "step": 7290
+    },
+    {
+      "entropy": 5.334251356124878,
+      "epoch": 6.043910521955261,
+      "grad_norm": 1.375,
+      "learning_rate": 0.000226554170746965,
+      "loss": 4.6707,
+      "mean_token_accuracy": 0.21294027268886567,
+      "num_tokens": 13296774.0,
+      "step": 7295
+    },
+    {
+      "entropy": 5.338882112503052,
+      "epoch": 6.048053024026512,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00022624215878635023,
+      "loss": 4.5887,
+      "mean_token_accuracy": 0.21931985318660735,
+      "num_tokens": 13306368.0,
+      "step": 7300
+    },
+    {
+      "entropy": 5.310757160186768,
+      "epoch": 6.052195526097763,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00022593024517562945,
+      "loss": 4.5551,
+      "mean_token_accuracy": 0.22974174320697785,
+      "num_tokens": 13315393.0,
+      "step": 7305
+    },
+    {
+      "entropy": 5.216650152206421,
+      "epoch": 6.056338028169014,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022561843054396636,
+      "loss": 4.5496,
+      "mean_token_accuracy": 0.22554152607917785,
+      "num_tokens": 13324384.0,
+      "step": 7310
+    },
+    {
+      "entropy": 5.265720653533935,
+      "epoch": 6.060480530240265,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00022530671552032521,
+      "loss": 4.6095,
+      "mean_token_accuracy": 0.2231447860598564,
+      "num_tokens": 13333191.0,
+      "step": 7315
+    },
+    {
+      "entropy": 5.269006586074829,
+      "epoch": 6.064623032311516,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002249951007334693,
+      "loss": 4.6016,
+      "mean_token_accuracy": 0.21682012677192689,
+      "num_tokens": 13342911.0,
+      "step": 7320
+    },
+    {
+      "entropy": 5.313802003860474,
+      "epoch": 6.068765534382767,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00022468358681195966,
+      "loss": 4.5911,
+      "mean_token_accuracy": 0.2220294862985611,
+      "num_tokens": 13352464.0,
+      "step": 7325
+    },
+    {
+      "entropy": 5.279155349731445,
+      "epoch": 6.072908036454018,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00022437217438415393,
+      "loss": 4.5871,
+      "mean_token_accuracy": 0.22435862571001053,
+      "num_tokens": 13361812.0,
+      "step": 7330
+    },
+    {
+      "entropy": 5.328032398223877,
+      "epoch": 6.0770505385252696,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00022406086407820503,
+      "loss": 4.6541,
+      "mean_token_accuracy": 0.21680645495653153,
+      "num_tokens": 13372080.0,
+      "step": 7335
+    },
+    {
+      "entropy": 5.283897733688354,
+      "epoch": 6.081193040596521,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022374965652205975,
+      "loss": 4.6976,
+      "mean_token_accuracy": 0.20982298403978347,
+      "num_tokens": 13380897.0,
+      "step": 7340
+    },
+    {
+      "entropy": 5.338993167877197,
+      "epoch": 6.085335542667772,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022343855234345796,
+      "loss": 4.6891,
+      "mean_token_accuracy": 0.21388355493545533,
+      "num_tokens": 13389885.0,
+      "step": 7345
+    },
+    {
+      "entropy": 5.288727903366089,
+      "epoch": 6.089478044739022,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00022312755216993065,
+      "loss": 4.6211,
+      "mean_token_accuracy": 0.21839348524808883,
+      "num_tokens": 13399734.0,
+      "step": 7350
+    },
+    {
+      "entropy": 5.224732303619385,
+      "epoch": 6.093620546810273,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00022281665662879903,
+      "loss": 4.5653,
+      "mean_token_accuracy": 0.22080505937337874,
+      "num_tokens": 13408641.0,
+      "step": 7355
+    },
+    {
+      "entropy": 5.2608020305633545,
+      "epoch": 6.097763048881524,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00022250586634717362,
+      "loss": 4.6026,
+      "mean_token_accuracy": 0.21388103663921357,
+      "num_tokens": 13418585.0,
+      "step": 7360
+    },
+    {
+      "entropy": 5.244136095046997,
+      "epoch": 6.101905550952775,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00022219518195195216,
+      "loss": 4.5367,
+      "mean_token_accuracy": 0.22432616204023362,
+      "num_tokens": 13427897.0,
+      "step": 7365
+    },
+    {
+      "entropy": 5.131761312484741,
+      "epoch": 6.106048053024026,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00022188460406981925,
+      "loss": 4.4993,
+      "mean_token_accuracy": 0.22558098286390305,
+      "num_tokens": 13437311.0,
+      "step": 7370
+    },
+    {
+      "entropy": 5.284880685806274,
+      "epoch": 6.1101905550952775,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00022157413332724436,
+      "loss": 4.5608,
+      "mean_token_accuracy": 0.22710221409797668,
+      "num_tokens": 13446359.0,
+      "step": 7375
+    },
+    {
+      "entropy": 5.326997709274292,
+      "epoch": 6.114333057166529,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00022126377035048072,
+      "loss": 4.6056,
+      "mean_token_accuracy": 0.22011455297470092,
+      "num_tokens": 13455302.0,
+      "step": 7380
+    },
+    {
+      "entropy": 5.365768575668335,
+      "epoch": 6.11847555923778,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0002209535157655646,
+      "loss": 4.6937,
+      "mean_token_accuracy": 0.21688085198402404,
+      "num_tokens": 13466391.0,
+      "step": 7385
+    },
+    {
+      "entropy": 5.246037006378174,
+      "epoch": 6.122618061309031,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00022064337019831322,
+      "loss": 4.547,
+      "mean_token_accuracy": 0.22545033246278762,
+      "num_tokens": 13476130.0,
+      "step": 7390
+    },
+    {
+      "entropy": 5.183640670776367,
+      "epoch": 6.126760563380282,
+      "grad_norm": 1.6171875,
+      "learning_rate": 0.00022033333427432422,
+      "loss": 4.5326,
+      "mean_token_accuracy": 0.22769198417663575,
+      "num_tokens": 13485105.0,
+      "step": 7395
+    },
+    {
+      "entropy": 5.284799098968506,
+      "epoch": 6.130903065451533,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002200234086189738,
+      "loss": 4.5988,
+      "mean_token_accuracy": 0.21623703986406326,
+      "num_tokens": 13494914.0,
+      "step": 7400
+    },
+    {
+      "entropy": 5.291166830062866,
+      "epoch": 6.135045567522784,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00021971359385741608,
+      "loss": 4.6312,
+      "mean_token_accuracy": 0.21725507229566574,
+      "num_tokens": 13504293.0,
+      "step": 7405
+    },
+    {
+      "entropy": 5.350364637374878,
+      "epoch": 6.139188069594034,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00021940389061458115,
+      "loss": 4.6935,
+      "mean_token_accuracy": 0.22431259900331496,
+      "num_tokens": 13513972.0,
+      "step": 7410
+    },
+    {
+      "entropy": 5.278038835525512,
+      "epoch": 6.1433305716652855,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002190942995151743,
+      "loss": 4.6089,
+      "mean_token_accuracy": 0.2185722753405571,
+      "num_tokens": 13522508.0,
+      "step": 7415
+    },
+    {
+      "entropy": 5.296834516525268,
+      "epoch": 6.147473073736537,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0002187848211836746,
+      "loss": 4.53,
+      "mean_token_accuracy": 0.22915603816509247,
+      "num_tokens": 13531235.0,
+      "step": 7420
+    },
+    {
+      "entropy": 5.256722116470337,
+      "epoch": 6.151615575807788,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002184754562443337,
+      "loss": 4.5707,
+      "mean_token_accuracy": 0.22529171109199525,
+      "num_tokens": 13541023.0,
+      "step": 7425
+    },
+    {
+      "entropy": 5.217341756820678,
+      "epoch": 6.155758077879039,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00021816620532117448,
+      "loss": 4.5852,
+      "mean_token_accuracy": 0.2248647004365921,
+      "num_tokens": 13550622.0,
+      "step": 7430
+    },
+    {
+      "entropy": 5.230591440200806,
+      "epoch": 6.15990057995029,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002178570690379899,
+      "loss": 4.6031,
+      "mean_token_accuracy": 0.21641309708356857,
+      "num_tokens": 13559423.0,
+      "step": 7435
+    },
+    {
+      "entropy": 5.235513544082641,
+      "epoch": 6.164043082021541,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00021754804801834144,
+      "loss": 4.5917,
+      "mean_token_accuracy": 0.21699417978525162,
+      "num_tokens": 13569306.0,
+      "step": 7440
+    },
+    {
+      "entropy": 5.228752660751343,
+      "epoch": 6.168185584092792,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0002172391428855585,
+      "loss": 4.5366,
+      "mean_token_accuracy": 0.22735673934221268,
+      "num_tokens": 13578367.0,
+      "step": 7445
+    },
+    {
+      "entropy": 5.265543508529663,
+      "epoch": 6.172328086164043,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00021693035426273633,
+      "loss": 4.5986,
+      "mean_token_accuracy": 0.21967096477746964,
+      "num_tokens": 13586930.0,
+      "step": 7450
+    },
+    {
+      "entropy": 5.246473407745361,
+      "epoch": 6.176470588235294,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.00021662168277273547,
+      "loss": 4.5681,
+      "mean_token_accuracy": 0.22939085811376572,
+      "num_tokens": 13595891.0,
+      "step": 7455
+    },
+    {
+      "entropy": 5.319870328903198,
+      "epoch": 6.1806130903065455,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002163131290381799,
+      "loss": 4.6599,
+      "mean_token_accuracy": 0.20967274755239487,
+      "num_tokens": 13605786.0,
+      "step": 7460
+    },
+    {
+      "entropy": 5.238808870315552,
+      "epoch": 6.184755592377797,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00021600469368145624,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.2280669927597046,
+      "num_tokens": 13614561.0,
+      "step": 7465
+    },
+    {
+      "entropy": 5.226732301712036,
+      "epoch": 6.188898094449047,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002156963773247124,
+      "loss": 4.5554,
+      "mean_token_accuracy": 0.22617974877357483,
+      "num_tokens": 13622853.0,
+      "step": 7470
+    },
+    {
+      "entropy": 5.20526967048645,
+      "epoch": 6.193040596520298,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002153881805898561,
+      "loss": 4.5398,
+      "mean_token_accuracy": 0.22647101283073426,
+      "num_tokens": 13631709.0,
+      "step": 7475
+    },
+    {
+      "entropy": 5.293169021606445,
+      "epoch": 6.197183098591549,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.0002150801040985539,
+      "loss": 4.63,
+      "mean_token_accuracy": 0.21966254264116286,
+      "num_tokens": 13640854.0,
+      "step": 7480
+    },
+    {
+      "entropy": 5.218788433074951,
+      "epoch": 6.2013256006628,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00021477214847222958,
+      "loss": 4.5758,
+      "mean_token_accuracy": 0.21710532903671265,
+      "num_tokens": 13649318.0,
+      "step": 7485
+    },
+    {
+      "entropy": 5.315838146209717,
+      "epoch": 6.205468102734051,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00021446431433206348,
+      "loss": 4.6349,
+      "mean_token_accuracy": 0.22002605497837066,
+      "num_tokens": 13658738.0,
+      "step": 7490
+    },
+    {
+      "entropy": 5.187892484664917,
+      "epoch": 6.209610604805302,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002141566022989907,
+      "loss": 4.5484,
+      "mean_token_accuracy": 0.2262681856751442,
+      "num_tokens": 13667315.0,
+      "step": 7495
+    },
+    {
+      "entropy": 5.282585573196411,
+      "epoch": 6.2137531068765535,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002138490129936998,
+      "loss": 4.6721,
+      "mean_token_accuracy": 0.21348128467798233,
+      "num_tokens": 13676665.0,
+      "step": 7500
+    },
+    {
+      "epoch": 6.2137531068765535,
+      "eval_entropy": 5.127327098521088,
+      "eval_loss": 5.749592304229736,
+      "eval_mean_token_accuracy": 0.16626126474853772,
+      "eval_num_tokens": 13676665.0,
+      "eval_runtime": 2.7442,
+      "eval_samples_per_second": 1365.431,
+      "eval_steps_per_second": 170.907,
+      "step": 7500
+    },
+    {
+      "entropy": 5.220932197570801,
+      "epoch": 6.217895608947805,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0002135415470366323,
+      "loss": 4.6065,
+      "mean_token_accuracy": 0.21874047368764876,
+      "num_tokens": 13685774.0,
+      "step": 7505
+    },
+    {
+      "entropy": 5.261872863769531,
+      "epoch": 6.222038111019056,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00021323420504798047,
+      "loss": 4.6324,
+      "mean_token_accuracy": 0.21970156878232955,
+      "num_tokens": 13695700.0,
+      "step": 7510
+    },
+    {
+      "entropy": 5.301397752761841,
+      "epoch": 6.226180613090307,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021292698764768675,
+      "loss": 4.6432,
+      "mean_token_accuracy": 0.21851994693279267,
+      "num_tokens": 13704675.0,
+      "step": 7515
+    },
+    {
+      "entropy": 5.2542356014251705,
+      "epoch": 6.230323115161558,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00021261989545544218,
+      "loss": 4.6623,
+      "mean_token_accuracy": 0.22553315609693528,
+      "num_tokens": 13714562.0,
+      "step": 7520
+    },
+    {
+      "entropy": 5.318307209014892,
+      "epoch": 6.234465617232809,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00021231292909068534,
+      "loss": 4.6448,
+      "mean_token_accuracy": 0.22140212655067443,
+      "num_tokens": 13723917.0,
+      "step": 7525
+    },
+    {
+      "entropy": 5.254926586151123,
+      "epoch": 6.238608119304059,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00021200608917260082,
+      "loss": 4.5832,
+      "mean_token_accuracy": 0.22523251920938492,
+      "num_tokens": 13732482.0,
+      "step": 7530
+    },
+    {
+      "entropy": 5.272995328903198,
+      "epoch": 6.24275062137531,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00021169937632011838,
+      "loss": 4.6548,
+      "mean_token_accuracy": 0.2194363296031952,
+      "num_tokens": 13742110.0,
+      "step": 7535
+    },
+    {
+      "entropy": 5.238206005096435,
+      "epoch": 6.2468931234465614,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00021139279115191123,
+      "loss": 4.574,
+      "mean_token_accuracy": 0.21389349400997162,
+      "num_tokens": 13750501.0,
+      "step": 7540
+    },
+    {
+      "entropy": 5.236702632904053,
+      "epoch": 6.2510356255178126,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00021108633428639534,
+      "loss": 4.545,
+      "mean_token_accuracy": 0.22685909420251846,
+      "num_tokens": 13759786.0,
+      "step": 7545
+    },
+    {
+      "entropy": 5.279770469665527,
+      "epoch": 6.255178127589064,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002107800063417275,
+      "loss": 4.6241,
+      "mean_token_accuracy": 0.21795655339956282,
+      "num_tokens": 13768476.0,
+      "step": 7550
+    },
+    {
+      "entropy": 5.29005618095398,
+      "epoch": 6.259320629660315,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002104738079358048,
+      "loss": 4.6586,
+      "mean_token_accuracy": 0.20849181562662125,
+      "num_tokens": 13778721.0,
+      "step": 7555
+    },
+    {
+      "entropy": 5.281201648712158,
+      "epoch": 6.263463131731566,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002101677396862628,
+      "loss": 4.6196,
+      "mean_token_accuracy": 0.22399465888738632,
+      "num_tokens": 13787108.0,
+      "step": 7560
+    },
+    {
+      "entropy": 5.1881067752838135,
+      "epoch": 6.267605633802817,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00020986180221047463,
+      "loss": 4.5398,
+      "mean_token_accuracy": 0.23230253010988236,
+      "num_tokens": 13795021.0,
+      "step": 7565
+    },
+    {
+      "entropy": 5.190041732788086,
+      "epoch": 6.271748135874068,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00020955599612554966,
+      "loss": 4.5887,
+      "mean_token_accuracy": 0.2193624496459961,
+      "num_tokens": 13804750.0,
+      "step": 7570
+    },
+    {
+      "entropy": 5.2463373184204105,
+      "epoch": 6.275890637945319,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00020925032204833206,
+      "loss": 4.5784,
+      "mean_token_accuracy": 0.22109659761190414,
+      "num_tokens": 13813910.0,
+      "step": 7575
+    },
+    {
+      "entropy": 5.329188394546509,
+      "epoch": 6.28003314001657,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00020894478059539995,
+      "loss": 4.5427,
+      "mean_token_accuracy": 0.2241484045982361,
+      "num_tokens": 13822832.0,
+      "step": 7580
+    },
+    {
+      "entropy": 5.204854440689087,
+      "epoch": 6.284175642087821,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00020863937238306375,
+      "loss": 4.5541,
+      "mean_token_accuracy": 0.2280479699373245,
+      "num_tokens": 13831951.0,
+      "step": 7585
+    },
+    {
+      "entropy": 5.172011041641236,
+      "epoch": 6.2883181441590725,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00020833409802736535,
+      "loss": 4.524,
+      "mean_token_accuracy": 0.23316972702741623,
+      "num_tokens": 13840422.0,
+      "step": 7590
+    },
+    {
+      "entropy": 5.306167030334473,
+      "epoch": 6.292460646230323,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00020802895814407636,
+      "loss": 4.6365,
+      "mean_token_accuracy": 0.22030848115682602,
+      "num_tokens": 13850903.0,
+      "step": 7595
+    },
+    {
+      "entropy": 5.244341468811035,
+      "epoch": 6.296603148301574,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002077239533486972,
+      "loss": 4.6811,
+      "mean_token_accuracy": 0.20490736216306688,
+      "num_tokens": 13859972.0,
+      "step": 7600
+    },
+    {
+      "entropy": 5.235301160812378,
+      "epoch": 6.300745650372825,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00020741908425645606,
+      "loss": 4.658,
+      "mean_token_accuracy": 0.21515794545412065,
+      "num_tokens": 13868980.0,
+      "step": 7605
+    },
+    {
+      "entropy": 5.259301996231079,
+      "epoch": 6.304888152444076,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00020711435148230707,
+      "loss": 4.5874,
+      "mean_token_accuracy": 0.21832506507635116,
+      "num_tokens": 13877901.0,
+      "step": 7610
+    },
+    {
+      "entropy": 5.245576858520508,
+      "epoch": 6.309030654515327,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00020680975564092968,
+      "loss": 4.5697,
+      "mean_token_accuracy": 0.21962837278842925,
+      "num_tokens": 13887081.0,
+      "step": 7615
+    },
+    {
+      "entropy": 5.283494472503662,
+      "epoch": 6.313173156586578,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00020650529734672686,
+      "loss": 4.693,
+      "mean_token_accuracy": 0.21509333699941635,
+      "num_tokens": 13896645.0,
+      "step": 7620
+    },
+    {
+      "entropy": 5.340816831588745,
+      "epoch": 6.317315658657829,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00020620097721382424,
+      "loss": 4.6349,
+      "mean_token_accuracy": 0.21796356588602067,
+      "num_tokens": 13905975.0,
+      "step": 7625
+    },
+    {
+      "entropy": 5.3276678085327145,
+      "epoch": 6.3214581607290805,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0002058967958560689,
+      "loss": 4.6067,
+      "mean_token_accuracy": 0.22121513932943343,
+      "num_tokens": 13914605.0,
+      "step": 7630
+    },
+    {
+      "entropy": 5.256007862091065,
+      "epoch": 6.325600662800332,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00020559275388702775,
+      "loss": 4.5442,
+      "mean_token_accuracy": 0.23139581084251404,
+      "num_tokens": 13924592.0,
+      "step": 7635
+    },
+    {
+      "entropy": 5.187183284759522,
+      "epoch": 6.329743164871583,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00020528885191998682,
+      "loss": 4.5649,
+      "mean_token_accuracy": 0.22332944571971894,
+      "num_tokens": 13933513.0,
+      "step": 7640
+    },
+    {
+      "entropy": 5.1399694919586185,
+      "epoch": 6.333885666942834,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00020498509056794952,
+      "loss": 4.4652,
+      "mean_token_accuracy": 0.23895961940288543,
+      "num_tokens": 13942173.0,
+      "step": 7645
+    },
+    {
+      "entropy": 5.177120351791382,
+      "epoch": 6.338028169014084,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00020468147044363556,
+      "loss": 4.4955,
+      "mean_token_accuracy": 0.22771447747945786,
+      "num_tokens": 13950205.0,
+      "step": 7650
+    },
+    {
+      "entropy": 5.22398190498352,
+      "epoch": 6.342170671085335,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00020437799215948017,
+      "loss": 4.5753,
+      "mean_token_accuracy": 0.22749822586774826,
+      "num_tokens": 13958956.0,
+      "step": 7655
+    },
+    {
+      "entropy": 5.209628582000732,
+      "epoch": 6.346313173156586,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002040746563276319,
+      "loss": 4.5665,
+      "mean_token_accuracy": 0.22033885568380357,
+      "num_tokens": 13967718.0,
+      "step": 7660
+    },
+    {
+      "entropy": 5.235432434082031,
+      "epoch": 6.350455675227837,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00020377146355995257,
+      "loss": 4.6617,
+      "mean_token_accuracy": 0.21480744183063508,
+      "num_tokens": 13976841.0,
+      "step": 7665
+    },
+    {
+      "entropy": 5.287872982025147,
+      "epoch": 6.3545981772990885,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00020346841446801495,
+      "loss": 4.5404,
+      "mean_token_accuracy": 0.22639259397983552,
+      "num_tokens": 13984946.0,
+      "step": 7670
+    },
+    {
+      "entropy": 5.257662773132324,
+      "epoch": 6.35874067937034,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00020316550966310222,
+      "loss": 4.6067,
+      "mean_token_accuracy": 0.21685410737991334,
+      "num_tokens": 13993521.0,
+      "step": 7675
+    },
+    {
+      "entropy": 5.183994293212891,
+      "epoch": 6.362883181441591,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002028627497562065,
+      "loss": 4.5771,
+      "mean_token_accuracy": 0.2181665539741516,
+      "num_tokens": 14002777.0,
+      "step": 7680
+    },
+    {
+      "entropy": 5.246474266052246,
+      "epoch": 6.367025683512842,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00020256013535802748,
+      "loss": 4.6261,
+      "mean_token_accuracy": 0.21209287494421006,
+      "num_tokens": 14012708.0,
+      "step": 7685
+    },
+    {
+      "entropy": 5.28727445602417,
+      "epoch": 6.371168185584093,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002022576670789717,
+      "loss": 4.6394,
+      "mean_token_accuracy": 0.2155505269765854,
+      "num_tokens": 14021088.0,
+      "step": 7690
+    },
+    {
+      "entropy": 5.280440044403076,
+      "epoch": 6.375310687655344,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002019553455291505,
+      "loss": 4.6378,
+      "mean_token_accuracy": 0.21615593284368514,
+      "num_tokens": 14031650.0,
+      "step": 7695
+    },
+    {
+      "entropy": 5.240458631515503,
+      "epoch": 6.379453189726595,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002016531713183797,
+      "loss": 4.6676,
+      "mean_token_accuracy": 0.21988083124160768,
+      "num_tokens": 14040741.0,
+      "step": 7700
+    },
+    {
+      "entropy": 5.242792797088623,
+      "epoch": 6.383595691797846,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00020135114505617752,
+      "loss": 4.6373,
+      "mean_token_accuracy": 0.2093031659722328,
+      "num_tokens": 14049913.0,
+      "step": 7705
+    },
+    {
+      "entropy": 5.277075576782226,
+      "epoch": 6.387738193869097,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00020104926735176393,
+      "loss": 4.5918,
+      "mean_token_accuracy": 0.22735825777053834,
+      "num_tokens": 14059583.0,
+      "step": 7710
+    },
+    {
+      "entropy": 5.327569150924683,
+      "epoch": 6.391880695940348,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00020074753881405949,
+      "loss": 4.5526,
+      "mean_token_accuracy": 0.22584011256694794,
+      "num_tokens": 14067376.0,
+      "step": 7715
+    },
+    {
+      "entropy": 5.247530269622803,
+      "epoch": 6.396023198011599,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002004459600516833,
+      "loss": 4.6272,
+      "mean_token_accuracy": 0.22265007048845292,
+      "num_tokens": 14076415.0,
+      "step": 7720
+    },
+    {
+      "entropy": 5.252097845077515,
+      "epoch": 6.40016570008285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00020014453167295298,
+      "loss": 4.6191,
+      "mean_token_accuracy": 0.21771289706230162,
+      "num_tokens": 14085418.0,
+      "step": 7725
+    },
+    {
+      "entropy": 5.246077394485473,
+      "epoch": 6.404308202154101,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00019984325428588229,
+      "loss": 4.6022,
+      "mean_token_accuracy": 0.22459561228752137,
+      "num_tokens": 14094454.0,
+      "step": 7730
+    },
+    {
+      "entropy": 5.269437408447265,
+      "epoch": 6.408450704225352,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00019954212849818077,
+      "loss": 4.5397,
+      "mean_token_accuracy": 0.23432922810316087,
+      "num_tokens": 14103611.0,
+      "step": 7735
+    },
+    {
+      "entropy": 5.17622013092041,
+      "epoch": 6.412593206296603,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00019924115491725197,
+      "loss": 4.4661,
+      "mean_token_accuracy": 0.23387826085090638,
+      "num_tokens": 14112145.0,
+      "step": 7740
+    },
+    {
+      "entropy": 5.237372732162475,
+      "epoch": 6.416735708367854,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019894033415019253,
+      "loss": 4.6056,
+      "mean_token_accuracy": 0.2221802607178688,
+      "num_tokens": 14121215.0,
+      "step": 7745
+    },
+    {
+      "entropy": 5.171102142333984,
+      "epoch": 6.420878210439105,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019863966680379086,
+      "loss": 4.4967,
+      "mean_token_accuracy": 0.22152459472417832,
+      "num_tokens": 14130106.0,
+      "step": 7750
+    },
+    {
+      "entropy": 5.18139157295227,
+      "epoch": 6.4250207125103564,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0001983391534845258,
+      "loss": 4.5424,
+      "mean_token_accuracy": 0.2322377920150757,
+      "num_tokens": 14139071.0,
+      "step": 7755
+    },
+    {
+      "entropy": 5.224069595336914,
+      "epoch": 6.4291632145816076,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00019803879479856547,
+      "loss": 4.5974,
+      "mean_token_accuracy": 0.21825987547636033,
+      "num_tokens": 14148018.0,
+      "step": 7760
+    },
+    {
+      "entropy": 5.2009124755859375,
+      "epoch": 6.433305716652859,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019773859135176626,
+      "loss": 4.5285,
+      "mean_token_accuracy": 0.21998629420995713,
+      "num_tokens": 14156369.0,
+      "step": 7765
+    },
+    {
+      "entropy": 5.215542888641357,
+      "epoch": 6.43744821872411,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001974385437496713,
+      "loss": 4.6106,
+      "mean_token_accuracy": 0.21984836757183074,
+      "num_tokens": 14165930.0,
+      "step": 7770
+    },
+    {
+      "entropy": 5.2183332443237305,
+      "epoch": 6.44159072079536,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00019713865259750945,
+      "loss": 4.5777,
+      "mean_token_accuracy": 0.228591625392437,
+      "num_tokens": 14175557.0,
+      "step": 7775
+    },
+    {
+      "entropy": 5.288492584228516,
+      "epoch": 6.445733222866611,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019683891850019391,
+      "loss": 4.65,
+      "mean_token_accuracy": 0.2170352444052696,
+      "num_tokens": 14185532.0,
+      "step": 7780
+    },
+    {
+      "entropy": 5.372134733200073,
+      "epoch": 6.449875724937862,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00019653934206232098,
+      "loss": 4.7328,
+      "mean_token_accuracy": 0.21203465312719344,
+      "num_tokens": 14194307.0,
+      "step": 7785
+    },
+    {
+      "entropy": 5.317110586166382,
+      "epoch": 6.454018227009113,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00019623992388816935,
+      "loss": 4.6817,
+      "mean_token_accuracy": 0.22098743617534639,
+      "num_tokens": 14203900.0,
+      "step": 7790
+    },
+    {
+      "entropy": 5.264908695220948,
+      "epoch": 6.458160729080364,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0001959406645816979,
+      "loss": 4.604,
+      "mean_token_accuracy": 0.22145358771085738,
+      "num_tokens": 14213232.0,
+      "step": 7795
+    },
+    {
+      "entropy": 5.2155252456665036,
+      "epoch": 6.4623032311516155,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00019564156474654554,
+      "loss": 4.545,
+      "mean_token_accuracy": 0.21945291459560395,
+      "num_tokens": 14221365.0,
+      "step": 7800
+    },
+    {
+      "entropy": 5.183708381652832,
+      "epoch": 6.466445733222867,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00019534262498602928,
+      "loss": 4.5722,
+      "mean_token_accuracy": 0.21912614554166793,
+      "num_tokens": 14229878.0,
+      "step": 7805
+    },
+    {
+      "entropy": 5.247611427307129,
+      "epoch": 6.470588235294118,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00019504384590314318,
+      "loss": 4.6163,
+      "mean_token_accuracy": 0.21504329293966293,
+      "num_tokens": 14239132.0,
+      "step": 7810
+    },
+    {
+      "entropy": 5.27608289718628,
+      "epoch": 6.474730737365369,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.00019474522810055745,
+      "loss": 4.6315,
+      "mean_token_accuracy": 0.22245015799999238,
+      "num_tokens": 14247116.0,
+      "step": 7815
+    },
+    {
+      "entropy": 5.237215900421143,
+      "epoch": 6.47887323943662,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00019444677218061673,
+      "loss": 4.5876,
+      "mean_token_accuracy": 0.22378402203321457,
+      "num_tokens": 14255423.0,
+      "step": 7820
+    },
+    {
+      "entropy": 5.22880802154541,
+      "epoch": 6.483015741507871,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.0001941484787453393,
+      "loss": 4.5576,
+      "mean_token_accuracy": 0.22750293612480163,
+      "num_tokens": 14263836.0,
+      "step": 7825
+    },
+    {
+      "entropy": 5.1975545406341555,
+      "epoch": 6.487158243579122,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00019385034839641558,
+      "loss": 4.6818,
+      "mean_token_accuracy": 0.21816913187503814,
+      "num_tokens": 14273460.0,
+      "step": 7830
+    },
+    {
+      "entropy": 5.288527727127075,
+      "epoch": 6.491300745650372,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001935523817352071,
+      "loss": 4.6991,
+      "mean_token_accuracy": 0.21707435250282286,
+      "num_tokens": 14282925.0,
+      "step": 7835
+    },
+    {
+      "entropy": 5.283282852172851,
+      "epoch": 6.4954432477216235,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019325457936274516,
+      "loss": 4.5817,
+      "mean_token_accuracy": 0.22622769176959992,
+      "num_tokens": 14292059.0,
+      "step": 7840
+    },
+    {
+      "entropy": 5.274545192718506,
+      "epoch": 6.499585749792875,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00019295694187972955,
+      "loss": 4.6371,
+      "mean_token_accuracy": 0.2125675469636917,
+      "num_tokens": 14301276.0,
+      "step": 7845
+    },
+    {
+      "entropy": 5.247177505493164,
+      "epoch": 6.503728251864126,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019265946988652783,
+      "loss": 4.6386,
+      "mean_token_accuracy": 0.21370143294334412,
+      "num_tokens": 14310259.0,
+      "step": 7850
+    },
+    {
+      "entropy": 5.227504730224609,
+      "epoch": 6.507870753935377,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0001923621639831733,
+      "loss": 4.5105,
+      "mean_token_accuracy": 0.22504902780056,
+      "num_tokens": 14318782.0,
+      "step": 7855
+    },
+    {
+      "entropy": 5.173471689224243,
+      "epoch": 6.512013256006628,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00019206502476936467,
+      "loss": 4.4963,
+      "mean_token_accuracy": 0.23206298500299455,
+      "num_tokens": 14327571.0,
+      "step": 7860
+    },
+    {
+      "entropy": 5.135555934906006,
+      "epoch": 6.516155758077879,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00019176805284446414,
+      "loss": 4.5319,
+      "mean_token_accuracy": 0.23313156962394715,
+      "num_tokens": 14336974.0,
+      "step": 7865
+    },
+    {
+      "entropy": 5.291125202178955,
+      "epoch": 6.52029826014913,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00019147124880749633,
+      "loss": 4.6926,
+      "mean_token_accuracy": 0.218401962518692,
+      "num_tokens": 14346367.0,
+      "step": 7870
+    },
+    {
+      "entropy": 5.287627267837524,
+      "epoch": 6.524440762220381,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00019117461325714768,
+      "loss": 4.6304,
+      "mean_token_accuracy": 0.22132983505725862,
+      "num_tokens": 14355641.0,
+      "step": 7875
+    },
+    {
+      "entropy": 5.246808195114136,
+      "epoch": 6.528583264291632,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019087814679176436,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.22451686710119248,
+      "num_tokens": 14364927.0,
+      "step": 7880
+    },
+    {
+      "entropy": 5.234672212600708,
+      "epoch": 6.5327257663628835,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019058185000935175,
+      "loss": 4.5399,
+      "mean_token_accuracy": 0.22587109208106995,
+      "num_tokens": 14373370.0,
+      "step": 7885
+    },
+    {
+      "entropy": 5.254017162322998,
+      "epoch": 6.536868268434135,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00019028572350757278,
+      "loss": 4.6124,
+      "mean_token_accuracy": 0.21654532849788666,
+      "num_tokens": 14381820.0,
+      "step": 7890
+    },
+    {
+      "entropy": 5.2422840118408205,
+      "epoch": 6.541010770505386,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018998976788374682,
+      "loss": 4.5875,
+      "mean_token_accuracy": 0.21863880306482314,
+      "num_tokens": 14391158.0,
+      "step": 7895
+    },
+    {
+      "entropy": 5.201485252380371,
+      "epoch": 6.545153272576636,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00018969398373484898,
+      "loss": 4.6299,
+      "mean_token_accuracy": 0.21829961985349655,
+      "num_tokens": 14399945.0,
+      "step": 7900
+    },
+    {
+      "entropy": 5.200627136230469,
+      "epoch": 6.549295774647887,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00018939837165750796,
+      "loss": 4.5447,
+      "mean_token_accuracy": 0.22442623525857924,
+      "num_tokens": 14410275.0,
+      "step": 7905
+    },
+    {
+      "entropy": 5.29403018951416,
+      "epoch": 6.553438276719138,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00018910293224800584,
+      "loss": 4.6482,
+      "mean_token_accuracy": 0.2173393338918686,
+      "num_tokens": 14420369.0,
+      "step": 7910
+    },
+    {
+      "entropy": 5.291232109069824,
+      "epoch": 6.557580778790389,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00018880766610227608,
+      "loss": 4.6234,
+      "mean_token_accuracy": 0.22409190386533737,
+      "num_tokens": 14429078.0,
+      "step": 7915
+    },
+    {
+      "entropy": 5.234523487091065,
+      "epoch": 6.56172328086164,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018851257381590264,
+      "loss": 4.5824,
+      "mean_token_accuracy": 0.22088503539562226,
+      "num_tokens": 14438920.0,
+      "step": 7920
+    },
+    {
+      "entropy": 5.292790508270263,
+      "epoch": 6.5658657829328915,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018821765598411917,
+      "loss": 4.7699,
+      "mean_token_accuracy": 0.20645501464605331,
+      "num_tokens": 14449164.0,
+      "step": 7925
+    },
+    {
+      "entropy": 5.241003036499023,
+      "epoch": 6.570008285004143,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00018792291320180693,
+      "loss": 4.6977,
+      "mean_token_accuracy": 0.2070661887526512,
+      "num_tokens": 14459418.0,
+      "step": 7930
+    },
+    {
+      "entropy": 5.294680643081665,
+      "epoch": 6.574150787075394,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00018762834606349455,
+      "loss": 4.5906,
+      "mean_token_accuracy": 0.22685577124357223,
+      "num_tokens": 14468691.0,
+      "step": 7935
+    },
+    {
+      "entropy": 5.322669315338135,
+      "epoch": 6.578293289146645,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00018733395516335588,
+      "loss": 4.6731,
+      "mean_token_accuracy": 0.21569546610116958,
+      "num_tokens": 14477936.0,
+      "step": 7940
+    },
+    {
+      "entropy": 5.285602855682373,
+      "epoch": 6.582435791217896,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00018703974109520976,
+      "loss": 4.6442,
+      "mean_token_accuracy": 0.22226325422525406,
+      "num_tokens": 14487191.0,
+      "step": 7945
+    },
+    {
+      "entropy": 5.2095410346984865,
+      "epoch": 6.586578293289147,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018674570445251798,
+      "loss": 4.566,
+      "mean_token_accuracy": 0.2255881741642952,
+      "num_tokens": 14495731.0,
+      "step": 7950
+    },
+    {
+      "entropy": 5.200072622299194,
+      "epoch": 6.590720795360397,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018645184582838465,
+      "loss": 4.5668,
+      "mean_token_accuracy": 0.22047847658395767,
+      "num_tokens": 14505009.0,
+      "step": 7955
+    },
+    {
+      "entropy": 5.211784410476684,
+      "epoch": 6.594863297431648,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00018615816581555466,
+      "loss": 4.614,
+      "mean_token_accuracy": 0.21996732503175737,
+      "num_tokens": 14513843.0,
+      "step": 7960
+    },
+    {
+      "entropy": 5.188229322433472,
+      "epoch": 6.5990057995028994,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0001858646650064128,
+      "loss": 4.6074,
+      "mean_token_accuracy": 0.22044946551322936,
+      "num_tokens": 14523405.0,
+      "step": 7965
+    },
+    {
+      "entropy": 5.254159069061279,
+      "epoch": 6.603148301574151,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018557134399298215,
+      "loss": 4.6781,
+      "mean_token_accuracy": 0.21682086437940598,
+      "num_tokens": 14532615.0,
+      "step": 7970
+    },
+    {
+      "entropy": 5.2646036624908445,
+      "epoch": 6.607290803645402,
+      "grad_norm": 1.671875,
+      "learning_rate": 0.0001852782033669233,
+      "loss": 4.6101,
+      "mean_token_accuracy": 0.22458707094192504,
+      "num_tokens": 14541297.0,
+      "step": 7975
+    },
+    {
+      "entropy": 5.216501903533936,
+      "epoch": 6.611433305716653,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00018498524371953295,
+      "loss": 4.556,
+      "mean_token_accuracy": 0.22257563024759291,
+      "num_tokens": 14549867.0,
+      "step": 7980
+    },
+    {
+      "entropy": 5.22313437461853,
+      "epoch": 6.615575807787904,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018469246564174275,
+      "loss": 4.6508,
+      "mean_token_accuracy": 0.20906404107809068,
+      "num_tokens": 14558708.0,
+      "step": 7985
+    },
+    {
+      "entropy": 5.215989065170288,
+      "epoch": 6.619718309859155,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.000184399869724118,
+      "loss": 4.648,
+      "mean_token_accuracy": 0.21317926198244094,
+      "num_tokens": 14567917.0,
+      "step": 7990
+    },
+    {
+      "entropy": 5.194528484344483,
+      "epoch": 6.623860811930406,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00018410745655685662,
+      "loss": 4.5161,
+      "mean_token_accuracy": 0.23143290728330612,
+      "num_tokens": 14576417.0,
+      "step": 7995
+    },
+    {
+      "entropy": 5.19383282661438,
+      "epoch": 6.628003314001657,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00018381522672978806,
+      "loss": 4.5967,
+      "mean_token_accuracy": 0.2205110549926758,
+      "num_tokens": 14585172.0,
+      "step": 8000
+    },
+    {
+      "epoch": 6.628003314001657,
+      "eval_entropy": 5.144060653409978,
+      "eval_loss": 5.7370734214782715,
+      "eval_mean_token_accuracy": 0.1679431346020719,
+      "eval_num_tokens": 14585172.0,
+      "eval_runtime": 2.746,
+      "eval_samples_per_second": 1364.549,
+      "eval_steps_per_second": 170.796,
+      "step": 8000
+    },
+    {
+      "entropy": 5.2945750713348385,
+      "epoch": 6.632145816072908,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00018352318083237167,
+      "loss": 4.6209,
+      "mean_token_accuracy": 0.21357694566249846,
+      "num_tokens": 14593758.0,
+      "step": 8005
+    },
+    {
+      "entropy": 5.269504880905151,
+      "epoch": 6.636288318144159,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00018323131945369603,
+      "loss": 4.5957,
+      "mean_token_accuracy": 0.2212613955140114,
+      "num_tokens": 14602558.0,
+      "step": 8010
+    },
+    {
+      "entropy": 5.292761898040771,
+      "epoch": 6.6404308202154105,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00018293964318247735,
+      "loss": 4.5895,
+      "mean_token_accuracy": 0.22187672108411788,
+      "num_tokens": 14611463.0,
+      "step": 8015
+    },
+    {
+      "entropy": 5.268460607528686,
+      "epoch": 6.644573322286661,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00018264815260705863,
+      "loss": 4.6303,
+      "mean_token_accuracy": 0.22261828631162645,
+      "num_tokens": 14619951.0,
+      "step": 8020
+    },
+    {
+      "entropy": 5.312491035461425,
+      "epoch": 6.648715824357912,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00018235684831540826,
+      "loss": 4.6601,
+      "mean_token_accuracy": 0.2227204129099846,
+      "num_tokens": 14629332.0,
+      "step": 8025
+    },
+    {
+      "entropy": 5.215784406661987,
+      "epoch": 6.652858326429163,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018206573089511862,
+      "loss": 4.6116,
+      "mean_token_accuracy": 0.22559183984994888,
+      "num_tokens": 14639010.0,
+      "step": 8030
+    },
+    {
+      "entropy": 5.217174816131592,
+      "epoch": 6.657000828500414,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00018177480093340564,
+      "loss": 4.644,
+      "mean_token_accuracy": 0.2131648376584053,
+      "num_tokens": 14648507.0,
+      "step": 8035
+    },
+    {
+      "entropy": 5.26403660774231,
+      "epoch": 6.661143330571665,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0001814840590171065,
+      "loss": 4.6395,
+      "mean_token_accuracy": 0.216891747713089,
+      "num_tokens": 14657892.0,
+      "step": 8040
+    },
+    {
+      "entropy": 5.276500272750854,
+      "epoch": 6.665285832642916,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018119350573267979,
+      "loss": 4.5962,
+      "mean_token_accuracy": 0.22690920978784562,
+      "num_tokens": 14666460.0,
+      "step": 8045
+    },
+    {
+      "entropy": 5.25149884223938,
+      "epoch": 6.669428334714167,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018090314166620302,
+      "loss": 4.5902,
+      "mean_token_accuracy": 0.2189852774143219,
+      "num_tokens": 14675046.0,
+      "step": 8050
+    },
+    {
+      "entropy": 5.219921970367432,
+      "epoch": 6.6735708367854185,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018061296740337225,
+      "loss": 4.6258,
+      "mean_token_accuracy": 0.2165866807103157,
+      "num_tokens": 14685055.0,
+      "step": 8055
+    },
+    {
+      "entropy": 5.248022747039795,
+      "epoch": 6.67771333885667,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00018032298352950077,
+      "loss": 4.5972,
+      "mean_token_accuracy": 0.2188133031129837,
+      "num_tokens": 14695371.0,
+      "step": 8060
+    },
+    {
+      "entropy": 5.225955820083618,
+      "epoch": 6.681855840927921,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00018003319062951756,
+      "loss": 4.569,
+      "mean_token_accuracy": 0.2223624899983406,
+      "num_tokens": 14703671.0,
+      "step": 8065
+    },
+    {
+      "entropy": 5.195835924148559,
+      "epoch": 6.685998342999172,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00017974358928796682,
+      "loss": 4.5951,
+      "mean_token_accuracy": 0.22712722718715667,
+      "num_tokens": 14712527.0,
+      "step": 8070
+    },
+    {
+      "entropy": 5.231344604492188,
+      "epoch": 6.690140845070422,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00017945418008900594,
+      "loss": 4.6311,
+      "mean_token_accuracy": 0.22212356179952622,
+      "num_tokens": 14720711.0,
+      "step": 8075
+    },
+    {
+      "entropy": 5.25670371055603,
+      "epoch": 6.694283347141674,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0001791649636164049,
+      "loss": 4.6664,
+      "mean_token_accuracy": 0.21566284000873565,
+      "num_tokens": 14729667.0,
+      "step": 8080
+    },
+    {
+      "entropy": 5.32373685836792,
+      "epoch": 6.698425849212924,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000178875940453545,
+      "loss": 4.612,
+      "mean_token_accuracy": 0.2260928839445114,
+      "num_tokens": 14738614.0,
+      "step": 8085
+    },
+    {
+      "entropy": 5.285801553726197,
+      "epoch": 6.702568351284175,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00017858711118341742,
+      "loss": 4.611,
+      "mean_token_accuracy": 0.22119891494512559,
+      "num_tokens": 14747724.0,
+      "step": 8090
+    },
+    {
+      "entropy": 5.189185285568238,
+      "epoch": 6.7067108533554265,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00017829847638862255,
+      "loss": 4.5783,
+      "mean_token_accuracy": 0.22308655232191085,
+      "num_tokens": 14757436.0,
+      "step": 8095
+    },
+    {
+      "entropy": 5.163452911376953,
+      "epoch": 6.710853355426678,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00017801003665136823,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.22859434187412261,
+      "num_tokens": 14765948.0,
+      "step": 8100
+    },
+    {
+      "entropy": 5.2175110340118405,
+      "epoch": 6.714995857497929,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00017772179255346883,
+      "loss": 4.5924,
+      "mean_token_accuracy": 0.21859526336193086,
+      "num_tokens": 14775397.0,
+      "step": 8105
+    },
+    {
+      "entropy": 5.2649805545806885,
+      "epoch": 6.71913835956918,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00017743374467634433,
+      "loss": 4.5547,
+      "mean_token_accuracy": 0.22480292171239852,
+      "num_tokens": 14783605.0,
+      "step": 8110
+    },
+    {
+      "entropy": 5.262083387374878,
+      "epoch": 6.723280861640431,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00017714589360101862,
+      "loss": 4.6719,
+      "mean_token_accuracy": 0.2111577272415161,
+      "num_tokens": 14792210.0,
+      "step": 8115
+    },
+    {
+      "entropy": 5.165537548065186,
+      "epoch": 6.727423363711682,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000176858239908119,
+      "loss": 4.5663,
+      "mean_token_accuracy": 0.21831904202699662,
+      "num_tokens": 14801186.0,
+      "step": 8120
+    },
+    {
+      "entropy": 5.171479225158691,
+      "epoch": 6.731565865782933,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00017657078417787414,
+      "loss": 4.5126,
+      "mean_token_accuracy": 0.2303812935948372,
+      "num_tokens": 14810100.0,
+      "step": 8125
+    },
+    {
+      "entropy": 5.1626139163970945,
+      "epoch": 6.735708367854184,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017628352699011396,
+      "loss": 4.4932,
+      "mean_token_accuracy": 0.22342629581689835,
+      "num_tokens": 14819335.0,
+      "step": 8130
+    },
+    {
+      "entropy": 5.184713125228882,
+      "epoch": 6.739850869925435,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001759964689242674,
+      "loss": 4.6115,
+      "mean_token_accuracy": 0.22678097039461137,
+      "num_tokens": 14828686.0,
+      "step": 8135
+    },
+    {
+      "entropy": 5.233674144744873,
+      "epoch": 6.743993371996686,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001757096105593619,
+      "loss": 4.6202,
+      "mean_token_accuracy": 0.21709106266498565,
+      "num_tokens": 14838312.0,
+      "step": 8140
+    },
+    {
+      "entropy": 5.149096870422364,
+      "epoch": 6.748135874067937,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00017542295247402234,
+      "loss": 4.5595,
+      "mean_token_accuracy": 0.22249870449304582,
+      "num_tokens": 14846838.0,
+      "step": 8145
+    },
+    {
+      "entropy": 5.202677154541016,
+      "epoch": 6.752278376139188,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00017513649524646919,
+      "loss": 4.6182,
+      "mean_token_accuracy": 0.21352985352277756,
+      "num_tokens": 14857427.0,
+      "step": 8150
+    },
+    {
+      "entropy": 5.231053304672241,
+      "epoch": 6.756420878210439,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001748502394545181,
+      "loss": 4.6142,
+      "mean_token_accuracy": 0.2143697887659073,
+      "num_tokens": 14866244.0,
+      "step": 8155
+    },
+    {
+      "entropy": 5.2318687915802,
+      "epoch": 6.76056338028169,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001745641856755783,
+      "loss": 4.6272,
+      "mean_token_accuracy": 0.2168770670890808,
+      "num_tokens": 14875697.0,
+      "step": 8160
+    },
+    {
+      "entropy": 5.213436222076416,
+      "epoch": 6.764705882352941,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00017427833448665136,
+      "loss": 4.6431,
+      "mean_token_accuracy": 0.22060779482126236,
+      "num_tokens": 14884650.0,
+      "step": 8165
+    },
+    {
+      "entropy": 5.221727609634399,
+      "epoch": 6.768848384424192,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00017399268646433065,
+      "loss": 4.5726,
+      "mean_token_accuracy": 0.22035471200942994,
+      "num_tokens": 14894058.0,
+      "step": 8170
+    },
+    {
+      "entropy": 5.291379785537719,
+      "epoch": 6.772990886495443,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00017370724218479912,
+      "loss": 4.6928,
+      "mean_token_accuracy": 0.21716551035642623,
+      "num_tokens": 14903219.0,
+      "step": 8175
+    },
+    {
+      "entropy": 5.280435705184937,
+      "epoch": 6.7771333885666944,
+      "grad_norm": 1.5234375,
+      "learning_rate": 0.00017342200222382934,
+      "loss": 4.6104,
+      "mean_token_accuracy": 0.21606069803237915,
+      "num_tokens": 14913051.0,
+      "step": 8180
+    },
+    {
+      "entropy": 5.284905195236206,
+      "epoch": 6.781275890637946,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00017313696715678134,
+      "loss": 4.6263,
+      "mean_token_accuracy": 0.2211444079875946,
+      "num_tokens": 14921777.0,
+      "step": 8185
+    },
+    {
+      "entropy": 5.336038494110108,
+      "epoch": 6.785418392709197,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.000172852137558602,
+      "loss": 4.7612,
+      "mean_token_accuracy": 0.20792590975761413,
+      "num_tokens": 14931558.0,
+      "step": 8190
+    },
+    {
+      "entropy": 5.2495917797088625,
+      "epoch": 6.789560894780448,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00017256751400382384,
+      "loss": 4.6749,
+      "mean_token_accuracy": 0.2186842069029808,
+      "num_tokens": 14940584.0,
+      "step": 8195
+    },
+    {
+      "entropy": 5.260048294067383,
+      "epoch": 6.793703396851699,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00017228309706656354,
+      "loss": 4.6003,
+      "mean_token_accuracy": 0.2234319806098938,
+      "num_tokens": 14950830.0,
+      "step": 8200
+    },
+    {
+      "entropy": 5.309694099426269,
+      "epoch": 6.797845898922949,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001719988873205213,
+      "loss": 4.6046,
+      "mean_token_accuracy": 0.2206121563911438,
+      "num_tokens": 14958990.0,
+      "step": 8205
+    },
+    {
+      "entropy": 5.258207225799561,
+      "epoch": 6.8019884009942,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00017171488533897916,
+      "loss": 4.6389,
+      "mean_token_accuracy": 0.216607928276062,
+      "num_tokens": 14967451.0,
+      "step": 8210
+    },
+    {
+      "entropy": 5.220820093154908,
+      "epoch": 6.806130903065451,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00017143109169480005,
+      "loss": 4.5703,
+      "mean_token_accuracy": 0.2230973109602928,
+      "num_tokens": 14976157.0,
+      "step": 8215
+    },
+    {
+      "entropy": 5.277642917633057,
+      "epoch": 6.810273405136702,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017114750696042695,
+      "loss": 4.6916,
+      "mean_token_accuracy": 0.211100971698761,
+      "num_tokens": 14985591.0,
+      "step": 8220
+    },
+    {
+      "entropy": 5.277077102661133,
+      "epoch": 6.8144159072079535,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00017086413170788107,
+      "loss": 4.5868,
+      "mean_token_accuracy": 0.22545621395111085,
+      "num_tokens": 14994513.0,
+      "step": 8225
+    },
+    {
+      "entropy": 5.249056625366211,
+      "epoch": 6.818558409279205,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00017058096650876143,
+      "loss": 4.6555,
+      "mean_token_accuracy": 0.21752652078866958,
+      "num_tokens": 15003252.0,
+      "step": 8230
+    },
+    {
+      "entropy": 5.268651342391967,
+      "epoch": 6.822700911350456,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017029801193424313,
+      "loss": 4.5678,
+      "mean_token_accuracy": 0.21832710206508638,
+      "num_tokens": 15012342.0,
+      "step": 8235
+    },
+    {
+      "entropy": 5.17280683517456,
+      "epoch": 6.826843413421707,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017001526855507632,
+      "loss": 4.5248,
+      "mean_token_accuracy": 0.22667909115552903,
+      "num_tokens": 15021336.0,
+      "step": 8240
+    },
+    {
+      "entropy": 5.232009410858154,
+      "epoch": 6.830985915492958,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00016973273694158555,
+      "loss": 4.5752,
+      "mean_token_accuracy": 0.21583533883094788,
+      "num_tokens": 15031016.0,
+      "step": 8245
+    },
+    {
+      "entropy": 5.281693077087402,
+      "epoch": 6.835128417564209,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00016945041766366773,
+      "loss": 4.5846,
+      "mean_token_accuracy": 0.22162794917821885,
+      "num_tokens": 15039181.0,
+      "step": 8250
+    },
+    {
+      "entropy": 5.255547618865966,
+      "epoch": 6.83927091963546,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00016916831129079187,
+      "loss": 4.647,
+      "mean_token_accuracy": 0.2128545254468918,
+      "num_tokens": 15048563.0,
+      "step": 8255
+    },
+    {
+      "entropy": 5.248698711395264,
+      "epoch": 6.84341342170671,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001688864183919973,
+      "loss": 4.5936,
+      "mean_token_accuracy": 0.22442127764225006,
+      "num_tokens": 15056960.0,
+      "step": 8260
+    },
+    {
+      "entropy": 5.307019329071045,
+      "epoch": 6.8475559237779615,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00016860473953589266,
+      "loss": 4.6347,
+      "mean_token_accuracy": 0.21388418227434158,
+      "num_tokens": 15065645.0,
+      "step": 8265
+    },
+    {
+      "entropy": 5.223530387878418,
+      "epoch": 6.851698425849213,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00016832327529065522,
+      "loss": 4.5822,
+      "mean_token_accuracy": 0.22318441718816756,
+      "num_tokens": 15074544.0,
+      "step": 8270
+    },
+    {
+      "entropy": 5.267363739013672,
+      "epoch": 6.855840927920464,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001680420262240289,
+      "loss": 4.6343,
+      "mean_token_accuracy": 0.21753862798213958,
+      "num_tokens": 15083543.0,
+      "step": 8275
+    },
+    {
+      "entropy": 5.204693603515625,
+      "epoch": 6.859983429991715,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00016776099290332397,
+      "loss": 4.6145,
+      "mean_token_accuracy": 0.2235179975628853,
+      "num_tokens": 15092291.0,
+      "step": 8280
+    },
+    {
+      "entropy": 5.3212086200714115,
+      "epoch": 6.864125932062966,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00016748017589541525,
+      "loss": 4.6697,
+      "mean_token_accuracy": 0.2193456619977951,
+      "num_tokens": 15100875.0,
+      "step": 8285
+    },
+    {
+      "entropy": 5.275527429580689,
+      "epoch": 6.868268434134217,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0001671995757667414,
+      "loss": 4.6246,
+      "mean_token_accuracy": 0.22207115739583969,
+      "num_tokens": 15111385.0,
+      "step": 8290
+    },
+    {
+      "entropy": 5.325754880905151,
+      "epoch": 6.872410936205468,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00016691919308330343,
+      "loss": 4.6412,
+      "mean_token_accuracy": 0.2226441338658333,
+      "num_tokens": 15121153.0,
+      "step": 8295
+    },
+    {
+      "entropy": 5.278840351104736,
+      "epoch": 6.876553438276719,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00016663902841066404,
+      "loss": 4.6258,
+      "mean_token_accuracy": 0.21953531950712205,
+      "num_tokens": 15130132.0,
+      "step": 8300
+    },
+    {
+      "entropy": 5.229125213623047,
+      "epoch": 6.88069594034797,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00016635908231394587,
+      "loss": 4.6111,
+      "mean_token_accuracy": 0.2153362438082695,
+      "num_tokens": 15138878.0,
+      "step": 8305
+    },
+    {
+      "entropy": 5.198756742477417,
+      "epoch": 6.8848384424192215,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0001660793553578307,
+      "loss": 4.6868,
+      "mean_token_accuracy": 0.20835813581943513,
+      "num_tokens": 15148727.0,
+      "step": 8310
+    },
+    {
+      "entropy": 5.257393503189087,
+      "epoch": 6.888980944490473,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00016579984810655856,
+      "loss": 4.6404,
+      "mean_token_accuracy": 0.21736776530742646,
+      "num_tokens": 15158107.0,
+      "step": 8315
+    },
+    {
+      "entropy": 5.275184488296508,
+      "epoch": 6.893123446561724,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00016552056112392594,
+      "loss": 4.6178,
+      "mean_token_accuracy": 0.21456918865442276,
+      "num_tokens": 15168101.0,
+      "step": 8320
+    },
+    {
+      "entropy": 5.249782991409302,
+      "epoch": 6.897265948632974,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0001652414949732854,
+      "loss": 4.5573,
+      "mean_token_accuracy": 0.22505220770835876,
+      "num_tokens": 15176376.0,
+      "step": 8325
+    },
+    {
+      "entropy": 5.2404684066772464,
+      "epoch": 6.901408450704225,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00016496265021754365,
+      "loss": 4.5925,
+      "mean_token_accuracy": 0.2170558288693428,
+      "num_tokens": 15184936.0,
+      "step": 8330
+    },
+    {
+      "entropy": 5.271342658996582,
+      "epoch": 6.905550952775476,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00016468402741916124,
+      "loss": 4.6586,
+      "mean_token_accuracy": 0.22344124019145967,
+      "num_tokens": 15194846.0,
+      "step": 8335
+    },
+    {
+      "entropy": 5.263687086105347,
+      "epoch": 6.909693454846727,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001644056271401506,
+      "loss": 4.6187,
+      "mean_token_accuracy": 0.22206373363733292,
+      "num_tokens": 15204543.0,
+      "step": 8340
+    },
+    {
+      "entropy": 5.221840810775757,
+      "epoch": 6.913835956917978,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00016412744994207573,
+      "loss": 4.5897,
+      "mean_token_accuracy": 0.215163554251194,
+      "num_tokens": 15213459.0,
+      "step": 8345
+    },
+    {
+      "entropy": 5.209072399139404,
+      "epoch": 6.9179784589892295,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00016384949638605025,
+      "loss": 4.6864,
+      "mean_token_accuracy": 0.20790564268827438,
+      "num_tokens": 15223841.0,
+      "step": 8350
+    },
+    {
+      "entropy": 5.225527238845825,
+      "epoch": 6.922120961060481,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00016357176703273696,
+      "loss": 4.6187,
+      "mean_token_accuracy": 0.22101123183965682,
+      "num_tokens": 15233594.0,
+      "step": 8355
+    },
+    {
+      "entropy": 5.251284885406494,
+      "epoch": 6.926263463131732,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0001632942624423463,
+      "loss": 4.5643,
+      "mean_token_accuracy": 0.22933652848005295,
+      "num_tokens": 15242876.0,
+      "step": 8360
+    },
+    {
+      "entropy": 5.297107553482055,
+      "epoch": 6.930405965202983,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00016301698317463525,
+      "loss": 4.6565,
+      "mean_token_accuracy": 0.2228442072868347,
+      "num_tokens": 15251581.0,
+      "step": 8365
+    },
+    {
+      "entropy": 5.252490663528443,
+      "epoch": 6.934548467274234,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00016273992978890658,
+      "loss": 4.5084,
+      "mean_token_accuracy": 0.22431502342224122,
+      "num_tokens": 15260601.0,
+      "step": 8370
+    },
+    {
+      "entropy": 5.232750654220581,
+      "epoch": 6.938690969345485,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001624631028440071,
+      "loss": 4.5322,
+      "mean_token_accuracy": 0.22127106189727783,
+      "num_tokens": 15270123.0,
+      "step": 8375
+    },
+    {
+      "entropy": 5.301280069351196,
+      "epoch": 6.942833471416735,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0001621865028983271,
+      "loss": 4.6664,
+      "mean_token_accuracy": 0.2162109360098839,
+      "num_tokens": 15278623.0,
+      "step": 8380
+    },
+    {
+      "entropy": 5.187017822265625,
+      "epoch": 6.946975973487987,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001619101305097988,
+      "loss": 4.569,
+      "mean_token_accuracy": 0.22274162173271178,
+      "num_tokens": 15287789.0,
+      "step": 8385
+    },
+    {
+      "entropy": 5.105927991867065,
+      "epoch": 6.9511184755592375,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.00016163398623589563,
+      "loss": 4.5276,
+      "mean_token_accuracy": 0.23134084939956664,
+      "num_tokens": 15296266.0,
+      "step": 8390
+    },
+    {
+      "entropy": 5.268940114974976,
+      "epoch": 6.955260977630489,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00016135807063363074,
+      "loss": 4.6269,
+      "mean_token_accuracy": 0.21198562532663345,
+      "num_tokens": 15304785.0,
+      "step": 8395
+    },
+    {
+      "entropy": 5.171991634368896,
+      "epoch": 6.95940347970174,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00016108238425955584,
+      "loss": 4.5327,
+      "mean_token_accuracy": 0.22577450573444366,
+      "num_tokens": 15313727.0,
+      "step": 8400
+    },
+    {
+      "entropy": 5.254316186904907,
+      "epoch": 6.963545981772991,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0001608069276697608,
+      "loss": 4.7158,
+      "mean_token_accuracy": 0.21332326233386995,
+      "num_tokens": 15322911.0,
+      "step": 8405
+    },
+    {
+      "entropy": 5.300360822677613,
+      "epoch": 6.967688483844242,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001605317014198714,
+      "loss": 4.6163,
+      "mean_token_accuracy": 0.22070427536964415,
+      "num_tokens": 15330882.0,
+      "step": 8410
+    },
+    {
+      "entropy": 5.221141958236695,
+      "epoch": 6.971830985915493,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00016025670606504926,
+      "loss": 4.523,
+      "mean_token_accuracy": 0.22398052662611007,
+      "num_tokens": 15339915.0,
+      "step": 8415
+    },
+    {
+      "entropy": 5.213225173950195,
+      "epoch": 6.975973487986744,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001599819421599899,
+      "loss": 4.5878,
+      "mean_token_accuracy": 0.21864742040634155,
+      "num_tokens": 15348181.0,
+      "step": 8420
+    },
+    {
+      "entropy": 5.188560724258423,
+      "epoch": 6.980115990057995,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00015970741025892233,
+      "loss": 4.5452,
+      "mean_token_accuracy": 0.2271549642086029,
+      "num_tokens": 15357128.0,
+      "step": 8425
+    },
+    {
+      "entropy": 5.209831953048706,
+      "epoch": 6.984258492129246,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00015943311091560721,
+      "loss": 4.6538,
+      "mean_token_accuracy": 0.22213561683893204,
+      "num_tokens": 15366878.0,
+      "step": 8430
+    },
+    {
+      "entropy": 5.3097316265106205,
+      "epoch": 6.988400994200497,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00015915904468333635,
+      "loss": 4.5939,
+      "mean_token_accuracy": 0.22847030758857728,
+      "num_tokens": 15376101.0,
+      "step": 8435
+    },
+    {
+      "entropy": 5.18035774230957,
+      "epoch": 6.9925434962717485,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00015888521211493135,
+      "loss": 4.5421,
+      "mean_token_accuracy": 0.21641024351119995,
+      "num_tokens": 15384942.0,
+      "step": 8440
+    },
+    {
+      "entropy": 5.193719911575317,
+      "epoch": 6.996685998342999,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001586116137627423,
+      "loss": 4.5648,
+      "mean_token_accuracy": 0.22552343606948852,
+      "num_tokens": 15394380.0,
+      "step": 8445
+    },
+    {
+      "entropy": 5.28035192489624,
+      "epoch": 7.00082850041425,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00015833825017864711,
+      "loss": 4.4966,
+      "mean_token_accuracy": 0.23881841003894805,
+      "num_tokens": 15402180.0,
+      "step": 8450
+    },
+    {
+      "entropy": 5.25820837020874,
+      "epoch": 7.004971002485501,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00015806512191405,
+      "loss": 4.5534,
+      "mean_token_accuracy": 0.22912415564060212,
+      "num_tokens": 15411434.0,
+      "step": 8455
+    },
+    {
+      "entropy": 5.271618843078613,
+      "epoch": 7.009113504556752,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0001577922295198803,
+      "loss": 4.4939,
+      "mean_token_accuracy": 0.2291717991232872,
+      "num_tokens": 15419905.0,
+      "step": 8460
+    },
+    {
+      "entropy": 5.211508417129517,
+      "epoch": 7.013256006628003,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00015751957354659206,
+      "loss": 4.5173,
+      "mean_token_accuracy": 0.22768738716840745,
+      "num_tokens": 15429200.0,
+      "step": 8465
+    },
+    {
+      "entropy": 5.230689239501953,
+      "epoch": 7.017398508699254,
+      "grad_norm": 1.7734375,
+      "learning_rate": 0.00015724715454416206,
+      "loss": 4.5014,
+      "mean_token_accuracy": 0.23492475599050522,
+      "num_tokens": 15439328.0,
+      "step": 8470
+    },
+    {
+      "entropy": 5.239945983886718,
+      "epoch": 7.021541010770505,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00015697497306208926,
+      "loss": 4.449,
+      "mean_token_accuracy": 0.23373402953147887,
+      "num_tokens": 15447739.0,
+      "step": 8475
+    },
+    {
+      "entropy": 5.2335375308990475,
+      "epoch": 7.0256835128417565,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001567030296493934,
+      "loss": 4.4117,
+      "mean_token_accuracy": 0.2391123041510582,
+      "num_tokens": 15456598.0,
+      "step": 8480
+    },
+    {
+      "entropy": 5.264567565917969,
+      "epoch": 7.029826014913008,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00015643132485461395,
+      "loss": 4.5407,
+      "mean_token_accuracy": 0.22584614008665085,
+      "num_tokens": 15466633.0,
+      "step": 8485
+    },
+    {
+      "entropy": 5.269935941696167,
+      "epoch": 7.033968516984259,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.0001561598592258094,
+      "loss": 4.4839,
+      "mean_token_accuracy": 0.23932840377092363,
+      "num_tokens": 15476809.0,
+      "step": 8490
+    },
+    {
+      "entropy": 5.200196313858032,
+      "epoch": 7.03811101905551,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00015588863331055541,
+      "loss": 4.4345,
+      "mean_token_accuracy": 0.22763314247131347,
+      "num_tokens": 15484964.0,
+      "step": 8495
+    },
+    {
+      "entropy": 5.208463573455811,
+      "epoch": 7.042253521126761,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.0001556176476559444,
+      "loss": 4.4668,
+      "mean_token_accuracy": 0.2335176944732666,
+      "num_tokens": 15493600.0,
+      "step": 8500
+    },
+    {
+      "epoch": 7.042253521126761,
+      "eval_entropy": 5.129485646798921,
+      "eval_loss": 5.728693962097168,
+      "eval_mean_token_accuracy": 0.16830202490726767,
+      "eval_num_tokens": 15493600.0,
+      "eval_runtime": 2.7433,
+      "eval_samples_per_second": 1365.87,
+      "eval_steps_per_second": 170.962,
+      "step": 8500
+    },
+    {
+      "entropy": 5.164541816711425,
+      "epoch": 7.046396023198011,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00015534690280858405,
+      "loss": 4.4339,
+      "mean_token_accuracy": 0.23090869933366776,
+      "num_tokens": 15502614.0,
+      "step": 8505
+    },
+    {
+      "entropy": 5.342812156677246,
+      "epoch": 7.050538525269262,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00015507639931459615,
+      "loss": 4.5456,
+      "mean_token_accuracy": 0.23020666539669038,
+      "num_tokens": 15511521.0,
+      "step": 8510
+    },
+    {
+      "entropy": 5.217349433898926,
+      "epoch": 7.054681027340513,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000154806137719616,
+      "loss": 4.4838,
+      "mean_token_accuracy": 0.22951803505420684,
+      "num_tokens": 15520220.0,
+      "step": 8515
+    },
+    {
+      "entropy": 5.209629344940185,
+      "epoch": 7.0588235294117645,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001545361185687906,
+      "loss": 4.431,
+      "mean_token_accuracy": 0.2416904717683792,
+      "num_tokens": 15528924.0,
+      "step": 8520
+    },
+    {
+      "entropy": 5.182469224929809,
+      "epoch": 7.062966031483016,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00015426634240677824,
+      "loss": 4.4263,
+      "mean_token_accuracy": 0.23380360007286072,
+      "num_tokens": 15539722.0,
+      "step": 8525
+    },
+    {
+      "entropy": 5.2457551002502445,
+      "epoch": 7.067108533554267,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00015399680977774689,
+      "loss": 4.501,
+      "mean_token_accuracy": 0.2327603965997696,
+      "num_tokens": 15548682.0,
+      "step": 8530
+    },
+    {
+      "entropy": 5.270536422729492,
+      "epoch": 7.071251035625518,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00015372752122537318,
+      "loss": 4.4816,
+      "mean_token_accuracy": 0.23249582201242447,
+      "num_tokens": 15557508.0,
+      "step": 8535
+    },
+    {
+      "entropy": 5.2048643112182615,
+      "epoch": 7.075393537696769,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00015345847729284168,
+      "loss": 4.5156,
+      "mean_token_accuracy": 0.23168871104717254,
+      "num_tokens": 15566120.0,
+      "step": 8540
+    },
+    {
+      "entropy": 5.203616809844971,
+      "epoch": 7.07953603976802,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00015318967852284335,
+      "loss": 4.4143,
+      "mean_token_accuracy": 0.24245947301387788,
+      "num_tokens": 15575166.0,
+      "step": 8545
+    },
+    {
+      "entropy": 5.213142776489258,
+      "epoch": 7.083678541839271,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00015292112545757476,
+      "loss": 4.4618,
+      "mean_token_accuracy": 0.22540973722934723,
+      "num_tokens": 15585063.0,
+      "step": 8550
+    },
+    {
+      "entropy": 5.212160682678222,
+      "epoch": 7.087821043910522,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00015265281863873663,
+      "loss": 4.4774,
+      "mean_token_accuracy": 0.23299887031316757,
+      "num_tokens": 15594386.0,
+      "step": 8555
+    },
+    {
+      "entropy": 5.2236042499542235,
+      "epoch": 7.091963545981773,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00015238475860753338,
+      "loss": 4.5,
+      "mean_token_accuracy": 0.22962148636579513,
+      "num_tokens": 15603796.0,
+      "step": 8560
+    },
+    {
+      "entropy": 5.24848952293396,
+      "epoch": 7.096106048053024,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00015211694590467118,
+      "loss": 4.4305,
+      "mean_token_accuracy": 0.24062979519367217,
+      "num_tokens": 15612752.0,
+      "step": 8565
+    },
+    {
+      "entropy": 5.247216987609863,
+      "epoch": 7.100248550124275,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0001518493810703575,
+      "loss": 4.5228,
+      "mean_token_accuracy": 0.22897974401712418,
+      "num_tokens": 15621995.0,
+      "step": 8570
+    },
+    {
+      "entropy": 5.2101912021636965,
+      "epoch": 7.104391052195526,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00015158206464430002,
+      "loss": 4.4774,
+      "mean_token_accuracy": 0.2337987780570984,
+      "num_tokens": 15630390.0,
+      "step": 8575
+    },
+    {
+      "entropy": 5.154296445846557,
+      "epoch": 7.108533554266777,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000151314997165705,
+      "loss": 4.4282,
+      "mean_token_accuracy": 0.2341099962592125,
+      "num_tokens": 15639723.0,
+      "step": 8580
+    },
+    {
+      "entropy": 5.143678855895996,
+      "epoch": 7.112676056338028,
+      "grad_norm": 1.5625,
+      "learning_rate": 0.00015104817917327694,
+      "loss": 4.3389,
+      "mean_token_accuracy": 0.25343778878450396,
+      "num_tokens": 15647755.0,
+      "step": 8585
+    },
+    {
+      "entropy": 5.213784980773926,
+      "epoch": 7.116818558409279,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00015078161120521676,
+      "loss": 4.489,
+      "mean_token_accuracy": 0.24025783091783523,
+      "num_tokens": 15656949.0,
+      "step": 8590
+    },
+    {
+      "entropy": 5.183463621139526,
+      "epoch": 7.12096106048053,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001505152937992211,
+      "loss": 4.4389,
+      "mean_token_accuracy": 0.23687577545642852,
+      "num_tokens": 15666290.0,
+      "step": 8595
+    },
+    {
+      "entropy": 5.265416860580444,
+      "epoch": 7.125103562551781,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00015024922749248143,
+      "loss": 4.4796,
+      "mean_token_accuracy": 0.23623479157686234,
+      "num_tokens": 15675728.0,
+      "step": 8600
+    },
+    {
+      "entropy": 5.224102210998535,
+      "epoch": 7.1292460646230325,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00014998341282168243,
+      "loss": 4.4247,
+      "mean_token_accuracy": 0.24638550877571105,
+      "num_tokens": 15684519.0,
+      "step": 8605
+    },
+    {
+      "entropy": 5.225100469589234,
+      "epoch": 7.133388566694284,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0001497178503230015,
+      "loss": 4.5214,
+      "mean_token_accuracy": 0.2323624387383461,
+      "num_tokens": 15693813.0,
+      "step": 8610
+    },
+    {
+      "entropy": 5.2346985816955565,
+      "epoch": 7.137531068765535,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00014945254053210712,
+      "loss": 4.4972,
+      "mean_token_accuracy": 0.23152748346328736,
+      "num_tokens": 15702245.0,
+      "step": 8615
+    },
+    {
+      "entropy": 5.260819959640503,
+      "epoch": 7.141673570836786,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00014918748398415801,
+      "loss": 4.5132,
+      "mean_token_accuracy": 0.22982551604509355,
+      "num_tokens": 15712246.0,
+      "step": 8620
+    },
+    {
+      "entropy": 5.199164581298828,
+      "epoch": 7.145816072908037,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00014892268121380244,
+      "loss": 4.453,
+      "mean_token_accuracy": 0.23305327594280242,
+      "num_tokens": 15720904.0,
+      "step": 8625
+    },
+    {
+      "entropy": 5.201052474975586,
+      "epoch": 7.149958574979287,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00014865813275517637,
+      "loss": 4.4464,
+      "mean_token_accuracy": 0.24035904705524444,
+      "num_tokens": 15730595.0,
+      "step": 8630
+    },
+    {
+      "entropy": 5.160213327407837,
+      "epoch": 7.154101077050538,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00014839383914190302,
+      "loss": 4.4113,
+      "mean_token_accuracy": 0.2371663734316826,
+      "num_tokens": 15739475.0,
+      "step": 8635
+    },
+    {
+      "entropy": 5.202706527709961,
+      "epoch": 7.158243579121789,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001481298009070915,
+      "loss": 4.4357,
+      "mean_token_accuracy": 0.2400374785065651,
+      "num_tokens": 15748672.0,
+      "step": 8640
+    },
+    {
+      "entropy": 5.255636262893677,
+      "epoch": 7.16238608119304,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00014786601858333566,
+      "loss": 4.4665,
+      "mean_token_accuracy": 0.2322999894618988,
+      "num_tokens": 15757540.0,
+      "step": 8645
+    },
+    {
+      "entropy": 5.19217586517334,
+      "epoch": 7.1665285832642915,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00014760249270271341,
+      "loss": 4.4882,
+      "mean_token_accuracy": 0.23090190291404725,
+      "num_tokens": 15767198.0,
+      "step": 8650
+    },
+    {
+      "entropy": 5.181815910339355,
+      "epoch": 7.170671085335543,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00014733922379678513,
+      "loss": 4.444,
+      "mean_token_accuracy": 0.2331250548362732,
+      "num_tokens": 15776818.0,
+      "step": 8655
+    },
+    {
+      "entropy": 5.310377168655395,
+      "epoch": 7.174813587406794,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00014707621239659312,
+      "loss": 4.5959,
+      "mean_token_accuracy": 0.22294886857271196,
+      "num_tokens": 15786054.0,
+      "step": 8660
+    },
+    {
+      "entropy": 5.248941802978516,
+      "epoch": 7.178956089478045,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001468134590326601,
+      "loss": 4.5396,
+      "mean_token_accuracy": 0.22474610805511475,
+      "num_tokens": 15795367.0,
+      "step": 8665
+    },
+    {
+      "entropy": 5.275604391098023,
+      "epoch": 7.183098591549296,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001465509642349881,
+      "loss": 4.521,
+      "mean_token_accuracy": 0.22873310893774032,
+      "num_tokens": 15805006.0,
+      "step": 8670
+    },
+    {
+      "entropy": 5.279868030548096,
+      "epoch": 7.187241093620547,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00014628872853305808,
+      "loss": 4.5661,
+      "mean_token_accuracy": 0.21865685284137726,
+      "num_tokens": 15813978.0,
+      "step": 8675
+    },
+    {
+      "entropy": 5.2523754119873045,
+      "epoch": 7.191383595691798,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00014602675245582795,
+      "loss": 4.5336,
+      "mean_token_accuracy": 0.23225435018539428,
+      "num_tokens": 15824156.0,
+      "step": 8680
+    },
+    {
+      "entropy": 5.277890396118164,
+      "epoch": 7.195526097763049,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00014576503653173219,
+      "loss": 4.5739,
+      "mean_token_accuracy": 0.22429476380348207,
+      "num_tokens": 15833514.0,
+      "step": 8685
+    },
+    {
+      "entropy": 5.269798374176025,
+      "epoch": 7.1996685998342995,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00014550358128868036,
+      "loss": 4.5337,
+      "mean_token_accuracy": 0.2327092170715332,
+      "num_tokens": 15842047.0,
+      "step": 8690
+    },
+    {
+      "entropy": 5.283967399597168,
+      "epoch": 7.203811101905551,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00014524238725405615,
+      "loss": 4.5696,
+      "mean_token_accuracy": 0.230625981092453,
+      "num_tokens": 15851916.0,
+      "step": 8695
+    },
+    {
+      "entropy": 5.251355886459351,
+      "epoch": 7.207953603976802,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00014498145495471664,
+      "loss": 4.4735,
+      "mean_token_accuracy": 0.23564820736646652,
+      "num_tokens": 15860776.0,
+      "step": 8700
+    },
+    {
+      "entropy": 5.227689504623413,
+      "epoch": 7.212096106048053,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00014472078491699076,
+      "loss": 4.5561,
+      "mean_token_accuracy": 0.22959548383951187,
+      "num_tokens": 15870272.0,
+      "step": 8705
+    },
+    {
+      "entropy": 5.2320441722869875,
+      "epoch": 7.216238608119304,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0001444603776666784,
+      "loss": 4.4616,
+      "mean_token_accuracy": 0.23800074458122253,
+      "num_tokens": 15879448.0,
+      "step": 8710
+    },
+    {
+      "entropy": 5.309765768051148,
+      "epoch": 7.220381110190555,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00014420023372904944,
+      "loss": 4.5565,
+      "mean_token_accuracy": 0.22581303268671035,
+      "num_tokens": 15888806.0,
+      "step": 8715
+    },
+    {
+      "entropy": 5.223542404174805,
+      "epoch": 7.224523612261806,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00014394035362884274,
+      "loss": 4.5296,
+      "mean_token_accuracy": 0.23095161318778992,
+      "num_tokens": 15898443.0,
+      "step": 8720
+    },
+    {
+      "entropy": 5.220206260681152,
+      "epoch": 7.228666114333057,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00014368073789026482,
+      "loss": 4.4329,
+      "mean_token_accuracy": 0.2360845535993576,
+      "num_tokens": 15907759.0,
+      "step": 8725
+    },
+    {
+      "entropy": 5.230159711837769,
+      "epoch": 7.232808616404308,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00014342138703698882,
+      "loss": 4.4162,
+      "mean_token_accuracy": 0.24004922807216644,
+      "num_tokens": 15916687.0,
+      "step": 8730
+    },
+    {
+      "entropy": 5.2235363006591795,
+      "epoch": 7.2369511184755595,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.000143162301592154,
+      "loss": 4.48,
+      "mean_token_accuracy": 0.23941969871520996,
+      "num_tokens": 15925422.0,
+      "step": 8735
+    },
+    {
+      "entropy": 5.1952455043792725,
+      "epoch": 7.241093620546811,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00014290348207836385,
+      "loss": 4.4895,
+      "mean_token_accuracy": 0.2233983114361763,
+      "num_tokens": 15934279.0,
+      "step": 8740
+    },
+    {
+      "entropy": 5.200940227508545,
+      "epoch": 7.245236122618062,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001426449290176857,
+      "loss": 4.4485,
+      "mean_token_accuracy": 0.24146829843521117,
+      "num_tokens": 15943565.0,
+      "step": 8745
+    },
+    {
+      "entropy": 5.166256427764893,
+      "epoch": 7.249378624689312,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00014238664293164934,
+      "loss": 4.4391,
+      "mean_token_accuracy": 0.24021793454885482,
+      "num_tokens": 15952360.0,
+      "step": 8750
+    },
+    {
+      "entropy": 5.23963360786438,
+      "epoch": 7.253521126760563,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0001421286243412459,
+      "loss": 4.4776,
+      "mean_token_accuracy": 0.22992977499961853,
+      "num_tokens": 15960715.0,
+      "step": 8755
+    },
+    {
+      "entropy": 5.244385242462158,
+      "epoch": 7.257663628831814,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00014187087376692724,
+      "loss": 4.5058,
+      "mean_token_accuracy": 0.23199538439512252,
+      "num_tokens": 15969543.0,
+      "step": 8760
+    },
+    {
+      "entropy": 5.147299814224243,
+      "epoch": 7.261806130903065,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001416133917286043,
+      "loss": 4.4457,
+      "mean_token_accuracy": 0.23225277662277222,
+      "num_tokens": 15978256.0,
+      "step": 8765
+    },
+    {
+      "entropy": 5.203030776977539,
+      "epoch": 7.265948632974316,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001413561787456466,
+      "loss": 4.4327,
+      "mean_token_accuracy": 0.23831526637077333,
+      "num_tokens": 15987646.0,
+      "step": 8770
+    },
+    {
+      "entropy": 5.234354543685913,
+      "epoch": 7.2700911350455675,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00014109923533688068,
+      "loss": 4.4492,
+      "mean_token_accuracy": 0.23111054450273513,
+      "num_tokens": 15996767.0,
+      "step": 8775
+    },
+    {
+      "entropy": 5.211431694030762,
+      "epoch": 7.274233637116819,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0001408425620205897,
+      "loss": 4.4718,
+      "mean_token_accuracy": 0.23208508044481277,
+      "num_tokens": 16007170.0,
+      "step": 8780
+    },
+    {
+      "entropy": 5.255538749694824,
+      "epoch": 7.27837613918807,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001405861593145116,
+      "loss": 4.4987,
+      "mean_token_accuracy": 0.22857699245214463,
+      "num_tokens": 16015354.0,
+      "step": 8785
+    },
+    {
+      "entropy": 5.275969696044922,
+      "epoch": 7.282518641259321,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00014033002773583872,
+      "loss": 4.4955,
+      "mean_token_accuracy": 0.22325098514556885,
+      "num_tokens": 16024600.0,
+      "step": 8790
+    },
+    {
+      "entropy": 5.268600225448608,
+      "epoch": 7.286661143330572,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001400741678012164,
+      "loss": 4.4813,
+      "mean_token_accuracy": 0.2368546172976494,
+      "num_tokens": 16033301.0,
+      "step": 8795
+    },
+    {
+      "entropy": 5.252548122406006,
+      "epoch": 7.290803645401823,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00013981858002674223,
+      "loss": 4.5322,
+      "mean_token_accuracy": 0.22765524685382843,
+      "num_tokens": 16043539.0,
+      "step": 8800
+    },
+    {
+      "entropy": 5.284696912765503,
+      "epoch": 7.294946147473074,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001395632649279645,
+      "loss": 4.5687,
+      "mean_token_accuracy": 0.22771918177604675,
+      "num_tokens": 16052861.0,
+      "step": 8805
+    },
+    {
+      "entropy": 5.268942785263062,
+      "epoch": 7.299088649544325,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00013930822301988177,
+      "loss": 4.4622,
+      "mean_token_accuracy": 0.23665641099214554,
+      "num_tokens": 16062454.0,
+      "step": 8810
+    },
+    {
+      "entropy": 5.201201915740967,
+      "epoch": 7.3032311516155755,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00013905345481694147,
+      "loss": 4.4705,
+      "mean_token_accuracy": 0.2322714164853096,
+      "num_tokens": 16071432.0,
+      "step": 8815
+    },
+    {
+      "entropy": 5.172683620452881,
+      "epoch": 7.307373653686827,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001387989608330388,
+      "loss": 4.4437,
+      "mean_token_accuracy": 0.23548867851495742,
+      "num_tokens": 16080411.0,
+      "step": 8820
+    },
+    {
+      "entropy": 5.220728492736816,
+      "epoch": 7.311516155758078,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013854474158151602,
+      "loss": 4.486,
+      "mean_token_accuracy": 0.22679401338100433,
+      "num_tokens": 16089396.0,
+      "step": 8825
+    },
+    {
+      "entropy": 5.26025390625,
+      "epoch": 7.315658657829329,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00013829079757516106,
+      "loss": 4.5679,
+      "mean_token_accuracy": 0.224435892701149,
+      "num_tokens": 16099308.0,
+      "step": 8830
+    },
+    {
+      "entropy": 5.22006459236145,
+      "epoch": 7.31980115990058,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013803712932620681,
+      "loss": 4.5028,
+      "mean_token_accuracy": 0.22673140466213226,
+      "num_tokens": 16109336.0,
+      "step": 8835
+    },
+    {
+      "entropy": 5.267045164108277,
+      "epoch": 7.323943661971831,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001377837373463298,
+      "loss": 4.4931,
+      "mean_token_accuracy": 0.2302021786570549,
+      "num_tokens": 16118483.0,
+      "step": 8840
+    },
+    {
+      "entropy": 5.240559911727905,
+      "epoch": 7.328086164043082,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0001375306221466494,
+      "loss": 4.4713,
+      "mean_token_accuracy": 0.22934858202934266,
+      "num_tokens": 16127302.0,
+      "step": 8845
+    },
+    {
+      "entropy": 5.200973415374756,
+      "epoch": 7.332228666114333,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00013727778423772654,
+      "loss": 4.5353,
+      "mean_token_accuracy": 0.22502323240041733,
+      "num_tokens": 16136361.0,
+      "step": 8850
+    },
+    {
+      "entropy": 5.302484941482544,
+      "epoch": 7.336371168185584,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00013702522412956304,
+      "loss": 4.5868,
+      "mean_token_accuracy": 0.22618300914764405,
+      "num_tokens": 16146071.0,
+      "step": 8855
+    },
+    {
+      "entropy": 5.299910354614258,
+      "epoch": 7.340513670256835,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00013677294233160016,
+      "loss": 4.5189,
+      "mean_token_accuracy": 0.22607939094305038,
+      "num_tokens": 16154606.0,
+      "step": 8860
+    },
+    {
+      "entropy": 5.193687105178833,
+      "epoch": 7.3446561723280865,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013652093935271776,
+      "loss": 4.4767,
+      "mean_token_accuracy": 0.24149058610200883,
+      "num_tokens": 16163648.0,
+      "step": 8865
+    },
+    {
+      "entropy": 5.282410192489624,
+      "epoch": 7.348798674399337,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013626921570123357,
+      "loss": 4.5431,
+      "mean_token_accuracy": 0.22477766126394272,
+      "num_tokens": 16172693.0,
+      "step": 8870
+    },
+    {
+      "entropy": 5.204723453521728,
+      "epoch": 7.352941176470588,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00013601777188490156,
+      "loss": 4.4384,
+      "mean_token_accuracy": 0.23236895948648453,
+      "num_tokens": 16181689.0,
+      "step": 8875
+    },
+    {
+      "entropy": 5.202375221252441,
+      "epoch": 7.357083678541839,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0001357666084109115,
+      "loss": 4.5693,
+      "mean_token_accuracy": 0.22547451853752137,
+      "num_tokens": 16191254.0,
+      "step": 8880
+    },
+    {
+      "entropy": 5.271569538116455,
+      "epoch": 7.36122618061309,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001355157257858875,
+      "loss": 4.4698,
+      "mean_token_accuracy": 0.23402072489261627,
+      "num_tokens": 16199613.0,
+      "step": 8885
+    },
+    {
+      "entropy": 5.213530111312866,
+      "epoch": 7.365368682684341,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013526512451588718,
+      "loss": 4.4584,
+      "mean_token_accuracy": 0.23570594042539597,
+      "num_tokens": 16208345.0,
+      "step": 8890
+    },
+    {
+      "entropy": 5.259526348114013,
+      "epoch": 7.369511184755592,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0001350148051064008,
+      "loss": 4.5219,
+      "mean_token_accuracy": 0.23035535961389542,
+      "num_tokens": 16217964.0,
+      "step": 8895
+    },
+    {
+      "entropy": 5.259307479858398,
+      "epoch": 7.373653686826843,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00013476476806234983,
+      "loss": 4.5768,
+      "mean_token_accuracy": 0.2261824905872345,
+      "num_tokens": 16227140.0,
+      "step": 8900
+    },
+    {
+      "entropy": 5.320018339157104,
+      "epoch": 7.3777961888980945,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0001345150138880865,
+      "loss": 4.5291,
+      "mean_token_accuracy": 0.22605375498533248,
+      "num_tokens": 16237416.0,
+      "step": 8905
+    },
+    {
+      "entropy": 5.313902473449707,
+      "epoch": 7.381938690969346,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00013426554308739214,
+      "loss": 4.5596,
+      "mean_token_accuracy": 0.2251575157046318,
+      "num_tokens": 16246682.0,
+      "step": 8910
+    },
+    {
+      "entropy": 5.246820068359375,
+      "epoch": 7.386081193040597,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00013401635616347655,
+      "loss": 4.5364,
+      "mean_token_accuracy": 0.2272168666124344,
+      "num_tokens": 16255450.0,
+      "step": 8915
+    },
+    {
+      "entropy": 5.129112625122071,
+      "epoch": 7.390223695111848,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013376745361897712,
+      "loss": 4.4317,
+      "mean_token_accuracy": 0.24068772196769714,
+      "num_tokens": 16265014.0,
+      "step": 8920
+    },
+    {
+      "entropy": 5.284948348999023,
+      "epoch": 7.394366197183099,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00013351883595595743,
+      "loss": 4.5167,
+      "mean_token_accuracy": 0.23356657475233078,
+      "num_tokens": 16273309.0,
+      "step": 8925
+    },
+    {
+      "entropy": 5.225611877441406,
+      "epoch": 7.39850869925435,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001332705036759065,
+      "loss": 4.4788,
+      "mean_token_accuracy": 0.22821299731731415,
+      "num_tokens": 16282129.0,
+      "step": 8930
+    },
+    {
+      "entropy": 5.155527019500733,
+      "epoch": 7.4026512013256,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0001330224572797377,
+      "loss": 4.4512,
+      "mean_token_accuracy": 0.2339691624045372,
+      "num_tokens": 16291208.0,
+      "step": 8935
+    },
+    {
+      "entropy": 5.221278285980224,
+      "epoch": 7.406793703396851,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00013277469726778756,
+      "loss": 4.4484,
+      "mean_token_accuracy": 0.2374333918094635,
+      "num_tokens": 16300111.0,
+      "step": 8940
+    },
+    {
+      "entropy": 5.253650236129761,
+      "epoch": 7.4109362054681025,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001325272241398153,
+      "loss": 4.4236,
+      "mean_token_accuracy": 0.24237828254699706,
+      "num_tokens": 16308653.0,
+      "step": 8945
+    },
+    {
+      "entropy": 5.303265380859375,
+      "epoch": 7.415078707539354,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013228003839500113,
+      "loss": 4.5048,
+      "mean_token_accuracy": 0.23030605614185334,
+      "num_tokens": 16317986.0,
+      "step": 8950
+    },
+    {
+      "entropy": 5.250785398483276,
+      "epoch": 7.419221209610605,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001320331405319458,
+      "loss": 4.4978,
+      "mean_token_accuracy": 0.23015536218881608,
+      "num_tokens": 16326889.0,
+      "step": 8955
+    },
+    {
+      "entropy": 5.175545310974121,
+      "epoch": 7.423363711681856,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013178653104866926,
+      "loss": 4.5135,
+      "mean_token_accuracy": 0.2249376356601715,
+      "num_tokens": 16336121.0,
+      "step": 8960
+    },
+    {
+      "entropy": 5.223824167251587,
+      "epoch": 7.427506213753107,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.00013154021044260966,
+      "loss": 4.5654,
+      "mean_token_accuracy": 0.22634392529726027,
+      "num_tokens": 16345216.0,
+      "step": 8965
+    },
+    {
+      "entropy": 5.167584037780761,
+      "epoch": 7.431648715824358,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00013129417921062275,
+      "loss": 4.4047,
+      "mean_token_accuracy": 0.24216125905513763,
+      "num_tokens": 16353735.0,
+      "step": 8970
+    },
+    {
+      "entropy": 5.213489151000976,
+      "epoch": 7.435791217895609,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001310484378489803,
+      "loss": 4.4363,
+      "mean_token_accuracy": 0.23906279355287552,
+      "num_tokens": 16362474.0,
+      "step": 8975
+    },
+    {
+      "entropy": 5.264641571044922,
+      "epoch": 7.43993371996686,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013080298685336957,
+      "loss": 4.5711,
+      "mean_token_accuracy": 0.22207222431898116,
+      "num_tokens": 16371948.0,
+      "step": 8980
+    },
+    {
+      "entropy": 5.193941831588745,
+      "epoch": 7.444076222038111,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00013055782671889205,
+      "loss": 4.4657,
+      "mean_token_accuracy": 0.23412289023399352,
+      "num_tokens": 16380849.0,
+      "step": 8985
+    },
+    {
+      "entropy": 5.256904029846192,
+      "epoch": 7.448218724109362,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0001303129579400624,
+      "loss": 4.5758,
+      "mean_token_accuracy": 0.21966907531023025,
+      "num_tokens": 16389495.0,
+      "step": 8990
+    },
+    {
+      "entropy": 5.242080307006836,
+      "epoch": 7.452361226180613,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001300683810108078,
+      "loss": 4.44,
+      "mean_token_accuracy": 0.23775164783000946,
+      "num_tokens": 16397744.0,
+      "step": 8995
+    },
+    {
+      "entropy": 5.198620891571045,
+      "epoch": 7.456503728251864,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0001298240964244666,
+      "loss": 4.4774,
+      "mean_token_accuracy": 0.22778769880533217,
+      "num_tokens": 16406785.0,
+      "step": 9000
+    },
+    {
+      "epoch": 7.456503728251864,
+      "eval_entropy": 5.137435206472238,
+      "eval_loss": 5.726848125457764,
+      "eval_mean_token_accuracy": 0.16911925307151351,
+      "eval_num_tokens": 16406785.0,
+      "eval_runtime": 2.7388,
+      "eval_samples_per_second": 1368.12,
+      "eval_steps_per_second": 171.243,
+      "step": 9000
+    },
+    {
+      "entropy": 5.236600065231324,
+      "epoch": 7.460646230323115,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001295801046737876,
+      "loss": 4.5195,
+      "mean_token_accuracy": 0.23866655230522155,
+      "num_tokens": 16415768.0,
+      "step": 9005
+    },
+    {
+      "entropy": 5.189950561523437,
+      "epoch": 7.464788732394366,
+      "grad_norm": 1.53125,
+      "learning_rate": 0.00012933640625092867,
+      "loss": 4.4701,
+      "mean_token_accuracy": 0.2334812819957733,
+      "num_tokens": 16424722.0,
+      "step": 9010
+    },
+    {
+      "entropy": 5.206139373779297,
+      "epoch": 7.468931234465617,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00012909300164745636,
+      "loss": 4.4532,
+      "mean_token_accuracy": 0.24083833396434784,
+      "num_tokens": 16433797.0,
+      "step": 9015
+    },
+    {
+      "entropy": 5.195779943466187,
+      "epoch": 7.473073736536868,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00012884989135434423,
+      "loss": 4.4113,
+      "mean_token_accuracy": 0.23783705085515977,
+      "num_tokens": 16442537.0,
+      "step": 9020
+    },
+    {
+      "entropy": 5.241878795623779,
+      "epoch": 7.477216238608119,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00012860707586197218,
+      "loss": 4.5289,
+      "mean_token_accuracy": 0.23057866245508193,
+      "num_tokens": 16451440.0,
+      "step": 9025
+    },
+    {
+      "entropy": 5.202231788635254,
+      "epoch": 7.4813587406793705,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00012836455566012586,
+      "loss": 4.5065,
+      "mean_token_accuracy": 0.22772400230169296,
+      "num_tokens": 16459358.0,
+      "step": 9030
+    },
+    {
+      "entropy": 5.1701904296875,
+      "epoch": 7.485501242750622,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00012812233123799481,
+      "loss": 4.3761,
+      "mean_token_accuracy": 0.24460603147745133,
+      "num_tokens": 16467584.0,
+      "step": 9035
+    },
+    {
+      "entropy": 5.232595682144165,
+      "epoch": 7.489643744821873,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00012788040308417232,
+      "loss": 4.5119,
+      "mean_token_accuracy": 0.22690969109535217,
+      "num_tokens": 16476674.0,
+      "step": 9040
+    },
+    {
+      "entropy": 5.18615756034851,
+      "epoch": 7.493786246893124,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00012763877168665383,
+      "loss": 4.3977,
+      "mean_token_accuracy": 0.23276474177837372,
+      "num_tokens": 16485422.0,
+      "step": 9045
+    },
+    {
+      "entropy": 5.259172058105468,
+      "epoch": 7.497928748964375,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00012739743753283617,
+      "loss": 4.594,
+      "mean_token_accuracy": 0.23090241551399232,
+      "num_tokens": 16494024.0,
+      "step": 9050
+    },
+    {
+      "entropy": 5.212364196777344,
+      "epoch": 7.502071251035625,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001271564011095169,
+      "loss": 4.567,
+      "mean_token_accuracy": 0.22396907359361648,
+      "num_tokens": 16503805.0,
+      "step": 9055
+    },
+    {
+      "entropy": 5.238067293167115,
+      "epoch": 7.506213753106876,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001269156629028927,
+      "loss": 4.5034,
+      "mean_token_accuracy": 0.22764867544174194,
+      "num_tokens": 16512559.0,
+      "step": 9060
+    },
+    {
+      "entropy": 5.283909463882447,
+      "epoch": 7.510356255178127,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.0001266752233985589,
+      "loss": 4.5421,
+      "mean_token_accuracy": 0.22903914898633956,
+      "num_tokens": 16521910.0,
+      "step": 9065
+    },
+    {
+      "entropy": 5.228765964508057,
+      "epoch": 7.514498757249378,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00012643508308150822,
+      "loss": 4.481,
+      "mean_token_accuracy": 0.23210673332214354,
+      "num_tokens": 16530802.0,
+      "step": 9070
+    },
+    {
+      "entropy": 5.175292682647705,
+      "epoch": 7.5186412593206295,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001261952424361299,
+      "loss": 4.4682,
+      "mean_token_accuracy": 0.2365036979317665,
+      "num_tokens": 16540519.0,
+      "step": 9075
+    },
+    {
+      "entropy": 5.187702560424805,
+      "epoch": 7.522783761391881,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0001259557019462088,
+      "loss": 4.4624,
+      "mean_token_accuracy": 0.22708640843629838,
+      "num_tokens": 16549433.0,
+      "step": 9080
+    },
+    {
+      "entropy": 5.2191469192504885,
+      "epoch": 7.526926263463132,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00012571646209492417,
+      "loss": 4.5106,
+      "mean_token_accuracy": 0.2241887181997299,
+      "num_tokens": 16558128.0,
+      "step": 9085
+    },
+    {
+      "entropy": 5.1911474704742435,
+      "epoch": 7.531068765534383,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00012547752336484908,
+      "loss": 4.4329,
+      "mean_token_accuracy": 0.2339310199022293,
+      "num_tokens": 16566636.0,
+      "step": 9090
+    },
+    {
+      "entropy": 5.222174024581909,
+      "epoch": 7.535211267605634,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00012523888623794892,
+      "loss": 4.4508,
+      "mean_token_accuracy": 0.22641565501689911,
+      "num_tokens": 16575036.0,
+      "step": 9095
+    },
+    {
+      "entropy": 5.18636269569397,
+      "epoch": 7.539353769676885,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.0001250005511955809,
+      "loss": 4.4813,
+      "mean_token_accuracy": 0.23633484840393065,
+      "num_tokens": 16584146.0,
+      "step": 9100
+    },
+    {
+      "entropy": 5.267010164260864,
+      "epoch": 7.543496271748136,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001247625187184929,
+      "loss": 4.5566,
+      "mean_token_accuracy": 0.23071260899305343,
+      "num_tokens": 16593915.0,
+      "step": 9105
+    },
+    {
+      "entropy": 5.261574983596802,
+      "epoch": 7.547638773819386,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.0001245247892868223,
+      "loss": 4.4222,
+      "mean_token_accuracy": 0.24024491608142853,
+      "num_tokens": 16601490.0,
+      "step": 9110
+    },
+    {
+      "entropy": 5.231517314910889,
+      "epoch": 7.551781275890638,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0001242873633800955,
+      "loss": 4.5248,
+      "mean_token_accuracy": 0.22314041405916213,
+      "num_tokens": 16610972.0,
+      "step": 9115
+    },
+    {
+      "entropy": 5.2491841316223145,
+      "epoch": 7.555923777961889,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00012405024147722643,
+      "loss": 4.4864,
+      "mean_token_accuracy": 0.22206981778144835,
+      "num_tokens": 16619388.0,
+      "step": 9120
+    },
+    {
+      "entropy": 5.113521718978882,
+      "epoch": 7.56006628003314,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001238134240565158,
+      "loss": 4.4453,
+      "mean_token_accuracy": 0.23808686733245848,
+      "num_tokens": 16628265.0,
+      "step": 9125
+    },
+    {
+      "entropy": 5.1795234203338625,
+      "epoch": 7.564208782104391,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0001235769115956504,
+      "loss": 4.4003,
+      "mean_token_accuracy": 0.24365673661231996,
+      "num_tokens": 16636809.0,
+      "step": 9130
+    },
+    {
+      "entropy": 5.292108011245728,
+      "epoch": 7.568351284175642,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00012334070457170151,
+      "loss": 4.5798,
+      "mean_token_accuracy": 0.22227199971675873,
+      "num_tokens": 16646084.0,
+      "step": 9135
+    },
+    {
+      "entropy": 5.296937656402588,
+      "epoch": 7.572493786246893,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00012310480346112472,
+      "loss": 4.611,
+      "mean_token_accuracy": 0.2216431438922882,
+      "num_tokens": 16656196.0,
+      "step": 9140
+    },
+    {
+      "entropy": 5.209884786605835,
+      "epoch": 7.576636288318144,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00012286920873975815,
+      "loss": 4.5105,
+      "mean_token_accuracy": 0.22829700261354446,
+      "num_tokens": 16665770.0,
+      "step": 9145
+    },
+    {
+      "entropy": 5.213883733749389,
+      "epoch": 7.580778790389395,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00012263392088282226,
+      "loss": 4.4418,
+      "mean_token_accuracy": 0.24046860188245772,
+      "num_tokens": 16674206.0,
+      "step": 9150
+    },
+    {
+      "entropy": 5.187081003189087,
+      "epoch": 7.584921292460646,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00012239894036491833,
+      "loss": 4.4749,
+      "mean_token_accuracy": 0.2309769421815872,
+      "num_tokens": 16683977.0,
+      "step": 9155
+    },
+    {
+      "entropy": 5.184215354919433,
+      "epoch": 7.5890637945318975,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.00012216426766002762,
+      "loss": 4.4464,
+      "mean_token_accuracy": 0.23352074921131133,
+      "num_tokens": 16693117.0,
+      "step": 9160
+    },
+    {
+      "entropy": 5.220042276382446,
+      "epoch": 7.593206296603149,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00012192990324151079,
+      "loss": 4.4633,
+      "mean_token_accuracy": 0.23336823433637618,
+      "num_tokens": 16701631.0,
+      "step": 9165
+    },
+    {
+      "entropy": 5.242423677444458,
+      "epoch": 7.5973487986744,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00012169584758210635,
+      "loss": 4.5412,
+      "mean_token_accuracy": 0.23175331354141235,
+      "num_tokens": 16710337.0,
+      "step": 9170
+    },
+    {
+      "entropy": 5.182403945922852,
+      "epoch": 7.60149130074565,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00012146210115393025,
+      "loss": 4.4635,
+      "mean_token_accuracy": 0.2343884065747261,
+      "num_tokens": 16719046.0,
+      "step": 9175
+    },
+    {
+      "entropy": 5.217220401763916,
+      "epoch": 7.605633802816901,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00012122866442847455,
+      "loss": 4.5145,
+      "mean_token_accuracy": 0.2259568005800247,
+      "num_tokens": 16727860.0,
+      "step": 9180
+    },
+    {
+      "entropy": 5.235024166107178,
+      "epoch": 7.609776304888152,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00012099553787660654,
+      "loss": 4.5803,
+      "mean_token_accuracy": 0.23205377757549286,
+      "num_tokens": 16737839.0,
+      "step": 9185
+    },
+    {
+      "entropy": 5.158119058609008,
+      "epoch": 7.613918806959403,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00012076272196856808,
+      "loss": 4.4573,
+      "mean_token_accuracy": 0.2307577461004257,
+      "num_tokens": 16746171.0,
+      "step": 9190
+    },
+    {
+      "entropy": 5.198251819610595,
+      "epoch": 7.618061309030654,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0001205302171739742,
+      "loss": 4.4448,
+      "mean_token_accuracy": 0.2381545603275299,
+      "num_tokens": 16755236.0,
+      "step": 9195
+    },
+    {
+      "entropy": 5.211521863937378,
+      "epoch": 7.6222038111019055,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00012029802396181256,
+      "loss": 4.4663,
+      "mean_token_accuracy": 0.2303634077310562,
+      "num_tokens": 16764126.0,
+      "step": 9200
+    },
+    {
+      "entropy": 5.242390394210815,
+      "epoch": 7.626346313173157,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00012006614280044225,
+      "loss": 4.5253,
+      "mean_token_accuracy": 0.2375326469540596,
+      "num_tokens": 16772861.0,
+      "step": 9205
+    },
+    {
+      "entropy": 5.234907102584839,
+      "epoch": 7.630488815244408,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00011983457415759274,
+      "loss": 4.5015,
+      "mean_token_accuracy": 0.23732417970895767,
+      "num_tokens": 16782119.0,
+      "step": 9210
+    },
+    {
+      "entropy": 5.261215591430664,
+      "epoch": 7.634631317315659,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.00011960331850036352,
+      "loss": 4.5405,
+      "mean_token_accuracy": 0.22217481583356857,
+      "num_tokens": 16790531.0,
+      "step": 9215
+    },
+    {
+      "entropy": 5.176897668838501,
+      "epoch": 7.63877381938691,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00011937237629522233,
+      "loss": 4.4532,
+      "mean_token_accuracy": 0.23413067758083345,
+      "num_tokens": 16799516.0,
+      "step": 9220
+    },
+    {
+      "entropy": 5.238109970092774,
+      "epoch": 7.642916321458161,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00011914174800800501,
+      "loss": 4.502,
+      "mean_token_accuracy": 0.2298160970211029,
+      "num_tokens": 16807830.0,
+      "step": 9225
+    },
+    {
+      "entropy": 5.269895887374878,
+      "epoch": 7.647058823529412,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00011891143410391387,
+      "loss": 4.565,
+      "mean_token_accuracy": 0.22582002878189086,
+      "num_tokens": 16816987.0,
+      "step": 9230
+    },
+    {
+      "entropy": 5.18939995765686,
+      "epoch": 7.651201325600663,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00011868143504751732,
+      "loss": 4.3949,
+      "mean_token_accuracy": 0.23891554325819014,
+      "num_tokens": 16825723.0,
+      "step": 9235
+    },
+    {
+      "entropy": 5.219127750396728,
+      "epoch": 7.6553438276719135,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00011845175130274848,
+      "loss": 4.5034,
+      "mean_token_accuracy": 0.23103347569704055,
+      "num_tokens": 16835429.0,
+      "step": 9240
+    },
+    {
+      "entropy": 5.194927597045899,
+      "epoch": 7.659486329743165,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011822238333290475,
+      "loss": 4.4327,
+      "mean_token_accuracy": 0.24837690144777297,
+      "num_tokens": 16844693.0,
+      "step": 9245
+    },
+    {
+      "entropy": 5.20636739730835,
+      "epoch": 7.663628831814416,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00011799333160064617,
+      "loss": 4.4855,
+      "mean_token_accuracy": 0.23225704431533814,
+      "num_tokens": 16853058.0,
+      "step": 9250
+    },
+    {
+      "entropy": 5.287894773483276,
+      "epoch": 7.667771333885667,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0001177645965679953,
+      "loss": 4.5412,
+      "mean_token_accuracy": 0.2231143057346344,
+      "num_tokens": 16863017.0,
+      "step": 9255
+    },
+    {
+      "entropy": 5.163079929351807,
+      "epoch": 7.671913835956918,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00011753617869633561,
+      "loss": 4.4049,
+      "mean_token_accuracy": 0.23928526490926744,
+      "num_tokens": 16872054.0,
+      "step": 9260
+    },
+    {
+      "entropy": 5.2851978778839115,
+      "epoch": 7.676056338028169,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00011730807844641085,
+      "loss": 4.5402,
+      "mean_token_accuracy": 0.2318034812808037,
+      "num_tokens": 16881554.0,
+      "step": 9265
+    },
+    {
+      "entropy": 5.190302848815918,
+      "epoch": 7.68019884009942,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00011708029627832431,
+      "loss": 4.5038,
+      "mean_token_accuracy": 0.23283302932977676,
+      "num_tokens": 16890050.0,
+      "step": 9270
+    },
+    {
+      "entropy": 5.259742593765258,
+      "epoch": 7.684341342170671,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00011685283265153732,
+      "loss": 4.4511,
+      "mean_token_accuracy": 0.2353460371494293,
+      "num_tokens": 16899298.0,
+      "step": 9275
+    },
+    {
+      "entropy": 5.3122483253479,
+      "epoch": 7.688483844241922,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00011662568802486905,
+      "loss": 4.5545,
+      "mean_token_accuracy": 0.22228943407535554,
+      "num_tokens": 16908227.0,
+      "step": 9280
+    },
+    {
+      "entropy": 5.272556734085083,
+      "epoch": 7.692626346313173,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00011639886285649489,
+      "loss": 4.5396,
+      "mean_token_accuracy": 0.22207894474267958,
+      "num_tokens": 16917708.0,
+      "step": 9285
+    },
+    {
+      "entropy": 5.160271692276001,
+      "epoch": 7.6967688483844245,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00011617235760394614,
+      "loss": 4.3672,
+      "mean_token_accuracy": 0.25004381984472274,
+      "num_tokens": 16926108.0,
+      "step": 9290
+    },
+    {
+      "entropy": 5.235444402694702,
+      "epoch": 7.700911350455675,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001159461727241085,
+      "loss": 4.4974,
+      "mean_token_accuracy": 0.22936034947633743,
+      "num_tokens": 16935821.0,
+      "step": 9295
+    },
+    {
+      "entropy": 5.198528051376343,
+      "epoch": 7.705053852526927,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001157203086732217,
+      "loss": 4.5459,
+      "mean_token_accuracy": 0.22811468094587325,
+      "num_tokens": 16944899.0,
+      "step": 9300
+    },
+    {
+      "entropy": 5.187997674942016,
+      "epoch": 7.709196354598177,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00011549476590687811,
+      "loss": 4.4804,
+      "mean_token_accuracy": 0.23926871865987778,
+      "num_tokens": 16953745.0,
+      "step": 9305
+    },
+    {
+      "entropy": 5.313058137893677,
+      "epoch": 7.713338856669428,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00011526954488002227,
+      "loss": 4.5838,
+      "mean_token_accuracy": 0.22520019114017487,
+      "num_tokens": 16962940.0,
+      "step": 9310
+    },
+    {
+      "entropy": 5.229482698440552,
+      "epoch": 7.717481358740679,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00011504464604694953,
+      "loss": 4.4865,
+      "mean_token_accuracy": 0.23147685676813126,
+      "num_tokens": 16971322.0,
+      "step": 9315
+    },
+    {
+      "entropy": 5.245448875427246,
+      "epoch": 7.72162386081193,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00011482006986130533,
+      "loss": 4.4294,
+      "mean_token_accuracy": 0.23540343344211578,
+      "num_tokens": 16980066.0,
+      "step": 9320
+    },
+    {
+      "entropy": 5.247683668136597,
+      "epoch": 7.725766362883181,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00011459581677608453,
+      "loss": 4.5173,
+      "mean_token_accuracy": 0.2335611492395401,
+      "num_tokens": 16989202.0,
+      "step": 9325
+    },
+    {
+      "entropy": 5.193714046478272,
+      "epoch": 7.7299088649544325,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00011437188724362997,
+      "loss": 4.5308,
+      "mean_token_accuracy": 0.22125924676656722,
+      "num_tokens": 16999267.0,
+      "step": 9330
+    },
+    {
+      "entropy": 5.173966312408448,
+      "epoch": 7.734051367025684,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00011414828171563214,
+      "loss": 4.4961,
+      "mean_token_accuracy": 0.2306640401482582,
+      "num_tokens": 17008252.0,
+      "step": 9335
+    },
+    {
+      "entropy": 5.222964191436768,
+      "epoch": 7.738193869096935,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00011392500064312773,
+      "loss": 4.4861,
+      "mean_token_accuracy": 0.23044844567775727,
+      "num_tokens": 17017568.0,
+      "step": 9340
+    },
+    {
+      "entropy": 5.249899530410767,
+      "epoch": 7.742336371168186,
+      "grad_norm": 1.578125,
+      "learning_rate": 0.000113702044476499,
+      "loss": 4.4943,
+      "mean_token_accuracy": 0.2308612123131752,
+      "num_tokens": 17026206.0,
+      "step": 9345
+    },
+    {
+      "entropy": 5.2420073509216305,
+      "epoch": 7.746478873239437,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00011347941366547303,
+      "loss": 4.4643,
+      "mean_token_accuracy": 0.23350251317024232,
+      "num_tokens": 17035114.0,
+      "step": 9350
+    },
+    {
+      "entropy": 5.238725233078003,
+      "epoch": 7.750621375310688,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001132571086591204,
+      "loss": 4.5356,
+      "mean_token_accuracy": 0.2302680641412735,
+      "num_tokens": 17044459.0,
+      "step": 9355
+    },
+    {
+      "entropy": 5.248926877975464,
+      "epoch": 7.754763877381938,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001130351299058547,
+      "loss": 4.5629,
+      "mean_token_accuracy": 0.220232954621315,
+      "num_tokens": 17053985.0,
+      "step": 9360
+    },
+    {
+      "entropy": 5.184970664978027,
+      "epoch": 7.758906379453189,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00011281347785343127,
+      "loss": 4.3551,
+      "mean_token_accuracy": 0.24387124329805374,
+      "num_tokens": 17063136.0,
+      "step": 9365
+    },
+    {
+      "entropy": 5.232142210006714,
+      "epoch": 7.7630488815244405,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00011259215294894647,
+      "loss": 4.5255,
+      "mean_token_accuracy": 0.22341912239789963,
+      "num_tokens": 17072423.0,
+      "step": 9370
+    },
+    {
+      "entropy": 5.20652437210083,
+      "epoch": 7.767191383595692,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00011237115563883693,
+      "loss": 4.4755,
+      "mean_token_accuracy": 0.23369871973991393,
+      "num_tokens": 17080578.0,
+      "step": 9375
+    },
+    {
+      "entropy": 5.195418119430542,
+      "epoch": 7.771333885666943,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00011215048636887825,
+      "loss": 4.4118,
+      "mean_token_accuracy": 0.24118203073740005,
+      "num_tokens": 17089995.0,
+      "step": 9380
+    },
+    {
+      "entropy": 5.147100353240967,
+      "epoch": 7.775476387738194,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001119301455841846,
+      "loss": 4.4097,
+      "mean_token_accuracy": 0.2331821948289871,
+      "num_tokens": 17099659.0,
+      "step": 9385
+    },
+    {
+      "entropy": 5.245456647872925,
+      "epoch": 7.779618889809445,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00011171013372920735,
+      "loss": 4.5308,
+      "mean_token_accuracy": 0.2302419975399971,
+      "num_tokens": 17109972.0,
+      "step": 9390
+    },
+    {
+      "entropy": 5.282257461547852,
+      "epoch": 7.783761391880696,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00011149045124773441,
+      "loss": 4.617,
+      "mean_token_accuracy": 0.2195971965789795,
+      "num_tokens": 17120288.0,
+      "step": 9395
+    },
+    {
+      "entropy": 5.251280069351196,
+      "epoch": 7.787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00011127109858288945,
+      "loss": 4.5275,
+      "mean_token_accuracy": 0.23744001388549804,
+      "num_tokens": 17130577.0,
+      "step": 9400
+    },
+    {
+      "entropy": 5.277375173568726,
+      "epoch": 7.792046396023198,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00011105207617713065,
+      "loss": 4.5846,
+      "mean_token_accuracy": 0.22438258528709412,
+      "num_tokens": 17140782.0,
+      "step": 9405
+    },
+    {
+      "entropy": 5.172359895706177,
+      "epoch": 7.796188898094449,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00011083338447225027,
+      "loss": 4.4852,
+      "mean_token_accuracy": 0.22962091118097305,
+      "num_tokens": 17150013.0,
+      "step": 9410
+    },
+    {
+      "entropy": 5.282632112503052,
+      "epoch": 7.8003314001657,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00011061502390937331,
+      "loss": 4.5287,
+      "mean_token_accuracy": 0.22322992384433746,
+      "num_tokens": 17159349.0,
+      "step": 9415
+    },
+    {
+      "entropy": 5.277588748931885,
+      "epoch": 7.804473902236952,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.0001103969949289568,
+      "loss": 4.5575,
+      "mean_token_accuracy": 0.23068788200616835,
+      "num_tokens": 17168063.0,
+      "step": 9420
+    },
+    {
+      "entropy": 5.27054352760315,
+      "epoch": 7.808616404308202,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00011017929797078919,
+      "loss": 4.5128,
+      "mean_token_accuracy": 0.22348960638046264,
+      "num_tokens": 17177087.0,
+      "step": 9425
+    },
+    {
+      "entropy": 5.23571743965149,
+      "epoch": 7.812758906379453,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00010996193347398886,
+      "loss": 4.4804,
+      "mean_token_accuracy": 0.2383258655667305,
+      "num_tokens": 17186875.0,
+      "step": 9430
+    },
+    {
+      "entropy": 5.23639702796936,
+      "epoch": 7.816901408450704,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00010974490187700394,
+      "loss": 4.5367,
+      "mean_token_accuracy": 0.2227595865726471,
+      "num_tokens": 17195666.0,
+      "step": 9435
+    },
+    {
+      "entropy": 5.224313688278198,
+      "epoch": 7.821043910521955,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0001095282036176107,
+      "loss": 4.4819,
+      "mean_token_accuracy": 0.22626830786466598,
+      "num_tokens": 17205145.0,
+      "step": 9440
+    },
+    {
+      "entropy": 5.25811996459961,
+      "epoch": 7.825186412593206,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00010931183913291335,
+      "loss": 4.5312,
+      "mean_token_accuracy": 0.2275287076830864,
+      "num_tokens": 17214106.0,
+      "step": 9445
+    },
+    {
+      "entropy": 5.185547399520874,
+      "epoch": 7.829328914664457,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00010909580885934265,
+      "loss": 4.3977,
+      "mean_token_accuracy": 0.24248179346323012,
+      "num_tokens": 17223343.0,
+      "step": 9450
+    },
+    {
+      "entropy": 5.235095453262329,
+      "epoch": 7.8334714167357085,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00010888011323265517,
+      "loss": 4.5538,
+      "mean_token_accuracy": 0.22286391854286194,
+      "num_tokens": 17233528.0,
+      "step": 9455
+    },
+    {
+      "entropy": 5.166561889648437,
+      "epoch": 7.83761391880696,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00010866475268793275,
+      "loss": 4.417,
+      "mean_token_accuracy": 0.23417006582021713,
+      "num_tokens": 17242026.0,
+      "step": 9460
+    },
+    {
+      "entropy": 5.164305257797241,
+      "epoch": 7.841756420878211,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00010844972765958096,
+      "loss": 4.4521,
+      "mean_token_accuracy": 0.23989777714014054,
+      "num_tokens": 17251203.0,
+      "step": 9465
+    },
+    {
+      "entropy": 5.134662532806397,
+      "epoch": 7.845898922949462,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00010823503858132894,
+      "loss": 4.3833,
+      "mean_token_accuracy": 0.23944269567728044,
+      "num_tokens": 17260072.0,
+      "step": 9470
+    },
+    {
+      "entropy": 5.221753406524658,
+      "epoch": 7.850041425020713,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00010802068588622793,
+      "loss": 4.515,
+      "mean_token_accuracy": 0.23257962763309478,
+      "num_tokens": 17269015.0,
+      "step": 9475
+    },
+    {
+      "entropy": 5.2019994258880615,
+      "epoch": 7.854183927091963,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00010780667000665067,
+      "loss": 4.4506,
+      "mean_token_accuracy": 0.24606569111347198,
+      "num_tokens": 17277721.0,
+      "step": 9480
+    },
+    {
+      "entropy": 5.219488096237183,
+      "epoch": 7.858326429163214,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00010759299137429073,
+      "loss": 4.5167,
+      "mean_token_accuracy": 0.2341366305947304,
+      "num_tokens": 17286805.0,
+      "step": 9485
+    },
+    {
+      "entropy": 5.258726453781128,
+      "epoch": 7.862468931234465,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00010737965042016116,
+      "loss": 4.5958,
+      "mean_token_accuracy": 0.22132833003997804,
+      "num_tokens": 17297577.0,
+      "step": 9490
+    },
+    {
+      "entropy": 5.259564542770386,
+      "epoch": 7.866611433305716,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00010716664757459404,
+      "loss": 4.4898,
+      "mean_token_accuracy": 0.2290081799030304,
+      "num_tokens": 17306620.0,
+      "step": 9495
+    },
+    {
+      "entropy": 5.2478546619415285,
+      "epoch": 7.8707539353769675,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00010695398326723938,
+      "loss": 4.5186,
+      "mean_token_accuracy": 0.22088584303855896,
+      "num_tokens": 17314796.0,
+      "step": 9500
+    },
+    {
+      "epoch": 7.8707539353769675,
+      "eval_entropy": 5.124833188331458,
+      "eval_loss": 5.722036838531494,
+      "eval_mean_token_accuracy": 0.16973218553737282,
+      "eval_num_tokens": 17314796.0,
+      "eval_runtime": 2.7518,
+      "eval_samples_per_second": 1361.662,
+      "eval_steps_per_second": 170.435,
+      "step": 9500
+    },
+    {
+      "entropy": 5.254538726806641,
+      "epoch": 7.874896437448219,
+      "grad_norm": 1.59375,
+      "learning_rate": 0.00010674165792706423,
+      "loss": 4.5362,
+      "mean_token_accuracy": 0.2321956381201744,
+      "num_tokens": 17324048.0,
+      "step": 9505
+    },
+    {
+      "entropy": 5.231704330444336,
+      "epoch": 7.87903893951947,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00010652967198235214,
+      "loss": 4.5016,
+      "mean_token_accuracy": 0.22966693341732025,
+      "num_tokens": 17333354.0,
+      "step": 9510
+    },
+    {
+      "entropy": 5.187391471862793,
+      "epoch": 7.883181441590721,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001063180258607018,
+      "loss": 4.4236,
+      "mean_token_accuracy": 0.24541445523500444,
+      "num_tokens": 17343026.0,
+      "step": 9515
+    },
+    {
+      "entropy": 5.156158971786499,
+      "epoch": 7.887323943661972,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00010610671998902671,
+      "loss": 4.3988,
+      "mean_token_accuracy": 0.2460971713066101,
+      "num_tokens": 17351161.0,
+      "step": 9520
+    },
+    {
+      "entropy": 5.217752170562744,
+      "epoch": 7.891466445733223,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00010589575479355379,
+      "loss": 4.4439,
+      "mean_token_accuracy": 0.23356560468673707,
+      "num_tokens": 17360697.0,
+      "step": 9525
+    },
+    {
+      "entropy": 5.239214277267456,
+      "epoch": 7.895608947804474,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00010568513069982289,
+      "loss": 4.52,
+      "mean_token_accuracy": 0.22984081357717515,
+      "num_tokens": 17370303.0,
+      "step": 9530
+    },
+    {
+      "entropy": 5.209999418258667,
+      "epoch": 7.899751449875725,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00010547484813268594,
+      "loss": 4.4913,
+      "mean_token_accuracy": 0.2257639542222023,
+      "num_tokens": 17379557.0,
+      "step": 9535
+    },
+    {
+      "entropy": 5.242380571365357,
+      "epoch": 7.903893951946976,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00010526490751630568,
+      "loss": 4.5388,
+      "mean_token_accuracy": 0.2311421036720276,
+      "num_tokens": 17388206.0,
+      "step": 9540
+    },
+    {
+      "entropy": 5.27910270690918,
+      "epoch": 7.908036454018227,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00010505530927415544,
+      "loss": 4.5921,
+      "mean_token_accuracy": 0.22979632169008254,
+      "num_tokens": 17398055.0,
+      "step": 9545
+    },
+    {
+      "entropy": 5.15529146194458,
+      "epoch": 7.912178956089478,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00010484605382901772,
+      "loss": 4.3899,
+      "mean_token_accuracy": 0.2327595457434654,
+      "num_tokens": 17407214.0,
+      "step": 9550
+    },
+    {
+      "entropy": 5.2571430683135985,
+      "epoch": 7.916321458160729,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00010463714160298354,
+      "loss": 4.5125,
+      "mean_token_accuracy": 0.23076227605342864,
+      "num_tokens": 17416447.0,
+      "step": 9555
+    },
+    {
+      "entropy": 5.230874300003052,
+      "epoch": 7.92046396023198,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.00010442857301745184,
+      "loss": 4.5231,
+      "mean_token_accuracy": 0.22791534811258315,
+      "num_tokens": 17424921.0,
+      "step": 9560
+    },
+    {
+      "entropy": 5.141931629180908,
+      "epoch": 7.924606462303231,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0001042203484931281,
+      "loss": 4.3655,
+      "mean_token_accuracy": 0.2378263220191002,
+      "num_tokens": 17434425.0,
+      "step": 9565
+    },
+    {
+      "entropy": 5.186363983154297,
+      "epoch": 7.928748964374482,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00010401246845002407,
+      "loss": 4.4757,
+      "mean_token_accuracy": 0.23377338647842408,
+      "num_tokens": 17443879.0,
+      "step": 9570
+    },
+    {
+      "entropy": 5.210091876983642,
+      "epoch": 7.932891466445733,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00010380493330745641,
+      "loss": 4.4587,
+      "mean_token_accuracy": 0.23192314356565474,
+      "num_tokens": 17452276.0,
+      "step": 9575
+    },
+    {
+      "entropy": 5.215310287475586,
+      "epoch": 7.937033968516984,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00010359774348404626,
+      "loss": 4.4939,
+      "mean_token_accuracy": 0.23562314212322236,
+      "num_tokens": 17460706.0,
+      "step": 9580
+    },
+    {
+      "entropy": 5.224613237380981,
+      "epoch": 7.9411764705882355,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.00010339089939771814,
+      "loss": 4.5236,
+      "mean_token_accuracy": 0.23302816599607468,
+      "num_tokens": 17469754.0,
+      "step": 9585
+    },
+    {
+      "entropy": 5.229640674591065,
+      "epoch": 7.945318972659487,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00010318440146569904,
+      "loss": 4.6337,
+      "mean_token_accuracy": 0.21704740524291993,
+      "num_tokens": 17480057.0,
+      "step": 9590
+    },
+    {
+      "entropy": 5.159609174728393,
+      "epoch": 7.949461474730738,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00010297825010451806,
+      "loss": 4.4828,
+      "mean_token_accuracy": 0.2280757188796997,
+      "num_tokens": 17490427.0,
+      "step": 9595
+    },
+    {
+      "entropy": 5.2409614562988285,
+      "epoch": 7.953603976801988,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001027724457300048,
+      "loss": 4.5002,
+      "mean_token_accuracy": 0.22425992041826248,
+      "num_tokens": 17499105.0,
+      "step": 9600
+    },
+    {
+      "entropy": 5.23765196800232,
+      "epoch": 7.957746478873239,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00010256698875728938,
+      "loss": 4.547,
+      "mean_token_accuracy": 0.22590158581733705,
+      "num_tokens": 17508499.0,
+      "step": 9605
+    },
+    {
+      "entropy": 5.163430261611938,
+      "epoch": 7.96188898094449,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00010236187960080084,
+      "loss": 4.4222,
+      "mean_token_accuracy": 0.23525544255971909,
+      "num_tokens": 17516885.0,
+      "step": 9610
+    },
+    {
+      "entropy": 5.1939342498779295,
+      "epoch": 7.966031483015741,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00010215711867426678,
+      "loss": 4.4244,
+      "mean_token_accuracy": 0.23281094878911973,
+      "num_tokens": 17524958.0,
+      "step": 9615
+    },
+    {
+      "entropy": 5.214349365234375,
+      "epoch": 7.970173985086992,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00010195270639071243,
+      "loss": 4.5069,
+      "mean_token_accuracy": 0.2273066148161888,
+      "num_tokens": 17534185.0,
+      "step": 9620
+    },
+    {
+      "entropy": 5.249651336669922,
+      "epoch": 7.9743164871582435,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001017486431624596,
+      "loss": 4.5279,
+      "mean_token_accuracy": 0.23122728317976,
+      "num_tokens": 17542696.0,
+      "step": 9625
+    },
+    {
+      "entropy": 5.185487270355225,
+      "epoch": 7.978458989229495,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00010154492940112624,
+      "loss": 4.4113,
+      "mean_token_accuracy": 0.24716590344905853,
+      "num_tokens": 17552751.0,
+      "step": 9630
+    },
+    {
+      "entropy": 5.29529037475586,
+      "epoch": 7.982601491300746,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00010134156551762519,
+      "loss": 4.5379,
+      "mean_token_accuracy": 0.2170561745762825,
+      "num_tokens": 17561973.0,
+      "step": 9635
+    },
+    {
+      "entropy": 5.267471647262573,
+      "epoch": 7.986743993371997,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00010113855192216359,
+      "loss": 4.5527,
+      "mean_token_accuracy": 0.2246631383895874,
+      "num_tokens": 17571238.0,
+      "step": 9640
+    },
+    {
+      "entropy": 5.232839488983155,
+      "epoch": 7.990886495443248,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00010093588902424217,
+      "loss": 4.4622,
+      "mean_token_accuracy": 0.23793471455574036,
+      "num_tokens": 17580189.0,
+      "step": 9645
+    },
+    {
+      "entropy": 5.242947244644165,
+      "epoch": 7.995028997514499,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00010073357723265398,
+      "loss": 4.5355,
+      "mean_token_accuracy": 0.22305892258882523,
+      "num_tokens": 17590051.0,
+      "step": 9650
+    },
+    {
+      "entropy": 5.258848190307617,
+      "epoch": 7.99917149958575,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00010053161695548418,
+      "loss": 4.5267,
+      "mean_token_accuracy": 0.22477346956729888,
+      "num_tokens": 17599036.0,
+      "step": 9655
+    },
+    {
+      "entropy": 5.2261518955230715,
+      "epoch": 8.003314001657001,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00010033000860010866,
+      "loss": 4.407,
+      "mean_token_accuracy": 0.2392567962408066,
+      "num_tokens": 17608433.0,
+      "step": 9660
+    },
+    {
+      "entropy": 5.227947092056274,
+      "epoch": 8.007456503728251,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001001287525731934,
+      "loss": 4.4214,
+      "mean_token_accuracy": 0.23113029599189758,
+      "num_tokens": 17617696.0,
+      "step": 9665
+    },
+    {
+      "entropy": 5.220786905288696,
+      "epoch": 8.011599005799503,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.992784928069397e-05,
+      "loss": 4.4613,
+      "mean_token_accuracy": 0.23347013741731643,
+      "num_tokens": 17626619.0,
+      "step": 9670
+    },
+    {
+      "entropy": 5.207056665420533,
+      "epoch": 8.015741507870754,
+      "grad_norm": 1.453125,
+      "learning_rate": 9.972729912785411e-05,
+      "loss": 4.3419,
+      "mean_token_accuracy": 0.24283643662929535,
+      "num_tokens": 17635306.0,
+      "step": 9675
+    },
+    {
+      "entropy": 5.166647005081177,
+      "epoch": 8.019884009942006,
+      "grad_norm": 1.5703125,
+      "learning_rate": 9.95271025192055e-05,
+      "loss": 4.3254,
+      "mean_token_accuracy": 0.24794788360595704,
+      "num_tokens": 17643526.0,
+      "step": 9680
+    },
+    {
+      "entropy": 5.258458948135376,
+      "epoch": 8.024026512013256,
+      "grad_norm": 1.484375,
+      "learning_rate": 9.93272598585665e-05,
+      "loss": 4.5109,
+      "mean_token_accuracy": 0.22621739655733109,
+      "num_tokens": 17652474.0,
+      "step": 9685
+    },
+    {
+      "entropy": 5.182386016845703,
+      "epoch": 8.028169014084508,
+      "grad_norm": 1.3828125,
+      "learning_rate": 9.912777154904171e-05,
+      "loss": 4.4387,
+      "mean_token_accuracy": 0.2345404177904129,
+      "num_tokens": 17662025.0,
+      "step": 9690
+    },
+    {
+      "entropy": 5.121964597702027,
+      "epoch": 8.032311516155758,
+      "grad_norm": 1.40625,
+      "learning_rate": 9.89286379930207e-05,
+      "loss": 4.3627,
+      "mean_token_accuracy": 0.24598751664161683,
+      "num_tokens": 17670908.0,
+      "step": 9695
+    },
+    {
+      "entropy": 5.156725072860718,
+      "epoch": 8.036454018227008,
+      "grad_norm": 1.375,
+      "learning_rate": 9.872985959217779e-05,
+      "loss": 4.3483,
+      "mean_token_accuracy": 0.25048859864473344,
+      "num_tokens": 17681242.0,
+      "step": 9700
+    },
+    {
+      "entropy": 5.181863164901733,
+      "epoch": 8.04059652029826,
+      "grad_norm": 1.4921875,
+      "learning_rate": 9.853143674747053e-05,
+      "loss": 4.3156,
+      "mean_token_accuracy": 0.2496207669377327,
+      "num_tokens": 17689816.0,
+      "step": 9705
+    },
+    {
+      "entropy": 5.230922269821167,
+      "epoch": 8.04473902236951,
+      "grad_norm": 1.3984375,
+      "learning_rate": 9.833336985913965e-05,
+      "loss": 4.4079,
+      "mean_token_accuracy": 0.24356723576784134,
+      "num_tokens": 17699251.0,
+      "step": 9710
+    },
+    {
+      "entropy": 5.25123929977417,
+      "epoch": 8.048881524440763,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.813565932670767e-05,
+      "loss": 4.446,
+      "mean_token_accuracy": 0.24057540595531463,
+      "num_tokens": 17708906.0,
+      "step": 9715
+    },
+    {
+      "entropy": 5.302001190185547,
+      "epoch": 8.053024026512013,
+      "grad_norm": 1.4375,
+      "learning_rate": 9.793830554897826e-05,
+      "loss": 4.4337,
+      "mean_token_accuracy": 0.23162751942873,
+      "num_tokens": 17718071.0,
+      "step": 9720
+    },
+    {
+      "entropy": 5.1823859214782715,
+      "epoch": 8.057166528583265,
+      "grad_norm": 1.3515625,
+      "learning_rate": 9.774130892403566e-05,
+      "loss": 4.3382,
+      "mean_token_accuracy": 0.24795254766941072,
+      "num_tokens": 17727690.0,
+      "step": 9725
+    },
+    {
+      "entropy": 5.172320461273193,
+      "epoch": 8.061309030654515,
+      "grad_norm": 1.484375,
+      "learning_rate": 9.754466984924348e-05,
+      "loss": 4.3471,
+      "mean_token_accuracy": 0.2395310789346695,
+      "num_tokens": 17735934.0,
+      "step": 9730
+    },
+    {
+      "entropy": 5.17168607711792,
+      "epoch": 8.065451532725767,
+      "grad_norm": 1.4609375,
+      "learning_rate": 9.734838872124432e-05,
+      "loss": 4.3454,
+      "mean_token_accuracy": 0.24042212218046188,
+      "num_tokens": 17744323.0,
+      "step": 9735
+    },
+    {
+      "entropy": 5.1320466041564945,
+      "epoch": 8.069594034797017,
+      "grad_norm": 1.3515625,
+      "learning_rate": 9.715246593595859e-05,
+      "loss": 4.3431,
+      "mean_token_accuracy": 0.24951379895210266,
+      "num_tokens": 17753335.0,
+      "step": 9740
+    },
+    {
+      "entropy": 5.1748122215271,
+      "epoch": 8.07373653686827,
+      "grad_norm": 1.4609375,
+      "learning_rate": 9.695690188858408e-05,
+      "loss": 4.3963,
+      "mean_token_accuracy": 0.24002762883901596,
+      "num_tokens": 17761952.0,
+      "step": 9745
+    },
+    {
+      "entropy": 5.260321378707886,
+      "epoch": 8.07787903893952,
+      "grad_norm": 1.4765625,
+      "learning_rate": 9.676169697359469e-05,
+      "loss": 4.4649,
+      "mean_token_accuracy": 0.24228229522705078,
+      "num_tokens": 17771341.0,
+      "step": 9750
+    },
+    {
+      "entropy": 5.1761212825775145,
+      "epoch": 8.08202154101077,
+      "grad_norm": 1.328125,
+      "learning_rate": 9.656685158474018e-05,
+      "loss": 4.3596,
+      "mean_token_accuracy": 0.24516458809375763,
+      "num_tokens": 17780289.0,
+      "step": 9755
+    },
+    {
+      "entropy": 5.217165899276734,
+      "epoch": 8.086164043082022,
+      "grad_norm": 1.546875,
+      "learning_rate": 9.63723661150449e-05,
+      "loss": 4.4392,
+      "mean_token_accuracy": 0.23620954900979996,
+      "num_tokens": 17789317.0,
+      "step": 9760
+    },
+    {
+      "entropy": 5.302271842956543,
+      "epoch": 8.090306545153272,
+      "grad_norm": 1.515625,
+      "learning_rate": 9.617824095680742e-05,
+      "loss": 4.4804,
+      "mean_token_accuracy": 0.2370125576853752,
+      "num_tokens": 17797875.0,
+      "step": 9765
+    },
+    {
+      "entropy": 5.219267177581787,
+      "epoch": 8.094449047224524,
+      "grad_norm": 1.3203125,
+      "learning_rate": 9.598447650159931e-05,
+      "loss": 4.4245,
+      "mean_token_accuracy": 0.24013179689645767,
+      "num_tokens": 17806603.0,
+      "step": 9770
+    },
+    {
+      "entropy": 5.327665138244629,
+      "epoch": 8.098591549295774,
+      "grad_norm": 1.46875,
+      "learning_rate": 9.579107314026459e-05,
+      "loss": 4.5079,
+      "mean_token_accuracy": 0.22462410479784012,
+      "num_tokens": 17815747.0,
+      "step": 9775
+    },
+    {
+      "entropy": 5.211456394195556,
+      "epoch": 8.102734051367026,
+      "grad_norm": 1.359375,
+      "learning_rate": 9.559803126291911e-05,
+      "loss": 4.3642,
+      "mean_token_accuracy": 0.23971107304096223,
+      "num_tokens": 17824568.0,
+      "step": 9780
+    },
+    {
+      "entropy": 5.275164175033569,
+      "epoch": 8.106876553438276,
+      "grad_norm": 1.390625,
+      "learning_rate": 9.540535125894931e-05,
+      "loss": 4.4685,
+      "mean_token_accuracy": 0.24380181431770326,
+      "num_tokens": 17834244.0,
+      "step": 9785
+    },
+    {
+      "entropy": 5.198601388931275,
+      "epoch": 8.111019055509528,
+      "grad_norm": 1.46875,
+      "learning_rate": 9.521303351701193e-05,
+      "loss": 4.3476,
+      "mean_token_accuracy": 0.24773648232221604,
+      "num_tokens": 17843285.0,
+      "step": 9790
+    },
+    {
+      "entropy": 5.232069730758667,
+      "epoch": 8.115161557580779,
+      "grad_norm": 1.390625,
+      "learning_rate": 9.502107842503282e-05,
+      "loss": 4.4455,
+      "mean_token_accuracy": 0.24342902153730392,
+      "num_tokens": 17852379.0,
+      "step": 9795
+    },
+    {
+      "entropy": 5.213220930099487,
+      "epoch": 8.11930405965203,
+      "grad_norm": 1.4375,
+      "learning_rate": 9.48294863702063e-05,
+      "loss": 4.3962,
+      "mean_token_accuracy": 0.24655861258506775,
+      "num_tokens": 17861948.0,
+      "step": 9800
+    },
+    {
+      "entropy": 5.206108331680298,
+      "epoch": 8.12344656172328,
+      "grad_norm": 1.40625,
+      "learning_rate": 9.463825773899465e-05,
+      "loss": 4.3549,
+      "mean_token_accuracy": 0.24822819530963897,
+      "num_tokens": 17870445.0,
+      "step": 9805
+    },
+    {
+      "entropy": 5.2526586055755615,
+      "epoch": 8.127589063794533,
+      "grad_norm": 1.3984375,
+      "learning_rate": 9.444739291712673e-05,
+      "loss": 4.4184,
+      "mean_token_accuracy": 0.2502383813261986,
+      "num_tokens": 17879380.0,
+      "step": 9810
+    },
+    {
+      "entropy": 5.200527477264404,
+      "epoch": 8.131731565865783,
+      "grad_norm": 1.3671875,
+      "learning_rate": 9.425689228959791e-05,
+      "loss": 4.4375,
+      "mean_token_accuracy": 0.23672084957361222,
+      "num_tokens": 17888631.0,
+      "step": 9815
+    },
+    {
+      "entropy": 5.180902576446533,
+      "epoch": 8.135874067937033,
+      "grad_norm": 1.390625,
+      "learning_rate": 9.406675624066868e-05,
+      "loss": 4.3782,
+      "mean_token_accuracy": 0.2451987087726593,
+      "num_tokens": 17898541.0,
+      "step": 9820
+    },
+    {
+      "entropy": 5.233185815811157,
+      "epoch": 8.140016570008285,
+      "grad_norm": 1.5078125,
+      "learning_rate": 9.38769851538642e-05,
+      "loss": 4.3855,
+      "mean_token_accuracy": 0.24561118185520173,
+      "num_tokens": 17906664.0,
+      "step": 9825
+    },
+    {
+      "entropy": 5.207144069671631,
+      "epoch": 8.144159072079535,
+      "grad_norm": 1.4609375,
+      "learning_rate": 9.368757941197356e-05,
+      "loss": 4.3938,
+      "mean_token_accuracy": 0.24579526335000992,
+      "num_tokens": 17916201.0,
+      "step": 9830
+    },
+    {
+      "entropy": 5.240351390838623,
+      "epoch": 8.148301574150787,
+      "grad_norm": 1.2734375,
+      "learning_rate": 9.34985393970488e-05,
+      "loss": 4.4433,
+      "mean_token_accuracy": 0.23590292483568193,
+      "num_tokens": 17925700.0,
+      "step": 9835
+    },
+    {
+      "entropy": 5.180185317993164,
+      "epoch": 8.152444076222038,
+      "grad_norm": 1.421875,
+      "learning_rate": 9.330986549040432e-05,
+      "loss": 4.3908,
+      "mean_token_accuracy": 0.24027481973171233,
+      "num_tokens": 17934293.0,
+      "step": 9840
+    },
+    {
+      "entropy": 5.178470325469971,
+      "epoch": 8.15658657829329,
+      "grad_norm": 1.34375,
+      "learning_rate": 9.312155807261602e-05,
+      "loss": 4.4131,
+      "mean_token_accuracy": 0.2327113226056099,
+      "num_tokens": 17943541.0,
+      "step": 9845
+    },
+    {
+      "entropy": 5.2424520492553714,
+      "epoch": 8.16072908036454,
+      "grad_norm": 1.2890625,
+      "learning_rate": 9.293361752352045e-05,
+      "loss": 4.4064,
+      "mean_token_accuracy": 0.24514926224946976,
+      "num_tokens": 17952616.0,
+      "step": 9850
+    },
+    {
+      "entropy": 5.255953550338745,
+      "epoch": 8.164871582435792,
+      "grad_norm": 1.328125,
+      "learning_rate": 9.274604422221433e-05,
+      "loss": 4.3449,
+      "mean_token_accuracy": 0.2437419757246971,
+      "num_tokens": 17961414.0,
+      "step": 9855
+    },
+    {
+      "entropy": 5.2429039001464846,
+      "epoch": 8.169014084507042,
+      "grad_norm": 1.421875,
+      "learning_rate": 9.255883854705344e-05,
+      "loss": 4.4505,
+      "mean_token_accuracy": 0.23757243603467942,
+      "num_tokens": 17972077.0,
+      "step": 9860
+    },
+    {
+      "entropy": 5.207650089263916,
+      "epoch": 8.173156586578294,
+      "grad_norm": 1.4375,
+      "learning_rate": 9.237200087565217e-05,
+      "loss": 4.3777,
+      "mean_token_accuracy": 0.2455221474170685,
+      "num_tokens": 17980303.0,
+      "step": 9865
+    },
+    {
+      "entropy": 5.269549179077148,
+      "epoch": 8.177299088649544,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.218553158488238e-05,
+      "loss": 4.4719,
+      "mean_token_accuracy": 0.23264755457639694,
+      "num_tokens": 17990410.0,
+      "step": 9870
+    },
+    {
+      "entropy": 5.2003992080688475,
+      "epoch": 8.181441590720794,
+      "grad_norm": 1.390625,
+      "learning_rate": 9.199943105087319e-05,
+      "loss": 4.351,
+      "mean_token_accuracy": 0.24489290416240692,
+      "num_tokens": 17998931.0,
+      "step": 9875
+    },
+    {
+      "entropy": 5.211326789855957,
+      "epoch": 8.185584092792046,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.181369964900957e-05,
+      "loss": 4.4133,
+      "mean_token_accuracy": 0.24307847917079925,
+      "num_tokens": 18007853.0,
+      "step": 9880
+    },
+    {
+      "entropy": 5.2086700916290285,
+      "epoch": 8.189726594863297,
+      "grad_norm": 1.421875,
+      "learning_rate": 9.162833775393209e-05,
+      "loss": 4.3599,
+      "mean_token_accuracy": 0.2421637535095215,
+      "num_tokens": 18016517.0,
+      "step": 9885
+    },
+    {
+      "entropy": 5.26172833442688,
+      "epoch": 8.193869096934549,
+      "grad_norm": 1.4609375,
+      "learning_rate": 9.1443345739536e-05,
+      "loss": 4.4611,
+      "mean_token_accuracy": 0.2355372652411461,
+      "num_tokens": 18025057.0,
+      "step": 9890
+    },
+    {
+      "entropy": 5.222227954864502,
+      "epoch": 8.198011599005799,
+      "grad_norm": 1.4375,
+      "learning_rate": 9.12587239789703e-05,
+      "loss": 4.4596,
+      "mean_token_accuracy": 0.23549663424491882,
+      "num_tokens": 18034371.0,
+      "step": 9895
+    },
+    {
+      "entropy": 5.189918756484985,
+      "epoch": 8.202154101077051,
+      "grad_norm": 1.4453125,
+      "learning_rate": 9.10744728446374e-05,
+      "loss": 4.4308,
+      "mean_token_accuracy": 0.23917066752910615,
+      "num_tokens": 18043354.0,
+      "step": 9900
+    },
+    {
+      "entropy": 5.180388689041138,
+      "epoch": 8.206296603148301,
+      "grad_norm": 1.484375,
+      "learning_rate": 9.089059270819187e-05,
+      "loss": 4.3861,
+      "mean_token_accuracy": 0.2423325479030609,
+      "num_tokens": 18051879.0,
+      "step": 9905
+    },
+    {
+      "entropy": 5.280764532089234,
+      "epoch": 8.210439105219553,
+      "grad_norm": 1.359375,
+      "learning_rate": 9.070708394054005e-05,
+      "loss": 4.4389,
+      "mean_token_accuracy": 0.23874785751104355,
+      "num_tokens": 18062011.0,
+      "step": 9910
+    },
+    {
+      "entropy": 5.26232795715332,
+      "epoch": 8.214581607290803,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.052394691183921e-05,
+      "loss": 4.5075,
+      "mean_token_accuracy": 0.2256281480193138,
+      "num_tokens": 18071692.0,
+      "step": 9915
+    },
+    {
+      "entropy": 5.1943741798400875,
+      "epoch": 8.218724109362055,
+      "grad_norm": 1.3359375,
+      "learning_rate": 9.03411819914967e-05,
+      "loss": 4.3481,
+      "mean_token_accuracy": 0.24199035614728928,
+      "num_tokens": 18080646.0,
+      "step": 9920
+    },
+    {
+      "entropy": 5.1856715202331545,
+      "epoch": 8.222866611433306,
+      "grad_norm": 1.4140625,
+      "learning_rate": 9.015878954816941e-05,
+      "loss": 4.3647,
+      "mean_token_accuracy": 0.24757557958364487,
+      "num_tokens": 18088788.0,
+      "step": 9925
+    },
+    {
+      "entropy": 5.228688716888428,
+      "epoch": 8.227009113504558,
+      "grad_norm": 1.453125,
+      "learning_rate": 8.997676994976281e-05,
+      "loss": 4.4286,
+      "mean_token_accuracy": 0.23555690944194793,
+      "num_tokens": 18098319.0,
+      "step": 9930
+    },
+    {
+      "entropy": 5.214864444732666,
+      "epoch": 8.231151615575808,
+      "grad_norm": 1.34375,
+      "learning_rate": 8.979512356343023e-05,
+      "loss": 4.4766,
+      "mean_token_accuracy": 0.23683355748653412,
+      "num_tokens": 18107740.0,
+      "step": 9935
+    },
+    {
+      "entropy": 5.220425271987915,
+      "epoch": 8.235294117647058,
+      "grad_norm": 1.4453125,
+      "learning_rate": 8.961385075557243e-05,
+      "loss": 4.4552,
+      "mean_token_accuracy": 0.2304172098636627,
+      "num_tokens": 18117762.0,
+      "step": 9940
+    },
+    {
+      "entropy": 5.15520453453064,
+      "epoch": 8.23943661971831,
+      "grad_norm": 1.5,
+      "learning_rate": 8.943295189183632e-05,
+      "loss": 4.3286,
+      "mean_token_accuracy": 0.24465882033109665,
+      "num_tokens": 18126212.0,
+      "step": 9945
+    },
+    {
+      "entropy": 5.267645978927613,
+      "epoch": 8.24357912178956,
+      "grad_norm": 1.53125,
+      "learning_rate": 8.925242733711484e-05,
+      "loss": 4.4863,
+      "mean_token_accuracy": 0.23138361871242524,
+      "num_tokens": 18135622.0,
+      "step": 9950
+    },
+    {
+      "entropy": 5.260131311416626,
+      "epoch": 8.247721623860812,
+      "grad_norm": 1.5078125,
+      "learning_rate": 8.90722774555456e-05,
+      "loss": 4.4379,
+      "mean_token_accuracy": 0.23949550539255143,
+      "num_tokens": 18144768.0,
+      "step": 9955
+    },
+    {
+      "entropy": 5.2012913703918455,
+      "epoch": 8.251864125932062,
+      "grad_norm": 1.4296875,
+      "learning_rate": 8.889250261051063e-05,
+      "loss": 4.4585,
+      "mean_token_accuracy": 0.24050324261188508,
+      "num_tokens": 18155107.0,
+      "step": 9960
+    },
+    {
+      "entropy": 5.184732866287232,
+      "epoch": 8.256006628003314,
+      "grad_norm": 1.328125,
+      "learning_rate": 8.871310316463554e-05,
+      "loss": 4.414,
+      "mean_token_accuracy": 0.2437386229634285,
+      "num_tokens": 18164064.0,
+      "step": 9965
+    },
+    {
+      "entropy": 5.180590391159058,
+      "epoch": 8.260149130074565,
+      "grad_norm": 1.5234375,
+      "learning_rate": 8.853407947978845e-05,
+      "loss": 4.4594,
+      "mean_token_accuracy": 0.22373423725366592,
+      "num_tokens": 18172714.0,
+      "step": 9970
+    },
+    {
+      "entropy": 5.212049150466919,
+      "epoch": 8.264291632145817,
+      "grad_norm": 1.2890625,
+      "learning_rate": 8.835543191707982e-05,
+      "loss": 4.4596,
+      "mean_token_accuracy": 0.23423371762037276,
+      "num_tokens": 18182158.0,
+      "step": 9975
+    },
+    {
+      "entropy": 5.2256406307220455,
+      "epoch": 8.268434134217067,
+      "grad_norm": 1.5390625,
+      "learning_rate": 8.81771608368613e-05,
+      "loss": 4.4242,
+      "mean_token_accuracy": 0.23679217398166658,
+      "num_tokens": 18190605.0,
+      "step": 9980
+    },
+    {
+      "entropy": 5.228875350952149,
+      "epoch": 8.272576636288319,
+      "grad_norm": 1.484375,
+      "learning_rate": 8.799926659872507e-05,
+      "loss": 4.603,
+      "mean_token_accuracy": 0.2188064604997635,
+      "num_tokens": 18199992.0,
+      "step": 9985
+    },
+    {
+      "entropy": 5.269665288925171,
+      "epoch": 8.276719138359569,
+      "grad_norm": 1.453125,
+      "learning_rate": 8.782174956150335e-05,
+      "loss": 4.443,
+      "mean_token_accuracy": 0.2395315259695053,
+      "num_tokens": 18208641.0,
+      "step": 9990
+    },
+    {
+      "entropy": 5.248885774612427,
+      "epoch": 8.280861640430821,
+      "grad_norm": 1.359375,
+      "learning_rate": 8.764461008326723e-05,
+      "loss": 4.4454,
+      "mean_token_accuracy": 0.23489948213100434,
+      "num_tokens": 18218355.0,
+      "step": 9995
+    },
+    {
+      "entropy": 5.2219267845153805,
+      "epoch": 8.285004142502071,
+      "grad_norm": 1.4296875,
+      "learning_rate": 8.746784852132661e-05,
+      "loss": 4.4601,
+      "mean_token_accuracy": 0.23617841601371764,
+      "num_tokens": 18227217.0,
+      "step": 10000
+    },
+    {
+      "epoch": 8.285004142502071,
+      "eval_entropy": 5.130554149399942,
+      "eval_loss": 5.7228922843933105,
+      "eval_mean_token_accuracy": 0.16913784141225346,
+      "eval_num_tokens": 18227217.0,
+      "eval_runtime": 2.7555,
+      "eval_samples_per_second": 1359.835,
+      "eval_steps_per_second": 170.206,
+      "step": 10000
+    },
+    {
+      "entropy": 5.189085817337036,
+      "epoch": 8.289146644573322,
+      "grad_norm": 1.3671875,
+      "learning_rate": 8.729146523222877e-05,
+      "loss": 4.3974,
+      "mean_token_accuracy": 0.2361637681722641,
+      "num_tokens": 18236410.0,
+      "step": 10005
+    },
+    {
+      "entropy": 5.244648122787476,
+      "epoch": 8.293289146644574,
+      "grad_norm": 1.5703125,
+      "learning_rate": 8.711546057175804e-05,
+      "loss": 4.4474,
+      "mean_token_accuracy": 0.23846692740917205,
+      "num_tokens": 18244626.0,
+      "step": 10010
+    },
+    {
+      "entropy": 5.270169019699097,
+      "epoch": 8.297431648715824,
+      "grad_norm": 1.359375,
+      "learning_rate": 8.69398348949351e-05,
+      "loss": 4.4535,
+      "mean_token_accuracy": 0.23619772642850875,
+      "num_tokens": 18253938.0,
+      "step": 10015
+    },
+    {
+      "entropy": 5.18985161781311,
+      "epoch": 8.301574150787076,
+      "grad_norm": 1.5234375,
+      "learning_rate": 8.676458855601612e-05,
+      "loss": 4.4505,
+      "mean_token_accuracy": 0.23596869856119157,
+      "num_tokens": 18262674.0,
+      "step": 10020
+    },
+    {
+      "entropy": 5.250480699539184,
+      "epoch": 8.305716652858326,
+      "grad_norm": 1.3515625,
+      "learning_rate": 8.658972190849215e-05,
+      "loss": 4.4817,
+      "mean_token_accuracy": 0.23379983603954316,
+      "num_tokens": 18272558.0,
+      "step": 10025
+    },
+    {
+      "entropy": 5.291120862960815,
+      "epoch": 8.309859154929578,
+      "grad_norm": 1.53125,
+      "learning_rate": 8.641523530508827e-05,
+      "loss": 4.4931,
+      "mean_token_accuracy": 0.23938387334346772,
+      "num_tokens": 18282522.0,
+      "step": 10030
+    },
+    {
+      "entropy": 5.273213243484497,
+      "epoch": 8.314001657000828,
+      "grad_norm": 1.390625,
+      "learning_rate": 8.624112909776314e-05,
+      "loss": 4.4294,
+      "mean_token_accuracy": 0.23269279450178146,
+      "num_tokens": 18290933.0,
+      "step": 10035
+    },
+    {
+      "entropy": 5.212837028503418,
+      "epoch": 8.31814415907208,
+      "grad_norm": 1.421875,
+      "learning_rate": 8.606740363770788e-05,
+      "loss": 4.4088,
+      "mean_token_accuracy": 0.23555412590503694,
+      "num_tokens": 18300705.0,
+      "step": 10040
+    },
+    {
+      "entropy": 5.238656616210937,
+      "epoch": 8.32228666114333,
+      "grad_norm": 1.4375,
+      "learning_rate": 8.589405927534571e-05,
+      "loss": 4.4081,
+      "mean_token_accuracy": 0.244551882147789,
+      "num_tokens": 18309889.0,
+      "step": 10045
+    },
+    {
+      "entropy": 5.242896318435669,
+      "epoch": 8.326429163214582,
+      "grad_norm": 1.4609375,
+      "learning_rate": 8.57210963603313e-05,
+      "loss": 4.4503,
+      "mean_token_accuracy": 0.23040195405483246,
+      "num_tokens": 18319282.0,
+      "step": 10050
+    },
+    {
+      "entropy": 5.290544414520264,
+      "epoch": 8.330571665285833,
+      "grad_norm": 1.46875,
+      "learning_rate": 8.554851524154961e-05,
+      "loss": 4.4914,
+      "mean_token_accuracy": 0.23957772552967072,
+      "num_tokens": 18328713.0,
+      "step": 10055
+    },
+    {
+      "entropy": 5.18739800453186,
+      "epoch": 8.334714167357085,
+      "grad_norm": 1.5546875,
+      "learning_rate": 8.537631626711573e-05,
+      "loss": 4.3541,
+      "mean_token_accuracy": 0.24801484048366546,
+      "num_tokens": 18337262.0,
+      "step": 10060
+    },
+    {
+      "entropy": 5.273202228546142,
+      "epoch": 8.338856669428335,
+      "grad_norm": 1.296875,
+      "learning_rate": 8.520449978437372e-05,
+      "loss": 4.4515,
+      "mean_token_accuracy": 0.24038465470075607,
+      "num_tokens": 18346699.0,
+      "step": 10065
+    },
+    {
+      "entropy": 5.202633285522461,
+      "epoch": 8.342999171499585,
+      "grad_norm": 1.4140625,
+      "learning_rate": 8.50330661398962e-05,
+      "loss": 4.3765,
+      "mean_token_accuracy": 0.23907299488782882,
+      "num_tokens": 18355466.0,
+      "step": 10070
+    },
+    {
+      "entropy": 5.197913932800293,
+      "epoch": 8.347141673570837,
+      "grad_norm": 1.4921875,
+      "learning_rate": 8.486201567948363e-05,
+      "loss": 4.3871,
+      "mean_token_accuracy": 0.23954783082008363,
+      "num_tokens": 18363988.0,
+      "step": 10075
+    },
+    {
+      "entropy": 5.277276611328125,
+      "epoch": 8.351284175642087,
+      "grad_norm": 1.2734375,
+      "learning_rate": 8.469134874816342e-05,
+      "loss": 4.5177,
+      "mean_token_accuracy": 0.23427421301603318,
+      "num_tokens": 18373784.0,
+      "step": 10080
+    },
+    {
+      "entropy": 5.225943231582642,
+      "epoch": 8.35542667771334,
+      "grad_norm": 1.4296875,
+      "learning_rate": 8.45210656901895e-05,
+      "loss": 4.3798,
+      "mean_token_accuracy": 0.24082893282175064,
+      "num_tokens": 18382929.0,
+      "step": 10085
+    },
+    {
+      "entropy": 5.265467834472656,
+      "epoch": 8.35956917978459,
+      "grad_norm": 1.484375,
+      "learning_rate": 8.435116684904136e-05,
+      "loss": 4.4526,
+      "mean_token_accuracy": 0.23882831037044525,
+      "num_tokens": 18392399.0,
+      "step": 10090
+    },
+    {
+      "entropy": 5.2780547618865965,
+      "epoch": 8.363711681855841,
+      "grad_norm": 1.3359375,
+      "learning_rate": 8.418165256742346e-05,
+      "loss": 4.542,
+      "mean_token_accuracy": 0.22470442056655884,
+      "num_tokens": 18402255.0,
+      "step": 10095
+    },
+    {
+      "entropy": 5.233971357345581,
+      "epoch": 8.367854183927092,
+      "grad_norm": 1.296875,
+      "learning_rate": 8.401252318726473e-05,
+      "loss": 4.4252,
+      "mean_token_accuracy": 0.24408935755491257,
+      "num_tokens": 18411677.0,
+      "step": 10100
+    },
+    {
+      "entropy": 5.181299114227295,
+      "epoch": 8.371996685998344,
+      "grad_norm": 1.5390625,
+      "learning_rate": 8.384377904971753e-05,
+      "loss": 4.4185,
+      "mean_token_accuracy": 0.23354480415582657,
+      "num_tokens": 18420332.0,
+      "step": 10105
+    },
+    {
+      "entropy": 5.126711988449097,
+      "epoch": 8.376139188069594,
+      "grad_norm": 1.46875,
+      "learning_rate": 8.367542049515733e-05,
+      "loss": 4.3243,
+      "mean_token_accuracy": 0.2377860352396965,
+      "num_tokens": 18429542.0,
+      "step": 10110
+    },
+    {
+      "entropy": 5.238503551483154,
+      "epoch": 8.380281690140846,
+      "grad_norm": 1.4375,
+      "learning_rate": 8.350744786318168e-05,
+      "loss": 4.4209,
+      "mean_token_accuracy": 0.24683155715465546,
+      "num_tokens": 18439064.0,
+      "step": 10115
+    },
+    {
+      "entropy": 5.191628503799438,
+      "epoch": 8.384424192212096,
+      "grad_norm": 1.3984375,
+      "learning_rate": 8.33398614926097e-05,
+      "loss": 4.4405,
+      "mean_token_accuracy": 0.23440641164779663,
+      "num_tokens": 18449001.0,
+      "step": 10120
+    },
+    {
+      "entropy": 5.227044200897216,
+      "epoch": 8.388566694283346,
+      "grad_norm": 1.2890625,
+      "learning_rate": 8.317266172148145e-05,
+      "loss": 4.4,
+      "mean_token_accuracy": 0.24424718767404557,
+      "num_tokens": 18458105.0,
+      "step": 10125
+    },
+    {
+      "entropy": 5.222586965560913,
+      "epoch": 8.392709196354598,
+      "grad_norm": 1.5078125,
+      "learning_rate": 8.300584888705709e-05,
+      "loss": 4.4574,
+      "mean_token_accuracy": 0.23139263391494752,
+      "num_tokens": 18466975.0,
+      "step": 10130
+    },
+    {
+      "entropy": 5.1690774917602536,
+      "epoch": 8.396851698425849,
+      "grad_norm": 1.34375,
+      "learning_rate": 8.283942332581644e-05,
+      "loss": 4.3477,
+      "mean_token_accuracy": 0.25254258811473845,
+      "num_tokens": 18475543.0,
+      "step": 10135
+    },
+    {
+      "entropy": 5.1052000522613525,
+      "epoch": 8.4009942004971,
+      "grad_norm": 1.3515625,
+      "learning_rate": 8.267338537345792e-05,
+      "loss": 4.3078,
+      "mean_token_accuracy": 0.2526886507868767,
+      "num_tokens": 18484399.0,
+      "step": 10140
+    },
+    {
+      "entropy": 5.153526496887207,
+      "epoch": 8.40513670256835,
+      "grad_norm": 1.53125,
+      "learning_rate": 8.250773536489833e-05,
+      "loss": 4.4435,
+      "mean_token_accuracy": 0.22786851227283478,
+      "num_tokens": 18493168.0,
+      "step": 10145
+    },
+    {
+      "entropy": 5.12832818031311,
+      "epoch": 8.409279204639603,
+      "grad_norm": 1.328125,
+      "learning_rate": 8.234247363427174e-05,
+      "loss": 4.4062,
+      "mean_token_accuracy": 0.23227766901254654,
+      "num_tokens": 18502624.0,
+      "step": 10150
+    },
+    {
+      "entropy": 5.1949280261993405,
+      "epoch": 8.413421706710853,
+      "grad_norm": 1.4296875,
+      "learning_rate": 8.217760051492926e-05,
+      "loss": 4.3773,
+      "mean_token_accuracy": 0.24500519186258315,
+      "num_tokens": 18510990.0,
+      "step": 10155
+    },
+    {
+      "entropy": 5.185572957992553,
+      "epoch": 8.417564208782105,
+      "grad_norm": 1.421875,
+      "learning_rate": 8.201311633943788e-05,
+      "loss": 4.3771,
+      "mean_token_accuracy": 0.23713377714157105,
+      "num_tokens": 18519490.0,
+      "step": 10160
+    },
+    {
+      "entropy": 5.2189507484436035,
+      "epoch": 8.421706710853355,
+      "grad_norm": 1.375,
+      "learning_rate": 8.184902143958013e-05,
+      "loss": 4.423,
+      "mean_token_accuracy": 0.2332186371088028,
+      "num_tokens": 18528827.0,
+      "step": 10165
+    },
+    {
+      "entropy": 5.175855875015259,
+      "epoch": 8.425849212924607,
+      "grad_norm": 1.53125,
+      "learning_rate": 8.168531614635347e-05,
+      "loss": 4.4199,
+      "mean_token_accuracy": 0.23608411699533463,
+      "num_tokens": 18537592.0,
+      "step": 10170
+    },
+    {
+      "entropy": 5.2588996410369875,
+      "epoch": 8.429991714995857,
+      "grad_norm": 1.453125,
+      "learning_rate": 8.152200078996924e-05,
+      "loss": 4.5155,
+      "mean_token_accuracy": 0.23638325929641724,
+      "num_tokens": 18547253.0,
+      "step": 10175
+    },
+    {
+      "entropy": 5.2214000701904295,
+      "epoch": 8.434134217067108,
+      "grad_norm": 1.4609375,
+      "learning_rate": 8.135907569985248e-05,
+      "loss": 4.4527,
+      "mean_token_accuracy": 0.23231977820396424,
+      "num_tokens": 18556658.0,
+      "step": 10180
+    },
+    {
+      "entropy": 5.200859260559082,
+      "epoch": 8.43827671913836,
+      "grad_norm": 1.3359375,
+      "learning_rate": 8.119654120464077e-05,
+      "loss": 4.3935,
+      "mean_token_accuracy": 0.2399752229452133,
+      "num_tokens": 18565594.0,
+      "step": 10185
+    },
+    {
+      "entropy": 5.211322498321533,
+      "epoch": 8.44241922120961,
+      "grad_norm": 1.53125,
+      "learning_rate": 8.103439763218411e-05,
+      "loss": 4.4234,
+      "mean_token_accuracy": 0.2339351773262024,
+      "num_tokens": 18574033.0,
+      "step": 10190
+    },
+    {
+      "entropy": 5.202614641189575,
+      "epoch": 8.446561723280862,
+      "grad_norm": 1.453125,
+      "learning_rate": 8.087264530954362e-05,
+      "loss": 4.4269,
+      "mean_token_accuracy": 0.233833409845829,
+      "num_tokens": 18583064.0,
+      "step": 10195
+    },
+    {
+      "entropy": 5.293605899810791,
+      "epoch": 8.450704225352112,
+      "grad_norm": 1.3828125,
+      "learning_rate": 8.071128456299159e-05,
+      "loss": 4.5161,
+      "mean_token_accuracy": 0.2285238817334175,
+      "num_tokens": 18591910.0,
+      "step": 10200
+    },
+    {
+      "entropy": 5.248147439956665,
+      "epoch": 8.454846727423364,
+      "grad_norm": 1.5078125,
+      "learning_rate": 8.055031571801013e-05,
+      "loss": 4.42,
+      "mean_token_accuracy": 0.24132785946130753,
+      "num_tokens": 18600880.0,
+      "step": 10205
+    },
+    {
+      "entropy": 5.328955936431885,
+      "epoch": 8.458989229494614,
+      "grad_norm": 1.5703125,
+      "learning_rate": 8.038973909929112e-05,
+      "loss": 4.6032,
+      "mean_token_accuracy": 0.22523417323827744,
+      "num_tokens": 18610407.0,
+      "step": 10210
+    },
+    {
+      "entropy": 5.234103345870972,
+      "epoch": 8.463131731565866,
+      "grad_norm": 1.4921875,
+      "learning_rate": 8.022955503073502e-05,
+      "loss": 4.468,
+      "mean_token_accuracy": 0.23666063845157623,
+      "num_tokens": 18620166.0,
+      "step": 10215
+    },
+    {
+      "entropy": 5.195783424377441,
+      "epoch": 8.467274233637117,
+      "grad_norm": 1.5,
+      "learning_rate": 8.006976383545071e-05,
+      "loss": 4.3991,
+      "mean_token_accuracy": 0.23298656940460205,
+      "num_tokens": 18628851.0,
+      "step": 10220
+    },
+    {
+      "entropy": 5.20527925491333,
+      "epoch": 8.471416735708369,
+      "grad_norm": 1.4609375,
+      "learning_rate": 7.991036583575448e-05,
+      "loss": 4.4305,
+      "mean_token_accuracy": 0.24241199791431428,
+      "num_tokens": 18637921.0,
+      "step": 10225
+    },
+    {
+      "entropy": 5.195417594909668,
+      "epoch": 8.475559237779619,
+      "grad_norm": 1.34375,
+      "learning_rate": 7.975136135316941e-05,
+      "loss": 4.3642,
+      "mean_token_accuracy": 0.24671109169721603,
+      "num_tokens": 18647291.0,
+      "step": 10230
+    },
+    {
+      "entropy": 5.1769211769104,
+      "epoch": 8.47970173985087,
+      "grad_norm": 1.453125,
+      "learning_rate": 7.959275070842502e-05,
+      "loss": 4.3915,
+      "mean_token_accuracy": 0.23937203139066696,
+      "num_tokens": 18656252.0,
+      "step": 10235
+    },
+    {
+      "entropy": 5.176210403442383,
+      "epoch": 8.483844241922121,
+      "grad_norm": 1.3125,
+      "learning_rate": 7.943453422145626e-05,
+      "loss": 4.417,
+      "mean_token_accuracy": 0.24022968858480453,
+      "num_tokens": 18666199.0,
+      "step": 10240
+    },
+    {
+      "entropy": 5.217723751068116,
+      "epoch": 8.487986743993371,
+      "grad_norm": 1.46875,
+      "learning_rate": 7.927671221140317e-05,
+      "loss": 4.4517,
+      "mean_token_accuracy": 0.23993866443634032,
+      "num_tokens": 18675573.0,
+      "step": 10245
+    },
+    {
+      "entropy": 5.252127313613892,
+      "epoch": 8.492129246064623,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.911928499660986e-05,
+      "loss": 4.4263,
+      "mean_token_accuracy": 0.237184576690197,
+      "num_tokens": 18684627.0,
+      "step": 10250
+    },
+    {
+      "entropy": 5.2742616653442385,
+      "epoch": 8.496271748135873,
+      "grad_norm": 1.296875,
+      "learning_rate": 7.896225289462426e-05,
+      "loss": 4.4702,
+      "mean_token_accuracy": 0.22651803195476533,
+      "num_tokens": 18694287.0,
+      "step": 10255
+    },
+    {
+      "entropy": 5.209424877166748,
+      "epoch": 8.500414250207125,
+      "grad_norm": 1.5546875,
+      "learning_rate": 7.880561622219735e-05,
+      "loss": 4.4389,
+      "mean_token_accuracy": 0.23508745133876802,
+      "num_tokens": 18704014.0,
+      "step": 10260
+    },
+    {
+      "entropy": 5.209544658660889,
+      "epoch": 8.504556752278376,
+      "grad_norm": 1.453125,
+      "learning_rate": 7.864937529528232e-05,
+      "loss": 4.4197,
+      "mean_token_accuracy": 0.24119794815778733,
+      "num_tokens": 18713030.0,
+      "step": 10265
+    },
+    {
+      "entropy": 5.262354707717895,
+      "epoch": 8.508699254349628,
+      "grad_norm": 1.5078125,
+      "learning_rate": 7.849353042903428e-05,
+      "loss": 4.4526,
+      "mean_token_accuracy": 0.24413182735443115,
+      "num_tokens": 18721911.0,
+      "step": 10270
+    },
+    {
+      "entropy": 5.194427108764648,
+      "epoch": 8.512841756420878,
+      "grad_norm": 1.3828125,
+      "learning_rate": 7.833808193780934e-05,
+      "loss": 4.3903,
+      "mean_token_accuracy": 0.24381678253412248,
+      "num_tokens": 18730688.0,
+      "step": 10275
+    },
+    {
+      "entropy": 5.237134313583374,
+      "epoch": 8.51698425849213,
+      "grad_norm": 1.2890625,
+      "learning_rate": 7.818303013516401e-05,
+      "loss": 4.4752,
+      "mean_token_accuracy": 0.23708440065383912,
+      "num_tokens": 18740214.0,
+      "step": 10280
+    },
+    {
+      "entropy": 5.19223198890686,
+      "epoch": 8.52112676056338,
+      "grad_norm": 1.453125,
+      "learning_rate": 7.802837533385482e-05,
+      "loss": 4.4394,
+      "mean_token_accuracy": 0.2367953270673752,
+      "num_tokens": 18748837.0,
+      "step": 10285
+    },
+    {
+      "entropy": 5.169844484329223,
+      "epoch": 8.525269262634632,
+      "grad_norm": 1.515625,
+      "learning_rate": 7.787411784583733e-05,
+      "loss": 4.3104,
+      "mean_token_accuracy": 0.248037089407444,
+      "num_tokens": 18757482.0,
+      "step": 10290
+    },
+    {
+      "entropy": 5.144911432266236,
+      "epoch": 8.529411764705882,
+      "grad_norm": 1.3671875,
+      "learning_rate": 7.772025798226582e-05,
+      "loss": 4.4084,
+      "mean_token_accuracy": 0.2401130571961403,
+      "num_tokens": 18766326.0,
+      "step": 10295
+    },
+    {
+      "entropy": 5.309397840499878,
+      "epoch": 8.533554266777134,
+      "grad_norm": 1.578125,
+      "learning_rate": 7.756679605349241e-05,
+      "loss": 4.5022,
+      "mean_token_accuracy": 0.2320367693901062,
+      "num_tokens": 18774287.0,
+      "step": 10300
+    },
+    {
+      "entropy": 5.217145586013794,
+      "epoch": 8.537696768848384,
+      "grad_norm": 1.25,
+      "learning_rate": 7.741373236906658e-05,
+      "loss": 4.484,
+      "mean_token_accuracy": 0.23230270594358443,
+      "num_tokens": 18785172.0,
+      "step": 10305
+    },
+    {
+      "entropy": 5.186282730102539,
+      "epoch": 8.541839270919635,
+      "grad_norm": 1.4609375,
+      "learning_rate": 7.726106723773452e-05,
+      "loss": 4.4807,
+      "mean_token_accuracy": 0.22887564748525618,
+      "num_tokens": 18794294.0,
+      "step": 10310
+    },
+    {
+      "entropy": 5.26285572052002,
+      "epoch": 8.545981772990887,
+      "grad_norm": 1.453125,
+      "learning_rate": 7.710880096743845e-05,
+      "loss": 4.4681,
+      "mean_token_accuracy": 0.2354227989912033,
+      "num_tokens": 18803108.0,
+      "step": 10315
+    },
+    {
+      "entropy": 5.212899780273437,
+      "epoch": 8.550124275062137,
+      "grad_norm": 1.5234375,
+      "learning_rate": 7.695693386531612e-05,
+      "loss": 4.4197,
+      "mean_token_accuracy": 0.24306773543357849,
+      "num_tokens": 18811215.0,
+      "step": 10320
+    },
+    {
+      "entropy": 5.214504623413086,
+      "epoch": 8.554266777133389,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.680546623770001e-05,
+      "loss": 4.5113,
+      "mean_token_accuracy": 0.23043400049209595,
+      "num_tokens": 18820796.0,
+      "step": 10325
+    },
+    {
+      "entropy": 5.33404221534729,
+      "epoch": 8.55840927920464,
+      "grad_norm": 1.40625,
+      "learning_rate": 7.665439839011701e-05,
+      "loss": 4.554,
+      "mean_token_accuracy": 0.21822466552257538,
+      "num_tokens": 18830673.0,
+      "step": 10330
+    },
+    {
+      "entropy": 5.219755029678344,
+      "epoch": 8.562551781275891,
+      "grad_norm": 1.515625,
+      "learning_rate": 7.650373062728735e-05,
+      "loss": 4.4567,
+      "mean_token_accuracy": 0.23806945085525513,
+      "num_tokens": 18839898.0,
+      "step": 10335
+    },
+    {
+      "entropy": 5.2029930591583256,
+      "epoch": 8.566694283347141,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.635346325312437e-05,
+      "loss": 4.3957,
+      "mean_token_accuracy": 0.24061628580093383,
+      "num_tokens": 18848380.0,
+      "step": 10340
+    },
+    {
+      "entropy": 5.183950519561767,
+      "epoch": 8.570836785418393,
+      "grad_norm": 1.4765625,
+      "learning_rate": 7.62035965707339e-05,
+      "loss": 4.3698,
+      "mean_token_accuracy": 0.23951665312051773,
+      "num_tokens": 18857157.0,
+      "step": 10345
+    },
+    {
+      "entropy": 5.218787288665771,
+      "epoch": 8.574979287489644,
+      "grad_norm": 1.4296875,
+      "learning_rate": 7.605413088241325e-05,
+      "loss": 4.4386,
+      "mean_token_accuracy": 0.23871394395828247,
+      "num_tokens": 18866544.0,
+      "step": 10350
+    },
+    {
+      "entropy": 5.245972967147827,
+      "epoch": 8.579121789560896,
+      "grad_norm": 1.390625,
+      "learning_rate": 7.59050664896512e-05,
+      "loss": 4.4763,
+      "mean_token_accuracy": 0.23758894056081772,
+      "num_tokens": 18876052.0,
+      "step": 10355
+    },
+    {
+      "entropy": 5.173453092575073,
+      "epoch": 8.583264291632146,
+      "grad_norm": 1.5390625,
+      "learning_rate": 7.575640369312684e-05,
+      "loss": 4.3606,
+      "mean_token_accuracy": 0.24585366398096084,
+      "num_tokens": 18885141.0,
+      "step": 10360
+    },
+    {
+      "entropy": 5.170973825454712,
+      "epoch": 8.587406793703398,
+      "grad_norm": 1.5,
+      "learning_rate": 7.560814279270928e-05,
+      "loss": 4.3688,
+      "mean_token_accuracy": 0.2500849083065987,
+      "num_tokens": 18893108.0,
+      "step": 10365
+    },
+    {
+      "entropy": 5.223328018188477,
+      "epoch": 8.591549295774648,
+      "grad_norm": 1.4921875,
+      "learning_rate": 7.5460284087457e-05,
+      "loss": 4.4345,
+      "mean_token_accuracy": 0.24185387045145035,
+      "num_tokens": 18901436.0,
+      "step": 10370
+    },
+    {
+      "entropy": 5.210998106002807,
+      "epoch": 8.595691797845898,
+      "grad_norm": 1.3671875,
+      "learning_rate": 7.53128278756171e-05,
+      "loss": 4.4018,
+      "mean_token_accuracy": 0.24778844714164733,
+      "num_tokens": 18910057.0,
+      "step": 10375
+    },
+    {
+      "entropy": 5.1040510654449465,
+      "epoch": 8.59983429991715,
+      "grad_norm": 1.3828125,
+      "learning_rate": 7.516577445462493e-05,
+      "loss": 4.3,
+      "mean_token_accuracy": 0.24971302300691606,
+      "num_tokens": 18918270.0,
+      "step": 10380
+    },
+    {
+      "entropy": 5.231306409835815,
+      "epoch": 8.6039768019884,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.501912412110331e-05,
+      "loss": 4.4845,
+      "mean_token_accuracy": 0.23085562586784364,
+      "num_tokens": 18928202.0,
+      "step": 10385
+    },
+    {
+      "entropy": 5.2012535572052006,
+      "epoch": 8.608119304059652,
+      "grad_norm": 1.484375,
+      "learning_rate": 7.487287717086193e-05,
+      "loss": 4.4517,
+      "mean_token_accuracy": 0.23962246477603913,
+      "num_tokens": 18937837.0,
+      "step": 10390
+    },
+    {
+      "entropy": 5.208834791183472,
+      "epoch": 8.612261806130903,
+      "grad_norm": 1.4296875,
+      "learning_rate": 7.472703389889695e-05,
+      "loss": 4.4011,
+      "mean_token_accuracy": 0.24069707244634628,
+      "num_tokens": 18946391.0,
+      "step": 10395
+    },
+    {
+      "entropy": 5.2311876773834225,
+      "epoch": 8.616404308202155,
+      "grad_norm": 1.390625,
+      "learning_rate": 7.458159459939007e-05,
+      "loss": 4.4489,
+      "mean_token_accuracy": 0.23659338057041168,
+      "num_tokens": 18955269.0,
+      "step": 10400
+    },
+    {
+      "entropy": 5.190009307861328,
+      "epoch": 8.620546810273405,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.443655956570842e-05,
+      "loss": 4.3755,
+      "mean_token_accuracy": 0.24546574354171752,
+      "num_tokens": 18964030.0,
+      "step": 10405
+    },
+    {
+      "entropy": 5.1890928745269775,
+      "epoch": 8.624689312344657,
+      "grad_norm": 1.359375,
+      "learning_rate": 7.429192909040339e-05,
+      "loss": 4.3809,
+      "mean_token_accuracy": 0.2469545379281044,
+      "num_tokens": 18973690.0,
+      "step": 10410
+    },
+    {
+      "entropy": 5.18334994316101,
+      "epoch": 8.628831814415907,
+      "grad_norm": 1.5,
+      "learning_rate": 7.414770346521043e-05,
+      "loss": 4.3623,
+      "mean_token_accuracy": 0.24696797430515288,
+      "num_tokens": 18981339.0,
+      "step": 10415
+    },
+    {
+      "entropy": 5.2303839206695555,
+      "epoch": 8.632974316487159,
+      "grad_norm": 1.5625,
+      "learning_rate": 7.400388298104851e-05,
+      "loss": 4.4068,
+      "mean_token_accuracy": 0.2369140088558197,
+      "num_tokens": 18990141.0,
+      "step": 10420
+    },
+    {
+      "entropy": 5.159129667282104,
+      "epoch": 8.63711681855841,
+      "grad_norm": 1.3984375,
+      "learning_rate": 7.386046792801911e-05,
+      "loss": 4.3986,
+      "mean_token_accuracy": 0.24463264495134354,
+      "num_tokens": 18999217.0,
+      "step": 10425
+    },
+    {
+      "entropy": 5.21497597694397,
+      "epoch": 8.64125932062966,
+      "grad_norm": 1.6640625,
+      "learning_rate": 7.371745859540622e-05,
+      "loss": 4.478,
+      "mean_token_accuracy": 0.23663176596164703,
+      "num_tokens": 19008554.0,
+      "step": 10430
+    },
+    {
+      "entropy": 5.173939180374146,
+      "epoch": 8.645401822700912,
+      "grad_norm": 1.40625,
+      "learning_rate": 7.357485527167522e-05,
+      "loss": 4.4008,
+      "mean_token_accuracy": 0.24518686681985855,
+      "num_tokens": 19018159.0,
+      "step": 10435
+    },
+    {
+      "entropy": 5.206839847564697,
+      "epoch": 8.649544324772162,
+      "grad_norm": 1.5625,
+      "learning_rate": 7.343265824447254e-05,
+      "loss": 4.3876,
+      "mean_token_accuracy": 0.23844624310731888,
+      "num_tokens": 19026985.0,
+      "step": 10440
+    },
+    {
+      "entropy": 5.248799228668213,
+      "epoch": 8.653686826843414,
+      "grad_norm": 1.3671875,
+      "learning_rate": 7.329086780062522e-05,
+      "loss": 4.4566,
+      "mean_token_accuracy": 0.2319045841693878,
+      "num_tokens": 19036745.0,
+      "step": 10445
+    },
+    {
+      "entropy": 5.184232616424561,
+      "epoch": 8.657829328914664,
+      "grad_norm": 1.390625,
+      "learning_rate": 7.314948422613998e-05,
+      "loss": 4.3972,
+      "mean_token_accuracy": 0.24480258375406266,
+      "num_tokens": 19045200.0,
+      "step": 10450
+    },
+    {
+      "entropy": 5.22222671508789,
+      "epoch": 8.661971830985916,
+      "grad_norm": 1.5703125,
+      "learning_rate": 7.30085078062031e-05,
+      "loss": 4.3972,
+      "mean_token_accuracy": 0.24710927307605743,
+      "num_tokens": 19054102.0,
+      "step": 10455
+    },
+    {
+      "entropy": 5.227342224121093,
+      "epoch": 8.666114333057166,
+      "grad_norm": 1.3828125,
+      "learning_rate": 7.286793882517922e-05,
+      "loss": 4.4817,
+      "mean_token_accuracy": 0.23506841957569122,
+      "num_tokens": 19062895.0,
+      "step": 10460
+    },
+    {
+      "entropy": 5.171539640426635,
+      "epoch": 8.670256835128418,
+      "grad_norm": 1.484375,
+      "learning_rate": 7.272777756661152e-05,
+      "loss": 4.3649,
+      "mean_token_accuracy": 0.24760980010032654,
+      "num_tokens": 19071523.0,
+      "step": 10465
+    },
+    {
+      "entropy": 5.185952615737915,
+      "epoch": 8.674399337199668,
+      "grad_norm": 1.4765625,
+      "learning_rate": 7.258802431322047e-05,
+      "loss": 4.4121,
+      "mean_token_accuracy": 0.23732124269008636,
+      "num_tokens": 19080765.0,
+      "step": 10470
+    },
+    {
+      "entropy": 5.252375984191895,
+      "epoch": 8.67854183927092,
+      "grad_norm": 1.3359375,
+      "learning_rate": 7.244867934690364e-05,
+      "loss": 4.4613,
+      "mean_token_accuracy": 0.2323843464255333,
+      "num_tokens": 19089871.0,
+      "step": 10475
+    },
+    {
+      "entropy": 5.187610292434693,
+      "epoch": 8.68268434134217,
+      "grad_norm": 1.3828125,
+      "learning_rate": 7.230974294873513e-05,
+      "loss": 4.3838,
+      "mean_token_accuracy": 0.24054025560617448,
+      "num_tokens": 19098928.0,
+      "step": 10480
+    },
+    {
+      "entropy": 5.245558977127075,
+      "epoch": 8.68682684341342,
+      "grad_norm": 1.3984375,
+      "learning_rate": 7.217121539896476e-05,
+      "loss": 4.4835,
+      "mean_token_accuracy": 0.23271409273147584,
+      "num_tokens": 19107795.0,
+      "step": 10485
+    },
+    {
+      "entropy": 5.311456537246704,
+      "epoch": 8.690969345484673,
+      "grad_norm": 1.46875,
+      "learning_rate": 7.203309697701784e-05,
+      "loss": 4.4991,
+      "mean_token_accuracy": 0.22682723701000213,
+      "num_tokens": 19117060.0,
+      "step": 10490
+    },
+    {
+      "entropy": 5.217403793334961,
+      "epoch": 8.695111847555923,
+      "grad_norm": 1.4609375,
+      "learning_rate": 7.189538796149424e-05,
+      "loss": 4.4537,
+      "mean_token_accuracy": 0.2290256530046463,
+      "num_tokens": 19126876.0,
+      "step": 10495
+    },
+    {
+      "entropy": 5.315350341796875,
+      "epoch": 8.699254349627175,
+      "grad_norm": 1.3671875,
+      "learning_rate": 7.175808863016806e-05,
+      "loss": 4.5203,
+      "mean_token_accuracy": 0.22548595070838928,
+      "num_tokens": 19136888.0,
+      "step": 10500
+    },
+    {
+      "epoch": 8.699254349627175,
+      "eval_entropy": 5.119190056440927,
+      "eval_loss": 5.7212605476379395,
+      "eval_mean_token_accuracy": 0.16961656545779344,
+      "eval_num_tokens": 19136888.0,
+      "eval_runtime": 2.752,
+      "eval_samples_per_second": 1361.551,
+      "eval_steps_per_second": 170.421,
+      "step": 10500
+    },
+    {
+      "entropy": 5.226673030853272,
+      "epoch": 8.703396851698425,
+      "grad_norm": 1.484375,
+      "learning_rate": 7.162119925998714e-05,
+      "loss": 4.5059,
+      "mean_token_accuracy": 0.2253893718123436,
+      "num_tokens": 19146727.0,
+      "step": 10505
+    },
+    {
+      "entropy": 5.179952812194824,
+      "epoch": 8.707539353769677,
+      "grad_norm": 1.171875,
+      "learning_rate": 7.148472012707225e-05,
+      "loss": 4.412,
+      "mean_token_accuracy": 0.2382320299744606,
+      "num_tokens": 19157322.0,
+      "step": 10510
+    },
+    {
+      "entropy": 5.166423749923706,
+      "epoch": 8.711681855840927,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.134865150671676e-05,
+      "loss": 4.3914,
+      "mean_token_accuracy": 0.23635614067316055,
+      "num_tokens": 19166302.0,
+      "step": 10515
+    },
+    {
+      "entropy": 5.251778602600098,
+      "epoch": 8.71582435791218,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.121299367338593e-05,
+      "loss": 4.4374,
+      "mean_token_accuracy": 0.24589941501617432,
+      "num_tokens": 19174883.0,
+      "step": 10520
+    },
+    {
+      "entropy": 5.153423023223877,
+      "epoch": 8.71996685998343,
+      "grad_norm": 1.40625,
+      "learning_rate": 7.107774690071635e-05,
+      "loss": 4.3541,
+      "mean_token_accuracy": 0.239237742125988,
+      "num_tokens": 19184410.0,
+      "step": 10525
+    },
+    {
+      "entropy": 5.228266382217408,
+      "epoch": 8.724109362054682,
+      "grad_norm": 1.4375,
+      "learning_rate": 7.094291146151568e-05,
+      "loss": 4.4674,
+      "mean_token_accuracy": 0.2395067408680916,
+      "num_tokens": 19193559.0,
+      "step": 10530
+    },
+    {
+      "entropy": 5.273577928543091,
+      "epoch": 8.728251864125932,
+      "grad_norm": 1.5546875,
+      "learning_rate": 7.080848762776159e-05,
+      "loss": 4.4714,
+      "mean_token_accuracy": 0.23337527960538865,
+      "num_tokens": 19202520.0,
+      "step": 10535
+    },
+    {
+      "entropy": 5.188484859466553,
+      "epoch": 8.732394366197184,
+      "grad_norm": 1.3046875,
+      "learning_rate": 7.067447567060178e-05,
+      "loss": 4.4106,
+      "mean_token_accuracy": 0.24163178950548173,
+      "num_tokens": 19212357.0,
+      "step": 10540
+    },
+    {
+      "entropy": 5.270314884185791,
+      "epoch": 8.736536868268434,
+      "grad_norm": 1.4140625,
+      "learning_rate": 7.054087586035295e-05,
+      "loss": 4.4547,
+      "mean_token_accuracy": 0.22959824949502944,
+      "num_tokens": 19222069.0,
+      "step": 10545
+    },
+    {
+      "entropy": 5.25425443649292,
+      "epoch": 8.740679370339684,
+      "grad_norm": 1.3046875,
+      "learning_rate": 7.040768846650046e-05,
+      "loss": 4.4932,
+      "mean_token_accuracy": 0.2278127059340477,
+      "num_tokens": 19232274.0,
+      "step": 10550
+    },
+    {
+      "entropy": 5.254214191436768,
+      "epoch": 8.744821872410936,
+      "grad_norm": 1.3046875,
+      "learning_rate": 7.027491375769795e-05,
+      "loss": 4.4757,
+      "mean_token_accuracy": 0.2411029651761055,
+      "num_tokens": 19241877.0,
+      "step": 10555
+    },
+    {
+      "entropy": 5.2116861820220945,
+      "epoch": 8.748964374482187,
+      "grad_norm": 1.4453125,
+      "learning_rate": 7.014255200176643e-05,
+      "loss": 4.3782,
+      "mean_token_accuracy": 0.2412834107875824,
+      "num_tokens": 19250229.0,
+      "step": 10560
+    },
+    {
+      "entropy": 5.172750854492188,
+      "epoch": 8.753106876553439,
+      "grad_norm": 1.4140625,
+      "learning_rate": 7.001060346569408e-05,
+      "loss": 4.4164,
+      "mean_token_accuracy": 0.23507136851549149,
+      "num_tokens": 19259061.0,
+      "step": 10565
+    },
+    {
+      "entropy": 5.257285022735596,
+      "epoch": 8.757249378624689,
+      "grad_norm": 1.4296875,
+      "learning_rate": 6.987906841563552e-05,
+      "loss": 4.4909,
+      "mean_token_accuracy": 0.2253558024764061,
+      "num_tokens": 19268262.0,
+      "step": 10570
+    },
+    {
+      "entropy": 5.223095846176148,
+      "epoch": 8.76139188069594,
+      "grad_norm": 1.4296875,
+      "learning_rate": 6.974794711691125e-05,
+      "loss": 4.4463,
+      "mean_token_accuracy": 0.2392427995800972,
+      "num_tokens": 19276444.0,
+      "step": 10575
+    },
+    {
+      "entropy": 5.207184934616089,
+      "epoch": 8.765534382767191,
+      "grad_norm": 1.4296875,
+      "learning_rate": 6.961723983400733e-05,
+      "loss": 4.4458,
+      "mean_token_accuracy": 0.23648034334182738,
+      "num_tokens": 19286384.0,
+      "step": 10580
+    },
+    {
+      "entropy": 5.176658248901367,
+      "epoch": 8.769676884838443,
+      "grad_norm": 1.5390625,
+      "learning_rate": 6.948694683057456e-05,
+      "loss": 4.4546,
+      "mean_token_accuracy": 0.2312345653772354,
+      "num_tokens": 19295251.0,
+      "step": 10585
+    },
+    {
+      "entropy": 5.224732780456543,
+      "epoch": 8.773819386909693,
+      "grad_norm": 1.5,
+      "learning_rate": 6.935706836942826e-05,
+      "loss": 4.4425,
+      "mean_token_accuracy": 0.24059854596853256,
+      "num_tokens": 19304288.0,
+      "step": 10590
+    },
+    {
+      "entropy": 5.250017404556274,
+      "epoch": 8.777961888980945,
+      "grad_norm": 1.453125,
+      "learning_rate": 6.922760471254738e-05,
+      "loss": 4.4356,
+      "mean_token_accuracy": 0.24030836671590805,
+      "num_tokens": 19312269.0,
+      "step": 10595
+    },
+    {
+      "entropy": 5.115903329849243,
+      "epoch": 8.782104391052195,
+      "grad_norm": 1.4140625,
+      "learning_rate": 6.909855612107437e-05,
+      "loss": 4.3473,
+      "mean_token_accuracy": 0.2516230851411819,
+      "num_tokens": 19320856.0,
+      "step": 10600
+    },
+    {
+      "entropy": 5.177384901046753,
+      "epoch": 8.786246893123447,
+      "grad_norm": 1.546875,
+      "learning_rate": 6.896992285531424e-05,
+      "loss": 4.4072,
+      "mean_token_accuracy": 0.24654482156038285,
+      "num_tokens": 19329427.0,
+      "step": 10605
+    },
+    {
+      "entropy": 5.193833827972412,
+      "epoch": 8.790389395194698,
+      "grad_norm": 1.46875,
+      "learning_rate": 6.884170517473444e-05,
+      "loss": 4.4439,
+      "mean_token_accuracy": 0.24428300708532333,
+      "num_tokens": 19337772.0,
+      "step": 10610
+    },
+    {
+      "entropy": 5.271326208114624,
+      "epoch": 8.794531897265948,
+      "grad_norm": 1.4375,
+      "learning_rate": 6.871390333796398e-05,
+      "loss": 4.4742,
+      "mean_token_accuracy": 0.2410774126648903,
+      "num_tokens": 19346693.0,
+      "step": 10615
+    },
+    {
+      "entropy": 5.241626501083374,
+      "epoch": 8.7986743993372,
+      "grad_norm": 1.359375,
+      "learning_rate": 6.85865176027931e-05,
+      "loss": 4.4086,
+      "mean_token_accuracy": 0.23272228688001634,
+      "num_tokens": 19355606.0,
+      "step": 10620
+    },
+    {
+      "entropy": 5.2006713390350345,
+      "epoch": 8.80281690140845,
+      "grad_norm": 1.2890625,
+      "learning_rate": 6.845954822617284e-05,
+      "loss": 4.4493,
+      "mean_token_accuracy": 0.23586227893829345,
+      "num_tokens": 19365552.0,
+      "step": 10625
+    },
+    {
+      "entropy": 5.243284225463867,
+      "epoch": 8.806959403479702,
+      "grad_norm": 1.5,
+      "learning_rate": 6.833299546421423e-05,
+      "loss": 4.4891,
+      "mean_token_accuracy": 0.2321949765086174,
+      "num_tokens": 19374869.0,
+      "step": 10630
+    },
+    {
+      "entropy": 5.2015196800231935,
+      "epoch": 8.811101905550952,
+      "grad_norm": 1.4375,
+      "learning_rate": 6.820685957218808e-05,
+      "loss": 4.4725,
+      "mean_token_accuracy": 0.23633115440607072,
+      "num_tokens": 19384609.0,
+      "step": 10635
+    },
+    {
+      "entropy": 5.197484254837036,
+      "epoch": 8.815244407622204,
+      "grad_norm": 1.4609375,
+      "learning_rate": 6.80811408045242e-05,
+      "loss": 4.3993,
+      "mean_token_accuracy": 0.23660303950309752,
+      "num_tokens": 19392618.0,
+      "step": 10640
+    },
+    {
+      "entropy": 5.325011968612671,
+      "epoch": 8.819386909693455,
+      "grad_norm": 1.3046875,
+      "learning_rate": 6.795583941481113e-05,
+      "loss": 4.4964,
+      "mean_token_accuracy": 0.23065129816532134,
+      "num_tokens": 19402341.0,
+      "step": 10645
+    },
+    {
+      "entropy": 5.237111806869507,
+      "epoch": 8.823529411764707,
+      "grad_norm": 1.3828125,
+      "learning_rate": 6.783095565579546e-05,
+      "loss": 4.4247,
+      "mean_token_accuracy": 0.23660608232021332,
+      "num_tokens": 19411834.0,
+      "step": 10650
+    },
+    {
+      "entropy": 5.1730334758758545,
+      "epoch": 8.827671913835957,
+      "grad_norm": 1.5234375,
+      "learning_rate": 6.77064897793814e-05,
+      "loss": 4.3767,
+      "mean_token_accuracy": 0.24239009916782378,
+      "num_tokens": 19420820.0,
+      "step": 10655
+    },
+    {
+      "entropy": 5.2696301460266115,
+      "epoch": 8.831814415907209,
+      "grad_norm": 1.328125,
+      "learning_rate": 6.758244203663015e-05,
+      "loss": 4.5166,
+      "mean_token_accuracy": 0.22715218663215636,
+      "num_tokens": 19430321.0,
+      "step": 10660
+    },
+    {
+      "entropy": 5.2090989112854,
+      "epoch": 8.835956917978459,
+      "grad_norm": 1.4140625,
+      "learning_rate": 6.745881267775967e-05,
+      "loss": 4.4195,
+      "mean_token_accuracy": 0.24382660984992982,
+      "num_tokens": 19439134.0,
+      "step": 10665
+    },
+    {
+      "entropy": 5.227123832702636,
+      "epoch": 8.840099420049711,
+      "grad_norm": 1.453125,
+      "learning_rate": 6.733560195214384e-05,
+      "loss": 4.4171,
+      "mean_token_accuracy": 0.24313016086816788,
+      "num_tokens": 19448503.0,
+      "step": 10670
+    },
+    {
+      "entropy": 5.253864049911499,
+      "epoch": 8.844241922120961,
+      "grad_norm": 1.4375,
+      "learning_rate": 6.721281010831209e-05,
+      "loss": 4.5238,
+      "mean_token_accuracy": 0.22644259929656982,
+      "num_tokens": 19458423.0,
+      "step": 10675
+    },
+    {
+      "entropy": 5.188384485244751,
+      "epoch": 8.848384424192211,
+      "grad_norm": 1.59375,
+      "learning_rate": 6.709043739394909e-05,
+      "loss": 4.4126,
+      "mean_token_accuracy": 0.2393592044711113,
+      "num_tokens": 19467346.0,
+      "step": 10680
+    },
+    {
+      "entropy": 5.213257360458374,
+      "epoch": 8.852526926263463,
+      "grad_norm": 1.3984375,
+      "learning_rate": 6.696848405589389e-05,
+      "loss": 4.405,
+      "mean_token_accuracy": 0.23745912164449692,
+      "num_tokens": 19476659.0,
+      "step": 10685
+    },
+    {
+      "entropy": 5.17372498512268,
+      "epoch": 8.856669428334714,
+      "grad_norm": 1.28125,
+      "learning_rate": 6.68469503401398e-05,
+      "loss": 4.3642,
+      "mean_token_accuracy": 0.2439992055296898,
+      "num_tokens": 19486036.0,
+      "step": 10690
+    },
+    {
+      "entropy": 5.196323728561401,
+      "epoch": 8.860811930405966,
+      "grad_norm": 1.5390625,
+      "learning_rate": 6.672583649183346e-05,
+      "loss": 4.4265,
+      "mean_token_accuracy": 0.23652248829603195,
+      "num_tokens": 19494964.0,
+      "step": 10695
+    },
+    {
+      "entropy": 5.1759912967681885,
+      "epoch": 8.864954432477216,
+      "grad_norm": 1.4453125,
+      "learning_rate": 6.66051427552749e-05,
+      "loss": 4.4115,
+      "mean_token_accuracy": 0.23101080656051637,
+      "num_tokens": 19503293.0,
+      "step": 10700
+    },
+    {
+      "entropy": 5.194973659515381,
+      "epoch": 8.869096934548468,
+      "grad_norm": 1.375,
+      "learning_rate": 6.648486937391651e-05,
+      "loss": 4.4138,
+      "mean_token_accuracy": 0.23854047656059266,
+      "num_tokens": 19512286.0,
+      "step": 10705
+    },
+    {
+      "entropy": 5.3320365905761715,
+      "epoch": 8.873239436619718,
+      "grad_norm": 1.4765625,
+      "learning_rate": 6.636501659036278e-05,
+      "loss": 4.5414,
+      "mean_token_accuracy": 0.23179779797792435,
+      "num_tokens": 19522244.0,
+      "step": 10710
+    },
+    {
+      "entropy": 5.28638482093811,
+      "epoch": 8.87738193869097,
+      "grad_norm": 1.484375,
+      "learning_rate": 6.624558464636999e-05,
+      "loss": 4.5013,
+      "mean_token_accuracy": 0.22948451787233354,
+      "num_tokens": 19531811.0,
+      "step": 10715
+    },
+    {
+      "entropy": 5.264835834503174,
+      "epoch": 8.88152444076222,
+      "grad_norm": 1.5546875,
+      "learning_rate": 6.612657378284528e-05,
+      "loss": 4.5213,
+      "mean_token_accuracy": 0.22773118317127228,
+      "num_tokens": 19541569.0,
+      "step": 10720
+    },
+    {
+      "entropy": 5.170029401779175,
+      "epoch": 8.885666942833472,
+      "grad_norm": 1.4453125,
+      "learning_rate": 6.600798423984671e-05,
+      "loss": 4.4033,
+      "mean_token_accuracy": 0.24277371019124985,
+      "num_tokens": 19549904.0,
+      "step": 10725
+    },
+    {
+      "entropy": 5.190405988693238,
+      "epoch": 8.889809444904722,
+      "grad_norm": 1.453125,
+      "learning_rate": 6.588981625658227e-05,
+      "loss": 4.3817,
+      "mean_token_accuracy": 0.23957409858703613,
+      "num_tokens": 19558804.0,
+      "step": 10730
+    },
+    {
+      "entropy": 5.217440891265869,
+      "epoch": 8.893951946975973,
+      "grad_norm": 1.5546875,
+      "learning_rate": 6.577207007140969e-05,
+      "loss": 4.3608,
+      "mean_token_accuracy": 0.23985767215490342,
+      "num_tokens": 19567060.0,
+      "step": 10735
+    },
+    {
+      "entropy": 5.19472222328186,
+      "epoch": 8.898094449047225,
+      "grad_norm": 1.1640625,
+      "learning_rate": 6.565474592183594e-05,
+      "loss": 4.4563,
+      "mean_token_accuracy": 0.22792308479547502,
+      "num_tokens": 19576813.0,
+      "step": 10740
+    },
+    {
+      "entropy": 5.1734171390533445,
+      "epoch": 8.902236951118475,
+      "grad_norm": 1.5859375,
+      "learning_rate": 6.553784404451656e-05,
+      "loss": 4.3938,
+      "mean_token_accuracy": 0.24176628440618514,
+      "num_tokens": 19585551.0,
+      "step": 10745
+    },
+    {
+      "entropy": 5.209146022796631,
+      "epoch": 8.906379453189727,
+      "grad_norm": 1.4453125,
+      "learning_rate": 6.542136467525555e-05,
+      "loss": 4.4267,
+      "mean_token_accuracy": 0.24028485119342805,
+      "num_tokens": 19595085.0,
+      "step": 10750
+    },
+    {
+      "entropy": 5.2165689945220945,
+      "epoch": 8.910521955260977,
+      "grad_norm": 1.46875,
+      "learning_rate": 6.530530804900441e-05,
+      "loss": 4.4002,
+      "mean_token_accuracy": 0.24325739294290544,
+      "num_tokens": 19603260.0,
+      "step": 10755
+    },
+    {
+      "entropy": 5.267740869522095,
+      "epoch": 8.91466445733223,
+      "grad_norm": 1.4453125,
+      "learning_rate": 6.518967439986209e-05,
+      "loss": 4.4805,
+      "mean_token_accuracy": 0.23566019982099534,
+      "num_tokens": 19611608.0,
+      "step": 10760
+    },
+    {
+      "entropy": 5.180595397949219,
+      "epoch": 8.91880695940348,
+      "grad_norm": 1.40625,
+      "learning_rate": 6.507446396107429e-05,
+      "loss": 4.3493,
+      "mean_token_accuracy": 0.24578822106122972,
+      "num_tokens": 19620214.0,
+      "step": 10765
+    },
+    {
+      "entropy": 5.2280592918396,
+      "epoch": 8.922949461474731,
+      "grad_norm": 1.53125,
+      "learning_rate": 6.495967696503303e-05,
+      "loss": 4.4435,
+      "mean_token_accuracy": 0.23996175080537796,
+      "num_tokens": 19629227.0,
+      "step": 10770
+    },
+    {
+      "entropy": 5.27520432472229,
+      "epoch": 8.927091963545982,
+      "grad_norm": 1.328125,
+      "learning_rate": 6.484531364327629e-05,
+      "loss": 4.4556,
+      "mean_token_accuracy": 0.23641515225172044,
+      "num_tokens": 19638348.0,
+      "step": 10775
+    },
+    {
+      "entropy": 5.2056111812591555,
+      "epoch": 8.931234465617234,
+      "grad_norm": 1.6484375,
+      "learning_rate": 6.473137422648728e-05,
+      "loss": 4.324,
+      "mean_token_accuracy": 0.2567539796233177,
+      "num_tokens": 19646480.0,
+      "step": 10780
+    },
+    {
+      "entropy": 5.229280662536621,
+      "epoch": 8.935376967688484,
+      "grad_norm": 1.4921875,
+      "learning_rate": 6.461785894449434e-05,
+      "loss": 4.4321,
+      "mean_token_accuracy": 0.23481076061725617,
+      "num_tokens": 19656188.0,
+      "step": 10785
+    },
+    {
+      "entropy": 5.175144863128662,
+      "epoch": 8.939519469759734,
+      "grad_norm": 1.4765625,
+      "learning_rate": 6.45047680262702e-05,
+      "loss": 4.467,
+      "mean_token_accuracy": 0.22823356539011003,
+      "num_tokens": 19664849.0,
+      "step": 10790
+    },
+    {
+      "entropy": 5.211564922332764,
+      "epoch": 8.943661971830986,
+      "grad_norm": 1.2734375,
+      "learning_rate": 6.439210169993153e-05,
+      "loss": 4.3996,
+      "mean_token_accuracy": 0.24241889715194703,
+      "num_tokens": 19675104.0,
+      "step": 10795
+    },
+    {
+      "entropy": 5.206510925292969,
+      "epoch": 8.947804473902236,
+      "grad_norm": 1.375,
+      "learning_rate": 6.427986019273873e-05,
+      "loss": 4.4381,
+      "mean_token_accuracy": 0.2374054729938507,
+      "num_tokens": 19685009.0,
+      "step": 10800
+    },
+    {
+      "entropy": 5.23604679107666,
+      "epoch": 8.951946975973488,
+      "grad_norm": 1.5234375,
+      "learning_rate": 6.416804373109507e-05,
+      "loss": 4.4553,
+      "mean_token_accuracy": 0.23570877611637114,
+      "num_tokens": 19694190.0,
+      "step": 10805
+    },
+    {
+      "entropy": 5.198193025588989,
+      "epoch": 8.956089478044738,
+      "grad_norm": 1.4765625,
+      "learning_rate": 6.405665254054666e-05,
+      "loss": 4.4617,
+      "mean_token_accuracy": 0.22833957821130751,
+      "num_tokens": 19703571.0,
+      "step": 10810
+    },
+    {
+      "entropy": 5.207875490188599,
+      "epoch": 8.96023198011599,
+      "grad_norm": 1.3515625,
+      "learning_rate": 6.394568684578165e-05,
+      "loss": 4.4241,
+      "mean_token_accuracy": 0.24091086834669112,
+      "num_tokens": 19713365.0,
+      "step": 10815
+    },
+    {
+      "entropy": 5.3342712879180905,
+      "epoch": 8.96437448218724,
+      "grad_norm": 1.546875,
+      "learning_rate": 6.383514687063e-05,
+      "loss": 4.5471,
+      "mean_token_accuracy": 0.23511630594730376,
+      "num_tokens": 19722535.0,
+      "step": 10820
+    },
+    {
+      "entropy": 5.124732971191406,
+      "epoch": 8.968516984258493,
+      "grad_norm": 1.4765625,
+      "learning_rate": 6.372503283806291e-05,
+      "loss": 4.3688,
+      "mean_token_accuracy": 0.24532900452613832,
+      "num_tokens": 19731563.0,
+      "step": 10825
+    },
+    {
+      "entropy": 5.236607599258423,
+      "epoch": 8.972659486329743,
+      "grad_norm": 1.453125,
+      "learning_rate": 6.36153449701924e-05,
+      "loss": 4.492,
+      "mean_token_accuracy": 0.23433683216571807,
+      "num_tokens": 19741093.0,
+      "step": 10830
+    },
+    {
+      "entropy": 5.235393095016479,
+      "epoch": 8.976801988400995,
+      "grad_norm": 1.390625,
+      "learning_rate": 6.350608348827096e-05,
+      "loss": 4.4477,
+      "mean_token_accuracy": 0.23411636352539061,
+      "num_tokens": 19749489.0,
+      "step": 10835
+    },
+    {
+      "entropy": 5.228500127792358,
+      "epoch": 8.980944490472245,
+      "grad_norm": 1.484375,
+      "learning_rate": 6.339724861269085e-05,
+      "loss": 4.4642,
+      "mean_token_accuracy": 0.23431311100721358,
+      "num_tokens": 19758745.0,
+      "step": 10840
+    },
+    {
+      "entropy": 5.251041412353516,
+      "epoch": 8.985086992543497,
+      "grad_norm": 1.3671875,
+      "learning_rate": 6.328884056298393e-05,
+      "loss": 4.5074,
+      "mean_token_accuracy": 0.22834719121456146,
+      "num_tokens": 19767713.0,
+      "step": 10845
+    },
+    {
+      "entropy": 5.217907953262329,
+      "epoch": 8.989229494614747,
+      "grad_norm": 1.328125,
+      "learning_rate": 6.31808595578211e-05,
+      "loss": 4.4852,
+      "mean_token_accuracy": 0.2333643764257431,
+      "num_tokens": 19777236.0,
+      "step": 10850
+    },
+    {
+      "entropy": 5.1644727230072025,
+      "epoch": 8.993371996685998,
+      "grad_norm": 1.46875,
+      "learning_rate": 6.307330581501183e-05,
+      "loss": 4.3734,
+      "mean_token_accuracy": 0.24639918506145478,
+      "num_tokens": 19785981.0,
+      "step": 10855
+    },
+    {
+      "entropy": 5.195607471466064,
+      "epoch": 8.99751449875725,
+      "grad_norm": 1.546875,
+      "learning_rate": 6.29661795515038e-05,
+      "loss": 4.464,
+      "mean_token_accuracy": 0.23550200313329697,
+      "num_tokens": 19795046.0,
+      "step": 10860
+    },
+    {
+      "entropy": 5.301530122756958,
+      "epoch": 9.0016570008285,
+      "grad_norm": 1.4921875,
+      "learning_rate": 6.285948098338238e-05,
+      "loss": 4.4776,
+      "mean_token_accuracy": 0.2346542462706566,
+      "num_tokens": 19803108.0,
+      "step": 10865
+    },
+    {
+      "entropy": 5.265822219848633,
+      "epoch": 9.005799502899752,
+      "grad_norm": 1.359375,
+      "learning_rate": 6.27532103258702e-05,
+      "loss": 4.4339,
+      "mean_token_accuracy": 0.23500234484672547,
+      "num_tokens": 19812751.0,
+      "step": 10870
+    },
+    {
+      "entropy": 5.236967515945435,
+      "epoch": 9.009942004971002,
+      "grad_norm": 1.4375,
+      "learning_rate": 6.26473677933269e-05,
+      "loss": 4.4317,
+      "mean_token_accuracy": 0.24202024787664414,
+      "num_tokens": 19821634.0,
+      "step": 10875
+    },
+    {
+      "entropy": 5.206866502761841,
+      "epoch": 9.014084507042254,
+      "grad_norm": 1.3671875,
+      "learning_rate": 6.254195359924827e-05,
+      "loss": 4.3658,
+      "mean_token_accuracy": 0.24844859838485717,
+      "num_tokens": 19830760.0,
+      "step": 10880
+    },
+    {
+      "entropy": 5.134595823287964,
+      "epoch": 9.018227009113504,
+      "grad_norm": 1.3828125,
+      "learning_rate": 6.24369679562664e-05,
+      "loss": 4.2893,
+      "mean_token_accuracy": 0.25201261341571807,
+      "num_tokens": 19839463.0,
+      "step": 10885
+    },
+    {
+      "entropy": 5.170546007156372,
+      "epoch": 9.022369511184756,
+      "grad_norm": 1.390625,
+      "learning_rate": 6.233241107614875e-05,
+      "loss": 4.348,
+      "mean_token_accuracy": 0.24622674733400346,
+      "num_tokens": 19848256.0,
+      "step": 10890
+    },
+    {
+      "entropy": 5.220857858657837,
+      "epoch": 9.026512013256006,
+      "grad_norm": 1.328125,
+      "learning_rate": 6.222828316979798e-05,
+      "loss": 4.4067,
+      "mean_token_accuracy": 0.2488214135169983,
+      "num_tokens": 19857572.0,
+      "step": 10895
+    },
+    {
+      "entropy": 5.213380241394043,
+      "epoch": 9.030654515327258,
+      "grad_norm": 1.390625,
+      "learning_rate": 6.212458444725146e-05,
+      "loss": 4.4407,
+      "mean_token_accuracy": 0.2404656767845154,
+      "num_tokens": 19866825.0,
+      "step": 10900
+    },
+    {
+      "entropy": 5.333277177810669,
+      "epoch": 9.034797017398509,
+      "grad_norm": 1.421875,
+      "learning_rate": 6.202131511768079e-05,
+      "loss": 4.5306,
+      "mean_token_accuracy": 0.2320836752653122,
+      "num_tokens": 19875970.0,
+      "step": 10905
+    },
+    {
+      "entropy": 5.19785590171814,
+      "epoch": 9.03893951946976,
+      "grad_norm": 1.421875,
+      "learning_rate": 6.19184753893916e-05,
+      "loss": 4.3649,
+      "mean_token_accuracy": 0.24742332100868225,
+      "num_tokens": 19884910.0,
+      "step": 10910
+    },
+    {
+      "entropy": 5.254814195632934,
+      "epoch": 9.04308202154101,
+      "grad_norm": 1.5390625,
+      "learning_rate": 6.181606546982274e-05,
+      "loss": 4.4473,
+      "mean_token_accuracy": 0.23443322479724885,
+      "num_tokens": 19894838.0,
+      "step": 10915
+    },
+    {
+      "entropy": 5.31064190864563,
+      "epoch": 9.047224523612261,
+      "grad_norm": 1.3515625,
+      "learning_rate": 6.171408556554633e-05,
+      "loss": 4.5176,
+      "mean_token_accuracy": 0.23148290067911148,
+      "num_tokens": 19904809.0,
+      "step": 10920
+    },
+    {
+      "entropy": 5.150750684738159,
+      "epoch": 9.051367025683513,
+      "grad_norm": 1.359375,
+      "learning_rate": 6.16125358822669e-05,
+      "loss": 4.278,
+      "mean_token_accuracy": 0.25764970630407336,
+      "num_tokens": 19913549.0,
+      "step": 10925
+    },
+    {
+      "entropy": 5.20046558380127,
+      "epoch": 9.055509527754763,
+      "grad_norm": 1.484375,
+      "learning_rate": 6.151141662482126e-05,
+      "loss": 4.392,
+      "mean_token_accuracy": 0.24374349564313888,
+      "num_tokens": 19922572.0,
+      "step": 10930
+    },
+    {
+      "entropy": 5.273454380035401,
+      "epoch": 9.059652029826015,
+      "grad_norm": 1.3203125,
+      "learning_rate": 6.141072799717805e-05,
+      "loss": 4.4997,
+      "mean_token_accuracy": 0.23127662241458893,
+      "num_tokens": 19932058.0,
+      "step": 10935
+    },
+    {
+      "entropy": 5.156973218917846,
+      "epoch": 9.063794531897265,
+      "grad_norm": 1.4765625,
+      "learning_rate": 6.131047020243717e-05,
+      "loss": 4.3323,
+      "mean_token_accuracy": 0.24524755626916886,
+      "num_tokens": 19940406.0,
+      "step": 10940
+    },
+    {
+      "entropy": 5.210061025619507,
+      "epoch": 9.067937033968517,
+      "grad_norm": 1.3515625,
+      "learning_rate": 6.121064344282962e-05,
+      "loss": 4.4013,
+      "mean_token_accuracy": 0.2429831638932228,
+      "num_tokens": 19949181.0,
+      "step": 10945
+    },
+    {
+      "entropy": 5.285635852813721,
+      "epoch": 9.072079536039768,
+      "grad_norm": 1.46875,
+      "learning_rate": 6.111124791971687e-05,
+      "loss": 4.455,
+      "mean_token_accuracy": 0.2381931722164154,
+      "num_tokens": 19958159.0,
+      "step": 10950
+    },
+    {
+      "entropy": 5.203660869598389,
+      "epoch": 9.07622203811102,
+      "grad_norm": 1.4296875,
+      "learning_rate": 6.1012283833590465e-05,
+      "loss": 4.4073,
+      "mean_token_accuracy": 0.23713038712739945,
+      "num_tokens": 19967614.0,
+      "step": 10955
+    },
+    {
+      "entropy": 5.19450831413269,
+      "epoch": 9.08036454018227,
+      "grad_norm": 1.390625,
+      "learning_rate": 6.091375138407189e-05,
+      "loss": 4.3645,
+      "mean_token_accuracy": 0.24391285181045533,
+      "num_tokens": 19977697.0,
+      "step": 10960
+    },
+    {
+      "entropy": 5.286946868896484,
+      "epoch": 9.084507042253522,
+      "grad_norm": 1.390625,
+      "learning_rate": 6.0815650769911774e-05,
+      "loss": 4.4528,
+      "mean_token_accuracy": 0.23440741002559662,
+      "num_tokens": 19986152.0,
+      "step": 10965
+    },
+    {
+      "entropy": 5.234480237960815,
+      "epoch": 9.088649544324772,
+      "grad_norm": 1.40625,
+      "learning_rate": 6.0717982188989884e-05,
+      "loss": 4.4269,
+      "mean_token_accuracy": 0.2272487089037895,
+      "num_tokens": 19995904.0,
+      "step": 10970
+    },
+    {
+      "entropy": 5.219088220596314,
+      "epoch": 9.092792046396022,
+      "grad_norm": 1.4140625,
+      "learning_rate": 6.062074583831432e-05,
+      "loss": 4.4299,
+      "mean_token_accuracy": 0.2481380894780159,
+      "num_tokens": 20005516.0,
+      "step": 10975
+    },
+    {
+      "entropy": 5.197182607650757,
+      "epoch": 9.096934548467274,
+      "grad_norm": 1.40625,
+      "learning_rate": 6.052394191402145e-05,
+      "loss": 4.3823,
+      "mean_token_accuracy": 0.23788939118385316,
+      "num_tokens": 20014183.0,
+      "step": 10980
+    },
+    {
+      "entropy": 5.199581241607666,
+      "epoch": 9.101077050538525,
+      "grad_norm": 1.40625,
+      "learning_rate": 6.042757061137545e-05,
+      "loss": 4.4078,
+      "mean_token_accuracy": 0.23736743181943892,
+      "num_tokens": 20023537.0,
+      "step": 10985
+    },
+    {
+      "entropy": 5.305942583084106,
+      "epoch": 9.105219552609777,
+      "grad_norm": 1.4609375,
+      "learning_rate": 6.033163212476762e-05,
+      "loss": 4.4498,
+      "mean_token_accuracy": 0.24004426300525666,
+      "num_tokens": 20032639.0,
+      "step": 10990
+    },
+    {
+      "entropy": 5.27437014579773,
+      "epoch": 9.109362054681027,
+      "grad_norm": 1.4453125,
+      "learning_rate": 6.023612664771651e-05,
+      "loss": 4.4331,
+      "mean_token_accuracy": 0.24564536660909653,
+      "num_tokens": 20041273.0,
+      "step": 10995
+    },
+    {
+      "entropy": 5.284713315963745,
+      "epoch": 9.113504556752279,
+      "grad_norm": 1.5234375,
+      "learning_rate": 6.014105437286705e-05,
+      "loss": 4.3282,
+      "mean_token_accuracy": 0.2430446207523346,
+      "num_tokens": 20049730.0,
+      "step": 11000
+    },
+    {
+      "epoch": 9.113504556752279,
+      "eval_entropy": 5.114147528910688,
+      "eval_loss": 5.719377517700195,
+      "eval_mean_token_accuracy": 0.16999920770557705,
+      "eval_num_tokens": 20049730.0,
+      "eval_runtime": 2.9375,
+      "eval_samples_per_second": 1275.591,
+      "eval_steps_per_second": 159.662,
+      "step": 11000
+    },
+    {
+      "entropy": 5.24180040359497,
+      "epoch": 9.117647058823529,
+      "grad_norm": 1.4765625,
+      "learning_rate": 6.0046415491990355e-05,
+      "loss": 4.3937,
+      "mean_token_accuracy": 0.25516707450151443,
+      "num_tokens": 20059151.0,
+      "step": 11005
+    },
+    {
+      "entropy": 5.202413511276245,
+      "epoch": 9.121789560894781,
+      "grad_norm": 1.5078125,
+      "learning_rate": 5.99522101959835e-05,
+      "loss": 4.3887,
+      "mean_token_accuracy": 0.24211544394493104,
+      "num_tokens": 20068389.0,
+      "step": 11010
+    },
+    {
+      "entropy": 5.281368446350098,
+      "epoch": 9.125932062966031,
+      "grad_norm": 1.4140625,
+      "learning_rate": 5.9858438674868744e-05,
+      "loss": 4.4735,
+      "mean_token_accuracy": 0.23574235886335373,
+      "num_tokens": 20077794.0,
+      "step": 11015
+    },
+    {
+      "entropy": 5.1950140476226805,
+      "epoch": 9.130074565037283,
+      "grad_norm": 1.4921875,
+      "learning_rate": 5.976510111779359e-05,
+      "loss": 4.3843,
+      "mean_token_accuracy": 0.24050966948270797,
+      "num_tokens": 20086641.0,
+      "step": 11020
+    },
+    {
+      "entropy": 5.214427185058594,
+      "epoch": 9.134217067108533,
+      "grad_norm": 1.375,
+      "learning_rate": 5.9672197713030044e-05,
+      "loss": 4.4005,
+      "mean_token_accuracy": 0.23612942844629287,
+      "num_tokens": 20095746.0,
+      "step": 11025
+    },
+    {
+      "entropy": 5.1744287490844725,
+      "epoch": 9.138359569179785,
+      "grad_norm": 1.3125,
+      "learning_rate": 5.9579728647974416e-05,
+      "loss": 4.408,
+      "mean_token_accuracy": 0.24396653473377228,
+      "num_tokens": 20105381.0,
+      "step": 11030
+    },
+    {
+      "entropy": 5.203481578826905,
+      "epoch": 9.142502071251036,
+      "grad_norm": 1.3515625,
+      "learning_rate": 5.948769410914694e-05,
+      "loss": 4.3372,
+      "mean_token_accuracy": 0.2436691477894783,
+      "num_tokens": 20114543.0,
+      "step": 11035
+    },
+    {
+      "entropy": 5.192698907852173,
+      "epoch": 9.146644573322286,
+      "grad_norm": 1.3828125,
+      "learning_rate": 5.939609428219131e-05,
+      "loss": 4.3978,
+      "mean_token_accuracy": 0.23308191001415252,
+      "num_tokens": 20123528.0,
+      "step": 11040
+    },
+    {
+      "entropy": 5.177680969238281,
+      "epoch": 9.150787075393538,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.930492935187446e-05,
+      "loss": 4.3551,
+      "mean_token_accuracy": 0.24980314522981645,
+      "num_tokens": 20132619.0,
+      "step": 11045
+    },
+    {
+      "entropy": 5.209997129440308,
+      "epoch": 9.154929577464788,
+      "grad_norm": 1.4453125,
+      "learning_rate": 5.921419950208592e-05,
+      "loss": 4.3518,
+      "mean_token_accuracy": 0.2526188284158707,
+      "num_tokens": 20140938.0,
+      "step": 11050
+    },
+    {
+      "entropy": 5.241106605529785,
+      "epoch": 9.15907207953604,
+      "grad_norm": 1.515625,
+      "learning_rate": 5.912390491583776e-05,
+      "loss": 4.4235,
+      "mean_token_accuracy": 0.23612497448921205,
+      "num_tokens": 20149925.0,
+      "step": 11055
+    },
+    {
+      "entropy": 5.194478845596313,
+      "epoch": 9.16321458160729,
+      "grad_norm": 1.4453125,
+      "learning_rate": 5.9034045775264016e-05,
+      "loss": 4.3755,
+      "mean_token_accuracy": 0.24702086597681044,
+      "num_tokens": 20158487.0,
+      "step": 11060
+    },
+    {
+      "entropy": 5.317248868942261,
+      "epoch": 9.167357083678542,
+      "grad_norm": 1.2734375,
+      "learning_rate": 5.894462226162042e-05,
+      "loss": 4.5343,
+      "mean_token_accuracy": 0.22942538410425187,
+      "num_tokens": 20168185.0,
+      "step": 11065
+    },
+    {
+      "entropy": 5.223442888259887,
+      "epoch": 9.171499585749793,
+      "grad_norm": 1.5,
+      "learning_rate": 5.8855634555283954e-05,
+      "loss": 4.3716,
+      "mean_token_accuracy": 0.25171531438827516,
+      "num_tokens": 20176629.0,
+      "step": 11070
+    },
+    {
+      "entropy": 5.173899793624878,
+      "epoch": 9.175642087821045,
+      "grad_norm": 1.515625,
+      "learning_rate": 5.876708283575254e-05,
+      "loss": 4.2819,
+      "mean_token_accuracy": 0.24907022416591645,
+      "num_tokens": 20185269.0,
+      "step": 11075
+    },
+    {
+      "entropy": 5.215456008911133,
+      "epoch": 9.179784589892295,
+      "grad_norm": 1.375,
+      "learning_rate": 5.867896728164468e-05,
+      "loss": 4.4236,
+      "mean_token_accuracy": 0.23553382754325866,
+      "num_tokens": 20194414.0,
+      "step": 11080
+    },
+    {
+      "entropy": 5.202685594558716,
+      "epoch": 9.183927091963547,
+      "grad_norm": 1.40625,
+      "learning_rate": 5.859128807069905e-05,
+      "loss": 4.3699,
+      "mean_token_accuracy": 0.2423833727836609,
+      "num_tokens": 20203139.0,
+      "step": 11085
+    },
+    {
+      "entropy": 5.1953950881958,
+      "epoch": 9.188069594034797,
+      "grad_norm": 1.4296875,
+      "learning_rate": 5.8504045379774246e-05,
+      "loss": 4.3555,
+      "mean_token_accuracy": 0.23990215510129928,
+      "num_tokens": 20211767.0,
+      "step": 11090
+    },
+    {
+      "entropy": 5.214787769317627,
+      "epoch": 9.192212096106047,
+      "grad_norm": 1.4140625,
+      "learning_rate": 5.841723938484826e-05,
+      "loss": 4.383,
+      "mean_token_accuracy": 0.23939463198184968,
+      "num_tokens": 20219916.0,
+      "step": 11095
+    },
+    {
+      "entropy": 5.167069292068481,
+      "epoch": 9.1963545981773,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.833087026101834e-05,
+      "loss": 4.3952,
+      "mean_token_accuracy": 0.2448927640914917,
+      "num_tokens": 20229082.0,
+      "step": 11100
+    },
+    {
+      "entropy": 5.230984497070312,
+      "epoch": 9.20049710024855,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.824493818250034e-05,
+      "loss": 4.48,
+      "mean_token_accuracy": 0.23048989474773407,
+      "num_tokens": 20238758.0,
+      "step": 11105
+    },
+    {
+      "entropy": 5.170281887054443,
+      "epoch": 9.204639602319801,
+      "grad_norm": 1.5625,
+      "learning_rate": 5.815944332262878e-05,
+      "loss": 4.386,
+      "mean_token_accuracy": 0.2369576647877693,
+      "num_tokens": 20248308.0,
+      "step": 11110
+    },
+    {
+      "entropy": 5.127435874938965,
+      "epoch": 9.208782104391052,
+      "grad_norm": 1.4296875,
+      "learning_rate": 5.8074385853856035e-05,
+      "loss": 4.2005,
+      "mean_token_accuracy": 0.2596850335597992,
+      "num_tokens": 20257282.0,
+      "step": 11115
+    },
+    {
+      "entropy": 5.232883644104004,
+      "epoch": 9.212924606462304,
+      "grad_norm": 1.4140625,
+      "learning_rate": 5.7989765947752384e-05,
+      "loss": 4.4306,
+      "mean_token_accuracy": 0.23911173194646834,
+      "num_tokens": 20267680.0,
+      "step": 11120
+    },
+    {
+      "entropy": 5.277715063095092,
+      "epoch": 9.217067108533554,
+      "grad_norm": 1.640625,
+      "learning_rate": 5.790558377500537e-05,
+      "loss": 4.4414,
+      "mean_token_accuracy": 0.23982625156641008,
+      "num_tokens": 20276679.0,
+      "step": 11125
+    },
+    {
+      "entropy": 5.199434614181518,
+      "epoch": 9.221209610604806,
+      "grad_norm": 1.4453125,
+      "learning_rate": 5.7821839505419636e-05,
+      "loss": 4.3163,
+      "mean_token_accuracy": 0.2499776855111122,
+      "num_tokens": 20285287.0,
+      "step": 11130
+    },
+    {
+      "entropy": 5.310716199874878,
+      "epoch": 9.225352112676056,
+      "grad_norm": 1.453125,
+      "learning_rate": 5.773853330791659e-05,
+      "loss": 4.4674,
+      "mean_token_accuracy": 0.23559706211090087,
+      "num_tokens": 20294558.0,
+      "step": 11135
+    },
+    {
+      "entropy": 5.209498119354248,
+      "epoch": 9.229494614747308,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.765566535053383e-05,
+      "loss": 4.4195,
+      "mean_token_accuracy": 0.24156573712825774,
+      "num_tokens": 20303451.0,
+      "step": 11140
+    },
+    {
+      "entropy": 5.204775094985962,
+      "epoch": 9.233637116818558,
+      "grad_norm": 1.4140625,
+      "learning_rate": 5.757323580042519e-05,
+      "loss": 4.3682,
+      "mean_token_accuracy": 0.241061794757843,
+      "num_tokens": 20312210.0,
+      "step": 11145
+    },
+    {
+      "entropy": 5.200506544113159,
+      "epoch": 9.23777961888981,
+      "grad_norm": 1.3984375,
+      "learning_rate": 5.7491244823860026e-05,
+      "loss": 4.4276,
+      "mean_token_accuracy": 0.2461535409092903,
+      "num_tokens": 20321636.0,
+      "step": 11150
+    },
+    {
+      "entropy": 5.105093193054199,
+      "epoch": 9.24192212096106,
+      "grad_norm": 1.40625,
+      "learning_rate": 5.7409692586223105e-05,
+      "loss": 4.2783,
+      "mean_token_accuracy": 0.24930579364299774,
+      "num_tokens": 20330210.0,
+      "step": 11155
+    },
+    {
+      "entropy": 5.175314474105835,
+      "epoch": 9.24606462303231,
+      "grad_norm": 1.5546875,
+      "learning_rate": 5.7328579252014204e-05,
+      "loss": 4.3896,
+      "mean_token_accuracy": 0.23808914572000503,
+      "num_tokens": 20338992.0,
+      "step": 11160
+    },
+    {
+      "entropy": 5.202330017089844,
+      "epoch": 9.250207125103563,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.724790498484778e-05,
+      "loss": 4.4045,
+      "mean_token_accuracy": 0.24115368276834487,
+      "num_tokens": 20347645.0,
+      "step": 11165
+    },
+    {
+      "entropy": 5.173482513427734,
+      "epoch": 9.254349627174813,
+      "grad_norm": 1.4296875,
+      "learning_rate": 5.7167669947452654e-05,
+      "loss": 4.3566,
+      "mean_token_accuracy": 0.2447153389453888,
+      "num_tokens": 20355415.0,
+      "step": 11170
+    },
+    {
+      "entropy": 5.183321619033814,
+      "epoch": 9.258492129246065,
+      "grad_norm": 1.5703125,
+      "learning_rate": 5.708787430167163e-05,
+      "loss": 4.3823,
+      "mean_token_accuracy": 0.2521390214562416,
+      "num_tokens": 20365238.0,
+      "step": 11175
+    },
+    {
+      "entropy": 5.227640199661255,
+      "epoch": 9.262634631317315,
+      "grad_norm": 1.3359375,
+      "learning_rate": 5.700851820846129e-05,
+      "loss": 4.3807,
+      "mean_token_accuracy": 0.2528798535466194,
+      "num_tokens": 20374522.0,
+      "step": 11180
+    },
+    {
+      "entropy": 5.251240873336792,
+      "epoch": 9.266777133388567,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.69296018278915e-05,
+      "loss": 4.3973,
+      "mean_token_accuracy": 0.24214224219322206,
+      "num_tokens": 20383449.0,
+      "step": 11185
+    },
+    {
+      "entropy": 5.21783037185669,
+      "epoch": 9.270919635459817,
+      "grad_norm": 1.4296875,
+      "learning_rate": 5.685112531914531e-05,
+      "loss": 4.4003,
+      "mean_token_accuracy": 0.2373995766043663,
+      "num_tokens": 20392236.0,
+      "step": 11190
+    },
+    {
+      "entropy": 5.172263288497925,
+      "epoch": 9.27506213753107,
+      "grad_norm": 1.5078125,
+      "learning_rate": 5.677308884051833e-05,
+      "loss": 4.3772,
+      "mean_token_accuracy": 0.23038736283779143,
+      "num_tokens": 20401416.0,
+      "step": 11195
+    },
+    {
+      "entropy": 5.218154096603394,
+      "epoch": 9.27920463960232,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.669549254941865e-05,
+      "loss": 4.3792,
+      "mean_token_accuracy": 0.24804492741823198,
+      "num_tokens": 20410136.0,
+      "step": 11200
+    },
+    {
+      "entropy": 5.19579849243164,
+      "epoch": 9.283347141673572,
+      "grad_norm": 1.390625,
+      "learning_rate": 5.661833660236657e-05,
+      "loss": 4.4006,
+      "mean_token_accuracy": 0.2395488888025284,
+      "num_tokens": 20419527.0,
+      "step": 11205
+    },
+    {
+      "entropy": 5.1951089859008786,
+      "epoch": 9.287489643744822,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.6541621154993956e-05,
+      "loss": 4.3813,
+      "mean_token_accuracy": 0.24335796087980271,
+      "num_tokens": 20428540.0,
+      "step": 11210
+    },
+    {
+      "entropy": 5.2156908988952635,
+      "epoch": 9.291632145816074,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.646534636204434e-05,
+      "loss": 4.3591,
+      "mean_token_accuracy": 0.2517013385891914,
+      "num_tokens": 20437979.0,
+      "step": 11215
+    },
+    {
+      "entropy": 5.294255638122559,
+      "epoch": 9.295774647887324,
+      "grad_norm": 1.4453125,
+      "learning_rate": 5.6389512377372245e-05,
+      "loss": 4.4703,
+      "mean_token_accuracy": 0.23591685444116592,
+      "num_tokens": 20447352.0,
+      "step": 11220
+    },
+    {
+      "entropy": 5.196146535873413,
+      "epoch": 9.299917149958574,
+      "grad_norm": 1.4609375,
+      "learning_rate": 5.6314119353943155e-05,
+      "loss": 4.4195,
+      "mean_token_accuracy": 0.23184800893068314,
+      "num_tokens": 20456085.0,
+      "step": 11225
+    },
+    {
+      "entropy": 5.144795989990234,
+      "epoch": 9.304059652029826,
+      "grad_norm": 1.453125,
+      "learning_rate": 5.6239167443833004e-05,
+      "loss": 4.293,
+      "mean_token_accuracy": 0.25145078748464583,
+      "num_tokens": 20464629.0,
+      "step": 11230
+    },
+    {
+      "entropy": 5.24092116355896,
+      "epoch": 9.308202154101076,
+      "grad_norm": 1.5,
+      "learning_rate": 5.6164656798227973e-05,
+      "loss": 4.41,
+      "mean_token_accuracy": 0.24018437564373016,
+      "num_tokens": 20473525.0,
+      "step": 11235
+    },
+    {
+      "entropy": 5.281963586807251,
+      "epoch": 9.312344656172328,
+      "grad_norm": 1.3984375,
+      "learning_rate": 5.6090587567424247e-05,
+      "loss": 4.5032,
+      "mean_token_accuracy": 0.23369361460208893,
+      "num_tokens": 20482444.0,
+      "step": 11240
+    },
+    {
+      "entropy": 5.235007619857788,
+      "epoch": 9.316487158243579,
+      "grad_norm": 1.4609375,
+      "learning_rate": 5.60169599008275e-05,
+      "loss": 4.4162,
+      "mean_token_accuracy": 0.24191972315311433,
+      "num_tokens": 20490824.0,
+      "step": 11245
+    },
+    {
+      "entropy": 5.182619524002075,
+      "epoch": 9.32062966031483,
+      "grad_norm": 1.34375,
+      "learning_rate": 5.594377394695277e-05,
+      "loss": 4.42,
+      "mean_token_accuracy": 0.240438874065876,
+      "num_tokens": 20499935.0,
+      "step": 11250
+    },
+    {
+      "entropy": 5.228481864929199,
+      "epoch": 9.32477216238608,
+      "grad_norm": 1.3828125,
+      "learning_rate": 5.587102985342416e-05,
+      "loss": 4.4121,
+      "mean_token_accuracy": 0.2429677814245224,
+      "num_tokens": 20508833.0,
+      "step": 11255
+    },
+    {
+      "entropy": 5.21046781539917,
+      "epoch": 9.328914664457333,
+      "grad_norm": 1.5,
+      "learning_rate": 5.579872776697443e-05,
+      "loss": 4.3938,
+      "mean_token_accuracy": 0.23724178969860077,
+      "num_tokens": 20516960.0,
+      "step": 11260
+    },
+    {
+      "entropy": 5.196974182128907,
+      "epoch": 9.333057166528583,
+      "grad_norm": 1.2109375,
+      "learning_rate": 5.572686783344483e-05,
+      "loss": 4.3739,
+      "mean_token_accuracy": 0.24827260971069337,
+      "num_tokens": 20526009.0,
+      "step": 11265
+    },
+    {
+      "entropy": 5.23128490447998,
+      "epoch": 9.337199668599835,
+      "grad_norm": 1.40625,
+      "learning_rate": 5.565545019778468e-05,
+      "loss": 4.4189,
+      "mean_token_accuracy": 0.23755760490894318,
+      "num_tokens": 20534684.0,
+      "step": 11270
+    },
+    {
+      "entropy": 5.194524431228638,
+      "epoch": 9.341342170671085,
+      "grad_norm": 1.4921875,
+      "learning_rate": 5.558447500405111e-05,
+      "loss": 4.3423,
+      "mean_token_accuracy": 0.2431781142950058,
+      "num_tokens": 20543429.0,
+      "step": 11275
+    },
+    {
+      "entropy": 5.225367164611816,
+      "epoch": 9.345484672742336,
+      "grad_norm": 1.3671875,
+      "learning_rate": 5.5513942395408883e-05,
+      "loss": 4.3467,
+      "mean_token_accuracy": 0.24092029184103012,
+      "num_tokens": 20552928.0,
+      "step": 11280
+    },
+    {
+      "entropy": 5.171789216995239,
+      "epoch": 9.349627174813588,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.544385251412998e-05,
+      "loss": 4.3517,
+      "mean_token_accuracy": 0.2455303981900215,
+      "num_tokens": 20562133.0,
+      "step": 11285
+    },
+    {
+      "entropy": 5.202183961868286,
+      "epoch": 9.353769676884838,
+      "grad_norm": 1.40625,
+      "learning_rate": 5.537420550159335e-05,
+      "loss": 4.399,
+      "mean_token_accuracy": 0.23516155332326888,
+      "num_tokens": 20571901.0,
+      "step": 11290
+    },
+    {
+      "entropy": 5.216619920730591,
+      "epoch": 9.35791217895609,
+      "grad_norm": 1.4296875,
+      "learning_rate": 5.530500149828463e-05,
+      "loss": 4.4419,
+      "mean_token_accuracy": 0.23697989135980607,
+      "num_tokens": 20581503.0,
+      "step": 11295
+    },
+    {
+      "entropy": 5.211494112014771,
+      "epoch": 9.36205468102734,
+      "grad_norm": 1.4296875,
+      "learning_rate": 5.523624064379585e-05,
+      "loss": 4.4523,
+      "mean_token_accuracy": 0.22732136994600297,
+      "num_tokens": 20590338.0,
+      "step": 11300
+    },
+    {
+      "entropy": 5.209840297698975,
+      "epoch": 9.366197183098592,
+      "grad_norm": 1.4609375,
+      "learning_rate": 5.516792307682516e-05,
+      "loss": 4.4431,
+      "mean_token_accuracy": 0.23397488594055177,
+      "num_tokens": 20599305.0,
+      "step": 11305
+    },
+    {
+      "entropy": 5.180578374862671,
+      "epoch": 9.370339685169842,
+      "grad_norm": 1.4140625,
+      "learning_rate": 5.510004893517655e-05,
+      "loss": 4.333,
+      "mean_token_accuracy": 0.24797011613845826,
+      "num_tokens": 20608043.0,
+      "step": 11310
+    },
+    {
+      "entropy": 5.196534729003906,
+      "epoch": 9.374482187241094,
+      "grad_norm": 1.3125,
+      "learning_rate": 5.503261835575965e-05,
+      "loss": 4.4264,
+      "mean_token_accuracy": 0.23905286490917205,
+      "num_tokens": 20617121.0,
+      "step": 11315
+    },
+    {
+      "entropy": 5.208180236816406,
+      "epoch": 9.378624689312344,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.4965631474589205e-05,
+      "loss": 4.3852,
+      "mean_token_accuracy": 0.2385222390294075,
+      "num_tokens": 20625935.0,
+      "step": 11320
+    },
+    {
+      "entropy": 5.1727550506591795,
+      "epoch": 9.382767191383596,
+      "grad_norm": 1.3125,
+      "learning_rate": 5.4899088426785145e-05,
+      "loss": 4.3359,
+      "mean_token_accuracy": 0.24215788245201111,
+      "num_tokens": 20635606.0,
+      "step": 11325
+    },
+    {
+      "entropy": 5.159403991699219,
+      "epoch": 9.386909693454847,
+      "grad_norm": 1.6015625,
+      "learning_rate": 5.4832989346572046e-05,
+      "loss": 4.3162,
+      "mean_token_accuracy": 0.26010559499263763,
+      "num_tokens": 20644254.0,
+      "step": 11330
+    },
+    {
+      "entropy": 5.231632709503174,
+      "epoch": 9.391052195526099,
+      "grad_norm": 1.3984375,
+      "learning_rate": 5.476733436727895e-05,
+      "loss": 4.3983,
+      "mean_token_accuracy": 0.24107942581176758,
+      "num_tokens": 20653157.0,
+      "step": 11335
+    },
+    {
+      "entropy": 5.194467544555664,
+      "epoch": 9.395194697597349,
+      "grad_norm": 1.5078125,
+      "learning_rate": 5.47021236213392e-05,
+      "loss": 4.3836,
+      "mean_token_accuracy": 0.2452881082892418,
+      "num_tokens": 20662169.0,
+      "step": 11340
+    },
+    {
+      "entropy": 5.245670223236084,
+      "epoch": 9.399337199668599,
+      "grad_norm": 1.3828125,
+      "learning_rate": 5.463735724028991e-05,
+      "loss": 4.4267,
+      "mean_token_accuracy": 0.23695690035820008,
+      "num_tokens": 20671915.0,
+      "step": 11345
+    },
+    {
+      "entropy": 5.230974960327148,
+      "epoch": 9.403479701739851,
+      "grad_norm": 1.4375,
+      "learning_rate": 5.457303535477202e-05,
+      "loss": 4.4205,
+      "mean_token_accuracy": 0.24769917875528336,
+      "num_tokens": 20681157.0,
+      "step": 11350
+    },
+    {
+      "entropy": 5.197664594650268,
+      "epoch": 9.407622203811101,
+      "grad_norm": 1.34375,
+      "learning_rate": 5.450915809452976e-05,
+      "loss": 4.3951,
+      "mean_token_accuracy": 0.24207646101713182,
+      "num_tokens": 20690972.0,
+      "step": 11355
+    },
+    {
+      "entropy": 5.2415430545806885,
+      "epoch": 9.411764705882353,
+      "grad_norm": 1.4296875,
+      "learning_rate": 5.444572558841053e-05,
+      "loss": 4.5017,
+      "mean_token_accuracy": 0.23027117550373077,
+      "num_tokens": 20700250.0,
+      "step": 11360
+    },
+    {
+      "entropy": 5.1750246524810795,
+      "epoch": 9.415907207953603,
+      "grad_norm": 1.390625,
+      "learning_rate": 5.4382737964364674e-05,
+      "loss": 4.3287,
+      "mean_token_accuracy": 0.24736017882823944,
+      "num_tokens": 20708965.0,
+      "step": 11365
+    },
+    {
+      "entropy": 5.213246583938599,
+      "epoch": 9.420049710024855,
+      "grad_norm": 1.4140625,
+      "learning_rate": 5.432019534944507e-05,
+      "loss": 4.3582,
+      "mean_token_accuracy": 0.2454348012804985,
+      "num_tokens": 20717750.0,
+      "step": 11370
+    },
+    {
+      "entropy": 5.293984889984131,
+      "epoch": 9.424192212096106,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.4258097869807054e-05,
+      "loss": 4.4922,
+      "mean_token_accuracy": 0.23086071908473968,
+      "num_tokens": 20727904.0,
+      "step": 11375
+    },
+    {
+      "entropy": 5.3053559303283695,
+      "epoch": 9.428334714167358,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.4196445650708e-05,
+      "loss": 4.4877,
+      "mean_token_accuracy": 0.2399384930729866,
+      "num_tokens": 20737550.0,
+      "step": 11380
+    },
+    {
+      "entropy": 5.212822723388672,
+      "epoch": 9.432477216238608,
+      "grad_norm": 1.296875,
+      "learning_rate": 5.4135238816507154e-05,
+      "loss": 4.4095,
+      "mean_token_accuracy": 0.2422664538025856,
+      "num_tokens": 20747126.0,
+      "step": 11385
+    },
+    {
+      "entropy": 5.2534974098205565,
+      "epoch": 9.43661971830986,
+      "grad_norm": 1.484375,
+      "learning_rate": 5.407447749066542e-05,
+      "loss": 4.4318,
+      "mean_token_accuracy": 0.24334049671888353,
+      "num_tokens": 20755366.0,
+      "step": 11390
+    },
+    {
+      "entropy": 5.256351089477539,
+      "epoch": 9.44076222038111,
+      "grad_norm": 1.53125,
+      "learning_rate": 5.401416179574502e-05,
+      "loss": 4.3685,
+      "mean_token_accuracy": 0.24875077307224275,
+      "num_tokens": 20764277.0,
+      "step": 11395
+    },
+    {
+      "entropy": 5.181049728393555,
+      "epoch": 9.44490472245236,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.395429185340929e-05,
+      "loss": 4.3055,
+      "mean_token_accuracy": 0.25715720653533936,
+      "num_tokens": 20772839.0,
+      "step": 11400
+    },
+    {
+      "entropy": 5.2133856296539305,
+      "epoch": 9.449047224523612,
+      "grad_norm": 1.3984375,
+      "learning_rate": 5.389486778442248e-05,
+      "loss": 4.397,
+      "mean_token_accuracy": 0.24174655675888063,
+      "num_tokens": 20782135.0,
+      "step": 11405
+    },
+    {
+      "entropy": 5.255029487609863,
+      "epoch": 9.453189726594863,
+      "grad_norm": 1.40625,
+      "learning_rate": 5.3835889708649374e-05,
+      "loss": 4.4017,
+      "mean_token_accuracy": 0.2441907897591591,
+      "num_tokens": 20790746.0,
+      "step": 11410
+    },
+    {
+      "entropy": 5.227059936523437,
+      "epoch": 9.457332228666115,
+      "grad_norm": 1.53125,
+      "learning_rate": 5.3777357745055276e-05,
+      "loss": 4.4452,
+      "mean_token_accuracy": 0.24071175754070281,
+      "num_tokens": 20800260.0,
+      "step": 11415
+    },
+    {
+      "entropy": 5.238898229598999,
+      "epoch": 9.461474730737365,
+      "grad_norm": 1.40625,
+      "learning_rate": 5.371927201170547e-05,
+      "loss": 4.4318,
+      "mean_token_accuracy": 0.23850919157266617,
+      "num_tokens": 20809168.0,
+      "step": 11420
+    },
+    {
+      "entropy": 5.25923342704773,
+      "epoch": 9.465617232808617,
+      "grad_norm": 1.390625,
+      "learning_rate": 5.3661632625765284e-05,
+      "loss": 4.4814,
+      "mean_token_accuracy": 0.23207752406597137,
+      "num_tokens": 20819697.0,
+      "step": 11425
+    },
+    {
+      "entropy": 5.214989042282104,
+      "epoch": 9.469759734879867,
+      "grad_norm": 1.3828125,
+      "learning_rate": 5.360443970349965e-05,
+      "loss": 4.3423,
+      "mean_token_accuracy": 0.24522960633039476,
+      "num_tokens": 20828836.0,
+      "step": 11430
+    },
+    {
+      "entropy": 5.235601234436035,
+      "epoch": 9.473902236951119,
+      "grad_norm": 1.3046875,
+      "learning_rate": 5.3547693360272904e-05,
+      "loss": 4.4556,
+      "mean_token_accuracy": 0.23457100838422776,
+      "num_tokens": 20838176.0,
+      "step": 11435
+    },
+    {
+      "entropy": 5.19571967124939,
+      "epoch": 9.47804473902237,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.349139371054865e-05,
+      "loss": 4.4529,
+      "mean_token_accuracy": 0.23999389111995698,
+      "num_tokens": 20848110.0,
+      "step": 11440
+    },
+    {
+      "entropy": 5.244784593582153,
+      "epoch": 9.482187241093621,
+      "grad_norm": 1.5078125,
+      "learning_rate": 5.343554086788945e-05,
+      "loss": 4.3882,
+      "mean_token_accuracy": 0.2441453754901886,
+      "num_tokens": 20856680.0,
+      "step": 11445
+    },
+    {
+      "entropy": 5.20223650932312,
+      "epoch": 9.486329743164871,
+      "grad_norm": 1.3984375,
+      "learning_rate": 5.338013494495658e-05,
+      "loss": 4.4097,
+      "mean_token_accuracy": 0.24081601649522782,
+      "num_tokens": 20865099.0,
+      "step": 11450
+    },
+    {
+      "entropy": 5.218722105026245,
+      "epoch": 9.490472245236123,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.3325176053509826e-05,
+      "loss": 4.442,
+      "mean_token_accuracy": 0.24055764228105544,
+      "num_tokens": 20874134.0,
+      "step": 11455
+    },
+    {
+      "entropy": 5.219801807403565,
+      "epoch": 9.494614747307374,
+      "grad_norm": 1.4765625,
+      "learning_rate": 5.3270664304407256e-05,
+      "loss": 4.3779,
+      "mean_token_accuracy": 0.2434104412794113,
+      "num_tokens": 20883136.0,
+      "step": 11460
+    },
+    {
+      "entropy": 5.199105167388916,
+      "epoch": 9.498757249378624,
+      "grad_norm": 1.5546875,
+      "learning_rate": 5.32165998076051e-05,
+      "loss": 4.387,
+      "mean_token_accuracy": 0.2375896692276001,
+      "num_tokens": 20891028.0,
+      "step": 11465
+    },
+    {
+      "entropy": 5.177123546600342,
+      "epoch": 9.502899751449876,
+      "grad_norm": 1.375,
+      "learning_rate": 5.316298267215728e-05,
+      "loss": 4.4052,
+      "mean_token_accuracy": 0.23749941140413283,
+      "num_tokens": 20900471.0,
+      "step": 11470
+    },
+    {
+      "entropy": 5.221874094009399,
+      "epoch": 9.507042253521126,
+      "grad_norm": 1.375,
+      "learning_rate": 5.310981300621547e-05,
+      "loss": 4.3999,
+      "mean_token_accuracy": 0.23606719821691513,
+      "num_tokens": 20909854.0,
+      "step": 11475
+    },
+    {
+      "entropy": 5.225886297225952,
+      "epoch": 9.511184755592378,
+      "grad_norm": 1.4453125,
+      "learning_rate": 5.305709091702865e-05,
+      "loss": 4.4125,
+      "mean_token_accuracy": 0.22680311203002929,
+      "num_tokens": 20918457.0,
+      "step": 11480
+    },
+    {
+      "entropy": 5.226688003540039,
+      "epoch": 9.515327257663628,
+      "grad_norm": 1.4140625,
+      "learning_rate": 5.30048165109431e-05,
+      "loss": 4.3937,
+      "mean_token_accuracy": 0.23724466562271118,
+      "num_tokens": 20928194.0,
+      "step": 11485
+    },
+    {
+      "entropy": 5.200339078903198,
+      "epoch": 9.51946975973488,
+      "grad_norm": 1.3515625,
+      "learning_rate": 5.295298989340196e-05,
+      "loss": 4.3571,
+      "mean_token_accuracy": 0.24498011618852616,
+      "num_tokens": 20938674.0,
+      "step": 11490
+    },
+    {
+      "entropy": 5.2281170845031735,
+      "epoch": 9.52361226180613,
+      "grad_norm": 1.4609375,
+      "learning_rate": 5.290161116894518e-05,
+      "loss": 4.4226,
+      "mean_token_accuracy": 0.23861729800701142,
+      "num_tokens": 20947168.0,
+      "step": 11495
+    },
+    {
+      "entropy": 5.249653100967407,
+      "epoch": 9.527754763877383,
+      "grad_norm": 1.5859375,
+      "learning_rate": 5.285068044120927e-05,
+      "loss": 4.4328,
+      "mean_token_accuracy": 0.2450338751077652,
+      "num_tokens": 20956075.0,
+      "step": 11500
+    },
+    {
+      "epoch": 9.527754763877383,
+      "eval_entropy": 5.114104460043185,
+      "eval_loss": 5.720701217651367,
+      "eval_mean_token_accuracy": 0.16993870158820773,
+      "eval_num_tokens": 20956075.0,
+      "eval_runtime": 2.7587,
+      "eval_samples_per_second": 1358.255,
+      "eval_steps_per_second": 170.008,
+      "step": 11500
+    },
+    {
+      "entropy": 5.266782331466675,
+      "epoch": 9.531897265948633,
+      "grad_norm": 1.2734375,
+      "learning_rate": 5.280019781292707e-05,
+      "loss": 4.405,
+      "mean_token_accuracy": 0.2369287446141243,
+      "num_tokens": 20966187.0,
+      "step": 11505
+    },
+    {
+      "entropy": 5.240145587921143,
+      "epoch": 9.536039768019885,
+      "grad_norm": 1.5390625,
+      "learning_rate": 5.27501633859276e-05,
+      "loss": 4.4002,
+      "mean_token_accuracy": 0.24010625779628753,
+      "num_tokens": 20975865.0,
+      "step": 11510
+    },
+    {
+      "entropy": 5.159635162353515,
+      "epoch": 9.540182270091135,
+      "grad_norm": 1.2734375,
+      "learning_rate": 5.270057726113572e-05,
+      "loss": 4.3354,
+      "mean_token_accuracy": 0.25023750960826874,
+      "num_tokens": 20984907.0,
+      "step": 11515
+    },
+    {
+      "entropy": 5.194441938400269,
+      "epoch": 9.544324772162387,
+      "grad_norm": 1.3828125,
+      "learning_rate": 5.265143953857205e-05,
+      "loss": 4.3943,
+      "mean_token_accuracy": 0.24049336463212967,
+      "num_tokens": 20993915.0,
+      "step": 11520
+    },
+    {
+      "entropy": 5.226407718658447,
+      "epoch": 9.548467274233637,
+      "grad_norm": 1.359375,
+      "learning_rate": 5.2602750317352814e-05,
+      "loss": 4.4014,
+      "mean_token_accuracy": 0.23668222427368163,
+      "num_tokens": 21002971.0,
+      "step": 11525
+    },
+    {
+      "entropy": 5.183192300796509,
+      "epoch": 9.552609776304887,
+      "grad_norm": 1.2734375,
+      "learning_rate": 5.25545096956894e-05,
+      "loss": 4.3938,
+      "mean_token_accuracy": 0.2467254191637039,
+      "num_tokens": 21012543.0,
+      "step": 11530
+    },
+    {
+      "entropy": 5.174312782287598,
+      "epoch": 9.55675227837614,
+      "grad_norm": 1.3828125,
+      "learning_rate": 5.250671777088849e-05,
+      "loss": 4.3729,
+      "mean_token_accuracy": 0.23436859399080276,
+      "num_tokens": 21021618.0,
+      "step": 11535
+    },
+    {
+      "entropy": 5.158681774139405,
+      "epoch": 9.56089478044739,
+      "grad_norm": 1.3203125,
+      "learning_rate": 5.245937463935159e-05,
+      "loss": 4.3608,
+      "mean_token_accuracy": 0.24328911453485488,
+      "num_tokens": 21030872.0,
+      "step": 11540
+    },
+    {
+      "entropy": 5.194266891479492,
+      "epoch": 9.565037282518642,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.241248039657496e-05,
+      "loss": 4.3721,
+      "mean_token_accuracy": 0.24719357639551162,
+      "num_tokens": 21039313.0,
+      "step": 11545
+    },
+    {
+      "entropy": 5.1724096775054935,
+      "epoch": 9.569179784589892,
+      "grad_norm": 1.3984375,
+      "learning_rate": 5.236603513714943e-05,
+      "loss": 4.3169,
+      "mean_token_accuracy": 0.25076732486486436,
+      "num_tokens": 21048766.0,
+      "step": 11550
+    },
+    {
+      "entropy": 5.207181406021118,
+      "epoch": 9.573322286661144,
+      "grad_norm": 1.3359375,
+      "learning_rate": 5.232003895476016e-05,
+      "loss": 4.4169,
+      "mean_token_accuracy": 0.2487204760313034,
+      "num_tokens": 21058335.0,
+      "step": 11555
+    },
+    {
+      "entropy": 5.242167329788208,
+      "epoch": 9.577464788732394,
+      "grad_norm": 1.546875,
+      "learning_rate": 5.227449194218648e-05,
+      "loss": 4.4503,
+      "mean_token_accuracy": 0.23297736644744874,
+      "num_tokens": 21066643.0,
+      "step": 11560
+    },
+    {
+      "entropy": 5.134448671340943,
+      "epoch": 9.581607290803646,
+      "grad_norm": 1.5078125,
+      "learning_rate": 5.222939419130167e-05,
+      "loss": 4.2993,
+      "mean_token_accuracy": 0.2572207450866699,
+      "num_tokens": 21075455.0,
+      "step": 11565
+    },
+    {
+      "entropy": 5.221779918670654,
+      "epoch": 9.585749792874896,
+      "grad_norm": 1.4453125,
+      "learning_rate": 5.218474579307282e-05,
+      "loss": 4.3988,
+      "mean_token_accuracy": 0.24160387367010117,
+      "num_tokens": 21085517.0,
+      "step": 11570
+    },
+    {
+      "entropy": 5.239555358886719,
+      "epoch": 9.589892294946148,
+      "grad_norm": 1.484375,
+      "learning_rate": 5.214054683756069e-05,
+      "loss": 4.417,
+      "mean_token_accuracy": 0.23950826078653337,
+      "num_tokens": 21094469.0,
+      "step": 11575
+    },
+    {
+      "entropy": 5.2238609790802,
+      "epoch": 9.594034797017398,
+      "grad_norm": 1.3828125,
+      "learning_rate": 5.2096797413919344e-05,
+      "loss": 4.4145,
+      "mean_token_accuracy": 0.2446170777082443,
+      "num_tokens": 21104257.0,
+      "step": 11580
+    },
+    {
+      "entropy": 5.150522232055664,
+      "epoch": 9.59817729908865,
+      "grad_norm": 1.453125,
+      "learning_rate": 5.205349761039613e-05,
+      "loss": 4.2881,
+      "mean_token_accuracy": 0.25747537314891816,
+      "num_tokens": 21112887.0,
+      "step": 11585
+    },
+    {
+      "entropy": 5.178083276748657,
+      "epoch": 9.6023198011599,
+      "grad_norm": 1.40625,
+      "learning_rate": 5.201064751433156e-05,
+      "loss": 4.3521,
+      "mean_token_accuracy": 0.2525580883026123,
+      "num_tokens": 21121686.0,
+      "step": 11590
+    },
+    {
+      "entropy": 5.220233535766601,
+      "epoch": 9.606462303231151,
+      "grad_norm": 1.359375,
+      "learning_rate": 5.19682472121589e-05,
+      "loss": 4.4425,
+      "mean_token_accuracy": 0.2389208734035492,
+      "num_tokens": 21131291.0,
+      "step": 11595
+    },
+    {
+      "entropy": 5.203291702270508,
+      "epoch": 9.610604805302403,
+      "grad_norm": 1.359375,
+      "learning_rate": 5.192629678940421e-05,
+      "loss": 4.3778,
+      "mean_token_accuracy": 0.2403276816010475,
+      "num_tokens": 21140203.0,
+      "step": 11600
+    },
+    {
+      "entropy": 5.203838634490967,
+      "epoch": 9.614747307373653,
+      "grad_norm": 1.3515625,
+      "learning_rate": 5.188479633068607e-05,
+      "loss": 4.4183,
+      "mean_token_accuracy": 0.24295357316732408,
+      "num_tokens": 21148897.0,
+      "step": 11605
+    },
+    {
+      "entropy": 5.256254196166992,
+      "epoch": 9.618889809444905,
+      "grad_norm": 1.5,
+      "learning_rate": 5.1843745919715485e-05,
+      "loss": 4.4341,
+      "mean_token_accuracy": 0.23405769020318984,
+      "num_tokens": 21157756.0,
+      "step": 11610
+    },
+    {
+      "entropy": 5.206856822967529,
+      "epoch": 9.623032311516155,
+      "grad_norm": 1.3125,
+      "learning_rate": 5.180314563929555e-05,
+      "loss": 4.39,
+      "mean_token_accuracy": 0.24298899322748185,
+      "num_tokens": 21167344.0,
+      "step": 11615
+    },
+    {
+      "entropy": 5.221960401535034,
+      "epoch": 9.627174813587407,
+      "grad_norm": 1.4765625,
+      "learning_rate": 5.176299557132151e-05,
+      "loss": 4.4401,
+      "mean_token_accuracy": 0.23725925832986833,
+      "num_tokens": 21176835.0,
+      "step": 11620
+    },
+    {
+      "entropy": 5.153981781005859,
+      "epoch": 9.631317315658658,
+      "grad_norm": 1.2734375,
+      "learning_rate": 5.172329579678042e-05,
+      "loss": 4.2982,
+      "mean_token_accuracy": 0.25208594352006913,
+      "num_tokens": 21186161.0,
+      "step": 11625
+    },
+    {
+      "entropy": 5.272670841217041,
+      "epoch": 9.63545981772991,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.168404639575108e-05,
+      "loss": 4.4212,
+      "mean_token_accuracy": 0.24379022270441056,
+      "num_tokens": 21195428.0,
+      "step": 11630
+    },
+    {
+      "entropy": 5.259535551071167,
+      "epoch": 9.63960231980116,
+      "grad_norm": 1.4609375,
+      "learning_rate": 5.1645247447403826e-05,
+      "loss": 4.4326,
+      "mean_token_accuracy": 0.23898615092039108,
+      "num_tokens": 21203541.0,
+      "step": 11635
+    },
+    {
+      "entropy": 5.228976011276245,
+      "epoch": 9.64374482187241,
+      "grad_norm": 1.3125,
+      "learning_rate": 5.1606899030000355e-05,
+      "loss": 4.4151,
+      "mean_token_accuracy": 0.24136419892311095,
+      "num_tokens": 21213092.0,
+      "step": 11640
+    },
+    {
+      "entropy": 5.175369930267334,
+      "epoch": 9.647887323943662,
+      "grad_norm": 1.375,
+      "learning_rate": 5.156900122089365e-05,
+      "loss": 4.3962,
+      "mean_token_accuracy": 0.24192215353250504,
+      "num_tokens": 21222427.0,
+      "step": 11645
+    },
+    {
+      "entropy": 5.230413007736206,
+      "epoch": 9.652029826014912,
+      "grad_norm": 1.484375,
+      "learning_rate": 5.153155409652768e-05,
+      "loss": 4.432,
+      "mean_token_accuracy": 0.2374855935573578,
+      "num_tokens": 21231253.0,
+      "step": 11650
+    },
+    {
+      "entropy": 5.203400421142578,
+      "epoch": 9.656172328086164,
+      "grad_norm": 1.4765625,
+      "learning_rate": 5.1494557732437435e-05,
+      "loss": 4.4733,
+      "mean_token_accuracy": 0.2342583119869232,
+      "num_tokens": 21240522.0,
+      "step": 11655
+    },
+    {
+      "entropy": 5.20927472114563,
+      "epoch": 9.660314830157414,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.14580122032486e-05,
+      "loss": 4.358,
+      "mean_token_accuracy": 0.24714421182870866,
+      "num_tokens": 21250354.0,
+      "step": 11660
+    },
+    {
+      "entropy": 5.269120168685913,
+      "epoch": 9.664457332228666,
+      "grad_norm": 1.4609375,
+      "learning_rate": 5.142191758267751e-05,
+      "loss": 4.3959,
+      "mean_token_accuracy": 0.24433231055736543,
+      "num_tokens": 21259098.0,
+      "step": 11665
+    },
+    {
+      "entropy": 5.218132352828979,
+      "epoch": 9.668599834299917,
+      "grad_norm": 1.53125,
+      "learning_rate": 5.138627394353095e-05,
+      "loss": 4.4588,
+      "mean_token_accuracy": 0.24320885837078093,
+      "num_tokens": 21267592.0,
+      "step": 11670
+    },
+    {
+      "entropy": 5.20297908782959,
+      "epoch": 9.672742336371169,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.135108135770603e-05,
+      "loss": 4.428,
+      "mean_token_accuracy": 0.23910461068153382,
+      "num_tokens": 21276991.0,
+      "step": 11675
+    },
+    {
+      "entropy": 5.184666967391967,
+      "epoch": 9.676884838442419,
+      "grad_norm": 1.3828125,
+      "learning_rate": 5.131633989619008e-05,
+      "loss": 4.383,
+      "mean_token_accuracy": 0.2423979014158249,
+      "num_tokens": 21286403.0,
+      "step": 11680
+    },
+    {
+      "entropy": 5.214335870742798,
+      "epoch": 9.68102734051367,
+      "grad_norm": 1.375,
+      "learning_rate": 5.12820496290604e-05,
+      "loss": 4.4161,
+      "mean_token_accuracy": 0.23396081626415252,
+      "num_tokens": 21296433.0,
+      "step": 11685
+    },
+    {
+      "entropy": 5.198829889297485,
+      "epoch": 9.685169842584921,
+      "grad_norm": 1.4375,
+      "learning_rate": 5.124821062548417e-05,
+      "loss": 4.4632,
+      "mean_token_accuracy": 0.23911410570144653,
+      "num_tokens": 21306074.0,
+      "step": 11690
+    },
+    {
+      "entropy": 5.2386613368988035,
+      "epoch": 9.689312344656173,
+      "grad_norm": 1.4140625,
+      "learning_rate": 5.121482295371841e-05,
+      "loss": 4.4584,
+      "mean_token_accuracy": 0.23842231035232545,
+      "num_tokens": 21316235.0,
+      "step": 11695
+    },
+    {
+      "entropy": 5.224297714233399,
+      "epoch": 9.693454846727423,
+      "grad_norm": 1.359375,
+      "learning_rate": 5.1181886681109676e-05,
+      "loss": 4.4582,
+      "mean_token_accuracy": 0.2248012065887451,
+      "num_tokens": 21326738.0,
+      "step": 11700
+    },
+    {
+      "entropy": 5.224979639053345,
+      "epoch": 9.697597348798674,
+      "grad_norm": 1.453125,
+      "learning_rate": 5.1149401874094035e-05,
+      "loss": 4.3999,
+      "mean_token_accuracy": 0.2408125326037407,
+      "num_tokens": 21337557.0,
+      "step": 11705
+    },
+    {
+      "entropy": 5.215403079986572,
+      "epoch": 9.701739850869926,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.111736859819692e-05,
+      "loss": 4.3796,
+      "mean_token_accuracy": 0.24003734290599824,
+      "num_tokens": 21347179.0,
+      "step": 11710
+    },
+    {
+      "entropy": 5.1441820621490475,
+      "epoch": 9.705882352941176,
+      "grad_norm": 1.5078125,
+      "learning_rate": 5.10857869180329e-05,
+      "loss": 4.3443,
+      "mean_token_accuracy": 0.24887652546167374,
+      "num_tokens": 21356544.0,
+      "step": 11715
+    },
+    {
+      "entropy": 5.219793510437012,
+      "epoch": 9.710024855012428,
+      "grad_norm": 1.25,
+      "learning_rate": 5.105465689730571e-05,
+      "loss": 4.3964,
+      "mean_token_accuracy": 0.2463588759303093,
+      "num_tokens": 21365985.0,
+      "step": 11720
+    },
+    {
+      "entropy": 5.177229642868042,
+      "epoch": 9.714167357083678,
+      "grad_norm": 1.4296875,
+      "learning_rate": 5.1023978598808e-05,
+      "loss": 4.3707,
+      "mean_token_accuracy": 0.2494347721338272,
+      "num_tokens": 21375758.0,
+      "step": 11725
+    },
+    {
+      "entropy": 5.170178365707398,
+      "epoch": 9.71830985915493,
+      "grad_norm": 1.453125,
+      "learning_rate": 5.09937520844212e-05,
+      "loss": 4.3368,
+      "mean_token_accuracy": 0.24704499989748002,
+      "num_tokens": 21383714.0,
+      "step": 11730
+    },
+    {
+      "entropy": 5.205775117874145,
+      "epoch": 9.72245236122618,
+      "grad_norm": 1.4453125,
+      "learning_rate": 5.0963977415115586e-05,
+      "loss": 4.4299,
+      "mean_token_accuracy": 0.2330300197005272,
+      "num_tokens": 21393261.0,
+      "step": 11735
+    },
+    {
+      "entropy": 5.1720069408416744,
+      "epoch": 9.726594863297432,
+      "grad_norm": 1.4140625,
+      "learning_rate": 5.0934654650949854e-05,
+      "loss": 4.3797,
+      "mean_token_accuracy": 0.24704006910324097,
+      "num_tokens": 21402071.0,
+      "step": 11740
+    },
+    {
+      "entropy": 5.274179315567016,
+      "epoch": 9.730737365368682,
+      "grad_norm": 1.46875,
+      "learning_rate": 5.090578385107121e-05,
+      "loss": 4.4444,
+      "mean_token_accuracy": 0.23716523200273515,
+      "num_tokens": 21411165.0,
+      "step": 11745
+    },
+    {
+      "entropy": 5.169753646850586,
+      "epoch": 9.734879867439934,
+      "grad_norm": 1.4140625,
+      "learning_rate": 5.0877365073715285e-05,
+      "loss": 4.3939,
+      "mean_token_accuracy": 0.2404576525092125,
+      "num_tokens": 21420641.0,
+      "step": 11750
+    },
+    {
+      "entropy": 5.257231140136719,
+      "epoch": 9.739022369511185,
+      "grad_norm": 1.5234375,
+      "learning_rate": 5.0849398376205797e-05,
+      "loss": 4.3852,
+      "mean_token_accuracy": 0.2417683020234108,
+      "num_tokens": 21429293.0,
+      "step": 11755
+    },
+    {
+      "entropy": 5.206450462341309,
+      "epoch": 9.743164871582437,
+      "grad_norm": 1.34375,
+      "learning_rate": 5.082188381495463e-05,
+      "loss": 4.3834,
+      "mean_token_accuracy": 0.241250616312027,
+      "num_tokens": 21438978.0,
+      "step": 11760
+    },
+    {
+      "entropy": 5.190227413177491,
+      "epoch": 9.747307373653687,
+      "grad_norm": 1.5625,
+      "learning_rate": 5.0794821445461716e-05,
+      "loss": 4.3886,
+      "mean_token_accuracy": 0.2390499457716942,
+      "num_tokens": 21447321.0,
+      "step": 11765
+    },
+    {
+      "entropy": 5.184480953216553,
+      "epoch": 9.751449875724937,
+      "grad_norm": 1.3359375,
+      "learning_rate": 5.076821132231474e-05,
+      "loss": 4.3982,
+      "mean_token_accuracy": 0.23653560876846313,
+      "num_tokens": 21456221.0,
+      "step": 11770
+    },
+    {
+      "entropy": 5.2345081806182865,
+      "epoch": 9.755592377796189,
+      "grad_norm": 1.4765625,
+      "learning_rate": 5.074205349918927e-05,
+      "loss": 4.4494,
+      "mean_token_accuracy": 0.23736606389284134,
+      "num_tokens": 21466123.0,
+      "step": 11775
+    },
+    {
+      "entropy": 5.239090061187744,
+      "epoch": 9.75973487986744,
+      "grad_norm": 1.40625,
+      "learning_rate": 5.071634802884852e-05,
+      "loss": 4.4102,
+      "mean_token_accuracy": 0.23271892517805098,
+      "num_tokens": 21476033.0,
+      "step": 11780
+    },
+    {
+      "entropy": 5.192892122268677,
+      "epoch": 9.763877381938691,
+      "grad_norm": 1.34375,
+      "learning_rate": 5.0691094963143157e-05,
+      "loss": 4.3663,
+      "mean_token_accuracy": 0.23865313827991486,
+      "num_tokens": 21484393.0,
+      "step": 11785
+    },
+    {
+      "entropy": 5.2548933029174805,
+      "epoch": 9.768019884009941,
+      "grad_norm": 1.375,
+      "learning_rate": 5.066629435301143e-05,
+      "loss": 4.4508,
+      "mean_token_accuracy": 0.24377089589834214,
+      "num_tokens": 21493045.0,
+      "step": 11790
+    },
+    {
+      "entropy": 5.194973945617676,
+      "epoch": 9.772162386081193,
+      "grad_norm": 1.6484375,
+      "learning_rate": 5.0641946248478876e-05,
+      "loss": 4.3953,
+      "mean_token_accuracy": 0.23680465668439865,
+      "num_tokens": 21500913.0,
+      "step": 11795
+    },
+    {
+      "entropy": 5.159683704376221,
+      "epoch": 9.776304888152444,
+      "grad_norm": 1.5078125,
+      "learning_rate": 5.061805069865827e-05,
+      "loss": 4.2861,
+      "mean_token_accuracy": 0.24696215838193894,
+      "num_tokens": 21509444.0,
+      "step": 11800
+    },
+    {
+      "entropy": 5.213501501083374,
+      "epoch": 9.780447390223696,
+      "grad_norm": 1.4296875,
+      "learning_rate": 5.059460775174955e-05,
+      "loss": 4.3757,
+      "mean_token_accuracy": 0.24704617857933045,
+      "num_tokens": 21518805.0,
+      "step": 11805
+    },
+    {
+      "entropy": 5.209772396087646,
+      "epoch": 9.784589892294946,
+      "grad_norm": 1.484375,
+      "learning_rate": 5.057161745503972e-05,
+      "loss": 4.4103,
+      "mean_token_accuracy": 0.24355926364660263,
+      "num_tokens": 21527354.0,
+      "step": 11810
+    },
+    {
+      "entropy": 5.29533166885376,
+      "epoch": 9.788732394366198,
+      "grad_norm": 1.5546875,
+      "learning_rate": 5.0549079854902665e-05,
+      "loss": 4.4304,
+      "mean_token_accuracy": 0.24322245568037032,
+      "num_tokens": 21537045.0,
+      "step": 11815
+    },
+    {
+      "entropy": 5.238578796386719,
+      "epoch": 9.792874896437448,
+      "grad_norm": 1.3359375,
+      "learning_rate": 5.052699499679925e-05,
+      "loss": 4.4552,
+      "mean_token_accuracy": 0.23769946098327638,
+      "num_tokens": 21545975.0,
+      "step": 11820
+    },
+    {
+      "entropy": 5.242729949951172,
+      "epoch": 9.7970173985087,
+      "grad_norm": 1.4375,
+      "learning_rate": 5.050536292527702e-05,
+      "loss": 4.4544,
+      "mean_token_accuracy": 0.22304680198431015,
+      "num_tokens": 21555309.0,
+      "step": 11825
+    },
+    {
+      "entropy": 5.218223905563354,
+      "epoch": 9.80115990057995,
+      "grad_norm": 1.484375,
+      "learning_rate": 5.0484183683970235e-05,
+      "loss": 4.4304,
+      "mean_token_accuracy": 0.2365727812051773,
+      "num_tokens": 21565044.0,
+      "step": 11830
+    },
+    {
+      "entropy": 5.262326192855835,
+      "epoch": 9.8053024026512,
+      "grad_norm": 1.578125,
+      "learning_rate": 5.046345731559973e-05,
+      "loss": 4.4653,
+      "mean_token_accuracy": 0.24070365726947784,
+      "num_tokens": 21574158.0,
+      "step": 11835
+    },
+    {
+      "entropy": 5.264584159851074,
+      "epoch": 9.809444904722453,
+      "grad_norm": 1.3203125,
+      "learning_rate": 5.044318386197286e-05,
+      "loss": 4.4899,
+      "mean_token_accuracy": 0.2350068747997284,
+      "num_tokens": 21584371.0,
+      "step": 11840
+    },
+    {
+      "entropy": 5.155444622039795,
+      "epoch": 9.813587406793703,
+      "grad_norm": 1.5234375,
+      "learning_rate": 5.042336336398341e-05,
+      "loss": 4.3371,
+      "mean_token_accuracy": 0.2430424138903618,
+      "num_tokens": 21592693.0,
+      "step": 11845
+    },
+    {
+      "entropy": 5.248815107345581,
+      "epoch": 9.817729908864955,
+      "grad_norm": 1.453125,
+      "learning_rate": 5.040399586161144e-05,
+      "loss": 4.4972,
+      "mean_token_accuracy": 0.23252930194139482,
+      "num_tokens": 21601952.0,
+      "step": 11850
+    },
+    {
+      "entropy": 5.233797216415406,
+      "epoch": 9.821872410936205,
+      "grad_norm": 1.4375,
+      "learning_rate": 5.038508139392338e-05,
+      "loss": 4.4509,
+      "mean_token_accuracy": 0.23184707909822463,
+      "num_tokens": 21611493.0,
+      "step": 11855
+    },
+    {
+      "entropy": 5.246695804595947,
+      "epoch": 9.826014913007457,
+      "grad_norm": 1.5390625,
+      "learning_rate": 5.0366619999071734e-05,
+      "loss": 4.437,
+      "mean_token_accuracy": 0.24143802225589753,
+      "num_tokens": 21619698.0,
+      "step": 11860
+    },
+    {
+      "entropy": 5.233714532852173,
+      "epoch": 9.830157415078707,
+      "grad_norm": 1.484375,
+      "learning_rate": 5.0348611714295205e-05,
+      "loss": 4.4123,
+      "mean_token_accuracy": 0.23716820180416107,
+      "num_tokens": 21628789.0,
+      "step": 11865
+    },
+    {
+      "entropy": 5.210479068756103,
+      "epoch": 9.83429991714996,
+      "grad_norm": 1.515625,
+      "learning_rate": 5.03310565759184e-05,
+      "loss": 4.3928,
+      "mean_token_accuracy": 0.2520794317126274,
+      "num_tokens": 21637928.0,
+      "step": 11870
+    },
+    {
+      "entropy": 5.223333120346069,
+      "epoch": 9.83844241922121,
+      "grad_norm": 1.4609375,
+      "learning_rate": 5.0313954619351996e-05,
+      "loss": 4.437,
+      "mean_token_accuracy": 0.23223921656608582,
+      "num_tokens": 21646500.0,
+      "step": 11875
+    },
+    {
+      "entropy": 5.267339181900025,
+      "epoch": 9.842584921292461,
+      "grad_norm": 1.4921875,
+      "learning_rate": 5.029730587909253e-05,
+      "loss": 4.4637,
+      "mean_token_accuracy": 0.2412830263376236,
+      "num_tokens": 21655356.0,
+      "step": 11880
+    },
+    {
+      "entropy": 5.231441974639893,
+      "epoch": 9.846727423363712,
+      "grad_norm": 1.4609375,
+      "learning_rate": 5.028111038872228e-05,
+      "loss": 4.426,
+      "mean_token_accuracy": 0.23428288698196412,
+      "num_tokens": 21664860.0,
+      "step": 11885
+    },
+    {
+      "entropy": 5.2260448932647705,
+      "epoch": 9.850869925434964,
+      "grad_norm": 1.515625,
+      "learning_rate": 5.026536818090935e-05,
+      "loss": 4.3858,
+      "mean_token_accuracy": 0.23733778446912765,
+      "num_tokens": 21673638.0,
+      "step": 11890
+    },
+    {
+      "entropy": 5.230390501022339,
+      "epoch": 9.855012427506214,
+      "grad_norm": 1.40625,
+      "learning_rate": 5.0250079287407486e-05,
+      "loss": 4.4118,
+      "mean_token_accuracy": 0.24365832805633544,
+      "num_tokens": 21682708.0,
+      "step": 11895
+    },
+    {
+      "entropy": 5.231134366989136,
+      "epoch": 9.859154929577464,
+      "grad_norm": 1.34375,
+      "learning_rate": 5.023524373905606e-05,
+      "loss": 4.3945,
+      "mean_token_accuracy": 0.24043529331684113,
+      "num_tokens": 21692162.0,
+      "step": 11900
+    },
+    {
+      "entropy": 5.183132171630859,
+      "epoch": 9.863297431648716,
+      "grad_norm": 1.4296875,
+      "learning_rate": 5.0220861565779966e-05,
+      "loss": 4.3616,
+      "mean_token_accuracy": 0.24586226642131806,
+      "num_tokens": 21700956.0,
+      "step": 11905
+    },
+    {
+      "entropy": 5.272827625274658,
+      "epoch": 9.867439933719966,
+      "grad_norm": 1.5234375,
+      "learning_rate": 5.020693279658967e-05,
+      "loss": 4.4582,
+      "mean_token_accuracy": 0.23015946447849273,
+      "num_tokens": 21709603.0,
+      "step": 11910
+    },
+    {
+      "entropy": 5.174969005584717,
+      "epoch": 9.871582435791218,
+      "grad_norm": 1.4453125,
+      "learning_rate": 5.0193457459580984e-05,
+      "loss": 4.3608,
+      "mean_token_accuracy": 0.24680277556180955,
+      "num_tokens": 21718858.0,
+      "step": 11915
+    },
+    {
+      "entropy": 5.176064395904541,
+      "epoch": 9.875724937862469,
+      "grad_norm": 1.3984375,
+      "learning_rate": 5.0180435581935156e-05,
+      "loss": 4.3502,
+      "mean_token_accuracy": 0.2466002583503723,
+      "num_tokens": 21727863.0,
+      "step": 11920
+    },
+    {
+      "entropy": 5.2844055652618405,
+      "epoch": 9.87986743993372,
+      "grad_norm": 1.5703125,
+      "learning_rate": 5.0167867189918727e-05,
+      "loss": 4.4172,
+      "mean_token_accuracy": 0.2388628527522087,
+      "num_tokens": 21736408.0,
+      "step": 11925
+    },
+    {
+      "entropy": 5.250092363357544,
+      "epoch": 9.88400994200497,
+      "grad_norm": 1.2890625,
+      "learning_rate": 5.015575230888351e-05,
+      "loss": 4.4257,
+      "mean_token_accuracy": 0.23509902358055115,
+      "num_tokens": 21745643.0,
+      "step": 11930
+    },
+    {
+      "entropy": 5.279187154769898,
+      "epoch": 9.888152444076223,
+      "grad_norm": 1.5546875,
+      "learning_rate": 5.014409096326654e-05,
+      "loss": 4.538,
+      "mean_token_accuracy": 0.22393469959497453,
+      "num_tokens": 21754768.0,
+      "step": 11935
+    },
+    {
+      "entropy": 5.174599123001099,
+      "epoch": 9.892294946147473,
+      "grad_norm": 1.4375,
+      "learning_rate": 5.0132883176590055e-05,
+      "loss": 4.3578,
+      "mean_token_accuracy": 0.24370780289173127,
+      "num_tokens": 21764105.0,
+      "step": 11940
+    },
+    {
+      "entropy": 5.148456239700318,
+      "epoch": 9.896437448218723,
+      "grad_norm": 1.4296875,
+      "learning_rate": 5.0122128971461365e-05,
+      "loss": 4.3502,
+      "mean_token_accuracy": 0.23987547755241395,
+      "num_tokens": 21773913.0,
+      "step": 11945
+    },
+    {
+      "entropy": 5.194407796859741,
+      "epoch": 9.900579950289975,
+      "grad_norm": 1.375,
+      "learning_rate": 5.011182836957287e-05,
+      "loss": 4.3874,
+      "mean_token_accuracy": 0.24507807344198226,
+      "num_tokens": 21783460.0,
+      "step": 11950
+    },
+    {
+      "entropy": 5.206596374511719,
+      "epoch": 9.904722452361225,
+      "grad_norm": 1.3515625,
+      "learning_rate": 5.010198139170204e-05,
+      "loss": 4.441,
+      "mean_token_accuracy": 0.23472851514816284,
+      "num_tokens": 21792642.0,
+      "step": 11955
+    },
+    {
+      "entropy": 5.223062992095947,
+      "epoch": 9.908864954432477,
+      "grad_norm": 1.4609375,
+      "learning_rate": 5.009258805771126e-05,
+      "loss": 4.396,
+      "mean_token_accuracy": 0.24268632829189302,
+      "num_tokens": 21801580.0,
+      "step": 11960
+    },
+    {
+      "entropy": 5.304762458801269,
+      "epoch": 9.913007456503728,
+      "grad_norm": 1.4140625,
+      "learning_rate": 5.008364838654795e-05,
+      "loss": 4.4683,
+      "mean_token_accuracy": 0.236898572742939,
+      "num_tokens": 21810608.0,
+      "step": 11965
+    },
+    {
+      "entropy": 5.2741130828857425,
+      "epoch": 9.91714995857498,
+      "grad_norm": 1.484375,
+      "learning_rate": 5.007516239624437e-05,
+      "loss": 4.4363,
+      "mean_token_accuracy": 0.23754393458366393,
+      "num_tokens": 21819757.0,
+      "step": 11970
+    },
+    {
+      "entropy": 5.204492616653442,
+      "epoch": 9.92129246064623,
+      "grad_norm": 1.5078125,
+      "learning_rate": 5.006713010391773e-05,
+      "loss": 4.404,
+      "mean_token_accuracy": 0.23527704030275345,
+      "num_tokens": 21828148.0,
+      "step": 11975
+    },
+    {
+      "entropy": 5.206682586669922,
+      "epoch": 9.925434962717482,
+      "grad_norm": 1.421875,
+      "learning_rate": 5.005955152577002e-05,
+      "loss": 4.4288,
+      "mean_token_accuracy": 0.2412915349006653,
+      "num_tokens": 21837341.0,
+      "step": 11980
+    },
+    {
+      "entropy": 5.203504610061645,
+      "epoch": 9.929577464788732,
+      "grad_norm": 1.390625,
+      "learning_rate": 5.005242667708806e-05,
+      "loss": 4.3316,
+      "mean_token_accuracy": 0.24611939191818238,
+      "num_tokens": 21846963.0,
+      "step": 11985
+    },
+    {
+      "entropy": 5.23674955368042,
+      "epoch": 9.933719966859984,
+      "grad_norm": 1.5859375,
+      "learning_rate": 5.0045755572243416e-05,
+      "loss": 4.3825,
+      "mean_token_accuracy": 0.2489885687828064,
+      "num_tokens": 21855673.0,
+      "step": 11990
+    },
+    {
+      "entropy": 5.219985914230347,
+      "epoch": 9.937862468931234,
+      "grad_norm": 1.390625,
+      "learning_rate": 5.0039538224692496e-05,
+      "loss": 4.3557,
+      "mean_token_accuracy": 0.24170747101306916,
+      "num_tokens": 21864934.0,
+      "step": 11995
+    },
+    {
+      "entropy": 5.211825132369995,
+      "epoch": 9.942004971002486,
+      "grad_norm": 1.53125,
+      "learning_rate": 5.003377464697636e-05,
+      "loss": 4.4098,
+      "mean_token_accuracy": 0.24089138954877853,
+      "num_tokens": 21873289.0,
+      "step": 12000
+    },
+    {
+      "epoch": 9.942004971002486,
+      "eval_entropy": 5.125339269129706,
+      "eval_loss": 5.719822883605957,
+      "eval_mean_token_accuracy": 0.17006309012741422,
+      "eval_num_tokens": 21873289.0,
+      "eval_runtime": 2.7472,
+      "eval_samples_per_second": 1363.919,
+      "eval_steps_per_second": 170.717,
+      "step": 12000
+    },
+    {
+      "entropy": 5.2028035640716555,
+      "epoch": 9.946147473073736,
+      "grad_norm": 1.4453125,
+      "learning_rate": 5.0028464850720724e-05,
+      "loss": 4.3889,
+      "mean_token_accuracy": 0.23904524147510528,
+      "num_tokens": 21882462.0,
+      "step": 12005
+    },
+    {
+      "entropy": 5.245696783065796,
+      "epoch": 9.950289975144987,
+      "grad_norm": 1.515625,
+      "learning_rate": 5.002360884663606e-05,
+      "loss": 4.5035,
+      "mean_token_accuracy": 0.23590862900018691,
+      "num_tokens": 21891332.0,
+      "step": 12010
+    },
+    {
+      "entropy": 5.1096619129180905,
+      "epoch": 9.954432477216239,
+      "grad_norm": 1.484375,
+      "learning_rate": 5.001920664451748e-05,
+      "loss": 4.3148,
+      "mean_token_accuracy": 0.25081518292427063,
+      "num_tokens": 21900743.0,
+      "step": 12015
+    },
+    {
+      "entropy": 5.276028203964233,
+      "epoch": 9.958574979287489,
+      "grad_norm": 1.5,
+      "learning_rate": 5.001525825324467e-05,
+      "loss": 4.4929,
+      "mean_token_accuracy": 0.22594590485095978,
+      "num_tokens": 21910279.0,
+      "step": 12020
+    },
+    {
+      "entropy": 5.190965270996093,
+      "epoch": 9.962717481358741,
+      "grad_norm": 1.453125,
+      "learning_rate": 5.001176368078199e-05,
+      "loss": 4.3622,
+      "mean_token_accuracy": 0.24834348261356354,
+      "num_tokens": 21919152.0,
+      "step": 12025
+    },
+    {
+      "entropy": 5.198761796951294,
+      "epoch": 9.966859983429991,
+      "grad_norm": 1.484375,
+      "learning_rate": 5.0008722934178354e-05,
+      "loss": 4.3903,
+      "mean_token_accuracy": 0.24158631265163422,
+      "num_tokens": 21927581.0,
+      "step": 12030
+    },
+    {
+      "entropy": 5.163881731033325,
+      "epoch": 9.971002485501243,
+      "grad_norm": 1.515625,
+      "learning_rate": 5.00061360195673e-05,
+      "loss": 4.3387,
+      "mean_token_accuracy": 0.24255437701940535,
+      "num_tokens": 21936753.0,
+      "step": 12035
+    },
+    {
+      "entropy": 5.172996377944946,
+      "epoch": 9.975144987572493,
+      "grad_norm": 1.375,
+      "learning_rate": 5.0004002942166914e-05,
+      "loss": 4.3729,
+      "mean_token_accuracy": 0.24034346342086793,
+      "num_tokens": 21945230.0,
+      "step": 12040
+    },
+    {
+      "entropy": 5.261582946777343,
+      "epoch": 9.979287489643745,
+      "grad_norm": 1.3203125,
+      "learning_rate": 5.000232370627982e-05,
+      "loss": 4.478,
+      "mean_token_accuracy": 0.23531069457530976,
+      "num_tokens": 21954258.0,
+      "step": 12045
+    },
+    {
+      "entropy": 5.27250657081604,
+      "epoch": 9.983429991714996,
+      "grad_norm": 1.40625,
+      "learning_rate": 5.000109831529327e-05,
+      "loss": 4.4007,
+      "mean_token_accuracy": 0.2401852175593376,
+      "num_tokens": 21963470.0,
+      "step": 12050
+    },
+    {
+      "entropy": 5.241538858413696,
+      "epoch": 9.987572493786248,
+      "grad_norm": 1.484375,
+      "learning_rate": 5.000032677167897e-05,
+      "loss": 4.3979,
+      "mean_token_accuracy": 0.23692352026700975,
+      "num_tokens": 21972175.0,
+      "step": 12055
+    },
+    {
+      "entropy": 5.269623565673828,
+      "epoch": 9.991714995857498,
+      "grad_norm": 1.4921875,
+      "learning_rate": 5.000000907699321e-05,
+      "loss": 4.4858,
+      "mean_token_accuracy": 0.22801716178655623,
+      "num_tokens": 21981789.0,
+      "step": 12060
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 12060,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 3.2819268760704e+16,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}
diff --git a/checkpoint-12060/training_args.bin b/checkpoint-12060/training_args.bin
new file mode 100644
index 0000000..47a7b32
--- /dev/null
+++ b/checkpoint-12060/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e406e906697be5d5c4bea7f90a038122ca162eb6b7e40512a32661ef55af9075
+size 6353
diff --git a/checkpoint-1500/added_tokens.json b/checkpoint-1500/added_tokens.json
new file mode 100644
index 0000000..b3dbcdb
--- /dev/null
+++ b/checkpoint-1500/added_tokens.json
@@ -0,0 +1,1202 @@
+{
+  "<pad>": 50002,
+  "[CLS]": 50000,
+  "[MASK]": 50003,
+  "[SEP]": 50001,
+  "[XXXXX0]": 50771,
+  "[XXXXX1000]": 50549,
+  "[XXXXX1001]": 50657,
+  "[XXXXX1002]": 51158,
+  "[XXXXX1003]": 51044,
+  "[XXXXX1004]": 50688,
+  "[XXXXX1005]": 50689,
+  "[XXXXX1006]": 50410,
+  "[XXXXX1007]": 50724,
+  "[XXXXX1008]": 50171,
+  "[XXXXX1009]": 51077,
+  "[XXXXX100]": 50091,
+  "[XXXXX1010]": 50639,
+  "[XXXXX1011]": 51094,
+  "[XXXXX1012]": 50392,
+  "[XXXXX1013]": 50626,
+  "[XXXXX1014]": 50991,
+  "[XXXXX1015]": 50529,
+  "[XXXXX1016]": 51193,
+  "[XXXXX1017]": 51073,
+  "[XXXXX1018]": 51104,
+  "[XXXXX1019]": 50775,
+  "[XXXXX101]": 50139,
+  "[XXXXX1020]": 50157,
+  "[XXXXX1021]": 50934,
+  "[XXXXX1022]": 51159,
+  "[XXXXX1023]": 50048,
+  "[XXXXX1024]": 51123,
+  "[XXXXX1025]": 50084,
+  "[XXXXX1026]": 50813,
+  "[XXXXX1027]": 50725,
+  "[XXXXX1028]": 50931,
+  "[XXXXX1029]": 50233,
+  "[XXXXX102]": 50213,
+  "[XXXXX1030]": 51023,
+  "[XXXXX1031]": 50098,
+  "[XXXXX1032]": 50802,
+  "[XXXXX1033]": 50061,
+  "[XXXXX1034]": 51139,
+  "[XXXXX1035]": 51110,
+  "[XXXXX1036]": 50204,
+  "[XXXXX1037]": 50023,
+  "[XXXXX1038]": 50142,
+  "[XXXXX1039]": 50328,
+  "[XXXXX103]": 50087,
+  "[XXXXX1040]": 50435,
+  "[XXXXX1041]": 50489,
+  "[XXXXX1042]": 50216,
+  "[XXXXX1043]": 50144,
+  "[XXXXX1044]": 50832,
+  "[XXXXX1045]": 50566,
+  "[XXXXX1046]": 50922,
+  "[XXXXX1047]": 50796,
+  "[XXXXX1048]": 50533,
+  "[XXXXX1049]": 50433,
+  "[XXXXX104]": 50478,
+  "[XXXXX1050]": 50953,
+  "[XXXXX1051]": 50497,
+  "[XXXXX1052]": 50655,
+  "[XXXXX1053]": 50881,
+  "[XXXXX1054]": 50461,
+  "[XXXXX1055]": 50052,
+  "[XXXXX1056]": 50219,
+  "[XXXXX1057]": 50789,
+  "[XXXXX1058]": 50121,
+  "[XXXXX1059]": 51002,
+  "[XXXXX105]": 51192,
+  "[XXXXX1060]": 50158,
+  "[XXXXX1061]": 50352,
+  "[XXXXX1062]": 50637,
+  "[XXXXX1063]": 50440,
+  "[XXXXX1064]": 50590,
+  "[XXXXX1065]": 51107,
+  "[XXXXX1066]": 50758,
+  "[XXXXX1067]": 51011,
+  "[XXXXX1068]": 50985,
+  "[XXXXX1069]": 51175,
+  "[XXXXX106]": 50532,
+  "[XXXXX1070]": 50790,
+  "[XXXXX1071]": 50394,
+  "[XXXXX1072]": 50852,
+  "[XXXXX1073]": 50869,
+  "[XXXXX1074]": 50126,
+  "[XXXXX1075]": 50783,
+  "[XXXXX1076]": 50806,
+  "[XXXXX1077]": 50882,
+  "[XXXXX1078]": 50726,
+  "[XXXXX1079]": 51010,
+  "[XXXXX107]": 50714,
+  "[XXXXX1080]": 50168,
+  "[XXXXX1081]": 50425,
+  "[XXXXX1082]": 50848,
+  "[XXXXX1083]": 50014,
+  "[XXXXX1084]": 50341,
+  "[XXXXX1085]": 50734,
+  "[XXXXX1086]": 50664,
+  "[XXXXX1087]": 51007,
+  "[XXXXX1088]": 51151,
+  "[XXXXX1089]": 50269,
+  "[XXXXX108]": 50996,
+  "[XXXXX1090]": 50826,
+  "[XXXXX1091]": 51105,
+  "[XXXXX1092]": 50731,
+  "[XXXXX1093]": 50856,
+  "[XXXXX1094]": 50369,
+  "[XXXXX1095]": 50065,
+  "[XXXXX1096]": 50309,
+  "[XXXXX1097]": 50838,
+  "[XXXXX1098]": 50451,
+  "[XXXXX1099]": 50384,
+  "[XXXXX109]": 50543,
+  "[XXXXX10]": 50325,
+  "[XXXXX1100]": 50318,
+  "[XXXXX1101]": 50764,
+  "[XXXXX1102]": 51025,
+  "[XXXXX1103]": 50642,
+  "[XXXXX1104]": 50665,
+  "[XXXXX1105]": 50855,
+  "[XXXXX1106]": 51063,
+  "[XXXXX1107]": 50025,
+  "[XXXXX1108]": 50122,
+  "[XXXXX1109]": 50470,
+  "[XXXXX110]": 50062,
+  "[XXXXX1110]": 51019,
+  "[XXXXX1111]": 51124,
+  "[XXXXX1112]": 50146,
+  "[XXXXX1113]": 51125,
+  "[XXXXX1114]": 50434,
+  "[XXXXX1115]": 50818,
+  "[XXXXX1116]": 50960,
+  "[XXXXX1117]": 50258,
+  "[XXXXX1118]": 50596,
+  "[XXXXX1119]": 50083,
+  "[XXXXX111]": 51064,
+  "[XXXXX1120]": 50915,
+  "[XXXXX1121]": 50835,
+  "[XXXXX1122]": 51056,
+  "[XXXXX1123]": 50172,
+  "[XXXXX1124]": 50972,
+  "[XXXXX1125]": 50275,
+  "[XXXXX1126]": 50430,
+  "[XXXXX1127]": 50743,
+  "[XXXXX1128]": 50551,
+  "[XXXXX1129]": 50439,
+  "[XXXXX112]": 50819,
+  "[XXXXX1130]": 50536,
+  "[XXXXX1131]": 50622,
+  "[XXXXX1132]": 50623,
+  "[XXXXX1133]": 50117,
+  "[XXXXX1134]": 50251,
+  "[XXXXX1135]": 50678,
+  "[XXXXX1136]": 50316,
+  "[XXXXX1137]": 50905,
+  "[XXXXX1138]": 50992,
+  "[XXXXX1139]": 50851,
+  "[XXXXX113]": 50443,
+  "[XXXXX1140]": 50499,
+  "[XXXXX1141]": 50629,
+  "[XXXXX1142]": 50944,
+  "[XXXXX1143]": 50373,
+  "[XXXXX1144]": 50123,
+  "[XXXXX1145]": 50173,
+  "[XXXXX1146]": 50891,
+  "[XXXXX1147]": 50471,
+  "[XXXXX1148]": 50560,
+  "[XXXXX1149]": 50541,
+  "[XXXXX114]": 50631,
+  "[XXXXX1150]": 50033,
+  "[XXXXX1151]": 50063,
+  "[XXXXX1152]": 50767,
+  "[XXXXX1153]": 50897,
+  "[XXXXX1154]": 50568,
+  "[XXXXX1155]": 51131,
+  "[XXXXX1156]": 50009,
+  "[XXXXX1157]": 50417,
+  "[XXXXX1158]": 50477,
+  "[XXXXX1159]": 50941,
+  "[XXXXX115]": 50294,
+  "[XXXXX1160]": 50679,
+  "[XXXXX1161]": 51108,
+  "[XXXXX1162]": 50332,
+  "[XXXXX1163]": 50424,
+  "[XXXXX1164]": 50473,
+  "[XXXXX1165]": 50793,
+  "[XXXXX1166]": 50453,
+  "[XXXXX1167]": 50807,
+  "[XXXXX1168]": 50128,
+  "[XXXXX1169]": 50039,
+  "[XXXXX116]": 50759,
+  "[XXXXX1170]": 50735,
+  "[XXXXX1171]": 50366,
+  "[XXXXX1172]": 50808,
+  "[XXXXX1173]": 50426,
+  "[XXXXX1174]": 50076,
+  "[XXXXX1175]": 50943,
+  "[XXXXX1176]": 50252,
+  "[XXXXX1177]": 50999,
+  "[XXXXX1178]": 50264,
+  "[XXXXX1179]": 50607,
+  "[XXXXX117]": 51036,
+  "[XXXXX1180]": 50986,
+  "[XXXXX1181]": 50744,
+  "[XXXXX1182]": 50186,
+  "[XXXXX1183]": 50555,
+  "[XXXXX1184]": 51076,
+  "[XXXXX1185]": 50849,
+  "[XXXXX1186]": 51128,
+  "[XXXXX1187]": 50858,
+  "[XXXXX1188]": 50656,
+  "[XXXXX1189]": 50064,
+  "[XXXXX118]": 50081,
+  "[XXXXX1190]": 51197,
+  "[XXXXX1191]": 50104,
+  "[XXXXX1192]": 50045,
+  "[XXXXX1193]": 50404,
+  "[XXXXX1194]": 50690,
+  "[XXXXX1195]": 50495,
+  "[XXXXX119]": 50108,
+  "[XXXXX11]": 50976,
+  "[XXXXX120]": 51081,
+  "[XXXXX121]": 50464,
+  "[XXXXX122]": 50829,
+  "[XXXXX123]": 50766,
+  "[XXXXX124]": 50732,
+  "[XXXXX125]": 50221,
+  "[XXXXX126]": 50810,
+  "[XXXXX127]": 50130,
+  "[XXXXX128]": 50751,
+  "[XXXXX129]": 50662,
+  "[XXXXX12]": 50602,
+  "[XXXXX130]": 50035,
+  "[XXXXX131]": 50715,
+  "[XXXXX132]": 50340,
+  "[XXXXX133]": 50563,
+  "[XXXXX134]": 50993,
+  "[XXXXX135]": 50304,
+  "[XXXXX136]": 50131,
+  "[XXXXX137]": 50578,
+  "[XXXXX138]": 50757,
+  "[XXXXX139]": 50582,
+  "[XXXXX13]": 50105,
+  "[XXXXX140]": 50085,
+  "[XXXXX141]": 50553,
+  "[XXXXX142]": 50749,
+  "[XXXXX143]": 50351,
+  "[XXXXX144]": 51024,
+  "[XXXXX145]": 51144,
+  "[XXXXX146]": 50042,
+  "[XXXXX147]": 50145,
+  "[XXXXX148]": 50066,
+  "[XXXXX149]": 50876,
+  "[XXXXX14]": 51006,
+  "[XXXXX150]": 50280,
+  "[XXXXX151]": 50093,
+  "[XXXXX152]": 50638,
+  "[XXXXX153]": 50684,
+  "[XXXXX154]": 50820,
+  "[XXXXX155]": 51196,
+  "[XXXXX156]": 50317,
+  "[XXXXX157]": 50284,
+  "[XXXXX158]": 50288,
+  "[XXXXX159]": 50814,
+  "[XXXXX15]": 50608,
+  "[XXXXX160]": 50004,
+  "[XXXXX161]": 50008,
+  "[XXXXX162]": 50377,
+  "[XXXXX163]": 50214,
+  "[XXXXX164]": 50708,
+  "[XXXXX165]": 50390,
+  "[XXXXX166]": 50741,
+  "[XXXXX167]": 50445,
+  "[XXXXX168]": 50936,
+  "[XXXXX169]": 50896,
+  "[XXXXX16]": 50442,
+  "[XXXXX170]": 50109,
+  "[XXXXX171]": 50140,
+  "[XXXXX172]": 50427,
+  "[XXXXX173]": 51074,
+  "[XXXXX174]": 50162,
+  "[XXXXX175]": 51015,
+  "[XXXXX176]": 50524,
+  "[XXXXX177]": 50673,
+  "[XXXXX178]": 50054,
+  "[XXXXX179]": 50805,
+  "[XXXXX17]": 50482,
+  "[XXXXX180]": 50253,
+  "[XXXXX181]": 50493,
+  "[XXXXX182]": 50421,
+  "[XXXXX183]": 51050,
+  "[XXXXX184]": 50521,
+  "[XXXXX185]": 50188,
+  "[XXXXX186]": 50147,
+  "[XXXXX187]": 50201,
+  "[XXXXX188]": 50973,
+  "[XXXXX189]": 50409,
+  "[XXXXX18]": 50115,
+  "[XXXXX190]": 50051,
+  "[XXXXX191]": 51020,
+  "[XXXXX192]": 51047,
+  "[XXXXX193]": 50669,
+  "[XXXXX194]": 50643,
+  "[XXXXX195]": 50159,
+  "[XXXXX196]": 50649,
+  "[XXXXX197]": 51178,
+  "[XXXXX198]": 50043,
+  "[XXXXX199]": 51147,
+  "[XXXXX19]": 51127,
+  "[XXXXX1]": 51114,
+  "[XXXXX200]": 50840,
+  "[XXXXX201]": 50365,
+  "[XXXXX202]": 50232,
+  "[XXXXX203]": 50241,
+  "[XXXXX204]": 50548,
+  "[XXXXX205]": 50781,
+  "[XXXXX206]": 50923,
+  "[XXXXX207]": 51115,
+  "[XXXXX208]": 50344,
+  "[XXXXX209]": 50299,
+  "[XXXXX20]": 51031,
+  "[XXXXX210]": 51179,
+  "[XXXXX211]": 51163,
+  "[XXXXX212]": 50562,
+  "[XXXXX213]": 50094,
+  "[XXXXX214]": 50257,
+  "[XXXXX215]": 50967,
+  "[XXXXX216]": 50523,
+  "[XXXXX217]": 51132,
+  "[XXXXX218]": 51146,
+  "[XXXXX219]": 50411,
+  "[XXXXX21]": 50354,
+  "[XXXXX220]": 50853,
+  "[XXXXX221]": 50886,
+  "[XXXXX222]": 50600,
+  "[XXXXX223]": 50873,
+  "[XXXXX224]": 50416,
+  "[XXXXX225]": 50675,
+  "[XXXXX226]": 50583,
+  "[XXXXX227]": 50151,
+  "[XXXXX228]": 50927,
+  "[XXXXX229]": 50609,
+  "[XXXXX22]": 50589,
+  "[XXXXX230]": 50238,
+  "[XXXXX231]": 50242,
+  "[XXXXX232]": 51016,
+  "[XXXXX233]": 50406,
+  "[XXXXX234]": 50908,
+  "[XXXXX235]": 50024,
+  "[XXXXX236]": 50270,
+  "[XXXXX237]": 50132,
+  "[XXXXX238]": 50800,
+  "[XXXXX239]": 50236,
+  "[XXXXX23]": 50007,
+  "[XXXXX240]": 50005,
+  "[XXXXX241]": 50894,
+  "[XXXXX242]": 50694,
+  "[XXXXX243]": 51071,
+  "[XXXXX244]": 51017,
+  "[XXXXX245]": 50068,
+  "[XXXXX246]": 50682,
+  "[XXXXX247]": 50913,
+  "[XXXXX248]": 51028,
+  "[XXXXX249]": 50037,
+  "[XXXXX24]": 51169,
+  "[XXXXX250]": 50747,
+  "[XXXXX251]": 50947,
+  "[XXXXX252]": 50329,
+  "[XXXXX253]": 50612,
+  "[XXXXX254]": 50110,
+  "[XXXXX255]": 50824,
+  "[XXXXX256]": 50558,
+  "[XXXXX257]": 50969,
+  "[XXXXX258]": 50729,
+  "[XXXXX259]": 50125,
+  "[XXXXX25]": 51160,
+  "[XXXXX260]": 50040,
+  "[XXXXX261]": 51038,
+  "[XXXXX262]": 50347,
+  "[XXXXX263]": 50740,
+  "[XXXXX264]": 51195,
+  "[XXXXX265]": 50879,
+  "[XXXXX266]": 50770,
+  "[XXXXX267]": 50178,
+  "[XXXXX268]": 50804,
+  "[XXXXX269]": 50906,
+  "[XXXXX26]": 50150,
+  "[XXXXX270]": 51191,
+  "[XXXXX271]": 50047,
+  "[XXXXX272]": 50195,
+  "[XXXXX273]": 50554,
+  "[XXXXX274]": 50833,
+  "[XXXXX275]": 50346,
+  "[XXXXX276]": 50950,
+  "[XXXXX277]": 50864,
+  "[XXXXX278]": 50259,
+  "[XXXXX279]": 50671,
+  "[XXXXX27]": 50468,
+  "[XXXXX280]": 50082,
+  "[XXXXX281]": 50565,
+  "[XXXXX282]": 50984,
+  "[XXXXX283]": 50650,
+  "[XXXXX284]": 50975,
+  "[XXXXX285]": 50603,
+  "[XXXXX286]": 50027,
+  "[XXXXX287]": 50181,
+  "[XXXXX288]": 50981,
+  "[XXXXX289]": 50885,
+  "[XXXXX28]": 50249,
+  "[XXXXX290]": 50522,
+  "[XXXXX291]": 50050,
+  "[XXXXX292]": 50313,
+  "[XXXXX293]": 50503,
+  "[XXXXX294]": 51176,
+  "[XXXXX295]": 51177,
+  "[XXXXX296]": 50379,
+  "[XXXXX297]": 50635,
+  "[XXXXX298]": 50723,
+  "[XXXXX299]": 50200,
+  "[XXXXX29]": 50892,
+  "[XXXXX2]": 51119,
+  "[XXXXX300]": 51026,
+  "[XXXXX301]": 50528,
+  "[XXXXX302]": 51149,
+  "[XXXXX303]": 50044,
+  "[XXXXX304]": 50209,
+  "[XXXXX305]": 50988,
+  "[XXXXX306]": 50518,
+  "[XXXXX307]": 50088,
+  "[XXXXX308]": 50733,
+  "[XXXXX309]": 51066,
+  "[XXXXX30]": 50506,
+  "[XXXXX310]": 50285,
+  "[XXXXX311]": 50859,
+  "[XXXXX312]": 50263,
+  "[XXXXX313]": 50594,
+  "[XXXXX314]": 51103,
+  "[XXXXX315]": 50871,
+  "[XXXXX316]": 50300,
+  "[XXXXX317]": 50760,
+  "[XXXXX318]": 50055,
+  "[XXXXX319]": 50389,
+  "[XXXXX31]": 50212,
+  "[XXXXX320]": 50444,
+  "[XXXXX321]": 50994,
+  "[XXXXX322]": 50281,
+  "[XXXXX323]": 50179,
+  "[XXXXX324]": 50455,
+  "[XXXXX325]": 50970,
+  "[XXXXX326]": 50666,
+  "[XXXXX327]": 50604,
+  "[XXXXX328]": 50627,
+  "[XXXXX329]": 50475,
+  "[XXXXX32]": 50277,
+  "[XXXXX330]": 50667,
+  "[XXXXX331]": 50348,
+  "[XXXXX332]": 50772,
+  "[XXXXX333]": 50163,
+  "[XXXXX334]": 50569,
+  "[XXXXX335]": 50018,
+  "[XXXXX336]": 50883,
+  "[XXXXX337]": 50067,
+  "[XXXXX338]": 51184,
+  "[XXXXX339]": 50997,
+  "[XXXXX33]": 50403,
+  "[XXXXX340]": 51013,
+  "[XXXXX341]": 50957,
+  "[XXXXX342]": 51106,
+  "[XXXXX343]": 51174,
+  "[XXXXX344]": 50391,
+  "[XXXXX345]": 50948,
+  "[XXXXX346]": 50180,
+  "[XXXXX347]": 50811,
+  "[XXXXX348]": 50401,
+  "[XXXXX349]": 50911,
+  "[XXXXX34]": 50223,
+  "[XXXXX350]": 51089,
+  "[XXXXX351]": 50777,
+  "[XXXXX352]": 50189,
+  "[XXXXX353]": 50492,
+  "[XXXXX354]": 50205,
+  "[XXXXX355]": 50374,
+  "[XXXXX356]": 51152,
+  "[XXXXX357]": 50695,
+  "[XXXXX358]": 51117,
+  "[XXXXX359]": 50573,
+  "[XXXXX35]": 50752,
+  "[XXXXX360]": 50955,
+  "[XXXXX361]": 50349,
+  "[XXXXX362]": 51137,
+  "[XXXXX363]": 50641,
+  "[XXXXX364]": 51148,
+  "[XXXXX365]": 50255,
+  "[XXXXX366]": 50310,
+  "[XXXXX367]": 50314,
+  "[XXXXX368]": 50971,
+  "[XXXXX369]": 50916,
+  "[XXXXX36]": 50437,
+  "[XXXXX370]": 51096,
+  "[XXXXX371]": 50557,
+  "[XXXXX372]": 51095,
+  "[XXXXX373]": 50382,
+  "[XXXXX374]": 50119,
+  "[XXXXX375]": 50958,
+  "[XXXXX376]": 50624,
+  "[XXXXX377]": 50483,
+  "[XXXXX378]": 50605,
+  "[XXXXX379]": 50017,
+  "[XXXXX37]": 50706,
+  "[XXXXX380]": 50246,
+  "[XXXXX381]": 50588,
+  "[XXXXX382]": 51008,
+  "[XXXXX383]": 50801,
+  "[XXXXX384]": 50290,
+  "[XXXXX385]": 50899,
+  "[XXXXX386]": 50206,
+  "[XXXXX387]": 50716,
+  "[XXXXX388]": 51082,
+  "[XXXXX389]": 50177,
+  "[XXXXX38]": 50736,
+  "[XXXXX390]": 50282,
+  "[XXXXX391]": 51183,
+  "[XXXXX392]": 50286,
+  "[XXXXX393]": 50659,
+  "[XXXXX394]": 50378,
+  "[XXXXX395]": 50709,
+  "[XXXXX396]": 50028,
+  "[XXXXX397]": 50235,
+  "[XXXXX398]": 51014,
+  "[XXXXX399]": 50880,
+  "[XXXXX39]": 50305,
+  "[XXXXX3]": 50077,
+  "[XXXXX400]": 50155,
+  "[XXXXX401]": 50710,
+  "[XXXXX402]": 50507,
+  "[XXXXX403]": 50860,
+  "[XXXXX404]": 50661,
+  "[XXXXX405]": 51083,
+  "[XXXXX406]": 50888,
+  "[XXXXX407]": 50069,
+  "[XXXXX408]": 50691,
+  "[XXXXX409]": 51055,
+  "[XXXXX40]": 50337,
+  "[XXXXX410]": 50137,
+  "[XXXXX411]": 50791,
+  "[XXXXX412]": 50136,
+  "[XXXXX413]": 50730,
+  "[XXXXX414]": 50267,
+  "[XXXXX415]": 50012,
+  "[XXXXX416]": 50681,
+  "[XXXXX417]": 50942,
+  "[XXXXX418]": 50720,
+  "[XXXXX419]": 50844,
+  "[XXXXX41]": 50387,
+  "[XXXXX420]": 50111,
+  "[XXXXX421]": 51003,
+  "[XXXXX422]": 50785,
+  "[XXXXX423]": 50149,
+  "[XXXXX424]": 50422,
+  "[XXXXX425]": 51086,
+  "[XXXXX426]": 50862,
+  "[XXXXX427]": 50576,
+  "[XXXXX428]": 51049,
+  "[XXXXX429]": 50630,
+  "[XXXXX42]": 50799,
+  "[XXXXX430]": 50289,
+  "[XXXXX431]": 50184,
+  "[XXXXX432]": 50319,
+  "[XXXXX433]": 51116,
+  "[XXXXX434]": 50519,
+  "[XXXXX435]": 50496,
+  "[XXXXX436]": 50517,
+  "[XXXXX437]": 50865,
+  "[XXXXX438]": 50737,
+  "[XXXXX439]": 50356,
+  "[XXXXX43]": 50359,
+  "[XXXXX440]": 50898,
+  "[XXXXX441]": 50113,
+  "[XXXXX442]": 50527,
+  "[XXXXX443]": 50762,
+  "[XXXXX444]": 50540,
+  "[XXXXX445]": 50925,
+  "[XXXXX446]": 50711,
+  "[XXXXX447]": 50143,
+  "[XXXXX448]": 51170,
+  "[XXXXX449]": 50413,
+  "[XXXXX44]": 50097,
+  "[XXXXX450]": 50375,
+  "[XXXXX451]": 50846,
+  "[XXXXX452]": 50217,
+  "[XXXXX453]": 50699,
+  "[XXXXX454]": 50412,
+  "[XXXXX455]": 50418,
+  "[XXXXX456]": 51143,
+  "[XXXXX457]": 51141,
+  "[XXXXX458]": 51157,
+  "[XXXXX459]": 50825,
+  "[XXXXX45]": 50203,
+  "[XXXXX460]": 50194,
+  "[XXXXX461]": 50148,
+  "[XXXXX462]": 50276,
+  "[XXXXX463]": 50271,
+  "[XXXXX464]": 50836,
+  "[XXXXX465]": 50854,
+  "[XXXXX466]": 50164,
+  "[XXXXX467]": 50484,
+  "[XXXXX468]": 51097,
+  "[XXXXX469]": 50182,
+  "[XXXXX46]": 50505,
+  "[XXXXX470]": 50670,
+  "[XXXXX471]": 50595,
+  "[XXXXX472]": 50237,
+  "[XXXXX473]": 50057,
+  "[XXXXX474]": 50431,
+  "[XXXXX475]": 50738,
+  "[XXXXX476]": 51145,
+  "[XXXXX477]": 50247,
+  "[XXXXX478]": 50029,
+  "[XXXXX479]": 50917,
+  "[XXXXX47]": 50579,
+  "[XXXXX480]": 50702,
+  "[XXXXX481]": 50831,
+  "[XXXXX482]": 50753,
+  "[XXXXX483]": 50598,
+  "[XXXXX484]": 51136,
+  "[XXXXX485]": 50092,
+  "[XXXXX486]": 50202,
+  "[XXXXX487]": 50106,
+  "[XXXXX488]": 50924,
+  "[XXXXX489]": 51113,
+  "[XXXXX48]": 50842,
+  "[XXXXX490]": 50761,
+  "[XXXXX491]": 50577,
+  "[XXXXX492]": 50692,
+  "[XXXXX493]": 51130,
+  "[XXXXX494]": 50932,
+  "[XXXXX495]": 50837,
+  "[XXXXX496]": 50893,
+  "[XXXXX497]": 50773,
+  "[XXXXX498]": 50360,
+  "[XXXXX499]": 50900,
+  "[XXXXX49]": 51062,
+  "[XXXXX4]": 50396,
+  "[XXXXX500]": 51034,
+  "[XXXXX501]": 50472,
+  "[XXXXX502]": 50660,
+  "[XXXXX503]": 50815,
+  "[XXXXX504]": 50939,
+  "[XXXXX505]": 50419,
+  "[XXXXX506]": 50324,
+  "[XXXXX507]": 50428,
+  "[XXXXX508]": 50274,
+  "[XXXXX509]": 50311,
+  "[XXXXX50]": 50459,
+  "[XXXXX510]": 50674,
+  "[XXXXX511]": 50580,
+  "[XXXXX512]": 50956,
+  "[XXXXX513]": 50165,
+  "[XXXXX514]": 50320,
+  "[XXXXX515]": 50648,
+  "[XXXXX516]": 50386,
+  "[XXXXX517]": 50058,
+  "[XXXXX518]": 51045,
+  "[XXXXX519]": 50103,
+  "[XXXXX51]": 50979,
+  "[XXXXX520]": 50530,
+  "[XXXXX521]": 50907,
+  "[XXXXX522]": 50260,
+  "[XXXXX523]": 50632,
+  "[XXXXX524]": 50926,
+  "[XXXXX525]": 50687,
+  "[XXXXX526]": 50160,
+  "[XXXXX527]": 51053,
+  "[XXXXX528]": 50652,
+  "[XXXXX529]": 51041,
+  "[XXXXX52]": 50272,
+  "[XXXXX530]": 51111,
+  "[XXXXX531]": 51009,
+  "[XXXXX532]": 51079,
+  "[XXXXX533]": 50487,
+  "[XXXXX534]": 51059,
+  "[XXXXX535]": 50335,
+  "[XXXXX536]": 50380,
+  "[XXXXX537]": 50301,
+  "[XXXXX538]": 51067,
+  "[XXXXX539]": 51052,
+  "[XXXXX53]": 51048,
+  "[XXXXX540]": 50822,
+  "[XXXXX541]": 51040,
+  "[XXXXX542]": 50490,
+  "[XXXXX543]": 50448,
+  "[XXXXX544]": 50812,
+  "[XXXXX545]": 50099,
+  "[XXXXX546]": 51199,
+  "[XXXXX547]": 50226,
+  "[XXXXX548]": 50538,
+  "[XXXXX549]": 50342,
+  "[XXXXX54]": 50701,
+  "[XXXXX550]": 50544,
+  "[XXXXX551]": 50398,
+  "[XXXXX552]": 51102,
+  "[XXXXX553]": 50919,
+  "[XXXXX554]": 50615,
+  "[XXXXX555]": 50769,
+  "[XXXXX556]": 50940,
+  "[XXXXX557]": 50070,
+  "[XXXXX558]": 50680,
+  "[XXXXX559]": 50611,
+  "[XXXXX55]": 50574,
+  "[XXXXX560]": 50381,
+  "[XXXXX561]": 50350,
+  "[XXXXX562]": 50175,
+  "[XXXXX563]": 50584,
+  "[XXXXX564]": 50703,
+  "[XXXXX565]": 50989,
+  "[XXXXX566]": 50877,
+  "[XXXXX567]": 51039,
+  "[XXXXX568]": 51018,
+  "[XXXXX569]": 50452,
+  "[XXXXX56]": 51099,
+  "[XXXXX570]": 50161,
+  "[XXXXX571]": 50921,
+  "[XXXXX572]": 50676,
+  "[XXXXX573]": 50326,
+  "[XXXXX574]": 50987,
+  "[XXXXX575]": 50361,
+  "[XXXXX576]": 50071,
+  "[XXXXX577]": 50803,
+  "[XXXXX578]": 50400,
+  "[XXXXX579]": 51091,
+  "[XXXXX57]": 50501,
+  "[XXXXX580]": 50887,
+  "[XXXXX581]": 50839,
+  "[XXXXX582]": 51138,
+  "[XXXXX583]": 50816,
+  "[XXXXX584]": 50339,
+  "[XXXXX585]": 50463,
+  "[XXXXX586]": 50399,
+  "[XXXXX587]": 51070,
+  "[XXXXX588]": 50457,
+  "[XXXXX589]": 50828,
+  "[XXXXX58]": 50183,
+  "[XXXXX590]": 50080,
+  "[XXXXX591]": 50550,
+  "[XXXXX592]": 50129,
+  "[XXXXX593]": 50273,
+  "[XXXXX594]": 50388,
+  "[XXXXX595]": 50491,
+  "[XXXXX596]": 50278,
+  "[XXXXX597]": 50011,
+  "[XXXXX598]": 50254,
+  "[XXXXX599]": 50302,
+  "[XXXXX59]": 50353,
+  "[XXXXX5]": 50010,
+  "[XXXXX600]": 50704,
+  "[XXXXX601]": 51118,
+  "[XXXXX602]": 50049,
+  "[XXXXX603]": 51190,
+  "[XXXXX604]": 51142,
+  "[XXXXX605]": 50707,
+  "[XXXXX606]": 50937,
+  "[XXXXX607]": 50875,
+  "[XXXXX608]": 50564,
+  "[XXXXX609]": 50345,
+  "[XXXXX60]": 50713,
+  "[XXXXX610]": 50949,
+  "[XXXXX611]": 50978,
+  "[XXXXX612]": 50330,
+  "[XXXXX613]": 51035,
+  "[XXXXX614]": 50402,
+  "[XXXXX615]": 50176,
+  "[XXXXX616]": 51133,
+  "[XXXXX617]": 50222,
+  "[XXXXX618]": 50118,
+  "[XXXXX619]": 50196,
+  "[XXXXX61]": 50298,
+  "[XXXXX620]": 50668,
+  "[XXXXX621]": 50462,
+  "[XXXXX622]": 50218,
+  "[XXXXX623]": 51101,
+  "[XXXXX624]": 50362,
+  "[XXXXX625]": 50779,
+  "[XXXXX626]": 50513,
+  "[XXXXX627]": 50746,
+  "[XXXXX628]": 50141,
+  "[XXXXX629]": 50479,
+  "[XXXXX62]": 50056,
+  "[XXXXX630]": 51180,
+  "[XXXXX631]": 50872,
+  "[XXXXX632]": 50315,
+  "[XXXXX633]": 50397,
+  "[XXXXX634]": 51165,
+  "[XXXXX635]": 50046,
+  "[XXXXX636]": 50795,
+  "[XXXXX637]": 50959,
+  "[XXXXX638]": 50786,
+  "[XXXXX639]": 50240,
+  "[XXXXX63]": 51061,
+  "[XXXXX640]": 50601,
+  "[XXXXX641]": 50904,
+  "[XXXXX642]": 50376,
+  "[XXXXX643]": 50663,
+  "[XXXXX644]": 50613,
+  "[XXXXX645]": 50467,
+  "[XXXXX646]": 50546,
+  "[XXXXX647]": 50465,
+  "[XXXXX648]": 50395,
+  "[XXXXX649]": 50287,
+  "[XXXXX64]": 51162,
+  "[XXXXX650]": 50474,
+  "[XXXXX651]": 50727,
+  "[XXXXX652]": 50243,
+  "[XXXXX653]": 51100,
+  "[XXXXX654]": 50705,
+  "[XXXXX655]": 51012,
+  "[XXXXX656]": 50447,
+  "[XXXXX657]": 50719,
+  "[XXXXX658]": 50712,
+  "[XXXXX659]": 50476,
+  "[XXXXX65]": 50587,
+  "[XXXXX660]": 51054,
+  "[XXXXX661]": 51166,
+  "[XXXXX662]": 50494,
+  "[XXXXX663]": 50230,
+  "[XXXXX664]": 50621,
+  "[XXXXX665]": 50809,
+  "[XXXXX666]": 50265,
+  "[XXXXX667]": 50645,
+  "[XXXXX668]": 50817,
+  "[XXXXX669]": 50030,
+  "[XXXXX66]": 51029,
+  "[XXXXX670]": 51004,
+  "[XXXXX671]": 50685,
+  "[XXXXX672]": 50625,
+  "[XXXXX673]": 50890,
+  "[XXXXX674]": 50383,
+  "[XXXXX675]": 50929,
+  "[XXXXX676]": 50116,
+  "[XXXXX677]": 51072,
+  "[XXXXX678]": 51126,
+  "[XXXXX679]": 50755,
+  "[XXXXX67]": 50717,
+  "[XXXXX680]": 50303,
+  "[XXXXX681]": 50504,
+  "[XXXXX682]": 51075,
+  "[XXXXX683]": 50261,
+  "[XXXXX684]": 50861,
+  "[XXXXX685]": 50306,
+  "[XXXXX686]": 50016,
+  "[XXXXX687]": 50101,
+  "[XXXXX688]": 51098,
+  "[XXXXX689]": 50827,
+  "[XXXXX68]": 50863,
+  "[XXXXX690]": 50640,
+  "[XXXXX691]": 50031,
+  "[XXXXX692]": 50768,
+  "[XXXXX693]": 50013,
+  "[XXXXX694]": 51032,
+  "[XXXXX695]": 50166,
+  "[XXXXX696]": 50127,
+  "[XXXXX697]": 50414,
+  "[XXXXX698]": 50742,
+  "[XXXXX699]": 51042,
+  "[XXXXX69]": 51112,
+  "[XXXXX6]": 50593,
+  "[XXXXX700]": 50292,
+  "[XXXXX701]": 50174,
+  "[XXXXX702]": 50547,
+  "[XXXXX703]": 50498,
+  "[XXXXX704]": 51078,
+  "[XXXXX705]": 50133,
+  "[XXXXX706]": 50041,
+  "[XXXXX707]": 51181,
+  "[XXXXX708]": 50585,
+  "[XXXXX709]": 50776,
+  "[XXXXX70]": 50053,
+  "[XXXXX710]": 50336,
+  "[XXXXX711]": 50765,
+  "[XXXXX712]": 50224,
+  "[XXXXX713]": 50599,
+  "[XXXXX714]": 50207,
+  "[XXXXX715]": 51043,
+  "[XXXXX716]": 51090,
+  "[XXXXX717]": 50006,
+  "[XXXXX718]": 50901,
+  "[XXXXX719]": 51001,
+  "[XXXXX71]": 50954,
+  "[XXXXX720]": 50646,
+  "[XXXXX721]": 50075,
+  "[XXXXX722]": 51120,
+  "[XXXXX723]": 50215,
+  "[XXXXX724]": 50415,
+  "[XXXXX725]": 50154,
+  "[XXXXX726]": 50935,
+  "[XXXXX727]": 50545,
+  "[XXXXX728]": 51085,
+  "[XXXXX729]": 50256,
+  "[XXXXX72]": 50363,
+  "[XXXXX730]": 50700,
+  "[XXXXX731]": 50262,
+  "[XXXXX732]": 50930,
+  "[XXXXX733]": 50333,
+  "[XXXXX734]": 50884,
+  "[XXXXX735]": 51030,
+  "[XXXXX736]": 50231,
+  "[XXXXX737]": 50405,
+  "[XXXXX738]": 50962,
+  "[XXXXX739]": 50458,
+  "[XXXXX73]": 50019,
+  "[XXXXX740]": 50878,
+  "[XXXXX741]": 50910,
+  "[XXXXX742]": 50170,
+  "[XXXXX743]": 50718,
+  "[XXXXX744]": 50616,
+  "[XXXXX745]": 50358,
+  "[XXXXX746]": 50152,
+  "[XXXXX747]": 50525,
+  "[XXXXX748]": 51167,
+  "[XXXXX749]": 50653,
+  "[XXXXX74]": 50952,
+  "[XXXXX750]": 50500,
+  "[XXXXX751]": 50446,
+  "[XXXXX752]": 50995,
+  "[XXXXX753]": 50945,
+  "[XXXXX754]": 51173,
+  "[XXXXX755]": 50823,
+  "[XXXXX756]": 51060,
+  "[XXXXX757]": 50748,
+  "[XXXXX758]": 50020,
+  "[XXXXX759]": 50197,
+  "[XXXXX75]": 50502,
+  "[XXXXX760]": 50291,
+  "[XXXXX761]": 50821,
+  "[XXXXX762]": 50190,
+  "[XXXXX763]": 50745,
+  "[XXXXX764]": 50778,
+  "[XXXXX765]": 50556,
+  "[XXXXX766]": 51161,
+  "[XXXXX767]": 50466,
+  "[XXXXX768]": 50792,
+  "[XXXXX769]": 50208,
+  "[XXXXX76]": 50169,
+  "[XXXXX770]": 50647,
+  "[XXXXX771]": 50610,
+  "[XXXXX772]": 51140,
+  "[XXXXX773]": 50441,
+  "[XXXXX774]": 50870,
+  "[XXXXX775]": 50368,
+  "[XXXXX776]": 50026,
+  "[XXXXX777]": 50677,
+  "[XXXXX778]": 51168,
+  "[XXXXX779]": 50481,
+  "[XXXXX77]": 50515,
+  "[XXXXX780]": 50225,
+  "[XXXXX781]": 50408,
+  "[XXXXX782]": 50090,
+  "[XXXXX783]": 50951,
+  "[XXXXX784]": 50015,
+  "[XXXXX785]": 50658,
+  "[XXXXX786]": 50617,
+  "[XXXXX787]": 50721,
+  "[XXXXX788]": 51084,
+  "[XXXXX789]": 50830,
+  "[XXXXX78]": 50100,
+  "[XXXXX790]": 50606,
+  "[XXXXX791]": 50124,
+  "[XXXXX792]": 50078,
+  "[XXXXX793]": 51188,
+  "[XXXXX794]": 50750,
+  "[XXXXX795]": 50138,
+  "[XXXXX796]": 50239,
+  "[XXXXX797]": 50385,
+  "[XXXXX798]": 50780,
+  "[XXXXX799]": 50683,
+  "[XXXXX79]": 50436,
+  "[XXXXX7]": 50211,
+  "[XXXXX800]": 51185,
+  "[XXXXX801]": 50250,
+  "[XXXXX802]": 50456,
+  "[XXXXX803]": 50508,
+  "[XXXXX804]": 51194,
+  "[XXXXX805]": 50021,
+  "[XXXXX806]": 50307,
+  "[XXXXX807]": 50199,
+  "[XXXXX808]": 51129,
+  "[XXXXX809]": 50686,
+  "[XXXXX80]": 50370,
+  "[XXXXX810]": 50343,
+  "[XXXXX811]": 50614,
+  "[XXXXX812]": 50636,
+  "[XXXXX813]": 51198,
+  "[XXXXX814]": 50788,
+  "[XXXXX815]": 50120,
+  "[XXXXX816]": 50135,
+  "[XXXXX817]": 50293,
+  "[XXXXX818]": 50153,
+  "[XXXXX819]": 50516,
+  "[XXXXX81]": 50581,
+  "[XXXXX820]": 50586,
+  "[XXXXX821]": 50509,
+  "[XXXXX822]": 50220,
+  "[XXXXX823]": 51068,
+  "[XXXXX824]": 50946,
+  "[XXXXX825]": 50965,
+  "[XXXXX826]": 50032,
+  "[XXXXX827]": 50156,
+  "[XXXXX828]": 50449,
+  "[XXXXX829]": 50531,
+  "[XXXXX82]": 51164,
+  "[XXXXX830]": 50486,
+  "[XXXXX831]": 50357,
+  "[XXXXX832]": 51022,
+  "[XXXXX833]": 50633,
+  "[XXXXX834]": 50754,
+  "[XXXXX835]": 51134,
+  "[XXXXX836]": 50193,
+  "[XXXXX837]": 51088,
+  "[XXXXX838]": 50722,
+  "[XXXXX839]": 50756,
+  "[XXXXX83]": 50977,
+  "[XXXXX840]": 50022,
+  "[XXXXX841]": 51186,
+  "[XXXXX842]": 50575,
+  "[XXXXX843]": 50079,
+  "[XXXXX844]": 50644,
+  "[XXXXX845]": 51033,
+  "[XXXXX846]": 50454,
+  "[XXXXX847]": 50095,
+  "[XXXXX848]": 50902,
+  "[XXXXX849]": 50597,
+  "[XXXXX84]": 50167,
+  "[XXXXX850]": 51051,
+  "[XXXXX851]": 50696,
+  "[XXXXX852]": 50966,
+  "[XXXXX853]": 50034,
+  "[XXXXX854]": 50889,
+  "[XXXXX855]": 50843,
+  "[XXXXX856]": 50963,
+  "[XXXXX857]": 50227,
+  "[XXXXX858]": 51058,
+  "[XXXXX859]": 50850,
+  "[XXXXX85]": 50192,
+  "[XXXXX860]": 50228,
+  "[XXXXX861]": 50570,
+  "[XXXXX862]": 50488,
+  "[XXXXX863]": 50539,
+  "[XXXXX864]": 51182,
+  "[XXXXX865]": 50990,
+  "[XXXXX866]": 50542,
+  "[XXXXX867]": 51069,
+  "[XXXXX868]": 50480,
+  "[XXXXX869]": 50847,
+  "[XXXXX86]": 50874,
+  "[XXXXX870]": 50308,
+  "[XXXXX871]": 50510,
+  "[XXXXX872]": 50423,
+  "[XXXXX873]": 50086,
+  "[XXXXX874]": 50591,
+  "[XXXXX875]": 50728,
+  "[XXXXX876]": 50372,
+  "[XXXXX877]": 50903,
+  "[XXXXX878]": 50868,
+  "[XXXXX879]": 50763,
+  "[XXXXX87]": 50571,
+  "[XXXXX880]": 50096,
+  "[XXXXX881]": 51150,
+  "[XXXXX882]": 50460,
+  "[XXXXX883]": 51087,
+  "[XXXXX884]": 51093,
+  "[XXXXX885]": 50295,
+  "[XXXXX886]": 51037,
+  "[XXXXX887]": 51171,
+  "[XXXXX888]": 50794,
+  "[XXXXX889]": 50628,
+  "[XXXXX88]": 50520,
+  "[XXXXX890]": 51172,
+  "[XXXXX891]": 51046,
+  "[XXXXX892]": 50918,
+  "[XXXXX893]": 50998,
+  "[XXXXX894]": 50371,
+  "[XXXXX895]": 51155,
+  "[XXXXX896]": 50866,
+  "[XXXXX897]": 50229,
+  "[XXXXX898]": 51057,
+  "[XXXXX899]": 50867,
+  "[XXXXX89]": 50537,
+  "[XXXXX8]": 50784,
+  "[XXXXX900]": 50739,
+  "[XXXXX901]": 51080,
+  "[XXXXX902]": 50038,
+  "[XXXXX903]": 50321,
+  "[XXXXX904]": 50774,
+  "[XXXXX905]": 50974,
+  "[XXXXX906]": 50920,
+  "[XXXXX907]": 50469,
+  "[XXXXX908]": 51122,
+  "[XXXXX909]": 51092,
+  "[XXXXX90]": 50514,
+  "[XXXXX910]": 50798,
+  "[XXXXX911]": 50245,
+  "[XXXXX912]": 50367,
+  "[XXXXX913]": 50618,
+  "[XXXXX914]": 50072,
+  "[XXXXX915]": 50450,
+  "[XXXXX916]": 51189,
+  "[XXXXX917]": 50485,
+  "[XXXXX918]": 50283,
+  "[XXXXX919]": 50845,
+  "[XXXXX91]": 50968,
+  "[XXXXX920]": 50429,
+  "[XXXXX921]": 50364,
+  "[XXXXX922]": 50782,
+  "[XXXXX923]": 50534,
+  "[XXXXX924]": 50059,
+  "[XXXXX925]": 50102,
+  "[XXXXX926]": 50185,
+  "[XXXXX927]": 50634,
+  "[XXXXX928]": 50567,
+  "[XXXXX929]": 50895,
+  "[XXXXX92]": 50210,
+  "[XXXXX930]": 50561,
+  "[XXXXX931]": 51021,
+  "[XXXXX932]": 50107,
+  "[XXXXX933]": 50407,
+  "[XXXXX934]": 50654,
+  "[XXXXX935]": 50268,
+  "[XXXXX936]": 51153,
+  "[XXXXX937]": 50552,
+  "[XXXXX938]": 50526,
+  "[XXXXX939]": 50322,
+  "[XXXXX93]": 50912,
+  "[XXXXX940]": 50296,
+  "[XXXXX941]": 50572,
+  "[XXXXX942]": 50393,
+  "[XXXXX943]": 50312,
+  "[XXXXX944]": 50592,
+  "[XXXXX945]": 50982,
+  "[XXXXX946]": 50089,
+  "[XXXXX947]": 50331,
+  "[XXXXX948]": 50279,
+  "[XXXXX949]": 51005,
+  "[XXXXX94]": 50198,
+  "[XXXXX950]": 50114,
+  "[XXXXX951]": 50074,
+  "[XXXXX952]": 50248,
+  "[XXXXX953]": 50857,
+  "[XXXXX954]": 50841,
+  "[XXXXX955]": 51065,
+  "[XXXXX956]": 50234,
+  "[XXXXX957]": 50834,
+  "[XXXXX958]": 50535,
+  "[XXXXX959]": 51109,
+  "[XXXXX95]": 50651,
+  "[XXXXX960]": 50797,
+  "[XXXXX961]": 50914,
+  "[XXXXX962]": 50112,
+  "[XXXXX963]": 50073,
+  "[XXXXX964]": 50559,
+  "[XXXXX965]": 50933,
+  "[XXXXX966]": 50619,
+  "[XXXXX967]": 51187,
+  "[XXXXX968]": 50327,
+  "[XXXXX969]": 50698,
+  "[XXXXX96]": 50420,
+  "[XXXXX970]": 50060,
+  "[XXXXX971]": 50432,
+  "[XXXXX972]": 50620,
+  "[XXXXX973]": 50693,
+  "[XXXXX974]": 50938,
+  "[XXXXX975]": 50983,
+  "[XXXXX976]": 50334,
+  "[XXXXX977]": 50438,
+  "[XXXXX978]": 51154,
+  "[XXXXX979]": 50964,
+  "[XXXXX97]": 50672,
+  "[XXXXX980]": 50511,
+  "[XXXXX981]": 50244,
+  "[XXXXX982]": 50266,
+  "[XXXXX983]": 50134,
+  "[XXXXX984]": 50338,
+  "[XXXXX985]": 51121,
+  "[XXXXX986]": 50323,
+  "[XXXXX987]": 50909,
+  "[XXXXX988]": 51000,
+  "[XXXXX989]": 50036,
+  "[XXXXX98]": 50787,
+  "[XXXXX990]": 50512,
+  "[XXXXX991]": 50191,
+  "[XXXXX992]": 50187,
+  "[XXXXX993]": 51156,
+  "[XXXXX994]": 51135,
+  "[XXXXX995]": 50355,
+  "[XXXXX996]": 51027,
+  "[XXXXX997]": 50297,
+  "[XXXXX998]": 50928,
+  "[XXXXX999]": 50697,
+  "[XXXXX99]": 50980,
+  "[XXXXX9]": 50961
+}
diff --git a/checkpoint-1500/config.json b/checkpoint-1500/config.json
new file mode 100644
index 0000000..000c292
--- /dev/null
+++ b/checkpoint-1500/config.json
@@ -0,0 +1,34 @@
+{
+  "activation_function": "gelu",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50000,
+  "dtype": "bfloat16",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50001,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 512,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": 3072,
+  "n_layer": 12,
+  "n_positions": 512,
+  "pad_token_id": 50002,
+  "prefix": "[CLS]",
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "vocab_size": 51200
+}
diff --git a/checkpoint-1500/generation_config.json b/checkpoint-1500/generation_config.json
new file mode 100644
index 0000000..4c122f0
--- /dev/null
+++ b/checkpoint-1500/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50000,
+  "eos_token_id": [
+    50001
+  ],
+  "pad_token_id": 50002,
+  "transformers_version": "4.56.2"
+}
diff --git a/checkpoint-1500/model.safetensors b/checkpoint-1500/model.safetensors
new file mode 100644
index 0000000..8832cb0
--- /dev/null
+++ b/checkpoint-1500/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e0c8384eabfb7f566b162a5d77a48ac4ae7eec9151d1e10851392e4883d149bd
+size 249556672
diff --git a/checkpoint-1500/rng_state.pth b/checkpoint-1500/rng_state.pth
new file mode 100644
index 0000000..9375025
--- /dev/null
+++ b/checkpoint-1500/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aebe521a7b33bbee40c784bd32e4cf269fdec0ea16dae8ee65a9555b0fe7a108
+size 14645
diff --git a/checkpoint-1500/special_tokens_map.json b/checkpoint-1500/special_tokens_map.json
new file mode 100644
index 0000000..c78a835
--- /dev/null
+++ b/checkpoint-1500/special_tokens_map.json
@@ -0,0 +1,1249 @@
+{
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/checkpoint-1500/spiece.model b/checkpoint-1500/spiece.model
new file mode 100644
index 0000000..85d6e93
--- /dev/null
+++ b/checkpoint-1500/spiece.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:762a1e078899c6ba7ef62ef873a57b860c51cc0518791854659b58b4c89742fe
+size 1170764
diff --git a/checkpoint-1500/tokenizer_config.json b/checkpoint-1500/tokenizer_config.json
new file mode 100644
index 0000000..b27d01f
--- /dev/null
+++ b/checkpoint-1500/tokenizer_config.json
@@ -0,0 +1,10825 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50000": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50001": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50002": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50003": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50004": {
+      "content": "[XXXXX160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50005": {
+      "content": "[XXXXX240]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50006": {
+      "content": "[XXXXX717]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50007": {
+      "content": "[XXXXX23]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50008": {
+      "content": "[XXXXX161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50009": {
+      "content": "[XXXXX1156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50010": {
+      "content": "[XXXXX5]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50011": {
+      "content": "[XXXXX597]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50012": {
+      "content": "[XXXXX415]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50013": {
+      "content": "[XXXXX693]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50014": {
+      "content": "[XXXXX1083]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50015": {
+      "content": "[XXXXX784]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50016": {
+      "content": "[XXXXX686]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50017": {
+      "content": "[XXXXX379]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50018": {
+      "content": "[XXXXX335]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50019": {
+      "content": "[XXXXX73]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50020": {
+      "content": "[XXXXX758]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50021": {
+      "content": "[XXXXX805]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50022": {
+      "content": "[XXXXX840]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50023": {
+      "content": "[XXXXX1037]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50024": {
+      "content": "[XXXXX235]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50025": {
+      "content": "[XXXXX1107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50026": {
+      "content": "[XXXXX776]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50027": {
+      "content": "[XXXXX286]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50028": {
+      "content": "[XXXXX396]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50029": {
+      "content": "[XXXXX478]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50030": {
+      "content": "[XXXXX669]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50031": {
+      "content": "[XXXXX691]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50032": {
+      "content": "[XXXXX826]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50033": {
+      "content": "[XXXXX1150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50034": {
+      "content": "[XXXXX853]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50035": {
+      "content": "[XXXXX130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50036": {
+      "content": "[XXXXX989]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50037": {
+      "content": "[XXXXX249]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50038": {
+      "content": "[XXXXX902]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50039": {
+      "content": "[XXXXX1169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50040": {
+      "content": "[XXXXX260]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50041": {
+      "content": "[XXXXX706]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50042": {
+      "content": "[XXXXX146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50043": {
+      "content": "[XXXXX198]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50044": {
+      "content": "[XXXXX303]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50045": {
+      "content": "[XXXXX1192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50046": {
+      "content": "[XXXXX635]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50047": {
+      "content": "[XXXXX271]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50048": {
+      "content": "[XXXXX1023]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50049": {
+      "content": "[XXXXX602]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50050": {
+      "content": "[XXXXX291]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50051": {
+      "content": "[XXXXX190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50052": {
+      "content": "[XXXXX1055]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50053": {
+      "content": "[XXXXX70]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50054": {
+      "content": "[XXXXX178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50055": {
+      "content": "[XXXXX318]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50056": {
+      "content": "[XXXXX62]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50057": {
+      "content": "[XXXXX473]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50058": {
+      "content": "[XXXXX517]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50059": {
+      "content": "[XXXXX924]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50060": {
+      "content": "[XXXXX970]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50061": {
+      "content": "[XXXXX1033]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50062": {
+      "content": "[XXXXX110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50063": {
+      "content": "[XXXXX1151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50064": {
+      "content": "[XXXXX1189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50065": {
+      "content": "[XXXXX1095]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50066": {
+      "content": "[XXXXX148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50067": {
+      "content": "[XXXXX337]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50068": {
+      "content": "[XXXXX245]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50069": {
+      "content": "[XXXXX407]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50070": {
+      "content": "[XXXXX557]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50071": {
+      "content": "[XXXXX576]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50072": {
+      "content": "[XXXXX914]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50073": {
+      "content": "[XXXXX963]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50074": {
+      "content": "[XXXXX951]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50075": {
+      "content": "[XXXXX721]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50076": {
+      "content": "[XXXXX1174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50077": {
+      "content": "[XXXXX3]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50078": {
+      "content": "[XXXXX792]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50079": {
+      "content": "[XXXXX843]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50080": {
+      "content": "[XXXXX590]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50081": {
+      "content": "[XXXXX118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50082": {
+      "content": "[XXXXX280]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50083": {
+      "content": "[XXXXX1119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50084": {
+      "content": "[XXXXX1025]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50085": {
+      "content": "[XXXXX140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50086": {
+      "content": "[XXXXX873]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50087": {
+      "content": "[XXXXX103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50088": {
+      "content": "[XXXXX307]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50089": {
+      "content": "[XXXXX946]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50090": {
+      "content": "[XXXXX782]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50091": {
+      "content": "[XXXXX100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50092": {
+      "content": "[XXXXX485]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50093": {
+      "content": "[XXXXX151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50094": {
+      "content": "[XXXXX213]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50095": {
+      "content": "[XXXXX847]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50096": {
+      "content": "[XXXXX880]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50097": {
+      "content": "[XXXXX44]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50098": {
+      "content": "[XXXXX1031]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50099": {
+      "content": "[XXXXX545]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50100": {
+      "content": "[XXXXX78]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50101": {
+      "content": "[XXXXX687]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50102": {
+      "content": "[XXXXX925]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50103": {
+      "content": "[XXXXX519]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50104": {
+      "content": "[XXXXX1191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50105": {
+      "content": "[XXXXX13]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50106": {
+      "content": "[XXXXX487]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50107": {
+      "content": "[XXXXX932]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50108": {
+      "content": "[XXXXX119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50109": {
+      "content": "[XXXXX170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50110": {
+      "content": "[XXXXX254]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50111": {
+      "content": "[XXXXX420]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50112": {
+      "content": "[XXXXX962]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50113": {
+      "content": "[XXXXX441]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50114": {
+      "content": "[XXXXX950]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50115": {
+      "content": "[XXXXX18]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50116": {
+      "content": "[XXXXX676]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50117": {
+      "content": "[XXXXX1133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50118": {
+      "content": "[XXXXX618]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50119": {
+      "content": "[XXXXX374]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50120": {
+      "content": "[XXXXX815]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50121": {
+      "content": "[XXXXX1058]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50122": {
+      "content": "[XXXXX1108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50123": {
+      "content": "[XXXXX1144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50124": {
+      "content": "[XXXXX791]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50125": {
+      "content": "[XXXXX259]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50126": {
+      "content": "[XXXXX1074]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50127": {
+      "content": "[XXXXX696]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50128": {
+      "content": "[XXXXX1168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50129": {
+      "content": "[XXXXX592]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50130": {
+      "content": "[XXXXX127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50131": {
+      "content": "[XXXXX136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50132": {
+      "content": "[XXXXX237]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50133": {
+      "content": "[XXXXX705]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50134": {
+      "content": "[XXXXX983]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50135": {
+      "content": "[XXXXX816]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50136": {
+      "content": "[XXXXX412]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50137": {
+      "content": "[XXXXX410]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50138": {
+      "content": "[XXXXX795]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50139": {
+      "content": "[XXXXX101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50140": {
+      "content": "[XXXXX171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50141": {
+      "content": "[XXXXX628]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50142": {
+      "content": "[XXXXX1038]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50143": {
+      "content": "[XXXXX447]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50144": {
+      "content": "[XXXXX1043]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50145": {
+      "content": "[XXXXX147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50146": {
+      "content": "[XXXXX1112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50147": {
+      "content": "[XXXXX186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50148": {
+      "content": "[XXXXX461]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50149": {
+      "content": "[XXXXX423]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50150": {
+      "content": "[XXXXX26]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50151": {
+      "content": "[XXXXX227]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50152": {
+      "content": "[XXXXX746]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50153": {
+      "content": "[XXXXX818]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50154": {
+      "content": "[XXXXX725]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50155": {
+      "content": "[XXXXX400]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50156": {
+      "content": "[XXXXX827]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50157": {
+      "content": "[XXXXX1020]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50158": {
+      "content": "[XXXXX1060]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50159": {
+      "content": "[XXXXX195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50160": {
+      "content": "[XXXXX526]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50161": {
+      "content": "[XXXXX570]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50162": {
+      "content": "[XXXXX174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50163": {
+      "content": "[XXXXX333]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50164": {
+      "content": "[XXXXX466]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50165": {
+      "content": "[XXXXX513]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50166": {
+      "content": "[XXXXX695]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50167": {
+      "content": "[XXXXX84]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50168": {
+      "content": "[XXXXX1080]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50169": {
+      "content": "[XXXXX76]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50170": {
+      "content": "[XXXXX742]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50171": {
+      "content": "[XXXXX1008]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50172": {
+      "content": "[XXXXX1123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50173": {
+      "content": "[XXXXX1145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50174": {
+      "content": "[XXXXX701]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50175": {
+      "content": "[XXXXX562]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50176": {
+      "content": "[XXXXX615]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50177": {
+      "content": "[XXXXX389]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50178": {
+      "content": "[XXXXX267]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50179": {
+      "content": "[XXXXX323]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50180": {
+      "content": "[XXXXX346]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50181": {
+      "content": "[XXXXX287]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50182": {
+      "content": "[XXXXX469]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50183": {
+      "content": "[XXXXX58]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50184": {
+      "content": "[XXXXX431]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50185": {
+      "content": "[XXXXX926]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50186": {
+      "content": "[XXXXX1182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50187": {
+      "content": "[XXXXX992]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50188": {
+      "content": "[XXXXX185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50189": {
+      "content": "[XXXXX352]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50190": {
+      "content": "[XXXXX762]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50191": {
+      "content": "[XXXXX991]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50192": {
+      "content": "[XXXXX85]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50193": {
+      "content": "[XXXXX836]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50194": {
+      "content": "[XXXXX460]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50195": {
+      "content": "[XXXXX272]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50196": {
+      "content": "[XXXXX619]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50197": {
+      "content": "[XXXXX759]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50198": {
+      "content": "[XXXXX94]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50199": {
+      "content": "[XXXXX807]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50200": {
+      "content": "[XXXXX299]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50201": {
+      "content": "[XXXXX187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50202": {
+      "content": "[XXXXX486]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50203": {
+      "content": "[XXXXX45]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50204": {
+      "content": "[XXXXX1036]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50205": {
+      "content": "[XXXXX354]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50206": {
+      "content": "[XXXXX386]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50207": {
+      "content": "[XXXXX714]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50208": {
+      "content": "[XXXXX769]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50209": {
+      "content": "[XXXXX304]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50210": {
+      "content": "[XXXXX92]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50211": {
+      "content": "[XXXXX7]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50212": {
+      "content": "[XXXXX31]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50213": {
+      "content": "[XXXXX102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50214": {
+      "content": "[XXXXX163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50215": {
+      "content": "[XXXXX723]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50216": {
+      "content": "[XXXXX1042]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50217": {
+      "content": "[XXXXX452]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50218": {
+      "content": "[XXXXX622]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50219": {
+      "content": "[XXXXX1056]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50220": {
+      "content": "[XXXXX822]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50221": {
+      "content": "[XXXXX125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50222": {
+      "content": "[XXXXX617]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50223": {
+      "content": "[XXXXX34]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50224": {
+      "content": "[XXXXX712]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50225": {
+      "content": "[XXXXX780]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50226": {
+      "content": "[XXXXX547]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50227": {
+      "content": "[XXXXX857]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50228": {
+      "content": "[XXXXX860]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50229": {
+      "content": "[XXXXX897]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50230": {
+      "content": "[XXXXX663]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50231": {
+      "content": "[XXXXX736]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50232": {
+      "content": "[XXXXX202]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50233": {
+      "content": "[XXXXX1029]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50234": {
+      "content": "[XXXXX956]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50235": {
+      "content": "[XXXXX397]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50236": {
+      "content": "[XXXXX239]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50237": {
+      "content": "[XXXXX472]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50238": {
+      "content": "[XXXXX230]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50239": {
+      "content": "[XXXXX796]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50240": {
+      "content": "[XXXXX639]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50241": {
+      "content": "[XXXXX203]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50242": {
+      "content": "[XXXXX231]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50243": {
+      "content": "[XXXXX652]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50244": {
+      "content": "[XXXXX981]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50245": {
+      "content": "[XXXXX911]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50246": {
+      "content": "[XXXXX380]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50247": {
+      "content": "[XXXXX477]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50248": {
+      "content": "[XXXXX952]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50249": {
+      "content": "[XXXXX28]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50250": {
+      "content": "[XXXXX801]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50251": {
+      "content": "[XXXXX1134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50252": {
+      "content": "[XXXXX1176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50253": {
+      "content": "[XXXXX180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50254": {
+      "content": "[XXXXX598]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50255": {
+      "content": "[XXXXX365]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50256": {
+      "content": "[XXXXX729]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50257": {
+      "content": "[XXXXX214]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50258": {
+      "content": "[XXXXX1117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50259": {
+      "content": "[XXXXX278]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50260": {
+      "content": "[XXXXX522]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50261": {
+      "content": "[XXXXX683]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50262": {
+      "content": "[XXXXX731]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50263": {
+      "content": "[XXXXX312]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "[XXXXX1178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50265": {
+      "content": "[XXXXX666]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50266": {
+      "content": "[XXXXX982]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50267": {
+      "content": "[XXXXX414]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50268": {
+      "content": "[XXXXX935]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50269": {
+      "content": "[XXXXX1089]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50270": {
+      "content": "[XXXXX236]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50271": {
+      "content": "[XXXXX463]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50272": {
+      "content": "[XXXXX52]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50273": {
+      "content": "[XXXXX593]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50274": {
+      "content": "[XXXXX508]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50275": {
+      "content": "[XXXXX1125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50276": {
+      "content": "[XXXXX462]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50277": {
+      "content": "[XXXXX32]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50278": {
+      "content": "[XXXXX596]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50279": {
+      "content": "[XXXXX948]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50280": {
+      "content": "[XXXXX150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50281": {
+      "content": "[XXXXX322]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50282": {
+      "content": "[XXXXX390]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50283": {
+      "content": "[XXXXX918]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50284": {
+      "content": "[XXXXX157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50285": {
+      "content": "[XXXXX310]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50286": {
+      "content": "[XXXXX392]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50287": {
+      "content": "[XXXXX649]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50288": {
+      "content": "[XXXXX158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50289": {
+      "content": "[XXXXX430]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50290": {
+      "content": "[XXXXX384]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50291": {
+      "content": "[XXXXX760]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50292": {
+      "content": "[XXXXX700]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50293": {
+      "content": "[XXXXX817]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50294": {
+      "content": "[XXXXX115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50295": {
+      "content": "[XXXXX885]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50296": {
+      "content": "[XXXXX940]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50297": {
+      "content": "[XXXXX997]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50298": {
+      "content": "[XXXXX61]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50299": {
+      "content": "[XXXXX209]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50300": {
+      "content": "[XXXXX316]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50301": {
+      "content": "[XXXXX537]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50302": {
+      "content": "[XXXXX599]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50303": {
+      "content": "[XXXXX680]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50304": {
+      "content": "[XXXXX135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50305": {
+      "content": "[XXXXX39]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50306": {
+      "content": "[XXXXX685]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50307": {
+      "content": "[XXXXX806]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50308": {
+      "content": "[XXXXX870]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50309": {
+      "content": "[XXXXX1096]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50310": {
+      "content": "[XXXXX366]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50311": {
+      "content": "[XXXXX509]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50312": {
+      "content": "[XXXXX943]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50313": {
+      "content": "[XXXXX292]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50314": {
+      "content": "[XXXXX367]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50315": {
+      "content": "[XXXXX632]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50316": {
+      "content": "[XXXXX1136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50317": {
+      "content": "[XXXXX156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50318": {
+      "content": "[XXXXX1100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50319": {
+      "content": "[XXXXX432]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50320": {
+      "content": "[XXXXX514]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50321": {
+      "content": "[XXXXX903]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50322": {
+      "content": "[XXXXX939]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50323": {
+      "content": "[XXXXX986]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50324": {
+      "content": "[XXXXX506]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50325": {
+      "content": "[XXXXX10]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50326": {
+      "content": "[XXXXX573]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50327": {
+      "content": "[XXXXX968]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50328": {
+      "content": "[XXXXX1039]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50329": {
+      "content": "[XXXXX252]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50330": {
+      "content": "[XXXXX612]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50331": {
+      "content": "[XXXXX947]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50332": {
+      "content": "[XXXXX1162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50333": {
+      "content": "[XXXXX733]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50334": {
+      "content": "[XXXXX976]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50335": {
+      "content": "[XXXXX535]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50336": {
+      "content": "[XXXXX710]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50337": {
+      "content": "[XXXXX40]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50338": {
+      "content": "[XXXXX984]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50339": {
+      "content": "[XXXXX584]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50340": {
+      "content": "[XXXXX132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50341": {
+      "content": "[XXXXX1084]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50342": {
+      "content": "[XXXXX549]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50343": {
+      "content": "[XXXXX810]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50344": {
+      "content": "[XXXXX208]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50345": {
+      "content": "[XXXXX609]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50346": {
+      "content": "[XXXXX275]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50347": {
+      "content": "[XXXXX262]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50348": {
+      "content": "[XXXXX331]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50349": {
+      "content": "[XXXXX361]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50350": {
+      "content": "[XXXXX561]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50351": {
+      "content": "[XXXXX143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50352": {
+      "content": "[XXXXX1061]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50353": {
+      "content": "[XXXXX59]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50354": {
+      "content": "[XXXXX21]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50355": {
+      "content": "[XXXXX995]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50356": {
+      "content": "[XXXXX439]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50357": {
+      "content": "[XXXXX831]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50358": {
+      "content": "[XXXXX745]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50359": {
+      "content": "[XXXXX43]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50360": {
+      "content": "[XXXXX498]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50361": {
+      "content": "[XXXXX575]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50362": {
+      "content": "[XXXXX624]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50363": {
+      "content": "[XXXXX72]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50364": {
+      "content": "[XXXXX921]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50365": {
+      "content": "[XXXXX201]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50366": {
+      "content": "[XXXXX1171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50367": {
+      "content": "[XXXXX912]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50368": {
+      "content": "[XXXXX775]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50369": {
+      "content": "[XXXXX1094]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50370": {
+      "content": "[XXXXX80]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50371": {
+      "content": "[XXXXX894]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50372": {
+      "content": "[XXXXX876]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50373": {
+      "content": "[XXXXX1143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50374": {
+      "content": "[XXXXX355]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50375": {
+      "content": "[XXXXX450]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50376": {
+      "content": "[XXXXX642]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50377": {
+      "content": "[XXXXX162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50378": {
+      "content": "[XXXXX394]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50379": {
+      "content": "[XXXXX296]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50380": {
+      "content": "[XXXXX536]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50381": {
+      "content": "[XXXXX560]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50382": {
+      "content": "[XXXXX373]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50383": {
+      "content": "[XXXXX674]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50384": {
+      "content": "[XXXXX1099]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50385": {
+      "content": "[XXXXX797]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50386": {
+      "content": "[XXXXX516]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50387": {
+      "content": "[XXXXX41]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50388": {
+      "content": "[XXXXX594]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50389": {
+      "content": "[XXXXX319]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50390": {
+      "content": "[XXXXX165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50391": {
+      "content": "[XXXXX344]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50392": {
+      "content": "[XXXXX1012]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50393": {
+      "content": "[XXXXX942]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50394": {
+      "content": "[XXXXX1071]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50395": {
+      "content": "[XXXXX648]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50396": {
+      "content": "[XXXXX4]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50397": {
+      "content": "[XXXXX633]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50398": {
+      "content": "[XXXXX551]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50399": {
+      "content": "[XXXXX586]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50400": {
+      "content": "[XXXXX578]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50401": {
+      "content": "[XXXXX348]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50402": {
+      "content": "[XXXXX614]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50403": {
+      "content": "[XXXXX33]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50404": {
+      "content": "[XXXXX1193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50405": {
+      "content": "[XXXXX737]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50406": {
+      "content": "[XXXXX233]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50407": {
+      "content": "[XXXXX933]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50408": {
+      "content": "[XXXXX781]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50409": {
+      "content": "[XXXXX189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50410": {
+      "content": "[XXXXX1006]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50411": {
+      "content": "[XXXXX219]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50412": {
+      "content": "[XXXXX454]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50413": {
+      "content": "[XXXXX449]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50414": {
+      "content": "[XXXXX697]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50415": {
+      "content": "[XXXXX724]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50416": {
+      "content": "[XXXXX224]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50417": {
+      "content": "[XXXXX1157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50418": {
+      "content": "[XXXXX455]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50419": {
+      "content": "[XXXXX505]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50420": {
+      "content": "[XXXXX96]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50421": {
+      "content": "[XXXXX182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50422": {
+      "content": "[XXXXX424]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50423": {
+      "content": "[XXXXX872]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50424": {
+      "content": "[XXXXX1163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50425": {
+      "content": "[XXXXX1081]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50426": {
+      "content": "[XXXXX1173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50427": {
+      "content": "[XXXXX172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50428": {
+      "content": "[XXXXX507]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50429": {
+      "content": "[XXXXX920]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50430": {
+      "content": "[XXXXX1126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50431": {
+      "content": "[XXXXX474]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50432": {
+      "content": "[XXXXX971]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50433": {
+      "content": "[XXXXX1049]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50434": {
+      "content": "[XXXXX1114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50435": {
+      "content": "[XXXXX1040]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50436": {
+      "content": "[XXXXX79]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50437": {
+      "content": "[XXXXX36]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50438": {
+      "content": "[XXXXX977]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50439": {
+      "content": "[XXXXX1129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50440": {
+      "content": "[XXXXX1063]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50441": {
+      "content": "[XXXXX773]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50442": {
+      "content": "[XXXXX16]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50443": {
+      "content": "[XXXXX113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50444": {
+      "content": "[XXXXX320]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50445": {
+      "content": "[XXXXX167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50446": {
+      "content": "[XXXXX751]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50447": {
+      "content": "[XXXXX656]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50448": {
+      "content": "[XXXXX543]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50449": {
+      "content": "[XXXXX828]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50450": {
+      "content": "[XXXXX915]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50451": {
+      "content": "[XXXXX1098]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50452": {
+      "content": "[XXXXX569]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50453": {
+      "content": "[XXXXX1166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50454": {
+      "content": "[XXXXX846]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50455": {
+      "content": "[XXXXX324]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50456": {
+      "content": "[XXXXX802]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50457": {
+      "content": "[XXXXX588]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50458": {
+      "content": "[XXXXX739]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50459": {
+      "content": "[XXXXX50]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50460": {
+      "content": "[XXXXX882]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50461": {
+      "content": "[XXXXX1054]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50462": {
+      "content": "[XXXXX621]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50463": {
+      "content": "[XXXXX585]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50464": {
+      "content": "[XXXXX121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50465": {
+      "content": "[XXXXX647]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50466": {
+      "content": "[XXXXX767]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50467": {
+      "content": "[XXXXX645]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50468": {
+      "content": "[XXXXX27]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50469": {
+      "content": "[XXXXX907]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50470": {
+      "content": "[XXXXX1109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50471": {
+      "content": "[XXXXX1147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50472": {
+      "content": "[XXXXX501]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50473": {
+      "content": "[XXXXX1164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50474": {
+      "content": "[XXXXX650]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50475": {
+      "content": "[XXXXX329]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50476": {
+      "content": "[XXXXX659]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50477": {
+      "content": "[XXXXX1158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50478": {
+      "content": "[XXXXX104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50479": {
+      "content": "[XXXXX629]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50480": {
+      "content": "[XXXXX868]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50481": {
+      "content": "[XXXXX779]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50482": {
+      "content": "[XXXXX17]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50483": {
+      "content": "[XXXXX377]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50484": {
+      "content": "[XXXXX467]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50485": {
+      "content": "[XXXXX917]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50486": {
+      "content": "[XXXXX830]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50487": {
+      "content": "[XXXXX533]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50488": {
+      "content": "[XXXXX862]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50489": {
+      "content": "[XXXXX1041]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50490": {
+      "content": "[XXXXX542]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50491": {
+      "content": "[XXXXX595]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50492": {
+      "content": "[XXXXX353]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50493": {
+      "content": "[XXXXX181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50494": {
+      "content": "[XXXXX662]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50495": {
+      "content": "[XXXXX1195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50496": {
+      "content": "[XXXXX435]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50497": {
+      "content": "[XXXXX1051]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50498": {
+      "content": "[XXXXX703]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50499": {
+      "content": "[XXXXX1140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50500": {
+      "content": "[XXXXX750]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50501": {
+      "content": "[XXXXX57]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50502": {
+      "content": "[XXXXX75]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50503": {
+      "content": "[XXXXX293]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50504": {
+      "content": "[XXXXX681]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50505": {
+      "content": "[XXXXX46]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50506": {
+      "content": "[XXXXX30]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50507": {
+      "content": "[XXXXX402]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50508": {
+      "content": "[XXXXX803]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50509": {
+      "content": "[XXXXX821]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50510": {
+      "content": "[XXXXX871]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50511": {
+      "content": "[XXXXX980]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50512": {
+      "content": "[XXXXX990]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50513": {
+      "content": "[XXXXX626]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50514": {
+      "content": "[XXXXX90]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50515": {
+      "content": "[XXXXX77]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50516": {
+      "content": "[XXXXX819]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50517": {
+      "content": "[XXXXX436]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50518": {
+      "content": "[XXXXX306]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50519": {
+      "content": "[XXXXX434]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50520": {
+      "content": "[XXXXX88]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50521": {
+      "content": "[XXXXX184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50522": {
+      "content": "[XXXXX290]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50523": {
+      "content": "[XXXXX216]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50524": {
+      "content": "[XXXXX176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50525": {
+      "content": "[XXXXX747]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50526": {
+      "content": "[XXXXX938]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50527": {
+      "content": "[XXXXX442]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50528": {
+      "content": "[XXXXX301]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50529": {
+      "content": "[XXXXX1015]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50530": {
+      "content": "[XXXXX520]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50531": {
+      "content": "[XXXXX829]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50532": {
+      "content": "[XXXXX106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50533": {
+      "content": "[XXXXX1048]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50534": {
+      "content": "[XXXXX923]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50535": {
+      "content": "[XXXXX958]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50536": {
+      "content": "[XXXXX1130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50537": {
+      "content": "[XXXXX89]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50538": {
+      "content": "[XXXXX548]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50539": {
+      "content": "[XXXXX863]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50540": {
+      "content": "[XXXXX444]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50541": {
+      "content": "[XXXXX1149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50542": {
+      "content": "[XXXXX866]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50543": {
+      "content": "[XXXXX109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50544": {
+      "content": "[XXXXX550]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50545": {
+      "content": "[XXXXX727]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50546": {
+      "content": "[XXXXX646]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50547": {
+      "content": "[XXXXX702]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50548": {
+      "content": "[XXXXX204]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50549": {
+      "content": "[XXXXX1000]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50550": {
+      "content": "[XXXXX591]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50551": {
+      "content": "[XXXXX1128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50552": {
+      "content": "[XXXXX937]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50553": {
+      "content": "[XXXXX141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50554": {
+      "content": "[XXXXX273]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50555": {
+      "content": "[XXXXX1183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50556": {
+      "content": "[XXXXX765]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50557": {
+      "content": "[XXXXX371]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50558": {
+      "content": "[XXXXX256]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50559": {
+      "content": "[XXXXX964]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50560": {
+      "content": "[XXXXX1148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50561": {
+      "content": "[XXXXX930]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50562": {
+      "content": "[XXXXX212]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50563": {
+      "content": "[XXXXX133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50564": {
+      "content": "[XXXXX608]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50565": {
+      "content": "[XXXXX281]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50566": {
+      "content": "[XXXXX1045]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50567": {
+      "content": "[XXXXX928]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50568": {
+      "content": "[XXXXX1154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50569": {
+      "content": "[XXXXX334]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50570": {
+      "content": "[XXXXX861]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50571": {
+      "content": "[XXXXX87]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50572": {
+      "content": "[XXXXX941]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50573": {
+      "content": "[XXXXX359]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50574": {
+      "content": "[XXXXX55]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50575": {
+      "content": "[XXXXX842]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50576": {
+      "content": "[XXXXX427]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50577": {
+      "content": "[XXXXX491]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50578": {
+      "content": "[XXXXX137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50579": {
+      "content": "[XXXXX47]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50580": {
+      "content": "[XXXXX511]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50581": {
+      "content": "[XXXXX81]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50582": {
+      "content": "[XXXXX139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50583": {
+      "content": "[XXXXX226]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50584": {
+      "content": "[XXXXX563]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50585": {
+      "content": "[XXXXX708]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50586": {
+      "content": "[XXXXX820]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50587": {
+      "content": "[XXXXX65]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50588": {
+      "content": "[XXXXX381]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50589": {
+      "content": "[XXXXX22]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50590": {
+      "content": "[XXXXX1064]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50591": {
+      "content": "[XXXXX874]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50592": {
+      "content": "[XXXXX944]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50593": {
+      "content": "[XXXXX6]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50594": {
+      "content": "[XXXXX313]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50595": {
+      "content": "[XXXXX471]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50596": {
+      "content": "[XXXXX1118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50597": {
+      "content": "[XXXXX849]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50598": {
+      "content": "[XXXXX483]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50599": {
+      "content": "[XXXXX713]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50600": {
+      "content": "[XXXXX222]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50601": {
+      "content": "[XXXXX640]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50602": {
+      "content": "[XXXXX12]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50603": {
+      "content": "[XXXXX285]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50604": {
+      "content": "[XXXXX327]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50605": {
+      "content": "[XXXXX378]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50606": {
+      "content": "[XXXXX790]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50607": {
+      "content": "[XXXXX1179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50608": {
+      "content": "[XXXXX15]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50609": {
+      "content": "[XXXXX229]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50610": {
+      "content": "[XXXXX771]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50611": {
+      "content": "[XXXXX559]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50612": {
+      "content": "[XXXXX253]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50613": {
+      "content": "[XXXXX644]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50614": {
+      "content": "[XXXXX811]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50615": {
+      "content": "[XXXXX554]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50616": {
+      "content": "[XXXXX744]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50617": {
+      "content": "[XXXXX786]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50618": {
+      "content": "[XXXXX913]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50619": {
+      "content": "[XXXXX966]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50620": {
+      "content": "[XXXXX972]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50621": {
+      "content": "[XXXXX664]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50622": {
+      "content": "[XXXXX1131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50623": {
+      "content": "[XXXXX1132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50624": {
+      "content": "[XXXXX376]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50625": {
+      "content": "[XXXXX672]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50626": {
+      "content": "[XXXXX1013]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50627": {
+      "content": "[XXXXX328]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50628": {
+      "content": "[XXXXX889]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50629": {
+      "content": "[XXXXX1141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50630": {
+      "content": "[XXXXX429]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50631": {
+      "content": "[XXXXX114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50632": {
+      "content": "[XXXXX523]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50633": {
+      "content": "[XXXXX833]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50634": {
+      "content": "[XXXXX927]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50635": {
+      "content": "[XXXXX297]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50636": {
+      "content": "[XXXXX812]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50637": {
+      "content": "[XXXXX1062]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50638": {
+      "content": "[XXXXX152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50639": {
+      "content": "[XXXXX1010]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50640": {
+      "content": "[XXXXX690]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50641": {
+      "content": "[XXXXX363]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50642": {
+      "content": "[XXXXX1103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50643": {
+      "content": "[XXXXX194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50644": {
+      "content": "[XXXXX844]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50645": {
+      "content": "[XXXXX667]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50646": {
+      "content": "[XXXXX720]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50647": {
+      "content": "[XXXXX770]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50648": {
+      "content": "[XXXXX515]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50649": {
+      "content": "[XXXXX196]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50650": {
+      "content": "[XXXXX283]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50651": {
+      "content": "[XXXXX95]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50652": {
+      "content": "[XXXXX528]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50653": {
+      "content": "[XXXXX749]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50654": {
+      "content": "[XXXXX934]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50655": {
+      "content": "[XXXXX1052]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50656": {
+      "content": "[XXXXX1188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50657": {
+      "content": "[XXXXX1001]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50658": {
+      "content": "[XXXXX785]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50659": {
+      "content": "[XXXXX393]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50660": {
+      "content": "[XXXXX502]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50661": {
+      "content": "[XXXXX404]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50662": {
+      "content": "[XXXXX129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50663": {
+      "content": "[XXXXX643]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50664": {
+      "content": "[XXXXX1086]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50665": {
+      "content": "[XXXXX1104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50666": {
+      "content": "[XXXXX326]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50667": {
+      "content": "[XXXXX330]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50668": {
+      "content": "[XXXXX620]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50669": {
+      "content": "[XXXXX193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50670": {
+      "content": "[XXXXX470]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50671": {
+      "content": "[XXXXX279]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50672": {
+      "content": "[XXXXX97]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50673": {
+      "content": "[XXXXX177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50674": {
+      "content": "[XXXXX510]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50675": {
+      "content": "[XXXXX225]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50676": {
+      "content": "[XXXXX572]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50677": {
+      "content": "[XXXXX777]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50678": {
+      "content": "[XXXXX1135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50679": {
+      "content": "[XXXXX1160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50680": {
+      "content": "[XXXXX558]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50681": {
+      "content": "[XXXXX416]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50682": {
+      "content": "[XXXXX246]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50683": {
+      "content": "[XXXXX799]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50684": {
+      "content": "[XXXXX153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50685": {
+      "content": "[XXXXX671]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50686": {
+      "content": "[XXXXX809]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50687": {
+      "content": "[XXXXX525]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50688": {
+      "content": "[XXXXX1004]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50689": {
+      "content": "[XXXXX1005]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50690": {
+      "content": "[XXXXX1194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50691": {
+      "content": "[XXXXX408]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50692": {
+      "content": "[XXXXX492]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50693": {
+      "content": "[XXXXX973]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50694": {
+      "content": "[XXXXX242]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50695": {
+      "content": "[XXXXX357]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50696": {
+      "content": "[XXXXX851]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50697": {
+      "content": "[XXXXX999]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50698": {
+      "content": "[XXXXX969]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50699": {
+      "content": "[XXXXX453]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50700": {
+      "content": "[XXXXX730]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50701": {
+      "content": "[XXXXX54]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50702": {
+      "content": "[XXXXX480]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50703": {
+      "content": "[XXXXX564]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50704": {
+      "content": "[XXXXX600]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50705": {
+      "content": "[XXXXX654]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50706": {
+      "content": "[XXXXX37]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50707": {
+      "content": "[XXXXX605]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50708": {
+      "content": "[XXXXX164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50709": {
+      "content": "[XXXXX395]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50710": {
+      "content": "[XXXXX401]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50711": {
+      "content": "[XXXXX446]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50712": {
+      "content": "[XXXXX658]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50713": {
+      "content": "[XXXXX60]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50714": {
+      "content": "[XXXXX107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50715": {
+      "content": "[XXXXX131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50716": {
+      "content": "[XXXXX387]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50717": {
+      "content": "[XXXXX67]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50718": {
+      "content": "[XXXXX743]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50719": {
+      "content": "[XXXXX657]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50720": {
+      "content": "[XXXXX418]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50721": {
+      "content": "[XXXXX787]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50722": {
+      "content": "[XXXXX838]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50723": {
+      "content": "[XXXXX298]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50724": {
+      "content": "[XXXXX1007]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50725": {
+      "content": "[XXXXX1027]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50726": {
+      "content": "[XXXXX1078]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50727": {
+      "content": "[XXXXX651]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50728": {
+      "content": "[XXXXX875]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50729": {
+      "content": "[XXXXX258]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50730": {
+      "content": "[XXXXX413]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50731": {
+      "content": "[XXXXX1092]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50732": {
+      "content": "[XXXXX124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50733": {
+      "content": "[XXXXX308]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50734": {
+      "content": "[XXXXX1085]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50735": {
+      "content": "[XXXXX1170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50736": {
+      "content": "[XXXXX38]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50737": {
+      "content": "[XXXXX438]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50738": {
+      "content": "[XXXXX475]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50739": {
+      "content": "[XXXXX900]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50740": {
+      "content": "[XXXXX263]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50741": {
+      "content": "[XXXXX166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50742": {
+      "content": "[XXXXX698]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50743": {
+      "content": "[XXXXX1127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50744": {
+      "content": "[XXXXX1181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50745": {
+      "content": "[XXXXX763]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50746": {
+      "content": "[XXXXX627]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50747": {
+      "content": "[XXXXX250]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50748": {
+      "content": "[XXXXX757]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50749": {
+      "content": "[XXXXX142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50750": {
+      "content": "[XXXXX794]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50751": {
+      "content": "[XXXXX128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50752": {
+      "content": "[XXXXX35]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50753": {
+      "content": "[XXXXX482]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50754": {
+      "content": "[XXXXX834]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50755": {
+      "content": "[XXXXX679]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50756": {
+      "content": "[XXXXX839]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50757": {
+      "content": "[XXXXX138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50758": {
+      "content": "[XXXXX1066]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50759": {
+      "content": "[XXXXX116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50760": {
+      "content": "[XXXXX317]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50761": {
+      "content": "[XXXXX490]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50762": {
+      "content": "[XXXXX443]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50763": {
+      "content": "[XXXXX879]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50764": {
+      "content": "[XXXXX1101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50765": {
+      "content": "[XXXXX711]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50766": {
+      "content": "[XXXXX123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50767": {
+      "content": "[XXXXX1152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50768": {
+      "content": "[XXXXX692]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50769": {
+      "content": "[XXXXX555]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50770": {
+      "content": "[XXXXX266]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50771": {
+      "content": "[XXXXX0]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50772": {
+      "content": "[XXXXX332]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50773": {
+      "content": "[XXXXX497]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50774": {
+      "content": "[XXXXX904]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50775": {
+      "content": "[XXXXX1019]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50776": {
+      "content": "[XXXXX709]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50777": {
+      "content": "[XXXXX351]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50778": {
+      "content": "[XXXXX764]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50779": {
+      "content": "[XXXXX625]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50780": {
+      "content": "[XXXXX798]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50781": {
+      "content": "[XXXXX205]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50782": {
+      "content": "[XXXXX922]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50783": {
+      "content": "[XXXXX1075]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50784": {
+      "content": "[XXXXX8]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50785": {
+      "content": "[XXXXX422]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50786": {
+      "content": "[XXXXX638]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50787": {
+      "content": "[XXXXX98]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50788": {
+      "content": "[XXXXX814]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50789": {
+      "content": "[XXXXX1057]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50790": {
+      "content": "[XXXXX1070]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50791": {
+      "content": "[XXXXX411]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50792": {
+      "content": "[XXXXX768]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50793": {
+      "content": "[XXXXX1165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50794": {
+      "content": "[XXXXX888]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50795": {
+      "content": "[XXXXX636]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50796": {
+      "content": "[XXXXX1047]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50797": {
+      "content": "[XXXXX960]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50798": {
+      "content": "[XXXXX910]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50799": {
+      "content": "[XXXXX42]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50800": {
+      "content": "[XXXXX238]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50801": {
+      "content": "[XXXXX383]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50802": {
+      "content": "[XXXXX1032]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50803": {
+      "content": "[XXXXX577]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50804": {
+      "content": "[XXXXX268]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50805": {
+      "content": "[XXXXX179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50806": {
+      "content": "[XXXXX1076]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50807": {
+      "content": "[XXXXX1167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50808": {
+      "content": "[XXXXX1172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50809": {
+      "content": "[XXXXX665]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50810": {
+      "content": "[XXXXX126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50811": {
+      "content": "[XXXXX347]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50812": {
+      "content": "[XXXXX544]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50813": {
+      "content": "[XXXXX1026]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50814": {
+      "content": "[XXXXX159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50815": {
+      "content": "[XXXXX503]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50816": {
+      "content": "[XXXXX583]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50817": {
+      "content": "[XXXXX668]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50818": {
+      "content": "[XXXXX1115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50819": {
+      "content": "[XXXXX112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50820": {
+      "content": "[XXXXX154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50821": {
+      "content": "[XXXXX761]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50822": {
+      "content": "[XXXXX540]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50823": {
+      "content": "[XXXXX755]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50824": {
+      "content": "[XXXXX255]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50825": {
+      "content": "[XXXXX459]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50826": {
+      "content": "[XXXXX1090]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50827": {
+      "content": "[XXXXX689]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50828": {
+      "content": "[XXXXX589]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50829": {
+      "content": "[XXXXX122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50830": {
+      "content": "[XXXXX789]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50831": {
+      "content": "[XXXXX481]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50832": {
+      "content": "[XXXXX1044]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50833": {
+      "content": "[XXXXX274]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50834": {
+      "content": "[XXXXX957]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50835": {
+      "content": "[XXXXX1121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50836": {
+      "content": "[XXXXX464]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50837": {
+      "content": "[XXXXX495]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50838": {
+      "content": "[XXXXX1097]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50839": {
+      "content": "[XXXXX581]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50840": {
+      "content": "[XXXXX200]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50841": {
+      "content": "[XXXXX954]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50842": {
+      "content": "[XXXXX48]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50843": {
+      "content": "[XXXXX855]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50844": {
+      "content": "[XXXXX419]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50845": {
+      "content": "[XXXXX919]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50846": {
+      "content": "[XXXXX451]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50847": {
+      "content": "[XXXXX869]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50848": {
+      "content": "[XXXXX1082]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50849": {
+      "content": "[XXXXX1185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50850": {
+      "content": "[XXXXX859]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50851": {
+      "content": "[XXXXX1139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50852": {
+      "content": "[XXXXX1072]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50853": {
+      "content": "[XXXXX220]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50854": {
+      "content": "[XXXXX465]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50855": {
+      "content": "[XXXXX1105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50856": {
+      "content": "[XXXXX1093]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50857": {
+      "content": "[XXXXX953]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50858": {
+      "content": "[XXXXX1187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50859": {
+      "content": "[XXXXX311]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50860": {
+      "content": "[XXXXX403]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50861": {
+      "content": "[XXXXX684]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50862": {
+      "content": "[XXXXX426]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50863": {
+      "content": "[XXXXX68]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50864": {
+      "content": "[XXXXX277]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50865": {
+      "content": "[XXXXX437]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50866": {
+      "content": "[XXXXX896]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50867": {
+      "content": "[XXXXX899]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50868": {
+      "content": "[XXXXX878]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50869": {
+      "content": "[XXXXX1073]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50870": {
+      "content": "[XXXXX774]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50871": {
+      "content": "[XXXXX315]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50872": {
+      "content": "[XXXXX631]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50873": {
+      "content": "[XXXXX223]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50874": {
+      "content": "[XXXXX86]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50875": {
+      "content": "[XXXXX607]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50876": {
+      "content": "[XXXXX149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50877": {
+      "content": "[XXXXX566]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50878": {
+      "content": "[XXXXX740]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50879": {
+      "content": "[XXXXX265]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50880": {
+      "content": "[XXXXX399]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50881": {
+      "content": "[XXXXX1053]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50882": {
+      "content": "[XXXXX1077]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50883": {
+      "content": "[XXXXX336]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50884": {
+      "content": "[XXXXX734]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50885": {
+      "content": "[XXXXX289]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50886": {
+      "content": "[XXXXX221]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50887": {
+      "content": "[XXXXX580]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50888": {
+      "content": "[XXXXX406]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50889": {
+      "content": "[XXXXX854]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50890": {
+      "content": "[XXXXX673]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50891": {
+      "content": "[XXXXX1146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50892": {
+      "content": "[XXXXX29]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50893": {
+      "content": "[XXXXX496]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50894": {
+      "content": "[XXXXX241]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50895": {
+      "content": "[XXXXX929]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50896": {
+      "content": "[XXXXX169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50897": {
+      "content": "[XXXXX1153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50898": {
+      "content": "[XXXXX440]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50899": {
+      "content": "[XXXXX385]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50900": {
+      "content": "[XXXXX499]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50901": {
+      "content": "[XXXXX718]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50902": {
+      "content": "[XXXXX848]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50903": {
+      "content": "[XXXXX877]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50904": {
+      "content": "[XXXXX641]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50905": {
+      "content": "[XXXXX1137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50906": {
+      "content": "[XXXXX269]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50907": {
+      "content": "[XXXXX521]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50908": {
+      "content": "[XXXXX234]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50909": {
+      "content": "[XXXXX987]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50910": {
+      "content": "[XXXXX741]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50911": {
+      "content": "[XXXXX349]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50912": {
+      "content": "[XXXXX93]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50913": {
+      "content": "[XXXXX247]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50914": {
+      "content": "[XXXXX961]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50915": {
+      "content": "[XXXXX1120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50916": {
+      "content": "[XXXXX369]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50917": {
+      "content": "[XXXXX479]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50918": {
+      "content": "[XXXXX892]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50919": {
+      "content": "[XXXXX553]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50920": {
+      "content": "[XXXXX906]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50921": {
+      "content": "[XXXXX571]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50922": {
+      "content": "[XXXXX1046]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50923": {
+      "content": "[XXXXX206]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50924": {
+      "content": "[XXXXX488]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50925": {
+      "content": "[XXXXX445]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50926": {
+      "content": "[XXXXX524]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50927": {
+      "content": "[XXXXX228]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50928": {
+      "content": "[XXXXX998]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50929": {
+      "content": "[XXXXX675]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50930": {
+      "content": "[XXXXX732]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50931": {
+      "content": "[XXXXX1028]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50932": {
+      "content": "[XXXXX494]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50933": {
+      "content": "[XXXXX965]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50934": {
+      "content": "[XXXXX1021]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50935": {
+      "content": "[XXXXX726]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50936": {
+      "content": "[XXXXX168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50937": {
+      "content": "[XXXXX606]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50938": {
+      "content": "[XXXXX974]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50939": {
+      "content": "[XXXXX504]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50940": {
+      "content": "[XXXXX556]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50941": {
+      "content": "[XXXXX1159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50942": {
+      "content": "[XXXXX417]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50943": {
+      "content": "[XXXXX1175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50944": {
+      "content": "[XXXXX1142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50945": {
+      "content": "[XXXXX753]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50946": {
+      "content": "[XXXXX824]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50947": {
+      "content": "[XXXXX251]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50948": {
+      "content": "[XXXXX345]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50949": {
+      "content": "[XXXXX610]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50950": {
+      "content": "[XXXXX276]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50951": {
+      "content": "[XXXXX783]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50952": {
+      "content": "[XXXXX74]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50953": {
+      "content": "[XXXXX1050]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50954": {
+      "content": "[XXXXX71]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50955": {
+      "content": "[XXXXX360]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50956": {
+      "content": "[XXXXX512]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50957": {
+      "content": "[XXXXX341]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50958": {
+      "content": "[XXXXX375]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50959": {
+      "content": "[XXXXX637]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50960": {
+      "content": "[XXXXX1116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50961": {
+      "content": "[XXXXX9]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50962": {
+      "content": "[XXXXX738]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50963": {
+      "content": "[XXXXX856]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50964": {
+      "content": "[XXXXX979]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50965": {
+      "content": "[XXXXX825]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50966": {
+      "content": "[XXXXX852]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50967": {
+      "content": "[XXXXX215]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50968": {
+      "content": "[XXXXX91]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50969": {
+      "content": "[XXXXX257]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50970": {
+      "content": "[XXXXX325]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50971": {
+      "content": "[XXXXX368]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50972": {
+      "content": "[XXXXX1124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50973": {
+      "content": "[XXXXX188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50974": {
+      "content": "[XXXXX905]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50975": {
+      "content": "[XXXXX284]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50976": {
+      "content": "[XXXXX11]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50977": {
+      "content": "[XXXXX83]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50978": {
+      "content": "[XXXXX611]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50979": {
+      "content": "[XXXXX51]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50980": {
+      "content": "[XXXXX99]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50981": {
+      "content": "[XXXXX288]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50982": {
+      "content": "[XXXXX945]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50983": {
+      "content": "[XXXXX975]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50984": {
+      "content": "[XXXXX282]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50985": {
+      "content": "[XXXXX1068]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50986": {
+      "content": "[XXXXX1180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50987": {
+      "content": "[XXXXX574]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50988": {
+      "content": "[XXXXX305]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50989": {
+      "content": "[XXXXX565]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50990": {
+      "content": "[XXXXX865]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50991": {
+      "content": "[XXXXX1014]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50992": {
+      "content": "[XXXXX1138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50993": {
+      "content": "[XXXXX134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50994": {
+      "content": "[XXXXX321]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50995": {
+      "content": "[XXXXX752]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50996": {
+      "content": "[XXXXX108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50997": {
+      "content": "[XXXXX339]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50998": {
+      "content": "[XXXXX893]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50999": {
+      "content": "[XXXXX1177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51000": {
+      "content": "[XXXXX988]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51001": {
+      "content": "[XXXXX719]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51002": {
+      "content": "[XXXXX1059]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51003": {
+      "content": "[XXXXX421]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51004": {
+      "content": "[XXXXX670]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51005": {
+      "content": "[XXXXX949]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51006": {
+      "content": "[XXXXX14]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51007": {
+      "content": "[XXXXX1087]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51008": {
+      "content": "[XXXXX382]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51009": {
+      "content": "[XXXXX531]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51010": {
+      "content": "[XXXXX1079]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51011": {
+      "content": "[XXXXX1067]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51012": {
+      "content": "[XXXXX655]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51013": {
+      "content": "[XXXXX340]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51014": {
+      "content": "[XXXXX398]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51015": {
+      "content": "[XXXXX175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51016": {
+      "content": "[XXXXX232]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51017": {
+      "content": "[XXXXX244]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51018": {
+      "content": "[XXXXX568]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51019": {
+      "content": "[XXXXX1110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51020": {
+      "content": "[XXXXX191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51021": {
+      "content": "[XXXXX931]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51022": {
+      "content": "[XXXXX832]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51023": {
+      "content": "[XXXXX1030]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51024": {
+      "content": "[XXXXX144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51025": {
+      "content": "[XXXXX1102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51026": {
+      "content": "[XXXXX300]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51027": {
+      "content": "[XXXXX996]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51028": {
+      "content": "[XXXXX248]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51029": {
+      "content": "[XXXXX66]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51030": {
+      "content": "[XXXXX735]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51031": {
+      "content": "[XXXXX20]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51032": {
+      "content": "[XXXXX694]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51033": {
+      "content": "[XXXXX845]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51034": {
+      "content": "[XXXXX500]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51035": {
+      "content": "[XXXXX613]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51036": {
+      "content": "[XXXXX117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51037": {
+      "content": "[XXXXX886]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51038": {
+      "content": "[XXXXX261]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51039": {
+      "content": "[XXXXX567]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51040": {
+      "content": "[XXXXX541]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51041": {
+      "content": "[XXXXX529]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51042": {
+      "content": "[XXXXX699]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51043": {
+      "content": "[XXXXX715]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51044": {
+      "content": "[XXXXX1003]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51045": {
+      "content": "[XXXXX518]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51046": {
+      "content": "[XXXXX891]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51047": {
+      "content": "[XXXXX192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51048": {
+      "content": "[XXXXX53]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51049": {
+      "content": "[XXXXX428]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51050": {
+      "content": "[XXXXX183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51051": {
+      "content": "[XXXXX850]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51052": {
+      "content": "[XXXXX539]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51053": {
+      "content": "[XXXXX527]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51054": {
+      "content": "[XXXXX660]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51055": {
+      "content": "[XXXXX409]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51056": {
+      "content": "[XXXXX1122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51057": {
+      "content": "[XXXXX898]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51058": {
+      "content": "[XXXXX858]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51059": {
+      "content": "[XXXXX534]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51060": {
+      "content": "[XXXXX756]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51061": {
+      "content": "[XXXXX63]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51062": {
+      "content": "[XXXXX49]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51063": {
+      "content": "[XXXXX1106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51064": {
+      "content": "[XXXXX111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51065": {
+      "content": "[XXXXX955]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51066": {
+      "content": "[XXXXX309]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51067": {
+      "content": "[XXXXX538]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51068": {
+      "content": "[XXXXX823]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51069": {
+      "content": "[XXXXX867]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51070": {
+      "content": "[XXXXX587]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51071": {
+      "content": "[XXXXX243]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51072": {
+      "content": "[XXXXX677]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51073": {
+      "content": "[XXXXX1017]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51074": {
+      "content": "[XXXXX173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51075": {
+      "content": "[XXXXX682]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51076": {
+      "content": "[XXXXX1184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51077": {
+      "content": "[XXXXX1009]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51078": {
+      "content": "[XXXXX704]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51079": {
+      "content": "[XXXXX532]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51080": {
+      "content": "[XXXXX901]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51081": {
+      "content": "[XXXXX120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51082": {
+      "content": "[XXXXX388]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51083": {
+      "content": "[XXXXX405]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51084": {
+      "content": "[XXXXX788]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51085": {
+      "content": "[XXXXX728]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51086": {
+      "content": "[XXXXX425]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51087": {
+      "content": "[XXXXX883]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51088": {
+      "content": "[XXXXX837]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51089": {
+      "content": "[XXXXX350]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51090": {
+      "content": "[XXXXX716]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51091": {
+      "content": "[XXXXX579]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51092": {
+      "content": "[XXXXX909]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51093": {
+      "content": "[XXXXX884]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51094": {
+      "content": "[XXXXX1011]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51095": {
+      "content": "[XXXXX372]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51096": {
+      "content": "[XXXXX370]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51097": {
+      "content": "[XXXXX468]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51098": {
+      "content": "[XXXXX688]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51099": {
+      "content": "[XXXXX56]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51100": {
+      "content": "[XXXXX653]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51101": {
+      "content": "[XXXXX623]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51102": {
+      "content": "[XXXXX552]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51103": {
+      "content": "[XXXXX314]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51104": {
+      "content": "[XXXXX1018]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51105": {
+      "content": "[XXXXX1091]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51106": {
+      "content": "[XXXXX342]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51107": {
+      "content": "[XXXXX1065]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51108": {
+      "content": "[XXXXX1161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51109": {
+      "content": "[XXXXX959]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51110": {
+      "content": "[XXXXX1035]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51111": {
+      "content": "[XXXXX530]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51112": {
+      "content": "[XXXXX69]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51113": {
+      "content": "[XXXXX489]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51114": {
+      "content": "[XXXXX1]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51115": {
+      "content": "[XXXXX207]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51116": {
+      "content": "[XXXXX433]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51117": {
+      "content": "[XXXXX358]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51118": {
+      "content": "[XXXXX601]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51119": {
+      "content": "[XXXXX2]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51120": {
+      "content": "[XXXXX722]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51121": {
+      "content": "[XXXXX985]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51122": {
+      "content": "[XXXXX908]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51123": {
+      "content": "[XXXXX1024]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51124": {
+      "content": "[XXXXX1111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51125": {
+      "content": "[XXXXX1113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51126": {
+      "content": "[XXXXX678]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51127": {
+      "content": "[XXXXX19]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51128": {
+      "content": "[XXXXX1186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51129": {
+      "content": "[XXXXX808]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51130": {
+      "content": "[XXXXX493]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51131": {
+      "content": "[XXXXX1155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51132": {
+      "content": "[XXXXX217]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51133": {
+      "content": "[XXXXX616]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51134": {
+      "content": "[XXXXX835]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51135": {
+      "content": "[XXXXX994]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51136": {
+      "content": "[XXXXX484]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51137": {
+      "content": "[XXXXX362]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51138": {
+      "content": "[XXXXX582]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51139": {
+      "content": "[XXXXX1034]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51140": {
+      "content": "[XXXXX772]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51141": {
+      "content": "[XXXXX457]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51142": {
+      "content": "[XXXXX604]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51143": {
+      "content": "[XXXXX456]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51144": {
+      "content": "[XXXXX145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51145": {
+      "content": "[XXXXX476]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51146": {
+      "content": "[XXXXX218]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51147": {
+      "content": "[XXXXX199]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51148": {
+      "content": "[XXXXX364]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51149": {
+      "content": "[XXXXX302]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51150": {
+      "content": "[XXXXX881]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51151": {
+      "content": "[XXXXX1088]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51152": {
+      "content": "[XXXXX356]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51153": {
+      "content": "[XXXXX936]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51154": {
+      "content": "[XXXXX978]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51155": {
+      "content": "[XXXXX895]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51156": {
+      "content": "[XXXXX993]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51157": {
+      "content": "[XXXXX458]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51158": {
+      "content": "[XXXXX1002]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51159": {
+      "content": "[XXXXX1022]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51160": {
+      "content": "[XXXXX25]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51161": {
+      "content": "[XXXXX766]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51162": {
+      "content": "[XXXXX64]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51163": {
+      "content": "[XXXXX211]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51164": {
+      "content": "[XXXXX82]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51165": {
+      "content": "[XXXXX634]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51166": {
+      "content": "[XXXXX661]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51167": {
+      "content": "[XXXXX748]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51168": {
+      "content": "[XXXXX778]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51169": {
+      "content": "[XXXXX24]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51170": {
+      "content": "[XXXXX448]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51171": {
+      "content": "[XXXXX887]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51172": {
+      "content": "[XXXXX890]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51173": {
+      "content": "[XXXXX754]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51174": {
+      "content": "[XXXXX343]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51175": {
+      "content": "[XXXXX1069]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51176": {
+      "content": "[XXXXX294]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51177": {
+      "content": "[XXXXX295]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51178": {
+      "content": "[XXXXX197]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51179": {
+      "content": "[XXXXX210]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51180": {
+      "content": "[XXXXX630]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51181": {
+      "content": "[XXXXX707]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51182": {
+      "content": "[XXXXX864]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51183": {
+      "content": "[XXXXX391]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51184": {
+      "content": "[XXXXX338]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51185": {
+      "content": "[XXXXX800]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51186": {
+      "content": "[XXXXX841]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51187": {
+      "content": "[XXXXX967]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51188": {
+      "content": "[XXXXX793]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51189": {
+      "content": "[XXXXX916]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51190": {
+      "content": "[XXXXX603]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51191": {
+      "content": "[XXXXX270]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51192": {
+      "content": "[XXXXX105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51193": {
+      "content": "[XXXXX1016]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51194": {
+      "content": "[XXXXX804]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51195": {
+      "content": "[XXXXX264]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51196": {
+      "content": "[XXXXX155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51197": {
+      "content": "[XXXXX1190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51198": {
+      "content": "[XXXXX813]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51199": {
+      "content": "[XXXXX546]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "keep_accents": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}
diff --git a/checkpoint-1500/trainer_state.json b/checkpoint-1500/trainer_state.json
new file mode 100644
index 0000000..5af822a
--- /dev/null
+++ b/checkpoint-1500/trainer_state.json
@@ -0,0 +1,3067 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 1.2427506213753108,
+  "eval_steps": 500,
+  "global_step": 1500,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "entropy": 7.218191003799438,
+      "epoch": 0.004142502071251036,
+      "grad_norm": 1.265625,
+      "learning_rate": 2e-06,
+      "loss": 6.8898,
+      "mean_token_accuracy": 0.08805170804262161,
+      "num_tokens": 9149.0,
+      "step": 5
+    },
+    {
+      "entropy": 7.191673707962036,
+      "epoch": 0.008285004142502071,
+      "grad_norm": 1.5078125,
+      "learning_rate": 4.5e-06,
+      "loss": 6.7268,
+      "mean_token_accuracy": 0.09304728880524635,
+      "num_tokens": 16800.0,
+      "step": 10
+    },
+    {
+      "entropy": 7.134524202346801,
+      "epoch": 0.012427506213753107,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7e-06,
+      "loss": 6.8905,
+      "mean_token_accuracy": 0.0921505056321621,
+      "num_tokens": 26617.0,
+      "step": 15
+    },
+    {
+      "entropy": 7.115550088882446,
+      "epoch": 0.016570008285004142,
+      "grad_norm": 1.25,
+      "learning_rate": 9.5e-06,
+      "loss": 6.8021,
+      "mean_token_accuracy": 0.09268744736909866,
+      "num_tokens": 35855.0,
+      "step": 20
+    },
+    {
+      "entropy": 7.12396879196167,
+      "epoch": 0.020712510356255178,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.2e-05,
+      "loss": 7.0094,
+      "mean_token_accuracy": 0.08752714470028877,
+      "num_tokens": 45644.0,
+      "step": 25
+    },
+    {
+      "entropy": 7.054446792602539,
+      "epoch": 0.024855012427506214,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.4500000000000002e-05,
+      "loss": 6.8922,
+      "mean_token_accuracy": 0.09398627206683159,
+      "num_tokens": 54641.0,
+      "step": 30
+    },
+    {
+      "entropy": 7.012255907058716,
+      "epoch": 0.02899751449875725,
+      "grad_norm": 1.0234375,
+      "learning_rate": 1.7000000000000003e-05,
+      "loss": 6.7519,
+      "mean_token_accuracy": 0.08958807587623596,
+      "num_tokens": 63924.0,
+      "step": 35
+    },
+    {
+      "entropy": 7.068031549453735,
+      "epoch": 0.033140016570008285,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.95e-05,
+      "loss": 6.89,
+      "mean_token_accuracy": 0.09437783882021904,
+      "num_tokens": 73452.0,
+      "step": 40
+    },
+    {
+      "entropy": 7.06072301864624,
+      "epoch": 0.037282518641259324,
+      "grad_norm": 1.0234375,
+      "learning_rate": 2.2e-05,
+      "loss": 6.9455,
+      "mean_token_accuracy": 0.0851291574537754,
+      "num_tokens": 82731.0,
+      "step": 45
+    },
+    {
+      "entropy": 7.090083169937134,
+      "epoch": 0.041425020712510356,
+      "grad_norm": 1.1015625,
+      "learning_rate": 2.4500000000000003e-05,
+      "loss": 6.7734,
+      "mean_token_accuracy": 0.09048294499516488,
+      "num_tokens": 92626.0,
+      "step": 50
+    },
+    {
+      "entropy": 7.149203157424926,
+      "epoch": 0.045567522783761395,
+      "grad_norm": 1.21875,
+      "learning_rate": 2.7e-05,
+      "loss": 6.9497,
+      "mean_token_accuracy": 0.08217904865741729,
+      "num_tokens": 101380.0,
+      "step": 55
+    },
+    {
+      "entropy": 7.119951963424683,
+      "epoch": 0.04971002485501243,
+      "grad_norm": 1.046875,
+      "learning_rate": 2.95e-05,
+      "loss": 6.8604,
+      "mean_token_accuracy": 0.09202293381094932,
+      "num_tokens": 109895.0,
+      "step": 60
+    },
+    {
+      "entropy": 7.2014998435974125,
+      "epoch": 0.053852526926263466,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.2e-05,
+      "loss": 6.8449,
+      "mean_token_accuracy": 0.09257669150829315,
+      "num_tokens": 119203.0,
+      "step": 65
+    },
+    {
+      "entropy": 7.1111664295196535,
+      "epoch": 0.0579950289975145,
+      "grad_norm": 1.1484375,
+      "learning_rate": 3.4500000000000005e-05,
+      "loss": 6.7903,
+      "mean_token_accuracy": 0.09657297283411026,
+      "num_tokens": 127572.0,
+      "step": 70
+    },
+    {
+      "entropy": 7.04930944442749,
+      "epoch": 0.06213753106876554,
+      "grad_norm": 1.03125,
+      "learning_rate": 3.7e-05,
+      "loss": 6.8304,
+      "mean_token_accuracy": 0.09063600301742554,
+      "num_tokens": 137161.0,
+      "step": 75
+    },
+    {
+      "entropy": 7.044711875915527,
+      "epoch": 0.06628003314001657,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.95e-05,
+      "loss": 6.9451,
+      "mean_token_accuracy": 0.08874713778495788,
+      "num_tokens": 145991.0,
+      "step": 80
+    },
+    {
+      "entropy": 7.130092525482178,
+      "epoch": 0.07042253521126761,
+      "grad_norm": 1.0546875,
+      "learning_rate": 4.2000000000000004e-05,
+      "loss": 6.8464,
+      "mean_token_accuracy": 0.08955071866512299,
+      "num_tokens": 154927.0,
+      "step": 85
+    },
+    {
+      "entropy": 7.090402746200562,
+      "epoch": 0.07456503728251865,
+      "grad_norm": 1.34375,
+      "learning_rate": 4.45e-05,
+      "loss": 6.7595,
+      "mean_token_accuracy": 0.09832768961787224,
+      "num_tokens": 163234.0,
+      "step": 90
+    },
+    {
+      "entropy": 7.08957576751709,
+      "epoch": 0.07870753935376967,
+      "grad_norm": 1.015625,
+      "learning_rate": 4.7000000000000004e-05,
+      "loss": 6.7163,
+      "mean_token_accuracy": 0.09379880875349045,
+      "num_tokens": 171554.0,
+      "step": 95
+    },
+    {
+      "entropy": 7.044517278671265,
+      "epoch": 0.08285004142502071,
+      "grad_norm": 1.1328125,
+      "learning_rate": 4.9500000000000004e-05,
+      "loss": 6.8173,
+      "mean_token_accuracy": 0.0955286517739296,
+      "num_tokens": 180171.0,
+      "step": 100
+    },
+    {
+      "entropy": 7.050950908660889,
+      "epoch": 0.08699254349627175,
+      "grad_norm": 1.0859375,
+      "learning_rate": 5.2e-05,
+      "loss": 6.761,
+      "mean_token_accuracy": 0.09741089940071106,
+      "num_tokens": 189216.0,
+      "step": 105
+    },
+    {
+      "entropy": 7.173562717437744,
+      "epoch": 0.09113504556752279,
+      "grad_norm": 1.015625,
+      "learning_rate": 5.45e-05,
+      "loss": 6.9519,
+      "mean_token_accuracy": 0.08675800338387489,
+      "num_tokens": 200022.0,
+      "step": 110
+    },
+    {
+      "entropy": 7.183744478225708,
+      "epoch": 0.09527754763877382,
+      "grad_norm": 1.2265625,
+      "learning_rate": 5.7e-05,
+      "loss": 6.8642,
+      "mean_token_accuracy": 0.09210581332445145,
+      "num_tokens": 208686.0,
+      "step": 115
+    },
+    {
+      "entropy": 7.121539115905762,
+      "epoch": 0.09942004971002485,
+      "grad_norm": 1.1875,
+      "learning_rate": 5.9499999999999996e-05,
+      "loss": 6.8829,
+      "mean_token_accuracy": 0.09462191313505172,
+      "num_tokens": 218266.0,
+      "step": 120
+    },
+    {
+      "entropy": 7.006736946105957,
+      "epoch": 0.1035625517812759,
+      "grad_norm": 1.046875,
+      "learning_rate": 6.2e-05,
+      "loss": 6.7523,
+      "mean_token_accuracy": 0.08771666437387467,
+      "num_tokens": 227658.0,
+      "step": 125
+    },
+    {
+      "entropy": 7.040027761459351,
+      "epoch": 0.10770505385252693,
+      "grad_norm": 1.1015625,
+      "learning_rate": 6.450000000000001e-05,
+      "loss": 6.7014,
+      "mean_token_accuracy": 0.1004502885043621,
+      "num_tokens": 236301.0,
+      "step": 130
+    },
+    {
+      "entropy": 7.106470441818237,
+      "epoch": 0.11184755592377796,
+      "grad_norm": 1.1171875,
+      "learning_rate": 6.7e-05,
+      "loss": 6.8424,
+      "mean_token_accuracy": 0.08812138065695763,
+      "num_tokens": 246355.0,
+      "step": 135
+    },
+    {
+      "entropy": 7.174679756164551,
+      "epoch": 0.115990057995029,
+      "grad_norm": 1.15625,
+      "learning_rate": 6.950000000000001e-05,
+      "loss": 6.8174,
+      "mean_token_accuracy": 0.0924198254942894,
+      "num_tokens": 256023.0,
+      "step": 140
+    },
+    {
+      "entropy": 7.10174069404602,
+      "epoch": 0.12013256006628004,
+      "grad_norm": 0.9921875,
+      "learning_rate": 7.2e-05,
+      "loss": 6.9036,
+      "mean_token_accuracy": 0.08638993799686431,
+      "num_tokens": 266893.0,
+      "step": 145
+    },
+    {
+      "entropy": 7.019921684265137,
+      "epoch": 0.12427506213753108,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7.45e-05,
+      "loss": 6.6606,
+      "mean_token_accuracy": 0.08872481286525727,
+      "num_tokens": 276075.0,
+      "step": 150
+    },
+    {
+      "entropy": 7.042754888534546,
+      "epoch": 0.12841756420878211,
+      "grad_norm": 1.25,
+      "learning_rate": 7.7e-05,
+      "loss": 6.7532,
+      "mean_token_accuracy": 0.09296932220458984,
+      "num_tokens": 285529.0,
+      "step": 155
+    },
+    {
+      "entropy": 7.064399909973145,
+      "epoch": 0.13256006628003314,
+      "grad_norm": 1.15625,
+      "learning_rate": 7.950000000000001e-05,
+      "loss": 6.762,
+      "mean_token_accuracy": 0.09406789913773536,
+      "num_tokens": 294403.0,
+      "step": 160
+    },
+    {
+      "entropy": 7.152362823486328,
+      "epoch": 0.13670256835128416,
+      "grad_norm": 1.28125,
+      "learning_rate": 8.2e-05,
+      "loss": 6.8553,
+      "mean_token_accuracy": 0.09358441680669785,
+      "num_tokens": 303507.0,
+      "step": 165
+    },
+    {
+      "entropy": 7.071487474441528,
+      "epoch": 0.14084507042253522,
+      "grad_norm": 1.21875,
+      "learning_rate": 8.450000000000001e-05,
+      "loss": 6.7534,
+      "mean_token_accuracy": 0.09645206108689308,
+      "num_tokens": 312393.0,
+      "step": 170
+    },
+    {
+      "entropy": 6.956210470199585,
+      "epoch": 0.14498757249378624,
+      "grad_norm": 1.0859375,
+      "learning_rate": 8.7e-05,
+      "loss": 6.7226,
+      "mean_token_accuracy": 0.09953253641724587,
+      "num_tokens": 321309.0,
+      "step": 175
+    },
+    {
+      "entropy": 7.2200812816619875,
+      "epoch": 0.1491300745650373,
+      "grad_norm": 1.1328125,
+      "learning_rate": 8.95e-05,
+      "loss": 6.7879,
+      "mean_token_accuracy": 0.09582221284508705,
+      "num_tokens": 330217.0,
+      "step": 180
+    },
+    {
+      "entropy": 6.964824962615967,
+      "epoch": 0.15327257663628832,
+      "grad_norm": 1.2109375,
+      "learning_rate": 9.2e-05,
+      "loss": 6.8296,
+      "mean_token_accuracy": 0.09584516286849976,
+      "num_tokens": 339587.0,
+      "step": 185
+    },
+    {
+      "entropy": 7.104565525054932,
+      "epoch": 0.15741507870753935,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.45e-05,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.09563353508710862,
+      "num_tokens": 349367.0,
+      "step": 190
+    },
+    {
+      "entropy": 6.90956711769104,
+      "epoch": 0.1615575807787904,
+      "grad_norm": 1.1953125,
+      "learning_rate": 9.7e-05,
+      "loss": 6.6535,
+      "mean_token_accuracy": 0.09533214569091797,
+      "num_tokens": 358272.0,
+      "step": 195
+    },
+    {
+      "entropy": 7.184430170059204,
+      "epoch": 0.16570008285004142,
+      "grad_norm": 1.1875,
+      "learning_rate": 9.95e-05,
+      "loss": 6.8847,
+      "mean_token_accuracy": 0.09342379868030548,
+      "num_tokens": 367709.0,
+      "step": 200
+    },
+    {
+      "entropy": 7.108258152008057,
+      "epoch": 0.16984258492129245,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000102,
+      "loss": 6.7363,
+      "mean_token_accuracy": 0.09321728497743606,
+      "num_tokens": 376180.0,
+      "step": 205
+    },
+    {
+      "entropy": 7.143853282928466,
+      "epoch": 0.1739850869925435,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00010449999999999999,
+      "loss": 6.8927,
+      "mean_token_accuracy": 0.08639989122748375,
+      "num_tokens": 385636.0,
+      "step": 210
+    },
+    {
+      "entropy": 7.005528688430786,
+      "epoch": 0.17812758906379453,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000107,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.10387283116579056,
+      "num_tokens": 394486.0,
+      "step": 215
+    },
+    {
+      "entropy": 7.066776275634766,
+      "epoch": 0.18227009113504558,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0001095,
+      "loss": 6.7286,
+      "mean_token_accuracy": 0.09739693626761436,
+      "num_tokens": 403765.0,
+      "step": 220
+    },
+    {
+      "entropy": 6.9391695022583,
+      "epoch": 0.1864125932062966,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000112,
+      "loss": 6.7198,
+      "mean_token_accuracy": 0.09883175939321517,
+      "num_tokens": 412988.0,
+      "step": 225
+    },
+    {
+      "entropy": 7.029045248031617,
+      "epoch": 0.19055509527754763,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0001145,
+      "loss": 6.6219,
+      "mean_token_accuracy": 0.09850638806819915,
+      "num_tokens": 422096.0,
+      "step": 230
+    },
+    {
+      "entropy": 7.055552911758423,
+      "epoch": 0.19469759734879868,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011700000000000001,
+      "loss": 6.7907,
+      "mean_token_accuracy": 0.08912368193268776,
+      "num_tokens": 431333.0,
+      "step": 235
+    },
+    {
+      "entropy": 7.076433277130127,
+      "epoch": 0.1988400994200497,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00011949999999999999,
+      "loss": 6.825,
+      "mean_token_accuracy": 0.0998022735118866,
+      "num_tokens": 440382.0,
+      "step": 240
+    },
+    {
+      "entropy": 7.098494958877564,
+      "epoch": 0.20298260149130073,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000122,
+      "loss": 6.7184,
+      "mean_token_accuracy": 0.1035430908203125,
+      "num_tokens": 448469.0,
+      "step": 245
+    },
+    {
+      "entropy": 7.065437746047974,
+      "epoch": 0.2071251035625518,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001245,
+      "loss": 6.7562,
+      "mean_token_accuracy": 0.0973759837448597,
+      "num_tokens": 457356.0,
+      "step": 250
+    },
+    {
+      "entropy": 7.103154182434082,
+      "epoch": 0.2112676056338028,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000127,
+      "loss": 6.7821,
+      "mean_token_accuracy": 0.09721289053559304,
+      "num_tokens": 465928.0,
+      "step": 255
+    },
+    {
+      "entropy": 6.99681601524353,
+      "epoch": 0.21541010770505387,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0001295,
+      "loss": 6.6931,
+      "mean_token_accuracy": 0.09931288808584213,
+      "num_tokens": 475269.0,
+      "step": 260
+    },
+    {
+      "entropy": 6.960800266265869,
+      "epoch": 0.2195526097763049,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000132,
+      "loss": 6.679,
+      "mean_token_accuracy": 0.09512786641716957,
+      "num_tokens": 485450.0,
+      "step": 265
+    },
+    {
+      "entropy": 7.0514568328857425,
+      "epoch": 0.22369511184755592,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00013450000000000002,
+      "loss": 6.7347,
+      "mean_token_accuracy": 0.10228226557374001,
+      "num_tokens": 494029.0,
+      "step": 270
+    },
+    {
+      "entropy": 6.9516912460327145,
+      "epoch": 0.22783761391880697,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013700000000000002,
+      "loss": 6.676,
+      "mean_token_accuracy": 0.10202871784567832,
+      "num_tokens": 503253.0,
+      "step": 275
+    },
+    {
+      "entropy": 7.018160057067871,
+      "epoch": 0.231980115990058,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0001395,
+      "loss": 6.6685,
+      "mean_token_accuracy": 0.09529435187578202,
+      "num_tokens": 512857.0,
+      "step": 280
+    },
+    {
+      "entropy": 6.9714985370635985,
+      "epoch": 0.23612261806130902,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00014199999999999998,
+      "loss": 6.7719,
+      "mean_token_accuracy": 0.09288227260112762,
+      "num_tokens": 522319.0,
+      "step": 285
+    },
+    {
+      "entropy": 7.113205528259277,
+      "epoch": 0.24026512013256007,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0001445,
+      "loss": 6.7224,
+      "mean_token_accuracy": 0.09471780881285667,
+      "num_tokens": 531469.0,
+      "step": 290
+    },
+    {
+      "entropy": 6.976934480667114,
+      "epoch": 0.2444076222038111,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000147,
+      "loss": 6.756,
+      "mean_token_accuracy": 0.09480062946677208,
+      "num_tokens": 540470.0,
+      "step": 295
+    },
+    {
+      "entropy": 7.011937475204467,
+      "epoch": 0.24855012427506215,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0001495,
+      "loss": 6.7584,
+      "mean_token_accuracy": 0.09700122326612473,
+      "num_tokens": 550317.0,
+      "step": 300
+    },
+    {
+      "entropy": 7.0365160465240475,
+      "epoch": 0.2526926263463132,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000152,
+      "loss": 6.7067,
+      "mean_token_accuracy": 0.09434132501482964,
+      "num_tokens": 559409.0,
+      "step": 305
+    },
+    {
+      "entropy": 6.928857326507568,
+      "epoch": 0.25683512841756423,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00015450000000000001,
+      "loss": 6.768,
+      "mean_token_accuracy": 0.10764710158109665,
+      "num_tokens": 568726.0,
+      "step": 310
+    },
+    {
+      "entropy": 7.103991413116455,
+      "epoch": 0.2609776304888152,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000157,
+      "loss": 6.7179,
+      "mean_token_accuracy": 0.0976541943848133,
+      "num_tokens": 577926.0,
+      "step": 315
+    },
+    {
+      "entropy": 7.047203779220581,
+      "epoch": 0.2651201325600663,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001595,
+      "loss": 6.7448,
+      "mean_token_accuracy": 0.09809661954641342,
+      "num_tokens": 586695.0,
+      "step": 320
+    },
+    {
+      "entropy": 7.039609956741333,
+      "epoch": 0.26926263463131733,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000162,
+      "loss": 6.771,
+      "mean_token_accuracy": 0.0949723981320858,
+      "num_tokens": 596250.0,
+      "step": 325
+    },
+    {
+      "entropy": 7.063632202148438,
+      "epoch": 0.27340513670256833,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00016450000000000001,
+      "loss": 6.8221,
+      "mean_token_accuracy": 0.09051206335425377,
+      "num_tokens": 605761.0,
+      "step": 330
+    },
+    {
+      "entropy": 7.019326877593994,
+      "epoch": 0.2775476387738194,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00016700000000000002,
+      "loss": 6.7365,
+      "mean_token_accuracy": 0.09872144013643265,
+      "num_tokens": 614313.0,
+      "step": 335
+    },
+    {
+      "entropy": 7.037422132492066,
+      "epoch": 0.28169014084507044,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00016950000000000003,
+      "loss": 6.7692,
+      "mean_token_accuracy": 0.09455474764108658,
+      "num_tokens": 624470.0,
+      "step": 340
+    },
+    {
+      "entropy": 7.039082098007202,
+      "epoch": 0.28583264291632143,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00017199999999999998,
+      "loss": 6.6843,
+      "mean_token_accuracy": 0.09269843101501465,
+      "num_tokens": 633458.0,
+      "step": 345
+    },
+    {
+      "entropy": 6.942268037796021,
+      "epoch": 0.2899751449875725,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00017449999999999999,
+      "loss": 6.6939,
+      "mean_token_accuracy": 0.09877684414386749,
+      "num_tokens": 643251.0,
+      "step": 350
+    },
+    {
+      "entropy": 6.99584732055664,
+      "epoch": 0.29411764705882354,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000177,
+      "loss": 6.7635,
+      "mean_token_accuracy": 0.09713540598750114,
+      "num_tokens": 652005.0,
+      "step": 355
+    },
+    {
+      "entropy": 7.006586170196533,
+      "epoch": 0.2982601491300746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0001795,
+      "loss": 6.6575,
+      "mean_token_accuracy": 0.10120807588100433,
+      "num_tokens": 661003.0,
+      "step": 360
+    },
+    {
+      "entropy": 6.874996137619019,
+      "epoch": 0.3024026512013256,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000182,
+      "loss": 6.6294,
+      "mean_token_accuracy": 0.09844254851341247,
+      "num_tokens": 670221.0,
+      "step": 365
+    },
+    {
+      "entropy": 7.155635738372803,
+      "epoch": 0.30654515327257664,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001845,
+      "loss": 6.9236,
+      "mean_token_accuracy": 0.0882349319756031,
+      "num_tokens": 680756.0,
+      "step": 370
+    },
+    {
+      "entropy": 6.94540753364563,
+      "epoch": 0.3106876553438277,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000187,
+      "loss": 6.6157,
+      "mean_token_accuracy": 0.10289054960012436,
+      "num_tokens": 689641.0,
+      "step": 375
+    },
+    {
+      "entropy": 6.87992377281189,
+      "epoch": 0.3148301574150787,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001895,
+      "loss": 6.5696,
+      "mean_token_accuracy": 0.09839320331811904,
+      "num_tokens": 698209.0,
+      "step": 380
+    },
+    {
+      "entropy": 6.823869276046753,
+      "epoch": 0.31897265948632975,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000192,
+      "loss": 6.5736,
+      "mean_token_accuracy": 0.10355777889490128,
+      "num_tokens": 706712.0,
+      "step": 385
+    },
+    {
+      "entropy": 7.037634468078613,
+      "epoch": 0.3231151615575808,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0001945,
+      "loss": 6.8017,
+      "mean_token_accuracy": 0.09728012606501579,
+      "num_tokens": 716087.0,
+      "step": 390
+    },
+    {
+      "entropy": 6.911249494552612,
+      "epoch": 0.3272576636288318,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00019700000000000002,
+      "loss": 6.6465,
+      "mean_token_accuracy": 0.09347675815224647,
+      "num_tokens": 725913.0,
+      "step": 395
+    },
+    {
+      "entropy": 6.944440317153931,
+      "epoch": 0.33140016570008285,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019950000000000002,
+      "loss": 6.7201,
+      "mean_token_accuracy": 0.10362306237220764,
+      "num_tokens": 735020.0,
+      "step": 400
+    },
+    {
+      "entropy": 6.985636854171753,
+      "epoch": 0.3355426677713339,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000202,
+      "loss": 6.6216,
+      "mean_token_accuracy": 0.09469136893749237,
+      "num_tokens": 744299.0,
+      "step": 405
+    },
+    {
+      "entropy": 6.883630275726318,
+      "epoch": 0.3396851698425849,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00020449999999999998,
+      "loss": 6.6099,
+      "mean_token_accuracy": 0.09694516137242318,
+      "num_tokens": 753231.0,
+      "step": 410
+    },
+    {
+      "entropy": 6.825357389450073,
+      "epoch": 0.34382767191383595,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000207,
+      "loss": 6.6717,
+      "mean_token_accuracy": 0.10230854973196983,
+      "num_tokens": 763043.0,
+      "step": 415
+    },
+    {
+      "entropy": 7.016851997375488,
+      "epoch": 0.347970173985087,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0002095,
+      "loss": 6.6905,
+      "mean_token_accuracy": 0.09913048222661018,
+      "num_tokens": 771977.0,
+      "step": 420
+    },
+    {
+      "entropy": 6.820244407653808,
+      "epoch": 0.352112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000212,
+      "loss": 6.6243,
+      "mean_token_accuracy": 0.1011092983186245,
+      "num_tokens": 780285.0,
+      "step": 425
+    },
+    {
+      "entropy": 6.956075525283813,
+      "epoch": 0.35625517812758906,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002145,
+      "loss": 6.6593,
+      "mean_token_accuracy": 0.09649045094847679,
+      "num_tokens": 789980.0,
+      "step": 430
+    },
+    {
+      "entropy": 6.984846019744873,
+      "epoch": 0.3603976801988401,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021700000000000002,
+      "loss": 6.6275,
+      "mean_token_accuracy": 0.10474459528923034,
+      "num_tokens": 798700.0,
+      "step": 435
+    },
+    {
+      "entropy": 6.767291498184204,
+      "epoch": 0.36454018227009116,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002195,
+      "loss": 6.7208,
+      "mean_token_accuracy": 0.09600067660212516,
+      "num_tokens": 808758.0,
+      "step": 440
+    },
+    {
+      "entropy": 7.046369791030884,
+      "epoch": 0.36868268434134216,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000222,
+      "loss": 6.6666,
+      "mean_token_accuracy": 0.10458802133798599,
+      "num_tokens": 817692.0,
+      "step": 445
+    },
+    {
+      "entropy": 6.95425066947937,
+      "epoch": 0.3728251864125932,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002245,
+      "loss": 6.7146,
+      "mean_token_accuracy": 0.10474570766091347,
+      "num_tokens": 827052.0,
+      "step": 450
+    },
+    {
+      "entropy": 6.895345544815063,
+      "epoch": 0.37696768848384427,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00022700000000000002,
+      "loss": 6.7139,
+      "mean_token_accuracy": 0.1091882586479187,
+      "num_tokens": 836442.0,
+      "step": 455
+    },
+    {
+      "entropy": 6.922871923446655,
+      "epoch": 0.38111019055509526,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00022950000000000002,
+      "loss": 6.5775,
+      "mean_token_accuracy": 0.10118989571928978,
+      "num_tokens": 846441.0,
+      "step": 460
+    },
+    {
+      "entropy": 6.8815388679504395,
+      "epoch": 0.3852526926263463,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00023200000000000003,
+      "loss": 6.6215,
+      "mean_token_accuracy": 0.10475475937128068,
+      "num_tokens": 856108.0,
+      "step": 465
+    },
+    {
+      "entropy": 6.848587274551392,
+      "epoch": 0.38939519469759737,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00023449999999999998,
+      "loss": 6.5833,
+      "mean_token_accuracy": 0.10137399956583977,
+      "num_tokens": 865788.0,
+      "step": 470
+    },
+    {
+      "entropy": 6.886804008483887,
+      "epoch": 0.39353769676884837,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000237,
+      "loss": 6.6302,
+      "mean_token_accuracy": 0.09514767676591873,
+      "num_tokens": 874833.0,
+      "step": 475
+    },
+    {
+      "entropy": 6.751422643661499,
+      "epoch": 0.3976801988400994,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002395,
+      "loss": 6.5997,
+      "mean_token_accuracy": 0.10276172533631325,
+      "num_tokens": 883685.0,
+      "step": 480
+    },
+    {
+      "entropy": 6.881311464309692,
+      "epoch": 0.40182270091135047,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000242,
+      "loss": 6.6001,
+      "mean_token_accuracy": 0.09796027019619942,
+      "num_tokens": 893908.0,
+      "step": 485
+    },
+    {
+      "entropy": 6.934821891784668,
+      "epoch": 0.40596520298260147,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002445,
+      "loss": 6.7142,
+      "mean_token_accuracy": 0.09827135354280472,
+      "num_tokens": 903081.0,
+      "step": 490
+    },
+    {
+      "entropy": 6.7868632793426515,
+      "epoch": 0.4101077050538525,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000247,
+      "loss": 6.5522,
+      "mean_token_accuracy": 0.10336750745773315,
+      "num_tokens": 912515.0,
+      "step": 495
+    },
+    {
+      "entropy": 6.886235475540161,
+      "epoch": 0.4142502071251036,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002495,
+      "loss": 6.5797,
+      "mean_token_accuracy": 0.1070313923060894,
+      "num_tokens": 921056.0,
+      "step": 500
+    },
+    {
+      "epoch": 0.4142502071251036,
+      "eval_entropy": 6.836038604728194,
+      "eval_loss": 6.684774875640869,
+      "eval_mean_token_accuracy": 0.10272799217021034,
+      "eval_num_tokens": 921056.0,
+      "eval_runtime": 2.7891,
+      "eval_samples_per_second": 1343.421,
+      "eval_steps_per_second": 168.152,
+      "step": 500
+    },
+    {
+      "entropy": 6.7657403469085695,
+      "epoch": 0.4183927091963546,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000252,
+      "loss": 6.5317,
+      "mean_token_accuracy": 0.10417452603578567,
+      "num_tokens": 931112.0,
+      "step": 505
+    },
+    {
+      "entropy": 6.821895503997803,
+      "epoch": 0.4225352112676056,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0002545,
+      "loss": 6.6605,
+      "mean_token_accuracy": 0.0978618748486042,
+      "num_tokens": 941120.0,
+      "step": 510
+    },
+    {
+      "entropy": 6.886211729049682,
+      "epoch": 0.4266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000257,
+      "loss": 6.6044,
+      "mean_token_accuracy": 0.09737976416945457,
+      "num_tokens": 950041.0,
+      "step": 515
+    },
+    {
+      "entropy": 6.879851579666138,
+      "epoch": 0.43082021541010773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002595,
+      "loss": 6.5907,
+      "mean_token_accuracy": 0.10606569275259972,
+      "num_tokens": 958608.0,
+      "step": 520
+    },
+    {
+      "entropy": 6.886484861373901,
+      "epoch": 0.43496271748135873,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.000262,
+      "loss": 6.7158,
+      "mean_token_accuracy": 0.09990910813212395,
+      "num_tokens": 966901.0,
+      "step": 525
+    },
+    {
+      "entropy": 6.767313003540039,
+      "epoch": 0.4391052195526098,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026450000000000003,
+      "loss": 6.5504,
+      "mean_token_accuracy": 0.10768762230873108,
+      "num_tokens": 976198.0,
+      "step": 530
+    },
+    {
+      "entropy": 6.892781782150268,
+      "epoch": 0.44324772162386084,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026700000000000004,
+      "loss": 6.624,
+      "mean_token_accuracy": 0.09861580505967141,
+      "num_tokens": 985248.0,
+      "step": 535
+    },
+    {
+      "entropy": 6.772344255447388,
+      "epoch": 0.44739022369511183,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00026950000000000005,
+      "loss": 6.5014,
+      "mean_token_accuracy": 0.1071978710591793,
+      "num_tokens": 993289.0,
+      "step": 540
+    },
+    {
+      "entropy": 6.820696449279785,
+      "epoch": 0.4515327257663629,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027200000000000005,
+      "loss": 6.5909,
+      "mean_token_accuracy": 0.10533165782690049,
+      "num_tokens": 1001784.0,
+      "step": 545
+    },
+    {
+      "entropy": 6.935409688949585,
+      "epoch": 0.45567522783761394,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002745,
+      "loss": 6.5627,
+      "mean_token_accuracy": 0.10804210156202317,
+      "num_tokens": 1010445.0,
+      "step": 550
+    },
+    {
+      "entropy": 6.745790100097656,
+      "epoch": 0.45981772990886494,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000277,
+      "loss": 6.6184,
+      "mean_token_accuracy": 0.10709234476089477,
+      "num_tokens": 1019084.0,
+      "step": 555
+    },
+    {
+      "entropy": 6.7490733623504635,
+      "epoch": 0.463960231980116,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002795,
+      "loss": 6.5249,
+      "mean_token_accuracy": 0.10461713373661041,
+      "num_tokens": 1027263.0,
+      "step": 560
+    },
+    {
+      "entropy": 6.876884937286377,
+      "epoch": 0.46810273405136704,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00028199999999999997,
+      "loss": 6.6233,
+      "mean_token_accuracy": 0.09752989709377288,
+      "num_tokens": 1036275.0,
+      "step": 565
+    },
+    {
+      "entropy": 6.765736055374146,
+      "epoch": 0.47224523612261804,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002845,
+      "loss": 6.7015,
+      "mean_token_accuracy": 0.09858408868312836,
+      "num_tokens": 1045208.0,
+      "step": 570
+    },
+    {
+      "entropy": 6.9024957656860355,
+      "epoch": 0.4763877381938691,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000287,
+      "loss": 6.6287,
+      "mean_token_accuracy": 0.1026283286511898,
+      "num_tokens": 1054703.0,
+      "step": 575
+    },
+    {
+      "entropy": 6.647345924377442,
+      "epoch": 0.48053024026512015,
+      "grad_norm": 1.5,
+      "learning_rate": 0.0002895,
+      "loss": 6.4841,
+      "mean_token_accuracy": 0.10212503597140313,
+      "num_tokens": 1063652.0,
+      "step": 580
+    },
+    {
+      "entropy": 6.717900657653809,
+      "epoch": 0.48467274233637114,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000292,
+      "loss": 6.5873,
+      "mean_token_accuracy": 0.10145951434969902,
+      "num_tokens": 1072070.0,
+      "step": 585
+    },
+    {
+      "entropy": 6.997959756851197,
+      "epoch": 0.4888152444076222,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002945,
+      "loss": 6.6143,
+      "mean_token_accuracy": 0.10064447894692422,
+      "num_tokens": 1079992.0,
+      "step": 590
+    },
+    {
+      "entropy": 6.657160854339599,
+      "epoch": 0.49295774647887325,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000297,
+      "loss": 6.628,
+      "mean_token_accuracy": 0.10435748845338821,
+      "num_tokens": 1088862.0,
+      "step": 595
+    },
+    {
+      "entropy": 6.773271942138672,
+      "epoch": 0.4971002485501243,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002995,
+      "loss": 6.4317,
+      "mean_token_accuracy": 0.10795770138502121,
+      "num_tokens": 1097614.0,
+      "step": 600
+    },
+    {
+      "entropy": 6.7102379322052,
+      "epoch": 0.5012427506213754,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000302,
+      "loss": 6.6288,
+      "mean_token_accuracy": 0.10706980749964715,
+      "num_tokens": 1107347.0,
+      "step": 605
+    },
+    {
+      "entropy": 6.8672473430633545,
+      "epoch": 0.5053852526926264,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003045,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10073774978518486,
+      "num_tokens": 1116707.0,
+      "step": 610
+    },
+    {
+      "entropy": 6.764383840560913,
+      "epoch": 0.5095277547638773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000307,
+      "loss": 6.6549,
+      "mean_token_accuracy": 0.10234303548932075,
+      "num_tokens": 1126356.0,
+      "step": 615
+    },
+    {
+      "entropy": 6.787193298339844,
+      "epoch": 0.5136702568351285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003095,
+      "loss": 6.5847,
+      "mean_token_accuracy": 0.10079671740531922,
+      "num_tokens": 1136281.0,
+      "step": 620
+    },
+    {
+      "entropy": 6.713733196258545,
+      "epoch": 0.5178127589063795,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000312,
+      "loss": 6.5355,
+      "mean_token_accuracy": 0.10429632142186165,
+      "num_tokens": 1145466.0,
+      "step": 625
+    },
+    {
+      "entropy": 6.7503923892974855,
+      "epoch": 0.5219552609776305,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003145,
+      "loss": 6.5409,
+      "mean_token_accuracy": 0.10918259546160698,
+      "num_tokens": 1154225.0,
+      "step": 630
+    },
+    {
+      "entropy": 6.761834907531738,
+      "epoch": 0.5260977630488816,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000317,
+      "loss": 6.5885,
+      "mean_token_accuracy": 0.09673135951161385,
+      "num_tokens": 1163872.0,
+      "step": 635
+    },
+    {
+      "entropy": 6.69431324005127,
+      "epoch": 0.5302402651201326,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003195,
+      "loss": 6.5244,
+      "mean_token_accuracy": 0.10705070868134499,
+      "num_tokens": 1172695.0,
+      "step": 640
+    },
+    {
+      "entropy": 6.651590061187744,
+      "epoch": 0.5343827671913836,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000322,
+      "loss": 6.3962,
+      "mean_token_accuracy": 0.11006554961204529,
+      "num_tokens": 1181291.0,
+      "step": 645
+    },
+    {
+      "entropy": 6.782713270187378,
+      "epoch": 0.5385252692626347,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00032450000000000003,
+      "loss": 6.5715,
+      "mean_token_accuracy": 0.10394523739814758,
+      "num_tokens": 1189927.0,
+      "step": 650
+    },
+    {
+      "entropy": 6.705166435241699,
+      "epoch": 0.5426677713338857,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00032700000000000003,
+      "loss": 6.5043,
+      "mean_token_accuracy": 0.10940467119216919,
+      "num_tokens": 1197913.0,
+      "step": 655
+    },
+    {
+      "entropy": 6.670699262619019,
+      "epoch": 0.5468102734051367,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032950000000000004,
+      "loss": 6.4309,
+      "mean_token_accuracy": 0.11147961542010307,
+      "num_tokens": 1207032.0,
+      "step": 660
+    },
+    {
+      "entropy": 6.640204334259034,
+      "epoch": 0.5509527754763878,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00033200000000000005,
+      "loss": 6.5397,
+      "mean_token_accuracy": 0.10571447387337685,
+      "num_tokens": 1215710.0,
+      "step": 665
+    },
+    {
+      "entropy": 6.694819068908691,
+      "epoch": 0.5550952775476388,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033450000000000005,
+      "loss": 6.52,
+      "mean_token_accuracy": 0.10049431845545768,
+      "num_tokens": 1225619.0,
+      "step": 670
+    },
+    {
+      "entropy": 6.649594163894653,
+      "epoch": 0.5592377796188898,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000337,
+      "loss": 6.4407,
+      "mean_token_accuracy": 0.11157044768333435,
+      "num_tokens": 1235000.0,
+      "step": 675
+    },
+    {
+      "entropy": 6.612611961364746,
+      "epoch": 0.5633802816901409,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003395,
+      "loss": 6.4462,
+      "mean_token_accuracy": 0.108580531924963,
+      "num_tokens": 1243594.0,
+      "step": 680
+    },
+    {
+      "entropy": 6.843221950531006,
+      "epoch": 0.5675227837613919,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000342,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10460855960845947,
+      "num_tokens": 1252279.0,
+      "step": 685
+    },
+    {
+      "entropy": 6.760235929489136,
+      "epoch": 0.5716652858326429,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034449999999999997,
+      "loss": 6.559,
+      "mean_token_accuracy": 0.10665302500128745,
+      "num_tokens": 1261314.0,
+      "step": 690
+    },
+    {
+      "entropy": 6.55326566696167,
+      "epoch": 0.575807787903894,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000347,
+      "loss": 6.4337,
+      "mean_token_accuracy": 0.11188110187649727,
+      "num_tokens": 1270854.0,
+      "step": 695
+    },
+    {
+      "entropy": 6.618375587463379,
+      "epoch": 0.579950289975145,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003495,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.11392810270190239,
+      "num_tokens": 1279183.0,
+      "step": 700
+    },
+    {
+      "entropy": 6.626208257675171,
+      "epoch": 0.584092792046396,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000352,
+      "loss": 6.5015,
+      "mean_token_accuracy": 0.10761247500777245,
+      "num_tokens": 1288347.0,
+      "step": 705
+    },
+    {
+      "entropy": 6.6855669021606445,
+      "epoch": 0.5882352941176471,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003545,
+      "loss": 6.5036,
+      "mean_token_accuracy": 0.10823310390114785,
+      "num_tokens": 1297449.0,
+      "step": 710
+    },
+    {
+      "entropy": 6.710147094726563,
+      "epoch": 0.5923777961888981,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000357,
+      "loss": 6.4688,
+      "mean_token_accuracy": 0.10904998034238815,
+      "num_tokens": 1306232.0,
+      "step": 715
+    },
+    {
+      "entropy": 6.6553794860839846,
+      "epoch": 0.5965202982601492,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003595,
+      "loss": 6.4857,
+      "mean_token_accuracy": 0.11109372302889824,
+      "num_tokens": 1315073.0,
+      "step": 720
+    },
+    {
+      "entropy": 6.674065732955933,
+      "epoch": 0.6006628003314002,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000362,
+      "loss": 6.5301,
+      "mean_token_accuracy": 0.10648825243115426,
+      "num_tokens": 1324629.0,
+      "step": 725
+    },
+    {
+      "entropy": 6.700368881225586,
+      "epoch": 0.6048053024026512,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0003645,
+      "loss": 6.6444,
+      "mean_token_accuracy": 0.10443340390920638,
+      "num_tokens": 1334152.0,
+      "step": 730
+    },
+    {
+      "entropy": 6.779498624801636,
+      "epoch": 0.6089478044739023,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000367,
+      "loss": 6.5946,
+      "mean_token_accuracy": 0.10130336955189705,
+      "num_tokens": 1343063.0,
+      "step": 735
+    },
+    {
+      "entropy": 6.684298419952393,
+      "epoch": 0.6130903065451533,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0003695,
+      "loss": 6.5241,
+      "mean_token_accuracy": 0.10516620799899101,
+      "num_tokens": 1352632.0,
+      "step": 740
+    },
+    {
+      "entropy": 6.582866573333741,
+      "epoch": 0.6172328086164043,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000372,
+      "loss": 6.4712,
+      "mean_token_accuracy": 0.10765027329325676,
+      "num_tokens": 1361103.0,
+      "step": 745
+    },
+    {
+      "entropy": 6.643687963485718,
+      "epoch": 0.6213753106876554,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003745,
+      "loss": 6.4642,
+      "mean_token_accuracy": 0.10832677409052849,
+      "num_tokens": 1370658.0,
+      "step": 750
+    },
+    {
+      "entropy": 6.64506516456604,
+      "epoch": 0.6255178127589064,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000377,
+      "loss": 6.4878,
+      "mean_token_accuracy": 0.10808288529515267,
+      "num_tokens": 1379817.0,
+      "step": 755
+    },
+    {
+      "entropy": 6.640752458572388,
+      "epoch": 0.6296603148301574,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003795,
+      "loss": 6.4418,
+      "mean_token_accuracy": 0.10874675288796425,
+      "num_tokens": 1389329.0,
+      "step": 760
+    },
+    {
+      "entropy": 6.4627049446105955,
+      "epoch": 0.6338028169014085,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000382,
+      "loss": 6.4902,
+      "mean_token_accuracy": 0.10606684386730195,
+      "num_tokens": 1399279.0,
+      "step": 765
+    },
+    {
+      "entropy": 6.621781063079834,
+      "epoch": 0.6379453189726595,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003845,
+      "loss": 6.4146,
+      "mean_token_accuracy": 0.11267002299427986,
+      "num_tokens": 1408765.0,
+      "step": 770
+    },
+    {
+      "entropy": 6.736465692520142,
+      "epoch": 0.6420878210439105,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038700000000000003,
+      "loss": 6.5632,
+      "mean_token_accuracy": 0.10607504546642303,
+      "num_tokens": 1418615.0,
+      "step": 775
+    },
+    {
+      "entropy": 6.616378879547119,
+      "epoch": 0.6462303231151616,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038950000000000003,
+      "loss": 6.4664,
+      "mean_token_accuracy": 0.10207068845629692,
+      "num_tokens": 1427359.0,
+      "step": 780
+    },
+    {
+      "entropy": 6.70065336227417,
+      "epoch": 0.6503728251864126,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00039200000000000004,
+      "loss": 6.622,
+      "mean_token_accuracy": 0.1116428442299366,
+      "num_tokens": 1435516.0,
+      "step": 785
+    },
+    {
+      "entropy": 6.709064102172851,
+      "epoch": 0.6545153272576636,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00039450000000000005,
+      "loss": 6.5704,
+      "mean_token_accuracy": 0.10583743155002594,
+      "num_tokens": 1444438.0,
+      "step": 790
+    },
+    {
+      "entropy": 6.671351766586303,
+      "epoch": 0.6586578293289147,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00039700000000000005,
+      "loss": 6.4996,
+      "mean_token_accuracy": 0.11326526403427124,
+      "num_tokens": 1453740.0,
+      "step": 795
+    },
+    {
+      "entropy": 6.614573907852173,
+      "epoch": 0.6628003314001657,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003995,
+      "loss": 6.4874,
+      "mean_token_accuracy": 0.11111863479018211,
+      "num_tokens": 1462083.0,
+      "step": 800
+    },
+    {
+      "entropy": 6.484545516967773,
+      "epoch": 0.6669428334714167,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000402,
+      "loss": 6.4127,
+      "mean_token_accuracy": 0.1100592203438282,
+      "num_tokens": 1471459.0,
+      "step": 805
+    },
+    {
+      "entropy": 6.621589279174804,
+      "epoch": 0.6710853355426678,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004045,
+      "loss": 6.3972,
+      "mean_token_accuracy": 0.11681128293275833,
+      "num_tokens": 1480516.0,
+      "step": 810
+    },
+    {
+      "entropy": 6.421737241744995,
+      "epoch": 0.6752278376139188,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00040699999999999997,
+      "loss": 6.3,
+      "mean_token_accuracy": 0.11318568140268326,
+      "num_tokens": 1489268.0,
+      "step": 815
+    },
+    {
+      "entropy": 6.700246906280517,
+      "epoch": 0.6793703396851698,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004095,
+      "loss": 6.5174,
+      "mean_token_accuracy": 0.11110908538103104,
+      "num_tokens": 1498819.0,
+      "step": 820
+    },
+    {
+      "entropy": 6.622490644454956,
+      "epoch": 0.6835128417564209,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000412,
+      "loss": 6.501,
+      "mean_token_accuracy": 0.11033953949809075,
+      "num_tokens": 1507852.0,
+      "step": 825
+    },
+    {
+      "entropy": 6.59730544090271,
+      "epoch": 0.6876553438276719,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004145,
+      "loss": 6.5302,
+      "mean_token_accuracy": 0.11122860461473465,
+      "num_tokens": 1517538.0,
+      "step": 830
+    },
+    {
+      "entropy": 6.458763217926025,
+      "epoch": 0.6917978458989229,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000417,
+      "loss": 6.4061,
+      "mean_token_accuracy": 0.11324542313814163,
+      "num_tokens": 1525389.0,
+      "step": 835
+    },
+    {
+      "entropy": 6.57511887550354,
+      "epoch": 0.695940347970174,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004195,
+      "loss": 6.3741,
+      "mean_token_accuracy": 0.11116622686386109,
+      "num_tokens": 1534117.0,
+      "step": 840
+    },
+    {
+      "entropy": 6.522304344177246,
+      "epoch": 0.700082850041425,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000422,
+      "loss": 6.4029,
+      "mean_token_accuracy": 0.11315450444817543,
+      "num_tokens": 1542610.0,
+      "step": 845
+    },
+    {
+      "entropy": 6.5175107479095455,
+      "epoch": 0.704225352112676,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004245,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.1143906556069851,
+      "num_tokens": 1551771.0,
+      "step": 850
+    },
+    {
+      "entropy": 6.620167636871338,
+      "epoch": 0.7083678541839271,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.000427,
+      "loss": 6.5779,
+      "mean_token_accuracy": 0.10512799099087715,
+      "num_tokens": 1560231.0,
+      "step": 855
+    },
+    {
+      "entropy": 6.589151382446289,
+      "epoch": 0.7125103562551781,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004295,
+      "loss": 6.5346,
+      "mean_token_accuracy": 0.10532297939062119,
+      "num_tokens": 1569578.0,
+      "step": 860
+    },
+    {
+      "entropy": 6.563750839233398,
+      "epoch": 0.7166528583264291,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000432,
+      "loss": 6.4187,
+      "mean_token_accuracy": 0.11381370946764946,
+      "num_tokens": 1579308.0,
+      "step": 865
+    },
+    {
+      "entropy": 6.597287034988403,
+      "epoch": 0.7207953603976802,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004345,
+      "loss": 6.6081,
+      "mean_token_accuracy": 0.10267190784215927,
+      "num_tokens": 1589506.0,
+      "step": 870
+    },
+    {
+      "entropy": 6.482245397567749,
+      "epoch": 0.7249378624689312,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000437,
+      "loss": 6.3671,
+      "mean_token_accuracy": 0.11368186473846435,
+      "num_tokens": 1598127.0,
+      "step": 875
+    },
+    {
+      "entropy": 6.548954200744629,
+      "epoch": 0.7290803645401823,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004395,
+      "loss": 6.4125,
+      "mean_token_accuracy": 0.11406067088246345,
+      "num_tokens": 1608073.0,
+      "step": 880
+    },
+    {
+      "entropy": 6.551317119598389,
+      "epoch": 0.7332228666114333,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000442,
+      "loss": 6.4304,
+      "mean_token_accuracy": 0.11178040653467178,
+      "num_tokens": 1616272.0,
+      "step": 885
+    },
+    {
+      "entropy": 6.496135663986206,
+      "epoch": 0.7373653686826843,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004445,
+      "loss": 6.447,
+      "mean_token_accuracy": 0.10845504105091094,
+      "num_tokens": 1625577.0,
+      "step": 890
+    },
+    {
+      "entropy": 6.685812950134277,
+      "epoch": 0.7415078707539354,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000447,
+      "loss": 6.533,
+      "mean_token_accuracy": 0.10158233270049095,
+      "num_tokens": 1634902.0,
+      "step": 895
+    },
+    {
+      "entropy": 6.520436191558838,
+      "epoch": 0.7456503728251864,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00044950000000000003,
+      "loss": 6.4674,
+      "mean_token_accuracy": 0.10865833014249801,
+      "num_tokens": 1644131.0,
+      "step": 900
+    },
+    {
+      "entropy": 6.461379718780518,
+      "epoch": 0.7497928748964374,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00045200000000000004,
+      "loss": 6.3694,
+      "mean_token_accuracy": 0.12158194407820702,
+      "num_tokens": 1652272.0,
+      "step": 905
+    },
+    {
+      "entropy": 6.533070278167725,
+      "epoch": 0.7539353769676885,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00045450000000000004,
+      "loss": 6.4632,
+      "mean_token_accuracy": 0.11447574123740197,
+      "num_tokens": 1660962.0,
+      "step": 910
+    },
+    {
+      "entropy": 6.475569725036621,
+      "epoch": 0.7580778790389395,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045700000000000005,
+      "loss": 6.4006,
+      "mean_token_accuracy": 0.11205699220299721,
+      "num_tokens": 1670570.0,
+      "step": 915
+    },
+    {
+      "entropy": 6.526782608032226,
+      "epoch": 0.7622203811101905,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00045950000000000006,
+      "loss": 6.4497,
+      "mean_token_accuracy": 0.1096197433769703,
+      "num_tokens": 1679674.0,
+      "step": 920
+    },
+    {
+      "entropy": 6.530770015716553,
+      "epoch": 0.7663628831814416,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000462,
+      "loss": 6.4324,
+      "mean_token_accuracy": 0.11466658413410187,
+      "num_tokens": 1688849.0,
+      "step": 925
+    },
+    {
+      "entropy": 6.4163538932800295,
+      "epoch": 0.7705053852526926,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004645,
+      "loss": 6.3128,
+      "mean_token_accuracy": 0.1098814107477665,
+      "num_tokens": 1698565.0,
+      "step": 930
+    },
+    {
+      "entropy": 6.5036052703857425,
+      "epoch": 0.7746478873239436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000467,
+      "loss": 6.3986,
+      "mean_token_accuracy": 0.11683695837855339,
+      "num_tokens": 1708009.0,
+      "step": 935
+    },
+    {
+      "entropy": 6.518198871612549,
+      "epoch": 0.7787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004695,
+      "loss": 6.3878,
+      "mean_token_accuracy": 0.1126109592616558,
+      "num_tokens": 1716497.0,
+      "step": 940
+    },
+    {
+      "entropy": 6.415347719192505,
+      "epoch": 0.7829328914664457,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000472,
+      "loss": 6.4082,
+      "mean_token_accuracy": 0.12070046439766884,
+      "num_tokens": 1725609.0,
+      "step": 945
+    },
+    {
+      "entropy": 6.477306175231933,
+      "epoch": 0.7870753935376967,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004745,
+      "loss": 6.3456,
+      "mean_token_accuracy": 0.11454906165599824,
+      "num_tokens": 1734165.0,
+      "step": 950
+    },
+    {
+      "entropy": 6.454520893096924,
+      "epoch": 0.7912178956089478,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000477,
+      "loss": 6.4546,
+      "mean_token_accuracy": 0.10918105840682983,
+      "num_tokens": 1744856.0,
+      "step": 955
+    },
+    {
+      "entropy": 6.4711943626403805,
+      "epoch": 0.7953603976801988,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004795,
+      "loss": 6.4509,
+      "mean_token_accuracy": 0.10578904524445534,
+      "num_tokens": 1753386.0,
+      "step": 960
+    },
+    {
+      "entropy": 6.4536961078643795,
+      "epoch": 0.7995028997514498,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000482,
+      "loss": 6.3053,
+      "mean_token_accuracy": 0.11872726455330848,
+      "num_tokens": 1762521.0,
+      "step": 965
+    },
+    {
+      "entropy": 6.34936490058899,
+      "epoch": 0.8036454018227009,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004845,
+      "loss": 6.3765,
+      "mean_token_accuracy": 0.11444728896021843,
+      "num_tokens": 1772403.0,
+      "step": 970
+    },
+    {
+      "entropy": 6.375087881088257,
+      "epoch": 0.8077879038939519,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000487,
+      "loss": 6.2884,
+      "mean_token_accuracy": 0.11179185584187508,
+      "num_tokens": 1780924.0,
+      "step": 975
+    },
+    {
+      "entropy": 6.547906732559204,
+      "epoch": 0.8119304059652029,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004895,
+      "loss": 6.4367,
+      "mean_token_accuracy": 0.11225800514221192,
+      "num_tokens": 1789992.0,
+      "step": 980
+    },
+    {
+      "entropy": 6.421040678024292,
+      "epoch": 0.816072908036454,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000492,
+      "loss": 6.3919,
+      "mean_token_accuracy": 0.11761699616909027,
+      "num_tokens": 1799513.0,
+      "step": 985
+    },
+    {
+      "entropy": 6.332476711273193,
+      "epoch": 0.820215410107705,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0004945,
+      "loss": 6.2287,
+      "mean_token_accuracy": 0.11279567033052444,
+      "num_tokens": 1807393.0,
+      "step": 990
+    },
+    {
+      "entropy": 6.438618326187134,
+      "epoch": 0.824357912178956,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000497,
+      "loss": 6.5079,
+      "mean_token_accuracy": 0.10579989776015282,
+      "num_tokens": 1817284.0,
+      "step": 995
+    },
+    {
+      "entropy": 6.449818515777588,
+      "epoch": 0.8285004142502072,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004995,
+      "loss": 6.2996,
+      "mean_token_accuracy": 0.11799877136945724,
+      "num_tokens": 1825591.0,
+      "step": 1000
+    },
+    {
+      "epoch": 0.8285004142502072,
+      "eval_entropy": 6.222835092402216,
+      "eval_loss": 6.475013256072998,
+      "eval_mean_token_accuracy": 0.11269166863866961,
+      "eval_num_tokens": 1825591.0,
+      "eval_runtime": 2.7611,
+      "eval_samples_per_second": 1357.068,
+      "eval_steps_per_second": 169.86,
+      "step": 1000
+    },
+    {
+      "entropy": 6.457831478118896,
+      "epoch": 0.8326429163214581,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0004999998547681232,
+      "loss": 6.3959,
+      "mean_token_accuracy": 0.11798396334052086,
+      "num_tokens": 1834655.0,
+      "step": 1005
+    },
+    {
+      "entropy": 6.26599349975586,
+      "epoch": 0.8367854183927091,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004999992647639447,
+      "loss": 6.2578,
+      "mean_token_accuracy": 0.11858200430870056,
+      "num_tokens": 1844187.0,
+      "step": 1010
+    },
+    {
+      "entropy": 6.415271520614624,
+      "epoch": 0.8409279204639603,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999982209116618,
+      "loss": 6.3345,
+      "mean_token_accuracy": 0.11406200677156449,
+      "num_tokens": 1852768.0,
+      "step": 1015
+    },
+    {
+      "entropy": 6.355557584762574,
+      "epoch": 0.8450704225352113,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004999967232133796,
+      "loss": 6.3913,
+      "mean_token_accuracy": 0.12348653748631477,
+      "num_tokens": 1862095.0,
+      "step": 1020
+    },
+    {
+      "entropy": 6.427043008804321,
+      "epoch": 0.8492129246064622,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004999947716721196,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.10961534604430198,
+      "num_tokens": 1871239.0,
+      "step": 1025
+    },
+    {
+      "entropy": 6.509608554840088,
+      "epoch": 0.8533554266777134,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004999923662918179,
+      "loss": 6.4323,
+      "mean_token_accuracy": 0.11334251016378402,
+      "num_tokens": 1880065.0,
+      "step": 1030
+    },
+    {
+      "entropy": 6.417975521087646,
+      "epoch": 0.8574979287489644,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999895070773266,
+      "loss": 6.4608,
+      "mean_token_accuracy": 0.10985229611396789,
+      "num_tokens": 1889065.0,
+      "step": 1035
+    },
+    {
+      "entropy": 6.429206514358521,
+      "epoch": 0.8616404308202155,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999861940344129,
+      "loss": 6.4721,
+      "mean_token_accuracy": 0.11190373301506043,
+      "num_tokens": 1898238.0,
+      "step": 1040
+    },
+    {
+      "entropy": 6.462369585037232,
+      "epoch": 0.8657829328914665,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004999824271697597,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.12136606723070145,
+      "num_tokens": 1906780.0,
+      "step": 1045
+    },
+    {
+      "entropy": 6.506088638305664,
+      "epoch": 0.8699254349627175,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000499978206490965,
+      "loss": 6.4745,
+      "mean_token_accuracy": 0.11197563111782075,
+      "num_tokens": 1916183.0,
+      "step": 1050
+    },
+    {
+      "entropy": 6.427097368240356,
+      "epoch": 0.8740679370339686,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999735320065427,
+      "loss": 6.3371,
+      "mean_token_accuracy": 0.11927392706274986,
+      "num_tokens": 1925382.0,
+      "step": 1055
+    },
+    {
+      "entropy": 6.292429256439209,
+      "epoch": 0.8782104391052196,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999684037259216,
+      "loss": 6.1827,
+      "mean_token_accuracy": 0.1270924136042595,
+      "num_tokens": 1933639.0,
+      "step": 1060
+    },
+    {
+      "entropy": 6.3600146770477295,
+      "epoch": 0.8823529411764706,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999628216594456,
+      "loss": 6.464,
+      "mean_token_accuracy": 0.11409285366535186,
+      "num_tokens": 1943044.0,
+      "step": 1065
+    },
+    {
+      "entropy": 6.460871028900146,
+      "epoch": 0.8864954432477217,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000499956785818375,
+      "loss": 6.303,
+      "mean_token_accuracy": 0.11871922463178634,
+      "num_tokens": 1951777.0,
+      "step": 1070
+    },
+    {
+      "entropy": 6.376981210708618,
+      "epoch": 0.8906379453189727,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004999502962148843,
+      "loss": 6.3666,
+      "mean_token_accuracy": 0.1170460693538189,
+      "num_tokens": 1961356.0,
+      "step": 1075
+    },
+    {
+      "entropy": 6.439280414581299,
+      "epoch": 0.8947804473902237,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000499943352862064,
+      "loss": 6.4248,
+      "mean_token_accuracy": 0.11459407210350037,
+      "num_tokens": 1970341.0,
+      "step": 1080
+    },
+    {
+      "entropy": 6.394289827346801,
+      "epoch": 0.8989229494614748,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004999359557739194,
+      "loss": 6.2796,
+      "mean_token_accuracy": 0.12198276743292809,
+      "num_tokens": 1978576.0,
+      "step": 1085
+    },
+    {
+      "entropy": 6.319045782089233,
+      "epoch": 0.9030654515327258,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004999281049653713,
+      "loss": 6.3227,
+      "mean_token_accuracy": 0.11601013913750649,
+      "num_tokens": 1987229.0,
+      "step": 1090
+    },
+    {
+      "entropy": 6.376017141342163,
+      "epoch": 0.9072079536039768,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999198004522557,
+      "loss": 6.261,
+      "mean_token_accuracy": 0.12269015237689018,
+      "num_tokens": 1996473.0,
+      "step": 1095
+    },
+    {
+      "entropy": 6.2405853271484375,
+      "epoch": 0.9113504556752279,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999110422513237,
+      "loss": 6.286,
+      "mean_token_accuracy": 0.12056776732206345,
+      "num_tokens": 2005551.0,
+      "step": 1100
+    },
+    {
+      "entropy": 6.398191165924072,
+      "epoch": 0.9154929577464789,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999018303802414,
+      "loss": 6.3869,
+      "mean_token_accuracy": 0.11947718560695648,
+      "num_tokens": 2015012.0,
+      "step": 1105
+    },
+    {
+      "entropy": 6.374700450897217,
+      "epoch": 0.9196354598177299,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004998921648575904,
+      "loss": 6.3999,
+      "mean_token_accuracy": 0.1203969657421112,
+      "num_tokens": 2024435.0,
+      "step": 1110
+    },
+    {
+      "entropy": 6.380674362182617,
+      "epoch": 0.923777961888981,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004998820457028669,
+      "loss": 6.3005,
+      "mean_token_accuracy": 0.12089794874191284,
+      "num_tokens": 2033991.0,
+      "step": 1115
+    },
+    {
+      "entropy": 6.409522771835327,
+      "epoch": 0.927920463960232,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998714729364824,
+      "loss": 6.3017,
+      "mean_token_accuracy": 0.1228084571659565,
+      "num_tokens": 2043117.0,
+      "step": 1120
+    },
+    {
+      "entropy": 6.326260423660278,
+      "epoch": 0.932062966031483,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004998604465797634,
+      "loss": 6.3305,
+      "mean_token_accuracy": 0.11992078274488449,
+      "num_tokens": 2052304.0,
+      "step": 1125
+    },
+    {
+      "entropy": 6.251798295974732,
+      "epoch": 0.9362054681027341,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998489666549512,
+      "loss": 6.2779,
+      "mean_token_accuracy": 0.12114684730768203,
+      "num_tokens": 2061217.0,
+      "step": 1130
+    },
+    {
+      "entropy": 6.319644594192505,
+      "epoch": 0.9403479701739851,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.0004998370331852021,
+      "loss": 6.2517,
+      "mean_token_accuracy": 0.11879112273454666,
+      "num_tokens": 2070796.0,
+      "step": 1135
+    },
+    {
+      "entropy": 6.465651321411133,
+      "epoch": 0.9444904722452361,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004998246461945872,
+      "loss": 6.4037,
+      "mean_token_accuracy": 0.12191760018467904,
+      "num_tokens": 2080202.0,
+      "step": 1140
+    },
+    {
+      "entropy": 6.320812797546386,
+      "epoch": 0.9486329743164872,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004998118057080923,
+      "loss": 6.3045,
+      "mean_token_accuracy": 0.11891168132424354,
+      "num_tokens": 2089788.0,
+      "step": 1145
+    },
+    {
+      "entropy": 6.301202344894409,
+      "epoch": 0.9527754763877382,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004997985117516183,
+      "loss": 6.3462,
+      "mean_token_accuracy": 0.11142431199550629,
+      "num_tokens": 2098727.0,
+      "step": 1150
+    },
+    {
+      "entropy": 6.344118309020996,
+      "epoch": 0.9569179784589892,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997847643519803,
+      "loss": 6.226,
+      "mean_token_accuracy": 0.11924557387828827,
+      "num_tokens": 2107645.0,
+      "step": 1155
+    },
+    {
+      "entropy": 6.1790977954864506,
+      "epoch": 0.9610604805302403,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997705635369085,
+      "loss": 6.1991,
+      "mean_token_accuracy": 0.11988648250699044,
+      "num_tokens": 2116613.0,
+      "step": 1160
+    },
+    {
+      "entropy": 6.284418439865112,
+      "epoch": 0.9652029826014913,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004997559093350474,
+      "loss": 6.1881,
+      "mean_token_accuracy": 0.12116428092122078,
+      "num_tokens": 2125585.0,
+      "step": 1165
+    },
+    {
+      "entropy": 6.396596622467041,
+      "epoch": 0.9693454846727423,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004997408017759562,
+      "loss": 6.3359,
+      "mean_token_accuracy": 0.11936862170696258,
+      "num_tokens": 2134795.0,
+      "step": 1170
+    },
+    {
+      "entropy": 6.273751878738404,
+      "epoch": 0.9734879867439934,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004997252408901084,
+      "loss": 6.3271,
+      "mean_token_accuracy": 0.11899949684739113,
+      "num_tokens": 2143699.0,
+      "step": 1175
+    },
+    {
+      "entropy": 6.386678028106689,
+      "epoch": 0.9776304888152444,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004997092267088922,
+      "loss": 6.2707,
+      "mean_token_accuracy": 0.11861606612801552,
+      "num_tokens": 2152187.0,
+      "step": 1180
+    },
+    {
+      "entropy": 6.275117111206055,
+      "epoch": 0.9817729908864954,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004996927592646097,
+      "loss": 6.3412,
+      "mean_token_accuracy": 0.11767763197422028,
+      "num_tokens": 2160941.0,
+      "step": 1185
+    },
+    {
+      "entropy": 6.339710283279419,
+      "epoch": 0.9859154929577465,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004996758385904776,
+      "loss": 6.3119,
+      "mean_token_accuracy": 0.11789651140570641,
+      "num_tokens": 2168946.0,
+      "step": 1190
+    },
+    {
+      "entropy": 6.181374216079712,
+      "epoch": 0.9900579950289975,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004996584647206269,
+      "loss": 6.2237,
+      "mean_token_accuracy": 0.12055367529392243,
+      "num_tokens": 2177662.0,
+      "step": 1195
+    },
+    {
+      "entropy": 6.316773986816406,
+      "epoch": 0.9942004971002486,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004996406376901026,
+      "loss": 6.3268,
+      "mean_token_accuracy": 0.12757316455245019,
+      "num_tokens": 2187461.0,
+      "step": 1200
+    },
+    {
+      "entropy": 6.283385133743286,
+      "epoch": 0.9983429991714996,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004996223575348635,
+      "loss": 6.2207,
+      "mean_token_accuracy": 0.12578138560056687,
+      "num_tokens": 2196878.0,
+      "step": 1205
+    },
+    {
+      "entropy": 6.311019659042358,
+      "epoch": 1.0024855012427507,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004996036242917828,
+      "loss": 6.2021,
+      "mean_token_accuracy": 0.1151522897183895,
+      "num_tokens": 2206178.0,
+      "step": 1210
+    },
+    {
+      "entropy": 6.25421667098999,
+      "epoch": 1.0066280033140016,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004995844379986476,
+      "loss": 6.0526,
+      "mean_token_accuracy": 0.12476176023483276,
+      "num_tokens": 2215330.0,
+      "step": 1215
+    },
+    {
+      "entropy": 6.309921216964722,
+      "epoch": 1.0107705053852527,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004995647986941587,
+      "loss": 6.0354,
+      "mean_token_accuracy": 0.13005029112100602,
+      "num_tokens": 2224146.0,
+      "step": 1220
+    },
+    {
+      "entropy": 6.241363286972046,
+      "epoch": 1.0149130074565038,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004995447064179308,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13421598002314566,
+      "num_tokens": 2233646.0,
+      "step": 1225
+    },
+    {
+      "entropy": 6.058859920501709,
+      "epoch": 1.0190555095277547,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.000499524161210492,
+      "loss": 5.9379,
+      "mean_token_accuracy": 0.12560308948159218,
+      "num_tokens": 2243663.0,
+      "step": 1230
+    },
+    {
+      "entropy": 6.270004224777222,
+      "epoch": 1.0231980115990058,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004995031631132844,
+      "loss": 6.1035,
+      "mean_token_accuracy": 0.13170127123594283,
+      "num_tokens": 2252564.0,
+      "step": 1235
+    },
+    {
+      "entropy": 6.2710247993469235,
+      "epoch": 1.027340513670257,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004994817121686633,
+      "loss": 6.099,
+      "mean_token_accuracy": 0.12465815395116805,
+      "num_tokens": 2262504.0,
+      "step": 1240
+    },
+    {
+      "entropy": 6.193396997451782,
+      "epoch": 1.0314830157415078,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004994598084198979,
+      "loss": 5.9843,
+      "mean_token_accuracy": 0.1374910719692707,
+      "num_tokens": 2270553.0,
+      "step": 1245
+    },
+    {
+      "entropy": 6.136552810668945,
+      "epoch": 1.035625517812759,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004994374519111701,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.1272726461291313,
+      "num_tokens": 2279319.0,
+      "step": 1250
+    },
+    {
+      "entropy": 6.217378282546997,
+      "epoch": 1.03976801988401,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004994146426875757,
+      "loss": 6.123,
+      "mean_token_accuracy": 0.126935476064682,
+      "num_tokens": 2288749.0,
+      "step": 1255
+    },
+    {
+      "entropy": 6.218695068359375,
+      "epoch": 1.043910521955261,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004993913807951232,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.12562426924705505,
+      "num_tokens": 2298272.0,
+      "step": 1260
+    },
+    {
+      "entropy": 6.221994352340698,
+      "epoch": 1.048053024026512,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004993676662807345,
+      "loss": 6.047,
+      "mean_token_accuracy": 0.12884460240602494,
+      "num_tokens": 2307230.0,
+      "step": 1265
+    },
+    {
+      "entropy": 6.183428144454956,
+      "epoch": 1.0521955260977631,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004993434991922443,
+      "loss": 6.1317,
+      "mean_token_accuracy": 0.12460145726799965,
+      "num_tokens": 2316306.0,
+      "step": 1270
+    },
+    {
+      "entropy": 6.22090425491333,
+      "epoch": 1.056338028169014,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004993188795784002,
+      "loss": 6.0531,
+      "mean_token_accuracy": 0.1241947129368782,
+      "num_tokens": 2325672.0,
+      "step": 1275
+    },
+    {
+      "entropy": 6.1453857421875,
+      "epoch": 1.0604805302402651,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004992938074888628,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.1274007849395275,
+      "num_tokens": 2335251.0,
+      "step": 1280
+    },
+    {
+      "entropy": 6.180039167404175,
+      "epoch": 1.0646230323115162,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004992682829742052,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.1308726042509079,
+      "num_tokens": 2344054.0,
+      "step": 1285
+    },
+    {
+      "entropy": 6.086296463012696,
+      "epoch": 1.0687655343827671,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004992423060859132,
+      "loss": 6.0236,
+      "mean_token_accuracy": 0.127706591039896,
+      "num_tokens": 2353493.0,
+      "step": 1290
+    },
+    {
+      "entropy": 6.223158740997315,
+      "epoch": 1.0729080364540182,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004992158768763849,
+      "loss": 6.1321,
+      "mean_token_accuracy": 0.12850543335080147,
+      "num_tokens": 2362687.0,
+      "step": 1295
+    },
+    {
+      "entropy": 6.2506636619567875,
+      "epoch": 1.0770505385252693,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004991889953989308,
+      "loss": 6.0965,
+      "mean_token_accuracy": 0.12563316524028778,
+      "num_tokens": 2372325.0,
+      "step": 1300
+    },
+    {
+      "entropy": 6.173602199554443,
+      "epoch": 1.0811930405965202,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004991616617077741,
+      "loss": 6.12,
+      "mean_token_accuracy": 0.1287991665303707,
+      "num_tokens": 2381987.0,
+      "step": 1305
+    },
+    {
+      "entropy": 6.307486963272095,
+      "epoch": 1.0853355426677713,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004991338758580496,
+      "loss": 6.0234,
+      "mean_token_accuracy": 0.13178783878684044,
+      "num_tokens": 2390901.0,
+      "step": 1310
+    },
+    {
+      "entropy": 6.034789133071899,
+      "epoch": 1.0894780447390224,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004991056379058045,
+      "loss": 6.0813,
+      "mean_token_accuracy": 0.12450421676039695,
+      "num_tokens": 2400756.0,
+      "step": 1315
+    },
+    {
+      "entropy": 6.188017988204956,
+      "epoch": 1.0936205468102733,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004990769479079976,
+      "loss": 5.9232,
+      "mean_token_accuracy": 0.12984196096658707,
+      "num_tokens": 2409526.0,
+      "step": 1320
+    },
+    {
+      "entropy": 6.086554956436157,
+      "epoch": 1.0977630488815244,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004990478059225003,
+      "loss": 6.0931,
+      "mean_token_accuracy": 0.12972966134548186,
+      "num_tokens": 2419583.0,
+      "step": 1325
+    },
+    {
+      "entropy": 6.2457873821258545,
+      "epoch": 1.1019055509527755,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004990182120080945,
+      "loss": 6.0338,
+      "mean_token_accuracy": 0.12990806251764297,
+      "num_tokens": 2429439.0,
+      "step": 1330
+    },
+    {
+      "entropy": 6.078778219223023,
+      "epoch": 1.1060480530240264,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004989881662244748,
+      "loss": 6.0416,
+      "mean_token_accuracy": 0.12380676046013832,
+      "num_tokens": 2438467.0,
+      "step": 1335
+    },
+    {
+      "entropy": 6.138932418823242,
+      "epoch": 1.1101905550952775,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004989576686322468,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.1332716926932335,
+      "num_tokens": 2446619.0,
+      "step": 1340
+    },
+    {
+      "entropy": 6.1281578540802,
+      "epoch": 1.1143330571665286,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004989267192929272,
+      "loss": 6.0379,
+      "mean_token_accuracy": 0.12955363765358924,
+      "num_tokens": 2454998.0,
+      "step": 1345
+    },
+    {
+      "entropy": 6.09554443359375,
+      "epoch": 1.1184755592377795,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004988953182689445,
+      "loss": 6.0072,
+      "mean_token_accuracy": 0.13532012328505516,
+      "num_tokens": 2463497.0,
+      "step": 1350
+    },
+    {
+      "entropy": 6.134703922271728,
+      "epoch": 1.1226180613090306,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004988634656236378,
+      "loss": 5.9216,
+      "mean_token_accuracy": 0.13609320148825646,
+      "num_tokens": 2471763.0,
+      "step": 1355
+    },
+    {
+      "entropy": 6.145527791976929,
+      "epoch": 1.1267605633802817,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004988311614212576,
+      "loss": 6.0016,
+      "mean_token_accuracy": 0.1402701161801815,
+      "num_tokens": 2479949.0,
+      "step": 1360
+    },
+    {
+      "entropy": 6.116470623016357,
+      "epoch": 1.1309030654515326,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004987984057269648,
+      "loss": 6.0539,
+      "mean_token_accuracy": 0.13444141745567323,
+      "num_tokens": 2489097.0,
+      "step": 1365
+    },
+    {
+      "entropy": 5.972180604934692,
+      "epoch": 1.1350455675227837,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004987651986068311,
+      "loss": 5.8781,
+      "mean_token_accuracy": 0.13601028621196748,
+      "num_tokens": 2497625.0,
+      "step": 1370
+    },
+    {
+      "entropy": 6.143597984313965,
+      "epoch": 1.1391880695940348,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004987315401278394,
+      "loss": 6.1252,
+      "mean_token_accuracy": 0.1272761717438698,
+      "num_tokens": 2507107.0,
+      "step": 1375
+    },
+    {
+      "entropy": 6.286170959472656,
+      "epoch": 1.143330571665286,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004986974303578819,
+      "loss": 6.1408,
+      "mean_token_accuracy": 0.12348597794771195,
+      "num_tokens": 2516629.0,
+      "step": 1380
+    },
+    {
+      "entropy": 6.077923250198364,
+      "epoch": 1.1474730737365368,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004986628693657621,
+      "loss": 6.021,
+      "mean_token_accuracy": 0.1280151717364788,
+      "num_tokens": 2525924.0,
+      "step": 1385
+    },
+    {
+      "entropy": 6.229060649871826,
+      "epoch": 1.151615575807788,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004986278572211933,
+      "loss": 6.1723,
+      "mean_token_accuracy": 0.1280426375567913,
+      "num_tokens": 2535586.0,
+      "step": 1390
+    },
+    {
+      "entropy": 6.189875984191895,
+      "epoch": 1.1557580778790388,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004985923939947987,
+      "loss": 6.2595,
+      "mean_token_accuracy": 0.1247698113322258,
+      "num_tokens": 2546685.0,
+      "step": 1395
+    },
+    {
+      "entropy": 6.148470640182495,
+      "epoch": 1.15990057995029,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004985564797581115,
+      "loss": 5.9681,
+      "mean_token_accuracy": 0.12971177995204924,
+      "num_tokens": 2556873.0,
+      "step": 1400
+    },
+    {
+      "entropy": 6.143459701538086,
+      "epoch": 1.164043082021541,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004985201145835747,
+      "loss": 5.9836,
+      "mean_token_accuracy": 0.13127154856920242,
+      "num_tokens": 2565222.0,
+      "step": 1405
+    },
+    {
+      "entropy": 6.031957960128784,
+      "epoch": 1.1681855840927922,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.000498483298544541,
+      "loss": 5.9875,
+      "mean_token_accuracy": 0.13211632743477822,
+      "num_tokens": 2575467.0,
+      "step": 1410
+    },
+    {
+      "entropy": 6.136318731307983,
+      "epoch": 1.172328086164043,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000498446031715272,
+      "loss": 6.0125,
+      "mean_token_accuracy": 0.13508019223809242,
+      "num_tokens": 2583963.0,
+      "step": 1415
+    },
+    {
+      "entropy": 6.133963680267334,
+      "epoch": 1.1764705882352942,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004984083141709391,
+      "loss": 6.042,
+      "mean_token_accuracy": 0.13524071872234344,
+      "num_tokens": 2593350.0,
+      "step": 1420
+    },
+    {
+      "entropy": 5.975436115264893,
+      "epoch": 1.180613090306545,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000498370145987623,
+      "loss": 5.9652,
+      "mean_token_accuracy": 0.13682079091668128,
+      "num_tokens": 2602191.0,
+      "step": 1425
+    },
+    {
+      "entropy": 6.170718050003051,
+      "epoch": 1.1847555923777962,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004983315272423127,
+      "loss": 6.0999,
+      "mean_token_accuracy": 0.1291058838367462,
+      "num_tokens": 2613590.0,
+      "step": 1430
+    },
+    {
+      "entropy": 6.049332237243652,
+      "epoch": 1.1888980944490473,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004982924580129066,
+      "loss": 5.8895,
+      "mean_token_accuracy": 0.1340464949607849,
+      "num_tokens": 2622072.0,
+      "step": 1435
+    },
+    {
+      "entropy": 6.093293142318726,
+      "epoch": 1.1930405965202984,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004982529383782116,
+      "loss": 6.1012,
+      "mean_token_accuracy": 0.13022035285830497,
+      "num_tokens": 2630904.0,
+      "step": 1440
+    },
+    {
+      "entropy": 6.189996242523193,
+      "epoch": 1.1971830985915493,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004982129684179432,
+      "loss": 6.0594,
+      "mean_token_accuracy": 0.13088259026408194,
+      "num_tokens": 2639925.0,
+      "step": 1445
+    },
+    {
+      "entropy": 6.1187131881713865,
+      "epoch": 1.2013256006628004,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004981725482127251,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.13439981341362,
+      "num_tokens": 2649397.0,
+      "step": 1450
+    },
+    {
+      "entropy": 6.16315655708313,
+      "epoch": 1.2054681027340513,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004981316778440892,
+      "loss": 6.081,
+      "mean_token_accuracy": 0.13515593931078912,
+      "num_tokens": 2658877.0,
+      "step": 1455
+    },
+    {
+      "entropy": 6.063838720321655,
+      "epoch": 1.2096106048053024,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004980903573944756,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13121431767940522,
+      "num_tokens": 2668518.0,
+      "step": 1460
+    },
+    {
+      "entropy": 6.059180212020874,
+      "epoch": 1.2137531068765535,
+      "grad_norm": 1.0078125,
+      "learning_rate": 0.0004980485869472322,
+      "loss": 6.1148,
+      "mean_token_accuracy": 0.12996160089969636,
+      "num_tokens": 2677459.0,
+      "step": 1465
+    },
+    {
+      "entropy": 6.223527908325195,
+      "epoch": 1.2178956089478046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004980063665866143,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12482839822769165,
+      "num_tokens": 2686668.0,
+      "step": 1470
+    },
+    {
+      "entropy": 5.935272264480591,
+      "epoch": 1.2220381110190555,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004979636963977853,
+      "loss": 5.8825,
+      "mean_token_accuracy": 0.1352998949587345,
+      "num_tokens": 2695545.0,
+      "step": 1475
+    },
+    {
+      "entropy": 6.066101598739624,
+      "epoch": 1.2261806130903066,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004979205764668156,
+      "loss": 6.0569,
+      "mean_token_accuracy": 0.13228241056203843,
+      "num_tokens": 2705514.0,
+      "step": 1480
+    },
+    {
+      "entropy": 6.138315343856812,
+      "epoch": 1.2303231151615575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004978770068806825,
+      "loss": 5.9599,
+      "mean_token_accuracy": 0.13136665150523186,
+      "num_tokens": 2714373.0,
+      "step": 1485
+    },
+    {
+      "entropy": 6.061770391464234,
+      "epoch": 1.2344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.000497832987727271,
+      "loss": 6.0715,
+      "mean_token_accuracy": 0.1264137916266918,
+      "num_tokens": 2723887.0,
+      "step": 1490
+    },
+    {
+      "entropy": 6.061756038665772,
+      "epoch": 1.2386081193040597,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004977885190953724,
+      "loss": 5.956,
+      "mean_token_accuracy": 0.13353569880127908,
+      "num_tokens": 2733591.0,
+      "step": 1495
+    },
+    {
+      "entropy": 6.104292392730713,
+      "epoch": 1.2427506213753108,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004977436010746846,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.13720986992120743,
+      "num_tokens": 2741638.0,
+      "step": 1500
+    },
+    {
+      "epoch": 1.2427506213753108,
+      "eval_entropy": 6.029743814773397,
+      "eval_loss": 6.2611613273620605,
+      "eval_mean_token_accuracy": 0.12890694399219332,
+      "eval_num_tokens": 2741638.0,
+      "eval_runtime": 2.9518,
+      "eval_samples_per_second": 1269.399,
+      "eval_steps_per_second": 158.887,
+      "step": 1500
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 12060,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 4088562477696000.0,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}
diff --git a/checkpoint-1500/training_args.bin b/checkpoint-1500/training_args.bin
new file mode 100644
index 0000000..47a7b32
--- /dev/null
+++ b/checkpoint-1500/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e406e906697be5d5c4bea7f90a038122ca162eb6b7e40512a32661ef55af9075
+size 6353
diff --git a/checkpoint-2000/added_tokens.json b/checkpoint-2000/added_tokens.json
new file mode 100644
index 0000000..b3dbcdb
--- /dev/null
+++ b/checkpoint-2000/added_tokens.json
@@ -0,0 +1,1202 @@
+{
+  "<pad>": 50002,
+  "[CLS]": 50000,
+  "[MASK]": 50003,
+  "[SEP]": 50001,
+  "[XXXXX0]": 50771,
+  "[XXXXX1000]": 50549,
+  "[XXXXX1001]": 50657,
+  "[XXXXX1002]": 51158,
+  "[XXXXX1003]": 51044,
+  "[XXXXX1004]": 50688,
+  "[XXXXX1005]": 50689,
+  "[XXXXX1006]": 50410,
+  "[XXXXX1007]": 50724,
+  "[XXXXX1008]": 50171,
+  "[XXXXX1009]": 51077,
+  "[XXXXX100]": 50091,
+  "[XXXXX1010]": 50639,
+  "[XXXXX1011]": 51094,
+  "[XXXXX1012]": 50392,
+  "[XXXXX1013]": 50626,
+  "[XXXXX1014]": 50991,
+  "[XXXXX1015]": 50529,
+  "[XXXXX1016]": 51193,
+  "[XXXXX1017]": 51073,
+  "[XXXXX1018]": 51104,
+  "[XXXXX1019]": 50775,
+  "[XXXXX101]": 50139,
+  "[XXXXX1020]": 50157,
+  "[XXXXX1021]": 50934,
+  "[XXXXX1022]": 51159,
+  "[XXXXX1023]": 50048,
+  "[XXXXX1024]": 51123,
+  "[XXXXX1025]": 50084,
+  "[XXXXX1026]": 50813,
+  "[XXXXX1027]": 50725,
+  "[XXXXX1028]": 50931,
+  "[XXXXX1029]": 50233,
+  "[XXXXX102]": 50213,
+  "[XXXXX1030]": 51023,
+  "[XXXXX1031]": 50098,
+  "[XXXXX1032]": 50802,
+  "[XXXXX1033]": 50061,
+  "[XXXXX1034]": 51139,
+  "[XXXXX1035]": 51110,
+  "[XXXXX1036]": 50204,
+  "[XXXXX1037]": 50023,
+  "[XXXXX1038]": 50142,
+  "[XXXXX1039]": 50328,
+  "[XXXXX103]": 50087,
+  "[XXXXX1040]": 50435,
+  "[XXXXX1041]": 50489,
+  "[XXXXX1042]": 50216,
+  "[XXXXX1043]": 50144,
+  "[XXXXX1044]": 50832,
+  "[XXXXX1045]": 50566,
+  "[XXXXX1046]": 50922,
+  "[XXXXX1047]": 50796,
+  "[XXXXX1048]": 50533,
+  "[XXXXX1049]": 50433,
+  "[XXXXX104]": 50478,
+  "[XXXXX1050]": 50953,
+  "[XXXXX1051]": 50497,
+  "[XXXXX1052]": 50655,
+  "[XXXXX1053]": 50881,
+  "[XXXXX1054]": 50461,
+  "[XXXXX1055]": 50052,
+  "[XXXXX1056]": 50219,
+  "[XXXXX1057]": 50789,
+  "[XXXXX1058]": 50121,
+  "[XXXXX1059]": 51002,
+  "[XXXXX105]": 51192,
+  "[XXXXX1060]": 50158,
+  "[XXXXX1061]": 50352,
+  "[XXXXX1062]": 50637,
+  "[XXXXX1063]": 50440,
+  "[XXXXX1064]": 50590,
+  "[XXXXX1065]": 51107,
+  "[XXXXX1066]": 50758,
+  "[XXXXX1067]": 51011,
+  "[XXXXX1068]": 50985,
+  "[XXXXX1069]": 51175,
+  "[XXXXX106]": 50532,
+  "[XXXXX1070]": 50790,
+  "[XXXXX1071]": 50394,
+  "[XXXXX1072]": 50852,
+  "[XXXXX1073]": 50869,
+  "[XXXXX1074]": 50126,
+  "[XXXXX1075]": 50783,
+  "[XXXXX1076]": 50806,
+  "[XXXXX1077]": 50882,
+  "[XXXXX1078]": 50726,
+  "[XXXXX1079]": 51010,
+  "[XXXXX107]": 50714,
+  "[XXXXX1080]": 50168,
+  "[XXXXX1081]": 50425,
+  "[XXXXX1082]": 50848,
+  "[XXXXX1083]": 50014,
+  "[XXXXX1084]": 50341,
+  "[XXXXX1085]": 50734,
+  "[XXXXX1086]": 50664,
+  "[XXXXX1087]": 51007,
+  "[XXXXX1088]": 51151,
+  "[XXXXX1089]": 50269,
+  "[XXXXX108]": 50996,
+  "[XXXXX1090]": 50826,
+  "[XXXXX1091]": 51105,
+  "[XXXXX1092]": 50731,
+  "[XXXXX1093]": 50856,
+  "[XXXXX1094]": 50369,
+  "[XXXXX1095]": 50065,
+  "[XXXXX1096]": 50309,
+  "[XXXXX1097]": 50838,
+  "[XXXXX1098]": 50451,
+  "[XXXXX1099]": 50384,
+  "[XXXXX109]": 50543,
+  "[XXXXX10]": 50325,
+  "[XXXXX1100]": 50318,
+  "[XXXXX1101]": 50764,
+  "[XXXXX1102]": 51025,
+  "[XXXXX1103]": 50642,
+  "[XXXXX1104]": 50665,
+  "[XXXXX1105]": 50855,
+  "[XXXXX1106]": 51063,
+  "[XXXXX1107]": 50025,
+  "[XXXXX1108]": 50122,
+  "[XXXXX1109]": 50470,
+  "[XXXXX110]": 50062,
+  "[XXXXX1110]": 51019,
+  "[XXXXX1111]": 51124,
+  "[XXXXX1112]": 50146,
+  "[XXXXX1113]": 51125,
+  "[XXXXX1114]": 50434,
+  "[XXXXX1115]": 50818,
+  "[XXXXX1116]": 50960,
+  "[XXXXX1117]": 50258,
+  "[XXXXX1118]": 50596,
+  "[XXXXX1119]": 50083,
+  "[XXXXX111]": 51064,
+  "[XXXXX1120]": 50915,
+  "[XXXXX1121]": 50835,
+  "[XXXXX1122]": 51056,
+  "[XXXXX1123]": 50172,
+  "[XXXXX1124]": 50972,
+  "[XXXXX1125]": 50275,
+  "[XXXXX1126]": 50430,
+  "[XXXXX1127]": 50743,
+  "[XXXXX1128]": 50551,
+  "[XXXXX1129]": 50439,
+  "[XXXXX112]": 50819,
+  "[XXXXX1130]": 50536,
+  "[XXXXX1131]": 50622,
+  "[XXXXX1132]": 50623,
+  "[XXXXX1133]": 50117,
+  "[XXXXX1134]": 50251,
+  "[XXXXX1135]": 50678,
+  "[XXXXX1136]": 50316,
+  "[XXXXX1137]": 50905,
+  "[XXXXX1138]": 50992,
+  "[XXXXX1139]": 50851,
+  "[XXXXX113]": 50443,
+  "[XXXXX1140]": 50499,
+  "[XXXXX1141]": 50629,
+  "[XXXXX1142]": 50944,
+  "[XXXXX1143]": 50373,
+  "[XXXXX1144]": 50123,
+  "[XXXXX1145]": 50173,
+  "[XXXXX1146]": 50891,
+  "[XXXXX1147]": 50471,
+  "[XXXXX1148]": 50560,
+  "[XXXXX1149]": 50541,
+  "[XXXXX114]": 50631,
+  "[XXXXX1150]": 50033,
+  "[XXXXX1151]": 50063,
+  "[XXXXX1152]": 50767,
+  "[XXXXX1153]": 50897,
+  "[XXXXX1154]": 50568,
+  "[XXXXX1155]": 51131,
+  "[XXXXX1156]": 50009,
+  "[XXXXX1157]": 50417,
+  "[XXXXX1158]": 50477,
+  "[XXXXX1159]": 50941,
+  "[XXXXX115]": 50294,
+  "[XXXXX1160]": 50679,
+  "[XXXXX1161]": 51108,
+  "[XXXXX1162]": 50332,
+  "[XXXXX1163]": 50424,
+  "[XXXXX1164]": 50473,
+  "[XXXXX1165]": 50793,
+  "[XXXXX1166]": 50453,
+  "[XXXXX1167]": 50807,
+  "[XXXXX1168]": 50128,
+  "[XXXXX1169]": 50039,
+  "[XXXXX116]": 50759,
+  "[XXXXX1170]": 50735,
+  "[XXXXX1171]": 50366,
+  "[XXXXX1172]": 50808,
+  "[XXXXX1173]": 50426,
+  "[XXXXX1174]": 50076,
+  "[XXXXX1175]": 50943,
+  "[XXXXX1176]": 50252,
+  "[XXXXX1177]": 50999,
+  "[XXXXX1178]": 50264,
+  "[XXXXX1179]": 50607,
+  "[XXXXX117]": 51036,
+  "[XXXXX1180]": 50986,
+  "[XXXXX1181]": 50744,
+  "[XXXXX1182]": 50186,
+  "[XXXXX1183]": 50555,
+  "[XXXXX1184]": 51076,
+  "[XXXXX1185]": 50849,
+  "[XXXXX1186]": 51128,
+  "[XXXXX1187]": 50858,
+  "[XXXXX1188]": 50656,
+  "[XXXXX1189]": 50064,
+  "[XXXXX118]": 50081,
+  "[XXXXX1190]": 51197,
+  "[XXXXX1191]": 50104,
+  "[XXXXX1192]": 50045,
+  "[XXXXX1193]": 50404,
+  "[XXXXX1194]": 50690,
+  "[XXXXX1195]": 50495,
+  "[XXXXX119]": 50108,
+  "[XXXXX11]": 50976,
+  "[XXXXX120]": 51081,
+  "[XXXXX121]": 50464,
+  "[XXXXX122]": 50829,
+  "[XXXXX123]": 50766,
+  "[XXXXX124]": 50732,
+  "[XXXXX125]": 50221,
+  "[XXXXX126]": 50810,
+  "[XXXXX127]": 50130,
+  "[XXXXX128]": 50751,
+  "[XXXXX129]": 50662,
+  "[XXXXX12]": 50602,
+  "[XXXXX130]": 50035,
+  "[XXXXX131]": 50715,
+  "[XXXXX132]": 50340,
+  "[XXXXX133]": 50563,
+  "[XXXXX134]": 50993,
+  "[XXXXX135]": 50304,
+  "[XXXXX136]": 50131,
+  "[XXXXX137]": 50578,
+  "[XXXXX138]": 50757,
+  "[XXXXX139]": 50582,
+  "[XXXXX13]": 50105,
+  "[XXXXX140]": 50085,
+  "[XXXXX141]": 50553,
+  "[XXXXX142]": 50749,
+  "[XXXXX143]": 50351,
+  "[XXXXX144]": 51024,
+  "[XXXXX145]": 51144,
+  "[XXXXX146]": 50042,
+  "[XXXXX147]": 50145,
+  "[XXXXX148]": 50066,
+  "[XXXXX149]": 50876,
+  "[XXXXX14]": 51006,
+  "[XXXXX150]": 50280,
+  "[XXXXX151]": 50093,
+  "[XXXXX152]": 50638,
+  "[XXXXX153]": 50684,
+  "[XXXXX154]": 50820,
+  "[XXXXX155]": 51196,
+  "[XXXXX156]": 50317,
+  "[XXXXX157]": 50284,
+  "[XXXXX158]": 50288,
+  "[XXXXX159]": 50814,
+  "[XXXXX15]": 50608,
+  "[XXXXX160]": 50004,
+  "[XXXXX161]": 50008,
+  "[XXXXX162]": 50377,
+  "[XXXXX163]": 50214,
+  "[XXXXX164]": 50708,
+  "[XXXXX165]": 50390,
+  "[XXXXX166]": 50741,
+  "[XXXXX167]": 50445,
+  "[XXXXX168]": 50936,
+  "[XXXXX169]": 50896,
+  "[XXXXX16]": 50442,
+  "[XXXXX170]": 50109,
+  "[XXXXX171]": 50140,
+  "[XXXXX172]": 50427,
+  "[XXXXX173]": 51074,
+  "[XXXXX174]": 50162,
+  "[XXXXX175]": 51015,
+  "[XXXXX176]": 50524,
+  "[XXXXX177]": 50673,
+  "[XXXXX178]": 50054,
+  "[XXXXX179]": 50805,
+  "[XXXXX17]": 50482,
+  "[XXXXX180]": 50253,
+  "[XXXXX181]": 50493,
+  "[XXXXX182]": 50421,
+  "[XXXXX183]": 51050,
+  "[XXXXX184]": 50521,
+  "[XXXXX185]": 50188,
+  "[XXXXX186]": 50147,
+  "[XXXXX187]": 50201,
+  "[XXXXX188]": 50973,
+  "[XXXXX189]": 50409,
+  "[XXXXX18]": 50115,
+  "[XXXXX190]": 50051,
+  "[XXXXX191]": 51020,
+  "[XXXXX192]": 51047,
+  "[XXXXX193]": 50669,
+  "[XXXXX194]": 50643,
+  "[XXXXX195]": 50159,
+  "[XXXXX196]": 50649,
+  "[XXXXX197]": 51178,
+  "[XXXXX198]": 50043,
+  "[XXXXX199]": 51147,
+  "[XXXXX19]": 51127,
+  "[XXXXX1]": 51114,
+  "[XXXXX200]": 50840,
+  "[XXXXX201]": 50365,
+  "[XXXXX202]": 50232,
+  "[XXXXX203]": 50241,
+  "[XXXXX204]": 50548,
+  "[XXXXX205]": 50781,
+  "[XXXXX206]": 50923,
+  "[XXXXX207]": 51115,
+  "[XXXXX208]": 50344,
+  "[XXXXX209]": 50299,
+  "[XXXXX20]": 51031,
+  "[XXXXX210]": 51179,
+  "[XXXXX211]": 51163,
+  "[XXXXX212]": 50562,
+  "[XXXXX213]": 50094,
+  "[XXXXX214]": 50257,
+  "[XXXXX215]": 50967,
+  "[XXXXX216]": 50523,
+  "[XXXXX217]": 51132,
+  "[XXXXX218]": 51146,
+  "[XXXXX219]": 50411,
+  "[XXXXX21]": 50354,
+  "[XXXXX220]": 50853,
+  "[XXXXX221]": 50886,
+  "[XXXXX222]": 50600,
+  "[XXXXX223]": 50873,
+  "[XXXXX224]": 50416,
+  "[XXXXX225]": 50675,
+  "[XXXXX226]": 50583,
+  "[XXXXX227]": 50151,
+  "[XXXXX228]": 50927,
+  "[XXXXX229]": 50609,
+  "[XXXXX22]": 50589,
+  "[XXXXX230]": 50238,
+  "[XXXXX231]": 50242,
+  "[XXXXX232]": 51016,
+  "[XXXXX233]": 50406,
+  "[XXXXX234]": 50908,
+  "[XXXXX235]": 50024,
+  "[XXXXX236]": 50270,
+  "[XXXXX237]": 50132,
+  "[XXXXX238]": 50800,
+  "[XXXXX239]": 50236,
+  "[XXXXX23]": 50007,
+  "[XXXXX240]": 50005,
+  "[XXXXX241]": 50894,
+  "[XXXXX242]": 50694,
+  "[XXXXX243]": 51071,
+  "[XXXXX244]": 51017,
+  "[XXXXX245]": 50068,
+  "[XXXXX246]": 50682,
+  "[XXXXX247]": 50913,
+  "[XXXXX248]": 51028,
+  "[XXXXX249]": 50037,
+  "[XXXXX24]": 51169,
+  "[XXXXX250]": 50747,
+  "[XXXXX251]": 50947,
+  "[XXXXX252]": 50329,
+  "[XXXXX253]": 50612,
+  "[XXXXX254]": 50110,
+  "[XXXXX255]": 50824,
+  "[XXXXX256]": 50558,
+  "[XXXXX257]": 50969,
+  "[XXXXX258]": 50729,
+  "[XXXXX259]": 50125,
+  "[XXXXX25]": 51160,
+  "[XXXXX260]": 50040,
+  "[XXXXX261]": 51038,
+  "[XXXXX262]": 50347,
+  "[XXXXX263]": 50740,
+  "[XXXXX264]": 51195,
+  "[XXXXX265]": 50879,
+  "[XXXXX266]": 50770,
+  "[XXXXX267]": 50178,
+  "[XXXXX268]": 50804,
+  "[XXXXX269]": 50906,
+  "[XXXXX26]": 50150,
+  "[XXXXX270]": 51191,
+  "[XXXXX271]": 50047,
+  "[XXXXX272]": 50195,
+  "[XXXXX273]": 50554,
+  "[XXXXX274]": 50833,
+  "[XXXXX275]": 50346,
+  "[XXXXX276]": 50950,
+  "[XXXXX277]": 50864,
+  "[XXXXX278]": 50259,
+  "[XXXXX279]": 50671,
+  "[XXXXX27]": 50468,
+  "[XXXXX280]": 50082,
+  "[XXXXX281]": 50565,
+  "[XXXXX282]": 50984,
+  "[XXXXX283]": 50650,
+  "[XXXXX284]": 50975,
+  "[XXXXX285]": 50603,
+  "[XXXXX286]": 50027,
+  "[XXXXX287]": 50181,
+  "[XXXXX288]": 50981,
+  "[XXXXX289]": 50885,
+  "[XXXXX28]": 50249,
+  "[XXXXX290]": 50522,
+  "[XXXXX291]": 50050,
+  "[XXXXX292]": 50313,
+  "[XXXXX293]": 50503,
+  "[XXXXX294]": 51176,
+  "[XXXXX295]": 51177,
+  "[XXXXX296]": 50379,
+  "[XXXXX297]": 50635,
+  "[XXXXX298]": 50723,
+  "[XXXXX299]": 50200,
+  "[XXXXX29]": 50892,
+  "[XXXXX2]": 51119,
+  "[XXXXX300]": 51026,
+  "[XXXXX301]": 50528,
+  "[XXXXX302]": 51149,
+  "[XXXXX303]": 50044,
+  "[XXXXX304]": 50209,
+  "[XXXXX305]": 50988,
+  "[XXXXX306]": 50518,
+  "[XXXXX307]": 50088,
+  "[XXXXX308]": 50733,
+  "[XXXXX309]": 51066,
+  "[XXXXX30]": 50506,
+  "[XXXXX310]": 50285,
+  "[XXXXX311]": 50859,
+  "[XXXXX312]": 50263,
+  "[XXXXX313]": 50594,
+  "[XXXXX314]": 51103,
+  "[XXXXX315]": 50871,
+  "[XXXXX316]": 50300,
+  "[XXXXX317]": 50760,
+  "[XXXXX318]": 50055,
+  "[XXXXX319]": 50389,
+  "[XXXXX31]": 50212,
+  "[XXXXX320]": 50444,
+  "[XXXXX321]": 50994,
+  "[XXXXX322]": 50281,
+  "[XXXXX323]": 50179,
+  "[XXXXX324]": 50455,
+  "[XXXXX325]": 50970,
+  "[XXXXX326]": 50666,
+  "[XXXXX327]": 50604,
+  "[XXXXX328]": 50627,
+  "[XXXXX329]": 50475,
+  "[XXXXX32]": 50277,
+  "[XXXXX330]": 50667,
+  "[XXXXX331]": 50348,
+  "[XXXXX332]": 50772,
+  "[XXXXX333]": 50163,
+  "[XXXXX334]": 50569,
+  "[XXXXX335]": 50018,
+  "[XXXXX336]": 50883,
+  "[XXXXX337]": 50067,
+  "[XXXXX338]": 51184,
+  "[XXXXX339]": 50997,
+  "[XXXXX33]": 50403,
+  "[XXXXX340]": 51013,
+  "[XXXXX341]": 50957,
+  "[XXXXX342]": 51106,
+  "[XXXXX343]": 51174,
+  "[XXXXX344]": 50391,
+  "[XXXXX345]": 50948,
+  "[XXXXX346]": 50180,
+  "[XXXXX347]": 50811,
+  "[XXXXX348]": 50401,
+  "[XXXXX349]": 50911,
+  "[XXXXX34]": 50223,
+  "[XXXXX350]": 51089,
+  "[XXXXX351]": 50777,
+  "[XXXXX352]": 50189,
+  "[XXXXX353]": 50492,
+  "[XXXXX354]": 50205,
+  "[XXXXX355]": 50374,
+  "[XXXXX356]": 51152,
+  "[XXXXX357]": 50695,
+  "[XXXXX358]": 51117,
+  "[XXXXX359]": 50573,
+  "[XXXXX35]": 50752,
+  "[XXXXX360]": 50955,
+  "[XXXXX361]": 50349,
+  "[XXXXX362]": 51137,
+  "[XXXXX363]": 50641,
+  "[XXXXX364]": 51148,
+  "[XXXXX365]": 50255,
+  "[XXXXX366]": 50310,
+  "[XXXXX367]": 50314,
+  "[XXXXX368]": 50971,
+  "[XXXXX369]": 50916,
+  "[XXXXX36]": 50437,
+  "[XXXXX370]": 51096,
+  "[XXXXX371]": 50557,
+  "[XXXXX372]": 51095,
+  "[XXXXX373]": 50382,
+  "[XXXXX374]": 50119,
+  "[XXXXX375]": 50958,
+  "[XXXXX376]": 50624,
+  "[XXXXX377]": 50483,
+  "[XXXXX378]": 50605,
+  "[XXXXX379]": 50017,
+  "[XXXXX37]": 50706,
+  "[XXXXX380]": 50246,
+  "[XXXXX381]": 50588,
+  "[XXXXX382]": 51008,
+  "[XXXXX383]": 50801,
+  "[XXXXX384]": 50290,
+  "[XXXXX385]": 50899,
+  "[XXXXX386]": 50206,
+  "[XXXXX387]": 50716,
+  "[XXXXX388]": 51082,
+  "[XXXXX389]": 50177,
+  "[XXXXX38]": 50736,
+  "[XXXXX390]": 50282,
+  "[XXXXX391]": 51183,
+  "[XXXXX392]": 50286,
+  "[XXXXX393]": 50659,
+  "[XXXXX394]": 50378,
+  "[XXXXX395]": 50709,
+  "[XXXXX396]": 50028,
+  "[XXXXX397]": 50235,
+  "[XXXXX398]": 51014,
+  "[XXXXX399]": 50880,
+  "[XXXXX39]": 50305,
+  "[XXXXX3]": 50077,
+  "[XXXXX400]": 50155,
+  "[XXXXX401]": 50710,
+  "[XXXXX402]": 50507,
+  "[XXXXX403]": 50860,
+  "[XXXXX404]": 50661,
+  "[XXXXX405]": 51083,
+  "[XXXXX406]": 50888,
+  "[XXXXX407]": 50069,
+  "[XXXXX408]": 50691,
+  "[XXXXX409]": 51055,
+  "[XXXXX40]": 50337,
+  "[XXXXX410]": 50137,
+  "[XXXXX411]": 50791,
+  "[XXXXX412]": 50136,
+  "[XXXXX413]": 50730,
+  "[XXXXX414]": 50267,
+  "[XXXXX415]": 50012,
+  "[XXXXX416]": 50681,
+  "[XXXXX417]": 50942,
+  "[XXXXX418]": 50720,
+  "[XXXXX419]": 50844,
+  "[XXXXX41]": 50387,
+  "[XXXXX420]": 50111,
+  "[XXXXX421]": 51003,
+  "[XXXXX422]": 50785,
+  "[XXXXX423]": 50149,
+  "[XXXXX424]": 50422,
+  "[XXXXX425]": 51086,
+  "[XXXXX426]": 50862,
+  "[XXXXX427]": 50576,
+  "[XXXXX428]": 51049,
+  "[XXXXX429]": 50630,
+  "[XXXXX42]": 50799,
+  "[XXXXX430]": 50289,
+  "[XXXXX431]": 50184,
+  "[XXXXX432]": 50319,
+  "[XXXXX433]": 51116,
+  "[XXXXX434]": 50519,
+  "[XXXXX435]": 50496,
+  "[XXXXX436]": 50517,
+  "[XXXXX437]": 50865,
+  "[XXXXX438]": 50737,
+  "[XXXXX439]": 50356,
+  "[XXXXX43]": 50359,
+  "[XXXXX440]": 50898,
+  "[XXXXX441]": 50113,
+  "[XXXXX442]": 50527,
+  "[XXXXX443]": 50762,
+  "[XXXXX444]": 50540,
+  "[XXXXX445]": 50925,
+  "[XXXXX446]": 50711,
+  "[XXXXX447]": 50143,
+  "[XXXXX448]": 51170,
+  "[XXXXX449]": 50413,
+  "[XXXXX44]": 50097,
+  "[XXXXX450]": 50375,
+  "[XXXXX451]": 50846,
+  "[XXXXX452]": 50217,
+  "[XXXXX453]": 50699,
+  "[XXXXX454]": 50412,
+  "[XXXXX455]": 50418,
+  "[XXXXX456]": 51143,
+  "[XXXXX457]": 51141,
+  "[XXXXX458]": 51157,
+  "[XXXXX459]": 50825,
+  "[XXXXX45]": 50203,
+  "[XXXXX460]": 50194,
+  "[XXXXX461]": 50148,
+  "[XXXXX462]": 50276,
+  "[XXXXX463]": 50271,
+  "[XXXXX464]": 50836,
+  "[XXXXX465]": 50854,
+  "[XXXXX466]": 50164,
+  "[XXXXX467]": 50484,
+  "[XXXXX468]": 51097,
+  "[XXXXX469]": 50182,
+  "[XXXXX46]": 50505,
+  "[XXXXX470]": 50670,
+  "[XXXXX471]": 50595,
+  "[XXXXX472]": 50237,
+  "[XXXXX473]": 50057,
+  "[XXXXX474]": 50431,
+  "[XXXXX475]": 50738,
+  "[XXXXX476]": 51145,
+  "[XXXXX477]": 50247,
+  "[XXXXX478]": 50029,
+  "[XXXXX479]": 50917,
+  "[XXXXX47]": 50579,
+  "[XXXXX480]": 50702,
+  "[XXXXX481]": 50831,
+  "[XXXXX482]": 50753,
+  "[XXXXX483]": 50598,
+  "[XXXXX484]": 51136,
+  "[XXXXX485]": 50092,
+  "[XXXXX486]": 50202,
+  "[XXXXX487]": 50106,
+  "[XXXXX488]": 50924,
+  "[XXXXX489]": 51113,
+  "[XXXXX48]": 50842,
+  "[XXXXX490]": 50761,
+  "[XXXXX491]": 50577,
+  "[XXXXX492]": 50692,
+  "[XXXXX493]": 51130,
+  "[XXXXX494]": 50932,
+  "[XXXXX495]": 50837,
+  "[XXXXX496]": 50893,
+  "[XXXXX497]": 50773,
+  "[XXXXX498]": 50360,
+  "[XXXXX499]": 50900,
+  "[XXXXX49]": 51062,
+  "[XXXXX4]": 50396,
+  "[XXXXX500]": 51034,
+  "[XXXXX501]": 50472,
+  "[XXXXX502]": 50660,
+  "[XXXXX503]": 50815,
+  "[XXXXX504]": 50939,
+  "[XXXXX505]": 50419,
+  "[XXXXX506]": 50324,
+  "[XXXXX507]": 50428,
+  "[XXXXX508]": 50274,
+  "[XXXXX509]": 50311,
+  "[XXXXX50]": 50459,
+  "[XXXXX510]": 50674,
+  "[XXXXX511]": 50580,
+  "[XXXXX512]": 50956,
+  "[XXXXX513]": 50165,
+  "[XXXXX514]": 50320,
+  "[XXXXX515]": 50648,
+  "[XXXXX516]": 50386,
+  "[XXXXX517]": 50058,
+  "[XXXXX518]": 51045,
+  "[XXXXX519]": 50103,
+  "[XXXXX51]": 50979,
+  "[XXXXX520]": 50530,
+  "[XXXXX521]": 50907,
+  "[XXXXX522]": 50260,
+  "[XXXXX523]": 50632,
+  "[XXXXX524]": 50926,
+  "[XXXXX525]": 50687,
+  "[XXXXX526]": 50160,
+  "[XXXXX527]": 51053,
+  "[XXXXX528]": 50652,
+  "[XXXXX529]": 51041,
+  "[XXXXX52]": 50272,
+  "[XXXXX530]": 51111,
+  "[XXXXX531]": 51009,
+  "[XXXXX532]": 51079,
+  "[XXXXX533]": 50487,
+  "[XXXXX534]": 51059,
+  "[XXXXX535]": 50335,
+  "[XXXXX536]": 50380,
+  "[XXXXX537]": 50301,
+  "[XXXXX538]": 51067,
+  "[XXXXX539]": 51052,
+  "[XXXXX53]": 51048,
+  "[XXXXX540]": 50822,
+  "[XXXXX541]": 51040,
+  "[XXXXX542]": 50490,
+  "[XXXXX543]": 50448,
+  "[XXXXX544]": 50812,
+  "[XXXXX545]": 50099,
+  "[XXXXX546]": 51199,
+  "[XXXXX547]": 50226,
+  "[XXXXX548]": 50538,
+  "[XXXXX549]": 50342,
+  "[XXXXX54]": 50701,
+  "[XXXXX550]": 50544,
+  "[XXXXX551]": 50398,
+  "[XXXXX552]": 51102,
+  "[XXXXX553]": 50919,
+  "[XXXXX554]": 50615,
+  "[XXXXX555]": 50769,
+  "[XXXXX556]": 50940,
+  "[XXXXX557]": 50070,
+  "[XXXXX558]": 50680,
+  "[XXXXX559]": 50611,
+  "[XXXXX55]": 50574,
+  "[XXXXX560]": 50381,
+  "[XXXXX561]": 50350,
+  "[XXXXX562]": 50175,
+  "[XXXXX563]": 50584,
+  "[XXXXX564]": 50703,
+  "[XXXXX565]": 50989,
+  "[XXXXX566]": 50877,
+  "[XXXXX567]": 51039,
+  "[XXXXX568]": 51018,
+  "[XXXXX569]": 50452,
+  "[XXXXX56]": 51099,
+  "[XXXXX570]": 50161,
+  "[XXXXX571]": 50921,
+  "[XXXXX572]": 50676,
+  "[XXXXX573]": 50326,
+  "[XXXXX574]": 50987,
+  "[XXXXX575]": 50361,
+  "[XXXXX576]": 50071,
+  "[XXXXX577]": 50803,
+  "[XXXXX578]": 50400,
+  "[XXXXX579]": 51091,
+  "[XXXXX57]": 50501,
+  "[XXXXX580]": 50887,
+  "[XXXXX581]": 50839,
+  "[XXXXX582]": 51138,
+  "[XXXXX583]": 50816,
+  "[XXXXX584]": 50339,
+  "[XXXXX585]": 50463,
+  "[XXXXX586]": 50399,
+  "[XXXXX587]": 51070,
+  "[XXXXX588]": 50457,
+  "[XXXXX589]": 50828,
+  "[XXXXX58]": 50183,
+  "[XXXXX590]": 50080,
+  "[XXXXX591]": 50550,
+  "[XXXXX592]": 50129,
+  "[XXXXX593]": 50273,
+  "[XXXXX594]": 50388,
+  "[XXXXX595]": 50491,
+  "[XXXXX596]": 50278,
+  "[XXXXX597]": 50011,
+  "[XXXXX598]": 50254,
+  "[XXXXX599]": 50302,
+  "[XXXXX59]": 50353,
+  "[XXXXX5]": 50010,
+  "[XXXXX600]": 50704,
+  "[XXXXX601]": 51118,
+  "[XXXXX602]": 50049,
+  "[XXXXX603]": 51190,
+  "[XXXXX604]": 51142,
+  "[XXXXX605]": 50707,
+  "[XXXXX606]": 50937,
+  "[XXXXX607]": 50875,
+  "[XXXXX608]": 50564,
+  "[XXXXX609]": 50345,
+  "[XXXXX60]": 50713,
+  "[XXXXX610]": 50949,
+  "[XXXXX611]": 50978,
+  "[XXXXX612]": 50330,
+  "[XXXXX613]": 51035,
+  "[XXXXX614]": 50402,
+  "[XXXXX615]": 50176,
+  "[XXXXX616]": 51133,
+  "[XXXXX617]": 50222,
+  "[XXXXX618]": 50118,
+  "[XXXXX619]": 50196,
+  "[XXXXX61]": 50298,
+  "[XXXXX620]": 50668,
+  "[XXXXX621]": 50462,
+  "[XXXXX622]": 50218,
+  "[XXXXX623]": 51101,
+  "[XXXXX624]": 50362,
+  "[XXXXX625]": 50779,
+  "[XXXXX626]": 50513,
+  "[XXXXX627]": 50746,
+  "[XXXXX628]": 50141,
+  "[XXXXX629]": 50479,
+  "[XXXXX62]": 50056,
+  "[XXXXX630]": 51180,
+  "[XXXXX631]": 50872,
+  "[XXXXX632]": 50315,
+  "[XXXXX633]": 50397,
+  "[XXXXX634]": 51165,
+  "[XXXXX635]": 50046,
+  "[XXXXX636]": 50795,
+  "[XXXXX637]": 50959,
+  "[XXXXX638]": 50786,
+  "[XXXXX639]": 50240,
+  "[XXXXX63]": 51061,
+  "[XXXXX640]": 50601,
+  "[XXXXX641]": 50904,
+  "[XXXXX642]": 50376,
+  "[XXXXX643]": 50663,
+  "[XXXXX644]": 50613,
+  "[XXXXX645]": 50467,
+  "[XXXXX646]": 50546,
+  "[XXXXX647]": 50465,
+  "[XXXXX648]": 50395,
+  "[XXXXX649]": 50287,
+  "[XXXXX64]": 51162,
+  "[XXXXX650]": 50474,
+  "[XXXXX651]": 50727,
+  "[XXXXX652]": 50243,
+  "[XXXXX653]": 51100,
+  "[XXXXX654]": 50705,
+  "[XXXXX655]": 51012,
+  "[XXXXX656]": 50447,
+  "[XXXXX657]": 50719,
+  "[XXXXX658]": 50712,
+  "[XXXXX659]": 50476,
+  "[XXXXX65]": 50587,
+  "[XXXXX660]": 51054,
+  "[XXXXX661]": 51166,
+  "[XXXXX662]": 50494,
+  "[XXXXX663]": 50230,
+  "[XXXXX664]": 50621,
+  "[XXXXX665]": 50809,
+  "[XXXXX666]": 50265,
+  "[XXXXX667]": 50645,
+  "[XXXXX668]": 50817,
+  "[XXXXX669]": 50030,
+  "[XXXXX66]": 51029,
+  "[XXXXX670]": 51004,
+  "[XXXXX671]": 50685,
+  "[XXXXX672]": 50625,
+  "[XXXXX673]": 50890,
+  "[XXXXX674]": 50383,
+  "[XXXXX675]": 50929,
+  "[XXXXX676]": 50116,
+  "[XXXXX677]": 51072,
+  "[XXXXX678]": 51126,
+  "[XXXXX679]": 50755,
+  "[XXXXX67]": 50717,
+  "[XXXXX680]": 50303,
+  "[XXXXX681]": 50504,
+  "[XXXXX682]": 51075,
+  "[XXXXX683]": 50261,
+  "[XXXXX684]": 50861,
+  "[XXXXX685]": 50306,
+  "[XXXXX686]": 50016,
+  "[XXXXX687]": 50101,
+  "[XXXXX688]": 51098,
+  "[XXXXX689]": 50827,
+  "[XXXXX68]": 50863,
+  "[XXXXX690]": 50640,
+  "[XXXXX691]": 50031,
+  "[XXXXX692]": 50768,
+  "[XXXXX693]": 50013,
+  "[XXXXX694]": 51032,
+  "[XXXXX695]": 50166,
+  "[XXXXX696]": 50127,
+  "[XXXXX697]": 50414,
+  "[XXXXX698]": 50742,
+  "[XXXXX699]": 51042,
+  "[XXXXX69]": 51112,
+  "[XXXXX6]": 50593,
+  "[XXXXX700]": 50292,
+  "[XXXXX701]": 50174,
+  "[XXXXX702]": 50547,
+  "[XXXXX703]": 50498,
+  "[XXXXX704]": 51078,
+  "[XXXXX705]": 50133,
+  "[XXXXX706]": 50041,
+  "[XXXXX707]": 51181,
+  "[XXXXX708]": 50585,
+  "[XXXXX709]": 50776,
+  "[XXXXX70]": 50053,
+  "[XXXXX710]": 50336,
+  "[XXXXX711]": 50765,
+  "[XXXXX712]": 50224,
+  "[XXXXX713]": 50599,
+  "[XXXXX714]": 50207,
+  "[XXXXX715]": 51043,
+  "[XXXXX716]": 51090,
+  "[XXXXX717]": 50006,
+  "[XXXXX718]": 50901,
+  "[XXXXX719]": 51001,
+  "[XXXXX71]": 50954,
+  "[XXXXX720]": 50646,
+  "[XXXXX721]": 50075,
+  "[XXXXX722]": 51120,
+  "[XXXXX723]": 50215,
+  "[XXXXX724]": 50415,
+  "[XXXXX725]": 50154,
+  "[XXXXX726]": 50935,
+  "[XXXXX727]": 50545,
+  "[XXXXX728]": 51085,
+  "[XXXXX729]": 50256,
+  "[XXXXX72]": 50363,
+  "[XXXXX730]": 50700,
+  "[XXXXX731]": 50262,
+  "[XXXXX732]": 50930,
+  "[XXXXX733]": 50333,
+  "[XXXXX734]": 50884,
+  "[XXXXX735]": 51030,
+  "[XXXXX736]": 50231,
+  "[XXXXX737]": 50405,
+  "[XXXXX738]": 50962,
+  "[XXXXX739]": 50458,
+  "[XXXXX73]": 50019,
+  "[XXXXX740]": 50878,
+  "[XXXXX741]": 50910,
+  "[XXXXX742]": 50170,
+  "[XXXXX743]": 50718,
+  "[XXXXX744]": 50616,
+  "[XXXXX745]": 50358,
+  "[XXXXX746]": 50152,
+  "[XXXXX747]": 50525,
+  "[XXXXX748]": 51167,
+  "[XXXXX749]": 50653,
+  "[XXXXX74]": 50952,
+  "[XXXXX750]": 50500,
+  "[XXXXX751]": 50446,
+  "[XXXXX752]": 50995,
+  "[XXXXX753]": 50945,
+  "[XXXXX754]": 51173,
+  "[XXXXX755]": 50823,
+  "[XXXXX756]": 51060,
+  "[XXXXX757]": 50748,
+  "[XXXXX758]": 50020,
+  "[XXXXX759]": 50197,
+  "[XXXXX75]": 50502,
+  "[XXXXX760]": 50291,
+  "[XXXXX761]": 50821,
+  "[XXXXX762]": 50190,
+  "[XXXXX763]": 50745,
+  "[XXXXX764]": 50778,
+  "[XXXXX765]": 50556,
+  "[XXXXX766]": 51161,
+  "[XXXXX767]": 50466,
+  "[XXXXX768]": 50792,
+  "[XXXXX769]": 50208,
+  "[XXXXX76]": 50169,
+  "[XXXXX770]": 50647,
+  "[XXXXX771]": 50610,
+  "[XXXXX772]": 51140,
+  "[XXXXX773]": 50441,
+  "[XXXXX774]": 50870,
+  "[XXXXX775]": 50368,
+  "[XXXXX776]": 50026,
+  "[XXXXX777]": 50677,
+  "[XXXXX778]": 51168,
+  "[XXXXX779]": 50481,
+  "[XXXXX77]": 50515,
+  "[XXXXX780]": 50225,
+  "[XXXXX781]": 50408,
+  "[XXXXX782]": 50090,
+  "[XXXXX783]": 50951,
+  "[XXXXX784]": 50015,
+  "[XXXXX785]": 50658,
+  "[XXXXX786]": 50617,
+  "[XXXXX787]": 50721,
+  "[XXXXX788]": 51084,
+  "[XXXXX789]": 50830,
+  "[XXXXX78]": 50100,
+  "[XXXXX790]": 50606,
+  "[XXXXX791]": 50124,
+  "[XXXXX792]": 50078,
+  "[XXXXX793]": 51188,
+  "[XXXXX794]": 50750,
+  "[XXXXX795]": 50138,
+  "[XXXXX796]": 50239,
+  "[XXXXX797]": 50385,
+  "[XXXXX798]": 50780,
+  "[XXXXX799]": 50683,
+  "[XXXXX79]": 50436,
+  "[XXXXX7]": 50211,
+  "[XXXXX800]": 51185,
+  "[XXXXX801]": 50250,
+  "[XXXXX802]": 50456,
+  "[XXXXX803]": 50508,
+  "[XXXXX804]": 51194,
+  "[XXXXX805]": 50021,
+  "[XXXXX806]": 50307,
+  "[XXXXX807]": 50199,
+  "[XXXXX808]": 51129,
+  "[XXXXX809]": 50686,
+  "[XXXXX80]": 50370,
+  "[XXXXX810]": 50343,
+  "[XXXXX811]": 50614,
+  "[XXXXX812]": 50636,
+  "[XXXXX813]": 51198,
+  "[XXXXX814]": 50788,
+  "[XXXXX815]": 50120,
+  "[XXXXX816]": 50135,
+  "[XXXXX817]": 50293,
+  "[XXXXX818]": 50153,
+  "[XXXXX819]": 50516,
+  "[XXXXX81]": 50581,
+  "[XXXXX820]": 50586,
+  "[XXXXX821]": 50509,
+  "[XXXXX822]": 50220,
+  "[XXXXX823]": 51068,
+  "[XXXXX824]": 50946,
+  "[XXXXX825]": 50965,
+  "[XXXXX826]": 50032,
+  "[XXXXX827]": 50156,
+  "[XXXXX828]": 50449,
+  "[XXXXX829]": 50531,
+  "[XXXXX82]": 51164,
+  "[XXXXX830]": 50486,
+  "[XXXXX831]": 50357,
+  "[XXXXX832]": 51022,
+  "[XXXXX833]": 50633,
+  "[XXXXX834]": 50754,
+  "[XXXXX835]": 51134,
+  "[XXXXX836]": 50193,
+  "[XXXXX837]": 51088,
+  "[XXXXX838]": 50722,
+  "[XXXXX839]": 50756,
+  "[XXXXX83]": 50977,
+  "[XXXXX840]": 50022,
+  "[XXXXX841]": 51186,
+  "[XXXXX842]": 50575,
+  "[XXXXX843]": 50079,
+  "[XXXXX844]": 50644,
+  "[XXXXX845]": 51033,
+  "[XXXXX846]": 50454,
+  "[XXXXX847]": 50095,
+  "[XXXXX848]": 50902,
+  "[XXXXX849]": 50597,
+  "[XXXXX84]": 50167,
+  "[XXXXX850]": 51051,
+  "[XXXXX851]": 50696,
+  "[XXXXX852]": 50966,
+  "[XXXXX853]": 50034,
+  "[XXXXX854]": 50889,
+  "[XXXXX855]": 50843,
+  "[XXXXX856]": 50963,
+  "[XXXXX857]": 50227,
+  "[XXXXX858]": 51058,
+  "[XXXXX859]": 50850,
+  "[XXXXX85]": 50192,
+  "[XXXXX860]": 50228,
+  "[XXXXX861]": 50570,
+  "[XXXXX862]": 50488,
+  "[XXXXX863]": 50539,
+  "[XXXXX864]": 51182,
+  "[XXXXX865]": 50990,
+  "[XXXXX866]": 50542,
+  "[XXXXX867]": 51069,
+  "[XXXXX868]": 50480,
+  "[XXXXX869]": 50847,
+  "[XXXXX86]": 50874,
+  "[XXXXX870]": 50308,
+  "[XXXXX871]": 50510,
+  "[XXXXX872]": 50423,
+  "[XXXXX873]": 50086,
+  "[XXXXX874]": 50591,
+  "[XXXXX875]": 50728,
+  "[XXXXX876]": 50372,
+  "[XXXXX877]": 50903,
+  "[XXXXX878]": 50868,
+  "[XXXXX879]": 50763,
+  "[XXXXX87]": 50571,
+  "[XXXXX880]": 50096,
+  "[XXXXX881]": 51150,
+  "[XXXXX882]": 50460,
+  "[XXXXX883]": 51087,
+  "[XXXXX884]": 51093,
+  "[XXXXX885]": 50295,
+  "[XXXXX886]": 51037,
+  "[XXXXX887]": 51171,
+  "[XXXXX888]": 50794,
+  "[XXXXX889]": 50628,
+  "[XXXXX88]": 50520,
+  "[XXXXX890]": 51172,
+  "[XXXXX891]": 51046,
+  "[XXXXX892]": 50918,
+  "[XXXXX893]": 50998,
+  "[XXXXX894]": 50371,
+  "[XXXXX895]": 51155,
+  "[XXXXX896]": 50866,
+  "[XXXXX897]": 50229,
+  "[XXXXX898]": 51057,
+  "[XXXXX899]": 50867,
+  "[XXXXX89]": 50537,
+  "[XXXXX8]": 50784,
+  "[XXXXX900]": 50739,
+  "[XXXXX901]": 51080,
+  "[XXXXX902]": 50038,
+  "[XXXXX903]": 50321,
+  "[XXXXX904]": 50774,
+  "[XXXXX905]": 50974,
+  "[XXXXX906]": 50920,
+  "[XXXXX907]": 50469,
+  "[XXXXX908]": 51122,
+  "[XXXXX909]": 51092,
+  "[XXXXX90]": 50514,
+  "[XXXXX910]": 50798,
+  "[XXXXX911]": 50245,
+  "[XXXXX912]": 50367,
+  "[XXXXX913]": 50618,
+  "[XXXXX914]": 50072,
+  "[XXXXX915]": 50450,
+  "[XXXXX916]": 51189,
+  "[XXXXX917]": 50485,
+  "[XXXXX918]": 50283,
+  "[XXXXX919]": 50845,
+  "[XXXXX91]": 50968,
+  "[XXXXX920]": 50429,
+  "[XXXXX921]": 50364,
+  "[XXXXX922]": 50782,
+  "[XXXXX923]": 50534,
+  "[XXXXX924]": 50059,
+  "[XXXXX925]": 50102,
+  "[XXXXX926]": 50185,
+  "[XXXXX927]": 50634,
+  "[XXXXX928]": 50567,
+  "[XXXXX929]": 50895,
+  "[XXXXX92]": 50210,
+  "[XXXXX930]": 50561,
+  "[XXXXX931]": 51021,
+  "[XXXXX932]": 50107,
+  "[XXXXX933]": 50407,
+  "[XXXXX934]": 50654,
+  "[XXXXX935]": 50268,
+  "[XXXXX936]": 51153,
+  "[XXXXX937]": 50552,
+  "[XXXXX938]": 50526,
+  "[XXXXX939]": 50322,
+  "[XXXXX93]": 50912,
+  "[XXXXX940]": 50296,
+  "[XXXXX941]": 50572,
+  "[XXXXX942]": 50393,
+  "[XXXXX943]": 50312,
+  "[XXXXX944]": 50592,
+  "[XXXXX945]": 50982,
+  "[XXXXX946]": 50089,
+  "[XXXXX947]": 50331,
+  "[XXXXX948]": 50279,
+  "[XXXXX949]": 51005,
+  "[XXXXX94]": 50198,
+  "[XXXXX950]": 50114,
+  "[XXXXX951]": 50074,
+  "[XXXXX952]": 50248,
+  "[XXXXX953]": 50857,
+  "[XXXXX954]": 50841,
+  "[XXXXX955]": 51065,
+  "[XXXXX956]": 50234,
+  "[XXXXX957]": 50834,
+  "[XXXXX958]": 50535,
+  "[XXXXX959]": 51109,
+  "[XXXXX95]": 50651,
+  "[XXXXX960]": 50797,
+  "[XXXXX961]": 50914,
+  "[XXXXX962]": 50112,
+  "[XXXXX963]": 50073,
+  "[XXXXX964]": 50559,
+  "[XXXXX965]": 50933,
+  "[XXXXX966]": 50619,
+  "[XXXXX967]": 51187,
+  "[XXXXX968]": 50327,
+  "[XXXXX969]": 50698,
+  "[XXXXX96]": 50420,
+  "[XXXXX970]": 50060,
+  "[XXXXX971]": 50432,
+  "[XXXXX972]": 50620,
+  "[XXXXX973]": 50693,
+  "[XXXXX974]": 50938,
+  "[XXXXX975]": 50983,
+  "[XXXXX976]": 50334,
+  "[XXXXX977]": 50438,
+  "[XXXXX978]": 51154,
+  "[XXXXX979]": 50964,
+  "[XXXXX97]": 50672,
+  "[XXXXX980]": 50511,
+  "[XXXXX981]": 50244,
+  "[XXXXX982]": 50266,
+  "[XXXXX983]": 50134,
+  "[XXXXX984]": 50338,
+  "[XXXXX985]": 51121,
+  "[XXXXX986]": 50323,
+  "[XXXXX987]": 50909,
+  "[XXXXX988]": 51000,
+  "[XXXXX989]": 50036,
+  "[XXXXX98]": 50787,
+  "[XXXXX990]": 50512,
+  "[XXXXX991]": 50191,
+  "[XXXXX992]": 50187,
+  "[XXXXX993]": 51156,
+  "[XXXXX994]": 51135,
+  "[XXXXX995]": 50355,
+  "[XXXXX996]": 51027,
+  "[XXXXX997]": 50297,
+  "[XXXXX998]": 50928,
+  "[XXXXX999]": 50697,
+  "[XXXXX99]": 50980,
+  "[XXXXX9]": 50961
+}
diff --git a/checkpoint-2000/config.json b/checkpoint-2000/config.json
new file mode 100644
index 0000000..000c292
--- /dev/null
+++ b/checkpoint-2000/config.json
@@ -0,0 +1,34 @@
+{
+  "activation_function": "gelu",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50000,
+  "dtype": "bfloat16",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50001,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 512,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": 3072,
+  "n_layer": 12,
+  "n_positions": 512,
+  "pad_token_id": 50002,
+  "prefix": "[CLS]",
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "vocab_size": 51200
+}
diff --git a/checkpoint-2000/generation_config.json b/checkpoint-2000/generation_config.json
new file mode 100644
index 0000000..4c122f0
--- /dev/null
+++ b/checkpoint-2000/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50000,
+  "eos_token_id": [
+    50001
+  ],
+  "pad_token_id": 50002,
+  "transformers_version": "4.56.2"
+}
diff --git a/checkpoint-2000/model.safetensors b/checkpoint-2000/model.safetensors
new file mode 100644
index 0000000..d84acd0
--- /dev/null
+++ b/checkpoint-2000/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ca0528821b91d46c53817c0fd8209a4999066179ea4e40e9360d3ab940f5d877
+size 249556672
diff --git a/checkpoint-2000/rng_state.pth b/checkpoint-2000/rng_state.pth
new file mode 100644
index 0000000..7fe192f
--- /dev/null
+++ b/checkpoint-2000/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:64cc2e65f9b64215f98de43b9c42465d93b5f0e37f7fdba9bba1448f0b8e4188
+size 14645
diff --git a/checkpoint-2000/special_tokens_map.json b/checkpoint-2000/special_tokens_map.json
new file mode 100644
index 0000000..c78a835
--- /dev/null
+++ b/checkpoint-2000/special_tokens_map.json
@@ -0,0 +1,1249 @@
+{
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/checkpoint-2000/spiece.model b/checkpoint-2000/spiece.model
new file mode 100644
index 0000000..85d6e93
--- /dev/null
+++ b/checkpoint-2000/spiece.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:762a1e078899c6ba7ef62ef873a57b860c51cc0518791854659b58b4c89742fe
+size 1170764
diff --git a/checkpoint-2000/tokenizer_config.json b/checkpoint-2000/tokenizer_config.json
new file mode 100644
index 0000000..b27d01f
--- /dev/null
+++ b/checkpoint-2000/tokenizer_config.json
@@ -0,0 +1,10825 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50000": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50001": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50002": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50003": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50004": {
+      "content": "[XXXXX160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50005": {
+      "content": "[XXXXX240]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50006": {
+      "content": "[XXXXX717]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50007": {
+      "content": "[XXXXX23]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50008": {
+      "content": "[XXXXX161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50009": {
+      "content": "[XXXXX1156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50010": {
+      "content": "[XXXXX5]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50011": {
+      "content": "[XXXXX597]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50012": {
+      "content": "[XXXXX415]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50013": {
+      "content": "[XXXXX693]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50014": {
+      "content": "[XXXXX1083]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50015": {
+      "content": "[XXXXX784]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50016": {
+      "content": "[XXXXX686]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50017": {
+      "content": "[XXXXX379]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50018": {
+      "content": "[XXXXX335]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50019": {
+      "content": "[XXXXX73]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50020": {
+      "content": "[XXXXX758]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50021": {
+      "content": "[XXXXX805]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50022": {
+      "content": "[XXXXX840]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50023": {
+      "content": "[XXXXX1037]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50024": {
+      "content": "[XXXXX235]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50025": {
+      "content": "[XXXXX1107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50026": {
+      "content": "[XXXXX776]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50027": {
+      "content": "[XXXXX286]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50028": {
+      "content": "[XXXXX396]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50029": {
+      "content": "[XXXXX478]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50030": {
+      "content": "[XXXXX669]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50031": {
+      "content": "[XXXXX691]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50032": {
+      "content": "[XXXXX826]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50033": {
+      "content": "[XXXXX1150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50034": {
+      "content": "[XXXXX853]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50035": {
+      "content": "[XXXXX130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50036": {
+      "content": "[XXXXX989]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50037": {
+      "content": "[XXXXX249]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50038": {
+      "content": "[XXXXX902]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50039": {
+      "content": "[XXXXX1169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50040": {
+      "content": "[XXXXX260]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50041": {
+      "content": "[XXXXX706]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50042": {
+      "content": "[XXXXX146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50043": {
+      "content": "[XXXXX198]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50044": {
+      "content": "[XXXXX303]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50045": {
+      "content": "[XXXXX1192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50046": {
+      "content": "[XXXXX635]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50047": {
+      "content": "[XXXXX271]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50048": {
+      "content": "[XXXXX1023]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50049": {
+      "content": "[XXXXX602]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50050": {
+      "content": "[XXXXX291]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50051": {
+      "content": "[XXXXX190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50052": {
+      "content": "[XXXXX1055]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50053": {
+      "content": "[XXXXX70]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50054": {
+      "content": "[XXXXX178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50055": {
+      "content": "[XXXXX318]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50056": {
+      "content": "[XXXXX62]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50057": {
+      "content": "[XXXXX473]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50058": {
+      "content": "[XXXXX517]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50059": {
+      "content": "[XXXXX924]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50060": {
+      "content": "[XXXXX970]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50061": {
+      "content": "[XXXXX1033]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50062": {
+      "content": "[XXXXX110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50063": {
+      "content": "[XXXXX1151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50064": {
+      "content": "[XXXXX1189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50065": {
+      "content": "[XXXXX1095]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50066": {
+      "content": "[XXXXX148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50067": {
+      "content": "[XXXXX337]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50068": {
+      "content": "[XXXXX245]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50069": {
+      "content": "[XXXXX407]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50070": {
+      "content": "[XXXXX557]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50071": {
+      "content": "[XXXXX576]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50072": {
+      "content": "[XXXXX914]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50073": {
+      "content": "[XXXXX963]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50074": {
+      "content": "[XXXXX951]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50075": {
+      "content": "[XXXXX721]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50076": {
+      "content": "[XXXXX1174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50077": {
+      "content": "[XXXXX3]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50078": {
+      "content": "[XXXXX792]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50079": {
+      "content": "[XXXXX843]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50080": {
+      "content": "[XXXXX590]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50081": {
+      "content": "[XXXXX118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50082": {
+      "content": "[XXXXX280]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50083": {
+      "content": "[XXXXX1119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50084": {
+      "content": "[XXXXX1025]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50085": {
+      "content": "[XXXXX140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50086": {
+      "content": "[XXXXX873]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50087": {
+      "content": "[XXXXX103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50088": {
+      "content": "[XXXXX307]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50089": {
+      "content": "[XXXXX946]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50090": {
+      "content": "[XXXXX782]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50091": {
+      "content": "[XXXXX100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50092": {
+      "content": "[XXXXX485]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50093": {
+      "content": "[XXXXX151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50094": {
+      "content": "[XXXXX213]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50095": {
+      "content": "[XXXXX847]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50096": {
+      "content": "[XXXXX880]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50097": {
+      "content": "[XXXXX44]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50098": {
+      "content": "[XXXXX1031]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50099": {
+      "content": "[XXXXX545]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50100": {
+      "content": "[XXXXX78]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50101": {
+      "content": "[XXXXX687]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50102": {
+      "content": "[XXXXX925]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50103": {
+      "content": "[XXXXX519]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50104": {
+      "content": "[XXXXX1191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50105": {
+      "content": "[XXXXX13]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50106": {
+      "content": "[XXXXX487]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50107": {
+      "content": "[XXXXX932]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50108": {
+      "content": "[XXXXX119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50109": {
+      "content": "[XXXXX170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50110": {
+      "content": "[XXXXX254]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50111": {
+      "content": "[XXXXX420]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50112": {
+      "content": "[XXXXX962]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50113": {
+      "content": "[XXXXX441]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50114": {
+      "content": "[XXXXX950]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50115": {
+      "content": "[XXXXX18]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50116": {
+      "content": "[XXXXX676]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50117": {
+      "content": "[XXXXX1133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50118": {
+      "content": "[XXXXX618]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50119": {
+      "content": "[XXXXX374]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50120": {
+      "content": "[XXXXX815]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50121": {
+      "content": "[XXXXX1058]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50122": {
+      "content": "[XXXXX1108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50123": {
+      "content": "[XXXXX1144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50124": {
+      "content": "[XXXXX791]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50125": {
+      "content": "[XXXXX259]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50126": {
+      "content": "[XXXXX1074]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50127": {
+      "content": "[XXXXX696]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50128": {
+      "content": "[XXXXX1168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50129": {
+      "content": "[XXXXX592]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50130": {
+      "content": "[XXXXX127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50131": {
+      "content": "[XXXXX136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50132": {
+      "content": "[XXXXX237]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50133": {
+      "content": "[XXXXX705]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50134": {
+      "content": "[XXXXX983]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50135": {
+      "content": "[XXXXX816]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50136": {
+      "content": "[XXXXX412]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50137": {
+      "content": "[XXXXX410]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50138": {
+      "content": "[XXXXX795]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50139": {
+      "content": "[XXXXX101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50140": {
+      "content": "[XXXXX171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50141": {
+      "content": "[XXXXX628]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50142": {
+      "content": "[XXXXX1038]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50143": {
+      "content": "[XXXXX447]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50144": {
+      "content": "[XXXXX1043]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50145": {
+      "content": "[XXXXX147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50146": {
+      "content": "[XXXXX1112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50147": {
+      "content": "[XXXXX186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50148": {
+      "content": "[XXXXX461]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50149": {
+      "content": "[XXXXX423]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50150": {
+      "content": "[XXXXX26]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50151": {
+      "content": "[XXXXX227]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50152": {
+      "content": "[XXXXX746]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50153": {
+      "content": "[XXXXX818]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50154": {
+      "content": "[XXXXX725]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50155": {
+      "content": "[XXXXX400]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50156": {
+      "content": "[XXXXX827]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50157": {
+      "content": "[XXXXX1020]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50158": {
+      "content": "[XXXXX1060]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50159": {
+      "content": "[XXXXX195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50160": {
+      "content": "[XXXXX526]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50161": {
+      "content": "[XXXXX570]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50162": {
+      "content": "[XXXXX174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50163": {
+      "content": "[XXXXX333]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50164": {
+      "content": "[XXXXX466]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50165": {
+      "content": "[XXXXX513]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50166": {
+      "content": "[XXXXX695]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50167": {
+      "content": "[XXXXX84]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50168": {
+      "content": "[XXXXX1080]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50169": {
+      "content": "[XXXXX76]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50170": {
+      "content": "[XXXXX742]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50171": {
+      "content": "[XXXXX1008]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50172": {
+      "content": "[XXXXX1123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50173": {
+      "content": "[XXXXX1145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50174": {
+      "content": "[XXXXX701]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50175": {
+      "content": "[XXXXX562]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50176": {
+      "content": "[XXXXX615]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50177": {
+      "content": "[XXXXX389]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50178": {
+      "content": "[XXXXX267]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50179": {
+      "content": "[XXXXX323]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50180": {
+      "content": "[XXXXX346]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50181": {
+      "content": "[XXXXX287]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50182": {
+      "content": "[XXXXX469]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50183": {
+      "content": "[XXXXX58]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50184": {
+      "content": "[XXXXX431]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50185": {
+      "content": "[XXXXX926]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50186": {
+      "content": "[XXXXX1182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50187": {
+      "content": "[XXXXX992]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50188": {
+      "content": "[XXXXX185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50189": {
+      "content": "[XXXXX352]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50190": {
+      "content": "[XXXXX762]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50191": {
+      "content": "[XXXXX991]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50192": {
+      "content": "[XXXXX85]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50193": {
+      "content": "[XXXXX836]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50194": {
+      "content": "[XXXXX460]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50195": {
+      "content": "[XXXXX272]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50196": {
+      "content": "[XXXXX619]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50197": {
+      "content": "[XXXXX759]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50198": {
+      "content": "[XXXXX94]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50199": {
+      "content": "[XXXXX807]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50200": {
+      "content": "[XXXXX299]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50201": {
+      "content": "[XXXXX187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50202": {
+      "content": "[XXXXX486]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50203": {
+      "content": "[XXXXX45]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50204": {
+      "content": "[XXXXX1036]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50205": {
+      "content": "[XXXXX354]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50206": {
+      "content": "[XXXXX386]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50207": {
+      "content": "[XXXXX714]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50208": {
+      "content": "[XXXXX769]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50209": {
+      "content": "[XXXXX304]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50210": {
+      "content": "[XXXXX92]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50211": {
+      "content": "[XXXXX7]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50212": {
+      "content": "[XXXXX31]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50213": {
+      "content": "[XXXXX102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50214": {
+      "content": "[XXXXX163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50215": {
+      "content": "[XXXXX723]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50216": {
+      "content": "[XXXXX1042]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50217": {
+      "content": "[XXXXX452]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50218": {
+      "content": "[XXXXX622]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50219": {
+      "content": "[XXXXX1056]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50220": {
+      "content": "[XXXXX822]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50221": {
+      "content": "[XXXXX125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50222": {
+      "content": "[XXXXX617]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50223": {
+      "content": "[XXXXX34]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50224": {
+      "content": "[XXXXX712]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50225": {
+      "content": "[XXXXX780]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50226": {
+      "content": "[XXXXX547]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50227": {
+      "content": "[XXXXX857]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50228": {
+      "content": "[XXXXX860]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50229": {
+      "content": "[XXXXX897]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50230": {
+      "content": "[XXXXX663]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50231": {
+      "content": "[XXXXX736]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50232": {
+      "content": "[XXXXX202]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50233": {
+      "content": "[XXXXX1029]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50234": {
+      "content": "[XXXXX956]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50235": {
+      "content": "[XXXXX397]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50236": {
+      "content": "[XXXXX239]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50237": {
+      "content": "[XXXXX472]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50238": {
+      "content": "[XXXXX230]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50239": {
+      "content": "[XXXXX796]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50240": {
+      "content": "[XXXXX639]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50241": {
+      "content": "[XXXXX203]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50242": {
+      "content": "[XXXXX231]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50243": {
+      "content": "[XXXXX652]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50244": {
+      "content": "[XXXXX981]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50245": {
+      "content": "[XXXXX911]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50246": {
+      "content": "[XXXXX380]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50247": {
+      "content": "[XXXXX477]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50248": {
+      "content": "[XXXXX952]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50249": {
+      "content": "[XXXXX28]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50250": {
+      "content": "[XXXXX801]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50251": {
+      "content": "[XXXXX1134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50252": {
+      "content": "[XXXXX1176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50253": {
+      "content": "[XXXXX180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50254": {
+      "content": "[XXXXX598]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50255": {
+      "content": "[XXXXX365]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50256": {
+      "content": "[XXXXX729]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50257": {
+      "content": "[XXXXX214]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50258": {
+      "content": "[XXXXX1117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50259": {
+      "content": "[XXXXX278]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50260": {
+      "content": "[XXXXX522]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50261": {
+      "content": "[XXXXX683]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50262": {
+      "content": "[XXXXX731]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50263": {
+      "content": "[XXXXX312]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "[XXXXX1178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50265": {
+      "content": "[XXXXX666]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50266": {
+      "content": "[XXXXX982]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50267": {
+      "content": "[XXXXX414]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50268": {
+      "content": "[XXXXX935]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50269": {
+      "content": "[XXXXX1089]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50270": {
+      "content": "[XXXXX236]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50271": {
+      "content": "[XXXXX463]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50272": {
+      "content": "[XXXXX52]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50273": {
+      "content": "[XXXXX593]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50274": {
+      "content": "[XXXXX508]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50275": {
+      "content": "[XXXXX1125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50276": {
+      "content": "[XXXXX462]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50277": {
+      "content": "[XXXXX32]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50278": {
+      "content": "[XXXXX596]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50279": {
+      "content": "[XXXXX948]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50280": {
+      "content": "[XXXXX150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50281": {
+      "content": "[XXXXX322]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50282": {
+      "content": "[XXXXX390]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50283": {
+      "content": "[XXXXX918]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50284": {
+      "content": "[XXXXX157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50285": {
+      "content": "[XXXXX310]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50286": {
+      "content": "[XXXXX392]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50287": {
+      "content": "[XXXXX649]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50288": {
+      "content": "[XXXXX158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50289": {
+      "content": "[XXXXX430]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50290": {
+      "content": "[XXXXX384]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50291": {
+      "content": "[XXXXX760]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50292": {
+      "content": "[XXXXX700]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50293": {
+      "content": "[XXXXX817]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50294": {
+      "content": "[XXXXX115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50295": {
+      "content": "[XXXXX885]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50296": {
+      "content": "[XXXXX940]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50297": {
+      "content": "[XXXXX997]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50298": {
+      "content": "[XXXXX61]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50299": {
+      "content": "[XXXXX209]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50300": {
+      "content": "[XXXXX316]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50301": {
+      "content": "[XXXXX537]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50302": {
+      "content": "[XXXXX599]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50303": {
+      "content": "[XXXXX680]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50304": {
+      "content": "[XXXXX135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50305": {
+      "content": "[XXXXX39]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50306": {
+      "content": "[XXXXX685]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50307": {
+      "content": "[XXXXX806]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50308": {
+      "content": "[XXXXX870]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50309": {
+      "content": "[XXXXX1096]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50310": {
+      "content": "[XXXXX366]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50311": {
+      "content": "[XXXXX509]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50312": {
+      "content": "[XXXXX943]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50313": {
+      "content": "[XXXXX292]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50314": {
+      "content": "[XXXXX367]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50315": {
+      "content": "[XXXXX632]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50316": {
+      "content": "[XXXXX1136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50317": {
+      "content": "[XXXXX156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50318": {
+      "content": "[XXXXX1100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50319": {
+      "content": "[XXXXX432]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50320": {
+      "content": "[XXXXX514]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50321": {
+      "content": "[XXXXX903]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50322": {
+      "content": "[XXXXX939]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50323": {
+      "content": "[XXXXX986]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50324": {
+      "content": "[XXXXX506]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50325": {
+      "content": "[XXXXX10]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50326": {
+      "content": "[XXXXX573]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50327": {
+      "content": "[XXXXX968]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50328": {
+      "content": "[XXXXX1039]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50329": {
+      "content": "[XXXXX252]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50330": {
+      "content": "[XXXXX612]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50331": {
+      "content": "[XXXXX947]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50332": {
+      "content": "[XXXXX1162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50333": {
+      "content": "[XXXXX733]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50334": {
+      "content": "[XXXXX976]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50335": {
+      "content": "[XXXXX535]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50336": {
+      "content": "[XXXXX710]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50337": {
+      "content": "[XXXXX40]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50338": {
+      "content": "[XXXXX984]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50339": {
+      "content": "[XXXXX584]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50340": {
+      "content": "[XXXXX132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50341": {
+      "content": "[XXXXX1084]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50342": {
+      "content": "[XXXXX549]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50343": {
+      "content": "[XXXXX810]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50344": {
+      "content": "[XXXXX208]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50345": {
+      "content": "[XXXXX609]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50346": {
+      "content": "[XXXXX275]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50347": {
+      "content": "[XXXXX262]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50348": {
+      "content": "[XXXXX331]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50349": {
+      "content": "[XXXXX361]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50350": {
+      "content": "[XXXXX561]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50351": {
+      "content": "[XXXXX143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50352": {
+      "content": "[XXXXX1061]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50353": {
+      "content": "[XXXXX59]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50354": {
+      "content": "[XXXXX21]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50355": {
+      "content": "[XXXXX995]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50356": {
+      "content": "[XXXXX439]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50357": {
+      "content": "[XXXXX831]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50358": {
+      "content": "[XXXXX745]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50359": {
+      "content": "[XXXXX43]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50360": {
+      "content": "[XXXXX498]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50361": {
+      "content": "[XXXXX575]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50362": {
+      "content": "[XXXXX624]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50363": {
+      "content": "[XXXXX72]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50364": {
+      "content": "[XXXXX921]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50365": {
+      "content": "[XXXXX201]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50366": {
+      "content": "[XXXXX1171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50367": {
+      "content": "[XXXXX912]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50368": {
+      "content": "[XXXXX775]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50369": {
+      "content": "[XXXXX1094]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50370": {
+      "content": "[XXXXX80]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50371": {
+      "content": "[XXXXX894]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50372": {
+      "content": "[XXXXX876]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50373": {
+      "content": "[XXXXX1143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50374": {
+      "content": "[XXXXX355]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50375": {
+      "content": "[XXXXX450]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50376": {
+      "content": "[XXXXX642]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50377": {
+      "content": "[XXXXX162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50378": {
+      "content": "[XXXXX394]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50379": {
+      "content": "[XXXXX296]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50380": {
+      "content": "[XXXXX536]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50381": {
+      "content": "[XXXXX560]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50382": {
+      "content": "[XXXXX373]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50383": {
+      "content": "[XXXXX674]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50384": {
+      "content": "[XXXXX1099]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50385": {
+      "content": "[XXXXX797]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50386": {
+      "content": "[XXXXX516]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50387": {
+      "content": "[XXXXX41]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50388": {
+      "content": "[XXXXX594]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50389": {
+      "content": "[XXXXX319]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50390": {
+      "content": "[XXXXX165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50391": {
+      "content": "[XXXXX344]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50392": {
+      "content": "[XXXXX1012]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50393": {
+      "content": "[XXXXX942]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50394": {
+      "content": "[XXXXX1071]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50395": {
+      "content": "[XXXXX648]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50396": {
+      "content": "[XXXXX4]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50397": {
+      "content": "[XXXXX633]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50398": {
+      "content": "[XXXXX551]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50399": {
+      "content": "[XXXXX586]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50400": {
+      "content": "[XXXXX578]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50401": {
+      "content": "[XXXXX348]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50402": {
+      "content": "[XXXXX614]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50403": {
+      "content": "[XXXXX33]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50404": {
+      "content": "[XXXXX1193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50405": {
+      "content": "[XXXXX737]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50406": {
+      "content": "[XXXXX233]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50407": {
+      "content": "[XXXXX933]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50408": {
+      "content": "[XXXXX781]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50409": {
+      "content": "[XXXXX189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50410": {
+      "content": "[XXXXX1006]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50411": {
+      "content": "[XXXXX219]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50412": {
+      "content": "[XXXXX454]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50413": {
+      "content": "[XXXXX449]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50414": {
+      "content": "[XXXXX697]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50415": {
+      "content": "[XXXXX724]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50416": {
+      "content": "[XXXXX224]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50417": {
+      "content": "[XXXXX1157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50418": {
+      "content": "[XXXXX455]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50419": {
+      "content": "[XXXXX505]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50420": {
+      "content": "[XXXXX96]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50421": {
+      "content": "[XXXXX182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50422": {
+      "content": "[XXXXX424]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50423": {
+      "content": "[XXXXX872]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50424": {
+      "content": "[XXXXX1163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50425": {
+      "content": "[XXXXX1081]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50426": {
+      "content": "[XXXXX1173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50427": {
+      "content": "[XXXXX172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50428": {
+      "content": "[XXXXX507]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50429": {
+      "content": "[XXXXX920]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50430": {
+      "content": "[XXXXX1126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50431": {
+      "content": "[XXXXX474]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50432": {
+      "content": "[XXXXX971]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50433": {
+      "content": "[XXXXX1049]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50434": {
+      "content": "[XXXXX1114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50435": {
+      "content": "[XXXXX1040]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50436": {
+      "content": "[XXXXX79]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50437": {
+      "content": "[XXXXX36]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50438": {
+      "content": "[XXXXX977]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50439": {
+      "content": "[XXXXX1129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50440": {
+      "content": "[XXXXX1063]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50441": {
+      "content": "[XXXXX773]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50442": {
+      "content": "[XXXXX16]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50443": {
+      "content": "[XXXXX113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50444": {
+      "content": "[XXXXX320]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50445": {
+      "content": "[XXXXX167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50446": {
+      "content": "[XXXXX751]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50447": {
+      "content": "[XXXXX656]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50448": {
+      "content": "[XXXXX543]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50449": {
+      "content": "[XXXXX828]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50450": {
+      "content": "[XXXXX915]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50451": {
+      "content": "[XXXXX1098]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50452": {
+      "content": "[XXXXX569]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50453": {
+      "content": "[XXXXX1166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50454": {
+      "content": "[XXXXX846]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50455": {
+      "content": "[XXXXX324]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50456": {
+      "content": "[XXXXX802]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50457": {
+      "content": "[XXXXX588]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50458": {
+      "content": "[XXXXX739]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50459": {
+      "content": "[XXXXX50]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50460": {
+      "content": "[XXXXX882]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50461": {
+      "content": "[XXXXX1054]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50462": {
+      "content": "[XXXXX621]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50463": {
+      "content": "[XXXXX585]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50464": {
+      "content": "[XXXXX121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50465": {
+      "content": "[XXXXX647]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50466": {
+      "content": "[XXXXX767]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50467": {
+      "content": "[XXXXX645]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50468": {
+      "content": "[XXXXX27]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50469": {
+      "content": "[XXXXX907]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50470": {
+      "content": "[XXXXX1109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50471": {
+      "content": "[XXXXX1147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50472": {
+      "content": "[XXXXX501]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50473": {
+      "content": "[XXXXX1164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50474": {
+      "content": "[XXXXX650]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50475": {
+      "content": "[XXXXX329]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50476": {
+      "content": "[XXXXX659]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50477": {
+      "content": "[XXXXX1158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50478": {
+      "content": "[XXXXX104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50479": {
+      "content": "[XXXXX629]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50480": {
+      "content": "[XXXXX868]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50481": {
+      "content": "[XXXXX779]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50482": {
+      "content": "[XXXXX17]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50483": {
+      "content": "[XXXXX377]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50484": {
+      "content": "[XXXXX467]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50485": {
+      "content": "[XXXXX917]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50486": {
+      "content": "[XXXXX830]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50487": {
+      "content": "[XXXXX533]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50488": {
+      "content": "[XXXXX862]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50489": {
+      "content": "[XXXXX1041]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50490": {
+      "content": "[XXXXX542]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50491": {
+      "content": "[XXXXX595]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50492": {
+      "content": "[XXXXX353]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50493": {
+      "content": "[XXXXX181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50494": {
+      "content": "[XXXXX662]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50495": {
+      "content": "[XXXXX1195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50496": {
+      "content": "[XXXXX435]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50497": {
+      "content": "[XXXXX1051]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50498": {
+      "content": "[XXXXX703]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50499": {
+      "content": "[XXXXX1140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50500": {
+      "content": "[XXXXX750]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50501": {
+      "content": "[XXXXX57]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50502": {
+      "content": "[XXXXX75]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50503": {
+      "content": "[XXXXX293]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50504": {
+      "content": "[XXXXX681]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50505": {
+      "content": "[XXXXX46]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50506": {
+      "content": "[XXXXX30]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50507": {
+      "content": "[XXXXX402]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50508": {
+      "content": "[XXXXX803]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50509": {
+      "content": "[XXXXX821]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50510": {
+      "content": "[XXXXX871]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50511": {
+      "content": "[XXXXX980]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50512": {
+      "content": "[XXXXX990]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50513": {
+      "content": "[XXXXX626]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50514": {
+      "content": "[XXXXX90]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50515": {
+      "content": "[XXXXX77]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50516": {
+      "content": "[XXXXX819]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50517": {
+      "content": "[XXXXX436]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50518": {
+      "content": "[XXXXX306]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50519": {
+      "content": "[XXXXX434]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50520": {
+      "content": "[XXXXX88]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50521": {
+      "content": "[XXXXX184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50522": {
+      "content": "[XXXXX290]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50523": {
+      "content": "[XXXXX216]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50524": {
+      "content": "[XXXXX176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50525": {
+      "content": "[XXXXX747]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50526": {
+      "content": "[XXXXX938]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50527": {
+      "content": "[XXXXX442]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50528": {
+      "content": "[XXXXX301]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50529": {
+      "content": "[XXXXX1015]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50530": {
+      "content": "[XXXXX520]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50531": {
+      "content": "[XXXXX829]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50532": {
+      "content": "[XXXXX106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50533": {
+      "content": "[XXXXX1048]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50534": {
+      "content": "[XXXXX923]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50535": {
+      "content": "[XXXXX958]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50536": {
+      "content": "[XXXXX1130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50537": {
+      "content": "[XXXXX89]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50538": {
+      "content": "[XXXXX548]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50539": {
+      "content": "[XXXXX863]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50540": {
+      "content": "[XXXXX444]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50541": {
+      "content": "[XXXXX1149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50542": {
+      "content": "[XXXXX866]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50543": {
+      "content": "[XXXXX109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50544": {
+      "content": "[XXXXX550]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50545": {
+      "content": "[XXXXX727]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50546": {
+      "content": "[XXXXX646]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50547": {
+      "content": "[XXXXX702]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50548": {
+      "content": "[XXXXX204]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50549": {
+      "content": "[XXXXX1000]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50550": {
+      "content": "[XXXXX591]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50551": {
+      "content": "[XXXXX1128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50552": {
+      "content": "[XXXXX937]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50553": {
+      "content": "[XXXXX141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50554": {
+      "content": "[XXXXX273]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50555": {
+      "content": "[XXXXX1183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50556": {
+      "content": "[XXXXX765]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50557": {
+      "content": "[XXXXX371]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50558": {
+      "content": "[XXXXX256]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50559": {
+      "content": "[XXXXX964]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50560": {
+      "content": "[XXXXX1148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50561": {
+      "content": "[XXXXX930]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50562": {
+      "content": "[XXXXX212]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50563": {
+      "content": "[XXXXX133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50564": {
+      "content": "[XXXXX608]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50565": {
+      "content": "[XXXXX281]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50566": {
+      "content": "[XXXXX1045]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50567": {
+      "content": "[XXXXX928]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50568": {
+      "content": "[XXXXX1154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50569": {
+      "content": "[XXXXX334]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50570": {
+      "content": "[XXXXX861]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50571": {
+      "content": "[XXXXX87]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50572": {
+      "content": "[XXXXX941]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50573": {
+      "content": "[XXXXX359]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50574": {
+      "content": "[XXXXX55]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50575": {
+      "content": "[XXXXX842]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50576": {
+      "content": "[XXXXX427]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50577": {
+      "content": "[XXXXX491]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50578": {
+      "content": "[XXXXX137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50579": {
+      "content": "[XXXXX47]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50580": {
+      "content": "[XXXXX511]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50581": {
+      "content": "[XXXXX81]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50582": {
+      "content": "[XXXXX139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50583": {
+      "content": "[XXXXX226]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50584": {
+      "content": "[XXXXX563]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50585": {
+      "content": "[XXXXX708]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50586": {
+      "content": "[XXXXX820]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50587": {
+      "content": "[XXXXX65]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50588": {
+      "content": "[XXXXX381]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50589": {
+      "content": "[XXXXX22]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50590": {
+      "content": "[XXXXX1064]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50591": {
+      "content": "[XXXXX874]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50592": {
+      "content": "[XXXXX944]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50593": {
+      "content": "[XXXXX6]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50594": {
+      "content": "[XXXXX313]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50595": {
+      "content": "[XXXXX471]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50596": {
+      "content": "[XXXXX1118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50597": {
+      "content": "[XXXXX849]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50598": {
+      "content": "[XXXXX483]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50599": {
+      "content": "[XXXXX713]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50600": {
+      "content": "[XXXXX222]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50601": {
+      "content": "[XXXXX640]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50602": {
+      "content": "[XXXXX12]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50603": {
+      "content": "[XXXXX285]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50604": {
+      "content": "[XXXXX327]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50605": {
+      "content": "[XXXXX378]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50606": {
+      "content": "[XXXXX790]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50607": {
+      "content": "[XXXXX1179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50608": {
+      "content": "[XXXXX15]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50609": {
+      "content": "[XXXXX229]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50610": {
+      "content": "[XXXXX771]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50611": {
+      "content": "[XXXXX559]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50612": {
+      "content": "[XXXXX253]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50613": {
+      "content": "[XXXXX644]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50614": {
+      "content": "[XXXXX811]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50615": {
+      "content": "[XXXXX554]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50616": {
+      "content": "[XXXXX744]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50617": {
+      "content": "[XXXXX786]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50618": {
+      "content": "[XXXXX913]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50619": {
+      "content": "[XXXXX966]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50620": {
+      "content": "[XXXXX972]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50621": {
+      "content": "[XXXXX664]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50622": {
+      "content": "[XXXXX1131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50623": {
+      "content": "[XXXXX1132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50624": {
+      "content": "[XXXXX376]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50625": {
+      "content": "[XXXXX672]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50626": {
+      "content": "[XXXXX1013]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50627": {
+      "content": "[XXXXX328]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50628": {
+      "content": "[XXXXX889]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50629": {
+      "content": "[XXXXX1141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50630": {
+      "content": "[XXXXX429]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50631": {
+      "content": "[XXXXX114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50632": {
+      "content": "[XXXXX523]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50633": {
+      "content": "[XXXXX833]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50634": {
+      "content": "[XXXXX927]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50635": {
+      "content": "[XXXXX297]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50636": {
+      "content": "[XXXXX812]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50637": {
+      "content": "[XXXXX1062]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50638": {
+      "content": "[XXXXX152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50639": {
+      "content": "[XXXXX1010]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50640": {
+      "content": "[XXXXX690]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50641": {
+      "content": "[XXXXX363]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50642": {
+      "content": "[XXXXX1103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50643": {
+      "content": "[XXXXX194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50644": {
+      "content": "[XXXXX844]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50645": {
+      "content": "[XXXXX667]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50646": {
+      "content": "[XXXXX720]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50647": {
+      "content": "[XXXXX770]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50648": {
+      "content": "[XXXXX515]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50649": {
+      "content": "[XXXXX196]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50650": {
+      "content": "[XXXXX283]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50651": {
+      "content": "[XXXXX95]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50652": {
+      "content": "[XXXXX528]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50653": {
+      "content": "[XXXXX749]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50654": {
+      "content": "[XXXXX934]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50655": {
+      "content": "[XXXXX1052]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50656": {
+      "content": "[XXXXX1188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50657": {
+      "content": "[XXXXX1001]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50658": {
+      "content": "[XXXXX785]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50659": {
+      "content": "[XXXXX393]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50660": {
+      "content": "[XXXXX502]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50661": {
+      "content": "[XXXXX404]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50662": {
+      "content": "[XXXXX129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50663": {
+      "content": "[XXXXX643]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50664": {
+      "content": "[XXXXX1086]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50665": {
+      "content": "[XXXXX1104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50666": {
+      "content": "[XXXXX326]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50667": {
+      "content": "[XXXXX330]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50668": {
+      "content": "[XXXXX620]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50669": {
+      "content": "[XXXXX193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50670": {
+      "content": "[XXXXX470]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50671": {
+      "content": "[XXXXX279]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50672": {
+      "content": "[XXXXX97]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50673": {
+      "content": "[XXXXX177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50674": {
+      "content": "[XXXXX510]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50675": {
+      "content": "[XXXXX225]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50676": {
+      "content": "[XXXXX572]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50677": {
+      "content": "[XXXXX777]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50678": {
+      "content": "[XXXXX1135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50679": {
+      "content": "[XXXXX1160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50680": {
+      "content": "[XXXXX558]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50681": {
+      "content": "[XXXXX416]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50682": {
+      "content": "[XXXXX246]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50683": {
+      "content": "[XXXXX799]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50684": {
+      "content": "[XXXXX153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50685": {
+      "content": "[XXXXX671]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50686": {
+      "content": "[XXXXX809]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50687": {
+      "content": "[XXXXX525]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50688": {
+      "content": "[XXXXX1004]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50689": {
+      "content": "[XXXXX1005]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50690": {
+      "content": "[XXXXX1194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50691": {
+      "content": "[XXXXX408]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50692": {
+      "content": "[XXXXX492]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50693": {
+      "content": "[XXXXX973]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50694": {
+      "content": "[XXXXX242]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50695": {
+      "content": "[XXXXX357]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50696": {
+      "content": "[XXXXX851]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50697": {
+      "content": "[XXXXX999]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50698": {
+      "content": "[XXXXX969]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50699": {
+      "content": "[XXXXX453]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50700": {
+      "content": "[XXXXX730]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50701": {
+      "content": "[XXXXX54]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50702": {
+      "content": "[XXXXX480]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50703": {
+      "content": "[XXXXX564]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50704": {
+      "content": "[XXXXX600]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50705": {
+      "content": "[XXXXX654]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50706": {
+      "content": "[XXXXX37]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50707": {
+      "content": "[XXXXX605]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50708": {
+      "content": "[XXXXX164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50709": {
+      "content": "[XXXXX395]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50710": {
+      "content": "[XXXXX401]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50711": {
+      "content": "[XXXXX446]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50712": {
+      "content": "[XXXXX658]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50713": {
+      "content": "[XXXXX60]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50714": {
+      "content": "[XXXXX107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50715": {
+      "content": "[XXXXX131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50716": {
+      "content": "[XXXXX387]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50717": {
+      "content": "[XXXXX67]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50718": {
+      "content": "[XXXXX743]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50719": {
+      "content": "[XXXXX657]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50720": {
+      "content": "[XXXXX418]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50721": {
+      "content": "[XXXXX787]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50722": {
+      "content": "[XXXXX838]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50723": {
+      "content": "[XXXXX298]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50724": {
+      "content": "[XXXXX1007]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50725": {
+      "content": "[XXXXX1027]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50726": {
+      "content": "[XXXXX1078]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50727": {
+      "content": "[XXXXX651]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50728": {
+      "content": "[XXXXX875]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50729": {
+      "content": "[XXXXX258]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50730": {
+      "content": "[XXXXX413]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50731": {
+      "content": "[XXXXX1092]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50732": {
+      "content": "[XXXXX124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50733": {
+      "content": "[XXXXX308]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50734": {
+      "content": "[XXXXX1085]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50735": {
+      "content": "[XXXXX1170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50736": {
+      "content": "[XXXXX38]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50737": {
+      "content": "[XXXXX438]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50738": {
+      "content": "[XXXXX475]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50739": {
+      "content": "[XXXXX900]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50740": {
+      "content": "[XXXXX263]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50741": {
+      "content": "[XXXXX166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50742": {
+      "content": "[XXXXX698]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50743": {
+      "content": "[XXXXX1127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50744": {
+      "content": "[XXXXX1181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50745": {
+      "content": "[XXXXX763]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50746": {
+      "content": "[XXXXX627]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50747": {
+      "content": "[XXXXX250]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50748": {
+      "content": "[XXXXX757]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50749": {
+      "content": "[XXXXX142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50750": {
+      "content": "[XXXXX794]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50751": {
+      "content": "[XXXXX128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50752": {
+      "content": "[XXXXX35]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50753": {
+      "content": "[XXXXX482]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50754": {
+      "content": "[XXXXX834]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50755": {
+      "content": "[XXXXX679]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50756": {
+      "content": "[XXXXX839]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50757": {
+      "content": "[XXXXX138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50758": {
+      "content": "[XXXXX1066]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50759": {
+      "content": "[XXXXX116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50760": {
+      "content": "[XXXXX317]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50761": {
+      "content": "[XXXXX490]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50762": {
+      "content": "[XXXXX443]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50763": {
+      "content": "[XXXXX879]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50764": {
+      "content": "[XXXXX1101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50765": {
+      "content": "[XXXXX711]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50766": {
+      "content": "[XXXXX123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50767": {
+      "content": "[XXXXX1152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50768": {
+      "content": "[XXXXX692]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50769": {
+      "content": "[XXXXX555]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50770": {
+      "content": "[XXXXX266]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50771": {
+      "content": "[XXXXX0]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50772": {
+      "content": "[XXXXX332]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50773": {
+      "content": "[XXXXX497]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50774": {
+      "content": "[XXXXX904]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50775": {
+      "content": "[XXXXX1019]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50776": {
+      "content": "[XXXXX709]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50777": {
+      "content": "[XXXXX351]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50778": {
+      "content": "[XXXXX764]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50779": {
+      "content": "[XXXXX625]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50780": {
+      "content": "[XXXXX798]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50781": {
+      "content": "[XXXXX205]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50782": {
+      "content": "[XXXXX922]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50783": {
+      "content": "[XXXXX1075]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50784": {
+      "content": "[XXXXX8]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50785": {
+      "content": "[XXXXX422]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50786": {
+      "content": "[XXXXX638]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50787": {
+      "content": "[XXXXX98]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50788": {
+      "content": "[XXXXX814]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50789": {
+      "content": "[XXXXX1057]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50790": {
+      "content": "[XXXXX1070]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50791": {
+      "content": "[XXXXX411]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50792": {
+      "content": "[XXXXX768]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50793": {
+      "content": "[XXXXX1165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50794": {
+      "content": "[XXXXX888]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50795": {
+      "content": "[XXXXX636]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50796": {
+      "content": "[XXXXX1047]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50797": {
+      "content": "[XXXXX960]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50798": {
+      "content": "[XXXXX910]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50799": {
+      "content": "[XXXXX42]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50800": {
+      "content": "[XXXXX238]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50801": {
+      "content": "[XXXXX383]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50802": {
+      "content": "[XXXXX1032]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50803": {
+      "content": "[XXXXX577]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50804": {
+      "content": "[XXXXX268]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50805": {
+      "content": "[XXXXX179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50806": {
+      "content": "[XXXXX1076]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50807": {
+      "content": "[XXXXX1167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50808": {
+      "content": "[XXXXX1172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50809": {
+      "content": "[XXXXX665]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50810": {
+      "content": "[XXXXX126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50811": {
+      "content": "[XXXXX347]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50812": {
+      "content": "[XXXXX544]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50813": {
+      "content": "[XXXXX1026]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50814": {
+      "content": "[XXXXX159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50815": {
+      "content": "[XXXXX503]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50816": {
+      "content": "[XXXXX583]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50817": {
+      "content": "[XXXXX668]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50818": {
+      "content": "[XXXXX1115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50819": {
+      "content": "[XXXXX112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50820": {
+      "content": "[XXXXX154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50821": {
+      "content": "[XXXXX761]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50822": {
+      "content": "[XXXXX540]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50823": {
+      "content": "[XXXXX755]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50824": {
+      "content": "[XXXXX255]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50825": {
+      "content": "[XXXXX459]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50826": {
+      "content": "[XXXXX1090]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50827": {
+      "content": "[XXXXX689]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50828": {
+      "content": "[XXXXX589]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50829": {
+      "content": "[XXXXX122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50830": {
+      "content": "[XXXXX789]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50831": {
+      "content": "[XXXXX481]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50832": {
+      "content": "[XXXXX1044]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50833": {
+      "content": "[XXXXX274]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50834": {
+      "content": "[XXXXX957]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50835": {
+      "content": "[XXXXX1121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50836": {
+      "content": "[XXXXX464]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50837": {
+      "content": "[XXXXX495]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50838": {
+      "content": "[XXXXX1097]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50839": {
+      "content": "[XXXXX581]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50840": {
+      "content": "[XXXXX200]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50841": {
+      "content": "[XXXXX954]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50842": {
+      "content": "[XXXXX48]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50843": {
+      "content": "[XXXXX855]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50844": {
+      "content": "[XXXXX419]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50845": {
+      "content": "[XXXXX919]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50846": {
+      "content": "[XXXXX451]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50847": {
+      "content": "[XXXXX869]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50848": {
+      "content": "[XXXXX1082]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50849": {
+      "content": "[XXXXX1185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50850": {
+      "content": "[XXXXX859]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50851": {
+      "content": "[XXXXX1139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50852": {
+      "content": "[XXXXX1072]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50853": {
+      "content": "[XXXXX220]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50854": {
+      "content": "[XXXXX465]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50855": {
+      "content": "[XXXXX1105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50856": {
+      "content": "[XXXXX1093]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50857": {
+      "content": "[XXXXX953]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50858": {
+      "content": "[XXXXX1187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50859": {
+      "content": "[XXXXX311]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50860": {
+      "content": "[XXXXX403]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50861": {
+      "content": "[XXXXX684]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50862": {
+      "content": "[XXXXX426]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50863": {
+      "content": "[XXXXX68]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50864": {
+      "content": "[XXXXX277]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50865": {
+      "content": "[XXXXX437]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50866": {
+      "content": "[XXXXX896]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50867": {
+      "content": "[XXXXX899]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50868": {
+      "content": "[XXXXX878]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50869": {
+      "content": "[XXXXX1073]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50870": {
+      "content": "[XXXXX774]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50871": {
+      "content": "[XXXXX315]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50872": {
+      "content": "[XXXXX631]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50873": {
+      "content": "[XXXXX223]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50874": {
+      "content": "[XXXXX86]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50875": {
+      "content": "[XXXXX607]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50876": {
+      "content": "[XXXXX149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50877": {
+      "content": "[XXXXX566]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50878": {
+      "content": "[XXXXX740]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50879": {
+      "content": "[XXXXX265]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50880": {
+      "content": "[XXXXX399]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50881": {
+      "content": "[XXXXX1053]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50882": {
+      "content": "[XXXXX1077]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50883": {
+      "content": "[XXXXX336]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50884": {
+      "content": "[XXXXX734]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50885": {
+      "content": "[XXXXX289]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50886": {
+      "content": "[XXXXX221]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50887": {
+      "content": "[XXXXX580]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50888": {
+      "content": "[XXXXX406]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50889": {
+      "content": "[XXXXX854]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50890": {
+      "content": "[XXXXX673]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50891": {
+      "content": "[XXXXX1146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50892": {
+      "content": "[XXXXX29]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50893": {
+      "content": "[XXXXX496]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50894": {
+      "content": "[XXXXX241]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50895": {
+      "content": "[XXXXX929]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50896": {
+      "content": "[XXXXX169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50897": {
+      "content": "[XXXXX1153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50898": {
+      "content": "[XXXXX440]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50899": {
+      "content": "[XXXXX385]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50900": {
+      "content": "[XXXXX499]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50901": {
+      "content": "[XXXXX718]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50902": {
+      "content": "[XXXXX848]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50903": {
+      "content": "[XXXXX877]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50904": {
+      "content": "[XXXXX641]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50905": {
+      "content": "[XXXXX1137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50906": {
+      "content": "[XXXXX269]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50907": {
+      "content": "[XXXXX521]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50908": {
+      "content": "[XXXXX234]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50909": {
+      "content": "[XXXXX987]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50910": {
+      "content": "[XXXXX741]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50911": {
+      "content": "[XXXXX349]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50912": {
+      "content": "[XXXXX93]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50913": {
+      "content": "[XXXXX247]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50914": {
+      "content": "[XXXXX961]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50915": {
+      "content": "[XXXXX1120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50916": {
+      "content": "[XXXXX369]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50917": {
+      "content": "[XXXXX479]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50918": {
+      "content": "[XXXXX892]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50919": {
+      "content": "[XXXXX553]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50920": {
+      "content": "[XXXXX906]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50921": {
+      "content": "[XXXXX571]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50922": {
+      "content": "[XXXXX1046]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50923": {
+      "content": "[XXXXX206]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50924": {
+      "content": "[XXXXX488]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50925": {
+      "content": "[XXXXX445]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50926": {
+      "content": "[XXXXX524]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50927": {
+      "content": "[XXXXX228]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50928": {
+      "content": "[XXXXX998]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50929": {
+      "content": "[XXXXX675]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50930": {
+      "content": "[XXXXX732]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50931": {
+      "content": "[XXXXX1028]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50932": {
+      "content": "[XXXXX494]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50933": {
+      "content": "[XXXXX965]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50934": {
+      "content": "[XXXXX1021]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50935": {
+      "content": "[XXXXX726]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50936": {
+      "content": "[XXXXX168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50937": {
+      "content": "[XXXXX606]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50938": {
+      "content": "[XXXXX974]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50939": {
+      "content": "[XXXXX504]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50940": {
+      "content": "[XXXXX556]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50941": {
+      "content": "[XXXXX1159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50942": {
+      "content": "[XXXXX417]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50943": {
+      "content": "[XXXXX1175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50944": {
+      "content": "[XXXXX1142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50945": {
+      "content": "[XXXXX753]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50946": {
+      "content": "[XXXXX824]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50947": {
+      "content": "[XXXXX251]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50948": {
+      "content": "[XXXXX345]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50949": {
+      "content": "[XXXXX610]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50950": {
+      "content": "[XXXXX276]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50951": {
+      "content": "[XXXXX783]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50952": {
+      "content": "[XXXXX74]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50953": {
+      "content": "[XXXXX1050]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50954": {
+      "content": "[XXXXX71]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50955": {
+      "content": "[XXXXX360]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50956": {
+      "content": "[XXXXX512]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50957": {
+      "content": "[XXXXX341]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50958": {
+      "content": "[XXXXX375]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50959": {
+      "content": "[XXXXX637]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50960": {
+      "content": "[XXXXX1116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50961": {
+      "content": "[XXXXX9]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50962": {
+      "content": "[XXXXX738]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50963": {
+      "content": "[XXXXX856]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50964": {
+      "content": "[XXXXX979]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50965": {
+      "content": "[XXXXX825]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50966": {
+      "content": "[XXXXX852]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50967": {
+      "content": "[XXXXX215]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50968": {
+      "content": "[XXXXX91]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50969": {
+      "content": "[XXXXX257]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50970": {
+      "content": "[XXXXX325]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50971": {
+      "content": "[XXXXX368]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50972": {
+      "content": "[XXXXX1124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50973": {
+      "content": "[XXXXX188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50974": {
+      "content": "[XXXXX905]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50975": {
+      "content": "[XXXXX284]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50976": {
+      "content": "[XXXXX11]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50977": {
+      "content": "[XXXXX83]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50978": {
+      "content": "[XXXXX611]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50979": {
+      "content": "[XXXXX51]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50980": {
+      "content": "[XXXXX99]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50981": {
+      "content": "[XXXXX288]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50982": {
+      "content": "[XXXXX945]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50983": {
+      "content": "[XXXXX975]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50984": {
+      "content": "[XXXXX282]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50985": {
+      "content": "[XXXXX1068]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50986": {
+      "content": "[XXXXX1180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50987": {
+      "content": "[XXXXX574]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50988": {
+      "content": "[XXXXX305]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50989": {
+      "content": "[XXXXX565]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50990": {
+      "content": "[XXXXX865]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50991": {
+      "content": "[XXXXX1014]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50992": {
+      "content": "[XXXXX1138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50993": {
+      "content": "[XXXXX134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50994": {
+      "content": "[XXXXX321]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50995": {
+      "content": "[XXXXX752]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50996": {
+      "content": "[XXXXX108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50997": {
+      "content": "[XXXXX339]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50998": {
+      "content": "[XXXXX893]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50999": {
+      "content": "[XXXXX1177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51000": {
+      "content": "[XXXXX988]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51001": {
+      "content": "[XXXXX719]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51002": {
+      "content": "[XXXXX1059]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51003": {
+      "content": "[XXXXX421]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51004": {
+      "content": "[XXXXX670]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51005": {
+      "content": "[XXXXX949]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51006": {
+      "content": "[XXXXX14]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51007": {
+      "content": "[XXXXX1087]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51008": {
+      "content": "[XXXXX382]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51009": {
+      "content": "[XXXXX531]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51010": {
+      "content": "[XXXXX1079]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51011": {
+      "content": "[XXXXX1067]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51012": {
+      "content": "[XXXXX655]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51013": {
+      "content": "[XXXXX340]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51014": {
+      "content": "[XXXXX398]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51015": {
+      "content": "[XXXXX175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51016": {
+      "content": "[XXXXX232]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51017": {
+      "content": "[XXXXX244]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51018": {
+      "content": "[XXXXX568]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51019": {
+      "content": "[XXXXX1110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51020": {
+      "content": "[XXXXX191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51021": {
+      "content": "[XXXXX931]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51022": {
+      "content": "[XXXXX832]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51023": {
+      "content": "[XXXXX1030]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51024": {
+      "content": "[XXXXX144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51025": {
+      "content": "[XXXXX1102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51026": {
+      "content": "[XXXXX300]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51027": {
+      "content": "[XXXXX996]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51028": {
+      "content": "[XXXXX248]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51029": {
+      "content": "[XXXXX66]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51030": {
+      "content": "[XXXXX735]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51031": {
+      "content": "[XXXXX20]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51032": {
+      "content": "[XXXXX694]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51033": {
+      "content": "[XXXXX845]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51034": {
+      "content": "[XXXXX500]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51035": {
+      "content": "[XXXXX613]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51036": {
+      "content": "[XXXXX117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51037": {
+      "content": "[XXXXX886]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51038": {
+      "content": "[XXXXX261]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51039": {
+      "content": "[XXXXX567]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51040": {
+      "content": "[XXXXX541]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51041": {
+      "content": "[XXXXX529]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51042": {
+      "content": "[XXXXX699]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51043": {
+      "content": "[XXXXX715]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51044": {
+      "content": "[XXXXX1003]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51045": {
+      "content": "[XXXXX518]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51046": {
+      "content": "[XXXXX891]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51047": {
+      "content": "[XXXXX192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51048": {
+      "content": "[XXXXX53]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51049": {
+      "content": "[XXXXX428]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51050": {
+      "content": "[XXXXX183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51051": {
+      "content": "[XXXXX850]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51052": {
+      "content": "[XXXXX539]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51053": {
+      "content": "[XXXXX527]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51054": {
+      "content": "[XXXXX660]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51055": {
+      "content": "[XXXXX409]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51056": {
+      "content": "[XXXXX1122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51057": {
+      "content": "[XXXXX898]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51058": {
+      "content": "[XXXXX858]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51059": {
+      "content": "[XXXXX534]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51060": {
+      "content": "[XXXXX756]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51061": {
+      "content": "[XXXXX63]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51062": {
+      "content": "[XXXXX49]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51063": {
+      "content": "[XXXXX1106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51064": {
+      "content": "[XXXXX111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51065": {
+      "content": "[XXXXX955]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51066": {
+      "content": "[XXXXX309]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51067": {
+      "content": "[XXXXX538]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51068": {
+      "content": "[XXXXX823]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51069": {
+      "content": "[XXXXX867]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51070": {
+      "content": "[XXXXX587]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51071": {
+      "content": "[XXXXX243]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51072": {
+      "content": "[XXXXX677]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51073": {
+      "content": "[XXXXX1017]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51074": {
+      "content": "[XXXXX173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51075": {
+      "content": "[XXXXX682]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51076": {
+      "content": "[XXXXX1184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51077": {
+      "content": "[XXXXX1009]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51078": {
+      "content": "[XXXXX704]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51079": {
+      "content": "[XXXXX532]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51080": {
+      "content": "[XXXXX901]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51081": {
+      "content": "[XXXXX120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51082": {
+      "content": "[XXXXX388]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51083": {
+      "content": "[XXXXX405]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51084": {
+      "content": "[XXXXX788]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51085": {
+      "content": "[XXXXX728]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51086": {
+      "content": "[XXXXX425]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51087": {
+      "content": "[XXXXX883]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51088": {
+      "content": "[XXXXX837]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51089": {
+      "content": "[XXXXX350]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51090": {
+      "content": "[XXXXX716]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51091": {
+      "content": "[XXXXX579]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51092": {
+      "content": "[XXXXX909]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51093": {
+      "content": "[XXXXX884]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51094": {
+      "content": "[XXXXX1011]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51095": {
+      "content": "[XXXXX372]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51096": {
+      "content": "[XXXXX370]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51097": {
+      "content": "[XXXXX468]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51098": {
+      "content": "[XXXXX688]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51099": {
+      "content": "[XXXXX56]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51100": {
+      "content": "[XXXXX653]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51101": {
+      "content": "[XXXXX623]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51102": {
+      "content": "[XXXXX552]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51103": {
+      "content": "[XXXXX314]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51104": {
+      "content": "[XXXXX1018]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51105": {
+      "content": "[XXXXX1091]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51106": {
+      "content": "[XXXXX342]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51107": {
+      "content": "[XXXXX1065]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51108": {
+      "content": "[XXXXX1161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51109": {
+      "content": "[XXXXX959]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51110": {
+      "content": "[XXXXX1035]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51111": {
+      "content": "[XXXXX530]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51112": {
+      "content": "[XXXXX69]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51113": {
+      "content": "[XXXXX489]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51114": {
+      "content": "[XXXXX1]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51115": {
+      "content": "[XXXXX207]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51116": {
+      "content": "[XXXXX433]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51117": {
+      "content": "[XXXXX358]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51118": {
+      "content": "[XXXXX601]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51119": {
+      "content": "[XXXXX2]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51120": {
+      "content": "[XXXXX722]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51121": {
+      "content": "[XXXXX985]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51122": {
+      "content": "[XXXXX908]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51123": {
+      "content": "[XXXXX1024]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51124": {
+      "content": "[XXXXX1111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51125": {
+      "content": "[XXXXX1113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51126": {
+      "content": "[XXXXX678]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51127": {
+      "content": "[XXXXX19]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51128": {
+      "content": "[XXXXX1186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51129": {
+      "content": "[XXXXX808]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51130": {
+      "content": "[XXXXX493]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51131": {
+      "content": "[XXXXX1155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51132": {
+      "content": "[XXXXX217]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51133": {
+      "content": "[XXXXX616]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51134": {
+      "content": "[XXXXX835]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51135": {
+      "content": "[XXXXX994]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51136": {
+      "content": "[XXXXX484]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51137": {
+      "content": "[XXXXX362]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51138": {
+      "content": "[XXXXX582]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51139": {
+      "content": "[XXXXX1034]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51140": {
+      "content": "[XXXXX772]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51141": {
+      "content": "[XXXXX457]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51142": {
+      "content": "[XXXXX604]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51143": {
+      "content": "[XXXXX456]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51144": {
+      "content": "[XXXXX145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51145": {
+      "content": "[XXXXX476]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51146": {
+      "content": "[XXXXX218]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51147": {
+      "content": "[XXXXX199]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51148": {
+      "content": "[XXXXX364]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51149": {
+      "content": "[XXXXX302]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51150": {
+      "content": "[XXXXX881]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51151": {
+      "content": "[XXXXX1088]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51152": {
+      "content": "[XXXXX356]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51153": {
+      "content": "[XXXXX936]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51154": {
+      "content": "[XXXXX978]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51155": {
+      "content": "[XXXXX895]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51156": {
+      "content": "[XXXXX993]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51157": {
+      "content": "[XXXXX458]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51158": {
+      "content": "[XXXXX1002]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51159": {
+      "content": "[XXXXX1022]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51160": {
+      "content": "[XXXXX25]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51161": {
+      "content": "[XXXXX766]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51162": {
+      "content": "[XXXXX64]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51163": {
+      "content": "[XXXXX211]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51164": {
+      "content": "[XXXXX82]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51165": {
+      "content": "[XXXXX634]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51166": {
+      "content": "[XXXXX661]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51167": {
+      "content": "[XXXXX748]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51168": {
+      "content": "[XXXXX778]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51169": {
+      "content": "[XXXXX24]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51170": {
+      "content": "[XXXXX448]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51171": {
+      "content": "[XXXXX887]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51172": {
+      "content": "[XXXXX890]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51173": {
+      "content": "[XXXXX754]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51174": {
+      "content": "[XXXXX343]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51175": {
+      "content": "[XXXXX1069]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51176": {
+      "content": "[XXXXX294]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51177": {
+      "content": "[XXXXX295]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51178": {
+      "content": "[XXXXX197]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51179": {
+      "content": "[XXXXX210]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51180": {
+      "content": "[XXXXX630]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51181": {
+      "content": "[XXXXX707]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51182": {
+      "content": "[XXXXX864]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51183": {
+      "content": "[XXXXX391]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51184": {
+      "content": "[XXXXX338]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51185": {
+      "content": "[XXXXX800]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51186": {
+      "content": "[XXXXX841]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51187": {
+      "content": "[XXXXX967]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51188": {
+      "content": "[XXXXX793]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51189": {
+      "content": "[XXXXX916]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51190": {
+      "content": "[XXXXX603]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51191": {
+      "content": "[XXXXX270]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51192": {
+      "content": "[XXXXX105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51193": {
+      "content": "[XXXXX1016]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51194": {
+      "content": "[XXXXX804]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51195": {
+      "content": "[XXXXX264]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51196": {
+      "content": "[XXXXX155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51197": {
+      "content": "[XXXXX1190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51198": {
+      "content": "[XXXXX813]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51199": {
+      "content": "[XXXXX546]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "keep_accents": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}
diff --git a/checkpoint-2000/trainer_state.json b/checkpoint-2000/trainer_state.json
new file mode 100644
index 0000000..ff63927
--- /dev/null
+++ b/checkpoint-2000/trainer_state.json
@@ -0,0 +1,4078 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 1.6570008285004143,
+  "eval_steps": 500,
+  "global_step": 2000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "entropy": 7.218191003799438,
+      "epoch": 0.004142502071251036,
+      "grad_norm": 1.265625,
+      "learning_rate": 2e-06,
+      "loss": 6.8898,
+      "mean_token_accuracy": 0.08805170804262161,
+      "num_tokens": 9149.0,
+      "step": 5
+    },
+    {
+      "entropy": 7.191673707962036,
+      "epoch": 0.008285004142502071,
+      "grad_norm": 1.5078125,
+      "learning_rate": 4.5e-06,
+      "loss": 6.7268,
+      "mean_token_accuracy": 0.09304728880524635,
+      "num_tokens": 16800.0,
+      "step": 10
+    },
+    {
+      "entropy": 7.134524202346801,
+      "epoch": 0.012427506213753107,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7e-06,
+      "loss": 6.8905,
+      "mean_token_accuracy": 0.0921505056321621,
+      "num_tokens": 26617.0,
+      "step": 15
+    },
+    {
+      "entropy": 7.115550088882446,
+      "epoch": 0.016570008285004142,
+      "grad_norm": 1.25,
+      "learning_rate": 9.5e-06,
+      "loss": 6.8021,
+      "mean_token_accuracy": 0.09268744736909866,
+      "num_tokens": 35855.0,
+      "step": 20
+    },
+    {
+      "entropy": 7.12396879196167,
+      "epoch": 0.020712510356255178,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.2e-05,
+      "loss": 7.0094,
+      "mean_token_accuracy": 0.08752714470028877,
+      "num_tokens": 45644.0,
+      "step": 25
+    },
+    {
+      "entropy": 7.054446792602539,
+      "epoch": 0.024855012427506214,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.4500000000000002e-05,
+      "loss": 6.8922,
+      "mean_token_accuracy": 0.09398627206683159,
+      "num_tokens": 54641.0,
+      "step": 30
+    },
+    {
+      "entropy": 7.012255907058716,
+      "epoch": 0.02899751449875725,
+      "grad_norm": 1.0234375,
+      "learning_rate": 1.7000000000000003e-05,
+      "loss": 6.7519,
+      "mean_token_accuracy": 0.08958807587623596,
+      "num_tokens": 63924.0,
+      "step": 35
+    },
+    {
+      "entropy": 7.068031549453735,
+      "epoch": 0.033140016570008285,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.95e-05,
+      "loss": 6.89,
+      "mean_token_accuracy": 0.09437783882021904,
+      "num_tokens": 73452.0,
+      "step": 40
+    },
+    {
+      "entropy": 7.06072301864624,
+      "epoch": 0.037282518641259324,
+      "grad_norm": 1.0234375,
+      "learning_rate": 2.2e-05,
+      "loss": 6.9455,
+      "mean_token_accuracy": 0.0851291574537754,
+      "num_tokens": 82731.0,
+      "step": 45
+    },
+    {
+      "entropy": 7.090083169937134,
+      "epoch": 0.041425020712510356,
+      "grad_norm": 1.1015625,
+      "learning_rate": 2.4500000000000003e-05,
+      "loss": 6.7734,
+      "mean_token_accuracy": 0.09048294499516488,
+      "num_tokens": 92626.0,
+      "step": 50
+    },
+    {
+      "entropy": 7.149203157424926,
+      "epoch": 0.045567522783761395,
+      "grad_norm": 1.21875,
+      "learning_rate": 2.7e-05,
+      "loss": 6.9497,
+      "mean_token_accuracy": 0.08217904865741729,
+      "num_tokens": 101380.0,
+      "step": 55
+    },
+    {
+      "entropy": 7.119951963424683,
+      "epoch": 0.04971002485501243,
+      "grad_norm": 1.046875,
+      "learning_rate": 2.95e-05,
+      "loss": 6.8604,
+      "mean_token_accuracy": 0.09202293381094932,
+      "num_tokens": 109895.0,
+      "step": 60
+    },
+    {
+      "entropy": 7.2014998435974125,
+      "epoch": 0.053852526926263466,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.2e-05,
+      "loss": 6.8449,
+      "mean_token_accuracy": 0.09257669150829315,
+      "num_tokens": 119203.0,
+      "step": 65
+    },
+    {
+      "entropy": 7.1111664295196535,
+      "epoch": 0.0579950289975145,
+      "grad_norm": 1.1484375,
+      "learning_rate": 3.4500000000000005e-05,
+      "loss": 6.7903,
+      "mean_token_accuracy": 0.09657297283411026,
+      "num_tokens": 127572.0,
+      "step": 70
+    },
+    {
+      "entropy": 7.04930944442749,
+      "epoch": 0.06213753106876554,
+      "grad_norm": 1.03125,
+      "learning_rate": 3.7e-05,
+      "loss": 6.8304,
+      "mean_token_accuracy": 0.09063600301742554,
+      "num_tokens": 137161.0,
+      "step": 75
+    },
+    {
+      "entropy": 7.044711875915527,
+      "epoch": 0.06628003314001657,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.95e-05,
+      "loss": 6.9451,
+      "mean_token_accuracy": 0.08874713778495788,
+      "num_tokens": 145991.0,
+      "step": 80
+    },
+    {
+      "entropy": 7.130092525482178,
+      "epoch": 0.07042253521126761,
+      "grad_norm": 1.0546875,
+      "learning_rate": 4.2000000000000004e-05,
+      "loss": 6.8464,
+      "mean_token_accuracy": 0.08955071866512299,
+      "num_tokens": 154927.0,
+      "step": 85
+    },
+    {
+      "entropy": 7.090402746200562,
+      "epoch": 0.07456503728251865,
+      "grad_norm": 1.34375,
+      "learning_rate": 4.45e-05,
+      "loss": 6.7595,
+      "mean_token_accuracy": 0.09832768961787224,
+      "num_tokens": 163234.0,
+      "step": 90
+    },
+    {
+      "entropy": 7.08957576751709,
+      "epoch": 0.07870753935376967,
+      "grad_norm": 1.015625,
+      "learning_rate": 4.7000000000000004e-05,
+      "loss": 6.7163,
+      "mean_token_accuracy": 0.09379880875349045,
+      "num_tokens": 171554.0,
+      "step": 95
+    },
+    {
+      "entropy": 7.044517278671265,
+      "epoch": 0.08285004142502071,
+      "grad_norm": 1.1328125,
+      "learning_rate": 4.9500000000000004e-05,
+      "loss": 6.8173,
+      "mean_token_accuracy": 0.0955286517739296,
+      "num_tokens": 180171.0,
+      "step": 100
+    },
+    {
+      "entropy": 7.050950908660889,
+      "epoch": 0.08699254349627175,
+      "grad_norm": 1.0859375,
+      "learning_rate": 5.2e-05,
+      "loss": 6.761,
+      "mean_token_accuracy": 0.09741089940071106,
+      "num_tokens": 189216.0,
+      "step": 105
+    },
+    {
+      "entropy": 7.173562717437744,
+      "epoch": 0.09113504556752279,
+      "grad_norm": 1.015625,
+      "learning_rate": 5.45e-05,
+      "loss": 6.9519,
+      "mean_token_accuracy": 0.08675800338387489,
+      "num_tokens": 200022.0,
+      "step": 110
+    },
+    {
+      "entropy": 7.183744478225708,
+      "epoch": 0.09527754763877382,
+      "grad_norm": 1.2265625,
+      "learning_rate": 5.7e-05,
+      "loss": 6.8642,
+      "mean_token_accuracy": 0.09210581332445145,
+      "num_tokens": 208686.0,
+      "step": 115
+    },
+    {
+      "entropy": 7.121539115905762,
+      "epoch": 0.09942004971002485,
+      "grad_norm": 1.1875,
+      "learning_rate": 5.9499999999999996e-05,
+      "loss": 6.8829,
+      "mean_token_accuracy": 0.09462191313505172,
+      "num_tokens": 218266.0,
+      "step": 120
+    },
+    {
+      "entropy": 7.006736946105957,
+      "epoch": 0.1035625517812759,
+      "grad_norm": 1.046875,
+      "learning_rate": 6.2e-05,
+      "loss": 6.7523,
+      "mean_token_accuracy": 0.08771666437387467,
+      "num_tokens": 227658.0,
+      "step": 125
+    },
+    {
+      "entropy": 7.040027761459351,
+      "epoch": 0.10770505385252693,
+      "grad_norm": 1.1015625,
+      "learning_rate": 6.450000000000001e-05,
+      "loss": 6.7014,
+      "mean_token_accuracy": 0.1004502885043621,
+      "num_tokens": 236301.0,
+      "step": 130
+    },
+    {
+      "entropy": 7.106470441818237,
+      "epoch": 0.11184755592377796,
+      "grad_norm": 1.1171875,
+      "learning_rate": 6.7e-05,
+      "loss": 6.8424,
+      "mean_token_accuracy": 0.08812138065695763,
+      "num_tokens": 246355.0,
+      "step": 135
+    },
+    {
+      "entropy": 7.174679756164551,
+      "epoch": 0.115990057995029,
+      "grad_norm": 1.15625,
+      "learning_rate": 6.950000000000001e-05,
+      "loss": 6.8174,
+      "mean_token_accuracy": 0.0924198254942894,
+      "num_tokens": 256023.0,
+      "step": 140
+    },
+    {
+      "entropy": 7.10174069404602,
+      "epoch": 0.12013256006628004,
+      "grad_norm": 0.9921875,
+      "learning_rate": 7.2e-05,
+      "loss": 6.9036,
+      "mean_token_accuracy": 0.08638993799686431,
+      "num_tokens": 266893.0,
+      "step": 145
+    },
+    {
+      "entropy": 7.019921684265137,
+      "epoch": 0.12427506213753108,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7.45e-05,
+      "loss": 6.6606,
+      "mean_token_accuracy": 0.08872481286525727,
+      "num_tokens": 276075.0,
+      "step": 150
+    },
+    {
+      "entropy": 7.042754888534546,
+      "epoch": 0.12841756420878211,
+      "grad_norm": 1.25,
+      "learning_rate": 7.7e-05,
+      "loss": 6.7532,
+      "mean_token_accuracy": 0.09296932220458984,
+      "num_tokens": 285529.0,
+      "step": 155
+    },
+    {
+      "entropy": 7.064399909973145,
+      "epoch": 0.13256006628003314,
+      "grad_norm": 1.15625,
+      "learning_rate": 7.950000000000001e-05,
+      "loss": 6.762,
+      "mean_token_accuracy": 0.09406789913773536,
+      "num_tokens": 294403.0,
+      "step": 160
+    },
+    {
+      "entropy": 7.152362823486328,
+      "epoch": 0.13670256835128416,
+      "grad_norm": 1.28125,
+      "learning_rate": 8.2e-05,
+      "loss": 6.8553,
+      "mean_token_accuracy": 0.09358441680669785,
+      "num_tokens": 303507.0,
+      "step": 165
+    },
+    {
+      "entropy": 7.071487474441528,
+      "epoch": 0.14084507042253522,
+      "grad_norm": 1.21875,
+      "learning_rate": 8.450000000000001e-05,
+      "loss": 6.7534,
+      "mean_token_accuracy": 0.09645206108689308,
+      "num_tokens": 312393.0,
+      "step": 170
+    },
+    {
+      "entropy": 6.956210470199585,
+      "epoch": 0.14498757249378624,
+      "grad_norm": 1.0859375,
+      "learning_rate": 8.7e-05,
+      "loss": 6.7226,
+      "mean_token_accuracy": 0.09953253641724587,
+      "num_tokens": 321309.0,
+      "step": 175
+    },
+    {
+      "entropy": 7.2200812816619875,
+      "epoch": 0.1491300745650373,
+      "grad_norm": 1.1328125,
+      "learning_rate": 8.95e-05,
+      "loss": 6.7879,
+      "mean_token_accuracy": 0.09582221284508705,
+      "num_tokens": 330217.0,
+      "step": 180
+    },
+    {
+      "entropy": 6.964824962615967,
+      "epoch": 0.15327257663628832,
+      "grad_norm": 1.2109375,
+      "learning_rate": 9.2e-05,
+      "loss": 6.8296,
+      "mean_token_accuracy": 0.09584516286849976,
+      "num_tokens": 339587.0,
+      "step": 185
+    },
+    {
+      "entropy": 7.104565525054932,
+      "epoch": 0.15741507870753935,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.45e-05,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.09563353508710862,
+      "num_tokens": 349367.0,
+      "step": 190
+    },
+    {
+      "entropy": 6.90956711769104,
+      "epoch": 0.1615575807787904,
+      "grad_norm": 1.1953125,
+      "learning_rate": 9.7e-05,
+      "loss": 6.6535,
+      "mean_token_accuracy": 0.09533214569091797,
+      "num_tokens": 358272.0,
+      "step": 195
+    },
+    {
+      "entropy": 7.184430170059204,
+      "epoch": 0.16570008285004142,
+      "grad_norm": 1.1875,
+      "learning_rate": 9.95e-05,
+      "loss": 6.8847,
+      "mean_token_accuracy": 0.09342379868030548,
+      "num_tokens": 367709.0,
+      "step": 200
+    },
+    {
+      "entropy": 7.108258152008057,
+      "epoch": 0.16984258492129245,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000102,
+      "loss": 6.7363,
+      "mean_token_accuracy": 0.09321728497743606,
+      "num_tokens": 376180.0,
+      "step": 205
+    },
+    {
+      "entropy": 7.143853282928466,
+      "epoch": 0.1739850869925435,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00010449999999999999,
+      "loss": 6.8927,
+      "mean_token_accuracy": 0.08639989122748375,
+      "num_tokens": 385636.0,
+      "step": 210
+    },
+    {
+      "entropy": 7.005528688430786,
+      "epoch": 0.17812758906379453,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000107,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.10387283116579056,
+      "num_tokens": 394486.0,
+      "step": 215
+    },
+    {
+      "entropy": 7.066776275634766,
+      "epoch": 0.18227009113504558,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0001095,
+      "loss": 6.7286,
+      "mean_token_accuracy": 0.09739693626761436,
+      "num_tokens": 403765.0,
+      "step": 220
+    },
+    {
+      "entropy": 6.9391695022583,
+      "epoch": 0.1864125932062966,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000112,
+      "loss": 6.7198,
+      "mean_token_accuracy": 0.09883175939321517,
+      "num_tokens": 412988.0,
+      "step": 225
+    },
+    {
+      "entropy": 7.029045248031617,
+      "epoch": 0.19055509527754763,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0001145,
+      "loss": 6.6219,
+      "mean_token_accuracy": 0.09850638806819915,
+      "num_tokens": 422096.0,
+      "step": 230
+    },
+    {
+      "entropy": 7.055552911758423,
+      "epoch": 0.19469759734879868,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011700000000000001,
+      "loss": 6.7907,
+      "mean_token_accuracy": 0.08912368193268776,
+      "num_tokens": 431333.0,
+      "step": 235
+    },
+    {
+      "entropy": 7.076433277130127,
+      "epoch": 0.1988400994200497,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00011949999999999999,
+      "loss": 6.825,
+      "mean_token_accuracy": 0.0998022735118866,
+      "num_tokens": 440382.0,
+      "step": 240
+    },
+    {
+      "entropy": 7.098494958877564,
+      "epoch": 0.20298260149130073,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000122,
+      "loss": 6.7184,
+      "mean_token_accuracy": 0.1035430908203125,
+      "num_tokens": 448469.0,
+      "step": 245
+    },
+    {
+      "entropy": 7.065437746047974,
+      "epoch": 0.2071251035625518,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001245,
+      "loss": 6.7562,
+      "mean_token_accuracy": 0.0973759837448597,
+      "num_tokens": 457356.0,
+      "step": 250
+    },
+    {
+      "entropy": 7.103154182434082,
+      "epoch": 0.2112676056338028,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000127,
+      "loss": 6.7821,
+      "mean_token_accuracy": 0.09721289053559304,
+      "num_tokens": 465928.0,
+      "step": 255
+    },
+    {
+      "entropy": 6.99681601524353,
+      "epoch": 0.21541010770505387,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0001295,
+      "loss": 6.6931,
+      "mean_token_accuracy": 0.09931288808584213,
+      "num_tokens": 475269.0,
+      "step": 260
+    },
+    {
+      "entropy": 6.960800266265869,
+      "epoch": 0.2195526097763049,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000132,
+      "loss": 6.679,
+      "mean_token_accuracy": 0.09512786641716957,
+      "num_tokens": 485450.0,
+      "step": 265
+    },
+    {
+      "entropy": 7.0514568328857425,
+      "epoch": 0.22369511184755592,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00013450000000000002,
+      "loss": 6.7347,
+      "mean_token_accuracy": 0.10228226557374001,
+      "num_tokens": 494029.0,
+      "step": 270
+    },
+    {
+      "entropy": 6.9516912460327145,
+      "epoch": 0.22783761391880697,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013700000000000002,
+      "loss": 6.676,
+      "mean_token_accuracy": 0.10202871784567832,
+      "num_tokens": 503253.0,
+      "step": 275
+    },
+    {
+      "entropy": 7.018160057067871,
+      "epoch": 0.231980115990058,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0001395,
+      "loss": 6.6685,
+      "mean_token_accuracy": 0.09529435187578202,
+      "num_tokens": 512857.0,
+      "step": 280
+    },
+    {
+      "entropy": 6.9714985370635985,
+      "epoch": 0.23612261806130902,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00014199999999999998,
+      "loss": 6.7719,
+      "mean_token_accuracy": 0.09288227260112762,
+      "num_tokens": 522319.0,
+      "step": 285
+    },
+    {
+      "entropy": 7.113205528259277,
+      "epoch": 0.24026512013256007,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0001445,
+      "loss": 6.7224,
+      "mean_token_accuracy": 0.09471780881285667,
+      "num_tokens": 531469.0,
+      "step": 290
+    },
+    {
+      "entropy": 6.976934480667114,
+      "epoch": 0.2444076222038111,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000147,
+      "loss": 6.756,
+      "mean_token_accuracy": 0.09480062946677208,
+      "num_tokens": 540470.0,
+      "step": 295
+    },
+    {
+      "entropy": 7.011937475204467,
+      "epoch": 0.24855012427506215,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0001495,
+      "loss": 6.7584,
+      "mean_token_accuracy": 0.09700122326612473,
+      "num_tokens": 550317.0,
+      "step": 300
+    },
+    {
+      "entropy": 7.0365160465240475,
+      "epoch": 0.2526926263463132,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000152,
+      "loss": 6.7067,
+      "mean_token_accuracy": 0.09434132501482964,
+      "num_tokens": 559409.0,
+      "step": 305
+    },
+    {
+      "entropy": 6.928857326507568,
+      "epoch": 0.25683512841756423,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00015450000000000001,
+      "loss": 6.768,
+      "mean_token_accuracy": 0.10764710158109665,
+      "num_tokens": 568726.0,
+      "step": 310
+    },
+    {
+      "entropy": 7.103991413116455,
+      "epoch": 0.2609776304888152,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000157,
+      "loss": 6.7179,
+      "mean_token_accuracy": 0.0976541943848133,
+      "num_tokens": 577926.0,
+      "step": 315
+    },
+    {
+      "entropy": 7.047203779220581,
+      "epoch": 0.2651201325600663,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001595,
+      "loss": 6.7448,
+      "mean_token_accuracy": 0.09809661954641342,
+      "num_tokens": 586695.0,
+      "step": 320
+    },
+    {
+      "entropy": 7.039609956741333,
+      "epoch": 0.26926263463131733,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000162,
+      "loss": 6.771,
+      "mean_token_accuracy": 0.0949723981320858,
+      "num_tokens": 596250.0,
+      "step": 325
+    },
+    {
+      "entropy": 7.063632202148438,
+      "epoch": 0.27340513670256833,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00016450000000000001,
+      "loss": 6.8221,
+      "mean_token_accuracy": 0.09051206335425377,
+      "num_tokens": 605761.0,
+      "step": 330
+    },
+    {
+      "entropy": 7.019326877593994,
+      "epoch": 0.2775476387738194,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00016700000000000002,
+      "loss": 6.7365,
+      "mean_token_accuracy": 0.09872144013643265,
+      "num_tokens": 614313.0,
+      "step": 335
+    },
+    {
+      "entropy": 7.037422132492066,
+      "epoch": 0.28169014084507044,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00016950000000000003,
+      "loss": 6.7692,
+      "mean_token_accuracy": 0.09455474764108658,
+      "num_tokens": 624470.0,
+      "step": 340
+    },
+    {
+      "entropy": 7.039082098007202,
+      "epoch": 0.28583264291632143,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00017199999999999998,
+      "loss": 6.6843,
+      "mean_token_accuracy": 0.09269843101501465,
+      "num_tokens": 633458.0,
+      "step": 345
+    },
+    {
+      "entropy": 6.942268037796021,
+      "epoch": 0.2899751449875725,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00017449999999999999,
+      "loss": 6.6939,
+      "mean_token_accuracy": 0.09877684414386749,
+      "num_tokens": 643251.0,
+      "step": 350
+    },
+    {
+      "entropy": 6.99584732055664,
+      "epoch": 0.29411764705882354,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000177,
+      "loss": 6.7635,
+      "mean_token_accuracy": 0.09713540598750114,
+      "num_tokens": 652005.0,
+      "step": 355
+    },
+    {
+      "entropy": 7.006586170196533,
+      "epoch": 0.2982601491300746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0001795,
+      "loss": 6.6575,
+      "mean_token_accuracy": 0.10120807588100433,
+      "num_tokens": 661003.0,
+      "step": 360
+    },
+    {
+      "entropy": 6.874996137619019,
+      "epoch": 0.3024026512013256,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000182,
+      "loss": 6.6294,
+      "mean_token_accuracy": 0.09844254851341247,
+      "num_tokens": 670221.0,
+      "step": 365
+    },
+    {
+      "entropy": 7.155635738372803,
+      "epoch": 0.30654515327257664,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001845,
+      "loss": 6.9236,
+      "mean_token_accuracy": 0.0882349319756031,
+      "num_tokens": 680756.0,
+      "step": 370
+    },
+    {
+      "entropy": 6.94540753364563,
+      "epoch": 0.3106876553438277,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000187,
+      "loss": 6.6157,
+      "mean_token_accuracy": 0.10289054960012436,
+      "num_tokens": 689641.0,
+      "step": 375
+    },
+    {
+      "entropy": 6.87992377281189,
+      "epoch": 0.3148301574150787,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001895,
+      "loss": 6.5696,
+      "mean_token_accuracy": 0.09839320331811904,
+      "num_tokens": 698209.0,
+      "step": 380
+    },
+    {
+      "entropy": 6.823869276046753,
+      "epoch": 0.31897265948632975,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000192,
+      "loss": 6.5736,
+      "mean_token_accuracy": 0.10355777889490128,
+      "num_tokens": 706712.0,
+      "step": 385
+    },
+    {
+      "entropy": 7.037634468078613,
+      "epoch": 0.3231151615575808,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0001945,
+      "loss": 6.8017,
+      "mean_token_accuracy": 0.09728012606501579,
+      "num_tokens": 716087.0,
+      "step": 390
+    },
+    {
+      "entropy": 6.911249494552612,
+      "epoch": 0.3272576636288318,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00019700000000000002,
+      "loss": 6.6465,
+      "mean_token_accuracy": 0.09347675815224647,
+      "num_tokens": 725913.0,
+      "step": 395
+    },
+    {
+      "entropy": 6.944440317153931,
+      "epoch": 0.33140016570008285,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019950000000000002,
+      "loss": 6.7201,
+      "mean_token_accuracy": 0.10362306237220764,
+      "num_tokens": 735020.0,
+      "step": 400
+    },
+    {
+      "entropy": 6.985636854171753,
+      "epoch": 0.3355426677713339,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000202,
+      "loss": 6.6216,
+      "mean_token_accuracy": 0.09469136893749237,
+      "num_tokens": 744299.0,
+      "step": 405
+    },
+    {
+      "entropy": 6.883630275726318,
+      "epoch": 0.3396851698425849,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00020449999999999998,
+      "loss": 6.6099,
+      "mean_token_accuracy": 0.09694516137242318,
+      "num_tokens": 753231.0,
+      "step": 410
+    },
+    {
+      "entropy": 6.825357389450073,
+      "epoch": 0.34382767191383595,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000207,
+      "loss": 6.6717,
+      "mean_token_accuracy": 0.10230854973196983,
+      "num_tokens": 763043.0,
+      "step": 415
+    },
+    {
+      "entropy": 7.016851997375488,
+      "epoch": 0.347970173985087,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0002095,
+      "loss": 6.6905,
+      "mean_token_accuracy": 0.09913048222661018,
+      "num_tokens": 771977.0,
+      "step": 420
+    },
+    {
+      "entropy": 6.820244407653808,
+      "epoch": 0.352112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000212,
+      "loss": 6.6243,
+      "mean_token_accuracy": 0.1011092983186245,
+      "num_tokens": 780285.0,
+      "step": 425
+    },
+    {
+      "entropy": 6.956075525283813,
+      "epoch": 0.35625517812758906,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002145,
+      "loss": 6.6593,
+      "mean_token_accuracy": 0.09649045094847679,
+      "num_tokens": 789980.0,
+      "step": 430
+    },
+    {
+      "entropy": 6.984846019744873,
+      "epoch": 0.3603976801988401,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021700000000000002,
+      "loss": 6.6275,
+      "mean_token_accuracy": 0.10474459528923034,
+      "num_tokens": 798700.0,
+      "step": 435
+    },
+    {
+      "entropy": 6.767291498184204,
+      "epoch": 0.36454018227009116,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002195,
+      "loss": 6.7208,
+      "mean_token_accuracy": 0.09600067660212516,
+      "num_tokens": 808758.0,
+      "step": 440
+    },
+    {
+      "entropy": 7.046369791030884,
+      "epoch": 0.36868268434134216,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000222,
+      "loss": 6.6666,
+      "mean_token_accuracy": 0.10458802133798599,
+      "num_tokens": 817692.0,
+      "step": 445
+    },
+    {
+      "entropy": 6.95425066947937,
+      "epoch": 0.3728251864125932,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002245,
+      "loss": 6.7146,
+      "mean_token_accuracy": 0.10474570766091347,
+      "num_tokens": 827052.0,
+      "step": 450
+    },
+    {
+      "entropy": 6.895345544815063,
+      "epoch": 0.37696768848384427,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00022700000000000002,
+      "loss": 6.7139,
+      "mean_token_accuracy": 0.1091882586479187,
+      "num_tokens": 836442.0,
+      "step": 455
+    },
+    {
+      "entropy": 6.922871923446655,
+      "epoch": 0.38111019055509526,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00022950000000000002,
+      "loss": 6.5775,
+      "mean_token_accuracy": 0.10118989571928978,
+      "num_tokens": 846441.0,
+      "step": 460
+    },
+    {
+      "entropy": 6.8815388679504395,
+      "epoch": 0.3852526926263463,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00023200000000000003,
+      "loss": 6.6215,
+      "mean_token_accuracy": 0.10475475937128068,
+      "num_tokens": 856108.0,
+      "step": 465
+    },
+    {
+      "entropy": 6.848587274551392,
+      "epoch": 0.38939519469759737,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00023449999999999998,
+      "loss": 6.5833,
+      "mean_token_accuracy": 0.10137399956583977,
+      "num_tokens": 865788.0,
+      "step": 470
+    },
+    {
+      "entropy": 6.886804008483887,
+      "epoch": 0.39353769676884837,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000237,
+      "loss": 6.6302,
+      "mean_token_accuracy": 0.09514767676591873,
+      "num_tokens": 874833.0,
+      "step": 475
+    },
+    {
+      "entropy": 6.751422643661499,
+      "epoch": 0.3976801988400994,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002395,
+      "loss": 6.5997,
+      "mean_token_accuracy": 0.10276172533631325,
+      "num_tokens": 883685.0,
+      "step": 480
+    },
+    {
+      "entropy": 6.881311464309692,
+      "epoch": 0.40182270091135047,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000242,
+      "loss": 6.6001,
+      "mean_token_accuracy": 0.09796027019619942,
+      "num_tokens": 893908.0,
+      "step": 485
+    },
+    {
+      "entropy": 6.934821891784668,
+      "epoch": 0.40596520298260147,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002445,
+      "loss": 6.7142,
+      "mean_token_accuracy": 0.09827135354280472,
+      "num_tokens": 903081.0,
+      "step": 490
+    },
+    {
+      "entropy": 6.7868632793426515,
+      "epoch": 0.4101077050538525,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000247,
+      "loss": 6.5522,
+      "mean_token_accuracy": 0.10336750745773315,
+      "num_tokens": 912515.0,
+      "step": 495
+    },
+    {
+      "entropy": 6.886235475540161,
+      "epoch": 0.4142502071251036,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002495,
+      "loss": 6.5797,
+      "mean_token_accuracy": 0.1070313923060894,
+      "num_tokens": 921056.0,
+      "step": 500
+    },
+    {
+      "epoch": 0.4142502071251036,
+      "eval_entropy": 6.836038604728194,
+      "eval_loss": 6.684774875640869,
+      "eval_mean_token_accuracy": 0.10272799217021034,
+      "eval_num_tokens": 921056.0,
+      "eval_runtime": 2.7891,
+      "eval_samples_per_second": 1343.421,
+      "eval_steps_per_second": 168.152,
+      "step": 500
+    },
+    {
+      "entropy": 6.7657403469085695,
+      "epoch": 0.4183927091963546,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000252,
+      "loss": 6.5317,
+      "mean_token_accuracy": 0.10417452603578567,
+      "num_tokens": 931112.0,
+      "step": 505
+    },
+    {
+      "entropy": 6.821895503997803,
+      "epoch": 0.4225352112676056,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0002545,
+      "loss": 6.6605,
+      "mean_token_accuracy": 0.0978618748486042,
+      "num_tokens": 941120.0,
+      "step": 510
+    },
+    {
+      "entropy": 6.886211729049682,
+      "epoch": 0.4266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000257,
+      "loss": 6.6044,
+      "mean_token_accuracy": 0.09737976416945457,
+      "num_tokens": 950041.0,
+      "step": 515
+    },
+    {
+      "entropy": 6.879851579666138,
+      "epoch": 0.43082021541010773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002595,
+      "loss": 6.5907,
+      "mean_token_accuracy": 0.10606569275259972,
+      "num_tokens": 958608.0,
+      "step": 520
+    },
+    {
+      "entropy": 6.886484861373901,
+      "epoch": 0.43496271748135873,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.000262,
+      "loss": 6.7158,
+      "mean_token_accuracy": 0.09990910813212395,
+      "num_tokens": 966901.0,
+      "step": 525
+    },
+    {
+      "entropy": 6.767313003540039,
+      "epoch": 0.4391052195526098,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026450000000000003,
+      "loss": 6.5504,
+      "mean_token_accuracy": 0.10768762230873108,
+      "num_tokens": 976198.0,
+      "step": 530
+    },
+    {
+      "entropy": 6.892781782150268,
+      "epoch": 0.44324772162386084,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026700000000000004,
+      "loss": 6.624,
+      "mean_token_accuracy": 0.09861580505967141,
+      "num_tokens": 985248.0,
+      "step": 535
+    },
+    {
+      "entropy": 6.772344255447388,
+      "epoch": 0.44739022369511183,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00026950000000000005,
+      "loss": 6.5014,
+      "mean_token_accuracy": 0.1071978710591793,
+      "num_tokens": 993289.0,
+      "step": 540
+    },
+    {
+      "entropy": 6.820696449279785,
+      "epoch": 0.4515327257663629,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027200000000000005,
+      "loss": 6.5909,
+      "mean_token_accuracy": 0.10533165782690049,
+      "num_tokens": 1001784.0,
+      "step": 545
+    },
+    {
+      "entropy": 6.935409688949585,
+      "epoch": 0.45567522783761394,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002745,
+      "loss": 6.5627,
+      "mean_token_accuracy": 0.10804210156202317,
+      "num_tokens": 1010445.0,
+      "step": 550
+    },
+    {
+      "entropy": 6.745790100097656,
+      "epoch": 0.45981772990886494,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000277,
+      "loss": 6.6184,
+      "mean_token_accuracy": 0.10709234476089477,
+      "num_tokens": 1019084.0,
+      "step": 555
+    },
+    {
+      "entropy": 6.7490733623504635,
+      "epoch": 0.463960231980116,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002795,
+      "loss": 6.5249,
+      "mean_token_accuracy": 0.10461713373661041,
+      "num_tokens": 1027263.0,
+      "step": 560
+    },
+    {
+      "entropy": 6.876884937286377,
+      "epoch": 0.46810273405136704,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00028199999999999997,
+      "loss": 6.6233,
+      "mean_token_accuracy": 0.09752989709377288,
+      "num_tokens": 1036275.0,
+      "step": 565
+    },
+    {
+      "entropy": 6.765736055374146,
+      "epoch": 0.47224523612261804,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002845,
+      "loss": 6.7015,
+      "mean_token_accuracy": 0.09858408868312836,
+      "num_tokens": 1045208.0,
+      "step": 570
+    },
+    {
+      "entropy": 6.9024957656860355,
+      "epoch": 0.4763877381938691,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000287,
+      "loss": 6.6287,
+      "mean_token_accuracy": 0.1026283286511898,
+      "num_tokens": 1054703.0,
+      "step": 575
+    },
+    {
+      "entropy": 6.647345924377442,
+      "epoch": 0.48053024026512015,
+      "grad_norm": 1.5,
+      "learning_rate": 0.0002895,
+      "loss": 6.4841,
+      "mean_token_accuracy": 0.10212503597140313,
+      "num_tokens": 1063652.0,
+      "step": 580
+    },
+    {
+      "entropy": 6.717900657653809,
+      "epoch": 0.48467274233637114,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000292,
+      "loss": 6.5873,
+      "mean_token_accuracy": 0.10145951434969902,
+      "num_tokens": 1072070.0,
+      "step": 585
+    },
+    {
+      "entropy": 6.997959756851197,
+      "epoch": 0.4888152444076222,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002945,
+      "loss": 6.6143,
+      "mean_token_accuracy": 0.10064447894692422,
+      "num_tokens": 1079992.0,
+      "step": 590
+    },
+    {
+      "entropy": 6.657160854339599,
+      "epoch": 0.49295774647887325,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000297,
+      "loss": 6.628,
+      "mean_token_accuracy": 0.10435748845338821,
+      "num_tokens": 1088862.0,
+      "step": 595
+    },
+    {
+      "entropy": 6.773271942138672,
+      "epoch": 0.4971002485501243,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002995,
+      "loss": 6.4317,
+      "mean_token_accuracy": 0.10795770138502121,
+      "num_tokens": 1097614.0,
+      "step": 600
+    },
+    {
+      "entropy": 6.7102379322052,
+      "epoch": 0.5012427506213754,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000302,
+      "loss": 6.6288,
+      "mean_token_accuracy": 0.10706980749964715,
+      "num_tokens": 1107347.0,
+      "step": 605
+    },
+    {
+      "entropy": 6.8672473430633545,
+      "epoch": 0.5053852526926264,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003045,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10073774978518486,
+      "num_tokens": 1116707.0,
+      "step": 610
+    },
+    {
+      "entropy": 6.764383840560913,
+      "epoch": 0.5095277547638773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000307,
+      "loss": 6.6549,
+      "mean_token_accuracy": 0.10234303548932075,
+      "num_tokens": 1126356.0,
+      "step": 615
+    },
+    {
+      "entropy": 6.787193298339844,
+      "epoch": 0.5136702568351285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003095,
+      "loss": 6.5847,
+      "mean_token_accuracy": 0.10079671740531922,
+      "num_tokens": 1136281.0,
+      "step": 620
+    },
+    {
+      "entropy": 6.713733196258545,
+      "epoch": 0.5178127589063795,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000312,
+      "loss": 6.5355,
+      "mean_token_accuracy": 0.10429632142186165,
+      "num_tokens": 1145466.0,
+      "step": 625
+    },
+    {
+      "entropy": 6.7503923892974855,
+      "epoch": 0.5219552609776305,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003145,
+      "loss": 6.5409,
+      "mean_token_accuracy": 0.10918259546160698,
+      "num_tokens": 1154225.0,
+      "step": 630
+    },
+    {
+      "entropy": 6.761834907531738,
+      "epoch": 0.5260977630488816,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000317,
+      "loss": 6.5885,
+      "mean_token_accuracy": 0.09673135951161385,
+      "num_tokens": 1163872.0,
+      "step": 635
+    },
+    {
+      "entropy": 6.69431324005127,
+      "epoch": 0.5302402651201326,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003195,
+      "loss": 6.5244,
+      "mean_token_accuracy": 0.10705070868134499,
+      "num_tokens": 1172695.0,
+      "step": 640
+    },
+    {
+      "entropy": 6.651590061187744,
+      "epoch": 0.5343827671913836,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000322,
+      "loss": 6.3962,
+      "mean_token_accuracy": 0.11006554961204529,
+      "num_tokens": 1181291.0,
+      "step": 645
+    },
+    {
+      "entropy": 6.782713270187378,
+      "epoch": 0.5385252692626347,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00032450000000000003,
+      "loss": 6.5715,
+      "mean_token_accuracy": 0.10394523739814758,
+      "num_tokens": 1189927.0,
+      "step": 650
+    },
+    {
+      "entropy": 6.705166435241699,
+      "epoch": 0.5426677713338857,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00032700000000000003,
+      "loss": 6.5043,
+      "mean_token_accuracy": 0.10940467119216919,
+      "num_tokens": 1197913.0,
+      "step": 655
+    },
+    {
+      "entropy": 6.670699262619019,
+      "epoch": 0.5468102734051367,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032950000000000004,
+      "loss": 6.4309,
+      "mean_token_accuracy": 0.11147961542010307,
+      "num_tokens": 1207032.0,
+      "step": 660
+    },
+    {
+      "entropy": 6.640204334259034,
+      "epoch": 0.5509527754763878,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00033200000000000005,
+      "loss": 6.5397,
+      "mean_token_accuracy": 0.10571447387337685,
+      "num_tokens": 1215710.0,
+      "step": 665
+    },
+    {
+      "entropy": 6.694819068908691,
+      "epoch": 0.5550952775476388,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033450000000000005,
+      "loss": 6.52,
+      "mean_token_accuracy": 0.10049431845545768,
+      "num_tokens": 1225619.0,
+      "step": 670
+    },
+    {
+      "entropy": 6.649594163894653,
+      "epoch": 0.5592377796188898,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000337,
+      "loss": 6.4407,
+      "mean_token_accuracy": 0.11157044768333435,
+      "num_tokens": 1235000.0,
+      "step": 675
+    },
+    {
+      "entropy": 6.612611961364746,
+      "epoch": 0.5633802816901409,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003395,
+      "loss": 6.4462,
+      "mean_token_accuracy": 0.108580531924963,
+      "num_tokens": 1243594.0,
+      "step": 680
+    },
+    {
+      "entropy": 6.843221950531006,
+      "epoch": 0.5675227837613919,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000342,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10460855960845947,
+      "num_tokens": 1252279.0,
+      "step": 685
+    },
+    {
+      "entropy": 6.760235929489136,
+      "epoch": 0.5716652858326429,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034449999999999997,
+      "loss": 6.559,
+      "mean_token_accuracy": 0.10665302500128745,
+      "num_tokens": 1261314.0,
+      "step": 690
+    },
+    {
+      "entropy": 6.55326566696167,
+      "epoch": 0.575807787903894,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000347,
+      "loss": 6.4337,
+      "mean_token_accuracy": 0.11188110187649727,
+      "num_tokens": 1270854.0,
+      "step": 695
+    },
+    {
+      "entropy": 6.618375587463379,
+      "epoch": 0.579950289975145,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003495,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.11392810270190239,
+      "num_tokens": 1279183.0,
+      "step": 700
+    },
+    {
+      "entropy": 6.626208257675171,
+      "epoch": 0.584092792046396,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000352,
+      "loss": 6.5015,
+      "mean_token_accuracy": 0.10761247500777245,
+      "num_tokens": 1288347.0,
+      "step": 705
+    },
+    {
+      "entropy": 6.6855669021606445,
+      "epoch": 0.5882352941176471,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003545,
+      "loss": 6.5036,
+      "mean_token_accuracy": 0.10823310390114785,
+      "num_tokens": 1297449.0,
+      "step": 710
+    },
+    {
+      "entropy": 6.710147094726563,
+      "epoch": 0.5923777961888981,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000357,
+      "loss": 6.4688,
+      "mean_token_accuracy": 0.10904998034238815,
+      "num_tokens": 1306232.0,
+      "step": 715
+    },
+    {
+      "entropy": 6.6553794860839846,
+      "epoch": 0.5965202982601492,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003595,
+      "loss": 6.4857,
+      "mean_token_accuracy": 0.11109372302889824,
+      "num_tokens": 1315073.0,
+      "step": 720
+    },
+    {
+      "entropy": 6.674065732955933,
+      "epoch": 0.6006628003314002,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000362,
+      "loss": 6.5301,
+      "mean_token_accuracy": 0.10648825243115426,
+      "num_tokens": 1324629.0,
+      "step": 725
+    },
+    {
+      "entropy": 6.700368881225586,
+      "epoch": 0.6048053024026512,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0003645,
+      "loss": 6.6444,
+      "mean_token_accuracy": 0.10443340390920638,
+      "num_tokens": 1334152.0,
+      "step": 730
+    },
+    {
+      "entropy": 6.779498624801636,
+      "epoch": 0.6089478044739023,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000367,
+      "loss": 6.5946,
+      "mean_token_accuracy": 0.10130336955189705,
+      "num_tokens": 1343063.0,
+      "step": 735
+    },
+    {
+      "entropy": 6.684298419952393,
+      "epoch": 0.6130903065451533,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0003695,
+      "loss": 6.5241,
+      "mean_token_accuracy": 0.10516620799899101,
+      "num_tokens": 1352632.0,
+      "step": 740
+    },
+    {
+      "entropy": 6.582866573333741,
+      "epoch": 0.6172328086164043,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000372,
+      "loss": 6.4712,
+      "mean_token_accuracy": 0.10765027329325676,
+      "num_tokens": 1361103.0,
+      "step": 745
+    },
+    {
+      "entropy": 6.643687963485718,
+      "epoch": 0.6213753106876554,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003745,
+      "loss": 6.4642,
+      "mean_token_accuracy": 0.10832677409052849,
+      "num_tokens": 1370658.0,
+      "step": 750
+    },
+    {
+      "entropy": 6.64506516456604,
+      "epoch": 0.6255178127589064,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000377,
+      "loss": 6.4878,
+      "mean_token_accuracy": 0.10808288529515267,
+      "num_tokens": 1379817.0,
+      "step": 755
+    },
+    {
+      "entropy": 6.640752458572388,
+      "epoch": 0.6296603148301574,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003795,
+      "loss": 6.4418,
+      "mean_token_accuracy": 0.10874675288796425,
+      "num_tokens": 1389329.0,
+      "step": 760
+    },
+    {
+      "entropy": 6.4627049446105955,
+      "epoch": 0.6338028169014085,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000382,
+      "loss": 6.4902,
+      "mean_token_accuracy": 0.10606684386730195,
+      "num_tokens": 1399279.0,
+      "step": 765
+    },
+    {
+      "entropy": 6.621781063079834,
+      "epoch": 0.6379453189726595,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003845,
+      "loss": 6.4146,
+      "mean_token_accuracy": 0.11267002299427986,
+      "num_tokens": 1408765.0,
+      "step": 770
+    },
+    {
+      "entropy": 6.736465692520142,
+      "epoch": 0.6420878210439105,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038700000000000003,
+      "loss": 6.5632,
+      "mean_token_accuracy": 0.10607504546642303,
+      "num_tokens": 1418615.0,
+      "step": 775
+    },
+    {
+      "entropy": 6.616378879547119,
+      "epoch": 0.6462303231151616,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038950000000000003,
+      "loss": 6.4664,
+      "mean_token_accuracy": 0.10207068845629692,
+      "num_tokens": 1427359.0,
+      "step": 780
+    },
+    {
+      "entropy": 6.70065336227417,
+      "epoch": 0.6503728251864126,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00039200000000000004,
+      "loss": 6.622,
+      "mean_token_accuracy": 0.1116428442299366,
+      "num_tokens": 1435516.0,
+      "step": 785
+    },
+    {
+      "entropy": 6.709064102172851,
+      "epoch": 0.6545153272576636,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00039450000000000005,
+      "loss": 6.5704,
+      "mean_token_accuracy": 0.10583743155002594,
+      "num_tokens": 1444438.0,
+      "step": 790
+    },
+    {
+      "entropy": 6.671351766586303,
+      "epoch": 0.6586578293289147,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00039700000000000005,
+      "loss": 6.4996,
+      "mean_token_accuracy": 0.11326526403427124,
+      "num_tokens": 1453740.0,
+      "step": 795
+    },
+    {
+      "entropy": 6.614573907852173,
+      "epoch": 0.6628003314001657,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003995,
+      "loss": 6.4874,
+      "mean_token_accuracy": 0.11111863479018211,
+      "num_tokens": 1462083.0,
+      "step": 800
+    },
+    {
+      "entropy": 6.484545516967773,
+      "epoch": 0.6669428334714167,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000402,
+      "loss": 6.4127,
+      "mean_token_accuracy": 0.1100592203438282,
+      "num_tokens": 1471459.0,
+      "step": 805
+    },
+    {
+      "entropy": 6.621589279174804,
+      "epoch": 0.6710853355426678,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004045,
+      "loss": 6.3972,
+      "mean_token_accuracy": 0.11681128293275833,
+      "num_tokens": 1480516.0,
+      "step": 810
+    },
+    {
+      "entropy": 6.421737241744995,
+      "epoch": 0.6752278376139188,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00040699999999999997,
+      "loss": 6.3,
+      "mean_token_accuracy": 0.11318568140268326,
+      "num_tokens": 1489268.0,
+      "step": 815
+    },
+    {
+      "entropy": 6.700246906280517,
+      "epoch": 0.6793703396851698,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004095,
+      "loss": 6.5174,
+      "mean_token_accuracy": 0.11110908538103104,
+      "num_tokens": 1498819.0,
+      "step": 820
+    },
+    {
+      "entropy": 6.622490644454956,
+      "epoch": 0.6835128417564209,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000412,
+      "loss": 6.501,
+      "mean_token_accuracy": 0.11033953949809075,
+      "num_tokens": 1507852.0,
+      "step": 825
+    },
+    {
+      "entropy": 6.59730544090271,
+      "epoch": 0.6876553438276719,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004145,
+      "loss": 6.5302,
+      "mean_token_accuracy": 0.11122860461473465,
+      "num_tokens": 1517538.0,
+      "step": 830
+    },
+    {
+      "entropy": 6.458763217926025,
+      "epoch": 0.6917978458989229,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000417,
+      "loss": 6.4061,
+      "mean_token_accuracy": 0.11324542313814163,
+      "num_tokens": 1525389.0,
+      "step": 835
+    },
+    {
+      "entropy": 6.57511887550354,
+      "epoch": 0.695940347970174,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004195,
+      "loss": 6.3741,
+      "mean_token_accuracy": 0.11116622686386109,
+      "num_tokens": 1534117.0,
+      "step": 840
+    },
+    {
+      "entropy": 6.522304344177246,
+      "epoch": 0.700082850041425,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000422,
+      "loss": 6.4029,
+      "mean_token_accuracy": 0.11315450444817543,
+      "num_tokens": 1542610.0,
+      "step": 845
+    },
+    {
+      "entropy": 6.5175107479095455,
+      "epoch": 0.704225352112676,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004245,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.1143906556069851,
+      "num_tokens": 1551771.0,
+      "step": 850
+    },
+    {
+      "entropy": 6.620167636871338,
+      "epoch": 0.7083678541839271,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.000427,
+      "loss": 6.5779,
+      "mean_token_accuracy": 0.10512799099087715,
+      "num_tokens": 1560231.0,
+      "step": 855
+    },
+    {
+      "entropy": 6.589151382446289,
+      "epoch": 0.7125103562551781,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004295,
+      "loss": 6.5346,
+      "mean_token_accuracy": 0.10532297939062119,
+      "num_tokens": 1569578.0,
+      "step": 860
+    },
+    {
+      "entropy": 6.563750839233398,
+      "epoch": 0.7166528583264291,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000432,
+      "loss": 6.4187,
+      "mean_token_accuracy": 0.11381370946764946,
+      "num_tokens": 1579308.0,
+      "step": 865
+    },
+    {
+      "entropy": 6.597287034988403,
+      "epoch": 0.7207953603976802,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004345,
+      "loss": 6.6081,
+      "mean_token_accuracy": 0.10267190784215927,
+      "num_tokens": 1589506.0,
+      "step": 870
+    },
+    {
+      "entropy": 6.482245397567749,
+      "epoch": 0.7249378624689312,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000437,
+      "loss": 6.3671,
+      "mean_token_accuracy": 0.11368186473846435,
+      "num_tokens": 1598127.0,
+      "step": 875
+    },
+    {
+      "entropy": 6.548954200744629,
+      "epoch": 0.7290803645401823,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004395,
+      "loss": 6.4125,
+      "mean_token_accuracy": 0.11406067088246345,
+      "num_tokens": 1608073.0,
+      "step": 880
+    },
+    {
+      "entropy": 6.551317119598389,
+      "epoch": 0.7332228666114333,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000442,
+      "loss": 6.4304,
+      "mean_token_accuracy": 0.11178040653467178,
+      "num_tokens": 1616272.0,
+      "step": 885
+    },
+    {
+      "entropy": 6.496135663986206,
+      "epoch": 0.7373653686826843,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004445,
+      "loss": 6.447,
+      "mean_token_accuracy": 0.10845504105091094,
+      "num_tokens": 1625577.0,
+      "step": 890
+    },
+    {
+      "entropy": 6.685812950134277,
+      "epoch": 0.7415078707539354,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000447,
+      "loss": 6.533,
+      "mean_token_accuracy": 0.10158233270049095,
+      "num_tokens": 1634902.0,
+      "step": 895
+    },
+    {
+      "entropy": 6.520436191558838,
+      "epoch": 0.7456503728251864,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00044950000000000003,
+      "loss": 6.4674,
+      "mean_token_accuracy": 0.10865833014249801,
+      "num_tokens": 1644131.0,
+      "step": 900
+    },
+    {
+      "entropy": 6.461379718780518,
+      "epoch": 0.7497928748964374,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00045200000000000004,
+      "loss": 6.3694,
+      "mean_token_accuracy": 0.12158194407820702,
+      "num_tokens": 1652272.0,
+      "step": 905
+    },
+    {
+      "entropy": 6.533070278167725,
+      "epoch": 0.7539353769676885,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00045450000000000004,
+      "loss": 6.4632,
+      "mean_token_accuracy": 0.11447574123740197,
+      "num_tokens": 1660962.0,
+      "step": 910
+    },
+    {
+      "entropy": 6.475569725036621,
+      "epoch": 0.7580778790389395,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045700000000000005,
+      "loss": 6.4006,
+      "mean_token_accuracy": 0.11205699220299721,
+      "num_tokens": 1670570.0,
+      "step": 915
+    },
+    {
+      "entropy": 6.526782608032226,
+      "epoch": 0.7622203811101905,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00045950000000000006,
+      "loss": 6.4497,
+      "mean_token_accuracy": 0.1096197433769703,
+      "num_tokens": 1679674.0,
+      "step": 920
+    },
+    {
+      "entropy": 6.530770015716553,
+      "epoch": 0.7663628831814416,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000462,
+      "loss": 6.4324,
+      "mean_token_accuracy": 0.11466658413410187,
+      "num_tokens": 1688849.0,
+      "step": 925
+    },
+    {
+      "entropy": 6.4163538932800295,
+      "epoch": 0.7705053852526926,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004645,
+      "loss": 6.3128,
+      "mean_token_accuracy": 0.1098814107477665,
+      "num_tokens": 1698565.0,
+      "step": 930
+    },
+    {
+      "entropy": 6.5036052703857425,
+      "epoch": 0.7746478873239436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000467,
+      "loss": 6.3986,
+      "mean_token_accuracy": 0.11683695837855339,
+      "num_tokens": 1708009.0,
+      "step": 935
+    },
+    {
+      "entropy": 6.518198871612549,
+      "epoch": 0.7787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004695,
+      "loss": 6.3878,
+      "mean_token_accuracy": 0.1126109592616558,
+      "num_tokens": 1716497.0,
+      "step": 940
+    },
+    {
+      "entropy": 6.415347719192505,
+      "epoch": 0.7829328914664457,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000472,
+      "loss": 6.4082,
+      "mean_token_accuracy": 0.12070046439766884,
+      "num_tokens": 1725609.0,
+      "step": 945
+    },
+    {
+      "entropy": 6.477306175231933,
+      "epoch": 0.7870753935376967,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004745,
+      "loss": 6.3456,
+      "mean_token_accuracy": 0.11454906165599824,
+      "num_tokens": 1734165.0,
+      "step": 950
+    },
+    {
+      "entropy": 6.454520893096924,
+      "epoch": 0.7912178956089478,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000477,
+      "loss": 6.4546,
+      "mean_token_accuracy": 0.10918105840682983,
+      "num_tokens": 1744856.0,
+      "step": 955
+    },
+    {
+      "entropy": 6.4711943626403805,
+      "epoch": 0.7953603976801988,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004795,
+      "loss": 6.4509,
+      "mean_token_accuracy": 0.10578904524445534,
+      "num_tokens": 1753386.0,
+      "step": 960
+    },
+    {
+      "entropy": 6.4536961078643795,
+      "epoch": 0.7995028997514498,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000482,
+      "loss": 6.3053,
+      "mean_token_accuracy": 0.11872726455330848,
+      "num_tokens": 1762521.0,
+      "step": 965
+    },
+    {
+      "entropy": 6.34936490058899,
+      "epoch": 0.8036454018227009,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004845,
+      "loss": 6.3765,
+      "mean_token_accuracy": 0.11444728896021843,
+      "num_tokens": 1772403.0,
+      "step": 970
+    },
+    {
+      "entropy": 6.375087881088257,
+      "epoch": 0.8077879038939519,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000487,
+      "loss": 6.2884,
+      "mean_token_accuracy": 0.11179185584187508,
+      "num_tokens": 1780924.0,
+      "step": 975
+    },
+    {
+      "entropy": 6.547906732559204,
+      "epoch": 0.8119304059652029,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004895,
+      "loss": 6.4367,
+      "mean_token_accuracy": 0.11225800514221192,
+      "num_tokens": 1789992.0,
+      "step": 980
+    },
+    {
+      "entropy": 6.421040678024292,
+      "epoch": 0.816072908036454,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000492,
+      "loss": 6.3919,
+      "mean_token_accuracy": 0.11761699616909027,
+      "num_tokens": 1799513.0,
+      "step": 985
+    },
+    {
+      "entropy": 6.332476711273193,
+      "epoch": 0.820215410107705,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0004945,
+      "loss": 6.2287,
+      "mean_token_accuracy": 0.11279567033052444,
+      "num_tokens": 1807393.0,
+      "step": 990
+    },
+    {
+      "entropy": 6.438618326187134,
+      "epoch": 0.824357912178956,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000497,
+      "loss": 6.5079,
+      "mean_token_accuracy": 0.10579989776015282,
+      "num_tokens": 1817284.0,
+      "step": 995
+    },
+    {
+      "entropy": 6.449818515777588,
+      "epoch": 0.8285004142502072,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004995,
+      "loss": 6.2996,
+      "mean_token_accuracy": 0.11799877136945724,
+      "num_tokens": 1825591.0,
+      "step": 1000
+    },
+    {
+      "epoch": 0.8285004142502072,
+      "eval_entropy": 6.222835092402216,
+      "eval_loss": 6.475013256072998,
+      "eval_mean_token_accuracy": 0.11269166863866961,
+      "eval_num_tokens": 1825591.0,
+      "eval_runtime": 2.7611,
+      "eval_samples_per_second": 1357.068,
+      "eval_steps_per_second": 169.86,
+      "step": 1000
+    },
+    {
+      "entropy": 6.457831478118896,
+      "epoch": 0.8326429163214581,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0004999998547681232,
+      "loss": 6.3959,
+      "mean_token_accuracy": 0.11798396334052086,
+      "num_tokens": 1834655.0,
+      "step": 1005
+    },
+    {
+      "entropy": 6.26599349975586,
+      "epoch": 0.8367854183927091,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004999992647639447,
+      "loss": 6.2578,
+      "mean_token_accuracy": 0.11858200430870056,
+      "num_tokens": 1844187.0,
+      "step": 1010
+    },
+    {
+      "entropy": 6.415271520614624,
+      "epoch": 0.8409279204639603,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999982209116618,
+      "loss": 6.3345,
+      "mean_token_accuracy": 0.11406200677156449,
+      "num_tokens": 1852768.0,
+      "step": 1015
+    },
+    {
+      "entropy": 6.355557584762574,
+      "epoch": 0.8450704225352113,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004999967232133796,
+      "loss": 6.3913,
+      "mean_token_accuracy": 0.12348653748631477,
+      "num_tokens": 1862095.0,
+      "step": 1020
+    },
+    {
+      "entropy": 6.427043008804321,
+      "epoch": 0.8492129246064622,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004999947716721196,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.10961534604430198,
+      "num_tokens": 1871239.0,
+      "step": 1025
+    },
+    {
+      "entropy": 6.509608554840088,
+      "epoch": 0.8533554266777134,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004999923662918179,
+      "loss": 6.4323,
+      "mean_token_accuracy": 0.11334251016378402,
+      "num_tokens": 1880065.0,
+      "step": 1030
+    },
+    {
+      "entropy": 6.417975521087646,
+      "epoch": 0.8574979287489644,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999895070773266,
+      "loss": 6.4608,
+      "mean_token_accuracy": 0.10985229611396789,
+      "num_tokens": 1889065.0,
+      "step": 1035
+    },
+    {
+      "entropy": 6.429206514358521,
+      "epoch": 0.8616404308202155,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999861940344129,
+      "loss": 6.4721,
+      "mean_token_accuracy": 0.11190373301506043,
+      "num_tokens": 1898238.0,
+      "step": 1040
+    },
+    {
+      "entropy": 6.462369585037232,
+      "epoch": 0.8657829328914665,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004999824271697597,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.12136606723070145,
+      "num_tokens": 1906780.0,
+      "step": 1045
+    },
+    {
+      "entropy": 6.506088638305664,
+      "epoch": 0.8699254349627175,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000499978206490965,
+      "loss": 6.4745,
+      "mean_token_accuracy": 0.11197563111782075,
+      "num_tokens": 1916183.0,
+      "step": 1050
+    },
+    {
+      "entropy": 6.427097368240356,
+      "epoch": 0.8740679370339686,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999735320065427,
+      "loss": 6.3371,
+      "mean_token_accuracy": 0.11927392706274986,
+      "num_tokens": 1925382.0,
+      "step": 1055
+    },
+    {
+      "entropy": 6.292429256439209,
+      "epoch": 0.8782104391052196,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999684037259216,
+      "loss": 6.1827,
+      "mean_token_accuracy": 0.1270924136042595,
+      "num_tokens": 1933639.0,
+      "step": 1060
+    },
+    {
+      "entropy": 6.3600146770477295,
+      "epoch": 0.8823529411764706,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999628216594456,
+      "loss": 6.464,
+      "mean_token_accuracy": 0.11409285366535186,
+      "num_tokens": 1943044.0,
+      "step": 1065
+    },
+    {
+      "entropy": 6.460871028900146,
+      "epoch": 0.8864954432477217,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000499956785818375,
+      "loss": 6.303,
+      "mean_token_accuracy": 0.11871922463178634,
+      "num_tokens": 1951777.0,
+      "step": 1070
+    },
+    {
+      "entropy": 6.376981210708618,
+      "epoch": 0.8906379453189727,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004999502962148843,
+      "loss": 6.3666,
+      "mean_token_accuracy": 0.1170460693538189,
+      "num_tokens": 1961356.0,
+      "step": 1075
+    },
+    {
+      "entropy": 6.439280414581299,
+      "epoch": 0.8947804473902237,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000499943352862064,
+      "loss": 6.4248,
+      "mean_token_accuracy": 0.11459407210350037,
+      "num_tokens": 1970341.0,
+      "step": 1080
+    },
+    {
+      "entropy": 6.394289827346801,
+      "epoch": 0.8989229494614748,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004999359557739194,
+      "loss": 6.2796,
+      "mean_token_accuracy": 0.12198276743292809,
+      "num_tokens": 1978576.0,
+      "step": 1085
+    },
+    {
+      "entropy": 6.319045782089233,
+      "epoch": 0.9030654515327258,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004999281049653713,
+      "loss": 6.3227,
+      "mean_token_accuracy": 0.11601013913750649,
+      "num_tokens": 1987229.0,
+      "step": 1090
+    },
+    {
+      "entropy": 6.376017141342163,
+      "epoch": 0.9072079536039768,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999198004522557,
+      "loss": 6.261,
+      "mean_token_accuracy": 0.12269015237689018,
+      "num_tokens": 1996473.0,
+      "step": 1095
+    },
+    {
+      "entropy": 6.2405853271484375,
+      "epoch": 0.9113504556752279,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999110422513237,
+      "loss": 6.286,
+      "mean_token_accuracy": 0.12056776732206345,
+      "num_tokens": 2005551.0,
+      "step": 1100
+    },
+    {
+      "entropy": 6.398191165924072,
+      "epoch": 0.9154929577464789,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999018303802414,
+      "loss": 6.3869,
+      "mean_token_accuracy": 0.11947718560695648,
+      "num_tokens": 2015012.0,
+      "step": 1105
+    },
+    {
+      "entropy": 6.374700450897217,
+      "epoch": 0.9196354598177299,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004998921648575904,
+      "loss": 6.3999,
+      "mean_token_accuracy": 0.1203969657421112,
+      "num_tokens": 2024435.0,
+      "step": 1110
+    },
+    {
+      "entropy": 6.380674362182617,
+      "epoch": 0.923777961888981,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004998820457028669,
+      "loss": 6.3005,
+      "mean_token_accuracy": 0.12089794874191284,
+      "num_tokens": 2033991.0,
+      "step": 1115
+    },
+    {
+      "entropy": 6.409522771835327,
+      "epoch": 0.927920463960232,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998714729364824,
+      "loss": 6.3017,
+      "mean_token_accuracy": 0.1228084571659565,
+      "num_tokens": 2043117.0,
+      "step": 1120
+    },
+    {
+      "entropy": 6.326260423660278,
+      "epoch": 0.932062966031483,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004998604465797634,
+      "loss": 6.3305,
+      "mean_token_accuracy": 0.11992078274488449,
+      "num_tokens": 2052304.0,
+      "step": 1125
+    },
+    {
+      "entropy": 6.251798295974732,
+      "epoch": 0.9362054681027341,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998489666549512,
+      "loss": 6.2779,
+      "mean_token_accuracy": 0.12114684730768203,
+      "num_tokens": 2061217.0,
+      "step": 1130
+    },
+    {
+      "entropy": 6.319644594192505,
+      "epoch": 0.9403479701739851,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.0004998370331852021,
+      "loss": 6.2517,
+      "mean_token_accuracy": 0.11879112273454666,
+      "num_tokens": 2070796.0,
+      "step": 1135
+    },
+    {
+      "entropy": 6.465651321411133,
+      "epoch": 0.9444904722452361,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004998246461945872,
+      "loss": 6.4037,
+      "mean_token_accuracy": 0.12191760018467904,
+      "num_tokens": 2080202.0,
+      "step": 1140
+    },
+    {
+      "entropy": 6.320812797546386,
+      "epoch": 0.9486329743164872,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004998118057080923,
+      "loss": 6.3045,
+      "mean_token_accuracy": 0.11891168132424354,
+      "num_tokens": 2089788.0,
+      "step": 1145
+    },
+    {
+      "entropy": 6.301202344894409,
+      "epoch": 0.9527754763877382,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004997985117516183,
+      "loss": 6.3462,
+      "mean_token_accuracy": 0.11142431199550629,
+      "num_tokens": 2098727.0,
+      "step": 1150
+    },
+    {
+      "entropy": 6.344118309020996,
+      "epoch": 0.9569179784589892,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997847643519803,
+      "loss": 6.226,
+      "mean_token_accuracy": 0.11924557387828827,
+      "num_tokens": 2107645.0,
+      "step": 1155
+    },
+    {
+      "entropy": 6.1790977954864506,
+      "epoch": 0.9610604805302403,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997705635369085,
+      "loss": 6.1991,
+      "mean_token_accuracy": 0.11988648250699044,
+      "num_tokens": 2116613.0,
+      "step": 1160
+    },
+    {
+      "entropy": 6.284418439865112,
+      "epoch": 0.9652029826014913,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004997559093350474,
+      "loss": 6.1881,
+      "mean_token_accuracy": 0.12116428092122078,
+      "num_tokens": 2125585.0,
+      "step": 1165
+    },
+    {
+      "entropy": 6.396596622467041,
+      "epoch": 0.9693454846727423,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004997408017759562,
+      "loss": 6.3359,
+      "mean_token_accuracy": 0.11936862170696258,
+      "num_tokens": 2134795.0,
+      "step": 1170
+    },
+    {
+      "entropy": 6.273751878738404,
+      "epoch": 0.9734879867439934,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004997252408901084,
+      "loss": 6.3271,
+      "mean_token_accuracy": 0.11899949684739113,
+      "num_tokens": 2143699.0,
+      "step": 1175
+    },
+    {
+      "entropy": 6.386678028106689,
+      "epoch": 0.9776304888152444,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004997092267088922,
+      "loss": 6.2707,
+      "mean_token_accuracy": 0.11861606612801552,
+      "num_tokens": 2152187.0,
+      "step": 1180
+    },
+    {
+      "entropy": 6.275117111206055,
+      "epoch": 0.9817729908864954,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004996927592646097,
+      "loss": 6.3412,
+      "mean_token_accuracy": 0.11767763197422028,
+      "num_tokens": 2160941.0,
+      "step": 1185
+    },
+    {
+      "entropy": 6.339710283279419,
+      "epoch": 0.9859154929577465,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004996758385904776,
+      "loss": 6.3119,
+      "mean_token_accuracy": 0.11789651140570641,
+      "num_tokens": 2168946.0,
+      "step": 1190
+    },
+    {
+      "entropy": 6.181374216079712,
+      "epoch": 0.9900579950289975,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004996584647206269,
+      "loss": 6.2237,
+      "mean_token_accuracy": 0.12055367529392243,
+      "num_tokens": 2177662.0,
+      "step": 1195
+    },
+    {
+      "entropy": 6.316773986816406,
+      "epoch": 0.9942004971002486,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004996406376901026,
+      "loss": 6.3268,
+      "mean_token_accuracy": 0.12757316455245019,
+      "num_tokens": 2187461.0,
+      "step": 1200
+    },
+    {
+      "entropy": 6.283385133743286,
+      "epoch": 0.9983429991714996,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004996223575348635,
+      "loss": 6.2207,
+      "mean_token_accuracy": 0.12578138560056687,
+      "num_tokens": 2196878.0,
+      "step": 1205
+    },
+    {
+      "entropy": 6.311019659042358,
+      "epoch": 1.0024855012427507,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004996036242917828,
+      "loss": 6.2021,
+      "mean_token_accuracy": 0.1151522897183895,
+      "num_tokens": 2206178.0,
+      "step": 1210
+    },
+    {
+      "entropy": 6.25421667098999,
+      "epoch": 1.0066280033140016,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004995844379986476,
+      "loss": 6.0526,
+      "mean_token_accuracy": 0.12476176023483276,
+      "num_tokens": 2215330.0,
+      "step": 1215
+    },
+    {
+      "entropy": 6.309921216964722,
+      "epoch": 1.0107705053852527,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004995647986941587,
+      "loss": 6.0354,
+      "mean_token_accuracy": 0.13005029112100602,
+      "num_tokens": 2224146.0,
+      "step": 1220
+    },
+    {
+      "entropy": 6.241363286972046,
+      "epoch": 1.0149130074565038,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004995447064179308,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13421598002314566,
+      "num_tokens": 2233646.0,
+      "step": 1225
+    },
+    {
+      "entropy": 6.058859920501709,
+      "epoch": 1.0190555095277547,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.000499524161210492,
+      "loss": 5.9379,
+      "mean_token_accuracy": 0.12560308948159218,
+      "num_tokens": 2243663.0,
+      "step": 1230
+    },
+    {
+      "entropy": 6.270004224777222,
+      "epoch": 1.0231980115990058,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004995031631132844,
+      "loss": 6.1035,
+      "mean_token_accuracy": 0.13170127123594283,
+      "num_tokens": 2252564.0,
+      "step": 1235
+    },
+    {
+      "entropy": 6.2710247993469235,
+      "epoch": 1.027340513670257,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004994817121686633,
+      "loss": 6.099,
+      "mean_token_accuracy": 0.12465815395116805,
+      "num_tokens": 2262504.0,
+      "step": 1240
+    },
+    {
+      "entropy": 6.193396997451782,
+      "epoch": 1.0314830157415078,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004994598084198979,
+      "loss": 5.9843,
+      "mean_token_accuracy": 0.1374910719692707,
+      "num_tokens": 2270553.0,
+      "step": 1245
+    },
+    {
+      "entropy": 6.136552810668945,
+      "epoch": 1.035625517812759,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004994374519111701,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.1272726461291313,
+      "num_tokens": 2279319.0,
+      "step": 1250
+    },
+    {
+      "entropy": 6.217378282546997,
+      "epoch": 1.03976801988401,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004994146426875757,
+      "loss": 6.123,
+      "mean_token_accuracy": 0.126935476064682,
+      "num_tokens": 2288749.0,
+      "step": 1255
+    },
+    {
+      "entropy": 6.218695068359375,
+      "epoch": 1.043910521955261,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004993913807951232,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.12562426924705505,
+      "num_tokens": 2298272.0,
+      "step": 1260
+    },
+    {
+      "entropy": 6.221994352340698,
+      "epoch": 1.048053024026512,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004993676662807345,
+      "loss": 6.047,
+      "mean_token_accuracy": 0.12884460240602494,
+      "num_tokens": 2307230.0,
+      "step": 1265
+    },
+    {
+      "entropy": 6.183428144454956,
+      "epoch": 1.0521955260977631,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004993434991922443,
+      "loss": 6.1317,
+      "mean_token_accuracy": 0.12460145726799965,
+      "num_tokens": 2316306.0,
+      "step": 1270
+    },
+    {
+      "entropy": 6.22090425491333,
+      "epoch": 1.056338028169014,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004993188795784002,
+      "loss": 6.0531,
+      "mean_token_accuracy": 0.1241947129368782,
+      "num_tokens": 2325672.0,
+      "step": 1275
+    },
+    {
+      "entropy": 6.1453857421875,
+      "epoch": 1.0604805302402651,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004992938074888628,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.1274007849395275,
+      "num_tokens": 2335251.0,
+      "step": 1280
+    },
+    {
+      "entropy": 6.180039167404175,
+      "epoch": 1.0646230323115162,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004992682829742052,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.1308726042509079,
+      "num_tokens": 2344054.0,
+      "step": 1285
+    },
+    {
+      "entropy": 6.086296463012696,
+      "epoch": 1.0687655343827671,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004992423060859132,
+      "loss": 6.0236,
+      "mean_token_accuracy": 0.127706591039896,
+      "num_tokens": 2353493.0,
+      "step": 1290
+    },
+    {
+      "entropy": 6.223158740997315,
+      "epoch": 1.0729080364540182,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004992158768763849,
+      "loss": 6.1321,
+      "mean_token_accuracy": 0.12850543335080147,
+      "num_tokens": 2362687.0,
+      "step": 1295
+    },
+    {
+      "entropy": 6.2506636619567875,
+      "epoch": 1.0770505385252693,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004991889953989308,
+      "loss": 6.0965,
+      "mean_token_accuracy": 0.12563316524028778,
+      "num_tokens": 2372325.0,
+      "step": 1300
+    },
+    {
+      "entropy": 6.173602199554443,
+      "epoch": 1.0811930405965202,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004991616617077741,
+      "loss": 6.12,
+      "mean_token_accuracy": 0.1287991665303707,
+      "num_tokens": 2381987.0,
+      "step": 1305
+    },
+    {
+      "entropy": 6.307486963272095,
+      "epoch": 1.0853355426677713,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004991338758580496,
+      "loss": 6.0234,
+      "mean_token_accuracy": 0.13178783878684044,
+      "num_tokens": 2390901.0,
+      "step": 1310
+    },
+    {
+      "entropy": 6.034789133071899,
+      "epoch": 1.0894780447390224,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004991056379058045,
+      "loss": 6.0813,
+      "mean_token_accuracy": 0.12450421676039695,
+      "num_tokens": 2400756.0,
+      "step": 1315
+    },
+    {
+      "entropy": 6.188017988204956,
+      "epoch": 1.0936205468102733,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004990769479079976,
+      "loss": 5.9232,
+      "mean_token_accuracy": 0.12984196096658707,
+      "num_tokens": 2409526.0,
+      "step": 1320
+    },
+    {
+      "entropy": 6.086554956436157,
+      "epoch": 1.0977630488815244,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004990478059225003,
+      "loss": 6.0931,
+      "mean_token_accuracy": 0.12972966134548186,
+      "num_tokens": 2419583.0,
+      "step": 1325
+    },
+    {
+      "entropy": 6.2457873821258545,
+      "epoch": 1.1019055509527755,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004990182120080945,
+      "loss": 6.0338,
+      "mean_token_accuracy": 0.12990806251764297,
+      "num_tokens": 2429439.0,
+      "step": 1330
+    },
+    {
+      "entropy": 6.078778219223023,
+      "epoch": 1.1060480530240264,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004989881662244748,
+      "loss": 6.0416,
+      "mean_token_accuracy": 0.12380676046013832,
+      "num_tokens": 2438467.0,
+      "step": 1335
+    },
+    {
+      "entropy": 6.138932418823242,
+      "epoch": 1.1101905550952775,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004989576686322468,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.1332716926932335,
+      "num_tokens": 2446619.0,
+      "step": 1340
+    },
+    {
+      "entropy": 6.1281578540802,
+      "epoch": 1.1143330571665286,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004989267192929272,
+      "loss": 6.0379,
+      "mean_token_accuracy": 0.12955363765358924,
+      "num_tokens": 2454998.0,
+      "step": 1345
+    },
+    {
+      "entropy": 6.09554443359375,
+      "epoch": 1.1184755592377795,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004988953182689445,
+      "loss": 6.0072,
+      "mean_token_accuracy": 0.13532012328505516,
+      "num_tokens": 2463497.0,
+      "step": 1350
+    },
+    {
+      "entropy": 6.134703922271728,
+      "epoch": 1.1226180613090306,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004988634656236378,
+      "loss": 5.9216,
+      "mean_token_accuracy": 0.13609320148825646,
+      "num_tokens": 2471763.0,
+      "step": 1355
+    },
+    {
+      "entropy": 6.145527791976929,
+      "epoch": 1.1267605633802817,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004988311614212576,
+      "loss": 6.0016,
+      "mean_token_accuracy": 0.1402701161801815,
+      "num_tokens": 2479949.0,
+      "step": 1360
+    },
+    {
+      "entropy": 6.116470623016357,
+      "epoch": 1.1309030654515326,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004987984057269648,
+      "loss": 6.0539,
+      "mean_token_accuracy": 0.13444141745567323,
+      "num_tokens": 2489097.0,
+      "step": 1365
+    },
+    {
+      "entropy": 5.972180604934692,
+      "epoch": 1.1350455675227837,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004987651986068311,
+      "loss": 5.8781,
+      "mean_token_accuracy": 0.13601028621196748,
+      "num_tokens": 2497625.0,
+      "step": 1370
+    },
+    {
+      "entropy": 6.143597984313965,
+      "epoch": 1.1391880695940348,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004987315401278394,
+      "loss": 6.1252,
+      "mean_token_accuracy": 0.1272761717438698,
+      "num_tokens": 2507107.0,
+      "step": 1375
+    },
+    {
+      "entropy": 6.286170959472656,
+      "epoch": 1.143330571665286,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004986974303578819,
+      "loss": 6.1408,
+      "mean_token_accuracy": 0.12348597794771195,
+      "num_tokens": 2516629.0,
+      "step": 1380
+    },
+    {
+      "entropy": 6.077923250198364,
+      "epoch": 1.1474730737365368,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004986628693657621,
+      "loss": 6.021,
+      "mean_token_accuracy": 0.1280151717364788,
+      "num_tokens": 2525924.0,
+      "step": 1385
+    },
+    {
+      "entropy": 6.229060649871826,
+      "epoch": 1.151615575807788,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004986278572211933,
+      "loss": 6.1723,
+      "mean_token_accuracy": 0.1280426375567913,
+      "num_tokens": 2535586.0,
+      "step": 1390
+    },
+    {
+      "entropy": 6.189875984191895,
+      "epoch": 1.1557580778790388,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004985923939947987,
+      "loss": 6.2595,
+      "mean_token_accuracy": 0.1247698113322258,
+      "num_tokens": 2546685.0,
+      "step": 1395
+    },
+    {
+      "entropy": 6.148470640182495,
+      "epoch": 1.15990057995029,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004985564797581115,
+      "loss": 5.9681,
+      "mean_token_accuracy": 0.12971177995204924,
+      "num_tokens": 2556873.0,
+      "step": 1400
+    },
+    {
+      "entropy": 6.143459701538086,
+      "epoch": 1.164043082021541,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004985201145835747,
+      "loss": 5.9836,
+      "mean_token_accuracy": 0.13127154856920242,
+      "num_tokens": 2565222.0,
+      "step": 1405
+    },
+    {
+      "entropy": 6.031957960128784,
+      "epoch": 1.1681855840927922,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.000498483298544541,
+      "loss": 5.9875,
+      "mean_token_accuracy": 0.13211632743477822,
+      "num_tokens": 2575467.0,
+      "step": 1410
+    },
+    {
+      "entropy": 6.136318731307983,
+      "epoch": 1.172328086164043,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000498446031715272,
+      "loss": 6.0125,
+      "mean_token_accuracy": 0.13508019223809242,
+      "num_tokens": 2583963.0,
+      "step": 1415
+    },
+    {
+      "entropy": 6.133963680267334,
+      "epoch": 1.1764705882352942,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004984083141709391,
+      "loss": 6.042,
+      "mean_token_accuracy": 0.13524071872234344,
+      "num_tokens": 2593350.0,
+      "step": 1420
+    },
+    {
+      "entropy": 5.975436115264893,
+      "epoch": 1.180613090306545,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000498370145987623,
+      "loss": 5.9652,
+      "mean_token_accuracy": 0.13682079091668128,
+      "num_tokens": 2602191.0,
+      "step": 1425
+    },
+    {
+      "entropy": 6.170718050003051,
+      "epoch": 1.1847555923777962,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004983315272423127,
+      "loss": 6.0999,
+      "mean_token_accuracy": 0.1291058838367462,
+      "num_tokens": 2613590.0,
+      "step": 1430
+    },
+    {
+      "entropy": 6.049332237243652,
+      "epoch": 1.1888980944490473,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004982924580129066,
+      "loss": 5.8895,
+      "mean_token_accuracy": 0.1340464949607849,
+      "num_tokens": 2622072.0,
+      "step": 1435
+    },
+    {
+      "entropy": 6.093293142318726,
+      "epoch": 1.1930405965202984,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004982529383782116,
+      "loss": 6.1012,
+      "mean_token_accuracy": 0.13022035285830497,
+      "num_tokens": 2630904.0,
+      "step": 1440
+    },
+    {
+      "entropy": 6.189996242523193,
+      "epoch": 1.1971830985915493,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004982129684179432,
+      "loss": 6.0594,
+      "mean_token_accuracy": 0.13088259026408194,
+      "num_tokens": 2639925.0,
+      "step": 1445
+    },
+    {
+      "entropy": 6.1187131881713865,
+      "epoch": 1.2013256006628004,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004981725482127251,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.13439981341362,
+      "num_tokens": 2649397.0,
+      "step": 1450
+    },
+    {
+      "entropy": 6.16315655708313,
+      "epoch": 1.2054681027340513,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004981316778440892,
+      "loss": 6.081,
+      "mean_token_accuracy": 0.13515593931078912,
+      "num_tokens": 2658877.0,
+      "step": 1455
+    },
+    {
+      "entropy": 6.063838720321655,
+      "epoch": 1.2096106048053024,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004980903573944756,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13121431767940522,
+      "num_tokens": 2668518.0,
+      "step": 1460
+    },
+    {
+      "entropy": 6.059180212020874,
+      "epoch": 1.2137531068765535,
+      "grad_norm": 1.0078125,
+      "learning_rate": 0.0004980485869472322,
+      "loss": 6.1148,
+      "mean_token_accuracy": 0.12996160089969636,
+      "num_tokens": 2677459.0,
+      "step": 1465
+    },
+    {
+      "entropy": 6.223527908325195,
+      "epoch": 1.2178956089478046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004980063665866143,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12482839822769165,
+      "num_tokens": 2686668.0,
+      "step": 1470
+    },
+    {
+      "entropy": 5.935272264480591,
+      "epoch": 1.2220381110190555,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004979636963977853,
+      "loss": 5.8825,
+      "mean_token_accuracy": 0.1352998949587345,
+      "num_tokens": 2695545.0,
+      "step": 1475
+    },
+    {
+      "entropy": 6.066101598739624,
+      "epoch": 1.2261806130903066,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004979205764668156,
+      "loss": 6.0569,
+      "mean_token_accuracy": 0.13228241056203843,
+      "num_tokens": 2705514.0,
+      "step": 1480
+    },
+    {
+      "entropy": 6.138315343856812,
+      "epoch": 1.2303231151615575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004978770068806825,
+      "loss": 5.9599,
+      "mean_token_accuracy": 0.13136665150523186,
+      "num_tokens": 2714373.0,
+      "step": 1485
+    },
+    {
+      "entropy": 6.061770391464234,
+      "epoch": 1.2344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.000497832987727271,
+      "loss": 6.0715,
+      "mean_token_accuracy": 0.1264137916266918,
+      "num_tokens": 2723887.0,
+      "step": 1490
+    },
+    {
+      "entropy": 6.061756038665772,
+      "epoch": 1.2386081193040597,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004977885190953724,
+      "loss": 5.956,
+      "mean_token_accuracy": 0.13353569880127908,
+      "num_tokens": 2733591.0,
+      "step": 1495
+    },
+    {
+      "entropy": 6.104292392730713,
+      "epoch": 1.2427506213753108,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004977436010746846,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.13720986992120743,
+      "num_tokens": 2741638.0,
+      "step": 1500
+    },
+    {
+      "epoch": 1.2427506213753108,
+      "eval_entropy": 6.029743814773397,
+      "eval_loss": 6.2611613273620605,
+      "eval_mean_token_accuracy": 0.12890694399219332,
+      "eval_num_tokens": 2741638.0,
+      "eval_runtime": 2.9518,
+      "eval_samples_per_second": 1269.399,
+      "eval_steps_per_second": 158.887,
+      "step": 1500
+    },
+    {
+      "entropy": 6.078821802139283,
+      "epoch": 1.2468931234465617,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004976982337558124,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13084649220108985,
+      "num_tokens": 2749711.0,
+      "step": 1505
+    },
+    {
+      "entropy": 6.094208097457885,
+      "epoch": 1.2510356255178128,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004976524172302665,
+      "loss": 6.121,
+      "mean_token_accuracy": 0.13192041367292404,
+      "num_tokens": 2758121.0,
+      "step": 1510
+    },
+    {
+      "entropy": 6.159745693206787,
+      "epoch": 1.2551781275890637,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004976061515904641,
+      "loss": 6.1181,
+      "mean_token_accuracy": 0.12667254582047463,
+      "num_tokens": 2766764.0,
+      "step": 1515
+    },
+    {
+      "entropy": 6.116680526733399,
+      "epoch": 1.2593206296603148,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004975594369297277,
+      "loss": 6.0557,
+      "mean_token_accuracy": 0.1348518520593643,
+      "num_tokens": 2775561.0,
+      "step": 1520
+    },
+    {
+      "entropy": 6.08063235282898,
+      "epoch": 1.2634631317315659,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004975122733422861,
+      "loss": 6.0201,
+      "mean_token_accuracy": 0.13085112273693084,
+      "num_tokens": 2784691.0,
+      "step": 1525
+    },
+    {
+      "entropy": 6.129113435745239,
+      "epoch": 1.267605633802817,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004974646609232732,
+      "loss": 5.9816,
+      "mean_token_accuracy": 0.13641836866736412,
+      "num_tokens": 2793893.0,
+      "step": 1530
+    },
+    {
+      "entropy": 6.108260202407837,
+      "epoch": 1.2717481358740679,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004974165997687288,
+      "loss": 6.0751,
+      "mean_token_accuracy": 0.13353196606040002,
+      "num_tokens": 2804479.0,
+      "step": 1535
+    },
+    {
+      "entropy": 6.16022138595581,
+      "epoch": 1.275890637945319,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004973680899755972,
+      "loss": 6.107,
+      "mean_token_accuracy": 0.1326654002070427,
+      "num_tokens": 2813966.0,
+      "step": 1540
+    },
+    {
+      "entropy": 6.007886743545532,
+      "epoch": 1.2800331400165699,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000497319131641728,
+      "loss": 5.9326,
+      "mean_token_accuracy": 0.13846119418740271,
+      "num_tokens": 2822328.0,
+      "step": 1545
+    },
+    {
+      "entropy": 6.003260755538941,
+      "epoch": 1.284175642087821,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004972697248658755,
+      "loss": 5.8899,
+      "mean_token_accuracy": 0.14066707715392113,
+      "num_tokens": 2829845.0,
+      "step": 1550
+    },
+    {
+      "entropy": 5.948832178115845,
+      "epoch": 1.288318144159072,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004972198697476987,
+      "loss": 5.8783,
+      "mean_token_accuracy": 0.13914238885045052,
+      "num_tokens": 2839040.0,
+      "step": 1555
+    },
+    {
+      "entropy": 5.961882209777832,
+      "epoch": 1.2924606462303232,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004971695663877607,
+      "loss": 5.9665,
+      "mean_token_accuracy": 0.13561231270432472,
+      "num_tokens": 2848574.0,
+      "step": 1560
+    },
+    {
+      "entropy": 6.077086877822876,
+      "epoch": 1.296603148301574,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004971188148875289,
+      "loss": 5.9421,
+      "mean_token_accuracy": 0.14444561377167703,
+      "num_tokens": 2856812.0,
+      "step": 1565
+    },
+    {
+      "entropy": 6.051652336120606,
+      "epoch": 1.3007456503728252,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004970676153493748,
+      "loss": 6.0283,
+      "mean_token_accuracy": 0.13189572617411613,
+      "num_tokens": 2866001.0,
+      "step": 1570
+    },
+    {
+      "entropy": 6.1068840503692625,
+      "epoch": 1.3048881524440763,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004970159678765731,
+      "loss": 6.0164,
+      "mean_token_accuracy": 0.13239546120166779,
+      "num_tokens": 2875181.0,
+      "step": 1575
+    },
+    {
+      "entropy": 6.049808597564697,
+      "epoch": 1.3090306545153272,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004969638725733028,
+      "loss": 5.9587,
+      "mean_token_accuracy": 0.13397156223654746,
+      "num_tokens": 2885103.0,
+      "step": 1580
+    },
+    {
+      "entropy": 5.92131872177124,
+      "epoch": 1.3131731565865783,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004969113295446455,
+      "loss": 5.9116,
+      "mean_token_accuracy": 0.1383065924048424,
+      "num_tokens": 2894055.0,
+      "step": 1585
+    },
+    {
+      "entropy": 6.116864538192749,
+      "epoch": 1.3173156586578294,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004968583388965863,
+      "loss": 5.9846,
+      "mean_token_accuracy": 0.133075200766325,
+      "num_tokens": 2903391.0,
+      "step": 1590
+    },
+    {
+      "entropy": 6.006745624542236,
+      "epoch": 1.3214581607290803,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004968049007360132,
+      "loss": 5.9854,
+      "mean_token_accuracy": 0.13297903537750244,
+      "num_tokens": 2911760.0,
+      "step": 1595
+    },
+    {
+      "entropy": 5.926331329345703,
+      "epoch": 1.3256006628003314,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004967510151707169,
+      "loss": 5.9369,
+      "mean_token_accuracy": 0.13469143435359002,
+      "num_tokens": 2920589.0,
+      "step": 1600
+    },
+    {
+      "entropy": 6.15295524597168,
+      "epoch": 1.3297431648715825,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004966966823093903,
+      "loss": 6.0746,
+      "mean_token_accuracy": 0.1302391268312931,
+      "num_tokens": 2929635.0,
+      "step": 1605
+    },
+    {
+      "entropy": 5.986531114578247,
+      "epoch": 1.3338856669428334,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004966419022616287,
+      "loss": 5.9349,
+      "mean_token_accuracy": 0.13593596145510672,
+      "num_tokens": 2938778.0,
+      "step": 1610
+    },
+    {
+      "entropy": 6.039755535125733,
+      "epoch": 1.3380281690140845,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004965866751379296,
+      "loss": 6.0503,
+      "mean_token_accuracy": 0.13109695687890052,
+      "num_tokens": 2947836.0,
+      "step": 1615
+    },
+    {
+      "entropy": 6.133180904388428,
+      "epoch": 1.3421706710853356,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004965310010496922,
+      "loss": 6.0032,
+      "mean_token_accuracy": 0.1280514419078827,
+      "num_tokens": 2957028.0,
+      "step": 1620
+    },
+    {
+      "entropy": 6.026159048080444,
+      "epoch": 1.3463131731565865,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004964748801092168,
+      "loss": 5.9571,
+      "mean_token_accuracy": 0.1338861681520939,
+      "num_tokens": 2966088.0,
+      "step": 1625
+    },
+    {
+      "entropy": 6.078959226608276,
+      "epoch": 1.3504556752278376,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004964183124297059,
+      "loss": 6.0438,
+      "mean_token_accuracy": 0.13178688064217567,
+      "num_tokens": 2975271.0,
+      "step": 1630
+    },
+    {
+      "entropy": 5.992210865020752,
+      "epoch": 1.3545981772990887,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004963612981252625,
+      "loss": 6.0524,
+      "mean_token_accuracy": 0.1321226365864277,
+      "num_tokens": 2983799.0,
+      "step": 1635
+    },
+    {
+      "entropy": 6.056794929504394,
+      "epoch": 1.3587406793703396,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004963038373108908,
+      "loss": 6.0179,
+      "mean_token_accuracy": 0.13609340488910676,
+      "num_tokens": 2992675.0,
+      "step": 1640
+    },
+    {
+      "entropy": 6.155933427810669,
+      "epoch": 1.3628831814415907,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004962459301024954,
+      "loss": 6.0838,
+      "mean_token_accuracy": 0.13211635649204254,
+      "num_tokens": 3002483.0,
+      "step": 1645
+    },
+    {
+      "entropy": 6.027872896194458,
+      "epoch": 1.3670256835128418,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004961875766168816,
+      "loss": 5.985,
+      "mean_token_accuracy": 0.13883458971977233,
+      "num_tokens": 3010611.0,
+      "step": 1650
+    },
+    {
+      "entropy": 6.057289028167725,
+      "epoch": 1.371168185584093,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004961287769717547,
+      "loss": 5.9397,
+      "mean_token_accuracy": 0.13197456523776055,
+      "num_tokens": 3019928.0,
+      "step": 1655
+    },
+    {
+      "entropy": 5.9325989246368405,
+      "epoch": 1.3753106876553438,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004960695312857199,
+      "loss": 5.9279,
+      "mean_token_accuracy": 0.13408055454492568,
+      "num_tokens": 3029003.0,
+      "step": 1660
+    },
+    {
+      "entropy": 6.0389604568481445,
+      "epoch": 1.379453189726595,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004960098396782824,
+      "loss": 5.9464,
+      "mean_token_accuracy": 0.1375861033797264,
+      "num_tokens": 3038049.0,
+      "step": 1665
+    },
+    {
+      "entropy": 5.969662141799927,
+      "epoch": 1.3835956917978458,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004959497022698466,
+      "loss": 5.9515,
+      "mean_token_accuracy": 0.14408120438456534,
+      "num_tokens": 3046674.0,
+      "step": 1670
+    },
+    {
+      "entropy": 6.0561059474945065,
+      "epoch": 1.387738193869097,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004958891191817163,
+      "loss": 5.9927,
+      "mean_token_accuracy": 0.12801324650645257,
+      "num_tokens": 3056459.0,
+      "step": 1675
+    },
+    {
+      "entropy": 6.032327270507812,
+      "epoch": 1.391880695940348,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000495828090536094,
+      "loss": 5.9845,
+      "mean_token_accuracy": 0.13036760538816453,
+      "num_tokens": 3066294.0,
+      "step": 1680
+    },
+    {
+      "entropy": 6.0512574195861815,
+      "epoch": 1.3960231980115991,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004957666164560815,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13139644563198088,
+      "num_tokens": 3075420.0,
+      "step": 1685
+    },
+    {
+      "entropy": 6.063203239440918,
+      "epoch": 1.40016570008285,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004957046970656784,
+      "loss": 6.0385,
+      "mean_token_accuracy": 0.13581736162304878,
+      "num_tokens": 3084373.0,
+      "step": 1690
+    },
+    {
+      "entropy": 6.00097541809082,
+      "epoch": 1.4043082021541011,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004956423324897831,
+      "loss": 6.0257,
+      "mean_token_accuracy": 0.13937310948967935,
+      "num_tokens": 3094212.0,
+      "step": 1695
+    },
+    {
+      "entropy": 6.043115425109863,
+      "epoch": 1.408450704225352,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004955795228541917,
+      "loss": 5.9589,
+      "mean_token_accuracy": 0.14452596232295037,
+      "num_tokens": 3102769.0,
+      "step": 1700
+    },
+    {
+      "entropy": 6.040110731124878,
+      "epoch": 1.4125932062966031,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000495516268285598,
+      "loss": 5.9805,
+      "mean_token_accuracy": 0.13440805301070213,
+      "num_tokens": 3111465.0,
+      "step": 1705
+    },
+    {
+      "entropy": 5.978239822387695,
+      "epoch": 1.4167357083678542,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004954525689115935,
+      "loss": 5.9177,
+      "mean_token_accuracy": 0.13326097056269645,
+      "num_tokens": 3121106.0,
+      "step": 1710
+    },
+    {
+      "entropy": 6.007881164550781,
+      "epoch": 1.4208782104391053,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004953884248606669,
+      "loss": 5.945,
+      "mean_token_accuracy": 0.14831372052431108,
+      "num_tokens": 3130662.0,
+      "step": 1715
+    },
+    {
+      "entropy": 5.97642674446106,
+      "epoch": 1.4250207125103562,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004953238362622034,
+      "loss": 5.9812,
+      "mean_token_accuracy": 0.13328263983130456,
+      "num_tokens": 3139538.0,
+      "step": 1720
+    },
+    {
+      "entropy": 6.0256367206573485,
+      "epoch": 1.4291632145816073,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004952588032464855,
+      "loss": 6.0298,
+      "mean_token_accuracy": 0.12707214802503586,
+      "num_tokens": 3148552.0,
+      "step": 1725
+    },
+    {
+      "entropy": 5.996851205825806,
+      "epoch": 1.4333057166528582,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004951933259446919,
+      "loss": 5.9365,
+      "mean_token_accuracy": 0.14197203740477563,
+      "num_tokens": 3156549.0,
+      "step": 1730
+    },
+    {
+      "entropy": 6.114988136291504,
+      "epoch": 1.4374482187241093,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004951274044888975,
+      "loss": 6.1006,
+      "mean_token_accuracy": 0.12147112190723419,
+      "num_tokens": 3166821.0,
+      "step": 1735
+    },
+    {
+      "entropy": 5.960144329071045,
+      "epoch": 1.4415907207953604,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004950610390120731,
+      "loss": 5.9848,
+      "mean_token_accuracy": 0.135729306191206,
+      "num_tokens": 3174962.0,
+      "step": 1740
+    },
+    {
+      "entropy": 6.087535095214844,
+      "epoch": 1.4457332228666115,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000494994229648085,
+      "loss": 5.8903,
+      "mean_token_accuracy": 0.13537728488445283,
+      "num_tokens": 3184027.0,
+      "step": 1745
+    },
+    {
+      "entropy": 5.957475805282593,
+      "epoch": 1.4498757249378624,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004949269765316948,
+      "loss": 6.0321,
+      "mean_token_accuracy": 0.13071285635232927,
+      "num_tokens": 3193186.0,
+      "step": 1750
+    },
+    {
+      "entropy": 6.171153354644775,
+      "epoch": 1.4540182270091135,
+      "grad_norm": 2.140625,
+      "learning_rate": 0.0004948592797985599,
+      "loss": 6.0525,
+      "mean_token_accuracy": 0.13555259853601456,
+      "num_tokens": 3202676.0,
+      "step": 1755
+    },
+    {
+      "entropy": 6.123908805847168,
+      "epoch": 1.4581607290803644,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947911395852317,
+      "loss": 6.1524,
+      "mean_token_accuracy": 0.1352410912513733,
+      "num_tokens": 3211950.0,
+      "step": 1760
+    },
+    {
+      "entropy": 6.120599699020386,
+      "epoch": 1.4623032311516155,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947225560291565,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12961760386824608,
+      "num_tokens": 3221135.0,
+      "step": 1765
+    },
+    {
+      "entropy": 5.962483358383179,
+      "epoch": 1.4664457332228666,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004946535292686746,
+      "loss": 5.8975,
+      "mean_token_accuracy": 0.13825839310884475,
+      "num_tokens": 3230174.0,
+      "step": 1770
+    },
+    {
+      "entropy": 5.979943370819091,
+      "epoch": 1.4705882352941178,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004945840594430209,
+      "loss": 5.8871,
+      "mean_token_accuracy": 0.1381668671965599,
+      "num_tokens": 3238898.0,
+      "step": 1775
+    },
+    {
+      "entropy": 5.973515844345092,
+      "epoch": 1.4747307373653686,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004945141466923235,
+      "loss": 5.9292,
+      "mean_token_accuracy": 0.14479121565818787,
+      "num_tokens": 3247550.0,
+      "step": 1780
+    },
+    {
+      "entropy": 6.113377714157105,
+      "epoch": 1.4788732394366197,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004944437911576041,
+      "loss": 6.0779,
+      "mean_token_accuracy": 0.12900342419743538,
+      "num_tokens": 3256810.0,
+      "step": 1785
+    },
+    {
+      "entropy": 5.9020613670349125,
+      "epoch": 1.4830157415078706,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004943729929807772,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.139550269395113,
+      "num_tokens": 3265886.0,
+      "step": 1790
+    },
+    {
+      "entropy": 6.06021089553833,
+      "epoch": 1.4871582435791217,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004943017523046507,
+      "loss": 5.9273,
+      "mean_token_accuracy": 0.137468421459198,
+      "num_tokens": 3274522.0,
+      "step": 1795
+    },
+    {
+      "entropy": 6.027210426330567,
+      "epoch": 1.4913007456503728,
+      "grad_norm": 1.25,
+      "learning_rate": 0.000494230069272925,
+      "loss": 6.0486,
+      "mean_token_accuracy": 0.13558472618460654,
+      "num_tokens": 3283388.0,
+      "step": 1800
+    },
+    {
+      "entropy": 5.989331531524658,
+      "epoch": 1.495443247721624,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004941579440301923,
+      "loss": 5.9224,
+      "mean_token_accuracy": 0.1305856943130493,
+      "num_tokens": 3291887.0,
+      "step": 1805
+    },
+    {
+      "entropy": 5.96136965751648,
+      "epoch": 1.4995857497928748,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940853767219372,
+      "loss": 5.9685,
+      "mean_token_accuracy": 0.13564062863588333,
+      "num_tokens": 3300674.0,
+      "step": 1810
+    },
+    {
+      "entropy": 5.9364429950714115,
+      "epoch": 1.503728251864126,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940123674945359,
+      "loss": 5.8311,
+      "mean_token_accuracy": 0.13808463513851166,
+      "num_tokens": 3309745.0,
+      "step": 1815
+    },
+    {
+      "entropy": 6.076629638671875,
+      "epoch": 1.5078707539353768,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004939389164952561,
+      "loss": 5.9722,
+      "mean_token_accuracy": 0.1378110609948635,
+      "num_tokens": 3318888.0,
+      "step": 1820
+    },
+    {
+      "entropy": 5.8970863819122314,
+      "epoch": 1.512013256006628,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004938650238722564,
+      "loss": 5.9296,
+      "mean_token_accuracy": 0.13823849260807036,
+      "num_tokens": 3328274.0,
+      "step": 1825
+    },
+    {
+      "entropy": 6.003948831558228,
+      "epoch": 1.516155758077879,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004937906897745861,
+      "loss": 5.9387,
+      "mean_token_accuracy": 0.1468382939696312,
+      "num_tokens": 3337579.0,
+      "step": 1830
+    },
+    {
+      "entropy": 6.045965003967285,
+      "epoch": 1.5202982601491302,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004937159143521856,
+      "loss": 5.9081,
+      "mean_token_accuracy": 0.14555162489414214,
+      "num_tokens": 3346262.0,
+      "step": 1835
+    },
+    {
+      "entropy": 5.972390079498291,
+      "epoch": 1.5244407622203813,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004936406977558847,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.13030771315097808,
+      "num_tokens": 3354833.0,
+      "step": 1840
+    },
+    {
+      "entropy": 6.051387977600098,
+      "epoch": 1.5285832642916322,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004935650401374039,
+      "loss": 6.0906,
+      "mean_token_accuracy": 0.14119647368788718,
+      "num_tokens": 3364314.0,
+      "step": 1845
+    },
+    {
+      "entropy": 6.046140813827515,
+      "epoch": 1.532725766362883,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004934889416493524,
+      "loss": 5.9157,
+      "mean_token_accuracy": 0.13524662256240844,
+      "num_tokens": 3373648.0,
+      "step": 1850
+    },
+    {
+      "entropy": 5.863892507553101,
+      "epoch": 1.5368682684341342,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004934124024452295,
+      "loss": 5.7869,
+      "mean_token_accuracy": 0.1471114367246628,
+      "num_tokens": 3382919.0,
+      "step": 1855
+    },
+    {
+      "entropy": 5.888700532913208,
+      "epoch": 1.5410107705053853,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004933354226794232,
+      "loss": 5.9383,
+      "mean_token_accuracy": 0.1432707317173481,
+      "num_tokens": 3391814.0,
+      "step": 1860
+    },
+    {
+      "entropy": 6.080925798416137,
+      "epoch": 1.5451532725766364,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004932580025072098,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.13580586463212968,
+      "num_tokens": 3400392.0,
+      "step": 1865
+    },
+    {
+      "entropy": 5.996384525299073,
+      "epoch": 1.5492957746478875,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004931801420847545,
+      "loss": 6.036,
+      "mean_token_accuracy": 0.13089759424328803,
+      "num_tokens": 3410430.0,
+      "step": 1870
+    },
+    {
+      "entropy": 5.932257795333863,
+      "epoch": 1.5534382767191384,
+      "grad_norm": 0.9609375,
+      "learning_rate": 0.0004931018415691102,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.13694921880960464,
+      "num_tokens": 3420654.0,
+      "step": 1875
+    },
+    {
+      "entropy": 5.951343011856079,
+      "epoch": 1.5575807787903893,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004930231011182176,
+      "loss": 5.9986,
+      "mean_token_accuracy": 0.13937177062034606,
+      "num_tokens": 3430514.0,
+      "step": 1880
+    },
+    {
+      "entropy": 6.071512508392334,
+      "epoch": 1.5617232808616404,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004929439208909048,
+      "loss": 5.9331,
+      "mean_token_accuracy": 0.1375361390411854,
+      "num_tokens": 3439551.0,
+      "step": 1885
+    },
+    {
+      "entropy": 5.902947330474854,
+      "epoch": 1.5658657829328915,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004928643010468869,
+      "loss": 5.8911,
+      "mean_token_accuracy": 0.13622887432575226,
+      "num_tokens": 3448160.0,
+      "step": 1890
+    },
+    {
+      "entropy": 5.993059539794922,
+      "epoch": 1.5700082850041426,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004927842417467659,
+      "loss": 5.9517,
+      "mean_token_accuracy": 0.14548188596963882,
+      "num_tokens": 3457296.0,
+      "step": 1895
+    },
+    {
+      "entropy": 6.027637386322022,
+      "epoch": 1.5741507870753937,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004927037431520302,
+      "loss": 5.9073,
+      "mean_token_accuracy": 0.14102519080042838,
+      "num_tokens": 3466108.0,
+      "step": 1900
+    },
+    {
+      "entropy": 5.975209665298462,
+      "epoch": 1.5782932891466446,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004926228054250541,
+      "loss": 5.9941,
+      "mean_token_accuracy": 0.14009249955415726,
+      "num_tokens": 3475336.0,
+      "step": 1905
+    },
+    {
+      "entropy": 6.073916673660278,
+      "epoch": 1.5824357912178955,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004925414287290979,
+      "loss": 5.9668,
+      "mean_token_accuracy": 0.13723743334412575,
+      "num_tokens": 3483963.0,
+      "step": 1910
+    },
+    {
+      "entropy": 5.848618030548096,
+      "epoch": 1.5865782932891466,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004924596132283075,
+      "loss": 5.8765,
+      "mean_token_accuracy": 0.14485997408628465,
+      "num_tokens": 3492947.0,
+      "step": 1915
+    },
+    {
+      "entropy": 5.966853284835816,
+      "epoch": 1.5907207953603977,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004923773590877135,
+      "loss": 5.9651,
+      "mean_token_accuracy": 0.13334692791104316,
+      "num_tokens": 3501877.0,
+      "step": 1920
+    },
+    {
+      "entropy": 6.042904996871949,
+      "epoch": 1.5948632974316488,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004922946664732314,
+      "loss": 6.0304,
+      "mean_token_accuracy": 0.13204361274838447,
+      "num_tokens": 3510610.0,
+      "step": 1925
+    },
+    {
+      "entropy": 6.0583656311035154,
+      "epoch": 1.5990057995029,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004922115355516615,
+      "loss": 5.9841,
+      "mean_token_accuracy": 0.13304307833313941,
+      "num_tokens": 3519829.0,
+      "step": 1930
+    },
+    {
+      "entropy": 6.015839862823486,
+      "epoch": 1.6031483015741508,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004921279664906877,
+      "loss": 5.9661,
+      "mean_token_accuracy": 0.13071200698614122,
+      "num_tokens": 3529408.0,
+      "step": 1935
+    },
+    {
+      "entropy": 5.924501991271972,
+      "epoch": 1.6072908036454017,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004920439594588781,
+      "loss": 5.8955,
+      "mean_token_accuracy": 0.14675913602113724,
+      "num_tokens": 3538068.0,
+      "step": 1940
+    },
+    {
+      "entropy": 6.051935148239136,
+      "epoch": 1.6114333057166528,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000491959514625684,
+      "loss": 6.0177,
+      "mean_token_accuracy": 0.13845598921179772,
+      "num_tokens": 3547302.0,
+      "step": 1945
+    },
+    {
+      "entropy": 5.956210565567017,
+      "epoch": 1.6155758077879039,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00049187463216144,
+      "loss": 5.9024,
+      "mean_token_accuracy": 0.145584287494421,
+      "num_tokens": 3556087.0,
+      "step": 1950
+    },
+    {
+      "entropy": 6.046857452392578,
+      "epoch": 1.619718309859155,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.000491789312237363,
+      "loss": 5.9857,
+      "mean_token_accuracy": 0.13579782098531723,
+      "num_tokens": 3566235.0,
+      "step": 1955
+    },
+    {
+      "entropy": 5.983897924423218,
+      "epoch": 1.623860811930406,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004917035550255528,
+      "loss": 5.899,
+      "mean_token_accuracy": 0.14092317298054696,
+      "num_tokens": 3574762.0,
+      "step": 1960
+    },
+    {
+      "entropy": 5.904513597488403,
+      "epoch": 1.628003314001657,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000491617360698991,
+      "loss": 5.8837,
+      "mean_token_accuracy": 0.139695380628109,
+      "num_tokens": 3583359.0,
+      "step": 1965
+    },
+    {
+      "entropy": 5.920687866210938,
+      "epoch": 1.6321458160729079,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004915307294315412,
+      "loss": 5.8505,
+      "mean_token_accuracy": 0.14011457338929176,
+      "num_tokens": 3591436.0,
+      "step": 1970
+    },
+    {
+      "entropy": 5.926318550109864,
+      "epoch": 1.636288318144159,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.000491443661397948,
+      "loss": 5.9355,
+      "mean_token_accuracy": 0.13468224480748175,
+      "num_tokens": 3601054.0,
+      "step": 1975
+    },
+    {
+      "entropy": 5.974443817138672,
+      "epoch": 1.64043082021541,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004913561567738368,
+      "loss": 5.9014,
+      "mean_token_accuracy": 0.1383673779666424,
+      "num_tokens": 3610641.0,
+      "step": 1980
+    },
+    {
+      "entropy": 5.912512636184692,
+      "epoch": 1.6445733222866612,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004912682157357146,
+      "loss": 5.8447,
+      "mean_token_accuracy": 0.13975749984383584,
+      "num_tokens": 3619351.0,
+      "step": 1985
+    },
+    {
+      "entropy": 5.853101539611816,
+      "epoch": 1.6487158243579123,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004911798384609675,
+      "loss": 5.8306,
+      "mean_token_accuracy": 0.1472959376871586,
+      "num_tokens": 3627341.0,
+      "step": 1990
+    },
+    {
+      "entropy": 5.942045879364014,
+      "epoch": 1.6528583264291632,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004910910251278626,
+      "loss": 5.8918,
+      "mean_token_accuracy": 0.14801610112190247,
+      "num_tokens": 3637132.0,
+      "step": 1995
+    },
+    {
+      "entropy": 5.919465351104736,
+      "epoch": 1.6570008285004143,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004910017759155458,
+      "loss": 5.9479,
+      "mean_token_accuracy": 0.1400071859359741,
+      "num_tokens": 3646196.0,
+      "step": 2000
+    },
+    {
+      "epoch": 1.6570008285004143,
+      "eval_entropy": 5.874394122979789,
+      "eval_loss": 6.1148576736450195,
+      "eval_mean_token_accuracy": 0.1363023624046525,
+      "eval_num_tokens": 3646196.0,
+      "eval_runtime": 2.7574,
+      "eval_samples_per_second": 1358.871,
+      "eval_steps_per_second": 170.085,
+      "step": 2000
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 12060,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 5420923210368000.0,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}
diff --git a/checkpoint-2000/training_args.bin b/checkpoint-2000/training_args.bin
new file mode 100644
index 0000000..47a7b32
--- /dev/null
+++ b/checkpoint-2000/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e406e906697be5d5c4bea7f90a038122ca162eb6b7e40512a32661ef55af9075
+size 6353
diff --git a/checkpoint-2500/added_tokens.json b/checkpoint-2500/added_tokens.json
new file mode 100644
index 0000000..b3dbcdb
--- /dev/null
+++ b/checkpoint-2500/added_tokens.json
@@ -0,0 +1,1202 @@
+{
+  "<pad>": 50002,
+  "[CLS]": 50000,
+  "[MASK]": 50003,
+  "[SEP]": 50001,
+  "[XXXXX0]": 50771,
+  "[XXXXX1000]": 50549,
+  "[XXXXX1001]": 50657,
+  "[XXXXX1002]": 51158,
+  "[XXXXX1003]": 51044,
+  "[XXXXX1004]": 50688,
+  "[XXXXX1005]": 50689,
+  "[XXXXX1006]": 50410,
+  "[XXXXX1007]": 50724,
+  "[XXXXX1008]": 50171,
+  "[XXXXX1009]": 51077,
+  "[XXXXX100]": 50091,
+  "[XXXXX1010]": 50639,
+  "[XXXXX1011]": 51094,
+  "[XXXXX1012]": 50392,
+  "[XXXXX1013]": 50626,
+  "[XXXXX1014]": 50991,
+  "[XXXXX1015]": 50529,
+  "[XXXXX1016]": 51193,
+  "[XXXXX1017]": 51073,
+  "[XXXXX1018]": 51104,
+  "[XXXXX1019]": 50775,
+  "[XXXXX101]": 50139,
+  "[XXXXX1020]": 50157,
+  "[XXXXX1021]": 50934,
+  "[XXXXX1022]": 51159,
+  "[XXXXX1023]": 50048,
+  "[XXXXX1024]": 51123,
+  "[XXXXX1025]": 50084,
+  "[XXXXX1026]": 50813,
+  "[XXXXX1027]": 50725,
+  "[XXXXX1028]": 50931,
+  "[XXXXX1029]": 50233,
+  "[XXXXX102]": 50213,
+  "[XXXXX1030]": 51023,
+  "[XXXXX1031]": 50098,
+  "[XXXXX1032]": 50802,
+  "[XXXXX1033]": 50061,
+  "[XXXXX1034]": 51139,
+  "[XXXXX1035]": 51110,
+  "[XXXXX1036]": 50204,
+  "[XXXXX1037]": 50023,
+  "[XXXXX1038]": 50142,
+  "[XXXXX1039]": 50328,
+  "[XXXXX103]": 50087,
+  "[XXXXX1040]": 50435,
+  "[XXXXX1041]": 50489,
+  "[XXXXX1042]": 50216,
+  "[XXXXX1043]": 50144,
+  "[XXXXX1044]": 50832,
+  "[XXXXX1045]": 50566,
+  "[XXXXX1046]": 50922,
+  "[XXXXX1047]": 50796,
+  "[XXXXX1048]": 50533,
+  "[XXXXX1049]": 50433,
+  "[XXXXX104]": 50478,
+  "[XXXXX1050]": 50953,
+  "[XXXXX1051]": 50497,
+  "[XXXXX1052]": 50655,
+  "[XXXXX1053]": 50881,
+  "[XXXXX1054]": 50461,
+  "[XXXXX1055]": 50052,
+  "[XXXXX1056]": 50219,
+  "[XXXXX1057]": 50789,
+  "[XXXXX1058]": 50121,
+  "[XXXXX1059]": 51002,
+  "[XXXXX105]": 51192,
+  "[XXXXX1060]": 50158,
+  "[XXXXX1061]": 50352,
+  "[XXXXX1062]": 50637,
+  "[XXXXX1063]": 50440,
+  "[XXXXX1064]": 50590,
+  "[XXXXX1065]": 51107,
+  "[XXXXX1066]": 50758,
+  "[XXXXX1067]": 51011,
+  "[XXXXX1068]": 50985,
+  "[XXXXX1069]": 51175,
+  "[XXXXX106]": 50532,
+  "[XXXXX1070]": 50790,
+  "[XXXXX1071]": 50394,
+  "[XXXXX1072]": 50852,
+  "[XXXXX1073]": 50869,
+  "[XXXXX1074]": 50126,
+  "[XXXXX1075]": 50783,
+  "[XXXXX1076]": 50806,
+  "[XXXXX1077]": 50882,
+  "[XXXXX1078]": 50726,
+  "[XXXXX1079]": 51010,
+  "[XXXXX107]": 50714,
+  "[XXXXX1080]": 50168,
+  "[XXXXX1081]": 50425,
+  "[XXXXX1082]": 50848,
+  "[XXXXX1083]": 50014,
+  "[XXXXX1084]": 50341,
+  "[XXXXX1085]": 50734,
+  "[XXXXX1086]": 50664,
+  "[XXXXX1087]": 51007,
+  "[XXXXX1088]": 51151,
+  "[XXXXX1089]": 50269,
+  "[XXXXX108]": 50996,
+  "[XXXXX1090]": 50826,
+  "[XXXXX1091]": 51105,
+  "[XXXXX1092]": 50731,
+  "[XXXXX1093]": 50856,
+  "[XXXXX1094]": 50369,
+  "[XXXXX1095]": 50065,
+  "[XXXXX1096]": 50309,
+  "[XXXXX1097]": 50838,
+  "[XXXXX1098]": 50451,
+  "[XXXXX1099]": 50384,
+  "[XXXXX109]": 50543,
+  "[XXXXX10]": 50325,
+  "[XXXXX1100]": 50318,
+  "[XXXXX1101]": 50764,
+  "[XXXXX1102]": 51025,
+  "[XXXXX1103]": 50642,
+  "[XXXXX1104]": 50665,
+  "[XXXXX1105]": 50855,
+  "[XXXXX1106]": 51063,
+  "[XXXXX1107]": 50025,
+  "[XXXXX1108]": 50122,
+  "[XXXXX1109]": 50470,
+  "[XXXXX110]": 50062,
+  "[XXXXX1110]": 51019,
+  "[XXXXX1111]": 51124,
+  "[XXXXX1112]": 50146,
+  "[XXXXX1113]": 51125,
+  "[XXXXX1114]": 50434,
+  "[XXXXX1115]": 50818,
+  "[XXXXX1116]": 50960,
+  "[XXXXX1117]": 50258,
+  "[XXXXX1118]": 50596,
+  "[XXXXX1119]": 50083,
+  "[XXXXX111]": 51064,
+  "[XXXXX1120]": 50915,
+  "[XXXXX1121]": 50835,
+  "[XXXXX1122]": 51056,
+  "[XXXXX1123]": 50172,
+  "[XXXXX1124]": 50972,
+  "[XXXXX1125]": 50275,
+  "[XXXXX1126]": 50430,
+  "[XXXXX1127]": 50743,
+  "[XXXXX1128]": 50551,
+  "[XXXXX1129]": 50439,
+  "[XXXXX112]": 50819,
+  "[XXXXX1130]": 50536,
+  "[XXXXX1131]": 50622,
+  "[XXXXX1132]": 50623,
+  "[XXXXX1133]": 50117,
+  "[XXXXX1134]": 50251,
+  "[XXXXX1135]": 50678,
+  "[XXXXX1136]": 50316,
+  "[XXXXX1137]": 50905,
+  "[XXXXX1138]": 50992,
+  "[XXXXX1139]": 50851,
+  "[XXXXX113]": 50443,
+  "[XXXXX1140]": 50499,
+  "[XXXXX1141]": 50629,
+  "[XXXXX1142]": 50944,
+  "[XXXXX1143]": 50373,
+  "[XXXXX1144]": 50123,
+  "[XXXXX1145]": 50173,
+  "[XXXXX1146]": 50891,
+  "[XXXXX1147]": 50471,
+  "[XXXXX1148]": 50560,
+  "[XXXXX1149]": 50541,
+  "[XXXXX114]": 50631,
+  "[XXXXX1150]": 50033,
+  "[XXXXX1151]": 50063,
+  "[XXXXX1152]": 50767,
+  "[XXXXX1153]": 50897,
+  "[XXXXX1154]": 50568,
+  "[XXXXX1155]": 51131,
+  "[XXXXX1156]": 50009,
+  "[XXXXX1157]": 50417,
+  "[XXXXX1158]": 50477,
+  "[XXXXX1159]": 50941,
+  "[XXXXX115]": 50294,
+  "[XXXXX1160]": 50679,
+  "[XXXXX1161]": 51108,
+  "[XXXXX1162]": 50332,
+  "[XXXXX1163]": 50424,
+  "[XXXXX1164]": 50473,
+  "[XXXXX1165]": 50793,
+  "[XXXXX1166]": 50453,
+  "[XXXXX1167]": 50807,
+  "[XXXXX1168]": 50128,
+  "[XXXXX1169]": 50039,
+  "[XXXXX116]": 50759,
+  "[XXXXX1170]": 50735,
+  "[XXXXX1171]": 50366,
+  "[XXXXX1172]": 50808,
+  "[XXXXX1173]": 50426,
+  "[XXXXX1174]": 50076,
+  "[XXXXX1175]": 50943,
+  "[XXXXX1176]": 50252,
+  "[XXXXX1177]": 50999,
+  "[XXXXX1178]": 50264,
+  "[XXXXX1179]": 50607,
+  "[XXXXX117]": 51036,
+  "[XXXXX1180]": 50986,
+  "[XXXXX1181]": 50744,
+  "[XXXXX1182]": 50186,
+  "[XXXXX1183]": 50555,
+  "[XXXXX1184]": 51076,
+  "[XXXXX1185]": 50849,
+  "[XXXXX1186]": 51128,
+  "[XXXXX1187]": 50858,
+  "[XXXXX1188]": 50656,
+  "[XXXXX1189]": 50064,
+  "[XXXXX118]": 50081,
+  "[XXXXX1190]": 51197,
+  "[XXXXX1191]": 50104,
+  "[XXXXX1192]": 50045,
+  "[XXXXX1193]": 50404,
+  "[XXXXX1194]": 50690,
+  "[XXXXX1195]": 50495,
+  "[XXXXX119]": 50108,
+  "[XXXXX11]": 50976,
+  "[XXXXX120]": 51081,
+  "[XXXXX121]": 50464,
+  "[XXXXX122]": 50829,
+  "[XXXXX123]": 50766,
+  "[XXXXX124]": 50732,
+  "[XXXXX125]": 50221,
+  "[XXXXX126]": 50810,
+  "[XXXXX127]": 50130,
+  "[XXXXX128]": 50751,
+  "[XXXXX129]": 50662,
+  "[XXXXX12]": 50602,
+  "[XXXXX130]": 50035,
+  "[XXXXX131]": 50715,
+  "[XXXXX132]": 50340,
+  "[XXXXX133]": 50563,
+  "[XXXXX134]": 50993,
+  "[XXXXX135]": 50304,
+  "[XXXXX136]": 50131,
+  "[XXXXX137]": 50578,
+  "[XXXXX138]": 50757,
+  "[XXXXX139]": 50582,
+  "[XXXXX13]": 50105,
+  "[XXXXX140]": 50085,
+  "[XXXXX141]": 50553,
+  "[XXXXX142]": 50749,
+  "[XXXXX143]": 50351,
+  "[XXXXX144]": 51024,
+  "[XXXXX145]": 51144,
+  "[XXXXX146]": 50042,
+  "[XXXXX147]": 50145,
+  "[XXXXX148]": 50066,
+  "[XXXXX149]": 50876,
+  "[XXXXX14]": 51006,
+  "[XXXXX150]": 50280,
+  "[XXXXX151]": 50093,
+  "[XXXXX152]": 50638,
+  "[XXXXX153]": 50684,
+  "[XXXXX154]": 50820,
+  "[XXXXX155]": 51196,
+  "[XXXXX156]": 50317,
+  "[XXXXX157]": 50284,
+  "[XXXXX158]": 50288,
+  "[XXXXX159]": 50814,
+  "[XXXXX15]": 50608,
+  "[XXXXX160]": 50004,
+  "[XXXXX161]": 50008,
+  "[XXXXX162]": 50377,
+  "[XXXXX163]": 50214,
+  "[XXXXX164]": 50708,
+  "[XXXXX165]": 50390,
+  "[XXXXX166]": 50741,
+  "[XXXXX167]": 50445,
+  "[XXXXX168]": 50936,
+  "[XXXXX169]": 50896,
+  "[XXXXX16]": 50442,
+  "[XXXXX170]": 50109,
+  "[XXXXX171]": 50140,
+  "[XXXXX172]": 50427,
+  "[XXXXX173]": 51074,
+  "[XXXXX174]": 50162,
+  "[XXXXX175]": 51015,
+  "[XXXXX176]": 50524,
+  "[XXXXX177]": 50673,
+  "[XXXXX178]": 50054,
+  "[XXXXX179]": 50805,
+  "[XXXXX17]": 50482,
+  "[XXXXX180]": 50253,
+  "[XXXXX181]": 50493,
+  "[XXXXX182]": 50421,
+  "[XXXXX183]": 51050,
+  "[XXXXX184]": 50521,
+  "[XXXXX185]": 50188,
+  "[XXXXX186]": 50147,
+  "[XXXXX187]": 50201,
+  "[XXXXX188]": 50973,
+  "[XXXXX189]": 50409,
+  "[XXXXX18]": 50115,
+  "[XXXXX190]": 50051,
+  "[XXXXX191]": 51020,
+  "[XXXXX192]": 51047,
+  "[XXXXX193]": 50669,
+  "[XXXXX194]": 50643,
+  "[XXXXX195]": 50159,
+  "[XXXXX196]": 50649,
+  "[XXXXX197]": 51178,
+  "[XXXXX198]": 50043,
+  "[XXXXX199]": 51147,
+  "[XXXXX19]": 51127,
+  "[XXXXX1]": 51114,
+  "[XXXXX200]": 50840,
+  "[XXXXX201]": 50365,
+  "[XXXXX202]": 50232,
+  "[XXXXX203]": 50241,
+  "[XXXXX204]": 50548,
+  "[XXXXX205]": 50781,
+  "[XXXXX206]": 50923,
+  "[XXXXX207]": 51115,
+  "[XXXXX208]": 50344,
+  "[XXXXX209]": 50299,
+  "[XXXXX20]": 51031,
+  "[XXXXX210]": 51179,
+  "[XXXXX211]": 51163,
+  "[XXXXX212]": 50562,
+  "[XXXXX213]": 50094,
+  "[XXXXX214]": 50257,
+  "[XXXXX215]": 50967,
+  "[XXXXX216]": 50523,
+  "[XXXXX217]": 51132,
+  "[XXXXX218]": 51146,
+  "[XXXXX219]": 50411,
+  "[XXXXX21]": 50354,
+  "[XXXXX220]": 50853,
+  "[XXXXX221]": 50886,
+  "[XXXXX222]": 50600,
+  "[XXXXX223]": 50873,
+  "[XXXXX224]": 50416,
+  "[XXXXX225]": 50675,
+  "[XXXXX226]": 50583,
+  "[XXXXX227]": 50151,
+  "[XXXXX228]": 50927,
+  "[XXXXX229]": 50609,
+  "[XXXXX22]": 50589,
+  "[XXXXX230]": 50238,
+  "[XXXXX231]": 50242,
+  "[XXXXX232]": 51016,
+  "[XXXXX233]": 50406,
+  "[XXXXX234]": 50908,
+  "[XXXXX235]": 50024,
+  "[XXXXX236]": 50270,
+  "[XXXXX237]": 50132,
+  "[XXXXX238]": 50800,
+  "[XXXXX239]": 50236,
+  "[XXXXX23]": 50007,
+  "[XXXXX240]": 50005,
+  "[XXXXX241]": 50894,
+  "[XXXXX242]": 50694,
+  "[XXXXX243]": 51071,
+  "[XXXXX244]": 51017,
+  "[XXXXX245]": 50068,
+  "[XXXXX246]": 50682,
+  "[XXXXX247]": 50913,
+  "[XXXXX248]": 51028,
+  "[XXXXX249]": 50037,
+  "[XXXXX24]": 51169,
+  "[XXXXX250]": 50747,
+  "[XXXXX251]": 50947,
+  "[XXXXX252]": 50329,
+  "[XXXXX253]": 50612,
+  "[XXXXX254]": 50110,
+  "[XXXXX255]": 50824,
+  "[XXXXX256]": 50558,
+  "[XXXXX257]": 50969,
+  "[XXXXX258]": 50729,
+  "[XXXXX259]": 50125,
+  "[XXXXX25]": 51160,
+  "[XXXXX260]": 50040,
+  "[XXXXX261]": 51038,
+  "[XXXXX262]": 50347,
+  "[XXXXX263]": 50740,
+  "[XXXXX264]": 51195,
+  "[XXXXX265]": 50879,
+  "[XXXXX266]": 50770,
+  "[XXXXX267]": 50178,
+  "[XXXXX268]": 50804,
+  "[XXXXX269]": 50906,
+  "[XXXXX26]": 50150,
+  "[XXXXX270]": 51191,
+  "[XXXXX271]": 50047,
+  "[XXXXX272]": 50195,
+  "[XXXXX273]": 50554,
+  "[XXXXX274]": 50833,
+  "[XXXXX275]": 50346,
+  "[XXXXX276]": 50950,
+  "[XXXXX277]": 50864,
+  "[XXXXX278]": 50259,
+  "[XXXXX279]": 50671,
+  "[XXXXX27]": 50468,
+  "[XXXXX280]": 50082,
+  "[XXXXX281]": 50565,
+  "[XXXXX282]": 50984,
+  "[XXXXX283]": 50650,
+  "[XXXXX284]": 50975,
+  "[XXXXX285]": 50603,
+  "[XXXXX286]": 50027,
+  "[XXXXX287]": 50181,
+  "[XXXXX288]": 50981,
+  "[XXXXX289]": 50885,
+  "[XXXXX28]": 50249,
+  "[XXXXX290]": 50522,
+  "[XXXXX291]": 50050,
+  "[XXXXX292]": 50313,
+  "[XXXXX293]": 50503,
+  "[XXXXX294]": 51176,
+  "[XXXXX295]": 51177,
+  "[XXXXX296]": 50379,
+  "[XXXXX297]": 50635,
+  "[XXXXX298]": 50723,
+  "[XXXXX299]": 50200,
+  "[XXXXX29]": 50892,
+  "[XXXXX2]": 51119,
+  "[XXXXX300]": 51026,
+  "[XXXXX301]": 50528,
+  "[XXXXX302]": 51149,
+  "[XXXXX303]": 50044,
+  "[XXXXX304]": 50209,
+  "[XXXXX305]": 50988,
+  "[XXXXX306]": 50518,
+  "[XXXXX307]": 50088,
+  "[XXXXX308]": 50733,
+  "[XXXXX309]": 51066,
+  "[XXXXX30]": 50506,
+  "[XXXXX310]": 50285,
+  "[XXXXX311]": 50859,
+  "[XXXXX312]": 50263,
+  "[XXXXX313]": 50594,
+  "[XXXXX314]": 51103,
+  "[XXXXX315]": 50871,
+  "[XXXXX316]": 50300,
+  "[XXXXX317]": 50760,
+  "[XXXXX318]": 50055,
+  "[XXXXX319]": 50389,
+  "[XXXXX31]": 50212,
+  "[XXXXX320]": 50444,
+  "[XXXXX321]": 50994,
+  "[XXXXX322]": 50281,
+  "[XXXXX323]": 50179,
+  "[XXXXX324]": 50455,
+  "[XXXXX325]": 50970,
+  "[XXXXX326]": 50666,
+  "[XXXXX327]": 50604,
+  "[XXXXX328]": 50627,
+  "[XXXXX329]": 50475,
+  "[XXXXX32]": 50277,
+  "[XXXXX330]": 50667,
+  "[XXXXX331]": 50348,
+  "[XXXXX332]": 50772,
+  "[XXXXX333]": 50163,
+  "[XXXXX334]": 50569,
+  "[XXXXX335]": 50018,
+  "[XXXXX336]": 50883,
+  "[XXXXX337]": 50067,
+  "[XXXXX338]": 51184,
+  "[XXXXX339]": 50997,
+  "[XXXXX33]": 50403,
+  "[XXXXX340]": 51013,
+  "[XXXXX341]": 50957,
+  "[XXXXX342]": 51106,
+  "[XXXXX343]": 51174,
+  "[XXXXX344]": 50391,
+  "[XXXXX345]": 50948,
+  "[XXXXX346]": 50180,
+  "[XXXXX347]": 50811,
+  "[XXXXX348]": 50401,
+  "[XXXXX349]": 50911,
+  "[XXXXX34]": 50223,
+  "[XXXXX350]": 51089,
+  "[XXXXX351]": 50777,
+  "[XXXXX352]": 50189,
+  "[XXXXX353]": 50492,
+  "[XXXXX354]": 50205,
+  "[XXXXX355]": 50374,
+  "[XXXXX356]": 51152,
+  "[XXXXX357]": 50695,
+  "[XXXXX358]": 51117,
+  "[XXXXX359]": 50573,
+  "[XXXXX35]": 50752,
+  "[XXXXX360]": 50955,
+  "[XXXXX361]": 50349,
+  "[XXXXX362]": 51137,
+  "[XXXXX363]": 50641,
+  "[XXXXX364]": 51148,
+  "[XXXXX365]": 50255,
+  "[XXXXX366]": 50310,
+  "[XXXXX367]": 50314,
+  "[XXXXX368]": 50971,
+  "[XXXXX369]": 50916,
+  "[XXXXX36]": 50437,
+  "[XXXXX370]": 51096,
+  "[XXXXX371]": 50557,
+  "[XXXXX372]": 51095,
+  "[XXXXX373]": 50382,
+  "[XXXXX374]": 50119,
+  "[XXXXX375]": 50958,
+  "[XXXXX376]": 50624,
+  "[XXXXX377]": 50483,
+  "[XXXXX378]": 50605,
+  "[XXXXX379]": 50017,
+  "[XXXXX37]": 50706,
+  "[XXXXX380]": 50246,
+  "[XXXXX381]": 50588,
+  "[XXXXX382]": 51008,
+  "[XXXXX383]": 50801,
+  "[XXXXX384]": 50290,
+  "[XXXXX385]": 50899,
+  "[XXXXX386]": 50206,
+  "[XXXXX387]": 50716,
+  "[XXXXX388]": 51082,
+  "[XXXXX389]": 50177,
+  "[XXXXX38]": 50736,
+  "[XXXXX390]": 50282,
+  "[XXXXX391]": 51183,
+  "[XXXXX392]": 50286,
+  "[XXXXX393]": 50659,
+  "[XXXXX394]": 50378,
+  "[XXXXX395]": 50709,
+  "[XXXXX396]": 50028,
+  "[XXXXX397]": 50235,
+  "[XXXXX398]": 51014,
+  "[XXXXX399]": 50880,
+  "[XXXXX39]": 50305,
+  "[XXXXX3]": 50077,
+  "[XXXXX400]": 50155,
+  "[XXXXX401]": 50710,
+  "[XXXXX402]": 50507,
+  "[XXXXX403]": 50860,
+  "[XXXXX404]": 50661,
+  "[XXXXX405]": 51083,
+  "[XXXXX406]": 50888,
+  "[XXXXX407]": 50069,
+  "[XXXXX408]": 50691,
+  "[XXXXX409]": 51055,
+  "[XXXXX40]": 50337,
+  "[XXXXX410]": 50137,
+  "[XXXXX411]": 50791,
+  "[XXXXX412]": 50136,
+  "[XXXXX413]": 50730,
+  "[XXXXX414]": 50267,
+  "[XXXXX415]": 50012,
+  "[XXXXX416]": 50681,
+  "[XXXXX417]": 50942,
+  "[XXXXX418]": 50720,
+  "[XXXXX419]": 50844,
+  "[XXXXX41]": 50387,
+  "[XXXXX420]": 50111,
+  "[XXXXX421]": 51003,
+  "[XXXXX422]": 50785,
+  "[XXXXX423]": 50149,
+  "[XXXXX424]": 50422,
+  "[XXXXX425]": 51086,
+  "[XXXXX426]": 50862,
+  "[XXXXX427]": 50576,
+  "[XXXXX428]": 51049,
+  "[XXXXX429]": 50630,
+  "[XXXXX42]": 50799,
+  "[XXXXX430]": 50289,
+  "[XXXXX431]": 50184,
+  "[XXXXX432]": 50319,
+  "[XXXXX433]": 51116,
+  "[XXXXX434]": 50519,
+  "[XXXXX435]": 50496,
+  "[XXXXX436]": 50517,
+  "[XXXXX437]": 50865,
+  "[XXXXX438]": 50737,
+  "[XXXXX439]": 50356,
+  "[XXXXX43]": 50359,
+  "[XXXXX440]": 50898,
+  "[XXXXX441]": 50113,
+  "[XXXXX442]": 50527,
+  "[XXXXX443]": 50762,
+  "[XXXXX444]": 50540,
+  "[XXXXX445]": 50925,
+  "[XXXXX446]": 50711,
+  "[XXXXX447]": 50143,
+  "[XXXXX448]": 51170,
+  "[XXXXX449]": 50413,
+  "[XXXXX44]": 50097,
+  "[XXXXX450]": 50375,
+  "[XXXXX451]": 50846,
+  "[XXXXX452]": 50217,
+  "[XXXXX453]": 50699,
+  "[XXXXX454]": 50412,
+  "[XXXXX455]": 50418,
+  "[XXXXX456]": 51143,
+  "[XXXXX457]": 51141,
+  "[XXXXX458]": 51157,
+  "[XXXXX459]": 50825,
+  "[XXXXX45]": 50203,
+  "[XXXXX460]": 50194,
+  "[XXXXX461]": 50148,
+  "[XXXXX462]": 50276,
+  "[XXXXX463]": 50271,
+  "[XXXXX464]": 50836,
+  "[XXXXX465]": 50854,
+  "[XXXXX466]": 50164,
+  "[XXXXX467]": 50484,
+  "[XXXXX468]": 51097,
+  "[XXXXX469]": 50182,
+  "[XXXXX46]": 50505,
+  "[XXXXX470]": 50670,
+  "[XXXXX471]": 50595,
+  "[XXXXX472]": 50237,
+  "[XXXXX473]": 50057,
+  "[XXXXX474]": 50431,
+  "[XXXXX475]": 50738,
+  "[XXXXX476]": 51145,
+  "[XXXXX477]": 50247,
+  "[XXXXX478]": 50029,
+  "[XXXXX479]": 50917,
+  "[XXXXX47]": 50579,
+  "[XXXXX480]": 50702,
+  "[XXXXX481]": 50831,
+  "[XXXXX482]": 50753,
+  "[XXXXX483]": 50598,
+  "[XXXXX484]": 51136,
+  "[XXXXX485]": 50092,
+  "[XXXXX486]": 50202,
+  "[XXXXX487]": 50106,
+  "[XXXXX488]": 50924,
+  "[XXXXX489]": 51113,
+  "[XXXXX48]": 50842,
+  "[XXXXX490]": 50761,
+  "[XXXXX491]": 50577,
+  "[XXXXX492]": 50692,
+  "[XXXXX493]": 51130,
+  "[XXXXX494]": 50932,
+  "[XXXXX495]": 50837,
+  "[XXXXX496]": 50893,
+  "[XXXXX497]": 50773,
+  "[XXXXX498]": 50360,
+  "[XXXXX499]": 50900,
+  "[XXXXX49]": 51062,
+  "[XXXXX4]": 50396,
+  "[XXXXX500]": 51034,
+  "[XXXXX501]": 50472,
+  "[XXXXX502]": 50660,
+  "[XXXXX503]": 50815,
+  "[XXXXX504]": 50939,
+  "[XXXXX505]": 50419,
+  "[XXXXX506]": 50324,
+  "[XXXXX507]": 50428,
+  "[XXXXX508]": 50274,
+  "[XXXXX509]": 50311,
+  "[XXXXX50]": 50459,
+  "[XXXXX510]": 50674,
+  "[XXXXX511]": 50580,
+  "[XXXXX512]": 50956,
+  "[XXXXX513]": 50165,
+  "[XXXXX514]": 50320,
+  "[XXXXX515]": 50648,
+  "[XXXXX516]": 50386,
+  "[XXXXX517]": 50058,
+  "[XXXXX518]": 51045,
+  "[XXXXX519]": 50103,
+  "[XXXXX51]": 50979,
+  "[XXXXX520]": 50530,
+  "[XXXXX521]": 50907,
+  "[XXXXX522]": 50260,
+  "[XXXXX523]": 50632,
+  "[XXXXX524]": 50926,
+  "[XXXXX525]": 50687,
+  "[XXXXX526]": 50160,
+  "[XXXXX527]": 51053,
+  "[XXXXX528]": 50652,
+  "[XXXXX529]": 51041,
+  "[XXXXX52]": 50272,
+  "[XXXXX530]": 51111,
+  "[XXXXX531]": 51009,
+  "[XXXXX532]": 51079,
+  "[XXXXX533]": 50487,
+  "[XXXXX534]": 51059,
+  "[XXXXX535]": 50335,
+  "[XXXXX536]": 50380,
+  "[XXXXX537]": 50301,
+  "[XXXXX538]": 51067,
+  "[XXXXX539]": 51052,
+  "[XXXXX53]": 51048,
+  "[XXXXX540]": 50822,
+  "[XXXXX541]": 51040,
+  "[XXXXX542]": 50490,
+  "[XXXXX543]": 50448,
+  "[XXXXX544]": 50812,
+  "[XXXXX545]": 50099,
+  "[XXXXX546]": 51199,
+  "[XXXXX547]": 50226,
+  "[XXXXX548]": 50538,
+  "[XXXXX549]": 50342,
+  "[XXXXX54]": 50701,
+  "[XXXXX550]": 50544,
+  "[XXXXX551]": 50398,
+  "[XXXXX552]": 51102,
+  "[XXXXX553]": 50919,
+  "[XXXXX554]": 50615,
+  "[XXXXX555]": 50769,
+  "[XXXXX556]": 50940,
+  "[XXXXX557]": 50070,
+  "[XXXXX558]": 50680,
+  "[XXXXX559]": 50611,
+  "[XXXXX55]": 50574,
+  "[XXXXX560]": 50381,
+  "[XXXXX561]": 50350,
+  "[XXXXX562]": 50175,
+  "[XXXXX563]": 50584,
+  "[XXXXX564]": 50703,
+  "[XXXXX565]": 50989,
+  "[XXXXX566]": 50877,
+  "[XXXXX567]": 51039,
+  "[XXXXX568]": 51018,
+  "[XXXXX569]": 50452,
+  "[XXXXX56]": 51099,
+  "[XXXXX570]": 50161,
+  "[XXXXX571]": 50921,
+  "[XXXXX572]": 50676,
+  "[XXXXX573]": 50326,
+  "[XXXXX574]": 50987,
+  "[XXXXX575]": 50361,
+  "[XXXXX576]": 50071,
+  "[XXXXX577]": 50803,
+  "[XXXXX578]": 50400,
+  "[XXXXX579]": 51091,
+  "[XXXXX57]": 50501,
+  "[XXXXX580]": 50887,
+  "[XXXXX581]": 50839,
+  "[XXXXX582]": 51138,
+  "[XXXXX583]": 50816,
+  "[XXXXX584]": 50339,
+  "[XXXXX585]": 50463,
+  "[XXXXX586]": 50399,
+  "[XXXXX587]": 51070,
+  "[XXXXX588]": 50457,
+  "[XXXXX589]": 50828,
+  "[XXXXX58]": 50183,
+  "[XXXXX590]": 50080,
+  "[XXXXX591]": 50550,
+  "[XXXXX592]": 50129,
+  "[XXXXX593]": 50273,
+  "[XXXXX594]": 50388,
+  "[XXXXX595]": 50491,
+  "[XXXXX596]": 50278,
+  "[XXXXX597]": 50011,
+  "[XXXXX598]": 50254,
+  "[XXXXX599]": 50302,
+  "[XXXXX59]": 50353,
+  "[XXXXX5]": 50010,
+  "[XXXXX600]": 50704,
+  "[XXXXX601]": 51118,
+  "[XXXXX602]": 50049,
+  "[XXXXX603]": 51190,
+  "[XXXXX604]": 51142,
+  "[XXXXX605]": 50707,
+  "[XXXXX606]": 50937,
+  "[XXXXX607]": 50875,
+  "[XXXXX608]": 50564,
+  "[XXXXX609]": 50345,
+  "[XXXXX60]": 50713,
+  "[XXXXX610]": 50949,
+  "[XXXXX611]": 50978,
+  "[XXXXX612]": 50330,
+  "[XXXXX613]": 51035,
+  "[XXXXX614]": 50402,
+  "[XXXXX615]": 50176,
+  "[XXXXX616]": 51133,
+  "[XXXXX617]": 50222,
+  "[XXXXX618]": 50118,
+  "[XXXXX619]": 50196,
+  "[XXXXX61]": 50298,
+  "[XXXXX620]": 50668,
+  "[XXXXX621]": 50462,
+  "[XXXXX622]": 50218,
+  "[XXXXX623]": 51101,
+  "[XXXXX624]": 50362,
+  "[XXXXX625]": 50779,
+  "[XXXXX626]": 50513,
+  "[XXXXX627]": 50746,
+  "[XXXXX628]": 50141,
+  "[XXXXX629]": 50479,
+  "[XXXXX62]": 50056,
+  "[XXXXX630]": 51180,
+  "[XXXXX631]": 50872,
+  "[XXXXX632]": 50315,
+  "[XXXXX633]": 50397,
+  "[XXXXX634]": 51165,
+  "[XXXXX635]": 50046,
+  "[XXXXX636]": 50795,
+  "[XXXXX637]": 50959,
+  "[XXXXX638]": 50786,
+  "[XXXXX639]": 50240,
+  "[XXXXX63]": 51061,
+  "[XXXXX640]": 50601,
+  "[XXXXX641]": 50904,
+  "[XXXXX642]": 50376,
+  "[XXXXX643]": 50663,
+  "[XXXXX644]": 50613,
+  "[XXXXX645]": 50467,
+  "[XXXXX646]": 50546,
+  "[XXXXX647]": 50465,
+  "[XXXXX648]": 50395,
+  "[XXXXX649]": 50287,
+  "[XXXXX64]": 51162,
+  "[XXXXX650]": 50474,
+  "[XXXXX651]": 50727,
+  "[XXXXX652]": 50243,
+  "[XXXXX653]": 51100,
+  "[XXXXX654]": 50705,
+  "[XXXXX655]": 51012,
+  "[XXXXX656]": 50447,
+  "[XXXXX657]": 50719,
+  "[XXXXX658]": 50712,
+  "[XXXXX659]": 50476,
+  "[XXXXX65]": 50587,
+  "[XXXXX660]": 51054,
+  "[XXXXX661]": 51166,
+  "[XXXXX662]": 50494,
+  "[XXXXX663]": 50230,
+  "[XXXXX664]": 50621,
+  "[XXXXX665]": 50809,
+  "[XXXXX666]": 50265,
+  "[XXXXX667]": 50645,
+  "[XXXXX668]": 50817,
+  "[XXXXX669]": 50030,
+  "[XXXXX66]": 51029,
+  "[XXXXX670]": 51004,
+  "[XXXXX671]": 50685,
+  "[XXXXX672]": 50625,
+  "[XXXXX673]": 50890,
+  "[XXXXX674]": 50383,
+  "[XXXXX675]": 50929,
+  "[XXXXX676]": 50116,
+  "[XXXXX677]": 51072,
+  "[XXXXX678]": 51126,
+  "[XXXXX679]": 50755,
+  "[XXXXX67]": 50717,
+  "[XXXXX680]": 50303,
+  "[XXXXX681]": 50504,
+  "[XXXXX682]": 51075,
+  "[XXXXX683]": 50261,
+  "[XXXXX684]": 50861,
+  "[XXXXX685]": 50306,
+  "[XXXXX686]": 50016,
+  "[XXXXX687]": 50101,
+  "[XXXXX688]": 51098,
+  "[XXXXX689]": 50827,
+  "[XXXXX68]": 50863,
+  "[XXXXX690]": 50640,
+  "[XXXXX691]": 50031,
+  "[XXXXX692]": 50768,
+  "[XXXXX693]": 50013,
+  "[XXXXX694]": 51032,
+  "[XXXXX695]": 50166,
+  "[XXXXX696]": 50127,
+  "[XXXXX697]": 50414,
+  "[XXXXX698]": 50742,
+  "[XXXXX699]": 51042,
+  "[XXXXX69]": 51112,
+  "[XXXXX6]": 50593,
+  "[XXXXX700]": 50292,
+  "[XXXXX701]": 50174,
+  "[XXXXX702]": 50547,
+  "[XXXXX703]": 50498,
+  "[XXXXX704]": 51078,
+  "[XXXXX705]": 50133,
+  "[XXXXX706]": 50041,
+  "[XXXXX707]": 51181,
+  "[XXXXX708]": 50585,
+  "[XXXXX709]": 50776,
+  "[XXXXX70]": 50053,
+  "[XXXXX710]": 50336,
+  "[XXXXX711]": 50765,
+  "[XXXXX712]": 50224,
+  "[XXXXX713]": 50599,
+  "[XXXXX714]": 50207,
+  "[XXXXX715]": 51043,
+  "[XXXXX716]": 51090,
+  "[XXXXX717]": 50006,
+  "[XXXXX718]": 50901,
+  "[XXXXX719]": 51001,
+  "[XXXXX71]": 50954,
+  "[XXXXX720]": 50646,
+  "[XXXXX721]": 50075,
+  "[XXXXX722]": 51120,
+  "[XXXXX723]": 50215,
+  "[XXXXX724]": 50415,
+  "[XXXXX725]": 50154,
+  "[XXXXX726]": 50935,
+  "[XXXXX727]": 50545,
+  "[XXXXX728]": 51085,
+  "[XXXXX729]": 50256,
+  "[XXXXX72]": 50363,
+  "[XXXXX730]": 50700,
+  "[XXXXX731]": 50262,
+  "[XXXXX732]": 50930,
+  "[XXXXX733]": 50333,
+  "[XXXXX734]": 50884,
+  "[XXXXX735]": 51030,
+  "[XXXXX736]": 50231,
+  "[XXXXX737]": 50405,
+  "[XXXXX738]": 50962,
+  "[XXXXX739]": 50458,
+  "[XXXXX73]": 50019,
+  "[XXXXX740]": 50878,
+  "[XXXXX741]": 50910,
+  "[XXXXX742]": 50170,
+  "[XXXXX743]": 50718,
+  "[XXXXX744]": 50616,
+  "[XXXXX745]": 50358,
+  "[XXXXX746]": 50152,
+  "[XXXXX747]": 50525,
+  "[XXXXX748]": 51167,
+  "[XXXXX749]": 50653,
+  "[XXXXX74]": 50952,
+  "[XXXXX750]": 50500,
+  "[XXXXX751]": 50446,
+  "[XXXXX752]": 50995,
+  "[XXXXX753]": 50945,
+  "[XXXXX754]": 51173,
+  "[XXXXX755]": 50823,
+  "[XXXXX756]": 51060,
+  "[XXXXX757]": 50748,
+  "[XXXXX758]": 50020,
+  "[XXXXX759]": 50197,
+  "[XXXXX75]": 50502,
+  "[XXXXX760]": 50291,
+  "[XXXXX761]": 50821,
+  "[XXXXX762]": 50190,
+  "[XXXXX763]": 50745,
+  "[XXXXX764]": 50778,
+  "[XXXXX765]": 50556,
+  "[XXXXX766]": 51161,
+  "[XXXXX767]": 50466,
+  "[XXXXX768]": 50792,
+  "[XXXXX769]": 50208,
+  "[XXXXX76]": 50169,
+  "[XXXXX770]": 50647,
+  "[XXXXX771]": 50610,
+  "[XXXXX772]": 51140,
+  "[XXXXX773]": 50441,
+  "[XXXXX774]": 50870,
+  "[XXXXX775]": 50368,
+  "[XXXXX776]": 50026,
+  "[XXXXX777]": 50677,
+  "[XXXXX778]": 51168,
+  "[XXXXX779]": 50481,
+  "[XXXXX77]": 50515,
+  "[XXXXX780]": 50225,
+  "[XXXXX781]": 50408,
+  "[XXXXX782]": 50090,
+  "[XXXXX783]": 50951,
+  "[XXXXX784]": 50015,
+  "[XXXXX785]": 50658,
+  "[XXXXX786]": 50617,
+  "[XXXXX787]": 50721,
+  "[XXXXX788]": 51084,
+  "[XXXXX789]": 50830,
+  "[XXXXX78]": 50100,
+  "[XXXXX790]": 50606,
+  "[XXXXX791]": 50124,
+  "[XXXXX792]": 50078,
+  "[XXXXX793]": 51188,
+  "[XXXXX794]": 50750,
+  "[XXXXX795]": 50138,
+  "[XXXXX796]": 50239,
+  "[XXXXX797]": 50385,
+  "[XXXXX798]": 50780,
+  "[XXXXX799]": 50683,
+  "[XXXXX79]": 50436,
+  "[XXXXX7]": 50211,
+  "[XXXXX800]": 51185,
+  "[XXXXX801]": 50250,
+  "[XXXXX802]": 50456,
+  "[XXXXX803]": 50508,
+  "[XXXXX804]": 51194,
+  "[XXXXX805]": 50021,
+  "[XXXXX806]": 50307,
+  "[XXXXX807]": 50199,
+  "[XXXXX808]": 51129,
+  "[XXXXX809]": 50686,
+  "[XXXXX80]": 50370,
+  "[XXXXX810]": 50343,
+  "[XXXXX811]": 50614,
+  "[XXXXX812]": 50636,
+  "[XXXXX813]": 51198,
+  "[XXXXX814]": 50788,
+  "[XXXXX815]": 50120,
+  "[XXXXX816]": 50135,
+  "[XXXXX817]": 50293,
+  "[XXXXX818]": 50153,
+  "[XXXXX819]": 50516,
+  "[XXXXX81]": 50581,
+  "[XXXXX820]": 50586,
+  "[XXXXX821]": 50509,
+  "[XXXXX822]": 50220,
+  "[XXXXX823]": 51068,
+  "[XXXXX824]": 50946,
+  "[XXXXX825]": 50965,
+  "[XXXXX826]": 50032,
+  "[XXXXX827]": 50156,
+  "[XXXXX828]": 50449,
+  "[XXXXX829]": 50531,
+  "[XXXXX82]": 51164,
+  "[XXXXX830]": 50486,
+  "[XXXXX831]": 50357,
+  "[XXXXX832]": 51022,
+  "[XXXXX833]": 50633,
+  "[XXXXX834]": 50754,
+  "[XXXXX835]": 51134,
+  "[XXXXX836]": 50193,
+  "[XXXXX837]": 51088,
+  "[XXXXX838]": 50722,
+  "[XXXXX839]": 50756,
+  "[XXXXX83]": 50977,
+  "[XXXXX840]": 50022,
+  "[XXXXX841]": 51186,
+  "[XXXXX842]": 50575,
+  "[XXXXX843]": 50079,
+  "[XXXXX844]": 50644,
+  "[XXXXX845]": 51033,
+  "[XXXXX846]": 50454,
+  "[XXXXX847]": 50095,
+  "[XXXXX848]": 50902,
+  "[XXXXX849]": 50597,
+  "[XXXXX84]": 50167,
+  "[XXXXX850]": 51051,
+  "[XXXXX851]": 50696,
+  "[XXXXX852]": 50966,
+  "[XXXXX853]": 50034,
+  "[XXXXX854]": 50889,
+  "[XXXXX855]": 50843,
+  "[XXXXX856]": 50963,
+  "[XXXXX857]": 50227,
+  "[XXXXX858]": 51058,
+  "[XXXXX859]": 50850,
+  "[XXXXX85]": 50192,
+  "[XXXXX860]": 50228,
+  "[XXXXX861]": 50570,
+  "[XXXXX862]": 50488,
+  "[XXXXX863]": 50539,
+  "[XXXXX864]": 51182,
+  "[XXXXX865]": 50990,
+  "[XXXXX866]": 50542,
+  "[XXXXX867]": 51069,
+  "[XXXXX868]": 50480,
+  "[XXXXX869]": 50847,
+  "[XXXXX86]": 50874,
+  "[XXXXX870]": 50308,
+  "[XXXXX871]": 50510,
+  "[XXXXX872]": 50423,
+  "[XXXXX873]": 50086,
+  "[XXXXX874]": 50591,
+  "[XXXXX875]": 50728,
+  "[XXXXX876]": 50372,
+  "[XXXXX877]": 50903,
+  "[XXXXX878]": 50868,
+  "[XXXXX879]": 50763,
+  "[XXXXX87]": 50571,
+  "[XXXXX880]": 50096,
+  "[XXXXX881]": 51150,
+  "[XXXXX882]": 50460,
+  "[XXXXX883]": 51087,
+  "[XXXXX884]": 51093,
+  "[XXXXX885]": 50295,
+  "[XXXXX886]": 51037,
+  "[XXXXX887]": 51171,
+  "[XXXXX888]": 50794,
+  "[XXXXX889]": 50628,
+  "[XXXXX88]": 50520,
+  "[XXXXX890]": 51172,
+  "[XXXXX891]": 51046,
+  "[XXXXX892]": 50918,
+  "[XXXXX893]": 50998,
+  "[XXXXX894]": 50371,
+  "[XXXXX895]": 51155,
+  "[XXXXX896]": 50866,
+  "[XXXXX897]": 50229,
+  "[XXXXX898]": 51057,
+  "[XXXXX899]": 50867,
+  "[XXXXX89]": 50537,
+  "[XXXXX8]": 50784,
+  "[XXXXX900]": 50739,
+  "[XXXXX901]": 51080,
+  "[XXXXX902]": 50038,
+  "[XXXXX903]": 50321,
+  "[XXXXX904]": 50774,
+  "[XXXXX905]": 50974,
+  "[XXXXX906]": 50920,
+  "[XXXXX907]": 50469,
+  "[XXXXX908]": 51122,
+  "[XXXXX909]": 51092,
+  "[XXXXX90]": 50514,
+  "[XXXXX910]": 50798,
+  "[XXXXX911]": 50245,
+  "[XXXXX912]": 50367,
+  "[XXXXX913]": 50618,
+  "[XXXXX914]": 50072,
+  "[XXXXX915]": 50450,
+  "[XXXXX916]": 51189,
+  "[XXXXX917]": 50485,
+  "[XXXXX918]": 50283,
+  "[XXXXX919]": 50845,
+  "[XXXXX91]": 50968,
+  "[XXXXX920]": 50429,
+  "[XXXXX921]": 50364,
+  "[XXXXX922]": 50782,
+  "[XXXXX923]": 50534,
+  "[XXXXX924]": 50059,
+  "[XXXXX925]": 50102,
+  "[XXXXX926]": 50185,
+  "[XXXXX927]": 50634,
+  "[XXXXX928]": 50567,
+  "[XXXXX929]": 50895,
+  "[XXXXX92]": 50210,
+  "[XXXXX930]": 50561,
+  "[XXXXX931]": 51021,
+  "[XXXXX932]": 50107,
+  "[XXXXX933]": 50407,
+  "[XXXXX934]": 50654,
+  "[XXXXX935]": 50268,
+  "[XXXXX936]": 51153,
+  "[XXXXX937]": 50552,
+  "[XXXXX938]": 50526,
+  "[XXXXX939]": 50322,
+  "[XXXXX93]": 50912,
+  "[XXXXX940]": 50296,
+  "[XXXXX941]": 50572,
+  "[XXXXX942]": 50393,
+  "[XXXXX943]": 50312,
+  "[XXXXX944]": 50592,
+  "[XXXXX945]": 50982,
+  "[XXXXX946]": 50089,
+  "[XXXXX947]": 50331,
+  "[XXXXX948]": 50279,
+  "[XXXXX949]": 51005,
+  "[XXXXX94]": 50198,
+  "[XXXXX950]": 50114,
+  "[XXXXX951]": 50074,
+  "[XXXXX952]": 50248,
+  "[XXXXX953]": 50857,
+  "[XXXXX954]": 50841,
+  "[XXXXX955]": 51065,
+  "[XXXXX956]": 50234,
+  "[XXXXX957]": 50834,
+  "[XXXXX958]": 50535,
+  "[XXXXX959]": 51109,
+  "[XXXXX95]": 50651,
+  "[XXXXX960]": 50797,
+  "[XXXXX961]": 50914,
+  "[XXXXX962]": 50112,
+  "[XXXXX963]": 50073,
+  "[XXXXX964]": 50559,
+  "[XXXXX965]": 50933,
+  "[XXXXX966]": 50619,
+  "[XXXXX967]": 51187,
+  "[XXXXX968]": 50327,
+  "[XXXXX969]": 50698,
+  "[XXXXX96]": 50420,
+  "[XXXXX970]": 50060,
+  "[XXXXX971]": 50432,
+  "[XXXXX972]": 50620,
+  "[XXXXX973]": 50693,
+  "[XXXXX974]": 50938,
+  "[XXXXX975]": 50983,
+  "[XXXXX976]": 50334,
+  "[XXXXX977]": 50438,
+  "[XXXXX978]": 51154,
+  "[XXXXX979]": 50964,
+  "[XXXXX97]": 50672,
+  "[XXXXX980]": 50511,
+  "[XXXXX981]": 50244,
+  "[XXXXX982]": 50266,
+  "[XXXXX983]": 50134,
+  "[XXXXX984]": 50338,
+  "[XXXXX985]": 51121,
+  "[XXXXX986]": 50323,
+  "[XXXXX987]": 50909,
+  "[XXXXX988]": 51000,
+  "[XXXXX989]": 50036,
+  "[XXXXX98]": 50787,
+  "[XXXXX990]": 50512,
+  "[XXXXX991]": 50191,
+  "[XXXXX992]": 50187,
+  "[XXXXX993]": 51156,
+  "[XXXXX994]": 51135,
+  "[XXXXX995]": 50355,
+  "[XXXXX996]": 51027,
+  "[XXXXX997]": 50297,
+  "[XXXXX998]": 50928,
+  "[XXXXX999]": 50697,
+  "[XXXXX99]": 50980,
+  "[XXXXX9]": 50961
+}
diff --git a/checkpoint-2500/config.json b/checkpoint-2500/config.json
new file mode 100644
index 0000000..000c292
--- /dev/null
+++ b/checkpoint-2500/config.json
@@ -0,0 +1,34 @@
+{
+  "activation_function": "gelu",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50000,
+  "dtype": "bfloat16",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50001,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 512,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": 3072,
+  "n_layer": 12,
+  "n_positions": 512,
+  "pad_token_id": 50002,
+  "prefix": "[CLS]",
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "vocab_size": 51200
+}
diff --git a/checkpoint-2500/generation_config.json b/checkpoint-2500/generation_config.json
new file mode 100644
index 0000000..4c122f0
--- /dev/null
+++ b/checkpoint-2500/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50000,
+  "eos_token_id": [
+    50001
+  ],
+  "pad_token_id": 50002,
+  "transformers_version": "4.56.2"
+}
diff --git a/checkpoint-2500/model.safetensors b/checkpoint-2500/model.safetensors
new file mode 100644
index 0000000..e39d5bb
--- /dev/null
+++ b/checkpoint-2500/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ec72f27b8c232bf05a8fd977f5951d08c8c4cd9e11439b54bededd5a3153fc2e
+size 249556672
diff --git a/checkpoint-2500/rng_state.pth b/checkpoint-2500/rng_state.pth
new file mode 100644
index 0000000..ddaefc5
--- /dev/null
+++ b/checkpoint-2500/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5f5ef1be26c043e886202bbe5fc359c01247e9a36c69a4cc6d3ca78a6d3c2a7a
+size 14645
diff --git a/checkpoint-2500/special_tokens_map.json b/checkpoint-2500/special_tokens_map.json
new file mode 100644
index 0000000..c78a835
--- /dev/null
+++ b/checkpoint-2500/special_tokens_map.json
@@ -0,0 +1,1249 @@
+{
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/checkpoint-2500/spiece.model b/checkpoint-2500/spiece.model
new file mode 100644
index 0000000..85d6e93
--- /dev/null
+++ b/checkpoint-2500/spiece.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:762a1e078899c6ba7ef62ef873a57b860c51cc0518791854659b58b4c89742fe
+size 1170764
diff --git a/checkpoint-2500/tokenizer_config.json b/checkpoint-2500/tokenizer_config.json
new file mode 100644
index 0000000..b27d01f
--- /dev/null
+++ b/checkpoint-2500/tokenizer_config.json
@@ -0,0 +1,10825 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50000": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50001": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50002": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50003": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50004": {
+      "content": "[XXXXX160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50005": {
+      "content": "[XXXXX240]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50006": {
+      "content": "[XXXXX717]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50007": {
+      "content": "[XXXXX23]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50008": {
+      "content": "[XXXXX161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50009": {
+      "content": "[XXXXX1156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50010": {
+      "content": "[XXXXX5]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50011": {
+      "content": "[XXXXX597]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50012": {
+      "content": "[XXXXX415]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50013": {
+      "content": "[XXXXX693]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50014": {
+      "content": "[XXXXX1083]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50015": {
+      "content": "[XXXXX784]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50016": {
+      "content": "[XXXXX686]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50017": {
+      "content": "[XXXXX379]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50018": {
+      "content": "[XXXXX335]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50019": {
+      "content": "[XXXXX73]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50020": {
+      "content": "[XXXXX758]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50021": {
+      "content": "[XXXXX805]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50022": {
+      "content": "[XXXXX840]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50023": {
+      "content": "[XXXXX1037]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50024": {
+      "content": "[XXXXX235]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50025": {
+      "content": "[XXXXX1107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50026": {
+      "content": "[XXXXX776]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50027": {
+      "content": "[XXXXX286]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50028": {
+      "content": "[XXXXX396]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50029": {
+      "content": "[XXXXX478]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50030": {
+      "content": "[XXXXX669]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50031": {
+      "content": "[XXXXX691]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50032": {
+      "content": "[XXXXX826]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50033": {
+      "content": "[XXXXX1150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50034": {
+      "content": "[XXXXX853]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50035": {
+      "content": "[XXXXX130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50036": {
+      "content": "[XXXXX989]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50037": {
+      "content": "[XXXXX249]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50038": {
+      "content": "[XXXXX902]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50039": {
+      "content": "[XXXXX1169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50040": {
+      "content": "[XXXXX260]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50041": {
+      "content": "[XXXXX706]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50042": {
+      "content": "[XXXXX146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50043": {
+      "content": "[XXXXX198]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50044": {
+      "content": "[XXXXX303]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50045": {
+      "content": "[XXXXX1192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50046": {
+      "content": "[XXXXX635]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50047": {
+      "content": "[XXXXX271]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50048": {
+      "content": "[XXXXX1023]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50049": {
+      "content": "[XXXXX602]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50050": {
+      "content": "[XXXXX291]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50051": {
+      "content": "[XXXXX190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50052": {
+      "content": "[XXXXX1055]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50053": {
+      "content": "[XXXXX70]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50054": {
+      "content": "[XXXXX178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50055": {
+      "content": "[XXXXX318]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50056": {
+      "content": "[XXXXX62]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50057": {
+      "content": "[XXXXX473]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50058": {
+      "content": "[XXXXX517]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50059": {
+      "content": "[XXXXX924]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50060": {
+      "content": "[XXXXX970]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50061": {
+      "content": "[XXXXX1033]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50062": {
+      "content": "[XXXXX110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50063": {
+      "content": "[XXXXX1151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50064": {
+      "content": "[XXXXX1189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50065": {
+      "content": "[XXXXX1095]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50066": {
+      "content": "[XXXXX148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50067": {
+      "content": "[XXXXX337]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50068": {
+      "content": "[XXXXX245]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50069": {
+      "content": "[XXXXX407]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50070": {
+      "content": "[XXXXX557]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50071": {
+      "content": "[XXXXX576]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50072": {
+      "content": "[XXXXX914]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50073": {
+      "content": "[XXXXX963]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50074": {
+      "content": "[XXXXX951]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50075": {
+      "content": "[XXXXX721]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50076": {
+      "content": "[XXXXX1174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50077": {
+      "content": "[XXXXX3]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50078": {
+      "content": "[XXXXX792]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50079": {
+      "content": "[XXXXX843]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50080": {
+      "content": "[XXXXX590]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50081": {
+      "content": "[XXXXX118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50082": {
+      "content": "[XXXXX280]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50083": {
+      "content": "[XXXXX1119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50084": {
+      "content": "[XXXXX1025]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50085": {
+      "content": "[XXXXX140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50086": {
+      "content": "[XXXXX873]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50087": {
+      "content": "[XXXXX103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50088": {
+      "content": "[XXXXX307]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50089": {
+      "content": "[XXXXX946]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50090": {
+      "content": "[XXXXX782]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50091": {
+      "content": "[XXXXX100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50092": {
+      "content": "[XXXXX485]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50093": {
+      "content": "[XXXXX151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50094": {
+      "content": "[XXXXX213]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50095": {
+      "content": "[XXXXX847]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50096": {
+      "content": "[XXXXX880]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50097": {
+      "content": "[XXXXX44]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50098": {
+      "content": "[XXXXX1031]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50099": {
+      "content": "[XXXXX545]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50100": {
+      "content": "[XXXXX78]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50101": {
+      "content": "[XXXXX687]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50102": {
+      "content": "[XXXXX925]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50103": {
+      "content": "[XXXXX519]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50104": {
+      "content": "[XXXXX1191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50105": {
+      "content": "[XXXXX13]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50106": {
+      "content": "[XXXXX487]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50107": {
+      "content": "[XXXXX932]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50108": {
+      "content": "[XXXXX119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50109": {
+      "content": "[XXXXX170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50110": {
+      "content": "[XXXXX254]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50111": {
+      "content": "[XXXXX420]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50112": {
+      "content": "[XXXXX962]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50113": {
+      "content": "[XXXXX441]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50114": {
+      "content": "[XXXXX950]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50115": {
+      "content": "[XXXXX18]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50116": {
+      "content": "[XXXXX676]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50117": {
+      "content": "[XXXXX1133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50118": {
+      "content": "[XXXXX618]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50119": {
+      "content": "[XXXXX374]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50120": {
+      "content": "[XXXXX815]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50121": {
+      "content": "[XXXXX1058]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50122": {
+      "content": "[XXXXX1108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50123": {
+      "content": "[XXXXX1144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50124": {
+      "content": "[XXXXX791]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50125": {
+      "content": "[XXXXX259]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50126": {
+      "content": "[XXXXX1074]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50127": {
+      "content": "[XXXXX696]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50128": {
+      "content": "[XXXXX1168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50129": {
+      "content": "[XXXXX592]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50130": {
+      "content": "[XXXXX127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50131": {
+      "content": "[XXXXX136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50132": {
+      "content": "[XXXXX237]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50133": {
+      "content": "[XXXXX705]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50134": {
+      "content": "[XXXXX983]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50135": {
+      "content": "[XXXXX816]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50136": {
+      "content": "[XXXXX412]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50137": {
+      "content": "[XXXXX410]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50138": {
+      "content": "[XXXXX795]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50139": {
+      "content": "[XXXXX101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50140": {
+      "content": "[XXXXX171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50141": {
+      "content": "[XXXXX628]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50142": {
+      "content": "[XXXXX1038]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50143": {
+      "content": "[XXXXX447]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50144": {
+      "content": "[XXXXX1043]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50145": {
+      "content": "[XXXXX147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50146": {
+      "content": "[XXXXX1112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50147": {
+      "content": "[XXXXX186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50148": {
+      "content": "[XXXXX461]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50149": {
+      "content": "[XXXXX423]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50150": {
+      "content": "[XXXXX26]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50151": {
+      "content": "[XXXXX227]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50152": {
+      "content": "[XXXXX746]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50153": {
+      "content": "[XXXXX818]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50154": {
+      "content": "[XXXXX725]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50155": {
+      "content": "[XXXXX400]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50156": {
+      "content": "[XXXXX827]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50157": {
+      "content": "[XXXXX1020]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50158": {
+      "content": "[XXXXX1060]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50159": {
+      "content": "[XXXXX195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50160": {
+      "content": "[XXXXX526]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50161": {
+      "content": "[XXXXX570]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50162": {
+      "content": "[XXXXX174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50163": {
+      "content": "[XXXXX333]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50164": {
+      "content": "[XXXXX466]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50165": {
+      "content": "[XXXXX513]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50166": {
+      "content": "[XXXXX695]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50167": {
+      "content": "[XXXXX84]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50168": {
+      "content": "[XXXXX1080]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50169": {
+      "content": "[XXXXX76]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50170": {
+      "content": "[XXXXX742]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50171": {
+      "content": "[XXXXX1008]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50172": {
+      "content": "[XXXXX1123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50173": {
+      "content": "[XXXXX1145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50174": {
+      "content": "[XXXXX701]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50175": {
+      "content": "[XXXXX562]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50176": {
+      "content": "[XXXXX615]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50177": {
+      "content": "[XXXXX389]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50178": {
+      "content": "[XXXXX267]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50179": {
+      "content": "[XXXXX323]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50180": {
+      "content": "[XXXXX346]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50181": {
+      "content": "[XXXXX287]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50182": {
+      "content": "[XXXXX469]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50183": {
+      "content": "[XXXXX58]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50184": {
+      "content": "[XXXXX431]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50185": {
+      "content": "[XXXXX926]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50186": {
+      "content": "[XXXXX1182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50187": {
+      "content": "[XXXXX992]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50188": {
+      "content": "[XXXXX185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50189": {
+      "content": "[XXXXX352]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50190": {
+      "content": "[XXXXX762]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50191": {
+      "content": "[XXXXX991]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50192": {
+      "content": "[XXXXX85]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50193": {
+      "content": "[XXXXX836]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50194": {
+      "content": "[XXXXX460]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50195": {
+      "content": "[XXXXX272]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50196": {
+      "content": "[XXXXX619]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50197": {
+      "content": "[XXXXX759]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50198": {
+      "content": "[XXXXX94]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50199": {
+      "content": "[XXXXX807]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50200": {
+      "content": "[XXXXX299]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50201": {
+      "content": "[XXXXX187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50202": {
+      "content": "[XXXXX486]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50203": {
+      "content": "[XXXXX45]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50204": {
+      "content": "[XXXXX1036]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50205": {
+      "content": "[XXXXX354]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50206": {
+      "content": "[XXXXX386]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50207": {
+      "content": "[XXXXX714]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50208": {
+      "content": "[XXXXX769]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50209": {
+      "content": "[XXXXX304]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50210": {
+      "content": "[XXXXX92]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50211": {
+      "content": "[XXXXX7]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50212": {
+      "content": "[XXXXX31]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50213": {
+      "content": "[XXXXX102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50214": {
+      "content": "[XXXXX163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50215": {
+      "content": "[XXXXX723]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50216": {
+      "content": "[XXXXX1042]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50217": {
+      "content": "[XXXXX452]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50218": {
+      "content": "[XXXXX622]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50219": {
+      "content": "[XXXXX1056]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50220": {
+      "content": "[XXXXX822]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50221": {
+      "content": "[XXXXX125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50222": {
+      "content": "[XXXXX617]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50223": {
+      "content": "[XXXXX34]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50224": {
+      "content": "[XXXXX712]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50225": {
+      "content": "[XXXXX780]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50226": {
+      "content": "[XXXXX547]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50227": {
+      "content": "[XXXXX857]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50228": {
+      "content": "[XXXXX860]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50229": {
+      "content": "[XXXXX897]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50230": {
+      "content": "[XXXXX663]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50231": {
+      "content": "[XXXXX736]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50232": {
+      "content": "[XXXXX202]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50233": {
+      "content": "[XXXXX1029]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50234": {
+      "content": "[XXXXX956]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50235": {
+      "content": "[XXXXX397]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50236": {
+      "content": "[XXXXX239]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50237": {
+      "content": "[XXXXX472]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50238": {
+      "content": "[XXXXX230]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50239": {
+      "content": "[XXXXX796]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50240": {
+      "content": "[XXXXX639]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50241": {
+      "content": "[XXXXX203]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50242": {
+      "content": "[XXXXX231]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50243": {
+      "content": "[XXXXX652]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50244": {
+      "content": "[XXXXX981]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50245": {
+      "content": "[XXXXX911]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50246": {
+      "content": "[XXXXX380]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50247": {
+      "content": "[XXXXX477]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50248": {
+      "content": "[XXXXX952]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50249": {
+      "content": "[XXXXX28]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50250": {
+      "content": "[XXXXX801]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50251": {
+      "content": "[XXXXX1134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50252": {
+      "content": "[XXXXX1176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50253": {
+      "content": "[XXXXX180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50254": {
+      "content": "[XXXXX598]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50255": {
+      "content": "[XXXXX365]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50256": {
+      "content": "[XXXXX729]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50257": {
+      "content": "[XXXXX214]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50258": {
+      "content": "[XXXXX1117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50259": {
+      "content": "[XXXXX278]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50260": {
+      "content": "[XXXXX522]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50261": {
+      "content": "[XXXXX683]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50262": {
+      "content": "[XXXXX731]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50263": {
+      "content": "[XXXXX312]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "[XXXXX1178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50265": {
+      "content": "[XXXXX666]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50266": {
+      "content": "[XXXXX982]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50267": {
+      "content": "[XXXXX414]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50268": {
+      "content": "[XXXXX935]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50269": {
+      "content": "[XXXXX1089]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50270": {
+      "content": "[XXXXX236]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50271": {
+      "content": "[XXXXX463]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50272": {
+      "content": "[XXXXX52]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50273": {
+      "content": "[XXXXX593]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50274": {
+      "content": "[XXXXX508]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50275": {
+      "content": "[XXXXX1125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50276": {
+      "content": "[XXXXX462]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50277": {
+      "content": "[XXXXX32]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50278": {
+      "content": "[XXXXX596]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50279": {
+      "content": "[XXXXX948]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50280": {
+      "content": "[XXXXX150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50281": {
+      "content": "[XXXXX322]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50282": {
+      "content": "[XXXXX390]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50283": {
+      "content": "[XXXXX918]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50284": {
+      "content": "[XXXXX157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50285": {
+      "content": "[XXXXX310]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50286": {
+      "content": "[XXXXX392]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50287": {
+      "content": "[XXXXX649]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50288": {
+      "content": "[XXXXX158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50289": {
+      "content": "[XXXXX430]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50290": {
+      "content": "[XXXXX384]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50291": {
+      "content": "[XXXXX760]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50292": {
+      "content": "[XXXXX700]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50293": {
+      "content": "[XXXXX817]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50294": {
+      "content": "[XXXXX115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50295": {
+      "content": "[XXXXX885]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50296": {
+      "content": "[XXXXX940]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50297": {
+      "content": "[XXXXX997]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50298": {
+      "content": "[XXXXX61]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50299": {
+      "content": "[XXXXX209]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50300": {
+      "content": "[XXXXX316]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50301": {
+      "content": "[XXXXX537]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50302": {
+      "content": "[XXXXX599]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50303": {
+      "content": "[XXXXX680]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50304": {
+      "content": "[XXXXX135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50305": {
+      "content": "[XXXXX39]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50306": {
+      "content": "[XXXXX685]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50307": {
+      "content": "[XXXXX806]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50308": {
+      "content": "[XXXXX870]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50309": {
+      "content": "[XXXXX1096]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50310": {
+      "content": "[XXXXX366]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50311": {
+      "content": "[XXXXX509]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50312": {
+      "content": "[XXXXX943]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50313": {
+      "content": "[XXXXX292]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50314": {
+      "content": "[XXXXX367]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50315": {
+      "content": "[XXXXX632]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50316": {
+      "content": "[XXXXX1136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50317": {
+      "content": "[XXXXX156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50318": {
+      "content": "[XXXXX1100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50319": {
+      "content": "[XXXXX432]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50320": {
+      "content": "[XXXXX514]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50321": {
+      "content": "[XXXXX903]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50322": {
+      "content": "[XXXXX939]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50323": {
+      "content": "[XXXXX986]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50324": {
+      "content": "[XXXXX506]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50325": {
+      "content": "[XXXXX10]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50326": {
+      "content": "[XXXXX573]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50327": {
+      "content": "[XXXXX968]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50328": {
+      "content": "[XXXXX1039]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50329": {
+      "content": "[XXXXX252]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50330": {
+      "content": "[XXXXX612]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50331": {
+      "content": "[XXXXX947]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50332": {
+      "content": "[XXXXX1162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50333": {
+      "content": "[XXXXX733]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50334": {
+      "content": "[XXXXX976]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50335": {
+      "content": "[XXXXX535]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50336": {
+      "content": "[XXXXX710]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50337": {
+      "content": "[XXXXX40]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50338": {
+      "content": "[XXXXX984]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50339": {
+      "content": "[XXXXX584]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50340": {
+      "content": "[XXXXX132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50341": {
+      "content": "[XXXXX1084]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50342": {
+      "content": "[XXXXX549]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50343": {
+      "content": "[XXXXX810]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50344": {
+      "content": "[XXXXX208]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50345": {
+      "content": "[XXXXX609]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50346": {
+      "content": "[XXXXX275]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50347": {
+      "content": "[XXXXX262]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50348": {
+      "content": "[XXXXX331]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50349": {
+      "content": "[XXXXX361]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50350": {
+      "content": "[XXXXX561]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50351": {
+      "content": "[XXXXX143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50352": {
+      "content": "[XXXXX1061]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50353": {
+      "content": "[XXXXX59]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50354": {
+      "content": "[XXXXX21]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50355": {
+      "content": "[XXXXX995]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50356": {
+      "content": "[XXXXX439]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50357": {
+      "content": "[XXXXX831]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50358": {
+      "content": "[XXXXX745]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50359": {
+      "content": "[XXXXX43]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50360": {
+      "content": "[XXXXX498]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50361": {
+      "content": "[XXXXX575]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50362": {
+      "content": "[XXXXX624]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50363": {
+      "content": "[XXXXX72]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50364": {
+      "content": "[XXXXX921]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50365": {
+      "content": "[XXXXX201]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50366": {
+      "content": "[XXXXX1171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50367": {
+      "content": "[XXXXX912]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50368": {
+      "content": "[XXXXX775]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50369": {
+      "content": "[XXXXX1094]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50370": {
+      "content": "[XXXXX80]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50371": {
+      "content": "[XXXXX894]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50372": {
+      "content": "[XXXXX876]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50373": {
+      "content": "[XXXXX1143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50374": {
+      "content": "[XXXXX355]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50375": {
+      "content": "[XXXXX450]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50376": {
+      "content": "[XXXXX642]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50377": {
+      "content": "[XXXXX162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50378": {
+      "content": "[XXXXX394]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50379": {
+      "content": "[XXXXX296]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50380": {
+      "content": "[XXXXX536]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50381": {
+      "content": "[XXXXX560]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50382": {
+      "content": "[XXXXX373]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50383": {
+      "content": "[XXXXX674]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50384": {
+      "content": "[XXXXX1099]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50385": {
+      "content": "[XXXXX797]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50386": {
+      "content": "[XXXXX516]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50387": {
+      "content": "[XXXXX41]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50388": {
+      "content": "[XXXXX594]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50389": {
+      "content": "[XXXXX319]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50390": {
+      "content": "[XXXXX165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50391": {
+      "content": "[XXXXX344]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50392": {
+      "content": "[XXXXX1012]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50393": {
+      "content": "[XXXXX942]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50394": {
+      "content": "[XXXXX1071]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50395": {
+      "content": "[XXXXX648]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50396": {
+      "content": "[XXXXX4]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50397": {
+      "content": "[XXXXX633]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50398": {
+      "content": "[XXXXX551]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50399": {
+      "content": "[XXXXX586]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50400": {
+      "content": "[XXXXX578]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50401": {
+      "content": "[XXXXX348]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50402": {
+      "content": "[XXXXX614]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50403": {
+      "content": "[XXXXX33]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50404": {
+      "content": "[XXXXX1193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50405": {
+      "content": "[XXXXX737]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50406": {
+      "content": "[XXXXX233]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50407": {
+      "content": "[XXXXX933]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50408": {
+      "content": "[XXXXX781]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50409": {
+      "content": "[XXXXX189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50410": {
+      "content": "[XXXXX1006]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50411": {
+      "content": "[XXXXX219]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50412": {
+      "content": "[XXXXX454]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50413": {
+      "content": "[XXXXX449]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50414": {
+      "content": "[XXXXX697]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50415": {
+      "content": "[XXXXX724]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50416": {
+      "content": "[XXXXX224]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50417": {
+      "content": "[XXXXX1157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50418": {
+      "content": "[XXXXX455]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50419": {
+      "content": "[XXXXX505]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50420": {
+      "content": "[XXXXX96]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50421": {
+      "content": "[XXXXX182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50422": {
+      "content": "[XXXXX424]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50423": {
+      "content": "[XXXXX872]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50424": {
+      "content": "[XXXXX1163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50425": {
+      "content": "[XXXXX1081]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50426": {
+      "content": "[XXXXX1173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50427": {
+      "content": "[XXXXX172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50428": {
+      "content": "[XXXXX507]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50429": {
+      "content": "[XXXXX920]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50430": {
+      "content": "[XXXXX1126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50431": {
+      "content": "[XXXXX474]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50432": {
+      "content": "[XXXXX971]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50433": {
+      "content": "[XXXXX1049]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50434": {
+      "content": "[XXXXX1114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50435": {
+      "content": "[XXXXX1040]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50436": {
+      "content": "[XXXXX79]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50437": {
+      "content": "[XXXXX36]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50438": {
+      "content": "[XXXXX977]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50439": {
+      "content": "[XXXXX1129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50440": {
+      "content": "[XXXXX1063]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50441": {
+      "content": "[XXXXX773]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50442": {
+      "content": "[XXXXX16]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50443": {
+      "content": "[XXXXX113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50444": {
+      "content": "[XXXXX320]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50445": {
+      "content": "[XXXXX167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50446": {
+      "content": "[XXXXX751]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50447": {
+      "content": "[XXXXX656]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50448": {
+      "content": "[XXXXX543]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50449": {
+      "content": "[XXXXX828]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50450": {
+      "content": "[XXXXX915]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50451": {
+      "content": "[XXXXX1098]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50452": {
+      "content": "[XXXXX569]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50453": {
+      "content": "[XXXXX1166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50454": {
+      "content": "[XXXXX846]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50455": {
+      "content": "[XXXXX324]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50456": {
+      "content": "[XXXXX802]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50457": {
+      "content": "[XXXXX588]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50458": {
+      "content": "[XXXXX739]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50459": {
+      "content": "[XXXXX50]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50460": {
+      "content": "[XXXXX882]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50461": {
+      "content": "[XXXXX1054]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50462": {
+      "content": "[XXXXX621]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50463": {
+      "content": "[XXXXX585]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50464": {
+      "content": "[XXXXX121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50465": {
+      "content": "[XXXXX647]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50466": {
+      "content": "[XXXXX767]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50467": {
+      "content": "[XXXXX645]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50468": {
+      "content": "[XXXXX27]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50469": {
+      "content": "[XXXXX907]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50470": {
+      "content": "[XXXXX1109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50471": {
+      "content": "[XXXXX1147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50472": {
+      "content": "[XXXXX501]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50473": {
+      "content": "[XXXXX1164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50474": {
+      "content": "[XXXXX650]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50475": {
+      "content": "[XXXXX329]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50476": {
+      "content": "[XXXXX659]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50477": {
+      "content": "[XXXXX1158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50478": {
+      "content": "[XXXXX104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50479": {
+      "content": "[XXXXX629]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50480": {
+      "content": "[XXXXX868]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50481": {
+      "content": "[XXXXX779]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50482": {
+      "content": "[XXXXX17]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50483": {
+      "content": "[XXXXX377]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50484": {
+      "content": "[XXXXX467]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50485": {
+      "content": "[XXXXX917]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50486": {
+      "content": "[XXXXX830]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50487": {
+      "content": "[XXXXX533]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50488": {
+      "content": "[XXXXX862]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50489": {
+      "content": "[XXXXX1041]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50490": {
+      "content": "[XXXXX542]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50491": {
+      "content": "[XXXXX595]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50492": {
+      "content": "[XXXXX353]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50493": {
+      "content": "[XXXXX181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50494": {
+      "content": "[XXXXX662]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50495": {
+      "content": "[XXXXX1195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50496": {
+      "content": "[XXXXX435]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50497": {
+      "content": "[XXXXX1051]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50498": {
+      "content": "[XXXXX703]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50499": {
+      "content": "[XXXXX1140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50500": {
+      "content": "[XXXXX750]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50501": {
+      "content": "[XXXXX57]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50502": {
+      "content": "[XXXXX75]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50503": {
+      "content": "[XXXXX293]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50504": {
+      "content": "[XXXXX681]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50505": {
+      "content": "[XXXXX46]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50506": {
+      "content": "[XXXXX30]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50507": {
+      "content": "[XXXXX402]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50508": {
+      "content": "[XXXXX803]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50509": {
+      "content": "[XXXXX821]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50510": {
+      "content": "[XXXXX871]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50511": {
+      "content": "[XXXXX980]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50512": {
+      "content": "[XXXXX990]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50513": {
+      "content": "[XXXXX626]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50514": {
+      "content": "[XXXXX90]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50515": {
+      "content": "[XXXXX77]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50516": {
+      "content": "[XXXXX819]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50517": {
+      "content": "[XXXXX436]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50518": {
+      "content": "[XXXXX306]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50519": {
+      "content": "[XXXXX434]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50520": {
+      "content": "[XXXXX88]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50521": {
+      "content": "[XXXXX184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50522": {
+      "content": "[XXXXX290]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50523": {
+      "content": "[XXXXX216]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50524": {
+      "content": "[XXXXX176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50525": {
+      "content": "[XXXXX747]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50526": {
+      "content": "[XXXXX938]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50527": {
+      "content": "[XXXXX442]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50528": {
+      "content": "[XXXXX301]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50529": {
+      "content": "[XXXXX1015]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50530": {
+      "content": "[XXXXX520]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50531": {
+      "content": "[XXXXX829]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50532": {
+      "content": "[XXXXX106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50533": {
+      "content": "[XXXXX1048]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50534": {
+      "content": "[XXXXX923]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50535": {
+      "content": "[XXXXX958]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50536": {
+      "content": "[XXXXX1130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50537": {
+      "content": "[XXXXX89]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50538": {
+      "content": "[XXXXX548]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50539": {
+      "content": "[XXXXX863]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50540": {
+      "content": "[XXXXX444]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50541": {
+      "content": "[XXXXX1149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50542": {
+      "content": "[XXXXX866]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50543": {
+      "content": "[XXXXX109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50544": {
+      "content": "[XXXXX550]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50545": {
+      "content": "[XXXXX727]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50546": {
+      "content": "[XXXXX646]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50547": {
+      "content": "[XXXXX702]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50548": {
+      "content": "[XXXXX204]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50549": {
+      "content": "[XXXXX1000]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50550": {
+      "content": "[XXXXX591]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50551": {
+      "content": "[XXXXX1128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50552": {
+      "content": "[XXXXX937]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50553": {
+      "content": "[XXXXX141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50554": {
+      "content": "[XXXXX273]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50555": {
+      "content": "[XXXXX1183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50556": {
+      "content": "[XXXXX765]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50557": {
+      "content": "[XXXXX371]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50558": {
+      "content": "[XXXXX256]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50559": {
+      "content": "[XXXXX964]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50560": {
+      "content": "[XXXXX1148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50561": {
+      "content": "[XXXXX930]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50562": {
+      "content": "[XXXXX212]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50563": {
+      "content": "[XXXXX133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50564": {
+      "content": "[XXXXX608]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50565": {
+      "content": "[XXXXX281]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50566": {
+      "content": "[XXXXX1045]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50567": {
+      "content": "[XXXXX928]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50568": {
+      "content": "[XXXXX1154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50569": {
+      "content": "[XXXXX334]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50570": {
+      "content": "[XXXXX861]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50571": {
+      "content": "[XXXXX87]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50572": {
+      "content": "[XXXXX941]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50573": {
+      "content": "[XXXXX359]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50574": {
+      "content": "[XXXXX55]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50575": {
+      "content": "[XXXXX842]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50576": {
+      "content": "[XXXXX427]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50577": {
+      "content": "[XXXXX491]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50578": {
+      "content": "[XXXXX137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50579": {
+      "content": "[XXXXX47]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50580": {
+      "content": "[XXXXX511]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50581": {
+      "content": "[XXXXX81]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50582": {
+      "content": "[XXXXX139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50583": {
+      "content": "[XXXXX226]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50584": {
+      "content": "[XXXXX563]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50585": {
+      "content": "[XXXXX708]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50586": {
+      "content": "[XXXXX820]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50587": {
+      "content": "[XXXXX65]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50588": {
+      "content": "[XXXXX381]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50589": {
+      "content": "[XXXXX22]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50590": {
+      "content": "[XXXXX1064]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50591": {
+      "content": "[XXXXX874]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50592": {
+      "content": "[XXXXX944]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50593": {
+      "content": "[XXXXX6]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50594": {
+      "content": "[XXXXX313]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50595": {
+      "content": "[XXXXX471]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50596": {
+      "content": "[XXXXX1118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50597": {
+      "content": "[XXXXX849]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50598": {
+      "content": "[XXXXX483]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50599": {
+      "content": "[XXXXX713]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50600": {
+      "content": "[XXXXX222]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50601": {
+      "content": "[XXXXX640]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50602": {
+      "content": "[XXXXX12]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50603": {
+      "content": "[XXXXX285]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50604": {
+      "content": "[XXXXX327]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50605": {
+      "content": "[XXXXX378]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50606": {
+      "content": "[XXXXX790]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50607": {
+      "content": "[XXXXX1179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50608": {
+      "content": "[XXXXX15]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50609": {
+      "content": "[XXXXX229]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50610": {
+      "content": "[XXXXX771]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50611": {
+      "content": "[XXXXX559]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50612": {
+      "content": "[XXXXX253]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50613": {
+      "content": "[XXXXX644]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50614": {
+      "content": "[XXXXX811]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50615": {
+      "content": "[XXXXX554]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50616": {
+      "content": "[XXXXX744]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50617": {
+      "content": "[XXXXX786]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50618": {
+      "content": "[XXXXX913]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50619": {
+      "content": "[XXXXX966]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50620": {
+      "content": "[XXXXX972]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50621": {
+      "content": "[XXXXX664]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50622": {
+      "content": "[XXXXX1131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50623": {
+      "content": "[XXXXX1132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50624": {
+      "content": "[XXXXX376]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50625": {
+      "content": "[XXXXX672]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50626": {
+      "content": "[XXXXX1013]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50627": {
+      "content": "[XXXXX328]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50628": {
+      "content": "[XXXXX889]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50629": {
+      "content": "[XXXXX1141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50630": {
+      "content": "[XXXXX429]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50631": {
+      "content": "[XXXXX114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50632": {
+      "content": "[XXXXX523]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50633": {
+      "content": "[XXXXX833]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50634": {
+      "content": "[XXXXX927]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50635": {
+      "content": "[XXXXX297]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50636": {
+      "content": "[XXXXX812]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50637": {
+      "content": "[XXXXX1062]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50638": {
+      "content": "[XXXXX152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50639": {
+      "content": "[XXXXX1010]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50640": {
+      "content": "[XXXXX690]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50641": {
+      "content": "[XXXXX363]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50642": {
+      "content": "[XXXXX1103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50643": {
+      "content": "[XXXXX194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50644": {
+      "content": "[XXXXX844]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50645": {
+      "content": "[XXXXX667]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50646": {
+      "content": "[XXXXX720]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50647": {
+      "content": "[XXXXX770]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50648": {
+      "content": "[XXXXX515]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50649": {
+      "content": "[XXXXX196]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50650": {
+      "content": "[XXXXX283]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50651": {
+      "content": "[XXXXX95]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50652": {
+      "content": "[XXXXX528]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50653": {
+      "content": "[XXXXX749]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50654": {
+      "content": "[XXXXX934]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50655": {
+      "content": "[XXXXX1052]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50656": {
+      "content": "[XXXXX1188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50657": {
+      "content": "[XXXXX1001]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50658": {
+      "content": "[XXXXX785]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50659": {
+      "content": "[XXXXX393]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50660": {
+      "content": "[XXXXX502]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50661": {
+      "content": "[XXXXX404]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50662": {
+      "content": "[XXXXX129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50663": {
+      "content": "[XXXXX643]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50664": {
+      "content": "[XXXXX1086]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50665": {
+      "content": "[XXXXX1104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50666": {
+      "content": "[XXXXX326]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50667": {
+      "content": "[XXXXX330]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50668": {
+      "content": "[XXXXX620]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50669": {
+      "content": "[XXXXX193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50670": {
+      "content": "[XXXXX470]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50671": {
+      "content": "[XXXXX279]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50672": {
+      "content": "[XXXXX97]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50673": {
+      "content": "[XXXXX177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50674": {
+      "content": "[XXXXX510]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50675": {
+      "content": "[XXXXX225]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50676": {
+      "content": "[XXXXX572]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50677": {
+      "content": "[XXXXX777]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50678": {
+      "content": "[XXXXX1135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50679": {
+      "content": "[XXXXX1160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50680": {
+      "content": "[XXXXX558]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50681": {
+      "content": "[XXXXX416]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50682": {
+      "content": "[XXXXX246]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50683": {
+      "content": "[XXXXX799]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50684": {
+      "content": "[XXXXX153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50685": {
+      "content": "[XXXXX671]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50686": {
+      "content": "[XXXXX809]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50687": {
+      "content": "[XXXXX525]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50688": {
+      "content": "[XXXXX1004]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50689": {
+      "content": "[XXXXX1005]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50690": {
+      "content": "[XXXXX1194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50691": {
+      "content": "[XXXXX408]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50692": {
+      "content": "[XXXXX492]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50693": {
+      "content": "[XXXXX973]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50694": {
+      "content": "[XXXXX242]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50695": {
+      "content": "[XXXXX357]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50696": {
+      "content": "[XXXXX851]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50697": {
+      "content": "[XXXXX999]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50698": {
+      "content": "[XXXXX969]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50699": {
+      "content": "[XXXXX453]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50700": {
+      "content": "[XXXXX730]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50701": {
+      "content": "[XXXXX54]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50702": {
+      "content": "[XXXXX480]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50703": {
+      "content": "[XXXXX564]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50704": {
+      "content": "[XXXXX600]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50705": {
+      "content": "[XXXXX654]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50706": {
+      "content": "[XXXXX37]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50707": {
+      "content": "[XXXXX605]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50708": {
+      "content": "[XXXXX164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50709": {
+      "content": "[XXXXX395]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50710": {
+      "content": "[XXXXX401]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50711": {
+      "content": "[XXXXX446]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50712": {
+      "content": "[XXXXX658]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50713": {
+      "content": "[XXXXX60]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50714": {
+      "content": "[XXXXX107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50715": {
+      "content": "[XXXXX131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50716": {
+      "content": "[XXXXX387]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50717": {
+      "content": "[XXXXX67]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50718": {
+      "content": "[XXXXX743]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50719": {
+      "content": "[XXXXX657]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50720": {
+      "content": "[XXXXX418]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50721": {
+      "content": "[XXXXX787]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50722": {
+      "content": "[XXXXX838]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50723": {
+      "content": "[XXXXX298]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50724": {
+      "content": "[XXXXX1007]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50725": {
+      "content": "[XXXXX1027]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50726": {
+      "content": "[XXXXX1078]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50727": {
+      "content": "[XXXXX651]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50728": {
+      "content": "[XXXXX875]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50729": {
+      "content": "[XXXXX258]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50730": {
+      "content": "[XXXXX413]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50731": {
+      "content": "[XXXXX1092]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50732": {
+      "content": "[XXXXX124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50733": {
+      "content": "[XXXXX308]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50734": {
+      "content": "[XXXXX1085]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50735": {
+      "content": "[XXXXX1170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50736": {
+      "content": "[XXXXX38]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50737": {
+      "content": "[XXXXX438]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50738": {
+      "content": "[XXXXX475]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50739": {
+      "content": "[XXXXX900]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50740": {
+      "content": "[XXXXX263]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50741": {
+      "content": "[XXXXX166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50742": {
+      "content": "[XXXXX698]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50743": {
+      "content": "[XXXXX1127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50744": {
+      "content": "[XXXXX1181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50745": {
+      "content": "[XXXXX763]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50746": {
+      "content": "[XXXXX627]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50747": {
+      "content": "[XXXXX250]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50748": {
+      "content": "[XXXXX757]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50749": {
+      "content": "[XXXXX142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50750": {
+      "content": "[XXXXX794]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50751": {
+      "content": "[XXXXX128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50752": {
+      "content": "[XXXXX35]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50753": {
+      "content": "[XXXXX482]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50754": {
+      "content": "[XXXXX834]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50755": {
+      "content": "[XXXXX679]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50756": {
+      "content": "[XXXXX839]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50757": {
+      "content": "[XXXXX138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50758": {
+      "content": "[XXXXX1066]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50759": {
+      "content": "[XXXXX116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50760": {
+      "content": "[XXXXX317]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50761": {
+      "content": "[XXXXX490]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50762": {
+      "content": "[XXXXX443]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50763": {
+      "content": "[XXXXX879]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50764": {
+      "content": "[XXXXX1101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50765": {
+      "content": "[XXXXX711]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50766": {
+      "content": "[XXXXX123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50767": {
+      "content": "[XXXXX1152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50768": {
+      "content": "[XXXXX692]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50769": {
+      "content": "[XXXXX555]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50770": {
+      "content": "[XXXXX266]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50771": {
+      "content": "[XXXXX0]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50772": {
+      "content": "[XXXXX332]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50773": {
+      "content": "[XXXXX497]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50774": {
+      "content": "[XXXXX904]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50775": {
+      "content": "[XXXXX1019]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50776": {
+      "content": "[XXXXX709]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50777": {
+      "content": "[XXXXX351]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50778": {
+      "content": "[XXXXX764]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50779": {
+      "content": "[XXXXX625]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50780": {
+      "content": "[XXXXX798]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50781": {
+      "content": "[XXXXX205]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50782": {
+      "content": "[XXXXX922]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50783": {
+      "content": "[XXXXX1075]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50784": {
+      "content": "[XXXXX8]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50785": {
+      "content": "[XXXXX422]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50786": {
+      "content": "[XXXXX638]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50787": {
+      "content": "[XXXXX98]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50788": {
+      "content": "[XXXXX814]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50789": {
+      "content": "[XXXXX1057]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50790": {
+      "content": "[XXXXX1070]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50791": {
+      "content": "[XXXXX411]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50792": {
+      "content": "[XXXXX768]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50793": {
+      "content": "[XXXXX1165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50794": {
+      "content": "[XXXXX888]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50795": {
+      "content": "[XXXXX636]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50796": {
+      "content": "[XXXXX1047]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50797": {
+      "content": "[XXXXX960]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50798": {
+      "content": "[XXXXX910]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50799": {
+      "content": "[XXXXX42]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50800": {
+      "content": "[XXXXX238]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50801": {
+      "content": "[XXXXX383]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50802": {
+      "content": "[XXXXX1032]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50803": {
+      "content": "[XXXXX577]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50804": {
+      "content": "[XXXXX268]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50805": {
+      "content": "[XXXXX179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50806": {
+      "content": "[XXXXX1076]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50807": {
+      "content": "[XXXXX1167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50808": {
+      "content": "[XXXXX1172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50809": {
+      "content": "[XXXXX665]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50810": {
+      "content": "[XXXXX126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50811": {
+      "content": "[XXXXX347]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50812": {
+      "content": "[XXXXX544]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50813": {
+      "content": "[XXXXX1026]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50814": {
+      "content": "[XXXXX159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50815": {
+      "content": "[XXXXX503]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50816": {
+      "content": "[XXXXX583]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50817": {
+      "content": "[XXXXX668]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50818": {
+      "content": "[XXXXX1115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50819": {
+      "content": "[XXXXX112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50820": {
+      "content": "[XXXXX154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50821": {
+      "content": "[XXXXX761]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50822": {
+      "content": "[XXXXX540]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50823": {
+      "content": "[XXXXX755]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50824": {
+      "content": "[XXXXX255]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50825": {
+      "content": "[XXXXX459]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50826": {
+      "content": "[XXXXX1090]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50827": {
+      "content": "[XXXXX689]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50828": {
+      "content": "[XXXXX589]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50829": {
+      "content": "[XXXXX122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50830": {
+      "content": "[XXXXX789]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50831": {
+      "content": "[XXXXX481]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50832": {
+      "content": "[XXXXX1044]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50833": {
+      "content": "[XXXXX274]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50834": {
+      "content": "[XXXXX957]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50835": {
+      "content": "[XXXXX1121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50836": {
+      "content": "[XXXXX464]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50837": {
+      "content": "[XXXXX495]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50838": {
+      "content": "[XXXXX1097]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50839": {
+      "content": "[XXXXX581]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50840": {
+      "content": "[XXXXX200]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50841": {
+      "content": "[XXXXX954]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50842": {
+      "content": "[XXXXX48]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50843": {
+      "content": "[XXXXX855]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50844": {
+      "content": "[XXXXX419]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50845": {
+      "content": "[XXXXX919]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50846": {
+      "content": "[XXXXX451]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50847": {
+      "content": "[XXXXX869]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50848": {
+      "content": "[XXXXX1082]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50849": {
+      "content": "[XXXXX1185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50850": {
+      "content": "[XXXXX859]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50851": {
+      "content": "[XXXXX1139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50852": {
+      "content": "[XXXXX1072]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50853": {
+      "content": "[XXXXX220]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50854": {
+      "content": "[XXXXX465]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50855": {
+      "content": "[XXXXX1105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50856": {
+      "content": "[XXXXX1093]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50857": {
+      "content": "[XXXXX953]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50858": {
+      "content": "[XXXXX1187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50859": {
+      "content": "[XXXXX311]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50860": {
+      "content": "[XXXXX403]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50861": {
+      "content": "[XXXXX684]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50862": {
+      "content": "[XXXXX426]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50863": {
+      "content": "[XXXXX68]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50864": {
+      "content": "[XXXXX277]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50865": {
+      "content": "[XXXXX437]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50866": {
+      "content": "[XXXXX896]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50867": {
+      "content": "[XXXXX899]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50868": {
+      "content": "[XXXXX878]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50869": {
+      "content": "[XXXXX1073]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50870": {
+      "content": "[XXXXX774]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50871": {
+      "content": "[XXXXX315]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50872": {
+      "content": "[XXXXX631]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50873": {
+      "content": "[XXXXX223]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50874": {
+      "content": "[XXXXX86]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50875": {
+      "content": "[XXXXX607]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50876": {
+      "content": "[XXXXX149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50877": {
+      "content": "[XXXXX566]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50878": {
+      "content": "[XXXXX740]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50879": {
+      "content": "[XXXXX265]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50880": {
+      "content": "[XXXXX399]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50881": {
+      "content": "[XXXXX1053]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50882": {
+      "content": "[XXXXX1077]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50883": {
+      "content": "[XXXXX336]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50884": {
+      "content": "[XXXXX734]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50885": {
+      "content": "[XXXXX289]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50886": {
+      "content": "[XXXXX221]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50887": {
+      "content": "[XXXXX580]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50888": {
+      "content": "[XXXXX406]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50889": {
+      "content": "[XXXXX854]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50890": {
+      "content": "[XXXXX673]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50891": {
+      "content": "[XXXXX1146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50892": {
+      "content": "[XXXXX29]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50893": {
+      "content": "[XXXXX496]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50894": {
+      "content": "[XXXXX241]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50895": {
+      "content": "[XXXXX929]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50896": {
+      "content": "[XXXXX169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50897": {
+      "content": "[XXXXX1153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50898": {
+      "content": "[XXXXX440]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50899": {
+      "content": "[XXXXX385]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50900": {
+      "content": "[XXXXX499]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50901": {
+      "content": "[XXXXX718]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50902": {
+      "content": "[XXXXX848]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50903": {
+      "content": "[XXXXX877]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50904": {
+      "content": "[XXXXX641]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50905": {
+      "content": "[XXXXX1137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50906": {
+      "content": "[XXXXX269]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50907": {
+      "content": "[XXXXX521]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50908": {
+      "content": "[XXXXX234]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50909": {
+      "content": "[XXXXX987]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50910": {
+      "content": "[XXXXX741]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50911": {
+      "content": "[XXXXX349]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50912": {
+      "content": "[XXXXX93]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50913": {
+      "content": "[XXXXX247]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50914": {
+      "content": "[XXXXX961]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50915": {
+      "content": "[XXXXX1120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50916": {
+      "content": "[XXXXX369]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50917": {
+      "content": "[XXXXX479]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50918": {
+      "content": "[XXXXX892]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50919": {
+      "content": "[XXXXX553]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50920": {
+      "content": "[XXXXX906]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50921": {
+      "content": "[XXXXX571]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50922": {
+      "content": "[XXXXX1046]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50923": {
+      "content": "[XXXXX206]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50924": {
+      "content": "[XXXXX488]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50925": {
+      "content": "[XXXXX445]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50926": {
+      "content": "[XXXXX524]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50927": {
+      "content": "[XXXXX228]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50928": {
+      "content": "[XXXXX998]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50929": {
+      "content": "[XXXXX675]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50930": {
+      "content": "[XXXXX732]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50931": {
+      "content": "[XXXXX1028]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50932": {
+      "content": "[XXXXX494]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50933": {
+      "content": "[XXXXX965]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50934": {
+      "content": "[XXXXX1021]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50935": {
+      "content": "[XXXXX726]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50936": {
+      "content": "[XXXXX168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50937": {
+      "content": "[XXXXX606]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50938": {
+      "content": "[XXXXX974]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50939": {
+      "content": "[XXXXX504]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50940": {
+      "content": "[XXXXX556]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50941": {
+      "content": "[XXXXX1159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50942": {
+      "content": "[XXXXX417]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50943": {
+      "content": "[XXXXX1175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50944": {
+      "content": "[XXXXX1142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50945": {
+      "content": "[XXXXX753]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50946": {
+      "content": "[XXXXX824]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50947": {
+      "content": "[XXXXX251]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50948": {
+      "content": "[XXXXX345]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50949": {
+      "content": "[XXXXX610]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50950": {
+      "content": "[XXXXX276]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50951": {
+      "content": "[XXXXX783]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50952": {
+      "content": "[XXXXX74]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50953": {
+      "content": "[XXXXX1050]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50954": {
+      "content": "[XXXXX71]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50955": {
+      "content": "[XXXXX360]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50956": {
+      "content": "[XXXXX512]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50957": {
+      "content": "[XXXXX341]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50958": {
+      "content": "[XXXXX375]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50959": {
+      "content": "[XXXXX637]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50960": {
+      "content": "[XXXXX1116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50961": {
+      "content": "[XXXXX9]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50962": {
+      "content": "[XXXXX738]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50963": {
+      "content": "[XXXXX856]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50964": {
+      "content": "[XXXXX979]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50965": {
+      "content": "[XXXXX825]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50966": {
+      "content": "[XXXXX852]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50967": {
+      "content": "[XXXXX215]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50968": {
+      "content": "[XXXXX91]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50969": {
+      "content": "[XXXXX257]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50970": {
+      "content": "[XXXXX325]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50971": {
+      "content": "[XXXXX368]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50972": {
+      "content": "[XXXXX1124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50973": {
+      "content": "[XXXXX188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50974": {
+      "content": "[XXXXX905]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50975": {
+      "content": "[XXXXX284]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50976": {
+      "content": "[XXXXX11]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50977": {
+      "content": "[XXXXX83]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50978": {
+      "content": "[XXXXX611]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50979": {
+      "content": "[XXXXX51]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50980": {
+      "content": "[XXXXX99]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50981": {
+      "content": "[XXXXX288]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50982": {
+      "content": "[XXXXX945]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50983": {
+      "content": "[XXXXX975]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50984": {
+      "content": "[XXXXX282]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50985": {
+      "content": "[XXXXX1068]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50986": {
+      "content": "[XXXXX1180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50987": {
+      "content": "[XXXXX574]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50988": {
+      "content": "[XXXXX305]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50989": {
+      "content": "[XXXXX565]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50990": {
+      "content": "[XXXXX865]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50991": {
+      "content": "[XXXXX1014]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50992": {
+      "content": "[XXXXX1138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50993": {
+      "content": "[XXXXX134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50994": {
+      "content": "[XXXXX321]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50995": {
+      "content": "[XXXXX752]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50996": {
+      "content": "[XXXXX108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50997": {
+      "content": "[XXXXX339]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50998": {
+      "content": "[XXXXX893]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50999": {
+      "content": "[XXXXX1177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51000": {
+      "content": "[XXXXX988]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51001": {
+      "content": "[XXXXX719]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51002": {
+      "content": "[XXXXX1059]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51003": {
+      "content": "[XXXXX421]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51004": {
+      "content": "[XXXXX670]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51005": {
+      "content": "[XXXXX949]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51006": {
+      "content": "[XXXXX14]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51007": {
+      "content": "[XXXXX1087]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51008": {
+      "content": "[XXXXX382]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51009": {
+      "content": "[XXXXX531]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51010": {
+      "content": "[XXXXX1079]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51011": {
+      "content": "[XXXXX1067]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51012": {
+      "content": "[XXXXX655]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51013": {
+      "content": "[XXXXX340]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51014": {
+      "content": "[XXXXX398]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51015": {
+      "content": "[XXXXX175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51016": {
+      "content": "[XXXXX232]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51017": {
+      "content": "[XXXXX244]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51018": {
+      "content": "[XXXXX568]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51019": {
+      "content": "[XXXXX1110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51020": {
+      "content": "[XXXXX191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51021": {
+      "content": "[XXXXX931]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51022": {
+      "content": "[XXXXX832]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51023": {
+      "content": "[XXXXX1030]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51024": {
+      "content": "[XXXXX144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51025": {
+      "content": "[XXXXX1102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51026": {
+      "content": "[XXXXX300]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51027": {
+      "content": "[XXXXX996]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51028": {
+      "content": "[XXXXX248]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51029": {
+      "content": "[XXXXX66]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51030": {
+      "content": "[XXXXX735]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51031": {
+      "content": "[XXXXX20]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51032": {
+      "content": "[XXXXX694]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51033": {
+      "content": "[XXXXX845]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51034": {
+      "content": "[XXXXX500]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51035": {
+      "content": "[XXXXX613]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51036": {
+      "content": "[XXXXX117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51037": {
+      "content": "[XXXXX886]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51038": {
+      "content": "[XXXXX261]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51039": {
+      "content": "[XXXXX567]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51040": {
+      "content": "[XXXXX541]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51041": {
+      "content": "[XXXXX529]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51042": {
+      "content": "[XXXXX699]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51043": {
+      "content": "[XXXXX715]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51044": {
+      "content": "[XXXXX1003]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51045": {
+      "content": "[XXXXX518]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51046": {
+      "content": "[XXXXX891]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51047": {
+      "content": "[XXXXX192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51048": {
+      "content": "[XXXXX53]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51049": {
+      "content": "[XXXXX428]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51050": {
+      "content": "[XXXXX183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51051": {
+      "content": "[XXXXX850]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51052": {
+      "content": "[XXXXX539]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51053": {
+      "content": "[XXXXX527]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51054": {
+      "content": "[XXXXX660]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51055": {
+      "content": "[XXXXX409]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51056": {
+      "content": "[XXXXX1122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51057": {
+      "content": "[XXXXX898]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51058": {
+      "content": "[XXXXX858]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51059": {
+      "content": "[XXXXX534]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51060": {
+      "content": "[XXXXX756]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51061": {
+      "content": "[XXXXX63]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51062": {
+      "content": "[XXXXX49]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51063": {
+      "content": "[XXXXX1106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51064": {
+      "content": "[XXXXX111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51065": {
+      "content": "[XXXXX955]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51066": {
+      "content": "[XXXXX309]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51067": {
+      "content": "[XXXXX538]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51068": {
+      "content": "[XXXXX823]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51069": {
+      "content": "[XXXXX867]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51070": {
+      "content": "[XXXXX587]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51071": {
+      "content": "[XXXXX243]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51072": {
+      "content": "[XXXXX677]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51073": {
+      "content": "[XXXXX1017]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51074": {
+      "content": "[XXXXX173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51075": {
+      "content": "[XXXXX682]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51076": {
+      "content": "[XXXXX1184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51077": {
+      "content": "[XXXXX1009]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51078": {
+      "content": "[XXXXX704]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51079": {
+      "content": "[XXXXX532]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51080": {
+      "content": "[XXXXX901]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51081": {
+      "content": "[XXXXX120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51082": {
+      "content": "[XXXXX388]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51083": {
+      "content": "[XXXXX405]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51084": {
+      "content": "[XXXXX788]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51085": {
+      "content": "[XXXXX728]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51086": {
+      "content": "[XXXXX425]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51087": {
+      "content": "[XXXXX883]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51088": {
+      "content": "[XXXXX837]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51089": {
+      "content": "[XXXXX350]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51090": {
+      "content": "[XXXXX716]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51091": {
+      "content": "[XXXXX579]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51092": {
+      "content": "[XXXXX909]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51093": {
+      "content": "[XXXXX884]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51094": {
+      "content": "[XXXXX1011]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51095": {
+      "content": "[XXXXX372]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51096": {
+      "content": "[XXXXX370]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51097": {
+      "content": "[XXXXX468]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51098": {
+      "content": "[XXXXX688]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51099": {
+      "content": "[XXXXX56]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51100": {
+      "content": "[XXXXX653]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51101": {
+      "content": "[XXXXX623]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51102": {
+      "content": "[XXXXX552]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51103": {
+      "content": "[XXXXX314]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51104": {
+      "content": "[XXXXX1018]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51105": {
+      "content": "[XXXXX1091]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51106": {
+      "content": "[XXXXX342]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51107": {
+      "content": "[XXXXX1065]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51108": {
+      "content": "[XXXXX1161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51109": {
+      "content": "[XXXXX959]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51110": {
+      "content": "[XXXXX1035]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51111": {
+      "content": "[XXXXX530]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51112": {
+      "content": "[XXXXX69]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51113": {
+      "content": "[XXXXX489]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51114": {
+      "content": "[XXXXX1]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51115": {
+      "content": "[XXXXX207]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51116": {
+      "content": "[XXXXX433]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51117": {
+      "content": "[XXXXX358]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51118": {
+      "content": "[XXXXX601]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51119": {
+      "content": "[XXXXX2]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51120": {
+      "content": "[XXXXX722]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51121": {
+      "content": "[XXXXX985]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51122": {
+      "content": "[XXXXX908]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51123": {
+      "content": "[XXXXX1024]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51124": {
+      "content": "[XXXXX1111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51125": {
+      "content": "[XXXXX1113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51126": {
+      "content": "[XXXXX678]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51127": {
+      "content": "[XXXXX19]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51128": {
+      "content": "[XXXXX1186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51129": {
+      "content": "[XXXXX808]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51130": {
+      "content": "[XXXXX493]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51131": {
+      "content": "[XXXXX1155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51132": {
+      "content": "[XXXXX217]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51133": {
+      "content": "[XXXXX616]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51134": {
+      "content": "[XXXXX835]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51135": {
+      "content": "[XXXXX994]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51136": {
+      "content": "[XXXXX484]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51137": {
+      "content": "[XXXXX362]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51138": {
+      "content": "[XXXXX582]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51139": {
+      "content": "[XXXXX1034]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51140": {
+      "content": "[XXXXX772]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51141": {
+      "content": "[XXXXX457]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51142": {
+      "content": "[XXXXX604]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51143": {
+      "content": "[XXXXX456]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51144": {
+      "content": "[XXXXX145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51145": {
+      "content": "[XXXXX476]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51146": {
+      "content": "[XXXXX218]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51147": {
+      "content": "[XXXXX199]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51148": {
+      "content": "[XXXXX364]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51149": {
+      "content": "[XXXXX302]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51150": {
+      "content": "[XXXXX881]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51151": {
+      "content": "[XXXXX1088]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51152": {
+      "content": "[XXXXX356]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51153": {
+      "content": "[XXXXX936]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51154": {
+      "content": "[XXXXX978]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51155": {
+      "content": "[XXXXX895]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51156": {
+      "content": "[XXXXX993]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51157": {
+      "content": "[XXXXX458]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51158": {
+      "content": "[XXXXX1002]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51159": {
+      "content": "[XXXXX1022]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51160": {
+      "content": "[XXXXX25]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51161": {
+      "content": "[XXXXX766]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51162": {
+      "content": "[XXXXX64]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51163": {
+      "content": "[XXXXX211]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51164": {
+      "content": "[XXXXX82]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51165": {
+      "content": "[XXXXX634]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51166": {
+      "content": "[XXXXX661]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51167": {
+      "content": "[XXXXX748]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51168": {
+      "content": "[XXXXX778]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51169": {
+      "content": "[XXXXX24]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51170": {
+      "content": "[XXXXX448]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51171": {
+      "content": "[XXXXX887]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51172": {
+      "content": "[XXXXX890]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51173": {
+      "content": "[XXXXX754]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51174": {
+      "content": "[XXXXX343]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51175": {
+      "content": "[XXXXX1069]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51176": {
+      "content": "[XXXXX294]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51177": {
+      "content": "[XXXXX295]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51178": {
+      "content": "[XXXXX197]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51179": {
+      "content": "[XXXXX210]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51180": {
+      "content": "[XXXXX630]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51181": {
+      "content": "[XXXXX707]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51182": {
+      "content": "[XXXXX864]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51183": {
+      "content": "[XXXXX391]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51184": {
+      "content": "[XXXXX338]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51185": {
+      "content": "[XXXXX800]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51186": {
+      "content": "[XXXXX841]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51187": {
+      "content": "[XXXXX967]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51188": {
+      "content": "[XXXXX793]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51189": {
+      "content": "[XXXXX916]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51190": {
+      "content": "[XXXXX603]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51191": {
+      "content": "[XXXXX270]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51192": {
+      "content": "[XXXXX105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51193": {
+      "content": "[XXXXX1016]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51194": {
+      "content": "[XXXXX804]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51195": {
+      "content": "[XXXXX264]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51196": {
+      "content": "[XXXXX155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51197": {
+      "content": "[XXXXX1190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51198": {
+      "content": "[XXXXX813]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51199": {
+      "content": "[XXXXX546]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "keep_accents": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}
diff --git a/checkpoint-2500/trainer_state.json b/checkpoint-2500/trainer_state.json
new file mode 100644
index 0000000..7a366ed
--- /dev/null
+++ b/checkpoint-2500/trainer_state.json
@@ -0,0 +1,5089 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.071251035625518,
+  "eval_steps": 500,
+  "global_step": 2500,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "entropy": 7.218191003799438,
+      "epoch": 0.004142502071251036,
+      "grad_norm": 1.265625,
+      "learning_rate": 2e-06,
+      "loss": 6.8898,
+      "mean_token_accuracy": 0.08805170804262161,
+      "num_tokens": 9149.0,
+      "step": 5
+    },
+    {
+      "entropy": 7.191673707962036,
+      "epoch": 0.008285004142502071,
+      "grad_norm": 1.5078125,
+      "learning_rate": 4.5e-06,
+      "loss": 6.7268,
+      "mean_token_accuracy": 0.09304728880524635,
+      "num_tokens": 16800.0,
+      "step": 10
+    },
+    {
+      "entropy": 7.134524202346801,
+      "epoch": 0.012427506213753107,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7e-06,
+      "loss": 6.8905,
+      "mean_token_accuracy": 0.0921505056321621,
+      "num_tokens": 26617.0,
+      "step": 15
+    },
+    {
+      "entropy": 7.115550088882446,
+      "epoch": 0.016570008285004142,
+      "grad_norm": 1.25,
+      "learning_rate": 9.5e-06,
+      "loss": 6.8021,
+      "mean_token_accuracy": 0.09268744736909866,
+      "num_tokens": 35855.0,
+      "step": 20
+    },
+    {
+      "entropy": 7.12396879196167,
+      "epoch": 0.020712510356255178,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.2e-05,
+      "loss": 7.0094,
+      "mean_token_accuracy": 0.08752714470028877,
+      "num_tokens": 45644.0,
+      "step": 25
+    },
+    {
+      "entropy": 7.054446792602539,
+      "epoch": 0.024855012427506214,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.4500000000000002e-05,
+      "loss": 6.8922,
+      "mean_token_accuracy": 0.09398627206683159,
+      "num_tokens": 54641.0,
+      "step": 30
+    },
+    {
+      "entropy": 7.012255907058716,
+      "epoch": 0.02899751449875725,
+      "grad_norm": 1.0234375,
+      "learning_rate": 1.7000000000000003e-05,
+      "loss": 6.7519,
+      "mean_token_accuracy": 0.08958807587623596,
+      "num_tokens": 63924.0,
+      "step": 35
+    },
+    {
+      "entropy": 7.068031549453735,
+      "epoch": 0.033140016570008285,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.95e-05,
+      "loss": 6.89,
+      "mean_token_accuracy": 0.09437783882021904,
+      "num_tokens": 73452.0,
+      "step": 40
+    },
+    {
+      "entropy": 7.06072301864624,
+      "epoch": 0.037282518641259324,
+      "grad_norm": 1.0234375,
+      "learning_rate": 2.2e-05,
+      "loss": 6.9455,
+      "mean_token_accuracy": 0.0851291574537754,
+      "num_tokens": 82731.0,
+      "step": 45
+    },
+    {
+      "entropy": 7.090083169937134,
+      "epoch": 0.041425020712510356,
+      "grad_norm": 1.1015625,
+      "learning_rate": 2.4500000000000003e-05,
+      "loss": 6.7734,
+      "mean_token_accuracy": 0.09048294499516488,
+      "num_tokens": 92626.0,
+      "step": 50
+    },
+    {
+      "entropy": 7.149203157424926,
+      "epoch": 0.045567522783761395,
+      "grad_norm": 1.21875,
+      "learning_rate": 2.7e-05,
+      "loss": 6.9497,
+      "mean_token_accuracy": 0.08217904865741729,
+      "num_tokens": 101380.0,
+      "step": 55
+    },
+    {
+      "entropy": 7.119951963424683,
+      "epoch": 0.04971002485501243,
+      "grad_norm": 1.046875,
+      "learning_rate": 2.95e-05,
+      "loss": 6.8604,
+      "mean_token_accuracy": 0.09202293381094932,
+      "num_tokens": 109895.0,
+      "step": 60
+    },
+    {
+      "entropy": 7.2014998435974125,
+      "epoch": 0.053852526926263466,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.2e-05,
+      "loss": 6.8449,
+      "mean_token_accuracy": 0.09257669150829315,
+      "num_tokens": 119203.0,
+      "step": 65
+    },
+    {
+      "entropy": 7.1111664295196535,
+      "epoch": 0.0579950289975145,
+      "grad_norm": 1.1484375,
+      "learning_rate": 3.4500000000000005e-05,
+      "loss": 6.7903,
+      "mean_token_accuracy": 0.09657297283411026,
+      "num_tokens": 127572.0,
+      "step": 70
+    },
+    {
+      "entropy": 7.04930944442749,
+      "epoch": 0.06213753106876554,
+      "grad_norm": 1.03125,
+      "learning_rate": 3.7e-05,
+      "loss": 6.8304,
+      "mean_token_accuracy": 0.09063600301742554,
+      "num_tokens": 137161.0,
+      "step": 75
+    },
+    {
+      "entropy": 7.044711875915527,
+      "epoch": 0.06628003314001657,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.95e-05,
+      "loss": 6.9451,
+      "mean_token_accuracy": 0.08874713778495788,
+      "num_tokens": 145991.0,
+      "step": 80
+    },
+    {
+      "entropy": 7.130092525482178,
+      "epoch": 0.07042253521126761,
+      "grad_norm": 1.0546875,
+      "learning_rate": 4.2000000000000004e-05,
+      "loss": 6.8464,
+      "mean_token_accuracy": 0.08955071866512299,
+      "num_tokens": 154927.0,
+      "step": 85
+    },
+    {
+      "entropy": 7.090402746200562,
+      "epoch": 0.07456503728251865,
+      "grad_norm": 1.34375,
+      "learning_rate": 4.45e-05,
+      "loss": 6.7595,
+      "mean_token_accuracy": 0.09832768961787224,
+      "num_tokens": 163234.0,
+      "step": 90
+    },
+    {
+      "entropy": 7.08957576751709,
+      "epoch": 0.07870753935376967,
+      "grad_norm": 1.015625,
+      "learning_rate": 4.7000000000000004e-05,
+      "loss": 6.7163,
+      "mean_token_accuracy": 0.09379880875349045,
+      "num_tokens": 171554.0,
+      "step": 95
+    },
+    {
+      "entropy": 7.044517278671265,
+      "epoch": 0.08285004142502071,
+      "grad_norm": 1.1328125,
+      "learning_rate": 4.9500000000000004e-05,
+      "loss": 6.8173,
+      "mean_token_accuracy": 0.0955286517739296,
+      "num_tokens": 180171.0,
+      "step": 100
+    },
+    {
+      "entropy": 7.050950908660889,
+      "epoch": 0.08699254349627175,
+      "grad_norm": 1.0859375,
+      "learning_rate": 5.2e-05,
+      "loss": 6.761,
+      "mean_token_accuracy": 0.09741089940071106,
+      "num_tokens": 189216.0,
+      "step": 105
+    },
+    {
+      "entropy": 7.173562717437744,
+      "epoch": 0.09113504556752279,
+      "grad_norm": 1.015625,
+      "learning_rate": 5.45e-05,
+      "loss": 6.9519,
+      "mean_token_accuracy": 0.08675800338387489,
+      "num_tokens": 200022.0,
+      "step": 110
+    },
+    {
+      "entropy": 7.183744478225708,
+      "epoch": 0.09527754763877382,
+      "grad_norm": 1.2265625,
+      "learning_rate": 5.7e-05,
+      "loss": 6.8642,
+      "mean_token_accuracy": 0.09210581332445145,
+      "num_tokens": 208686.0,
+      "step": 115
+    },
+    {
+      "entropy": 7.121539115905762,
+      "epoch": 0.09942004971002485,
+      "grad_norm": 1.1875,
+      "learning_rate": 5.9499999999999996e-05,
+      "loss": 6.8829,
+      "mean_token_accuracy": 0.09462191313505172,
+      "num_tokens": 218266.0,
+      "step": 120
+    },
+    {
+      "entropy": 7.006736946105957,
+      "epoch": 0.1035625517812759,
+      "grad_norm": 1.046875,
+      "learning_rate": 6.2e-05,
+      "loss": 6.7523,
+      "mean_token_accuracy": 0.08771666437387467,
+      "num_tokens": 227658.0,
+      "step": 125
+    },
+    {
+      "entropy": 7.040027761459351,
+      "epoch": 0.10770505385252693,
+      "grad_norm": 1.1015625,
+      "learning_rate": 6.450000000000001e-05,
+      "loss": 6.7014,
+      "mean_token_accuracy": 0.1004502885043621,
+      "num_tokens": 236301.0,
+      "step": 130
+    },
+    {
+      "entropy": 7.106470441818237,
+      "epoch": 0.11184755592377796,
+      "grad_norm": 1.1171875,
+      "learning_rate": 6.7e-05,
+      "loss": 6.8424,
+      "mean_token_accuracy": 0.08812138065695763,
+      "num_tokens": 246355.0,
+      "step": 135
+    },
+    {
+      "entropy": 7.174679756164551,
+      "epoch": 0.115990057995029,
+      "grad_norm": 1.15625,
+      "learning_rate": 6.950000000000001e-05,
+      "loss": 6.8174,
+      "mean_token_accuracy": 0.0924198254942894,
+      "num_tokens": 256023.0,
+      "step": 140
+    },
+    {
+      "entropy": 7.10174069404602,
+      "epoch": 0.12013256006628004,
+      "grad_norm": 0.9921875,
+      "learning_rate": 7.2e-05,
+      "loss": 6.9036,
+      "mean_token_accuracy": 0.08638993799686431,
+      "num_tokens": 266893.0,
+      "step": 145
+    },
+    {
+      "entropy": 7.019921684265137,
+      "epoch": 0.12427506213753108,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7.45e-05,
+      "loss": 6.6606,
+      "mean_token_accuracy": 0.08872481286525727,
+      "num_tokens": 276075.0,
+      "step": 150
+    },
+    {
+      "entropy": 7.042754888534546,
+      "epoch": 0.12841756420878211,
+      "grad_norm": 1.25,
+      "learning_rate": 7.7e-05,
+      "loss": 6.7532,
+      "mean_token_accuracy": 0.09296932220458984,
+      "num_tokens": 285529.0,
+      "step": 155
+    },
+    {
+      "entropy": 7.064399909973145,
+      "epoch": 0.13256006628003314,
+      "grad_norm": 1.15625,
+      "learning_rate": 7.950000000000001e-05,
+      "loss": 6.762,
+      "mean_token_accuracy": 0.09406789913773536,
+      "num_tokens": 294403.0,
+      "step": 160
+    },
+    {
+      "entropy": 7.152362823486328,
+      "epoch": 0.13670256835128416,
+      "grad_norm": 1.28125,
+      "learning_rate": 8.2e-05,
+      "loss": 6.8553,
+      "mean_token_accuracy": 0.09358441680669785,
+      "num_tokens": 303507.0,
+      "step": 165
+    },
+    {
+      "entropy": 7.071487474441528,
+      "epoch": 0.14084507042253522,
+      "grad_norm": 1.21875,
+      "learning_rate": 8.450000000000001e-05,
+      "loss": 6.7534,
+      "mean_token_accuracy": 0.09645206108689308,
+      "num_tokens": 312393.0,
+      "step": 170
+    },
+    {
+      "entropy": 6.956210470199585,
+      "epoch": 0.14498757249378624,
+      "grad_norm": 1.0859375,
+      "learning_rate": 8.7e-05,
+      "loss": 6.7226,
+      "mean_token_accuracy": 0.09953253641724587,
+      "num_tokens": 321309.0,
+      "step": 175
+    },
+    {
+      "entropy": 7.2200812816619875,
+      "epoch": 0.1491300745650373,
+      "grad_norm": 1.1328125,
+      "learning_rate": 8.95e-05,
+      "loss": 6.7879,
+      "mean_token_accuracy": 0.09582221284508705,
+      "num_tokens": 330217.0,
+      "step": 180
+    },
+    {
+      "entropy": 6.964824962615967,
+      "epoch": 0.15327257663628832,
+      "grad_norm": 1.2109375,
+      "learning_rate": 9.2e-05,
+      "loss": 6.8296,
+      "mean_token_accuracy": 0.09584516286849976,
+      "num_tokens": 339587.0,
+      "step": 185
+    },
+    {
+      "entropy": 7.104565525054932,
+      "epoch": 0.15741507870753935,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.45e-05,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.09563353508710862,
+      "num_tokens": 349367.0,
+      "step": 190
+    },
+    {
+      "entropy": 6.90956711769104,
+      "epoch": 0.1615575807787904,
+      "grad_norm": 1.1953125,
+      "learning_rate": 9.7e-05,
+      "loss": 6.6535,
+      "mean_token_accuracy": 0.09533214569091797,
+      "num_tokens": 358272.0,
+      "step": 195
+    },
+    {
+      "entropy": 7.184430170059204,
+      "epoch": 0.16570008285004142,
+      "grad_norm": 1.1875,
+      "learning_rate": 9.95e-05,
+      "loss": 6.8847,
+      "mean_token_accuracy": 0.09342379868030548,
+      "num_tokens": 367709.0,
+      "step": 200
+    },
+    {
+      "entropy": 7.108258152008057,
+      "epoch": 0.16984258492129245,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000102,
+      "loss": 6.7363,
+      "mean_token_accuracy": 0.09321728497743606,
+      "num_tokens": 376180.0,
+      "step": 205
+    },
+    {
+      "entropy": 7.143853282928466,
+      "epoch": 0.1739850869925435,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00010449999999999999,
+      "loss": 6.8927,
+      "mean_token_accuracy": 0.08639989122748375,
+      "num_tokens": 385636.0,
+      "step": 210
+    },
+    {
+      "entropy": 7.005528688430786,
+      "epoch": 0.17812758906379453,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000107,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.10387283116579056,
+      "num_tokens": 394486.0,
+      "step": 215
+    },
+    {
+      "entropy": 7.066776275634766,
+      "epoch": 0.18227009113504558,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0001095,
+      "loss": 6.7286,
+      "mean_token_accuracy": 0.09739693626761436,
+      "num_tokens": 403765.0,
+      "step": 220
+    },
+    {
+      "entropy": 6.9391695022583,
+      "epoch": 0.1864125932062966,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000112,
+      "loss": 6.7198,
+      "mean_token_accuracy": 0.09883175939321517,
+      "num_tokens": 412988.0,
+      "step": 225
+    },
+    {
+      "entropy": 7.029045248031617,
+      "epoch": 0.19055509527754763,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0001145,
+      "loss": 6.6219,
+      "mean_token_accuracy": 0.09850638806819915,
+      "num_tokens": 422096.0,
+      "step": 230
+    },
+    {
+      "entropy": 7.055552911758423,
+      "epoch": 0.19469759734879868,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011700000000000001,
+      "loss": 6.7907,
+      "mean_token_accuracy": 0.08912368193268776,
+      "num_tokens": 431333.0,
+      "step": 235
+    },
+    {
+      "entropy": 7.076433277130127,
+      "epoch": 0.1988400994200497,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00011949999999999999,
+      "loss": 6.825,
+      "mean_token_accuracy": 0.0998022735118866,
+      "num_tokens": 440382.0,
+      "step": 240
+    },
+    {
+      "entropy": 7.098494958877564,
+      "epoch": 0.20298260149130073,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000122,
+      "loss": 6.7184,
+      "mean_token_accuracy": 0.1035430908203125,
+      "num_tokens": 448469.0,
+      "step": 245
+    },
+    {
+      "entropy": 7.065437746047974,
+      "epoch": 0.2071251035625518,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001245,
+      "loss": 6.7562,
+      "mean_token_accuracy": 0.0973759837448597,
+      "num_tokens": 457356.0,
+      "step": 250
+    },
+    {
+      "entropy": 7.103154182434082,
+      "epoch": 0.2112676056338028,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000127,
+      "loss": 6.7821,
+      "mean_token_accuracy": 0.09721289053559304,
+      "num_tokens": 465928.0,
+      "step": 255
+    },
+    {
+      "entropy": 6.99681601524353,
+      "epoch": 0.21541010770505387,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0001295,
+      "loss": 6.6931,
+      "mean_token_accuracy": 0.09931288808584213,
+      "num_tokens": 475269.0,
+      "step": 260
+    },
+    {
+      "entropy": 6.960800266265869,
+      "epoch": 0.2195526097763049,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000132,
+      "loss": 6.679,
+      "mean_token_accuracy": 0.09512786641716957,
+      "num_tokens": 485450.0,
+      "step": 265
+    },
+    {
+      "entropy": 7.0514568328857425,
+      "epoch": 0.22369511184755592,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00013450000000000002,
+      "loss": 6.7347,
+      "mean_token_accuracy": 0.10228226557374001,
+      "num_tokens": 494029.0,
+      "step": 270
+    },
+    {
+      "entropy": 6.9516912460327145,
+      "epoch": 0.22783761391880697,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013700000000000002,
+      "loss": 6.676,
+      "mean_token_accuracy": 0.10202871784567832,
+      "num_tokens": 503253.0,
+      "step": 275
+    },
+    {
+      "entropy": 7.018160057067871,
+      "epoch": 0.231980115990058,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0001395,
+      "loss": 6.6685,
+      "mean_token_accuracy": 0.09529435187578202,
+      "num_tokens": 512857.0,
+      "step": 280
+    },
+    {
+      "entropy": 6.9714985370635985,
+      "epoch": 0.23612261806130902,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00014199999999999998,
+      "loss": 6.7719,
+      "mean_token_accuracy": 0.09288227260112762,
+      "num_tokens": 522319.0,
+      "step": 285
+    },
+    {
+      "entropy": 7.113205528259277,
+      "epoch": 0.24026512013256007,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0001445,
+      "loss": 6.7224,
+      "mean_token_accuracy": 0.09471780881285667,
+      "num_tokens": 531469.0,
+      "step": 290
+    },
+    {
+      "entropy": 6.976934480667114,
+      "epoch": 0.2444076222038111,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000147,
+      "loss": 6.756,
+      "mean_token_accuracy": 0.09480062946677208,
+      "num_tokens": 540470.0,
+      "step": 295
+    },
+    {
+      "entropy": 7.011937475204467,
+      "epoch": 0.24855012427506215,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0001495,
+      "loss": 6.7584,
+      "mean_token_accuracy": 0.09700122326612473,
+      "num_tokens": 550317.0,
+      "step": 300
+    },
+    {
+      "entropy": 7.0365160465240475,
+      "epoch": 0.2526926263463132,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000152,
+      "loss": 6.7067,
+      "mean_token_accuracy": 0.09434132501482964,
+      "num_tokens": 559409.0,
+      "step": 305
+    },
+    {
+      "entropy": 6.928857326507568,
+      "epoch": 0.25683512841756423,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00015450000000000001,
+      "loss": 6.768,
+      "mean_token_accuracy": 0.10764710158109665,
+      "num_tokens": 568726.0,
+      "step": 310
+    },
+    {
+      "entropy": 7.103991413116455,
+      "epoch": 0.2609776304888152,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000157,
+      "loss": 6.7179,
+      "mean_token_accuracy": 0.0976541943848133,
+      "num_tokens": 577926.0,
+      "step": 315
+    },
+    {
+      "entropy": 7.047203779220581,
+      "epoch": 0.2651201325600663,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001595,
+      "loss": 6.7448,
+      "mean_token_accuracy": 0.09809661954641342,
+      "num_tokens": 586695.0,
+      "step": 320
+    },
+    {
+      "entropy": 7.039609956741333,
+      "epoch": 0.26926263463131733,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000162,
+      "loss": 6.771,
+      "mean_token_accuracy": 0.0949723981320858,
+      "num_tokens": 596250.0,
+      "step": 325
+    },
+    {
+      "entropy": 7.063632202148438,
+      "epoch": 0.27340513670256833,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00016450000000000001,
+      "loss": 6.8221,
+      "mean_token_accuracy": 0.09051206335425377,
+      "num_tokens": 605761.0,
+      "step": 330
+    },
+    {
+      "entropy": 7.019326877593994,
+      "epoch": 0.2775476387738194,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00016700000000000002,
+      "loss": 6.7365,
+      "mean_token_accuracy": 0.09872144013643265,
+      "num_tokens": 614313.0,
+      "step": 335
+    },
+    {
+      "entropy": 7.037422132492066,
+      "epoch": 0.28169014084507044,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00016950000000000003,
+      "loss": 6.7692,
+      "mean_token_accuracy": 0.09455474764108658,
+      "num_tokens": 624470.0,
+      "step": 340
+    },
+    {
+      "entropy": 7.039082098007202,
+      "epoch": 0.28583264291632143,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00017199999999999998,
+      "loss": 6.6843,
+      "mean_token_accuracy": 0.09269843101501465,
+      "num_tokens": 633458.0,
+      "step": 345
+    },
+    {
+      "entropy": 6.942268037796021,
+      "epoch": 0.2899751449875725,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00017449999999999999,
+      "loss": 6.6939,
+      "mean_token_accuracy": 0.09877684414386749,
+      "num_tokens": 643251.0,
+      "step": 350
+    },
+    {
+      "entropy": 6.99584732055664,
+      "epoch": 0.29411764705882354,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000177,
+      "loss": 6.7635,
+      "mean_token_accuracy": 0.09713540598750114,
+      "num_tokens": 652005.0,
+      "step": 355
+    },
+    {
+      "entropy": 7.006586170196533,
+      "epoch": 0.2982601491300746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0001795,
+      "loss": 6.6575,
+      "mean_token_accuracy": 0.10120807588100433,
+      "num_tokens": 661003.0,
+      "step": 360
+    },
+    {
+      "entropy": 6.874996137619019,
+      "epoch": 0.3024026512013256,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000182,
+      "loss": 6.6294,
+      "mean_token_accuracy": 0.09844254851341247,
+      "num_tokens": 670221.0,
+      "step": 365
+    },
+    {
+      "entropy": 7.155635738372803,
+      "epoch": 0.30654515327257664,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001845,
+      "loss": 6.9236,
+      "mean_token_accuracy": 0.0882349319756031,
+      "num_tokens": 680756.0,
+      "step": 370
+    },
+    {
+      "entropy": 6.94540753364563,
+      "epoch": 0.3106876553438277,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000187,
+      "loss": 6.6157,
+      "mean_token_accuracy": 0.10289054960012436,
+      "num_tokens": 689641.0,
+      "step": 375
+    },
+    {
+      "entropy": 6.87992377281189,
+      "epoch": 0.3148301574150787,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001895,
+      "loss": 6.5696,
+      "mean_token_accuracy": 0.09839320331811904,
+      "num_tokens": 698209.0,
+      "step": 380
+    },
+    {
+      "entropy": 6.823869276046753,
+      "epoch": 0.31897265948632975,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000192,
+      "loss": 6.5736,
+      "mean_token_accuracy": 0.10355777889490128,
+      "num_tokens": 706712.0,
+      "step": 385
+    },
+    {
+      "entropy": 7.037634468078613,
+      "epoch": 0.3231151615575808,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0001945,
+      "loss": 6.8017,
+      "mean_token_accuracy": 0.09728012606501579,
+      "num_tokens": 716087.0,
+      "step": 390
+    },
+    {
+      "entropy": 6.911249494552612,
+      "epoch": 0.3272576636288318,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00019700000000000002,
+      "loss": 6.6465,
+      "mean_token_accuracy": 0.09347675815224647,
+      "num_tokens": 725913.0,
+      "step": 395
+    },
+    {
+      "entropy": 6.944440317153931,
+      "epoch": 0.33140016570008285,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019950000000000002,
+      "loss": 6.7201,
+      "mean_token_accuracy": 0.10362306237220764,
+      "num_tokens": 735020.0,
+      "step": 400
+    },
+    {
+      "entropy": 6.985636854171753,
+      "epoch": 0.3355426677713339,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000202,
+      "loss": 6.6216,
+      "mean_token_accuracy": 0.09469136893749237,
+      "num_tokens": 744299.0,
+      "step": 405
+    },
+    {
+      "entropy": 6.883630275726318,
+      "epoch": 0.3396851698425849,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00020449999999999998,
+      "loss": 6.6099,
+      "mean_token_accuracy": 0.09694516137242318,
+      "num_tokens": 753231.0,
+      "step": 410
+    },
+    {
+      "entropy": 6.825357389450073,
+      "epoch": 0.34382767191383595,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000207,
+      "loss": 6.6717,
+      "mean_token_accuracy": 0.10230854973196983,
+      "num_tokens": 763043.0,
+      "step": 415
+    },
+    {
+      "entropy": 7.016851997375488,
+      "epoch": 0.347970173985087,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0002095,
+      "loss": 6.6905,
+      "mean_token_accuracy": 0.09913048222661018,
+      "num_tokens": 771977.0,
+      "step": 420
+    },
+    {
+      "entropy": 6.820244407653808,
+      "epoch": 0.352112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000212,
+      "loss": 6.6243,
+      "mean_token_accuracy": 0.1011092983186245,
+      "num_tokens": 780285.0,
+      "step": 425
+    },
+    {
+      "entropy": 6.956075525283813,
+      "epoch": 0.35625517812758906,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002145,
+      "loss": 6.6593,
+      "mean_token_accuracy": 0.09649045094847679,
+      "num_tokens": 789980.0,
+      "step": 430
+    },
+    {
+      "entropy": 6.984846019744873,
+      "epoch": 0.3603976801988401,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021700000000000002,
+      "loss": 6.6275,
+      "mean_token_accuracy": 0.10474459528923034,
+      "num_tokens": 798700.0,
+      "step": 435
+    },
+    {
+      "entropy": 6.767291498184204,
+      "epoch": 0.36454018227009116,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002195,
+      "loss": 6.7208,
+      "mean_token_accuracy": 0.09600067660212516,
+      "num_tokens": 808758.0,
+      "step": 440
+    },
+    {
+      "entropy": 7.046369791030884,
+      "epoch": 0.36868268434134216,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000222,
+      "loss": 6.6666,
+      "mean_token_accuracy": 0.10458802133798599,
+      "num_tokens": 817692.0,
+      "step": 445
+    },
+    {
+      "entropy": 6.95425066947937,
+      "epoch": 0.3728251864125932,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002245,
+      "loss": 6.7146,
+      "mean_token_accuracy": 0.10474570766091347,
+      "num_tokens": 827052.0,
+      "step": 450
+    },
+    {
+      "entropy": 6.895345544815063,
+      "epoch": 0.37696768848384427,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00022700000000000002,
+      "loss": 6.7139,
+      "mean_token_accuracy": 0.1091882586479187,
+      "num_tokens": 836442.0,
+      "step": 455
+    },
+    {
+      "entropy": 6.922871923446655,
+      "epoch": 0.38111019055509526,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00022950000000000002,
+      "loss": 6.5775,
+      "mean_token_accuracy": 0.10118989571928978,
+      "num_tokens": 846441.0,
+      "step": 460
+    },
+    {
+      "entropy": 6.8815388679504395,
+      "epoch": 0.3852526926263463,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00023200000000000003,
+      "loss": 6.6215,
+      "mean_token_accuracy": 0.10475475937128068,
+      "num_tokens": 856108.0,
+      "step": 465
+    },
+    {
+      "entropy": 6.848587274551392,
+      "epoch": 0.38939519469759737,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00023449999999999998,
+      "loss": 6.5833,
+      "mean_token_accuracy": 0.10137399956583977,
+      "num_tokens": 865788.0,
+      "step": 470
+    },
+    {
+      "entropy": 6.886804008483887,
+      "epoch": 0.39353769676884837,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000237,
+      "loss": 6.6302,
+      "mean_token_accuracy": 0.09514767676591873,
+      "num_tokens": 874833.0,
+      "step": 475
+    },
+    {
+      "entropy": 6.751422643661499,
+      "epoch": 0.3976801988400994,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002395,
+      "loss": 6.5997,
+      "mean_token_accuracy": 0.10276172533631325,
+      "num_tokens": 883685.0,
+      "step": 480
+    },
+    {
+      "entropy": 6.881311464309692,
+      "epoch": 0.40182270091135047,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000242,
+      "loss": 6.6001,
+      "mean_token_accuracy": 0.09796027019619942,
+      "num_tokens": 893908.0,
+      "step": 485
+    },
+    {
+      "entropy": 6.934821891784668,
+      "epoch": 0.40596520298260147,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002445,
+      "loss": 6.7142,
+      "mean_token_accuracy": 0.09827135354280472,
+      "num_tokens": 903081.0,
+      "step": 490
+    },
+    {
+      "entropy": 6.7868632793426515,
+      "epoch": 0.4101077050538525,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000247,
+      "loss": 6.5522,
+      "mean_token_accuracy": 0.10336750745773315,
+      "num_tokens": 912515.0,
+      "step": 495
+    },
+    {
+      "entropy": 6.886235475540161,
+      "epoch": 0.4142502071251036,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002495,
+      "loss": 6.5797,
+      "mean_token_accuracy": 0.1070313923060894,
+      "num_tokens": 921056.0,
+      "step": 500
+    },
+    {
+      "epoch": 0.4142502071251036,
+      "eval_entropy": 6.836038604728194,
+      "eval_loss": 6.684774875640869,
+      "eval_mean_token_accuracy": 0.10272799217021034,
+      "eval_num_tokens": 921056.0,
+      "eval_runtime": 2.7891,
+      "eval_samples_per_second": 1343.421,
+      "eval_steps_per_second": 168.152,
+      "step": 500
+    },
+    {
+      "entropy": 6.7657403469085695,
+      "epoch": 0.4183927091963546,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000252,
+      "loss": 6.5317,
+      "mean_token_accuracy": 0.10417452603578567,
+      "num_tokens": 931112.0,
+      "step": 505
+    },
+    {
+      "entropy": 6.821895503997803,
+      "epoch": 0.4225352112676056,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0002545,
+      "loss": 6.6605,
+      "mean_token_accuracy": 0.0978618748486042,
+      "num_tokens": 941120.0,
+      "step": 510
+    },
+    {
+      "entropy": 6.886211729049682,
+      "epoch": 0.4266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000257,
+      "loss": 6.6044,
+      "mean_token_accuracy": 0.09737976416945457,
+      "num_tokens": 950041.0,
+      "step": 515
+    },
+    {
+      "entropy": 6.879851579666138,
+      "epoch": 0.43082021541010773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002595,
+      "loss": 6.5907,
+      "mean_token_accuracy": 0.10606569275259972,
+      "num_tokens": 958608.0,
+      "step": 520
+    },
+    {
+      "entropy": 6.886484861373901,
+      "epoch": 0.43496271748135873,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.000262,
+      "loss": 6.7158,
+      "mean_token_accuracy": 0.09990910813212395,
+      "num_tokens": 966901.0,
+      "step": 525
+    },
+    {
+      "entropy": 6.767313003540039,
+      "epoch": 0.4391052195526098,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026450000000000003,
+      "loss": 6.5504,
+      "mean_token_accuracy": 0.10768762230873108,
+      "num_tokens": 976198.0,
+      "step": 530
+    },
+    {
+      "entropy": 6.892781782150268,
+      "epoch": 0.44324772162386084,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026700000000000004,
+      "loss": 6.624,
+      "mean_token_accuracy": 0.09861580505967141,
+      "num_tokens": 985248.0,
+      "step": 535
+    },
+    {
+      "entropy": 6.772344255447388,
+      "epoch": 0.44739022369511183,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00026950000000000005,
+      "loss": 6.5014,
+      "mean_token_accuracy": 0.1071978710591793,
+      "num_tokens": 993289.0,
+      "step": 540
+    },
+    {
+      "entropy": 6.820696449279785,
+      "epoch": 0.4515327257663629,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027200000000000005,
+      "loss": 6.5909,
+      "mean_token_accuracy": 0.10533165782690049,
+      "num_tokens": 1001784.0,
+      "step": 545
+    },
+    {
+      "entropy": 6.935409688949585,
+      "epoch": 0.45567522783761394,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002745,
+      "loss": 6.5627,
+      "mean_token_accuracy": 0.10804210156202317,
+      "num_tokens": 1010445.0,
+      "step": 550
+    },
+    {
+      "entropy": 6.745790100097656,
+      "epoch": 0.45981772990886494,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000277,
+      "loss": 6.6184,
+      "mean_token_accuracy": 0.10709234476089477,
+      "num_tokens": 1019084.0,
+      "step": 555
+    },
+    {
+      "entropy": 6.7490733623504635,
+      "epoch": 0.463960231980116,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002795,
+      "loss": 6.5249,
+      "mean_token_accuracy": 0.10461713373661041,
+      "num_tokens": 1027263.0,
+      "step": 560
+    },
+    {
+      "entropy": 6.876884937286377,
+      "epoch": 0.46810273405136704,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00028199999999999997,
+      "loss": 6.6233,
+      "mean_token_accuracy": 0.09752989709377288,
+      "num_tokens": 1036275.0,
+      "step": 565
+    },
+    {
+      "entropy": 6.765736055374146,
+      "epoch": 0.47224523612261804,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002845,
+      "loss": 6.7015,
+      "mean_token_accuracy": 0.09858408868312836,
+      "num_tokens": 1045208.0,
+      "step": 570
+    },
+    {
+      "entropy": 6.9024957656860355,
+      "epoch": 0.4763877381938691,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000287,
+      "loss": 6.6287,
+      "mean_token_accuracy": 0.1026283286511898,
+      "num_tokens": 1054703.0,
+      "step": 575
+    },
+    {
+      "entropy": 6.647345924377442,
+      "epoch": 0.48053024026512015,
+      "grad_norm": 1.5,
+      "learning_rate": 0.0002895,
+      "loss": 6.4841,
+      "mean_token_accuracy": 0.10212503597140313,
+      "num_tokens": 1063652.0,
+      "step": 580
+    },
+    {
+      "entropy": 6.717900657653809,
+      "epoch": 0.48467274233637114,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000292,
+      "loss": 6.5873,
+      "mean_token_accuracy": 0.10145951434969902,
+      "num_tokens": 1072070.0,
+      "step": 585
+    },
+    {
+      "entropy": 6.997959756851197,
+      "epoch": 0.4888152444076222,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002945,
+      "loss": 6.6143,
+      "mean_token_accuracy": 0.10064447894692422,
+      "num_tokens": 1079992.0,
+      "step": 590
+    },
+    {
+      "entropy": 6.657160854339599,
+      "epoch": 0.49295774647887325,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000297,
+      "loss": 6.628,
+      "mean_token_accuracy": 0.10435748845338821,
+      "num_tokens": 1088862.0,
+      "step": 595
+    },
+    {
+      "entropy": 6.773271942138672,
+      "epoch": 0.4971002485501243,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002995,
+      "loss": 6.4317,
+      "mean_token_accuracy": 0.10795770138502121,
+      "num_tokens": 1097614.0,
+      "step": 600
+    },
+    {
+      "entropy": 6.7102379322052,
+      "epoch": 0.5012427506213754,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000302,
+      "loss": 6.6288,
+      "mean_token_accuracy": 0.10706980749964715,
+      "num_tokens": 1107347.0,
+      "step": 605
+    },
+    {
+      "entropy": 6.8672473430633545,
+      "epoch": 0.5053852526926264,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003045,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10073774978518486,
+      "num_tokens": 1116707.0,
+      "step": 610
+    },
+    {
+      "entropy": 6.764383840560913,
+      "epoch": 0.5095277547638773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000307,
+      "loss": 6.6549,
+      "mean_token_accuracy": 0.10234303548932075,
+      "num_tokens": 1126356.0,
+      "step": 615
+    },
+    {
+      "entropy": 6.787193298339844,
+      "epoch": 0.5136702568351285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003095,
+      "loss": 6.5847,
+      "mean_token_accuracy": 0.10079671740531922,
+      "num_tokens": 1136281.0,
+      "step": 620
+    },
+    {
+      "entropy": 6.713733196258545,
+      "epoch": 0.5178127589063795,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000312,
+      "loss": 6.5355,
+      "mean_token_accuracy": 0.10429632142186165,
+      "num_tokens": 1145466.0,
+      "step": 625
+    },
+    {
+      "entropy": 6.7503923892974855,
+      "epoch": 0.5219552609776305,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003145,
+      "loss": 6.5409,
+      "mean_token_accuracy": 0.10918259546160698,
+      "num_tokens": 1154225.0,
+      "step": 630
+    },
+    {
+      "entropy": 6.761834907531738,
+      "epoch": 0.5260977630488816,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000317,
+      "loss": 6.5885,
+      "mean_token_accuracy": 0.09673135951161385,
+      "num_tokens": 1163872.0,
+      "step": 635
+    },
+    {
+      "entropy": 6.69431324005127,
+      "epoch": 0.5302402651201326,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003195,
+      "loss": 6.5244,
+      "mean_token_accuracy": 0.10705070868134499,
+      "num_tokens": 1172695.0,
+      "step": 640
+    },
+    {
+      "entropy": 6.651590061187744,
+      "epoch": 0.5343827671913836,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000322,
+      "loss": 6.3962,
+      "mean_token_accuracy": 0.11006554961204529,
+      "num_tokens": 1181291.0,
+      "step": 645
+    },
+    {
+      "entropy": 6.782713270187378,
+      "epoch": 0.5385252692626347,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00032450000000000003,
+      "loss": 6.5715,
+      "mean_token_accuracy": 0.10394523739814758,
+      "num_tokens": 1189927.0,
+      "step": 650
+    },
+    {
+      "entropy": 6.705166435241699,
+      "epoch": 0.5426677713338857,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00032700000000000003,
+      "loss": 6.5043,
+      "mean_token_accuracy": 0.10940467119216919,
+      "num_tokens": 1197913.0,
+      "step": 655
+    },
+    {
+      "entropy": 6.670699262619019,
+      "epoch": 0.5468102734051367,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032950000000000004,
+      "loss": 6.4309,
+      "mean_token_accuracy": 0.11147961542010307,
+      "num_tokens": 1207032.0,
+      "step": 660
+    },
+    {
+      "entropy": 6.640204334259034,
+      "epoch": 0.5509527754763878,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00033200000000000005,
+      "loss": 6.5397,
+      "mean_token_accuracy": 0.10571447387337685,
+      "num_tokens": 1215710.0,
+      "step": 665
+    },
+    {
+      "entropy": 6.694819068908691,
+      "epoch": 0.5550952775476388,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033450000000000005,
+      "loss": 6.52,
+      "mean_token_accuracy": 0.10049431845545768,
+      "num_tokens": 1225619.0,
+      "step": 670
+    },
+    {
+      "entropy": 6.649594163894653,
+      "epoch": 0.5592377796188898,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000337,
+      "loss": 6.4407,
+      "mean_token_accuracy": 0.11157044768333435,
+      "num_tokens": 1235000.0,
+      "step": 675
+    },
+    {
+      "entropy": 6.612611961364746,
+      "epoch": 0.5633802816901409,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003395,
+      "loss": 6.4462,
+      "mean_token_accuracy": 0.108580531924963,
+      "num_tokens": 1243594.0,
+      "step": 680
+    },
+    {
+      "entropy": 6.843221950531006,
+      "epoch": 0.5675227837613919,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000342,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10460855960845947,
+      "num_tokens": 1252279.0,
+      "step": 685
+    },
+    {
+      "entropy": 6.760235929489136,
+      "epoch": 0.5716652858326429,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034449999999999997,
+      "loss": 6.559,
+      "mean_token_accuracy": 0.10665302500128745,
+      "num_tokens": 1261314.0,
+      "step": 690
+    },
+    {
+      "entropy": 6.55326566696167,
+      "epoch": 0.575807787903894,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000347,
+      "loss": 6.4337,
+      "mean_token_accuracy": 0.11188110187649727,
+      "num_tokens": 1270854.0,
+      "step": 695
+    },
+    {
+      "entropy": 6.618375587463379,
+      "epoch": 0.579950289975145,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003495,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.11392810270190239,
+      "num_tokens": 1279183.0,
+      "step": 700
+    },
+    {
+      "entropy": 6.626208257675171,
+      "epoch": 0.584092792046396,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000352,
+      "loss": 6.5015,
+      "mean_token_accuracy": 0.10761247500777245,
+      "num_tokens": 1288347.0,
+      "step": 705
+    },
+    {
+      "entropy": 6.6855669021606445,
+      "epoch": 0.5882352941176471,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003545,
+      "loss": 6.5036,
+      "mean_token_accuracy": 0.10823310390114785,
+      "num_tokens": 1297449.0,
+      "step": 710
+    },
+    {
+      "entropy": 6.710147094726563,
+      "epoch": 0.5923777961888981,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000357,
+      "loss": 6.4688,
+      "mean_token_accuracy": 0.10904998034238815,
+      "num_tokens": 1306232.0,
+      "step": 715
+    },
+    {
+      "entropy": 6.6553794860839846,
+      "epoch": 0.5965202982601492,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003595,
+      "loss": 6.4857,
+      "mean_token_accuracy": 0.11109372302889824,
+      "num_tokens": 1315073.0,
+      "step": 720
+    },
+    {
+      "entropy": 6.674065732955933,
+      "epoch": 0.6006628003314002,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000362,
+      "loss": 6.5301,
+      "mean_token_accuracy": 0.10648825243115426,
+      "num_tokens": 1324629.0,
+      "step": 725
+    },
+    {
+      "entropy": 6.700368881225586,
+      "epoch": 0.6048053024026512,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0003645,
+      "loss": 6.6444,
+      "mean_token_accuracy": 0.10443340390920638,
+      "num_tokens": 1334152.0,
+      "step": 730
+    },
+    {
+      "entropy": 6.779498624801636,
+      "epoch": 0.6089478044739023,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000367,
+      "loss": 6.5946,
+      "mean_token_accuracy": 0.10130336955189705,
+      "num_tokens": 1343063.0,
+      "step": 735
+    },
+    {
+      "entropy": 6.684298419952393,
+      "epoch": 0.6130903065451533,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0003695,
+      "loss": 6.5241,
+      "mean_token_accuracy": 0.10516620799899101,
+      "num_tokens": 1352632.0,
+      "step": 740
+    },
+    {
+      "entropy": 6.582866573333741,
+      "epoch": 0.6172328086164043,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000372,
+      "loss": 6.4712,
+      "mean_token_accuracy": 0.10765027329325676,
+      "num_tokens": 1361103.0,
+      "step": 745
+    },
+    {
+      "entropy": 6.643687963485718,
+      "epoch": 0.6213753106876554,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003745,
+      "loss": 6.4642,
+      "mean_token_accuracy": 0.10832677409052849,
+      "num_tokens": 1370658.0,
+      "step": 750
+    },
+    {
+      "entropy": 6.64506516456604,
+      "epoch": 0.6255178127589064,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000377,
+      "loss": 6.4878,
+      "mean_token_accuracy": 0.10808288529515267,
+      "num_tokens": 1379817.0,
+      "step": 755
+    },
+    {
+      "entropy": 6.640752458572388,
+      "epoch": 0.6296603148301574,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003795,
+      "loss": 6.4418,
+      "mean_token_accuracy": 0.10874675288796425,
+      "num_tokens": 1389329.0,
+      "step": 760
+    },
+    {
+      "entropy": 6.4627049446105955,
+      "epoch": 0.6338028169014085,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000382,
+      "loss": 6.4902,
+      "mean_token_accuracy": 0.10606684386730195,
+      "num_tokens": 1399279.0,
+      "step": 765
+    },
+    {
+      "entropy": 6.621781063079834,
+      "epoch": 0.6379453189726595,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003845,
+      "loss": 6.4146,
+      "mean_token_accuracy": 0.11267002299427986,
+      "num_tokens": 1408765.0,
+      "step": 770
+    },
+    {
+      "entropy": 6.736465692520142,
+      "epoch": 0.6420878210439105,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038700000000000003,
+      "loss": 6.5632,
+      "mean_token_accuracy": 0.10607504546642303,
+      "num_tokens": 1418615.0,
+      "step": 775
+    },
+    {
+      "entropy": 6.616378879547119,
+      "epoch": 0.6462303231151616,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038950000000000003,
+      "loss": 6.4664,
+      "mean_token_accuracy": 0.10207068845629692,
+      "num_tokens": 1427359.0,
+      "step": 780
+    },
+    {
+      "entropy": 6.70065336227417,
+      "epoch": 0.6503728251864126,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00039200000000000004,
+      "loss": 6.622,
+      "mean_token_accuracy": 0.1116428442299366,
+      "num_tokens": 1435516.0,
+      "step": 785
+    },
+    {
+      "entropy": 6.709064102172851,
+      "epoch": 0.6545153272576636,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00039450000000000005,
+      "loss": 6.5704,
+      "mean_token_accuracy": 0.10583743155002594,
+      "num_tokens": 1444438.0,
+      "step": 790
+    },
+    {
+      "entropy": 6.671351766586303,
+      "epoch": 0.6586578293289147,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00039700000000000005,
+      "loss": 6.4996,
+      "mean_token_accuracy": 0.11326526403427124,
+      "num_tokens": 1453740.0,
+      "step": 795
+    },
+    {
+      "entropy": 6.614573907852173,
+      "epoch": 0.6628003314001657,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003995,
+      "loss": 6.4874,
+      "mean_token_accuracy": 0.11111863479018211,
+      "num_tokens": 1462083.0,
+      "step": 800
+    },
+    {
+      "entropy": 6.484545516967773,
+      "epoch": 0.6669428334714167,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000402,
+      "loss": 6.4127,
+      "mean_token_accuracy": 0.1100592203438282,
+      "num_tokens": 1471459.0,
+      "step": 805
+    },
+    {
+      "entropy": 6.621589279174804,
+      "epoch": 0.6710853355426678,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004045,
+      "loss": 6.3972,
+      "mean_token_accuracy": 0.11681128293275833,
+      "num_tokens": 1480516.0,
+      "step": 810
+    },
+    {
+      "entropy": 6.421737241744995,
+      "epoch": 0.6752278376139188,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00040699999999999997,
+      "loss": 6.3,
+      "mean_token_accuracy": 0.11318568140268326,
+      "num_tokens": 1489268.0,
+      "step": 815
+    },
+    {
+      "entropy": 6.700246906280517,
+      "epoch": 0.6793703396851698,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004095,
+      "loss": 6.5174,
+      "mean_token_accuracy": 0.11110908538103104,
+      "num_tokens": 1498819.0,
+      "step": 820
+    },
+    {
+      "entropy": 6.622490644454956,
+      "epoch": 0.6835128417564209,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000412,
+      "loss": 6.501,
+      "mean_token_accuracy": 0.11033953949809075,
+      "num_tokens": 1507852.0,
+      "step": 825
+    },
+    {
+      "entropy": 6.59730544090271,
+      "epoch": 0.6876553438276719,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004145,
+      "loss": 6.5302,
+      "mean_token_accuracy": 0.11122860461473465,
+      "num_tokens": 1517538.0,
+      "step": 830
+    },
+    {
+      "entropy": 6.458763217926025,
+      "epoch": 0.6917978458989229,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000417,
+      "loss": 6.4061,
+      "mean_token_accuracy": 0.11324542313814163,
+      "num_tokens": 1525389.0,
+      "step": 835
+    },
+    {
+      "entropy": 6.57511887550354,
+      "epoch": 0.695940347970174,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004195,
+      "loss": 6.3741,
+      "mean_token_accuracy": 0.11116622686386109,
+      "num_tokens": 1534117.0,
+      "step": 840
+    },
+    {
+      "entropy": 6.522304344177246,
+      "epoch": 0.700082850041425,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000422,
+      "loss": 6.4029,
+      "mean_token_accuracy": 0.11315450444817543,
+      "num_tokens": 1542610.0,
+      "step": 845
+    },
+    {
+      "entropy": 6.5175107479095455,
+      "epoch": 0.704225352112676,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004245,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.1143906556069851,
+      "num_tokens": 1551771.0,
+      "step": 850
+    },
+    {
+      "entropy": 6.620167636871338,
+      "epoch": 0.7083678541839271,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.000427,
+      "loss": 6.5779,
+      "mean_token_accuracy": 0.10512799099087715,
+      "num_tokens": 1560231.0,
+      "step": 855
+    },
+    {
+      "entropy": 6.589151382446289,
+      "epoch": 0.7125103562551781,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004295,
+      "loss": 6.5346,
+      "mean_token_accuracy": 0.10532297939062119,
+      "num_tokens": 1569578.0,
+      "step": 860
+    },
+    {
+      "entropy": 6.563750839233398,
+      "epoch": 0.7166528583264291,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000432,
+      "loss": 6.4187,
+      "mean_token_accuracy": 0.11381370946764946,
+      "num_tokens": 1579308.0,
+      "step": 865
+    },
+    {
+      "entropy": 6.597287034988403,
+      "epoch": 0.7207953603976802,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004345,
+      "loss": 6.6081,
+      "mean_token_accuracy": 0.10267190784215927,
+      "num_tokens": 1589506.0,
+      "step": 870
+    },
+    {
+      "entropy": 6.482245397567749,
+      "epoch": 0.7249378624689312,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000437,
+      "loss": 6.3671,
+      "mean_token_accuracy": 0.11368186473846435,
+      "num_tokens": 1598127.0,
+      "step": 875
+    },
+    {
+      "entropy": 6.548954200744629,
+      "epoch": 0.7290803645401823,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004395,
+      "loss": 6.4125,
+      "mean_token_accuracy": 0.11406067088246345,
+      "num_tokens": 1608073.0,
+      "step": 880
+    },
+    {
+      "entropy": 6.551317119598389,
+      "epoch": 0.7332228666114333,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000442,
+      "loss": 6.4304,
+      "mean_token_accuracy": 0.11178040653467178,
+      "num_tokens": 1616272.0,
+      "step": 885
+    },
+    {
+      "entropy": 6.496135663986206,
+      "epoch": 0.7373653686826843,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004445,
+      "loss": 6.447,
+      "mean_token_accuracy": 0.10845504105091094,
+      "num_tokens": 1625577.0,
+      "step": 890
+    },
+    {
+      "entropy": 6.685812950134277,
+      "epoch": 0.7415078707539354,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000447,
+      "loss": 6.533,
+      "mean_token_accuracy": 0.10158233270049095,
+      "num_tokens": 1634902.0,
+      "step": 895
+    },
+    {
+      "entropy": 6.520436191558838,
+      "epoch": 0.7456503728251864,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00044950000000000003,
+      "loss": 6.4674,
+      "mean_token_accuracy": 0.10865833014249801,
+      "num_tokens": 1644131.0,
+      "step": 900
+    },
+    {
+      "entropy": 6.461379718780518,
+      "epoch": 0.7497928748964374,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00045200000000000004,
+      "loss": 6.3694,
+      "mean_token_accuracy": 0.12158194407820702,
+      "num_tokens": 1652272.0,
+      "step": 905
+    },
+    {
+      "entropy": 6.533070278167725,
+      "epoch": 0.7539353769676885,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00045450000000000004,
+      "loss": 6.4632,
+      "mean_token_accuracy": 0.11447574123740197,
+      "num_tokens": 1660962.0,
+      "step": 910
+    },
+    {
+      "entropy": 6.475569725036621,
+      "epoch": 0.7580778790389395,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045700000000000005,
+      "loss": 6.4006,
+      "mean_token_accuracy": 0.11205699220299721,
+      "num_tokens": 1670570.0,
+      "step": 915
+    },
+    {
+      "entropy": 6.526782608032226,
+      "epoch": 0.7622203811101905,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00045950000000000006,
+      "loss": 6.4497,
+      "mean_token_accuracy": 0.1096197433769703,
+      "num_tokens": 1679674.0,
+      "step": 920
+    },
+    {
+      "entropy": 6.530770015716553,
+      "epoch": 0.7663628831814416,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000462,
+      "loss": 6.4324,
+      "mean_token_accuracy": 0.11466658413410187,
+      "num_tokens": 1688849.0,
+      "step": 925
+    },
+    {
+      "entropy": 6.4163538932800295,
+      "epoch": 0.7705053852526926,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004645,
+      "loss": 6.3128,
+      "mean_token_accuracy": 0.1098814107477665,
+      "num_tokens": 1698565.0,
+      "step": 930
+    },
+    {
+      "entropy": 6.5036052703857425,
+      "epoch": 0.7746478873239436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000467,
+      "loss": 6.3986,
+      "mean_token_accuracy": 0.11683695837855339,
+      "num_tokens": 1708009.0,
+      "step": 935
+    },
+    {
+      "entropy": 6.518198871612549,
+      "epoch": 0.7787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004695,
+      "loss": 6.3878,
+      "mean_token_accuracy": 0.1126109592616558,
+      "num_tokens": 1716497.0,
+      "step": 940
+    },
+    {
+      "entropy": 6.415347719192505,
+      "epoch": 0.7829328914664457,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000472,
+      "loss": 6.4082,
+      "mean_token_accuracy": 0.12070046439766884,
+      "num_tokens": 1725609.0,
+      "step": 945
+    },
+    {
+      "entropy": 6.477306175231933,
+      "epoch": 0.7870753935376967,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004745,
+      "loss": 6.3456,
+      "mean_token_accuracy": 0.11454906165599824,
+      "num_tokens": 1734165.0,
+      "step": 950
+    },
+    {
+      "entropy": 6.454520893096924,
+      "epoch": 0.7912178956089478,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000477,
+      "loss": 6.4546,
+      "mean_token_accuracy": 0.10918105840682983,
+      "num_tokens": 1744856.0,
+      "step": 955
+    },
+    {
+      "entropy": 6.4711943626403805,
+      "epoch": 0.7953603976801988,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004795,
+      "loss": 6.4509,
+      "mean_token_accuracy": 0.10578904524445534,
+      "num_tokens": 1753386.0,
+      "step": 960
+    },
+    {
+      "entropy": 6.4536961078643795,
+      "epoch": 0.7995028997514498,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000482,
+      "loss": 6.3053,
+      "mean_token_accuracy": 0.11872726455330848,
+      "num_tokens": 1762521.0,
+      "step": 965
+    },
+    {
+      "entropy": 6.34936490058899,
+      "epoch": 0.8036454018227009,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004845,
+      "loss": 6.3765,
+      "mean_token_accuracy": 0.11444728896021843,
+      "num_tokens": 1772403.0,
+      "step": 970
+    },
+    {
+      "entropy": 6.375087881088257,
+      "epoch": 0.8077879038939519,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000487,
+      "loss": 6.2884,
+      "mean_token_accuracy": 0.11179185584187508,
+      "num_tokens": 1780924.0,
+      "step": 975
+    },
+    {
+      "entropy": 6.547906732559204,
+      "epoch": 0.8119304059652029,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004895,
+      "loss": 6.4367,
+      "mean_token_accuracy": 0.11225800514221192,
+      "num_tokens": 1789992.0,
+      "step": 980
+    },
+    {
+      "entropy": 6.421040678024292,
+      "epoch": 0.816072908036454,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000492,
+      "loss": 6.3919,
+      "mean_token_accuracy": 0.11761699616909027,
+      "num_tokens": 1799513.0,
+      "step": 985
+    },
+    {
+      "entropy": 6.332476711273193,
+      "epoch": 0.820215410107705,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0004945,
+      "loss": 6.2287,
+      "mean_token_accuracy": 0.11279567033052444,
+      "num_tokens": 1807393.0,
+      "step": 990
+    },
+    {
+      "entropy": 6.438618326187134,
+      "epoch": 0.824357912178956,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000497,
+      "loss": 6.5079,
+      "mean_token_accuracy": 0.10579989776015282,
+      "num_tokens": 1817284.0,
+      "step": 995
+    },
+    {
+      "entropy": 6.449818515777588,
+      "epoch": 0.8285004142502072,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004995,
+      "loss": 6.2996,
+      "mean_token_accuracy": 0.11799877136945724,
+      "num_tokens": 1825591.0,
+      "step": 1000
+    },
+    {
+      "epoch": 0.8285004142502072,
+      "eval_entropy": 6.222835092402216,
+      "eval_loss": 6.475013256072998,
+      "eval_mean_token_accuracy": 0.11269166863866961,
+      "eval_num_tokens": 1825591.0,
+      "eval_runtime": 2.7611,
+      "eval_samples_per_second": 1357.068,
+      "eval_steps_per_second": 169.86,
+      "step": 1000
+    },
+    {
+      "entropy": 6.457831478118896,
+      "epoch": 0.8326429163214581,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0004999998547681232,
+      "loss": 6.3959,
+      "mean_token_accuracy": 0.11798396334052086,
+      "num_tokens": 1834655.0,
+      "step": 1005
+    },
+    {
+      "entropy": 6.26599349975586,
+      "epoch": 0.8367854183927091,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004999992647639447,
+      "loss": 6.2578,
+      "mean_token_accuracy": 0.11858200430870056,
+      "num_tokens": 1844187.0,
+      "step": 1010
+    },
+    {
+      "entropy": 6.415271520614624,
+      "epoch": 0.8409279204639603,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999982209116618,
+      "loss": 6.3345,
+      "mean_token_accuracy": 0.11406200677156449,
+      "num_tokens": 1852768.0,
+      "step": 1015
+    },
+    {
+      "entropy": 6.355557584762574,
+      "epoch": 0.8450704225352113,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004999967232133796,
+      "loss": 6.3913,
+      "mean_token_accuracy": 0.12348653748631477,
+      "num_tokens": 1862095.0,
+      "step": 1020
+    },
+    {
+      "entropy": 6.427043008804321,
+      "epoch": 0.8492129246064622,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004999947716721196,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.10961534604430198,
+      "num_tokens": 1871239.0,
+      "step": 1025
+    },
+    {
+      "entropy": 6.509608554840088,
+      "epoch": 0.8533554266777134,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004999923662918179,
+      "loss": 6.4323,
+      "mean_token_accuracy": 0.11334251016378402,
+      "num_tokens": 1880065.0,
+      "step": 1030
+    },
+    {
+      "entropy": 6.417975521087646,
+      "epoch": 0.8574979287489644,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999895070773266,
+      "loss": 6.4608,
+      "mean_token_accuracy": 0.10985229611396789,
+      "num_tokens": 1889065.0,
+      "step": 1035
+    },
+    {
+      "entropy": 6.429206514358521,
+      "epoch": 0.8616404308202155,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999861940344129,
+      "loss": 6.4721,
+      "mean_token_accuracy": 0.11190373301506043,
+      "num_tokens": 1898238.0,
+      "step": 1040
+    },
+    {
+      "entropy": 6.462369585037232,
+      "epoch": 0.8657829328914665,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004999824271697597,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.12136606723070145,
+      "num_tokens": 1906780.0,
+      "step": 1045
+    },
+    {
+      "entropy": 6.506088638305664,
+      "epoch": 0.8699254349627175,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000499978206490965,
+      "loss": 6.4745,
+      "mean_token_accuracy": 0.11197563111782075,
+      "num_tokens": 1916183.0,
+      "step": 1050
+    },
+    {
+      "entropy": 6.427097368240356,
+      "epoch": 0.8740679370339686,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999735320065427,
+      "loss": 6.3371,
+      "mean_token_accuracy": 0.11927392706274986,
+      "num_tokens": 1925382.0,
+      "step": 1055
+    },
+    {
+      "entropy": 6.292429256439209,
+      "epoch": 0.8782104391052196,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999684037259216,
+      "loss": 6.1827,
+      "mean_token_accuracy": 0.1270924136042595,
+      "num_tokens": 1933639.0,
+      "step": 1060
+    },
+    {
+      "entropy": 6.3600146770477295,
+      "epoch": 0.8823529411764706,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999628216594456,
+      "loss": 6.464,
+      "mean_token_accuracy": 0.11409285366535186,
+      "num_tokens": 1943044.0,
+      "step": 1065
+    },
+    {
+      "entropy": 6.460871028900146,
+      "epoch": 0.8864954432477217,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000499956785818375,
+      "loss": 6.303,
+      "mean_token_accuracy": 0.11871922463178634,
+      "num_tokens": 1951777.0,
+      "step": 1070
+    },
+    {
+      "entropy": 6.376981210708618,
+      "epoch": 0.8906379453189727,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004999502962148843,
+      "loss": 6.3666,
+      "mean_token_accuracy": 0.1170460693538189,
+      "num_tokens": 1961356.0,
+      "step": 1075
+    },
+    {
+      "entropy": 6.439280414581299,
+      "epoch": 0.8947804473902237,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000499943352862064,
+      "loss": 6.4248,
+      "mean_token_accuracy": 0.11459407210350037,
+      "num_tokens": 1970341.0,
+      "step": 1080
+    },
+    {
+      "entropy": 6.394289827346801,
+      "epoch": 0.8989229494614748,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004999359557739194,
+      "loss": 6.2796,
+      "mean_token_accuracy": 0.12198276743292809,
+      "num_tokens": 1978576.0,
+      "step": 1085
+    },
+    {
+      "entropy": 6.319045782089233,
+      "epoch": 0.9030654515327258,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004999281049653713,
+      "loss": 6.3227,
+      "mean_token_accuracy": 0.11601013913750649,
+      "num_tokens": 1987229.0,
+      "step": 1090
+    },
+    {
+      "entropy": 6.376017141342163,
+      "epoch": 0.9072079536039768,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999198004522557,
+      "loss": 6.261,
+      "mean_token_accuracy": 0.12269015237689018,
+      "num_tokens": 1996473.0,
+      "step": 1095
+    },
+    {
+      "entropy": 6.2405853271484375,
+      "epoch": 0.9113504556752279,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999110422513237,
+      "loss": 6.286,
+      "mean_token_accuracy": 0.12056776732206345,
+      "num_tokens": 2005551.0,
+      "step": 1100
+    },
+    {
+      "entropy": 6.398191165924072,
+      "epoch": 0.9154929577464789,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999018303802414,
+      "loss": 6.3869,
+      "mean_token_accuracy": 0.11947718560695648,
+      "num_tokens": 2015012.0,
+      "step": 1105
+    },
+    {
+      "entropy": 6.374700450897217,
+      "epoch": 0.9196354598177299,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004998921648575904,
+      "loss": 6.3999,
+      "mean_token_accuracy": 0.1203969657421112,
+      "num_tokens": 2024435.0,
+      "step": 1110
+    },
+    {
+      "entropy": 6.380674362182617,
+      "epoch": 0.923777961888981,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004998820457028669,
+      "loss": 6.3005,
+      "mean_token_accuracy": 0.12089794874191284,
+      "num_tokens": 2033991.0,
+      "step": 1115
+    },
+    {
+      "entropy": 6.409522771835327,
+      "epoch": 0.927920463960232,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998714729364824,
+      "loss": 6.3017,
+      "mean_token_accuracy": 0.1228084571659565,
+      "num_tokens": 2043117.0,
+      "step": 1120
+    },
+    {
+      "entropy": 6.326260423660278,
+      "epoch": 0.932062966031483,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004998604465797634,
+      "loss": 6.3305,
+      "mean_token_accuracy": 0.11992078274488449,
+      "num_tokens": 2052304.0,
+      "step": 1125
+    },
+    {
+      "entropy": 6.251798295974732,
+      "epoch": 0.9362054681027341,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998489666549512,
+      "loss": 6.2779,
+      "mean_token_accuracy": 0.12114684730768203,
+      "num_tokens": 2061217.0,
+      "step": 1130
+    },
+    {
+      "entropy": 6.319644594192505,
+      "epoch": 0.9403479701739851,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.0004998370331852021,
+      "loss": 6.2517,
+      "mean_token_accuracy": 0.11879112273454666,
+      "num_tokens": 2070796.0,
+      "step": 1135
+    },
+    {
+      "entropy": 6.465651321411133,
+      "epoch": 0.9444904722452361,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004998246461945872,
+      "loss": 6.4037,
+      "mean_token_accuracy": 0.12191760018467904,
+      "num_tokens": 2080202.0,
+      "step": 1140
+    },
+    {
+      "entropy": 6.320812797546386,
+      "epoch": 0.9486329743164872,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004998118057080923,
+      "loss": 6.3045,
+      "mean_token_accuracy": 0.11891168132424354,
+      "num_tokens": 2089788.0,
+      "step": 1145
+    },
+    {
+      "entropy": 6.301202344894409,
+      "epoch": 0.9527754763877382,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004997985117516183,
+      "loss": 6.3462,
+      "mean_token_accuracy": 0.11142431199550629,
+      "num_tokens": 2098727.0,
+      "step": 1150
+    },
+    {
+      "entropy": 6.344118309020996,
+      "epoch": 0.9569179784589892,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997847643519803,
+      "loss": 6.226,
+      "mean_token_accuracy": 0.11924557387828827,
+      "num_tokens": 2107645.0,
+      "step": 1155
+    },
+    {
+      "entropy": 6.1790977954864506,
+      "epoch": 0.9610604805302403,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997705635369085,
+      "loss": 6.1991,
+      "mean_token_accuracy": 0.11988648250699044,
+      "num_tokens": 2116613.0,
+      "step": 1160
+    },
+    {
+      "entropy": 6.284418439865112,
+      "epoch": 0.9652029826014913,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004997559093350474,
+      "loss": 6.1881,
+      "mean_token_accuracy": 0.12116428092122078,
+      "num_tokens": 2125585.0,
+      "step": 1165
+    },
+    {
+      "entropy": 6.396596622467041,
+      "epoch": 0.9693454846727423,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004997408017759562,
+      "loss": 6.3359,
+      "mean_token_accuracy": 0.11936862170696258,
+      "num_tokens": 2134795.0,
+      "step": 1170
+    },
+    {
+      "entropy": 6.273751878738404,
+      "epoch": 0.9734879867439934,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004997252408901084,
+      "loss": 6.3271,
+      "mean_token_accuracy": 0.11899949684739113,
+      "num_tokens": 2143699.0,
+      "step": 1175
+    },
+    {
+      "entropy": 6.386678028106689,
+      "epoch": 0.9776304888152444,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004997092267088922,
+      "loss": 6.2707,
+      "mean_token_accuracy": 0.11861606612801552,
+      "num_tokens": 2152187.0,
+      "step": 1180
+    },
+    {
+      "entropy": 6.275117111206055,
+      "epoch": 0.9817729908864954,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004996927592646097,
+      "loss": 6.3412,
+      "mean_token_accuracy": 0.11767763197422028,
+      "num_tokens": 2160941.0,
+      "step": 1185
+    },
+    {
+      "entropy": 6.339710283279419,
+      "epoch": 0.9859154929577465,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004996758385904776,
+      "loss": 6.3119,
+      "mean_token_accuracy": 0.11789651140570641,
+      "num_tokens": 2168946.0,
+      "step": 1190
+    },
+    {
+      "entropy": 6.181374216079712,
+      "epoch": 0.9900579950289975,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004996584647206269,
+      "loss": 6.2237,
+      "mean_token_accuracy": 0.12055367529392243,
+      "num_tokens": 2177662.0,
+      "step": 1195
+    },
+    {
+      "entropy": 6.316773986816406,
+      "epoch": 0.9942004971002486,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004996406376901026,
+      "loss": 6.3268,
+      "mean_token_accuracy": 0.12757316455245019,
+      "num_tokens": 2187461.0,
+      "step": 1200
+    },
+    {
+      "entropy": 6.283385133743286,
+      "epoch": 0.9983429991714996,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004996223575348635,
+      "loss": 6.2207,
+      "mean_token_accuracy": 0.12578138560056687,
+      "num_tokens": 2196878.0,
+      "step": 1205
+    },
+    {
+      "entropy": 6.311019659042358,
+      "epoch": 1.0024855012427507,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004996036242917828,
+      "loss": 6.2021,
+      "mean_token_accuracy": 0.1151522897183895,
+      "num_tokens": 2206178.0,
+      "step": 1210
+    },
+    {
+      "entropy": 6.25421667098999,
+      "epoch": 1.0066280033140016,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004995844379986476,
+      "loss": 6.0526,
+      "mean_token_accuracy": 0.12476176023483276,
+      "num_tokens": 2215330.0,
+      "step": 1215
+    },
+    {
+      "entropy": 6.309921216964722,
+      "epoch": 1.0107705053852527,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004995647986941587,
+      "loss": 6.0354,
+      "mean_token_accuracy": 0.13005029112100602,
+      "num_tokens": 2224146.0,
+      "step": 1220
+    },
+    {
+      "entropy": 6.241363286972046,
+      "epoch": 1.0149130074565038,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004995447064179308,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13421598002314566,
+      "num_tokens": 2233646.0,
+      "step": 1225
+    },
+    {
+      "entropy": 6.058859920501709,
+      "epoch": 1.0190555095277547,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.000499524161210492,
+      "loss": 5.9379,
+      "mean_token_accuracy": 0.12560308948159218,
+      "num_tokens": 2243663.0,
+      "step": 1230
+    },
+    {
+      "entropy": 6.270004224777222,
+      "epoch": 1.0231980115990058,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004995031631132844,
+      "loss": 6.1035,
+      "mean_token_accuracy": 0.13170127123594283,
+      "num_tokens": 2252564.0,
+      "step": 1235
+    },
+    {
+      "entropy": 6.2710247993469235,
+      "epoch": 1.027340513670257,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004994817121686633,
+      "loss": 6.099,
+      "mean_token_accuracy": 0.12465815395116805,
+      "num_tokens": 2262504.0,
+      "step": 1240
+    },
+    {
+      "entropy": 6.193396997451782,
+      "epoch": 1.0314830157415078,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004994598084198979,
+      "loss": 5.9843,
+      "mean_token_accuracy": 0.1374910719692707,
+      "num_tokens": 2270553.0,
+      "step": 1245
+    },
+    {
+      "entropy": 6.136552810668945,
+      "epoch": 1.035625517812759,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004994374519111701,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.1272726461291313,
+      "num_tokens": 2279319.0,
+      "step": 1250
+    },
+    {
+      "entropy": 6.217378282546997,
+      "epoch": 1.03976801988401,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004994146426875757,
+      "loss": 6.123,
+      "mean_token_accuracy": 0.126935476064682,
+      "num_tokens": 2288749.0,
+      "step": 1255
+    },
+    {
+      "entropy": 6.218695068359375,
+      "epoch": 1.043910521955261,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004993913807951232,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.12562426924705505,
+      "num_tokens": 2298272.0,
+      "step": 1260
+    },
+    {
+      "entropy": 6.221994352340698,
+      "epoch": 1.048053024026512,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004993676662807345,
+      "loss": 6.047,
+      "mean_token_accuracy": 0.12884460240602494,
+      "num_tokens": 2307230.0,
+      "step": 1265
+    },
+    {
+      "entropy": 6.183428144454956,
+      "epoch": 1.0521955260977631,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004993434991922443,
+      "loss": 6.1317,
+      "mean_token_accuracy": 0.12460145726799965,
+      "num_tokens": 2316306.0,
+      "step": 1270
+    },
+    {
+      "entropy": 6.22090425491333,
+      "epoch": 1.056338028169014,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004993188795784002,
+      "loss": 6.0531,
+      "mean_token_accuracy": 0.1241947129368782,
+      "num_tokens": 2325672.0,
+      "step": 1275
+    },
+    {
+      "entropy": 6.1453857421875,
+      "epoch": 1.0604805302402651,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004992938074888628,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.1274007849395275,
+      "num_tokens": 2335251.0,
+      "step": 1280
+    },
+    {
+      "entropy": 6.180039167404175,
+      "epoch": 1.0646230323115162,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004992682829742052,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.1308726042509079,
+      "num_tokens": 2344054.0,
+      "step": 1285
+    },
+    {
+      "entropy": 6.086296463012696,
+      "epoch": 1.0687655343827671,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004992423060859132,
+      "loss": 6.0236,
+      "mean_token_accuracy": 0.127706591039896,
+      "num_tokens": 2353493.0,
+      "step": 1290
+    },
+    {
+      "entropy": 6.223158740997315,
+      "epoch": 1.0729080364540182,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004992158768763849,
+      "loss": 6.1321,
+      "mean_token_accuracy": 0.12850543335080147,
+      "num_tokens": 2362687.0,
+      "step": 1295
+    },
+    {
+      "entropy": 6.2506636619567875,
+      "epoch": 1.0770505385252693,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004991889953989308,
+      "loss": 6.0965,
+      "mean_token_accuracy": 0.12563316524028778,
+      "num_tokens": 2372325.0,
+      "step": 1300
+    },
+    {
+      "entropy": 6.173602199554443,
+      "epoch": 1.0811930405965202,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004991616617077741,
+      "loss": 6.12,
+      "mean_token_accuracy": 0.1287991665303707,
+      "num_tokens": 2381987.0,
+      "step": 1305
+    },
+    {
+      "entropy": 6.307486963272095,
+      "epoch": 1.0853355426677713,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004991338758580496,
+      "loss": 6.0234,
+      "mean_token_accuracy": 0.13178783878684044,
+      "num_tokens": 2390901.0,
+      "step": 1310
+    },
+    {
+      "entropy": 6.034789133071899,
+      "epoch": 1.0894780447390224,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004991056379058045,
+      "loss": 6.0813,
+      "mean_token_accuracy": 0.12450421676039695,
+      "num_tokens": 2400756.0,
+      "step": 1315
+    },
+    {
+      "entropy": 6.188017988204956,
+      "epoch": 1.0936205468102733,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004990769479079976,
+      "loss": 5.9232,
+      "mean_token_accuracy": 0.12984196096658707,
+      "num_tokens": 2409526.0,
+      "step": 1320
+    },
+    {
+      "entropy": 6.086554956436157,
+      "epoch": 1.0977630488815244,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004990478059225003,
+      "loss": 6.0931,
+      "mean_token_accuracy": 0.12972966134548186,
+      "num_tokens": 2419583.0,
+      "step": 1325
+    },
+    {
+      "entropy": 6.2457873821258545,
+      "epoch": 1.1019055509527755,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004990182120080945,
+      "loss": 6.0338,
+      "mean_token_accuracy": 0.12990806251764297,
+      "num_tokens": 2429439.0,
+      "step": 1330
+    },
+    {
+      "entropy": 6.078778219223023,
+      "epoch": 1.1060480530240264,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004989881662244748,
+      "loss": 6.0416,
+      "mean_token_accuracy": 0.12380676046013832,
+      "num_tokens": 2438467.0,
+      "step": 1335
+    },
+    {
+      "entropy": 6.138932418823242,
+      "epoch": 1.1101905550952775,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004989576686322468,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.1332716926932335,
+      "num_tokens": 2446619.0,
+      "step": 1340
+    },
+    {
+      "entropy": 6.1281578540802,
+      "epoch": 1.1143330571665286,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004989267192929272,
+      "loss": 6.0379,
+      "mean_token_accuracy": 0.12955363765358924,
+      "num_tokens": 2454998.0,
+      "step": 1345
+    },
+    {
+      "entropy": 6.09554443359375,
+      "epoch": 1.1184755592377795,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004988953182689445,
+      "loss": 6.0072,
+      "mean_token_accuracy": 0.13532012328505516,
+      "num_tokens": 2463497.0,
+      "step": 1350
+    },
+    {
+      "entropy": 6.134703922271728,
+      "epoch": 1.1226180613090306,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004988634656236378,
+      "loss": 5.9216,
+      "mean_token_accuracy": 0.13609320148825646,
+      "num_tokens": 2471763.0,
+      "step": 1355
+    },
+    {
+      "entropy": 6.145527791976929,
+      "epoch": 1.1267605633802817,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004988311614212576,
+      "loss": 6.0016,
+      "mean_token_accuracy": 0.1402701161801815,
+      "num_tokens": 2479949.0,
+      "step": 1360
+    },
+    {
+      "entropy": 6.116470623016357,
+      "epoch": 1.1309030654515326,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004987984057269648,
+      "loss": 6.0539,
+      "mean_token_accuracy": 0.13444141745567323,
+      "num_tokens": 2489097.0,
+      "step": 1365
+    },
+    {
+      "entropy": 5.972180604934692,
+      "epoch": 1.1350455675227837,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004987651986068311,
+      "loss": 5.8781,
+      "mean_token_accuracy": 0.13601028621196748,
+      "num_tokens": 2497625.0,
+      "step": 1370
+    },
+    {
+      "entropy": 6.143597984313965,
+      "epoch": 1.1391880695940348,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004987315401278394,
+      "loss": 6.1252,
+      "mean_token_accuracy": 0.1272761717438698,
+      "num_tokens": 2507107.0,
+      "step": 1375
+    },
+    {
+      "entropy": 6.286170959472656,
+      "epoch": 1.143330571665286,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004986974303578819,
+      "loss": 6.1408,
+      "mean_token_accuracy": 0.12348597794771195,
+      "num_tokens": 2516629.0,
+      "step": 1380
+    },
+    {
+      "entropy": 6.077923250198364,
+      "epoch": 1.1474730737365368,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004986628693657621,
+      "loss": 6.021,
+      "mean_token_accuracy": 0.1280151717364788,
+      "num_tokens": 2525924.0,
+      "step": 1385
+    },
+    {
+      "entropy": 6.229060649871826,
+      "epoch": 1.151615575807788,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004986278572211933,
+      "loss": 6.1723,
+      "mean_token_accuracy": 0.1280426375567913,
+      "num_tokens": 2535586.0,
+      "step": 1390
+    },
+    {
+      "entropy": 6.189875984191895,
+      "epoch": 1.1557580778790388,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004985923939947987,
+      "loss": 6.2595,
+      "mean_token_accuracy": 0.1247698113322258,
+      "num_tokens": 2546685.0,
+      "step": 1395
+    },
+    {
+      "entropy": 6.148470640182495,
+      "epoch": 1.15990057995029,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004985564797581115,
+      "loss": 5.9681,
+      "mean_token_accuracy": 0.12971177995204924,
+      "num_tokens": 2556873.0,
+      "step": 1400
+    },
+    {
+      "entropy": 6.143459701538086,
+      "epoch": 1.164043082021541,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004985201145835747,
+      "loss": 5.9836,
+      "mean_token_accuracy": 0.13127154856920242,
+      "num_tokens": 2565222.0,
+      "step": 1405
+    },
+    {
+      "entropy": 6.031957960128784,
+      "epoch": 1.1681855840927922,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.000498483298544541,
+      "loss": 5.9875,
+      "mean_token_accuracy": 0.13211632743477822,
+      "num_tokens": 2575467.0,
+      "step": 1410
+    },
+    {
+      "entropy": 6.136318731307983,
+      "epoch": 1.172328086164043,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000498446031715272,
+      "loss": 6.0125,
+      "mean_token_accuracy": 0.13508019223809242,
+      "num_tokens": 2583963.0,
+      "step": 1415
+    },
+    {
+      "entropy": 6.133963680267334,
+      "epoch": 1.1764705882352942,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004984083141709391,
+      "loss": 6.042,
+      "mean_token_accuracy": 0.13524071872234344,
+      "num_tokens": 2593350.0,
+      "step": 1420
+    },
+    {
+      "entropy": 5.975436115264893,
+      "epoch": 1.180613090306545,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000498370145987623,
+      "loss": 5.9652,
+      "mean_token_accuracy": 0.13682079091668128,
+      "num_tokens": 2602191.0,
+      "step": 1425
+    },
+    {
+      "entropy": 6.170718050003051,
+      "epoch": 1.1847555923777962,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004983315272423127,
+      "loss": 6.0999,
+      "mean_token_accuracy": 0.1291058838367462,
+      "num_tokens": 2613590.0,
+      "step": 1430
+    },
+    {
+      "entropy": 6.049332237243652,
+      "epoch": 1.1888980944490473,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004982924580129066,
+      "loss": 5.8895,
+      "mean_token_accuracy": 0.1340464949607849,
+      "num_tokens": 2622072.0,
+      "step": 1435
+    },
+    {
+      "entropy": 6.093293142318726,
+      "epoch": 1.1930405965202984,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004982529383782116,
+      "loss": 6.1012,
+      "mean_token_accuracy": 0.13022035285830497,
+      "num_tokens": 2630904.0,
+      "step": 1440
+    },
+    {
+      "entropy": 6.189996242523193,
+      "epoch": 1.1971830985915493,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004982129684179432,
+      "loss": 6.0594,
+      "mean_token_accuracy": 0.13088259026408194,
+      "num_tokens": 2639925.0,
+      "step": 1445
+    },
+    {
+      "entropy": 6.1187131881713865,
+      "epoch": 1.2013256006628004,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004981725482127251,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.13439981341362,
+      "num_tokens": 2649397.0,
+      "step": 1450
+    },
+    {
+      "entropy": 6.16315655708313,
+      "epoch": 1.2054681027340513,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004981316778440892,
+      "loss": 6.081,
+      "mean_token_accuracy": 0.13515593931078912,
+      "num_tokens": 2658877.0,
+      "step": 1455
+    },
+    {
+      "entropy": 6.063838720321655,
+      "epoch": 1.2096106048053024,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004980903573944756,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13121431767940522,
+      "num_tokens": 2668518.0,
+      "step": 1460
+    },
+    {
+      "entropy": 6.059180212020874,
+      "epoch": 1.2137531068765535,
+      "grad_norm": 1.0078125,
+      "learning_rate": 0.0004980485869472322,
+      "loss": 6.1148,
+      "mean_token_accuracy": 0.12996160089969636,
+      "num_tokens": 2677459.0,
+      "step": 1465
+    },
+    {
+      "entropy": 6.223527908325195,
+      "epoch": 1.2178956089478046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004980063665866143,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12482839822769165,
+      "num_tokens": 2686668.0,
+      "step": 1470
+    },
+    {
+      "entropy": 5.935272264480591,
+      "epoch": 1.2220381110190555,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004979636963977853,
+      "loss": 5.8825,
+      "mean_token_accuracy": 0.1352998949587345,
+      "num_tokens": 2695545.0,
+      "step": 1475
+    },
+    {
+      "entropy": 6.066101598739624,
+      "epoch": 1.2261806130903066,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004979205764668156,
+      "loss": 6.0569,
+      "mean_token_accuracy": 0.13228241056203843,
+      "num_tokens": 2705514.0,
+      "step": 1480
+    },
+    {
+      "entropy": 6.138315343856812,
+      "epoch": 1.2303231151615575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004978770068806825,
+      "loss": 5.9599,
+      "mean_token_accuracy": 0.13136665150523186,
+      "num_tokens": 2714373.0,
+      "step": 1485
+    },
+    {
+      "entropy": 6.061770391464234,
+      "epoch": 1.2344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.000497832987727271,
+      "loss": 6.0715,
+      "mean_token_accuracy": 0.1264137916266918,
+      "num_tokens": 2723887.0,
+      "step": 1490
+    },
+    {
+      "entropy": 6.061756038665772,
+      "epoch": 1.2386081193040597,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004977885190953724,
+      "loss": 5.956,
+      "mean_token_accuracy": 0.13353569880127908,
+      "num_tokens": 2733591.0,
+      "step": 1495
+    },
+    {
+      "entropy": 6.104292392730713,
+      "epoch": 1.2427506213753108,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004977436010746846,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.13720986992120743,
+      "num_tokens": 2741638.0,
+      "step": 1500
+    },
+    {
+      "epoch": 1.2427506213753108,
+      "eval_entropy": 6.029743814773397,
+      "eval_loss": 6.2611613273620605,
+      "eval_mean_token_accuracy": 0.12890694399219332,
+      "eval_num_tokens": 2741638.0,
+      "eval_runtime": 2.9518,
+      "eval_samples_per_second": 1269.399,
+      "eval_steps_per_second": 158.887,
+      "step": 1500
+    },
+    {
+      "entropy": 6.078821802139283,
+      "epoch": 1.2468931234465617,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004976982337558124,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13084649220108985,
+      "num_tokens": 2749711.0,
+      "step": 1505
+    },
+    {
+      "entropy": 6.094208097457885,
+      "epoch": 1.2510356255178128,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004976524172302665,
+      "loss": 6.121,
+      "mean_token_accuracy": 0.13192041367292404,
+      "num_tokens": 2758121.0,
+      "step": 1510
+    },
+    {
+      "entropy": 6.159745693206787,
+      "epoch": 1.2551781275890637,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004976061515904641,
+      "loss": 6.1181,
+      "mean_token_accuracy": 0.12667254582047463,
+      "num_tokens": 2766764.0,
+      "step": 1515
+    },
+    {
+      "entropy": 6.116680526733399,
+      "epoch": 1.2593206296603148,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004975594369297277,
+      "loss": 6.0557,
+      "mean_token_accuracy": 0.1348518520593643,
+      "num_tokens": 2775561.0,
+      "step": 1520
+    },
+    {
+      "entropy": 6.08063235282898,
+      "epoch": 1.2634631317315659,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004975122733422861,
+      "loss": 6.0201,
+      "mean_token_accuracy": 0.13085112273693084,
+      "num_tokens": 2784691.0,
+      "step": 1525
+    },
+    {
+      "entropy": 6.129113435745239,
+      "epoch": 1.267605633802817,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004974646609232732,
+      "loss": 5.9816,
+      "mean_token_accuracy": 0.13641836866736412,
+      "num_tokens": 2793893.0,
+      "step": 1530
+    },
+    {
+      "entropy": 6.108260202407837,
+      "epoch": 1.2717481358740679,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004974165997687288,
+      "loss": 6.0751,
+      "mean_token_accuracy": 0.13353196606040002,
+      "num_tokens": 2804479.0,
+      "step": 1535
+    },
+    {
+      "entropy": 6.16022138595581,
+      "epoch": 1.275890637945319,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004973680899755972,
+      "loss": 6.107,
+      "mean_token_accuracy": 0.1326654002070427,
+      "num_tokens": 2813966.0,
+      "step": 1540
+    },
+    {
+      "entropy": 6.007886743545532,
+      "epoch": 1.2800331400165699,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000497319131641728,
+      "loss": 5.9326,
+      "mean_token_accuracy": 0.13846119418740271,
+      "num_tokens": 2822328.0,
+      "step": 1545
+    },
+    {
+      "entropy": 6.003260755538941,
+      "epoch": 1.284175642087821,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004972697248658755,
+      "loss": 5.8899,
+      "mean_token_accuracy": 0.14066707715392113,
+      "num_tokens": 2829845.0,
+      "step": 1550
+    },
+    {
+      "entropy": 5.948832178115845,
+      "epoch": 1.288318144159072,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004972198697476987,
+      "loss": 5.8783,
+      "mean_token_accuracy": 0.13914238885045052,
+      "num_tokens": 2839040.0,
+      "step": 1555
+    },
+    {
+      "entropy": 5.961882209777832,
+      "epoch": 1.2924606462303232,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004971695663877607,
+      "loss": 5.9665,
+      "mean_token_accuracy": 0.13561231270432472,
+      "num_tokens": 2848574.0,
+      "step": 1560
+    },
+    {
+      "entropy": 6.077086877822876,
+      "epoch": 1.296603148301574,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004971188148875289,
+      "loss": 5.9421,
+      "mean_token_accuracy": 0.14444561377167703,
+      "num_tokens": 2856812.0,
+      "step": 1565
+    },
+    {
+      "entropy": 6.051652336120606,
+      "epoch": 1.3007456503728252,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004970676153493748,
+      "loss": 6.0283,
+      "mean_token_accuracy": 0.13189572617411613,
+      "num_tokens": 2866001.0,
+      "step": 1570
+    },
+    {
+      "entropy": 6.1068840503692625,
+      "epoch": 1.3048881524440763,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004970159678765731,
+      "loss": 6.0164,
+      "mean_token_accuracy": 0.13239546120166779,
+      "num_tokens": 2875181.0,
+      "step": 1575
+    },
+    {
+      "entropy": 6.049808597564697,
+      "epoch": 1.3090306545153272,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004969638725733028,
+      "loss": 5.9587,
+      "mean_token_accuracy": 0.13397156223654746,
+      "num_tokens": 2885103.0,
+      "step": 1580
+    },
+    {
+      "entropy": 5.92131872177124,
+      "epoch": 1.3131731565865783,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004969113295446455,
+      "loss": 5.9116,
+      "mean_token_accuracy": 0.1383065924048424,
+      "num_tokens": 2894055.0,
+      "step": 1585
+    },
+    {
+      "entropy": 6.116864538192749,
+      "epoch": 1.3173156586578294,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004968583388965863,
+      "loss": 5.9846,
+      "mean_token_accuracy": 0.133075200766325,
+      "num_tokens": 2903391.0,
+      "step": 1590
+    },
+    {
+      "entropy": 6.006745624542236,
+      "epoch": 1.3214581607290803,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004968049007360132,
+      "loss": 5.9854,
+      "mean_token_accuracy": 0.13297903537750244,
+      "num_tokens": 2911760.0,
+      "step": 1595
+    },
+    {
+      "entropy": 5.926331329345703,
+      "epoch": 1.3256006628003314,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004967510151707169,
+      "loss": 5.9369,
+      "mean_token_accuracy": 0.13469143435359002,
+      "num_tokens": 2920589.0,
+      "step": 1600
+    },
+    {
+      "entropy": 6.15295524597168,
+      "epoch": 1.3297431648715825,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004966966823093903,
+      "loss": 6.0746,
+      "mean_token_accuracy": 0.1302391268312931,
+      "num_tokens": 2929635.0,
+      "step": 1605
+    },
+    {
+      "entropy": 5.986531114578247,
+      "epoch": 1.3338856669428334,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004966419022616287,
+      "loss": 5.9349,
+      "mean_token_accuracy": 0.13593596145510672,
+      "num_tokens": 2938778.0,
+      "step": 1610
+    },
+    {
+      "entropy": 6.039755535125733,
+      "epoch": 1.3380281690140845,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004965866751379296,
+      "loss": 6.0503,
+      "mean_token_accuracy": 0.13109695687890052,
+      "num_tokens": 2947836.0,
+      "step": 1615
+    },
+    {
+      "entropy": 6.133180904388428,
+      "epoch": 1.3421706710853356,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004965310010496922,
+      "loss": 6.0032,
+      "mean_token_accuracy": 0.1280514419078827,
+      "num_tokens": 2957028.0,
+      "step": 1620
+    },
+    {
+      "entropy": 6.026159048080444,
+      "epoch": 1.3463131731565865,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004964748801092168,
+      "loss": 5.9571,
+      "mean_token_accuracy": 0.1338861681520939,
+      "num_tokens": 2966088.0,
+      "step": 1625
+    },
+    {
+      "entropy": 6.078959226608276,
+      "epoch": 1.3504556752278376,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004964183124297059,
+      "loss": 6.0438,
+      "mean_token_accuracy": 0.13178688064217567,
+      "num_tokens": 2975271.0,
+      "step": 1630
+    },
+    {
+      "entropy": 5.992210865020752,
+      "epoch": 1.3545981772990887,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004963612981252625,
+      "loss": 6.0524,
+      "mean_token_accuracy": 0.1321226365864277,
+      "num_tokens": 2983799.0,
+      "step": 1635
+    },
+    {
+      "entropy": 6.056794929504394,
+      "epoch": 1.3587406793703396,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004963038373108908,
+      "loss": 6.0179,
+      "mean_token_accuracy": 0.13609340488910676,
+      "num_tokens": 2992675.0,
+      "step": 1640
+    },
+    {
+      "entropy": 6.155933427810669,
+      "epoch": 1.3628831814415907,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004962459301024954,
+      "loss": 6.0838,
+      "mean_token_accuracy": 0.13211635649204254,
+      "num_tokens": 3002483.0,
+      "step": 1645
+    },
+    {
+      "entropy": 6.027872896194458,
+      "epoch": 1.3670256835128418,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004961875766168816,
+      "loss": 5.985,
+      "mean_token_accuracy": 0.13883458971977233,
+      "num_tokens": 3010611.0,
+      "step": 1650
+    },
+    {
+      "entropy": 6.057289028167725,
+      "epoch": 1.371168185584093,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004961287769717547,
+      "loss": 5.9397,
+      "mean_token_accuracy": 0.13197456523776055,
+      "num_tokens": 3019928.0,
+      "step": 1655
+    },
+    {
+      "entropy": 5.9325989246368405,
+      "epoch": 1.3753106876553438,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004960695312857199,
+      "loss": 5.9279,
+      "mean_token_accuracy": 0.13408055454492568,
+      "num_tokens": 3029003.0,
+      "step": 1660
+    },
+    {
+      "entropy": 6.0389604568481445,
+      "epoch": 1.379453189726595,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004960098396782824,
+      "loss": 5.9464,
+      "mean_token_accuracy": 0.1375861033797264,
+      "num_tokens": 3038049.0,
+      "step": 1665
+    },
+    {
+      "entropy": 5.969662141799927,
+      "epoch": 1.3835956917978458,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004959497022698466,
+      "loss": 5.9515,
+      "mean_token_accuracy": 0.14408120438456534,
+      "num_tokens": 3046674.0,
+      "step": 1670
+    },
+    {
+      "entropy": 6.0561059474945065,
+      "epoch": 1.387738193869097,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004958891191817163,
+      "loss": 5.9927,
+      "mean_token_accuracy": 0.12801324650645257,
+      "num_tokens": 3056459.0,
+      "step": 1675
+    },
+    {
+      "entropy": 6.032327270507812,
+      "epoch": 1.391880695940348,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000495828090536094,
+      "loss": 5.9845,
+      "mean_token_accuracy": 0.13036760538816453,
+      "num_tokens": 3066294.0,
+      "step": 1680
+    },
+    {
+      "entropy": 6.0512574195861815,
+      "epoch": 1.3960231980115991,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004957666164560815,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13139644563198088,
+      "num_tokens": 3075420.0,
+      "step": 1685
+    },
+    {
+      "entropy": 6.063203239440918,
+      "epoch": 1.40016570008285,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004957046970656784,
+      "loss": 6.0385,
+      "mean_token_accuracy": 0.13581736162304878,
+      "num_tokens": 3084373.0,
+      "step": 1690
+    },
+    {
+      "entropy": 6.00097541809082,
+      "epoch": 1.4043082021541011,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004956423324897831,
+      "loss": 6.0257,
+      "mean_token_accuracy": 0.13937310948967935,
+      "num_tokens": 3094212.0,
+      "step": 1695
+    },
+    {
+      "entropy": 6.043115425109863,
+      "epoch": 1.408450704225352,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004955795228541917,
+      "loss": 5.9589,
+      "mean_token_accuracy": 0.14452596232295037,
+      "num_tokens": 3102769.0,
+      "step": 1700
+    },
+    {
+      "entropy": 6.040110731124878,
+      "epoch": 1.4125932062966031,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000495516268285598,
+      "loss": 5.9805,
+      "mean_token_accuracy": 0.13440805301070213,
+      "num_tokens": 3111465.0,
+      "step": 1705
+    },
+    {
+      "entropy": 5.978239822387695,
+      "epoch": 1.4167357083678542,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004954525689115935,
+      "loss": 5.9177,
+      "mean_token_accuracy": 0.13326097056269645,
+      "num_tokens": 3121106.0,
+      "step": 1710
+    },
+    {
+      "entropy": 6.007881164550781,
+      "epoch": 1.4208782104391053,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004953884248606669,
+      "loss": 5.945,
+      "mean_token_accuracy": 0.14831372052431108,
+      "num_tokens": 3130662.0,
+      "step": 1715
+    },
+    {
+      "entropy": 5.97642674446106,
+      "epoch": 1.4250207125103562,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004953238362622034,
+      "loss": 5.9812,
+      "mean_token_accuracy": 0.13328263983130456,
+      "num_tokens": 3139538.0,
+      "step": 1720
+    },
+    {
+      "entropy": 6.0256367206573485,
+      "epoch": 1.4291632145816073,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004952588032464855,
+      "loss": 6.0298,
+      "mean_token_accuracy": 0.12707214802503586,
+      "num_tokens": 3148552.0,
+      "step": 1725
+    },
+    {
+      "entropy": 5.996851205825806,
+      "epoch": 1.4333057166528582,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004951933259446919,
+      "loss": 5.9365,
+      "mean_token_accuracy": 0.14197203740477563,
+      "num_tokens": 3156549.0,
+      "step": 1730
+    },
+    {
+      "entropy": 6.114988136291504,
+      "epoch": 1.4374482187241093,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004951274044888975,
+      "loss": 6.1006,
+      "mean_token_accuracy": 0.12147112190723419,
+      "num_tokens": 3166821.0,
+      "step": 1735
+    },
+    {
+      "entropy": 5.960144329071045,
+      "epoch": 1.4415907207953604,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004950610390120731,
+      "loss": 5.9848,
+      "mean_token_accuracy": 0.135729306191206,
+      "num_tokens": 3174962.0,
+      "step": 1740
+    },
+    {
+      "entropy": 6.087535095214844,
+      "epoch": 1.4457332228666115,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000494994229648085,
+      "loss": 5.8903,
+      "mean_token_accuracy": 0.13537728488445283,
+      "num_tokens": 3184027.0,
+      "step": 1745
+    },
+    {
+      "entropy": 5.957475805282593,
+      "epoch": 1.4498757249378624,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004949269765316948,
+      "loss": 6.0321,
+      "mean_token_accuracy": 0.13071285635232927,
+      "num_tokens": 3193186.0,
+      "step": 1750
+    },
+    {
+      "entropy": 6.171153354644775,
+      "epoch": 1.4540182270091135,
+      "grad_norm": 2.140625,
+      "learning_rate": 0.0004948592797985599,
+      "loss": 6.0525,
+      "mean_token_accuracy": 0.13555259853601456,
+      "num_tokens": 3202676.0,
+      "step": 1755
+    },
+    {
+      "entropy": 6.123908805847168,
+      "epoch": 1.4581607290803644,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947911395852317,
+      "loss": 6.1524,
+      "mean_token_accuracy": 0.1352410912513733,
+      "num_tokens": 3211950.0,
+      "step": 1760
+    },
+    {
+      "entropy": 6.120599699020386,
+      "epoch": 1.4623032311516155,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947225560291565,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12961760386824608,
+      "num_tokens": 3221135.0,
+      "step": 1765
+    },
+    {
+      "entropy": 5.962483358383179,
+      "epoch": 1.4664457332228666,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004946535292686746,
+      "loss": 5.8975,
+      "mean_token_accuracy": 0.13825839310884475,
+      "num_tokens": 3230174.0,
+      "step": 1770
+    },
+    {
+      "entropy": 5.979943370819091,
+      "epoch": 1.4705882352941178,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004945840594430209,
+      "loss": 5.8871,
+      "mean_token_accuracy": 0.1381668671965599,
+      "num_tokens": 3238898.0,
+      "step": 1775
+    },
+    {
+      "entropy": 5.973515844345092,
+      "epoch": 1.4747307373653686,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004945141466923235,
+      "loss": 5.9292,
+      "mean_token_accuracy": 0.14479121565818787,
+      "num_tokens": 3247550.0,
+      "step": 1780
+    },
+    {
+      "entropy": 6.113377714157105,
+      "epoch": 1.4788732394366197,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004944437911576041,
+      "loss": 6.0779,
+      "mean_token_accuracy": 0.12900342419743538,
+      "num_tokens": 3256810.0,
+      "step": 1785
+    },
+    {
+      "entropy": 5.9020613670349125,
+      "epoch": 1.4830157415078706,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004943729929807772,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.139550269395113,
+      "num_tokens": 3265886.0,
+      "step": 1790
+    },
+    {
+      "entropy": 6.06021089553833,
+      "epoch": 1.4871582435791217,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004943017523046507,
+      "loss": 5.9273,
+      "mean_token_accuracy": 0.137468421459198,
+      "num_tokens": 3274522.0,
+      "step": 1795
+    },
+    {
+      "entropy": 6.027210426330567,
+      "epoch": 1.4913007456503728,
+      "grad_norm": 1.25,
+      "learning_rate": 0.000494230069272925,
+      "loss": 6.0486,
+      "mean_token_accuracy": 0.13558472618460654,
+      "num_tokens": 3283388.0,
+      "step": 1800
+    },
+    {
+      "entropy": 5.989331531524658,
+      "epoch": 1.495443247721624,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004941579440301923,
+      "loss": 5.9224,
+      "mean_token_accuracy": 0.1305856943130493,
+      "num_tokens": 3291887.0,
+      "step": 1805
+    },
+    {
+      "entropy": 5.96136965751648,
+      "epoch": 1.4995857497928748,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940853767219372,
+      "loss": 5.9685,
+      "mean_token_accuracy": 0.13564062863588333,
+      "num_tokens": 3300674.0,
+      "step": 1810
+    },
+    {
+      "entropy": 5.9364429950714115,
+      "epoch": 1.503728251864126,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940123674945359,
+      "loss": 5.8311,
+      "mean_token_accuracy": 0.13808463513851166,
+      "num_tokens": 3309745.0,
+      "step": 1815
+    },
+    {
+      "entropy": 6.076629638671875,
+      "epoch": 1.5078707539353768,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004939389164952561,
+      "loss": 5.9722,
+      "mean_token_accuracy": 0.1378110609948635,
+      "num_tokens": 3318888.0,
+      "step": 1820
+    },
+    {
+      "entropy": 5.8970863819122314,
+      "epoch": 1.512013256006628,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004938650238722564,
+      "loss": 5.9296,
+      "mean_token_accuracy": 0.13823849260807036,
+      "num_tokens": 3328274.0,
+      "step": 1825
+    },
+    {
+      "entropy": 6.003948831558228,
+      "epoch": 1.516155758077879,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004937906897745861,
+      "loss": 5.9387,
+      "mean_token_accuracy": 0.1468382939696312,
+      "num_tokens": 3337579.0,
+      "step": 1830
+    },
+    {
+      "entropy": 6.045965003967285,
+      "epoch": 1.5202982601491302,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004937159143521856,
+      "loss": 5.9081,
+      "mean_token_accuracy": 0.14555162489414214,
+      "num_tokens": 3346262.0,
+      "step": 1835
+    },
+    {
+      "entropy": 5.972390079498291,
+      "epoch": 1.5244407622203813,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004936406977558847,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.13030771315097808,
+      "num_tokens": 3354833.0,
+      "step": 1840
+    },
+    {
+      "entropy": 6.051387977600098,
+      "epoch": 1.5285832642916322,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004935650401374039,
+      "loss": 6.0906,
+      "mean_token_accuracy": 0.14119647368788718,
+      "num_tokens": 3364314.0,
+      "step": 1845
+    },
+    {
+      "entropy": 6.046140813827515,
+      "epoch": 1.532725766362883,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004934889416493524,
+      "loss": 5.9157,
+      "mean_token_accuracy": 0.13524662256240844,
+      "num_tokens": 3373648.0,
+      "step": 1850
+    },
+    {
+      "entropy": 5.863892507553101,
+      "epoch": 1.5368682684341342,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004934124024452295,
+      "loss": 5.7869,
+      "mean_token_accuracy": 0.1471114367246628,
+      "num_tokens": 3382919.0,
+      "step": 1855
+    },
+    {
+      "entropy": 5.888700532913208,
+      "epoch": 1.5410107705053853,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004933354226794232,
+      "loss": 5.9383,
+      "mean_token_accuracy": 0.1432707317173481,
+      "num_tokens": 3391814.0,
+      "step": 1860
+    },
+    {
+      "entropy": 6.080925798416137,
+      "epoch": 1.5451532725766364,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004932580025072098,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.13580586463212968,
+      "num_tokens": 3400392.0,
+      "step": 1865
+    },
+    {
+      "entropy": 5.996384525299073,
+      "epoch": 1.5492957746478875,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004931801420847545,
+      "loss": 6.036,
+      "mean_token_accuracy": 0.13089759424328803,
+      "num_tokens": 3410430.0,
+      "step": 1870
+    },
+    {
+      "entropy": 5.932257795333863,
+      "epoch": 1.5534382767191384,
+      "grad_norm": 0.9609375,
+      "learning_rate": 0.0004931018415691102,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.13694921880960464,
+      "num_tokens": 3420654.0,
+      "step": 1875
+    },
+    {
+      "entropy": 5.951343011856079,
+      "epoch": 1.5575807787903893,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004930231011182176,
+      "loss": 5.9986,
+      "mean_token_accuracy": 0.13937177062034606,
+      "num_tokens": 3430514.0,
+      "step": 1880
+    },
+    {
+      "entropy": 6.071512508392334,
+      "epoch": 1.5617232808616404,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004929439208909048,
+      "loss": 5.9331,
+      "mean_token_accuracy": 0.1375361390411854,
+      "num_tokens": 3439551.0,
+      "step": 1885
+    },
+    {
+      "entropy": 5.902947330474854,
+      "epoch": 1.5658657829328915,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004928643010468869,
+      "loss": 5.8911,
+      "mean_token_accuracy": 0.13622887432575226,
+      "num_tokens": 3448160.0,
+      "step": 1890
+    },
+    {
+      "entropy": 5.993059539794922,
+      "epoch": 1.5700082850041426,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004927842417467659,
+      "loss": 5.9517,
+      "mean_token_accuracy": 0.14548188596963882,
+      "num_tokens": 3457296.0,
+      "step": 1895
+    },
+    {
+      "entropy": 6.027637386322022,
+      "epoch": 1.5741507870753937,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004927037431520302,
+      "loss": 5.9073,
+      "mean_token_accuracy": 0.14102519080042838,
+      "num_tokens": 3466108.0,
+      "step": 1900
+    },
+    {
+      "entropy": 5.975209665298462,
+      "epoch": 1.5782932891466446,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004926228054250541,
+      "loss": 5.9941,
+      "mean_token_accuracy": 0.14009249955415726,
+      "num_tokens": 3475336.0,
+      "step": 1905
+    },
+    {
+      "entropy": 6.073916673660278,
+      "epoch": 1.5824357912178955,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004925414287290979,
+      "loss": 5.9668,
+      "mean_token_accuracy": 0.13723743334412575,
+      "num_tokens": 3483963.0,
+      "step": 1910
+    },
+    {
+      "entropy": 5.848618030548096,
+      "epoch": 1.5865782932891466,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004924596132283075,
+      "loss": 5.8765,
+      "mean_token_accuracy": 0.14485997408628465,
+      "num_tokens": 3492947.0,
+      "step": 1915
+    },
+    {
+      "entropy": 5.966853284835816,
+      "epoch": 1.5907207953603977,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004923773590877135,
+      "loss": 5.9651,
+      "mean_token_accuracy": 0.13334692791104316,
+      "num_tokens": 3501877.0,
+      "step": 1920
+    },
+    {
+      "entropy": 6.042904996871949,
+      "epoch": 1.5948632974316488,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004922946664732314,
+      "loss": 6.0304,
+      "mean_token_accuracy": 0.13204361274838447,
+      "num_tokens": 3510610.0,
+      "step": 1925
+    },
+    {
+      "entropy": 6.0583656311035154,
+      "epoch": 1.5990057995029,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004922115355516615,
+      "loss": 5.9841,
+      "mean_token_accuracy": 0.13304307833313941,
+      "num_tokens": 3519829.0,
+      "step": 1930
+    },
+    {
+      "entropy": 6.015839862823486,
+      "epoch": 1.6031483015741508,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004921279664906877,
+      "loss": 5.9661,
+      "mean_token_accuracy": 0.13071200698614122,
+      "num_tokens": 3529408.0,
+      "step": 1935
+    },
+    {
+      "entropy": 5.924501991271972,
+      "epoch": 1.6072908036454017,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004920439594588781,
+      "loss": 5.8955,
+      "mean_token_accuracy": 0.14675913602113724,
+      "num_tokens": 3538068.0,
+      "step": 1940
+    },
+    {
+      "entropy": 6.051935148239136,
+      "epoch": 1.6114333057166528,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000491959514625684,
+      "loss": 6.0177,
+      "mean_token_accuracy": 0.13845598921179772,
+      "num_tokens": 3547302.0,
+      "step": 1945
+    },
+    {
+      "entropy": 5.956210565567017,
+      "epoch": 1.6155758077879039,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00049187463216144,
+      "loss": 5.9024,
+      "mean_token_accuracy": 0.145584287494421,
+      "num_tokens": 3556087.0,
+      "step": 1950
+    },
+    {
+      "entropy": 6.046857452392578,
+      "epoch": 1.619718309859155,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.000491789312237363,
+      "loss": 5.9857,
+      "mean_token_accuracy": 0.13579782098531723,
+      "num_tokens": 3566235.0,
+      "step": 1955
+    },
+    {
+      "entropy": 5.983897924423218,
+      "epoch": 1.623860811930406,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004917035550255528,
+      "loss": 5.899,
+      "mean_token_accuracy": 0.14092317298054696,
+      "num_tokens": 3574762.0,
+      "step": 1960
+    },
+    {
+      "entropy": 5.904513597488403,
+      "epoch": 1.628003314001657,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000491617360698991,
+      "loss": 5.8837,
+      "mean_token_accuracy": 0.139695380628109,
+      "num_tokens": 3583359.0,
+      "step": 1965
+    },
+    {
+      "entropy": 5.920687866210938,
+      "epoch": 1.6321458160729079,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004915307294315412,
+      "loss": 5.8505,
+      "mean_token_accuracy": 0.14011457338929176,
+      "num_tokens": 3591436.0,
+      "step": 1970
+    },
+    {
+      "entropy": 5.926318550109864,
+      "epoch": 1.636288318144159,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.000491443661397948,
+      "loss": 5.9355,
+      "mean_token_accuracy": 0.13468224480748175,
+      "num_tokens": 3601054.0,
+      "step": 1975
+    },
+    {
+      "entropy": 5.974443817138672,
+      "epoch": 1.64043082021541,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004913561567738368,
+      "loss": 5.9014,
+      "mean_token_accuracy": 0.1383673779666424,
+      "num_tokens": 3610641.0,
+      "step": 1980
+    },
+    {
+      "entropy": 5.912512636184692,
+      "epoch": 1.6445733222866612,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004912682157357146,
+      "loss": 5.8447,
+      "mean_token_accuracy": 0.13975749984383584,
+      "num_tokens": 3619351.0,
+      "step": 1985
+    },
+    {
+      "entropy": 5.853101539611816,
+      "epoch": 1.6487158243579123,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004911798384609675,
+      "loss": 5.8306,
+      "mean_token_accuracy": 0.1472959376871586,
+      "num_tokens": 3627341.0,
+      "step": 1990
+    },
+    {
+      "entropy": 5.942045879364014,
+      "epoch": 1.6528583264291632,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004910910251278626,
+      "loss": 5.8918,
+      "mean_token_accuracy": 0.14801610112190247,
+      "num_tokens": 3637132.0,
+      "step": 1995
+    },
+    {
+      "entropy": 5.919465351104736,
+      "epoch": 1.6570008285004143,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004910017759155458,
+      "loss": 5.9479,
+      "mean_token_accuracy": 0.1400071859359741,
+      "num_tokens": 3646196.0,
+      "step": 2000
+    },
+    {
+      "epoch": 1.6570008285004143,
+      "eval_entropy": 5.874394122979789,
+      "eval_loss": 6.1148576736450195,
+      "eval_mean_token_accuracy": 0.1363023624046525,
+      "eval_num_tokens": 3646196.0,
+      "eval_runtime": 2.7574,
+      "eval_samples_per_second": 1358.871,
+      "eval_steps_per_second": 170.085,
+      "step": 2000
+    },
+    {
+      "entropy": 5.967284250259399,
+      "epoch": 1.6611433305716652,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004909120910040427,
+      "loss": 5.8839,
+      "mean_token_accuracy": 0.1461731344461441,
+      "num_tokens": 3654658.0,
+      "step": 2005
+    },
+    {
+      "entropy": 6.045904684066772,
+      "epoch": 1.6652858326429163,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004908219705742574,
+      "loss": 6.1605,
+      "mean_token_accuracy": 0.13489469960331918,
+      "num_tokens": 3664509.0,
+      "step": 2010
+    },
+    {
+      "entropy": 6.002130031585693,
+      "epoch": 1.6694283347141674,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004907314148079727,
+      "loss": 5.8567,
+      "mean_token_accuracy": 0.1425239197909832,
+      "num_tokens": 3672983.0,
+      "step": 2015
+    },
+    {
+      "entropy": 5.708412790298462,
+      "epoch": 1.6735708367854185,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004906404238878496,
+      "loss": 5.7221,
+      "mean_token_accuracy": 0.14639501571655272,
+      "num_tokens": 3681196.0,
+      "step": 2020
+    },
+    {
+      "entropy": 5.97982873916626,
+      "epoch": 1.6777133388566694,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004905489979974265,
+      "loss": 5.9098,
+      "mean_token_accuracy": 0.14081615954637527,
+      "num_tokens": 3690077.0,
+      "step": 2025
+    },
+    {
+      "entropy": 5.942774772644043,
+      "epoch": 1.6818558409279205,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004904571373211197,
+      "loss": 5.9906,
+      "mean_token_accuracy": 0.13563016131520272,
+      "num_tokens": 3700121.0,
+      "step": 2030
+    },
+    {
+      "entropy": 5.897730588912964,
+      "epoch": 1.6859983429991714,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000490364842044222,
+      "loss": 5.8074,
+      "mean_token_accuracy": 0.14530285224318504,
+      "num_tokens": 3709618.0,
+      "step": 2035
+    },
+    {
+      "entropy": 5.954602289199829,
+      "epoch": 1.6901408450704225,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004902721123529031,
+      "loss": 5.9869,
+      "mean_token_accuracy": 0.12953415215015412,
+      "num_tokens": 3719570.0,
+      "step": 2040
+    },
+    {
+      "entropy": 6.074023342132568,
+      "epoch": 1.6942833471416736,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000490178948434209,
+      "loss": 5.9267,
+      "mean_token_accuracy": 0.14249598532915114,
+      "num_tokens": 3729354.0,
+      "step": 2045
+    },
+    {
+      "entropy": 5.833365964889526,
+      "epoch": 1.6984258492129247,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004900853504760614,
+      "loss": 5.8409,
+      "mean_token_accuracy": 0.14450331926345825,
+      "num_tokens": 3738453.0,
+      "step": 2050
+    },
+    {
+      "entropy": 5.888468265533447,
+      "epoch": 1.7025683512841756,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004899913186672577,
+      "loss": 5.8165,
+      "mean_token_accuracy": 0.14293194860219954,
+      "num_tokens": 3747815.0,
+      "step": 2055
+    },
+    {
+      "entropy": 5.914711236953735,
+      "epoch": 1.7067108533554267,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004898968531974702,
+      "loss": 5.9249,
+      "mean_token_accuracy": 0.14642315953969956,
+      "num_tokens": 3757298.0,
+      "step": 2060
+    },
+    {
+      "entropy": 5.978992033004761,
+      "epoch": 1.7108533554266776,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004898019542572462,
+      "loss": 5.9124,
+      "mean_token_accuracy": 0.14719650894403458,
+      "num_tokens": 3765939.0,
+      "step": 2065
+    },
+    {
+      "entropy": 6.005469894409179,
+      "epoch": 1.7149958574979287,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004897066220380073,
+      "loss": 5.933,
+      "mean_token_accuracy": 0.13779435828328132,
+      "num_tokens": 3775160.0,
+      "step": 2070
+    },
+    {
+      "entropy": 5.921374797821045,
+      "epoch": 1.7191383595691798,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004896108567320489,
+      "loss": 5.831,
+      "mean_token_accuracy": 0.14186858981847764,
+      "num_tokens": 3785181.0,
+      "step": 2075
+    },
+    {
+      "entropy": 5.972924375534058,
+      "epoch": 1.723280861640431,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048951465853254,
+      "loss": 5.9444,
+      "mean_token_accuracy": 0.14323145076632499,
+      "num_tokens": 3794531.0,
+      "step": 2080
+    },
+    {
+      "entropy": 5.953138160705566,
+      "epoch": 1.7274233637116818,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004894180276335231,
+      "loss": 5.934,
+      "mean_token_accuracy": 0.1396125227212906,
+      "num_tokens": 3804602.0,
+      "step": 2085
+    },
+    {
+      "entropy": 5.9721667766571045,
+      "epoch": 1.731565865782933,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004893209642299132,
+      "loss": 5.97,
+      "mean_token_accuracy": 0.1395590640604496,
+      "num_tokens": 3813394.0,
+      "step": 2090
+    },
+    {
+      "entropy": 5.97849326133728,
+      "epoch": 1.7357083678541838,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004892234685174976,
+      "loss": 5.962,
+      "mean_token_accuracy": 0.13808128908276557,
+      "num_tokens": 3821604.0,
+      "step": 2095
+    },
+    {
+      "entropy": 5.967495775222778,
+      "epoch": 1.739850869925435,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004891255406929359,
+      "loss": 5.9564,
+      "mean_token_accuracy": 0.13652343899011612,
+      "num_tokens": 3831977.0,
+      "step": 2100
+    },
+    {
+      "entropy": 5.98737063407898,
+      "epoch": 1.743993371996686,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004890271809537595,
+      "loss": 5.9017,
+      "mean_token_accuracy": 0.1393343411386013,
+      "num_tokens": 3840684.0,
+      "step": 2105
+    },
+    {
+      "entropy": 5.870862340927124,
+      "epoch": 1.7481358740679371,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004889283894983704,
+      "loss": 5.8147,
+      "mean_token_accuracy": 0.1389534741640091,
+      "num_tokens": 3851147.0,
+      "step": 2110
+    },
+    {
+      "entropy": 6.002704238891601,
+      "epoch": 1.752278376139188,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000488829166526042,
+      "loss": 5.9838,
+      "mean_token_accuracy": 0.13991605415940284,
+      "num_tokens": 3859881.0,
+      "step": 2115
+    },
+    {
+      "entropy": 5.948231506347656,
+      "epoch": 1.7564208782104391,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004887295122369176,
+      "loss": 6.0107,
+      "mean_token_accuracy": 0.13371825441718102,
+      "num_tokens": 3870151.0,
+      "step": 2120
+    },
+    {
+      "entropy": 5.99525203704834,
+      "epoch": 1.76056338028169,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.000488629426832011,
+      "loss": 5.9313,
+      "mean_token_accuracy": 0.13850879445672035,
+      "num_tokens": 3878398.0,
+      "step": 2125
+    },
+    {
+      "entropy": 5.924004030227661,
+      "epoch": 1.7647058823529411,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004885289105132054,
+      "loss": 5.8893,
+      "mean_token_accuracy": 0.14114601090550422,
+      "num_tokens": 3888007.0,
+      "step": 2130
+    },
+    {
+      "entropy": 5.930246257781983,
+      "epoch": 1.7688483844241922,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004884279634832532,
+      "loss": 5.8728,
+      "mean_token_accuracy": 0.14278061985969542,
+      "num_tokens": 3896945.0,
+      "step": 2135
+    },
+    {
+      "entropy": 5.940092372894287,
+      "epoch": 1.7729908864954433,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004883265859457754,
+      "loss": 5.8905,
+      "mean_token_accuracy": 0.1457919418811798,
+      "num_tokens": 3906049.0,
+      "step": 2140
+    },
+    {
+      "entropy": 5.866062164306641,
+      "epoch": 1.7771333885666944,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048822477810526186,
+      "loss": 5.8422,
+      "mean_token_accuracy": 0.1388966679573059,
+      "num_tokens": 3915050.0,
+      "step": 2145
+    },
+    {
+      "entropy": 5.966696119308471,
+      "epoch": 1.7812758906379453,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00048812254016706994,
+      "loss": 5.9205,
+      "mean_token_accuracy": 0.14728582575917243,
+      "num_tokens": 3924031.0,
+      "step": 2150
+    },
+    {
+      "entropy": 5.915832757949829,
+      "epoch": 1.7854183927091962,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004880198723374247,
+      "loss": 5.9776,
+      "mean_token_accuracy": 0.14149753525853156,
+      "num_tokens": 3933756.0,
+      "step": 2155
+    },
+    {
+      "entropy": 5.959774684906006,
+      "epoch": 1.7895608947804473,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048791677482341845,
+      "loss": 5.9592,
+      "mean_token_accuracy": 0.13750381171703338,
+      "num_tokens": 3943129.0,
+      "step": 2160
+    },
+    {
+      "entropy": 5.881538438796997,
+      "epoch": 1.7937033968516984,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048781324783301016,
+      "loss": 5.7912,
+      "mean_token_accuracy": 0.14508036673069,
+      "num_tokens": 3951494.0,
+      "step": 2165
+    },
+    {
+      "entropy": 5.946735525131226,
+      "epoch": 1.7978458989229495,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048770929157502505,
+      "loss": 5.9565,
+      "mean_token_accuracy": 0.143115097284317,
+      "num_tokens": 3960588.0,
+      "step": 2170
+    },
+    {
+      "entropy": 5.9805809497833256,
+      "epoch": 1.8019884009942007,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004876049062591543,
+      "loss": 5.9226,
+      "mean_token_accuracy": 0.13506680428981782,
+      "num_tokens": 3970135.0,
+      "step": 2175
+    },
+    {
+      "entropy": 5.950060653686523,
+      "epoch": 1.8061309030654515,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048750009209595443,
+      "loss": 5.9042,
+      "mean_token_accuracy": 0.13944360390305519,
+      "num_tokens": 3979569.0,
+      "step": 2180
+    },
+    {
+      "entropy": 5.88271656036377,
+      "epoch": 1.8102734051367024,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048739484929684714,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.144245932251215,
+      "num_tokens": 3987885.0,
+      "step": 2185
+    },
+    {
+      "entropy": 5.933677864074707,
+      "epoch": 1.8144159072079535,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048728917807411856,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.13125594183802605,
+      "num_tokens": 3997726.0,
+      "step": 2190
+    },
+    {
+      "entropy": 6.008653068542481,
+      "epoch": 1.8185584092792046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004871830786409191,
+      "loss": 5.8436,
+      "mean_token_accuracy": 0.14898036047816277,
+      "num_tokens": 4006437.0,
+      "step": 2195
+    },
+    {
+      "entropy": 5.856683444976807,
+      "epoch": 1.8227009113504558,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00048707655121126296,
+      "loss": 5.8124,
+      "mean_token_accuracy": 0.14927435666322708,
+      "num_tokens": 4015326.0,
+      "step": 2200
+    },
+    {
+      "entropy": 5.924995994567871,
+      "epoch": 1.8268434134217069,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048696959600002767,
+      "loss": 5.8722,
+      "mean_token_accuracy": 0.14032577201724053,
+      "num_tokens": 4024294.0,
+      "step": 2205
+    },
+    {
+      "entropy": 5.881852293014527,
+      "epoch": 1.8309859154929577,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048686221322295347,
+      "loss": 5.9028,
+      "mean_token_accuracy": 0.14340249821543694,
+      "num_tokens": 4033341.0,
+      "step": 2210
+    },
+    {
+      "entropy": 5.951443433761597,
+      "epoch": 1.8351284175642086,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048675440309664314,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.1474481076002121,
+      "num_tokens": 4042446.0,
+      "step": 2215
+    },
+    {
+      "entropy": 5.832607173919678,
+      "epoch": 1.8392709196354597,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00048664616583856166,
+      "loss": 5.8924,
+      "mean_token_accuracy": 0.13868724405765534,
+      "num_tokens": 4051849.0,
+      "step": 2220
+    },
+    {
+      "entropy": 6.026660823822022,
+      "epoch": 1.8434134217067109,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00048653750166703516,
+      "loss": 5.9855,
+      "mean_token_accuracy": 0.1381051518023014,
+      "num_tokens": 4061075.0,
+      "step": 2225
+    },
+    {
+      "entropy": 5.976817560195923,
+      "epoch": 1.847555923777962,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004864284108012513,
+      "loss": 5.9524,
+      "mean_token_accuracy": 0.13498588278889656,
+      "num_tokens": 4071022.0,
+      "step": 2230
+    },
+    {
+      "entropy": 5.884273719787598,
+      "epoch": 1.851698425849213,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004863188934612583,
+      "loss": 5.854,
+      "mean_token_accuracy": 0.1435965158045292,
+      "num_tokens": 4080728.0,
+      "step": 2235
+    },
+    {
+      "entropy": 5.8848789691925045,
+      "epoch": 1.855840927920464,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004862089498679645,
+      "loss": 5.8121,
+      "mean_token_accuracy": 0.15146355628967284,
+      "num_tokens": 4088712.0,
+      "step": 2240
+    },
+    {
+      "entropy": 5.904728364944458,
+      "epoch": 1.8599834299917148,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004860985802431383,
+      "loss": 5.8445,
+      "mean_token_accuracy": 0.14107747822999955,
+      "num_tokens": 4097488.0,
+      "step": 2245
+    },
+    {
+      "entropy": 5.815548610687256,
+      "epoch": 1.864125932062966,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004859877848094071,
+      "loss": 5.8328,
+      "mean_token_accuracy": 0.14647450745105745,
+      "num_tokens": 4106485.0,
+      "step": 2250
+    },
+    {
+      "entropy": 5.969652986526489,
+      "epoch": 1.868268434134217,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004858765637902575,
+      "loss": 5.8016,
+      "mean_token_accuracy": 0.14588006138801574,
+      "num_tokens": 4115806.0,
+      "step": 2255
+    },
+    {
+      "entropy": 5.982199335098267,
+      "epoch": 1.8724109362054682,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004857649174100344,
+      "loss": 5.9353,
+      "mean_token_accuracy": 0.14478921219706536,
+      "num_tokens": 4124636.0,
+      "step": 2260
+    },
+    {
+      "entropy": 5.869907474517822,
+      "epoch": 1.8765534382767193,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.0004856528458939409,
+      "loss": 5.8948,
+      "mean_token_accuracy": 0.13403457626700402,
+      "num_tokens": 4133876.0,
+      "step": 2265
+    },
+    {
+      "entropy": 5.836872100830078,
+      "epoch": 1.8806959403479702,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004855403494680373,
+      "loss": 5.8159,
+      "mean_token_accuracy": 0.14096100330352784,
+      "num_tokens": 4143555.0,
+      "step": 2270
+    },
+    {
+      "entropy": 5.871636962890625,
+      "epoch": 1.884838442419221,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00048542742835924133,
+      "loss": 5.7773,
+      "mean_token_accuracy": 0.14253296032547952,
+      "num_tokens": 4153007.0,
+      "step": 2275
+    },
+    {
+      "entropy": 5.766701364517212,
+      "epoch": 1.8889809444904722,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048531408279532705,
+      "loss": 5.8171,
+      "mean_token_accuracy": 0.14552054405212403,
+      "num_tokens": 4162107.0,
+      "step": 2280
+    },
+    {
+      "entropy": 5.884533357620239,
+      "epoch": 1.8931234465617233,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048520031300492507,
+      "loss": 5.8208,
+      "mean_token_accuracy": 0.14203491136431695,
+      "num_tokens": 4170920.0,
+      "step": 2285
+    },
+    {
+      "entropy": 5.9367118835449215,
+      "epoch": 1.8972659486329744,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048508611921752124,
+      "loss": 5.8366,
+      "mean_token_accuracy": 0.14547978863120078,
+      "num_tokens": 4180226.0,
+      "step": 2290
+    },
+    {
+      "entropy": 5.804201984405518,
+      "epoch": 1.9014084507042255,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00048497150166345703,
+      "loss": 5.7799,
+      "mean_token_accuracy": 0.14307984560728074,
+      "num_tokens": 4189283.0,
+      "step": 2295
+    },
+    {
+      "entropy": 5.833661937713623,
+      "epoch": 1.9055509527754764,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004848564605739287,
+      "loss": 5.8181,
+      "mean_token_accuracy": 0.14286661818623542,
+      "num_tokens": 4199017.0,
+      "step": 2300
+    },
+    {
+      "entropy": 5.985245418548584,
+      "epoch": 1.9096934548467275,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048474099618098644,
+      "loss": 5.9557,
+      "mean_token_accuracy": 0.13776218444108962,
+      "num_tokens": 4207756.0,
+      "step": 2305
+    },
+    {
+      "entropy": 5.926583385467529,
+      "epoch": 1.9138359569179784,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004846251087175348,
+      "loss": 5.8467,
+      "mean_token_accuracy": 0.14270823299884797,
+      "num_tokens": 4216721.0,
+      "step": 2310
+    },
+    {
+      "entropy": 5.816466999053955,
+      "epoch": 1.9179784589892295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004845087984173312,
+      "loss": 5.8214,
+      "mean_token_accuracy": 0.14952016696333886,
+      "num_tokens": 4225596.0,
+      "step": 2315
+    },
+    {
+      "entropy": 5.975145244598389,
+      "epoch": 1.9221209610604806,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048439206551498644,
+      "loss": 5.8881,
+      "mean_token_accuracy": 0.14604572355747222,
+      "num_tokens": 4234500.0,
+      "step": 2320
+    },
+    {
+      "entropy": 5.83410792350769,
+      "epoch": 1.9262634631317317,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004842749102459635,
+      "loss": 5.8331,
+      "mean_token_accuracy": 0.14477182626724244,
+      "num_tokens": 4243240.0,
+      "step": 2325
+    },
+    {
+      "entropy": 5.799895906448365,
+      "epoch": 1.9304059652029826,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048415733284657727,
+      "loss": 5.8249,
+      "mean_token_accuracy": 0.14724751114845275,
+      "num_tokens": 4251892.0,
+      "step": 2330
+    },
+    {
+      "entropy": 5.914888668060303,
+      "epoch": 1.9345484672742337,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004840393335539943,
+      "loss": 5.784,
+      "mean_token_accuracy": 0.14537777602672577,
+      "num_tokens": 4261447.0,
+      "step": 2335
+    },
+    {
+      "entropy": 5.93565788269043,
+      "epoch": 1.9386909693454846,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048392091260623195,
+      "loss": 5.9202,
+      "mean_token_accuracy": 0.1471864774823189,
+      "num_tokens": 4270120.0,
+      "step": 2340
+    },
+    {
+      "entropy": 5.905978488922119,
+      "epoch": 1.9428334714167357,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048380207024215836,
+      "loss": 5.7991,
+      "mean_token_accuracy": 0.1482786476612091,
+      "num_tokens": 4278300.0,
+      "step": 2345
+    },
+    {
+      "entropy": 5.905145263671875,
+      "epoch": 1.9469759734879868,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00048368280670149145,
+      "loss": 5.8487,
+      "mean_token_accuracy": 0.1461447760462761,
+      "num_tokens": 4286454.0,
+      "step": 2350
+    },
+    {
+      "entropy": 5.805000495910645,
+      "epoch": 1.951118475559238,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004835631222247989,
+      "loss": 5.7243,
+      "mean_token_accuracy": 0.15050614029169082,
+      "num_tokens": 4294752.0,
+      "step": 2355
+    },
+    {
+      "entropy": 5.907592630386352,
+      "epoch": 1.9552609776304888,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00048344301705349735,
+      "loss": 5.7974,
+      "mean_token_accuracy": 0.14830030649900436,
+      "num_tokens": 4303195.0,
+      "step": 2360
+    },
+    {
+      "entropy": 5.841587924957276,
+      "epoch": 1.95940347970174,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048332249142985195,
+      "loss": 5.9211,
+      "mean_token_accuracy": 0.1373597078025341,
+      "num_tokens": 4311961.0,
+      "step": 2365
+    },
+    {
+      "entropy": 5.900353670120239,
+      "epoch": 1.9635459817729908,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004832015455969763,
+      "loss": 5.7748,
+      "mean_token_accuracy": 0.13879901468753814,
+      "num_tokens": 4322267.0,
+      "step": 2370
+    },
+    {
+      "entropy": 5.774641275405884,
+      "epoch": 1.9676884838442419,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048308017979883114,
+      "loss": 5.8838,
+      "mean_token_accuracy": 0.1426581546664238,
+      "num_tokens": 4330584.0,
+      "step": 2375
+    },
+    {
+      "entropy": 5.840176010131836,
+      "epoch": 1.971830985915493,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048295839428022454,
+      "loss": 5.7215,
+      "mean_token_accuracy": 0.14949245899915695,
+      "num_tokens": 4339215.0,
+      "step": 2380
+    },
+    {
+      "entropy": 5.869688034057617,
+      "epoch": 1.975973487986744,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00048283618928681127,
+      "loss": 5.7418,
+      "mean_token_accuracy": 0.1501791574060917,
+      "num_tokens": 4347711.0,
+      "step": 2385
+    },
+    {
+      "entropy": 5.764533996582031,
+      "epoch": 1.980115990057995,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004827135650650923,
+      "loss": 5.7445,
+      "mean_token_accuracy": 0.14758301600813867,
+      "num_tokens": 4356982.0,
+      "step": 2390
+    },
+    {
+      "entropy": 5.770398235321045,
+      "epoch": 1.984258492129246,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004825905218624139,
+      "loss": 5.7696,
+      "mean_token_accuracy": 0.14773683473467827,
+      "num_tokens": 4365378.0,
+      "step": 2395
+    },
+    {
+      "entropy": 5.9908288478851315,
+      "epoch": 1.988400994200497,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048246705992696756,
+      "loss": 5.8174,
+      "mean_token_accuracy": 0.14142358154058457,
+      "num_tokens": 4374007.0,
+      "step": 2400
+    },
+    {
+      "entropy": 5.9741987705230715,
+      "epoch": 1.992543496271748,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048234317950778975,
+      "loss": 5.9346,
+      "mean_token_accuracy": 0.1409923940896988,
+      "num_tokens": 4383909.0,
+      "step": 2405
+    },
+    {
+      "entropy": 5.967488718032837,
+      "epoch": 1.9966859983429992,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004822188808547607,
+      "loss": 5.9967,
+      "mean_token_accuracy": 0.13560240790247918,
+      "num_tokens": 4393145.0,
+      "step": 2410
+    },
+    {
+      "entropy": 5.751282596588135,
+      "epoch": 2.0008285004142503,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004820941642186043,
+      "loss": 5.7146,
+      "mean_token_accuracy": 0.14043126851320267,
+      "num_tokens": 4402024.0,
+      "step": 2415
+    },
+    {
+      "entropy": 5.91456356048584,
+      "epoch": 2.0049710024855014,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004819690298508879,
+      "loss": 5.5395,
+      "mean_token_accuracy": 0.1603303700685501,
+      "num_tokens": 4411377.0,
+      "step": 2420
+    },
+    {
+      "entropy": 5.758482313156128,
+      "epoch": 2.009113504556752,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048184347800402083,
+      "loss": 5.4299,
+      "mean_token_accuracy": 0.16564757078886033,
+      "num_tokens": 4419781.0,
+      "step": 2425
+    },
+    {
+      "entropy": 5.727555131912231,
+      "epoch": 2.013256006628003,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004817175089312551,
+      "loss": 5.4154,
+      "mean_token_accuracy": 0.16400155574083328,
+      "num_tokens": 4428427.0,
+      "step": 2430
+    },
+    {
+      "entropy": 5.749885892868042,
+      "epoch": 2.0173985086992543,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048159112288668403,
+      "loss": 5.4586,
+      "mean_token_accuracy": 0.15933601409196854,
+      "num_tokens": 4438156.0,
+      "step": 2435
+    },
+    {
+      "entropy": 5.876013088226318,
+      "epoch": 2.0215410107705054,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00048146432012524215,
+      "loss": 5.4819,
+      "mean_token_accuracy": 0.16306492537260056,
+      "num_tokens": 4446342.0,
+      "step": 2440
+    },
+    {
+      "entropy": 5.738983201980591,
+      "epoch": 2.0256835128417565,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00048133710090270446,
+      "loss": 5.5229,
+      "mean_token_accuracy": 0.1542331963777542,
+      "num_tokens": 4455582.0,
+      "step": 2445
+    },
+    {
+      "entropy": 5.815389633178711,
+      "epoch": 2.0298260149130076,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048120946547568596,
+      "loss": 5.5375,
+      "mean_token_accuracy": 0.15604802072048188,
+      "num_tokens": 4464518.0,
+      "step": 2450
+    },
+    {
+      "entropy": 5.927202749252319,
+      "epoch": 2.0339685169842583,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00048108141410164133,
+      "loss": 5.6588,
+      "mean_token_accuracy": 0.14534952044486998,
+      "num_tokens": 4475031.0,
+      "step": 2455
+    },
+    {
+      "entropy": 5.8722837448120115,
+      "epoch": 2.0381110190555094,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004809529470388642,
+      "loss": 5.5396,
+      "mean_token_accuracy": 0.1577153742313385,
+      "num_tokens": 4484609.0,
+      "step": 2460
+    },
+    {
+      "entropy": 5.787671709060669,
+      "epoch": 2.0422535211267605,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004808240645464866,
+      "loss": 5.5698,
+      "mean_token_accuracy": 0.15477177649736404,
+      "num_tokens": 4494238.0,
+      "step": 2465
+    },
+    {
+      "entropy": 5.684235668182373,
+      "epoch": 2.0463960231980116,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004806947668844787,
+      "loss": 5.4573,
+      "mean_token_accuracy": 0.16172746568918228,
+      "num_tokens": 4503258.0,
+      "step": 2470
+    },
+    {
+      "entropy": 5.786364412307739,
+      "epoch": 2.0505385252692627,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048056505431364794,
+      "loss": 5.5091,
+      "mean_token_accuracy": 0.15975141078233718,
+      "num_tokens": 4512071.0,
+      "step": 2475
+    },
+    {
+      "entropy": 5.736668491363526,
+      "epoch": 2.054681027340514,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00048043492709563877,
+      "loss": 5.3461,
+      "mean_token_accuracy": 0.17059434503316878,
+      "num_tokens": 4520219.0,
+      "step": 2480
+    },
+    {
+      "entropy": 5.672813034057617,
+      "epoch": 2.0588235294117645,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048030438549293193,
+      "loss": 5.5568,
+      "mean_token_accuracy": 0.15284566581249237,
+      "num_tokens": 4529386.0,
+      "step": 2485
+    },
+    {
+      "entropy": 5.830966377258301,
+      "epoch": 2.0629660314830156,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00048017342976884424,
+      "loss": 5.5638,
+      "mean_token_accuracy": 0.15199215039610864,
+      "num_tokens": 4538860.0,
+      "step": 2490
+    },
+    {
+      "entropy": 5.761076402664185,
+      "epoch": 2.0671085335542667,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048004206018752773,
+      "loss": 5.5299,
+      "mean_token_accuracy": 0.15335657596588134,
+      "num_tokens": 4547842.0,
+      "step": 2495
+    },
+    {
+      "entropy": 5.733208799362183,
+      "epoch": 2.071251035625518,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047991027701396895,
+      "loss": 5.5026,
+      "mean_token_accuracy": 0.15411428660154342,
+      "num_tokens": 4556238.0,
+      "step": 2500
+    },
+    {
+      "epoch": 2.071251035625518,
+      "eval_entropy": 5.642364594473768,
+      "eval_loss": 6.032641410827637,
+      "eval_mean_token_accuracy": 0.1416530203399882,
+      "eval_num_tokens": 4556238.0,
+      "eval_runtime": 2.7817,
+      "eval_samples_per_second": 1347.034,
+      "eval_steps_per_second": 168.604,
+      "step": 2500
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 12060,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 6782076079488000.0,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}
diff --git a/checkpoint-2500/training_args.bin b/checkpoint-2500/training_args.bin
new file mode 100644
index 0000000..47a7b32
--- /dev/null
+++ b/checkpoint-2500/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e406e906697be5d5c4bea7f90a038122ca162eb6b7e40512a32661ef55af9075
+size 6353
diff --git a/checkpoint-3000/added_tokens.json b/checkpoint-3000/added_tokens.json
new file mode 100644
index 0000000..b3dbcdb
--- /dev/null
+++ b/checkpoint-3000/added_tokens.json
@@ -0,0 +1,1202 @@
+{
+  "<pad>": 50002,
+  "[CLS]": 50000,
+  "[MASK]": 50003,
+  "[SEP]": 50001,
+  "[XXXXX0]": 50771,
+  "[XXXXX1000]": 50549,
+  "[XXXXX1001]": 50657,
+  "[XXXXX1002]": 51158,
+  "[XXXXX1003]": 51044,
+  "[XXXXX1004]": 50688,
+  "[XXXXX1005]": 50689,
+  "[XXXXX1006]": 50410,
+  "[XXXXX1007]": 50724,
+  "[XXXXX1008]": 50171,
+  "[XXXXX1009]": 51077,
+  "[XXXXX100]": 50091,
+  "[XXXXX1010]": 50639,
+  "[XXXXX1011]": 51094,
+  "[XXXXX1012]": 50392,
+  "[XXXXX1013]": 50626,
+  "[XXXXX1014]": 50991,
+  "[XXXXX1015]": 50529,
+  "[XXXXX1016]": 51193,
+  "[XXXXX1017]": 51073,
+  "[XXXXX1018]": 51104,
+  "[XXXXX1019]": 50775,
+  "[XXXXX101]": 50139,
+  "[XXXXX1020]": 50157,
+  "[XXXXX1021]": 50934,
+  "[XXXXX1022]": 51159,
+  "[XXXXX1023]": 50048,
+  "[XXXXX1024]": 51123,
+  "[XXXXX1025]": 50084,
+  "[XXXXX1026]": 50813,
+  "[XXXXX1027]": 50725,
+  "[XXXXX1028]": 50931,
+  "[XXXXX1029]": 50233,
+  "[XXXXX102]": 50213,
+  "[XXXXX1030]": 51023,
+  "[XXXXX1031]": 50098,
+  "[XXXXX1032]": 50802,
+  "[XXXXX1033]": 50061,
+  "[XXXXX1034]": 51139,
+  "[XXXXX1035]": 51110,
+  "[XXXXX1036]": 50204,
+  "[XXXXX1037]": 50023,
+  "[XXXXX1038]": 50142,
+  "[XXXXX1039]": 50328,
+  "[XXXXX103]": 50087,
+  "[XXXXX1040]": 50435,
+  "[XXXXX1041]": 50489,
+  "[XXXXX1042]": 50216,
+  "[XXXXX1043]": 50144,
+  "[XXXXX1044]": 50832,
+  "[XXXXX1045]": 50566,
+  "[XXXXX1046]": 50922,
+  "[XXXXX1047]": 50796,
+  "[XXXXX1048]": 50533,
+  "[XXXXX1049]": 50433,
+  "[XXXXX104]": 50478,
+  "[XXXXX1050]": 50953,
+  "[XXXXX1051]": 50497,
+  "[XXXXX1052]": 50655,
+  "[XXXXX1053]": 50881,
+  "[XXXXX1054]": 50461,
+  "[XXXXX1055]": 50052,
+  "[XXXXX1056]": 50219,
+  "[XXXXX1057]": 50789,
+  "[XXXXX1058]": 50121,
+  "[XXXXX1059]": 51002,
+  "[XXXXX105]": 51192,
+  "[XXXXX1060]": 50158,
+  "[XXXXX1061]": 50352,
+  "[XXXXX1062]": 50637,
+  "[XXXXX1063]": 50440,
+  "[XXXXX1064]": 50590,
+  "[XXXXX1065]": 51107,
+  "[XXXXX1066]": 50758,
+  "[XXXXX1067]": 51011,
+  "[XXXXX1068]": 50985,
+  "[XXXXX1069]": 51175,
+  "[XXXXX106]": 50532,
+  "[XXXXX1070]": 50790,
+  "[XXXXX1071]": 50394,
+  "[XXXXX1072]": 50852,
+  "[XXXXX1073]": 50869,
+  "[XXXXX1074]": 50126,
+  "[XXXXX1075]": 50783,
+  "[XXXXX1076]": 50806,
+  "[XXXXX1077]": 50882,
+  "[XXXXX1078]": 50726,
+  "[XXXXX1079]": 51010,
+  "[XXXXX107]": 50714,
+  "[XXXXX1080]": 50168,
+  "[XXXXX1081]": 50425,
+  "[XXXXX1082]": 50848,
+  "[XXXXX1083]": 50014,
+  "[XXXXX1084]": 50341,
+  "[XXXXX1085]": 50734,
+  "[XXXXX1086]": 50664,
+  "[XXXXX1087]": 51007,
+  "[XXXXX1088]": 51151,
+  "[XXXXX1089]": 50269,
+  "[XXXXX108]": 50996,
+  "[XXXXX1090]": 50826,
+  "[XXXXX1091]": 51105,
+  "[XXXXX1092]": 50731,
+  "[XXXXX1093]": 50856,
+  "[XXXXX1094]": 50369,
+  "[XXXXX1095]": 50065,
+  "[XXXXX1096]": 50309,
+  "[XXXXX1097]": 50838,
+  "[XXXXX1098]": 50451,
+  "[XXXXX1099]": 50384,
+  "[XXXXX109]": 50543,
+  "[XXXXX10]": 50325,
+  "[XXXXX1100]": 50318,
+  "[XXXXX1101]": 50764,
+  "[XXXXX1102]": 51025,
+  "[XXXXX1103]": 50642,
+  "[XXXXX1104]": 50665,
+  "[XXXXX1105]": 50855,
+  "[XXXXX1106]": 51063,
+  "[XXXXX1107]": 50025,
+  "[XXXXX1108]": 50122,
+  "[XXXXX1109]": 50470,
+  "[XXXXX110]": 50062,
+  "[XXXXX1110]": 51019,
+  "[XXXXX1111]": 51124,
+  "[XXXXX1112]": 50146,
+  "[XXXXX1113]": 51125,
+  "[XXXXX1114]": 50434,
+  "[XXXXX1115]": 50818,
+  "[XXXXX1116]": 50960,
+  "[XXXXX1117]": 50258,
+  "[XXXXX1118]": 50596,
+  "[XXXXX1119]": 50083,
+  "[XXXXX111]": 51064,
+  "[XXXXX1120]": 50915,
+  "[XXXXX1121]": 50835,
+  "[XXXXX1122]": 51056,
+  "[XXXXX1123]": 50172,
+  "[XXXXX1124]": 50972,
+  "[XXXXX1125]": 50275,
+  "[XXXXX1126]": 50430,
+  "[XXXXX1127]": 50743,
+  "[XXXXX1128]": 50551,
+  "[XXXXX1129]": 50439,
+  "[XXXXX112]": 50819,
+  "[XXXXX1130]": 50536,
+  "[XXXXX1131]": 50622,
+  "[XXXXX1132]": 50623,
+  "[XXXXX1133]": 50117,
+  "[XXXXX1134]": 50251,
+  "[XXXXX1135]": 50678,
+  "[XXXXX1136]": 50316,
+  "[XXXXX1137]": 50905,
+  "[XXXXX1138]": 50992,
+  "[XXXXX1139]": 50851,
+  "[XXXXX113]": 50443,
+  "[XXXXX1140]": 50499,
+  "[XXXXX1141]": 50629,
+  "[XXXXX1142]": 50944,
+  "[XXXXX1143]": 50373,
+  "[XXXXX1144]": 50123,
+  "[XXXXX1145]": 50173,
+  "[XXXXX1146]": 50891,
+  "[XXXXX1147]": 50471,
+  "[XXXXX1148]": 50560,
+  "[XXXXX1149]": 50541,
+  "[XXXXX114]": 50631,
+  "[XXXXX1150]": 50033,
+  "[XXXXX1151]": 50063,
+  "[XXXXX1152]": 50767,
+  "[XXXXX1153]": 50897,
+  "[XXXXX1154]": 50568,
+  "[XXXXX1155]": 51131,
+  "[XXXXX1156]": 50009,
+  "[XXXXX1157]": 50417,
+  "[XXXXX1158]": 50477,
+  "[XXXXX1159]": 50941,
+  "[XXXXX115]": 50294,
+  "[XXXXX1160]": 50679,
+  "[XXXXX1161]": 51108,
+  "[XXXXX1162]": 50332,
+  "[XXXXX1163]": 50424,
+  "[XXXXX1164]": 50473,
+  "[XXXXX1165]": 50793,
+  "[XXXXX1166]": 50453,
+  "[XXXXX1167]": 50807,
+  "[XXXXX1168]": 50128,
+  "[XXXXX1169]": 50039,
+  "[XXXXX116]": 50759,
+  "[XXXXX1170]": 50735,
+  "[XXXXX1171]": 50366,
+  "[XXXXX1172]": 50808,
+  "[XXXXX1173]": 50426,
+  "[XXXXX1174]": 50076,
+  "[XXXXX1175]": 50943,
+  "[XXXXX1176]": 50252,
+  "[XXXXX1177]": 50999,
+  "[XXXXX1178]": 50264,
+  "[XXXXX1179]": 50607,
+  "[XXXXX117]": 51036,
+  "[XXXXX1180]": 50986,
+  "[XXXXX1181]": 50744,
+  "[XXXXX1182]": 50186,
+  "[XXXXX1183]": 50555,
+  "[XXXXX1184]": 51076,
+  "[XXXXX1185]": 50849,
+  "[XXXXX1186]": 51128,
+  "[XXXXX1187]": 50858,
+  "[XXXXX1188]": 50656,
+  "[XXXXX1189]": 50064,
+  "[XXXXX118]": 50081,
+  "[XXXXX1190]": 51197,
+  "[XXXXX1191]": 50104,
+  "[XXXXX1192]": 50045,
+  "[XXXXX1193]": 50404,
+  "[XXXXX1194]": 50690,
+  "[XXXXX1195]": 50495,
+  "[XXXXX119]": 50108,
+  "[XXXXX11]": 50976,
+  "[XXXXX120]": 51081,
+  "[XXXXX121]": 50464,
+  "[XXXXX122]": 50829,
+  "[XXXXX123]": 50766,
+  "[XXXXX124]": 50732,
+  "[XXXXX125]": 50221,
+  "[XXXXX126]": 50810,
+  "[XXXXX127]": 50130,
+  "[XXXXX128]": 50751,
+  "[XXXXX129]": 50662,
+  "[XXXXX12]": 50602,
+  "[XXXXX130]": 50035,
+  "[XXXXX131]": 50715,
+  "[XXXXX132]": 50340,
+  "[XXXXX133]": 50563,
+  "[XXXXX134]": 50993,
+  "[XXXXX135]": 50304,
+  "[XXXXX136]": 50131,
+  "[XXXXX137]": 50578,
+  "[XXXXX138]": 50757,
+  "[XXXXX139]": 50582,
+  "[XXXXX13]": 50105,
+  "[XXXXX140]": 50085,
+  "[XXXXX141]": 50553,
+  "[XXXXX142]": 50749,
+  "[XXXXX143]": 50351,
+  "[XXXXX144]": 51024,
+  "[XXXXX145]": 51144,
+  "[XXXXX146]": 50042,
+  "[XXXXX147]": 50145,
+  "[XXXXX148]": 50066,
+  "[XXXXX149]": 50876,
+  "[XXXXX14]": 51006,
+  "[XXXXX150]": 50280,
+  "[XXXXX151]": 50093,
+  "[XXXXX152]": 50638,
+  "[XXXXX153]": 50684,
+  "[XXXXX154]": 50820,
+  "[XXXXX155]": 51196,
+  "[XXXXX156]": 50317,
+  "[XXXXX157]": 50284,
+  "[XXXXX158]": 50288,
+  "[XXXXX159]": 50814,
+  "[XXXXX15]": 50608,
+  "[XXXXX160]": 50004,
+  "[XXXXX161]": 50008,
+  "[XXXXX162]": 50377,
+  "[XXXXX163]": 50214,
+  "[XXXXX164]": 50708,
+  "[XXXXX165]": 50390,
+  "[XXXXX166]": 50741,
+  "[XXXXX167]": 50445,
+  "[XXXXX168]": 50936,
+  "[XXXXX169]": 50896,
+  "[XXXXX16]": 50442,
+  "[XXXXX170]": 50109,
+  "[XXXXX171]": 50140,
+  "[XXXXX172]": 50427,
+  "[XXXXX173]": 51074,
+  "[XXXXX174]": 50162,
+  "[XXXXX175]": 51015,
+  "[XXXXX176]": 50524,
+  "[XXXXX177]": 50673,
+  "[XXXXX178]": 50054,
+  "[XXXXX179]": 50805,
+  "[XXXXX17]": 50482,
+  "[XXXXX180]": 50253,
+  "[XXXXX181]": 50493,
+  "[XXXXX182]": 50421,
+  "[XXXXX183]": 51050,
+  "[XXXXX184]": 50521,
+  "[XXXXX185]": 50188,
+  "[XXXXX186]": 50147,
+  "[XXXXX187]": 50201,
+  "[XXXXX188]": 50973,
+  "[XXXXX189]": 50409,
+  "[XXXXX18]": 50115,
+  "[XXXXX190]": 50051,
+  "[XXXXX191]": 51020,
+  "[XXXXX192]": 51047,
+  "[XXXXX193]": 50669,
+  "[XXXXX194]": 50643,
+  "[XXXXX195]": 50159,
+  "[XXXXX196]": 50649,
+  "[XXXXX197]": 51178,
+  "[XXXXX198]": 50043,
+  "[XXXXX199]": 51147,
+  "[XXXXX19]": 51127,
+  "[XXXXX1]": 51114,
+  "[XXXXX200]": 50840,
+  "[XXXXX201]": 50365,
+  "[XXXXX202]": 50232,
+  "[XXXXX203]": 50241,
+  "[XXXXX204]": 50548,
+  "[XXXXX205]": 50781,
+  "[XXXXX206]": 50923,
+  "[XXXXX207]": 51115,
+  "[XXXXX208]": 50344,
+  "[XXXXX209]": 50299,
+  "[XXXXX20]": 51031,
+  "[XXXXX210]": 51179,
+  "[XXXXX211]": 51163,
+  "[XXXXX212]": 50562,
+  "[XXXXX213]": 50094,
+  "[XXXXX214]": 50257,
+  "[XXXXX215]": 50967,
+  "[XXXXX216]": 50523,
+  "[XXXXX217]": 51132,
+  "[XXXXX218]": 51146,
+  "[XXXXX219]": 50411,
+  "[XXXXX21]": 50354,
+  "[XXXXX220]": 50853,
+  "[XXXXX221]": 50886,
+  "[XXXXX222]": 50600,
+  "[XXXXX223]": 50873,
+  "[XXXXX224]": 50416,
+  "[XXXXX225]": 50675,
+  "[XXXXX226]": 50583,
+  "[XXXXX227]": 50151,
+  "[XXXXX228]": 50927,
+  "[XXXXX229]": 50609,
+  "[XXXXX22]": 50589,
+  "[XXXXX230]": 50238,
+  "[XXXXX231]": 50242,
+  "[XXXXX232]": 51016,
+  "[XXXXX233]": 50406,
+  "[XXXXX234]": 50908,
+  "[XXXXX235]": 50024,
+  "[XXXXX236]": 50270,
+  "[XXXXX237]": 50132,
+  "[XXXXX238]": 50800,
+  "[XXXXX239]": 50236,
+  "[XXXXX23]": 50007,
+  "[XXXXX240]": 50005,
+  "[XXXXX241]": 50894,
+  "[XXXXX242]": 50694,
+  "[XXXXX243]": 51071,
+  "[XXXXX244]": 51017,
+  "[XXXXX245]": 50068,
+  "[XXXXX246]": 50682,
+  "[XXXXX247]": 50913,
+  "[XXXXX248]": 51028,
+  "[XXXXX249]": 50037,
+  "[XXXXX24]": 51169,
+  "[XXXXX250]": 50747,
+  "[XXXXX251]": 50947,
+  "[XXXXX252]": 50329,
+  "[XXXXX253]": 50612,
+  "[XXXXX254]": 50110,
+  "[XXXXX255]": 50824,
+  "[XXXXX256]": 50558,
+  "[XXXXX257]": 50969,
+  "[XXXXX258]": 50729,
+  "[XXXXX259]": 50125,
+  "[XXXXX25]": 51160,
+  "[XXXXX260]": 50040,
+  "[XXXXX261]": 51038,
+  "[XXXXX262]": 50347,
+  "[XXXXX263]": 50740,
+  "[XXXXX264]": 51195,
+  "[XXXXX265]": 50879,
+  "[XXXXX266]": 50770,
+  "[XXXXX267]": 50178,
+  "[XXXXX268]": 50804,
+  "[XXXXX269]": 50906,
+  "[XXXXX26]": 50150,
+  "[XXXXX270]": 51191,
+  "[XXXXX271]": 50047,
+  "[XXXXX272]": 50195,
+  "[XXXXX273]": 50554,
+  "[XXXXX274]": 50833,
+  "[XXXXX275]": 50346,
+  "[XXXXX276]": 50950,
+  "[XXXXX277]": 50864,
+  "[XXXXX278]": 50259,
+  "[XXXXX279]": 50671,
+  "[XXXXX27]": 50468,
+  "[XXXXX280]": 50082,
+  "[XXXXX281]": 50565,
+  "[XXXXX282]": 50984,
+  "[XXXXX283]": 50650,
+  "[XXXXX284]": 50975,
+  "[XXXXX285]": 50603,
+  "[XXXXX286]": 50027,
+  "[XXXXX287]": 50181,
+  "[XXXXX288]": 50981,
+  "[XXXXX289]": 50885,
+  "[XXXXX28]": 50249,
+  "[XXXXX290]": 50522,
+  "[XXXXX291]": 50050,
+  "[XXXXX292]": 50313,
+  "[XXXXX293]": 50503,
+  "[XXXXX294]": 51176,
+  "[XXXXX295]": 51177,
+  "[XXXXX296]": 50379,
+  "[XXXXX297]": 50635,
+  "[XXXXX298]": 50723,
+  "[XXXXX299]": 50200,
+  "[XXXXX29]": 50892,
+  "[XXXXX2]": 51119,
+  "[XXXXX300]": 51026,
+  "[XXXXX301]": 50528,
+  "[XXXXX302]": 51149,
+  "[XXXXX303]": 50044,
+  "[XXXXX304]": 50209,
+  "[XXXXX305]": 50988,
+  "[XXXXX306]": 50518,
+  "[XXXXX307]": 50088,
+  "[XXXXX308]": 50733,
+  "[XXXXX309]": 51066,
+  "[XXXXX30]": 50506,
+  "[XXXXX310]": 50285,
+  "[XXXXX311]": 50859,
+  "[XXXXX312]": 50263,
+  "[XXXXX313]": 50594,
+  "[XXXXX314]": 51103,
+  "[XXXXX315]": 50871,
+  "[XXXXX316]": 50300,
+  "[XXXXX317]": 50760,
+  "[XXXXX318]": 50055,
+  "[XXXXX319]": 50389,
+  "[XXXXX31]": 50212,
+  "[XXXXX320]": 50444,
+  "[XXXXX321]": 50994,
+  "[XXXXX322]": 50281,
+  "[XXXXX323]": 50179,
+  "[XXXXX324]": 50455,
+  "[XXXXX325]": 50970,
+  "[XXXXX326]": 50666,
+  "[XXXXX327]": 50604,
+  "[XXXXX328]": 50627,
+  "[XXXXX329]": 50475,
+  "[XXXXX32]": 50277,
+  "[XXXXX330]": 50667,
+  "[XXXXX331]": 50348,
+  "[XXXXX332]": 50772,
+  "[XXXXX333]": 50163,
+  "[XXXXX334]": 50569,
+  "[XXXXX335]": 50018,
+  "[XXXXX336]": 50883,
+  "[XXXXX337]": 50067,
+  "[XXXXX338]": 51184,
+  "[XXXXX339]": 50997,
+  "[XXXXX33]": 50403,
+  "[XXXXX340]": 51013,
+  "[XXXXX341]": 50957,
+  "[XXXXX342]": 51106,
+  "[XXXXX343]": 51174,
+  "[XXXXX344]": 50391,
+  "[XXXXX345]": 50948,
+  "[XXXXX346]": 50180,
+  "[XXXXX347]": 50811,
+  "[XXXXX348]": 50401,
+  "[XXXXX349]": 50911,
+  "[XXXXX34]": 50223,
+  "[XXXXX350]": 51089,
+  "[XXXXX351]": 50777,
+  "[XXXXX352]": 50189,
+  "[XXXXX353]": 50492,
+  "[XXXXX354]": 50205,
+  "[XXXXX355]": 50374,
+  "[XXXXX356]": 51152,
+  "[XXXXX357]": 50695,
+  "[XXXXX358]": 51117,
+  "[XXXXX359]": 50573,
+  "[XXXXX35]": 50752,
+  "[XXXXX360]": 50955,
+  "[XXXXX361]": 50349,
+  "[XXXXX362]": 51137,
+  "[XXXXX363]": 50641,
+  "[XXXXX364]": 51148,
+  "[XXXXX365]": 50255,
+  "[XXXXX366]": 50310,
+  "[XXXXX367]": 50314,
+  "[XXXXX368]": 50971,
+  "[XXXXX369]": 50916,
+  "[XXXXX36]": 50437,
+  "[XXXXX370]": 51096,
+  "[XXXXX371]": 50557,
+  "[XXXXX372]": 51095,
+  "[XXXXX373]": 50382,
+  "[XXXXX374]": 50119,
+  "[XXXXX375]": 50958,
+  "[XXXXX376]": 50624,
+  "[XXXXX377]": 50483,
+  "[XXXXX378]": 50605,
+  "[XXXXX379]": 50017,
+  "[XXXXX37]": 50706,
+  "[XXXXX380]": 50246,
+  "[XXXXX381]": 50588,
+  "[XXXXX382]": 51008,
+  "[XXXXX383]": 50801,
+  "[XXXXX384]": 50290,
+  "[XXXXX385]": 50899,
+  "[XXXXX386]": 50206,
+  "[XXXXX387]": 50716,
+  "[XXXXX388]": 51082,
+  "[XXXXX389]": 50177,
+  "[XXXXX38]": 50736,
+  "[XXXXX390]": 50282,
+  "[XXXXX391]": 51183,
+  "[XXXXX392]": 50286,
+  "[XXXXX393]": 50659,
+  "[XXXXX394]": 50378,
+  "[XXXXX395]": 50709,
+  "[XXXXX396]": 50028,
+  "[XXXXX397]": 50235,
+  "[XXXXX398]": 51014,
+  "[XXXXX399]": 50880,
+  "[XXXXX39]": 50305,
+  "[XXXXX3]": 50077,
+  "[XXXXX400]": 50155,
+  "[XXXXX401]": 50710,
+  "[XXXXX402]": 50507,
+  "[XXXXX403]": 50860,
+  "[XXXXX404]": 50661,
+  "[XXXXX405]": 51083,
+  "[XXXXX406]": 50888,
+  "[XXXXX407]": 50069,
+  "[XXXXX408]": 50691,
+  "[XXXXX409]": 51055,
+  "[XXXXX40]": 50337,
+  "[XXXXX410]": 50137,
+  "[XXXXX411]": 50791,
+  "[XXXXX412]": 50136,
+  "[XXXXX413]": 50730,
+  "[XXXXX414]": 50267,
+  "[XXXXX415]": 50012,
+  "[XXXXX416]": 50681,
+  "[XXXXX417]": 50942,
+  "[XXXXX418]": 50720,
+  "[XXXXX419]": 50844,
+  "[XXXXX41]": 50387,
+  "[XXXXX420]": 50111,
+  "[XXXXX421]": 51003,
+  "[XXXXX422]": 50785,
+  "[XXXXX423]": 50149,
+  "[XXXXX424]": 50422,
+  "[XXXXX425]": 51086,
+  "[XXXXX426]": 50862,
+  "[XXXXX427]": 50576,
+  "[XXXXX428]": 51049,
+  "[XXXXX429]": 50630,
+  "[XXXXX42]": 50799,
+  "[XXXXX430]": 50289,
+  "[XXXXX431]": 50184,
+  "[XXXXX432]": 50319,
+  "[XXXXX433]": 51116,
+  "[XXXXX434]": 50519,
+  "[XXXXX435]": 50496,
+  "[XXXXX436]": 50517,
+  "[XXXXX437]": 50865,
+  "[XXXXX438]": 50737,
+  "[XXXXX439]": 50356,
+  "[XXXXX43]": 50359,
+  "[XXXXX440]": 50898,
+  "[XXXXX441]": 50113,
+  "[XXXXX442]": 50527,
+  "[XXXXX443]": 50762,
+  "[XXXXX444]": 50540,
+  "[XXXXX445]": 50925,
+  "[XXXXX446]": 50711,
+  "[XXXXX447]": 50143,
+  "[XXXXX448]": 51170,
+  "[XXXXX449]": 50413,
+  "[XXXXX44]": 50097,
+  "[XXXXX450]": 50375,
+  "[XXXXX451]": 50846,
+  "[XXXXX452]": 50217,
+  "[XXXXX453]": 50699,
+  "[XXXXX454]": 50412,
+  "[XXXXX455]": 50418,
+  "[XXXXX456]": 51143,
+  "[XXXXX457]": 51141,
+  "[XXXXX458]": 51157,
+  "[XXXXX459]": 50825,
+  "[XXXXX45]": 50203,
+  "[XXXXX460]": 50194,
+  "[XXXXX461]": 50148,
+  "[XXXXX462]": 50276,
+  "[XXXXX463]": 50271,
+  "[XXXXX464]": 50836,
+  "[XXXXX465]": 50854,
+  "[XXXXX466]": 50164,
+  "[XXXXX467]": 50484,
+  "[XXXXX468]": 51097,
+  "[XXXXX469]": 50182,
+  "[XXXXX46]": 50505,
+  "[XXXXX470]": 50670,
+  "[XXXXX471]": 50595,
+  "[XXXXX472]": 50237,
+  "[XXXXX473]": 50057,
+  "[XXXXX474]": 50431,
+  "[XXXXX475]": 50738,
+  "[XXXXX476]": 51145,
+  "[XXXXX477]": 50247,
+  "[XXXXX478]": 50029,
+  "[XXXXX479]": 50917,
+  "[XXXXX47]": 50579,
+  "[XXXXX480]": 50702,
+  "[XXXXX481]": 50831,
+  "[XXXXX482]": 50753,
+  "[XXXXX483]": 50598,
+  "[XXXXX484]": 51136,
+  "[XXXXX485]": 50092,
+  "[XXXXX486]": 50202,
+  "[XXXXX487]": 50106,
+  "[XXXXX488]": 50924,
+  "[XXXXX489]": 51113,
+  "[XXXXX48]": 50842,
+  "[XXXXX490]": 50761,
+  "[XXXXX491]": 50577,
+  "[XXXXX492]": 50692,
+  "[XXXXX493]": 51130,
+  "[XXXXX494]": 50932,
+  "[XXXXX495]": 50837,
+  "[XXXXX496]": 50893,
+  "[XXXXX497]": 50773,
+  "[XXXXX498]": 50360,
+  "[XXXXX499]": 50900,
+  "[XXXXX49]": 51062,
+  "[XXXXX4]": 50396,
+  "[XXXXX500]": 51034,
+  "[XXXXX501]": 50472,
+  "[XXXXX502]": 50660,
+  "[XXXXX503]": 50815,
+  "[XXXXX504]": 50939,
+  "[XXXXX505]": 50419,
+  "[XXXXX506]": 50324,
+  "[XXXXX507]": 50428,
+  "[XXXXX508]": 50274,
+  "[XXXXX509]": 50311,
+  "[XXXXX50]": 50459,
+  "[XXXXX510]": 50674,
+  "[XXXXX511]": 50580,
+  "[XXXXX512]": 50956,
+  "[XXXXX513]": 50165,
+  "[XXXXX514]": 50320,
+  "[XXXXX515]": 50648,
+  "[XXXXX516]": 50386,
+  "[XXXXX517]": 50058,
+  "[XXXXX518]": 51045,
+  "[XXXXX519]": 50103,
+  "[XXXXX51]": 50979,
+  "[XXXXX520]": 50530,
+  "[XXXXX521]": 50907,
+  "[XXXXX522]": 50260,
+  "[XXXXX523]": 50632,
+  "[XXXXX524]": 50926,
+  "[XXXXX525]": 50687,
+  "[XXXXX526]": 50160,
+  "[XXXXX527]": 51053,
+  "[XXXXX528]": 50652,
+  "[XXXXX529]": 51041,
+  "[XXXXX52]": 50272,
+  "[XXXXX530]": 51111,
+  "[XXXXX531]": 51009,
+  "[XXXXX532]": 51079,
+  "[XXXXX533]": 50487,
+  "[XXXXX534]": 51059,
+  "[XXXXX535]": 50335,
+  "[XXXXX536]": 50380,
+  "[XXXXX537]": 50301,
+  "[XXXXX538]": 51067,
+  "[XXXXX539]": 51052,
+  "[XXXXX53]": 51048,
+  "[XXXXX540]": 50822,
+  "[XXXXX541]": 51040,
+  "[XXXXX542]": 50490,
+  "[XXXXX543]": 50448,
+  "[XXXXX544]": 50812,
+  "[XXXXX545]": 50099,
+  "[XXXXX546]": 51199,
+  "[XXXXX547]": 50226,
+  "[XXXXX548]": 50538,
+  "[XXXXX549]": 50342,
+  "[XXXXX54]": 50701,
+  "[XXXXX550]": 50544,
+  "[XXXXX551]": 50398,
+  "[XXXXX552]": 51102,
+  "[XXXXX553]": 50919,
+  "[XXXXX554]": 50615,
+  "[XXXXX555]": 50769,
+  "[XXXXX556]": 50940,
+  "[XXXXX557]": 50070,
+  "[XXXXX558]": 50680,
+  "[XXXXX559]": 50611,
+  "[XXXXX55]": 50574,
+  "[XXXXX560]": 50381,
+  "[XXXXX561]": 50350,
+  "[XXXXX562]": 50175,
+  "[XXXXX563]": 50584,
+  "[XXXXX564]": 50703,
+  "[XXXXX565]": 50989,
+  "[XXXXX566]": 50877,
+  "[XXXXX567]": 51039,
+  "[XXXXX568]": 51018,
+  "[XXXXX569]": 50452,
+  "[XXXXX56]": 51099,
+  "[XXXXX570]": 50161,
+  "[XXXXX571]": 50921,
+  "[XXXXX572]": 50676,
+  "[XXXXX573]": 50326,
+  "[XXXXX574]": 50987,
+  "[XXXXX575]": 50361,
+  "[XXXXX576]": 50071,
+  "[XXXXX577]": 50803,
+  "[XXXXX578]": 50400,
+  "[XXXXX579]": 51091,
+  "[XXXXX57]": 50501,
+  "[XXXXX580]": 50887,
+  "[XXXXX581]": 50839,
+  "[XXXXX582]": 51138,
+  "[XXXXX583]": 50816,
+  "[XXXXX584]": 50339,
+  "[XXXXX585]": 50463,
+  "[XXXXX586]": 50399,
+  "[XXXXX587]": 51070,
+  "[XXXXX588]": 50457,
+  "[XXXXX589]": 50828,
+  "[XXXXX58]": 50183,
+  "[XXXXX590]": 50080,
+  "[XXXXX591]": 50550,
+  "[XXXXX592]": 50129,
+  "[XXXXX593]": 50273,
+  "[XXXXX594]": 50388,
+  "[XXXXX595]": 50491,
+  "[XXXXX596]": 50278,
+  "[XXXXX597]": 50011,
+  "[XXXXX598]": 50254,
+  "[XXXXX599]": 50302,
+  "[XXXXX59]": 50353,
+  "[XXXXX5]": 50010,
+  "[XXXXX600]": 50704,
+  "[XXXXX601]": 51118,
+  "[XXXXX602]": 50049,
+  "[XXXXX603]": 51190,
+  "[XXXXX604]": 51142,
+  "[XXXXX605]": 50707,
+  "[XXXXX606]": 50937,
+  "[XXXXX607]": 50875,
+  "[XXXXX608]": 50564,
+  "[XXXXX609]": 50345,
+  "[XXXXX60]": 50713,
+  "[XXXXX610]": 50949,
+  "[XXXXX611]": 50978,
+  "[XXXXX612]": 50330,
+  "[XXXXX613]": 51035,
+  "[XXXXX614]": 50402,
+  "[XXXXX615]": 50176,
+  "[XXXXX616]": 51133,
+  "[XXXXX617]": 50222,
+  "[XXXXX618]": 50118,
+  "[XXXXX619]": 50196,
+  "[XXXXX61]": 50298,
+  "[XXXXX620]": 50668,
+  "[XXXXX621]": 50462,
+  "[XXXXX622]": 50218,
+  "[XXXXX623]": 51101,
+  "[XXXXX624]": 50362,
+  "[XXXXX625]": 50779,
+  "[XXXXX626]": 50513,
+  "[XXXXX627]": 50746,
+  "[XXXXX628]": 50141,
+  "[XXXXX629]": 50479,
+  "[XXXXX62]": 50056,
+  "[XXXXX630]": 51180,
+  "[XXXXX631]": 50872,
+  "[XXXXX632]": 50315,
+  "[XXXXX633]": 50397,
+  "[XXXXX634]": 51165,
+  "[XXXXX635]": 50046,
+  "[XXXXX636]": 50795,
+  "[XXXXX637]": 50959,
+  "[XXXXX638]": 50786,
+  "[XXXXX639]": 50240,
+  "[XXXXX63]": 51061,
+  "[XXXXX640]": 50601,
+  "[XXXXX641]": 50904,
+  "[XXXXX642]": 50376,
+  "[XXXXX643]": 50663,
+  "[XXXXX644]": 50613,
+  "[XXXXX645]": 50467,
+  "[XXXXX646]": 50546,
+  "[XXXXX647]": 50465,
+  "[XXXXX648]": 50395,
+  "[XXXXX649]": 50287,
+  "[XXXXX64]": 51162,
+  "[XXXXX650]": 50474,
+  "[XXXXX651]": 50727,
+  "[XXXXX652]": 50243,
+  "[XXXXX653]": 51100,
+  "[XXXXX654]": 50705,
+  "[XXXXX655]": 51012,
+  "[XXXXX656]": 50447,
+  "[XXXXX657]": 50719,
+  "[XXXXX658]": 50712,
+  "[XXXXX659]": 50476,
+  "[XXXXX65]": 50587,
+  "[XXXXX660]": 51054,
+  "[XXXXX661]": 51166,
+  "[XXXXX662]": 50494,
+  "[XXXXX663]": 50230,
+  "[XXXXX664]": 50621,
+  "[XXXXX665]": 50809,
+  "[XXXXX666]": 50265,
+  "[XXXXX667]": 50645,
+  "[XXXXX668]": 50817,
+  "[XXXXX669]": 50030,
+  "[XXXXX66]": 51029,
+  "[XXXXX670]": 51004,
+  "[XXXXX671]": 50685,
+  "[XXXXX672]": 50625,
+  "[XXXXX673]": 50890,
+  "[XXXXX674]": 50383,
+  "[XXXXX675]": 50929,
+  "[XXXXX676]": 50116,
+  "[XXXXX677]": 51072,
+  "[XXXXX678]": 51126,
+  "[XXXXX679]": 50755,
+  "[XXXXX67]": 50717,
+  "[XXXXX680]": 50303,
+  "[XXXXX681]": 50504,
+  "[XXXXX682]": 51075,
+  "[XXXXX683]": 50261,
+  "[XXXXX684]": 50861,
+  "[XXXXX685]": 50306,
+  "[XXXXX686]": 50016,
+  "[XXXXX687]": 50101,
+  "[XXXXX688]": 51098,
+  "[XXXXX689]": 50827,
+  "[XXXXX68]": 50863,
+  "[XXXXX690]": 50640,
+  "[XXXXX691]": 50031,
+  "[XXXXX692]": 50768,
+  "[XXXXX693]": 50013,
+  "[XXXXX694]": 51032,
+  "[XXXXX695]": 50166,
+  "[XXXXX696]": 50127,
+  "[XXXXX697]": 50414,
+  "[XXXXX698]": 50742,
+  "[XXXXX699]": 51042,
+  "[XXXXX69]": 51112,
+  "[XXXXX6]": 50593,
+  "[XXXXX700]": 50292,
+  "[XXXXX701]": 50174,
+  "[XXXXX702]": 50547,
+  "[XXXXX703]": 50498,
+  "[XXXXX704]": 51078,
+  "[XXXXX705]": 50133,
+  "[XXXXX706]": 50041,
+  "[XXXXX707]": 51181,
+  "[XXXXX708]": 50585,
+  "[XXXXX709]": 50776,
+  "[XXXXX70]": 50053,
+  "[XXXXX710]": 50336,
+  "[XXXXX711]": 50765,
+  "[XXXXX712]": 50224,
+  "[XXXXX713]": 50599,
+  "[XXXXX714]": 50207,
+  "[XXXXX715]": 51043,
+  "[XXXXX716]": 51090,
+  "[XXXXX717]": 50006,
+  "[XXXXX718]": 50901,
+  "[XXXXX719]": 51001,
+  "[XXXXX71]": 50954,
+  "[XXXXX720]": 50646,
+  "[XXXXX721]": 50075,
+  "[XXXXX722]": 51120,
+  "[XXXXX723]": 50215,
+  "[XXXXX724]": 50415,
+  "[XXXXX725]": 50154,
+  "[XXXXX726]": 50935,
+  "[XXXXX727]": 50545,
+  "[XXXXX728]": 51085,
+  "[XXXXX729]": 50256,
+  "[XXXXX72]": 50363,
+  "[XXXXX730]": 50700,
+  "[XXXXX731]": 50262,
+  "[XXXXX732]": 50930,
+  "[XXXXX733]": 50333,
+  "[XXXXX734]": 50884,
+  "[XXXXX735]": 51030,
+  "[XXXXX736]": 50231,
+  "[XXXXX737]": 50405,
+  "[XXXXX738]": 50962,
+  "[XXXXX739]": 50458,
+  "[XXXXX73]": 50019,
+  "[XXXXX740]": 50878,
+  "[XXXXX741]": 50910,
+  "[XXXXX742]": 50170,
+  "[XXXXX743]": 50718,
+  "[XXXXX744]": 50616,
+  "[XXXXX745]": 50358,
+  "[XXXXX746]": 50152,
+  "[XXXXX747]": 50525,
+  "[XXXXX748]": 51167,
+  "[XXXXX749]": 50653,
+  "[XXXXX74]": 50952,
+  "[XXXXX750]": 50500,
+  "[XXXXX751]": 50446,
+  "[XXXXX752]": 50995,
+  "[XXXXX753]": 50945,
+  "[XXXXX754]": 51173,
+  "[XXXXX755]": 50823,
+  "[XXXXX756]": 51060,
+  "[XXXXX757]": 50748,
+  "[XXXXX758]": 50020,
+  "[XXXXX759]": 50197,
+  "[XXXXX75]": 50502,
+  "[XXXXX760]": 50291,
+  "[XXXXX761]": 50821,
+  "[XXXXX762]": 50190,
+  "[XXXXX763]": 50745,
+  "[XXXXX764]": 50778,
+  "[XXXXX765]": 50556,
+  "[XXXXX766]": 51161,
+  "[XXXXX767]": 50466,
+  "[XXXXX768]": 50792,
+  "[XXXXX769]": 50208,
+  "[XXXXX76]": 50169,
+  "[XXXXX770]": 50647,
+  "[XXXXX771]": 50610,
+  "[XXXXX772]": 51140,
+  "[XXXXX773]": 50441,
+  "[XXXXX774]": 50870,
+  "[XXXXX775]": 50368,
+  "[XXXXX776]": 50026,
+  "[XXXXX777]": 50677,
+  "[XXXXX778]": 51168,
+  "[XXXXX779]": 50481,
+  "[XXXXX77]": 50515,
+  "[XXXXX780]": 50225,
+  "[XXXXX781]": 50408,
+  "[XXXXX782]": 50090,
+  "[XXXXX783]": 50951,
+  "[XXXXX784]": 50015,
+  "[XXXXX785]": 50658,
+  "[XXXXX786]": 50617,
+  "[XXXXX787]": 50721,
+  "[XXXXX788]": 51084,
+  "[XXXXX789]": 50830,
+  "[XXXXX78]": 50100,
+  "[XXXXX790]": 50606,
+  "[XXXXX791]": 50124,
+  "[XXXXX792]": 50078,
+  "[XXXXX793]": 51188,
+  "[XXXXX794]": 50750,
+  "[XXXXX795]": 50138,
+  "[XXXXX796]": 50239,
+  "[XXXXX797]": 50385,
+  "[XXXXX798]": 50780,
+  "[XXXXX799]": 50683,
+  "[XXXXX79]": 50436,
+  "[XXXXX7]": 50211,
+  "[XXXXX800]": 51185,
+  "[XXXXX801]": 50250,
+  "[XXXXX802]": 50456,
+  "[XXXXX803]": 50508,
+  "[XXXXX804]": 51194,
+  "[XXXXX805]": 50021,
+  "[XXXXX806]": 50307,
+  "[XXXXX807]": 50199,
+  "[XXXXX808]": 51129,
+  "[XXXXX809]": 50686,
+  "[XXXXX80]": 50370,
+  "[XXXXX810]": 50343,
+  "[XXXXX811]": 50614,
+  "[XXXXX812]": 50636,
+  "[XXXXX813]": 51198,
+  "[XXXXX814]": 50788,
+  "[XXXXX815]": 50120,
+  "[XXXXX816]": 50135,
+  "[XXXXX817]": 50293,
+  "[XXXXX818]": 50153,
+  "[XXXXX819]": 50516,
+  "[XXXXX81]": 50581,
+  "[XXXXX820]": 50586,
+  "[XXXXX821]": 50509,
+  "[XXXXX822]": 50220,
+  "[XXXXX823]": 51068,
+  "[XXXXX824]": 50946,
+  "[XXXXX825]": 50965,
+  "[XXXXX826]": 50032,
+  "[XXXXX827]": 50156,
+  "[XXXXX828]": 50449,
+  "[XXXXX829]": 50531,
+  "[XXXXX82]": 51164,
+  "[XXXXX830]": 50486,
+  "[XXXXX831]": 50357,
+  "[XXXXX832]": 51022,
+  "[XXXXX833]": 50633,
+  "[XXXXX834]": 50754,
+  "[XXXXX835]": 51134,
+  "[XXXXX836]": 50193,
+  "[XXXXX837]": 51088,
+  "[XXXXX838]": 50722,
+  "[XXXXX839]": 50756,
+  "[XXXXX83]": 50977,
+  "[XXXXX840]": 50022,
+  "[XXXXX841]": 51186,
+  "[XXXXX842]": 50575,
+  "[XXXXX843]": 50079,
+  "[XXXXX844]": 50644,
+  "[XXXXX845]": 51033,
+  "[XXXXX846]": 50454,
+  "[XXXXX847]": 50095,
+  "[XXXXX848]": 50902,
+  "[XXXXX849]": 50597,
+  "[XXXXX84]": 50167,
+  "[XXXXX850]": 51051,
+  "[XXXXX851]": 50696,
+  "[XXXXX852]": 50966,
+  "[XXXXX853]": 50034,
+  "[XXXXX854]": 50889,
+  "[XXXXX855]": 50843,
+  "[XXXXX856]": 50963,
+  "[XXXXX857]": 50227,
+  "[XXXXX858]": 51058,
+  "[XXXXX859]": 50850,
+  "[XXXXX85]": 50192,
+  "[XXXXX860]": 50228,
+  "[XXXXX861]": 50570,
+  "[XXXXX862]": 50488,
+  "[XXXXX863]": 50539,
+  "[XXXXX864]": 51182,
+  "[XXXXX865]": 50990,
+  "[XXXXX866]": 50542,
+  "[XXXXX867]": 51069,
+  "[XXXXX868]": 50480,
+  "[XXXXX869]": 50847,
+  "[XXXXX86]": 50874,
+  "[XXXXX870]": 50308,
+  "[XXXXX871]": 50510,
+  "[XXXXX872]": 50423,
+  "[XXXXX873]": 50086,
+  "[XXXXX874]": 50591,
+  "[XXXXX875]": 50728,
+  "[XXXXX876]": 50372,
+  "[XXXXX877]": 50903,
+  "[XXXXX878]": 50868,
+  "[XXXXX879]": 50763,
+  "[XXXXX87]": 50571,
+  "[XXXXX880]": 50096,
+  "[XXXXX881]": 51150,
+  "[XXXXX882]": 50460,
+  "[XXXXX883]": 51087,
+  "[XXXXX884]": 51093,
+  "[XXXXX885]": 50295,
+  "[XXXXX886]": 51037,
+  "[XXXXX887]": 51171,
+  "[XXXXX888]": 50794,
+  "[XXXXX889]": 50628,
+  "[XXXXX88]": 50520,
+  "[XXXXX890]": 51172,
+  "[XXXXX891]": 51046,
+  "[XXXXX892]": 50918,
+  "[XXXXX893]": 50998,
+  "[XXXXX894]": 50371,
+  "[XXXXX895]": 51155,
+  "[XXXXX896]": 50866,
+  "[XXXXX897]": 50229,
+  "[XXXXX898]": 51057,
+  "[XXXXX899]": 50867,
+  "[XXXXX89]": 50537,
+  "[XXXXX8]": 50784,
+  "[XXXXX900]": 50739,
+  "[XXXXX901]": 51080,
+  "[XXXXX902]": 50038,
+  "[XXXXX903]": 50321,
+  "[XXXXX904]": 50774,
+  "[XXXXX905]": 50974,
+  "[XXXXX906]": 50920,
+  "[XXXXX907]": 50469,
+  "[XXXXX908]": 51122,
+  "[XXXXX909]": 51092,
+  "[XXXXX90]": 50514,
+  "[XXXXX910]": 50798,
+  "[XXXXX911]": 50245,
+  "[XXXXX912]": 50367,
+  "[XXXXX913]": 50618,
+  "[XXXXX914]": 50072,
+  "[XXXXX915]": 50450,
+  "[XXXXX916]": 51189,
+  "[XXXXX917]": 50485,
+  "[XXXXX918]": 50283,
+  "[XXXXX919]": 50845,
+  "[XXXXX91]": 50968,
+  "[XXXXX920]": 50429,
+  "[XXXXX921]": 50364,
+  "[XXXXX922]": 50782,
+  "[XXXXX923]": 50534,
+  "[XXXXX924]": 50059,
+  "[XXXXX925]": 50102,
+  "[XXXXX926]": 50185,
+  "[XXXXX927]": 50634,
+  "[XXXXX928]": 50567,
+  "[XXXXX929]": 50895,
+  "[XXXXX92]": 50210,
+  "[XXXXX930]": 50561,
+  "[XXXXX931]": 51021,
+  "[XXXXX932]": 50107,
+  "[XXXXX933]": 50407,
+  "[XXXXX934]": 50654,
+  "[XXXXX935]": 50268,
+  "[XXXXX936]": 51153,
+  "[XXXXX937]": 50552,
+  "[XXXXX938]": 50526,
+  "[XXXXX939]": 50322,
+  "[XXXXX93]": 50912,
+  "[XXXXX940]": 50296,
+  "[XXXXX941]": 50572,
+  "[XXXXX942]": 50393,
+  "[XXXXX943]": 50312,
+  "[XXXXX944]": 50592,
+  "[XXXXX945]": 50982,
+  "[XXXXX946]": 50089,
+  "[XXXXX947]": 50331,
+  "[XXXXX948]": 50279,
+  "[XXXXX949]": 51005,
+  "[XXXXX94]": 50198,
+  "[XXXXX950]": 50114,
+  "[XXXXX951]": 50074,
+  "[XXXXX952]": 50248,
+  "[XXXXX953]": 50857,
+  "[XXXXX954]": 50841,
+  "[XXXXX955]": 51065,
+  "[XXXXX956]": 50234,
+  "[XXXXX957]": 50834,
+  "[XXXXX958]": 50535,
+  "[XXXXX959]": 51109,
+  "[XXXXX95]": 50651,
+  "[XXXXX960]": 50797,
+  "[XXXXX961]": 50914,
+  "[XXXXX962]": 50112,
+  "[XXXXX963]": 50073,
+  "[XXXXX964]": 50559,
+  "[XXXXX965]": 50933,
+  "[XXXXX966]": 50619,
+  "[XXXXX967]": 51187,
+  "[XXXXX968]": 50327,
+  "[XXXXX969]": 50698,
+  "[XXXXX96]": 50420,
+  "[XXXXX970]": 50060,
+  "[XXXXX971]": 50432,
+  "[XXXXX972]": 50620,
+  "[XXXXX973]": 50693,
+  "[XXXXX974]": 50938,
+  "[XXXXX975]": 50983,
+  "[XXXXX976]": 50334,
+  "[XXXXX977]": 50438,
+  "[XXXXX978]": 51154,
+  "[XXXXX979]": 50964,
+  "[XXXXX97]": 50672,
+  "[XXXXX980]": 50511,
+  "[XXXXX981]": 50244,
+  "[XXXXX982]": 50266,
+  "[XXXXX983]": 50134,
+  "[XXXXX984]": 50338,
+  "[XXXXX985]": 51121,
+  "[XXXXX986]": 50323,
+  "[XXXXX987]": 50909,
+  "[XXXXX988]": 51000,
+  "[XXXXX989]": 50036,
+  "[XXXXX98]": 50787,
+  "[XXXXX990]": 50512,
+  "[XXXXX991]": 50191,
+  "[XXXXX992]": 50187,
+  "[XXXXX993]": 51156,
+  "[XXXXX994]": 51135,
+  "[XXXXX995]": 50355,
+  "[XXXXX996]": 51027,
+  "[XXXXX997]": 50297,
+  "[XXXXX998]": 50928,
+  "[XXXXX999]": 50697,
+  "[XXXXX99]": 50980,
+  "[XXXXX9]": 50961
+}
diff --git a/checkpoint-3000/config.json b/checkpoint-3000/config.json
new file mode 100644
index 0000000..000c292
--- /dev/null
+++ b/checkpoint-3000/config.json
@@ -0,0 +1,34 @@
+{
+  "activation_function": "gelu",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50000,
+  "dtype": "bfloat16",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50001,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 512,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": 3072,
+  "n_layer": 12,
+  "n_positions": 512,
+  "pad_token_id": 50002,
+  "prefix": "[CLS]",
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "vocab_size": 51200
+}
diff --git a/checkpoint-3000/generation_config.json b/checkpoint-3000/generation_config.json
new file mode 100644
index 0000000..4c122f0
--- /dev/null
+++ b/checkpoint-3000/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50000,
+  "eos_token_id": [
+    50001
+  ],
+  "pad_token_id": 50002,
+  "transformers_version": "4.56.2"
+}
diff --git a/checkpoint-3000/model.safetensors b/checkpoint-3000/model.safetensors
new file mode 100644
index 0000000..7d58559
--- /dev/null
+++ b/checkpoint-3000/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1607859c40eabc29e53a383926ce57a36bda0d48065571e287faa1129debc4a2
+size 249556672
diff --git a/checkpoint-3000/rng_state.pth b/checkpoint-3000/rng_state.pth
new file mode 100644
index 0000000..ea55853
--- /dev/null
+++ b/checkpoint-3000/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4d9f5eea0f4edd98e94aa95153b2dc206dd108bec636414f7d0cfb2dfd3fdc38
+size 14645
diff --git a/checkpoint-3000/special_tokens_map.json b/checkpoint-3000/special_tokens_map.json
new file mode 100644
index 0000000..c78a835
--- /dev/null
+++ b/checkpoint-3000/special_tokens_map.json
@@ -0,0 +1,1249 @@
+{
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/checkpoint-3000/spiece.model b/checkpoint-3000/spiece.model
new file mode 100644
index 0000000..85d6e93
--- /dev/null
+++ b/checkpoint-3000/spiece.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:762a1e078899c6ba7ef62ef873a57b860c51cc0518791854659b58b4c89742fe
+size 1170764
diff --git a/checkpoint-3000/tokenizer_config.json b/checkpoint-3000/tokenizer_config.json
new file mode 100644
index 0000000..b27d01f
--- /dev/null
+++ b/checkpoint-3000/tokenizer_config.json
@@ -0,0 +1,10825 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50000": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50001": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50002": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50003": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50004": {
+      "content": "[XXXXX160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50005": {
+      "content": "[XXXXX240]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50006": {
+      "content": "[XXXXX717]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50007": {
+      "content": "[XXXXX23]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50008": {
+      "content": "[XXXXX161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50009": {
+      "content": "[XXXXX1156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50010": {
+      "content": "[XXXXX5]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50011": {
+      "content": "[XXXXX597]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50012": {
+      "content": "[XXXXX415]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50013": {
+      "content": "[XXXXX693]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50014": {
+      "content": "[XXXXX1083]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50015": {
+      "content": "[XXXXX784]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50016": {
+      "content": "[XXXXX686]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50017": {
+      "content": "[XXXXX379]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50018": {
+      "content": "[XXXXX335]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50019": {
+      "content": "[XXXXX73]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50020": {
+      "content": "[XXXXX758]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50021": {
+      "content": "[XXXXX805]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50022": {
+      "content": "[XXXXX840]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50023": {
+      "content": "[XXXXX1037]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50024": {
+      "content": "[XXXXX235]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50025": {
+      "content": "[XXXXX1107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50026": {
+      "content": "[XXXXX776]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50027": {
+      "content": "[XXXXX286]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50028": {
+      "content": "[XXXXX396]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50029": {
+      "content": "[XXXXX478]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50030": {
+      "content": "[XXXXX669]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50031": {
+      "content": "[XXXXX691]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50032": {
+      "content": "[XXXXX826]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50033": {
+      "content": "[XXXXX1150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50034": {
+      "content": "[XXXXX853]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50035": {
+      "content": "[XXXXX130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50036": {
+      "content": "[XXXXX989]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50037": {
+      "content": "[XXXXX249]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50038": {
+      "content": "[XXXXX902]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50039": {
+      "content": "[XXXXX1169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50040": {
+      "content": "[XXXXX260]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50041": {
+      "content": "[XXXXX706]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50042": {
+      "content": "[XXXXX146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50043": {
+      "content": "[XXXXX198]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50044": {
+      "content": "[XXXXX303]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50045": {
+      "content": "[XXXXX1192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50046": {
+      "content": "[XXXXX635]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50047": {
+      "content": "[XXXXX271]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50048": {
+      "content": "[XXXXX1023]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50049": {
+      "content": "[XXXXX602]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50050": {
+      "content": "[XXXXX291]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50051": {
+      "content": "[XXXXX190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50052": {
+      "content": "[XXXXX1055]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50053": {
+      "content": "[XXXXX70]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50054": {
+      "content": "[XXXXX178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50055": {
+      "content": "[XXXXX318]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50056": {
+      "content": "[XXXXX62]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50057": {
+      "content": "[XXXXX473]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50058": {
+      "content": "[XXXXX517]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50059": {
+      "content": "[XXXXX924]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50060": {
+      "content": "[XXXXX970]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50061": {
+      "content": "[XXXXX1033]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50062": {
+      "content": "[XXXXX110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50063": {
+      "content": "[XXXXX1151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50064": {
+      "content": "[XXXXX1189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50065": {
+      "content": "[XXXXX1095]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50066": {
+      "content": "[XXXXX148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50067": {
+      "content": "[XXXXX337]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50068": {
+      "content": "[XXXXX245]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50069": {
+      "content": "[XXXXX407]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50070": {
+      "content": "[XXXXX557]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50071": {
+      "content": "[XXXXX576]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50072": {
+      "content": "[XXXXX914]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50073": {
+      "content": "[XXXXX963]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50074": {
+      "content": "[XXXXX951]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50075": {
+      "content": "[XXXXX721]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50076": {
+      "content": "[XXXXX1174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50077": {
+      "content": "[XXXXX3]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50078": {
+      "content": "[XXXXX792]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50079": {
+      "content": "[XXXXX843]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50080": {
+      "content": "[XXXXX590]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50081": {
+      "content": "[XXXXX118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50082": {
+      "content": "[XXXXX280]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50083": {
+      "content": "[XXXXX1119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50084": {
+      "content": "[XXXXX1025]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50085": {
+      "content": "[XXXXX140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50086": {
+      "content": "[XXXXX873]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50087": {
+      "content": "[XXXXX103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50088": {
+      "content": "[XXXXX307]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50089": {
+      "content": "[XXXXX946]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50090": {
+      "content": "[XXXXX782]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50091": {
+      "content": "[XXXXX100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50092": {
+      "content": "[XXXXX485]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50093": {
+      "content": "[XXXXX151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50094": {
+      "content": "[XXXXX213]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50095": {
+      "content": "[XXXXX847]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50096": {
+      "content": "[XXXXX880]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50097": {
+      "content": "[XXXXX44]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50098": {
+      "content": "[XXXXX1031]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50099": {
+      "content": "[XXXXX545]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50100": {
+      "content": "[XXXXX78]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50101": {
+      "content": "[XXXXX687]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50102": {
+      "content": "[XXXXX925]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50103": {
+      "content": "[XXXXX519]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50104": {
+      "content": "[XXXXX1191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50105": {
+      "content": "[XXXXX13]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50106": {
+      "content": "[XXXXX487]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50107": {
+      "content": "[XXXXX932]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50108": {
+      "content": "[XXXXX119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50109": {
+      "content": "[XXXXX170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50110": {
+      "content": "[XXXXX254]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50111": {
+      "content": "[XXXXX420]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50112": {
+      "content": "[XXXXX962]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50113": {
+      "content": "[XXXXX441]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50114": {
+      "content": "[XXXXX950]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50115": {
+      "content": "[XXXXX18]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50116": {
+      "content": "[XXXXX676]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50117": {
+      "content": "[XXXXX1133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50118": {
+      "content": "[XXXXX618]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50119": {
+      "content": "[XXXXX374]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50120": {
+      "content": "[XXXXX815]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50121": {
+      "content": "[XXXXX1058]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50122": {
+      "content": "[XXXXX1108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50123": {
+      "content": "[XXXXX1144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50124": {
+      "content": "[XXXXX791]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50125": {
+      "content": "[XXXXX259]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50126": {
+      "content": "[XXXXX1074]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50127": {
+      "content": "[XXXXX696]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50128": {
+      "content": "[XXXXX1168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50129": {
+      "content": "[XXXXX592]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50130": {
+      "content": "[XXXXX127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50131": {
+      "content": "[XXXXX136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50132": {
+      "content": "[XXXXX237]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50133": {
+      "content": "[XXXXX705]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50134": {
+      "content": "[XXXXX983]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50135": {
+      "content": "[XXXXX816]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50136": {
+      "content": "[XXXXX412]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50137": {
+      "content": "[XXXXX410]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50138": {
+      "content": "[XXXXX795]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50139": {
+      "content": "[XXXXX101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50140": {
+      "content": "[XXXXX171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50141": {
+      "content": "[XXXXX628]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50142": {
+      "content": "[XXXXX1038]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50143": {
+      "content": "[XXXXX447]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50144": {
+      "content": "[XXXXX1043]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50145": {
+      "content": "[XXXXX147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50146": {
+      "content": "[XXXXX1112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50147": {
+      "content": "[XXXXX186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50148": {
+      "content": "[XXXXX461]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50149": {
+      "content": "[XXXXX423]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50150": {
+      "content": "[XXXXX26]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50151": {
+      "content": "[XXXXX227]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50152": {
+      "content": "[XXXXX746]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50153": {
+      "content": "[XXXXX818]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50154": {
+      "content": "[XXXXX725]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50155": {
+      "content": "[XXXXX400]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50156": {
+      "content": "[XXXXX827]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50157": {
+      "content": "[XXXXX1020]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50158": {
+      "content": "[XXXXX1060]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50159": {
+      "content": "[XXXXX195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50160": {
+      "content": "[XXXXX526]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50161": {
+      "content": "[XXXXX570]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50162": {
+      "content": "[XXXXX174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50163": {
+      "content": "[XXXXX333]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50164": {
+      "content": "[XXXXX466]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50165": {
+      "content": "[XXXXX513]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50166": {
+      "content": "[XXXXX695]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50167": {
+      "content": "[XXXXX84]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50168": {
+      "content": "[XXXXX1080]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50169": {
+      "content": "[XXXXX76]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50170": {
+      "content": "[XXXXX742]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50171": {
+      "content": "[XXXXX1008]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50172": {
+      "content": "[XXXXX1123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50173": {
+      "content": "[XXXXX1145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50174": {
+      "content": "[XXXXX701]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50175": {
+      "content": "[XXXXX562]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50176": {
+      "content": "[XXXXX615]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50177": {
+      "content": "[XXXXX389]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50178": {
+      "content": "[XXXXX267]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50179": {
+      "content": "[XXXXX323]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50180": {
+      "content": "[XXXXX346]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50181": {
+      "content": "[XXXXX287]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50182": {
+      "content": "[XXXXX469]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50183": {
+      "content": "[XXXXX58]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50184": {
+      "content": "[XXXXX431]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50185": {
+      "content": "[XXXXX926]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50186": {
+      "content": "[XXXXX1182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50187": {
+      "content": "[XXXXX992]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50188": {
+      "content": "[XXXXX185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50189": {
+      "content": "[XXXXX352]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50190": {
+      "content": "[XXXXX762]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50191": {
+      "content": "[XXXXX991]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50192": {
+      "content": "[XXXXX85]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50193": {
+      "content": "[XXXXX836]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50194": {
+      "content": "[XXXXX460]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50195": {
+      "content": "[XXXXX272]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50196": {
+      "content": "[XXXXX619]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50197": {
+      "content": "[XXXXX759]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50198": {
+      "content": "[XXXXX94]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50199": {
+      "content": "[XXXXX807]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50200": {
+      "content": "[XXXXX299]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50201": {
+      "content": "[XXXXX187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50202": {
+      "content": "[XXXXX486]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50203": {
+      "content": "[XXXXX45]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50204": {
+      "content": "[XXXXX1036]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50205": {
+      "content": "[XXXXX354]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50206": {
+      "content": "[XXXXX386]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50207": {
+      "content": "[XXXXX714]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50208": {
+      "content": "[XXXXX769]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50209": {
+      "content": "[XXXXX304]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50210": {
+      "content": "[XXXXX92]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50211": {
+      "content": "[XXXXX7]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50212": {
+      "content": "[XXXXX31]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50213": {
+      "content": "[XXXXX102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50214": {
+      "content": "[XXXXX163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50215": {
+      "content": "[XXXXX723]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50216": {
+      "content": "[XXXXX1042]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50217": {
+      "content": "[XXXXX452]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50218": {
+      "content": "[XXXXX622]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50219": {
+      "content": "[XXXXX1056]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50220": {
+      "content": "[XXXXX822]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50221": {
+      "content": "[XXXXX125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50222": {
+      "content": "[XXXXX617]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50223": {
+      "content": "[XXXXX34]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50224": {
+      "content": "[XXXXX712]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50225": {
+      "content": "[XXXXX780]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50226": {
+      "content": "[XXXXX547]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50227": {
+      "content": "[XXXXX857]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50228": {
+      "content": "[XXXXX860]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50229": {
+      "content": "[XXXXX897]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50230": {
+      "content": "[XXXXX663]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50231": {
+      "content": "[XXXXX736]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50232": {
+      "content": "[XXXXX202]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50233": {
+      "content": "[XXXXX1029]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50234": {
+      "content": "[XXXXX956]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50235": {
+      "content": "[XXXXX397]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50236": {
+      "content": "[XXXXX239]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50237": {
+      "content": "[XXXXX472]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50238": {
+      "content": "[XXXXX230]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50239": {
+      "content": "[XXXXX796]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50240": {
+      "content": "[XXXXX639]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50241": {
+      "content": "[XXXXX203]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50242": {
+      "content": "[XXXXX231]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50243": {
+      "content": "[XXXXX652]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50244": {
+      "content": "[XXXXX981]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50245": {
+      "content": "[XXXXX911]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50246": {
+      "content": "[XXXXX380]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50247": {
+      "content": "[XXXXX477]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50248": {
+      "content": "[XXXXX952]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50249": {
+      "content": "[XXXXX28]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50250": {
+      "content": "[XXXXX801]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50251": {
+      "content": "[XXXXX1134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50252": {
+      "content": "[XXXXX1176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50253": {
+      "content": "[XXXXX180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50254": {
+      "content": "[XXXXX598]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50255": {
+      "content": "[XXXXX365]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50256": {
+      "content": "[XXXXX729]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50257": {
+      "content": "[XXXXX214]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50258": {
+      "content": "[XXXXX1117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50259": {
+      "content": "[XXXXX278]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50260": {
+      "content": "[XXXXX522]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50261": {
+      "content": "[XXXXX683]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50262": {
+      "content": "[XXXXX731]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50263": {
+      "content": "[XXXXX312]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "[XXXXX1178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50265": {
+      "content": "[XXXXX666]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50266": {
+      "content": "[XXXXX982]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50267": {
+      "content": "[XXXXX414]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50268": {
+      "content": "[XXXXX935]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50269": {
+      "content": "[XXXXX1089]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50270": {
+      "content": "[XXXXX236]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50271": {
+      "content": "[XXXXX463]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50272": {
+      "content": "[XXXXX52]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50273": {
+      "content": "[XXXXX593]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50274": {
+      "content": "[XXXXX508]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50275": {
+      "content": "[XXXXX1125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50276": {
+      "content": "[XXXXX462]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50277": {
+      "content": "[XXXXX32]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50278": {
+      "content": "[XXXXX596]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50279": {
+      "content": "[XXXXX948]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50280": {
+      "content": "[XXXXX150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50281": {
+      "content": "[XXXXX322]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50282": {
+      "content": "[XXXXX390]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50283": {
+      "content": "[XXXXX918]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50284": {
+      "content": "[XXXXX157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50285": {
+      "content": "[XXXXX310]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50286": {
+      "content": "[XXXXX392]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50287": {
+      "content": "[XXXXX649]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50288": {
+      "content": "[XXXXX158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50289": {
+      "content": "[XXXXX430]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50290": {
+      "content": "[XXXXX384]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50291": {
+      "content": "[XXXXX760]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50292": {
+      "content": "[XXXXX700]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50293": {
+      "content": "[XXXXX817]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50294": {
+      "content": "[XXXXX115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50295": {
+      "content": "[XXXXX885]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50296": {
+      "content": "[XXXXX940]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50297": {
+      "content": "[XXXXX997]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50298": {
+      "content": "[XXXXX61]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50299": {
+      "content": "[XXXXX209]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50300": {
+      "content": "[XXXXX316]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50301": {
+      "content": "[XXXXX537]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50302": {
+      "content": "[XXXXX599]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50303": {
+      "content": "[XXXXX680]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50304": {
+      "content": "[XXXXX135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50305": {
+      "content": "[XXXXX39]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50306": {
+      "content": "[XXXXX685]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50307": {
+      "content": "[XXXXX806]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50308": {
+      "content": "[XXXXX870]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50309": {
+      "content": "[XXXXX1096]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50310": {
+      "content": "[XXXXX366]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50311": {
+      "content": "[XXXXX509]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50312": {
+      "content": "[XXXXX943]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50313": {
+      "content": "[XXXXX292]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50314": {
+      "content": "[XXXXX367]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50315": {
+      "content": "[XXXXX632]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50316": {
+      "content": "[XXXXX1136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50317": {
+      "content": "[XXXXX156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50318": {
+      "content": "[XXXXX1100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50319": {
+      "content": "[XXXXX432]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50320": {
+      "content": "[XXXXX514]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50321": {
+      "content": "[XXXXX903]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50322": {
+      "content": "[XXXXX939]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50323": {
+      "content": "[XXXXX986]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50324": {
+      "content": "[XXXXX506]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50325": {
+      "content": "[XXXXX10]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50326": {
+      "content": "[XXXXX573]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50327": {
+      "content": "[XXXXX968]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50328": {
+      "content": "[XXXXX1039]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50329": {
+      "content": "[XXXXX252]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50330": {
+      "content": "[XXXXX612]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50331": {
+      "content": "[XXXXX947]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50332": {
+      "content": "[XXXXX1162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50333": {
+      "content": "[XXXXX733]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50334": {
+      "content": "[XXXXX976]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50335": {
+      "content": "[XXXXX535]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50336": {
+      "content": "[XXXXX710]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50337": {
+      "content": "[XXXXX40]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50338": {
+      "content": "[XXXXX984]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50339": {
+      "content": "[XXXXX584]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50340": {
+      "content": "[XXXXX132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50341": {
+      "content": "[XXXXX1084]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50342": {
+      "content": "[XXXXX549]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50343": {
+      "content": "[XXXXX810]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50344": {
+      "content": "[XXXXX208]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50345": {
+      "content": "[XXXXX609]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50346": {
+      "content": "[XXXXX275]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50347": {
+      "content": "[XXXXX262]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50348": {
+      "content": "[XXXXX331]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50349": {
+      "content": "[XXXXX361]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50350": {
+      "content": "[XXXXX561]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50351": {
+      "content": "[XXXXX143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50352": {
+      "content": "[XXXXX1061]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50353": {
+      "content": "[XXXXX59]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50354": {
+      "content": "[XXXXX21]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50355": {
+      "content": "[XXXXX995]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50356": {
+      "content": "[XXXXX439]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50357": {
+      "content": "[XXXXX831]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50358": {
+      "content": "[XXXXX745]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50359": {
+      "content": "[XXXXX43]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50360": {
+      "content": "[XXXXX498]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50361": {
+      "content": "[XXXXX575]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50362": {
+      "content": "[XXXXX624]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50363": {
+      "content": "[XXXXX72]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50364": {
+      "content": "[XXXXX921]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50365": {
+      "content": "[XXXXX201]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50366": {
+      "content": "[XXXXX1171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50367": {
+      "content": "[XXXXX912]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50368": {
+      "content": "[XXXXX775]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50369": {
+      "content": "[XXXXX1094]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50370": {
+      "content": "[XXXXX80]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50371": {
+      "content": "[XXXXX894]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50372": {
+      "content": "[XXXXX876]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50373": {
+      "content": "[XXXXX1143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50374": {
+      "content": "[XXXXX355]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50375": {
+      "content": "[XXXXX450]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50376": {
+      "content": "[XXXXX642]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50377": {
+      "content": "[XXXXX162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50378": {
+      "content": "[XXXXX394]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50379": {
+      "content": "[XXXXX296]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50380": {
+      "content": "[XXXXX536]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50381": {
+      "content": "[XXXXX560]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50382": {
+      "content": "[XXXXX373]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50383": {
+      "content": "[XXXXX674]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50384": {
+      "content": "[XXXXX1099]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50385": {
+      "content": "[XXXXX797]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50386": {
+      "content": "[XXXXX516]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50387": {
+      "content": "[XXXXX41]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50388": {
+      "content": "[XXXXX594]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50389": {
+      "content": "[XXXXX319]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50390": {
+      "content": "[XXXXX165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50391": {
+      "content": "[XXXXX344]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50392": {
+      "content": "[XXXXX1012]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50393": {
+      "content": "[XXXXX942]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50394": {
+      "content": "[XXXXX1071]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50395": {
+      "content": "[XXXXX648]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50396": {
+      "content": "[XXXXX4]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50397": {
+      "content": "[XXXXX633]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50398": {
+      "content": "[XXXXX551]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50399": {
+      "content": "[XXXXX586]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50400": {
+      "content": "[XXXXX578]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50401": {
+      "content": "[XXXXX348]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50402": {
+      "content": "[XXXXX614]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50403": {
+      "content": "[XXXXX33]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50404": {
+      "content": "[XXXXX1193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50405": {
+      "content": "[XXXXX737]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50406": {
+      "content": "[XXXXX233]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50407": {
+      "content": "[XXXXX933]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50408": {
+      "content": "[XXXXX781]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50409": {
+      "content": "[XXXXX189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50410": {
+      "content": "[XXXXX1006]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50411": {
+      "content": "[XXXXX219]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50412": {
+      "content": "[XXXXX454]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50413": {
+      "content": "[XXXXX449]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50414": {
+      "content": "[XXXXX697]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50415": {
+      "content": "[XXXXX724]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50416": {
+      "content": "[XXXXX224]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50417": {
+      "content": "[XXXXX1157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50418": {
+      "content": "[XXXXX455]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50419": {
+      "content": "[XXXXX505]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50420": {
+      "content": "[XXXXX96]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50421": {
+      "content": "[XXXXX182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50422": {
+      "content": "[XXXXX424]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50423": {
+      "content": "[XXXXX872]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50424": {
+      "content": "[XXXXX1163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50425": {
+      "content": "[XXXXX1081]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50426": {
+      "content": "[XXXXX1173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50427": {
+      "content": "[XXXXX172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50428": {
+      "content": "[XXXXX507]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50429": {
+      "content": "[XXXXX920]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50430": {
+      "content": "[XXXXX1126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50431": {
+      "content": "[XXXXX474]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50432": {
+      "content": "[XXXXX971]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50433": {
+      "content": "[XXXXX1049]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50434": {
+      "content": "[XXXXX1114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50435": {
+      "content": "[XXXXX1040]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50436": {
+      "content": "[XXXXX79]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50437": {
+      "content": "[XXXXX36]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50438": {
+      "content": "[XXXXX977]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50439": {
+      "content": "[XXXXX1129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50440": {
+      "content": "[XXXXX1063]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50441": {
+      "content": "[XXXXX773]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50442": {
+      "content": "[XXXXX16]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50443": {
+      "content": "[XXXXX113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50444": {
+      "content": "[XXXXX320]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50445": {
+      "content": "[XXXXX167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50446": {
+      "content": "[XXXXX751]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50447": {
+      "content": "[XXXXX656]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50448": {
+      "content": "[XXXXX543]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50449": {
+      "content": "[XXXXX828]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50450": {
+      "content": "[XXXXX915]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50451": {
+      "content": "[XXXXX1098]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50452": {
+      "content": "[XXXXX569]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50453": {
+      "content": "[XXXXX1166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50454": {
+      "content": "[XXXXX846]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50455": {
+      "content": "[XXXXX324]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50456": {
+      "content": "[XXXXX802]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50457": {
+      "content": "[XXXXX588]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50458": {
+      "content": "[XXXXX739]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50459": {
+      "content": "[XXXXX50]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50460": {
+      "content": "[XXXXX882]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50461": {
+      "content": "[XXXXX1054]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50462": {
+      "content": "[XXXXX621]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50463": {
+      "content": "[XXXXX585]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50464": {
+      "content": "[XXXXX121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50465": {
+      "content": "[XXXXX647]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50466": {
+      "content": "[XXXXX767]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50467": {
+      "content": "[XXXXX645]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50468": {
+      "content": "[XXXXX27]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50469": {
+      "content": "[XXXXX907]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50470": {
+      "content": "[XXXXX1109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50471": {
+      "content": "[XXXXX1147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50472": {
+      "content": "[XXXXX501]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50473": {
+      "content": "[XXXXX1164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50474": {
+      "content": "[XXXXX650]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50475": {
+      "content": "[XXXXX329]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50476": {
+      "content": "[XXXXX659]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50477": {
+      "content": "[XXXXX1158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50478": {
+      "content": "[XXXXX104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50479": {
+      "content": "[XXXXX629]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50480": {
+      "content": "[XXXXX868]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50481": {
+      "content": "[XXXXX779]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50482": {
+      "content": "[XXXXX17]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50483": {
+      "content": "[XXXXX377]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50484": {
+      "content": "[XXXXX467]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50485": {
+      "content": "[XXXXX917]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50486": {
+      "content": "[XXXXX830]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50487": {
+      "content": "[XXXXX533]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50488": {
+      "content": "[XXXXX862]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50489": {
+      "content": "[XXXXX1041]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50490": {
+      "content": "[XXXXX542]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50491": {
+      "content": "[XXXXX595]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50492": {
+      "content": "[XXXXX353]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50493": {
+      "content": "[XXXXX181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50494": {
+      "content": "[XXXXX662]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50495": {
+      "content": "[XXXXX1195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50496": {
+      "content": "[XXXXX435]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50497": {
+      "content": "[XXXXX1051]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50498": {
+      "content": "[XXXXX703]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50499": {
+      "content": "[XXXXX1140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50500": {
+      "content": "[XXXXX750]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50501": {
+      "content": "[XXXXX57]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50502": {
+      "content": "[XXXXX75]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50503": {
+      "content": "[XXXXX293]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50504": {
+      "content": "[XXXXX681]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50505": {
+      "content": "[XXXXX46]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50506": {
+      "content": "[XXXXX30]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50507": {
+      "content": "[XXXXX402]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50508": {
+      "content": "[XXXXX803]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50509": {
+      "content": "[XXXXX821]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50510": {
+      "content": "[XXXXX871]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50511": {
+      "content": "[XXXXX980]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50512": {
+      "content": "[XXXXX990]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50513": {
+      "content": "[XXXXX626]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50514": {
+      "content": "[XXXXX90]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50515": {
+      "content": "[XXXXX77]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50516": {
+      "content": "[XXXXX819]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50517": {
+      "content": "[XXXXX436]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50518": {
+      "content": "[XXXXX306]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50519": {
+      "content": "[XXXXX434]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50520": {
+      "content": "[XXXXX88]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50521": {
+      "content": "[XXXXX184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50522": {
+      "content": "[XXXXX290]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50523": {
+      "content": "[XXXXX216]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50524": {
+      "content": "[XXXXX176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50525": {
+      "content": "[XXXXX747]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50526": {
+      "content": "[XXXXX938]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50527": {
+      "content": "[XXXXX442]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50528": {
+      "content": "[XXXXX301]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50529": {
+      "content": "[XXXXX1015]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50530": {
+      "content": "[XXXXX520]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50531": {
+      "content": "[XXXXX829]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50532": {
+      "content": "[XXXXX106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50533": {
+      "content": "[XXXXX1048]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50534": {
+      "content": "[XXXXX923]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50535": {
+      "content": "[XXXXX958]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50536": {
+      "content": "[XXXXX1130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50537": {
+      "content": "[XXXXX89]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50538": {
+      "content": "[XXXXX548]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50539": {
+      "content": "[XXXXX863]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50540": {
+      "content": "[XXXXX444]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50541": {
+      "content": "[XXXXX1149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50542": {
+      "content": "[XXXXX866]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50543": {
+      "content": "[XXXXX109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50544": {
+      "content": "[XXXXX550]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50545": {
+      "content": "[XXXXX727]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50546": {
+      "content": "[XXXXX646]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50547": {
+      "content": "[XXXXX702]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50548": {
+      "content": "[XXXXX204]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50549": {
+      "content": "[XXXXX1000]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50550": {
+      "content": "[XXXXX591]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50551": {
+      "content": "[XXXXX1128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50552": {
+      "content": "[XXXXX937]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50553": {
+      "content": "[XXXXX141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50554": {
+      "content": "[XXXXX273]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50555": {
+      "content": "[XXXXX1183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50556": {
+      "content": "[XXXXX765]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50557": {
+      "content": "[XXXXX371]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50558": {
+      "content": "[XXXXX256]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50559": {
+      "content": "[XXXXX964]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50560": {
+      "content": "[XXXXX1148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50561": {
+      "content": "[XXXXX930]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50562": {
+      "content": "[XXXXX212]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50563": {
+      "content": "[XXXXX133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50564": {
+      "content": "[XXXXX608]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50565": {
+      "content": "[XXXXX281]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50566": {
+      "content": "[XXXXX1045]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50567": {
+      "content": "[XXXXX928]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50568": {
+      "content": "[XXXXX1154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50569": {
+      "content": "[XXXXX334]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50570": {
+      "content": "[XXXXX861]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50571": {
+      "content": "[XXXXX87]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50572": {
+      "content": "[XXXXX941]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50573": {
+      "content": "[XXXXX359]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50574": {
+      "content": "[XXXXX55]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50575": {
+      "content": "[XXXXX842]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50576": {
+      "content": "[XXXXX427]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50577": {
+      "content": "[XXXXX491]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50578": {
+      "content": "[XXXXX137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50579": {
+      "content": "[XXXXX47]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50580": {
+      "content": "[XXXXX511]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50581": {
+      "content": "[XXXXX81]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50582": {
+      "content": "[XXXXX139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50583": {
+      "content": "[XXXXX226]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50584": {
+      "content": "[XXXXX563]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50585": {
+      "content": "[XXXXX708]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50586": {
+      "content": "[XXXXX820]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50587": {
+      "content": "[XXXXX65]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50588": {
+      "content": "[XXXXX381]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50589": {
+      "content": "[XXXXX22]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50590": {
+      "content": "[XXXXX1064]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50591": {
+      "content": "[XXXXX874]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50592": {
+      "content": "[XXXXX944]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50593": {
+      "content": "[XXXXX6]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50594": {
+      "content": "[XXXXX313]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50595": {
+      "content": "[XXXXX471]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50596": {
+      "content": "[XXXXX1118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50597": {
+      "content": "[XXXXX849]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50598": {
+      "content": "[XXXXX483]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50599": {
+      "content": "[XXXXX713]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50600": {
+      "content": "[XXXXX222]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50601": {
+      "content": "[XXXXX640]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50602": {
+      "content": "[XXXXX12]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50603": {
+      "content": "[XXXXX285]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50604": {
+      "content": "[XXXXX327]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50605": {
+      "content": "[XXXXX378]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50606": {
+      "content": "[XXXXX790]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50607": {
+      "content": "[XXXXX1179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50608": {
+      "content": "[XXXXX15]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50609": {
+      "content": "[XXXXX229]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50610": {
+      "content": "[XXXXX771]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50611": {
+      "content": "[XXXXX559]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50612": {
+      "content": "[XXXXX253]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50613": {
+      "content": "[XXXXX644]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50614": {
+      "content": "[XXXXX811]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50615": {
+      "content": "[XXXXX554]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50616": {
+      "content": "[XXXXX744]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50617": {
+      "content": "[XXXXX786]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50618": {
+      "content": "[XXXXX913]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50619": {
+      "content": "[XXXXX966]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50620": {
+      "content": "[XXXXX972]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50621": {
+      "content": "[XXXXX664]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50622": {
+      "content": "[XXXXX1131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50623": {
+      "content": "[XXXXX1132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50624": {
+      "content": "[XXXXX376]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50625": {
+      "content": "[XXXXX672]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50626": {
+      "content": "[XXXXX1013]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50627": {
+      "content": "[XXXXX328]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50628": {
+      "content": "[XXXXX889]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50629": {
+      "content": "[XXXXX1141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50630": {
+      "content": "[XXXXX429]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50631": {
+      "content": "[XXXXX114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50632": {
+      "content": "[XXXXX523]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50633": {
+      "content": "[XXXXX833]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50634": {
+      "content": "[XXXXX927]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50635": {
+      "content": "[XXXXX297]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50636": {
+      "content": "[XXXXX812]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50637": {
+      "content": "[XXXXX1062]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50638": {
+      "content": "[XXXXX152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50639": {
+      "content": "[XXXXX1010]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50640": {
+      "content": "[XXXXX690]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50641": {
+      "content": "[XXXXX363]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50642": {
+      "content": "[XXXXX1103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50643": {
+      "content": "[XXXXX194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50644": {
+      "content": "[XXXXX844]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50645": {
+      "content": "[XXXXX667]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50646": {
+      "content": "[XXXXX720]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50647": {
+      "content": "[XXXXX770]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50648": {
+      "content": "[XXXXX515]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50649": {
+      "content": "[XXXXX196]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50650": {
+      "content": "[XXXXX283]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50651": {
+      "content": "[XXXXX95]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50652": {
+      "content": "[XXXXX528]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50653": {
+      "content": "[XXXXX749]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50654": {
+      "content": "[XXXXX934]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50655": {
+      "content": "[XXXXX1052]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50656": {
+      "content": "[XXXXX1188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50657": {
+      "content": "[XXXXX1001]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50658": {
+      "content": "[XXXXX785]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50659": {
+      "content": "[XXXXX393]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50660": {
+      "content": "[XXXXX502]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50661": {
+      "content": "[XXXXX404]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50662": {
+      "content": "[XXXXX129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50663": {
+      "content": "[XXXXX643]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50664": {
+      "content": "[XXXXX1086]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50665": {
+      "content": "[XXXXX1104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50666": {
+      "content": "[XXXXX326]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50667": {
+      "content": "[XXXXX330]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50668": {
+      "content": "[XXXXX620]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50669": {
+      "content": "[XXXXX193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50670": {
+      "content": "[XXXXX470]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50671": {
+      "content": "[XXXXX279]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50672": {
+      "content": "[XXXXX97]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50673": {
+      "content": "[XXXXX177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50674": {
+      "content": "[XXXXX510]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50675": {
+      "content": "[XXXXX225]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50676": {
+      "content": "[XXXXX572]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50677": {
+      "content": "[XXXXX777]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50678": {
+      "content": "[XXXXX1135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50679": {
+      "content": "[XXXXX1160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50680": {
+      "content": "[XXXXX558]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50681": {
+      "content": "[XXXXX416]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50682": {
+      "content": "[XXXXX246]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50683": {
+      "content": "[XXXXX799]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50684": {
+      "content": "[XXXXX153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50685": {
+      "content": "[XXXXX671]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50686": {
+      "content": "[XXXXX809]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50687": {
+      "content": "[XXXXX525]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50688": {
+      "content": "[XXXXX1004]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50689": {
+      "content": "[XXXXX1005]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50690": {
+      "content": "[XXXXX1194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50691": {
+      "content": "[XXXXX408]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50692": {
+      "content": "[XXXXX492]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50693": {
+      "content": "[XXXXX973]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50694": {
+      "content": "[XXXXX242]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50695": {
+      "content": "[XXXXX357]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50696": {
+      "content": "[XXXXX851]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50697": {
+      "content": "[XXXXX999]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50698": {
+      "content": "[XXXXX969]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50699": {
+      "content": "[XXXXX453]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50700": {
+      "content": "[XXXXX730]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50701": {
+      "content": "[XXXXX54]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50702": {
+      "content": "[XXXXX480]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50703": {
+      "content": "[XXXXX564]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50704": {
+      "content": "[XXXXX600]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50705": {
+      "content": "[XXXXX654]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50706": {
+      "content": "[XXXXX37]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50707": {
+      "content": "[XXXXX605]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50708": {
+      "content": "[XXXXX164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50709": {
+      "content": "[XXXXX395]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50710": {
+      "content": "[XXXXX401]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50711": {
+      "content": "[XXXXX446]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50712": {
+      "content": "[XXXXX658]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50713": {
+      "content": "[XXXXX60]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50714": {
+      "content": "[XXXXX107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50715": {
+      "content": "[XXXXX131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50716": {
+      "content": "[XXXXX387]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50717": {
+      "content": "[XXXXX67]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50718": {
+      "content": "[XXXXX743]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50719": {
+      "content": "[XXXXX657]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50720": {
+      "content": "[XXXXX418]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50721": {
+      "content": "[XXXXX787]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50722": {
+      "content": "[XXXXX838]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50723": {
+      "content": "[XXXXX298]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50724": {
+      "content": "[XXXXX1007]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50725": {
+      "content": "[XXXXX1027]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50726": {
+      "content": "[XXXXX1078]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50727": {
+      "content": "[XXXXX651]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50728": {
+      "content": "[XXXXX875]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50729": {
+      "content": "[XXXXX258]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50730": {
+      "content": "[XXXXX413]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50731": {
+      "content": "[XXXXX1092]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50732": {
+      "content": "[XXXXX124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50733": {
+      "content": "[XXXXX308]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50734": {
+      "content": "[XXXXX1085]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50735": {
+      "content": "[XXXXX1170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50736": {
+      "content": "[XXXXX38]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50737": {
+      "content": "[XXXXX438]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50738": {
+      "content": "[XXXXX475]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50739": {
+      "content": "[XXXXX900]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50740": {
+      "content": "[XXXXX263]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50741": {
+      "content": "[XXXXX166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50742": {
+      "content": "[XXXXX698]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50743": {
+      "content": "[XXXXX1127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50744": {
+      "content": "[XXXXX1181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50745": {
+      "content": "[XXXXX763]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50746": {
+      "content": "[XXXXX627]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50747": {
+      "content": "[XXXXX250]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50748": {
+      "content": "[XXXXX757]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50749": {
+      "content": "[XXXXX142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50750": {
+      "content": "[XXXXX794]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50751": {
+      "content": "[XXXXX128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50752": {
+      "content": "[XXXXX35]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50753": {
+      "content": "[XXXXX482]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50754": {
+      "content": "[XXXXX834]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50755": {
+      "content": "[XXXXX679]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50756": {
+      "content": "[XXXXX839]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50757": {
+      "content": "[XXXXX138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50758": {
+      "content": "[XXXXX1066]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50759": {
+      "content": "[XXXXX116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50760": {
+      "content": "[XXXXX317]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50761": {
+      "content": "[XXXXX490]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50762": {
+      "content": "[XXXXX443]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50763": {
+      "content": "[XXXXX879]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50764": {
+      "content": "[XXXXX1101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50765": {
+      "content": "[XXXXX711]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50766": {
+      "content": "[XXXXX123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50767": {
+      "content": "[XXXXX1152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50768": {
+      "content": "[XXXXX692]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50769": {
+      "content": "[XXXXX555]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50770": {
+      "content": "[XXXXX266]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50771": {
+      "content": "[XXXXX0]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50772": {
+      "content": "[XXXXX332]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50773": {
+      "content": "[XXXXX497]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50774": {
+      "content": "[XXXXX904]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50775": {
+      "content": "[XXXXX1019]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50776": {
+      "content": "[XXXXX709]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50777": {
+      "content": "[XXXXX351]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50778": {
+      "content": "[XXXXX764]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50779": {
+      "content": "[XXXXX625]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50780": {
+      "content": "[XXXXX798]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50781": {
+      "content": "[XXXXX205]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50782": {
+      "content": "[XXXXX922]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50783": {
+      "content": "[XXXXX1075]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50784": {
+      "content": "[XXXXX8]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50785": {
+      "content": "[XXXXX422]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50786": {
+      "content": "[XXXXX638]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50787": {
+      "content": "[XXXXX98]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50788": {
+      "content": "[XXXXX814]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50789": {
+      "content": "[XXXXX1057]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50790": {
+      "content": "[XXXXX1070]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50791": {
+      "content": "[XXXXX411]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50792": {
+      "content": "[XXXXX768]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50793": {
+      "content": "[XXXXX1165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50794": {
+      "content": "[XXXXX888]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50795": {
+      "content": "[XXXXX636]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50796": {
+      "content": "[XXXXX1047]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50797": {
+      "content": "[XXXXX960]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50798": {
+      "content": "[XXXXX910]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50799": {
+      "content": "[XXXXX42]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50800": {
+      "content": "[XXXXX238]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50801": {
+      "content": "[XXXXX383]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50802": {
+      "content": "[XXXXX1032]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50803": {
+      "content": "[XXXXX577]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50804": {
+      "content": "[XXXXX268]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50805": {
+      "content": "[XXXXX179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50806": {
+      "content": "[XXXXX1076]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50807": {
+      "content": "[XXXXX1167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50808": {
+      "content": "[XXXXX1172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50809": {
+      "content": "[XXXXX665]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50810": {
+      "content": "[XXXXX126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50811": {
+      "content": "[XXXXX347]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50812": {
+      "content": "[XXXXX544]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50813": {
+      "content": "[XXXXX1026]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50814": {
+      "content": "[XXXXX159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50815": {
+      "content": "[XXXXX503]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50816": {
+      "content": "[XXXXX583]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50817": {
+      "content": "[XXXXX668]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50818": {
+      "content": "[XXXXX1115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50819": {
+      "content": "[XXXXX112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50820": {
+      "content": "[XXXXX154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50821": {
+      "content": "[XXXXX761]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50822": {
+      "content": "[XXXXX540]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50823": {
+      "content": "[XXXXX755]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50824": {
+      "content": "[XXXXX255]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50825": {
+      "content": "[XXXXX459]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50826": {
+      "content": "[XXXXX1090]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50827": {
+      "content": "[XXXXX689]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50828": {
+      "content": "[XXXXX589]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50829": {
+      "content": "[XXXXX122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50830": {
+      "content": "[XXXXX789]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50831": {
+      "content": "[XXXXX481]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50832": {
+      "content": "[XXXXX1044]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50833": {
+      "content": "[XXXXX274]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50834": {
+      "content": "[XXXXX957]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50835": {
+      "content": "[XXXXX1121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50836": {
+      "content": "[XXXXX464]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50837": {
+      "content": "[XXXXX495]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50838": {
+      "content": "[XXXXX1097]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50839": {
+      "content": "[XXXXX581]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50840": {
+      "content": "[XXXXX200]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50841": {
+      "content": "[XXXXX954]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50842": {
+      "content": "[XXXXX48]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50843": {
+      "content": "[XXXXX855]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50844": {
+      "content": "[XXXXX419]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50845": {
+      "content": "[XXXXX919]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50846": {
+      "content": "[XXXXX451]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50847": {
+      "content": "[XXXXX869]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50848": {
+      "content": "[XXXXX1082]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50849": {
+      "content": "[XXXXX1185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50850": {
+      "content": "[XXXXX859]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50851": {
+      "content": "[XXXXX1139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50852": {
+      "content": "[XXXXX1072]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50853": {
+      "content": "[XXXXX220]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50854": {
+      "content": "[XXXXX465]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50855": {
+      "content": "[XXXXX1105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50856": {
+      "content": "[XXXXX1093]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50857": {
+      "content": "[XXXXX953]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50858": {
+      "content": "[XXXXX1187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50859": {
+      "content": "[XXXXX311]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50860": {
+      "content": "[XXXXX403]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50861": {
+      "content": "[XXXXX684]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50862": {
+      "content": "[XXXXX426]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50863": {
+      "content": "[XXXXX68]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50864": {
+      "content": "[XXXXX277]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50865": {
+      "content": "[XXXXX437]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50866": {
+      "content": "[XXXXX896]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50867": {
+      "content": "[XXXXX899]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50868": {
+      "content": "[XXXXX878]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50869": {
+      "content": "[XXXXX1073]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50870": {
+      "content": "[XXXXX774]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50871": {
+      "content": "[XXXXX315]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50872": {
+      "content": "[XXXXX631]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50873": {
+      "content": "[XXXXX223]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50874": {
+      "content": "[XXXXX86]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50875": {
+      "content": "[XXXXX607]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50876": {
+      "content": "[XXXXX149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50877": {
+      "content": "[XXXXX566]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50878": {
+      "content": "[XXXXX740]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50879": {
+      "content": "[XXXXX265]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50880": {
+      "content": "[XXXXX399]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50881": {
+      "content": "[XXXXX1053]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50882": {
+      "content": "[XXXXX1077]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50883": {
+      "content": "[XXXXX336]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50884": {
+      "content": "[XXXXX734]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50885": {
+      "content": "[XXXXX289]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50886": {
+      "content": "[XXXXX221]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50887": {
+      "content": "[XXXXX580]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50888": {
+      "content": "[XXXXX406]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50889": {
+      "content": "[XXXXX854]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50890": {
+      "content": "[XXXXX673]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50891": {
+      "content": "[XXXXX1146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50892": {
+      "content": "[XXXXX29]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50893": {
+      "content": "[XXXXX496]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50894": {
+      "content": "[XXXXX241]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50895": {
+      "content": "[XXXXX929]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50896": {
+      "content": "[XXXXX169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50897": {
+      "content": "[XXXXX1153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50898": {
+      "content": "[XXXXX440]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50899": {
+      "content": "[XXXXX385]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50900": {
+      "content": "[XXXXX499]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50901": {
+      "content": "[XXXXX718]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50902": {
+      "content": "[XXXXX848]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50903": {
+      "content": "[XXXXX877]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50904": {
+      "content": "[XXXXX641]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50905": {
+      "content": "[XXXXX1137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50906": {
+      "content": "[XXXXX269]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50907": {
+      "content": "[XXXXX521]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50908": {
+      "content": "[XXXXX234]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50909": {
+      "content": "[XXXXX987]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50910": {
+      "content": "[XXXXX741]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50911": {
+      "content": "[XXXXX349]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50912": {
+      "content": "[XXXXX93]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50913": {
+      "content": "[XXXXX247]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50914": {
+      "content": "[XXXXX961]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50915": {
+      "content": "[XXXXX1120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50916": {
+      "content": "[XXXXX369]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50917": {
+      "content": "[XXXXX479]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50918": {
+      "content": "[XXXXX892]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50919": {
+      "content": "[XXXXX553]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50920": {
+      "content": "[XXXXX906]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50921": {
+      "content": "[XXXXX571]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50922": {
+      "content": "[XXXXX1046]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50923": {
+      "content": "[XXXXX206]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50924": {
+      "content": "[XXXXX488]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50925": {
+      "content": "[XXXXX445]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50926": {
+      "content": "[XXXXX524]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50927": {
+      "content": "[XXXXX228]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50928": {
+      "content": "[XXXXX998]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50929": {
+      "content": "[XXXXX675]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50930": {
+      "content": "[XXXXX732]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50931": {
+      "content": "[XXXXX1028]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50932": {
+      "content": "[XXXXX494]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50933": {
+      "content": "[XXXXX965]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50934": {
+      "content": "[XXXXX1021]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50935": {
+      "content": "[XXXXX726]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50936": {
+      "content": "[XXXXX168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50937": {
+      "content": "[XXXXX606]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50938": {
+      "content": "[XXXXX974]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50939": {
+      "content": "[XXXXX504]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50940": {
+      "content": "[XXXXX556]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50941": {
+      "content": "[XXXXX1159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50942": {
+      "content": "[XXXXX417]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50943": {
+      "content": "[XXXXX1175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50944": {
+      "content": "[XXXXX1142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50945": {
+      "content": "[XXXXX753]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50946": {
+      "content": "[XXXXX824]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50947": {
+      "content": "[XXXXX251]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50948": {
+      "content": "[XXXXX345]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50949": {
+      "content": "[XXXXX610]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50950": {
+      "content": "[XXXXX276]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50951": {
+      "content": "[XXXXX783]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50952": {
+      "content": "[XXXXX74]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50953": {
+      "content": "[XXXXX1050]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50954": {
+      "content": "[XXXXX71]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50955": {
+      "content": "[XXXXX360]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50956": {
+      "content": "[XXXXX512]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50957": {
+      "content": "[XXXXX341]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50958": {
+      "content": "[XXXXX375]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50959": {
+      "content": "[XXXXX637]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50960": {
+      "content": "[XXXXX1116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50961": {
+      "content": "[XXXXX9]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50962": {
+      "content": "[XXXXX738]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50963": {
+      "content": "[XXXXX856]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50964": {
+      "content": "[XXXXX979]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50965": {
+      "content": "[XXXXX825]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50966": {
+      "content": "[XXXXX852]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50967": {
+      "content": "[XXXXX215]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50968": {
+      "content": "[XXXXX91]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50969": {
+      "content": "[XXXXX257]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50970": {
+      "content": "[XXXXX325]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50971": {
+      "content": "[XXXXX368]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50972": {
+      "content": "[XXXXX1124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50973": {
+      "content": "[XXXXX188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50974": {
+      "content": "[XXXXX905]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50975": {
+      "content": "[XXXXX284]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50976": {
+      "content": "[XXXXX11]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50977": {
+      "content": "[XXXXX83]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50978": {
+      "content": "[XXXXX611]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50979": {
+      "content": "[XXXXX51]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50980": {
+      "content": "[XXXXX99]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50981": {
+      "content": "[XXXXX288]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50982": {
+      "content": "[XXXXX945]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50983": {
+      "content": "[XXXXX975]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50984": {
+      "content": "[XXXXX282]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50985": {
+      "content": "[XXXXX1068]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50986": {
+      "content": "[XXXXX1180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50987": {
+      "content": "[XXXXX574]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50988": {
+      "content": "[XXXXX305]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50989": {
+      "content": "[XXXXX565]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50990": {
+      "content": "[XXXXX865]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50991": {
+      "content": "[XXXXX1014]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50992": {
+      "content": "[XXXXX1138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50993": {
+      "content": "[XXXXX134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50994": {
+      "content": "[XXXXX321]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50995": {
+      "content": "[XXXXX752]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50996": {
+      "content": "[XXXXX108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50997": {
+      "content": "[XXXXX339]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50998": {
+      "content": "[XXXXX893]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50999": {
+      "content": "[XXXXX1177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51000": {
+      "content": "[XXXXX988]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51001": {
+      "content": "[XXXXX719]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51002": {
+      "content": "[XXXXX1059]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51003": {
+      "content": "[XXXXX421]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51004": {
+      "content": "[XXXXX670]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51005": {
+      "content": "[XXXXX949]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51006": {
+      "content": "[XXXXX14]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51007": {
+      "content": "[XXXXX1087]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51008": {
+      "content": "[XXXXX382]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51009": {
+      "content": "[XXXXX531]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51010": {
+      "content": "[XXXXX1079]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51011": {
+      "content": "[XXXXX1067]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51012": {
+      "content": "[XXXXX655]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51013": {
+      "content": "[XXXXX340]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51014": {
+      "content": "[XXXXX398]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51015": {
+      "content": "[XXXXX175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51016": {
+      "content": "[XXXXX232]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51017": {
+      "content": "[XXXXX244]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51018": {
+      "content": "[XXXXX568]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51019": {
+      "content": "[XXXXX1110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51020": {
+      "content": "[XXXXX191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51021": {
+      "content": "[XXXXX931]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51022": {
+      "content": "[XXXXX832]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51023": {
+      "content": "[XXXXX1030]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51024": {
+      "content": "[XXXXX144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51025": {
+      "content": "[XXXXX1102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51026": {
+      "content": "[XXXXX300]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51027": {
+      "content": "[XXXXX996]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51028": {
+      "content": "[XXXXX248]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51029": {
+      "content": "[XXXXX66]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51030": {
+      "content": "[XXXXX735]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51031": {
+      "content": "[XXXXX20]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51032": {
+      "content": "[XXXXX694]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51033": {
+      "content": "[XXXXX845]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51034": {
+      "content": "[XXXXX500]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51035": {
+      "content": "[XXXXX613]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51036": {
+      "content": "[XXXXX117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51037": {
+      "content": "[XXXXX886]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51038": {
+      "content": "[XXXXX261]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51039": {
+      "content": "[XXXXX567]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51040": {
+      "content": "[XXXXX541]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51041": {
+      "content": "[XXXXX529]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51042": {
+      "content": "[XXXXX699]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51043": {
+      "content": "[XXXXX715]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51044": {
+      "content": "[XXXXX1003]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51045": {
+      "content": "[XXXXX518]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51046": {
+      "content": "[XXXXX891]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51047": {
+      "content": "[XXXXX192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51048": {
+      "content": "[XXXXX53]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51049": {
+      "content": "[XXXXX428]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51050": {
+      "content": "[XXXXX183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51051": {
+      "content": "[XXXXX850]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51052": {
+      "content": "[XXXXX539]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51053": {
+      "content": "[XXXXX527]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51054": {
+      "content": "[XXXXX660]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51055": {
+      "content": "[XXXXX409]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51056": {
+      "content": "[XXXXX1122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51057": {
+      "content": "[XXXXX898]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51058": {
+      "content": "[XXXXX858]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51059": {
+      "content": "[XXXXX534]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51060": {
+      "content": "[XXXXX756]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51061": {
+      "content": "[XXXXX63]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51062": {
+      "content": "[XXXXX49]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51063": {
+      "content": "[XXXXX1106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51064": {
+      "content": "[XXXXX111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51065": {
+      "content": "[XXXXX955]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51066": {
+      "content": "[XXXXX309]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51067": {
+      "content": "[XXXXX538]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51068": {
+      "content": "[XXXXX823]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51069": {
+      "content": "[XXXXX867]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51070": {
+      "content": "[XXXXX587]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51071": {
+      "content": "[XXXXX243]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51072": {
+      "content": "[XXXXX677]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51073": {
+      "content": "[XXXXX1017]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51074": {
+      "content": "[XXXXX173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51075": {
+      "content": "[XXXXX682]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51076": {
+      "content": "[XXXXX1184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51077": {
+      "content": "[XXXXX1009]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51078": {
+      "content": "[XXXXX704]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51079": {
+      "content": "[XXXXX532]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51080": {
+      "content": "[XXXXX901]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51081": {
+      "content": "[XXXXX120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51082": {
+      "content": "[XXXXX388]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51083": {
+      "content": "[XXXXX405]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51084": {
+      "content": "[XXXXX788]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51085": {
+      "content": "[XXXXX728]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51086": {
+      "content": "[XXXXX425]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51087": {
+      "content": "[XXXXX883]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51088": {
+      "content": "[XXXXX837]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51089": {
+      "content": "[XXXXX350]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51090": {
+      "content": "[XXXXX716]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51091": {
+      "content": "[XXXXX579]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51092": {
+      "content": "[XXXXX909]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51093": {
+      "content": "[XXXXX884]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51094": {
+      "content": "[XXXXX1011]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51095": {
+      "content": "[XXXXX372]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51096": {
+      "content": "[XXXXX370]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51097": {
+      "content": "[XXXXX468]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51098": {
+      "content": "[XXXXX688]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51099": {
+      "content": "[XXXXX56]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51100": {
+      "content": "[XXXXX653]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51101": {
+      "content": "[XXXXX623]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51102": {
+      "content": "[XXXXX552]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51103": {
+      "content": "[XXXXX314]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51104": {
+      "content": "[XXXXX1018]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51105": {
+      "content": "[XXXXX1091]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51106": {
+      "content": "[XXXXX342]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51107": {
+      "content": "[XXXXX1065]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51108": {
+      "content": "[XXXXX1161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51109": {
+      "content": "[XXXXX959]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51110": {
+      "content": "[XXXXX1035]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51111": {
+      "content": "[XXXXX530]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51112": {
+      "content": "[XXXXX69]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51113": {
+      "content": "[XXXXX489]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51114": {
+      "content": "[XXXXX1]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51115": {
+      "content": "[XXXXX207]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51116": {
+      "content": "[XXXXX433]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51117": {
+      "content": "[XXXXX358]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51118": {
+      "content": "[XXXXX601]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51119": {
+      "content": "[XXXXX2]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51120": {
+      "content": "[XXXXX722]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51121": {
+      "content": "[XXXXX985]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51122": {
+      "content": "[XXXXX908]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51123": {
+      "content": "[XXXXX1024]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51124": {
+      "content": "[XXXXX1111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51125": {
+      "content": "[XXXXX1113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51126": {
+      "content": "[XXXXX678]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51127": {
+      "content": "[XXXXX19]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51128": {
+      "content": "[XXXXX1186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51129": {
+      "content": "[XXXXX808]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51130": {
+      "content": "[XXXXX493]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51131": {
+      "content": "[XXXXX1155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51132": {
+      "content": "[XXXXX217]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51133": {
+      "content": "[XXXXX616]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51134": {
+      "content": "[XXXXX835]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51135": {
+      "content": "[XXXXX994]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51136": {
+      "content": "[XXXXX484]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51137": {
+      "content": "[XXXXX362]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51138": {
+      "content": "[XXXXX582]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51139": {
+      "content": "[XXXXX1034]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51140": {
+      "content": "[XXXXX772]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51141": {
+      "content": "[XXXXX457]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51142": {
+      "content": "[XXXXX604]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51143": {
+      "content": "[XXXXX456]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51144": {
+      "content": "[XXXXX145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51145": {
+      "content": "[XXXXX476]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51146": {
+      "content": "[XXXXX218]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51147": {
+      "content": "[XXXXX199]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51148": {
+      "content": "[XXXXX364]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51149": {
+      "content": "[XXXXX302]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51150": {
+      "content": "[XXXXX881]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51151": {
+      "content": "[XXXXX1088]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51152": {
+      "content": "[XXXXX356]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51153": {
+      "content": "[XXXXX936]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51154": {
+      "content": "[XXXXX978]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51155": {
+      "content": "[XXXXX895]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51156": {
+      "content": "[XXXXX993]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51157": {
+      "content": "[XXXXX458]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51158": {
+      "content": "[XXXXX1002]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51159": {
+      "content": "[XXXXX1022]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51160": {
+      "content": "[XXXXX25]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51161": {
+      "content": "[XXXXX766]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51162": {
+      "content": "[XXXXX64]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51163": {
+      "content": "[XXXXX211]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51164": {
+      "content": "[XXXXX82]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51165": {
+      "content": "[XXXXX634]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51166": {
+      "content": "[XXXXX661]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51167": {
+      "content": "[XXXXX748]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51168": {
+      "content": "[XXXXX778]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51169": {
+      "content": "[XXXXX24]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51170": {
+      "content": "[XXXXX448]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51171": {
+      "content": "[XXXXX887]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51172": {
+      "content": "[XXXXX890]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51173": {
+      "content": "[XXXXX754]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51174": {
+      "content": "[XXXXX343]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51175": {
+      "content": "[XXXXX1069]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51176": {
+      "content": "[XXXXX294]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51177": {
+      "content": "[XXXXX295]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51178": {
+      "content": "[XXXXX197]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51179": {
+      "content": "[XXXXX210]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51180": {
+      "content": "[XXXXX630]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51181": {
+      "content": "[XXXXX707]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51182": {
+      "content": "[XXXXX864]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51183": {
+      "content": "[XXXXX391]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51184": {
+      "content": "[XXXXX338]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51185": {
+      "content": "[XXXXX800]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51186": {
+      "content": "[XXXXX841]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51187": {
+      "content": "[XXXXX967]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51188": {
+      "content": "[XXXXX793]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51189": {
+      "content": "[XXXXX916]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51190": {
+      "content": "[XXXXX603]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51191": {
+      "content": "[XXXXX270]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51192": {
+      "content": "[XXXXX105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51193": {
+      "content": "[XXXXX1016]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51194": {
+      "content": "[XXXXX804]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51195": {
+      "content": "[XXXXX264]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51196": {
+      "content": "[XXXXX155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51197": {
+      "content": "[XXXXX1190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51198": {
+      "content": "[XXXXX813]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51199": {
+      "content": "[XXXXX546]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "keep_accents": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}
diff --git a/checkpoint-3000/trainer_state.json b/checkpoint-3000/trainer_state.json
new file mode 100644
index 0000000..1da6927
--- /dev/null
+++ b/checkpoint-3000/trainer_state.json
@@ -0,0 +1,6100 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.4855012427506216,
+  "eval_steps": 500,
+  "global_step": 3000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "entropy": 7.218191003799438,
+      "epoch": 0.004142502071251036,
+      "grad_norm": 1.265625,
+      "learning_rate": 2e-06,
+      "loss": 6.8898,
+      "mean_token_accuracy": 0.08805170804262161,
+      "num_tokens": 9149.0,
+      "step": 5
+    },
+    {
+      "entropy": 7.191673707962036,
+      "epoch": 0.008285004142502071,
+      "grad_norm": 1.5078125,
+      "learning_rate": 4.5e-06,
+      "loss": 6.7268,
+      "mean_token_accuracy": 0.09304728880524635,
+      "num_tokens": 16800.0,
+      "step": 10
+    },
+    {
+      "entropy": 7.134524202346801,
+      "epoch": 0.012427506213753107,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7e-06,
+      "loss": 6.8905,
+      "mean_token_accuracy": 0.0921505056321621,
+      "num_tokens": 26617.0,
+      "step": 15
+    },
+    {
+      "entropy": 7.115550088882446,
+      "epoch": 0.016570008285004142,
+      "grad_norm": 1.25,
+      "learning_rate": 9.5e-06,
+      "loss": 6.8021,
+      "mean_token_accuracy": 0.09268744736909866,
+      "num_tokens": 35855.0,
+      "step": 20
+    },
+    {
+      "entropy": 7.12396879196167,
+      "epoch": 0.020712510356255178,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.2e-05,
+      "loss": 7.0094,
+      "mean_token_accuracy": 0.08752714470028877,
+      "num_tokens": 45644.0,
+      "step": 25
+    },
+    {
+      "entropy": 7.054446792602539,
+      "epoch": 0.024855012427506214,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.4500000000000002e-05,
+      "loss": 6.8922,
+      "mean_token_accuracy": 0.09398627206683159,
+      "num_tokens": 54641.0,
+      "step": 30
+    },
+    {
+      "entropy": 7.012255907058716,
+      "epoch": 0.02899751449875725,
+      "grad_norm": 1.0234375,
+      "learning_rate": 1.7000000000000003e-05,
+      "loss": 6.7519,
+      "mean_token_accuracy": 0.08958807587623596,
+      "num_tokens": 63924.0,
+      "step": 35
+    },
+    {
+      "entropy": 7.068031549453735,
+      "epoch": 0.033140016570008285,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.95e-05,
+      "loss": 6.89,
+      "mean_token_accuracy": 0.09437783882021904,
+      "num_tokens": 73452.0,
+      "step": 40
+    },
+    {
+      "entropy": 7.06072301864624,
+      "epoch": 0.037282518641259324,
+      "grad_norm": 1.0234375,
+      "learning_rate": 2.2e-05,
+      "loss": 6.9455,
+      "mean_token_accuracy": 0.0851291574537754,
+      "num_tokens": 82731.0,
+      "step": 45
+    },
+    {
+      "entropy": 7.090083169937134,
+      "epoch": 0.041425020712510356,
+      "grad_norm": 1.1015625,
+      "learning_rate": 2.4500000000000003e-05,
+      "loss": 6.7734,
+      "mean_token_accuracy": 0.09048294499516488,
+      "num_tokens": 92626.0,
+      "step": 50
+    },
+    {
+      "entropy": 7.149203157424926,
+      "epoch": 0.045567522783761395,
+      "grad_norm": 1.21875,
+      "learning_rate": 2.7e-05,
+      "loss": 6.9497,
+      "mean_token_accuracy": 0.08217904865741729,
+      "num_tokens": 101380.0,
+      "step": 55
+    },
+    {
+      "entropy": 7.119951963424683,
+      "epoch": 0.04971002485501243,
+      "grad_norm": 1.046875,
+      "learning_rate": 2.95e-05,
+      "loss": 6.8604,
+      "mean_token_accuracy": 0.09202293381094932,
+      "num_tokens": 109895.0,
+      "step": 60
+    },
+    {
+      "entropy": 7.2014998435974125,
+      "epoch": 0.053852526926263466,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.2e-05,
+      "loss": 6.8449,
+      "mean_token_accuracy": 0.09257669150829315,
+      "num_tokens": 119203.0,
+      "step": 65
+    },
+    {
+      "entropy": 7.1111664295196535,
+      "epoch": 0.0579950289975145,
+      "grad_norm": 1.1484375,
+      "learning_rate": 3.4500000000000005e-05,
+      "loss": 6.7903,
+      "mean_token_accuracy": 0.09657297283411026,
+      "num_tokens": 127572.0,
+      "step": 70
+    },
+    {
+      "entropy": 7.04930944442749,
+      "epoch": 0.06213753106876554,
+      "grad_norm": 1.03125,
+      "learning_rate": 3.7e-05,
+      "loss": 6.8304,
+      "mean_token_accuracy": 0.09063600301742554,
+      "num_tokens": 137161.0,
+      "step": 75
+    },
+    {
+      "entropy": 7.044711875915527,
+      "epoch": 0.06628003314001657,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.95e-05,
+      "loss": 6.9451,
+      "mean_token_accuracy": 0.08874713778495788,
+      "num_tokens": 145991.0,
+      "step": 80
+    },
+    {
+      "entropy": 7.130092525482178,
+      "epoch": 0.07042253521126761,
+      "grad_norm": 1.0546875,
+      "learning_rate": 4.2000000000000004e-05,
+      "loss": 6.8464,
+      "mean_token_accuracy": 0.08955071866512299,
+      "num_tokens": 154927.0,
+      "step": 85
+    },
+    {
+      "entropy": 7.090402746200562,
+      "epoch": 0.07456503728251865,
+      "grad_norm": 1.34375,
+      "learning_rate": 4.45e-05,
+      "loss": 6.7595,
+      "mean_token_accuracy": 0.09832768961787224,
+      "num_tokens": 163234.0,
+      "step": 90
+    },
+    {
+      "entropy": 7.08957576751709,
+      "epoch": 0.07870753935376967,
+      "grad_norm": 1.015625,
+      "learning_rate": 4.7000000000000004e-05,
+      "loss": 6.7163,
+      "mean_token_accuracy": 0.09379880875349045,
+      "num_tokens": 171554.0,
+      "step": 95
+    },
+    {
+      "entropy": 7.044517278671265,
+      "epoch": 0.08285004142502071,
+      "grad_norm": 1.1328125,
+      "learning_rate": 4.9500000000000004e-05,
+      "loss": 6.8173,
+      "mean_token_accuracy": 0.0955286517739296,
+      "num_tokens": 180171.0,
+      "step": 100
+    },
+    {
+      "entropy": 7.050950908660889,
+      "epoch": 0.08699254349627175,
+      "grad_norm": 1.0859375,
+      "learning_rate": 5.2e-05,
+      "loss": 6.761,
+      "mean_token_accuracy": 0.09741089940071106,
+      "num_tokens": 189216.0,
+      "step": 105
+    },
+    {
+      "entropy": 7.173562717437744,
+      "epoch": 0.09113504556752279,
+      "grad_norm": 1.015625,
+      "learning_rate": 5.45e-05,
+      "loss": 6.9519,
+      "mean_token_accuracy": 0.08675800338387489,
+      "num_tokens": 200022.0,
+      "step": 110
+    },
+    {
+      "entropy": 7.183744478225708,
+      "epoch": 0.09527754763877382,
+      "grad_norm": 1.2265625,
+      "learning_rate": 5.7e-05,
+      "loss": 6.8642,
+      "mean_token_accuracy": 0.09210581332445145,
+      "num_tokens": 208686.0,
+      "step": 115
+    },
+    {
+      "entropy": 7.121539115905762,
+      "epoch": 0.09942004971002485,
+      "grad_norm": 1.1875,
+      "learning_rate": 5.9499999999999996e-05,
+      "loss": 6.8829,
+      "mean_token_accuracy": 0.09462191313505172,
+      "num_tokens": 218266.0,
+      "step": 120
+    },
+    {
+      "entropy": 7.006736946105957,
+      "epoch": 0.1035625517812759,
+      "grad_norm": 1.046875,
+      "learning_rate": 6.2e-05,
+      "loss": 6.7523,
+      "mean_token_accuracy": 0.08771666437387467,
+      "num_tokens": 227658.0,
+      "step": 125
+    },
+    {
+      "entropy": 7.040027761459351,
+      "epoch": 0.10770505385252693,
+      "grad_norm": 1.1015625,
+      "learning_rate": 6.450000000000001e-05,
+      "loss": 6.7014,
+      "mean_token_accuracy": 0.1004502885043621,
+      "num_tokens": 236301.0,
+      "step": 130
+    },
+    {
+      "entropy": 7.106470441818237,
+      "epoch": 0.11184755592377796,
+      "grad_norm": 1.1171875,
+      "learning_rate": 6.7e-05,
+      "loss": 6.8424,
+      "mean_token_accuracy": 0.08812138065695763,
+      "num_tokens": 246355.0,
+      "step": 135
+    },
+    {
+      "entropy": 7.174679756164551,
+      "epoch": 0.115990057995029,
+      "grad_norm": 1.15625,
+      "learning_rate": 6.950000000000001e-05,
+      "loss": 6.8174,
+      "mean_token_accuracy": 0.0924198254942894,
+      "num_tokens": 256023.0,
+      "step": 140
+    },
+    {
+      "entropy": 7.10174069404602,
+      "epoch": 0.12013256006628004,
+      "grad_norm": 0.9921875,
+      "learning_rate": 7.2e-05,
+      "loss": 6.9036,
+      "mean_token_accuracy": 0.08638993799686431,
+      "num_tokens": 266893.0,
+      "step": 145
+    },
+    {
+      "entropy": 7.019921684265137,
+      "epoch": 0.12427506213753108,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7.45e-05,
+      "loss": 6.6606,
+      "mean_token_accuracy": 0.08872481286525727,
+      "num_tokens": 276075.0,
+      "step": 150
+    },
+    {
+      "entropy": 7.042754888534546,
+      "epoch": 0.12841756420878211,
+      "grad_norm": 1.25,
+      "learning_rate": 7.7e-05,
+      "loss": 6.7532,
+      "mean_token_accuracy": 0.09296932220458984,
+      "num_tokens": 285529.0,
+      "step": 155
+    },
+    {
+      "entropy": 7.064399909973145,
+      "epoch": 0.13256006628003314,
+      "grad_norm": 1.15625,
+      "learning_rate": 7.950000000000001e-05,
+      "loss": 6.762,
+      "mean_token_accuracy": 0.09406789913773536,
+      "num_tokens": 294403.0,
+      "step": 160
+    },
+    {
+      "entropy": 7.152362823486328,
+      "epoch": 0.13670256835128416,
+      "grad_norm": 1.28125,
+      "learning_rate": 8.2e-05,
+      "loss": 6.8553,
+      "mean_token_accuracy": 0.09358441680669785,
+      "num_tokens": 303507.0,
+      "step": 165
+    },
+    {
+      "entropy": 7.071487474441528,
+      "epoch": 0.14084507042253522,
+      "grad_norm": 1.21875,
+      "learning_rate": 8.450000000000001e-05,
+      "loss": 6.7534,
+      "mean_token_accuracy": 0.09645206108689308,
+      "num_tokens": 312393.0,
+      "step": 170
+    },
+    {
+      "entropy": 6.956210470199585,
+      "epoch": 0.14498757249378624,
+      "grad_norm": 1.0859375,
+      "learning_rate": 8.7e-05,
+      "loss": 6.7226,
+      "mean_token_accuracy": 0.09953253641724587,
+      "num_tokens": 321309.0,
+      "step": 175
+    },
+    {
+      "entropy": 7.2200812816619875,
+      "epoch": 0.1491300745650373,
+      "grad_norm": 1.1328125,
+      "learning_rate": 8.95e-05,
+      "loss": 6.7879,
+      "mean_token_accuracy": 0.09582221284508705,
+      "num_tokens": 330217.0,
+      "step": 180
+    },
+    {
+      "entropy": 6.964824962615967,
+      "epoch": 0.15327257663628832,
+      "grad_norm": 1.2109375,
+      "learning_rate": 9.2e-05,
+      "loss": 6.8296,
+      "mean_token_accuracy": 0.09584516286849976,
+      "num_tokens": 339587.0,
+      "step": 185
+    },
+    {
+      "entropy": 7.104565525054932,
+      "epoch": 0.15741507870753935,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.45e-05,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.09563353508710862,
+      "num_tokens": 349367.0,
+      "step": 190
+    },
+    {
+      "entropy": 6.90956711769104,
+      "epoch": 0.1615575807787904,
+      "grad_norm": 1.1953125,
+      "learning_rate": 9.7e-05,
+      "loss": 6.6535,
+      "mean_token_accuracy": 0.09533214569091797,
+      "num_tokens": 358272.0,
+      "step": 195
+    },
+    {
+      "entropy": 7.184430170059204,
+      "epoch": 0.16570008285004142,
+      "grad_norm": 1.1875,
+      "learning_rate": 9.95e-05,
+      "loss": 6.8847,
+      "mean_token_accuracy": 0.09342379868030548,
+      "num_tokens": 367709.0,
+      "step": 200
+    },
+    {
+      "entropy": 7.108258152008057,
+      "epoch": 0.16984258492129245,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000102,
+      "loss": 6.7363,
+      "mean_token_accuracy": 0.09321728497743606,
+      "num_tokens": 376180.0,
+      "step": 205
+    },
+    {
+      "entropy": 7.143853282928466,
+      "epoch": 0.1739850869925435,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00010449999999999999,
+      "loss": 6.8927,
+      "mean_token_accuracy": 0.08639989122748375,
+      "num_tokens": 385636.0,
+      "step": 210
+    },
+    {
+      "entropy": 7.005528688430786,
+      "epoch": 0.17812758906379453,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000107,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.10387283116579056,
+      "num_tokens": 394486.0,
+      "step": 215
+    },
+    {
+      "entropy": 7.066776275634766,
+      "epoch": 0.18227009113504558,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0001095,
+      "loss": 6.7286,
+      "mean_token_accuracy": 0.09739693626761436,
+      "num_tokens": 403765.0,
+      "step": 220
+    },
+    {
+      "entropy": 6.9391695022583,
+      "epoch": 0.1864125932062966,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000112,
+      "loss": 6.7198,
+      "mean_token_accuracy": 0.09883175939321517,
+      "num_tokens": 412988.0,
+      "step": 225
+    },
+    {
+      "entropy": 7.029045248031617,
+      "epoch": 0.19055509527754763,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0001145,
+      "loss": 6.6219,
+      "mean_token_accuracy": 0.09850638806819915,
+      "num_tokens": 422096.0,
+      "step": 230
+    },
+    {
+      "entropy": 7.055552911758423,
+      "epoch": 0.19469759734879868,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011700000000000001,
+      "loss": 6.7907,
+      "mean_token_accuracy": 0.08912368193268776,
+      "num_tokens": 431333.0,
+      "step": 235
+    },
+    {
+      "entropy": 7.076433277130127,
+      "epoch": 0.1988400994200497,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00011949999999999999,
+      "loss": 6.825,
+      "mean_token_accuracy": 0.0998022735118866,
+      "num_tokens": 440382.0,
+      "step": 240
+    },
+    {
+      "entropy": 7.098494958877564,
+      "epoch": 0.20298260149130073,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000122,
+      "loss": 6.7184,
+      "mean_token_accuracy": 0.1035430908203125,
+      "num_tokens": 448469.0,
+      "step": 245
+    },
+    {
+      "entropy": 7.065437746047974,
+      "epoch": 0.2071251035625518,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001245,
+      "loss": 6.7562,
+      "mean_token_accuracy": 0.0973759837448597,
+      "num_tokens": 457356.0,
+      "step": 250
+    },
+    {
+      "entropy": 7.103154182434082,
+      "epoch": 0.2112676056338028,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000127,
+      "loss": 6.7821,
+      "mean_token_accuracy": 0.09721289053559304,
+      "num_tokens": 465928.0,
+      "step": 255
+    },
+    {
+      "entropy": 6.99681601524353,
+      "epoch": 0.21541010770505387,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0001295,
+      "loss": 6.6931,
+      "mean_token_accuracy": 0.09931288808584213,
+      "num_tokens": 475269.0,
+      "step": 260
+    },
+    {
+      "entropy": 6.960800266265869,
+      "epoch": 0.2195526097763049,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000132,
+      "loss": 6.679,
+      "mean_token_accuracy": 0.09512786641716957,
+      "num_tokens": 485450.0,
+      "step": 265
+    },
+    {
+      "entropy": 7.0514568328857425,
+      "epoch": 0.22369511184755592,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00013450000000000002,
+      "loss": 6.7347,
+      "mean_token_accuracy": 0.10228226557374001,
+      "num_tokens": 494029.0,
+      "step": 270
+    },
+    {
+      "entropy": 6.9516912460327145,
+      "epoch": 0.22783761391880697,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013700000000000002,
+      "loss": 6.676,
+      "mean_token_accuracy": 0.10202871784567832,
+      "num_tokens": 503253.0,
+      "step": 275
+    },
+    {
+      "entropy": 7.018160057067871,
+      "epoch": 0.231980115990058,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0001395,
+      "loss": 6.6685,
+      "mean_token_accuracy": 0.09529435187578202,
+      "num_tokens": 512857.0,
+      "step": 280
+    },
+    {
+      "entropy": 6.9714985370635985,
+      "epoch": 0.23612261806130902,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00014199999999999998,
+      "loss": 6.7719,
+      "mean_token_accuracy": 0.09288227260112762,
+      "num_tokens": 522319.0,
+      "step": 285
+    },
+    {
+      "entropy": 7.113205528259277,
+      "epoch": 0.24026512013256007,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0001445,
+      "loss": 6.7224,
+      "mean_token_accuracy": 0.09471780881285667,
+      "num_tokens": 531469.0,
+      "step": 290
+    },
+    {
+      "entropy": 6.976934480667114,
+      "epoch": 0.2444076222038111,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000147,
+      "loss": 6.756,
+      "mean_token_accuracy": 0.09480062946677208,
+      "num_tokens": 540470.0,
+      "step": 295
+    },
+    {
+      "entropy": 7.011937475204467,
+      "epoch": 0.24855012427506215,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0001495,
+      "loss": 6.7584,
+      "mean_token_accuracy": 0.09700122326612473,
+      "num_tokens": 550317.0,
+      "step": 300
+    },
+    {
+      "entropy": 7.0365160465240475,
+      "epoch": 0.2526926263463132,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000152,
+      "loss": 6.7067,
+      "mean_token_accuracy": 0.09434132501482964,
+      "num_tokens": 559409.0,
+      "step": 305
+    },
+    {
+      "entropy": 6.928857326507568,
+      "epoch": 0.25683512841756423,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00015450000000000001,
+      "loss": 6.768,
+      "mean_token_accuracy": 0.10764710158109665,
+      "num_tokens": 568726.0,
+      "step": 310
+    },
+    {
+      "entropy": 7.103991413116455,
+      "epoch": 0.2609776304888152,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000157,
+      "loss": 6.7179,
+      "mean_token_accuracy": 0.0976541943848133,
+      "num_tokens": 577926.0,
+      "step": 315
+    },
+    {
+      "entropy": 7.047203779220581,
+      "epoch": 0.2651201325600663,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001595,
+      "loss": 6.7448,
+      "mean_token_accuracy": 0.09809661954641342,
+      "num_tokens": 586695.0,
+      "step": 320
+    },
+    {
+      "entropy": 7.039609956741333,
+      "epoch": 0.26926263463131733,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000162,
+      "loss": 6.771,
+      "mean_token_accuracy": 0.0949723981320858,
+      "num_tokens": 596250.0,
+      "step": 325
+    },
+    {
+      "entropy": 7.063632202148438,
+      "epoch": 0.27340513670256833,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00016450000000000001,
+      "loss": 6.8221,
+      "mean_token_accuracy": 0.09051206335425377,
+      "num_tokens": 605761.0,
+      "step": 330
+    },
+    {
+      "entropy": 7.019326877593994,
+      "epoch": 0.2775476387738194,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00016700000000000002,
+      "loss": 6.7365,
+      "mean_token_accuracy": 0.09872144013643265,
+      "num_tokens": 614313.0,
+      "step": 335
+    },
+    {
+      "entropy": 7.037422132492066,
+      "epoch": 0.28169014084507044,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00016950000000000003,
+      "loss": 6.7692,
+      "mean_token_accuracy": 0.09455474764108658,
+      "num_tokens": 624470.0,
+      "step": 340
+    },
+    {
+      "entropy": 7.039082098007202,
+      "epoch": 0.28583264291632143,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00017199999999999998,
+      "loss": 6.6843,
+      "mean_token_accuracy": 0.09269843101501465,
+      "num_tokens": 633458.0,
+      "step": 345
+    },
+    {
+      "entropy": 6.942268037796021,
+      "epoch": 0.2899751449875725,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00017449999999999999,
+      "loss": 6.6939,
+      "mean_token_accuracy": 0.09877684414386749,
+      "num_tokens": 643251.0,
+      "step": 350
+    },
+    {
+      "entropy": 6.99584732055664,
+      "epoch": 0.29411764705882354,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000177,
+      "loss": 6.7635,
+      "mean_token_accuracy": 0.09713540598750114,
+      "num_tokens": 652005.0,
+      "step": 355
+    },
+    {
+      "entropy": 7.006586170196533,
+      "epoch": 0.2982601491300746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0001795,
+      "loss": 6.6575,
+      "mean_token_accuracy": 0.10120807588100433,
+      "num_tokens": 661003.0,
+      "step": 360
+    },
+    {
+      "entropy": 6.874996137619019,
+      "epoch": 0.3024026512013256,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000182,
+      "loss": 6.6294,
+      "mean_token_accuracy": 0.09844254851341247,
+      "num_tokens": 670221.0,
+      "step": 365
+    },
+    {
+      "entropy": 7.155635738372803,
+      "epoch": 0.30654515327257664,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001845,
+      "loss": 6.9236,
+      "mean_token_accuracy": 0.0882349319756031,
+      "num_tokens": 680756.0,
+      "step": 370
+    },
+    {
+      "entropy": 6.94540753364563,
+      "epoch": 0.3106876553438277,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000187,
+      "loss": 6.6157,
+      "mean_token_accuracy": 0.10289054960012436,
+      "num_tokens": 689641.0,
+      "step": 375
+    },
+    {
+      "entropy": 6.87992377281189,
+      "epoch": 0.3148301574150787,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001895,
+      "loss": 6.5696,
+      "mean_token_accuracy": 0.09839320331811904,
+      "num_tokens": 698209.0,
+      "step": 380
+    },
+    {
+      "entropy": 6.823869276046753,
+      "epoch": 0.31897265948632975,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000192,
+      "loss": 6.5736,
+      "mean_token_accuracy": 0.10355777889490128,
+      "num_tokens": 706712.0,
+      "step": 385
+    },
+    {
+      "entropy": 7.037634468078613,
+      "epoch": 0.3231151615575808,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0001945,
+      "loss": 6.8017,
+      "mean_token_accuracy": 0.09728012606501579,
+      "num_tokens": 716087.0,
+      "step": 390
+    },
+    {
+      "entropy": 6.911249494552612,
+      "epoch": 0.3272576636288318,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00019700000000000002,
+      "loss": 6.6465,
+      "mean_token_accuracy": 0.09347675815224647,
+      "num_tokens": 725913.0,
+      "step": 395
+    },
+    {
+      "entropy": 6.944440317153931,
+      "epoch": 0.33140016570008285,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019950000000000002,
+      "loss": 6.7201,
+      "mean_token_accuracy": 0.10362306237220764,
+      "num_tokens": 735020.0,
+      "step": 400
+    },
+    {
+      "entropy": 6.985636854171753,
+      "epoch": 0.3355426677713339,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000202,
+      "loss": 6.6216,
+      "mean_token_accuracy": 0.09469136893749237,
+      "num_tokens": 744299.0,
+      "step": 405
+    },
+    {
+      "entropy": 6.883630275726318,
+      "epoch": 0.3396851698425849,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00020449999999999998,
+      "loss": 6.6099,
+      "mean_token_accuracy": 0.09694516137242318,
+      "num_tokens": 753231.0,
+      "step": 410
+    },
+    {
+      "entropy": 6.825357389450073,
+      "epoch": 0.34382767191383595,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000207,
+      "loss": 6.6717,
+      "mean_token_accuracy": 0.10230854973196983,
+      "num_tokens": 763043.0,
+      "step": 415
+    },
+    {
+      "entropy": 7.016851997375488,
+      "epoch": 0.347970173985087,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0002095,
+      "loss": 6.6905,
+      "mean_token_accuracy": 0.09913048222661018,
+      "num_tokens": 771977.0,
+      "step": 420
+    },
+    {
+      "entropy": 6.820244407653808,
+      "epoch": 0.352112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000212,
+      "loss": 6.6243,
+      "mean_token_accuracy": 0.1011092983186245,
+      "num_tokens": 780285.0,
+      "step": 425
+    },
+    {
+      "entropy": 6.956075525283813,
+      "epoch": 0.35625517812758906,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002145,
+      "loss": 6.6593,
+      "mean_token_accuracy": 0.09649045094847679,
+      "num_tokens": 789980.0,
+      "step": 430
+    },
+    {
+      "entropy": 6.984846019744873,
+      "epoch": 0.3603976801988401,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021700000000000002,
+      "loss": 6.6275,
+      "mean_token_accuracy": 0.10474459528923034,
+      "num_tokens": 798700.0,
+      "step": 435
+    },
+    {
+      "entropy": 6.767291498184204,
+      "epoch": 0.36454018227009116,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002195,
+      "loss": 6.7208,
+      "mean_token_accuracy": 0.09600067660212516,
+      "num_tokens": 808758.0,
+      "step": 440
+    },
+    {
+      "entropy": 7.046369791030884,
+      "epoch": 0.36868268434134216,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000222,
+      "loss": 6.6666,
+      "mean_token_accuracy": 0.10458802133798599,
+      "num_tokens": 817692.0,
+      "step": 445
+    },
+    {
+      "entropy": 6.95425066947937,
+      "epoch": 0.3728251864125932,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002245,
+      "loss": 6.7146,
+      "mean_token_accuracy": 0.10474570766091347,
+      "num_tokens": 827052.0,
+      "step": 450
+    },
+    {
+      "entropy": 6.895345544815063,
+      "epoch": 0.37696768848384427,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00022700000000000002,
+      "loss": 6.7139,
+      "mean_token_accuracy": 0.1091882586479187,
+      "num_tokens": 836442.0,
+      "step": 455
+    },
+    {
+      "entropy": 6.922871923446655,
+      "epoch": 0.38111019055509526,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00022950000000000002,
+      "loss": 6.5775,
+      "mean_token_accuracy": 0.10118989571928978,
+      "num_tokens": 846441.0,
+      "step": 460
+    },
+    {
+      "entropy": 6.8815388679504395,
+      "epoch": 0.3852526926263463,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00023200000000000003,
+      "loss": 6.6215,
+      "mean_token_accuracy": 0.10475475937128068,
+      "num_tokens": 856108.0,
+      "step": 465
+    },
+    {
+      "entropy": 6.848587274551392,
+      "epoch": 0.38939519469759737,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00023449999999999998,
+      "loss": 6.5833,
+      "mean_token_accuracy": 0.10137399956583977,
+      "num_tokens": 865788.0,
+      "step": 470
+    },
+    {
+      "entropy": 6.886804008483887,
+      "epoch": 0.39353769676884837,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000237,
+      "loss": 6.6302,
+      "mean_token_accuracy": 0.09514767676591873,
+      "num_tokens": 874833.0,
+      "step": 475
+    },
+    {
+      "entropy": 6.751422643661499,
+      "epoch": 0.3976801988400994,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002395,
+      "loss": 6.5997,
+      "mean_token_accuracy": 0.10276172533631325,
+      "num_tokens": 883685.0,
+      "step": 480
+    },
+    {
+      "entropy": 6.881311464309692,
+      "epoch": 0.40182270091135047,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000242,
+      "loss": 6.6001,
+      "mean_token_accuracy": 0.09796027019619942,
+      "num_tokens": 893908.0,
+      "step": 485
+    },
+    {
+      "entropy": 6.934821891784668,
+      "epoch": 0.40596520298260147,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002445,
+      "loss": 6.7142,
+      "mean_token_accuracy": 0.09827135354280472,
+      "num_tokens": 903081.0,
+      "step": 490
+    },
+    {
+      "entropy": 6.7868632793426515,
+      "epoch": 0.4101077050538525,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000247,
+      "loss": 6.5522,
+      "mean_token_accuracy": 0.10336750745773315,
+      "num_tokens": 912515.0,
+      "step": 495
+    },
+    {
+      "entropy": 6.886235475540161,
+      "epoch": 0.4142502071251036,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002495,
+      "loss": 6.5797,
+      "mean_token_accuracy": 0.1070313923060894,
+      "num_tokens": 921056.0,
+      "step": 500
+    },
+    {
+      "epoch": 0.4142502071251036,
+      "eval_entropy": 6.836038604728194,
+      "eval_loss": 6.684774875640869,
+      "eval_mean_token_accuracy": 0.10272799217021034,
+      "eval_num_tokens": 921056.0,
+      "eval_runtime": 2.7891,
+      "eval_samples_per_second": 1343.421,
+      "eval_steps_per_second": 168.152,
+      "step": 500
+    },
+    {
+      "entropy": 6.7657403469085695,
+      "epoch": 0.4183927091963546,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000252,
+      "loss": 6.5317,
+      "mean_token_accuracy": 0.10417452603578567,
+      "num_tokens": 931112.0,
+      "step": 505
+    },
+    {
+      "entropy": 6.821895503997803,
+      "epoch": 0.4225352112676056,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0002545,
+      "loss": 6.6605,
+      "mean_token_accuracy": 0.0978618748486042,
+      "num_tokens": 941120.0,
+      "step": 510
+    },
+    {
+      "entropy": 6.886211729049682,
+      "epoch": 0.4266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000257,
+      "loss": 6.6044,
+      "mean_token_accuracy": 0.09737976416945457,
+      "num_tokens": 950041.0,
+      "step": 515
+    },
+    {
+      "entropy": 6.879851579666138,
+      "epoch": 0.43082021541010773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002595,
+      "loss": 6.5907,
+      "mean_token_accuracy": 0.10606569275259972,
+      "num_tokens": 958608.0,
+      "step": 520
+    },
+    {
+      "entropy": 6.886484861373901,
+      "epoch": 0.43496271748135873,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.000262,
+      "loss": 6.7158,
+      "mean_token_accuracy": 0.09990910813212395,
+      "num_tokens": 966901.0,
+      "step": 525
+    },
+    {
+      "entropy": 6.767313003540039,
+      "epoch": 0.4391052195526098,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026450000000000003,
+      "loss": 6.5504,
+      "mean_token_accuracy": 0.10768762230873108,
+      "num_tokens": 976198.0,
+      "step": 530
+    },
+    {
+      "entropy": 6.892781782150268,
+      "epoch": 0.44324772162386084,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026700000000000004,
+      "loss": 6.624,
+      "mean_token_accuracy": 0.09861580505967141,
+      "num_tokens": 985248.0,
+      "step": 535
+    },
+    {
+      "entropy": 6.772344255447388,
+      "epoch": 0.44739022369511183,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00026950000000000005,
+      "loss": 6.5014,
+      "mean_token_accuracy": 0.1071978710591793,
+      "num_tokens": 993289.0,
+      "step": 540
+    },
+    {
+      "entropy": 6.820696449279785,
+      "epoch": 0.4515327257663629,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027200000000000005,
+      "loss": 6.5909,
+      "mean_token_accuracy": 0.10533165782690049,
+      "num_tokens": 1001784.0,
+      "step": 545
+    },
+    {
+      "entropy": 6.935409688949585,
+      "epoch": 0.45567522783761394,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002745,
+      "loss": 6.5627,
+      "mean_token_accuracy": 0.10804210156202317,
+      "num_tokens": 1010445.0,
+      "step": 550
+    },
+    {
+      "entropy": 6.745790100097656,
+      "epoch": 0.45981772990886494,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000277,
+      "loss": 6.6184,
+      "mean_token_accuracy": 0.10709234476089477,
+      "num_tokens": 1019084.0,
+      "step": 555
+    },
+    {
+      "entropy": 6.7490733623504635,
+      "epoch": 0.463960231980116,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002795,
+      "loss": 6.5249,
+      "mean_token_accuracy": 0.10461713373661041,
+      "num_tokens": 1027263.0,
+      "step": 560
+    },
+    {
+      "entropy": 6.876884937286377,
+      "epoch": 0.46810273405136704,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00028199999999999997,
+      "loss": 6.6233,
+      "mean_token_accuracy": 0.09752989709377288,
+      "num_tokens": 1036275.0,
+      "step": 565
+    },
+    {
+      "entropy": 6.765736055374146,
+      "epoch": 0.47224523612261804,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002845,
+      "loss": 6.7015,
+      "mean_token_accuracy": 0.09858408868312836,
+      "num_tokens": 1045208.0,
+      "step": 570
+    },
+    {
+      "entropy": 6.9024957656860355,
+      "epoch": 0.4763877381938691,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000287,
+      "loss": 6.6287,
+      "mean_token_accuracy": 0.1026283286511898,
+      "num_tokens": 1054703.0,
+      "step": 575
+    },
+    {
+      "entropy": 6.647345924377442,
+      "epoch": 0.48053024026512015,
+      "grad_norm": 1.5,
+      "learning_rate": 0.0002895,
+      "loss": 6.4841,
+      "mean_token_accuracy": 0.10212503597140313,
+      "num_tokens": 1063652.0,
+      "step": 580
+    },
+    {
+      "entropy": 6.717900657653809,
+      "epoch": 0.48467274233637114,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000292,
+      "loss": 6.5873,
+      "mean_token_accuracy": 0.10145951434969902,
+      "num_tokens": 1072070.0,
+      "step": 585
+    },
+    {
+      "entropy": 6.997959756851197,
+      "epoch": 0.4888152444076222,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002945,
+      "loss": 6.6143,
+      "mean_token_accuracy": 0.10064447894692422,
+      "num_tokens": 1079992.0,
+      "step": 590
+    },
+    {
+      "entropy": 6.657160854339599,
+      "epoch": 0.49295774647887325,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000297,
+      "loss": 6.628,
+      "mean_token_accuracy": 0.10435748845338821,
+      "num_tokens": 1088862.0,
+      "step": 595
+    },
+    {
+      "entropy": 6.773271942138672,
+      "epoch": 0.4971002485501243,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002995,
+      "loss": 6.4317,
+      "mean_token_accuracy": 0.10795770138502121,
+      "num_tokens": 1097614.0,
+      "step": 600
+    },
+    {
+      "entropy": 6.7102379322052,
+      "epoch": 0.5012427506213754,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000302,
+      "loss": 6.6288,
+      "mean_token_accuracy": 0.10706980749964715,
+      "num_tokens": 1107347.0,
+      "step": 605
+    },
+    {
+      "entropy": 6.8672473430633545,
+      "epoch": 0.5053852526926264,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003045,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10073774978518486,
+      "num_tokens": 1116707.0,
+      "step": 610
+    },
+    {
+      "entropy": 6.764383840560913,
+      "epoch": 0.5095277547638773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000307,
+      "loss": 6.6549,
+      "mean_token_accuracy": 0.10234303548932075,
+      "num_tokens": 1126356.0,
+      "step": 615
+    },
+    {
+      "entropy": 6.787193298339844,
+      "epoch": 0.5136702568351285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003095,
+      "loss": 6.5847,
+      "mean_token_accuracy": 0.10079671740531922,
+      "num_tokens": 1136281.0,
+      "step": 620
+    },
+    {
+      "entropy": 6.713733196258545,
+      "epoch": 0.5178127589063795,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000312,
+      "loss": 6.5355,
+      "mean_token_accuracy": 0.10429632142186165,
+      "num_tokens": 1145466.0,
+      "step": 625
+    },
+    {
+      "entropy": 6.7503923892974855,
+      "epoch": 0.5219552609776305,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003145,
+      "loss": 6.5409,
+      "mean_token_accuracy": 0.10918259546160698,
+      "num_tokens": 1154225.0,
+      "step": 630
+    },
+    {
+      "entropy": 6.761834907531738,
+      "epoch": 0.5260977630488816,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000317,
+      "loss": 6.5885,
+      "mean_token_accuracy": 0.09673135951161385,
+      "num_tokens": 1163872.0,
+      "step": 635
+    },
+    {
+      "entropy": 6.69431324005127,
+      "epoch": 0.5302402651201326,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003195,
+      "loss": 6.5244,
+      "mean_token_accuracy": 0.10705070868134499,
+      "num_tokens": 1172695.0,
+      "step": 640
+    },
+    {
+      "entropy": 6.651590061187744,
+      "epoch": 0.5343827671913836,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000322,
+      "loss": 6.3962,
+      "mean_token_accuracy": 0.11006554961204529,
+      "num_tokens": 1181291.0,
+      "step": 645
+    },
+    {
+      "entropy": 6.782713270187378,
+      "epoch": 0.5385252692626347,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00032450000000000003,
+      "loss": 6.5715,
+      "mean_token_accuracy": 0.10394523739814758,
+      "num_tokens": 1189927.0,
+      "step": 650
+    },
+    {
+      "entropy": 6.705166435241699,
+      "epoch": 0.5426677713338857,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00032700000000000003,
+      "loss": 6.5043,
+      "mean_token_accuracy": 0.10940467119216919,
+      "num_tokens": 1197913.0,
+      "step": 655
+    },
+    {
+      "entropy": 6.670699262619019,
+      "epoch": 0.5468102734051367,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032950000000000004,
+      "loss": 6.4309,
+      "mean_token_accuracy": 0.11147961542010307,
+      "num_tokens": 1207032.0,
+      "step": 660
+    },
+    {
+      "entropy": 6.640204334259034,
+      "epoch": 0.5509527754763878,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00033200000000000005,
+      "loss": 6.5397,
+      "mean_token_accuracy": 0.10571447387337685,
+      "num_tokens": 1215710.0,
+      "step": 665
+    },
+    {
+      "entropy": 6.694819068908691,
+      "epoch": 0.5550952775476388,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033450000000000005,
+      "loss": 6.52,
+      "mean_token_accuracy": 0.10049431845545768,
+      "num_tokens": 1225619.0,
+      "step": 670
+    },
+    {
+      "entropy": 6.649594163894653,
+      "epoch": 0.5592377796188898,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000337,
+      "loss": 6.4407,
+      "mean_token_accuracy": 0.11157044768333435,
+      "num_tokens": 1235000.0,
+      "step": 675
+    },
+    {
+      "entropy": 6.612611961364746,
+      "epoch": 0.5633802816901409,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003395,
+      "loss": 6.4462,
+      "mean_token_accuracy": 0.108580531924963,
+      "num_tokens": 1243594.0,
+      "step": 680
+    },
+    {
+      "entropy": 6.843221950531006,
+      "epoch": 0.5675227837613919,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000342,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10460855960845947,
+      "num_tokens": 1252279.0,
+      "step": 685
+    },
+    {
+      "entropy": 6.760235929489136,
+      "epoch": 0.5716652858326429,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034449999999999997,
+      "loss": 6.559,
+      "mean_token_accuracy": 0.10665302500128745,
+      "num_tokens": 1261314.0,
+      "step": 690
+    },
+    {
+      "entropy": 6.55326566696167,
+      "epoch": 0.575807787903894,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000347,
+      "loss": 6.4337,
+      "mean_token_accuracy": 0.11188110187649727,
+      "num_tokens": 1270854.0,
+      "step": 695
+    },
+    {
+      "entropy": 6.618375587463379,
+      "epoch": 0.579950289975145,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003495,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.11392810270190239,
+      "num_tokens": 1279183.0,
+      "step": 700
+    },
+    {
+      "entropy": 6.626208257675171,
+      "epoch": 0.584092792046396,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000352,
+      "loss": 6.5015,
+      "mean_token_accuracy": 0.10761247500777245,
+      "num_tokens": 1288347.0,
+      "step": 705
+    },
+    {
+      "entropy": 6.6855669021606445,
+      "epoch": 0.5882352941176471,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003545,
+      "loss": 6.5036,
+      "mean_token_accuracy": 0.10823310390114785,
+      "num_tokens": 1297449.0,
+      "step": 710
+    },
+    {
+      "entropy": 6.710147094726563,
+      "epoch": 0.5923777961888981,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000357,
+      "loss": 6.4688,
+      "mean_token_accuracy": 0.10904998034238815,
+      "num_tokens": 1306232.0,
+      "step": 715
+    },
+    {
+      "entropy": 6.6553794860839846,
+      "epoch": 0.5965202982601492,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003595,
+      "loss": 6.4857,
+      "mean_token_accuracy": 0.11109372302889824,
+      "num_tokens": 1315073.0,
+      "step": 720
+    },
+    {
+      "entropy": 6.674065732955933,
+      "epoch": 0.6006628003314002,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000362,
+      "loss": 6.5301,
+      "mean_token_accuracy": 0.10648825243115426,
+      "num_tokens": 1324629.0,
+      "step": 725
+    },
+    {
+      "entropy": 6.700368881225586,
+      "epoch": 0.6048053024026512,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0003645,
+      "loss": 6.6444,
+      "mean_token_accuracy": 0.10443340390920638,
+      "num_tokens": 1334152.0,
+      "step": 730
+    },
+    {
+      "entropy": 6.779498624801636,
+      "epoch": 0.6089478044739023,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000367,
+      "loss": 6.5946,
+      "mean_token_accuracy": 0.10130336955189705,
+      "num_tokens": 1343063.0,
+      "step": 735
+    },
+    {
+      "entropy": 6.684298419952393,
+      "epoch": 0.6130903065451533,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0003695,
+      "loss": 6.5241,
+      "mean_token_accuracy": 0.10516620799899101,
+      "num_tokens": 1352632.0,
+      "step": 740
+    },
+    {
+      "entropy": 6.582866573333741,
+      "epoch": 0.6172328086164043,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000372,
+      "loss": 6.4712,
+      "mean_token_accuracy": 0.10765027329325676,
+      "num_tokens": 1361103.0,
+      "step": 745
+    },
+    {
+      "entropy": 6.643687963485718,
+      "epoch": 0.6213753106876554,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003745,
+      "loss": 6.4642,
+      "mean_token_accuracy": 0.10832677409052849,
+      "num_tokens": 1370658.0,
+      "step": 750
+    },
+    {
+      "entropy": 6.64506516456604,
+      "epoch": 0.6255178127589064,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000377,
+      "loss": 6.4878,
+      "mean_token_accuracy": 0.10808288529515267,
+      "num_tokens": 1379817.0,
+      "step": 755
+    },
+    {
+      "entropy": 6.640752458572388,
+      "epoch": 0.6296603148301574,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003795,
+      "loss": 6.4418,
+      "mean_token_accuracy": 0.10874675288796425,
+      "num_tokens": 1389329.0,
+      "step": 760
+    },
+    {
+      "entropy": 6.4627049446105955,
+      "epoch": 0.6338028169014085,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000382,
+      "loss": 6.4902,
+      "mean_token_accuracy": 0.10606684386730195,
+      "num_tokens": 1399279.0,
+      "step": 765
+    },
+    {
+      "entropy": 6.621781063079834,
+      "epoch": 0.6379453189726595,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003845,
+      "loss": 6.4146,
+      "mean_token_accuracy": 0.11267002299427986,
+      "num_tokens": 1408765.0,
+      "step": 770
+    },
+    {
+      "entropy": 6.736465692520142,
+      "epoch": 0.6420878210439105,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038700000000000003,
+      "loss": 6.5632,
+      "mean_token_accuracy": 0.10607504546642303,
+      "num_tokens": 1418615.0,
+      "step": 775
+    },
+    {
+      "entropy": 6.616378879547119,
+      "epoch": 0.6462303231151616,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038950000000000003,
+      "loss": 6.4664,
+      "mean_token_accuracy": 0.10207068845629692,
+      "num_tokens": 1427359.0,
+      "step": 780
+    },
+    {
+      "entropy": 6.70065336227417,
+      "epoch": 0.6503728251864126,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00039200000000000004,
+      "loss": 6.622,
+      "mean_token_accuracy": 0.1116428442299366,
+      "num_tokens": 1435516.0,
+      "step": 785
+    },
+    {
+      "entropy": 6.709064102172851,
+      "epoch": 0.6545153272576636,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00039450000000000005,
+      "loss": 6.5704,
+      "mean_token_accuracy": 0.10583743155002594,
+      "num_tokens": 1444438.0,
+      "step": 790
+    },
+    {
+      "entropy": 6.671351766586303,
+      "epoch": 0.6586578293289147,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00039700000000000005,
+      "loss": 6.4996,
+      "mean_token_accuracy": 0.11326526403427124,
+      "num_tokens": 1453740.0,
+      "step": 795
+    },
+    {
+      "entropy": 6.614573907852173,
+      "epoch": 0.6628003314001657,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003995,
+      "loss": 6.4874,
+      "mean_token_accuracy": 0.11111863479018211,
+      "num_tokens": 1462083.0,
+      "step": 800
+    },
+    {
+      "entropy": 6.484545516967773,
+      "epoch": 0.6669428334714167,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000402,
+      "loss": 6.4127,
+      "mean_token_accuracy": 0.1100592203438282,
+      "num_tokens": 1471459.0,
+      "step": 805
+    },
+    {
+      "entropy": 6.621589279174804,
+      "epoch": 0.6710853355426678,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004045,
+      "loss": 6.3972,
+      "mean_token_accuracy": 0.11681128293275833,
+      "num_tokens": 1480516.0,
+      "step": 810
+    },
+    {
+      "entropy": 6.421737241744995,
+      "epoch": 0.6752278376139188,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00040699999999999997,
+      "loss": 6.3,
+      "mean_token_accuracy": 0.11318568140268326,
+      "num_tokens": 1489268.0,
+      "step": 815
+    },
+    {
+      "entropy": 6.700246906280517,
+      "epoch": 0.6793703396851698,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004095,
+      "loss": 6.5174,
+      "mean_token_accuracy": 0.11110908538103104,
+      "num_tokens": 1498819.0,
+      "step": 820
+    },
+    {
+      "entropy": 6.622490644454956,
+      "epoch": 0.6835128417564209,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000412,
+      "loss": 6.501,
+      "mean_token_accuracy": 0.11033953949809075,
+      "num_tokens": 1507852.0,
+      "step": 825
+    },
+    {
+      "entropy": 6.59730544090271,
+      "epoch": 0.6876553438276719,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004145,
+      "loss": 6.5302,
+      "mean_token_accuracy": 0.11122860461473465,
+      "num_tokens": 1517538.0,
+      "step": 830
+    },
+    {
+      "entropy": 6.458763217926025,
+      "epoch": 0.6917978458989229,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000417,
+      "loss": 6.4061,
+      "mean_token_accuracy": 0.11324542313814163,
+      "num_tokens": 1525389.0,
+      "step": 835
+    },
+    {
+      "entropy": 6.57511887550354,
+      "epoch": 0.695940347970174,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004195,
+      "loss": 6.3741,
+      "mean_token_accuracy": 0.11116622686386109,
+      "num_tokens": 1534117.0,
+      "step": 840
+    },
+    {
+      "entropy": 6.522304344177246,
+      "epoch": 0.700082850041425,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000422,
+      "loss": 6.4029,
+      "mean_token_accuracy": 0.11315450444817543,
+      "num_tokens": 1542610.0,
+      "step": 845
+    },
+    {
+      "entropy": 6.5175107479095455,
+      "epoch": 0.704225352112676,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004245,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.1143906556069851,
+      "num_tokens": 1551771.0,
+      "step": 850
+    },
+    {
+      "entropy": 6.620167636871338,
+      "epoch": 0.7083678541839271,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.000427,
+      "loss": 6.5779,
+      "mean_token_accuracy": 0.10512799099087715,
+      "num_tokens": 1560231.0,
+      "step": 855
+    },
+    {
+      "entropy": 6.589151382446289,
+      "epoch": 0.7125103562551781,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004295,
+      "loss": 6.5346,
+      "mean_token_accuracy": 0.10532297939062119,
+      "num_tokens": 1569578.0,
+      "step": 860
+    },
+    {
+      "entropy": 6.563750839233398,
+      "epoch": 0.7166528583264291,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000432,
+      "loss": 6.4187,
+      "mean_token_accuracy": 0.11381370946764946,
+      "num_tokens": 1579308.0,
+      "step": 865
+    },
+    {
+      "entropy": 6.597287034988403,
+      "epoch": 0.7207953603976802,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004345,
+      "loss": 6.6081,
+      "mean_token_accuracy": 0.10267190784215927,
+      "num_tokens": 1589506.0,
+      "step": 870
+    },
+    {
+      "entropy": 6.482245397567749,
+      "epoch": 0.7249378624689312,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000437,
+      "loss": 6.3671,
+      "mean_token_accuracy": 0.11368186473846435,
+      "num_tokens": 1598127.0,
+      "step": 875
+    },
+    {
+      "entropy": 6.548954200744629,
+      "epoch": 0.7290803645401823,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004395,
+      "loss": 6.4125,
+      "mean_token_accuracy": 0.11406067088246345,
+      "num_tokens": 1608073.0,
+      "step": 880
+    },
+    {
+      "entropy": 6.551317119598389,
+      "epoch": 0.7332228666114333,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000442,
+      "loss": 6.4304,
+      "mean_token_accuracy": 0.11178040653467178,
+      "num_tokens": 1616272.0,
+      "step": 885
+    },
+    {
+      "entropy": 6.496135663986206,
+      "epoch": 0.7373653686826843,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004445,
+      "loss": 6.447,
+      "mean_token_accuracy": 0.10845504105091094,
+      "num_tokens": 1625577.0,
+      "step": 890
+    },
+    {
+      "entropy": 6.685812950134277,
+      "epoch": 0.7415078707539354,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000447,
+      "loss": 6.533,
+      "mean_token_accuracy": 0.10158233270049095,
+      "num_tokens": 1634902.0,
+      "step": 895
+    },
+    {
+      "entropy": 6.520436191558838,
+      "epoch": 0.7456503728251864,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00044950000000000003,
+      "loss": 6.4674,
+      "mean_token_accuracy": 0.10865833014249801,
+      "num_tokens": 1644131.0,
+      "step": 900
+    },
+    {
+      "entropy": 6.461379718780518,
+      "epoch": 0.7497928748964374,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00045200000000000004,
+      "loss": 6.3694,
+      "mean_token_accuracy": 0.12158194407820702,
+      "num_tokens": 1652272.0,
+      "step": 905
+    },
+    {
+      "entropy": 6.533070278167725,
+      "epoch": 0.7539353769676885,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00045450000000000004,
+      "loss": 6.4632,
+      "mean_token_accuracy": 0.11447574123740197,
+      "num_tokens": 1660962.0,
+      "step": 910
+    },
+    {
+      "entropy": 6.475569725036621,
+      "epoch": 0.7580778790389395,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045700000000000005,
+      "loss": 6.4006,
+      "mean_token_accuracy": 0.11205699220299721,
+      "num_tokens": 1670570.0,
+      "step": 915
+    },
+    {
+      "entropy": 6.526782608032226,
+      "epoch": 0.7622203811101905,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00045950000000000006,
+      "loss": 6.4497,
+      "mean_token_accuracy": 0.1096197433769703,
+      "num_tokens": 1679674.0,
+      "step": 920
+    },
+    {
+      "entropy": 6.530770015716553,
+      "epoch": 0.7663628831814416,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000462,
+      "loss": 6.4324,
+      "mean_token_accuracy": 0.11466658413410187,
+      "num_tokens": 1688849.0,
+      "step": 925
+    },
+    {
+      "entropy": 6.4163538932800295,
+      "epoch": 0.7705053852526926,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004645,
+      "loss": 6.3128,
+      "mean_token_accuracy": 0.1098814107477665,
+      "num_tokens": 1698565.0,
+      "step": 930
+    },
+    {
+      "entropy": 6.5036052703857425,
+      "epoch": 0.7746478873239436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000467,
+      "loss": 6.3986,
+      "mean_token_accuracy": 0.11683695837855339,
+      "num_tokens": 1708009.0,
+      "step": 935
+    },
+    {
+      "entropy": 6.518198871612549,
+      "epoch": 0.7787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004695,
+      "loss": 6.3878,
+      "mean_token_accuracy": 0.1126109592616558,
+      "num_tokens": 1716497.0,
+      "step": 940
+    },
+    {
+      "entropy": 6.415347719192505,
+      "epoch": 0.7829328914664457,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000472,
+      "loss": 6.4082,
+      "mean_token_accuracy": 0.12070046439766884,
+      "num_tokens": 1725609.0,
+      "step": 945
+    },
+    {
+      "entropy": 6.477306175231933,
+      "epoch": 0.7870753935376967,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004745,
+      "loss": 6.3456,
+      "mean_token_accuracy": 0.11454906165599824,
+      "num_tokens": 1734165.0,
+      "step": 950
+    },
+    {
+      "entropy": 6.454520893096924,
+      "epoch": 0.7912178956089478,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000477,
+      "loss": 6.4546,
+      "mean_token_accuracy": 0.10918105840682983,
+      "num_tokens": 1744856.0,
+      "step": 955
+    },
+    {
+      "entropy": 6.4711943626403805,
+      "epoch": 0.7953603976801988,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004795,
+      "loss": 6.4509,
+      "mean_token_accuracy": 0.10578904524445534,
+      "num_tokens": 1753386.0,
+      "step": 960
+    },
+    {
+      "entropy": 6.4536961078643795,
+      "epoch": 0.7995028997514498,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000482,
+      "loss": 6.3053,
+      "mean_token_accuracy": 0.11872726455330848,
+      "num_tokens": 1762521.0,
+      "step": 965
+    },
+    {
+      "entropy": 6.34936490058899,
+      "epoch": 0.8036454018227009,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004845,
+      "loss": 6.3765,
+      "mean_token_accuracy": 0.11444728896021843,
+      "num_tokens": 1772403.0,
+      "step": 970
+    },
+    {
+      "entropy": 6.375087881088257,
+      "epoch": 0.8077879038939519,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000487,
+      "loss": 6.2884,
+      "mean_token_accuracy": 0.11179185584187508,
+      "num_tokens": 1780924.0,
+      "step": 975
+    },
+    {
+      "entropy": 6.547906732559204,
+      "epoch": 0.8119304059652029,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004895,
+      "loss": 6.4367,
+      "mean_token_accuracy": 0.11225800514221192,
+      "num_tokens": 1789992.0,
+      "step": 980
+    },
+    {
+      "entropy": 6.421040678024292,
+      "epoch": 0.816072908036454,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000492,
+      "loss": 6.3919,
+      "mean_token_accuracy": 0.11761699616909027,
+      "num_tokens": 1799513.0,
+      "step": 985
+    },
+    {
+      "entropy": 6.332476711273193,
+      "epoch": 0.820215410107705,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0004945,
+      "loss": 6.2287,
+      "mean_token_accuracy": 0.11279567033052444,
+      "num_tokens": 1807393.0,
+      "step": 990
+    },
+    {
+      "entropy": 6.438618326187134,
+      "epoch": 0.824357912178956,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000497,
+      "loss": 6.5079,
+      "mean_token_accuracy": 0.10579989776015282,
+      "num_tokens": 1817284.0,
+      "step": 995
+    },
+    {
+      "entropy": 6.449818515777588,
+      "epoch": 0.8285004142502072,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004995,
+      "loss": 6.2996,
+      "mean_token_accuracy": 0.11799877136945724,
+      "num_tokens": 1825591.0,
+      "step": 1000
+    },
+    {
+      "epoch": 0.8285004142502072,
+      "eval_entropy": 6.222835092402216,
+      "eval_loss": 6.475013256072998,
+      "eval_mean_token_accuracy": 0.11269166863866961,
+      "eval_num_tokens": 1825591.0,
+      "eval_runtime": 2.7611,
+      "eval_samples_per_second": 1357.068,
+      "eval_steps_per_second": 169.86,
+      "step": 1000
+    },
+    {
+      "entropy": 6.457831478118896,
+      "epoch": 0.8326429163214581,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0004999998547681232,
+      "loss": 6.3959,
+      "mean_token_accuracy": 0.11798396334052086,
+      "num_tokens": 1834655.0,
+      "step": 1005
+    },
+    {
+      "entropy": 6.26599349975586,
+      "epoch": 0.8367854183927091,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004999992647639447,
+      "loss": 6.2578,
+      "mean_token_accuracy": 0.11858200430870056,
+      "num_tokens": 1844187.0,
+      "step": 1010
+    },
+    {
+      "entropy": 6.415271520614624,
+      "epoch": 0.8409279204639603,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999982209116618,
+      "loss": 6.3345,
+      "mean_token_accuracy": 0.11406200677156449,
+      "num_tokens": 1852768.0,
+      "step": 1015
+    },
+    {
+      "entropy": 6.355557584762574,
+      "epoch": 0.8450704225352113,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004999967232133796,
+      "loss": 6.3913,
+      "mean_token_accuracy": 0.12348653748631477,
+      "num_tokens": 1862095.0,
+      "step": 1020
+    },
+    {
+      "entropy": 6.427043008804321,
+      "epoch": 0.8492129246064622,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004999947716721196,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.10961534604430198,
+      "num_tokens": 1871239.0,
+      "step": 1025
+    },
+    {
+      "entropy": 6.509608554840088,
+      "epoch": 0.8533554266777134,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004999923662918179,
+      "loss": 6.4323,
+      "mean_token_accuracy": 0.11334251016378402,
+      "num_tokens": 1880065.0,
+      "step": 1030
+    },
+    {
+      "entropy": 6.417975521087646,
+      "epoch": 0.8574979287489644,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999895070773266,
+      "loss": 6.4608,
+      "mean_token_accuracy": 0.10985229611396789,
+      "num_tokens": 1889065.0,
+      "step": 1035
+    },
+    {
+      "entropy": 6.429206514358521,
+      "epoch": 0.8616404308202155,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999861940344129,
+      "loss": 6.4721,
+      "mean_token_accuracy": 0.11190373301506043,
+      "num_tokens": 1898238.0,
+      "step": 1040
+    },
+    {
+      "entropy": 6.462369585037232,
+      "epoch": 0.8657829328914665,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004999824271697597,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.12136606723070145,
+      "num_tokens": 1906780.0,
+      "step": 1045
+    },
+    {
+      "entropy": 6.506088638305664,
+      "epoch": 0.8699254349627175,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000499978206490965,
+      "loss": 6.4745,
+      "mean_token_accuracy": 0.11197563111782075,
+      "num_tokens": 1916183.0,
+      "step": 1050
+    },
+    {
+      "entropy": 6.427097368240356,
+      "epoch": 0.8740679370339686,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999735320065427,
+      "loss": 6.3371,
+      "mean_token_accuracy": 0.11927392706274986,
+      "num_tokens": 1925382.0,
+      "step": 1055
+    },
+    {
+      "entropy": 6.292429256439209,
+      "epoch": 0.8782104391052196,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999684037259216,
+      "loss": 6.1827,
+      "mean_token_accuracy": 0.1270924136042595,
+      "num_tokens": 1933639.0,
+      "step": 1060
+    },
+    {
+      "entropy": 6.3600146770477295,
+      "epoch": 0.8823529411764706,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999628216594456,
+      "loss": 6.464,
+      "mean_token_accuracy": 0.11409285366535186,
+      "num_tokens": 1943044.0,
+      "step": 1065
+    },
+    {
+      "entropy": 6.460871028900146,
+      "epoch": 0.8864954432477217,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000499956785818375,
+      "loss": 6.303,
+      "mean_token_accuracy": 0.11871922463178634,
+      "num_tokens": 1951777.0,
+      "step": 1070
+    },
+    {
+      "entropy": 6.376981210708618,
+      "epoch": 0.8906379453189727,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004999502962148843,
+      "loss": 6.3666,
+      "mean_token_accuracy": 0.1170460693538189,
+      "num_tokens": 1961356.0,
+      "step": 1075
+    },
+    {
+      "entropy": 6.439280414581299,
+      "epoch": 0.8947804473902237,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000499943352862064,
+      "loss": 6.4248,
+      "mean_token_accuracy": 0.11459407210350037,
+      "num_tokens": 1970341.0,
+      "step": 1080
+    },
+    {
+      "entropy": 6.394289827346801,
+      "epoch": 0.8989229494614748,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004999359557739194,
+      "loss": 6.2796,
+      "mean_token_accuracy": 0.12198276743292809,
+      "num_tokens": 1978576.0,
+      "step": 1085
+    },
+    {
+      "entropy": 6.319045782089233,
+      "epoch": 0.9030654515327258,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004999281049653713,
+      "loss": 6.3227,
+      "mean_token_accuracy": 0.11601013913750649,
+      "num_tokens": 1987229.0,
+      "step": 1090
+    },
+    {
+      "entropy": 6.376017141342163,
+      "epoch": 0.9072079536039768,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999198004522557,
+      "loss": 6.261,
+      "mean_token_accuracy": 0.12269015237689018,
+      "num_tokens": 1996473.0,
+      "step": 1095
+    },
+    {
+      "entropy": 6.2405853271484375,
+      "epoch": 0.9113504556752279,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999110422513237,
+      "loss": 6.286,
+      "mean_token_accuracy": 0.12056776732206345,
+      "num_tokens": 2005551.0,
+      "step": 1100
+    },
+    {
+      "entropy": 6.398191165924072,
+      "epoch": 0.9154929577464789,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999018303802414,
+      "loss": 6.3869,
+      "mean_token_accuracy": 0.11947718560695648,
+      "num_tokens": 2015012.0,
+      "step": 1105
+    },
+    {
+      "entropy": 6.374700450897217,
+      "epoch": 0.9196354598177299,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004998921648575904,
+      "loss": 6.3999,
+      "mean_token_accuracy": 0.1203969657421112,
+      "num_tokens": 2024435.0,
+      "step": 1110
+    },
+    {
+      "entropy": 6.380674362182617,
+      "epoch": 0.923777961888981,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004998820457028669,
+      "loss": 6.3005,
+      "mean_token_accuracy": 0.12089794874191284,
+      "num_tokens": 2033991.0,
+      "step": 1115
+    },
+    {
+      "entropy": 6.409522771835327,
+      "epoch": 0.927920463960232,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998714729364824,
+      "loss": 6.3017,
+      "mean_token_accuracy": 0.1228084571659565,
+      "num_tokens": 2043117.0,
+      "step": 1120
+    },
+    {
+      "entropy": 6.326260423660278,
+      "epoch": 0.932062966031483,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004998604465797634,
+      "loss": 6.3305,
+      "mean_token_accuracy": 0.11992078274488449,
+      "num_tokens": 2052304.0,
+      "step": 1125
+    },
+    {
+      "entropy": 6.251798295974732,
+      "epoch": 0.9362054681027341,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998489666549512,
+      "loss": 6.2779,
+      "mean_token_accuracy": 0.12114684730768203,
+      "num_tokens": 2061217.0,
+      "step": 1130
+    },
+    {
+      "entropy": 6.319644594192505,
+      "epoch": 0.9403479701739851,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.0004998370331852021,
+      "loss": 6.2517,
+      "mean_token_accuracy": 0.11879112273454666,
+      "num_tokens": 2070796.0,
+      "step": 1135
+    },
+    {
+      "entropy": 6.465651321411133,
+      "epoch": 0.9444904722452361,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004998246461945872,
+      "loss": 6.4037,
+      "mean_token_accuracy": 0.12191760018467904,
+      "num_tokens": 2080202.0,
+      "step": 1140
+    },
+    {
+      "entropy": 6.320812797546386,
+      "epoch": 0.9486329743164872,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004998118057080923,
+      "loss": 6.3045,
+      "mean_token_accuracy": 0.11891168132424354,
+      "num_tokens": 2089788.0,
+      "step": 1145
+    },
+    {
+      "entropy": 6.301202344894409,
+      "epoch": 0.9527754763877382,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004997985117516183,
+      "loss": 6.3462,
+      "mean_token_accuracy": 0.11142431199550629,
+      "num_tokens": 2098727.0,
+      "step": 1150
+    },
+    {
+      "entropy": 6.344118309020996,
+      "epoch": 0.9569179784589892,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997847643519803,
+      "loss": 6.226,
+      "mean_token_accuracy": 0.11924557387828827,
+      "num_tokens": 2107645.0,
+      "step": 1155
+    },
+    {
+      "entropy": 6.1790977954864506,
+      "epoch": 0.9610604805302403,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997705635369085,
+      "loss": 6.1991,
+      "mean_token_accuracy": 0.11988648250699044,
+      "num_tokens": 2116613.0,
+      "step": 1160
+    },
+    {
+      "entropy": 6.284418439865112,
+      "epoch": 0.9652029826014913,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004997559093350474,
+      "loss": 6.1881,
+      "mean_token_accuracy": 0.12116428092122078,
+      "num_tokens": 2125585.0,
+      "step": 1165
+    },
+    {
+      "entropy": 6.396596622467041,
+      "epoch": 0.9693454846727423,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004997408017759562,
+      "loss": 6.3359,
+      "mean_token_accuracy": 0.11936862170696258,
+      "num_tokens": 2134795.0,
+      "step": 1170
+    },
+    {
+      "entropy": 6.273751878738404,
+      "epoch": 0.9734879867439934,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004997252408901084,
+      "loss": 6.3271,
+      "mean_token_accuracy": 0.11899949684739113,
+      "num_tokens": 2143699.0,
+      "step": 1175
+    },
+    {
+      "entropy": 6.386678028106689,
+      "epoch": 0.9776304888152444,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004997092267088922,
+      "loss": 6.2707,
+      "mean_token_accuracy": 0.11861606612801552,
+      "num_tokens": 2152187.0,
+      "step": 1180
+    },
+    {
+      "entropy": 6.275117111206055,
+      "epoch": 0.9817729908864954,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004996927592646097,
+      "loss": 6.3412,
+      "mean_token_accuracy": 0.11767763197422028,
+      "num_tokens": 2160941.0,
+      "step": 1185
+    },
+    {
+      "entropy": 6.339710283279419,
+      "epoch": 0.9859154929577465,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004996758385904776,
+      "loss": 6.3119,
+      "mean_token_accuracy": 0.11789651140570641,
+      "num_tokens": 2168946.0,
+      "step": 1190
+    },
+    {
+      "entropy": 6.181374216079712,
+      "epoch": 0.9900579950289975,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004996584647206269,
+      "loss": 6.2237,
+      "mean_token_accuracy": 0.12055367529392243,
+      "num_tokens": 2177662.0,
+      "step": 1195
+    },
+    {
+      "entropy": 6.316773986816406,
+      "epoch": 0.9942004971002486,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004996406376901026,
+      "loss": 6.3268,
+      "mean_token_accuracy": 0.12757316455245019,
+      "num_tokens": 2187461.0,
+      "step": 1200
+    },
+    {
+      "entropy": 6.283385133743286,
+      "epoch": 0.9983429991714996,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004996223575348635,
+      "loss": 6.2207,
+      "mean_token_accuracy": 0.12578138560056687,
+      "num_tokens": 2196878.0,
+      "step": 1205
+    },
+    {
+      "entropy": 6.311019659042358,
+      "epoch": 1.0024855012427507,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004996036242917828,
+      "loss": 6.2021,
+      "mean_token_accuracy": 0.1151522897183895,
+      "num_tokens": 2206178.0,
+      "step": 1210
+    },
+    {
+      "entropy": 6.25421667098999,
+      "epoch": 1.0066280033140016,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004995844379986476,
+      "loss": 6.0526,
+      "mean_token_accuracy": 0.12476176023483276,
+      "num_tokens": 2215330.0,
+      "step": 1215
+    },
+    {
+      "entropy": 6.309921216964722,
+      "epoch": 1.0107705053852527,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004995647986941587,
+      "loss": 6.0354,
+      "mean_token_accuracy": 0.13005029112100602,
+      "num_tokens": 2224146.0,
+      "step": 1220
+    },
+    {
+      "entropy": 6.241363286972046,
+      "epoch": 1.0149130074565038,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004995447064179308,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13421598002314566,
+      "num_tokens": 2233646.0,
+      "step": 1225
+    },
+    {
+      "entropy": 6.058859920501709,
+      "epoch": 1.0190555095277547,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.000499524161210492,
+      "loss": 5.9379,
+      "mean_token_accuracy": 0.12560308948159218,
+      "num_tokens": 2243663.0,
+      "step": 1230
+    },
+    {
+      "entropy": 6.270004224777222,
+      "epoch": 1.0231980115990058,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004995031631132844,
+      "loss": 6.1035,
+      "mean_token_accuracy": 0.13170127123594283,
+      "num_tokens": 2252564.0,
+      "step": 1235
+    },
+    {
+      "entropy": 6.2710247993469235,
+      "epoch": 1.027340513670257,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004994817121686633,
+      "loss": 6.099,
+      "mean_token_accuracy": 0.12465815395116805,
+      "num_tokens": 2262504.0,
+      "step": 1240
+    },
+    {
+      "entropy": 6.193396997451782,
+      "epoch": 1.0314830157415078,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004994598084198979,
+      "loss": 5.9843,
+      "mean_token_accuracy": 0.1374910719692707,
+      "num_tokens": 2270553.0,
+      "step": 1245
+    },
+    {
+      "entropy": 6.136552810668945,
+      "epoch": 1.035625517812759,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004994374519111701,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.1272726461291313,
+      "num_tokens": 2279319.0,
+      "step": 1250
+    },
+    {
+      "entropy": 6.217378282546997,
+      "epoch": 1.03976801988401,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004994146426875757,
+      "loss": 6.123,
+      "mean_token_accuracy": 0.126935476064682,
+      "num_tokens": 2288749.0,
+      "step": 1255
+    },
+    {
+      "entropy": 6.218695068359375,
+      "epoch": 1.043910521955261,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004993913807951232,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.12562426924705505,
+      "num_tokens": 2298272.0,
+      "step": 1260
+    },
+    {
+      "entropy": 6.221994352340698,
+      "epoch": 1.048053024026512,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004993676662807345,
+      "loss": 6.047,
+      "mean_token_accuracy": 0.12884460240602494,
+      "num_tokens": 2307230.0,
+      "step": 1265
+    },
+    {
+      "entropy": 6.183428144454956,
+      "epoch": 1.0521955260977631,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004993434991922443,
+      "loss": 6.1317,
+      "mean_token_accuracy": 0.12460145726799965,
+      "num_tokens": 2316306.0,
+      "step": 1270
+    },
+    {
+      "entropy": 6.22090425491333,
+      "epoch": 1.056338028169014,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004993188795784002,
+      "loss": 6.0531,
+      "mean_token_accuracy": 0.1241947129368782,
+      "num_tokens": 2325672.0,
+      "step": 1275
+    },
+    {
+      "entropy": 6.1453857421875,
+      "epoch": 1.0604805302402651,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004992938074888628,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.1274007849395275,
+      "num_tokens": 2335251.0,
+      "step": 1280
+    },
+    {
+      "entropy": 6.180039167404175,
+      "epoch": 1.0646230323115162,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004992682829742052,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.1308726042509079,
+      "num_tokens": 2344054.0,
+      "step": 1285
+    },
+    {
+      "entropy": 6.086296463012696,
+      "epoch": 1.0687655343827671,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004992423060859132,
+      "loss": 6.0236,
+      "mean_token_accuracy": 0.127706591039896,
+      "num_tokens": 2353493.0,
+      "step": 1290
+    },
+    {
+      "entropy": 6.223158740997315,
+      "epoch": 1.0729080364540182,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004992158768763849,
+      "loss": 6.1321,
+      "mean_token_accuracy": 0.12850543335080147,
+      "num_tokens": 2362687.0,
+      "step": 1295
+    },
+    {
+      "entropy": 6.2506636619567875,
+      "epoch": 1.0770505385252693,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004991889953989308,
+      "loss": 6.0965,
+      "mean_token_accuracy": 0.12563316524028778,
+      "num_tokens": 2372325.0,
+      "step": 1300
+    },
+    {
+      "entropy": 6.173602199554443,
+      "epoch": 1.0811930405965202,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004991616617077741,
+      "loss": 6.12,
+      "mean_token_accuracy": 0.1287991665303707,
+      "num_tokens": 2381987.0,
+      "step": 1305
+    },
+    {
+      "entropy": 6.307486963272095,
+      "epoch": 1.0853355426677713,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004991338758580496,
+      "loss": 6.0234,
+      "mean_token_accuracy": 0.13178783878684044,
+      "num_tokens": 2390901.0,
+      "step": 1310
+    },
+    {
+      "entropy": 6.034789133071899,
+      "epoch": 1.0894780447390224,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004991056379058045,
+      "loss": 6.0813,
+      "mean_token_accuracy": 0.12450421676039695,
+      "num_tokens": 2400756.0,
+      "step": 1315
+    },
+    {
+      "entropy": 6.188017988204956,
+      "epoch": 1.0936205468102733,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004990769479079976,
+      "loss": 5.9232,
+      "mean_token_accuracy": 0.12984196096658707,
+      "num_tokens": 2409526.0,
+      "step": 1320
+    },
+    {
+      "entropy": 6.086554956436157,
+      "epoch": 1.0977630488815244,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004990478059225003,
+      "loss": 6.0931,
+      "mean_token_accuracy": 0.12972966134548186,
+      "num_tokens": 2419583.0,
+      "step": 1325
+    },
+    {
+      "entropy": 6.2457873821258545,
+      "epoch": 1.1019055509527755,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004990182120080945,
+      "loss": 6.0338,
+      "mean_token_accuracy": 0.12990806251764297,
+      "num_tokens": 2429439.0,
+      "step": 1330
+    },
+    {
+      "entropy": 6.078778219223023,
+      "epoch": 1.1060480530240264,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004989881662244748,
+      "loss": 6.0416,
+      "mean_token_accuracy": 0.12380676046013832,
+      "num_tokens": 2438467.0,
+      "step": 1335
+    },
+    {
+      "entropy": 6.138932418823242,
+      "epoch": 1.1101905550952775,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004989576686322468,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.1332716926932335,
+      "num_tokens": 2446619.0,
+      "step": 1340
+    },
+    {
+      "entropy": 6.1281578540802,
+      "epoch": 1.1143330571665286,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004989267192929272,
+      "loss": 6.0379,
+      "mean_token_accuracy": 0.12955363765358924,
+      "num_tokens": 2454998.0,
+      "step": 1345
+    },
+    {
+      "entropy": 6.09554443359375,
+      "epoch": 1.1184755592377795,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004988953182689445,
+      "loss": 6.0072,
+      "mean_token_accuracy": 0.13532012328505516,
+      "num_tokens": 2463497.0,
+      "step": 1350
+    },
+    {
+      "entropy": 6.134703922271728,
+      "epoch": 1.1226180613090306,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004988634656236378,
+      "loss": 5.9216,
+      "mean_token_accuracy": 0.13609320148825646,
+      "num_tokens": 2471763.0,
+      "step": 1355
+    },
+    {
+      "entropy": 6.145527791976929,
+      "epoch": 1.1267605633802817,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004988311614212576,
+      "loss": 6.0016,
+      "mean_token_accuracy": 0.1402701161801815,
+      "num_tokens": 2479949.0,
+      "step": 1360
+    },
+    {
+      "entropy": 6.116470623016357,
+      "epoch": 1.1309030654515326,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004987984057269648,
+      "loss": 6.0539,
+      "mean_token_accuracy": 0.13444141745567323,
+      "num_tokens": 2489097.0,
+      "step": 1365
+    },
+    {
+      "entropy": 5.972180604934692,
+      "epoch": 1.1350455675227837,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004987651986068311,
+      "loss": 5.8781,
+      "mean_token_accuracy": 0.13601028621196748,
+      "num_tokens": 2497625.0,
+      "step": 1370
+    },
+    {
+      "entropy": 6.143597984313965,
+      "epoch": 1.1391880695940348,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004987315401278394,
+      "loss": 6.1252,
+      "mean_token_accuracy": 0.1272761717438698,
+      "num_tokens": 2507107.0,
+      "step": 1375
+    },
+    {
+      "entropy": 6.286170959472656,
+      "epoch": 1.143330571665286,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004986974303578819,
+      "loss": 6.1408,
+      "mean_token_accuracy": 0.12348597794771195,
+      "num_tokens": 2516629.0,
+      "step": 1380
+    },
+    {
+      "entropy": 6.077923250198364,
+      "epoch": 1.1474730737365368,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004986628693657621,
+      "loss": 6.021,
+      "mean_token_accuracy": 0.1280151717364788,
+      "num_tokens": 2525924.0,
+      "step": 1385
+    },
+    {
+      "entropy": 6.229060649871826,
+      "epoch": 1.151615575807788,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004986278572211933,
+      "loss": 6.1723,
+      "mean_token_accuracy": 0.1280426375567913,
+      "num_tokens": 2535586.0,
+      "step": 1390
+    },
+    {
+      "entropy": 6.189875984191895,
+      "epoch": 1.1557580778790388,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004985923939947987,
+      "loss": 6.2595,
+      "mean_token_accuracy": 0.1247698113322258,
+      "num_tokens": 2546685.0,
+      "step": 1395
+    },
+    {
+      "entropy": 6.148470640182495,
+      "epoch": 1.15990057995029,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004985564797581115,
+      "loss": 5.9681,
+      "mean_token_accuracy": 0.12971177995204924,
+      "num_tokens": 2556873.0,
+      "step": 1400
+    },
+    {
+      "entropy": 6.143459701538086,
+      "epoch": 1.164043082021541,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004985201145835747,
+      "loss": 5.9836,
+      "mean_token_accuracy": 0.13127154856920242,
+      "num_tokens": 2565222.0,
+      "step": 1405
+    },
+    {
+      "entropy": 6.031957960128784,
+      "epoch": 1.1681855840927922,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.000498483298544541,
+      "loss": 5.9875,
+      "mean_token_accuracy": 0.13211632743477822,
+      "num_tokens": 2575467.0,
+      "step": 1410
+    },
+    {
+      "entropy": 6.136318731307983,
+      "epoch": 1.172328086164043,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000498446031715272,
+      "loss": 6.0125,
+      "mean_token_accuracy": 0.13508019223809242,
+      "num_tokens": 2583963.0,
+      "step": 1415
+    },
+    {
+      "entropy": 6.133963680267334,
+      "epoch": 1.1764705882352942,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004984083141709391,
+      "loss": 6.042,
+      "mean_token_accuracy": 0.13524071872234344,
+      "num_tokens": 2593350.0,
+      "step": 1420
+    },
+    {
+      "entropy": 5.975436115264893,
+      "epoch": 1.180613090306545,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000498370145987623,
+      "loss": 5.9652,
+      "mean_token_accuracy": 0.13682079091668128,
+      "num_tokens": 2602191.0,
+      "step": 1425
+    },
+    {
+      "entropy": 6.170718050003051,
+      "epoch": 1.1847555923777962,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004983315272423127,
+      "loss": 6.0999,
+      "mean_token_accuracy": 0.1291058838367462,
+      "num_tokens": 2613590.0,
+      "step": 1430
+    },
+    {
+      "entropy": 6.049332237243652,
+      "epoch": 1.1888980944490473,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004982924580129066,
+      "loss": 5.8895,
+      "mean_token_accuracy": 0.1340464949607849,
+      "num_tokens": 2622072.0,
+      "step": 1435
+    },
+    {
+      "entropy": 6.093293142318726,
+      "epoch": 1.1930405965202984,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004982529383782116,
+      "loss": 6.1012,
+      "mean_token_accuracy": 0.13022035285830497,
+      "num_tokens": 2630904.0,
+      "step": 1440
+    },
+    {
+      "entropy": 6.189996242523193,
+      "epoch": 1.1971830985915493,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004982129684179432,
+      "loss": 6.0594,
+      "mean_token_accuracy": 0.13088259026408194,
+      "num_tokens": 2639925.0,
+      "step": 1445
+    },
+    {
+      "entropy": 6.1187131881713865,
+      "epoch": 1.2013256006628004,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004981725482127251,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.13439981341362,
+      "num_tokens": 2649397.0,
+      "step": 1450
+    },
+    {
+      "entropy": 6.16315655708313,
+      "epoch": 1.2054681027340513,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004981316778440892,
+      "loss": 6.081,
+      "mean_token_accuracy": 0.13515593931078912,
+      "num_tokens": 2658877.0,
+      "step": 1455
+    },
+    {
+      "entropy": 6.063838720321655,
+      "epoch": 1.2096106048053024,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004980903573944756,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13121431767940522,
+      "num_tokens": 2668518.0,
+      "step": 1460
+    },
+    {
+      "entropy": 6.059180212020874,
+      "epoch": 1.2137531068765535,
+      "grad_norm": 1.0078125,
+      "learning_rate": 0.0004980485869472322,
+      "loss": 6.1148,
+      "mean_token_accuracy": 0.12996160089969636,
+      "num_tokens": 2677459.0,
+      "step": 1465
+    },
+    {
+      "entropy": 6.223527908325195,
+      "epoch": 1.2178956089478046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004980063665866143,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12482839822769165,
+      "num_tokens": 2686668.0,
+      "step": 1470
+    },
+    {
+      "entropy": 5.935272264480591,
+      "epoch": 1.2220381110190555,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004979636963977853,
+      "loss": 5.8825,
+      "mean_token_accuracy": 0.1352998949587345,
+      "num_tokens": 2695545.0,
+      "step": 1475
+    },
+    {
+      "entropy": 6.066101598739624,
+      "epoch": 1.2261806130903066,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004979205764668156,
+      "loss": 6.0569,
+      "mean_token_accuracy": 0.13228241056203843,
+      "num_tokens": 2705514.0,
+      "step": 1480
+    },
+    {
+      "entropy": 6.138315343856812,
+      "epoch": 1.2303231151615575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004978770068806825,
+      "loss": 5.9599,
+      "mean_token_accuracy": 0.13136665150523186,
+      "num_tokens": 2714373.0,
+      "step": 1485
+    },
+    {
+      "entropy": 6.061770391464234,
+      "epoch": 1.2344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.000497832987727271,
+      "loss": 6.0715,
+      "mean_token_accuracy": 0.1264137916266918,
+      "num_tokens": 2723887.0,
+      "step": 1490
+    },
+    {
+      "entropy": 6.061756038665772,
+      "epoch": 1.2386081193040597,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004977885190953724,
+      "loss": 5.956,
+      "mean_token_accuracy": 0.13353569880127908,
+      "num_tokens": 2733591.0,
+      "step": 1495
+    },
+    {
+      "entropy": 6.104292392730713,
+      "epoch": 1.2427506213753108,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004977436010746846,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.13720986992120743,
+      "num_tokens": 2741638.0,
+      "step": 1500
+    },
+    {
+      "epoch": 1.2427506213753108,
+      "eval_entropy": 6.029743814773397,
+      "eval_loss": 6.2611613273620605,
+      "eval_mean_token_accuracy": 0.12890694399219332,
+      "eval_num_tokens": 2741638.0,
+      "eval_runtime": 2.9518,
+      "eval_samples_per_second": 1269.399,
+      "eval_steps_per_second": 158.887,
+      "step": 1500
+    },
+    {
+      "entropy": 6.078821802139283,
+      "epoch": 1.2468931234465617,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004976982337558124,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13084649220108985,
+      "num_tokens": 2749711.0,
+      "step": 1505
+    },
+    {
+      "entropy": 6.094208097457885,
+      "epoch": 1.2510356255178128,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004976524172302665,
+      "loss": 6.121,
+      "mean_token_accuracy": 0.13192041367292404,
+      "num_tokens": 2758121.0,
+      "step": 1510
+    },
+    {
+      "entropy": 6.159745693206787,
+      "epoch": 1.2551781275890637,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004976061515904641,
+      "loss": 6.1181,
+      "mean_token_accuracy": 0.12667254582047463,
+      "num_tokens": 2766764.0,
+      "step": 1515
+    },
+    {
+      "entropy": 6.116680526733399,
+      "epoch": 1.2593206296603148,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004975594369297277,
+      "loss": 6.0557,
+      "mean_token_accuracy": 0.1348518520593643,
+      "num_tokens": 2775561.0,
+      "step": 1520
+    },
+    {
+      "entropy": 6.08063235282898,
+      "epoch": 1.2634631317315659,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004975122733422861,
+      "loss": 6.0201,
+      "mean_token_accuracy": 0.13085112273693084,
+      "num_tokens": 2784691.0,
+      "step": 1525
+    },
+    {
+      "entropy": 6.129113435745239,
+      "epoch": 1.267605633802817,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004974646609232732,
+      "loss": 5.9816,
+      "mean_token_accuracy": 0.13641836866736412,
+      "num_tokens": 2793893.0,
+      "step": 1530
+    },
+    {
+      "entropy": 6.108260202407837,
+      "epoch": 1.2717481358740679,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004974165997687288,
+      "loss": 6.0751,
+      "mean_token_accuracy": 0.13353196606040002,
+      "num_tokens": 2804479.0,
+      "step": 1535
+    },
+    {
+      "entropy": 6.16022138595581,
+      "epoch": 1.275890637945319,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004973680899755972,
+      "loss": 6.107,
+      "mean_token_accuracy": 0.1326654002070427,
+      "num_tokens": 2813966.0,
+      "step": 1540
+    },
+    {
+      "entropy": 6.007886743545532,
+      "epoch": 1.2800331400165699,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000497319131641728,
+      "loss": 5.9326,
+      "mean_token_accuracy": 0.13846119418740271,
+      "num_tokens": 2822328.0,
+      "step": 1545
+    },
+    {
+      "entropy": 6.003260755538941,
+      "epoch": 1.284175642087821,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004972697248658755,
+      "loss": 5.8899,
+      "mean_token_accuracy": 0.14066707715392113,
+      "num_tokens": 2829845.0,
+      "step": 1550
+    },
+    {
+      "entropy": 5.948832178115845,
+      "epoch": 1.288318144159072,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004972198697476987,
+      "loss": 5.8783,
+      "mean_token_accuracy": 0.13914238885045052,
+      "num_tokens": 2839040.0,
+      "step": 1555
+    },
+    {
+      "entropy": 5.961882209777832,
+      "epoch": 1.2924606462303232,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004971695663877607,
+      "loss": 5.9665,
+      "mean_token_accuracy": 0.13561231270432472,
+      "num_tokens": 2848574.0,
+      "step": 1560
+    },
+    {
+      "entropy": 6.077086877822876,
+      "epoch": 1.296603148301574,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004971188148875289,
+      "loss": 5.9421,
+      "mean_token_accuracy": 0.14444561377167703,
+      "num_tokens": 2856812.0,
+      "step": 1565
+    },
+    {
+      "entropy": 6.051652336120606,
+      "epoch": 1.3007456503728252,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004970676153493748,
+      "loss": 6.0283,
+      "mean_token_accuracy": 0.13189572617411613,
+      "num_tokens": 2866001.0,
+      "step": 1570
+    },
+    {
+      "entropy": 6.1068840503692625,
+      "epoch": 1.3048881524440763,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004970159678765731,
+      "loss": 6.0164,
+      "mean_token_accuracy": 0.13239546120166779,
+      "num_tokens": 2875181.0,
+      "step": 1575
+    },
+    {
+      "entropy": 6.049808597564697,
+      "epoch": 1.3090306545153272,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004969638725733028,
+      "loss": 5.9587,
+      "mean_token_accuracy": 0.13397156223654746,
+      "num_tokens": 2885103.0,
+      "step": 1580
+    },
+    {
+      "entropy": 5.92131872177124,
+      "epoch": 1.3131731565865783,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004969113295446455,
+      "loss": 5.9116,
+      "mean_token_accuracy": 0.1383065924048424,
+      "num_tokens": 2894055.0,
+      "step": 1585
+    },
+    {
+      "entropy": 6.116864538192749,
+      "epoch": 1.3173156586578294,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004968583388965863,
+      "loss": 5.9846,
+      "mean_token_accuracy": 0.133075200766325,
+      "num_tokens": 2903391.0,
+      "step": 1590
+    },
+    {
+      "entropy": 6.006745624542236,
+      "epoch": 1.3214581607290803,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004968049007360132,
+      "loss": 5.9854,
+      "mean_token_accuracy": 0.13297903537750244,
+      "num_tokens": 2911760.0,
+      "step": 1595
+    },
+    {
+      "entropy": 5.926331329345703,
+      "epoch": 1.3256006628003314,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004967510151707169,
+      "loss": 5.9369,
+      "mean_token_accuracy": 0.13469143435359002,
+      "num_tokens": 2920589.0,
+      "step": 1600
+    },
+    {
+      "entropy": 6.15295524597168,
+      "epoch": 1.3297431648715825,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004966966823093903,
+      "loss": 6.0746,
+      "mean_token_accuracy": 0.1302391268312931,
+      "num_tokens": 2929635.0,
+      "step": 1605
+    },
+    {
+      "entropy": 5.986531114578247,
+      "epoch": 1.3338856669428334,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004966419022616287,
+      "loss": 5.9349,
+      "mean_token_accuracy": 0.13593596145510672,
+      "num_tokens": 2938778.0,
+      "step": 1610
+    },
+    {
+      "entropy": 6.039755535125733,
+      "epoch": 1.3380281690140845,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004965866751379296,
+      "loss": 6.0503,
+      "mean_token_accuracy": 0.13109695687890052,
+      "num_tokens": 2947836.0,
+      "step": 1615
+    },
+    {
+      "entropy": 6.133180904388428,
+      "epoch": 1.3421706710853356,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004965310010496922,
+      "loss": 6.0032,
+      "mean_token_accuracy": 0.1280514419078827,
+      "num_tokens": 2957028.0,
+      "step": 1620
+    },
+    {
+      "entropy": 6.026159048080444,
+      "epoch": 1.3463131731565865,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004964748801092168,
+      "loss": 5.9571,
+      "mean_token_accuracy": 0.1338861681520939,
+      "num_tokens": 2966088.0,
+      "step": 1625
+    },
+    {
+      "entropy": 6.078959226608276,
+      "epoch": 1.3504556752278376,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004964183124297059,
+      "loss": 6.0438,
+      "mean_token_accuracy": 0.13178688064217567,
+      "num_tokens": 2975271.0,
+      "step": 1630
+    },
+    {
+      "entropy": 5.992210865020752,
+      "epoch": 1.3545981772990887,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004963612981252625,
+      "loss": 6.0524,
+      "mean_token_accuracy": 0.1321226365864277,
+      "num_tokens": 2983799.0,
+      "step": 1635
+    },
+    {
+      "entropy": 6.056794929504394,
+      "epoch": 1.3587406793703396,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004963038373108908,
+      "loss": 6.0179,
+      "mean_token_accuracy": 0.13609340488910676,
+      "num_tokens": 2992675.0,
+      "step": 1640
+    },
+    {
+      "entropy": 6.155933427810669,
+      "epoch": 1.3628831814415907,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004962459301024954,
+      "loss": 6.0838,
+      "mean_token_accuracy": 0.13211635649204254,
+      "num_tokens": 3002483.0,
+      "step": 1645
+    },
+    {
+      "entropy": 6.027872896194458,
+      "epoch": 1.3670256835128418,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004961875766168816,
+      "loss": 5.985,
+      "mean_token_accuracy": 0.13883458971977233,
+      "num_tokens": 3010611.0,
+      "step": 1650
+    },
+    {
+      "entropy": 6.057289028167725,
+      "epoch": 1.371168185584093,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004961287769717547,
+      "loss": 5.9397,
+      "mean_token_accuracy": 0.13197456523776055,
+      "num_tokens": 3019928.0,
+      "step": 1655
+    },
+    {
+      "entropy": 5.9325989246368405,
+      "epoch": 1.3753106876553438,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004960695312857199,
+      "loss": 5.9279,
+      "mean_token_accuracy": 0.13408055454492568,
+      "num_tokens": 3029003.0,
+      "step": 1660
+    },
+    {
+      "entropy": 6.0389604568481445,
+      "epoch": 1.379453189726595,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004960098396782824,
+      "loss": 5.9464,
+      "mean_token_accuracy": 0.1375861033797264,
+      "num_tokens": 3038049.0,
+      "step": 1665
+    },
+    {
+      "entropy": 5.969662141799927,
+      "epoch": 1.3835956917978458,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004959497022698466,
+      "loss": 5.9515,
+      "mean_token_accuracy": 0.14408120438456534,
+      "num_tokens": 3046674.0,
+      "step": 1670
+    },
+    {
+      "entropy": 6.0561059474945065,
+      "epoch": 1.387738193869097,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004958891191817163,
+      "loss": 5.9927,
+      "mean_token_accuracy": 0.12801324650645257,
+      "num_tokens": 3056459.0,
+      "step": 1675
+    },
+    {
+      "entropy": 6.032327270507812,
+      "epoch": 1.391880695940348,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000495828090536094,
+      "loss": 5.9845,
+      "mean_token_accuracy": 0.13036760538816453,
+      "num_tokens": 3066294.0,
+      "step": 1680
+    },
+    {
+      "entropy": 6.0512574195861815,
+      "epoch": 1.3960231980115991,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004957666164560815,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13139644563198088,
+      "num_tokens": 3075420.0,
+      "step": 1685
+    },
+    {
+      "entropy": 6.063203239440918,
+      "epoch": 1.40016570008285,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004957046970656784,
+      "loss": 6.0385,
+      "mean_token_accuracy": 0.13581736162304878,
+      "num_tokens": 3084373.0,
+      "step": 1690
+    },
+    {
+      "entropy": 6.00097541809082,
+      "epoch": 1.4043082021541011,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004956423324897831,
+      "loss": 6.0257,
+      "mean_token_accuracy": 0.13937310948967935,
+      "num_tokens": 3094212.0,
+      "step": 1695
+    },
+    {
+      "entropy": 6.043115425109863,
+      "epoch": 1.408450704225352,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004955795228541917,
+      "loss": 5.9589,
+      "mean_token_accuracy": 0.14452596232295037,
+      "num_tokens": 3102769.0,
+      "step": 1700
+    },
+    {
+      "entropy": 6.040110731124878,
+      "epoch": 1.4125932062966031,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000495516268285598,
+      "loss": 5.9805,
+      "mean_token_accuracy": 0.13440805301070213,
+      "num_tokens": 3111465.0,
+      "step": 1705
+    },
+    {
+      "entropy": 5.978239822387695,
+      "epoch": 1.4167357083678542,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004954525689115935,
+      "loss": 5.9177,
+      "mean_token_accuracy": 0.13326097056269645,
+      "num_tokens": 3121106.0,
+      "step": 1710
+    },
+    {
+      "entropy": 6.007881164550781,
+      "epoch": 1.4208782104391053,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004953884248606669,
+      "loss": 5.945,
+      "mean_token_accuracy": 0.14831372052431108,
+      "num_tokens": 3130662.0,
+      "step": 1715
+    },
+    {
+      "entropy": 5.97642674446106,
+      "epoch": 1.4250207125103562,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004953238362622034,
+      "loss": 5.9812,
+      "mean_token_accuracy": 0.13328263983130456,
+      "num_tokens": 3139538.0,
+      "step": 1720
+    },
+    {
+      "entropy": 6.0256367206573485,
+      "epoch": 1.4291632145816073,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004952588032464855,
+      "loss": 6.0298,
+      "mean_token_accuracy": 0.12707214802503586,
+      "num_tokens": 3148552.0,
+      "step": 1725
+    },
+    {
+      "entropy": 5.996851205825806,
+      "epoch": 1.4333057166528582,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004951933259446919,
+      "loss": 5.9365,
+      "mean_token_accuracy": 0.14197203740477563,
+      "num_tokens": 3156549.0,
+      "step": 1730
+    },
+    {
+      "entropy": 6.114988136291504,
+      "epoch": 1.4374482187241093,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004951274044888975,
+      "loss": 6.1006,
+      "mean_token_accuracy": 0.12147112190723419,
+      "num_tokens": 3166821.0,
+      "step": 1735
+    },
+    {
+      "entropy": 5.960144329071045,
+      "epoch": 1.4415907207953604,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004950610390120731,
+      "loss": 5.9848,
+      "mean_token_accuracy": 0.135729306191206,
+      "num_tokens": 3174962.0,
+      "step": 1740
+    },
+    {
+      "entropy": 6.087535095214844,
+      "epoch": 1.4457332228666115,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000494994229648085,
+      "loss": 5.8903,
+      "mean_token_accuracy": 0.13537728488445283,
+      "num_tokens": 3184027.0,
+      "step": 1745
+    },
+    {
+      "entropy": 5.957475805282593,
+      "epoch": 1.4498757249378624,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004949269765316948,
+      "loss": 6.0321,
+      "mean_token_accuracy": 0.13071285635232927,
+      "num_tokens": 3193186.0,
+      "step": 1750
+    },
+    {
+      "entropy": 6.171153354644775,
+      "epoch": 1.4540182270091135,
+      "grad_norm": 2.140625,
+      "learning_rate": 0.0004948592797985599,
+      "loss": 6.0525,
+      "mean_token_accuracy": 0.13555259853601456,
+      "num_tokens": 3202676.0,
+      "step": 1755
+    },
+    {
+      "entropy": 6.123908805847168,
+      "epoch": 1.4581607290803644,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947911395852317,
+      "loss": 6.1524,
+      "mean_token_accuracy": 0.1352410912513733,
+      "num_tokens": 3211950.0,
+      "step": 1760
+    },
+    {
+      "entropy": 6.120599699020386,
+      "epoch": 1.4623032311516155,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947225560291565,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12961760386824608,
+      "num_tokens": 3221135.0,
+      "step": 1765
+    },
+    {
+      "entropy": 5.962483358383179,
+      "epoch": 1.4664457332228666,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004946535292686746,
+      "loss": 5.8975,
+      "mean_token_accuracy": 0.13825839310884475,
+      "num_tokens": 3230174.0,
+      "step": 1770
+    },
+    {
+      "entropy": 5.979943370819091,
+      "epoch": 1.4705882352941178,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004945840594430209,
+      "loss": 5.8871,
+      "mean_token_accuracy": 0.1381668671965599,
+      "num_tokens": 3238898.0,
+      "step": 1775
+    },
+    {
+      "entropy": 5.973515844345092,
+      "epoch": 1.4747307373653686,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004945141466923235,
+      "loss": 5.9292,
+      "mean_token_accuracy": 0.14479121565818787,
+      "num_tokens": 3247550.0,
+      "step": 1780
+    },
+    {
+      "entropy": 6.113377714157105,
+      "epoch": 1.4788732394366197,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004944437911576041,
+      "loss": 6.0779,
+      "mean_token_accuracy": 0.12900342419743538,
+      "num_tokens": 3256810.0,
+      "step": 1785
+    },
+    {
+      "entropy": 5.9020613670349125,
+      "epoch": 1.4830157415078706,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004943729929807772,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.139550269395113,
+      "num_tokens": 3265886.0,
+      "step": 1790
+    },
+    {
+      "entropy": 6.06021089553833,
+      "epoch": 1.4871582435791217,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004943017523046507,
+      "loss": 5.9273,
+      "mean_token_accuracy": 0.137468421459198,
+      "num_tokens": 3274522.0,
+      "step": 1795
+    },
+    {
+      "entropy": 6.027210426330567,
+      "epoch": 1.4913007456503728,
+      "grad_norm": 1.25,
+      "learning_rate": 0.000494230069272925,
+      "loss": 6.0486,
+      "mean_token_accuracy": 0.13558472618460654,
+      "num_tokens": 3283388.0,
+      "step": 1800
+    },
+    {
+      "entropy": 5.989331531524658,
+      "epoch": 1.495443247721624,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004941579440301923,
+      "loss": 5.9224,
+      "mean_token_accuracy": 0.1305856943130493,
+      "num_tokens": 3291887.0,
+      "step": 1805
+    },
+    {
+      "entropy": 5.96136965751648,
+      "epoch": 1.4995857497928748,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940853767219372,
+      "loss": 5.9685,
+      "mean_token_accuracy": 0.13564062863588333,
+      "num_tokens": 3300674.0,
+      "step": 1810
+    },
+    {
+      "entropy": 5.9364429950714115,
+      "epoch": 1.503728251864126,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940123674945359,
+      "loss": 5.8311,
+      "mean_token_accuracy": 0.13808463513851166,
+      "num_tokens": 3309745.0,
+      "step": 1815
+    },
+    {
+      "entropy": 6.076629638671875,
+      "epoch": 1.5078707539353768,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004939389164952561,
+      "loss": 5.9722,
+      "mean_token_accuracy": 0.1378110609948635,
+      "num_tokens": 3318888.0,
+      "step": 1820
+    },
+    {
+      "entropy": 5.8970863819122314,
+      "epoch": 1.512013256006628,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004938650238722564,
+      "loss": 5.9296,
+      "mean_token_accuracy": 0.13823849260807036,
+      "num_tokens": 3328274.0,
+      "step": 1825
+    },
+    {
+      "entropy": 6.003948831558228,
+      "epoch": 1.516155758077879,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004937906897745861,
+      "loss": 5.9387,
+      "mean_token_accuracy": 0.1468382939696312,
+      "num_tokens": 3337579.0,
+      "step": 1830
+    },
+    {
+      "entropy": 6.045965003967285,
+      "epoch": 1.5202982601491302,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004937159143521856,
+      "loss": 5.9081,
+      "mean_token_accuracy": 0.14555162489414214,
+      "num_tokens": 3346262.0,
+      "step": 1835
+    },
+    {
+      "entropy": 5.972390079498291,
+      "epoch": 1.5244407622203813,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004936406977558847,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.13030771315097808,
+      "num_tokens": 3354833.0,
+      "step": 1840
+    },
+    {
+      "entropy": 6.051387977600098,
+      "epoch": 1.5285832642916322,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004935650401374039,
+      "loss": 6.0906,
+      "mean_token_accuracy": 0.14119647368788718,
+      "num_tokens": 3364314.0,
+      "step": 1845
+    },
+    {
+      "entropy": 6.046140813827515,
+      "epoch": 1.532725766362883,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004934889416493524,
+      "loss": 5.9157,
+      "mean_token_accuracy": 0.13524662256240844,
+      "num_tokens": 3373648.0,
+      "step": 1850
+    },
+    {
+      "entropy": 5.863892507553101,
+      "epoch": 1.5368682684341342,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004934124024452295,
+      "loss": 5.7869,
+      "mean_token_accuracy": 0.1471114367246628,
+      "num_tokens": 3382919.0,
+      "step": 1855
+    },
+    {
+      "entropy": 5.888700532913208,
+      "epoch": 1.5410107705053853,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004933354226794232,
+      "loss": 5.9383,
+      "mean_token_accuracy": 0.1432707317173481,
+      "num_tokens": 3391814.0,
+      "step": 1860
+    },
+    {
+      "entropy": 6.080925798416137,
+      "epoch": 1.5451532725766364,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004932580025072098,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.13580586463212968,
+      "num_tokens": 3400392.0,
+      "step": 1865
+    },
+    {
+      "entropy": 5.996384525299073,
+      "epoch": 1.5492957746478875,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004931801420847545,
+      "loss": 6.036,
+      "mean_token_accuracy": 0.13089759424328803,
+      "num_tokens": 3410430.0,
+      "step": 1870
+    },
+    {
+      "entropy": 5.932257795333863,
+      "epoch": 1.5534382767191384,
+      "grad_norm": 0.9609375,
+      "learning_rate": 0.0004931018415691102,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.13694921880960464,
+      "num_tokens": 3420654.0,
+      "step": 1875
+    },
+    {
+      "entropy": 5.951343011856079,
+      "epoch": 1.5575807787903893,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004930231011182176,
+      "loss": 5.9986,
+      "mean_token_accuracy": 0.13937177062034606,
+      "num_tokens": 3430514.0,
+      "step": 1880
+    },
+    {
+      "entropy": 6.071512508392334,
+      "epoch": 1.5617232808616404,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004929439208909048,
+      "loss": 5.9331,
+      "mean_token_accuracy": 0.1375361390411854,
+      "num_tokens": 3439551.0,
+      "step": 1885
+    },
+    {
+      "entropy": 5.902947330474854,
+      "epoch": 1.5658657829328915,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004928643010468869,
+      "loss": 5.8911,
+      "mean_token_accuracy": 0.13622887432575226,
+      "num_tokens": 3448160.0,
+      "step": 1890
+    },
+    {
+      "entropy": 5.993059539794922,
+      "epoch": 1.5700082850041426,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004927842417467659,
+      "loss": 5.9517,
+      "mean_token_accuracy": 0.14548188596963882,
+      "num_tokens": 3457296.0,
+      "step": 1895
+    },
+    {
+      "entropy": 6.027637386322022,
+      "epoch": 1.5741507870753937,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004927037431520302,
+      "loss": 5.9073,
+      "mean_token_accuracy": 0.14102519080042838,
+      "num_tokens": 3466108.0,
+      "step": 1900
+    },
+    {
+      "entropy": 5.975209665298462,
+      "epoch": 1.5782932891466446,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004926228054250541,
+      "loss": 5.9941,
+      "mean_token_accuracy": 0.14009249955415726,
+      "num_tokens": 3475336.0,
+      "step": 1905
+    },
+    {
+      "entropy": 6.073916673660278,
+      "epoch": 1.5824357912178955,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004925414287290979,
+      "loss": 5.9668,
+      "mean_token_accuracy": 0.13723743334412575,
+      "num_tokens": 3483963.0,
+      "step": 1910
+    },
+    {
+      "entropy": 5.848618030548096,
+      "epoch": 1.5865782932891466,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004924596132283075,
+      "loss": 5.8765,
+      "mean_token_accuracy": 0.14485997408628465,
+      "num_tokens": 3492947.0,
+      "step": 1915
+    },
+    {
+      "entropy": 5.966853284835816,
+      "epoch": 1.5907207953603977,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004923773590877135,
+      "loss": 5.9651,
+      "mean_token_accuracy": 0.13334692791104316,
+      "num_tokens": 3501877.0,
+      "step": 1920
+    },
+    {
+      "entropy": 6.042904996871949,
+      "epoch": 1.5948632974316488,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004922946664732314,
+      "loss": 6.0304,
+      "mean_token_accuracy": 0.13204361274838447,
+      "num_tokens": 3510610.0,
+      "step": 1925
+    },
+    {
+      "entropy": 6.0583656311035154,
+      "epoch": 1.5990057995029,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004922115355516615,
+      "loss": 5.9841,
+      "mean_token_accuracy": 0.13304307833313941,
+      "num_tokens": 3519829.0,
+      "step": 1930
+    },
+    {
+      "entropy": 6.015839862823486,
+      "epoch": 1.6031483015741508,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004921279664906877,
+      "loss": 5.9661,
+      "mean_token_accuracy": 0.13071200698614122,
+      "num_tokens": 3529408.0,
+      "step": 1935
+    },
+    {
+      "entropy": 5.924501991271972,
+      "epoch": 1.6072908036454017,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004920439594588781,
+      "loss": 5.8955,
+      "mean_token_accuracy": 0.14675913602113724,
+      "num_tokens": 3538068.0,
+      "step": 1940
+    },
+    {
+      "entropy": 6.051935148239136,
+      "epoch": 1.6114333057166528,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000491959514625684,
+      "loss": 6.0177,
+      "mean_token_accuracy": 0.13845598921179772,
+      "num_tokens": 3547302.0,
+      "step": 1945
+    },
+    {
+      "entropy": 5.956210565567017,
+      "epoch": 1.6155758077879039,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00049187463216144,
+      "loss": 5.9024,
+      "mean_token_accuracy": 0.145584287494421,
+      "num_tokens": 3556087.0,
+      "step": 1950
+    },
+    {
+      "entropy": 6.046857452392578,
+      "epoch": 1.619718309859155,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.000491789312237363,
+      "loss": 5.9857,
+      "mean_token_accuracy": 0.13579782098531723,
+      "num_tokens": 3566235.0,
+      "step": 1955
+    },
+    {
+      "entropy": 5.983897924423218,
+      "epoch": 1.623860811930406,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004917035550255528,
+      "loss": 5.899,
+      "mean_token_accuracy": 0.14092317298054696,
+      "num_tokens": 3574762.0,
+      "step": 1960
+    },
+    {
+      "entropy": 5.904513597488403,
+      "epoch": 1.628003314001657,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000491617360698991,
+      "loss": 5.8837,
+      "mean_token_accuracy": 0.139695380628109,
+      "num_tokens": 3583359.0,
+      "step": 1965
+    },
+    {
+      "entropy": 5.920687866210938,
+      "epoch": 1.6321458160729079,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004915307294315412,
+      "loss": 5.8505,
+      "mean_token_accuracy": 0.14011457338929176,
+      "num_tokens": 3591436.0,
+      "step": 1970
+    },
+    {
+      "entropy": 5.926318550109864,
+      "epoch": 1.636288318144159,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.000491443661397948,
+      "loss": 5.9355,
+      "mean_token_accuracy": 0.13468224480748175,
+      "num_tokens": 3601054.0,
+      "step": 1975
+    },
+    {
+      "entropy": 5.974443817138672,
+      "epoch": 1.64043082021541,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004913561567738368,
+      "loss": 5.9014,
+      "mean_token_accuracy": 0.1383673779666424,
+      "num_tokens": 3610641.0,
+      "step": 1980
+    },
+    {
+      "entropy": 5.912512636184692,
+      "epoch": 1.6445733222866612,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004912682157357146,
+      "loss": 5.8447,
+      "mean_token_accuracy": 0.13975749984383584,
+      "num_tokens": 3619351.0,
+      "step": 1985
+    },
+    {
+      "entropy": 5.853101539611816,
+      "epoch": 1.6487158243579123,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004911798384609675,
+      "loss": 5.8306,
+      "mean_token_accuracy": 0.1472959376871586,
+      "num_tokens": 3627341.0,
+      "step": 1990
+    },
+    {
+      "entropy": 5.942045879364014,
+      "epoch": 1.6528583264291632,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004910910251278626,
+      "loss": 5.8918,
+      "mean_token_accuracy": 0.14801610112190247,
+      "num_tokens": 3637132.0,
+      "step": 1995
+    },
+    {
+      "entropy": 5.919465351104736,
+      "epoch": 1.6570008285004143,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004910017759155458,
+      "loss": 5.9479,
+      "mean_token_accuracy": 0.1400071859359741,
+      "num_tokens": 3646196.0,
+      "step": 2000
+    },
+    {
+      "epoch": 1.6570008285004143,
+      "eval_entropy": 5.874394122979789,
+      "eval_loss": 6.1148576736450195,
+      "eval_mean_token_accuracy": 0.1363023624046525,
+      "eval_num_tokens": 3646196.0,
+      "eval_runtime": 2.7574,
+      "eval_samples_per_second": 1358.871,
+      "eval_steps_per_second": 170.085,
+      "step": 2000
+    },
+    {
+      "entropy": 5.967284250259399,
+      "epoch": 1.6611433305716652,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004909120910040427,
+      "loss": 5.8839,
+      "mean_token_accuracy": 0.1461731344461441,
+      "num_tokens": 3654658.0,
+      "step": 2005
+    },
+    {
+      "entropy": 6.045904684066772,
+      "epoch": 1.6652858326429163,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004908219705742574,
+      "loss": 6.1605,
+      "mean_token_accuracy": 0.13489469960331918,
+      "num_tokens": 3664509.0,
+      "step": 2010
+    },
+    {
+      "entropy": 6.002130031585693,
+      "epoch": 1.6694283347141674,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004907314148079727,
+      "loss": 5.8567,
+      "mean_token_accuracy": 0.1425239197909832,
+      "num_tokens": 3672983.0,
+      "step": 2015
+    },
+    {
+      "entropy": 5.708412790298462,
+      "epoch": 1.6735708367854185,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004906404238878496,
+      "loss": 5.7221,
+      "mean_token_accuracy": 0.14639501571655272,
+      "num_tokens": 3681196.0,
+      "step": 2020
+    },
+    {
+      "entropy": 5.97982873916626,
+      "epoch": 1.6777133388566694,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004905489979974265,
+      "loss": 5.9098,
+      "mean_token_accuracy": 0.14081615954637527,
+      "num_tokens": 3690077.0,
+      "step": 2025
+    },
+    {
+      "entropy": 5.942774772644043,
+      "epoch": 1.6818558409279205,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004904571373211197,
+      "loss": 5.9906,
+      "mean_token_accuracy": 0.13563016131520272,
+      "num_tokens": 3700121.0,
+      "step": 2030
+    },
+    {
+      "entropy": 5.897730588912964,
+      "epoch": 1.6859983429991714,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000490364842044222,
+      "loss": 5.8074,
+      "mean_token_accuracy": 0.14530285224318504,
+      "num_tokens": 3709618.0,
+      "step": 2035
+    },
+    {
+      "entropy": 5.954602289199829,
+      "epoch": 1.6901408450704225,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004902721123529031,
+      "loss": 5.9869,
+      "mean_token_accuracy": 0.12953415215015412,
+      "num_tokens": 3719570.0,
+      "step": 2040
+    },
+    {
+      "entropy": 6.074023342132568,
+      "epoch": 1.6942833471416736,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000490178948434209,
+      "loss": 5.9267,
+      "mean_token_accuracy": 0.14249598532915114,
+      "num_tokens": 3729354.0,
+      "step": 2045
+    },
+    {
+      "entropy": 5.833365964889526,
+      "epoch": 1.6984258492129247,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004900853504760614,
+      "loss": 5.8409,
+      "mean_token_accuracy": 0.14450331926345825,
+      "num_tokens": 3738453.0,
+      "step": 2050
+    },
+    {
+      "entropy": 5.888468265533447,
+      "epoch": 1.7025683512841756,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004899913186672577,
+      "loss": 5.8165,
+      "mean_token_accuracy": 0.14293194860219954,
+      "num_tokens": 3747815.0,
+      "step": 2055
+    },
+    {
+      "entropy": 5.914711236953735,
+      "epoch": 1.7067108533554267,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004898968531974702,
+      "loss": 5.9249,
+      "mean_token_accuracy": 0.14642315953969956,
+      "num_tokens": 3757298.0,
+      "step": 2060
+    },
+    {
+      "entropy": 5.978992033004761,
+      "epoch": 1.7108533554266776,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004898019542572462,
+      "loss": 5.9124,
+      "mean_token_accuracy": 0.14719650894403458,
+      "num_tokens": 3765939.0,
+      "step": 2065
+    },
+    {
+      "entropy": 6.005469894409179,
+      "epoch": 1.7149958574979287,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004897066220380073,
+      "loss": 5.933,
+      "mean_token_accuracy": 0.13779435828328132,
+      "num_tokens": 3775160.0,
+      "step": 2070
+    },
+    {
+      "entropy": 5.921374797821045,
+      "epoch": 1.7191383595691798,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004896108567320489,
+      "loss": 5.831,
+      "mean_token_accuracy": 0.14186858981847764,
+      "num_tokens": 3785181.0,
+      "step": 2075
+    },
+    {
+      "entropy": 5.972924375534058,
+      "epoch": 1.723280861640431,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048951465853254,
+      "loss": 5.9444,
+      "mean_token_accuracy": 0.14323145076632499,
+      "num_tokens": 3794531.0,
+      "step": 2080
+    },
+    {
+      "entropy": 5.953138160705566,
+      "epoch": 1.7274233637116818,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004894180276335231,
+      "loss": 5.934,
+      "mean_token_accuracy": 0.1396125227212906,
+      "num_tokens": 3804602.0,
+      "step": 2085
+    },
+    {
+      "entropy": 5.9721667766571045,
+      "epoch": 1.731565865782933,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004893209642299132,
+      "loss": 5.97,
+      "mean_token_accuracy": 0.1395590640604496,
+      "num_tokens": 3813394.0,
+      "step": 2090
+    },
+    {
+      "entropy": 5.97849326133728,
+      "epoch": 1.7357083678541838,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004892234685174976,
+      "loss": 5.962,
+      "mean_token_accuracy": 0.13808128908276557,
+      "num_tokens": 3821604.0,
+      "step": 2095
+    },
+    {
+      "entropy": 5.967495775222778,
+      "epoch": 1.739850869925435,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004891255406929359,
+      "loss": 5.9564,
+      "mean_token_accuracy": 0.13652343899011612,
+      "num_tokens": 3831977.0,
+      "step": 2100
+    },
+    {
+      "entropy": 5.98737063407898,
+      "epoch": 1.743993371996686,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004890271809537595,
+      "loss": 5.9017,
+      "mean_token_accuracy": 0.1393343411386013,
+      "num_tokens": 3840684.0,
+      "step": 2105
+    },
+    {
+      "entropy": 5.870862340927124,
+      "epoch": 1.7481358740679371,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004889283894983704,
+      "loss": 5.8147,
+      "mean_token_accuracy": 0.1389534741640091,
+      "num_tokens": 3851147.0,
+      "step": 2110
+    },
+    {
+      "entropy": 6.002704238891601,
+      "epoch": 1.752278376139188,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000488829166526042,
+      "loss": 5.9838,
+      "mean_token_accuracy": 0.13991605415940284,
+      "num_tokens": 3859881.0,
+      "step": 2115
+    },
+    {
+      "entropy": 5.948231506347656,
+      "epoch": 1.7564208782104391,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004887295122369176,
+      "loss": 6.0107,
+      "mean_token_accuracy": 0.13371825441718102,
+      "num_tokens": 3870151.0,
+      "step": 2120
+    },
+    {
+      "entropy": 5.99525203704834,
+      "epoch": 1.76056338028169,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.000488629426832011,
+      "loss": 5.9313,
+      "mean_token_accuracy": 0.13850879445672035,
+      "num_tokens": 3878398.0,
+      "step": 2125
+    },
+    {
+      "entropy": 5.924004030227661,
+      "epoch": 1.7647058823529411,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004885289105132054,
+      "loss": 5.8893,
+      "mean_token_accuracy": 0.14114601090550422,
+      "num_tokens": 3888007.0,
+      "step": 2130
+    },
+    {
+      "entropy": 5.930246257781983,
+      "epoch": 1.7688483844241922,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004884279634832532,
+      "loss": 5.8728,
+      "mean_token_accuracy": 0.14278061985969542,
+      "num_tokens": 3896945.0,
+      "step": 2135
+    },
+    {
+      "entropy": 5.940092372894287,
+      "epoch": 1.7729908864954433,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004883265859457754,
+      "loss": 5.8905,
+      "mean_token_accuracy": 0.1457919418811798,
+      "num_tokens": 3906049.0,
+      "step": 2140
+    },
+    {
+      "entropy": 5.866062164306641,
+      "epoch": 1.7771333885666944,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048822477810526186,
+      "loss": 5.8422,
+      "mean_token_accuracy": 0.1388966679573059,
+      "num_tokens": 3915050.0,
+      "step": 2145
+    },
+    {
+      "entropy": 5.966696119308471,
+      "epoch": 1.7812758906379453,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00048812254016706994,
+      "loss": 5.9205,
+      "mean_token_accuracy": 0.14728582575917243,
+      "num_tokens": 3924031.0,
+      "step": 2150
+    },
+    {
+      "entropy": 5.915832757949829,
+      "epoch": 1.7854183927091962,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004880198723374247,
+      "loss": 5.9776,
+      "mean_token_accuracy": 0.14149753525853156,
+      "num_tokens": 3933756.0,
+      "step": 2155
+    },
+    {
+      "entropy": 5.959774684906006,
+      "epoch": 1.7895608947804473,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048791677482341845,
+      "loss": 5.9592,
+      "mean_token_accuracy": 0.13750381171703338,
+      "num_tokens": 3943129.0,
+      "step": 2160
+    },
+    {
+      "entropy": 5.881538438796997,
+      "epoch": 1.7937033968516984,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048781324783301016,
+      "loss": 5.7912,
+      "mean_token_accuracy": 0.14508036673069,
+      "num_tokens": 3951494.0,
+      "step": 2165
+    },
+    {
+      "entropy": 5.946735525131226,
+      "epoch": 1.7978458989229495,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048770929157502505,
+      "loss": 5.9565,
+      "mean_token_accuracy": 0.143115097284317,
+      "num_tokens": 3960588.0,
+      "step": 2170
+    },
+    {
+      "entropy": 5.9805809497833256,
+      "epoch": 1.8019884009942007,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004876049062591543,
+      "loss": 5.9226,
+      "mean_token_accuracy": 0.13506680428981782,
+      "num_tokens": 3970135.0,
+      "step": 2175
+    },
+    {
+      "entropy": 5.950060653686523,
+      "epoch": 1.8061309030654515,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048750009209595443,
+      "loss": 5.9042,
+      "mean_token_accuracy": 0.13944360390305519,
+      "num_tokens": 3979569.0,
+      "step": 2180
+    },
+    {
+      "entropy": 5.88271656036377,
+      "epoch": 1.8102734051367024,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048739484929684714,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.144245932251215,
+      "num_tokens": 3987885.0,
+      "step": 2185
+    },
+    {
+      "entropy": 5.933677864074707,
+      "epoch": 1.8144159072079535,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048728917807411856,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.13125594183802605,
+      "num_tokens": 3997726.0,
+      "step": 2190
+    },
+    {
+      "entropy": 6.008653068542481,
+      "epoch": 1.8185584092792046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004871830786409191,
+      "loss": 5.8436,
+      "mean_token_accuracy": 0.14898036047816277,
+      "num_tokens": 4006437.0,
+      "step": 2195
+    },
+    {
+      "entropy": 5.856683444976807,
+      "epoch": 1.8227009113504558,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00048707655121126296,
+      "loss": 5.8124,
+      "mean_token_accuracy": 0.14927435666322708,
+      "num_tokens": 4015326.0,
+      "step": 2200
+    },
+    {
+      "entropy": 5.924995994567871,
+      "epoch": 1.8268434134217069,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048696959600002767,
+      "loss": 5.8722,
+      "mean_token_accuracy": 0.14032577201724053,
+      "num_tokens": 4024294.0,
+      "step": 2205
+    },
+    {
+      "entropy": 5.881852293014527,
+      "epoch": 1.8309859154929577,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048686221322295347,
+      "loss": 5.9028,
+      "mean_token_accuracy": 0.14340249821543694,
+      "num_tokens": 4033341.0,
+      "step": 2210
+    },
+    {
+      "entropy": 5.951443433761597,
+      "epoch": 1.8351284175642086,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048675440309664314,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.1474481076002121,
+      "num_tokens": 4042446.0,
+      "step": 2215
+    },
+    {
+      "entropy": 5.832607173919678,
+      "epoch": 1.8392709196354597,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00048664616583856166,
+      "loss": 5.8924,
+      "mean_token_accuracy": 0.13868724405765534,
+      "num_tokens": 4051849.0,
+      "step": 2220
+    },
+    {
+      "entropy": 6.026660823822022,
+      "epoch": 1.8434134217067109,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00048653750166703516,
+      "loss": 5.9855,
+      "mean_token_accuracy": 0.1381051518023014,
+      "num_tokens": 4061075.0,
+      "step": 2225
+    },
+    {
+      "entropy": 5.976817560195923,
+      "epoch": 1.847555923777962,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004864284108012513,
+      "loss": 5.9524,
+      "mean_token_accuracy": 0.13498588278889656,
+      "num_tokens": 4071022.0,
+      "step": 2230
+    },
+    {
+      "entropy": 5.884273719787598,
+      "epoch": 1.851698425849213,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004863188934612583,
+      "loss": 5.854,
+      "mean_token_accuracy": 0.1435965158045292,
+      "num_tokens": 4080728.0,
+      "step": 2235
+    },
+    {
+      "entropy": 5.8848789691925045,
+      "epoch": 1.855840927920464,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004862089498679645,
+      "loss": 5.8121,
+      "mean_token_accuracy": 0.15146355628967284,
+      "num_tokens": 4088712.0,
+      "step": 2240
+    },
+    {
+      "entropy": 5.904728364944458,
+      "epoch": 1.8599834299917148,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004860985802431383,
+      "loss": 5.8445,
+      "mean_token_accuracy": 0.14107747822999955,
+      "num_tokens": 4097488.0,
+      "step": 2245
+    },
+    {
+      "entropy": 5.815548610687256,
+      "epoch": 1.864125932062966,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004859877848094071,
+      "loss": 5.8328,
+      "mean_token_accuracy": 0.14647450745105745,
+      "num_tokens": 4106485.0,
+      "step": 2250
+    },
+    {
+      "entropy": 5.969652986526489,
+      "epoch": 1.868268434134217,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004858765637902575,
+      "loss": 5.8016,
+      "mean_token_accuracy": 0.14588006138801574,
+      "num_tokens": 4115806.0,
+      "step": 2255
+    },
+    {
+      "entropy": 5.982199335098267,
+      "epoch": 1.8724109362054682,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004857649174100344,
+      "loss": 5.9353,
+      "mean_token_accuracy": 0.14478921219706536,
+      "num_tokens": 4124636.0,
+      "step": 2260
+    },
+    {
+      "entropy": 5.869907474517822,
+      "epoch": 1.8765534382767193,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.0004856528458939409,
+      "loss": 5.8948,
+      "mean_token_accuracy": 0.13403457626700402,
+      "num_tokens": 4133876.0,
+      "step": 2265
+    },
+    {
+      "entropy": 5.836872100830078,
+      "epoch": 1.8806959403479702,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004855403494680373,
+      "loss": 5.8159,
+      "mean_token_accuracy": 0.14096100330352784,
+      "num_tokens": 4143555.0,
+      "step": 2270
+    },
+    {
+      "entropy": 5.871636962890625,
+      "epoch": 1.884838442419221,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00048542742835924133,
+      "loss": 5.7773,
+      "mean_token_accuracy": 0.14253296032547952,
+      "num_tokens": 4153007.0,
+      "step": 2275
+    },
+    {
+      "entropy": 5.766701364517212,
+      "epoch": 1.8889809444904722,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048531408279532705,
+      "loss": 5.8171,
+      "mean_token_accuracy": 0.14552054405212403,
+      "num_tokens": 4162107.0,
+      "step": 2280
+    },
+    {
+      "entropy": 5.884533357620239,
+      "epoch": 1.8931234465617233,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048520031300492507,
+      "loss": 5.8208,
+      "mean_token_accuracy": 0.14203491136431695,
+      "num_tokens": 4170920.0,
+      "step": 2285
+    },
+    {
+      "entropy": 5.9367118835449215,
+      "epoch": 1.8972659486329744,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048508611921752124,
+      "loss": 5.8366,
+      "mean_token_accuracy": 0.14547978863120078,
+      "num_tokens": 4180226.0,
+      "step": 2290
+    },
+    {
+      "entropy": 5.804201984405518,
+      "epoch": 1.9014084507042255,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00048497150166345703,
+      "loss": 5.7799,
+      "mean_token_accuracy": 0.14307984560728074,
+      "num_tokens": 4189283.0,
+      "step": 2295
+    },
+    {
+      "entropy": 5.833661937713623,
+      "epoch": 1.9055509527754764,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004848564605739287,
+      "loss": 5.8181,
+      "mean_token_accuracy": 0.14286661818623542,
+      "num_tokens": 4199017.0,
+      "step": 2300
+    },
+    {
+      "entropy": 5.985245418548584,
+      "epoch": 1.9096934548467275,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048474099618098644,
+      "loss": 5.9557,
+      "mean_token_accuracy": 0.13776218444108962,
+      "num_tokens": 4207756.0,
+      "step": 2305
+    },
+    {
+      "entropy": 5.926583385467529,
+      "epoch": 1.9138359569179784,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004846251087175348,
+      "loss": 5.8467,
+      "mean_token_accuracy": 0.14270823299884797,
+      "num_tokens": 4216721.0,
+      "step": 2310
+    },
+    {
+      "entropy": 5.816466999053955,
+      "epoch": 1.9179784589892295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004845087984173312,
+      "loss": 5.8214,
+      "mean_token_accuracy": 0.14952016696333886,
+      "num_tokens": 4225596.0,
+      "step": 2315
+    },
+    {
+      "entropy": 5.975145244598389,
+      "epoch": 1.9221209610604806,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048439206551498644,
+      "loss": 5.8881,
+      "mean_token_accuracy": 0.14604572355747222,
+      "num_tokens": 4234500.0,
+      "step": 2320
+    },
+    {
+      "entropy": 5.83410792350769,
+      "epoch": 1.9262634631317317,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004842749102459635,
+      "loss": 5.8331,
+      "mean_token_accuracy": 0.14477182626724244,
+      "num_tokens": 4243240.0,
+      "step": 2325
+    },
+    {
+      "entropy": 5.799895906448365,
+      "epoch": 1.9304059652029826,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048415733284657727,
+      "loss": 5.8249,
+      "mean_token_accuracy": 0.14724751114845275,
+      "num_tokens": 4251892.0,
+      "step": 2330
+    },
+    {
+      "entropy": 5.914888668060303,
+      "epoch": 1.9345484672742337,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004840393335539943,
+      "loss": 5.784,
+      "mean_token_accuracy": 0.14537777602672577,
+      "num_tokens": 4261447.0,
+      "step": 2335
+    },
+    {
+      "entropy": 5.93565788269043,
+      "epoch": 1.9386909693454846,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048392091260623195,
+      "loss": 5.9202,
+      "mean_token_accuracy": 0.1471864774823189,
+      "num_tokens": 4270120.0,
+      "step": 2340
+    },
+    {
+      "entropy": 5.905978488922119,
+      "epoch": 1.9428334714167357,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048380207024215836,
+      "loss": 5.7991,
+      "mean_token_accuracy": 0.1482786476612091,
+      "num_tokens": 4278300.0,
+      "step": 2345
+    },
+    {
+      "entropy": 5.905145263671875,
+      "epoch": 1.9469759734879868,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00048368280670149145,
+      "loss": 5.8487,
+      "mean_token_accuracy": 0.1461447760462761,
+      "num_tokens": 4286454.0,
+      "step": 2350
+    },
+    {
+      "entropy": 5.805000495910645,
+      "epoch": 1.951118475559238,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004835631222247989,
+      "loss": 5.7243,
+      "mean_token_accuracy": 0.15050614029169082,
+      "num_tokens": 4294752.0,
+      "step": 2355
+    },
+    {
+      "entropy": 5.907592630386352,
+      "epoch": 1.9552609776304888,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00048344301705349735,
+      "loss": 5.7974,
+      "mean_token_accuracy": 0.14830030649900436,
+      "num_tokens": 4303195.0,
+      "step": 2360
+    },
+    {
+      "entropy": 5.841587924957276,
+      "epoch": 1.95940347970174,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048332249142985195,
+      "loss": 5.9211,
+      "mean_token_accuracy": 0.1373597078025341,
+      "num_tokens": 4311961.0,
+      "step": 2365
+    },
+    {
+      "entropy": 5.900353670120239,
+      "epoch": 1.9635459817729908,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004832015455969763,
+      "loss": 5.7748,
+      "mean_token_accuracy": 0.13879901468753814,
+      "num_tokens": 4322267.0,
+      "step": 2370
+    },
+    {
+      "entropy": 5.774641275405884,
+      "epoch": 1.9676884838442419,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048308017979883114,
+      "loss": 5.8838,
+      "mean_token_accuracy": 0.1426581546664238,
+      "num_tokens": 4330584.0,
+      "step": 2375
+    },
+    {
+      "entropy": 5.840176010131836,
+      "epoch": 1.971830985915493,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048295839428022454,
+      "loss": 5.7215,
+      "mean_token_accuracy": 0.14949245899915695,
+      "num_tokens": 4339215.0,
+      "step": 2380
+    },
+    {
+      "entropy": 5.869688034057617,
+      "epoch": 1.975973487986744,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00048283618928681127,
+      "loss": 5.7418,
+      "mean_token_accuracy": 0.1501791574060917,
+      "num_tokens": 4347711.0,
+      "step": 2385
+    },
+    {
+      "entropy": 5.764533996582031,
+      "epoch": 1.980115990057995,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004827135650650923,
+      "loss": 5.7445,
+      "mean_token_accuracy": 0.14758301600813867,
+      "num_tokens": 4356982.0,
+      "step": 2390
+    },
+    {
+      "entropy": 5.770398235321045,
+      "epoch": 1.984258492129246,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004825905218624139,
+      "loss": 5.7696,
+      "mean_token_accuracy": 0.14773683473467827,
+      "num_tokens": 4365378.0,
+      "step": 2395
+    },
+    {
+      "entropy": 5.9908288478851315,
+      "epoch": 1.988400994200497,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048246705992696756,
+      "loss": 5.8174,
+      "mean_token_accuracy": 0.14142358154058457,
+      "num_tokens": 4374007.0,
+      "step": 2400
+    },
+    {
+      "entropy": 5.9741987705230715,
+      "epoch": 1.992543496271748,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048234317950778975,
+      "loss": 5.9346,
+      "mean_token_accuracy": 0.1409923940896988,
+      "num_tokens": 4383909.0,
+      "step": 2405
+    },
+    {
+      "entropy": 5.967488718032837,
+      "epoch": 1.9966859983429992,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004822188808547607,
+      "loss": 5.9967,
+      "mean_token_accuracy": 0.13560240790247918,
+      "num_tokens": 4393145.0,
+      "step": 2410
+    },
+    {
+      "entropy": 5.751282596588135,
+      "epoch": 2.0008285004142503,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004820941642186043,
+      "loss": 5.7146,
+      "mean_token_accuracy": 0.14043126851320267,
+      "num_tokens": 4402024.0,
+      "step": 2415
+    },
+    {
+      "entropy": 5.91456356048584,
+      "epoch": 2.0049710024855014,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004819690298508879,
+      "loss": 5.5395,
+      "mean_token_accuracy": 0.1603303700685501,
+      "num_tokens": 4411377.0,
+      "step": 2420
+    },
+    {
+      "entropy": 5.758482313156128,
+      "epoch": 2.009113504556752,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048184347800402083,
+      "loss": 5.4299,
+      "mean_token_accuracy": 0.16564757078886033,
+      "num_tokens": 4419781.0,
+      "step": 2425
+    },
+    {
+      "entropy": 5.727555131912231,
+      "epoch": 2.013256006628003,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004817175089312551,
+      "loss": 5.4154,
+      "mean_token_accuracy": 0.16400155574083328,
+      "num_tokens": 4428427.0,
+      "step": 2430
+    },
+    {
+      "entropy": 5.749885892868042,
+      "epoch": 2.0173985086992543,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048159112288668403,
+      "loss": 5.4586,
+      "mean_token_accuracy": 0.15933601409196854,
+      "num_tokens": 4438156.0,
+      "step": 2435
+    },
+    {
+      "entropy": 5.876013088226318,
+      "epoch": 2.0215410107705054,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00048146432012524215,
+      "loss": 5.4819,
+      "mean_token_accuracy": 0.16306492537260056,
+      "num_tokens": 4446342.0,
+      "step": 2440
+    },
+    {
+      "entropy": 5.738983201980591,
+      "epoch": 2.0256835128417565,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00048133710090270446,
+      "loss": 5.5229,
+      "mean_token_accuracy": 0.1542331963777542,
+      "num_tokens": 4455582.0,
+      "step": 2445
+    },
+    {
+      "entropy": 5.815389633178711,
+      "epoch": 2.0298260149130076,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048120946547568596,
+      "loss": 5.5375,
+      "mean_token_accuracy": 0.15604802072048188,
+      "num_tokens": 4464518.0,
+      "step": 2450
+    },
+    {
+      "entropy": 5.927202749252319,
+      "epoch": 2.0339685169842583,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00048108141410164133,
+      "loss": 5.6588,
+      "mean_token_accuracy": 0.14534952044486998,
+      "num_tokens": 4475031.0,
+      "step": 2455
+    },
+    {
+      "entropy": 5.8722837448120115,
+      "epoch": 2.0381110190555094,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004809529470388642,
+      "loss": 5.5396,
+      "mean_token_accuracy": 0.1577153742313385,
+      "num_tokens": 4484609.0,
+      "step": 2460
+    },
+    {
+      "entropy": 5.787671709060669,
+      "epoch": 2.0422535211267605,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004808240645464866,
+      "loss": 5.5698,
+      "mean_token_accuracy": 0.15477177649736404,
+      "num_tokens": 4494238.0,
+      "step": 2465
+    },
+    {
+      "entropy": 5.684235668182373,
+      "epoch": 2.0463960231980116,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004806947668844787,
+      "loss": 5.4573,
+      "mean_token_accuracy": 0.16172746568918228,
+      "num_tokens": 4503258.0,
+      "step": 2470
+    },
+    {
+      "entropy": 5.786364412307739,
+      "epoch": 2.0505385252692627,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048056505431364794,
+      "loss": 5.5091,
+      "mean_token_accuracy": 0.15975141078233718,
+      "num_tokens": 4512071.0,
+      "step": 2475
+    },
+    {
+      "entropy": 5.736668491363526,
+      "epoch": 2.054681027340514,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00048043492709563877,
+      "loss": 5.3461,
+      "mean_token_accuracy": 0.17059434503316878,
+      "num_tokens": 4520219.0,
+      "step": 2480
+    },
+    {
+      "entropy": 5.672813034057617,
+      "epoch": 2.0588235294117645,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048030438549293193,
+      "loss": 5.5568,
+      "mean_token_accuracy": 0.15284566581249237,
+      "num_tokens": 4529386.0,
+      "step": 2485
+    },
+    {
+      "entropy": 5.830966377258301,
+      "epoch": 2.0629660314830156,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00048017342976884424,
+      "loss": 5.5638,
+      "mean_token_accuracy": 0.15199215039610864,
+      "num_tokens": 4538860.0,
+      "step": 2490
+    },
+    {
+      "entropy": 5.761076402664185,
+      "epoch": 2.0671085335542667,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048004206018752773,
+      "loss": 5.5299,
+      "mean_token_accuracy": 0.15335657596588134,
+      "num_tokens": 4547842.0,
+      "step": 2495
+    },
+    {
+      "entropy": 5.733208799362183,
+      "epoch": 2.071251035625518,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047991027701396895,
+      "loss": 5.5026,
+      "mean_token_accuracy": 0.15411428660154342,
+      "num_tokens": 4556238.0,
+      "step": 2500
+    },
+    {
+      "epoch": 2.071251035625518,
+      "eval_entropy": 5.642364594473768,
+      "eval_loss": 6.032641410827637,
+      "eval_mean_token_accuracy": 0.1416530203399882,
+      "eval_num_tokens": 4556238.0,
+      "eval_runtime": 2.7817,
+      "eval_samples_per_second": 1347.034,
+      "eval_steps_per_second": 168.604,
+      "step": 2500
+    },
+    {
+      "entropy": 5.732073068618774,
+      "epoch": 2.075393537696769,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004797780805139892,
+      "loss": 5.5069,
+      "mean_token_accuracy": 0.1587075412273407,
+      "num_tokens": 4565684.0,
+      "step": 2505
+    },
+    {
+      "entropy": 5.722462224960327,
+      "epoch": 2.07953603976802,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004796454709542432,
+      "loss": 5.467,
+      "mean_token_accuracy": 0.1590041533112526,
+      "num_tokens": 4575001.0,
+      "step": 2510
+    },
+    {
+      "entropy": 5.797696113586426,
+      "epoch": 2.083678541839271,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004795124486022189,
+      "loss": 5.5732,
+      "mean_token_accuracy": 0.15362634360790253,
+      "num_tokens": 4584128.0,
+      "step": 2515
+    },
+    {
+      "entropy": 5.711380529403686,
+      "epoch": 2.087821043910522,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047937901372623694,
+      "loss": 5.4191,
+      "mean_token_accuracy": 0.16894411891698838,
+      "num_tokens": 4593011.0,
+      "step": 2520
+    },
+    {
+      "entropy": 5.688450145721435,
+      "epoch": 2.091963545981773,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00047924516659545005,
+      "loss": 5.4668,
+      "mean_token_accuracy": 0.16164053976535797,
+      "num_tokens": 4602676.0,
+      "step": 2525
+    },
+    {
+      "entropy": 5.79151463508606,
+      "epoch": 2.096106048053024,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004791109074798425,
+      "loss": 5.5522,
+      "mean_token_accuracy": 0.15433578938245773,
+      "num_tokens": 4611915.0,
+      "step": 2530
+    },
+    {
+      "entropy": 5.748647403717041,
+      "epoch": 2.100248550124275,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004789762366502296,
+      "loss": 5.5184,
+      "mean_token_accuracy": 0.15959300100803375,
+      "num_tokens": 4621396.0,
+      "step": 2535
+    },
+    {
+      "entropy": 5.7374598503112795,
+      "epoch": 2.1043910521955262,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004788411543782571,
+      "loss": 5.5201,
+      "mean_token_accuracy": 0.1591552659869194,
+      "num_tokens": 4630533.0,
+      "step": 2540
+    },
+    {
+      "entropy": 5.678498649597168,
+      "epoch": 2.108533554266777,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004787056609364008,
+      "loss": 5.4599,
+      "mean_token_accuracy": 0.1542729303240776,
+      "num_tokens": 4639023.0,
+      "step": 2545
+    },
+    {
+      "entropy": 5.711474943161011,
+      "epoch": 2.112676056338028,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004785697565979657,
+      "loss": 5.4732,
+      "mean_token_accuracy": 0.15900285094976424,
+      "num_tokens": 4647975.0,
+      "step": 2550
+    },
+    {
+      "entropy": 5.72883243560791,
+      "epoch": 2.116818558409279,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004784334416370857,
+      "loss": 5.498,
+      "mean_token_accuracy": 0.15594277828931807,
+      "num_tokens": 4657555.0,
+      "step": 2555
+    },
+    {
+      "entropy": 5.745093822479248,
+      "epoch": 2.1209610604805302,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004782967163287231,
+      "loss": 5.4193,
+      "mean_token_accuracy": 0.16100153774023057,
+      "num_tokens": 4667228.0,
+      "step": 2560
+    },
+    {
+      "entropy": 5.716836738586426,
+      "epoch": 2.1251035625517813,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047815958094866756,
+      "loss": 5.4957,
+      "mean_token_accuracy": 0.1513967014849186,
+      "num_tokens": 4676723.0,
+      "step": 2565
+    },
+    {
+      "entropy": 5.7276163578033445,
+      "epoch": 2.1292460646230325,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004780220357735363,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.15479894131422042,
+      "num_tokens": 4686241.0,
+      "step": 2570
+    },
+    {
+      "entropy": 5.764811038970947,
+      "epoch": 2.1333885666942836,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047788408108077294,
+      "loss": 5.5404,
+      "mean_token_accuracy": 0.1561874568462372,
+      "num_tokens": 4695195.0,
+      "step": 2575
+    },
+    {
+      "entropy": 5.739376497268677,
+      "epoch": 2.1375310687655342,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004777457171486471,
+      "loss": 5.5871,
+      "mean_token_accuracy": 0.15551834553480148,
+      "num_tokens": 4704716.0,
+      "step": 2580
+    },
+    {
+      "entropy": 5.769967555999756,
+      "epoch": 2.1416735708367853,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004776069442562541,
+      "loss": 5.5562,
+      "mean_token_accuracy": 0.15339450240135194,
+      "num_tokens": 4713720.0,
+      "step": 2585
+    },
+    {
+      "entropy": 5.733342504501342,
+      "epoch": 2.1458160729080364,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004774677626835138,
+      "loss": 5.5366,
+      "mean_token_accuracy": 0.15301723331212996,
+      "num_tokens": 4722428.0,
+      "step": 2590
+    },
+    {
+      "entropy": 5.787648677825928,
+      "epoch": 2.1499585749792876,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00047732817271117084,
+      "loss": 5.5365,
+      "mean_token_accuracy": 0.15334974452853203,
+      "num_tokens": 4732395.0,
+      "step": 2595
+    },
+    {
+      "entropy": 5.773520803451538,
+      "epoch": 2.1541010770505387,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004771881746207934,
+      "loss": 5.5206,
+      "mean_token_accuracy": 0.15674114525318145,
+      "num_tokens": 4741071.0,
+      "step": 2600
+    },
+    {
+      "entropy": 5.607013797760009,
+      "epoch": 2.1582435791217898,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047704776869477285,
+      "loss": 5.5153,
+      "mean_token_accuracy": 0.15076877027750016,
+      "num_tokens": 4749876.0,
+      "step": 2605
+    },
+    {
+      "entropy": 5.784313154220581,
+      "epoch": 2.1623860811930404,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00047690695521632344,
+      "loss": 5.4669,
+      "mean_token_accuracy": 0.16002854704856873,
+      "num_tokens": 4758721.0,
+      "step": 2610
+    },
+    {
+      "entropy": 5.6919313907623295,
+      "epoch": 2.1665285832642915,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047676573446948114,
+      "loss": 5.4832,
+      "mean_token_accuracy": 0.15925751626491547,
+      "num_tokens": 4767162.0,
+      "step": 2615
+    },
+    {
+      "entropy": 5.71550760269165,
+      "epoch": 2.1706710853355426,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047662410673910376,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.1629578560590744,
+      "num_tokens": 4776397.0,
+      "step": 2620
+    },
+    {
+      "entropy": 5.665811157226562,
+      "epoch": 2.1748135874067938,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047648207231087,
+      "loss": 5.4579,
+      "mean_token_accuracy": 0.15894875824451446,
+      "num_tokens": 4784822.0,
+      "step": 2625
+    },
+    {
+      "entropy": 5.71003270149231,
+      "epoch": 2.178956089478045,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004763396314712786,
+      "loss": 5.5297,
+      "mean_token_accuracy": 0.15831661075353623,
+      "num_tokens": 4794272.0,
+      "step": 2630
+    },
+    {
+      "entropy": 5.64026665687561,
+      "epoch": 2.183098591549296,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004761967845076484,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.15510014593601226,
+      "num_tokens": 4804314.0,
+      "step": 2635
+    },
+    {
+      "entropy": 5.6847330093383786,
+      "epoch": 2.1872410936205466,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004760535317081174,
+      "loss": 5.4694,
+      "mean_token_accuracy": 0.15845878273248673,
+      "num_tokens": 4812685.0,
+      "step": 2640
+    },
+    {
+      "entropy": 5.715235567092895,
+      "epoch": 2.1913835956917977,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047590987336164207,
+      "loss": 5.5532,
+      "mean_token_accuracy": 0.1562129870057106,
+      "num_tokens": 4821761.0,
+      "step": 2645
+    },
+    {
+      "entropy": 5.741413831710815,
+      "epoch": 2.195526097763049,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00047576580975799705,
+      "loss": 5.5307,
+      "mean_token_accuracy": 0.1623195379972458,
+      "num_tokens": 4830515.0,
+      "step": 2650
+    },
+    {
+      "entropy": 5.782008934020996,
+      "epoch": 2.1996685998343,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004756213411877743,
+      "loss": 5.5059,
+      "mean_token_accuracy": 0.14879967421293258,
+      "num_tokens": 4840741.0,
+      "step": 2655
+    },
+    {
+      "entropy": 5.612497425079345,
+      "epoch": 2.203811101905551,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047547646794238277,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.16198884546756745,
+      "num_tokens": 4849571.0,
+      "step": 2660
+    },
+    {
+      "entropy": 5.689143991470337,
+      "epoch": 2.207953603976802,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047533119031404757,
+      "loss": 5.4138,
+      "mean_token_accuracy": 0.1696420982480049,
+      "num_tokens": 4857194.0,
+      "step": 2665
+    },
+    {
+      "entropy": 5.632621717453003,
+      "epoch": 2.212096106048053,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00047518550859580966,
+      "loss": 5.5074,
+      "mean_token_accuracy": 0.1592964008450508,
+      "num_tokens": 4865894.0,
+      "step": 2670
+    },
+    {
+      "entropy": 5.74289755821228,
+      "epoch": 2.216238608119304,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004750394230815249,
+      "loss": 5.5268,
+      "mean_token_accuracy": 0.15829544067382811,
+      "num_tokens": 4875131.0,
+      "step": 2675
+    },
+    {
+      "entropy": 5.670539522171021,
+      "epoch": 2.220381110190555,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047489293406586375,
+      "loss": 5.3777,
+      "mean_token_accuracy": 0.1620385766029358,
+      "num_tokens": 4884098.0,
+      "step": 2680
+    },
+    {
+      "entropy": 5.657269620895386,
+      "epoch": 2.224523612261806,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004747460418443106,
+      "loss": 5.4373,
+      "mean_token_accuracy": 0.15941016003489494,
+      "num_tokens": 4892963.0,
+      "step": 2685
+    },
+    {
+      "entropy": 5.690485191345215,
+      "epoch": 2.2286661143330573,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047459874671316305,
+      "loss": 5.4903,
+      "mean_token_accuracy": 0.15749651044607163,
+      "num_tokens": 4902097.0,
+      "step": 2690
+    },
+    {
+      "entropy": 5.608357000350952,
+      "epoch": 2.2328086164043084,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00047445104896953153,
+      "loss": 5.4015,
+      "mean_token_accuracy": 0.16532779037952422,
+      "num_tokens": 4910469.0,
+      "step": 2695
+    },
+    {
+      "entropy": 5.82715744972229,
+      "epoch": 2.236951118475559,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047430294891133846,
+      "loss": 5.6892,
+      "mean_token_accuracy": 0.1501491665840149,
+      "num_tokens": 4921024.0,
+      "step": 2700
+    },
+    {
+      "entropy": 5.749764776229858,
+      "epoch": 2.24109362054681,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004741544468373179,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15474629402160645,
+      "num_tokens": 4930297.0,
+      "step": 2705
+    },
+    {
+      "entropy": 5.687776947021485,
+      "epoch": 2.2452361226180613,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00047400554304701474,
+      "loss": 5.4692,
+      "mean_token_accuracy": 0.16049361675977708,
+      "num_tokens": 4938971.0,
+      "step": 2710
+    },
+    {
+      "entropy": 5.571053695678711,
+      "epoch": 2.2493786246893124,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047385623784078427,
+      "loss": 5.4899,
+      "mean_token_accuracy": 0.15803302526474,
+      "num_tokens": 4948531.0,
+      "step": 2715
+    },
+    {
+      "entropy": 5.787879133224488,
+      "epoch": 2.2535211267605635,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004737065315197913,
+      "loss": 5.5664,
+      "mean_token_accuracy": 0.1587745025753975,
+      "num_tokens": 4957430.0,
+      "step": 2720
+    },
+    {
+      "entropy": 5.720958280563354,
+      "epoch": 2.2576636288318146,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047355642438600987,
+      "loss": 5.5478,
+      "mean_token_accuracy": 0.16044806241989135,
+      "num_tokens": 4966681.0,
+      "step": 2725
+    },
+    {
+      "entropy": 5.638753175735474,
+      "epoch": 2.2618061309030653,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004734059167422225,
+      "loss": 5.4123,
+      "mean_token_accuracy": 0.1639780133962631,
+      "num_tokens": 4975327.0,
+      "step": 2730
+    },
+    {
+      "entropy": 5.634887552261352,
+      "epoch": 2.2659486329743164,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047325500889201956,
+      "loss": 5.4725,
+      "mean_token_accuracy": 0.16207436099648476,
+      "num_tokens": 4983741.0,
+      "step": 2735
+    },
+    {
+      "entropy": 5.673438644409179,
+      "epoch": 2.2700911350455675,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004731037011397986,
+      "loss": 5.5662,
+      "mean_token_accuracy": 0.15884149968624114,
+      "num_tokens": 4993171.0,
+      "step": 2740
+    },
+    {
+      "entropy": 5.752307653427124,
+      "epoch": 2.2742336371168186,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047295199379076403,
+      "loss": 5.6,
+      "mean_token_accuracy": 0.15322241187095642,
+      "num_tokens": 5002810.0,
+      "step": 2745
+    },
+    {
+      "entropy": 5.7073346138000485,
+      "epoch": 2.2783761391880697,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000472799887150926,
+      "loss": 5.4893,
+      "mean_token_accuracy": 0.15741414427757264,
+      "num_tokens": 5011875.0,
+      "step": 2750
+    },
+    {
+      "entropy": 5.679959297180176,
+      "epoch": 2.282518641259321,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004726473815271003,
+      "loss": 5.5349,
+      "mean_token_accuracy": 0.15855301022529603,
+      "num_tokens": 5020780.0,
+      "step": 2755
+    },
+    {
+      "entropy": 5.669374132156372,
+      "epoch": 2.286661143330572,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047249447722690747,
+      "loss": 5.4331,
+      "mean_token_accuracy": 0.16046710908412934,
+      "num_tokens": 5029896.0,
+      "step": 2760
+    },
+    {
+      "entropy": 5.652454280853272,
+      "epoch": 2.2908036454018226,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047234117455877215,
+      "loss": 5.4932,
+      "mean_token_accuracy": 0.1545606277883053,
+      "num_tokens": 5038956.0,
+      "step": 2765
+    },
+    {
+      "entropy": 5.639697694778443,
+      "epoch": 2.2949461474730737,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004721874738319225,
+      "loss": 5.4594,
+      "mean_token_accuracy": 0.17258906960487366,
+      "num_tokens": 5047005.0,
+      "step": 2770
+    },
+    {
+      "entropy": 5.655842065811157,
+      "epoch": 2.299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004720333753563898,
+      "loss": 5.5008,
+      "mean_token_accuracy": 0.15116662830114364,
+      "num_tokens": 5056475.0,
+      "step": 2775
+    },
+    {
+      "entropy": 5.704644584655762,
+      "epoch": 2.303231151615576,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00047187887944300747,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16439782381057738,
+      "num_tokens": 5064978.0,
+      "step": 2780
+    },
+    {
+      "entropy": 5.726413679122925,
+      "epoch": 2.307373653686827,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004717239864034107,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.15506226867437362,
+      "num_tokens": 5074235.0,
+      "step": 2785
+    },
+    {
+      "entropy": 5.662968683242798,
+      "epoch": 2.3115161557580777,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047156869655003554,
+      "loss": 5.4481,
+      "mean_token_accuracy": 0.16141191571950914,
+      "num_tokens": 5082386.0,
+      "step": 2790
+    },
+    {
+      "entropy": 5.631324100494385,
+      "epoch": 2.315658657829329,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047141301019611875,
+      "loss": 5.4164,
+      "mean_token_accuracy": 0.16636510640382768,
+      "num_tokens": 5090634.0,
+      "step": 2795
+    },
+    {
+      "entropy": 5.818879795074463,
+      "epoch": 2.31980115990058,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004712569276556967,
+      "loss": 5.5906,
+      "mean_token_accuracy": 0.14937217235565187,
+      "num_tokens": 5099003.0,
+      "step": 2800
+    },
+    {
+      "entropy": 5.617757177352905,
+      "epoch": 2.323943661971831,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00047110044924360484,
+      "loss": 5.6681,
+      "mean_token_accuracy": 0.1565680392086506,
+      "num_tokens": 5108631.0,
+      "step": 2805
+    },
+    {
+      "entropy": 5.732515859603882,
+      "epoch": 2.328086164043082,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00047094357527547725,
+      "loss": 5.4545,
+      "mean_token_accuracy": 0.15828853249549865,
+      "num_tokens": 5117309.0,
+      "step": 2810
+    },
+    {
+      "entropy": 5.686485624313354,
+      "epoch": 2.332228666114333,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004707863060677459,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.1627561032772064,
+      "num_tokens": 5126305.0,
+      "step": 2815
+    },
+    {
+      "entropy": 5.821760654449463,
+      "epoch": 2.3363711681855843,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00047062864193764,
+      "loss": 5.6022,
+      "mean_token_accuracy": 0.15580221712589265,
+      "num_tokens": 5135338.0,
+      "step": 2820
+    },
+    {
+      "entropy": 5.676449155807495,
+      "epoch": 2.340513670256835,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047047058320318525,
+      "loss": 5.5298,
+      "mean_token_accuracy": 0.16162888556718827,
+      "num_tokens": 5144518.0,
+      "step": 2825
+    },
+    {
+      "entropy": 5.702890157699585,
+      "epoch": 2.344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004703121301832034,
+      "loss": 5.6262,
+      "mean_token_accuracy": 0.15101130157709122,
+      "num_tokens": 5154102.0,
+      "step": 2830
+    },
+    {
+      "entropy": 5.7891247272491455,
+      "epoch": 2.348798674399337,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047015328319731153,
+      "loss": 5.5642,
+      "mean_token_accuracy": 0.15612353384494781,
+      "num_tokens": 5163719.0,
+      "step": 2835
+    },
+    {
+      "entropy": 5.677855682373047,
+      "epoch": 2.3529411764705883,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004699940425659215,
+      "loss": 5.5247,
+      "mean_token_accuracy": 0.15519936084747316,
+      "num_tokens": 5173192.0,
+      "step": 2840
+    },
+    {
+      "entropy": 5.622324132919312,
+      "epoch": 2.3570836785418394,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00046983440861023877,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.1663823500275612,
+      "num_tokens": 5182438.0,
+      "step": 2845
+    },
+    {
+      "entropy": 5.699106454849243,
+      "epoch": 2.36122618061309,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046967438165226275,
+      "loss": 5.6015,
+      "mean_token_accuracy": 0.15352728664875032,
+      "num_tokens": 5191595.0,
+      "step": 2850
+    },
+    {
+      "entropy": 5.659265756607056,
+      "epoch": 2.365368682684341,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004695139620147851,
+      "loss": 5.4682,
+      "mean_token_accuracy": 0.1643056571483612,
+      "num_tokens": 5200174.0,
+      "step": 2855
+    },
+    {
+      "entropy": 5.713242053985596,
+      "epoch": 2.3695111847555923,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046935315002138994,
+      "loss": 5.5804,
+      "mean_token_accuracy": 0.15417435318231582,
+      "num_tokens": 5210454.0,
+      "step": 2860
+    },
+    {
+      "entropy": 5.727554702758789,
+      "epoch": 2.3736536868268434,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004691919459964525,
+      "loss": 5.5019,
+      "mean_token_accuracy": 0.16056040227413176,
+      "num_tokens": 5219243.0,
+      "step": 2865
+    },
+    {
+      "entropy": 5.5862212657928465,
+      "epoch": 2.3777961888980945,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046903035026513894,
+      "loss": 5.4319,
+      "mean_token_accuracy": 0.1613735228776932,
+      "num_tokens": 5228656.0,
+      "step": 2870
+    },
+    {
+      "entropy": 5.587289905548095,
+      "epoch": 2.3819386909693456,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004688683631534056,
+      "loss": 5.4859,
+      "mean_token_accuracy": 0.156366066634655,
+      "num_tokens": 5237807.0,
+      "step": 2875
+    },
+    {
+      "entropy": 5.775411653518677,
+      "epoch": 2.3860811930405967,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004687059849879981,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.1609719067811966,
+      "num_tokens": 5247432.0,
+      "step": 2880
+    },
+    {
+      "entropy": 5.597807741165161,
+      "epoch": 2.3902236951118474,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00046854321609645093,
+      "loss": 5.4145,
+      "mean_token_accuracy": 0.16111126840114592,
+      "num_tokens": 5256680.0,
+      "step": 2885
+    },
+    {
+      "entropy": 5.6380726337432865,
+      "epoch": 2.3943661971830985,
+      "grad_norm": 2.15625,
+      "learning_rate": 0.00046838005680708677,
+      "loss": 5.5296,
+      "mean_token_accuracy": 0.14821895360946655,
+      "num_tokens": 5266793.0,
+      "step": 2890
+    },
+    {
+      "entropy": 5.710390281677246,
+      "epoch": 2.3985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046821650744901573,
+      "loss": 5.4452,
+      "mean_token_accuracy": 0.15857197493314742,
+      "num_tokens": 5275028.0,
+      "step": 2895
+    },
+    {
+      "entropy": 5.598506593704224,
+      "epoch": 2.4026512013256007,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004680525683521347,
+      "loss": 5.5226,
+      "mean_token_accuracy": 0.1566852644085884,
+      "num_tokens": 5284162.0,
+      "step": 2900
+    },
+    {
+      "entropy": 5.757242631912232,
+      "epoch": 2.406793703396852,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004678882398471269,
+      "loss": 5.5911,
+      "mean_token_accuracy": 0.15474308133125306,
+      "num_tokens": 5293263.0,
+      "step": 2905
+    },
+    {
+      "entropy": 5.654598569869995,
+      "epoch": 2.4109362054681025,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046772352226546066,
+      "loss": 5.477,
+      "mean_token_accuracy": 0.1666618600487709,
+      "num_tokens": 5301373.0,
+      "step": 2910
+    },
+    {
+      "entropy": 5.643638467788696,
+      "epoch": 2.4150787075393536,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004675584159393895,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.15203802064061164,
+      "num_tokens": 5311009.0,
+      "step": 2915
+    },
+    {
+      "entropy": 5.699149656295776,
+      "epoch": 2.4192212096106047,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046739292120195083,
+      "loss": 5.5245,
+      "mean_token_accuracy": 0.16085631400346756,
+      "num_tokens": 5320341.0,
+      "step": 2920
+    },
+    {
+      "entropy": 5.642888498306275,
+      "epoch": 2.423363711681856,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004672270383869657,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1610630214214325,
+      "num_tokens": 5329250.0,
+      "step": 2925
+    },
+    {
+      "entropy": 5.62935357093811,
+      "epoch": 2.427506213753107,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004670607678290379,
+      "loss": 5.4471,
+      "mean_token_accuracy": 0.16571807861328125,
+      "num_tokens": 5336515.0,
+      "step": 2930
+    },
+    {
+      "entropy": 5.655415058135986,
+      "epoch": 2.431648715824358,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004668941098635532,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.1595415398478508,
+      "num_tokens": 5346043.0,
+      "step": 2935
+    },
+    {
+      "entropy": 5.642036104202271,
+      "epoch": 2.435791217895609,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00046672706482667897,
+      "loss": 5.4925,
+      "mean_token_accuracy": 0.15832271426916122,
+      "num_tokens": 5355124.0,
+      "step": 2940
+    },
+    {
+      "entropy": 5.647988367080688,
+      "epoch": 2.43993371996686,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004665596330553633,
+      "loss": 5.5051,
+      "mean_token_accuracy": 0.1597411409020424,
+      "num_tokens": 5364556.0,
+      "step": 2945
+    },
+    {
+      "entropy": 5.67459397315979,
+      "epoch": 2.444076222038111,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046639181488733445,
+      "loss": 5.5316,
+      "mean_token_accuracy": 0.15941161364316941,
+      "num_tokens": 5373778.0,
+      "step": 2950
+    },
+    {
+      "entropy": 5.725692987442017,
+      "epoch": 2.448218724109362,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004662236106610999,
+      "loss": 5.5123,
+      "mean_token_accuracy": 0.15816445648670197,
+      "num_tokens": 5382633.0,
+      "step": 2955
+    },
+    {
+      "entropy": 5.5606146335601805,
+      "epoch": 2.452361226180613,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00046605502071594604,
+      "loss": 5.4163,
+      "mean_token_accuracy": 0.16387673169374467,
+      "num_tokens": 5391442.0,
+      "step": 2960
+    },
+    {
+      "entropy": 5.569208765029908,
+      "epoch": 2.4565037282518642,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004658860453919371,
+      "loss": 5.4388,
+      "mean_token_accuracy": 0.1621423229575157,
+      "num_tokens": 5400504.0,
+      "step": 2965
+    },
+    {
+      "entropy": 5.587312078475952,
+      "epoch": 2.460646230323115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004657166850299149,
+      "loss": 5.4448,
+      "mean_token_accuracy": 0.16361159086227417,
+      "num_tokens": 5408939.0,
+      "step": 2970
+    },
+    {
+      "entropy": 5.629118537902832,
+      "epoch": 2.464788732394366,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004655469399714978,
+      "loss": 5.4722,
+      "mean_token_accuracy": 0.1575179159641266,
+      "num_tokens": 5418934.0,
+      "step": 2975
+    },
+    {
+      "entropy": 5.572103595733642,
+      "epoch": 2.468931234465617,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004653768105590799,
+      "loss": 5.4955,
+      "mean_token_accuracy": 0.16008511185646057,
+      "num_tokens": 5427894.0,
+      "step": 2980
+    },
+    {
+      "entropy": 5.683330011367798,
+      "epoch": 2.4730737365368682,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046520629713583115,
+      "loss": 5.5003,
+      "mean_token_accuracy": 0.1613202139735222,
+      "num_tokens": 5436830.0,
+      "step": 2985
+    },
+    {
+      "entropy": 5.597742080688477,
+      "epoch": 2.4772162386081193,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046503540004569555,
+      "loss": 5.4814,
+      "mean_token_accuracy": 0.16423845291137695,
+      "num_tokens": 5445504.0,
+      "step": 2990
+    },
+    {
+      "entropy": 5.679887342453003,
+      "epoch": 2.4813587406793705,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046486411963339125,
+      "loss": 5.5405,
+      "mean_token_accuracy": 0.15501321628689765,
+      "num_tokens": 5455378.0,
+      "step": 2995
+    },
+    {
+      "entropy": 5.712473011016845,
+      "epoch": 2.4855012427506216,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046469245624440955,
+      "loss": 5.6107,
+      "mean_token_accuracy": 0.1589423656463623,
+      "num_tokens": 5465334.0,
+      "step": 3000
+    },
+    {
+      "epoch": 2.4855012427506216,
+      "eval_entropy": 5.590163738234465,
+      "eval_loss": 5.965892314910889,
+      "eval_mean_token_accuracy": 0.14734836894947329,
+      "eval_num_tokens": 5465334.0,
+      "eval_runtime": 2.7526,
+      "eval_samples_per_second": 1361.234,
+      "eval_steps_per_second": 170.381,
+      "step": 3000
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 12060,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 8147857696128000.0,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}
diff --git a/checkpoint-3000/training_args.bin b/checkpoint-3000/training_args.bin
new file mode 100644
index 0000000..47a7b32
--- /dev/null
+++ b/checkpoint-3000/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e406e906697be5d5c4bea7f90a038122ca162eb6b7e40512a32661ef55af9075
+size 6353
diff --git a/checkpoint-3500/added_tokens.json b/checkpoint-3500/added_tokens.json
new file mode 100644
index 0000000..b3dbcdb
--- /dev/null
+++ b/checkpoint-3500/added_tokens.json
@@ -0,0 +1,1202 @@
+{
+  "<pad>": 50002,
+  "[CLS]": 50000,
+  "[MASK]": 50003,
+  "[SEP]": 50001,
+  "[XXXXX0]": 50771,
+  "[XXXXX1000]": 50549,
+  "[XXXXX1001]": 50657,
+  "[XXXXX1002]": 51158,
+  "[XXXXX1003]": 51044,
+  "[XXXXX1004]": 50688,
+  "[XXXXX1005]": 50689,
+  "[XXXXX1006]": 50410,
+  "[XXXXX1007]": 50724,
+  "[XXXXX1008]": 50171,
+  "[XXXXX1009]": 51077,
+  "[XXXXX100]": 50091,
+  "[XXXXX1010]": 50639,
+  "[XXXXX1011]": 51094,
+  "[XXXXX1012]": 50392,
+  "[XXXXX1013]": 50626,
+  "[XXXXX1014]": 50991,
+  "[XXXXX1015]": 50529,
+  "[XXXXX1016]": 51193,
+  "[XXXXX1017]": 51073,
+  "[XXXXX1018]": 51104,
+  "[XXXXX1019]": 50775,
+  "[XXXXX101]": 50139,
+  "[XXXXX1020]": 50157,
+  "[XXXXX1021]": 50934,
+  "[XXXXX1022]": 51159,
+  "[XXXXX1023]": 50048,
+  "[XXXXX1024]": 51123,
+  "[XXXXX1025]": 50084,
+  "[XXXXX1026]": 50813,
+  "[XXXXX1027]": 50725,
+  "[XXXXX1028]": 50931,
+  "[XXXXX1029]": 50233,
+  "[XXXXX102]": 50213,
+  "[XXXXX1030]": 51023,
+  "[XXXXX1031]": 50098,
+  "[XXXXX1032]": 50802,
+  "[XXXXX1033]": 50061,
+  "[XXXXX1034]": 51139,
+  "[XXXXX1035]": 51110,
+  "[XXXXX1036]": 50204,
+  "[XXXXX1037]": 50023,
+  "[XXXXX1038]": 50142,
+  "[XXXXX1039]": 50328,
+  "[XXXXX103]": 50087,
+  "[XXXXX1040]": 50435,
+  "[XXXXX1041]": 50489,
+  "[XXXXX1042]": 50216,
+  "[XXXXX1043]": 50144,
+  "[XXXXX1044]": 50832,
+  "[XXXXX1045]": 50566,
+  "[XXXXX1046]": 50922,
+  "[XXXXX1047]": 50796,
+  "[XXXXX1048]": 50533,
+  "[XXXXX1049]": 50433,
+  "[XXXXX104]": 50478,
+  "[XXXXX1050]": 50953,
+  "[XXXXX1051]": 50497,
+  "[XXXXX1052]": 50655,
+  "[XXXXX1053]": 50881,
+  "[XXXXX1054]": 50461,
+  "[XXXXX1055]": 50052,
+  "[XXXXX1056]": 50219,
+  "[XXXXX1057]": 50789,
+  "[XXXXX1058]": 50121,
+  "[XXXXX1059]": 51002,
+  "[XXXXX105]": 51192,
+  "[XXXXX1060]": 50158,
+  "[XXXXX1061]": 50352,
+  "[XXXXX1062]": 50637,
+  "[XXXXX1063]": 50440,
+  "[XXXXX1064]": 50590,
+  "[XXXXX1065]": 51107,
+  "[XXXXX1066]": 50758,
+  "[XXXXX1067]": 51011,
+  "[XXXXX1068]": 50985,
+  "[XXXXX1069]": 51175,
+  "[XXXXX106]": 50532,
+  "[XXXXX1070]": 50790,
+  "[XXXXX1071]": 50394,
+  "[XXXXX1072]": 50852,
+  "[XXXXX1073]": 50869,
+  "[XXXXX1074]": 50126,
+  "[XXXXX1075]": 50783,
+  "[XXXXX1076]": 50806,
+  "[XXXXX1077]": 50882,
+  "[XXXXX1078]": 50726,
+  "[XXXXX1079]": 51010,
+  "[XXXXX107]": 50714,
+  "[XXXXX1080]": 50168,
+  "[XXXXX1081]": 50425,
+  "[XXXXX1082]": 50848,
+  "[XXXXX1083]": 50014,
+  "[XXXXX1084]": 50341,
+  "[XXXXX1085]": 50734,
+  "[XXXXX1086]": 50664,
+  "[XXXXX1087]": 51007,
+  "[XXXXX1088]": 51151,
+  "[XXXXX1089]": 50269,
+  "[XXXXX108]": 50996,
+  "[XXXXX1090]": 50826,
+  "[XXXXX1091]": 51105,
+  "[XXXXX1092]": 50731,
+  "[XXXXX1093]": 50856,
+  "[XXXXX1094]": 50369,
+  "[XXXXX1095]": 50065,
+  "[XXXXX1096]": 50309,
+  "[XXXXX1097]": 50838,
+  "[XXXXX1098]": 50451,
+  "[XXXXX1099]": 50384,
+  "[XXXXX109]": 50543,
+  "[XXXXX10]": 50325,
+  "[XXXXX1100]": 50318,
+  "[XXXXX1101]": 50764,
+  "[XXXXX1102]": 51025,
+  "[XXXXX1103]": 50642,
+  "[XXXXX1104]": 50665,
+  "[XXXXX1105]": 50855,
+  "[XXXXX1106]": 51063,
+  "[XXXXX1107]": 50025,
+  "[XXXXX1108]": 50122,
+  "[XXXXX1109]": 50470,
+  "[XXXXX110]": 50062,
+  "[XXXXX1110]": 51019,
+  "[XXXXX1111]": 51124,
+  "[XXXXX1112]": 50146,
+  "[XXXXX1113]": 51125,
+  "[XXXXX1114]": 50434,
+  "[XXXXX1115]": 50818,
+  "[XXXXX1116]": 50960,
+  "[XXXXX1117]": 50258,
+  "[XXXXX1118]": 50596,
+  "[XXXXX1119]": 50083,
+  "[XXXXX111]": 51064,
+  "[XXXXX1120]": 50915,
+  "[XXXXX1121]": 50835,
+  "[XXXXX1122]": 51056,
+  "[XXXXX1123]": 50172,
+  "[XXXXX1124]": 50972,
+  "[XXXXX1125]": 50275,
+  "[XXXXX1126]": 50430,
+  "[XXXXX1127]": 50743,
+  "[XXXXX1128]": 50551,
+  "[XXXXX1129]": 50439,
+  "[XXXXX112]": 50819,
+  "[XXXXX1130]": 50536,
+  "[XXXXX1131]": 50622,
+  "[XXXXX1132]": 50623,
+  "[XXXXX1133]": 50117,
+  "[XXXXX1134]": 50251,
+  "[XXXXX1135]": 50678,
+  "[XXXXX1136]": 50316,
+  "[XXXXX1137]": 50905,
+  "[XXXXX1138]": 50992,
+  "[XXXXX1139]": 50851,
+  "[XXXXX113]": 50443,
+  "[XXXXX1140]": 50499,
+  "[XXXXX1141]": 50629,
+  "[XXXXX1142]": 50944,
+  "[XXXXX1143]": 50373,
+  "[XXXXX1144]": 50123,
+  "[XXXXX1145]": 50173,
+  "[XXXXX1146]": 50891,
+  "[XXXXX1147]": 50471,
+  "[XXXXX1148]": 50560,
+  "[XXXXX1149]": 50541,
+  "[XXXXX114]": 50631,
+  "[XXXXX1150]": 50033,
+  "[XXXXX1151]": 50063,
+  "[XXXXX1152]": 50767,
+  "[XXXXX1153]": 50897,
+  "[XXXXX1154]": 50568,
+  "[XXXXX1155]": 51131,
+  "[XXXXX1156]": 50009,
+  "[XXXXX1157]": 50417,
+  "[XXXXX1158]": 50477,
+  "[XXXXX1159]": 50941,
+  "[XXXXX115]": 50294,
+  "[XXXXX1160]": 50679,
+  "[XXXXX1161]": 51108,
+  "[XXXXX1162]": 50332,
+  "[XXXXX1163]": 50424,
+  "[XXXXX1164]": 50473,
+  "[XXXXX1165]": 50793,
+  "[XXXXX1166]": 50453,
+  "[XXXXX1167]": 50807,
+  "[XXXXX1168]": 50128,
+  "[XXXXX1169]": 50039,
+  "[XXXXX116]": 50759,
+  "[XXXXX1170]": 50735,
+  "[XXXXX1171]": 50366,
+  "[XXXXX1172]": 50808,
+  "[XXXXX1173]": 50426,
+  "[XXXXX1174]": 50076,
+  "[XXXXX1175]": 50943,
+  "[XXXXX1176]": 50252,
+  "[XXXXX1177]": 50999,
+  "[XXXXX1178]": 50264,
+  "[XXXXX1179]": 50607,
+  "[XXXXX117]": 51036,
+  "[XXXXX1180]": 50986,
+  "[XXXXX1181]": 50744,
+  "[XXXXX1182]": 50186,
+  "[XXXXX1183]": 50555,
+  "[XXXXX1184]": 51076,
+  "[XXXXX1185]": 50849,
+  "[XXXXX1186]": 51128,
+  "[XXXXX1187]": 50858,
+  "[XXXXX1188]": 50656,
+  "[XXXXX1189]": 50064,
+  "[XXXXX118]": 50081,
+  "[XXXXX1190]": 51197,
+  "[XXXXX1191]": 50104,
+  "[XXXXX1192]": 50045,
+  "[XXXXX1193]": 50404,
+  "[XXXXX1194]": 50690,
+  "[XXXXX1195]": 50495,
+  "[XXXXX119]": 50108,
+  "[XXXXX11]": 50976,
+  "[XXXXX120]": 51081,
+  "[XXXXX121]": 50464,
+  "[XXXXX122]": 50829,
+  "[XXXXX123]": 50766,
+  "[XXXXX124]": 50732,
+  "[XXXXX125]": 50221,
+  "[XXXXX126]": 50810,
+  "[XXXXX127]": 50130,
+  "[XXXXX128]": 50751,
+  "[XXXXX129]": 50662,
+  "[XXXXX12]": 50602,
+  "[XXXXX130]": 50035,
+  "[XXXXX131]": 50715,
+  "[XXXXX132]": 50340,
+  "[XXXXX133]": 50563,
+  "[XXXXX134]": 50993,
+  "[XXXXX135]": 50304,
+  "[XXXXX136]": 50131,
+  "[XXXXX137]": 50578,
+  "[XXXXX138]": 50757,
+  "[XXXXX139]": 50582,
+  "[XXXXX13]": 50105,
+  "[XXXXX140]": 50085,
+  "[XXXXX141]": 50553,
+  "[XXXXX142]": 50749,
+  "[XXXXX143]": 50351,
+  "[XXXXX144]": 51024,
+  "[XXXXX145]": 51144,
+  "[XXXXX146]": 50042,
+  "[XXXXX147]": 50145,
+  "[XXXXX148]": 50066,
+  "[XXXXX149]": 50876,
+  "[XXXXX14]": 51006,
+  "[XXXXX150]": 50280,
+  "[XXXXX151]": 50093,
+  "[XXXXX152]": 50638,
+  "[XXXXX153]": 50684,
+  "[XXXXX154]": 50820,
+  "[XXXXX155]": 51196,
+  "[XXXXX156]": 50317,
+  "[XXXXX157]": 50284,
+  "[XXXXX158]": 50288,
+  "[XXXXX159]": 50814,
+  "[XXXXX15]": 50608,
+  "[XXXXX160]": 50004,
+  "[XXXXX161]": 50008,
+  "[XXXXX162]": 50377,
+  "[XXXXX163]": 50214,
+  "[XXXXX164]": 50708,
+  "[XXXXX165]": 50390,
+  "[XXXXX166]": 50741,
+  "[XXXXX167]": 50445,
+  "[XXXXX168]": 50936,
+  "[XXXXX169]": 50896,
+  "[XXXXX16]": 50442,
+  "[XXXXX170]": 50109,
+  "[XXXXX171]": 50140,
+  "[XXXXX172]": 50427,
+  "[XXXXX173]": 51074,
+  "[XXXXX174]": 50162,
+  "[XXXXX175]": 51015,
+  "[XXXXX176]": 50524,
+  "[XXXXX177]": 50673,
+  "[XXXXX178]": 50054,
+  "[XXXXX179]": 50805,
+  "[XXXXX17]": 50482,
+  "[XXXXX180]": 50253,
+  "[XXXXX181]": 50493,
+  "[XXXXX182]": 50421,
+  "[XXXXX183]": 51050,
+  "[XXXXX184]": 50521,
+  "[XXXXX185]": 50188,
+  "[XXXXX186]": 50147,
+  "[XXXXX187]": 50201,
+  "[XXXXX188]": 50973,
+  "[XXXXX189]": 50409,
+  "[XXXXX18]": 50115,
+  "[XXXXX190]": 50051,
+  "[XXXXX191]": 51020,
+  "[XXXXX192]": 51047,
+  "[XXXXX193]": 50669,
+  "[XXXXX194]": 50643,
+  "[XXXXX195]": 50159,
+  "[XXXXX196]": 50649,
+  "[XXXXX197]": 51178,
+  "[XXXXX198]": 50043,
+  "[XXXXX199]": 51147,
+  "[XXXXX19]": 51127,
+  "[XXXXX1]": 51114,
+  "[XXXXX200]": 50840,
+  "[XXXXX201]": 50365,
+  "[XXXXX202]": 50232,
+  "[XXXXX203]": 50241,
+  "[XXXXX204]": 50548,
+  "[XXXXX205]": 50781,
+  "[XXXXX206]": 50923,
+  "[XXXXX207]": 51115,
+  "[XXXXX208]": 50344,
+  "[XXXXX209]": 50299,
+  "[XXXXX20]": 51031,
+  "[XXXXX210]": 51179,
+  "[XXXXX211]": 51163,
+  "[XXXXX212]": 50562,
+  "[XXXXX213]": 50094,
+  "[XXXXX214]": 50257,
+  "[XXXXX215]": 50967,
+  "[XXXXX216]": 50523,
+  "[XXXXX217]": 51132,
+  "[XXXXX218]": 51146,
+  "[XXXXX219]": 50411,
+  "[XXXXX21]": 50354,
+  "[XXXXX220]": 50853,
+  "[XXXXX221]": 50886,
+  "[XXXXX222]": 50600,
+  "[XXXXX223]": 50873,
+  "[XXXXX224]": 50416,
+  "[XXXXX225]": 50675,
+  "[XXXXX226]": 50583,
+  "[XXXXX227]": 50151,
+  "[XXXXX228]": 50927,
+  "[XXXXX229]": 50609,
+  "[XXXXX22]": 50589,
+  "[XXXXX230]": 50238,
+  "[XXXXX231]": 50242,
+  "[XXXXX232]": 51016,
+  "[XXXXX233]": 50406,
+  "[XXXXX234]": 50908,
+  "[XXXXX235]": 50024,
+  "[XXXXX236]": 50270,
+  "[XXXXX237]": 50132,
+  "[XXXXX238]": 50800,
+  "[XXXXX239]": 50236,
+  "[XXXXX23]": 50007,
+  "[XXXXX240]": 50005,
+  "[XXXXX241]": 50894,
+  "[XXXXX242]": 50694,
+  "[XXXXX243]": 51071,
+  "[XXXXX244]": 51017,
+  "[XXXXX245]": 50068,
+  "[XXXXX246]": 50682,
+  "[XXXXX247]": 50913,
+  "[XXXXX248]": 51028,
+  "[XXXXX249]": 50037,
+  "[XXXXX24]": 51169,
+  "[XXXXX250]": 50747,
+  "[XXXXX251]": 50947,
+  "[XXXXX252]": 50329,
+  "[XXXXX253]": 50612,
+  "[XXXXX254]": 50110,
+  "[XXXXX255]": 50824,
+  "[XXXXX256]": 50558,
+  "[XXXXX257]": 50969,
+  "[XXXXX258]": 50729,
+  "[XXXXX259]": 50125,
+  "[XXXXX25]": 51160,
+  "[XXXXX260]": 50040,
+  "[XXXXX261]": 51038,
+  "[XXXXX262]": 50347,
+  "[XXXXX263]": 50740,
+  "[XXXXX264]": 51195,
+  "[XXXXX265]": 50879,
+  "[XXXXX266]": 50770,
+  "[XXXXX267]": 50178,
+  "[XXXXX268]": 50804,
+  "[XXXXX269]": 50906,
+  "[XXXXX26]": 50150,
+  "[XXXXX270]": 51191,
+  "[XXXXX271]": 50047,
+  "[XXXXX272]": 50195,
+  "[XXXXX273]": 50554,
+  "[XXXXX274]": 50833,
+  "[XXXXX275]": 50346,
+  "[XXXXX276]": 50950,
+  "[XXXXX277]": 50864,
+  "[XXXXX278]": 50259,
+  "[XXXXX279]": 50671,
+  "[XXXXX27]": 50468,
+  "[XXXXX280]": 50082,
+  "[XXXXX281]": 50565,
+  "[XXXXX282]": 50984,
+  "[XXXXX283]": 50650,
+  "[XXXXX284]": 50975,
+  "[XXXXX285]": 50603,
+  "[XXXXX286]": 50027,
+  "[XXXXX287]": 50181,
+  "[XXXXX288]": 50981,
+  "[XXXXX289]": 50885,
+  "[XXXXX28]": 50249,
+  "[XXXXX290]": 50522,
+  "[XXXXX291]": 50050,
+  "[XXXXX292]": 50313,
+  "[XXXXX293]": 50503,
+  "[XXXXX294]": 51176,
+  "[XXXXX295]": 51177,
+  "[XXXXX296]": 50379,
+  "[XXXXX297]": 50635,
+  "[XXXXX298]": 50723,
+  "[XXXXX299]": 50200,
+  "[XXXXX29]": 50892,
+  "[XXXXX2]": 51119,
+  "[XXXXX300]": 51026,
+  "[XXXXX301]": 50528,
+  "[XXXXX302]": 51149,
+  "[XXXXX303]": 50044,
+  "[XXXXX304]": 50209,
+  "[XXXXX305]": 50988,
+  "[XXXXX306]": 50518,
+  "[XXXXX307]": 50088,
+  "[XXXXX308]": 50733,
+  "[XXXXX309]": 51066,
+  "[XXXXX30]": 50506,
+  "[XXXXX310]": 50285,
+  "[XXXXX311]": 50859,
+  "[XXXXX312]": 50263,
+  "[XXXXX313]": 50594,
+  "[XXXXX314]": 51103,
+  "[XXXXX315]": 50871,
+  "[XXXXX316]": 50300,
+  "[XXXXX317]": 50760,
+  "[XXXXX318]": 50055,
+  "[XXXXX319]": 50389,
+  "[XXXXX31]": 50212,
+  "[XXXXX320]": 50444,
+  "[XXXXX321]": 50994,
+  "[XXXXX322]": 50281,
+  "[XXXXX323]": 50179,
+  "[XXXXX324]": 50455,
+  "[XXXXX325]": 50970,
+  "[XXXXX326]": 50666,
+  "[XXXXX327]": 50604,
+  "[XXXXX328]": 50627,
+  "[XXXXX329]": 50475,
+  "[XXXXX32]": 50277,
+  "[XXXXX330]": 50667,
+  "[XXXXX331]": 50348,
+  "[XXXXX332]": 50772,
+  "[XXXXX333]": 50163,
+  "[XXXXX334]": 50569,
+  "[XXXXX335]": 50018,
+  "[XXXXX336]": 50883,
+  "[XXXXX337]": 50067,
+  "[XXXXX338]": 51184,
+  "[XXXXX339]": 50997,
+  "[XXXXX33]": 50403,
+  "[XXXXX340]": 51013,
+  "[XXXXX341]": 50957,
+  "[XXXXX342]": 51106,
+  "[XXXXX343]": 51174,
+  "[XXXXX344]": 50391,
+  "[XXXXX345]": 50948,
+  "[XXXXX346]": 50180,
+  "[XXXXX347]": 50811,
+  "[XXXXX348]": 50401,
+  "[XXXXX349]": 50911,
+  "[XXXXX34]": 50223,
+  "[XXXXX350]": 51089,
+  "[XXXXX351]": 50777,
+  "[XXXXX352]": 50189,
+  "[XXXXX353]": 50492,
+  "[XXXXX354]": 50205,
+  "[XXXXX355]": 50374,
+  "[XXXXX356]": 51152,
+  "[XXXXX357]": 50695,
+  "[XXXXX358]": 51117,
+  "[XXXXX359]": 50573,
+  "[XXXXX35]": 50752,
+  "[XXXXX360]": 50955,
+  "[XXXXX361]": 50349,
+  "[XXXXX362]": 51137,
+  "[XXXXX363]": 50641,
+  "[XXXXX364]": 51148,
+  "[XXXXX365]": 50255,
+  "[XXXXX366]": 50310,
+  "[XXXXX367]": 50314,
+  "[XXXXX368]": 50971,
+  "[XXXXX369]": 50916,
+  "[XXXXX36]": 50437,
+  "[XXXXX370]": 51096,
+  "[XXXXX371]": 50557,
+  "[XXXXX372]": 51095,
+  "[XXXXX373]": 50382,
+  "[XXXXX374]": 50119,
+  "[XXXXX375]": 50958,
+  "[XXXXX376]": 50624,
+  "[XXXXX377]": 50483,
+  "[XXXXX378]": 50605,
+  "[XXXXX379]": 50017,
+  "[XXXXX37]": 50706,
+  "[XXXXX380]": 50246,
+  "[XXXXX381]": 50588,
+  "[XXXXX382]": 51008,
+  "[XXXXX383]": 50801,
+  "[XXXXX384]": 50290,
+  "[XXXXX385]": 50899,
+  "[XXXXX386]": 50206,
+  "[XXXXX387]": 50716,
+  "[XXXXX388]": 51082,
+  "[XXXXX389]": 50177,
+  "[XXXXX38]": 50736,
+  "[XXXXX390]": 50282,
+  "[XXXXX391]": 51183,
+  "[XXXXX392]": 50286,
+  "[XXXXX393]": 50659,
+  "[XXXXX394]": 50378,
+  "[XXXXX395]": 50709,
+  "[XXXXX396]": 50028,
+  "[XXXXX397]": 50235,
+  "[XXXXX398]": 51014,
+  "[XXXXX399]": 50880,
+  "[XXXXX39]": 50305,
+  "[XXXXX3]": 50077,
+  "[XXXXX400]": 50155,
+  "[XXXXX401]": 50710,
+  "[XXXXX402]": 50507,
+  "[XXXXX403]": 50860,
+  "[XXXXX404]": 50661,
+  "[XXXXX405]": 51083,
+  "[XXXXX406]": 50888,
+  "[XXXXX407]": 50069,
+  "[XXXXX408]": 50691,
+  "[XXXXX409]": 51055,
+  "[XXXXX40]": 50337,
+  "[XXXXX410]": 50137,
+  "[XXXXX411]": 50791,
+  "[XXXXX412]": 50136,
+  "[XXXXX413]": 50730,
+  "[XXXXX414]": 50267,
+  "[XXXXX415]": 50012,
+  "[XXXXX416]": 50681,
+  "[XXXXX417]": 50942,
+  "[XXXXX418]": 50720,
+  "[XXXXX419]": 50844,
+  "[XXXXX41]": 50387,
+  "[XXXXX420]": 50111,
+  "[XXXXX421]": 51003,
+  "[XXXXX422]": 50785,
+  "[XXXXX423]": 50149,
+  "[XXXXX424]": 50422,
+  "[XXXXX425]": 51086,
+  "[XXXXX426]": 50862,
+  "[XXXXX427]": 50576,
+  "[XXXXX428]": 51049,
+  "[XXXXX429]": 50630,
+  "[XXXXX42]": 50799,
+  "[XXXXX430]": 50289,
+  "[XXXXX431]": 50184,
+  "[XXXXX432]": 50319,
+  "[XXXXX433]": 51116,
+  "[XXXXX434]": 50519,
+  "[XXXXX435]": 50496,
+  "[XXXXX436]": 50517,
+  "[XXXXX437]": 50865,
+  "[XXXXX438]": 50737,
+  "[XXXXX439]": 50356,
+  "[XXXXX43]": 50359,
+  "[XXXXX440]": 50898,
+  "[XXXXX441]": 50113,
+  "[XXXXX442]": 50527,
+  "[XXXXX443]": 50762,
+  "[XXXXX444]": 50540,
+  "[XXXXX445]": 50925,
+  "[XXXXX446]": 50711,
+  "[XXXXX447]": 50143,
+  "[XXXXX448]": 51170,
+  "[XXXXX449]": 50413,
+  "[XXXXX44]": 50097,
+  "[XXXXX450]": 50375,
+  "[XXXXX451]": 50846,
+  "[XXXXX452]": 50217,
+  "[XXXXX453]": 50699,
+  "[XXXXX454]": 50412,
+  "[XXXXX455]": 50418,
+  "[XXXXX456]": 51143,
+  "[XXXXX457]": 51141,
+  "[XXXXX458]": 51157,
+  "[XXXXX459]": 50825,
+  "[XXXXX45]": 50203,
+  "[XXXXX460]": 50194,
+  "[XXXXX461]": 50148,
+  "[XXXXX462]": 50276,
+  "[XXXXX463]": 50271,
+  "[XXXXX464]": 50836,
+  "[XXXXX465]": 50854,
+  "[XXXXX466]": 50164,
+  "[XXXXX467]": 50484,
+  "[XXXXX468]": 51097,
+  "[XXXXX469]": 50182,
+  "[XXXXX46]": 50505,
+  "[XXXXX470]": 50670,
+  "[XXXXX471]": 50595,
+  "[XXXXX472]": 50237,
+  "[XXXXX473]": 50057,
+  "[XXXXX474]": 50431,
+  "[XXXXX475]": 50738,
+  "[XXXXX476]": 51145,
+  "[XXXXX477]": 50247,
+  "[XXXXX478]": 50029,
+  "[XXXXX479]": 50917,
+  "[XXXXX47]": 50579,
+  "[XXXXX480]": 50702,
+  "[XXXXX481]": 50831,
+  "[XXXXX482]": 50753,
+  "[XXXXX483]": 50598,
+  "[XXXXX484]": 51136,
+  "[XXXXX485]": 50092,
+  "[XXXXX486]": 50202,
+  "[XXXXX487]": 50106,
+  "[XXXXX488]": 50924,
+  "[XXXXX489]": 51113,
+  "[XXXXX48]": 50842,
+  "[XXXXX490]": 50761,
+  "[XXXXX491]": 50577,
+  "[XXXXX492]": 50692,
+  "[XXXXX493]": 51130,
+  "[XXXXX494]": 50932,
+  "[XXXXX495]": 50837,
+  "[XXXXX496]": 50893,
+  "[XXXXX497]": 50773,
+  "[XXXXX498]": 50360,
+  "[XXXXX499]": 50900,
+  "[XXXXX49]": 51062,
+  "[XXXXX4]": 50396,
+  "[XXXXX500]": 51034,
+  "[XXXXX501]": 50472,
+  "[XXXXX502]": 50660,
+  "[XXXXX503]": 50815,
+  "[XXXXX504]": 50939,
+  "[XXXXX505]": 50419,
+  "[XXXXX506]": 50324,
+  "[XXXXX507]": 50428,
+  "[XXXXX508]": 50274,
+  "[XXXXX509]": 50311,
+  "[XXXXX50]": 50459,
+  "[XXXXX510]": 50674,
+  "[XXXXX511]": 50580,
+  "[XXXXX512]": 50956,
+  "[XXXXX513]": 50165,
+  "[XXXXX514]": 50320,
+  "[XXXXX515]": 50648,
+  "[XXXXX516]": 50386,
+  "[XXXXX517]": 50058,
+  "[XXXXX518]": 51045,
+  "[XXXXX519]": 50103,
+  "[XXXXX51]": 50979,
+  "[XXXXX520]": 50530,
+  "[XXXXX521]": 50907,
+  "[XXXXX522]": 50260,
+  "[XXXXX523]": 50632,
+  "[XXXXX524]": 50926,
+  "[XXXXX525]": 50687,
+  "[XXXXX526]": 50160,
+  "[XXXXX527]": 51053,
+  "[XXXXX528]": 50652,
+  "[XXXXX529]": 51041,
+  "[XXXXX52]": 50272,
+  "[XXXXX530]": 51111,
+  "[XXXXX531]": 51009,
+  "[XXXXX532]": 51079,
+  "[XXXXX533]": 50487,
+  "[XXXXX534]": 51059,
+  "[XXXXX535]": 50335,
+  "[XXXXX536]": 50380,
+  "[XXXXX537]": 50301,
+  "[XXXXX538]": 51067,
+  "[XXXXX539]": 51052,
+  "[XXXXX53]": 51048,
+  "[XXXXX540]": 50822,
+  "[XXXXX541]": 51040,
+  "[XXXXX542]": 50490,
+  "[XXXXX543]": 50448,
+  "[XXXXX544]": 50812,
+  "[XXXXX545]": 50099,
+  "[XXXXX546]": 51199,
+  "[XXXXX547]": 50226,
+  "[XXXXX548]": 50538,
+  "[XXXXX549]": 50342,
+  "[XXXXX54]": 50701,
+  "[XXXXX550]": 50544,
+  "[XXXXX551]": 50398,
+  "[XXXXX552]": 51102,
+  "[XXXXX553]": 50919,
+  "[XXXXX554]": 50615,
+  "[XXXXX555]": 50769,
+  "[XXXXX556]": 50940,
+  "[XXXXX557]": 50070,
+  "[XXXXX558]": 50680,
+  "[XXXXX559]": 50611,
+  "[XXXXX55]": 50574,
+  "[XXXXX560]": 50381,
+  "[XXXXX561]": 50350,
+  "[XXXXX562]": 50175,
+  "[XXXXX563]": 50584,
+  "[XXXXX564]": 50703,
+  "[XXXXX565]": 50989,
+  "[XXXXX566]": 50877,
+  "[XXXXX567]": 51039,
+  "[XXXXX568]": 51018,
+  "[XXXXX569]": 50452,
+  "[XXXXX56]": 51099,
+  "[XXXXX570]": 50161,
+  "[XXXXX571]": 50921,
+  "[XXXXX572]": 50676,
+  "[XXXXX573]": 50326,
+  "[XXXXX574]": 50987,
+  "[XXXXX575]": 50361,
+  "[XXXXX576]": 50071,
+  "[XXXXX577]": 50803,
+  "[XXXXX578]": 50400,
+  "[XXXXX579]": 51091,
+  "[XXXXX57]": 50501,
+  "[XXXXX580]": 50887,
+  "[XXXXX581]": 50839,
+  "[XXXXX582]": 51138,
+  "[XXXXX583]": 50816,
+  "[XXXXX584]": 50339,
+  "[XXXXX585]": 50463,
+  "[XXXXX586]": 50399,
+  "[XXXXX587]": 51070,
+  "[XXXXX588]": 50457,
+  "[XXXXX589]": 50828,
+  "[XXXXX58]": 50183,
+  "[XXXXX590]": 50080,
+  "[XXXXX591]": 50550,
+  "[XXXXX592]": 50129,
+  "[XXXXX593]": 50273,
+  "[XXXXX594]": 50388,
+  "[XXXXX595]": 50491,
+  "[XXXXX596]": 50278,
+  "[XXXXX597]": 50011,
+  "[XXXXX598]": 50254,
+  "[XXXXX599]": 50302,
+  "[XXXXX59]": 50353,
+  "[XXXXX5]": 50010,
+  "[XXXXX600]": 50704,
+  "[XXXXX601]": 51118,
+  "[XXXXX602]": 50049,
+  "[XXXXX603]": 51190,
+  "[XXXXX604]": 51142,
+  "[XXXXX605]": 50707,
+  "[XXXXX606]": 50937,
+  "[XXXXX607]": 50875,
+  "[XXXXX608]": 50564,
+  "[XXXXX609]": 50345,
+  "[XXXXX60]": 50713,
+  "[XXXXX610]": 50949,
+  "[XXXXX611]": 50978,
+  "[XXXXX612]": 50330,
+  "[XXXXX613]": 51035,
+  "[XXXXX614]": 50402,
+  "[XXXXX615]": 50176,
+  "[XXXXX616]": 51133,
+  "[XXXXX617]": 50222,
+  "[XXXXX618]": 50118,
+  "[XXXXX619]": 50196,
+  "[XXXXX61]": 50298,
+  "[XXXXX620]": 50668,
+  "[XXXXX621]": 50462,
+  "[XXXXX622]": 50218,
+  "[XXXXX623]": 51101,
+  "[XXXXX624]": 50362,
+  "[XXXXX625]": 50779,
+  "[XXXXX626]": 50513,
+  "[XXXXX627]": 50746,
+  "[XXXXX628]": 50141,
+  "[XXXXX629]": 50479,
+  "[XXXXX62]": 50056,
+  "[XXXXX630]": 51180,
+  "[XXXXX631]": 50872,
+  "[XXXXX632]": 50315,
+  "[XXXXX633]": 50397,
+  "[XXXXX634]": 51165,
+  "[XXXXX635]": 50046,
+  "[XXXXX636]": 50795,
+  "[XXXXX637]": 50959,
+  "[XXXXX638]": 50786,
+  "[XXXXX639]": 50240,
+  "[XXXXX63]": 51061,
+  "[XXXXX640]": 50601,
+  "[XXXXX641]": 50904,
+  "[XXXXX642]": 50376,
+  "[XXXXX643]": 50663,
+  "[XXXXX644]": 50613,
+  "[XXXXX645]": 50467,
+  "[XXXXX646]": 50546,
+  "[XXXXX647]": 50465,
+  "[XXXXX648]": 50395,
+  "[XXXXX649]": 50287,
+  "[XXXXX64]": 51162,
+  "[XXXXX650]": 50474,
+  "[XXXXX651]": 50727,
+  "[XXXXX652]": 50243,
+  "[XXXXX653]": 51100,
+  "[XXXXX654]": 50705,
+  "[XXXXX655]": 51012,
+  "[XXXXX656]": 50447,
+  "[XXXXX657]": 50719,
+  "[XXXXX658]": 50712,
+  "[XXXXX659]": 50476,
+  "[XXXXX65]": 50587,
+  "[XXXXX660]": 51054,
+  "[XXXXX661]": 51166,
+  "[XXXXX662]": 50494,
+  "[XXXXX663]": 50230,
+  "[XXXXX664]": 50621,
+  "[XXXXX665]": 50809,
+  "[XXXXX666]": 50265,
+  "[XXXXX667]": 50645,
+  "[XXXXX668]": 50817,
+  "[XXXXX669]": 50030,
+  "[XXXXX66]": 51029,
+  "[XXXXX670]": 51004,
+  "[XXXXX671]": 50685,
+  "[XXXXX672]": 50625,
+  "[XXXXX673]": 50890,
+  "[XXXXX674]": 50383,
+  "[XXXXX675]": 50929,
+  "[XXXXX676]": 50116,
+  "[XXXXX677]": 51072,
+  "[XXXXX678]": 51126,
+  "[XXXXX679]": 50755,
+  "[XXXXX67]": 50717,
+  "[XXXXX680]": 50303,
+  "[XXXXX681]": 50504,
+  "[XXXXX682]": 51075,
+  "[XXXXX683]": 50261,
+  "[XXXXX684]": 50861,
+  "[XXXXX685]": 50306,
+  "[XXXXX686]": 50016,
+  "[XXXXX687]": 50101,
+  "[XXXXX688]": 51098,
+  "[XXXXX689]": 50827,
+  "[XXXXX68]": 50863,
+  "[XXXXX690]": 50640,
+  "[XXXXX691]": 50031,
+  "[XXXXX692]": 50768,
+  "[XXXXX693]": 50013,
+  "[XXXXX694]": 51032,
+  "[XXXXX695]": 50166,
+  "[XXXXX696]": 50127,
+  "[XXXXX697]": 50414,
+  "[XXXXX698]": 50742,
+  "[XXXXX699]": 51042,
+  "[XXXXX69]": 51112,
+  "[XXXXX6]": 50593,
+  "[XXXXX700]": 50292,
+  "[XXXXX701]": 50174,
+  "[XXXXX702]": 50547,
+  "[XXXXX703]": 50498,
+  "[XXXXX704]": 51078,
+  "[XXXXX705]": 50133,
+  "[XXXXX706]": 50041,
+  "[XXXXX707]": 51181,
+  "[XXXXX708]": 50585,
+  "[XXXXX709]": 50776,
+  "[XXXXX70]": 50053,
+  "[XXXXX710]": 50336,
+  "[XXXXX711]": 50765,
+  "[XXXXX712]": 50224,
+  "[XXXXX713]": 50599,
+  "[XXXXX714]": 50207,
+  "[XXXXX715]": 51043,
+  "[XXXXX716]": 51090,
+  "[XXXXX717]": 50006,
+  "[XXXXX718]": 50901,
+  "[XXXXX719]": 51001,
+  "[XXXXX71]": 50954,
+  "[XXXXX720]": 50646,
+  "[XXXXX721]": 50075,
+  "[XXXXX722]": 51120,
+  "[XXXXX723]": 50215,
+  "[XXXXX724]": 50415,
+  "[XXXXX725]": 50154,
+  "[XXXXX726]": 50935,
+  "[XXXXX727]": 50545,
+  "[XXXXX728]": 51085,
+  "[XXXXX729]": 50256,
+  "[XXXXX72]": 50363,
+  "[XXXXX730]": 50700,
+  "[XXXXX731]": 50262,
+  "[XXXXX732]": 50930,
+  "[XXXXX733]": 50333,
+  "[XXXXX734]": 50884,
+  "[XXXXX735]": 51030,
+  "[XXXXX736]": 50231,
+  "[XXXXX737]": 50405,
+  "[XXXXX738]": 50962,
+  "[XXXXX739]": 50458,
+  "[XXXXX73]": 50019,
+  "[XXXXX740]": 50878,
+  "[XXXXX741]": 50910,
+  "[XXXXX742]": 50170,
+  "[XXXXX743]": 50718,
+  "[XXXXX744]": 50616,
+  "[XXXXX745]": 50358,
+  "[XXXXX746]": 50152,
+  "[XXXXX747]": 50525,
+  "[XXXXX748]": 51167,
+  "[XXXXX749]": 50653,
+  "[XXXXX74]": 50952,
+  "[XXXXX750]": 50500,
+  "[XXXXX751]": 50446,
+  "[XXXXX752]": 50995,
+  "[XXXXX753]": 50945,
+  "[XXXXX754]": 51173,
+  "[XXXXX755]": 50823,
+  "[XXXXX756]": 51060,
+  "[XXXXX757]": 50748,
+  "[XXXXX758]": 50020,
+  "[XXXXX759]": 50197,
+  "[XXXXX75]": 50502,
+  "[XXXXX760]": 50291,
+  "[XXXXX761]": 50821,
+  "[XXXXX762]": 50190,
+  "[XXXXX763]": 50745,
+  "[XXXXX764]": 50778,
+  "[XXXXX765]": 50556,
+  "[XXXXX766]": 51161,
+  "[XXXXX767]": 50466,
+  "[XXXXX768]": 50792,
+  "[XXXXX769]": 50208,
+  "[XXXXX76]": 50169,
+  "[XXXXX770]": 50647,
+  "[XXXXX771]": 50610,
+  "[XXXXX772]": 51140,
+  "[XXXXX773]": 50441,
+  "[XXXXX774]": 50870,
+  "[XXXXX775]": 50368,
+  "[XXXXX776]": 50026,
+  "[XXXXX777]": 50677,
+  "[XXXXX778]": 51168,
+  "[XXXXX779]": 50481,
+  "[XXXXX77]": 50515,
+  "[XXXXX780]": 50225,
+  "[XXXXX781]": 50408,
+  "[XXXXX782]": 50090,
+  "[XXXXX783]": 50951,
+  "[XXXXX784]": 50015,
+  "[XXXXX785]": 50658,
+  "[XXXXX786]": 50617,
+  "[XXXXX787]": 50721,
+  "[XXXXX788]": 51084,
+  "[XXXXX789]": 50830,
+  "[XXXXX78]": 50100,
+  "[XXXXX790]": 50606,
+  "[XXXXX791]": 50124,
+  "[XXXXX792]": 50078,
+  "[XXXXX793]": 51188,
+  "[XXXXX794]": 50750,
+  "[XXXXX795]": 50138,
+  "[XXXXX796]": 50239,
+  "[XXXXX797]": 50385,
+  "[XXXXX798]": 50780,
+  "[XXXXX799]": 50683,
+  "[XXXXX79]": 50436,
+  "[XXXXX7]": 50211,
+  "[XXXXX800]": 51185,
+  "[XXXXX801]": 50250,
+  "[XXXXX802]": 50456,
+  "[XXXXX803]": 50508,
+  "[XXXXX804]": 51194,
+  "[XXXXX805]": 50021,
+  "[XXXXX806]": 50307,
+  "[XXXXX807]": 50199,
+  "[XXXXX808]": 51129,
+  "[XXXXX809]": 50686,
+  "[XXXXX80]": 50370,
+  "[XXXXX810]": 50343,
+  "[XXXXX811]": 50614,
+  "[XXXXX812]": 50636,
+  "[XXXXX813]": 51198,
+  "[XXXXX814]": 50788,
+  "[XXXXX815]": 50120,
+  "[XXXXX816]": 50135,
+  "[XXXXX817]": 50293,
+  "[XXXXX818]": 50153,
+  "[XXXXX819]": 50516,
+  "[XXXXX81]": 50581,
+  "[XXXXX820]": 50586,
+  "[XXXXX821]": 50509,
+  "[XXXXX822]": 50220,
+  "[XXXXX823]": 51068,
+  "[XXXXX824]": 50946,
+  "[XXXXX825]": 50965,
+  "[XXXXX826]": 50032,
+  "[XXXXX827]": 50156,
+  "[XXXXX828]": 50449,
+  "[XXXXX829]": 50531,
+  "[XXXXX82]": 51164,
+  "[XXXXX830]": 50486,
+  "[XXXXX831]": 50357,
+  "[XXXXX832]": 51022,
+  "[XXXXX833]": 50633,
+  "[XXXXX834]": 50754,
+  "[XXXXX835]": 51134,
+  "[XXXXX836]": 50193,
+  "[XXXXX837]": 51088,
+  "[XXXXX838]": 50722,
+  "[XXXXX839]": 50756,
+  "[XXXXX83]": 50977,
+  "[XXXXX840]": 50022,
+  "[XXXXX841]": 51186,
+  "[XXXXX842]": 50575,
+  "[XXXXX843]": 50079,
+  "[XXXXX844]": 50644,
+  "[XXXXX845]": 51033,
+  "[XXXXX846]": 50454,
+  "[XXXXX847]": 50095,
+  "[XXXXX848]": 50902,
+  "[XXXXX849]": 50597,
+  "[XXXXX84]": 50167,
+  "[XXXXX850]": 51051,
+  "[XXXXX851]": 50696,
+  "[XXXXX852]": 50966,
+  "[XXXXX853]": 50034,
+  "[XXXXX854]": 50889,
+  "[XXXXX855]": 50843,
+  "[XXXXX856]": 50963,
+  "[XXXXX857]": 50227,
+  "[XXXXX858]": 51058,
+  "[XXXXX859]": 50850,
+  "[XXXXX85]": 50192,
+  "[XXXXX860]": 50228,
+  "[XXXXX861]": 50570,
+  "[XXXXX862]": 50488,
+  "[XXXXX863]": 50539,
+  "[XXXXX864]": 51182,
+  "[XXXXX865]": 50990,
+  "[XXXXX866]": 50542,
+  "[XXXXX867]": 51069,
+  "[XXXXX868]": 50480,
+  "[XXXXX869]": 50847,
+  "[XXXXX86]": 50874,
+  "[XXXXX870]": 50308,
+  "[XXXXX871]": 50510,
+  "[XXXXX872]": 50423,
+  "[XXXXX873]": 50086,
+  "[XXXXX874]": 50591,
+  "[XXXXX875]": 50728,
+  "[XXXXX876]": 50372,
+  "[XXXXX877]": 50903,
+  "[XXXXX878]": 50868,
+  "[XXXXX879]": 50763,
+  "[XXXXX87]": 50571,
+  "[XXXXX880]": 50096,
+  "[XXXXX881]": 51150,
+  "[XXXXX882]": 50460,
+  "[XXXXX883]": 51087,
+  "[XXXXX884]": 51093,
+  "[XXXXX885]": 50295,
+  "[XXXXX886]": 51037,
+  "[XXXXX887]": 51171,
+  "[XXXXX888]": 50794,
+  "[XXXXX889]": 50628,
+  "[XXXXX88]": 50520,
+  "[XXXXX890]": 51172,
+  "[XXXXX891]": 51046,
+  "[XXXXX892]": 50918,
+  "[XXXXX893]": 50998,
+  "[XXXXX894]": 50371,
+  "[XXXXX895]": 51155,
+  "[XXXXX896]": 50866,
+  "[XXXXX897]": 50229,
+  "[XXXXX898]": 51057,
+  "[XXXXX899]": 50867,
+  "[XXXXX89]": 50537,
+  "[XXXXX8]": 50784,
+  "[XXXXX900]": 50739,
+  "[XXXXX901]": 51080,
+  "[XXXXX902]": 50038,
+  "[XXXXX903]": 50321,
+  "[XXXXX904]": 50774,
+  "[XXXXX905]": 50974,
+  "[XXXXX906]": 50920,
+  "[XXXXX907]": 50469,
+  "[XXXXX908]": 51122,
+  "[XXXXX909]": 51092,
+  "[XXXXX90]": 50514,
+  "[XXXXX910]": 50798,
+  "[XXXXX911]": 50245,
+  "[XXXXX912]": 50367,
+  "[XXXXX913]": 50618,
+  "[XXXXX914]": 50072,
+  "[XXXXX915]": 50450,
+  "[XXXXX916]": 51189,
+  "[XXXXX917]": 50485,
+  "[XXXXX918]": 50283,
+  "[XXXXX919]": 50845,
+  "[XXXXX91]": 50968,
+  "[XXXXX920]": 50429,
+  "[XXXXX921]": 50364,
+  "[XXXXX922]": 50782,
+  "[XXXXX923]": 50534,
+  "[XXXXX924]": 50059,
+  "[XXXXX925]": 50102,
+  "[XXXXX926]": 50185,
+  "[XXXXX927]": 50634,
+  "[XXXXX928]": 50567,
+  "[XXXXX929]": 50895,
+  "[XXXXX92]": 50210,
+  "[XXXXX930]": 50561,
+  "[XXXXX931]": 51021,
+  "[XXXXX932]": 50107,
+  "[XXXXX933]": 50407,
+  "[XXXXX934]": 50654,
+  "[XXXXX935]": 50268,
+  "[XXXXX936]": 51153,
+  "[XXXXX937]": 50552,
+  "[XXXXX938]": 50526,
+  "[XXXXX939]": 50322,
+  "[XXXXX93]": 50912,
+  "[XXXXX940]": 50296,
+  "[XXXXX941]": 50572,
+  "[XXXXX942]": 50393,
+  "[XXXXX943]": 50312,
+  "[XXXXX944]": 50592,
+  "[XXXXX945]": 50982,
+  "[XXXXX946]": 50089,
+  "[XXXXX947]": 50331,
+  "[XXXXX948]": 50279,
+  "[XXXXX949]": 51005,
+  "[XXXXX94]": 50198,
+  "[XXXXX950]": 50114,
+  "[XXXXX951]": 50074,
+  "[XXXXX952]": 50248,
+  "[XXXXX953]": 50857,
+  "[XXXXX954]": 50841,
+  "[XXXXX955]": 51065,
+  "[XXXXX956]": 50234,
+  "[XXXXX957]": 50834,
+  "[XXXXX958]": 50535,
+  "[XXXXX959]": 51109,
+  "[XXXXX95]": 50651,
+  "[XXXXX960]": 50797,
+  "[XXXXX961]": 50914,
+  "[XXXXX962]": 50112,
+  "[XXXXX963]": 50073,
+  "[XXXXX964]": 50559,
+  "[XXXXX965]": 50933,
+  "[XXXXX966]": 50619,
+  "[XXXXX967]": 51187,
+  "[XXXXX968]": 50327,
+  "[XXXXX969]": 50698,
+  "[XXXXX96]": 50420,
+  "[XXXXX970]": 50060,
+  "[XXXXX971]": 50432,
+  "[XXXXX972]": 50620,
+  "[XXXXX973]": 50693,
+  "[XXXXX974]": 50938,
+  "[XXXXX975]": 50983,
+  "[XXXXX976]": 50334,
+  "[XXXXX977]": 50438,
+  "[XXXXX978]": 51154,
+  "[XXXXX979]": 50964,
+  "[XXXXX97]": 50672,
+  "[XXXXX980]": 50511,
+  "[XXXXX981]": 50244,
+  "[XXXXX982]": 50266,
+  "[XXXXX983]": 50134,
+  "[XXXXX984]": 50338,
+  "[XXXXX985]": 51121,
+  "[XXXXX986]": 50323,
+  "[XXXXX987]": 50909,
+  "[XXXXX988]": 51000,
+  "[XXXXX989]": 50036,
+  "[XXXXX98]": 50787,
+  "[XXXXX990]": 50512,
+  "[XXXXX991]": 50191,
+  "[XXXXX992]": 50187,
+  "[XXXXX993]": 51156,
+  "[XXXXX994]": 51135,
+  "[XXXXX995]": 50355,
+  "[XXXXX996]": 51027,
+  "[XXXXX997]": 50297,
+  "[XXXXX998]": 50928,
+  "[XXXXX999]": 50697,
+  "[XXXXX99]": 50980,
+  "[XXXXX9]": 50961
+}
diff --git a/checkpoint-3500/config.json b/checkpoint-3500/config.json
new file mode 100644
index 0000000..000c292
--- /dev/null
+++ b/checkpoint-3500/config.json
@@ -0,0 +1,34 @@
+{
+  "activation_function": "gelu",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50000,
+  "dtype": "bfloat16",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50001,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 512,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": 3072,
+  "n_layer": 12,
+  "n_positions": 512,
+  "pad_token_id": 50002,
+  "prefix": "[CLS]",
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "vocab_size": 51200
+}
diff --git a/checkpoint-3500/generation_config.json b/checkpoint-3500/generation_config.json
new file mode 100644
index 0000000..4c122f0
--- /dev/null
+++ b/checkpoint-3500/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50000,
+  "eos_token_id": [
+    50001
+  ],
+  "pad_token_id": 50002,
+  "transformers_version": "4.56.2"
+}
diff --git a/checkpoint-3500/model.safetensors b/checkpoint-3500/model.safetensors
new file mode 100644
index 0000000..b3dcab9
--- /dev/null
+++ b/checkpoint-3500/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:91a2db5f444f59830571d5b00c000e27126e4662e18527ebf1784753bd3923a6
+size 249556672
diff --git a/checkpoint-3500/rng_state.pth b/checkpoint-3500/rng_state.pth
new file mode 100644
index 0000000..9576878
--- /dev/null
+++ b/checkpoint-3500/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:415d3eba7ad313a386b67140e5d42f24a5c0ee11952078d402429aa8e4831691
+size 14645
diff --git a/checkpoint-3500/special_tokens_map.json b/checkpoint-3500/special_tokens_map.json
new file mode 100644
index 0000000..c78a835
--- /dev/null
+++ b/checkpoint-3500/special_tokens_map.json
@@ -0,0 +1,1249 @@
+{
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/checkpoint-3500/spiece.model b/checkpoint-3500/spiece.model
new file mode 100644
index 0000000..85d6e93
--- /dev/null
+++ b/checkpoint-3500/spiece.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:762a1e078899c6ba7ef62ef873a57b860c51cc0518791854659b58b4c89742fe
+size 1170764
diff --git a/checkpoint-3500/tokenizer_config.json b/checkpoint-3500/tokenizer_config.json
new file mode 100644
index 0000000..b27d01f
--- /dev/null
+++ b/checkpoint-3500/tokenizer_config.json
@@ -0,0 +1,10825 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50000": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50001": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50002": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50003": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50004": {
+      "content": "[XXXXX160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50005": {
+      "content": "[XXXXX240]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50006": {
+      "content": "[XXXXX717]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50007": {
+      "content": "[XXXXX23]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50008": {
+      "content": "[XXXXX161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50009": {
+      "content": "[XXXXX1156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50010": {
+      "content": "[XXXXX5]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50011": {
+      "content": "[XXXXX597]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50012": {
+      "content": "[XXXXX415]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50013": {
+      "content": "[XXXXX693]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50014": {
+      "content": "[XXXXX1083]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50015": {
+      "content": "[XXXXX784]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50016": {
+      "content": "[XXXXX686]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50017": {
+      "content": "[XXXXX379]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50018": {
+      "content": "[XXXXX335]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50019": {
+      "content": "[XXXXX73]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50020": {
+      "content": "[XXXXX758]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50021": {
+      "content": "[XXXXX805]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50022": {
+      "content": "[XXXXX840]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50023": {
+      "content": "[XXXXX1037]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50024": {
+      "content": "[XXXXX235]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50025": {
+      "content": "[XXXXX1107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50026": {
+      "content": "[XXXXX776]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50027": {
+      "content": "[XXXXX286]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50028": {
+      "content": "[XXXXX396]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50029": {
+      "content": "[XXXXX478]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50030": {
+      "content": "[XXXXX669]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50031": {
+      "content": "[XXXXX691]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50032": {
+      "content": "[XXXXX826]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50033": {
+      "content": "[XXXXX1150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50034": {
+      "content": "[XXXXX853]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50035": {
+      "content": "[XXXXX130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50036": {
+      "content": "[XXXXX989]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50037": {
+      "content": "[XXXXX249]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50038": {
+      "content": "[XXXXX902]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50039": {
+      "content": "[XXXXX1169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50040": {
+      "content": "[XXXXX260]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50041": {
+      "content": "[XXXXX706]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50042": {
+      "content": "[XXXXX146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50043": {
+      "content": "[XXXXX198]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50044": {
+      "content": "[XXXXX303]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50045": {
+      "content": "[XXXXX1192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50046": {
+      "content": "[XXXXX635]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50047": {
+      "content": "[XXXXX271]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50048": {
+      "content": "[XXXXX1023]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50049": {
+      "content": "[XXXXX602]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50050": {
+      "content": "[XXXXX291]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50051": {
+      "content": "[XXXXX190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50052": {
+      "content": "[XXXXX1055]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50053": {
+      "content": "[XXXXX70]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50054": {
+      "content": "[XXXXX178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50055": {
+      "content": "[XXXXX318]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50056": {
+      "content": "[XXXXX62]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50057": {
+      "content": "[XXXXX473]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50058": {
+      "content": "[XXXXX517]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50059": {
+      "content": "[XXXXX924]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50060": {
+      "content": "[XXXXX970]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50061": {
+      "content": "[XXXXX1033]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50062": {
+      "content": "[XXXXX110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50063": {
+      "content": "[XXXXX1151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50064": {
+      "content": "[XXXXX1189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50065": {
+      "content": "[XXXXX1095]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50066": {
+      "content": "[XXXXX148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50067": {
+      "content": "[XXXXX337]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50068": {
+      "content": "[XXXXX245]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50069": {
+      "content": "[XXXXX407]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50070": {
+      "content": "[XXXXX557]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50071": {
+      "content": "[XXXXX576]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50072": {
+      "content": "[XXXXX914]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50073": {
+      "content": "[XXXXX963]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50074": {
+      "content": "[XXXXX951]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50075": {
+      "content": "[XXXXX721]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50076": {
+      "content": "[XXXXX1174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50077": {
+      "content": "[XXXXX3]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50078": {
+      "content": "[XXXXX792]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50079": {
+      "content": "[XXXXX843]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50080": {
+      "content": "[XXXXX590]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50081": {
+      "content": "[XXXXX118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50082": {
+      "content": "[XXXXX280]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50083": {
+      "content": "[XXXXX1119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50084": {
+      "content": "[XXXXX1025]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50085": {
+      "content": "[XXXXX140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50086": {
+      "content": "[XXXXX873]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50087": {
+      "content": "[XXXXX103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50088": {
+      "content": "[XXXXX307]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50089": {
+      "content": "[XXXXX946]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50090": {
+      "content": "[XXXXX782]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50091": {
+      "content": "[XXXXX100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50092": {
+      "content": "[XXXXX485]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50093": {
+      "content": "[XXXXX151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50094": {
+      "content": "[XXXXX213]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50095": {
+      "content": "[XXXXX847]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50096": {
+      "content": "[XXXXX880]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50097": {
+      "content": "[XXXXX44]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50098": {
+      "content": "[XXXXX1031]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50099": {
+      "content": "[XXXXX545]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50100": {
+      "content": "[XXXXX78]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50101": {
+      "content": "[XXXXX687]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50102": {
+      "content": "[XXXXX925]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50103": {
+      "content": "[XXXXX519]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50104": {
+      "content": "[XXXXX1191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50105": {
+      "content": "[XXXXX13]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50106": {
+      "content": "[XXXXX487]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50107": {
+      "content": "[XXXXX932]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50108": {
+      "content": "[XXXXX119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50109": {
+      "content": "[XXXXX170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50110": {
+      "content": "[XXXXX254]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50111": {
+      "content": "[XXXXX420]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50112": {
+      "content": "[XXXXX962]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50113": {
+      "content": "[XXXXX441]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50114": {
+      "content": "[XXXXX950]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50115": {
+      "content": "[XXXXX18]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50116": {
+      "content": "[XXXXX676]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50117": {
+      "content": "[XXXXX1133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50118": {
+      "content": "[XXXXX618]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50119": {
+      "content": "[XXXXX374]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50120": {
+      "content": "[XXXXX815]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50121": {
+      "content": "[XXXXX1058]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50122": {
+      "content": "[XXXXX1108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50123": {
+      "content": "[XXXXX1144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50124": {
+      "content": "[XXXXX791]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50125": {
+      "content": "[XXXXX259]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50126": {
+      "content": "[XXXXX1074]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50127": {
+      "content": "[XXXXX696]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50128": {
+      "content": "[XXXXX1168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50129": {
+      "content": "[XXXXX592]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50130": {
+      "content": "[XXXXX127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50131": {
+      "content": "[XXXXX136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50132": {
+      "content": "[XXXXX237]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50133": {
+      "content": "[XXXXX705]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50134": {
+      "content": "[XXXXX983]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50135": {
+      "content": "[XXXXX816]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50136": {
+      "content": "[XXXXX412]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50137": {
+      "content": "[XXXXX410]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50138": {
+      "content": "[XXXXX795]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50139": {
+      "content": "[XXXXX101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50140": {
+      "content": "[XXXXX171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50141": {
+      "content": "[XXXXX628]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50142": {
+      "content": "[XXXXX1038]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50143": {
+      "content": "[XXXXX447]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50144": {
+      "content": "[XXXXX1043]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50145": {
+      "content": "[XXXXX147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50146": {
+      "content": "[XXXXX1112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50147": {
+      "content": "[XXXXX186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50148": {
+      "content": "[XXXXX461]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50149": {
+      "content": "[XXXXX423]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50150": {
+      "content": "[XXXXX26]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50151": {
+      "content": "[XXXXX227]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50152": {
+      "content": "[XXXXX746]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50153": {
+      "content": "[XXXXX818]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50154": {
+      "content": "[XXXXX725]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50155": {
+      "content": "[XXXXX400]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50156": {
+      "content": "[XXXXX827]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50157": {
+      "content": "[XXXXX1020]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50158": {
+      "content": "[XXXXX1060]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50159": {
+      "content": "[XXXXX195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50160": {
+      "content": "[XXXXX526]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50161": {
+      "content": "[XXXXX570]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50162": {
+      "content": "[XXXXX174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50163": {
+      "content": "[XXXXX333]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50164": {
+      "content": "[XXXXX466]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50165": {
+      "content": "[XXXXX513]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50166": {
+      "content": "[XXXXX695]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50167": {
+      "content": "[XXXXX84]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50168": {
+      "content": "[XXXXX1080]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50169": {
+      "content": "[XXXXX76]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50170": {
+      "content": "[XXXXX742]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50171": {
+      "content": "[XXXXX1008]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50172": {
+      "content": "[XXXXX1123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50173": {
+      "content": "[XXXXX1145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50174": {
+      "content": "[XXXXX701]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50175": {
+      "content": "[XXXXX562]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50176": {
+      "content": "[XXXXX615]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50177": {
+      "content": "[XXXXX389]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50178": {
+      "content": "[XXXXX267]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50179": {
+      "content": "[XXXXX323]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50180": {
+      "content": "[XXXXX346]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50181": {
+      "content": "[XXXXX287]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50182": {
+      "content": "[XXXXX469]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50183": {
+      "content": "[XXXXX58]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50184": {
+      "content": "[XXXXX431]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50185": {
+      "content": "[XXXXX926]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50186": {
+      "content": "[XXXXX1182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50187": {
+      "content": "[XXXXX992]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50188": {
+      "content": "[XXXXX185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50189": {
+      "content": "[XXXXX352]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50190": {
+      "content": "[XXXXX762]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50191": {
+      "content": "[XXXXX991]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50192": {
+      "content": "[XXXXX85]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50193": {
+      "content": "[XXXXX836]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50194": {
+      "content": "[XXXXX460]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50195": {
+      "content": "[XXXXX272]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50196": {
+      "content": "[XXXXX619]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50197": {
+      "content": "[XXXXX759]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50198": {
+      "content": "[XXXXX94]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50199": {
+      "content": "[XXXXX807]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50200": {
+      "content": "[XXXXX299]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50201": {
+      "content": "[XXXXX187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50202": {
+      "content": "[XXXXX486]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50203": {
+      "content": "[XXXXX45]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50204": {
+      "content": "[XXXXX1036]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50205": {
+      "content": "[XXXXX354]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50206": {
+      "content": "[XXXXX386]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50207": {
+      "content": "[XXXXX714]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50208": {
+      "content": "[XXXXX769]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50209": {
+      "content": "[XXXXX304]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50210": {
+      "content": "[XXXXX92]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50211": {
+      "content": "[XXXXX7]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50212": {
+      "content": "[XXXXX31]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50213": {
+      "content": "[XXXXX102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50214": {
+      "content": "[XXXXX163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50215": {
+      "content": "[XXXXX723]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50216": {
+      "content": "[XXXXX1042]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50217": {
+      "content": "[XXXXX452]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50218": {
+      "content": "[XXXXX622]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50219": {
+      "content": "[XXXXX1056]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50220": {
+      "content": "[XXXXX822]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50221": {
+      "content": "[XXXXX125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50222": {
+      "content": "[XXXXX617]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50223": {
+      "content": "[XXXXX34]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50224": {
+      "content": "[XXXXX712]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50225": {
+      "content": "[XXXXX780]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50226": {
+      "content": "[XXXXX547]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50227": {
+      "content": "[XXXXX857]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50228": {
+      "content": "[XXXXX860]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50229": {
+      "content": "[XXXXX897]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50230": {
+      "content": "[XXXXX663]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50231": {
+      "content": "[XXXXX736]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50232": {
+      "content": "[XXXXX202]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50233": {
+      "content": "[XXXXX1029]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50234": {
+      "content": "[XXXXX956]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50235": {
+      "content": "[XXXXX397]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50236": {
+      "content": "[XXXXX239]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50237": {
+      "content": "[XXXXX472]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50238": {
+      "content": "[XXXXX230]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50239": {
+      "content": "[XXXXX796]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50240": {
+      "content": "[XXXXX639]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50241": {
+      "content": "[XXXXX203]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50242": {
+      "content": "[XXXXX231]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50243": {
+      "content": "[XXXXX652]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50244": {
+      "content": "[XXXXX981]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50245": {
+      "content": "[XXXXX911]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50246": {
+      "content": "[XXXXX380]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50247": {
+      "content": "[XXXXX477]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50248": {
+      "content": "[XXXXX952]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50249": {
+      "content": "[XXXXX28]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50250": {
+      "content": "[XXXXX801]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50251": {
+      "content": "[XXXXX1134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50252": {
+      "content": "[XXXXX1176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50253": {
+      "content": "[XXXXX180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50254": {
+      "content": "[XXXXX598]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50255": {
+      "content": "[XXXXX365]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50256": {
+      "content": "[XXXXX729]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50257": {
+      "content": "[XXXXX214]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50258": {
+      "content": "[XXXXX1117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50259": {
+      "content": "[XXXXX278]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50260": {
+      "content": "[XXXXX522]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50261": {
+      "content": "[XXXXX683]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50262": {
+      "content": "[XXXXX731]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50263": {
+      "content": "[XXXXX312]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "[XXXXX1178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50265": {
+      "content": "[XXXXX666]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50266": {
+      "content": "[XXXXX982]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50267": {
+      "content": "[XXXXX414]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50268": {
+      "content": "[XXXXX935]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50269": {
+      "content": "[XXXXX1089]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50270": {
+      "content": "[XXXXX236]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50271": {
+      "content": "[XXXXX463]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50272": {
+      "content": "[XXXXX52]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50273": {
+      "content": "[XXXXX593]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50274": {
+      "content": "[XXXXX508]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50275": {
+      "content": "[XXXXX1125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50276": {
+      "content": "[XXXXX462]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50277": {
+      "content": "[XXXXX32]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50278": {
+      "content": "[XXXXX596]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50279": {
+      "content": "[XXXXX948]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50280": {
+      "content": "[XXXXX150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50281": {
+      "content": "[XXXXX322]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50282": {
+      "content": "[XXXXX390]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50283": {
+      "content": "[XXXXX918]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50284": {
+      "content": "[XXXXX157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50285": {
+      "content": "[XXXXX310]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50286": {
+      "content": "[XXXXX392]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50287": {
+      "content": "[XXXXX649]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50288": {
+      "content": "[XXXXX158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50289": {
+      "content": "[XXXXX430]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50290": {
+      "content": "[XXXXX384]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50291": {
+      "content": "[XXXXX760]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50292": {
+      "content": "[XXXXX700]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50293": {
+      "content": "[XXXXX817]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50294": {
+      "content": "[XXXXX115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50295": {
+      "content": "[XXXXX885]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50296": {
+      "content": "[XXXXX940]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50297": {
+      "content": "[XXXXX997]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50298": {
+      "content": "[XXXXX61]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50299": {
+      "content": "[XXXXX209]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50300": {
+      "content": "[XXXXX316]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50301": {
+      "content": "[XXXXX537]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50302": {
+      "content": "[XXXXX599]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50303": {
+      "content": "[XXXXX680]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50304": {
+      "content": "[XXXXX135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50305": {
+      "content": "[XXXXX39]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50306": {
+      "content": "[XXXXX685]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50307": {
+      "content": "[XXXXX806]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50308": {
+      "content": "[XXXXX870]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50309": {
+      "content": "[XXXXX1096]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50310": {
+      "content": "[XXXXX366]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50311": {
+      "content": "[XXXXX509]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50312": {
+      "content": "[XXXXX943]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50313": {
+      "content": "[XXXXX292]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50314": {
+      "content": "[XXXXX367]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50315": {
+      "content": "[XXXXX632]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50316": {
+      "content": "[XXXXX1136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50317": {
+      "content": "[XXXXX156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50318": {
+      "content": "[XXXXX1100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50319": {
+      "content": "[XXXXX432]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50320": {
+      "content": "[XXXXX514]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50321": {
+      "content": "[XXXXX903]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50322": {
+      "content": "[XXXXX939]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50323": {
+      "content": "[XXXXX986]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50324": {
+      "content": "[XXXXX506]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50325": {
+      "content": "[XXXXX10]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50326": {
+      "content": "[XXXXX573]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50327": {
+      "content": "[XXXXX968]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50328": {
+      "content": "[XXXXX1039]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50329": {
+      "content": "[XXXXX252]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50330": {
+      "content": "[XXXXX612]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50331": {
+      "content": "[XXXXX947]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50332": {
+      "content": "[XXXXX1162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50333": {
+      "content": "[XXXXX733]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50334": {
+      "content": "[XXXXX976]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50335": {
+      "content": "[XXXXX535]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50336": {
+      "content": "[XXXXX710]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50337": {
+      "content": "[XXXXX40]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50338": {
+      "content": "[XXXXX984]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50339": {
+      "content": "[XXXXX584]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50340": {
+      "content": "[XXXXX132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50341": {
+      "content": "[XXXXX1084]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50342": {
+      "content": "[XXXXX549]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50343": {
+      "content": "[XXXXX810]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50344": {
+      "content": "[XXXXX208]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50345": {
+      "content": "[XXXXX609]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50346": {
+      "content": "[XXXXX275]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50347": {
+      "content": "[XXXXX262]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50348": {
+      "content": "[XXXXX331]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50349": {
+      "content": "[XXXXX361]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50350": {
+      "content": "[XXXXX561]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50351": {
+      "content": "[XXXXX143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50352": {
+      "content": "[XXXXX1061]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50353": {
+      "content": "[XXXXX59]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50354": {
+      "content": "[XXXXX21]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50355": {
+      "content": "[XXXXX995]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50356": {
+      "content": "[XXXXX439]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50357": {
+      "content": "[XXXXX831]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50358": {
+      "content": "[XXXXX745]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50359": {
+      "content": "[XXXXX43]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50360": {
+      "content": "[XXXXX498]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50361": {
+      "content": "[XXXXX575]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50362": {
+      "content": "[XXXXX624]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50363": {
+      "content": "[XXXXX72]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50364": {
+      "content": "[XXXXX921]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50365": {
+      "content": "[XXXXX201]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50366": {
+      "content": "[XXXXX1171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50367": {
+      "content": "[XXXXX912]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50368": {
+      "content": "[XXXXX775]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50369": {
+      "content": "[XXXXX1094]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50370": {
+      "content": "[XXXXX80]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50371": {
+      "content": "[XXXXX894]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50372": {
+      "content": "[XXXXX876]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50373": {
+      "content": "[XXXXX1143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50374": {
+      "content": "[XXXXX355]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50375": {
+      "content": "[XXXXX450]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50376": {
+      "content": "[XXXXX642]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50377": {
+      "content": "[XXXXX162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50378": {
+      "content": "[XXXXX394]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50379": {
+      "content": "[XXXXX296]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50380": {
+      "content": "[XXXXX536]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50381": {
+      "content": "[XXXXX560]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50382": {
+      "content": "[XXXXX373]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50383": {
+      "content": "[XXXXX674]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50384": {
+      "content": "[XXXXX1099]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50385": {
+      "content": "[XXXXX797]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50386": {
+      "content": "[XXXXX516]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50387": {
+      "content": "[XXXXX41]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50388": {
+      "content": "[XXXXX594]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50389": {
+      "content": "[XXXXX319]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50390": {
+      "content": "[XXXXX165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50391": {
+      "content": "[XXXXX344]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50392": {
+      "content": "[XXXXX1012]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50393": {
+      "content": "[XXXXX942]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50394": {
+      "content": "[XXXXX1071]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50395": {
+      "content": "[XXXXX648]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50396": {
+      "content": "[XXXXX4]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50397": {
+      "content": "[XXXXX633]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50398": {
+      "content": "[XXXXX551]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50399": {
+      "content": "[XXXXX586]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50400": {
+      "content": "[XXXXX578]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50401": {
+      "content": "[XXXXX348]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50402": {
+      "content": "[XXXXX614]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50403": {
+      "content": "[XXXXX33]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50404": {
+      "content": "[XXXXX1193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50405": {
+      "content": "[XXXXX737]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50406": {
+      "content": "[XXXXX233]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50407": {
+      "content": "[XXXXX933]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50408": {
+      "content": "[XXXXX781]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50409": {
+      "content": "[XXXXX189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50410": {
+      "content": "[XXXXX1006]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50411": {
+      "content": "[XXXXX219]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50412": {
+      "content": "[XXXXX454]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50413": {
+      "content": "[XXXXX449]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50414": {
+      "content": "[XXXXX697]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50415": {
+      "content": "[XXXXX724]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50416": {
+      "content": "[XXXXX224]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50417": {
+      "content": "[XXXXX1157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50418": {
+      "content": "[XXXXX455]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50419": {
+      "content": "[XXXXX505]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50420": {
+      "content": "[XXXXX96]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50421": {
+      "content": "[XXXXX182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50422": {
+      "content": "[XXXXX424]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50423": {
+      "content": "[XXXXX872]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50424": {
+      "content": "[XXXXX1163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50425": {
+      "content": "[XXXXX1081]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50426": {
+      "content": "[XXXXX1173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50427": {
+      "content": "[XXXXX172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50428": {
+      "content": "[XXXXX507]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50429": {
+      "content": "[XXXXX920]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50430": {
+      "content": "[XXXXX1126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50431": {
+      "content": "[XXXXX474]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50432": {
+      "content": "[XXXXX971]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50433": {
+      "content": "[XXXXX1049]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50434": {
+      "content": "[XXXXX1114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50435": {
+      "content": "[XXXXX1040]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50436": {
+      "content": "[XXXXX79]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50437": {
+      "content": "[XXXXX36]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50438": {
+      "content": "[XXXXX977]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50439": {
+      "content": "[XXXXX1129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50440": {
+      "content": "[XXXXX1063]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50441": {
+      "content": "[XXXXX773]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50442": {
+      "content": "[XXXXX16]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50443": {
+      "content": "[XXXXX113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50444": {
+      "content": "[XXXXX320]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50445": {
+      "content": "[XXXXX167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50446": {
+      "content": "[XXXXX751]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50447": {
+      "content": "[XXXXX656]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50448": {
+      "content": "[XXXXX543]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50449": {
+      "content": "[XXXXX828]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50450": {
+      "content": "[XXXXX915]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50451": {
+      "content": "[XXXXX1098]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50452": {
+      "content": "[XXXXX569]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50453": {
+      "content": "[XXXXX1166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50454": {
+      "content": "[XXXXX846]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50455": {
+      "content": "[XXXXX324]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50456": {
+      "content": "[XXXXX802]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50457": {
+      "content": "[XXXXX588]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50458": {
+      "content": "[XXXXX739]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50459": {
+      "content": "[XXXXX50]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50460": {
+      "content": "[XXXXX882]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50461": {
+      "content": "[XXXXX1054]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50462": {
+      "content": "[XXXXX621]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50463": {
+      "content": "[XXXXX585]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50464": {
+      "content": "[XXXXX121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50465": {
+      "content": "[XXXXX647]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50466": {
+      "content": "[XXXXX767]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50467": {
+      "content": "[XXXXX645]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50468": {
+      "content": "[XXXXX27]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50469": {
+      "content": "[XXXXX907]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50470": {
+      "content": "[XXXXX1109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50471": {
+      "content": "[XXXXX1147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50472": {
+      "content": "[XXXXX501]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50473": {
+      "content": "[XXXXX1164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50474": {
+      "content": "[XXXXX650]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50475": {
+      "content": "[XXXXX329]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50476": {
+      "content": "[XXXXX659]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50477": {
+      "content": "[XXXXX1158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50478": {
+      "content": "[XXXXX104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50479": {
+      "content": "[XXXXX629]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50480": {
+      "content": "[XXXXX868]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50481": {
+      "content": "[XXXXX779]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50482": {
+      "content": "[XXXXX17]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50483": {
+      "content": "[XXXXX377]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50484": {
+      "content": "[XXXXX467]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50485": {
+      "content": "[XXXXX917]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50486": {
+      "content": "[XXXXX830]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50487": {
+      "content": "[XXXXX533]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50488": {
+      "content": "[XXXXX862]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50489": {
+      "content": "[XXXXX1041]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50490": {
+      "content": "[XXXXX542]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50491": {
+      "content": "[XXXXX595]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50492": {
+      "content": "[XXXXX353]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50493": {
+      "content": "[XXXXX181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50494": {
+      "content": "[XXXXX662]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50495": {
+      "content": "[XXXXX1195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50496": {
+      "content": "[XXXXX435]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50497": {
+      "content": "[XXXXX1051]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50498": {
+      "content": "[XXXXX703]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50499": {
+      "content": "[XXXXX1140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50500": {
+      "content": "[XXXXX750]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50501": {
+      "content": "[XXXXX57]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50502": {
+      "content": "[XXXXX75]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50503": {
+      "content": "[XXXXX293]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50504": {
+      "content": "[XXXXX681]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50505": {
+      "content": "[XXXXX46]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50506": {
+      "content": "[XXXXX30]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50507": {
+      "content": "[XXXXX402]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50508": {
+      "content": "[XXXXX803]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50509": {
+      "content": "[XXXXX821]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50510": {
+      "content": "[XXXXX871]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50511": {
+      "content": "[XXXXX980]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50512": {
+      "content": "[XXXXX990]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50513": {
+      "content": "[XXXXX626]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50514": {
+      "content": "[XXXXX90]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50515": {
+      "content": "[XXXXX77]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50516": {
+      "content": "[XXXXX819]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50517": {
+      "content": "[XXXXX436]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50518": {
+      "content": "[XXXXX306]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50519": {
+      "content": "[XXXXX434]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50520": {
+      "content": "[XXXXX88]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50521": {
+      "content": "[XXXXX184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50522": {
+      "content": "[XXXXX290]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50523": {
+      "content": "[XXXXX216]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50524": {
+      "content": "[XXXXX176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50525": {
+      "content": "[XXXXX747]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50526": {
+      "content": "[XXXXX938]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50527": {
+      "content": "[XXXXX442]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50528": {
+      "content": "[XXXXX301]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50529": {
+      "content": "[XXXXX1015]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50530": {
+      "content": "[XXXXX520]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50531": {
+      "content": "[XXXXX829]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50532": {
+      "content": "[XXXXX106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50533": {
+      "content": "[XXXXX1048]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50534": {
+      "content": "[XXXXX923]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50535": {
+      "content": "[XXXXX958]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50536": {
+      "content": "[XXXXX1130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50537": {
+      "content": "[XXXXX89]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50538": {
+      "content": "[XXXXX548]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50539": {
+      "content": "[XXXXX863]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50540": {
+      "content": "[XXXXX444]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50541": {
+      "content": "[XXXXX1149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50542": {
+      "content": "[XXXXX866]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50543": {
+      "content": "[XXXXX109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50544": {
+      "content": "[XXXXX550]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50545": {
+      "content": "[XXXXX727]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50546": {
+      "content": "[XXXXX646]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50547": {
+      "content": "[XXXXX702]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50548": {
+      "content": "[XXXXX204]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50549": {
+      "content": "[XXXXX1000]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50550": {
+      "content": "[XXXXX591]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50551": {
+      "content": "[XXXXX1128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50552": {
+      "content": "[XXXXX937]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50553": {
+      "content": "[XXXXX141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50554": {
+      "content": "[XXXXX273]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50555": {
+      "content": "[XXXXX1183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50556": {
+      "content": "[XXXXX765]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50557": {
+      "content": "[XXXXX371]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50558": {
+      "content": "[XXXXX256]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50559": {
+      "content": "[XXXXX964]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50560": {
+      "content": "[XXXXX1148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50561": {
+      "content": "[XXXXX930]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50562": {
+      "content": "[XXXXX212]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50563": {
+      "content": "[XXXXX133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50564": {
+      "content": "[XXXXX608]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50565": {
+      "content": "[XXXXX281]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50566": {
+      "content": "[XXXXX1045]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50567": {
+      "content": "[XXXXX928]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50568": {
+      "content": "[XXXXX1154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50569": {
+      "content": "[XXXXX334]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50570": {
+      "content": "[XXXXX861]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50571": {
+      "content": "[XXXXX87]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50572": {
+      "content": "[XXXXX941]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50573": {
+      "content": "[XXXXX359]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50574": {
+      "content": "[XXXXX55]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50575": {
+      "content": "[XXXXX842]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50576": {
+      "content": "[XXXXX427]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50577": {
+      "content": "[XXXXX491]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50578": {
+      "content": "[XXXXX137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50579": {
+      "content": "[XXXXX47]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50580": {
+      "content": "[XXXXX511]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50581": {
+      "content": "[XXXXX81]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50582": {
+      "content": "[XXXXX139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50583": {
+      "content": "[XXXXX226]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50584": {
+      "content": "[XXXXX563]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50585": {
+      "content": "[XXXXX708]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50586": {
+      "content": "[XXXXX820]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50587": {
+      "content": "[XXXXX65]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50588": {
+      "content": "[XXXXX381]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50589": {
+      "content": "[XXXXX22]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50590": {
+      "content": "[XXXXX1064]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50591": {
+      "content": "[XXXXX874]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50592": {
+      "content": "[XXXXX944]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50593": {
+      "content": "[XXXXX6]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50594": {
+      "content": "[XXXXX313]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50595": {
+      "content": "[XXXXX471]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50596": {
+      "content": "[XXXXX1118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50597": {
+      "content": "[XXXXX849]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50598": {
+      "content": "[XXXXX483]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50599": {
+      "content": "[XXXXX713]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50600": {
+      "content": "[XXXXX222]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50601": {
+      "content": "[XXXXX640]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50602": {
+      "content": "[XXXXX12]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50603": {
+      "content": "[XXXXX285]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50604": {
+      "content": "[XXXXX327]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50605": {
+      "content": "[XXXXX378]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50606": {
+      "content": "[XXXXX790]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50607": {
+      "content": "[XXXXX1179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50608": {
+      "content": "[XXXXX15]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50609": {
+      "content": "[XXXXX229]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50610": {
+      "content": "[XXXXX771]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50611": {
+      "content": "[XXXXX559]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50612": {
+      "content": "[XXXXX253]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50613": {
+      "content": "[XXXXX644]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50614": {
+      "content": "[XXXXX811]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50615": {
+      "content": "[XXXXX554]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50616": {
+      "content": "[XXXXX744]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50617": {
+      "content": "[XXXXX786]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50618": {
+      "content": "[XXXXX913]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50619": {
+      "content": "[XXXXX966]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50620": {
+      "content": "[XXXXX972]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50621": {
+      "content": "[XXXXX664]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50622": {
+      "content": "[XXXXX1131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50623": {
+      "content": "[XXXXX1132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50624": {
+      "content": "[XXXXX376]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50625": {
+      "content": "[XXXXX672]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50626": {
+      "content": "[XXXXX1013]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50627": {
+      "content": "[XXXXX328]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50628": {
+      "content": "[XXXXX889]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50629": {
+      "content": "[XXXXX1141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50630": {
+      "content": "[XXXXX429]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50631": {
+      "content": "[XXXXX114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50632": {
+      "content": "[XXXXX523]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50633": {
+      "content": "[XXXXX833]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50634": {
+      "content": "[XXXXX927]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50635": {
+      "content": "[XXXXX297]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50636": {
+      "content": "[XXXXX812]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50637": {
+      "content": "[XXXXX1062]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50638": {
+      "content": "[XXXXX152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50639": {
+      "content": "[XXXXX1010]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50640": {
+      "content": "[XXXXX690]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50641": {
+      "content": "[XXXXX363]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50642": {
+      "content": "[XXXXX1103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50643": {
+      "content": "[XXXXX194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50644": {
+      "content": "[XXXXX844]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50645": {
+      "content": "[XXXXX667]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50646": {
+      "content": "[XXXXX720]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50647": {
+      "content": "[XXXXX770]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50648": {
+      "content": "[XXXXX515]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50649": {
+      "content": "[XXXXX196]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50650": {
+      "content": "[XXXXX283]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50651": {
+      "content": "[XXXXX95]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50652": {
+      "content": "[XXXXX528]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50653": {
+      "content": "[XXXXX749]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50654": {
+      "content": "[XXXXX934]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50655": {
+      "content": "[XXXXX1052]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50656": {
+      "content": "[XXXXX1188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50657": {
+      "content": "[XXXXX1001]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50658": {
+      "content": "[XXXXX785]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50659": {
+      "content": "[XXXXX393]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50660": {
+      "content": "[XXXXX502]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50661": {
+      "content": "[XXXXX404]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50662": {
+      "content": "[XXXXX129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50663": {
+      "content": "[XXXXX643]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50664": {
+      "content": "[XXXXX1086]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50665": {
+      "content": "[XXXXX1104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50666": {
+      "content": "[XXXXX326]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50667": {
+      "content": "[XXXXX330]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50668": {
+      "content": "[XXXXX620]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50669": {
+      "content": "[XXXXX193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50670": {
+      "content": "[XXXXX470]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50671": {
+      "content": "[XXXXX279]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50672": {
+      "content": "[XXXXX97]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50673": {
+      "content": "[XXXXX177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50674": {
+      "content": "[XXXXX510]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50675": {
+      "content": "[XXXXX225]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50676": {
+      "content": "[XXXXX572]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50677": {
+      "content": "[XXXXX777]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50678": {
+      "content": "[XXXXX1135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50679": {
+      "content": "[XXXXX1160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50680": {
+      "content": "[XXXXX558]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50681": {
+      "content": "[XXXXX416]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50682": {
+      "content": "[XXXXX246]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50683": {
+      "content": "[XXXXX799]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50684": {
+      "content": "[XXXXX153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50685": {
+      "content": "[XXXXX671]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50686": {
+      "content": "[XXXXX809]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50687": {
+      "content": "[XXXXX525]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50688": {
+      "content": "[XXXXX1004]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50689": {
+      "content": "[XXXXX1005]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50690": {
+      "content": "[XXXXX1194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50691": {
+      "content": "[XXXXX408]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50692": {
+      "content": "[XXXXX492]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50693": {
+      "content": "[XXXXX973]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50694": {
+      "content": "[XXXXX242]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50695": {
+      "content": "[XXXXX357]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50696": {
+      "content": "[XXXXX851]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50697": {
+      "content": "[XXXXX999]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50698": {
+      "content": "[XXXXX969]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50699": {
+      "content": "[XXXXX453]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50700": {
+      "content": "[XXXXX730]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50701": {
+      "content": "[XXXXX54]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50702": {
+      "content": "[XXXXX480]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50703": {
+      "content": "[XXXXX564]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50704": {
+      "content": "[XXXXX600]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50705": {
+      "content": "[XXXXX654]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50706": {
+      "content": "[XXXXX37]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50707": {
+      "content": "[XXXXX605]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50708": {
+      "content": "[XXXXX164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50709": {
+      "content": "[XXXXX395]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50710": {
+      "content": "[XXXXX401]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50711": {
+      "content": "[XXXXX446]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50712": {
+      "content": "[XXXXX658]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50713": {
+      "content": "[XXXXX60]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50714": {
+      "content": "[XXXXX107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50715": {
+      "content": "[XXXXX131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50716": {
+      "content": "[XXXXX387]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50717": {
+      "content": "[XXXXX67]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50718": {
+      "content": "[XXXXX743]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50719": {
+      "content": "[XXXXX657]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50720": {
+      "content": "[XXXXX418]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50721": {
+      "content": "[XXXXX787]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50722": {
+      "content": "[XXXXX838]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50723": {
+      "content": "[XXXXX298]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50724": {
+      "content": "[XXXXX1007]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50725": {
+      "content": "[XXXXX1027]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50726": {
+      "content": "[XXXXX1078]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50727": {
+      "content": "[XXXXX651]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50728": {
+      "content": "[XXXXX875]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50729": {
+      "content": "[XXXXX258]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50730": {
+      "content": "[XXXXX413]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50731": {
+      "content": "[XXXXX1092]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50732": {
+      "content": "[XXXXX124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50733": {
+      "content": "[XXXXX308]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50734": {
+      "content": "[XXXXX1085]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50735": {
+      "content": "[XXXXX1170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50736": {
+      "content": "[XXXXX38]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50737": {
+      "content": "[XXXXX438]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50738": {
+      "content": "[XXXXX475]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50739": {
+      "content": "[XXXXX900]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50740": {
+      "content": "[XXXXX263]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50741": {
+      "content": "[XXXXX166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50742": {
+      "content": "[XXXXX698]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50743": {
+      "content": "[XXXXX1127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50744": {
+      "content": "[XXXXX1181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50745": {
+      "content": "[XXXXX763]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50746": {
+      "content": "[XXXXX627]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50747": {
+      "content": "[XXXXX250]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50748": {
+      "content": "[XXXXX757]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50749": {
+      "content": "[XXXXX142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50750": {
+      "content": "[XXXXX794]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50751": {
+      "content": "[XXXXX128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50752": {
+      "content": "[XXXXX35]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50753": {
+      "content": "[XXXXX482]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50754": {
+      "content": "[XXXXX834]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50755": {
+      "content": "[XXXXX679]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50756": {
+      "content": "[XXXXX839]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50757": {
+      "content": "[XXXXX138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50758": {
+      "content": "[XXXXX1066]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50759": {
+      "content": "[XXXXX116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50760": {
+      "content": "[XXXXX317]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50761": {
+      "content": "[XXXXX490]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50762": {
+      "content": "[XXXXX443]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50763": {
+      "content": "[XXXXX879]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50764": {
+      "content": "[XXXXX1101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50765": {
+      "content": "[XXXXX711]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50766": {
+      "content": "[XXXXX123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50767": {
+      "content": "[XXXXX1152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50768": {
+      "content": "[XXXXX692]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50769": {
+      "content": "[XXXXX555]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50770": {
+      "content": "[XXXXX266]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50771": {
+      "content": "[XXXXX0]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50772": {
+      "content": "[XXXXX332]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50773": {
+      "content": "[XXXXX497]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50774": {
+      "content": "[XXXXX904]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50775": {
+      "content": "[XXXXX1019]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50776": {
+      "content": "[XXXXX709]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50777": {
+      "content": "[XXXXX351]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50778": {
+      "content": "[XXXXX764]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50779": {
+      "content": "[XXXXX625]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50780": {
+      "content": "[XXXXX798]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50781": {
+      "content": "[XXXXX205]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50782": {
+      "content": "[XXXXX922]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50783": {
+      "content": "[XXXXX1075]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50784": {
+      "content": "[XXXXX8]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50785": {
+      "content": "[XXXXX422]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50786": {
+      "content": "[XXXXX638]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50787": {
+      "content": "[XXXXX98]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50788": {
+      "content": "[XXXXX814]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50789": {
+      "content": "[XXXXX1057]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50790": {
+      "content": "[XXXXX1070]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50791": {
+      "content": "[XXXXX411]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50792": {
+      "content": "[XXXXX768]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50793": {
+      "content": "[XXXXX1165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50794": {
+      "content": "[XXXXX888]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50795": {
+      "content": "[XXXXX636]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50796": {
+      "content": "[XXXXX1047]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50797": {
+      "content": "[XXXXX960]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50798": {
+      "content": "[XXXXX910]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50799": {
+      "content": "[XXXXX42]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50800": {
+      "content": "[XXXXX238]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50801": {
+      "content": "[XXXXX383]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50802": {
+      "content": "[XXXXX1032]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50803": {
+      "content": "[XXXXX577]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50804": {
+      "content": "[XXXXX268]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50805": {
+      "content": "[XXXXX179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50806": {
+      "content": "[XXXXX1076]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50807": {
+      "content": "[XXXXX1167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50808": {
+      "content": "[XXXXX1172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50809": {
+      "content": "[XXXXX665]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50810": {
+      "content": "[XXXXX126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50811": {
+      "content": "[XXXXX347]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50812": {
+      "content": "[XXXXX544]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50813": {
+      "content": "[XXXXX1026]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50814": {
+      "content": "[XXXXX159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50815": {
+      "content": "[XXXXX503]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50816": {
+      "content": "[XXXXX583]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50817": {
+      "content": "[XXXXX668]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50818": {
+      "content": "[XXXXX1115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50819": {
+      "content": "[XXXXX112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50820": {
+      "content": "[XXXXX154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50821": {
+      "content": "[XXXXX761]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50822": {
+      "content": "[XXXXX540]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50823": {
+      "content": "[XXXXX755]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50824": {
+      "content": "[XXXXX255]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50825": {
+      "content": "[XXXXX459]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50826": {
+      "content": "[XXXXX1090]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50827": {
+      "content": "[XXXXX689]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50828": {
+      "content": "[XXXXX589]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50829": {
+      "content": "[XXXXX122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50830": {
+      "content": "[XXXXX789]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50831": {
+      "content": "[XXXXX481]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50832": {
+      "content": "[XXXXX1044]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50833": {
+      "content": "[XXXXX274]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50834": {
+      "content": "[XXXXX957]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50835": {
+      "content": "[XXXXX1121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50836": {
+      "content": "[XXXXX464]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50837": {
+      "content": "[XXXXX495]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50838": {
+      "content": "[XXXXX1097]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50839": {
+      "content": "[XXXXX581]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50840": {
+      "content": "[XXXXX200]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50841": {
+      "content": "[XXXXX954]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50842": {
+      "content": "[XXXXX48]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50843": {
+      "content": "[XXXXX855]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50844": {
+      "content": "[XXXXX419]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50845": {
+      "content": "[XXXXX919]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50846": {
+      "content": "[XXXXX451]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50847": {
+      "content": "[XXXXX869]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50848": {
+      "content": "[XXXXX1082]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50849": {
+      "content": "[XXXXX1185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50850": {
+      "content": "[XXXXX859]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50851": {
+      "content": "[XXXXX1139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50852": {
+      "content": "[XXXXX1072]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50853": {
+      "content": "[XXXXX220]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50854": {
+      "content": "[XXXXX465]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50855": {
+      "content": "[XXXXX1105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50856": {
+      "content": "[XXXXX1093]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50857": {
+      "content": "[XXXXX953]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50858": {
+      "content": "[XXXXX1187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50859": {
+      "content": "[XXXXX311]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50860": {
+      "content": "[XXXXX403]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50861": {
+      "content": "[XXXXX684]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50862": {
+      "content": "[XXXXX426]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50863": {
+      "content": "[XXXXX68]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50864": {
+      "content": "[XXXXX277]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50865": {
+      "content": "[XXXXX437]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50866": {
+      "content": "[XXXXX896]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50867": {
+      "content": "[XXXXX899]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50868": {
+      "content": "[XXXXX878]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50869": {
+      "content": "[XXXXX1073]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50870": {
+      "content": "[XXXXX774]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50871": {
+      "content": "[XXXXX315]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50872": {
+      "content": "[XXXXX631]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50873": {
+      "content": "[XXXXX223]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50874": {
+      "content": "[XXXXX86]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50875": {
+      "content": "[XXXXX607]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50876": {
+      "content": "[XXXXX149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50877": {
+      "content": "[XXXXX566]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50878": {
+      "content": "[XXXXX740]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50879": {
+      "content": "[XXXXX265]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50880": {
+      "content": "[XXXXX399]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50881": {
+      "content": "[XXXXX1053]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50882": {
+      "content": "[XXXXX1077]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50883": {
+      "content": "[XXXXX336]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50884": {
+      "content": "[XXXXX734]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50885": {
+      "content": "[XXXXX289]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50886": {
+      "content": "[XXXXX221]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50887": {
+      "content": "[XXXXX580]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50888": {
+      "content": "[XXXXX406]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50889": {
+      "content": "[XXXXX854]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50890": {
+      "content": "[XXXXX673]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50891": {
+      "content": "[XXXXX1146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50892": {
+      "content": "[XXXXX29]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50893": {
+      "content": "[XXXXX496]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50894": {
+      "content": "[XXXXX241]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50895": {
+      "content": "[XXXXX929]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50896": {
+      "content": "[XXXXX169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50897": {
+      "content": "[XXXXX1153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50898": {
+      "content": "[XXXXX440]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50899": {
+      "content": "[XXXXX385]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50900": {
+      "content": "[XXXXX499]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50901": {
+      "content": "[XXXXX718]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50902": {
+      "content": "[XXXXX848]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50903": {
+      "content": "[XXXXX877]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50904": {
+      "content": "[XXXXX641]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50905": {
+      "content": "[XXXXX1137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50906": {
+      "content": "[XXXXX269]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50907": {
+      "content": "[XXXXX521]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50908": {
+      "content": "[XXXXX234]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50909": {
+      "content": "[XXXXX987]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50910": {
+      "content": "[XXXXX741]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50911": {
+      "content": "[XXXXX349]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50912": {
+      "content": "[XXXXX93]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50913": {
+      "content": "[XXXXX247]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50914": {
+      "content": "[XXXXX961]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50915": {
+      "content": "[XXXXX1120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50916": {
+      "content": "[XXXXX369]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50917": {
+      "content": "[XXXXX479]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50918": {
+      "content": "[XXXXX892]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50919": {
+      "content": "[XXXXX553]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50920": {
+      "content": "[XXXXX906]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50921": {
+      "content": "[XXXXX571]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50922": {
+      "content": "[XXXXX1046]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50923": {
+      "content": "[XXXXX206]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50924": {
+      "content": "[XXXXX488]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50925": {
+      "content": "[XXXXX445]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50926": {
+      "content": "[XXXXX524]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50927": {
+      "content": "[XXXXX228]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50928": {
+      "content": "[XXXXX998]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50929": {
+      "content": "[XXXXX675]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50930": {
+      "content": "[XXXXX732]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50931": {
+      "content": "[XXXXX1028]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50932": {
+      "content": "[XXXXX494]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50933": {
+      "content": "[XXXXX965]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50934": {
+      "content": "[XXXXX1021]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50935": {
+      "content": "[XXXXX726]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50936": {
+      "content": "[XXXXX168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50937": {
+      "content": "[XXXXX606]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50938": {
+      "content": "[XXXXX974]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50939": {
+      "content": "[XXXXX504]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50940": {
+      "content": "[XXXXX556]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50941": {
+      "content": "[XXXXX1159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50942": {
+      "content": "[XXXXX417]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50943": {
+      "content": "[XXXXX1175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50944": {
+      "content": "[XXXXX1142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50945": {
+      "content": "[XXXXX753]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50946": {
+      "content": "[XXXXX824]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50947": {
+      "content": "[XXXXX251]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50948": {
+      "content": "[XXXXX345]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50949": {
+      "content": "[XXXXX610]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50950": {
+      "content": "[XXXXX276]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50951": {
+      "content": "[XXXXX783]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50952": {
+      "content": "[XXXXX74]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50953": {
+      "content": "[XXXXX1050]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50954": {
+      "content": "[XXXXX71]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50955": {
+      "content": "[XXXXX360]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50956": {
+      "content": "[XXXXX512]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50957": {
+      "content": "[XXXXX341]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50958": {
+      "content": "[XXXXX375]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50959": {
+      "content": "[XXXXX637]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50960": {
+      "content": "[XXXXX1116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50961": {
+      "content": "[XXXXX9]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50962": {
+      "content": "[XXXXX738]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50963": {
+      "content": "[XXXXX856]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50964": {
+      "content": "[XXXXX979]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50965": {
+      "content": "[XXXXX825]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50966": {
+      "content": "[XXXXX852]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50967": {
+      "content": "[XXXXX215]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50968": {
+      "content": "[XXXXX91]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50969": {
+      "content": "[XXXXX257]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50970": {
+      "content": "[XXXXX325]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50971": {
+      "content": "[XXXXX368]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50972": {
+      "content": "[XXXXX1124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50973": {
+      "content": "[XXXXX188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50974": {
+      "content": "[XXXXX905]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50975": {
+      "content": "[XXXXX284]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50976": {
+      "content": "[XXXXX11]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50977": {
+      "content": "[XXXXX83]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50978": {
+      "content": "[XXXXX611]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50979": {
+      "content": "[XXXXX51]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50980": {
+      "content": "[XXXXX99]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50981": {
+      "content": "[XXXXX288]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50982": {
+      "content": "[XXXXX945]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50983": {
+      "content": "[XXXXX975]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50984": {
+      "content": "[XXXXX282]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50985": {
+      "content": "[XXXXX1068]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50986": {
+      "content": "[XXXXX1180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50987": {
+      "content": "[XXXXX574]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50988": {
+      "content": "[XXXXX305]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50989": {
+      "content": "[XXXXX565]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50990": {
+      "content": "[XXXXX865]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50991": {
+      "content": "[XXXXX1014]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50992": {
+      "content": "[XXXXX1138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50993": {
+      "content": "[XXXXX134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50994": {
+      "content": "[XXXXX321]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50995": {
+      "content": "[XXXXX752]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50996": {
+      "content": "[XXXXX108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50997": {
+      "content": "[XXXXX339]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50998": {
+      "content": "[XXXXX893]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50999": {
+      "content": "[XXXXX1177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51000": {
+      "content": "[XXXXX988]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51001": {
+      "content": "[XXXXX719]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51002": {
+      "content": "[XXXXX1059]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51003": {
+      "content": "[XXXXX421]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51004": {
+      "content": "[XXXXX670]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51005": {
+      "content": "[XXXXX949]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51006": {
+      "content": "[XXXXX14]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51007": {
+      "content": "[XXXXX1087]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51008": {
+      "content": "[XXXXX382]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51009": {
+      "content": "[XXXXX531]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51010": {
+      "content": "[XXXXX1079]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51011": {
+      "content": "[XXXXX1067]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51012": {
+      "content": "[XXXXX655]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51013": {
+      "content": "[XXXXX340]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51014": {
+      "content": "[XXXXX398]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51015": {
+      "content": "[XXXXX175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51016": {
+      "content": "[XXXXX232]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51017": {
+      "content": "[XXXXX244]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51018": {
+      "content": "[XXXXX568]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51019": {
+      "content": "[XXXXX1110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51020": {
+      "content": "[XXXXX191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51021": {
+      "content": "[XXXXX931]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51022": {
+      "content": "[XXXXX832]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51023": {
+      "content": "[XXXXX1030]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51024": {
+      "content": "[XXXXX144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51025": {
+      "content": "[XXXXX1102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51026": {
+      "content": "[XXXXX300]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51027": {
+      "content": "[XXXXX996]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51028": {
+      "content": "[XXXXX248]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51029": {
+      "content": "[XXXXX66]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51030": {
+      "content": "[XXXXX735]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51031": {
+      "content": "[XXXXX20]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51032": {
+      "content": "[XXXXX694]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51033": {
+      "content": "[XXXXX845]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51034": {
+      "content": "[XXXXX500]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51035": {
+      "content": "[XXXXX613]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51036": {
+      "content": "[XXXXX117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51037": {
+      "content": "[XXXXX886]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51038": {
+      "content": "[XXXXX261]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51039": {
+      "content": "[XXXXX567]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51040": {
+      "content": "[XXXXX541]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51041": {
+      "content": "[XXXXX529]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51042": {
+      "content": "[XXXXX699]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51043": {
+      "content": "[XXXXX715]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51044": {
+      "content": "[XXXXX1003]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51045": {
+      "content": "[XXXXX518]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51046": {
+      "content": "[XXXXX891]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51047": {
+      "content": "[XXXXX192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51048": {
+      "content": "[XXXXX53]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51049": {
+      "content": "[XXXXX428]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51050": {
+      "content": "[XXXXX183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51051": {
+      "content": "[XXXXX850]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51052": {
+      "content": "[XXXXX539]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51053": {
+      "content": "[XXXXX527]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51054": {
+      "content": "[XXXXX660]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51055": {
+      "content": "[XXXXX409]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51056": {
+      "content": "[XXXXX1122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51057": {
+      "content": "[XXXXX898]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51058": {
+      "content": "[XXXXX858]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51059": {
+      "content": "[XXXXX534]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51060": {
+      "content": "[XXXXX756]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51061": {
+      "content": "[XXXXX63]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51062": {
+      "content": "[XXXXX49]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51063": {
+      "content": "[XXXXX1106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51064": {
+      "content": "[XXXXX111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51065": {
+      "content": "[XXXXX955]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51066": {
+      "content": "[XXXXX309]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51067": {
+      "content": "[XXXXX538]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51068": {
+      "content": "[XXXXX823]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51069": {
+      "content": "[XXXXX867]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51070": {
+      "content": "[XXXXX587]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51071": {
+      "content": "[XXXXX243]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51072": {
+      "content": "[XXXXX677]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51073": {
+      "content": "[XXXXX1017]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51074": {
+      "content": "[XXXXX173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51075": {
+      "content": "[XXXXX682]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51076": {
+      "content": "[XXXXX1184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51077": {
+      "content": "[XXXXX1009]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51078": {
+      "content": "[XXXXX704]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51079": {
+      "content": "[XXXXX532]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51080": {
+      "content": "[XXXXX901]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51081": {
+      "content": "[XXXXX120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51082": {
+      "content": "[XXXXX388]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51083": {
+      "content": "[XXXXX405]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51084": {
+      "content": "[XXXXX788]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51085": {
+      "content": "[XXXXX728]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51086": {
+      "content": "[XXXXX425]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51087": {
+      "content": "[XXXXX883]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51088": {
+      "content": "[XXXXX837]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51089": {
+      "content": "[XXXXX350]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51090": {
+      "content": "[XXXXX716]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51091": {
+      "content": "[XXXXX579]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51092": {
+      "content": "[XXXXX909]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51093": {
+      "content": "[XXXXX884]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51094": {
+      "content": "[XXXXX1011]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51095": {
+      "content": "[XXXXX372]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51096": {
+      "content": "[XXXXX370]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51097": {
+      "content": "[XXXXX468]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51098": {
+      "content": "[XXXXX688]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51099": {
+      "content": "[XXXXX56]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51100": {
+      "content": "[XXXXX653]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51101": {
+      "content": "[XXXXX623]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51102": {
+      "content": "[XXXXX552]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51103": {
+      "content": "[XXXXX314]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51104": {
+      "content": "[XXXXX1018]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51105": {
+      "content": "[XXXXX1091]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51106": {
+      "content": "[XXXXX342]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51107": {
+      "content": "[XXXXX1065]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51108": {
+      "content": "[XXXXX1161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51109": {
+      "content": "[XXXXX959]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51110": {
+      "content": "[XXXXX1035]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51111": {
+      "content": "[XXXXX530]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51112": {
+      "content": "[XXXXX69]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51113": {
+      "content": "[XXXXX489]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51114": {
+      "content": "[XXXXX1]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51115": {
+      "content": "[XXXXX207]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51116": {
+      "content": "[XXXXX433]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51117": {
+      "content": "[XXXXX358]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51118": {
+      "content": "[XXXXX601]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51119": {
+      "content": "[XXXXX2]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51120": {
+      "content": "[XXXXX722]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51121": {
+      "content": "[XXXXX985]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51122": {
+      "content": "[XXXXX908]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51123": {
+      "content": "[XXXXX1024]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51124": {
+      "content": "[XXXXX1111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51125": {
+      "content": "[XXXXX1113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51126": {
+      "content": "[XXXXX678]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51127": {
+      "content": "[XXXXX19]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51128": {
+      "content": "[XXXXX1186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51129": {
+      "content": "[XXXXX808]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51130": {
+      "content": "[XXXXX493]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51131": {
+      "content": "[XXXXX1155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51132": {
+      "content": "[XXXXX217]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51133": {
+      "content": "[XXXXX616]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51134": {
+      "content": "[XXXXX835]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51135": {
+      "content": "[XXXXX994]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51136": {
+      "content": "[XXXXX484]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51137": {
+      "content": "[XXXXX362]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51138": {
+      "content": "[XXXXX582]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51139": {
+      "content": "[XXXXX1034]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51140": {
+      "content": "[XXXXX772]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51141": {
+      "content": "[XXXXX457]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51142": {
+      "content": "[XXXXX604]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51143": {
+      "content": "[XXXXX456]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51144": {
+      "content": "[XXXXX145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51145": {
+      "content": "[XXXXX476]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51146": {
+      "content": "[XXXXX218]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51147": {
+      "content": "[XXXXX199]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51148": {
+      "content": "[XXXXX364]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51149": {
+      "content": "[XXXXX302]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51150": {
+      "content": "[XXXXX881]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51151": {
+      "content": "[XXXXX1088]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51152": {
+      "content": "[XXXXX356]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51153": {
+      "content": "[XXXXX936]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51154": {
+      "content": "[XXXXX978]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51155": {
+      "content": "[XXXXX895]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51156": {
+      "content": "[XXXXX993]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51157": {
+      "content": "[XXXXX458]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51158": {
+      "content": "[XXXXX1002]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51159": {
+      "content": "[XXXXX1022]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51160": {
+      "content": "[XXXXX25]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51161": {
+      "content": "[XXXXX766]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51162": {
+      "content": "[XXXXX64]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51163": {
+      "content": "[XXXXX211]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51164": {
+      "content": "[XXXXX82]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51165": {
+      "content": "[XXXXX634]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51166": {
+      "content": "[XXXXX661]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51167": {
+      "content": "[XXXXX748]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51168": {
+      "content": "[XXXXX778]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51169": {
+      "content": "[XXXXX24]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51170": {
+      "content": "[XXXXX448]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51171": {
+      "content": "[XXXXX887]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51172": {
+      "content": "[XXXXX890]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51173": {
+      "content": "[XXXXX754]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51174": {
+      "content": "[XXXXX343]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51175": {
+      "content": "[XXXXX1069]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51176": {
+      "content": "[XXXXX294]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51177": {
+      "content": "[XXXXX295]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51178": {
+      "content": "[XXXXX197]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51179": {
+      "content": "[XXXXX210]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51180": {
+      "content": "[XXXXX630]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51181": {
+      "content": "[XXXXX707]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51182": {
+      "content": "[XXXXX864]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51183": {
+      "content": "[XXXXX391]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51184": {
+      "content": "[XXXXX338]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51185": {
+      "content": "[XXXXX800]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51186": {
+      "content": "[XXXXX841]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51187": {
+      "content": "[XXXXX967]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51188": {
+      "content": "[XXXXX793]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51189": {
+      "content": "[XXXXX916]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51190": {
+      "content": "[XXXXX603]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51191": {
+      "content": "[XXXXX270]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51192": {
+      "content": "[XXXXX105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51193": {
+      "content": "[XXXXX1016]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51194": {
+      "content": "[XXXXX804]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51195": {
+      "content": "[XXXXX264]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51196": {
+      "content": "[XXXXX155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51197": {
+      "content": "[XXXXX1190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51198": {
+      "content": "[XXXXX813]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51199": {
+      "content": "[XXXXX546]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "keep_accents": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}
diff --git a/checkpoint-3500/trainer_state.json b/checkpoint-3500/trainer_state.json
new file mode 100644
index 0000000..51081d4
--- /dev/null
+++ b/checkpoint-3500/trainer_state.json
@@ -0,0 +1,7111 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.899751449875725,
+  "eval_steps": 500,
+  "global_step": 3500,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "entropy": 7.218191003799438,
+      "epoch": 0.004142502071251036,
+      "grad_norm": 1.265625,
+      "learning_rate": 2e-06,
+      "loss": 6.8898,
+      "mean_token_accuracy": 0.08805170804262161,
+      "num_tokens": 9149.0,
+      "step": 5
+    },
+    {
+      "entropy": 7.191673707962036,
+      "epoch": 0.008285004142502071,
+      "grad_norm": 1.5078125,
+      "learning_rate": 4.5e-06,
+      "loss": 6.7268,
+      "mean_token_accuracy": 0.09304728880524635,
+      "num_tokens": 16800.0,
+      "step": 10
+    },
+    {
+      "entropy": 7.134524202346801,
+      "epoch": 0.012427506213753107,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7e-06,
+      "loss": 6.8905,
+      "mean_token_accuracy": 0.0921505056321621,
+      "num_tokens": 26617.0,
+      "step": 15
+    },
+    {
+      "entropy": 7.115550088882446,
+      "epoch": 0.016570008285004142,
+      "grad_norm": 1.25,
+      "learning_rate": 9.5e-06,
+      "loss": 6.8021,
+      "mean_token_accuracy": 0.09268744736909866,
+      "num_tokens": 35855.0,
+      "step": 20
+    },
+    {
+      "entropy": 7.12396879196167,
+      "epoch": 0.020712510356255178,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.2e-05,
+      "loss": 7.0094,
+      "mean_token_accuracy": 0.08752714470028877,
+      "num_tokens": 45644.0,
+      "step": 25
+    },
+    {
+      "entropy": 7.054446792602539,
+      "epoch": 0.024855012427506214,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.4500000000000002e-05,
+      "loss": 6.8922,
+      "mean_token_accuracy": 0.09398627206683159,
+      "num_tokens": 54641.0,
+      "step": 30
+    },
+    {
+      "entropy": 7.012255907058716,
+      "epoch": 0.02899751449875725,
+      "grad_norm": 1.0234375,
+      "learning_rate": 1.7000000000000003e-05,
+      "loss": 6.7519,
+      "mean_token_accuracy": 0.08958807587623596,
+      "num_tokens": 63924.0,
+      "step": 35
+    },
+    {
+      "entropy": 7.068031549453735,
+      "epoch": 0.033140016570008285,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.95e-05,
+      "loss": 6.89,
+      "mean_token_accuracy": 0.09437783882021904,
+      "num_tokens": 73452.0,
+      "step": 40
+    },
+    {
+      "entropy": 7.06072301864624,
+      "epoch": 0.037282518641259324,
+      "grad_norm": 1.0234375,
+      "learning_rate": 2.2e-05,
+      "loss": 6.9455,
+      "mean_token_accuracy": 0.0851291574537754,
+      "num_tokens": 82731.0,
+      "step": 45
+    },
+    {
+      "entropy": 7.090083169937134,
+      "epoch": 0.041425020712510356,
+      "grad_norm": 1.1015625,
+      "learning_rate": 2.4500000000000003e-05,
+      "loss": 6.7734,
+      "mean_token_accuracy": 0.09048294499516488,
+      "num_tokens": 92626.0,
+      "step": 50
+    },
+    {
+      "entropy": 7.149203157424926,
+      "epoch": 0.045567522783761395,
+      "grad_norm": 1.21875,
+      "learning_rate": 2.7e-05,
+      "loss": 6.9497,
+      "mean_token_accuracy": 0.08217904865741729,
+      "num_tokens": 101380.0,
+      "step": 55
+    },
+    {
+      "entropy": 7.119951963424683,
+      "epoch": 0.04971002485501243,
+      "grad_norm": 1.046875,
+      "learning_rate": 2.95e-05,
+      "loss": 6.8604,
+      "mean_token_accuracy": 0.09202293381094932,
+      "num_tokens": 109895.0,
+      "step": 60
+    },
+    {
+      "entropy": 7.2014998435974125,
+      "epoch": 0.053852526926263466,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.2e-05,
+      "loss": 6.8449,
+      "mean_token_accuracy": 0.09257669150829315,
+      "num_tokens": 119203.0,
+      "step": 65
+    },
+    {
+      "entropy": 7.1111664295196535,
+      "epoch": 0.0579950289975145,
+      "grad_norm": 1.1484375,
+      "learning_rate": 3.4500000000000005e-05,
+      "loss": 6.7903,
+      "mean_token_accuracy": 0.09657297283411026,
+      "num_tokens": 127572.0,
+      "step": 70
+    },
+    {
+      "entropy": 7.04930944442749,
+      "epoch": 0.06213753106876554,
+      "grad_norm": 1.03125,
+      "learning_rate": 3.7e-05,
+      "loss": 6.8304,
+      "mean_token_accuracy": 0.09063600301742554,
+      "num_tokens": 137161.0,
+      "step": 75
+    },
+    {
+      "entropy": 7.044711875915527,
+      "epoch": 0.06628003314001657,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.95e-05,
+      "loss": 6.9451,
+      "mean_token_accuracy": 0.08874713778495788,
+      "num_tokens": 145991.0,
+      "step": 80
+    },
+    {
+      "entropy": 7.130092525482178,
+      "epoch": 0.07042253521126761,
+      "grad_norm": 1.0546875,
+      "learning_rate": 4.2000000000000004e-05,
+      "loss": 6.8464,
+      "mean_token_accuracy": 0.08955071866512299,
+      "num_tokens": 154927.0,
+      "step": 85
+    },
+    {
+      "entropy": 7.090402746200562,
+      "epoch": 0.07456503728251865,
+      "grad_norm": 1.34375,
+      "learning_rate": 4.45e-05,
+      "loss": 6.7595,
+      "mean_token_accuracy": 0.09832768961787224,
+      "num_tokens": 163234.0,
+      "step": 90
+    },
+    {
+      "entropy": 7.08957576751709,
+      "epoch": 0.07870753935376967,
+      "grad_norm": 1.015625,
+      "learning_rate": 4.7000000000000004e-05,
+      "loss": 6.7163,
+      "mean_token_accuracy": 0.09379880875349045,
+      "num_tokens": 171554.0,
+      "step": 95
+    },
+    {
+      "entropy": 7.044517278671265,
+      "epoch": 0.08285004142502071,
+      "grad_norm": 1.1328125,
+      "learning_rate": 4.9500000000000004e-05,
+      "loss": 6.8173,
+      "mean_token_accuracy": 0.0955286517739296,
+      "num_tokens": 180171.0,
+      "step": 100
+    },
+    {
+      "entropy": 7.050950908660889,
+      "epoch": 0.08699254349627175,
+      "grad_norm": 1.0859375,
+      "learning_rate": 5.2e-05,
+      "loss": 6.761,
+      "mean_token_accuracy": 0.09741089940071106,
+      "num_tokens": 189216.0,
+      "step": 105
+    },
+    {
+      "entropy": 7.173562717437744,
+      "epoch": 0.09113504556752279,
+      "grad_norm": 1.015625,
+      "learning_rate": 5.45e-05,
+      "loss": 6.9519,
+      "mean_token_accuracy": 0.08675800338387489,
+      "num_tokens": 200022.0,
+      "step": 110
+    },
+    {
+      "entropy": 7.183744478225708,
+      "epoch": 0.09527754763877382,
+      "grad_norm": 1.2265625,
+      "learning_rate": 5.7e-05,
+      "loss": 6.8642,
+      "mean_token_accuracy": 0.09210581332445145,
+      "num_tokens": 208686.0,
+      "step": 115
+    },
+    {
+      "entropy": 7.121539115905762,
+      "epoch": 0.09942004971002485,
+      "grad_norm": 1.1875,
+      "learning_rate": 5.9499999999999996e-05,
+      "loss": 6.8829,
+      "mean_token_accuracy": 0.09462191313505172,
+      "num_tokens": 218266.0,
+      "step": 120
+    },
+    {
+      "entropy": 7.006736946105957,
+      "epoch": 0.1035625517812759,
+      "grad_norm": 1.046875,
+      "learning_rate": 6.2e-05,
+      "loss": 6.7523,
+      "mean_token_accuracy": 0.08771666437387467,
+      "num_tokens": 227658.0,
+      "step": 125
+    },
+    {
+      "entropy": 7.040027761459351,
+      "epoch": 0.10770505385252693,
+      "grad_norm": 1.1015625,
+      "learning_rate": 6.450000000000001e-05,
+      "loss": 6.7014,
+      "mean_token_accuracy": 0.1004502885043621,
+      "num_tokens": 236301.0,
+      "step": 130
+    },
+    {
+      "entropy": 7.106470441818237,
+      "epoch": 0.11184755592377796,
+      "grad_norm": 1.1171875,
+      "learning_rate": 6.7e-05,
+      "loss": 6.8424,
+      "mean_token_accuracy": 0.08812138065695763,
+      "num_tokens": 246355.0,
+      "step": 135
+    },
+    {
+      "entropy": 7.174679756164551,
+      "epoch": 0.115990057995029,
+      "grad_norm": 1.15625,
+      "learning_rate": 6.950000000000001e-05,
+      "loss": 6.8174,
+      "mean_token_accuracy": 0.0924198254942894,
+      "num_tokens": 256023.0,
+      "step": 140
+    },
+    {
+      "entropy": 7.10174069404602,
+      "epoch": 0.12013256006628004,
+      "grad_norm": 0.9921875,
+      "learning_rate": 7.2e-05,
+      "loss": 6.9036,
+      "mean_token_accuracy": 0.08638993799686431,
+      "num_tokens": 266893.0,
+      "step": 145
+    },
+    {
+      "entropy": 7.019921684265137,
+      "epoch": 0.12427506213753108,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7.45e-05,
+      "loss": 6.6606,
+      "mean_token_accuracy": 0.08872481286525727,
+      "num_tokens": 276075.0,
+      "step": 150
+    },
+    {
+      "entropy": 7.042754888534546,
+      "epoch": 0.12841756420878211,
+      "grad_norm": 1.25,
+      "learning_rate": 7.7e-05,
+      "loss": 6.7532,
+      "mean_token_accuracy": 0.09296932220458984,
+      "num_tokens": 285529.0,
+      "step": 155
+    },
+    {
+      "entropy": 7.064399909973145,
+      "epoch": 0.13256006628003314,
+      "grad_norm": 1.15625,
+      "learning_rate": 7.950000000000001e-05,
+      "loss": 6.762,
+      "mean_token_accuracy": 0.09406789913773536,
+      "num_tokens": 294403.0,
+      "step": 160
+    },
+    {
+      "entropy": 7.152362823486328,
+      "epoch": 0.13670256835128416,
+      "grad_norm": 1.28125,
+      "learning_rate": 8.2e-05,
+      "loss": 6.8553,
+      "mean_token_accuracy": 0.09358441680669785,
+      "num_tokens": 303507.0,
+      "step": 165
+    },
+    {
+      "entropy": 7.071487474441528,
+      "epoch": 0.14084507042253522,
+      "grad_norm": 1.21875,
+      "learning_rate": 8.450000000000001e-05,
+      "loss": 6.7534,
+      "mean_token_accuracy": 0.09645206108689308,
+      "num_tokens": 312393.0,
+      "step": 170
+    },
+    {
+      "entropy": 6.956210470199585,
+      "epoch": 0.14498757249378624,
+      "grad_norm": 1.0859375,
+      "learning_rate": 8.7e-05,
+      "loss": 6.7226,
+      "mean_token_accuracy": 0.09953253641724587,
+      "num_tokens": 321309.0,
+      "step": 175
+    },
+    {
+      "entropy": 7.2200812816619875,
+      "epoch": 0.1491300745650373,
+      "grad_norm": 1.1328125,
+      "learning_rate": 8.95e-05,
+      "loss": 6.7879,
+      "mean_token_accuracy": 0.09582221284508705,
+      "num_tokens": 330217.0,
+      "step": 180
+    },
+    {
+      "entropy": 6.964824962615967,
+      "epoch": 0.15327257663628832,
+      "grad_norm": 1.2109375,
+      "learning_rate": 9.2e-05,
+      "loss": 6.8296,
+      "mean_token_accuracy": 0.09584516286849976,
+      "num_tokens": 339587.0,
+      "step": 185
+    },
+    {
+      "entropy": 7.104565525054932,
+      "epoch": 0.15741507870753935,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.45e-05,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.09563353508710862,
+      "num_tokens": 349367.0,
+      "step": 190
+    },
+    {
+      "entropy": 6.90956711769104,
+      "epoch": 0.1615575807787904,
+      "grad_norm": 1.1953125,
+      "learning_rate": 9.7e-05,
+      "loss": 6.6535,
+      "mean_token_accuracy": 0.09533214569091797,
+      "num_tokens": 358272.0,
+      "step": 195
+    },
+    {
+      "entropy": 7.184430170059204,
+      "epoch": 0.16570008285004142,
+      "grad_norm": 1.1875,
+      "learning_rate": 9.95e-05,
+      "loss": 6.8847,
+      "mean_token_accuracy": 0.09342379868030548,
+      "num_tokens": 367709.0,
+      "step": 200
+    },
+    {
+      "entropy": 7.108258152008057,
+      "epoch": 0.16984258492129245,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000102,
+      "loss": 6.7363,
+      "mean_token_accuracy": 0.09321728497743606,
+      "num_tokens": 376180.0,
+      "step": 205
+    },
+    {
+      "entropy": 7.143853282928466,
+      "epoch": 0.1739850869925435,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00010449999999999999,
+      "loss": 6.8927,
+      "mean_token_accuracy": 0.08639989122748375,
+      "num_tokens": 385636.0,
+      "step": 210
+    },
+    {
+      "entropy": 7.005528688430786,
+      "epoch": 0.17812758906379453,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000107,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.10387283116579056,
+      "num_tokens": 394486.0,
+      "step": 215
+    },
+    {
+      "entropy": 7.066776275634766,
+      "epoch": 0.18227009113504558,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0001095,
+      "loss": 6.7286,
+      "mean_token_accuracy": 0.09739693626761436,
+      "num_tokens": 403765.0,
+      "step": 220
+    },
+    {
+      "entropy": 6.9391695022583,
+      "epoch": 0.1864125932062966,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000112,
+      "loss": 6.7198,
+      "mean_token_accuracy": 0.09883175939321517,
+      "num_tokens": 412988.0,
+      "step": 225
+    },
+    {
+      "entropy": 7.029045248031617,
+      "epoch": 0.19055509527754763,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0001145,
+      "loss": 6.6219,
+      "mean_token_accuracy": 0.09850638806819915,
+      "num_tokens": 422096.0,
+      "step": 230
+    },
+    {
+      "entropy": 7.055552911758423,
+      "epoch": 0.19469759734879868,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011700000000000001,
+      "loss": 6.7907,
+      "mean_token_accuracy": 0.08912368193268776,
+      "num_tokens": 431333.0,
+      "step": 235
+    },
+    {
+      "entropy": 7.076433277130127,
+      "epoch": 0.1988400994200497,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00011949999999999999,
+      "loss": 6.825,
+      "mean_token_accuracy": 0.0998022735118866,
+      "num_tokens": 440382.0,
+      "step": 240
+    },
+    {
+      "entropy": 7.098494958877564,
+      "epoch": 0.20298260149130073,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000122,
+      "loss": 6.7184,
+      "mean_token_accuracy": 0.1035430908203125,
+      "num_tokens": 448469.0,
+      "step": 245
+    },
+    {
+      "entropy": 7.065437746047974,
+      "epoch": 0.2071251035625518,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001245,
+      "loss": 6.7562,
+      "mean_token_accuracy": 0.0973759837448597,
+      "num_tokens": 457356.0,
+      "step": 250
+    },
+    {
+      "entropy": 7.103154182434082,
+      "epoch": 0.2112676056338028,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000127,
+      "loss": 6.7821,
+      "mean_token_accuracy": 0.09721289053559304,
+      "num_tokens": 465928.0,
+      "step": 255
+    },
+    {
+      "entropy": 6.99681601524353,
+      "epoch": 0.21541010770505387,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0001295,
+      "loss": 6.6931,
+      "mean_token_accuracy": 0.09931288808584213,
+      "num_tokens": 475269.0,
+      "step": 260
+    },
+    {
+      "entropy": 6.960800266265869,
+      "epoch": 0.2195526097763049,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000132,
+      "loss": 6.679,
+      "mean_token_accuracy": 0.09512786641716957,
+      "num_tokens": 485450.0,
+      "step": 265
+    },
+    {
+      "entropy": 7.0514568328857425,
+      "epoch": 0.22369511184755592,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00013450000000000002,
+      "loss": 6.7347,
+      "mean_token_accuracy": 0.10228226557374001,
+      "num_tokens": 494029.0,
+      "step": 270
+    },
+    {
+      "entropy": 6.9516912460327145,
+      "epoch": 0.22783761391880697,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013700000000000002,
+      "loss": 6.676,
+      "mean_token_accuracy": 0.10202871784567832,
+      "num_tokens": 503253.0,
+      "step": 275
+    },
+    {
+      "entropy": 7.018160057067871,
+      "epoch": 0.231980115990058,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0001395,
+      "loss": 6.6685,
+      "mean_token_accuracy": 0.09529435187578202,
+      "num_tokens": 512857.0,
+      "step": 280
+    },
+    {
+      "entropy": 6.9714985370635985,
+      "epoch": 0.23612261806130902,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00014199999999999998,
+      "loss": 6.7719,
+      "mean_token_accuracy": 0.09288227260112762,
+      "num_tokens": 522319.0,
+      "step": 285
+    },
+    {
+      "entropy": 7.113205528259277,
+      "epoch": 0.24026512013256007,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0001445,
+      "loss": 6.7224,
+      "mean_token_accuracy": 0.09471780881285667,
+      "num_tokens": 531469.0,
+      "step": 290
+    },
+    {
+      "entropy": 6.976934480667114,
+      "epoch": 0.2444076222038111,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000147,
+      "loss": 6.756,
+      "mean_token_accuracy": 0.09480062946677208,
+      "num_tokens": 540470.0,
+      "step": 295
+    },
+    {
+      "entropy": 7.011937475204467,
+      "epoch": 0.24855012427506215,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0001495,
+      "loss": 6.7584,
+      "mean_token_accuracy": 0.09700122326612473,
+      "num_tokens": 550317.0,
+      "step": 300
+    },
+    {
+      "entropy": 7.0365160465240475,
+      "epoch": 0.2526926263463132,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000152,
+      "loss": 6.7067,
+      "mean_token_accuracy": 0.09434132501482964,
+      "num_tokens": 559409.0,
+      "step": 305
+    },
+    {
+      "entropy": 6.928857326507568,
+      "epoch": 0.25683512841756423,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00015450000000000001,
+      "loss": 6.768,
+      "mean_token_accuracy": 0.10764710158109665,
+      "num_tokens": 568726.0,
+      "step": 310
+    },
+    {
+      "entropy": 7.103991413116455,
+      "epoch": 0.2609776304888152,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000157,
+      "loss": 6.7179,
+      "mean_token_accuracy": 0.0976541943848133,
+      "num_tokens": 577926.0,
+      "step": 315
+    },
+    {
+      "entropy": 7.047203779220581,
+      "epoch": 0.2651201325600663,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001595,
+      "loss": 6.7448,
+      "mean_token_accuracy": 0.09809661954641342,
+      "num_tokens": 586695.0,
+      "step": 320
+    },
+    {
+      "entropy": 7.039609956741333,
+      "epoch": 0.26926263463131733,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000162,
+      "loss": 6.771,
+      "mean_token_accuracy": 0.0949723981320858,
+      "num_tokens": 596250.0,
+      "step": 325
+    },
+    {
+      "entropy": 7.063632202148438,
+      "epoch": 0.27340513670256833,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00016450000000000001,
+      "loss": 6.8221,
+      "mean_token_accuracy": 0.09051206335425377,
+      "num_tokens": 605761.0,
+      "step": 330
+    },
+    {
+      "entropy": 7.019326877593994,
+      "epoch": 0.2775476387738194,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00016700000000000002,
+      "loss": 6.7365,
+      "mean_token_accuracy": 0.09872144013643265,
+      "num_tokens": 614313.0,
+      "step": 335
+    },
+    {
+      "entropy": 7.037422132492066,
+      "epoch": 0.28169014084507044,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00016950000000000003,
+      "loss": 6.7692,
+      "mean_token_accuracy": 0.09455474764108658,
+      "num_tokens": 624470.0,
+      "step": 340
+    },
+    {
+      "entropy": 7.039082098007202,
+      "epoch": 0.28583264291632143,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00017199999999999998,
+      "loss": 6.6843,
+      "mean_token_accuracy": 0.09269843101501465,
+      "num_tokens": 633458.0,
+      "step": 345
+    },
+    {
+      "entropy": 6.942268037796021,
+      "epoch": 0.2899751449875725,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00017449999999999999,
+      "loss": 6.6939,
+      "mean_token_accuracy": 0.09877684414386749,
+      "num_tokens": 643251.0,
+      "step": 350
+    },
+    {
+      "entropy": 6.99584732055664,
+      "epoch": 0.29411764705882354,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000177,
+      "loss": 6.7635,
+      "mean_token_accuracy": 0.09713540598750114,
+      "num_tokens": 652005.0,
+      "step": 355
+    },
+    {
+      "entropy": 7.006586170196533,
+      "epoch": 0.2982601491300746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0001795,
+      "loss": 6.6575,
+      "mean_token_accuracy": 0.10120807588100433,
+      "num_tokens": 661003.0,
+      "step": 360
+    },
+    {
+      "entropy": 6.874996137619019,
+      "epoch": 0.3024026512013256,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000182,
+      "loss": 6.6294,
+      "mean_token_accuracy": 0.09844254851341247,
+      "num_tokens": 670221.0,
+      "step": 365
+    },
+    {
+      "entropy": 7.155635738372803,
+      "epoch": 0.30654515327257664,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001845,
+      "loss": 6.9236,
+      "mean_token_accuracy": 0.0882349319756031,
+      "num_tokens": 680756.0,
+      "step": 370
+    },
+    {
+      "entropy": 6.94540753364563,
+      "epoch": 0.3106876553438277,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000187,
+      "loss": 6.6157,
+      "mean_token_accuracy": 0.10289054960012436,
+      "num_tokens": 689641.0,
+      "step": 375
+    },
+    {
+      "entropy": 6.87992377281189,
+      "epoch": 0.3148301574150787,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001895,
+      "loss": 6.5696,
+      "mean_token_accuracy": 0.09839320331811904,
+      "num_tokens": 698209.0,
+      "step": 380
+    },
+    {
+      "entropy": 6.823869276046753,
+      "epoch": 0.31897265948632975,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000192,
+      "loss": 6.5736,
+      "mean_token_accuracy": 0.10355777889490128,
+      "num_tokens": 706712.0,
+      "step": 385
+    },
+    {
+      "entropy": 7.037634468078613,
+      "epoch": 0.3231151615575808,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0001945,
+      "loss": 6.8017,
+      "mean_token_accuracy": 0.09728012606501579,
+      "num_tokens": 716087.0,
+      "step": 390
+    },
+    {
+      "entropy": 6.911249494552612,
+      "epoch": 0.3272576636288318,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00019700000000000002,
+      "loss": 6.6465,
+      "mean_token_accuracy": 0.09347675815224647,
+      "num_tokens": 725913.0,
+      "step": 395
+    },
+    {
+      "entropy": 6.944440317153931,
+      "epoch": 0.33140016570008285,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019950000000000002,
+      "loss": 6.7201,
+      "mean_token_accuracy": 0.10362306237220764,
+      "num_tokens": 735020.0,
+      "step": 400
+    },
+    {
+      "entropy": 6.985636854171753,
+      "epoch": 0.3355426677713339,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000202,
+      "loss": 6.6216,
+      "mean_token_accuracy": 0.09469136893749237,
+      "num_tokens": 744299.0,
+      "step": 405
+    },
+    {
+      "entropy": 6.883630275726318,
+      "epoch": 0.3396851698425849,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00020449999999999998,
+      "loss": 6.6099,
+      "mean_token_accuracy": 0.09694516137242318,
+      "num_tokens": 753231.0,
+      "step": 410
+    },
+    {
+      "entropy": 6.825357389450073,
+      "epoch": 0.34382767191383595,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000207,
+      "loss": 6.6717,
+      "mean_token_accuracy": 0.10230854973196983,
+      "num_tokens": 763043.0,
+      "step": 415
+    },
+    {
+      "entropy": 7.016851997375488,
+      "epoch": 0.347970173985087,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0002095,
+      "loss": 6.6905,
+      "mean_token_accuracy": 0.09913048222661018,
+      "num_tokens": 771977.0,
+      "step": 420
+    },
+    {
+      "entropy": 6.820244407653808,
+      "epoch": 0.352112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000212,
+      "loss": 6.6243,
+      "mean_token_accuracy": 0.1011092983186245,
+      "num_tokens": 780285.0,
+      "step": 425
+    },
+    {
+      "entropy": 6.956075525283813,
+      "epoch": 0.35625517812758906,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002145,
+      "loss": 6.6593,
+      "mean_token_accuracy": 0.09649045094847679,
+      "num_tokens": 789980.0,
+      "step": 430
+    },
+    {
+      "entropy": 6.984846019744873,
+      "epoch": 0.3603976801988401,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021700000000000002,
+      "loss": 6.6275,
+      "mean_token_accuracy": 0.10474459528923034,
+      "num_tokens": 798700.0,
+      "step": 435
+    },
+    {
+      "entropy": 6.767291498184204,
+      "epoch": 0.36454018227009116,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002195,
+      "loss": 6.7208,
+      "mean_token_accuracy": 0.09600067660212516,
+      "num_tokens": 808758.0,
+      "step": 440
+    },
+    {
+      "entropy": 7.046369791030884,
+      "epoch": 0.36868268434134216,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000222,
+      "loss": 6.6666,
+      "mean_token_accuracy": 0.10458802133798599,
+      "num_tokens": 817692.0,
+      "step": 445
+    },
+    {
+      "entropy": 6.95425066947937,
+      "epoch": 0.3728251864125932,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002245,
+      "loss": 6.7146,
+      "mean_token_accuracy": 0.10474570766091347,
+      "num_tokens": 827052.0,
+      "step": 450
+    },
+    {
+      "entropy": 6.895345544815063,
+      "epoch": 0.37696768848384427,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00022700000000000002,
+      "loss": 6.7139,
+      "mean_token_accuracy": 0.1091882586479187,
+      "num_tokens": 836442.0,
+      "step": 455
+    },
+    {
+      "entropy": 6.922871923446655,
+      "epoch": 0.38111019055509526,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00022950000000000002,
+      "loss": 6.5775,
+      "mean_token_accuracy": 0.10118989571928978,
+      "num_tokens": 846441.0,
+      "step": 460
+    },
+    {
+      "entropy": 6.8815388679504395,
+      "epoch": 0.3852526926263463,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00023200000000000003,
+      "loss": 6.6215,
+      "mean_token_accuracy": 0.10475475937128068,
+      "num_tokens": 856108.0,
+      "step": 465
+    },
+    {
+      "entropy": 6.848587274551392,
+      "epoch": 0.38939519469759737,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00023449999999999998,
+      "loss": 6.5833,
+      "mean_token_accuracy": 0.10137399956583977,
+      "num_tokens": 865788.0,
+      "step": 470
+    },
+    {
+      "entropy": 6.886804008483887,
+      "epoch": 0.39353769676884837,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000237,
+      "loss": 6.6302,
+      "mean_token_accuracy": 0.09514767676591873,
+      "num_tokens": 874833.0,
+      "step": 475
+    },
+    {
+      "entropy": 6.751422643661499,
+      "epoch": 0.3976801988400994,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002395,
+      "loss": 6.5997,
+      "mean_token_accuracy": 0.10276172533631325,
+      "num_tokens": 883685.0,
+      "step": 480
+    },
+    {
+      "entropy": 6.881311464309692,
+      "epoch": 0.40182270091135047,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000242,
+      "loss": 6.6001,
+      "mean_token_accuracy": 0.09796027019619942,
+      "num_tokens": 893908.0,
+      "step": 485
+    },
+    {
+      "entropy": 6.934821891784668,
+      "epoch": 0.40596520298260147,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002445,
+      "loss": 6.7142,
+      "mean_token_accuracy": 0.09827135354280472,
+      "num_tokens": 903081.0,
+      "step": 490
+    },
+    {
+      "entropy": 6.7868632793426515,
+      "epoch": 0.4101077050538525,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000247,
+      "loss": 6.5522,
+      "mean_token_accuracy": 0.10336750745773315,
+      "num_tokens": 912515.0,
+      "step": 495
+    },
+    {
+      "entropy": 6.886235475540161,
+      "epoch": 0.4142502071251036,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002495,
+      "loss": 6.5797,
+      "mean_token_accuracy": 0.1070313923060894,
+      "num_tokens": 921056.0,
+      "step": 500
+    },
+    {
+      "epoch": 0.4142502071251036,
+      "eval_entropy": 6.836038604728194,
+      "eval_loss": 6.684774875640869,
+      "eval_mean_token_accuracy": 0.10272799217021034,
+      "eval_num_tokens": 921056.0,
+      "eval_runtime": 2.7891,
+      "eval_samples_per_second": 1343.421,
+      "eval_steps_per_second": 168.152,
+      "step": 500
+    },
+    {
+      "entropy": 6.7657403469085695,
+      "epoch": 0.4183927091963546,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000252,
+      "loss": 6.5317,
+      "mean_token_accuracy": 0.10417452603578567,
+      "num_tokens": 931112.0,
+      "step": 505
+    },
+    {
+      "entropy": 6.821895503997803,
+      "epoch": 0.4225352112676056,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0002545,
+      "loss": 6.6605,
+      "mean_token_accuracy": 0.0978618748486042,
+      "num_tokens": 941120.0,
+      "step": 510
+    },
+    {
+      "entropy": 6.886211729049682,
+      "epoch": 0.4266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000257,
+      "loss": 6.6044,
+      "mean_token_accuracy": 0.09737976416945457,
+      "num_tokens": 950041.0,
+      "step": 515
+    },
+    {
+      "entropy": 6.879851579666138,
+      "epoch": 0.43082021541010773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002595,
+      "loss": 6.5907,
+      "mean_token_accuracy": 0.10606569275259972,
+      "num_tokens": 958608.0,
+      "step": 520
+    },
+    {
+      "entropy": 6.886484861373901,
+      "epoch": 0.43496271748135873,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.000262,
+      "loss": 6.7158,
+      "mean_token_accuracy": 0.09990910813212395,
+      "num_tokens": 966901.0,
+      "step": 525
+    },
+    {
+      "entropy": 6.767313003540039,
+      "epoch": 0.4391052195526098,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026450000000000003,
+      "loss": 6.5504,
+      "mean_token_accuracy": 0.10768762230873108,
+      "num_tokens": 976198.0,
+      "step": 530
+    },
+    {
+      "entropy": 6.892781782150268,
+      "epoch": 0.44324772162386084,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026700000000000004,
+      "loss": 6.624,
+      "mean_token_accuracy": 0.09861580505967141,
+      "num_tokens": 985248.0,
+      "step": 535
+    },
+    {
+      "entropy": 6.772344255447388,
+      "epoch": 0.44739022369511183,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00026950000000000005,
+      "loss": 6.5014,
+      "mean_token_accuracy": 0.1071978710591793,
+      "num_tokens": 993289.0,
+      "step": 540
+    },
+    {
+      "entropy": 6.820696449279785,
+      "epoch": 0.4515327257663629,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027200000000000005,
+      "loss": 6.5909,
+      "mean_token_accuracy": 0.10533165782690049,
+      "num_tokens": 1001784.0,
+      "step": 545
+    },
+    {
+      "entropy": 6.935409688949585,
+      "epoch": 0.45567522783761394,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002745,
+      "loss": 6.5627,
+      "mean_token_accuracy": 0.10804210156202317,
+      "num_tokens": 1010445.0,
+      "step": 550
+    },
+    {
+      "entropy": 6.745790100097656,
+      "epoch": 0.45981772990886494,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000277,
+      "loss": 6.6184,
+      "mean_token_accuracy": 0.10709234476089477,
+      "num_tokens": 1019084.0,
+      "step": 555
+    },
+    {
+      "entropy": 6.7490733623504635,
+      "epoch": 0.463960231980116,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002795,
+      "loss": 6.5249,
+      "mean_token_accuracy": 0.10461713373661041,
+      "num_tokens": 1027263.0,
+      "step": 560
+    },
+    {
+      "entropy": 6.876884937286377,
+      "epoch": 0.46810273405136704,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00028199999999999997,
+      "loss": 6.6233,
+      "mean_token_accuracy": 0.09752989709377288,
+      "num_tokens": 1036275.0,
+      "step": 565
+    },
+    {
+      "entropy": 6.765736055374146,
+      "epoch": 0.47224523612261804,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002845,
+      "loss": 6.7015,
+      "mean_token_accuracy": 0.09858408868312836,
+      "num_tokens": 1045208.0,
+      "step": 570
+    },
+    {
+      "entropy": 6.9024957656860355,
+      "epoch": 0.4763877381938691,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000287,
+      "loss": 6.6287,
+      "mean_token_accuracy": 0.1026283286511898,
+      "num_tokens": 1054703.0,
+      "step": 575
+    },
+    {
+      "entropy": 6.647345924377442,
+      "epoch": 0.48053024026512015,
+      "grad_norm": 1.5,
+      "learning_rate": 0.0002895,
+      "loss": 6.4841,
+      "mean_token_accuracy": 0.10212503597140313,
+      "num_tokens": 1063652.0,
+      "step": 580
+    },
+    {
+      "entropy": 6.717900657653809,
+      "epoch": 0.48467274233637114,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000292,
+      "loss": 6.5873,
+      "mean_token_accuracy": 0.10145951434969902,
+      "num_tokens": 1072070.0,
+      "step": 585
+    },
+    {
+      "entropy": 6.997959756851197,
+      "epoch": 0.4888152444076222,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002945,
+      "loss": 6.6143,
+      "mean_token_accuracy": 0.10064447894692422,
+      "num_tokens": 1079992.0,
+      "step": 590
+    },
+    {
+      "entropy": 6.657160854339599,
+      "epoch": 0.49295774647887325,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000297,
+      "loss": 6.628,
+      "mean_token_accuracy": 0.10435748845338821,
+      "num_tokens": 1088862.0,
+      "step": 595
+    },
+    {
+      "entropy": 6.773271942138672,
+      "epoch": 0.4971002485501243,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002995,
+      "loss": 6.4317,
+      "mean_token_accuracy": 0.10795770138502121,
+      "num_tokens": 1097614.0,
+      "step": 600
+    },
+    {
+      "entropy": 6.7102379322052,
+      "epoch": 0.5012427506213754,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000302,
+      "loss": 6.6288,
+      "mean_token_accuracy": 0.10706980749964715,
+      "num_tokens": 1107347.0,
+      "step": 605
+    },
+    {
+      "entropy": 6.8672473430633545,
+      "epoch": 0.5053852526926264,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003045,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10073774978518486,
+      "num_tokens": 1116707.0,
+      "step": 610
+    },
+    {
+      "entropy": 6.764383840560913,
+      "epoch": 0.5095277547638773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000307,
+      "loss": 6.6549,
+      "mean_token_accuracy": 0.10234303548932075,
+      "num_tokens": 1126356.0,
+      "step": 615
+    },
+    {
+      "entropy": 6.787193298339844,
+      "epoch": 0.5136702568351285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003095,
+      "loss": 6.5847,
+      "mean_token_accuracy": 0.10079671740531922,
+      "num_tokens": 1136281.0,
+      "step": 620
+    },
+    {
+      "entropy": 6.713733196258545,
+      "epoch": 0.5178127589063795,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000312,
+      "loss": 6.5355,
+      "mean_token_accuracy": 0.10429632142186165,
+      "num_tokens": 1145466.0,
+      "step": 625
+    },
+    {
+      "entropy": 6.7503923892974855,
+      "epoch": 0.5219552609776305,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003145,
+      "loss": 6.5409,
+      "mean_token_accuracy": 0.10918259546160698,
+      "num_tokens": 1154225.0,
+      "step": 630
+    },
+    {
+      "entropy": 6.761834907531738,
+      "epoch": 0.5260977630488816,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000317,
+      "loss": 6.5885,
+      "mean_token_accuracy": 0.09673135951161385,
+      "num_tokens": 1163872.0,
+      "step": 635
+    },
+    {
+      "entropy": 6.69431324005127,
+      "epoch": 0.5302402651201326,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003195,
+      "loss": 6.5244,
+      "mean_token_accuracy": 0.10705070868134499,
+      "num_tokens": 1172695.0,
+      "step": 640
+    },
+    {
+      "entropy": 6.651590061187744,
+      "epoch": 0.5343827671913836,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000322,
+      "loss": 6.3962,
+      "mean_token_accuracy": 0.11006554961204529,
+      "num_tokens": 1181291.0,
+      "step": 645
+    },
+    {
+      "entropy": 6.782713270187378,
+      "epoch": 0.5385252692626347,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00032450000000000003,
+      "loss": 6.5715,
+      "mean_token_accuracy": 0.10394523739814758,
+      "num_tokens": 1189927.0,
+      "step": 650
+    },
+    {
+      "entropy": 6.705166435241699,
+      "epoch": 0.5426677713338857,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00032700000000000003,
+      "loss": 6.5043,
+      "mean_token_accuracy": 0.10940467119216919,
+      "num_tokens": 1197913.0,
+      "step": 655
+    },
+    {
+      "entropy": 6.670699262619019,
+      "epoch": 0.5468102734051367,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032950000000000004,
+      "loss": 6.4309,
+      "mean_token_accuracy": 0.11147961542010307,
+      "num_tokens": 1207032.0,
+      "step": 660
+    },
+    {
+      "entropy": 6.640204334259034,
+      "epoch": 0.5509527754763878,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00033200000000000005,
+      "loss": 6.5397,
+      "mean_token_accuracy": 0.10571447387337685,
+      "num_tokens": 1215710.0,
+      "step": 665
+    },
+    {
+      "entropy": 6.694819068908691,
+      "epoch": 0.5550952775476388,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033450000000000005,
+      "loss": 6.52,
+      "mean_token_accuracy": 0.10049431845545768,
+      "num_tokens": 1225619.0,
+      "step": 670
+    },
+    {
+      "entropy": 6.649594163894653,
+      "epoch": 0.5592377796188898,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000337,
+      "loss": 6.4407,
+      "mean_token_accuracy": 0.11157044768333435,
+      "num_tokens": 1235000.0,
+      "step": 675
+    },
+    {
+      "entropy": 6.612611961364746,
+      "epoch": 0.5633802816901409,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003395,
+      "loss": 6.4462,
+      "mean_token_accuracy": 0.108580531924963,
+      "num_tokens": 1243594.0,
+      "step": 680
+    },
+    {
+      "entropy": 6.843221950531006,
+      "epoch": 0.5675227837613919,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000342,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10460855960845947,
+      "num_tokens": 1252279.0,
+      "step": 685
+    },
+    {
+      "entropy": 6.760235929489136,
+      "epoch": 0.5716652858326429,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034449999999999997,
+      "loss": 6.559,
+      "mean_token_accuracy": 0.10665302500128745,
+      "num_tokens": 1261314.0,
+      "step": 690
+    },
+    {
+      "entropy": 6.55326566696167,
+      "epoch": 0.575807787903894,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000347,
+      "loss": 6.4337,
+      "mean_token_accuracy": 0.11188110187649727,
+      "num_tokens": 1270854.0,
+      "step": 695
+    },
+    {
+      "entropy": 6.618375587463379,
+      "epoch": 0.579950289975145,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003495,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.11392810270190239,
+      "num_tokens": 1279183.0,
+      "step": 700
+    },
+    {
+      "entropy": 6.626208257675171,
+      "epoch": 0.584092792046396,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000352,
+      "loss": 6.5015,
+      "mean_token_accuracy": 0.10761247500777245,
+      "num_tokens": 1288347.0,
+      "step": 705
+    },
+    {
+      "entropy": 6.6855669021606445,
+      "epoch": 0.5882352941176471,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003545,
+      "loss": 6.5036,
+      "mean_token_accuracy": 0.10823310390114785,
+      "num_tokens": 1297449.0,
+      "step": 710
+    },
+    {
+      "entropy": 6.710147094726563,
+      "epoch": 0.5923777961888981,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000357,
+      "loss": 6.4688,
+      "mean_token_accuracy": 0.10904998034238815,
+      "num_tokens": 1306232.0,
+      "step": 715
+    },
+    {
+      "entropy": 6.6553794860839846,
+      "epoch": 0.5965202982601492,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003595,
+      "loss": 6.4857,
+      "mean_token_accuracy": 0.11109372302889824,
+      "num_tokens": 1315073.0,
+      "step": 720
+    },
+    {
+      "entropy": 6.674065732955933,
+      "epoch": 0.6006628003314002,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000362,
+      "loss": 6.5301,
+      "mean_token_accuracy": 0.10648825243115426,
+      "num_tokens": 1324629.0,
+      "step": 725
+    },
+    {
+      "entropy": 6.700368881225586,
+      "epoch": 0.6048053024026512,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0003645,
+      "loss": 6.6444,
+      "mean_token_accuracy": 0.10443340390920638,
+      "num_tokens": 1334152.0,
+      "step": 730
+    },
+    {
+      "entropy": 6.779498624801636,
+      "epoch": 0.6089478044739023,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000367,
+      "loss": 6.5946,
+      "mean_token_accuracy": 0.10130336955189705,
+      "num_tokens": 1343063.0,
+      "step": 735
+    },
+    {
+      "entropy": 6.684298419952393,
+      "epoch": 0.6130903065451533,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0003695,
+      "loss": 6.5241,
+      "mean_token_accuracy": 0.10516620799899101,
+      "num_tokens": 1352632.0,
+      "step": 740
+    },
+    {
+      "entropy": 6.582866573333741,
+      "epoch": 0.6172328086164043,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000372,
+      "loss": 6.4712,
+      "mean_token_accuracy": 0.10765027329325676,
+      "num_tokens": 1361103.0,
+      "step": 745
+    },
+    {
+      "entropy": 6.643687963485718,
+      "epoch": 0.6213753106876554,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003745,
+      "loss": 6.4642,
+      "mean_token_accuracy": 0.10832677409052849,
+      "num_tokens": 1370658.0,
+      "step": 750
+    },
+    {
+      "entropy": 6.64506516456604,
+      "epoch": 0.6255178127589064,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000377,
+      "loss": 6.4878,
+      "mean_token_accuracy": 0.10808288529515267,
+      "num_tokens": 1379817.0,
+      "step": 755
+    },
+    {
+      "entropy": 6.640752458572388,
+      "epoch": 0.6296603148301574,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003795,
+      "loss": 6.4418,
+      "mean_token_accuracy": 0.10874675288796425,
+      "num_tokens": 1389329.0,
+      "step": 760
+    },
+    {
+      "entropy": 6.4627049446105955,
+      "epoch": 0.6338028169014085,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000382,
+      "loss": 6.4902,
+      "mean_token_accuracy": 0.10606684386730195,
+      "num_tokens": 1399279.0,
+      "step": 765
+    },
+    {
+      "entropy": 6.621781063079834,
+      "epoch": 0.6379453189726595,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003845,
+      "loss": 6.4146,
+      "mean_token_accuracy": 0.11267002299427986,
+      "num_tokens": 1408765.0,
+      "step": 770
+    },
+    {
+      "entropy": 6.736465692520142,
+      "epoch": 0.6420878210439105,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038700000000000003,
+      "loss": 6.5632,
+      "mean_token_accuracy": 0.10607504546642303,
+      "num_tokens": 1418615.0,
+      "step": 775
+    },
+    {
+      "entropy": 6.616378879547119,
+      "epoch": 0.6462303231151616,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038950000000000003,
+      "loss": 6.4664,
+      "mean_token_accuracy": 0.10207068845629692,
+      "num_tokens": 1427359.0,
+      "step": 780
+    },
+    {
+      "entropy": 6.70065336227417,
+      "epoch": 0.6503728251864126,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00039200000000000004,
+      "loss": 6.622,
+      "mean_token_accuracy": 0.1116428442299366,
+      "num_tokens": 1435516.0,
+      "step": 785
+    },
+    {
+      "entropy": 6.709064102172851,
+      "epoch": 0.6545153272576636,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00039450000000000005,
+      "loss": 6.5704,
+      "mean_token_accuracy": 0.10583743155002594,
+      "num_tokens": 1444438.0,
+      "step": 790
+    },
+    {
+      "entropy": 6.671351766586303,
+      "epoch": 0.6586578293289147,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00039700000000000005,
+      "loss": 6.4996,
+      "mean_token_accuracy": 0.11326526403427124,
+      "num_tokens": 1453740.0,
+      "step": 795
+    },
+    {
+      "entropy": 6.614573907852173,
+      "epoch": 0.6628003314001657,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003995,
+      "loss": 6.4874,
+      "mean_token_accuracy": 0.11111863479018211,
+      "num_tokens": 1462083.0,
+      "step": 800
+    },
+    {
+      "entropy": 6.484545516967773,
+      "epoch": 0.6669428334714167,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000402,
+      "loss": 6.4127,
+      "mean_token_accuracy": 0.1100592203438282,
+      "num_tokens": 1471459.0,
+      "step": 805
+    },
+    {
+      "entropy": 6.621589279174804,
+      "epoch": 0.6710853355426678,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004045,
+      "loss": 6.3972,
+      "mean_token_accuracy": 0.11681128293275833,
+      "num_tokens": 1480516.0,
+      "step": 810
+    },
+    {
+      "entropy": 6.421737241744995,
+      "epoch": 0.6752278376139188,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00040699999999999997,
+      "loss": 6.3,
+      "mean_token_accuracy": 0.11318568140268326,
+      "num_tokens": 1489268.0,
+      "step": 815
+    },
+    {
+      "entropy": 6.700246906280517,
+      "epoch": 0.6793703396851698,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004095,
+      "loss": 6.5174,
+      "mean_token_accuracy": 0.11110908538103104,
+      "num_tokens": 1498819.0,
+      "step": 820
+    },
+    {
+      "entropy": 6.622490644454956,
+      "epoch": 0.6835128417564209,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000412,
+      "loss": 6.501,
+      "mean_token_accuracy": 0.11033953949809075,
+      "num_tokens": 1507852.0,
+      "step": 825
+    },
+    {
+      "entropy": 6.59730544090271,
+      "epoch": 0.6876553438276719,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004145,
+      "loss": 6.5302,
+      "mean_token_accuracy": 0.11122860461473465,
+      "num_tokens": 1517538.0,
+      "step": 830
+    },
+    {
+      "entropy": 6.458763217926025,
+      "epoch": 0.6917978458989229,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000417,
+      "loss": 6.4061,
+      "mean_token_accuracy": 0.11324542313814163,
+      "num_tokens": 1525389.0,
+      "step": 835
+    },
+    {
+      "entropy": 6.57511887550354,
+      "epoch": 0.695940347970174,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004195,
+      "loss": 6.3741,
+      "mean_token_accuracy": 0.11116622686386109,
+      "num_tokens": 1534117.0,
+      "step": 840
+    },
+    {
+      "entropy": 6.522304344177246,
+      "epoch": 0.700082850041425,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000422,
+      "loss": 6.4029,
+      "mean_token_accuracy": 0.11315450444817543,
+      "num_tokens": 1542610.0,
+      "step": 845
+    },
+    {
+      "entropy": 6.5175107479095455,
+      "epoch": 0.704225352112676,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004245,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.1143906556069851,
+      "num_tokens": 1551771.0,
+      "step": 850
+    },
+    {
+      "entropy": 6.620167636871338,
+      "epoch": 0.7083678541839271,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.000427,
+      "loss": 6.5779,
+      "mean_token_accuracy": 0.10512799099087715,
+      "num_tokens": 1560231.0,
+      "step": 855
+    },
+    {
+      "entropy": 6.589151382446289,
+      "epoch": 0.7125103562551781,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004295,
+      "loss": 6.5346,
+      "mean_token_accuracy": 0.10532297939062119,
+      "num_tokens": 1569578.0,
+      "step": 860
+    },
+    {
+      "entropy": 6.563750839233398,
+      "epoch": 0.7166528583264291,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000432,
+      "loss": 6.4187,
+      "mean_token_accuracy": 0.11381370946764946,
+      "num_tokens": 1579308.0,
+      "step": 865
+    },
+    {
+      "entropy": 6.597287034988403,
+      "epoch": 0.7207953603976802,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004345,
+      "loss": 6.6081,
+      "mean_token_accuracy": 0.10267190784215927,
+      "num_tokens": 1589506.0,
+      "step": 870
+    },
+    {
+      "entropy": 6.482245397567749,
+      "epoch": 0.7249378624689312,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000437,
+      "loss": 6.3671,
+      "mean_token_accuracy": 0.11368186473846435,
+      "num_tokens": 1598127.0,
+      "step": 875
+    },
+    {
+      "entropy": 6.548954200744629,
+      "epoch": 0.7290803645401823,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004395,
+      "loss": 6.4125,
+      "mean_token_accuracy": 0.11406067088246345,
+      "num_tokens": 1608073.0,
+      "step": 880
+    },
+    {
+      "entropy": 6.551317119598389,
+      "epoch": 0.7332228666114333,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000442,
+      "loss": 6.4304,
+      "mean_token_accuracy": 0.11178040653467178,
+      "num_tokens": 1616272.0,
+      "step": 885
+    },
+    {
+      "entropy": 6.496135663986206,
+      "epoch": 0.7373653686826843,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004445,
+      "loss": 6.447,
+      "mean_token_accuracy": 0.10845504105091094,
+      "num_tokens": 1625577.0,
+      "step": 890
+    },
+    {
+      "entropy": 6.685812950134277,
+      "epoch": 0.7415078707539354,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000447,
+      "loss": 6.533,
+      "mean_token_accuracy": 0.10158233270049095,
+      "num_tokens": 1634902.0,
+      "step": 895
+    },
+    {
+      "entropy": 6.520436191558838,
+      "epoch": 0.7456503728251864,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00044950000000000003,
+      "loss": 6.4674,
+      "mean_token_accuracy": 0.10865833014249801,
+      "num_tokens": 1644131.0,
+      "step": 900
+    },
+    {
+      "entropy": 6.461379718780518,
+      "epoch": 0.7497928748964374,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00045200000000000004,
+      "loss": 6.3694,
+      "mean_token_accuracy": 0.12158194407820702,
+      "num_tokens": 1652272.0,
+      "step": 905
+    },
+    {
+      "entropy": 6.533070278167725,
+      "epoch": 0.7539353769676885,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00045450000000000004,
+      "loss": 6.4632,
+      "mean_token_accuracy": 0.11447574123740197,
+      "num_tokens": 1660962.0,
+      "step": 910
+    },
+    {
+      "entropy": 6.475569725036621,
+      "epoch": 0.7580778790389395,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045700000000000005,
+      "loss": 6.4006,
+      "mean_token_accuracy": 0.11205699220299721,
+      "num_tokens": 1670570.0,
+      "step": 915
+    },
+    {
+      "entropy": 6.526782608032226,
+      "epoch": 0.7622203811101905,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00045950000000000006,
+      "loss": 6.4497,
+      "mean_token_accuracy": 0.1096197433769703,
+      "num_tokens": 1679674.0,
+      "step": 920
+    },
+    {
+      "entropy": 6.530770015716553,
+      "epoch": 0.7663628831814416,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000462,
+      "loss": 6.4324,
+      "mean_token_accuracy": 0.11466658413410187,
+      "num_tokens": 1688849.0,
+      "step": 925
+    },
+    {
+      "entropy": 6.4163538932800295,
+      "epoch": 0.7705053852526926,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004645,
+      "loss": 6.3128,
+      "mean_token_accuracy": 0.1098814107477665,
+      "num_tokens": 1698565.0,
+      "step": 930
+    },
+    {
+      "entropy": 6.5036052703857425,
+      "epoch": 0.7746478873239436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000467,
+      "loss": 6.3986,
+      "mean_token_accuracy": 0.11683695837855339,
+      "num_tokens": 1708009.0,
+      "step": 935
+    },
+    {
+      "entropy": 6.518198871612549,
+      "epoch": 0.7787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004695,
+      "loss": 6.3878,
+      "mean_token_accuracy": 0.1126109592616558,
+      "num_tokens": 1716497.0,
+      "step": 940
+    },
+    {
+      "entropy": 6.415347719192505,
+      "epoch": 0.7829328914664457,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000472,
+      "loss": 6.4082,
+      "mean_token_accuracy": 0.12070046439766884,
+      "num_tokens": 1725609.0,
+      "step": 945
+    },
+    {
+      "entropy": 6.477306175231933,
+      "epoch": 0.7870753935376967,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004745,
+      "loss": 6.3456,
+      "mean_token_accuracy": 0.11454906165599824,
+      "num_tokens": 1734165.0,
+      "step": 950
+    },
+    {
+      "entropy": 6.454520893096924,
+      "epoch": 0.7912178956089478,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000477,
+      "loss": 6.4546,
+      "mean_token_accuracy": 0.10918105840682983,
+      "num_tokens": 1744856.0,
+      "step": 955
+    },
+    {
+      "entropy": 6.4711943626403805,
+      "epoch": 0.7953603976801988,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004795,
+      "loss": 6.4509,
+      "mean_token_accuracy": 0.10578904524445534,
+      "num_tokens": 1753386.0,
+      "step": 960
+    },
+    {
+      "entropy": 6.4536961078643795,
+      "epoch": 0.7995028997514498,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000482,
+      "loss": 6.3053,
+      "mean_token_accuracy": 0.11872726455330848,
+      "num_tokens": 1762521.0,
+      "step": 965
+    },
+    {
+      "entropy": 6.34936490058899,
+      "epoch": 0.8036454018227009,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004845,
+      "loss": 6.3765,
+      "mean_token_accuracy": 0.11444728896021843,
+      "num_tokens": 1772403.0,
+      "step": 970
+    },
+    {
+      "entropy": 6.375087881088257,
+      "epoch": 0.8077879038939519,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000487,
+      "loss": 6.2884,
+      "mean_token_accuracy": 0.11179185584187508,
+      "num_tokens": 1780924.0,
+      "step": 975
+    },
+    {
+      "entropy": 6.547906732559204,
+      "epoch": 0.8119304059652029,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004895,
+      "loss": 6.4367,
+      "mean_token_accuracy": 0.11225800514221192,
+      "num_tokens": 1789992.0,
+      "step": 980
+    },
+    {
+      "entropy": 6.421040678024292,
+      "epoch": 0.816072908036454,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000492,
+      "loss": 6.3919,
+      "mean_token_accuracy": 0.11761699616909027,
+      "num_tokens": 1799513.0,
+      "step": 985
+    },
+    {
+      "entropy": 6.332476711273193,
+      "epoch": 0.820215410107705,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0004945,
+      "loss": 6.2287,
+      "mean_token_accuracy": 0.11279567033052444,
+      "num_tokens": 1807393.0,
+      "step": 990
+    },
+    {
+      "entropy": 6.438618326187134,
+      "epoch": 0.824357912178956,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000497,
+      "loss": 6.5079,
+      "mean_token_accuracy": 0.10579989776015282,
+      "num_tokens": 1817284.0,
+      "step": 995
+    },
+    {
+      "entropy": 6.449818515777588,
+      "epoch": 0.8285004142502072,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004995,
+      "loss": 6.2996,
+      "mean_token_accuracy": 0.11799877136945724,
+      "num_tokens": 1825591.0,
+      "step": 1000
+    },
+    {
+      "epoch": 0.8285004142502072,
+      "eval_entropy": 6.222835092402216,
+      "eval_loss": 6.475013256072998,
+      "eval_mean_token_accuracy": 0.11269166863866961,
+      "eval_num_tokens": 1825591.0,
+      "eval_runtime": 2.7611,
+      "eval_samples_per_second": 1357.068,
+      "eval_steps_per_second": 169.86,
+      "step": 1000
+    },
+    {
+      "entropy": 6.457831478118896,
+      "epoch": 0.8326429163214581,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0004999998547681232,
+      "loss": 6.3959,
+      "mean_token_accuracy": 0.11798396334052086,
+      "num_tokens": 1834655.0,
+      "step": 1005
+    },
+    {
+      "entropy": 6.26599349975586,
+      "epoch": 0.8367854183927091,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004999992647639447,
+      "loss": 6.2578,
+      "mean_token_accuracy": 0.11858200430870056,
+      "num_tokens": 1844187.0,
+      "step": 1010
+    },
+    {
+      "entropy": 6.415271520614624,
+      "epoch": 0.8409279204639603,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999982209116618,
+      "loss": 6.3345,
+      "mean_token_accuracy": 0.11406200677156449,
+      "num_tokens": 1852768.0,
+      "step": 1015
+    },
+    {
+      "entropy": 6.355557584762574,
+      "epoch": 0.8450704225352113,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004999967232133796,
+      "loss": 6.3913,
+      "mean_token_accuracy": 0.12348653748631477,
+      "num_tokens": 1862095.0,
+      "step": 1020
+    },
+    {
+      "entropy": 6.427043008804321,
+      "epoch": 0.8492129246064622,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004999947716721196,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.10961534604430198,
+      "num_tokens": 1871239.0,
+      "step": 1025
+    },
+    {
+      "entropy": 6.509608554840088,
+      "epoch": 0.8533554266777134,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004999923662918179,
+      "loss": 6.4323,
+      "mean_token_accuracy": 0.11334251016378402,
+      "num_tokens": 1880065.0,
+      "step": 1030
+    },
+    {
+      "entropy": 6.417975521087646,
+      "epoch": 0.8574979287489644,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999895070773266,
+      "loss": 6.4608,
+      "mean_token_accuracy": 0.10985229611396789,
+      "num_tokens": 1889065.0,
+      "step": 1035
+    },
+    {
+      "entropy": 6.429206514358521,
+      "epoch": 0.8616404308202155,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999861940344129,
+      "loss": 6.4721,
+      "mean_token_accuracy": 0.11190373301506043,
+      "num_tokens": 1898238.0,
+      "step": 1040
+    },
+    {
+      "entropy": 6.462369585037232,
+      "epoch": 0.8657829328914665,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004999824271697597,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.12136606723070145,
+      "num_tokens": 1906780.0,
+      "step": 1045
+    },
+    {
+      "entropy": 6.506088638305664,
+      "epoch": 0.8699254349627175,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000499978206490965,
+      "loss": 6.4745,
+      "mean_token_accuracy": 0.11197563111782075,
+      "num_tokens": 1916183.0,
+      "step": 1050
+    },
+    {
+      "entropy": 6.427097368240356,
+      "epoch": 0.8740679370339686,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999735320065427,
+      "loss": 6.3371,
+      "mean_token_accuracy": 0.11927392706274986,
+      "num_tokens": 1925382.0,
+      "step": 1055
+    },
+    {
+      "entropy": 6.292429256439209,
+      "epoch": 0.8782104391052196,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999684037259216,
+      "loss": 6.1827,
+      "mean_token_accuracy": 0.1270924136042595,
+      "num_tokens": 1933639.0,
+      "step": 1060
+    },
+    {
+      "entropy": 6.3600146770477295,
+      "epoch": 0.8823529411764706,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999628216594456,
+      "loss": 6.464,
+      "mean_token_accuracy": 0.11409285366535186,
+      "num_tokens": 1943044.0,
+      "step": 1065
+    },
+    {
+      "entropy": 6.460871028900146,
+      "epoch": 0.8864954432477217,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000499956785818375,
+      "loss": 6.303,
+      "mean_token_accuracy": 0.11871922463178634,
+      "num_tokens": 1951777.0,
+      "step": 1070
+    },
+    {
+      "entropy": 6.376981210708618,
+      "epoch": 0.8906379453189727,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004999502962148843,
+      "loss": 6.3666,
+      "mean_token_accuracy": 0.1170460693538189,
+      "num_tokens": 1961356.0,
+      "step": 1075
+    },
+    {
+      "entropy": 6.439280414581299,
+      "epoch": 0.8947804473902237,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000499943352862064,
+      "loss": 6.4248,
+      "mean_token_accuracy": 0.11459407210350037,
+      "num_tokens": 1970341.0,
+      "step": 1080
+    },
+    {
+      "entropy": 6.394289827346801,
+      "epoch": 0.8989229494614748,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004999359557739194,
+      "loss": 6.2796,
+      "mean_token_accuracy": 0.12198276743292809,
+      "num_tokens": 1978576.0,
+      "step": 1085
+    },
+    {
+      "entropy": 6.319045782089233,
+      "epoch": 0.9030654515327258,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004999281049653713,
+      "loss": 6.3227,
+      "mean_token_accuracy": 0.11601013913750649,
+      "num_tokens": 1987229.0,
+      "step": 1090
+    },
+    {
+      "entropy": 6.376017141342163,
+      "epoch": 0.9072079536039768,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999198004522557,
+      "loss": 6.261,
+      "mean_token_accuracy": 0.12269015237689018,
+      "num_tokens": 1996473.0,
+      "step": 1095
+    },
+    {
+      "entropy": 6.2405853271484375,
+      "epoch": 0.9113504556752279,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999110422513237,
+      "loss": 6.286,
+      "mean_token_accuracy": 0.12056776732206345,
+      "num_tokens": 2005551.0,
+      "step": 1100
+    },
+    {
+      "entropy": 6.398191165924072,
+      "epoch": 0.9154929577464789,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999018303802414,
+      "loss": 6.3869,
+      "mean_token_accuracy": 0.11947718560695648,
+      "num_tokens": 2015012.0,
+      "step": 1105
+    },
+    {
+      "entropy": 6.374700450897217,
+      "epoch": 0.9196354598177299,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004998921648575904,
+      "loss": 6.3999,
+      "mean_token_accuracy": 0.1203969657421112,
+      "num_tokens": 2024435.0,
+      "step": 1110
+    },
+    {
+      "entropy": 6.380674362182617,
+      "epoch": 0.923777961888981,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004998820457028669,
+      "loss": 6.3005,
+      "mean_token_accuracy": 0.12089794874191284,
+      "num_tokens": 2033991.0,
+      "step": 1115
+    },
+    {
+      "entropy": 6.409522771835327,
+      "epoch": 0.927920463960232,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998714729364824,
+      "loss": 6.3017,
+      "mean_token_accuracy": 0.1228084571659565,
+      "num_tokens": 2043117.0,
+      "step": 1120
+    },
+    {
+      "entropy": 6.326260423660278,
+      "epoch": 0.932062966031483,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004998604465797634,
+      "loss": 6.3305,
+      "mean_token_accuracy": 0.11992078274488449,
+      "num_tokens": 2052304.0,
+      "step": 1125
+    },
+    {
+      "entropy": 6.251798295974732,
+      "epoch": 0.9362054681027341,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998489666549512,
+      "loss": 6.2779,
+      "mean_token_accuracy": 0.12114684730768203,
+      "num_tokens": 2061217.0,
+      "step": 1130
+    },
+    {
+      "entropy": 6.319644594192505,
+      "epoch": 0.9403479701739851,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.0004998370331852021,
+      "loss": 6.2517,
+      "mean_token_accuracy": 0.11879112273454666,
+      "num_tokens": 2070796.0,
+      "step": 1135
+    },
+    {
+      "entropy": 6.465651321411133,
+      "epoch": 0.9444904722452361,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004998246461945872,
+      "loss": 6.4037,
+      "mean_token_accuracy": 0.12191760018467904,
+      "num_tokens": 2080202.0,
+      "step": 1140
+    },
+    {
+      "entropy": 6.320812797546386,
+      "epoch": 0.9486329743164872,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004998118057080923,
+      "loss": 6.3045,
+      "mean_token_accuracy": 0.11891168132424354,
+      "num_tokens": 2089788.0,
+      "step": 1145
+    },
+    {
+      "entropy": 6.301202344894409,
+      "epoch": 0.9527754763877382,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004997985117516183,
+      "loss": 6.3462,
+      "mean_token_accuracy": 0.11142431199550629,
+      "num_tokens": 2098727.0,
+      "step": 1150
+    },
+    {
+      "entropy": 6.344118309020996,
+      "epoch": 0.9569179784589892,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997847643519803,
+      "loss": 6.226,
+      "mean_token_accuracy": 0.11924557387828827,
+      "num_tokens": 2107645.0,
+      "step": 1155
+    },
+    {
+      "entropy": 6.1790977954864506,
+      "epoch": 0.9610604805302403,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997705635369085,
+      "loss": 6.1991,
+      "mean_token_accuracy": 0.11988648250699044,
+      "num_tokens": 2116613.0,
+      "step": 1160
+    },
+    {
+      "entropy": 6.284418439865112,
+      "epoch": 0.9652029826014913,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004997559093350474,
+      "loss": 6.1881,
+      "mean_token_accuracy": 0.12116428092122078,
+      "num_tokens": 2125585.0,
+      "step": 1165
+    },
+    {
+      "entropy": 6.396596622467041,
+      "epoch": 0.9693454846727423,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004997408017759562,
+      "loss": 6.3359,
+      "mean_token_accuracy": 0.11936862170696258,
+      "num_tokens": 2134795.0,
+      "step": 1170
+    },
+    {
+      "entropy": 6.273751878738404,
+      "epoch": 0.9734879867439934,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004997252408901084,
+      "loss": 6.3271,
+      "mean_token_accuracy": 0.11899949684739113,
+      "num_tokens": 2143699.0,
+      "step": 1175
+    },
+    {
+      "entropy": 6.386678028106689,
+      "epoch": 0.9776304888152444,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004997092267088922,
+      "loss": 6.2707,
+      "mean_token_accuracy": 0.11861606612801552,
+      "num_tokens": 2152187.0,
+      "step": 1180
+    },
+    {
+      "entropy": 6.275117111206055,
+      "epoch": 0.9817729908864954,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004996927592646097,
+      "loss": 6.3412,
+      "mean_token_accuracy": 0.11767763197422028,
+      "num_tokens": 2160941.0,
+      "step": 1185
+    },
+    {
+      "entropy": 6.339710283279419,
+      "epoch": 0.9859154929577465,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004996758385904776,
+      "loss": 6.3119,
+      "mean_token_accuracy": 0.11789651140570641,
+      "num_tokens": 2168946.0,
+      "step": 1190
+    },
+    {
+      "entropy": 6.181374216079712,
+      "epoch": 0.9900579950289975,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004996584647206269,
+      "loss": 6.2237,
+      "mean_token_accuracy": 0.12055367529392243,
+      "num_tokens": 2177662.0,
+      "step": 1195
+    },
+    {
+      "entropy": 6.316773986816406,
+      "epoch": 0.9942004971002486,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004996406376901026,
+      "loss": 6.3268,
+      "mean_token_accuracy": 0.12757316455245019,
+      "num_tokens": 2187461.0,
+      "step": 1200
+    },
+    {
+      "entropy": 6.283385133743286,
+      "epoch": 0.9983429991714996,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004996223575348635,
+      "loss": 6.2207,
+      "mean_token_accuracy": 0.12578138560056687,
+      "num_tokens": 2196878.0,
+      "step": 1205
+    },
+    {
+      "entropy": 6.311019659042358,
+      "epoch": 1.0024855012427507,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004996036242917828,
+      "loss": 6.2021,
+      "mean_token_accuracy": 0.1151522897183895,
+      "num_tokens": 2206178.0,
+      "step": 1210
+    },
+    {
+      "entropy": 6.25421667098999,
+      "epoch": 1.0066280033140016,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004995844379986476,
+      "loss": 6.0526,
+      "mean_token_accuracy": 0.12476176023483276,
+      "num_tokens": 2215330.0,
+      "step": 1215
+    },
+    {
+      "entropy": 6.309921216964722,
+      "epoch": 1.0107705053852527,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004995647986941587,
+      "loss": 6.0354,
+      "mean_token_accuracy": 0.13005029112100602,
+      "num_tokens": 2224146.0,
+      "step": 1220
+    },
+    {
+      "entropy": 6.241363286972046,
+      "epoch": 1.0149130074565038,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004995447064179308,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13421598002314566,
+      "num_tokens": 2233646.0,
+      "step": 1225
+    },
+    {
+      "entropy": 6.058859920501709,
+      "epoch": 1.0190555095277547,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.000499524161210492,
+      "loss": 5.9379,
+      "mean_token_accuracy": 0.12560308948159218,
+      "num_tokens": 2243663.0,
+      "step": 1230
+    },
+    {
+      "entropy": 6.270004224777222,
+      "epoch": 1.0231980115990058,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004995031631132844,
+      "loss": 6.1035,
+      "mean_token_accuracy": 0.13170127123594283,
+      "num_tokens": 2252564.0,
+      "step": 1235
+    },
+    {
+      "entropy": 6.2710247993469235,
+      "epoch": 1.027340513670257,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004994817121686633,
+      "loss": 6.099,
+      "mean_token_accuracy": 0.12465815395116805,
+      "num_tokens": 2262504.0,
+      "step": 1240
+    },
+    {
+      "entropy": 6.193396997451782,
+      "epoch": 1.0314830157415078,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004994598084198979,
+      "loss": 5.9843,
+      "mean_token_accuracy": 0.1374910719692707,
+      "num_tokens": 2270553.0,
+      "step": 1245
+    },
+    {
+      "entropy": 6.136552810668945,
+      "epoch": 1.035625517812759,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004994374519111701,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.1272726461291313,
+      "num_tokens": 2279319.0,
+      "step": 1250
+    },
+    {
+      "entropy": 6.217378282546997,
+      "epoch": 1.03976801988401,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004994146426875757,
+      "loss": 6.123,
+      "mean_token_accuracy": 0.126935476064682,
+      "num_tokens": 2288749.0,
+      "step": 1255
+    },
+    {
+      "entropy": 6.218695068359375,
+      "epoch": 1.043910521955261,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004993913807951232,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.12562426924705505,
+      "num_tokens": 2298272.0,
+      "step": 1260
+    },
+    {
+      "entropy": 6.221994352340698,
+      "epoch": 1.048053024026512,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004993676662807345,
+      "loss": 6.047,
+      "mean_token_accuracy": 0.12884460240602494,
+      "num_tokens": 2307230.0,
+      "step": 1265
+    },
+    {
+      "entropy": 6.183428144454956,
+      "epoch": 1.0521955260977631,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004993434991922443,
+      "loss": 6.1317,
+      "mean_token_accuracy": 0.12460145726799965,
+      "num_tokens": 2316306.0,
+      "step": 1270
+    },
+    {
+      "entropy": 6.22090425491333,
+      "epoch": 1.056338028169014,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004993188795784002,
+      "loss": 6.0531,
+      "mean_token_accuracy": 0.1241947129368782,
+      "num_tokens": 2325672.0,
+      "step": 1275
+    },
+    {
+      "entropy": 6.1453857421875,
+      "epoch": 1.0604805302402651,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004992938074888628,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.1274007849395275,
+      "num_tokens": 2335251.0,
+      "step": 1280
+    },
+    {
+      "entropy": 6.180039167404175,
+      "epoch": 1.0646230323115162,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004992682829742052,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.1308726042509079,
+      "num_tokens": 2344054.0,
+      "step": 1285
+    },
+    {
+      "entropy": 6.086296463012696,
+      "epoch": 1.0687655343827671,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004992423060859132,
+      "loss": 6.0236,
+      "mean_token_accuracy": 0.127706591039896,
+      "num_tokens": 2353493.0,
+      "step": 1290
+    },
+    {
+      "entropy": 6.223158740997315,
+      "epoch": 1.0729080364540182,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004992158768763849,
+      "loss": 6.1321,
+      "mean_token_accuracy": 0.12850543335080147,
+      "num_tokens": 2362687.0,
+      "step": 1295
+    },
+    {
+      "entropy": 6.2506636619567875,
+      "epoch": 1.0770505385252693,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004991889953989308,
+      "loss": 6.0965,
+      "mean_token_accuracy": 0.12563316524028778,
+      "num_tokens": 2372325.0,
+      "step": 1300
+    },
+    {
+      "entropy": 6.173602199554443,
+      "epoch": 1.0811930405965202,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004991616617077741,
+      "loss": 6.12,
+      "mean_token_accuracy": 0.1287991665303707,
+      "num_tokens": 2381987.0,
+      "step": 1305
+    },
+    {
+      "entropy": 6.307486963272095,
+      "epoch": 1.0853355426677713,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004991338758580496,
+      "loss": 6.0234,
+      "mean_token_accuracy": 0.13178783878684044,
+      "num_tokens": 2390901.0,
+      "step": 1310
+    },
+    {
+      "entropy": 6.034789133071899,
+      "epoch": 1.0894780447390224,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004991056379058045,
+      "loss": 6.0813,
+      "mean_token_accuracy": 0.12450421676039695,
+      "num_tokens": 2400756.0,
+      "step": 1315
+    },
+    {
+      "entropy": 6.188017988204956,
+      "epoch": 1.0936205468102733,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004990769479079976,
+      "loss": 5.9232,
+      "mean_token_accuracy": 0.12984196096658707,
+      "num_tokens": 2409526.0,
+      "step": 1320
+    },
+    {
+      "entropy": 6.086554956436157,
+      "epoch": 1.0977630488815244,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004990478059225003,
+      "loss": 6.0931,
+      "mean_token_accuracy": 0.12972966134548186,
+      "num_tokens": 2419583.0,
+      "step": 1325
+    },
+    {
+      "entropy": 6.2457873821258545,
+      "epoch": 1.1019055509527755,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004990182120080945,
+      "loss": 6.0338,
+      "mean_token_accuracy": 0.12990806251764297,
+      "num_tokens": 2429439.0,
+      "step": 1330
+    },
+    {
+      "entropy": 6.078778219223023,
+      "epoch": 1.1060480530240264,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004989881662244748,
+      "loss": 6.0416,
+      "mean_token_accuracy": 0.12380676046013832,
+      "num_tokens": 2438467.0,
+      "step": 1335
+    },
+    {
+      "entropy": 6.138932418823242,
+      "epoch": 1.1101905550952775,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004989576686322468,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.1332716926932335,
+      "num_tokens": 2446619.0,
+      "step": 1340
+    },
+    {
+      "entropy": 6.1281578540802,
+      "epoch": 1.1143330571665286,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004989267192929272,
+      "loss": 6.0379,
+      "mean_token_accuracy": 0.12955363765358924,
+      "num_tokens": 2454998.0,
+      "step": 1345
+    },
+    {
+      "entropy": 6.09554443359375,
+      "epoch": 1.1184755592377795,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004988953182689445,
+      "loss": 6.0072,
+      "mean_token_accuracy": 0.13532012328505516,
+      "num_tokens": 2463497.0,
+      "step": 1350
+    },
+    {
+      "entropy": 6.134703922271728,
+      "epoch": 1.1226180613090306,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004988634656236378,
+      "loss": 5.9216,
+      "mean_token_accuracy": 0.13609320148825646,
+      "num_tokens": 2471763.0,
+      "step": 1355
+    },
+    {
+      "entropy": 6.145527791976929,
+      "epoch": 1.1267605633802817,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004988311614212576,
+      "loss": 6.0016,
+      "mean_token_accuracy": 0.1402701161801815,
+      "num_tokens": 2479949.0,
+      "step": 1360
+    },
+    {
+      "entropy": 6.116470623016357,
+      "epoch": 1.1309030654515326,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004987984057269648,
+      "loss": 6.0539,
+      "mean_token_accuracy": 0.13444141745567323,
+      "num_tokens": 2489097.0,
+      "step": 1365
+    },
+    {
+      "entropy": 5.972180604934692,
+      "epoch": 1.1350455675227837,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004987651986068311,
+      "loss": 5.8781,
+      "mean_token_accuracy": 0.13601028621196748,
+      "num_tokens": 2497625.0,
+      "step": 1370
+    },
+    {
+      "entropy": 6.143597984313965,
+      "epoch": 1.1391880695940348,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004987315401278394,
+      "loss": 6.1252,
+      "mean_token_accuracy": 0.1272761717438698,
+      "num_tokens": 2507107.0,
+      "step": 1375
+    },
+    {
+      "entropy": 6.286170959472656,
+      "epoch": 1.143330571665286,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004986974303578819,
+      "loss": 6.1408,
+      "mean_token_accuracy": 0.12348597794771195,
+      "num_tokens": 2516629.0,
+      "step": 1380
+    },
+    {
+      "entropy": 6.077923250198364,
+      "epoch": 1.1474730737365368,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004986628693657621,
+      "loss": 6.021,
+      "mean_token_accuracy": 0.1280151717364788,
+      "num_tokens": 2525924.0,
+      "step": 1385
+    },
+    {
+      "entropy": 6.229060649871826,
+      "epoch": 1.151615575807788,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004986278572211933,
+      "loss": 6.1723,
+      "mean_token_accuracy": 0.1280426375567913,
+      "num_tokens": 2535586.0,
+      "step": 1390
+    },
+    {
+      "entropy": 6.189875984191895,
+      "epoch": 1.1557580778790388,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004985923939947987,
+      "loss": 6.2595,
+      "mean_token_accuracy": 0.1247698113322258,
+      "num_tokens": 2546685.0,
+      "step": 1395
+    },
+    {
+      "entropy": 6.148470640182495,
+      "epoch": 1.15990057995029,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004985564797581115,
+      "loss": 5.9681,
+      "mean_token_accuracy": 0.12971177995204924,
+      "num_tokens": 2556873.0,
+      "step": 1400
+    },
+    {
+      "entropy": 6.143459701538086,
+      "epoch": 1.164043082021541,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004985201145835747,
+      "loss": 5.9836,
+      "mean_token_accuracy": 0.13127154856920242,
+      "num_tokens": 2565222.0,
+      "step": 1405
+    },
+    {
+      "entropy": 6.031957960128784,
+      "epoch": 1.1681855840927922,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.000498483298544541,
+      "loss": 5.9875,
+      "mean_token_accuracy": 0.13211632743477822,
+      "num_tokens": 2575467.0,
+      "step": 1410
+    },
+    {
+      "entropy": 6.136318731307983,
+      "epoch": 1.172328086164043,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000498446031715272,
+      "loss": 6.0125,
+      "mean_token_accuracy": 0.13508019223809242,
+      "num_tokens": 2583963.0,
+      "step": 1415
+    },
+    {
+      "entropy": 6.133963680267334,
+      "epoch": 1.1764705882352942,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004984083141709391,
+      "loss": 6.042,
+      "mean_token_accuracy": 0.13524071872234344,
+      "num_tokens": 2593350.0,
+      "step": 1420
+    },
+    {
+      "entropy": 5.975436115264893,
+      "epoch": 1.180613090306545,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000498370145987623,
+      "loss": 5.9652,
+      "mean_token_accuracy": 0.13682079091668128,
+      "num_tokens": 2602191.0,
+      "step": 1425
+    },
+    {
+      "entropy": 6.170718050003051,
+      "epoch": 1.1847555923777962,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004983315272423127,
+      "loss": 6.0999,
+      "mean_token_accuracy": 0.1291058838367462,
+      "num_tokens": 2613590.0,
+      "step": 1430
+    },
+    {
+      "entropy": 6.049332237243652,
+      "epoch": 1.1888980944490473,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004982924580129066,
+      "loss": 5.8895,
+      "mean_token_accuracy": 0.1340464949607849,
+      "num_tokens": 2622072.0,
+      "step": 1435
+    },
+    {
+      "entropy": 6.093293142318726,
+      "epoch": 1.1930405965202984,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004982529383782116,
+      "loss": 6.1012,
+      "mean_token_accuracy": 0.13022035285830497,
+      "num_tokens": 2630904.0,
+      "step": 1440
+    },
+    {
+      "entropy": 6.189996242523193,
+      "epoch": 1.1971830985915493,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004982129684179432,
+      "loss": 6.0594,
+      "mean_token_accuracy": 0.13088259026408194,
+      "num_tokens": 2639925.0,
+      "step": 1445
+    },
+    {
+      "entropy": 6.1187131881713865,
+      "epoch": 1.2013256006628004,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004981725482127251,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.13439981341362,
+      "num_tokens": 2649397.0,
+      "step": 1450
+    },
+    {
+      "entropy": 6.16315655708313,
+      "epoch": 1.2054681027340513,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004981316778440892,
+      "loss": 6.081,
+      "mean_token_accuracy": 0.13515593931078912,
+      "num_tokens": 2658877.0,
+      "step": 1455
+    },
+    {
+      "entropy": 6.063838720321655,
+      "epoch": 1.2096106048053024,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004980903573944756,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13121431767940522,
+      "num_tokens": 2668518.0,
+      "step": 1460
+    },
+    {
+      "entropy": 6.059180212020874,
+      "epoch": 1.2137531068765535,
+      "grad_norm": 1.0078125,
+      "learning_rate": 0.0004980485869472322,
+      "loss": 6.1148,
+      "mean_token_accuracy": 0.12996160089969636,
+      "num_tokens": 2677459.0,
+      "step": 1465
+    },
+    {
+      "entropy": 6.223527908325195,
+      "epoch": 1.2178956089478046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004980063665866143,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12482839822769165,
+      "num_tokens": 2686668.0,
+      "step": 1470
+    },
+    {
+      "entropy": 5.935272264480591,
+      "epoch": 1.2220381110190555,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004979636963977853,
+      "loss": 5.8825,
+      "mean_token_accuracy": 0.1352998949587345,
+      "num_tokens": 2695545.0,
+      "step": 1475
+    },
+    {
+      "entropy": 6.066101598739624,
+      "epoch": 1.2261806130903066,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004979205764668156,
+      "loss": 6.0569,
+      "mean_token_accuracy": 0.13228241056203843,
+      "num_tokens": 2705514.0,
+      "step": 1480
+    },
+    {
+      "entropy": 6.138315343856812,
+      "epoch": 1.2303231151615575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004978770068806825,
+      "loss": 5.9599,
+      "mean_token_accuracy": 0.13136665150523186,
+      "num_tokens": 2714373.0,
+      "step": 1485
+    },
+    {
+      "entropy": 6.061770391464234,
+      "epoch": 1.2344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.000497832987727271,
+      "loss": 6.0715,
+      "mean_token_accuracy": 0.1264137916266918,
+      "num_tokens": 2723887.0,
+      "step": 1490
+    },
+    {
+      "entropy": 6.061756038665772,
+      "epoch": 1.2386081193040597,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004977885190953724,
+      "loss": 5.956,
+      "mean_token_accuracy": 0.13353569880127908,
+      "num_tokens": 2733591.0,
+      "step": 1495
+    },
+    {
+      "entropy": 6.104292392730713,
+      "epoch": 1.2427506213753108,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004977436010746846,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.13720986992120743,
+      "num_tokens": 2741638.0,
+      "step": 1500
+    },
+    {
+      "epoch": 1.2427506213753108,
+      "eval_entropy": 6.029743814773397,
+      "eval_loss": 6.2611613273620605,
+      "eval_mean_token_accuracy": 0.12890694399219332,
+      "eval_num_tokens": 2741638.0,
+      "eval_runtime": 2.9518,
+      "eval_samples_per_second": 1269.399,
+      "eval_steps_per_second": 158.887,
+      "step": 1500
+    },
+    {
+      "entropy": 6.078821802139283,
+      "epoch": 1.2468931234465617,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004976982337558124,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13084649220108985,
+      "num_tokens": 2749711.0,
+      "step": 1505
+    },
+    {
+      "entropy": 6.094208097457885,
+      "epoch": 1.2510356255178128,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004976524172302665,
+      "loss": 6.121,
+      "mean_token_accuracy": 0.13192041367292404,
+      "num_tokens": 2758121.0,
+      "step": 1510
+    },
+    {
+      "entropy": 6.159745693206787,
+      "epoch": 1.2551781275890637,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004976061515904641,
+      "loss": 6.1181,
+      "mean_token_accuracy": 0.12667254582047463,
+      "num_tokens": 2766764.0,
+      "step": 1515
+    },
+    {
+      "entropy": 6.116680526733399,
+      "epoch": 1.2593206296603148,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004975594369297277,
+      "loss": 6.0557,
+      "mean_token_accuracy": 0.1348518520593643,
+      "num_tokens": 2775561.0,
+      "step": 1520
+    },
+    {
+      "entropy": 6.08063235282898,
+      "epoch": 1.2634631317315659,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004975122733422861,
+      "loss": 6.0201,
+      "mean_token_accuracy": 0.13085112273693084,
+      "num_tokens": 2784691.0,
+      "step": 1525
+    },
+    {
+      "entropy": 6.129113435745239,
+      "epoch": 1.267605633802817,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004974646609232732,
+      "loss": 5.9816,
+      "mean_token_accuracy": 0.13641836866736412,
+      "num_tokens": 2793893.0,
+      "step": 1530
+    },
+    {
+      "entropy": 6.108260202407837,
+      "epoch": 1.2717481358740679,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004974165997687288,
+      "loss": 6.0751,
+      "mean_token_accuracy": 0.13353196606040002,
+      "num_tokens": 2804479.0,
+      "step": 1535
+    },
+    {
+      "entropy": 6.16022138595581,
+      "epoch": 1.275890637945319,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004973680899755972,
+      "loss": 6.107,
+      "mean_token_accuracy": 0.1326654002070427,
+      "num_tokens": 2813966.0,
+      "step": 1540
+    },
+    {
+      "entropy": 6.007886743545532,
+      "epoch": 1.2800331400165699,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000497319131641728,
+      "loss": 5.9326,
+      "mean_token_accuracy": 0.13846119418740271,
+      "num_tokens": 2822328.0,
+      "step": 1545
+    },
+    {
+      "entropy": 6.003260755538941,
+      "epoch": 1.284175642087821,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004972697248658755,
+      "loss": 5.8899,
+      "mean_token_accuracy": 0.14066707715392113,
+      "num_tokens": 2829845.0,
+      "step": 1550
+    },
+    {
+      "entropy": 5.948832178115845,
+      "epoch": 1.288318144159072,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004972198697476987,
+      "loss": 5.8783,
+      "mean_token_accuracy": 0.13914238885045052,
+      "num_tokens": 2839040.0,
+      "step": 1555
+    },
+    {
+      "entropy": 5.961882209777832,
+      "epoch": 1.2924606462303232,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004971695663877607,
+      "loss": 5.9665,
+      "mean_token_accuracy": 0.13561231270432472,
+      "num_tokens": 2848574.0,
+      "step": 1560
+    },
+    {
+      "entropy": 6.077086877822876,
+      "epoch": 1.296603148301574,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004971188148875289,
+      "loss": 5.9421,
+      "mean_token_accuracy": 0.14444561377167703,
+      "num_tokens": 2856812.0,
+      "step": 1565
+    },
+    {
+      "entropy": 6.051652336120606,
+      "epoch": 1.3007456503728252,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004970676153493748,
+      "loss": 6.0283,
+      "mean_token_accuracy": 0.13189572617411613,
+      "num_tokens": 2866001.0,
+      "step": 1570
+    },
+    {
+      "entropy": 6.1068840503692625,
+      "epoch": 1.3048881524440763,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004970159678765731,
+      "loss": 6.0164,
+      "mean_token_accuracy": 0.13239546120166779,
+      "num_tokens": 2875181.0,
+      "step": 1575
+    },
+    {
+      "entropy": 6.049808597564697,
+      "epoch": 1.3090306545153272,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004969638725733028,
+      "loss": 5.9587,
+      "mean_token_accuracy": 0.13397156223654746,
+      "num_tokens": 2885103.0,
+      "step": 1580
+    },
+    {
+      "entropy": 5.92131872177124,
+      "epoch": 1.3131731565865783,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004969113295446455,
+      "loss": 5.9116,
+      "mean_token_accuracy": 0.1383065924048424,
+      "num_tokens": 2894055.0,
+      "step": 1585
+    },
+    {
+      "entropy": 6.116864538192749,
+      "epoch": 1.3173156586578294,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004968583388965863,
+      "loss": 5.9846,
+      "mean_token_accuracy": 0.133075200766325,
+      "num_tokens": 2903391.0,
+      "step": 1590
+    },
+    {
+      "entropy": 6.006745624542236,
+      "epoch": 1.3214581607290803,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004968049007360132,
+      "loss": 5.9854,
+      "mean_token_accuracy": 0.13297903537750244,
+      "num_tokens": 2911760.0,
+      "step": 1595
+    },
+    {
+      "entropy": 5.926331329345703,
+      "epoch": 1.3256006628003314,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004967510151707169,
+      "loss": 5.9369,
+      "mean_token_accuracy": 0.13469143435359002,
+      "num_tokens": 2920589.0,
+      "step": 1600
+    },
+    {
+      "entropy": 6.15295524597168,
+      "epoch": 1.3297431648715825,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004966966823093903,
+      "loss": 6.0746,
+      "mean_token_accuracy": 0.1302391268312931,
+      "num_tokens": 2929635.0,
+      "step": 1605
+    },
+    {
+      "entropy": 5.986531114578247,
+      "epoch": 1.3338856669428334,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004966419022616287,
+      "loss": 5.9349,
+      "mean_token_accuracy": 0.13593596145510672,
+      "num_tokens": 2938778.0,
+      "step": 1610
+    },
+    {
+      "entropy": 6.039755535125733,
+      "epoch": 1.3380281690140845,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004965866751379296,
+      "loss": 6.0503,
+      "mean_token_accuracy": 0.13109695687890052,
+      "num_tokens": 2947836.0,
+      "step": 1615
+    },
+    {
+      "entropy": 6.133180904388428,
+      "epoch": 1.3421706710853356,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004965310010496922,
+      "loss": 6.0032,
+      "mean_token_accuracy": 0.1280514419078827,
+      "num_tokens": 2957028.0,
+      "step": 1620
+    },
+    {
+      "entropy": 6.026159048080444,
+      "epoch": 1.3463131731565865,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004964748801092168,
+      "loss": 5.9571,
+      "mean_token_accuracy": 0.1338861681520939,
+      "num_tokens": 2966088.0,
+      "step": 1625
+    },
+    {
+      "entropy": 6.078959226608276,
+      "epoch": 1.3504556752278376,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004964183124297059,
+      "loss": 6.0438,
+      "mean_token_accuracy": 0.13178688064217567,
+      "num_tokens": 2975271.0,
+      "step": 1630
+    },
+    {
+      "entropy": 5.992210865020752,
+      "epoch": 1.3545981772990887,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004963612981252625,
+      "loss": 6.0524,
+      "mean_token_accuracy": 0.1321226365864277,
+      "num_tokens": 2983799.0,
+      "step": 1635
+    },
+    {
+      "entropy": 6.056794929504394,
+      "epoch": 1.3587406793703396,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004963038373108908,
+      "loss": 6.0179,
+      "mean_token_accuracy": 0.13609340488910676,
+      "num_tokens": 2992675.0,
+      "step": 1640
+    },
+    {
+      "entropy": 6.155933427810669,
+      "epoch": 1.3628831814415907,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004962459301024954,
+      "loss": 6.0838,
+      "mean_token_accuracy": 0.13211635649204254,
+      "num_tokens": 3002483.0,
+      "step": 1645
+    },
+    {
+      "entropy": 6.027872896194458,
+      "epoch": 1.3670256835128418,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004961875766168816,
+      "loss": 5.985,
+      "mean_token_accuracy": 0.13883458971977233,
+      "num_tokens": 3010611.0,
+      "step": 1650
+    },
+    {
+      "entropy": 6.057289028167725,
+      "epoch": 1.371168185584093,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004961287769717547,
+      "loss": 5.9397,
+      "mean_token_accuracy": 0.13197456523776055,
+      "num_tokens": 3019928.0,
+      "step": 1655
+    },
+    {
+      "entropy": 5.9325989246368405,
+      "epoch": 1.3753106876553438,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004960695312857199,
+      "loss": 5.9279,
+      "mean_token_accuracy": 0.13408055454492568,
+      "num_tokens": 3029003.0,
+      "step": 1660
+    },
+    {
+      "entropy": 6.0389604568481445,
+      "epoch": 1.379453189726595,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004960098396782824,
+      "loss": 5.9464,
+      "mean_token_accuracy": 0.1375861033797264,
+      "num_tokens": 3038049.0,
+      "step": 1665
+    },
+    {
+      "entropy": 5.969662141799927,
+      "epoch": 1.3835956917978458,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004959497022698466,
+      "loss": 5.9515,
+      "mean_token_accuracy": 0.14408120438456534,
+      "num_tokens": 3046674.0,
+      "step": 1670
+    },
+    {
+      "entropy": 6.0561059474945065,
+      "epoch": 1.387738193869097,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004958891191817163,
+      "loss": 5.9927,
+      "mean_token_accuracy": 0.12801324650645257,
+      "num_tokens": 3056459.0,
+      "step": 1675
+    },
+    {
+      "entropy": 6.032327270507812,
+      "epoch": 1.391880695940348,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000495828090536094,
+      "loss": 5.9845,
+      "mean_token_accuracy": 0.13036760538816453,
+      "num_tokens": 3066294.0,
+      "step": 1680
+    },
+    {
+      "entropy": 6.0512574195861815,
+      "epoch": 1.3960231980115991,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004957666164560815,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13139644563198088,
+      "num_tokens": 3075420.0,
+      "step": 1685
+    },
+    {
+      "entropy": 6.063203239440918,
+      "epoch": 1.40016570008285,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004957046970656784,
+      "loss": 6.0385,
+      "mean_token_accuracy": 0.13581736162304878,
+      "num_tokens": 3084373.0,
+      "step": 1690
+    },
+    {
+      "entropy": 6.00097541809082,
+      "epoch": 1.4043082021541011,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004956423324897831,
+      "loss": 6.0257,
+      "mean_token_accuracy": 0.13937310948967935,
+      "num_tokens": 3094212.0,
+      "step": 1695
+    },
+    {
+      "entropy": 6.043115425109863,
+      "epoch": 1.408450704225352,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004955795228541917,
+      "loss": 5.9589,
+      "mean_token_accuracy": 0.14452596232295037,
+      "num_tokens": 3102769.0,
+      "step": 1700
+    },
+    {
+      "entropy": 6.040110731124878,
+      "epoch": 1.4125932062966031,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000495516268285598,
+      "loss": 5.9805,
+      "mean_token_accuracy": 0.13440805301070213,
+      "num_tokens": 3111465.0,
+      "step": 1705
+    },
+    {
+      "entropy": 5.978239822387695,
+      "epoch": 1.4167357083678542,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004954525689115935,
+      "loss": 5.9177,
+      "mean_token_accuracy": 0.13326097056269645,
+      "num_tokens": 3121106.0,
+      "step": 1710
+    },
+    {
+      "entropy": 6.007881164550781,
+      "epoch": 1.4208782104391053,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004953884248606669,
+      "loss": 5.945,
+      "mean_token_accuracy": 0.14831372052431108,
+      "num_tokens": 3130662.0,
+      "step": 1715
+    },
+    {
+      "entropy": 5.97642674446106,
+      "epoch": 1.4250207125103562,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004953238362622034,
+      "loss": 5.9812,
+      "mean_token_accuracy": 0.13328263983130456,
+      "num_tokens": 3139538.0,
+      "step": 1720
+    },
+    {
+      "entropy": 6.0256367206573485,
+      "epoch": 1.4291632145816073,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004952588032464855,
+      "loss": 6.0298,
+      "mean_token_accuracy": 0.12707214802503586,
+      "num_tokens": 3148552.0,
+      "step": 1725
+    },
+    {
+      "entropy": 5.996851205825806,
+      "epoch": 1.4333057166528582,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004951933259446919,
+      "loss": 5.9365,
+      "mean_token_accuracy": 0.14197203740477563,
+      "num_tokens": 3156549.0,
+      "step": 1730
+    },
+    {
+      "entropy": 6.114988136291504,
+      "epoch": 1.4374482187241093,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004951274044888975,
+      "loss": 6.1006,
+      "mean_token_accuracy": 0.12147112190723419,
+      "num_tokens": 3166821.0,
+      "step": 1735
+    },
+    {
+      "entropy": 5.960144329071045,
+      "epoch": 1.4415907207953604,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004950610390120731,
+      "loss": 5.9848,
+      "mean_token_accuracy": 0.135729306191206,
+      "num_tokens": 3174962.0,
+      "step": 1740
+    },
+    {
+      "entropy": 6.087535095214844,
+      "epoch": 1.4457332228666115,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000494994229648085,
+      "loss": 5.8903,
+      "mean_token_accuracy": 0.13537728488445283,
+      "num_tokens": 3184027.0,
+      "step": 1745
+    },
+    {
+      "entropy": 5.957475805282593,
+      "epoch": 1.4498757249378624,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004949269765316948,
+      "loss": 6.0321,
+      "mean_token_accuracy": 0.13071285635232927,
+      "num_tokens": 3193186.0,
+      "step": 1750
+    },
+    {
+      "entropy": 6.171153354644775,
+      "epoch": 1.4540182270091135,
+      "grad_norm": 2.140625,
+      "learning_rate": 0.0004948592797985599,
+      "loss": 6.0525,
+      "mean_token_accuracy": 0.13555259853601456,
+      "num_tokens": 3202676.0,
+      "step": 1755
+    },
+    {
+      "entropy": 6.123908805847168,
+      "epoch": 1.4581607290803644,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947911395852317,
+      "loss": 6.1524,
+      "mean_token_accuracy": 0.1352410912513733,
+      "num_tokens": 3211950.0,
+      "step": 1760
+    },
+    {
+      "entropy": 6.120599699020386,
+      "epoch": 1.4623032311516155,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947225560291565,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12961760386824608,
+      "num_tokens": 3221135.0,
+      "step": 1765
+    },
+    {
+      "entropy": 5.962483358383179,
+      "epoch": 1.4664457332228666,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004946535292686746,
+      "loss": 5.8975,
+      "mean_token_accuracy": 0.13825839310884475,
+      "num_tokens": 3230174.0,
+      "step": 1770
+    },
+    {
+      "entropy": 5.979943370819091,
+      "epoch": 1.4705882352941178,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004945840594430209,
+      "loss": 5.8871,
+      "mean_token_accuracy": 0.1381668671965599,
+      "num_tokens": 3238898.0,
+      "step": 1775
+    },
+    {
+      "entropy": 5.973515844345092,
+      "epoch": 1.4747307373653686,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004945141466923235,
+      "loss": 5.9292,
+      "mean_token_accuracy": 0.14479121565818787,
+      "num_tokens": 3247550.0,
+      "step": 1780
+    },
+    {
+      "entropy": 6.113377714157105,
+      "epoch": 1.4788732394366197,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004944437911576041,
+      "loss": 6.0779,
+      "mean_token_accuracy": 0.12900342419743538,
+      "num_tokens": 3256810.0,
+      "step": 1785
+    },
+    {
+      "entropy": 5.9020613670349125,
+      "epoch": 1.4830157415078706,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004943729929807772,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.139550269395113,
+      "num_tokens": 3265886.0,
+      "step": 1790
+    },
+    {
+      "entropy": 6.06021089553833,
+      "epoch": 1.4871582435791217,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004943017523046507,
+      "loss": 5.9273,
+      "mean_token_accuracy": 0.137468421459198,
+      "num_tokens": 3274522.0,
+      "step": 1795
+    },
+    {
+      "entropy": 6.027210426330567,
+      "epoch": 1.4913007456503728,
+      "grad_norm": 1.25,
+      "learning_rate": 0.000494230069272925,
+      "loss": 6.0486,
+      "mean_token_accuracy": 0.13558472618460654,
+      "num_tokens": 3283388.0,
+      "step": 1800
+    },
+    {
+      "entropy": 5.989331531524658,
+      "epoch": 1.495443247721624,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004941579440301923,
+      "loss": 5.9224,
+      "mean_token_accuracy": 0.1305856943130493,
+      "num_tokens": 3291887.0,
+      "step": 1805
+    },
+    {
+      "entropy": 5.96136965751648,
+      "epoch": 1.4995857497928748,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940853767219372,
+      "loss": 5.9685,
+      "mean_token_accuracy": 0.13564062863588333,
+      "num_tokens": 3300674.0,
+      "step": 1810
+    },
+    {
+      "entropy": 5.9364429950714115,
+      "epoch": 1.503728251864126,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940123674945359,
+      "loss": 5.8311,
+      "mean_token_accuracy": 0.13808463513851166,
+      "num_tokens": 3309745.0,
+      "step": 1815
+    },
+    {
+      "entropy": 6.076629638671875,
+      "epoch": 1.5078707539353768,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004939389164952561,
+      "loss": 5.9722,
+      "mean_token_accuracy": 0.1378110609948635,
+      "num_tokens": 3318888.0,
+      "step": 1820
+    },
+    {
+      "entropy": 5.8970863819122314,
+      "epoch": 1.512013256006628,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004938650238722564,
+      "loss": 5.9296,
+      "mean_token_accuracy": 0.13823849260807036,
+      "num_tokens": 3328274.0,
+      "step": 1825
+    },
+    {
+      "entropy": 6.003948831558228,
+      "epoch": 1.516155758077879,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004937906897745861,
+      "loss": 5.9387,
+      "mean_token_accuracy": 0.1468382939696312,
+      "num_tokens": 3337579.0,
+      "step": 1830
+    },
+    {
+      "entropy": 6.045965003967285,
+      "epoch": 1.5202982601491302,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004937159143521856,
+      "loss": 5.9081,
+      "mean_token_accuracy": 0.14555162489414214,
+      "num_tokens": 3346262.0,
+      "step": 1835
+    },
+    {
+      "entropy": 5.972390079498291,
+      "epoch": 1.5244407622203813,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004936406977558847,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.13030771315097808,
+      "num_tokens": 3354833.0,
+      "step": 1840
+    },
+    {
+      "entropy": 6.051387977600098,
+      "epoch": 1.5285832642916322,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004935650401374039,
+      "loss": 6.0906,
+      "mean_token_accuracy": 0.14119647368788718,
+      "num_tokens": 3364314.0,
+      "step": 1845
+    },
+    {
+      "entropy": 6.046140813827515,
+      "epoch": 1.532725766362883,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004934889416493524,
+      "loss": 5.9157,
+      "mean_token_accuracy": 0.13524662256240844,
+      "num_tokens": 3373648.0,
+      "step": 1850
+    },
+    {
+      "entropy": 5.863892507553101,
+      "epoch": 1.5368682684341342,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004934124024452295,
+      "loss": 5.7869,
+      "mean_token_accuracy": 0.1471114367246628,
+      "num_tokens": 3382919.0,
+      "step": 1855
+    },
+    {
+      "entropy": 5.888700532913208,
+      "epoch": 1.5410107705053853,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004933354226794232,
+      "loss": 5.9383,
+      "mean_token_accuracy": 0.1432707317173481,
+      "num_tokens": 3391814.0,
+      "step": 1860
+    },
+    {
+      "entropy": 6.080925798416137,
+      "epoch": 1.5451532725766364,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004932580025072098,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.13580586463212968,
+      "num_tokens": 3400392.0,
+      "step": 1865
+    },
+    {
+      "entropy": 5.996384525299073,
+      "epoch": 1.5492957746478875,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004931801420847545,
+      "loss": 6.036,
+      "mean_token_accuracy": 0.13089759424328803,
+      "num_tokens": 3410430.0,
+      "step": 1870
+    },
+    {
+      "entropy": 5.932257795333863,
+      "epoch": 1.5534382767191384,
+      "grad_norm": 0.9609375,
+      "learning_rate": 0.0004931018415691102,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.13694921880960464,
+      "num_tokens": 3420654.0,
+      "step": 1875
+    },
+    {
+      "entropy": 5.951343011856079,
+      "epoch": 1.5575807787903893,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004930231011182176,
+      "loss": 5.9986,
+      "mean_token_accuracy": 0.13937177062034606,
+      "num_tokens": 3430514.0,
+      "step": 1880
+    },
+    {
+      "entropy": 6.071512508392334,
+      "epoch": 1.5617232808616404,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004929439208909048,
+      "loss": 5.9331,
+      "mean_token_accuracy": 0.1375361390411854,
+      "num_tokens": 3439551.0,
+      "step": 1885
+    },
+    {
+      "entropy": 5.902947330474854,
+      "epoch": 1.5658657829328915,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004928643010468869,
+      "loss": 5.8911,
+      "mean_token_accuracy": 0.13622887432575226,
+      "num_tokens": 3448160.0,
+      "step": 1890
+    },
+    {
+      "entropy": 5.993059539794922,
+      "epoch": 1.5700082850041426,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004927842417467659,
+      "loss": 5.9517,
+      "mean_token_accuracy": 0.14548188596963882,
+      "num_tokens": 3457296.0,
+      "step": 1895
+    },
+    {
+      "entropy": 6.027637386322022,
+      "epoch": 1.5741507870753937,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004927037431520302,
+      "loss": 5.9073,
+      "mean_token_accuracy": 0.14102519080042838,
+      "num_tokens": 3466108.0,
+      "step": 1900
+    },
+    {
+      "entropy": 5.975209665298462,
+      "epoch": 1.5782932891466446,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004926228054250541,
+      "loss": 5.9941,
+      "mean_token_accuracy": 0.14009249955415726,
+      "num_tokens": 3475336.0,
+      "step": 1905
+    },
+    {
+      "entropy": 6.073916673660278,
+      "epoch": 1.5824357912178955,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004925414287290979,
+      "loss": 5.9668,
+      "mean_token_accuracy": 0.13723743334412575,
+      "num_tokens": 3483963.0,
+      "step": 1910
+    },
+    {
+      "entropy": 5.848618030548096,
+      "epoch": 1.5865782932891466,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004924596132283075,
+      "loss": 5.8765,
+      "mean_token_accuracy": 0.14485997408628465,
+      "num_tokens": 3492947.0,
+      "step": 1915
+    },
+    {
+      "entropy": 5.966853284835816,
+      "epoch": 1.5907207953603977,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004923773590877135,
+      "loss": 5.9651,
+      "mean_token_accuracy": 0.13334692791104316,
+      "num_tokens": 3501877.0,
+      "step": 1920
+    },
+    {
+      "entropy": 6.042904996871949,
+      "epoch": 1.5948632974316488,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004922946664732314,
+      "loss": 6.0304,
+      "mean_token_accuracy": 0.13204361274838447,
+      "num_tokens": 3510610.0,
+      "step": 1925
+    },
+    {
+      "entropy": 6.0583656311035154,
+      "epoch": 1.5990057995029,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004922115355516615,
+      "loss": 5.9841,
+      "mean_token_accuracy": 0.13304307833313941,
+      "num_tokens": 3519829.0,
+      "step": 1930
+    },
+    {
+      "entropy": 6.015839862823486,
+      "epoch": 1.6031483015741508,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004921279664906877,
+      "loss": 5.9661,
+      "mean_token_accuracy": 0.13071200698614122,
+      "num_tokens": 3529408.0,
+      "step": 1935
+    },
+    {
+      "entropy": 5.924501991271972,
+      "epoch": 1.6072908036454017,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004920439594588781,
+      "loss": 5.8955,
+      "mean_token_accuracy": 0.14675913602113724,
+      "num_tokens": 3538068.0,
+      "step": 1940
+    },
+    {
+      "entropy": 6.051935148239136,
+      "epoch": 1.6114333057166528,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000491959514625684,
+      "loss": 6.0177,
+      "mean_token_accuracy": 0.13845598921179772,
+      "num_tokens": 3547302.0,
+      "step": 1945
+    },
+    {
+      "entropy": 5.956210565567017,
+      "epoch": 1.6155758077879039,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00049187463216144,
+      "loss": 5.9024,
+      "mean_token_accuracy": 0.145584287494421,
+      "num_tokens": 3556087.0,
+      "step": 1950
+    },
+    {
+      "entropy": 6.046857452392578,
+      "epoch": 1.619718309859155,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.000491789312237363,
+      "loss": 5.9857,
+      "mean_token_accuracy": 0.13579782098531723,
+      "num_tokens": 3566235.0,
+      "step": 1955
+    },
+    {
+      "entropy": 5.983897924423218,
+      "epoch": 1.623860811930406,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004917035550255528,
+      "loss": 5.899,
+      "mean_token_accuracy": 0.14092317298054696,
+      "num_tokens": 3574762.0,
+      "step": 1960
+    },
+    {
+      "entropy": 5.904513597488403,
+      "epoch": 1.628003314001657,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000491617360698991,
+      "loss": 5.8837,
+      "mean_token_accuracy": 0.139695380628109,
+      "num_tokens": 3583359.0,
+      "step": 1965
+    },
+    {
+      "entropy": 5.920687866210938,
+      "epoch": 1.6321458160729079,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004915307294315412,
+      "loss": 5.8505,
+      "mean_token_accuracy": 0.14011457338929176,
+      "num_tokens": 3591436.0,
+      "step": 1970
+    },
+    {
+      "entropy": 5.926318550109864,
+      "epoch": 1.636288318144159,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.000491443661397948,
+      "loss": 5.9355,
+      "mean_token_accuracy": 0.13468224480748175,
+      "num_tokens": 3601054.0,
+      "step": 1975
+    },
+    {
+      "entropy": 5.974443817138672,
+      "epoch": 1.64043082021541,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004913561567738368,
+      "loss": 5.9014,
+      "mean_token_accuracy": 0.1383673779666424,
+      "num_tokens": 3610641.0,
+      "step": 1980
+    },
+    {
+      "entropy": 5.912512636184692,
+      "epoch": 1.6445733222866612,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004912682157357146,
+      "loss": 5.8447,
+      "mean_token_accuracy": 0.13975749984383584,
+      "num_tokens": 3619351.0,
+      "step": 1985
+    },
+    {
+      "entropy": 5.853101539611816,
+      "epoch": 1.6487158243579123,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004911798384609675,
+      "loss": 5.8306,
+      "mean_token_accuracy": 0.1472959376871586,
+      "num_tokens": 3627341.0,
+      "step": 1990
+    },
+    {
+      "entropy": 5.942045879364014,
+      "epoch": 1.6528583264291632,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004910910251278626,
+      "loss": 5.8918,
+      "mean_token_accuracy": 0.14801610112190247,
+      "num_tokens": 3637132.0,
+      "step": 1995
+    },
+    {
+      "entropy": 5.919465351104736,
+      "epoch": 1.6570008285004143,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004910017759155458,
+      "loss": 5.9479,
+      "mean_token_accuracy": 0.1400071859359741,
+      "num_tokens": 3646196.0,
+      "step": 2000
+    },
+    {
+      "epoch": 1.6570008285004143,
+      "eval_entropy": 5.874394122979789,
+      "eval_loss": 6.1148576736450195,
+      "eval_mean_token_accuracy": 0.1363023624046525,
+      "eval_num_tokens": 3646196.0,
+      "eval_runtime": 2.7574,
+      "eval_samples_per_second": 1358.871,
+      "eval_steps_per_second": 170.085,
+      "step": 2000
+    },
+    {
+      "entropy": 5.967284250259399,
+      "epoch": 1.6611433305716652,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004909120910040427,
+      "loss": 5.8839,
+      "mean_token_accuracy": 0.1461731344461441,
+      "num_tokens": 3654658.0,
+      "step": 2005
+    },
+    {
+      "entropy": 6.045904684066772,
+      "epoch": 1.6652858326429163,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004908219705742574,
+      "loss": 6.1605,
+      "mean_token_accuracy": 0.13489469960331918,
+      "num_tokens": 3664509.0,
+      "step": 2010
+    },
+    {
+      "entropy": 6.002130031585693,
+      "epoch": 1.6694283347141674,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004907314148079727,
+      "loss": 5.8567,
+      "mean_token_accuracy": 0.1425239197909832,
+      "num_tokens": 3672983.0,
+      "step": 2015
+    },
+    {
+      "entropy": 5.708412790298462,
+      "epoch": 1.6735708367854185,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004906404238878496,
+      "loss": 5.7221,
+      "mean_token_accuracy": 0.14639501571655272,
+      "num_tokens": 3681196.0,
+      "step": 2020
+    },
+    {
+      "entropy": 5.97982873916626,
+      "epoch": 1.6777133388566694,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004905489979974265,
+      "loss": 5.9098,
+      "mean_token_accuracy": 0.14081615954637527,
+      "num_tokens": 3690077.0,
+      "step": 2025
+    },
+    {
+      "entropy": 5.942774772644043,
+      "epoch": 1.6818558409279205,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004904571373211197,
+      "loss": 5.9906,
+      "mean_token_accuracy": 0.13563016131520272,
+      "num_tokens": 3700121.0,
+      "step": 2030
+    },
+    {
+      "entropy": 5.897730588912964,
+      "epoch": 1.6859983429991714,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000490364842044222,
+      "loss": 5.8074,
+      "mean_token_accuracy": 0.14530285224318504,
+      "num_tokens": 3709618.0,
+      "step": 2035
+    },
+    {
+      "entropy": 5.954602289199829,
+      "epoch": 1.6901408450704225,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004902721123529031,
+      "loss": 5.9869,
+      "mean_token_accuracy": 0.12953415215015412,
+      "num_tokens": 3719570.0,
+      "step": 2040
+    },
+    {
+      "entropy": 6.074023342132568,
+      "epoch": 1.6942833471416736,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000490178948434209,
+      "loss": 5.9267,
+      "mean_token_accuracy": 0.14249598532915114,
+      "num_tokens": 3729354.0,
+      "step": 2045
+    },
+    {
+      "entropy": 5.833365964889526,
+      "epoch": 1.6984258492129247,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004900853504760614,
+      "loss": 5.8409,
+      "mean_token_accuracy": 0.14450331926345825,
+      "num_tokens": 3738453.0,
+      "step": 2050
+    },
+    {
+      "entropy": 5.888468265533447,
+      "epoch": 1.7025683512841756,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004899913186672577,
+      "loss": 5.8165,
+      "mean_token_accuracy": 0.14293194860219954,
+      "num_tokens": 3747815.0,
+      "step": 2055
+    },
+    {
+      "entropy": 5.914711236953735,
+      "epoch": 1.7067108533554267,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004898968531974702,
+      "loss": 5.9249,
+      "mean_token_accuracy": 0.14642315953969956,
+      "num_tokens": 3757298.0,
+      "step": 2060
+    },
+    {
+      "entropy": 5.978992033004761,
+      "epoch": 1.7108533554266776,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004898019542572462,
+      "loss": 5.9124,
+      "mean_token_accuracy": 0.14719650894403458,
+      "num_tokens": 3765939.0,
+      "step": 2065
+    },
+    {
+      "entropy": 6.005469894409179,
+      "epoch": 1.7149958574979287,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004897066220380073,
+      "loss": 5.933,
+      "mean_token_accuracy": 0.13779435828328132,
+      "num_tokens": 3775160.0,
+      "step": 2070
+    },
+    {
+      "entropy": 5.921374797821045,
+      "epoch": 1.7191383595691798,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004896108567320489,
+      "loss": 5.831,
+      "mean_token_accuracy": 0.14186858981847764,
+      "num_tokens": 3785181.0,
+      "step": 2075
+    },
+    {
+      "entropy": 5.972924375534058,
+      "epoch": 1.723280861640431,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048951465853254,
+      "loss": 5.9444,
+      "mean_token_accuracy": 0.14323145076632499,
+      "num_tokens": 3794531.0,
+      "step": 2080
+    },
+    {
+      "entropy": 5.953138160705566,
+      "epoch": 1.7274233637116818,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004894180276335231,
+      "loss": 5.934,
+      "mean_token_accuracy": 0.1396125227212906,
+      "num_tokens": 3804602.0,
+      "step": 2085
+    },
+    {
+      "entropy": 5.9721667766571045,
+      "epoch": 1.731565865782933,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004893209642299132,
+      "loss": 5.97,
+      "mean_token_accuracy": 0.1395590640604496,
+      "num_tokens": 3813394.0,
+      "step": 2090
+    },
+    {
+      "entropy": 5.97849326133728,
+      "epoch": 1.7357083678541838,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004892234685174976,
+      "loss": 5.962,
+      "mean_token_accuracy": 0.13808128908276557,
+      "num_tokens": 3821604.0,
+      "step": 2095
+    },
+    {
+      "entropy": 5.967495775222778,
+      "epoch": 1.739850869925435,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004891255406929359,
+      "loss": 5.9564,
+      "mean_token_accuracy": 0.13652343899011612,
+      "num_tokens": 3831977.0,
+      "step": 2100
+    },
+    {
+      "entropy": 5.98737063407898,
+      "epoch": 1.743993371996686,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004890271809537595,
+      "loss": 5.9017,
+      "mean_token_accuracy": 0.1393343411386013,
+      "num_tokens": 3840684.0,
+      "step": 2105
+    },
+    {
+      "entropy": 5.870862340927124,
+      "epoch": 1.7481358740679371,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004889283894983704,
+      "loss": 5.8147,
+      "mean_token_accuracy": 0.1389534741640091,
+      "num_tokens": 3851147.0,
+      "step": 2110
+    },
+    {
+      "entropy": 6.002704238891601,
+      "epoch": 1.752278376139188,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000488829166526042,
+      "loss": 5.9838,
+      "mean_token_accuracy": 0.13991605415940284,
+      "num_tokens": 3859881.0,
+      "step": 2115
+    },
+    {
+      "entropy": 5.948231506347656,
+      "epoch": 1.7564208782104391,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004887295122369176,
+      "loss": 6.0107,
+      "mean_token_accuracy": 0.13371825441718102,
+      "num_tokens": 3870151.0,
+      "step": 2120
+    },
+    {
+      "entropy": 5.99525203704834,
+      "epoch": 1.76056338028169,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.000488629426832011,
+      "loss": 5.9313,
+      "mean_token_accuracy": 0.13850879445672035,
+      "num_tokens": 3878398.0,
+      "step": 2125
+    },
+    {
+      "entropy": 5.924004030227661,
+      "epoch": 1.7647058823529411,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004885289105132054,
+      "loss": 5.8893,
+      "mean_token_accuracy": 0.14114601090550422,
+      "num_tokens": 3888007.0,
+      "step": 2130
+    },
+    {
+      "entropy": 5.930246257781983,
+      "epoch": 1.7688483844241922,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004884279634832532,
+      "loss": 5.8728,
+      "mean_token_accuracy": 0.14278061985969542,
+      "num_tokens": 3896945.0,
+      "step": 2135
+    },
+    {
+      "entropy": 5.940092372894287,
+      "epoch": 1.7729908864954433,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004883265859457754,
+      "loss": 5.8905,
+      "mean_token_accuracy": 0.1457919418811798,
+      "num_tokens": 3906049.0,
+      "step": 2140
+    },
+    {
+      "entropy": 5.866062164306641,
+      "epoch": 1.7771333885666944,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048822477810526186,
+      "loss": 5.8422,
+      "mean_token_accuracy": 0.1388966679573059,
+      "num_tokens": 3915050.0,
+      "step": 2145
+    },
+    {
+      "entropy": 5.966696119308471,
+      "epoch": 1.7812758906379453,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00048812254016706994,
+      "loss": 5.9205,
+      "mean_token_accuracy": 0.14728582575917243,
+      "num_tokens": 3924031.0,
+      "step": 2150
+    },
+    {
+      "entropy": 5.915832757949829,
+      "epoch": 1.7854183927091962,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004880198723374247,
+      "loss": 5.9776,
+      "mean_token_accuracy": 0.14149753525853156,
+      "num_tokens": 3933756.0,
+      "step": 2155
+    },
+    {
+      "entropy": 5.959774684906006,
+      "epoch": 1.7895608947804473,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048791677482341845,
+      "loss": 5.9592,
+      "mean_token_accuracy": 0.13750381171703338,
+      "num_tokens": 3943129.0,
+      "step": 2160
+    },
+    {
+      "entropy": 5.881538438796997,
+      "epoch": 1.7937033968516984,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048781324783301016,
+      "loss": 5.7912,
+      "mean_token_accuracy": 0.14508036673069,
+      "num_tokens": 3951494.0,
+      "step": 2165
+    },
+    {
+      "entropy": 5.946735525131226,
+      "epoch": 1.7978458989229495,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048770929157502505,
+      "loss": 5.9565,
+      "mean_token_accuracy": 0.143115097284317,
+      "num_tokens": 3960588.0,
+      "step": 2170
+    },
+    {
+      "entropy": 5.9805809497833256,
+      "epoch": 1.8019884009942007,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004876049062591543,
+      "loss": 5.9226,
+      "mean_token_accuracy": 0.13506680428981782,
+      "num_tokens": 3970135.0,
+      "step": 2175
+    },
+    {
+      "entropy": 5.950060653686523,
+      "epoch": 1.8061309030654515,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048750009209595443,
+      "loss": 5.9042,
+      "mean_token_accuracy": 0.13944360390305519,
+      "num_tokens": 3979569.0,
+      "step": 2180
+    },
+    {
+      "entropy": 5.88271656036377,
+      "epoch": 1.8102734051367024,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048739484929684714,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.144245932251215,
+      "num_tokens": 3987885.0,
+      "step": 2185
+    },
+    {
+      "entropy": 5.933677864074707,
+      "epoch": 1.8144159072079535,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048728917807411856,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.13125594183802605,
+      "num_tokens": 3997726.0,
+      "step": 2190
+    },
+    {
+      "entropy": 6.008653068542481,
+      "epoch": 1.8185584092792046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004871830786409191,
+      "loss": 5.8436,
+      "mean_token_accuracy": 0.14898036047816277,
+      "num_tokens": 4006437.0,
+      "step": 2195
+    },
+    {
+      "entropy": 5.856683444976807,
+      "epoch": 1.8227009113504558,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00048707655121126296,
+      "loss": 5.8124,
+      "mean_token_accuracy": 0.14927435666322708,
+      "num_tokens": 4015326.0,
+      "step": 2200
+    },
+    {
+      "entropy": 5.924995994567871,
+      "epoch": 1.8268434134217069,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048696959600002767,
+      "loss": 5.8722,
+      "mean_token_accuracy": 0.14032577201724053,
+      "num_tokens": 4024294.0,
+      "step": 2205
+    },
+    {
+      "entropy": 5.881852293014527,
+      "epoch": 1.8309859154929577,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048686221322295347,
+      "loss": 5.9028,
+      "mean_token_accuracy": 0.14340249821543694,
+      "num_tokens": 4033341.0,
+      "step": 2210
+    },
+    {
+      "entropy": 5.951443433761597,
+      "epoch": 1.8351284175642086,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048675440309664314,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.1474481076002121,
+      "num_tokens": 4042446.0,
+      "step": 2215
+    },
+    {
+      "entropy": 5.832607173919678,
+      "epoch": 1.8392709196354597,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00048664616583856166,
+      "loss": 5.8924,
+      "mean_token_accuracy": 0.13868724405765534,
+      "num_tokens": 4051849.0,
+      "step": 2220
+    },
+    {
+      "entropy": 6.026660823822022,
+      "epoch": 1.8434134217067109,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00048653750166703516,
+      "loss": 5.9855,
+      "mean_token_accuracy": 0.1381051518023014,
+      "num_tokens": 4061075.0,
+      "step": 2225
+    },
+    {
+      "entropy": 5.976817560195923,
+      "epoch": 1.847555923777962,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004864284108012513,
+      "loss": 5.9524,
+      "mean_token_accuracy": 0.13498588278889656,
+      "num_tokens": 4071022.0,
+      "step": 2230
+    },
+    {
+      "entropy": 5.884273719787598,
+      "epoch": 1.851698425849213,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004863188934612583,
+      "loss": 5.854,
+      "mean_token_accuracy": 0.1435965158045292,
+      "num_tokens": 4080728.0,
+      "step": 2235
+    },
+    {
+      "entropy": 5.8848789691925045,
+      "epoch": 1.855840927920464,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004862089498679645,
+      "loss": 5.8121,
+      "mean_token_accuracy": 0.15146355628967284,
+      "num_tokens": 4088712.0,
+      "step": 2240
+    },
+    {
+      "entropy": 5.904728364944458,
+      "epoch": 1.8599834299917148,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004860985802431383,
+      "loss": 5.8445,
+      "mean_token_accuracy": 0.14107747822999955,
+      "num_tokens": 4097488.0,
+      "step": 2245
+    },
+    {
+      "entropy": 5.815548610687256,
+      "epoch": 1.864125932062966,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004859877848094071,
+      "loss": 5.8328,
+      "mean_token_accuracy": 0.14647450745105745,
+      "num_tokens": 4106485.0,
+      "step": 2250
+    },
+    {
+      "entropy": 5.969652986526489,
+      "epoch": 1.868268434134217,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004858765637902575,
+      "loss": 5.8016,
+      "mean_token_accuracy": 0.14588006138801574,
+      "num_tokens": 4115806.0,
+      "step": 2255
+    },
+    {
+      "entropy": 5.982199335098267,
+      "epoch": 1.8724109362054682,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004857649174100344,
+      "loss": 5.9353,
+      "mean_token_accuracy": 0.14478921219706536,
+      "num_tokens": 4124636.0,
+      "step": 2260
+    },
+    {
+      "entropy": 5.869907474517822,
+      "epoch": 1.8765534382767193,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.0004856528458939409,
+      "loss": 5.8948,
+      "mean_token_accuracy": 0.13403457626700402,
+      "num_tokens": 4133876.0,
+      "step": 2265
+    },
+    {
+      "entropy": 5.836872100830078,
+      "epoch": 1.8806959403479702,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004855403494680373,
+      "loss": 5.8159,
+      "mean_token_accuracy": 0.14096100330352784,
+      "num_tokens": 4143555.0,
+      "step": 2270
+    },
+    {
+      "entropy": 5.871636962890625,
+      "epoch": 1.884838442419221,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00048542742835924133,
+      "loss": 5.7773,
+      "mean_token_accuracy": 0.14253296032547952,
+      "num_tokens": 4153007.0,
+      "step": 2275
+    },
+    {
+      "entropy": 5.766701364517212,
+      "epoch": 1.8889809444904722,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048531408279532705,
+      "loss": 5.8171,
+      "mean_token_accuracy": 0.14552054405212403,
+      "num_tokens": 4162107.0,
+      "step": 2280
+    },
+    {
+      "entropy": 5.884533357620239,
+      "epoch": 1.8931234465617233,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048520031300492507,
+      "loss": 5.8208,
+      "mean_token_accuracy": 0.14203491136431695,
+      "num_tokens": 4170920.0,
+      "step": 2285
+    },
+    {
+      "entropy": 5.9367118835449215,
+      "epoch": 1.8972659486329744,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048508611921752124,
+      "loss": 5.8366,
+      "mean_token_accuracy": 0.14547978863120078,
+      "num_tokens": 4180226.0,
+      "step": 2290
+    },
+    {
+      "entropy": 5.804201984405518,
+      "epoch": 1.9014084507042255,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00048497150166345703,
+      "loss": 5.7799,
+      "mean_token_accuracy": 0.14307984560728074,
+      "num_tokens": 4189283.0,
+      "step": 2295
+    },
+    {
+      "entropy": 5.833661937713623,
+      "epoch": 1.9055509527754764,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004848564605739287,
+      "loss": 5.8181,
+      "mean_token_accuracy": 0.14286661818623542,
+      "num_tokens": 4199017.0,
+      "step": 2300
+    },
+    {
+      "entropy": 5.985245418548584,
+      "epoch": 1.9096934548467275,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048474099618098644,
+      "loss": 5.9557,
+      "mean_token_accuracy": 0.13776218444108962,
+      "num_tokens": 4207756.0,
+      "step": 2305
+    },
+    {
+      "entropy": 5.926583385467529,
+      "epoch": 1.9138359569179784,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004846251087175348,
+      "loss": 5.8467,
+      "mean_token_accuracy": 0.14270823299884797,
+      "num_tokens": 4216721.0,
+      "step": 2310
+    },
+    {
+      "entropy": 5.816466999053955,
+      "epoch": 1.9179784589892295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004845087984173312,
+      "loss": 5.8214,
+      "mean_token_accuracy": 0.14952016696333886,
+      "num_tokens": 4225596.0,
+      "step": 2315
+    },
+    {
+      "entropy": 5.975145244598389,
+      "epoch": 1.9221209610604806,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048439206551498644,
+      "loss": 5.8881,
+      "mean_token_accuracy": 0.14604572355747222,
+      "num_tokens": 4234500.0,
+      "step": 2320
+    },
+    {
+      "entropy": 5.83410792350769,
+      "epoch": 1.9262634631317317,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004842749102459635,
+      "loss": 5.8331,
+      "mean_token_accuracy": 0.14477182626724244,
+      "num_tokens": 4243240.0,
+      "step": 2325
+    },
+    {
+      "entropy": 5.799895906448365,
+      "epoch": 1.9304059652029826,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048415733284657727,
+      "loss": 5.8249,
+      "mean_token_accuracy": 0.14724751114845275,
+      "num_tokens": 4251892.0,
+      "step": 2330
+    },
+    {
+      "entropy": 5.914888668060303,
+      "epoch": 1.9345484672742337,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004840393335539943,
+      "loss": 5.784,
+      "mean_token_accuracy": 0.14537777602672577,
+      "num_tokens": 4261447.0,
+      "step": 2335
+    },
+    {
+      "entropy": 5.93565788269043,
+      "epoch": 1.9386909693454846,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048392091260623195,
+      "loss": 5.9202,
+      "mean_token_accuracy": 0.1471864774823189,
+      "num_tokens": 4270120.0,
+      "step": 2340
+    },
+    {
+      "entropy": 5.905978488922119,
+      "epoch": 1.9428334714167357,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048380207024215836,
+      "loss": 5.7991,
+      "mean_token_accuracy": 0.1482786476612091,
+      "num_tokens": 4278300.0,
+      "step": 2345
+    },
+    {
+      "entropy": 5.905145263671875,
+      "epoch": 1.9469759734879868,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00048368280670149145,
+      "loss": 5.8487,
+      "mean_token_accuracy": 0.1461447760462761,
+      "num_tokens": 4286454.0,
+      "step": 2350
+    },
+    {
+      "entropy": 5.805000495910645,
+      "epoch": 1.951118475559238,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004835631222247989,
+      "loss": 5.7243,
+      "mean_token_accuracy": 0.15050614029169082,
+      "num_tokens": 4294752.0,
+      "step": 2355
+    },
+    {
+      "entropy": 5.907592630386352,
+      "epoch": 1.9552609776304888,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00048344301705349735,
+      "loss": 5.7974,
+      "mean_token_accuracy": 0.14830030649900436,
+      "num_tokens": 4303195.0,
+      "step": 2360
+    },
+    {
+      "entropy": 5.841587924957276,
+      "epoch": 1.95940347970174,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048332249142985195,
+      "loss": 5.9211,
+      "mean_token_accuracy": 0.1373597078025341,
+      "num_tokens": 4311961.0,
+      "step": 2365
+    },
+    {
+      "entropy": 5.900353670120239,
+      "epoch": 1.9635459817729908,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004832015455969763,
+      "loss": 5.7748,
+      "mean_token_accuracy": 0.13879901468753814,
+      "num_tokens": 4322267.0,
+      "step": 2370
+    },
+    {
+      "entropy": 5.774641275405884,
+      "epoch": 1.9676884838442419,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048308017979883114,
+      "loss": 5.8838,
+      "mean_token_accuracy": 0.1426581546664238,
+      "num_tokens": 4330584.0,
+      "step": 2375
+    },
+    {
+      "entropy": 5.840176010131836,
+      "epoch": 1.971830985915493,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048295839428022454,
+      "loss": 5.7215,
+      "mean_token_accuracy": 0.14949245899915695,
+      "num_tokens": 4339215.0,
+      "step": 2380
+    },
+    {
+      "entropy": 5.869688034057617,
+      "epoch": 1.975973487986744,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00048283618928681127,
+      "loss": 5.7418,
+      "mean_token_accuracy": 0.1501791574060917,
+      "num_tokens": 4347711.0,
+      "step": 2385
+    },
+    {
+      "entropy": 5.764533996582031,
+      "epoch": 1.980115990057995,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004827135650650923,
+      "loss": 5.7445,
+      "mean_token_accuracy": 0.14758301600813867,
+      "num_tokens": 4356982.0,
+      "step": 2390
+    },
+    {
+      "entropy": 5.770398235321045,
+      "epoch": 1.984258492129246,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004825905218624139,
+      "loss": 5.7696,
+      "mean_token_accuracy": 0.14773683473467827,
+      "num_tokens": 4365378.0,
+      "step": 2395
+    },
+    {
+      "entropy": 5.9908288478851315,
+      "epoch": 1.988400994200497,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048246705992696756,
+      "loss": 5.8174,
+      "mean_token_accuracy": 0.14142358154058457,
+      "num_tokens": 4374007.0,
+      "step": 2400
+    },
+    {
+      "entropy": 5.9741987705230715,
+      "epoch": 1.992543496271748,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048234317950778975,
+      "loss": 5.9346,
+      "mean_token_accuracy": 0.1409923940896988,
+      "num_tokens": 4383909.0,
+      "step": 2405
+    },
+    {
+      "entropy": 5.967488718032837,
+      "epoch": 1.9966859983429992,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004822188808547607,
+      "loss": 5.9967,
+      "mean_token_accuracy": 0.13560240790247918,
+      "num_tokens": 4393145.0,
+      "step": 2410
+    },
+    {
+      "entropy": 5.751282596588135,
+      "epoch": 2.0008285004142503,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004820941642186043,
+      "loss": 5.7146,
+      "mean_token_accuracy": 0.14043126851320267,
+      "num_tokens": 4402024.0,
+      "step": 2415
+    },
+    {
+      "entropy": 5.91456356048584,
+      "epoch": 2.0049710024855014,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004819690298508879,
+      "loss": 5.5395,
+      "mean_token_accuracy": 0.1603303700685501,
+      "num_tokens": 4411377.0,
+      "step": 2420
+    },
+    {
+      "entropy": 5.758482313156128,
+      "epoch": 2.009113504556752,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048184347800402083,
+      "loss": 5.4299,
+      "mean_token_accuracy": 0.16564757078886033,
+      "num_tokens": 4419781.0,
+      "step": 2425
+    },
+    {
+      "entropy": 5.727555131912231,
+      "epoch": 2.013256006628003,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004817175089312551,
+      "loss": 5.4154,
+      "mean_token_accuracy": 0.16400155574083328,
+      "num_tokens": 4428427.0,
+      "step": 2430
+    },
+    {
+      "entropy": 5.749885892868042,
+      "epoch": 2.0173985086992543,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048159112288668403,
+      "loss": 5.4586,
+      "mean_token_accuracy": 0.15933601409196854,
+      "num_tokens": 4438156.0,
+      "step": 2435
+    },
+    {
+      "entropy": 5.876013088226318,
+      "epoch": 2.0215410107705054,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00048146432012524215,
+      "loss": 5.4819,
+      "mean_token_accuracy": 0.16306492537260056,
+      "num_tokens": 4446342.0,
+      "step": 2440
+    },
+    {
+      "entropy": 5.738983201980591,
+      "epoch": 2.0256835128417565,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00048133710090270446,
+      "loss": 5.5229,
+      "mean_token_accuracy": 0.1542331963777542,
+      "num_tokens": 4455582.0,
+      "step": 2445
+    },
+    {
+      "entropy": 5.815389633178711,
+      "epoch": 2.0298260149130076,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048120946547568596,
+      "loss": 5.5375,
+      "mean_token_accuracy": 0.15604802072048188,
+      "num_tokens": 4464518.0,
+      "step": 2450
+    },
+    {
+      "entropy": 5.927202749252319,
+      "epoch": 2.0339685169842583,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00048108141410164133,
+      "loss": 5.6588,
+      "mean_token_accuracy": 0.14534952044486998,
+      "num_tokens": 4475031.0,
+      "step": 2455
+    },
+    {
+      "entropy": 5.8722837448120115,
+      "epoch": 2.0381110190555094,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004809529470388642,
+      "loss": 5.5396,
+      "mean_token_accuracy": 0.1577153742313385,
+      "num_tokens": 4484609.0,
+      "step": 2460
+    },
+    {
+      "entropy": 5.787671709060669,
+      "epoch": 2.0422535211267605,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004808240645464866,
+      "loss": 5.5698,
+      "mean_token_accuracy": 0.15477177649736404,
+      "num_tokens": 4494238.0,
+      "step": 2465
+    },
+    {
+      "entropy": 5.684235668182373,
+      "epoch": 2.0463960231980116,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004806947668844787,
+      "loss": 5.4573,
+      "mean_token_accuracy": 0.16172746568918228,
+      "num_tokens": 4503258.0,
+      "step": 2470
+    },
+    {
+      "entropy": 5.786364412307739,
+      "epoch": 2.0505385252692627,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048056505431364794,
+      "loss": 5.5091,
+      "mean_token_accuracy": 0.15975141078233718,
+      "num_tokens": 4512071.0,
+      "step": 2475
+    },
+    {
+      "entropy": 5.736668491363526,
+      "epoch": 2.054681027340514,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00048043492709563877,
+      "loss": 5.3461,
+      "mean_token_accuracy": 0.17059434503316878,
+      "num_tokens": 4520219.0,
+      "step": 2480
+    },
+    {
+      "entropy": 5.672813034057617,
+      "epoch": 2.0588235294117645,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048030438549293193,
+      "loss": 5.5568,
+      "mean_token_accuracy": 0.15284566581249237,
+      "num_tokens": 4529386.0,
+      "step": 2485
+    },
+    {
+      "entropy": 5.830966377258301,
+      "epoch": 2.0629660314830156,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00048017342976884424,
+      "loss": 5.5638,
+      "mean_token_accuracy": 0.15199215039610864,
+      "num_tokens": 4538860.0,
+      "step": 2490
+    },
+    {
+      "entropy": 5.761076402664185,
+      "epoch": 2.0671085335542667,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048004206018752773,
+      "loss": 5.5299,
+      "mean_token_accuracy": 0.15335657596588134,
+      "num_tokens": 4547842.0,
+      "step": 2495
+    },
+    {
+      "entropy": 5.733208799362183,
+      "epoch": 2.071251035625518,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047991027701396895,
+      "loss": 5.5026,
+      "mean_token_accuracy": 0.15411428660154342,
+      "num_tokens": 4556238.0,
+      "step": 2500
+    },
+    {
+      "epoch": 2.071251035625518,
+      "eval_entropy": 5.642364594473768,
+      "eval_loss": 6.032641410827637,
+      "eval_mean_token_accuracy": 0.1416530203399882,
+      "eval_num_tokens": 4556238.0,
+      "eval_runtime": 2.7817,
+      "eval_samples_per_second": 1347.034,
+      "eval_steps_per_second": 168.604,
+      "step": 2500
+    },
+    {
+      "entropy": 5.732073068618774,
+      "epoch": 2.075393537696769,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004797780805139892,
+      "loss": 5.5069,
+      "mean_token_accuracy": 0.1587075412273407,
+      "num_tokens": 4565684.0,
+      "step": 2505
+    },
+    {
+      "entropy": 5.722462224960327,
+      "epoch": 2.07953603976802,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004796454709542432,
+      "loss": 5.467,
+      "mean_token_accuracy": 0.1590041533112526,
+      "num_tokens": 4575001.0,
+      "step": 2510
+    },
+    {
+      "entropy": 5.797696113586426,
+      "epoch": 2.083678541839271,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004795124486022189,
+      "loss": 5.5732,
+      "mean_token_accuracy": 0.15362634360790253,
+      "num_tokens": 4584128.0,
+      "step": 2515
+    },
+    {
+      "entropy": 5.711380529403686,
+      "epoch": 2.087821043910522,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047937901372623694,
+      "loss": 5.4191,
+      "mean_token_accuracy": 0.16894411891698838,
+      "num_tokens": 4593011.0,
+      "step": 2520
+    },
+    {
+      "entropy": 5.688450145721435,
+      "epoch": 2.091963545981773,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00047924516659545005,
+      "loss": 5.4668,
+      "mean_token_accuracy": 0.16164053976535797,
+      "num_tokens": 4602676.0,
+      "step": 2525
+    },
+    {
+      "entropy": 5.79151463508606,
+      "epoch": 2.096106048053024,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004791109074798425,
+      "loss": 5.5522,
+      "mean_token_accuracy": 0.15433578938245773,
+      "num_tokens": 4611915.0,
+      "step": 2530
+    },
+    {
+      "entropy": 5.748647403717041,
+      "epoch": 2.100248550124275,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004789762366502296,
+      "loss": 5.5184,
+      "mean_token_accuracy": 0.15959300100803375,
+      "num_tokens": 4621396.0,
+      "step": 2535
+    },
+    {
+      "entropy": 5.7374598503112795,
+      "epoch": 2.1043910521955262,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004788411543782571,
+      "loss": 5.5201,
+      "mean_token_accuracy": 0.1591552659869194,
+      "num_tokens": 4630533.0,
+      "step": 2540
+    },
+    {
+      "entropy": 5.678498649597168,
+      "epoch": 2.108533554266777,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004787056609364008,
+      "loss": 5.4599,
+      "mean_token_accuracy": 0.1542729303240776,
+      "num_tokens": 4639023.0,
+      "step": 2545
+    },
+    {
+      "entropy": 5.711474943161011,
+      "epoch": 2.112676056338028,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004785697565979657,
+      "loss": 5.4732,
+      "mean_token_accuracy": 0.15900285094976424,
+      "num_tokens": 4647975.0,
+      "step": 2550
+    },
+    {
+      "entropy": 5.72883243560791,
+      "epoch": 2.116818558409279,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004784334416370857,
+      "loss": 5.498,
+      "mean_token_accuracy": 0.15594277828931807,
+      "num_tokens": 4657555.0,
+      "step": 2555
+    },
+    {
+      "entropy": 5.745093822479248,
+      "epoch": 2.1209610604805302,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004782967163287231,
+      "loss": 5.4193,
+      "mean_token_accuracy": 0.16100153774023057,
+      "num_tokens": 4667228.0,
+      "step": 2560
+    },
+    {
+      "entropy": 5.716836738586426,
+      "epoch": 2.1251035625517813,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047815958094866756,
+      "loss": 5.4957,
+      "mean_token_accuracy": 0.1513967014849186,
+      "num_tokens": 4676723.0,
+      "step": 2565
+    },
+    {
+      "entropy": 5.7276163578033445,
+      "epoch": 2.1292460646230325,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004780220357735363,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.15479894131422042,
+      "num_tokens": 4686241.0,
+      "step": 2570
+    },
+    {
+      "entropy": 5.764811038970947,
+      "epoch": 2.1333885666942836,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047788408108077294,
+      "loss": 5.5404,
+      "mean_token_accuracy": 0.1561874568462372,
+      "num_tokens": 4695195.0,
+      "step": 2575
+    },
+    {
+      "entropy": 5.739376497268677,
+      "epoch": 2.1375310687655342,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004777457171486471,
+      "loss": 5.5871,
+      "mean_token_accuracy": 0.15551834553480148,
+      "num_tokens": 4704716.0,
+      "step": 2580
+    },
+    {
+      "entropy": 5.769967555999756,
+      "epoch": 2.1416735708367853,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004776069442562541,
+      "loss": 5.5562,
+      "mean_token_accuracy": 0.15339450240135194,
+      "num_tokens": 4713720.0,
+      "step": 2585
+    },
+    {
+      "entropy": 5.733342504501342,
+      "epoch": 2.1458160729080364,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004774677626835138,
+      "loss": 5.5366,
+      "mean_token_accuracy": 0.15301723331212996,
+      "num_tokens": 4722428.0,
+      "step": 2590
+    },
+    {
+      "entropy": 5.787648677825928,
+      "epoch": 2.1499585749792876,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00047732817271117084,
+      "loss": 5.5365,
+      "mean_token_accuracy": 0.15334974452853203,
+      "num_tokens": 4732395.0,
+      "step": 2595
+    },
+    {
+      "entropy": 5.773520803451538,
+      "epoch": 2.1541010770505387,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004771881746207934,
+      "loss": 5.5206,
+      "mean_token_accuracy": 0.15674114525318145,
+      "num_tokens": 4741071.0,
+      "step": 2600
+    },
+    {
+      "entropy": 5.607013797760009,
+      "epoch": 2.1582435791217898,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047704776869477285,
+      "loss": 5.5153,
+      "mean_token_accuracy": 0.15076877027750016,
+      "num_tokens": 4749876.0,
+      "step": 2605
+    },
+    {
+      "entropy": 5.784313154220581,
+      "epoch": 2.1623860811930404,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00047690695521632344,
+      "loss": 5.4669,
+      "mean_token_accuracy": 0.16002854704856873,
+      "num_tokens": 4758721.0,
+      "step": 2610
+    },
+    {
+      "entropy": 5.6919313907623295,
+      "epoch": 2.1665285832642915,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047676573446948114,
+      "loss": 5.4832,
+      "mean_token_accuracy": 0.15925751626491547,
+      "num_tokens": 4767162.0,
+      "step": 2615
+    },
+    {
+      "entropy": 5.71550760269165,
+      "epoch": 2.1706710853355426,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047662410673910376,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.1629578560590744,
+      "num_tokens": 4776397.0,
+      "step": 2620
+    },
+    {
+      "entropy": 5.665811157226562,
+      "epoch": 2.1748135874067938,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047648207231087,
+      "loss": 5.4579,
+      "mean_token_accuracy": 0.15894875824451446,
+      "num_tokens": 4784822.0,
+      "step": 2625
+    },
+    {
+      "entropy": 5.71003270149231,
+      "epoch": 2.178956089478045,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004763396314712786,
+      "loss": 5.5297,
+      "mean_token_accuracy": 0.15831661075353623,
+      "num_tokens": 4794272.0,
+      "step": 2630
+    },
+    {
+      "entropy": 5.64026665687561,
+      "epoch": 2.183098591549296,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004761967845076484,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.15510014593601226,
+      "num_tokens": 4804314.0,
+      "step": 2635
+    },
+    {
+      "entropy": 5.6847330093383786,
+      "epoch": 2.1872410936205466,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004760535317081174,
+      "loss": 5.4694,
+      "mean_token_accuracy": 0.15845878273248673,
+      "num_tokens": 4812685.0,
+      "step": 2640
+    },
+    {
+      "entropy": 5.715235567092895,
+      "epoch": 2.1913835956917977,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047590987336164207,
+      "loss": 5.5532,
+      "mean_token_accuracy": 0.1562129870057106,
+      "num_tokens": 4821761.0,
+      "step": 2645
+    },
+    {
+      "entropy": 5.741413831710815,
+      "epoch": 2.195526097763049,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00047576580975799705,
+      "loss": 5.5307,
+      "mean_token_accuracy": 0.1623195379972458,
+      "num_tokens": 4830515.0,
+      "step": 2650
+    },
+    {
+      "entropy": 5.782008934020996,
+      "epoch": 2.1996685998343,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004756213411877743,
+      "loss": 5.5059,
+      "mean_token_accuracy": 0.14879967421293258,
+      "num_tokens": 4840741.0,
+      "step": 2655
+    },
+    {
+      "entropy": 5.612497425079345,
+      "epoch": 2.203811101905551,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047547646794238277,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.16198884546756745,
+      "num_tokens": 4849571.0,
+      "step": 2660
+    },
+    {
+      "entropy": 5.689143991470337,
+      "epoch": 2.207953603976802,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047533119031404757,
+      "loss": 5.4138,
+      "mean_token_accuracy": 0.1696420982480049,
+      "num_tokens": 4857194.0,
+      "step": 2665
+    },
+    {
+      "entropy": 5.632621717453003,
+      "epoch": 2.212096106048053,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00047518550859580966,
+      "loss": 5.5074,
+      "mean_token_accuracy": 0.1592964008450508,
+      "num_tokens": 4865894.0,
+      "step": 2670
+    },
+    {
+      "entropy": 5.74289755821228,
+      "epoch": 2.216238608119304,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004750394230815249,
+      "loss": 5.5268,
+      "mean_token_accuracy": 0.15829544067382811,
+      "num_tokens": 4875131.0,
+      "step": 2675
+    },
+    {
+      "entropy": 5.670539522171021,
+      "epoch": 2.220381110190555,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047489293406586375,
+      "loss": 5.3777,
+      "mean_token_accuracy": 0.1620385766029358,
+      "num_tokens": 4884098.0,
+      "step": 2680
+    },
+    {
+      "entropy": 5.657269620895386,
+      "epoch": 2.224523612261806,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004747460418443106,
+      "loss": 5.4373,
+      "mean_token_accuracy": 0.15941016003489494,
+      "num_tokens": 4892963.0,
+      "step": 2685
+    },
+    {
+      "entropy": 5.690485191345215,
+      "epoch": 2.2286661143330573,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047459874671316305,
+      "loss": 5.4903,
+      "mean_token_accuracy": 0.15749651044607163,
+      "num_tokens": 4902097.0,
+      "step": 2690
+    },
+    {
+      "entropy": 5.608357000350952,
+      "epoch": 2.2328086164043084,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00047445104896953153,
+      "loss": 5.4015,
+      "mean_token_accuracy": 0.16532779037952422,
+      "num_tokens": 4910469.0,
+      "step": 2695
+    },
+    {
+      "entropy": 5.82715744972229,
+      "epoch": 2.236951118475559,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047430294891133846,
+      "loss": 5.6892,
+      "mean_token_accuracy": 0.1501491665840149,
+      "num_tokens": 4921024.0,
+      "step": 2700
+    },
+    {
+      "entropy": 5.749764776229858,
+      "epoch": 2.24109362054681,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004741544468373179,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15474629402160645,
+      "num_tokens": 4930297.0,
+      "step": 2705
+    },
+    {
+      "entropy": 5.687776947021485,
+      "epoch": 2.2452361226180613,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00047400554304701474,
+      "loss": 5.4692,
+      "mean_token_accuracy": 0.16049361675977708,
+      "num_tokens": 4938971.0,
+      "step": 2710
+    },
+    {
+      "entropy": 5.571053695678711,
+      "epoch": 2.2493786246893124,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047385623784078427,
+      "loss": 5.4899,
+      "mean_token_accuracy": 0.15803302526474,
+      "num_tokens": 4948531.0,
+      "step": 2715
+    },
+    {
+      "entropy": 5.787879133224488,
+      "epoch": 2.2535211267605635,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004737065315197913,
+      "loss": 5.5664,
+      "mean_token_accuracy": 0.1587745025753975,
+      "num_tokens": 4957430.0,
+      "step": 2720
+    },
+    {
+      "entropy": 5.720958280563354,
+      "epoch": 2.2576636288318146,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047355642438600987,
+      "loss": 5.5478,
+      "mean_token_accuracy": 0.16044806241989135,
+      "num_tokens": 4966681.0,
+      "step": 2725
+    },
+    {
+      "entropy": 5.638753175735474,
+      "epoch": 2.2618061309030653,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004734059167422225,
+      "loss": 5.4123,
+      "mean_token_accuracy": 0.1639780133962631,
+      "num_tokens": 4975327.0,
+      "step": 2730
+    },
+    {
+      "entropy": 5.634887552261352,
+      "epoch": 2.2659486329743164,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047325500889201956,
+      "loss": 5.4725,
+      "mean_token_accuracy": 0.16207436099648476,
+      "num_tokens": 4983741.0,
+      "step": 2735
+    },
+    {
+      "entropy": 5.673438644409179,
+      "epoch": 2.2700911350455675,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004731037011397986,
+      "loss": 5.5662,
+      "mean_token_accuracy": 0.15884149968624114,
+      "num_tokens": 4993171.0,
+      "step": 2740
+    },
+    {
+      "entropy": 5.752307653427124,
+      "epoch": 2.2742336371168186,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047295199379076403,
+      "loss": 5.6,
+      "mean_token_accuracy": 0.15322241187095642,
+      "num_tokens": 5002810.0,
+      "step": 2745
+    },
+    {
+      "entropy": 5.7073346138000485,
+      "epoch": 2.2783761391880697,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000472799887150926,
+      "loss": 5.4893,
+      "mean_token_accuracy": 0.15741414427757264,
+      "num_tokens": 5011875.0,
+      "step": 2750
+    },
+    {
+      "entropy": 5.679959297180176,
+      "epoch": 2.282518641259321,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004726473815271003,
+      "loss": 5.5349,
+      "mean_token_accuracy": 0.15855301022529603,
+      "num_tokens": 5020780.0,
+      "step": 2755
+    },
+    {
+      "entropy": 5.669374132156372,
+      "epoch": 2.286661143330572,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047249447722690747,
+      "loss": 5.4331,
+      "mean_token_accuracy": 0.16046710908412934,
+      "num_tokens": 5029896.0,
+      "step": 2760
+    },
+    {
+      "entropy": 5.652454280853272,
+      "epoch": 2.2908036454018226,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047234117455877215,
+      "loss": 5.4932,
+      "mean_token_accuracy": 0.1545606277883053,
+      "num_tokens": 5038956.0,
+      "step": 2765
+    },
+    {
+      "entropy": 5.639697694778443,
+      "epoch": 2.2949461474730737,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004721874738319225,
+      "loss": 5.4594,
+      "mean_token_accuracy": 0.17258906960487366,
+      "num_tokens": 5047005.0,
+      "step": 2770
+    },
+    {
+      "entropy": 5.655842065811157,
+      "epoch": 2.299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004720333753563898,
+      "loss": 5.5008,
+      "mean_token_accuracy": 0.15116662830114364,
+      "num_tokens": 5056475.0,
+      "step": 2775
+    },
+    {
+      "entropy": 5.704644584655762,
+      "epoch": 2.303231151615576,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00047187887944300747,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16439782381057738,
+      "num_tokens": 5064978.0,
+      "step": 2780
+    },
+    {
+      "entropy": 5.726413679122925,
+      "epoch": 2.307373653686827,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004717239864034107,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.15506226867437362,
+      "num_tokens": 5074235.0,
+      "step": 2785
+    },
+    {
+      "entropy": 5.662968683242798,
+      "epoch": 2.3115161557580777,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047156869655003554,
+      "loss": 5.4481,
+      "mean_token_accuracy": 0.16141191571950914,
+      "num_tokens": 5082386.0,
+      "step": 2790
+    },
+    {
+      "entropy": 5.631324100494385,
+      "epoch": 2.315658657829329,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047141301019611875,
+      "loss": 5.4164,
+      "mean_token_accuracy": 0.16636510640382768,
+      "num_tokens": 5090634.0,
+      "step": 2795
+    },
+    {
+      "entropy": 5.818879795074463,
+      "epoch": 2.31980115990058,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004712569276556967,
+      "loss": 5.5906,
+      "mean_token_accuracy": 0.14937217235565187,
+      "num_tokens": 5099003.0,
+      "step": 2800
+    },
+    {
+      "entropy": 5.617757177352905,
+      "epoch": 2.323943661971831,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00047110044924360484,
+      "loss": 5.6681,
+      "mean_token_accuracy": 0.1565680392086506,
+      "num_tokens": 5108631.0,
+      "step": 2805
+    },
+    {
+      "entropy": 5.732515859603882,
+      "epoch": 2.328086164043082,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00047094357527547725,
+      "loss": 5.4545,
+      "mean_token_accuracy": 0.15828853249549865,
+      "num_tokens": 5117309.0,
+      "step": 2810
+    },
+    {
+      "entropy": 5.686485624313354,
+      "epoch": 2.332228666114333,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004707863060677459,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.1627561032772064,
+      "num_tokens": 5126305.0,
+      "step": 2815
+    },
+    {
+      "entropy": 5.821760654449463,
+      "epoch": 2.3363711681855843,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00047062864193764,
+      "loss": 5.6022,
+      "mean_token_accuracy": 0.15580221712589265,
+      "num_tokens": 5135338.0,
+      "step": 2820
+    },
+    {
+      "entropy": 5.676449155807495,
+      "epoch": 2.340513670256835,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047047058320318525,
+      "loss": 5.5298,
+      "mean_token_accuracy": 0.16162888556718827,
+      "num_tokens": 5144518.0,
+      "step": 2825
+    },
+    {
+      "entropy": 5.702890157699585,
+      "epoch": 2.344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004703121301832034,
+      "loss": 5.6262,
+      "mean_token_accuracy": 0.15101130157709122,
+      "num_tokens": 5154102.0,
+      "step": 2830
+    },
+    {
+      "entropy": 5.7891247272491455,
+      "epoch": 2.348798674399337,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047015328319731153,
+      "loss": 5.5642,
+      "mean_token_accuracy": 0.15612353384494781,
+      "num_tokens": 5163719.0,
+      "step": 2835
+    },
+    {
+      "entropy": 5.677855682373047,
+      "epoch": 2.3529411764705883,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004699940425659215,
+      "loss": 5.5247,
+      "mean_token_accuracy": 0.15519936084747316,
+      "num_tokens": 5173192.0,
+      "step": 2840
+    },
+    {
+      "entropy": 5.622324132919312,
+      "epoch": 2.3570836785418394,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00046983440861023877,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.1663823500275612,
+      "num_tokens": 5182438.0,
+      "step": 2845
+    },
+    {
+      "entropy": 5.699106454849243,
+      "epoch": 2.36122618061309,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046967438165226275,
+      "loss": 5.6015,
+      "mean_token_accuracy": 0.15352728664875032,
+      "num_tokens": 5191595.0,
+      "step": 2850
+    },
+    {
+      "entropy": 5.659265756607056,
+      "epoch": 2.365368682684341,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004695139620147851,
+      "loss": 5.4682,
+      "mean_token_accuracy": 0.1643056571483612,
+      "num_tokens": 5200174.0,
+      "step": 2855
+    },
+    {
+      "entropy": 5.713242053985596,
+      "epoch": 2.3695111847555923,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046935315002138994,
+      "loss": 5.5804,
+      "mean_token_accuracy": 0.15417435318231582,
+      "num_tokens": 5210454.0,
+      "step": 2860
+    },
+    {
+      "entropy": 5.727554702758789,
+      "epoch": 2.3736536868268434,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004691919459964525,
+      "loss": 5.5019,
+      "mean_token_accuracy": 0.16056040227413176,
+      "num_tokens": 5219243.0,
+      "step": 2865
+    },
+    {
+      "entropy": 5.5862212657928465,
+      "epoch": 2.3777961888980945,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046903035026513894,
+      "loss": 5.4319,
+      "mean_token_accuracy": 0.1613735228776932,
+      "num_tokens": 5228656.0,
+      "step": 2870
+    },
+    {
+      "entropy": 5.587289905548095,
+      "epoch": 2.3819386909693456,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004688683631534056,
+      "loss": 5.4859,
+      "mean_token_accuracy": 0.156366066634655,
+      "num_tokens": 5237807.0,
+      "step": 2875
+    },
+    {
+      "entropy": 5.775411653518677,
+      "epoch": 2.3860811930405967,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004687059849879981,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.1609719067811966,
+      "num_tokens": 5247432.0,
+      "step": 2880
+    },
+    {
+      "entropy": 5.597807741165161,
+      "epoch": 2.3902236951118474,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00046854321609645093,
+      "loss": 5.4145,
+      "mean_token_accuracy": 0.16111126840114592,
+      "num_tokens": 5256680.0,
+      "step": 2885
+    },
+    {
+      "entropy": 5.6380726337432865,
+      "epoch": 2.3943661971830985,
+      "grad_norm": 2.15625,
+      "learning_rate": 0.00046838005680708677,
+      "loss": 5.5296,
+      "mean_token_accuracy": 0.14821895360946655,
+      "num_tokens": 5266793.0,
+      "step": 2890
+    },
+    {
+      "entropy": 5.710390281677246,
+      "epoch": 2.3985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046821650744901573,
+      "loss": 5.4452,
+      "mean_token_accuracy": 0.15857197493314742,
+      "num_tokens": 5275028.0,
+      "step": 2895
+    },
+    {
+      "entropy": 5.598506593704224,
+      "epoch": 2.4026512013256007,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004680525683521347,
+      "loss": 5.5226,
+      "mean_token_accuracy": 0.1566852644085884,
+      "num_tokens": 5284162.0,
+      "step": 2900
+    },
+    {
+      "entropy": 5.757242631912232,
+      "epoch": 2.406793703396852,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004678882398471269,
+      "loss": 5.5911,
+      "mean_token_accuracy": 0.15474308133125306,
+      "num_tokens": 5293263.0,
+      "step": 2905
+    },
+    {
+      "entropy": 5.654598569869995,
+      "epoch": 2.4109362054681025,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046772352226546066,
+      "loss": 5.477,
+      "mean_token_accuracy": 0.1666618600487709,
+      "num_tokens": 5301373.0,
+      "step": 2910
+    },
+    {
+      "entropy": 5.643638467788696,
+      "epoch": 2.4150787075393536,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004675584159393895,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.15203802064061164,
+      "num_tokens": 5311009.0,
+      "step": 2915
+    },
+    {
+      "entropy": 5.699149656295776,
+      "epoch": 2.4192212096106047,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046739292120195083,
+      "loss": 5.5245,
+      "mean_token_accuracy": 0.16085631400346756,
+      "num_tokens": 5320341.0,
+      "step": 2920
+    },
+    {
+      "entropy": 5.642888498306275,
+      "epoch": 2.423363711681856,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004672270383869657,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1610630214214325,
+      "num_tokens": 5329250.0,
+      "step": 2925
+    },
+    {
+      "entropy": 5.62935357093811,
+      "epoch": 2.427506213753107,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004670607678290379,
+      "loss": 5.4471,
+      "mean_token_accuracy": 0.16571807861328125,
+      "num_tokens": 5336515.0,
+      "step": 2930
+    },
+    {
+      "entropy": 5.655415058135986,
+      "epoch": 2.431648715824358,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004668941098635532,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.1595415398478508,
+      "num_tokens": 5346043.0,
+      "step": 2935
+    },
+    {
+      "entropy": 5.642036104202271,
+      "epoch": 2.435791217895609,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00046672706482667897,
+      "loss": 5.4925,
+      "mean_token_accuracy": 0.15832271426916122,
+      "num_tokens": 5355124.0,
+      "step": 2940
+    },
+    {
+      "entropy": 5.647988367080688,
+      "epoch": 2.43993371996686,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004665596330553633,
+      "loss": 5.5051,
+      "mean_token_accuracy": 0.1597411409020424,
+      "num_tokens": 5364556.0,
+      "step": 2945
+    },
+    {
+      "entropy": 5.67459397315979,
+      "epoch": 2.444076222038111,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046639181488733445,
+      "loss": 5.5316,
+      "mean_token_accuracy": 0.15941161364316941,
+      "num_tokens": 5373778.0,
+      "step": 2950
+    },
+    {
+      "entropy": 5.725692987442017,
+      "epoch": 2.448218724109362,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004662236106610999,
+      "loss": 5.5123,
+      "mean_token_accuracy": 0.15816445648670197,
+      "num_tokens": 5382633.0,
+      "step": 2955
+    },
+    {
+      "entropy": 5.5606146335601805,
+      "epoch": 2.452361226180613,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00046605502071594604,
+      "loss": 5.4163,
+      "mean_token_accuracy": 0.16387673169374467,
+      "num_tokens": 5391442.0,
+      "step": 2960
+    },
+    {
+      "entropy": 5.569208765029908,
+      "epoch": 2.4565037282518642,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004658860453919371,
+      "loss": 5.4388,
+      "mean_token_accuracy": 0.1621423229575157,
+      "num_tokens": 5400504.0,
+      "step": 2965
+    },
+    {
+      "entropy": 5.587312078475952,
+      "epoch": 2.460646230323115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004657166850299149,
+      "loss": 5.4448,
+      "mean_token_accuracy": 0.16361159086227417,
+      "num_tokens": 5408939.0,
+      "step": 2970
+    },
+    {
+      "entropy": 5.629118537902832,
+      "epoch": 2.464788732394366,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004655469399714978,
+      "loss": 5.4722,
+      "mean_token_accuracy": 0.1575179159641266,
+      "num_tokens": 5418934.0,
+      "step": 2975
+    },
+    {
+      "entropy": 5.572103595733642,
+      "epoch": 2.468931234465617,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004653768105590799,
+      "loss": 5.4955,
+      "mean_token_accuracy": 0.16008511185646057,
+      "num_tokens": 5427894.0,
+      "step": 2980
+    },
+    {
+      "entropy": 5.683330011367798,
+      "epoch": 2.4730737365368682,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046520629713583115,
+      "loss": 5.5003,
+      "mean_token_accuracy": 0.1613202139735222,
+      "num_tokens": 5436830.0,
+      "step": 2985
+    },
+    {
+      "entropy": 5.597742080688477,
+      "epoch": 2.4772162386081193,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046503540004569555,
+      "loss": 5.4814,
+      "mean_token_accuracy": 0.16423845291137695,
+      "num_tokens": 5445504.0,
+      "step": 2990
+    },
+    {
+      "entropy": 5.679887342453003,
+      "epoch": 2.4813587406793705,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046486411963339125,
+      "loss": 5.5405,
+      "mean_token_accuracy": 0.15501321628689765,
+      "num_tokens": 5455378.0,
+      "step": 2995
+    },
+    {
+      "entropy": 5.712473011016845,
+      "epoch": 2.4855012427506216,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046469245624440955,
+      "loss": 5.6107,
+      "mean_token_accuracy": 0.1589423656463623,
+      "num_tokens": 5465334.0,
+      "step": 3000
+    },
+    {
+      "epoch": 2.4855012427506216,
+      "eval_entropy": 5.590163738234465,
+      "eval_loss": 5.965892314910889,
+      "eval_mean_token_accuracy": 0.14734836894947329,
+      "eval_num_tokens": 5465334.0,
+      "eval_runtime": 2.7526,
+      "eval_samples_per_second": 1361.234,
+      "eval_steps_per_second": 170.381,
+      "step": 3000
+    },
+    {
+      "entropy": 5.751126146316528,
+      "epoch": 2.4896437448218722,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046452041022501423,
+      "loss": 5.5858,
+      "mean_token_accuracy": 0.15555662512779236,
+      "num_tokens": 5475701.0,
+      "step": 3005
+    },
+    {
+      "entropy": 5.699931526184082,
+      "epoch": 2.4937862468931233,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004643479819222411,
+      "loss": 5.4828,
+      "mean_token_accuracy": 0.16229774355888366,
+      "num_tokens": 5485244.0,
+      "step": 3010
+    },
+    {
+      "entropy": 5.596950387954712,
+      "epoch": 2.4979287489643744,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046417517168389664,
+      "loss": 5.4434,
+      "mean_token_accuracy": 0.1682340309023857,
+      "num_tokens": 5493587.0,
+      "step": 3015
+    },
+    {
+      "entropy": 5.6203169345855715,
+      "epoch": 2.5020712510356256,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004640019798585581,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.15738681554794312,
+      "num_tokens": 5503117.0,
+      "step": 3020
+    },
+    {
+      "entropy": 5.762682390213013,
+      "epoch": 2.5062137531068767,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046382840679557233,
+      "loss": 5.5352,
+      "mean_token_accuracy": 0.16024575680494307,
+      "num_tokens": 5512742.0,
+      "step": 3025
+    },
+    {
+      "entropy": 5.647499704360962,
+      "epoch": 2.5103562551781273,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00046365445284505516,
+      "loss": 5.4968,
+      "mean_token_accuracy": 0.16166605204343795,
+      "num_tokens": 5521862.0,
+      "step": 3030
+    },
+    {
+      "entropy": 5.597900772094727,
+      "epoch": 2.5144987572493784,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.0004634801183578907,
+      "loss": 5.488,
+      "mean_token_accuracy": 0.1608501434326172,
+      "num_tokens": 5531244.0,
+      "step": 3035
+    },
+    {
+      "entropy": 5.655751419067383,
+      "epoch": 2.5186412593206295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046330540368573063,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15176820158958435,
+      "num_tokens": 5540786.0,
+      "step": 3040
+    },
+    {
+      "entropy": 5.7291028022766115,
+      "epoch": 2.5227837613918807,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046313030918099365,
+      "loss": 5.5224,
+      "mean_token_accuracy": 0.1602902241051197,
+      "num_tokens": 5549961.0,
+      "step": 3045
+    },
+    {
+      "entropy": 5.620108366012573,
+      "epoch": 2.5269262634631318,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00046295483519686437,
+      "loss": 5.4591,
+      "mean_token_accuracy": 0.16417455673217773,
+      "num_tokens": 5558941.0,
+      "step": 3050
+    },
+    {
+      "entropy": 5.644694232940674,
+      "epoch": 2.531068765534383,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046277898208729306,
+      "loss": 5.4673,
+      "mean_token_accuracy": 0.16716189235448836,
+      "num_tokens": 5567630.0,
+      "step": 3055
+    },
+    {
+      "entropy": 5.586954879760742,
+      "epoch": 2.535211267605634,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004626027502069947,
+      "loss": 5.4301,
+      "mean_token_accuracy": 0.16521373838186265,
+      "num_tokens": 5576430.0,
+      "step": 3060
+    },
+    {
+      "entropy": 5.650178289413452,
+      "epoch": 2.539353769676885,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046242613991144814,
+      "loss": 5.5444,
+      "mean_token_accuracy": 0.1609214127063751,
+      "num_tokens": 5584785.0,
+      "step": 3065
+    },
+    {
+      "entropy": 5.585511493682861,
+      "epoch": 2.5434962717481358,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046224915155689586,
+      "loss": 5.478,
+      "mean_token_accuracy": 0.16044741719961167,
+      "num_tokens": 5594583.0,
+      "step": 3070
+    },
+    {
+      "entropy": 5.638197040557861,
+      "epoch": 2.547638773819387,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046207178550034244,
+      "loss": 5.4306,
+      "mean_token_accuracy": 0.1608849883079529,
+      "num_tokens": 5603498.0,
+      "step": 3075
+    },
+    {
+      "entropy": 5.7161966323852536,
+      "epoch": 2.551781275890638,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004618940420995547,
+      "loss": 5.5685,
+      "mean_token_accuracy": 0.15440558269619942,
+      "num_tokens": 5613101.0,
+      "step": 3080
+    },
+    {
+      "entropy": 5.665849494934082,
+      "epoch": 2.555923777961889,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004617159217130606,
+      "loss": 5.5409,
+      "mean_token_accuracy": 0.1569191187620163,
+      "num_tokens": 5621821.0,
+      "step": 3085
+    },
+    {
+      "entropy": 5.711861181259155,
+      "epoch": 2.5600662800331397,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004615374247001483,
+      "loss": 5.5738,
+      "mean_token_accuracy": 0.15701586306095122,
+      "num_tokens": 5631006.0,
+      "step": 3090
+    },
+    {
+      "entropy": 5.674423551559448,
+      "epoch": 2.564208782104391,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004613585514208659,
+      "loss": 5.5295,
+      "mean_token_accuracy": 0.15232180580496787,
+      "num_tokens": 5640159.0,
+      "step": 3095
+    },
+    {
+      "entropy": 5.592060613632202,
+      "epoch": 2.568351284175642,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046117930223602016,
+      "loss": 5.4003,
+      "mean_token_accuracy": 0.1694741129875183,
+      "num_tokens": 5648369.0,
+      "step": 3100
+    },
+    {
+      "entropy": 5.5982965469360355,
+      "epoch": 2.572493786246893,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004609996775071765,
+      "loss": 5.459,
+      "mean_token_accuracy": 0.1591326355934143,
+      "num_tokens": 5657669.0,
+      "step": 3105
+    },
+    {
+      "entropy": 5.56780686378479,
+      "epoch": 2.576636288318144,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004608196775966575,
+      "loss": 5.5319,
+      "mean_token_accuracy": 0.1610974356532097,
+      "num_tokens": 5666601.0,
+      "step": 3110
+    },
+    {
+      "entropy": 5.639773225784301,
+      "epoch": 2.5807787903893953,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046063930286754267,
+      "loss": 5.4465,
+      "mean_token_accuracy": 0.16618527621030807,
+      "num_tokens": 5675243.0,
+      "step": 3115
+    },
+    {
+      "entropy": 5.56855001449585,
+      "epoch": 2.5849212924606464,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00046045855368366756,
+      "loss": 5.466,
+      "mean_token_accuracy": 0.1630399063229561,
+      "num_tokens": 5683646.0,
+      "step": 3120
+    },
+    {
+      "entropy": 5.682586193084717,
+      "epoch": 2.5890637945318975,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.000460277430409623,
+      "loss": 5.5129,
+      "mean_token_accuracy": 0.17162407487630843,
+      "num_tokens": 5693069.0,
+      "step": 3125
+    },
+    {
+      "entropy": 5.587219524383545,
+      "epoch": 2.593206296603148,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046009593341075444,
+      "loss": 5.3754,
+      "mean_token_accuracy": 0.16499391198158264,
+      "num_tokens": 5701527.0,
+      "step": 3130
+    },
+    {
+      "entropy": 5.561956834793091,
+      "epoch": 2.5973487986743993,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004599140630531612,
+      "loss": 5.5403,
+      "mean_token_accuracy": 0.15682477951049806,
+      "num_tokens": 5710379.0,
+      "step": 3135
+    },
+    {
+      "entropy": 5.69692587852478,
+      "epoch": 2.6014913007456504,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004597318197036956,
+      "loss": 5.4524,
+      "mean_token_accuracy": 0.1643553927540779,
+      "num_tokens": 5719217.0,
+      "step": 3140
+    },
+    {
+      "entropy": 5.629226970672607,
+      "epoch": 2.6056338028169015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004595492037299624,
+      "loss": 5.5535,
+      "mean_token_accuracy": 0.16214104294776915,
+      "num_tokens": 5728331.0,
+      "step": 3145
+    },
+    {
+      "entropy": 5.608061027526856,
+      "epoch": 2.6097763048881526,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045936621550031806,
+      "loss": 5.5107,
+      "mean_token_accuracy": 0.16073764860630035,
+      "num_tokens": 5737696.0,
+      "step": 3150
+    },
+    {
+      "entropy": 5.731885099411011,
+      "epoch": 2.6139188069594033,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045918285538386973,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.16164542436599733,
+      "num_tokens": 5746191.0,
+      "step": 3155
+    },
+    {
+      "entropy": 5.703127813339234,
+      "epoch": 2.6180613090306544,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00045899912375047485,
+      "loss": 5.5619,
+      "mean_token_accuracy": 0.1629435494542122,
+      "num_tokens": 5754824.0,
+      "step": 3160
+    },
+    {
+      "entropy": 5.638229656219482,
+      "epoch": 2.6222038111019055,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045881502097074023,
+      "loss": 5.537,
+      "mean_token_accuracy": 0.1518124133348465,
+      "num_tokens": 5764863.0,
+      "step": 3165
+    },
+    {
+      "entropy": 5.614318180084228,
+      "epoch": 2.6263463131731566,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004586305474160212,
+      "loss": 5.5459,
+      "mean_token_accuracy": 0.15642993301153182,
+      "num_tokens": 5774273.0,
+      "step": 3170
+    },
+    {
+      "entropy": 5.666326427459717,
+      "epoch": 2.6304888152444077,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045844570345842116,
+      "loss": 5.5044,
+      "mean_token_accuracy": 0.16042826995253562,
+      "num_tokens": 5784085.0,
+      "step": 3175
+    },
+    {
+      "entropy": 5.659371709823608,
+      "epoch": 2.634631317315659,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004582604894707906,
+      "loss": 5.5336,
+      "mean_token_accuracy": 0.16884370446205138,
+      "num_tokens": 5793921.0,
+      "step": 3180
+    },
+    {
+      "entropy": 5.664378356933594,
+      "epoch": 2.63877381938691,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00045807490582672634,
+      "loss": 5.4972,
+      "mean_token_accuracy": 0.15294444859027861,
+      "num_tokens": 5803902.0,
+      "step": 3185
+    },
+    {
+      "entropy": 5.542481708526611,
+      "epoch": 2.6429163214581606,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00045788895290057083,
+      "loss": 5.4129,
+      "mean_token_accuracy": 0.16788192689418793,
+      "num_tokens": 5812089.0,
+      "step": 3190
+    },
+    {
+      "entropy": 5.6802209377288815,
+      "epoch": 2.6470588235294117,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00045770263106741137,
+      "loss": 5.5784,
+      "mean_token_accuracy": 0.1578851893544197,
+      "num_tokens": 5821072.0,
+      "step": 3195
+    },
+    {
+      "entropy": 5.628516340255738,
+      "epoch": 2.651201325600663,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004575159407030797,
+      "loss": 5.4029,
+      "mean_token_accuracy": 0.16388181746006011,
+      "num_tokens": 5829725.0,
+      "step": 3200
+    },
+    {
+      "entropy": 5.500157403945923,
+      "epoch": 2.655343827671914,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004573288821841505,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16496249735355378,
+      "num_tokens": 5838153.0,
+      "step": 3205
+    },
+    {
+      "entropy": 5.616616106033325,
+      "epoch": 2.659486329743165,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004571414558879413,
+      "loss": 5.4409,
+      "mean_token_accuracy": 0.15448423773050307,
+      "num_tokens": 5847270.0,
+      "step": 3210
+    },
+    {
+      "entropy": 5.6490891456604,
+      "epoch": 2.6636288318144157,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004569536621925114,
+      "loss": 5.5472,
+      "mean_token_accuracy": 0.15474478006362916,
+      "num_tokens": 5855954.0,
+      "step": 3215
+    },
+    {
+      "entropy": 5.634416961669922,
+      "epoch": 2.667771333885667,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004567655014766612,
+      "loss": 5.4529,
+      "mean_token_accuracy": 0.16163208782672883,
+      "num_tokens": 5864435.0,
+      "step": 3220
+    },
+    {
+      "entropy": 5.624909925460815,
+      "epoch": 2.671913835956918,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004565769741199314,
+      "loss": 5.5135,
+      "mean_token_accuracy": 0.1572384186089039,
+      "num_tokens": 5873964.0,
+      "step": 3225
+    },
+    {
+      "entropy": 5.727962255477905,
+      "epoch": 2.676056338028169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045638808050260237,
+      "loss": 5.4648,
+      "mean_token_accuracy": 0.16628578454256057,
+      "num_tokens": 5882738.0,
+      "step": 3230
+    },
+    {
+      "entropy": 5.587652635574341,
+      "epoch": 2.68019884009942,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00045619882100569317,
+      "loss": 5.5925,
+      "mean_token_accuracy": 0.15854242593050002,
+      "num_tokens": 5891749.0,
+      "step": 3235
+    },
+    {
+      "entropy": 5.627515649795532,
+      "epoch": 2.684341342170671,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004560091960109608,
+      "loss": 5.5372,
+      "mean_token_accuracy": 0.15811603218317033,
+      "num_tokens": 5900551.0,
+      "step": 3240
+    },
+    {
+      "entropy": 5.661735343933105,
+      "epoch": 2.6884838442419223,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004558192059008996,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.1517203629016876,
+      "num_tokens": 5909254.0,
+      "step": 3245
+    },
+    {
+      "entropy": 5.599635648727417,
+      "epoch": 2.692626346313173,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004556288510587406,
+      "loss": 5.4987,
+      "mean_token_accuracy": 0.15817683488130568,
+      "num_tokens": 5918357.0,
+      "step": 3250
+    },
+    {
+      "entropy": 5.662895679473877,
+      "epoch": 2.696768848384424,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00045543813186845004,
+      "loss": 5.5021,
+      "mean_token_accuracy": 0.15579704195261002,
+      "num_tokens": 5927742.0,
+      "step": 3255
+    },
+    {
+      "entropy": 5.627440690994263,
+      "epoch": 2.700911350455675,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004552470487147294,
+      "loss": 5.5823,
+      "mean_token_accuracy": 0.1556493915617466,
+      "num_tokens": 5937025.0,
+      "step": 3260
+    },
+    {
+      "entropy": 5.70678014755249,
+      "epoch": 2.7050538525269263,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045505560198301443,
+      "loss": 5.5615,
+      "mean_token_accuracy": 0.15135139375925064,
+      "num_tokens": 5946176.0,
+      "step": 3265
+    },
+    {
+      "entropy": 5.659924745559692,
+      "epoch": 2.7091963545981774,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045486379205947396,
+      "loss": 5.5233,
+      "mean_token_accuracy": 0.1584411159157753,
+      "num_tokens": 5955550.0,
+      "step": 3270
+    },
+    {
+      "entropy": 5.594695281982422,
+      "epoch": 2.713338856669428,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004546716193310098,
+      "loss": 5.4541,
+      "mean_token_accuracy": 0.1651945412158966,
+      "num_tokens": 5964467.0,
+      "step": 3275
+    },
+    {
+      "entropy": 5.605531787872314,
+      "epoch": 2.717481358740679,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000454479084185255,
+      "loss": 5.4855,
+      "mean_token_accuracy": 0.1514287754893303,
+      "num_tokens": 5973906.0,
+      "step": 3280
+    },
+    {
+      "entropy": 5.696796035766601,
+      "epoch": 2.7216238608119303,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004542861870105743,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.15694239139556884,
+      "num_tokens": 5983701.0,
+      "step": 3285
+    },
+    {
+      "entropy": 5.623150444030761,
+      "epoch": 2.7257663628831814,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045409292819606224,
+      "loss": 5.4971,
+      "mean_token_accuracy": 0.16068210303783417,
+      "num_tokens": 5993367.0,
+      "step": 3290
+    },
+    {
+      "entropy": 5.646857404708863,
+      "epoch": 2.7299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045389930813154297,
+      "loss": 5.4519,
+      "mean_token_accuracy": 0.16334805637598038,
+      "num_tokens": 6003752.0,
+      "step": 3295
+    },
+    {
+      "entropy": 5.675233459472656,
+      "epoch": 2.7340513670256836,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004537053272075693,
+      "loss": 5.5263,
+      "mean_token_accuracy": 0.1621565416455269,
+      "num_tokens": 6012486.0,
+      "step": 3300
+    },
+    {
+      "entropy": 5.5136041164398195,
+      "epoch": 2.7381938690969347,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045351098581542204,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.163838130235672,
+      "num_tokens": 6020742.0,
+      "step": 3305
+    },
+    {
+      "entropy": 5.646917295455933,
+      "epoch": 2.742336371168186,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004533162843471089,
+      "loss": 5.5009,
+      "mean_token_accuracy": 0.15474170595407485,
+      "num_tokens": 6030248.0,
+      "step": 3310
+    },
+    {
+      "entropy": 5.632185411453247,
+      "epoch": 2.7464788732394365,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004531212231953641,
+      "loss": 5.5436,
+      "mean_token_accuracy": 0.15157791674137117,
+      "num_tokens": 6039293.0,
+      "step": 3315
+    },
+    {
+      "entropy": 5.587828540802002,
+      "epoch": 2.7506213753106876,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004529258027536473,
+      "loss": 5.4134,
+      "mean_token_accuracy": 0.16378402560949326,
+      "num_tokens": 6048081.0,
+      "step": 3320
+    },
+    {
+      "entropy": 5.673684549331665,
+      "epoch": 2.7547638773819387,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004527300234161428,
+      "loss": 5.5753,
+      "mean_token_accuracy": 0.15969255268573762,
+      "num_tokens": 6057549.0,
+      "step": 3325
+    },
+    {
+      "entropy": 5.646554040908813,
+      "epoch": 2.75890637945319,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004525338855777591,
+      "loss": 5.5589,
+      "mean_token_accuracy": 0.15469738617539405,
+      "num_tokens": 6067372.0,
+      "step": 3330
+    },
+    {
+      "entropy": 5.595069122314453,
+      "epoch": 2.7630488815244405,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045233738963412746,
+      "loss": 5.4181,
+      "mean_token_accuracy": 0.1717814713716507,
+      "num_tokens": 6075532.0,
+      "step": 3335
+    },
+    {
+      "entropy": 5.5924467086792,
+      "epoch": 2.7671913835956916,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045214053598160173,
+      "loss": 5.4439,
+      "mean_token_accuracy": 0.16404369622468948,
+      "num_tokens": 6084389.0,
+      "step": 3340
+    },
+    {
+      "entropy": 5.598109579086303,
+      "epoch": 2.7713338856669427,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045194332501725725,
+      "loss": 5.4706,
+      "mean_token_accuracy": 0.16428767740726472,
+      "num_tokens": 6093536.0,
+      "step": 3345
+    },
+    {
+      "entropy": 5.637304496765137,
+      "epoch": 2.775476387738194,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00045174575713889014,
+      "loss": 5.5167,
+      "mean_token_accuracy": 0.16573925465345382,
+      "num_tokens": 6102677.0,
+      "step": 3350
+    },
+    {
+      "entropy": 5.677533674240112,
+      "epoch": 2.779618889809445,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004515478327450164,
+      "loss": 5.5926,
+      "mean_token_accuracy": 0.156404609978199,
+      "num_tokens": 6112430.0,
+      "step": 3355
+    },
+    {
+      "entropy": 5.643227863311767,
+      "epoch": 2.783761391880696,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00045134955223487093,
+      "loss": 5.4889,
+      "mean_token_accuracy": 0.16630716919898986,
+      "num_tokens": 6121408.0,
+      "step": 3360
+    },
+    {
+      "entropy": 5.57972674369812,
+      "epoch": 2.787903893951947,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00045115091600840757,
+      "loss": 5.5188,
+      "mean_token_accuracy": 0.15800442099571227,
+      "num_tokens": 6131339.0,
+      "step": 3365
+    },
+    {
+      "entropy": 5.624274778366089,
+      "epoch": 2.7920463960231983,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00045095192446629697,
+      "loss": 5.4816,
+      "mean_token_accuracy": 0.16174803227186202,
+      "num_tokens": 6140590.0,
+      "step": 3370
+    },
+    {
+      "entropy": 5.704814815521241,
+      "epoch": 2.796188898094449,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000450752578009927,
+      "loss": 5.5621,
+      "mean_token_accuracy": 0.1653067871928215,
+      "num_tokens": 6149958.0,
+      "step": 3375
+    },
+    {
+      "entropy": 5.58657054901123,
+      "epoch": 2.8003314001657,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045055287704140115,
+      "loss": 5.4346,
+      "mean_token_accuracy": 0.15949429720640182,
+      "num_tokens": 6159411.0,
+      "step": 3380
+    },
+    {
+      "entropy": 5.595387983322143,
+      "epoch": 2.804473902236951,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004503528219635381,
+      "loss": 5.5138,
+      "mean_token_accuracy": 0.1545591250061989,
+      "num_tokens": 6169264.0,
+      "step": 3385
+    },
+    {
+      "entropy": 5.617677021026611,
+      "epoch": 2.8086164043082023,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004501524131798709,
+      "loss": 5.4826,
+      "mean_token_accuracy": 0.16332829892635345,
+      "num_tokens": 6178374.0,
+      "step": 3390
+    },
+    {
+      "entropy": 5.7183191776275635,
+      "epoch": 2.812758906379453,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000449951651094646,
+      "loss": 5.4697,
+      "mean_token_accuracy": 0.15537519603967667,
+      "num_tokens": 6186918.0,
+      "step": 3395
+    },
+    {
+      "entropy": 5.566522169113159,
+      "epoch": 2.816901408450704,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044975053611282217,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.1613329365849495,
+      "num_tokens": 6196400.0,
+      "step": 3400
+    },
+    {
+      "entropy": 5.514105558395386,
+      "epoch": 2.821043910521955,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004495490686400706,
+      "loss": 5.3941,
+      "mean_token_accuracy": 0.1649619847536087,
+      "num_tokens": 6204849.0,
+      "step": 3405
+    },
+    {
+      "entropy": 5.615210485458374,
+      "epoch": 2.8251864125932062,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00044934724908277313,
+      "loss": 5.4834,
+      "mean_token_accuracy": 0.16362717300653457,
+      "num_tokens": 6214121.0,
+      "step": 3410
+    },
+    {
+      "entropy": 5.654720067977905,
+      "epoch": 2.8293289146644574,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044914507784802184,
+      "loss": 5.4835,
+      "mean_token_accuracy": 0.16509974151849746,
+      "num_tokens": 6223163.0,
+      "step": 3415
+    },
+    {
+      "entropy": 5.641624307632446,
+      "epoch": 2.8334714167357085,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004489425553436182,
+      "loss": 5.5084,
+      "mean_token_accuracy": 0.15882937759160995,
+      "num_tokens": 6231581.0,
+      "step": 3420
+    },
+    {
+      "entropy": 5.659383153915405,
+      "epoch": 2.8376139188069596,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00044873968197807213,
+      "loss": 5.5838,
+      "mean_token_accuracy": 0.1599879801273346,
+      "num_tokens": 6240015.0,
+      "step": 3425
+    },
+    {
+      "entropy": 5.666435050964355,
+      "epoch": 2.8417564208782107,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044853645816060156,
+      "loss": 5.5979,
+      "mean_token_accuracy": 0.1532062940299511,
+      "num_tokens": 6249083.0,
+      "step": 3430
+    },
+    {
+      "entropy": 5.6627098560333256,
+      "epoch": 2.8458989229494613,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00044833288430113104,
+      "loss": 5.5496,
+      "mean_token_accuracy": 0.1654196172952652,
+      "num_tokens": 6258798.0,
+      "step": 3435
+    },
+    {
+      "entropy": 5.609176588058472,
+      "epoch": 2.8500414250207124,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00044812896081029136,
+      "loss": 5.4023,
+      "mean_token_accuracy": 0.16617698073387147,
+      "num_tokens": 6267819.0,
+      "step": 3440
+    },
+    {
+      "entropy": 5.626215600967408,
+      "epoch": 2.8541839270919636,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004479246880994183,
+      "loss": 5.4804,
+      "mean_token_accuracy": 0.15876610353589057,
+      "num_tokens": 6276915.0,
+      "step": 3445
+    },
+    {
+      "entropy": 5.627827167510986,
+      "epoch": 2.8583264291632147,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004477200665805525,
+      "loss": 5.5216,
+      "mean_token_accuracy": 0.15861138105392455,
+      "num_tokens": 6285880.0,
+      "step": 3450
+    },
+    {
+      "entropy": 5.6323963642120365,
+      "epoch": 2.8624689312344658,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00044751509666643777,
+      "loss": 5.6351,
+      "mean_token_accuracy": 0.14970673844218255,
+      "num_tokens": 6295408.0,
+      "step": 3455
+    },
+    {
+      "entropy": 5.6166990280151365,
+      "epoch": 2.8666114333057164,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044730977877052084,
+      "loss": 5.3753,
+      "mean_token_accuracy": 0.16562075018882752,
+      "num_tokens": 6304110.0,
+      "step": 3460
+    },
+    {
+      "entropy": 5.669659185409546,
+      "epoch": 2.8707539353769675,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00044710411330695045,
+      "loss": 5.5254,
+      "mean_token_accuracy": 0.15842530727386475,
+      "num_tokens": 6312577.0,
+      "step": 3465
+    },
+    {
+      "entropy": 5.738371801376343,
+      "epoch": 2.8748964374482187,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00044689810069057615,
+      "loss": 5.606,
+      "mean_token_accuracy": 0.15023296922445298,
+      "num_tokens": 6321766.0,
+      "step": 3470
+    },
+    {
+      "entropy": 5.642851161956787,
+      "epoch": 2.8790389395194698,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004466917413369479,
+      "loss": 5.5731,
+      "mean_token_accuracy": 0.151870658993721,
+      "num_tokens": 6330327.0,
+      "step": 3475
+    },
+    {
+      "entropy": 5.577242517471314,
+      "epoch": 2.883181441590721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004464850356623152,
+      "loss": 5.4926,
+      "mean_token_accuracy": 0.16011006087064744,
+      "num_tokens": 6339596.0,
+      "step": 3480
+    },
+    {
+      "entropy": 5.613158226013184,
+      "epoch": 2.887323943661972,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00044627798408362597,
+      "loss": 5.3986,
+      "mean_token_accuracy": 0.1670537531375885,
+      "num_tokens": 6348080.0,
+      "step": 3485
+    },
+    {
+      "entropy": 5.613135099411011,
+      "epoch": 2.891466445733223,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004460705870185258,
+      "loss": 5.5277,
+      "mean_token_accuracy": 0.15435466170310974,
+      "num_tokens": 6357725.0,
+      "step": 3490
+    },
+    {
+      "entropy": 5.627930736541748,
+      "epoch": 2.8956089478044738,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004458628448853572,
+      "loss": 5.4831,
+      "mean_token_accuracy": 0.16073092967271804,
+      "num_tokens": 6366821.0,
+      "step": 3495
+    },
+    {
+      "entropy": 5.729347085952758,
+      "epoch": 2.899751449875725,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004456547581031589,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.15560299083590506,
+      "num_tokens": 6375641.0,
+      "step": 3500
+    },
+    {
+      "epoch": 2.899751449875725,
+      "eval_entropy": 5.414937326394673,
+      "eval_loss": 5.899942874908447,
+      "eval_mean_token_accuracy": 0.15183768343569629,
+      "eval_num_tokens": 6375641.0,
+      "eval_runtime": 2.9583,
+      "eval_samples_per_second": 1266.605,
+      "eval_steps_per_second": 158.537,
+      "step": 3500
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 12060,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 9510961069440000.0,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}
diff --git a/checkpoint-3500/training_args.bin b/checkpoint-3500/training_args.bin
new file mode 100644
index 0000000..47a7b32
--- /dev/null
+++ b/checkpoint-3500/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e406e906697be5d5c4bea7f90a038122ca162eb6b7e40512a32661ef55af9075
+size 6353
diff --git a/checkpoint-4000/added_tokens.json b/checkpoint-4000/added_tokens.json
new file mode 100644
index 0000000..b3dbcdb
--- /dev/null
+++ b/checkpoint-4000/added_tokens.json
@@ -0,0 +1,1202 @@
+{
+  "<pad>": 50002,
+  "[CLS]": 50000,
+  "[MASK]": 50003,
+  "[SEP]": 50001,
+  "[XXXXX0]": 50771,
+  "[XXXXX1000]": 50549,
+  "[XXXXX1001]": 50657,
+  "[XXXXX1002]": 51158,
+  "[XXXXX1003]": 51044,
+  "[XXXXX1004]": 50688,
+  "[XXXXX1005]": 50689,
+  "[XXXXX1006]": 50410,
+  "[XXXXX1007]": 50724,
+  "[XXXXX1008]": 50171,
+  "[XXXXX1009]": 51077,
+  "[XXXXX100]": 50091,
+  "[XXXXX1010]": 50639,
+  "[XXXXX1011]": 51094,
+  "[XXXXX1012]": 50392,
+  "[XXXXX1013]": 50626,
+  "[XXXXX1014]": 50991,
+  "[XXXXX1015]": 50529,
+  "[XXXXX1016]": 51193,
+  "[XXXXX1017]": 51073,
+  "[XXXXX1018]": 51104,
+  "[XXXXX1019]": 50775,
+  "[XXXXX101]": 50139,
+  "[XXXXX1020]": 50157,
+  "[XXXXX1021]": 50934,
+  "[XXXXX1022]": 51159,
+  "[XXXXX1023]": 50048,
+  "[XXXXX1024]": 51123,
+  "[XXXXX1025]": 50084,
+  "[XXXXX1026]": 50813,
+  "[XXXXX1027]": 50725,
+  "[XXXXX1028]": 50931,
+  "[XXXXX1029]": 50233,
+  "[XXXXX102]": 50213,
+  "[XXXXX1030]": 51023,
+  "[XXXXX1031]": 50098,
+  "[XXXXX1032]": 50802,
+  "[XXXXX1033]": 50061,
+  "[XXXXX1034]": 51139,
+  "[XXXXX1035]": 51110,
+  "[XXXXX1036]": 50204,
+  "[XXXXX1037]": 50023,
+  "[XXXXX1038]": 50142,
+  "[XXXXX1039]": 50328,
+  "[XXXXX103]": 50087,
+  "[XXXXX1040]": 50435,
+  "[XXXXX1041]": 50489,
+  "[XXXXX1042]": 50216,
+  "[XXXXX1043]": 50144,
+  "[XXXXX1044]": 50832,
+  "[XXXXX1045]": 50566,
+  "[XXXXX1046]": 50922,
+  "[XXXXX1047]": 50796,
+  "[XXXXX1048]": 50533,
+  "[XXXXX1049]": 50433,
+  "[XXXXX104]": 50478,
+  "[XXXXX1050]": 50953,
+  "[XXXXX1051]": 50497,
+  "[XXXXX1052]": 50655,
+  "[XXXXX1053]": 50881,
+  "[XXXXX1054]": 50461,
+  "[XXXXX1055]": 50052,
+  "[XXXXX1056]": 50219,
+  "[XXXXX1057]": 50789,
+  "[XXXXX1058]": 50121,
+  "[XXXXX1059]": 51002,
+  "[XXXXX105]": 51192,
+  "[XXXXX1060]": 50158,
+  "[XXXXX1061]": 50352,
+  "[XXXXX1062]": 50637,
+  "[XXXXX1063]": 50440,
+  "[XXXXX1064]": 50590,
+  "[XXXXX1065]": 51107,
+  "[XXXXX1066]": 50758,
+  "[XXXXX1067]": 51011,
+  "[XXXXX1068]": 50985,
+  "[XXXXX1069]": 51175,
+  "[XXXXX106]": 50532,
+  "[XXXXX1070]": 50790,
+  "[XXXXX1071]": 50394,
+  "[XXXXX1072]": 50852,
+  "[XXXXX1073]": 50869,
+  "[XXXXX1074]": 50126,
+  "[XXXXX1075]": 50783,
+  "[XXXXX1076]": 50806,
+  "[XXXXX1077]": 50882,
+  "[XXXXX1078]": 50726,
+  "[XXXXX1079]": 51010,
+  "[XXXXX107]": 50714,
+  "[XXXXX1080]": 50168,
+  "[XXXXX1081]": 50425,
+  "[XXXXX1082]": 50848,
+  "[XXXXX1083]": 50014,
+  "[XXXXX1084]": 50341,
+  "[XXXXX1085]": 50734,
+  "[XXXXX1086]": 50664,
+  "[XXXXX1087]": 51007,
+  "[XXXXX1088]": 51151,
+  "[XXXXX1089]": 50269,
+  "[XXXXX108]": 50996,
+  "[XXXXX1090]": 50826,
+  "[XXXXX1091]": 51105,
+  "[XXXXX1092]": 50731,
+  "[XXXXX1093]": 50856,
+  "[XXXXX1094]": 50369,
+  "[XXXXX1095]": 50065,
+  "[XXXXX1096]": 50309,
+  "[XXXXX1097]": 50838,
+  "[XXXXX1098]": 50451,
+  "[XXXXX1099]": 50384,
+  "[XXXXX109]": 50543,
+  "[XXXXX10]": 50325,
+  "[XXXXX1100]": 50318,
+  "[XXXXX1101]": 50764,
+  "[XXXXX1102]": 51025,
+  "[XXXXX1103]": 50642,
+  "[XXXXX1104]": 50665,
+  "[XXXXX1105]": 50855,
+  "[XXXXX1106]": 51063,
+  "[XXXXX1107]": 50025,
+  "[XXXXX1108]": 50122,
+  "[XXXXX1109]": 50470,
+  "[XXXXX110]": 50062,
+  "[XXXXX1110]": 51019,
+  "[XXXXX1111]": 51124,
+  "[XXXXX1112]": 50146,
+  "[XXXXX1113]": 51125,
+  "[XXXXX1114]": 50434,
+  "[XXXXX1115]": 50818,
+  "[XXXXX1116]": 50960,
+  "[XXXXX1117]": 50258,
+  "[XXXXX1118]": 50596,
+  "[XXXXX1119]": 50083,
+  "[XXXXX111]": 51064,
+  "[XXXXX1120]": 50915,
+  "[XXXXX1121]": 50835,
+  "[XXXXX1122]": 51056,
+  "[XXXXX1123]": 50172,
+  "[XXXXX1124]": 50972,
+  "[XXXXX1125]": 50275,
+  "[XXXXX1126]": 50430,
+  "[XXXXX1127]": 50743,
+  "[XXXXX1128]": 50551,
+  "[XXXXX1129]": 50439,
+  "[XXXXX112]": 50819,
+  "[XXXXX1130]": 50536,
+  "[XXXXX1131]": 50622,
+  "[XXXXX1132]": 50623,
+  "[XXXXX1133]": 50117,
+  "[XXXXX1134]": 50251,
+  "[XXXXX1135]": 50678,
+  "[XXXXX1136]": 50316,
+  "[XXXXX1137]": 50905,
+  "[XXXXX1138]": 50992,
+  "[XXXXX1139]": 50851,
+  "[XXXXX113]": 50443,
+  "[XXXXX1140]": 50499,
+  "[XXXXX1141]": 50629,
+  "[XXXXX1142]": 50944,
+  "[XXXXX1143]": 50373,
+  "[XXXXX1144]": 50123,
+  "[XXXXX1145]": 50173,
+  "[XXXXX1146]": 50891,
+  "[XXXXX1147]": 50471,
+  "[XXXXX1148]": 50560,
+  "[XXXXX1149]": 50541,
+  "[XXXXX114]": 50631,
+  "[XXXXX1150]": 50033,
+  "[XXXXX1151]": 50063,
+  "[XXXXX1152]": 50767,
+  "[XXXXX1153]": 50897,
+  "[XXXXX1154]": 50568,
+  "[XXXXX1155]": 51131,
+  "[XXXXX1156]": 50009,
+  "[XXXXX1157]": 50417,
+  "[XXXXX1158]": 50477,
+  "[XXXXX1159]": 50941,
+  "[XXXXX115]": 50294,
+  "[XXXXX1160]": 50679,
+  "[XXXXX1161]": 51108,
+  "[XXXXX1162]": 50332,
+  "[XXXXX1163]": 50424,
+  "[XXXXX1164]": 50473,
+  "[XXXXX1165]": 50793,
+  "[XXXXX1166]": 50453,
+  "[XXXXX1167]": 50807,
+  "[XXXXX1168]": 50128,
+  "[XXXXX1169]": 50039,
+  "[XXXXX116]": 50759,
+  "[XXXXX1170]": 50735,
+  "[XXXXX1171]": 50366,
+  "[XXXXX1172]": 50808,
+  "[XXXXX1173]": 50426,
+  "[XXXXX1174]": 50076,
+  "[XXXXX1175]": 50943,
+  "[XXXXX1176]": 50252,
+  "[XXXXX1177]": 50999,
+  "[XXXXX1178]": 50264,
+  "[XXXXX1179]": 50607,
+  "[XXXXX117]": 51036,
+  "[XXXXX1180]": 50986,
+  "[XXXXX1181]": 50744,
+  "[XXXXX1182]": 50186,
+  "[XXXXX1183]": 50555,
+  "[XXXXX1184]": 51076,
+  "[XXXXX1185]": 50849,
+  "[XXXXX1186]": 51128,
+  "[XXXXX1187]": 50858,
+  "[XXXXX1188]": 50656,
+  "[XXXXX1189]": 50064,
+  "[XXXXX118]": 50081,
+  "[XXXXX1190]": 51197,
+  "[XXXXX1191]": 50104,
+  "[XXXXX1192]": 50045,
+  "[XXXXX1193]": 50404,
+  "[XXXXX1194]": 50690,
+  "[XXXXX1195]": 50495,
+  "[XXXXX119]": 50108,
+  "[XXXXX11]": 50976,
+  "[XXXXX120]": 51081,
+  "[XXXXX121]": 50464,
+  "[XXXXX122]": 50829,
+  "[XXXXX123]": 50766,
+  "[XXXXX124]": 50732,
+  "[XXXXX125]": 50221,
+  "[XXXXX126]": 50810,
+  "[XXXXX127]": 50130,
+  "[XXXXX128]": 50751,
+  "[XXXXX129]": 50662,
+  "[XXXXX12]": 50602,
+  "[XXXXX130]": 50035,
+  "[XXXXX131]": 50715,
+  "[XXXXX132]": 50340,
+  "[XXXXX133]": 50563,
+  "[XXXXX134]": 50993,
+  "[XXXXX135]": 50304,
+  "[XXXXX136]": 50131,
+  "[XXXXX137]": 50578,
+  "[XXXXX138]": 50757,
+  "[XXXXX139]": 50582,
+  "[XXXXX13]": 50105,
+  "[XXXXX140]": 50085,
+  "[XXXXX141]": 50553,
+  "[XXXXX142]": 50749,
+  "[XXXXX143]": 50351,
+  "[XXXXX144]": 51024,
+  "[XXXXX145]": 51144,
+  "[XXXXX146]": 50042,
+  "[XXXXX147]": 50145,
+  "[XXXXX148]": 50066,
+  "[XXXXX149]": 50876,
+  "[XXXXX14]": 51006,
+  "[XXXXX150]": 50280,
+  "[XXXXX151]": 50093,
+  "[XXXXX152]": 50638,
+  "[XXXXX153]": 50684,
+  "[XXXXX154]": 50820,
+  "[XXXXX155]": 51196,
+  "[XXXXX156]": 50317,
+  "[XXXXX157]": 50284,
+  "[XXXXX158]": 50288,
+  "[XXXXX159]": 50814,
+  "[XXXXX15]": 50608,
+  "[XXXXX160]": 50004,
+  "[XXXXX161]": 50008,
+  "[XXXXX162]": 50377,
+  "[XXXXX163]": 50214,
+  "[XXXXX164]": 50708,
+  "[XXXXX165]": 50390,
+  "[XXXXX166]": 50741,
+  "[XXXXX167]": 50445,
+  "[XXXXX168]": 50936,
+  "[XXXXX169]": 50896,
+  "[XXXXX16]": 50442,
+  "[XXXXX170]": 50109,
+  "[XXXXX171]": 50140,
+  "[XXXXX172]": 50427,
+  "[XXXXX173]": 51074,
+  "[XXXXX174]": 50162,
+  "[XXXXX175]": 51015,
+  "[XXXXX176]": 50524,
+  "[XXXXX177]": 50673,
+  "[XXXXX178]": 50054,
+  "[XXXXX179]": 50805,
+  "[XXXXX17]": 50482,
+  "[XXXXX180]": 50253,
+  "[XXXXX181]": 50493,
+  "[XXXXX182]": 50421,
+  "[XXXXX183]": 51050,
+  "[XXXXX184]": 50521,
+  "[XXXXX185]": 50188,
+  "[XXXXX186]": 50147,
+  "[XXXXX187]": 50201,
+  "[XXXXX188]": 50973,
+  "[XXXXX189]": 50409,
+  "[XXXXX18]": 50115,
+  "[XXXXX190]": 50051,
+  "[XXXXX191]": 51020,
+  "[XXXXX192]": 51047,
+  "[XXXXX193]": 50669,
+  "[XXXXX194]": 50643,
+  "[XXXXX195]": 50159,
+  "[XXXXX196]": 50649,
+  "[XXXXX197]": 51178,
+  "[XXXXX198]": 50043,
+  "[XXXXX199]": 51147,
+  "[XXXXX19]": 51127,
+  "[XXXXX1]": 51114,
+  "[XXXXX200]": 50840,
+  "[XXXXX201]": 50365,
+  "[XXXXX202]": 50232,
+  "[XXXXX203]": 50241,
+  "[XXXXX204]": 50548,
+  "[XXXXX205]": 50781,
+  "[XXXXX206]": 50923,
+  "[XXXXX207]": 51115,
+  "[XXXXX208]": 50344,
+  "[XXXXX209]": 50299,
+  "[XXXXX20]": 51031,
+  "[XXXXX210]": 51179,
+  "[XXXXX211]": 51163,
+  "[XXXXX212]": 50562,
+  "[XXXXX213]": 50094,
+  "[XXXXX214]": 50257,
+  "[XXXXX215]": 50967,
+  "[XXXXX216]": 50523,
+  "[XXXXX217]": 51132,
+  "[XXXXX218]": 51146,
+  "[XXXXX219]": 50411,
+  "[XXXXX21]": 50354,
+  "[XXXXX220]": 50853,
+  "[XXXXX221]": 50886,
+  "[XXXXX222]": 50600,
+  "[XXXXX223]": 50873,
+  "[XXXXX224]": 50416,
+  "[XXXXX225]": 50675,
+  "[XXXXX226]": 50583,
+  "[XXXXX227]": 50151,
+  "[XXXXX228]": 50927,
+  "[XXXXX229]": 50609,
+  "[XXXXX22]": 50589,
+  "[XXXXX230]": 50238,
+  "[XXXXX231]": 50242,
+  "[XXXXX232]": 51016,
+  "[XXXXX233]": 50406,
+  "[XXXXX234]": 50908,
+  "[XXXXX235]": 50024,
+  "[XXXXX236]": 50270,
+  "[XXXXX237]": 50132,
+  "[XXXXX238]": 50800,
+  "[XXXXX239]": 50236,
+  "[XXXXX23]": 50007,
+  "[XXXXX240]": 50005,
+  "[XXXXX241]": 50894,
+  "[XXXXX242]": 50694,
+  "[XXXXX243]": 51071,
+  "[XXXXX244]": 51017,
+  "[XXXXX245]": 50068,
+  "[XXXXX246]": 50682,
+  "[XXXXX247]": 50913,
+  "[XXXXX248]": 51028,
+  "[XXXXX249]": 50037,
+  "[XXXXX24]": 51169,
+  "[XXXXX250]": 50747,
+  "[XXXXX251]": 50947,
+  "[XXXXX252]": 50329,
+  "[XXXXX253]": 50612,
+  "[XXXXX254]": 50110,
+  "[XXXXX255]": 50824,
+  "[XXXXX256]": 50558,
+  "[XXXXX257]": 50969,
+  "[XXXXX258]": 50729,
+  "[XXXXX259]": 50125,
+  "[XXXXX25]": 51160,
+  "[XXXXX260]": 50040,
+  "[XXXXX261]": 51038,
+  "[XXXXX262]": 50347,
+  "[XXXXX263]": 50740,
+  "[XXXXX264]": 51195,
+  "[XXXXX265]": 50879,
+  "[XXXXX266]": 50770,
+  "[XXXXX267]": 50178,
+  "[XXXXX268]": 50804,
+  "[XXXXX269]": 50906,
+  "[XXXXX26]": 50150,
+  "[XXXXX270]": 51191,
+  "[XXXXX271]": 50047,
+  "[XXXXX272]": 50195,
+  "[XXXXX273]": 50554,
+  "[XXXXX274]": 50833,
+  "[XXXXX275]": 50346,
+  "[XXXXX276]": 50950,
+  "[XXXXX277]": 50864,
+  "[XXXXX278]": 50259,
+  "[XXXXX279]": 50671,
+  "[XXXXX27]": 50468,
+  "[XXXXX280]": 50082,
+  "[XXXXX281]": 50565,
+  "[XXXXX282]": 50984,
+  "[XXXXX283]": 50650,
+  "[XXXXX284]": 50975,
+  "[XXXXX285]": 50603,
+  "[XXXXX286]": 50027,
+  "[XXXXX287]": 50181,
+  "[XXXXX288]": 50981,
+  "[XXXXX289]": 50885,
+  "[XXXXX28]": 50249,
+  "[XXXXX290]": 50522,
+  "[XXXXX291]": 50050,
+  "[XXXXX292]": 50313,
+  "[XXXXX293]": 50503,
+  "[XXXXX294]": 51176,
+  "[XXXXX295]": 51177,
+  "[XXXXX296]": 50379,
+  "[XXXXX297]": 50635,
+  "[XXXXX298]": 50723,
+  "[XXXXX299]": 50200,
+  "[XXXXX29]": 50892,
+  "[XXXXX2]": 51119,
+  "[XXXXX300]": 51026,
+  "[XXXXX301]": 50528,
+  "[XXXXX302]": 51149,
+  "[XXXXX303]": 50044,
+  "[XXXXX304]": 50209,
+  "[XXXXX305]": 50988,
+  "[XXXXX306]": 50518,
+  "[XXXXX307]": 50088,
+  "[XXXXX308]": 50733,
+  "[XXXXX309]": 51066,
+  "[XXXXX30]": 50506,
+  "[XXXXX310]": 50285,
+  "[XXXXX311]": 50859,
+  "[XXXXX312]": 50263,
+  "[XXXXX313]": 50594,
+  "[XXXXX314]": 51103,
+  "[XXXXX315]": 50871,
+  "[XXXXX316]": 50300,
+  "[XXXXX317]": 50760,
+  "[XXXXX318]": 50055,
+  "[XXXXX319]": 50389,
+  "[XXXXX31]": 50212,
+  "[XXXXX320]": 50444,
+  "[XXXXX321]": 50994,
+  "[XXXXX322]": 50281,
+  "[XXXXX323]": 50179,
+  "[XXXXX324]": 50455,
+  "[XXXXX325]": 50970,
+  "[XXXXX326]": 50666,
+  "[XXXXX327]": 50604,
+  "[XXXXX328]": 50627,
+  "[XXXXX329]": 50475,
+  "[XXXXX32]": 50277,
+  "[XXXXX330]": 50667,
+  "[XXXXX331]": 50348,
+  "[XXXXX332]": 50772,
+  "[XXXXX333]": 50163,
+  "[XXXXX334]": 50569,
+  "[XXXXX335]": 50018,
+  "[XXXXX336]": 50883,
+  "[XXXXX337]": 50067,
+  "[XXXXX338]": 51184,
+  "[XXXXX339]": 50997,
+  "[XXXXX33]": 50403,
+  "[XXXXX340]": 51013,
+  "[XXXXX341]": 50957,
+  "[XXXXX342]": 51106,
+  "[XXXXX343]": 51174,
+  "[XXXXX344]": 50391,
+  "[XXXXX345]": 50948,
+  "[XXXXX346]": 50180,
+  "[XXXXX347]": 50811,
+  "[XXXXX348]": 50401,
+  "[XXXXX349]": 50911,
+  "[XXXXX34]": 50223,
+  "[XXXXX350]": 51089,
+  "[XXXXX351]": 50777,
+  "[XXXXX352]": 50189,
+  "[XXXXX353]": 50492,
+  "[XXXXX354]": 50205,
+  "[XXXXX355]": 50374,
+  "[XXXXX356]": 51152,
+  "[XXXXX357]": 50695,
+  "[XXXXX358]": 51117,
+  "[XXXXX359]": 50573,
+  "[XXXXX35]": 50752,
+  "[XXXXX360]": 50955,
+  "[XXXXX361]": 50349,
+  "[XXXXX362]": 51137,
+  "[XXXXX363]": 50641,
+  "[XXXXX364]": 51148,
+  "[XXXXX365]": 50255,
+  "[XXXXX366]": 50310,
+  "[XXXXX367]": 50314,
+  "[XXXXX368]": 50971,
+  "[XXXXX369]": 50916,
+  "[XXXXX36]": 50437,
+  "[XXXXX370]": 51096,
+  "[XXXXX371]": 50557,
+  "[XXXXX372]": 51095,
+  "[XXXXX373]": 50382,
+  "[XXXXX374]": 50119,
+  "[XXXXX375]": 50958,
+  "[XXXXX376]": 50624,
+  "[XXXXX377]": 50483,
+  "[XXXXX378]": 50605,
+  "[XXXXX379]": 50017,
+  "[XXXXX37]": 50706,
+  "[XXXXX380]": 50246,
+  "[XXXXX381]": 50588,
+  "[XXXXX382]": 51008,
+  "[XXXXX383]": 50801,
+  "[XXXXX384]": 50290,
+  "[XXXXX385]": 50899,
+  "[XXXXX386]": 50206,
+  "[XXXXX387]": 50716,
+  "[XXXXX388]": 51082,
+  "[XXXXX389]": 50177,
+  "[XXXXX38]": 50736,
+  "[XXXXX390]": 50282,
+  "[XXXXX391]": 51183,
+  "[XXXXX392]": 50286,
+  "[XXXXX393]": 50659,
+  "[XXXXX394]": 50378,
+  "[XXXXX395]": 50709,
+  "[XXXXX396]": 50028,
+  "[XXXXX397]": 50235,
+  "[XXXXX398]": 51014,
+  "[XXXXX399]": 50880,
+  "[XXXXX39]": 50305,
+  "[XXXXX3]": 50077,
+  "[XXXXX400]": 50155,
+  "[XXXXX401]": 50710,
+  "[XXXXX402]": 50507,
+  "[XXXXX403]": 50860,
+  "[XXXXX404]": 50661,
+  "[XXXXX405]": 51083,
+  "[XXXXX406]": 50888,
+  "[XXXXX407]": 50069,
+  "[XXXXX408]": 50691,
+  "[XXXXX409]": 51055,
+  "[XXXXX40]": 50337,
+  "[XXXXX410]": 50137,
+  "[XXXXX411]": 50791,
+  "[XXXXX412]": 50136,
+  "[XXXXX413]": 50730,
+  "[XXXXX414]": 50267,
+  "[XXXXX415]": 50012,
+  "[XXXXX416]": 50681,
+  "[XXXXX417]": 50942,
+  "[XXXXX418]": 50720,
+  "[XXXXX419]": 50844,
+  "[XXXXX41]": 50387,
+  "[XXXXX420]": 50111,
+  "[XXXXX421]": 51003,
+  "[XXXXX422]": 50785,
+  "[XXXXX423]": 50149,
+  "[XXXXX424]": 50422,
+  "[XXXXX425]": 51086,
+  "[XXXXX426]": 50862,
+  "[XXXXX427]": 50576,
+  "[XXXXX428]": 51049,
+  "[XXXXX429]": 50630,
+  "[XXXXX42]": 50799,
+  "[XXXXX430]": 50289,
+  "[XXXXX431]": 50184,
+  "[XXXXX432]": 50319,
+  "[XXXXX433]": 51116,
+  "[XXXXX434]": 50519,
+  "[XXXXX435]": 50496,
+  "[XXXXX436]": 50517,
+  "[XXXXX437]": 50865,
+  "[XXXXX438]": 50737,
+  "[XXXXX439]": 50356,
+  "[XXXXX43]": 50359,
+  "[XXXXX440]": 50898,
+  "[XXXXX441]": 50113,
+  "[XXXXX442]": 50527,
+  "[XXXXX443]": 50762,
+  "[XXXXX444]": 50540,
+  "[XXXXX445]": 50925,
+  "[XXXXX446]": 50711,
+  "[XXXXX447]": 50143,
+  "[XXXXX448]": 51170,
+  "[XXXXX449]": 50413,
+  "[XXXXX44]": 50097,
+  "[XXXXX450]": 50375,
+  "[XXXXX451]": 50846,
+  "[XXXXX452]": 50217,
+  "[XXXXX453]": 50699,
+  "[XXXXX454]": 50412,
+  "[XXXXX455]": 50418,
+  "[XXXXX456]": 51143,
+  "[XXXXX457]": 51141,
+  "[XXXXX458]": 51157,
+  "[XXXXX459]": 50825,
+  "[XXXXX45]": 50203,
+  "[XXXXX460]": 50194,
+  "[XXXXX461]": 50148,
+  "[XXXXX462]": 50276,
+  "[XXXXX463]": 50271,
+  "[XXXXX464]": 50836,
+  "[XXXXX465]": 50854,
+  "[XXXXX466]": 50164,
+  "[XXXXX467]": 50484,
+  "[XXXXX468]": 51097,
+  "[XXXXX469]": 50182,
+  "[XXXXX46]": 50505,
+  "[XXXXX470]": 50670,
+  "[XXXXX471]": 50595,
+  "[XXXXX472]": 50237,
+  "[XXXXX473]": 50057,
+  "[XXXXX474]": 50431,
+  "[XXXXX475]": 50738,
+  "[XXXXX476]": 51145,
+  "[XXXXX477]": 50247,
+  "[XXXXX478]": 50029,
+  "[XXXXX479]": 50917,
+  "[XXXXX47]": 50579,
+  "[XXXXX480]": 50702,
+  "[XXXXX481]": 50831,
+  "[XXXXX482]": 50753,
+  "[XXXXX483]": 50598,
+  "[XXXXX484]": 51136,
+  "[XXXXX485]": 50092,
+  "[XXXXX486]": 50202,
+  "[XXXXX487]": 50106,
+  "[XXXXX488]": 50924,
+  "[XXXXX489]": 51113,
+  "[XXXXX48]": 50842,
+  "[XXXXX490]": 50761,
+  "[XXXXX491]": 50577,
+  "[XXXXX492]": 50692,
+  "[XXXXX493]": 51130,
+  "[XXXXX494]": 50932,
+  "[XXXXX495]": 50837,
+  "[XXXXX496]": 50893,
+  "[XXXXX497]": 50773,
+  "[XXXXX498]": 50360,
+  "[XXXXX499]": 50900,
+  "[XXXXX49]": 51062,
+  "[XXXXX4]": 50396,
+  "[XXXXX500]": 51034,
+  "[XXXXX501]": 50472,
+  "[XXXXX502]": 50660,
+  "[XXXXX503]": 50815,
+  "[XXXXX504]": 50939,
+  "[XXXXX505]": 50419,
+  "[XXXXX506]": 50324,
+  "[XXXXX507]": 50428,
+  "[XXXXX508]": 50274,
+  "[XXXXX509]": 50311,
+  "[XXXXX50]": 50459,
+  "[XXXXX510]": 50674,
+  "[XXXXX511]": 50580,
+  "[XXXXX512]": 50956,
+  "[XXXXX513]": 50165,
+  "[XXXXX514]": 50320,
+  "[XXXXX515]": 50648,
+  "[XXXXX516]": 50386,
+  "[XXXXX517]": 50058,
+  "[XXXXX518]": 51045,
+  "[XXXXX519]": 50103,
+  "[XXXXX51]": 50979,
+  "[XXXXX520]": 50530,
+  "[XXXXX521]": 50907,
+  "[XXXXX522]": 50260,
+  "[XXXXX523]": 50632,
+  "[XXXXX524]": 50926,
+  "[XXXXX525]": 50687,
+  "[XXXXX526]": 50160,
+  "[XXXXX527]": 51053,
+  "[XXXXX528]": 50652,
+  "[XXXXX529]": 51041,
+  "[XXXXX52]": 50272,
+  "[XXXXX530]": 51111,
+  "[XXXXX531]": 51009,
+  "[XXXXX532]": 51079,
+  "[XXXXX533]": 50487,
+  "[XXXXX534]": 51059,
+  "[XXXXX535]": 50335,
+  "[XXXXX536]": 50380,
+  "[XXXXX537]": 50301,
+  "[XXXXX538]": 51067,
+  "[XXXXX539]": 51052,
+  "[XXXXX53]": 51048,
+  "[XXXXX540]": 50822,
+  "[XXXXX541]": 51040,
+  "[XXXXX542]": 50490,
+  "[XXXXX543]": 50448,
+  "[XXXXX544]": 50812,
+  "[XXXXX545]": 50099,
+  "[XXXXX546]": 51199,
+  "[XXXXX547]": 50226,
+  "[XXXXX548]": 50538,
+  "[XXXXX549]": 50342,
+  "[XXXXX54]": 50701,
+  "[XXXXX550]": 50544,
+  "[XXXXX551]": 50398,
+  "[XXXXX552]": 51102,
+  "[XXXXX553]": 50919,
+  "[XXXXX554]": 50615,
+  "[XXXXX555]": 50769,
+  "[XXXXX556]": 50940,
+  "[XXXXX557]": 50070,
+  "[XXXXX558]": 50680,
+  "[XXXXX559]": 50611,
+  "[XXXXX55]": 50574,
+  "[XXXXX560]": 50381,
+  "[XXXXX561]": 50350,
+  "[XXXXX562]": 50175,
+  "[XXXXX563]": 50584,
+  "[XXXXX564]": 50703,
+  "[XXXXX565]": 50989,
+  "[XXXXX566]": 50877,
+  "[XXXXX567]": 51039,
+  "[XXXXX568]": 51018,
+  "[XXXXX569]": 50452,
+  "[XXXXX56]": 51099,
+  "[XXXXX570]": 50161,
+  "[XXXXX571]": 50921,
+  "[XXXXX572]": 50676,
+  "[XXXXX573]": 50326,
+  "[XXXXX574]": 50987,
+  "[XXXXX575]": 50361,
+  "[XXXXX576]": 50071,
+  "[XXXXX577]": 50803,
+  "[XXXXX578]": 50400,
+  "[XXXXX579]": 51091,
+  "[XXXXX57]": 50501,
+  "[XXXXX580]": 50887,
+  "[XXXXX581]": 50839,
+  "[XXXXX582]": 51138,
+  "[XXXXX583]": 50816,
+  "[XXXXX584]": 50339,
+  "[XXXXX585]": 50463,
+  "[XXXXX586]": 50399,
+  "[XXXXX587]": 51070,
+  "[XXXXX588]": 50457,
+  "[XXXXX589]": 50828,
+  "[XXXXX58]": 50183,
+  "[XXXXX590]": 50080,
+  "[XXXXX591]": 50550,
+  "[XXXXX592]": 50129,
+  "[XXXXX593]": 50273,
+  "[XXXXX594]": 50388,
+  "[XXXXX595]": 50491,
+  "[XXXXX596]": 50278,
+  "[XXXXX597]": 50011,
+  "[XXXXX598]": 50254,
+  "[XXXXX599]": 50302,
+  "[XXXXX59]": 50353,
+  "[XXXXX5]": 50010,
+  "[XXXXX600]": 50704,
+  "[XXXXX601]": 51118,
+  "[XXXXX602]": 50049,
+  "[XXXXX603]": 51190,
+  "[XXXXX604]": 51142,
+  "[XXXXX605]": 50707,
+  "[XXXXX606]": 50937,
+  "[XXXXX607]": 50875,
+  "[XXXXX608]": 50564,
+  "[XXXXX609]": 50345,
+  "[XXXXX60]": 50713,
+  "[XXXXX610]": 50949,
+  "[XXXXX611]": 50978,
+  "[XXXXX612]": 50330,
+  "[XXXXX613]": 51035,
+  "[XXXXX614]": 50402,
+  "[XXXXX615]": 50176,
+  "[XXXXX616]": 51133,
+  "[XXXXX617]": 50222,
+  "[XXXXX618]": 50118,
+  "[XXXXX619]": 50196,
+  "[XXXXX61]": 50298,
+  "[XXXXX620]": 50668,
+  "[XXXXX621]": 50462,
+  "[XXXXX622]": 50218,
+  "[XXXXX623]": 51101,
+  "[XXXXX624]": 50362,
+  "[XXXXX625]": 50779,
+  "[XXXXX626]": 50513,
+  "[XXXXX627]": 50746,
+  "[XXXXX628]": 50141,
+  "[XXXXX629]": 50479,
+  "[XXXXX62]": 50056,
+  "[XXXXX630]": 51180,
+  "[XXXXX631]": 50872,
+  "[XXXXX632]": 50315,
+  "[XXXXX633]": 50397,
+  "[XXXXX634]": 51165,
+  "[XXXXX635]": 50046,
+  "[XXXXX636]": 50795,
+  "[XXXXX637]": 50959,
+  "[XXXXX638]": 50786,
+  "[XXXXX639]": 50240,
+  "[XXXXX63]": 51061,
+  "[XXXXX640]": 50601,
+  "[XXXXX641]": 50904,
+  "[XXXXX642]": 50376,
+  "[XXXXX643]": 50663,
+  "[XXXXX644]": 50613,
+  "[XXXXX645]": 50467,
+  "[XXXXX646]": 50546,
+  "[XXXXX647]": 50465,
+  "[XXXXX648]": 50395,
+  "[XXXXX649]": 50287,
+  "[XXXXX64]": 51162,
+  "[XXXXX650]": 50474,
+  "[XXXXX651]": 50727,
+  "[XXXXX652]": 50243,
+  "[XXXXX653]": 51100,
+  "[XXXXX654]": 50705,
+  "[XXXXX655]": 51012,
+  "[XXXXX656]": 50447,
+  "[XXXXX657]": 50719,
+  "[XXXXX658]": 50712,
+  "[XXXXX659]": 50476,
+  "[XXXXX65]": 50587,
+  "[XXXXX660]": 51054,
+  "[XXXXX661]": 51166,
+  "[XXXXX662]": 50494,
+  "[XXXXX663]": 50230,
+  "[XXXXX664]": 50621,
+  "[XXXXX665]": 50809,
+  "[XXXXX666]": 50265,
+  "[XXXXX667]": 50645,
+  "[XXXXX668]": 50817,
+  "[XXXXX669]": 50030,
+  "[XXXXX66]": 51029,
+  "[XXXXX670]": 51004,
+  "[XXXXX671]": 50685,
+  "[XXXXX672]": 50625,
+  "[XXXXX673]": 50890,
+  "[XXXXX674]": 50383,
+  "[XXXXX675]": 50929,
+  "[XXXXX676]": 50116,
+  "[XXXXX677]": 51072,
+  "[XXXXX678]": 51126,
+  "[XXXXX679]": 50755,
+  "[XXXXX67]": 50717,
+  "[XXXXX680]": 50303,
+  "[XXXXX681]": 50504,
+  "[XXXXX682]": 51075,
+  "[XXXXX683]": 50261,
+  "[XXXXX684]": 50861,
+  "[XXXXX685]": 50306,
+  "[XXXXX686]": 50016,
+  "[XXXXX687]": 50101,
+  "[XXXXX688]": 51098,
+  "[XXXXX689]": 50827,
+  "[XXXXX68]": 50863,
+  "[XXXXX690]": 50640,
+  "[XXXXX691]": 50031,
+  "[XXXXX692]": 50768,
+  "[XXXXX693]": 50013,
+  "[XXXXX694]": 51032,
+  "[XXXXX695]": 50166,
+  "[XXXXX696]": 50127,
+  "[XXXXX697]": 50414,
+  "[XXXXX698]": 50742,
+  "[XXXXX699]": 51042,
+  "[XXXXX69]": 51112,
+  "[XXXXX6]": 50593,
+  "[XXXXX700]": 50292,
+  "[XXXXX701]": 50174,
+  "[XXXXX702]": 50547,
+  "[XXXXX703]": 50498,
+  "[XXXXX704]": 51078,
+  "[XXXXX705]": 50133,
+  "[XXXXX706]": 50041,
+  "[XXXXX707]": 51181,
+  "[XXXXX708]": 50585,
+  "[XXXXX709]": 50776,
+  "[XXXXX70]": 50053,
+  "[XXXXX710]": 50336,
+  "[XXXXX711]": 50765,
+  "[XXXXX712]": 50224,
+  "[XXXXX713]": 50599,
+  "[XXXXX714]": 50207,
+  "[XXXXX715]": 51043,
+  "[XXXXX716]": 51090,
+  "[XXXXX717]": 50006,
+  "[XXXXX718]": 50901,
+  "[XXXXX719]": 51001,
+  "[XXXXX71]": 50954,
+  "[XXXXX720]": 50646,
+  "[XXXXX721]": 50075,
+  "[XXXXX722]": 51120,
+  "[XXXXX723]": 50215,
+  "[XXXXX724]": 50415,
+  "[XXXXX725]": 50154,
+  "[XXXXX726]": 50935,
+  "[XXXXX727]": 50545,
+  "[XXXXX728]": 51085,
+  "[XXXXX729]": 50256,
+  "[XXXXX72]": 50363,
+  "[XXXXX730]": 50700,
+  "[XXXXX731]": 50262,
+  "[XXXXX732]": 50930,
+  "[XXXXX733]": 50333,
+  "[XXXXX734]": 50884,
+  "[XXXXX735]": 51030,
+  "[XXXXX736]": 50231,
+  "[XXXXX737]": 50405,
+  "[XXXXX738]": 50962,
+  "[XXXXX739]": 50458,
+  "[XXXXX73]": 50019,
+  "[XXXXX740]": 50878,
+  "[XXXXX741]": 50910,
+  "[XXXXX742]": 50170,
+  "[XXXXX743]": 50718,
+  "[XXXXX744]": 50616,
+  "[XXXXX745]": 50358,
+  "[XXXXX746]": 50152,
+  "[XXXXX747]": 50525,
+  "[XXXXX748]": 51167,
+  "[XXXXX749]": 50653,
+  "[XXXXX74]": 50952,
+  "[XXXXX750]": 50500,
+  "[XXXXX751]": 50446,
+  "[XXXXX752]": 50995,
+  "[XXXXX753]": 50945,
+  "[XXXXX754]": 51173,
+  "[XXXXX755]": 50823,
+  "[XXXXX756]": 51060,
+  "[XXXXX757]": 50748,
+  "[XXXXX758]": 50020,
+  "[XXXXX759]": 50197,
+  "[XXXXX75]": 50502,
+  "[XXXXX760]": 50291,
+  "[XXXXX761]": 50821,
+  "[XXXXX762]": 50190,
+  "[XXXXX763]": 50745,
+  "[XXXXX764]": 50778,
+  "[XXXXX765]": 50556,
+  "[XXXXX766]": 51161,
+  "[XXXXX767]": 50466,
+  "[XXXXX768]": 50792,
+  "[XXXXX769]": 50208,
+  "[XXXXX76]": 50169,
+  "[XXXXX770]": 50647,
+  "[XXXXX771]": 50610,
+  "[XXXXX772]": 51140,
+  "[XXXXX773]": 50441,
+  "[XXXXX774]": 50870,
+  "[XXXXX775]": 50368,
+  "[XXXXX776]": 50026,
+  "[XXXXX777]": 50677,
+  "[XXXXX778]": 51168,
+  "[XXXXX779]": 50481,
+  "[XXXXX77]": 50515,
+  "[XXXXX780]": 50225,
+  "[XXXXX781]": 50408,
+  "[XXXXX782]": 50090,
+  "[XXXXX783]": 50951,
+  "[XXXXX784]": 50015,
+  "[XXXXX785]": 50658,
+  "[XXXXX786]": 50617,
+  "[XXXXX787]": 50721,
+  "[XXXXX788]": 51084,
+  "[XXXXX789]": 50830,
+  "[XXXXX78]": 50100,
+  "[XXXXX790]": 50606,
+  "[XXXXX791]": 50124,
+  "[XXXXX792]": 50078,
+  "[XXXXX793]": 51188,
+  "[XXXXX794]": 50750,
+  "[XXXXX795]": 50138,
+  "[XXXXX796]": 50239,
+  "[XXXXX797]": 50385,
+  "[XXXXX798]": 50780,
+  "[XXXXX799]": 50683,
+  "[XXXXX79]": 50436,
+  "[XXXXX7]": 50211,
+  "[XXXXX800]": 51185,
+  "[XXXXX801]": 50250,
+  "[XXXXX802]": 50456,
+  "[XXXXX803]": 50508,
+  "[XXXXX804]": 51194,
+  "[XXXXX805]": 50021,
+  "[XXXXX806]": 50307,
+  "[XXXXX807]": 50199,
+  "[XXXXX808]": 51129,
+  "[XXXXX809]": 50686,
+  "[XXXXX80]": 50370,
+  "[XXXXX810]": 50343,
+  "[XXXXX811]": 50614,
+  "[XXXXX812]": 50636,
+  "[XXXXX813]": 51198,
+  "[XXXXX814]": 50788,
+  "[XXXXX815]": 50120,
+  "[XXXXX816]": 50135,
+  "[XXXXX817]": 50293,
+  "[XXXXX818]": 50153,
+  "[XXXXX819]": 50516,
+  "[XXXXX81]": 50581,
+  "[XXXXX820]": 50586,
+  "[XXXXX821]": 50509,
+  "[XXXXX822]": 50220,
+  "[XXXXX823]": 51068,
+  "[XXXXX824]": 50946,
+  "[XXXXX825]": 50965,
+  "[XXXXX826]": 50032,
+  "[XXXXX827]": 50156,
+  "[XXXXX828]": 50449,
+  "[XXXXX829]": 50531,
+  "[XXXXX82]": 51164,
+  "[XXXXX830]": 50486,
+  "[XXXXX831]": 50357,
+  "[XXXXX832]": 51022,
+  "[XXXXX833]": 50633,
+  "[XXXXX834]": 50754,
+  "[XXXXX835]": 51134,
+  "[XXXXX836]": 50193,
+  "[XXXXX837]": 51088,
+  "[XXXXX838]": 50722,
+  "[XXXXX839]": 50756,
+  "[XXXXX83]": 50977,
+  "[XXXXX840]": 50022,
+  "[XXXXX841]": 51186,
+  "[XXXXX842]": 50575,
+  "[XXXXX843]": 50079,
+  "[XXXXX844]": 50644,
+  "[XXXXX845]": 51033,
+  "[XXXXX846]": 50454,
+  "[XXXXX847]": 50095,
+  "[XXXXX848]": 50902,
+  "[XXXXX849]": 50597,
+  "[XXXXX84]": 50167,
+  "[XXXXX850]": 51051,
+  "[XXXXX851]": 50696,
+  "[XXXXX852]": 50966,
+  "[XXXXX853]": 50034,
+  "[XXXXX854]": 50889,
+  "[XXXXX855]": 50843,
+  "[XXXXX856]": 50963,
+  "[XXXXX857]": 50227,
+  "[XXXXX858]": 51058,
+  "[XXXXX859]": 50850,
+  "[XXXXX85]": 50192,
+  "[XXXXX860]": 50228,
+  "[XXXXX861]": 50570,
+  "[XXXXX862]": 50488,
+  "[XXXXX863]": 50539,
+  "[XXXXX864]": 51182,
+  "[XXXXX865]": 50990,
+  "[XXXXX866]": 50542,
+  "[XXXXX867]": 51069,
+  "[XXXXX868]": 50480,
+  "[XXXXX869]": 50847,
+  "[XXXXX86]": 50874,
+  "[XXXXX870]": 50308,
+  "[XXXXX871]": 50510,
+  "[XXXXX872]": 50423,
+  "[XXXXX873]": 50086,
+  "[XXXXX874]": 50591,
+  "[XXXXX875]": 50728,
+  "[XXXXX876]": 50372,
+  "[XXXXX877]": 50903,
+  "[XXXXX878]": 50868,
+  "[XXXXX879]": 50763,
+  "[XXXXX87]": 50571,
+  "[XXXXX880]": 50096,
+  "[XXXXX881]": 51150,
+  "[XXXXX882]": 50460,
+  "[XXXXX883]": 51087,
+  "[XXXXX884]": 51093,
+  "[XXXXX885]": 50295,
+  "[XXXXX886]": 51037,
+  "[XXXXX887]": 51171,
+  "[XXXXX888]": 50794,
+  "[XXXXX889]": 50628,
+  "[XXXXX88]": 50520,
+  "[XXXXX890]": 51172,
+  "[XXXXX891]": 51046,
+  "[XXXXX892]": 50918,
+  "[XXXXX893]": 50998,
+  "[XXXXX894]": 50371,
+  "[XXXXX895]": 51155,
+  "[XXXXX896]": 50866,
+  "[XXXXX897]": 50229,
+  "[XXXXX898]": 51057,
+  "[XXXXX899]": 50867,
+  "[XXXXX89]": 50537,
+  "[XXXXX8]": 50784,
+  "[XXXXX900]": 50739,
+  "[XXXXX901]": 51080,
+  "[XXXXX902]": 50038,
+  "[XXXXX903]": 50321,
+  "[XXXXX904]": 50774,
+  "[XXXXX905]": 50974,
+  "[XXXXX906]": 50920,
+  "[XXXXX907]": 50469,
+  "[XXXXX908]": 51122,
+  "[XXXXX909]": 51092,
+  "[XXXXX90]": 50514,
+  "[XXXXX910]": 50798,
+  "[XXXXX911]": 50245,
+  "[XXXXX912]": 50367,
+  "[XXXXX913]": 50618,
+  "[XXXXX914]": 50072,
+  "[XXXXX915]": 50450,
+  "[XXXXX916]": 51189,
+  "[XXXXX917]": 50485,
+  "[XXXXX918]": 50283,
+  "[XXXXX919]": 50845,
+  "[XXXXX91]": 50968,
+  "[XXXXX920]": 50429,
+  "[XXXXX921]": 50364,
+  "[XXXXX922]": 50782,
+  "[XXXXX923]": 50534,
+  "[XXXXX924]": 50059,
+  "[XXXXX925]": 50102,
+  "[XXXXX926]": 50185,
+  "[XXXXX927]": 50634,
+  "[XXXXX928]": 50567,
+  "[XXXXX929]": 50895,
+  "[XXXXX92]": 50210,
+  "[XXXXX930]": 50561,
+  "[XXXXX931]": 51021,
+  "[XXXXX932]": 50107,
+  "[XXXXX933]": 50407,
+  "[XXXXX934]": 50654,
+  "[XXXXX935]": 50268,
+  "[XXXXX936]": 51153,
+  "[XXXXX937]": 50552,
+  "[XXXXX938]": 50526,
+  "[XXXXX939]": 50322,
+  "[XXXXX93]": 50912,
+  "[XXXXX940]": 50296,
+  "[XXXXX941]": 50572,
+  "[XXXXX942]": 50393,
+  "[XXXXX943]": 50312,
+  "[XXXXX944]": 50592,
+  "[XXXXX945]": 50982,
+  "[XXXXX946]": 50089,
+  "[XXXXX947]": 50331,
+  "[XXXXX948]": 50279,
+  "[XXXXX949]": 51005,
+  "[XXXXX94]": 50198,
+  "[XXXXX950]": 50114,
+  "[XXXXX951]": 50074,
+  "[XXXXX952]": 50248,
+  "[XXXXX953]": 50857,
+  "[XXXXX954]": 50841,
+  "[XXXXX955]": 51065,
+  "[XXXXX956]": 50234,
+  "[XXXXX957]": 50834,
+  "[XXXXX958]": 50535,
+  "[XXXXX959]": 51109,
+  "[XXXXX95]": 50651,
+  "[XXXXX960]": 50797,
+  "[XXXXX961]": 50914,
+  "[XXXXX962]": 50112,
+  "[XXXXX963]": 50073,
+  "[XXXXX964]": 50559,
+  "[XXXXX965]": 50933,
+  "[XXXXX966]": 50619,
+  "[XXXXX967]": 51187,
+  "[XXXXX968]": 50327,
+  "[XXXXX969]": 50698,
+  "[XXXXX96]": 50420,
+  "[XXXXX970]": 50060,
+  "[XXXXX971]": 50432,
+  "[XXXXX972]": 50620,
+  "[XXXXX973]": 50693,
+  "[XXXXX974]": 50938,
+  "[XXXXX975]": 50983,
+  "[XXXXX976]": 50334,
+  "[XXXXX977]": 50438,
+  "[XXXXX978]": 51154,
+  "[XXXXX979]": 50964,
+  "[XXXXX97]": 50672,
+  "[XXXXX980]": 50511,
+  "[XXXXX981]": 50244,
+  "[XXXXX982]": 50266,
+  "[XXXXX983]": 50134,
+  "[XXXXX984]": 50338,
+  "[XXXXX985]": 51121,
+  "[XXXXX986]": 50323,
+  "[XXXXX987]": 50909,
+  "[XXXXX988]": 51000,
+  "[XXXXX989]": 50036,
+  "[XXXXX98]": 50787,
+  "[XXXXX990]": 50512,
+  "[XXXXX991]": 50191,
+  "[XXXXX992]": 50187,
+  "[XXXXX993]": 51156,
+  "[XXXXX994]": 51135,
+  "[XXXXX995]": 50355,
+  "[XXXXX996]": 51027,
+  "[XXXXX997]": 50297,
+  "[XXXXX998]": 50928,
+  "[XXXXX999]": 50697,
+  "[XXXXX99]": 50980,
+  "[XXXXX9]": 50961
+}
diff --git a/checkpoint-4000/config.json b/checkpoint-4000/config.json
new file mode 100644
index 0000000..000c292
--- /dev/null
+++ b/checkpoint-4000/config.json
@@ -0,0 +1,34 @@
+{
+  "activation_function": "gelu",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50000,
+  "dtype": "bfloat16",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50001,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 512,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": 3072,
+  "n_layer": 12,
+  "n_positions": 512,
+  "pad_token_id": 50002,
+  "prefix": "[CLS]",
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "vocab_size": 51200
+}
diff --git a/checkpoint-4000/generation_config.json b/checkpoint-4000/generation_config.json
new file mode 100644
index 0000000..4c122f0
--- /dev/null
+++ b/checkpoint-4000/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50000,
+  "eos_token_id": [
+    50001
+  ],
+  "pad_token_id": 50002,
+  "transformers_version": "4.56.2"
+}
diff --git a/checkpoint-4000/model.safetensors b/checkpoint-4000/model.safetensors
new file mode 100644
index 0000000..b5910ae
--- /dev/null
+++ b/checkpoint-4000/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d149bcab4d9257f261775de9b2ddb2cb351bf75bcbd1c7b5e9a0b4fad9bd62e1
+size 249556672
diff --git a/checkpoint-4000/rng_state.pth b/checkpoint-4000/rng_state.pth
new file mode 100644
index 0000000..5211bcd
--- /dev/null
+++ b/checkpoint-4000/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:84e89f7db5250bf8215692e6db1841fa415de50983250d884a862b9f99f5d591
+size 14645
diff --git a/checkpoint-4000/special_tokens_map.json b/checkpoint-4000/special_tokens_map.json
new file mode 100644
index 0000000..c78a835
--- /dev/null
+++ b/checkpoint-4000/special_tokens_map.json
@@ -0,0 +1,1249 @@
+{
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/checkpoint-4000/spiece.model b/checkpoint-4000/spiece.model
new file mode 100644
index 0000000..85d6e93
--- /dev/null
+++ b/checkpoint-4000/spiece.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:762a1e078899c6ba7ef62ef873a57b860c51cc0518791854659b58b4c89742fe
+size 1170764
diff --git a/checkpoint-4000/tokenizer_config.json b/checkpoint-4000/tokenizer_config.json
new file mode 100644
index 0000000..b27d01f
--- /dev/null
+++ b/checkpoint-4000/tokenizer_config.json
@@ -0,0 +1,10825 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50000": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50001": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50002": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50003": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50004": {
+      "content": "[XXXXX160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50005": {
+      "content": "[XXXXX240]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50006": {
+      "content": "[XXXXX717]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50007": {
+      "content": "[XXXXX23]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50008": {
+      "content": "[XXXXX161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50009": {
+      "content": "[XXXXX1156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50010": {
+      "content": "[XXXXX5]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50011": {
+      "content": "[XXXXX597]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50012": {
+      "content": "[XXXXX415]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50013": {
+      "content": "[XXXXX693]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50014": {
+      "content": "[XXXXX1083]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50015": {
+      "content": "[XXXXX784]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50016": {
+      "content": "[XXXXX686]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50017": {
+      "content": "[XXXXX379]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50018": {
+      "content": "[XXXXX335]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50019": {
+      "content": "[XXXXX73]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50020": {
+      "content": "[XXXXX758]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50021": {
+      "content": "[XXXXX805]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50022": {
+      "content": "[XXXXX840]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50023": {
+      "content": "[XXXXX1037]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50024": {
+      "content": "[XXXXX235]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50025": {
+      "content": "[XXXXX1107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50026": {
+      "content": "[XXXXX776]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50027": {
+      "content": "[XXXXX286]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50028": {
+      "content": "[XXXXX396]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50029": {
+      "content": "[XXXXX478]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50030": {
+      "content": "[XXXXX669]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50031": {
+      "content": "[XXXXX691]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50032": {
+      "content": "[XXXXX826]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50033": {
+      "content": "[XXXXX1150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50034": {
+      "content": "[XXXXX853]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50035": {
+      "content": "[XXXXX130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50036": {
+      "content": "[XXXXX989]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50037": {
+      "content": "[XXXXX249]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50038": {
+      "content": "[XXXXX902]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50039": {
+      "content": "[XXXXX1169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50040": {
+      "content": "[XXXXX260]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50041": {
+      "content": "[XXXXX706]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50042": {
+      "content": "[XXXXX146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50043": {
+      "content": "[XXXXX198]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50044": {
+      "content": "[XXXXX303]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50045": {
+      "content": "[XXXXX1192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50046": {
+      "content": "[XXXXX635]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50047": {
+      "content": "[XXXXX271]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50048": {
+      "content": "[XXXXX1023]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50049": {
+      "content": "[XXXXX602]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50050": {
+      "content": "[XXXXX291]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50051": {
+      "content": "[XXXXX190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50052": {
+      "content": "[XXXXX1055]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50053": {
+      "content": "[XXXXX70]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50054": {
+      "content": "[XXXXX178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50055": {
+      "content": "[XXXXX318]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50056": {
+      "content": "[XXXXX62]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50057": {
+      "content": "[XXXXX473]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50058": {
+      "content": "[XXXXX517]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50059": {
+      "content": "[XXXXX924]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50060": {
+      "content": "[XXXXX970]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50061": {
+      "content": "[XXXXX1033]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50062": {
+      "content": "[XXXXX110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50063": {
+      "content": "[XXXXX1151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50064": {
+      "content": "[XXXXX1189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50065": {
+      "content": "[XXXXX1095]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50066": {
+      "content": "[XXXXX148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50067": {
+      "content": "[XXXXX337]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50068": {
+      "content": "[XXXXX245]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50069": {
+      "content": "[XXXXX407]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50070": {
+      "content": "[XXXXX557]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50071": {
+      "content": "[XXXXX576]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50072": {
+      "content": "[XXXXX914]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50073": {
+      "content": "[XXXXX963]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50074": {
+      "content": "[XXXXX951]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50075": {
+      "content": "[XXXXX721]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50076": {
+      "content": "[XXXXX1174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50077": {
+      "content": "[XXXXX3]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50078": {
+      "content": "[XXXXX792]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50079": {
+      "content": "[XXXXX843]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50080": {
+      "content": "[XXXXX590]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50081": {
+      "content": "[XXXXX118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50082": {
+      "content": "[XXXXX280]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50083": {
+      "content": "[XXXXX1119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50084": {
+      "content": "[XXXXX1025]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50085": {
+      "content": "[XXXXX140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50086": {
+      "content": "[XXXXX873]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50087": {
+      "content": "[XXXXX103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50088": {
+      "content": "[XXXXX307]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50089": {
+      "content": "[XXXXX946]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50090": {
+      "content": "[XXXXX782]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50091": {
+      "content": "[XXXXX100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50092": {
+      "content": "[XXXXX485]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50093": {
+      "content": "[XXXXX151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50094": {
+      "content": "[XXXXX213]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50095": {
+      "content": "[XXXXX847]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50096": {
+      "content": "[XXXXX880]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50097": {
+      "content": "[XXXXX44]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50098": {
+      "content": "[XXXXX1031]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50099": {
+      "content": "[XXXXX545]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50100": {
+      "content": "[XXXXX78]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50101": {
+      "content": "[XXXXX687]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50102": {
+      "content": "[XXXXX925]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50103": {
+      "content": "[XXXXX519]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50104": {
+      "content": "[XXXXX1191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50105": {
+      "content": "[XXXXX13]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50106": {
+      "content": "[XXXXX487]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50107": {
+      "content": "[XXXXX932]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50108": {
+      "content": "[XXXXX119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50109": {
+      "content": "[XXXXX170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50110": {
+      "content": "[XXXXX254]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50111": {
+      "content": "[XXXXX420]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50112": {
+      "content": "[XXXXX962]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50113": {
+      "content": "[XXXXX441]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50114": {
+      "content": "[XXXXX950]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50115": {
+      "content": "[XXXXX18]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50116": {
+      "content": "[XXXXX676]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50117": {
+      "content": "[XXXXX1133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50118": {
+      "content": "[XXXXX618]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50119": {
+      "content": "[XXXXX374]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50120": {
+      "content": "[XXXXX815]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50121": {
+      "content": "[XXXXX1058]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50122": {
+      "content": "[XXXXX1108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50123": {
+      "content": "[XXXXX1144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50124": {
+      "content": "[XXXXX791]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50125": {
+      "content": "[XXXXX259]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50126": {
+      "content": "[XXXXX1074]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50127": {
+      "content": "[XXXXX696]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50128": {
+      "content": "[XXXXX1168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50129": {
+      "content": "[XXXXX592]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50130": {
+      "content": "[XXXXX127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50131": {
+      "content": "[XXXXX136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50132": {
+      "content": "[XXXXX237]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50133": {
+      "content": "[XXXXX705]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50134": {
+      "content": "[XXXXX983]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50135": {
+      "content": "[XXXXX816]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50136": {
+      "content": "[XXXXX412]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50137": {
+      "content": "[XXXXX410]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50138": {
+      "content": "[XXXXX795]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50139": {
+      "content": "[XXXXX101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50140": {
+      "content": "[XXXXX171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50141": {
+      "content": "[XXXXX628]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50142": {
+      "content": "[XXXXX1038]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50143": {
+      "content": "[XXXXX447]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50144": {
+      "content": "[XXXXX1043]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50145": {
+      "content": "[XXXXX147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50146": {
+      "content": "[XXXXX1112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50147": {
+      "content": "[XXXXX186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50148": {
+      "content": "[XXXXX461]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50149": {
+      "content": "[XXXXX423]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50150": {
+      "content": "[XXXXX26]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50151": {
+      "content": "[XXXXX227]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50152": {
+      "content": "[XXXXX746]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50153": {
+      "content": "[XXXXX818]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50154": {
+      "content": "[XXXXX725]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50155": {
+      "content": "[XXXXX400]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50156": {
+      "content": "[XXXXX827]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50157": {
+      "content": "[XXXXX1020]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50158": {
+      "content": "[XXXXX1060]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50159": {
+      "content": "[XXXXX195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50160": {
+      "content": "[XXXXX526]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50161": {
+      "content": "[XXXXX570]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50162": {
+      "content": "[XXXXX174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50163": {
+      "content": "[XXXXX333]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50164": {
+      "content": "[XXXXX466]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50165": {
+      "content": "[XXXXX513]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50166": {
+      "content": "[XXXXX695]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50167": {
+      "content": "[XXXXX84]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50168": {
+      "content": "[XXXXX1080]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50169": {
+      "content": "[XXXXX76]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50170": {
+      "content": "[XXXXX742]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50171": {
+      "content": "[XXXXX1008]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50172": {
+      "content": "[XXXXX1123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50173": {
+      "content": "[XXXXX1145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50174": {
+      "content": "[XXXXX701]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50175": {
+      "content": "[XXXXX562]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50176": {
+      "content": "[XXXXX615]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50177": {
+      "content": "[XXXXX389]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50178": {
+      "content": "[XXXXX267]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50179": {
+      "content": "[XXXXX323]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50180": {
+      "content": "[XXXXX346]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50181": {
+      "content": "[XXXXX287]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50182": {
+      "content": "[XXXXX469]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50183": {
+      "content": "[XXXXX58]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50184": {
+      "content": "[XXXXX431]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50185": {
+      "content": "[XXXXX926]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50186": {
+      "content": "[XXXXX1182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50187": {
+      "content": "[XXXXX992]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50188": {
+      "content": "[XXXXX185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50189": {
+      "content": "[XXXXX352]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50190": {
+      "content": "[XXXXX762]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50191": {
+      "content": "[XXXXX991]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50192": {
+      "content": "[XXXXX85]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50193": {
+      "content": "[XXXXX836]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50194": {
+      "content": "[XXXXX460]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50195": {
+      "content": "[XXXXX272]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50196": {
+      "content": "[XXXXX619]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50197": {
+      "content": "[XXXXX759]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50198": {
+      "content": "[XXXXX94]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50199": {
+      "content": "[XXXXX807]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50200": {
+      "content": "[XXXXX299]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50201": {
+      "content": "[XXXXX187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50202": {
+      "content": "[XXXXX486]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50203": {
+      "content": "[XXXXX45]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50204": {
+      "content": "[XXXXX1036]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50205": {
+      "content": "[XXXXX354]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50206": {
+      "content": "[XXXXX386]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50207": {
+      "content": "[XXXXX714]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50208": {
+      "content": "[XXXXX769]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50209": {
+      "content": "[XXXXX304]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50210": {
+      "content": "[XXXXX92]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50211": {
+      "content": "[XXXXX7]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50212": {
+      "content": "[XXXXX31]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50213": {
+      "content": "[XXXXX102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50214": {
+      "content": "[XXXXX163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50215": {
+      "content": "[XXXXX723]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50216": {
+      "content": "[XXXXX1042]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50217": {
+      "content": "[XXXXX452]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50218": {
+      "content": "[XXXXX622]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50219": {
+      "content": "[XXXXX1056]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50220": {
+      "content": "[XXXXX822]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50221": {
+      "content": "[XXXXX125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50222": {
+      "content": "[XXXXX617]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50223": {
+      "content": "[XXXXX34]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50224": {
+      "content": "[XXXXX712]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50225": {
+      "content": "[XXXXX780]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50226": {
+      "content": "[XXXXX547]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50227": {
+      "content": "[XXXXX857]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50228": {
+      "content": "[XXXXX860]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50229": {
+      "content": "[XXXXX897]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50230": {
+      "content": "[XXXXX663]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50231": {
+      "content": "[XXXXX736]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50232": {
+      "content": "[XXXXX202]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50233": {
+      "content": "[XXXXX1029]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50234": {
+      "content": "[XXXXX956]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50235": {
+      "content": "[XXXXX397]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50236": {
+      "content": "[XXXXX239]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50237": {
+      "content": "[XXXXX472]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50238": {
+      "content": "[XXXXX230]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50239": {
+      "content": "[XXXXX796]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50240": {
+      "content": "[XXXXX639]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50241": {
+      "content": "[XXXXX203]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50242": {
+      "content": "[XXXXX231]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50243": {
+      "content": "[XXXXX652]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50244": {
+      "content": "[XXXXX981]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50245": {
+      "content": "[XXXXX911]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50246": {
+      "content": "[XXXXX380]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50247": {
+      "content": "[XXXXX477]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50248": {
+      "content": "[XXXXX952]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50249": {
+      "content": "[XXXXX28]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50250": {
+      "content": "[XXXXX801]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50251": {
+      "content": "[XXXXX1134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50252": {
+      "content": "[XXXXX1176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50253": {
+      "content": "[XXXXX180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50254": {
+      "content": "[XXXXX598]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50255": {
+      "content": "[XXXXX365]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50256": {
+      "content": "[XXXXX729]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50257": {
+      "content": "[XXXXX214]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50258": {
+      "content": "[XXXXX1117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50259": {
+      "content": "[XXXXX278]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50260": {
+      "content": "[XXXXX522]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50261": {
+      "content": "[XXXXX683]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50262": {
+      "content": "[XXXXX731]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50263": {
+      "content": "[XXXXX312]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "[XXXXX1178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50265": {
+      "content": "[XXXXX666]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50266": {
+      "content": "[XXXXX982]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50267": {
+      "content": "[XXXXX414]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50268": {
+      "content": "[XXXXX935]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50269": {
+      "content": "[XXXXX1089]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50270": {
+      "content": "[XXXXX236]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50271": {
+      "content": "[XXXXX463]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50272": {
+      "content": "[XXXXX52]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50273": {
+      "content": "[XXXXX593]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50274": {
+      "content": "[XXXXX508]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50275": {
+      "content": "[XXXXX1125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50276": {
+      "content": "[XXXXX462]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50277": {
+      "content": "[XXXXX32]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50278": {
+      "content": "[XXXXX596]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50279": {
+      "content": "[XXXXX948]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50280": {
+      "content": "[XXXXX150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50281": {
+      "content": "[XXXXX322]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50282": {
+      "content": "[XXXXX390]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50283": {
+      "content": "[XXXXX918]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50284": {
+      "content": "[XXXXX157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50285": {
+      "content": "[XXXXX310]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50286": {
+      "content": "[XXXXX392]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50287": {
+      "content": "[XXXXX649]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50288": {
+      "content": "[XXXXX158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50289": {
+      "content": "[XXXXX430]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50290": {
+      "content": "[XXXXX384]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50291": {
+      "content": "[XXXXX760]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50292": {
+      "content": "[XXXXX700]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50293": {
+      "content": "[XXXXX817]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50294": {
+      "content": "[XXXXX115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50295": {
+      "content": "[XXXXX885]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50296": {
+      "content": "[XXXXX940]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50297": {
+      "content": "[XXXXX997]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50298": {
+      "content": "[XXXXX61]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50299": {
+      "content": "[XXXXX209]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50300": {
+      "content": "[XXXXX316]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50301": {
+      "content": "[XXXXX537]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50302": {
+      "content": "[XXXXX599]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50303": {
+      "content": "[XXXXX680]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50304": {
+      "content": "[XXXXX135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50305": {
+      "content": "[XXXXX39]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50306": {
+      "content": "[XXXXX685]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50307": {
+      "content": "[XXXXX806]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50308": {
+      "content": "[XXXXX870]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50309": {
+      "content": "[XXXXX1096]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50310": {
+      "content": "[XXXXX366]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50311": {
+      "content": "[XXXXX509]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50312": {
+      "content": "[XXXXX943]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50313": {
+      "content": "[XXXXX292]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50314": {
+      "content": "[XXXXX367]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50315": {
+      "content": "[XXXXX632]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50316": {
+      "content": "[XXXXX1136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50317": {
+      "content": "[XXXXX156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50318": {
+      "content": "[XXXXX1100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50319": {
+      "content": "[XXXXX432]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50320": {
+      "content": "[XXXXX514]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50321": {
+      "content": "[XXXXX903]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50322": {
+      "content": "[XXXXX939]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50323": {
+      "content": "[XXXXX986]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50324": {
+      "content": "[XXXXX506]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50325": {
+      "content": "[XXXXX10]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50326": {
+      "content": "[XXXXX573]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50327": {
+      "content": "[XXXXX968]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50328": {
+      "content": "[XXXXX1039]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50329": {
+      "content": "[XXXXX252]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50330": {
+      "content": "[XXXXX612]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50331": {
+      "content": "[XXXXX947]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50332": {
+      "content": "[XXXXX1162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50333": {
+      "content": "[XXXXX733]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50334": {
+      "content": "[XXXXX976]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50335": {
+      "content": "[XXXXX535]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50336": {
+      "content": "[XXXXX710]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50337": {
+      "content": "[XXXXX40]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50338": {
+      "content": "[XXXXX984]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50339": {
+      "content": "[XXXXX584]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50340": {
+      "content": "[XXXXX132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50341": {
+      "content": "[XXXXX1084]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50342": {
+      "content": "[XXXXX549]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50343": {
+      "content": "[XXXXX810]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50344": {
+      "content": "[XXXXX208]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50345": {
+      "content": "[XXXXX609]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50346": {
+      "content": "[XXXXX275]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50347": {
+      "content": "[XXXXX262]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50348": {
+      "content": "[XXXXX331]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50349": {
+      "content": "[XXXXX361]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50350": {
+      "content": "[XXXXX561]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50351": {
+      "content": "[XXXXX143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50352": {
+      "content": "[XXXXX1061]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50353": {
+      "content": "[XXXXX59]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50354": {
+      "content": "[XXXXX21]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50355": {
+      "content": "[XXXXX995]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50356": {
+      "content": "[XXXXX439]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50357": {
+      "content": "[XXXXX831]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50358": {
+      "content": "[XXXXX745]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50359": {
+      "content": "[XXXXX43]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50360": {
+      "content": "[XXXXX498]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50361": {
+      "content": "[XXXXX575]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50362": {
+      "content": "[XXXXX624]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50363": {
+      "content": "[XXXXX72]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50364": {
+      "content": "[XXXXX921]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50365": {
+      "content": "[XXXXX201]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50366": {
+      "content": "[XXXXX1171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50367": {
+      "content": "[XXXXX912]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50368": {
+      "content": "[XXXXX775]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50369": {
+      "content": "[XXXXX1094]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50370": {
+      "content": "[XXXXX80]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50371": {
+      "content": "[XXXXX894]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50372": {
+      "content": "[XXXXX876]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50373": {
+      "content": "[XXXXX1143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50374": {
+      "content": "[XXXXX355]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50375": {
+      "content": "[XXXXX450]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50376": {
+      "content": "[XXXXX642]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50377": {
+      "content": "[XXXXX162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50378": {
+      "content": "[XXXXX394]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50379": {
+      "content": "[XXXXX296]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50380": {
+      "content": "[XXXXX536]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50381": {
+      "content": "[XXXXX560]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50382": {
+      "content": "[XXXXX373]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50383": {
+      "content": "[XXXXX674]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50384": {
+      "content": "[XXXXX1099]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50385": {
+      "content": "[XXXXX797]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50386": {
+      "content": "[XXXXX516]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50387": {
+      "content": "[XXXXX41]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50388": {
+      "content": "[XXXXX594]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50389": {
+      "content": "[XXXXX319]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50390": {
+      "content": "[XXXXX165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50391": {
+      "content": "[XXXXX344]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50392": {
+      "content": "[XXXXX1012]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50393": {
+      "content": "[XXXXX942]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50394": {
+      "content": "[XXXXX1071]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50395": {
+      "content": "[XXXXX648]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50396": {
+      "content": "[XXXXX4]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50397": {
+      "content": "[XXXXX633]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50398": {
+      "content": "[XXXXX551]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50399": {
+      "content": "[XXXXX586]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50400": {
+      "content": "[XXXXX578]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50401": {
+      "content": "[XXXXX348]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50402": {
+      "content": "[XXXXX614]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50403": {
+      "content": "[XXXXX33]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50404": {
+      "content": "[XXXXX1193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50405": {
+      "content": "[XXXXX737]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50406": {
+      "content": "[XXXXX233]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50407": {
+      "content": "[XXXXX933]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50408": {
+      "content": "[XXXXX781]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50409": {
+      "content": "[XXXXX189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50410": {
+      "content": "[XXXXX1006]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50411": {
+      "content": "[XXXXX219]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50412": {
+      "content": "[XXXXX454]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50413": {
+      "content": "[XXXXX449]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50414": {
+      "content": "[XXXXX697]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50415": {
+      "content": "[XXXXX724]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50416": {
+      "content": "[XXXXX224]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50417": {
+      "content": "[XXXXX1157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50418": {
+      "content": "[XXXXX455]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50419": {
+      "content": "[XXXXX505]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50420": {
+      "content": "[XXXXX96]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50421": {
+      "content": "[XXXXX182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50422": {
+      "content": "[XXXXX424]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50423": {
+      "content": "[XXXXX872]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50424": {
+      "content": "[XXXXX1163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50425": {
+      "content": "[XXXXX1081]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50426": {
+      "content": "[XXXXX1173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50427": {
+      "content": "[XXXXX172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50428": {
+      "content": "[XXXXX507]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50429": {
+      "content": "[XXXXX920]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50430": {
+      "content": "[XXXXX1126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50431": {
+      "content": "[XXXXX474]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50432": {
+      "content": "[XXXXX971]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50433": {
+      "content": "[XXXXX1049]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50434": {
+      "content": "[XXXXX1114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50435": {
+      "content": "[XXXXX1040]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50436": {
+      "content": "[XXXXX79]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50437": {
+      "content": "[XXXXX36]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50438": {
+      "content": "[XXXXX977]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50439": {
+      "content": "[XXXXX1129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50440": {
+      "content": "[XXXXX1063]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50441": {
+      "content": "[XXXXX773]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50442": {
+      "content": "[XXXXX16]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50443": {
+      "content": "[XXXXX113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50444": {
+      "content": "[XXXXX320]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50445": {
+      "content": "[XXXXX167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50446": {
+      "content": "[XXXXX751]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50447": {
+      "content": "[XXXXX656]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50448": {
+      "content": "[XXXXX543]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50449": {
+      "content": "[XXXXX828]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50450": {
+      "content": "[XXXXX915]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50451": {
+      "content": "[XXXXX1098]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50452": {
+      "content": "[XXXXX569]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50453": {
+      "content": "[XXXXX1166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50454": {
+      "content": "[XXXXX846]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50455": {
+      "content": "[XXXXX324]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50456": {
+      "content": "[XXXXX802]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50457": {
+      "content": "[XXXXX588]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50458": {
+      "content": "[XXXXX739]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50459": {
+      "content": "[XXXXX50]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50460": {
+      "content": "[XXXXX882]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50461": {
+      "content": "[XXXXX1054]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50462": {
+      "content": "[XXXXX621]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50463": {
+      "content": "[XXXXX585]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50464": {
+      "content": "[XXXXX121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50465": {
+      "content": "[XXXXX647]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50466": {
+      "content": "[XXXXX767]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50467": {
+      "content": "[XXXXX645]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50468": {
+      "content": "[XXXXX27]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50469": {
+      "content": "[XXXXX907]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50470": {
+      "content": "[XXXXX1109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50471": {
+      "content": "[XXXXX1147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50472": {
+      "content": "[XXXXX501]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50473": {
+      "content": "[XXXXX1164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50474": {
+      "content": "[XXXXX650]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50475": {
+      "content": "[XXXXX329]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50476": {
+      "content": "[XXXXX659]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50477": {
+      "content": "[XXXXX1158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50478": {
+      "content": "[XXXXX104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50479": {
+      "content": "[XXXXX629]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50480": {
+      "content": "[XXXXX868]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50481": {
+      "content": "[XXXXX779]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50482": {
+      "content": "[XXXXX17]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50483": {
+      "content": "[XXXXX377]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50484": {
+      "content": "[XXXXX467]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50485": {
+      "content": "[XXXXX917]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50486": {
+      "content": "[XXXXX830]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50487": {
+      "content": "[XXXXX533]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50488": {
+      "content": "[XXXXX862]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50489": {
+      "content": "[XXXXX1041]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50490": {
+      "content": "[XXXXX542]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50491": {
+      "content": "[XXXXX595]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50492": {
+      "content": "[XXXXX353]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50493": {
+      "content": "[XXXXX181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50494": {
+      "content": "[XXXXX662]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50495": {
+      "content": "[XXXXX1195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50496": {
+      "content": "[XXXXX435]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50497": {
+      "content": "[XXXXX1051]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50498": {
+      "content": "[XXXXX703]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50499": {
+      "content": "[XXXXX1140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50500": {
+      "content": "[XXXXX750]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50501": {
+      "content": "[XXXXX57]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50502": {
+      "content": "[XXXXX75]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50503": {
+      "content": "[XXXXX293]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50504": {
+      "content": "[XXXXX681]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50505": {
+      "content": "[XXXXX46]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50506": {
+      "content": "[XXXXX30]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50507": {
+      "content": "[XXXXX402]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50508": {
+      "content": "[XXXXX803]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50509": {
+      "content": "[XXXXX821]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50510": {
+      "content": "[XXXXX871]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50511": {
+      "content": "[XXXXX980]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50512": {
+      "content": "[XXXXX990]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50513": {
+      "content": "[XXXXX626]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50514": {
+      "content": "[XXXXX90]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50515": {
+      "content": "[XXXXX77]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50516": {
+      "content": "[XXXXX819]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50517": {
+      "content": "[XXXXX436]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50518": {
+      "content": "[XXXXX306]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50519": {
+      "content": "[XXXXX434]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50520": {
+      "content": "[XXXXX88]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50521": {
+      "content": "[XXXXX184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50522": {
+      "content": "[XXXXX290]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50523": {
+      "content": "[XXXXX216]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50524": {
+      "content": "[XXXXX176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50525": {
+      "content": "[XXXXX747]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50526": {
+      "content": "[XXXXX938]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50527": {
+      "content": "[XXXXX442]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50528": {
+      "content": "[XXXXX301]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50529": {
+      "content": "[XXXXX1015]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50530": {
+      "content": "[XXXXX520]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50531": {
+      "content": "[XXXXX829]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50532": {
+      "content": "[XXXXX106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50533": {
+      "content": "[XXXXX1048]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50534": {
+      "content": "[XXXXX923]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50535": {
+      "content": "[XXXXX958]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50536": {
+      "content": "[XXXXX1130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50537": {
+      "content": "[XXXXX89]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50538": {
+      "content": "[XXXXX548]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50539": {
+      "content": "[XXXXX863]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50540": {
+      "content": "[XXXXX444]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50541": {
+      "content": "[XXXXX1149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50542": {
+      "content": "[XXXXX866]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50543": {
+      "content": "[XXXXX109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50544": {
+      "content": "[XXXXX550]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50545": {
+      "content": "[XXXXX727]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50546": {
+      "content": "[XXXXX646]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50547": {
+      "content": "[XXXXX702]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50548": {
+      "content": "[XXXXX204]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50549": {
+      "content": "[XXXXX1000]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50550": {
+      "content": "[XXXXX591]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50551": {
+      "content": "[XXXXX1128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50552": {
+      "content": "[XXXXX937]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50553": {
+      "content": "[XXXXX141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50554": {
+      "content": "[XXXXX273]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50555": {
+      "content": "[XXXXX1183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50556": {
+      "content": "[XXXXX765]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50557": {
+      "content": "[XXXXX371]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50558": {
+      "content": "[XXXXX256]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50559": {
+      "content": "[XXXXX964]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50560": {
+      "content": "[XXXXX1148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50561": {
+      "content": "[XXXXX930]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50562": {
+      "content": "[XXXXX212]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50563": {
+      "content": "[XXXXX133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50564": {
+      "content": "[XXXXX608]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50565": {
+      "content": "[XXXXX281]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50566": {
+      "content": "[XXXXX1045]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50567": {
+      "content": "[XXXXX928]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50568": {
+      "content": "[XXXXX1154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50569": {
+      "content": "[XXXXX334]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50570": {
+      "content": "[XXXXX861]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50571": {
+      "content": "[XXXXX87]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50572": {
+      "content": "[XXXXX941]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50573": {
+      "content": "[XXXXX359]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50574": {
+      "content": "[XXXXX55]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50575": {
+      "content": "[XXXXX842]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50576": {
+      "content": "[XXXXX427]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50577": {
+      "content": "[XXXXX491]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50578": {
+      "content": "[XXXXX137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50579": {
+      "content": "[XXXXX47]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50580": {
+      "content": "[XXXXX511]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50581": {
+      "content": "[XXXXX81]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50582": {
+      "content": "[XXXXX139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50583": {
+      "content": "[XXXXX226]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50584": {
+      "content": "[XXXXX563]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50585": {
+      "content": "[XXXXX708]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50586": {
+      "content": "[XXXXX820]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50587": {
+      "content": "[XXXXX65]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50588": {
+      "content": "[XXXXX381]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50589": {
+      "content": "[XXXXX22]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50590": {
+      "content": "[XXXXX1064]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50591": {
+      "content": "[XXXXX874]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50592": {
+      "content": "[XXXXX944]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50593": {
+      "content": "[XXXXX6]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50594": {
+      "content": "[XXXXX313]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50595": {
+      "content": "[XXXXX471]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50596": {
+      "content": "[XXXXX1118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50597": {
+      "content": "[XXXXX849]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50598": {
+      "content": "[XXXXX483]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50599": {
+      "content": "[XXXXX713]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50600": {
+      "content": "[XXXXX222]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50601": {
+      "content": "[XXXXX640]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50602": {
+      "content": "[XXXXX12]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50603": {
+      "content": "[XXXXX285]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50604": {
+      "content": "[XXXXX327]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50605": {
+      "content": "[XXXXX378]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50606": {
+      "content": "[XXXXX790]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50607": {
+      "content": "[XXXXX1179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50608": {
+      "content": "[XXXXX15]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50609": {
+      "content": "[XXXXX229]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50610": {
+      "content": "[XXXXX771]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50611": {
+      "content": "[XXXXX559]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50612": {
+      "content": "[XXXXX253]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50613": {
+      "content": "[XXXXX644]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50614": {
+      "content": "[XXXXX811]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50615": {
+      "content": "[XXXXX554]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50616": {
+      "content": "[XXXXX744]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50617": {
+      "content": "[XXXXX786]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50618": {
+      "content": "[XXXXX913]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50619": {
+      "content": "[XXXXX966]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50620": {
+      "content": "[XXXXX972]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50621": {
+      "content": "[XXXXX664]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50622": {
+      "content": "[XXXXX1131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50623": {
+      "content": "[XXXXX1132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50624": {
+      "content": "[XXXXX376]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50625": {
+      "content": "[XXXXX672]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50626": {
+      "content": "[XXXXX1013]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50627": {
+      "content": "[XXXXX328]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50628": {
+      "content": "[XXXXX889]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50629": {
+      "content": "[XXXXX1141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50630": {
+      "content": "[XXXXX429]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50631": {
+      "content": "[XXXXX114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50632": {
+      "content": "[XXXXX523]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50633": {
+      "content": "[XXXXX833]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50634": {
+      "content": "[XXXXX927]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50635": {
+      "content": "[XXXXX297]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50636": {
+      "content": "[XXXXX812]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50637": {
+      "content": "[XXXXX1062]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50638": {
+      "content": "[XXXXX152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50639": {
+      "content": "[XXXXX1010]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50640": {
+      "content": "[XXXXX690]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50641": {
+      "content": "[XXXXX363]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50642": {
+      "content": "[XXXXX1103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50643": {
+      "content": "[XXXXX194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50644": {
+      "content": "[XXXXX844]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50645": {
+      "content": "[XXXXX667]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50646": {
+      "content": "[XXXXX720]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50647": {
+      "content": "[XXXXX770]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50648": {
+      "content": "[XXXXX515]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50649": {
+      "content": "[XXXXX196]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50650": {
+      "content": "[XXXXX283]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50651": {
+      "content": "[XXXXX95]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50652": {
+      "content": "[XXXXX528]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50653": {
+      "content": "[XXXXX749]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50654": {
+      "content": "[XXXXX934]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50655": {
+      "content": "[XXXXX1052]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50656": {
+      "content": "[XXXXX1188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50657": {
+      "content": "[XXXXX1001]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50658": {
+      "content": "[XXXXX785]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50659": {
+      "content": "[XXXXX393]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50660": {
+      "content": "[XXXXX502]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50661": {
+      "content": "[XXXXX404]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50662": {
+      "content": "[XXXXX129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50663": {
+      "content": "[XXXXX643]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50664": {
+      "content": "[XXXXX1086]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50665": {
+      "content": "[XXXXX1104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50666": {
+      "content": "[XXXXX326]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50667": {
+      "content": "[XXXXX330]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50668": {
+      "content": "[XXXXX620]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50669": {
+      "content": "[XXXXX193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50670": {
+      "content": "[XXXXX470]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50671": {
+      "content": "[XXXXX279]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50672": {
+      "content": "[XXXXX97]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50673": {
+      "content": "[XXXXX177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50674": {
+      "content": "[XXXXX510]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50675": {
+      "content": "[XXXXX225]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50676": {
+      "content": "[XXXXX572]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50677": {
+      "content": "[XXXXX777]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50678": {
+      "content": "[XXXXX1135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50679": {
+      "content": "[XXXXX1160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50680": {
+      "content": "[XXXXX558]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50681": {
+      "content": "[XXXXX416]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50682": {
+      "content": "[XXXXX246]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50683": {
+      "content": "[XXXXX799]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50684": {
+      "content": "[XXXXX153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50685": {
+      "content": "[XXXXX671]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50686": {
+      "content": "[XXXXX809]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50687": {
+      "content": "[XXXXX525]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50688": {
+      "content": "[XXXXX1004]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50689": {
+      "content": "[XXXXX1005]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50690": {
+      "content": "[XXXXX1194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50691": {
+      "content": "[XXXXX408]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50692": {
+      "content": "[XXXXX492]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50693": {
+      "content": "[XXXXX973]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50694": {
+      "content": "[XXXXX242]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50695": {
+      "content": "[XXXXX357]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50696": {
+      "content": "[XXXXX851]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50697": {
+      "content": "[XXXXX999]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50698": {
+      "content": "[XXXXX969]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50699": {
+      "content": "[XXXXX453]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50700": {
+      "content": "[XXXXX730]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50701": {
+      "content": "[XXXXX54]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50702": {
+      "content": "[XXXXX480]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50703": {
+      "content": "[XXXXX564]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50704": {
+      "content": "[XXXXX600]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50705": {
+      "content": "[XXXXX654]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50706": {
+      "content": "[XXXXX37]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50707": {
+      "content": "[XXXXX605]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50708": {
+      "content": "[XXXXX164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50709": {
+      "content": "[XXXXX395]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50710": {
+      "content": "[XXXXX401]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50711": {
+      "content": "[XXXXX446]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50712": {
+      "content": "[XXXXX658]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50713": {
+      "content": "[XXXXX60]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50714": {
+      "content": "[XXXXX107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50715": {
+      "content": "[XXXXX131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50716": {
+      "content": "[XXXXX387]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50717": {
+      "content": "[XXXXX67]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50718": {
+      "content": "[XXXXX743]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50719": {
+      "content": "[XXXXX657]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50720": {
+      "content": "[XXXXX418]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50721": {
+      "content": "[XXXXX787]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50722": {
+      "content": "[XXXXX838]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50723": {
+      "content": "[XXXXX298]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50724": {
+      "content": "[XXXXX1007]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50725": {
+      "content": "[XXXXX1027]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50726": {
+      "content": "[XXXXX1078]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50727": {
+      "content": "[XXXXX651]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50728": {
+      "content": "[XXXXX875]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50729": {
+      "content": "[XXXXX258]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50730": {
+      "content": "[XXXXX413]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50731": {
+      "content": "[XXXXX1092]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50732": {
+      "content": "[XXXXX124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50733": {
+      "content": "[XXXXX308]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50734": {
+      "content": "[XXXXX1085]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50735": {
+      "content": "[XXXXX1170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50736": {
+      "content": "[XXXXX38]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50737": {
+      "content": "[XXXXX438]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50738": {
+      "content": "[XXXXX475]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50739": {
+      "content": "[XXXXX900]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50740": {
+      "content": "[XXXXX263]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50741": {
+      "content": "[XXXXX166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50742": {
+      "content": "[XXXXX698]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50743": {
+      "content": "[XXXXX1127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50744": {
+      "content": "[XXXXX1181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50745": {
+      "content": "[XXXXX763]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50746": {
+      "content": "[XXXXX627]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50747": {
+      "content": "[XXXXX250]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50748": {
+      "content": "[XXXXX757]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50749": {
+      "content": "[XXXXX142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50750": {
+      "content": "[XXXXX794]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50751": {
+      "content": "[XXXXX128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50752": {
+      "content": "[XXXXX35]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50753": {
+      "content": "[XXXXX482]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50754": {
+      "content": "[XXXXX834]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50755": {
+      "content": "[XXXXX679]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50756": {
+      "content": "[XXXXX839]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50757": {
+      "content": "[XXXXX138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50758": {
+      "content": "[XXXXX1066]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50759": {
+      "content": "[XXXXX116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50760": {
+      "content": "[XXXXX317]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50761": {
+      "content": "[XXXXX490]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50762": {
+      "content": "[XXXXX443]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50763": {
+      "content": "[XXXXX879]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50764": {
+      "content": "[XXXXX1101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50765": {
+      "content": "[XXXXX711]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50766": {
+      "content": "[XXXXX123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50767": {
+      "content": "[XXXXX1152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50768": {
+      "content": "[XXXXX692]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50769": {
+      "content": "[XXXXX555]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50770": {
+      "content": "[XXXXX266]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50771": {
+      "content": "[XXXXX0]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50772": {
+      "content": "[XXXXX332]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50773": {
+      "content": "[XXXXX497]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50774": {
+      "content": "[XXXXX904]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50775": {
+      "content": "[XXXXX1019]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50776": {
+      "content": "[XXXXX709]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50777": {
+      "content": "[XXXXX351]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50778": {
+      "content": "[XXXXX764]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50779": {
+      "content": "[XXXXX625]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50780": {
+      "content": "[XXXXX798]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50781": {
+      "content": "[XXXXX205]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50782": {
+      "content": "[XXXXX922]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50783": {
+      "content": "[XXXXX1075]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50784": {
+      "content": "[XXXXX8]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50785": {
+      "content": "[XXXXX422]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50786": {
+      "content": "[XXXXX638]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50787": {
+      "content": "[XXXXX98]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50788": {
+      "content": "[XXXXX814]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50789": {
+      "content": "[XXXXX1057]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50790": {
+      "content": "[XXXXX1070]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50791": {
+      "content": "[XXXXX411]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50792": {
+      "content": "[XXXXX768]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50793": {
+      "content": "[XXXXX1165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50794": {
+      "content": "[XXXXX888]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50795": {
+      "content": "[XXXXX636]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50796": {
+      "content": "[XXXXX1047]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50797": {
+      "content": "[XXXXX960]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50798": {
+      "content": "[XXXXX910]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50799": {
+      "content": "[XXXXX42]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50800": {
+      "content": "[XXXXX238]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50801": {
+      "content": "[XXXXX383]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50802": {
+      "content": "[XXXXX1032]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50803": {
+      "content": "[XXXXX577]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50804": {
+      "content": "[XXXXX268]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50805": {
+      "content": "[XXXXX179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50806": {
+      "content": "[XXXXX1076]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50807": {
+      "content": "[XXXXX1167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50808": {
+      "content": "[XXXXX1172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50809": {
+      "content": "[XXXXX665]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50810": {
+      "content": "[XXXXX126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50811": {
+      "content": "[XXXXX347]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50812": {
+      "content": "[XXXXX544]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50813": {
+      "content": "[XXXXX1026]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50814": {
+      "content": "[XXXXX159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50815": {
+      "content": "[XXXXX503]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50816": {
+      "content": "[XXXXX583]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50817": {
+      "content": "[XXXXX668]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50818": {
+      "content": "[XXXXX1115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50819": {
+      "content": "[XXXXX112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50820": {
+      "content": "[XXXXX154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50821": {
+      "content": "[XXXXX761]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50822": {
+      "content": "[XXXXX540]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50823": {
+      "content": "[XXXXX755]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50824": {
+      "content": "[XXXXX255]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50825": {
+      "content": "[XXXXX459]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50826": {
+      "content": "[XXXXX1090]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50827": {
+      "content": "[XXXXX689]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50828": {
+      "content": "[XXXXX589]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50829": {
+      "content": "[XXXXX122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50830": {
+      "content": "[XXXXX789]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50831": {
+      "content": "[XXXXX481]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50832": {
+      "content": "[XXXXX1044]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50833": {
+      "content": "[XXXXX274]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50834": {
+      "content": "[XXXXX957]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50835": {
+      "content": "[XXXXX1121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50836": {
+      "content": "[XXXXX464]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50837": {
+      "content": "[XXXXX495]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50838": {
+      "content": "[XXXXX1097]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50839": {
+      "content": "[XXXXX581]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50840": {
+      "content": "[XXXXX200]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50841": {
+      "content": "[XXXXX954]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50842": {
+      "content": "[XXXXX48]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50843": {
+      "content": "[XXXXX855]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50844": {
+      "content": "[XXXXX419]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50845": {
+      "content": "[XXXXX919]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50846": {
+      "content": "[XXXXX451]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50847": {
+      "content": "[XXXXX869]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50848": {
+      "content": "[XXXXX1082]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50849": {
+      "content": "[XXXXX1185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50850": {
+      "content": "[XXXXX859]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50851": {
+      "content": "[XXXXX1139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50852": {
+      "content": "[XXXXX1072]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50853": {
+      "content": "[XXXXX220]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50854": {
+      "content": "[XXXXX465]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50855": {
+      "content": "[XXXXX1105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50856": {
+      "content": "[XXXXX1093]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50857": {
+      "content": "[XXXXX953]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50858": {
+      "content": "[XXXXX1187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50859": {
+      "content": "[XXXXX311]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50860": {
+      "content": "[XXXXX403]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50861": {
+      "content": "[XXXXX684]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50862": {
+      "content": "[XXXXX426]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50863": {
+      "content": "[XXXXX68]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50864": {
+      "content": "[XXXXX277]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50865": {
+      "content": "[XXXXX437]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50866": {
+      "content": "[XXXXX896]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50867": {
+      "content": "[XXXXX899]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50868": {
+      "content": "[XXXXX878]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50869": {
+      "content": "[XXXXX1073]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50870": {
+      "content": "[XXXXX774]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50871": {
+      "content": "[XXXXX315]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50872": {
+      "content": "[XXXXX631]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50873": {
+      "content": "[XXXXX223]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50874": {
+      "content": "[XXXXX86]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50875": {
+      "content": "[XXXXX607]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50876": {
+      "content": "[XXXXX149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50877": {
+      "content": "[XXXXX566]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50878": {
+      "content": "[XXXXX740]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50879": {
+      "content": "[XXXXX265]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50880": {
+      "content": "[XXXXX399]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50881": {
+      "content": "[XXXXX1053]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50882": {
+      "content": "[XXXXX1077]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50883": {
+      "content": "[XXXXX336]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50884": {
+      "content": "[XXXXX734]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50885": {
+      "content": "[XXXXX289]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50886": {
+      "content": "[XXXXX221]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50887": {
+      "content": "[XXXXX580]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50888": {
+      "content": "[XXXXX406]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50889": {
+      "content": "[XXXXX854]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50890": {
+      "content": "[XXXXX673]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50891": {
+      "content": "[XXXXX1146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50892": {
+      "content": "[XXXXX29]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50893": {
+      "content": "[XXXXX496]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50894": {
+      "content": "[XXXXX241]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50895": {
+      "content": "[XXXXX929]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50896": {
+      "content": "[XXXXX169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50897": {
+      "content": "[XXXXX1153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50898": {
+      "content": "[XXXXX440]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50899": {
+      "content": "[XXXXX385]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50900": {
+      "content": "[XXXXX499]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50901": {
+      "content": "[XXXXX718]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50902": {
+      "content": "[XXXXX848]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50903": {
+      "content": "[XXXXX877]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50904": {
+      "content": "[XXXXX641]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50905": {
+      "content": "[XXXXX1137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50906": {
+      "content": "[XXXXX269]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50907": {
+      "content": "[XXXXX521]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50908": {
+      "content": "[XXXXX234]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50909": {
+      "content": "[XXXXX987]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50910": {
+      "content": "[XXXXX741]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50911": {
+      "content": "[XXXXX349]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50912": {
+      "content": "[XXXXX93]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50913": {
+      "content": "[XXXXX247]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50914": {
+      "content": "[XXXXX961]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50915": {
+      "content": "[XXXXX1120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50916": {
+      "content": "[XXXXX369]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50917": {
+      "content": "[XXXXX479]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50918": {
+      "content": "[XXXXX892]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50919": {
+      "content": "[XXXXX553]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50920": {
+      "content": "[XXXXX906]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50921": {
+      "content": "[XXXXX571]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50922": {
+      "content": "[XXXXX1046]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50923": {
+      "content": "[XXXXX206]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50924": {
+      "content": "[XXXXX488]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50925": {
+      "content": "[XXXXX445]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50926": {
+      "content": "[XXXXX524]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50927": {
+      "content": "[XXXXX228]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50928": {
+      "content": "[XXXXX998]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50929": {
+      "content": "[XXXXX675]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50930": {
+      "content": "[XXXXX732]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50931": {
+      "content": "[XXXXX1028]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50932": {
+      "content": "[XXXXX494]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50933": {
+      "content": "[XXXXX965]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50934": {
+      "content": "[XXXXX1021]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50935": {
+      "content": "[XXXXX726]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50936": {
+      "content": "[XXXXX168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50937": {
+      "content": "[XXXXX606]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50938": {
+      "content": "[XXXXX974]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50939": {
+      "content": "[XXXXX504]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50940": {
+      "content": "[XXXXX556]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50941": {
+      "content": "[XXXXX1159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50942": {
+      "content": "[XXXXX417]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50943": {
+      "content": "[XXXXX1175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50944": {
+      "content": "[XXXXX1142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50945": {
+      "content": "[XXXXX753]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50946": {
+      "content": "[XXXXX824]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50947": {
+      "content": "[XXXXX251]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50948": {
+      "content": "[XXXXX345]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50949": {
+      "content": "[XXXXX610]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50950": {
+      "content": "[XXXXX276]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50951": {
+      "content": "[XXXXX783]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50952": {
+      "content": "[XXXXX74]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50953": {
+      "content": "[XXXXX1050]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50954": {
+      "content": "[XXXXX71]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50955": {
+      "content": "[XXXXX360]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50956": {
+      "content": "[XXXXX512]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50957": {
+      "content": "[XXXXX341]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50958": {
+      "content": "[XXXXX375]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50959": {
+      "content": "[XXXXX637]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50960": {
+      "content": "[XXXXX1116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50961": {
+      "content": "[XXXXX9]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50962": {
+      "content": "[XXXXX738]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50963": {
+      "content": "[XXXXX856]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50964": {
+      "content": "[XXXXX979]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50965": {
+      "content": "[XXXXX825]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50966": {
+      "content": "[XXXXX852]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50967": {
+      "content": "[XXXXX215]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50968": {
+      "content": "[XXXXX91]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50969": {
+      "content": "[XXXXX257]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50970": {
+      "content": "[XXXXX325]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50971": {
+      "content": "[XXXXX368]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50972": {
+      "content": "[XXXXX1124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50973": {
+      "content": "[XXXXX188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50974": {
+      "content": "[XXXXX905]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50975": {
+      "content": "[XXXXX284]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50976": {
+      "content": "[XXXXX11]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50977": {
+      "content": "[XXXXX83]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50978": {
+      "content": "[XXXXX611]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50979": {
+      "content": "[XXXXX51]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50980": {
+      "content": "[XXXXX99]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50981": {
+      "content": "[XXXXX288]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50982": {
+      "content": "[XXXXX945]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50983": {
+      "content": "[XXXXX975]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50984": {
+      "content": "[XXXXX282]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50985": {
+      "content": "[XXXXX1068]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50986": {
+      "content": "[XXXXX1180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50987": {
+      "content": "[XXXXX574]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50988": {
+      "content": "[XXXXX305]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50989": {
+      "content": "[XXXXX565]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50990": {
+      "content": "[XXXXX865]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50991": {
+      "content": "[XXXXX1014]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50992": {
+      "content": "[XXXXX1138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50993": {
+      "content": "[XXXXX134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50994": {
+      "content": "[XXXXX321]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50995": {
+      "content": "[XXXXX752]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50996": {
+      "content": "[XXXXX108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50997": {
+      "content": "[XXXXX339]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50998": {
+      "content": "[XXXXX893]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50999": {
+      "content": "[XXXXX1177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51000": {
+      "content": "[XXXXX988]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51001": {
+      "content": "[XXXXX719]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51002": {
+      "content": "[XXXXX1059]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51003": {
+      "content": "[XXXXX421]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51004": {
+      "content": "[XXXXX670]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51005": {
+      "content": "[XXXXX949]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51006": {
+      "content": "[XXXXX14]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51007": {
+      "content": "[XXXXX1087]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51008": {
+      "content": "[XXXXX382]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51009": {
+      "content": "[XXXXX531]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51010": {
+      "content": "[XXXXX1079]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51011": {
+      "content": "[XXXXX1067]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51012": {
+      "content": "[XXXXX655]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51013": {
+      "content": "[XXXXX340]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51014": {
+      "content": "[XXXXX398]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51015": {
+      "content": "[XXXXX175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51016": {
+      "content": "[XXXXX232]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51017": {
+      "content": "[XXXXX244]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51018": {
+      "content": "[XXXXX568]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51019": {
+      "content": "[XXXXX1110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51020": {
+      "content": "[XXXXX191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51021": {
+      "content": "[XXXXX931]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51022": {
+      "content": "[XXXXX832]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51023": {
+      "content": "[XXXXX1030]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51024": {
+      "content": "[XXXXX144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51025": {
+      "content": "[XXXXX1102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51026": {
+      "content": "[XXXXX300]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51027": {
+      "content": "[XXXXX996]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51028": {
+      "content": "[XXXXX248]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51029": {
+      "content": "[XXXXX66]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51030": {
+      "content": "[XXXXX735]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51031": {
+      "content": "[XXXXX20]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51032": {
+      "content": "[XXXXX694]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51033": {
+      "content": "[XXXXX845]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51034": {
+      "content": "[XXXXX500]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51035": {
+      "content": "[XXXXX613]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51036": {
+      "content": "[XXXXX117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51037": {
+      "content": "[XXXXX886]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51038": {
+      "content": "[XXXXX261]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51039": {
+      "content": "[XXXXX567]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51040": {
+      "content": "[XXXXX541]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51041": {
+      "content": "[XXXXX529]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51042": {
+      "content": "[XXXXX699]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51043": {
+      "content": "[XXXXX715]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51044": {
+      "content": "[XXXXX1003]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51045": {
+      "content": "[XXXXX518]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51046": {
+      "content": "[XXXXX891]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51047": {
+      "content": "[XXXXX192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51048": {
+      "content": "[XXXXX53]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51049": {
+      "content": "[XXXXX428]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51050": {
+      "content": "[XXXXX183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51051": {
+      "content": "[XXXXX850]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51052": {
+      "content": "[XXXXX539]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51053": {
+      "content": "[XXXXX527]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51054": {
+      "content": "[XXXXX660]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51055": {
+      "content": "[XXXXX409]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51056": {
+      "content": "[XXXXX1122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51057": {
+      "content": "[XXXXX898]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51058": {
+      "content": "[XXXXX858]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51059": {
+      "content": "[XXXXX534]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51060": {
+      "content": "[XXXXX756]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51061": {
+      "content": "[XXXXX63]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51062": {
+      "content": "[XXXXX49]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51063": {
+      "content": "[XXXXX1106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51064": {
+      "content": "[XXXXX111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51065": {
+      "content": "[XXXXX955]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51066": {
+      "content": "[XXXXX309]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51067": {
+      "content": "[XXXXX538]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51068": {
+      "content": "[XXXXX823]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51069": {
+      "content": "[XXXXX867]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51070": {
+      "content": "[XXXXX587]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51071": {
+      "content": "[XXXXX243]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51072": {
+      "content": "[XXXXX677]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51073": {
+      "content": "[XXXXX1017]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51074": {
+      "content": "[XXXXX173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51075": {
+      "content": "[XXXXX682]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51076": {
+      "content": "[XXXXX1184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51077": {
+      "content": "[XXXXX1009]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51078": {
+      "content": "[XXXXX704]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51079": {
+      "content": "[XXXXX532]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51080": {
+      "content": "[XXXXX901]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51081": {
+      "content": "[XXXXX120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51082": {
+      "content": "[XXXXX388]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51083": {
+      "content": "[XXXXX405]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51084": {
+      "content": "[XXXXX788]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51085": {
+      "content": "[XXXXX728]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51086": {
+      "content": "[XXXXX425]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51087": {
+      "content": "[XXXXX883]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51088": {
+      "content": "[XXXXX837]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51089": {
+      "content": "[XXXXX350]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51090": {
+      "content": "[XXXXX716]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51091": {
+      "content": "[XXXXX579]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51092": {
+      "content": "[XXXXX909]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51093": {
+      "content": "[XXXXX884]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51094": {
+      "content": "[XXXXX1011]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51095": {
+      "content": "[XXXXX372]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51096": {
+      "content": "[XXXXX370]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51097": {
+      "content": "[XXXXX468]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51098": {
+      "content": "[XXXXX688]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51099": {
+      "content": "[XXXXX56]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51100": {
+      "content": "[XXXXX653]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51101": {
+      "content": "[XXXXX623]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51102": {
+      "content": "[XXXXX552]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51103": {
+      "content": "[XXXXX314]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51104": {
+      "content": "[XXXXX1018]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51105": {
+      "content": "[XXXXX1091]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51106": {
+      "content": "[XXXXX342]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51107": {
+      "content": "[XXXXX1065]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51108": {
+      "content": "[XXXXX1161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51109": {
+      "content": "[XXXXX959]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51110": {
+      "content": "[XXXXX1035]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51111": {
+      "content": "[XXXXX530]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51112": {
+      "content": "[XXXXX69]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51113": {
+      "content": "[XXXXX489]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51114": {
+      "content": "[XXXXX1]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51115": {
+      "content": "[XXXXX207]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51116": {
+      "content": "[XXXXX433]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51117": {
+      "content": "[XXXXX358]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51118": {
+      "content": "[XXXXX601]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51119": {
+      "content": "[XXXXX2]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51120": {
+      "content": "[XXXXX722]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51121": {
+      "content": "[XXXXX985]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51122": {
+      "content": "[XXXXX908]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51123": {
+      "content": "[XXXXX1024]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51124": {
+      "content": "[XXXXX1111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51125": {
+      "content": "[XXXXX1113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51126": {
+      "content": "[XXXXX678]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51127": {
+      "content": "[XXXXX19]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51128": {
+      "content": "[XXXXX1186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51129": {
+      "content": "[XXXXX808]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51130": {
+      "content": "[XXXXX493]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51131": {
+      "content": "[XXXXX1155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51132": {
+      "content": "[XXXXX217]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51133": {
+      "content": "[XXXXX616]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51134": {
+      "content": "[XXXXX835]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51135": {
+      "content": "[XXXXX994]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51136": {
+      "content": "[XXXXX484]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51137": {
+      "content": "[XXXXX362]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51138": {
+      "content": "[XXXXX582]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51139": {
+      "content": "[XXXXX1034]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51140": {
+      "content": "[XXXXX772]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51141": {
+      "content": "[XXXXX457]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51142": {
+      "content": "[XXXXX604]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51143": {
+      "content": "[XXXXX456]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51144": {
+      "content": "[XXXXX145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51145": {
+      "content": "[XXXXX476]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51146": {
+      "content": "[XXXXX218]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51147": {
+      "content": "[XXXXX199]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51148": {
+      "content": "[XXXXX364]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51149": {
+      "content": "[XXXXX302]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51150": {
+      "content": "[XXXXX881]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51151": {
+      "content": "[XXXXX1088]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51152": {
+      "content": "[XXXXX356]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51153": {
+      "content": "[XXXXX936]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51154": {
+      "content": "[XXXXX978]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51155": {
+      "content": "[XXXXX895]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51156": {
+      "content": "[XXXXX993]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51157": {
+      "content": "[XXXXX458]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51158": {
+      "content": "[XXXXX1002]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51159": {
+      "content": "[XXXXX1022]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51160": {
+      "content": "[XXXXX25]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51161": {
+      "content": "[XXXXX766]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51162": {
+      "content": "[XXXXX64]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51163": {
+      "content": "[XXXXX211]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51164": {
+      "content": "[XXXXX82]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51165": {
+      "content": "[XXXXX634]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51166": {
+      "content": "[XXXXX661]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51167": {
+      "content": "[XXXXX748]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51168": {
+      "content": "[XXXXX778]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51169": {
+      "content": "[XXXXX24]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51170": {
+      "content": "[XXXXX448]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51171": {
+      "content": "[XXXXX887]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51172": {
+      "content": "[XXXXX890]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51173": {
+      "content": "[XXXXX754]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51174": {
+      "content": "[XXXXX343]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51175": {
+      "content": "[XXXXX1069]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51176": {
+      "content": "[XXXXX294]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51177": {
+      "content": "[XXXXX295]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51178": {
+      "content": "[XXXXX197]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51179": {
+      "content": "[XXXXX210]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51180": {
+      "content": "[XXXXX630]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51181": {
+      "content": "[XXXXX707]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51182": {
+      "content": "[XXXXX864]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51183": {
+      "content": "[XXXXX391]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51184": {
+      "content": "[XXXXX338]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51185": {
+      "content": "[XXXXX800]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51186": {
+      "content": "[XXXXX841]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51187": {
+      "content": "[XXXXX967]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51188": {
+      "content": "[XXXXX793]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51189": {
+      "content": "[XXXXX916]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51190": {
+      "content": "[XXXXX603]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51191": {
+      "content": "[XXXXX270]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51192": {
+      "content": "[XXXXX105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51193": {
+      "content": "[XXXXX1016]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51194": {
+      "content": "[XXXXX804]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51195": {
+      "content": "[XXXXX264]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51196": {
+      "content": "[XXXXX155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51197": {
+      "content": "[XXXXX1190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51198": {
+      "content": "[XXXXX813]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51199": {
+      "content": "[XXXXX546]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "keep_accents": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}
diff --git a/checkpoint-4000/trainer_state.json b/checkpoint-4000/trainer_state.json
new file mode 100644
index 0000000..df51ab4
--- /dev/null
+++ b/checkpoint-4000/trainer_state.json
@@ -0,0 +1,8122 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 3.3140016570008286,
+  "eval_steps": 500,
+  "global_step": 4000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "entropy": 7.218191003799438,
+      "epoch": 0.004142502071251036,
+      "grad_norm": 1.265625,
+      "learning_rate": 2e-06,
+      "loss": 6.8898,
+      "mean_token_accuracy": 0.08805170804262161,
+      "num_tokens": 9149.0,
+      "step": 5
+    },
+    {
+      "entropy": 7.191673707962036,
+      "epoch": 0.008285004142502071,
+      "grad_norm": 1.5078125,
+      "learning_rate": 4.5e-06,
+      "loss": 6.7268,
+      "mean_token_accuracy": 0.09304728880524635,
+      "num_tokens": 16800.0,
+      "step": 10
+    },
+    {
+      "entropy": 7.134524202346801,
+      "epoch": 0.012427506213753107,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7e-06,
+      "loss": 6.8905,
+      "mean_token_accuracy": 0.0921505056321621,
+      "num_tokens": 26617.0,
+      "step": 15
+    },
+    {
+      "entropy": 7.115550088882446,
+      "epoch": 0.016570008285004142,
+      "grad_norm": 1.25,
+      "learning_rate": 9.5e-06,
+      "loss": 6.8021,
+      "mean_token_accuracy": 0.09268744736909866,
+      "num_tokens": 35855.0,
+      "step": 20
+    },
+    {
+      "entropy": 7.12396879196167,
+      "epoch": 0.020712510356255178,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.2e-05,
+      "loss": 7.0094,
+      "mean_token_accuracy": 0.08752714470028877,
+      "num_tokens": 45644.0,
+      "step": 25
+    },
+    {
+      "entropy": 7.054446792602539,
+      "epoch": 0.024855012427506214,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.4500000000000002e-05,
+      "loss": 6.8922,
+      "mean_token_accuracy": 0.09398627206683159,
+      "num_tokens": 54641.0,
+      "step": 30
+    },
+    {
+      "entropy": 7.012255907058716,
+      "epoch": 0.02899751449875725,
+      "grad_norm": 1.0234375,
+      "learning_rate": 1.7000000000000003e-05,
+      "loss": 6.7519,
+      "mean_token_accuracy": 0.08958807587623596,
+      "num_tokens": 63924.0,
+      "step": 35
+    },
+    {
+      "entropy": 7.068031549453735,
+      "epoch": 0.033140016570008285,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.95e-05,
+      "loss": 6.89,
+      "mean_token_accuracy": 0.09437783882021904,
+      "num_tokens": 73452.0,
+      "step": 40
+    },
+    {
+      "entropy": 7.06072301864624,
+      "epoch": 0.037282518641259324,
+      "grad_norm": 1.0234375,
+      "learning_rate": 2.2e-05,
+      "loss": 6.9455,
+      "mean_token_accuracy": 0.0851291574537754,
+      "num_tokens": 82731.0,
+      "step": 45
+    },
+    {
+      "entropy": 7.090083169937134,
+      "epoch": 0.041425020712510356,
+      "grad_norm": 1.1015625,
+      "learning_rate": 2.4500000000000003e-05,
+      "loss": 6.7734,
+      "mean_token_accuracy": 0.09048294499516488,
+      "num_tokens": 92626.0,
+      "step": 50
+    },
+    {
+      "entropy": 7.149203157424926,
+      "epoch": 0.045567522783761395,
+      "grad_norm": 1.21875,
+      "learning_rate": 2.7e-05,
+      "loss": 6.9497,
+      "mean_token_accuracy": 0.08217904865741729,
+      "num_tokens": 101380.0,
+      "step": 55
+    },
+    {
+      "entropy": 7.119951963424683,
+      "epoch": 0.04971002485501243,
+      "grad_norm": 1.046875,
+      "learning_rate": 2.95e-05,
+      "loss": 6.8604,
+      "mean_token_accuracy": 0.09202293381094932,
+      "num_tokens": 109895.0,
+      "step": 60
+    },
+    {
+      "entropy": 7.2014998435974125,
+      "epoch": 0.053852526926263466,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.2e-05,
+      "loss": 6.8449,
+      "mean_token_accuracy": 0.09257669150829315,
+      "num_tokens": 119203.0,
+      "step": 65
+    },
+    {
+      "entropy": 7.1111664295196535,
+      "epoch": 0.0579950289975145,
+      "grad_norm": 1.1484375,
+      "learning_rate": 3.4500000000000005e-05,
+      "loss": 6.7903,
+      "mean_token_accuracy": 0.09657297283411026,
+      "num_tokens": 127572.0,
+      "step": 70
+    },
+    {
+      "entropy": 7.04930944442749,
+      "epoch": 0.06213753106876554,
+      "grad_norm": 1.03125,
+      "learning_rate": 3.7e-05,
+      "loss": 6.8304,
+      "mean_token_accuracy": 0.09063600301742554,
+      "num_tokens": 137161.0,
+      "step": 75
+    },
+    {
+      "entropy": 7.044711875915527,
+      "epoch": 0.06628003314001657,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.95e-05,
+      "loss": 6.9451,
+      "mean_token_accuracy": 0.08874713778495788,
+      "num_tokens": 145991.0,
+      "step": 80
+    },
+    {
+      "entropy": 7.130092525482178,
+      "epoch": 0.07042253521126761,
+      "grad_norm": 1.0546875,
+      "learning_rate": 4.2000000000000004e-05,
+      "loss": 6.8464,
+      "mean_token_accuracy": 0.08955071866512299,
+      "num_tokens": 154927.0,
+      "step": 85
+    },
+    {
+      "entropy": 7.090402746200562,
+      "epoch": 0.07456503728251865,
+      "grad_norm": 1.34375,
+      "learning_rate": 4.45e-05,
+      "loss": 6.7595,
+      "mean_token_accuracy": 0.09832768961787224,
+      "num_tokens": 163234.0,
+      "step": 90
+    },
+    {
+      "entropy": 7.08957576751709,
+      "epoch": 0.07870753935376967,
+      "grad_norm": 1.015625,
+      "learning_rate": 4.7000000000000004e-05,
+      "loss": 6.7163,
+      "mean_token_accuracy": 0.09379880875349045,
+      "num_tokens": 171554.0,
+      "step": 95
+    },
+    {
+      "entropy": 7.044517278671265,
+      "epoch": 0.08285004142502071,
+      "grad_norm": 1.1328125,
+      "learning_rate": 4.9500000000000004e-05,
+      "loss": 6.8173,
+      "mean_token_accuracy": 0.0955286517739296,
+      "num_tokens": 180171.0,
+      "step": 100
+    },
+    {
+      "entropy": 7.050950908660889,
+      "epoch": 0.08699254349627175,
+      "grad_norm": 1.0859375,
+      "learning_rate": 5.2e-05,
+      "loss": 6.761,
+      "mean_token_accuracy": 0.09741089940071106,
+      "num_tokens": 189216.0,
+      "step": 105
+    },
+    {
+      "entropy": 7.173562717437744,
+      "epoch": 0.09113504556752279,
+      "grad_norm": 1.015625,
+      "learning_rate": 5.45e-05,
+      "loss": 6.9519,
+      "mean_token_accuracy": 0.08675800338387489,
+      "num_tokens": 200022.0,
+      "step": 110
+    },
+    {
+      "entropy": 7.183744478225708,
+      "epoch": 0.09527754763877382,
+      "grad_norm": 1.2265625,
+      "learning_rate": 5.7e-05,
+      "loss": 6.8642,
+      "mean_token_accuracy": 0.09210581332445145,
+      "num_tokens": 208686.0,
+      "step": 115
+    },
+    {
+      "entropy": 7.121539115905762,
+      "epoch": 0.09942004971002485,
+      "grad_norm": 1.1875,
+      "learning_rate": 5.9499999999999996e-05,
+      "loss": 6.8829,
+      "mean_token_accuracy": 0.09462191313505172,
+      "num_tokens": 218266.0,
+      "step": 120
+    },
+    {
+      "entropy": 7.006736946105957,
+      "epoch": 0.1035625517812759,
+      "grad_norm": 1.046875,
+      "learning_rate": 6.2e-05,
+      "loss": 6.7523,
+      "mean_token_accuracy": 0.08771666437387467,
+      "num_tokens": 227658.0,
+      "step": 125
+    },
+    {
+      "entropy": 7.040027761459351,
+      "epoch": 0.10770505385252693,
+      "grad_norm": 1.1015625,
+      "learning_rate": 6.450000000000001e-05,
+      "loss": 6.7014,
+      "mean_token_accuracy": 0.1004502885043621,
+      "num_tokens": 236301.0,
+      "step": 130
+    },
+    {
+      "entropy": 7.106470441818237,
+      "epoch": 0.11184755592377796,
+      "grad_norm": 1.1171875,
+      "learning_rate": 6.7e-05,
+      "loss": 6.8424,
+      "mean_token_accuracy": 0.08812138065695763,
+      "num_tokens": 246355.0,
+      "step": 135
+    },
+    {
+      "entropy": 7.174679756164551,
+      "epoch": 0.115990057995029,
+      "grad_norm": 1.15625,
+      "learning_rate": 6.950000000000001e-05,
+      "loss": 6.8174,
+      "mean_token_accuracy": 0.0924198254942894,
+      "num_tokens": 256023.0,
+      "step": 140
+    },
+    {
+      "entropy": 7.10174069404602,
+      "epoch": 0.12013256006628004,
+      "grad_norm": 0.9921875,
+      "learning_rate": 7.2e-05,
+      "loss": 6.9036,
+      "mean_token_accuracy": 0.08638993799686431,
+      "num_tokens": 266893.0,
+      "step": 145
+    },
+    {
+      "entropy": 7.019921684265137,
+      "epoch": 0.12427506213753108,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7.45e-05,
+      "loss": 6.6606,
+      "mean_token_accuracy": 0.08872481286525727,
+      "num_tokens": 276075.0,
+      "step": 150
+    },
+    {
+      "entropy": 7.042754888534546,
+      "epoch": 0.12841756420878211,
+      "grad_norm": 1.25,
+      "learning_rate": 7.7e-05,
+      "loss": 6.7532,
+      "mean_token_accuracy": 0.09296932220458984,
+      "num_tokens": 285529.0,
+      "step": 155
+    },
+    {
+      "entropy": 7.064399909973145,
+      "epoch": 0.13256006628003314,
+      "grad_norm": 1.15625,
+      "learning_rate": 7.950000000000001e-05,
+      "loss": 6.762,
+      "mean_token_accuracy": 0.09406789913773536,
+      "num_tokens": 294403.0,
+      "step": 160
+    },
+    {
+      "entropy": 7.152362823486328,
+      "epoch": 0.13670256835128416,
+      "grad_norm": 1.28125,
+      "learning_rate": 8.2e-05,
+      "loss": 6.8553,
+      "mean_token_accuracy": 0.09358441680669785,
+      "num_tokens": 303507.0,
+      "step": 165
+    },
+    {
+      "entropy": 7.071487474441528,
+      "epoch": 0.14084507042253522,
+      "grad_norm": 1.21875,
+      "learning_rate": 8.450000000000001e-05,
+      "loss": 6.7534,
+      "mean_token_accuracy": 0.09645206108689308,
+      "num_tokens": 312393.0,
+      "step": 170
+    },
+    {
+      "entropy": 6.956210470199585,
+      "epoch": 0.14498757249378624,
+      "grad_norm": 1.0859375,
+      "learning_rate": 8.7e-05,
+      "loss": 6.7226,
+      "mean_token_accuracy": 0.09953253641724587,
+      "num_tokens": 321309.0,
+      "step": 175
+    },
+    {
+      "entropy": 7.2200812816619875,
+      "epoch": 0.1491300745650373,
+      "grad_norm": 1.1328125,
+      "learning_rate": 8.95e-05,
+      "loss": 6.7879,
+      "mean_token_accuracy": 0.09582221284508705,
+      "num_tokens": 330217.0,
+      "step": 180
+    },
+    {
+      "entropy": 6.964824962615967,
+      "epoch": 0.15327257663628832,
+      "grad_norm": 1.2109375,
+      "learning_rate": 9.2e-05,
+      "loss": 6.8296,
+      "mean_token_accuracy": 0.09584516286849976,
+      "num_tokens": 339587.0,
+      "step": 185
+    },
+    {
+      "entropy": 7.104565525054932,
+      "epoch": 0.15741507870753935,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.45e-05,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.09563353508710862,
+      "num_tokens": 349367.0,
+      "step": 190
+    },
+    {
+      "entropy": 6.90956711769104,
+      "epoch": 0.1615575807787904,
+      "grad_norm": 1.1953125,
+      "learning_rate": 9.7e-05,
+      "loss": 6.6535,
+      "mean_token_accuracy": 0.09533214569091797,
+      "num_tokens": 358272.0,
+      "step": 195
+    },
+    {
+      "entropy": 7.184430170059204,
+      "epoch": 0.16570008285004142,
+      "grad_norm": 1.1875,
+      "learning_rate": 9.95e-05,
+      "loss": 6.8847,
+      "mean_token_accuracy": 0.09342379868030548,
+      "num_tokens": 367709.0,
+      "step": 200
+    },
+    {
+      "entropy": 7.108258152008057,
+      "epoch": 0.16984258492129245,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000102,
+      "loss": 6.7363,
+      "mean_token_accuracy": 0.09321728497743606,
+      "num_tokens": 376180.0,
+      "step": 205
+    },
+    {
+      "entropy": 7.143853282928466,
+      "epoch": 0.1739850869925435,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00010449999999999999,
+      "loss": 6.8927,
+      "mean_token_accuracy": 0.08639989122748375,
+      "num_tokens": 385636.0,
+      "step": 210
+    },
+    {
+      "entropy": 7.005528688430786,
+      "epoch": 0.17812758906379453,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000107,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.10387283116579056,
+      "num_tokens": 394486.0,
+      "step": 215
+    },
+    {
+      "entropy": 7.066776275634766,
+      "epoch": 0.18227009113504558,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0001095,
+      "loss": 6.7286,
+      "mean_token_accuracy": 0.09739693626761436,
+      "num_tokens": 403765.0,
+      "step": 220
+    },
+    {
+      "entropy": 6.9391695022583,
+      "epoch": 0.1864125932062966,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000112,
+      "loss": 6.7198,
+      "mean_token_accuracy": 0.09883175939321517,
+      "num_tokens": 412988.0,
+      "step": 225
+    },
+    {
+      "entropy": 7.029045248031617,
+      "epoch": 0.19055509527754763,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0001145,
+      "loss": 6.6219,
+      "mean_token_accuracy": 0.09850638806819915,
+      "num_tokens": 422096.0,
+      "step": 230
+    },
+    {
+      "entropy": 7.055552911758423,
+      "epoch": 0.19469759734879868,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011700000000000001,
+      "loss": 6.7907,
+      "mean_token_accuracy": 0.08912368193268776,
+      "num_tokens": 431333.0,
+      "step": 235
+    },
+    {
+      "entropy": 7.076433277130127,
+      "epoch": 0.1988400994200497,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00011949999999999999,
+      "loss": 6.825,
+      "mean_token_accuracy": 0.0998022735118866,
+      "num_tokens": 440382.0,
+      "step": 240
+    },
+    {
+      "entropy": 7.098494958877564,
+      "epoch": 0.20298260149130073,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000122,
+      "loss": 6.7184,
+      "mean_token_accuracy": 0.1035430908203125,
+      "num_tokens": 448469.0,
+      "step": 245
+    },
+    {
+      "entropy": 7.065437746047974,
+      "epoch": 0.2071251035625518,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001245,
+      "loss": 6.7562,
+      "mean_token_accuracy": 0.0973759837448597,
+      "num_tokens": 457356.0,
+      "step": 250
+    },
+    {
+      "entropy": 7.103154182434082,
+      "epoch": 0.2112676056338028,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000127,
+      "loss": 6.7821,
+      "mean_token_accuracy": 0.09721289053559304,
+      "num_tokens": 465928.0,
+      "step": 255
+    },
+    {
+      "entropy": 6.99681601524353,
+      "epoch": 0.21541010770505387,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0001295,
+      "loss": 6.6931,
+      "mean_token_accuracy": 0.09931288808584213,
+      "num_tokens": 475269.0,
+      "step": 260
+    },
+    {
+      "entropy": 6.960800266265869,
+      "epoch": 0.2195526097763049,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000132,
+      "loss": 6.679,
+      "mean_token_accuracy": 0.09512786641716957,
+      "num_tokens": 485450.0,
+      "step": 265
+    },
+    {
+      "entropy": 7.0514568328857425,
+      "epoch": 0.22369511184755592,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00013450000000000002,
+      "loss": 6.7347,
+      "mean_token_accuracy": 0.10228226557374001,
+      "num_tokens": 494029.0,
+      "step": 270
+    },
+    {
+      "entropy": 6.9516912460327145,
+      "epoch": 0.22783761391880697,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013700000000000002,
+      "loss": 6.676,
+      "mean_token_accuracy": 0.10202871784567832,
+      "num_tokens": 503253.0,
+      "step": 275
+    },
+    {
+      "entropy": 7.018160057067871,
+      "epoch": 0.231980115990058,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0001395,
+      "loss": 6.6685,
+      "mean_token_accuracy": 0.09529435187578202,
+      "num_tokens": 512857.0,
+      "step": 280
+    },
+    {
+      "entropy": 6.9714985370635985,
+      "epoch": 0.23612261806130902,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00014199999999999998,
+      "loss": 6.7719,
+      "mean_token_accuracy": 0.09288227260112762,
+      "num_tokens": 522319.0,
+      "step": 285
+    },
+    {
+      "entropy": 7.113205528259277,
+      "epoch": 0.24026512013256007,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0001445,
+      "loss": 6.7224,
+      "mean_token_accuracy": 0.09471780881285667,
+      "num_tokens": 531469.0,
+      "step": 290
+    },
+    {
+      "entropy": 6.976934480667114,
+      "epoch": 0.2444076222038111,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000147,
+      "loss": 6.756,
+      "mean_token_accuracy": 0.09480062946677208,
+      "num_tokens": 540470.0,
+      "step": 295
+    },
+    {
+      "entropy": 7.011937475204467,
+      "epoch": 0.24855012427506215,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0001495,
+      "loss": 6.7584,
+      "mean_token_accuracy": 0.09700122326612473,
+      "num_tokens": 550317.0,
+      "step": 300
+    },
+    {
+      "entropy": 7.0365160465240475,
+      "epoch": 0.2526926263463132,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000152,
+      "loss": 6.7067,
+      "mean_token_accuracy": 0.09434132501482964,
+      "num_tokens": 559409.0,
+      "step": 305
+    },
+    {
+      "entropy": 6.928857326507568,
+      "epoch": 0.25683512841756423,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00015450000000000001,
+      "loss": 6.768,
+      "mean_token_accuracy": 0.10764710158109665,
+      "num_tokens": 568726.0,
+      "step": 310
+    },
+    {
+      "entropy": 7.103991413116455,
+      "epoch": 0.2609776304888152,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000157,
+      "loss": 6.7179,
+      "mean_token_accuracy": 0.0976541943848133,
+      "num_tokens": 577926.0,
+      "step": 315
+    },
+    {
+      "entropy": 7.047203779220581,
+      "epoch": 0.2651201325600663,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001595,
+      "loss": 6.7448,
+      "mean_token_accuracy": 0.09809661954641342,
+      "num_tokens": 586695.0,
+      "step": 320
+    },
+    {
+      "entropy": 7.039609956741333,
+      "epoch": 0.26926263463131733,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000162,
+      "loss": 6.771,
+      "mean_token_accuracy": 0.0949723981320858,
+      "num_tokens": 596250.0,
+      "step": 325
+    },
+    {
+      "entropy": 7.063632202148438,
+      "epoch": 0.27340513670256833,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00016450000000000001,
+      "loss": 6.8221,
+      "mean_token_accuracy": 0.09051206335425377,
+      "num_tokens": 605761.0,
+      "step": 330
+    },
+    {
+      "entropy": 7.019326877593994,
+      "epoch": 0.2775476387738194,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00016700000000000002,
+      "loss": 6.7365,
+      "mean_token_accuracy": 0.09872144013643265,
+      "num_tokens": 614313.0,
+      "step": 335
+    },
+    {
+      "entropy": 7.037422132492066,
+      "epoch": 0.28169014084507044,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00016950000000000003,
+      "loss": 6.7692,
+      "mean_token_accuracy": 0.09455474764108658,
+      "num_tokens": 624470.0,
+      "step": 340
+    },
+    {
+      "entropy": 7.039082098007202,
+      "epoch": 0.28583264291632143,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00017199999999999998,
+      "loss": 6.6843,
+      "mean_token_accuracy": 0.09269843101501465,
+      "num_tokens": 633458.0,
+      "step": 345
+    },
+    {
+      "entropy": 6.942268037796021,
+      "epoch": 0.2899751449875725,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00017449999999999999,
+      "loss": 6.6939,
+      "mean_token_accuracy": 0.09877684414386749,
+      "num_tokens": 643251.0,
+      "step": 350
+    },
+    {
+      "entropy": 6.99584732055664,
+      "epoch": 0.29411764705882354,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000177,
+      "loss": 6.7635,
+      "mean_token_accuracy": 0.09713540598750114,
+      "num_tokens": 652005.0,
+      "step": 355
+    },
+    {
+      "entropy": 7.006586170196533,
+      "epoch": 0.2982601491300746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0001795,
+      "loss": 6.6575,
+      "mean_token_accuracy": 0.10120807588100433,
+      "num_tokens": 661003.0,
+      "step": 360
+    },
+    {
+      "entropy": 6.874996137619019,
+      "epoch": 0.3024026512013256,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000182,
+      "loss": 6.6294,
+      "mean_token_accuracy": 0.09844254851341247,
+      "num_tokens": 670221.0,
+      "step": 365
+    },
+    {
+      "entropy": 7.155635738372803,
+      "epoch": 0.30654515327257664,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001845,
+      "loss": 6.9236,
+      "mean_token_accuracy": 0.0882349319756031,
+      "num_tokens": 680756.0,
+      "step": 370
+    },
+    {
+      "entropy": 6.94540753364563,
+      "epoch": 0.3106876553438277,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000187,
+      "loss": 6.6157,
+      "mean_token_accuracy": 0.10289054960012436,
+      "num_tokens": 689641.0,
+      "step": 375
+    },
+    {
+      "entropy": 6.87992377281189,
+      "epoch": 0.3148301574150787,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001895,
+      "loss": 6.5696,
+      "mean_token_accuracy": 0.09839320331811904,
+      "num_tokens": 698209.0,
+      "step": 380
+    },
+    {
+      "entropy": 6.823869276046753,
+      "epoch": 0.31897265948632975,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000192,
+      "loss": 6.5736,
+      "mean_token_accuracy": 0.10355777889490128,
+      "num_tokens": 706712.0,
+      "step": 385
+    },
+    {
+      "entropy": 7.037634468078613,
+      "epoch": 0.3231151615575808,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0001945,
+      "loss": 6.8017,
+      "mean_token_accuracy": 0.09728012606501579,
+      "num_tokens": 716087.0,
+      "step": 390
+    },
+    {
+      "entropy": 6.911249494552612,
+      "epoch": 0.3272576636288318,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00019700000000000002,
+      "loss": 6.6465,
+      "mean_token_accuracy": 0.09347675815224647,
+      "num_tokens": 725913.0,
+      "step": 395
+    },
+    {
+      "entropy": 6.944440317153931,
+      "epoch": 0.33140016570008285,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019950000000000002,
+      "loss": 6.7201,
+      "mean_token_accuracy": 0.10362306237220764,
+      "num_tokens": 735020.0,
+      "step": 400
+    },
+    {
+      "entropy": 6.985636854171753,
+      "epoch": 0.3355426677713339,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000202,
+      "loss": 6.6216,
+      "mean_token_accuracy": 0.09469136893749237,
+      "num_tokens": 744299.0,
+      "step": 405
+    },
+    {
+      "entropy": 6.883630275726318,
+      "epoch": 0.3396851698425849,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00020449999999999998,
+      "loss": 6.6099,
+      "mean_token_accuracy": 0.09694516137242318,
+      "num_tokens": 753231.0,
+      "step": 410
+    },
+    {
+      "entropy": 6.825357389450073,
+      "epoch": 0.34382767191383595,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000207,
+      "loss": 6.6717,
+      "mean_token_accuracy": 0.10230854973196983,
+      "num_tokens": 763043.0,
+      "step": 415
+    },
+    {
+      "entropy": 7.016851997375488,
+      "epoch": 0.347970173985087,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0002095,
+      "loss": 6.6905,
+      "mean_token_accuracy": 0.09913048222661018,
+      "num_tokens": 771977.0,
+      "step": 420
+    },
+    {
+      "entropy": 6.820244407653808,
+      "epoch": 0.352112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000212,
+      "loss": 6.6243,
+      "mean_token_accuracy": 0.1011092983186245,
+      "num_tokens": 780285.0,
+      "step": 425
+    },
+    {
+      "entropy": 6.956075525283813,
+      "epoch": 0.35625517812758906,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002145,
+      "loss": 6.6593,
+      "mean_token_accuracy": 0.09649045094847679,
+      "num_tokens": 789980.0,
+      "step": 430
+    },
+    {
+      "entropy": 6.984846019744873,
+      "epoch": 0.3603976801988401,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021700000000000002,
+      "loss": 6.6275,
+      "mean_token_accuracy": 0.10474459528923034,
+      "num_tokens": 798700.0,
+      "step": 435
+    },
+    {
+      "entropy": 6.767291498184204,
+      "epoch": 0.36454018227009116,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002195,
+      "loss": 6.7208,
+      "mean_token_accuracy": 0.09600067660212516,
+      "num_tokens": 808758.0,
+      "step": 440
+    },
+    {
+      "entropy": 7.046369791030884,
+      "epoch": 0.36868268434134216,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000222,
+      "loss": 6.6666,
+      "mean_token_accuracy": 0.10458802133798599,
+      "num_tokens": 817692.0,
+      "step": 445
+    },
+    {
+      "entropy": 6.95425066947937,
+      "epoch": 0.3728251864125932,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002245,
+      "loss": 6.7146,
+      "mean_token_accuracy": 0.10474570766091347,
+      "num_tokens": 827052.0,
+      "step": 450
+    },
+    {
+      "entropy": 6.895345544815063,
+      "epoch": 0.37696768848384427,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00022700000000000002,
+      "loss": 6.7139,
+      "mean_token_accuracy": 0.1091882586479187,
+      "num_tokens": 836442.0,
+      "step": 455
+    },
+    {
+      "entropy": 6.922871923446655,
+      "epoch": 0.38111019055509526,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00022950000000000002,
+      "loss": 6.5775,
+      "mean_token_accuracy": 0.10118989571928978,
+      "num_tokens": 846441.0,
+      "step": 460
+    },
+    {
+      "entropy": 6.8815388679504395,
+      "epoch": 0.3852526926263463,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00023200000000000003,
+      "loss": 6.6215,
+      "mean_token_accuracy": 0.10475475937128068,
+      "num_tokens": 856108.0,
+      "step": 465
+    },
+    {
+      "entropy": 6.848587274551392,
+      "epoch": 0.38939519469759737,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00023449999999999998,
+      "loss": 6.5833,
+      "mean_token_accuracy": 0.10137399956583977,
+      "num_tokens": 865788.0,
+      "step": 470
+    },
+    {
+      "entropy": 6.886804008483887,
+      "epoch": 0.39353769676884837,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000237,
+      "loss": 6.6302,
+      "mean_token_accuracy": 0.09514767676591873,
+      "num_tokens": 874833.0,
+      "step": 475
+    },
+    {
+      "entropy": 6.751422643661499,
+      "epoch": 0.3976801988400994,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002395,
+      "loss": 6.5997,
+      "mean_token_accuracy": 0.10276172533631325,
+      "num_tokens": 883685.0,
+      "step": 480
+    },
+    {
+      "entropy": 6.881311464309692,
+      "epoch": 0.40182270091135047,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000242,
+      "loss": 6.6001,
+      "mean_token_accuracy": 0.09796027019619942,
+      "num_tokens": 893908.0,
+      "step": 485
+    },
+    {
+      "entropy": 6.934821891784668,
+      "epoch": 0.40596520298260147,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002445,
+      "loss": 6.7142,
+      "mean_token_accuracy": 0.09827135354280472,
+      "num_tokens": 903081.0,
+      "step": 490
+    },
+    {
+      "entropy": 6.7868632793426515,
+      "epoch": 0.4101077050538525,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000247,
+      "loss": 6.5522,
+      "mean_token_accuracy": 0.10336750745773315,
+      "num_tokens": 912515.0,
+      "step": 495
+    },
+    {
+      "entropy": 6.886235475540161,
+      "epoch": 0.4142502071251036,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002495,
+      "loss": 6.5797,
+      "mean_token_accuracy": 0.1070313923060894,
+      "num_tokens": 921056.0,
+      "step": 500
+    },
+    {
+      "epoch": 0.4142502071251036,
+      "eval_entropy": 6.836038604728194,
+      "eval_loss": 6.684774875640869,
+      "eval_mean_token_accuracy": 0.10272799217021034,
+      "eval_num_tokens": 921056.0,
+      "eval_runtime": 2.7891,
+      "eval_samples_per_second": 1343.421,
+      "eval_steps_per_second": 168.152,
+      "step": 500
+    },
+    {
+      "entropy": 6.7657403469085695,
+      "epoch": 0.4183927091963546,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000252,
+      "loss": 6.5317,
+      "mean_token_accuracy": 0.10417452603578567,
+      "num_tokens": 931112.0,
+      "step": 505
+    },
+    {
+      "entropy": 6.821895503997803,
+      "epoch": 0.4225352112676056,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0002545,
+      "loss": 6.6605,
+      "mean_token_accuracy": 0.0978618748486042,
+      "num_tokens": 941120.0,
+      "step": 510
+    },
+    {
+      "entropy": 6.886211729049682,
+      "epoch": 0.4266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000257,
+      "loss": 6.6044,
+      "mean_token_accuracy": 0.09737976416945457,
+      "num_tokens": 950041.0,
+      "step": 515
+    },
+    {
+      "entropy": 6.879851579666138,
+      "epoch": 0.43082021541010773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002595,
+      "loss": 6.5907,
+      "mean_token_accuracy": 0.10606569275259972,
+      "num_tokens": 958608.0,
+      "step": 520
+    },
+    {
+      "entropy": 6.886484861373901,
+      "epoch": 0.43496271748135873,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.000262,
+      "loss": 6.7158,
+      "mean_token_accuracy": 0.09990910813212395,
+      "num_tokens": 966901.0,
+      "step": 525
+    },
+    {
+      "entropy": 6.767313003540039,
+      "epoch": 0.4391052195526098,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026450000000000003,
+      "loss": 6.5504,
+      "mean_token_accuracy": 0.10768762230873108,
+      "num_tokens": 976198.0,
+      "step": 530
+    },
+    {
+      "entropy": 6.892781782150268,
+      "epoch": 0.44324772162386084,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026700000000000004,
+      "loss": 6.624,
+      "mean_token_accuracy": 0.09861580505967141,
+      "num_tokens": 985248.0,
+      "step": 535
+    },
+    {
+      "entropy": 6.772344255447388,
+      "epoch": 0.44739022369511183,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00026950000000000005,
+      "loss": 6.5014,
+      "mean_token_accuracy": 0.1071978710591793,
+      "num_tokens": 993289.0,
+      "step": 540
+    },
+    {
+      "entropy": 6.820696449279785,
+      "epoch": 0.4515327257663629,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027200000000000005,
+      "loss": 6.5909,
+      "mean_token_accuracy": 0.10533165782690049,
+      "num_tokens": 1001784.0,
+      "step": 545
+    },
+    {
+      "entropy": 6.935409688949585,
+      "epoch": 0.45567522783761394,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002745,
+      "loss": 6.5627,
+      "mean_token_accuracy": 0.10804210156202317,
+      "num_tokens": 1010445.0,
+      "step": 550
+    },
+    {
+      "entropy": 6.745790100097656,
+      "epoch": 0.45981772990886494,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000277,
+      "loss": 6.6184,
+      "mean_token_accuracy": 0.10709234476089477,
+      "num_tokens": 1019084.0,
+      "step": 555
+    },
+    {
+      "entropy": 6.7490733623504635,
+      "epoch": 0.463960231980116,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002795,
+      "loss": 6.5249,
+      "mean_token_accuracy": 0.10461713373661041,
+      "num_tokens": 1027263.0,
+      "step": 560
+    },
+    {
+      "entropy": 6.876884937286377,
+      "epoch": 0.46810273405136704,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00028199999999999997,
+      "loss": 6.6233,
+      "mean_token_accuracy": 0.09752989709377288,
+      "num_tokens": 1036275.0,
+      "step": 565
+    },
+    {
+      "entropy": 6.765736055374146,
+      "epoch": 0.47224523612261804,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002845,
+      "loss": 6.7015,
+      "mean_token_accuracy": 0.09858408868312836,
+      "num_tokens": 1045208.0,
+      "step": 570
+    },
+    {
+      "entropy": 6.9024957656860355,
+      "epoch": 0.4763877381938691,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000287,
+      "loss": 6.6287,
+      "mean_token_accuracy": 0.1026283286511898,
+      "num_tokens": 1054703.0,
+      "step": 575
+    },
+    {
+      "entropy": 6.647345924377442,
+      "epoch": 0.48053024026512015,
+      "grad_norm": 1.5,
+      "learning_rate": 0.0002895,
+      "loss": 6.4841,
+      "mean_token_accuracy": 0.10212503597140313,
+      "num_tokens": 1063652.0,
+      "step": 580
+    },
+    {
+      "entropy": 6.717900657653809,
+      "epoch": 0.48467274233637114,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000292,
+      "loss": 6.5873,
+      "mean_token_accuracy": 0.10145951434969902,
+      "num_tokens": 1072070.0,
+      "step": 585
+    },
+    {
+      "entropy": 6.997959756851197,
+      "epoch": 0.4888152444076222,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002945,
+      "loss": 6.6143,
+      "mean_token_accuracy": 0.10064447894692422,
+      "num_tokens": 1079992.0,
+      "step": 590
+    },
+    {
+      "entropy": 6.657160854339599,
+      "epoch": 0.49295774647887325,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000297,
+      "loss": 6.628,
+      "mean_token_accuracy": 0.10435748845338821,
+      "num_tokens": 1088862.0,
+      "step": 595
+    },
+    {
+      "entropy": 6.773271942138672,
+      "epoch": 0.4971002485501243,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002995,
+      "loss": 6.4317,
+      "mean_token_accuracy": 0.10795770138502121,
+      "num_tokens": 1097614.0,
+      "step": 600
+    },
+    {
+      "entropy": 6.7102379322052,
+      "epoch": 0.5012427506213754,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000302,
+      "loss": 6.6288,
+      "mean_token_accuracy": 0.10706980749964715,
+      "num_tokens": 1107347.0,
+      "step": 605
+    },
+    {
+      "entropy": 6.8672473430633545,
+      "epoch": 0.5053852526926264,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003045,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10073774978518486,
+      "num_tokens": 1116707.0,
+      "step": 610
+    },
+    {
+      "entropy": 6.764383840560913,
+      "epoch": 0.5095277547638773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000307,
+      "loss": 6.6549,
+      "mean_token_accuracy": 0.10234303548932075,
+      "num_tokens": 1126356.0,
+      "step": 615
+    },
+    {
+      "entropy": 6.787193298339844,
+      "epoch": 0.5136702568351285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003095,
+      "loss": 6.5847,
+      "mean_token_accuracy": 0.10079671740531922,
+      "num_tokens": 1136281.0,
+      "step": 620
+    },
+    {
+      "entropy": 6.713733196258545,
+      "epoch": 0.5178127589063795,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000312,
+      "loss": 6.5355,
+      "mean_token_accuracy": 0.10429632142186165,
+      "num_tokens": 1145466.0,
+      "step": 625
+    },
+    {
+      "entropy": 6.7503923892974855,
+      "epoch": 0.5219552609776305,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003145,
+      "loss": 6.5409,
+      "mean_token_accuracy": 0.10918259546160698,
+      "num_tokens": 1154225.0,
+      "step": 630
+    },
+    {
+      "entropy": 6.761834907531738,
+      "epoch": 0.5260977630488816,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000317,
+      "loss": 6.5885,
+      "mean_token_accuracy": 0.09673135951161385,
+      "num_tokens": 1163872.0,
+      "step": 635
+    },
+    {
+      "entropy": 6.69431324005127,
+      "epoch": 0.5302402651201326,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003195,
+      "loss": 6.5244,
+      "mean_token_accuracy": 0.10705070868134499,
+      "num_tokens": 1172695.0,
+      "step": 640
+    },
+    {
+      "entropy": 6.651590061187744,
+      "epoch": 0.5343827671913836,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000322,
+      "loss": 6.3962,
+      "mean_token_accuracy": 0.11006554961204529,
+      "num_tokens": 1181291.0,
+      "step": 645
+    },
+    {
+      "entropy": 6.782713270187378,
+      "epoch": 0.5385252692626347,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00032450000000000003,
+      "loss": 6.5715,
+      "mean_token_accuracy": 0.10394523739814758,
+      "num_tokens": 1189927.0,
+      "step": 650
+    },
+    {
+      "entropy": 6.705166435241699,
+      "epoch": 0.5426677713338857,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00032700000000000003,
+      "loss": 6.5043,
+      "mean_token_accuracy": 0.10940467119216919,
+      "num_tokens": 1197913.0,
+      "step": 655
+    },
+    {
+      "entropy": 6.670699262619019,
+      "epoch": 0.5468102734051367,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032950000000000004,
+      "loss": 6.4309,
+      "mean_token_accuracy": 0.11147961542010307,
+      "num_tokens": 1207032.0,
+      "step": 660
+    },
+    {
+      "entropy": 6.640204334259034,
+      "epoch": 0.5509527754763878,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00033200000000000005,
+      "loss": 6.5397,
+      "mean_token_accuracy": 0.10571447387337685,
+      "num_tokens": 1215710.0,
+      "step": 665
+    },
+    {
+      "entropy": 6.694819068908691,
+      "epoch": 0.5550952775476388,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033450000000000005,
+      "loss": 6.52,
+      "mean_token_accuracy": 0.10049431845545768,
+      "num_tokens": 1225619.0,
+      "step": 670
+    },
+    {
+      "entropy": 6.649594163894653,
+      "epoch": 0.5592377796188898,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000337,
+      "loss": 6.4407,
+      "mean_token_accuracy": 0.11157044768333435,
+      "num_tokens": 1235000.0,
+      "step": 675
+    },
+    {
+      "entropy": 6.612611961364746,
+      "epoch": 0.5633802816901409,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003395,
+      "loss": 6.4462,
+      "mean_token_accuracy": 0.108580531924963,
+      "num_tokens": 1243594.0,
+      "step": 680
+    },
+    {
+      "entropy": 6.843221950531006,
+      "epoch": 0.5675227837613919,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000342,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10460855960845947,
+      "num_tokens": 1252279.0,
+      "step": 685
+    },
+    {
+      "entropy": 6.760235929489136,
+      "epoch": 0.5716652858326429,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034449999999999997,
+      "loss": 6.559,
+      "mean_token_accuracy": 0.10665302500128745,
+      "num_tokens": 1261314.0,
+      "step": 690
+    },
+    {
+      "entropy": 6.55326566696167,
+      "epoch": 0.575807787903894,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000347,
+      "loss": 6.4337,
+      "mean_token_accuracy": 0.11188110187649727,
+      "num_tokens": 1270854.0,
+      "step": 695
+    },
+    {
+      "entropy": 6.618375587463379,
+      "epoch": 0.579950289975145,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003495,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.11392810270190239,
+      "num_tokens": 1279183.0,
+      "step": 700
+    },
+    {
+      "entropy": 6.626208257675171,
+      "epoch": 0.584092792046396,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000352,
+      "loss": 6.5015,
+      "mean_token_accuracy": 0.10761247500777245,
+      "num_tokens": 1288347.0,
+      "step": 705
+    },
+    {
+      "entropy": 6.6855669021606445,
+      "epoch": 0.5882352941176471,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003545,
+      "loss": 6.5036,
+      "mean_token_accuracy": 0.10823310390114785,
+      "num_tokens": 1297449.0,
+      "step": 710
+    },
+    {
+      "entropy": 6.710147094726563,
+      "epoch": 0.5923777961888981,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000357,
+      "loss": 6.4688,
+      "mean_token_accuracy": 0.10904998034238815,
+      "num_tokens": 1306232.0,
+      "step": 715
+    },
+    {
+      "entropy": 6.6553794860839846,
+      "epoch": 0.5965202982601492,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003595,
+      "loss": 6.4857,
+      "mean_token_accuracy": 0.11109372302889824,
+      "num_tokens": 1315073.0,
+      "step": 720
+    },
+    {
+      "entropy": 6.674065732955933,
+      "epoch": 0.6006628003314002,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000362,
+      "loss": 6.5301,
+      "mean_token_accuracy": 0.10648825243115426,
+      "num_tokens": 1324629.0,
+      "step": 725
+    },
+    {
+      "entropy": 6.700368881225586,
+      "epoch": 0.6048053024026512,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0003645,
+      "loss": 6.6444,
+      "mean_token_accuracy": 0.10443340390920638,
+      "num_tokens": 1334152.0,
+      "step": 730
+    },
+    {
+      "entropy": 6.779498624801636,
+      "epoch": 0.6089478044739023,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000367,
+      "loss": 6.5946,
+      "mean_token_accuracy": 0.10130336955189705,
+      "num_tokens": 1343063.0,
+      "step": 735
+    },
+    {
+      "entropy": 6.684298419952393,
+      "epoch": 0.6130903065451533,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0003695,
+      "loss": 6.5241,
+      "mean_token_accuracy": 0.10516620799899101,
+      "num_tokens": 1352632.0,
+      "step": 740
+    },
+    {
+      "entropy": 6.582866573333741,
+      "epoch": 0.6172328086164043,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000372,
+      "loss": 6.4712,
+      "mean_token_accuracy": 0.10765027329325676,
+      "num_tokens": 1361103.0,
+      "step": 745
+    },
+    {
+      "entropy": 6.643687963485718,
+      "epoch": 0.6213753106876554,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003745,
+      "loss": 6.4642,
+      "mean_token_accuracy": 0.10832677409052849,
+      "num_tokens": 1370658.0,
+      "step": 750
+    },
+    {
+      "entropy": 6.64506516456604,
+      "epoch": 0.6255178127589064,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000377,
+      "loss": 6.4878,
+      "mean_token_accuracy": 0.10808288529515267,
+      "num_tokens": 1379817.0,
+      "step": 755
+    },
+    {
+      "entropy": 6.640752458572388,
+      "epoch": 0.6296603148301574,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003795,
+      "loss": 6.4418,
+      "mean_token_accuracy": 0.10874675288796425,
+      "num_tokens": 1389329.0,
+      "step": 760
+    },
+    {
+      "entropy": 6.4627049446105955,
+      "epoch": 0.6338028169014085,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000382,
+      "loss": 6.4902,
+      "mean_token_accuracy": 0.10606684386730195,
+      "num_tokens": 1399279.0,
+      "step": 765
+    },
+    {
+      "entropy": 6.621781063079834,
+      "epoch": 0.6379453189726595,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003845,
+      "loss": 6.4146,
+      "mean_token_accuracy": 0.11267002299427986,
+      "num_tokens": 1408765.0,
+      "step": 770
+    },
+    {
+      "entropy": 6.736465692520142,
+      "epoch": 0.6420878210439105,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038700000000000003,
+      "loss": 6.5632,
+      "mean_token_accuracy": 0.10607504546642303,
+      "num_tokens": 1418615.0,
+      "step": 775
+    },
+    {
+      "entropy": 6.616378879547119,
+      "epoch": 0.6462303231151616,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038950000000000003,
+      "loss": 6.4664,
+      "mean_token_accuracy": 0.10207068845629692,
+      "num_tokens": 1427359.0,
+      "step": 780
+    },
+    {
+      "entropy": 6.70065336227417,
+      "epoch": 0.6503728251864126,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00039200000000000004,
+      "loss": 6.622,
+      "mean_token_accuracy": 0.1116428442299366,
+      "num_tokens": 1435516.0,
+      "step": 785
+    },
+    {
+      "entropy": 6.709064102172851,
+      "epoch": 0.6545153272576636,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00039450000000000005,
+      "loss": 6.5704,
+      "mean_token_accuracy": 0.10583743155002594,
+      "num_tokens": 1444438.0,
+      "step": 790
+    },
+    {
+      "entropy": 6.671351766586303,
+      "epoch": 0.6586578293289147,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00039700000000000005,
+      "loss": 6.4996,
+      "mean_token_accuracy": 0.11326526403427124,
+      "num_tokens": 1453740.0,
+      "step": 795
+    },
+    {
+      "entropy": 6.614573907852173,
+      "epoch": 0.6628003314001657,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003995,
+      "loss": 6.4874,
+      "mean_token_accuracy": 0.11111863479018211,
+      "num_tokens": 1462083.0,
+      "step": 800
+    },
+    {
+      "entropy": 6.484545516967773,
+      "epoch": 0.6669428334714167,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000402,
+      "loss": 6.4127,
+      "mean_token_accuracy": 0.1100592203438282,
+      "num_tokens": 1471459.0,
+      "step": 805
+    },
+    {
+      "entropy": 6.621589279174804,
+      "epoch": 0.6710853355426678,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004045,
+      "loss": 6.3972,
+      "mean_token_accuracy": 0.11681128293275833,
+      "num_tokens": 1480516.0,
+      "step": 810
+    },
+    {
+      "entropy": 6.421737241744995,
+      "epoch": 0.6752278376139188,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00040699999999999997,
+      "loss": 6.3,
+      "mean_token_accuracy": 0.11318568140268326,
+      "num_tokens": 1489268.0,
+      "step": 815
+    },
+    {
+      "entropy": 6.700246906280517,
+      "epoch": 0.6793703396851698,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004095,
+      "loss": 6.5174,
+      "mean_token_accuracy": 0.11110908538103104,
+      "num_tokens": 1498819.0,
+      "step": 820
+    },
+    {
+      "entropy": 6.622490644454956,
+      "epoch": 0.6835128417564209,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000412,
+      "loss": 6.501,
+      "mean_token_accuracy": 0.11033953949809075,
+      "num_tokens": 1507852.0,
+      "step": 825
+    },
+    {
+      "entropy": 6.59730544090271,
+      "epoch": 0.6876553438276719,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004145,
+      "loss": 6.5302,
+      "mean_token_accuracy": 0.11122860461473465,
+      "num_tokens": 1517538.0,
+      "step": 830
+    },
+    {
+      "entropy": 6.458763217926025,
+      "epoch": 0.6917978458989229,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000417,
+      "loss": 6.4061,
+      "mean_token_accuracy": 0.11324542313814163,
+      "num_tokens": 1525389.0,
+      "step": 835
+    },
+    {
+      "entropy": 6.57511887550354,
+      "epoch": 0.695940347970174,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004195,
+      "loss": 6.3741,
+      "mean_token_accuracy": 0.11116622686386109,
+      "num_tokens": 1534117.0,
+      "step": 840
+    },
+    {
+      "entropy": 6.522304344177246,
+      "epoch": 0.700082850041425,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000422,
+      "loss": 6.4029,
+      "mean_token_accuracy": 0.11315450444817543,
+      "num_tokens": 1542610.0,
+      "step": 845
+    },
+    {
+      "entropy": 6.5175107479095455,
+      "epoch": 0.704225352112676,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004245,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.1143906556069851,
+      "num_tokens": 1551771.0,
+      "step": 850
+    },
+    {
+      "entropy": 6.620167636871338,
+      "epoch": 0.7083678541839271,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.000427,
+      "loss": 6.5779,
+      "mean_token_accuracy": 0.10512799099087715,
+      "num_tokens": 1560231.0,
+      "step": 855
+    },
+    {
+      "entropy": 6.589151382446289,
+      "epoch": 0.7125103562551781,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004295,
+      "loss": 6.5346,
+      "mean_token_accuracy": 0.10532297939062119,
+      "num_tokens": 1569578.0,
+      "step": 860
+    },
+    {
+      "entropy": 6.563750839233398,
+      "epoch": 0.7166528583264291,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000432,
+      "loss": 6.4187,
+      "mean_token_accuracy": 0.11381370946764946,
+      "num_tokens": 1579308.0,
+      "step": 865
+    },
+    {
+      "entropy": 6.597287034988403,
+      "epoch": 0.7207953603976802,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004345,
+      "loss": 6.6081,
+      "mean_token_accuracy": 0.10267190784215927,
+      "num_tokens": 1589506.0,
+      "step": 870
+    },
+    {
+      "entropy": 6.482245397567749,
+      "epoch": 0.7249378624689312,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000437,
+      "loss": 6.3671,
+      "mean_token_accuracy": 0.11368186473846435,
+      "num_tokens": 1598127.0,
+      "step": 875
+    },
+    {
+      "entropy": 6.548954200744629,
+      "epoch": 0.7290803645401823,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004395,
+      "loss": 6.4125,
+      "mean_token_accuracy": 0.11406067088246345,
+      "num_tokens": 1608073.0,
+      "step": 880
+    },
+    {
+      "entropy": 6.551317119598389,
+      "epoch": 0.7332228666114333,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000442,
+      "loss": 6.4304,
+      "mean_token_accuracy": 0.11178040653467178,
+      "num_tokens": 1616272.0,
+      "step": 885
+    },
+    {
+      "entropy": 6.496135663986206,
+      "epoch": 0.7373653686826843,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004445,
+      "loss": 6.447,
+      "mean_token_accuracy": 0.10845504105091094,
+      "num_tokens": 1625577.0,
+      "step": 890
+    },
+    {
+      "entropy": 6.685812950134277,
+      "epoch": 0.7415078707539354,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000447,
+      "loss": 6.533,
+      "mean_token_accuracy": 0.10158233270049095,
+      "num_tokens": 1634902.0,
+      "step": 895
+    },
+    {
+      "entropy": 6.520436191558838,
+      "epoch": 0.7456503728251864,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00044950000000000003,
+      "loss": 6.4674,
+      "mean_token_accuracy": 0.10865833014249801,
+      "num_tokens": 1644131.0,
+      "step": 900
+    },
+    {
+      "entropy": 6.461379718780518,
+      "epoch": 0.7497928748964374,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00045200000000000004,
+      "loss": 6.3694,
+      "mean_token_accuracy": 0.12158194407820702,
+      "num_tokens": 1652272.0,
+      "step": 905
+    },
+    {
+      "entropy": 6.533070278167725,
+      "epoch": 0.7539353769676885,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00045450000000000004,
+      "loss": 6.4632,
+      "mean_token_accuracy": 0.11447574123740197,
+      "num_tokens": 1660962.0,
+      "step": 910
+    },
+    {
+      "entropy": 6.475569725036621,
+      "epoch": 0.7580778790389395,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045700000000000005,
+      "loss": 6.4006,
+      "mean_token_accuracy": 0.11205699220299721,
+      "num_tokens": 1670570.0,
+      "step": 915
+    },
+    {
+      "entropy": 6.526782608032226,
+      "epoch": 0.7622203811101905,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00045950000000000006,
+      "loss": 6.4497,
+      "mean_token_accuracy": 0.1096197433769703,
+      "num_tokens": 1679674.0,
+      "step": 920
+    },
+    {
+      "entropy": 6.530770015716553,
+      "epoch": 0.7663628831814416,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000462,
+      "loss": 6.4324,
+      "mean_token_accuracy": 0.11466658413410187,
+      "num_tokens": 1688849.0,
+      "step": 925
+    },
+    {
+      "entropy": 6.4163538932800295,
+      "epoch": 0.7705053852526926,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004645,
+      "loss": 6.3128,
+      "mean_token_accuracy": 0.1098814107477665,
+      "num_tokens": 1698565.0,
+      "step": 930
+    },
+    {
+      "entropy": 6.5036052703857425,
+      "epoch": 0.7746478873239436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000467,
+      "loss": 6.3986,
+      "mean_token_accuracy": 0.11683695837855339,
+      "num_tokens": 1708009.0,
+      "step": 935
+    },
+    {
+      "entropy": 6.518198871612549,
+      "epoch": 0.7787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004695,
+      "loss": 6.3878,
+      "mean_token_accuracy": 0.1126109592616558,
+      "num_tokens": 1716497.0,
+      "step": 940
+    },
+    {
+      "entropy": 6.415347719192505,
+      "epoch": 0.7829328914664457,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000472,
+      "loss": 6.4082,
+      "mean_token_accuracy": 0.12070046439766884,
+      "num_tokens": 1725609.0,
+      "step": 945
+    },
+    {
+      "entropy": 6.477306175231933,
+      "epoch": 0.7870753935376967,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004745,
+      "loss": 6.3456,
+      "mean_token_accuracy": 0.11454906165599824,
+      "num_tokens": 1734165.0,
+      "step": 950
+    },
+    {
+      "entropy": 6.454520893096924,
+      "epoch": 0.7912178956089478,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000477,
+      "loss": 6.4546,
+      "mean_token_accuracy": 0.10918105840682983,
+      "num_tokens": 1744856.0,
+      "step": 955
+    },
+    {
+      "entropy": 6.4711943626403805,
+      "epoch": 0.7953603976801988,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004795,
+      "loss": 6.4509,
+      "mean_token_accuracy": 0.10578904524445534,
+      "num_tokens": 1753386.0,
+      "step": 960
+    },
+    {
+      "entropy": 6.4536961078643795,
+      "epoch": 0.7995028997514498,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000482,
+      "loss": 6.3053,
+      "mean_token_accuracy": 0.11872726455330848,
+      "num_tokens": 1762521.0,
+      "step": 965
+    },
+    {
+      "entropy": 6.34936490058899,
+      "epoch": 0.8036454018227009,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004845,
+      "loss": 6.3765,
+      "mean_token_accuracy": 0.11444728896021843,
+      "num_tokens": 1772403.0,
+      "step": 970
+    },
+    {
+      "entropy": 6.375087881088257,
+      "epoch": 0.8077879038939519,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000487,
+      "loss": 6.2884,
+      "mean_token_accuracy": 0.11179185584187508,
+      "num_tokens": 1780924.0,
+      "step": 975
+    },
+    {
+      "entropy": 6.547906732559204,
+      "epoch": 0.8119304059652029,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004895,
+      "loss": 6.4367,
+      "mean_token_accuracy": 0.11225800514221192,
+      "num_tokens": 1789992.0,
+      "step": 980
+    },
+    {
+      "entropy": 6.421040678024292,
+      "epoch": 0.816072908036454,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000492,
+      "loss": 6.3919,
+      "mean_token_accuracy": 0.11761699616909027,
+      "num_tokens": 1799513.0,
+      "step": 985
+    },
+    {
+      "entropy": 6.332476711273193,
+      "epoch": 0.820215410107705,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0004945,
+      "loss": 6.2287,
+      "mean_token_accuracy": 0.11279567033052444,
+      "num_tokens": 1807393.0,
+      "step": 990
+    },
+    {
+      "entropy": 6.438618326187134,
+      "epoch": 0.824357912178956,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000497,
+      "loss": 6.5079,
+      "mean_token_accuracy": 0.10579989776015282,
+      "num_tokens": 1817284.0,
+      "step": 995
+    },
+    {
+      "entropy": 6.449818515777588,
+      "epoch": 0.8285004142502072,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004995,
+      "loss": 6.2996,
+      "mean_token_accuracy": 0.11799877136945724,
+      "num_tokens": 1825591.0,
+      "step": 1000
+    },
+    {
+      "epoch": 0.8285004142502072,
+      "eval_entropy": 6.222835092402216,
+      "eval_loss": 6.475013256072998,
+      "eval_mean_token_accuracy": 0.11269166863866961,
+      "eval_num_tokens": 1825591.0,
+      "eval_runtime": 2.7611,
+      "eval_samples_per_second": 1357.068,
+      "eval_steps_per_second": 169.86,
+      "step": 1000
+    },
+    {
+      "entropy": 6.457831478118896,
+      "epoch": 0.8326429163214581,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0004999998547681232,
+      "loss": 6.3959,
+      "mean_token_accuracy": 0.11798396334052086,
+      "num_tokens": 1834655.0,
+      "step": 1005
+    },
+    {
+      "entropy": 6.26599349975586,
+      "epoch": 0.8367854183927091,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004999992647639447,
+      "loss": 6.2578,
+      "mean_token_accuracy": 0.11858200430870056,
+      "num_tokens": 1844187.0,
+      "step": 1010
+    },
+    {
+      "entropy": 6.415271520614624,
+      "epoch": 0.8409279204639603,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999982209116618,
+      "loss": 6.3345,
+      "mean_token_accuracy": 0.11406200677156449,
+      "num_tokens": 1852768.0,
+      "step": 1015
+    },
+    {
+      "entropy": 6.355557584762574,
+      "epoch": 0.8450704225352113,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004999967232133796,
+      "loss": 6.3913,
+      "mean_token_accuracy": 0.12348653748631477,
+      "num_tokens": 1862095.0,
+      "step": 1020
+    },
+    {
+      "entropy": 6.427043008804321,
+      "epoch": 0.8492129246064622,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004999947716721196,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.10961534604430198,
+      "num_tokens": 1871239.0,
+      "step": 1025
+    },
+    {
+      "entropy": 6.509608554840088,
+      "epoch": 0.8533554266777134,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004999923662918179,
+      "loss": 6.4323,
+      "mean_token_accuracy": 0.11334251016378402,
+      "num_tokens": 1880065.0,
+      "step": 1030
+    },
+    {
+      "entropy": 6.417975521087646,
+      "epoch": 0.8574979287489644,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999895070773266,
+      "loss": 6.4608,
+      "mean_token_accuracy": 0.10985229611396789,
+      "num_tokens": 1889065.0,
+      "step": 1035
+    },
+    {
+      "entropy": 6.429206514358521,
+      "epoch": 0.8616404308202155,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999861940344129,
+      "loss": 6.4721,
+      "mean_token_accuracy": 0.11190373301506043,
+      "num_tokens": 1898238.0,
+      "step": 1040
+    },
+    {
+      "entropy": 6.462369585037232,
+      "epoch": 0.8657829328914665,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004999824271697597,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.12136606723070145,
+      "num_tokens": 1906780.0,
+      "step": 1045
+    },
+    {
+      "entropy": 6.506088638305664,
+      "epoch": 0.8699254349627175,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000499978206490965,
+      "loss": 6.4745,
+      "mean_token_accuracy": 0.11197563111782075,
+      "num_tokens": 1916183.0,
+      "step": 1050
+    },
+    {
+      "entropy": 6.427097368240356,
+      "epoch": 0.8740679370339686,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999735320065427,
+      "loss": 6.3371,
+      "mean_token_accuracy": 0.11927392706274986,
+      "num_tokens": 1925382.0,
+      "step": 1055
+    },
+    {
+      "entropy": 6.292429256439209,
+      "epoch": 0.8782104391052196,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999684037259216,
+      "loss": 6.1827,
+      "mean_token_accuracy": 0.1270924136042595,
+      "num_tokens": 1933639.0,
+      "step": 1060
+    },
+    {
+      "entropy": 6.3600146770477295,
+      "epoch": 0.8823529411764706,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999628216594456,
+      "loss": 6.464,
+      "mean_token_accuracy": 0.11409285366535186,
+      "num_tokens": 1943044.0,
+      "step": 1065
+    },
+    {
+      "entropy": 6.460871028900146,
+      "epoch": 0.8864954432477217,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000499956785818375,
+      "loss": 6.303,
+      "mean_token_accuracy": 0.11871922463178634,
+      "num_tokens": 1951777.0,
+      "step": 1070
+    },
+    {
+      "entropy": 6.376981210708618,
+      "epoch": 0.8906379453189727,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004999502962148843,
+      "loss": 6.3666,
+      "mean_token_accuracy": 0.1170460693538189,
+      "num_tokens": 1961356.0,
+      "step": 1075
+    },
+    {
+      "entropy": 6.439280414581299,
+      "epoch": 0.8947804473902237,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000499943352862064,
+      "loss": 6.4248,
+      "mean_token_accuracy": 0.11459407210350037,
+      "num_tokens": 1970341.0,
+      "step": 1080
+    },
+    {
+      "entropy": 6.394289827346801,
+      "epoch": 0.8989229494614748,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004999359557739194,
+      "loss": 6.2796,
+      "mean_token_accuracy": 0.12198276743292809,
+      "num_tokens": 1978576.0,
+      "step": 1085
+    },
+    {
+      "entropy": 6.319045782089233,
+      "epoch": 0.9030654515327258,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004999281049653713,
+      "loss": 6.3227,
+      "mean_token_accuracy": 0.11601013913750649,
+      "num_tokens": 1987229.0,
+      "step": 1090
+    },
+    {
+      "entropy": 6.376017141342163,
+      "epoch": 0.9072079536039768,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999198004522557,
+      "loss": 6.261,
+      "mean_token_accuracy": 0.12269015237689018,
+      "num_tokens": 1996473.0,
+      "step": 1095
+    },
+    {
+      "entropy": 6.2405853271484375,
+      "epoch": 0.9113504556752279,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999110422513237,
+      "loss": 6.286,
+      "mean_token_accuracy": 0.12056776732206345,
+      "num_tokens": 2005551.0,
+      "step": 1100
+    },
+    {
+      "entropy": 6.398191165924072,
+      "epoch": 0.9154929577464789,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999018303802414,
+      "loss": 6.3869,
+      "mean_token_accuracy": 0.11947718560695648,
+      "num_tokens": 2015012.0,
+      "step": 1105
+    },
+    {
+      "entropy": 6.374700450897217,
+      "epoch": 0.9196354598177299,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004998921648575904,
+      "loss": 6.3999,
+      "mean_token_accuracy": 0.1203969657421112,
+      "num_tokens": 2024435.0,
+      "step": 1110
+    },
+    {
+      "entropy": 6.380674362182617,
+      "epoch": 0.923777961888981,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004998820457028669,
+      "loss": 6.3005,
+      "mean_token_accuracy": 0.12089794874191284,
+      "num_tokens": 2033991.0,
+      "step": 1115
+    },
+    {
+      "entropy": 6.409522771835327,
+      "epoch": 0.927920463960232,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998714729364824,
+      "loss": 6.3017,
+      "mean_token_accuracy": 0.1228084571659565,
+      "num_tokens": 2043117.0,
+      "step": 1120
+    },
+    {
+      "entropy": 6.326260423660278,
+      "epoch": 0.932062966031483,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004998604465797634,
+      "loss": 6.3305,
+      "mean_token_accuracy": 0.11992078274488449,
+      "num_tokens": 2052304.0,
+      "step": 1125
+    },
+    {
+      "entropy": 6.251798295974732,
+      "epoch": 0.9362054681027341,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998489666549512,
+      "loss": 6.2779,
+      "mean_token_accuracy": 0.12114684730768203,
+      "num_tokens": 2061217.0,
+      "step": 1130
+    },
+    {
+      "entropy": 6.319644594192505,
+      "epoch": 0.9403479701739851,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.0004998370331852021,
+      "loss": 6.2517,
+      "mean_token_accuracy": 0.11879112273454666,
+      "num_tokens": 2070796.0,
+      "step": 1135
+    },
+    {
+      "entropy": 6.465651321411133,
+      "epoch": 0.9444904722452361,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004998246461945872,
+      "loss": 6.4037,
+      "mean_token_accuracy": 0.12191760018467904,
+      "num_tokens": 2080202.0,
+      "step": 1140
+    },
+    {
+      "entropy": 6.320812797546386,
+      "epoch": 0.9486329743164872,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004998118057080923,
+      "loss": 6.3045,
+      "mean_token_accuracy": 0.11891168132424354,
+      "num_tokens": 2089788.0,
+      "step": 1145
+    },
+    {
+      "entropy": 6.301202344894409,
+      "epoch": 0.9527754763877382,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004997985117516183,
+      "loss": 6.3462,
+      "mean_token_accuracy": 0.11142431199550629,
+      "num_tokens": 2098727.0,
+      "step": 1150
+    },
+    {
+      "entropy": 6.344118309020996,
+      "epoch": 0.9569179784589892,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997847643519803,
+      "loss": 6.226,
+      "mean_token_accuracy": 0.11924557387828827,
+      "num_tokens": 2107645.0,
+      "step": 1155
+    },
+    {
+      "entropy": 6.1790977954864506,
+      "epoch": 0.9610604805302403,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997705635369085,
+      "loss": 6.1991,
+      "mean_token_accuracy": 0.11988648250699044,
+      "num_tokens": 2116613.0,
+      "step": 1160
+    },
+    {
+      "entropy": 6.284418439865112,
+      "epoch": 0.9652029826014913,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004997559093350474,
+      "loss": 6.1881,
+      "mean_token_accuracy": 0.12116428092122078,
+      "num_tokens": 2125585.0,
+      "step": 1165
+    },
+    {
+      "entropy": 6.396596622467041,
+      "epoch": 0.9693454846727423,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004997408017759562,
+      "loss": 6.3359,
+      "mean_token_accuracy": 0.11936862170696258,
+      "num_tokens": 2134795.0,
+      "step": 1170
+    },
+    {
+      "entropy": 6.273751878738404,
+      "epoch": 0.9734879867439934,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004997252408901084,
+      "loss": 6.3271,
+      "mean_token_accuracy": 0.11899949684739113,
+      "num_tokens": 2143699.0,
+      "step": 1175
+    },
+    {
+      "entropy": 6.386678028106689,
+      "epoch": 0.9776304888152444,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004997092267088922,
+      "loss": 6.2707,
+      "mean_token_accuracy": 0.11861606612801552,
+      "num_tokens": 2152187.0,
+      "step": 1180
+    },
+    {
+      "entropy": 6.275117111206055,
+      "epoch": 0.9817729908864954,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004996927592646097,
+      "loss": 6.3412,
+      "mean_token_accuracy": 0.11767763197422028,
+      "num_tokens": 2160941.0,
+      "step": 1185
+    },
+    {
+      "entropy": 6.339710283279419,
+      "epoch": 0.9859154929577465,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004996758385904776,
+      "loss": 6.3119,
+      "mean_token_accuracy": 0.11789651140570641,
+      "num_tokens": 2168946.0,
+      "step": 1190
+    },
+    {
+      "entropy": 6.181374216079712,
+      "epoch": 0.9900579950289975,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004996584647206269,
+      "loss": 6.2237,
+      "mean_token_accuracy": 0.12055367529392243,
+      "num_tokens": 2177662.0,
+      "step": 1195
+    },
+    {
+      "entropy": 6.316773986816406,
+      "epoch": 0.9942004971002486,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004996406376901026,
+      "loss": 6.3268,
+      "mean_token_accuracy": 0.12757316455245019,
+      "num_tokens": 2187461.0,
+      "step": 1200
+    },
+    {
+      "entropy": 6.283385133743286,
+      "epoch": 0.9983429991714996,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004996223575348635,
+      "loss": 6.2207,
+      "mean_token_accuracy": 0.12578138560056687,
+      "num_tokens": 2196878.0,
+      "step": 1205
+    },
+    {
+      "entropy": 6.311019659042358,
+      "epoch": 1.0024855012427507,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004996036242917828,
+      "loss": 6.2021,
+      "mean_token_accuracy": 0.1151522897183895,
+      "num_tokens": 2206178.0,
+      "step": 1210
+    },
+    {
+      "entropy": 6.25421667098999,
+      "epoch": 1.0066280033140016,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004995844379986476,
+      "loss": 6.0526,
+      "mean_token_accuracy": 0.12476176023483276,
+      "num_tokens": 2215330.0,
+      "step": 1215
+    },
+    {
+      "entropy": 6.309921216964722,
+      "epoch": 1.0107705053852527,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004995647986941587,
+      "loss": 6.0354,
+      "mean_token_accuracy": 0.13005029112100602,
+      "num_tokens": 2224146.0,
+      "step": 1220
+    },
+    {
+      "entropy": 6.241363286972046,
+      "epoch": 1.0149130074565038,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004995447064179308,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13421598002314566,
+      "num_tokens": 2233646.0,
+      "step": 1225
+    },
+    {
+      "entropy": 6.058859920501709,
+      "epoch": 1.0190555095277547,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.000499524161210492,
+      "loss": 5.9379,
+      "mean_token_accuracy": 0.12560308948159218,
+      "num_tokens": 2243663.0,
+      "step": 1230
+    },
+    {
+      "entropy": 6.270004224777222,
+      "epoch": 1.0231980115990058,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004995031631132844,
+      "loss": 6.1035,
+      "mean_token_accuracy": 0.13170127123594283,
+      "num_tokens": 2252564.0,
+      "step": 1235
+    },
+    {
+      "entropy": 6.2710247993469235,
+      "epoch": 1.027340513670257,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004994817121686633,
+      "loss": 6.099,
+      "mean_token_accuracy": 0.12465815395116805,
+      "num_tokens": 2262504.0,
+      "step": 1240
+    },
+    {
+      "entropy": 6.193396997451782,
+      "epoch": 1.0314830157415078,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004994598084198979,
+      "loss": 5.9843,
+      "mean_token_accuracy": 0.1374910719692707,
+      "num_tokens": 2270553.0,
+      "step": 1245
+    },
+    {
+      "entropy": 6.136552810668945,
+      "epoch": 1.035625517812759,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004994374519111701,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.1272726461291313,
+      "num_tokens": 2279319.0,
+      "step": 1250
+    },
+    {
+      "entropy": 6.217378282546997,
+      "epoch": 1.03976801988401,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004994146426875757,
+      "loss": 6.123,
+      "mean_token_accuracy": 0.126935476064682,
+      "num_tokens": 2288749.0,
+      "step": 1255
+    },
+    {
+      "entropy": 6.218695068359375,
+      "epoch": 1.043910521955261,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004993913807951232,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.12562426924705505,
+      "num_tokens": 2298272.0,
+      "step": 1260
+    },
+    {
+      "entropy": 6.221994352340698,
+      "epoch": 1.048053024026512,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004993676662807345,
+      "loss": 6.047,
+      "mean_token_accuracy": 0.12884460240602494,
+      "num_tokens": 2307230.0,
+      "step": 1265
+    },
+    {
+      "entropy": 6.183428144454956,
+      "epoch": 1.0521955260977631,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004993434991922443,
+      "loss": 6.1317,
+      "mean_token_accuracy": 0.12460145726799965,
+      "num_tokens": 2316306.0,
+      "step": 1270
+    },
+    {
+      "entropy": 6.22090425491333,
+      "epoch": 1.056338028169014,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004993188795784002,
+      "loss": 6.0531,
+      "mean_token_accuracy": 0.1241947129368782,
+      "num_tokens": 2325672.0,
+      "step": 1275
+    },
+    {
+      "entropy": 6.1453857421875,
+      "epoch": 1.0604805302402651,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004992938074888628,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.1274007849395275,
+      "num_tokens": 2335251.0,
+      "step": 1280
+    },
+    {
+      "entropy": 6.180039167404175,
+      "epoch": 1.0646230323115162,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004992682829742052,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.1308726042509079,
+      "num_tokens": 2344054.0,
+      "step": 1285
+    },
+    {
+      "entropy": 6.086296463012696,
+      "epoch": 1.0687655343827671,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004992423060859132,
+      "loss": 6.0236,
+      "mean_token_accuracy": 0.127706591039896,
+      "num_tokens": 2353493.0,
+      "step": 1290
+    },
+    {
+      "entropy": 6.223158740997315,
+      "epoch": 1.0729080364540182,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004992158768763849,
+      "loss": 6.1321,
+      "mean_token_accuracy": 0.12850543335080147,
+      "num_tokens": 2362687.0,
+      "step": 1295
+    },
+    {
+      "entropy": 6.2506636619567875,
+      "epoch": 1.0770505385252693,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004991889953989308,
+      "loss": 6.0965,
+      "mean_token_accuracy": 0.12563316524028778,
+      "num_tokens": 2372325.0,
+      "step": 1300
+    },
+    {
+      "entropy": 6.173602199554443,
+      "epoch": 1.0811930405965202,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004991616617077741,
+      "loss": 6.12,
+      "mean_token_accuracy": 0.1287991665303707,
+      "num_tokens": 2381987.0,
+      "step": 1305
+    },
+    {
+      "entropy": 6.307486963272095,
+      "epoch": 1.0853355426677713,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004991338758580496,
+      "loss": 6.0234,
+      "mean_token_accuracy": 0.13178783878684044,
+      "num_tokens": 2390901.0,
+      "step": 1310
+    },
+    {
+      "entropy": 6.034789133071899,
+      "epoch": 1.0894780447390224,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004991056379058045,
+      "loss": 6.0813,
+      "mean_token_accuracy": 0.12450421676039695,
+      "num_tokens": 2400756.0,
+      "step": 1315
+    },
+    {
+      "entropy": 6.188017988204956,
+      "epoch": 1.0936205468102733,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004990769479079976,
+      "loss": 5.9232,
+      "mean_token_accuracy": 0.12984196096658707,
+      "num_tokens": 2409526.0,
+      "step": 1320
+    },
+    {
+      "entropy": 6.086554956436157,
+      "epoch": 1.0977630488815244,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004990478059225003,
+      "loss": 6.0931,
+      "mean_token_accuracy": 0.12972966134548186,
+      "num_tokens": 2419583.0,
+      "step": 1325
+    },
+    {
+      "entropy": 6.2457873821258545,
+      "epoch": 1.1019055509527755,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004990182120080945,
+      "loss": 6.0338,
+      "mean_token_accuracy": 0.12990806251764297,
+      "num_tokens": 2429439.0,
+      "step": 1330
+    },
+    {
+      "entropy": 6.078778219223023,
+      "epoch": 1.1060480530240264,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004989881662244748,
+      "loss": 6.0416,
+      "mean_token_accuracy": 0.12380676046013832,
+      "num_tokens": 2438467.0,
+      "step": 1335
+    },
+    {
+      "entropy": 6.138932418823242,
+      "epoch": 1.1101905550952775,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004989576686322468,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.1332716926932335,
+      "num_tokens": 2446619.0,
+      "step": 1340
+    },
+    {
+      "entropy": 6.1281578540802,
+      "epoch": 1.1143330571665286,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004989267192929272,
+      "loss": 6.0379,
+      "mean_token_accuracy": 0.12955363765358924,
+      "num_tokens": 2454998.0,
+      "step": 1345
+    },
+    {
+      "entropy": 6.09554443359375,
+      "epoch": 1.1184755592377795,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004988953182689445,
+      "loss": 6.0072,
+      "mean_token_accuracy": 0.13532012328505516,
+      "num_tokens": 2463497.0,
+      "step": 1350
+    },
+    {
+      "entropy": 6.134703922271728,
+      "epoch": 1.1226180613090306,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004988634656236378,
+      "loss": 5.9216,
+      "mean_token_accuracy": 0.13609320148825646,
+      "num_tokens": 2471763.0,
+      "step": 1355
+    },
+    {
+      "entropy": 6.145527791976929,
+      "epoch": 1.1267605633802817,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004988311614212576,
+      "loss": 6.0016,
+      "mean_token_accuracy": 0.1402701161801815,
+      "num_tokens": 2479949.0,
+      "step": 1360
+    },
+    {
+      "entropy": 6.116470623016357,
+      "epoch": 1.1309030654515326,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004987984057269648,
+      "loss": 6.0539,
+      "mean_token_accuracy": 0.13444141745567323,
+      "num_tokens": 2489097.0,
+      "step": 1365
+    },
+    {
+      "entropy": 5.972180604934692,
+      "epoch": 1.1350455675227837,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004987651986068311,
+      "loss": 5.8781,
+      "mean_token_accuracy": 0.13601028621196748,
+      "num_tokens": 2497625.0,
+      "step": 1370
+    },
+    {
+      "entropy": 6.143597984313965,
+      "epoch": 1.1391880695940348,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004987315401278394,
+      "loss": 6.1252,
+      "mean_token_accuracy": 0.1272761717438698,
+      "num_tokens": 2507107.0,
+      "step": 1375
+    },
+    {
+      "entropy": 6.286170959472656,
+      "epoch": 1.143330571665286,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004986974303578819,
+      "loss": 6.1408,
+      "mean_token_accuracy": 0.12348597794771195,
+      "num_tokens": 2516629.0,
+      "step": 1380
+    },
+    {
+      "entropy": 6.077923250198364,
+      "epoch": 1.1474730737365368,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004986628693657621,
+      "loss": 6.021,
+      "mean_token_accuracy": 0.1280151717364788,
+      "num_tokens": 2525924.0,
+      "step": 1385
+    },
+    {
+      "entropy": 6.229060649871826,
+      "epoch": 1.151615575807788,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004986278572211933,
+      "loss": 6.1723,
+      "mean_token_accuracy": 0.1280426375567913,
+      "num_tokens": 2535586.0,
+      "step": 1390
+    },
+    {
+      "entropy": 6.189875984191895,
+      "epoch": 1.1557580778790388,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004985923939947987,
+      "loss": 6.2595,
+      "mean_token_accuracy": 0.1247698113322258,
+      "num_tokens": 2546685.0,
+      "step": 1395
+    },
+    {
+      "entropy": 6.148470640182495,
+      "epoch": 1.15990057995029,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004985564797581115,
+      "loss": 5.9681,
+      "mean_token_accuracy": 0.12971177995204924,
+      "num_tokens": 2556873.0,
+      "step": 1400
+    },
+    {
+      "entropy": 6.143459701538086,
+      "epoch": 1.164043082021541,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004985201145835747,
+      "loss": 5.9836,
+      "mean_token_accuracy": 0.13127154856920242,
+      "num_tokens": 2565222.0,
+      "step": 1405
+    },
+    {
+      "entropy": 6.031957960128784,
+      "epoch": 1.1681855840927922,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.000498483298544541,
+      "loss": 5.9875,
+      "mean_token_accuracy": 0.13211632743477822,
+      "num_tokens": 2575467.0,
+      "step": 1410
+    },
+    {
+      "entropy": 6.136318731307983,
+      "epoch": 1.172328086164043,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000498446031715272,
+      "loss": 6.0125,
+      "mean_token_accuracy": 0.13508019223809242,
+      "num_tokens": 2583963.0,
+      "step": 1415
+    },
+    {
+      "entropy": 6.133963680267334,
+      "epoch": 1.1764705882352942,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004984083141709391,
+      "loss": 6.042,
+      "mean_token_accuracy": 0.13524071872234344,
+      "num_tokens": 2593350.0,
+      "step": 1420
+    },
+    {
+      "entropy": 5.975436115264893,
+      "epoch": 1.180613090306545,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000498370145987623,
+      "loss": 5.9652,
+      "mean_token_accuracy": 0.13682079091668128,
+      "num_tokens": 2602191.0,
+      "step": 1425
+    },
+    {
+      "entropy": 6.170718050003051,
+      "epoch": 1.1847555923777962,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004983315272423127,
+      "loss": 6.0999,
+      "mean_token_accuracy": 0.1291058838367462,
+      "num_tokens": 2613590.0,
+      "step": 1430
+    },
+    {
+      "entropy": 6.049332237243652,
+      "epoch": 1.1888980944490473,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004982924580129066,
+      "loss": 5.8895,
+      "mean_token_accuracy": 0.1340464949607849,
+      "num_tokens": 2622072.0,
+      "step": 1435
+    },
+    {
+      "entropy": 6.093293142318726,
+      "epoch": 1.1930405965202984,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004982529383782116,
+      "loss": 6.1012,
+      "mean_token_accuracy": 0.13022035285830497,
+      "num_tokens": 2630904.0,
+      "step": 1440
+    },
+    {
+      "entropy": 6.189996242523193,
+      "epoch": 1.1971830985915493,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004982129684179432,
+      "loss": 6.0594,
+      "mean_token_accuracy": 0.13088259026408194,
+      "num_tokens": 2639925.0,
+      "step": 1445
+    },
+    {
+      "entropy": 6.1187131881713865,
+      "epoch": 1.2013256006628004,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004981725482127251,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.13439981341362,
+      "num_tokens": 2649397.0,
+      "step": 1450
+    },
+    {
+      "entropy": 6.16315655708313,
+      "epoch": 1.2054681027340513,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004981316778440892,
+      "loss": 6.081,
+      "mean_token_accuracy": 0.13515593931078912,
+      "num_tokens": 2658877.0,
+      "step": 1455
+    },
+    {
+      "entropy": 6.063838720321655,
+      "epoch": 1.2096106048053024,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004980903573944756,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13121431767940522,
+      "num_tokens": 2668518.0,
+      "step": 1460
+    },
+    {
+      "entropy": 6.059180212020874,
+      "epoch": 1.2137531068765535,
+      "grad_norm": 1.0078125,
+      "learning_rate": 0.0004980485869472322,
+      "loss": 6.1148,
+      "mean_token_accuracy": 0.12996160089969636,
+      "num_tokens": 2677459.0,
+      "step": 1465
+    },
+    {
+      "entropy": 6.223527908325195,
+      "epoch": 1.2178956089478046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004980063665866143,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12482839822769165,
+      "num_tokens": 2686668.0,
+      "step": 1470
+    },
+    {
+      "entropy": 5.935272264480591,
+      "epoch": 1.2220381110190555,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004979636963977853,
+      "loss": 5.8825,
+      "mean_token_accuracy": 0.1352998949587345,
+      "num_tokens": 2695545.0,
+      "step": 1475
+    },
+    {
+      "entropy": 6.066101598739624,
+      "epoch": 1.2261806130903066,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004979205764668156,
+      "loss": 6.0569,
+      "mean_token_accuracy": 0.13228241056203843,
+      "num_tokens": 2705514.0,
+      "step": 1480
+    },
+    {
+      "entropy": 6.138315343856812,
+      "epoch": 1.2303231151615575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004978770068806825,
+      "loss": 5.9599,
+      "mean_token_accuracy": 0.13136665150523186,
+      "num_tokens": 2714373.0,
+      "step": 1485
+    },
+    {
+      "entropy": 6.061770391464234,
+      "epoch": 1.2344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.000497832987727271,
+      "loss": 6.0715,
+      "mean_token_accuracy": 0.1264137916266918,
+      "num_tokens": 2723887.0,
+      "step": 1490
+    },
+    {
+      "entropy": 6.061756038665772,
+      "epoch": 1.2386081193040597,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004977885190953724,
+      "loss": 5.956,
+      "mean_token_accuracy": 0.13353569880127908,
+      "num_tokens": 2733591.0,
+      "step": 1495
+    },
+    {
+      "entropy": 6.104292392730713,
+      "epoch": 1.2427506213753108,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004977436010746846,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.13720986992120743,
+      "num_tokens": 2741638.0,
+      "step": 1500
+    },
+    {
+      "epoch": 1.2427506213753108,
+      "eval_entropy": 6.029743814773397,
+      "eval_loss": 6.2611613273620605,
+      "eval_mean_token_accuracy": 0.12890694399219332,
+      "eval_num_tokens": 2741638.0,
+      "eval_runtime": 2.9518,
+      "eval_samples_per_second": 1269.399,
+      "eval_steps_per_second": 158.887,
+      "step": 1500
+    },
+    {
+      "entropy": 6.078821802139283,
+      "epoch": 1.2468931234465617,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004976982337558124,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13084649220108985,
+      "num_tokens": 2749711.0,
+      "step": 1505
+    },
+    {
+      "entropy": 6.094208097457885,
+      "epoch": 1.2510356255178128,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004976524172302665,
+      "loss": 6.121,
+      "mean_token_accuracy": 0.13192041367292404,
+      "num_tokens": 2758121.0,
+      "step": 1510
+    },
+    {
+      "entropy": 6.159745693206787,
+      "epoch": 1.2551781275890637,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004976061515904641,
+      "loss": 6.1181,
+      "mean_token_accuracy": 0.12667254582047463,
+      "num_tokens": 2766764.0,
+      "step": 1515
+    },
+    {
+      "entropy": 6.116680526733399,
+      "epoch": 1.2593206296603148,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004975594369297277,
+      "loss": 6.0557,
+      "mean_token_accuracy": 0.1348518520593643,
+      "num_tokens": 2775561.0,
+      "step": 1520
+    },
+    {
+      "entropy": 6.08063235282898,
+      "epoch": 1.2634631317315659,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004975122733422861,
+      "loss": 6.0201,
+      "mean_token_accuracy": 0.13085112273693084,
+      "num_tokens": 2784691.0,
+      "step": 1525
+    },
+    {
+      "entropy": 6.129113435745239,
+      "epoch": 1.267605633802817,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004974646609232732,
+      "loss": 5.9816,
+      "mean_token_accuracy": 0.13641836866736412,
+      "num_tokens": 2793893.0,
+      "step": 1530
+    },
+    {
+      "entropy": 6.108260202407837,
+      "epoch": 1.2717481358740679,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004974165997687288,
+      "loss": 6.0751,
+      "mean_token_accuracy": 0.13353196606040002,
+      "num_tokens": 2804479.0,
+      "step": 1535
+    },
+    {
+      "entropy": 6.16022138595581,
+      "epoch": 1.275890637945319,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004973680899755972,
+      "loss": 6.107,
+      "mean_token_accuracy": 0.1326654002070427,
+      "num_tokens": 2813966.0,
+      "step": 1540
+    },
+    {
+      "entropy": 6.007886743545532,
+      "epoch": 1.2800331400165699,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000497319131641728,
+      "loss": 5.9326,
+      "mean_token_accuracy": 0.13846119418740271,
+      "num_tokens": 2822328.0,
+      "step": 1545
+    },
+    {
+      "entropy": 6.003260755538941,
+      "epoch": 1.284175642087821,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004972697248658755,
+      "loss": 5.8899,
+      "mean_token_accuracy": 0.14066707715392113,
+      "num_tokens": 2829845.0,
+      "step": 1550
+    },
+    {
+      "entropy": 5.948832178115845,
+      "epoch": 1.288318144159072,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004972198697476987,
+      "loss": 5.8783,
+      "mean_token_accuracy": 0.13914238885045052,
+      "num_tokens": 2839040.0,
+      "step": 1555
+    },
+    {
+      "entropy": 5.961882209777832,
+      "epoch": 1.2924606462303232,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004971695663877607,
+      "loss": 5.9665,
+      "mean_token_accuracy": 0.13561231270432472,
+      "num_tokens": 2848574.0,
+      "step": 1560
+    },
+    {
+      "entropy": 6.077086877822876,
+      "epoch": 1.296603148301574,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004971188148875289,
+      "loss": 5.9421,
+      "mean_token_accuracy": 0.14444561377167703,
+      "num_tokens": 2856812.0,
+      "step": 1565
+    },
+    {
+      "entropy": 6.051652336120606,
+      "epoch": 1.3007456503728252,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004970676153493748,
+      "loss": 6.0283,
+      "mean_token_accuracy": 0.13189572617411613,
+      "num_tokens": 2866001.0,
+      "step": 1570
+    },
+    {
+      "entropy": 6.1068840503692625,
+      "epoch": 1.3048881524440763,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004970159678765731,
+      "loss": 6.0164,
+      "mean_token_accuracy": 0.13239546120166779,
+      "num_tokens": 2875181.0,
+      "step": 1575
+    },
+    {
+      "entropy": 6.049808597564697,
+      "epoch": 1.3090306545153272,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004969638725733028,
+      "loss": 5.9587,
+      "mean_token_accuracy": 0.13397156223654746,
+      "num_tokens": 2885103.0,
+      "step": 1580
+    },
+    {
+      "entropy": 5.92131872177124,
+      "epoch": 1.3131731565865783,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004969113295446455,
+      "loss": 5.9116,
+      "mean_token_accuracy": 0.1383065924048424,
+      "num_tokens": 2894055.0,
+      "step": 1585
+    },
+    {
+      "entropy": 6.116864538192749,
+      "epoch": 1.3173156586578294,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004968583388965863,
+      "loss": 5.9846,
+      "mean_token_accuracy": 0.133075200766325,
+      "num_tokens": 2903391.0,
+      "step": 1590
+    },
+    {
+      "entropy": 6.006745624542236,
+      "epoch": 1.3214581607290803,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004968049007360132,
+      "loss": 5.9854,
+      "mean_token_accuracy": 0.13297903537750244,
+      "num_tokens": 2911760.0,
+      "step": 1595
+    },
+    {
+      "entropy": 5.926331329345703,
+      "epoch": 1.3256006628003314,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004967510151707169,
+      "loss": 5.9369,
+      "mean_token_accuracy": 0.13469143435359002,
+      "num_tokens": 2920589.0,
+      "step": 1600
+    },
+    {
+      "entropy": 6.15295524597168,
+      "epoch": 1.3297431648715825,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004966966823093903,
+      "loss": 6.0746,
+      "mean_token_accuracy": 0.1302391268312931,
+      "num_tokens": 2929635.0,
+      "step": 1605
+    },
+    {
+      "entropy": 5.986531114578247,
+      "epoch": 1.3338856669428334,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004966419022616287,
+      "loss": 5.9349,
+      "mean_token_accuracy": 0.13593596145510672,
+      "num_tokens": 2938778.0,
+      "step": 1610
+    },
+    {
+      "entropy": 6.039755535125733,
+      "epoch": 1.3380281690140845,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004965866751379296,
+      "loss": 6.0503,
+      "mean_token_accuracy": 0.13109695687890052,
+      "num_tokens": 2947836.0,
+      "step": 1615
+    },
+    {
+      "entropy": 6.133180904388428,
+      "epoch": 1.3421706710853356,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004965310010496922,
+      "loss": 6.0032,
+      "mean_token_accuracy": 0.1280514419078827,
+      "num_tokens": 2957028.0,
+      "step": 1620
+    },
+    {
+      "entropy": 6.026159048080444,
+      "epoch": 1.3463131731565865,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004964748801092168,
+      "loss": 5.9571,
+      "mean_token_accuracy": 0.1338861681520939,
+      "num_tokens": 2966088.0,
+      "step": 1625
+    },
+    {
+      "entropy": 6.078959226608276,
+      "epoch": 1.3504556752278376,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004964183124297059,
+      "loss": 6.0438,
+      "mean_token_accuracy": 0.13178688064217567,
+      "num_tokens": 2975271.0,
+      "step": 1630
+    },
+    {
+      "entropy": 5.992210865020752,
+      "epoch": 1.3545981772990887,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004963612981252625,
+      "loss": 6.0524,
+      "mean_token_accuracy": 0.1321226365864277,
+      "num_tokens": 2983799.0,
+      "step": 1635
+    },
+    {
+      "entropy": 6.056794929504394,
+      "epoch": 1.3587406793703396,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004963038373108908,
+      "loss": 6.0179,
+      "mean_token_accuracy": 0.13609340488910676,
+      "num_tokens": 2992675.0,
+      "step": 1640
+    },
+    {
+      "entropy": 6.155933427810669,
+      "epoch": 1.3628831814415907,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004962459301024954,
+      "loss": 6.0838,
+      "mean_token_accuracy": 0.13211635649204254,
+      "num_tokens": 3002483.0,
+      "step": 1645
+    },
+    {
+      "entropy": 6.027872896194458,
+      "epoch": 1.3670256835128418,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004961875766168816,
+      "loss": 5.985,
+      "mean_token_accuracy": 0.13883458971977233,
+      "num_tokens": 3010611.0,
+      "step": 1650
+    },
+    {
+      "entropy": 6.057289028167725,
+      "epoch": 1.371168185584093,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004961287769717547,
+      "loss": 5.9397,
+      "mean_token_accuracy": 0.13197456523776055,
+      "num_tokens": 3019928.0,
+      "step": 1655
+    },
+    {
+      "entropy": 5.9325989246368405,
+      "epoch": 1.3753106876553438,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004960695312857199,
+      "loss": 5.9279,
+      "mean_token_accuracy": 0.13408055454492568,
+      "num_tokens": 3029003.0,
+      "step": 1660
+    },
+    {
+      "entropy": 6.0389604568481445,
+      "epoch": 1.379453189726595,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004960098396782824,
+      "loss": 5.9464,
+      "mean_token_accuracy": 0.1375861033797264,
+      "num_tokens": 3038049.0,
+      "step": 1665
+    },
+    {
+      "entropy": 5.969662141799927,
+      "epoch": 1.3835956917978458,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004959497022698466,
+      "loss": 5.9515,
+      "mean_token_accuracy": 0.14408120438456534,
+      "num_tokens": 3046674.0,
+      "step": 1670
+    },
+    {
+      "entropy": 6.0561059474945065,
+      "epoch": 1.387738193869097,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004958891191817163,
+      "loss": 5.9927,
+      "mean_token_accuracy": 0.12801324650645257,
+      "num_tokens": 3056459.0,
+      "step": 1675
+    },
+    {
+      "entropy": 6.032327270507812,
+      "epoch": 1.391880695940348,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000495828090536094,
+      "loss": 5.9845,
+      "mean_token_accuracy": 0.13036760538816453,
+      "num_tokens": 3066294.0,
+      "step": 1680
+    },
+    {
+      "entropy": 6.0512574195861815,
+      "epoch": 1.3960231980115991,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004957666164560815,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13139644563198088,
+      "num_tokens": 3075420.0,
+      "step": 1685
+    },
+    {
+      "entropy": 6.063203239440918,
+      "epoch": 1.40016570008285,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004957046970656784,
+      "loss": 6.0385,
+      "mean_token_accuracy": 0.13581736162304878,
+      "num_tokens": 3084373.0,
+      "step": 1690
+    },
+    {
+      "entropy": 6.00097541809082,
+      "epoch": 1.4043082021541011,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004956423324897831,
+      "loss": 6.0257,
+      "mean_token_accuracy": 0.13937310948967935,
+      "num_tokens": 3094212.0,
+      "step": 1695
+    },
+    {
+      "entropy": 6.043115425109863,
+      "epoch": 1.408450704225352,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004955795228541917,
+      "loss": 5.9589,
+      "mean_token_accuracy": 0.14452596232295037,
+      "num_tokens": 3102769.0,
+      "step": 1700
+    },
+    {
+      "entropy": 6.040110731124878,
+      "epoch": 1.4125932062966031,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000495516268285598,
+      "loss": 5.9805,
+      "mean_token_accuracy": 0.13440805301070213,
+      "num_tokens": 3111465.0,
+      "step": 1705
+    },
+    {
+      "entropy": 5.978239822387695,
+      "epoch": 1.4167357083678542,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004954525689115935,
+      "loss": 5.9177,
+      "mean_token_accuracy": 0.13326097056269645,
+      "num_tokens": 3121106.0,
+      "step": 1710
+    },
+    {
+      "entropy": 6.007881164550781,
+      "epoch": 1.4208782104391053,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004953884248606669,
+      "loss": 5.945,
+      "mean_token_accuracy": 0.14831372052431108,
+      "num_tokens": 3130662.0,
+      "step": 1715
+    },
+    {
+      "entropy": 5.97642674446106,
+      "epoch": 1.4250207125103562,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004953238362622034,
+      "loss": 5.9812,
+      "mean_token_accuracy": 0.13328263983130456,
+      "num_tokens": 3139538.0,
+      "step": 1720
+    },
+    {
+      "entropy": 6.0256367206573485,
+      "epoch": 1.4291632145816073,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004952588032464855,
+      "loss": 6.0298,
+      "mean_token_accuracy": 0.12707214802503586,
+      "num_tokens": 3148552.0,
+      "step": 1725
+    },
+    {
+      "entropy": 5.996851205825806,
+      "epoch": 1.4333057166528582,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004951933259446919,
+      "loss": 5.9365,
+      "mean_token_accuracy": 0.14197203740477563,
+      "num_tokens": 3156549.0,
+      "step": 1730
+    },
+    {
+      "entropy": 6.114988136291504,
+      "epoch": 1.4374482187241093,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004951274044888975,
+      "loss": 6.1006,
+      "mean_token_accuracy": 0.12147112190723419,
+      "num_tokens": 3166821.0,
+      "step": 1735
+    },
+    {
+      "entropy": 5.960144329071045,
+      "epoch": 1.4415907207953604,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004950610390120731,
+      "loss": 5.9848,
+      "mean_token_accuracy": 0.135729306191206,
+      "num_tokens": 3174962.0,
+      "step": 1740
+    },
+    {
+      "entropy": 6.087535095214844,
+      "epoch": 1.4457332228666115,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000494994229648085,
+      "loss": 5.8903,
+      "mean_token_accuracy": 0.13537728488445283,
+      "num_tokens": 3184027.0,
+      "step": 1745
+    },
+    {
+      "entropy": 5.957475805282593,
+      "epoch": 1.4498757249378624,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004949269765316948,
+      "loss": 6.0321,
+      "mean_token_accuracy": 0.13071285635232927,
+      "num_tokens": 3193186.0,
+      "step": 1750
+    },
+    {
+      "entropy": 6.171153354644775,
+      "epoch": 1.4540182270091135,
+      "grad_norm": 2.140625,
+      "learning_rate": 0.0004948592797985599,
+      "loss": 6.0525,
+      "mean_token_accuracy": 0.13555259853601456,
+      "num_tokens": 3202676.0,
+      "step": 1755
+    },
+    {
+      "entropy": 6.123908805847168,
+      "epoch": 1.4581607290803644,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947911395852317,
+      "loss": 6.1524,
+      "mean_token_accuracy": 0.1352410912513733,
+      "num_tokens": 3211950.0,
+      "step": 1760
+    },
+    {
+      "entropy": 6.120599699020386,
+      "epoch": 1.4623032311516155,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947225560291565,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12961760386824608,
+      "num_tokens": 3221135.0,
+      "step": 1765
+    },
+    {
+      "entropy": 5.962483358383179,
+      "epoch": 1.4664457332228666,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004946535292686746,
+      "loss": 5.8975,
+      "mean_token_accuracy": 0.13825839310884475,
+      "num_tokens": 3230174.0,
+      "step": 1770
+    },
+    {
+      "entropy": 5.979943370819091,
+      "epoch": 1.4705882352941178,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004945840594430209,
+      "loss": 5.8871,
+      "mean_token_accuracy": 0.1381668671965599,
+      "num_tokens": 3238898.0,
+      "step": 1775
+    },
+    {
+      "entropy": 5.973515844345092,
+      "epoch": 1.4747307373653686,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004945141466923235,
+      "loss": 5.9292,
+      "mean_token_accuracy": 0.14479121565818787,
+      "num_tokens": 3247550.0,
+      "step": 1780
+    },
+    {
+      "entropy": 6.113377714157105,
+      "epoch": 1.4788732394366197,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004944437911576041,
+      "loss": 6.0779,
+      "mean_token_accuracy": 0.12900342419743538,
+      "num_tokens": 3256810.0,
+      "step": 1785
+    },
+    {
+      "entropy": 5.9020613670349125,
+      "epoch": 1.4830157415078706,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004943729929807772,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.139550269395113,
+      "num_tokens": 3265886.0,
+      "step": 1790
+    },
+    {
+      "entropy": 6.06021089553833,
+      "epoch": 1.4871582435791217,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004943017523046507,
+      "loss": 5.9273,
+      "mean_token_accuracy": 0.137468421459198,
+      "num_tokens": 3274522.0,
+      "step": 1795
+    },
+    {
+      "entropy": 6.027210426330567,
+      "epoch": 1.4913007456503728,
+      "grad_norm": 1.25,
+      "learning_rate": 0.000494230069272925,
+      "loss": 6.0486,
+      "mean_token_accuracy": 0.13558472618460654,
+      "num_tokens": 3283388.0,
+      "step": 1800
+    },
+    {
+      "entropy": 5.989331531524658,
+      "epoch": 1.495443247721624,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004941579440301923,
+      "loss": 5.9224,
+      "mean_token_accuracy": 0.1305856943130493,
+      "num_tokens": 3291887.0,
+      "step": 1805
+    },
+    {
+      "entropy": 5.96136965751648,
+      "epoch": 1.4995857497928748,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940853767219372,
+      "loss": 5.9685,
+      "mean_token_accuracy": 0.13564062863588333,
+      "num_tokens": 3300674.0,
+      "step": 1810
+    },
+    {
+      "entropy": 5.9364429950714115,
+      "epoch": 1.503728251864126,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940123674945359,
+      "loss": 5.8311,
+      "mean_token_accuracy": 0.13808463513851166,
+      "num_tokens": 3309745.0,
+      "step": 1815
+    },
+    {
+      "entropy": 6.076629638671875,
+      "epoch": 1.5078707539353768,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004939389164952561,
+      "loss": 5.9722,
+      "mean_token_accuracy": 0.1378110609948635,
+      "num_tokens": 3318888.0,
+      "step": 1820
+    },
+    {
+      "entropy": 5.8970863819122314,
+      "epoch": 1.512013256006628,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004938650238722564,
+      "loss": 5.9296,
+      "mean_token_accuracy": 0.13823849260807036,
+      "num_tokens": 3328274.0,
+      "step": 1825
+    },
+    {
+      "entropy": 6.003948831558228,
+      "epoch": 1.516155758077879,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004937906897745861,
+      "loss": 5.9387,
+      "mean_token_accuracy": 0.1468382939696312,
+      "num_tokens": 3337579.0,
+      "step": 1830
+    },
+    {
+      "entropy": 6.045965003967285,
+      "epoch": 1.5202982601491302,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004937159143521856,
+      "loss": 5.9081,
+      "mean_token_accuracy": 0.14555162489414214,
+      "num_tokens": 3346262.0,
+      "step": 1835
+    },
+    {
+      "entropy": 5.972390079498291,
+      "epoch": 1.5244407622203813,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004936406977558847,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.13030771315097808,
+      "num_tokens": 3354833.0,
+      "step": 1840
+    },
+    {
+      "entropy": 6.051387977600098,
+      "epoch": 1.5285832642916322,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004935650401374039,
+      "loss": 6.0906,
+      "mean_token_accuracy": 0.14119647368788718,
+      "num_tokens": 3364314.0,
+      "step": 1845
+    },
+    {
+      "entropy": 6.046140813827515,
+      "epoch": 1.532725766362883,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004934889416493524,
+      "loss": 5.9157,
+      "mean_token_accuracy": 0.13524662256240844,
+      "num_tokens": 3373648.0,
+      "step": 1850
+    },
+    {
+      "entropy": 5.863892507553101,
+      "epoch": 1.5368682684341342,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004934124024452295,
+      "loss": 5.7869,
+      "mean_token_accuracy": 0.1471114367246628,
+      "num_tokens": 3382919.0,
+      "step": 1855
+    },
+    {
+      "entropy": 5.888700532913208,
+      "epoch": 1.5410107705053853,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004933354226794232,
+      "loss": 5.9383,
+      "mean_token_accuracy": 0.1432707317173481,
+      "num_tokens": 3391814.0,
+      "step": 1860
+    },
+    {
+      "entropy": 6.080925798416137,
+      "epoch": 1.5451532725766364,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004932580025072098,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.13580586463212968,
+      "num_tokens": 3400392.0,
+      "step": 1865
+    },
+    {
+      "entropy": 5.996384525299073,
+      "epoch": 1.5492957746478875,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004931801420847545,
+      "loss": 6.036,
+      "mean_token_accuracy": 0.13089759424328803,
+      "num_tokens": 3410430.0,
+      "step": 1870
+    },
+    {
+      "entropy": 5.932257795333863,
+      "epoch": 1.5534382767191384,
+      "grad_norm": 0.9609375,
+      "learning_rate": 0.0004931018415691102,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.13694921880960464,
+      "num_tokens": 3420654.0,
+      "step": 1875
+    },
+    {
+      "entropy": 5.951343011856079,
+      "epoch": 1.5575807787903893,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004930231011182176,
+      "loss": 5.9986,
+      "mean_token_accuracy": 0.13937177062034606,
+      "num_tokens": 3430514.0,
+      "step": 1880
+    },
+    {
+      "entropy": 6.071512508392334,
+      "epoch": 1.5617232808616404,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004929439208909048,
+      "loss": 5.9331,
+      "mean_token_accuracy": 0.1375361390411854,
+      "num_tokens": 3439551.0,
+      "step": 1885
+    },
+    {
+      "entropy": 5.902947330474854,
+      "epoch": 1.5658657829328915,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004928643010468869,
+      "loss": 5.8911,
+      "mean_token_accuracy": 0.13622887432575226,
+      "num_tokens": 3448160.0,
+      "step": 1890
+    },
+    {
+      "entropy": 5.993059539794922,
+      "epoch": 1.5700082850041426,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004927842417467659,
+      "loss": 5.9517,
+      "mean_token_accuracy": 0.14548188596963882,
+      "num_tokens": 3457296.0,
+      "step": 1895
+    },
+    {
+      "entropy": 6.027637386322022,
+      "epoch": 1.5741507870753937,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004927037431520302,
+      "loss": 5.9073,
+      "mean_token_accuracy": 0.14102519080042838,
+      "num_tokens": 3466108.0,
+      "step": 1900
+    },
+    {
+      "entropy": 5.975209665298462,
+      "epoch": 1.5782932891466446,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004926228054250541,
+      "loss": 5.9941,
+      "mean_token_accuracy": 0.14009249955415726,
+      "num_tokens": 3475336.0,
+      "step": 1905
+    },
+    {
+      "entropy": 6.073916673660278,
+      "epoch": 1.5824357912178955,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004925414287290979,
+      "loss": 5.9668,
+      "mean_token_accuracy": 0.13723743334412575,
+      "num_tokens": 3483963.0,
+      "step": 1910
+    },
+    {
+      "entropy": 5.848618030548096,
+      "epoch": 1.5865782932891466,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004924596132283075,
+      "loss": 5.8765,
+      "mean_token_accuracy": 0.14485997408628465,
+      "num_tokens": 3492947.0,
+      "step": 1915
+    },
+    {
+      "entropy": 5.966853284835816,
+      "epoch": 1.5907207953603977,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004923773590877135,
+      "loss": 5.9651,
+      "mean_token_accuracy": 0.13334692791104316,
+      "num_tokens": 3501877.0,
+      "step": 1920
+    },
+    {
+      "entropy": 6.042904996871949,
+      "epoch": 1.5948632974316488,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004922946664732314,
+      "loss": 6.0304,
+      "mean_token_accuracy": 0.13204361274838447,
+      "num_tokens": 3510610.0,
+      "step": 1925
+    },
+    {
+      "entropy": 6.0583656311035154,
+      "epoch": 1.5990057995029,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004922115355516615,
+      "loss": 5.9841,
+      "mean_token_accuracy": 0.13304307833313941,
+      "num_tokens": 3519829.0,
+      "step": 1930
+    },
+    {
+      "entropy": 6.015839862823486,
+      "epoch": 1.6031483015741508,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004921279664906877,
+      "loss": 5.9661,
+      "mean_token_accuracy": 0.13071200698614122,
+      "num_tokens": 3529408.0,
+      "step": 1935
+    },
+    {
+      "entropy": 5.924501991271972,
+      "epoch": 1.6072908036454017,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004920439594588781,
+      "loss": 5.8955,
+      "mean_token_accuracy": 0.14675913602113724,
+      "num_tokens": 3538068.0,
+      "step": 1940
+    },
+    {
+      "entropy": 6.051935148239136,
+      "epoch": 1.6114333057166528,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000491959514625684,
+      "loss": 6.0177,
+      "mean_token_accuracy": 0.13845598921179772,
+      "num_tokens": 3547302.0,
+      "step": 1945
+    },
+    {
+      "entropy": 5.956210565567017,
+      "epoch": 1.6155758077879039,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00049187463216144,
+      "loss": 5.9024,
+      "mean_token_accuracy": 0.145584287494421,
+      "num_tokens": 3556087.0,
+      "step": 1950
+    },
+    {
+      "entropy": 6.046857452392578,
+      "epoch": 1.619718309859155,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.000491789312237363,
+      "loss": 5.9857,
+      "mean_token_accuracy": 0.13579782098531723,
+      "num_tokens": 3566235.0,
+      "step": 1955
+    },
+    {
+      "entropy": 5.983897924423218,
+      "epoch": 1.623860811930406,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004917035550255528,
+      "loss": 5.899,
+      "mean_token_accuracy": 0.14092317298054696,
+      "num_tokens": 3574762.0,
+      "step": 1960
+    },
+    {
+      "entropy": 5.904513597488403,
+      "epoch": 1.628003314001657,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000491617360698991,
+      "loss": 5.8837,
+      "mean_token_accuracy": 0.139695380628109,
+      "num_tokens": 3583359.0,
+      "step": 1965
+    },
+    {
+      "entropy": 5.920687866210938,
+      "epoch": 1.6321458160729079,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004915307294315412,
+      "loss": 5.8505,
+      "mean_token_accuracy": 0.14011457338929176,
+      "num_tokens": 3591436.0,
+      "step": 1970
+    },
+    {
+      "entropy": 5.926318550109864,
+      "epoch": 1.636288318144159,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.000491443661397948,
+      "loss": 5.9355,
+      "mean_token_accuracy": 0.13468224480748175,
+      "num_tokens": 3601054.0,
+      "step": 1975
+    },
+    {
+      "entropy": 5.974443817138672,
+      "epoch": 1.64043082021541,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004913561567738368,
+      "loss": 5.9014,
+      "mean_token_accuracy": 0.1383673779666424,
+      "num_tokens": 3610641.0,
+      "step": 1980
+    },
+    {
+      "entropy": 5.912512636184692,
+      "epoch": 1.6445733222866612,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004912682157357146,
+      "loss": 5.8447,
+      "mean_token_accuracy": 0.13975749984383584,
+      "num_tokens": 3619351.0,
+      "step": 1985
+    },
+    {
+      "entropy": 5.853101539611816,
+      "epoch": 1.6487158243579123,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004911798384609675,
+      "loss": 5.8306,
+      "mean_token_accuracy": 0.1472959376871586,
+      "num_tokens": 3627341.0,
+      "step": 1990
+    },
+    {
+      "entropy": 5.942045879364014,
+      "epoch": 1.6528583264291632,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004910910251278626,
+      "loss": 5.8918,
+      "mean_token_accuracy": 0.14801610112190247,
+      "num_tokens": 3637132.0,
+      "step": 1995
+    },
+    {
+      "entropy": 5.919465351104736,
+      "epoch": 1.6570008285004143,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004910017759155458,
+      "loss": 5.9479,
+      "mean_token_accuracy": 0.1400071859359741,
+      "num_tokens": 3646196.0,
+      "step": 2000
+    },
+    {
+      "epoch": 1.6570008285004143,
+      "eval_entropy": 5.874394122979789,
+      "eval_loss": 6.1148576736450195,
+      "eval_mean_token_accuracy": 0.1363023624046525,
+      "eval_num_tokens": 3646196.0,
+      "eval_runtime": 2.7574,
+      "eval_samples_per_second": 1358.871,
+      "eval_steps_per_second": 170.085,
+      "step": 2000
+    },
+    {
+      "entropy": 5.967284250259399,
+      "epoch": 1.6611433305716652,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004909120910040427,
+      "loss": 5.8839,
+      "mean_token_accuracy": 0.1461731344461441,
+      "num_tokens": 3654658.0,
+      "step": 2005
+    },
+    {
+      "entropy": 6.045904684066772,
+      "epoch": 1.6652858326429163,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004908219705742574,
+      "loss": 6.1605,
+      "mean_token_accuracy": 0.13489469960331918,
+      "num_tokens": 3664509.0,
+      "step": 2010
+    },
+    {
+      "entropy": 6.002130031585693,
+      "epoch": 1.6694283347141674,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004907314148079727,
+      "loss": 5.8567,
+      "mean_token_accuracy": 0.1425239197909832,
+      "num_tokens": 3672983.0,
+      "step": 2015
+    },
+    {
+      "entropy": 5.708412790298462,
+      "epoch": 1.6735708367854185,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004906404238878496,
+      "loss": 5.7221,
+      "mean_token_accuracy": 0.14639501571655272,
+      "num_tokens": 3681196.0,
+      "step": 2020
+    },
+    {
+      "entropy": 5.97982873916626,
+      "epoch": 1.6777133388566694,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004905489979974265,
+      "loss": 5.9098,
+      "mean_token_accuracy": 0.14081615954637527,
+      "num_tokens": 3690077.0,
+      "step": 2025
+    },
+    {
+      "entropy": 5.942774772644043,
+      "epoch": 1.6818558409279205,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004904571373211197,
+      "loss": 5.9906,
+      "mean_token_accuracy": 0.13563016131520272,
+      "num_tokens": 3700121.0,
+      "step": 2030
+    },
+    {
+      "entropy": 5.897730588912964,
+      "epoch": 1.6859983429991714,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000490364842044222,
+      "loss": 5.8074,
+      "mean_token_accuracy": 0.14530285224318504,
+      "num_tokens": 3709618.0,
+      "step": 2035
+    },
+    {
+      "entropy": 5.954602289199829,
+      "epoch": 1.6901408450704225,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004902721123529031,
+      "loss": 5.9869,
+      "mean_token_accuracy": 0.12953415215015412,
+      "num_tokens": 3719570.0,
+      "step": 2040
+    },
+    {
+      "entropy": 6.074023342132568,
+      "epoch": 1.6942833471416736,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000490178948434209,
+      "loss": 5.9267,
+      "mean_token_accuracy": 0.14249598532915114,
+      "num_tokens": 3729354.0,
+      "step": 2045
+    },
+    {
+      "entropy": 5.833365964889526,
+      "epoch": 1.6984258492129247,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004900853504760614,
+      "loss": 5.8409,
+      "mean_token_accuracy": 0.14450331926345825,
+      "num_tokens": 3738453.0,
+      "step": 2050
+    },
+    {
+      "entropy": 5.888468265533447,
+      "epoch": 1.7025683512841756,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004899913186672577,
+      "loss": 5.8165,
+      "mean_token_accuracy": 0.14293194860219954,
+      "num_tokens": 3747815.0,
+      "step": 2055
+    },
+    {
+      "entropy": 5.914711236953735,
+      "epoch": 1.7067108533554267,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004898968531974702,
+      "loss": 5.9249,
+      "mean_token_accuracy": 0.14642315953969956,
+      "num_tokens": 3757298.0,
+      "step": 2060
+    },
+    {
+      "entropy": 5.978992033004761,
+      "epoch": 1.7108533554266776,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004898019542572462,
+      "loss": 5.9124,
+      "mean_token_accuracy": 0.14719650894403458,
+      "num_tokens": 3765939.0,
+      "step": 2065
+    },
+    {
+      "entropy": 6.005469894409179,
+      "epoch": 1.7149958574979287,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004897066220380073,
+      "loss": 5.933,
+      "mean_token_accuracy": 0.13779435828328132,
+      "num_tokens": 3775160.0,
+      "step": 2070
+    },
+    {
+      "entropy": 5.921374797821045,
+      "epoch": 1.7191383595691798,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004896108567320489,
+      "loss": 5.831,
+      "mean_token_accuracy": 0.14186858981847764,
+      "num_tokens": 3785181.0,
+      "step": 2075
+    },
+    {
+      "entropy": 5.972924375534058,
+      "epoch": 1.723280861640431,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048951465853254,
+      "loss": 5.9444,
+      "mean_token_accuracy": 0.14323145076632499,
+      "num_tokens": 3794531.0,
+      "step": 2080
+    },
+    {
+      "entropy": 5.953138160705566,
+      "epoch": 1.7274233637116818,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004894180276335231,
+      "loss": 5.934,
+      "mean_token_accuracy": 0.1396125227212906,
+      "num_tokens": 3804602.0,
+      "step": 2085
+    },
+    {
+      "entropy": 5.9721667766571045,
+      "epoch": 1.731565865782933,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004893209642299132,
+      "loss": 5.97,
+      "mean_token_accuracy": 0.1395590640604496,
+      "num_tokens": 3813394.0,
+      "step": 2090
+    },
+    {
+      "entropy": 5.97849326133728,
+      "epoch": 1.7357083678541838,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004892234685174976,
+      "loss": 5.962,
+      "mean_token_accuracy": 0.13808128908276557,
+      "num_tokens": 3821604.0,
+      "step": 2095
+    },
+    {
+      "entropy": 5.967495775222778,
+      "epoch": 1.739850869925435,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004891255406929359,
+      "loss": 5.9564,
+      "mean_token_accuracy": 0.13652343899011612,
+      "num_tokens": 3831977.0,
+      "step": 2100
+    },
+    {
+      "entropy": 5.98737063407898,
+      "epoch": 1.743993371996686,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004890271809537595,
+      "loss": 5.9017,
+      "mean_token_accuracy": 0.1393343411386013,
+      "num_tokens": 3840684.0,
+      "step": 2105
+    },
+    {
+      "entropy": 5.870862340927124,
+      "epoch": 1.7481358740679371,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004889283894983704,
+      "loss": 5.8147,
+      "mean_token_accuracy": 0.1389534741640091,
+      "num_tokens": 3851147.0,
+      "step": 2110
+    },
+    {
+      "entropy": 6.002704238891601,
+      "epoch": 1.752278376139188,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000488829166526042,
+      "loss": 5.9838,
+      "mean_token_accuracy": 0.13991605415940284,
+      "num_tokens": 3859881.0,
+      "step": 2115
+    },
+    {
+      "entropy": 5.948231506347656,
+      "epoch": 1.7564208782104391,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004887295122369176,
+      "loss": 6.0107,
+      "mean_token_accuracy": 0.13371825441718102,
+      "num_tokens": 3870151.0,
+      "step": 2120
+    },
+    {
+      "entropy": 5.99525203704834,
+      "epoch": 1.76056338028169,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.000488629426832011,
+      "loss": 5.9313,
+      "mean_token_accuracy": 0.13850879445672035,
+      "num_tokens": 3878398.0,
+      "step": 2125
+    },
+    {
+      "entropy": 5.924004030227661,
+      "epoch": 1.7647058823529411,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004885289105132054,
+      "loss": 5.8893,
+      "mean_token_accuracy": 0.14114601090550422,
+      "num_tokens": 3888007.0,
+      "step": 2130
+    },
+    {
+      "entropy": 5.930246257781983,
+      "epoch": 1.7688483844241922,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004884279634832532,
+      "loss": 5.8728,
+      "mean_token_accuracy": 0.14278061985969542,
+      "num_tokens": 3896945.0,
+      "step": 2135
+    },
+    {
+      "entropy": 5.940092372894287,
+      "epoch": 1.7729908864954433,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004883265859457754,
+      "loss": 5.8905,
+      "mean_token_accuracy": 0.1457919418811798,
+      "num_tokens": 3906049.0,
+      "step": 2140
+    },
+    {
+      "entropy": 5.866062164306641,
+      "epoch": 1.7771333885666944,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048822477810526186,
+      "loss": 5.8422,
+      "mean_token_accuracy": 0.1388966679573059,
+      "num_tokens": 3915050.0,
+      "step": 2145
+    },
+    {
+      "entropy": 5.966696119308471,
+      "epoch": 1.7812758906379453,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00048812254016706994,
+      "loss": 5.9205,
+      "mean_token_accuracy": 0.14728582575917243,
+      "num_tokens": 3924031.0,
+      "step": 2150
+    },
+    {
+      "entropy": 5.915832757949829,
+      "epoch": 1.7854183927091962,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004880198723374247,
+      "loss": 5.9776,
+      "mean_token_accuracy": 0.14149753525853156,
+      "num_tokens": 3933756.0,
+      "step": 2155
+    },
+    {
+      "entropy": 5.959774684906006,
+      "epoch": 1.7895608947804473,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048791677482341845,
+      "loss": 5.9592,
+      "mean_token_accuracy": 0.13750381171703338,
+      "num_tokens": 3943129.0,
+      "step": 2160
+    },
+    {
+      "entropy": 5.881538438796997,
+      "epoch": 1.7937033968516984,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048781324783301016,
+      "loss": 5.7912,
+      "mean_token_accuracy": 0.14508036673069,
+      "num_tokens": 3951494.0,
+      "step": 2165
+    },
+    {
+      "entropy": 5.946735525131226,
+      "epoch": 1.7978458989229495,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048770929157502505,
+      "loss": 5.9565,
+      "mean_token_accuracy": 0.143115097284317,
+      "num_tokens": 3960588.0,
+      "step": 2170
+    },
+    {
+      "entropy": 5.9805809497833256,
+      "epoch": 1.8019884009942007,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004876049062591543,
+      "loss": 5.9226,
+      "mean_token_accuracy": 0.13506680428981782,
+      "num_tokens": 3970135.0,
+      "step": 2175
+    },
+    {
+      "entropy": 5.950060653686523,
+      "epoch": 1.8061309030654515,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048750009209595443,
+      "loss": 5.9042,
+      "mean_token_accuracy": 0.13944360390305519,
+      "num_tokens": 3979569.0,
+      "step": 2180
+    },
+    {
+      "entropy": 5.88271656036377,
+      "epoch": 1.8102734051367024,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048739484929684714,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.144245932251215,
+      "num_tokens": 3987885.0,
+      "step": 2185
+    },
+    {
+      "entropy": 5.933677864074707,
+      "epoch": 1.8144159072079535,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048728917807411856,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.13125594183802605,
+      "num_tokens": 3997726.0,
+      "step": 2190
+    },
+    {
+      "entropy": 6.008653068542481,
+      "epoch": 1.8185584092792046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004871830786409191,
+      "loss": 5.8436,
+      "mean_token_accuracy": 0.14898036047816277,
+      "num_tokens": 4006437.0,
+      "step": 2195
+    },
+    {
+      "entropy": 5.856683444976807,
+      "epoch": 1.8227009113504558,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00048707655121126296,
+      "loss": 5.8124,
+      "mean_token_accuracy": 0.14927435666322708,
+      "num_tokens": 4015326.0,
+      "step": 2200
+    },
+    {
+      "entropy": 5.924995994567871,
+      "epoch": 1.8268434134217069,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048696959600002767,
+      "loss": 5.8722,
+      "mean_token_accuracy": 0.14032577201724053,
+      "num_tokens": 4024294.0,
+      "step": 2205
+    },
+    {
+      "entropy": 5.881852293014527,
+      "epoch": 1.8309859154929577,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048686221322295347,
+      "loss": 5.9028,
+      "mean_token_accuracy": 0.14340249821543694,
+      "num_tokens": 4033341.0,
+      "step": 2210
+    },
+    {
+      "entropy": 5.951443433761597,
+      "epoch": 1.8351284175642086,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048675440309664314,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.1474481076002121,
+      "num_tokens": 4042446.0,
+      "step": 2215
+    },
+    {
+      "entropy": 5.832607173919678,
+      "epoch": 1.8392709196354597,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00048664616583856166,
+      "loss": 5.8924,
+      "mean_token_accuracy": 0.13868724405765534,
+      "num_tokens": 4051849.0,
+      "step": 2220
+    },
+    {
+      "entropy": 6.026660823822022,
+      "epoch": 1.8434134217067109,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00048653750166703516,
+      "loss": 5.9855,
+      "mean_token_accuracy": 0.1381051518023014,
+      "num_tokens": 4061075.0,
+      "step": 2225
+    },
+    {
+      "entropy": 5.976817560195923,
+      "epoch": 1.847555923777962,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004864284108012513,
+      "loss": 5.9524,
+      "mean_token_accuracy": 0.13498588278889656,
+      "num_tokens": 4071022.0,
+      "step": 2230
+    },
+    {
+      "entropy": 5.884273719787598,
+      "epoch": 1.851698425849213,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004863188934612583,
+      "loss": 5.854,
+      "mean_token_accuracy": 0.1435965158045292,
+      "num_tokens": 4080728.0,
+      "step": 2235
+    },
+    {
+      "entropy": 5.8848789691925045,
+      "epoch": 1.855840927920464,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004862089498679645,
+      "loss": 5.8121,
+      "mean_token_accuracy": 0.15146355628967284,
+      "num_tokens": 4088712.0,
+      "step": 2240
+    },
+    {
+      "entropy": 5.904728364944458,
+      "epoch": 1.8599834299917148,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004860985802431383,
+      "loss": 5.8445,
+      "mean_token_accuracy": 0.14107747822999955,
+      "num_tokens": 4097488.0,
+      "step": 2245
+    },
+    {
+      "entropy": 5.815548610687256,
+      "epoch": 1.864125932062966,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004859877848094071,
+      "loss": 5.8328,
+      "mean_token_accuracy": 0.14647450745105745,
+      "num_tokens": 4106485.0,
+      "step": 2250
+    },
+    {
+      "entropy": 5.969652986526489,
+      "epoch": 1.868268434134217,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004858765637902575,
+      "loss": 5.8016,
+      "mean_token_accuracy": 0.14588006138801574,
+      "num_tokens": 4115806.0,
+      "step": 2255
+    },
+    {
+      "entropy": 5.982199335098267,
+      "epoch": 1.8724109362054682,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004857649174100344,
+      "loss": 5.9353,
+      "mean_token_accuracy": 0.14478921219706536,
+      "num_tokens": 4124636.0,
+      "step": 2260
+    },
+    {
+      "entropy": 5.869907474517822,
+      "epoch": 1.8765534382767193,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.0004856528458939409,
+      "loss": 5.8948,
+      "mean_token_accuracy": 0.13403457626700402,
+      "num_tokens": 4133876.0,
+      "step": 2265
+    },
+    {
+      "entropy": 5.836872100830078,
+      "epoch": 1.8806959403479702,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004855403494680373,
+      "loss": 5.8159,
+      "mean_token_accuracy": 0.14096100330352784,
+      "num_tokens": 4143555.0,
+      "step": 2270
+    },
+    {
+      "entropy": 5.871636962890625,
+      "epoch": 1.884838442419221,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00048542742835924133,
+      "loss": 5.7773,
+      "mean_token_accuracy": 0.14253296032547952,
+      "num_tokens": 4153007.0,
+      "step": 2275
+    },
+    {
+      "entropy": 5.766701364517212,
+      "epoch": 1.8889809444904722,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048531408279532705,
+      "loss": 5.8171,
+      "mean_token_accuracy": 0.14552054405212403,
+      "num_tokens": 4162107.0,
+      "step": 2280
+    },
+    {
+      "entropy": 5.884533357620239,
+      "epoch": 1.8931234465617233,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048520031300492507,
+      "loss": 5.8208,
+      "mean_token_accuracy": 0.14203491136431695,
+      "num_tokens": 4170920.0,
+      "step": 2285
+    },
+    {
+      "entropy": 5.9367118835449215,
+      "epoch": 1.8972659486329744,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048508611921752124,
+      "loss": 5.8366,
+      "mean_token_accuracy": 0.14547978863120078,
+      "num_tokens": 4180226.0,
+      "step": 2290
+    },
+    {
+      "entropy": 5.804201984405518,
+      "epoch": 1.9014084507042255,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00048497150166345703,
+      "loss": 5.7799,
+      "mean_token_accuracy": 0.14307984560728074,
+      "num_tokens": 4189283.0,
+      "step": 2295
+    },
+    {
+      "entropy": 5.833661937713623,
+      "epoch": 1.9055509527754764,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004848564605739287,
+      "loss": 5.8181,
+      "mean_token_accuracy": 0.14286661818623542,
+      "num_tokens": 4199017.0,
+      "step": 2300
+    },
+    {
+      "entropy": 5.985245418548584,
+      "epoch": 1.9096934548467275,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048474099618098644,
+      "loss": 5.9557,
+      "mean_token_accuracy": 0.13776218444108962,
+      "num_tokens": 4207756.0,
+      "step": 2305
+    },
+    {
+      "entropy": 5.926583385467529,
+      "epoch": 1.9138359569179784,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004846251087175348,
+      "loss": 5.8467,
+      "mean_token_accuracy": 0.14270823299884797,
+      "num_tokens": 4216721.0,
+      "step": 2310
+    },
+    {
+      "entropy": 5.816466999053955,
+      "epoch": 1.9179784589892295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004845087984173312,
+      "loss": 5.8214,
+      "mean_token_accuracy": 0.14952016696333886,
+      "num_tokens": 4225596.0,
+      "step": 2315
+    },
+    {
+      "entropy": 5.975145244598389,
+      "epoch": 1.9221209610604806,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048439206551498644,
+      "loss": 5.8881,
+      "mean_token_accuracy": 0.14604572355747222,
+      "num_tokens": 4234500.0,
+      "step": 2320
+    },
+    {
+      "entropy": 5.83410792350769,
+      "epoch": 1.9262634631317317,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004842749102459635,
+      "loss": 5.8331,
+      "mean_token_accuracy": 0.14477182626724244,
+      "num_tokens": 4243240.0,
+      "step": 2325
+    },
+    {
+      "entropy": 5.799895906448365,
+      "epoch": 1.9304059652029826,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048415733284657727,
+      "loss": 5.8249,
+      "mean_token_accuracy": 0.14724751114845275,
+      "num_tokens": 4251892.0,
+      "step": 2330
+    },
+    {
+      "entropy": 5.914888668060303,
+      "epoch": 1.9345484672742337,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004840393335539943,
+      "loss": 5.784,
+      "mean_token_accuracy": 0.14537777602672577,
+      "num_tokens": 4261447.0,
+      "step": 2335
+    },
+    {
+      "entropy": 5.93565788269043,
+      "epoch": 1.9386909693454846,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048392091260623195,
+      "loss": 5.9202,
+      "mean_token_accuracy": 0.1471864774823189,
+      "num_tokens": 4270120.0,
+      "step": 2340
+    },
+    {
+      "entropy": 5.905978488922119,
+      "epoch": 1.9428334714167357,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048380207024215836,
+      "loss": 5.7991,
+      "mean_token_accuracy": 0.1482786476612091,
+      "num_tokens": 4278300.0,
+      "step": 2345
+    },
+    {
+      "entropy": 5.905145263671875,
+      "epoch": 1.9469759734879868,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00048368280670149145,
+      "loss": 5.8487,
+      "mean_token_accuracy": 0.1461447760462761,
+      "num_tokens": 4286454.0,
+      "step": 2350
+    },
+    {
+      "entropy": 5.805000495910645,
+      "epoch": 1.951118475559238,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004835631222247989,
+      "loss": 5.7243,
+      "mean_token_accuracy": 0.15050614029169082,
+      "num_tokens": 4294752.0,
+      "step": 2355
+    },
+    {
+      "entropy": 5.907592630386352,
+      "epoch": 1.9552609776304888,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00048344301705349735,
+      "loss": 5.7974,
+      "mean_token_accuracy": 0.14830030649900436,
+      "num_tokens": 4303195.0,
+      "step": 2360
+    },
+    {
+      "entropy": 5.841587924957276,
+      "epoch": 1.95940347970174,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048332249142985195,
+      "loss": 5.9211,
+      "mean_token_accuracy": 0.1373597078025341,
+      "num_tokens": 4311961.0,
+      "step": 2365
+    },
+    {
+      "entropy": 5.900353670120239,
+      "epoch": 1.9635459817729908,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004832015455969763,
+      "loss": 5.7748,
+      "mean_token_accuracy": 0.13879901468753814,
+      "num_tokens": 4322267.0,
+      "step": 2370
+    },
+    {
+      "entropy": 5.774641275405884,
+      "epoch": 1.9676884838442419,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048308017979883114,
+      "loss": 5.8838,
+      "mean_token_accuracy": 0.1426581546664238,
+      "num_tokens": 4330584.0,
+      "step": 2375
+    },
+    {
+      "entropy": 5.840176010131836,
+      "epoch": 1.971830985915493,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048295839428022454,
+      "loss": 5.7215,
+      "mean_token_accuracy": 0.14949245899915695,
+      "num_tokens": 4339215.0,
+      "step": 2380
+    },
+    {
+      "entropy": 5.869688034057617,
+      "epoch": 1.975973487986744,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00048283618928681127,
+      "loss": 5.7418,
+      "mean_token_accuracy": 0.1501791574060917,
+      "num_tokens": 4347711.0,
+      "step": 2385
+    },
+    {
+      "entropy": 5.764533996582031,
+      "epoch": 1.980115990057995,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004827135650650923,
+      "loss": 5.7445,
+      "mean_token_accuracy": 0.14758301600813867,
+      "num_tokens": 4356982.0,
+      "step": 2390
+    },
+    {
+      "entropy": 5.770398235321045,
+      "epoch": 1.984258492129246,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004825905218624139,
+      "loss": 5.7696,
+      "mean_token_accuracy": 0.14773683473467827,
+      "num_tokens": 4365378.0,
+      "step": 2395
+    },
+    {
+      "entropy": 5.9908288478851315,
+      "epoch": 1.988400994200497,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048246705992696756,
+      "loss": 5.8174,
+      "mean_token_accuracy": 0.14142358154058457,
+      "num_tokens": 4374007.0,
+      "step": 2400
+    },
+    {
+      "entropy": 5.9741987705230715,
+      "epoch": 1.992543496271748,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048234317950778975,
+      "loss": 5.9346,
+      "mean_token_accuracy": 0.1409923940896988,
+      "num_tokens": 4383909.0,
+      "step": 2405
+    },
+    {
+      "entropy": 5.967488718032837,
+      "epoch": 1.9966859983429992,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004822188808547607,
+      "loss": 5.9967,
+      "mean_token_accuracy": 0.13560240790247918,
+      "num_tokens": 4393145.0,
+      "step": 2410
+    },
+    {
+      "entropy": 5.751282596588135,
+      "epoch": 2.0008285004142503,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004820941642186043,
+      "loss": 5.7146,
+      "mean_token_accuracy": 0.14043126851320267,
+      "num_tokens": 4402024.0,
+      "step": 2415
+    },
+    {
+      "entropy": 5.91456356048584,
+      "epoch": 2.0049710024855014,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004819690298508879,
+      "loss": 5.5395,
+      "mean_token_accuracy": 0.1603303700685501,
+      "num_tokens": 4411377.0,
+      "step": 2420
+    },
+    {
+      "entropy": 5.758482313156128,
+      "epoch": 2.009113504556752,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048184347800402083,
+      "loss": 5.4299,
+      "mean_token_accuracy": 0.16564757078886033,
+      "num_tokens": 4419781.0,
+      "step": 2425
+    },
+    {
+      "entropy": 5.727555131912231,
+      "epoch": 2.013256006628003,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004817175089312551,
+      "loss": 5.4154,
+      "mean_token_accuracy": 0.16400155574083328,
+      "num_tokens": 4428427.0,
+      "step": 2430
+    },
+    {
+      "entropy": 5.749885892868042,
+      "epoch": 2.0173985086992543,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048159112288668403,
+      "loss": 5.4586,
+      "mean_token_accuracy": 0.15933601409196854,
+      "num_tokens": 4438156.0,
+      "step": 2435
+    },
+    {
+      "entropy": 5.876013088226318,
+      "epoch": 2.0215410107705054,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00048146432012524215,
+      "loss": 5.4819,
+      "mean_token_accuracy": 0.16306492537260056,
+      "num_tokens": 4446342.0,
+      "step": 2440
+    },
+    {
+      "entropy": 5.738983201980591,
+      "epoch": 2.0256835128417565,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00048133710090270446,
+      "loss": 5.5229,
+      "mean_token_accuracy": 0.1542331963777542,
+      "num_tokens": 4455582.0,
+      "step": 2445
+    },
+    {
+      "entropy": 5.815389633178711,
+      "epoch": 2.0298260149130076,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048120946547568596,
+      "loss": 5.5375,
+      "mean_token_accuracy": 0.15604802072048188,
+      "num_tokens": 4464518.0,
+      "step": 2450
+    },
+    {
+      "entropy": 5.927202749252319,
+      "epoch": 2.0339685169842583,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00048108141410164133,
+      "loss": 5.6588,
+      "mean_token_accuracy": 0.14534952044486998,
+      "num_tokens": 4475031.0,
+      "step": 2455
+    },
+    {
+      "entropy": 5.8722837448120115,
+      "epoch": 2.0381110190555094,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004809529470388642,
+      "loss": 5.5396,
+      "mean_token_accuracy": 0.1577153742313385,
+      "num_tokens": 4484609.0,
+      "step": 2460
+    },
+    {
+      "entropy": 5.787671709060669,
+      "epoch": 2.0422535211267605,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004808240645464866,
+      "loss": 5.5698,
+      "mean_token_accuracy": 0.15477177649736404,
+      "num_tokens": 4494238.0,
+      "step": 2465
+    },
+    {
+      "entropy": 5.684235668182373,
+      "epoch": 2.0463960231980116,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004806947668844787,
+      "loss": 5.4573,
+      "mean_token_accuracy": 0.16172746568918228,
+      "num_tokens": 4503258.0,
+      "step": 2470
+    },
+    {
+      "entropy": 5.786364412307739,
+      "epoch": 2.0505385252692627,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048056505431364794,
+      "loss": 5.5091,
+      "mean_token_accuracy": 0.15975141078233718,
+      "num_tokens": 4512071.0,
+      "step": 2475
+    },
+    {
+      "entropy": 5.736668491363526,
+      "epoch": 2.054681027340514,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00048043492709563877,
+      "loss": 5.3461,
+      "mean_token_accuracy": 0.17059434503316878,
+      "num_tokens": 4520219.0,
+      "step": 2480
+    },
+    {
+      "entropy": 5.672813034057617,
+      "epoch": 2.0588235294117645,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048030438549293193,
+      "loss": 5.5568,
+      "mean_token_accuracy": 0.15284566581249237,
+      "num_tokens": 4529386.0,
+      "step": 2485
+    },
+    {
+      "entropy": 5.830966377258301,
+      "epoch": 2.0629660314830156,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00048017342976884424,
+      "loss": 5.5638,
+      "mean_token_accuracy": 0.15199215039610864,
+      "num_tokens": 4538860.0,
+      "step": 2490
+    },
+    {
+      "entropy": 5.761076402664185,
+      "epoch": 2.0671085335542667,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048004206018752773,
+      "loss": 5.5299,
+      "mean_token_accuracy": 0.15335657596588134,
+      "num_tokens": 4547842.0,
+      "step": 2495
+    },
+    {
+      "entropy": 5.733208799362183,
+      "epoch": 2.071251035625518,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047991027701396895,
+      "loss": 5.5026,
+      "mean_token_accuracy": 0.15411428660154342,
+      "num_tokens": 4556238.0,
+      "step": 2500
+    },
+    {
+      "epoch": 2.071251035625518,
+      "eval_entropy": 5.642364594473768,
+      "eval_loss": 6.032641410827637,
+      "eval_mean_token_accuracy": 0.1416530203399882,
+      "eval_num_tokens": 4556238.0,
+      "eval_runtime": 2.7817,
+      "eval_samples_per_second": 1347.034,
+      "eval_steps_per_second": 168.604,
+      "step": 2500
+    },
+    {
+      "entropy": 5.732073068618774,
+      "epoch": 2.075393537696769,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004797780805139892,
+      "loss": 5.5069,
+      "mean_token_accuracy": 0.1587075412273407,
+      "num_tokens": 4565684.0,
+      "step": 2505
+    },
+    {
+      "entropy": 5.722462224960327,
+      "epoch": 2.07953603976802,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004796454709542432,
+      "loss": 5.467,
+      "mean_token_accuracy": 0.1590041533112526,
+      "num_tokens": 4575001.0,
+      "step": 2510
+    },
+    {
+      "entropy": 5.797696113586426,
+      "epoch": 2.083678541839271,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004795124486022189,
+      "loss": 5.5732,
+      "mean_token_accuracy": 0.15362634360790253,
+      "num_tokens": 4584128.0,
+      "step": 2515
+    },
+    {
+      "entropy": 5.711380529403686,
+      "epoch": 2.087821043910522,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047937901372623694,
+      "loss": 5.4191,
+      "mean_token_accuracy": 0.16894411891698838,
+      "num_tokens": 4593011.0,
+      "step": 2520
+    },
+    {
+      "entropy": 5.688450145721435,
+      "epoch": 2.091963545981773,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00047924516659545005,
+      "loss": 5.4668,
+      "mean_token_accuracy": 0.16164053976535797,
+      "num_tokens": 4602676.0,
+      "step": 2525
+    },
+    {
+      "entropy": 5.79151463508606,
+      "epoch": 2.096106048053024,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004791109074798425,
+      "loss": 5.5522,
+      "mean_token_accuracy": 0.15433578938245773,
+      "num_tokens": 4611915.0,
+      "step": 2530
+    },
+    {
+      "entropy": 5.748647403717041,
+      "epoch": 2.100248550124275,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004789762366502296,
+      "loss": 5.5184,
+      "mean_token_accuracy": 0.15959300100803375,
+      "num_tokens": 4621396.0,
+      "step": 2535
+    },
+    {
+      "entropy": 5.7374598503112795,
+      "epoch": 2.1043910521955262,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004788411543782571,
+      "loss": 5.5201,
+      "mean_token_accuracy": 0.1591552659869194,
+      "num_tokens": 4630533.0,
+      "step": 2540
+    },
+    {
+      "entropy": 5.678498649597168,
+      "epoch": 2.108533554266777,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004787056609364008,
+      "loss": 5.4599,
+      "mean_token_accuracy": 0.1542729303240776,
+      "num_tokens": 4639023.0,
+      "step": 2545
+    },
+    {
+      "entropy": 5.711474943161011,
+      "epoch": 2.112676056338028,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004785697565979657,
+      "loss": 5.4732,
+      "mean_token_accuracy": 0.15900285094976424,
+      "num_tokens": 4647975.0,
+      "step": 2550
+    },
+    {
+      "entropy": 5.72883243560791,
+      "epoch": 2.116818558409279,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004784334416370857,
+      "loss": 5.498,
+      "mean_token_accuracy": 0.15594277828931807,
+      "num_tokens": 4657555.0,
+      "step": 2555
+    },
+    {
+      "entropy": 5.745093822479248,
+      "epoch": 2.1209610604805302,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004782967163287231,
+      "loss": 5.4193,
+      "mean_token_accuracy": 0.16100153774023057,
+      "num_tokens": 4667228.0,
+      "step": 2560
+    },
+    {
+      "entropy": 5.716836738586426,
+      "epoch": 2.1251035625517813,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047815958094866756,
+      "loss": 5.4957,
+      "mean_token_accuracy": 0.1513967014849186,
+      "num_tokens": 4676723.0,
+      "step": 2565
+    },
+    {
+      "entropy": 5.7276163578033445,
+      "epoch": 2.1292460646230325,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004780220357735363,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.15479894131422042,
+      "num_tokens": 4686241.0,
+      "step": 2570
+    },
+    {
+      "entropy": 5.764811038970947,
+      "epoch": 2.1333885666942836,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047788408108077294,
+      "loss": 5.5404,
+      "mean_token_accuracy": 0.1561874568462372,
+      "num_tokens": 4695195.0,
+      "step": 2575
+    },
+    {
+      "entropy": 5.739376497268677,
+      "epoch": 2.1375310687655342,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004777457171486471,
+      "loss": 5.5871,
+      "mean_token_accuracy": 0.15551834553480148,
+      "num_tokens": 4704716.0,
+      "step": 2580
+    },
+    {
+      "entropy": 5.769967555999756,
+      "epoch": 2.1416735708367853,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004776069442562541,
+      "loss": 5.5562,
+      "mean_token_accuracy": 0.15339450240135194,
+      "num_tokens": 4713720.0,
+      "step": 2585
+    },
+    {
+      "entropy": 5.733342504501342,
+      "epoch": 2.1458160729080364,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004774677626835138,
+      "loss": 5.5366,
+      "mean_token_accuracy": 0.15301723331212996,
+      "num_tokens": 4722428.0,
+      "step": 2590
+    },
+    {
+      "entropy": 5.787648677825928,
+      "epoch": 2.1499585749792876,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00047732817271117084,
+      "loss": 5.5365,
+      "mean_token_accuracy": 0.15334974452853203,
+      "num_tokens": 4732395.0,
+      "step": 2595
+    },
+    {
+      "entropy": 5.773520803451538,
+      "epoch": 2.1541010770505387,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004771881746207934,
+      "loss": 5.5206,
+      "mean_token_accuracy": 0.15674114525318145,
+      "num_tokens": 4741071.0,
+      "step": 2600
+    },
+    {
+      "entropy": 5.607013797760009,
+      "epoch": 2.1582435791217898,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047704776869477285,
+      "loss": 5.5153,
+      "mean_token_accuracy": 0.15076877027750016,
+      "num_tokens": 4749876.0,
+      "step": 2605
+    },
+    {
+      "entropy": 5.784313154220581,
+      "epoch": 2.1623860811930404,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00047690695521632344,
+      "loss": 5.4669,
+      "mean_token_accuracy": 0.16002854704856873,
+      "num_tokens": 4758721.0,
+      "step": 2610
+    },
+    {
+      "entropy": 5.6919313907623295,
+      "epoch": 2.1665285832642915,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047676573446948114,
+      "loss": 5.4832,
+      "mean_token_accuracy": 0.15925751626491547,
+      "num_tokens": 4767162.0,
+      "step": 2615
+    },
+    {
+      "entropy": 5.71550760269165,
+      "epoch": 2.1706710853355426,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047662410673910376,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.1629578560590744,
+      "num_tokens": 4776397.0,
+      "step": 2620
+    },
+    {
+      "entropy": 5.665811157226562,
+      "epoch": 2.1748135874067938,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047648207231087,
+      "loss": 5.4579,
+      "mean_token_accuracy": 0.15894875824451446,
+      "num_tokens": 4784822.0,
+      "step": 2625
+    },
+    {
+      "entropy": 5.71003270149231,
+      "epoch": 2.178956089478045,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004763396314712786,
+      "loss": 5.5297,
+      "mean_token_accuracy": 0.15831661075353623,
+      "num_tokens": 4794272.0,
+      "step": 2630
+    },
+    {
+      "entropy": 5.64026665687561,
+      "epoch": 2.183098591549296,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004761967845076484,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.15510014593601226,
+      "num_tokens": 4804314.0,
+      "step": 2635
+    },
+    {
+      "entropy": 5.6847330093383786,
+      "epoch": 2.1872410936205466,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004760535317081174,
+      "loss": 5.4694,
+      "mean_token_accuracy": 0.15845878273248673,
+      "num_tokens": 4812685.0,
+      "step": 2640
+    },
+    {
+      "entropy": 5.715235567092895,
+      "epoch": 2.1913835956917977,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047590987336164207,
+      "loss": 5.5532,
+      "mean_token_accuracy": 0.1562129870057106,
+      "num_tokens": 4821761.0,
+      "step": 2645
+    },
+    {
+      "entropy": 5.741413831710815,
+      "epoch": 2.195526097763049,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00047576580975799705,
+      "loss": 5.5307,
+      "mean_token_accuracy": 0.1623195379972458,
+      "num_tokens": 4830515.0,
+      "step": 2650
+    },
+    {
+      "entropy": 5.782008934020996,
+      "epoch": 2.1996685998343,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004756213411877743,
+      "loss": 5.5059,
+      "mean_token_accuracy": 0.14879967421293258,
+      "num_tokens": 4840741.0,
+      "step": 2655
+    },
+    {
+      "entropy": 5.612497425079345,
+      "epoch": 2.203811101905551,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047547646794238277,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.16198884546756745,
+      "num_tokens": 4849571.0,
+      "step": 2660
+    },
+    {
+      "entropy": 5.689143991470337,
+      "epoch": 2.207953603976802,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047533119031404757,
+      "loss": 5.4138,
+      "mean_token_accuracy": 0.1696420982480049,
+      "num_tokens": 4857194.0,
+      "step": 2665
+    },
+    {
+      "entropy": 5.632621717453003,
+      "epoch": 2.212096106048053,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00047518550859580966,
+      "loss": 5.5074,
+      "mean_token_accuracy": 0.1592964008450508,
+      "num_tokens": 4865894.0,
+      "step": 2670
+    },
+    {
+      "entropy": 5.74289755821228,
+      "epoch": 2.216238608119304,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004750394230815249,
+      "loss": 5.5268,
+      "mean_token_accuracy": 0.15829544067382811,
+      "num_tokens": 4875131.0,
+      "step": 2675
+    },
+    {
+      "entropy": 5.670539522171021,
+      "epoch": 2.220381110190555,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047489293406586375,
+      "loss": 5.3777,
+      "mean_token_accuracy": 0.1620385766029358,
+      "num_tokens": 4884098.0,
+      "step": 2680
+    },
+    {
+      "entropy": 5.657269620895386,
+      "epoch": 2.224523612261806,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004747460418443106,
+      "loss": 5.4373,
+      "mean_token_accuracy": 0.15941016003489494,
+      "num_tokens": 4892963.0,
+      "step": 2685
+    },
+    {
+      "entropy": 5.690485191345215,
+      "epoch": 2.2286661143330573,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047459874671316305,
+      "loss": 5.4903,
+      "mean_token_accuracy": 0.15749651044607163,
+      "num_tokens": 4902097.0,
+      "step": 2690
+    },
+    {
+      "entropy": 5.608357000350952,
+      "epoch": 2.2328086164043084,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00047445104896953153,
+      "loss": 5.4015,
+      "mean_token_accuracy": 0.16532779037952422,
+      "num_tokens": 4910469.0,
+      "step": 2695
+    },
+    {
+      "entropy": 5.82715744972229,
+      "epoch": 2.236951118475559,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047430294891133846,
+      "loss": 5.6892,
+      "mean_token_accuracy": 0.1501491665840149,
+      "num_tokens": 4921024.0,
+      "step": 2700
+    },
+    {
+      "entropy": 5.749764776229858,
+      "epoch": 2.24109362054681,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004741544468373179,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15474629402160645,
+      "num_tokens": 4930297.0,
+      "step": 2705
+    },
+    {
+      "entropy": 5.687776947021485,
+      "epoch": 2.2452361226180613,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00047400554304701474,
+      "loss": 5.4692,
+      "mean_token_accuracy": 0.16049361675977708,
+      "num_tokens": 4938971.0,
+      "step": 2710
+    },
+    {
+      "entropy": 5.571053695678711,
+      "epoch": 2.2493786246893124,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047385623784078427,
+      "loss": 5.4899,
+      "mean_token_accuracy": 0.15803302526474,
+      "num_tokens": 4948531.0,
+      "step": 2715
+    },
+    {
+      "entropy": 5.787879133224488,
+      "epoch": 2.2535211267605635,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004737065315197913,
+      "loss": 5.5664,
+      "mean_token_accuracy": 0.1587745025753975,
+      "num_tokens": 4957430.0,
+      "step": 2720
+    },
+    {
+      "entropy": 5.720958280563354,
+      "epoch": 2.2576636288318146,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047355642438600987,
+      "loss": 5.5478,
+      "mean_token_accuracy": 0.16044806241989135,
+      "num_tokens": 4966681.0,
+      "step": 2725
+    },
+    {
+      "entropy": 5.638753175735474,
+      "epoch": 2.2618061309030653,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004734059167422225,
+      "loss": 5.4123,
+      "mean_token_accuracy": 0.1639780133962631,
+      "num_tokens": 4975327.0,
+      "step": 2730
+    },
+    {
+      "entropy": 5.634887552261352,
+      "epoch": 2.2659486329743164,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047325500889201956,
+      "loss": 5.4725,
+      "mean_token_accuracy": 0.16207436099648476,
+      "num_tokens": 4983741.0,
+      "step": 2735
+    },
+    {
+      "entropy": 5.673438644409179,
+      "epoch": 2.2700911350455675,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004731037011397986,
+      "loss": 5.5662,
+      "mean_token_accuracy": 0.15884149968624114,
+      "num_tokens": 4993171.0,
+      "step": 2740
+    },
+    {
+      "entropy": 5.752307653427124,
+      "epoch": 2.2742336371168186,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047295199379076403,
+      "loss": 5.6,
+      "mean_token_accuracy": 0.15322241187095642,
+      "num_tokens": 5002810.0,
+      "step": 2745
+    },
+    {
+      "entropy": 5.7073346138000485,
+      "epoch": 2.2783761391880697,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000472799887150926,
+      "loss": 5.4893,
+      "mean_token_accuracy": 0.15741414427757264,
+      "num_tokens": 5011875.0,
+      "step": 2750
+    },
+    {
+      "entropy": 5.679959297180176,
+      "epoch": 2.282518641259321,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004726473815271003,
+      "loss": 5.5349,
+      "mean_token_accuracy": 0.15855301022529603,
+      "num_tokens": 5020780.0,
+      "step": 2755
+    },
+    {
+      "entropy": 5.669374132156372,
+      "epoch": 2.286661143330572,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047249447722690747,
+      "loss": 5.4331,
+      "mean_token_accuracy": 0.16046710908412934,
+      "num_tokens": 5029896.0,
+      "step": 2760
+    },
+    {
+      "entropy": 5.652454280853272,
+      "epoch": 2.2908036454018226,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047234117455877215,
+      "loss": 5.4932,
+      "mean_token_accuracy": 0.1545606277883053,
+      "num_tokens": 5038956.0,
+      "step": 2765
+    },
+    {
+      "entropy": 5.639697694778443,
+      "epoch": 2.2949461474730737,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004721874738319225,
+      "loss": 5.4594,
+      "mean_token_accuracy": 0.17258906960487366,
+      "num_tokens": 5047005.0,
+      "step": 2770
+    },
+    {
+      "entropy": 5.655842065811157,
+      "epoch": 2.299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004720333753563898,
+      "loss": 5.5008,
+      "mean_token_accuracy": 0.15116662830114364,
+      "num_tokens": 5056475.0,
+      "step": 2775
+    },
+    {
+      "entropy": 5.704644584655762,
+      "epoch": 2.303231151615576,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00047187887944300747,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16439782381057738,
+      "num_tokens": 5064978.0,
+      "step": 2780
+    },
+    {
+      "entropy": 5.726413679122925,
+      "epoch": 2.307373653686827,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004717239864034107,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.15506226867437362,
+      "num_tokens": 5074235.0,
+      "step": 2785
+    },
+    {
+      "entropy": 5.662968683242798,
+      "epoch": 2.3115161557580777,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047156869655003554,
+      "loss": 5.4481,
+      "mean_token_accuracy": 0.16141191571950914,
+      "num_tokens": 5082386.0,
+      "step": 2790
+    },
+    {
+      "entropy": 5.631324100494385,
+      "epoch": 2.315658657829329,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047141301019611875,
+      "loss": 5.4164,
+      "mean_token_accuracy": 0.16636510640382768,
+      "num_tokens": 5090634.0,
+      "step": 2795
+    },
+    {
+      "entropy": 5.818879795074463,
+      "epoch": 2.31980115990058,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004712569276556967,
+      "loss": 5.5906,
+      "mean_token_accuracy": 0.14937217235565187,
+      "num_tokens": 5099003.0,
+      "step": 2800
+    },
+    {
+      "entropy": 5.617757177352905,
+      "epoch": 2.323943661971831,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00047110044924360484,
+      "loss": 5.6681,
+      "mean_token_accuracy": 0.1565680392086506,
+      "num_tokens": 5108631.0,
+      "step": 2805
+    },
+    {
+      "entropy": 5.732515859603882,
+      "epoch": 2.328086164043082,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00047094357527547725,
+      "loss": 5.4545,
+      "mean_token_accuracy": 0.15828853249549865,
+      "num_tokens": 5117309.0,
+      "step": 2810
+    },
+    {
+      "entropy": 5.686485624313354,
+      "epoch": 2.332228666114333,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004707863060677459,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.1627561032772064,
+      "num_tokens": 5126305.0,
+      "step": 2815
+    },
+    {
+      "entropy": 5.821760654449463,
+      "epoch": 2.3363711681855843,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00047062864193764,
+      "loss": 5.6022,
+      "mean_token_accuracy": 0.15580221712589265,
+      "num_tokens": 5135338.0,
+      "step": 2820
+    },
+    {
+      "entropy": 5.676449155807495,
+      "epoch": 2.340513670256835,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047047058320318525,
+      "loss": 5.5298,
+      "mean_token_accuracy": 0.16162888556718827,
+      "num_tokens": 5144518.0,
+      "step": 2825
+    },
+    {
+      "entropy": 5.702890157699585,
+      "epoch": 2.344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004703121301832034,
+      "loss": 5.6262,
+      "mean_token_accuracy": 0.15101130157709122,
+      "num_tokens": 5154102.0,
+      "step": 2830
+    },
+    {
+      "entropy": 5.7891247272491455,
+      "epoch": 2.348798674399337,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047015328319731153,
+      "loss": 5.5642,
+      "mean_token_accuracy": 0.15612353384494781,
+      "num_tokens": 5163719.0,
+      "step": 2835
+    },
+    {
+      "entropy": 5.677855682373047,
+      "epoch": 2.3529411764705883,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004699940425659215,
+      "loss": 5.5247,
+      "mean_token_accuracy": 0.15519936084747316,
+      "num_tokens": 5173192.0,
+      "step": 2840
+    },
+    {
+      "entropy": 5.622324132919312,
+      "epoch": 2.3570836785418394,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00046983440861023877,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.1663823500275612,
+      "num_tokens": 5182438.0,
+      "step": 2845
+    },
+    {
+      "entropy": 5.699106454849243,
+      "epoch": 2.36122618061309,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046967438165226275,
+      "loss": 5.6015,
+      "mean_token_accuracy": 0.15352728664875032,
+      "num_tokens": 5191595.0,
+      "step": 2850
+    },
+    {
+      "entropy": 5.659265756607056,
+      "epoch": 2.365368682684341,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004695139620147851,
+      "loss": 5.4682,
+      "mean_token_accuracy": 0.1643056571483612,
+      "num_tokens": 5200174.0,
+      "step": 2855
+    },
+    {
+      "entropy": 5.713242053985596,
+      "epoch": 2.3695111847555923,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046935315002138994,
+      "loss": 5.5804,
+      "mean_token_accuracy": 0.15417435318231582,
+      "num_tokens": 5210454.0,
+      "step": 2860
+    },
+    {
+      "entropy": 5.727554702758789,
+      "epoch": 2.3736536868268434,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004691919459964525,
+      "loss": 5.5019,
+      "mean_token_accuracy": 0.16056040227413176,
+      "num_tokens": 5219243.0,
+      "step": 2865
+    },
+    {
+      "entropy": 5.5862212657928465,
+      "epoch": 2.3777961888980945,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046903035026513894,
+      "loss": 5.4319,
+      "mean_token_accuracy": 0.1613735228776932,
+      "num_tokens": 5228656.0,
+      "step": 2870
+    },
+    {
+      "entropy": 5.587289905548095,
+      "epoch": 2.3819386909693456,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004688683631534056,
+      "loss": 5.4859,
+      "mean_token_accuracy": 0.156366066634655,
+      "num_tokens": 5237807.0,
+      "step": 2875
+    },
+    {
+      "entropy": 5.775411653518677,
+      "epoch": 2.3860811930405967,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004687059849879981,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.1609719067811966,
+      "num_tokens": 5247432.0,
+      "step": 2880
+    },
+    {
+      "entropy": 5.597807741165161,
+      "epoch": 2.3902236951118474,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00046854321609645093,
+      "loss": 5.4145,
+      "mean_token_accuracy": 0.16111126840114592,
+      "num_tokens": 5256680.0,
+      "step": 2885
+    },
+    {
+      "entropy": 5.6380726337432865,
+      "epoch": 2.3943661971830985,
+      "grad_norm": 2.15625,
+      "learning_rate": 0.00046838005680708677,
+      "loss": 5.5296,
+      "mean_token_accuracy": 0.14821895360946655,
+      "num_tokens": 5266793.0,
+      "step": 2890
+    },
+    {
+      "entropy": 5.710390281677246,
+      "epoch": 2.3985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046821650744901573,
+      "loss": 5.4452,
+      "mean_token_accuracy": 0.15857197493314742,
+      "num_tokens": 5275028.0,
+      "step": 2895
+    },
+    {
+      "entropy": 5.598506593704224,
+      "epoch": 2.4026512013256007,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004680525683521347,
+      "loss": 5.5226,
+      "mean_token_accuracy": 0.1566852644085884,
+      "num_tokens": 5284162.0,
+      "step": 2900
+    },
+    {
+      "entropy": 5.757242631912232,
+      "epoch": 2.406793703396852,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004678882398471269,
+      "loss": 5.5911,
+      "mean_token_accuracy": 0.15474308133125306,
+      "num_tokens": 5293263.0,
+      "step": 2905
+    },
+    {
+      "entropy": 5.654598569869995,
+      "epoch": 2.4109362054681025,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046772352226546066,
+      "loss": 5.477,
+      "mean_token_accuracy": 0.1666618600487709,
+      "num_tokens": 5301373.0,
+      "step": 2910
+    },
+    {
+      "entropy": 5.643638467788696,
+      "epoch": 2.4150787075393536,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004675584159393895,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.15203802064061164,
+      "num_tokens": 5311009.0,
+      "step": 2915
+    },
+    {
+      "entropy": 5.699149656295776,
+      "epoch": 2.4192212096106047,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046739292120195083,
+      "loss": 5.5245,
+      "mean_token_accuracy": 0.16085631400346756,
+      "num_tokens": 5320341.0,
+      "step": 2920
+    },
+    {
+      "entropy": 5.642888498306275,
+      "epoch": 2.423363711681856,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004672270383869657,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1610630214214325,
+      "num_tokens": 5329250.0,
+      "step": 2925
+    },
+    {
+      "entropy": 5.62935357093811,
+      "epoch": 2.427506213753107,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004670607678290379,
+      "loss": 5.4471,
+      "mean_token_accuracy": 0.16571807861328125,
+      "num_tokens": 5336515.0,
+      "step": 2930
+    },
+    {
+      "entropy": 5.655415058135986,
+      "epoch": 2.431648715824358,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004668941098635532,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.1595415398478508,
+      "num_tokens": 5346043.0,
+      "step": 2935
+    },
+    {
+      "entropy": 5.642036104202271,
+      "epoch": 2.435791217895609,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00046672706482667897,
+      "loss": 5.4925,
+      "mean_token_accuracy": 0.15832271426916122,
+      "num_tokens": 5355124.0,
+      "step": 2940
+    },
+    {
+      "entropy": 5.647988367080688,
+      "epoch": 2.43993371996686,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004665596330553633,
+      "loss": 5.5051,
+      "mean_token_accuracy": 0.1597411409020424,
+      "num_tokens": 5364556.0,
+      "step": 2945
+    },
+    {
+      "entropy": 5.67459397315979,
+      "epoch": 2.444076222038111,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046639181488733445,
+      "loss": 5.5316,
+      "mean_token_accuracy": 0.15941161364316941,
+      "num_tokens": 5373778.0,
+      "step": 2950
+    },
+    {
+      "entropy": 5.725692987442017,
+      "epoch": 2.448218724109362,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004662236106610999,
+      "loss": 5.5123,
+      "mean_token_accuracy": 0.15816445648670197,
+      "num_tokens": 5382633.0,
+      "step": 2955
+    },
+    {
+      "entropy": 5.5606146335601805,
+      "epoch": 2.452361226180613,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00046605502071594604,
+      "loss": 5.4163,
+      "mean_token_accuracy": 0.16387673169374467,
+      "num_tokens": 5391442.0,
+      "step": 2960
+    },
+    {
+      "entropy": 5.569208765029908,
+      "epoch": 2.4565037282518642,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004658860453919371,
+      "loss": 5.4388,
+      "mean_token_accuracy": 0.1621423229575157,
+      "num_tokens": 5400504.0,
+      "step": 2965
+    },
+    {
+      "entropy": 5.587312078475952,
+      "epoch": 2.460646230323115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004657166850299149,
+      "loss": 5.4448,
+      "mean_token_accuracy": 0.16361159086227417,
+      "num_tokens": 5408939.0,
+      "step": 2970
+    },
+    {
+      "entropy": 5.629118537902832,
+      "epoch": 2.464788732394366,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004655469399714978,
+      "loss": 5.4722,
+      "mean_token_accuracy": 0.1575179159641266,
+      "num_tokens": 5418934.0,
+      "step": 2975
+    },
+    {
+      "entropy": 5.572103595733642,
+      "epoch": 2.468931234465617,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004653768105590799,
+      "loss": 5.4955,
+      "mean_token_accuracy": 0.16008511185646057,
+      "num_tokens": 5427894.0,
+      "step": 2980
+    },
+    {
+      "entropy": 5.683330011367798,
+      "epoch": 2.4730737365368682,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046520629713583115,
+      "loss": 5.5003,
+      "mean_token_accuracy": 0.1613202139735222,
+      "num_tokens": 5436830.0,
+      "step": 2985
+    },
+    {
+      "entropy": 5.597742080688477,
+      "epoch": 2.4772162386081193,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046503540004569555,
+      "loss": 5.4814,
+      "mean_token_accuracy": 0.16423845291137695,
+      "num_tokens": 5445504.0,
+      "step": 2990
+    },
+    {
+      "entropy": 5.679887342453003,
+      "epoch": 2.4813587406793705,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046486411963339125,
+      "loss": 5.5405,
+      "mean_token_accuracy": 0.15501321628689765,
+      "num_tokens": 5455378.0,
+      "step": 2995
+    },
+    {
+      "entropy": 5.712473011016845,
+      "epoch": 2.4855012427506216,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046469245624440955,
+      "loss": 5.6107,
+      "mean_token_accuracy": 0.1589423656463623,
+      "num_tokens": 5465334.0,
+      "step": 3000
+    },
+    {
+      "epoch": 2.4855012427506216,
+      "eval_entropy": 5.590163738234465,
+      "eval_loss": 5.965892314910889,
+      "eval_mean_token_accuracy": 0.14734836894947329,
+      "eval_num_tokens": 5465334.0,
+      "eval_runtime": 2.7526,
+      "eval_samples_per_second": 1361.234,
+      "eval_steps_per_second": 170.381,
+      "step": 3000
+    },
+    {
+      "entropy": 5.751126146316528,
+      "epoch": 2.4896437448218722,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046452041022501423,
+      "loss": 5.5858,
+      "mean_token_accuracy": 0.15555662512779236,
+      "num_tokens": 5475701.0,
+      "step": 3005
+    },
+    {
+      "entropy": 5.699931526184082,
+      "epoch": 2.4937862468931233,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004643479819222411,
+      "loss": 5.4828,
+      "mean_token_accuracy": 0.16229774355888366,
+      "num_tokens": 5485244.0,
+      "step": 3010
+    },
+    {
+      "entropy": 5.596950387954712,
+      "epoch": 2.4979287489643744,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046417517168389664,
+      "loss": 5.4434,
+      "mean_token_accuracy": 0.1682340309023857,
+      "num_tokens": 5493587.0,
+      "step": 3015
+    },
+    {
+      "entropy": 5.6203169345855715,
+      "epoch": 2.5020712510356256,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004640019798585581,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.15738681554794312,
+      "num_tokens": 5503117.0,
+      "step": 3020
+    },
+    {
+      "entropy": 5.762682390213013,
+      "epoch": 2.5062137531068767,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046382840679557233,
+      "loss": 5.5352,
+      "mean_token_accuracy": 0.16024575680494307,
+      "num_tokens": 5512742.0,
+      "step": 3025
+    },
+    {
+      "entropy": 5.647499704360962,
+      "epoch": 2.5103562551781273,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00046365445284505516,
+      "loss": 5.4968,
+      "mean_token_accuracy": 0.16166605204343795,
+      "num_tokens": 5521862.0,
+      "step": 3030
+    },
+    {
+      "entropy": 5.597900772094727,
+      "epoch": 2.5144987572493784,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.0004634801183578907,
+      "loss": 5.488,
+      "mean_token_accuracy": 0.1608501434326172,
+      "num_tokens": 5531244.0,
+      "step": 3035
+    },
+    {
+      "entropy": 5.655751419067383,
+      "epoch": 2.5186412593206295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046330540368573063,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15176820158958435,
+      "num_tokens": 5540786.0,
+      "step": 3040
+    },
+    {
+      "entropy": 5.7291028022766115,
+      "epoch": 2.5227837613918807,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046313030918099365,
+      "loss": 5.5224,
+      "mean_token_accuracy": 0.1602902241051197,
+      "num_tokens": 5549961.0,
+      "step": 3045
+    },
+    {
+      "entropy": 5.620108366012573,
+      "epoch": 2.5269262634631318,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00046295483519686437,
+      "loss": 5.4591,
+      "mean_token_accuracy": 0.16417455673217773,
+      "num_tokens": 5558941.0,
+      "step": 3050
+    },
+    {
+      "entropy": 5.644694232940674,
+      "epoch": 2.531068765534383,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046277898208729306,
+      "loss": 5.4673,
+      "mean_token_accuracy": 0.16716189235448836,
+      "num_tokens": 5567630.0,
+      "step": 3055
+    },
+    {
+      "entropy": 5.586954879760742,
+      "epoch": 2.535211267605634,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004626027502069947,
+      "loss": 5.4301,
+      "mean_token_accuracy": 0.16521373838186265,
+      "num_tokens": 5576430.0,
+      "step": 3060
+    },
+    {
+      "entropy": 5.650178289413452,
+      "epoch": 2.539353769676885,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046242613991144814,
+      "loss": 5.5444,
+      "mean_token_accuracy": 0.1609214127063751,
+      "num_tokens": 5584785.0,
+      "step": 3065
+    },
+    {
+      "entropy": 5.585511493682861,
+      "epoch": 2.5434962717481358,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046224915155689586,
+      "loss": 5.478,
+      "mean_token_accuracy": 0.16044741719961167,
+      "num_tokens": 5594583.0,
+      "step": 3070
+    },
+    {
+      "entropy": 5.638197040557861,
+      "epoch": 2.547638773819387,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046207178550034244,
+      "loss": 5.4306,
+      "mean_token_accuracy": 0.1608849883079529,
+      "num_tokens": 5603498.0,
+      "step": 3075
+    },
+    {
+      "entropy": 5.7161966323852536,
+      "epoch": 2.551781275890638,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004618940420995547,
+      "loss": 5.5685,
+      "mean_token_accuracy": 0.15440558269619942,
+      "num_tokens": 5613101.0,
+      "step": 3080
+    },
+    {
+      "entropy": 5.665849494934082,
+      "epoch": 2.555923777961889,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004617159217130606,
+      "loss": 5.5409,
+      "mean_token_accuracy": 0.1569191187620163,
+      "num_tokens": 5621821.0,
+      "step": 3085
+    },
+    {
+      "entropy": 5.711861181259155,
+      "epoch": 2.5600662800331397,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004615374247001483,
+      "loss": 5.5738,
+      "mean_token_accuracy": 0.15701586306095122,
+      "num_tokens": 5631006.0,
+      "step": 3090
+    },
+    {
+      "entropy": 5.674423551559448,
+      "epoch": 2.564208782104391,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004613585514208659,
+      "loss": 5.5295,
+      "mean_token_accuracy": 0.15232180580496787,
+      "num_tokens": 5640159.0,
+      "step": 3095
+    },
+    {
+      "entropy": 5.592060613632202,
+      "epoch": 2.568351284175642,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046117930223602016,
+      "loss": 5.4003,
+      "mean_token_accuracy": 0.1694741129875183,
+      "num_tokens": 5648369.0,
+      "step": 3100
+    },
+    {
+      "entropy": 5.5982965469360355,
+      "epoch": 2.572493786246893,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004609996775071765,
+      "loss": 5.459,
+      "mean_token_accuracy": 0.1591326355934143,
+      "num_tokens": 5657669.0,
+      "step": 3105
+    },
+    {
+      "entropy": 5.56780686378479,
+      "epoch": 2.576636288318144,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004608196775966575,
+      "loss": 5.5319,
+      "mean_token_accuracy": 0.1610974356532097,
+      "num_tokens": 5666601.0,
+      "step": 3110
+    },
+    {
+      "entropy": 5.639773225784301,
+      "epoch": 2.5807787903893953,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046063930286754267,
+      "loss": 5.4465,
+      "mean_token_accuracy": 0.16618527621030807,
+      "num_tokens": 5675243.0,
+      "step": 3115
+    },
+    {
+      "entropy": 5.56855001449585,
+      "epoch": 2.5849212924606464,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00046045855368366756,
+      "loss": 5.466,
+      "mean_token_accuracy": 0.1630399063229561,
+      "num_tokens": 5683646.0,
+      "step": 3120
+    },
+    {
+      "entropy": 5.682586193084717,
+      "epoch": 2.5890637945318975,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.000460277430409623,
+      "loss": 5.5129,
+      "mean_token_accuracy": 0.17162407487630843,
+      "num_tokens": 5693069.0,
+      "step": 3125
+    },
+    {
+      "entropy": 5.587219524383545,
+      "epoch": 2.593206296603148,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046009593341075444,
+      "loss": 5.3754,
+      "mean_token_accuracy": 0.16499391198158264,
+      "num_tokens": 5701527.0,
+      "step": 3130
+    },
+    {
+      "entropy": 5.561956834793091,
+      "epoch": 2.5973487986743993,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004599140630531612,
+      "loss": 5.5403,
+      "mean_token_accuracy": 0.15682477951049806,
+      "num_tokens": 5710379.0,
+      "step": 3135
+    },
+    {
+      "entropy": 5.69692587852478,
+      "epoch": 2.6014913007456504,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004597318197036956,
+      "loss": 5.4524,
+      "mean_token_accuracy": 0.1643553927540779,
+      "num_tokens": 5719217.0,
+      "step": 3140
+    },
+    {
+      "entropy": 5.629226970672607,
+      "epoch": 2.6056338028169015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004595492037299624,
+      "loss": 5.5535,
+      "mean_token_accuracy": 0.16214104294776915,
+      "num_tokens": 5728331.0,
+      "step": 3145
+    },
+    {
+      "entropy": 5.608061027526856,
+      "epoch": 2.6097763048881526,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045936621550031806,
+      "loss": 5.5107,
+      "mean_token_accuracy": 0.16073764860630035,
+      "num_tokens": 5737696.0,
+      "step": 3150
+    },
+    {
+      "entropy": 5.731885099411011,
+      "epoch": 2.6139188069594033,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045918285538386973,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.16164542436599733,
+      "num_tokens": 5746191.0,
+      "step": 3155
+    },
+    {
+      "entropy": 5.703127813339234,
+      "epoch": 2.6180613090306544,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00045899912375047485,
+      "loss": 5.5619,
+      "mean_token_accuracy": 0.1629435494542122,
+      "num_tokens": 5754824.0,
+      "step": 3160
+    },
+    {
+      "entropy": 5.638229656219482,
+      "epoch": 2.6222038111019055,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045881502097074023,
+      "loss": 5.537,
+      "mean_token_accuracy": 0.1518124133348465,
+      "num_tokens": 5764863.0,
+      "step": 3165
+    },
+    {
+      "entropy": 5.614318180084228,
+      "epoch": 2.6263463131731566,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004586305474160212,
+      "loss": 5.5459,
+      "mean_token_accuracy": 0.15642993301153182,
+      "num_tokens": 5774273.0,
+      "step": 3170
+    },
+    {
+      "entropy": 5.666326427459717,
+      "epoch": 2.6304888152444077,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045844570345842116,
+      "loss": 5.5044,
+      "mean_token_accuracy": 0.16042826995253562,
+      "num_tokens": 5784085.0,
+      "step": 3175
+    },
+    {
+      "entropy": 5.659371709823608,
+      "epoch": 2.634631317315659,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004582604894707906,
+      "loss": 5.5336,
+      "mean_token_accuracy": 0.16884370446205138,
+      "num_tokens": 5793921.0,
+      "step": 3180
+    },
+    {
+      "entropy": 5.664378356933594,
+      "epoch": 2.63877381938691,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00045807490582672634,
+      "loss": 5.4972,
+      "mean_token_accuracy": 0.15294444859027861,
+      "num_tokens": 5803902.0,
+      "step": 3185
+    },
+    {
+      "entropy": 5.542481708526611,
+      "epoch": 2.6429163214581606,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00045788895290057083,
+      "loss": 5.4129,
+      "mean_token_accuracy": 0.16788192689418793,
+      "num_tokens": 5812089.0,
+      "step": 3190
+    },
+    {
+      "entropy": 5.6802209377288815,
+      "epoch": 2.6470588235294117,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00045770263106741137,
+      "loss": 5.5784,
+      "mean_token_accuracy": 0.1578851893544197,
+      "num_tokens": 5821072.0,
+      "step": 3195
+    },
+    {
+      "entropy": 5.628516340255738,
+      "epoch": 2.651201325600663,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004575159407030797,
+      "loss": 5.4029,
+      "mean_token_accuracy": 0.16388181746006011,
+      "num_tokens": 5829725.0,
+      "step": 3200
+    },
+    {
+      "entropy": 5.500157403945923,
+      "epoch": 2.655343827671914,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004573288821841505,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16496249735355378,
+      "num_tokens": 5838153.0,
+      "step": 3205
+    },
+    {
+      "entropy": 5.616616106033325,
+      "epoch": 2.659486329743165,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004571414558879413,
+      "loss": 5.4409,
+      "mean_token_accuracy": 0.15448423773050307,
+      "num_tokens": 5847270.0,
+      "step": 3210
+    },
+    {
+      "entropy": 5.6490891456604,
+      "epoch": 2.6636288318144157,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004569536621925114,
+      "loss": 5.5472,
+      "mean_token_accuracy": 0.15474478006362916,
+      "num_tokens": 5855954.0,
+      "step": 3215
+    },
+    {
+      "entropy": 5.634416961669922,
+      "epoch": 2.667771333885667,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004567655014766612,
+      "loss": 5.4529,
+      "mean_token_accuracy": 0.16163208782672883,
+      "num_tokens": 5864435.0,
+      "step": 3220
+    },
+    {
+      "entropy": 5.624909925460815,
+      "epoch": 2.671913835956918,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004565769741199314,
+      "loss": 5.5135,
+      "mean_token_accuracy": 0.1572384186089039,
+      "num_tokens": 5873964.0,
+      "step": 3225
+    },
+    {
+      "entropy": 5.727962255477905,
+      "epoch": 2.676056338028169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045638808050260237,
+      "loss": 5.4648,
+      "mean_token_accuracy": 0.16628578454256057,
+      "num_tokens": 5882738.0,
+      "step": 3230
+    },
+    {
+      "entropy": 5.587652635574341,
+      "epoch": 2.68019884009942,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00045619882100569317,
+      "loss": 5.5925,
+      "mean_token_accuracy": 0.15854242593050002,
+      "num_tokens": 5891749.0,
+      "step": 3235
+    },
+    {
+      "entropy": 5.627515649795532,
+      "epoch": 2.684341342170671,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004560091960109608,
+      "loss": 5.5372,
+      "mean_token_accuracy": 0.15811603218317033,
+      "num_tokens": 5900551.0,
+      "step": 3240
+    },
+    {
+      "entropy": 5.661735343933105,
+      "epoch": 2.6884838442419223,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004558192059008996,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.1517203629016876,
+      "num_tokens": 5909254.0,
+      "step": 3245
+    },
+    {
+      "entropy": 5.599635648727417,
+      "epoch": 2.692626346313173,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004556288510587406,
+      "loss": 5.4987,
+      "mean_token_accuracy": 0.15817683488130568,
+      "num_tokens": 5918357.0,
+      "step": 3250
+    },
+    {
+      "entropy": 5.662895679473877,
+      "epoch": 2.696768848384424,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00045543813186845004,
+      "loss": 5.5021,
+      "mean_token_accuracy": 0.15579704195261002,
+      "num_tokens": 5927742.0,
+      "step": 3255
+    },
+    {
+      "entropy": 5.627440690994263,
+      "epoch": 2.700911350455675,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004552470487147294,
+      "loss": 5.5823,
+      "mean_token_accuracy": 0.1556493915617466,
+      "num_tokens": 5937025.0,
+      "step": 3260
+    },
+    {
+      "entropy": 5.70678014755249,
+      "epoch": 2.7050538525269263,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045505560198301443,
+      "loss": 5.5615,
+      "mean_token_accuracy": 0.15135139375925064,
+      "num_tokens": 5946176.0,
+      "step": 3265
+    },
+    {
+      "entropy": 5.659924745559692,
+      "epoch": 2.7091963545981774,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045486379205947396,
+      "loss": 5.5233,
+      "mean_token_accuracy": 0.1584411159157753,
+      "num_tokens": 5955550.0,
+      "step": 3270
+    },
+    {
+      "entropy": 5.594695281982422,
+      "epoch": 2.713338856669428,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004546716193310098,
+      "loss": 5.4541,
+      "mean_token_accuracy": 0.1651945412158966,
+      "num_tokens": 5964467.0,
+      "step": 3275
+    },
+    {
+      "entropy": 5.605531787872314,
+      "epoch": 2.717481358740679,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000454479084185255,
+      "loss": 5.4855,
+      "mean_token_accuracy": 0.1514287754893303,
+      "num_tokens": 5973906.0,
+      "step": 3280
+    },
+    {
+      "entropy": 5.696796035766601,
+      "epoch": 2.7216238608119303,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004542861870105743,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.15694239139556884,
+      "num_tokens": 5983701.0,
+      "step": 3285
+    },
+    {
+      "entropy": 5.623150444030761,
+      "epoch": 2.7257663628831814,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045409292819606224,
+      "loss": 5.4971,
+      "mean_token_accuracy": 0.16068210303783417,
+      "num_tokens": 5993367.0,
+      "step": 3290
+    },
+    {
+      "entropy": 5.646857404708863,
+      "epoch": 2.7299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045389930813154297,
+      "loss": 5.4519,
+      "mean_token_accuracy": 0.16334805637598038,
+      "num_tokens": 6003752.0,
+      "step": 3295
+    },
+    {
+      "entropy": 5.675233459472656,
+      "epoch": 2.7340513670256836,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004537053272075693,
+      "loss": 5.5263,
+      "mean_token_accuracy": 0.1621565416455269,
+      "num_tokens": 6012486.0,
+      "step": 3300
+    },
+    {
+      "entropy": 5.5136041164398195,
+      "epoch": 2.7381938690969347,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045351098581542204,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.163838130235672,
+      "num_tokens": 6020742.0,
+      "step": 3305
+    },
+    {
+      "entropy": 5.646917295455933,
+      "epoch": 2.742336371168186,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004533162843471089,
+      "loss": 5.5009,
+      "mean_token_accuracy": 0.15474170595407485,
+      "num_tokens": 6030248.0,
+      "step": 3310
+    },
+    {
+      "entropy": 5.632185411453247,
+      "epoch": 2.7464788732394365,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004531212231953641,
+      "loss": 5.5436,
+      "mean_token_accuracy": 0.15157791674137117,
+      "num_tokens": 6039293.0,
+      "step": 3315
+    },
+    {
+      "entropy": 5.587828540802002,
+      "epoch": 2.7506213753106876,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004529258027536473,
+      "loss": 5.4134,
+      "mean_token_accuracy": 0.16378402560949326,
+      "num_tokens": 6048081.0,
+      "step": 3320
+    },
+    {
+      "entropy": 5.673684549331665,
+      "epoch": 2.7547638773819387,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004527300234161428,
+      "loss": 5.5753,
+      "mean_token_accuracy": 0.15969255268573762,
+      "num_tokens": 6057549.0,
+      "step": 3325
+    },
+    {
+      "entropy": 5.646554040908813,
+      "epoch": 2.75890637945319,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004525338855777591,
+      "loss": 5.5589,
+      "mean_token_accuracy": 0.15469738617539405,
+      "num_tokens": 6067372.0,
+      "step": 3330
+    },
+    {
+      "entropy": 5.595069122314453,
+      "epoch": 2.7630488815244405,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045233738963412746,
+      "loss": 5.4181,
+      "mean_token_accuracy": 0.1717814713716507,
+      "num_tokens": 6075532.0,
+      "step": 3335
+    },
+    {
+      "entropy": 5.5924467086792,
+      "epoch": 2.7671913835956916,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045214053598160173,
+      "loss": 5.4439,
+      "mean_token_accuracy": 0.16404369622468948,
+      "num_tokens": 6084389.0,
+      "step": 3340
+    },
+    {
+      "entropy": 5.598109579086303,
+      "epoch": 2.7713338856669427,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045194332501725725,
+      "loss": 5.4706,
+      "mean_token_accuracy": 0.16428767740726472,
+      "num_tokens": 6093536.0,
+      "step": 3345
+    },
+    {
+      "entropy": 5.637304496765137,
+      "epoch": 2.775476387738194,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00045174575713889014,
+      "loss": 5.5167,
+      "mean_token_accuracy": 0.16573925465345382,
+      "num_tokens": 6102677.0,
+      "step": 3350
+    },
+    {
+      "entropy": 5.677533674240112,
+      "epoch": 2.779618889809445,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004515478327450164,
+      "loss": 5.5926,
+      "mean_token_accuracy": 0.156404609978199,
+      "num_tokens": 6112430.0,
+      "step": 3355
+    },
+    {
+      "entropy": 5.643227863311767,
+      "epoch": 2.783761391880696,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00045134955223487093,
+      "loss": 5.4889,
+      "mean_token_accuracy": 0.16630716919898986,
+      "num_tokens": 6121408.0,
+      "step": 3360
+    },
+    {
+      "entropy": 5.57972674369812,
+      "epoch": 2.787903893951947,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00045115091600840757,
+      "loss": 5.5188,
+      "mean_token_accuracy": 0.15800442099571227,
+      "num_tokens": 6131339.0,
+      "step": 3365
+    },
+    {
+      "entropy": 5.624274778366089,
+      "epoch": 2.7920463960231983,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00045095192446629697,
+      "loss": 5.4816,
+      "mean_token_accuracy": 0.16174803227186202,
+      "num_tokens": 6140590.0,
+      "step": 3370
+    },
+    {
+      "entropy": 5.704814815521241,
+      "epoch": 2.796188898094449,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000450752578009927,
+      "loss": 5.5621,
+      "mean_token_accuracy": 0.1653067871928215,
+      "num_tokens": 6149958.0,
+      "step": 3375
+    },
+    {
+      "entropy": 5.58657054901123,
+      "epoch": 2.8003314001657,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045055287704140115,
+      "loss": 5.4346,
+      "mean_token_accuracy": 0.15949429720640182,
+      "num_tokens": 6159411.0,
+      "step": 3380
+    },
+    {
+      "entropy": 5.595387983322143,
+      "epoch": 2.804473902236951,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004503528219635381,
+      "loss": 5.5138,
+      "mean_token_accuracy": 0.1545591250061989,
+      "num_tokens": 6169264.0,
+      "step": 3385
+    },
+    {
+      "entropy": 5.617677021026611,
+      "epoch": 2.8086164043082023,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004501524131798709,
+      "loss": 5.4826,
+      "mean_token_accuracy": 0.16332829892635345,
+      "num_tokens": 6178374.0,
+      "step": 3390
+    },
+    {
+      "entropy": 5.7183191776275635,
+      "epoch": 2.812758906379453,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000449951651094646,
+      "loss": 5.4697,
+      "mean_token_accuracy": 0.15537519603967667,
+      "num_tokens": 6186918.0,
+      "step": 3395
+    },
+    {
+      "entropy": 5.566522169113159,
+      "epoch": 2.816901408450704,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044975053611282217,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.1613329365849495,
+      "num_tokens": 6196400.0,
+      "step": 3400
+    },
+    {
+      "entropy": 5.514105558395386,
+      "epoch": 2.821043910521955,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004495490686400706,
+      "loss": 5.3941,
+      "mean_token_accuracy": 0.1649619847536087,
+      "num_tokens": 6204849.0,
+      "step": 3405
+    },
+    {
+      "entropy": 5.615210485458374,
+      "epoch": 2.8251864125932062,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00044934724908277313,
+      "loss": 5.4834,
+      "mean_token_accuracy": 0.16362717300653457,
+      "num_tokens": 6214121.0,
+      "step": 3410
+    },
+    {
+      "entropy": 5.654720067977905,
+      "epoch": 2.8293289146644574,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044914507784802184,
+      "loss": 5.4835,
+      "mean_token_accuracy": 0.16509974151849746,
+      "num_tokens": 6223163.0,
+      "step": 3415
+    },
+    {
+      "entropy": 5.641624307632446,
+      "epoch": 2.8334714167357085,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004489425553436182,
+      "loss": 5.5084,
+      "mean_token_accuracy": 0.15882937759160995,
+      "num_tokens": 6231581.0,
+      "step": 3420
+    },
+    {
+      "entropy": 5.659383153915405,
+      "epoch": 2.8376139188069596,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00044873968197807213,
+      "loss": 5.5838,
+      "mean_token_accuracy": 0.1599879801273346,
+      "num_tokens": 6240015.0,
+      "step": 3425
+    },
+    {
+      "entropy": 5.666435050964355,
+      "epoch": 2.8417564208782107,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044853645816060156,
+      "loss": 5.5979,
+      "mean_token_accuracy": 0.1532062940299511,
+      "num_tokens": 6249083.0,
+      "step": 3430
+    },
+    {
+      "entropy": 5.6627098560333256,
+      "epoch": 2.8458989229494613,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00044833288430113104,
+      "loss": 5.5496,
+      "mean_token_accuracy": 0.1654196172952652,
+      "num_tokens": 6258798.0,
+      "step": 3435
+    },
+    {
+      "entropy": 5.609176588058472,
+      "epoch": 2.8500414250207124,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00044812896081029136,
+      "loss": 5.4023,
+      "mean_token_accuracy": 0.16617698073387147,
+      "num_tokens": 6267819.0,
+      "step": 3440
+    },
+    {
+      "entropy": 5.626215600967408,
+      "epoch": 2.8541839270919636,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004479246880994183,
+      "loss": 5.4804,
+      "mean_token_accuracy": 0.15876610353589057,
+      "num_tokens": 6276915.0,
+      "step": 3445
+    },
+    {
+      "entropy": 5.627827167510986,
+      "epoch": 2.8583264291632147,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004477200665805525,
+      "loss": 5.5216,
+      "mean_token_accuracy": 0.15861138105392455,
+      "num_tokens": 6285880.0,
+      "step": 3450
+    },
+    {
+      "entropy": 5.6323963642120365,
+      "epoch": 2.8624689312344658,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00044751509666643777,
+      "loss": 5.6351,
+      "mean_token_accuracy": 0.14970673844218255,
+      "num_tokens": 6295408.0,
+      "step": 3455
+    },
+    {
+      "entropy": 5.6166990280151365,
+      "epoch": 2.8666114333057164,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044730977877052084,
+      "loss": 5.3753,
+      "mean_token_accuracy": 0.16562075018882752,
+      "num_tokens": 6304110.0,
+      "step": 3460
+    },
+    {
+      "entropy": 5.669659185409546,
+      "epoch": 2.8707539353769675,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00044710411330695045,
+      "loss": 5.5254,
+      "mean_token_accuracy": 0.15842530727386475,
+      "num_tokens": 6312577.0,
+      "step": 3465
+    },
+    {
+      "entropy": 5.738371801376343,
+      "epoch": 2.8748964374482187,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00044689810069057615,
+      "loss": 5.606,
+      "mean_token_accuracy": 0.15023296922445298,
+      "num_tokens": 6321766.0,
+      "step": 3470
+    },
+    {
+      "entropy": 5.642851161956787,
+      "epoch": 2.8790389395194698,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004466917413369479,
+      "loss": 5.5731,
+      "mean_token_accuracy": 0.151870658993721,
+      "num_tokens": 6330327.0,
+      "step": 3475
+    },
+    {
+      "entropy": 5.577242517471314,
+      "epoch": 2.883181441590721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004464850356623152,
+      "loss": 5.4926,
+      "mean_token_accuracy": 0.16011006087064744,
+      "num_tokens": 6339596.0,
+      "step": 3480
+    },
+    {
+      "entropy": 5.613158226013184,
+      "epoch": 2.887323943661972,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00044627798408362597,
+      "loss": 5.3986,
+      "mean_token_accuracy": 0.1670537531375885,
+      "num_tokens": 6348080.0,
+      "step": 3485
+    },
+    {
+      "entropy": 5.613135099411011,
+      "epoch": 2.891466445733223,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004460705870185258,
+      "loss": 5.5277,
+      "mean_token_accuracy": 0.15435466170310974,
+      "num_tokens": 6357725.0,
+      "step": 3490
+    },
+    {
+      "entropy": 5.627930736541748,
+      "epoch": 2.8956089478044738,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004458628448853572,
+      "loss": 5.4831,
+      "mean_token_accuracy": 0.16073092967271804,
+      "num_tokens": 6366821.0,
+      "step": 3495
+    },
+    {
+      "entropy": 5.729347085952758,
+      "epoch": 2.899751449875725,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004456547581031589,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.15560299083590506,
+      "num_tokens": 6375641.0,
+      "step": 3500
+    },
+    {
+      "epoch": 2.899751449875725,
+      "eval_entropy": 5.414937326394673,
+      "eval_loss": 5.899942874908447,
+      "eval_mean_token_accuracy": 0.15183768343569629,
+      "eval_num_tokens": 6375641.0,
+      "eval_runtime": 2.9583,
+      "eval_samples_per_second": 1266.605,
+      "eval_steps_per_second": 158.537,
+      "step": 3500
+    },
+    {
+      "entropy": 5.548971128463745,
+      "epoch": 2.903893951946976,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004454463270916646,
+      "loss": 5.404,
+      "mean_token_accuracy": 0.1680065542459488,
+      "num_tokens": 6384596.0,
+      "step": 3505
+    },
+    {
+      "entropy": 5.719941425323486,
+      "epoch": 2.908036454018227,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004452375522713023,
+      "loss": 5.7474,
+      "mean_token_accuracy": 0.14030246064066887,
+      "num_tokens": 6395048.0,
+      "step": 3510
+    },
+    {
+      "entropy": 5.643452119827271,
+      "epoch": 2.912178956089478,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004450284340631938,
+      "loss": 5.5762,
+      "mean_token_accuracy": 0.15520212948322296,
+      "num_tokens": 6404828.0,
+      "step": 3515
+    },
+    {
+      "entropy": 5.627139854431152,
+      "epoch": 2.916321458160729,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044481897288915334,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.16042221039533616,
+      "num_tokens": 6414670.0,
+      "step": 3520
+    },
+    {
+      "entropy": 5.474701166152954,
+      "epoch": 2.92046396023198,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044460916917168697,
+      "loss": 5.3896,
+      "mean_token_accuracy": 0.16453512459993364,
+      "num_tokens": 6423446.0,
+      "step": 3525
+    },
+    {
+      "entropy": 5.5396312236785885,
+      "epoch": 2.924606462303231,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004443990233339918,
+      "loss": 5.4655,
+      "mean_token_accuracy": 0.1552535504102707,
+      "num_tokens": 6433412.0,
+      "step": 3530
+    },
+    {
+      "entropy": 5.652051544189453,
+      "epoch": 2.928748964374482,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004441885357999548,
+      "loss": 5.444,
+      "mean_token_accuracy": 0.1643453508615494,
+      "num_tokens": 6443520.0,
+      "step": 3535
+    },
+    {
+      "entropy": 5.674185514450073,
+      "epoch": 2.9328914664457333,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004439777069941524,
+      "loss": 5.5527,
+      "mean_token_accuracy": 0.15431721061468123,
+      "num_tokens": 6452933.0,
+      "step": 3540
+    },
+    {
+      "entropy": 5.550513553619385,
+      "epoch": 2.9370339685169844,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044376653734184935,
+      "loss": 5.3908,
+      "mean_token_accuracy": 0.16788479536771775,
+      "num_tokens": 6462113.0,
+      "step": 3545
+    },
+    {
+      "entropy": 5.468146800994873,
+      "epoch": 2.9411764705882355,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004435550272689979,
+      "loss": 5.4246,
+      "mean_token_accuracy": 0.16583772748708725,
+      "num_tokens": 6471411.0,
+      "step": 3550
+    },
+    {
+      "entropy": 5.662385082244873,
+      "epoch": 2.945318972659486,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00044334317720223706,
+      "loss": 5.532,
+      "mean_token_accuracy": 0.1599032275378704,
+      "num_tokens": 6480682.0,
+      "step": 3555
+    },
+    {
+      "entropy": 5.678339672088623,
+      "epoch": 2.9494614747307373,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00044313098756889154,
+      "loss": 5.5754,
+      "mean_token_accuracy": 0.15587076246738435,
+      "num_tokens": 6490614.0,
+      "step": 3560
+    },
+    {
+      "entropy": 5.585533094406128,
+      "epoch": 2.9536039768019884,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004429184587969708,
+      "loss": 5.4273,
+      "mean_token_accuracy": 0.16405707746744155,
+      "num_tokens": 6499079.0,
+      "step": 3565
+    },
+    {
+      "entropy": 5.668995666503906,
+      "epoch": 2.9577464788732395,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004427055913151689,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.14727827310562133,
+      "num_tokens": 6508556.0,
+      "step": 3570
+    },
+    {
+      "entropy": 5.70610499382019,
+      "epoch": 2.9618889809444906,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004424923855528626,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.15901169627904893,
+      "num_tokens": 6517934.0,
+      "step": 3575
+    },
+    {
+      "entropy": 5.614701509475708,
+      "epoch": 2.9660314830157413,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004422788419401114,
+      "loss": 5.4321,
+      "mean_token_accuracy": 0.1702651560306549,
+      "num_tokens": 6526995.0,
+      "step": 3580
+    },
+    {
+      "entropy": 5.572284936904907,
+      "epoch": 2.9701739850869924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00044206496090765595,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1573972523212433,
+      "num_tokens": 6535264.0,
+      "step": 3585
+    },
+    {
+      "entropy": 5.610080623626709,
+      "epoch": 2.9743164871582435,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00044185074288691776,
+      "loss": 5.3994,
+      "mean_token_accuracy": 0.1746336281299591,
+      "num_tokens": 6544498.0,
+      "step": 3590
+    },
+    {
+      "entropy": 5.582769393920898,
+      "epoch": 2.9784589892294946,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044163618830999794,
+      "loss": 5.5098,
+      "mean_token_accuracy": 0.16030704230070114,
+      "num_tokens": 6554761.0,
+      "step": 3595
+    },
+    {
+      "entropy": 5.603819417953491,
+      "epoch": 2.9826014913007457,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044142129760967643,
+      "loss": 5.5614,
+      "mean_token_accuracy": 0.15714355707168579,
+      "num_tokens": 6564039.0,
+      "step": 3600
+    },
+    {
+      "entropy": 5.679829835891724,
+      "epoch": 2.986743993371997,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004412060712194115,
+      "loss": 5.5068,
+      "mean_token_accuracy": 0.15993095487356185,
+      "num_tokens": 6572559.0,
+      "step": 3605
+    },
+    {
+      "entropy": 5.589264869689941,
+      "epoch": 2.990886495443248,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004409905095733381,
+      "loss": 5.4931,
+      "mean_token_accuracy": 0.1612076446413994,
+      "num_tokens": 6581621.0,
+      "step": 3610
+    },
+    {
+      "entropy": 5.550649166107178,
+      "epoch": 2.995028997514499,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00044077461310626764,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.15403861105442046,
+      "num_tokens": 6590353.0,
+      "step": 3615
+    },
+    {
+      "entropy": 5.64892258644104,
+      "epoch": 2.9991714995857497,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000440558382253687,
+      "loss": 5.4575,
+      "mean_token_accuracy": 0.16497674435377122,
+      "num_tokens": 6598822.0,
+      "step": 3620
+    },
+    {
+      "entropy": 5.5967165470123295,
+      "epoch": 3.003314001657001,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004403418174517573,
+      "loss": 5.2529,
+      "mean_token_accuracy": 0.16683556884527206,
+      "num_tokens": 6606728.0,
+      "step": 3625
+    },
+    {
+      "entropy": 5.599476623535156,
+      "epoch": 3.007456503728252,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044012491913731353,
+      "loss": 5.1756,
+      "mean_token_accuracy": 0.1743481546640396,
+      "num_tokens": 6616226.0,
+      "step": 3630
+    },
+    {
+      "entropy": 5.5095573425292965,
+      "epoch": 3.011599005799503,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004399076877478632,
+      "loss": 5.0266,
+      "mean_token_accuracy": 0.1868550017476082,
+      "num_tokens": 6624801.0,
+      "step": 3635
+    },
+    {
+      "entropy": 5.60879430770874,
+      "epoch": 3.015741507870754,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004396901237215858,
+      "loss": 5.2209,
+      "mean_token_accuracy": 0.16688485741615294,
+      "num_tokens": 6633043.0,
+      "step": 3640
+    },
+    {
+      "entropy": 5.538025426864624,
+      "epoch": 3.019884009942005,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043947222749733173,
+      "loss": 5.1692,
+      "mean_token_accuracy": 0.17499702274799347,
+      "num_tokens": 6641197.0,
+      "step": 3645
+    },
+    {
+      "entropy": 5.586767101287842,
+      "epoch": 3.024026512013256,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043925399951462153,
+      "loss": 5.2064,
+      "mean_token_accuracy": 0.1801098555326462,
+      "num_tokens": 6650411.0,
+      "step": 3650
+    },
+    {
+      "entropy": 5.4191618919372555,
+      "epoch": 3.028169014084507,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004390354402136449,
+      "loss": 5.0903,
+      "mean_token_accuracy": 0.17804521024227143,
+      "num_tokens": 6659405.0,
+      "step": 3655
+    },
+    {
+      "entropy": 5.583788824081421,
+      "epoch": 3.032311516155758,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0004388165500352597,
+      "loss": 5.1642,
+      "mean_token_accuracy": 0.17557908743619918,
+      "num_tokens": 6667701.0,
+      "step": 3660
+    },
+    {
+      "entropy": 5.614604902267456,
+      "epoch": 3.036454018227009,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004385973294209915,
+      "loss": 5.1881,
+      "mean_token_accuracy": 0.17808027267456056,
+      "num_tokens": 6676801.0,
+      "step": 3665
+    },
+    {
+      "entropy": 5.457578706741333,
+      "epoch": 3.0405965202982603,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004383777788130321,
+      "loss": 5.083,
+      "mean_token_accuracy": 0.17836775481700898,
+      "num_tokens": 6686005.0,
+      "step": 3670
+    },
+    {
+      "entropy": 5.479088068008423,
+      "epoch": 3.044739022369511,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004381578986542393,
+      "loss": 5.0937,
+      "mean_token_accuracy": 0.17960153371095658,
+      "num_tokens": 6694884.0,
+      "step": 3675
+    },
+    {
+      "entropy": 5.501745700836182,
+      "epoch": 3.048881524440762,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004379376893881352,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.17827630788087845,
+      "num_tokens": 6703476.0,
+      "step": 3680
+    },
+    {
+      "entropy": 5.616245269775391,
+      "epoch": 3.053024026512013,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004377171514589059,
+      "loss": 5.2531,
+      "mean_token_accuracy": 0.1736731931567192,
+      "num_tokens": 6712576.0,
+      "step": 3685
+    },
+    {
+      "entropy": 5.398316955566406,
+      "epoch": 3.0571665285832643,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004374962853114007,
+      "loss": 5.0545,
+      "mean_token_accuracy": 0.18062082678079605,
+      "num_tokens": 6721532.0,
+      "step": 3690
+    },
+    {
+      "entropy": 5.480774354934693,
+      "epoch": 3.0613090306545154,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004372750913911306,
+      "loss": 5.1028,
+      "mean_token_accuracy": 0.18300070911645888,
+      "num_tokens": 6730055.0,
+      "step": 3695
+    },
+    {
+      "entropy": 5.446919918060303,
+      "epoch": 3.0654515327257665,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004370535701442679,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.17969694286584853,
+      "num_tokens": 6739310.0,
+      "step": 3700
+    },
+    {
+      "entropy": 5.54828953742981,
+      "epoch": 3.069594034797017,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043683172201764537,
+      "loss": 5.2581,
+      "mean_token_accuracy": 0.16716694980859756,
+      "num_tokens": 6748976.0,
+      "step": 3705
+    },
+    {
+      "entropy": 5.539231872558593,
+      "epoch": 3.0737365368682683,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004366095474587547,
+      "loss": 5.1044,
+      "mean_token_accuracy": 0.17598106861114501,
+      "num_tokens": 6758043.0,
+      "step": 3710
+    },
+    {
+      "entropy": 5.500854778289795,
+      "epoch": 3.0778790389395194,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00043638704691574646,
+      "loss": 5.163,
+      "mean_token_accuracy": 0.1786232903599739,
+      "num_tokens": 6767554.0,
+      "step": 3715
+    },
+    {
+      "entropy": 5.560473966598511,
+      "epoch": 3.0820215410107705,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004361642208374283,
+      "loss": 5.1882,
+      "mean_token_accuracy": 0.1666739672422409,
+      "num_tokens": 6776161.0,
+      "step": 3720
+    },
+    {
+      "entropy": 5.476630401611328,
+      "epoch": 3.0861640430820216,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043594106967326495,
+      "loss": 5.1169,
+      "mean_token_accuracy": 0.17555084377527236,
+      "num_tokens": 6785371.0,
+      "step": 3725
+    },
+    {
+      "entropy": 5.494755983352661,
+      "epoch": 3.0903065451532727,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00043571759387337665,
+      "loss": 5.1456,
+      "mean_token_accuracy": 0.1808715656399727,
+      "num_tokens": 6795242.0,
+      "step": 3730
+    },
+    {
+      "entropy": 5.591760492324829,
+      "epoch": 3.0944490472245234,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004354937938885385,
+      "loss": 5.2235,
+      "mean_token_accuracy": 0.17338325083255768,
+      "num_tokens": 6805423.0,
+      "step": 3735
+    },
+    {
+      "entropy": 5.464981889724731,
+      "epoch": 3.0985915492957745,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004352696701701796,
+      "loss": 5.1469,
+      "mean_token_accuracy": 0.17880967408418655,
+      "num_tokens": 6814377.0,
+      "step": 3740
+    },
+    {
+      "entropy": 5.448660278320313,
+      "epoch": 3.1027340513670256,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004350452231703819,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.18132367432117463,
+      "num_tokens": 6824025.0,
+      "step": 3745
+    },
+    {
+      "entropy": 5.550149536132812,
+      "epoch": 3.1068765534382767,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043482045334187954,
+      "loss": 5.1273,
+      "mean_token_accuracy": 0.18649032860994338,
+      "num_tokens": 6833071.0,
+      "step": 3750
+    },
+    {
+      "entropy": 5.442513799667358,
+      "epoch": 3.111019055509528,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043459536113805785,
+      "loss": 5.1076,
+      "mean_token_accuracy": 0.17443138360977173,
+      "num_tokens": 6841983.0,
+      "step": 3755
+    },
+    {
+      "entropy": 5.447629022598266,
+      "epoch": 3.115161557580779,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00043436994701295237,
+      "loss": 5.1043,
+      "mean_token_accuracy": 0.17914267033338546,
+      "num_tokens": 6851436.0,
+      "step": 3760
+    },
+    {
+      "entropy": 5.461205101013183,
+      "epoch": 3.1193040596520296,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00043414421142124804,
+      "loss": 5.1836,
+      "mean_token_accuracy": 0.1672696813941002,
+      "num_tokens": 6861810.0,
+      "step": 3765
+    },
+    {
+      "entropy": 5.478553342819214,
+      "epoch": 3.1234465617232807,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00043391815481827814,
+      "loss": 5.0639,
+      "mean_token_accuracy": 0.18850475996732713,
+      "num_tokens": 6870418.0,
+      "step": 3770
+    },
+    {
+      "entropy": 5.41155161857605,
+      "epoch": 3.127589063794532,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004336917776600237,
+      "loss": 5.0683,
+      "mean_token_accuracy": 0.18221812546253205,
+      "num_tokens": 6879419.0,
+      "step": 3775
+    },
+    {
+      "entropy": 5.435874891281128,
+      "epoch": 3.131731565865783,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004334650804031122,
+      "loss": 5.1852,
+      "mean_token_accuracy": 0.17172302156686783,
+      "num_tokens": 6888768.0,
+      "step": 3780
+    },
+    {
+      "entropy": 5.507850646972656,
+      "epoch": 3.135874067937034,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004332380635048165,
+      "loss": 5.1296,
+      "mean_token_accuracy": 0.17900288552045823,
+      "num_tokens": 6897133.0,
+      "step": 3785
+    },
+    {
+      "entropy": 5.485491752624512,
+      "epoch": 3.140016570008285,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00043301072742305474,
+      "loss": 5.1773,
+      "mean_token_accuracy": 0.17168077528476716,
+      "num_tokens": 6904976.0,
+      "step": 3790
+    },
+    {
+      "entropy": 5.537312364578247,
+      "epoch": 3.1441590720795363,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0004327830726163886,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.17883574068546296,
+      "num_tokens": 6915138.0,
+      "step": 3795
+    },
+    {
+      "entropy": 5.548703718185425,
+      "epoch": 3.148301574150787,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0004325550995440226,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.1752033144235611,
+      "num_tokens": 6923962.0,
+      "step": 3800
+    },
+    {
+      "entropy": 5.386642169952393,
+      "epoch": 3.152444076222038,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043232680866580356,
+      "loss": 5.1478,
+      "mean_token_accuracy": 0.17952724993228913,
+      "num_tokens": 6932102.0,
+      "step": 3805
+    },
+    {
+      "entropy": 5.464086627960205,
+      "epoch": 3.156586578293289,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00043209820044221893,
+      "loss": 5.153,
+      "mean_token_accuracy": 0.1785269558429718,
+      "num_tokens": 6940354.0,
+      "step": 3810
+    },
+    {
+      "entropy": 5.4963922023773195,
+      "epoch": 3.1607290803645403,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00043186927533439654,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.1716633692383766,
+      "num_tokens": 6949779.0,
+      "step": 3815
+    },
+    {
+      "entropy": 5.536400413513183,
+      "epoch": 3.1648715824357914,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043164003380410335,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.17445194274187087,
+      "num_tokens": 6958760.0,
+      "step": 3820
+    },
+    {
+      "entropy": 5.486375331878662,
+      "epoch": 3.169014084507042,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004314104763137445,
+      "loss": 5.1037,
+      "mean_token_accuracy": 0.18134674280881882,
+      "num_tokens": 6967535.0,
+      "step": 3825
+    },
+    {
+      "entropy": 5.469356393814087,
+      "epoch": 3.173156586578293,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043118060332636264,
+      "loss": 5.2036,
+      "mean_token_accuracy": 0.17774708271026612,
+      "num_tokens": 6976211.0,
+      "step": 3830
+    },
+    {
+      "entropy": 5.576221227645874,
+      "epoch": 3.1772990886495442,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043095041530563665,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.17325948774814606,
+      "num_tokens": 6986001.0,
+      "step": 3835
+    },
+    {
+      "entropy": 5.420689487457276,
+      "epoch": 3.1814415907207954,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00043071991271588104,
+      "loss": 5.2006,
+      "mean_token_accuracy": 0.18302187621593474,
+      "num_tokens": 6994568.0,
+      "step": 3840
+    },
+    {
+      "entropy": 5.52434401512146,
+      "epoch": 3.1855840927920465,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004304890960220446,
+      "loss": 5.2921,
+      "mean_token_accuracy": 0.16869494169950486,
+      "num_tokens": 7004744.0,
+      "step": 3845
+    },
+    {
+      "entropy": 5.520354557037353,
+      "epoch": 3.1897265948632976,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043025796568970975,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.1696591019630432,
+      "num_tokens": 7014315.0,
+      "step": 3850
+    },
+    {
+      "entropy": 5.523347425460815,
+      "epoch": 3.1938690969345487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043002652218509184,
+      "loss": 5.1172,
+      "mean_token_accuracy": 0.18450311720371246,
+      "num_tokens": 7022258.0,
+      "step": 3855
+    },
+    {
+      "entropy": 5.522213459014893,
+      "epoch": 3.1980115990057993,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004297947659750376,
+      "loss": 5.2587,
+      "mean_token_accuracy": 0.1674624815583229,
+      "num_tokens": 7031732.0,
+      "step": 3860
+    },
+    {
+      "entropy": 5.467557621002197,
+      "epoch": 3.2021541010770505,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004295626975270246,
+      "loss": 5.1818,
+      "mean_token_accuracy": 0.1766605108976364,
+      "num_tokens": 7040478.0,
+      "step": 3865
+    },
+    {
+      "entropy": 5.490935039520264,
+      "epoch": 3.2062966031483016,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00042933031730916024,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.18396904766559602,
+      "num_tokens": 7049360.0,
+      "step": 3870
+    },
+    {
+      "entropy": 5.5688018798828125,
+      "epoch": 3.2104391052195527,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000429097625790181,
+      "loss": 5.2267,
+      "mean_token_accuracy": 0.17498258501291275,
+      "num_tokens": 7059271.0,
+      "step": 3875
+    },
+    {
+      "entropy": 5.398471450805664,
+      "epoch": 3.2145816072908038,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004288646234394508,
+      "loss": 5.2177,
+      "mean_token_accuracy": 0.17296054661273957,
+      "num_tokens": 7069038.0,
+      "step": 3880
+    },
+    {
+      "entropy": 5.5407984256744385,
+      "epoch": 3.218724109362055,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00042863131072696115,
+      "loss": 5.1617,
+      "mean_token_accuracy": 0.17704827934503556,
+      "num_tokens": 7077971.0,
+      "step": 3885
+    },
+    {
+      "entropy": 5.4559561252594,
+      "epoch": 3.2228666114333056,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00042839768812332905,
+      "loss": 5.1612,
+      "mean_token_accuracy": 0.17406544089317322,
+      "num_tokens": 7086821.0,
+      "step": 3890
+    },
+    {
+      "entropy": 5.419722366333008,
+      "epoch": 3.2270091135045567,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000428163756099797,
+      "loss": 5.1859,
+      "mean_token_accuracy": 0.17225482910871506,
+      "num_tokens": 7095407.0,
+      "step": 3895
+    },
+    {
+      "entropy": 5.48249921798706,
+      "epoch": 3.2311516155758078,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004279295151282314,
+      "loss": 5.1116,
+      "mean_token_accuracy": 0.18240531533956528,
+      "num_tokens": 7103964.0,
+      "step": 3900
+    },
+    {
+      "entropy": 5.564240264892578,
+      "epoch": 3.235294117647059,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004276949656811217,
+      "loss": 5.251,
+      "mean_token_accuracy": 0.17079487890005113,
+      "num_tokens": 7113571.0,
+      "step": 3905
+    },
+    {
+      "entropy": 5.522033739089966,
+      "epoch": 3.23943661971831,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00042746010823158006,
+      "loss": 5.2738,
+      "mean_token_accuracy": 0.17067040055990218,
+      "num_tokens": 7122844.0,
+      "step": 3910
+    },
+    {
+      "entropy": 5.4324219703674315,
+      "epoch": 3.243579121789561,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042722494325333945,
+      "loss": 5.1326,
+      "mean_token_accuracy": 0.176889306306839,
+      "num_tokens": 7132123.0,
+      "step": 3915
+    },
+    {
+      "entropy": 5.458636379241943,
+      "epoch": 3.2477216238608118,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004269894712207533,
+      "loss": 5.1819,
+      "mean_token_accuracy": 0.18051923513412477,
+      "num_tokens": 7141068.0,
+      "step": 3920
+    },
+    {
+      "entropy": 5.43212571144104,
+      "epoch": 3.251864125932063,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004267536926087947,
+      "loss": 5.1925,
+      "mean_token_accuracy": 0.1708641156554222,
+      "num_tokens": 7150829.0,
+      "step": 3925
+    },
+    {
+      "entropy": 5.458031702041626,
+      "epoch": 3.256006628003314,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004265176078930545,
+      "loss": 5.1703,
+      "mean_token_accuracy": 0.17345706522464752,
+      "num_tokens": 7160814.0,
+      "step": 3930
+    },
+    {
+      "entropy": 5.498150825500488,
+      "epoch": 3.260149130074565,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00042628121754974166,
+      "loss": 5.2634,
+      "mean_token_accuracy": 0.17203340232372283,
+      "num_tokens": 7170085.0,
+      "step": 3935
+    },
+    {
+      "entropy": 5.590339422225952,
+      "epoch": 3.264291632145816,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004260445220556811,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.1736685037612915,
+      "num_tokens": 7179366.0,
+      "step": 3940
+    },
+    {
+      "entropy": 5.52174072265625,
+      "epoch": 3.2684341342170673,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00042580752188831376,
+      "loss": 5.2819,
+      "mean_token_accuracy": 0.17067586481571198,
+      "num_tokens": 7188342.0,
+      "step": 3945
+    },
+    {
+      "entropy": 5.556540441513062,
+      "epoch": 3.272576636288318,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004255702175256946,
+      "loss": 5.3095,
+      "mean_token_accuracy": 0.17531315684318544,
+      "num_tokens": 7197466.0,
+      "step": 3950
+    },
+    {
+      "entropy": 5.42687840461731,
+      "epoch": 3.276719138359569,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00042533260944649273,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17852312475442886,
+      "num_tokens": 7205462.0,
+      "step": 3955
+    },
+    {
+      "entropy": 5.424286890029907,
+      "epoch": 3.28086164043082,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004250946981299893,
+      "loss": 5.1838,
+      "mean_token_accuracy": 0.17682615667581558,
+      "num_tokens": 7215115.0,
+      "step": 3960
+    },
+    {
+      "entropy": 5.459038209915161,
+      "epoch": 3.2850041425020713,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00042485648405607776,
+      "loss": 5.1379,
+      "mean_token_accuracy": 0.17029522657394408,
+      "num_tokens": 7224909.0,
+      "step": 3965
+    },
+    {
+      "entropy": 5.392039203643799,
+      "epoch": 3.2891466445733224,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004246179677052617,
+      "loss": 5.0642,
+      "mean_token_accuracy": 0.18698266595602037,
+      "num_tokens": 7232946.0,
+      "step": 3970
+    },
+    {
+      "entropy": 5.362467432022095,
+      "epoch": 3.2932891466445735,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004243791495586547,
+      "loss": 5.1736,
+      "mean_token_accuracy": 0.17996304631233215,
+      "num_tokens": 7241104.0,
+      "step": 3975
+    },
+    {
+      "entropy": 5.567073392868042,
+      "epoch": 3.297431648715824,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004241400300979791,
+      "loss": 5.2257,
+      "mean_token_accuracy": 0.1786801502108574,
+      "num_tokens": 7250749.0,
+      "step": 3980
+    },
+    {
+      "entropy": 5.447740983963013,
+      "epoch": 3.3015741507870753,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004239006098055651,
+      "loss": 5.124,
+      "mean_token_accuracy": 0.1787547677755356,
+      "num_tokens": 7258687.0,
+      "step": 3985
+    },
+    {
+      "entropy": 5.41381049156189,
+      "epoch": 3.3057166528583264,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004236608891643494,
+      "loss": 5.1572,
+      "mean_token_accuracy": 0.17702401280403138,
+      "num_tokens": 7267316.0,
+      "step": 3990
+    },
+    {
+      "entropy": 5.448715782165527,
+      "epoch": 3.3098591549295775,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004234208686578748,
+      "loss": 5.1777,
+      "mean_token_accuracy": 0.17505329996347427,
+      "num_tokens": 7276734.0,
+      "step": 3995
+    },
+    {
+      "entropy": 5.440592193603516,
+      "epoch": 3.3140016570008286,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00042318054877028876,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17840310037136078,
+      "num_tokens": 7285916.0,
+      "step": 4000
+    },
+    {
+      "epoch": 3.3140016570008286,
+      "eval_entropy": 5.363256025416002,
+      "eval_loss": 5.893955707550049,
+      "eval_mean_token_accuracy": 0.15349840453819935,
+      "eval_num_tokens": 7285916.0,
+      "eval_runtime": 2.7471,
+      "eval_samples_per_second": 1363.961,
+      "eval_steps_per_second": 170.723,
+      "step": 4000
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 12060,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.086948315648e+16,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}
diff --git a/checkpoint-4000/training_args.bin b/checkpoint-4000/training_args.bin
new file mode 100644
index 0000000..47a7b32
--- /dev/null
+++ b/checkpoint-4000/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e406e906697be5d5c4bea7f90a038122ca162eb6b7e40512a32661ef55af9075
+size 6353
diff --git a/checkpoint-4500/added_tokens.json b/checkpoint-4500/added_tokens.json
new file mode 100644
index 0000000..b3dbcdb
--- /dev/null
+++ b/checkpoint-4500/added_tokens.json
@@ -0,0 +1,1202 @@
+{
+  "<pad>": 50002,
+  "[CLS]": 50000,
+  "[MASK]": 50003,
+  "[SEP]": 50001,
+  "[XXXXX0]": 50771,
+  "[XXXXX1000]": 50549,
+  "[XXXXX1001]": 50657,
+  "[XXXXX1002]": 51158,
+  "[XXXXX1003]": 51044,
+  "[XXXXX1004]": 50688,
+  "[XXXXX1005]": 50689,
+  "[XXXXX1006]": 50410,
+  "[XXXXX1007]": 50724,
+  "[XXXXX1008]": 50171,
+  "[XXXXX1009]": 51077,
+  "[XXXXX100]": 50091,
+  "[XXXXX1010]": 50639,
+  "[XXXXX1011]": 51094,
+  "[XXXXX1012]": 50392,
+  "[XXXXX1013]": 50626,
+  "[XXXXX1014]": 50991,
+  "[XXXXX1015]": 50529,
+  "[XXXXX1016]": 51193,
+  "[XXXXX1017]": 51073,
+  "[XXXXX1018]": 51104,
+  "[XXXXX1019]": 50775,
+  "[XXXXX101]": 50139,
+  "[XXXXX1020]": 50157,
+  "[XXXXX1021]": 50934,
+  "[XXXXX1022]": 51159,
+  "[XXXXX1023]": 50048,
+  "[XXXXX1024]": 51123,
+  "[XXXXX1025]": 50084,
+  "[XXXXX1026]": 50813,
+  "[XXXXX1027]": 50725,
+  "[XXXXX1028]": 50931,
+  "[XXXXX1029]": 50233,
+  "[XXXXX102]": 50213,
+  "[XXXXX1030]": 51023,
+  "[XXXXX1031]": 50098,
+  "[XXXXX1032]": 50802,
+  "[XXXXX1033]": 50061,
+  "[XXXXX1034]": 51139,
+  "[XXXXX1035]": 51110,
+  "[XXXXX1036]": 50204,
+  "[XXXXX1037]": 50023,
+  "[XXXXX1038]": 50142,
+  "[XXXXX1039]": 50328,
+  "[XXXXX103]": 50087,
+  "[XXXXX1040]": 50435,
+  "[XXXXX1041]": 50489,
+  "[XXXXX1042]": 50216,
+  "[XXXXX1043]": 50144,
+  "[XXXXX1044]": 50832,
+  "[XXXXX1045]": 50566,
+  "[XXXXX1046]": 50922,
+  "[XXXXX1047]": 50796,
+  "[XXXXX1048]": 50533,
+  "[XXXXX1049]": 50433,
+  "[XXXXX104]": 50478,
+  "[XXXXX1050]": 50953,
+  "[XXXXX1051]": 50497,
+  "[XXXXX1052]": 50655,
+  "[XXXXX1053]": 50881,
+  "[XXXXX1054]": 50461,
+  "[XXXXX1055]": 50052,
+  "[XXXXX1056]": 50219,
+  "[XXXXX1057]": 50789,
+  "[XXXXX1058]": 50121,
+  "[XXXXX1059]": 51002,
+  "[XXXXX105]": 51192,
+  "[XXXXX1060]": 50158,
+  "[XXXXX1061]": 50352,
+  "[XXXXX1062]": 50637,
+  "[XXXXX1063]": 50440,
+  "[XXXXX1064]": 50590,
+  "[XXXXX1065]": 51107,
+  "[XXXXX1066]": 50758,
+  "[XXXXX1067]": 51011,
+  "[XXXXX1068]": 50985,
+  "[XXXXX1069]": 51175,
+  "[XXXXX106]": 50532,
+  "[XXXXX1070]": 50790,
+  "[XXXXX1071]": 50394,
+  "[XXXXX1072]": 50852,
+  "[XXXXX1073]": 50869,
+  "[XXXXX1074]": 50126,
+  "[XXXXX1075]": 50783,
+  "[XXXXX1076]": 50806,
+  "[XXXXX1077]": 50882,
+  "[XXXXX1078]": 50726,
+  "[XXXXX1079]": 51010,
+  "[XXXXX107]": 50714,
+  "[XXXXX1080]": 50168,
+  "[XXXXX1081]": 50425,
+  "[XXXXX1082]": 50848,
+  "[XXXXX1083]": 50014,
+  "[XXXXX1084]": 50341,
+  "[XXXXX1085]": 50734,
+  "[XXXXX1086]": 50664,
+  "[XXXXX1087]": 51007,
+  "[XXXXX1088]": 51151,
+  "[XXXXX1089]": 50269,
+  "[XXXXX108]": 50996,
+  "[XXXXX1090]": 50826,
+  "[XXXXX1091]": 51105,
+  "[XXXXX1092]": 50731,
+  "[XXXXX1093]": 50856,
+  "[XXXXX1094]": 50369,
+  "[XXXXX1095]": 50065,
+  "[XXXXX1096]": 50309,
+  "[XXXXX1097]": 50838,
+  "[XXXXX1098]": 50451,
+  "[XXXXX1099]": 50384,
+  "[XXXXX109]": 50543,
+  "[XXXXX10]": 50325,
+  "[XXXXX1100]": 50318,
+  "[XXXXX1101]": 50764,
+  "[XXXXX1102]": 51025,
+  "[XXXXX1103]": 50642,
+  "[XXXXX1104]": 50665,
+  "[XXXXX1105]": 50855,
+  "[XXXXX1106]": 51063,
+  "[XXXXX1107]": 50025,
+  "[XXXXX1108]": 50122,
+  "[XXXXX1109]": 50470,
+  "[XXXXX110]": 50062,
+  "[XXXXX1110]": 51019,
+  "[XXXXX1111]": 51124,
+  "[XXXXX1112]": 50146,
+  "[XXXXX1113]": 51125,
+  "[XXXXX1114]": 50434,
+  "[XXXXX1115]": 50818,
+  "[XXXXX1116]": 50960,
+  "[XXXXX1117]": 50258,
+  "[XXXXX1118]": 50596,
+  "[XXXXX1119]": 50083,
+  "[XXXXX111]": 51064,
+  "[XXXXX1120]": 50915,
+  "[XXXXX1121]": 50835,
+  "[XXXXX1122]": 51056,
+  "[XXXXX1123]": 50172,
+  "[XXXXX1124]": 50972,
+  "[XXXXX1125]": 50275,
+  "[XXXXX1126]": 50430,
+  "[XXXXX1127]": 50743,
+  "[XXXXX1128]": 50551,
+  "[XXXXX1129]": 50439,
+  "[XXXXX112]": 50819,
+  "[XXXXX1130]": 50536,
+  "[XXXXX1131]": 50622,
+  "[XXXXX1132]": 50623,
+  "[XXXXX1133]": 50117,
+  "[XXXXX1134]": 50251,
+  "[XXXXX1135]": 50678,
+  "[XXXXX1136]": 50316,
+  "[XXXXX1137]": 50905,
+  "[XXXXX1138]": 50992,
+  "[XXXXX1139]": 50851,
+  "[XXXXX113]": 50443,
+  "[XXXXX1140]": 50499,
+  "[XXXXX1141]": 50629,
+  "[XXXXX1142]": 50944,
+  "[XXXXX1143]": 50373,
+  "[XXXXX1144]": 50123,
+  "[XXXXX1145]": 50173,
+  "[XXXXX1146]": 50891,
+  "[XXXXX1147]": 50471,
+  "[XXXXX1148]": 50560,
+  "[XXXXX1149]": 50541,
+  "[XXXXX114]": 50631,
+  "[XXXXX1150]": 50033,
+  "[XXXXX1151]": 50063,
+  "[XXXXX1152]": 50767,
+  "[XXXXX1153]": 50897,
+  "[XXXXX1154]": 50568,
+  "[XXXXX1155]": 51131,
+  "[XXXXX1156]": 50009,
+  "[XXXXX1157]": 50417,
+  "[XXXXX1158]": 50477,
+  "[XXXXX1159]": 50941,
+  "[XXXXX115]": 50294,
+  "[XXXXX1160]": 50679,
+  "[XXXXX1161]": 51108,
+  "[XXXXX1162]": 50332,
+  "[XXXXX1163]": 50424,
+  "[XXXXX1164]": 50473,
+  "[XXXXX1165]": 50793,
+  "[XXXXX1166]": 50453,
+  "[XXXXX1167]": 50807,
+  "[XXXXX1168]": 50128,
+  "[XXXXX1169]": 50039,
+  "[XXXXX116]": 50759,
+  "[XXXXX1170]": 50735,
+  "[XXXXX1171]": 50366,
+  "[XXXXX1172]": 50808,
+  "[XXXXX1173]": 50426,
+  "[XXXXX1174]": 50076,
+  "[XXXXX1175]": 50943,
+  "[XXXXX1176]": 50252,
+  "[XXXXX1177]": 50999,
+  "[XXXXX1178]": 50264,
+  "[XXXXX1179]": 50607,
+  "[XXXXX117]": 51036,
+  "[XXXXX1180]": 50986,
+  "[XXXXX1181]": 50744,
+  "[XXXXX1182]": 50186,
+  "[XXXXX1183]": 50555,
+  "[XXXXX1184]": 51076,
+  "[XXXXX1185]": 50849,
+  "[XXXXX1186]": 51128,
+  "[XXXXX1187]": 50858,
+  "[XXXXX1188]": 50656,
+  "[XXXXX1189]": 50064,
+  "[XXXXX118]": 50081,
+  "[XXXXX1190]": 51197,
+  "[XXXXX1191]": 50104,
+  "[XXXXX1192]": 50045,
+  "[XXXXX1193]": 50404,
+  "[XXXXX1194]": 50690,
+  "[XXXXX1195]": 50495,
+  "[XXXXX119]": 50108,
+  "[XXXXX11]": 50976,
+  "[XXXXX120]": 51081,
+  "[XXXXX121]": 50464,
+  "[XXXXX122]": 50829,
+  "[XXXXX123]": 50766,
+  "[XXXXX124]": 50732,
+  "[XXXXX125]": 50221,
+  "[XXXXX126]": 50810,
+  "[XXXXX127]": 50130,
+  "[XXXXX128]": 50751,
+  "[XXXXX129]": 50662,
+  "[XXXXX12]": 50602,
+  "[XXXXX130]": 50035,
+  "[XXXXX131]": 50715,
+  "[XXXXX132]": 50340,
+  "[XXXXX133]": 50563,
+  "[XXXXX134]": 50993,
+  "[XXXXX135]": 50304,
+  "[XXXXX136]": 50131,
+  "[XXXXX137]": 50578,
+  "[XXXXX138]": 50757,
+  "[XXXXX139]": 50582,
+  "[XXXXX13]": 50105,
+  "[XXXXX140]": 50085,
+  "[XXXXX141]": 50553,
+  "[XXXXX142]": 50749,
+  "[XXXXX143]": 50351,
+  "[XXXXX144]": 51024,
+  "[XXXXX145]": 51144,
+  "[XXXXX146]": 50042,
+  "[XXXXX147]": 50145,
+  "[XXXXX148]": 50066,
+  "[XXXXX149]": 50876,
+  "[XXXXX14]": 51006,
+  "[XXXXX150]": 50280,
+  "[XXXXX151]": 50093,
+  "[XXXXX152]": 50638,
+  "[XXXXX153]": 50684,
+  "[XXXXX154]": 50820,
+  "[XXXXX155]": 51196,
+  "[XXXXX156]": 50317,
+  "[XXXXX157]": 50284,
+  "[XXXXX158]": 50288,
+  "[XXXXX159]": 50814,
+  "[XXXXX15]": 50608,
+  "[XXXXX160]": 50004,
+  "[XXXXX161]": 50008,
+  "[XXXXX162]": 50377,
+  "[XXXXX163]": 50214,
+  "[XXXXX164]": 50708,
+  "[XXXXX165]": 50390,
+  "[XXXXX166]": 50741,
+  "[XXXXX167]": 50445,
+  "[XXXXX168]": 50936,
+  "[XXXXX169]": 50896,
+  "[XXXXX16]": 50442,
+  "[XXXXX170]": 50109,
+  "[XXXXX171]": 50140,
+  "[XXXXX172]": 50427,
+  "[XXXXX173]": 51074,
+  "[XXXXX174]": 50162,
+  "[XXXXX175]": 51015,
+  "[XXXXX176]": 50524,
+  "[XXXXX177]": 50673,
+  "[XXXXX178]": 50054,
+  "[XXXXX179]": 50805,
+  "[XXXXX17]": 50482,
+  "[XXXXX180]": 50253,
+  "[XXXXX181]": 50493,
+  "[XXXXX182]": 50421,
+  "[XXXXX183]": 51050,
+  "[XXXXX184]": 50521,
+  "[XXXXX185]": 50188,
+  "[XXXXX186]": 50147,
+  "[XXXXX187]": 50201,
+  "[XXXXX188]": 50973,
+  "[XXXXX189]": 50409,
+  "[XXXXX18]": 50115,
+  "[XXXXX190]": 50051,
+  "[XXXXX191]": 51020,
+  "[XXXXX192]": 51047,
+  "[XXXXX193]": 50669,
+  "[XXXXX194]": 50643,
+  "[XXXXX195]": 50159,
+  "[XXXXX196]": 50649,
+  "[XXXXX197]": 51178,
+  "[XXXXX198]": 50043,
+  "[XXXXX199]": 51147,
+  "[XXXXX19]": 51127,
+  "[XXXXX1]": 51114,
+  "[XXXXX200]": 50840,
+  "[XXXXX201]": 50365,
+  "[XXXXX202]": 50232,
+  "[XXXXX203]": 50241,
+  "[XXXXX204]": 50548,
+  "[XXXXX205]": 50781,
+  "[XXXXX206]": 50923,
+  "[XXXXX207]": 51115,
+  "[XXXXX208]": 50344,
+  "[XXXXX209]": 50299,
+  "[XXXXX20]": 51031,
+  "[XXXXX210]": 51179,
+  "[XXXXX211]": 51163,
+  "[XXXXX212]": 50562,
+  "[XXXXX213]": 50094,
+  "[XXXXX214]": 50257,
+  "[XXXXX215]": 50967,
+  "[XXXXX216]": 50523,
+  "[XXXXX217]": 51132,
+  "[XXXXX218]": 51146,
+  "[XXXXX219]": 50411,
+  "[XXXXX21]": 50354,
+  "[XXXXX220]": 50853,
+  "[XXXXX221]": 50886,
+  "[XXXXX222]": 50600,
+  "[XXXXX223]": 50873,
+  "[XXXXX224]": 50416,
+  "[XXXXX225]": 50675,
+  "[XXXXX226]": 50583,
+  "[XXXXX227]": 50151,
+  "[XXXXX228]": 50927,
+  "[XXXXX229]": 50609,
+  "[XXXXX22]": 50589,
+  "[XXXXX230]": 50238,
+  "[XXXXX231]": 50242,
+  "[XXXXX232]": 51016,
+  "[XXXXX233]": 50406,
+  "[XXXXX234]": 50908,
+  "[XXXXX235]": 50024,
+  "[XXXXX236]": 50270,
+  "[XXXXX237]": 50132,
+  "[XXXXX238]": 50800,
+  "[XXXXX239]": 50236,
+  "[XXXXX23]": 50007,
+  "[XXXXX240]": 50005,
+  "[XXXXX241]": 50894,
+  "[XXXXX242]": 50694,
+  "[XXXXX243]": 51071,
+  "[XXXXX244]": 51017,
+  "[XXXXX245]": 50068,
+  "[XXXXX246]": 50682,
+  "[XXXXX247]": 50913,
+  "[XXXXX248]": 51028,
+  "[XXXXX249]": 50037,
+  "[XXXXX24]": 51169,
+  "[XXXXX250]": 50747,
+  "[XXXXX251]": 50947,
+  "[XXXXX252]": 50329,
+  "[XXXXX253]": 50612,
+  "[XXXXX254]": 50110,
+  "[XXXXX255]": 50824,
+  "[XXXXX256]": 50558,
+  "[XXXXX257]": 50969,
+  "[XXXXX258]": 50729,
+  "[XXXXX259]": 50125,
+  "[XXXXX25]": 51160,
+  "[XXXXX260]": 50040,
+  "[XXXXX261]": 51038,
+  "[XXXXX262]": 50347,
+  "[XXXXX263]": 50740,
+  "[XXXXX264]": 51195,
+  "[XXXXX265]": 50879,
+  "[XXXXX266]": 50770,
+  "[XXXXX267]": 50178,
+  "[XXXXX268]": 50804,
+  "[XXXXX269]": 50906,
+  "[XXXXX26]": 50150,
+  "[XXXXX270]": 51191,
+  "[XXXXX271]": 50047,
+  "[XXXXX272]": 50195,
+  "[XXXXX273]": 50554,
+  "[XXXXX274]": 50833,
+  "[XXXXX275]": 50346,
+  "[XXXXX276]": 50950,
+  "[XXXXX277]": 50864,
+  "[XXXXX278]": 50259,
+  "[XXXXX279]": 50671,
+  "[XXXXX27]": 50468,
+  "[XXXXX280]": 50082,
+  "[XXXXX281]": 50565,
+  "[XXXXX282]": 50984,
+  "[XXXXX283]": 50650,
+  "[XXXXX284]": 50975,
+  "[XXXXX285]": 50603,
+  "[XXXXX286]": 50027,
+  "[XXXXX287]": 50181,
+  "[XXXXX288]": 50981,
+  "[XXXXX289]": 50885,
+  "[XXXXX28]": 50249,
+  "[XXXXX290]": 50522,
+  "[XXXXX291]": 50050,
+  "[XXXXX292]": 50313,
+  "[XXXXX293]": 50503,
+  "[XXXXX294]": 51176,
+  "[XXXXX295]": 51177,
+  "[XXXXX296]": 50379,
+  "[XXXXX297]": 50635,
+  "[XXXXX298]": 50723,
+  "[XXXXX299]": 50200,
+  "[XXXXX29]": 50892,
+  "[XXXXX2]": 51119,
+  "[XXXXX300]": 51026,
+  "[XXXXX301]": 50528,
+  "[XXXXX302]": 51149,
+  "[XXXXX303]": 50044,
+  "[XXXXX304]": 50209,
+  "[XXXXX305]": 50988,
+  "[XXXXX306]": 50518,
+  "[XXXXX307]": 50088,
+  "[XXXXX308]": 50733,
+  "[XXXXX309]": 51066,
+  "[XXXXX30]": 50506,
+  "[XXXXX310]": 50285,
+  "[XXXXX311]": 50859,
+  "[XXXXX312]": 50263,
+  "[XXXXX313]": 50594,
+  "[XXXXX314]": 51103,
+  "[XXXXX315]": 50871,
+  "[XXXXX316]": 50300,
+  "[XXXXX317]": 50760,
+  "[XXXXX318]": 50055,
+  "[XXXXX319]": 50389,
+  "[XXXXX31]": 50212,
+  "[XXXXX320]": 50444,
+  "[XXXXX321]": 50994,
+  "[XXXXX322]": 50281,
+  "[XXXXX323]": 50179,
+  "[XXXXX324]": 50455,
+  "[XXXXX325]": 50970,
+  "[XXXXX326]": 50666,
+  "[XXXXX327]": 50604,
+  "[XXXXX328]": 50627,
+  "[XXXXX329]": 50475,
+  "[XXXXX32]": 50277,
+  "[XXXXX330]": 50667,
+  "[XXXXX331]": 50348,
+  "[XXXXX332]": 50772,
+  "[XXXXX333]": 50163,
+  "[XXXXX334]": 50569,
+  "[XXXXX335]": 50018,
+  "[XXXXX336]": 50883,
+  "[XXXXX337]": 50067,
+  "[XXXXX338]": 51184,
+  "[XXXXX339]": 50997,
+  "[XXXXX33]": 50403,
+  "[XXXXX340]": 51013,
+  "[XXXXX341]": 50957,
+  "[XXXXX342]": 51106,
+  "[XXXXX343]": 51174,
+  "[XXXXX344]": 50391,
+  "[XXXXX345]": 50948,
+  "[XXXXX346]": 50180,
+  "[XXXXX347]": 50811,
+  "[XXXXX348]": 50401,
+  "[XXXXX349]": 50911,
+  "[XXXXX34]": 50223,
+  "[XXXXX350]": 51089,
+  "[XXXXX351]": 50777,
+  "[XXXXX352]": 50189,
+  "[XXXXX353]": 50492,
+  "[XXXXX354]": 50205,
+  "[XXXXX355]": 50374,
+  "[XXXXX356]": 51152,
+  "[XXXXX357]": 50695,
+  "[XXXXX358]": 51117,
+  "[XXXXX359]": 50573,
+  "[XXXXX35]": 50752,
+  "[XXXXX360]": 50955,
+  "[XXXXX361]": 50349,
+  "[XXXXX362]": 51137,
+  "[XXXXX363]": 50641,
+  "[XXXXX364]": 51148,
+  "[XXXXX365]": 50255,
+  "[XXXXX366]": 50310,
+  "[XXXXX367]": 50314,
+  "[XXXXX368]": 50971,
+  "[XXXXX369]": 50916,
+  "[XXXXX36]": 50437,
+  "[XXXXX370]": 51096,
+  "[XXXXX371]": 50557,
+  "[XXXXX372]": 51095,
+  "[XXXXX373]": 50382,
+  "[XXXXX374]": 50119,
+  "[XXXXX375]": 50958,
+  "[XXXXX376]": 50624,
+  "[XXXXX377]": 50483,
+  "[XXXXX378]": 50605,
+  "[XXXXX379]": 50017,
+  "[XXXXX37]": 50706,
+  "[XXXXX380]": 50246,
+  "[XXXXX381]": 50588,
+  "[XXXXX382]": 51008,
+  "[XXXXX383]": 50801,
+  "[XXXXX384]": 50290,
+  "[XXXXX385]": 50899,
+  "[XXXXX386]": 50206,
+  "[XXXXX387]": 50716,
+  "[XXXXX388]": 51082,
+  "[XXXXX389]": 50177,
+  "[XXXXX38]": 50736,
+  "[XXXXX390]": 50282,
+  "[XXXXX391]": 51183,
+  "[XXXXX392]": 50286,
+  "[XXXXX393]": 50659,
+  "[XXXXX394]": 50378,
+  "[XXXXX395]": 50709,
+  "[XXXXX396]": 50028,
+  "[XXXXX397]": 50235,
+  "[XXXXX398]": 51014,
+  "[XXXXX399]": 50880,
+  "[XXXXX39]": 50305,
+  "[XXXXX3]": 50077,
+  "[XXXXX400]": 50155,
+  "[XXXXX401]": 50710,
+  "[XXXXX402]": 50507,
+  "[XXXXX403]": 50860,
+  "[XXXXX404]": 50661,
+  "[XXXXX405]": 51083,
+  "[XXXXX406]": 50888,
+  "[XXXXX407]": 50069,
+  "[XXXXX408]": 50691,
+  "[XXXXX409]": 51055,
+  "[XXXXX40]": 50337,
+  "[XXXXX410]": 50137,
+  "[XXXXX411]": 50791,
+  "[XXXXX412]": 50136,
+  "[XXXXX413]": 50730,
+  "[XXXXX414]": 50267,
+  "[XXXXX415]": 50012,
+  "[XXXXX416]": 50681,
+  "[XXXXX417]": 50942,
+  "[XXXXX418]": 50720,
+  "[XXXXX419]": 50844,
+  "[XXXXX41]": 50387,
+  "[XXXXX420]": 50111,
+  "[XXXXX421]": 51003,
+  "[XXXXX422]": 50785,
+  "[XXXXX423]": 50149,
+  "[XXXXX424]": 50422,
+  "[XXXXX425]": 51086,
+  "[XXXXX426]": 50862,
+  "[XXXXX427]": 50576,
+  "[XXXXX428]": 51049,
+  "[XXXXX429]": 50630,
+  "[XXXXX42]": 50799,
+  "[XXXXX430]": 50289,
+  "[XXXXX431]": 50184,
+  "[XXXXX432]": 50319,
+  "[XXXXX433]": 51116,
+  "[XXXXX434]": 50519,
+  "[XXXXX435]": 50496,
+  "[XXXXX436]": 50517,
+  "[XXXXX437]": 50865,
+  "[XXXXX438]": 50737,
+  "[XXXXX439]": 50356,
+  "[XXXXX43]": 50359,
+  "[XXXXX440]": 50898,
+  "[XXXXX441]": 50113,
+  "[XXXXX442]": 50527,
+  "[XXXXX443]": 50762,
+  "[XXXXX444]": 50540,
+  "[XXXXX445]": 50925,
+  "[XXXXX446]": 50711,
+  "[XXXXX447]": 50143,
+  "[XXXXX448]": 51170,
+  "[XXXXX449]": 50413,
+  "[XXXXX44]": 50097,
+  "[XXXXX450]": 50375,
+  "[XXXXX451]": 50846,
+  "[XXXXX452]": 50217,
+  "[XXXXX453]": 50699,
+  "[XXXXX454]": 50412,
+  "[XXXXX455]": 50418,
+  "[XXXXX456]": 51143,
+  "[XXXXX457]": 51141,
+  "[XXXXX458]": 51157,
+  "[XXXXX459]": 50825,
+  "[XXXXX45]": 50203,
+  "[XXXXX460]": 50194,
+  "[XXXXX461]": 50148,
+  "[XXXXX462]": 50276,
+  "[XXXXX463]": 50271,
+  "[XXXXX464]": 50836,
+  "[XXXXX465]": 50854,
+  "[XXXXX466]": 50164,
+  "[XXXXX467]": 50484,
+  "[XXXXX468]": 51097,
+  "[XXXXX469]": 50182,
+  "[XXXXX46]": 50505,
+  "[XXXXX470]": 50670,
+  "[XXXXX471]": 50595,
+  "[XXXXX472]": 50237,
+  "[XXXXX473]": 50057,
+  "[XXXXX474]": 50431,
+  "[XXXXX475]": 50738,
+  "[XXXXX476]": 51145,
+  "[XXXXX477]": 50247,
+  "[XXXXX478]": 50029,
+  "[XXXXX479]": 50917,
+  "[XXXXX47]": 50579,
+  "[XXXXX480]": 50702,
+  "[XXXXX481]": 50831,
+  "[XXXXX482]": 50753,
+  "[XXXXX483]": 50598,
+  "[XXXXX484]": 51136,
+  "[XXXXX485]": 50092,
+  "[XXXXX486]": 50202,
+  "[XXXXX487]": 50106,
+  "[XXXXX488]": 50924,
+  "[XXXXX489]": 51113,
+  "[XXXXX48]": 50842,
+  "[XXXXX490]": 50761,
+  "[XXXXX491]": 50577,
+  "[XXXXX492]": 50692,
+  "[XXXXX493]": 51130,
+  "[XXXXX494]": 50932,
+  "[XXXXX495]": 50837,
+  "[XXXXX496]": 50893,
+  "[XXXXX497]": 50773,
+  "[XXXXX498]": 50360,
+  "[XXXXX499]": 50900,
+  "[XXXXX49]": 51062,
+  "[XXXXX4]": 50396,
+  "[XXXXX500]": 51034,
+  "[XXXXX501]": 50472,
+  "[XXXXX502]": 50660,
+  "[XXXXX503]": 50815,
+  "[XXXXX504]": 50939,
+  "[XXXXX505]": 50419,
+  "[XXXXX506]": 50324,
+  "[XXXXX507]": 50428,
+  "[XXXXX508]": 50274,
+  "[XXXXX509]": 50311,
+  "[XXXXX50]": 50459,
+  "[XXXXX510]": 50674,
+  "[XXXXX511]": 50580,
+  "[XXXXX512]": 50956,
+  "[XXXXX513]": 50165,
+  "[XXXXX514]": 50320,
+  "[XXXXX515]": 50648,
+  "[XXXXX516]": 50386,
+  "[XXXXX517]": 50058,
+  "[XXXXX518]": 51045,
+  "[XXXXX519]": 50103,
+  "[XXXXX51]": 50979,
+  "[XXXXX520]": 50530,
+  "[XXXXX521]": 50907,
+  "[XXXXX522]": 50260,
+  "[XXXXX523]": 50632,
+  "[XXXXX524]": 50926,
+  "[XXXXX525]": 50687,
+  "[XXXXX526]": 50160,
+  "[XXXXX527]": 51053,
+  "[XXXXX528]": 50652,
+  "[XXXXX529]": 51041,
+  "[XXXXX52]": 50272,
+  "[XXXXX530]": 51111,
+  "[XXXXX531]": 51009,
+  "[XXXXX532]": 51079,
+  "[XXXXX533]": 50487,
+  "[XXXXX534]": 51059,
+  "[XXXXX535]": 50335,
+  "[XXXXX536]": 50380,
+  "[XXXXX537]": 50301,
+  "[XXXXX538]": 51067,
+  "[XXXXX539]": 51052,
+  "[XXXXX53]": 51048,
+  "[XXXXX540]": 50822,
+  "[XXXXX541]": 51040,
+  "[XXXXX542]": 50490,
+  "[XXXXX543]": 50448,
+  "[XXXXX544]": 50812,
+  "[XXXXX545]": 50099,
+  "[XXXXX546]": 51199,
+  "[XXXXX547]": 50226,
+  "[XXXXX548]": 50538,
+  "[XXXXX549]": 50342,
+  "[XXXXX54]": 50701,
+  "[XXXXX550]": 50544,
+  "[XXXXX551]": 50398,
+  "[XXXXX552]": 51102,
+  "[XXXXX553]": 50919,
+  "[XXXXX554]": 50615,
+  "[XXXXX555]": 50769,
+  "[XXXXX556]": 50940,
+  "[XXXXX557]": 50070,
+  "[XXXXX558]": 50680,
+  "[XXXXX559]": 50611,
+  "[XXXXX55]": 50574,
+  "[XXXXX560]": 50381,
+  "[XXXXX561]": 50350,
+  "[XXXXX562]": 50175,
+  "[XXXXX563]": 50584,
+  "[XXXXX564]": 50703,
+  "[XXXXX565]": 50989,
+  "[XXXXX566]": 50877,
+  "[XXXXX567]": 51039,
+  "[XXXXX568]": 51018,
+  "[XXXXX569]": 50452,
+  "[XXXXX56]": 51099,
+  "[XXXXX570]": 50161,
+  "[XXXXX571]": 50921,
+  "[XXXXX572]": 50676,
+  "[XXXXX573]": 50326,
+  "[XXXXX574]": 50987,
+  "[XXXXX575]": 50361,
+  "[XXXXX576]": 50071,
+  "[XXXXX577]": 50803,
+  "[XXXXX578]": 50400,
+  "[XXXXX579]": 51091,
+  "[XXXXX57]": 50501,
+  "[XXXXX580]": 50887,
+  "[XXXXX581]": 50839,
+  "[XXXXX582]": 51138,
+  "[XXXXX583]": 50816,
+  "[XXXXX584]": 50339,
+  "[XXXXX585]": 50463,
+  "[XXXXX586]": 50399,
+  "[XXXXX587]": 51070,
+  "[XXXXX588]": 50457,
+  "[XXXXX589]": 50828,
+  "[XXXXX58]": 50183,
+  "[XXXXX590]": 50080,
+  "[XXXXX591]": 50550,
+  "[XXXXX592]": 50129,
+  "[XXXXX593]": 50273,
+  "[XXXXX594]": 50388,
+  "[XXXXX595]": 50491,
+  "[XXXXX596]": 50278,
+  "[XXXXX597]": 50011,
+  "[XXXXX598]": 50254,
+  "[XXXXX599]": 50302,
+  "[XXXXX59]": 50353,
+  "[XXXXX5]": 50010,
+  "[XXXXX600]": 50704,
+  "[XXXXX601]": 51118,
+  "[XXXXX602]": 50049,
+  "[XXXXX603]": 51190,
+  "[XXXXX604]": 51142,
+  "[XXXXX605]": 50707,
+  "[XXXXX606]": 50937,
+  "[XXXXX607]": 50875,
+  "[XXXXX608]": 50564,
+  "[XXXXX609]": 50345,
+  "[XXXXX60]": 50713,
+  "[XXXXX610]": 50949,
+  "[XXXXX611]": 50978,
+  "[XXXXX612]": 50330,
+  "[XXXXX613]": 51035,
+  "[XXXXX614]": 50402,
+  "[XXXXX615]": 50176,
+  "[XXXXX616]": 51133,
+  "[XXXXX617]": 50222,
+  "[XXXXX618]": 50118,
+  "[XXXXX619]": 50196,
+  "[XXXXX61]": 50298,
+  "[XXXXX620]": 50668,
+  "[XXXXX621]": 50462,
+  "[XXXXX622]": 50218,
+  "[XXXXX623]": 51101,
+  "[XXXXX624]": 50362,
+  "[XXXXX625]": 50779,
+  "[XXXXX626]": 50513,
+  "[XXXXX627]": 50746,
+  "[XXXXX628]": 50141,
+  "[XXXXX629]": 50479,
+  "[XXXXX62]": 50056,
+  "[XXXXX630]": 51180,
+  "[XXXXX631]": 50872,
+  "[XXXXX632]": 50315,
+  "[XXXXX633]": 50397,
+  "[XXXXX634]": 51165,
+  "[XXXXX635]": 50046,
+  "[XXXXX636]": 50795,
+  "[XXXXX637]": 50959,
+  "[XXXXX638]": 50786,
+  "[XXXXX639]": 50240,
+  "[XXXXX63]": 51061,
+  "[XXXXX640]": 50601,
+  "[XXXXX641]": 50904,
+  "[XXXXX642]": 50376,
+  "[XXXXX643]": 50663,
+  "[XXXXX644]": 50613,
+  "[XXXXX645]": 50467,
+  "[XXXXX646]": 50546,
+  "[XXXXX647]": 50465,
+  "[XXXXX648]": 50395,
+  "[XXXXX649]": 50287,
+  "[XXXXX64]": 51162,
+  "[XXXXX650]": 50474,
+  "[XXXXX651]": 50727,
+  "[XXXXX652]": 50243,
+  "[XXXXX653]": 51100,
+  "[XXXXX654]": 50705,
+  "[XXXXX655]": 51012,
+  "[XXXXX656]": 50447,
+  "[XXXXX657]": 50719,
+  "[XXXXX658]": 50712,
+  "[XXXXX659]": 50476,
+  "[XXXXX65]": 50587,
+  "[XXXXX660]": 51054,
+  "[XXXXX661]": 51166,
+  "[XXXXX662]": 50494,
+  "[XXXXX663]": 50230,
+  "[XXXXX664]": 50621,
+  "[XXXXX665]": 50809,
+  "[XXXXX666]": 50265,
+  "[XXXXX667]": 50645,
+  "[XXXXX668]": 50817,
+  "[XXXXX669]": 50030,
+  "[XXXXX66]": 51029,
+  "[XXXXX670]": 51004,
+  "[XXXXX671]": 50685,
+  "[XXXXX672]": 50625,
+  "[XXXXX673]": 50890,
+  "[XXXXX674]": 50383,
+  "[XXXXX675]": 50929,
+  "[XXXXX676]": 50116,
+  "[XXXXX677]": 51072,
+  "[XXXXX678]": 51126,
+  "[XXXXX679]": 50755,
+  "[XXXXX67]": 50717,
+  "[XXXXX680]": 50303,
+  "[XXXXX681]": 50504,
+  "[XXXXX682]": 51075,
+  "[XXXXX683]": 50261,
+  "[XXXXX684]": 50861,
+  "[XXXXX685]": 50306,
+  "[XXXXX686]": 50016,
+  "[XXXXX687]": 50101,
+  "[XXXXX688]": 51098,
+  "[XXXXX689]": 50827,
+  "[XXXXX68]": 50863,
+  "[XXXXX690]": 50640,
+  "[XXXXX691]": 50031,
+  "[XXXXX692]": 50768,
+  "[XXXXX693]": 50013,
+  "[XXXXX694]": 51032,
+  "[XXXXX695]": 50166,
+  "[XXXXX696]": 50127,
+  "[XXXXX697]": 50414,
+  "[XXXXX698]": 50742,
+  "[XXXXX699]": 51042,
+  "[XXXXX69]": 51112,
+  "[XXXXX6]": 50593,
+  "[XXXXX700]": 50292,
+  "[XXXXX701]": 50174,
+  "[XXXXX702]": 50547,
+  "[XXXXX703]": 50498,
+  "[XXXXX704]": 51078,
+  "[XXXXX705]": 50133,
+  "[XXXXX706]": 50041,
+  "[XXXXX707]": 51181,
+  "[XXXXX708]": 50585,
+  "[XXXXX709]": 50776,
+  "[XXXXX70]": 50053,
+  "[XXXXX710]": 50336,
+  "[XXXXX711]": 50765,
+  "[XXXXX712]": 50224,
+  "[XXXXX713]": 50599,
+  "[XXXXX714]": 50207,
+  "[XXXXX715]": 51043,
+  "[XXXXX716]": 51090,
+  "[XXXXX717]": 50006,
+  "[XXXXX718]": 50901,
+  "[XXXXX719]": 51001,
+  "[XXXXX71]": 50954,
+  "[XXXXX720]": 50646,
+  "[XXXXX721]": 50075,
+  "[XXXXX722]": 51120,
+  "[XXXXX723]": 50215,
+  "[XXXXX724]": 50415,
+  "[XXXXX725]": 50154,
+  "[XXXXX726]": 50935,
+  "[XXXXX727]": 50545,
+  "[XXXXX728]": 51085,
+  "[XXXXX729]": 50256,
+  "[XXXXX72]": 50363,
+  "[XXXXX730]": 50700,
+  "[XXXXX731]": 50262,
+  "[XXXXX732]": 50930,
+  "[XXXXX733]": 50333,
+  "[XXXXX734]": 50884,
+  "[XXXXX735]": 51030,
+  "[XXXXX736]": 50231,
+  "[XXXXX737]": 50405,
+  "[XXXXX738]": 50962,
+  "[XXXXX739]": 50458,
+  "[XXXXX73]": 50019,
+  "[XXXXX740]": 50878,
+  "[XXXXX741]": 50910,
+  "[XXXXX742]": 50170,
+  "[XXXXX743]": 50718,
+  "[XXXXX744]": 50616,
+  "[XXXXX745]": 50358,
+  "[XXXXX746]": 50152,
+  "[XXXXX747]": 50525,
+  "[XXXXX748]": 51167,
+  "[XXXXX749]": 50653,
+  "[XXXXX74]": 50952,
+  "[XXXXX750]": 50500,
+  "[XXXXX751]": 50446,
+  "[XXXXX752]": 50995,
+  "[XXXXX753]": 50945,
+  "[XXXXX754]": 51173,
+  "[XXXXX755]": 50823,
+  "[XXXXX756]": 51060,
+  "[XXXXX757]": 50748,
+  "[XXXXX758]": 50020,
+  "[XXXXX759]": 50197,
+  "[XXXXX75]": 50502,
+  "[XXXXX760]": 50291,
+  "[XXXXX761]": 50821,
+  "[XXXXX762]": 50190,
+  "[XXXXX763]": 50745,
+  "[XXXXX764]": 50778,
+  "[XXXXX765]": 50556,
+  "[XXXXX766]": 51161,
+  "[XXXXX767]": 50466,
+  "[XXXXX768]": 50792,
+  "[XXXXX769]": 50208,
+  "[XXXXX76]": 50169,
+  "[XXXXX770]": 50647,
+  "[XXXXX771]": 50610,
+  "[XXXXX772]": 51140,
+  "[XXXXX773]": 50441,
+  "[XXXXX774]": 50870,
+  "[XXXXX775]": 50368,
+  "[XXXXX776]": 50026,
+  "[XXXXX777]": 50677,
+  "[XXXXX778]": 51168,
+  "[XXXXX779]": 50481,
+  "[XXXXX77]": 50515,
+  "[XXXXX780]": 50225,
+  "[XXXXX781]": 50408,
+  "[XXXXX782]": 50090,
+  "[XXXXX783]": 50951,
+  "[XXXXX784]": 50015,
+  "[XXXXX785]": 50658,
+  "[XXXXX786]": 50617,
+  "[XXXXX787]": 50721,
+  "[XXXXX788]": 51084,
+  "[XXXXX789]": 50830,
+  "[XXXXX78]": 50100,
+  "[XXXXX790]": 50606,
+  "[XXXXX791]": 50124,
+  "[XXXXX792]": 50078,
+  "[XXXXX793]": 51188,
+  "[XXXXX794]": 50750,
+  "[XXXXX795]": 50138,
+  "[XXXXX796]": 50239,
+  "[XXXXX797]": 50385,
+  "[XXXXX798]": 50780,
+  "[XXXXX799]": 50683,
+  "[XXXXX79]": 50436,
+  "[XXXXX7]": 50211,
+  "[XXXXX800]": 51185,
+  "[XXXXX801]": 50250,
+  "[XXXXX802]": 50456,
+  "[XXXXX803]": 50508,
+  "[XXXXX804]": 51194,
+  "[XXXXX805]": 50021,
+  "[XXXXX806]": 50307,
+  "[XXXXX807]": 50199,
+  "[XXXXX808]": 51129,
+  "[XXXXX809]": 50686,
+  "[XXXXX80]": 50370,
+  "[XXXXX810]": 50343,
+  "[XXXXX811]": 50614,
+  "[XXXXX812]": 50636,
+  "[XXXXX813]": 51198,
+  "[XXXXX814]": 50788,
+  "[XXXXX815]": 50120,
+  "[XXXXX816]": 50135,
+  "[XXXXX817]": 50293,
+  "[XXXXX818]": 50153,
+  "[XXXXX819]": 50516,
+  "[XXXXX81]": 50581,
+  "[XXXXX820]": 50586,
+  "[XXXXX821]": 50509,
+  "[XXXXX822]": 50220,
+  "[XXXXX823]": 51068,
+  "[XXXXX824]": 50946,
+  "[XXXXX825]": 50965,
+  "[XXXXX826]": 50032,
+  "[XXXXX827]": 50156,
+  "[XXXXX828]": 50449,
+  "[XXXXX829]": 50531,
+  "[XXXXX82]": 51164,
+  "[XXXXX830]": 50486,
+  "[XXXXX831]": 50357,
+  "[XXXXX832]": 51022,
+  "[XXXXX833]": 50633,
+  "[XXXXX834]": 50754,
+  "[XXXXX835]": 51134,
+  "[XXXXX836]": 50193,
+  "[XXXXX837]": 51088,
+  "[XXXXX838]": 50722,
+  "[XXXXX839]": 50756,
+  "[XXXXX83]": 50977,
+  "[XXXXX840]": 50022,
+  "[XXXXX841]": 51186,
+  "[XXXXX842]": 50575,
+  "[XXXXX843]": 50079,
+  "[XXXXX844]": 50644,
+  "[XXXXX845]": 51033,
+  "[XXXXX846]": 50454,
+  "[XXXXX847]": 50095,
+  "[XXXXX848]": 50902,
+  "[XXXXX849]": 50597,
+  "[XXXXX84]": 50167,
+  "[XXXXX850]": 51051,
+  "[XXXXX851]": 50696,
+  "[XXXXX852]": 50966,
+  "[XXXXX853]": 50034,
+  "[XXXXX854]": 50889,
+  "[XXXXX855]": 50843,
+  "[XXXXX856]": 50963,
+  "[XXXXX857]": 50227,
+  "[XXXXX858]": 51058,
+  "[XXXXX859]": 50850,
+  "[XXXXX85]": 50192,
+  "[XXXXX860]": 50228,
+  "[XXXXX861]": 50570,
+  "[XXXXX862]": 50488,
+  "[XXXXX863]": 50539,
+  "[XXXXX864]": 51182,
+  "[XXXXX865]": 50990,
+  "[XXXXX866]": 50542,
+  "[XXXXX867]": 51069,
+  "[XXXXX868]": 50480,
+  "[XXXXX869]": 50847,
+  "[XXXXX86]": 50874,
+  "[XXXXX870]": 50308,
+  "[XXXXX871]": 50510,
+  "[XXXXX872]": 50423,
+  "[XXXXX873]": 50086,
+  "[XXXXX874]": 50591,
+  "[XXXXX875]": 50728,
+  "[XXXXX876]": 50372,
+  "[XXXXX877]": 50903,
+  "[XXXXX878]": 50868,
+  "[XXXXX879]": 50763,
+  "[XXXXX87]": 50571,
+  "[XXXXX880]": 50096,
+  "[XXXXX881]": 51150,
+  "[XXXXX882]": 50460,
+  "[XXXXX883]": 51087,
+  "[XXXXX884]": 51093,
+  "[XXXXX885]": 50295,
+  "[XXXXX886]": 51037,
+  "[XXXXX887]": 51171,
+  "[XXXXX888]": 50794,
+  "[XXXXX889]": 50628,
+  "[XXXXX88]": 50520,
+  "[XXXXX890]": 51172,
+  "[XXXXX891]": 51046,
+  "[XXXXX892]": 50918,
+  "[XXXXX893]": 50998,
+  "[XXXXX894]": 50371,
+  "[XXXXX895]": 51155,
+  "[XXXXX896]": 50866,
+  "[XXXXX897]": 50229,
+  "[XXXXX898]": 51057,
+  "[XXXXX899]": 50867,
+  "[XXXXX89]": 50537,
+  "[XXXXX8]": 50784,
+  "[XXXXX900]": 50739,
+  "[XXXXX901]": 51080,
+  "[XXXXX902]": 50038,
+  "[XXXXX903]": 50321,
+  "[XXXXX904]": 50774,
+  "[XXXXX905]": 50974,
+  "[XXXXX906]": 50920,
+  "[XXXXX907]": 50469,
+  "[XXXXX908]": 51122,
+  "[XXXXX909]": 51092,
+  "[XXXXX90]": 50514,
+  "[XXXXX910]": 50798,
+  "[XXXXX911]": 50245,
+  "[XXXXX912]": 50367,
+  "[XXXXX913]": 50618,
+  "[XXXXX914]": 50072,
+  "[XXXXX915]": 50450,
+  "[XXXXX916]": 51189,
+  "[XXXXX917]": 50485,
+  "[XXXXX918]": 50283,
+  "[XXXXX919]": 50845,
+  "[XXXXX91]": 50968,
+  "[XXXXX920]": 50429,
+  "[XXXXX921]": 50364,
+  "[XXXXX922]": 50782,
+  "[XXXXX923]": 50534,
+  "[XXXXX924]": 50059,
+  "[XXXXX925]": 50102,
+  "[XXXXX926]": 50185,
+  "[XXXXX927]": 50634,
+  "[XXXXX928]": 50567,
+  "[XXXXX929]": 50895,
+  "[XXXXX92]": 50210,
+  "[XXXXX930]": 50561,
+  "[XXXXX931]": 51021,
+  "[XXXXX932]": 50107,
+  "[XXXXX933]": 50407,
+  "[XXXXX934]": 50654,
+  "[XXXXX935]": 50268,
+  "[XXXXX936]": 51153,
+  "[XXXXX937]": 50552,
+  "[XXXXX938]": 50526,
+  "[XXXXX939]": 50322,
+  "[XXXXX93]": 50912,
+  "[XXXXX940]": 50296,
+  "[XXXXX941]": 50572,
+  "[XXXXX942]": 50393,
+  "[XXXXX943]": 50312,
+  "[XXXXX944]": 50592,
+  "[XXXXX945]": 50982,
+  "[XXXXX946]": 50089,
+  "[XXXXX947]": 50331,
+  "[XXXXX948]": 50279,
+  "[XXXXX949]": 51005,
+  "[XXXXX94]": 50198,
+  "[XXXXX950]": 50114,
+  "[XXXXX951]": 50074,
+  "[XXXXX952]": 50248,
+  "[XXXXX953]": 50857,
+  "[XXXXX954]": 50841,
+  "[XXXXX955]": 51065,
+  "[XXXXX956]": 50234,
+  "[XXXXX957]": 50834,
+  "[XXXXX958]": 50535,
+  "[XXXXX959]": 51109,
+  "[XXXXX95]": 50651,
+  "[XXXXX960]": 50797,
+  "[XXXXX961]": 50914,
+  "[XXXXX962]": 50112,
+  "[XXXXX963]": 50073,
+  "[XXXXX964]": 50559,
+  "[XXXXX965]": 50933,
+  "[XXXXX966]": 50619,
+  "[XXXXX967]": 51187,
+  "[XXXXX968]": 50327,
+  "[XXXXX969]": 50698,
+  "[XXXXX96]": 50420,
+  "[XXXXX970]": 50060,
+  "[XXXXX971]": 50432,
+  "[XXXXX972]": 50620,
+  "[XXXXX973]": 50693,
+  "[XXXXX974]": 50938,
+  "[XXXXX975]": 50983,
+  "[XXXXX976]": 50334,
+  "[XXXXX977]": 50438,
+  "[XXXXX978]": 51154,
+  "[XXXXX979]": 50964,
+  "[XXXXX97]": 50672,
+  "[XXXXX980]": 50511,
+  "[XXXXX981]": 50244,
+  "[XXXXX982]": 50266,
+  "[XXXXX983]": 50134,
+  "[XXXXX984]": 50338,
+  "[XXXXX985]": 51121,
+  "[XXXXX986]": 50323,
+  "[XXXXX987]": 50909,
+  "[XXXXX988]": 51000,
+  "[XXXXX989]": 50036,
+  "[XXXXX98]": 50787,
+  "[XXXXX990]": 50512,
+  "[XXXXX991]": 50191,
+  "[XXXXX992]": 50187,
+  "[XXXXX993]": 51156,
+  "[XXXXX994]": 51135,
+  "[XXXXX995]": 50355,
+  "[XXXXX996]": 51027,
+  "[XXXXX997]": 50297,
+  "[XXXXX998]": 50928,
+  "[XXXXX999]": 50697,
+  "[XXXXX99]": 50980,
+  "[XXXXX9]": 50961
+}
diff --git a/checkpoint-4500/config.json b/checkpoint-4500/config.json
new file mode 100644
index 0000000..000c292
--- /dev/null
+++ b/checkpoint-4500/config.json
@@ -0,0 +1,34 @@
+{
+  "activation_function": "gelu",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50000,
+  "dtype": "bfloat16",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50001,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 512,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": 3072,
+  "n_layer": 12,
+  "n_positions": 512,
+  "pad_token_id": 50002,
+  "prefix": "[CLS]",
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "vocab_size": 51200
+}
diff --git a/checkpoint-4500/generation_config.json b/checkpoint-4500/generation_config.json
new file mode 100644
index 0000000..4c122f0
--- /dev/null
+++ b/checkpoint-4500/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50000,
+  "eos_token_id": [
+    50001
+  ],
+  "pad_token_id": 50002,
+  "transformers_version": "4.56.2"
+}
diff --git a/checkpoint-4500/model.safetensors b/checkpoint-4500/model.safetensors
new file mode 100644
index 0000000..18a0e98
--- /dev/null
+++ b/checkpoint-4500/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e74d29c0b9d22b421660b1e59a47b2d206cfe3d4bb65788f49f35ed79424f6f8
+size 249556672
diff --git a/checkpoint-4500/rng_state.pth b/checkpoint-4500/rng_state.pth
new file mode 100644
index 0000000..fb4fd52
--- /dev/null
+++ b/checkpoint-4500/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:566a8d6560508a2130498f2bfce618959f88fed711f605b8e0ce759e2892080f
+size 14645
diff --git a/checkpoint-4500/special_tokens_map.json b/checkpoint-4500/special_tokens_map.json
new file mode 100644
index 0000000..c78a835
--- /dev/null
+++ b/checkpoint-4500/special_tokens_map.json
@@ -0,0 +1,1249 @@
+{
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/checkpoint-4500/spiece.model b/checkpoint-4500/spiece.model
new file mode 100644
index 0000000..85d6e93
--- /dev/null
+++ b/checkpoint-4500/spiece.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:762a1e078899c6ba7ef62ef873a57b860c51cc0518791854659b58b4c89742fe
+size 1170764
diff --git a/checkpoint-4500/tokenizer_config.json b/checkpoint-4500/tokenizer_config.json
new file mode 100644
index 0000000..b27d01f
--- /dev/null
+++ b/checkpoint-4500/tokenizer_config.json
@@ -0,0 +1,10825 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50000": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50001": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50002": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50003": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50004": {
+      "content": "[XXXXX160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50005": {
+      "content": "[XXXXX240]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50006": {
+      "content": "[XXXXX717]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50007": {
+      "content": "[XXXXX23]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50008": {
+      "content": "[XXXXX161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50009": {
+      "content": "[XXXXX1156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50010": {
+      "content": "[XXXXX5]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50011": {
+      "content": "[XXXXX597]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50012": {
+      "content": "[XXXXX415]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50013": {
+      "content": "[XXXXX693]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50014": {
+      "content": "[XXXXX1083]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50015": {
+      "content": "[XXXXX784]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50016": {
+      "content": "[XXXXX686]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50017": {
+      "content": "[XXXXX379]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50018": {
+      "content": "[XXXXX335]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50019": {
+      "content": "[XXXXX73]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50020": {
+      "content": "[XXXXX758]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50021": {
+      "content": "[XXXXX805]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50022": {
+      "content": "[XXXXX840]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50023": {
+      "content": "[XXXXX1037]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50024": {
+      "content": "[XXXXX235]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50025": {
+      "content": "[XXXXX1107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50026": {
+      "content": "[XXXXX776]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50027": {
+      "content": "[XXXXX286]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50028": {
+      "content": "[XXXXX396]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50029": {
+      "content": "[XXXXX478]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50030": {
+      "content": "[XXXXX669]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50031": {
+      "content": "[XXXXX691]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50032": {
+      "content": "[XXXXX826]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50033": {
+      "content": "[XXXXX1150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50034": {
+      "content": "[XXXXX853]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50035": {
+      "content": "[XXXXX130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50036": {
+      "content": "[XXXXX989]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50037": {
+      "content": "[XXXXX249]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50038": {
+      "content": "[XXXXX902]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50039": {
+      "content": "[XXXXX1169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50040": {
+      "content": "[XXXXX260]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50041": {
+      "content": "[XXXXX706]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50042": {
+      "content": "[XXXXX146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50043": {
+      "content": "[XXXXX198]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50044": {
+      "content": "[XXXXX303]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50045": {
+      "content": "[XXXXX1192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50046": {
+      "content": "[XXXXX635]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50047": {
+      "content": "[XXXXX271]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50048": {
+      "content": "[XXXXX1023]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50049": {
+      "content": "[XXXXX602]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50050": {
+      "content": "[XXXXX291]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50051": {
+      "content": "[XXXXX190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50052": {
+      "content": "[XXXXX1055]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50053": {
+      "content": "[XXXXX70]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50054": {
+      "content": "[XXXXX178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50055": {
+      "content": "[XXXXX318]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50056": {
+      "content": "[XXXXX62]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50057": {
+      "content": "[XXXXX473]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50058": {
+      "content": "[XXXXX517]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50059": {
+      "content": "[XXXXX924]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50060": {
+      "content": "[XXXXX970]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50061": {
+      "content": "[XXXXX1033]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50062": {
+      "content": "[XXXXX110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50063": {
+      "content": "[XXXXX1151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50064": {
+      "content": "[XXXXX1189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50065": {
+      "content": "[XXXXX1095]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50066": {
+      "content": "[XXXXX148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50067": {
+      "content": "[XXXXX337]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50068": {
+      "content": "[XXXXX245]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50069": {
+      "content": "[XXXXX407]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50070": {
+      "content": "[XXXXX557]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50071": {
+      "content": "[XXXXX576]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50072": {
+      "content": "[XXXXX914]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50073": {
+      "content": "[XXXXX963]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50074": {
+      "content": "[XXXXX951]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50075": {
+      "content": "[XXXXX721]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50076": {
+      "content": "[XXXXX1174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50077": {
+      "content": "[XXXXX3]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50078": {
+      "content": "[XXXXX792]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50079": {
+      "content": "[XXXXX843]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50080": {
+      "content": "[XXXXX590]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50081": {
+      "content": "[XXXXX118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50082": {
+      "content": "[XXXXX280]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50083": {
+      "content": "[XXXXX1119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50084": {
+      "content": "[XXXXX1025]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50085": {
+      "content": "[XXXXX140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50086": {
+      "content": "[XXXXX873]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50087": {
+      "content": "[XXXXX103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50088": {
+      "content": "[XXXXX307]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50089": {
+      "content": "[XXXXX946]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50090": {
+      "content": "[XXXXX782]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50091": {
+      "content": "[XXXXX100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50092": {
+      "content": "[XXXXX485]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50093": {
+      "content": "[XXXXX151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50094": {
+      "content": "[XXXXX213]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50095": {
+      "content": "[XXXXX847]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50096": {
+      "content": "[XXXXX880]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50097": {
+      "content": "[XXXXX44]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50098": {
+      "content": "[XXXXX1031]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50099": {
+      "content": "[XXXXX545]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50100": {
+      "content": "[XXXXX78]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50101": {
+      "content": "[XXXXX687]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50102": {
+      "content": "[XXXXX925]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50103": {
+      "content": "[XXXXX519]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50104": {
+      "content": "[XXXXX1191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50105": {
+      "content": "[XXXXX13]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50106": {
+      "content": "[XXXXX487]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50107": {
+      "content": "[XXXXX932]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50108": {
+      "content": "[XXXXX119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50109": {
+      "content": "[XXXXX170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50110": {
+      "content": "[XXXXX254]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50111": {
+      "content": "[XXXXX420]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50112": {
+      "content": "[XXXXX962]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50113": {
+      "content": "[XXXXX441]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50114": {
+      "content": "[XXXXX950]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50115": {
+      "content": "[XXXXX18]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50116": {
+      "content": "[XXXXX676]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50117": {
+      "content": "[XXXXX1133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50118": {
+      "content": "[XXXXX618]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50119": {
+      "content": "[XXXXX374]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50120": {
+      "content": "[XXXXX815]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50121": {
+      "content": "[XXXXX1058]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50122": {
+      "content": "[XXXXX1108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50123": {
+      "content": "[XXXXX1144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50124": {
+      "content": "[XXXXX791]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50125": {
+      "content": "[XXXXX259]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50126": {
+      "content": "[XXXXX1074]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50127": {
+      "content": "[XXXXX696]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50128": {
+      "content": "[XXXXX1168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50129": {
+      "content": "[XXXXX592]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50130": {
+      "content": "[XXXXX127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50131": {
+      "content": "[XXXXX136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50132": {
+      "content": "[XXXXX237]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50133": {
+      "content": "[XXXXX705]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50134": {
+      "content": "[XXXXX983]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50135": {
+      "content": "[XXXXX816]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50136": {
+      "content": "[XXXXX412]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50137": {
+      "content": "[XXXXX410]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50138": {
+      "content": "[XXXXX795]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50139": {
+      "content": "[XXXXX101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50140": {
+      "content": "[XXXXX171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50141": {
+      "content": "[XXXXX628]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50142": {
+      "content": "[XXXXX1038]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50143": {
+      "content": "[XXXXX447]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50144": {
+      "content": "[XXXXX1043]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50145": {
+      "content": "[XXXXX147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50146": {
+      "content": "[XXXXX1112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50147": {
+      "content": "[XXXXX186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50148": {
+      "content": "[XXXXX461]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50149": {
+      "content": "[XXXXX423]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50150": {
+      "content": "[XXXXX26]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50151": {
+      "content": "[XXXXX227]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50152": {
+      "content": "[XXXXX746]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50153": {
+      "content": "[XXXXX818]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50154": {
+      "content": "[XXXXX725]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50155": {
+      "content": "[XXXXX400]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50156": {
+      "content": "[XXXXX827]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50157": {
+      "content": "[XXXXX1020]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50158": {
+      "content": "[XXXXX1060]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50159": {
+      "content": "[XXXXX195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50160": {
+      "content": "[XXXXX526]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50161": {
+      "content": "[XXXXX570]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50162": {
+      "content": "[XXXXX174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50163": {
+      "content": "[XXXXX333]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50164": {
+      "content": "[XXXXX466]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50165": {
+      "content": "[XXXXX513]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50166": {
+      "content": "[XXXXX695]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50167": {
+      "content": "[XXXXX84]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50168": {
+      "content": "[XXXXX1080]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50169": {
+      "content": "[XXXXX76]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50170": {
+      "content": "[XXXXX742]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50171": {
+      "content": "[XXXXX1008]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50172": {
+      "content": "[XXXXX1123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50173": {
+      "content": "[XXXXX1145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50174": {
+      "content": "[XXXXX701]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50175": {
+      "content": "[XXXXX562]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50176": {
+      "content": "[XXXXX615]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50177": {
+      "content": "[XXXXX389]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50178": {
+      "content": "[XXXXX267]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50179": {
+      "content": "[XXXXX323]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50180": {
+      "content": "[XXXXX346]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50181": {
+      "content": "[XXXXX287]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50182": {
+      "content": "[XXXXX469]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50183": {
+      "content": "[XXXXX58]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50184": {
+      "content": "[XXXXX431]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50185": {
+      "content": "[XXXXX926]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50186": {
+      "content": "[XXXXX1182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50187": {
+      "content": "[XXXXX992]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50188": {
+      "content": "[XXXXX185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50189": {
+      "content": "[XXXXX352]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50190": {
+      "content": "[XXXXX762]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50191": {
+      "content": "[XXXXX991]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50192": {
+      "content": "[XXXXX85]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50193": {
+      "content": "[XXXXX836]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50194": {
+      "content": "[XXXXX460]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50195": {
+      "content": "[XXXXX272]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50196": {
+      "content": "[XXXXX619]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50197": {
+      "content": "[XXXXX759]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50198": {
+      "content": "[XXXXX94]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50199": {
+      "content": "[XXXXX807]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50200": {
+      "content": "[XXXXX299]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50201": {
+      "content": "[XXXXX187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50202": {
+      "content": "[XXXXX486]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50203": {
+      "content": "[XXXXX45]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50204": {
+      "content": "[XXXXX1036]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50205": {
+      "content": "[XXXXX354]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50206": {
+      "content": "[XXXXX386]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50207": {
+      "content": "[XXXXX714]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50208": {
+      "content": "[XXXXX769]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50209": {
+      "content": "[XXXXX304]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50210": {
+      "content": "[XXXXX92]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50211": {
+      "content": "[XXXXX7]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50212": {
+      "content": "[XXXXX31]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50213": {
+      "content": "[XXXXX102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50214": {
+      "content": "[XXXXX163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50215": {
+      "content": "[XXXXX723]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50216": {
+      "content": "[XXXXX1042]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50217": {
+      "content": "[XXXXX452]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50218": {
+      "content": "[XXXXX622]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50219": {
+      "content": "[XXXXX1056]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50220": {
+      "content": "[XXXXX822]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50221": {
+      "content": "[XXXXX125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50222": {
+      "content": "[XXXXX617]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50223": {
+      "content": "[XXXXX34]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50224": {
+      "content": "[XXXXX712]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50225": {
+      "content": "[XXXXX780]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50226": {
+      "content": "[XXXXX547]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50227": {
+      "content": "[XXXXX857]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50228": {
+      "content": "[XXXXX860]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50229": {
+      "content": "[XXXXX897]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50230": {
+      "content": "[XXXXX663]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50231": {
+      "content": "[XXXXX736]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50232": {
+      "content": "[XXXXX202]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50233": {
+      "content": "[XXXXX1029]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50234": {
+      "content": "[XXXXX956]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50235": {
+      "content": "[XXXXX397]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50236": {
+      "content": "[XXXXX239]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50237": {
+      "content": "[XXXXX472]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50238": {
+      "content": "[XXXXX230]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50239": {
+      "content": "[XXXXX796]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50240": {
+      "content": "[XXXXX639]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50241": {
+      "content": "[XXXXX203]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50242": {
+      "content": "[XXXXX231]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50243": {
+      "content": "[XXXXX652]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50244": {
+      "content": "[XXXXX981]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50245": {
+      "content": "[XXXXX911]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50246": {
+      "content": "[XXXXX380]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50247": {
+      "content": "[XXXXX477]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50248": {
+      "content": "[XXXXX952]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50249": {
+      "content": "[XXXXX28]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50250": {
+      "content": "[XXXXX801]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50251": {
+      "content": "[XXXXX1134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50252": {
+      "content": "[XXXXX1176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50253": {
+      "content": "[XXXXX180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50254": {
+      "content": "[XXXXX598]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50255": {
+      "content": "[XXXXX365]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50256": {
+      "content": "[XXXXX729]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50257": {
+      "content": "[XXXXX214]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50258": {
+      "content": "[XXXXX1117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50259": {
+      "content": "[XXXXX278]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50260": {
+      "content": "[XXXXX522]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50261": {
+      "content": "[XXXXX683]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50262": {
+      "content": "[XXXXX731]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50263": {
+      "content": "[XXXXX312]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "[XXXXX1178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50265": {
+      "content": "[XXXXX666]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50266": {
+      "content": "[XXXXX982]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50267": {
+      "content": "[XXXXX414]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50268": {
+      "content": "[XXXXX935]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50269": {
+      "content": "[XXXXX1089]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50270": {
+      "content": "[XXXXX236]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50271": {
+      "content": "[XXXXX463]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50272": {
+      "content": "[XXXXX52]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50273": {
+      "content": "[XXXXX593]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50274": {
+      "content": "[XXXXX508]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50275": {
+      "content": "[XXXXX1125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50276": {
+      "content": "[XXXXX462]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50277": {
+      "content": "[XXXXX32]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50278": {
+      "content": "[XXXXX596]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50279": {
+      "content": "[XXXXX948]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50280": {
+      "content": "[XXXXX150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50281": {
+      "content": "[XXXXX322]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50282": {
+      "content": "[XXXXX390]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50283": {
+      "content": "[XXXXX918]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50284": {
+      "content": "[XXXXX157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50285": {
+      "content": "[XXXXX310]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50286": {
+      "content": "[XXXXX392]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50287": {
+      "content": "[XXXXX649]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50288": {
+      "content": "[XXXXX158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50289": {
+      "content": "[XXXXX430]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50290": {
+      "content": "[XXXXX384]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50291": {
+      "content": "[XXXXX760]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50292": {
+      "content": "[XXXXX700]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50293": {
+      "content": "[XXXXX817]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50294": {
+      "content": "[XXXXX115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50295": {
+      "content": "[XXXXX885]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50296": {
+      "content": "[XXXXX940]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50297": {
+      "content": "[XXXXX997]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50298": {
+      "content": "[XXXXX61]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50299": {
+      "content": "[XXXXX209]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50300": {
+      "content": "[XXXXX316]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50301": {
+      "content": "[XXXXX537]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50302": {
+      "content": "[XXXXX599]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50303": {
+      "content": "[XXXXX680]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50304": {
+      "content": "[XXXXX135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50305": {
+      "content": "[XXXXX39]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50306": {
+      "content": "[XXXXX685]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50307": {
+      "content": "[XXXXX806]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50308": {
+      "content": "[XXXXX870]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50309": {
+      "content": "[XXXXX1096]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50310": {
+      "content": "[XXXXX366]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50311": {
+      "content": "[XXXXX509]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50312": {
+      "content": "[XXXXX943]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50313": {
+      "content": "[XXXXX292]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50314": {
+      "content": "[XXXXX367]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50315": {
+      "content": "[XXXXX632]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50316": {
+      "content": "[XXXXX1136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50317": {
+      "content": "[XXXXX156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50318": {
+      "content": "[XXXXX1100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50319": {
+      "content": "[XXXXX432]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50320": {
+      "content": "[XXXXX514]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50321": {
+      "content": "[XXXXX903]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50322": {
+      "content": "[XXXXX939]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50323": {
+      "content": "[XXXXX986]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50324": {
+      "content": "[XXXXX506]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50325": {
+      "content": "[XXXXX10]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50326": {
+      "content": "[XXXXX573]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50327": {
+      "content": "[XXXXX968]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50328": {
+      "content": "[XXXXX1039]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50329": {
+      "content": "[XXXXX252]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50330": {
+      "content": "[XXXXX612]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50331": {
+      "content": "[XXXXX947]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50332": {
+      "content": "[XXXXX1162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50333": {
+      "content": "[XXXXX733]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50334": {
+      "content": "[XXXXX976]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50335": {
+      "content": "[XXXXX535]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50336": {
+      "content": "[XXXXX710]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50337": {
+      "content": "[XXXXX40]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50338": {
+      "content": "[XXXXX984]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50339": {
+      "content": "[XXXXX584]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50340": {
+      "content": "[XXXXX132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50341": {
+      "content": "[XXXXX1084]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50342": {
+      "content": "[XXXXX549]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50343": {
+      "content": "[XXXXX810]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50344": {
+      "content": "[XXXXX208]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50345": {
+      "content": "[XXXXX609]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50346": {
+      "content": "[XXXXX275]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50347": {
+      "content": "[XXXXX262]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50348": {
+      "content": "[XXXXX331]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50349": {
+      "content": "[XXXXX361]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50350": {
+      "content": "[XXXXX561]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50351": {
+      "content": "[XXXXX143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50352": {
+      "content": "[XXXXX1061]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50353": {
+      "content": "[XXXXX59]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50354": {
+      "content": "[XXXXX21]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50355": {
+      "content": "[XXXXX995]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50356": {
+      "content": "[XXXXX439]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50357": {
+      "content": "[XXXXX831]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50358": {
+      "content": "[XXXXX745]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50359": {
+      "content": "[XXXXX43]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50360": {
+      "content": "[XXXXX498]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50361": {
+      "content": "[XXXXX575]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50362": {
+      "content": "[XXXXX624]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50363": {
+      "content": "[XXXXX72]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50364": {
+      "content": "[XXXXX921]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50365": {
+      "content": "[XXXXX201]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50366": {
+      "content": "[XXXXX1171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50367": {
+      "content": "[XXXXX912]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50368": {
+      "content": "[XXXXX775]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50369": {
+      "content": "[XXXXX1094]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50370": {
+      "content": "[XXXXX80]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50371": {
+      "content": "[XXXXX894]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50372": {
+      "content": "[XXXXX876]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50373": {
+      "content": "[XXXXX1143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50374": {
+      "content": "[XXXXX355]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50375": {
+      "content": "[XXXXX450]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50376": {
+      "content": "[XXXXX642]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50377": {
+      "content": "[XXXXX162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50378": {
+      "content": "[XXXXX394]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50379": {
+      "content": "[XXXXX296]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50380": {
+      "content": "[XXXXX536]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50381": {
+      "content": "[XXXXX560]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50382": {
+      "content": "[XXXXX373]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50383": {
+      "content": "[XXXXX674]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50384": {
+      "content": "[XXXXX1099]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50385": {
+      "content": "[XXXXX797]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50386": {
+      "content": "[XXXXX516]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50387": {
+      "content": "[XXXXX41]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50388": {
+      "content": "[XXXXX594]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50389": {
+      "content": "[XXXXX319]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50390": {
+      "content": "[XXXXX165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50391": {
+      "content": "[XXXXX344]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50392": {
+      "content": "[XXXXX1012]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50393": {
+      "content": "[XXXXX942]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50394": {
+      "content": "[XXXXX1071]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50395": {
+      "content": "[XXXXX648]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50396": {
+      "content": "[XXXXX4]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50397": {
+      "content": "[XXXXX633]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50398": {
+      "content": "[XXXXX551]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50399": {
+      "content": "[XXXXX586]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50400": {
+      "content": "[XXXXX578]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50401": {
+      "content": "[XXXXX348]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50402": {
+      "content": "[XXXXX614]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50403": {
+      "content": "[XXXXX33]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50404": {
+      "content": "[XXXXX1193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50405": {
+      "content": "[XXXXX737]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50406": {
+      "content": "[XXXXX233]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50407": {
+      "content": "[XXXXX933]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50408": {
+      "content": "[XXXXX781]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50409": {
+      "content": "[XXXXX189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50410": {
+      "content": "[XXXXX1006]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50411": {
+      "content": "[XXXXX219]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50412": {
+      "content": "[XXXXX454]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50413": {
+      "content": "[XXXXX449]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50414": {
+      "content": "[XXXXX697]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50415": {
+      "content": "[XXXXX724]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50416": {
+      "content": "[XXXXX224]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50417": {
+      "content": "[XXXXX1157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50418": {
+      "content": "[XXXXX455]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50419": {
+      "content": "[XXXXX505]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50420": {
+      "content": "[XXXXX96]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50421": {
+      "content": "[XXXXX182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50422": {
+      "content": "[XXXXX424]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50423": {
+      "content": "[XXXXX872]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50424": {
+      "content": "[XXXXX1163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50425": {
+      "content": "[XXXXX1081]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50426": {
+      "content": "[XXXXX1173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50427": {
+      "content": "[XXXXX172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50428": {
+      "content": "[XXXXX507]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50429": {
+      "content": "[XXXXX920]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50430": {
+      "content": "[XXXXX1126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50431": {
+      "content": "[XXXXX474]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50432": {
+      "content": "[XXXXX971]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50433": {
+      "content": "[XXXXX1049]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50434": {
+      "content": "[XXXXX1114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50435": {
+      "content": "[XXXXX1040]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50436": {
+      "content": "[XXXXX79]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50437": {
+      "content": "[XXXXX36]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50438": {
+      "content": "[XXXXX977]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50439": {
+      "content": "[XXXXX1129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50440": {
+      "content": "[XXXXX1063]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50441": {
+      "content": "[XXXXX773]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50442": {
+      "content": "[XXXXX16]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50443": {
+      "content": "[XXXXX113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50444": {
+      "content": "[XXXXX320]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50445": {
+      "content": "[XXXXX167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50446": {
+      "content": "[XXXXX751]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50447": {
+      "content": "[XXXXX656]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50448": {
+      "content": "[XXXXX543]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50449": {
+      "content": "[XXXXX828]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50450": {
+      "content": "[XXXXX915]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50451": {
+      "content": "[XXXXX1098]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50452": {
+      "content": "[XXXXX569]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50453": {
+      "content": "[XXXXX1166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50454": {
+      "content": "[XXXXX846]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50455": {
+      "content": "[XXXXX324]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50456": {
+      "content": "[XXXXX802]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50457": {
+      "content": "[XXXXX588]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50458": {
+      "content": "[XXXXX739]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50459": {
+      "content": "[XXXXX50]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50460": {
+      "content": "[XXXXX882]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50461": {
+      "content": "[XXXXX1054]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50462": {
+      "content": "[XXXXX621]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50463": {
+      "content": "[XXXXX585]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50464": {
+      "content": "[XXXXX121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50465": {
+      "content": "[XXXXX647]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50466": {
+      "content": "[XXXXX767]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50467": {
+      "content": "[XXXXX645]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50468": {
+      "content": "[XXXXX27]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50469": {
+      "content": "[XXXXX907]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50470": {
+      "content": "[XXXXX1109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50471": {
+      "content": "[XXXXX1147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50472": {
+      "content": "[XXXXX501]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50473": {
+      "content": "[XXXXX1164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50474": {
+      "content": "[XXXXX650]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50475": {
+      "content": "[XXXXX329]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50476": {
+      "content": "[XXXXX659]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50477": {
+      "content": "[XXXXX1158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50478": {
+      "content": "[XXXXX104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50479": {
+      "content": "[XXXXX629]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50480": {
+      "content": "[XXXXX868]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50481": {
+      "content": "[XXXXX779]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50482": {
+      "content": "[XXXXX17]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50483": {
+      "content": "[XXXXX377]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50484": {
+      "content": "[XXXXX467]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50485": {
+      "content": "[XXXXX917]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50486": {
+      "content": "[XXXXX830]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50487": {
+      "content": "[XXXXX533]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50488": {
+      "content": "[XXXXX862]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50489": {
+      "content": "[XXXXX1041]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50490": {
+      "content": "[XXXXX542]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50491": {
+      "content": "[XXXXX595]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50492": {
+      "content": "[XXXXX353]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50493": {
+      "content": "[XXXXX181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50494": {
+      "content": "[XXXXX662]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50495": {
+      "content": "[XXXXX1195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50496": {
+      "content": "[XXXXX435]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50497": {
+      "content": "[XXXXX1051]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50498": {
+      "content": "[XXXXX703]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50499": {
+      "content": "[XXXXX1140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50500": {
+      "content": "[XXXXX750]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50501": {
+      "content": "[XXXXX57]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50502": {
+      "content": "[XXXXX75]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50503": {
+      "content": "[XXXXX293]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50504": {
+      "content": "[XXXXX681]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50505": {
+      "content": "[XXXXX46]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50506": {
+      "content": "[XXXXX30]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50507": {
+      "content": "[XXXXX402]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50508": {
+      "content": "[XXXXX803]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50509": {
+      "content": "[XXXXX821]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50510": {
+      "content": "[XXXXX871]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50511": {
+      "content": "[XXXXX980]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50512": {
+      "content": "[XXXXX990]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50513": {
+      "content": "[XXXXX626]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50514": {
+      "content": "[XXXXX90]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50515": {
+      "content": "[XXXXX77]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50516": {
+      "content": "[XXXXX819]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50517": {
+      "content": "[XXXXX436]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50518": {
+      "content": "[XXXXX306]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50519": {
+      "content": "[XXXXX434]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50520": {
+      "content": "[XXXXX88]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50521": {
+      "content": "[XXXXX184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50522": {
+      "content": "[XXXXX290]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50523": {
+      "content": "[XXXXX216]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50524": {
+      "content": "[XXXXX176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50525": {
+      "content": "[XXXXX747]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50526": {
+      "content": "[XXXXX938]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50527": {
+      "content": "[XXXXX442]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50528": {
+      "content": "[XXXXX301]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50529": {
+      "content": "[XXXXX1015]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50530": {
+      "content": "[XXXXX520]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50531": {
+      "content": "[XXXXX829]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50532": {
+      "content": "[XXXXX106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50533": {
+      "content": "[XXXXX1048]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50534": {
+      "content": "[XXXXX923]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50535": {
+      "content": "[XXXXX958]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50536": {
+      "content": "[XXXXX1130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50537": {
+      "content": "[XXXXX89]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50538": {
+      "content": "[XXXXX548]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50539": {
+      "content": "[XXXXX863]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50540": {
+      "content": "[XXXXX444]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50541": {
+      "content": "[XXXXX1149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50542": {
+      "content": "[XXXXX866]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50543": {
+      "content": "[XXXXX109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50544": {
+      "content": "[XXXXX550]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50545": {
+      "content": "[XXXXX727]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50546": {
+      "content": "[XXXXX646]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50547": {
+      "content": "[XXXXX702]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50548": {
+      "content": "[XXXXX204]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50549": {
+      "content": "[XXXXX1000]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50550": {
+      "content": "[XXXXX591]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50551": {
+      "content": "[XXXXX1128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50552": {
+      "content": "[XXXXX937]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50553": {
+      "content": "[XXXXX141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50554": {
+      "content": "[XXXXX273]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50555": {
+      "content": "[XXXXX1183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50556": {
+      "content": "[XXXXX765]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50557": {
+      "content": "[XXXXX371]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50558": {
+      "content": "[XXXXX256]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50559": {
+      "content": "[XXXXX964]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50560": {
+      "content": "[XXXXX1148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50561": {
+      "content": "[XXXXX930]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50562": {
+      "content": "[XXXXX212]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50563": {
+      "content": "[XXXXX133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50564": {
+      "content": "[XXXXX608]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50565": {
+      "content": "[XXXXX281]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50566": {
+      "content": "[XXXXX1045]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50567": {
+      "content": "[XXXXX928]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50568": {
+      "content": "[XXXXX1154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50569": {
+      "content": "[XXXXX334]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50570": {
+      "content": "[XXXXX861]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50571": {
+      "content": "[XXXXX87]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50572": {
+      "content": "[XXXXX941]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50573": {
+      "content": "[XXXXX359]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50574": {
+      "content": "[XXXXX55]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50575": {
+      "content": "[XXXXX842]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50576": {
+      "content": "[XXXXX427]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50577": {
+      "content": "[XXXXX491]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50578": {
+      "content": "[XXXXX137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50579": {
+      "content": "[XXXXX47]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50580": {
+      "content": "[XXXXX511]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50581": {
+      "content": "[XXXXX81]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50582": {
+      "content": "[XXXXX139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50583": {
+      "content": "[XXXXX226]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50584": {
+      "content": "[XXXXX563]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50585": {
+      "content": "[XXXXX708]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50586": {
+      "content": "[XXXXX820]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50587": {
+      "content": "[XXXXX65]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50588": {
+      "content": "[XXXXX381]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50589": {
+      "content": "[XXXXX22]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50590": {
+      "content": "[XXXXX1064]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50591": {
+      "content": "[XXXXX874]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50592": {
+      "content": "[XXXXX944]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50593": {
+      "content": "[XXXXX6]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50594": {
+      "content": "[XXXXX313]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50595": {
+      "content": "[XXXXX471]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50596": {
+      "content": "[XXXXX1118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50597": {
+      "content": "[XXXXX849]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50598": {
+      "content": "[XXXXX483]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50599": {
+      "content": "[XXXXX713]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50600": {
+      "content": "[XXXXX222]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50601": {
+      "content": "[XXXXX640]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50602": {
+      "content": "[XXXXX12]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50603": {
+      "content": "[XXXXX285]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50604": {
+      "content": "[XXXXX327]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50605": {
+      "content": "[XXXXX378]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50606": {
+      "content": "[XXXXX790]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50607": {
+      "content": "[XXXXX1179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50608": {
+      "content": "[XXXXX15]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50609": {
+      "content": "[XXXXX229]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50610": {
+      "content": "[XXXXX771]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50611": {
+      "content": "[XXXXX559]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50612": {
+      "content": "[XXXXX253]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50613": {
+      "content": "[XXXXX644]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50614": {
+      "content": "[XXXXX811]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50615": {
+      "content": "[XXXXX554]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50616": {
+      "content": "[XXXXX744]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50617": {
+      "content": "[XXXXX786]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50618": {
+      "content": "[XXXXX913]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50619": {
+      "content": "[XXXXX966]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50620": {
+      "content": "[XXXXX972]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50621": {
+      "content": "[XXXXX664]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50622": {
+      "content": "[XXXXX1131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50623": {
+      "content": "[XXXXX1132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50624": {
+      "content": "[XXXXX376]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50625": {
+      "content": "[XXXXX672]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50626": {
+      "content": "[XXXXX1013]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50627": {
+      "content": "[XXXXX328]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50628": {
+      "content": "[XXXXX889]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50629": {
+      "content": "[XXXXX1141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50630": {
+      "content": "[XXXXX429]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50631": {
+      "content": "[XXXXX114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50632": {
+      "content": "[XXXXX523]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50633": {
+      "content": "[XXXXX833]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50634": {
+      "content": "[XXXXX927]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50635": {
+      "content": "[XXXXX297]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50636": {
+      "content": "[XXXXX812]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50637": {
+      "content": "[XXXXX1062]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50638": {
+      "content": "[XXXXX152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50639": {
+      "content": "[XXXXX1010]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50640": {
+      "content": "[XXXXX690]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50641": {
+      "content": "[XXXXX363]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50642": {
+      "content": "[XXXXX1103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50643": {
+      "content": "[XXXXX194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50644": {
+      "content": "[XXXXX844]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50645": {
+      "content": "[XXXXX667]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50646": {
+      "content": "[XXXXX720]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50647": {
+      "content": "[XXXXX770]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50648": {
+      "content": "[XXXXX515]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50649": {
+      "content": "[XXXXX196]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50650": {
+      "content": "[XXXXX283]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50651": {
+      "content": "[XXXXX95]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50652": {
+      "content": "[XXXXX528]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50653": {
+      "content": "[XXXXX749]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50654": {
+      "content": "[XXXXX934]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50655": {
+      "content": "[XXXXX1052]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50656": {
+      "content": "[XXXXX1188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50657": {
+      "content": "[XXXXX1001]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50658": {
+      "content": "[XXXXX785]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50659": {
+      "content": "[XXXXX393]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50660": {
+      "content": "[XXXXX502]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50661": {
+      "content": "[XXXXX404]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50662": {
+      "content": "[XXXXX129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50663": {
+      "content": "[XXXXX643]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50664": {
+      "content": "[XXXXX1086]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50665": {
+      "content": "[XXXXX1104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50666": {
+      "content": "[XXXXX326]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50667": {
+      "content": "[XXXXX330]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50668": {
+      "content": "[XXXXX620]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50669": {
+      "content": "[XXXXX193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50670": {
+      "content": "[XXXXX470]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50671": {
+      "content": "[XXXXX279]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50672": {
+      "content": "[XXXXX97]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50673": {
+      "content": "[XXXXX177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50674": {
+      "content": "[XXXXX510]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50675": {
+      "content": "[XXXXX225]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50676": {
+      "content": "[XXXXX572]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50677": {
+      "content": "[XXXXX777]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50678": {
+      "content": "[XXXXX1135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50679": {
+      "content": "[XXXXX1160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50680": {
+      "content": "[XXXXX558]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50681": {
+      "content": "[XXXXX416]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50682": {
+      "content": "[XXXXX246]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50683": {
+      "content": "[XXXXX799]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50684": {
+      "content": "[XXXXX153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50685": {
+      "content": "[XXXXX671]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50686": {
+      "content": "[XXXXX809]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50687": {
+      "content": "[XXXXX525]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50688": {
+      "content": "[XXXXX1004]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50689": {
+      "content": "[XXXXX1005]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50690": {
+      "content": "[XXXXX1194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50691": {
+      "content": "[XXXXX408]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50692": {
+      "content": "[XXXXX492]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50693": {
+      "content": "[XXXXX973]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50694": {
+      "content": "[XXXXX242]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50695": {
+      "content": "[XXXXX357]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50696": {
+      "content": "[XXXXX851]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50697": {
+      "content": "[XXXXX999]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50698": {
+      "content": "[XXXXX969]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50699": {
+      "content": "[XXXXX453]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50700": {
+      "content": "[XXXXX730]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50701": {
+      "content": "[XXXXX54]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50702": {
+      "content": "[XXXXX480]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50703": {
+      "content": "[XXXXX564]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50704": {
+      "content": "[XXXXX600]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50705": {
+      "content": "[XXXXX654]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50706": {
+      "content": "[XXXXX37]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50707": {
+      "content": "[XXXXX605]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50708": {
+      "content": "[XXXXX164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50709": {
+      "content": "[XXXXX395]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50710": {
+      "content": "[XXXXX401]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50711": {
+      "content": "[XXXXX446]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50712": {
+      "content": "[XXXXX658]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50713": {
+      "content": "[XXXXX60]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50714": {
+      "content": "[XXXXX107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50715": {
+      "content": "[XXXXX131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50716": {
+      "content": "[XXXXX387]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50717": {
+      "content": "[XXXXX67]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50718": {
+      "content": "[XXXXX743]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50719": {
+      "content": "[XXXXX657]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50720": {
+      "content": "[XXXXX418]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50721": {
+      "content": "[XXXXX787]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50722": {
+      "content": "[XXXXX838]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50723": {
+      "content": "[XXXXX298]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50724": {
+      "content": "[XXXXX1007]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50725": {
+      "content": "[XXXXX1027]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50726": {
+      "content": "[XXXXX1078]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50727": {
+      "content": "[XXXXX651]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50728": {
+      "content": "[XXXXX875]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50729": {
+      "content": "[XXXXX258]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50730": {
+      "content": "[XXXXX413]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50731": {
+      "content": "[XXXXX1092]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50732": {
+      "content": "[XXXXX124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50733": {
+      "content": "[XXXXX308]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50734": {
+      "content": "[XXXXX1085]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50735": {
+      "content": "[XXXXX1170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50736": {
+      "content": "[XXXXX38]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50737": {
+      "content": "[XXXXX438]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50738": {
+      "content": "[XXXXX475]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50739": {
+      "content": "[XXXXX900]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50740": {
+      "content": "[XXXXX263]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50741": {
+      "content": "[XXXXX166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50742": {
+      "content": "[XXXXX698]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50743": {
+      "content": "[XXXXX1127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50744": {
+      "content": "[XXXXX1181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50745": {
+      "content": "[XXXXX763]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50746": {
+      "content": "[XXXXX627]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50747": {
+      "content": "[XXXXX250]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50748": {
+      "content": "[XXXXX757]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50749": {
+      "content": "[XXXXX142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50750": {
+      "content": "[XXXXX794]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50751": {
+      "content": "[XXXXX128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50752": {
+      "content": "[XXXXX35]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50753": {
+      "content": "[XXXXX482]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50754": {
+      "content": "[XXXXX834]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50755": {
+      "content": "[XXXXX679]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50756": {
+      "content": "[XXXXX839]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50757": {
+      "content": "[XXXXX138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50758": {
+      "content": "[XXXXX1066]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50759": {
+      "content": "[XXXXX116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50760": {
+      "content": "[XXXXX317]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50761": {
+      "content": "[XXXXX490]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50762": {
+      "content": "[XXXXX443]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50763": {
+      "content": "[XXXXX879]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50764": {
+      "content": "[XXXXX1101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50765": {
+      "content": "[XXXXX711]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50766": {
+      "content": "[XXXXX123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50767": {
+      "content": "[XXXXX1152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50768": {
+      "content": "[XXXXX692]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50769": {
+      "content": "[XXXXX555]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50770": {
+      "content": "[XXXXX266]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50771": {
+      "content": "[XXXXX0]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50772": {
+      "content": "[XXXXX332]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50773": {
+      "content": "[XXXXX497]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50774": {
+      "content": "[XXXXX904]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50775": {
+      "content": "[XXXXX1019]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50776": {
+      "content": "[XXXXX709]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50777": {
+      "content": "[XXXXX351]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50778": {
+      "content": "[XXXXX764]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50779": {
+      "content": "[XXXXX625]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50780": {
+      "content": "[XXXXX798]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50781": {
+      "content": "[XXXXX205]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50782": {
+      "content": "[XXXXX922]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50783": {
+      "content": "[XXXXX1075]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50784": {
+      "content": "[XXXXX8]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50785": {
+      "content": "[XXXXX422]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50786": {
+      "content": "[XXXXX638]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50787": {
+      "content": "[XXXXX98]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50788": {
+      "content": "[XXXXX814]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50789": {
+      "content": "[XXXXX1057]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50790": {
+      "content": "[XXXXX1070]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50791": {
+      "content": "[XXXXX411]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50792": {
+      "content": "[XXXXX768]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50793": {
+      "content": "[XXXXX1165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50794": {
+      "content": "[XXXXX888]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50795": {
+      "content": "[XXXXX636]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50796": {
+      "content": "[XXXXX1047]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50797": {
+      "content": "[XXXXX960]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50798": {
+      "content": "[XXXXX910]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50799": {
+      "content": "[XXXXX42]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50800": {
+      "content": "[XXXXX238]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50801": {
+      "content": "[XXXXX383]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50802": {
+      "content": "[XXXXX1032]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50803": {
+      "content": "[XXXXX577]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50804": {
+      "content": "[XXXXX268]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50805": {
+      "content": "[XXXXX179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50806": {
+      "content": "[XXXXX1076]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50807": {
+      "content": "[XXXXX1167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50808": {
+      "content": "[XXXXX1172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50809": {
+      "content": "[XXXXX665]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50810": {
+      "content": "[XXXXX126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50811": {
+      "content": "[XXXXX347]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50812": {
+      "content": "[XXXXX544]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50813": {
+      "content": "[XXXXX1026]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50814": {
+      "content": "[XXXXX159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50815": {
+      "content": "[XXXXX503]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50816": {
+      "content": "[XXXXX583]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50817": {
+      "content": "[XXXXX668]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50818": {
+      "content": "[XXXXX1115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50819": {
+      "content": "[XXXXX112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50820": {
+      "content": "[XXXXX154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50821": {
+      "content": "[XXXXX761]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50822": {
+      "content": "[XXXXX540]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50823": {
+      "content": "[XXXXX755]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50824": {
+      "content": "[XXXXX255]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50825": {
+      "content": "[XXXXX459]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50826": {
+      "content": "[XXXXX1090]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50827": {
+      "content": "[XXXXX689]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50828": {
+      "content": "[XXXXX589]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50829": {
+      "content": "[XXXXX122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50830": {
+      "content": "[XXXXX789]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50831": {
+      "content": "[XXXXX481]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50832": {
+      "content": "[XXXXX1044]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50833": {
+      "content": "[XXXXX274]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50834": {
+      "content": "[XXXXX957]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50835": {
+      "content": "[XXXXX1121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50836": {
+      "content": "[XXXXX464]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50837": {
+      "content": "[XXXXX495]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50838": {
+      "content": "[XXXXX1097]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50839": {
+      "content": "[XXXXX581]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50840": {
+      "content": "[XXXXX200]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50841": {
+      "content": "[XXXXX954]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50842": {
+      "content": "[XXXXX48]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50843": {
+      "content": "[XXXXX855]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50844": {
+      "content": "[XXXXX419]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50845": {
+      "content": "[XXXXX919]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50846": {
+      "content": "[XXXXX451]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50847": {
+      "content": "[XXXXX869]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50848": {
+      "content": "[XXXXX1082]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50849": {
+      "content": "[XXXXX1185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50850": {
+      "content": "[XXXXX859]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50851": {
+      "content": "[XXXXX1139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50852": {
+      "content": "[XXXXX1072]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50853": {
+      "content": "[XXXXX220]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50854": {
+      "content": "[XXXXX465]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50855": {
+      "content": "[XXXXX1105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50856": {
+      "content": "[XXXXX1093]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50857": {
+      "content": "[XXXXX953]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50858": {
+      "content": "[XXXXX1187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50859": {
+      "content": "[XXXXX311]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50860": {
+      "content": "[XXXXX403]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50861": {
+      "content": "[XXXXX684]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50862": {
+      "content": "[XXXXX426]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50863": {
+      "content": "[XXXXX68]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50864": {
+      "content": "[XXXXX277]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50865": {
+      "content": "[XXXXX437]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50866": {
+      "content": "[XXXXX896]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50867": {
+      "content": "[XXXXX899]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50868": {
+      "content": "[XXXXX878]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50869": {
+      "content": "[XXXXX1073]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50870": {
+      "content": "[XXXXX774]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50871": {
+      "content": "[XXXXX315]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50872": {
+      "content": "[XXXXX631]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50873": {
+      "content": "[XXXXX223]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50874": {
+      "content": "[XXXXX86]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50875": {
+      "content": "[XXXXX607]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50876": {
+      "content": "[XXXXX149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50877": {
+      "content": "[XXXXX566]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50878": {
+      "content": "[XXXXX740]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50879": {
+      "content": "[XXXXX265]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50880": {
+      "content": "[XXXXX399]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50881": {
+      "content": "[XXXXX1053]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50882": {
+      "content": "[XXXXX1077]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50883": {
+      "content": "[XXXXX336]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50884": {
+      "content": "[XXXXX734]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50885": {
+      "content": "[XXXXX289]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50886": {
+      "content": "[XXXXX221]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50887": {
+      "content": "[XXXXX580]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50888": {
+      "content": "[XXXXX406]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50889": {
+      "content": "[XXXXX854]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50890": {
+      "content": "[XXXXX673]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50891": {
+      "content": "[XXXXX1146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50892": {
+      "content": "[XXXXX29]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50893": {
+      "content": "[XXXXX496]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50894": {
+      "content": "[XXXXX241]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50895": {
+      "content": "[XXXXX929]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50896": {
+      "content": "[XXXXX169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50897": {
+      "content": "[XXXXX1153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50898": {
+      "content": "[XXXXX440]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50899": {
+      "content": "[XXXXX385]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50900": {
+      "content": "[XXXXX499]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50901": {
+      "content": "[XXXXX718]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50902": {
+      "content": "[XXXXX848]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50903": {
+      "content": "[XXXXX877]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50904": {
+      "content": "[XXXXX641]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50905": {
+      "content": "[XXXXX1137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50906": {
+      "content": "[XXXXX269]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50907": {
+      "content": "[XXXXX521]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50908": {
+      "content": "[XXXXX234]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50909": {
+      "content": "[XXXXX987]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50910": {
+      "content": "[XXXXX741]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50911": {
+      "content": "[XXXXX349]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50912": {
+      "content": "[XXXXX93]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50913": {
+      "content": "[XXXXX247]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50914": {
+      "content": "[XXXXX961]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50915": {
+      "content": "[XXXXX1120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50916": {
+      "content": "[XXXXX369]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50917": {
+      "content": "[XXXXX479]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50918": {
+      "content": "[XXXXX892]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50919": {
+      "content": "[XXXXX553]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50920": {
+      "content": "[XXXXX906]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50921": {
+      "content": "[XXXXX571]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50922": {
+      "content": "[XXXXX1046]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50923": {
+      "content": "[XXXXX206]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50924": {
+      "content": "[XXXXX488]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50925": {
+      "content": "[XXXXX445]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50926": {
+      "content": "[XXXXX524]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50927": {
+      "content": "[XXXXX228]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50928": {
+      "content": "[XXXXX998]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50929": {
+      "content": "[XXXXX675]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50930": {
+      "content": "[XXXXX732]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50931": {
+      "content": "[XXXXX1028]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50932": {
+      "content": "[XXXXX494]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50933": {
+      "content": "[XXXXX965]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50934": {
+      "content": "[XXXXX1021]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50935": {
+      "content": "[XXXXX726]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50936": {
+      "content": "[XXXXX168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50937": {
+      "content": "[XXXXX606]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50938": {
+      "content": "[XXXXX974]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50939": {
+      "content": "[XXXXX504]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50940": {
+      "content": "[XXXXX556]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50941": {
+      "content": "[XXXXX1159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50942": {
+      "content": "[XXXXX417]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50943": {
+      "content": "[XXXXX1175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50944": {
+      "content": "[XXXXX1142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50945": {
+      "content": "[XXXXX753]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50946": {
+      "content": "[XXXXX824]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50947": {
+      "content": "[XXXXX251]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50948": {
+      "content": "[XXXXX345]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50949": {
+      "content": "[XXXXX610]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50950": {
+      "content": "[XXXXX276]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50951": {
+      "content": "[XXXXX783]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50952": {
+      "content": "[XXXXX74]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50953": {
+      "content": "[XXXXX1050]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50954": {
+      "content": "[XXXXX71]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50955": {
+      "content": "[XXXXX360]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50956": {
+      "content": "[XXXXX512]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50957": {
+      "content": "[XXXXX341]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50958": {
+      "content": "[XXXXX375]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50959": {
+      "content": "[XXXXX637]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50960": {
+      "content": "[XXXXX1116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50961": {
+      "content": "[XXXXX9]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50962": {
+      "content": "[XXXXX738]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50963": {
+      "content": "[XXXXX856]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50964": {
+      "content": "[XXXXX979]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50965": {
+      "content": "[XXXXX825]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50966": {
+      "content": "[XXXXX852]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50967": {
+      "content": "[XXXXX215]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50968": {
+      "content": "[XXXXX91]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50969": {
+      "content": "[XXXXX257]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50970": {
+      "content": "[XXXXX325]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50971": {
+      "content": "[XXXXX368]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50972": {
+      "content": "[XXXXX1124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50973": {
+      "content": "[XXXXX188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50974": {
+      "content": "[XXXXX905]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50975": {
+      "content": "[XXXXX284]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50976": {
+      "content": "[XXXXX11]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50977": {
+      "content": "[XXXXX83]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50978": {
+      "content": "[XXXXX611]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50979": {
+      "content": "[XXXXX51]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50980": {
+      "content": "[XXXXX99]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50981": {
+      "content": "[XXXXX288]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50982": {
+      "content": "[XXXXX945]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50983": {
+      "content": "[XXXXX975]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50984": {
+      "content": "[XXXXX282]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50985": {
+      "content": "[XXXXX1068]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50986": {
+      "content": "[XXXXX1180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50987": {
+      "content": "[XXXXX574]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50988": {
+      "content": "[XXXXX305]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50989": {
+      "content": "[XXXXX565]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50990": {
+      "content": "[XXXXX865]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50991": {
+      "content": "[XXXXX1014]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50992": {
+      "content": "[XXXXX1138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50993": {
+      "content": "[XXXXX134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50994": {
+      "content": "[XXXXX321]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50995": {
+      "content": "[XXXXX752]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50996": {
+      "content": "[XXXXX108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50997": {
+      "content": "[XXXXX339]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50998": {
+      "content": "[XXXXX893]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50999": {
+      "content": "[XXXXX1177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51000": {
+      "content": "[XXXXX988]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51001": {
+      "content": "[XXXXX719]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51002": {
+      "content": "[XXXXX1059]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51003": {
+      "content": "[XXXXX421]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51004": {
+      "content": "[XXXXX670]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51005": {
+      "content": "[XXXXX949]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51006": {
+      "content": "[XXXXX14]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51007": {
+      "content": "[XXXXX1087]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51008": {
+      "content": "[XXXXX382]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51009": {
+      "content": "[XXXXX531]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51010": {
+      "content": "[XXXXX1079]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51011": {
+      "content": "[XXXXX1067]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51012": {
+      "content": "[XXXXX655]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51013": {
+      "content": "[XXXXX340]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51014": {
+      "content": "[XXXXX398]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51015": {
+      "content": "[XXXXX175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51016": {
+      "content": "[XXXXX232]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51017": {
+      "content": "[XXXXX244]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51018": {
+      "content": "[XXXXX568]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51019": {
+      "content": "[XXXXX1110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51020": {
+      "content": "[XXXXX191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51021": {
+      "content": "[XXXXX931]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51022": {
+      "content": "[XXXXX832]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51023": {
+      "content": "[XXXXX1030]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51024": {
+      "content": "[XXXXX144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51025": {
+      "content": "[XXXXX1102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51026": {
+      "content": "[XXXXX300]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51027": {
+      "content": "[XXXXX996]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51028": {
+      "content": "[XXXXX248]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51029": {
+      "content": "[XXXXX66]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51030": {
+      "content": "[XXXXX735]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51031": {
+      "content": "[XXXXX20]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51032": {
+      "content": "[XXXXX694]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51033": {
+      "content": "[XXXXX845]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51034": {
+      "content": "[XXXXX500]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51035": {
+      "content": "[XXXXX613]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51036": {
+      "content": "[XXXXX117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51037": {
+      "content": "[XXXXX886]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51038": {
+      "content": "[XXXXX261]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51039": {
+      "content": "[XXXXX567]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51040": {
+      "content": "[XXXXX541]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51041": {
+      "content": "[XXXXX529]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51042": {
+      "content": "[XXXXX699]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51043": {
+      "content": "[XXXXX715]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51044": {
+      "content": "[XXXXX1003]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51045": {
+      "content": "[XXXXX518]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51046": {
+      "content": "[XXXXX891]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51047": {
+      "content": "[XXXXX192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51048": {
+      "content": "[XXXXX53]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51049": {
+      "content": "[XXXXX428]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51050": {
+      "content": "[XXXXX183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51051": {
+      "content": "[XXXXX850]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51052": {
+      "content": "[XXXXX539]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51053": {
+      "content": "[XXXXX527]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51054": {
+      "content": "[XXXXX660]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51055": {
+      "content": "[XXXXX409]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51056": {
+      "content": "[XXXXX1122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51057": {
+      "content": "[XXXXX898]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51058": {
+      "content": "[XXXXX858]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51059": {
+      "content": "[XXXXX534]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51060": {
+      "content": "[XXXXX756]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51061": {
+      "content": "[XXXXX63]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51062": {
+      "content": "[XXXXX49]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51063": {
+      "content": "[XXXXX1106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51064": {
+      "content": "[XXXXX111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51065": {
+      "content": "[XXXXX955]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51066": {
+      "content": "[XXXXX309]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51067": {
+      "content": "[XXXXX538]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51068": {
+      "content": "[XXXXX823]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51069": {
+      "content": "[XXXXX867]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51070": {
+      "content": "[XXXXX587]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51071": {
+      "content": "[XXXXX243]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51072": {
+      "content": "[XXXXX677]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51073": {
+      "content": "[XXXXX1017]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51074": {
+      "content": "[XXXXX173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51075": {
+      "content": "[XXXXX682]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51076": {
+      "content": "[XXXXX1184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51077": {
+      "content": "[XXXXX1009]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51078": {
+      "content": "[XXXXX704]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51079": {
+      "content": "[XXXXX532]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51080": {
+      "content": "[XXXXX901]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51081": {
+      "content": "[XXXXX120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51082": {
+      "content": "[XXXXX388]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51083": {
+      "content": "[XXXXX405]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51084": {
+      "content": "[XXXXX788]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51085": {
+      "content": "[XXXXX728]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51086": {
+      "content": "[XXXXX425]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51087": {
+      "content": "[XXXXX883]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51088": {
+      "content": "[XXXXX837]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51089": {
+      "content": "[XXXXX350]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51090": {
+      "content": "[XXXXX716]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51091": {
+      "content": "[XXXXX579]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51092": {
+      "content": "[XXXXX909]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51093": {
+      "content": "[XXXXX884]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51094": {
+      "content": "[XXXXX1011]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51095": {
+      "content": "[XXXXX372]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51096": {
+      "content": "[XXXXX370]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51097": {
+      "content": "[XXXXX468]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51098": {
+      "content": "[XXXXX688]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51099": {
+      "content": "[XXXXX56]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51100": {
+      "content": "[XXXXX653]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51101": {
+      "content": "[XXXXX623]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51102": {
+      "content": "[XXXXX552]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51103": {
+      "content": "[XXXXX314]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51104": {
+      "content": "[XXXXX1018]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51105": {
+      "content": "[XXXXX1091]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51106": {
+      "content": "[XXXXX342]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51107": {
+      "content": "[XXXXX1065]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51108": {
+      "content": "[XXXXX1161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51109": {
+      "content": "[XXXXX959]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51110": {
+      "content": "[XXXXX1035]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51111": {
+      "content": "[XXXXX530]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51112": {
+      "content": "[XXXXX69]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51113": {
+      "content": "[XXXXX489]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51114": {
+      "content": "[XXXXX1]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51115": {
+      "content": "[XXXXX207]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51116": {
+      "content": "[XXXXX433]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51117": {
+      "content": "[XXXXX358]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51118": {
+      "content": "[XXXXX601]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51119": {
+      "content": "[XXXXX2]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51120": {
+      "content": "[XXXXX722]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51121": {
+      "content": "[XXXXX985]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51122": {
+      "content": "[XXXXX908]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51123": {
+      "content": "[XXXXX1024]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51124": {
+      "content": "[XXXXX1111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51125": {
+      "content": "[XXXXX1113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51126": {
+      "content": "[XXXXX678]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51127": {
+      "content": "[XXXXX19]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51128": {
+      "content": "[XXXXX1186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51129": {
+      "content": "[XXXXX808]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51130": {
+      "content": "[XXXXX493]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51131": {
+      "content": "[XXXXX1155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51132": {
+      "content": "[XXXXX217]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51133": {
+      "content": "[XXXXX616]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51134": {
+      "content": "[XXXXX835]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51135": {
+      "content": "[XXXXX994]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51136": {
+      "content": "[XXXXX484]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51137": {
+      "content": "[XXXXX362]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51138": {
+      "content": "[XXXXX582]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51139": {
+      "content": "[XXXXX1034]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51140": {
+      "content": "[XXXXX772]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51141": {
+      "content": "[XXXXX457]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51142": {
+      "content": "[XXXXX604]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51143": {
+      "content": "[XXXXX456]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51144": {
+      "content": "[XXXXX145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51145": {
+      "content": "[XXXXX476]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51146": {
+      "content": "[XXXXX218]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51147": {
+      "content": "[XXXXX199]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51148": {
+      "content": "[XXXXX364]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51149": {
+      "content": "[XXXXX302]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51150": {
+      "content": "[XXXXX881]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51151": {
+      "content": "[XXXXX1088]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51152": {
+      "content": "[XXXXX356]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51153": {
+      "content": "[XXXXX936]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51154": {
+      "content": "[XXXXX978]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51155": {
+      "content": "[XXXXX895]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51156": {
+      "content": "[XXXXX993]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51157": {
+      "content": "[XXXXX458]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51158": {
+      "content": "[XXXXX1002]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51159": {
+      "content": "[XXXXX1022]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51160": {
+      "content": "[XXXXX25]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51161": {
+      "content": "[XXXXX766]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51162": {
+      "content": "[XXXXX64]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51163": {
+      "content": "[XXXXX211]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51164": {
+      "content": "[XXXXX82]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51165": {
+      "content": "[XXXXX634]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51166": {
+      "content": "[XXXXX661]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51167": {
+      "content": "[XXXXX748]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51168": {
+      "content": "[XXXXX778]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51169": {
+      "content": "[XXXXX24]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51170": {
+      "content": "[XXXXX448]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51171": {
+      "content": "[XXXXX887]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51172": {
+      "content": "[XXXXX890]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51173": {
+      "content": "[XXXXX754]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51174": {
+      "content": "[XXXXX343]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51175": {
+      "content": "[XXXXX1069]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51176": {
+      "content": "[XXXXX294]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51177": {
+      "content": "[XXXXX295]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51178": {
+      "content": "[XXXXX197]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51179": {
+      "content": "[XXXXX210]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51180": {
+      "content": "[XXXXX630]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51181": {
+      "content": "[XXXXX707]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51182": {
+      "content": "[XXXXX864]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51183": {
+      "content": "[XXXXX391]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51184": {
+      "content": "[XXXXX338]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51185": {
+      "content": "[XXXXX800]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51186": {
+      "content": "[XXXXX841]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51187": {
+      "content": "[XXXXX967]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51188": {
+      "content": "[XXXXX793]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51189": {
+      "content": "[XXXXX916]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51190": {
+      "content": "[XXXXX603]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51191": {
+      "content": "[XXXXX270]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51192": {
+      "content": "[XXXXX105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51193": {
+      "content": "[XXXXX1016]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51194": {
+      "content": "[XXXXX804]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51195": {
+      "content": "[XXXXX264]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51196": {
+      "content": "[XXXXX155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51197": {
+      "content": "[XXXXX1190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51198": {
+      "content": "[XXXXX813]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51199": {
+      "content": "[XXXXX546]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "keep_accents": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}
diff --git a/checkpoint-4500/trainer_state.json b/checkpoint-4500/trainer_state.json
new file mode 100644
index 0000000..e07082b
--- /dev/null
+++ b/checkpoint-4500/trainer_state.json
@@ -0,0 +1,9133 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 3.728251864125932,
+  "eval_steps": 500,
+  "global_step": 4500,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "entropy": 7.218191003799438,
+      "epoch": 0.004142502071251036,
+      "grad_norm": 1.265625,
+      "learning_rate": 2e-06,
+      "loss": 6.8898,
+      "mean_token_accuracy": 0.08805170804262161,
+      "num_tokens": 9149.0,
+      "step": 5
+    },
+    {
+      "entropy": 7.191673707962036,
+      "epoch": 0.008285004142502071,
+      "grad_norm": 1.5078125,
+      "learning_rate": 4.5e-06,
+      "loss": 6.7268,
+      "mean_token_accuracy": 0.09304728880524635,
+      "num_tokens": 16800.0,
+      "step": 10
+    },
+    {
+      "entropy": 7.134524202346801,
+      "epoch": 0.012427506213753107,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7e-06,
+      "loss": 6.8905,
+      "mean_token_accuracy": 0.0921505056321621,
+      "num_tokens": 26617.0,
+      "step": 15
+    },
+    {
+      "entropy": 7.115550088882446,
+      "epoch": 0.016570008285004142,
+      "grad_norm": 1.25,
+      "learning_rate": 9.5e-06,
+      "loss": 6.8021,
+      "mean_token_accuracy": 0.09268744736909866,
+      "num_tokens": 35855.0,
+      "step": 20
+    },
+    {
+      "entropy": 7.12396879196167,
+      "epoch": 0.020712510356255178,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.2e-05,
+      "loss": 7.0094,
+      "mean_token_accuracy": 0.08752714470028877,
+      "num_tokens": 45644.0,
+      "step": 25
+    },
+    {
+      "entropy": 7.054446792602539,
+      "epoch": 0.024855012427506214,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.4500000000000002e-05,
+      "loss": 6.8922,
+      "mean_token_accuracy": 0.09398627206683159,
+      "num_tokens": 54641.0,
+      "step": 30
+    },
+    {
+      "entropy": 7.012255907058716,
+      "epoch": 0.02899751449875725,
+      "grad_norm": 1.0234375,
+      "learning_rate": 1.7000000000000003e-05,
+      "loss": 6.7519,
+      "mean_token_accuracy": 0.08958807587623596,
+      "num_tokens": 63924.0,
+      "step": 35
+    },
+    {
+      "entropy": 7.068031549453735,
+      "epoch": 0.033140016570008285,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.95e-05,
+      "loss": 6.89,
+      "mean_token_accuracy": 0.09437783882021904,
+      "num_tokens": 73452.0,
+      "step": 40
+    },
+    {
+      "entropy": 7.06072301864624,
+      "epoch": 0.037282518641259324,
+      "grad_norm": 1.0234375,
+      "learning_rate": 2.2e-05,
+      "loss": 6.9455,
+      "mean_token_accuracy": 0.0851291574537754,
+      "num_tokens": 82731.0,
+      "step": 45
+    },
+    {
+      "entropy": 7.090083169937134,
+      "epoch": 0.041425020712510356,
+      "grad_norm": 1.1015625,
+      "learning_rate": 2.4500000000000003e-05,
+      "loss": 6.7734,
+      "mean_token_accuracy": 0.09048294499516488,
+      "num_tokens": 92626.0,
+      "step": 50
+    },
+    {
+      "entropy": 7.149203157424926,
+      "epoch": 0.045567522783761395,
+      "grad_norm": 1.21875,
+      "learning_rate": 2.7e-05,
+      "loss": 6.9497,
+      "mean_token_accuracy": 0.08217904865741729,
+      "num_tokens": 101380.0,
+      "step": 55
+    },
+    {
+      "entropy": 7.119951963424683,
+      "epoch": 0.04971002485501243,
+      "grad_norm": 1.046875,
+      "learning_rate": 2.95e-05,
+      "loss": 6.8604,
+      "mean_token_accuracy": 0.09202293381094932,
+      "num_tokens": 109895.0,
+      "step": 60
+    },
+    {
+      "entropy": 7.2014998435974125,
+      "epoch": 0.053852526926263466,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.2e-05,
+      "loss": 6.8449,
+      "mean_token_accuracy": 0.09257669150829315,
+      "num_tokens": 119203.0,
+      "step": 65
+    },
+    {
+      "entropy": 7.1111664295196535,
+      "epoch": 0.0579950289975145,
+      "grad_norm": 1.1484375,
+      "learning_rate": 3.4500000000000005e-05,
+      "loss": 6.7903,
+      "mean_token_accuracy": 0.09657297283411026,
+      "num_tokens": 127572.0,
+      "step": 70
+    },
+    {
+      "entropy": 7.04930944442749,
+      "epoch": 0.06213753106876554,
+      "grad_norm": 1.03125,
+      "learning_rate": 3.7e-05,
+      "loss": 6.8304,
+      "mean_token_accuracy": 0.09063600301742554,
+      "num_tokens": 137161.0,
+      "step": 75
+    },
+    {
+      "entropy": 7.044711875915527,
+      "epoch": 0.06628003314001657,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.95e-05,
+      "loss": 6.9451,
+      "mean_token_accuracy": 0.08874713778495788,
+      "num_tokens": 145991.0,
+      "step": 80
+    },
+    {
+      "entropy": 7.130092525482178,
+      "epoch": 0.07042253521126761,
+      "grad_norm": 1.0546875,
+      "learning_rate": 4.2000000000000004e-05,
+      "loss": 6.8464,
+      "mean_token_accuracy": 0.08955071866512299,
+      "num_tokens": 154927.0,
+      "step": 85
+    },
+    {
+      "entropy": 7.090402746200562,
+      "epoch": 0.07456503728251865,
+      "grad_norm": 1.34375,
+      "learning_rate": 4.45e-05,
+      "loss": 6.7595,
+      "mean_token_accuracy": 0.09832768961787224,
+      "num_tokens": 163234.0,
+      "step": 90
+    },
+    {
+      "entropy": 7.08957576751709,
+      "epoch": 0.07870753935376967,
+      "grad_norm": 1.015625,
+      "learning_rate": 4.7000000000000004e-05,
+      "loss": 6.7163,
+      "mean_token_accuracy": 0.09379880875349045,
+      "num_tokens": 171554.0,
+      "step": 95
+    },
+    {
+      "entropy": 7.044517278671265,
+      "epoch": 0.08285004142502071,
+      "grad_norm": 1.1328125,
+      "learning_rate": 4.9500000000000004e-05,
+      "loss": 6.8173,
+      "mean_token_accuracy": 0.0955286517739296,
+      "num_tokens": 180171.0,
+      "step": 100
+    },
+    {
+      "entropy": 7.050950908660889,
+      "epoch": 0.08699254349627175,
+      "grad_norm": 1.0859375,
+      "learning_rate": 5.2e-05,
+      "loss": 6.761,
+      "mean_token_accuracy": 0.09741089940071106,
+      "num_tokens": 189216.0,
+      "step": 105
+    },
+    {
+      "entropy": 7.173562717437744,
+      "epoch": 0.09113504556752279,
+      "grad_norm": 1.015625,
+      "learning_rate": 5.45e-05,
+      "loss": 6.9519,
+      "mean_token_accuracy": 0.08675800338387489,
+      "num_tokens": 200022.0,
+      "step": 110
+    },
+    {
+      "entropy": 7.183744478225708,
+      "epoch": 0.09527754763877382,
+      "grad_norm": 1.2265625,
+      "learning_rate": 5.7e-05,
+      "loss": 6.8642,
+      "mean_token_accuracy": 0.09210581332445145,
+      "num_tokens": 208686.0,
+      "step": 115
+    },
+    {
+      "entropy": 7.121539115905762,
+      "epoch": 0.09942004971002485,
+      "grad_norm": 1.1875,
+      "learning_rate": 5.9499999999999996e-05,
+      "loss": 6.8829,
+      "mean_token_accuracy": 0.09462191313505172,
+      "num_tokens": 218266.0,
+      "step": 120
+    },
+    {
+      "entropy": 7.006736946105957,
+      "epoch": 0.1035625517812759,
+      "grad_norm": 1.046875,
+      "learning_rate": 6.2e-05,
+      "loss": 6.7523,
+      "mean_token_accuracy": 0.08771666437387467,
+      "num_tokens": 227658.0,
+      "step": 125
+    },
+    {
+      "entropy": 7.040027761459351,
+      "epoch": 0.10770505385252693,
+      "grad_norm": 1.1015625,
+      "learning_rate": 6.450000000000001e-05,
+      "loss": 6.7014,
+      "mean_token_accuracy": 0.1004502885043621,
+      "num_tokens": 236301.0,
+      "step": 130
+    },
+    {
+      "entropy": 7.106470441818237,
+      "epoch": 0.11184755592377796,
+      "grad_norm": 1.1171875,
+      "learning_rate": 6.7e-05,
+      "loss": 6.8424,
+      "mean_token_accuracy": 0.08812138065695763,
+      "num_tokens": 246355.0,
+      "step": 135
+    },
+    {
+      "entropy": 7.174679756164551,
+      "epoch": 0.115990057995029,
+      "grad_norm": 1.15625,
+      "learning_rate": 6.950000000000001e-05,
+      "loss": 6.8174,
+      "mean_token_accuracy": 0.0924198254942894,
+      "num_tokens": 256023.0,
+      "step": 140
+    },
+    {
+      "entropy": 7.10174069404602,
+      "epoch": 0.12013256006628004,
+      "grad_norm": 0.9921875,
+      "learning_rate": 7.2e-05,
+      "loss": 6.9036,
+      "mean_token_accuracy": 0.08638993799686431,
+      "num_tokens": 266893.0,
+      "step": 145
+    },
+    {
+      "entropy": 7.019921684265137,
+      "epoch": 0.12427506213753108,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7.45e-05,
+      "loss": 6.6606,
+      "mean_token_accuracy": 0.08872481286525727,
+      "num_tokens": 276075.0,
+      "step": 150
+    },
+    {
+      "entropy": 7.042754888534546,
+      "epoch": 0.12841756420878211,
+      "grad_norm": 1.25,
+      "learning_rate": 7.7e-05,
+      "loss": 6.7532,
+      "mean_token_accuracy": 0.09296932220458984,
+      "num_tokens": 285529.0,
+      "step": 155
+    },
+    {
+      "entropy": 7.064399909973145,
+      "epoch": 0.13256006628003314,
+      "grad_norm": 1.15625,
+      "learning_rate": 7.950000000000001e-05,
+      "loss": 6.762,
+      "mean_token_accuracy": 0.09406789913773536,
+      "num_tokens": 294403.0,
+      "step": 160
+    },
+    {
+      "entropy": 7.152362823486328,
+      "epoch": 0.13670256835128416,
+      "grad_norm": 1.28125,
+      "learning_rate": 8.2e-05,
+      "loss": 6.8553,
+      "mean_token_accuracy": 0.09358441680669785,
+      "num_tokens": 303507.0,
+      "step": 165
+    },
+    {
+      "entropy": 7.071487474441528,
+      "epoch": 0.14084507042253522,
+      "grad_norm": 1.21875,
+      "learning_rate": 8.450000000000001e-05,
+      "loss": 6.7534,
+      "mean_token_accuracy": 0.09645206108689308,
+      "num_tokens": 312393.0,
+      "step": 170
+    },
+    {
+      "entropy": 6.956210470199585,
+      "epoch": 0.14498757249378624,
+      "grad_norm": 1.0859375,
+      "learning_rate": 8.7e-05,
+      "loss": 6.7226,
+      "mean_token_accuracy": 0.09953253641724587,
+      "num_tokens": 321309.0,
+      "step": 175
+    },
+    {
+      "entropy": 7.2200812816619875,
+      "epoch": 0.1491300745650373,
+      "grad_norm": 1.1328125,
+      "learning_rate": 8.95e-05,
+      "loss": 6.7879,
+      "mean_token_accuracy": 0.09582221284508705,
+      "num_tokens": 330217.0,
+      "step": 180
+    },
+    {
+      "entropy": 6.964824962615967,
+      "epoch": 0.15327257663628832,
+      "grad_norm": 1.2109375,
+      "learning_rate": 9.2e-05,
+      "loss": 6.8296,
+      "mean_token_accuracy": 0.09584516286849976,
+      "num_tokens": 339587.0,
+      "step": 185
+    },
+    {
+      "entropy": 7.104565525054932,
+      "epoch": 0.15741507870753935,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.45e-05,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.09563353508710862,
+      "num_tokens": 349367.0,
+      "step": 190
+    },
+    {
+      "entropy": 6.90956711769104,
+      "epoch": 0.1615575807787904,
+      "grad_norm": 1.1953125,
+      "learning_rate": 9.7e-05,
+      "loss": 6.6535,
+      "mean_token_accuracy": 0.09533214569091797,
+      "num_tokens": 358272.0,
+      "step": 195
+    },
+    {
+      "entropy": 7.184430170059204,
+      "epoch": 0.16570008285004142,
+      "grad_norm": 1.1875,
+      "learning_rate": 9.95e-05,
+      "loss": 6.8847,
+      "mean_token_accuracy": 0.09342379868030548,
+      "num_tokens": 367709.0,
+      "step": 200
+    },
+    {
+      "entropy": 7.108258152008057,
+      "epoch": 0.16984258492129245,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000102,
+      "loss": 6.7363,
+      "mean_token_accuracy": 0.09321728497743606,
+      "num_tokens": 376180.0,
+      "step": 205
+    },
+    {
+      "entropy": 7.143853282928466,
+      "epoch": 0.1739850869925435,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00010449999999999999,
+      "loss": 6.8927,
+      "mean_token_accuracy": 0.08639989122748375,
+      "num_tokens": 385636.0,
+      "step": 210
+    },
+    {
+      "entropy": 7.005528688430786,
+      "epoch": 0.17812758906379453,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000107,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.10387283116579056,
+      "num_tokens": 394486.0,
+      "step": 215
+    },
+    {
+      "entropy": 7.066776275634766,
+      "epoch": 0.18227009113504558,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0001095,
+      "loss": 6.7286,
+      "mean_token_accuracy": 0.09739693626761436,
+      "num_tokens": 403765.0,
+      "step": 220
+    },
+    {
+      "entropy": 6.9391695022583,
+      "epoch": 0.1864125932062966,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000112,
+      "loss": 6.7198,
+      "mean_token_accuracy": 0.09883175939321517,
+      "num_tokens": 412988.0,
+      "step": 225
+    },
+    {
+      "entropy": 7.029045248031617,
+      "epoch": 0.19055509527754763,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0001145,
+      "loss": 6.6219,
+      "mean_token_accuracy": 0.09850638806819915,
+      "num_tokens": 422096.0,
+      "step": 230
+    },
+    {
+      "entropy": 7.055552911758423,
+      "epoch": 0.19469759734879868,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011700000000000001,
+      "loss": 6.7907,
+      "mean_token_accuracy": 0.08912368193268776,
+      "num_tokens": 431333.0,
+      "step": 235
+    },
+    {
+      "entropy": 7.076433277130127,
+      "epoch": 0.1988400994200497,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00011949999999999999,
+      "loss": 6.825,
+      "mean_token_accuracy": 0.0998022735118866,
+      "num_tokens": 440382.0,
+      "step": 240
+    },
+    {
+      "entropy": 7.098494958877564,
+      "epoch": 0.20298260149130073,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000122,
+      "loss": 6.7184,
+      "mean_token_accuracy": 0.1035430908203125,
+      "num_tokens": 448469.0,
+      "step": 245
+    },
+    {
+      "entropy": 7.065437746047974,
+      "epoch": 0.2071251035625518,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001245,
+      "loss": 6.7562,
+      "mean_token_accuracy": 0.0973759837448597,
+      "num_tokens": 457356.0,
+      "step": 250
+    },
+    {
+      "entropy": 7.103154182434082,
+      "epoch": 0.2112676056338028,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000127,
+      "loss": 6.7821,
+      "mean_token_accuracy": 0.09721289053559304,
+      "num_tokens": 465928.0,
+      "step": 255
+    },
+    {
+      "entropy": 6.99681601524353,
+      "epoch": 0.21541010770505387,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0001295,
+      "loss": 6.6931,
+      "mean_token_accuracy": 0.09931288808584213,
+      "num_tokens": 475269.0,
+      "step": 260
+    },
+    {
+      "entropy": 6.960800266265869,
+      "epoch": 0.2195526097763049,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000132,
+      "loss": 6.679,
+      "mean_token_accuracy": 0.09512786641716957,
+      "num_tokens": 485450.0,
+      "step": 265
+    },
+    {
+      "entropy": 7.0514568328857425,
+      "epoch": 0.22369511184755592,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00013450000000000002,
+      "loss": 6.7347,
+      "mean_token_accuracy": 0.10228226557374001,
+      "num_tokens": 494029.0,
+      "step": 270
+    },
+    {
+      "entropy": 6.9516912460327145,
+      "epoch": 0.22783761391880697,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013700000000000002,
+      "loss": 6.676,
+      "mean_token_accuracy": 0.10202871784567832,
+      "num_tokens": 503253.0,
+      "step": 275
+    },
+    {
+      "entropy": 7.018160057067871,
+      "epoch": 0.231980115990058,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0001395,
+      "loss": 6.6685,
+      "mean_token_accuracy": 0.09529435187578202,
+      "num_tokens": 512857.0,
+      "step": 280
+    },
+    {
+      "entropy": 6.9714985370635985,
+      "epoch": 0.23612261806130902,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00014199999999999998,
+      "loss": 6.7719,
+      "mean_token_accuracy": 0.09288227260112762,
+      "num_tokens": 522319.0,
+      "step": 285
+    },
+    {
+      "entropy": 7.113205528259277,
+      "epoch": 0.24026512013256007,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0001445,
+      "loss": 6.7224,
+      "mean_token_accuracy": 0.09471780881285667,
+      "num_tokens": 531469.0,
+      "step": 290
+    },
+    {
+      "entropy": 6.976934480667114,
+      "epoch": 0.2444076222038111,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000147,
+      "loss": 6.756,
+      "mean_token_accuracy": 0.09480062946677208,
+      "num_tokens": 540470.0,
+      "step": 295
+    },
+    {
+      "entropy": 7.011937475204467,
+      "epoch": 0.24855012427506215,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0001495,
+      "loss": 6.7584,
+      "mean_token_accuracy": 0.09700122326612473,
+      "num_tokens": 550317.0,
+      "step": 300
+    },
+    {
+      "entropy": 7.0365160465240475,
+      "epoch": 0.2526926263463132,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000152,
+      "loss": 6.7067,
+      "mean_token_accuracy": 0.09434132501482964,
+      "num_tokens": 559409.0,
+      "step": 305
+    },
+    {
+      "entropy": 6.928857326507568,
+      "epoch": 0.25683512841756423,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00015450000000000001,
+      "loss": 6.768,
+      "mean_token_accuracy": 0.10764710158109665,
+      "num_tokens": 568726.0,
+      "step": 310
+    },
+    {
+      "entropy": 7.103991413116455,
+      "epoch": 0.2609776304888152,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000157,
+      "loss": 6.7179,
+      "mean_token_accuracy": 0.0976541943848133,
+      "num_tokens": 577926.0,
+      "step": 315
+    },
+    {
+      "entropy": 7.047203779220581,
+      "epoch": 0.2651201325600663,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001595,
+      "loss": 6.7448,
+      "mean_token_accuracy": 0.09809661954641342,
+      "num_tokens": 586695.0,
+      "step": 320
+    },
+    {
+      "entropy": 7.039609956741333,
+      "epoch": 0.26926263463131733,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000162,
+      "loss": 6.771,
+      "mean_token_accuracy": 0.0949723981320858,
+      "num_tokens": 596250.0,
+      "step": 325
+    },
+    {
+      "entropy": 7.063632202148438,
+      "epoch": 0.27340513670256833,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00016450000000000001,
+      "loss": 6.8221,
+      "mean_token_accuracy": 0.09051206335425377,
+      "num_tokens": 605761.0,
+      "step": 330
+    },
+    {
+      "entropy": 7.019326877593994,
+      "epoch": 0.2775476387738194,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00016700000000000002,
+      "loss": 6.7365,
+      "mean_token_accuracy": 0.09872144013643265,
+      "num_tokens": 614313.0,
+      "step": 335
+    },
+    {
+      "entropy": 7.037422132492066,
+      "epoch": 0.28169014084507044,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00016950000000000003,
+      "loss": 6.7692,
+      "mean_token_accuracy": 0.09455474764108658,
+      "num_tokens": 624470.0,
+      "step": 340
+    },
+    {
+      "entropy": 7.039082098007202,
+      "epoch": 0.28583264291632143,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00017199999999999998,
+      "loss": 6.6843,
+      "mean_token_accuracy": 0.09269843101501465,
+      "num_tokens": 633458.0,
+      "step": 345
+    },
+    {
+      "entropy": 6.942268037796021,
+      "epoch": 0.2899751449875725,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00017449999999999999,
+      "loss": 6.6939,
+      "mean_token_accuracy": 0.09877684414386749,
+      "num_tokens": 643251.0,
+      "step": 350
+    },
+    {
+      "entropy": 6.99584732055664,
+      "epoch": 0.29411764705882354,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000177,
+      "loss": 6.7635,
+      "mean_token_accuracy": 0.09713540598750114,
+      "num_tokens": 652005.0,
+      "step": 355
+    },
+    {
+      "entropy": 7.006586170196533,
+      "epoch": 0.2982601491300746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0001795,
+      "loss": 6.6575,
+      "mean_token_accuracy": 0.10120807588100433,
+      "num_tokens": 661003.0,
+      "step": 360
+    },
+    {
+      "entropy": 6.874996137619019,
+      "epoch": 0.3024026512013256,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000182,
+      "loss": 6.6294,
+      "mean_token_accuracy": 0.09844254851341247,
+      "num_tokens": 670221.0,
+      "step": 365
+    },
+    {
+      "entropy": 7.155635738372803,
+      "epoch": 0.30654515327257664,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001845,
+      "loss": 6.9236,
+      "mean_token_accuracy": 0.0882349319756031,
+      "num_tokens": 680756.0,
+      "step": 370
+    },
+    {
+      "entropy": 6.94540753364563,
+      "epoch": 0.3106876553438277,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000187,
+      "loss": 6.6157,
+      "mean_token_accuracy": 0.10289054960012436,
+      "num_tokens": 689641.0,
+      "step": 375
+    },
+    {
+      "entropy": 6.87992377281189,
+      "epoch": 0.3148301574150787,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001895,
+      "loss": 6.5696,
+      "mean_token_accuracy": 0.09839320331811904,
+      "num_tokens": 698209.0,
+      "step": 380
+    },
+    {
+      "entropy": 6.823869276046753,
+      "epoch": 0.31897265948632975,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000192,
+      "loss": 6.5736,
+      "mean_token_accuracy": 0.10355777889490128,
+      "num_tokens": 706712.0,
+      "step": 385
+    },
+    {
+      "entropy": 7.037634468078613,
+      "epoch": 0.3231151615575808,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0001945,
+      "loss": 6.8017,
+      "mean_token_accuracy": 0.09728012606501579,
+      "num_tokens": 716087.0,
+      "step": 390
+    },
+    {
+      "entropy": 6.911249494552612,
+      "epoch": 0.3272576636288318,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00019700000000000002,
+      "loss": 6.6465,
+      "mean_token_accuracy": 0.09347675815224647,
+      "num_tokens": 725913.0,
+      "step": 395
+    },
+    {
+      "entropy": 6.944440317153931,
+      "epoch": 0.33140016570008285,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019950000000000002,
+      "loss": 6.7201,
+      "mean_token_accuracy": 0.10362306237220764,
+      "num_tokens": 735020.0,
+      "step": 400
+    },
+    {
+      "entropy": 6.985636854171753,
+      "epoch": 0.3355426677713339,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000202,
+      "loss": 6.6216,
+      "mean_token_accuracy": 0.09469136893749237,
+      "num_tokens": 744299.0,
+      "step": 405
+    },
+    {
+      "entropy": 6.883630275726318,
+      "epoch": 0.3396851698425849,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00020449999999999998,
+      "loss": 6.6099,
+      "mean_token_accuracy": 0.09694516137242318,
+      "num_tokens": 753231.0,
+      "step": 410
+    },
+    {
+      "entropy": 6.825357389450073,
+      "epoch": 0.34382767191383595,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000207,
+      "loss": 6.6717,
+      "mean_token_accuracy": 0.10230854973196983,
+      "num_tokens": 763043.0,
+      "step": 415
+    },
+    {
+      "entropy": 7.016851997375488,
+      "epoch": 0.347970173985087,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0002095,
+      "loss": 6.6905,
+      "mean_token_accuracy": 0.09913048222661018,
+      "num_tokens": 771977.0,
+      "step": 420
+    },
+    {
+      "entropy": 6.820244407653808,
+      "epoch": 0.352112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000212,
+      "loss": 6.6243,
+      "mean_token_accuracy": 0.1011092983186245,
+      "num_tokens": 780285.0,
+      "step": 425
+    },
+    {
+      "entropy": 6.956075525283813,
+      "epoch": 0.35625517812758906,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002145,
+      "loss": 6.6593,
+      "mean_token_accuracy": 0.09649045094847679,
+      "num_tokens": 789980.0,
+      "step": 430
+    },
+    {
+      "entropy": 6.984846019744873,
+      "epoch": 0.3603976801988401,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021700000000000002,
+      "loss": 6.6275,
+      "mean_token_accuracy": 0.10474459528923034,
+      "num_tokens": 798700.0,
+      "step": 435
+    },
+    {
+      "entropy": 6.767291498184204,
+      "epoch": 0.36454018227009116,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002195,
+      "loss": 6.7208,
+      "mean_token_accuracy": 0.09600067660212516,
+      "num_tokens": 808758.0,
+      "step": 440
+    },
+    {
+      "entropy": 7.046369791030884,
+      "epoch": 0.36868268434134216,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000222,
+      "loss": 6.6666,
+      "mean_token_accuracy": 0.10458802133798599,
+      "num_tokens": 817692.0,
+      "step": 445
+    },
+    {
+      "entropy": 6.95425066947937,
+      "epoch": 0.3728251864125932,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002245,
+      "loss": 6.7146,
+      "mean_token_accuracy": 0.10474570766091347,
+      "num_tokens": 827052.0,
+      "step": 450
+    },
+    {
+      "entropy": 6.895345544815063,
+      "epoch": 0.37696768848384427,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00022700000000000002,
+      "loss": 6.7139,
+      "mean_token_accuracy": 0.1091882586479187,
+      "num_tokens": 836442.0,
+      "step": 455
+    },
+    {
+      "entropy": 6.922871923446655,
+      "epoch": 0.38111019055509526,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00022950000000000002,
+      "loss": 6.5775,
+      "mean_token_accuracy": 0.10118989571928978,
+      "num_tokens": 846441.0,
+      "step": 460
+    },
+    {
+      "entropy": 6.8815388679504395,
+      "epoch": 0.3852526926263463,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00023200000000000003,
+      "loss": 6.6215,
+      "mean_token_accuracy": 0.10475475937128068,
+      "num_tokens": 856108.0,
+      "step": 465
+    },
+    {
+      "entropy": 6.848587274551392,
+      "epoch": 0.38939519469759737,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00023449999999999998,
+      "loss": 6.5833,
+      "mean_token_accuracy": 0.10137399956583977,
+      "num_tokens": 865788.0,
+      "step": 470
+    },
+    {
+      "entropy": 6.886804008483887,
+      "epoch": 0.39353769676884837,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000237,
+      "loss": 6.6302,
+      "mean_token_accuracy": 0.09514767676591873,
+      "num_tokens": 874833.0,
+      "step": 475
+    },
+    {
+      "entropy": 6.751422643661499,
+      "epoch": 0.3976801988400994,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002395,
+      "loss": 6.5997,
+      "mean_token_accuracy": 0.10276172533631325,
+      "num_tokens": 883685.0,
+      "step": 480
+    },
+    {
+      "entropy": 6.881311464309692,
+      "epoch": 0.40182270091135047,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000242,
+      "loss": 6.6001,
+      "mean_token_accuracy": 0.09796027019619942,
+      "num_tokens": 893908.0,
+      "step": 485
+    },
+    {
+      "entropy": 6.934821891784668,
+      "epoch": 0.40596520298260147,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002445,
+      "loss": 6.7142,
+      "mean_token_accuracy": 0.09827135354280472,
+      "num_tokens": 903081.0,
+      "step": 490
+    },
+    {
+      "entropy": 6.7868632793426515,
+      "epoch": 0.4101077050538525,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000247,
+      "loss": 6.5522,
+      "mean_token_accuracy": 0.10336750745773315,
+      "num_tokens": 912515.0,
+      "step": 495
+    },
+    {
+      "entropy": 6.886235475540161,
+      "epoch": 0.4142502071251036,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002495,
+      "loss": 6.5797,
+      "mean_token_accuracy": 0.1070313923060894,
+      "num_tokens": 921056.0,
+      "step": 500
+    },
+    {
+      "epoch": 0.4142502071251036,
+      "eval_entropy": 6.836038604728194,
+      "eval_loss": 6.684774875640869,
+      "eval_mean_token_accuracy": 0.10272799217021034,
+      "eval_num_tokens": 921056.0,
+      "eval_runtime": 2.7891,
+      "eval_samples_per_second": 1343.421,
+      "eval_steps_per_second": 168.152,
+      "step": 500
+    },
+    {
+      "entropy": 6.7657403469085695,
+      "epoch": 0.4183927091963546,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000252,
+      "loss": 6.5317,
+      "mean_token_accuracy": 0.10417452603578567,
+      "num_tokens": 931112.0,
+      "step": 505
+    },
+    {
+      "entropy": 6.821895503997803,
+      "epoch": 0.4225352112676056,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0002545,
+      "loss": 6.6605,
+      "mean_token_accuracy": 0.0978618748486042,
+      "num_tokens": 941120.0,
+      "step": 510
+    },
+    {
+      "entropy": 6.886211729049682,
+      "epoch": 0.4266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000257,
+      "loss": 6.6044,
+      "mean_token_accuracy": 0.09737976416945457,
+      "num_tokens": 950041.0,
+      "step": 515
+    },
+    {
+      "entropy": 6.879851579666138,
+      "epoch": 0.43082021541010773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002595,
+      "loss": 6.5907,
+      "mean_token_accuracy": 0.10606569275259972,
+      "num_tokens": 958608.0,
+      "step": 520
+    },
+    {
+      "entropy": 6.886484861373901,
+      "epoch": 0.43496271748135873,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.000262,
+      "loss": 6.7158,
+      "mean_token_accuracy": 0.09990910813212395,
+      "num_tokens": 966901.0,
+      "step": 525
+    },
+    {
+      "entropy": 6.767313003540039,
+      "epoch": 0.4391052195526098,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026450000000000003,
+      "loss": 6.5504,
+      "mean_token_accuracy": 0.10768762230873108,
+      "num_tokens": 976198.0,
+      "step": 530
+    },
+    {
+      "entropy": 6.892781782150268,
+      "epoch": 0.44324772162386084,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026700000000000004,
+      "loss": 6.624,
+      "mean_token_accuracy": 0.09861580505967141,
+      "num_tokens": 985248.0,
+      "step": 535
+    },
+    {
+      "entropy": 6.772344255447388,
+      "epoch": 0.44739022369511183,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00026950000000000005,
+      "loss": 6.5014,
+      "mean_token_accuracy": 0.1071978710591793,
+      "num_tokens": 993289.0,
+      "step": 540
+    },
+    {
+      "entropy": 6.820696449279785,
+      "epoch": 0.4515327257663629,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027200000000000005,
+      "loss": 6.5909,
+      "mean_token_accuracy": 0.10533165782690049,
+      "num_tokens": 1001784.0,
+      "step": 545
+    },
+    {
+      "entropy": 6.935409688949585,
+      "epoch": 0.45567522783761394,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002745,
+      "loss": 6.5627,
+      "mean_token_accuracy": 0.10804210156202317,
+      "num_tokens": 1010445.0,
+      "step": 550
+    },
+    {
+      "entropy": 6.745790100097656,
+      "epoch": 0.45981772990886494,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000277,
+      "loss": 6.6184,
+      "mean_token_accuracy": 0.10709234476089477,
+      "num_tokens": 1019084.0,
+      "step": 555
+    },
+    {
+      "entropy": 6.7490733623504635,
+      "epoch": 0.463960231980116,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002795,
+      "loss": 6.5249,
+      "mean_token_accuracy": 0.10461713373661041,
+      "num_tokens": 1027263.0,
+      "step": 560
+    },
+    {
+      "entropy": 6.876884937286377,
+      "epoch": 0.46810273405136704,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00028199999999999997,
+      "loss": 6.6233,
+      "mean_token_accuracy": 0.09752989709377288,
+      "num_tokens": 1036275.0,
+      "step": 565
+    },
+    {
+      "entropy": 6.765736055374146,
+      "epoch": 0.47224523612261804,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002845,
+      "loss": 6.7015,
+      "mean_token_accuracy": 0.09858408868312836,
+      "num_tokens": 1045208.0,
+      "step": 570
+    },
+    {
+      "entropy": 6.9024957656860355,
+      "epoch": 0.4763877381938691,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000287,
+      "loss": 6.6287,
+      "mean_token_accuracy": 0.1026283286511898,
+      "num_tokens": 1054703.0,
+      "step": 575
+    },
+    {
+      "entropy": 6.647345924377442,
+      "epoch": 0.48053024026512015,
+      "grad_norm": 1.5,
+      "learning_rate": 0.0002895,
+      "loss": 6.4841,
+      "mean_token_accuracy": 0.10212503597140313,
+      "num_tokens": 1063652.0,
+      "step": 580
+    },
+    {
+      "entropy": 6.717900657653809,
+      "epoch": 0.48467274233637114,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000292,
+      "loss": 6.5873,
+      "mean_token_accuracy": 0.10145951434969902,
+      "num_tokens": 1072070.0,
+      "step": 585
+    },
+    {
+      "entropy": 6.997959756851197,
+      "epoch": 0.4888152444076222,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002945,
+      "loss": 6.6143,
+      "mean_token_accuracy": 0.10064447894692422,
+      "num_tokens": 1079992.0,
+      "step": 590
+    },
+    {
+      "entropy": 6.657160854339599,
+      "epoch": 0.49295774647887325,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000297,
+      "loss": 6.628,
+      "mean_token_accuracy": 0.10435748845338821,
+      "num_tokens": 1088862.0,
+      "step": 595
+    },
+    {
+      "entropy": 6.773271942138672,
+      "epoch": 0.4971002485501243,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002995,
+      "loss": 6.4317,
+      "mean_token_accuracy": 0.10795770138502121,
+      "num_tokens": 1097614.0,
+      "step": 600
+    },
+    {
+      "entropy": 6.7102379322052,
+      "epoch": 0.5012427506213754,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000302,
+      "loss": 6.6288,
+      "mean_token_accuracy": 0.10706980749964715,
+      "num_tokens": 1107347.0,
+      "step": 605
+    },
+    {
+      "entropy": 6.8672473430633545,
+      "epoch": 0.5053852526926264,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003045,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10073774978518486,
+      "num_tokens": 1116707.0,
+      "step": 610
+    },
+    {
+      "entropy": 6.764383840560913,
+      "epoch": 0.5095277547638773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000307,
+      "loss": 6.6549,
+      "mean_token_accuracy": 0.10234303548932075,
+      "num_tokens": 1126356.0,
+      "step": 615
+    },
+    {
+      "entropy": 6.787193298339844,
+      "epoch": 0.5136702568351285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003095,
+      "loss": 6.5847,
+      "mean_token_accuracy": 0.10079671740531922,
+      "num_tokens": 1136281.0,
+      "step": 620
+    },
+    {
+      "entropy": 6.713733196258545,
+      "epoch": 0.5178127589063795,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000312,
+      "loss": 6.5355,
+      "mean_token_accuracy": 0.10429632142186165,
+      "num_tokens": 1145466.0,
+      "step": 625
+    },
+    {
+      "entropy": 6.7503923892974855,
+      "epoch": 0.5219552609776305,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003145,
+      "loss": 6.5409,
+      "mean_token_accuracy": 0.10918259546160698,
+      "num_tokens": 1154225.0,
+      "step": 630
+    },
+    {
+      "entropy": 6.761834907531738,
+      "epoch": 0.5260977630488816,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000317,
+      "loss": 6.5885,
+      "mean_token_accuracy": 0.09673135951161385,
+      "num_tokens": 1163872.0,
+      "step": 635
+    },
+    {
+      "entropy": 6.69431324005127,
+      "epoch": 0.5302402651201326,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003195,
+      "loss": 6.5244,
+      "mean_token_accuracy": 0.10705070868134499,
+      "num_tokens": 1172695.0,
+      "step": 640
+    },
+    {
+      "entropy": 6.651590061187744,
+      "epoch": 0.5343827671913836,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000322,
+      "loss": 6.3962,
+      "mean_token_accuracy": 0.11006554961204529,
+      "num_tokens": 1181291.0,
+      "step": 645
+    },
+    {
+      "entropy": 6.782713270187378,
+      "epoch": 0.5385252692626347,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00032450000000000003,
+      "loss": 6.5715,
+      "mean_token_accuracy": 0.10394523739814758,
+      "num_tokens": 1189927.0,
+      "step": 650
+    },
+    {
+      "entropy": 6.705166435241699,
+      "epoch": 0.5426677713338857,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00032700000000000003,
+      "loss": 6.5043,
+      "mean_token_accuracy": 0.10940467119216919,
+      "num_tokens": 1197913.0,
+      "step": 655
+    },
+    {
+      "entropy": 6.670699262619019,
+      "epoch": 0.5468102734051367,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032950000000000004,
+      "loss": 6.4309,
+      "mean_token_accuracy": 0.11147961542010307,
+      "num_tokens": 1207032.0,
+      "step": 660
+    },
+    {
+      "entropy": 6.640204334259034,
+      "epoch": 0.5509527754763878,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00033200000000000005,
+      "loss": 6.5397,
+      "mean_token_accuracy": 0.10571447387337685,
+      "num_tokens": 1215710.0,
+      "step": 665
+    },
+    {
+      "entropy": 6.694819068908691,
+      "epoch": 0.5550952775476388,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033450000000000005,
+      "loss": 6.52,
+      "mean_token_accuracy": 0.10049431845545768,
+      "num_tokens": 1225619.0,
+      "step": 670
+    },
+    {
+      "entropy": 6.649594163894653,
+      "epoch": 0.5592377796188898,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000337,
+      "loss": 6.4407,
+      "mean_token_accuracy": 0.11157044768333435,
+      "num_tokens": 1235000.0,
+      "step": 675
+    },
+    {
+      "entropy": 6.612611961364746,
+      "epoch": 0.5633802816901409,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003395,
+      "loss": 6.4462,
+      "mean_token_accuracy": 0.108580531924963,
+      "num_tokens": 1243594.0,
+      "step": 680
+    },
+    {
+      "entropy": 6.843221950531006,
+      "epoch": 0.5675227837613919,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000342,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10460855960845947,
+      "num_tokens": 1252279.0,
+      "step": 685
+    },
+    {
+      "entropy": 6.760235929489136,
+      "epoch": 0.5716652858326429,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034449999999999997,
+      "loss": 6.559,
+      "mean_token_accuracy": 0.10665302500128745,
+      "num_tokens": 1261314.0,
+      "step": 690
+    },
+    {
+      "entropy": 6.55326566696167,
+      "epoch": 0.575807787903894,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000347,
+      "loss": 6.4337,
+      "mean_token_accuracy": 0.11188110187649727,
+      "num_tokens": 1270854.0,
+      "step": 695
+    },
+    {
+      "entropy": 6.618375587463379,
+      "epoch": 0.579950289975145,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003495,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.11392810270190239,
+      "num_tokens": 1279183.0,
+      "step": 700
+    },
+    {
+      "entropy": 6.626208257675171,
+      "epoch": 0.584092792046396,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000352,
+      "loss": 6.5015,
+      "mean_token_accuracy": 0.10761247500777245,
+      "num_tokens": 1288347.0,
+      "step": 705
+    },
+    {
+      "entropy": 6.6855669021606445,
+      "epoch": 0.5882352941176471,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003545,
+      "loss": 6.5036,
+      "mean_token_accuracy": 0.10823310390114785,
+      "num_tokens": 1297449.0,
+      "step": 710
+    },
+    {
+      "entropy": 6.710147094726563,
+      "epoch": 0.5923777961888981,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000357,
+      "loss": 6.4688,
+      "mean_token_accuracy": 0.10904998034238815,
+      "num_tokens": 1306232.0,
+      "step": 715
+    },
+    {
+      "entropy": 6.6553794860839846,
+      "epoch": 0.5965202982601492,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003595,
+      "loss": 6.4857,
+      "mean_token_accuracy": 0.11109372302889824,
+      "num_tokens": 1315073.0,
+      "step": 720
+    },
+    {
+      "entropy": 6.674065732955933,
+      "epoch": 0.6006628003314002,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000362,
+      "loss": 6.5301,
+      "mean_token_accuracy": 0.10648825243115426,
+      "num_tokens": 1324629.0,
+      "step": 725
+    },
+    {
+      "entropy": 6.700368881225586,
+      "epoch": 0.6048053024026512,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0003645,
+      "loss": 6.6444,
+      "mean_token_accuracy": 0.10443340390920638,
+      "num_tokens": 1334152.0,
+      "step": 730
+    },
+    {
+      "entropy": 6.779498624801636,
+      "epoch": 0.6089478044739023,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000367,
+      "loss": 6.5946,
+      "mean_token_accuracy": 0.10130336955189705,
+      "num_tokens": 1343063.0,
+      "step": 735
+    },
+    {
+      "entropy": 6.684298419952393,
+      "epoch": 0.6130903065451533,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0003695,
+      "loss": 6.5241,
+      "mean_token_accuracy": 0.10516620799899101,
+      "num_tokens": 1352632.0,
+      "step": 740
+    },
+    {
+      "entropy": 6.582866573333741,
+      "epoch": 0.6172328086164043,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000372,
+      "loss": 6.4712,
+      "mean_token_accuracy": 0.10765027329325676,
+      "num_tokens": 1361103.0,
+      "step": 745
+    },
+    {
+      "entropy": 6.643687963485718,
+      "epoch": 0.6213753106876554,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003745,
+      "loss": 6.4642,
+      "mean_token_accuracy": 0.10832677409052849,
+      "num_tokens": 1370658.0,
+      "step": 750
+    },
+    {
+      "entropy": 6.64506516456604,
+      "epoch": 0.6255178127589064,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000377,
+      "loss": 6.4878,
+      "mean_token_accuracy": 0.10808288529515267,
+      "num_tokens": 1379817.0,
+      "step": 755
+    },
+    {
+      "entropy": 6.640752458572388,
+      "epoch": 0.6296603148301574,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003795,
+      "loss": 6.4418,
+      "mean_token_accuracy": 0.10874675288796425,
+      "num_tokens": 1389329.0,
+      "step": 760
+    },
+    {
+      "entropy": 6.4627049446105955,
+      "epoch": 0.6338028169014085,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000382,
+      "loss": 6.4902,
+      "mean_token_accuracy": 0.10606684386730195,
+      "num_tokens": 1399279.0,
+      "step": 765
+    },
+    {
+      "entropy": 6.621781063079834,
+      "epoch": 0.6379453189726595,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003845,
+      "loss": 6.4146,
+      "mean_token_accuracy": 0.11267002299427986,
+      "num_tokens": 1408765.0,
+      "step": 770
+    },
+    {
+      "entropy": 6.736465692520142,
+      "epoch": 0.6420878210439105,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038700000000000003,
+      "loss": 6.5632,
+      "mean_token_accuracy": 0.10607504546642303,
+      "num_tokens": 1418615.0,
+      "step": 775
+    },
+    {
+      "entropy": 6.616378879547119,
+      "epoch": 0.6462303231151616,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038950000000000003,
+      "loss": 6.4664,
+      "mean_token_accuracy": 0.10207068845629692,
+      "num_tokens": 1427359.0,
+      "step": 780
+    },
+    {
+      "entropy": 6.70065336227417,
+      "epoch": 0.6503728251864126,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00039200000000000004,
+      "loss": 6.622,
+      "mean_token_accuracy": 0.1116428442299366,
+      "num_tokens": 1435516.0,
+      "step": 785
+    },
+    {
+      "entropy": 6.709064102172851,
+      "epoch": 0.6545153272576636,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00039450000000000005,
+      "loss": 6.5704,
+      "mean_token_accuracy": 0.10583743155002594,
+      "num_tokens": 1444438.0,
+      "step": 790
+    },
+    {
+      "entropy": 6.671351766586303,
+      "epoch": 0.6586578293289147,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00039700000000000005,
+      "loss": 6.4996,
+      "mean_token_accuracy": 0.11326526403427124,
+      "num_tokens": 1453740.0,
+      "step": 795
+    },
+    {
+      "entropy": 6.614573907852173,
+      "epoch": 0.6628003314001657,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003995,
+      "loss": 6.4874,
+      "mean_token_accuracy": 0.11111863479018211,
+      "num_tokens": 1462083.0,
+      "step": 800
+    },
+    {
+      "entropy": 6.484545516967773,
+      "epoch": 0.6669428334714167,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000402,
+      "loss": 6.4127,
+      "mean_token_accuracy": 0.1100592203438282,
+      "num_tokens": 1471459.0,
+      "step": 805
+    },
+    {
+      "entropy": 6.621589279174804,
+      "epoch": 0.6710853355426678,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004045,
+      "loss": 6.3972,
+      "mean_token_accuracy": 0.11681128293275833,
+      "num_tokens": 1480516.0,
+      "step": 810
+    },
+    {
+      "entropy": 6.421737241744995,
+      "epoch": 0.6752278376139188,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00040699999999999997,
+      "loss": 6.3,
+      "mean_token_accuracy": 0.11318568140268326,
+      "num_tokens": 1489268.0,
+      "step": 815
+    },
+    {
+      "entropy": 6.700246906280517,
+      "epoch": 0.6793703396851698,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004095,
+      "loss": 6.5174,
+      "mean_token_accuracy": 0.11110908538103104,
+      "num_tokens": 1498819.0,
+      "step": 820
+    },
+    {
+      "entropy": 6.622490644454956,
+      "epoch": 0.6835128417564209,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000412,
+      "loss": 6.501,
+      "mean_token_accuracy": 0.11033953949809075,
+      "num_tokens": 1507852.0,
+      "step": 825
+    },
+    {
+      "entropy": 6.59730544090271,
+      "epoch": 0.6876553438276719,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004145,
+      "loss": 6.5302,
+      "mean_token_accuracy": 0.11122860461473465,
+      "num_tokens": 1517538.0,
+      "step": 830
+    },
+    {
+      "entropy": 6.458763217926025,
+      "epoch": 0.6917978458989229,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000417,
+      "loss": 6.4061,
+      "mean_token_accuracy": 0.11324542313814163,
+      "num_tokens": 1525389.0,
+      "step": 835
+    },
+    {
+      "entropy": 6.57511887550354,
+      "epoch": 0.695940347970174,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004195,
+      "loss": 6.3741,
+      "mean_token_accuracy": 0.11116622686386109,
+      "num_tokens": 1534117.0,
+      "step": 840
+    },
+    {
+      "entropy": 6.522304344177246,
+      "epoch": 0.700082850041425,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000422,
+      "loss": 6.4029,
+      "mean_token_accuracy": 0.11315450444817543,
+      "num_tokens": 1542610.0,
+      "step": 845
+    },
+    {
+      "entropy": 6.5175107479095455,
+      "epoch": 0.704225352112676,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004245,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.1143906556069851,
+      "num_tokens": 1551771.0,
+      "step": 850
+    },
+    {
+      "entropy": 6.620167636871338,
+      "epoch": 0.7083678541839271,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.000427,
+      "loss": 6.5779,
+      "mean_token_accuracy": 0.10512799099087715,
+      "num_tokens": 1560231.0,
+      "step": 855
+    },
+    {
+      "entropy": 6.589151382446289,
+      "epoch": 0.7125103562551781,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004295,
+      "loss": 6.5346,
+      "mean_token_accuracy": 0.10532297939062119,
+      "num_tokens": 1569578.0,
+      "step": 860
+    },
+    {
+      "entropy": 6.563750839233398,
+      "epoch": 0.7166528583264291,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000432,
+      "loss": 6.4187,
+      "mean_token_accuracy": 0.11381370946764946,
+      "num_tokens": 1579308.0,
+      "step": 865
+    },
+    {
+      "entropy": 6.597287034988403,
+      "epoch": 0.7207953603976802,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004345,
+      "loss": 6.6081,
+      "mean_token_accuracy": 0.10267190784215927,
+      "num_tokens": 1589506.0,
+      "step": 870
+    },
+    {
+      "entropy": 6.482245397567749,
+      "epoch": 0.7249378624689312,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000437,
+      "loss": 6.3671,
+      "mean_token_accuracy": 0.11368186473846435,
+      "num_tokens": 1598127.0,
+      "step": 875
+    },
+    {
+      "entropy": 6.548954200744629,
+      "epoch": 0.7290803645401823,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004395,
+      "loss": 6.4125,
+      "mean_token_accuracy": 0.11406067088246345,
+      "num_tokens": 1608073.0,
+      "step": 880
+    },
+    {
+      "entropy": 6.551317119598389,
+      "epoch": 0.7332228666114333,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000442,
+      "loss": 6.4304,
+      "mean_token_accuracy": 0.11178040653467178,
+      "num_tokens": 1616272.0,
+      "step": 885
+    },
+    {
+      "entropy": 6.496135663986206,
+      "epoch": 0.7373653686826843,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004445,
+      "loss": 6.447,
+      "mean_token_accuracy": 0.10845504105091094,
+      "num_tokens": 1625577.0,
+      "step": 890
+    },
+    {
+      "entropy": 6.685812950134277,
+      "epoch": 0.7415078707539354,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000447,
+      "loss": 6.533,
+      "mean_token_accuracy": 0.10158233270049095,
+      "num_tokens": 1634902.0,
+      "step": 895
+    },
+    {
+      "entropy": 6.520436191558838,
+      "epoch": 0.7456503728251864,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00044950000000000003,
+      "loss": 6.4674,
+      "mean_token_accuracy": 0.10865833014249801,
+      "num_tokens": 1644131.0,
+      "step": 900
+    },
+    {
+      "entropy": 6.461379718780518,
+      "epoch": 0.7497928748964374,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00045200000000000004,
+      "loss": 6.3694,
+      "mean_token_accuracy": 0.12158194407820702,
+      "num_tokens": 1652272.0,
+      "step": 905
+    },
+    {
+      "entropy": 6.533070278167725,
+      "epoch": 0.7539353769676885,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00045450000000000004,
+      "loss": 6.4632,
+      "mean_token_accuracy": 0.11447574123740197,
+      "num_tokens": 1660962.0,
+      "step": 910
+    },
+    {
+      "entropy": 6.475569725036621,
+      "epoch": 0.7580778790389395,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045700000000000005,
+      "loss": 6.4006,
+      "mean_token_accuracy": 0.11205699220299721,
+      "num_tokens": 1670570.0,
+      "step": 915
+    },
+    {
+      "entropy": 6.526782608032226,
+      "epoch": 0.7622203811101905,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00045950000000000006,
+      "loss": 6.4497,
+      "mean_token_accuracy": 0.1096197433769703,
+      "num_tokens": 1679674.0,
+      "step": 920
+    },
+    {
+      "entropy": 6.530770015716553,
+      "epoch": 0.7663628831814416,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000462,
+      "loss": 6.4324,
+      "mean_token_accuracy": 0.11466658413410187,
+      "num_tokens": 1688849.0,
+      "step": 925
+    },
+    {
+      "entropy": 6.4163538932800295,
+      "epoch": 0.7705053852526926,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004645,
+      "loss": 6.3128,
+      "mean_token_accuracy": 0.1098814107477665,
+      "num_tokens": 1698565.0,
+      "step": 930
+    },
+    {
+      "entropy": 6.5036052703857425,
+      "epoch": 0.7746478873239436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000467,
+      "loss": 6.3986,
+      "mean_token_accuracy": 0.11683695837855339,
+      "num_tokens": 1708009.0,
+      "step": 935
+    },
+    {
+      "entropy": 6.518198871612549,
+      "epoch": 0.7787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004695,
+      "loss": 6.3878,
+      "mean_token_accuracy": 0.1126109592616558,
+      "num_tokens": 1716497.0,
+      "step": 940
+    },
+    {
+      "entropy": 6.415347719192505,
+      "epoch": 0.7829328914664457,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000472,
+      "loss": 6.4082,
+      "mean_token_accuracy": 0.12070046439766884,
+      "num_tokens": 1725609.0,
+      "step": 945
+    },
+    {
+      "entropy": 6.477306175231933,
+      "epoch": 0.7870753935376967,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004745,
+      "loss": 6.3456,
+      "mean_token_accuracy": 0.11454906165599824,
+      "num_tokens": 1734165.0,
+      "step": 950
+    },
+    {
+      "entropy": 6.454520893096924,
+      "epoch": 0.7912178956089478,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000477,
+      "loss": 6.4546,
+      "mean_token_accuracy": 0.10918105840682983,
+      "num_tokens": 1744856.0,
+      "step": 955
+    },
+    {
+      "entropy": 6.4711943626403805,
+      "epoch": 0.7953603976801988,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004795,
+      "loss": 6.4509,
+      "mean_token_accuracy": 0.10578904524445534,
+      "num_tokens": 1753386.0,
+      "step": 960
+    },
+    {
+      "entropy": 6.4536961078643795,
+      "epoch": 0.7995028997514498,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000482,
+      "loss": 6.3053,
+      "mean_token_accuracy": 0.11872726455330848,
+      "num_tokens": 1762521.0,
+      "step": 965
+    },
+    {
+      "entropy": 6.34936490058899,
+      "epoch": 0.8036454018227009,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004845,
+      "loss": 6.3765,
+      "mean_token_accuracy": 0.11444728896021843,
+      "num_tokens": 1772403.0,
+      "step": 970
+    },
+    {
+      "entropy": 6.375087881088257,
+      "epoch": 0.8077879038939519,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000487,
+      "loss": 6.2884,
+      "mean_token_accuracy": 0.11179185584187508,
+      "num_tokens": 1780924.0,
+      "step": 975
+    },
+    {
+      "entropy": 6.547906732559204,
+      "epoch": 0.8119304059652029,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004895,
+      "loss": 6.4367,
+      "mean_token_accuracy": 0.11225800514221192,
+      "num_tokens": 1789992.0,
+      "step": 980
+    },
+    {
+      "entropy": 6.421040678024292,
+      "epoch": 0.816072908036454,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000492,
+      "loss": 6.3919,
+      "mean_token_accuracy": 0.11761699616909027,
+      "num_tokens": 1799513.0,
+      "step": 985
+    },
+    {
+      "entropy": 6.332476711273193,
+      "epoch": 0.820215410107705,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0004945,
+      "loss": 6.2287,
+      "mean_token_accuracy": 0.11279567033052444,
+      "num_tokens": 1807393.0,
+      "step": 990
+    },
+    {
+      "entropy": 6.438618326187134,
+      "epoch": 0.824357912178956,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000497,
+      "loss": 6.5079,
+      "mean_token_accuracy": 0.10579989776015282,
+      "num_tokens": 1817284.0,
+      "step": 995
+    },
+    {
+      "entropy": 6.449818515777588,
+      "epoch": 0.8285004142502072,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004995,
+      "loss": 6.2996,
+      "mean_token_accuracy": 0.11799877136945724,
+      "num_tokens": 1825591.0,
+      "step": 1000
+    },
+    {
+      "epoch": 0.8285004142502072,
+      "eval_entropy": 6.222835092402216,
+      "eval_loss": 6.475013256072998,
+      "eval_mean_token_accuracy": 0.11269166863866961,
+      "eval_num_tokens": 1825591.0,
+      "eval_runtime": 2.7611,
+      "eval_samples_per_second": 1357.068,
+      "eval_steps_per_second": 169.86,
+      "step": 1000
+    },
+    {
+      "entropy": 6.457831478118896,
+      "epoch": 0.8326429163214581,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0004999998547681232,
+      "loss": 6.3959,
+      "mean_token_accuracy": 0.11798396334052086,
+      "num_tokens": 1834655.0,
+      "step": 1005
+    },
+    {
+      "entropy": 6.26599349975586,
+      "epoch": 0.8367854183927091,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004999992647639447,
+      "loss": 6.2578,
+      "mean_token_accuracy": 0.11858200430870056,
+      "num_tokens": 1844187.0,
+      "step": 1010
+    },
+    {
+      "entropy": 6.415271520614624,
+      "epoch": 0.8409279204639603,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999982209116618,
+      "loss": 6.3345,
+      "mean_token_accuracy": 0.11406200677156449,
+      "num_tokens": 1852768.0,
+      "step": 1015
+    },
+    {
+      "entropy": 6.355557584762574,
+      "epoch": 0.8450704225352113,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004999967232133796,
+      "loss": 6.3913,
+      "mean_token_accuracy": 0.12348653748631477,
+      "num_tokens": 1862095.0,
+      "step": 1020
+    },
+    {
+      "entropy": 6.427043008804321,
+      "epoch": 0.8492129246064622,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004999947716721196,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.10961534604430198,
+      "num_tokens": 1871239.0,
+      "step": 1025
+    },
+    {
+      "entropy": 6.509608554840088,
+      "epoch": 0.8533554266777134,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004999923662918179,
+      "loss": 6.4323,
+      "mean_token_accuracy": 0.11334251016378402,
+      "num_tokens": 1880065.0,
+      "step": 1030
+    },
+    {
+      "entropy": 6.417975521087646,
+      "epoch": 0.8574979287489644,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999895070773266,
+      "loss": 6.4608,
+      "mean_token_accuracy": 0.10985229611396789,
+      "num_tokens": 1889065.0,
+      "step": 1035
+    },
+    {
+      "entropy": 6.429206514358521,
+      "epoch": 0.8616404308202155,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999861940344129,
+      "loss": 6.4721,
+      "mean_token_accuracy": 0.11190373301506043,
+      "num_tokens": 1898238.0,
+      "step": 1040
+    },
+    {
+      "entropy": 6.462369585037232,
+      "epoch": 0.8657829328914665,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004999824271697597,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.12136606723070145,
+      "num_tokens": 1906780.0,
+      "step": 1045
+    },
+    {
+      "entropy": 6.506088638305664,
+      "epoch": 0.8699254349627175,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000499978206490965,
+      "loss": 6.4745,
+      "mean_token_accuracy": 0.11197563111782075,
+      "num_tokens": 1916183.0,
+      "step": 1050
+    },
+    {
+      "entropy": 6.427097368240356,
+      "epoch": 0.8740679370339686,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999735320065427,
+      "loss": 6.3371,
+      "mean_token_accuracy": 0.11927392706274986,
+      "num_tokens": 1925382.0,
+      "step": 1055
+    },
+    {
+      "entropy": 6.292429256439209,
+      "epoch": 0.8782104391052196,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999684037259216,
+      "loss": 6.1827,
+      "mean_token_accuracy": 0.1270924136042595,
+      "num_tokens": 1933639.0,
+      "step": 1060
+    },
+    {
+      "entropy": 6.3600146770477295,
+      "epoch": 0.8823529411764706,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999628216594456,
+      "loss": 6.464,
+      "mean_token_accuracy": 0.11409285366535186,
+      "num_tokens": 1943044.0,
+      "step": 1065
+    },
+    {
+      "entropy": 6.460871028900146,
+      "epoch": 0.8864954432477217,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000499956785818375,
+      "loss": 6.303,
+      "mean_token_accuracy": 0.11871922463178634,
+      "num_tokens": 1951777.0,
+      "step": 1070
+    },
+    {
+      "entropy": 6.376981210708618,
+      "epoch": 0.8906379453189727,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004999502962148843,
+      "loss": 6.3666,
+      "mean_token_accuracy": 0.1170460693538189,
+      "num_tokens": 1961356.0,
+      "step": 1075
+    },
+    {
+      "entropy": 6.439280414581299,
+      "epoch": 0.8947804473902237,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000499943352862064,
+      "loss": 6.4248,
+      "mean_token_accuracy": 0.11459407210350037,
+      "num_tokens": 1970341.0,
+      "step": 1080
+    },
+    {
+      "entropy": 6.394289827346801,
+      "epoch": 0.8989229494614748,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004999359557739194,
+      "loss": 6.2796,
+      "mean_token_accuracy": 0.12198276743292809,
+      "num_tokens": 1978576.0,
+      "step": 1085
+    },
+    {
+      "entropy": 6.319045782089233,
+      "epoch": 0.9030654515327258,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004999281049653713,
+      "loss": 6.3227,
+      "mean_token_accuracy": 0.11601013913750649,
+      "num_tokens": 1987229.0,
+      "step": 1090
+    },
+    {
+      "entropy": 6.376017141342163,
+      "epoch": 0.9072079536039768,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999198004522557,
+      "loss": 6.261,
+      "mean_token_accuracy": 0.12269015237689018,
+      "num_tokens": 1996473.0,
+      "step": 1095
+    },
+    {
+      "entropy": 6.2405853271484375,
+      "epoch": 0.9113504556752279,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999110422513237,
+      "loss": 6.286,
+      "mean_token_accuracy": 0.12056776732206345,
+      "num_tokens": 2005551.0,
+      "step": 1100
+    },
+    {
+      "entropy": 6.398191165924072,
+      "epoch": 0.9154929577464789,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999018303802414,
+      "loss": 6.3869,
+      "mean_token_accuracy": 0.11947718560695648,
+      "num_tokens": 2015012.0,
+      "step": 1105
+    },
+    {
+      "entropy": 6.374700450897217,
+      "epoch": 0.9196354598177299,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004998921648575904,
+      "loss": 6.3999,
+      "mean_token_accuracy": 0.1203969657421112,
+      "num_tokens": 2024435.0,
+      "step": 1110
+    },
+    {
+      "entropy": 6.380674362182617,
+      "epoch": 0.923777961888981,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004998820457028669,
+      "loss": 6.3005,
+      "mean_token_accuracy": 0.12089794874191284,
+      "num_tokens": 2033991.0,
+      "step": 1115
+    },
+    {
+      "entropy": 6.409522771835327,
+      "epoch": 0.927920463960232,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998714729364824,
+      "loss": 6.3017,
+      "mean_token_accuracy": 0.1228084571659565,
+      "num_tokens": 2043117.0,
+      "step": 1120
+    },
+    {
+      "entropy": 6.326260423660278,
+      "epoch": 0.932062966031483,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004998604465797634,
+      "loss": 6.3305,
+      "mean_token_accuracy": 0.11992078274488449,
+      "num_tokens": 2052304.0,
+      "step": 1125
+    },
+    {
+      "entropy": 6.251798295974732,
+      "epoch": 0.9362054681027341,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998489666549512,
+      "loss": 6.2779,
+      "mean_token_accuracy": 0.12114684730768203,
+      "num_tokens": 2061217.0,
+      "step": 1130
+    },
+    {
+      "entropy": 6.319644594192505,
+      "epoch": 0.9403479701739851,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.0004998370331852021,
+      "loss": 6.2517,
+      "mean_token_accuracy": 0.11879112273454666,
+      "num_tokens": 2070796.0,
+      "step": 1135
+    },
+    {
+      "entropy": 6.465651321411133,
+      "epoch": 0.9444904722452361,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004998246461945872,
+      "loss": 6.4037,
+      "mean_token_accuracy": 0.12191760018467904,
+      "num_tokens": 2080202.0,
+      "step": 1140
+    },
+    {
+      "entropy": 6.320812797546386,
+      "epoch": 0.9486329743164872,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004998118057080923,
+      "loss": 6.3045,
+      "mean_token_accuracy": 0.11891168132424354,
+      "num_tokens": 2089788.0,
+      "step": 1145
+    },
+    {
+      "entropy": 6.301202344894409,
+      "epoch": 0.9527754763877382,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004997985117516183,
+      "loss": 6.3462,
+      "mean_token_accuracy": 0.11142431199550629,
+      "num_tokens": 2098727.0,
+      "step": 1150
+    },
+    {
+      "entropy": 6.344118309020996,
+      "epoch": 0.9569179784589892,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997847643519803,
+      "loss": 6.226,
+      "mean_token_accuracy": 0.11924557387828827,
+      "num_tokens": 2107645.0,
+      "step": 1155
+    },
+    {
+      "entropy": 6.1790977954864506,
+      "epoch": 0.9610604805302403,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997705635369085,
+      "loss": 6.1991,
+      "mean_token_accuracy": 0.11988648250699044,
+      "num_tokens": 2116613.0,
+      "step": 1160
+    },
+    {
+      "entropy": 6.284418439865112,
+      "epoch": 0.9652029826014913,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004997559093350474,
+      "loss": 6.1881,
+      "mean_token_accuracy": 0.12116428092122078,
+      "num_tokens": 2125585.0,
+      "step": 1165
+    },
+    {
+      "entropy": 6.396596622467041,
+      "epoch": 0.9693454846727423,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004997408017759562,
+      "loss": 6.3359,
+      "mean_token_accuracy": 0.11936862170696258,
+      "num_tokens": 2134795.0,
+      "step": 1170
+    },
+    {
+      "entropy": 6.273751878738404,
+      "epoch": 0.9734879867439934,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004997252408901084,
+      "loss": 6.3271,
+      "mean_token_accuracy": 0.11899949684739113,
+      "num_tokens": 2143699.0,
+      "step": 1175
+    },
+    {
+      "entropy": 6.386678028106689,
+      "epoch": 0.9776304888152444,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004997092267088922,
+      "loss": 6.2707,
+      "mean_token_accuracy": 0.11861606612801552,
+      "num_tokens": 2152187.0,
+      "step": 1180
+    },
+    {
+      "entropy": 6.275117111206055,
+      "epoch": 0.9817729908864954,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004996927592646097,
+      "loss": 6.3412,
+      "mean_token_accuracy": 0.11767763197422028,
+      "num_tokens": 2160941.0,
+      "step": 1185
+    },
+    {
+      "entropy": 6.339710283279419,
+      "epoch": 0.9859154929577465,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004996758385904776,
+      "loss": 6.3119,
+      "mean_token_accuracy": 0.11789651140570641,
+      "num_tokens": 2168946.0,
+      "step": 1190
+    },
+    {
+      "entropy": 6.181374216079712,
+      "epoch": 0.9900579950289975,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004996584647206269,
+      "loss": 6.2237,
+      "mean_token_accuracy": 0.12055367529392243,
+      "num_tokens": 2177662.0,
+      "step": 1195
+    },
+    {
+      "entropy": 6.316773986816406,
+      "epoch": 0.9942004971002486,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004996406376901026,
+      "loss": 6.3268,
+      "mean_token_accuracy": 0.12757316455245019,
+      "num_tokens": 2187461.0,
+      "step": 1200
+    },
+    {
+      "entropy": 6.283385133743286,
+      "epoch": 0.9983429991714996,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004996223575348635,
+      "loss": 6.2207,
+      "mean_token_accuracy": 0.12578138560056687,
+      "num_tokens": 2196878.0,
+      "step": 1205
+    },
+    {
+      "entropy": 6.311019659042358,
+      "epoch": 1.0024855012427507,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004996036242917828,
+      "loss": 6.2021,
+      "mean_token_accuracy": 0.1151522897183895,
+      "num_tokens": 2206178.0,
+      "step": 1210
+    },
+    {
+      "entropy": 6.25421667098999,
+      "epoch": 1.0066280033140016,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004995844379986476,
+      "loss": 6.0526,
+      "mean_token_accuracy": 0.12476176023483276,
+      "num_tokens": 2215330.0,
+      "step": 1215
+    },
+    {
+      "entropy": 6.309921216964722,
+      "epoch": 1.0107705053852527,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004995647986941587,
+      "loss": 6.0354,
+      "mean_token_accuracy": 0.13005029112100602,
+      "num_tokens": 2224146.0,
+      "step": 1220
+    },
+    {
+      "entropy": 6.241363286972046,
+      "epoch": 1.0149130074565038,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004995447064179308,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13421598002314566,
+      "num_tokens": 2233646.0,
+      "step": 1225
+    },
+    {
+      "entropy": 6.058859920501709,
+      "epoch": 1.0190555095277547,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.000499524161210492,
+      "loss": 5.9379,
+      "mean_token_accuracy": 0.12560308948159218,
+      "num_tokens": 2243663.0,
+      "step": 1230
+    },
+    {
+      "entropy": 6.270004224777222,
+      "epoch": 1.0231980115990058,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004995031631132844,
+      "loss": 6.1035,
+      "mean_token_accuracy": 0.13170127123594283,
+      "num_tokens": 2252564.0,
+      "step": 1235
+    },
+    {
+      "entropy": 6.2710247993469235,
+      "epoch": 1.027340513670257,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004994817121686633,
+      "loss": 6.099,
+      "mean_token_accuracy": 0.12465815395116805,
+      "num_tokens": 2262504.0,
+      "step": 1240
+    },
+    {
+      "entropy": 6.193396997451782,
+      "epoch": 1.0314830157415078,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004994598084198979,
+      "loss": 5.9843,
+      "mean_token_accuracy": 0.1374910719692707,
+      "num_tokens": 2270553.0,
+      "step": 1245
+    },
+    {
+      "entropy": 6.136552810668945,
+      "epoch": 1.035625517812759,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004994374519111701,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.1272726461291313,
+      "num_tokens": 2279319.0,
+      "step": 1250
+    },
+    {
+      "entropy": 6.217378282546997,
+      "epoch": 1.03976801988401,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004994146426875757,
+      "loss": 6.123,
+      "mean_token_accuracy": 0.126935476064682,
+      "num_tokens": 2288749.0,
+      "step": 1255
+    },
+    {
+      "entropy": 6.218695068359375,
+      "epoch": 1.043910521955261,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004993913807951232,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.12562426924705505,
+      "num_tokens": 2298272.0,
+      "step": 1260
+    },
+    {
+      "entropy": 6.221994352340698,
+      "epoch": 1.048053024026512,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004993676662807345,
+      "loss": 6.047,
+      "mean_token_accuracy": 0.12884460240602494,
+      "num_tokens": 2307230.0,
+      "step": 1265
+    },
+    {
+      "entropy": 6.183428144454956,
+      "epoch": 1.0521955260977631,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004993434991922443,
+      "loss": 6.1317,
+      "mean_token_accuracy": 0.12460145726799965,
+      "num_tokens": 2316306.0,
+      "step": 1270
+    },
+    {
+      "entropy": 6.22090425491333,
+      "epoch": 1.056338028169014,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004993188795784002,
+      "loss": 6.0531,
+      "mean_token_accuracy": 0.1241947129368782,
+      "num_tokens": 2325672.0,
+      "step": 1275
+    },
+    {
+      "entropy": 6.1453857421875,
+      "epoch": 1.0604805302402651,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004992938074888628,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.1274007849395275,
+      "num_tokens": 2335251.0,
+      "step": 1280
+    },
+    {
+      "entropy": 6.180039167404175,
+      "epoch": 1.0646230323115162,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004992682829742052,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.1308726042509079,
+      "num_tokens": 2344054.0,
+      "step": 1285
+    },
+    {
+      "entropy": 6.086296463012696,
+      "epoch": 1.0687655343827671,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004992423060859132,
+      "loss": 6.0236,
+      "mean_token_accuracy": 0.127706591039896,
+      "num_tokens": 2353493.0,
+      "step": 1290
+    },
+    {
+      "entropy": 6.223158740997315,
+      "epoch": 1.0729080364540182,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004992158768763849,
+      "loss": 6.1321,
+      "mean_token_accuracy": 0.12850543335080147,
+      "num_tokens": 2362687.0,
+      "step": 1295
+    },
+    {
+      "entropy": 6.2506636619567875,
+      "epoch": 1.0770505385252693,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004991889953989308,
+      "loss": 6.0965,
+      "mean_token_accuracy": 0.12563316524028778,
+      "num_tokens": 2372325.0,
+      "step": 1300
+    },
+    {
+      "entropy": 6.173602199554443,
+      "epoch": 1.0811930405965202,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004991616617077741,
+      "loss": 6.12,
+      "mean_token_accuracy": 0.1287991665303707,
+      "num_tokens": 2381987.0,
+      "step": 1305
+    },
+    {
+      "entropy": 6.307486963272095,
+      "epoch": 1.0853355426677713,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004991338758580496,
+      "loss": 6.0234,
+      "mean_token_accuracy": 0.13178783878684044,
+      "num_tokens": 2390901.0,
+      "step": 1310
+    },
+    {
+      "entropy": 6.034789133071899,
+      "epoch": 1.0894780447390224,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004991056379058045,
+      "loss": 6.0813,
+      "mean_token_accuracy": 0.12450421676039695,
+      "num_tokens": 2400756.0,
+      "step": 1315
+    },
+    {
+      "entropy": 6.188017988204956,
+      "epoch": 1.0936205468102733,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004990769479079976,
+      "loss": 5.9232,
+      "mean_token_accuracy": 0.12984196096658707,
+      "num_tokens": 2409526.0,
+      "step": 1320
+    },
+    {
+      "entropy": 6.086554956436157,
+      "epoch": 1.0977630488815244,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004990478059225003,
+      "loss": 6.0931,
+      "mean_token_accuracy": 0.12972966134548186,
+      "num_tokens": 2419583.0,
+      "step": 1325
+    },
+    {
+      "entropy": 6.2457873821258545,
+      "epoch": 1.1019055509527755,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004990182120080945,
+      "loss": 6.0338,
+      "mean_token_accuracy": 0.12990806251764297,
+      "num_tokens": 2429439.0,
+      "step": 1330
+    },
+    {
+      "entropy": 6.078778219223023,
+      "epoch": 1.1060480530240264,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004989881662244748,
+      "loss": 6.0416,
+      "mean_token_accuracy": 0.12380676046013832,
+      "num_tokens": 2438467.0,
+      "step": 1335
+    },
+    {
+      "entropy": 6.138932418823242,
+      "epoch": 1.1101905550952775,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004989576686322468,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.1332716926932335,
+      "num_tokens": 2446619.0,
+      "step": 1340
+    },
+    {
+      "entropy": 6.1281578540802,
+      "epoch": 1.1143330571665286,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004989267192929272,
+      "loss": 6.0379,
+      "mean_token_accuracy": 0.12955363765358924,
+      "num_tokens": 2454998.0,
+      "step": 1345
+    },
+    {
+      "entropy": 6.09554443359375,
+      "epoch": 1.1184755592377795,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004988953182689445,
+      "loss": 6.0072,
+      "mean_token_accuracy": 0.13532012328505516,
+      "num_tokens": 2463497.0,
+      "step": 1350
+    },
+    {
+      "entropy": 6.134703922271728,
+      "epoch": 1.1226180613090306,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004988634656236378,
+      "loss": 5.9216,
+      "mean_token_accuracy": 0.13609320148825646,
+      "num_tokens": 2471763.0,
+      "step": 1355
+    },
+    {
+      "entropy": 6.145527791976929,
+      "epoch": 1.1267605633802817,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004988311614212576,
+      "loss": 6.0016,
+      "mean_token_accuracy": 0.1402701161801815,
+      "num_tokens": 2479949.0,
+      "step": 1360
+    },
+    {
+      "entropy": 6.116470623016357,
+      "epoch": 1.1309030654515326,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004987984057269648,
+      "loss": 6.0539,
+      "mean_token_accuracy": 0.13444141745567323,
+      "num_tokens": 2489097.0,
+      "step": 1365
+    },
+    {
+      "entropy": 5.972180604934692,
+      "epoch": 1.1350455675227837,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004987651986068311,
+      "loss": 5.8781,
+      "mean_token_accuracy": 0.13601028621196748,
+      "num_tokens": 2497625.0,
+      "step": 1370
+    },
+    {
+      "entropy": 6.143597984313965,
+      "epoch": 1.1391880695940348,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004987315401278394,
+      "loss": 6.1252,
+      "mean_token_accuracy": 0.1272761717438698,
+      "num_tokens": 2507107.0,
+      "step": 1375
+    },
+    {
+      "entropy": 6.286170959472656,
+      "epoch": 1.143330571665286,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004986974303578819,
+      "loss": 6.1408,
+      "mean_token_accuracy": 0.12348597794771195,
+      "num_tokens": 2516629.0,
+      "step": 1380
+    },
+    {
+      "entropy": 6.077923250198364,
+      "epoch": 1.1474730737365368,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004986628693657621,
+      "loss": 6.021,
+      "mean_token_accuracy": 0.1280151717364788,
+      "num_tokens": 2525924.0,
+      "step": 1385
+    },
+    {
+      "entropy": 6.229060649871826,
+      "epoch": 1.151615575807788,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004986278572211933,
+      "loss": 6.1723,
+      "mean_token_accuracy": 0.1280426375567913,
+      "num_tokens": 2535586.0,
+      "step": 1390
+    },
+    {
+      "entropy": 6.189875984191895,
+      "epoch": 1.1557580778790388,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004985923939947987,
+      "loss": 6.2595,
+      "mean_token_accuracy": 0.1247698113322258,
+      "num_tokens": 2546685.0,
+      "step": 1395
+    },
+    {
+      "entropy": 6.148470640182495,
+      "epoch": 1.15990057995029,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004985564797581115,
+      "loss": 5.9681,
+      "mean_token_accuracy": 0.12971177995204924,
+      "num_tokens": 2556873.0,
+      "step": 1400
+    },
+    {
+      "entropy": 6.143459701538086,
+      "epoch": 1.164043082021541,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004985201145835747,
+      "loss": 5.9836,
+      "mean_token_accuracy": 0.13127154856920242,
+      "num_tokens": 2565222.0,
+      "step": 1405
+    },
+    {
+      "entropy": 6.031957960128784,
+      "epoch": 1.1681855840927922,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.000498483298544541,
+      "loss": 5.9875,
+      "mean_token_accuracy": 0.13211632743477822,
+      "num_tokens": 2575467.0,
+      "step": 1410
+    },
+    {
+      "entropy": 6.136318731307983,
+      "epoch": 1.172328086164043,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000498446031715272,
+      "loss": 6.0125,
+      "mean_token_accuracy": 0.13508019223809242,
+      "num_tokens": 2583963.0,
+      "step": 1415
+    },
+    {
+      "entropy": 6.133963680267334,
+      "epoch": 1.1764705882352942,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004984083141709391,
+      "loss": 6.042,
+      "mean_token_accuracy": 0.13524071872234344,
+      "num_tokens": 2593350.0,
+      "step": 1420
+    },
+    {
+      "entropy": 5.975436115264893,
+      "epoch": 1.180613090306545,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000498370145987623,
+      "loss": 5.9652,
+      "mean_token_accuracy": 0.13682079091668128,
+      "num_tokens": 2602191.0,
+      "step": 1425
+    },
+    {
+      "entropy": 6.170718050003051,
+      "epoch": 1.1847555923777962,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004983315272423127,
+      "loss": 6.0999,
+      "mean_token_accuracy": 0.1291058838367462,
+      "num_tokens": 2613590.0,
+      "step": 1430
+    },
+    {
+      "entropy": 6.049332237243652,
+      "epoch": 1.1888980944490473,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004982924580129066,
+      "loss": 5.8895,
+      "mean_token_accuracy": 0.1340464949607849,
+      "num_tokens": 2622072.0,
+      "step": 1435
+    },
+    {
+      "entropy": 6.093293142318726,
+      "epoch": 1.1930405965202984,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004982529383782116,
+      "loss": 6.1012,
+      "mean_token_accuracy": 0.13022035285830497,
+      "num_tokens": 2630904.0,
+      "step": 1440
+    },
+    {
+      "entropy": 6.189996242523193,
+      "epoch": 1.1971830985915493,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004982129684179432,
+      "loss": 6.0594,
+      "mean_token_accuracy": 0.13088259026408194,
+      "num_tokens": 2639925.0,
+      "step": 1445
+    },
+    {
+      "entropy": 6.1187131881713865,
+      "epoch": 1.2013256006628004,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004981725482127251,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.13439981341362,
+      "num_tokens": 2649397.0,
+      "step": 1450
+    },
+    {
+      "entropy": 6.16315655708313,
+      "epoch": 1.2054681027340513,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004981316778440892,
+      "loss": 6.081,
+      "mean_token_accuracy": 0.13515593931078912,
+      "num_tokens": 2658877.0,
+      "step": 1455
+    },
+    {
+      "entropy": 6.063838720321655,
+      "epoch": 1.2096106048053024,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004980903573944756,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13121431767940522,
+      "num_tokens": 2668518.0,
+      "step": 1460
+    },
+    {
+      "entropy": 6.059180212020874,
+      "epoch": 1.2137531068765535,
+      "grad_norm": 1.0078125,
+      "learning_rate": 0.0004980485869472322,
+      "loss": 6.1148,
+      "mean_token_accuracy": 0.12996160089969636,
+      "num_tokens": 2677459.0,
+      "step": 1465
+    },
+    {
+      "entropy": 6.223527908325195,
+      "epoch": 1.2178956089478046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004980063665866143,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12482839822769165,
+      "num_tokens": 2686668.0,
+      "step": 1470
+    },
+    {
+      "entropy": 5.935272264480591,
+      "epoch": 1.2220381110190555,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004979636963977853,
+      "loss": 5.8825,
+      "mean_token_accuracy": 0.1352998949587345,
+      "num_tokens": 2695545.0,
+      "step": 1475
+    },
+    {
+      "entropy": 6.066101598739624,
+      "epoch": 1.2261806130903066,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004979205764668156,
+      "loss": 6.0569,
+      "mean_token_accuracy": 0.13228241056203843,
+      "num_tokens": 2705514.0,
+      "step": 1480
+    },
+    {
+      "entropy": 6.138315343856812,
+      "epoch": 1.2303231151615575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004978770068806825,
+      "loss": 5.9599,
+      "mean_token_accuracy": 0.13136665150523186,
+      "num_tokens": 2714373.0,
+      "step": 1485
+    },
+    {
+      "entropy": 6.061770391464234,
+      "epoch": 1.2344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.000497832987727271,
+      "loss": 6.0715,
+      "mean_token_accuracy": 0.1264137916266918,
+      "num_tokens": 2723887.0,
+      "step": 1490
+    },
+    {
+      "entropy": 6.061756038665772,
+      "epoch": 1.2386081193040597,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004977885190953724,
+      "loss": 5.956,
+      "mean_token_accuracy": 0.13353569880127908,
+      "num_tokens": 2733591.0,
+      "step": 1495
+    },
+    {
+      "entropy": 6.104292392730713,
+      "epoch": 1.2427506213753108,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004977436010746846,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.13720986992120743,
+      "num_tokens": 2741638.0,
+      "step": 1500
+    },
+    {
+      "epoch": 1.2427506213753108,
+      "eval_entropy": 6.029743814773397,
+      "eval_loss": 6.2611613273620605,
+      "eval_mean_token_accuracy": 0.12890694399219332,
+      "eval_num_tokens": 2741638.0,
+      "eval_runtime": 2.9518,
+      "eval_samples_per_second": 1269.399,
+      "eval_steps_per_second": 158.887,
+      "step": 1500
+    },
+    {
+      "entropy": 6.078821802139283,
+      "epoch": 1.2468931234465617,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004976982337558124,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13084649220108985,
+      "num_tokens": 2749711.0,
+      "step": 1505
+    },
+    {
+      "entropy": 6.094208097457885,
+      "epoch": 1.2510356255178128,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004976524172302665,
+      "loss": 6.121,
+      "mean_token_accuracy": 0.13192041367292404,
+      "num_tokens": 2758121.0,
+      "step": 1510
+    },
+    {
+      "entropy": 6.159745693206787,
+      "epoch": 1.2551781275890637,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004976061515904641,
+      "loss": 6.1181,
+      "mean_token_accuracy": 0.12667254582047463,
+      "num_tokens": 2766764.0,
+      "step": 1515
+    },
+    {
+      "entropy": 6.116680526733399,
+      "epoch": 1.2593206296603148,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004975594369297277,
+      "loss": 6.0557,
+      "mean_token_accuracy": 0.1348518520593643,
+      "num_tokens": 2775561.0,
+      "step": 1520
+    },
+    {
+      "entropy": 6.08063235282898,
+      "epoch": 1.2634631317315659,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004975122733422861,
+      "loss": 6.0201,
+      "mean_token_accuracy": 0.13085112273693084,
+      "num_tokens": 2784691.0,
+      "step": 1525
+    },
+    {
+      "entropy": 6.129113435745239,
+      "epoch": 1.267605633802817,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004974646609232732,
+      "loss": 5.9816,
+      "mean_token_accuracy": 0.13641836866736412,
+      "num_tokens": 2793893.0,
+      "step": 1530
+    },
+    {
+      "entropy": 6.108260202407837,
+      "epoch": 1.2717481358740679,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004974165997687288,
+      "loss": 6.0751,
+      "mean_token_accuracy": 0.13353196606040002,
+      "num_tokens": 2804479.0,
+      "step": 1535
+    },
+    {
+      "entropy": 6.16022138595581,
+      "epoch": 1.275890637945319,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004973680899755972,
+      "loss": 6.107,
+      "mean_token_accuracy": 0.1326654002070427,
+      "num_tokens": 2813966.0,
+      "step": 1540
+    },
+    {
+      "entropy": 6.007886743545532,
+      "epoch": 1.2800331400165699,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000497319131641728,
+      "loss": 5.9326,
+      "mean_token_accuracy": 0.13846119418740271,
+      "num_tokens": 2822328.0,
+      "step": 1545
+    },
+    {
+      "entropy": 6.003260755538941,
+      "epoch": 1.284175642087821,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004972697248658755,
+      "loss": 5.8899,
+      "mean_token_accuracy": 0.14066707715392113,
+      "num_tokens": 2829845.0,
+      "step": 1550
+    },
+    {
+      "entropy": 5.948832178115845,
+      "epoch": 1.288318144159072,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004972198697476987,
+      "loss": 5.8783,
+      "mean_token_accuracy": 0.13914238885045052,
+      "num_tokens": 2839040.0,
+      "step": 1555
+    },
+    {
+      "entropy": 5.961882209777832,
+      "epoch": 1.2924606462303232,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004971695663877607,
+      "loss": 5.9665,
+      "mean_token_accuracy": 0.13561231270432472,
+      "num_tokens": 2848574.0,
+      "step": 1560
+    },
+    {
+      "entropy": 6.077086877822876,
+      "epoch": 1.296603148301574,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004971188148875289,
+      "loss": 5.9421,
+      "mean_token_accuracy": 0.14444561377167703,
+      "num_tokens": 2856812.0,
+      "step": 1565
+    },
+    {
+      "entropy": 6.051652336120606,
+      "epoch": 1.3007456503728252,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004970676153493748,
+      "loss": 6.0283,
+      "mean_token_accuracy": 0.13189572617411613,
+      "num_tokens": 2866001.0,
+      "step": 1570
+    },
+    {
+      "entropy": 6.1068840503692625,
+      "epoch": 1.3048881524440763,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004970159678765731,
+      "loss": 6.0164,
+      "mean_token_accuracy": 0.13239546120166779,
+      "num_tokens": 2875181.0,
+      "step": 1575
+    },
+    {
+      "entropy": 6.049808597564697,
+      "epoch": 1.3090306545153272,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004969638725733028,
+      "loss": 5.9587,
+      "mean_token_accuracy": 0.13397156223654746,
+      "num_tokens": 2885103.0,
+      "step": 1580
+    },
+    {
+      "entropy": 5.92131872177124,
+      "epoch": 1.3131731565865783,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004969113295446455,
+      "loss": 5.9116,
+      "mean_token_accuracy": 0.1383065924048424,
+      "num_tokens": 2894055.0,
+      "step": 1585
+    },
+    {
+      "entropy": 6.116864538192749,
+      "epoch": 1.3173156586578294,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004968583388965863,
+      "loss": 5.9846,
+      "mean_token_accuracy": 0.133075200766325,
+      "num_tokens": 2903391.0,
+      "step": 1590
+    },
+    {
+      "entropy": 6.006745624542236,
+      "epoch": 1.3214581607290803,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004968049007360132,
+      "loss": 5.9854,
+      "mean_token_accuracy": 0.13297903537750244,
+      "num_tokens": 2911760.0,
+      "step": 1595
+    },
+    {
+      "entropy": 5.926331329345703,
+      "epoch": 1.3256006628003314,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004967510151707169,
+      "loss": 5.9369,
+      "mean_token_accuracy": 0.13469143435359002,
+      "num_tokens": 2920589.0,
+      "step": 1600
+    },
+    {
+      "entropy": 6.15295524597168,
+      "epoch": 1.3297431648715825,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004966966823093903,
+      "loss": 6.0746,
+      "mean_token_accuracy": 0.1302391268312931,
+      "num_tokens": 2929635.0,
+      "step": 1605
+    },
+    {
+      "entropy": 5.986531114578247,
+      "epoch": 1.3338856669428334,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004966419022616287,
+      "loss": 5.9349,
+      "mean_token_accuracy": 0.13593596145510672,
+      "num_tokens": 2938778.0,
+      "step": 1610
+    },
+    {
+      "entropy": 6.039755535125733,
+      "epoch": 1.3380281690140845,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004965866751379296,
+      "loss": 6.0503,
+      "mean_token_accuracy": 0.13109695687890052,
+      "num_tokens": 2947836.0,
+      "step": 1615
+    },
+    {
+      "entropy": 6.133180904388428,
+      "epoch": 1.3421706710853356,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004965310010496922,
+      "loss": 6.0032,
+      "mean_token_accuracy": 0.1280514419078827,
+      "num_tokens": 2957028.0,
+      "step": 1620
+    },
+    {
+      "entropy": 6.026159048080444,
+      "epoch": 1.3463131731565865,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004964748801092168,
+      "loss": 5.9571,
+      "mean_token_accuracy": 0.1338861681520939,
+      "num_tokens": 2966088.0,
+      "step": 1625
+    },
+    {
+      "entropy": 6.078959226608276,
+      "epoch": 1.3504556752278376,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004964183124297059,
+      "loss": 6.0438,
+      "mean_token_accuracy": 0.13178688064217567,
+      "num_tokens": 2975271.0,
+      "step": 1630
+    },
+    {
+      "entropy": 5.992210865020752,
+      "epoch": 1.3545981772990887,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004963612981252625,
+      "loss": 6.0524,
+      "mean_token_accuracy": 0.1321226365864277,
+      "num_tokens": 2983799.0,
+      "step": 1635
+    },
+    {
+      "entropy": 6.056794929504394,
+      "epoch": 1.3587406793703396,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004963038373108908,
+      "loss": 6.0179,
+      "mean_token_accuracy": 0.13609340488910676,
+      "num_tokens": 2992675.0,
+      "step": 1640
+    },
+    {
+      "entropy": 6.155933427810669,
+      "epoch": 1.3628831814415907,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004962459301024954,
+      "loss": 6.0838,
+      "mean_token_accuracy": 0.13211635649204254,
+      "num_tokens": 3002483.0,
+      "step": 1645
+    },
+    {
+      "entropy": 6.027872896194458,
+      "epoch": 1.3670256835128418,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004961875766168816,
+      "loss": 5.985,
+      "mean_token_accuracy": 0.13883458971977233,
+      "num_tokens": 3010611.0,
+      "step": 1650
+    },
+    {
+      "entropy": 6.057289028167725,
+      "epoch": 1.371168185584093,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004961287769717547,
+      "loss": 5.9397,
+      "mean_token_accuracy": 0.13197456523776055,
+      "num_tokens": 3019928.0,
+      "step": 1655
+    },
+    {
+      "entropy": 5.9325989246368405,
+      "epoch": 1.3753106876553438,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004960695312857199,
+      "loss": 5.9279,
+      "mean_token_accuracy": 0.13408055454492568,
+      "num_tokens": 3029003.0,
+      "step": 1660
+    },
+    {
+      "entropy": 6.0389604568481445,
+      "epoch": 1.379453189726595,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004960098396782824,
+      "loss": 5.9464,
+      "mean_token_accuracy": 0.1375861033797264,
+      "num_tokens": 3038049.0,
+      "step": 1665
+    },
+    {
+      "entropy": 5.969662141799927,
+      "epoch": 1.3835956917978458,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004959497022698466,
+      "loss": 5.9515,
+      "mean_token_accuracy": 0.14408120438456534,
+      "num_tokens": 3046674.0,
+      "step": 1670
+    },
+    {
+      "entropy": 6.0561059474945065,
+      "epoch": 1.387738193869097,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004958891191817163,
+      "loss": 5.9927,
+      "mean_token_accuracy": 0.12801324650645257,
+      "num_tokens": 3056459.0,
+      "step": 1675
+    },
+    {
+      "entropy": 6.032327270507812,
+      "epoch": 1.391880695940348,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000495828090536094,
+      "loss": 5.9845,
+      "mean_token_accuracy": 0.13036760538816453,
+      "num_tokens": 3066294.0,
+      "step": 1680
+    },
+    {
+      "entropy": 6.0512574195861815,
+      "epoch": 1.3960231980115991,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004957666164560815,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13139644563198088,
+      "num_tokens": 3075420.0,
+      "step": 1685
+    },
+    {
+      "entropy": 6.063203239440918,
+      "epoch": 1.40016570008285,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004957046970656784,
+      "loss": 6.0385,
+      "mean_token_accuracy": 0.13581736162304878,
+      "num_tokens": 3084373.0,
+      "step": 1690
+    },
+    {
+      "entropy": 6.00097541809082,
+      "epoch": 1.4043082021541011,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004956423324897831,
+      "loss": 6.0257,
+      "mean_token_accuracy": 0.13937310948967935,
+      "num_tokens": 3094212.0,
+      "step": 1695
+    },
+    {
+      "entropy": 6.043115425109863,
+      "epoch": 1.408450704225352,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004955795228541917,
+      "loss": 5.9589,
+      "mean_token_accuracy": 0.14452596232295037,
+      "num_tokens": 3102769.0,
+      "step": 1700
+    },
+    {
+      "entropy": 6.040110731124878,
+      "epoch": 1.4125932062966031,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000495516268285598,
+      "loss": 5.9805,
+      "mean_token_accuracy": 0.13440805301070213,
+      "num_tokens": 3111465.0,
+      "step": 1705
+    },
+    {
+      "entropy": 5.978239822387695,
+      "epoch": 1.4167357083678542,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004954525689115935,
+      "loss": 5.9177,
+      "mean_token_accuracy": 0.13326097056269645,
+      "num_tokens": 3121106.0,
+      "step": 1710
+    },
+    {
+      "entropy": 6.007881164550781,
+      "epoch": 1.4208782104391053,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004953884248606669,
+      "loss": 5.945,
+      "mean_token_accuracy": 0.14831372052431108,
+      "num_tokens": 3130662.0,
+      "step": 1715
+    },
+    {
+      "entropy": 5.97642674446106,
+      "epoch": 1.4250207125103562,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004953238362622034,
+      "loss": 5.9812,
+      "mean_token_accuracy": 0.13328263983130456,
+      "num_tokens": 3139538.0,
+      "step": 1720
+    },
+    {
+      "entropy": 6.0256367206573485,
+      "epoch": 1.4291632145816073,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004952588032464855,
+      "loss": 6.0298,
+      "mean_token_accuracy": 0.12707214802503586,
+      "num_tokens": 3148552.0,
+      "step": 1725
+    },
+    {
+      "entropy": 5.996851205825806,
+      "epoch": 1.4333057166528582,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004951933259446919,
+      "loss": 5.9365,
+      "mean_token_accuracy": 0.14197203740477563,
+      "num_tokens": 3156549.0,
+      "step": 1730
+    },
+    {
+      "entropy": 6.114988136291504,
+      "epoch": 1.4374482187241093,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004951274044888975,
+      "loss": 6.1006,
+      "mean_token_accuracy": 0.12147112190723419,
+      "num_tokens": 3166821.0,
+      "step": 1735
+    },
+    {
+      "entropy": 5.960144329071045,
+      "epoch": 1.4415907207953604,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004950610390120731,
+      "loss": 5.9848,
+      "mean_token_accuracy": 0.135729306191206,
+      "num_tokens": 3174962.0,
+      "step": 1740
+    },
+    {
+      "entropy": 6.087535095214844,
+      "epoch": 1.4457332228666115,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000494994229648085,
+      "loss": 5.8903,
+      "mean_token_accuracy": 0.13537728488445283,
+      "num_tokens": 3184027.0,
+      "step": 1745
+    },
+    {
+      "entropy": 5.957475805282593,
+      "epoch": 1.4498757249378624,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004949269765316948,
+      "loss": 6.0321,
+      "mean_token_accuracy": 0.13071285635232927,
+      "num_tokens": 3193186.0,
+      "step": 1750
+    },
+    {
+      "entropy": 6.171153354644775,
+      "epoch": 1.4540182270091135,
+      "grad_norm": 2.140625,
+      "learning_rate": 0.0004948592797985599,
+      "loss": 6.0525,
+      "mean_token_accuracy": 0.13555259853601456,
+      "num_tokens": 3202676.0,
+      "step": 1755
+    },
+    {
+      "entropy": 6.123908805847168,
+      "epoch": 1.4581607290803644,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947911395852317,
+      "loss": 6.1524,
+      "mean_token_accuracy": 0.1352410912513733,
+      "num_tokens": 3211950.0,
+      "step": 1760
+    },
+    {
+      "entropy": 6.120599699020386,
+      "epoch": 1.4623032311516155,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947225560291565,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12961760386824608,
+      "num_tokens": 3221135.0,
+      "step": 1765
+    },
+    {
+      "entropy": 5.962483358383179,
+      "epoch": 1.4664457332228666,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004946535292686746,
+      "loss": 5.8975,
+      "mean_token_accuracy": 0.13825839310884475,
+      "num_tokens": 3230174.0,
+      "step": 1770
+    },
+    {
+      "entropy": 5.979943370819091,
+      "epoch": 1.4705882352941178,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004945840594430209,
+      "loss": 5.8871,
+      "mean_token_accuracy": 0.1381668671965599,
+      "num_tokens": 3238898.0,
+      "step": 1775
+    },
+    {
+      "entropy": 5.973515844345092,
+      "epoch": 1.4747307373653686,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004945141466923235,
+      "loss": 5.9292,
+      "mean_token_accuracy": 0.14479121565818787,
+      "num_tokens": 3247550.0,
+      "step": 1780
+    },
+    {
+      "entropy": 6.113377714157105,
+      "epoch": 1.4788732394366197,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004944437911576041,
+      "loss": 6.0779,
+      "mean_token_accuracy": 0.12900342419743538,
+      "num_tokens": 3256810.0,
+      "step": 1785
+    },
+    {
+      "entropy": 5.9020613670349125,
+      "epoch": 1.4830157415078706,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004943729929807772,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.139550269395113,
+      "num_tokens": 3265886.0,
+      "step": 1790
+    },
+    {
+      "entropy": 6.06021089553833,
+      "epoch": 1.4871582435791217,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004943017523046507,
+      "loss": 5.9273,
+      "mean_token_accuracy": 0.137468421459198,
+      "num_tokens": 3274522.0,
+      "step": 1795
+    },
+    {
+      "entropy": 6.027210426330567,
+      "epoch": 1.4913007456503728,
+      "grad_norm": 1.25,
+      "learning_rate": 0.000494230069272925,
+      "loss": 6.0486,
+      "mean_token_accuracy": 0.13558472618460654,
+      "num_tokens": 3283388.0,
+      "step": 1800
+    },
+    {
+      "entropy": 5.989331531524658,
+      "epoch": 1.495443247721624,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004941579440301923,
+      "loss": 5.9224,
+      "mean_token_accuracy": 0.1305856943130493,
+      "num_tokens": 3291887.0,
+      "step": 1805
+    },
+    {
+      "entropy": 5.96136965751648,
+      "epoch": 1.4995857497928748,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940853767219372,
+      "loss": 5.9685,
+      "mean_token_accuracy": 0.13564062863588333,
+      "num_tokens": 3300674.0,
+      "step": 1810
+    },
+    {
+      "entropy": 5.9364429950714115,
+      "epoch": 1.503728251864126,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940123674945359,
+      "loss": 5.8311,
+      "mean_token_accuracy": 0.13808463513851166,
+      "num_tokens": 3309745.0,
+      "step": 1815
+    },
+    {
+      "entropy": 6.076629638671875,
+      "epoch": 1.5078707539353768,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004939389164952561,
+      "loss": 5.9722,
+      "mean_token_accuracy": 0.1378110609948635,
+      "num_tokens": 3318888.0,
+      "step": 1820
+    },
+    {
+      "entropy": 5.8970863819122314,
+      "epoch": 1.512013256006628,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004938650238722564,
+      "loss": 5.9296,
+      "mean_token_accuracy": 0.13823849260807036,
+      "num_tokens": 3328274.0,
+      "step": 1825
+    },
+    {
+      "entropy": 6.003948831558228,
+      "epoch": 1.516155758077879,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004937906897745861,
+      "loss": 5.9387,
+      "mean_token_accuracy": 0.1468382939696312,
+      "num_tokens": 3337579.0,
+      "step": 1830
+    },
+    {
+      "entropy": 6.045965003967285,
+      "epoch": 1.5202982601491302,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004937159143521856,
+      "loss": 5.9081,
+      "mean_token_accuracy": 0.14555162489414214,
+      "num_tokens": 3346262.0,
+      "step": 1835
+    },
+    {
+      "entropy": 5.972390079498291,
+      "epoch": 1.5244407622203813,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004936406977558847,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.13030771315097808,
+      "num_tokens": 3354833.0,
+      "step": 1840
+    },
+    {
+      "entropy": 6.051387977600098,
+      "epoch": 1.5285832642916322,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004935650401374039,
+      "loss": 6.0906,
+      "mean_token_accuracy": 0.14119647368788718,
+      "num_tokens": 3364314.0,
+      "step": 1845
+    },
+    {
+      "entropy": 6.046140813827515,
+      "epoch": 1.532725766362883,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004934889416493524,
+      "loss": 5.9157,
+      "mean_token_accuracy": 0.13524662256240844,
+      "num_tokens": 3373648.0,
+      "step": 1850
+    },
+    {
+      "entropy": 5.863892507553101,
+      "epoch": 1.5368682684341342,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004934124024452295,
+      "loss": 5.7869,
+      "mean_token_accuracy": 0.1471114367246628,
+      "num_tokens": 3382919.0,
+      "step": 1855
+    },
+    {
+      "entropy": 5.888700532913208,
+      "epoch": 1.5410107705053853,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004933354226794232,
+      "loss": 5.9383,
+      "mean_token_accuracy": 0.1432707317173481,
+      "num_tokens": 3391814.0,
+      "step": 1860
+    },
+    {
+      "entropy": 6.080925798416137,
+      "epoch": 1.5451532725766364,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004932580025072098,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.13580586463212968,
+      "num_tokens": 3400392.0,
+      "step": 1865
+    },
+    {
+      "entropy": 5.996384525299073,
+      "epoch": 1.5492957746478875,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004931801420847545,
+      "loss": 6.036,
+      "mean_token_accuracy": 0.13089759424328803,
+      "num_tokens": 3410430.0,
+      "step": 1870
+    },
+    {
+      "entropy": 5.932257795333863,
+      "epoch": 1.5534382767191384,
+      "grad_norm": 0.9609375,
+      "learning_rate": 0.0004931018415691102,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.13694921880960464,
+      "num_tokens": 3420654.0,
+      "step": 1875
+    },
+    {
+      "entropy": 5.951343011856079,
+      "epoch": 1.5575807787903893,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004930231011182176,
+      "loss": 5.9986,
+      "mean_token_accuracy": 0.13937177062034606,
+      "num_tokens": 3430514.0,
+      "step": 1880
+    },
+    {
+      "entropy": 6.071512508392334,
+      "epoch": 1.5617232808616404,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004929439208909048,
+      "loss": 5.9331,
+      "mean_token_accuracy": 0.1375361390411854,
+      "num_tokens": 3439551.0,
+      "step": 1885
+    },
+    {
+      "entropy": 5.902947330474854,
+      "epoch": 1.5658657829328915,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004928643010468869,
+      "loss": 5.8911,
+      "mean_token_accuracy": 0.13622887432575226,
+      "num_tokens": 3448160.0,
+      "step": 1890
+    },
+    {
+      "entropy": 5.993059539794922,
+      "epoch": 1.5700082850041426,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004927842417467659,
+      "loss": 5.9517,
+      "mean_token_accuracy": 0.14548188596963882,
+      "num_tokens": 3457296.0,
+      "step": 1895
+    },
+    {
+      "entropy": 6.027637386322022,
+      "epoch": 1.5741507870753937,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004927037431520302,
+      "loss": 5.9073,
+      "mean_token_accuracy": 0.14102519080042838,
+      "num_tokens": 3466108.0,
+      "step": 1900
+    },
+    {
+      "entropy": 5.975209665298462,
+      "epoch": 1.5782932891466446,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004926228054250541,
+      "loss": 5.9941,
+      "mean_token_accuracy": 0.14009249955415726,
+      "num_tokens": 3475336.0,
+      "step": 1905
+    },
+    {
+      "entropy": 6.073916673660278,
+      "epoch": 1.5824357912178955,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004925414287290979,
+      "loss": 5.9668,
+      "mean_token_accuracy": 0.13723743334412575,
+      "num_tokens": 3483963.0,
+      "step": 1910
+    },
+    {
+      "entropy": 5.848618030548096,
+      "epoch": 1.5865782932891466,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004924596132283075,
+      "loss": 5.8765,
+      "mean_token_accuracy": 0.14485997408628465,
+      "num_tokens": 3492947.0,
+      "step": 1915
+    },
+    {
+      "entropy": 5.966853284835816,
+      "epoch": 1.5907207953603977,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004923773590877135,
+      "loss": 5.9651,
+      "mean_token_accuracy": 0.13334692791104316,
+      "num_tokens": 3501877.0,
+      "step": 1920
+    },
+    {
+      "entropy": 6.042904996871949,
+      "epoch": 1.5948632974316488,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004922946664732314,
+      "loss": 6.0304,
+      "mean_token_accuracy": 0.13204361274838447,
+      "num_tokens": 3510610.0,
+      "step": 1925
+    },
+    {
+      "entropy": 6.0583656311035154,
+      "epoch": 1.5990057995029,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004922115355516615,
+      "loss": 5.9841,
+      "mean_token_accuracy": 0.13304307833313941,
+      "num_tokens": 3519829.0,
+      "step": 1930
+    },
+    {
+      "entropy": 6.015839862823486,
+      "epoch": 1.6031483015741508,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004921279664906877,
+      "loss": 5.9661,
+      "mean_token_accuracy": 0.13071200698614122,
+      "num_tokens": 3529408.0,
+      "step": 1935
+    },
+    {
+      "entropy": 5.924501991271972,
+      "epoch": 1.6072908036454017,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004920439594588781,
+      "loss": 5.8955,
+      "mean_token_accuracy": 0.14675913602113724,
+      "num_tokens": 3538068.0,
+      "step": 1940
+    },
+    {
+      "entropy": 6.051935148239136,
+      "epoch": 1.6114333057166528,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000491959514625684,
+      "loss": 6.0177,
+      "mean_token_accuracy": 0.13845598921179772,
+      "num_tokens": 3547302.0,
+      "step": 1945
+    },
+    {
+      "entropy": 5.956210565567017,
+      "epoch": 1.6155758077879039,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00049187463216144,
+      "loss": 5.9024,
+      "mean_token_accuracy": 0.145584287494421,
+      "num_tokens": 3556087.0,
+      "step": 1950
+    },
+    {
+      "entropy": 6.046857452392578,
+      "epoch": 1.619718309859155,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.000491789312237363,
+      "loss": 5.9857,
+      "mean_token_accuracy": 0.13579782098531723,
+      "num_tokens": 3566235.0,
+      "step": 1955
+    },
+    {
+      "entropy": 5.983897924423218,
+      "epoch": 1.623860811930406,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004917035550255528,
+      "loss": 5.899,
+      "mean_token_accuracy": 0.14092317298054696,
+      "num_tokens": 3574762.0,
+      "step": 1960
+    },
+    {
+      "entropy": 5.904513597488403,
+      "epoch": 1.628003314001657,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000491617360698991,
+      "loss": 5.8837,
+      "mean_token_accuracy": 0.139695380628109,
+      "num_tokens": 3583359.0,
+      "step": 1965
+    },
+    {
+      "entropy": 5.920687866210938,
+      "epoch": 1.6321458160729079,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004915307294315412,
+      "loss": 5.8505,
+      "mean_token_accuracy": 0.14011457338929176,
+      "num_tokens": 3591436.0,
+      "step": 1970
+    },
+    {
+      "entropy": 5.926318550109864,
+      "epoch": 1.636288318144159,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.000491443661397948,
+      "loss": 5.9355,
+      "mean_token_accuracy": 0.13468224480748175,
+      "num_tokens": 3601054.0,
+      "step": 1975
+    },
+    {
+      "entropy": 5.974443817138672,
+      "epoch": 1.64043082021541,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004913561567738368,
+      "loss": 5.9014,
+      "mean_token_accuracy": 0.1383673779666424,
+      "num_tokens": 3610641.0,
+      "step": 1980
+    },
+    {
+      "entropy": 5.912512636184692,
+      "epoch": 1.6445733222866612,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004912682157357146,
+      "loss": 5.8447,
+      "mean_token_accuracy": 0.13975749984383584,
+      "num_tokens": 3619351.0,
+      "step": 1985
+    },
+    {
+      "entropy": 5.853101539611816,
+      "epoch": 1.6487158243579123,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004911798384609675,
+      "loss": 5.8306,
+      "mean_token_accuracy": 0.1472959376871586,
+      "num_tokens": 3627341.0,
+      "step": 1990
+    },
+    {
+      "entropy": 5.942045879364014,
+      "epoch": 1.6528583264291632,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004910910251278626,
+      "loss": 5.8918,
+      "mean_token_accuracy": 0.14801610112190247,
+      "num_tokens": 3637132.0,
+      "step": 1995
+    },
+    {
+      "entropy": 5.919465351104736,
+      "epoch": 1.6570008285004143,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004910017759155458,
+      "loss": 5.9479,
+      "mean_token_accuracy": 0.1400071859359741,
+      "num_tokens": 3646196.0,
+      "step": 2000
+    },
+    {
+      "epoch": 1.6570008285004143,
+      "eval_entropy": 5.874394122979789,
+      "eval_loss": 6.1148576736450195,
+      "eval_mean_token_accuracy": 0.1363023624046525,
+      "eval_num_tokens": 3646196.0,
+      "eval_runtime": 2.7574,
+      "eval_samples_per_second": 1358.871,
+      "eval_steps_per_second": 170.085,
+      "step": 2000
+    },
+    {
+      "entropy": 5.967284250259399,
+      "epoch": 1.6611433305716652,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004909120910040427,
+      "loss": 5.8839,
+      "mean_token_accuracy": 0.1461731344461441,
+      "num_tokens": 3654658.0,
+      "step": 2005
+    },
+    {
+      "entropy": 6.045904684066772,
+      "epoch": 1.6652858326429163,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004908219705742574,
+      "loss": 6.1605,
+      "mean_token_accuracy": 0.13489469960331918,
+      "num_tokens": 3664509.0,
+      "step": 2010
+    },
+    {
+      "entropy": 6.002130031585693,
+      "epoch": 1.6694283347141674,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004907314148079727,
+      "loss": 5.8567,
+      "mean_token_accuracy": 0.1425239197909832,
+      "num_tokens": 3672983.0,
+      "step": 2015
+    },
+    {
+      "entropy": 5.708412790298462,
+      "epoch": 1.6735708367854185,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004906404238878496,
+      "loss": 5.7221,
+      "mean_token_accuracy": 0.14639501571655272,
+      "num_tokens": 3681196.0,
+      "step": 2020
+    },
+    {
+      "entropy": 5.97982873916626,
+      "epoch": 1.6777133388566694,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004905489979974265,
+      "loss": 5.9098,
+      "mean_token_accuracy": 0.14081615954637527,
+      "num_tokens": 3690077.0,
+      "step": 2025
+    },
+    {
+      "entropy": 5.942774772644043,
+      "epoch": 1.6818558409279205,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004904571373211197,
+      "loss": 5.9906,
+      "mean_token_accuracy": 0.13563016131520272,
+      "num_tokens": 3700121.0,
+      "step": 2030
+    },
+    {
+      "entropy": 5.897730588912964,
+      "epoch": 1.6859983429991714,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000490364842044222,
+      "loss": 5.8074,
+      "mean_token_accuracy": 0.14530285224318504,
+      "num_tokens": 3709618.0,
+      "step": 2035
+    },
+    {
+      "entropy": 5.954602289199829,
+      "epoch": 1.6901408450704225,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004902721123529031,
+      "loss": 5.9869,
+      "mean_token_accuracy": 0.12953415215015412,
+      "num_tokens": 3719570.0,
+      "step": 2040
+    },
+    {
+      "entropy": 6.074023342132568,
+      "epoch": 1.6942833471416736,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000490178948434209,
+      "loss": 5.9267,
+      "mean_token_accuracy": 0.14249598532915114,
+      "num_tokens": 3729354.0,
+      "step": 2045
+    },
+    {
+      "entropy": 5.833365964889526,
+      "epoch": 1.6984258492129247,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004900853504760614,
+      "loss": 5.8409,
+      "mean_token_accuracy": 0.14450331926345825,
+      "num_tokens": 3738453.0,
+      "step": 2050
+    },
+    {
+      "entropy": 5.888468265533447,
+      "epoch": 1.7025683512841756,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004899913186672577,
+      "loss": 5.8165,
+      "mean_token_accuracy": 0.14293194860219954,
+      "num_tokens": 3747815.0,
+      "step": 2055
+    },
+    {
+      "entropy": 5.914711236953735,
+      "epoch": 1.7067108533554267,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004898968531974702,
+      "loss": 5.9249,
+      "mean_token_accuracy": 0.14642315953969956,
+      "num_tokens": 3757298.0,
+      "step": 2060
+    },
+    {
+      "entropy": 5.978992033004761,
+      "epoch": 1.7108533554266776,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004898019542572462,
+      "loss": 5.9124,
+      "mean_token_accuracy": 0.14719650894403458,
+      "num_tokens": 3765939.0,
+      "step": 2065
+    },
+    {
+      "entropy": 6.005469894409179,
+      "epoch": 1.7149958574979287,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004897066220380073,
+      "loss": 5.933,
+      "mean_token_accuracy": 0.13779435828328132,
+      "num_tokens": 3775160.0,
+      "step": 2070
+    },
+    {
+      "entropy": 5.921374797821045,
+      "epoch": 1.7191383595691798,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004896108567320489,
+      "loss": 5.831,
+      "mean_token_accuracy": 0.14186858981847764,
+      "num_tokens": 3785181.0,
+      "step": 2075
+    },
+    {
+      "entropy": 5.972924375534058,
+      "epoch": 1.723280861640431,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048951465853254,
+      "loss": 5.9444,
+      "mean_token_accuracy": 0.14323145076632499,
+      "num_tokens": 3794531.0,
+      "step": 2080
+    },
+    {
+      "entropy": 5.953138160705566,
+      "epoch": 1.7274233637116818,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004894180276335231,
+      "loss": 5.934,
+      "mean_token_accuracy": 0.1396125227212906,
+      "num_tokens": 3804602.0,
+      "step": 2085
+    },
+    {
+      "entropy": 5.9721667766571045,
+      "epoch": 1.731565865782933,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004893209642299132,
+      "loss": 5.97,
+      "mean_token_accuracy": 0.1395590640604496,
+      "num_tokens": 3813394.0,
+      "step": 2090
+    },
+    {
+      "entropy": 5.97849326133728,
+      "epoch": 1.7357083678541838,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004892234685174976,
+      "loss": 5.962,
+      "mean_token_accuracy": 0.13808128908276557,
+      "num_tokens": 3821604.0,
+      "step": 2095
+    },
+    {
+      "entropy": 5.967495775222778,
+      "epoch": 1.739850869925435,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004891255406929359,
+      "loss": 5.9564,
+      "mean_token_accuracy": 0.13652343899011612,
+      "num_tokens": 3831977.0,
+      "step": 2100
+    },
+    {
+      "entropy": 5.98737063407898,
+      "epoch": 1.743993371996686,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004890271809537595,
+      "loss": 5.9017,
+      "mean_token_accuracy": 0.1393343411386013,
+      "num_tokens": 3840684.0,
+      "step": 2105
+    },
+    {
+      "entropy": 5.870862340927124,
+      "epoch": 1.7481358740679371,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004889283894983704,
+      "loss": 5.8147,
+      "mean_token_accuracy": 0.1389534741640091,
+      "num_tokens": 3851147.0,
+      "step": 2110
+    },
+    {
+      "entropy": 6.002704238891601,
+      "epoch": 1.752278376139188,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000488829166526042,
+      "loss": 5.9838,
+      "mean_token_accuracy": 0.13991605415940284,
+      "num_tokens": 3859881.0,
+      "step": 2115
+    },
+    {
+      "entropy": 5.948231506347656,
+      "epoch": 1.7564208782104391,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004887295122369176,
+      "loss": 6.0107,
+      "mean_token_accuracy": 0.13371825441718102,
+      "num_tokens": 3870151.0,
+      "step": 2120
+    },
+    {
+      "entropy": 5.99525203704834,
+      "epoch": 1.76056338028169,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.000488629426832011,
+      "loss": 5.9313,
+      "mean_token_accuracy": 0.13850879445672035,
+      "num_tokens": 3878398.0,
+      "step": 2125
+    },
+    {
+      "entropy": 5.924004030227661,
+      "epoch": 1.7647058823529411,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004885289105132054,
+      "loss": 5.8893,
+      "mean_token_accuracy": 0.14114601090550422,
+      "num_tokens": 3888007.0,
+      "step": 2130
+    },
+    {
+      "entropy": 5.930246257781983,
+      "epoch": 1.7688483844241922,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004884279634832532,
+      "loss": 5.8728,
+      "mean_token_accuracy": 0.14278061985969542,
+      "num_tokens": 3896945.0,
+      "step": 2135
+    },
+    {
+      "entropy": 5.940092372894287,
+      "epoch": 1.7729908864954433,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004883265859457754,
+      "loss": 5.8905,
+      "mean_token_accuracy": 0.1457919418811798,
+      "num_tokens": 3906049.0,
+      "step": 2140
+    },
+    {
+      "entropy": 5.866062164306641,
+      "epoch": 1.7771333885666944,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048822477810526186,
+      "loss": 5.8422,
+      "mean_token_accuracy": 0.1388966679573059,
+      "num_tokens": 3915050.0,
+      "step": 2145
+    },
+    {
+      "entropy": 5.966696119308471,
+      "epoch": 1.7812758906379453,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00048812254016706994,
+      "loss": 5.9205,
+      "mean_token_accuracy": 0.14728582575917243,
+      "num_tokens": 3924031.0,
+      "step": 2150
+    },
+    {
+      "entropy": 5.915832757949829,
+      "epoch": 1.7854183927091962,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004880198723374247,
+      "loss": 5.9776,
+      "mean_token_accuracy": 0.14149753525853156,
+      "num_tokens": 3933756.0,
+      "step": 2155
+    },
+    {
+      "entropy": 5.959774684906006,
+      "epoch": 1.7895608947804473,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048791677482341845,
+      "loss": 5.9592,
+      "mean_token_accuracy": 0.13750381171703338,
+      "num_tokens": 3943129.0,
+      "step": 2160
+    },
+    {
+      "entropy": 5.881538438796997,
+      "epoch": 1.7937033968516984,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048781324783301016,
+      "loss": 5.7912,
+      "mean_token_accuracy": 0.14508036673069,
+      "num_tokens": 3951494.0,
+      "step": 2165
+    },
+    {
+      "entropy": 5.946735525131226,
+      "epoch": 1.7978458989229495,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048770929157502505,
+      "loss": 5.9565,
+      "mean_token_accuracy": 0.143115097284317,
+      "num_tokens": 3960588.0,
+      "step": 2170
+    },
+    {
+      "entropy": 5.9805809497833256,
+      "epoch": 1.8019884009942007,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004876049062591543,
+      "loss": 5.9226,
+      "mean_token_accuracy": 0.13506680428981782,
+      "num_tokens": 3970135.0,
+      "step": 2175
+    },
+    {
+      "entropy": 5.950060653686523,
+      "epoch": 1.8061309030654515,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048750009209595443,
+      "loss": 5.9042,
+      "mean_token_accuracy": 0.13944360390305519,
+      "num_tokens": 3979569.0,
+      "step": 2180
+    },
+    {
+      "entropy": 5.88271656036377,
+      "epoch": 1.8102734051367024,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048739484929684714,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.144245932251215,
+      "num_tokens": 3987885.0,
+      "step": 2185
+    },
+    {
+      "entropy": 5.933677864074707,
+      "epoch": 1.8144159072079535,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048728917807411856,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.13125594183802605,
+      "num_tokens": 3997726.0,
+      "step": 2190
+    },
+    {
+      "entropy": 6.008653068542481,
+      "epoch": 1.8185584092792046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004871830786409191,
+      "loss": 5.8436,
+      "mean_token_accuracy": 0.14898036047816277,
+      "num_tokens": 4006437.0,
+      "step": 2195
+    },
+    {
+      "entropy": 5.856683444976807,
+      "epoch": 1.8227009113504558,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00048707655121126296,
+      "loss": 5.8124,
+      "mean_token_accuracy": 0.14927435666322708,
+      "num_tokens": 4015326.0,
+      "step": 2200
+    },
+    {
+      "entropy": 5.924995994567871,
+      "epoch": 1.8268434134217069,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048696959600002767,
+      "loss": 5.8722,
+      "mean_token_accuracy": 0.14032577201724053,
+      "num_tokens": 4024294.0,
+      "step": 2205
+    },
+    {
+      "entropy": 5.881852293014527,
+      "epoch": 1.8309859154929577,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048686221322295347,
+      "loss": 5.9028,
+      "mean_token_accuracy": 0.14340249821543694,
+      "num_tokens": 4033341.0,
+      "step": 2210
+    },
+    {
+      "entropy": 5.951443433761597,
+      "epoch": 1.8351284175642086,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048675440309664314,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.1474481076002121,
+      "num_tokens": 4042446.0,
+      "step": 2215
+    },
+    {
+      "entropy": 5.832607173919678,
+      "epoch": 1.8392709196354597,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00048664616583856166,
+      "loss": 5.8924,
+      "mean_token_accuracy": 0.13868724405765534,
+      "num_tokens": 4051849.0,
+      "step": 2220
+    },
+    {
+      "entropy": 6.026660823822022,
+      "epoch": 1.8434134217067109,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00048653750166703516,
+      "loss": 5.9855,
+      "mean_token_accuracy": 0.1381051518023014,
+      "num_tokens": 4061075.0,
+      "step": 2225
+    },
+    {
+      "entropy": 5.976817560195923,
+      "epoch": 1.847555923777962,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004864284108012513,
+      "loss": 5.9524,
+      "mean_token_accuracy": 0.13498588278889656,
+      "num_tokens": 4071022.0,
+      "step": 2230
+    },
+    {
+      "entropy": 5.884273719787598,
+      "epoch": 1.851698425849213,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004863188934612583,
+      "loss": 5.854,
+      "mean_token_accuracy": 0.1435965158045292,
+      "num_tokens": 4080728.0,
+      "step": 2235
+    },
+    {
+      "entropy": 5.8848789691925045,
+      "epoch": 1.855840927920464,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004862089498679645,
+      "loss": 5.8121,
+      "mean_token_accuracy": 0.15146355628967284,
+      "num_tokens": 4088712.0,
+      "step": 2240
+    },
+    {
+      "entropy": 5.904728364944458,
+      "epoch": 1.8599834299917148,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004860985802431383,
+      "loss": 5.8445,
+      "mean_token_accuracy": 0.14107747822999955,
+      "num_tokens": 4097488.0,
+      "step": 2245
+    },
+    {
+      "entropy": 5.815548610687256,
+      "epoch": 1.864125932062966,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004859877848094071,
+      "loss": 5.8328,
+      "mean_token_accuracy": 0.14647450745105745,
+      "num_tokens": 4106485.0,
+      "step": 2250
+    },
+    {
+      "entropy": 5.969652986526489,
+      "epoch": 1.868268434134217,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004858765637902575,
+      "loss": 5.8016,
+      "mean_token_accuracy": 0.14588006138801574,
+      "num_tokens": 4115806.0,
+      "step": 2255
+    },
+    {
+      "entropy": 5.982199335098267,
+      "epoch": 1.8724109362054682,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004857649174100344,
+      "loss": 5.9353,
+      "mean_token_accuracy": 0.14478921219706536,
+      "num_tokens": 4124636.0,
+      "step": 2260
+    },
+    {
+      "entropy": 5.869907474517822,
+      "epoch": 1.8765534382767193,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.0004856528458939409,
+      "loss": 5.8948,
+      "mean_token_accuracy": 0.13403457626700402,
+      "num_tokens": 4133876.0,
+      "step": 2265
+    },
+    {
+      "entropy": 5.836872100830078,
+      "epoch": 1.8806959403479702,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004855403494680373,
+      "loss": 5.8159,
+      "mean_token_accuracy": 0.14096100330352784,
+      "num_tokens": 4143555.0,
+      "step": 2270
+    },
+    {
+      "entropy": 5.871636962890625,
+      "epoch": 1.884838442419221,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00048542742835924133,
+      "loss": 5.7773,
+      "mean_token_accuracy": 0.14253296032547952,
+      "num_tokens": 4153007.0,
+      "step": 2275
+    },
+    {
+      "entropy": 5.766701364517212,
+      "epoch": 1.8889809444904722,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048531408279532705,
+      "loss": 5.8171,
+      "mean_token_accuracy": 0.14552054405212403,
+      "num_tokens": 4162107.0,
+      "step": 2280
+    },
+    {
+      "entropy": 5.884533357620239,
+      "epoch": 1.8931234465617233,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048520031300492507,
+      "loss": 5.8208,
+      "mean_token_accuracy": 0.14203491136431695,
+      "num_tokens": 4170920.0,
+      "step": 2285
+    },
+    {
+      "entropy": 5.9367118835449215,
+      "epoch": 1.8972659486329744,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048508611921752124,
+      "loss": 5.8366,
+      "mean_token_accuracy": 0.14547978863120078,
+      "num_tokens": 4180226.0,
+      "step": 2290
+    },
+    {
+      "entropy": 5.804201984405518,
+      "epoch": 1.9014084507042255,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00048497150166345703,
+      "loss": 5.7799,
+      "mean_token_accuracy": 0.14307984560728074,
+      "num_tokens": 4189283.0,
+      "step": 2295
+    },
+    {
+      "entropy": 5.833661937713623,
+      "epoch": 1.9055509527754764,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004848564605739287,
+      "loss": 5.8181,
+      "mean_token_accuracy": 0.14286661818623542,
+      "num_tokens": 4199017.0,
+      "step": 2300
+    },
+    {
+      "entropy": 5.985245418548584,
+      "epoch": 1.9096934548467275,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048474099618098644,
+      "loss": 5.9557,
+      "mean_token_accuracy": 0.13776218444108962,
+      "num_tokens": 4207756.0,
+      "step": 2305
+    },
+    {
+      "entropy": 5.926583385467529,
+      "epoch": 1.9138359569179784,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004846251087175348,
+      "loss": 5.8467,
+      "mean_token_accuracy": 0.14270823299884797,
+      "num_tokens": 4216721.0,
+      "step": 2310
+    },
+    {
+      "entropy": 5.816466999053955,
+      "epoch": 1.9179784589892295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004845087984173312,
+      "loss": 5.8214,
+      "mean_token_accuracy": 0.14952016696333886,
+      "num_tokens": 4225596.0,
+      "step": 2315
+    },
+    {
+      "entropy": 5.975145244598389,
+      "epoch": 1.9221209610604806,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048439206551498644,
+      "loss": 5.8881,
+      "mean_token_accuracy": 0.14604572355747222,
+      "num_tokens": 4234500.0,
+      "step": 2320
+    },
+    {
+      "entropy": 5.83410792350769,
+      "epoch": 1.9262634631317317,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004842749102459635,
+      "loss": 5.8331,
+      "mean_token_accuracy": 0.14477182626724244,
+      "num_tokens": 4243240.0,
+      "step": 2325
+    },
+    {
+      "entropy": 5.799895906448365,
+      "epoch": 1.9304059652029826,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048415733284657727,
+      "loss": 5.8249,
+      "mean_token_accuracy": 0.14724751114845275,
+      "num_tokens": 4251892.0,
+      "step": 2330
+    },
+    {
+      "entropy": 5.914888668060303,
+      "epoch": 1.9345484672742337,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004840393335539943,
+      "loss": 5.784,
+      "mean_token_accuracy": 0.14537777602672577,
+      "num_tokens": 4261447.0,
+      "step": 2335
+    },
+    {
+      "entropy": 5.93565788269043,
+      "epoch": 1.9386909693454846,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048392091260623195,
+      "loss": 5.9202,
+      "mean_token_accuracy": 0.1471864774823189,
+      "num_tokens": 4270120.0,
+      "step": 2340
+    },
+    {
+      "entropy": 5.905978488922119,
+      "epoch": 1.9428334714167357,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048380207024215836,
+      "loss": 5.7991,
+      "mean_token_accuracy": 0.1482786476612091,
+      "num_tokens": 4278300.0,
+      "step": 2345
+    },
+    {
+      "entropy": 5.905145263671875,
+      "epoch": 1.9469759734879868,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00048368280670149145,
+      "loss": 5.8487,
+      "mean_token_accuracy": 0.1461447760462761,
+      "num_tokens": 4286454.0,
+      "step": 2350
+    },
+    {
+      "entropy": 5.805000495910645,
+      "epoch": 1.951118475559238,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004835631222247989,
+      "loss": 5.7243,
+      "mean_token_accuracy": 0.15050614029169082,
+      "num_tokens": 4294752.0,
+      "step": 2355
+    },
+    {
+      "entropy": 5.907592630386352,
+      "epoch": 1.9552609776304888,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00048344301705349735,
+      "loss": 5.7974,
+      "mean_token_accuracy": 0.14830030649900436,
+      "num_tokens": 4303195.0,
+      "step": 2360
+    },
+    {
+      "entropy": 5.841587924957276,
+      "epoch": 1.95940347970174,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048332249142985195,
+      "loss": 5.9211,
+      "mean_token_accuracy": 0.1373597078025341,
+      "num_tokens": 4311961.0,
+      "step": 2365
+    },
+    {
+      "entropy": 5.900353670120239,
+      "epoch": 1.9635459817729908,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004832015455969763,
+      "loss": 5.7748,
+      "mean_token_accuracy": 0.13879901468753814,
+      "num_tokens": 4322267.0,
+      "step": 2370
+    },
+    {
+      "entropy": 5.774641275405884,
+      "epoch": 1.9676884838442419,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048308017979883114,
+      "loss": 5.8838,
+      "mean_token_accuracy": 0.1426581546664238,
+      "num_tokens": 4330584.0,
+      "step": 2375
+    },
+    {
+      "entropy": 5.840176010131836,
+      "epoch": 1.971830985915493,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048295839428022454,
+      "loss": 5.7215,
+      "mean_token_accuracy": 0.14949245899915695,
+      "num_tokens": 4339215.0,
+      "step": 2380
+    },
+    {
+      "entropy": 5.869688034057617,
+      "epoch": 1.975973487986744,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00048283618928681127,
+      "loss": 5.7418,
+      "mean_token_accuracy": 0.1501791574060917,
+      "num_tokens": 4347711.0,
+      "step": 2385
+    },
+    {
+      "entropy": 5.764533996582031,
+      "epoch": 1.980115990057995,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004827135650650923,
+      "loss": 5.7445,
+      "mean_token_accuracy": 0.14758301600813867,
+      "num_tokens": 4356982.0,
+      "step": 2390
+    },
+    {
+      "entropy": 5.770398235321045,
+      "epoch": 1.984258492129246,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004825905218624139,
+      "loss": 5.7696,
+      "mean_token_accuracy": 0.14773683473467827,
+      "num_tokens": 4365378.0,
+      "step": 2395
+    },
+    {
+      "entropy": 5.9908288478851315,
+      "epoch": 1.988400994200497,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048246705992696756,
+      "loss": 5.8174,
+      "mean_token_accuracy": 0.14142358154058457,
+      "num_tokens": 4374007.0,
+      "step": 2400
+    },
+    {
+      "entropy": 5.9741987705230715,
+      "epoch": 1.992543496271748,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048234317950778975,
+      "loss": 5.9346,
+      "mean_token_accuracy": 0.1409923940896988,
+      "num_tokens": 4383909.0,
+      "step": 2405
+    },
+    {
+      "entropy": 5.967488718032837,
+      "epoch": 1.9966859983429992,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004822188808547607,
+      "loss": 5.9967,
+      "mean_token_accuracy": 0.13560240790247918,
+      "num_tokens": 4393145.0,
+      "step": 2410
+    },
+    {
+      "entropy": 5.751282596588135,
+      "epoch": 2.0008285004142503,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004820941642186043,
+      "loss": 5.7146,
+      "mean_token_accuracy": 0.14043126851320267,
+      "num_tokens": 4402024.0,
+      "step": 2415
+    },
+    {
+      "entropy": 5.91456356048584,
+      "epoch": 2.0049710024855014,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004819690298508879,
+      "loss": 5.5395,
+      "mean_token_accuracy": 0.1603303700685501,
+      "num_tokens": 4411377.0,
+      "step": 2420
+    },
+    {
+      "entropy": 5.758482313156128,
+      "epoch": 2.009113504556752,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048184347800402083,
+      "loss": 5.4299,
+      "mean_token_accuracy": 0.16564757078886033,
+      "num_tokens": 4419781.0,
+      "step": 2425
+    },
+    {
+      "entropy": 5.727555131912231,
+      "epoch": 2.013256006628003,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004817175089312551,
+      "loss": 5.4154,
+      "mean_token_accuracy": 0.16400155574083328,
+      "num_tokens": 4428427.0,
+      "step": 2430
+    },
+    {
+      "entropy": 5.749885892868042,
+      "epoch": 2.0173985086992543,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048159112288668403,
+      "loss": 5.4586,
+      "mean_token_accuracy": 0.15933601409196854,
+      "num_tokens": 4438156.0,
+      "step": 2435
+    },
+    {
+      "entropy": 5.876013088226318,
+      "epoch": 2.0215410107705054,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00048146432012524215,
+      "loss": 5.4819,
+      "mean_token_accuracy": 0.16306492537260056,
+      "num_tokens": 4446342.0,
+      "step": 2440
+    },
+    {
+      "entropy": 5.738983201980591,
+      "epoch": 2.0256835128417565,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00048133710090270446,
+      "loss": 5.5229,
+      "mean_token_accuracy": 0.1542331963777542,
+      "num_tokens": 4455582.0,
+      "step": 2445
+    },
+    {
+      "entropy": 5.815389633178711,
+      "epoch": 2.0298260149130076,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048120946547568596,
+      "loss": 5.5375,
+      "mean_token_accuracy": 0.15604802072048188,
+      "num_tokens": 4464518.0,
+      "step": 2450
+    },
+    {
+      "entropy": 5.927202749252319,
+      "epoch": 2.0339685169842583,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00048108141410164133,
+      "loss": 5.6588,
+      "mean_token_accuracy": 0.14534952044486998,
+      "num_tokens": 4475031.0,
+      "step": 2455
+    },
+    {
+      "entropy": 5.8722837448120115,
+      "epoch": 2.0381110190555094,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004809529470388642,
+      "loss": 5.5396,
+      "mean_token_accuracy": 0.1577153742313385,
+      "num_tokens": 4484609.0,
+      "step": 2460
+    },
+    {
+      "entropy": 5.787671709060669,
+      "epoch": 2.0422535211267605,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004808240645464866,
+      "loss": 5.5698,
+      "mean_token_accuracy": 0.15477177649736404,
+      "num_tokens": 4494238.0,
+      "step": 2465
+    },
+    {
+      "entropy": 5.684235668182373,
+      "epoch": 2.0463960231980116,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004806947668844787,
+      "loss": 5.4573,
+      "mean_token_accuracy": 0.16172746568918228,
+      "num_tokens": 4503258.0,
+      "step": 2470
+    },
+    {
+      "entropy": 5.786364412307739,
+      "epoch": 2.0505385252692627,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048056505431364794,
+      "loss": 5.5091,
+      "mean_token_accuracy": 0.15975141078233718,
+      "num_tokens": 4512071.0,
+      "step": 2475
+    },
+    {
+      "entropy": 5.736668491363526,
+      "epoch": 2.054681027340514,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00048043492709563877,
+      "loss": 5.3461,
+      "mean_token_accuracy": 0.17059434503316878,
+      "num_tokens": 4520219.0,
+      "step": 2480
+    },
+    {
+      "entropy": 5.672813034057617,
+      "epoch": 2.0588235294117645,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048030438549293193,
+      "loss": 5.5568,
+      "mean_token_accuracy": 0.15284566581249237,
+      "num_tokens": 4529386.0,
+      "step": 2485
+    },
+    {
+      "entropy": 5.830966377258301,
+      "epoch": 2.0629660314830156,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00048017342976884424,
+      "loss": 5.5638,
+      "mean_token_accuracy": 0.15199215039610864,
+      "num_tokens": 4538860.0,
+      "step": 2490
+    },
+    {
+      "entropy": 5.761076402664185,
+      "epoch": 2.0671085335542667,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048004206018752773,
+      "loss": 5.5299,
+      "mean_token_accuracy": 0.15335657596588134,
+      "num_tokens": 4547842.0,
+      "step": 2495
+    },
+    {
+      "entropy": 5.733208799362183,
+      "epoch": 2.071251035625518,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047991027701396895,
+      "loss": 5.5026,
+      "mean_token_accuracy": 0.15411428660154342,
+      "num_tokens": 4556238.0,
+      "step": 2500
+    },
+    {
+      "epoch": 2.071251035625518,
+      "eval_entropy": 5.642364594473768,
+      "eval_loss": 6.032641410827637,
+      "eval_mean_token_accuracy": 0.1416530203399882,
+      "eval_num_tokens": 4556238.0,
+      "eval_runtime": 2.7817,
+      "eval_samples_per_second": 1347.034,
+      "eval_steps_per_second": 168.604,
+      "step": 2500
+    },
+    {
+      "entropy": 5.732073068618774,
+      "epoch": 2.075393537696769,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004797780805139892,
+      "loss": 5.5069,
+      "mean_token_accuracy": 0.1587075412273407,
+      "num_tokens": 4565684.0,
+      "step": 2505
+    },
+    {
+      "entropy": 5.722462224960327,
+      "epoch": 2.07953603976802,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004796454709542432,
+      "loss": 5.467,
+      "mean_token_accuracy": 0.1590041533112526,
+      "num_tokens": 4575001.0,
+      "step": 2510
+    },
+    {
+      "entropy": 5.797696113586426,
+      "epoch": 2.083678541839271,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004795124486022189,
+      "loss": 5.5732,
+      "mean_token_accuracy": 0.15362634360790253,
+      "num_tokens": 4584128.0,
+      "step": 2515
+    },
+    {
+      "entropy": 5.711380529403686,
+      "epoch": 2.087821043910522,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047937901372623694,
+      "loss": 5.4191,
+      "mean_token_accuracy": 0.16894411891698838,
+      "num_tokens": 4593011.0,
+      "step": 2520
+    },
+    {
+      "entropy": 5.688450145721435,
+      "epoch": 2.091963545981773,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00047924516659545005,
+      "loss": 5.4668,
+      "mean_token_accuracy": 0.16164053976535797,
+      "num_tokens": 4602676.0,
+      "step": 2525
+    },
+    {
+      "entropy": 5.79151463508606,
+      "epoch": 2.096106048053024,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004791109074798425,
+      "loss": 5.5522,
+      "mean_token_accuracy": 0.15433578938245773,
+      "num_tokens": 4611915.0,
+      "step": 2530
+    },
+    {
+      "entropy": 5.748647403717041,
+      "epoch": 2.100248550124275,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004789762366502296,
+      "loss": 5.5184,
+      "mean_token_accuracy": 0.15959300100803375,
+      "num_tokens": 4621396.0,
+      "step": 2535
+    },
+    {
+      "entropy": 5.7374598503112795,
+      "epoch": 2.1043910521955262,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004788411543782571,
+      "loss": 5.5201,
+      "mean_token_accuracy": 0.1591552659869194,
+      "num_tokens": 4630533.0,
+      "step": 2540
+    },
+    {
+      "entropy": 5.678498649597168,
+      "epoch": 2.108533554266777,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004787056609364008,
+      "loss": 5.4599,
+      "mean_token_accuracy": 0.1542729303240776,
+      "num_tokens": 4639023.0,
+      "step": 2545
+    },
+    {
+      "entropy": 5.711474943161011,
+      "epoch": 2.112676056338028,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004785697565979657,
+      "loss": 5.4732,
+      "mean_token_accuracy": 0.15900285094976424,
+      "num_tokens": 4647975.0,
+      "step": 2550
+    },
+    {
+      "entropy": 5.72883243560791,
+      "epoch": 2.116818558409279,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004784334416370857,
+      "loss": 5.498,
+      "mean_token_accuracy": 0.15594277828931807,
+      "num_tokens": 4657555.0,
+      "step": 2555
+    },
+    {
+      "entropy": 5.745093822479248,
+      "epoch": 2.1209610604805302,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004782967163287231,
+      "loss": 5.4193,
+      "mean_token_accuracy": 0.16100153774023057,
+      "num_tokens": 4667228.0,
+      "step": 2560
+    },
+    {
+      "entropy": 5.716836738586426,
+      "epoch": 2.1251035625517813,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047815958094866756,
+      "loss": 5.4957,
+      "mean_token_accuracy": 0.1513967014849186,
+      "num_tokens": 4676723.0,
+      "step": 2565
+    },
+    {
+      "entropy": 5.7276163578033445,
+      "epoch": 2.1292460646230325,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004780220357735363,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.15479894131422042,
+      "num_tokens": 4686241.0,
+      "step": 2570
+    },
+    {
+      "entropy": 5.764811038970947,
+      "epoch": 2.1333885666942836,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047788408108077294,
+      "loss": 5.5404,
+      "mean_token_accuracy": 0.1561874568462372,
+      "num_tokens": 4695195.0,
+      "step": 2575
+    },
+    {
+      "entropy": 5.739376497268677,
+      "epoch": 2.1375310687655342,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004777457171486471,
+      "loss": 5.5871,
+      "mean_token_accuracy": 0.15551834553480148,
+      "num_tokens": 4704716.0,
+      "step": 2580
+    },
+    {
+      "entropy": 5.769967555999756,
+      "epoch": 2.1416735708367853,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004776069442562541,
+      "loss": 5.5562,
+      "mean_token_accuracy": 0.15339450240135194,
+      "num_tokens": 4713720.0,
+      "step": 2585
+    },
+    {
+      "entropy": 5.733342504501342,
+      "epoch": 2.1458160729080364,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004774677626835138,
+      "loss": 5.5366,
+      "mean_token_accuracy": 0.15301723331212996,
+      "num_tokens": 4722428.0,
+      "step": 2590
+    },
+    {
+      "entropy": 5.787648677825928,
+      "epoch": 2.1499585749792876,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00047732817271117084,
+      "loss": 5.5365,
+      "mean_token_accuracy": 0.15334974452853203,
+      "num_tokens": 4732395.0,
+      "step": 2595
+    },
+    {
+      "entropy": 5.773520803451538,
+      "epoch": 2.1541010770505387,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004771881746207934,
+      "loss": 5.5206,
+      "mean_token_accuracy": 0.15674114525318145,
+      "num_tokens": 4741071.0,
+      "step": 2600
+    },
+    {
+      "entropy": 5.607013797760009,
+      "epoch": 2.1582435791217898,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047704776869477285,
+      "loss": 5.5153,
+      "mean_token_accuracy": 0.15076877027750016,
+      "num_tokens": 4749876.0,
+      "step": 2605
+    },
+    {
+      "entropy": 5.784313154220581,
+      "epoch": 2.1623860811930404,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00047690695521632344,
+      "loss": 5.4669,
+      "mean_token_accuracy": 0.16002854704856873,
+      "num_tokens": 4758721.0,
+      "step": 2610
+    },
+    {
+      "entropy": 5.6919313907623295,
+      "epoch": 2.1665285832642915,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047676573446948114,
+      "loss": 5.4832,
+      "mean_token_accuracy": 0.15925751626491547,
+      "num_tokens": 4767162.0,
+      "step": 2615
+    },
+    {
+      "entropy": 5.71550760269165,
+      "epoch": 2.1706710853355426,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047662410673910376,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.1629578560590744,
+      "num_tokens": 4776397.0,
+      "step": 2620
+    },
+    {
+      "entropy": 5.665811157226562,
+      "epoch": 2.1748135874067938,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047648207231087,
+      "loss": 5.4579,
+      "mean_token_accuracy": 0.15894875824451446,
+      "num_tokens": 4784822.0,
+      "step": 2625
+    },
+    {
+      "entropy": 5.71003270149231,
+      "epoch": 2.178956089478045,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004763396314712786,
+      "loss": 5.5297,
+      "mean_token_accuracy": 0.15831661075353623,
+      "num_tokens": 4794272.0,
+      "step": 2630
+    },
+    {
+      "entropy": 5.64026665687561,
+      "epoch": 2.183098591549296,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004761967845076484,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.15510014593601226,
+      "num_tokens": 4804314.0,
+      "step": 2635
+    },
+    {
+      "entropy": 5.6847330093383786,
+      "epoch": 2.1872410936205466,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004760535317081174,
+      "loss": 5.4694,
+      "mean_token_accuracy": 0.15845878273248673,
+      "num_tokens": 4812685.0,
+      "step": 2640
+    },
+    {
+      "entropy": 5.715235567092895,
+      "epoch": 2.1913835956917977,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047590987336164207,
+      "loss": 5.5532,
+      "mean_token_accuracy": 0.1562129870057106,
+      "num_tokens": 4821761.0,
+      "step": 2645
+    },
+    {
+      "entropy": 5.741413831710815,
+      "epoch": 2.195526097763049,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00047576580975799705,
+      "loss": 5.5307,
+      "mean_token_accuracy": 0.1623195379972458,
+      "num_tokens": 4830515.0,
+      "step": 2650
+    },
+    {
+      "entropy": 5.782008934020996,
+      "epoch": 2.1996685998343,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004756213411877743,
+      "loss": 5.5059,
+      "mean_token_accuracy": 0.14879967421293258,
+      "num_tokens": 4840741.0,
+      "step": 2655
+    },
+    {
+      "entropy": 5.612497425079345,
+      "epoch": 2.203811101905551,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047547646794238277,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.16198884546756745,
+      "num_tokens": 4849571.0,
+      "step": 2660
+    },
+    {
+      "entropy": 5.689143991470337,
+      "epoch": 2.207953603976802,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047533119031404757,
+      "loss": 5.4138,
+      "mean_token_accuracy": 0.1696420982480049,
+      "num_tokens": 4857194.0,
+      "step": 2665
+    },
+    {
+      "entropy": 5.632621717453003,
+      "epoch": 2.212096106048053,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00047518550859580966,
+      "loss": 5.5074,
+      "mean_token_accuracy": 0.1592964008450508,
+      "num_tokens": 4865894.0,
+      "step": 2670
+    },
+    {
+      "entropy": 5.74289755821228,
+      "epoch": 2.216238608119304,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004750394230815249,
+      "loss": 5.5268,
+      "mean_token_accuracy": 0.15829544067382811,
+      "num_tokens": 4875131.0,
+      "step": 2675
+    },
+    {
+      "entropy": 5.670539522171021,
+      "epoch": 2.220381110190555,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047489293406586375,
+      "loss": 5.3777,
+      "mean_token_accuracy": 0.1620385766029358,
+      "num_tokens": 4884098.0,
+      "step": 2680
+    },
+    {
+      "entropy": 5.657269620895386,
+      "epoch": 2.224523612261806,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004747460418443106,
+      "loss": 5.4373,
+      "mean_token_accuracy": 0.15941016003489494,
+      "num_tokens": 4892963.0,
+      "step": 2685
+    },
+    {
+      "entropy": 5.690485191345215,
+      "epoch": 2.2286661143330573,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047459874671316305,
+      "loss": 5.4903,
+      "mean_token_accuracy": 0.15749651044607163,
+      "num_tokens": 4902097.0,
+      "step": 2690
+    },
+    {
+      "entropy": 5.608357000350952,
+      "epoch": 2.2328086164043084,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00047445104896953153,
+      "loss": 5.4015,
+      "mean_token_accuracy": 0.16532779037952422,
+      "num_tokens": 4910469.0,
+      "step": 2695
+    },
+    {
+      "entropy": 5.82715744972229,
+      "epoch": 2.236951118475559,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047430294891133846,
+      "loss": 5.6892,
+      "mean_token_accuracy": 0.1501491665840149,
+      "num_tokens": 4921024.0,
+      "step": 2700
+    },
+    {
+      "entropy": 5.749764776229858,
+      "epoch": 2.24109362054681,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004741544468373179,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15474629402160645,
+      "num_tokens": 4930297.0,
+      "step": 2705
+    },
+    {
+      "entropy": 5.687776947021485,
+      "epoch": 2.2452361226180613,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00047400554304701474,
+      "loss": 5.4692,
+      "mean_token_accuracy": 0.16049361675977708,
+      "num_tokens": 4938971.0,
+      "step": 2710
+    },
+    {
+      "entropy": 5.571053695678711,
+      "epoch": 2.2493786246893124,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047385623784078427,
+      "loss": 5.4899,
+      "mean_token_accuracy": 0.15803302526474,
+      "num_tokens": 4948531.0,
+      "step": 2715
+    },
+    {
+      "entropy": 5.787879133224488,
+      "epoch": 2.2535211267605635,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004737065315197913,
+      "loss": 5.5664,
+      "mean_token_accuracy": 0.1587745025753975,
+      "num_tokens": 4957430.0,
+      "step": 2720
+    },
+    {
+      "entropy": 5.720958280563354,
+      "epoch": 2.2576636288318146,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047355642438600987,
+      "loss": 5.5478,
+      "mean_token_accuracy": 0.16044806241989135,
+      "num_tokens": 4966681.0,
+      "step": 2725
+    },
+    {
+      "entropy": 5.638753175735474,
+      "epoch": 2.2618061309030653,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004734059167422225,
+      "loss": 5.4123,
+      "mean_token_accuracy": 0.1639780133962631,
+      "num_tokens": 4975327.0,
+      "step": 2730
+    },
+    {
+      "entropy": 5.634887552261352,
+      "epoch": 2.2659486329743164,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047325500889201956,
+      "loss": 5.4725,
+      "mean_token_accuracy": 0.16207436099648476,
+      "num_tokens": 4983741.0,
+      "step": 2735
+    },
+    {
+      "entropy": 5.673438644409179,
+      "epoch": 2.2700911350455675,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004731037011397986,
+      "loss": 5.5662,
+      "mean_token_accuracy": 0.15884149968624114,
+      "num_tokens": 4993171.0,
+      "step": 2740
+    },
+    {
+      "entropy": 5.752307653427124,
+      "epoch": 2.2742336371168186,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047295199379076403,
+      "loss": 5.6,
+      "mean_token_accuracy": 0.15322241187095642,
+      "num_tokens": 5002810.0,
+      "step": 2745
+    },
+    {
+      "entropy": 5.7073346138000485,
+      "epoch": 2.2783761391880697,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000472799887150926,
+      "loss": 5.4893,
+      "mean_token_accuracy": 0.15741414427757264,
+      "num_tokens": 5011875.0,
+      "step": 2750
+    },
+    {
+      "entropy": 5.679959297180176,
+      "epoch": 2.282518641259321,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004726473815271003,
+      "loss": 5.5349,
+      "mean_token_accuracy": 0.15855301022529603,
+      "num_tokens": 5020780.0,
+      "step": 2755
+    },
+    {
+      "entropy": 5.669374132156372,
+      "epoch": 2.286661143330572,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047249447722690747,
+      "loss": 5.4331,
+      "mean_token_accuracy": 0.16046710908412934,
+      "num_tokens": 5029896.0,
+      "step": 2760
+    },
+    {
+      "entropy": 5.652454280853272,
+      "epoch": 2.2908036454018226,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047234117455877215,
+      "loss": 5.4932,
+      "mean_token_accuracy": 0.1545606277883053,
+      "num_tokens": 5038956.0,
+      "step": 2765
+    },
+    {
+      "entropy": 5.639697694778443,
+      "epoch": 2.2949461474730737,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004721874738319225,
+      "loss": 5.4594,
+      "mean_token_accuracy": 0.17258906960487366,
+      "num_tokens": 5047005.0,
+      "step": 2770
+    },
+    {
+      "entropy": 5.655842065811157,
+      "epoch": 2.299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004720333753563898,
+      "loss": 5.5008,
+      "mean_token_accuracy": 0.15116662830114364,
+      "num_tokens": 5056475.0,
+      "step": 2775
+    },
+    {
+      "entropy": 5.704644584655762,
+      "epoch": 2.303231151615576,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00047187887944300747,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16439782381057738,
+      "num_tokens": 5064978.0,
+      "step": 2780
+    },
+    {
+      "entropy": 5.726413679122925,
+      "epoch": 2.307373653686827,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004717239864034107,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.15506226867437362,
+      "num_tokens": 5074235.0,
+      "step": 2785
+    },
+    {
+      "entropy": 5.662968683242798,
+      "epoch": 2.3115161557580777,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047156869655003554,
+      "loss": 5.4481,
+      "mean_token_accuracy": 0.16141191571950914,
+      "num_tokens": 5082386.0,
+      "step": 2790
+    },
+    {
+      "entropy": 5.631324100494385,
+      "epoch": 2.315658657829329,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047141301019611875,
+      "loss": 5.4164,
+      "mean_token_accuracy": 0.16636510640382768,
+      "num_tokens": 5090634.0,
+      "step": 2795
+    },
+    {
+      "entropy": 5.818879795074463,
+      "epoch": 2.31980115990058,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004712569276556967,
+      "loss": 5.5906,
+      "mean_token_accuracy": 0.14937217235565187,
+      "num_tokens": 5099003.0,
+      "step": 2800
+    },
+    {
+      "entropy": 5.617757177352905,
+      "epoch": 2.323943661971831,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00047110044924360484,
+      "loss": 5.6681,
+      "mean_token_accuracy": 0.1565680392086506,
+      "num_tokens": 5108631.0,
+      "step": 2805
+    },
+    {
+      "entropy": 5.732515859603882,
+      "epoch": 2.328086164043082,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00047094357527547725,
+      "loss": 5.4545,
+      "mean_token_accuracy": 0.15828853249549865,
+      "num_tokens": 5117309.0,
+      "step": 2810
+    },
+    {
+      "entropy": 5.686485624313354,
+      "epoch": 2.332228666114333,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004707863060677459,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.1627561032772064,
+      "num_tokens": 5126305.0,
+      "step": 2815
+    },
+    {
+      "entropy": 5.821760654449463,
+      "epoch": 2.3363711681855843,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00047062864193764,
+      "loss": 5.6022,
+      "mean_token_accuracy": 0.15580221712589265,
+      "num_tokens": 5135338.0,
+      "step": 2820
+    },
+    {
+      "entropy": 5.676449155807495,
+      "epoch": 2.340513670256835,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047047058320318525,
+      "loss": 5.5298,
+      "mean_token_accuracy": 0.16162888556718827,
+      "num_tokens": 5144518.0,
+      "step": 2825
+    },
+    {
+      "entropy": 5.702890157699585,
+      "epoch": 2.344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004703121301832034,
+      "loss": 5.6262,
+      "mean_token_accuracy": 0.15101130157709122,
+      "num_tokens": 5154102.0,
+      "step": 2830
+    },
+    {
+      "entropy": 5.7891247272491455,
+      "epoch": 2.348798674399337,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047015328319731153,
+      "loss": 5.5642,
+      "mean_token_accuracy": 0.15612353384494781,
+      "num_tokens": 5163719.0,
+      "step": 2835
+    },
+    {
+      "entropy": 5.677855682373047,
+      "epoch": 2.3529411764705883,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004699940425659215,
+      "loss": 5.5247,
+      "mean_token_accuracy": 0.15519936084747316,
+      "num_tokens": 5173192.0,
+      "step": 2840
+    },
+    {
+      "entropy": 5.622324132919312,
+      "epoch": 2.3570836785418394,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00046983440861023877,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.1663823500275612,
+      "num_tokens": 5182438.0,
+      "step": 2845
+    },
+    {
+      "entropy": 5.699106454849243,
+      "epoch": 2.36122618061309,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046967438165226275,
+      "loss": 5.6015,
+      "mean_token_accuracy": 0.15352728664875032,
+      "num_tokens": 5191595.0,
+      "step": 2850
+    },
+    {
+      "entropy": 5.659265756607056,
+      "epoch": 2.365368682684341,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004695139620147851,
+      "loss": 5.4682,
+      "mean_token_accuracy": 0.1643056571483612,
+      "num_tokens": 5200174.0,
+      "step": 2855
+    },
+    {
+      "entropy": 5.713242053985596,
+      "epoch": 2.3695111847555923,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046935315002138994,
+      "loss": 5.5804,
+      "mean_token_accuracy": 0.15417435318231582,
+      "num_tokens": 5210454.0,
+      "step": 2860
+    },
+    {
+      "entropy": 5.727554702758789,
+      "epoch": 2.3736536868268434,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004691919459964525,
+      "loss": 5.5019,
+      "mean_token_accuracy": 0.16056040227413176,
+      "num_tokens": 5219243.0,
+      "step": 2865
+    },
+    {
+      "entropy": 5.5862212657928465,
+      "epoch": 2.3777961888980945,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046903035026513894,
+      "loss": 5.4319,
+      "mean_token_accuracy": 0.1613735228776932,
+      "num_tokens": 5228656.0,
+      "step": 2870
+    },
+    {
+      "entropy": 5.587289905548095,
+      "epoch": 2.3819386909693456,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004688683631534056,
+      "loss": 5.4859,
+      "mean_token_accuracy": 0.156366066634655,
+      "num_tokens": 5237807.0,
+      "step": 2875
+    },
+    {
+      "entropy": 5.775411653518677,
+      "epoch": 2.3860811930405967,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004687059849879981,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.1609719067811966,
+      "num_tokens": 5247432.0,
+      "step": 2880
+    },
+    {
+      "entropy": 5.597807741165161,
+      "epoch": 2.3902236951118474,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00046854321609645093,
+      "loss": 5.4145,
+      "mean_token_accuracy": 0.16111126840114592,
+      "num_tokens": 5256680.0,
+      "step": 2885
+    },
+    {
+      "entropy": 5.6380726337432865,
+      "epoch": 2.3943661971830985,
+      "grad_norm": 2.15625,
+      "learning_rate": 0.00046838005680708677,
+      "loss": 5.5296,
+      "mean_token_accuracy": 0.14821895360946655,
+      "num_tokens": 5266793.0,
+      "step": 2890
+    },
+    {
+      "entropy": 5.710390281677246,
+      "epoch": 2.3985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046821650744901573,
+      "loss": 5.4452,
+      "mean_token_accuracy": 0.15857197493314742,
+      "num_tokens": 5275028.0,
+      "step": 2895
+    },
+    {
+      "entropy": 5.598506593704224,
+      "epoch": 2.4026512013256007,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004680525683521347,
+      "loss": 5.5226,
+      "mean_token_accuracy": 0.1566852644085884,
+      "num_tokens": 5284162.0,
+      "step": 2900
+    },
+    {
+      "entropy": 5.757242631912232,
+      "epoch": 2.406793703396852,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004678882398471269,
+      "loss": 5.5911,
+      "mean_token_accuracy": 0.15474308133125306,
+      "num_tokens": 5293263.0,
+      "step": 2905
+    },
+    {
+      "entropy": 5.654598569869995,
+      "epoch": 2.4109362054681025,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046772352226546066,
+      "loss": 5.477,
+      "mean_token_accuracy": 0.1666618600487709,
+      "num_tokens": 5301373.0,
+      "step": 2910
+    },
+    {
+      "entropy": 5.643638467788696,
+      "epoch": 2.4150787075393536,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004675584159393895,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.15203802064061164,
+      "num_tokens": 5311009.0,
+      "step": 2915
+    },
+    {
+      "entropy": 5.699149656295776,
+      "epoch": 2.4192212096106047,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046739292120195083,
+      "loss": 5.5245,
+      "mean_token_accuracy": 0.16085631400346756,
+      "num_tokens": 5320341.0,
+      "step": 2920
+    },
+    {
+      "entropy": 5.642888498306275,
+      "epoch": 2.423363711681856,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004672270383869657,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1610630214214325,
+      "num_tokens": 5329250.0,
+      "step": 2925
+    },
+    {
+      "entropy": 5.62935357093811,
+      "epoch": 2.427506213753107,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004670607678290379,
+      "loss": 5.4471,
+      "mean_token_accuracy": 0.16571807861328125,
+      "num_tokens": 5336515.0,
+      "step": 2930
+    },
+    {
+      "entropy": 5.655415058135986,
+      "epoch": 2.431648715824358,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004668941098635532,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.1595415398478508,
+      "num_tokens": 5346043.0,
+      "step": 2935
+    },
+    {
+      "entropy": 5.642036104202271,
+      "epoch": 2.435791217895609,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00046672706482667897,
+      "loss": 5.4925,
+      "mean_token_accuracy": 0.15832271426916122,
+      "num_tokens": 5355124.0,
+      "step": 2940
+    },
+    {
+      "entropy": 5.647988367080688,
+      "epoch": 2.43993371996686,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004665596330553633,
+      "loss": 5.5051,
+      "mean_token_accuracy": 0.1597411409020424,
+      "num_tokens": 5364556.0,
+      "step": 2945
+    },
+    {
+      "entropy": 5.67459397315979,
+      "epoch": 2.444076222038111,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046639181488733445,
+      "loss": 5.5316,
+      "mean_token_accuracy": 0.15941161364316941,
+      "num_tokens": 5373778.0,
+      "step": 2950
+    },
+    {
+      "entropy": 5.725692987442017,
+      "epoch": 2.448218724109362,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004662236106610999,
+      "loss": 5.5123,
+      "mean_token_accuracy": 0.15816445648670197,
+      "num_tokens": 5382633.0,
+      "step": 2955
+    },
+    {
+      "entropy": 5.5606146335601805,
+      "epoch": 2.452361226180613,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00046605502071594604,
+      "loss": 5.4163,
+      "mean_token_accuracy": 0.16387673169374467,
+      "num_tokens": 5391442.0,
+      "step": 2960
+    },
+    {
+      "entropy": 5.569208765029908,
+      "epoch": 2.4565037282518642,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004658860453919371,
+      "loss": 5.4388,
+      "mean_token_accuracy": 0.1621423229575157,
+      "num_tokens": 5400504.0,
+      "step": 2965
+    },
+    {
+      "entropy": 5.587312078475952,
+      "epoch": 2.460646230323115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004657166850299149,
+      "loss": 5.4448,
+      "mean_token_accuracy": 0.16361159086227417,
+      "num_tokens": 5408939.0,
+      "step": 2970
+    },
+    {
+      "entropy": 5.629118537902832,
+      "epoch": 2.464788732394366,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004655469399714978,
+      "loss": 5.4722,
+      "mean_token_accuracy": 0.1575179159641266,
+      "num_tokens": 5418934.0,
+      "step": 2975
+    },
+    {
+      "entropy": 5.572103595733642,
+      "epoch": 2.468931234465617,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004653768105590799,
+      "loss": 5.4955,
+      "mean_token_accuracy": 0.16008511185646057,
+      "num_tokens": 5427894.0,
+      "step": 2980
+    },
+    {
+      "entropy": 5.683330011367798,
+      "epoch": 2.4730737365368682,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046520629713583115,
+      "loss": 5.5003,
+      "mean_token_accuracy": 0.1613202139735222,
+      "num_tokens": 5436830.0,
+      "step": 2985
+    },
+    {
+      "entropy": 5.597742080688477,
+      "epoch": 2.4772162386081193,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046503540004569555,
+      "loss": 5.4814,
+      "mean_token_accuracy": 0.16423845291137695,
+      "num_tokens": 5445504.0,
+      "step": 2990
+    },
+    {
+      "entropy": 5.679887342453003,
+      "epoch": 2.4813587406793705,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046486411963339125,
+      "loss": 5.5405,
+      "mean_token_accuracy": 0.15501321628689765,
+      "num_tokens": 5455378.0,
+      "step": 2995
+    },
+    {
+      "entropy": 5.712473011016845,
+      "epoch": 2.4855012427506216,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046469245624440955,
+      "loss": 5.6107,
+      "mean_token_accuracy": 0.1589423656463623,
+      "num_tokens": 5465334.0,
+      "step": 3000
+    },
+    {
+      "epoch": 2.4855012427506216,
+      "eval_entropy": 5.590163738234465,
+      "eval_loss": 5.965892314910889,
+      "eval_mean_token_accuracy": 0.14734836894947329,
+      "eval_num_tokens": 5465334.0,
+      "eval_runtime": 2.7526,
+      "eval_samples_per_second": 1361.234,
+      "eval_steps_per_second": 170.381,
+      "step": 3000
+    },
+    {
+      "entropy": 5.751126146316528,
+      "epoch": 2.4896437448218722,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046452041022501423,
+      "loss": 5.5858,
+      "mean_token_accuracy": 0.15555662512779236,
+      "num_tokens": 5475701.0,
+      "step": 3005
+    },
+    {
+      "entropy": 5.699931526184082,
+      "epoch": 2.4937862468931233,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004643479819222411,
+      "loss": 5.4828,
+      "mean_token_accuracy": 0.16229774355888366,
+      "num_tokens": 5485244.0,
+      "step": 3010
+    },
+    {
+      "entropy": 5.596950387954712,
+      "epoch": 2.4979287489643744,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046417517168389664,
+      "loss": 5.4434,
+      "mean_token_accuracy": 0.1682340309023857,
+      "num_tokens": 5493587.0,
+      "step": 3015
+    },
+    {
+      "entropy": 5.6203169345855715,
+      "epoch": 2.5020712510356256,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004640019798585581,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.15738681554794312,
+      "num_tokens": 5503117.0,
+      "step": 3020
+    },
+    {
+      "entropy": 5.762682390213013,
+      "epoch": 2.5062137531068767,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046382840679557233,
+      "loss": 5.5352,
+      "mean_token_accuracy": 0.16024575680494307,
+      "num_tokens": 5512742.0,
+      "step": 3025
+    },
+    {
+      "entropy": 5.647499704360962,
+      "epoch": 2.5103562551781273,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00046365445284505516,
+      "loss": 5.4968,
+      "mean_token_accuracy": 0.16166605204343795,
+      "num_tokens": 5521862.0,
+      "step": 3030
+    },
+    {
+      "entropy": 5.597900772094727,
+      "epoch": 2.5144987572493784,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.0004634801183578907,
+      "loss": 5.488,
+      "mean_token_accuracy": 0.1608501434326172,
+      "num_tokens": 5531244.0,
+      "step": 3035
+    },
+    {
+      "entropy": 5.655751419067383,
+      "epoch": 2.5186412593206295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046330540368573063,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15176820158958435,
+      "num_tokens": 5540786.0,
+      "step": 3040
+    },
+    {
+      "entropy": 5.7291028022766115,
+      "epoch": 2.5227837613918807,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046313030918099365,
+      "loss": 5.5224,
+      "mean_token_accuracy": 0.1602902241051197,
+      "num_tokens": 5549961.0,
+      "step": 3045
+    },
+    {
+      "entropy": 5.620108366012573,
+      "epoch": 2.5269262634631318,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00046295483519686437,
+      "loss": 5.4591,
+      "mean_token_accuracy": 0.16417455673217773,
+      "num_tokens": 5558941.0,
+      "step": 3050
+    },
+    {
+      "entropy": 5.644694232940674,
+      "epoch": 2.531068765534383,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046277898208729306,
+      "loss": 5.4673,
+      "mean_token_accuracy": 0.16716189235448836,
+      "num_tokens": 5567630.0,
+      "step": 3055
+    },
+    {
+      "entropy": 5.586954879760742,
+      "epoch": 2.535211267605634,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004626027502069947,
+      "loss": 5.4301,
+      "mean_token_accuracy": 0.16521373838186265,
+      "num_tokens": 5576430.0,
+      "step": 3060
+    },
+    {
+      "entropy": 5.650178289413452,
+      "epoch": 2.539353769676885,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046242613991144814,
+      "loss": 5.5444,
+      "mean_token_accuracy": 0.1609214127063751,
+      "num_tokens": 5584785.0,
+      "step": 3065
+    },
+    {
+      "entropy": 5.585511493682861,
+      "epoch": 2.5434962717481358,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046224915155689586,
+      "loss": 5.478,
+      "mean_token_accuracy": 0.16044741719961167,
+      "num_tokens": 5594583.0,
+      "step": 3070
+    },
+    {
+      "entropy": 5.638197040557861,
+      "epoch": 2.547638773819387,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046207178550034244,
+      "loss": 5.4306,
+      "mean_token_accuracy": 0.1608849883079529,
+      "num_tokens": 5603498.0,
+      "step": 3075
+    },
+    {
+      "entropy": 5.7161966323852536,
+      "epoch": 2.551781275890638,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004618940420995547,
+      "loss": 5.5685,
+      "mean_token_accuracy": 0.15440558269619942,
+      "num_tokens": 5613101.0,
+      "step": 3080
+    },
+    {
+      "entropy": 5.665849494934082,
+      "epoch": 2.555923777961889,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004617159217130606,
+      "loss": 5.5409,
+      "mean_token_accuracy": 0.1569191187620163,
+      "num_tokens": 5621821.0,
+      "step": 3085
+    },
+    {
+      "entropy": 5.711861181259155,
+      "epoch": 2.5600662800331397,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004615374247001483,
+      "loss": 5.5738,
+      "mean_token_accuracy": 0.15701586306095122,
+      "num_tokens": 5631006.0,
+      "step": 3090
+    },
+    {
+      "entropy": 5.674423551559448,
+      "epoch": 2.564208782104391,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004613585514208659,
+      "loss": 5.5295,
+      "mean_token_accuracy": 0.15232180580496787,
+      "num_tokens": 5640159.0,
+      "step": 3095
+    },
+    {
+      "entropy": 5.592060613632202,
+      "epoch": 2.568351284175642,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046117930223602016,
+      "loss": 5.4003,
+      "mean_token_accuracy": 0.1694741129875183,
+      "num_tokens": 5648369.0,
+      "step": 3100
+    },
+    {
+      "entropy": 5.5982965469360355,
+      "epoch": 2.572493786246893,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004609996775071765,
+      "loss": 5.459,
+      "mean_token_accuracy": 0.1591326355934143,
+      "num_tokens": 5657669.0,
+      "step": 3105
+    },
+    {
+      "entropy": 5.56780686378479,
+      "epoch": 2.576636288318144,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004608196775966575,
+      "loss": 5.5319,
+      "mean_token_accuracy": 0.1610974356532097,
+      "num_tokens": 5666601.0,
+      "step": 3110
+    },
+    {
+      "entropy": 5.639773225784301,
+      "epoch": 2.5807787903893953,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046063930286754267,
+      "loss": 5.4465,
+      "mean_token_accuracy": 0.16618527621030807,
+      "num_tokens": 5675243.0,
+      "step": 3115
+    },
+    {
+      "entropy": 5.56855001449585,
+      "epoch": 2.5849212924606464,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00046045855368366756,
+      "loss": 5.466,
+      "mean_token_accuracy": 0.1630399063229561,
+      "num_tokens": 5683646.0,
+      "step": 3120
+    },
+    {
+      "entropy": 5.682586193084717,
+      "epoch": 2.5890637945318975,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.000460277430409623,
+      "loss": 5.5129,
+      "mean_token_accuracy": 0.17162407487630843,
+      "num_tokens": 5693069.0,
+      "step": 3125
+    },
+    {
+      "entropy": 5.587219524383545,
+      "epoch": 2.593206296603148,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046009593341075444,
+      "loss": 5.3754,
+      "mean_token_accuracy": 0.16499391198158264,
+      "num_tokens": 5701527.0,
+      "step": 3130
+    },
+    {
+      "entropy": 5.561956834793091,
+      "epoch": 2.5973487986743993,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004599140630531612,
+      "loss": 5.5403,
+      "mean_token_accuracy": 0.15682477951049806,
+      "num_tokens": 5710379.0,
+      "step": 3135
+    },
+    {
+      "entropy": 5.69692587852478,
+      "epoch": 2.6014913007456504,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004597318197036956,
+      "loss": 5.4524,
+      "mean_token_accuracy": 0.1643553927540779,
+      "num_tokens": 5719217.0,
+      "step": 3140
+    },
+    {
+      "entropy": 5.629226970672607,
+      "epoch": 2.6056338028169015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004595492037299624,
+      "loss": 5.5535,
+      "mean_token_accuracy": 0.16214104294776915,
+      "num_tokens": 5728331.0,
+      "step": 3145
+    },
+    {
+      "entropy": 5.608061027526856,
+      "epoch": 2.6097763048881526,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045936621550031806,
+      "loss": 5.5107,
+      "mean_token_accuracy": 0.16073764860630035,
+      "num_tokens": 5737696.0,
+      "step": 3150
+    },
+    {
+      "entropy": 5.731885099411011,
+      "epoch": 2.6139188069594033,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045918285538386973,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.16164542436599733,
+      "num_tokens": 5746191.0,
+      "step": 3155
+    },
+    {
+      "entropy": 5.703127813339234,
+      "epoch": 2.6180613090306544,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00045899912375047485,
+      "loss": 5.5619,
+      "mean_token_accuracy": 0.1629435494542122,
+      "num_tokens": 5754824.0,
+      "step": 3160
+    },
+    {
+      "entropy": 5.638229656219482,
+      "epoch": 2.6222038111019055,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045881502097074023,
+      "loss": 5.537,
+      "mean_token_accuracy": 0.1518124133348465,
+      "num_tokens": 5764863.0,
+      "step": 3165
+    },
+    {
+      "entropy": 5.614318180084228,
+      "epoch": 2.6263463131731566,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004586305474160212,
+      "loss": 5.5459,
+      "mean_token_accuracy": 0.15642993301153182,
+      "num_tokens": 5774273.0,
+      "step": 3170
+    },
+    {
+      "entropy": 5.666326427459717,
+      "epoch": 2.6304888152444077,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045844570345842116,
+      "loss": 5.5044,
+      "mean_token_accuracy": 0.16042826995253562,
+      "num_tokens": 5784085.0,
+      "step": 3175
+    },
+    {
+      "entropy": 5.659371709823608,
+      "epoch": 2.634631317315659,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004582604894707906,
+      "loss": 5.5336,
+      "mean_token_accuracy": 0.16884370446205138,
+      "num_tokens": 5793921.0,
+      "step": 3180
+    },
+    {
+      "entropy": 5.664378356933594,
+      "epoch": 2.63877381938691,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00045807490582672634,
+      "loss": 5.4972,
+      "mean_token_accuracy": 0.15294444859027861,
+      "num_tokens": 5803902.0,
+      "step": 3185
+    },
+    {
+      "entropy": 5.542481708526611,
+      "epoch": 2.6429163214581606,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00045788895290057083,
+      "loss": 5.4129,
+      "mean_token_accuracy": 0.16788192689418793,
+      "num_tokens": 5812089.0,
+      "step": 3190
+    },
+    {
+      "entropy": 5.6802209377288815,
+      "epoch": 2.6470588235294117,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00045770263106741137,
+      "loss": 5.5784,
+      "mean_token_accuracy": 0.1578851893544197,
+      "num_tokens": 5821072.0,
+      "step": 3195
+    },
+    {
+      "entropy": 5.628516340255738,
+      "epoch": 2.651201325600663,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004575159407030797,
+      "loss": 5.4029,
+      "mean_token_accuracy": 0.16388181746006011,
+      "num_tokens": 5829725.0,
+      "step": 3200
+    },
+    {
+      "entropy": 5.500157403945923,
+      "epoch": 2.655343827671914,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004573288821841505,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16496249735355378,
+      "num_tokens": 5838153.0,
+      "step": 3205
+    },
+    {
+      "entropy": 5.616616106033325,
+      "epoch": 2.659486329743165,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004571414558879413,
+      "loss": 5.4409,
+      "mean_token_accuracy": 0.15448423773050307,
+      "num_tokens": 5847270.0,
+      "step": 3210
+    },
+    {
+      "entropy": 5.6490891456604,
+      "epoch": 2.6636288318144157,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004569536621925114,
+      "loss": 5.5472,
+      "mean_token_accuracy": 0.15474478006362916,
+      "num_tokens": 5855954.0,
+      "step": 3215
+    },
+    {
+      "entropy": 5.634416961669922,
+      "epoch": 2.667771333885667,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004567655014766612,
+      "loss": 5.4529,
+      "mean_token_accuracy": 0.16163208782672883,
+      "num_tokens": 5864435.0,
+      "step": 3220
+    },
+    {
+      "entropy": 5.624909925460815,
+      "epoch": 2.671913835956918,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004565769741199314,
+      "loss": 5.5135,
+      "mean_token_accuracy": 0.1572384186089039,
+      "num_tokens": 5873964.0,
+      "step": 3225
+    },
+    {
+      "entropy": 5.727962255477905,
+      "epoch": 2.676056338028169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045638808050260237,
+      "loss": 5.4648,
+      "mean_token_accuracy": 0.16628578454256057,
+      "num_tokens": 5882738.0,
+      "step": 3230
+    },
+    {
+      "entropy": 5.587652635574341,
+      "epoch": 2.68019884009942,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00045619882100569317,
+      "loss": 5.5925,
+      "mean_token_accuracy": 0.15854242593050002,
+      "num_tokens": 5891749.0,
+      "step": 3235
+    },
+    {
+      "entropy": 5.627515649795532,
+      "epoch": 2.684341342170671,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004560091960109608,
+      "loss": 5.5372,
+      "mean_token_accuracy": 0.15811603218317033,
+      "num_tokens": 5900551.0,
+      "step": 3240
+    },
+    {
+      "entropy": 5.661735343933105,
+      "epoch": 2.6884838442419223,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004558192059008996,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.1517203629016876,
+      "num_tokens": 5909254.0,
+      "step": 3245
+    },
+    {
+      "entropy": 5.599635648727417,
+      "epoch": 2.692626346313173,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004556288510587406,
+      "loss": 5.4987,
+      "mean_token_accuracy": 0.15817683488130568,
+      "num_tokens": 5918357.0,
+      "step": 3250
+    },
+    {
+      "entropy": 5.662895679473877,
+      "epoch": 2.696768848384424,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00045543813186845004,
+      "loss": 5.5021,
+      "mean_token_accuracy": 0.15579704195261002,
+      "num_tokens": 5927742.0,
+      "step": 3255
+    },
+    {
+      "entropy": 5.627440690994263,
+      "epoch": 2.700911350455675,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004552470487147294,
+      "loss": 5.5823,
+      "mean_token_accuracy": 0.1556493915617466,
+      "num_tokens": 5937025.0,
+      "step": 3260
+    },
+    {
+      "entropy": 5.70678014755249,
+      "epoch": 2.7050538525269263,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045505560198301443,
+      "loss": 5.5615,
+      "mean_token_accuracy": 0.15135139375925064,
+      "num_tokens": 5946176.0,
+      "step": 3265
+    },
+    {
+      "entropy": 5.659924745559692,
+      "epoch": 2.7091963545981774,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045486379205947396,
+      "loss": 5.5233,
+      "mean_token_accuracy": 0.1584411159157753,
+      "num_tokens": 5955550.0,
+      "step": 3270
+    },
+    {
+      "entropy": 5.594695281982422,
+      "epoch": 2.713338856669428,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004546716193310098,
+      "loss": 5.4541,
+      "mean_token_accuracy": 0.1651945412158966,
+      "num_tokens": 5964467.0,
+      "step": 3275
+    },
+    {
+      "entropy": 5.605531787872314,
+      "epoch": 2.717481358740679,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000454479084185255,
+      "loss": 5.4855,
+      "mean_token_accuracy": 0.1514287754893303,
+      "num_tokens": 5973906.0,
+      "step": 3280
+    },
+    {
+      "entropy": 5.696796035766601,
+      "epoch": 2.7216238608119303,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004542861870105743,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.15694239139556884,
+      "num_tokens": 5983701.0,
+      "step": 3285
+    },
+    {
+      "entropy": 5.623150444030761,
+      "epoch": 2.7257663628831814,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045409292819606224,
+      "loss": 5.4971,
+      "mean_token_accuracy": 0.16068210303783417,
+      "num_tokens": 5993367.0,
+      "step": 3290
+    },
+    {
+      "entropy": 5.646857404708863,
+      "epoch": 2.7299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045389930813154297,
+      "loss": 5.4519,
+      "mean_token_accuracy": 0.16334805637598038,
+      "num_tokens": 6003752.0,
+      "step": 3295
+    },
+    {
+      "entropy": 5.675233459472656,
+      "epoch": 2.7340513670256836,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004537053272075693,
+      "loss": 5.5263,
+      "mean_token_accuracy": 0.1621565416455269,
+      "num_tokens": 6012486.0,
+      "step": 3300
+    },
+    {
+      "entropy": 5.5136041164398195,
+      "epoch": 2.7381938690969347,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045351098581542204,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.163838130235672,
+      "num_tokens": 6020742.0,
+      "step": 3305
+    },
+    {
+      "entropy": 5.646917295455933,
+      "epoch": 2.742336371168186,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004533162843471089,
+      "loss": 5.5009,
+      "mean_token_accuracy": 0.15474170595407485,
+      "num_tokens": 6030248.0,
+      "step": 3310
+    },
+    {
+      "entropy": 5.632185411453247,
+      "epoch": 2.7464788732394365,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004531212231953641,
+      "loss": 5.5436,
+      "mean_token_accuracy": 0.15157791674137117,
+      "num_tokens": 6039293.0,
+      "step": 3315
+    },
+    {
+      "entropy": 5.587828540802002,
+      "epoch": 2.7506213753106876,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004529258027536473,
+      "loss": 5.4134,
+      "mean_token_accuracy": 0.16378402560949326,
+      "num_tokens": 6048081.0,
+      "step": 3320
+    },
+    {
+      "entropy": 5.673684549331665,
+      "epoch": 2.7547638773819387,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004527300234161428,
+      "loss": 5.5753,
+      "mean_token_accuracy": 0.15969255268573762,
+      "num_tokens": 6057549.0,
+      "step": 3325
+    },
+    {
+      "entropy": 5.646554040908813,
+      "epoch": 2.75890637945319,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004525338855777591,
+      "loss": 5.5589,
+      "mean_token_accuracy": 0.15469738617539405,
+      "num_tokens": 6067372.0,
+      "step": 3330
+    },
+    {
+      "entropy": 5.595069122314453,
+      "epoch": 2.7630488815244405,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045233738963412746,
+      "loss": 5.4181,
+      "mean_token_accuracy": 0.1717814713716507,
+      "num_tokens": 6075532.0,
+      "step": 3335
+    },
+    {
+      "entropy": 5.5924467086792,
+      "epoch": 2.7671913835956916,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045214053598160173,
+      "loss": 5.4439,
+      "mean_token_accuracy": 0.16404369622468948,
+      "num_tokens": 6084389.0,
+      "step": 3340
+    },
+    {
+      "entropy": 5.598109579086303,
+      "epoch": 2.7713338856669427,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045194332501725725,
+      "loss": 5.4706,
+      "mean_token_accuracy": 0.16428767740726472,
+      "num_tokens": 6093536.0,
+      "step": 3345
+    },
+    {
+      "entropy": 5.637304496765137,
+      "epoch": 2.775476387738194,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00045174575713889014,
+      "loss": 5.5167,
+      "mean_token_accuracy": 0.16573925465345382,
+      "num_tokens": 6102677.0,
+      "step": 3350
+    },
+    {
+      "entropy": 5.677533674240112,
+      "epoch": 2.779618889809445,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004515478327450164,
+      "loss": 5.5926,
+      "mean_token_accuracy": 0.156404609978199,
+      "num_tokens": 6112430.0,
+      "step": 3355
+    },
+    {
+      "entropy": 5.643227863311767,
+      "epoch": 2.783761391880696,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00045134955223487093,
+      "loss": 5.4889,
+      "mean_token_accuracy": 0.16630716919898986,
+      "num_tokens": 6121408.0,
+      "step": 3360
+    },
+    {
+      "entropy": 5.57972674369812,
+      "epoch": 2.787903893951947,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00045115091600840757,
+      "loss": 5.5188,
+      "mean_token_accuracy": 0.15800442099571227,
+      "num_tokens": 6131339.0,
+      "step": 3365
+    },
+    {
+      "entropy": 5.624274778366089,
+      "epoch": 2.7920463960231983,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00045095192446629697,
+      "loss": 5.4816,
+      "mean_token_accuracy": 0.16174803227186202,
+      "num_tokens": 6140590.0,
+      "step": 3370
+    },
+    {
+      "entropy": 5.704814815521241,
+      "epoch": 2.796188898094449,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000450752578009927,
+      "loss": 5.5621,
+      "mean_token_accuracy": 0.1653067871928215,
+      "num_tokens": 6149958.0,
+      "step": 3375
+    },
+    {
+      "entropy": 5.58657054901123,
+      "epoch": 2.8003314001657,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045055287704140115,
+      "loss": 5.4346,
+      "mean_token_accuracy": 0.15949429720640182,
+      "num_tokens": 6159411.0,
+      "step": 3380
+    },
+    {
+      "entropy": 5.595387983322143,
+      "epoch": 2.804473902236951,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004503528219635381,
+      "loss": 5.5138,
+      "mean_token_accuracy": 0.1545591250061989,
+      "num_tokens": 6169264.0,
+      "step": 3385
+    },
+    {
+      "entropy": 5.617677021026611,
+      "epoch": 2.8086164043082023,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004501524131798709,
+      "loss": 5.4826,
+      "mean_token_accuracy": 0.16332829892635345,
+      "num_tokens": 6178374.0,
+      "step": 3390
+    },
+    {
+      "entropy": 5.7183191776275635,
+      "epoch": 2.812758906379453,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000449951651094646,
+      "loss": 5.4697,
+      "mean_token_accuracy": 0.15537519603967667,
+      "num_tokens": 6186918.0,
+      "step": 3395
+    },
+    {
+      "entropy": 5.566522169113159,
+      "epoch": 2.816901408450704,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044975053611282217,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.1613329365849495,
+      "num_tokens": 6196400.0,
+      "step": 3400
+    },
+    {
+      "entropy": 5.514105558395386,
+      "epoch": 2.821043910521955,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004495490686400706,
+      "loss": 5.3941,
+      "mean_token_accuracy": 0.1649619847536087,
+      "num_tokens": 6204849.0,
+      "step": 3405
+    },
+    {
+      "entropy": 5.615210485458374,
+      "epoch": 2.8251864125932062,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00044934724908277313,
+      "loss": 5.4834,
+      "mean_token_accuracy": 0.16362717300653457,
+      "num_tokens": 6214121.0,
+      "step": 3410
+    },
+    {
+      "entropy": 5.654720067977905,
+      "epoch": 2.8293289146644574,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044914507784802184,
+      "loss": 5.4835,
+      "mean_token_accuracy": 0.16509974151849746,
+      "num_tokens": 6223163.0,
+      "step": 3415
+    },
+    {
+      "entropy": 5.641624307632446,
+      "epoch": 2.8334714167357085,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004489425553436182,
+      "loss": 5.5084,
+      "mean_token_accuracy": 0.15882937759160995,
+      "num_tokens": 6231581.0,
+      "step": 3420
+    },
+    {
+      "entropy": 5.659383153915405,
+      "epoch": 2.8376139188069596,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00044873968197807213,
+      "loss": 5.5838,
+      "mean_token_accuracy": 0.1599879801273346,
+      "num_tokens": 6240015.0,
+      "step": 3425
+    },
+    {
+      "entropy": 5.666435050964355,
+      "epoch": 2.8417564208782107,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044853645816060156,
+      "loss": 5.5979,
+      "mean_token_accuracy": 0.1532062940299511,
+      "num_tokens": 6249083.0,
+      "step": 3430
+    },
+    {
+      "entropy": 5.6627098560333256,
+      "epoch": 2.8458989229494613,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00044833288430113104,
+      "loss": 5.5496,
+      "mean_token_accuracy": 0.1654196172952652,
+      "num_tokens": 6258798.0,
+      "step": 3435
+    },
+    {
+      "entropy": 5.609176588058472,
+      "epoch": 2.8500414250207124,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00044812896081029136,
+      "loss": 5.4023,
+      "mean_token_accuracy": 0.16617698073387147,
+      "num_tokens": 6267819.0,
+      "step": 3440
+    },
+    {
+      "entropy": 5.626215600967408,
+      "epoch": 2.8541839270919636,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004479246880994183,
+      "loss": 5.4804,
+      "mean_token_accuracy": 0.15876610353589057,
+      "num_tokens": 6276915.0,
+      "step": 3445
+    },
+    {
+      "entropy": 5.627827167510986,
+      "epoch": 2.8583264291632147,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004477200665805525,
+      "loss": 5.5216,
+      "mean_token_accuracy": 0.15861138105392455,
+      "num_tokens": 6285880.0,
+      "step": 3450
+    },
+    {
+      "entropy": 5.6323963642120365,
+      "epoch": 2.8624689312344658,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00044751509666643777,
+      "loss": 5.6351,
+      "mean_token_accuracy": 0.14970673844218255,
+      "num_tokens": 6295408.0,
+      "step": 3455
+    },
+    {
+      "entropy": 5.6166990280151365,
+      "epoch": 2.8666114333057164,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044730977877052084,
+      "loss": 5.3753,
+      "mean_token_accuracy": 0.16562075018882752,
+      "num_tokens": 6304110.0,
+      "step": 3460
+    },
+    {
+      "entropy": 5.669659185409546,
+      "epoch": 2.8707539353769675,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00044710411330695045,
+      "loss": 5.5254,
+      "mean_token_accuracy": 0.15842530727386475,
+      "num_tokens": 6312577.0,
+      "step": 3465
+    },
+    {
+      "entropy": 5.738371801376343,
+      "epoch": 2.8748964374482187,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00044689810069057615,
+      "loss": 5.606,
+      "mean_token_accuracy": 0.15023296922445298,
+      "num_tokens": 6321766.0,
+      "step": 3470
+    },
+    {
+      "entropy": 5.642851161956787,
+      "epoch": 2.8790389395194698,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004466917413369479,
+      "loss": 5.5731,
+      "mean_token_accuracy": 0.151870658993721,
+      "num_tokens": 6330327.0,
+      "step": 3475
+    },
+    {
+      "entropy": 5.577242517471314,
+      "epoch": 2.883181441590721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004464850356623152,
+      "loss": 5.4926,
+      "mean_token_accuracy": 0.16011006087064744,
+      "num_tokens": 6339596.0,
+      "step": 3480
+    },
+    {
+      "entropy": 5.613158226013184,
+      "epoch": 2.887323943661972,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00044627798408362597,
+      "loss": 5.3986,
+      "mean_token_accuracy": 0.1670537531375885,
+      "num_tokens": 6348080.0,
+      "step": 3485
+    },
+    {
+      "entropy": 5.613135099411011,
+      "epoch": 2.891466445733223,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004460705870185258,
+      "loss": 5.5277,
+      "mean_token_accuracy": 0.15435466170310974,
+      "num_tokens": 6357725.0,
+      "step": 3490
+    },
+    {
+      "entropy": 5.627930736541748,
+      "epoch": 2.8956089478044738,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004458628448853572,
+      "loss": 5.4831,
+      "mean_token_accuracy": 0.16073092967271804,
+      "num_tokens": 6366821.0,
+      "step": 3495
+    },
+    {
+      "entropy": 5.729347085952758,
+      "epoch": 2.899751449875725,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004456547581031589,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.15560299083590506,
+      "num_tokens": 6375641.0,
+      "step": 3500
+    },
+    {
+      "epoch": 2.899751449875725,
+      "eval_entropy": 5.414937326394673,
+      "eval_loss": 5.899942874908447,
+      "eval_mean_token_accuracy": 0.15183768343569629,
+      "eval_num_tokens": 6375641.0,
+      "eval_runtime": 2.9583,
+      "eval_samples_per_second": 1266.605,
+      "eval_steps_per_second": 158.537,
+      "step": 3500
+    },
+    {
+      "entropy": 5.548971128463745,
+      "epoch": 2.903893951946976,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004454463270916646,
+      "loss": 5.404,
+      "mean_token_accuracy": 0.1680065542459488,
+      "num_tokens": 6384596.0,
+      "step": 3505
+    },
+    {
+      "entropy": 5.719941425323486,
+      "epoch": 2.908036454018227,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004452375522713023,
+      "loss": 5.7474,
+      "mean_token_accuracy": 0.14030246064066887,
+      "num_tokens": 6395048.0,
+      "step": 3510
+    },
+    {
+      "entropy": 5.643452119827271,
+      "epoch": 2.912178956089478,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004450284340631938,
+      "loss": 5.5762,
+      "mean_token_accuracy": 0.15520212948322296,
+      "num_tokens": 6404828.0,
+      "step": 3515
+    },
+    {
+      "entropy": 5.627139854431152,
+      "epoch": 2.916321458160729,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044481897288915334,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.16042221039533616,
+      "num_tokens": 6414670.0,
+      "step": 3520
+    },
+    {
+      "entropy": 5.474701166152954,
+      "epoch": 2.92046396023198,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044460916917168697,
+      "loss": 5.3896,
+      "mean_token_accuracy": 0.16453512459993364,
+      "num_tokens": 6423446.0,
+      "step": 3525
+    },
+    {
+      "entropy": 5.5396312236785885,
+      "epoch": 2.924606462303231,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004443990233339918,
+      "loss": 5.4655,
+      "mean_token_accuracy": 0.1552535504102707,
+      "num_tokens": 6433412.0,
+      "step": 3530
+    },
+    {
+      "entropy": 5.652051544189453,
+      "epoch": 2.928748964374482,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004441885357999548,
+      "loss": 5.444,
+      "mean_token_accuracy": 0.1643453508615494,
+      "num_tokens": 6443520.0,
+      "step": 3535
+    },
+    {
+      "entropy": 5.674185514450073,
+      "epoch": 2.9328914664457333,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004439777069941524,
+      "loss": 5.5527,
+      "mean_token_accuracy": 0.15431721061468123,
+      "num_tokens": 6452933.0,
+      "step": 3540
+    },
+    {
+      "entropy": 5.550513553619385,
+      "epoch": 2.9370339685169844,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044376653734184935,
+      "loss": 5.3908,
+      "mean_token_accuracy": 0.16788479536771775,
+      "num_tokens": 6462113.0,
+      "step": 3545
+    },
+    {
+      "entropy": 5.468146800994873,
+      "epoch": 2.9411764705882355,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004435550272689979,
+      "loss": 5.4246,
+      "mean_token_accuracy": 0.16583772748708725,
+      "num_tokens": 6471411.0,
+      "step": 3550
+    },
+    {
+      "entropy": 5.662385082244873,
+      "epoch": 2.945318972659486,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00044334317720223706,
+      "loss": 5.532,
+      "mean_token_accuracy": 0.1599032275378704,
+      "num_tokens": 6480682.0,
+      "step": 3555
+    },
+    {
+      "entropy": 5.678339672088623,
+      "epoch": 2.9494614747307373,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00044313098756889154,
+      "loss": 5.5754,
+      "mean_token_accuracy": 0.15587076246738435,
+      "num_tokens": 6490614.0,
+      "step": 3560
+    },
+    {
+      "entropy": 5.585533094406128,
+      "epoch": 2.9536039768019884,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004429184587969708,
+      "loss": 5.4273,
+      "mean_token_accuracy": 0.16405707746744155,
+      "num_tokens": 6499079.0,
+      "step": 3565
+    },
+    {
+      "entropy": 5.668995666503906,
+      "epoch": 2.9577464788732395,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004427055913151689,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.14727827310562133,
+      "num_tokens": 6508556.0,
+      "step": 3570
+    },
+    {
+      "entropy": 5.70610499382019,
+      "epoch": 2.9618889809444906,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004424923855528626,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.15901169627904893,
+      "num_tokens": 6517934.0,
+      "step": 3575
+    },
+    {
+      "entropy": 5.614701509475708,
+      "epoch": 2.9660314830157413,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004422788419401114,
+      "loss": 5.4321,
+      "mean_token_accuracy": 0.1702651560306549,
+      "num_tokens": 6526995.0,
+      "step": 3580
+    },
+    {
+      "entropy": 5.572284936904907,
+      "epoch": 2.9701739850869924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00044206496090765595,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1573972523212433,
+      "num_tokens": 6535264.0,
+      "step": 3585
+    },
+    {
+      "entropy": 5.610080623626709,
+      "epoch": 2.9743164871582435,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00044185074288691776,
+      "loss": 5.3994,
+      "mean_token_accuracy": 0.1746336281299591,
+      "num_tokens": 6544498.0,
+      "step": 3590
+    },
+    {
+      "entropy": 5.582769393920898,
+      "epoch": 2.9784589892294946,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044163618830999794,
+      "loss": 5.5098,
+      "mean_token_accuracy": 0.16030704230070114,
+      "num_tokens": 6554761.0,
+      "step": 3595
+    },
+    {
+      "entropy": 5.603819417953491,
+      "epoch": 2.9826014913007457,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044142129760967643,
+      "loss": 5.5614,
+      "mean_token_accuracy": 0.15714355707168579,
+      "num_tokens": 6564039.0,
+      "step": 3600
+    },
+    {
+      "entropy": 5.679829835891724,
+      "epoch": 2.986743993371997,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004412060712194115,
+      "loss": 5.5068,
+      "mean_token_accuracy": 0.15993095487356185,
+      "num_tokens": 6572559.0,
+      "step": 3605
+    },
+    {
+      "entropy": 5.589264869689941,
+      "epoch": 2.990886495443248,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004409905095733381,
+      "loss": 5.4931,
+      "mean_token_accuracy": 0.1612076446413994,
+      "num_tokens": 6581621.0,
+      "step": 3610
+    },
+    {
+      "entropy": 5.550649166107178,
+      "epoch": 2.995028997514499,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00044077461310626764,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.15403861105442046,
+      "num_tokens": 6590353.0,
+      "step": 3615
+    },
+    {
+      "entropy": 5.64892258644104,
+      "epoch": 2.9991714995857497,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000440558382253687,
+      "loss": 5.4575,
+      "mean_token_accuracy": 0.16497674435377122,
+      "num_tokens": 6598822.0,
+      "step": 3620
+    },
+    {
+      "entropy": 5.5967165470123295,
+      "epoch": 3.003314001657001,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004403418174517573,
+      "loss": 5.2529,
+      "mean_token_accuracy": 0.16683556884527206,
+      "num_tokens": 6606728.0,
+      "step": 3625
+    },
+    {
+      "entropy": 5.599476623535156,
+      "epoch": 3.007456503728252,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044012491913731353,
+      "loss": 5.1756,
+      "mean_token_accuracy": 0.1743481546640396,
+      "num_tokens": 6616226.0,
+      "step": 3630
+    },
+    {
+      "entropy": 5.5095573425292965,
+      "epoch": 3.011599005799503,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004399076877478632,
+      "loss": 5.0266,
+      "mean_token_accuracy": 0.1868550017476082,
+      "num_tokens": 6624801.0,
+      "step": 3635
+    },
+    {
+      "entropy": 5.60879430770874,
+      "epoch": 3.015741507870754,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004396901237215858,
+      "loss": 5.2209,
+      "mean_token_accuracy": 0.16688485741615294,
+      "num_tokens": 6633043.0,
+      "step": 3640
+    },
+    {
+      "entropy": 5.538025426864624,
+      "epoch": 3.019884009942005,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043947222749733173,
+      "loss": 5.1692,
+      "mean_token_accuracy": 0.17499702274799347,
+      "num_tokens": 6641197.0,
+      "step": 3645
+    },
+    {
+      "entropy": 5.586767101287842,
+      "epoch": 3.024026512013256,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043925399951462153,
+      "loss": 5.2064,
+      "mean_token_accuracy": 0.1801098555326462,
+      "num_tokens": 6650411.0,
+      "step": 3650
+    },
+    {
+      "entropy": 5.4191618919372555,
+      "epoch": 3.028169014084507,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004390354402136449,
+      "loss": 5.0903,
+      "mean_token_accuracy": 0.17804521024227143,
+      "num_tokens": 6659405.0,
+      "step": 3655
+    },
+    {
+      "entropy": 5.583788824081421,
+      "epoch": 3.032311516155758,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0004388165500352597,
+      "loss": 5.1642,
+      "mean_token_accuracy": 0.17557908743619918,
+      "num_tokens": 6667701.0,
+      "step": 3660
+    },
+    {
+      "entropy": 5.614604902267456,
+      "epoch": 3.036454018227009,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004385973294209915,
+      "loss": 5.1881,
+      "mean_token_accuracy": 0.17808027267456056,
+      "num_tokens": 6676801.0,
+      "step": 3665
+    },
+    {
+      "entropy": 5.457578706741333,
+      "epoch": 3.0405965202982603,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004383777788130321,
+      "loss": 5.083,
+      "mean_token_accuracy": 0.17836775481700898,
+      "num_tokens": 6686005.0,
+      "step": 3670
+    },
+    {
+      "entropy": 5.479088068008423,
+      "epoch": 3.044739022369511,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004381578986542393,
+      "loss": 5.0937,
+      "mean_token_accuracy": 0.17960153371095658,
+      "num_tokens": 6694884.0,
+      "step": 3675
+    },
+    {
+      "entropy": 5.501745700836182,
+      "epoch": 3.048881524440762,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004379376893881352,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.17827630788087845,
+      "num_tokens": 6703476.0,
+      "step": 3680
+    },
+    {
+      "entropy": 5.616245269775391,
+      "epoch": 3.053024026512013,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004377171514589059,
+      "loss": 5.2531,
+      "mean_token_accuracy": 0.1736731931567192,
+      "num_tokens": 6712576.0,
+      "step": 3685
+    },
+    {
+      "entropy": 5.398316955566406,
+      "epoch": 3.0571665285832643,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004374962853114007,
+      "loss": 5.0545,
+      "mean_token_accuracy": 0.18062082678079605,
+      "num_tokens": 6721532.0,
+      "step": 3690
+    },
+    {
+      "entropy": 5.480774354934693,
+      "epoch": 3.0613090306545154,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004372750913911306,
+      "loss": 5.1028,
+      "mean_token_accuracy": 0.18300070911645888,
+      "num_tokens": 6730055.0,
+      "step": 3695
+    },
+    {
+      "entropy": 5.446919918060303,
+      "epoch": 3.0654515327257665,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004370535701442679,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.17969694286584853,
+      "num_tokens": 6739310.0,
+      "step": 3700
+    },
+    {
+      "entropy": 5.54828953742981,
+      "epoch": 3.069594034797017,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043683172201764537,
+      "loss": 5.2581,
+      "mean_token_accuracy": 0.16716694980859756,
+      "num_tokens": 6748976.0,
+      "step": 3705
+    },
+    {
+      "entropy": 5.539231872558593,
+      "epoch": 3.0737365368682683,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004366095474587547,
+      "loss": 5.1044,
+      "mean_token_accuracy": 0.17598106861114501,
+      "num_tokens": 6758043.0,
+      "step": 3710
+    },
+    {
+      "entropy": 5.500854778289795,
+      "epoch": 3.0778790389395194,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00043638704691574646,
+      "loss": 5.163,
+      "mean_token_accuracy": 0.1786232903599739,
+      "num_tokens": 6767554.0,
+      "step": 3715
+    },
+    {
+      "entropy": 5.560473966598511,
+      "epoch": 3.0820215410107705,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004361642208374283,
+      "loss": 5.1882,
+      "mean_token_accuracy": 0.1666739672422409,
+      "num_tokens": 6776161.0,
+      "step": 3720
+    },
+    {
+      "entropy": 5.476630401611328,
+      "epoch": 3.0861640430820216,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043594106967326495,
+      "loss": 5.1169,
+      "mean_token_accuracy": 0.17555084377527236,
+      "num_tokens": 6785371.0,
+      "step": 3725
+    },
+    {
+      "entropy": 5.494755983352661,
+      "epoch": 3.0903065451532727,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00043571759387337665,
+      "loss": 5.1456,
+      "mean_token_accuracy": 0.1808715656399727,
+      "num_tokens": 6795242.0,
+      "step": 3730
+    },
+    {
+      "entropy": 5.591760492324829,
+      "epoch": 3.0944490472245234,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004354937938885385,
+      "loss": 5.2235,
+      "mean_token_accuracy": 0.17338325083255768,
+      "num_tokens": 6805423.0,
+      "step": 3735
+    },
+    {
+      "entropy": 5.464981889724731,
+      "epoch": 3.0985915492957745,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004352696701701796,
+      "loss": 5.1469,
+      "mean_token_accuracy": 0.17880967408418655,
+      "num_tokens": 6814377.0,
+      "step": 3740
+    },
+    {
+      "entropy": 5.448660278320313,
+      "epoch": 3.1027340513670256,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004350452231703819,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.18132367432117463,
+      "num_tokens": 6824025.0,
+      "step": 3745
+    },
+    {
+      "entropy": 5.550149536132812,
+      "epoch": 3.1068765534382767,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043482045334187954,
+      "loss": 5.1273,
+      "mean_token_accuracy": 0.18649032860994338,
+      "num_tokens": 6833071.0,
+      "step": 3750
+    },
+    {
+      "entropy": 5.442513799667358,
+      "epoch": 3.111019055509528,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043459536113805785,
+      "loss": 5.1076,
+      "mean_token_accuracy": 0.17443138360977173,
+      "num_tokens": 6841983.0,
+      "step": 3755
+    },
+    {
+      "entropy": 5.447629022598266,
+      "epoch": 3.115161557580779,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00043436994701295237,
+      "loss": 5.1043,
+      "mean_token_accuracy": 0.17914267033338546,
+      "num_tokens": 6851436.0,
+      "step": 3760
+    },
+    {
+      "entropy": 5.461205101013183,
+      "epoch": 3.1193040596520296,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00043414421142124804,
+      "loss": 5.1836,
+      "mean_token_accuracy": 0.1672696813941002,
+      "num_tokens": 6861810.0,
+      "step": 3765
+    },
+    {
+      "entropy": 5.478553342819214,
+      "epoch": 3.1234465617232807,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00043391815481827814,
+      "loss": 5.0639,
+      "mean_token_accuracy": 0.18850475996732713,
+      "num_tokens": 6870418.0,
+      "step": 3770
+    },
+    {
+      "entropy": 5.41155161857605,
+      "epoch": 3.127589063794532,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004336917776600237,
+      "loss": 5.0683,
+      "mean_token_accuracy": 0.18221812546253205,
+      "num_tokens": 6879419.0,
+      "step": 3775
+    },
+    {
+      "entropy": 5.435874891281128,
+      "epoch": 3.131731565865783,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004334650804031122,
+      "loss": 5.1852,
+      "mean_token_accuracy": 0.17172302156686783,
+      "num_tokens": 6888768.0,
+      "step": 3780
+    },
+    {
+      "entropy": 5.507850646972656,
+      "epoch": 3.135874067937034,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004332380635048165,
+      "loss": 5.1296,
+      "mean_token_accuracy": 0.17900288552045823,
+      "num_tokens": 6897133.0,
+      "step": 3785
+    },
+    {
+      "entropy": 5.485491752624512,
+      "epoch": 3.140016570008285,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00043301072742305474,
+      "loss": 5.1773,
+      "mean_token_accuracy": 0.17168077528476716,
+      "num_tokens": 6904976.0,
+      "step": 3790
+    },
+    {
+      "entropy": 5.537312364578247,
+      "epoch": 3.1441590720795363,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0004327830726163886,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.17883574068546296,
+      "num_tokens": 6915138.0,
+      "step": 3795
+    },
+    {
+      "entropy": 5.548703718185425,
+      "epoch": 3.148301574150787,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0004325550995440226,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.1752033144235611,
+      "num_tokens": 6923962.0,
+      "step": 3800
+    },
+    {
+      "entropy": 5.386642169952393,
+      "epoch": 3.152444076222038,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043232680866580356,
+      "loss": 5.1478,
+      "mean_token_accuracy": 0.17952724993228913,
+      "num_tokens": 6932102.0,
+      "step": 3805
+    },
+    {
+      "entropy": 5.464086627960205,
+      "epoch": 3.156586578293289,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00043209820044221893,
+      "loss": 5.153,
+      "mean_token_accuracy": 0.1785269558429718,
+      "num_tokens": 6940354.0,
+      "step": 3810
+    },
+    {
+      "entropy": 5.4963922023773195,
+      "epoch": 3.1607290803645403,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00043186927533439654,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.1716633692383766,
+      "num_tokens": 6949779.0,
+      "step": 3815
+    },
+    {
+      "entropy": 5.536400413513183,
+      "epoch": 3.1648715824357914,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043164003380410335,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.17445194274187087,
+      "num_tokens": 6958760.0,
+      "step": 3820
+    },
+    {
+      "entropy": 5.486375331878662,
+      "epoch": 3.169014084507042,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004314104763137445,
+      "loss": 5.1037,
+      "mean_token_accuracy": 0.18134674280881882,
+      "num_tokens": 6967535.0,
+      "step": 3825
+    },
+    {
+      "entropy": 5.469356393814087,
+      "epoch": 3.173156586578293,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043118060332636264,
+      "loss": 5.2036,
+      "mean_token_accuracy": 0.17774708271026612,
+      "num_tokens": 6976211.0,
+      "step": 3830
+    },
+    {
+      "entropy": 5.576221227645874,
+      "epoch": 3.1772990886495442,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043095041530563665,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.17325948774814606,
+      "num_tokens": 6986001.0,
+      "step": 3835
+    },
+    {
+      "entropy": 5.420689487457276,
+      "epoch": 3.1814415907207954,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00043071991271588104,
+      "loss": 5.2006,
+      "mean_token_accuracy": 0.18302187621593474,
+      "num_tokens": 6994568.0,
+      "step": 3840
+    },
+    {
+      "entropy": 5.52434401512146,
+      "epoch": 3.1855840927920465,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004304890960220446,
+      "loss": 5.2921,
+      "mean_token_accuracy": 0.16869494169950486,
+      "num_tokens": 7004744.0,
+      "step": 3845
+    },
+    {
+      "entropy": 5.520354557037353,
+      "epoch": 3.1897265948632976,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043025796568970975,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.1696591019630432,
+      "num_tokens": 7014315.0,
+      "step": 3850
+    },
+    {
+      "entropy": 5.523347425460815,
+      "epoch": 3.1938690969345487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043002652218509184,
+      "loss": 5.1172,
+      "mean_token_accuracy": 0.18450311720371246,
+      "num_tokens": 7022258.0,
+      "step": 3855
+    },
+    {
+      "entropy": 5.522213459014893,
+      "epoch": 3.1980115990057993,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004297947659750376,
+      "loss": 5.2587,
+      "mean_token_accuracy": 0.1674624815583229,
+      "num_tokens": 7031732.0,
+      "step": 3860
+    },
+    {
+      "entropy": 5.467557621002197,
+      "epoch": 3.2021541010770505,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004295626975270246,
+      "loss": 5.1818,
+      "mean_token_accuracy": 0.1766605108976364,
+      "num_tokens": 7040478.0,
+      "step": 3865
+    },
+    {
+      "entropy": 5.490935039520264,
+      "epoch": 3.2062966031483016,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00042933031730916024,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.18396904766559602,
+      "num_tokens": 7049360.0,
+      "step": 3870
+    },
+    {
+      "entropy": 5.5688018798828125,
+      "epoch": 3.2104391052195527,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000429097625790181,
+      "loss": 5.2267,
+      "mean_token_accuracy": 0.17498258501291275,
+      "num_tokens": 7059271.0,
+      "step": 3875
+    },
+    {
+      "entropy": 5.398471450805664,
+      "epoch": 3.2145816072908038,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004288646234394508,
+      "loss": 5.2177,
+      "mean_token_accuracy": 0.17296054661273957,
+      "num_tokens": 7069038.0,
+      "step": 3880
+    },
+    {
+      "entropy": 5.5407984256744385,
+      "epoch": 3.218724109362055,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00042863131072696115,
+      "loss": 5.1617,
+      "mean_token_accuracy": 0.17704827934503556,
+      "num_tokens": 7077971.0,
+      "step": 3885
+    },
+    {
+      "entropy": 5.4559561252594,
+      "epoch": 3.2228666114333056,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00042839768812332905,
+      "loss": 5.1612,
+      "mean_token_accuracy": 0.17406544089317322,
+      "num_tokens": 7086821.0,
+      "step": 3890
+    },
+    {
+      "entropy": 5.419722366333008,
+      "epoch": 3.2270091135045567,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000428163756099797,
+      "loss": 5.1859,
+      "mean_token_accuracy": 0.17225482910871506,
+      "num_tokens": 7095407.0,
+      "step": 3895
+    },
+    {
+      "entropy": 5.48249921798706,
+      "epoch": 3.2311516155758078,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004279295151282314,
+      "loss": 5.1116,
+      "mean_token_accuracy": 0.18240531533956528,
+      "num_tokens": 7103964.0,
+      "step": 3900
+    },
+    {
+      "entropy": 5.564240264892578,
+      "epoch": 3.235294117647059,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004276949656811217,
+      "loss": 5.251,
+      "mean_token_accuracy": 0.17079487890005113,
+      "num_tokens": 7113571.0,
+      "step": 3905
+    },
+    {
+      "entropy": 5.522033739089966,
+      "epoch": 3.23943661971831,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00042746010823158006,
+      "loss": 5.2738,
+      "mean_token_accuracy": 0.17067040055990218,
+      "num_tokens": 7122844.0,
+      "step": 3910
+    },
+    {
+      "entropy": 5.4324219703674315,
+      "epoch": 3.243579121789561,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042722494325333945,
+      "loss": 5.1326,
+      "mean_token_accuracy": 0.176889306306839,
+      "num_tokens": 7132123.0,
+      "step": 3915
+    },
+    {
+      "entropy": 5.458636379241943,
+      "epoch": 3.2477216238608118,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004269894712207533,
+      "loss": 5.1819,
+      "mean_token_accuracy": 0.18051923513412477,
+      "num_tokens": 7141068.0,
+      "step": 3920
+    },
+    {
+      "entropy": 5.43212571144104,
+      "epoch": 3.251864125932063,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004267536926087947,
+      "loss": 5.1925,
+      "mean_token_accuracy": 0.1708641156554222,
+      "num_tokens": 7150829.0,
+      "step": 3925
+    },
+    {
+      "entropy": 5.458031702041626,
+      "epoch": 3.256006628003314,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004265176078930545,
+      "loss": 5.1703,
+      "mean_token_accuracy": 0.17345706522464752,
+      "num_tokens": 7160814.0,
+      "step": 3930
+    },
+    {
+      "entropy": 5.498150825500488,
+      "epoch": 3.260149130074565,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00042628121754974166,
+      "loss": 5.2634,
+      "mean_token_accuracy": 0.17203340232372283,
+      "num_tokens": 7170085.0,
+      "step": 3935
+    },
+    {
+      "entropy": 5.590339422225952,
+      "epoch": 3.264291632145816,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004260445220556811,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.1736685037612915,
+      "num_tokens": 7179366.0,
+      "step": 3940
+    },
+    {
+      "entropy": 5.52174072265625,
+      "epoch": 3.2684341342170673,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00042580752188831376,
+      "loss": 5.2819,
+      "mean_token_accuracy": 0.17067586481571198,
+      "num_tokens": 7188342.0,
+      "step": 3945
+    },
+    {
+      "entropy": 5.556540441513062,
+      "epoch": 3.272576636288318,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004255702175256946,
+      "loss": 5.3095,
+      "mean_token_accuracy": 0.17531315684318544,
+      "num_tokens": 7197466.0,
+      "step": 3950
+    },
+    {
+      "entropy": 5.42687840461731,
+      "epoch": 3.276719138359569,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00042533260944649273,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17852312475442886,
+      "num_tokens": 7205462.0,
+      "step": 3955
+    },
+    {
+      "entropy": 5.424286890029907,
+      "epoch": 3.28086164043082,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004250946981299893,
+      "loss": 5.1838,
+      "mean_token_accuracy": 0.17682615667581558,
+      "num_tokens": 7215115.0,
+      "step": 3960
+    },
+    {
+      "entropy": 5.459038209915161,
+      "epoch": 3.2850041425020713,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00042485648405607776,
+      "loss": 5.1379,
+      "mean_token_accuracy": 0.17029522657394408,
+      "num_tokens": 7224909.0,
+      "step": 3965
+    },
+    {
+      "entropy": 5.392039203643799,
+      "epoch": 3.2891466445733224,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004246179677052617,
+      "loss": 5.0642,
+      "mean_token_accuracy": 0.18698266595602037,
+      "num_tokens": 7232946.0,
+      "step": 3970
+    },
+    {
+      "entropy": 5.362467432022095,
+      "epoch": 3.2932891466445735,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004243791495586547,
+      "loss": 5.1736,
+      "mean_token_accuracy": 0.17996304631233215,
+      "num_tokens": 7241104.0,
+      "step": 3975
+    },
+    {
+      "entropy": 5.567073392868042,
+      "epoch": 3.297431648715824,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004241400300979791,
+      "loss": 5.2257,
+      "mean_token_accuracy": 0.1786801502108574,
+      "num_tokens": 7250749.0,
+      "step": 3980
+    },
+    {
+      "entropy": 5.447740983963013,
+      "epoch": 3.3015741507870753,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004239006098055651,
+      "loss": 5.124,
+      "mean_token_accuracy": 0.1787547677755356,
+      "num_tokens": 7258687.0,
+      "step": 3985
+    },
+    {
+      "entropy": 5.41381049156189,
+      "epoch": 3.3057166528583264,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004236608891643494,
+      "loss": 5.1572,
+      "mean_token_accuracy": 0.17702401280403138,
+      "num_tokens": 7267316.0,
+      "step": 3990
+    },
+    {
+      "entropy": 5.448715782165527,
+      "epoch": 3.3098591549295775,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004234208686578748,
+      "loss": 5.1777,
+      "mean_token_accuracy": 0.17505329996347427,
+      "num_tokens": 7276734.0,
+      "step": 3995
+    },
+    {
+      "entropy": 5.440592193603516,
+      "epoch": 3.3140016570008286,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00042318054877028876,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17840310037136078,
+      "num_tokens": 7285916.0,
+      "step": 4000
+    },
+    {
+      "epoch": 3.3140016570008286,
+      "eval_entropy": 5.363256025416002,
+      "eval_loss": 5.893955707550049,
+      "eval_mean_token_accuracy": 0.15349840453819935,
+      "eval_num_tokens": 7285916.0,
+      "eval_runtime": 2.7471,
+      "eval_samples_per_second": 1363.961,
+      "eval_steps_per_second": 170.723,
+      "step": 4000
+    },
+    {
+      "entropy": 5.487448406219483,
+      "epoch": 3.3181441590720797,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042293992998634314,
+      "loss": 5.1667,
+      "mean_token_accuracy": 0.17779863625764847,
+      "num_tokens": 7294184.0,
+      "step": 4005
+    },
+    {
+      "entropy": 5.414953899383545,
+      "epoch": 3.3222866611433304,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004226990127913918,
+      "loss": 5.177,
+      "mean_token_accuracy": 0.1768763244152069,
+      "num_tokens": 7302647.0,
+      "step": 4010
+    },
+    {
+      "entropy": 5.442982530593872,
+      "epoch": 3.3264291632145815,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004224577976713915,
+      "loss": 5.2506,
+      "mean_token_accuracy": 0.16832198798656464,
+      "num_tokens": 7311455.0,
+      "step": 4015
+    },
+    {
+      "entropy": 5.609448575973511,
+      "epoch": 3.3305716652858326,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00042221628511289927,
+      "loss": 5.3136,
+      "mean_token_accuracy": 0.16625809520483018,
+      "num_tokens": 7320978.0,
+      "step": 4020
+    },
+    {
+      "entropy": 5.612923622131348,
+      "epoch": 3.3347141673570837,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004219744756030723,
+      "loss": 5.3273,
+      "mean_token_accuracy": 0.16872513592243193,
+      "num_tokens": 7330202.0,
+      "step": 4025
+    },
+    {
+      "entropy": 5.4015247344970705,
+      "epoch": 3.338856669428335,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00042173236962966706,
+      "loss": 5.1649,
+      "mean_token_accuracy": 0.17969190180301667,
+      "num_tokens": 7339121.0,
+      "step": 4030
+    },
+    {
+      "entropy": 5.492907905578614,
+      "epoch": 3.342999171499586,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004214899676810375,
+      "loss": 5.2251,
+      "mean_token_accuracy": 0.1665240079164505,
+      "num_tokens": 7348631.0,
+      "step": 4035
+    },
+    {
+      "entropy": 5.469464063644409,
+      "epoch": 3.347141673570837,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004212472702461348,
+      "loss": 5.1843,
+      "mean_token_accuracy": 0.1820875510573387,
+      "num_tokens": 7358354.0,
+      "step": 4040
+    },
+    {
+      "entropy": 5.454071807861328,
+      "epoch": 3.3512841756420877,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004210042778145064,
+      "loss": 5.2038,
+      "mean_token_accuracy": 0.17285584658384323,
+      "num_tokens": 7367031.0,
+      "step": 4045
+    },
+    {
+      "entropy": 5.436822319030762,
+      "epoch": 3.355426677713339,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00042076099087629443,
+      "loss": 5.2025,
+      "mean_token_accuracy": 0.1784903883934021,
+      "num_tokens": 7375996.0,
+      "step": 4050
+    },
+    {
+      "entropy": 5.552537536621093,
+      "epoch": 3.35956917978459,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00042051740992223534,
+      "loss": 5.2567,
+      "mean_token_accuracy": 0.16439318358898164,
+      "num_tokens": 7385355.0,
+      "step": 4055
+    },
+    {
+      "entropy": 5.402252960205078,
+      "epoch": 3.363711681855841,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004202735354436586,
+      "loss": 5.0999,
+      "mean_token_accuracy": 0.1792566418647766,
+      "num_tokens": 7394384.0,
+      "step": 4060
+    },
+    {
+      "entropy": 5.511481237411499,
+      "epoch": 3.367854183927092,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00042002936793248546,
+      "loss": 5.2458,
+      "mean_token_accuracy": 0.1770971804857254,
+      "num_tokens": 7403141.0,
+      "step": 4065
+    },
+    {
+      "entropy": 5.508409786224365,
+      "epoch": 3.371996685998343,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004197849078812286,
+      "loss": 5.199,
+      "mean_token_accuracy": 0.1739865079522133,
+      "num_tokens": 7413331.0,
+      "step": 4070
+    },
+    {
+      "entropy": 5.471702003479004,
+      "epoch": 3.376139188069594,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004195401557829907,
+      "loss": 5.2368,
+      "mean_token_accuracy": 0.17052597552537918,
+      "num_tokens": 7422362.0,
+      "step": 4075
+    },
+    {
+      "entropy": 5.4563977241516115,
+      "epoch": 3.380281690140845,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041929511213146343,
+      "loss": 5.1661,
+      "mean_token_accuracy": 0.18033864200115204,
+      "num_tokens": 7431350.0,
+      "step": 4080
+    },
+    {
+      "entropy": 5.4815953254699705,
+      "epoch": 3.384424192212096,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004190497774209266,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.1800685152411461,
+      "num_tokens": 7440382.0,
+      "step": 4085
+    },
+    {
+      "entropy": 5.51438536643982,
+      "epoch": 3.3885666942833472,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00041880415214624715,
+      "loss": 5.2355,
+      "mean_token_accuracy": 0.17847414761781694,
+      "num_tokens": 7449357.0,
+      "step": 4090
+    },
+    {
+      "entropy": 5.463125705718994,
+      "epoch": 3.3927091963545983,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004185582368028781,
+      "loss": 5.1468,
+      "mean_token_accuracy": 0.1853232800960541,
+      "num_tokens": 7457544.0,
+      "step": 4095
+    },
+    {
+      "entropy": 5.409591102600098,
+      "epoch": 3.3968516984258494,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004183120318868577,
+      "loss": 5.1616,
+      "mean_token_accuracy": 0.18774343580007552,
+      "num_tokens": 7465915.0,
+      "step": 4100
+    },
+    {
+      "entropy": 5.435869741439819,
+      "epoch": 3.4009942004971,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00041806553789480787,
+      "loss": 5.1161,
+      "mean_token_accuracy": 0.1833360970020294,
+      "num_tokens": 7474551.0,
+      "step": 4105
+    },
+    {
+      "entropy": 5.507905626296997,
+      "epoch": 3.405136702568351,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00041781875532393423,
+      "loss": 5.2287,
+      "mean_token_accuracy": 0.17473389357328414,
+      "num_tokens": 7483271.0,
+      "step": 4110
+    },
+    {
+      "entropy": 5.474280261993409,
+      "epoch": 3.4092792046396023,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00041757168467202404,
+      "loss": 5.2371,
+      "mean_token_accuracy": 0.17051266878843307,
+      "num_tokens": 7493179.0,
+      "step": 4115
+    },
+    {
+      "entropy": 5.47375521659851,
+      "epoch": 3.4134217067108534,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00041732432643744576,
+      "loss": 5.2132,
+      "mean_token_accuracy": 0.17562344074249267,
+      "num_tokens": 7501858.0,
+      "step": 4120
+    },
+    {
+      "entropy": 5.562008953094482,
+      "epoch": 3.4175642087821045,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004170766811191481,
+      "loss": 5.282,
+      "mean_token_accuracy": 0.16895801872014998,
+      "num_tokens": 7511817.0,
+      "step": 4125
+    },
+    {
+      "entropy": 5.3949895858764645,
+      "epoch": 3.421706710853355,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.0004168287492166587,
+      "loss": 5.2513,
+      "mean_token_accuracy": 0.175115604698658,
+      "num_tokens": 7521655.0,
+      "step": 4130
+    },
+    {
+      "entropy": 5.478516006469727,
+      "epoch": 3.4258492129246063,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041658053123008325,
+      "loss": 5.2289,
+      "mean_token_accuracy": 0.17174260020256044,
+      "num_tokens": 7531321.0,
+      "step": 4135
+    },
+    {
+      "entropy": 5.469200515747071,
+      "epoch": 3.4299917149958574,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004163320276601046,
+      "loss": 5.2104,
+      "mean_token_accuracy": 0.17538849860429764,
+      "num_tokens": 7540613.0,
+      "step": 4140
+    },
+    {
+      "entropy": 5.478423690795898,
+      "epoch": 3.4341342170671085,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004160832390079816,
+      "loss": 5.2823,
+      "mean_token_accuracy": 0.17514234632253647,
+      "num_tokens": 7549598.0,
+      "step": 4145
+    },
+    {
+      "entropy": 5.449503993988037,
+      "epoch": 3.4382767191383596,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00041583416577554815,
+      "loss": 5.1509,
+      "mean_token_accuracy": 0.18169643133878707,
+      "num_tokens": 7558738.0,
+      "step": 4150
+    },
+    {
+      "entropy": 5.454873323440552,
+      "epoch": 3.4424192212096107,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041558480846521213,
+      "loss": 5.1996,
+      "mean_token_accuracy": 0.17627429366111755,
+      "num_tokens": 7566873.0,
+      "step": 4155
+    },
+    {
+      "entropy": 5.413073778152466,
+      "epoch": 3.446561723280862,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041533516757995455,
+      "loss": 5.18,
+      "mean_token_accuracy": 0.1794169783592224,
+      "num_tokens": 7576645.0,
+      "step": 4160
+    },
+    {
+      "entropy": 5.449489498138428,
+      "epoch": 3.4507042253521125,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004150852436233283,
+      "loss": 5.1844,
+      "mean_token_accuracy": 0.17338148206472398,
+      "num_tokens": 7584854.0,
+      "step": 4165
+    },
+    {
+      "entropy": 5.500524044036865,
+      "epoch": 3.4548467274233636,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004148350370994574,
+      "loss": 5.3142,
+      "mean_token_accuracy": 0.16781232208013536,
+      "num_tokens": 7594022.0,
+      "step": 4170
+    },
+    {
+      "entropy": 5.458495187759399,
+      "epoch": 3.4589892294946147,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004145845485130357,
+      "loss": 5.1757,
+      "mean_token_accuracy": 0.17461147904396057,
+      "num_tokens": 7603259.0,
+      "step": 4175
+    },
+    {
+      "entropy": 5.453242301940918,
+      "epoch": 3.463131731565866,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00041433377836932594,
+      "loss": 5.2853,
+      "mean_token_accuracy": 0.1680028423666954,
+      "num_tokens": 7613451.0,
+      "step": 4180
+    },
+    {
+      "entropy": 5.533868455886841,
+      "epoch": 3.467274233637117,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00041408272717415913,
+      "loss": 5.245,
+      "mean_token_accuracy": 0.17225596755743028,
+      "num_tokens": 7622218.0,
+      "step": 4185
+    },
+    {
+      "entropy": 5.351213121414185,
+      "epoch": 3.4714167357083676,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004138313954339327,
+      "loss": 5.104,
+      "mean_token_accuracy": 0.17463669180870056,
+      "num_tokens": 7630508.0,
+      "step": 4190
+    },
+    {
+      "entropy": 5.488496780395508,
+      "epoch": 3.4755592377796187,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004135797836556106,
+      "loss": 5.1982,
+      "mean_token_accuracy": 0.181541608273983,
+      "num_tokens": 7640141.0,
+      "step": 4195
+    },
+    {
+      "entropy": 5.459699392318726,
+      "epoch": 3.47970173985087,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041332789234672094,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1721531167626381,
+      "num_tokens": 7648764.0,
+      "step": 4200
+    },
+    {
+      "entropy": 5.406872129440307,
+      "epoch": 3.483844241922121,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004130757220153561,
+      "loss": 5.1952,
+      "mean_token_accuracy": 0.18173792064189911,
+      "num_tokens": 7658642.0,
+      "step": 4205
+    },
+    {
+      "entropy": 5.544135618209839,
+      "epoch": 3.487986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004128232731701712,
+      "loss": 5.377,
+      "mean_token_accuracy": 0.16519460082054138,
+      "num_tokens": 7667524.0,
+      "step": 4210
+    },
+    {
+      "entropy": 5.488169002532959,
+      "epoch": 3.492129246064623,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004125705463203833,
+      "loss": 5.1928,
+      "mean_token_accuracy": 0.18297115415334703,
+      "num_tokens": 7675800.0,
+      "step": 4215
+    },
+    {
+      "entropy": 5.490040969848633,
+      "epoch": 3.4962717481358743,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041231754197576986,
+      "loss": 5.2252,
+      "mean_token_accuracy": 0.1757526621222496,
+      "num_tokens": 7683742.0,
+      "step": 4220
+    },
+    {
+      "entropy": 5.468280076980591,
+      "epoch": 3.5004142502071254,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004120642606466685,
+      "loss": 5.2278,
+      "mean_token_accuracy": 0.1796238511800766,
+      "num_tokens": 7692379.0,
+      "step": 4225
+    },
+    {
+      "entropy": 5.494374942779541,
+      "epoch": 3.504556752278376,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004118107028439751,
+      "loss": 5.2138,
+      "mean_token_accuracy": 0.17588699012994766,
+      "num_tokens": 7702156.0,
+      "step": 4230
+    },
+    {
+      "entropy": 5.467664003372192,
+      "epoch": 3.508699254349627,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00041155686907914365,
+      "loss": 5.2275,
+      "mean_token_accuracy": 0.1754150867462158,
+      "num_tokens": 7712135.0,
+      "step": 4235
+    },
+    {
+      "entropy": 5.451332426071167,
+      "epoch": 3.5128417564208783,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004113027598641845,
+      "loss": 5.1785,
+      "mean_token_accuracy": 0.1752738744020462,
+      "num_tokens": 7721347.0,
+      "step": 4240
+    },
+    {
+      "entropy": 5.471200275421142,
+      "epoch": 3.5169842584921294,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004110483757116637,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.1789921909570694,
+      "num_tokens": 7731351.0,
+      "step": 4245
+    },
+    {
+      "entropy": 5.433224248886108,
+      "epoch": 3.52112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00041079371713470195,
+      "loss": 5.0996,
+      "mean_token_accuracy": 0.18778069019317628,
+      "num_tokens": 7740413.0,
+      "step": 4250
+    },
+    {
+      "entropy": 5.416608476638794,
+      "epoch": 3.525269262634631,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041053878464697343,
+      "loss": 5.1977,
+      "mean_token_accuracy": 0.18009850829839708,
+      "num_tokens": 7749319.0,
+      "step": 4255
+    },
+    {
+      "entropy": 5.519042015075684,
+      "epoch": 3.5294117647058822,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004102835787627047,
+      "loss": 5.2446,
+      "mean_token_accuracy": 0.17312991321086885,
+      "num_tokens": 7757936.0,
+      "step": 4260
+    },
+    {
+      "entropy": 5.542943048477173,
+      "epoch": 3.5335542667771334,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004100280999966741,
+      "loss": 5.3083,
+      "mean_token_accuracy": 0.17331433892250062,
+      "num_tokens": 7767349.0,
+      "step": 4265
+    },
+    {
+      "entropy": 5.4042651653289795,
+      "epoch": 3.5376967688483845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00040977234886421007,
+      "loss": 5.1133,
+      "mean_token_accuracy": 0.17731781899929047,
+      "num_tokens": 7776448.0,
+      "step": 4270
+    },
+    {
+      "entropy": 5.4222177028656,
+      "epoch": 3.5418392709196356,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040951632588119064,
+      "loss": 5.209,
+      "mean_token_accuracy": 0.17401482313871383,
+      "num_tokens": 7785768.0,
+      "step": 4275
+    },
+    {
+      "entropy": 5.600345802307129,
+      "epoch": 3.5459817729908867,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004092600315640422,
+      "loss": 5.2999,
+      "mean_token_accuracy": 0.1715576618909836,
+      "num_tokens": 7794803.0,
+      "step": 4280
+    },
+    {
+      "entropy": 5.411063814163208,
+      "epoch": 3.550124275062138,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004090034664297382,
+      "loss": 5.157,
+      "mean_token_accuracy": 0.17963247746229172,
+      "num_tokens": 7803533.0,
+      "step": 4285
+    },
+    {
+      "entropy": 5.421855831146241,
+      "epoch": 3.5542667771333885,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00040874663099579883,
+      "loss": 5.2246,
+      "mean_token_accuracy": 0.1706953912973404,
+      "num_tokens": 7812854.0,
+      "step": 4290
+    },
+    {
+      "entropy": 5.49954047203064,
+      "epoch": 3.5584092792046396,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040848952578028915,
+      "loss": 5.1628,
+      "mean_token_accuracy": 0.174958436191082,
+      "num_tokens": 7821683.0,
+      "step": 4295
+    },
+    {
+      "entropy": 5.501424264907837,
+      "epoch": 3.5625517812758907,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004082321513018183,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.18335361480712892,
+      "num_tokens": 7830967.0,
+      "step": 4300
+    },
+    {
+      "entropy": 5.48747296333313,
+      "epoch": 3.566694283347142,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00040797450807953897,
+      "loss": 5.2159,
+      "mean_token_accuracy": 0.17444179207086563,
+      "num_tokens": 7841179.0,
+      "step": 4305
+    },
+    {
+      "entropy": 5.489819192886353,
+      "epoch": 3.5708367854183924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004077165966331454,
+      "loss": 5.1587,
+      "mean_token_accuracy": 0.1852751389145851,
+      "num_tokens": 7849841.0,
+      "step": 4310
+    },
+    {
+      "entropy": 5.301797342300415,
+      "epoch": 3.5749792874896436,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004074584174828735,
+      "loss": 5.2184,
+      "mean_token_accuracy": 0.1747626096010208,
+      "num_tokens": 7859390.0,
+      "step": 4315
+    },
+    {
+      "entropy": 5.493851947784424,
+      "epoch": 3.5791217895608947,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040719997114949856,
+      "loss": 5.1913,
+      "mean_token_accuracy": 0.17565421015024185,
+      "num_tokens": 7868848.0,
+      "step": 4320
+    },
+    {
+      "entropy": 5.506833124160766,
+      "epoch": 3.5832642916321458,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040694125815433533,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.18058759868144988,
+      "num_tokens": 7877521.0,
+      "step": 4325
+    },
+    {
+      "entropy": 5.488465976715088,
+      "epoch": 3.587406793703397,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004066822790192359,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.17181889414787294,
+      "num_tokens": 7886355.0,
+      "step": 4330
+    },
+    {
+      "entropy": 5.437413024902344,
+      "epoch": 3.591549295774648,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00040642303426658967,
+      "loss": 5.2518,
+      "mean_token_accuracy": 0.17224401384592056,
+      "num_tokens": 7895028.0,
+      "step": 4335
+    },
+    {
+      "entropy": 5.379445266723633,
+      "epoch": 3.595691797845899,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040616352441932163,
+      "loss": 5.1282,
+      "mean_token_accuracy": 0.17695483118295668,
+      "num_tokens": 7904192.0,
+      "step": 4340
+    },
+    {
+      "entropy": 5.439553546905517,
+      "epoch": 3.59983429991715,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00040590375000089146,
+      "loss": 5.2066,
+      "mean_token_accuracy": 0.17032651007175445,
+      "num_tokens": 7912328.0,
+      "step": 4345
+    },
+    {
+      "entropy": 5.5121315002441404,
+      "epoch": 3.603976801988401,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00040564371153529256,
+      "loss": 5.2517,
+      "mean_token_accuracy": 0.1720314145088196,
+      "num_tokens": 7922594.0,
+      "step": 4350
+    },
+    {
+      "entropy": 5.450373315811158,
+      "epoch": 3.608119304059652,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004053834095470509,
+      "loss": 5.2201,
+      "mean_token_accuracy": 0.16222715824842454,
+      "num_tokens": 7932345.0,
+      "step": 4355
+    },
+    {
+      "entropy": 5.505369853973389,
+      "epoch": 3.612261806130903,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00040512284456122407,
+      "loss": 5.2236,
+      "mean_token_accuracy": 0.17660728394985198,
+      "num_tokens": 7942800.0,
+      "step": 4360
+    },
+    {
+      "entropy": 5.410261583328247,
+      "epoch": 3.616404308202154,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00040486201710340016,
+      "loss": 5.1287,
+      "mean_token_accuracy": 0.1859680861234665,
+      "num_tokens": 7951094.0,
+      "step": 4365
+    },
+    {
+      "entropy": 5.429905796051026,
+      "epoch": 3.6205468102734053,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040460092769969654,
+      "loss": 5.1947,
+      "mean_token_accuracy": 0.17089750617742538,
+      "num_tokens": 7960652.0,
+      "step": 4370
+    },
+    {
+      "entropy": 5.518308162689209,
+      "epoch": 3.624689312344656,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004043395768767592,
+      "loss": 5.2977,
+      "mean_token_accuracy": 0.16983983814716339,
+      "num_tokens": 7969350.0,
+      "step": 4375
+    },
+    {
+      "entropy": 5.475090789794922,
+      "epoch": 3.628831814415907,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004040779651617612,
+      "loss": 5.1831,
+      "mean_token_accuracy": 0.1762356474995613,
+      "num_tokens": 7978969.0,
+      "step": 4380
+    },
+    {
+      "entropy": 5.422111892700196,
+      "epoch": 3.632974316487158,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040381609308240207,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.1777448311448097,
+      "num_tokens": 7988531.0,
+      "step": 4385
+    },
+    {
+      "entropy": 5.423072242736817,
+      "epoch": 3.6371168185584093,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040355396116690634,
+      "loss": 5.1864,
+      "mean_token_accuracy": 0.17186058908700944,
+      "num_tokens": 7996576.0,
+      "step": 4390
+    },
+    {
+      "entropy": 5.435235500335693,
+      "epoch": 3.6412593206296604,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004032915699440227,
+      "loss": 5.2216,
+      "mean_token_accuracy": 0.17088689655065536,
+      "num_tokens": 8006279.0,
+      "step": 4395
+    },
+    {
+      "entropy": 5.496079921722412,
+      "epoch": 3.6454018227009115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000403028919943023,
+      "loss": 5.2049,
+      "mean_token_accuracy": 0.17314011603593826,
+      "num_tokens": 8015476.0,
+      "step": 4400
+    },
+    {
+      "entropy": 5.474205350875854,
+      "epoch": 3.6495443247721626,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004027660116937009,
+      "loss": 5.2326,
+      "mean_token_accuracy": 0.17077937126159667,
+      "num_tokens": 8025450.0,
+      "step": 4405
+    },
+    {
+      "entropy": 5.4402251720428465,
+      "epoch": 3.6536868268434133,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004025028457263712,
+      "loss": 5.2238,
+      "mean_token_accuracy": 0.17810273319482803,
+      "num_tokens": 8034850.0,
+      "step": 4410
+    },
+    {
+      "entropy": 5.3980237483978275,
+      "epoch": 3.6578293289146644,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004022394225718684,
+      "loss": 5.1709,
+      "mean_token_accuracy": 0.17368220686912536,
+      "num_tokens": 8044526.0,
+      "step": 4415
+    },
+    {
+      "entropy": 5.446775197982788,
+      "epoch": 3.6619718309859155,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004019757427615456,
+      "loss": 5.1341,
+      "mean_token_accuracy": 0.17317759096622468,
+      "num_tokens": 8054033.0,
+      "step": 4420
+    },
+    {
+      "entropy": 5.478370094299317,
+      "epoch": 3.6661143330571666,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0004017118068272739,
+      "loss": 5.2298,
+      "mean_token_accuracy": 0.17926038503646852,
+      "num_tokens": 8063535.0,
+      "step": 4425
+    },
+    {
+      "entropy": 5.495908880233765,
+      "epoch": 3.6702568351284177,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040144761530144096,
+      "loss": 5.2181,
+      "mean_token_accuracy": 0.18870080262422562,
+      "num_tokens": 8073079.0,
+      "step": 4430
+    },
+    {
+      "entropy": 5.367459678649903,
+      "epoch": 3.6743993371996684,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00040118316871695,
+      "loss": 5.1505,
+      "mean_token_accuracy": 0.18230827152729034,
+      "num_tokens": 8082925.0,
+      "step": 4435
+    },
+    {
+      "entropy": 5.457099437713623,
+      "epoch": 3.6785418392709195,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040091846760721857,
+      "loss": 5.2466,
+      "mean_token_accuracy": 0.17278454601764678,
+      "num_tokens": 8092038.0,
+      "step": 4440
+    },
+    {
+      "entropy": 5.460009002685547,
+      "epoch": 3.6826843413421706,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040065351250617774,
+      "loss": 5.2137,
+      "mean_token_accuracy": 0.1679331600666046,
+      "num_tokens": 8101581.0,
+      "step": 4445
+    },
+    {
+      "entropy": 5.392482471466065,
+      "epoch": 3.6868268434134217,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00040038830394827107,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.17032679468393325,
+      "num_tokens": 8111392.0,
+      "step": 4450
+    },
+    {
+      "entropy": 5.5369532108306885,
+      "epoch": 3.690969345484673,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000400122842468453,
+      "loss": 5.2742,
+      "mean_token_accuracy": 0.16916199624538422,
+      "num_tokens": 8120941.0,
+      "step": 4455
+    },
+    {
+      "entropy": 5.403111267089844,
+      "epoch": 3.695111847555924,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003998571286021884,
+      "loss": 5.1822,
+      "mean_token_accuracy": 0.1721450611948967,
+      "num_tokens": 8129983.0,
+      "step": 4460
+    },
+    {
+      "entropy": 5.482623481750489,
+      "epoch": 3.699254349627175,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003995911628854512,
+      "loss": 5.3064,
+      "mean_token_accuracy": 0.1740827202796936,
+      "num_tokens": 8139428.0,
+      "step": 4465
+    },
+    {
+      "entropy": 5.509563970565796,
+      "epoch": 3.7033968516984257,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003993249458547234,
+      "loss": 5.2302,
+      "mean_token_accuracy": 0.16980735808610917,
+      "num_tokens": 8148520.0,
+      "step": 4470
+    },
+    {
+      "entropy": 5.3746521949768065,
+      "epoch": 3.707539353769677,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039905847804699363,
+      "loss": 5.0676,
+      "mean_token_accuracy": 0.18766331672668457,
+      "num_tokens": 8156908.0,
+      "step": 4475
+    },
+    {
+      "entropy": 5.446433591842651,
+      "epoch": 3.711681855840928,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00039879175999975677,
+      "loss": 5.2156,
+      "mean_token_accuracy": 0.18001207262277602,
+      "num_tokens": 8165677.0,
+      "step": 4480
+    },
+    {
+      "entropy": 5.386814975738526,
+      "epoch": 3.715824357912179,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00039852479225101217,
+      "loss": 5.1883,
+      "mean_token_accuracy": 0.17356531620025634,
+      "num_tokens": 8174786.0,
+      "step": 4485
+    },
+    {
+      "entropy": 5.454575872421264,
+      "epoch": 3.71996685998343,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00039825757533926305,
+      "loss": 5.2484,
+      "mean_token_accuracy": 0.16340016275644303,
+      "num_tokens": 8184150.0,
+      "step": 4490
+    },
+    {
+      "entropy": 5.4400050163269045,
+      "epoch": 3.724109362054681,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039799010980351494,
+      "loss": 5.1455,
+      "mean_token_accuracy": 0.1879016414284706,
+      "num_tokens": 8192257.0,
+      "step": 4495
+    },
+    {
+      "entropy": 5.452324247360229,
+      "epoch": 3.728251864125932,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00039772239618327535,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.1748780906200409,
+      "num_tokens": 8201041.0,
+      "step": 4500
+    },
+    {
+      "epoch": 3.728251864125932,
+      "eval_entropy": 5.297962182620441,
+      "eval_loss": 5.854063987731934,
+      "eval_mean_token_accuracy": 0.15576711011085428,
+      "eval_num_tokens": 8201041.0,
+      "eval_runtime": 2.7449,
+      "eval_samples_per_second": 1365.057,
+      "eval_steps_per_second": 170.86,
+      "step": 4500
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 12060,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.2249529684992e+16,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}
diff --git a/checkpoint-4500/training_args.bin b/checkpoint-4500/training_args.bin
new file mode 100644
index 0000000..47a7b32
--- /dev/null
+++ b/checkpoint-4500/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e406e906697be5d5c4bea7f90a038122ca162eb6b7e40512a32661ef55af9075
+size 6353
diff --git a/checkpoint-500/added_tokens.json b/checkpoint-500/added_tokens.json
new file mode 100644
index 0000000..b3dbcdb
--- /dev/null
+++ b/checkpoint-500/added_tokens.json
@@ -0,0 +1,1202 @@
+{
+  "<pad>": 50002,
+  "[CLS]": 50000,
+  "[MASK]": 50003,
+  "[SEP]": 50001,
+  "[XXXXX0]": 50771,
+  "[XXXXX1000]": 50549,
+  "[XXXXX1001]": 50657,
+  "[XXXXX1002]": 51158,
+  "[XXXXX1003]": 51044,
+  "[XXXXX1004]": 50688,
+  "[XXXXX1005]": 50689,
+  "[XXXXX1006]": 50410,
+  "[XXXXX1007]": 50724,
+  "[XXXXX1008]": 50171,
+  "[XXXXX1009]": 51077,
+  "[XXXXX100]": 50091,
+  "[XXXXX1010]": 50639,
+  "[XXXXX1011]": 51094,
+  "[XXXXX1012]": 50392,
+  "[XXXXX1013]": 50626,
+  "[XXXXX1014]": 50991,
+  "[XXXXX1015]": 50529,
+  "[XXXXX1016]": 51193,
+  "[XXXXX1017]": 51073,
+  "[XXXXX1018]": 51104,
+  "[XXXXX1019]": 50775,
+  "[XXXXX101]": 50139,
+  "[XXXXX1020]": 50157,
+  "[XXXXX1021]": 50934,
+  "[XXXXX1022]": 51159,
+  "[XXXXX1023]": 50048,
+  "[XXXXX1024]": 51123,
+  "[XXXXX1025]": 50084,
+  "[XXXXX1026]": 50813,
+  "[XXXXX1027]": 50725,
+  "[XXXXX1028]": 50931,
+  "[XXXXX1029]": 50233,
+  "[XXXXX102]": 50213,
+  "[XXXXX1030]": 51023,
+  "[XXXXX1031]": 50098,
+  "[XXXXX1032]": 50802,
+  "[XXXXX1033]": 50061,
+  "[XXXXX1034]": 51139,
+  "[XXXXX1035]": 51110,
+  "[XXXXX1036]": 50204,
+  "[XXXXX1037]": 50023,
+  "[XXXXX1038]": 50142,
+  "[XXXXX1039]": 50328,
+  "[XXXXX103]": 50087,
+  "[XXXXX1040]": 50435,
+  "[XXXXX1041]": 50489,
+  "[XXXXX1042]": 50216,
+  "[XXXXX1043]": 50144,
+  "[XXXXX1044]": 50832,
+  "[XXXXX1045]": 50566,
+  "[XXXXX1046]": 50922,
+  "[XXXXX1047]": 50796,
+  "[XXXXX1048]": 50533,
+  "[XXXXX1049]": 50433,
+  "[XXXXX104]": 50478,
+  "[XXXXX1050]": 50953,
+  "[XXXXX1051]": 50497,
+  "[XXXXX1052]": 50655,
+  "[XXXXX1053]": 50881,
+  "[XXXXX1054]": 50461,
+  "[XXXXX1055]": 50052,
+  "[XXXXX1056]": 50219,
+  "[XXXXX1057]": 50789,
+  "[XXXXX1058]": 50121,
+  "[XXXXX1059]": 51002,
+  "[XXXXX105]": 51192,
+  "[XXXXX1060]": 50158,
+  "[XXXXX1061]": 50352,
+  "[XXXXX1062]": 50637,
+  "[XXXXX1063]": 50440,
+  "[XXXXX1064]": 50590,
+  "[XXXXX1065]": 51107,
+  "[XXXXX1066]": 50758,
+  "[XXXXX1067]": 51011,
+  "[XXXXX1068]": 50985,
+  "[XXXXX1069]": 51175,
+  "[XXXXX106]": 50532,
+  "[XXXXX1070]": 50790,
+  "[XXXXX1071]": 50394,
+  "[XXXXX1072]": 50852,
+  "[XXXXX1073]": 50869,
+  "[XXXXX1074]": 50126,
+  "[XXXXX1075]": 50783,
+  "[XXXXX1076]": 50806,
+  "[XXXXX1077]": 50882,
+  "[XXXXX1078]": 50726,
+  "[XXXXX1079]": 51010,
+  "[XXXXX107]": 50714,
+  "[XXXXX1080]": 50168,
+  "[XXXXX1081]": 50425,
+  "[XXXXX1082]": 50848,
+  "[XXXXX1083]": 50014,
+  "[XXXXX1084]": 50341,
+  "[XXXXX1085]": 50734,
+  "[XXXXX1086]": 50664,
+  "[XXXXX1087]": 51007,
+  "[XXXXX1088]": 51151,
+  "[XXXXX1089]": 50269,
+  "[XXXXX108]": 50996,
+  "[XXXXX1090]": 50826,
+  "[XXXXX1091]": 51105,
+  "[XXXXX1092]": 50731,
+  "[XXXXX1093]": 50856,
+  "[XXXXX1094]": 50369,
+  "[XXXXX1095]": 50065,
+  "[XXXXX1096]": 50309,
+  "[XXXXX1097]": 50838,
+  "[XXXXX1098]": 50451,
+  "[XXXXX1099]": 50384,
+  "[XXXXX109]": 50543,
+  "[XXXXX10]": 50325,
+  "[XXXXX1100]": 50318,
+  "[XXXXX1101]": 50764,
+  "[XXXXX1102]": 51025,
+  "[XXXXX1103]": 50642,
+  "[XXXXX1104]": 50665,
+  "[XXXXX1105]": 50855,
+  "[XXXXX1106]": 51063,
+  "[XXXXX1107]": 50025,
+  "[XXXXX1108]": 50122,
+  "[XXXXX1109]": 50470,
+  "[XXXXX110]": 50062,
+  "[XXXXX1110]": 51019,
+  "[XXXXX1111]": 51124,
+  "[XXXXX1112]": 50146,
+  "[XXXXX1113]": 51125,
+  "[XXXXX1114]": 50434,
+  "[XXXXX1115]": 50818,
+  "[XXXXX1116]": 50960,
+  "[XXXXX1117]": 50258,
+  "[XXXXX1118]": 50596,
+  "[XXXXX1119]": 50083,
+  "[XXXXX111]": 51064,
+  "[XXXXX1120]": 50915,
+  "[XXXXX1121]": 50835,
+  "[XXXXX1122]": 51056,
+  "[XXXXX1123]": 50172,
+  "[XXXXX1124]": 50972,
+  "[XXXXX1125]": 50275,
+  "[XXXXX1126]": 50430,
+  "[XXXXX1127]": 50743,
+  "[XXXXX1128]": 50551,
+  "[XXXXX1129]": 50439,
+  "[XXXXX112]": 50819,
+  "[XXXXX1130]": 50536,
+  "[XXXXX1131]": 50622,
+  "[XXXXX1132]": 50623,
+  "[XXXXX1133]": 50117,
+  "[XXXXX1134]": 50251,
+  "[XXXXX1135]": 50678,
+  "[XXXXX1136]": 50316,
+  "[XXXXX1137]": 50905,
+  "[XXXXX1138]": 50992,
+  "[XXXXX1139]": 50851,
+  "[XXXXX113]": 50443,
+  "[XXXXX1140]": 50499,
+  "[XXXXX1141]": 50629,
+  "[XXXXX1142]": 50944,
+  "[XXXXX1143]": 50373,
+  "[XXXXX1144]": 50123,
+  "[XXXXX1145]": 50173,
+  "[XXXXX1146]": 50891,
+  "[XXXXX1147]": 50471,
+  "[XXXXX1148]": 50560,
+  "[XXXXX1149]": 50541,
+  "[XXXXX114]": 50631,
+  "[XXXXX1150]": 50033,
+  "[XXXXX1151]": 50063,
+  "[XXXXX1152]": 50767,
+  "[XXXXX1153]": 50897,
+  "[XXXXX1154]": 50568,
+  "[XXXXX1155]": 51131,
+  "[XXXXX1156]": 50009,
+  "[XXXXX1157]": 50417,
+  "[XXXXX1158]": 50477,
+  "[XXXXX1159]": 50941,
+  "[XXXXX115]": 50294,
+  "[XXXXX1160]": 50679,
+  "[XXXXX1161]": 51108,
+  "[XXXXX1162]": 50332,
+  "[XXXXX1163]": 50424,
+  "[XXXXX1164]": 50473,
+  "[XXXXX1165]": 50793,
+  "[XXXXX1166]": 50453,
+  "[XXXXX1167]": 50807,
+  "[XXXXX1168]": 50128,
+  "[XXXXX1169]": 50039,
+  "[XXXXX116]": 50759,
+  "[XXXXX1170]": 50735,
+  "[XXXXX1171]": 50366,
+  "[XXXXX1172]": 50808,
+  "[XXXXX1173]": 50426,
+  "[XXXXX1174]": 50076,
+  "[XXXXX1175]": 50943,
+  "[XXXXX1176]": 50252,
+  "[XXXXX1177]": 50999,
+  "[XXXXX1178]": 50264,
+  "[XXXXX1179]": 50607,
+  "[XXXXX117]": 51036,
+  "[XXXXX1180]": 50986,
+  "[XXXXX1181]": 50744,
+  "[XXXXX1182]": 50186,
+  "[XXXXX1183]": 50555,
+  "[XXXXX1184]": 51076,
+  "[XXXXX1185]": 50849,
+  "[XXXXX1186]": 51128,
+  "[XXXXX1187]": 50858,
+  "[XXXXX1188]": 50656,
+  "[XXXXX1189]": 50064,
+  "[XXXXX118]": 50081,
+  "[XXXXX1190]": 51197,
+  "[XXXXX1191]": 50104,
+  "[XXXXX1192]": 50045,
+  "[XXXXX1193]": 50404,
+  "[XXXXX1194]": 50690,
+  "[XXXXX1195]": 50495,
+  "[XXXXX119]": 50108,
+  "[XXXXX11]": 50976,
+  "[XXXXX120]": 51081,
+  "[XXXXX121]": 50464,
+  "[XXXXX122]": 50829,
+  "[XXXXX123]": 50766,
+  "[XXXXX124]": 50732,
+  "[XXXXX125]": 50221,
+  "[XXXXX126]": 50810,
+  "[XXXXX127]": 50130,
+  "[XXXXX128]": 50751,
+  "[XXXXX129]": 50662,
+  "[XXXXX12]": 50602,
+  "[XXXXX130]": 50035,
+  "[XXXXX131]": 50715,
+  "[XXXXX132]": 50340,
+  "[XXXXX133]": 50563,
+  "[XXXXX134]": 50993,
+  "[XXXXX135]": 50304,
+  "[XXXXX136]": 50131,
+  "[XXXXX137]": 50578,
+  "[XXXXX138]": 50757,
+  "[XXXXX139]": 50582,
+  "[XXXXX13]": 50105,
+  "[XXXXX140]": 50085,
+  "[XXXXX141]": 50553,
+  "[XXXXX142]": 50749,
+  "[XXXXX143]": 50351,
+  "[XXXXX144]": 51024,
+  "[XXXXX145]": 51144,
+  "[XXXXX146]": 50042,
+  "[XXXXX147]": 50145,
+  "[XXXXX148]": 50066,
+  "[XXXXX149]": 50876,
+  "[XXXXX14]": 51006,
+  "[XXXXX150]": 50280,
+  "[XXXXX151]": 50093,
+  "[XXXXX152]": 50638,
+  "[XXXXX153]": 50684,
+  "[XXXXX154]": 50820,
+  "[XXXXX155]": 51196,
+  "[XXXXX156]": 50317,
+  "[XXXXX157]": 50284,
+  "[XXXXX158]": 50288,
+  "[XXXXX159]": 50814,
+  "[XXXXX15]": 50608,
+  "[XXXXX160]": 50004,
+  "[XXXXX161]": 50008,
+  "[XXXXX162]": 50377,
+  "[XXXXX163]": 50214,
+  "[XXXXX164]": 50708,
+  "[XXXXX165]": 50390,
+  "[XXXXX166]": 50741,
+  "[XXXXX167]": 50445,
+  "[XXXXX168]": 50936,
+  "[XXXXX169]": 50896,
+  "[XXXXX16]": 50442,
+  "[XXXXX170]": 50109,
+  "[XXXXX171]": 50140,
+  "[XXXXX172]": 50427,
+  "[XXXXX173]": 51074,
+  "[XXXXX174]": 50162,
+  "[XXXXX175]": 51015,
+  "[XXXXX176]": 50524,
+  "[XXXXX177]": 50673,
+  "[XXXXX178]": 50054,
+  "[XXXXX179]": 50805,
+  "[XXXXX17]": 50482,
+  "[XXXXX180]": 50253,
+  "[XXXXX181]": 50493,
+  "[XXXXX182]": 50421,
+  "[XXXXX183]": 51050,
+  "[XXXXX184]": 50521,
+  "[XXXXX185]": 50188,
+  "[XXXXX186]": 50147,
+  "[XXXXX187]": 50201,
+  "[XXXXX188]": 50973,
+  "[XXXXX189]": 50409,
+  "[XXXXX18]": 50115,
+  "[XXXXX190]": 50051,
+  "[XXXXX191]": 51020,
+  "[XXXXX192]": 51047,
+  "[XXXXX193]": 50669,
+  "[XXXXX194]": 50643,
+  "[XXXXX195]": 50159,
+  "[XXXXX196]": 50649,
+  "[XXXXX197]": 51178,
+  "[XXXXX198]": 50043,
+  "[XXXXX199]": 51147,
+  "[XXXXX19]": 51127,
+  "[XXXXX1]": 51114,
+  "[XXXXX200]": 50840,
+  "[XXXXX201]": 50365,
+  "[XXXXX202]": 50232,
+  "[XXXXX203]": 50241,
+  "[XXXXX204]": 50548,
+  "[XXXXX205]": 50781,
+  "[XXXXX206]": 50923,
+  "[XXXXX207]": 51115,
+  "[XXXXX208]": 50344,
+  "[XXXXX209]": 50299,
+  "[XXXXX20]": 51031,
+  "[XXXXX210]": 51179,
+  "[XXXXX211]": 51163,
+  "[XXXXX212]": 50562,
+  "[XXXXX213]": 50094,
+  "[XXXXX214]": 50257,
+  "[XXXXX215]": 50967,
+  "[XXXXX216]": 50523,
+  "[XXXXX217]": 51132,
+  "[XXXXX218]": 51146,
+  "[XXXXX219]": 50411,
+  "[XXXXX21]": 50354,
+  "[XXXXX220]": 50853,
+  "[XXXXX221]": 50886,
+  "[XXXXX222]": 50600,
+  "[XXXXX223]": 50873,
+  "[XXXXX224]": 50416,
+  "[XXXXX225]": 50675,
+  "[XXXXX226]": 50583,
+  "[XXXXX227]": 50151,
+  "[XXXXX228]": 50927,
+  "[XXXXX229]": 50609,
+  "[XXXXX22]": 50589,
+  "[XXXXX230]": 50238,
+  "[XXXXX231]": 50242,
+  "[XXXXX232]": 51016,
+  "[XXXXX233]": 50406,
+  "[XXXXX234]": 50908,
+  "[XXXXX235]": 50024,
+  "[XXXXX236]": 50270,
+  "[XXXXX237]": 50132,
+  "[XXXXX238]": 50800,
+  "[XXXXX239]": 50236,
+  "[XXXXX23]": 50007,
+  "[XXXXX240]": 50005,
+  "[XXXXX241]": 50894,
+  "[XXXXX242]": 50694,
+  "[XXXXX243]": 51071,
+  "[XXXXX244]": 51017,
+  "[XXXXX245]": 50068,
+  "[XXXXX246]": 50682,
+  "[XXXXX247]": 50913,
+  "[XXXXX248]": 51028,
+  "[XXXXX249]": 50037,
+  "[XXXXX24]": 51169,
+  "[XXXXX250]": 50747,
+  "[XXXXX251]": 50947,
+  "[XXXXX252]": 50329,
+  "[XXXXX253]": 50612,
+  "[XXXXX254]": 50110,
+  "[XXXXX255]": 50824,
+  "[XXXXX256]": 50558,
+  "[XXXXX257]": 50969,
+  "[XXXXX258]": 50729,
+  "[XXXXX259]": 50125,
+  "[XXXXX25]": 51160,
+  "[XXXXX260]": 50040,
+  "[XXXXX261]": 51038,
+  "[XXXXX262]": 50347,
+  "[XXXXX263]": 50740,
+  "[XXXXX264]": 51195,
+  "[XXXXX265]": 50879,
+  "[XXXXX266]": 50770,
+  "[XXXXX267]": 50178,
+  "[XXXXX268]": 50804,
+  "[XXXXX269]": 50906,
+  "[XXXXX26]": 50150,
+  "[XXXXX270]": 51191,
+  "[XXXXX271]": 50047,
+  "[XXXXX272]": 50195,
+  "[XXXXX273]": 50554,
+  "[XXXXX274]": 50833,
+  "[XXXXX275]": 50346,
+  "[XXXXX276]": 50950,
+  "[XXXXX277]": 50864,
+  "[XXXXX278]": 50259,
+  "[XXXXX279]": 50671,
+  "[XXXXX27]": 50468,
+  "[XXXXX280]": 50082,
+  "[XXXXX281]": 50565,
+  "[XXXXX282]": 50984,
+  "[XXXXX283]": 50650,
+  "[XXXXX284]": 50975,
+  "[XXXXX285]": 50603,
+  "[XXXXX286]": 50027,
+  "[XXXXX287]": 50181,
+  "[XXXXX288]": 50981,
+  "[XXXXX289]": 50885,
+  "[XXXXX28]": 50249,
+  "[XXXXX290]": 50522,
+  "[XXXXX291]": 50050,
+  "[XXXXX292]": 50313,
+  "[XXXXX293]": 50503,
+  "[XXXXX294]": 51176,
+  "[XXXXX295]": 51177,
+  "[XXXXX296]": 50379,
+  "[XXXXX297]": 50635,
+  "[XXXXX298]": 50723,
+  "[XXXXX299]": 50200,
+  "[XXXXX29]": 50892,
+  "[XXXXX2]": 51119,
+  "[XXXXX300]": 51026,
+  "[XXXXX301]": 50528,
+  "[XXXXX302]": 51149,
+  "[XXXXX303]": 50044,
+  "[XXXXX304]": 50209,
+  "[XXXXX305]": 50988,
+  "[XXXXX306]": 50518,
+  "[XXXXX307]": 50088,
+  "[XXXXX308]": 50733,
+  "[XXXXX309]": 51066,
+  "[XXXXX30]": 50506,
+  "[XXXXX310]": 50285,
+  "[XXXXX311]": 50859,
+  "[XXXXX312]": 50263,
+  "[XXXXX313]": 50594,
+  "[XXXXX314]": 51103,
+  "[XXXXX315]": 50871,
+  "[XXXXX316]": 50300,
+  "[XXXXX317]": 50760,
+  "[XXXXX318]": 50055,
+  "[XXXXX319]": 50389,
+  "[XXXXX31]": 50212,
+  "[XXXXX320]": 50444,
+  "[XXXXX321]": 50994,
+  "[XXXXX322]": 50281,
+  "[XXXXX323]": 50179,
+  "[XXXXX324]": 50455,
+  "[XXXXX325]": 50970,
+  "[XXXXX326]": 50666,
+  "[XXXXX327]": 50604,
+  "[XXXXX328]": 50627,
+  "[XXXXX329]": 50475,
+  "[XXXXX32]": 50277,
+  "[XXXXX330]": 50667,
+  "[XXXXX331]": 50348,
+  "[XXXXX332]": 50772,
+  "[XXXXX333]": 50163,
+  "[XXXXX334]": 50569,
+  "[XXXXX335]": 50018,
+  "[XXXXX336]": 50883,
+  "[XXXXX337]": 50067,
+  "[XXXXX338]": 51184,
+  "[XXXXX339]": 50997,
+  "[XXXXX33]": 50403,
+  "[XXXXX340]": 51013,
+  "[XXXXX341]": 50957,
+  "[XXXXX342]": 51106,
+  "[XXXXX343]": 51174,
+  "[XXXXX344]": 50391,
+  "[XXXXX345]": 50948,
+  "[XXXXX346]": 50180,
+  "[XXXXX347]": 50811,
+  "[XXXXX348]": 50401,
+  "[XXXXX349]": 50911,
+  "[XXXXX34]": 50223,
+  "[XXXXX350]": 51089,
+  "[XXXXX351]": 50777,
+  "[XXXXX352]": 50189,
+  "[XXXXX353]": 50492,
+  "[XXXXX354]": 50205,
+  "[XXXXX355]": 50374,
+  "[XXXXX356]": 51152,
+  "[XXXXX357]": 50695,
+  "[XXXXX358]": 51117,
+  "[XXXXX359]": 50573,
+  "[XXXXX35]": 50752,
+  "[XXXXX360]": 50955,
+  "[XXXXX361]": 50349,
+  "[XXXXX362]": 51137,
+  "[XXXXX363]": 50641,
+  "[XXXXX364]": 51148,
+  "[XXXXX365]": 50255,
+  "[XXXXX366]": 50310,
+  "[XXXXX367]": 50314,
+  "[XXXXX368]": 50971,
+  "[XXXXX369]": 50916,
+  "[XXXXX36]": 50437,
+  "[XXXXX370]": 51096,
+  "[XXXXX371]": 50557,
+  "[XXXXX372]": 51095,
+  "[XXXXX373]": 50382,
+  "[XXXXX374]": 50119,
+  "[XXXXX375]": 50958,
+  "[XXXXX376]": 50624,
+  "[XXXXX377]": 50483,
+  "[XXXXX378]": 50605,
+  "[XXXXX379]": 50017,
+  "[XXXXX37]": 50706,
+  "[XXXXX380]": 50246,
+  "[XXXXX381]": 50588,
+  "[XXXXX382]": 51008,
+  "[XXXXX383]": 50801,
+  "[XXXXX384]": 50290,
+  "[XXXXX385]": 50899,
+  "[XXXXX386]": 50206,
+  "[XXXXX387]": 50716,
+  "[XXXXX388]": 51082,
+  "[XXXXX389]": 50177,
+  "[XXXXX38]": 50736,
+  "[XXXXX390]": 50282,
+  "[XXXXX391]": 51183,
+  "[XXXXX392]": 50286,
+  "[XXXXX393]": 50659,
+  "[XXXXX394]": 50378,
+  "[XXXXX395]": 50709,
+  "[XXXXX396]": 50028,
+  "[XXXXX397]": 50235,
+  "[XXXXX398]": 51014,
+  "[XXXXX399]": 50880,
+  "[XXXXX39]": 50305,
+  "[XXXXX3]": 50077,
+  "[XXXXX400]": 50155,
+  "[XXXXX401]": 50710,
+  "[XXXXX402]": 50507,
+  "[XXXXX403]": 50860,
+  "[XXXXX404]": 50661,
+  "[XXXXX405]": 51083,
+  "[XXXXX406]": 50888,
+  "[XXXXX407]": 50069,
+  "[XXXXX408]": 50691,
+  "[XXXXX409]": 51055,
+  "[XXXXX40]": 50337,
+  "[XXXXX410]": 50137,
+  "[XXXXX411]": 50791,
+  "[XXXXX412]": 50136,
+  "[XXXXX413]": 50730,
+  "[XXXXX414]": 50267,
+  "[XXXXX415]": 50012,
+  "[XXXXX416]": 50681,
+  "[XXXXX417]": 50942,
+  "[XXXXX418]": 50720,
+  "[XXXXX419]": 50844,
+  "[XXXXX41]": 50387,
+  "[XXXXX420]": 50111,
+  "[XXXXX421]": 51003,
+  "[XXXXX422]": 50785,
+  "[XXXXX423]": 50149,
+  "[XXXXX424]": 50422,
+  "[XXXXX425]": 51086,
+  "[XXXXX426]": 50862,
+  "[XXXXX427]": 50576,
+  "[XXXXX428]": 51049,
+  "[XXXXX429]": 50630,
+  "[XXXXX42]": 50799,
+  "[XXXXX430]": 50289,
+  "[XXXXX431]": 50184,
+  "[XXXXX432]": 50319,
+  "[XXXXX433]": 51116,
+  "[XXXXX434]": 50519,
+  "[XXXXX435]": 50496,
+  "[XXXXX436]": 50517,
+  "[XXXXX437]": 50865,
+  "[XXXXX438]": 50737,
+  "[XXXXX439]": 50356,
+  "[XXXXX43]": 50359,
+  "[XXXXX440]": 50898,
+  "[XXXXX441]": 50113,
+  "[XXXXX442]": 50527,
+  "[XXXXX443]": 50762,
+  "[XXXXX444]": 50540,
+  "[XXXXX445]": 50925,
+  "[XXXXX446]": 50711,
+  "[XXXXX447]": 50143,
+  "[XXXXX448]": 51170,
+  "[XXXXX449]": 50413,
+  "[XXXXX44]": 50097,
+  "[XXXXX450]": 50375,
+  "[XXXXX451]": 50846,
+  "[XXXXX452]": 50217,
+  "[XXXXX453]": 50699,
+  "[XXXXX454]": 50412,
+  "[XXXXX455]": 50418,
+  "[XXXXX456]": 51143,
+  "[XXXXX457]": 51141,
+  "[XXXXX458]": 51157,
+  "[XXXXX459]": 50825,
+  "[XXXXX45]": 50203,
+  "[XXXXX460]": 50194,
+  "[XXXXX461]": 50148,
+  "[XXXXX462]": 50276,
+  "[XXXXX463]": 50271,
+  "[XXXXX464]": 50836,
+  "[XXXXX465]": 50854,
+  "[XXXXX466]": 50164,
+  "[XXXXX467]": 50484,
+  "[XXXXX468]": 51097,
+  "[XXXXX469]": 50182,
+  "[XXXXX46]": 50505,
+  "[XXXXX470]": 50670,
+  "[XXXXX471]": 50595,
+  "[XXXXX472]": 50237,
+  "[XXXXX473]": 50057,
+  "[XXXXX474]": 50431,
+  "[XXXXX475]": 50738,
+  "[XXXXX476]": 51145,
+  "[XXXXX477]": 50247,
+  "[XXXXX478]": 50029,
+  "[XXXXX479]": 50917,
+  "[XXXXX47]": 50579,
+  "[XXXXX480]": 50702,
+  "[XXXXX481]": 50831,
+  "[XXXXX482]": 50753,
+  "[XXXXX483]": 50598,
+  "[XXXXX484]": 51136,
+  "[XXXXX485]": 50092,
+  "[XXXXX486]": 50202,
+  "[XXXXX487]": 50106,
+  "[XXXXX488]": 50924,
+  "[XXXXX489]": 51113,
+  "[XXXXX48]": 50842,
+  "[XXXXX490]": 50761,
+  "[XXXXX491]": 50577,
+  "[XXXXX492]": 50692,
+  "[XXXXX493]": 51130,
+  "[XXXXX494]": 50932,
+  "[XXXXX495]": 50837,
+  "[XXXXX496]": 50893,
+  "[XXXXX497]": 50773,
+  "[XXXXX498]": 50360,
+  "[XXXXX499]": 50900,
+  "[XXXXX49]": 51062,
+  "[XXXXX4]": 50396,
+  "[XXXXX500]": 51034,
+  "[XXXXX501]": 50472,
+  "[XXXXX502]": 50660,
+  "[XXXXX503]": 50815,
+  "[XXXXX504]": 50939,
+  "[XXXXX505]": 50419,
+  "[XXXXX506]": 50324,
+  "[XXXXX507]": 50428,
+  "[XXXXX508]": 50274,
+  "[XXXXX509]": 50311,
+  "[XXXXX50]": 50459,
+  "[XXXXX510]": 50674,
+  "[XXXXX511]": 50580,
+  "[XXXXX512]": 50956,
+  "[XXXXX513]": 50165,
+  "[XXXXX514]": 50320,
+  "[XXXXX515]": 50648,
+  "[XXXXX516]": 50386,
+  "[XXXXX517]": 50058,
+  "[XXXXX518]": 51045,
+  "[XXXXX519]": 50103,
+  "[XXXXX51]": 50979,
+  "[XXXXX520]": 50530,
+  "[XXXXX521]": 50907,
+  "[XXXXX522]": 50260,
+  "[XXXXX523]": 50632,
+  "[XXXXX524]": 50926,
+  "[XXXXX525]": 50687,
+  "[XXXXX526]": 50160,
+  "[XXXXX527]": 51053,
+  "[XXXXX528]": 50652,
+  "[XXXXX529]": 51041,
+  "[XXXXX52]": 50272,
+  "[XXXXX530]": 51111,
+  "[XXXXX531]": 51009,
+  "[XXXXX532]": 51079,
+  "[XXXXX533]": 50487,
+  "[XXXXX534]": 51059,
+  "[XXXXX535]": 50335,
+  "[XXXXX536]": 50380,
+  "[XXXXX537]": 50301,
+  "[XXXXX538]": 51067,
+  "[XXXXX539]": 51052,
+  "[XXXXX53]": 51048,
+  "[XXXXX540]": 50822,
+  "[XXXXX541]": 51040,
+  "[XXXXX542]": 50490,
+  "[XXXXX543]": 50448,
+  "[XXXXX544]": 50812,
+  "[XXXXX545]": 50099,
+  "[XXXXX546]": 51199,
+  "[XXXXX547]": 50226,
+  "[XXXXX548]": 50538,
+  "[XXXXX549]": 50342,
+  "[XXXXX54]": 50701,
+  "[XXXXX550]": 50544,
+  "[XXXXX551]": 50398,
+  "[XXXXX552]": 51102,
+  "[XXXXX553]": 50919,
+  "[XXXXX554]": 50615,
+  "[XXXXX555]": 50769,
+  "[XXXXX556]": 50940,
+  "[XXXXX557]": 50070,
+  "[XXXXX558]": 50680,
+  "[XXXXX559]": 50611,
+  "[XXXXX55]": 50574,
+  "[XXXXX560]": 50381,
+  "[XXXXX561]": 50350,
+  "[XXXXX562]": 50175,
+  "[XXXXX563]": 50584,
+  "[XXXXX564]": 50703,
+  "[XXXXX565]": 50989,
+  "[XXXXX566]": 50877,
+  "[XXXXX567]": 51039,
+  "[XXXXX568]": 51018,
+  "[XXXXX569]": 50452,
+  "[XXXXX56]": 51099,
+  "[XXXXX570]": 50161,
+  "[XXXXX571]": 50921,
+  "[XXXXX572]": 50676,
+  "[XXXXX573]": 50326,
+  "[XXXXX574]": 50987,
+  "[XXXXX575]": 50361,
+  "[XXXXX576]": 50071,
+  "[XXXXX577]": 50803,
+  "[XXXXX578]": 50400,
+  "[XXXXX579]": 51091,
+  "[XXXXX57]": 50501,
+  "[XXXXX580]": 50887,
+  "[XXXXX581]": 50839,
+  "[XXXXX582]": 51138,
+  "[XXXXX583]": 50816,
+  "[XXXXX584]": 50339,
+  "[XXXXX585]": 50463,
+  "[XXXXX586]": 50399,
+  "[XXXXX587]": 51070,
+  "[XXXXX588]": 50457,
+  "[XXXXX589]": 50828,
+  "[XXXXX58]": 50183,
+  "[XXXXX590]": 50080,
+  "[XXXXX591]": 50550,
+  "[XXXXX592]": 50129,
+  "[XXXXX593]": 50273,
+  "[XXXXX594]": 50388,
+  "[XXXXX595]": 50491,
+  "[XXXXX596]": 50278,
+  "[XXXXX597]": 50011,
+  "[XXXXX598]": 50254,
+  "[XXXXX599]": 50302,
+  "[XXXXX59]": 50353,
+  "[XXXXX5]": 50010,
+  "[XXXXX600]": 50704,
+  "[XXXXX601]": 51118,
+  "[XXXXX602]": 50049,
+  "[XXXXX603]": 51190,
+  "[XXXXX604]": 51142,
+  "[XXXXX605]": 50707,
+  "[XXXXX606]": 50937,
+  "[XXXXX607]": 50875,
+  "[XXXXX608]": 50564,
+  "[XXXXX609]": 50345,
+  "[XXXXX60]": 50713,
+  "[XXXXX610]": 50949,
+  "[XXXXX611]": 50978,
+  "[XXXXX612]": 50330,
+  "[XXXXX613]": 51035,
+  "[XXXXX614]": 50402,
+  "[XXXXX615]": 50176,
+  "[XXXXX616]": 51133,
+  "[XXXXX617]": 50222,
+  "[XXXXX618]": 50118,
+  "[XXXXX619]": 50196,
+  "[XXXXX61]": 50298,
+  "[XXXXX620]": 50668,
+  "[XXXXX621]": 50462,
+  "[XXXXX622]": 50218,
+  "[XXXXX623]": 51101,
+  "[XXXXX624]": 50362,
+  "[XXXXX625]": 50779,
+  "[XXXXX626]": 50513,
+  "[XXXXX627]": 50746,
+  "[XXXXX628]": 50141,
+  "[XXXXX629]": 50479,
+  "[XXXXX62]": 50056,
+  "[XXXXX630]": 51180,
+  "[XXXXX631]": 50872,
+  "[XXXXX632]": 50315,
+  "[XXXXX633]": 50397,
+  "[XXXXX634]": 51165,
+  "[XXXXX635]": 50046,
+  "[XXXXX636]": 50795,
+  "[XXXXX637]": 50959,
+  "[XXXXX638]": 50786,
+  "[XXXXX639]": 50240,
+  "[XXXXX63]": 51061,
+  "[XXXXX640]": 50601,
+  "[XXXXX641]": 50904,
+  "[XXXXX642]": 50376,
+  "[XXXXX643]": 50663,
+  "[XXXXX644]": 50613,
+  "[XXXXX645]": 50467,
+  "[XXXXX646]": 50546,
+  "[XXXXX647]": 50465,
+  "[XXXXX648]": 50395,
+  "[XXXXX649]": 50287,
+  "[XXXXX64]": 51162,
+  "[XXXXX650]": 50474,
+  "[XXXXX651]": 50727,
+  "[XXXXX652]": 50243,
+  "[XXXXX653]": 51100,
+  "[XXXXX654]": 50705,
+  "[XXXXX655]": 51012,
+  "[XXXXX656]": 50447,
+  "[XXXXX657]": 50719,
+  "[XXXXX658]": 50712,
+  "[XXXXX659]": 50476,
+  "[XXXXX65]": 50587,
+  "[XXXXX660]": 51054,
+  "[XXXXX661]": 51166,
+  "[XXXXX662]": 50494,
+  "[XXXXX663]": 50230,
+  "[XXXXX664]": 50621,
+  "[XXXXX665]": 50809,
+  "[XXXXX666]": 50265,
+  "[XXXXX667]": 50645,
+  "[XXXXX668]": 50817,
+  "[XXXXX669]": 50030,
+  "[XXXXX66]": 51029,
+  "[XXXXX670]": 51004,
+  "[XXXXX671]": 50685,
+  "[XXXXX672]": 50625,
+  "[XXXXX673]": 50890,
+  "[XXXXX674]": 50383,
+  "[XXXXX675]": 50929,
+  "[XXXXX676]": 50116,
+  "[XXXXX677]": 51072,
+  "[XXXXX678]": 51126,
+  "[XXXXX679]": 50755,
+  "[XXXXX67]": 50717,
+  "[XXXXX680]": 50303,
+  "[XXXXX681]": 50504,
+  "[XXXXX682]": 51075,
+  "[XXXXX683]": 50261,
+  "[XXXXX684]": 50861,
+  "[XXXXX685]": 50306,
+  "[XXXXX686]": 50016,
+  "[XXXXX687]": 50101,
+  "[XXXXX688]": 51098,
+  "[XXXXX689]": 50827,
+  "[XXXXX68]": 50863,
+  "[XXXXX690]": 50640,
+  "[XXXXX691]": 50031,
+  "[XXXXX692]": 50768,
+  "[XXXXX693]": 50013,
+  "[XXXXX694]": 51032,
+  "[XXXXX695]": 50166,
+  "[XXXXX696]": 50127,
+  "[XXXXX697]": 50414,
+  "[XXXXX698]": 50742,
+  "[XXXXX699]": 51042,
+  "[XXXXX69]": 51112,
+  "[XXXXX6]": 50593,
+  "[XXXXX700]": 50292,
+  "[XXXXX701]": 50174,
+  "[XXXXX702]": 50547,
+  "[XXXXX703]": 50498,
+  "[XXXXX704]": 51078,
+  "[XXXXX705]": 50133,
+  "[XXXXX706]": 50041,
+  "[XXXXX707]": 51181,
+  "[XXXXX708]": 50585,
+  "[XXXXX709]": 50776,
+  "[XXXXX70]": 50053,
+  "[XXXXX710]": 50336,
+  "[XXXXX711]": 50765,
+  "[XXXXX712]": 50224,
+  "[XXXXX713]": 50599,
+  "[XXXXX714]": 50207,
+  "[XXXXX715]": 51043,
+  "[XXXXX716]": 51090,
+  "[XXXXX717]": 50006,
+  "[XXXXX718]": 50901,
+  "[XXXXX719]": 51001,
+  "[XXXXX71]": 50954,
+  "[XXXXX720]": 50646,
+  "[XXXXX721]": 50075,
+  "[XXXXX722]": 51120,
+  "[XXXXX723]": 50215,
+  "[XXXXX724]": 50415,
+  "[XXXXX725]": 50154,
+  "[XXXXX726]": 50935,
+  "[XXXXX727]": 50545,
+  "[XXXXX728]": 51085,
+  "[XXXXX729]": 50256,
+  "[XXXXX72]": 50363,
+  "[XXXXX730]": 50700,
+  "[XXXXX731]": 50262,
+  "[XXXXX732]": 50930,
+  "[XXXXX733]": 50333,
+  "[XXXXX734]": 50884,
+  "[XXXXX735]": 51030,
+  "[XXXXX736]": 50231,
+  "[XXXXX737]": 50405,
+  "[XXXXX738]": 50962,
+  "[XXXXX739]": 50458,
+  "[XXXXX73]": 50019,
+  "[XXXXX740]": 50878,
+  "[XXXXX741]": 50910,
+  "[XXXXX742]": 50170,
+  "[XXXXX743]": 50718,
+  "[XXXXX744]": 50616,
+  "[XXXXX745]": 50358,
+  "[XXXXX746]": 50152,
+  "[XXXXX747]": 50525,
+  "[XXXXX748]": 51167,
+  "[XXXXX749]": 50653,
+  "[XXXXX74]": 50952,
+  "[XXXXX750]": 50500,
+  "[XXXXX751]": 50446,
+  "[XXXXX752]": 50995,
+  "[XXXXX753]": 50945,
+  "[XXXXX754]": 51173,
+  "[XXXXX755]": 50823,
+  "[XXXXX756]": 51060,
+  "[XXXXX757]": 50748,
+  "[XXXXX758]": 50020,
+  "[XXXXX759]": 50197,
+  "[XXXXX75]": 50502,
+  "[XXXXX760]": 50291,
+  "[XXXXX761]": 50821,
+  "[XXXXX762]": 50190,
+  "[XXXXX763]": 50745,
+  "[XXXXX764]": 50778,
+  "[XXXXX765]": 50556,
+  "[XXXXX766]": 51161,
+  "[XXXXX767]": 50466,
+  "[XXXXX768]": 50792,
+  "[XXXXX769]": 50208,
+  "[XXXXX76]": 50169,
+  "[XXXXX770]": 50647,
+  "[XXXXX771]": 50610,
+  "[XXXXX772]": 51140,
+  "[XXXXX773]": 50441,
+  "[XXXXX774]": 50870,
+  "[XXXXX775]": 50368,
+  "[XXXXX776]": 50026,
+  "[XXXXX777]": 50677,
+  "[XXXXX778]": 51168,
+  "[XXXXX779]": 50481,
+  "[XXXXX77]": 50515,
+  "[XXXXX780]": 50225,
+  "[XXXXX781]": 50408,
+  "[XXXXX782]": 50090,
+  "[XXXXX783]": 50951,
+  "[XXXXX784]": 50015,
+  "[XXXXX785]": 50658,
+  "[XXXXX786]": 50617,
+  "[XXXXX787]": 50721,
+  "[XXXXX788]": 51084,
+  "[XXXXX789]": 50830,
+  "[XXXXX78]": 50100,
+  "[XXXXX790]": 50606,
+  "[XXXXX791]": 50124,
+  "[XXXXX792]": 50078,
+  "[XXXXX793]": 51188,
+  "[XXXXX794]": 50750,
+  "[XXXXX795]": 50138,
+  "[XXXXX796]": 50239,
+  "[XXXXX797]": 50385,
+  "[XXXXX798]": 50780,
+  "[XXXXX799]": 50683,
+  "[XXXXX79]": 50436,
+  "[XXXXX7]": 50211,
+  "[XXXXX800]": 51185,
+  "[XXXXX801]": 50250,
+  "[XXXXX802]": 50456,
+  "[XXXXX803]": 50508,
+  "[XXXXX804]": 51194,
+  "[XXXXX805]": 50021,
+  "[XXXXX806]": 50307,
+  "[XXXXX807]": 50199,
+  "[XXXXX808]": 51129,
+  "[XXXXX809]": 50686,
+  "[XXXXX80]": 50370,
+  "[XXXXX810]": 50343,
+  "[XXXXX811]": 50614,
+  "[XXXXX812]": 50636,
+  "[XXXXX813]": 51198,
+  "[XXXXX814]": 50788,
+  "[XXXXX815]": 50120,
+  "[XXXXX816]": 50135,
+  "[XXXXX817]": 50293,
+  "[XXXXX818]": 50153,
+  "[XXXXX819]": 50516,
+  "[XXXXX81]": 50581,
+  "[XXXXX820]": 50586,
+  "[XXXXX821]": 50509,
+  "[XXXXX822]": 50220,
+  "[XXXXX823]": 51068,
+  "[XXXXX824]": 50946,
+  "[XXXXX825]": 50965,
+  "[XXXXX826]": 50032,
+  "[XXXXX827]": 50156,
+  "[XXXXX828]": 50449,
+  "[XXXXX829]": 50531,
+  "[XXXXX82]": 51164,
+  "[XXXXX830]": 50486,
+  "[XXXXX831]": 50357,
+  "[XXXXX832]": 51022,
+  "[XXXXX833]": 50633,
+  "[XXXXX834]": 50754,
+  "[XXXXX835]": 51134,
+  "[XXXXX836]": 50193,
+  "[XXXXX837]": 51088,
+  "[XXXXX838]": 50722,
+  "[XXXXX839]": 50756,
+  "[XXXXX83]": 50977,
+  "[XXXXX840]": 50022,
+  "[XXXXX841]": 51186,
+  "[XXXXX842]": 50575,
+  "[XXXXX843]": 50079,
+  "[XXXXX844]": 50644,
+  "[XXXXX845]": 51033,
+  "[XXXXX846]": 50454,
+  "[XXXXX847]": 50095,
+  "[XXXXX848]": 50902,
+  "[XXXXX849]": 50597,
+  "[XXXXX84]": 50167,
+  "[XXXXX850]": 51051,
+  "[XXXXX851]": 50696,
+  "[XXXXX852]": 50966,
+  "[XXXXX853]": 50034,
+  "[XXXXX854]": 50889,
+  "[XXXXX855]": 50843,
+  "[XXXXX856]": 50963,
+  "[XXXXX857]": 50227,
+  "[XXXXX858]": 51058,
+  "[XXXXX859]": 50850,
+  "[XXXXX85]": 50192,
+  "[XXXXX860]": 50228,
+  "[XXXXX861]": 50570,
+  "[XXXXX862]": 50488,
+  "[XXXXX863]": 50539,
+  "[XXXXX864]": 51182,
+  "[XXXXX865]": 50990,
+  "[XXXXX866]": 50542,
+  "[XXXXX867]": 51069,
+  "[XXXXX868]": 50480,
+  "[XXXXX869]": 50847,
+  "[XXXXX86]": 50874,
+  "[XXXXX870]": 50308,
+  "[XXXXX871]": 50510,
+  "[XXXXX872]": 50423,
+  "[XXXXX873]": 50086,
+  "[XXXXX874]": 50591,
+  "[XXXXX875]": 50728,
+  "[XXXXX876]": 50372,
+  "[XXXXX877]": 50903,
+  "[XXXXX878]": 50868,
+  "[XXXXX879]": 50763,
+  "[XXXXX87]": 50571,
+  "[XXXXX880]": 50096,
+  "[XXXXX881]": 51150,
+  "[XXXXX882]": 50460,
+  "[XXXXX883]": 51087,
+  "[XXXXX884]": 51093,
+  "[XXXXX885]": 50295,
+  "[XXXXX886]": 51037,
+  "[XXXXX887]": 51171,
+  "[XXXXX888]": 50794,
+  "[XXXXX889]": 50628,
+  "[XXXXX88]": 50520,
+  "[XXXXX890]": 51172,
+  "[XXXXX891]": 51046,
+  "[XXXXX892]": 50918,
+  "[XXXXX893]": 50998,
+  "[XXXXX894]": 50371,
+  "[XXXXX895]": 51155,
+  "[XXXXX896]": 50866,
+  "[XXXXX897]": 50229,
+  "[XXXXX898]": 51057,
+  "[XXXXX899]": 50867,
+  "[XXXXX89]": 50537,
+  "[XXXXX8]": 50784,
+  "[XXXXX900]": 50739,
+  "[XXXXX901]": 51080,
+  "[XXXXX902]": 50038,
+  "[XXXXX903]": 50321,
+  "[XXXXX904]": 50774,
+  "[XXXXX905]": 50974,
+  "[XXXXX906]": 50920,
+  "[XXXXX907]": 50469,
+  "[XXXXX908]": 51122,
+  "[XXXXX909]": 51092,
+  "[XXXXX90]": 50514,
+  "[XXXXX910]": 50798,
+  "[XXXXX911]": 50245,
+  "[XXXXX912]": 50367,
+  "[XXXXX913]": 50618,
+  "[XXXXX914]": 50072,
+  "[XXXXX915]": 50450,
+  "[XXXXX916]": 51189,
+  "[XXXXX917]": 50485,
+  "[XXXXX918]": 50283,
+  "[XXXXX919]": 50845,
+  "[XXXXX91]": 50968,
+  "[XXXXX920]": 50429,
+  "[XXXXX921]": 50364,
+  "[XXXXX922]": 50782,
+  "[XXXXX923]": 50534,
+  "[XXXXX924]": 50059,
+  "[XXXXX925]": 50102,
+  "[XXXXX926]": 50185,
+  "[XXXXX927]": 50634,
+  "[XXXXX928]": 50567,
+  "[XXXXX929]": 50895,
+  "[XXXXX92]": 50210,
+  "[XXXXX930]": 50561,
+  "[XXXXX931]": 51021,
+  "[XXXXX932]": 50107,
+  "[XXXXX933]": 50407,
+  "[XXXXX934]": 50654,
+  "[XXXXX935]": 50268,
+  "[XXXXX936]": 51153,
+  "[XXXXX937]": 50552,
+  "[XXXXX938]": 50526,
+  "[XXXXX939]": 50322,
+  "[XXXXX93]": 50912,
+  "[XXXXX940]": 50296,
+  "[XXXXX941]": 50572,
+  "[XXXXX942]": 50393,
+  "[XXXXX943]": 50312,
+  "[XXXXX944]": 50592,
+  "[XXXXX945]": 50982,
+  "[XXXXX946]": 50089,
+  "[XXXXX947]": 50331,
+  "[XXXXX948]": 50279,
+  "[XXXXX949]": 51005,
+  "[XXXXX94]": 50198,
+  "[XXXXX950]": 50114,
+  "[XXXXX951]": 50074,
+  "[XXXXX952]": 50248,
+  "[XXXXX953]": 50857,
+  "[XXXXX954]": 50841,
+  "[XXXXX955]": 51065,
+  "[XXXXX956]": 50234,
+  "[XXXXX957]": 50834,
+  "[XXXXX958]": 50535,
+  "[XXXXX959]": 51109,
+  "[XXXXX95]": 50651,
+  "[XXXXX960]": 50797,
+  "[XXXXX961]": 50914,
+  "[XXXXX962]": 50112,
+  "[XXXXX963]": 50073,
+  "[XXXXX964]": 50559,
+  "[XXXXX965]": 50933,
+  "[XXXXX966]": 50619,
+  "[XXXXX967]": 51187,
+  "[XXXXX968]": 50327,
+  "[XXXXX969]": 50698,
+  "[XXXXX96]": 50420,
+  "[XXXXX970]": 50060,
+  "[XXXXX971]": 50432,
+  "[XXXXX972]": 50620,
+  "[XXXXX973]": 50693,
+  "[XXXXX974]": 50938,
+  "[XXXXX975]": 50983,
+  "[XXXXX976]": 50334,
+  "[XXXXX977]": 50438,
+  "[XXXXX978]": 51154,
+  "[XXXXX979]": 50964,
+  "[XXXXX97]": 50672,
+  "[XXXXX980]": 50511,
+  "[XXXXX981]": 50244,
+  "[XXXXX982]": 50266,
+  "[XXXXX983]": 50134,
+  "[XXXXX984]": 50338,
+  "[XXXXX985]": 51121,
+  "[XXXXX986]": 50323,
+  "[XXXXX987]": 50909,
+  "[XXXXX988]": 51000,
+  "[XXXXX989]": 50036,
+  "[XXXXX98]": 50787,
+  "[XXXXX990]": 50512,
+  "[XXXXX991]": 50191,
+  "[XXXXX992]": 50187,
+  "[XXXXX993]": 51156,
+  "[XXXXX994]": 51135,
+  "[XXXXX995]": 50355,
+  "[XXXXX996]": 51027,
+  "[XXXXX997]": 50297,
+  "[XXXXX998]": 50928,
+  "[XXXXX999]": 50697,
+  "[XXXXX99]": 50980,
+  "[XXXXX9]": 50961
+}
diff --git a/checkpoint-500/config.json b/checkpoint-500/config.json
new file mode 100644
index 0000000..000c292
--- /dev/null
+++ b/checkpoint-500/config.json
@@ -0,0 +1,34 @@
+{
+  "activation_function": "gelu",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50000,
+  "dtype": "bfloat16",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50001,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 512,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": 3072,
+  "n_layer": 12,
+  "n_positions": 512,
+  "pad_token_id": 50002,
+  "prefix": "[CLS]",
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "vocab_size": 51200
+}
diff --git a/checkpoint-500/generation_config.json b/checkpoint-500/generation_config.json
new file mode 100644
index 0000000..4c122f0
--- /dev/null
+++ b/checkpoint-500/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50000,
+  "eos_token_id": [
+    50001
+  ],
+  "pad_token_id": 50002,
+  "transformers_version": "4.56.2"
+}
diff --git a/checkpoint-500/model.safetensors b/checkpoint-500/model.safetensors
new file mode 100644
index 0000000..248dc27
--- /dev/null
+++ b/checkpoint-500/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2a1ef5967c9379de91ac5a29d7b5150362375273f4e9bdbf9feaf91cf858c8f8
+size 249556672
diff --git a/checkpoint-500/rng_state.pth b/checkpoint-500/rng_state.pth
new file mode 100644
index 0000000..2b35161
--- /dev/null
+++ b/checkpoint-500/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:13cc161637cad7d70df84bd12f1afbf6d9c1804ed22c2082542ebabd11c98720
+size 14645
diff --git a/checkpoint-500/special_tokens_map.json b/checkpoint-500/special_tokens_map.json
new file mode 100644
index 0000000..c78a835
--- /dev/null
+++ b/checkpoint-500/special_tokens_map.json
@@ -0,0 +1,1249 @@
+{
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/checkpoint-500/spiece.model b/checkpoint-500/spiece.model
new file mode 100644
index 0000000..85d6e93
--- /dev/null
+++ b/checkpoint-500/spiece.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:762a1e078899c6ba7ef62ef873a57b860c51cc0518791854659b58b4c89742fe
+size 1170764
diff --git a/checkpoint-500/tokenizer_config.json b/checkpoint-500/tokenizer_config.json
new file mode 100644
index 0000000..b27d01f
--- /dev/null
+++ b/checkpoint-500/tokenizer_config.json
@@ -0,0 +1,10825 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50000": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50001": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50002": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50003": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50004": {
+      "content": "[XXXXX160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50005": {
+      "content": "[XXXXX240]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50006": {
+      "content": "[XXXXX717]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50007": {
+      "content": "[XXXXX23]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50008": {
+      "content": "[XXXXX161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50009": {
+      "content": "[XXXXX1156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50010": {
+      "content": "[XXXXX5]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50011": {
+      "content": "[XXXXX597]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50012": {
+      "content": "[XXXXX415]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50013": {
+      "content": "[XXXXX693]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50014": {
+      "content": "[XXXXX1083]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50015": {
+      "content": "[XXXXX784]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50016": {
+      "content": "[XXXXX686]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50017": {
+      "content": "[XXXXX379]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50018": {
+      "content": "[XXXXX335]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50019": {
+      "content": "[XXXXX73]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50020": {
+      "content": "[XXXXX758]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50021": {
+      "content": "[XXXXX805]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50022": {
+      "content": "[XXXXX840]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50023": {
+      "content": "[XXXXX1037]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50024": {
+      "content": "[XXXXX235]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50025": {
+      "content": "[XXXXX1107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50026": {
+      "content": "[XXXXX776]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50027": {
+      "content": "[XXXXX286]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50028": {
+      "content": "[XXXXX396]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50029": {
+      "content": "[XXXXX478]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50030": {
+      "content": "[XXXXX669]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50031": {
+      "content": "[XXXXX691]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50032": {
+      "content": "[XXXXX826]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50033": {
+      "content": "[XXXXX1150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50034": {
+      "content": "[XXXXX853]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50035": {
+      "content": "[XXXXX130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50036": {
+      "content": "[XXXXX989]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50037": {
+      "content": "[XXXXX249]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50038": {
+      "content": "[XXXXX902]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50039": {
+      "content": "[XXXXX1169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50040": {
+      "content": "[XXXXX260]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50041": {
+      "content": "[XXXXX706]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50042": {
+      "content": "[XXXXX146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50043": {
+      "content": "[XXXXX198]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50044": {
+      "content": "[XXXXX303]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50045": {
+      "content": "[XXXXX1192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50046": {
+      "content": "[XXXXX635]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50047": {
+      "content": "[XXXXX271]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50048": {
+      "content": "[XXXXX1023]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50049": {
+      "content": "[XXXXX602]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50050": {
+      "content": "[XXXXX291]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50051": {
+      "content": "[XXXXX190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50052": {
+      "content": "[XXXXX1055]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50053": {
+      "content": "[XXXXX70]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50054": {
+      "content": "[XXXXX178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50055": {
+      "content": "[XXXXX318]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50056": {
+      "content": "[XXXXX62]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50057": {
+      "content": "[XXXXX473]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50058": {
+      "content": "[XXXXX517]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50059": {
+      "content": "[XXXXX924]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50060": {
+      "content": "[XXXXX970]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50061": {
+      "content": "[XXXXX1033]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50062": {
+      "content": "[XXXXX110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50063": {
+      "content": "[XXXXX1151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50064": {
+      "content": "[XXXXX1189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50065": {
+      "content": "[XXXXX1095]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50066": {
+      "content": "[XXXXX148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50067": {
+      "content": "[XXXXX337]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50068": {
+      "content": "[XXXXX245]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50069": {
+      "content": "[XXXXX407]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50070": {
+      "content": "[XXXXX557]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50071": {
+      "content": "[XXXXX576]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50072": {
+      "content": "[XXXXX914]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50073": {
+      "content": "[XXXXX963]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50074": {
+      "content": "[XXXXX951]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50075": {
+      "content": "[XXXXX721]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50076": {
+      "content": "[XXXXX1174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50077": {
+      "content": "[XXXXX3]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50078": {
+      "content": "[XXXXX792]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50079": {
+      "content": "[XXXXX843]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50080": {
+      "content": "[XXXXX590]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50081": {
+      "content": "[XXXXX118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50082": {
+      "content": "[XXXXX280]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50083": {
+      "content": "[XXXXX1119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50084": {
+      "content": "[XXXXX1025]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50085": {
+      "content": "[XXXXX140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50086": {
+      "content": "[XXXXX873]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50087": {
+      "content": "[XXXXX103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50088": {
+      "content": "[XXXXX307]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50089": {
+      "content": "[XXXXX946]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50090": {
+      "content": "[XXXXX782]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50091": {
+      "content": "[XXXXX100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50092": {
+      "content": "[XXXXX485]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50093": {
+      "content": "[XXXXX151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50094": {
+      "content": "[XXXXX213]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50095": {
+      "content": "[XXXXX847]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50096": {
+      "content": "[XXXXX880]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50097": {
+      "content": "[XXXXX44]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50098": {
+      "content": "[XXXXX1031]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50099": {
+      "content": "[XXXXX545]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50100": {
+      "content": "[XXXXX78]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50101": {
+      "content": "[XXXXX687]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50102": {
+      "content": "[XXXXX925]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50103": {
+      "content": "[XXXXX519]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50104": {
+      "content": "[XXXXX1191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50105": {
+      "content": "[XXXXX13]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50106": {
+      "content": "[XXXXX487]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50107": {
+      "content": "[XXXXX932]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50108": {
+      "content": "[XXXXX119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50109": {
+      "content": "[XXXXX170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50110": {
+      "content": "[XXXXX254]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50111": {
+      "content": "[XXXXX420]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50112": {
+      "content": "[XXXXX962]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50113": {
+      "content": "[XXXXX441]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50114": {
+      "content": "[XXXXX950]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50115": {
+      "content": "[XXXXX18]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50116": {
+      "content": "[XXXXX676]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50117": {
+      "content": "[XXXXX1133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50118": {
+      "content": "[XXXXX618]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50119": {
+      "content": "[XXXXX374]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50120": {
+      "content": "[XXXXX815]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50121": {
+      "content": "[XXXXX1058]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50122": {
+      "content": "[XXXXX1108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50123": {
+      "content": "[XXXXX1144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50124": {
+      "content": "[XXXXX791]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50125": {
+      "content": "[XXXXX259]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50126": {
+      "content": "[XXXXX1074]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50127": {
+      "content": "[XXXXX696]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50128": {
+      "content": "[XXXXX1168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50129": {
+      "content": "[XXXXX592]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50130": {
+      "content": "[XXXXX127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50131": {
+      "content": "[XXXXX136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50132": {
+      "content": "[XXXXX237]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50133": {
+      "content": "[XXXXX705]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50134": {
+      "content": "[XXXXX983]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50135": {
+      "content": "[XXXXX816]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50136": {
+      "content": "[XXXXX412]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50137": {
+      "content": "[XXXXX410]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50138": {
+      "content": "[XXXXX795]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50139": {
+      "content": "[XXXXX101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50140": {
+      "content": "[XXXXX171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50141": {
+      "content": "[XXXXX628]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50142": {
+      "content": "[XXXXX1038]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50143": {
+      "content": "[XXXXX447]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50144": {
+      "content": "[XXXXX1043]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50145": {
+      "content": "[XXXXX147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50146": {
+      "content": "[XXXXX1112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50147": {
+      "content": "[XXXXX186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50148": {
+      "content": "[XXXXX461]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50149": {
+      "content": "[XXXXX423]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50150": {
+      "content": "[XXXXX26]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50151": {
+      "content": "[XXXXX227]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50152": {
+      "content": "[XXXXX746]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50153": {
+      "content": "[XXXXX818]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50154": {
+      "content": "[XXXXX725]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50155": {
+      "content": "[XXXXX400]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50156": {
+      "content": "[XXXXX827]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50157": {
+      "content": "[XXXXX1020]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50158": {
+      "content": "[XXXXX1060]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50159": {
+      "content": "[XXXXX195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50160": {
+      "content": "[XXXXX526]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50161": {
+      "content": "[XXXXX570]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50162": {
+      "content": "[XXXXX174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50163": {
+      "content": "[XXXXX333]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50164": {
+      "content": "[XXXXX466]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50165": {
+      "content": "[XXXXX513]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50166": {
+      "content": "[XXXXX695]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50167": {
+      "content": "[XXXXX84]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50168": {
+      "content": "[XXXXX1080]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50169": {
+      "content": "[XXXXX76]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50170": {
+      "content": "[XXXXX742]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50171": {
+      "content": "[XXXXX1008]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50172": {
+      "content": "[XXXXX1123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50173": {
+      "content": "[XXXXX1145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50174": {
+      "content": "[XXXXX701]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50175": {
+      "content": "[XXXXX562]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50176": {
+      "content": "[XXXXX615]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50177": {
+      "content": "[XXXXX389]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50178": {
+      "content": "[XXXXX267]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50179": {
+      "content": "[XXXXX323]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50180": {
+      "content": "[XXXXX346]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50181": {
+      "content": "[XXXXX287]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50182": {
+      "content": "[XXXXX469]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50183": {
+      "content": "[XXXXX58]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50184": {
+      "content": "[XXXXX431]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50185": {
+      "content": "[XXXXX926]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50186": {
+      "content": "[XXXXX1182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50187": {
+      "content": "[XXXXX992]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50188": {
+      "content": "[XXXXX185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50189": {
+      "content": "[XXXXX352]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50190": {
+      "content": "[XXXXX762]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50191": {
+      "content": "[XXXXX991]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50192": {
+      "content": "[XXXXX85]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50193": {
+      "content": "[XXXXX836]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50194": {
+      "content": "[XXXXX460]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50195": {
+      "content": "[XXXXX272]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50196": {
+      "content": "[XXXXX619]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50197": {
+      "content": "[XXXXX759]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50198": {
+      "content": "[XXXXX94]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50199": {
+      "content": "[XXXXX807]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50200": {
+      "content": "[XXXXX299]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50201": {
+      "content": "[XXXXX187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50202": {
+      "content": "[XXXXX486]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50203": {
+      "content": "[XXXXX45]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50204": {
+      "content": "[XXXXX1036]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50205": {
+      "content": "[XXXXX354]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50206": {
+      "content": "[XXXXX386]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50207": {
+      "content": "[XXXXX714]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50208": {
+      "content": "[XXXXX769]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50209": {
+      "content": "[XXXXX304]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50210": {
+      "content": "[XXXXX92]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50211": {
+      "content": "[XXXXX7]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50212": {
+      "content": "[XXXXX31]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50213": {
+      "content": "[XXXXX102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50214": {
+      "content": "[XXXXX163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50215": {
+      "content": "[XXXXX723]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50216": {
+      "content": "[XXXXX1042]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50217": {
+      "content": "[XXXXX452]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50218": {
+      "content": "[XXXXX622]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50219": {
+      "content": "[XXXXX1056]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50220": {
+      "content": "[XXXXX822]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50221": {
+      "content": "[XXXXX125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50222": {
+      "content": "[XXXXX617]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50223": {
+      "content": "[XXXXX34]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50224": {
+      "content": "[XXXXX712]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50225": {
+      "content": "[XXXXX780]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50226": {
+      "content": "[XXXXX547]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50227": {
+      "content": "[XXXXX857]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50228": {
+      "content": "[XXXXX860]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50229": {
+      "content": "[XXXXX897]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50230": {
+      "content": "[XXXXX663]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50231": {
+      "content": "[XXXXX736]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50232": {
+      "content": "[XXXXX202]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50233": {
+      "content": "[XXXXX1029]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50234": {
+      "content": "[XXXXX956]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50235": {
+      "content": "[XXXXX397]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50236": {
+      "content": "[XXXXX239]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50237": {
+      "content": "[XXXXX472]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50238": {
+      "content": "[XXXXX230]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50239": {
+      "content": "[XXXXX796]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50240": {
+      "content": "[XXXXX639]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50241": {
+      "content": "[XXXXX203]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50242": {
+      "content": "[XXXXX231]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50243": {
+      "content": "[XXXXX652]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50244": {
+      "content": "[XXXXX981]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50245": {
+      "content": "[XXXXX911]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50246": {
+      "content": "[XXXXX380]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50247": {
+      "content": "[XXXXX477]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50248": {
+      "content": "[XXXXX952]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50249": {
+      "content": "[XXXXX28]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50250": {
+      "content": "[XXXXX801]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50251": {
+      "content": "[XXXXX1134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50252": {
+      "content": "[XXXXX1176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50253": {
+      "content": "[XXXXX180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50254": {
+      "content": "[XXXXX598]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50255": {
+      "content": "[XXXXX365]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50256": {
+      "content": "[XXXXX729]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50257": {
+      "content": "[XXXXX214]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50258": {
+      "content": "[XXXXX1117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50259": {
+      "content": "[XXXXX278]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50260": {
+      "content": "[XXXXX522]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50261": {
+      "content": "[XXXXX683]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50262": {
+      "content": "[XXXXX731]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50263": {
+      "content": "[XXXXX312]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "[XXXXX1178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50265": {
+      "content": "[XXXXX666]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50266": {
+      "content": "[XXXXX982]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50267": {
+      "content": "[XXXXX414]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50268": {
+      "content": "[XXXXX935]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50269": {
+      "content": "[XXXXX1089]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50270": {
+      "content": "[XXXXX236]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50271": {
+      "content": "[XXXXX463]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50272": {
+      "content": "[XXXXX52]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50273": {
+      "content": "[XXXXX593]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50274": {
+      "content": "[XXXXX508]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50275": {
+      "content": "[XXXXX1125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50276": {
+      "content": "[XXXXX462]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50277": {
+      "content": "[XXXXX32]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50278": {
+      "content": "[XXXXX596]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50279": {
+      "content": "[XXXXX948]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50280": {
+      "content": "[XXXXX150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50281": {
+      "content": "[XXXXX322]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50282": {
+      "content": "[XXXXX390]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50283": {
+      "content": "[XXXXX918]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50284": {
+      "content": "[XXXXX157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50285": {
+      "content": "[XXXXX310]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50286": {
+      "content": "[XXXXX392]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50287": {
+      "content": "[XXXXX649]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50288": {
+      "content": "[XXXXX158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50289": {
+      "content": "[XXXXX430]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50290": {
+      "content": "[XXXXX384]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50291": {
+      "content": "[XXXXX760]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50292": {
+      "content": "[XXXXX700]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50293": {
+      "content": "[XXXXX817]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50294": {
+      "content": "[XXXXX115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50295": {
+      "content": "[XXXXX885]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50296": {
+      "content": "[XXXXX940]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50297": {
+      "content": "[XXXXX997]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50298": {
+      "content": "[XXXXX61]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50299": {
+      "content": "[XXXXX209]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50300": {
+      "content": "[XXXXX316]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50301": {
+      "content": "[XXXXX537]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50302": {
+      "content": "[XXXXX599]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50303": {
+      "content": "[XXXXX680]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50304": {
+      "content": "[XXXXX135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50305": {
+      "content": "[XXXXX39]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50306": {
+      "content": "[XXXXX685]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50307": {
+      "content": "[XXXXX806]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50308": {
+      "content": "[XXXXX870]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50309": {
+      "content": "[XXXXX1096]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50310": {
+      "content": "[XXXXX366]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50311": {
+      "content": "[XXXXX509]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50312": {
+      "content": "[XXXXX943]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50313": {
+      "content": "[XXXXX292]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50314": {
+      "content": "[XXXXX367]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50315": {
+      "content": "[XXXXX632]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50316": {
+      "content": "[XXXXX1136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50317": {
+      "content": "[XXXXX156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50318": {
+      "content": "[XXXXX1100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50319": {
+      "content": "[XXXXX432]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50320": {
+      "content": "[XXXXX514]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50321": {
+      "content": "[XXXXX903]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50322": {
+      "content": "[XXXXX939]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50323": {
+      "content": "[XXXXX986]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50324": {
+      "content": "[XXXXX506]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50325": {
+      "content": "[XXXXX10]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50326": {
+      "content": "[XXXXX573]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50327": {
+      "content": "[XXXXX968]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50328": {
+      "content": "[XXXXX1039]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50329": {
+      "content": "[XXXXX252]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50330": {
+      "content": "[XXXXX612]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50331": {
+      "content": "[XXXXX947]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50332": {
+      "content": "[XXXXX1162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50333": {
+      "content": "[XXXXX733]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50334": {
+      "content": "[XXXXX976]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50335": {
+      "content": "[XXXXX535]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50336": {
+      "content": "[XXXXX710]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50337": {
+      "content": "[XXXXX40]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50338": {
+      "content": "[XXXXX984]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50339": {
+      "content": "[XXXXX584]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50340": {
+      "content": "[XXXXX132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50341": {
+      "content": "[XXXXX1084]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50342": {
+      "content": "[XXXXX549]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50343": {
+      "content": "[XXXXX810]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50344": {
+      "content": "[XXXXX208]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50345": {
+      "content": "[XXXXX609]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50346": {
+      "content": "[XXXXX275]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50347": {
+      "content": "[XXXXX262]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50348": {
+      "content": "[XXXXX331]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50349": {
+      "content": "[XXXXX361]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50350": {
+      "content": "[XXXXX561]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50351": {
+      "content": "[XXXXX143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50352": {
+      "content": "[XXXXX1061]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50353": {
+      "content": "[XXXXX59]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50354": {
+      "content": "[XXXXX21]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50355": {
+      "content": "[XXXXX995]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50356": {
+      "content": "[XXXXX439]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50357": {
+      "content": "[XXXXX831]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50358": {
+      "content": "[XXXXX745]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50359": {
+      "content": "[XXXXX43]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50360": {
+      "content": "[XXXXX498]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50361": {
+      "content": "[XXXXX575]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50362": {
+      "content": "[XXXXX624]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50363": {
+      "content": "[XXXXX72]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50364": {
+      "content": "[XXXXX921]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50365": {
+      "content": "[XXXXX201]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50366": {
+      "content": "[XXXXX1171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50367": {
+      "content": "[XXXXX912]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50368": {
+      "content": "[XXXXX775]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50369": {
+      "content": "[XXXXX1094]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50370": {
+      "content": "[XXXXX80]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50371": {
+      "content": "[XXXXX894]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50372": {
+      "content": "[XXXXX876]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50373": {
+      "content": "[XXXXX1143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50374": {
+      "content": "[XXXXX355]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50375": {
+      "content": "[XXXXX450]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50376": {
+      "content": "[XXXXX642]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50377": {
+      "content": "[XXXXX162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50378": {
+      "content": "[XXXXX394]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50379": {
+      "content": "[XXXXX296]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50380": {
+      "content": "[XXXXX536]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50381": {
+      "content": "[XXXXX560]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50382": {
+      "content": "[XXXXX373]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50383": {
+      "content": "[XXXXX674]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50384": {
+      "content": "[XXXXX1099]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50385": {
+      "content": "[XXXXX797]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50386": {
+      "content": "[XXXXX516]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50387": {
+      "content": "[XXXXX41]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50388": {
+      "content": "[XXXXX594]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50389": {
+      "content": "[XXXXX319]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50390": {
+      "content": "[XXXXX165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50391": {
+      "content": "[XXXXX344]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50392": {
+      "content": "[XXXXX1012]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50393": {
+      "content": "[XXXXX942]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50394": {
+      "content": "[XXXXX1071]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50395": {
+      "content": "[XXXXX648]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50396": {
+      "content": "[XXXXX4]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50397": {
+      "content": "[XXXXX633]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50398": {
+      "content": "[XXXXX551]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50399": {
+      "content": "[XXXXX586]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50400": {
+      "content": "[XXXXX578]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50401": {
+      "content": "[XXXXX348]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50402": {
+      "content": "[XXXXX614]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50403": {
+      "content": "[XXXXX33]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50404": {
+      "content": "[XXXXX1193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50405": {
+      "content": "[XXXXX737]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50406": {
+      "content": "[XXXXX233]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50407": {
+      "content": "[XXXXX933]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50408": {
+      "content": "[XXXXX781]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50409": {
+      "content": "[XXXXX189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50410": {
+      "content": "[XXXXX1006]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50411": {
+      "content": "[XXXXX219]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50412": {
+      "content": "[XXXXX454]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50413": {
+      "content": "[XXXXX449]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50414": {
+      "content": "[XXXXX697]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50415": {
+      "content": "[XXXXX724]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50416": {
+      "content": "[XXXXX224]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50417": {
+      "content": "[XXXXX1157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50418": {
+      "content": "[XXXXX455]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50419": {
+      "content": "[XXXXX505]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50420": {
+      "content": "[XXXXX96]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50421": {
+      "content": "[XXXXX182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50422": {
+      "content": "[XXXXX424]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50423": {
+      "content": "[XXXXX872]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50424": {
+      "content": "[XXXXX1163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50425": {
+      "content": "[XXXXX1081]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50426": {
+      "content": "[XXXXX1173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50427": {
+      "content": "[XXXXX172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50428": {
+      "content": "[XXXXX507]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50429": {
+      "content": "[XXXXX920]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50430": {
+      "content": "[XXXXX1126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50431": {
+      "content": "[XXXXX474]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50432": {
+      "content": "[XXXXX971]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50433": {
+      "content": "[XXXXX1049]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50434": {
+      "content": "[XXXXX1114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50435": {
+      "content": "[XXXXX1040]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50436": {
+      "content": "[XXXXX79]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50437": {
+      "content": "[XXXXX36]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50438": {
+      "content": "[XXXXX977]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50439": {
+      "content": "[XXXXX1129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50440": {
+      "content": "[XXXXX1063]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50441": {
+      "content": "[XXXXX773]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50442": {
+      "content": "[XXXXX16]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50443": {
+      "content": "[XXXXX113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50444": {
+      "content": "[XXXXX320]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50445": {
+      "content": "[XXXXX167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50446": {
+      "content": "[XXXXX751]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50447": {
+      "content": "[XXXXX656]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50448": {
+      "content": "[XXXXX543]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50449": {
+      "content": "[XXXXX828]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50450": {
+      "content": "[XXXXX915]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50451": {
+      "content": "[XXXXX1098]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50452": {
+      "content": "[XXXXX569]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50453": {
+      "content": "[XXXXX1166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50454": {
+      "content": "[XXXXX846]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50455": {
+      "content": "[XXXXX324]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50456": {
+      "content": "[XXXXX802]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50457": {
+      "content": "[XXXXX588]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50458": {
+      "content": "[XXXXX739]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50459": {
+      "content": "[XXXXX50]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50460": {
+      "content": "[XXXXX882]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50461": {
+      "content": "[XXXXX1054]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50462": {
+      "content": "[XXXXX621]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50463": {
+      "content": "[XXXXX585]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50464": {
+      "content": "[XXXXX121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50465": {
+      "content": "[XXXXX647]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50466": {
+      "content": "[XXXXX767]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50467": {
+      "content": "[XXXXX645]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50468": {
+      "content": "[XXXXX27]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50469": {
+      "content": "[XXXXX907]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50470": {
+      "content": "[XXXXX1109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50471": {
+      "content": "[XXXXX1147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50472": {
+      "content": "[XXXXX501]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50473": {
+      "content": "[XXXXX1164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50474": {
+      "content": "[XXXXX650]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50475": {
+      "content": "[XXXXX329]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50476": {
+      "content": "[XXXXX659]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50477": {
+      "content": "[XXXXX1158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50478": {
+      "content": "[XXXXX104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50479": {
+      "content": "[XXXXX629]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50480": {
+      "content": "[XXXXX868]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50481": {
+      "content": "[XXXXX779]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50482": {
+      "content": "[XXXXX17]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50483": {
+      "content": "[XXXXX377]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50484": {
+      "content": "[XXXXX467]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50485": {
+      "content": "[XXXXX917]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50486": {
+      "content": "[XXXXX830]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50487": {
+      "content": "[XXXXX533]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50488": {
+      "content": "[XXXXX862]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50489": {
+      "content": "[XXXXX1041]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50490": {
+      "content": "[XXXXX542]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50491": {
+      "content": "[XXXXX595]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50492": {
+      "content": "[XXXXX353]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50493": {
+      "content": "[XXXXX181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50494": {
+      "content": "[XXXXX662]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50495": {
+      "content": "[XXXXX1195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50496": {
+      "content": "[XXXXX435]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50497": {
+      "content": "[XXXXX1051]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50498": {
+      "content": "[XXXXX703]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50499": {
+      "content": "[XXXXX1140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50500": {
+      "content": "[XXXXX750]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50501": {
+      "content": "[XXXXX57]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50502": {
+      "content": "[XXXXX75]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50503": {
+      "content": "[XXXXX293]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50504": {
+      "content": "[XXXXX681]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50505": {
+      "content": "[XXXXX46]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50506": {
+      "content": "[XXXXX30]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50507": {
+      "content": "[XXXXX402]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50508": {
+      "content": "[XXXXX803]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50509": {
+      "content": "[XXXXX821]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50510": {
+      "content": "[XXXXX871]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50511": {
+      "content": "[XXXXX980]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50512": {
+      "content": "[XXXXX990]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50513": {
+      "content": "[XXXXX626]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50514": {
+      "content": "[XXXXX90]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50515": {
+      "content": "[XXXXX77]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50516": {
+      "content": "[XXXXX819]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50517": {
+      "content": "[XXXXX436]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50518": {
+      "content": "[XXXXX306]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50519": {
+      "content": "[XXXXX434]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50520": {
+      "content": "[XXXXX88]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50521": {
+      "content": "[XXXXX184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50522": {
+      "content": "[XXXXX290]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50523": {
+      "content": "[XXXXX216]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50524": {
+      "content": "[XXXXX176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50525": {
+      "content": "[XXXXX747]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50526": {
+      "content": "[XXXXX938]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50527": {
+      "content": "[XXXXX442]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50528": {
+      "content": "[XXXXX301]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50529": {
+      "content": "[XXXXX1015]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50530": {
+      "content": "[XXXXX520]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50531": {
+      "content": "[XXXXX829]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50532": {
+      "content": "[XXXXX106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50533": {
+      "content": "[XXXXX1048]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50534": {
+      "content": "[XXXXX923]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50535": {
+      "content": "[XXXXX958]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50536": {
+      "content": "[XXXXX1130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50537": {
+      "content": "[XXXXX89]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50538": {
+      "content": "[XXXXX548]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50539": {
+      "content": "[XXXXX863]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50540": {
+      "content": "[XXXXX444]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50541": {
+      "content": "[XXXXX1149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50542": {
+      "content": "[XXXXX866]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50543": {
+      "content": "[XXXXX109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50544": {
+      "content": "[XXXXX550]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50545": {
+      "content": "[XXXXX727]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50546": {
+      "content": "[XXXXX646]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50547": {
+      "content": "[XXXXX702]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50548": {
+      "content": "[XXXXX204]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50549": {
+      "content": "[XXXXX1000]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50550": {
+      "content": "[XXXXX591]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50551": {
+      "content": "[XXXXX1128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50552": {
+      "content": "[XXXXX937]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50553": {
+      "content": "[XXXXX141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50554": {
+      "content": "[XXXXX273]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50555": {
+      "content": "[XXXXX1183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50556": {
+      "content": "[XXXXX765]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50557": {
+      "content": "[XXXXX371]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50558": {
+      "content": "[XXXXX256]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50559": {
+      "content": "[XXXXX964]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50560": {
+      "content": "[XXXXX1148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50561": {
+      "content": "[XXXXX930]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50562": {
+      "content": "[XXXXX212]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50563": {
+      "content": "[XXXXX133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50564": {
+      "content": "[XXXXX608]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50565": {
+      "content": "[XXXXX281]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50566": {
+      "content": "[XXXXX1045]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50567": {
+      "content": "[XXXXX928]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50568": {
+      "content": "[XXXXX1154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50569": {
+      "content": "[XXXXX334]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50570": {
+      "content": "[XXXXX861]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50571": {
+      "content": "[XXXXX87]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50572": {
+      "content": "[XXXXX941]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50573": {
+      "content": "[XXXXX359]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50574": {
+      "content": "[XXXXX55]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50575": {
+      "content": "[XXXXX842]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50576": {
+      "content": "[XXXXX427]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50577": {
+      "content": "[XXXXX491]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50578": {
+      "content": "[XXXXX137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50579": {
+      "content": "[XXXXX47]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50580": {
+      "content": "[XXXXX511]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50581": {
+      "content": "[XXXXX81]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50582": {
+      "content": "[XXXXX139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50583": {
+      "content": "[XXXXX226]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50584": {
+      "content": "[XXXXX563]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50585": {
+      "content": "[XXXXX708]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50586": {
+      "content": "[XXXXX820]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50587": {
+      "content": "[XXXXX65]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50588": {
+      "content": "[XXXXX381]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50589": {
+      "content": "[XXXXX22]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50590": {
+      "content": "[XXXXX1064]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50591": {
+      "content": "[XXXXX874]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50592": {
+      "content": "[XXXXX944]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50593": {
+      "content": "[XXXXX6]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50594": {
+      "content": "[XXXXX313]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50595": {
+      "content": "[XXXXX471]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50596": {
+      "content": "[XXXXX1118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50597": {
+      "content": "[XXXXX849]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50598": {
+      "content": "[XXXXX483]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50599": {
+      "content": "[XXXXX713]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50600": {
+      "content": "[XXXXX222]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50601": {
+      "content": "[XXXXX640]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50602": {
+      "content": "[XXXXX12]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50603": {
+      "content": "[XXXXX285]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50604": {
+      "content": "[XXXXX327]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50605": {
+      "content": "[XXXXX378]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50606": {
+      "content": "[XXXXX790]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50607": {
+      "content": "[XXXXX1179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50608": {
+      "content": "[XXXXX15]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50609": {
+      "content": "[XXXXX229]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50610": {
+      "content": "[XXXXX771]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50611": {
+      "content": "[XXXXX559]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50612": {
+      "content": "[XXXXX253]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50613": {
+      "content": "[XXXXX644]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50614": {
+      "content": "[XXXXX811]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50615": {
+      "content": "[XXXXX554]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50616": {
+      "content": "[XXXXX744]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50617": {
+      "content": "[XXXXX786]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50618": {
+      "content": "[XXXXX913]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50619": {
+      "content": "[XXXXX966]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50620": {
+      "content": "[XXXXX972]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50621": {
+      "content": "[XXXXX664]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50622": {
+      "content": "[XXXXX1131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50623": {
+      "content": "[XXXXX1132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50624": {
+      "content": "[XXXXX376]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50625": {
+      "content": "[XXXXX672]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50626": {
+      "content": "[XXXXX1013]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50627": {
+      "content": "[XXXXX328]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50628": {
+      "content": "[XXXXX889]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50629": {
+      "content": "[XXXXX1141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50630": {
+      "content": "[XXXXX429]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50631": {
+      "content": "[XXXXX114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50632": {
+      "content": "[XXXXX523]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50633": {
+      "content": "[XXXXX833]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50634": {
+      "content": "[XXXXX927]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50635": {
+      "content": "[XXXXX297]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50636": {
+      "content": "[XXXXX812]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50637": {
+      "content": "[XXXXX1062]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50638": {
+      "content": "[XXXXX152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50639": {
+      "content": "[XXXXX1010]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50640": {
+      "content": "[XXXXX690]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50641": {
+      "content": "[XXXXX363]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50642": {
+      "content": "[XXXXX1103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50643": {
+      "content": "[XXXXX194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50644": {
+      "content": "[XXXXX844]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50645": {
+      "content": "[XXXXX667]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50646": {
+      "content": "[XXXXX720]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50647": {
+      "content": "[XXXXX770]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50648": {
+      "content": "[XXXXX515]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50649": {
+      "content": "[XXXXX196]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50650": {
+      "content": "[XXXXX283]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50651": {
+      "content": "[XXXXX95]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50652": {
+      "content": "[XXXXX528]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50653": {
+      "content": "[XXXXX749]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50654": {
+      "content": "[XXXXX934]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50655": {
+      "content": "[XXXXX1052]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50656": {
+      "content": "[XXXXX1188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50657": {
+      "content": "[XXXXX1001]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50658": {
+      "content": "[XXXXX785]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50659": {
+      "content": "[XXXXX393]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50660": {
+      "content": "[XXXXX502]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50661": {
+      "content": "[XXXXX404]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50662": {
+      "content": "[XXXXX129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50663": {
+      "content": "[XXXXX643]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50664": {
+      "content": "[XXXXX1086]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50665": {
+      "content": "[XXXXX1104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50666": {
+      "content": "[XXXXX326]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50667": {
+      "content": "[XXXXX330]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50668": {
+      "content": "[XXXXX620]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50669": {
+      "content": "[XXXXX193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50670": {
+      "content": "[XXXXX470]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50671": {
+      "content": "[XXXXX279]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50672": {
+      "content": "[XXXXX97]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50673": {
+      "content": "[XXXXX177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50674": {
+      "content": "[XXXXX510]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50675": {
+      "content": "[XXXXX225]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50676": {
+      "content": "[XXXXX572]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50677": {
+      "content": "[XXXXX777]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50678": {
+      "content": "[XXXXX1135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50679": {
+      "content": "[XXXXX1160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50680": {
+      "content": "[XXXXX558]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50681": {
+      "content": "[XXXXX416]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50682": {
+      "content": "[XXXXX246]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50683": {
+      "content": "[XXXXX799]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50684": {
+      "content": "[XXXXX153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50685": {
+      "content": "[XXXXX671]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50686": {
+      "content": "[XXXXX809]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50687": {
+      "content": "[XXXXX525]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50688": {
+      "content": "[XXXXX1004]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50689": {
+      "content": "[XXXXX1005]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50690": {
+      "content": "[XXXXX1194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50691": {
+      "content": "[XXXXX408]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50692": {
+      "content": "[XXXXX492]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50693": {
+      "content": "[XXXXX973]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50694": {
+      "content": "[XXXXX242]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50695": {
+      "content": "[XXXXX357]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50696": {
+      "content": "[XXXXX851]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50697": {
+      "content": "[XXXXX999]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50698": {
+      "content": "[XXXXX969]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50699": {
+      "content": "[XXXXX453]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50700": {
+      "content": "[XXXXX730]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50701": {
+      "content": "[XXXXX54]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50702": {
+      "content": "[XXXXX480]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50703": {
+      "content": "[XXXXX564]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50704": {
+      "content": "[XXXXX600]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50705": {
+      "content": "[XXXXX654]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50706": {
+      "content": "[XXXXX37]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50707": {
+      "content": "[XXXXX605]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50708": {
+      "content": "[XXXXX164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50709": {
+      "content": "[XXXXX395]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50710": {
+      "content": "[XXXXX401]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50711": {
+      "content": "[XXXXX446]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50712": {
+      "content": "[XXXXX658]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50713": {
+      "content": "[XXXXX60]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50714": {
+      "content": "[XXXXX107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50715": {
+      "content": "[XXXXX131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50716": {
+      "content": "[XXXXX387]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50717": {
+      "content": "[XXXXX67]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50718": {
+      "content": "[XXXXX743]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50719": {
+      "content": "[XXXXX657]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50720": {
+      "content": "[XXXXX418]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50721": {
+      "content": "[XXXXX787]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50722": {
+      "content": "[XXXXX838]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50723": {
+      "content": "[XXXXX298]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50724": {
+      "content": "[XXXXX1007]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50725": {
+      "content": "[XXXXX1027]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50726": {
+      "content": "[XXXXX1078]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50727": {
+      "content": "[XXXXX651]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50728": {
+      "content": "[XXXXX875]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50729": {
+      "content": "[XXXXX258]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50730": {
+      "content": "[XXXXX413]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50731": {
+      "content": "[XXXXX1092]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50732": {
+      "content": "[XXXXX124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50733": {
+      "content": "[XXXXX308]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50734": {
+      "content": "[XXXXX1085]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50735": {
+      "content": "[XXXXX1170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50736": {
+      "content": "[XXXXX38]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50737": {
+      "content": "[XXXXX438]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50738": {
+      "content": "[XXXXX475]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50739": {
+      "content": "[XXXXX900]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50740": {
+      "content": "[XXXXX263]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50741": {
+      "content": "[XXXXX166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50742": {
+      "content": "[XXXXX698]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50743": {
+      "content": "[XXXXX1127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50744": {
+      "content": "[XXXXX1181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50745": {
+      "content": "[XXXXX763]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50746": {
+      "content": "[XXXXX627]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50747": {
+      "content": "[XXXXX250]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50748": {
+      "content": "[XXXXX757]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50749": {
+      "content": "[XXXXX142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50750": {
+      "content": "[XXXXX794]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50751": {
+      "content": "[XXXXX128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50752": {
+      "content": "[XXXXX35]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50753": {
+      "content": "[XXXXX482]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50754": {
+      "content": "[XXXXX834]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50755": {
+      "content": "[XXXXX679]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50756": {
+      "content": "[XXXXX839]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50757": {
+      "content": "[XXXXX138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50758": {
+      "content": "[XXXXX1066]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50759": {
+      "content": "[XXXXX116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50760": {
+      "content": "[XXXXX317]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50761": {
+      "content": "[XXXXX490]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50762": {
+      "content": "[XXXXX443]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50763": {
+      "content": "[XXXXX879]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50764": {
+      "content": "[XXXXX1101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50765": {
+      "content": "[XXXXX711]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50766": {
+      "content": "[XXXXX123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50767": {
+      "content": "[XXXXX1152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50768": {
+      "content": "[XXXXX692]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50769": {
+      "content": "[XXXXX555]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50770": {
+      "content": "[XXXXX266]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50771": {
+      "content": "[XXXXX0]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50772": {
+      "content": "[XXXXX332]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50773": {
+      "content": "[XXXXX497]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50774": {
+      "content": "[XXXXX904]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50775": {
+      "content": "[XXXXX1019]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50776": {
+      "content": "[XXXXX709]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50777": {
+      "content": "[XXXXX351]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50778": {
+      "content": "[XXXXX764]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50779": {
+      "content": "[XXXXX625]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50780": {
+      "content": "[XXXXX798]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50781": {
+      "content": "[XXXXX205]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50782": {
+      "content": "[XXXXX922]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50783": {
+      "content": "[XXXXX1075]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50784": {
+      "content": "[XXXXX8]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50785": {
+      "content": "[XXXXX422]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50786": {
+      "content": "[XXXXX638]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50787": {
+      "content": "[XXXXX98]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50788": {
+      "content": "[XXXXX814]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50789": {
+      "content": "[XXXXX1057]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50790": {
+      "content": "[XXXXX1070]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50791": {
+      "content": "[XXXXX411]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50792": {
+      "content": "[XXXXX768]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50793": {
+      "content": "[XXXXX1165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50794": {
+      "content": "[XXXXX888]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50795": {
+      "content": "[XXXXX636]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50796": {
+      "content": "[XXXXX1047]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50797": {
+      "content": "[XXXXX960]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50798": {
+      "content": "[XXXXX910]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50799": {
+      "content": "[XXXXX42]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50800": {
+      "content": "[XXXXX238]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50801": {
+      "content": "[XXXXX383]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50802": {
+      "content": "[XXXXX1032]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50803": {
+      "content": "[XXXXX577]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50804": {
+      "content": "[XXXXX268]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50805": {
+      "content": "[XXXXX179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50806": {
+      "content": "[XXXXX1076]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50807": {
+      "content": "[XXXXX1167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50808": {
+      "content": "[XXXXX1172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50809": {
+      "content": "[XXXXX665]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50810": {
+      "content": "[XXXXX126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50811": {
+      "content": "[XXXXX347]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50812": {
+      "content": "[XXXXX544]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50813": {
+      "content": "[XXXXX1026]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50814": {
+      "content": "[XXXXX159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50815": {
+      "content": "[XXXXX503]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50816": {
+      "content": "[XXXXX583]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50817": {
+      "content": "[XXXXX668]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50818": {
+      "content": "[XXXXX1115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50819": {
+      "content": "[XXXXX112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50820": {
+      "content": "[XXXXX154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50821": {
+      "content": "[XXXXX761]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50822": {
+      "content": "[XXXXX540]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50823": {
+      "content": "[XXXXX755]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50824": {
+      "content": "[XXXXX255]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50825": {
+      "content": "[XXXXX459]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50826": {
+      "content": "[XXXXX1090]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50827": {
+      "content": "[XXXXX689]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50828": {
+      "content": "[XXXXX589]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50829": {
+      "content": "[XXXXX122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50830": {
+      "content": "[XXXXX789]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50831": {
+      "content": "[XXXXX481]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50832": {
+      "content": "[XXXXX1044]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50833": {
+      "content": "[XXXXX274]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50834": {
+      "content": "[XXXXX957]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50835": {
+      "content": "[XXXXX1121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50836": {
+      "content": "[XXXXX464]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50837": {
+      "content": "[XXXXX495]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50838": {
+      "content": "[XXXXX1097]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50839": {
+      "content": "[XXXXX581]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50840": {
+      "content": "[XXXXX200]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50841": {
+      "content": "[XXXXX954]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50842": {
+      "content": "[XXXXX48]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50843": {
+      "content": "[XXXXX855]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50844": {
+      "content": "[XXXXX419]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50845": {
+      "content": "[XXXXX919]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50846": {
+      "content": "[XXXXX451]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50847": {
+      "content": "[XXXXX869]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50848": {
+      "content": "[XXXXX1082]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50849": {
+      "content": "[XXXXX1185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50850": {
+      "content": "[XXXXX859]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50851": {
+      "content": "[XXXXX1139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50852": {
+      "content": "[XXXXX1072]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50853": {
+      "content": "[XXXXX220]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50854": {
+      "content": "[XXXXX465]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50855": {
+      "content": "[XXXXX1105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50856": {
+      "content": "[XXXXX1093]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50857": {
+      "content": "[XXXXX953]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50858": {
+      "content": "[XXXXX1187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50859": {
+      "content": "[XXXXX311]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50860": {
+      "content": "[XXXXX403]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50861": {
+      "content": "[XXXXX684]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50862": {
+      "content": "[XXXXX426]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50863": {
+      "content": "[XXXXX68]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50864": {
+      "content": "[XXXXX277]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50865": {
+      "content": "[XXXXX437]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50866": {
+      "content": "[XXXXX896]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50867": {
+      "content": "[XXXXX899]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50868": {
+      "content": "[XXXXX878]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50869": {
+      "content": "[XXXXX1073]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50870": {
+      "content": "[XXXXX774]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50871": {
+      "content": "[XXXXX315]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50872": {
+      "content": "[XXXXX631]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50873": {
+      "content": "[XXXXX223]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50874": {
+      "content": "[XXXXX86]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50875": {
+      "content": "[XXXXX607]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50876": {
+      "content": "[XXXXX149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50877": {
+      "content": "[XXXXX566]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50878": {
+      "content": "[XXXXX740]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50879": {
+      "content": "[XXXXX265]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50880": {
+      "content": "[XXXXX399]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50881": {
+      "content": "[XXXXX1053]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50882": {
+      "content": "[XXXXX1077]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50883": {
+      "content": "[XXXXX336]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50884": {
+      "content": "[XXXXX734]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50885": {
+      "content": "[XXXXX289]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50886": {
+      "content": "[XXXXX221]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50887": {
+      "content": "[XXXXX580]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50888": {
+      "content": "[XXXXX406]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50889": {
+      "content": "[XXXXX854]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50890": {
+      "content": "[XXXXX673]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50891": {
+      "content": "[XXXXX1146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50892": {
+      "content": "[XXXXX29]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50893": {
+      "content": "[XXXXX496]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50894": {
+      "content": "[XXXXX241]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50895": {
+      "content": "[XXXXX929]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50896": {
+      "content": "[XXXXX169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50897": {
+      "content": "[XXXXX1153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50898": {
+      "content": "[XXXXX440]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50899": {
+      "content": "[XXXXX385]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50900": {
+      "content": "[XXXXX499]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50901": {
+      "content": "[XXXXX718]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50902": {
+      "content": "[XXXXX848]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50903": {
+      "content": "[XXXXX877]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50904": {
+      "content": "[XXXXX641]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50905": {
+      "content": "[XXXXX1137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50906": {
+      "content": "[XXXXX269]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50907": {
+      "content": "[XXXXX521]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50908": {
+      "content": "[XXXXX234]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50909": {
+      "content": "[XXXXX987]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50910": {
+      "content": "[XXXXX741]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50911": {
+      "content": "[XXXXX349]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50912": {
+      "content": "[XXXXX93]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50913": {
+      "content": "[XXXXX247]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50914": {
+      "content": "[XXXXX961]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50915": {
+      "content": "[XXXXX1120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50916": {
+      "content": "[XXXXX369]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50917": {
+      "content": "[XXXXX479]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50918": {
+      "content": "[XXXXX892]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50919": {
+      "content": "[XXXXX553]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50920": {
+      "content": "[XXXXX906]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50921": {
+      "content": "[XXXXX571]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50922": {
+      "content": "[XXXXX1046]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50923": {
+      "content": "[XXXXX206]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50924": {
+      "content": "[XXXXX488]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50925": {
+      "content": "[XXXXX445]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50926": {
+      "content": "[XXXXX524]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50927": {
+      "content": "[XXXXX228]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50928": {
+      "content": "[XXXXX998]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50929": {
+      "content": "[XXXXX675]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50930": {
+      "content": "[XXXXX732]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50931": {
+      "content": "[XXXXX1028]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50932": {
+      "content": "[XXXXX494]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50933": {
+      "content": "[XXXXX965]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50934": {
+      "content": "[XXXXX1021]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50935": {
+      "content": "[XXXXX726]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50936": {
+      "content": "[XXXXX168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50937": {
+      "content": "[XXXXX606]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50938": {
+      "content": "[XXXXX974]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50939": {
+      "content": "[XXXXX504]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50940": {
+      "content": "[XXXXX556]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50941": {
+      "content": "[XXXXX1159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50942": {
+      "content": "[XXXXX417]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50943": {
+      "content": "[XXXXX1175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50944": {
+      "content": "[XXXXX1142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50945": {
+      "content": "[XXXXX753]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50946": {
+      "content": "[XXXXX824]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50947": {
+      "content": "[XXXXX251]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50948": {
+      "content": "[XXXXX345]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50949": {
+      "content": "[XXXXX610]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50950": {
+      "content": "[XXXXX276]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50951": {
+      "content": "[XXXXX783]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50952": {
+      "content": "[XXXXX74]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50953": {
+      "content": "[XXXXX1050]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50954": {
+      "content": "[XXXXX71]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50955": {
+      "content": "[XXXXX360]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50956": {
+      "content": "[XXXXX512]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50957": {
+      "content": "[XXXXX341]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50958": {
+      "content": "[XXXXX375]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50959": {
+      "content": "[XXXXX637]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50960": {
+      "content": "[XXXXX1116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50961": {
+      "content": "[XXXXX9]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50962": {
+      "content": "[XXXXX738]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50963": {
+      "content": "[XXXXX856]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50964": {
+      "content": "[XXXXX979]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50965": {
+      "content": "[XXXXX825]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50966": {
+      "content": "[XXXXX852]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50967": {
+      "content": "[XXXXX215]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50968": {
+      "content": "[XXXXX91]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50969": {
+      "content": "[XXXXX257]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50970": {
+      "content": "[XXXXX325]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50971": {
+      "content": "[XXXXX368]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50972": {
+      "content": "[XXXXX1124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50973": {
+      "content": "[XXXXX188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50974": {
+      "content": "[XXXXX905]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50975": {
+      "content": "[XXXXX284]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50976": {
+      "content": "[XXXXX11]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50977": {
+      "content": "[XXXXX83]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50978": {
+      "content": "[XXXXX611]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50979": {
+      "content": "[XXXXX51]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50980": {
+      "content": "[XXXXX99]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50981": {
+      "content": "[XXXXX288]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50982": {
+      "content": "[XXXXX945]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50983": {
+      "content": "[XXXXX975]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50984": {
+      "content": "[XXXXX282]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50985": {
+      "content": "[XXXXX1068]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50986": {
+      "content": "[XXXXX1180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50987": {
+      "content": "[XXXXX574]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50988": {
+      "content": "[XXXXX305]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50989": {
+      "content": "[XXXXX565]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50990": {
+      "content": "[XXXXX865]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50991": {
+      "content": "[XXXXX1014]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50992": {
+      "content": "[XXXXX1138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50993": {
+      "content": "[XXXXX134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50994": {
+      "content": "[XXXXX321]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50995": {
+      "content": "[XXXXX752]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50996": {
+      "content": "[XXXXX108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50997": {
+      "content": "[XXXXX339]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50998": {
+      "content": "[XXXXX893]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50999": {
+      "content": "[XXXXX1177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51000": {
+      "content": "[XXXXX988]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51001": {
+      "content": "[XXXXX719]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51002": {
+      "content": "[XXXXX1059]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51003": {
+      "content": "[XXXXX421]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51004": {
+      "content": "[XXXXX670]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51005": {
+      "content": "[XXXXX949]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51006": {
+      "content": "[XXXXX14]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51007": {
+      "content": "[XXXXX1087]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51008": {
+      "content": "[XXXXX382]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51009": {
+      "content": "[XXXXX531]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51010": {
+      "content": "[XXXXX1079]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51011": {
+      "content": "[XXXXX1067]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51012": {
+      "content": "[XXXXX655]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51013": {
+      "content": "[XXXXX340]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51014": {
+      "content": "[XXXXX398]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51015": {
+      "content": "[XXXXX175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51016": {
+      "content": "[XXXXX232]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51017": {
+      "content": "[XXXXX244]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51018": {
+      "content": "[XXXXX568]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51019": {
+      "content": "[XXXXX1110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51020": {
+      "content": "[XXXXX191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51021": {
+      "content": "[XXXXX931]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51022": {
+      "content": "[XXXXX832]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51023": {
+      "content": "[XXXXX1030]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51024": {
+      "content": "[XXXXX144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51025": {
+      "content": "[XXXXX1102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51026": {
+      "content": "[XXXXX300]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51027": {
+      "content": "[XXXXX996]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51028": {
+      "content": "[XXXXX248]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51029": {
+      "content": "[XXXXX66]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51030": {
+      "content": "[XXXXX735]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51031": {
+      "content": "[XXXXX20]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51032": {
+      "content": "[XXXXX694]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51033": {
+      "content": "[XXXXX845]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51034": {
+      "content": "[XXXXX500]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51035": {
+      "content": "[XXXXX613]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51036": {
+      "content": "[XXXXX117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51037": {
+      "content": "[XXXXX886]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51038": {
+      "content": "[XXXXX261]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51039": {
+      "content": "[XXXXX567]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51040": {
+      "content": "[XXXXX541]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51041": {
+      "content": "[XXXXX529]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51042": {
+      "content": "[XXXXX699]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51043": {
+      "content": "[XXXXX715]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51044": {
+      "content": "[XXXXX1003]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51045": {
+      "content": "[XXXXX518]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51046": {
+      "content": "[XXXXX891]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51047": {
+      "content": "[XXXXX192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51048": {
+      "content": "[XXXXX53]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51049": {
+      "content": "[XXXXX428]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51050": {
+      "content": "[XXXXX183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51051": {
+      "content": "[XXXXX850]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51052": {
+      "content": "[XXXXX539]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51053": {
+      "content": "[XXXXX527]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51054": {
+      "content": "[XXXXX660]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51055": {
+      "content": "[XXXXX409]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51056": {
+      "content": "[XXXXX1122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51057": {
+      "content": "[XXXXX898]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51058": {
+      "content": "[XXXXX858]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51059": {
+      "content": "[XXXXX534]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51060": {
+      "content": "[XXXXX756]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51061": {
+      "content": "[XXXXX63]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51062": {
+      "content": "[XXXXX49]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51063": {
+      "content": "[XXXXX1106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51064": {
+      "content": "[XXXXX111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51065": {
+      "content": "[XXXXX955]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51066": {
+      "content": "[XXXXX309]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51067": {
+      "content": "[XXXXX538]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51068": {
+      "content": "[XXXXX823]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51069": {
+      "content": "[XXXXX867]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51070": {
+      "content": "[XXXXX587]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51071": {
+      "content": "[XXXXX243]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51072": {
+      "content": "[XXXXX677]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51073": {
+      "content": "[XXXXX1017]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51074": {
+      "content": "[XXXXX173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51075": {
+      "content": "[XXXXX682]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51076": {
+      "content": "[XXXXX1184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51077": {
+      "content": "[XXXXX1009]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51078": {
+      "content": "[XXXXX704]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51079": {
+      "content": "[XXXXX532]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51080": {
+      "content": "[XXXXX901]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51081": {
+      "content": "[XXXXX120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51082": {
+      "content": "[XXXXX388]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51083": {
+      "content": "[XXXXX405]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51084": {
+      "content": "[XXXXX788]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51085": {
+      "content": "[XXXXX728]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51086": {
+      "content": "[XXXXX425]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51087": {
+      "content": "[XXXXX883]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51088": {
+      "content": "[XXXXX837]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51089": {
+      "content": "[XXXXX350]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51090": {
+      "content": "[XXXXX716]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51091": {
+      "content": "[XXXXX579]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51092": {
+      "content": "[XXXXX909]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51093": {
+      "content": "[XXXXX884]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51094": {
+      "content": "[XXXXX1011]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51095": {
+      "content": "[XXXXX372]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51096": {
+      "content": "[XXXXX370]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51097": {
+      "content": "[XXXXX468]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51098": {
+      "content": "[XXXXX688]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51099": {
+      "content": "[XXXXX56]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51100": {
+      "content": "[XXXXX653]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51101": {
+      "content": "[XXXXX623]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51102": {
+      "content": "[XXXXX552]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51103": {
+      "content": "[XXXXX314]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51104": {
+      "content": "[XXXXX1018]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51105": {
+      "content": "[XXXXX1091]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51106": {
+      "content": "[XXXXX342]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51107": {
+      "content": "[XXXXX1065]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51108": {
+      "content": "[XXXXX1161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51109": {
+      "content": "[XXXXX959]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51110": {
+      "content": "[XXXXX1035]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51111": {
+      "content": "[XXXXX530]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51112": {
+      "content": "[XXXXX69]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51113": {
+      "content": "[XXXXX489]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51114": {
+      "content": "[XXXXX1]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51115": {
+      "content": "[XXXXX207]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51116": {
+      "content": "[XXXXX433]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51117": {
+      "content": "[XXXXX358]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51118": {
+      "content": "[XXXXX601]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51119": {
+      "content": "[XXXXX2]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51120": {
+      "content": "[XXXXX722]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51121": {
+      "content": "[XXXXX985]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51122": {
+      "content": "[XXXXX908]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51123": {
+      "content": "[XXXXX1024]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51124": {
+      "content": "[XXXXX1111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51125": {
+      "content": "[XXXXX1113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51126": {
+      "content": "[XXXXX678]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51127": {
+      "content": "[XXXXX19]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51128": {
+      "content": "[XXXXX1186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51129": {
+      "content": "[XXXXX808]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51130": {
+      "content": "[XXXXX493]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51131": {
+      "content": "[XXXXX1155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51132": {
+      "content": "[XXXXX217]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51133": {
+      "content": "[XXXXX616]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51134": {
+      "content": "[XXXXX835]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51135": {
+      "content": "[XXXXX994]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51136": {
+      "content": "[XXXXX484]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51137": {
+      "content": "[XXXXX362]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51138": {
+      "content": "[XXXXX582]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51139": {
+      "content": "[XXXXX1034]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51140": {
+      "content": "[XXXXX772]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51141": {
+      "content": "[XXXXX457]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51142": {
+      "content": "[XXXXX604]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51143": {
+      "content": "[XXXXX456]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51144": {
+      "content": "[XXXXX145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51145": {
+      "content": "[XXXXX476]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51146": {
+      "content": "[XXXXX218]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51147": {
+      "content": "[XXXXX199]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51148": {
+      "content": "[XXXXX364]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51149": {
+      "content": "[XXXXX302]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51150": {
+      "content": "[XXXXX881]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51151": {
+      "content": "[XXXXX1088]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51152": {
+      "content": "[XXXXX356]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51153": {
+      "content": "[XXXXX936]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51154": {
+      "content": "[XXXXX978]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51155": {
+      "content": "[XXXXX895]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51156": {
+      "content": "[XXXXX993]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51157": {
+      "content": "[XXXXX458]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51158": {
+      "content": "[XXXXX1002]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51159": {
+      "content": "[XXXXX1022]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51160": {
+      "content": "[XXXXX25]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51161": {
+      "content": "[XXXXX766]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51162": {
+      "content": "[XXXXX64]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51163": {
+      "content": "[XXXXX211]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51164": {
+      "content": "[XXXXX82]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51165": {
+      "content": "[XXXXX634]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51166": {
+      "content": "[XXXXX661]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51167": {
+      "content": "[XXXXX748]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51168": {
+      "content": "[XXXXX778]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51169": {
+      "content": "[XXXXX24]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51170": {
+      "content": "[XXXXX448]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51171": {
+      "content": "[XXXXX887]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51172": {
+      "content": "[XXXXX890]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51173": {
+      "content": "[XXXXX754]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51174": {
+      "content": "[XXXXX343]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51175": {
+      "content": "[XXXXX1069]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51176": {
+      "content": "[XXXXX294]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51177": {
+      "content": "[XXXXX295]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51178": {
+      "content": "[XXXXX197]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51179": {
+      "content": "[XXXXX210]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51180": {
+      "content": "[XXXXX630]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51181": {
+      "content": "[XXXXX707]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51182": {
+      "content": "[XXXXX864]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51183": {
+      "content": "[XXXXX391]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51184": {
+      "content": "[XXXXX338]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51185": {
+      "content": "[XXXXX800]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51186": {
+      "content": "[XXXXX841]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51187": {
+      "content": "[XXXXX967]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51188": {
+      "content": "[XXXXX793]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51189": {
+      "content": "[XXXXX916]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51190": {
+      "content": "[XXXXX603]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51191": {
+      "content": "[XXXXX270]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51192": {
+      "content": "[XXXXX105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51193": {
+      "content": "[XXXXX1016]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51194": {
+      "content": "[XXXXX804]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51195": {
+      "content": "[XXXXX264]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51196": {
+      "content": "[XXXXX155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51197": {
+      "content": "[XXXXX1190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51198": {
+      "content": "[XXXXX813]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51199": {
+      "content": "[XXXXX546]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "keep_accents": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}
diff --git a/checkpoint-500/trainer_state.json b/checkpoint-500/trainer_state.json
new file mode 100644
index 0000000..6afacf5
--- /dev/null
+++ b/checkpoint-500/trainer_state.json
@@ -0,0 +1,1045 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.4142502071251036,
+  "eval_steps": 500,
+  "global_step": 500,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "entropy": 7.218191003799438,
+      "epoch": 0.004142502071251036,
+      "grad_norm": 1.265625,
+      "learning_rate": 2e-06,
+      "loss": 6.8898,
+      "mean_token_accuracy": 0.08805170804262161,
+      "num_tokens": 9149.0,
+      "step": 5
+    },
+    {
+      "entropy": 7.191673707962036,
+      "epoch": 0.008285004142502071,
+      "grad_norm": 1.5078125,
+      "learning_rate": 4.5e-06,
+      "loss": 6.7268,
+      "mean_token_accuracy": 0.09304728880524635,
+      "num_tokens": 16800.0,
+      "step": 10
+    },
+    {
+      "entropy": 7.134524202346801,
+      "epoch": 0.012427506213753107,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7e-06,
+      "loss": 6.8905,
+      "mean_token_accuracy": 0.0921505056321621,
+      "num_tokens": 26617.0,
+      "step": 15
+    },
+    {
+      "entropy": 7.115550088882446,
+      "epoch": 0.016570008285004142,
+      "grad_norm": 1.25,
+      "learning_rate": 9.5e-06,
+      "loss": 6.8021,
+      "mean_token_accuracy": 0.09268744736909866,
+      "num_tokens": 35855.0,
+      "step": 20
+    },
+    {
+      "entropy": 7.12396879196167,
+      "epoch": 0.020712510356255178,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.2e-05,
+      "loss": 7.0094,
+      "mean_token_accuracy": 0.08752714470028877,
+      "num_tokens": 45644.0,
+      "step": 25
+    },
+    {
+      "entropy": 7.054446792602539,
+      "epoch": 0.024855012427506214,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.4500000000000002e-05,
+      "loss": 6.8922,
+      "mean_token_accuracy": 0.09398627206683159,
+      "num_tokens": 54641.0,
+      "step": 30
+    },
+    {
+      "entropy": 7.012255907058716,
+      "epoch": 0.02899751449875725,
+      "grad_norm": 1.0234375,
+      "learning_rate": 1.7000000000000003e-05,
+      "loss": 6.7519,
+      "mean_token_accuracy": 0.08958807587623596,
+      "num_tokens": 63924.0,
+      "step": 35
+    },
+    {
+      "entropy": 7.068031549453735,
+      "epoch": 0.033140016570008285,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.95e-05,
+      "loss": 6.89,
+      "mean_token_accuracy": 0.09437783882021904,
+      "num_tokens": 73452.0,
+      "step": 40
+    },
+    {
+      "entropy": 7.06072301864624,
+      "epoch": 0.037282518641259324,
+      "grad_norm": 1.0234375,
+      "learning_rate": 2.2e-05,
+      "loss": 6.9455,
+      "mean_token_accuracy": 0.0851291574537754,
+      "num_tokens": 82731.0,
+      "step": 45
+    },
+    {
+      "entropy": 7.090083169937134,
+      "epoch": 0.041425020712510356,
+      "grad_norm": 1.1015625,
+      "learning_rate": 2.4500000000000003e-05,
+      "loss": 6.7734,
+      "mean_token_accuracy": 0.09048294499516488,
+      "num_tokens": 92626.0,
+      "step": 50
+    },
+    {
+      "entropy": 7.149203157424926,
+      "epoch": 0.045567522783761395,
+      "grad_norm": 1.21875,
+      "learning_rate": 2.7e-05,
+      "loss": 6.9497,
+      "mean_token_accuracy": 0.08217904865741729,
+      "num_tokens": 101380.0,
+      "step": 55
+    },
+    {
+      "entropy": 7.119951963424683,
+      "epoch": 0.04971002485501243,
+      "grad_norm": 1.046875,
+      "learning_rate": 2.95e-05,
+      "loss": 6.8604,
+      "mean_token_accuracy": 0.09202293381094932,
+      "num_tokens": 109895.0,
+      "step": 60
+    },
+    {
+      "entropy": 7.2014998435974125,
+      "epoch": 0.053852526926263466,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.2e-05,
+      "loss": 6.8449,
+      "mean_token_accuracy": 0.09257669150829315,
+      "num_tokens": 119203.0,
+      "step": 65
+    },
+    {
+      "entropy": 7.1111664295196535,
+      "epoch": 0.0579950289975145,
+      "grad_norm": 1.1484375,
+      "learning_rate": 3.4500000000000005e-05,
+      "loss": 6.7903,
+      "mean_token_accuracy": 0.09657297283411026,
+      "num_tokens": 127572.0,
+      "step": 70
+    },
+    {
+      "entropy": 7.04930944442749,
+      "epoch": 0.06213753106876554,
+      "grad_norm": 1.03125,
+      "learning_rate": 3.7e-05,
+      "loss": 6.8304,
+      "mean_token_accuracy": 0.09063600301742554,
+      "num_tokens": 137161.0,
+      "step": 75
+    },
+    {
+      "entropy": 7.044711875915527,
+      "epoch": 0.06628003314001657,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.95e-05,
+      "loss": 6.9451,
+      "mean_token_accuracy": 0.08874713778495788,
+      "num_tokens": 145991.0,
+      "step": 80
+    },
+    {
+      "entropy": 7.130092525482178,
+      "epoch": 0.07042253521126761,
+      "grad_norm": 1.0546875,
+      "learning_rate": 4.2000000000000004e-05,
+      "loss": 6.8464,
+      "mean_token_accuracy": 0.08955071866512299,
+      "num_tokens": 154927.0,
+      "step": 85
+    },
+    {
+      "entropy": 7.090402746200562,
+      "epoch": 0.07456503728251865,
+      "grad_norm": 1.34375,
+      "learning_rate": 4.45e-05,
+      "loss": 6.7595,
+      "mean_token_accuracy": 0.09832768961787224,
+      "num_tokens": 163234.0,
+      "step": 90
+    },
+    {
+      "entropy": 7.08957576751709,
+      "epoch": 0.07870753935376967,
+      "grad_norm": 1.015625,
+      "learning_rate": 4.7000000000000004e-05,
+      "loss": 6.7163,
+      "mean_token_accuracy": 0.09379880875349045,
+      "num_tokens": 171554.0,
+      "step": 95
+    },
+    {
+      "entropy": 7.044517278671265,
+      "epoch": 0.08285004142502071,
+      "grad_norm": 1.1328125,
+      "learning_rate": 4.9500000000000004e-05,
+      "loss": 6.8173,
+      "mean_token_accuracy": 0.0955286517739296,
+      "num_tokens": 180171.0,
+      "step": 100
+    },
+    {
+      "entropy": 7.050950908660889,
+      "epoch": 0.08699254349627175,
+      "grad_norm": 1.0859375,
+      "learning_rate": 5.2e-05,
+      "loss": 6.761,
+      "mean_token_accuracy": 0.09741089940071106,
+      "num_tokens": 189216.0,
+      "step": 105
+    },
+    {
+      "entropy": 7.173562717437744,
+      "epoch": 0.09113504556752279,
+      "grad_norm": 1.015625,
+      "learning_rate": 5.45e-05,
+      "loss": 6.9519,
+      "mean_token_accuracy": 0.08675800338387489,
+      "num_tokens": 200022.0,
+      "step": 110
+    },
+    {
+      "entropy": 7.183744478225708,
+      "epoch": 0.09527754763877382,
+      "grad_norm": 1.2265625,
+      "learning_rate": 5.7e-05,
+      "loss": 6.8642,
+      "mean_token_accuracy": 0.09210581332445145,
+      "num_tokens": 208686.0,
+      "step": 115
+    },
+    {
+      "entropy": 7.121539115905762,
+      "epoch": 0.09942004971002485,
+      "grad_norm": 1.1875,
+      "learning_rate": 5.9499999999999996e-05,
+      "loss": 6.8829,
+      "mean_token_accuracy": 0.09462191313505172,
+      "num_tokens": 218266.0,
+      "step": 120
+    },
+    {
+      "entropy": 7.006736946105957,
+      "epoch": 0.1035625517812759,
+      "grad_norm": 1.046875,
+      "learning_rate": 6.2e-05,
+      "loss": 6.7523,
+      "mean_token_accuracy": 0.08771666437387467,
+      "num_tokens": 227658.0,
+      "step": 125
+    },
+    {
+      "entropy": 7.040027761459351,
+      "epoch": 0.10770505385252693,
+      "grad_norm": 1.1015625,
+      "learning_rate": 6.450000000000001e-05,
+      "loss": 6.7014,
+      "mean_token_accuracy": 0.1004502885043621,
+      "num_tokens": 236301.0,
+      "step": 130
+    },
+    {
+      "entropy": 7.106470441818237,
+      "epoch": 0.11184755592377796,
+      "grad_norm": 1.1171875,
+      "learning_rate": 6.7e-05,
+      "loss": 6.8424,
+      "mean_token_accuracy": 0.08812138065695763,
+      "num_tokens": 246355.0,
+      "step": 135
+    },
+    {
+      "entropy": 7.174679756164551,
+      "epoch": 0.115990057995029,
+      "grad_norm": 1.15625,
+      "learning_rate": 6.950000000000001e-05,
+      "loss": 6.8174,
+      "mean_token_accuracy": 0.0924198254942894,
+      "num_tokens": 256023.0,
+      "step": 140
+    },
+    {
+      "entropy": 7.10174069404602,
+      "epoch": 0.12013256006628004,
+      "grad_norm": 0.9921875,
+      "learning_rate": 7.2e-05,
+      "loss": 6.9036,
+      "mean_token_accuracy": 0.08638993799686431,
+      "num_tokens": 266893.0,
+      "step": 145
+    },
+    {
+      "entropy": 7.019921684265137,
+      "epoch": 0.12427506213753108,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7.45e-05,
+      "loss": 6.6606,
+      "mean_token_accuracy": 0.08872481286525727,
+      "num_tokens": 276075.0,
+      "step": 150
+    },
+    {
+      "entropy": 7.042754888534546,
+      "epoch": 0.12841756420878211,
+      "grad_norm": 1.25,
+      "learning_rate": 7.7e-05,
+      "loss": 6.7532,
+      "mean_token_accuracy": 0.09296932220458984,
+      "num_tokens": 285529.0,
+      "step": 155
+    },
+    {
+      "entropy": 7.064399909973145,
+      "epoch": 0.13256006628003314,
+      "grad_norm": 1.15625,
+      "learning_rate": 7.950000000000001e-05,
+      "loss": 6.762,
+      "mean_token_accuracy": 0.09406789913773536,
+      "num_tokens": 294403.0,
+      "step": 160
+    },
+    {
+      "entropy": 7.152362823486328,
+      "epoch": 0.13670256835128416,
+      "grad_norm": 1.28125,
+      "learning_rate": 8.2e-05,
+      "loss": 6.8553,
+      "mean_token_accuracy": 0.09358441680669785,
+      "num_tokens": 303507.0,
+      "step": 165
+    },
+    {
+      "entropy": 7.071487474441528,
+      "epoch": 0.14084507042253522,
+      "grad_norm": 1.21875,
+      "learning_rate": 8.450000000000001e-05,
+      "loss": 6.7534,
+      "mean_token_accuracy": 0.09645206108689308,
+      "num_tokens": 312393.0,
+      "step": 170
+    },
+    {
+      "entropy": 6.956210470199585,
+      "epoch": 0.14498757249378624,
+      "grad_norm": 1.0859375,
+      "learning_rate": 8.7e-05,
+      "loss": 6.7226,
+      "mean_token_accuracy": 0.09953253641724587,
+      "num_tokens": 321309.0,
+      "step": 175
+    },
+    {
+      "entropy": 7.2200812816619875,
+      "epoch": 0.1491300745650373,
+      "grad_norm": 1.1328125,
+      "learning_rate": 8.95e-05,
+      "loss": 6.7879,
+      "mean_token_accuracy": 0.09582221284508705,
+      "num_tokens": 330217.0,
+      "step": 180
+    },
+    {
+      "entropy": 6.964824962615967,
+      "epoch": 0.15327257663628832,
+      "grad_norm": 1.2109375,
+      "learning_rate": 9.2e-05,
+      "loss": 6.8296,
+      "mean_token_accuracy": 0.09584516286849976,
+      "num_tokens": 339587.0,
+      "step": 185
+    },
+    {
+      "entropy": 7.104565525054932,
+      "epoch": 0.15741507870753935,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.45e-05,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.09563353508710862,
+      "num_tokens": 349367.0,
+      "step": 190
+    },
+    {
+      "entropy": 6.90956711769104,
+      "epoch": 0.1615575807787904,
+      "grad_norm": 1.1953125,
+      "learning_rate": 9.7e-05,
+      "loss": 6.6535,
+      "mean_token_accuracy": 0.09533214569091797,
+      "num_tokens": 358272.0,
+      "step": 195
+    },
+    {
+      "entropy": 7.184430170059204,
+      "epoch": 0.16570008285004142,
+      "grad_norm": 1.1875,
+      "learning_rate": 9.95e-05,
+      "loss": 6.8847,
+      "mean_token_accuracy": 0.09342379868030548,
+      "num_tokens": 367709.0,
+      "step": 200
+    },
+    {
+      "entropy": 7.108258152008057,
+      "epoch": 0.16984258492129245,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000102,
+      "loss": 6.7363,
+      "mean_token_accuracy": 0.09321728497743606,
+      "num_tokens": 376180.0,
+      "step": 205
+    },
+    {
+      "entropy": 7.143853282928466,
+      "epoch": 0.1739850869925435,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00010449999999999999,
+      "loss": 6.8927,
+      "mean_token_accuracy": 0.08639989122748375,
+      "num_tokens": 385636.0,
+      "step": 210
+    },
+    {
+      "entropy": 7.005528688430786,
+      "epoch": 0.17812758906379453,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000107,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.10387283116579056,
+      "num_tokens": 394486.0,
+      "step": 215
+    },
+    {
+      "entropy": 7.066776275634766,
+      "epoch": 0.18227009113504558,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0001095,
+      "loss": 6.7286,
+      "mean_token_accuracy": 0.09739693626761436,
+      "num_tokens": 403765.0,
+      "step": 220
+    },
+    {
+      "entropy": 6.9391695022583,
+      "epoch": 0.1864125932062966,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000112,
+      "loss": 6.7198,
+      "mean_token_accuracy": 0.09883175939321517,
+      "num_tokens": 412988.0,
+      "step": 225
+    },
+    {
+      "entropy": 7.029045248031617,
+      "epoch": 0.19055509527754763,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0001145,
+      "loss": 6.6219,
+      "mean_token_accuracy": 0.09850638806819915,
+      "num_tokens": 422096.0,
+      "step": 230
+    },
+    {
+      "entropy": 7.055552911758423,
+      "epoch": 0.19469759734879868,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011700000000000001,
+      "loss": 6.7907,
+      "mean_token_accuracy": 0.08912368193268776,
+      "num_tokens": 431333.0,
+      "step": 235
+    },
+    {
+      "entropy": 7.076433277130127,
+      "epoch": 0.1988400994200497,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00011949999999999999,
+      "loss": 6.825,
+      "mean_token_accuracy": 0.0998022735118866,
+      "num_tokens": 440382.0,
+      "step": 240
+    },
+    {
+      "entropy": 7.098494958877564,
+      "epoch": 0.20298260149130073,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000122,
+      "loss": 6.7184,
+      "mean_token_accuracy": 0.1035430908203125,
+      "num_tokens": 448469.0,
+      "step": 245
+    },
+    {
+      "entropy": 7.065437746047974,
+      "epoch": 0.2071251035625518,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001245,
+      "loss": 6.7562,
+      "mean_token_accuracy": 0.0973759837448597,
+      "num_tokens": 457356.0,
+      "step": 250
+    },
+    {
+      "entropy": 7.103154182434082,
+      "epoch": 0.2112676056338028,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000127,
+      "loss": 6.7821,
+      "mean_token_accuracy": 0.09721289053559304,
+      "num_tokens": 465928.0,
+      "step": 255
+    },
+    {
+      "entropy": 6.99681601524353,
+      "epoch": 0.21541010770505387,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0001295,
+      "loss": 6.6931,
+      "mean_token_accuracy": 0.09931288808584213,
+      "num_tokens": 475269.0,
+      "step": 260
+    },
+    {
+      "entropy": 6.960800266265869,
+      "epoch": 0.2195526097763049,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000132,
+      "loss": 6.679,
+      "mean_token_accuracy": 0.09512786641716957,
+      "num_tokens": 485450.0,
+      "step": 265
+    },
+    {
+      "entropy": 7.0514568328857425,
+      "epoch": 0.22369511184755592,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00013450000000000002,
+      "loss": 6.7347,
+      "mean_token_accuracy": 0.10228226557374001,
+      "num_tokens": 494029.0,
+      "step": 270
+    },
+    {
+      "entropy": 6.9516912460327145,
+      "epoch": 0.22783761391880697,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013700000000000002,
+      "loss": 6.676,
+      "mean_token_accuracy": 0.10202871784567832,
+      "num_tokens": 503253.0,
+      "step": 275
+    },
+    {
+      "entropy": 7.018160057067871,
+      "epoch": 0.231980115990058,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0001395,
+      "loss": 6.6685,
+      "mean_token_accuracy": 0.09529435187578202,
+      "num_tokens": 512857.0,
+      "step": 280
+    },
+    {
+      "entropy": 6.9714985370635985,
+      "epoch": 0.23612261806130902,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00014199999999999998,
+      "loss": 6.7719,
+      "mean_token_accuracy": 0.09288227260112762,
+      "num_tokens": 522319.0,
+      "step": 285
+    },
+    {
+      "entropy": 7.113205528259277,
+      "epoch": 0.24026512013256007,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0001445,
+      "loss": 6.7224,
+      "mean_token_accuracy": 0.09471780881285667,
+      "num_tokens": 531469.0,
+      "step": 290
+    },
+    {
+      "entropy": 6.976934480667114,
+      "epoch": 0.2444076222038111,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000147,
+      "loss": 6.756,
+      "mean_token_accuracy": 0.09480062946677208,
+      "num_tokens": 540470.0,
+      "step": 295
+    },
+    {
+      "entropy": 7.011937475204467,
+      "epoch": 0.24855012427506215,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0001495,
+      "loss": 6.7584,
+      "mean_token_accuracy": 0.09700122326612473,
+      "num_tokens": 550317.0,
+      "step": 300
+    },
+    {
+      "entropy": 7.0365160465240475,
+      "epoch": 0.2526926263463132,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000152,
+      "loss": 6.7067,
+      "mean_token_accuracy": 0.09434132501482964,
+      "num_tokens": 559409.0,
+      "step": 305
+    },
+    {
+      "entropy": 6.928857326507568,
+      "epoch": 0.25683512841756423,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00015450000000000001,
+      "loss": 6.768,
+      "mean_token_accuracy": 0.10764710158109665,
+      "num_tokens": 568726.0,
+      "step": 310
+    },
+    {
+      "entropy": 7.103991413116455,
+      "epoch": 0.2609776304888152,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000157,
+      "loss": 6.7179,
+      "mean_token_accuracy": 0.0976541943848133,
+      "num_tokens": 577926.0,
+      "step": 315
+    },
+    {
+      "entropy": 7.047203779220581,
+      "epoch": 0.2651201325600663,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001595,
+      "loss": 6.7448,
+      "mean_token_accuracy": 0.09809661954641342,
+      "num_tokens": 586695.0,
+      "step": 320
+    },
+    {
+      "entropy": 7.039609956741333,
+      "epoch": 0.26926263463131733,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000162,
+      "loss": 6.771,
+      "mean_token_accuracy": 0.0949723981320858,
+      "num_tokens": 596250.0,
+      "step": 325
+    },
+    {
+      "entropy": 7.063632202148438,
+      "epoch": 0.27340513670256833,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00016450000000000001,
+      "loss": 6.8221,
+      "mean_token_accuracy": 0.09051206335425377,
+      "num_tokens": 605761.0,
+      "step": 330
+    },
+    {
+      "entropy": 7.019326877593994,
+      "epoch": 0.2775476387738194,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00016700000000000002,
+      "loss": 6.7365,
+      "mean_token_accuracy": 0.09872144013643265,
+      "num_tokens": 614313.0,
+      "step": 335
+    },
+    {
+      "entropy": 7.037422132492066,
+      "epoch": 0.28169014084507044,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00016950000000000003,
+      "loss": 6.7692,
+      "mean_token_accuracy": 0.09455474764108658,
+      "num_tokens": 624470.0,
+      "step": 340
+    },
+    {
+      "entropy": 7.039082098007202,
+      "epoch": 0.28583264291632143,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00017199999999999998,
+      "loss": 6.6843,
+      "mean_token_accuracy": 0.09269843101501465,
+      "num_tokens": 633458.0,
+      "step": 345
+    },
+    {
+      "entropy": 6.942268037796021,
+      "epoch": 0.2899751449875725,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00017449999999999999,
+      "loss": 6.6939,
+      "mean_token_accuracy": 0.09877684414386749,
+      "num_tokens": 643251.0,
+      "step": 350
+    },
+    {
+      "entropy": 6.99584732055664,
+      "epoch": 0.29411764705882354,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000177,
+      "loss": 6.7635,
+      "mean_token_accuracy": 0.09713540598750114,
+      "num_tokens": 652005.0,
+      "step": 355
+    },
+    {
+      "entropy": 7.006586170196533,
+      "epoch": 0.2982601491300746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0001795,
+      "loss": 6.6575,
+      "mean_token_accuracy": 0.10120807588100433,
+      "num_tokens": 661003.0,
+      "step": 360
+    },
+    {
+      "entropy": 6.874996137619019,
+      "epoch": 0.3024026512013256,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000182,
+      "loss": 6.6294,
+      "mean_token_accuracy": 0.09844254851341247,
+      "num_tokens": 670221.0,
+      "step": 365
+    },
+    {
+      "entropy": 7.155635738372803,
+      "epoch": 0.30654515327257664,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001845,
+      "loss": 6.9236,
+      "mean_token_accuracy": 0.0882349319756031,
+      "num_tokens": 680756.0,
+      "step": 370
+    },
+    {
+      "entropy": 6.94540753364563,
+      "epoch": 0.3106876553438277,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000187,
+      "loss": 6.6157,
+      "mean_token_accuracy": 0.10289054960012436,
+      "num_tokens": 689641.0,
+      "step": 375
+    },
+    {
+      "entropy": 6.87992377281189,
+      "epoch": 0.3148301574150787,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001895,
+      "loss": 6.5696,
+      "mean_token_accuracy": 0.09839320331811904,
+      "num_tokens": 698209.0,
+      "step": 380
+    },
+    {
+      "entropy": 6.823869276046753,
+      "epoch": 0.31897265948632975,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000192,
+      "loss": 6.5736,
+      "mean_token_accuracy": 0.10355777889490128,
+      "num_tokens": 706712.0,
+      "step": 385
+    },
+    {
+      "entropy": 7.037634468078613,
+      "epoch": 0.3231151615575808,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0001945,
+      "loss": 6.8017,
+      "mean_token_accuracy": 0.09728012606501579,
+      "num_tokens": 716087.0,
+      "step": 390
+    },
+    {
+      "entropy": 6.911249494552612,
+      "epoch": 0.3272576636288318,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00019700000000000002,
+      "loss": 6.6465,
+      "mean_token_accuracy": 0.09347675815224647,
+      "num_tokens": 725913.0,
+      "step": 395
+    },
+    {
+      "entropy": 6.944440317153931,
+      "epoch": 0.33140016570008285,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019950000000000002,
+      "loss": 6.7201,
+      "mean_token_accuracy": 0.10362306237220764,
+      "num_tokens": 735020.0,
+      "step": 400
+    },
+    {
+      "entropy": 6.985636854171753,
+      "epoch": 0.3355426677713339,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000202,
+      "loss": 6.6216,
+      "mean_token_accuracy": 0.09469136893749237,
+      "num_tokens": 744299.0,
+      "step": 405
+    },
+    {
+      "entropy": 6.883630275726318,
+      "epoch": 0.3396851698425849,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00020449999999999998,
+      "loss": 6.6099,
+      "mean_token_accuracy": 0.09694516137242318,
+      "num_tokens": 753231.0,
+      "step": 410
+    },
+    {
+      "entropy": 6.825357389450073,
+      "epoch": 0.34382767191383595,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000207,
+      "loss": 6.6717,
+      "mean_token_accuracy": 0.10230854973196983,
+      "num_tokens": 763043.0,
+      "step": 415
+    },
+    {
+      "entropy": 7.016851997375488,
+      "epoch": 0.347970173985087,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0002095,
+      "loss": 6.6905,
+      "mean_token_accuracy": 0.09913048222661018,
+      "num_tokens": 771977.0,
+      "step": 420
+    },
+    {
+      "entropy": 6.820244407653808,
+      "epoch": 0.352112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000212,
+      "loss": 6.6243,
+      "mean_token_accuracy": 0.1011092983186245,
+      "num_tokens": 780285.0,
+      "step": 425
+    },
+    {
+      "entropy": 6.956075525283813,
+      "epoch": 0.35625517812758906,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002145,
+      "loss": 6.6593,
+      "mean_token_accuracy": 0.09649045094847679,
+      "num_tokens": 789980.0,
+      "step": 430
+    },
+    {
+      "entropy": 6.984846019744873,
+      "epoch": 0.3603976801988401,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021700000000000002,
+      "loss": 6.6275,
+      "mean_token_accuracy": 0.10474459528923034,
+      "num_tokens": 798700.0,
+      "step": 435
+    },
+    {
+      "entropy": 6.767291498184204,
+      "epoch": 0.36454018227009116,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002195,
+      "loss": 6.7208,
+      "mean_token_accuracy": 0.09600067660212516,
+      "num_tokens": 808758.0,
+      "step": 440
+    },
+    {
+      "entropy": 7.046369791030884,
+      "epoch": 0.36868268434134216,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000222,
+      "loss": 6.6666,
+      "mean_token_accuracy": 0.10458802133798599,
+      "num_tokens": 817692.0,
+      "step": 445
+    },
+    {
+      "entropy": 6.95425066947937,
+      "epoch": 0.3728251864125932,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002245,
+      "loss": 6.7146,
+      "mean_token_accuracy": 0.10474570766091347,
+      "num_tokens": 827052.0,
+      "step": 450
+    },
+    {
+      "entropy": 6.895345544815063,
+      "epoch": 0.37696768848384427,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00022700000000000002,
+      "loss": 6.7139,
+      "mean_token_accuracy": 0.1091882586479187,
+      "num_tokens": 836442.0,
+      "step": 455
+    },
+    {
+      "entropy": 6.922871923446655,
+      "epoch": 0.38111019055509526,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00022950000000000002,
+      "loss": 6.5775,
+      "mean_token_accuracy": 0.10118989571928978,
+      "num_tokens": 846441.0,
+      "step": 460
+    },
+    {
+      "entropy": 6.8815388679504395,
+      "epoch": 0.3852526926263463,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00023200000000000003,
+      "loss": 6.6215,
+      "mean_token_accuracy": 0.10475475937128068,
+      "num_tokens": 856108.0,
+      "step": 465
+    },
+    {
+      "entropy": 6.848587274551392,
+      "epoch": 0.38939519469759737,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00023449999999999998,
+      "loss": 6.5833,
+      "mean_token_accuracy": 0.10137399956583977,
+      "num_tokens": 865788.0,
+      "step": 470
+    },
+    {
+      "entropy": 6.886804008483887,
+      "epoch": 0.39353769676884837,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000237,
+      "loss": 6.6302,
+      "mean_token_accuracy": 0.09514767676591873,
+      "num_tokens": 874833.0,
+      "step": 475
+    },
+    {
+      "entropy": 6.751422643661499,
+      "epoch": 0.3976801988400994,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002395,
+      "loss": 6.5997,
+      "mean_token_accuracy": 0.10276172533631325,
+      "num_tokens": 883685.0,
+      "step": 480
+    },
+    {
+      "entropy": 6.881311464309692,
+      "epoch": 0.40182270091135047,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000242,
+      "loss": 6.6001,
+      "mean_token_accuracy": 0.09796027019619942,
+      "num_tokens": 893908.0,
+      "step": 485
+    },
+    {
+      "entropy": 6.934821891784668,
+      "epoch": 0.40596520298260147,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002445,
+      "loss": 6.7142,
+      "mean_token_accuracy": 0.09827135354280472,
+      "num_tokens": 903081.0,
+      "step": 490
+    },
+    {
+      "entropy": 6.7868632793426515,
+      "epoch": 0.4101077050538525,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000247,
+      "loss": 6.5522,
+      "mean_token_accuracy": 0.10336750745773315,
+      "num_tokens": 912515.0,
+      "step": 495
+    },
+    {
+      "entropy": 6.886235475540161,
+      "epoch": 0.4142502071251036,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002495,
+      "loss": 6.5797,
+      "mean_token_accuracy": 0.1070313923060894,
+      "num_tokens": 921056.0,
+      "step": 500
+    },
+    {
+      "epoch": 0.4142502071251036,
+      "eval_entropy": 6.836038604728194,
+      "eval_loss": 6.684774875640869,
+      "eval_mean_token_accuracy": 0.10272799217021034,
+      "eval_num_tokens": 921056.0,
+      "eval_runtime": 2.7891,
+      "eval_samples_per_second": 1343.421,
+      "eval_steps_per_second": 168.152,
+      "step": 500
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 12060,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1382675779584000.0,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}
diff --git a/checkpoint-500/training_args.bin b/checkpoint-500/training_args.bin
new file mode 100644
index 0000000..47a7b32
--- /dev/null
+++ b/checkpoint-500/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e406e906697be5d5c4bea7f90a038122ca162eb6b7e40512a32661ef55af9075
+size 6353
diff --git a/checkpoint-5000/added_tokens.json b/checkpoint-5000/added_tokens.json
new file mode 100644
index 0000000..b3dbcdb
--- /dev/null
+++ b/checkpoint-5000/added_tokens.json
@@ -0,0 +1,1202 @@
+{
+  "<pad>": 50002,
+  "[CLS]": 50000,
+  "[MASK]": 50003,
+  "[SEP]": 50001,
+  "[XXXXX0]": 50771,
+  "[XXXXX1000]": 50549,
+  "[XXXXX1001]": 50657,
+  "[XXXXX1002]": 51158,
+  "[XXXXX1003]": 51044,
+  "[XXXXX1004]": 50688,
+  "[XXXXX1005]": 50689,
+  "[XXXXX1006]": 50410,
+  "[XXXXX1007]": 50724,
+  "[XXXXX1008]": 50171,
+  "[XXXXX1009]": 51077,
+  "[XXXXX100]": 50091,
+  "[XXXXX1010]": 50639,
+  "[XXXXX1011]": 51094,
+  "[XXXXX1012]": 50392,
+  "[XXXXX1013]": 50626,
+  "[XXXXX1014]": 50991,
+  "[XXXXX1015]": 50529,
+  "[XXXXX1016]": 51193,
+  "[XXXXX1017]": 51073,
+  "[XXXXX1018]": 51104,
+  "[XXXXX1019]": 50775,
+  "[XXXXX101]": 50139,
+  "[XXXXX1020]": 50157,
+  "[XXXXX1021]": 50934,
+  "[XXXXX1022]": 51159,
+  "[XXXXX1023]": 50048,
+  "[XXXXX1024]": 51123,
+  "[XXXXX1025]": 50084,
+  "[XXXXX1026]": 50813,
+  "[XXXXX1027]": 50725,
+  "[XXXXX1028]": 50931,
+  "[XXXXX1029]": 50233,
+  "[XXXXX102]": 50213,
+  "[XXXXX1030]": 51023,
+  "[XXXXX1031]": 50098,
+  "[XXXXX1032]": 50802,
+  "[XXXXX1033]": 50061,
+  "[XXXXX1034]": 51139,
+  "[XXXXX1035]": 51110,
+  "[XXXXX1036]": 50204,
+  "[XXXXX1037]": 50023,
+  "[XXXXX1038]": 50142,
+  "[XXXXX1039]": 50328,
+  "[XXXXX103]": 50087,
+  "[XXXXX1040]": 50435,
+  "[XXXXX1041]": 50489,
+  "[XXXXX1042]": 50216,
+  "[XXXXX1043]": 50144,
+  "[XXXXX1044]": 50832,
+  "[XXXXX1045]": 50566,
+  "[XXXXX1046]": 50922,
+  "[XXXXX1047]": 50796,
+  "[XXXXX1048]": 50533,
+  "[XXXXX1049]": 50433,
+  "[XXXXX104]": 50478,
+  "[XXXXX1050]": 50953,
+  "[XXXXX1051]": 50497,
+  "[XXXXX1052]": 50655,
+  "[XXXXX1053]": 50881,
+  "[XXXXX1054]": 50461,
+  "[XXXXX1055]": 50052,
+  "[XXXXX1056]": 50219,
+  "[XXXXX1057]": 50789,
+  "[XXXXX1058]": 50121,
+  "[XXXXX1059]": 51002,
+  "[XXXXX105]": 51192,
+  "[XXXXX1060]": 50158,
+  "[XXXXX1061]": 50352,
+  "[XXXXX1062]": 50637,
+  "[XXXXX1063]": 50440,
+  "[XXXXX1064]": 50590,
+  "[XXXXX1065]": 51107,
+  "[XXXXX1066]": 50758,
+  "[XXXXX1067]": 51011,
+  "[XXXXX1068]": 50985,
+  "[XXXXX1069]": 51175,
+  "[XXXXX106]": 50532,
+  "[XXXXX1070]": 50790,
+  "[XXXXX1071]": 50394,
+  "[XXXXX1072]": 50852,
+  "[XXXXX1073]": 50869,
+  "[XXXXX1074]": 50126,
+  "[XXXXX1075]": 50783,
+  "[XXXXX1076]": 50806,
+  "[XXXXX1077]": 50882,
+  "[XXXXX1078]": 50726,
+  "[XXXXX1079]": 51010,
+  "[XXXXX107]": 50714,
+  "[XXXXX1080]": 50168,
+  "[XXXXX1081]": 50425,
+  "[XXXXX1082]": 50848,
+  "[XXXXX1083]": 50014,
+  "[XXXXX1084]": 50341,
+  "[XXXXX1085]": 50734,
+  "[XXXXX1086]": 50664,
+  "[XXXXX1087]": 51007,
+  "[XXXXX1088]": 51151,
+  "[XXXXX1089]": 50269,
+  "[XXXXX108]": 50996,
+  "[XXXXX1090]": 50826,
+  "[XXXXX1091]": 51105,
+  "[XXXXX1092]": 50731,
+  "[XXXXX1093]": 50856,
+  "[XXXXX1094]": 50369,
+  "[XXXXX1095]": 50065,
+  "[XXXXX1096]": 50309,
+  "[XXXXX1097]": 50838,
+  "[XXXXX1098]": 50451,
+  "[XXXXX1099]": 50384,
+  "[XXXXX109]": 50543,
+  "[XXXXX10]": 50325,
+  "[XXXXX1100]": 50318,
+  "[XXXXX1101]": 50764,
+  "[XXXXX1102]": 51025,
+  "[XXXXX1103]": 50642,
+  "[XXXXX1104]": 50665,
+  "[XXXXX1105]": 50855,
+  "[XXXXX1106]": 51063,
+  "[XXXXX1107]": 50025,
+  "[XXXXX1108]": 50122,
+  "[XXXXX1109]": 50470,
+  "[XXXXX110]": 50062,
+  "[XXXXX1110]": 51019,
+  "[XXXXX1111]": 51124,
+  "[XXXXX1112]": 50146,
+  "[XXXXX1113]": 51125,
+  "[XXXXX1114]": 50434,
+  "[XXXXX1115]": 50818,
+  "[XXXXX1116]": 50960,
+  "[XXXXX1117]": 50258,
+  "[XXXXX1118]": 50596,
+  "[XXXXX1119]": 50083,
+  "[XXXXX111]": 51064,
+  "[XXXXX1120]": 50915,
+  "[XXXXX1121]": 50835,
+  "[XXXXX1122]": 51056,
+  "[XXXXX1123]": 50172,
+  "[XXXXX1124]": 50972,
+  "[XXXXX1125]": 50275,
+  "[XXXXX1126]": 50430,
+  "[XXXXX1127]": 50743,
+  "[XXXXX1128]": 50551,
+  "[XXXXX1129]": 50439,
+  "[XXXXX112]": 50819,
+  "[XXXXX1130]": 50536,
+  "[XXXXX1131]": 50622,
+  "[XXXXX1132]": 50623,
+  "[XXXXX1133]": 50117,
+  "[XXXXX1134]": 50251,
+  "[XXXXX1135]": 50678,
+  "[XXXXX1136]": 50316,
+  "[XXXXX1137]": 50905,
+  "[XXXXX1138]": 50992,
+  "[XXXXX1139]": 50851,
+  "[XXXXX113]": 50443,
+  "[XXXXX1140]": 50499,
+  "[XXXXX1141]": 50629,
+  "[XXXXX1142]": 50944,
+  "[XXXXX1143]": 50373,
+  "[XXXXX1144]": 50123,
+  "[XXXXX1145]": 50173,
+  "[XXXXX1146]": 50891,
+  "[XXXXX1147]": 50471,
+  "[XXXXX1148]": 50560,
+  "[XXXXX1149]": 50541,
+  "[XXXXX114]": 50631,
+  "[XXXXX1150]": 50033,
+  "[XXXXX1151]": 50063,
+  "[XXXXX1152]": 50767,
+  "[XXXXX1153]": 50897,
+  "[XXXXX1154]": 50568,
+  "[XXXXX1155]": 51131,
+  "[XXXXX1156]": 50009,
+  "[XXXXX1157]": 50417,
+  "[XXXXX1158]": 50477,
+  "[XXXXX1159]": 50941,
+  "[XXXXX115]": 50294,
+  "[XXXXX1160]": 50679,
+  "[XXXXX1161]": 51108,
+  "[XXXXX1162]": 50332,
+  "[XXXXX1163]": 50424,
+  "[XXXXX1164]": 50473,
+  "[XXXXX1165]": 50793,
+  "[XXXXX1166]": 50453,
+  "[XXXXX1167]": 50807,
+  "[XXXXX1168]": 50128,
+  "[XXXXX1169]": 50039,
+  "[XXXXX116]": 50759,
+  "[XXXXX1170]": 50735,
+  "[XXXXX1171]": 50366,
+  "[XXXXX1172]": 50808,
+  "[XXXXX1173]": 50426,
+  "[XXXXX1174]": 50076,
+  "[XXXXX1175]": 50943,
+  "[XXXXX1176]": 50252,
+  "[XXXXX1177]": 50999,
+  "[XXXXX1178]": 50264,
+  "[XXXXX1179]": 50607,
+  "[XXXXX117]": 51036,
+  "[XXXXX1180]": 50986,
+  "[XXXXX1181]": 50744,
+  "[XXXXX1182]": 50186,
+  "[XXXXX1183]": 50555,
+  "[XXXXX1184]": 51076,
+  "[XXXXX1185]": 50849,
+  "[XXXXX1186]": 51128,
+  "[XXXXX1187]": 50858,
+  "[XXXXX1188]": 50656,
+  "[XXXXX1189]": 50064,
+  "[XXXXX118]": 50081,
+  "[XXXXX1190]": 51197,
+  "[XXXXX1191]": 50104,
+  "[XXXXX1192]": 50045,
+  "[XXXXX1193]": 50404,
+  "[XXXXX1194]": 50690,
+  "[XXXXX1195]": 50495,
+  "[XXXXX119]": 50108,
+  "[XXXXX11]": 50976,
+  "[XXXXX120]": 51081,
+  "[XXXXX121]": 50464,
+  "[XXXXX122]": 50829,
+  "[XXXXX123]": 50766,
+  "[XXXXX124]": 50732,
+  "[XXXXX125]": 50221,
+  "[XXXXX126]": 50810,
+  "[XXXXX127]": 50130,
+  "[XXXXX128]": 50751,
+  "[XXXXX129]": 50662,
+  "[XXXXX12]": 50602,
+  "[XXXXX130]": 50035,
+  "[XXXXX131]": 50715,
+  "[XXXXX132]": 50340,
+  "[XXXXX133]": 50563,
+  "[XXXXX134]": 50993,
+  "[XXXXX135]": 50304,
+  "[XXXXX136]": 50131,
+  "[XXXXX137]": 50578,
+  "[XXXXX138]": 50757,
+  "[XXXXX139]": 50582,
+  "[XXXXX13]": 50105,
+  "[XXXXX140]": 50085,
+  "[XXXXX141]": 50553,
+  "[XXXXX142]": 50749,
+  "[XXXXX143]": 50351,
+  "[XXXXX144]": 51024,
+  "[XXXXX145]": 51144,
+  "[XXXXX146]": 50042,
+  "[XXXXX147]": 50145,
+  "[XXXXX148]": 50066,
+  "[XXXXX149]": 50876,
+  "[XXXXX14]": 51006,
+  "[XXXXX150]": 50280,
+  "[XXXXX151]": 50093,
+  "[XXXXX152]": 50638,
+  "[XXXXX153]": 50684,
+  "[XXXXX154]": 50820,
+  "[XXXXX155]": 51196,
+  "[XXXXX156]": 50317,
+  "[XXXXX157]": 50284,
+  "[XXXXX158]": 50288,
+  "[XXXXX159]": 50814,
+  "[XXXXX15]": 50608,
+  "[XXXXX160]": 50004,
+  "[XXXXX161]": 50008,
+  "[XXXXX162]": 50377,
+  "[XXXXX163]": 50214,
+  "[XXXXX164]": 50708,
+  "[XXXXX165]": 50390,
+  "[XXXXX166]": 50741,
+  "[XXXXX167]": 50445,
+  "[XXXXX168]": 50936,
+  "[XXXXX169]": 50896,
+  "[XXXXX16]": 50442,
+  "[XXXXX170]": 50109,
+  "[XXXXX171]": 50140,
+  "[XXXXX172]": 50427,
+  "[XXXXX173]": 51074,
+  "[XXXXX174]": 50162,
+  "[XXXXX175]": 51015,
+  "[XXXXX176]": 50524,
+  "[XXXXX177]": 50673,
+  "[XXXXX178]": 50054,
+  "[XXXXX179]": 50805,
+  "[XXXXX17]": 50482,
+  "[XXXXX180]": 50253,
+  "[XXXXX181]": 50493,
+  "[XXXXX182]": 50421,
+  "[XXXXX183]": 51050,
+  "[XXXXX184]": 50521,
+  "[XXXXX185]": 50188,
+  "[XXXXX186]": 50147,
+  "[XXXXX187]": 50201,
+  "[XXXXX188]": 50973,
+  "[XXXXX189]": 50409,
+  "[XXXXX18]": 50115,
+  "[XXXXX190]": 50051,
+  "[XXXXX191]": 51020,
+  "[XXXXX192]": 51047,
+  "[XXXXX193]": 50669,
+  "[XXXXX194]": 50643,
+  "[XXXXX195]": 50159,
+  "[XXXXX196]": 50649,
+  "[XXXXX197]": 51178,
+  "[XXXXX198]": 50043,
+  "[XXXXX199]": 51147,
+  "[XXXXX19]": 51127,
+  "[XXXXX1]": 51114,
+  "[XXXXX200]": 50840,
+  "[XXXXX201]": 50365,
+  "[XXXXX202]": 50232,
+  "[XXXXX203]": 50241,
+  "[XXXXX204]": 50548,
+  "[XXXXX205]": 50781,
+  "[XXXXX206]": 50923,
+  "[XXXXX207]": 51115,
+  "[XXXXX208]": 50344,
+  "[XXXXX209]": 50299,
+  "[XXXXX20]": 51031,
+  "[XXXXX210]": 51179,
+  "[XXXXX211]": 51163,
+  "[XXXXX212]": 50562,
+  "[XXXXX213]": 50094,
+  "[XXXXX214]": 50257,
+  "[XXXXX215]": 50967,
+  "[XXXXX216]": 50523,
+  "[XXXXX217]": 51132,
+  "[XXXXX218]": 51146,
+  "[XXXXX219]": 50411,
+  "[XXXXX21]": 50354,
+  "[XXXXX220]": 50853,
+  "[XXXXX221]": 50886,
+  "[XXXXX222]": 50600,
+  "[XXXXX223]": 50873,
+  "[XXXXX224]": 50416,
+  "[XXXXX225]": 50675,
+  "[XXXXX226]": 50583,
+  "[XXXXX227]": 50151,
+  "[XXXXX228]": 50927,
+  "[XXXXX229]": 50609,
+  "[XXXXX22]": 50589,
+  "[XXXXX230]": 50238,
+  "[XXXXX231]": 50242,
+  "[XXXXX232]": 51016,
+  "[XXXXX233]": 50406,
+  "[XXXXX234]": 50908,
+  "[XXXXX235]": 50024,
+  "[XXXXX236]": 50270,
+  "[XXXXX237]": 50132,
+  "[XXXXX238]": 50800,
+  "[XXXXX239]": 50236,
+  "[XXXXX23]": 50007,
+  "[XXXXX240]": 50005,
+  "[XXXXX241]": 50894,
+  "[XXXXX242]": 50694,
+  "[XXXXX243]": 51071,
+  "[XXXXX244]": 51017,
+  "[XXXXX245]": 50068,
+  "[XXXXX246]": 50682,
+  "[XXXXX247]": 50913,
+  "[XXXXX248]": 51028,
+  "[XXXXX249]": 50037,
+  "[XXXXX24]": 51169,
+  "[XXXXX250]": 50747,
+  "[XXXXX251]": 50947,
+  "[XXXXX252]": 50329,
+  "[XXXXX253]": 50612,
+  "[XXXXX254]": 50110,
+  "[XXXXX255]": 50824,
+  "[XXXXX256]": 50558,
+  "[XXXXX257]": 50969,
+  "[XXXXX258]": 50729,
+  "[XXXXX259]": 50125,
+  "[XXXXX25]": 51160,
+  "[XXXXX260]": 50040,
+  "[XXXXX261]": 51038,
+  "[XXXXX262]": 50347,
+  "[XXXXX263]": 50740,
+  "[XXXXX264]": 51195,
+  "[XXXXX265]": 50879,
+  "[XXXXX266]": 50770,
+  "[XXXXX267]": 50178,
+  "[XXXXX268]": 50804,
+  "[XXXXX269]": 50906,
+  "[XXXXX26]": 50150,
+  "[XXXXX270]": 51191,
+  "[XXXXX271]": 50047,
+  "[XXXXX272]": 50195,
+  "[XXXXX273]": 50554,
+  "[XXXXX274]": 50833,
+  "[XXXXX275]": 50346,
+  "[XXXXX276]": 50950,
+  "[XXXXX277]": 50864,
+  "[XXXXX278]": 50259,
+  "[XXXXX279]": 50671,
+  "[XXXXX27]": 50468,
+  "[XXXXX280]": 50082,
+  "[XXXXX281]": 50565,
+  "[XXXXX282]": 50984,
+  "[XXXXX283]": 50650,
+  "[XXXXX284]": 50975,
+  "[XXXXX285]": 50603,
+  "[XXXXX286]": 50027,
+  "[XXXXX287]": 50181,
+  "[XXXXX288]": 50981,
+  "[XXXXX289]": 50885,
+  "[XXXXX28]": 50249,
+  "[XXXXX290]": 50522,
+  "[XXXXX291]": 50050,
+  "[XXXXX292]": 50313,
+  "[XXXXX293]": 50503,
+  "[XXXXX294]": 51176,
+  "[XXXXX295]": 51177,
+  "[XXXXX296]": 50379,
+  "[XXXXX297]": 50635,
+  "[XXXXX298]": 50723,
+  "[XXXXX299]": 50200,
+  "[XXXXX29]": 50892,
+  "[XXXXX2]": 51119,
+  "[XXXXX300]": 51026,
+  "[XXXXX301]": 50528,
+  "[XXXXX302]": 51149,
+  "[XXXXX303]": 50044,
+  "[XXXXX304]": 50209,
+  "[XXXXX305]": 50988,
+  "[XXXXX306]": 50518,
+  "[XXXXX307]": 50088,
+  "[XXXXX308]": 50733,
+  "[XXXXX309]": 51066,
+  "[XXXXX30]": 50506,
+  "[XXXXX310]": 50285,
+  "[XXXXX311]": 50859,
+  "[XXXXX312]": 50263,
+  "[XXXXX313]": 50594,
+  "[XXXXX314]": 51103,
+  "[XXXXX315]": 50871,
+  "[XXXXX316]": 50300,
+  "[XXXXX317]": 50760,
+  "[XXXXX318]": 50055,
+  "[XXXXX319]": 50389,
+  "[XXXXX31]": 50212,
+  "[XXXXX320]": 50444,
+  "[XXXXX321]": 50994,
+  "[XXXXX322]": 50281,
+  "[XXXXX323]": 50179,
+  "[XXXXX324]": 50455,
+  "[XXXXX325]": 50970,
+  "[XXXXX326]": 50666,
+  "[XXXXX327]": 50604,
+  "[XXXXX328]": 50627,
+  "[XXXXX329]": 50475,
+  "[XXXXX32]": 50277,
+  "[XXXXX330]": 50667,
+  "[XXXXX331]": 50348,
+  "[XXXXX332]": 50772,
+  "[XXXXX333]": 50163,
+  "[XXXXX334]": 50569,
+  "[XXXXX335]": 50018,
+  "[XXXXX336]": 50883,
+  "[XXXXX337]": 50067,
+  "[XXXXX338]": 51184,
+  "[XXXXX339]": 50997,
+  "[XXXXX33]": 50403,
+  "[XXXXX340]": 51013,
+  "[XXXXX341]": 50957,
+  "[XXXXX342]": 51106,
+  "[XXXXX343]": 51174,
+  "[XXXXX344]": 50391,
+  "[XXXXX345]": 50948,
+  "[XXXXX346]": 50180,
+  "[XXXXX347]": 50811,
+  "[XXXXX348]": 50401,
+  "[XXXXX349]": 50911,
+  "[XXXXX34]": 50223,
+  "[XXXXX350]": 51089,
+  "[XXXXX351]": 50777,
+  "[XXXXX352]": 50189,
+  "[XXXXX353]": 50492,
+  "[XXXXX354]": 50205,
+  "[XXXXX355]": 50374,
+  "[XXXXX356]": 51152,
+  "[XXXXX357]": 50695,
+  "[XXXXX358]": 51117,
+  "[XXXXX359]": 50573,
+  "[XXXXX35]": 50752,
+  "[XXXXX360]": 50955,
+  "[XXXXX361]": 50349,
+  "[XXXXX362]": 51137,
+  "[XXXXX363]": 50641,
+  "[XXXXX364]": 51148,
+  "[XXXXX365]": 50255,
+  "[XXXXX366]": 50310,
+  "[XXXXX367]": 50314,
+  "[XXXXX368]": 50971,
+  "[XXXXX369]": 50916,
+  "[XXXXX36]": 50437,
+  "[XXXXX370]": 51096,
+  "[XXXXX371]": 50557,
+  "[XXXXX372]": 51095,
+  "[XXXXX373]": 50382,
+  "[XXXXX374]": 50119,
+  "[XXXXX375]": 50958,
+  "[XXXXX376]": 50624,
+  "[XXXXX377]": 50483,
+  "[XXXXX378]": 50605,
+  "[XXXXX379]": 50017,
+  "[XXXXX37]": 50706,
+  "[XXXXX380]": 50246,
+  "[XXXXX381]": 50588,
+  "[XXXXX382]": 51008,
+  "[XXXXX383]": 50801,
+  "[XXXXX384]": 50290,
+  "[XXXXX385]": 50899,
+  "[XXXXX386]": 50206,
+  "[XXXXX387]": 50716,
+  "[XXXXX388]": 51082,
+  "[XXXXX389]": 50177,
+  "[XXXXX38]": 50736,
+  "[XXXXX390]": 50282,
+  "[XXXXX391]": 51183,
+  "[XXXXX392]": 50286,
+  "[XXXXX393]": 50659,
+  "[XXXXX394]": 50378,
+  "[XXXXX395]": 50709,
+  "[XXXXX396]": 50028,
+  "[XXXXX397]": 50235,
+  "[XXXXX398]": 51014,
+  "[XXXXX399]": 50880,
+  "[XXXXX39]": 50305,
+  "[XXXXX3]": 50077,
+  "[XXXXX400]": 50155,
+  "[XXXXX401]": 50710,
+  "[XXXXX402]": 50507,
+  "[XXXXX403]": 50860,
+  "[XXXXX404]": 50661,
+  "[XXXXX405]": 51083,
+  "[XXXXX406]": 50888,
+  "[XXXXX407]": 50069,
+  "[XXXXX408]": 50691,
+  "[XXXXX409]": 51055,
+  "[XXXXX40]": 50337,
+  "[XXXXX410]": 50137,
+  "[XXXXX411]": 50791,
+  "[XXXXX412]": 50136,
+  "[XXXXX413]": 50730,
+  "[XXXXX414]": 50267,
+  "[XXXXX415]": 50012,
+  "[XXXXX416]": 50681,
+  "[XXXXX417]": 50942,
+  "[XXXXX418]": 50720,
+  "[XXXXX419]": 50844,
+  "[XXXXX41]": 50387,
+  "[XXXXX420]": 50111,
+  "[XXXXX421]": 51003,
+  "[XXXXX422]": 50785,
+  "[XXXXX423]": 50149,
+  "[XXXXX424]": 50422,
+  "[XXXXX425]": 51086,
+  "[XXXXX426]": 50862,
+  "[XXXXX427]": 50576,
+  "[XXXXX428]": 51049,
+  "[XXXXX429]": 50630,
+  "[XXXXX42]": 50799,
+  "[XXXXX430]": 50289,
+  "[XXXXX431]": 50184,
+  "[XXXXX432]": 50319,
+  "[XXXXX433]": 51116,
+  "[XXXXX434]": 50519,
+  "[XXXXX435]": 50496,
+  "[XXXXX436]": 50517,
+  "[XXXXX437]": 50865,
+  "[XXXXX438]": 50737,
+  "[XXXXX439]": 50356,
+  "[XXXXX43]": 50359,
+  "[XXXXX440]": 50898,
+  "[XXXXX441]": 50113,
+  "[XXXXX442]": 50527,
+  "[XXXXX443]": 50762,
+  "[XXXXX444]": 50540,
+  "[XXXXX445]": 50925,
+  "[XXXXX446]": 50711,
+  "[XXXXX447]": 50143,
+  "[XXXXX448]": 51170,
+  "[XXXXX449]": 50413,
+  "[XXXXX44]": 50097,
+  "[XXXXX450]": 50375,
+  "[XXXXX451]": 50846,
+  "[XXXXX452]": 50217,
+  "[XXXXX453]": 50699,
+  "[XXXXX454]": 50412,
+  "[XXXXX455]": 50418,
+  "[XXXXX456]": 51143,
+  "[XXXXX457]": 51141,
+  "[XXXXX458]": 51157,
+  "[XXXXX459]": 50825,
+  "[XXXXX45]": 50203,
+  "[XXXXX460]": 50194,
+  "[XXXXX461]": 50148,
+  "[XXXXX462]": 50276,
+  "[XXXXX463]": 50271,
+  "[XXXXX464]": 50836,
+  "[XXXXX465]": 50854,
+  "[XXXXX466]": 50164,
+  "[XXXXX467]": 50484,
+  "[XXXXX468]": 51097,
+  "[XXXXX469]": 50182,
+  "[XXXXX46]": 50505,
+  "[XXXXX470]": 50670,
+  "[XXXXX471]": 50595,
+  "[XXXXX472]": 50237,
+  "[XXXXX473]": 50057,
+  "[XXXXX474]": 50431,
+  "[XXXXX475]": 50738,
+  "[XXXXX476]": 51145,
+  "[XXXXX477]": 50247,
+  "[XXXXX478]": 50029,
+  "[XXXXX479]": 50917,
+  "[XXXXX47]": 50579,
+  "[XXXXX480]": 50702,
+  "[XXXXX481]": 50831,
+  "[XXXXX482]": 50753,
+  "[XXXXX483]": 50598,
+  "[XXXXX484]": 51136,
+  "[XXXXX485]": 50092,
+  "[XXXXX486]": 50202,
+  "[XXXXX487]": 50106,
+  "[XXXXX488]": 50924,
+  "[XXXXX489]": 51113,
+  "[XXXXX48]": 50842,
+  "[XXXXX490]": 50761,
+  "[XXXXX491]": 50577,
+  "[XXXXX492]": 50692,
+  "[XXXXX493]": 51130,
+  "[XXXXX494]": 50932,
+  "[XXXXX495]": 50837,
+  "[XXXXX496]": 50893,
+  "[XXXXX497]": 50773,
+  "[XXXXX498]": 50360,
+  "[XXXXX499]": 50900,
+  "[XXXXX49]": 51062,
+  "[XXXXX4]": 50396,
+  "[XXXXX500]": 51034,
+  "[XXXXX501]": 50472,
+  "[XXXXX502]": 50660,
+  "[XXXXX503]": 50815,
+  "[XXXXX504]": 50939,
+  "[XXXXX505]": 50419,
+  "[XXXXX506]": 50324,
+  "[XXXXX507]": 50428,
+  "[XXXXX508]": 50274,
+  "[XXXXX509]": 50311,
+  "[XXXXX50]": 50459,
+  "[XXXXX510]": 50674,
+  "[XXXXX511]": 50580,
+  "[XXXXX512]": 50956,
+  "[XXXXX513]": 50165,
+  "[XXXXX514]": 50320,
+  "[XXXXX515]": 50648,
+  "[XXXXX516]": 50386,
+  "[XXXXX517]": 50058,
+  "[XXXXX518]": 51045,
+  "[XXXXX519]": 50103,
+  "[XXXXX51]": 50979,
+  "[XXXXX520]": 50530,
+  "[XXXXX521]": 50907,
+  "[XXXXX522]": 50260,
+  "[XXXXX523]": 50632,
+  "[XXXXX524]": 50926,
+  "[XXXXX525]": 50687,
+  "[XXXXX526]": 50160,
+  "[XXXXX527]": 51053,
+  "[XXXXX528]": 50652,
+  "[XXXXX529]": 51041,
+  "[XXXXX52]": 50272,
+  "[XXXXX530]": 51111,
+  "[XXXXX531]": 51009,
+  "[XXXXX532]": 51079,
+  "[XXXXX533]": 50487,
+  "[XXXXX534]": 51059,
+  "[XXXXX535]": 50335,
+  "[XXXXX536]": 50380,
+  "[XXXXX537]": 50301,
+  "[XXXXX538]": 51067,
+  "[XXXXX539]": 51052,
+  "[XXXXX53]": 51048,
+  "[XXXXX540]": 50822,
+  "[XXXXX541]": 51040,
+  "[XXXXX542]": 50490,
+  "[XXXXX543]": 50448,
+  "[XXXXX544]": 50812,
+  "[XXXXX545]": 50099,
+  "[XXXXX546]": 51199,
+  "[XXXXX547]": 50226,
+  "[XXXXX548]": 50538,
+  "[XXXXX549]": 50342,
+  "[XXXXX54]": 50701,
+  "[XXXXX550]": 50544,
+  "[XXXXX551]": 50398,
+  "[XXXXX552]": 51102,
+  "[XXXXX553]": 50919,
+  "[XXXXX554]": 50615,
+  "[XXXXX555]": 50769,
+  "[XXXXX556]": 50940,
+  "[XXXXX557]": 50070,
+  "[XXXXX558]": 50680,
+  "[XXXXX559]": 50611,
+  "[XXXXX55]": 50574,
+  "[XXXXX560]": 50381,
+  "[XXXXX561]": 50350,
+  "[XXXXX562]": 50175,
+  "[XXXXX563]": 50584,
+  "[XXXXX564]": 50703,
+  "[XXXXX565]": 50989,
+  "[XXXXX566]": 50877,
+  "[XXXXX567]": 51039,
+  "[XXXXX568]": 51018,
+  "[XXXXX569]": 50452,
+  "[XXXXX56]": 51099,
+  "[XXXXX570]": 50161,
+  "[XXXXX571]": 50921,
+  "[XXXXX572]": 50676,
+  "[XXXXX573]": 50326,
+  "[XXXXX574]": 50987,
+  "[XXXXX575]": 50361,
+  "[XXXXX576]": 50071,
+  "[XXXXX577]": 50803,
+  "[XXXXX578]": 50400,
+  "[XXXXX579]": 51091,
+  "[XXXXX57]": 50501,
+  "[XXXXX580]": 50887,
+  "[XXXXX581]": 50839,
+  "[XXXXX582]": 51138,
+  "[XXXXX583]": 50816,
+  "[XXXXX584]": 50339,
+  "[XXXXX585]": 50463,
+  "[XXXXX586]": 50399,
+  "[XXXXX587]": 51070,
+  "[XXXXX588]": 50457,
+  "[XXXXX589]": 50828,
+  "[XXXXX58]": 50183,
+  "[XXXXX590]": 50080,
+  "[XXXXX591]": 50550,
+  "[XXXXX592]": 50129,
+  "[XXXXX593]": 50273,
+  "[XXXXX594]": 50388,
+  "[XXXXX595]": 50491,
+  "[XXXXX596]": 50278,
+  "[XXXXX597]": 50011,
+  "[XXXXX598]": 50254,
+  "[XXXXX599]": 50302,
+  "[XXXXX59]": 50353,
+  "[XXXXX5]": 50010,
+  "[XXXXX600]": 50704,
+  "[XXXXX601]": 51118,
+  "[XXXXX602]": 50049,
+  "[XXXXX603]": 51190,
+  "[XXXXX604]": 51142,
+  "[XXXXX605]": 50707,
+  "[XXXXX606]": 50937,
+  "[XXXXX607]": 50875,
+  "[XXXXX608]": 50564,
+  "[XXXXX609]": 50345,
+  "[XXXXX60]": 50713,
+  "[XXXXX610]": 50949,
+  "[XXXXX611]": 50978,
+  "[XXXXX612]": 50330,
+  "[XXXXX613]": 51035,
+  "[XXXXX614]": 50402,
+  "[XXXXX615]": 50176,
+  "[XXXXX616]": 51133,
+  "[XXXXX617]": 50222,
+  "[XXXXX618]": 50118,
+  "[XXXXX619]": 50196,
+  "[XXXXX61]": 50298,
+  "[XXXXX620]": 50668,
+  "[XXXXX621]": 50462,
+  "[XXXXX622]": 50218,
+  "[XXXXX623]": 51101,
+  "[XXXXX624]": 50362,
+  "[XXXXX625]": 50779,
+  "[XXXXX626]": 50513,
+  "[XXXXX627]": 50746,
+  "[XXXXX628]": 50141,
+  "[XXXXX629]": 50479,
+  "[XXXXX62]": 50056,
+  "[XXXXX630]": 51180,
+  "[XXXXX631]": 50872,
+  "[XXXXX632]": 50315,
+  "[XXXXX633]": 50397,
+  "[XXXXX634]": 51165,
+  "[XXXXX635]": 50046,
+  "[XXXXX636]": 50795,
+  "[XXXXX637]": 50959,
+  "[XXXXX638]": 50786,
+  "[XXXXX639]": 50240,
+  "[XXXXX63]": 51061,
+  "[XXXXX640]": 50601,
+  "[XXXXX641]": 50904,
+  "[XXXXX642]": 50376,
+  "[XXXXX643]": 50663,
+  "[XXXXX644]": 50613,
+  "[XXXXX645]": 50467,
+  "[XXXXX646]": 50546,
+  "[XXXXX647]": 50465,
+  "[XXXXX648]": 50395,
+  "[XXXXX649]": 50287,
+  "[XXXXX64]": 51162,
+  "[XXXXX650]": 50474,
+  "[XXXXX651]": 50727,
+  "[XXXXX652]": 50243,
+  "[XXXXX653]": 51100,
+  "[XXXXX654]": 50705,
+  "[XXXXX655]": 51012,
+  "[XXXXX656]": 50447,
+  "[XXXXX657]": 50719,
+  "[XXXXX658]": 50712,
+  "[XXXXX659]": 50476,
+  "[XXXXX65]": 50587,
+  "[XXXXX660]": 51054,
+  "[XXXXX661]": 51166,
+  "[XXXXX662]": 50494,
+  "[XXXXX663]": 50230,
+  "[XXXXX664]": 50621,
+  "[XXXXX665]": 50809,
+  "[XXXXX666]": 50265,
+  "[XXXXX667]": 50645,
+  "[XXXXX668]": 50817,
+  "[XXXXX669]": 50030,
+  "[XXXXX66]": 51029,
+  "[XXXXX670]": 51004,
+  "[XXXXX671]": 50685,
+  "[XXXXX672]": 50625,
+  "[XXXXX673]": 50890,
+  "[XXXXX674]": 50383,
+  "[XXXXX675]": 50929,
+  "[XXXXX676]": 50116,
+  "[XXXXX677]": 51072,
+  "[XXXXX678]": 51126,
+  "[XXXXX679]": 50755,
+  "[XXXXX67]": 50717,
+  "[XXXXX680]": 50303,
+  "[XXXXX681]": 50504,
+  "[XXXXX682]": 51075,
+  "[XXXXX683]": 50261,
+  "[XXXXX684]": 50861,
+  "[XXXXX685]": 50306,
+  "[XXXXX686]": 50016,
+  "[XXXXX687]": 50101,
+  "[XXXXX688]": 51098,
+  "[XXXXX689]": 50827,
+  "[XXXXX68]": 50863,
+  "[XXXXX690]": 50640,
+  "[XXXXX691]": 50031,
+  "[XXXXX692]": 50768,
+  "[XXXXX693]": 50013,
+  "[XXXXX694]": 51032,
+  "[XXXXX695]": 50166,
+  "[XXXXX696]": 50127,
+  "[XXXXX697]": 50414,
+  "[XXXXX698]": 50742,
+  "[XXXXX699]": 51042,
+  "[XXXXX69]": 51112,
+  "[XXXXX6]": 50593,
+  "[XXXXX700]": 50292,
+  "[XXXXX701]": 50174,
+  "[XXXXX702]": 50547,
+  "[XXXXX703]": 50498,
+  "[XXXXX704]": 51078,
+  "[XXXXX705]": 50133,
+  "[XXXXX706]": 50041,
+  "[XXXXX707]": 51181,
+  "[XXXXX708]": 50585,
+  "[XXXXX709]": 50776,
+  "[XXXXX70]": 50053,
+  "[XXXXX710]": 50336,
+  "[XXXXX711]": 50765,
+  "[XXXXX712]": 50224,
+  "[XXXXX713]": 50599,
+  "[XXXXX714]": 50207,
+  "[XXXXX715]": 51043,
+  "[XXXXX716]": 51090,
+  "[XXXXX717]": 50006,
+  "[XXXXX718]": 50901,
+  "[XXXXX719]": 51001,
+  "[XXXXX71]": 50954,
+  "[XXXXX720]": 50646,
+  "[XXXXX721]": 50075,
+  "[XXXXX722]": 51120,
+  "[XXXXX723]": 50215,
+  "[XXXXX724]": 50415,
+  "[XXXXX725]": 50154,
+  "[XXXXX726]": 50935,
+  "[XXXXX727]": 50545,
+  "[XXXXX728]": 51085,
+  "[XXXXX729]": 50256,
+  "[XXXXX72]": 50363,
+  "[XXXXX730]": 50700,
+  "[XXXXX731]": 50262,
+  "[XXXXX732]": 50930,
+  "[XXXXX733]": 50333,
+  "[XXXXX734]": 50884,
+  "[XXXXX735]": 51030,
+  "[XXXXX736]": 50231,
+  "[XXXXX737]": 50405,
+  "[XXXXX738]": 50962,
+  "[XXXXX739]": 50458,
+  "[XXXXX73]": 50019,
+  "[XXXXX740]": 50878,
+  "[XXXXX741]": 50910,
+  "[XXXXX742]": 50170,
+  "[XXXXX743]": 50718,
+  "[XXXXX744]": 50616,
+  "[XXXXX745]": 50358,
+  "[XXXXX746]": 50152,
+  "[XXXXX747]": 50525,
+  "[XXXXX748]": 51167,
+  "[XXXXX749]": 50653,
+  "[XXXXX74]": 50952,
+  "[XXXXX750]": 50500,
+  "[XXXXX751]": 50446,
+  "[XXXXX752]": 50995,
+  "[XXXXX753]": 50945,
+  "[XXXXX754]": 51173,
+  "[XXXXX755]": 50823,
+  "[XXXXX756]": 51060,
+  "[XXXXX757]": 50748,
+  "[XXXXX758]": 50020,
+  "[XXXXX759]": 50197,
+  "[XXXXX75]": 50502,
+  "[XXXXX760]": 50291,
+  "[XXXXX761]": 50821,
+  "[XXXXX762]": 50190,
+  "[XXXXX763]": 50745,
+  "[XXXXX764]": 50778,
+  "[XXXXX765]": 50556,
+  "[XXXXX766]": 51161,
+  "[XXXXX767]": 50466,
+  "[XXXXX768]": 50792,
+  "[XXXXX769]": 50208,
+  "[XXXXX76]": 50169,
+  "[XXXXX770]": 50647,
+  "[XXXXX771]": 50610,
+  "[XXXXX772]": 51140,
+  "[XXXXX773]": 50441,
+  "[XXXXX774]": 50870,
+  "[XXXXX775]": 50368,
+  "[XXXXX776]": 50026,
+  "[XXXXX777]": 50677,
+  "[XXXXX778]": 51168,
+  "[XXXXX779]": 50481,
+  "[XXXXX77]": 50515,
+  "[XXXXX780]": 50225,
+  "[XXXXX781]": 50408,
+  "[XXXXX782]": 50090,
+  "[XXXXX783]": 50951,
+  "[XXXXX784]": 50015,
+  "[XXXXX785]": 50658,
+  "[XXXXX786]": 50617,
+  "[XXXXX787]": 50721,
+  "[XXXXX788]": 51084,
+  "[XXXXX789]": 50830,
+  "[XXXXX78]": 50100,
+  "[XXXXX790]": 50606,
+  "[XXXXX791]": 50124,
+  "[XXXXX792]": 50078,
+  "[XXXXX793]": 51188,
+  "[XXXXX794]": 50750,
+  "[XXXXX795]": 50138,
+  "[XXXXX796]": 50239,
+  "[XXXXX797]": 50385,
+  "[XXXXX798]": 50780,
+  "[XXXXX799]": 50683,
+  "[XXXXX79]": 50436,
+  "[XXXXX7]": 50211,
+  "[XXXXX800]": 51185,
+  "[XXXXX801]": 50250,
+  "[XXXXX802]": 50456,
+  "[XXXXX803]": 50508,
+  "[XXXXX804]": 51194,
+  "[XXXXX805]": 50021,
+  "[XXXXX806]": 50307,
+  "[XXXXX807]": 50199,
+  "[XXXXX808]": 51129,
+  "[XXXXX809]": 50686,
+  "[XXXXX80]": 50370,
+  "[XXXXX810]": 50343,
+  "[XXXXX811]": 50614,
+  "[XXXXX812]": 50636,
+  "[XXXXX813]": 51198,
+  "[XXXXX814]": 50788,
+  "[XXXXX815]": 50120,
+  "[XXXXX816]": 50135,
+  "[XXXXX817]": 50293,
+  "[XXXXX818]": 50153,
+  "[XXXXX819]": 50516,
+  "[XXXXX81]": 50581,
+  "[XXXXX820]": 50586,
+  "[XXXXX821]": 50509,
+  "[XXXXX822]": 50220,
+  "[XXXXX823]": 51068,
+  "[XXXXX824]": 50946,
+  "[XXXXX825]": 50965,
+  "[XXXXX826]": 50032,
+  "[XXXXX827]": 50156,
+  "[XXXXX828]": 50449,
+  "[XXXXX829]": 50531,
+  "[XXXXX82]": 51164,
+  "[XXXXX830]": 50486,
+  "[XXXXX831]": 50357,
+  "[XXXXX832]": 51022,
+  "[XXXXX833]": 50633,
+  "[XXXXX834]": 50754,
+  "[XXXXX835]": 51134,
+  "[XXXXX836]": 50193,
+  "[XXXXX837]": 51088,
+  "[XXXXX838]": 50722,
+  "[XXXXX839]": 50756,
+  "[XXXXX83]": 50977,
+  "[XXXXX840]": 50022,
+  "[XXXXX841]": 51186,
+  "[XXXXX842]": 50575,
+  "[XXXXX843]": 50079,
+  "[XXXXX844]": 50644,
+  "[XXXXX845]": 51033,
+  "[XXXXX846]": 50454,
+  "[XXXXX847]": 50095,
+  "[XXXXX848]": 50902,
+  "[XXXXX849]": 50597,
+  "[XXXXX84]": 50167,
+  "[XXXXX850]": 51051,
+  "[XXXXX851]": 50696,
+  "[XXXXX852]": 50966,
+  "[XXXXX853]": 50034,
+  "[XXXXX854]": 50889,
+  "[XXXXX855]": 50843,
+  "[XXXXX856]": 50963,
+  "[XXXXX857]": 50227,
+  "[XXXXX858]": 51058,
+  "[XXXXX859]": 50850,
+  "[XXXXX85]": 50192,
+  "[XXXXX860]": 50228,
+  "[XXXXX861]": 50570,
+  "[XXXXX862]": 50488,
+  "[XXXXX863]": 50539,
+  "[XXXXX864]": 51182,
+  "[XXXXX865]": 50990,
+  "[XXXXX866]": 50542,
+  "[XXXXX867]": 51069,
+  "[XXXXX868]": 50480,
+  "[XXXXX869]": 50847,
+  "[XXXXX86]": 50874,
+  "[XXXXX870]": 50308,
+  "[XXXXX871]": 50510,
+  "[XXXXX872]": 50423,
+  "[XXXXX873]": 50086,
+  "[XXXXX874]": 50591,
+  "[XXXXX875]": 50728,
+  "[XXXXX876]": 50372,
+  "[XXXXX877]": 50903,
+  "[XXXXX878]": 50868,
+  "[XXXXX879]": 50763,
+  "[XXXXX87]": 50571,
+  "[XXXXX880]": 50096,
+  "[XXXXX881]": 51150,
+  "[XXXXX882]": 50460,
+  "[XXXXX883]": 51087,
+  "[XXXXX884]": 51093,
+  "[XXXXX885]": 50295,
+  "[XXXXX886]": 51037,
+  "[XXXXX887]": 51171,
+  "[XXXXX888]": 50794,
+  "[XXXXX889]": 50628,
+  "[XXXXX88]": 50520,
+  "[XXXXX890]": 51172,
+  "[XXXXX891]": 51046,
+  "[XXXXX892]": 50918,
+  "[XXXXX893]": 50998,
+  "[XXXXX894]": 50371,
+  "[XXXXX895]": 51155,
+  "[XXXXX896]": 50866,
+  "[XXXXX897]": 50229,
+  "[XXXXX898]": 51057,
+  "[XXXXX899]": 50867,
+  "[XXXXX89]": 50537,
+  "[XXXXX8]": 50784,
+  "[XXXXX900]": 50739,
+  "[XXXXX901]": 51080,
+  "[XXXXX902]": 50038,
+  "[XXXXX903]": 50321,
+  "[XXXXX904]": 50774,
+  "[XXXXX905]": 50974,
+  "[XXXXX906]": 50920,
+  "[XXXXX907]": 50469,
+  "[XXXXX908]": 51122,
+  "[XXXXX909]": 51092,
+  "[XXXXX90]": 50514,
+  "[XXXXX910]": 50798,
+  "[XXXXX911]": 50245,
+  "[XXXXX912]": 50367,
+  "[XXXXX913]": 50618,
+  "[XXXXX914]": 50072,
+  "[XXXXX915]": 50450,
+  "[XXXXX916]": 51189,
+  "[XXXXX917]": 50485,
+  "[XXXXX918]": 50283,
+  "[XXXXX919]": 50845,
+  "[XXXXX91]": 50968,
+  "[XXXXX920]": 50429,
+  "[XXXXX921]": 50364,
+  "[XXXXX922]": 50782,
+  "[XXXXX923]": 50534,
+  "[XXXXX924]": 50059,
+  "[XXXXX925]": 50102,
+  "[XXXXX926]": 50185,
+  "[XXXXX927]": 50634,
+  "[XXXXX928]": 50567,
+  "[XXXXX929]": 50895,
+  "[XXXXX92]": 50210,
+  "[XXXXX930]": 50561,
+  "[XXXXX931]": 51021,
+  "[XXXXX932]": 50107,
+  "[XXXXX933]": 50407,
+  "[XXXXX934]": 50654,
+  "[XXXXX935]": 50268,
+  "[XXXXX936]": 51153,
+  "[XXXXX937]": 50552,
+  "[XXXXX938]": 50526,
+  "[XXXXX939]": 50322,
+  "[XXXXX93]": 50912,
+  "[XXXXX940]": 50296,
+  "[XXXXX941]": 50572,
+  "[XXXXX942]": 50393,
+  "[XXXXX943]": 50312,
+  "[XXXXX944]": 50592,
+  "[XXXXX945]": 50982,
+  "[XXXXX946]": 50089,
+  "[XXXXX947]": 50331,
+  "[XXXXX948]": 50279,
+  "[XXXXX949]": 51005,
+  "[XXXXX94]": 50198,
+  "[XXXXX950]": 50114,
+  "[XXXXX951]": 50074,
+  "[XXXXX952]": 50248,
+  "[XXXXX953]": 50857,
+  "[XXXXX954]": 50841,
+  "[XXXXX955]": 51065,
+  "[XXXXX956]": 50234,
+  "[XXXXX957]": 50834,
+  "[XXXXX958]": 50535,
+  "[XXXXX959]": 51109,
+  "[XXXXX95]": 50651,
+  "[XXXXX960]": 50797,
+  "[XXXXX961]": 50914,
+  "[XXXXX962]": 50112,
+  "[XXXXX963]": 50073,
+  "[XXXXX964]": 50559,
+  "[XXXXX965]": 50933,
+  "[XXXXX966]": 50619,
+  "[XXXXX967]": 51187,
+  "[XXXXX968]": 50327,
+  "[XXXXX969]": 50698,
+  "[XXXXX96]": 50420,
+  "[XXXXX970]": 50060,
+  "[XXXXX971]": 50432,
+  "[XXXXX972]": 50620,
+  "[XXXXX973]": 50693,
+  "[XXXXX974]": 50938,
+  "[XXXXX975]": 50983,
+  "[XXXXX976]": 50334,
+  "[XXXXX977]": 50438,
+  "[XXXXX978]": 51154,
+  "[XXXXX979]": 50964,
+  "[XXXXX97]": 50672,
+  "[XXXXX980]": 50511,
+  "[XXXXX981]": 50244,
+  "[XXXXX982]": 50266,
+  "[XXXXX983]": 50134,
+  "[XXXXX984]": 50338,
+  "[XXXXX985]": 51121,
+  "[XXXXX986]": 50323,
+  "[XXXXX987]": 50909,
+  "[XXXXX988]": 51000,
+  "[XXXXX989]": 50036,
+  "[XXXXX98]": 50787,
+  "[XXXXX990]": 50512,
+  "[XXXXX991]": 50191,
+  "[XXXXX992]": 50187,
+  "[XXXXX993]": 51156,
+  "[XXXXX994]": 51135,
+  "[XXXXX995]": 50355,
+  "[XXXXX996]": 51027,
+  "[XXXXX997]": 50297,
+  "[XXXXX998]": 50928,
+  "[XXXXX999]": 50697,
+  "[XXXXX99]": 50980,
+  "[XXXXX9]": 50961
+}
diff --git a/checkpoint-5000/config.json b/checkpoint-5000/config.json
new file mode 100644
index 0000000..000c292
--- /dev/null
+++ b/checkpoint-5000/config.json
@@ -0,0 +1,34 @@
+{
+  "activation_function": "gelu",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50000,
+  "dtype": "bfloat16",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50001,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 512,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": 3072,
+  "n_layer": 12,
+  "n_positions": 512,
+  "pad_token_id": 50002,
+  "prefix": "[CLS]",
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "vocab_size": 51200
+}
diff --git a/checkpoint-5000/generation_config.json b/checkpoint-5000/generation_config.json
new file mode 100644
index 0000000..4c122f0
--- /dev/null
+++ b/checkpoint-5000/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50000,
+  "eos_token_id": [
+    50001
+  ],
+  "pad_token_id": 50002,
+  "transformers_version": "4.56.2"
+}
diff --git a/checkpoint-5000/model.safetensors b/checkpoint-5000/model.safetensors
new file mode 100644
index 0000000..a73fa5f
--- /dev/null
+++ b/checkpoint-5000/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:50cb4119dc0714872bd145d6f698129c473d61da03be43e93ee624bbf8544e1d
+size 249556672
diff --git a/checkpoint-5000/rng_state.pth b/checkpoint-5000/rng_state.pth
new file mode 100644
index 0000000..0da66e0
--- /dev/null
+++ b/checkpoint-5000/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3e9fb78308af1af3bc0373ae51101eeecddce6a139be9bd400c7cdcc6940a846
+size 14645
diff --git a/checkpoint-5000/special_tokens_map.json b/checkpoint-5000/special_tokens_map.json
new file mode 100644
index 0000000..c78a835
--- /dev/null
+++ b/checkpoint-5000/special_tokens_map.json
@@ -0,0 +1,1249 @@
+{
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/checkpoint-5000/spiece.model b/checkpoint-5000/spiece.model
new file mode 100644
index 0000000..85d6e93
--- /dev/null
+++ b/checkpoint-5000/spiece.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:762a1e078899c6ba7ef62ef873a57b860c51cc0518791854659b58b4c89742fe
+size 1170764
diff --git a/checkpoint-5000/tokenizer_config.json b/checkpoint-5000/tokenizer_config.json
new file mode 100644
index 0000000..b27d01f
--- /dev/null
+++ b/checkpoint-5000/tokenizer_config.json
@@ -0,0 +1,10825 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50000": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50001": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50002": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50003": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50004": {
+      "content": "[XXXXX160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50005": {
+      "content": "[XXXXX240]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50006": {
+      "content": "[XXXXX717]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50007": {
+      "content": "[XXXXX23]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50008": {
+      "content": "[XXXXX161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50009": {
+      "content": "[XXXXX1156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50010": {
+      "content": "[XXXXX5]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50011": {
+      "content": "[XXXXX597]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50012": {
+      "content": "[XXXXX415]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50013": {
+      "content": "[XXXXX693]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50014": {
+      "content": "[XXXXX1083]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50015": {
+      "content": "[XXXXX784]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50016": {
+      "content": "[XXXXX686]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50017": {
+      "content": "[XXXXX379]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50018": {
+      "content": "[XXXXX335]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50019": {
+      "content": "[XXXXX73]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50020": {
+      "content": "[XXXXX758]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50021": {
+      "content": "[XXXXX805]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50022": {
+      "content": "[XXXXX840]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50023": {
+      "content": "[XXXXX1037]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50024": {
+      "content": "[XXXXX235]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50025": {
+      "content": "[XXXXX1107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50026": {
+      "content": "[XXXXX776]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50027": {
+      "content": "[XXXXX286]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50028": {
+      "content": "[XXXXX396]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50029": {
+      "content": "[XXXXX478]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50030": {
+      "content": "[XXXXX669]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50031": {
+      "content": "[XXXXX691]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50032": {
+      "content": "[XXXXX826]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50033": {
+      "content": "[XXXXX1150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50034": {
+      "content": "[XXXXX853]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50035": {
+      "content": "[XXXXX130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50036": {
+      "content": "[XXXXX989]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50037": {
+      "content": "[XXXXX249]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50038": {
+      "content": "[XXXXX902]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50039": {
+      "content": "[XXXXX1169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50040": {
+      "content": "[XXXXX260]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50041": {
+      "content": "[XXXXX706]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50042": {
+      "content": "[XXXXX146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50043": {
+      "content": "[XXXXX198]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50044": {
+      "content": "[XXXXX303]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50045": {
+      "content": "[XXXXX1192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50046": {
+      "content": "[XXXXX635]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50047": {
+      "content": "[XXXXX271]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50048": {
+      "content": "[XXXXX1023]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50049": {
+      "content": "[XXXXX602]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50050": {
+      "content": "[XXXXX291]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50051": {
+      "content": "[XXXXX190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50052": {
+      "content": "[XXXXX1055]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50053": {
+      "content": "[XXXXX70]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50054": {
+      "content": "[XXXXX178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50055": {
+      "content": "[XXXXX318]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50056": {
+      "content": "[XXXXX62]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50057": {
+      "content": "[XXXXX473]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50058": {
+      "content": "[XXXXX517]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50059": {
+      "content": "[XXXXX924]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50060": {
+      "content": "[XXXXX970]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50061": {
+      "content": "[XXXXX1033]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50062": {
+      "content": "[XXXXX110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50063": {
+      "content": "[XXXXX1151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50064": {
+      "content": "[XXXXX1189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50065": {
+      "content": "[XXXXX1095]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50066": {
+      "content": "[XXXXX148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50067": {
+      "content": "[XXXXX337]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50068": {
+      "content": "[XXXXX245]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50069": {
+      "content": "[XXXXX407]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50070": {
+      "content": "[XXXXX557]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50071": {
+      "content": "[XXXXX576]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50072": {
+      "content": "[XXXXX914]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50073": {
+      "content": "[XXXXX963]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50074": {
+      "content": "[XXXXX951]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50075": {
+      "content": "[XXXXX721]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50076": {
+      "content": "[XXXXX1174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50077": {
+      "content": "[XXXXX3]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50078": {
+      "content": "[XXXXX792]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50079": {
+      "content": "[XXXXX843]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50080": {
+      "content": "[XXXXX590]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50081": {
+      "content": "[XXXXX118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50082": {
+      "content": "[XXXXX280]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50083": {
+      "content": "[XXXXX1119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50084": {
+      "content": "[XXXXX1025]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50085": {
+      "content": "[XXXXX140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50086": {
+      "content": "[XXXXX873]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50087": {
+      "content": "[XXXXX103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50088": {
+      "content": "[XXXXX307]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50089": {
+      "content": "[XXXXX946]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50090": {
+      "content": "[XXXXX782]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50091": {
+      "content": "[XXXXX100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50092": {
+      "content": "[XXXXX485]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50093": {
+      "content": "[XXXXX151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50094": {
+      "content": "[XXXXX213]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50095": {
+      "content": "[XXXXX847]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50096": {
+      "content": "[XXXXX880]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50097": {
+      "content": "[XXXXX44]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50098": {
+      "content": "[XXXXX1031]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50099": {
+      "content": "[XXXXX545]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50100": {
+      "content": "[XXXXX78]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50101": {
+      "content": "[XXXXX687]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50102": {
+      "content": "[XXXXX925]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50103": {
+      "content": "[XXXXX519]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50104": {
+      "content": "[XXXXX1191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50105": {
+      "content": "[XXXXX13]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50106": {
+      "content": "[XXXXX487]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50107": {
+      "content": "[XXXXX932]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50108": {
+      "content": "[XXXXX119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50109": {
+      "content": "[XXXXX170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50110": {
+      "content": "[XXXXX254]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50111": {
+      "content": "[XXXXX420]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50112": {
+      "content": "[XXXXX962]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50113": {
+      "content": "[XXXXX441]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50114": {
+      "content": "[XXXXX950]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50115": {
+      "content": "[XXXXX18]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50116": {
+      "content": "[XXXXX676]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50117": {
+      "content": "[XXXXX1133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50118": {
+      "content": "[XXXXX618]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50119": {
+      "content": "[XXXXX374]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50120": {
+      "content": "[XXXXX815]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50121": {
+      "content": "[XXXXX1058]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50122": {
+      "content": "[XXXXX1108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50123": {
+      "content": "[XXXXX1144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50124": {
+      "content": "[XXXXX791]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50125": {
+      "content": "[XXXXX259]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50126": {
+      "content": "[XXXXX1074]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50127": {
+      "content": "[XXXXX696]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50128": {
+      "content": "[XXXXX1168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50129": {
+      "content": "[XXXXX592]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50130": {
+      "content": "[XXXXX127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50131": {
+      "content": "[XXXXX136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50132": {
+      "content": "[XXXXX237]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50133": {
+      "content": "[XXXXX705]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50134": {
+      "content": "[XXXXX983]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50135": {
+      "content": "[XXXXX816]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50136": {
+      "content": "[XXXXX412]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50137": {
+      "content": "[XXXXX410]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50138": {
+      "content": "[XXXXX795]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50139": {
+      "content": "[XXXXX101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50140": {
+      "content": "[XXXXX171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50141": {
+      "content": "[XXXXX628]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50142": {
+      "content": "[XXXXX1038]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50143": {
+      "content": "[XXXXX447]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50144": {
+      "content": "[XXXXX1043]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50145": {
+      "content": "[XXXXX147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50146": {
+      "content": "[XXXXX1112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50147": {
+      "content": "[XXXXX186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50148": {
+      "content": "[XXXXX461]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50149": {
+      "content": "[XXXXX423]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50150": {
+      "content": "[XXXXX26]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50151": {
+      "content": "[XXXXX227]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50152": {
+      "content": "[XXXXX746]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50153": {
+      "content": "[XXXXX818]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50154": {
+      "content": "[XXXXX725]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50155": {
+      "content": "[XXXXX400]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50156": {
+      "content": "[XXXXX827]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50157": {
+      "content": "[XXXXX1020]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50158": {
+      "content": "[XXXXX1060]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50159": {
+      "content": "[XXXXX195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50160": {
+      "content": "[XXXXX526]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50161": {
+      "content": "[XXXXX570]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50162": {
+      "content": "[XXXXX174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50163": {
+      "content": "[XXXXX333]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50164": {
+      "content": "[XXXXX466]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50165": {
+      "content": "[XXXXX513]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50166": {
+      "content": "[XXXXX695]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50167": {
+      "content": "[XXXXX84]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50168": {
+      "content": "[XXXXX1080]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50169": {
+      "content": "[XXXXX76]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50170": {
+      "content": "[XXXXX742]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50171": {
+      "content": "[XXXXX1008]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50172": {
+      "content": "[XXXXX1123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50173": {
+      "content": "[XXXXX1145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50174": {
+      "content": "[XXXXX701]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50175": {
+      "content": "[XXXXX562]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50176": {
+      "content": "[XXXXX615]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50177": {
+      "content": "[XXXXX389]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50178": {
+      "content": "[XXXXX267]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50179": {
+      "content": "[XXXXX323]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50180": {
+      "content": "[XXXXX346]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50181": {
+      "content": "[XXXXX287]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50182": {
+      "content": "[XXXXX469]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50183": {
+      "content": "[XXXXX58]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50184": {
+      "content": "[XXXXX431]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50185": {
+      "content": "[XXXXX926]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50186": {
+      "content": "[XXXXX1182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50187": {
+      "content": "[XXXXX992]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50188": {
+      "content": "[XXXXX185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50189": {
+      "content": "[XXXXX352]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50190": {
+      "content": "[XXXXX762]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50191": {
+      "content": "[XXXXX991]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50192": {
+      "content": "[XXXXX85]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50193": {
+      "content": "[XXXXX836]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50194": {
+      "content": "[XXXXX460]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50195": {
+      "content": "[XXXXX272]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50196": {
+      "content": "[XXXXX619]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50197": {
+      "content": "[XXXXX759]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50198": {
+      "content": "[XXXXX94]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50199": {
+      "content": "[XXXXX807]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50200": {
+      "content": "[XXXXX299]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50201": {
+      "content": "[XXXXX187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50202": {
+      "content": "[XXXXX486]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50203": {
+      "content": "[XXXXX45]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50204": {
+      "content": "[XXXXX1036]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50205": {
+      "content": "[XXXXX354]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50206": {
+      "content": "[XXXXX386]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50207": {
+      "content": "[XXXXX714]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50208": {
+      "content": "[XXXXX769]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50209": {
+      "content": "[XXXXX304]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50210": {
+      "content": "[XXXXX92]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50211": {
+      "content": "[XXXXX7]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50212": {
+      "content": "[XXXXX31]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50213": {
+      "content": "[XXXXX102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50214": {
+      "content": "[XXXXX163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50215": {
+      "content": "[XXXXX723]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50216": {
+      "content": "[XXXXX1042]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50217": {
+      "content": "[XXXXX452]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50218": {
+      "content": "[XXXXX622]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50219": {
+      "content": "[XXXXX1056]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50220": {
+      "content": "[XXXXX822]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50221": {
+      "content": "[XXXXX125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50222": {
+      "content": "[XXXXX617]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50223": {
+      "content": "[XXXXX34]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50224": {
+      "content": "[XXXXX712]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50225": {
+      "content": "[XXXXX780]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50226": {
+      "content": "[XXXXX547]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50227": {
+      "content": "[XXXXX857]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50228": {
+      "content": "[XXXXX860]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50229": {
+      "content": "[XXXXX897]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50230": {
+      "content": "[XXXXX663]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50231": {
+      "content": "[XXXXX736]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50232": {
+      "content": "[XXXXX202]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50233": {
+      "content": "[XXXXX1029]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50234": {
+      "content": "[XXXXX956]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50235": {
+      "content": "[XXXXX397]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50236": {
+      "content": "[XXXXX239]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50237": {
+      "content": "[XXXXX472]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50238": {
+      "content": "[XXXXX230]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50239": {
+      "content": "[XXXXX796]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50240": {
+      "content": "[XXXXX639]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50241": {
+      "content": "[XXXXX203]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50242": {
+      "content": "[XXXXX231]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50243": {
+      "content": "[XXXXX652]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50244": {
+      "content": "[XXXXX981]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50245": {
+      "content": "[XXXXX911]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50246": {
+      "content": "[XXXXX380]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50247": {
+      "content": "[XXXXX477]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50248": {
+      "content": "[XXXXX952]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50249": {
+      "content": "[XXXXX28]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50250": {
+      "content": "[XXXXX801]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50251": {
+      "content": "[XXXXX1134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50252": {
+      "content": "[XXXXX1176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50253": {
+      "content": "[XXXXX180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50254": {
+      "content": "[XXXXX598]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50255": {
+      "content": "[XXXXX365]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50256": {
+      "content": "[XXXXX729]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50257": {
+      "content": "[XXXXX214]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50258": {
+      "content": "[XXXXX1117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50259": {
+      "content": "[XXXXX278]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50260": {
+      "content": "[XXXXX522]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50261": {
+      "content": "[XXXXX683]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50262": {
+      "content": "[XXXXX731]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50263": {
+      "content": "[XXXXX312]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "[XXXXX1178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50265": {
+      "content": "[XXXXX666]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50266": {
+      "content": "[XXXXX982]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50267": {
+      "content": "[XXXXX414]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50268": {
+      "content": "[XXXXX935]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50269": {
+      "content": "[XXXXX1089]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50270": {
+      "content": "[XXXXX236]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50271": {
+      "content": "[XXXXX463]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50272": {
+      "content": "[XXXXX52]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50273": {
+      "content": "[XXXXX593]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50274": {
+      "content": "[XXXXX508]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50275": {
+      "content": "[XXXXX1125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50276": {
+      "content": "[XXXXX462]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50277": {
+      "content": "[XXXXX32]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50278": {
+      "content": "[XXXXX596]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50279": {
+      "content": "[XXXXX948]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50280": {
+      "content": "[XXXXX150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50281": {
+      "content": "[XXXXX322]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50282": {
+      "content": "[XXXXX390]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50283": {
+      "content": "[XXXXX918]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50284": {
+      "content": "[XXXXX157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50285": {
+      "content": "[XXXXX310]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50286": {
+      "content": "[XXXXX392]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50287": {
+      "content": "[XXXXX649]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50288": {
+      "content": "[XXXXX158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50289": {
+      "content": "[XXXXX430]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50290": {
+      "content": "[XXXXX384]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50291": {
+      "content": "[XXXXX760]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50292": {
+      "content": "[XXXXX700]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50293": {
+      "content": "[XXXXX817]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50294": {
+      "content": "[XXXXX115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50295": {
+      "content": "[XXXXX885]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50296": {
+      "content": "[XXXXX940]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50297": {
+      "content": "[XXXXX997]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50298": {
+      "content": "[XXXXX61]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50299": {
+      "content": "[XXXXX209]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50300": {
+      "content": "[XXXXX316]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50301": {
+      "content": "[XXXXX537]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50302": {
+      "content": "[XXXXX599]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50303": {
+      "content": "[XXXXX680]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50304": {
+      "content": "[XXXXX135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50305": {
+      "content": "[XXXXX39]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50306": {
+      "content": "[XXXXX685]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50307": {
+      "content": "[XXXXX806]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50308": {
+      "content": "[XXXXX870]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50309": {
+      "content": "[XXXXX1096]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50310": {
+      "content": "[XXXXX366]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50311": {
+      "content": "[XXXXX509]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50312": {
+      "content": "[XXXXX943]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50313": {
+      "content": "[XXXXX292]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50314": {
+      "content": "[XXXXX367]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50315": {
+      "content": "[XXXXX632]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50316": {
+      "content": "[XXXXX1136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50317": {
+      "content": "[XXXXX156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50318": {
+      "content": "[XXXXX1100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50319": {
+      "content": "[XXXXX432]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50320": {
+      "content": "[XXXXX514]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50321": {
+      "content": "[XXXXX903]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50322": {
+      "content": "[XXXXX939]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50323": {
+      "content": "[XXXXX986]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50324": {
+      "content": "[XXXXX506]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50325": {
+      "content": "[XXXXX10]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50326": {
+      "content": "[XXXXX573]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50327": {
+      "content": "[XXXXX968]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50328": {
+      "content": "[XXXXX1039]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50329": {
+      "content": "[XXXXX252]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50330": {
+      "content": "[XXXXX612]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50331": {
+      "content": "[XXXXX947]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50332": {
+      "content": "[XXXXX1162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50333": {
+      "content": "[XXXXX733]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50334": {
+      "content": "[XXXXX976]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50335": {
+      "content": "[XXXXX535]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50336": {
+      "content": "[XXXXX710]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50337": {
+      "content": "[XXXXX40]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50338": {
+      "content": "[XXXXX984]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50339": {
+      "content": "[XXXXX584]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50340": {
+      "content": "[XXXXX132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50341": {
+      "content": "[XXXXX1084]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50342": {
+      "content": "[XXXXX549]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50343": {
+      "content": "[XXXXX810]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50344": {
+      "content": "[XXXXX208]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50345": {
+      "content": "[XXXXX609]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50346": {
+      "content": "[XXXXX275]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50347": {
+      "content": "[XXXXX262]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50348": {
+      "content": "[XXXXX331]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50349": {
+      "content": "[XXXXX361]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50350": {
+      "content": "[XXXXX561]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50351": {
+      "content": "[XXXXX143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50352": {
+      "content": "[XXXXX1061]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50353": {
+      "content": "[XXXXX59]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50354": {
+      "content": "[XXXXX21]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50355": {
+      "content": "[XXXXX995]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50356": {
+      "content": "[XXXXX439]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50357": {
+      "content": "[XXXXX831]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50358": {
+      "content": "[XXXXX745]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50359": {
+      "content": "[XXXXX43]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50360": {
+      "content": "[XXXXX498]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50361": {
+      "content": "[XXXXX575]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50362": {
+      "content": "[XXXXX624]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50363": {
+      "content": "[XXXXX72]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50364": {
+      "content": "[XXXXX921]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50365": {
+      "content": "[XXXXX201]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50366": {
+      "content": "[XXXXX1171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50367": {
+      "content": "[XXXXX912]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50368": {
+      "content": "[XXXXX775]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50369": {
+      "content": "[XXXXX1094]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50370": {
+      "content": "[XXXXX80]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50371": {
+      "content": "[XXXXX894]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50372": {
+      "content": "[XXXXX876]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50373": {
+      "content": "[XXXXX1143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50374": {
+      "content": "[XXXXX355]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50375": {
+      "content": "[XXXXX450]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50376": {
+      "content": "[XXXXX642]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50377": {
+      "content": "[XXXXX162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50378": {
+      "content": "[XXXXX394]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50379": {
+      "content": "[XXXXX296]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50380": {
+      "content": "[XXXXX536]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50381": {
+      "content": "[XXXXX560]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50382": {
+      "content": "[XXXXX373]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50383": {
+      "content": "[XXXXX674]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50384": {
+      "content": "[XXXXX1099]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50385": {
+      "content": "[XXXXX797]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50386": {
+      "content": "[XXXXX516]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50387": {
+      "content": "[XXXXX41]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50388": {
+      "content": "[XXXXX594]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50389": {
+      "content": "[XXXXX319]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50390": {
+      "content": "[XXXXX165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50391": {
+      "content": "[XXXXX344]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50392": {
+      "content": "[XXXXX1012]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50393": {
+      "content": "[XXXXX942]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50394": {
+      "content": "[XXXXX1071]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50395": {
+      "content": "[XXXXX648]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50396": {
+      "content": "[XXXXX4]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50397": {
+      "content": "[XXXXX633]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50398": {
+      "content": "[XXXXX551]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50399": {
+      "content": "[XXXXX586]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50400": {
+      "content": "[XXXXX578]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50401": {
+      "content": "[XXXXX348]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50402": {
+      "content": "[XXXXX614]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50403": {
+      "content": "[XXXXX33]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50404": {
+      "content": "[XXXXX1193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50405": {
+      "content": "[XXXXX737]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50406": {
+      "content": "[XXXXX233]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50407": {
+      "content": "[XXXXX933]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50408": {
+      "content": "[XXXXX781]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50409": {
+      "content": "[XXXXX189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50410": {
+      "content": "[XXXXX1006]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50411": {
+      "content": "[XXXXX219]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50412": {
+      "content": "[XXXXX454]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50413": {
+      "content": "[XXXXX449]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50414": {
+      "content": "[XXXXX697]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50415": {
+      "content": "[XXXXX724]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50416": {
+      "content": "[XXXXX224]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50417": {
+      "content": "[XXXXX1157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50418": {
+      "content": "[XXXXX455]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50419": {
+      "content": "[XXXXX505]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50420": {
+      "content": "[XXXXX96]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50421": {
+      "content": "[XXXXX182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50422": {
+      "content": "[XXXXX424]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50423": {
+      "content": "[XXXXX872]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50424": {
+      "content": "[XXXXX1163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50425": {
+      "content": "[XXXXX1081]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50426": {
+      "content": "[XXXXX1173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50427": {
+      "content": "[XXXXX172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50428": {
+      "content": "[XXXXX507]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50429": {
+      "content": "[XXXXX920]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50430": {
+      "content": "[XXXXX1126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50431": {
+      "content": "[XXXXX474]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50432": {
+      "content": "[XXXXX971]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50433": {
+      "content": "[XXXXX1049]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50434": {
+      "content": "[XXXXX1114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50435": {
+      "content": "[XXXXX1040]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50436": {
+      "content": "[XXXXX79]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50437": {
+      "content": "[XXXXX36]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50438": {
+      "content": "[XXXXX977]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50439": {
+      "content": "[XXXXX1129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50440": {
+      "content": "[XXXXX1063]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50441": {
+      "content": "[XXXXX773]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50442": {
+      "content": "[XXXXX16]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50443": {
+      "content": "[XXXXX113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50444": {
+      "content": "[XXXXX320]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50445": {
+      "content": "[XXXXX167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50446": {
+      "content": "[XXXXX751]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50447": {
+      "content": "[XXXXX656]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50448": {
+      "content": "[XXXXX543]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50449": {
+      "content": "[XXXXX828]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50450": {
+      "content": "[XXXXX915]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50451": {
+      "content": "[XXXXX1098]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50452": {
+      "content": "[XXXXX569]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50453": {
+      "content": "[XXXXX1166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50454": {
+      "content": "[XXXXX846]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50455": {
+      "content": "[XXXXX324]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50456": {
+      "content": "[XXXXX802]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50457": {
+      "content": "[XXXXX588]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50458": {
+      "content": "[XXXXX739]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50459": {
+      "content": "[XXXXX50]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50460": {
+      "content": "[XXXXX882]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50461": {
+      "content": "[XXXXX1054]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50462": {
+      "content": "[XXXXX621]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50463": {
+      "content": "[XXXXX585]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50464": {
+      "content": "[XXXXX121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50465": {
+      "content": "[XXXXX647]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50466": {
+      "content": "[XXXXX767]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50467": {
+      "content": "[XXXXX645]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50468": {
+      "content": "[XXXXX27]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50469": {
+      "content": "[XXXXX907]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50470": {
+      "content": "[XXXXX1109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50471": {
+      "content": "[XXXXX1147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50472": {
+      "content": "[XXXXX501]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50473": {
+      "content": "[XXXXX1164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50474": {
+      "content": "[XXXXX650]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50475": {
+      "content": "[XXXXX329]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50476": {
+      "content": "[XXXXX659]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50477": {
+      "content": "[XXXXX1158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50478": {
+      "content": "[XXXXX104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50479": {
+      "content": "[XXXXX629]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50480": {
+      "content": "[XXXXX868]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50481": {
+      "content": "[XXXXX779]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50482": {
+      "content": "[XXXXX17]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50483": {
+      "content": "[XXXXX377]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50484": {
+      "content": "[XXXXX467]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50485": {
+      "content": "[XXXXX917]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50486": {
+      "content": "[XXXXX830]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50487": {
+      "content": "[XXXXX533]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50488": {
+      "content": "[XXXXX862]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50489": {
+      "content": "[XXXXX1041]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50490": {
+      "content": "[XXXXX542]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50491": {
+      "content": "[XXXXX595]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50492": {
+      "content": "[XXXXX353]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50493": {
+      "content": "[XXXXX181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50494": {
+      "content": "[XXXXX662]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50495": {
+      "content": "[XXXXX1195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50496": {
+      "content": "[XXXXX435]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50497": {
+      "content": "[XXXXX1051]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50498": {
+      "content": "[XXXXX703]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50499": {
+      "content": "[XXXXX1140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50500": {
+      "content": "[XXXXX750]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50501": {
+      "content": "[XXXXX57]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50502": {
+      "content": "[XXXXX75]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50503": {
+      "content": "[XXXXX293]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50504": {
+      "content": "[XXXXX681]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50505": {
+      "content": "[XXXXX46]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50506": {
+      "content": "[XXXXX30]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50507": {
+      "content": "[XXXXX402]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50508": {
+      "content": "[XXXXX803]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50509": {
+      "content": "[XXXXX821]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50510": {
+      "content": "[XXXXX871]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50511": {
+      "content": "[XXXXX980]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50512": {
+      "content": "[XXXXX990]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50513": {
+      "content": "[XXXXX626]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50514": {
+      "content": "[XXXXX90]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50515": {
+      "content": "[XXXXX77]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50516": {
+      "content": "[XXXXX819]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50517": {
+      "content": "[XXXXX436]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50518": {
+      "content": "[XXXXX306]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50519": {
+      "content": "[XXXXX434]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50520": {
+      "content": "[XXXXX88]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50521": {
+      "content": "[XXXXX184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50522": {
+      "content": "[XXXXX290]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50523": {
+      "content": "[XXXXX216]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50524": {
+      "content": "[XXXXX176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50525": {
+      "content": "[XXXXX747]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50526": {
+      "content": "[XXXXX938]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50527": {
+      "content": "[XXXXX442]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50528": {
+      "content": "[XXXXX301]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50529": {
+      "content": "[XXXXX1015]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50530": {
+      "content": "[XXXXX520]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50531": {
+      "content": "[XXXXX829]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50532": {
+      "content": "[XXXXX106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50533": {
+      "content": "[XXXXX1048]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50534": {
+      "content": "[XXXXX923]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50535": {
+      "content": "[XXXXX958]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50536": {
+      "content": "[XXXXX1130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50537": {
+      "content": "[XXXXX89]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50538": {
+      "content": "[XXXXX548]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50539": {
+      "content": "[XXXXX863]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50540": {
+      "content": "[XXXXX444]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50541": {
+      "content": "[XXXXX1149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50542": {
+      "content": "[XXXXX866]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50543": {
+      "content": "[XXXXX109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50544": {
+      "content": "[XXXXX550]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50545": {
+      "content": "[XXXXX727]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50546": {
+      "content": "[XXXXX646]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50547": {
+      "content": "[XXXXX702]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50548": {
+      "content": "[XXXXX204]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50549": {
+      "content": "[XXXXX1000]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50550": {
+      "content": "[XXXXX591]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50551": {
+      "content": "[XXXXX1128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50552": {
+      "content": "[XXXXX937]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50553": {
+      "content": "[XXXXX141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50554": {
+      "content": "[XXXXX273]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50555": {
+      "content": "[XXXXX1183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50556": {
+      "content": "[XXXXX765]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50557": {
+      "content": "[XXXXX371]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50558": {
+      "content": "[XXXXX256]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50559": {
+      "content": "[XXXXX964]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50560": {
+      "content": "[XXXXX1148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50561": {
+      "content": "[XXXXX930]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50562": {
+      "content": "[XXXXX212]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50563": {
+      "content": "[XXXXX133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50564": {
+      "content": "[XXXXX608]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50565": {
+      "content": "[XXXXX281]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50566": {
+      "content": "[XXXXX1045]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50567": {
+      "content": "[XXXXX928]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50568": {
+      "content": "[XXXXX1154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50569": {
+      "content": "[XXXXX334]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50570": {
+      "content": "[XXXXX861]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50571": {
+      "content": "[XXXXX87]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50572": {
+      "content": "[XXXXX941]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50573": {
+      "content": "[XXXXX359]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50574": {
+      "content": "[XXXXX55]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50575": {
+      "content": "[XXXXX842]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50576": {
+      "content": "[XXXXX427]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50577": {
+      "content": "[XXXXX491]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50578": {
+      "content": "[XXXXX137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50579": {
+      "content": "[XXXXX47]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50580": {
+      "content": "[XXXXX511]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50581": {
+      "content": "[XXXXX81]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50582": {
+      "content": "[XXXXX139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50583": {
+      "content": "[XXXXX226]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50584": {
+      "content": "[XXXXX563]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50585": {
+      "content": "[XXXXX708]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50586": {
+      "content": "[XXXXX820]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50587": {
+      "content": "[XXXXX65]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50588": {
+      "content": "[XXXXX381]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50589": {
+      "content": "[XXXXX22]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50590": {
+      "content": "[XXXXX1064]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50591": {
+      "content": "[XXXXX874]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50592": {
+      "content": "[XXXXX944]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50593": {
+      "content": "[XXXXX6]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50594": {
+      "content": "[XXXXX313]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50595": {
+      "content": "[XXXXX471]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50596": {
+      "content": "[XXXXX1118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50597": {
+      "content": "[XXXXX849]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50598": {
+      "content": "[XXXXX483]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50599": {
+      "content": "[XXXXX713]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50600": {
+      "content": "[XXXXX222]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50601": {
+      "content": "[XXXXX640]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50602": {
+      "content": "[XXXXX12]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50603": {
+      "content": "[XXXXX285]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50604": {
+      "content": "[XXXXX327]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50605": {
+      "content": "[XXXXX378]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50606": {
+      "content": "[XXXXX790]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50607": {
+      "content": "[XXXXX1179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50608": {
+      "content": "[XXXXX15]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50609": {
+      "content": "[XXXXX229]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50610": {
+      "content": "[XXXXX771]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50611": {
+      "content": "[XXXXX559]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50612": {
+      "content": "[XXXXX253]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50613": {
+      "content": "[XXXXX644]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50614": {
+      "content": "[XXXXX811]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50615": {
+      "content": "[XXXXX554]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50616": {
+      "content": "[XXXXX744]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50617": {
+      "content": "[XXXXX786]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50618": {
+      "content": "[XXXXX913]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50619": {
+      "content": "[XXXXX966]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50620": {
+      "content": "[XXXXX972]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50621": {
+      "content": "[XXXXX664]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50622": {
+      "content": "[XXXXX1131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50623": {
+      "content": "[XXXXX1132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50624": {
+      "content": "[XXXXX376]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50625": {
+      "content": "[XXXXX672]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50626": {
+      "content": "[XXXXX1013]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50627": {
+      "content": "[XXXXX328]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50628": {
+      "content": "[XXXXX889]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50629": {
+      "content": "[XXXXX1141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50630": {
+      "content": "[XXXXX429]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50631": {
+      "content": "[XXXXX114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50632": {
+      "content": "[XXXXX523]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50633": {
+      "content": "[XXXXX833]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50634": {
+      "content": "[XXXXX927]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50635": {
+      "content": "[XXXXX297]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50636": {
+      "content": "[XXXXX812]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50637": {
+      "content": "[XXXXX1062]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50638": {
+      "content": "[XXXXX152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50639": {
+      "content": "[XXXXX1010]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50640": {
+      "content": "[XXXXX690]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50641": {
+      "content": "[XXXXX363]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50642": {
+      "content": "[XXXXX1103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50643": {
+      "content": "[XXXXX194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50644": {
+      "content": "[XXXXX844]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50645": {
+      "content": "[XXXXX667]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50646": {
+      "content": "[XXXXX720]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50647": {
+      "content": "[XXXXX770]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50648": {
+      "content": "[XXXXX515]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50649": {
+      "content": "[XXXXX196]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50650": {
+      "content": "[XXXXX283]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50651": {
+      "content": "[XXXXX95]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50652": {
+      "content": "[XXXXX528]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50653": {
+      "content": "[XXXXX749]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50654": {
+      "content": "[XXXXX934]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50655": {
+      "content": "[XXXXX1052]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50656": {
+      "content": "[XXXXX1188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50657": {
+      "content": "[XXXXX1001]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50658": {
+      "content": "[XXXXX785]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50659": {
+      "content": "[XXXXX393]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50660": {
+      "content": "[XXXXX502]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50661": {
+      "content": "[XXXXX404]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50662": {
+      "content": "[XXXXX129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50663": {
+      "content": "[XXXXX643]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50664": {
+      "content": "[XXXXX1086]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50665": {
+      "content": "[XXXXX1104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50666": {
+      "content": "[XXXXX326]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50667": {
+      "content": "[XXXXX330]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50668": {
+      "content": "[XXXXX620]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50669": {
+      "content": "[XXXXX193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50670": {
+      "content": "[XXXXX470]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50671": {
+      "content": "[XXXXX279]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50672": {
+      "content": "[XXXXX97]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50673": {
+      "content": "[XXXXX177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50674": {
+      "content": "[XXXXX510]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50675": {
+      "content": "[XXXXX225]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50676": {
+      "content": "[XXXXX572]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50677": {
+      "content": "[XXXXX777]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50678": {
+      "content": "[XXXXX1135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50679": {
+      "content": "[XXXXX1160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50680": {
+      "content": "[XXXXX558]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50681": {
+      "content": "[XXXXX416]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50682": {
+      "content": "[XXXXX246]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50683": {
+      "content": "[XXXXX799]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50684": {
+      "content": "[XXXXX153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50685": {
+      "content": "[XXXXX671]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50686": {
+      "content": "[XXXXX809]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50687": {
+      "content": "[XXXXX525]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50688": {
+      "content": "[XXXXX1004]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50689": {
+      "content": "[XXXXX1005]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50690": {
+      "content": "[XXXXX1194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50691": {
+      "content": "[XXXXX408]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50692": {
+      "content": "[XXXXX492]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50693": {
+      "content": "[XXXXX973]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50694": {
+      "content": "[XXXXX242]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50695": {
+      "content": "[XXXXX357]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50696": {
+      "content": "[XXXXX851]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50697": {
+      "content": "[XXXXX999]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50698": {
+      "content": "[XXXXX969]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50699": {
+      "content": "[XXXXX453]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50700": {
+      "content": "[XXXXX730]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50701": {
+      "content": "[XXXXX54]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50702": {
+      "content": "[XXXXX480]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50703": {
+      "content": "[XXXXX564]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50704": {
+      "content": "[XXXXX600]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50705": {
+      "content": "[XXXXX654]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50706": {
+      "content": "[XXXXX37]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50707": {
+      "content": "[XXXXX605]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50708": {
+      "content": "[XXXXX164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50709": {
+      "content": "[XXXXX395]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50710": {
+      "content": "[XXXXX401]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50711": {
+      "content": "[XXXXX446]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50712": {
+      "content": "[XXXXX658]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50713": {
+      "content": "[XXXXX60]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50714": {
+      "content": "[XXXXX107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50715": {
+      "content": "[XXXXX131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50716": {
+      "content": "[XXXXX387]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50717": {
+      "content": "[XXXXX67]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50718": {
+      "content": "[XXXXX743]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50719": {
+      "content": "[XXXXX657]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50720": {
+      "content": "[XXXXX418]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50721": {
+      "content": "[XXXXX787]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50722": {
+      "content": "[XXXXX838]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50723": {
+      "content": "[XXXXX298]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50724": {
+      "content": "[XXXXX1007]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50725": {
+      "content": "[XXXXX1027]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50726": {
+      "content": "[XXXXX1078]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50727": {
+      "content": "[XXXXX651]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50728": {
+      "content": "[XXXXX875]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50729": {
+      "content": "[XXXXX258]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50730": {
+      "content": "[XXXXX413]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50731": {
+      "content": "[XXXXX1092]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50732": {
+      "content": "[XXXXX124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50733": {
+      "content": "[XXXXX308]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50734": {
+      "content": "[XXXXX1085]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50735": {
+      "content": "[XXXXX1170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50736": {
+      "content": "[XXXXX38]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50737": {
+      "content": "[XXXXX438]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50738": {
+      "content": "[XXXXX475]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50739": {
+      "content": "[XXXXX900]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50740": {
+      "content": "[XXXXX263]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50741": {
+      "content": "[XXXXX166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50742": {
+      "content": "[XXXXX698]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50743": {
+      "content": "[XXXXX1127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50744": {
+      "content": "[XXXXX1181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50745": {
+      "content": "[XXXXX763]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50746": {
+      "content": "[XXXXX627]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50747": {
+      "content": "[XXXXX250]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50748": {
+      "content": "[XXXXX757]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50749": {
+      "content": "[XXXXX142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50750": {
+      "content": "[XXXXX794]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50751": {
+      "content": "[XXXXX128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50752": {
+      "content": "[XXXXX35]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50753": {
+      "content": "[XXXXX482]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50754": {
+      "content": "[XXXXX834]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50755": {
+      "content": "[XXXXX679]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50756": {
+      "content": "[XXXXX839]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50757": {
+      "content": "[XXXXX138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50758": {
+      "content": "[XXXXX1066]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50759": {
+      "content": "[XXXXX116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50760": {
+      "content": "[XXXXX317]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50761": {
+      "content": "[XXXXX490]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50762": {
+      "content": "[XXXXX443]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50763": {
+      "content": "[XXXXX879]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50764": {
+      "content": "[XXXXX1101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50765": {
+      "content": "[XXXXX711]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50766": {
+      "content": "[XXXXX123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50767": {
+      "content": "[XXXXX1152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50768": {
+      "content": "[XXXXX692]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50769": {
+      "content": "[XXXXX555]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50770": {
+      "content": "[XXXXX266]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50771": {
+      "content": "[XXXXX0]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50772": {
+      "content": "[XXXXX332]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50773": {
+      "content": "[XXXXX497]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50774": {
+      "content": "[XXXXX904]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50775": {
+      "content": "[XXXXX1019]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50776": {
+      "content": "[XXXXX709]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50777": {
+      "content": "[XXXXX351]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50778": {
+      "content": "[XXXXX764]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50779": {
+      "content": "[XXXXX625]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50780": {
+      "content": "[XXXXX798]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50781": {
+      "content": "[XXXXX205]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50782": {
+      "content": "[XXXXX922]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50783": {
+      "content": "[XXXXX1075]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50784": {
+      "content": "[XXXXX8]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50785": {
+      "content": "[XXXXX422]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50786": {
+      "content": "[XXXXX638]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50787": {
+      "content": "[XXXXX98]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50788": {
+      "content": "[XXXXX814]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50789": {
+      "content": "[XXXXX1057]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50790": {
+      "content": "[XXXXX1070]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50791": {
+      "content": "[XXXXX411]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50792": {
+      "content": "[XXXXX768]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50793": {
+      "content": "[XXXXX1165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50794": {
+      "content": "[XXXXX888]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50795": {
+      "content": "[XXXXX636]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50796": {
+      "content": "[XXXXX1047]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50797": {
+      "content": "[XXXXX960]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50798": {
+      "content": "[XXXXX910]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50799": {
+      "content": "[XXXXX42]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50800": {
+      "content": "[XXXXX238]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50801": {
+      "content": "[XXXXX383]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50802": {
+      "content": "[XXXXX1032]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50803": {
+      "content": "[XXXXX577]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50804": {
+      "content": "[XXXXX268]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50805": {
+      "content": "[XXXXX179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50806": {
+      "content": "[XXXXX1076]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50807": {
+      "content": "[XXXXX1167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50808": {
+      "content": "[XXXXX1172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50809": {
+      "content": "[XXXXX665]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50810": {
+      "content": "[XXXXX126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50811": {
+      "content": "[XXXXX347]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50812": {
+      "content": "[XXXXX544]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50813": {
+      "content": "[XXXXX1026]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50814": {
+      "content": "[XXXXX159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50815": {
+      "content": "[XXXXX503]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50816": {
+      "content": "[XXXXX583]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50817": {
+      "content": "[XXXXX668]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50818": {
+      "content": "[XXXXX1115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50819": {
+      "content": "[XXXXX112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50820": {
+      "content": "[XXXXX154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50821": {
+      "content": "[XXXXX761]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50822": {
+      "content": "[XXXXX540]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50823": {
+      "content": "[XXXXX755]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50824": {
+      "content": "[XXXXX255]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50825": {
+      "content": "[XXXXX459]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50826": {
+      "content": "[XXXXX1090]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50827": {
+      "content": "[XXXXX689]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50828": {
+      "content": "[XXXXX589]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50829": {
+      "content": "[XXXXX122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50830": {
+      "content": "[XXXXX789]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50831": {
+      "content": "[XXXXX481]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50832": {
+      "content": "[XXXXX1044]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50833": {
+      "content": "[XXXXX274]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50834": {
+      "content": "[XXXXX957]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50835": {
+      "content": "[XXXXX1121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50836": {
+      "content": "[XXXXX464]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50837": {
+      "content": "[XXXXX495]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50838": {
+      "content": "[XXXXX1097]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50839": {
+      "content": "[XXXXX581]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50840": {
+      "content": "[XXXXX200]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50841": {
+      "content": "[XXXXX954]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50842": {
+      "content": "[XXXXX48]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50843": {
+      "content": "[XXXXX855]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50844": {
+      "content": "[XXXXX419]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50845": {
+      "content": "[XXXXX919]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50846": {
+      "content": "[XXXXX451]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50847": {
+      "content": "[XXXXX869]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50848": {
+      "content": "[XXXXX1082]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50849": {
+      "content": "[XXXXX1185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50850": {
+      "content": "[XXXXX859]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50851": {
+      "content": "[XXXXX1139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50852": {
+      "content": "[XXXXX1072]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50853": {
+      "content": "[XXXXX220]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50854": {
+      "content": "[XXXXX465]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50855": {
+      "content": "[XXXXX1105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50856": {
+      "content": "[XXXXX1093]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50857": {
+      "content": "[XXXXX953]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50858": {
+      "content": "[XXXXX1187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50859": {
+      "content": "[XXXXX311]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50860": {
+      "content": "[XXXXX403]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50861": {
+      "content": "[XXXXX684]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50862": {
+      "content": "[XXXXX426]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50863": {
+      "content": "[XXXXX68]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50864": {
+      "content": "[XXXXX277]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50865": {
+      "content": "[XXXXX437]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50866": {
+      "content": "[XXXXX896]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50867": {
+      "content": "[XXXXX899]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50868": {
+      "content": "[XXXXX878]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50869": {
+      "content": "[XXXXX1073]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50870": {
+      "content": "[XXXXX774]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50871": {
+      "content": "[XXXXX315]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50872": {
+      "content": "[XXXXX631]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50873": {
+      "content": "[XXXXX223]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50874": {
+      "content": "[XXXXX86]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50875": {
+      "content": "[XXXXX607]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50876": {
+      "content": "[XXXXX149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50877": {
+      "content": "[XXXXX566]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50878": {
+      "content": "[XXXXX740]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50879": {
+      "content": "[XXXXX265]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50880": {
+      "content": "[XXXXX399]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50881": {
+      "content": "[XXXXX1053]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50882": {
+      "content": "[XXXXX1077]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50883": {
+      "content": "[XXXXX336]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50884": {
+      "content": "[XXXXX734]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50885": {
+      "content": "[XXXXX289]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50886": {
+      "content": "[XXXXX221]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50887": {
+      "content": "[XXXXX580]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50888": {
+      "content": "[XXXXX406]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50889": {
+      "content": "[XXXXX854]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50890": {
+      "content": "[XXXXX673]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50891": {
+      "content": "[XXXXX1146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50892": {
+      "content": "[XXXXX29]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50893": {
+      "content": "[XXXXX496]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50894": {
+      "content": "[XXXXX241]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50895": {
+      "content": "[XXXXX929]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50896": {
+      "content": "[XXXXX169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50897": {
+      "content": "[XXXXX1153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50898": {
+      "content": "[XXXXX440]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50899": {
+      "content": "[XXXXX385]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50900": {
+      "content": "[XXXXX499]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50901": {
+      "content": "[XXXXX718]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50902": {
+      "content": "[XXXXX848]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50903": {
+      "content": "[XXXXX877]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50904": {
+      "content": "[XXXXX641]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50905": {
+      "content": "[XXXXX1137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50906": {
+      "content": "[XXXXX269]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50907": {
+      "content": "[XXXXX521]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50908": {
+      "content": "[XXXXX234]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50909": {
+      "content": "[XXXXX987]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50910": {
+      "content": "[XXXXX741]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50911": {
+      "content": "[XXXXX349]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50912": {
+      "content": "[XXXXX93]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50913": {
+      "content": "[XXXXX247]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50914": {
+      "content": "[XXXXX961]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50915": {
+      "content": "[XXXXX1120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50916": {
+      "content": "[XXXXX369]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50917": {
+      "content": "[XXXXX479]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50918": {
+      "content": "[XXXXX892]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50919": {
+      "content": "[XXXXX553]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50920": {
+      "content": "[XXXXX906]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50921": {
+      "content": "[XXXXX571]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50922": {
+      "content": "[XXXXX1046]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50923": {
+      "content": "[XXXXX206]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50924": {
+      "content": "[XXXXX488]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50925": {
+      "content": "[XXXXX445]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50926": {
+      "content": "[XXXXX524]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50927": {
+      "content": "[XXXXX228]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50928": {
+      "content": "[XXXXX998]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50929": {
+      "content": "[XXXXX675]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50930": {
+      "content": "[XXXXX732]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50931": {
+      "content": "[XXXXX1028]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50932": {
+      "content": "[XXXXX494]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50933": {
+      "content": "[XXXXX965]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50934": {
+      "content": "[XXXXX1021]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50935": {
+      "content": "[XXXXX726]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50936": {
+      "content": "[XXXXX168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50937": {
+      "content": "[XXXXX606]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50938": {
+      "content": "[XXXXX974]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50939": {
+      "content": "[XXXXX504]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50940": {
+      "content": "[XXXXX556]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50941": {
+      "content": "[XXXXX1159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50942": {
+      "content": "[XXXXX417]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50943": {
+      "content": "[XXXXX1175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50944": {
+      "content": "[XXXXX1142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50945": {
+      "content": "[XXXXX753]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50946": {
+      "content": "[XXXXX824]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50947": {
+      "content": "[XXXXX251]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50948": {
+      "content": "[XXXXX345]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50949": {
+      "content": "[XXXXX610]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50950": {
+      "content": "[XXXXX276]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50951": {
+      "content": "[XXXXX783]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50952": {
+      "content": "[XXXXX74]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50953": {
+      "content": "[XXXXX1050]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50954": {
+      "content": "[XXXXX71]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50955": {
+      "content": "[XXXXX360]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50956": {
+      "content": "[XXXXX512]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50957": {
+      "content": "[XXXXX341]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50958": {
+      "content": "[XXXXX375]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50959": {
+      "content": "[XXXXX637]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50960": {
+      "content": "[XXXXX1116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50961": {
+      "content": "[XXXXX9]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50962": {
+      "content": "[XXXXX738]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50963": {
+      "content": "[XXXXX856]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50964": {
+      "content": "[XXXXX979]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50965": {
+      "content": "[XXXXX825]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50966": {
+      "content": "[XXXXX852]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50967": {
+      "content": "[XXXXX215]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50968": {
+      "content": "[XXXXX91]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50969": {
+      "content": "[XXXXX257]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50970": {
+      "content": "[XXXXX325]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50971": {
+      "content": "[XXXXX368]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50972": {
+      "content": "[XXXXX1124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50973": {
+      "content": "[XXXXX188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50974": {
+      "content": "[XXXXX905]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50975": {
+      "content": "[XXXXX284]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50976": {
+      "content": "[XXXXX11]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50977": {
+      "content": "[XXXXX83]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50978": {
+      "content": "[XXXXX611]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50979": {
+      "content": "[XXXXX51]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50980": {
+      "content": "[XXXXX99]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50981": {
+      "content": "[XXXXX288]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50982": {
+      "content": "[XXXXX945]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50983": {
+      "content": "[XXXXX975]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50984": {
+      "content": "[XXXXX282]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50985": {
+      "content": "[XXXXX1068]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50986": {
+      "content": "[XXXXX1180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50987": {
+      "content": "[XXXXX574]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50988": {
+      "content": "[XXXXX305]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50989": {
+      "content": "[XXXXX565]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50990": {
+      "content": "[XXXXX865]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50991": {
+      "content": "[XXXXX1014]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50992": {
+      "content": "[XXXXX1138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50993": {
+      "content": "[XXXXX134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50994": {
+      "content": "[XXXXX321]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50995": {
+      "content": "[XXXXX752]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50996": {
+      "content": "[XXXXX108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50997": {
+      "content": "[XXXXX339]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50998": {
+      "content": "[XXXXX893]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50999": {
+      "content": "[XXXXX1177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51000": {
+      "content": "[XXXXX988]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51001": {
+      "content": "[XXXXX719]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51002": {
+      "content": "[XXXXX1059]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51003": {
+      "content": "[XXXXX421]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51004": {
+      "content": "[XXXXX670]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51005": {
+      "content": "[XXXXX949]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51006": {
+      "content": "[XXXXX14]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51007": {
+      "content": "[XXXXX1087]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51008": {
+      "content": "[XXXXX382]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51009": {
+      "content": "[XXXXX531]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51010": {
+      "content": "[XXXXX1079]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51011": {
+      "content": "[XXXXX1067]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51012": {
+      "content": "[XXXXX655]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51013": {
+      "content": "[XXXXX340]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51014": {
+      "content": "[XXXXX398]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51015": {
+      "content": "[XXXXX175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51016": {
+      "content": "[XXXXX232]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51017": {
+      "content": "[XXXXX244]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51018": {
+      "content": "[XXXXX568]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51019": {
+      "content": "[XXXXX1110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51020": {
+      "content": "[XXXXX191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51021": {
+      "content": "[XXXXX931]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51022": {
+      "content": "[XXXXX832]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51023": {
+      "content": "[XXXXX1030]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51024": {
+      "content": "[XXXXX144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51025": {
+      "content": "[XXXXX1102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51026": {
+      "content": "[XXXXX300]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51027": {
+      "content": "[XXXXX996]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51028": {
+      "content": "[XXXXX248]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51029": {
+      "content": "[XXXXX66]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51030": {
+      "content": "[XXXXX735]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51031": {
+      "content": "[XXXXX20]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51032": {
+      "content": "[XXXXX694]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51033": {
+      "content": "[XXXXX845]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51034": {
+      "content": "[XXXXX500]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51035": {
+      "content": "[XXXXX613]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51036": {
+      "content": "[XXXXX117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51037": {
+      "content": "[XXXXX886]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51038": {
+      "content": "[XXXXX261]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51039": {
+      "content": "[XXXXX567]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51040": {
+      "content": "[XXXXX541]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51041": {
+      "content": "[XXXXX529]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51042": {
+      "content": "[XXXXX699]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51043": {
+      "content": "[XXXXX715]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51044": {
+      "content": "[XXXXX1003]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51045": {
+      "content": "[XXXXX518]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51046": {
+      "content": "[XXXXX891]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51047": {
+      "content": "[XXXXX192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51048": {
+      "content": "[XXXXX53]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51049": {
+      "content": "[XXXXX428]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51050": {
+      "content": "[XXXXX183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51051": {
+      "content": "[XXXXX850]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51052": {
+      "content": "[XXXXX539]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51053": {
+      "content": "[XXXXX527]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51054": {
+      "content": "[XXXXX660]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51055": {
+      "content": "[XXXXX409]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51056": {
+      "content": "[XXXXX1122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51057": {
+      "content": "[XXXXX898]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51058": {
+      "content": "[XXXXX858]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51059": {
+      "content": "[XXXXX534]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51060": {
+      "content": "[XXXXX756]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51061": {
+      "content": "[XXXXX63]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51062": {
+      "content": "[XXXXX49]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51063": {
+      "content": "[XXXXX1106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51064": {
+      "content": "[XXXXX111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51065": {
+      "content": "[XXXXX955]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51066": {
+      "content": "[XXXXX309]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51067": {
+      "content": "[XXXXX538]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51068": {
+      "content": "[XXXXX823]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51069": {
+      "content": "[XXXXX867]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51070": {
+      "content": "[XXXXX587]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51071": {
+      "content": "[XXXXX243]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51072": {
+      "content": "[XXXXX677]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51073": {
+      "content": "[XXXXX1017]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51074": {
+      "content": "[XXXXX173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51075": {
+      "content": "[XXXXX682]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51076": {
+      "content": "[XXXXX1184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51077": {
+      "content": "[XXXXX1009]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51078": {
+      "content": "[XXXXX704]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51079": {
+      "content": "[XXXXX532]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51080": {
+      "content": "[XXXXX901]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51081": {
+      "content": "[XXXXX120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51082": {
+      "content": "[XXXXX388]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51083": {
+      "content": "[XXXXX405]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51084": {
+      "content": "[XXXXX788]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51085": {
+      "content": "[XXXXX728]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51086": {
+      "content": "[XXXXX425]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51087": {
+      "content": "[XXXXX883]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51088": {
+      "content": "[XXXXX837]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51089": {
+      "content": "[XXXXX350]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51090": {
+      "content": "[XXXXX716]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51091": {
+      "content": "[XXXXX579]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51092": {
+      "content": "[XXXXX909]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51093": {
+      "content": "[XXXXX884]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51094": {
+      "content": "[XXXXX1011]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51095": {
+      "content": "[XXXXX372]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51096": {
+      "content": "[XXXXX370]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51097": {
+      "content": "[XXXXX468]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51098": {
+      "content": "[XXXXX688]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51099": {
+      "content": "[XXXXX56]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51100": {
+      "content": "[XXXXX653]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51101": {
+      "content": "[XXXXX623]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51102": {
+      "content": "[XXXXX552]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51103": {
+      "content": "[XXXXX314]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51104": {
+      "content": "[XXXXX1018]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51105": {
+      "content": "[XXXXX1091]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51106": {
+      "content": "[XXXXX342]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51107": {
+      "content": "[XXXXX1065]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51108": {
+      "content": "[XXXXX1161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51109": {
+      "content": "[XXXXX959]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51110": {
+      "content": "[XXXXX1035]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51111": {
+      "content": "[XXXXX530]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51112": {
+      "content": "[XXXXX69]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51113": {
+      "content": "[XXXXX489]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51114": {
+      "content": "[XXXXX1]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51115": {
+      "content": "[XXXXX207]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51116": {
+      "content": "[XXXXX433]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51117": {
+      "content": "[XXXXX358]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51118": {
+      "content": "[XXXXX601]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51119": {
+      "content": "[XXXXX2]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51120": {
+      "content": "[XXXXX722]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51121": {
+      "content": "[XXXXX985]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51122": {
+      "content": "[XXXXX908]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51123": {
+      "content": "[XXXXX1024]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51124": {
+      "content": "[XXXXX1111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51125": {
+      "content": "[XXXXX1113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51126": {
+      "content": "[XXXXX678]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51127": {
+      "content": "[XXXXX19]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51128": {
+      "content": "[XXXXX1186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51129": {
+      "content": "[XXXXX808]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51130": {
+      "content": "[XXXXX493]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51131": {
+      "content": "[XXXXX1155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51132": {
+      "content": "[XXXXX217]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51133": {
+      "content": "[XXXXX616]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51134": {
+      "content": "[XXXXX835]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51135": {
+      "content": "[XXXXX994]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51136": {
+      "content": "[XXXXX484]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51137": {
+      "content": "[XXXXX362]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51138": {
+      "content": "[XXXXX582]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51139": {
+      "content": "[XXXXX1034]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51140": {
+      "content": "[XXXXX772]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51141": {
+      "content": "[XXXXX457]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51142": {
+      "content": "[XXXXX604]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51143": {
+      "content": "[XXXXX456]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51144": {
+      "content": "[XXXXX145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51145": {
+      "content": "[XXXXX476]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51146": {
+      "content": "[XXXXX218]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51147": {
+      "content": "[XXXXX199]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51148": {
+      "content": "[XXXXX364]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51149": {
+      "content": "[XXXXX302]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51150": {
+      "content": "[XXXXX881]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51151": {
+      "content": "[XXXXX1088]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51152": {
+      "content": "[XXXXX356]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51153": {
+      "content": "[XXXXX936]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51154": {
+      "content": "[XXXXX978]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51155": {
+      "content": "[XXXXX895]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51156": {
+      "content": "[XXXXX993]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51157": {
+      "content": "[XXXXX458]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51158": {
+      "content": "[XXXXX1002]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51159": {
+      "content": "[XXXXX1022]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51160": {
+      "content": "[XXXXX25]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51161": {
+      "content": "[XXXXX766]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51162": {
+      "content": "[XXXXX64]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51163": {
+      "content": "[XXXXX211]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51164": {
+      "content": "[XXXXX82]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51165": {
+      "content": "[XXXXX634]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51166": {
+      "content": "[XXXXX661]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51167": {
+      "content": "[XXXXX748]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51168": {
+      "content": "[XXXXX778]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51169": {
+      "content": "[XXXXX24]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51170": {
+      "content": "[XXXXX448]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51171": {
+      "content": "[XXXXX887]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51172": {
+      "content": "[XXXXX890]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51173": {
+      "content": "[XXXXX754]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51174": {
+      "content": "[XXXXX343]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51175": {
+      "content": "[XXXXX1069]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51176": {
+      "content": "[XXXXX294]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51177": {
+      "content": "[XXXXX295]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51178": {
+      "content": "[XXXXX197]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51179": {
+      "content": "[XXXXX210]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51180": {
+      "content": "[XXXXX630]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51181": {
+      "content": "[XXXXX707]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51182": {
+      "content": "[XXXXX864]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51183": {
+      "content": "[XXXXX391]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51184": {
+      "content": "[XXXXX338]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51185": {
+      "content": "[XXXXX800]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51186": {
+      "content": "[XXXXX841]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51187": {
+      "content": "[XXXXX967]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51188": {
+      "content": "[XXXXX793]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51189": {
+      "content": "[XXXXX916]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51190": {
+      "content": "[XXXXX603]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51191": {
+      "content": "[XXXXX270]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51192": {
+      "content": "[XXXXX105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51193": {
+      "content": "[XXXXX1016]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51194": {
+      "content": "[XXXXX804]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51195": {
+      "content": "[XXXXX264]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51196": {
+      "content": "[XXXXX155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51197": {
+      "content": "[XXXXX1190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51198": {
+      "content": "[XXXXX813]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51199": {
+      "content": "[XXXXX546]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "keep_accents": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}
diff --git a/checkpoint-5000/trainer_state.json b/checkpoint-5000/trainer_state.json
new file mode 100644
index 0000000..2be898c
--- /dev/null
+++ b/checkpoint-5000/trainer_state.json
@@ -0,0 +1,10144 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 4.142502071251036,
+  "eval_steps": 500,
+  "global_step": 5000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "entropy": 7.218191003799438,
+      "epoch": 0.004142502071251036,
+      "grad_norm": 1.265625,
+      "learning_rate": 2e-06,
+      "loss": 6.8898,
+      "mean_token_accuracy": 0.08805170804262161,
+      "num_tokens": 9149.0,
+      "step": 5
+    },
+    {
+      "entropy": 7.191673707962036,
+      "epoch": 0.008285004142502071,
+      "grad_norm": 1.5078125,
+      "learning_rate": 4.5e-06,
+      "loss": 6.7268,
+      "mean_token_accuracy": 0.09304728880524635,
+      "num_tokens": 16800.0,
+      "step": 10
+    },
+    {
+      "entropy": 7.134524202346801,
+      "epoch": 0.012427506213753107,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7e-06,
+      "loss": 6.8905,
+      "mean_token_accuracy": 0.0921505056321621,
+      "num_tokens": 26617.0,
+      "step": 15
+    },
+    {
+      "entropy": 7.115550088882446,
+      "epoch": 0.016570008285004142,
+      "grad_norm": 1.25,
+      "learning_rate": 9.5e-06,
+      "loss": 6.8021,
+      "mean_token_accuracy": 0.09268744736909866,
+      "num_tokens": 35855.0,
+      "step": 20
+    },
+    {
+      "entropy": 7.12396879196167,
+      "epoch": 0.020712510356255178,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.2e-05,
+      "loss": 7.0094,
+      "mean_token_accuracy": 0.08752714470028877,
+      "num_tokens": 45644.0,
+      "step": 25
+    },
+    {
+      "entropy": 7.054446792602539,
+      "epoch": 0.024855012427506214,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.4500000000000002e-05,
+      "loss": 6.8922,
+      "mean_token_accuracy": 0.09398627206683159,
+      "num_tokens": 54641.0,
+      "step": 30
+    },
+    {
+      "entropy": 7.012255907058716,
+      "epoch": 0.02899751449875725,
+      "grad_norm": 1.0234375,
+      "learning_rate": 1.7000000000000003e-05,
+      "loss": 6.7519,
+      "mean_token_accuracy": 0.08958807587623596,
+      "num_tokens": 63924.0,
+      "step": 35
+    },
+    {
+      "entropy": 7.068031549453735,
+      "epoch": 0.033140016570008285,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.95e-05,
+      "loss": 6.89,
+      "mean_token_accuracy": 0.09437783882021904,
+      "num_tokens": 73452.0,
+      "step": 40
+    },
+    {
+      "entropy": 7.06072301864624,
+      "epoch": 0.037282518641259324,
+      "grad_norm": 1.0234375,
+      "learning_rate": 2.2e-05,
+      "loss": 6.9455,
+      "mean_token_accuracy": 0.0851291574537754,
+      "num_tokens": 82731.0,
+      "step": 45
+    },
+    {
+      "entropy": 7.090083169937134,
+      "epoch": 0.041425020712510356,
+      "grad_norm": 1.1015625,
+      "learning_rate": 2.4500000000000003e-05,
+      "loss": 6.7734,
+      "mean_token_accuracy": 0.09048294499516488,
+      "num_tokens": 92626.0,
+      "step": 50
+    },
+    {
+      "entropy": 7.149203157424926,
+      "epoch": 0.045567522783761395,
+      "grad_norm": 1.21875,
+      "learning_rate": 2.7e-05,
+      "loss": 6.9497,
+      "mean_token_accuracy": 0.08217904865741729,
+      "num_tokens": 101380.0,
+      "step": 55
+    },
+    {
+      "entropy": 7.119951963424683,
+      "epoch": 0.04971002485501243,
+      "grad_norm": 1.046875,
+      "learning_rate": 2.95e-05,
+      "loss": 6.8604,
+      "mean_token_accuracy": 0.09202293381094932,
+      "num_tokens": 109895.0,
+      "step": 60
+    },
+    {
+      "entropy": 7.2014998435974125,
+      "epoch": 0.053852526926263466,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.2e-05,
+      "loss": 6.8449,
+      "mean_token_accuracy": 0.09257669150829315,
+      "num_tokens": 119203.0,
+      "step": 65
+    },
+    {
+      "entropy": 7.1111664295196535,
+      "epoch": 0.0579950289975145,
+      "grad_norm": 1.1484375,
+      "learning_rate": 3.4500000000000005e-05,
+      "loss": 6.7903,
+      "mean_token_accuracy": 0.09657297283411026,
+      "num_tokens": 127572.0,
+      "step": 70
+    },
+    {
+      "entropy": 7.04930944442749,
+      "epoch": 0.06213753106876554,
+      "grad_norm": 1.03125,
+      "learning_rate": 3.7e-05,
+      "loss": 6.8304,
+      "mean_token_accuracy": 0.09063600301742554,
+      "num_tokens": 137161.0,
+      "step": 75
+    },
+    {
+      "entropy": 7.044711875915527,
+      "epoch": 0.06628003314001657,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.95e-05,
+      "loss": 6.9451,
+      "mean_token_accuracy": 0.08874713778495788,
+      "num_tokens": 145991.0,
+      "step": 80
+    },
+    {
+      "entropy": 7.130092525482178,
+      "epoch": 0.07042253521126761,
+      "grad_norm": 1.0546875,
+      "learning_rate": 4.2000000000000004e-05,
+      "loss": 6.8464,
+      "mean_token_accuracy": 0.08955071866512299,
+      "num_tokens": 154927.0,
+      "step": 85
+    },
+    {
+      "entropy": 7.090402746200562,
+      "epoch": 0.07456503728251865,
+      "grad_norm": 1.34375,
+      "learning_rate": 4.45e-05,
+      "loss": 6.7595,
+      "mean_token_accuracy": 0.09832768961787224,
+      "num_tokens": 163234.0,
+      "step": 90
+    },
+    {
+      "entropy": 7.08957576751709,
+      "epoch": 0.07870753935376967,
+      "grad_norm": 1.015625,
+      "learning_rate": 4.7000000000000004e-05,
+      "loss": 6.7163,
+      "mean_token_accuracy": 0.09379880875349045,
+      "num_tokens": 171554.0,
+      "step": 95
+    },
+    {
+      "entropy": 7.044517278671265,
+      "epoch": 0.08285004142502071,
+      "grad_norm": 1.1328125,
+      "learning_rate": 4.9500000000000004e-05,
+      "loss": 6.8173,
+      "mean_token_accuracy": 0.0955286517739296,
+      "num_tokens": 180171.0,
+      "step": 100
+    },
+    {
+      "entropy": 7.050950908660889,
+      "epoch": 0.08699254349627175,
+      "grad_norm": 1.0859375,
+      "learning_rate": 5.2e-05,
+      "loss": 6.761,
+      "mean_token_accuracy": 0.09741089940071106,
+      "num_tokens": 189216.0,
+      "step": 105
+    },
+    {
+      "entropy": 7.173562717437744,
+      "epoch": 0.09113504556752279,
+      "grad_norm": 1.015625,
+      "learning_rate": 5.45e-05,
+      "loss": 6.9519,
+      "mean_token_accuracy": 0.08675800338387489,
+      "num_tokens": 200022.0,
+      "step": 110
+    },
+    {
+      "entropy": 7.183744478225708,
+      "epoch": 0.09527754763877382,
+      "grad_norm": 1.2265625,
+      "learning_rate": 5.7e-05,
+      "loss": 6.8642,
+      "mean_token_accuracy": 0.09210581332445145,
+      "num_tokens": 208686.0,
+      "step": 115
+    },
+    {
+      "entropy": 7.121539115905762,
+      "epoch": 0.09942004971002485,
+      "grad_norm": 1.1875,
+      "learning_rate": 5.9499999999999996e-05,
+      "loss": 6.8829,
+      "mean_token_accuracy": 0.09462191313505172,
+      "num_tokens": 218266.0,
+      "step": 120
+    },
+    {
+      "entropy": 7.006736946105957,
+      "epoch": 0.1035625517812759,
+      "grad_norm": 1.046875,
+      "learning_rate": 6.2e-05,
+      "loss": 6.7523,
+      "mean_token_accuracy": 0.08771666437387467,
+      "num_tokens": 227658.0,
+      "step": 125
+    },
+    {
+      "entropy": 7.040027761459351,
+      "epoch": 0.10770505385252693,
+      "grad_norm": 1.1015625,
+      "learning_rate": 6.450000000000001e-05,
+      "loss": 6.7014,
+      "mean_token_accuracy": 0.1004502885043621,
+      "num_tokens": 236301.0,
+      "step": 130
+    },
+    {
+      "entropy": 7.106470441818237,
+      "epoch": 0.11184755592377796,
+      "grad_norm": 1.1171875,
+      "learning_rate": 6.7e-05,
+      "loss": 6.8424,
+      "mean_token_accuracy": 0.08812138065695763,
+      "num_tokens": 246355.0,
+      "step": 135
+    },
+    {
+      "entropy": 7.174679756164551,
+      "epoch": 0.115990057995029,
+      "grad_norm": 1.15625,
+      "learning_rate": 6.950000000000001e-05,
+      "loss": 6.8174,
+      "mean_token_accuracy": 0.0924198254942894,
+      "num_tokens": 256023.0,
+      "step": 140
+    },
+    {
+      "entropy": 7.10174069404602,
+      "epoch": 0.12013256006628004,
+      "grad_norm": 0.9921875,
+      "learning_rate": 7.2e-05,
+      "loss": 6.9036,
+      "mean_token_accuracy": 0.08638993799686431,
+      "num_tokens": 266893.0,
+      "step": 145
+    },
+    {
+      "entropy": 7.019921684265137,
+      "epoch": 0.12427506213753108,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7.45e-05,
+      "loss": 6.6606,
+      "mean_token_accuracy": 0.08872481286525727,
+      "num_tokens": 276075.0,
+      "step": 150
+    },
+    {
+      "entropy": 7.042754888534546,
+      "epoch": 0.12841756420878211,
+      "grad_norm": 1.25,
+      "learning_rate": 7.7e-05,
+      "loss": 6.7532,
+      "mean_token_accuracy": 0.09296932220458984,
+      "num_tokens": 285529.0,
+      "step": 155
+    },
+    {
+      "entropy": 7.064399909973145,
+      "epoch": 0.13256006628003314,
+      "grad_norm": 1.15625,
+      "learning_rate": 7.950000000000001e-05,
+      "loss": 6.762,
+      "mean_token_accuracy": 0.09406789913773536,
+      "num_tokens": 294403.0,
+      "step": 160
+    },
+    {
+      "entropy": 7.152362823486328,
+      "epoch": 0.13670256835128416,
+      "grad_norm": 1.28125,
+      "learning_rate": 8.2e-05,
+      "loss": 6.8553,
+      "mean_token_accuracy": 0.09358441680669785,
+      "num_tokens": 303507.0,
+      "step": 165
+    },
+    {
+      "entropy": 7.071487474441528,
+      "epoch": 0.14084507042253522,
+      "grad_norm": 1.21875,
+      "learning_rate": 8.450000000000001e-05,
+      "loss": 6.7534,
+      "mean_token_accuracy": 0.09645206108689308,
+      "num_tokens": 312393.0,
+      "step": 170
+    },
+    {
+      "entropy": 6.956210470199585,
+      "epoch": 0.14498757249378624,
+      "grad_norm": 1.0859375,
+      "learning_rate": 8.7e-05,
+      "loss": 6.7226,
+      "mean_token_accuracy": 0.09953253641724587,
+      "num_tokens": 321309.0,
+      "step": 175
+    },
+    {
+      "entropy": 7.2200812816619875,
+      "epoch": 0.1491300745650373,
+      "grad_norm": 1.1328125,
+      "learning_rate": 8.95e-05,
+      "loss": 6.7879,
+      "mean_token_accuracy": 0.09582221284508705,
+      "num_tokens": 330217.0,
+      "step": 180
+    },
+    {
+      "entropy": 6.964824962615967,
+      "epoch": 0.15327257663628832,
+      "grad_norm": 1.2109375,
+      "learning_rate": 9.2e-05,
+      "loss": 6.8296,
+      "mean_token_accuracy": 0.09584516286849976,
+      "num_tokens": 339587.0,
+      "step": 185
+    },
+    {
+      "entropy": 7.104565525054932,
+      "epoch": 0.15741507870753935,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.45e-05,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.09563353508710862,
+      "num_tokens": 349367.0,
+      "step": 190
+    },
+    {
+      "entropy": 6.90956711769104,
+      "epoch": 0.1615575807787904,
+      "grad_norm": 1.1953125,
+      "learning_rate": 9.7e-05,
+      "loss": 6.6535,
+      "mean_token_accuracy": 0.09533214569091797,
+      "num_tokens": 358272.0,
+      "step": 195
+    },
+    {
+      "entropy": 7.184430170059204,
+      "epoch": 0.16570008285004142,
+      "grad_norm": 1.1875,
+      "learning_rate": 9.95e-05,
+      "loss": 6.8847,
+      "mean_token_accuracy": 0.09342379868030548,
+      "num_tokens": 367709.0,
+      "step": 200
+    },
+    {
+      "entropy": 7.108258152008057,
+      "epoch": 0.16984258492129245,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000102,
+      "loss": 6.7363,
+      "mean_token_accuracy": 0.09321728497743606,
+      "num_tokens": 376180.0,
+      "step": 205
+    },
+    {
+      "entropy": 7.143853282928466,
+      "epoch": 0.1739850869925435,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00010449999999999999,
+      "loss": 6.8927,
+      "mean_token_accuracy": 0.08639989122748375,
+      "num_tokens": 385636.0,
+      "step": 210
+    },
+    {
+      "entropy": 7.005528688430786,
+      "epoch": 0.17812758906379453,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000107,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.10387283116579056,
+      "num_tokens": 394486.0,
+      "step": 215
+    },
+    {
+      "entropy": 7.066776275634766,
+      "epoch": 0.18227009113504558,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0001095,
+      "loss": 6.7286,
+      "mean_token_accuracy": 0.09739693626761436,
+      "num_tokens": 403765.0,
+      "step": 220
+    },
+    {
+      "entropy": 6.9391695022583,
+      "epoch": 0.1864125932062966,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000112,
+      "loss": 6.7198,
+      "mean_token_accuracy": 0.09883175939321517,
+      "num_tokens": 412988.0,
+      "step": 225
+    },
+    {
+      "entropy": 7.029045248031617,
+      "epoch": 0.19055509527754763,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0001145,
+      "loss": 6.6219,
+      "mean_token_accuracy": 0.09850638806819915,
+      "num_tokens": 422096.0,
+      "step": 230
+    },
+    {
+      "entropy": 7.055552911758423,
+      "epoch": 0.19469759734879868,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011700000000000001,
+      "loss": 6.7907,
+      "mean_token_accuracy": 0.08912368193268776,
+      "num_tokens": 431333.0,
+      "step": 235
+    },
+    {
+      "entropy": 7.076433277130127,
+      "epoch": 0.1988400994200497,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00011949999999999999,
+      "loss": 6.825,
+      "mean_token_accuracy": 0.0998022735118866,
+      "num_tokens": 440382.0,
+      "step": 240
+    },
+    {
+      "entropy": 7.098494958877564,
+      "epoch": 0.20298260149130073,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000122,
+      "loss": 6.7184,
+      "mean_token_accuracy": 0.1035430908203125,
+      "num_tokens": 448469.0,
+      "step": 245
+    },
+    {
+      "entropy": 7.065437746047974,
+      "epoch": 0.2071251035625518,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001245,
+      "loss": 6.7562,
+      "mean_token_accuracy": 0.0973759837448597,
+      "num_tokens": 457356.0,
+      "step": 250
+    },
+    {
+      "entropy": 7.103154182434082,
+      "epoch": 0.2112676056338028,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000127,
+      "loss": 6.7821,
+      "mean_token_accuracy": 0.09721289053559304,
+      "num_tokens": 465928.0,
+      "step": 255
+    },
+    {
+      "entropy": 6.99681601524353,
+      "epoch": 0.21541010770505387,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0001295,
+      "loss": 6.6931,
+      "mean_token_accuracy": 0.09931288808584213,
+      "num_tokens": 475269.0,
+      "step": 260
+    },
+    {
+      "entropy": 6.960800266265869,
+      "epoch": 0.2195526097763049,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000132,
+      "loss": 6.679,
+      "mean_token_accuracy": 0.09512786641716957,
+      "num_tokens": 485450.0,
+      "step": 265
+    },
+    {
+      "entropy": 7.0514568328857425,
+      "epoch": 0.22369511184755592,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00013450000000000002,
+      "loss": 6.7347,
+      "mean_token_accuracy": 0.10228226557374001,
+      "num_tokens": 494029.0,
+      "step": 270
+    },
+    {
+      "entropy": 6.9516912460327145,
+      "epoch": 0.22783761391880697,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013700000000000002,
+      "loss": 6.676,
+      "mean_token_accuracy": 0.10202871784567832,
+      "num_tokens": 503253.0,
+      "step": 275
+    },
+    {
+      "entropy": 7.018160057067871,
+      "epoch": 0.231980115990058,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0001395,
+      "loss": 6.6685,
+      "mean_token_accuracy": 0.09529435187578202,
+      "num_tokens": 512857.0,
+      "step": 280
+    },
+    {
+      "entropy": 6.9714985370635985,
+      "epoch": 0.23612261806130902,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00014199999999999998,
+      "loss": 6.7719,
+      "mean_token_accuracy": 0.09288227260112762,
+      "num_tokens": 522319.0,
+      "step": 285
+    },
+    {
+      "entropy": 7.113205528259277,
+      "epoch": 0.24026512013256007,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0001445,
+      "loss": 6.7224,
+      "mean_token_accuracy": 0.09471780881285667,
+      "num_tokens": 531469.0,
+      "step": 290
+    },
+    {
+      "entropy": 6.976934480667114,
+      "epoch": 0.2444076222038111,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000147,
+      "loss": 6.756,
+      "mean_token_accuracy": 0.09480062946677208,
+      "num_tokens": 540470.0,
+      "step": 295
+    },
+    {
+      "entropy": 7.011937475204467,
+      "epoch": 0.24855012427506215,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0001495,
+      "loss": 6.7584,
+      "mean_token_accuracy": 0.09700122326612473,
+      "num_tokens": 550317.0,
+      "step": 300
+    },
+    {
+      "entropy": 7.0365160465240475,
+      "epoch": 0.2526926263463132,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000152,
+      "loss": 6.7067,
+      "mean_token_accuracy": 0.09434132501482964,
+      "num_tokens": 559409.0,
+      "step": 305
+    },
+    {
+      "entropy": 6.928857326507568,
+      "epoch": 0.25683512841756423,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00015450000000000001,
+      "loss": 6.768,
+      "mean_token_accuracy": 0.10764710158109665,
+      "num_tokens": 568726.0,
+      "step": 310
+    },
+    {
+      "entropy": 7.103991413116455,
+      "epoch": 0.2609776304888152,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000157,
+      "loss": 6.7179,
+      "mean_token_accuracy": 0.0976541943848133,
+      "num_tokens": 577926.0,
+      "step": 315
+    },
+    {
+      "entropy": 7.047203779220581,
+      "epoch": 0.2651201325600663,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001595,
+      "loss": 6.7448,
+      "mean_token_accuracy": 0.09809661954641342,
+      "num_tokens": 586695.0,
+      "step": 320
+    },
+    {
+      "entropy": 7.039609956741333,
+      "epoch": 0.26926263463131733,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000162,
+      "loss": 6.771,
+      "mean_token_accuracy": 0.0949723981320858,
+      "num_tokens": 596250.0,
+      "step": 325
+    },
+    {
+      "entropy": 7.063632202148438,
+      "epoch": 0.27340513670256833,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00016450000000000001,
+      "loss": 6.8221,
+      "mean_token_accuracy": 0.09051206335425377,
+      "num_tokens": 605761.0,
+      "step": 330
+    },
+    {
+      "entropy": 7.019326877593994,
+      "epoch": 0.2775476387738194,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00016700000000000002,
+      "loss": 6.7365,
+      "mean_token_accuracy": 0.09872144013643265,
+      "num_tokens": 614313.0,
+      "step": 335
+    },
+    {
+      "entropy": 7.037422132492066,
+      "epoch": 0.28169014084507044,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00016950000000000003,
+      "loss": 6.7692,
+      "mean_token_accuracy": 0.09455474764108658,
+      "num_tokens": 624470.0,
+      "step": 340
+    },
+    {
+      "entropy": 7.039082098007202,
+      "epoch": 0.28583264291632143,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00017199999999999998,
+      "loss": 6.6843,
+      "mean_token_accuracy": 0.09269843101501465,
+      "num_tokens": 633458.0,
+      "step": 345
+    },
+    {
+      "entropy": 6.942268037796021,
+      "epoch": 0.2899751449875725,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00017449999999999999,
+      "loss": 6.6939,
+      "mean_token_accuracy": 0.09877684414386749,
+      "num_tokens": 643251.0,
+      "step": 350
+    },
+    {
+      "entropy": 6.99584732055664,
+      "epoch": 0.29411764705882354,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000177,
+      "loss": 6.7635,
+      "mean_token_accuracy": 0.09713540598750114,
+      "num_tokens": 652005.0,
+      "step": 355
+    },
+    {
+      "entropy": 7.006586170196533,
+      "epoch": 0.2982601491300746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0001795,
+      "loss": 6.6575,
+      "mean_token_accuracy": 0.10120807588100433,
+      "num_tokens": 661003.0,
+      "step": 360
+    },
+    {
+      "entropy": 6.874996137619019,
+      "epoch": 0.3024026512013256,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000182,
+      "loss": 6.6294,
+      "mean_token_accuracy": 0.09844254851341247,
+      "num_tokens": 670221.0,
+      "step": 365
+    },
+    {
+      "entropy": 7.155635738372803,
+      "epoch": 0.30654515327257664,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001845,
+      "loss": 6.9236,
+      "mean_token_accuracy": 0.0882349319756031,
+      "num_tokens": 680756.0,
+      "step": 370
+    },
+    {
+      "entropy": 6.94540753364563,
+      "epoch": 0.3106876553438277,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000187,
+      "loss": 6.6157,
+      "mean_token_accuracy": 0.10289054960012436,
+      "num_tokens": 689641.0,
+      "step": 375
+    },
+    {
+      "entropy": 6.87992377281189,
+      "epoch": 0.3148301574150787,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001895,
+      "loss": 6.5696,
+      "mean_token_accuracy": 0.09839320331811904,
+      "num_tokens": 698209.0,
+      "step": 380
+    },
+    {
+      "entropy": 6.823869276046753,
+      "epoch": 0.31897265948632975,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000192,
+      "loss": 6.5736,
+      "mean_token_accuracy": 0.10355777889490128,
+      "num_tokens": 706712.0,
+      "step": 385
+    },
+    {
+      "entropy": 7.037634468078613,
+      "epoch": 0.3231151615575808,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0001945,
+      "loss": 6.8017,
+      "mean_token_accuracy": 0.09728012606501579,
+      "num_tokens": 716087.0,
+      "step": 390
+    },
+    {
+      "entropy": 6.911249494552612,
+      "epoch": 0.3272576636288318,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00019700000000000002,
+      "loss": 6.6465,
+      "mean_token_accuracy": 0.09347675815224647,
+      "num_tokens": 725913.0,
+      "step": 395
+    },
+    {
+      "entropy": 6.944440317153931,
+      "epoch": 0.33140016570008285,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019950000000000002,
+      "loss": 6.7201,
+      "mean_token_accuracy": 0.10362306237220764,
+      "num_tokens": 735020.0,
+      "step": 400
+    },
+    {
+      "entropy": 6.985636854171753,
+      "epoch": 0.3355426677713339,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000202,
+      "loss": 6.6216,
+      "mean_token_accuracy": 0.09469136893749237,
+      "num_tokens": 744299.0,
+      "step": 405
+    },
+    {
+      "entropy": 6.883630275726318,
+      "epoch": 0.3396851698425849,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00020449999999999998,
+      "loss": 6.6099,
+      "mean_token_accuracy": 0.09694516137242318,
+      "num_tokens": 753231.0,
+      "step": 410
+    },
+    {
+      "entropy": 6.825357389450073,
+      "epoch": 0.34382767191383595,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000207,
+      "loss": 6.6717,
+      "mean_token_accuracy": 0.10230854973196983,
+      "num_tokens": 763043.0,
+      "step": 415
+    },
+    {
+      "entropy": 7.016851997375488,
+      "epoch": 0.347970173985087,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0002095,
+      "loss": 6.6905,
+      "mean_token_accuracy": 0.09913048222661018,
+      "num_tokens": 771977.0,
+      "step": 420
+    },
+    {
+      "entropy": 6.820244407653808,
+      "epoch": 0.352112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000212,
+      "loss": 6.6243,
+      "mean_token_accuracy": 0.1011092983186245,
+      "num_tokens": 780285.0,
+      "step": 425
+    },
+    {
+      "entropy": 6.956075525283813,
+      "epoch": 0.35625517812758906,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002145,
+      "loss": 6.6593,
+      "mean_token_accuracy": 0.09649045094847679,
+      "num_tokens": 789980.0,
+      "step": 430
+    },
+    {
+      "entropy": 6.984846019744873,
+      "epoch": 0.3603976801988401,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021700000000000002,
+      "loss": 6.6275,
+      "mean_token_accuracy": 0.10474459528923034,
+      "num_tokens": 798700.0,
+      "step": 435
+    },
+    {
+      "entropy": 6.767291498184204,
+      "epoch": 0.36454018227009116,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002195,
+      "loss": 6.7208,
+      "mean_token_accuracy": 0.09600067660212516,
+      "num_tokens": 808758.0,
+      "step": 440
+    },
+    {
+      "entropy": 7.046369791030884,
+      "epoch": 0.36868268434134216,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000222,
+      "loss": 6.6666,
+      "mean_token_accuracy": 0.10458802133798599,
+      "num_tokens": 817692.0,
+      "step": 445
+    },
+    {
+      "entropy": 6.95425066947937,
+      "epoch": 0.3728251864125932,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002245,
+      "loss": 6.7146,
+      "mean_token_accuracy": 0.10474570766091347,
+      "num_tokens": 827052.0,
+      "step": 450
+    },
+    {
+      "entropy": 6.895345544815063,
+      "epoch": 0.37696768848384427,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00022700000000000002,
+      "loss": 6.7139,
+      "mean_token_accuracy": 0.1091882586479187,
+      "num_tokens": 836442.0,
+      "step": 455
+    },
+    {
+      "entropy": 6.922871923446655,
+      "epoch": 0.38111019055509526,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00022950000000000002,
+      "loss": 6.5775,
+      "mean_token_accuracy": 0.10118989571928978,
+      "num_tokens": 846441.0,
+      "step": 460
+    },
+    {
+      "entropy": 6.8815388679504395,
+      "epoch": 0.3852526926263463,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00023200000000000003,
+      "loss": 6.6215,
+      "mean_token_accuracy": 0.10475475937128068,
+      "num_tokens": 856108.0,
+      "step": 465
+    },
+    {
+      "entropy": 6.848587274551392,
+      "epoch": 0.38939519469759737,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00023449999999999998,
+      "loss": 6.5833,
+      "mean_token_accuracy": 0.10137399956583977,
+      "num_tokens": 865788.0,
+      "step": 470
+    },
+    {
+      "entropy": 6.886804008483887,
+      "epoch": 0.39353769676884837,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000237,
+      "loss": 6.6302,
+      "mean_token_accuracy": 0.09514767676591873,
+      "num_tokens": 874833.0,
+      "step": 475
+    },
+    {
+      "entropy": 6.751422643661499,
+      "epoch": 0.3976801988400994,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002395,
+      "loss": 6.5997,
+      "mean_token_accuracy": 0.10276172533631325,
+      "num_tokens": 883685.0,
+      "step": 480
+    },
+    {
+      "entropy": 6.881311464309692,
+      "epoch": 0.40182270091135047,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000242,
+      "loss": 6.6001,
+      "mean_token_accuracy": 0.09796027019619942,
+      "num_tokens": 893908.0,
+      "step": 485
+    },
+    {
+      "entropy": 6.934821891784668,
+      "epoch": 0.40596520298260147,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002445,
+      "loss": 6.7142,
+      "mean_token_accuracy": 0.09827135354280472,
+      "num_tokens": 903081.0,
+      "step": 490
+    },
+    {
+      "entropy": 6.7868632793426515,
+      "epoch": 0.4101077050538525,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000247,
+      "loss": 6.5522,
+      "mean_token_accuracy": 0.10336750745773315,
+      "num_tokens": 912515.0,
+      "step": 495
+    },
+    {
+      "entropy": 6.886235475540161,
+      "epoch": 0.4142502071251036,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002495,
+      "loss": 6.5797,
+      "mean_token_accuracy": 0.1070313923060894,
+      "num_tokens": 921056.0,
+      "step": 500
+    },
+    {
+      "epoch": 0.4142502071251036,
+      "eval_entropy": 6.836038604728194,
+      "eval_loss": 6.684774875640869,
+      "eval_mean_token_accuracy": 0.10272799217021034,
+      "eval_num_tokens": 921056.0,
+      "eval_runtime": 2.7891,
+      "eval_samples_per_second": 1343.421,
+      "eval_steps_per_second": 168.152,
+      "step": 500
+    },
+    {
+      "entropy": 6.7657403469085695,
+      "epoch": 0.4183927091963546,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000252,
+      "loss": 6.5317,
+      "mean_token_accuracy": 0.10417452603578567,
+      "num_tokens": 931112.0,
+      "step": 505
+    },
+    {
+      "entropy": 6.821895503997803,
+      "epoch": 0.4225352112676056,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0002545,
+      "loss": 6.6605,
+      "mean_token_accuracy": 0.0978618748486042,
+      "num_tokens": 941120.0,
+      "step": 510
+    },
+    {
+      "entropy": 6.886211729049682,
+      "epoch": 0.4266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000257,
+      "loss": 6.6044,
+      "mean_token_accuracy": 0.09737976416945457,
+      "num_tokens": 950041.0,
+      "step": 515
+    },
+    {
+      "entropy": 6.879851579666138,
+      "epoch": 0.43082021541010773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002595,
+      "loss": 6.5907,
+      "mean_token_accuracy": 0.10606569275259972,
+      "num_tokens": 958608.0,
+      "step": 520
+    },
+    {
+      "entropy": 6.886484861373901,
+      "epoch": 0.43496271748135873,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.000262,
+      "loss": 6.7158,
+      "mean_token_accuracy": 0.09990910813212395,
+      "num_tokens": 966901.0,
+      "step": 525
+    },
+    {
+      "entropy": 6.767313003540039,
+      "epoch": 0.4391052195526098,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026450000000000003,
+      "loss": 6.5504,
+      "mean_token_accuracy": 0.10768762230873108,
+      "num_tokens": 976198.0,
+      "step": 530
+    },
+    {
+      "entropy": 6.892781782150268,
+      "epoch": 0.44324772162386084,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026700000000000004,
+      "loss": 6.624,
+      "mean_token_accuracy": 0.09861580505967141,
+      "num_tokens": 985248.0,
+      "step": 535
+    },
+    {
+      "entropy": 6.772344255447388,
+      "epoch": 0.44739022369511183,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00026950000000000005,
+      "loss": 6.5014,
+      "mean_token_accuracy": 0.1071978710591793,
+      "num_tokens": 993289.0,
+      "step": 540
+    },
+    {
+      "entropy": 6.820696449279785,
+      "epoch": 0.4515327257663629,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027200000000000005,
+      "loss": 6.5909,
+      "mean_token_accuracy": 0.10533165782690049,
+      "num_tokens": 1001784.0,
+      "step": 545
+    },
+    {
+      "entropy": 6.935409688949585,
+      "epoch": 0.45567522783761394,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002745,
+      "loss": 6.5627,
+      "mean_token_accuracy": 0.10804210156202317,
+      "num_tokens": 1010445.0,
+      "step": 550
+    },
+    {
+      "entropy": 6.745790100097656,
+      "epoch": 0.45981772990886494,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000277,
+      "loss": 6.6184,
+      "mean_token_accuracy": 0.10709234476089477,
+      "num_tokens": 1019084.0,
+      "step": 555
+    },
+    {
+      "entropy": 6.7490733623504635,
+      "epoch": 0.463960231980116,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002795,
+      "loss": 6.5249,
+      "mean_token_accuracy": 0.10461713373661041,
+      "num_tokens": 1027263.0,
+      "step": 560
+    },
+    {
+      "entropy": 6.876884937286377,
+      "epoch": 0.46810273405136704,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00028199999999999997,
+      "loss": 6.6233,
+      "mean_token_accuracy": 0.09752989709377288,
+      "num_tokens": 1036275.0,
+      "step": 565
+    },
+    {
+      "entropy": 6.765736055374146,
+      "epoch": 0.47224523612261804,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002845,
+      "loss": 6.7015,
+      "mean_token_accuracy": 0.09858408868312836,
+      "num_tokens": 1045208.0,
+      "step": 570
+    },
+    {
+      "entropy": 6.9024957656860355,
+      "epoch": 0.4763877381938691,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000287,
+      "loss": 6.6287,
+      "mean_token_accuracy": 0.1026283286511898,
+      "num_tokens": 1054703.0,
+      "step": 575
+    },
+    {
+      "entropy": 6.647345924377442,
+      "epoch": 0.48053024026512015,
+      "grad_norm": 1.5,
+      "learning_rate": 0.0002895,
+      "loss": 6.4841,
+      "mean_token_accuracy": 0.10212503597140313,
+      "num_tokens": 1063652.0,
+      "step": 580
+    },
+    {
+      "entropy": 6.717900657653809,
+      "epoch": 0.48467274233637114,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000292,
+      "loss": 6.5873,
+      "mean_token_accuracy": 0.10145951434969902,
+      "num_tokens": 1072070.0,
+      "step": 585
+    },
+    {
+      "entropy": 6.997959756851197,
+      "epoch": 0.4888152444076222,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002945,
+      "loss": 6.6143,
+      "mean_token_accuracy": 0.10064447894692422,
+      "num_tokens": 1079992.0,
+      "step": 590
+    },
+    {
+      "entropy": 6.657160854339599,
+      "epoch": 0.49295774647887325,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000297,
+      "loss": 6.628,
+      "mean_token_accuracy": 0.10435748845338821,
+      "num_tokens": 1088862.0,
+      "step": 595
+    },
+    {
+      "entropy": 6.773271942138672,
+      "epoch": 0.4971002485501243,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002995,
+      "loss": 6.4317,
+      "mean_token_accuracy": 0.10795770138502121,
+      "num_tokens": 1097614.0,
+      "step": 600
+    },
+    {
+      "entropy": 6.7102379322052,
+      "epoch": 0.5012427506213754,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000302,
+      "loss": 6.6288,
+      "mean_token_accuracy": 0.10706980749964715,
+      "num_tokens": 1107347.0,
+      "step": 605
+    },
+    {
+      "entropy": 6.8672473430633545,
+      "epoch": 0.5053852526926264,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003045,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10073774978518486,
+      "num_tokens": 1116707.0,
+      "step": 610
+    },
+    {
+      "entropy": 6.764383840560913,
+      "epoch": 0.5095277547638773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000307,
+      "loss": 6.6549,
+      "mean_token_accuracy": 0.10234303548932075,
+      "num_tokens": 1126356.0,
+      "step": 615
+    },
+    {
+      "entropy": 6.787193298339844,
+      "epoch": 0.5136702568351285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003095,
+      "loss": 6.5847,
+      "mean_token_accuracy": 0.10079671740531922,
+      "num_tokens": 1136281.0,
+      "step": 620
+    },
+    {
+      "entropy": 6.713733196258545,
+      "epoch": 0.5178127589063795,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000312,
+      "loss": 6.5355,
+      "mean_token_accuracy": 0.10429632142186165,
+      "num_tokens": 1145466.0,
+      "step": 625
+    },
+    {
+      "entropy": 6.7503923892974855,
+      "epoch": 0.5219552609776305,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003145,
+      "loss": 6.5409,
+      "mean_token_accuracy": 0.10918259546160698,
+      "num_tokens": 1154225.0,
+      "step": 630
+    },
+    {
+      "entropy": 6.761834907531738,
+      "epoch": 0.5260977630488816,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000317,
+      "loss": 6.5885,
+      "mean_token_accuracy": 0.09673135951161385,
+      "num_tokens": 1163872.0,
+      "step": 635
+    },
+    {
+      "entropy": 6.69431324005127,
+      "epoch": 0.5302402651201326,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003195,
+      "loss": 6.5244,
+      "mean_token_accuracy": 0.10705070868134499,
+      "num_tokens": 1172695.0,
+      "step": 640
+    },
+    {
+      "entropy": 6.651590061187744,
+      "epoch": 0.5343827671913836,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000322,
+      "loss": 6.3962,
+      "mean_token_accuracy": 0.11006554961204529,
+      "num_tokens": 1181291.0,
+      "step": 645
+    },
+    {
+      "entropy": 6.782713270187378,
+      "epoch": 0.5385252692626347,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00032450000000000003,
+      "loss": 6.5715,
+      "mean_token_accuracy": 0.10394523739814758,
+      "num_tokens": 1189927.0,
+      "step": 650
+    },
+    {
+      "entropy": 6.705166435241699,
+      "epoch": 0.5426677713338857,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00032700000000000003,
+      "loss": 6.5043,
+      "mean_token_accuracy": 0.10940467119216919,
+      "num_tokens": 1197913.0,
+      "step": 655
+    },
+    {
+      "entropy": 6.670699262619019,
+      "epoch": 0.5468102734051367,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032950000000000004,
+      "loss": 6.4309,
+      "mean_token_accuracy": 0.11147961542010307,
+      "num_tokens": 1207032.0,
+      "step": 660
+    },
+    {
+      "entropy": 6.640204334259034,
+      "epoch": 0.5509527754763878,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00033200000000000005,
+      "loss": 6.5397,
+      "mean_token_accuracy": 0.10571447387337685,
+      "num_tokens": 1215710.0,
+      "step": 665
+    },
+    {
+      "entropy": 6.694819068908691,
+      "epoch": 0.5550952775476388,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033450000000000005,
+      "loss": 6.52,
+      "mean_token_accuracy": 0.10049431845545768,
+      "num_tokens": 1225619.0,
+      "step": 670
+    },
+    {
+      "entropy": 6.649594163894653,
+      "epoch": 0.5592377796188898,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000337,
+      "loss": 6.4407,
+      "mean_token_accuracy": 0.11157044768333435,
+      "num_tokens": 1235000.0,
+      "step": 675
+    },
+    {
+      "entropy": 6.612611961364746,
+      "epoch": 0.5633802816901409,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003395,
+      "loss": 6.4462,
+      "mean_token_accuracy": 0.108580531924963,
+      "num_tokens": 1243594.0,
+      "step": 680
+    },
+    {
+      "entropy": 6.843221950531006,
+      "epoch": 0.5675227837613919,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000342,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10460855960845947,
+      "num_tokens": 1252279.0,
+      "step": 685
+    },
+    {
+      "entropy": 6.760235929489136,
+      "epoch": 0.5716652858326429,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034449999999999997,
+      "loss": 6.559,
+      "mean_token_accuracy": 0.10665302500128745,
+      "num_tokens": 1261314.0,
+      "step": 690
+    },
+    {
+      "entropy": 6.55326566696167,
+      "epoch": 0.575807787903894,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000347,
+      "loss": 6.4337,
+      "mean_token_accuracy": 0.11188110187649727,
+      "num_tokens": 1270854.0,
+      "step": 695
+    },
+    {
+      "entropy": 6.618375587463379,
+      "epoch": 0.579950289975145,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003495,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.11392810270190239,
+      "num_tokens": 1279183.0,
+      "step": 700
+    },
+    {
+      "entropy": 6.626208257675171,
+      "epoch": 0.584092792046396,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000352,
+      "loss": 6.5015,
+      "mean_token_accuracy": 0.10761247500777245,
+      "num_tokens": 1288347.0,
+      "step": 705
+    },
+    {
+      "entropy": 6.6855669021606445,
+      "epoch": 0.5882352941176471,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003545,
+      "loss": 6.5036,
+      "mean_token_accuracy": 0.10823310390114785,
+      "num_tokens": 1297449.0,
+      "step": 710
+    },
+    {
+      "entropy": 6.710147094726563,
+      "epoch": 0.5923777961888981,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000357,
+      "loss": 6.4688,
+      "mean_token_accuracy": 0.10904998034238815,
+      "num_tokens": 1306232.0,
+      "step": 715
+    },
+    {
+      "entropy": 6.6553794860839846,
+      "epoch": 0.5965202982601492,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003595,
+      "loss": 6.4857,
+      "mean_token_accuracy": 0.11109372302889824,
+      "num_tokens": 1315073.0,
+      "step": 720
+    },
+    {
+      "entropy": 6.674065732955933,
+      "epoch": 0.6006628003314002,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000362,
+      "loss": 6.5301,
+      "mean_token_accuracy": 0.10648825243115426,
+      "num_tokens": 1324629.0,
+      "step": 725
+    },
+    {
+      "entropy": 6.700368881225586,
+      "epoch": 0.6048053024026512,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0003645,
+      "loss": 6.6444,
+      "mean_token_accuracy": 0.10443340390920638,
+      "num_tokens": 1334152.0,
+      "step": 730
+    },
+    {
+      "entropy": 6.779498624801636,
+      "epoch": 0.6089478044739023,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000367,
+      "loss": 6.5946,
+      "mean_token_accuracy": 0.10130336955189705,
+      "num_tokens": 1343063.0,
+      "step": 735
+    },
+    {
+      "entropy": 6.684298419952393,
+      "epoch": 0.6130903065451533,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0003695,
+      "loss": 6.5241,
+      "mean_token_accuracy": 0.10516620799899101,
+      "num_tokens": 1352632.0,
+      "step": 740
+    },
+    {
+      "entropy": 6.582866573333741,
+      "epoch": 0.6172328086164043,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000372,
+      "loss": 6.4712,
+      "mean_token_accuracy": 0.10765027329325676,
+      "num_tokens": 1361103.0,
+      "step": 745
+    },
+    {
+      "entropy": 6.643687963485718,
+      "epoch": 0.6213753106876554,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003745,
+      "loss": 6.4642,
+      "mean_token_accuracy": 0.10832677409052849,
+      "num_tokens": 1370658.0,
+      "step": 750
+    },
+    {
+      "entropy": 6.64506516456604,
+      "epoch": 0.6255178127589064,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000377,
+      "loss": 6.4878,
+      "mean_token_accuracy": 0.10808288529515267,
+      "num_tokens": 1379817.0,
+      "step": 755
+    },
+    {
+      "entropy": 6.640752458572388,
+      "epoch": 0.6296603148301574,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003795,
+      "loss": 6.4418,
+      "mean_token_accuracy": 0.10874675288796425,
+      "num_tokens": 1389329.0,
+      "step": 760
+    },
+    {
+      "entropy": 6.4627049446105955,
+      "epoch": 0.6338028169014085,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000382,
+      "loss": 6.4902,
+      "mean_token_accuracy": 0.10606684386730195,
+      "num_tokens": 1399279.0,
+      "step": 765
+    },
+    {
+      "entropy": 6.621781063079834,
+      "epoch": 0.6379453189726595,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003845,
+      "loss": 6.4146,
+      "mean_token_accuracy": 0.11267002299427986,
+      "num_tokens": 1408765.0,
+      "step": 770
+    },
+    {
+      "entropy": 6.736465692520142,
+      "epoch": 0.6420878210439105,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038700000000000003,
+      "loss": 6.5632,
+      "mean_token_accuracy": 0.10607504546642303,
+      "num_tokens": 1418615.0,
+      "step": 775
+    },
+    {
+      "entropy": 6.616378879547119,
+      "epoch": 0.6462303231151616,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038950000000000003,
+      "loss": 6.4664,
+      "mean_token_accuracy": 0.10207068845629692,
+      "num_tokens": 1427359.0,
+      "step": 780
+    },
+    {
+      "entropy": 6.70065336227417,
+      "epoch": 0.6503728251864126,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00039200000000000004,
+      "loss": 6.622,
+      "mean_token_accuracy": 0.1116428442299366,
+      "num_tokens": 1435516.0,
+      "step": 785
+    },
+    {
+      "entropy": 6.709064102172851,
+      "epoch": 0.6545153272576636,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00039450000000000005,
+      "loss": 6.5704,
+      "mean_token_accuracy": 0.10583743155002594,
+      "num_tokens": 1444438.0,
+      "step": 790
+    },
+    {
+      "entropy": 6.671351766586303,
+      "epoch": 0.6586578293289147,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00039700000000000005,
+      "loss": 6.4996,
+      "mean_token_accuracy": 0.11326526403427124,
+      "num_tokens": 1453740.0,
+      "step": 795
+    },
+    {
+      "entropy": 6.614573907852173,
+      "epoch": 0.6628003314001657,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003995,
+      "loss": 6.4874,
+      "mean_token_accuracy": 0.11111863479018211,
+      "num_tokens": 1462083.0,
+      "step": 800
+    },
+    {
+      "entropy": 6.484545516967773,
+      "epoch": 0.6669428334714167,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000402,
+      "loss": 6.4127,
+      "mean_token_accuracy": 0.1100592203438282,
+      "num_tokens": 1471459.0,
+      "step": 805
+    },
+    {
+      "entropy": 6.621589279174804,
+      "epoch": 0.6710853355426678,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004045,
+      "loss": 6.3972,
+      "mean_token_accuracy": 0.11681128293275833,
+      "num_tokens": 1480516.0,
+      "step": 810
+    },
+    {
+      "entropy": 6.421737241744995,
+      "epoch": 0.6752278376139188,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00040699999999999997,
+      "loss": 6.3,
+      "mean_token_accuracy": 0.11318568140268326,
+      "num_tokens": 1489268.0,
+      "step": 815
+    },
+    {
+      "entropy": 6.700246906280517,
+      "epoch": 0.6793703396851698,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004095,
+      "loss": 6.5174,
+      "mean_token_accuracy": 0.11110908538103104,
+      "num_tokens": 1498819.0,
+      "step": 820
+    },
+    {
+      "entropy": 6.622490644454956,
+      "epoch": 0.6835128417564209,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000412,
+      "loss": 6.501,
+      "mean_token_accuracy": 0.11033953949809075,
+      "num_tokens": 1507852.0,
+      "step": 825
+    },
+    {
+      "entropy": 6.59730544090271,
+      "epoch": 0.6876553438276719,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004145,
+      "loss": 6.5302,
+      "mean_token_accuracy": 0.11122860461473465,
+      "num_tokens": 1517538.0,
+      "step": 830
+    },
+    {
+      "entropy": 6.458763217926025,
+      "epoch": 0.6917978458989229,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000417,
+      "loss": 6.4061,
+      "mean_token_accuracy": 0.11324542313814163,
+      "num_tokens": 1525389.0,
+      "step": 835
+    },
+    {
+      "entropy": 6.57511887550354,
+      "epoch": 0.695940347970174,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004195,
+      "loss": 6.3741,
+      "mean_token_accuracy": 0.11116622686386109,
+      "num_tokens": 1534117.0,
+      "step": 840
+    },
+    {
+      "entropy": 6.522304344177246,
+      "epoch": 0.700082850041425,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000422,
+      "loss": 6.4029,
+      "mean_token_accuracy": 0.11315450444817543,
+      "num_tokens": 1542610.0,
+      "step": 845
+    },
+    {
+      "entropy": 6.5175107479095455,
+      "epoch": 0.704225352112676,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004245,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.1143906556069851,
+      "num_tokens": 1551771.0,
+      "step": 850
+    },
+    {
+      "entropy": 6.620167636871338,
+      "epoch": 0.7083678541839271,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.000427,
+      "loss": 6.5779,
+      "mean_token_accuracy": 0.10512799099087715,
+      "num_tokens": 1560231.0,
+      "step": 855
+    },
+    {
+      "entropy": 6.589151382446289,
+      "epoch": 0.7125103562551781,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004295,
+      "loss": 6.5346,
+      "mean_token_accuracy": 0.10532297939062119,
+      "num_tokens": 1569578.0,
+      "step": 860
+    },
+    {
+      "entropy": 6.563750839233398,
+      "epoch": 0.7166528583264291,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000432,
+      "loss": 6.4187,
+      "mean_token_accuracy": 0.11381370946764946,
+      "num_tokens": 1579308.0,
+      "step": 865
+    },
+    {
+      "entropy": 6.597287034988403,
+      "epoch": 0.7207953603976802,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004345,
+      "loss": 6.6081,
+      "mean_token_accuracy": 0.10267190784215927,
+      "num_tokens": 1589506.0,
+      "step": 870
+    },
+    {
+      "entropy": 6.482245397567749,
+      "epoch": 0.7249378624689312,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000437,
+      "loss": 6.3671,
+      "mean_token_accuracy": 0.11368186473846435,
+      "num_tokens": 1598127.0,
+      "step": 875
+    },
+    {
+      "entropy": 6.548954200744629,
+      "epoch": 0.7290803645401823,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004395,
+      "loss": 6.4125,
+      "mean_token_accuracy": 0.11406067088246345,
+      "num_tokens": 1608073.0,
+      "step": 880
+    },
+    {
+      "entropy": 6.551317119598389,
+      "epoch": 0.7332228666114333,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000442,
+      "loss": 6.4304,
+      "mean_token_accuracy": 0.11178040653467178,
+      "num_tokens": 1616272.0,
+      "step": 885
+    },
+    {
+      "entropy": 6.496135663986206,
+      "epoch": 0.7373653686826843,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004445,
+      "loss": 6.447,
+      "mean_token_accuracy": 0.10845504105091094,
+      "num_tokens": 1625577.0,
+      "step": 890
+    },
+    {
+      "entropy": 6.685812950134277,
+      "epoch": 0.7415078707539354,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000447,
+      "loss": 6.533,
+      "mean_token_accuracy": 0.10158233270049095,
+      "num_tokens": 1634902.0,
+      "step": 895
+    },
+    {
+      "entropy": 6.520436191558838,
+      "epoch": 0.7456503728251864,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00044950000000000003,
+      "loss": 6.4674,
+      "mean_token_accuracy": 0.10865833014249801,
+      "num_tokens": 1644131.0,
+      "step": 900
+    },
+    {
+      "entropy": 6.461379718780518,
+      "epoch": 0.7497928748964374,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00045200000000000004,
+      "loss": 6.3694,
+      "mean_token_accuracy": 0.12158194407820702,
+      "num_tokens": 1652272.0,
+      "step": 905
+    },
+    {
+      "entropy": 6.533070278167725,
+      "epoch": 0.7539353769676885,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00045450000000000004,
+      "loss": 6.4632,
+      "mean_token_accuracy": 0.11447574123740197,
+      "num_tokens": 1660962.0,
+      "step": 910
+    },
+    {
+      "entropy": 6.475569725036621,
+      "epoch": 0.7580778790389395,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045700000000000005,
+      "loss": 6.4006,
+      "mean_token_accuracy": 0.11205699220299721,
+      "num_tokens": 1670570.0,
+      "step": 915
+    },
+    {
+      "entropy": 6.526782608032226,
+      "epoch": 0.7622203811101905,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00045950000000000006,
+      "loss": 6.4497,
+      "mean_token_accuracy": 0.1096197433769703,
+      "num_tokens": 1679674.0,
+      "step": 920
+    },
+    {
+      "entropy": 6.530770015716553,
+      "epoch": 0.7663628831814416,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000462,
+      "loss": 6.4324,
+      "mean_token_accuracy": 0.11466658413410187,
+      "num_tokens": 1688849.0,
+      "step": 925
+    },
+    {
+      "entropy": 6.4163538932800295,
+      "epoch": 0.7705053852526926,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004645,
+      "loss": 6.3128,
+      "mean_token_accuracy": 0.1098814107477665,
+      "num_tokens": 1698565.0,
+      "step": 930
+    },
+    {
+      "entropy": 6.5036052703857425,
+      "epoch": 0.7746478873239436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000467,
+      "loss": 6.3986,
+      "mean_token_accuracy": 0.11683695837855339,
+      "num_tokens": 1708009.0,
+      "step": 935
+    },
+    {
+      "entropy": 6.518198871612549,
+      "epoch": 0.7787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004695,
+      "loss": 6.3878,
+      "mean_token_accuracy": 0.1126109592616558,
+      "num_tokens": 1716497.0,
+      "step": 940
+    },
+    {
+      "entropy": 6.415347719192505,
+      "epoch": 0.7829328914664457,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000472,
+      "loss": 6.4082,
+      "mean_token_accuracy": 0.12070046439766884,
+      "num_tokens": 1725609.0,
+      "step": 945
+    },
+    {
+      "entropy": 6.477306175231933,
+      "epoch": 0.7870753935376967,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004745,
+      "loss": 6.3456,
+      "mean_token_accuracy": 0.11454906165599824,
+      "num_tokens": 1734165.0,
+      "step": 950
+    },
+    {
+      "entropy": 6.454520893096924,
+      "epoch": 0.7912178956089478,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000477,
+      "loss": 6.4546,
+      "mean_token_accuracy": 0.10918105840682983,
+      "num_tokens": 1744856.0,
+      "step": 955
+    },
+    {
+      "entropy": 6.4711943626403805,
+      "epoch": 0.7953603976801988,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004795,
+      "loss": 6.4509,
+      "mean_token_accuracy": 0.10578904524445534,
+      "num_tokens": 1753386.0,
+      "step": 960
+    },
+    {
+      "entropy": 6.4536961078643795,
+      "epoch": 0.7995028997514498,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000482,
+      "loss": 6.3053,
+      "mean_token_accuracy": 0.11872726455330848,
+      "num_tokens": 1762521.0,
+      "step": 965
+    },
+    {
+      "entropy": 6.34936490058899,
+      "epoch": 0.8036454018227009,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004845,
+      "loss": 6.3765,
+      "mean_token_accuracy": 0.11444728896021843,
+      "num_tokens": 1772403.0,
+      "step": 970
+    },
+    {
+      "entropy": 6.375087881088257,
+      "epoch": 0.8077879038939519,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000487,
+      "loss": 6.2884,
+      "mean_token_accuracy": 0.11179185584187508,
+      "num_tokens": 1780924.0,
+      "step": 975
+    },
+    {
+      "entropy": 6.547906732559204,
+      "epoch": 0.8119304059652029,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004895,
+      "loss": 6.4367,
+      "mean_token_accuracy": 0.11225800514221192,
+      "num_tokens": 1789992.0,
+      "step": 980
+    },
+    {
+      "entropy": 6.421040678024292,
+      "epoch": 0.816072908036454,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000492,
+      "loss": 6.3919,
+      "mean_token_accuracy": 0.11761699616909027,
+      "num_tokens": 1799513.0,
+      "step": 985
+    },
+    {
+      "entropy": 6.332476711273193,
+      "epoch": 0.820215410107705,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0004945,
+      "loss": 6.2287,
+      "mean_token_accuracy": 0.11279567033052444,
+      "num_tokens": 1807393.0,
+      "step": 990
+    },
+    {
+      "entropy": 6.438618326187134,
+      "epoch": 0.824357912178956,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000497,
+      "loss": 6.5079,
+      "mean_token_accuracy": 0.10579989776015282,
+      "num_tokens": 1817284.0,
+      "step": 995
+    },
+    {
+      "entropy": 6.449818515777588,
+      "epoch": 0.8285004142502072,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004995,
+      "loss": 6.2996,
+      "mean_token_accuracy": 0.11799877136945724,
+      "num_tokens": 1825591.0,
+      "step": 1000
+    },
+    {
+      "epoch": 0.8285004142502072,
+      "eval_entropy": 6.222835092402216,
+      "eval_loss": 6.475013256072998,
+      "eval_mean_token_accuracy": 0.11269166863866961,
+      "eval_num_tokens": 1825591.0,
+      "eval_runtime": 2.7611,
+      "eval_samples_per_second": 1357.068,
+      "eval_steps_per_second": 169.86,
+      "step": 1000
+    },
+    {
+      "entropy": 6.457831478118896,
+      "epoch": 0.8326429163214581,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0004999998547681232,
+      "loss": 6.3959,
+      "mean_token_accuracy": 0.11798396334052086,
+      "num_tokens": 1834655.0,
+      "step": 1005
+    },
+    {
+      "entropy": 6.26599349975586,
+      "epoch": 0.8367854183927091,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004999992647639447,
+      "loss": 6.2578,
+      "mean_token_accuracy": 0.11858200430870056,
+      "num_tokens": 1844187.0,
+      "step": 1010
+    },
+    {
+      "entropy": 6.415271520614624,
+      "epoch": 0.8409279204639603,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999982209116618,
+      "loss": 6.3345,
+      "mean_token_accuracy": 0.11406200677156449,
+      "num_tokens": 1852768.0,
+      "step": 1015
+    },
+    {
+      "entropy": 6.355557584762574,
+      "epoch": 0.8450704225352113,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004999967232133796,
+      "loss": 6.3913,
+      "mean_token_accuracy": 0.12348653748631477,
+      "num_tokens": 1862095.0,
+      "step": 1020
+    },
+    {
+      "entropy": 6.427043008804321,
+      "epoch": 0.8492129246064622,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004999947716721196,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.10961534604430198,
+      "num_tokens": 1871239.0,
+      "step": 1025
+    },
+    {
+      "entropy": 6.509608554840088,
+      "epoch": 0.8533554266777134,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004999923662918179,
+      "loss": 6.4323,
+      "mean_token_accuracy": 0.11334251016378402,
+      "num_tokens": 1880065.0,
+      "step": 1030
+    },
+    {
+      "entropy": 6.417975521087646,
+      "epoch": 0.8574979287489644,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999895070773266,
+      "loss": 6.4608,
+      "mean_token_accuracy": 0.10985229611396789,
+      "num_tokens": 1889065.0,
+      "step": 1035
+    },
+    {
+      "entropy": 6.429206514358521,
+      "epoch": 0.8616404308202155,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999861940344129,
+      "loss": 6.4721,
+      "mean_token_accuracy": 0.11190373301506043,
+      "num_tokens": 1898238.0,
+      "step": 1040
+    },
+    {
+      "entropy": 6.462369585037232,
+      "epoch": 0.8657829328914665,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004999824271697597,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.12136606723070145,
+      "num_tokens": 1906780.0,
+      "step": 1045
+    },
+    {
+      "entropy": 6.506088638305664,
+      "epoch": 0.8699254349627175,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000499978206490965,
+      "loss": 6.4745,
+      "mean_token_accuracy": 0.11197563111782075,
+      "num_tokens": 1916183.0,
+      "step": 1050
+    },
+    {
+      "entropy": 6.427097368240356,
+      "epoch": 0.8740679370339686,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999735320065427,
+      "loss": 6.3371,
+      "mean_token_accuracy": 0.11927392706274986,
+      "num_tokens": 1925382.0,
+      "step": 1055
+    },
+    {
+      "entropy": 6.292429256439209,
+      "epoch": 0.8782104391052196,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999684037259216,
+      "loss": 6.1827,
+      "mean_token_accuracy": 0.1270924136042595,
+      "num_tokens": 1933639.0,
+      "step": 1060
+    },
+    {
+      "entropy": 6.3600146770477295,
+      "epoch": 0.8823529411764706,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999628216594456,
+      "loss": 6.464,
+      "mean_token_accuracy": 0.11409285366535186,
+      "num_tokens": 1943044.0,
+      "step": 1065
+    },
+    {
+      "entropy": 6.460871028900146,
+      "epoch": 0.8864954432477217,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000499956785818375,
+      "loss": 6.303,
+      "mean_token_accuracy": 0.11871922463178634,
+      "num_tokens": 1951777.0,
+      "step": 1070
+    },
+    {
+      "entropy": 6.376981210708618,
+      "epoch": 0.8906379453189727,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004999502962148843,
+      "loss": 6.3666,
+      "mean_token_accuracy": 0.1170460693538189,
+      "num_tokens": 1961356.0,
+      "step": 1075
+    },
+    {
+      "entropy": 6.439280414581299,
+      "epoch": 0.8947804473902237,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000499943352862064,
+      "loss": 6.4248,
+      "mean_token_accuracy": 0.11459407210350037,
+      "num_tokens": 1970341.0,
+      "step": 1080
+    },
+    {
+      "entropy": 6.394289827346801,
+      "epoch": 0.8989229494614748,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004999359557739194,
+      "loss": 6.2796,
+      "mean_token_accuracy": 0.12198276743292809,
+      "num_tokens": 1978576.0,
+      "step": 1085
+    },
+    {
+      "entropy": 6.319045782089233,
+      "epoch": 0.9030654515327258,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004999281049653713,
+      "loss": 6.3227,
+      "mean_token_accuracy": 0.11601013913750649,
+      "num_tokens": 1987229.0,
+      "step": 1090
+    },
+    {
+      "entropy": 6.376017141342163,
+      "epoch": 0.9072079536039768,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999198004522557,
+      "loss": 6.261,
+      "mean_token_accuracy": 0.12269015237689018,
+      "num_tokens": 1996473.0,
+      "step": 1095
+    },
+    {
+      "entropy": 6.2405853271484375,
+      "epoch": 0.9113504556752279,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999110422513237,
+      "loss": 6.286,
+      "mean_token_accuracy": 0.12056776732206345,
+      "num_tokens": 2005551.0,
+      "step": 1100
+    },
+    {
+      "entropy": 6.398191165924072,
+      "epoch": 0.9154929577464789,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999018303802414,
+      "loss": 6.3869,
+      "mean_token_accuracy": 0.11947718560695648,
+      "num_tokens": 2015012.0,
+      "step": 1105
+    },
+    {
+      "entropy": 6.374700450897217,
+      "epoch": 0.9196354598177299,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004998921648575904,
+      "loss": 6.3999,
+      "mean_token_accuracy": 0.1203969657421112,
+      "num_tokens": 2024435.0,
+      "step": 1110
+    },
+    {
+      "entropy": 6.380674362182617,
+      "epoch": 0.923777961888981,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004998820457028669,
+      "loss": 6.3005,
+      "mean_token_accuracy": 0.12089794874191284,
+      "num_tokens": 2033991.0,
+      "step": 1115
+    },
+    {
+      "entropy": 6.409522771835327,
+      "epoch": 0.927920463960232,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998714729364824,
+      "loss": 6.3017,
+      "mean_token_accuracy": 0.1228084571659565,
+      "num_tokens": 2043117.0,
+      "step": 1120
+    },
+    {
+      "entropy": 6.326260423660278,
+      "epoch": 0.932062966031483,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004998604465797634,
+      "loss": 6.3305,
+      "mean_token_accuracy": 0.11992078274488449,
+      "num_tokens": 2052304.0,
+      "step": 1125
+    },
+    {
+      "entropy": 6.251798295974732,
+      "epoch": 0.9362054681027341,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998489666549512,
+      "loss": 6.2779,
+      "mean_token_accuracy": 0.12114684730768203,
+      "num_tokens": 2061217.0,
+      "step": 1130
+    },
+    {
+      "entropy": 6.319644594192505,
+      "epoch": 0.9403479701739851,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.0004998370331852021,
+      "loss": 6.2517,
+      "mean_token_accuracy": 0.11879112273454666,
+      "num_tokens": 2070796.0,
+      "step": 1135
+    },
+    {
+      "entropy": 6.465651321411133,
+      "epoch": 0.9444904722452361,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004998246461945872,
+      "loss": 6.4037,
+      "mean_token_accuracy": 0.12191760018467904,
+      "num_tokens": 2080202.0,
+      "step": 1140
+    },
+    {
+      "entropy": 6.320812797546386,
+      "epoch": 0.9486329743164872,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004998118057080923,
+      "loss": 6.3045,
+      "mean_token_accuracy": 0.11891168132424354,
+      "num_tokens": 2089788.0,
+      "step": 1145
+    },
+    {
+      "entropy": 6.301202344894409,
+      "epoch": 0.9527754763877382,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004997985117516183,
+      "loss": 6.3462,
+      "mean_token_accuracy": 0.11142431199550629,
+      "num_tokens": 2098727.0,
+      "step": 1150
+    },
+    {
+      "entropy": 6.344118309020996,
+      "epoch": 0.9569179784589892,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997847643519803,
+      "loss": 6.226,
+      "mean_token_accuracy": 0.11924557387828827,
+      "num_tokens": 2107645.0,
+      "step": 1155
+    },
+    {
+      "entropy": 6.1790977954864506,
+      "epoch": 0.9610604805302403,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997705635369085,
+      "loss": 6.1991,
+      "mean_token_accuracy": 0.11988648250699044,
+      "num_tokens": 2116613.0,
+      "step": 1160
+    },
+    {
+      "entropy": 6.284418439865112,
+      "epoch": 0.9652029826014913,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004997559093350474,
+      "loss": 6.1881,
+      "mean_token_accuracy": 0.12116428092122078,
+      "num_tokens": 2125585.0,
+      "step": 1165
+    },
+    {
+      "entropy": 6.396596622467041,
+      "epoch": 0.9693454846727423,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004997408017759562,
+      "loss": 6.3359,
+      "mean_token_accuracy": 0.11936862170696258,
+      "num_tokens": 2134795.0,
+      "step": 1170
+    },
+    {
+      "entropy": 6.273751878738404,
+      "epoch": 0.9734879867439934,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004997252408901084,
+      "loss": 6.3271,
+      "mean_token_accuracy": 0.11899949684739113,
+      "num_tokens": 2143699.0,
+      "step": 1175
+    },
+    {
+      "entropy": 6.386678028106689,
+      "epoch": 0.9776304888152444,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004997092267088922,
+      "loss": 6.2707,
+      "mean_token_accuracy": 0.11861606612801552,
+      "num_tokens": 2152187.0,
+      "step": 1180
+    },
+    {
+      "entropy": 6.275117111206055,
+      "epoch": 0.9817729908864954,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004996927592646097,
+      "loss": 6.3412,
+      "mean_token_accuracy": 0.11767763197422028,
+      "num_tokens": 2160941.0,
+      "step": 1185
+    },
+    {
+      "entropy": 6.339710283279419,
+      "epoch": 0.9859154929577465,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004996758385904776,
+      "loss": 6.3119,
+      "mean_token_accuracy": 0.11789651140570641,
+      "num_tokens": 2168946.0,
+      "step": 1190
+    },
+    {
+      "entropy": 6.181374216079712,
+      "epoch": 0.9900579950289975,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004996584647206269,
+      "loss": 6.2237,
+      "mean_token_accuracy": 0.12055367529392243,
+      "num_tokens": 2177662.0,
+      "step": 1195
+    },
+    {
+      "entropy": 6.316773986816406,
+      "epoch": 0.9942004971002486,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004996406376901026,
+      "loss": 6.3268,
+      "mean_token_accuracy": 0.12757316455245019,
+      "num_tokens": 2187461.0,
+      "step": 1200
+    },
+    {
+      "entropy": 6.283385133743286,
+      "epoch": 0.9983429991714996,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004996223575348635,
+      "loss": 6.2207,
+      "mean_token_accuracy": 0.12578138560056687,
+      "num_tokens": 2196878.0,
+      "step": 1205
+    },
+    {
+      "entropy": 6.311019659042358,
+      "epoch": 1.0024855012427507,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004996036242917828,
+      "loss": 6.2021,
+      "mean_token_accuracy": 0.1151522897183895,
+      "num_tokens": 2206178.0,
+      "step": 1210
+    },
+    {
+      "entropy": 6.25421667098999,
+      "epoch": 1.0066280033140016,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004995844379986476,
+      "loss": 6.0526,
+      "mean_token_accuracy": 0.12476176023483276,
+      "num_tokens": 2215330.0,
+      "step": 1215
+    },
+    {
+      "entropy": 6.309921216964722,
+      "epoch": 1.0107705053852527,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004995647986941587,
+      "loss": 6.0354,
+      "mean_token_accuracy": 0.13005029112100602,
+      "num_tokens": 2224146.0,
+      "step": 1220
+    },
+    {
+      "entropy": 6.241363286972046,
+      "epoch": 1.0149130074565038,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004995447064179308,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13421598002314566,
+      "num_tokens": 2233646.0,
+      "step": 1225
+    },
+    {
+      "entropy": 6.058859920501709,
+      "epoch": 1.0190555095277547,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.000499524161210492,
+      "loss": 5.9379,
+      "mean_token_accuracy": 0.12560308948159218,
+      "num_tokens": 2243663.0,
+      "step": 1230
+    },
+    {
+      "entropy": 6.270004224777222,
+      "epoch": 1.0231980115990058,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004995031631132844,
+      "loss": 6.1035,
+      "mean_token_accuracy": 0.13170127123594283,
+      "num_tokens": 2252564.0,
+      "step": 1235
+    },
+    {
+      "entropy": 6.2710247993469235,
+      "epoch": 1.027340513670257,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004994817121686633,
+      "loss": 6.099,
+      "mean_token_accuracy": 0.12465815395116805,
+      "num_tokens": 2262504.0,
+      "step": 1240
+    },
+    {
+      "entropy": 6.193396997451782,
+      "epoch": 1.0314830157415078,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004994598084198979,
+      "loss": 5.9843,
+      "mean_token_accuracy": 0.1374910719692707,
+      "num_tokens": 2270553.0,
+      "step": 1245
+    },
+    {
+      "entropy": 6.136552810668945,
+      "epoch": 1.035625517812759,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004994374519111701,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.1272726461291313,
+      "num_tokens": 2279319.0,
+      "step": 1250
+    },
+    {
+      "entropy": 6.217378282546997,
+      "epoch": 1.03976801988401,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004994146426875757,
+      "loss": 6.123,
+      "mean_token_accuracy": 0.126935476064682,
+      "num_tokens": 2288749.0,
+      "step": 1255
+    },
+    {
+      "entropy": 6.218695068359375,
+      "epoch": 1.043910521955261,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004993913807951232,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.12562426924705505,
+      "num_tokens": 2298272.0,
+      "step": 1260
+    },
+    {
+      "entropy": 6.221994352340698,
+      "epoch": 1.048053024026512,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004993676662807345,
+      "loss": 6.047,
+      "mean_token_accuracy": 0.12884460240602494,
+      "num_tokens": 2307230.0,
+      "step": 1265
+    },
+    {
+      "entropy": 6.183428144454956,
+      "epoch": 1.0521955260977631,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004993434991922443,
+      "loss": 6.1317,
+      "mean_token_accuracy": 0.12460145726799965,
+      "num_tokens": 2316306.0,
+      "step": 1270
+    },
+    {
+      "entropy": 6.22090425491333,
+      "epoch": 1.056338028169014,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004993188795784002,
+      "loss": 6.0531,
+      "mean_token_accuracy": 0.1241947129368782,
+      "num_tokens": 2325672.0,
+      "step": 1275
+    },
+    {
+      "entropy": 6.1453857421875,
+      "epoch": 1.0604805302402651,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004992938074888628,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.1274007849395275,
+      "num_tokens": 2335251.0,
+      "step": 1280
+    },
+    {
+      "entropy": 6.180039167404175,
+      "epoch": 1.0646230323115162,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004992682829742052,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.1308726042509079,
+      "num_tokens": 2344054.0,
+      "step": 1285
+    },
+    {
+      "entropy": 6.086296463012696,
+      "epoch": 1.0687655343827671,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004992423060859132,
+      "loss": 6.0236,
+      "mean_token_accuracy": 0.127706591039896,
+      "num_tokens": 2353493.0,
+      "step": 1290
+    },
+    {
+      "entropy": 6.223158740997315,
+      "epoch": 1.0729080364540182,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004992158768763849,
+      "loss": 6.1321,
+      "mean_token_accuracy": 0.12850543335080147,
+      "num_tokens": 2362687.0,
+      "step": 1295
+    },
+    {
+      "entropy": 6.2506636619567875,
+      "epoch": 1.0770505385252693,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004991889953989308,
+      "loss": 6.0965,
+      "mean_token_accuracy": 0.12563316524028778,
+      "num_tokens": 2372325.0,
+      "step": 1300
+    },
+    {
+      "entropy": 6.173602199554443,
+      "epoch": 1.0811930405965202,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004991616617077741,
+      "loss": 6.12,
+      "mean_token_accuracy": 0.1287991665303707,
+      "num_tokens": 2381987.0,
+      "step": 1305
+    },
+    {
+      "entropy": 6.307486963272095,
+      "epoch": 1.0853355426677713,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004991338758580496,
+      "loss": 6.0234,
+      "mean_token_accuracy": 0.13178783878684044,
+      "num_tokens": 2390901.0,
+      "step": 1310
+    },
+    {
+      "entropy": 6.034789133071899,
+      "epoch": 1.0894780447390224,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004991056379058045,
+      "loss": 6.0813,
+      "mean_token_accuracy": 0.12450421676039695,
+      "num_tokens": 2400756.0,
+      "step": 1315
+    },
+    {
+      "entropy": 6.188017988204956,
+      "epoch": 1.0936205468102733,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004990769479079976,
+      "loss": 5.9232,
+      "mean_token_accuracy": 0.12984196096658707,
+      "num_tokens": 2409526.0,
+      "step": 1320
+    },
+    {
+      "entropy": 6.086554956436157,
+      "epoch": 1.0977630488815244,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004990478059225003,
+      "loss": 6.0931,
+      "mean_token_accuracy": 0.12972966134548186,
+      "num_tokens": 2419583.0,
+      "step": 1325
+    },
+    {
+      "entropy": 6.2457873821258545,
+      "epoch": 1.1019055509527755,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004990182120080945,
+      "loss": 6.0338,
+      "mean_token_accuracy": 0.12990806251764297,
+      "num_tokens": 2429439.0,
+      "step": 1330
+    },
+    {
+      "entropy": 6.078778219223023,
+      "epoch": 1.1060480530240264,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004989881662244748,
+      "loss": 6.0416,
+      "mean_token_accuracy": 0.12380676046013832,
+      "num_tokens": 2438467.0,
+      "step": 1335
+    },
+    {
+      "entropy": 6.138932418823242,
+      "epoch": 1.1101905550952775,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004989576686322468,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.1332716926932335,
+      "num_tokens": 2446619.0,
+      "step": 1340
+    },
+    {
+      "entropy": 6.1281578540802,
+      "epoch": 1.1143330571665286,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004989267192929272,
+      "loss": 6.0379,
+      "mean_token_accuracy": 0.12955363765358924,
+      "num_tokens": 2454998.0,
+      "step": 1345
+    },
+    {
+      "entropy": 6.09554443359375,
+      "epoch": 1.1184755592377795,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004988953182689445,
+      "loss": 6.0072,
+      "mean_token_accuracy": 0.13532012328505516,
+      "num_tokens": 2463497.0,
+      "step": 1350
+    },
+    {
+      "entropy": 6.134703922271728,
+      "epoch": 1.1226180613090306,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004988634656236378,
+      "loss": 5.9216,
+      "mean_token_accuracy": 0.13609320148825646,
+      "num_tokens": 2471763.0,
+      "step": 1355
+    },
+    {
+      "entropy": 6.145527791976929,
+      "epoch": 1.1267605633802817,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004988311614212576,
+      "loss": 6.0016,
+      "mean_token_accuracy": 0.1402701161801815,
+      "num_tokens": 2479949.0,
+      "step": 1360
+    },
+    {
+      "entropy": 6.116470623016357,
+      "epoch": 1.1309030654515326,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004987984057269648,
+      "loss": 6.0539,
+      "mean_token_accuracy": 0.13444141745567323,
+      "num_tokens": 2489097.0,
+      "step": 1365
+    },
+    {
+      "entropy": 5.972180604934692,
+      "epoch": 1.1350455675227837,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004987651986068311,
+      "loss": 5.8781,
+      "mean_token_accuracy": 0.13601028621196748,
+      "num_tokens": 2497625.0,
+      "step": 1370
+    },
+    {
+      "entropy": 6.143597984313965,
+      "epoch": 1.1391880695940348,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004987315401278394,
+      "loss": 6.1252,
+      "mean_token_accuracy": 0.1272761717438698,
+      "num_tokens": 2507107.0,
+      "step": 1375
+    },
+    {
+      "entropy": 6.286170959472656,
+      "epoch": 1.143330571665286,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004986974303578819,
+      "loss": 6.1408,
+      "mean_token_accuracy": 0.12348597794771195,
+      "num_tokens": 2516629.0,
+      "step": 1380
+    },
+    {
+      "entropy": 6.077923250198364,
+      "epoch": 1.1474730737365368,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004986628693657621,
+      "loss": 6.021,
+      "mean_token_accuracy": 0.1280151717364788,
+      "num_tokens": 2525924.0,
+      "step": 1385
+    },
+    {
+      "entropy": 6.229060649871826,
+      "epoch": 1.151615575807788,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004986278572211933,
+      "loss": 6.1723,
+      "mean_token_accuracy": 0.1280426375567913,
+      "num_tokens": 2535586.0,
+      "step": 1390
+    },
+    {
+      "entropy": 6.189875984191895,
+      "epoch": 1.1557580778790388,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004985923939947987,
+      "loss": 6.2595,
+      "mean_token_accuracy": 0.1247698113322258,
+      "num_tokens": 2546685.0,
+      "step": 1395
+    },
+    {
+      "entropy": 6.148470640182495,
+      "epoch": 1.15990057995029,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004985564797581115,
+      "loss": 5.9681,
+      "mean_token_accuracy": 0.12971177995204924,
+      "num_tokens": 2556873.0,
+      "step": 1400
+    },
+    {
+      "entropy": 6.143459701538086,
+      "epoch": 1.164043082021541,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004985201145835747,
+      "loss": 5.9836,
+      "mean_token_accuracy": 0.13127154856920242,
+      "num_tokens": 2565222.0,
+      "step": 1405
+    },
+    {
+      "entropy": 6.031957960128784,
+      "epoch": 1.1681855840927922,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.000498483298544541,
+      "loss": 5.9875,
+      "mean_token_accuracy": 0.13211632743477822,
+      "num_tokens": 2575467.0,
+      "step": 1410
+    },
+    {
+      "entropy": 6.136318731307983,
+      "epoch": 1.172328086164043,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000498446031715272,
+      "loss": 6.0125,
+      "mean_token_accuracy": 0.13508019223809242,
+      "num_tokens": 2583963.0,
+      "step": 1415
+    },
+    {
+      "entropy": 6.133963680267334,
+      "epoch": 1.1764705882352942,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004984083141709391,
+      "loss": 6.042,
+      "mean_token_accuracy": 0.13524071872234344,
+      "num_tokens": 2593350.0,
+      "step": 1420
+    },
+    {
+      "entropy": 5.975436115264893,
+      "epoch": 1.180613090306545,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000498370145987623,
+      "loss": 5.9652,
+      "mean_token_accuracy": 0.13682079091668128,
+      "num_tokens": 2602191.0,
+      "step": 1425
+    },
+    {
+      "entropy": 6.170718050003051,
+      "epoch": 1.1847555923777962,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004983315272423127,
+      "loss": 6.0999,
+      "mean_token_accuracy": 0.1291058838367462,
+      "num_tokens": 2613590.0,
+      "step": 1430
+    },
+    {
+      "entropy": 6.049332237243652,
+      "epoch": 1.1888980944490473,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004982924580129066,
+      "loss": 5.8895,
+      "mean_token_accuracy": 0.1340464949607849,
+      "num_tokens": 2622072.0,
+      "step": 1435
+    },
+    {
+      "entropy": 6.093293142318726,
+      "epoch": 1.1930405965202984,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004982529383782116,
+      "loss": 6.1012,
+      "mean_token_accuracy": 0.13022035285830497,
+      "num_tokens": 2630904.0,
+      "step": 1440
+    },
+    {
+      "entropy": 6.189996242523193,
+      "epoch": 1.1971830985915493,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004982129684179432,
+      "loss": 6.0594,
+      "mean_token_accuracy": 0.13088259026408194,
+      "num_tokens": 2639925.0,
+      "step": 1445
+    },
+    {
+      "entropy": 6.1187131881713865,
+      "epoch": 1.2013256006628004,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004981725482127251,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.13439981341362,
+      "num_tokens": 2649397.0,
+      "step": 1450
+    },
+    {
+      "entropy": 6.16315655708313,
+      "epoch": 1.2054681027340513,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004981316778440892,
+      "loss": 6.081,
+      "mean_token_accuracy": 0.13515593931078912,
+      "num_tokens": 2658877.0,
+      "step": 1455
+    },
+    {
+      "entropy": 6.063838720321655,
+      "epoch": 1.2096106048053024,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004980903573944756,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13121431767940522,
+      "num_tokens": 2668518.0,
+      "step": 1460
+    },
+    {
+      "entropy": 6.059180212020874,
+      "epoch": 1.2137531068765535,
+      "grad_norm": 1.0078125,
+      "learning_rate": 0.0004980485869472322,
+      "loss": 6.1148,
+      "mean_token_accuracy": 0.12996160089969636,
+      "num_tokens": 2677459.0,
+      "step": 1465
+    },
+    {
+      "entropy": 6.223527908325195,
+      "epoch": 1.2178956089478046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004980063665866143,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12482839822769165,
+      "num_tokens": 2686668.0,
+      "step": 1470
+    },
+    {
+      "entropy": 5.935272264480591,
+      "epoch": 1.2220381110190555,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004979636963977853,
+      "loss": 5.8825,
+      "mean_token_accuracy": 0.1352998949587345,
+      "num_tokens": 2695545.0,
+      "step": 1475
+    },
+    {
+      "entropy": 6.066101598739624,
+      "epoch": 1.2261806130903066,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004979205764668156,
+      "loss": 6.0569,
+      "mean_token_accuracy": 0.13228241056203843,
+      "num_tokens": 2705514.0,
+      "step": 1480
+    },
+    {
+      "entropy": 6.138315343856812,
+      "epoch": 1.2303231151615575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004978770068806825,
+      "loss": 5.9599,
+      "mean_token_accuracy": 0.13136665150523186,
+      "num_tokens": 2714373.0,
+      "step": 1485
+    },
+    {
+      "entropy": 6.061770391464234,
+      "epoch": 1.2344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.000497832987727271,
+      "loss": 6.0715,
+      "mean_token_accuracy": 0.1264137916266918,
+      "num_tokens": 2723887.0,
+      "step": 1490
+    },
+    {
+      "entropy": 6.061756038665772,
+      "epoch": 1.2386081193040597,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004977885190953724,
+      "loss": 5.956,
+      "mean_token_accuracy": 0.13353569880127908,
+      "num_tokens": 2733591.0,
+      "step": 1495
+    },
+    {
+      "entropy": 6.104292392730713,
+      "epoch": 1.2427506213753108,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004977436010746846,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.13720986992120743,
+      "num_tokens": 2741638.0,
+      "step": 1500
+    },
+    {
+      "epoch": 1.2427506213753108,
+      "eval_entropy": 6.029743814773397,
+      "eval_loss": 6.2611613273620605,
+      "eval_mean_token_accuracy": 0.12890694399219332,
+      "eval_num_tokens": 2741638.0,
+      "eval_runtime": 2.9518,
+      "eval_samples_per_second": 1269.399,
+      "eval_steps_per_second": 158.887,
+      "step": 1500
+    },
+    {
+      "entropy": 6.078821802139283,
+      "epoch": 1.2468931234465617,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004976982337558124,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13084649220108985,
+      "num_tokens": 2749711.0,
+      "step": 1505
+    },
+    {
+      "entropy": 6.094208097457885,
+      "epoch": 1.2510356255178128,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004976524172302665,
+      "loss": 6.121,
+      "mean_token_accuracy": 0.13192041367292404,
+      "num_tokens": 2758121.0,
+      "step": 1510
+    },
+    {
+      "entropy": 6.159745693206787,
+      "epoch": 1.2551781275890637,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004976061515904641,
+      "loss": 6.1181,
+      "mean_token_accuracy": 0.12667254582047463,
+      "num_tokens": 2766764.0,
+      "step": 1515
+    },
+    {
+      "entropy": 6.116680526733399,
+      "epoch": 1.2593206296603148,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004975594369297277,
+      "loss": 6.0557,
+      "mean_token_accuracy": 0.1348518520593643,
+      "num_tokens": 2775561.0,
+      "step": 1520
+    },
+    {
+      "entropy": 6.08063235282898,
+      "epoch": 1.2634631317315659,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004975122733422861,
+      "loss": 6.0201,
+      "mean_token_accuracy": 0.13085112273693084,
+      "num_tokens": 2784691.0,
+      "step": 1525
+    },
+    {
+      "entropy": 6.129113435745239,
+      "epoch": 1.267605633802817,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004974646609232732,
+      "loss": 5.9816,
+      "mean_token_accuracy": 0.13641836866736412,
+      "num_tokens": 2793893.0,
+      "step": 1530
+    },
+    {
+      "entropy": 6.108260202407837,
+      "epoch": 1.2717481358740679,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004974165997687288,
+      "loss": 6.0751,
+      "mean_token_accuracy": 0.13353196606040002,
+      "num_tokens": 2804479.0,
+      "step": 1535
+    },
+    {
+      "entropy": 6.16022138595581,
+      "epoch": 1.275890637945319,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004973680899755972,
+      "loss": 6.107,
+      "mean_token_accuracy": 0.1326654002070427,
+      "num_tokens": 2813966.0,
+      "step": 1540
+    },
+    {
+      "entropy": 6.007886743545532,
+      "epoch": 1.2800331400165699,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000497319131641728,
+      "loss": 5.9326,
+      "mean_token_accuracy": 0.13846119418740271,
+      "num_tokens": 2822328.0,
+      "step": 1545
+    },
+    {
+      "entropy": 6.003260755538941,
+      "epoch": 1.284175642087821,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004972697248658755,
+      "loss": 5.8899,
+      "mean_token_accuracy": 0.14066707715392113,
+      "num_tokens": 2829845.0,
+      "step": 1550
+    },
+    {
+      "entropy": 5.948832178115845,
+      "epoch": 1.288318144159072,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004972198697476987,
+      "loss": 5.8783,
+      "mean_token_accuracy": 0.13914238885045052,
+      "num_tokens": 2839040.0,
+      "step": 1555
+    },
+    {
+      "entropy": 5.961882209777832,
+      "epoch": 1.2924606462303232,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004971695663877607,
+      "loss": 5.9665,
+      "mean_token_accuracy": 0.13561231270432472,
+      "num_tokens": 2848574.0,
+      "step": 1560
+    },
+    {
+      "entropy": 6.077086877822876,
+      "epoch": 1.296603148301574,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004971188148875289,
+      "loss": 5.9421,
+      "mean_token_accuracy": 0.14444561377167703,
+      "num_tokens": 2856812.0,
+      "step": 1565
+    },
+    {
+      "entropy": 6.051652336120606,
+      "epoch": 1.3007456503728252,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004970676153493748,
+      "loss": 6.0283,
+      "mean_token_accuracy": 0.13189572617411613,
+      "num_tokens": 2866001.0,
+      "step": 1570
+    },
+    {
+      "entropy": 6.1068840503692625,
+      "epoch": 1.3048881524440763,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004970159678765731,
+      "loss": 6.0164,
+      "mean_token_accuracy": 0.13239546120166779,
+      "num_tokens": 2875181.0,
+      "step": 1575
+    },
+    {
+      "entropy": 6.049808597564697,
+      "epoch": 1.3090306545153272,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004969638725733028,
+      "loss": 5.9587,
+      "mean_token_accuracy": 0.13397156223654746,
+      "num_tokens": 2885103.0,
+      "step": 1580
+    },
+    {
+      "entropy": 5.92131872177124,
+      "epoch": 1.3131731565865783,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004969113295446455,
+      "loss": 5.9116,
+      "mean_token_accuracy": 0.1383065924048424,
+      "num_tokens": 2894055.0,
+      "step": 1585
+    },
+    {
+      "entropy": 6.116864538192749,
+      "epoch": 1.3173156586578294,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004968583388965863,
+      "loss": 5.9846,
+      "mean_token_accuracy": 0.133075200766325,
+      "num_tokens": 2903391.0,
+      "step": 1590
+    },
+    {
+      "entropy": 6.006745624542236,
+      "epoch": 1.3214581607290803,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004968049007360132,
+      "loss": 5.9854,
+      "mean_token_accuracy": 0.13297903537750244,
+      "num_tokens": 2911760.0,
+      "step": 1595
+    },
+    {
+      "entropy": 5.926331329345703,
+      "epoch": 1.3256006628003314,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004967510151707169,
+      "loss": 5.9369,
+      "mean_token_accuracy": 0.13469143435359002,
+      "num_tokens": 2920589.0,
+      "step": 1600
+    },
+    {
+      "entropy": 6.15295524597168,
+      "epoch": 1.3297431648715825,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004966966823093903,
+      "loss": 6.0746,
+      "mean_token_accuracy": 0.1302391268312931,
+      "num_tokens": 2929635.0,
+      "step": 1605
+    },
+    {
+      "entropy": 5.986531114578247,
+      "epoch": 1.3338856669428334,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004966419022616287,
+      "loss": 5.9349,
+      "mean_token_accuracy": 0.13593596145510672,
+      "num_tokens": 2938778.0,
+      "step": 1610
+    },
+    {
+      "entropy": 6.039755535125733,
+      "epoch": 1.3380281690140845,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004965866751379296,
+      "loss": 6.0503,
+      "mean_token_accuracy": 0.13109695687890052,
+      "num_tokens": 2947836.0,
+      "step": 1615
+    },
+    {
+      "entropy": 6.133180904388428,
+      "epoch": 1.3421706710853356,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004965310010496922,
+      "loss": 6.0032,
+      "mean_token_accuracy": 0.1280514419078827,
+      "num_tokens": 2957028.0,
+      "step": 1620
+    },
+    {
+      "entropy": 6.026159048080444,
+      "epoch": 1.3463131731565865,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004964748801092168,
+      "loss": 5.9571,
+      "mean_token_accuracy": 0.1338861681520939,
+      "num_tokens": 2966088.0,
+      "step": 1625
+    },
+    {
+      "entropy": 6.078959226608276,
+      "epoch": 1.3504556752278376,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004964183124297059,
+      "loss": 6.0438,
+      "mean_token_accuracy": 0.13178688064217567,
+      "num_tokens": 2975271.0,
+      "step": 1630
+    },
+    {
+      "entropy": 5.992210865020752,
+      "epoch": 1.3545981772990887,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004963612981252625,
+      "loss": 6.0524,
+      "mean_token_accuracy": 0.1321226365864277,
+      "num_tokens": 2983799.0,
+      "step": 1635
+    },
+    {
+      "entropy": 6.056794929504394,
+      "epoch": 1.3587406793703396,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004963038373108908,
+      "loss": 6.0179,
+      "mean_token_accuracy": 0.13609340488910676,
+      "num_tokens": 2992675.0,
+      "step": 1640
+    },
+    {
+      "entropy": 6.155933427810669,
+      "epoch": 1.3628831814415907,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004962459301024954,
+      "loss": 6.0838,
+      "mean_token_accuracy": 0.13211635649204254,
+      "num_tokens": 3002483.0,
+      "step": 1645
+    },
+    {
+      "entropy": 6.027872896194458,
+      "epoch": 1.3670256835128418,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004961875766168816,
+      "loss": 5.985,
+      "mean_token_accuracy": 0.13883458971977233,
+      "num_tokens": 3010611.0,
+      "step": 1650
+    },
+    {
+      "entropy": 6.057289028167725,
+      "epoch": 1.371168185584093,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004961287769717547,
+      "loss": 5.9397,
+      "mean_token_accuracy": 0.13197456523776055,
+      "num_tokens": 3019928.0,
+      "step": 1655
+    },
+    {
+      "entropy": 5.9325989246368405,
+      "epoch": 1.3753106876553438,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004960695312857199,
+      "loss": 5.9279,
+      "mean_token_accuracy": 0.13408055454492568,
+      "num_tokens": 3029003.0,
+      "step": 1660
+    },
+    {
+      "entropy": 6.0389604568481445,
+      "epoch": 1.379453189726595,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004960098396782824,
+      "loss": 5.9464,
+      "mean_token_accuracy": 0.1375861033797264,
+      "num_tokens": 3038049.0,
+      "step": 1665
+    },
+    {
+      "entropy": 5.969662141799927,
+      "epoch": 1.3835956917978458,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004959497022698466,
+      "loss": 5.9515,
+      "mean_token_accuracy": 0.14408120438456534,
+      "num_tokens": 3046674.0,
+      "step": 1670
+    },
+    {
+      "entropy": 6.0561059474945065,
+      "epoch": 1.387738193869097,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004958891191817163,
+      "loss": 5.9927,
+      "mean_token_accuracy": 0.12801324650645257,
+      "num_tokens": 3056459.0,
+      "step": 1675
+    },
+    {
+      "entropy": 6.032327270507812,
+      "epoch": 1.391880695940348,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000495828090536094,
+      "loss": 5.9845,
+      "mean_token_accuracy": 0.13036760538816453,
+      "num_tokens": 3066294.0,
+      "step": 1680
+    },
+    {
+      "entropy": 6.0512574195861815,
+      "epoch": 1.3960231980115991,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004957666164560815,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13139644563198088,
+      "num_tokens": 3075420.0,
+      "step": 1685
+    },
+    {
+      "entropy": 6.063203239440918,
+      "epoch": 1.40016570008285,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004957046970656784,
+      "loss": 6.0385,
+      "mean_token_accuracy": 0.13581736162304878,
+      "num_tokens": 3084373.0,
+      "step": 1690
+    },
+    {
+      "entropy": 6.00097541809082,
+      "epoch": 1.4043082021541011,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004956423324897831,
+      "loss": 6.0257,
+      "mean_token_accuracy": 0.13937310948967935,
+      "num_tokens": 3094212.0,
+      "step": 1695
+    },
+    {
+      "entropy": 6.043115425109863,
+      "epoch": 1.408450704225352,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004955795228541917,
+      "loss": 5.9589,
+      "mean_token_accuracy": 0.14452596232295037,
+      "num_tokens": 3102769.0,
+      "step": 1700
+    },
+    {
+      "entropy": 6.040110731124878,
+      "epoch": 1.4125932062966031,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000495516268285598,
+      "loss": 5.9805,
+      "mean_token_accuracy": 0.13440805301070213,
+      "num_tokens": 3111465.0,
+      "step": 1705
+    },
+    {
+      "entropy": 5.978239822387695,
+      "epoch": 1.4167357083678542,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004954525689115935,
+      "loss": 5.9177,
+      "mean_token_accuracy": 0.13326097056269645,
+      "num_tokens": 3121106.0,
+      "step": 1710
+    },
+    {
+      "entropy": 6.007881164550781,
+      "epoch": 1.4208782104391053,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004953884248606669,
+      "loss": 5.945,
+      "mean_token_accuracy": 0.14831372052431108,
+      "num_tokens": 3130662.0,
+      "step": 1715
+    },
+    {
+      "entropy": 5.97642674446106,
+      "epoch": 1.4250207125103562,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004953238362622034,
+      "loss": 5.9812,
+      "mean_token_accuracy": 0.13328263983130456,
+      "num_tokens": 3139538.0,
+      "step": 1720
+    },
+    {
+      "entropy": 6.0256367206573485,
+      "epoch": 1.4291632145816073,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004952588032464855,
+      "loss": 6.0298,
+      "mean_token_accuracy": 0.12707214802503586,
+      "num_tokens": 3148552.0,
+      "step": 1725
+    },
+    {
+      "entropy": 5.996851205825806,
+      "epoch": 1.4333057166528582,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004951933259446919,
+      "loss": 5.9365,
+      "mean_token_accuracy": 0.14197203740477563,
+      "num_tokens": 3156549.0,
+      "step": 1730
+    },
+    {
+      "entropy": 6.114988136291504,
+      "epoch": 1.4374482187241093,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004951274044888975,
+      "loss": 6.1006,
+      "mean_token_accuracy": 0.12147112190723419,
+      "num_tokens": 3166821.0,
+      "step": 1735
+    },
+    {
+      "entropy": 5.960144329071045,
+      "epoch": 1.4415907207953604,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004950610390120731,
+      "loss": 5.9848,
+      "mean_token_accuracy": 0.135729306191206,
+      "num_tokens": 3174962.0,
+      "step": 1740
+    },
+    {
+      "entropy": 6.087535095214844,
+      "epoch": 1.4457332228666115,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000494994229648085,
+      "loss": 5.8903,
+      "mean_token_accuracy": 0.13537728488445283,
+      "num_tokens": 3184027.0,
+      "step": 1745
+    },
+    {
+      "entropy": 5.957475805282593,
+      "epoch": 1.4498757249378624,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004949269765316948,
+      "loss": 6.0321,
+      "mean_token_accuracy": 0.13071285635232927,
+      "num_tokens": 3193186.0,
+      "step": 1750
+    },
+    {
+      "entropy": 6.171153354644775,
+      "epoch": 1.4540182270091135,
+      "grad_norm": 2.140625,
+      "learning_rate": 0.0004948592797985599,
+      "loss": 6.0525,
+      "mean_token_accuracy": 0.13555259853601456,
+      "num_tokens": 3202676.0,
+      "step": 1755
+    },
+    {
+      "entropy": 6.123908805847168,
+      "epoch": 1.4581607290803644,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947911395852317,
+      "loss": 6.1524,
+      "mean_token_accuracy": 0.1352410912513733,
+      "num_tokens": 3211950.0,
+      "step": 1760
+    },
+    {
+      "entropy": 6.120599699020386,
+      "epoch": 1.4623032311516155,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947225560291565,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12961760386824608,
+      "num_tokens": 3221135.0,
+      "step": 1765
+    },
+    {
+      "entropy": 5.962483358383179,
+      "epoch": 1.4664457332228666,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004946535292686746,
+      "loss": 5.8975,
+      "mean_token_accuracy": 0.13825839310884475,
+      "num_tokens": 3230174.0,
+      "step": 1770
+    },
+    {
+      "entropy": 5.979943370819091,
+      "epoch": 1.4705882352941178,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004945840594430209,
+      "loss": 5.8871,
+      "mean_token_accuracy": 0.1381668671965599,
+      "num_tokens": 3238898.0,
+      "step": 1775
+    },
+    {
+      "entropy": 5.973515844345092,
+      "epoch": 1.4747307373653686,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004945141466923235,
+      "loss": 5.9292,
+      "mean_token_accuracy": 0.14479121565818787,
+      "num_tokens": 3247550.0,
+      "step": 1780
+    },
+    {
+      "entropy": 6.113377714157105,
+      "epoch": 1.4788732394366197,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004944437911576041,
+      "loss": 6.0779,
+      "mean_token_accuracy": 0.12900342419743538,
+      "num_tokens": 3256810.0,
+      "step": 1785
+    },
+    {
+      "entropy": 5.9020613670349125,
+      "epoch": 1.4830157415078706,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004943729929807772,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.139550269395113,
+      "num_tokens": 3265886.0,
+      "step": 1790
+    },
+    {
+      "entropy": 6.06021089553833,
+      "epoch": 1.4871582435791217,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004943017523046507,
+      "loss": 5.9273,
+      "mean_token_accuracy": 0.137468421459198,
+      "num_tokens": 3274522.0,
+      "step": 1795
+    },
+    {
+      "entropy": 6.027210426330567,
+      "epoch": 1.4913007456503728,
+      "grad_norm": 1.25,
+      "learning_rate": 0.000494230069272925,
+      "loss": 6.0486,
+      "mean_token_accuracy": 0.13558472618460654,
+      "num_tokens": 3283388.0,
+      "step": 1800
+    },
+    {
+      "entropy": 5.989331531524658,
+      "epoch": 1.495443247721624,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004941579440301923,
+      "loss": 5.9224,
+      "mean_token_accuracy": 0.1305856943130493,
+      "num_tokens": 3291887.0,
+      "step": 1805
+    },
+    {
+      "entropy": 5.96136965751648,
+      "epoch": 1.4995857497928748,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940853767219372,
+      "loss": 5.9685,
+      "mean_token_accuracy": 0.13564062863588333,
+      "num_tokens": 3300674.0,
+      "step": 1810
+    },
+    {
+      "entropy": 5.9364429950714115,
+      "epoch": 1.503728251864126,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940123674945359,
+      "loss": 5.8311,
+      "mean_token_accuracy": 0.13808463513851166,
+      "num_tokens": 3309745.0,
+      "step": 1815
+    },
+    {
+      "entropy": 6.076629638671875,
+      "epoch": 1.5078707539353768,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004939389164952561,
+      "loss": 5.9722,
+      "mean_token_accuracy": 0.1378110609948635,
+      "num_tokens": 3318888.0,
+      "step": 1820
+    },
+    {
+      "entropy": 5.8970863819122314,
+      "epoch": 1.512013256006628,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004938650238722564,
+      "loss": 5.9296,
+      "mean_token_accuracy": 0.13823849260807036,
+      "num_tokens": 3328274.0,
+      "step": 1825
+    },
+    {
+      "entropy": 6.003948831558228,
+      "epoch": 1.516155758077879,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004937906897745861,
+      "loss": 5.9387,
+      "mean_token_accuracy": 0.1468382939696312,
+      "num_tokens": 3337579.0,
+      "step": 1830
+    },
+    {
+      "entropy": 6.045965003967285,
+      "epoch": 1.5202982601491302,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004937159143521856,
+      "loss": 5.9081,
+      "mean_token_accuracy": 0.14555162489414214,
+      "num_tokens": 3346262.0,
+      "step": 1835
+    },
+    {
+      "entropy": 5.972390079498291,
+      "epoch": 1.5244407622203813,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004936406977558847,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.13030771315097808,
+      "num_tokens": 3354833.0,
+      "step": 1840
+    },
+    {
+      "entropy": 6.051387977600098,
+      "epoch": 1.5285832642916322,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004935650401374039,
+      "loss": 6.0906,
+      "mean_token_accuracy": 0.14119647368788718,
+      "num_tokens": 3364314.0,
+      "step": 1845
+    },
+    {
+      "entropy": 6.046140813827515,
+      "epoch": 1.532725766362883,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004934889416493524,
+      "loss": 5.9157,
+      "mean_token_accuracy": 0.13524662256240844,
+      "num_tokens": 3373648.0,
+      "step": 1850
+    },
+    {
+      "entropy": 5.863892507553101,
+      "epoch": 1.5368682684341342,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004934124024452295,
+      "loss": 5.7869,
+      "mean_token_accuracy": 0.1471114367246628,
+      "num_tokens": 3382919.0,
+      "step": 1855
+    },
+    {
+      "entropy": 5.888700532913208,
+      "epoch": 1.5410107705053853,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004933354226794232,
+      "loss": 5.9383,
+      "mean_token_accuracy": 0.1432707317173481,
+      "num_tokens": 3391814.0,
+      "step": 1860
+    },
+    {
+      "entropy": 6.080925798416137,
+      "epoch": 1.5451532725766364,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004932580025072098,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.13580586463212968,
+      "num_tokens": 3400392.0,
+      "step": 1865
+    },
+    {
+      "entropy": 5.996384525299073,
+      "epoch": 1.5492957746478875,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004931801420847545,
+      "loss": 6.036,
+      "mean_token_accuracy": 0.13089759424328803,
+      "num_tokens": 3410430.0,
+      "step": 1870
+    },
+    {
+      "entropy": 5.932257795333863,
+      "epoch": 1.5534382767191384,
+      "grad_norm": 0.9609375,
+      "learning_rate": 0.0004931018415691102,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.13694921880960464,
+      "num_tokens": 3420654.0,
+      "step": 1875
+    },
+    {
+      "entropy": 5.951343011856079,
+      "epoch": 1.5575807787903893,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004930231011182176,
+      "loss": 5.9986,
+      "mean_token_accuracy": 0.13937177062034606,
+      "num_tokens": 3430514.0,
+      "step": 1880
+    },
+    {
+      "entropy": 6.071512508392334,
+      "epoch": 1.5617232808616404,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004929439208909048,
+      "loss": 5.9331,
+      "mean_token_accuracy": 0.1375361390411854,
+      "num_tokens": 3439551.0,
+      "step": 1885
+    },
+    {
+      "entropy": 5.902947330474854,
+      "epoch": 1.5658657829328915,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004928643010468869,
+      "loss": 5.8911,
+      "mean_token_accuracy": 0.13622887432575226,
+      "num_tokens": 3448160.0,
+      "step": 1890
+    },
+    {
+      "entropy": 5.993059539794922,
+      "epoch": 1.5700082850041426,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004927842417467659,
+      "loss": 5.9517,
+      "mean_token_accuracy": 0.14548188596963882,
+      "num_tokens": 3457296.0,
+      "step": 1895
+    },
+    {
+      "entropy": 6.027637386322022,
+      "epoch": 1.5741507870753937,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004927037431520302,
+      "loss": 5.9073,
+      "mean_token_accuracy": 0.14102519080042838,
+      "num_tokens": 3466108.0,
+      "step": 1900
+    },
+    {
+      "entropy": 5.975209665298462,
+      "epoch": 1.5782932891466446,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004926228054250541,
+      "loss": 5.9941,
+      "mean_token_accuracy": 0.14009249955415726,
+      "num_tokens": 3475336.0,
+      "step": 1905
+    },
+    {
+      "entropy": 6.073916673660278,
+      "epoch": 1.5824357912178955,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004925414287290979,
+      "loss": 5.9668,
+      "mean_token_accuracy": 0.13723743334412575,
+      "num_tokens": 3483963.0,
+      "step": 1910
+    },
+    {
+      "entropy": 5.848618030548096,
+      "epoch": 1.5865782932891466,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004924596132283075,
+      "loss": 5.8765,
+      "mean_token_accuracy": 0.14485997408628465,
+      "num_tokens": 3492947.0,
+      "step": 1915
+    },
+    {
+      "entropy": 5.966853284835816,
+      "epoch": 1.5907207953603977,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004923773590877135,
+      "loss": 5.9651,
+      "mean_token_accuracy": 0.13334692791104316,
+      "num_tokens": 3501877.0,
+      "step": 1920
+    },
+    {
+      "entropy": 6.042904996871949,
+      "epoch": 1.5948632974316488,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004922946664732314,
+      "loss": 6.0304,
+      "mean_token_accuracy": 0.13204361274838447,
+      "num_tokens": 3510610.0,
+      "step": 1925
+    },
+    {
+      "entropy": 6.0583656311035154,
+      "epoch": 1.5990057995029,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004922115355516615,
+      "loss": 5.9841,
+      "mean_token_accuracy": 0.13304307833313941,
+      "num_tokens": 3519829.0,
+      "step": 1930
+    },
+    {
+      "entropy": 6.015839862823486,
+      "epoch": 1.6031483015741508,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004921279664906877,
+      "loss": 5.9661,
+      "mean_token_accuracy": 0.13071200698614122,
+      "num_tokens": 3529408.0,
+      "step": 1935
+    },
+    {
+      "entropy": 5.924501991271972,
+      "epoch": 1.6072908036454017,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004920439594588781,
+      "loss": 5.8955,
+      "mean_token_accuracy": 0.14675913602113724,
+      "num_tokens": 3538068.0,
+      "step": 1940
+    },
+    {
+      "entropy": 6.051935148239136,
+      "epoch": 1.6114333057166528,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000491959514625684,
+      "loss": 6.0177,
+      "mean_token_accuracy": 0.13845598921179772,
+      "num_tokens": 3547302.0,
+      "step": 1945
+    },
+    {
+      "entropy": 5.956210565567017,
+      "epoch": 1.6155758077879039,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00049187463216144,
+      "loss": 5.9024,
+      "mean_token_accuracy": 0.145584287494421,
+      "num_tokens": 3556087.0,
+      "step": 1950
+    },
+    {
+      "entropy": 6.046857452392578,
+      "epoch": 1.619718309859155,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.000491789312237363,
+      "loss": 5.9857,
+      "mean_token_accuracy": 0.13579782098531723,
+      "num_tokens": 3566235.0,
+      "step": 1955
+    },
+    {
+      "entropy": 5.983897924423218,
+      "epoch": 1.623860811930406,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004917035550255528,
+      "loss": 5.899,
+      "mean_token_accuracy": 0.14092317298054696,
+      "num_tokens": 3574762.0,
+      "step": 1960
+    },
+    {
+      "entropy": 5.904513597488403,
+      "epoch": 1.628003314001657,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000491617360698991,
+      "loss": 5.8837,
+      "mean_token_accuracy": 0.139695380628109,
+      "num_tokens": 3583359.0,
+      "step": 1965
+    },
+    {
+      "entropy": 5.920687866210938,
+      "epoch": 1.6321458160729079,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004915307294315412,
+      "loss": 5.8505,
+      "mean_token_accuracy": 0.14011457338929176,
+      "num_tokens": 3591436.0,
+      "step": 1970
+    },
+    {
+      "entropy": 5.926318550109864,
+      "epoch": 1.636288318144159,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.000491443661397948,
+      "loss": 5.9355,
+      "mean_token_accuracy": 0.13468224480748175,
+      "num_tokens": 3601054.0,
+      "step": 1975
+    },
+    {
+      "entropy": 5.974443817138672,
+      "epoch": 1.64043082021541,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004913561567738368,
+      "loss": 5.9014,
+      "mean_token_accuracy": 0.1383673779666424,
+      "num_tokens": 3610641.0,
+      "step": 1980
+    },
+    {
+      "entropy": 5.912512636184692,
+      "epoch": 1.6445733222866612,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004912682157357146,
+      "loss": 5.8447,
+      "mean_token_accuracy": 0.13975749984383584,
+      "num_tokens": 3619351.0,
+      "step": 1985
+    },
+    {
+      "entropy": 5.853101539611816,
+      "epoch": 1.6487158243579123,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004911798384609675,
+      "loss": 5.8306,
+      "mean_token_accuracy": 0.1472959376871586,
+      "num_tokens": 3627341.0,
+      "step": 1990
+    },
+    {
+      "entropy": 5.942045879364014,
+      "epoch": 1.6528583264291632,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004910910251278626,
+      "loss": 5.8918,
+      "mean_token_accuracy": 0.14801610112190247,
+      "num_tokens": 3637132.0,
+      "step": 1995
+    },
+    {
+      "entropy": 5.919465351104736,
+      "epoch": 1.6570008285004143,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004910017759155458,
+      "loss": 5.9479,
+      "mean_token_accuracy": 0.1400071859359741,
+      "num_tokens": 3646196.0,
+      "step": 2000
+    },
+    {
+      "epoch": 1.6570008285004143,
+      "eval_entropy": 5.874394122979789,
+      "eval_loss": 6.1148576736450195,
+      "eval_mean_token_accuracy": 0.1363023624046525,
+      "eval_num_tokens": 3646196.0,
+      "eval_runtime": 2.7574,
+      "eval_samples_per_second": 1358.871,
+      "eval_steps_per_second": 170.085,
+      "step": 2000
+    },
+    {
+      "entropy": 5.967284250259399,
+      "epoch": 1.6611433305716652,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004909120910040427,
+      "loss": 5.8839,
+      "mean_token_accuracy": 0.1461731344461441,
+      "num_tokens": 3654658.0,
+      "step": 2005
+    },
+    {
+      "entropy": 6.045904684066772,
+      "epoch": 1.6652858326429163,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004908219705742574,
+      "loss": 6.1605,
+      "mean_token_accuracy": 0.13489469960331918,
+      "num_tokens": 3664509.0,
+      "step": 2010
+    },
+    {
+      "entropy": 6.002130031585693,
+      "epoch": 1.6694283347141674,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004907314148079727,
+      "loss": 5.8567,
+      "mean_token_accuracy": 0.1425239197909832,
+      "num_tokens": 3672983.0,
+      "step": 2015
+    },
+    {
+      "entropy": 5.708412790298462,
+      "epoch": 1.6735708367854185,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004906404238878496,
+      "loss": 5.7221,
+      "mean_token_accuracy": 0.14639501571655272,
+      "num_tokens": 3681196.0,
+      "step": 2020
+    },
+    {
+      "entropy": 5.97982873916626,
+      "epoch": 1.6777133388566694,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004905489979974265,
+      "loss": 5.9098,
+      "mean_token_accuracy": 0.14081615954637527,
+      "num_tokens": 3690077.0,
+      "step": 2025
+    },
+    {
+      "entropy": 5.942774772644043,
+      "epoch": 1.6818558409279205,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004904571373211197,
+      "loss": 5.9906,
+      "mean_token_accuracy": 0.13563016131520272,
+      "num_tokens": 3700121.0,
+      "step": 2030
+    },
+    {
+      "entropy": 5.897730588912964,
+      "epoch": 1.6859983429991714,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000490364842044222,
+      "loss": 5.8074,
+      "mean_token_accuracy": 0.14530285224318504,
+      "num_tokens": 3709618.0,
+      "step": 2035
+    },
+    {
+      "entropy": 5.954602289199829,
+      "epoch": 1.6901408450704225,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004902721123529031,
+      "loss": 5.9869,
+      "mean_token_accuracy": 0.12953415215015412,
+      "num_tokens": 3719570.0,
+      "step": 2040
+    },
+    {
+      "entropy": 6.074023342132568,
+      "epoch": 1.6942833471416736,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000490178948434209,
+      "loss": 5.9267,
+      "mean_token_accuracy": 0.14249598532915114,
+      "num_tokens": 3729354.0,
+      "step": 2045
+    },
+    {
+      "entropy": 5.833365964889526,
+      "epoch": 1.6984258492129247,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004900853504760614,
+      "loss": 5.8409,
+      "mean_token_accuracy": 0.14450331926345825,
+      "num_tokens": 3738453.0,
+      "step": 2050
+    },
+    {
+      "entropy": 5.888468265533447,
+      "epoch": 1.7025683512841756,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004899913186672577,
+      "loss": 5.8165,
+      "mean_token_accuracy": 0.14293194860219954,
+      "num_tokens": 3747815.0,
+      "step": 2055
+    },
+    {
+      "entropy": 5.914711236953735,
+      "epoch": 1.7067108533554267,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004898968531974702,
+      "loss": 5.9249,
+      "mean_token_accuracy": 0.14642315953969956,
+      "num_tokens": 3757298.0,
+      "step": 2060
+    },
+    {
+      "entropy": 5.978992033004761,
+      "epoch": 1.7108533554266776,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004898019542572462,
+      "loss": 5.9124,
+      "mean_token_accuracy": 0.14719650894403458,
+      "num_tokens": 3765939.0,
+      "step": 2065
+    },
+    {
+      "entropy": 6.005469894409179,
+      "epoch": 1.7149958574979287,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004897066220380073,
+      "loss": 5.933,
+      "mean_token_accuracy": 0.13779435828328132,
+      "num_tokens": 3775160.0,
+      "step": 2070
+    },
+    {
+      "entropy": 5.921374797821045,
+      "epoch": 1.7191383595691798,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004896108567320489,
+      "loss": 5.831,
+      "mean_token_accuracy": 0.14186858981847764,
+      "num_tokens": 3785181.0,
+      "step": 2075
+    },
+    {
+      "entropy": 5.972924375534058,
+      "epoch": 1.723280861640431,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048951465853254,
+      "loss": 5.9444,
+      "mean_token_accuracy": 0.14323145076632499,
+      "num_tokens": 3794531.0,
+      "step": 2080
+    },
+    {
+      "entropy": 5.953138160705566,
+      "epoch": 1.7274233637116818,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004894180276335231,
+      "loss": 5.934,
+      "mean_token_accuracy": 0.1396125227212906,
+      "num_tokens": 3804602.0,
+      "step": 2085
+    },
+    {
+      "entropy": 5.9721667766571045,
+      "epoch": 1.731565865782933,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004893209642299132,
+      "loss": 5.97,
+      "mean_token_accuracy": 0.1395590640604496,
+      "num_tokens": 3813394.0,
+      "step": 2090
+    },
+    {
+      "entropy": 5.97849326133728,
+      "epoch": 1.7357083678541838,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004892234685174976,
+      "loss": 5.962,
+      "mean_token_accuracy": 0.13808128908276557,
+      "num_tokens": 3821604.0,
+      "step": 2095
+    },
+    {
+      "entropy": 5.967495775222778,
+      "epoch": 1.739850869925435,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004891255406929359,
+      "loss": 5.9564,
+      "mean_token_accuracy": 0.13652343899011612,
+      "num_tokens": 3831977.0,
+      "step": 2100
+    },
+    {
+      "entropy": 5.98737063407898,
+      "epoch": 1.743993371996686,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004890271809537595,
+      "loss": 5.9017,
+      "mean_token_accuracy": 0.1393343411386013,
+      "num_tokens": 3840684.0,
+      "step": 2105
+    },
+    {
+      "entropy": 5.870862340927124,
+      "epoch": 1.7481358740679371,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004889283894983704,
+      "loss": 5.8147,
+      "mean_token_accuracy": 0.1389534741640091,
+      "num_tokens": 3851147.0,
+      "step": 2110
+    },
+    {
+      "entropy": 6.002704238891601,
+      "epoch": 1.752278376139188,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000488829166526042,
+      "loss": 5.9838,
+      "mean_token_accuracy": 0.13991605415940284,
+      "num_tokens": 3859881.0,
+      "step": 2115
+    },
+    {
+      "entropy": 5.948231506347656,
+      "epoch": 1.7564208782104391,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004887295122369176,
+      "loss": 6.0107,
+      "mean_token_accuracy": 0.13371825441718102,
+      "num_tokens": 3870151.0,
+      "step": 2120
+    },
+    {
+      "entropy": 5.99525203704834,
+      "epoch": 1.76056338028169,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.000488629426832011,
+      "loss": 5.9313,
+      "mean_token_accuracy": 0.13850879445672035,
+      "num_tokens": 3878398.0,
+      "step": 2125
+    },
+    {
+      "entropy": 5.924004030227661,
+      "epoch": 1.7647058823529411,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004885289105132054,
+      "loss": 5.8893,
+      "mean_token_accuracy": 0.14114601090550422,
+      "num_tokens": 3888007.0,
+      "step": 2130
+    },
+    {
+      "entropy": 5.930246257781983,
+      "epoch": 1.7688483844241922,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004884279634832532,
+      "loss": 5.8728,
+      "mean_token_accuracy": 0.14278061985969542,
+      "num_tokens": 3896945.0,
+      "step": 2135
+    },
+    {
+      "entropy": 5.940092372894287,
+      "epoch": 1.7729908864954433,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004883265859457754,
+      "loss": 5.8905,
+      "mean_token_accuracy": 0.1457919418811798,
+      "num_tokens": 3906049.0,
+      "step": 2140
+    },
+    {
+      "entropy": 5.866062164306641,
+      "epoch": 1.7771333885666944,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048822477810526186,
+      "loss": 5.8422,
+      "mean_token_accuracy": 0.1388966679573059,
+      "num_tokens": 3915050.0,
+      "step": 2145
+    },
+    {
+      "entropy": 5.966696119308471,
+      "epoch": 1.7812758906379453,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00048812254016706994,
+      "loss": 5.9205,
+      "mean_token_accuracy": 0.14728582575917243,
+      "num_tokens": 3924031.0,
+      "step": 2150
+    },
+    {
+      "entropy": 5.915832757949829,
+      "epoch": 1.7854183927091962,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004880198723374247,
+      "loss": 5.9776,
+      "mean_token_accuracy": 0.14149753525853156,
+      "num_tokens": 3933756.0,
+      "step": 2155
+    },
+    {
+      "entropy": 5.959774684906006,
+      "epoch": 1.7895608947804473,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048791677482341845,
+      "loss": 5.9592,
+      "mean_token_accuracy": 0.13750381171703338,
+      "num_tokens": 3943129.0,
+      "step": 2160
+    },
+    {
+      "entropy": 5.881538438796997,
+      "epoch": 1.7937033968516984,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048781324783301016,
+      "loss": 5.7912,
+      "mean_token_accuracy": 0.14508036673069,
+      "num_tokens": 3951494.0,
+      "step": 2165
+    },
+    {
+      "entropy": 5.946735525131226,
+      "epoch": 1.7978458989229495,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048770929157502505,
+      "loss": 5.9565,
+      "mean_token_accuracy": 0.143115097284317,
+      "num_tokens": 3960588.0,
+      "step": 2170
+    },
+    {
+      "entropy": 5.9805809497833256,
+      "epoch": 1.8019884009942007,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004876049062591543,
+      "loss": 5.9226,
+      "mean_token_accuracy": 0.13506680428981782,
+      "num_tokens": 3970135.0,
+      "step": 2175
+    },
+    {
+      "entropy": 5.950060653686523,
+      "epoch": 1.8061309030654515,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048750009209595443,
+      "loss": 5.9042,
+      "mean_token_accuracy": 0.13944360390305519,
+      "num_tokens": 3979569.0,
+      "step": 2180
+    },
+    {
+      "entropy": 5.88271656036377,
+      "epoch": 1.8102734051367024,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048739484929684714,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.144245932251215,
+      "num_tokens": 3987885.0,
+      "step": 2185
+    },
+    {
+      "entropy": 5.933677864074707,
+      "epoch": 1.8144159072079535,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048728917807411856,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.13125594183802605,
+      "num_tokens": 3997726.0,
+      "step": 2190
+    },
+    {
+      "entropy": 6.008653068542481,
+      "epoch": 1.8185584092792046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004871830786409191,
+      "loss": 5.8436,
+      "mean_token_accuracy": 0.14898036047816277,
+      "num_tokens": 4006437.0,
+      "step": 2195
+    },
+    {
+      "entropy": 5.856683444976807,
+      "epoch": 1.8227009113504558,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00048707655121126296,
+      "loss": 5.8124,
+      "mean_token_accuracy": 0.14927435666322708,
+      "num_tokens": 4015326.0,
+      "step": 2200
+    },
+    {
+      "entropy": 5.924995994567871,
+      "epoch": 1.8268434134217069,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048696959600002767,
+      "loss": 5.8722,
+      "mean_token_accuracy": 0.14032577201724053,
+      "num_tokens": 4024294.0,
+      "step": 2205
+    },
+    {
+      "entropy": 5.881852293014527,
+      "epoch": 1.8309859154929577,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048686221322295347,
+      "loss": 5.9028,
+      "mean_token_accuracy": 0.14340249821543694,
+      "num_tokens": 4033341.0,
+      "step": 2210
+    },
+    {
+      "entropy": 5.951443433761597,
+      "epoch": 1.8351284175642086,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048675440309664314,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.1474481076002121,
+      "num_tokens": 4042446.0,
+      "step": 2215
+    },
+    {
+      "entropy": 5.832607173919678,
+      "epoch": 1.8392709196354597,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00048664616583856166,
+      "loss": 5.8924,
+      "mean_token_accuracy": 0.13868724405765534,
+      "num_tokens": 4051849.0,
+      "step": 2220
+    },
+    {
+      "entropy": 6.026660823822022,
+      "epoch": 1.8434134217067109,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00048653750166703516,
+      "loss": 5.9855,
+      "mean_token_accuracy": 0.1381051518023014,
+      "num_tokens": 4061075.0,
+      "step": 2225
+    },
+    {
+      "entropy": 5.976817560195923,
+      "epoch": 1.847555923777962,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004864284108012513,
+      "loss": 5.9524,
+      "mean_token_accuracy": 0.13498588278889656,
+      "num_tokens": 4071022.0,
+      "step": 2230
+    },
+    {
+      "entropy": 5.884273719787598,
+      "epoch": 1.851698425849213,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004863188934612583,
+      "loss": 5.854,
+      "mean_token_accuracy": 0.1435965158045292,
+      "num_tokens": 4080728.0,
+      "step": 2235
+    },
+    {
+      "entropy": 5.8848789691925045,
+      "epoch": 1.855840927920464,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004862089498679645,
+      "loss": 5.8121,
+      "mean_token_accuracy": 0.15146355628967284,
+      "num_tokens": 4088712.0,
+      "step": 2240
+    },
+    {
+      "entropy": 5.904728364944458,
+      "epoch": 1.8599834299917148,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004860985802431383,
+      "loss": 5.8445,
+      "mean_token_accuracy": 0.14107747822999955,
+      "num_tokens": 4097488.0,
+      "step": 2245
+    },
+    {
+      "entropy": 5.815548610687256,
+      "epoch": 1.864125932062966,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004859877848094071,
+      "loss": 5.8328,
+      "mean_token_accuracy": 0.14647450745105745,
+      "num_tokens": 4106485.0,
+      "step": 2250
+    },
+    {
+      "entropy": 5.969652986526489,
+      "epoch": 1.868268434134217,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004858765637902575,
+      "loss": 5.8016,
+      "mean_token_accuracy": 0.14588006138801574,
+      "num_tokens": 4115806.0,
+      "step": 2255
+    },
+    {
+      "entropy": 5.982199335098267,
+      "epoch": 1.8724109362054682,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004857649174100344,
+      "loss": 5.9353,
+      "mean_token_accuracy": 0.14478921219706536,
+      "num_tokens": 4124636.0,
+      "step": 2260
+    },
+    {
+      "entropy": 5.869907474517822,
+      "epoch": 1.8765534382767193,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.0004856528458939409,
+      "loss": 5.8948,
+      "mean_token_accuracy": 0.13403457626700402,
+      "num_tokens": 4133876.0,
+      "step": 2265
+    },
+    {
+      "entropy": 5.836872100830078,
+      "epoch": 1.8806959403479702,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004855403494680373,
+      "loss": 5.8159,
+      "mean_token_accuracy": 0.14096100330352784,
+      "num_tokens": 4143555.0,
+      "step": 2270
+    },
+    {
+      "entropy": 5.871636962890625,
+      "epoch": 1.884838442419221,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00048542742835924133,
+      "loss": 5.7773,
+      "mean_token_accuracy": 0.14253296032547952,
+      "num_tokens": 4153007.0,
+      "step": 2275
+    },
+    {
+      "entropy": 5.766701364517212,
+      "epoch": 1.8889809444904722,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048531408279532705,
+      "loss": 5.8171,
+      "mean_token_accuracy": 0.14552054405212403,
+      "num_tokens": 4162107.0,
+      "step": 2280
+    },
+    {
+      "entropy": 5.884533357620239,
+      "epoch": 1.8931234465617233,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048520031300492507,
+      "loss": 5.8208,
+      "mean_token_accuracy": 0.14203491136431695,
+      "num_tokens": 4170920.0,
+      "step": 2285
+    },
+    {
+      "entropy": 5.9367118835449215,
+      "epoch": 1.8972659486329744,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048508611921752124,
+      "loss": 5.8366,
+      "mean_token_accuracy": 0.14547978863120078,
+      "num_tokens": 4180226.0,
+      "step": 2290
+    },
+    {
+      "entropy": 5.804201984405518,
+      "epoch": 1.9014084507042255,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00048497150166345703,
+      "loss": 5.7799,
+      "mean_token_accuracy": 0.14307984560728074,
+      "num_tokens": 4189283.0,
+      "step": 2295
+    },
+    {
+      "entropy": 5.833661937713623,
+      "epoch": 1.9055509527754764,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004848564605739287,
+      "loss": 5.8181,
+      "mean_token_accuracy": 0.14286661818623542,
+      "num_tokens": 4199017.0,
+      "step": 2300
+    },
+    {
+      "entropy": 5.985245418548584,
+      "epoch": 1.9096934548467275,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048474099618098644,
+      "loss": 5.9557,
+      "mean_token_accuracy": 0.13776218444108962,
+      "num_tokens": 4207756.0,
+      "step": 2305
+    },
+    {
+      "entropy": 5.926583385467529,
+      "epoch": 1.9138359569179784,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004846251087175348,
+      "loss": 5.8467,
+      "mean_token_accuracy": 0.14270823299884797,
+      "num_tokens": 4216721.0,
+      "step": 2310
+    },
+    {
+      "entropy": 5.816466999053955,
+      "epoch": 1.9179784589892295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004845087984173312,
+      "loss": 5.8214,
+      "mean_token_accuracy": 0.14952016696333886,
+      "num_tokens": 4225596.0,
+      "step": 2315
+    },
+    {
+      "entropy": 5.975145244598389,
+      "epoch": 1.9221209610604806,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048439206551498644,
+      "loss": 5.8881,
+      "mean_token_accuracy": 0.14604572355747222,
+      "num_tokens": 4234500.0,
+      "step": 2320
+    },
+    {
+      "entropy": 5.83410792350769,
+      "epoch": 1.9262634631317317,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004842749102459635,
+      "loss": 5.8331,
+      "mean_token_accuracy": 0.14477182626724244,
+      "num_tokens": 4243240.0,
+      "step": 2325
+    },
+    {
+      "entropy": 5.799895906448365,
+      "epoch": 1.9304059652029826,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048415733284657727,
+      "loss": 5.8249,
+      "mean_token_accuracy": 0.14724751114845275,
+      "num_tokens": 4251892.0,
+      "step": 2330
+    },
+    {
+      "entropy": 5.914888668060303,
+      "epoch": 1.9345484672742337,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004840393335539943,
+      "loss": 5.784,
+      "mean_token_accuracy": 0.14537777602672577,
+      "num_tokens": 4261447.0,
+      "step": 2335
+    },
+    {
+      "entropy": 5.93565788269043,
+      "epoch": 1.9386909693454846,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048392091260623195,
+      "loss": 5.9202,
+      "mean_token_accuracy": 0.1471864774823189,
+      "num_tokens": 4270120.0,
+      "step": 2340
+    },
+    {
+      "entropy": 5.905978488922119,
+      "epoch": 1.9428334714167357,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048380207024215836,
+      "loss": 5.7991,
+      "mean_token_accuracy": 0.1482786476612091,
+      "num_tokens": 4278300.0,
+      "step": 2345
+    },
+    {
+      "entropy": 5.905145263671875,
+      "epoch": 1.9469759734879868,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00048368280670149145,
+      "loss": 5.8487,
+      "mean_token_accuracy": 0.1461447760462761,
+      "num_tokens": 4286454.0,
+      "step": 2350
+    },
+    {
+      "entropy": 5.805000495910645,
+      "epoch": 1.951118475559238,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004835631222247989,
+      "loss": 5.7243,
+      "mean_token_accuracy": 0.15050614029169082,
+      "num_tokens": 4294752.0,
+      "step": 2355
+    },
+    {
+      "entropy": 5.907592630386352,
+      "epoch": 1.9552609776304888,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00048344301705349735,
+      "loss": 5.7974,
+      "mean_token_accuracy": 0.14830030649900436,
+      "num_tokens": 4303195.0,
+      "step": 2360
+    },
+    {
+      "entropy": 5.841587924957276,
+      "epoch": 1.95940347970174,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048332249142985195,
+      "loss": 5.9211,
+      "mean_token_accuracy": 0.1373597078025341,
+      "num_tokens": 4311961.0,
+      "step": 2365
+    },
+    {
+      "entropy": 5.900353670120239,
+      "epoch": 1.9635459817729908,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004832015455969763,
+      "loss": 5.7748,
+      "mean_token_accuracy": 0.13879901468753814,
+      "num_tokens": 4322267.0,
+      "step": 2370
+    },
+    {
+      "entropy": 5.774641275405884,
+      "epoch": 1.9676884838442419,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048308017979883114,
+      "loss": 5.8838,
+      "mean_token_accuracy": 0.1426581546664238,
+      "num_tokens": 4330584.0,
+      "step": 2375
+    },
+    {
+      "entropy": 5.840176010131836,
+      "epoch": 1.971830985915493,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048295839428022454,
+      "loss": 5.7215,
+      "mean_token_accuracy": 0.14949245899915695,
+      "num_tokens": 4339215.0,
+      "step": 2380
+    },
+    {
+      "entropy": 5.869688034057617,
+      "epoch": 1.975973487986744,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00048283618928681127,
+      "loss": 5.7418,
+      "mean_token_accuracy": 0.1501791574060917,
+      "num_tokens": 4347711.0,
+      "step": 2385
+    },
+    {
+      "entropy": 5.764533996582031,
+      "epoch": 1.980115990057995,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004827135650650923,
+      "loss": 5.7445,
+      "mean_token_accuracy": 0.14758301600813867,
+      "num_tokens": 4356982.0,
+      "step": 2390
+    },
+    {
+      "entropy": 5.770398235321045,
+      "epoch": 1.984258492129246,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004825905218624139,
+      "loss": 5.7696,
+      "mean_token_accuracy": 0.14773683473467827,
+      "num_tokens": 4365378.0,
+      "step": 2395
+    },
+    {
+      "entropy": 5.9908288478851315,
+      "epoch": 1.988400994200497,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048246705992696756,
+      "loss": 5.8174,
+      "mean_token_accuracy": 0.14142358154058457,
+      "num_tokens": 4374007.0,
+      "step": 2400
+    },
+    {
+      "entropy": 5.9741987705230715,
+      "epoch": 1.992543496271748,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048234317950778975,
+      "loss": 5.9346,
+      "mean_token_accuracy": 0.1409923940896988,
+      "num_tokens": 4383909.0,
+      "step": 2405
+    },
+    {
+      "entropy": 5.967488718032837,
+      "epoch": 1.9966859983429992,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004822188808547607,
+      "loss": 5.9967,
+      "mean_token_accuracy": 0.13560240790247918,
+      "num_tokens": 4393145.0,
+      "step": 2410
+    },
+    {
+      "entropy": 5.751282596588135,
+      "epoch": 2.0008285004142503,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004820941642186043,
+      "loss": 5.7146,
+      "mean_token_accuracy": 0.14043126851320267,
+      "num_tokens": 4402024.0,
+      "step": 2415
+    },
+    {
+      "entropy": 5.91456356048584,
+      "epoch": 2.0049710024855014,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004819690298508879,
+      "loss": 5.5395,
+      "mean_token_accuracy": 0.1603303700685501,
+      "num_tokens": 4411377.0,
+      "step": 2420
+    },
+    {
+      "entropy": 5.758482313156128,
+      "epoch": 2.009113504556752,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048184347800402083,
+      "loss": 5.4299,
+      "mean_token_accuracy": 0.16564757078886033,
+      "num_tokens": 4419781.0,
+      "step": 2425
+    },
+    {
+      "entropy": 5.727555131912231,
+      "epoch": 2.013256006628003,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004817175089312551,
+      "loss": 5.4154,
+      "mean_token_accuracy": 0.16400155574083328,
+      "num_tokens": 4428427.0,
+      "step": 2430
+    },
+    {
+      "entropy": 5.749885892868042,
+      "epoch": 2.0173985086992543,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048159112288668403,
+      "loss": 5.4586,
+      "mean_token_accuracy": 0.15933601409196854,
+      "num_tokens": 4438156.0,
+      "step": 2435
+    },
+    {
+      "entropy": 5.876013088226318,
+      "epoch": 2.0215410107705054,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00048146432012524215,
+      "loss": 5.4819,
+      "mean_token_accuracy": 0.16306492537260056,
+      "num_tokens": 4446342.0,
+      "step": 2440
+    },
+    {
+      "entropy": 5.738983201980591,
+      "epoch": 2.0256835128417565,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00048133710090270446,
+      "loss": 5.5229,
+      "mean_token_accuracy": 0.1542331963777542,
+      "num_tokens": 4455582.0,
+      "step": 2445
+    },
+    {
+      "entropy": 5.815389633178711,
+      "epoch": 2.0298260149130076,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048120946547568596,
+      "loss": 5.5375,
+      "mean_token_accuracy": 0.15604802072048188,
+      "num_tokens": 4464518.0,
+      "step": 2450
+    },
+    {
+      "entropy": 5.927202749252319,
+      "epoch": 2.0339685169842583,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00048108141410164133,
+      "loss": 5.6588,
+      "mean_token_accuracy": 0.14534952044486998,
+      "num_tokens": 4475031.0,
+      "step": 2455
+    },
+    {
+      "entropy": 5.8722837448120115,
+      "epoch": 2.0381110190555094,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004809529470388642,
+      "loss": 5.5396,
+      "mean_token_accuracy": 0.1577153742313385,
+      "num_tokens": 4484609.0,
+      "step": 2460
+    },
+    {
+      "entropy": 5.787671709060669,
+      "epoch": 2.0422535211267605,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004808240645464866,
+      "loss": 5.5698,
+      "mean_token_accuracy": 0.15477177649736404,
+      "num_tokens": 4494238.0,
+      "step": 2465
+    },
+    {
+      "entropy": 5.684235668182373,
+      "epoch": 2.0463960231980116,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004806947668844787,
+      "loss": 5.4573,
+      "mean_token_accuracy": 0.16172746568918228,
+      "num_tokens": 4503258.0,
+      "step": 2470
+    },
+    {
+      "entropy": 5.786364412307739,
+      "epoch": 2.0505385252692627,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048056505431364794,
+      "loss": 5.5091,
+      "mean_token_accuracy": 0.15975141078233718,
+      "num_tokens": 4512071.0,
+      "step": 2475
+    },
+    {
+      "entropy": 5.736668491363526,
+      "epoch": 2.054681027340514,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00048043492709563877,
+      "loss": 5.3461,
+      "mean_token_accuracy": 0.17059434503316878,
+      "num_tokens": 4520219.0,
+      "step": 2480
+    },
+    {
+      "entropy": 5.672813034057617,
+      "epoch": 2.0588235294117645,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048030438549293193,
+      "loss": 5.5568,
+      "mean_token_accuracy": 0.15284566581249237,
+      "num_tokens": 4529386.0,
+      "step": 2485
+    },
+    {
+      "entropy": 5.830966377258301,
+      "epoch": 2.0629660314830156,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00048017342976884424,
+      "loss": 5.5638,
+      "mean_token_accuracy": 0.15199215039610864,
+      "num_tokens": 4538860.0,
+      "step": 2490
+    },
+    {
+      "entropy": 5.761076402664185,
+      "epoch": 2.0671085335542667,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048004206018752773,
+      "loss": 5.5299,
+      "mean_token_accuracy": 0.15335657596588134,
+      "num_tokens": 4547842.0,
+      "step": 2495
+    },
+    {
+      "entropy": 5.733208799362183,
+      "epoch": 2.071251035625518,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047991027701396895,
+      "loss": 5.5026,
+      "mean_token_accuracy": 0.15411428660154342,
+      "num_tokens": 4556238.0,
+      "step": 2500
+    },
+    {
+      "epoch": 2.071251035625518,
+      "eval_entropy": 5.642364594473768,
+      "eval_loss": 6.032641410827637,
+      "eval_mean_token_accuracy": 0.1416530203399882,
+      "eval_num_tokens": 4556238.0,
+      "eval_runtime": 2.7817,
+      "eval_samples_per_second": 1347.034,
+      "eval_steps_per_second": 168.604,
+      "step": 2500
+    },
+    {
+      "entropy": 5.732073068618774,
+      "epoch": 2.075393537696769,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004797780805139892,
+      "loss": 5.5069,
+      "mean_token_accuracy": 0.1587075412273407,
+      "num_tokens": 4565684.0,
+      "step": 2505
+    },
+    {
+      "entropy": 5.722462224960327,
+      "epoch": 2.07953603976802,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004796454709542432,
+      "loss": 5.467,
+      "mean_token_accuracy": 0.1590041533112526,
+      "num_tokens": 4575001.0,
+      "step": 2510
+    },
+    {
+      "entropy": 5.797696113586426,
+      "epoch": 2.083678541839271,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004795124486022189,
+      "loss": 5.5732,
+      "mean_token_accuracy": 0.15362634360790253,
+      "num_tokens": 4584128.0,
+      "step": 2515
+    },
+    {
+      "entropy": 5.711380529403686,
+      "epoch": 2.087821043910522,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047937901372623694,
+      "loss": 5.4191,
+      "mean_token_accuracy": 0.16894411891698838,
+      "num_tokens": 4593011.0,
+      "step": 2520
+    },
+    {
+      "entropy": 5.688450145721435,
+      "epoch": 2.091963545981773,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00047924516659545005,
+      "loss": 5.4668,
+      "mean_token_accuracy": 0.16164053976535797,
+      "num_tokens": 4602676.0,
+      "step": 2525
+    },
+    {
+      "entropy": 5.79151463508606,
+      "epoch": 2.096106048053024,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004791109074798425,
+      "loss": 5.5522,
+      "mean_token_accuracy": 0.15433578938245773,
+      "num_tokens": 4611915.0,
+      "step": 2530
+    },
+    {
+      "entropy": 5.748647403717041,
+      "epoch": 2.100248550124275,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004789762366502296,
+      "loss": 5.5184,
+      "mean_token_accuracy": 0.15959300100803375,
+      "num_tokens": 4621396.0,
+      "step": 2535
+    },
+    {
+      "entropy": 5.7374598503112795,
+      "epoch": 2.1043910521955262,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004788411543782571,
+      "loss": 5.5201,
+      "mean_token_accuracy": 0.1591552659869194,
+      "num_tokens": 4630533.0,
+      "step": 2540
+    },
+    {
+      "entropy": 5.678498649597168,
+      "epoch": 2.108533554266777,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004787056609364008,
+      "loss": 5.4599,
+      "mean_token_accuracy": 0.1542729303240776,
+      "num_tokens": 4639023.0,
+      "step": 2545
+    },
+    {
+      "entropy": 5.711474943161011,
+      "epoch": 2.112676056338028,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004785697565979657,
+      "loss": 5.4732,
+      "mean_token_accuracy": 0.15900285094976424,
+      "num_tokens": 4647975.0,
+      "step": 2550
+    },
+    {
+      "entropy": 5.72883243560791,
+      "epoch": 2.116818558409279,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004784334416370857,
+      "loss": 5.498,
+      "mean_token_accuracy": 0.15594277828931807,
+      "num_tokens": 4657555.0,
+      "step": 2555
+    },
+    {
+      "entropy": 5.745093822479248,
+      "epoch": 2.1209610604805302,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004782967163287231,
+      "loss": 5.4193,
+      "mean_token_accuracy": 0.16100153774023057,
+      "num_tokens": 4667228.0,
+      "step": 2560
+    },
+    {
+      "entropy": 5.716836738586426,
+      "epoch": 2.1251035625517813,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047815958094866756,
+      "loss": 5.4957,
+      "mean_token_accuracy": 0.1513967014849186,
+      "num_tokens": 4676723.0,
+      "step": 2565
+    },
+    {
+      "entropy": 5.7276163578033445,
+      "epoch": 2.1292460646230325,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004780220357735363,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.15479894131422042,
+      "num_tokens": 4686241.0,
+      "step": 2570
+    },
+    {
+      "entropy": 5.764811038970947,
+      "epoch": 2.1333885666942836,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047788408108077294,
+      "loss": 5.5404,
+      "mean_token_accuracy": 0.1561874568462372,
+      "num_tokens": 4695195.0,
+      "step": 2575
+    },
+    {
+      "entropy": 5.739376497268677,
+      "epoch": 2.1375310687655342,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004777457171486471,
+      "loss": 5.5871,
+      "mean_token_accuracy": 0.15551834553480148,
+      "num_tokens": 4704716.0,
+      "step": 2580
+    },
+    {
+      "entropy": 5.769967555999756,
+      "epoch": 2.1416735708367853,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004776069442562541,
+      "loss": 5.5562,
+      "mean_token_accuracy": 0.15339450240135194,
+      "num_tokens": 4713720.0,
+      "step": 2585
+    },
+    {
+      "entropy": 5.733342504501342,
+      "epoch": 2.1458160729080364,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004774677626835138,
+      "loss": 5.5366,
+      "mean_token_accuracy": 0.15301723331212996,
+      "num_tokens": 4722428.0,
+      "step": 2590
+    },
+    {
+      "entropy": 5.787648677825928,
+      "epoch": 2.1499585749792876,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00047732817271117084,
+      "loss": 5.5365,
+      "mean_token_accuracy": 0.15334974452853203,
+      "num_tokens": 4732395.0,
+      "step": 2595
+    },
+    {
+      "entropy": 5.773520803451538,
+      "epoch": 2.1541010770505387,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004771881746207934,
+      "loss": 5.5206,
+      "mean_token_accuracy": 0.15674114525318145,
+      "num_tokens": 4741071.0,
+      "step": 2600
+    },
+    {
+      "entropy": 5.607013797760009,
+      "epoch": 2.1582435791217898,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047704776869477285,
+      "loss": 5.5153,
+      "mean_token_accuracy": 0.15076877027750016,
+      "num_tokens": 4749876.0,
+      "step": 2605
+    },
+    {
+      "entropy": 5.784313154220581,
+      "epoch": 2.1623860811930404,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00047690695521632344,
+      "loss": 5.4669,
+      "mean_token_accuracy": 0.16002854704856873,
+      "num_tokens": 4758721.0,
+      "step": 2610
+    },
+    {
+      "entropy": 5.6919313907623295,
+      "epoch": 2.1665285832642915,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047676573446948114,
+      "loss": 5.4832,
+      "mean_token_accuracy": 0.15925751626491547,
+      "num_tokens": 4767162.0,
+      "step": 2615
+    },
+    {
+      "entropy": 5.71550760269165,
+      "epoch": 2.1706710853355426,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047662410673910376,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.1629578560590744,
+      "num_tokens": 4776397.0,
+      "step": 2620
+    },
+    {
+      "entropy": 5.665811157226562,
+      "epoch": 2.1748135874067938,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047648207231087,
+      "loss": 5.4579,
+      "mean_token_accuracy": 0.15894875824451446,
+      "num_tokens": 4784822.0,
+      "step": 2625
+    },
+    {
+      "entropy": 5.71003270149231,
+      "epoch": 2.178956089478045,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004763396314712786,
+      "loss": 5.5297,
+      "mean_token_accuracy": 0.15831661075353623,
+      "num_tokens": 4794272.0,
+      "step": 2630
+    },
+    {
+      "entropy": 5.64026665687561,
+      "epoch": 2.183098591549296,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004761967845076484,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.15510014593601226,
+      "num_tokens": 4804314.0,
+      "step": 2635
+    },
+    {
+      "entropy": 5.6847330093383786,
+      "epoch": 2.1872410936205466,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004760535317081174,
+      "loss": 5.4694,
+      "mean_token_accuracy": 0.15845878273248673,
+      "num_tokens": 4812685.0,
+      "step": 2640
+    },
+    {
+      "entropy": 5.715235567092895,
+      "epoch": 2.1913835956917977,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047590987336164207,
+      "loss": 5.5532,
+      "mean_token_accuracy": 0.1562129870057106,
+      "num_tokens": 4821761.0,
+      "step": 2645
+    },
+    {
+      "entropy": 5.741413831710815,
+      "epoch": 2.195526097763049,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00047576580975799705,
+      "loss": 5.5307,
+      "mean_token_accuracy": 0.1623195379972458,
+      "num_tokens": 4830515.0,
+      "step": 2650
+    },
+    {
+      "entropy": 5.782008934020996,
+      "epoch": 2.1996685998343,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004756213411877743,
+      "loss": 5.5059,
+      "mean_token_accuracy": 0.14879967421293258,
+      "num_tokens": 4840741.0,
+      "step": 2655
+    },
+    {
+      "entropy": 5.612497425079345,
+      "epoch": 2.203811101905551,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047547646794238277,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.16198884546756745,
+      "num_tokens": 4849571.0,
+      "step": 2660
+    },
+    {
+      "entropy": 5.689143991470337,
+      "epoch": 2.207953603976802,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047533119031404757,
+      "loss": 5.4138,
+      "mean_token_accuracy": 0.1696420982480049,
+      "num_tokens": 4857194.0,
+      "step": 2665
+    },
+    {
+      "entropy": 5.632621717453003,
+      "epoch": 2.212096106048053,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00047518550859580966,
+      "loss": 5.5074,
+      "mean_token_accuracy": 0.1592964008450508,
+      "num_tokens": 4865894.0,
+      "step": 2670
+    },
+    {
+      "entropy": 5.74289755821228,
+      "epoch": 2.216238608119304,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004750394230815249,
+      "loss": 5.5268,
+      "mean_token_accuracy": 0.15829544067382811,
+      "num_tokens": 4875131.0,
+      "step": 2675
+    },
+    {
+      "entropy": 5.670539522171021,
+      "epoch": 2.220381110190555,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047489293406586375,
+      "loss": 5.3777,
+      "mean_token_accuracy": 0.1620385766029358,
+      "num_tokens": 4884098.0,
+      "step": 2680
+    },
+    {
+      "entropy": 5.657269620895386,
+      "epoch": 2.224523612261806,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004747460418443106,
+      "loss": 5.4373,
+      "mean_token_accuracy": 0.15941016003489494,
+      "num_tokens": 4892963.0,
+      "step": 2685
+    },
+    {
+      "entropy": 5.690485191345215,
+      "epoch": 2.2286661143330573,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047459874671316305,
+      "loss": 5.4903,
+      "mean_token_accuracy": 0.15749651044607163,
+      "num_tokens": 4902097.0,
+      "step": 2690
+    },
+    {
+      "entropy": 5.608357000350952,
+      "epoch": 2.2328086164043084,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00047445104896953153,
+      "loss": 5.4015,
+      "mean_token_accuracy": 0.16532779037952422,
+      "num_tokens": 4910469.0,
+      "step": 2695
+    },
+    {
+      "entropy": 5.82715744972229,
+      "epoch": 2.236951118475559,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047430294891133846,
+      "loss": 5.6892,
+      "mean_token_accuracy": 0.1501491665840149,
+      "num_tokens": 4921024.0,
+      "step": 2700
+    },
+    {
+      "entropy": 5.749764776229858,
+      "epoch": 2.24109362054681,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004741544468373179,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15474629402160645,
+      "num_tokens": 4930297.0,
+      "step": 2705
+    },
+    {
+      "entropy": 5.687776947021485,
+      "epoch": 2.2452361226180613,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00047400554304701474,
+      "loss": 5.4692,
+      "mean_token_accuracy": 0.16049361675977708,
+      "num_tokens": 4938971.0,
+      "step": 2710
+    },
+    {
+      "entropy": 5.571053695678711,
+      "epoch": 2.2493786246893124,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047385623784078427,
+      "loss": 5.4899,
+      "mean_token_accuracy": 0.15803302526474,
+      "num_tokens": 4948531.0,
+      "step": 2715
+    },
+    {
+      "entropy": 5.787879133224488,
+      "epoch": 2.2535211267605635,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004737065315197913,
+      "loss": 5.5664,
+      "mean_token_accuracy": 0.1587745025753975,
+      "num_tokens": 4957430.0,
+      "step": 2720
+    },
+    {
+      "entropy": 5.720958280563354,
+      "epoch": 2.2576636288318146,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047355642438600987,
+      "loss": 5.5478,
+      "mean_token_accuracy": 0.16044806241989135,
+      "num_tokens": 4966681.0,
+      "step": 2725
+    },
+    {
+      "entropy": 5.638753175735474,
+      "epoch": 2.2618061309030653,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004734059167422225,
+      "loss": 5.4123,
+      "mean_token_accuracy": 0.1639780133962631,
+      "num_tokens": 4975327.0,
+      "step": 2730
+    },
+    {
+      "entropy": 5.634887552261352,
+      "epoch": 2.2659486329743164,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047325500889201956,
+      "loss": 5.4725,
+      "mean_token_accuracy": 0.16207436099648476,
+      "num_tokens": 4983741.0,
+      "step": 2735
+    },
+    {
+      "entropy": 5.673438644409179,
+      "epoch": 2.2700911350455675,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004731037011397986,
+      "loss": 5.5662,
+      "mean_token_accuracy": 0.15884149968624114,
+      "num_tokens": 4993171.0,
+      "step": 2740
+    },
+    {
+      "entropy": 5.752307653427124,
+      "epoch": 2.2742336371168186,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047295199379076403,
+      "loss": 5.6,
+      "mean_token_accuracy": 0.15322241187095642,
+      "num_tokens": 5002810.0,
+      "step": 2745
+    },
+    {
+      "entropy": 5.7073346138000485,
+      "epoch": 2.2783761391880697,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000472799887150926,
+      "loss": 5.4893,
+      "mean_token_accuracy": 0.15741414427757264,
+      "num_tokens": 5011875.0,
+      "step": 2750
+    },
+    {
+      "entropy": 5.679959297180176,
+      "epoch": 2.282518641259321,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004726473815271003,
+      "loss": 5.5349,
+      "mean_token_accuracy": 0.15855301022529603,
+      "num_tokens": 5020780.0,
+      "step": 2755
+    },
+    {
+      "entropy": 5.669374132156372,
+      "epoch": 2.286661143330572,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047249447722690747,
+      "loss": 5.4331,
+      "mean_token_accuracy": 0.16046710908412934,
+      "num_tokens": 5029896.0,
+      "step": 2760
+    },
+    {
+      "entropy": 5.652454280853272,
+      "epoch": 2.2908036454018226,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047234117455877215,
+      "loss": 5.4932,
+      "mean_token_accuracy": 0.1545606277883053,
+      "num_tokens": 5038956.0,
+      "step": 2765
+    },
+    {
+      "entropy": 5.639697694778443,
+      "epoch": 2.2949461474730737,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004721874738319225,
+      "loss": 5.4594,
+      "mean_token_accuracy": 0.17258906960487366,
+      "num_tokens": 5047005.0,
+      "step": 2770
+    },
+    {
+      "entropy": 5.655842065811157,
+      "epoch": 2.299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004720333753563898,
+      "loss": 5.5008,
+      "mean_token_accuracy": 0.15116662830114364,
+      "num_tokens": 5056475.0,
+      "step": 2775
+    },
+    {
+      "entropy": 5.704644584655762,
+      "epoch": 2.303231151615576,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00047187887944300747,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16439782381057738,
+      "num_tokens": 5064978.0,
+      "step": 2780
+    },
+    {
+      "entropy": 5.726413679122925,
+      "epoch": 2.307373653686827,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004717239864034107,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.15506226867437362,
+      "num_tokens": 5074235.0,
+      "step": 2785
+    },
+    {
+      "entropy": 5.662968683242798,
+      "epoch": 2.3115161557580777,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047156869655003554,
+      "loss": 5.4481,
+      "mean_token_accuracy": 0.16141191571950914,
+      "num_tokens": 5082386.0,
+      "step": 2790
+    },
+    {
+      "entropy": 5.631324100494385,
+      "epoch": 2.315658657829329,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047141301019611875,
+      "loss": 5.4164,
+      "mean_token_accuracy": 0.16636510640382768,
+      "num_tokens": 5090634.0,
+      "step": 2795
+    },
+    {
+      "entropy": 5.818879795074463,
+      "epoch": 2.31980115990058,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004712569276556967,
+      "loss": 5.5906,
+      "mean_token_accuracy": 0.14937217235565187,
+      "num_tokens": 5099003.0,
+      "step": 2800
+    },
+    {
+      "entropy": 5.617757177352905,
+      "epoch": 2.323943661971831,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00047110044924360484,
+      "loss": 5.6681,
+      "mean_token_accuracy": 0.1565680392086506,
+      "num_tokens": 5108631.0,
+      "step": 2805
+    },
+    {
+      "entropy": 5.732515859603882,
+      "epoch": 2.328086164043082,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00047094357527547725,
+      "loss": 5.4545,
+      "mean_token_accuracy": 0.15828853249549865,
+      "num_tokens": 5117309.0,
+      "step": 2810
+    },
+    {
+      "entropy": 5.686485624313354,
+      "epoch": 2.332228666114333,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004707863060677459,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.1627561032772064,
+      "num_tokens": 5126305.0,
+      "step": 2815
+    },
+    {
+      "entropy": 5.821760654449463,
+      "epoch": 2.3363711681855843,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00047062864193764,
+      "loss": 5.6022,
+      "mean_token_accuracy": 0.15580221712589265,
+      "num_tokens": 5135338.0,
+      "step": 2820
+    },
+    {
+      "entropy": 5.676449155807495,
+      "epoch": 2.340513670256835,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047047058320318525,
+      "loss": 5.5298,
+      "mean_token_accuracy": 0.16162888556718827,
+      "num_tokens": 5144518.0,
+      "step": 2825
+    },
+    {
+      "entropy": 5.702890157699585,
+      "epoch": 2.344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004703121301832034,
+      "loss": 5.6262,
+      "mean_token_accuracy": 0.15101130157709122,
+      "num_tokens": 5154102.0,
+      "step": 2830
+    },
+    {
+      "entropy": 5.7891247272491455,
+      "epoch": 2.348798674399337,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047015328319731153,
+      "loss": 5.5642,
+      "mean_token_accuracy": 0.15612353384494781,
+      "num_tokens": 5163719.0,
+      "step": 2835
+    },
+    {
+      "entropy": 5.677855682373047,
+      "epoch": 2.3529411764705883,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004699940425659215,
+      "loss": 5.5247,
+      "mean_token_accuracy": 0.15519936084747316,
+      "num_tokens": 5173192.0,
+      "step": 2840
+    },
+    {
+      "entropy": 5.622324132919312,
+      "epoch": 2.3570836785418394,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00046983440861023877,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.1663823500275612,
+      "num_tokens": 5182438.0,
+      "step": 2845
+    },
+    {
+      "entropy": 5.699106454849243,
+      "epoch": 2.36122618061309,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046967438165226275,
+      "loss": 5.6015,
+      "mean_token_accuracy": 0.15352728664875032,
+      "num_tokens": 5191595.0,
+      "step": 2850
+    },
+    {
+      "entropy": 5.659265756607056,
+      "epoch": 2.365368682684341,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004695139620147851,
+      "loss": 5.4682,
+      "mean_token_accuracy": 0.1643056571483612,
+      "num_tokens": 5200174.0,
+      "step": 2855
+    },
+    {
+      "entropy": 5.713242053985596,
+      "epoch": 2.3695111847555923,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046935315002138994,
+      "loss": 5.5804,
+      "mean_token_accuracy": 0.15417435318231582,
+      "num_tokens": 5210454.0,
+      "step": 2860
+    },
+    {
+      "entropy": 5.727554702758789,
+      "epoch": 2.3736536868268434,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004691919459964525,
+      "loss": 5.5019,
+      "mean_token_accuracy": 0.16056040227413176,
+      "num_tokens": 5219243.0,
+      "step": 2865
+    },
+    {
+      "entropy": 5.5862212657928465,
+      "epoch": 2.3777961888980945,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046903035026513894,
+      "loss": 5.4319,
+      "mean_token_accuracy": 0.1613735228776932,
+      "num_tokens": 5228656.0,
+      "step": 2870
+    },
+    {
+      "entropy": 5.587289905548095,
+      "epoch": 2.3819386909693456,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004688683631534056,
+      "loss": 5.4859,
+      "mean_token_accuracy": 0.156366066634655,
+      "num_tokens": 5237807.0,
+      "step": 2875
+    },
+    {
+      "entropy": 5.775411653518677,
+      "epoch": 2.3860811930405967,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004687059849879981,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.1609719067811966,
+      "num_tokens": 5247432.0,
+      "step": 2880
+    },
+    {
+      "entropy": 5.597807741165161,
+      "epoch": 2.3902236951118474,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00046854321609645093,
+      "loss": 5.4145,
+      "mean_token_accuracy": 0.16111126840114592,
+      "num_tokens": 5256680.0,
+      "step": 2885
+    },
+    {
+      "entropy": 5.6380726337432865,
+      "epoch": 2.3943661971830985,
+      "grad_norm": 2.15625,
+      "learning_rate": 0.00046838005680708677,
+      "loss": 5.5296,
+      "mean_token_accuracy": 0.14821895360946655,
+      "num_tokens": 5266793.0,
+      "step": 2890
+    },
+    {
+      "entropy": 5.710390281677246,
+      "epoch": 2.3985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046821650744901573,
+      "loss": 5.4452,
+      "mean_token_accuracy": 0.15857197493314742,
+      "num_tokens": 5275028.0,
+      "step": 2895
+    },
+    {
+      "entropy": 5.598506593704224,
+      "epoch": 2.4026512013256007,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004680525683521347,
+      "loss": 5.5226,
+      "mean_token_accuracy": 0.1566852644085884,
+      "num_tokens": 5284162.0,
+      "step": 2900
+    },
+    {
+      "entropy": 5.757242631912232,
+      "epoch": 2.406793703396852,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004678882398471269,
+      "loss": 5.5911,
+      "mean_token_accuracy": 0.15474308133125306,
+      "num_tokens": 5293263.0,
+      "step": 2905
+    },
+    {
+      "entropy": 5.654598569869995,
+      "epoch": 2.4109362054681025,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046772352226546066,
+      "loss": 5.477,
+      "mean_token_accuracy": 0.1666618600487709,
+      "num_tokens": 5301373.0,
+      "step": 2910
+    },
+    {
+      "entropy": 5.643638467788696,
+      "epoch": 2.4150787075393536,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004675584159393895,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.15203802064061164,
+      "num_tokens": 5311009.0,
+      "step": 2915
+    },
+    {
+      "entropy": 5.699149656295776,
+      "epoch": 2.4192212096106047,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046739292120195083,
+      "loss": 5.5245,
+      "mean_token_accuracy": 0.16085631400346756,
+      "num_tokens": 5320341.0,
+      "step": 2920
+    },
+    {
+      "entropy": 5.642888498306275,
+      "epoch": 2.423363711681856,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004672270383869657,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1610630214214325,
+      "num_tokens": 5329250.0,
+      "step": 2925
+    },
+    {
+      "entropy": 5.62935357093811,
+      "epoch": 2.427506213753107,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004670607678290379,
+      "loss": 5.4471,
+      "mean_token_accuracy": 0.16571807861328125,
+      "num_tokens": 5336515.0,
+      "step": 2930
+    },
+    {
+      "entropy": 5.655415058135986,
+      "epoch": 2.431648715824358,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004668941098635532,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.1595415398478508,
+      "num_tokens": 5346043.0,
+      "step": 2935
+    },
+    {
+      "entropy": 5.642036104202271,
+      "epoch": 2.435791217895609,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00046672706482667897,
+      "loss": 5.4925,
+      "mean_token_accuracy": 0.15832271426916122,
+      "num_tokens": 5355124.0,
+      "step": 2940
+    },
+    {
+      "entropy": 5.647988367080688,
+      "epoch": 2.43993371996686,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004665596330553633,
+      "loss": 5.5051,
+      "mean_token_accuracy": 0.1597411409020424,
+      "num_tokens": 5364556.0,
+      "step": 2945
+    },
+    {
+      "entropy": 5.67459397315979,
+      "epoch": 2.444076222038111,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046639181488733445,
+      "loss": 5.5316,
+      "mean_token_accuracy": 0.15941161364316941,
+      "num_tokens": 5373778.0,
+      "step": 2950
+    },
+    {
+      "entropy": 5.725692987442017,
+      "epoch": 2.448218724109362,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004662236106610999,
+      "loss": 5.5123,
+      "mean_token_accuracy": 0.15816445648670197,
+      "num_tokens": 5382633.0,
+      "step": 2955
+    },
+    {
+      "entropy": 5.5606146335601805,
+      "epoch": 2.452361226180613,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00046605502071594604,
+      "loss": 5.4163,
+      "mean_token_accuracy": 0.16387673169374467,
+      "num_tokens": 5391442.0,
+      "step": 2960
+    },
+    {
+      "entropy": 5.569208765029908,
+      "epoch": 2.4565037282518642,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004658860453919371,
+      "loss": 5.4388,
+      "mean_token_accuracy": 0.1621423229575157,
+      "num_tokens": 5400504.0,
+      "step": 2965
+    },
+    {
+      "entropy": 5.587312078475952,
+      "epoch": 2.460646230323115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004657166850299149,
+      "loss": 5.4448,
+      "mean_token_accuracy": 0.16361159086227417,
+      "num_tokens": 5408939.0,
+      "step": 2970
+    },
+    {
+      "entropy": 5.629118537902832,
+      "epoch": 2.464788732394366,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004655469399714978,
+      "loss": 5.4722,
+      "mean_token_accuracy": 0.1575179159641266,
+      "num_tokens": 5418934.0,
+      "step": 2975
+    },
+    {
+      "entropy": 5.572103595733642,
+      "epoch": 2.468931234465617,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004653768105590799,
+      "loss": 5.4955,
+      "mean_token_accuracy": 0.16008511185646057,
+      "num_tokens": 5427894.0,
+      "step": 2980
+    },
+    {
+      "entropy": 5.683330011367798,
+      "epoch": 2.4730737365368682,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046520629713583115,
+      "loss": 5.5003,
+      "mean_token_accuracy": 0.1613202139735222,
+      "num_tokens": 5436830.0,
+      "step": 2985
+    },
+    {
+      "entropy": 5.597742080688477,
+      "epoch": 2.4772162386081193,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046503540004569555,
+      "loss": 5.4814,
+      "mean_token_accuracy": 0.16423845291137695,
+      "num_tokens": 5445504.0,
+      "step": 2990
+    },
+    {
+      "entropy": 5.679887342453003,
+      "epoch": 2.4813587406793705,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046486411963339125,
+      "loss": 5.5405,
+      "mean_token_accuracy": 0.15501321628689765,
+      "num_tokens": 5455378.0,
+      "step": 2995
+    },
+    {
+      "entropy": 5.712473011016845,
+      "epoch": 2.4855012427506216,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046469245624440955,
+      "loss": 5.6107,
+      "mean_token_accuracy": 0.1589423656463623,
+      "num_tokens": 5465334.0,
+      "step": 3000
+    },
+    {
+      "epoch": 2.4855012427506216,
+      "eval_entropy": 5.590163738234465,
+      "eval_loss": 5.965892314910889,
+      "eval_mean_token_accuracy": 0.14734836894947329,
+      "eval_num_tokens": 5465334.0,
+      "eval_runtime": 2.7526,
+      "eval_samples_per_second": 1361.234,
+      "eval_steps_per_second": 170.381,
+      "step": 3000
+    },
+    {
+      "entropy": 5.751126146316528,
+      "epoch": 2.4896437448218722,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046452041022501423,
+      "loss": 5.5858,
+      "mean_token_accuracy": 0.15555662512779236,
+      "num_tokens": 5475701.0,
+      "step": 3005
+    },
+    {
+      "entropy": 5.699931526184082,
+      "epoch": 2.4937862468931233,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004643479819222411,
+      "loss": 5.4828,
+      "mean_token_accuracy": 0.16229774355888366,
+      "num_tokens": 5485244.0,
+      "step": 3010
+    },
+    {
+      "entropy": 5.596950387954712,
+      "epoch": 2.4979287489643744,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046417517168389664,
+      "loss": 5.4434,
+      "mean_token_accuracy": 0.1682340309023857,
+      "num_tokens": 5493587.0,
+      "step": 3015
+    },
+    {
+      "entropy": 5.6203169345855715,
+      "epoch": 2.5020712510356256,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004640019798585581,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.15738681554794312,
+      "num_tokens": 5503117.0,
+      "step": 3020
+    },
+    {
+      "entropy": 5.762682390213013,
+      "epoch": 2.5062137531068767,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046382840679557233,
+      "loss": 5.5352,
+      "mean_token_accuracy": 0.16024575680494307,
+      "num_tokens": 5512742.0,
+      "step": 3025
+    },
+    {
+      "entropy": 5.647499704360962,
+      "epoch": 2.5103562551781273,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00046365445284505516,
+      "loss": 5.4968,
+      "mean_token_accuracy": 0.16166605204343795,
+      "num_tokens": 5521862.0,
+      "step": 3030
+    },
+    {
+      "entropy": 5.597900772094727,
+      "epoch": 2.5144987572493784,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.0004634801183578907,
+      "loss": 5.488,
+      "mean_token_accuracy": 0.1608501434326172,
+      "num_tokens": 5531244.0,
+      "step": 3035
+    },
+    {
+      "entropy": 5.655751419067383,
+      "epoch": 2.5186412593206295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046330540368573063,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15176820158958435,
+      "num_tokens": 5540786.0,
+      "step": 3040
+    },
+    {
+      "entropy": 5.7291028022766115,
+      "epoch": 2.5227837613918807,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046313030918099365,
+      "loss": 5.5224,
+      "mean_token_accuracy": 0.1602902241051197,
+      "num_tokens": 5549961.0,
+      "step": 3045
+    },
+    {
+      "entropy": 5.620108366012573,
+      "epoch": 2.5269262634631318,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00046295483519686437,
+      "loss": 5.4591,
+      "mean_token_accuracy": 0.16417455673217773,
+      "num_tokens": 5558941.0,
+      "step": 3050
+    },
+    {
+      "entropy": 5.644694232940674,
+      "epoch": 2.531068765534383,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046277898208729306,
+      "loss": 5.4673,
+      "mean_token_accuracy": 0.16716189235448836,
+      "num_tokens": 5567630.0,
+      "step": 3055
+    },
+    {
+      "entropy": 5.586954879760742,
+      "epoch": 2.535211267605634,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004626027502069947,
+      "loss": 5.4301,
+      "mean_token_accuracy": 0.16521373838186265,
+      "num_tokens": 5576430.0,
+      "step": 3060
+    },
+    {
+      "entropy": 5.650178289413452,
+      "epoch": 2.539353769676885,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046242613991144814,
+      "loss": 5.5444,
+      "mean_token_accuracy": 0.1609214127063751,
+      "num_tokens": 5584785.0,
+      "step": 3065
+    },
+    {
+      "entropy": 5.585511493682861,
+      "epoch": 2.5434962717481358,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046224915155689586,
+      "loss": 5.478,
+      "mean_token_accuracy": 0.16044741719961167,
+      "num_tokens": 5594583.0,
+      "step": 3070
+    },
+    {
+      "entropy": 5.638197040557861,
+      "epoch": 2.547638773819387,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046207178550034244,
+      "loss": 5.4306,
+      "mean_token_accuracy": 0.1608849883079529,
+      "num_tokens": 5603498.0,
+      "step": 3075
+    },
+    {
+      "entropy": 5.7161966323852536,
+      "epoch": 2.551781275890638,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004618940420995547,
+      "loss": 5.5685,
+      "mean_token_accuracy": 0.15440558269619942,
+      "num_tokens": 5613101.0,
+      "step": 3080
+    },
+    {
+      "entropy": 5.665849494934082,
+      "epoch": 2.555923777961889,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004617159217130606,
+      "loss": 5.5409,
+      "mean_token_accuracy": 0.1569191187620163,
+      "num_tokens": 5621821.0,
+      "step": 3085
+    },
+    {
+      "entropy": 5.711861181259155,
+      "epoch": 2.5600662800331397,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004615374247001483,
+      "loss": 5.5738,
+      "mean_token_accuracy": 0.15701586306095122,
+      "num_tokens": 5631006.0,
+      "step": 3090
+    },
+    {
+      "entropy": 5.674423551559448,
+      "epoch": 2.564208782104391,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004613585514208659,
+      "loss": 5.5295,
+      "mean_token_accuracy": 0.15232180580496787,
+      "num_tokens": 5640159.0,
+      "step": 3095
+    },
+    {
+      "entropy": 5.592060613632202,
+      "epoch": 2.568351284175642,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046117930223602016,
+      "loss": 5.4003,
+      "mean_token_accuracy": 0.1694741129875183,
+      "num_tokens": 5648369.0,
+      "step": 3100
+    },
+    {
+      "entropy": 5.5982965469360355,
+      "epoch": 2.572493786246893,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004609996775071765,
+      "loss": 5.459,
+      "mean_token_accuracy": 0.1591326355934143,
+      "num_tokens": 5657669.0,
+      "step": 3105
+    },
+    {
+      "entropy": 5.56780686378479,
+      "epoch": 2.576636288318144,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004608196775966575,
+      "loss": 5.5319,
+      "mean_token_accuracy": 0.1610974356532097,
+      "num_tokens": 5666601.0,
+      "step": 3110
+    },
+    {
+      "entropy": 5.639773225784301,
+      "epoch": 2.5807787903893953,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046063930286754267,
+      "loss": 5.4465,
+      "mean_token_accuracy": 0.16618527621030807,
+      "num_tokens": 5675243.0,
+      "step": 3115
+    },
+    {
+      "entropy": 5.56855001449585,
+      "epoch": 2.5849212924606464,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00046045855368366756,
+      "loss": 5.466,
+      "mean_token_accuracy": 0.1630399063229561,
+      "num_tokens": 5683646.0,
+      "step": 3120
+    },
+    {
+      "entropy": 5.682586193084717,
+      "epoch": 2.5890637945318975,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.000460277430409623,
+      "loss": 5.5129,
+      "mean_token_accuracy": 0.17162407487630843,
+      "num_tokens": 5693069.0,
+      "step": 3125
+    },
+    {
+      "entropy": 5.587219524383545,
+      "epoch": 2.593206296603148,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046009593341075444,
+      "loss": 5.3754,
+      "mean_token_accuracy": 0.16499391198158264,
+      "num_tokens": 5701527.0,
+      "step": 3130
+    },
+    {
+      "entropy": 5.561956834793091,
+      "epoch": 2.5973487986743993,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004599140630531612,
+      "loss": 5.5403,
+      "mean_token_accuracy": 0.15682477951049806,
+      "num_tokens": 5710379.0,
+      "step": 3135
+    },
+    {
+      "entropy": 5.69692587852478,
+      "epoch": 2.6014913007456504,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004597318197036956,
+      "loss": 5.4524,
+      "mean_token_accuracy": 0.1643553927540779,
+      "num_tokens": 5719217.0,
+      "step": 3140
+    },
+    {
+      "entropy": 5.629226970672607,
+      "epoch": 2.6056338028169015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004595492037299624,
+      "loss": 5.5535,
+      "mean_token_accuracy": 0.16214104294776915,
+      "num_tokens": 5728331.0,
+      "step": 3145
+    },
+    {
+      "entropy": 5.608061027526856,
+      "epoch": 2.6097763048881526,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045936621550031806,
+      "loss": 5.5107,
+      "mean_token_accuracy": 0.16073764860630035,
+      "num_tokens": 5737696.0,
+      "step": 3150
+    },
+    {
+      "entropy": 5.731885099411011,
+      "epoch": 2.6139188069594033,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045918285538386973,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.16164542436599733,
+      "num_tokens": 5746191.0,
+      "step": 3155
+    },
+    {
+      "entropy": 5.703127813339234,
+      "epoch": 2.6180613090306544,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00045899912375047485,
+      "loss": 5.5619,
+      "mean_token_accuracy": 0.1629435494542122,
+      "num_tokens": 5754824.0,
+      "step": 3160
+    },
+    {
+      "entropy": 5.638229656219482,
+      "epoch": 2.6222038111019055,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045881502097074023,
+      "loss": 5.537,
+      "mean_token_accuracy": 0.1518124133348465,
+      "num_tokens": 5764863.0,
+      "step": 3165
+    },
+    {
+      "entropy": 5.614318180084228,
+      "epoch": 2.6263463131731566,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004586305474160212,
+      "loss": 5.5459,
+      "mean_token_accuracy": 0.15642993301153182,
+      "num_tokens": 5774273.0,
+      "step": 3170
+    },
+    {
+      "entropy": 5.666326427459717,
+      "epoch": 2.6304888152444077,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045844570345842116,
+      "loss": 5.5044,
+      "mean_token_accuracy": 0.16042826995253562,
+      "num_tokens": 5784085.0,
+      "step": 3175
+    },
+    {
+      "entropy": 5.659371709823608,
+      "epoch": 2.634631317315659,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004582604894707906,
+      "loss": 5.5336,
+      "mean_token_accuracy": 0.16884370446205138,
+      "num_tokens": 5793921.0,
+      "step": 3180
+    },
+    {
+      "entropy": 5.664378356933594,
+      "epoch": 2.63877381938691,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00045807490582672634,
+      "loss": 5.4972,
+      "mean_token_accuracy": 0.15294444859027861,
+      "num_tokens": 5803902.0,
+      "step": 3185
+    },
+    {
+      "entropy": 5.542481708526611,
+      "epoch": 2.6429163214581606,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00045788895290057083,
+      "loss": 5.4129,
+      "mean_token_accuracy": 0.16788192689418793,
+      "num_tokens": 5812089.0,
+      "step": 3190
+    },
+    {
+      "entropy": 5.6802209377288815,
+      "epoch": 2.6470588235294117,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00045770263106741137,
+      "loss": 5.5784,
+      "mean_token_accuracy": 0.1578851893544197,
+      "num_tokens": 5821072.0,
+      "step": 3195
+    },
+    {
+      "entropy": 5.628516340255738,
+      "epoch": 2.651201325600663,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004575159407030797,
+      "loss": 5.4029,
+      "mean_token_accuracy": 0.16388181746006011,
+      "num_tokens": 5829725.0,
+      "step": 3200
+    },
+    {
+      "entropy": 5.500157403945923,
+      "epoch": 2.655343827671914,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004573288821841505,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16496249735355378,
+      "num_tokens": 5838153.0,
+      "step": 3205
+    },
+    {
+      "entropy": 5.616616106033325,
+      "epoch": 2.659486329743165,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004571414558879413,
+      "loss": 5.4409,
+      "mean_token_accuracy": 0.15448423773050307,
+      "num_tokens": 5847270.0,
+      "step": 3210
+    },
+    {
+      "entropy": 5.6490891456604,
+      "epoch": 2.6636288318144157,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004569536621925114,
+      "loss": 5.5472,
+      "mean_token_accuracy": 0.15474478006362916,
+      "num_tokens": 5855954.0,
+      "step": 3215
+    },
+    {
+      "entropy": 5.634416961669922,
+      "epoch": 2.667771333885667,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004567655014766612,
+      "loss": 5.4529,
+      "mean_token_accuracy": 0.16163208782672883,
+      "num_tokens": 5864435.0,
+      "step": 3220
+    },
+    {
+      "entropy": 5.624909925460815,
+      "epoch": 2.671913835956918,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004565769741199314,
+      "loss": 5.5135,
+      "mean_token_accuracy": 0.1572384186089039,
+      "num_tokens": 5873964.0,
+      "step": 3225
+    },
+    {
+      "entropy": 5.727962255477905,
+      "epoch": 2.676056338028169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045638808050260237,
+      "loss": 5.4648,
+      "mean_token_accuracy": 0.16628578454256057,
+      "num_tokens": 5882738.0,
+      "step": 3230
+    },
+    {
+      "entropy": 5.587652635574341,
+      "epoch": 2.68019884009942,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00045619882100569317,
+      "loss": 5.5925,
+      "mean_token_accuracy": 0.15854242593050002,
+      "num_tokens": 5891749.0,
+      "step": 3235
+    },
+    {
+      "entropy": 5.627515649795532,
+      "epoch": 2.684341342170671,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004560091960109608,
+      "loss": 5.5372,
+      "mean_token_accuracy": 0.15811603218317033,
+      "num_tokens": 5900551.0,
+      "step": 3240
+    },
+    {
+      "entropy": 5.661735343933105,
+      "epoch": 2.6884838442419223,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004558192059008996,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.1517203629016876,
+      "num_tokens": 5909254.0,
+      "step": 3245
+    },
+    {
+      "entropy": 5.599635648727417,
+      "epoch": 2.692626346313173,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004556288510587406,
+      "loss": 5.4987,
+      "mean_token_accuracy": 0.15817683488130568,
+      "num_tokens": 5918357.0,
+      "step": 3250
+    },
+    {
+      "entropy": 5.662895679473877,
+      "epoch": 2.696768848384424,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00045543813186845004,
+      "loss": 5.5021,
+      "mean_token_accuracy": 0.15579704195261002,
+      "num_tokens": 5927742.0,
+      "step": 3255
+    },
+    {
+      "entropy": 5.627440690994263,
+      "epoch": 2.700911350455675,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004552470487147294,
+      "loss": 5.5823,
+      "mean_token_accuracy": 0.1556493915617466,
+      "num_tokens": 5937025.0,
+      "step": 3260
+    },
+    {
+      "entropy": 5.70678014755249,
+      "epoch": 2.7050538525269263,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045505560198301443,
+      "loss": 5.5615,
+      "mean_token_accuracy": 0.15135139375925064,
+      "num_tokens": 5946176.0,
+      "step": 3265
+    },
+    {
+      "entropy": 5.659924745559692,
+      "epoch": 2.7091963545981774,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045486379205947396,
+      "loss": 5.5233,
+      "mean_token_accuracy": 0.1584411159157753,
+      "num_tokens": 5955550.0,
+      "step": 3270
+    },
+    {
+      "entropy": 5.594695281982422,
+      "epoch": 2.713338856669428,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004546716193310098,
+      "loss": 5.4541,
+      "mean_token_accuracy": 0.1651945412158966,
+      "num_tokens": 5964467.0,
+      "step": 3275
+    },
+    {
+      "entropy": 5.605531787872314,
+      "epoch": 2.717481358740679,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000454479084185255,
+      "loss": 5.4855,
+      "mean_token_accuracy": 0.1514287754893303,
+      "num_tokens": 5973906.0,
+      "step": 3280
+    },
+    {
+      "entropy": 5.696796035766601,
+      "epoch": 2.7216238608119303,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004542861870105743,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.15694239139556884,
+      "num_tokens": 5983701.0,
+      "step": 3285
+    },
+    {
+      "entropy": 5.623150444030761,
+      "epoch": 2.7257663628831814,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045409292819606224,
+      "loss": 5.4971,
+      "mean_token_accuracy": 0.16068210303783417,
+      "num_tokens": 5993367.0,
+      "step": 3290
+    },
+    {
+      "entropy": 5.646857404708863,
+      "epoch": 2.7299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045389930813154297,
+      "loss": 5.4519,
+      "mean_token_accuracy": 0.16334805637598038,
+      "num_tokens": 6003752.0,
+      "step": 3295
+    },
+    {
+      "entropy": 5.675233459472656,
+      "epoch": 2.7340513670256836,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004537053272075693,
+      "loss": 5.5263,
+      "mean_token_accuracy": 0.1621565416455269,
+      "num_tokens": 6012486.0,
+      "step": 3300
+    },
+    {
+      "entropy": 5.5136041164398195,
+      "epoch": 2.7381938690969347,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045351098581542204,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.163838130235672,
+      "num_tokens": 6020742.0,
+      "step": 3305
+    },
+    {
+      "entropy": 5.646917295455933,
+      "epoch": 2.742336371168186,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004533162843471089,
+      "loss": 5.5009,
+      "mean_token_accuracy": 0.15474170595407485,
+      "num_tokens": 6030248.0,
+      "step": 3310
+    },
+    {
+      "entropy": 5.632185411453247,
+      "epoch": 2.7464788732394365,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004531212231953641,
+      "loss": 5.5436,
+      "mean_token_accuracy": 0.15157791674137117,
+      "num_tokens": 6039293.0,
+      "step": 3315
+    },
+    {
+      "entropy": 5.587828540802002,
+      "epoch": 2.7506213753106876,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004529258027536473,
+      "loss": 5.4134,
+      "mean_token_accuracy": 0.16378402560949326,
+      "num_tokens": 6048081.0,
+      "step": 3320
+    },
+    {
+      "entropy": 5.673684549331665,
+      "epoch": 2.7547638773819387,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004527300234161428,
+      "loss": 5.5753,
+      "mean_token_accuracy": 0.15969255268573762,
+      "num_tokens": 6057549.0,
+      "step": 3325
+    },
+    {
+      "entropy": 5.646554040908813,
+      "epoch": 2.75890637945319,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004525338855777591,
+      "loss": 5.5589,
+      "mean_token_accuracy": 0.15469738617539405,
+      "num_tokens": 6067372.0,
+      "step": 3330
+    },
+    {
+      "entropy": 5.595069122314453,
+      "epoch": 2.7630488815244405,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045233738963412746,
+      "loss": 5.4181,
+      "mean_token_accuracy": 0.1717814713716507,
+      "num_tokens": 6075532.0,
+      "step": 3335
+    },
+    {
+      "entropy": 5.5924467086792,
+      "epoch": 2.7671913835956916,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045214053598160173,
+      "loss": 5.4439,
+      "mean_token_accuracy": 0.16404369622468948,
+      "num_tokens": 6084389.0,
+      "step": 3340
+    },
+    {
+      "entropy": 5.598109579086303,
+      "epoch": 2.7713338856669427,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045194332501725725,
+      "loss": 5.4706,
+      "mean_token_accuracy": 0.16428767740726472,
+      "num_tokens": 6093536.0,
+      "step": 3345
+    },
+    {
+      "entropy": 5.637304496765137,
+      "epoch": 2.775476387738194,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00045174575713889014,
+      "loss": 5.5167,
+      "mean_token_accuracy": 0.16573925465345382,
+      "num_tokens": 6102677.0,
+      "step": 3350
+    },
+    {
+      "entropy": 5.677533674240112,
+      "epoch": 2.779618889809445,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004515478327450164,
+      "loss": 5.5926,
+      "mean_token_accuracy": 0.156404609978199,
+      "num_tokens": 6112430.0,
+      "step": 3355
+    },
+    {
+      "entropy": 5.643227863311767,
+      "epoch": 2.783761391880696,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00045134955223487093,
+      "loss": 5.4889,
+      "mean_token_accuracy": 0.16630716919898986,
+      "num_tokens": 6121408.0,
+      "step": 3360
+    },
+    {
+      "entropy": 5.57972674369812,
+      "epoch": 2.787903893951947,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00045115091600840757,
+      "loss": 5.5188,
+      "mean_token_accuracy": 0.15800442099571227,
+      "num_tokens": 6131339.0,
+      "step": 3365
+    },
+    {
+      "entropy": 5.624274778366089,
+      "epoch": 2.7920463960231983,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00045095192446629697,
+      "loss": 5.4816,
+      "mean_token_accuracy": 0.16174803227186202,
+      "num_tokens": 6140590.0,
+      "step": 3370
+    },
+    {
+      "entropy": 5.704814815521241,
+      "epoch": 2.796188898094449,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000450752578009927,
+      "loss": 5.5621,
+      "mean_token_accuracy": 0.1653067871928215,
+      "num_tokens": 6149958.0,
+      "step": 3375
+    },
+    {
+      "entropy": 5.58657054901123,
+      "epoch": 2.8003314001657,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045055287704140115,
+      "loss": 5.4346,
+      "mean_token_accuracy": 0.15949429720640182,
+      "num_tokens": 6159411.0,
+      "step": 3380
+    },
+    {
+      "entropy": 5.595387983322143,
+      "epoch": 2.804473902236951,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004503528219635381,
+      "loss": 5.5138,
+      "mean_token_accuracy": 0.1545591250061989,
+      "num_tokens": 6169264.0,
+      "step": 3385
+    },
+    {
+      "entropy": 5.617677021026611,
+      "epoch": 2.8086164043082023,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004501524131798709,
+      "loss": 5.4826,
+      "mean_token_accuracy": 0.16332829892635345,
+      "num_tokens": 6178374.0,
+      "step": 3390
+    },
+    {
+      "entropy": 5.7183191776275635,
+      "epoch": 2.812758906379453,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000449951651094646,
+      "loss": 5.4697,
+      "mean_token_accuracy": 0.15537519603967667,
+      "num_tokens": 6186918.0,
+      "step": 3395
+    },
+    {
+      "entropy": 5.566522169113159,
+      "epoch": 2.816901408450704,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044975053611282217,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.1613329365849495,
+      "num_tokens": 6196400.0,
+      "step": 3400
+    },
+    {
+      "entropy": 5.514105558395386,
+      "epoch": 2.821043910521955,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004495490686400706,
+      "loss": 5.3941,
+      "mean_token_accuracy": 0.1649619847536087,
+      "num_tokens": 6204849.0,
+      "step": 3405
+    },
+    {
+      "entropy": 5.615210485458374,
+      "epoch": 2.8251864125932062,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00044934724908277313,
+      "loss": 5.4834,
+      "mean_token_accuracy": 0.16362717300653457,
+      "num_tokens": 6214121.0,
+      "step": 3410
+    },
+    {
+      "entropy": 5.654720067977905,
+      "epoch": 2.8293289146644574,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044914507784802184,
+      "loss": 5.4835,
+      "mean_token_accuracy": 0.16509974151849746,
+      "num_tokens": 6223163.0,
+      "step": 3415
+    },
+    {
+      "entropy": 5.641624307632446,
+      "epoch": 2.8334714167357085,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004489425553436182,
+      "loss": 5.5084,
+      "mean_token_accuracy": 0.15882937759160995,
+      "num_tokens": 6231581.0,
+      "step": 3420
+    },
+    {
+      "entropy": 5.659383153915405,
+      "epoch": 2.8376139188069596,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00044873968197807213,
+      "loss": 5.5838,
+      "mean_token_accuracy": 0.1599879801273346,
+      "num_tokens": 6240015.0,
+      "step": 3425
+    },
+    {
+      "entropy": 5.666435050964355,
+      "epoch": 2.8417564208782107,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044853645816060156,
+      "loss": 5.5979,
+      "mean_token_accuracy": 0.1532062940299511,
+      "num_tokens": 6249083.0,
+      "step": 3430
+    },
+    {
+      "entropy": 5.6627098560333256,
+      "epoch": 2.8458989229494613,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00044833288430113104,
+      "loss": 5.5496,
+      "mean_token_accuracy": 0.1654196172952652,
+      "num_tokens": 6258798.0,
+      "step": 3435
+    },
+    {
+      "entropy": 5.609176588058472,
+      "epoch": 2.8500414250207124,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00044812896081029136,
+      "loss": 5.4023,
+      "mean_token_accuracy": 0.16617698073387147,
+      "num_tokens": 6267819.0,
+      "step": 3440
+    },
+    {
+      "entropy": 5.626215600967408,
+      "epoch": 2.8541839270919636,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004479246880994183,
+      "loss": 5.4804,
+      "mean_token_accuracy": 0.15876610353589057,
+      "num_tokens": 6276915.0,
+      "step": 3445
+    },
+    {
+      "entropy": 5.627827167510986,
+      "epoch": 2.8583264291632147,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004477200665805525,
+      "loss": 5.5216,
+      "mean_token_accuracy": 0.15861138105392455,
+      "num_tokens": 6285880.0,
+      "step": 3450
+    },
+    {
+      "entropy": 5.6323963642120365,
+      "epoch": 2.8624689312344658,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00044751509666643777,
+      "loss": 5.6351,
+      "mean_token_accuracy": 0.14970673844218255,
+      "num_tokens": 6295408.0,
+      "step": 3455
+    },
+    {
+      "entropy": 5.6166990280151365,
+      "epoch": 2.8666114333057164,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044730977877052084,
+      "loss": 5.3753,
+      "mean_token_accuracy": 0.16562075018882752,
+      "num_tokens": 6304110.0,
+      "step": 3460
+    },
+    {
+      "entropy": 5.669659185409546,
+      "epoch": 2.8707539353769675,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00044710411330695045,
+      "loss": 5.5254,
+      "mean_token_accuracy": 0.15842530727386475,
+      "num_tokens": 6312577.0,
+      "step": 3465
+    },
+    {
+      "entropy": 5.738371801376343,
+      "epoch": 2.8748964374482187,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00044689810069057615,
+      "loss": 5.606,
+      "mean_token_accuracy": 0.15023296922445298,
+      "num_tokens": 6321766.0,
+      "step": 3470
+    },
+    {
+      "entropy": 5.642851161956787,
+      "epoch": 2.8790389395194698,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004466917413369479,
+      "loss": 5.5731,
+      "mean_token_accuracy": 0.151870658993721,
+      "num_tokens": 6330327.0,
+      "step": 3475
+    },
+    {
+      "entropy": 5.577242517471314,
+      "epoch": 2.883181441590721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004464850356623152,
+      "loss": 5.4926,
+      "mean_token_accuracy": 0.16011006087064744,
+      "num_tokens": 6339596.0,
+      "step": 3480
+    },
+    {
+      "entropy": 5.613158226013184,
+      "epoch": 2.887323943661972,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00044627798408362597,
+      "loss": 5.3986,
+      "mean_token_accuracy": 0.1670537531375885,
+      "num_tokens": 6348080.0,
+      "step": 3485
+    },
+    {
+      "entropy": 5.613135099411011,
+      "epoch": 2.891466445733223,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004460705870185258,
+      "loss": 5.5277,
+      "mean_token_accuracy": 0.15435466170310974,
+      "num_tokens": 6357725.0,
+      "step": 3490
+    },
+    {
+      "entropy": 5.627930736541748,
+      "epoch": 2.8956089478044738,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004458628448853572,
+      "loss": 5.4831,
+      "mean_token_accuracy": 0.16073092967271804,
+      "num_tokens": 6366821.0,
+      "step": 3495
+    },
+    {
+      "entropy": 5.729347085952758,
+      "epoch": 2.899751449875725,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004456547581031589,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.15560299083590506,
+      "num_tokens": 6375641.0,
+      "step": 3500
+    },
+    {
+      "epoch": 2.899751449875725,
+      "eval_entropy": 5.414937326394673,
+      "eval_loss": 5.899942874908447,
+      "eval_mean_token_accuracy": 0.15183768343569629,
+      "eval_num_tokens": 6375641.0,
+      "eval_runtime": 2.9583,
+      "eval_samples_per_second": 1266.605,
+      "eval_steps_per_second": 158.537,
+      "step": 3500
+    },
+    {
+      "entropy": 5.548971128463745,
+      "epoch": 2.903893951946976,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004454463270916646,
+      "loss": 5.404,
+      "mean_token_accuracy": 0.1680065542459488,
+      "num_tokens": 6384596.0,
+      "step": 3505
+    },
+    {
+      "entropy": 5.719941425323486,
+      "epoch": 2.908036454018227,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004452375522713023,
+      "loss": 5.7474,
+      "mean_token_accuracy": 0.14030246064066887,
+      "num_tokens": 6395048.0,
+      "step": 3510
+    },
+    {
+      "entropy": 5.643452119827271,
+      "epoch": 2.912178956089478,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004450284340631938,
+      "loss": 5.5762,
+      "mean_token_accuracy": 0.15520212948322296,
+      "num_tokens": 6404828.0,
+      "step": 3515
+    },
+    {
+      "entropy": 5.627139854431152,
+      "epoch": 2.916321458160729,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044481897288915334,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.16042221039533616,
+      "num_tokens": 6414670.0,
+      "step": 3520
+    },
+    {
+      "entropy": 5.474701166152954,
+      "epoch": 2.92046396023198,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044460916917168697,
+      "loss": 5.3896,
+      "mean_token_accuracy": 0.16453512459993364,
+      "num_tokens": 6423446.0,
+      "step": 3525
+    },
+    {
+      "entropy": 5.5396312236785885,
+      "epoch": 2.924606462303231,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004443990233339918,
+      "loss": 5.4655,
+      "mean_token_accuracy": 0.1552535504102707,
+      "num_tokens": 6433412.0,
+      "step": 3530
+    },
+    {
+      "entropy": 5.652051544189453,
+      "epoch": 2.928748964374482,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004441885357999548,
+      "loss": 5.444,
+      "mean_token_accuracy": 0.1643453508615494,
+      "num_tokens": 6443520.0,
+      "step": 3535
+    },
+    {
+      "entropy": 5.674185514450073,
+      "epoch": 2.9328914664457333,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004439777069941524,
+      "loss": 5.5527,
+      "mean_token_accuracy": 0.15431721061468123,
+      "num_tokens": 6452933.0,
+      "step": 3540
+    },
+    {
+      "entropy": 5.550513553619385,
+      "epoch": 2.9370339685169844,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044376653734184935,
+      "loss": 5.3908,
+      "mean_token_accuracy": 0.16788479536771775,
+      "num_tokens": 6462113.0,
+      "step": 3545
+    },
+    {
+      "entropy": 5.468146800994873,
+      "epoch": 2.9411764705882355,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004435550272689979,
+      "loss": 5.4246,
+      "mean_token_accuracy": 0.16583772748708725,
+      "num_tokens": 6471411.0,
+      "step": 3550
+    },
+    {
+      "entropy": 5.662385082244873,
+      "epoch": 2.945318972659486,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00044334317720223706,
+      "loss": 5.532,
+      "mean_token_accuracy": 0.1599032275378704,
+      "num_tokens": 6480682.0,
+      "step": 3555
+    },
+    {
+      "entropy": 5.678339672088623,
+      "epoch": 2.9494614747307373,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00044313098756889154,
+      "loss": 5.5754,
+      "mean_token_accuracy": 0.15587076246738435,
+      "num_tokens": 6490614.0,
+      "step": 3560
+    },
+    {
+      "entropy": 5.585533094406128,
+      "epoch": 2.9536039768019884,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004429184587969708,
+      "loss": 5.4273,
+      "mean_token_accuracy": 0.16405707746744155,
+      "num_tokens": 6499079.0,
+      "step": 3565
+    },
+    {
+      "entropy": 5.668995666503906,
+      "epoch": 2.9577464788732395,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004427055913151689,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.14727827310562133,
+      "num_tokens": 6508556.0,
+      "step": 3570
+    },
+    {
+      "entropy": 5.70610499382019,
+      "epoch": 2.9618889809444906,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004424923855528626,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.15901169627904893,
+      "num_tokens": 6517934.0,
+      "step": 3575
+    },
+    {
+      "entropy": 5.614701509475708,
+      "epoch": 2.9660314830157413,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004422788419401114,
+      "loss": 5.4321,
+      "mean_token_accuracy": 0.1702651560306549,
+      "num_tokens": 6526995.0,
+      "step": 3580
+    },
+    {
+      "entropy": 5.572284936904907,
+      "epoch": 2.9701739850869924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00044206496090765595,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1573972523212433,
+      "num_tokens": 6535264.0,
+      "step": 3585
+    },
+    {
+      "entropy": 5.610080623626709,
+      "epoch": 2.9743164871582435,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00044185074288691776,
+      "loss": 5.3994,
+      "mean_token_accuracy": 0.1746336281299591,
+      "num_tokens": 6544498.0,
+      "step": 3590
+    },
+    {
+      "entropy": 5.582769393920898,
+      "epoch": 2.9784589892294946,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044163618830999794,
+      "loss": 5.5098,
+      "mean_token_accuracy": 0.16030704230070114,
+      "num_tokens": 6554761.0,
+      "step": 3595
+    },
+    {
+      "entropy": 5.603819417953491,
+      "epoch": 2.9826014913007457,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044142129760967643,
+      "loss": 5.5614,
+      "mean_token_accuracy": 0.15714355707168579,
+      "num_tokens": 6564039.0,
+      "step": 3600
+    },
+    {
+      "entropy": 5.679829835891724,
+      "epoch": 2.986743993371997,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004412060712194115,
+      "loss": 5.5068,
+      "mean_token_accuracy": 0.15993095487356185,
+      "num_tokens": 6572559.0,
+      "step": 3605
+    },
+    {
+      "entropy": 5.589264869689941,
+      "epoch": 2.990886495443248,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004409905095733381,
+      "loss": 5.4931,
+      "mean_token_accuracy": 0.1612076446413994,
+      "num_tokens": 6581621.0,
+      "step": 3610
+    },
+    {
+      "entropy": 5.550649166107178,
+      "epoch": 2.995028997514499,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00044077461310626764,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.15403861105442046,
+      "num_tokens": 6590353.0,
+      "step": 3615
+    },
+    {
+      "entropy": 5.64892258644104,
+      "epoch": 2.9991714995857497,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000440558382253687,
+      "loss": 5.4575,
+      "mean_token_accuracy": 0.16497674435377122,
+      "num_tokens": 6598822.0,
+      "step": 3620
+    },
+    {
+      "entropy": 5.5967165470123295,
+      "epoch": 3.003314001657001,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004403418174517573,
+      "loss": 5.2529,
+      "mean_token_accuracy": 0.16683556884527206,
+      "num_tokens": 6606728.0,
+      "step": 3625
+    },
+    {
+      "entropy": 5.599476623535156,
+      "epoch": 3.007456503728252,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044012491913731353,
+      "loss": 5.1756,
+      "mean_token_accuracy": 0.1743481546640396,
+      "num_tokens": 6616226.0,
+      "step": 3630
+    },
+    {
+      "entropy": 5.5095573425292965,
+      "epoch": 3.011599005799503,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004399076877478632,
+      "loss": 5.0266,
+      "mean_token_accuracy": 0.1868550017476082,
+      "num_tokens": 6624801.0,
+      "step": 3635
+    },
+    {
+      "entropy": 5.60879430770874,
+      "epoch": 3.015741507870754,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004396901237215858,
+      "loss": 5.2209,
+      "mean_token_accuracy": 0.16688485741615294,
+      "num_tokens": 6633043.0,
+      "step": 3640
+    },
+    {
+      "entropy": 5.538025426864624,
+      "epoch": 3.019884009942005,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043947222749733173,
+      "loss": 5.1692,
+      "mean_token_accuracy": 0.17499702274799347,
+      "num_tokens": 6641197.0,
+      "step": 3645
+    },
+    {
+      "entropy": 5.586767101287842,
+      "epoch": 3.024026512013256,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043925399951462153,
+      "loss": 5.2064,
+      "mean_token_accuracy": 0.1801098555326462,
+      "num_tokens": 6650411.0,
+      "step": 3650
+    },
+    {
+      "entropy": 5.4191618919372555,
+      "epoch": 3.028169014084507,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004390354402136449,
+      "loss": 5.0903,
+      "mean_token_accuracy": 0.17804521024227143,
+      "num_tokens": 6659405.0,
+      "step": 3655
+    },
+    {
+      "entropy": 5.583788824081421,
+      "epoch": 3.032311516155758,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0004388165500352597,
+      "loss": 5.1642,
+      "mean_token_accuracy": 0.17557908743619918,
+      "num_tokens": 6667701.0,
+      "step": 3660
+    },
+    {
+      "entropy": 5.614604902267456,
+      "epoch": 3.036454018227009,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004385973294209915,
+      "loss": 5.1881,
+      "mean_token_accuracy": 0.17808027267456056,
+      "num_tokens": 6676801.0,
+      "step": 3665
+    },
+    {
+      "entropy": 5.457578706741333,
+      "epoch": 3.0405965202982603,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004383777788130321,
+      "loss": 5.083,
+      "mean_token_accuracy": 0.17836775481700898,
+      "num_tokens": 6686005.0,
+      "step": 3670
+    },
+    {
+      "entropy": 5.479088068008423,
+      "epoch": 3.044739022369511,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004381578986542393,
+      "loss": 5.0937,
+      "mean_token_accuracy": 0.17960153371095658,
+      "num_tokens": 6694884.0,
+      "step": 3675
+    },
+    {
+      "entropy": 5.501745700836182,
+      "epoch": 3.048881524440762,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004379376893881352,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.17827630788087845,
+      "num_tokens": 6703476.0,
+      "step": 3680
+    },
+    {
+      "entropy": 5.616245269775391,
+      "epoch": 3.053024026512013,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004377171514589059,
+      "loss": 5.2531,
+      "mean_token_accuracy": 0.1736731931567192,
+      "num_tokens": 6712576.0,
+      "step": 3685
+    },
+    {
+      "entropy": 5.398316955566406,
+      "epoch": 3.0571665285832643,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004374962853114007,
+      "loss": 5.0545,
+      "mean_token_accuracy": 0.18062082678079605,
+      "num_tokens": 6721532.0,
+      "step": 3690
+    },
+    {
+      "entropy": 5.480774354934693,
+      "epoch": 3.0613090306545154,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004372750913911306,
+      "loss": 5.1028,
+      "mean_token_accuracy": 0.18300070911645888,
+      "num_tokens": 6730055.0,
+      "step": 3695
+    },
+    {
+      "entropy": 5.446919918060303,
+      "epoch": 3.0654515327257665,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004370535701442679,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.17969694286584853,
+      "num_tokens": 6739310.0,
+      "step": 3700
+    },
+    {
+      "entropy": 5.54828953742981,
+      "epoch": 3.069594034797017,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043683172201764537,
+      "loss": 5.2581,
+      "mean_token_accuracy": 0.16716694980859756,
+      "num_tokens": 6748976.0,
+      "step": 3705
+    },
+    {
+      "entropy": 5.539231872558593,
+      "epoch": 3.0737365368682683,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004366095474587547,
+      "loss": 5.1044,
+      "mean_token_accuracy": 0.17598106861114501,
+      "num_tokens": 6758043.0,
+      "step": 3710
+    },
+    {
+      "entropy": 5.500854778289795,
+      "epoch": 3.0778790389395194,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00043638704691574646,
+      "loss": 5.163,
+      "mean_token_accuracy": 0.1786232903599739,
+      "num_tokens": 6767554.0,
+      "step": 3715
+    },
+    {
+      "entropy": 5.560473966598511,
+      "epoch": 3.0820215410107705,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004361642208374283,
+      "loss": 5.1882,
+      "mean_token_accuracy": 0.1666739672422409,
+      "num_tokens": 6776161.0,
+      "step": 3720
+    },
+    {
+      "entropy": 5.476630401611328,
+      "epoch": 3.0861640430820216,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043594106967326495,
+      "loss": 5.1169,
+      "mean_token_accuracy": 0.17555084377527236,
+      "num_tokens": 6785371.0,
+      "step": 3725
+    },
+    {
+      "entropy": 5.494755983352661,
+      "epoch": 3.0903065451532727,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00043571759387337665,
+      "loss": 5.1456,
+      "mean_token_accuracy": 0.1808715656399727,
+      "num_tokens": 6795242.0,
+      "step": 3730
+    },
+    {
+      "entropy": 5.591760492324829,
+      "epoch": 3.0944490472245234,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004354937938885385,
+      "loss": 5.2235,
+      "mean_token_accuracy": 0.17338325083255768,
+      "num_tokens": 6805423.0,
+      "step": 3735
+    },
+    {
+      "entropy": 5.464981889724731,
+      "epoch": 3.0985915492957745,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004352696701701796,
+      "loss": 5.1469,
+      "mean_token_accuracy": 0.17880967408418655,
+      "num_tokens": 6814377.0,
+      "step": 3740
+    },
+    {
+      "entropy": 5.448660278320313,
+      "epoch": 3.1027340513670256,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004350452231703819,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.18132367432117463,
+      "num_tokens": 6824025.0,
+      "step": 3745
+    },
+    {
+      "entropy": 5.550149536132812,
+      "epoch": 3.1068765534382767,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043482045334187954,
+      "loss": 5.1273,
+      "mean_token_accuracy": 0.18649032860994338,
+      "num_tokens": 6833071.0,
+      "step": 3750
+    },
+    {
+      "entropy": 5.442513799667358,
+      "epoch": 3.111019055509528,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043459536113805785,
+      "loss": 5.1076,
+      "mean_token_accuracy": 0.17443138360977173,
+      "num_tokens": 6841983.0,
+      "step": 3755
+    },
+    {
+      "entropy": 5.447629022598266,
+      "epoch": 3.115161557580779,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00043436994701295237,
+      "loss": 5.1043,
+      "mean_token_accuracy": 0.17914267033338546,
+      "num_tokens": 6851436.0,
+      "step": 3760
+    },
+    {
+      "entropy": 5.461205101013183,
+      "epoch": 3.1193040596520296,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00043414421142124804,
+      "loss": 5.1836,
+      "mean_token_accuracy": 0.1672696813941002,
+      "num_tokens": 6861810.0,
+      "step": 3765
+    },
+    {
+      "entropy": 5.478553342819214,
+      "epoch": 3.1234465617232807,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00043391815481827814,
+      "loss": 5.0639,
+      "mean_token_accuracy": 0.18850475996732713,
+      "num_tokens": 6870418.0,
+      "step": 3770
+    },
+    {
+      "entropy": 5.41155161857605,
+      "epoch": 3.127589063794532,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004336917776600237,
+      "loss": 5.0683,
+      "mean_token_accuracy": 0.18221812546253205,
+      "num_tokens": 6879419.0,
+      "step": 3775
+    },
+    {
+      "entropy": 5.435874891281128,
+      "epoch": 3.131731565865783,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004334650804031122,
+      "loss": 5.1852,
+      "mean_token_accuracy": 0.17172302156686783,
+      "num_tokens": 6888768.0,
+      "step": 3780
+    },
+    {
+      "entropy": 5.507850646972656,
+      "epoch": 3.135874067937034,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004332380635048165,
+      "loss": 5.1296,
+      "mean_token_accuracy": 0.17900288552045823,
+      "num_tokens": 6897133.0,
+      "step": 3785
+    },
+    {
+      "entropy": 5.485491752624512,
+      "epoch": 3.140016570008285,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00043301072742305474,
+      "loss": 5.1773,
+      "mean_token_accuracy": 0.17168077528476716,
+      "num_tokens": 6904976.0,
+      "step": 3790
+    },
+    {
+      "entropy": 5.537312364578247,
+      "epoch": 3.1441590720795363,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0004327830726163886,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.17883574068546296,
+      "num_tokens": 6915138.0,
+      "step": 3795
+    },
+    {
+      "entropy": 5.548703718185425,
+      "epoch": 3.148301574150787,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0004325550995440226,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.1752033144235611,
+      "num_tokens": 6923962.0,
+      "step": 3800
+    },
+    {
+      "entropy": 5.386642169952393,
+      "epoch": 3.152444076222038,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043232680866580356,
+      "loss": 5.1478,
+      "mean_token_accuracy": 0.17952724993228913,
+      "num_tokens": 6932102.0,
+      "step": 3805
+    },
+    {
+      "entropy": 5.464086627960205,
+      "epoch": 3.156586578293289,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00043209820044221893,
+      "loss": 5.153,
+      "mean_token_accuracy": 0.1785269558429718,
+      "num_tokens": 6940354.0,
+      "step": 3810
+    },
+    {
+      "entropy": 5.4963922023773195,
+      "epoch": 3.1607290803645403,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00043186927533439654,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.1716633692383766,
+      "num_tokens": 6949779.0,
+      "step": 3815
+    },
+    {
+      "entropy": 5.536400413513183,
+      "epoch": 3.1648715824357914,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043164003380410335,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.17445194274187087,
+      "num_tokens": 6958760.0,
+      "step": 3820
+    },
+    {
+      "entropy": 5.486375331878662,
+      "epoch": 3.169014084507042,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004314104763137445,
+      "loss": 5.1037,
+      "mean_token_accuracy": 0.18134674280881882,
+      "num_tokens": 6967535.0,
+      "step": 3825
+    },
+    {
+      "entropy": 5.469356393814087,
+      "epoch": 3.173156586578293,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043118060332636264,
+      "loss": 5.2036,
+      "mean_token_accuracy": 0.17774708271026612,
+      "num_tokens": 6976211.0,
+      "step": 3830
+    },
+    {
+      "entropy": 5.576221227645874,
+      "epoch": 3.1772990886495442,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043095041530563665,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.17325948774814606,
+      "num_tokens": 6986001.0,
+      "step": 3835
+    },
+    {
+      "entropy": 5.420689487457276,
+      "epoch": 3.1814415907207954,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00043071991271588104,
+      "loss": 5.2006,
+      "mean_token_accuracy": 0.18302187621593474,
+      "num_tokens": 6994568.0,
+      "step": 3840
+    },
+    {
+      "entropy": 5.52434401512146,
+      "epoch": 3.1855840927920465,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004304890960220446,
+      "loss": 5.2921,
+      "mean_token_accuracy": 0.16869494169950486,
+      "num_tokens": 7004744.0,
+      "step": 3845
+    },
+    {
+      "entropy": 5.520354557037353,
+      "epoch": 3.1897265948632976,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043025796568970975,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.1696591019630432,
+      "num_tokens": 7014315.0,
+      "step": 3850
+    },
+    {
+      "entropy": 5.523347425460815,
+      "epoch": 3.1938690969345487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043002652218509184,
+      "loss": 5.1172,
+      "mean_token_accuracy": 0.18450311720371246,
+      "num_tokens": 7022258.0,
+      "step": 3855
+    },
+    {
+      "entropy": 5.522213459014893,
+      "epoch": 3.1980115990057993,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004297947659750376,
+      "loss": 5.2587,
+      "mean_token_accuracy": 0.1674624815583229,
+      "num_tokens": 7031732.0,
+      "step": 3860
+    },
+    {
+      "entropy": 5.467557621002197,
+      "epoch": 3.2021541010770505,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004295626975270246,
+      "loss": 5.1818,
+      "mean_token_accuracy": 0.1766605108976364,
+      "num_tokens": 7040478.0,
+      "step": 3865
+    },
+    {
+      "entropy": 5.490935039520264,
+      "epoch": 3.2062966031483016,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00042933031730916024,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.18396904766559602,
+      "num_tokens": 7049360.0,
+      "step": 3870
+    },
+    {
+      "entropy": 5.5688018798828125,
+      "epoch": 3.2104391052195527,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000429097625790181,
+      "loss": 5.2267,
+      "mean_token_accuracy": 0.17498258501291275,
+      "num_tokens": 7059271.0,
+      "step": 3875
+    },
+    {
+      "entropy": 5.398471450805664,
+      "epoch": 3.2145816072908038,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004288646234394508,
+      "loss": 5.2177,
+      "mean_token_accuracy": 0.17296054661273957,
+      "num_tokens": 7069038.0,
+      "step": 3880
+    },
+    {
+      "entropy": 5.5407984256744385,
+      "epoch": 3.218724109362055,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00042863131072696115,
+      "loss": 5.1617,
+      "mean_token_accuracy": 0.17704827934503556,
+      "num_tokens": 7077971.0,
+      "step": 3885
+    },
+    {
+      "entropy": 5.4559561252594,
+      "epoch": 3.2228666114333056,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00042839768812332905,
+      "loss": 5.1612,
+      "mean_token_accuracy": 0.17406544089317322,
+      "num_tokens": 7086821.0,
+      "step": 3890
+    },
+    {
+      "entropy": 5.419722366333008,
+      "epoch": 3.2270091135045567,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000428163756099797,
+      "loss": 5.1859,
+      "mean_token_accuracy": 0.17225482910871506,
+      "num_tokens": 7095407.0,
+      "step": 3895
+    },
+    {
+      "entropy": 5.48249921798706,
+      "epoch": 3.2311516155758078,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004279295151282314,
+      "loss": 5.1116,
+      "mean_token_accuracy": 0.18240531533956528,
+      "num_tokens": 7103964.0,
+      "step": 3900
+    },
+    {
+      "entropy": 5.564240264892578,
+      "epoch": 3.235294117647059,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004276949656811217,
+      "loss": 5.251,
+      "mean_token_accuracy": 0.17079487890005113,
+      "num_tokens": 7113571.0,
+      "step": 3905
+    },
+    {
+      "entropy": 5.522033739089966,
+      "epoch": 3.23943661971831,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00042746010823158006,
+      "loss": 5.2738,
+      "mean_token_accuracy": 0.17067040055990218,
+      "num_tokens": 7122844.0,
+      "step": 3910
+    },
+    {
+      "entropy": 5.4324219703674315,
+      "epoch": 3.243579121789561,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042722494325333945,
+      "loss": 5.1326,
+      "mean_token_accuracy": 0.176889306306839,
+      "num_tokens": 7132123.0,
+      "step": 3915
+    },
+    {
+      "entropy": 5.458636379241943,
+      "epoch": 3.2477216238608118,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004269894712207533,
+      "loss": 5.1819,
+      "mean_token_accuracy": 0.18051923513412477,
+      "num_tokens": 7141068.0,
+      "step": 3920
+    },
+    {
+      "entropy": 5.43212571144104,
+      "epoch": 3.251864125932063,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004267536926087947,
+      "loss": 5.1925,
+      "mean_token_accuracy": 0.1708641156554222,
+      "num_tokens": 7150829.0,
+      "step": 3925
+    },
+    {
+      "entropy": 5.458031702041626,
+      "epoch": 3.256006628003314,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004265176078930545,
+      "loss": 5.1703,
+      "mean_token_accuracy": 0.17345706522464752,
+      "num_tokens": 7160814.0,
+      "step": 3930
+    },
+    {
+      "entropy": 5.498150825500488,
+      "epoch": 3.260149130074565,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00042628121754974166,
+      "loss": 5.2634,
+      "mean_token_accuracy": 0.17203340232372283,
+      "num_tokens": 7170085.0,
+      "step": 3935
+    },
+    {
+      "entropy": 5.590339422225952,
+      "epoch": 3.264291632145816,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004260445220556811,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.1736685037612915,
+      "num_tokens": 7179366.0,
+      "step": 3940
+    },
+    {
+      "entropy": 5.52174072265625,
+      "epoch": 3.2684341342170673,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00042580752188831376,
+      "loss": 5.2819,
+      "mean_token_accuracy": 0.17067586481571198,
+      "num_tokens": 7188342.0,
+      "step": 3945
+    },
+    {
+      "entropy": 5.556540441513062,
+      "epoch": 3.272576636288318,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004255702175256946,
+      "loss": 5.3095,
+      "mean_token_accuracy": 0.17531315684318544,
+      "num_tokens": 7197466.0,
+      "step": 3950
+    },
+    {
+      "entropy": 5.42687840461731,
+      "epoch": 3.276719138359569,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00042533260944649273,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17852312475442886,
+      "num_tokens": 7205462.0,
+      "step": 3955
+    },
+    {
+      "entropy": 5.424286890029907,
+      "epoch": 3.28086164043082,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004250946981299893,
+      "loss": 5.1838,
+      "mean_token_accuracy": 0.17682615667581558,
+      "num_tokens": 7215115.0,
+      "step": 3960
+    },
+    {
+      "entropy": 5.459038209915161,
+      "epoch": 3.2850041425020713,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00042485648405607776,
+      "loss": 5.1379,
+      "mean_token_accuracy": 0.17029522657394408,
+      "num_tokens": 7224909.0,
+      "step": 3965
+    },
+    {
+      "entropy": 5.392039203643799,
+      "epoch": 3.2891466445733224,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004246179677052617,
+      "loss": 5.0642,
+      "mean_token_accuracy": 0.18698266595602037,
+      "num_tokens": 7232946.0,
+      "step": 3970
+    },
+    {
+      "entropy": 5.362467432022095,
+      "epoch": 3.2932891466445735,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004243791495586547,
+      "loss": 5.1736,
+      "mean_token_accuracy": 0.17996304631233215,
+      "num_tokens": 7241104.0,
+      "step": 3975
+    },
+    {
+      "entropy": 5.567073392868042,
+      "epoch": 3.297431648715824,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004241400300979791,
+      "loss": 5.2257,
+      "mean_token_accuracy": 0.1786801502108574,
+      "num_tokens": 7250749.0,
+      "step": 3980
+    },
+    {
+      "entropy": 5.447740983963013,
+      "epoch": 3.3015741507870753,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004239006098055651,
+      "loss": 5.124,
+      "mean_token_accuracy": 0.1787547677755356,
+      "num_tokens": 7258687.0,
+      "step": 3985
+    },
+    {
+      "entropy": 5.41381049156189,
+      "epoch": 3.3057166528583264,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004236608891643494,
+      "loss": 5.1572,
+      "mean_token_accuracy": 0.17702401280403138,
+      "num_tokens": 7267316.0,
+      "step": 3990
+    },
+    {
+      "entropy": 5.448715782165527,
+      "epoch": 3.3098591549295775,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004234208686578748,
+      "loss": 5.1777,
+      "mean_token_accuracy": 0.17505329996347427,
+      "num_tokens": 7276734.0,
+      "step": 3995
+    },
+    {
+      "entropy": 5.440592193603516,
+      "epoch": 3.3140016570008286,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00042318054877028876,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17840310037136078,
+      "num_tokens": 7285916.0,
+      "step": 4000
+    },
+    {
+      "epoch": 3.3140016570008286,
+      "eval_entropy": 5.363256025416002,
+      "eval_loss": 5.893955707550049,
+      "eval_mean_token_accuracy": 0.15349840453819935,
+      "eval_num_tokens": 7285916.0,
+      "eval_runtime": 2.7471,
+      "eval_samples_per_second": 1363.961,
+      "eval_steps_per_second": 170.723,
+      "step": 4000
+    },
+    {
+      "entropy": 5.487448406219483,
+      "epoch": 3.3181441590720797,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042293992998634314,
+      "loss": 5.1667,
+      "mean_token_accuracy": 0.17779863625764847,
+      "num_tokens": 7294184.0,
+      "step": 4005
+    },
+    {
+      "entropy": 5.414953899383545,
+      "epoch": 3.3222866611433304,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004226990127913918,
+      "loss": 5.177,
+      "mean_token_accuracy": 0.1768763244152069,
+      "num_tokens": 7302647.0,
+      "step": 4010
+    },
+    {
+      "entropy": 5.442982530593872,
+      "epoch": 3.3264291632145815,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004224577976713915,
+      "loss": 5.2506,
+      "mean_token_accuracy": 0.16832198798656464,
+      "num_tokens": 7311455.0,
+      "step": 4015
+    },
+    {
+      "entropy": 5.609448575973511,
+      "epoch": 3.3305716652858326,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00042221628511289927,
+      "loss": 5.3136,
+      "mean_token_accuracy": 0.16625809520483018,
+      "num_tokens": 7320978.0,
+      "step": 4020
+    },
+    {
+      "entropy": 5.612923622131348,
+      "epoch": 3.3347141673570837,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004219744756030723,
+      "loss": 5.3273,
+      "mean_token_accuracy": 0.16872513592243193,
+      "num_tokens": 7330202.0,
+      "step": 4025
+    },
+    {
+      "entropy": 5.4015247344970705,
+      "epoch": 3.338856669428335,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00042173236962966706,
+      "loss": 5.1649,
+      "mean_token_accuracy": 0.17969190180301667,
+      "num_tokens": 7339121.0,
+      "step": 4030
+    },
+    {
+      "entropy": 5.492907905578614,
+      "epoch": 3.342999171499586,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004214899676810375,
+      "loss": 5.2251,
+      "mean_token_accuracy": 0.1665240079164505,
+      "num_tokens": 7348631.0,
+      "step": 4035
+    },
+    {
+      "entropy": 5.469464063644409,
+      "epoch": 3.347141673570837,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004212472702461348,
+      "loss": 5.1843,
+      "mean_token_accuracy": 0.1820875510573387,
+      "num_tokens": 7358354.0,
+      "step": 4040
+    },
+    {
+      "entropy": 5.454071807861328,
+      "epoch": 3.3512841756420877,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004210042778145064,
+      "loss": 5.2038,
+      "mean_token_accuracy": 0.17285584658384323,
+      "num_tokens": 7367031.0,
+      "step": 4045
+    },
+    {
+      "entropy": 5.436822319030762,
+      "epoch": 3.355426677713339,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00042076099087629443,
+      "loss": 5.2025,
+      "mean_token_accuracy": 0.1784903883934021,
+      "num_tokens": 7375996.0,
+      "step": 4050
+    },
+    {
+      "entropy": 5.552537536621093,
+      "epoch": 3.35956917978459,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00042051740992223534,
+      "loss": 5.2567,
+      "mean_token_accuracy": 0.16439318358898164,
+      "num_tokens": 7385355.0,
+      "step": 4055
+    },
+    {
+      "entropy": 5.402252960205078,
+      "epoch": 3.363711681855841,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004202735354436586,
+      "loss": 5.0999,
+      "mean_token_accuracy": 0.1792566418647766,
+      "num_tokens": 7394384.0,
+      "step": 4060
+    },
+    {
+      "entropy": 5.511481237411499,
+      "epoch": 3.367854183927092,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00042002936793248546,
+      "loss": 5.2458,
+      "mean_token_accuracy": 0.1770971804857254,
+      "num_tokens": 7403141.0,
+      "step": 4065
+    },
+    {
+      "entropy": 5.508409786224365,
+      "epoch": 3.371996685998343,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004197849078812286,
+      "loss": 5.199,
+      "mean_token_accuracy": 0.1739865079522133,
+      "num_tokens": 7413331.0,
+      "step": 4070
+    },
+    {
+      "entropy": 5.471702003479004,
+      "epoch": 3.376139188069594,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004195401557829907,
+      "loss": 5.2368,
+      "mean_token_accuracy": 0.17052597552537918,
+      "num_tokens": 7422362.0,
+      "step": 4075
+    },
+    {
+      "entropy": 5.4563977241516115,
+      "epoch": 3.380281690140845,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041929511213146343,
+      "loss": 5.1661,
+      "mean_token_accuracy": 0.18033864200115204,
+      "num_tokens": 7431350.0,
+      "step": 4080
+    },
+    {
+      "entropy": 5.4815953254699705,
+      "epoch": 3.384424192212096,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004190497774209266,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.1800685152411461,
+      "num_tokens": 7440382.0,
+      "step": 4085
+    },
+    {
+      "entropy": 5.51438536643982,
+      "epoch": 3.3885666942833472,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00041880415214624715,
+      "loss": 5.2355,
+      "mean_token_accuracy": 0.17847414761781694,
+      "num_tokens": 7449357.0,
+      "step": 4090
+    },
+    {
+      "entropy": 5.463125705718994,
+      "epoch": 3.3927091963545983,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004185582368028781,
+      "loss": 5.1468,
+      "mean_token_accuracy": 0.1853232800960541,
+      "num_tokens": 7457544.0,
+      "step": 4095
+    },
+    {
+      "entropy": 5.409591102600098,
+      "epoch": 3.3968516984258494,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004183120318868577,
+      "loss": 5.1616,
+      "mean_token_accuracy": 0.18774343580007552,
+      "num_tokens": 7465915.0,
+      "step": 4100
+    },
+    {
+      "entropy": 5.435869741439819,
+      "epoch": 3.4009942004971,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00041806553789480787,
+      "loss": 5.1161,
+      "mean_token_accuracy": 0.1833360970020294,
+      "num_tokens": 7474551.0,
+      "step": 4105
+    },
+    {
+      "entropy": 5.507905626296997,
+      "epoch": 3.405136702568351,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00041781875532393423,
+      "loss": 5.2287,
+      "mean_token_accuracy": 0.17473389357328414,
+      "num_tokens": 7483271.0,
+      "step": 4110
+    },
+    {
+      "entropy": 5.474280261993409,
+      "epoch": 3.4092792046396023,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00041757168467202404,
+      "loss": 5.2371,
+      "mean_token_accuracy": 0.17051266878843307,
+      "num_tokens": 7493179.0,
+      "step": 4115
+    },
+    {
+      "entropy": 5.47375521659851,
+      "epoch": 3.4134217067108534,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00041732432643744576,
+      "loss": 5.2132,
+      "mean_token_accuracy": 0.17562344074249267,
+      "num_tokens": 7501858.0,
+      "step": 4120
+    },
+    {
+      "entropy": 5.562008953094482,
+      "epoch": 3.4175642087821045,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004170766811191481,
+      "loss": 5.282,
+      "mean_token_accuracy": 0.16895801872014998,
+      "num_tokens": 7511817.0,
+      "step": 4125
+    },
+    {
+      "entropy": 5.3949895858764645,
+      "epoch": 3.421706710853355,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.0004168287492166587,
+      "loss": 5.2513,
+      "mean_token_accuracy": 0.175115604698658,
+      "num_tokens": 7521655.0,
+      "step": 4130
+    },
+    {
+      "entropy": 5.478516006469727,
+      "epoch": 3.4258492129246063,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041658053123008325,
+      "loss": 5.2289,
+      "mean_token_accuracy": 0.17174260020256044,
+      "num_tokens": 7531321.0,
+      "step": 4135
+    },
+    {
+      "entropy": 5.469200515747071,
+      "epoch": 3.4299917149958574,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004163320276601046,
+      "loss": 5.2104,
+      "mean_token_accuracy": 0.17538849860429764,
+      "num_tokens": 7540613.0,
+      "step": 4140
+    },
+    {
+      "entropy": 5.478423690795898,
+      "epoch": 3.4341342170671085,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004160832390079816,
+      "loss": 5.2823,
+      "mean_token_accuracy": 0.17514234632253647,
+      "num_tokens": 7549598.0,
+      "step": 4145
+    },
+    {
+      "entropy": 5.449503993988037,
+      "epoch": 3.4382767191383596,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00041583416577554815,
+      "loss": 5.1509,
+      "mean_token_accuracy": 0.18169643133878707,
+      "num_tokens": 7558738.0,
+      "step": 4150
+    },
+    {
+      "entropy": 5.454873323440552,
+      "epoch": 3.4424192212096107,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041558480846521213,
+      "loss": 5.1996,
+      "mean_token_accuracy": 0.17627429366111755,
+      "num_tokens": 7566873.0,
+      "step": 4155
+    },
+    {
+      "entropy": 5.413073778152466,
+      "epoch": 3.446561723280862,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041533516757995455,
+      "loss": 5.18,
+      "mean_token_accuracy": 0.1794169783592224,
+      "num_tokens": 7576645.0,
+      "step": 4160
+    },
+    {
+      "entropy": 5.449489498138428,
+      "epoch": 3.4507042253521125,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004150852436233283,
+      "loss": 5.1844,
+      "mean_token_accuracy": 0.17338148206472398,
+      "num_tokens": 7584854.0,
+      "step": 4165
+    },
+    {
+      "entropy": 5.500524044036865,
+      "epoch": 3.4548467274233636,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004148350370994574,
+      "loss": 5.3142,
+      "mean_token_accuracy": 0.16781232208013536,
+      "num_tokens": 7594022.0,
+      "step": 4170
+    },
+    {
+      "entropy": 5.458495187759399,
+      "epoch": 3.4589892294946147,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004145845485130357,
+      "loss": 5.1757,
+      "mean_token_accuracy": 0.17461147904396057,
+      "num_tokens": 7603259.0,
+      "step": 4175
+    },
+    {
+      "entropy": 5.453242301940918,
+      "epoch": 3.463131731565866,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00041433377836932594,
+      "loss": 5.2853,
+      "mean_token_accuracy": 0.1680028423666954,
+      "num_tokens": 7613451.0,
+      "step": 4180
+    },
+    {
+      "entropy": 5.533868455886841,
+      "epoch": 3.467274233637117,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00041408272717415913,
+      "loss": 5.245,
+      "mean_token_accuracy": 0.17225596755743028,
+      "num_tokens": 7622218.0,
+      "step": 4185
+    },
+    {
+      "entropy": 5.351213121414185,
+      "epoch": 3.4714167357083676,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004138313954339327,
+      "loss": 5.104,
+      "mean_token_accuracy": 0.17463669180870056,
+      "num_tokens": 7630508.0,
+      "step": 4190
+    },
+    {
+      "entropy": 5.488496780395508,
+      "epoch": 3.4755592377796187,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004135797836556106,
+      "loss": 5.1982,
+      "mean_token_accuracy": 0.181541608273983,
+      "num_tokens": 7640141.0,
+      "step": 4195
+    },
+    {
+      "entropy": 5.459699392318726,
+      "epoch": 3.47970173985087,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041332789234672094,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1721531167626381,
+      "num_tokens": 7648764.0,
+      "step": 4200
+    },
+    {
+      "entropy": 5.406872129440307,
+      "epoch": 3.483844241922121,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004130757220153561,
+      "loss": 5.1952,
+      "mean_token_accuracy": 0.18173792064189911,
+      "num_tokens": 7658642.0,
+      "step": 4205
+    },
+    {
+      "entropy": 5.544135618209839,
+      "epoch": 3.487986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004128232731701712,
+      "loss": 5.377,
+      "mean_token_accuracy": 0.16519460082054138,
+      "num_tokens": 7667524.0,
+      "step": 4210
+    },
+    {
+      "entropy": 5.488169002532959,
+      "epoch": 3.492129246064623,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004125705463203833,
+      "loss": 5.1928,
+      "mean_token_accuracy": 0.18297115415334703,
+      "num_tokens": 7675800.0,
+      "step": 4215
+    },
+    {
+      "entropy": 5.490040969848633,
+      "epoch": 3.4962717481358743,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041231754197576986,
+      "loss": 5.2252,
+      "mean_token_accuracy": 0.1757526621222496,
+      "num_tokens": 7683742.0,
+      "step": 4220
+    },
+    {
+      "entropy": 5.468280076980591,
+      "epoch": 3.5004142502071254,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004120642606466685,
+      "loss": 5.2278,
+      "mean_token_accuracy": 0.1796238511800766,
+      "num_tokens": 7692379.0,
+      "step": 4225
+    },
+    {
+      "entropy": 5.494374942779541,
+      "epoch": 3.504556752278376,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004118107028439751,
+      "loss": 5.2138,
+      "mean_token_accuracy": 0.17588699012994766,
+      "num_tokens": 7702156.0,
+      "step": 4230
+    },
+    {
+      "entropy": 5.467664003372192,
+      "epoch": 3.508699254349627,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00041155686907914365,
+      "loss": 5.2275,
+      "mean_token_accuracy": 0.1754150867462158,
+      "num_tokens": 7712135.0,
+      "step": 4235
+    },
+    {
+      "entropy": 5.451332426071167,
+      "epoch": 3.5128417564208783,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004113027598641845,
+      "loss": 5.1785,
+      "mean_token_accuracy": 0.1752738744020462,
+      "num_tokens": 7721347.0,
+      "step": 4240
+    },
+    {
+      "entropy": 5.471200275421142,
+      "epoch": 3.5169842584921294,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004110483757116637,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.1789921909570694,
+      "num_tokens": 7731351.0,
+      "step": 4245
+    },
+    {
+      "entropy": 5.433224248886108,
+      "epoch": 3.52112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00041079371713470195,
+      "loss": 5.0996,
+      "mean_token_accuracy": 0.18778069019317628,
+      "num_tokens": 7740413.0,
+      "step": 4250
+    },
+    {
+      "entropy": 5.416608476638794,
+      "epoch": 3.525269262634631,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041053878464697343,
+      "loss": 5.1977,
+      "mean_token_accuracy": 0.18009850829839708,
+      "num_tokens": 7749319.0,
+      "step": 4255
+    },
+    {
+      "entropy": 5.519042015075684,
+      "epoch": 3.5294117647058822,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004102835787627047,
+      "loss": 5.2446,
+      "mean_token_accuracy": 0.17312991321086885,
+      "num_tokens": 7757936.0,
+      "step": 4260
+    },
+    {
+      "entropy": 5.542943048477173,
+      "epoch": 3.5335542667771334,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004100280999966741,
+      "loss": 5.3083,
+      "mean_token_accuracy": 0.17331433892250062,
+      "num_tokens": 7767349.0,
+      "step": 4265
+    },
+    {
+      "entropy": 5.4042651653289795,
+      "epoch": 3.5376967688483845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00040977234886421007,
+      "loss": 5.1133,
+      "mean_token_accuracy": 0.17731781899929047,
+      "num_tokens": 7776448.0,
+      "step": 4270
+    },
+    {
+      "entropy": 5.4222177028656,
+      "epoch": 3.5418392709196356,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040951632588119064,
+      "loss": 5.209,
+      "mean_token_accuracy": 0.17401482313871383,
+      "num_tokens": 7785768.0,
+      "step": 4275
+    },
+    {
+      "entropy": 5.600345802307129,
+      "epoch": 3.5459817729908867,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004092600315640422,
+      "loss": 5.2999,
+      "mean_token_accuracy": 0.1715576618909836,
+      "num_tokens": 7794803.0,
+      "step": 4280
+    },
+    {
+      "entropy": 5.411063814163208,
+      "epoch": 3.550124275062138,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004090034664297382,
+      "loss": 5.157,
+      "mean_token_accuracy": 0.17963247746229172,
+      "num_tokens": 7803533.0,
+      "step": 4285
+    },
+    {
+      "entropy": 5.421855831146241,
+      "epoch": 3.5542667771333885,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00040874663099579883,
+      "loss": 5.2246,
+      "mean_token_accuracy": 0.1706953912973404,
+      "num_tokens": 7812854.0,
+      "step": 4290
+    },
+    {
+      "entropy": 5.49954047203064,
+      "epoch": 3.5584092792046396,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040848952578028915,
+      "loss": 5.1628,
+      "mean_token_accuracy": 0.174958436191082,
+      "num_tokens": 7821683.0,
+      "step": 4295
+    },
+    {
+      "entropy": 5.501424264907837,
+      "epoch": 3.5625517812758907,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004082321513018183,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.18335361480712892,
+      "num_tokens": 7830967.0,
+      "step": 4300
+    },
+    {
+      "entropy": 5.48747296333313,
+      "epoch": 3.566694283347142,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00040797450807953897,
+      "loss": 5.2159,
+      "mean_token_accuracy": 0.17444179207086563,
+      "num_tokens": 7841179.0,
+      "step": 4305
+    },
+    {
+      "entropy": 5.489819192886353,
+      "epoch": 3.5708367854183924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004077165966331454,
+      "loss": 5.1587,
+      "mean_token_accuracy": 0.1852751389145851,
+      "num_tokens": 7849841.0,
+      "step": 4310
+    },
+    {
+      "entropy": 5.301797342300415,
+      "epoch": 3.5749792874896436,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004074584174828735,
+      "loss": 5.2184,
+      "mean_token_accuracy": 0.1747626096010208,
+      "num_tokens": 7859390.0,
+      "step": 4315
+    },
+    {
+      "entropy": 5.493851947784424,
+      "epoch": 3.5791217895608947,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040719997114949856,
+      "loss": 5.1913,
+      "mean_token_accuracy": 0.17565421015024185,
+      "num_tokens": 7868848.0,
+      "step": 4320
+    },
+    {
+      "entropy": 5.506833124160766,
+      "epoch": 3.5832642916321458,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040694125815433533,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.18058759868144988,
+      "num_tokens": 7877521.0,
+      "step": 4325
+    },
+    {
+      "entropy": 5.488465976715088,
+      "epoch": 3.587406793703397,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004066822790192359,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.17181889414787294,
+      "num_tokens": 7886355.0,
+      "step": 4330
+    },
+    {
+      "entropy": 5.437413024902344,
+      "epoch": 3.591549295774648,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00040642303426658967,
+      "loss": 5.2518,
+      "mean_token_accuracy": 0.17224401384592056,
+      "num_tokens": 7895028.0,
+      "step": 4335
+    },
+    {
+      "entropy": 5.379445266723633,
+      "epoch": 3.595691797845899,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040616352441932163,
+      "loss": 5.1282,
+      "mean_token_accuracy": 0.17695483118295668,
+      "num_tokens": 7904192.0,
+      "step": 4340
+    },
+    {
+      "entropy": 5.439553546905517,
+      "epoch": 3.59983429991715,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00040590375000089146,
+      "loss": 5.2066,
+      "mean_token_accuracy": 0.17032651007175445,
+      "num_tokens": 7912328.0,
+      "step": 4345
+    },
+    {
+      "entropy": 5.5121315002441404,
+      "epoch": 3.603976801988401,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00040564371153529256,
+      "loss": 5.2517,
+      "mean_token_accuracy": 0.1720314145088196,
+      "num_tokens": 7922594.0,
+      "step": 4350
+    },
+    {
+      "entropy": 5.450373315811158,
+      "epoch": 3.608119304059652,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004053834095470509,
+      "loss": 5.2201,
+      "mean_token_accuracy": 0.16222715824842454,
+      "num_tokens": 7932345.0,
+      "step": 4355
+    },
+    {
+      "entropy": 5.505369853973389,
+      "epoch": 3.612261806130903,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00040512284456122407,
+      "loss": 5.2236,
+      "mean_token_accuracy": 0.17660728394985198,
+      "num_tokens": 7942800.0,
+      "step": 4360
+    },
+    {
+      "entropy": 5.410261583328247,
+      "epoch": 3.616404308202154,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00040486201710340016,
+      "loss": 5.1287,
+      "mean_token_accuracy": 0.1859680861234665,
+      "num_tokens": 7951094.0,
+      "step": 4365
+    },
+    {
+      "entropy": 5.429905796051026,
+      "epoch": 3.6205468102734053,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040460092769969654,
+      "loss": 5.1947,
+      "mean_token_accuracy": 0.17089750617742538,
+      "num_tokens": 7960652.0,
+      "step": 4370
+    },
+    {
+      "entropy": 5.518308162689209,
+      "epoch": 3.624689312344656,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004043395768767592,
+      "loss": 5.2977,
+      "mean_token_accuracy": 0.16983983814716339,
+      "num_tokens": 7969350.0,
+      "step": 4375
+    },
+    {
+      "entropy": 5.475090789794922,
+      "epoch": 3.628831814415907,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004040779651617612,
+      "loss": 5.1831,
+      "mean_token_accuracy": 0.1762356474995613,
+      "num_tokens": 7978969.0,
+      "step": 4380
+    },
+    {
+      "entropy": 5.422111892700196,
+      "epoch": 3.632974316487158,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040381609308240207,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.1777448311448097,
+      "num_tokens": 7988531.0,
+      "step": 4385
+    },
+    {
+      "entropy": 5.423072242736817,
+      "epoch": 3.6371168185584093,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040355396116690634,
+      "loss": 5.1864,
+      "mean_token_accuracy": 0.17186058908700944,
+      "num_tokens": 7996576.0,
+      "step": 4390
+    },
+    {
+      "entropy": 5.435235500335693,
+      "epoch": 3.6412593206296604,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004032915699440227,
+      "loss": 5.2216,
+      "mean_token_accuracy": 0.17088689655065536,
+      "num_tokens": 8006279.0,
+      "step": 4395
+    },
+    {
+      "entropy": 5.496079921722412,
+      "epoch": 3.6454018227009115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000403028919943023,
+      "loss": 5.2049,
+      "mean_token_accuracy": 0.17314011603593826,
+      "num_tokens": 8015476.0,
+      "step": 4400
+    },
+    {
+      "entropy": 5.474205350875854,
+      "epoch": 3.6495443247721626,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004027660116937009,
+      "loss": 5.2326,
+      "mean_token_accuracy": 0.17077937126159667,
+      "num_tokens": 8025450.0,
+      "step": 4405
+    },
+    {
+      "entropy": 5.4402251720428465,
+      "epoch": 3.6536868268434133,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004025028457263712,
+      "loss": 5.2238,
+      "mean_token_accuracy": 0.17810273319482803,
+      "num_tokens": 8034850.0,
+      "step": 4410
+    },
+    {
+      "entropy": 5.3980237483978275,
+      "epoch": 3.6578293289146644,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004022394225718684,
+      "loss": 5.1709,
+      "mean_token_accuracy": 0.17368220686912536,
+      "num_tokens": 8044526.0,
+      "step": 4415
+    },
+    {
+      "entropy": 5.446775197982788,
+      "epoch": 3.6619718309859155,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004019757427615456,
+      "loss": 5.1341,
+      "mean_token_accuracy": 0.17317759096622468,
+      "num_tokens": 8054033.0,
+      "step": 4420
+    },
+    {
+      "entropy": 5.478370094299317,
+      "epoch": 3.6661143330571666,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0004017118068272739,
+      "loss": 5.2298,
+      "mean_token_accuracy": 0.17926038503646852,
+      "num_tokens": 8063535.0,
+      "step": 4425
+    },
+    {
+      "entropy": 5.495908880233765,
+      "epoch": 3.6702568351284177,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040144761530144096,
+      "loss": 5.2181,
+      "mean_token_accuracy": 0.18870080262422562,
+      "num_tokens": 8073079.0,
+      "step": 4430
+    },
+    {
+      "entropy": 5.367459678649903,
+      "epoch": 3.6743993371996684,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00040118316871695,
+      "loss": 5.1505,
+      "mean_token_accuracy": 0.18230827152729034,
+      "num_tokens": 8082925.0,
+      "step": 4435
+    },
+    {
+      "entropy": 5.457099437713623,
+      "epoch": 3.6785418392709195,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040091846760721857,
+      "loss": 5.2466,
+      "mean_token_accuracy": 0.17278454601764678,
+      "num_tokens": 8092038.0,
+      "step": 4440
+    },
+    {
+      "entropy": 5.460009002685547,
+      "epoch": 3.6826843413421706,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040065351250617774,
+      "loss": 5.2137,
+      "mean_token_accuracy": 0.1679331600666046,
+      "num_tokens": 8101581.0,
+      "step": 4445
+    },
+    {
+      "entropy": 5.392482471466065,
+      "epoch": 3.6868268434134217,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00040038830394827107,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.17032679468393325,
+      "num_tokens": 8111392.0,
+      "step": 4450
+    },
+    {
+      "entropy": 5.5369532108306885,
+      "epoch": 3.690969345484673,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000400122842468453,
+      "loss": 5.2742,
+      "mean_token_accuracy": 0.16916199624538422,
+      "num_tokens": 8120941.0,
+      "step": 4455
+    },
+    {
+      "entropy": 5.403111267089844,
+      "epoch": 3.695111847555924,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003998571286021884,
+      "loss": 5.1822,
+      "mean_token_accuracy": 0.1721450611948967,
+      "num_tokens": 8129983.0,
+      "step": 4460
+    },
+    {
+      "entropy": 5.482623481750489,
+      "epoch": 3.699254349627175,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003995911628854512,
+      "loss": 5.3064,
+      "mean_token_accuracy": 0.1740827202796936,
+      "num_tokens": 8139428.0,
+      "step": 4465
+    },
+    {
+      "entropy": 5.509563970565796,
+      "epoch": 3.7033968516984257,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003993249458547234,
+      "loss": 5.2302,
+      "mean_token_accuracy": 0.16980735808610917,
+      "num_tokens": 8148520.0,
+      "step": 4470
+    },
+    {
+      "entropy": 5.3746521949768065,
+      "epoch": 3.707539353769677,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039905847804699363,
+      "loss": 5.0676,
+      "mean_token_accuracy": 0.18766331672668457,
+      "num_tokens": 8156908.0,
+      "step": 4475
+    },
+    {
+      "entropy": 5.446433591842651,
+      "epoch": 3.711681855840928,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00039879175999975677,
+      "loss": 5.2156,
+      "mean_token_accuracy": 0.18001207262277602,
+      "num_tokens": 8165677.0,
+      "step": 4480
+    },
+    {
+      "entropy": 5.386814975738526,
+      "epoch": 3.715824357912179,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00039852479225101217,
+      "loss": 5.1883,
+      "mean_token_accuracy": 0.17356531620025634,
+      "num_tokens": 8174786.0,
+      "step": 4485
+    },
+    {
+      "entropy": 5.454575872421264,
+      "epoch": 3.71996685998343,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00039825757533926305,
+      "loss": 5.2484,
+      "mean_token_accuracy": 0.16340016275644303,
+      "num_tokens": 8184150.0,
+      "step": 4490
+    },
+    {
+      "entropy": 5.4400050163269045,
+      "epoch": 3.724109362054681,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039799010980351494,
+      "loss": 5.1455,
+      "mean_token_accuracy": 0.1879016414284706,
+      "num_tokens": 8192257.0,
+      "step": 4495
+    },
+    {
+      "entropy": 5.452324247360229,
+      "epoch": 3.728251864125932,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00039772239618327535,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.1748780906200409,
+      "num_tokens": 8201041.0,
+      "step": 4500
+    },
+    {
+      "epoch": 3.728251864125932,
+      "eval_entropy": 5.297962182620441,
+      "eval_loss": 5.854063987731934,
+      "eval_mean_token_accuracy": 0.15576711011085428,
+      "eval_num_tokens": 8201041.0,
+      "eval_runtime": 2.7449,
+      "eval_samples_per_second": 1365.057,
+      "eval_steps_per_second": 170.86,
+      "step": 4500
+    },
+    {
+      "entropy": 5.430630874633789,
+      "epoch": 3.732394366197183,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00039745443501855156,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18020173758268357,
+      "num_tokens": 8209881.0,
+      "step": 4505
+    },
+    {
+      "entropy": 5.426507759094238,
+      "epoch": 3.736536868268434,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039718622684985075,
+      "loss": 5.2198,
+      "mean_token_accuracy": 0.1857784554362297,
+      "num_tokens": 8218504.0,
+      "step": 4510
+    },
+    {
+      "entropy": 5.427436780929566,
+      "epoch": 3.7406793703396852,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000396917772218178,
+      "loss": 5.0397,
+      "mean_token_accuracy": 0.19483556151390075,
+      "num_tokens": 8226785.0,
+      "step": 4515
+    },
+    {
+      "entropy": 5.463036251068115,
+      "epoch": 3.7448218724109363,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0003966490716650357,
+      "loss": 5.1879,
+      "mean_token_accuracy": 0.1808652698993683,
+      "num_tokens": 8236092.0,
+      "step": 4520
+    },
+    {
+      "entropy": 5.398115777969361,
+      "epoch": 3.7489643744821874,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039638012573242225,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18426763266324997,
+      "num_tokens": 8245297.0,
+      "step": 4525
+    },
+    {
+      "entropy": 5.498414611816406,
+      "epoch": 3.7531068765534386,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003961109349628309,
+      "loss": 5.2544,
+      "mean_token_accuracy": 0.16994525790214537,
+      "num_tokens": 8254772.0,
+      "step": 4530
+    },
+    {
+      "entropy": 5.488787031173706,
+      "epoch": 3.757249378624689,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000395841499899249,
+      "loss": 5.3168,
+      "mean_token_accuracy": 0.1684611275792122,
+      "num_tokens": 8264310.0,
+      "step": 4535
+    },
+    {
+      "entropy": 5.4844201564788815,
+      "epoch": 3.7613918806959403,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00039557182108515624,
+      "loss": 5.2197,
+      "mean_token_accuracy": 0.1802253693342209,
+      "num_tokens": 8274184.0,
+      "step": 4540
+    },
+    {
+      "entropy": 5.40406289100647,
+      "epoch": 3.7655343827671914,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039530189906452457,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.18066346347332002,
+      "num_tokens": 8283151.0,
+      "step": 4545
+    },
+    {
+      "entropy": 5.490919494628907,
+      "epoch": 3.7696768848384425,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00039503173438181605,
+      "loss": 5.2375,
+      "mean_token_accuracy": 0.16958207488059998,
+      "num_tokens": 8292574.0,
+      "step": 4550
+    },
+    {
+      "entropy": 5.37688570022583,
+      "epoch": 3.773819386909693,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039476132758198236,
+      "loss": 5.1589,
+      "mean_token_accuracy": 0.17906700521707536,
+      "num_tokens": 8301281.0,
+      "step": 4555
+    },
+    {
+      "entropy": 5.404768991470337,
+      "epoch": 3.7779618889809443,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039449067921046353,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.184201979637146,
+      "num_tokens": 8310201.0,
+      "step": 4560
+    },
+    {
+      "entropy": 5.5153802871704105,
+      "epoch": 3.7821043910521954,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00039421978981318703,
+      "loss": 5.243,
+      "mean_token_accuracy": 0.17428653091192245,
+      "num_tokens": 8320369.0,
+      "step": 4565
+    },
+    {
+      "entropy": 5.490174674987793,
+      "epoch": 3.7862468931234465,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00039394865993656625,
+      "loss": 5.2332,
+      "mean_token_accuracy": 0.17829314470291138,
+      "num_tokens": 8329519.0,
+      "step": 4570
+    },
+    {
+      "entropy": 5.4183516025543215,
+      "epoch": 3.7903893951946976,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003936772901274999,
+      "loss": 5.2233,
+      "mean_token_accuracy": 0.16786337196826934,
+      "num_tokens": 8338282.0,
+      "step": 4575
+    },
+    {
+      "entropy": 5.422275066375732,
+      "epoch": 3.7945318972659487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003934056809333705,
+      "loss": 5.2367,
+      "mean_token_accuracy": 0.1760738953948021,
+      "num_tokens": 8346861.0,
+      "step": 4580
+    },
+    {
+      "entropy": 5.493864250183106,
+      "epoch": 3.7986743993372,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039313383290204333,
+      "loss": 5.2689,
+      "mean_token_accuracy": 0.16675272732973098,
+      "num_tokens": 8356078.0,
+      "step": 4585
+    },
+    {
+      "entropy": 5.449766826629639,
+      "epoch": 3.802816901408451,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003928617465818658,
+      "loss": 5.2279,
+      "mean_token_accuracy": 0.16728012412786483,
+      "num_tokens": 8365487.0,
+      "step": 4590
+    },
+    {
+      "entropy": 5.477828598022461,
+      "epoch": 3.8069594034797016,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00039258942252166554,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.17344195693731307,
+      "num_tokens": 8374622.0,
+      "step": 4595
+    },
+    {
+      "entropy": 5.467281007766724,
+      "epoch": 3.8111019055509527,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003923168612707502,
+      "loss": 5.1437,
+      "mean_token_accuracy": 0.1838704138994217,
+      "num_tokens": 8383312.0,
+      "step": 4600
+    },
+    {
+      "entropy": 5.375951862335205,
+      "epoch": 3.815244407622204,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003920440633789053,
+      "loss": 5.1668,
+      "mean_token_accuracy": 0.17426021844148637,
+      "num_tokens": 8391987.0,
+      "step": 4605
+    },
+    {
+      "entropy": 5.411648225784302,
+      "epoch": 3.819386909693455,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039177102939639424,
+      "loss": 5.1782,
+      "mean_token_accuracy": 0.17309755831956863,
+      "num_tokens": 8401263.0,
+      "step": 4610
+    },
+    {
+      "entropy": 5.520602798461914,
+      "epoch": 3.8235294117647056,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003914977598739563,
+      "loss": 5.1998,
+      "mean_token_accuracy": 0.18663258850574493,
+      "num_tokens": 8410110.0,
+      "step": 4615
+    },
+    {
+      "entropy": 5.505752420425415,
+      "epoch": 3.8276719138359567,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003912242553628059,
+      "loss": 5.2827,
+      "mean_token_accuracy": 0.16937017440795898,
+      "num_tokens": 8419321.0,
+      "step": 4620
+    },
+    {
+      "entropy": 5.470319938659668,
+      "epoch": 3.831814415907208,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003909505164146318,
+      "loss": 5.2512,
+      "mean_token_accuracy": 0.17635022550821305,
+      "num_tokens": 8428376.0,
+      "step": 4625
+    },
+    {
+      "entropy": 5.446829080581665,
+      "epoch": 3.835956917978459,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000390676543581595,
+      "loss": 5.1826,
+      "mean_token_accuracy": 0.1743323564529419,
+      "num_tokens": 8437263.0,
+      "step": 4630
+    },
+    {
+      "entropy": 5.361465311050415,
+      "epoch": 3.84009942004971,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003904023374163289,
+      "loss": 5.1943,
+      "mean_token_accuracy": 0.17949013262987137,
+      "num_tokens": 8445889.0,
+      "step": 4635
+    },
+    {
+      "entropy": 5.503735971450806,
+      "epoch": 3.844241922120961,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003901278984719372,
+      "loss": 5.3739,
+      "mean_token_accuracy": 0.16415481567382811,
+      "num_tokens": 8456086.0,
+      "step": 4640
+    },
+    {
+      "entropy": 5.492273569107056,
+      "epoch": 3.8483844241922123,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00038985322730199326,
+      "loss": 5.2018,
+      "mean_token_accuracy": 0.1795567825436592,
+      "num_tokens": 8465150.0,
+      "step": 4645
+    },
+    {
+      "entropy": 5.431647396087646,
+      "epoch": 3.8525269262634634,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003895783244605389,
+      "loss": 5.2783,
+      "mean_token_accuracy": 0.1720671087503433,
+      "num_tokens": 8474172.0,
+      "step": 4650
+    },
+    {
+      "entropy": 5.404905462265015,
+      "epoch": 3.856669428334714,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00038930319050208315,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.18708953112363816,
+      "num_tokens": 8483636.0,
+      "step": 4655
+    },
+    {
+      "entropy": 5.408392810821534,
+      "epoch": 3.860811930405965,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00038902782598160127,
+      "loss": 5.1091,
+      "mean_token_accuracy": 0.1881578117609024,
+      "num_tokens": 8491560.0,
+      "step": 4660
+    },
+    {
+      "entropy": 5.484521150588989,
+      "epoch": 3.8649544324772163,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00038875223145453346,
+      "loss": 5.4046,
+      "mean_token_accuracy": 0.17662398070096968,
+      "num_tokens": 8501685.0,
+      "step": 4665
+    },
+    {
+      "entropy": 5.551066589355469,
+      "epoch": 3.8690969345484674,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003884764074767842,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.17176942974328996,
+      "num_tokens": 8510580.0,
+      "step": 4670
+    },
+    {
+      "entropy": 5.477302551269531,
+      "epoch": 3.873239436619718,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003882003546047205,
+      "loss": 5.2013,
+      "mean_token_accuracy": 0.17522621154785156,
+      "num_tokens": 8519595.0,
+      "step": 4675
+    },
+    {
+      "entropy": 5.506098508834839,
+      "epoch": 3.877381938690969,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00038792407339517123,
+      "loss": 5.2786,
+      "mean_token_accuracy": 0.17400375306606292,
+      "num_tokens": 8529118.0,
+      "step": 4680
+    },
+    {
+      "entropy": 5.507658243179321,
+      "epoch": 3.8815244407622203,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00038764756440542574,
+      "loss": 5.2477,
+      "mean_token_accuracy": 0.17185091674327851,
+      "num_tokens": 8539322.0,
+      "step": 4685
+    },
+    {
+      "entropy": 5.454025650024414,
+      "epoch": 3.8856669428334714,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038737082819323285,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.17740404605865479,
+      "num_tokens": 8548707.0,
+      "step": 4690
+    },
+    {
+      "entropy": 5.427890157699585,
+      "epoch": 3.8898094449047225,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00038709386531679974,
+      "loss": 5.2576,
+      "mean_token_accuracy": 0.1718251511454582,
+      "num_tokens": 8557500.0,
+      "step": 4695
+    },
+    {
+      "entropy": 5.436252593994141,
+      "epoch": 3.8939519469759736,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00038681667633479086,
+      "loss": 5.2621,
+      "mean_token_accuracy": 0.1682343602180481,
+      "num_tokens": 8567465.0,
+      "step": 4700
+    },
+    {
+      "entropy": 5.381856250762939,
+      "epoch": 3.8980944490472247,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038653926180632665,
+      "loss": 5.1165,
+      "mean_token_accuracy": 0.18321423530578612,
+      "num_tokens": 8576680.0,
+      "step": 4705
+    },
+    {
+      "entropy": 5.495894527435302,
+      "epoch": 3.902236951118476,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00038626162229098257,
+      "loss": 5.2631,
+      "mean_token_accuracy": 0.16617788672447203,
+      "num_tokens": 8585539.0,
+      "step": 4710
+    },
+    {
+      "entropy": 5.400326347351074,
+      "epoch": 3.9063794531897265,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003859837583487877,
+      "loss": 5.1007,
+      "mean_token_accuracy": 0.18613590002059938,
+      "num_tokens": 8593598.0,
+      "step": 4715
+    },
+    {
+      "entropy": 5.4148589134216305,
+      "epoch": 3.9105219552609776,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003857056705402241,
+      "loss": 5.236,
+      "mean_token_accuracy": 0.1721765860915184,
+      "num_tokens": 8603440.0,
+      "step": 4720
+    },
+    {
+      "entropy": 5.384281969070434,
+      "epoch": 3.9146644573322287,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003854273594262253,
+      "loss": 5.0591,
+      "mean_token_accuracy": 0.1858549162745476,
+      "num_tokens": 8612490.0,
+      "step": 4725
+    },
+    {
+      "entropy": 5.387153816223145,
+      "epoch": 3.91880695940348,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003851488255681752,
+      "loss": 5.1508,
+      "mean_token_accuracy": 0.17980385273694993,
+      "num_tokens": 8621994.0,
+      "step": 4730
+    },
+    {
+      "entropy": 5.462166833877563,
+      "epoch": 3.922949461474731,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000384870069527907,
+      "loss": 5.2269,
+      "mean_token_accuracy": 0.16994049549102783,
+      "num_tokens": 8631185.0,
+      "step": 4735
+    },
+    {
+      "entropy": 5.445327711105347,
+      "epoch": 3.9270919635459816,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00038459109186770213,
+      "loss": 5.1201,
+      "mean_token_accuracy": 0.18937034606933595,
+      "num_tokens": 8639018.0,
+      "step": 4740
+    },
+    {
+      "entropy": 5.365725660324097,
+      "epoch": 3.9312344656172327,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00038431189315028905,
+      "loss": 5.1293,
+      "mean_token_accuracy": 0.1805494785308838,
+      "num_tokens": 8647672.0,
+      "step": 4745
+    },
+    {
+      "entropy": 5.42286114692688,
+      "epoch": 3.9353769676884838,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003840324739388419,
+      "loss": 5.2659,
+      "mean_token_accuracy": 0.16662627309560776,
+      "num_tokens": 8656638.0,
+      "step": 4750
+    },
+    {
+      "entropy": 5.4803203582763675,
+      "epoch": 3.939519469759735,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00038375283479698,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.18231208473443986,
+      "num_tokens": 8666167.0,
+      "step": 4755
+    },
+    {
+      "entropy": 5.505121231079102,
+      "epoch": 3.943661971830986,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003834729762887659,
+      "loss": 5.3067,
+      "mean_token_accuracy": 0.16447765678167342,
+      "num_tokens": 8676435.0,
+      "step": 4760
+    },
+    {
+      "entropy": 5.413615751266479,
+      "epoch": 3.947804473902237,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003831928989787049,
+      "loss": 5.1808,
+      "mean_token_accuracy": 0.18012969940900803,
+      "num_tokens": 8686011.0,
+      "step": 4765
+    },
+    {
+      "entropy": 5.463970613479614,
+      "epoch": 3.951946975973488,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003829126034317435,
+      "loss": 5.1959,
+      "mean_token_accuracy": 0.17213619947433473,
+      "num_tokens": 8695063.0,
+      "step": 4770
+    },
+    {
+      "entropy": 5.517300796508789,
+      "epoch": 3.956089478044739,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003826320902132684,
+      "loss": 5.299,
+      "mean_token_accuracy": 0.16880902647972107,
+      "num_tokens": 8704585.0,
+      "step": 4775
+    },
+    {
+      "entropy": 5.469470262527466,
+      "epoch": 3.96023198011599,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038235135988910545,
+      "loss": 5.2111,
+      "mean_token_accuracy": 0.17501715570688248,
+      "num_tokens": 8714097.0,
+      "step": 4780
+    },
+    {
+      "entropy": 5.433980226516724,
+      "epoch": 3.964374482187241,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00038207041302551844,
+      "loss": 5.1327,
+      "mean_token_accuracy": 0.1802523225545883,
+      "num_tokens": 8722890.0,
+      "step": 4785
+    },
+    {
+      "entropy": 5.36038613319397,
+      "epoch": 3.968516984258492,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003817892501892078,
+      "loss": 5.1474,
+      "mean_token_accuracy": 0.18226009160280227,
+      "num_tokens": 8732046.0,
+      "step": 4790
+    },
+    {
+      "entropy": 5.385818529129028,
+      "epoch": 3.9726594863297433,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038150787194730977,
+      "loss": 5.1867,
+      "mean_token_accuracy": 0.18098812699317932,
+      "num_tokens": 8741750.0,
+      "step": 4795
+    },
+    {
+      "entropy": 5.49769434928894,
+      "epoch": 3.976801988400994,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000381226278867395,
+      "loss": 5.1585,
+      "mean_token_accuracy": 0.17722393125295638,
+      "num_tokens": 8750141.0,
+      "step": 4800
+    },
+    {
+      "entropy": 5.3994584560394285,
+      "epoch": 3.980944490472245,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00038094447151746746,
+      "loss": 5.0956,
+      "mean_token_accuracy": 0.18723244071006775,
+      "num_tokens": 8758567.0,
+      "step": 4805
+    },
+    {
+      "entropy": 5.376461982727051,
+      "epoch": 3.985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003806624504659635,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1782562255859375,
+      "num_tokens": 8767829.0,
+      "step": 4810
+    },
+    {
+      "entropy": 5.416551733016968,
+      "epoch": 3.9892294946147473,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003803802162817503,
+      "loss": 5.0891,
+      "mean_token_accuracy": 0.18413031548261644,
+      "num_tokens": 8776911.0,
+      "step": 4815
+    },
+    {
+      "entropy": 5.403548002243042,
+      "epoch": 3.9933719966859984,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000380097769534125,
+      "loss": 5.2011,
+      "mean_token_accuracy": 0.18309975266456605,
+      "num_tokens": 8786117.0,
+      "step": 4820
+    },
+    {
+      "entropy": 5.401311016082763,
+      "epoch": 3.9975144987572495,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003798151107928136,
+      "loss": 5.1436,
+      "mean_token_accuracy": 0.18381998240947722,
+      "num_tokens": 8795647.0,
+      "step": 4825
+    },
+    {
+      "entropy": 5.363515567779541,
+      "epoch": 4.001657000828501,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00037953224062796967,
+      "loss": 5.1114,
+      "mean_token_accuracy": 0.18405449539422988,
+      "num_tokens": 8803480.0,
+      "step": 4830
+    },
+    {
+      "entropy": 5.504069137573242,
+      "epoch": 4.005799502899752,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003792491596101733,
+      "loss": 4.9454,
+      "mean_token_accuracy": 0.19255731254816055,
+      "num_tokens": 8812825.0,
+      "step": 4835
+    },
+    {
+      "entropy": 5.45196304321289,
+      "epoch": 4.009942004971003,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003789658683104298,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19097152799367906,
+      "num_tokens": 8821911.0,
+      "step": 4840
+    },
+    {
+      "entropy": 5.429521989822388,
+      "epoch": 4.014084507042254,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037868236730016866,
+      "loss": 4.9518,
+      "mean_token_accuracy": 0.18948255032300948,
+      "num_tokens": 8830691.0,
+      "step": 4845
+    },
+    {
+      "entropy": 5.400455188751221,
+      "epoch": 4.018227009113504,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037839865715124234,
+      "loss": 4.9281,
+      "mean_token_accuracy": 0.19010053426027299,
+      "num_tokens": 8840410.0,
+      "step": 4850
+    },
+    {
+      "entropy": 5.374143838882446,
+      "epoch": 4.022369511184755,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00037811473843592534,
+      "loss": 4.9042,
+      "mean_token_accuracy": 0.19410175532102586,
+      "num_tokens": 8849662.0,
+      "step": 4855
+    },
+    {
+      "entropy": 5.4465690612792965,
+      "epoch": 4.026512013256006,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00037783061172691273,
+      "loss": 4.8985,
+      "mean_token_accuracy": 0.19412659406661986,
+      "num_tokens": 8858666.0,
+      "step": 4860
+    },
+    {
+      "entropy": 5.497456216812134,
+      "epoch": 4.0306545153272575,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003775462775973191,
+      "loss": 4.9611,
+      "mean_token_accuracy": 0.1847592905163765,
+      "num_tokens": 8867885.0,
+      "step": 4865
+    },
+    {
+      "entropy": 5.351856470108032,
+      "epoch": 4.034797017398509,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003772617366206773,
+      "loss": 4.9175,
+      "mean_token_accuracy": 0.19424951672554017,
+      "num_tokens": 8877458.0,
+      "step": 4870
+    },
+    {
+      "entropy": 5.363556432723999,
+      "epoch": 4.03893951946976,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037697698937093783,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.18704084753990174,
+      "num_tokens": 8886995.0,
+      "step": 4875
+    },
+    {
+      "entropy": 5.463095617294312,
+      "epoch": 4.043082021541011,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00037669203642246685,
+      "loss": 5.026,
+      "mean_token_accuracy": 0.18413490056991577,
+      "num_tokens": 8895224.0,
+      "step": 4880
+    },
+    {
+      "entropy": 5.4529016494750975,
+      "epoch": 4.047224523612262,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00037640687835004567,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.1925043895840645,
+      "num_tokens": 8905216.0,
+      "step": 4885
+    },
+    {
+      "entropy": 5.426698875427246,
+      "epoch": 4.051367025683513,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003761215157288692,
+      "loss": 4.9558,
+      "mean_token_accuracy": 0.19299548715353013,
+      "num_tokens": 8915493.0,
+      "step": 4890
+    },
+    {
+      "entropy": 5.362393617630005,
+      "epoch": 4.055509527754764,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00037583594913454514,
+      "loss": 4.925,
+      "mean_token_accuracy": 0.1959809884428978,
+      "num_tokens": 8924740.0,
+      "step": 4895
+    },
+    {
+      "entropy": 5.42564959526062,
+      "epoch": 4.059652029826015,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003755501791430925,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.18527257889509202,
+      "num_tokens": 8934726.0,
+      "step": 4900
+    },
+    {
+      "entropy": 5.448423719406128,
+      "epoch": 4.063794531897266,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00037526420633094044,
+      "loss": 4.9581,
+      "mean_token_accuracy": 0.18748125433921814,
+      "num_tokens": 8944301.0,
+      "step": 4905
+    },
+    {
+      "entropy": 5.449982643127441,
+      "epoch": 4.067937033968517,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037497803127492757,
+      "loss": 4.9881,
+      "mean_token_accuracy": 0.19187170565128325,
+      "num_tokens": 8953967.0,
+      "step": 4910
+    },
+    {
+      "entropy": 5.326543855667114,
+      "epoch": 4.072079536039768,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003746916545523001,
+      "loss": 4.8948,
+      "mean_token_accuracy": 0.19177066087722777,
+      "num_tokens": 8962983.0,
+      "step": 4915
+    },
+    {
+      "entropy": 5.381871175765991,
+      "epoch": 4.076222038111019,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003744050767407113,
+      "loss": 5.0191,
+      "mean_token_accuracy": 0.18154184073209761,
+      "num_tokens": 8972019.0,
+      "step": 4920
+    },
+    {
+      "entropy": 5.40556058883667,
+      "epoch": 4.08036454018227,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0003741182984182198,
+      "loss": 4.901,
+      "mean_token_accuracy": 0.20234887301921844,
+      "num_tokens": 8981751.0,
+      "step": 4925
+    },
+    {
+      "entropy": 5.3616517066955565,
+      "epoch": 4.084507042253521,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003738313201632889,
+      "loss": 4.8923,
+      "mean_token_accuracy": 0.19780989587306977,
+      "num_tokens": 8990330.0,
+      "step": 4930
+    },
+    {
+      "entropy": 5.314311408996582,
+      "epoch": 4.088649544324772,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003735441425547851,
+      "loss": 4.905,
+      "mean_token_accuracy": 0.19072338491678237,
+      "num_tokens": 8998366.0,
+      "step": 4935
+    },
+    {
+      "entropy": 5.290538501739502,
+      "epoch": 4.092792046396023,
+      "grad_norm": 1.828125,
+      "learning_rate": 0.00037325676617197697,
+      "loss": 4.8317,
+      "mean_token_accuracy": 0.20186650305986403,
+      "num_tokens": 9006881.0,
+      "step": 4940
+    },
+    {
+      "entropy": 5.323595571517944,
+      "epoch": 4.096934548467274,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0003729691915945342,
+      "loss": 4.8944,
+      "mean_token_accuracy": 0.19853760153055192,
+      "num_tokens": 9015415.0,
+      "step": 4945
+    },
+    {
+      "entropy": 5.40374059677124,
+      "epoch": 4.1010770505385254,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000372681419402526,
+      "loss": 4.9483,
+      "mean_token_accuracy": 0.19546929001808167,
+      "num_tokens": 9024578.0,
+      "step": 4950
+    },
+    {
+      "entropy": 5.381409311294556,
+      "epoch": 4.105219552609777,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003723934501764203,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.1867024227976799,
+      "num_tokens": 9032637.0,
+      "step": 4955
+    },
+    {
+      "entropy": 5.395318984985352,
+      "epoch": 4.109362054681028,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0003721052844970826,
+      "loss": 4.8913,
+      "mean_token_accuracy": 0.18718749284744263,
+      "num_tokens": 9041513.0,
+      "step": 4960
+    },
+    {
+      "entropy": 5.394489192962647,
+      "epoch": 4.113504556752279,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00037181692294577457,
+      "loss": 4.9155,
+      "mean_token_accuracy": 0.1854037255048752,
+      "num_tokens": 9051024.0,
+      "step": 4965
+    },
+    {
+      "entropy": 5.33848295211792,
+      "epoch": 4.117647058823529,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037152836610415284,
+      "loss": 4.8895,
+      "mean_token_accuracy": 0.19274405539035797,
+      "num_tokens": 9059494.0,
+      "step": 4970
+    },
+    {
+      "entropy": 5.31979193687439,
+      "epoch": 4.12178956089478,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00037123961455426836,
+      "loss": 4.7988,
+      "mean_token_accuracy": 0.19865831583738328,
+      "num_tokens": 9068166.0,
+      "step": 4975
+    },
+    {
+      "entropy": 5.391095542907715,
+      "epoch": 4.125932062966031,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00037095066887856434,
+      "loss": 4.907,
+      "mean_token_accuracy": 0.19333944320678711,
+      "num_tokens": 9077283.0,
+      "step": 4980
+    },
+    {
+      "entropy": 5.3755443572998045,
+      "epoch": 4.130074565037282,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003706615296598758,
+      "loss": 4.9332,
+      "mean_token_accuracy": 0.19493403136730195,
+      "num_tokens": 9086605.0,
+      "step": 4985
+    },
+    {
+      "entropy": 5.301020622253418,
+      "epoch": 4.134217067108533,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003703721974814282,
+      "loss": 4.9169,
+      "mean_token_accuracy": 0.19399153292179108,
+      "num_tokens": 9095567.0,
+      "step": 4990
+    },
+    {
+      "entropy": 5.282594537734985,
+      "epoch": 4.1383595691797845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00037008267292683615,
+      "loss": 4.9012,
+      "mean_token_accuracy": 0.19265301078557967,
+      "num_tokens": 9104457.0,
+      "step": 4995
+    },
+    {
+      "entropy": 5.398877716064453,
+      "epoch": 4.142502071251036,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036979295658010227,
+      "loss": 4.9533,
+      "mean_token_accuracy": 0.20162091553211212,
+      "num_tokens": 9113945.0,
+      "step": 5000
+    },
+    {
+      "epoch": 4.142502071251036,
+      "eval_entropy": 5.273210916946184,
+      "eval_loss": 5.83656120300293,
+      "eval_mean_token_accuracy": 0.15772452866281272,
+      "eval_num_tokens": 9113945.0,
+      "eval_runtime": 2.9415,
+      "eval_samples_per_second": 1273.844,
+      "eval_steps_per_second": 159.443,
+      "step": 5000
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 12060,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.3616202348288e+16,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}
diff --git a/checkpoint-5000/training_args.bin b/checkpoint-5000/training_args.bin
new file mode 100644
index 0000000..47a7b32
--- /dev/null
+++ b/checkpoint-5000/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e406e906697be5d5c4bea7f90a038122ca162eb6b7e40512a32661ef55af9075
+size 6353
diff --git a/checkpoint-5500/added_tokens.json b/checkpoint-5500/added_tokens.json
new file mode 100644
index 0000000..b3dbcdb
--- /dev/null
+++ b/checkpoint-5500/added_tokens.json
@@ -0,0 +1,1202 @@
+{
+  "<pad>": 50002,
+  "[CLS]": 50000,
+  "[MASK]": 50003,
+  "[SEP]": 50001,
+  "[XXXXX0]": 50771,
+  "[XXXXX1000]": 50549,
+  "[XXXXX1001]": 50657,
+  "[XXXXX1002]": 51158,
+  "[XXXXX1003]": 51044,
+  "[XXXXX1004]": 50688,
+  "[XXXXX1005]": 50689,
+  "[XXXXX1006]": 50410,
+  "[XXXXX1007]": 50724,
+  "[XXXXX1008]": 50171,
+  "[XXXXX1009]": 51077,
+  "[XXXXX100]": 50091,
+  "[XXXXX1010]": 50639,
+  "[XXXXX1011]": 51094,
+  "[XXXXX1012]": 50392,
+  "[XXXXX1013]": 50626,
+  "[XXXXX1014]": 50991,
+  "[XXXXX1015]": 50529,
+  "[XXXXX1016]": 51193,
+  "[XXXXX1017]": 51073,
+  "[XXXXX1018]": 51104,
+  "[XXXXX1019]": 50775,
+  "[XXXXX101]": 50139,
+  "[XXXXX1020]": 50157,
+  "[XXXXX1021]": 50934,
+  "[XXXXX1022]": 51159,
+  "[XXXXX1023]": 50048,
+  "[XXXXX1024]": 51123,
+  "[XXXXX1025]": 50084,
+  "[XXXXX1026]": 50813,
+  "[XXXXX1027]": 50725,
+  "[XXXXX1028]": 50931,
+  "[XXXXX1029]": 50233,
+  "[XXXXX102]": 50213,
+  "[XXXXX1030]": 51023,
+  "[XXXXX1031]": 50098,
+  "[XXXXX1032]": 50802,
+  "[XXXXX1033]": 50061,
+  "[XXXXX1034]": 51139,
+  "[XXXXX1035]": 51110,
+  "[XXXXX1036]": 50204,
+  "[XXXXX1037]": 50023,
+  "[XXXXX1038]": 50142,
+  "[XXXXX1039]": 50328,
+  "[XXXXX103]": 50087,
+  "[XXXXX1040]": 50435,
+  "[XXXXX1041]": 50489,
+  "[XXXXX1042]": 50216,
+  "[XXXXX1043]": 50144,
+  "[XXXXX1044]": 50832,
+  "[XXXXX1045]": 50566,
+  "[XXXXX1046]": 50922,
+  "[XXXXX1047]": 50796,
+  "[XXXXX1048]": 50533,
+  "[XXXXX1049]": 50433,
+  "[XXXXX104]": 50478,
+  "[XXXXX1050]": 50953,
+  "[XXXXX1051]": 50497,
+  "[XXXXX1052]": 50655,
+  "[XXXXX1053]": 50881,
+  "[XXXXX1054]": 50461,
+  "[XXXXX1055]": 50052,
+  "[XXXXX1056]": 50219,
+  "[XXXXX1057]": 50789,
+  "[XXXXX1058]": 50121,
+  "[XXXXX1059]": 51002,
+  "[XXXXX105]": 51192,
+  "[XXXXX1060]": 50158,
+  "[XXXXX1061]": 50352,
+  "[XXXXX1062]": 50637,
+  "[XXXXX1063]": 50440,
+  "[XXXXX1064]": 50590,
+  "[XXXXX1065]": 51107,
+  "[XXXXX1066]": 50758,
+  "[XXXXX1067]": 51011,
+  "[XXXXX1068]": 50985,
+  "[XXXXX1069]": 51175,
+  "[XXXXX106]": 50532,
+  "[XXXXX1070]": 50790,
+  "[XXXXX1071]": 50394,
+  "[XXXXX1072]": 50852,
+  "[XXXXX1073]": 50869,
+  "[XXXXX1074]": 50126,
+  "[XXXXX1075]": 50783,
+  "[XXXXX1076]": 50806,
+  "[XXXXX1077]": 50882,
+  "[XXXXX1078]": 50726,
+  "[XXXXX1079]": 51010,
+  "[XXXXX107]": 50714,
+  "[XXXXX1080]": 50168,
+  "[XXXXX1081]": 50425,
+  "[XXXXX1082]": 50848,
+  "[XXXXX1083]": 50014,
+  "[XXXXX1084]": 50341,
+  "[XXXXX1085]": 50734,
+  "[XXXXX1086]": 50664,
+  "[XXXXX1087]": 51007,
+  "[XXXXX1088]": 51151,
+  "[XXXXX1089]": 50269,
+  "[XXXXX108]": 50996,
+  "[XXXXX1090]": 50826,
+  "[XXXXX1091]": 51105,
+  "[XXXXX1092]": 50731,
+  "[XXXXX1093]": 50856,
+  "[XXXXX1094]": 50369,
+  "[XXXXX1095]": 50065,
+  "[XXXXX1096]": 50309,
+  "[XXXXX1097]": 50838,
+  "[XXXXX1098]": 50451,
+  "[XXXXX1099]": 50384,
+  "[XXXXX109]": 50543,
+  "[XXXXX10]": 50325,
+  "[XXXXX1100]": 50318,
+  "[XXXXX1101]": 50764,
+  "[XXXXX1102]": 51025,
+  "[XXXXX1103]": 50642,
+  "[XXXXX1104]": 50665,
+  "[XXXXX1105]": 50855,
+  "[XXXXX1106]": 51063,
+  "[XXXXX1107]": 50025,
+  "[XXXXX1108]": 50122,
+  "[XXXXX1109]": 50470,
+  "[XXXXX110]": 50062,
+  "[XXXXX1110]": 51019,
+  "[XXXXX1111]": 51124,
+  "[XXXXX1112]": 50146,
+  "[XXXXX1113]": 51125,
+  "[XXXXX1114]": 50434,
+  "[XXXXX1115]": 50818,
+  "[XXXXX1116]": 50960,
+  "[XXXXX1117]": 50258,
+  "[XXXXX1118]": 50596,
+  "[XXXXX1119]": 50083,
+  "[XXXXX111]": 51064,
+  "[XXXXX1120]": 50915,
+  "[XXXXX1121]": 50835,
+  "[XXXXX1122]": 51056,
+  "[XXXXX1123]": 50172,
+  "[XXXXX1124]": 50972,
+  "[XXXXX1125]": 50275,
+  "[XXXXX1126]": 50430,
+  "[XXXXX1127]": 50743,
+  "[XXXXX1128]": 50551,
+  "[XXXXX1129]": 50439,
+  "[XXXXX112]": 50819,
+  "[XXXXX1130]": 50536,
+  "[XXXXX1131]": 50622,
+  "[XXXXX1132]": 50623,
+  "[XXXXX1133]": 50117,
+  "[XXXXX1134]": 50251,
+  "[XXXXX1135]": 50678,
+  "[XXXXX1136]": 50316,
+  "[XXXXX1137]": 50905,
+  "[XXXXX1138]": 50992,
+  "[XXXXX1139]": 50851,
+  "[XXXXX113]": 50443,
+  "[XXXXX1140]": 50499,
+  "[XXXXX1141]": 50629,
+  "[XXXXX1142]": 50944,
+  "[XXXXX1143]": 50373,
+  "[XXXXX1144]": 50123,
+  "[XXXXX1145]": 50173,
+  "[XXXXX1146]": 50891,
+  "[XXXXX1147]": 50471,
+  "[XXXXX1148]": 50560,
+  "[XXXXX1149]": 50541,
+  "[XXXXX114]": 50631,
+  "[XXXXX1150]": 50033,
+  "[XXXXX1151]": 50063,
+  "[XXXXX1152]": 50767,
+  "[XXXXX1153]": 50897,
+  "[XXXXX1154]": 50568,
+  "[XXXXX1155]": 51131,
+  "[XXXXX1156]": 50009,
+  "[XXXXX1157]": 50417,
+  "[XXXXX1158]": 50477,
+  "[XXXXX1159]": 50941,
+  "[XXXXX115]": 50294,
+  "[XXXXX1160]": 50679,
+  "[XXXXX1161]": 51108,
+  "[XXXXX1162]": 50332,
+  "[XXXXX1163]": 50424,
+  "[XXXXX1164]": 50473,
+  "[XXXXX1165]": 50793,
+  "[XXXXX1166]": 50453,
+  "[XXXXX1167]": 50807,
+  "[XXXXX1168]": 50128,
+  "[XXXXX1169]": 50039,
+  "[XXXXX116]": 50759,
+  "[XXXXX1170]": 50735,
+  "[XXXXX1171]": 50366,
+  "[XXXXX1172]": 50808,
+  "[XXXXX1173]": 50426,
+  "[XXXXX1174]": 50076,
+  "[XXXXX1175]": 50943,
+  "[XXXXX1176]": 50252,
+  "[XXXXX1177]": 50999,
+  "[XXXXX1178]": 50264,
+  "[XXXXX1179]": 50607,
+  "[XXXXX117]": 51036,
+  "[XXXXX1180]": 50986,
+  "[XXXXX1181]": 50744,
+  "[XXXXX1182]": 50186,
+  "[XXXXX1183]": 50555,
+  "[XXXXX1184]": 51076,
+  "[XXXXX1185]": 50849,
+  "[XXXXX1186]": 51128,
+  "[XXXXX1187]": 50858,
+  "[XXXXX1188]": 50656,
+  "[XXXXX1189]": 50064,
+  "[XXXXX118]": 50081,
+  "[XXXXX1190]": 51197,
+  "[XXXXX1191]": 50104,
+  "[XXXXX1192]": 50045,
+  "[XXXXX1193]": 50404,
+  "[XXXXX1194]": 50690,
+  "[XXXXX1195]": 50495,
+  "[XXXXX119]": 50108,
+  "[XXXXX11]": 50976,
+  "[XXXXX120]": 51081,
+  "[XXXXX121]": 50464,
+  "[XXXXX122]": 50829,
+  "[XXXXX123]": 50766,
+  "[XXXXX124]": 50732,
+  "[XXXXX125]": 50221,
+  "[XXXXX126]": 50810,
+  "[XXXXX127]": 50130,
+  "[XXXXX128]": 50751,
+  "[XXXXX129]": 50662,
+  "[XXXXX12]": 50602,
+  "[XXXXX130]": 50035,
+  "[XXXXX131]": 50715,
+  "[XXXXX132]": 50340,
+  "[XXXXX133]": 50563,
+  "[XXXXX134]": 50993,
+  "[XXXXX135]": 50304,
+  "[XXXXX136]": 50131,
+  "[XXXXX137]": 50578,
+  "[XXXXX138]": 50757,
+  "[XXXXX139]": 50582,
+  "[XXXXX13]": 50105,
+  "[XXXXX140]": 50085,
+  "[XXXXX141]": 50553,
+  "[XXXXX142]": 50749,
+  "[XXXXX143]": 50351,
+  "[XXXXX144]": 51024,
+  "[XXXXX145]": 51144,
+  "[XXXXX146]": 50042,
+  "[XXXXX147]": 50145,
+  "[XXXXX148]": 50066,
+  "[XXXXX149]": 50876,
+  "[XXXXX14]": 51006,
+  "[XXXXX150]": 50280,
+  "[XXXXX151]": 50093,
+  "[XXXXX152]": 50638,
+  "[XXXXX153]": 50684,
+  "[XXXXX154]": 50820,
+  "[XXXXX155]": 51196,
+  "[XXXXX156]": 50317,
+  "[XXXXX157]": 50284,
+  "[XXXXX158]": 50288,
+  "[XXXXX159]": 50814,
+  "[XXXXX15]": 50608,
+  "[XXXXX160]": 50004,
+  "[XXXXX161]": 50008,
+  "[XXXXX162]": 50377,
+  "[XXXXX163]": 50214,
+  "[XXXXX164]": 50708,
+  "[XXXXX165]": 50390,
+  "[XXXXX166]": 50741,
+  "[XXXXX167]": 50445,
+  "[XXXXX168]": 50936,
+  "[XXXXX169]": 50896,
+  "[XXXXX16]": 50442,
+  "[XXXXX170]": 50109,
+  "[XXXXX171]": 50140,
+  "[XXXXX172]": 50427,
+  "[XXXXX173]": 51074,
+  "[XXXXX174]": 50162,
+  "[XXXXX175]": 51015,
+  "[XXXXX176]": 50524,
+  "[XXXXX177]": 50673,
+  "[XXXXX178]": 50054,
+  "[XXXXX179]": 50805,
+  "[XXXXX17]": 50482,
+  "[XXXXX180]": 50253,
+  "[XXXXX181]": 50493,
+  "[XXXXX182]": 50421,
+  "[XXXXX183]": 51050,
+  "[XXXXX184]": 50521,
+  "[XXXXX185]": 50188,
+  "[XXXXX186]": 50147,
+  "[XXXXX187]": 50201,
+  "[XXXXX188]": 50973,
+  "[XXXXX189]": 50409,
+  "[XXXXX18]": 50115,
+  "[XXXXX190]": 50051,
+  "[XXXXX191]": 51020,
+  "[XXXXX192]": 51047,
+  "[XXXXX193]": 50669,
+  "[XXXXX194]": 50643,
+  "[XXXXX195]": 50159,
+  "[XXXXX196]": 50649,
+  "[XXXXX197]": 51178,
+  "[XXXXX198]": 50043,
+  "[XXXXX199]": 51147,
+  "[XXXXX19]": 51127,
+  "[XXXXX1]": 51114,
+  "[XXXXX200]": 50840,
+  "[XXXXX201]": 50365,
+  "[XXXXX202]": 50232,
+  "[XXXXX203]": 50241,
+  "[XXXXX204]": 50548,
+  "[XXXXX205]": 50781,
+  "[XXXXX206]": 50923,
+  "[XXXXX207]": 51115,
+  "[XXXXX208]": 50344,
+  "[XXXXX209]": 50299,
+  "[XXXXX20]": 51031,
+  "[XXXXX210]": 51179,
+  "[XXXXX211]": 51163,
+  "[XXXXX212]": 50562,
+  "[XXXXX213]": 50094,
+  "[XXXXX214]": 50257,
+  "[XXXXX215]": 50967,
+  "[XXXXX216]": 50523,
+  "[XXXXX217]": 51132,
+  "[XXXXX218]": 51146,
+  "[XXXXX219]": 50411,
+  "[XXXXX21]": 50354,
+  "[XXXXX220]": 50853,
+  "[XXXXX221]": 50886,
+  "[XXXXX222]": 50600,
+  "[XXXXX223]": 50873,
+  "[XXXXX224]": 50416,
+  "[XXXXX225]": 50675,
+  "[XXXXX226]": 50583,
+  "[XXXXX227]": 50151,
+  "[XXXXX228]": 50927,
+  "[XXXXX229]": 50609,
+  "[XXXXX22]": 50589,
+  "[XXXXX230]": 50238,
+  "[XXXXX231]": 50242,
+  "[XXXXX232]": 51016,
+  "[XXXXX233]": 50406,
+  "[XXXXX234]": 50908,
+  "[XXXXX235]": 50024,
+  "[XXXXX236]": 50270,
+  "[XXXXX237]": 50132,
+  "[XXXXX238]": 50800,
+  "[XXXXX239]": 50236,
+  "[XXXXX23]": 50007,
+  "[XXXXX240]": 50005,
+  "[XXXXX241]": 50894,
+  "[XXXXX242]": 50694,
+  "[XXXXX243]": 51071,
+  "[XXXXX244]": 51017,
+  "[XXXXX245]": 50068,
+  "[XXXXX246]": 50682,
+  "[XXXXX247]": 50913,
+  "[XXXXX248]": 51028,
+  "[XXXXX249]": 50037,
+  "[XXXXX24]": 51169,
+  "[XXXXX250]": 50747,
+  "[XXXXX251]": 50947,
+  "[XXXXX252]": 50329,
+  "[XXXXX253]": 50612,
+  "[XXXXX254]": 50110,
+  "[XXXXX255]": 50824,
+  "[XXXXX256]": 50558,
+  "[XXXXX257]": 50969,
+  "[XXXXX258]": 50729,
+  "[XXXXX259]": 50125,
+  "[XXXXX25]": 51160,
+  "[XXXXX260]": 50040,
+  "[XXXXX261]": 51038,
+  "[XXXXX262]": 50347,
+  "[XXXXX263]": 50740,
+  "[XXXXX264]": 51195,
+  "[XXXXX265]": 50879,
+  "[XXXXX266]": 50770,
+  "[XXXXX267]": 50178,
+  "[XXXXX268]": 50804,
+  "[XXXXX269]": 50906,
+  "[XXXXX26]": 50150,
+  "[XXXXX270]": 51191,
+  "[XXXXX271]": 50047,
+  "[XXXXX272]": 50195,
+  "[XXXXX273]": 50554,
+  "[XXXXX274]": 50833,
+  "[XXXXX275]": 50346,
+  "[XXXXX276]": 50950,
+  "[XXXXX277]": 50864,
+  "[XXXXX278]": 50259,
+  "[XXXXX279]": 50671,
+  "[XXXXX27]": 50468,
+  "[XXXXX280]": 50082,
+  "[XXXXX281]": 50565,
+  "[XXXXX282]": 50984,
+  "[XXXXX283]": 50650,
+  "[XXXXX284]": 50975,
+  "[XXXXX285]": 50603,
+  "[XXXXX286]": 50027,
+  "[XXXXX287]": 50181,
+  "[XXXXX288]": 50981,
+  "[XXXXX289]": 50885,
+  "[XXXXX28]": 50249,
+  "[XXXXX290]": 50522,
+  "[XXXXX291]": 50050,
+  "[XXXXX292]": 50313,
+  "[XXXXX293]": 50503,
+  "[XXXXX294]": 51176,
+  "[XXXXX295]": 51177,
+  "[XXXXX296]": 50379,
+  "[XXXXX297]": 50635,
+  "[XXXXX298]": 50723,
+  "[XXXXX299]": 50200,
+  "[XXXXX29]": 50892,
+  "[XXXXX2]": 51119,
+  "[XXXXX300]": 51026,
+  "[XXXXX301]": 50528,
+  "[XXXXX302]": 51149,
+  "[XXXXX303]": 50044,
+  "[XXXXX304]": 50209,
+  "[XXXXX305]": 50988,
+  "[XXXXX306]": 50518,
+  "[XXXXX307]": 50088,
+  "[XXXXX308]": 50733,
+  "[XXXXX309]": 51066,
+  "[XXXXX30]": 50506,
+  "[XXXXX310]": 50285,
+  "[XXXXX311]": 50859,
+  "[XXXXX312]": 50263,
+  "[XXXXX313]": 50594,
+  "[XXXXX314]": 51103,
+  "[XXXXX315]": 50871,
+  "[XXXXX316]": 50300,
+  "[XXXXX317]": 50760,
+  "[XXXXX318]": 50055,
+  "[XXXXX319]": 50389,
+  "[XXXXX31]": 50212,
+  "[XXXXX320]": 50444,
+  "[XXXXX321]": 50994,
+  "[XXXXX322]": 50281,
+  "[XXXXX323]": 50179,
+  "[XXXXX324]": 50455,
+  "[XXXXX325]": 50970,
+  "[XXXXX326]": 50666,
+  "[XXXXX327]": 50604,
+  "[XXXXX328]": 50627,
+  "[XXXXX329]": 50475,
+  "[XXXXX32]": 50277,
+  "[XXXXX330]": 50667,
+  "[XXXXX331]": 50348,
+  "[XXXXX332]": 50772,
+  "[XXXXX333]": 50163,
+  "[XXXXX334]": 50569,
+  "[XXXXX335]": 50018,
+  "[XXXXX336]": 50883,
+  "[XXXXX337]": 50067,
+  "[XXXXX338]": 51184,
+  "[XXXXX339]": 50997,
+  "[XXXXX33]": 50403,
+  "[XXXXX340]": 51013,
+  "[XXXXX341]": 50957,
+  "[XXXXX342]": 51106,
+  "[XXXXX343]": 51174,
+  "[XXXXX344]": 50391,
+  "[XXXXX345]": 50948,
+  "[XXXXX346]": 50180,
+  "[XXXXX347]": 50811,
+  "[XXXXX348]": 50401,
+  "[XXXXX349]": 50911,
+  "[XXXXX34]": 50223,
+  "[XXXXX350]": 51089,
+  "[XXXXX351]": 50777,
+  "[XXXXX352]": 50189,
+  "[XXXXX353]": 50492,
+  "[XXXXX354]": 50205,
+  "[XXXXX355]": 50374,
+  "[XXXXX356]": 51152,
+  "[XXXXX357]": 50695,
+  "[XXXXX358]": 51117,
+  "[XXXXX359]": 50573,
+  "[XXXXX35]": 50752,
+  "[XXXXX360]": 50955,
+  "[XXXXX361]": 50349,
+  "[XXXXX362]": 51137,
+  "[XXXXX363]": 50641,
+  "[XXXXX364]": 51148,
+  "[XXXXX365]": 50255,
+  "[XXXXX366]": 50310,
+  "[XXXXX367]": 50314,
+  "[XXXXX368]": 50971,
+  "[XXXXX369]": 50916,
+  "[XXXXX36]": 50437,
+  "[XXXXX370]": 51096,
+  "[XXXXX371]": 50557,
+  "[XXXXX372]": 51095,
+  "[XXXXX373]": 50382,
+  "[XXXXX374]": 50119,
+  "[XXXXX375]": 50958,
+  "[XXXXX376]": 50624,
+  "[XXXXX377]": 50483,
+  "[XXXXX378]": 50605,
+  "[XXXXX379]": 50017,
+  "[XXXXX37]": 50706,
+  "[XXXXX380]": 50246,
+  "[XXXXX381]": 50588,
+  "[XXXXX382]": 51008,
+  "[XXXXX383]": 50801,
+  "[XXXXX384]": 50290,
+  "[XXXXX385]": 50899,
+  "[XXXXX386]": 50206,
+  "[XXXXX387]": 50716,
+  "[XXXXX388]": 51082,
+  "[XXXXX389]": 50177,
+  "[XXXXX38]": 50736,
+  "[XXXXX390]": 50282,
+  "[XXXXX391]": 51183,
+  "[XXXXX392]": 50286,
+  "[XXXXX393]": 50659,
+  "[XXXXX394]": 50378,
+  "[XXXXX395]": 50709,
+  "[XXXXX396]": 50028,
+  "[XXXXX397]": 50235,
+  "[XXXXX398]": 51014,
+  "[XXXXX399]": 50880,
+  "[XXXXX39]": 50305,
+  "[XXXXX3]": 50077,
+  "[XXXXX400]": 50155,
+  "[XXXXX401]": 50710,
+  "[XXXXX402]": 50507,
+  "[XXXXX403]": 50860,
+  "[XXXXX404]": 50661,
+  "[XXXXX405]": 51083,
+  "[XXXXX406]": 50888,
+  "[XXXXX407]": 50069,
+  "[XXXXX408]": 50691,
+  "[XXXXX409]": 51055,
+  "[XXXXX40]": 50337,
+  "[XXXXX410]": 50137,
+  "[XXXXX411]": 50791,
+  "[XXXXX412]": 50136,
+  "[XXXXX413]": 50730,
+  "[XXXXX414]": 50267,
+  "[XXXXX415]": 50012,
+  "[XXXXX416]": 50681,
+  "[XXXXX417]": 50942,
+  "[XXXXX418]": 50720,
+  "[XXXXX419]": 50844,
+  "[XXXXX41]": 50387,
+  "[XXXXX420]": 50111,
+  "[XXXXX421]": 51003,
+  "[XXXXX422]": 50785,
+  "[XXXXX423]": 50149,
+  "[XXXXX424]": 50422,
+  "[XXXXX425]": 51086,
+  "[XXXXX426]": 50862,
+  "[XXXXX427]": 50576,
+  "[XXXXX428]": 51049,
+  "[XXXXX429]": 50630,
+  "[XXXXX42]": 50799,
+  "[XXXXX430]": 50289,
+  "[XXXXX431]": 50184,
+  "[XXXXX432]": 50319,
+  "[XXXXX433]": 51116,
+  "[XXXXX434]": 50519,
+  "[XXXXX435]": 50496,
+  "[XXXXX436]": 50517,
+  "[XXXXX437]": 50865,
+  "[XXXXX438]": 50737,
+  "[XXXXX439]": 50356,
+  "[XXXXX43]": 50359,
+  "[XXXXX440]": 50898,
+  "[XXXXX441]": 50113,
+  "[XXXXX442]": 50527,
+  "[XXXXX443]": 50762,
+  "[XXXXX444]": 50540,
+  "[XXXXX445]": 50925,
+  "[XXXXX446]": 50711,
+  "[XXXXX447]": 50143,
+  "[XXXXX448]": 51170,
+  "[XXXXX449]": 50413,
+  "[XXXXX44]": 50097,
+  "[XXXXX450]": 50375,
+  "[XXXXX451]": 50846,
+  "[XXXXX452]": 50217,
+  "[XXXXX453]": 50699,
+  "[XXXXX454]": 50412,
+  "[XXXXX455]": 50418,
+  "[XXXXX456]": 51143,
+  "[XXXXX457]": 51141,
+  "[XXXXX458]": 51157,
+  "[XXXXX459]": 50825,
+  "[XXXXX45]": 50203,
+  "[XXXXX460]": 50194,
+  "[XXXXX461]": 50148,
+  "[XXXXX462]": 50276,
+  "[XXXXX463]": 50271,
+  "[XXXXX464]": 50836,
+  "[XXXXX465]": 50854,
+  "[XXXXX466]": 50164,
+  "[XXXXX467]": 50484,
+  "[XXXXX468]": 51097,
+  "[XXXXX469]": 50182,
+  "[XXXXX46]": 50505,
+  "[XXXXX470]": 50670,
+  "[XXXXX471]": 50595,
+  "[XXXXX472]": 50237,
+  "[XXXXX473]": 50057,
+  "[XXXXX474]": 50431,
+  "[XXXXX475]": 50738,
+  "[XXXXX476]": 51145,
+  "[XXXXX477]": 50247,
+  "[XXXXX478]": 50029,
+  "[XXXXX479]": 50917,
+  "[XXXXX47]": 50579,
+  "[XXXXX480]": 50702,
+  "[XXXXX481]": 50831,
+  "[XXXXX482]": 50753,
+  "[XXXXX483]": 50598,
+  "[XXXXX484]": 51136,
+  "[XXXXX485]": 50092,
+  "[XXXXX486]": 50202,
+  "[XXXXX487]": 50106,
+  "[XXXXX488]": 50924,
+  "[XXXXX489]": 51113,
+  "[XXXXX48]": 50842,
+  "[XXXXX490]": 50761,
+  "[XXXXX491]": 50577,
+  "[XXXXX492]": 50692,
+  "[XXXXX493]": 51130,
+  "[XXXXX494]": 50932,
+  "[XXXXX495]": 50837,
+  "[XXXXX496]": 50893,
+  "[XXXXX497]": 50773,
+  "[XXXXX498]": 50360,
+  "[XXXXX499]": 50900,
+  "[XXXXX49]": 51062,
+  "[XXXXX4]": 50396,
+  "[XXXXX500]": 51034,
+  "[XXXXX501]": 50472,
+  "[XXXXX502]": 50660,
+  "[XXXXX503]": 50815,
+  "[XXXXX504]": 50939,
+  "[XXXXX505]": 50419,
+  "[XXXXX506]": 50324,
+  "[XXXXX507]": 50428,
+  "[XXXXX508]": 50274,
+  "[XXXXX509]": 50311,
+  "[XXXXX50]": 50459,
+  "[XXXXX510]": 50674,
+  "[XXXXX511]": 50580,
+  "[XXXXX512]": 50956,
+  "[XXXXX513]": 50165,
+  "[XXXXX514]": 50320,
+  "[XXXXX515]": 50648,
+  "[XXXXX516]": 50386,
+  "[XXXXX517]": 50058,
+  "[XXXXX518]": 51045,
+  "[XXXXX519]": 50103,
+  "[XXXXX51]": 50979,
+  "[XXXXX520]": 50530,
+  "[XXXXX521]": 50907,
+  "[XXXXX522]": 50260,
+  "[XXXXX523]": 50632,
+  "[XXXXX524]": 50926,
+  "[XXXXX525]": 50687,
+  "[XXXXX526]": 50160,
+  "[XXXXX527]": 51053,
+  "[XXXXX528]": 50652,
+  "[XXXXX529]": 51041,
+  "[XXXXX52]": 50272,
+  "[XXXXX530]": 51111,
+  "[XXXXX531]": 51009,
+  "[XXXXX532]": 51079,
+  "[XXXXX533]": 50487,
+  "[XXXXX534]": 51059,
+  "[XXXXX535]": 50335,
+  "[XXXXX536]": 50380,
+  "[XXXXX537]": 50301,
+  "[XXXXX538]": 51067,
+  "[XXXXX539]": 51052,
+  "[XXXXX53]": 51048,
+  "[XXXXX540]": 50822,
+  "[XXXXX541]": 51040,
+  "[XXXXX542]": 50490,
+  "[XXXXX543]": 50448,
+  "[XXXXX544]": 50812,
+  "[XXXXX545]": 50099,
+  "[XXXXX546]": 51199,
+  "[XXXXX547]": 50226,
+  "[XXXXX548]": 50538,
+  "[XXXXX549]": 50342,
+  "[XXXXX54]": 50701,
+  "[XXXXX550]": 50544,
+  "[XXXXX551]": 50398,
+  "[XXXXX552]": 51102,
+  "[XXXXX553]": 50919,
+  "[XXXXX554]": 50615,
+  "[XXXXX555]": 50769,
+  "[XXXXX556]": 50940,
+  "[XXXXX557]": 50070,
+  "[XXXXX558]": 50680,
+  "[XXXXX559]": 50611,
+  "[XXXXX55]": 50574,
+  "[XXXXX560]": 50381,
+  "[XXXXX561]": 50350,
+  "[XXXXX562]": 50175,
+  "[XXXXX563]": 50584,
+  "[XXXXX564]": 50703,
+  "[XXXXX565]": 50989,
+  "[XXXXX566]": 50877,
+  "[XXXXX567]": 51039,
+  "[XXXXX568]": 51018,
+  "[XXXXX569]": 50452,
+  "[XXXXX56]": 51099,
+  "[XXXXX570]": 50161,
+  "[XXXXX571]": 50921,
+  "[XXXXX572]": 50676,
+  "[XXXXX573]": 50326,
+  "[XXXXX574]": 50987,
+  "[XXXXX575]": 50361,
+  "[XXXXX576]": 50071,
+  "[XXXXX577]": 50803,
+  "[XXXXX578]": 50400,
+  "[XXXXX579]": 51091,
+  "[XXXXX57]": 50501,
+  "[XXXXX580]": 50887,
+  "[XXXXX581]": 50839,
+  "[XXXXX582]": 51138,
+  "[XXXXX583]": 50816,
+  "[XXXXX584]": 50339,
+  "[XXXXX585]": 50463,
+  "[XXXXX586]": 50399,
+  "[XXXXX587]": 51070,
+  "[XXXXX588]": 50457,
+  "[XXXXX589]": 50828,
+  "[XXXXX58]": 50183,
+  "[XXXXX590]": 50080,
+  "[XXXXX591]": 50550,
+  "[XXXXX592]": 50129,
+  "[XXXXX593]": 50273,
+  "[XXXXX594]": 50388,
+  "[XXXXX595]": 50491,
+  "[XXXXX596]": 50278,
+  "[XXXXX597]": 50011,
+  "[XXXXX598]": 50254,
+  "[XXXXX599]": 50302,
+  "[XXXXX59]": 50353,
+  "[XXXXX5]": 50010,
+  "[XXXXX600]": 50704,
+  "[XXXXX601]": 51118,
+  "[XXXXX602]": 50049,
+  "[XXXXX603]": 51190,
+  "[XXXXX604]": 51142,
+  "[XXXXX605]": 50707,
+  "[XXXXX606]": 50937,
+  "[XXXXX607]": 50875,
+  "[XXXXX608]": 50564,
+  "[XXXXX609]": 50345,
+  "[XXXXX60]": 50713,
+  "[XXXXX610]": 50949,
+  "[XXXXX611]": 50978,
+  "[XXXXX612]": 50330,
+  "[XXXXX613]": 51035,
+  "[XXXXX614]": 50402,
+  "[XXXXX615]": 50176,
+  "[XXXXX616]": 51133,
+  "[XXXXX617]": 50222,
+  "[XXXXX618]": 50118,
+  "[XXXXX619]": 50196,
+  "[XXXXX61]": 50298,
+  "[XXXXX620]": 50668,
+  "[XXXXX621]": 50462,
+  "[XXXXX622]": 50218,
+  "[XXXXX623]": 51101,
+  "[XXXXX624]": 50362,
+  "[XXXXX625]": 50779,
+  "[XXXXX626]": 50513,
+  "[XXXXX627]": 50746,
+  "[XXXXX628]": 50141,
+  "[XXXXX629]": 50479,
+  "[XXXXX62]": 50056,
+  "[XXXXX630]": 51180,
+  "[XXXXX631]": 50872,
+  "[XXXXX632]": 50315,
+  "[XXXXX633]": 50397,
+  "[XXXXX634]": 51165,
+  "[XXXXX635]": 50046,
+  "[XXXXX636]": 50795,
+  "[XXXXX637]": 50959,
+  "[XXXXX638]": 50786,
+  "[XXXXX639]": 50240,
+  "[XXXXX63]": 51061,
+  "[XXXXX640]": 50601,
+  "[XXXXX641]": 50904,
+  "[XXXXX642]": 50376,
+  "[XXXXX643]": 50663,
+  "[XXXXX644]": 50613,
+  "[XXXXX645]": 50467,
+  "[XXXXX646]": 50546,
+  "[XXXXX647]": 50465,
+  "[XXXXX648]": 50395,
+  "[XXXXX649]": 50287,
+  "[XXXXX64]": 51162,
+  "[XXXXX650]": 50474,
+  "[XXXXX651]": 50727,
+  "[XXXXX652]": 50243,
+  "[XXXXX653]": 51100,
+  "[XXXXX654]": 50705,
+  "[XXXXX655]": 51012,
+  "[XXXXX656]": 50447,
+  "[XXXXX657]": 50719,
+  "[XXXXX658]": 50712,
+  "[XXXXX659]": 50476,
+  "[XXXXX65]": 50587,
+  "[XXXXX660]": 51054,
+  "[XXXXX661]": 51166,
+  "[XXXXX662]": 50494,
+  "[XXXXX663]": 50230,
+  "[XXXXX664]": 50621,
+  "[XXXXX665]": 50809,
+  "[XXXXX666]": 50265,
+  "[XXXXX667]": 50645,
+  "[XXXXX668]": 50817,
+  "[XXXXX669]": 50030,
+  "[XXXXX66]": 51029,
+  "[XXXXX670]": 51004,
+  "[XXXXX671]": 50685,
+  "[XXXXX672]": 50625,
+  "[XXXXX673]": 50890,
+  "[XXXXX674]": 50383,
+  "[XXXXX675]": 50929,
+  "[XXXXX676]": 50116,
+  "[XXXXX677]": 51072,
+  "[XXXXX678]": 51126,
+  "[XXXXX679]": 50755,
+  "[XXXXX67]": 50717,
+  "[XXXXX680]": 50303,
+  "[XXXXX681]": 50504,
+  "[XXXXX682]": 51075,
+  "[XXXXX683]": 50261,
+  "[XXXXX684]": 50861,
+  "[XXXXX685]": 50306,
+  "[XXXXX686]": 50016,
+  "[XXXXX687]": 50101,
+  "[XXXXX688]": 51098,
+  "[XXXXX689]": 50827,
+  "[XXXXX68]": 50863,
+  "[XXXXX690]": 50640,
+  "[XXXXX691]": 50031,
+  "[XXXXX692]": 50768,
+  "[XXXXX693]": 50013,
+  "[XXXXX694]": 51032,
+  "[XXXXX695]": 50166,
+  "[XXXXX696]": 50127,
+  "[XXXXX697]": 50414,
+  "[XXXXX698]": 50742,
+  "[XXXXX699]": 51042,
+  "[XXXXX69]": 51112,
+  "[XXXXX6]": 50593,
+  "[XXXXX700]": 50292,
+  "[XXXXX701]": 50174,
+  "[XXXXX702]": 50547,
+  "[XXXXX703]": 50498,
+  "[XXXXX704]": 51078,
+  "[XXXXX705]": 50133,
+  "[XXXXX706]": 50041,
+  "[XXXXX707]": 51181,
+  "[XXXXX708]": 50585,
+  "[XXXXX709]": 50776,
+  "[XXXXX70]": 50053,
+  "[XXXXX710]": 50336,
+  "[XXXXX711]": 50765,
+  "[XXXXX712]": 50224,
+  "[XXXXX713]": 50599,
+  "[XXXXX714]": 50207,
+  "[XXXXX715]": 51043,
+  "[XXXXX716]": 51090,
+  "[XXXXX717]": 50006,
+  "[XXXXX718]": 50901,
+  "[XXXXX719]": 51001,
+  "[XXXXX71]": 50954,
+  "[XXXXX720]": 50646,
+  "[XXXXX721]": 50075,
+  "[XXXXX722]": 51120,
+  "[XXXXX723]": 50215,
+  "[XXXXX724]": 50415,
+  "[XXXXX725]": 50154,
+  "[XXXXX726]": 50935,
+  "[XXXXX727]": 50545,
+  "[XXXXX728]": 51085,
+  "[XXXXX729]": 50256,
+  "[XXXXX72]": 50363,
+  "[XXXXX730]": 50700,
+  "[XXXXX731]": 50262,
+  "[XXXXX732]": 50930,
+  "[XXXXX733]": 50333,
+  "[XXXXX734]": 50884,
+  "[XXXXX735]": 51030,
+  "[XXXXX736]": 50231,
+  "[XXXXX737]": 50405,
+  "[XXXXX738]": 50962,
+  "[XXXXX739]": 50458,
+  "[XXXXX73]": 50019,
+  "[XXXXX740]": 50878,
+  "[XXXXX741]": 50910,
+  "[XXXXX742]": 50170,
+  "[XXXXX743]": 50718,
+  "[XXXXX744]": 50616,
+  "[XXXXX745]": 50358,
+  "[XXXXX746]": 50152,
+  "[XXXXX747]": 50525,
+  "[XXXXX748]": 51167,
+  "[XXXXX749]": 50653,
+  "[XXXXX74]": 50952,
+  "[XXXXX750]": 50500,
+  "[XXXXX751]": 50446,
+  "[XXXXX752]": 50995,
+  "[XXXXX753]": 50945,
+  "[XXXXX754]": 51173,
+  "[XXXXX755]": 50823,
+  "[XXXXX756]": 51060,
+  "[XXXXX757]": 50748,
+  "[XXXXX758]": 50020,
+  "[XXXXX759]": 50197,
+  "[XXXXX75]": 50502,
+  "[XXXXX760]": 50291,
+  "[XXXXX761]": 50821,
+  "[XXXXX762]": 50190,
+  "[XXXXX763]": 50745,
+  "[XXXXX764]": 50778,
+  "[XXXXX765]": 50556,
+  "[XXXXX766]": 51161,
+  "[XXXXX767]": 50466,
+  "[XXXXX768]": 50792,
+  "[XXXXX769]": 50208,
+  "[XXXXX76]": 50169,
+  "[XXXXX770]": 50647,
+  "[XXXXX771]": 50610,
+  "[XXXXX772]": 51140,
+  "[XXXXX773]": 50441,
+  "[XXXXX774]": 50870,
+  "[XXXXX775]": 50368,
+  "[XXXXX776]": 50026,
+  "[XXXXX777]": 50677,
+  "[XXXXX778]": 51168,
+  "[XXXXX779]": 50481,
+  "[XXXXX77]": 50515,
+  "[XXXXX780]": 50225,
+  "[XXXXX781]": 50408,
+  "[XXXXX782]": 50090,
+  "[XXXXX783]": 50951,
+  "[XXXXX784]": 50015,
+  "[XXXXX785]": 50658,
+  "[XXXXX786]": 50617,
+  "[XXXXX787]": 50721,
+  "[XXXXX788]": 51084,
+  "[XXXXX789]": 50830,
+  "[XXXXX78]": 50100,
+  "[XXXXX790]": 50606,
+  "[XXXXX791]": 50124,
+  "[XXXXX792]": 50078,
+  "[XXXXX793]": 51188,
+  "[XXXXX794]": 50750,
+  "[XXXXX795]": 50138,
+  "[XXXXX796]": 50239,
+  "[XXXXX797]": 50385,
+  "[XXXXX798]": 50780,
+  "[XXXXX799]": 50683,
+  "[XXXXX79]": 50436,
+  "[XXXXX7]": 50211,
+  "[XXXXX800]": 51185,
+  "[XXXXX801]": 50250,
+  "[XXXXX802]": 50456,
+  "[XXXXX803]": 50508,
+  "[XXXXX804]": 51194,
+  "[XXXXX805]": 50021,
+  "[XXXXX806]": 50307,
+  "[XXXXX807]": 50199,
+  "[XXXXX808]": 51129,
+  "[XXXXX809]": 50686,
+  "[XXXXX80]": 50370,
+  "[XXXXX810]": 50343,
+  "[XXXXX811]": 50614,
+  "[XXXXX812]": 50636,
+  "[XXXXX813]": 51198,
+  "[XXXXX814]": 50788,
+  "[XXXXX815]": 50120,
+  "[XXXXX816]": 50135,
+  "[XXXXX817]": 50293,
+  "[XXXXX818]": 50153,
+  "[XXXXX819]": 50516,
+  "[XXXXX81]": 50581,
+  "[XXXXX820]": 50586,
+  "[XXXXX821]": 50509,
+  "[XXXXX822]": 50220,
+  "[XXXXX823]": 51068,
+  "[XXXXX824]": 50946,
+  "[XXXXX825]": 50965,
+  "[XXXXX826]": 50032,
+  "[XXXXX827]": 50156,
+  "[XXXXX828]": 50449,
+  "[XXXXX829]": 50531,
+  "[XXXXX82]": 51164,
+  "[XXXXX830]": 50486,
+  "[XXXXX831]": 50357,
+  "[XXXXX832]": 51022,
+  "[XXXXX833]": 50633,
+  "[XXXXX834]": 50754,
+  "[XXXXX835]": 51134,
+  "[XXXXX836]": 50193,
+  "[XXXXX837]": 51088,
+  "[XXXXX838]": 50722,
+  "[XXXXX839]": 50756,
+  "[XXXXX83]": 50977,
+  "[XXXXX840]": 50022,
+  "[XXXXX841]": 51186,
+  "[XXXXX842]": 50575,
+  "[XXXXX843]": 50079,
+  "[XXXXX844]": 50644,
+  "[XXXXX845]": 51033,
+  "[XXXXX846]": 50454,
+  "[XXXXX847]": 50095,
+  "[XXXXX848]": 50902,
+  "[XXXXX849]": 50597,
+  "[XXXXX84]": 50167,
+  "[XXXXX850]": 51051,
+  "[XXXXX851]": 50696,
+  "[XXXXX852]": 50966,
+  "[XXXXX853]": 50034,
+  "[XXXXX854]": 50889,
+  "[XXXXX855]": 50843,
+  "[XXXXX856]": 50963,
+  "[XXXXX857]": 50227,
+  "[XXXXX858]": 51058,
+  "[XXXXX859]": 50850,
+  "[XXXXX85]": 50192,
+  "[XXXXX860]": 50228,
+  "[XXXXX861]": 50570,
+  "[XXXXX862]": 50488,
+  "[XXXXX863]": 50539,
+  "[XXXXX864]": 51182,
+  "[XXXXX865]": 50990,
+  "[XXXXX866]": 50542,
+  "[XXXXX867]": 51069,
+  "[XXXXX868]": 50480,
+  "[XXXXX869]": 50847,
+  "[XXXXX86]": 50874,
+  "[XXXXX870]": 50308,
+  "[XXXXX871]": 50510,
+  "[XXXXX872]": 50423,
+  "[XXXXX873]": 50086,
+  "[XXXXX874]": 50591,
+  "[XXXXX875]": 50728,
+  "[XXXXX876]": 50372,
+  "[XXXXX877]": 50903,
+  "[XXXXX878]": 50868,
+  "[XXXXX879]": 50763,
+  "[XXXXX87]": 50571,
+  "[XXXXX880]": 50096,
+  "[XXXXX881]": 51150,
+  "[XXXXX882]": 50460,
+  "[XXXXX883]": 51087,
+  "[XXXXX884]": 51093,
+  "[XXXXX885]": 50295,
+  "[XXXXX886]": 51037,
+  "[XXXXX887]": 51171,
+  "[XXXXX888]": 50794,
+  "[XXXXX889]": 50628,
+  "[XXXXX88]": 50520,
+  "[XXXXX890]": 51172,
+  "[XXXXX891]": 51046,
+  "[XXXXX892]": 50918,
+  "[XXXXX893]": 50998,
+  "[XXXXX894]": 50371,
+  "[XXXXX895]": 51155,
+  "[XXXXX896]": 50866,
+  "[XXXXX897]": 50229,
+  "[XXXXX898]": 51057,
+  "[XXXXX899]": 50867,
+  "[XXXXX89]": 50537,
+  "[XXXXX8]": 50784,
+  "[XXXXX900]": 50739,
+  "[XXXXX901]": 51080,
+  "[XXXXX902]": 50038,
+  "[XXXXX903]": 50321,
+  "[XXXXX904]": 50774,
+  "[XXXXX905]": 50974,
+  "[XXXXX906]": 50920,
+  "[XXXXX907]": 50469,
+  "[XXXXX908]": 51122,
+  "[XXXXX909]": 51092,
+  "[XXXXX90]": 50514,
+  "[XXXXX910]": 50798,
+  "[XXXXX911]": 50245,
+  "[XXXXX912]": 50367,
+  "[XXXXX913]": 50618,
+  "[XXXXX914]": 50072,
+  "[XXXXX915]": 50450,
+  "[XXXXX916]": 51189,
+  "[XXXXX917]": 50485,
+  "[XXXXX918]": 50283,
+  "[XXXXX919]": 50845,
+  "[XXXXX91]": 50968,
+  "[XXXXX920]": 50429,
+  "[XXXXX921]": 50364,
+  "[XXXXX922]": 50782,
+  "[XXXXX923]": 50534,
+  "[XXXXX924]": 50059,
+  "[XXXXX925]": 50102,
+  "[XXXXX926]": 50185,
+  "[XXXXX927]": 50634,
+  "[XXXXX928]": 50567,
+  "[XXXXX929]": 50895,
+  "[XXXXX92]": 50210,
+  "[XXXXX930]": 50561,
+  "[XXXXX931]": 51021,
+  "[XXXXX932]": 50107,
+  "[XXXXX933]": 50407,
+  "[XXXXX934]": 50654,
+  "[XXXXX935]": 50268,
+  "[XXXXX936]": 51153,
+  "[XXXXX937]": 50552,
+  "[XXXXX938]": 50526,
+  "[XXXXX939]": 50322,
+  "[XXXXX93]": 50912,
+  "[XXXXX940]": 50296,
+  "[XXXXX941]": 50572,
+  "[XXXXX942]": 50393,
+  "[XXXXX943]": 50312,
+  "[XXXXX944]": 50592,
+  "[XXXXX945]": 50982,
+  "[XXXXX946]": 50089,
+  "[XXXXX947]": 50331,
+  "[XXXXX948]": 50279,
+  "[XXXXX949]": 51005,
+  "[XXXXX94]": 50198,
+  "[XXXXX950]": 50114,
+  "[XXXXX951]": 50074,
+  "[XXXXX952]": 50248,
+  "[XXXXX953]": 50857,
+  "[XXXXX954]": 50841,
+  "[XXXXX955]": 51065,
+  "[XXXXX956]": 50234,
+  "[XXXXX957]": 50834,
+  "[XXXXX958]": 50535,
+  "[XXXXX959]": 51109,
+  "[XXXXX95]": 50651,
+  "[XXXXX960]": 50797,
+  "[XXXXX961]": 50914,
+  "[XXXXX962]": 50112,
+  "[XXXXX963]": 50073,
+  "[XXXXX964]": 50559,
+  "[XXXXX965]": 50933,
+  "[XXXXX966]": 50619,
+  "[XXXXX967]": 51187,
+  "[XXXXX968]": 50327,
+  "[XXXXX969]": 50698,
+  "[XXXXX96]": 50420,
+  "[XXXXX970]": 50060,
+  "[XXXXX971]": 50432,
+  "[XXXXX972]": 50620,
+  "[XXXXX973]": 50693,
+  "[XXXXX974]": 50938,
+  "[XXXXX975]": 50983,
+  "[XXXXX976]": 50334,
+  "[XXXXX977]": 50438,
+  "[XXXXX978]": 51154,
+  "[XXXXX979]": 50964,
+  "[XXXXX97]": 50672,
+  "[XXXXX980]": 50511,
+  "[XXXXX981]": 50244,
+  "[XXXXX982]": 50266,
+  "[XXXXX983]": 50134,
+  "[XXXXX984]": 50338,
+  "[XXXXX985]": 51121,
+  "[XXXXX986]": 50323,
+  "[XXXXX987]": 50909,
+  "[XXXXX988]": 51000,
+  "[XXXXX989]": 50036,
+  "[XXXXX98]": 50787,
+  "[XXXXX990]": 50512,
+  "[XXXXX991]": 50191,
+  "[XXXXX992]": 50187,
+  "[XXXXX993]": 51156,
+  "[XXXXX994]": 51135,
+  "[XXXXX995]": 50355,
+  "[XXXXX996]": 51027,
+  "[XXXXX997]": 50297,
+  "[XXXXX998]": 50928,
+  "[XXXXX999]": 50697,
+  "[XXXXX99]": 50980,
+  "[XXXXX9]": 50961
+}
diff --git a/checkpoint-5500/config.json b/checkpoint-5500/config.json
new file mode 100644
index 0000000..000c292
--- /dev/null
+++ b/checkpoint-5500/config.json
@@ -0,0 +1,34 @@
+{
+  "activation_function": "gelu",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50000,
+  "dtype": "bfloat16",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50001,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 512,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": 3072,
+  "n_layer": 12,
+  "n_positions": 512,
+  "pad_token_id": 50002,
+  "prefix": "[CLS]",
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "vocab_size": 51200
+}
diff --git a/checkpoint-5500/generation_config.json b/checkpoint-5500/generation_config.json
new file mode 100644
index 0000000..4c122f0
--- /dev/null
+++ b/checkpoint-5500/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50000,
+  "eos_token_id": [
+    50001
+  ],
+  "pad_token_id": 50002,
+  "transformers_version": "4.56.2"
+}
diff --git a/checkpoint-5500/model.safetensors b/checkpoint-5500/model.safetensors
new file mode 100644
index 0000000..e63b94b
--- /dev/null
+++ b/checkpoint-5500/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:11902205462e7af7d3a0d6b0d134945b1d03e1bce2e284f152b2e4917373997f
+size 249556672
diff --git a/checkpoint-5500/rng_state.pth b/checkpoint-5500/rng_state.pth
new file mode 100644
index 0000000..767df65
--- /dev/null
+++ b/checkpoint-5500/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ec8fd1ade9ffdeb50568c66bb3ab70f6847eb4e140c5701367d16d786d49ddbd
+size 14645
diff --git a/checkpoint-5500/special_tokens_map.json b/checkpoint-5500/special_tokens_map.json
new file mode 100644
index 0000000..c78a835
--- /dev/null
+++ b/checkpoint-5500/special_tokens_map.json
@@ -0,0 +1,1249 @@
+{
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/checkpoint-5500/spiece.model b/checkpoint-5500/spiece.model
new file mode 100644
index 0000000..85d6e93
--- /dev/null
+++ b/checkpoint-5500/spiece.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:762a1e078899c6ba7ef62ef873a57b860c51cc0518791854659b58b4c89742fe
+size 1170764
diff --git a/checkpoint-5500/tokenizer_config.json b/checkpoint-5500/tokenizer_config.json
new file mode 100644
index 0000000..b27d01f
--- /dev/null
+++ b/checkpoint-5500/tokenizer_config.json
@@ -0,0 +1,10825 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50000": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50001": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50002": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50003": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50004": {
+      "content": "[XXXXX160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50005": {
+      "content": "[XXXXX240]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50006": {
+      "content": "[XXXXX717]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50007": {
+      "content": "[XXXXX23]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50008": {
+      "content": "[XXXXX161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50009": {
+      "content": "[XXXXX1156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50010": {
+      "content": "[XXXXX5]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50011": {
+      "content": "[XXXXX597]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50012": {
+      "content": "[XXXXX415]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50013": {
+      "content": "[XXXXX693]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50014": {
+      "content": "[XXXXX1083]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50015": {
+      "content": "[XXXXX784]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50016": {
+      "content": "[XXXXX686]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50017": {
+      "content": "[XXXXX379]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50018": {
+      "content": "[XXXXX335]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50019": {
+      "content": "[XXXXX73]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50020": {
+      "content": "[XXXXX758]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50021": {
+      "content": "[XXXXX805]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50022": {
+      "content": "[XXXXX840]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50023": {
+      "content": "[XXXXX1037]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50024": {
+      "content": "[XXXXX235]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50025": {
+      "content": "[XXXXX1107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50026": {
+      "content": "[XXXXX776]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50027": {
+      "content": "[XXXXX286]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50028": {
+      "content": "[XXXXX396]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50029": {
+      "content": "[XXXXX478]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50030": {
+      "content": "[XXXXX669]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50031": {
+      "content": "[XXXXX691]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50032": {
+      "content": "[XXXXX826]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50033": {
+      "content": "[XXXXX1150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50034": {
+      "content": "[XXXXX853]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50035": {
+      "content": "[XXXXX130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50036": {
+      "content": "[XXXXX989]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50037": {
+      "content": "[XXXXX249]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50038": {
+      "content": "[XXXXX902]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50039": {
+      "content": "[XXXXX1169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50040": {
+      "content": "[XXXXX260]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50041": {
+      "content": "[XXXXX706]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50042": {
+      "content": "[XXXXX146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50043": {
+      "content": "[XXXXX198]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50044": {
+      "content": "[XXXXX303]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50045": {
+      "content": "[XXXXX1192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50046": {
+      "content": "[XXXXX635]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50047": {
+      "content": "[XXXXX271]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50048": {
+      "content": "[XXXXX1023]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50049": {
+      "content": "[XXXXX602]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50050": {
+      "content": "[XXXXX291]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50051": {
+      "content": "[XXXXX190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50052": {
+      "content": "[XXXXX1055]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50053": {
+      "content": "[XXXXX70]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50054": {
+      "content": "[XXXXX178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50055": {
+      "content": "[XXXXX318]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50056": {
+      "content": "[XXXXX62]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50057": {
+      "content": "[XXXXX473]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50058": {
+      "content": "[XXXXX517]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50059": {
+      "content": "[XXXXX924]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50060": {
+      "content": "[XXXXX970]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50061": {
+      "content": "[XXXXX1033]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50062": {
+      "content": "[XXXXX110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50063": {
+      "content": "[XXXXX1151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50064": {
+      "content": "[XXXXX1189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50065": {
+      "content": "[XXXXX1095]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50066": {
+      "content": "[XXXXX148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50067": {
+      "content": "[XXXXX337]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50068": {
+      "content": "[XXXXX245]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50069": {
+      "content": "[XXXXX407]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50070": {
+      "content": "[XXXXX557]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50071": {
+      "content": "[XXXXX576]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50072": {
+      "content": "[XXXXX914]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50073": {
+      "content": "[XXXXX963]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50074": {
+      "content": "[XXXXX951]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50075": {
+      "content": "[XXXXX721]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50076": {
+      "content": "[XXXXX1174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50077": {
+      "content": "[XXXXX3]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50078": {
+      "content": "[XXXXX792]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50079": {
+      "content": "[XXXXX843]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50080": {
+      "content": "[XXXXX590]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50081": {
+      "content": "[XXXXX118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50082": {
+      "content": "[XXXXX280]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50083": {
+      "content": "[XXXXX1119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50084": {
+      "content": "[XXXXX1025]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50085": {
+      "content": "[XXXXX140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50086": {
+      "content": "[XXXXX873]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50087": {
+      "content": "[XXXXX103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50088": {
+      "content": "[XXXXX307]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50089": {
+      "content": "[XXXXX946]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50090": {
+      "content": "[XXXXX782]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50091": {
+      "content": "[XXXXX100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50092": {
+      "content": "[XXXXX485]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50093": {
+      "content": "[XXXXX151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50094": {
+      "content": "[XXXXX213]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50095": {
+      "content": "[XXXXX847]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50096": {
+      "content": "[XXXXX880]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50097": {
+      "content": "[XXXXX44]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50098": {
+      "content": "[XXXXX1031]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50099": {
+      "content": "[XXXXX545]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50100": {
+      "content": "[XXXXX78]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50101": {
+      "content": "[XXXXX687]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50102": {
+      "content": "[XXXXX925]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50103": {
+      "content": "[XXXXX519]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50104": {
+      "content": "[XXXXX1191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50105": {
+      "content": "[XXXXX13]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50106": {
+      "content": "[XXXXX487]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50107": {
+      "content": "[XXXXX932]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50108": {
+      "content": "[XXXXX119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50109": {
+      "content": "[XXXXX170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50110": {
+      "content": "[XXXXX254]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50111": {
+      "content": "[XXXXX420]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50112": {
+      "content": "[XXXXX962]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50113": {
+      "content": "[XXXXX441]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50114": {
+      "content": "[XXXXX950]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50115": {
+      "content": "[XXXXX18]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50116": {
+      "content": "[XXXXX676]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50117": {
+      "content": "[XXXXX1133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50118": {
+      "content": "[XXXXX618]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50119": {
+      "content": "[XXXXX374]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50120": {
+      "content": "[XXXXX815]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50121": {
+      "content": "[XXXXX1058]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50122": {
+      "content": "[XXXXX1108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50123": {
+      "content": "[XXXXX1144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50124": {
+      "content": "[XXXXX791]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50125": {
+      "content": "[XXXXX259]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50126": {
+      "content": "[XXXXX1074]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50127": {
+      "content": "[XXXXX696]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50128": {
+      "content": "[XXXXX1168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50129": {
+      "content": "[XXXXX592]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50130": {
+      "content": "[XXXXX127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50131": {
+      "content": "[XXXXX136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50132": {
+      "content": "[XXXXX237]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50133": {
+      "content": "[XXXXX705]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50134": {
+      "content": "[XXXXX983]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50135": {
+      "content": "[XXXXX816]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50136": {
+      "content": "[XXXXX412]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50137": {
+      "content": "[XXXXX410]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50138": {
+      "content": "[XXXXX795]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50139": {
+      "content": "[XXXXX101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50140": {
+      "content": "[XXXXX171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50141": {
+      "content": "[XXXXX628]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50142": {
+      "content": "[XXXXX1038]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50143": {
+      "content": "[XXXXX447]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50144": {
+      "content": "[XXXXX1043]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50145": {
+      "content": "[XXXXX147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50146": {
+      "content": "[XXXXX1112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50147": {
+      "content": "[XXXXX186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50148": {
+      "content": "[XXXXX461]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50149": {
+      "content": "[XXXXX423]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50150": {
+      "content": "[XXXXX26]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50151": {
+      "content": "[XXXXX227]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50152": {
+      "content": "[XXXXX746]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50153": {
+      "content": "[XXXXX818]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50154": {
+      "content": "[XXXXX725]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50155": {
+      "content": "[XXXXX400]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50156": {
+      "content": "[XXXXX827]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50157": {
+      "content": "[XXXXX1020]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50158": {
+      "content": "[XXXXX1060]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50159": {
+      "content": "[XXXXX195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50160": {
+      "content": "[XXXXX526]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50161": {
+      "content": "[XXXXX570]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50162": {
+      "content": "[XXXXX174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50163": {
+      "content": "[XXXXX333]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50164": {
+      "content": "[XXXXX466]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50165": {
+      "content": "[XXXXX513]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50166": {
+      "content": "[XXXXX695]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50167": {
+      "content": "[XXXXX84]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50168": {
+      "content": "[XXXXX1080]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50169": {
+      "content": "[XXXXX76]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50170": {
+      "content": "[XXXXX742]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50171": {
+      "content": "[XXXXX1008]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50172": {
+      "content": "[XXXXX1123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50173": {
+      "content": "[XXXXX1145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50174": {
+      "content": "[XXXXX701]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50175": {
+      "content": "[XXXXX562]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50176": {
+      "content": "[XXXXX615]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50177": {
+      "content": "[XXXXX389]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50178": {
+      "content": "[XXXXX267]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50179": {
+      "content": "[XXXXX323]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50180": {
+      "content": "[XXXXX346]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50181": {
+      "content": "[XXXXX287]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50182": {
+      "content": "[XXXXX469]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50183": {
+      "content": "[XXXXX58]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50184": {
+      "content": "[XXXXX431]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50185": {
+      "content": "[XXXXX926]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50186": {
+      "content": "[XXXXX1182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50187": {
+      "content": "[XXXXX992]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50188": {
+      "content": "[XXXXX185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50189": {
+      "content": "[XXXXX352]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50190": {
+      "content": "[XXXXX762]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50191": {
+      "content": "[XXXXX991]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50192": {
+      "content": "[XXXXX85]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50193": {
+      "content": "[XXXXX836]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50194": {
+      "content": "[XXXXX460]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50195": {
+      "content": "[XXXXX272]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50196": {
+      "content": "[XXXXX619]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50197": {
+      "content": "[XXXXX759]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50198": {
+      "content": "[XXXXX94]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50199": {
+      "content": "[XXXXX807]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50200": {
+      "content": "[XXXXX299]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50201": {
+      "content": "[XXXXX187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50202": {
+      "content": "[XXXXX486]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50203": {
+      "content": "[XXXXX45]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50204": {
+      "content": "[XXXXX1036]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50205": {
+      "content": "[XXXXX354]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50206": {
+      "content": "[XXXXX386]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50207": {
+      "content": "[XXXXX714]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50208": {
+      "content": "[XXXXX769]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50209": {
+      "content": "[XXXXX304]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50210": {
+      "content": "[XXXXX92]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50211": {
+      "content": "[XXXXX7]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50212": {
+      "content": "[XXXXX31]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50213": {
+      "content": "[XXXXX102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50214": {
+      "content": "[XXXXX163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50215": {
+      "content": "[XXXXX723]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50216": {
+      "content": "[XXXXX1042]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50217": {
+      "content": "[XXXXX452]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50218": {
+      "content": "[XXXXX622]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50219": {
+      "content": "[XXXXX1056]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50220": {
+      "content": "[XXXXX822]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50221": {
+      "content": "[XXXXX125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50222": {
+      "content": "[XXXXX617]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50223": {
+      "content": "[XXXXX34]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50224": {
+      "content": "[XXXXX712]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50225": {
+      "content": "[XXXXX780]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50226": {
+      "content": "[XXXXX547]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50227": {
+      "content": "[XXXXX857]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50228": {
+      "content": "[XXXXX860]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50229": {
+      "content": "[XXXXX897]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50230": {
+      "content": "[XXXXX663]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50231": {
+      "content": "[XXXXX736]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50232": {
+      "content": "[XXXXX202]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50233": {
+      "content": "[XXXXX1029]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50234": {
+      "content": "[XXXXX956]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50235": {
+      "content": "[XXXXX397]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50236": {
+      "content": "[XXXXX239]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50237": {
+      "content": "[XXXXX472]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50238": {
+      "content": "[XXXXX230]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50239": {
+      "content": "[XXXXX796]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50240": {
+      "content": "[XXXXX639]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50241": {
+      "content": "[XXXXX203]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50242": {
+      "content": "[XXXXX231]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50243": {
+      "content": "[XXXXX652]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50244": {
+      "content": "[XXXXX981]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50245": {
+      "content": "[XXXXX911]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50246": {
+      "content": "[XXXXX380]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50247": {
+      "content": "[XXXXX477]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50248": {
+      "content": "[XXXXX952]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50249": {
+      "content": "[XXXXX28]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50250": {
+      "content": "[XXXXX801]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50251": {
+      "content": "[XXXXX1134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50252": {
+      "content": "[XXXXX1176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50253": {
+      "content": "[XXXXX180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50254": {
+      "content": "[XXXXX598]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50255": {
+      "content": "[XXXXX365]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50256": {
+      "content": "[XXXXX729]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50257": {
+      "content": "[XXXXX214]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50258": {
+      "content": "[XXXXX1117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50259": {
+      "content": "[XXXXX278]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50260": {
+      "content": "[XXXXX522]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50261": {
+      "content": "[XXXXX683]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50262": {
+      "content": "[XXXXX731]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50263": {
+      "content": "[XXXXX312]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "[XXXXX1178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50265": {
+      "content": "[XXXXX666]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50266": {
+      "content": "[XXXXX982]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50267": {
+      "content": "[XXXXX414]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50268": {
+      "content": "[XXXXX935]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50269": {
+      "content": "[XXXXX1089]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50270": {
+      "content": "[XXXXX236]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50271": {
+      "content": "[XXXXX463]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50272": {
+      "content": "[XXXXX52]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50273": {
+      "content": "[XXXXX593]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50274": {
+      "content": "[XXXXX508]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50275": {
+      "content": "[XXXXX1125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50276": {
+      "content": "[XXXXX462]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50277": {
+      "content": "[XXXXX32]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50278": {
+      "content": "[XXXXX596]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50279": {
+      "content": "[XXXXX948]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50280": {
+      "content": "[XXXXX150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50281": {
+      "content": "[XXXXX322]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50282": {
+      "content": "[XXXXX390]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50283": {
+      "content": "[XXXXX918]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50284": {
+      "content": "[XXXXX157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50285": {
+      "content": "[XXXXX310]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50286": {
+      "content": "[XXXXX392]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50287": {
+      "content": "[XXXXX649]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50288": {
+      "content": "[XXXXX158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50289": {
+      "content": "[XXXXX430]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50290": {
+      "content": "[XXXXX384]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50291": {
+      "content": "[XXXXX760]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50292": {
+      "content": "[XXXXX700]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50293": {
+      "content": "[XXXXX817]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50294": {
+      "content": "[XXXXX115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50295": {
+      "content": "[XXXXX885]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50296": {
+      "content": "[XXXXX940]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50297": {
+      "content": "[XXXXX997]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50298": {
+      "content": "[XXXXX61]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50299": {
+      "content": "[XXXXX209]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50300": {
+      "content": "[XXXXX316]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50301": {
+      "content": "[XXXXX537]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50302": {
+      "content": "[XXXXX599]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50303": {
+      "content": "[XXXXX680]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50304": {
+      "content": "[XXXXX135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50305": {
+      "content": "[XXXXX39]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50306": {
+      "content": "[XXXXX685]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50307": {
+      "content": "[XXXXX806]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50308": {
+      "content": "[XXXXX870]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50309": {
+      "content": "[XXXXX1096]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50310": {
+      "content": "[XXXXX366]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50311": {
+      "content": "[XXXXX509]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50312": {
+      "content": "[XXXXX943]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50313": {
+      "content": "[XXXXX292]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50314": {
+      "content": "[XXXXX367]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50315": {
+      "content": "[XXXXX632]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50316": {
+      "content": "[XXXXX1136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50317": {
+      "content": "[XXXXX156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50318": {
+      "content": "[XXXXX1100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50319": {
+      "content": "[XXXXX432]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50320": {
+      "content": "[XXXXX514]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50321": {
+      "content": "[XXXXX903]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50322": {
+      "content": "[XXXXX939]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50323": {
+      "content": "[XXXXX986]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50324": {
+      "content": "[XXXXX506]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50325": {
+      "content": "[XXXXX10]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50326": {
+      "content": "[XXXXX573]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50327": {
+      "content": "[XXXXX968]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50328": {
+      "content": "[XXXXX1039]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50329": {
+      "content": "[XXXXX252]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50330": {
+      "content": "[XXXXX612]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50331": {
+      "content": "[XXXXX947]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50332": {
+      "content": "[XXXXX1162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50333": {
+      "content": "[XXXXX733]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50334": {
+      "content": "[XXXXX976]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50335": {
+      "content": "[XXXXX535]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50336": {
+      "content": "[XXXXX710]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50337": {
+      "content": "[XXXXX40]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50338": {
+      "content": "[XXXXX984]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50339": {
+      "content": "[XXXXX584]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50340": {
+      "content": "[XXXXX132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50341": {
+      "content": "[XXXXX1084]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50342": {
+      "content": "[XXXXX549]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50343": {
+      "content": "[XXXXX810]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50344": {
+      "content": "[XXXXX208]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50345": {
+      "content": "[XXXXX609]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50346": {
+      "content": "[XXXXX275]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50347": {
+      "content": "[XXXXX262]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50348": {
+      "content": "[XXXXX331]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50349": {
+      "content": "[XXXXX361]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50350": {
+      "content": "[XXXXX561]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50351": {
+      "content": "[XXXXX143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50352": {
+      "content": "[XXXXX1061]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50353": {
+      "content": "[XXXXX59]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50354": {
+      "content": "[XXXXX21]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50355": {
+      "content": "[XXXXX995]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50356": {
+      "content": "[XXXXX439]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50357": {
+      "content": "[XXXXX831]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50358": {
+      "content": "[XXXXX745]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50359": {
+      "content": "[XXXXX43]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50360": {
+      "content": "[XXXXX498]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50361": {
+      "content": "[XXXXX575]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50362": {
+      "content": "[XXXXX624]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50363": {
+      "content": "[XXXXX72]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50364": {
+      "content": "[XXXXX921]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50365": {
+      "content": "[XXXXX201]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50366": {
+      "content": "[XXXXX1171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50367": {
+      "content": "[XXXXX912]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50368": {
+      "content": "[XXXXX775]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50369": {
+      "content": "[XXXXX1094]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50370": {
+      "content": "[XXXXX80]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50371": {
+      "content": "[XXXXX894]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50372": {
+      "content": "[XXXXX876]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50373": {
+      "content": "[XXXXX1143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50374": {
+      "content": "[XXXXX355]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50375": {
+      "content": "[XXXXX450]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50376": {
+      "content": "[XXXXX642]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50377": {
+      "content": "[XXXXX162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50378": {
+      "content": "[XXXXX394]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50379": {
+      "content": "[XXXXX296]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50380": {
+      "content": "[XXXXX536]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50381": {
+      "content": "[XXXXX560]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50382": {
+      "content": "[XXXXX373]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50383": {
+      "content": "[XXXXX674]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50384": {
+      "content": "[XXXXX1099]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50385": {
+      "content": "[XXXXX797]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50386": {
+      "content": "[XXXXX516]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50387": {
+      "content": "[XXXXX41]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50388": {
+      "content": "[XXXXX594]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50389": {
+      "content": "[XXXXX319]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50390": {
+      "content": "[XXXXX165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50391": {
+      "content": "[XXXXX344]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50392": {
+      "content": "[XXXXX1012]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50393": {
+      "content": "[XXXXX942]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50394": {
+      "content": "[XXXXX1071]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50395": {
+      "content": "[XXXXX648]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50396": {
+      "content": "[XXXXX4]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50397": {
+      "content": "[XXXXX633]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50398": {
+      "content": "[XXXXX551]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50399": {
+      "content": "[XXXXX586]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50400": {
+      "content": "[XXXXX578]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50401": {
+      "content": "[XXXXX348]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50402": {
+      "content": "[XXXXX614]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50403": {
+      "content": "[XXXXX33]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50404": {
+      "content": "[XXXXX1193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50405": {
+      "content": "[XXXXX737]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50406": {
+      "content": "[XXXXX233]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50407": {
+      "content": "[XXXXX933]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50408": {
+      "content": "[XXXXX781]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50409": {
+      "content": "[XXXXX189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50410": {
+      "content": "[XXXXX1006]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50411": {
+      "content": "[XXXXX219]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50412": {
+      "content": "[XXXXX454]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50413": {
+      "content": "[XXXXX449]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50414": {
+      "content": "[XXXXX697]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50415": {
+      "content": "[XXXXX724]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50416": {
+      "content": "[XXXXX224]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50417": {
+      "content": "[XXXXX1157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50418": {
+      "content": "[XXXXX455]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50419": {
+      "content": "[XXXXX505]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50420": {
+      "content": "[XXXXX96]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50421": {
+      "content": "[XXXXX182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50422": {
+      "content": "[XXXXX424]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50423": {
+      "content": "[XXXXX872]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50424": {
+      "content": "[XXXXX1163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50425": {
+      "content": "[XXXXX1081]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50426": {
+      "content": "[XXXXX1173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50427": {
+      "content": "[XXXXX172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50428": {
+      "content": "[XXXXX507]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50429": {
+      "content": "[XXXXX920]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50430": {
+      "content": "[XXXXX1126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50431": {
+      "content": "[XXXXX474]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50432": {
+      "content": "[XXXXX971]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50433": {
+      "content": "[XXXXX1049]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50434": {
+      "content": "[XXXXX1114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50435": {
+      "content": "[XXXXX1040]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50436": {
+      "content": "[XXXXX79]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50437": {
+      "content": "[XXXXX36]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50438": {
+      "content": "[XXXXX977]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50439": {
+      "content": "[XXXXX1129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50440": {
+      "content": "[XXXXX1063]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50441": {
+      "content": "[XXXXX773]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50442": {
+      "content": "[XXXXX16]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50443": {
+      "content": "[XXXXX113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50444": {
+      "content": "[XXXXX320]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50445": {
+      "content": "[XXXXX167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50446": {
+      "content": "[XXXXX751]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50447": {
+      "content": "[XXXXX656]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50448": {
+      "content": "[XXXXX543]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50449": {
+      "content": "[XXXXX828]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50450": {
+      "content": "[XXXXX915]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50451": {
+      "content": "[XXXXX1098]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50452": {
+      "content": "[XXXXX569]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50453": {
+      "content": "[XXXXX1166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50454": {
+      "content": "[XXXXX846]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50455": {
+      "content": "[XXXXX324]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50456": {
+      "content": "[XXXXX802]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50457": {
+      "content": "[XXXXX588]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50458": {
+      "content": "[XXXXX739]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50459": {
+      "content": "[XXXXX50]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50460": {
+      "content": "[XXXXX882]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50461": {
+      "content": "[XXXXX1054]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50462": {
+      "content": "[XXXXX621]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50463": {
+      "content": "[XXXXX585]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50464": {
+      "content": "[XXXXX121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50465": {
+      "content": "[XXXXX647]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50466": {
+      "content": "[XXXXX767]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50467": {
+      "content": "[XXXXX645]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50468": {
+      "content": "[XXXXX27]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50469": {
+      "content": "[XXXXX907]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50470": {
+      "content": "[XXXXX1109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50471": {
+      "content": "[XXXXX1147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50472": {
+      "content": "[XXXXX501]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50473": {
+      "content": "[XXXXX1164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50474": {
+      "content": "[XXXXX650]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50475": {
+      "content": "[XXXXX329]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50476": {
+      "content": "[XXXXX659]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50477": {
+      "content": "[XXXXX1158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50478": {
+      "content": "[XXXXX104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50479": {
+      "content": "[XXXXX629]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50480": {
+      "content": "[XXXXX868]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50481": {
+      "content": "[XXXXX779]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50482": {
+      "content": "[XXXXX17]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50483": {
+      "content": "[XXXXX377]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50484": {
+      "content": "[XXXXX467]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50485": {
+      "content": "[XXXXX917]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50486": {
+      "content": "[XXXXX830]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50487": {
+      "content": "[XXXXX533]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50488": {
+      "content": "[XXXXX862]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50489": {
+      "content": "[XXXXX1041]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50490": {
+      "content": "[XXXXX542]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50491": {
+      "content": "[XXXXX595]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50492": {
+      "content": "[XXXXX353]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50493": {
+      "content": "[XXXXX181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50494": {
+      "content": "[XXXXX662]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50495": {
+      "content": "[XXXXX1195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50496": {
+      "content": "[XXXXX435]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50497": {
+      "content": "[XXXXX1051]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50498": {
+      "content": "[XXXXX703]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50499": {
+      "content": "[XXXXX1140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50500": {
+      "content": "[XXXXX750]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50501": {
+      "content": "[XXXXX57]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50502": {
+      "content": "[XXXXX75]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50503": {
+      "content": "[XXXXX293]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50504": {
+      "content": "[XXXXX681]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50505": {
+      "content": "[XXXXX46]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50506": {
+      "content": "[XXXXX30]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50507": {
+      "content": "[XXXXX402]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50508": {
+      "content": "[XXXXX803]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50509": {
+      "content": "[XXXXX821]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50510": {
+      "content": "[XXXXX871]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50511": {
+      "content": "[XXXXX980]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50512": {
+      "content": "[XXXXX990]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50513": {
+      "content": "[XXXXX626]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50514": {
+      "content": "[XXXXX90]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50515": {
+      "content": "[XXXXX77]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50516": {
+      "content": "[XXXXX819]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50517": {
+      "content": "[XXXXX436]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50518": {
+      "content": "[XXXXX306]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50519": {
+      "content": "[XXXXX434]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50520": {
+      "content": "[XXXXX88]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50521": {
+      "content": "[XXXXX184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50522": {
+      "content": "[XXXXX290]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50523": {
+      "content": "[XXXXX216]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50524": {
+      "content": "[XXXXX176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50525": {
+      "content": "[XXXXX747]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50526": {
+      "content": "[XXXXX938]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50527": {
+      "content": "[XXXXX442]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50528": {
+      "content": "[XXXXX301]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50529": {
+      "content": "[XXXXX1015]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50530": {
+      "content": "[XXXXX520]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50531": {
+      "content": "[XXXXX829]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50532": {
+      "content": "[XXXXX106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50533": {
+      "content": "[XXXXX1048]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50534": {
+      "content": "[XXXXX923]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50535": {
+      "content": "[XXXXX958]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50536": {
+      "content": "[XXXXX1130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50537": {
+      "content": "[XXXXX89]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50538": {
+      "content": "[XXXXX548]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50539": {
+      "content": "[XXXXX863]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50540": {
+      "content": "[XXXXX444]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50541": {
+      "content": "[XXXXX1149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50542": {
+      "content": "[XXXXX866]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50543": {
+      "content": "[XXXXX109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50544": {
+      "content": "[XXXXX550]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50545": {
+      "content": "[XXXXX727]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50546": {
+      "content": "[XXXXX646]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50547": {
+      "content": "[XXXXX702]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50548": {
+      "content": "[XXXXX204]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50549": {
+      "content": "[XXXXX1000]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50550": {
+      "content": "[XXXXX591]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50551": {
+      "content": "[XXXXX1128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50552": {
+      "content": "[XXXXX937]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50553": {
+      "content": "[XXXXX141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50554": {
+      "content": "[XXXXX273]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50555": {
+      "content": "[XXXXX1183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50556": {
+      "content": "[XXXXX765]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50557": {
+      "content": "[XXXXX371]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50558": {
+      "content": "[XXXXX256]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50559": {
+      "content": "[XXXXX964]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50560": {
+      "content": "[XXXXX1148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50561": {
+      "content": "[XXXXX930]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50562": {
+      "content": "[XXXXX212]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50563": {
+      "content": "[XXXXX133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50564": {
+      "content": "[XXXXX608]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50565": {
+      "content": "[XXXXX281]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50566": {
+      "content": "[XXXXX1045]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50567": {
+      "content": "[XXXXX928]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50568": {
+      "content": "[XXXXX1154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50569": {
+      "content": "[XXXXX334]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50570": {
+      "content": "[XXXXX861]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50571": {
+      "content": "[XXXXX87]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50572": {
+      "content": "[XXXXX941]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50573": {
+      "content": "[XXXXX359]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50574": {
+      "content": "[XXXXX55]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50575": {
+      "content": "[XXXXX842]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50576": {
+      "content": "[XXXXX427]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50577": {
+      "content": "[XXXXX491]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50578": {
+      "content": "[XXXXX137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50579": {
+      "content": "[XXXXX47]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50580": {
+      "content": "[XXXXX511]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50581": {
+      "content": "[XXXXX81]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50582": {
+      "content": "[XXXXX139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50583": {
+      "content": "[XXXXX226]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50584": {
+      "content": "[XXXXX563]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50585": {
+      "content": "[XXXXX708]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50586": {
+      "content": "[XXXXX820]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50587": {
+      "content": "[XXXXX65]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50588": {
+      "content": "[XXXXX381]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50589": {
+      "content": "[XXXXX22]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50590": {
+      "content": "[XXXXX1064]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50591": {
+      "content": "[XXXXX874]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50592": {
+      "content": "[XXXXX944]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50593": {
+      "content": "[XXXXX6]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50594": {
+      "content": "[XXXXX313]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50595": {
+      "content": "[XXXXX471]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50596": {
+      "content": "[XXXXX1118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50597": {
+      "content": "[XXXXX849]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50598": {
+      "content": "[XXXXX483]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50599": {
+      "content": "[XXXXX713]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50600": {
+      "content": "[XXXXX222]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50601": {
+      "content": "[XXXXX640]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50602": {
+      "content": "[XXXXX12]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50603": {
+      "content": "[XXXXX285]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50604": {
+      "content": "[XXXXX327]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50605": {
+      "content": "[XXXXX378]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50606": {
+      "content": "[XXXXX790]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50607": {
+      "content": "[XXXXX1179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50608": {
+      "content": "[XXXXX15]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50609": {
+      "content": "[XXXXX229]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50610": {
+      "content": "[XXXXX771]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50611": {
+      "content": "[XXXXX559]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50612": {
+      "content": "[XXXXX253]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50613": {
+      "content": "[XXXXX644]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50614": {
+      "content": "[XXXXX811]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50615": {
+      "content": "[XXXXX554]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50616": {
+      "content": "[XXXXX744]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50617": {
+      "content": "[XXXXX786]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50618": {
+      "content": "[XXXXX913]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50619": {
+      "content": "[XXXXX966]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50620": {
+      "content": "[XXXXX972]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50621": {
+      "content": "[XXXXX664]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50622": {
+      "content": "[XXXXX1131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50623": {
+      "content": "[XXXXX1132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50624": {
+      "content": "[XXXXX376]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50625": {
+      "content": "[XXXXX672]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50626": {
+      "content": "[XXXXX1013]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50627": {
+      "content": "[XXXXX328]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50628": {
+      "content": "[XXXXX889]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50629": {
+      "content": "[XXXXX1141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50630": {
+      "content": "[XXXXX429]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50631": {
+      "content": "[XXXXX114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50632": {
+      "content": "[XXXXX523]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50633": {
+      "content": "[XXXXX833]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50634": {
+      "content": "[XXXXX927]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50635": {
+      "content": "[XXXXX297]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50636": {
+      "content": "[XXXXX812]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50637": {
+      "content": "[XXXXX1062]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50638": {
+      "content": "[XXXXX152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50639": {
+      "content": "[XXXXX1010]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50640": {
+      "content": "[XXXXX690]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50641": {
+      "content": "[XXXXX363]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50642": {
+      "content": "[XXXXX1103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50643": {
+      "content": "[XXXXX194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50644": {
+      "content": "[XXXXX844]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50645": {
+      "content": "[XXXXX667]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50646": {
+      "content": "[XXXXX720]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50647": {
+      "content": "[XXXXX770]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50648": {
+      "content": "[XXXXX515]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50649": {
+      "content": "[XXXXX196]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50650": {
+      "content": "[XXXXX283]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50651": {
+      "content": "[XXXXX95]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50652": {
+      "content": "[XXXXX528]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50653": {
+      "content": "[XXXXX749]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50654": {
+      "content": "[XXXXX934]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50655": {
+      "content": "[XXXXX1052]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50656": {
+      "content": "[XXXXX1188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50657": {
+      "content": "[XXXXX1001]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50658": {
+      "content": "[XXXXX785]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50659": {
+      "content": "[XXXXX393]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50660": {
+      "content": "[XXXXX502]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50661": {
+      "content": "[XXXXX404]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50662": {
+      "content": "[XXXXX129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50663": {
+      "content": "[XXXXX643]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50664": {
+      "content": "[XXXXX1086]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50665": {
+      "content": "[XXXXX1104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50666": {
+      "content": "[XXXXX326]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50667": {
+      "content": "[XXXXX330]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50668": {
+      "content": "[XXXXX620]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50669": {
+      "content": "[XXXXX193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50670": {
+      "content": "[XXXXX470]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50671": {
+      "content": "[XXXXX279]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50672": {
+      "content": "[XXXXX97]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50673": {
+      "content": "[XXXXX177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50674": {
+      "content": "[XXXXX510]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50675": {
+      "content": "[XXXXX225]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50676": {
+      "content": "[XXXXX572]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50677": {
+      "content": "[XXXXX777]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50678": {
+      "content": "[XXXXX1135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50679": {
+      "content": "[XXXXX1160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50680": {
+      "content": "[XXXXX558]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50681": {
+      "content": "[XXXXX416]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50682": {
+      "content": "[XXXXX246]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50683": {
+      "content": "[XXXXX799]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50684": {
+      "content": "[XXXXX153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50685": {
+      "content": "[XXXXX671]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50686": {
+      "content": "[XXXXX809]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50687": {
+      "content": "[XXXXX525]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50688": {
+      "content": "[XXXXX1004]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50689": {
+      "content": "[XXXXX1005]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50690": {
+      "content": "[XXXXX1194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50691": {
+      "content": "[XXXXX408]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50692": {
+      "content": "[XXXXX492]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50693": {
+      "content": "[XXXXX973]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50694": {
+      "content": "[XXXXX242]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50695": {
+      "content": "[XXXXX357]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50696": {
+      "content": "[XXXXX851]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50697": {
+      "content": "[XXXXX999]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50698": {
+      "content": "[XXXXX969]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50699": {
+      "content": "[XXXXX453]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50700": {
+      "content": "[XXXXX730]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50701": {
+      "content": "[XXXXX54]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50702": {
+      "content": "[XXXXX480]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50703": {
+      "content": "[XXXXX564]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50704": {
+      "content": "[XXXXX600]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50705": {
+      "content": "[XXXXX654]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50706": {
+      "content": "[XXXXX37]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50707": {
+      "content": "[XXXXX605]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50708": {
+      "content": "[XXXXX164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50709": {
+      "content": "[XXXXX395]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50710": {
+      "content": "[XXXXX401]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50711": {
+      "content": "[XXXXX446]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50712": {
+      "content": "[XXXXX658]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50713": {
+      "content": "[XXXXX60]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50714": {
+      "content": "[XXXXX107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50715": {
+      "content": "[XXXXX131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50716": {
+      "content": "[XXXXX387]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50717": {
+      "content": "[XXXXX67]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50718": {
+      "content": "[XXXXX743]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50719": {
+      "content": "[XXXXX657]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50720": {
+      "content": "[XXXXX418]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50721": {
+      "content": "[XXXXX787]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50722": {
+      "content": "[XXXXX838]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50723": {
+      "content": "[XXXXX298]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50724": {
+      "content": "[XXXXX1007]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50725": {
+      "content": "[XXXXX1027]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50726": {
+      "content": "[XXXXX1078]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50727": {
+      "content": "[XXXXX651]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50728": {
+      "content": "[XXXXX875]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50729": {
+      "content": "[XXXXX258]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50730": {
+      "content": "[XXXXX413]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50731": {
+      "content": "[XXXXX1092]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50732": {
+      "content": "[XXXXX124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50733": {
+      "content": "[XXXXX308]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50734": {
+      "content": "[XXXXX1085]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50735": {
+      "content": "[XXXXX1170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50736": {
+      "content": "[XXXXX38]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50737": {
+      "content": "[XXXXX438]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50738": {
+      "content": "[XXXXX475]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50739": {
+      "content": "[XXXXX900]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50740": {
+      "content": "[XXXXX263]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50741": {
+      "content": "[XXXXX166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50742": {
+      "content": "[XXXXX698]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50743": {
+      "content": "[XXXXX1127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50744": {
+      "content": "[XXXXX1181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50745": {
+      "content": "[XXXXX763]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50746": {
+      "content": "[XXXXX627]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50747": {
+      "content": "[XXXXX250]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50748": {
+      "content": "[XXXXX757]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50749": {
+      "content": "[XXXXX142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50750": {
+      "content": "[XXXXX794]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50751": {
+      "content": "[XXXXX128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50752": {
+      "content": "[XXXXX35]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50753": {
+      "content": "[XXXXX482]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50754": {
+      "content": "[XXXXX834]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50755": {
+      "content": "[XXXXX679]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50756": {
+      "content": "[XXXXX839]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50757": {
+      "content": "[XXXXX138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50758": {
+      "content": "[XXXXX1066]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50759": {
+      "content": "[XXXXX116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50760": {
+      "content": "[XXXXX317]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50761": {
+      "content": "[XXXXX490]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50762": {
+      "content": "[XXXXX443]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50763": {
+      "content": "[XXXXX879]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50764": {
+      "content": "[XXXXX1101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50765": {
+      "content": "[XXXXX711]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50766": {
+      "content": "[XXXXX123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50767": {
+      "content": "[XXXXX1152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50768": {
+      "content": "[XXXXX692]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50769": {
+      "content": "[XXXXX555]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50770": {
+      "content": "[XXXXX266]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50771": {
+      "content": "[XXXXX0]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50772": {
+      "content": "[XXXXX332]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50773": {
+      "content": "[XXXXX497]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50774": {
+      "content": "[XXXXX904]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50775": {
+      "content": "[XXXXX1019]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50776": {
+      "content": "[XXXXX709]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50777": {
+      "content": "[XXXXX351]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50778": {
+      "content": "[XXXXX764]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50779": {
+      "content": "[XXXXX625]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50780": {
+      "content": "[XXXXX798]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50781": {
+      "content": "[XXXXX205]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50782": {
+      "content": "[XXXXX922]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50783": {
+      "content": "[XXXXX1075]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50784": {
+      "content": "[XXXXX8]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50785": {
+      "content": "[XXXXX422]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50786": {
+      "content": "[XXXXX638]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50787": {
+      "content": "[XXXXX98]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50788": {
+      "content": "[XXXXX814]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50789": {
+      "content": "[XXXXX1057]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50790": {
+      "content": "[XXXXX1070]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50791": {
+      "content": "[XXXXX411]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50792": {
+      "content": "[XXXXX768]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50793": {
+      "content": "[XXXXX1165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50794": {
+      "content": "[XXXXX888]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50795": {
+      "content": "[XXXXX636]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50796": {
+      "content": "[XXXXX1047]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50797": {
+      "content": "[XXXXX960]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50798": {
+      "content": "[XXXXX910]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50799": {
+      "content": "[XXXXX42]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50800": {
+      "content": "[XXXXX238]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50801": {
+      "content": "[XXXXX383]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50802": {
+      "content": "[XXXXX1032]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50803": {
+      "content": "[XXXXX577]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50804": {
+      "content": "[XXXXX268]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50805": {
+      "content": "[XXXXX179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50806": {
+      "content": "[XXXXX1076]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50807": {
+      "content": "[XXXXX1167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50808": {
+      "content": "[XXXXX1172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50809": {
+      "content": "[XXXXX665]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50810": {
+      "content": "[XXXXX126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50811": {
+      "content": "[XXXXX347]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50812": {
+      "content": "[XXXXX544]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50813": {
+      "content": "[XXXXX1026]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50814": {
+      "content": "[XXXXX159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50815": {
+      "content": "[XXXXX503]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50816": {
+      "content": "[XXXXX583]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50817": {
+      "content": "[XXXXX668]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50818": {
+      "content": "[XXXXX1115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50819": {
+      "content": "[XXXXX112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50820": {
+      "content": "[XXXXX154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50821": {
+      "content": "[XXXXX761]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50822": {
+      "content": "[XXXXX540]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50823": {
+      "content": "[XXXXX755]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50824": {
+      "content": "[XXXXX255]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50825": {
+      "content": "[XXXXX459]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50826": {
+      "content": "[XXXXX1090]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50827": {
+      "content": "[XXXXX689]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50828": {
+      "content": "[XXXXX589]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50829": {
+      "content": "[XXXXX122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50830": {
+      "content": "[XXXXX789]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50831": {
+      "content": "[XXXXX481]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50832": {
+      "content": "[XXXXX1044]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50833": {
+      "content": "[XXXXX274]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50834": {
+      "content": "[XXXXX957]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50835": {
+      "content": "[XXXXX1121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50836": {
+      "content": "[XXXXX464]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50837": {
+      "content": "[XXXXX495]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50838": {
+      "content": "[XXXXX1097]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50839": {
+      "content": "[XXXXX581]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50840": {
+      "content": "[XXXXX200]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50841": {
+      "content": "[XXXXX954]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50842": {
+      "content": "[XXXXX48]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50843": {
+      "content": "[XXXXX855]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50844": {
+      "content": "[XXXXX419]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50845": {
+      "content": "[XXXXX919]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50846": {
+      "content": "[XXXXX451]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50847": {
+      "content": "[XXXXX869]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50848": {
+      "content": "[XXXXX1082]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50849": {
+      "content": "[XXXXX1185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50850": {
+      "content": "[XXXXX859]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50851": {
+      "content": "[XXXXX1139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50852": {
+      "content": "[XXXXX1072]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50853": {
+      "content": "[XXXXX220]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50854": {
+      "content": "[XXXXX465]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50855": {
+      "content": "[XXXXX1105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50856": {
+      "content": "[XXXXX1093]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50857": {
+      "content": "[XXXXX953]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50858": {
+      "content": "[XXXXX1187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50859": {
+      "content": "[XXXXX311]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50860": {
+      "content": "[XXXXX403]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50861": {
+      "content": "[XXXXX684]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50862": {
+      "content": "[XXXXX426]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50863": {
+      "content": "[XXXXX68]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50864": {
+      "content": "[XXXXX277]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50865": {
+      "content": "[XXXXX437]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50866": {
+      "content": "[XXXXX896]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50867": {
+      "content": "[XXXXX899]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50868": {
+      "content": "[XXXXX878]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50869": {
+      "content": "[XXXXX1073]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50870": {
+      "content": "[XXXXX774]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50871": {
+      "content": "[XXXXX315]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50872": {
+      "content": "[XXXXX631]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50873": {
+      "content": "[XXXXX223]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50874": {
+      "content": "[XXXXX86]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50875": {
+      "content": "[XXXXX607]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50876": {
+      "content": "[XXXXX149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50877": {
+      "content": "[XXXXX566]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50878": {
+      "content": "[XXXXX740]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50879": {
+      "content": "[XXXXX265]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50880": {
+      "content": "[XXXXX399]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50881": {
+      "content": "[XXXXX1053]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50882": {
+      "content": "[XXXXX1077]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50883": {
+      "content": "[XXXXX336]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50884": {
+      "content": "[XXXXX734]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50885": {
+      "content": "[XXXXX289]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50886": {
+      "content": "[XXXXX221]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50887": {
+      "content": "[XXXXX580]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50888": {
+      "content": "[XXXXX406]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50889": {
+      "content": "[XXXXX854]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50890": {
+      "content": "[XXXXX673]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50891": {
+      "content": "[XXXXX1146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50892": {
+      "content": "[XXXXX29]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50893": {
+      "content": "[XXXXX496]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50894": {
+      "content": "[XXXXX241]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50895": {
+      "content": "[XXXXX929]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50896": {
+      "content": "[XXXXX169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50897": {
+      "content": "[XXXXX1153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50898": {
+      "content": "[XXXXX440]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50899": {
+      "content": "[XXXXX385]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50900": {
+      "content": "[XXXXX499]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50901": {
+      "content": "[XXXXX718]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50902": {
+      "content": "[XXXXX848]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50903": {
+      "content": "[XXXXX877]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50904": {
+      "content": "[XXXXX641]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50905": {
+      "content": "[XXXXX1137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50906": {
+      "content": "[XXXXX269]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50907": {
+      "content": "[XXXXX521]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50908": {
+      "content": "[XXXXX234]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50909": {
+      "content": "[XXXXX987]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50910": {
+      "content": "[XXXXX741]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50911": {
+      "content": "[XXXXX349]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50912": {
+      "content": "[XXXXX93]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50913": {
+      "content": "[XXXXX247]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50914": {
+      "content": "[XXXXX961]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50915": {
+      "content": "[XXXXX1120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50916": {
+      "content": "[XXXXX369]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50917": {
+      "content": "[XXXXX479]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50918": {
+      "content": "[XXXXX892]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50919": {
+      "content": "[XXXXX553]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50920": {
+      "content": "[XXXXX906]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50921": {
+      "content": "[XXXXX571]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50922": {
+      "content": "[XXXXX1046]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50923": {
+      "content": "[XXXXX206]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50924": {
+      "content": "[XXXXX488]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50925": {
+      "content": "[XXXXX445]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50926": {
+      "content": "[XXXXX524]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50927": {
+      "content": "[XXXXX228]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50928": {
+      "content": "[XXXXX998]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50929": {
+      "content": "[XXXXX675]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50930": {
+      "content": "[XXXXX732]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50931": {
+      "content": "[XXXXX1028]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50932": {
+      "content": "[XXXXX494]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50933": {
+      "content": "[XXXXX965]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50934": {
+      "content": "[XXXXX1021]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50935": {
+      "content": "[XXXXX726]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50936": {
+      "content": "[XXXXX168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50937": {
+      "content": "[XXXXX606]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50938": {
+      "content": "[XXXXX974]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50939": {
+      "content": "[XXXXX504]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50940": {
+      "content": "[XXXXX556]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50941": {
+      "content": "[XXXXX1159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50942": {
+      "content": "[XXXXX417]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50943": {
+      "content": "[XXXXX1175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50944": {
+      "content": "[XXXXX1142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50945": {
+      "content": "[XXXXX753]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50946": {
+      "content": "[XXXXX824]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50947": {
+      "content": "[XXXXX251]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50948": {
+      "content": "[XXXXX345]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50949": {
+      "content": "[XXXXX610]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50950": {
+      "content": "[XXXXX276]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50951": {
+      "content": "[XXXXX783]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50952": {
+      "content": "[XXXXX74]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50953": {
+      "content": "[XXXXX1050]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50954": {
+      "content": "[XXXXX71]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50955": {
+      "content": "[XXXXX360]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50956": {
+      "content": "[XXXXX512]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50957": {
+      "content": "[XXXXX341]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50958": {
+      "content": "[XXXXX375]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50959": {
+      "content": "[XXXXX637]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50960": {
+      "content": "[XXXXX1116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50961": {
+      "content": "[XXXXX9]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50962": {
+      "content": "[XXXXX738]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50963": {
+      "content": "[XXXXX856]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50964": {
+      "content": "[XXXXX979]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50965": {
+      "content": "[XXXXX825]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50966": {
+      "content": "[XXXXX852]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50967": {
+      "content": "[XXXXX215]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50968": {
+      "content": "[XXXXX91]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50969": {
+      "content": "[XXXXX257]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50970": {
+      "content": "[XXXXX325]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50971": {
+      "content": "[XXXXX368]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50972": {
+      "content": "[XXXXX1124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50973": {
+      "content": "[XXXXX188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50974": {
+      "content": "[XXXXX905]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50975": {
+      "content": "[XXXXX284]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50976": {
+      "content": "[XXXXX11]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50977": {
+      "content": "[XXXXX83]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50978": {
+      "content": "[XXXXX611]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50979": {
+      "content": "[XXXXX51]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50980": {
+      "content": "[XXXXX99]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50981": {
+      "content": "[XXXXX288]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50982": {
+      "content": "[XXXXX945]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50983": {
+      "content": "[XXXXX975]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50984": {
+      "content": "[XXXXX282]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50985": {
+      "content": "[XXXXX1068]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50986": {
+      "content": "[XXXXX1180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50987": {
+      "content": "[XXXXX574]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50988": {
+      "content": "[XXXXX305]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50989": {
+      "content": "[XXXXX565]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50990": {
+      "content": "[XXXXX865]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50991": {
+      "content": "[XXXXX1014]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50992": {
+      "content": "[XXXXX1138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50993": {
+      "content": "[XXXXX134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50994": {
+      "content": "[XXXXX321]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50995": {
+      "content": "[XXXXX752]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50996": {
+      "content": "[XXXXX108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50997": {
+      "content": "[XXXXX339]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50998": {
+      "content": "[XXXXX893]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50999": {
+      "content": "[XXXXX1177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51000": {
+      "content": "[XXXXX988]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51001": {
+      "content": "[XXXXX719]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51002": {
+      "content": "[XXXXX1059]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51003": {
+      "content": "[XXXXX421]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51004": {
+      "content": "[XXXXX670]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51005": {
+      "content": "[XXXXX949]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51006": {
+      "content": "[XXXXX14]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51007": {
+      "content": "[XXXXX1087]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51008": {
+      "content": "[XXXXX382]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51009": {
+      "content": "[XXXXX531]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51010": {
+      "content": "[XXXXX1079]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51011": {
+      "content": "[XXXXX1067]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51012": {
+      "content": "[XXXXX655]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51013": {
+      "content": "[XXXXX340]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51014": {
+      "content": "[XXXXX398]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51015": {
+      "content": "[XXXXX175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51016": {
+      "content": "[XXXXX232]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51017": {
+      "content": "[XXXXX244]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51018": {
+      "content": "[XXXXX568]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51019": {
+      "content": "[XXXXX1110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51020": {
+      "content": "[XXXXX191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51021": {
+      "content": "[XXXXX931]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51022": {
+      "content": "[XXXXX832]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51023": {
+      "content": "[XXXXX1030]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51024": {
+      "content": "[XXXXX144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51025": {
+      "content": "[XXXXX1102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51026": {
+      "content": "[XXXXX300]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51027": {
+      "content": "[XXXXX996]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51028": {
+      "content": "[XXXXX248]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51029": {
+      "content": "[XXXXX66]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51030": {
+      "content": "[XXXXX735]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51031": {
+      "content": "[XXXXX20]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51032": {
+      "content": "[XXXXX694]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51033": {
+      "content": "[XXXXX845]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51034": {
+      "content": "[XXXXX500]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51035": {
+      "content": "[XXXXX613]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51036": {
+      "content": "[XXXXX117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51037": {
+      "content": "[XXXXX886]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51038": {
+      "content": "[XXXXX261]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51039": {
+      "content": "[XXXXX567]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51040": {
+      "content": "[XXXXX541]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51041": {
+      "content": "[XXXXX529]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51042": {
+      "content": "[XXXXX699]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51043": {
+      "content": "[XXXXX715]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51044": {
+      "content": "[XXXXX1003]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51045": {
+      "content": "[XXXXX518]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51046": {
+      "content": "[XXXXX891]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51047": {
+      "content": "[XXXXX192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51048": {
+      "content": "[XXXXX53]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51049": {
+      "content": "[XXXXX428]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51050": {
+      "content": "[XXXXX183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51051": {
+      "content": "[XXXXX850]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51052": {
+      "content": "[XXXXX539]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51053": {
+      "content": "[XXXXX527]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51054": {
+      "content": "[XXXXX660]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51055": {
+      "content": "[XXXXX409]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51056": {
+      "content": "[XXXXX1122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51057": {
+      "content": "[XXXXX898]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51058": {
+      "content": "[XXXXX858]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51059": {
+      "content": "[XXXXX534]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51060": {
+      "content": "[XXXXX756]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51061": {
+      "content": "[XXXXX63]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51062": {
+      "content": "[XXXXX49]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51063": {
+      "content": "[XXXXX1106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51064": {
+      "content": "[XXXXX111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51065": {
+      "content": "[XXXXX955]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51066": {
+      "content": "[XXXXX309]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51067": {
+      "content": "[XXXXX538]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51068": {
+      "content": "[XXXXX823]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51069": {
+      "content": "[XXXXX867]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51070": {
+      "content": "[XXXXX587]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51071": {
+      "content": "[XXXXX243]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51072": {
+      "content": "[XXXXX677]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51073": {
+      "content": "[XXXXX1017]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51074": {
+      "content": "[XXXXX173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51075": {
+      "content": "[XXXXX682]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51076": {
+      "content": "[XXXXX1184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51077": {
+      "content": "[XXXXX1009]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51078": {
+      "content": "[XXXXX704]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51079": {
+      "content": "[XXXXX532]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51080": {
+      "content": "[XXXXX901]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51081": {
+      "content": "[XXXXX120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51082": {
+      "content": "[XXXXX388]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51083": {
+      "content": "[XXXXX405]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51084": {
+      "content": "[XXXXX788]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51085": {
+      "content": "[XXXXX728]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51086": {
+      "content": "[XXXXX425]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51087": {
+      "content": "[XXXXX883]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51088": {
+      "content": "[XXXXX837]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51089": {
+      "content": "[XXXXX350]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51090": {
+      "content": "[XXXXX716]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51091": {
+      "content": "[XXXXX579]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51092": {
+      "content": "[XXXXX909]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51093": {
+      "content": "[XXXXX884]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51094": {
+      "content": "[XXXXX1011]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51095": {
+      "content": "[XXXXX372]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51096": {
+      "content": "[XXXXX370]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51097": {
+      "content": "[XXXXX468]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51098": {
+      "content": "[XXXXX688]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51099": {
+      "content": "[XXXXX56]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51100": {
+      "content": "[XXXXX653]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51101": {
+      "content": "[XXXXX623]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51102": {
+      "content": "[XXXXX552]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51103": {
+      "content": "[XXXXX314]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51104": {
+      "content": "[XXXXX1018]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51105": {
+      "content": "[XXXXX1091]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51106": {
+      "content": "[XXXXX342]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51107": {
+      "content": "[XXXXX1065]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51108": {
+      "content": "[XXXXX1161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51109": {
+      "content": "[XXXXX959]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51110": {
+      "content": "[XXXXX1035]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51111": {
+      "content": "[XXXXX530]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51112": {
+      "content": "[XXXXX69]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51113": {
+      "content": "[XXXXX489]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51114": {
+      "content": "[XXXXX1]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51115": {
+      "content": "[XXXXX207]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51116": {
+      "content": "[XXXXX433]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51117": {
+      "content": "[XXXXX358]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51118": {
+      "content": "[XXXXX601]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51119": {
+      "content": "[XXXXX2]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51120": {
+      "content": "[XXXXX722]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51121": {
+      "content": "[XXXXX985]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51122": {
+      "content": "[XXXXX908]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51123": {
+      "content": "[XXXXX1024]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51124": {
+      "content": "[XXXXX1111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51125": {
+      "content": "[XXXXX1113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51126": {
+      "content": "[XXXXX678]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51127": {
+      "content": "[XXXXX19]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51128": {
+      "content": "[XXXXX1186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51129": {
+      "content": "[XXXXX808]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51130": {
+      "content": "[XXXXX493]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51131": {
+      "content": "[XXXXX1155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51132": {
+      "content": "[XXXXX217]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51133": {
+      "content": "[XXXXX616]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51134": {
+      "content": "[XXXXX835]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51135": {
+      "content": "[XXXXX994]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51136": {
+      "content": "[XXXXX484]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51137": {
+      "content": "[XXXXX362]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51138": {
+      "content": "[XXXXX582]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51139": {
+      "content": "[XXXXX1034]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51140": {
+      "content": "[XXXXX772]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51141": {
+      "content": "[XXXXX457]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51142": {
+      "content": "[XXXXX604]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51143": {
+      "content": "[XXXXX456]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51144": {
+      "content": "[XXXXX145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51145": {
+      "content": "[XXXXX476]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51146": {
+      "content": "[XXXXX218]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51147": {
+      "content": "[XXXXX199]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51148": {
+      "content": "[XXXXX364]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51149": {
+      "content": "[XXXXX302]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51150": {
+      "content": "[XXXXX881]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51151": {
+      "content": "[XXXXX1088]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51152": {
+      "content": "[XXXXX356]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51153": {
+      "content": "[XXXXX936]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51154": {
+      "content": "[XXXXX978]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51155": {
+      "content": "[XXXXX895]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51156": {
+      "content": "[XXXXX993]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51157": {
+      "content": "[XXXXX458]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51158": {
+      "content": "[XXXXX1002]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51159": {
+      "content": "[XXXXX1022]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51160": {
+      "content": "[XXXXX25]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51161": {
+      "content": "[XXXXX766]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51162": {
+      "content": "[XXXXX64]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51163": {
+      "content": "[XXXXX211]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51164": {
+      "content": "[XXXXX82]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51165": {
+      "content": "[XXXXX634]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51166": {
+      "content": "[XXXXX661]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51167": {
+      "content": "[XXXXX748]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51168": {
+      "content": "[XXXXX778]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51169": {
+      "content": "[XXXXX24]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51170": {
+      "content": "[XXXXX448]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51171": {
+      "content": "[XXXXX887]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51172": {
+      "content": "[XXXXX890]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51173": {
+      "content": "[XXXXX754]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51174": {
+      "content": "[XXXXX343]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51175": {
+      "content": "[XXXXX1069]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51176": {
+      "content": "[XXXXX294]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51177": {
+      "content": "[XXXXX295]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51178": {
+      "content": "[XXXXX197]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51179": {
+      "content": "[XXXXX210]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51180": {
+      "content": "[XXXXX630]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51181": {
+      "content": "[XXXXX707]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51182": {
+      "content": "[XXXXX864]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51183": {
+      "content": "[XXXXX391]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51184": {
+      "content": "[XXXXX338]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51185": {
+      "content": "[XXXXX800]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51186": {
+      "content": "[XXXXX841]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51187": {
+      "content": "[XXXXX967]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51188": {
+      "content": "[XXXXX793]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51189": {
+      "content": "[XXXXX916]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51190": {
+      "content": "[XXXXX603]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51191": {
+      "content": "[XXXXX270]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51192": {
+      "content": "[XXXXX105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51193": {
+      "content": "[XXXXX1016]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51194": {
+      "content": "[XXXXX804]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51195": {
+      "content": "[XXXXX264]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51196": {
+      "content": "[XXXXX155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51197": {
+      "content": "[XXXXX1190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51198": {
+      "content": "[XXXXX813]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51199": {
+      "content": "[XXXXX546]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "keep_accents": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}
diff --git a/checkpoint-5500/trainer_state.json b/checkpoint-5500/trainer_state.json
new file mode 100644
index 0000000..4b6a512
--- /dev/null
+++ b/checkpoint-5500/trainer_state.json
@@ -0,0 +1,11155 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 4.556752278376139,
+  "eval_steps": 500,
+  "global_step": 5500,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "entropy": 7.218191003799438,
+      "epoch": 0.004142502071251036,
+      "grad_norm": 1.265625,
+      "learning_rate": 2e-06,
+      "loss": 6.8898,
+      "mean_token_accuracy": 0.08805170804262161,
+      "num_tokens": 9149.0,
+      "step": 5
+    },
+    {
+      "entropy": 7.191673707962036,
+      "epoch": 0.008285004142502071,
+      "grad_norm": 1.5078125,
+      "learning_rate": 4.5e-06,
+      "loss": 6.7268,
+      "mean_token_accuracy": 0.09304728880524635,
+      "num_tokens": 16800.0,
+      "step": 10
+    },
+    {
+      "entropy": 7.134524202346801,
+      "epoch": 0.012427506213753107,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7e-06,
+      "loss": 6.8905,
+      "mean_token_accuracy": 0.0921505056321621,
+      "num_tokens": 26617.0,
+      "step": 15
+    },
+    {
+      "entropy": 7.115550088882446,
+      "epoch": 0.016570008285004142,
+      "grad_norm": 1.25,
+      "learning_rate": 9.5e-06,
+      "loss": 6.8021,
+      "mean_token_accuracy": 0.09268744736909866,
+      "num_tokens": 35855.0,
+      "step": 20
+    },
+    {
+      "entropy": 7.12396879196167,
+      "epoch": 0.020712510356255178,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.2e-05,
+      "loss": 7.0094,
+      "mean_token_accuracy": 0.08752714470028877,
+      "num_tokens": 45644.0,
+      "step": 25
+    },
+    {
+      "entropy": 7.054446792602539,
+      "epoch": 0.024855012427506214,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.4500000000000002e-05,
+      "loss": 6.8922,
+      "mean_token_accuracy": 0.09398627206683159,
+      "num_tokens": 54641.0,
+      "step": 30
+    },
+    {
+      "entropy": 7.012255907058716,
+      "epoch": 0.02899751449875725,
+      "grad_norm": 1.0234375,
+      "learning_rate": 1.7000000000000003e-05,
+      "loss": 6.7519,
+      "mean_token_accuracy": 0.08958807587623596,
+      "num_tokens": 63924.0,
+      "step": 35
+    },
+    {
+      "entropy": 7.068031549453735,
+      "epoch": 0.033140016570008285,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.95e-05,
+      "loss": 6.89,
+      "mean_token_accuracy": 0.09437783882021904,
+      "num_tokens": 73452.0,
+      "step": 40
+    },
+    {
+      "entropy": 7.06072301864624,
+      "epoch": 0.037282518641259324,
+      "grad_norm": 1.0234375,
+      "learning_rate": 2.2e-05,
+      "loss": 6.9455,
+      "mean_token_accuracy": 0.0851291574537754,
+      "num_tokens": 82731.0,
+      "step": 45
+    },
+    {
+      "entropy": 7.090083169937134,
+      "epoch": 0.041425020712510356,
+      "grad_norm": 1.1015625,
+      "learning_rate": 2.4500000000000003e-05,
+      "loss": 6.7734,
+      "mean_token_accuracy": 0.09048294499516488,
+      "num_tokens": 92626.0,
+      "step": 50
+    },
+    {
+      "entropy": 7.149203157424926,
+      "epoch": 0.045567522783761395,
+      "grad_norm": 1.21875,
+      "learning_rate": 2.7e-05,
+      "loss": 6.9497,
+      "mean_token_accuracy": 0.08217904865741729,
+      "num_tokens": 101380.0,
+      "step": 55
+    },
+    {
+      "entropy": 7.119951963424683,
+      "epoch": 0.04971002485501243,
+      "grad_norm": 1.046875,
+      "learning_rate": 2.95e-05,
+      "loss": 6.8604,
+      "mean_token_accuracy": 0.09202293381094932,
+      "num_tokens": 109895.0,
+      "step": 60
+    },
+    {
+      "entropy": 7.2014998435974125,
+      "epoch": 0.053852526926263466,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.2e-05,
+      "loss": 6.8449,
+      "mean_token_accuracy": 0.09257669150829315,
+      "num_tokens": 119203.0,
+      "step": 65
+    },
+    {
+      "entropy": 7.1111664295196535,
+      "epoch": 0.0579950289975145,
+      "grad_norm": 1.1484375,
+      "learning_rate": 3.4500000000000005e-05,
+      "loss": 6.7903,
+      "mean_token_accuracy": 0.09657297283411026,
+      "num_tokens": 127572.0,
+      "step": 70
+    },
+    {
+      "entropy": 7.04930944442749,
+      "epoch": 0.06213753106876554,
+      "grad_norm": 1.03125,
+      "learning_rate": 3.7e-05,
+      "loss": 6.8304,
+      "mean_token_accuracy": 0.09063600301742554,
+      "num_tokens": 137161.0,
+      "step": 75
+    },
+    {
+      "entropy": 7.044711875915527,
+      "epoch": 0.06628003314001657,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.95e-05,
+      "loss": 6.9451,
+      "mean_token_accuracy": 0.08874713778495788,
+      "num_tokens": 145991.0,
+      "step": 80
+    },
+    {
+      "entropy": 7.130092525482178,
+      "epoch": 0.07042253521126761,
+      "grad_norm": 1.0546875,
+      "learning_rate": 4.2000000000000004e-05,
+      "loss": 6.8464,
+      "mean_token_accuracy": 0.08955071866512299,
+      "num_tokens": 154927.0,
+      "step": 85
+    },
+    {
+      "entropy": 7.090402746200562,
+      "epoch": 0.07456503728251865,
+      "grad_norm": 1.34375,
+      "learning_rate": 4.45e-05,
+      "loss": 6.7595,
+      "mean_token_accuracy": 0.09832768961787224,
+      "num_tokens": 163234.0,
+      "step": 90
+    },
+    {
+      "entropy": 7.08957576751709,
+      "epoch": 0.07870753935376967,
+      "grad_norm": 1.015625,
+      "learning_rate": 4.7000000000000004e-05,
+      "loss": 6.7163,
+      "mean_token_accuracy": 0.09379880875349045,
+      "num_tokens": 171554.0,
+      "step": 95
+    },
+    {
+      "entropy": 7.044517278671265,
+      "epoch": 0.08285004142502071,
+      "grad_norm": 1.1328125,
+      "learning_rate": 4.9500000000000004e-05,
+      "loss": 6.8173,
+      "mean_token_accuracy": 0.0955286517739296,
+      "num_tokens": 180171.0,
+      "step": 100
+    },
+    {
+      "entropy": 7.050950908660889,
+      "epoch": 0.08699254349627175,
+      "grad_norm": 1.0859375,
+      "learning_rate": 5.2e-05,
+      "loss": 6.761,
+      "mean_token_accuracy": 0.09741089940071106,
+      "num_tokens": 189216.0,
+      "step": 105
+    },
+    {
+      "entropy": 7.173562717437744,
+      "epoch": 0.09113504556752279,
+      "grad_norm": 1.015625,
+      "learning_rate": 5.45e-05,
+      "loss": 6.9519,
+      "mean_token_accuracy": 0.08675800338387489,
+      "num_tokens": 200022.0,
+      "step": 110
+    },
+    {
+      "entropy": 7.183744478225708,
+      "epoch": 0.09527754763877382,
+      "grad_norm": 1.2265625,
+      "learning_rate": 5.7e-05,
+      "loss": 6.8642,
+      "mean_token_accuracy": 0.09210581332445145,
+      "num_tokens": 208686.0,
+      "step": 115
+    },
+    {
+      "entropy": 7.121539115905762,
+      "epoch": 0.09942004971002485,
+      "grad_norm": 1.1875,
+      "learning_rate": 5.9499999999999996e-05,
+      "loss": 6.8829,
+      "mean_token_accuracy": 0.09462191313505172,
+      "num_tokens": 218266.0,
+      "step": 120
+    },
+    {
+      "entropy": 7.006736946105957,
+      "epoch": 0.1035625517812759,
+      "grad_norm": 1.046875,
+      "learning_rate": 6.2e-05,
+      "loss": 6.7523,
+      "mean_token_accuracy": 0.08771666437387467,
+      "num_tokens": 227658.0,
+      "step": 125
+    },
+    {
+      "entropy": 7.040027761459351,
+      "epoch": 0.10770505385252693,
+      "grad_norm": 1.1015625,
+      "learning_rate": 6.450000000000001e-05,
+      "loss": 6.7014,
+      "mean_token_accuracy": 0.1004502885043621,
+      "num_tokens": 236301.0,
+      "step": 130
+    },
+    {
+      "entropy": 7.106470441818237,
+      "epoch": 0.11184755592377796,
+      "grad_norm": 1.1171875,
+      "learning_rate": 6.7e-05,
+      "loss": 6.8424,
+      "mean_token_accuracy": 0.08812138065695763,
+      "num_tokens": 246355.0,
+      "step": 135
+    },
+    {
+      "entropy": 7.174679756164551,
+      "epoch": 0.115990057995029,
+      "grad_norm": 1.15625,
+      "learning_rate": 6.950000000000001e-05,
+      "loss": 6.8174,
+      "mean_token_accuracy": 0.0924198254942894,
+      "num_tokens": 256023.0,
+      "step": 140
+    },
+    {
+      "entropy": 7.10174069404602,
+      "epoch": 0.12013256006628004,
+      "grad_norm": 0.9921875,
+      "learning_rate": 7.2e-05,
+      "loss": 6.9036,
+      "mean_token_accuracy": 0.08638993799686431,
+      "num_tokens": 266893.0,
+      "step": 145
+    },
+    {
+      "entropy": 7.019921684265137,
+      "epoch": 0.12427506213753108,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7.45e-05,
+      "loss": 6.6606,
+      "mean_token_accuracy": 0.08872481286525727,
+      "num_tokens": 276075.0,
+      "step": 150
+    },
+    {
+      "entropy": 7.042754888534546,
+      "epoch": 0.12841756420878211,
+      "grad_norm": 1.25,
+      "learning_rate": 7.7e-05,
+      "loss": 6.7532,
+      "mean_token_accuracy": 0.09296932220458984,
+      "num_tokens": 285529.0,
+      "step": 155
+    },
+    {
+      "entropy": 7.064399909973145,
+      "epoch": 0.13256006628003314,
+      "grad_norm": 1.15625,
+      "learning_rate": 7.950000000000001e-05,
+      "loss": 6.762,
+      "mean_token_accuracy": 0.09406789913773536,
+      "num_tokens": 294403.0,
+      "step": 160
+    },
+    {
+      "entropy": 7.152362823486328,
+      "epoch": 0.13670256835128416,
+      "grad_norm": 1.28125,
+      "learning_rate": 8.2e-05,
+      "loss": 6.8553,
+      "mean_token_accuracy": 0.09358441680669785,
+      "num_tokens": 303507.0,
+      "step": 165
+    },
+    {
+      "entropy": 7.071487474441528,
+      "epoch": 0.14084507042253522,
+      "grad_norm": 1.21875,
+      "learning_rate": 8.450000000000001e-05,
+      "loss": 6.7534,
+      "mean_token_accuracy": 0.09645206108689308,
+      "num_tokens": 312393.0,
+      "step": 170
+    },
+    {
+      "entropy": 6.956210470199585,
+      "epoch": 0.14498757249378624,
+      "grad_norm": 1.0859375,
+      "learning_rate": 8.7e-05,
+      "loss": 6.7226,
+      "mean_token_accuracy": 0.09953253641724587,
+      "num_tokens": 321309.0,
+      "step": 175
+    },
+    {
+      "entropy": 7.2200812816619875,
+      "epoch": 0.1491300745650373,
+      "grad_norm": 1.1328125,
+      "learning_rate": 8.95e-05,
+      "loss": 6.7879,
+      "mean_token_accuracy": 0.09582221284508705,
+      "num_tokens": 330217.0,
+      "step": 180
+    },
+    {
+      "entropy": 6.964824962615967,
+      "epoch": 0.15327257663628832,
+      "grad_norm": 1.2109375,
+      "learning_rate": 9.2e-05,
+      "loss": 6.8296,
+      "mean_token_accuracy": 0.09584516286849976,
+      "num_tokens": 339587.0,
+      "step": 185
+    },
+    {
+      "entropy": 7.104565525054932,
+      "epoch": 0.15741507870753935,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.45e-05,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.09563353508710862,
+      "num_tokens": 349367.0,
+      "step": 190
+    },
+    {
+      "entropy": 6.90956711769104,
+      "epoch": 0.1615575807787904,
+      "grad_norm": 1.1953125,
+      "learning_rate": 9.7e-05,
+      "loss": 6.6535,
+      "mean_token_accuracy": 0.09533214569091797,
+      "num_tokens": 358272.0,
+      "step": 195
+    },
+    {
+      "entropy": 7.184430170059204,
+      "epoch": 0.16570008285004142,
+      "grad_norm": 1.1875,
+      "learning_rate": 9.95e-05,
+      "loss": 6.8847,
+      "mean_token_accuracy": 0.09342379868030548,
+      "num_tokens": 367709.0,
+      "step": 200
+    },
+    {
+      "entropy": 7.108258152008057,
+      "epoch": 0.16984258492129245,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000102,
+      "loss": 6.7363,
+      "mean_token_accuracy": 0.09321728497743606,
+      "num_tokens": 376180.0,
+      "step": 205
+    },
+    {
+      "entropy": 7.143853282928466,
+      "epoch": 0.1739850869925435,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00010449999999999999,
+      "loss": 6.8927,
+      "mean_token_accuracy": 0.08639989122748375,
+      "num_tokens": 385636.0,
+      "step": 210
+    },
+    {
+      "entropy": 7.005528688430786,
+      "epoch": 0.17812758906379453,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000107,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.10387283116579056,
+      "num_tokens": 394486.0,
+      "step": 215
+    },
+    {
+      "entropy": 7.066776275634766,
+      "epoch": 0.18227009113504558,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0001095,
+      "loss": 6.7286,
+      "mean_token_accuracy": 0.09739693626761436,
+      "num_tokens": 403765.0,
+      "step": 220
+    },
+    {
+      "entropy": 6.9391695022583,
+      "epoch": 0.1864125932062966,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000112,
+      "loss": 6.7198,
+      "mean_token_accuracy": 0.09883175939321517,
+      "num_tokens": 412988.0,
+      "step": 225
+    },
+    {
+      "entropy": 7.029045248031617,
+      "epoch": 0.19055509527754763,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0001145,
+      "loss": 6.6219,
+      "mean_token_accuracy": 0.09850638806819915,
+      "num_tokens": 422096.0,
+      "step": 230
+    },
+    {
+      "entropy": 7.055552911758423,
+      "epoch": 0.19469759734879868,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011700000000000001,
+      "loss": 6.7907,
+      "mean_token_accuracy": 0.08912368193268776,
+      "num_tokens": 431333.0,
+      "step": 235
+    },
+    {
+      "entropy": 7.076433277130127,
+      "epoch": 0.1988400994200497,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00011949999999999999,
+      "loss": 6.825,
+      "mean_token_accuracy": 0.0998022735118866,
+      "num_tokens": 440382.0,
+      "step": 240
+    },
+    {
+      "entropy": 7.098494958877564,
+      "epoch": 0.20298260149130073,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000122,
+      "loss": 6.7184,
+      "mean_token_accuracy": 0.1035430908203125,
+      "num_tokens": 448469.0,
+      "step": 245
+    },
+    {
+      "entropy": 7.065437746047974,
+      "epoch": 0.2071251035625518,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001245,
+      "loss": 6.7562,
+      "mean_token_accuracy": 0.0973759837448597,
+      "num_tokens": 457356.0,
+      "step": 250
+    },
+    {
+      "entropy": 7.103154182434082,
+      "epoch": 0.2112676056338028,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000127,
+      "loss": 6.7821,
+      "mean_token_accuracy": 0.09721289053559304,
+      "num_tokens": 465928.0,
+      "step": 255
+    },
+    {
+      "entropy": 6.99681601524353,
+      "epoch": 0.21541010770505387,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0001295,
+      "loss": 6.6931,
+      "mean_token_accuracy": 0.09931288808584213,
+      "num_tokens": 475269.0,
+      "step": 260
+    },
+    {
+      "entropy": 6.960800266265869,
+      "epoch": 0.2195526097763049,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000132,
+      "loss": 6.679,
+      "mean_token_accuracy": 0.09512786641716957,
+      "num_tokens": 485450.0,
+      "step": 265
+    },
+    {
+      "entropy": 7.0514568328857425,
+      "epoch": 0.22369511184755592,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00013450000000000002,
+      "loss": 6.7347,
+      "mean_token_accuracy": 0.10228226557374001,
+      "num_tokens": 494029.0,
+      "step": 270
+    },
+    {
+      "entropy": 6.9516912460327145,
+      "epoch": 0.22783761391880697,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013700000000000002,
+      "loss": 6.676,
+      "mean_token_accuracy": 0.10202871784567832,
+      "num_tokens": 503253.0,
+      "step": 275
+    },
+    {
+      "entropy": 7.018160057067871,
+      "epoch": 0.231980115990058,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0001395,
+      "loss": 6.6685,
+      "mean_token_accuracy": 0.09529435187578202,
+      "num_tokens": 512857.0,
+      "step": 280
+    },
+    {
+      "entropy": 6.9714985370635985,
+      "epoch": 0.23612261806130902,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00014199999999999998,
+      "loss": 6.7719,
+      "mean_token_accuracy": 0.09288227260112762,
+      "num_tokens": 522319.0,
+      "step": 285
+    },
+    {
+      "entropy": 7.113205528259277,
+      "epoch": 0.24026512013256007,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0001445,
+      "loss": 6.7224,
+      "mean_token_accuracy": 0.09471780881285667,
+      "num_tokens": 531469.0,
+      "step": 290
+    },
+    {
+      "entropy": 6.976934480667114,
+      "epoch": 0.2444076222038111,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000147,
+      "loss": 6.756,
+      "mean_token_accuracy": 0.09480062946677208,
+      "num_tokens": 540470.0,
+      "step": 295
+    },
+    {
+      "entropy": 7.011937475204467,
+      "epoch": 0.24855012427506215,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0001495,
+      "loss": 6.7584,
+      "mean_token_accuracy": 0.09700122326612473,
+      "num_tokens": 550317.0,
+      "step": 300
+    },
+    {
+      "entropy": 7.0365160465240475,
+      "epoch": 0.2526926263463132,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000152,
+      "loss": 6.7067,
+      "mean_token_accuracy": 0.09434132501482964,
+      "num_tokens": 559409.0,
+      "step": 305
+    },
+    {
+      "entropy": 6.928857326507568,
+      "epoch": 0.25683512841756423,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00015450000000000001,
+      "loss": 6.768,
+      "mean_token_accuracy": 0.10764710158109665,
+      "num_tokens": 568726.0,
+      "step": 310
+    },
+    {
+      "entropy": 7.103991413116455,
+      "epoch": 0.2609776304888152,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000157,
+      "loss": 6.7179,
+      "mean_token_accuracy": 0.0976541943848133,
+      "num_tokens": 577926.0,
+      "step": 315
+    },
+    {
+      "entropy": 7.047203779220581,
+      "epoch": 0.2651201325600663,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001595,
+      "loss": 6.7448,
+      "mean_token_accuracy": 0.09809661954641342,
+      "num_tokens": 586695.0,
+      "step": 320
+    },
+    {
+      "entropy": 7.039609956741333,
+      "epoch": 0.26926263463131733,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000162,
+      "loss": 6.771,
+      "mean_token_accuracy": 0.0949723981320858,
+      "num_tokens": 596250.0,
+      "step": 325
+    },
+    {
+      "entropy": 7.063632202148438,
+      "epoch": 0.27340513670256833,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00016450000000000001,
+      "loss": 6.8221,
+      "mean_token_accuracy": 0.09051206335425377,
+      "num_tokens": 605761.0,
+      "step": 330
+    },
+    {
+      "entropy": 7.019326877593994,
+      "epoch": 0.2775476387738194,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00016700000000000002,
+      "loss": 6.7365,
+      "mean_token_accuracy": 0.09872144013643265,
+      "num_tokens": 614313.0,
+      "step": 335
+    },
+    {
+      "entropy": 7.037422132492066,
+      "epoch": 0.28169014084507044,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00016950000000000003,
+      "loss": 6.7692,
+      "mean_token_accuracy": 0.09455474764108658,
+      "num_tokens": 624470.0,
+      "step": 340
+    },
+    {
+      "entropy": 7.039082098007202,
+      "epoch": 0.28583264291632143,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00017199999999999998,
+      "loss": 6.6843,
+      "mean_token_accuracy": 0.09269843101501465,
+      "num_tokens": 633458.0,
+      "step": 345
+    },
+    {
+      "entropy": 6.942268037796021,
+      "epoch": 0.2899751449875725,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00017449999999999999,
+      "loss": 6.6939,
+      "mean_token_accuracy": 0.09877684414386749,
+      "num_tokens": 643251.0,
+      "step": 350
+    },
+    {
+      "entropy": 6.99584732055664,
+      "epoch": 0.29411764705882354,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000177,
+      "loss": 6.7635,
+      "mean_token_accuracy": 0.09713540598750114,
+      "num_tokens": 652005.0,
+      "step": 355
+    },
+    {
+      "entropy": 7.006586170196533,
+      "epoch": 0.2982601491300746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0001795,
+      "loss": 6.6575,
+      "mean_token_accuracy": 0.10120807588100433,
+      "num_tokens": 661003.0,
+      "step": 360
+    },
+    {
+      "entropy": 6.874996137619019,
+      "epoch": 0.3024026512013256,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000182,
+      "loss": 6.6294,
+      "mean_token_accuracy": 0.09844254851341247,
+      "num_tokens": 670221.0,
+      "step": 365
+    },
+    {
+      "entropy": 7.155635738372803,
+      "epoch": 0.30654515327257664,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001845,
+      "loss": 6.9236,
+      "mean_token_accuracy": 0.0882349319756031,
+      "num_tokens": 680756.0,
+      "step": 370
+    },
+    {
+      "entropy": 6.94540753364563,
+      "epoch": 0.3106876553438277,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000187,
+      "loss": 6.6157,
+      "mean_token_accuracy": 0.10289054960012436,
+      "num_tokens": 689641.0,
+      "step": 375
+    },
+    {
+      "entropy": 6.87992377281189,
+      "epoch": 0.3148301574150787,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001895,
+      "loss": 6.5696,
+      "mean_token_accuracy": 0.09839320331811904,
+      "num_tokens": 698209.0,
+      "step": 380
+    },
+    {
+      "entropy": 6.823869276046753,
+      "epoch": 0.31897265948632975,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000192,
+      "loss": 6.5736,
+      "mean_token_accuracy": 0.10355777889490128,
+      "num_tokens": 706712.0,
+      "step": 385
+    },
+    {
+      "entropy": 7.037634468078613,
+      "epoch": 0.3231151615575808,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0001945,
+      "loss": 6.8017,
+      "mean_token_accuracy": 0.09728012606501579,
+      "num_tokens": 716087.0,
+      "step": 390
+    },
+    {
+      "entropy": 6.911249494552612,
+      "epoch": 0.3272576636288318,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00019700000000000002,
+      "loss": 6.6465,
+      "mean_token_accuracy": 0.09347675815224647,
+      "num_tokens": 725913.0,
+      "step": 395
+    },
+    {
+      "entropy": 6.944440317153931,
+      "epoch": 0.33140016570008285,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019950000000000002,
+      "loss": 6.7201,
+      "mean_token_accuracy": 0.10362306237220764,
+      "num_tokens": 735020.0,
+      "step": 400
+    },
+    {
+      "entropy": 6.985636854171753,
+      "epoch": 0.3355426677713339,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000202,
+      "loss": 6.6216,
+      "mean_token_accuracy": 0.09469136893749237,
+      "num_tokens": 744299.0,
+      "step": 405
+    },
+    {
+      "entropy": 6.883630275726318,
+      "epoch": 0.3396851698425849,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00020449999999999998,
+      "loss": 6.6099,
+      "mean_token_accuracy": 0.09694516137242318,
+      "num_tokens": 753231.0,
+      "step": 410
+    },
+    {
+      "entropy": 6.825357389450073,
+      "epoch": 0.34382767191383595,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000207,
+      "loss": 6.6717,
+      "mean_token_accuracy": 0.10230854973196983,
+      "num_tokens": 763043.0,
+      "step": 415
+    },
+    {
+      "entropy": 7.016851997375488,
+      "epoch": 0.347970173985087,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0002095,
+      "loss": 6.6905,
+      "mean_token_accuracy": 0.09913048222661018,
+      "num_tokens": 771977.0,
+      "step": 420
+    },
+    {
+      "entropy": 6.820244407653808,
+      "epoch": 0.352112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000212,
+      "loss": 6.6243,
+      "mean_token_accuracy": 0.1011092983186245,
+      "num_tokens": 780285.0,
+      "step": 425
+    },
+    {
+      "entropy": 6.956075525283813,
+      "epoch": 0.35625517812758906,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002145,
+      "loss": 6.6593,
+      "mean_token_accuracy": 0.09649045094847679,
+      "num_tokens": 789980.0,
+      "step": 430
+    },
+    {
+      "entropy": 6.984846019744873,
+      "epoch": 0.3603976801988401,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021700000000000002,
+      "loss": 6.6275,
+      "mean_token_accuracy": 0.10474459528923034,
+      "num_tokens": 798700.0,
+      "step": 435
+    },
+    {
+      "entropy": 6.767291498184204,
+      "epoch": 0.36454018227009116,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002195,
+      "loss": 6.7208,
+      "mean_token_accuracy": 0.09600067660212516,
+      "num_tokens": 808758.0,
+      "step": 440
+    },
+    {
+      "entropy": 7.046369791030884,
+      "epoch": 0.36868268434134216,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000222,
+      "loss": 6.6666,
+      "mean_token_accuracy": 0.10458802133798599,
+      "num_tokens": 817692.0,
+      "step": 445
+    },
+    {
+      "entropy": 6.95425066947937,
+      "epoch": 0.3728251864125932,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002245,
+      "loss": 6.7146,
+      "mean_token_accuracy": 0.10474570766091347,
+      "num_tokens": 827052.0,
+      "step": 450
+    },
+    {
+      "entropy": 6.895345544815063,
+      "epoch": 0.37696768848384427,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00022700000000000002,
+      "loss": 6.7139,
+      "mean_token_accuracy": 0.1091882586479187,
+      "num_tokens": 836442.0,
+      "step": 455
+    },
+    {
+      "entropy": 6.922871923446655,
+      "epoch": 0.38111019055509526,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00022950000000000002,
+      "loss": 6.5775,
+      "mean_token_accuracy": 0.10118989571928978,
+      "num_tokens": 846441.0,
+      "step": 460
+    },
+    {
+      "entropy": 6.8815388679504395,
+      "epoch": 0.3852526926263463,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00023200000000000003,
+      "loss": 6.6215,
+      "mean_token_accuracy": 0.10475475937128068,
+      "num_tokens": 856108.0,
+      "step": 465
+    },
+    {
+      "entropy": 6.848587274551392,
+      "epoch": 0.38939519469759737,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00023449999999999998,
+      "loss": 6.5833,
+      "mean_token_accuracy": 0.10137399956583977,
+      "num_tokens": 865788.0,
+      "step": 470
+    },
+    {
+      "entropy": 6.886804008483887,
+      "epoch": 0.39353769676884837,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000237,
+      "loss": 6.6302,
+      "mean_token_accuracy": 0.09514767676591873,
+      "num_tokens": 874833.0,
+      "step": 475
+    },
+    {
+      "entropy": 6.751422643661499,
+      "epoch": 0.3976801988400994,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002395,
+      "loss": 6.5997,
+      "mean_token_accuracy": 0.10276172533631325,
+      "num_tokens": 883685.0,
+      "step": 480
+    },
+    {
+      "entropy": 6.881311464309692,
+      "epoch": 0.40182270091135047,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000242,
+      "loss": 6.6001,
+      "mean_token_accuracy": 0.09796027019619942,
+      "num_tokens": 893908.0,
+      "step": 485
+    },
+    {
+      "entropy": 6.934821891784668,
+      "epoch": 0.40596520298260147,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002445,
+      "loss": 6.7142,
+      "mean_token_accuracy": 0.09827135354280472,
+      "num_tokens": 903081.0,
+      "step": 490
+    },
+    {
+      "entropy": 6.7868632793426515,
+      "epoch": 0.4101077050538525,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000247,
+      "loss": 6.5522,
+      "mean_token_accuracy": 0.10336750745773315,
+      "num_tokens": 912515.0,
+      "step": 495
+    },
+    {
+      "entropy": 6.886235475540161,
+      "epoch": 0.4142502071251036,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002495,
+      "loss": 6.5797,
+      "mean_token_accuracy": 0.1070313923060894,
+      "num_tokens": 921056.0,
+      "step": 500
+    },
+    {
+      "epoch": 0.4142502071251036,
+      "eval_entropy": 6.836038604728194,
+      "eval_loss": 6.684774875640869,
+      "eval_mean_token_accuracy": 0.10272799217021034,
+      "eval_num_tokens": 921056.0,
+      "eval_runtime": 2.7891,
+      "eval_samples_per_second": 1343.421,
+      "eval_steps_per_second": 168.152,
+      "step": 500
+    },
+    {
+      "entropy": 6.7657403469085695,
+      "epoch": 0.4183927091963546,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000252,
+      "loss": 6.5317,
+      "mean_token_accuracy": 0.10417452603578567,
+      "num_tokens": 931112.0,
+      "step": 505
+    },
+    {
+      "entropy": 6.821895503997803,
+      "epoch": 0.4225352112676056,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0002545,
+      "loss": 6.6605,
+      "mean_token_accuracy": 0.0978618748486042,
+      "num_tokens": 941120.0,
+      "step": 510
+    },
+    {
+      "entropy": 6.886211729049682,
+      "epoch": 0.4266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000257,
+      "loss": 6.6044,
+      "mean_token_accuracy": 0.09737976416945457,
+      "num_tokens": 950041.0,
+      "step": 515
+    },
+    {
+      "entropy": 6.879851579666138,
+      "epoch": 0.43082021541010773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002595,
+      "loss": 6.5907,
+      "mean_token_accuracy": 0.10606569275259972,
+      "num_tokens": 958608.0,
+      "step": 520
+    },
+    {
+      "entropy": 6.886484861373901,
+      "epoch": 0.43496271748135873,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.000262,
+      "loss": 6.7158,
+      "mean_token_accuracy": 0.09990910813212395,
+      "num_tokens": 966901.0,
+      "step": 525
+    },
+    {
+      "entropy": 6.767313003540039,
+      "epoch": 0.4391052195526098,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026450000000000003,
+      "loss": 6.5504,
+      "mean_token_accuracy": 0.10768762230873108,
+      "num_tokens": 976198.0,
+      "step": 530
+    },
+    {
+      "entropy": 6.892781782150268,
+      "epoch": 0.44324772162386084,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026700000000000004,
+      "loss": 6.624,
+      "mean_token_accuracy": 0.09861580505967141,
+      "num_tokens": 985248.0,
+      "step": 535
+    },
+    {
+      "entropy": 6.772344255447388,
+      "epoch": 0.44739022369511183,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00026950000000000005,
+      "loss": 6.5014,
+      "mean_token_accuracy": 0.1071978710591793,
+      "num_tokens": 993289.0,
+      "step": 540
+    },
+    {
+      "entropy": 6.820696449279785,
+      "epoch": 0.4515327257663629,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027200000000000005,
+      "loss": 6.5909,
+      "mean_token_accuracy": 0.10533165782690049,
+      "num_tokens": 1001784.0,
+      "step": 545
+    },
+    {
+      "entropy": 6.935409688949585,
+      "epoch": 0.45567522783761394,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002745,
+      "loss": 6.5627,
+      "mean_token_accuracy": 0.10804210156202317,
+      "num_tokens": 1010445.0,
+      "step": 550
+    },
+    {
+      "entropy": 6.745790100097656,
+      "epoch": 0.45981772990886494,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000277,
+      "loss": 6.6184,
+      "mean_token_accuracy": 0.10709234476089477,
+      "num_tokens": 1019084.0,
+      "step": 555
+    },
+    {
+      "entropy": 6.7490733623504635,
+      "epoch": 0.463960231980116,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002795,
+      "loss": 6.5249,
+      "mean_token_accuracy": 0.10461713373661041,
+      "num_tokens": 1027263.0,
+      "step": 560
+    },
+    {
+      "entropy": 6.876884937286377,
+      "epoch": 0.46810273405136704,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00028199999999999997,
+      "loss": 6.6233,
+      "mean_token_accuracy": 0.09752989709377288,
+      "num_tokens": 1036275.0,
+      "step": 565
+    },
+    {
+      "entropy": 6.765736055374146,
+      "epoch": 0.47224523612261804,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002845,
+      "loss": 6.7015,
+      "mean_token_accuracy": 0.09858408868312836,
+      "num_tokens": 1045208.0,
+      "step": 570
+    },
+    {
+      "entropy": 6.9024957656860355,
+      "epoch": 0.4763877381938691,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000287,
+      "loss": 6.6287,
+      "mean_token_accuracy": 0.1026283286511898,
+      "num_tokens": 1054703.0,
+      "step": 575
+    },
+    {
+      "entropy": 6.647345924377442,
+      "epoch": 0.48053024026512015,
+      "grad_norm": 1.5,
+      "learning_rate": 0.0002895,
+      "loss": 6.4841,
+      "mean_token_accuracy": 0.10212503597140313,
+      "num_tokens": 1063652.0,
+      "step": 580
+    },
+    {
+      "entropy": 6.717900657653809,
+      "epoch": 0.48467274233637114,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000292,
+      "loss": 6.5873,
+      "mean_token_accuracy": 0.10145951434969902,
+      "num_tokens": 1072070.0,
+      "step": 585
+    },
+    {
+      "entropy": 6.997959756851197,
+      "epoch": 0.4888152444076222,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002945,
+      "loss": 6.6143,
+      "mean_token_accuracy": 0.10064447894692422,
+      "num_tokens": 1079992.0,
+      "step": 590
+    },
+    {
+      "entropy": 6.657160854339599,
+      "epoch": 0.49295774647887325,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000297,
+      "loss": 6.628,
+      "mean_token_accuracy": 0.10435748845338821,
+      "num_tokens": 1088862.0,
+      "step": 595
+    },
+    {
+      "entropy": 6.773271942138672,
+      "epoch": 0.4971002485501243,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002995,
+      "loss": 6.4317,
+      "mean_token_accuracy": 0.10795770138502121,
+      "num_tokens": 1097614.0,
+      "step": 600
+    },
+    {
+      "entropy": 6.7102379322052,
+      "epoch": 0.5012427506213754,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000302,
+      "loss": 6.6288,
+      "mean_token_accuracy": 0.10706980749964715,
+      "num_tokens": 1107347.0,
+      "step": 605
+    },
+    {
+      "entropy": 6.8672473430633545,
+      "epoch": 0.5053852526926264,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003045,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10073774978518486,
+      "num_tokens": 1116707.0,
+      "step": 610
+    },
+    {
+      "entropy": 6.764383840560913,
+      "epoch": 0.5095277547638773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000307,
+      "loss": 6.6549,
+      "mean_token_accuracy": 0.10234303548932075,
+      "num_tokens": 1126356.0,
+      "step": 615
+    },
+    {
+      "entropy": 6.787193298339844,
+      "epoch": 0.5136702568351285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003095,
+      "loss": 6.5847,
+      "mean_token_accuracy": 0.10079671740531922,
+      "num_tokens": 1136281.0,
+      "step": 620
+    },
+    {
+      "entropy": 6.713733196258545,
+      "epoch": 0.5178127589063795,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000312,
+      "loss": 6.5355,
+      "mean_token_accuracy": 0.10429632142186165,
+      "num_tokens": 1145466.0,
+      "step": 625
+    },
+    {
+      "entropy": 6.7503923892974855,
+      "epoch": 0.5219552609776305,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003145,
+      "loss": 6.5409,
+      "mean_token_accuracy": 0.10918259546160698,
+      "num_tokens": 1154225.0,
+      "step": 630
+    },
+    {
+      "entropy": 6.761834907531738,
+      "epoch": 0.5260977630488816,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000317,
+      "loss": 6.5885,
+      "mean_token_accuracy": 0.09673135951161385,
+      "num_tokens": 1163872.0,
+      "step": 635
+    },
+    {
+      "entropy": 6.69431324005127,
+      "epoch": 0.5302402651201326,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003195,
+      "loss": 6.5244,
+      "mean_token_accuracy": 0.10705070868134499,
+      "num_tokens": 1172695.0,
+      "step": 640
+    },
+    {
+      "entropy": 6.651590061187744,
+      "epoch": 0.5343827671913836,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000322,
+      "loss": 6.3962,
+      "mean_token_accuracy": 0.11006554961204529,
+      "num_tokens": 1181291.0,
+      "step": 645
+    },
+    {
+      "entropy": 6.782713270187378,
+      "epoch": 0.5385252692626347,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00032450000000000003,
+      "loss": 6.5715,
+      "mean_token_accuracy": 0.10394523739814758,
+      "num_tokens": 1189927.0,
+      "step": 650
+    },
+    {
+      "entropy": 6.705166435241699,
+      "epoch": 0.5426677713338857,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00032700000000000003,
+      "loss": 6.5043,
+      "mean_token_accuracy": 0.10940467119216919,
+      "num_tokens": 1197913.0,
+      "step": 655
+    },
+    {
+      "entropy": 6.670699262619019,
+      "epoch": 0.5468102734051367,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032950000000000004,
+      "loss": 6.4309,
+      "mean_token_accuracy": 0.11147961542010307,
+      "num_tokens": 1207032.0,
+      "step": 660
+    },
+    {
+      "entropy": 6.640204334259034,
+      "epoch": 0.5509527754763878,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00033200000000000005,
+      "loss": 6.5397,
+      "mean_token_accuracy": 0.10571447387337685,
+      "num_tokens": 1215710.0,
+      "step": 665
+    },
+    {
+      "entropy": 6.694819068908691,
+      "epoch": 0.5550952775476388,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033450000000000005,
+      "loss": 6.52,
+      "mean_token_accuracy": 0.10049431845545768,
+      "num_tokens": 1225619.0,
+      "step": 670
+    },
+    {
+      "entropy": 6.649594163894653,
+      "epoch": 0.5592377796188898,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000337,
+      "loss": 6.4407,
+      "mean_token_accuracy": 0.11157044768333435,
+      "num_tokens": 1235000.0,
+      "step": 675
+    },
+    {
+      "entropy": 6.612611961364746,
+      "epoch": 0.5633802816901409,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003395,
+      "loss": 6.4462,
+      "mean_token_accuracy": 0.108580531924963,
+      "num_tokens": 1243594.0,
+      "step": 680
+    },
+    {
+      "entropy": 6.843221950531006,
+      "epoch": 0.5675227837613919,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000342,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10460855960845947,
+      "num_tokens": 1252279.0,
+      "step": 685
+    },
+    {
+      "entropy": 6.760235929489136,
+      "epoch": 0.5716652858326429,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034449999999999997,
+      "loss": 6.559,
+      "mean_token_accuracy": 0.10665302500128745,
+      "num_tokens": 1261314.0,
+      "step": 690
+    },
+    {
+      "entropy": 6.55326566696167,
+      "epoch": 0.575807787903894,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000347,
+      "loss": 6.4337,
+      "mean_token_accuracy": 0.11188110187649727,
+      "num_tokens": 1270854.0,
+      "step": 695
+    },
+    {
+      "entropy": 6.618375587463379,
+      "epoch": 0.579950289975145,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003495,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.11392810270190239,
+      "num_tokens": 1279183.0,
+      "step": 700
+    },
+    {
+      "entropy": 6.626208257675171,
+      "epoch": 0.584092792046396,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000352,
+      "loss": 6.5015,
+      "mean_token_accuracy": 0.10761247500777245,
+      "num_tokens": 1288347.0,
+      "step": 705
+    },
+    {
+      "entropy": 6.6855669021606445,
+      "epoch": 0.5882352941176471,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003545,
+      "loss": 6.5036,
+      "mean_token_accuracy": 0.10823310390114785,
+      "num_tokens": 1297449.0,
+      "step": 710
+    },
+    {
+      "entropy": 6.710147094726563,
+      "epoch": 0.5923777961888981,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000357,
+      "loss": 6.4688,
+      "mean_token_accuracy": 0.10904998034238815,
+      "num_tokens": 1306232.0,
+      "step": 715
+    },
+    {
+      "entropy": 6.6553794860839846,
+      "epoch": 0.5965202982601492,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003595,
+      "loss": 6.4857,
+      "mean_token_accuracy": 0.11109372302889824,
+      "num_tokens": 1315073.0,
+      "step": 720
+    },
+    {
+      "entropy": 6.674065732955933,
+      "epoch": 0.6006628003314002,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000362,
+      "loss": 6.5301,
+      "mean_token_accuracy": 0.10648825243115426,
+      "num_tokens": 1324629.0,
+      "step": 725
+    },
+    {
+      "entropy": 6.700368881225586,
+      "epoch": 0.6048053024026512,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0003645,
+      "loss": 6.6444,
+      "mean_token_accuracy": 0.10443340390920638,
+      "num_tokens": 1334152.0,
+      "step": 730
+    },
+    {
+      "entropy": 6.779498624801636,
+      "epoch": 0.6089478044739023,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000367,
+      "loss": 6.5946,
+      "mean_token_accuracy": 0.10130336955189705,
+      "num_tokens": 1343063.0,
+      "step": 735
+    },
+    {
+      "entropy": 6.684298419952393,
+      "epoch": 0.6130903065451533,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0003695,
+      "loss": 6.5241,
+      "mean_token_accuracy": 0.10516620799899101,
+      "num_tokens": 1352632.0,
+      "step": 740
+    },
+    {
+      "entropy": 6.582866573333741,
+      "epoch": 0.6172328086164043,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000372,
+      "loss": 6.4712,
+      "mean_token_accuracy": 0.10765027329325676,
+      "num_tokens": 1361103.0,
+      "step": 745
+    },
+    {
+      "entropy": 6.643687963485718,
+      "epoch": 0.6213753106876554,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003745,
+      "loss": 6.4642,
+      "mean_token_accuracy": 0.10832677409052849,
+      "num_tokens": 1370658.0,
+      "step": 750
+    },
+    {
+      "entropy": 6.64506516456604,
+      "epoch": 0.6255178127589064,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000377,
+      "loss": 6.4878,
+      "mean_token_accuracy": 0.10808288529515267,
+      "num_tokens": 1379817.0,
+      "step": 755
+    },
+    {
+      "entropy": 6.640752458572388,
+      "epoch": 0.6296603148301574,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003795,
+      "loss": 6.4418,
+      "mean_token_accuracy": 0.10874675288796425,
+      "num_tokens": 1389329.0,
+      "step": 760
+    },
+    {
+      "entropy": 6.4627049446105955,
+      "epoch": 0.6338028169014085,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000382,
+      "loss": 6.4902,
+      "mean_token_accuracy": 0.10606684386730195,
+      "num_tokens": 1399279.0,
+      "step": 765
+    },
+    {
+      "entropy": 6.621781063079834,
+      "epoch": 0.6379453189726595,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003845,
+      "loss": 6.4146,
+      "mean_token_accuracy": 0.11267002299427986,
+      "num_tokens": 1408765.0,
+      "step": 770
+    },
+    {
+      "entropy": 6.736465692520142,
+      "epoch": 0.6420878210439105,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038700000000000003,
+      "loss": 6.5632,
+      "mean_token_accuracy": 0.10607504546642303,
+      "num_tokens": 1418615.0,
+      "step": 775
+    },
+    {
+      "entropy": 6.616378879547119,
+      "epoch": 0.6462303231151616,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038950000000000003,
+      "loss": 6.4664,
+      "mean_token_accuracy": 0.10207068845629692,
+      "num_tokens": 1427359.0,
+      "step": 780
+    },
+    {
+      "entropy": 6.70065336227417,
+      "epoch": 0.6503728251864126,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00039200000000000004,
+      "loss": 6.622,
+      "mean_token_accuracy": 0.1116428442299366,
+      "num_tokens": 1435516.0,
+      "step": 785
+    },
+    {
+      "entropy": 6.709064102172851,
+      "epoch": 0.6545153272576636,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00039450000000000005,
+      "loss": 6.5704,
+      "mean_token_accuracy": 0.10583743155002594,
+      "num_tokens": 1444438.0,
+      "step": 790
+    },
+    {
+      "entropy": 6.671351766586303,
+      "epoch": 0.6586578293289147,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00039700000000000005,
+      "loss": 6.4996,
+      "mean_token_accuracy": 0.11326526403427124,
+      "num_tokens": 1453740.0,
+      "step": 795
+    },
+    {
+      "entropy": 6.614573907852173,
+      "epoch": 0.6628003314001657,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003995,
+      "loss": 6.4874,
+      "mean_token_accuracy": 0.11111863479018211,
+      "num_tokens": 1462083.0,
+      "step": 800
+    },
+    {
+      "entropy": 6.484545516967773,
+      "epoch": 0.6669428334714167,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000402,
+      "loss": 6.4127,
+      "mean_token_accuracy": 0.1100592203438282,
+      "num_tokens": 1471459.0,
+      "step": 805
+    },
+    {
+      "entropy": 6.621589279174804,
+      "epoch": 0.6710853355426678,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004045,
+      "loss": 6.3972,
+      "mean_token_accuracy": 0.11681128293275833,
+      "num_tokens": 1480516.0,
+      "step": 810
+    },
+    {
+      "entropy": 6.421737241744995,
+      "epoch": 0.6752278376139188,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00040699999999999997,
+      "loss": 6.3,
+      "mean_token_accuracy": 0.11318568140268326,
+      "num_tokens": 1489268.0,
+      "step": 815
+    },
+    {
+      "entropy": 6.700246906280517,
+      "epoch": 0.6793703396851698,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004095,
+      "loss": 6.5174,
+      "mean_token_accuracy": 0.11110908538103104,
+      "num_tokens": 1498819.0,
+      "step": 820
+    },
+    {
+      "entropy": 6.622490644454956,
+      "epoch": 0.6835128417564209,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000412,
+      "loss": 6.501,
+      "mean_token_accuracy": 0.11033953949809075,
+      "num_tokens": 1507852.0,
+      "step": 825
+    },
+    {
+      "entropy": 6.59730544090271,
+      "epoch": 0.6876553438276719,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004145,
+      "loss": 6.5302,
+      "mean_token_accuracy": 0.11122860461473465,
+      "num_tokens": 1517538.0,
+      "step": 830
+    },
+    {
+      "entropy": 6.458763217926025,
+      "epoch": 0.6917978458989229,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000417,
+      "loss": 6.4061,
+      "mean_token_accuracy": 0.11324542313814163,
+      "num_tokens": 1525389.0,
+      "step": 835
+    },
+    {
+      "entropy": 6.57511887550354,
+      "epoch": 0.695940347970174,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004195,
+      "loss": 6.3741,
+      "mean_token_accuracy": 0.11116622686386109,
+      "num_tokens": 1534117.0,
+      "step": 840
+    },
+    {
+      "entropy": 6.522304344177246,
+      "epoch": 0.700082850041425,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000422,
+      "loss": 6.4029,
+      "mean_token_accuracy": 0.11315450444817543,
+      "num_tokens": 1542610.0,
+      "step": 845
+    },
+    {
+      "entropy": 6.5175107479095455,
+      "epoch": 0.704225352112676,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004245,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.1143906556069851,
+      "num_tokens": 1551771.0,
+      "step": 850
+    },
+    {
+      "entropy": 6.620167636871338,
+      "epoch": 0.7083678541839271,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.000427,
+      "loss": 6.5779,
+      "mean_token_accuracy": 0.10512799099087715,
+      "num_tokens": 1560231.0,
+      "step": 855
+    },
+    {
+      "entropy": 6.589151382446289,
+      "epoch": 0.7125103562551781,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004295,
+      "loss": 6.5346,
+      "mean_token_accuracy": 0.10532297939062119,
+      "num_tokens": 1569578.0,
+      "step": 860
+    },
+    {
+      "entropy": 6.563750839233398,
+      "epoch": 0.7166528583264291,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000432,
+      "loss": 6.4187,
+      "mean_token_accuracy": 0.11381370946764946,
+      "num_tokens": 1579308.0,
+      "step": 865
+    },
+    {
+      "entropy": 6.597287034988403,
+      "epoch": 0.7207953603976802,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004345,
+      "loss": 6.6081,
+      "mean_token_accuracy": 0.10267190784215927,
+      "num_tokens": 1589506.0,
+      "step": 870
+    },
+    {
+      "entropy": 6.482245397567749,
+      "epoch": 0.7249378624689312,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000437,
+      "loss": 6.3671,
+      "mean_token_accuracy": 0.11368186473846435,
+      "num_tokens": 1598127.0,
+      "step": 875
+    },
+    {
+      "entropy": 6.548954200744629,
+      "epoch": 0.7290803645401823,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004395,
+      "loss": 6.4125,
+      "mean_token_accuracy": 0.11406067088246345,
+      "num_tokens": 1608073.0,
+      "step": 880
+    },
+    {
+      "entropy": 6.551317119598389,
+      "epoch": 0.7332228666114333,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000442,
+      "loss": 6.4304,
+      "mean_token_accuracy": 0.11178040653467178,
+      "num_tokens": 1616272.0,
+      "step": 885
+    },
+    {
+      "entropy": 6.496135663986206,
+      "epoch": 0.7373653686826843,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004445,
+      "loss": 6.447,
+      "mean_token_accuracy": 0.10845504105091094,
+      "num_tokens": 1625577.0,
+      "step": 890
+    },
+    {
+      "entropy": 6.685812950134277,
+      "epoch": 0.7415078707539354,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000447,
+      "loss": 6.533,
+      "mean_token_accuracy": 0.10158233270049095,
+      "num_tokens": 1634902.0,
+      "step": 895
+    },
+    {
+      "entropy": 6.520436191558838,
+      "epoch": 0.7456503728251864,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00044950000000000003,
+      "loss": 6.4674,
+      "mean_token_accuracy": 0.10865833014249801,
+      "num_tokens": 1644131.0,
+      "step": 900
+    },
+    {
+      "entropy": 6.461379718780518,
+      "epoch": 0.7497928748964374,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00045200000000000004,
+      "loss": 6.3694,
+      "mean_token_accuracy": 0.12158194407820702,
+      "num_tokens": 1652272.0,
+      "step": 905
+    },
+    {
+      "entropy": 6.533070278167725,
+      "epoch": 0.7539353769676885,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00045450000000000004,
+      "loss": 6.4632,
+      "mean_token_accuracy": 0.11447574123740197,
+      "num_tokens": 1660962.0,
+      "step": 910
+    },
+    {
+      "entropy": 6.475569725036621,
+      "epoch": 0.7580778790389395,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045700000000000005,
+      "loss": 6.4006,
+      "mean_token_accuracy": 0.11205699220299721,
+      "num_tokens": 1670570.0,
+      "step": 915
+    },
+    {
+      "entropy": 6.526782608032226,
+      "epoch": 0.7622203811101905,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00045950000000000006,
+      "loss": 6.4497,
+      "mean_token_accuracy": 0.1096197433769703,
+      "num_tokens": 1679674.0,
+      "step": 920
+    },
+    {
+      "entropy": 6.530770015716553,
+      "epoch": 0.7663628831814416,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000462,
+      "loss": 6.4324,
+      "mean_token_accuracy": 0.11466658413410187,
+      "num_tokens": 1688849.0,
+      "step": 925
+    },
+    {
+      "entropy": 6.4163538932800295,
+      "epoch": 0.7705053852526926,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004645,
+      "loss": 6.3128,
+      "mean_token_accuracy": 0.1098814107477665,
+      "num_tokens": 1698565.0,
+      "step": 930
+    },
+    {
+      "entropy": 6.5036052703857425,
+      "epoch": 0.7746478873239436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000467,
+      "loss": 6.3986,
+      "mean_token_accuracy": 0.11683695837855339,
+      "num_tokens": 1708009.0,
+      "step": 935
+    },
+    {
+      "entropy": 6.518198871612549,
+      "epoch": 0.7787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004695,
+      "loss": 6.3878,
+      "mean_token_accuracy": 0.1126109592616558,
+      "num_tokens": 1716497.0,
+      "step": 940
+    },
+    {
+      "entropy": 6.415347719192505,
+      "epoch": 0.7829328914664457,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000472,
+      "loss": 6.4082,
+      "mean_token_accuracy": 0.12070046439766884,
+      "num_tokens": 1725609.0,
+      "step": 945
+    },
+    {
+      "entropy": 6.477306175231933,
+      "epoch": 0.7870753935376967,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004745,
+      "loss": 6.3456,
+      "mean_token_accuracy": 0.11454906165599824,
+      "num_tokens": 1734165.0,
+      "step": 950
+    },
+    {
+      "entropy": 6.454520893096924,
+      "epoch": 0.7912178956089478,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000477,
+      "loss": 6.4546,
+      "mean_token_accuracy": 0.10918105840682983,
+      "num_tokens": 1744856.0,
+      "step": 955
+    },
+    {
+      "entropy": 6.4711943626403805,
+      "epoch": 0.7953603976801988,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004795,
+      "loss": 6.4509,
+      "mean_token_accuracy": 0.10578904524445534,
+      "num_tokens": 1753386.0,
+      "step": 960
+    },
+    {
+      "entropy": 6.4536961078643795,
+      "epoch": 0.7995028997514498,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000482,
+      "loss": 6.3053,
+      "mean_token_accuracy": 0.11872726455330848,
+      "num_tokens": 1762521.0,
+      "step": 965
+    },
+    {
+      "entropy": 6.34936490058899,
+      "epoch": 0.8036454018227009,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004845,
+      "loss": 6.3765,
+      "mean_token_accuracy": 0.11444728896021843,
+      "num_tokens": 1772403.0,
+      "step": 970
+    },
+    {
+      "entropy": 6.375087881088257,
+      "epoch": 0.8077879038939519,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000487,
+      "loss": 6.2884,
+      "mean_token_accuracy": 0.11179185584187508,
+      "num_tokens": 1780924.0,
+      "step": 975
+    },
+    {
+      "entropy": 6.547906732559204,
+      "epoch": 0.8119304059652029,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004895,
+      "loss": 6.4367,
+      "mean_token_accuracy": 0.11225800514221192,
+      "num_tokens": 1789992.0,
+      "step": 980
+    },
+    {
+      "entropy": 6.421040678024292,
+      "epoch": 0.816072908036454,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000492,
+      "loss": 6.3919,
+      "mean_token_accuracy": 0.11761699616909027,
+      "num_tokens": 1799513.0,
+      "step": 985
+    },
+    {
+      "entropy": 6.332476711273193,
+      "epoch": 0.820215410107705,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0004945,
+      "loss": 6.2287,
+      "mean_token_accuracy": 0.11279567033052444,
+      "num_tokens": 1807393.0,
+      "step": 990
+    },
+    {
+      "entropy": 6.438618326187134,
+      "epoch": 0.824357912178956,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000497,
+      "loss": 6.5079,
+      "mean_token_accuracy": 0.10579989776015282,
+      "num_tokens": 1817284.0,
+      "step": 995
+    },
+    {
+      "entropy": 6.449818515777588,
+      "epoch": 0.8285004142502072,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004995,
+      "loss": 6.2996,
+      "mean_token_accuracy": 0.11799877136945724,
+      "num_tokens": 1825591.0,
+      "step": 1000
+    },
+    {
+      "epoch": 0.8285004142502072,
+      "eval_entropy": 6.222835092402216,
+      "eval_loss": 6.475013256072998,
+      "eval_mean_token_accuracy": 0.11269166863866961,
+      "eval_num_tokens": 1825591.0,
+      "eval_runtime": 2.7611,
+      "eval_samples_per_second": 1357.068,
+      "eval_steps_per_second": 169.86,
+      "step": 1000
+    },
+    {
+      "entropy": 6.457831478118896,
+      "epoch": 0.8326429163214581,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0004999998547681232,
+      "loss": 6.3959,
+      "mean_token_accuracy": 0.11798396334052086,
+      "num_tokens": 1834655.0,
+      "step": 1005
+    },
+    {
+      "entropy": 6.26599349975586,
+      "epoch": 0.8367854183927091,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004999992647639447,
+      "loss": 6.2578,
+      "mean_token_accuracy": 0.11858200430870056,
+      "num_tokens": 1844187.0,
+      "step": 1010
+    },
+    {
+      "entropy": 6.415271520614624,
+      "epoch": 0.8409279204639603,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999982209116618,
+      "loss": 6.3345,
+      "mean_token_accuracy": 0.11406200677156449,
+      "num_tokens": 1852768.0,
+      "step": 1015
+    },
+    {
+      "entropy": 6.355557584762574,
+      "epoch": 0.8450704225352113,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004999967232133796,
+      "loss": 6.3913,
+      "mean_token_accuracy": 0.12348653748631477,
+      "num_tokens": 1862095.0,
+      "step": 1020
+    },
+    {
+      "entropy": 6.427043008804321,
+      "epoch": 0.8492129246064622,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004999947716721196,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.10961534604430198,
+      "num_tokens": 1871239.0,
+      "step": 1025
+    },
+    {
+      "entropy": 6.509608554840088,
+      "epoch": 0.8533554266777134,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004999923662918179,
+      "loss": 6.4323,
+      "mean_token_accuracy": 0.11334251016378402,
+      "num_tokens": 1880065.0,
+      "step": 1030
+    },
+    {
+      "entropy": 6.417975521087646,
+      "epoch": 0.8574979287489644,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999895070773266,
+      "loss": 6.4608,
+      "mean_token_accuracy": 0.10985229611396789,
+      "num_tokens": 1889065.0,
+      "step": 1035
+    },
+    {
+      "entropy": 6.429206514358521,
+      "epoch": 0.8616404308202155,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999861940344129,
+      "loss": 6.4721,
+      "mean_token_accuracy": 0.11190373301506043,
+      "num_tokens": 1898238.0,
+      "step": 1040
+    },
+    {
+      "entropy": 6.462369585037232,
+      "epoch": 0.8657829328914665,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004999824271697597,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.12136606723070145,
+      "num_tokens": 1906780.0,
+      "step": 1045
+    },
+    {
+      "entropy": 6.506088638305664,
+      "epoch": 0.8699254349627175,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000499978206490965,
+      "loss": 6.4745,
+      "mean_token_accuracy": 0.11197563111782075,
+      "num_tokens": 1916183.0,
+      "step": 1050
+    },
+    {
+      "entropy": 6.427097368240356,
+      "epoch": 0.8740679370339686,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999735320065427,
+      "loss": 6.3371,
+      "mean_token_accuracy": 0.11927392706274986,
+      "num_tokens": 1925382.0,
+      "step": 1055
+    },
+    {
+      "entropy": 6.292429256439209,
+      "epoch": 0.8782104391052196,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999684037259216,
+      "loss": 6.1827,
+      "mean_token_accuracy": 0.1270924136042595,
+      "num_tokens": 1933639.0,
+      "step": 1060
+    },
+    {
+      "entropy": 6.3600146770477295,
+      "epoch": 0.8823529411764706,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999628216594456,
+      "loss": 6.464,
+      "mean_token_accuracy": 0.11409285366535186,
+      "num_tokens": 1943044.0,
+      "step": 1065
+    },
+    {
+      "entropy": 6.460871028900146,
+      "epoch": 0.8864954432477217,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000499956785818375,
+      "loss": 6.303,
+      "mean_token_accuracy": 0.11871922463178634,
+      "num_tokens": 1951777.0,
+      "step": 1070
+    },
+    {
+      "entropy": 6.376981210708618,
+      "epoch": 0.8906379453189727,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004999502962148843,
+      "loss": 6.3666,
+      "mean_token_accuracy": 0.1170460693538189,
+      "num_tokens": 1961356.0,
+      "step": 1075
+    },
+    {
+      "entropy": 6.439280414581299,
+      "epoch": 0.8947804473902237,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000499943352862064,
+      "loss": 6.4248,
+      "mean_token_accuracy": 0.11459407210350037,
+      "num_tokens": 1970341.0,
+      "step": 1080
+    },
+    {
+      "entropy": 6.394289827346801,
+      "epoch": 0.8989229494614748,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004999359557739194,
+      "loss": 6.2796,
+      "mean_token_accuracy": 0.12198276743292809,
+      "num_tokens": 1978576.0,
+      "step": 1085
+    },
+    {
+      "entropy": 6.319045782089233,
+      "epoch": 0.9030654515327258,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004999281049653713,
+      "loss": 6.3227,
+      "mean_token_accuracy": 0.11601013913750649,
+      "num_tokens": 1987229.0,
+      "step": 1090
+    },
+    {
+      "entropy": 6.376017141342163,
+      "epoch": 0.9072079536039768,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999198004522557,
+      "loss": 6.261,
+      "mean_token_accuracy": 0.12269015237689018,
+      "num_tokens": 1996473.0,
+      "step": 1095
+    },
+    {
+      "entropy": 6.2405853271484375,
+      "epoch": 0.9113504556752279,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999110422513237,
+      "loss": 6.286,
+      "mean_token_accuracy": 0.12056776732206345,
+      "num_tokens": 2005551.0,
+      "step": 1100
+    },
+    {
+      "entropy": 6.398191165924072,
+      "epoch": 0.9154929577464789,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999018303802414,
+      "loss": 6.3869,
+      "mean_token_accuracy": 0.11947718560695648,
+      "num_tokens": 2015012.0,
+      "step": 1105
+    },
+    {
+      "entropy": 6.374700450897217,
+      "epoch": 0.9196354598177299,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004998921648575904,
+      "loss": 6.3999,
+      "mean_token_accuracy": 0.1203969657421112,
+      "num_tokens": 2024435.0,
+      "step": 1110
+    },
+    {
+      "entropy": 6.380674362182617,
+      "epoch": 0.923777961888981,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004998820457028669,
+      "loss": 6.3005,
+      "mean_token_accuracy": 0.12089794874191284,
+      "num_tokens": 2033991.0,
+      "step": 1115
+    },
+    {
+      "entropy": 6.409522771835327,
+      "epoch": 0.927920463960232,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998714729364824,
+      "loss": 6.3017,
+      "mean_token_accuracy": 0.1228084571659565,
+      "num_tokens": 2043117.0,
+      "step": 1120
+    },
+    {
+      "entropy": 6.326260423660278,
+      "epoch": 0.932062966031483,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004998604465797634,
+      "loss": 6.3305,
+      "mean_token_accuracy": 0.11992078274488449,
+      "num_tokens": 2052304.0,
+      "step": 1125
+    },
+    {
+      "entropy": 6.251798295974732,
+      "epoch": 0.9362054681027341,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998489666549512,
+      "loss": 6.2779,
+      "mean_token_accuracy": 0.12114684730768203,
+      "num_tokens": 2061217.0,
+      "step": 1130
+    },
+    {
+      "entropy": 6.319644594192505,
+      "epoch": 0.9403479701739851,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.0004998370331852021,
+      "loss": 6.2517,
+      "mean_token_accuracy": 0.11879112273454666,
+      "num_tokens": 2070796.0,
+      "step": 1135
+    },
+    {
+      "entropy": 6.465651321411133,
+      "epoch": 0.9444904722452361,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004998246461945872,
+      "loss": 6.4037,
+      "mean_token_accuracy": 0.12191760018467904,
+      "num_tokens": 2080202.0,
+      "step": 1140
+    },
+    {
+      "entropy": 6.320812797546386,
+      "epoch": 0.9486329743164872,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004998118057080923,
+      "loss": 6.3045,
+      "mean_token_accuracy": 0.11891168132424354,
+      "num_tokens": 2089788.0,
+      "step": 1145
+    },
+    {
+      "entropy": 6.301202344894409,
+      "epoch": 0.9527754763877382,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004997985117516183,
+      "loss": 6.3462,
+      "mean_token_accuracy": 0.11142431199550629,
+      "num_tokens": 2098727.0,
+      "step": 1150
+    },
+    {
+      "entropy": 6.344118309020996,
+      "epoch": 0.9569179784589892,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997847643519803,
+      "loss": 6.226,
+      "mean_token_accuracy": 0.11924557387828827,
+      "num_tokens": 2107645.0,
+      "step": 1155
+    },
+    {
+      "entropy": 6.1790977954864506,
+      "epoch": 0.9610604805302403,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997705635369085,
+      "loss": 6.1991,
+      "mean_token_accuracy": 0.11988648250699044,
+      "num_tokens": 2116613.0,
+      "step": 1160
+    },
+    {
+      "entropy": 6.284418439865112,
+      "epoch": 0.9652029826014913,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004997559093350474,
+      "loss": 6.1881,
+      "mean_token_accuracy": 0.12116428092122078,
+      "num_tokens": 2125585.0,
+      "step": 1165
+    },
+    {
+      "entropy": 6.396596622467041,
+      "epoch": 0.9693454846727423,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004997408017759562,
+      "loss": 6.3359,
+      "mean_token_accuracy": 0.11936862170696258,
+      "num_tokens": 2134795.0,
+      "step": 1170
+    },
+    {
+      "entropy": 6.273751878738404,
+      "epoch": 0.9734879867439934,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004997252408901084,
+      "loss": 6.3271,
+      "mean_token_accuracy": 0.11899949684739113,
+      "num_tokens": 2143699.0,
+      "step": 1175
+    },
+    {
+      "entropy": 6.386678028106689,
+      "epoch": 0.9776304888152444,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004997092267088922,
+      "loss": 6.2707,
+      "mean_token_accuracy": 0.11861606612801552,
+      "num_tokens": 2152187.0,
+      "step": 1180
+    },
+    {
+      "entropy": 6.275117111206055,
+      "epoch": 0.9817729908864954,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004996927592646097,
+      "loss": 6.3412,
+      "mean_token_accuracy": 0.11767763197422028,
+      "num_tokens": 2160941.0,
+      "step": 1185
+    },
+    {
+      "entropy": 6.339710283279419,
+      "epoch": 0.9859154929577465,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004996758385904776,
+      "loss": 6.3119,
+      "mean_token_accuracy": 0.11789651140570641,
+      "num_tokens": 2168946.0,
+      "step": 1190
+    },
+    {
+      "entropy": 6.181374216079712,
+      "epoch": 0.9900579950289975,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004996584647206269,
+      "loss": 6.2237,
+      "mean_token_accuracy": 0.12055367529392243,
+      "num_tokens": 2177662.0,
+      "step": 1195
+    },
+    {
+      "entropy": 6.316773986816406,
+      "epoch": 0.9942004971002486,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004996406376901026,
+      "loss": 6.3268,
+      "mean_token_accuracy": 0.12757316455245019,
+      "num_tokens": 2187461.0,
+      "step": 1200
+    },
+    {
+      "entropy": 6.283385133743286,
+      "epoch": 0.9983429991714996,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004996223575348635,
+      "loss": 6.2207,
+      "mean_token_accuracy": 0.12578138560056687,
+      "num_tokens": 2196878.0,
+      "step": 1205
+    },
+    {
+      "entropy": 6.311019659042358,
+      "epoch": 1.0024855012427507,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004996036242917828,
+      "loss": 6.2021,
+      "mean_token_accuracy": 0.1151522897183895,
+      "num_tokens": 2206178.0,
+      "step": 1210
+    },
+    {
+      "entropy": 6.25421667098999,
+      "epoch": 1.0066280033140016,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004995844379986476,
+      "loss": 6.0526,
+      "mean_token_accuracy": 0.12476176023483276,
+      "num_tokens": 2215330.0,
+      "step": 1215
+    },
+    {
+      "entropy": 6.309921216964722,
+      "epoch": 1.0107705053852527,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004995647986941587,
+      "loss": 6.0354,
+      "mean_token_accuracy": 0.13005029112100602,
+      "num_tokens": 2224146.0,
+      "step": 1220
+    },
+    {
+      "entropy": 6.241363286972046,
+      "epoch": 1.0149130074565038,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004995447064179308,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13421598002314566,
+      "num_tokens": 2233646.0,
+      "step": 1225
+    },
+    {
+      "entropy": 6.058859920501709,
+      "epoch": 1.0190555095277547,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.000499524161210492,
+      "loss": 5.9379,
+      "mean_token_accuracy": 0.12560308948159218,
+      "num_tokens": 2243663.0,
+      "step": 1230
+    },
+    {
+      "entropy": 6.270004224777222,
+      "epoch": 1.0231980115990058,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004995031631132844,
+      "loss": 6.1035,
+      "mean_token_accuracy": 0.13170127123594283,
+      "num_tokens": 2252564.0,
+      "step": 1235
+    },
+    {
+      "entropy": 6.2710247993469235,
+      "epoch": 1.027340513670257,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004994817121686633,
+      "loss": 6.099,
+      "mean_token_accuracy": 0.12465815395116805,
+      "num_tokens": 2262504.0,
+      "step": 1240
+    },
+    {
+      "entropy": 6.193396997451782,
+      "epoch": 1.0314830157415078,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004994598084198979,
+      "loss": 5.9843,
+      "mean_token_accuracy": 0.1374910719692707,
+      "num_tokens": 2270553.0,
+      "step": 1245
+    },
+    {
+      "entropy": 6.136552810668945,
+      "epoch": 1.035625517812759,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004994374519111701,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.1272726461291313,
+      "num_tokens": 2279319.0,
+      "step": 1250
+    },
+    {
+      "entropy": 6.217378282546997,
+      "epoch": 1.03976801988401,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004994146426875757,
+      "loss": 6.123,
+      "mean_token_accuracy": 0.126935476064682,
+      "num_tokens": 2288749.0,
+      "step": 1255
+    },
+    {
+      "entropy": 6.218695068359375,
+      "epoch": 1.043910521955261,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004993913807951232,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.12562426924705505,
+      "num_tokens": 2298272.0,
+      "step": 1260
+    },
+    {
+      "entropy": 6.221994352340698,
+      "epoch": 1.048053024026512,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004993676662807345,
+      "loss": 6.047,
+      "mean_token_accuracy": 0.12884460240602494,
+      "num_tokens": 2307230.0,
+      "step": 1265
+    },
+    {
+      "entropy": 6.183428144454956,
+      "epoch": 1.0521955260977631,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004993434991922443,
+      "loss": 6.1317,
+      "mean_token_accuracy": 0.12460145726799965,
+      "num_tokens": 2316306.0,
+      "step": 1270
+    },
+    {
+      "entropy": 6.22090425491333,
+      "epoch": 1.056338028169014,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004993188795784002,
+      "loss": 6.0531,
+      "mean_token_accuracy": 0.1241947129368782,
+      "num_tokens": 2325672.0,
+      "step": 1275
+    },
+    {
+      "entropy": 6.1453857421875,
+      "epoch": 1.0604805302402651,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004992938074888628,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.1274007849395275,
+      "num_tokens": 2335251.0,
+      "step": 1280
+    },
+    {
+      "entropy": 6.180039167404175,
+      "epoch": 1.0646230323115162,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004992682829742052,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.1308726042509079,
+      "num_tokens": 2344054.0,
+      "step": 1285
+    },
+    {
+      "entropy": 6.086296463012696,
+      "epoch": 1.0687655343827671,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004992423060859132,
+      "loss": 6.0236,
+      "mean_token_accuracy": 0.127706591039896,
+      "num_tokens": 2353493.0,
+      "step": 1290
+    },
+    {
+      "entropy": 6.223158740997315,
+      "epoch": 1.0729080364540182,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004992158768763849,
+      "loss": 6.1321,
+      "mean_token_accuracy": 0.12850543335080147,
+      "num_tokens": 2362687.0,
+      "step": 1295
+    },
+    {
+      "entropy": 6.2506636619567875,
+      "epoch": 1.0770505385252693,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004991889953989308,
+      "loss": 6.0965,
+      "mean_token_accuracy": 0.12563316524028778,
+      "num_tokens": 2372325.0,
+      "step": 1300
+    },
+    {
+      "entropy": 6.173602199554443,
+      "epoch": 1.0811930405965202,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004991616617077741,
+      "loss": 6.12,
+      "mean_token_accuracy": 0.1287991665303707,
+      "num_tokens": 2381987.0,
+      "step": 1305
+    },
+    {
+      "entropy": 6.307486963272095,
+      "epoch": 1.0853355426677713,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004991338758580496,
+      "loss": 6.0234,
+      "mean_token_accuracy": 0.13178783878684044,
+      "num_tokens": 2390901.0,
+      "step": 1310
+    },
+    {
+      "entropy": 6.034789133071899,
+      "epoch": 1.0894780447390224,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004991056379058045,
+      "loss": 6.0813,
+      "mean_token_accuracy": 0.12450421676039695,
+      "num_tokens": 2400756.0,
+      "step": 1315
+    },
+    {
+      "entropy": 6.188017988204956,
+      "epoch": 1.0936205468102733,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004990769479079976,
+      "loss": 5.9232,
+      "mean_token_accuracy": 0.12984196096658707,
+      "num_tokens": 2409526.0,
+      "step": 1320
+    },
+    {
+      "entropy": 6.086554956436157,
+      "epoch": 1.0977630488815244,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004990478059225003,
+      "loss": 6.0931,
+      "mean_token_accuracy": 0.12972966134548186,
+      "num_tokens": 2419583.0,
+      "step": 1325
+    },
+    {
+      "entropy": 6.2457873821258545,
+      "epoch": 1.1019055509527755,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004990182120080945,
+      "loss": 6.0338,
+      "mean_token_accuracy": 0.12990806251764297,
+      "num_tokens": 2429439.0,
+      "step": 1330
+    },
+    {
+      "entropy": 6.078778219223023,
+      "epoch": 1.1060480530240264,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004989881662244748,
+      "loss": 6.0416,
+      "mean_token_accuracy": 0.12380676046013832,
+      "num_tokens": 2438467.0,
+      "step": 1335
+    },
+    {
+      "entropy": 6.138932418823242,
+      "epoch": 1.1101905550952775,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004989576686322468,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.1332716926932335,
+      "num_tokens": 2446619.0,
+      "step": 1340
+    },
+    {
+      "entropy": 6.1281578540802,
+      "epoch": 1.1143330571665286,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004989267192929272,
+      "loss": 6.0379,
+      "mean_token_accuracy": 0.12955363765358924,
+      "num_tokens": 2454998.0,
+      "step": 1345
+    },
+    {
+      "entropy": 6.09554443359375,
+      "epoch": 1.1184755592377795,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004988953182689445,
+      "loss": 6.0072,
+      "mean_token_accuracy": 0.13532012328505516,
+      "num_tokens": 2463497.0,
+      "step": 1350
+    },
+    {
+      "entropy": 6.134703922271728,
+      "epoch": 1.1226180613090306,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004988634656236378,
+      "loss": 5.9216,
+      "mean_token_accuracy": 0.13609320148825646,
+      "num_tokens": 2471763.0,
+      "step": 1355
+    },
+    {
+      "entropy": 6.145527791976929,
+      "epoch": 1.1267605633802817,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004988311614212576,
+      "loss": 6.0016,
+      "mean_token_accuracy": 0.1402701161801815,
+      "num_tokens": 2479949.0,
+      "step": 1360
+    },
+    {
+      "entropy": 6.116470623016357,
+      "epoch": 1.1309030654515326,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004987984057269648,
+      "loss": 6.0539,
+      "mean_token_accuracy": 0.13444141745567323,
+      "num_tokens": 2489097.0,
+      "step": 1365
+    },
+    {
+      "entropy": 5.972180604934692,
+      "epoch": 1.1350455675227837,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004987651986068311,
+      "loss": 5.8781,
+      "mean_token_accuracy": 0.13601028621196748,
+      "num_tokens": 2497625.0,
+      "step": 1370
+    },
+    {
+      "entropy": 6.143597984313965,
+      "epoch": 1.1391880695940348,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004987315401278394,
+      "loss": 6.1252,
+      "mean_token_accuracy": 0.1272761717438698,
+      "num_tokens": 2507107.0,
+      "step": 1375
+    },
+    {
+      "entropy": 6.286170959472656,
+      "epoch": 1.143330571665286,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004986974303578819,
+      "loss": 6.1408,
+      "mean_token_accuracy": 0.12348597794771195,
+      "num_tokens": 2516629.0,
+      "step": 1380
+    },
+    {
+      "entropy": 6.077923250198364,
+      "epoch": 1.1474730737365368,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004986628693657621,
+      "loss": 6.021,
+      "mean_token_accuracy": 0.1280151717364788,
+      "num_tokens": 2525924.0,
+      "step": 1385
+    },
+    {
+      "entropy": 6.229060649871826,
+      "epoch": 1.151615575807788,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004986278572211933,
+      "loss": 6.1723,
+      "mean_token_accuracy": 0.1280426375567913,
+      "num_tokens": 2535586.0,
+      "step": 1390
+    },
+    {
+      "entropy": 6.189875984191895,
+      "epoch": 1.1557580778790388,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004985923939947987,
+      "loss": 6.2595,
+      "mean_token_accuracy": 0.1247698113322258,
+      "num_tokens": 2546685.0,
+      "step": 1395
+    },
+    {
+      "entropy": 6.148470640182495,
+      "epoch": 1.15990057995029,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004985564797581115,
+      "loss": 5.9681,
+      "mean_token_accuracy": 0.12971177995204924,
+      "num_tokens": 2556873.0,
+      "step": 1400
+    },
+    {
+      "entropy": 6.143459701538086,
+      "epoch": 1.164043082021541,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004985201145835747,
+      "loss": 5.9836,
+      "mean_token_accuracy": 0.13127154856920242,
+      "num_tokens": 2565222.0,
+      "step": 1405
+    },
+    {
+      "entropy": 6.031957960128784,
+      "epoch": 1.1681855840927922,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.000498483298544541,
+      "loss": 5.9875,
+      "mean_token_accuracy": 0.13211632743477822,
+      "num_tokens": 2575467.0,
+      "step": 1410
+    },
+    {
+      "entropy": 6.136318731307983,
+      "epoch": 1.172328086164043,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000498446031715272,
+      "loss": 6.0125,
+      "mean_token_accuracy": 0.13508019223809242,
+      "num_tokens": 2583963.0,
+      "step": 1415
+    },
+    {
+      "entropy": 6.133963680267334,
+      "epoch": 1.1764705882352942,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004984083141709391,
+      "loss": 6.042,
+      "mean_token_accuracy": 0.13524071872234344,
+      "num_tokens": 2593350.0,
+      "step": 1420
+    },
+    {
+      "entropy": 5.975436115264893,
+      "epoch": 1.180613090306545,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000498370145987623,
+      "loss": 5.9652,
+      "mean_token_accuracy": 0.13682079091668128,
+      "num_tokens": 2602191.0,
+      "step": 1425
+    },
+    {
+      "entropy": 6.170718050003051,
+      "epoch": 1.1847555923777962,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004983315272423127,
+      "loss": 6.0999,
+      "mean_token_accuracy": 0.1291058838367462,
+      "num_tokens": 2613590.0,
+      "step": 1430
+    },
+    {
+      "entropy": 6.049332237243652,
+      "epoch": 1.1888980944490473,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004982924580129066,
+      "loss": 5.8895,
+      "mean_token_accuracy": 0.1340464949607849,
+      "num_tokens": 2622072.0,
+      "step": 1435
+    },
+    {
+      "entropy": 6.093293142318726,
+      "epoch": 1.1930405965202984,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004982529383782116,
+      "loss": 6.1012,
+      "mean_token_accuracy": 0.13022035285830497,
+      "num_tokens": 2630904.0,
+      "step": 1440
+    },
+    {
+      "entropy": 6.189996242523193,
+      "epoch": 1.1971830985915493,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004982129684179432,
+      "loss": 6.0594,
+      "mean_token_accuracy": 0.13088259026408194,
+      "num_tokens": 2639925.0,
+      "step": 1445
+    },
+    {
+      "entropy": 6.1187131881713865,
+      "epoch": 1.2013256006628004,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004981725482127251,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.13439981341362,
+      "num_tokens": 2649397.0,
+      "step": 1450
+    },
+    {
+      "entropy": 6.16315655708313,
+      "epoch": 1.2054681027340513,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004981316778440892,
+      "loss": 6.081,
+      "mean_token_accuracy": 0.13515593931078912,
+      "num_tokens": 2658877.0,
+      "step": 1455
+    },
+    {
+      "entropy": 6.063838720321655,
+      "epoch": 1.2096106048053024,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004980903573944756,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13121431767940522,
+      "num_tokens": 2668518.0,
+      "step": 1460
+    },
+    {
+      "entropy": 6.059180212020874,
+      "epoch": 1.2137531068765535,
+      "grad_norm": 1.0078125,
+      "learning_rate": 0.0004980485869472322,
+      "loss": 6.1148,
+      "mean_token_accuracy": 0.12996160089969636,
+      "num_tokens": 2677459.0,
+      "step": 1465
+    },
+    {
+      "entropy": 6.223527908325195,
+      "epoch": 1.2178956089478046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004980063665866143,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12482839822769165,
+      "num_tokens": 2686668.0,
+      "step": 1470
+    },
+    {
+      "entropy": 5.935272264480591,
+      "epoch": 1.2220381110190555,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004979636963977853,
+      "loss": 5.8825,
+      "mean_token_accuracy": 0.1352998949587345,
+      "num_tokens": 2695545.0,
+      "step": 1475
+    },
+    {
+      "entropy": 6.066101598739624,
+      "epoch": 1.2261806130903066,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004979205764668156,
+      "loss": 6.0569,
+      "mean_token_accuracy": 0.13228241056203843,
+      "num_tokens": 2705514.0,
+      "step": 1480
+    },
+    {
+      "entropy": 6.138315343856812,
+      "epoch": 1.2303231151615575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004978770068806825,
+      "loss": 5.9599,
+      "mean_token_accuracy": 0.13136665150523186,
+      "num_tokens": 2714373.0,
+      "step": 1485
+    },
+    {
+      "entropy": 6.061770391464234,
+      "epoch": 1.2344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.000497832987727271,
+      "loss": 6.0715,
+      "mean_token_accuracy": 0.1264137916266918,
+      "num_tokens": 2723887.0,
+      "step": 1490
+    },
+    {
+      "entropy": 6.061756038665772,
+      "epoch": 1.2386081193040597,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004977885190953724,
+      "loss": 5.956,
+      "mean_token_accuracy": 0.13353569880127908,
+      "num_tokens": 2733591.0,
+      "step": 1495
+    },
+    {
+      "entropy": 6.104292392730713,
+      "epoch": 1.2427506213753108,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004977436010746846,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.13720986992120743,
+      "num_tokens": 2741638.0,
+      "step": 1500
+    },
+    {
+      "epoch": 1.2427506213753108,
+      "eval_entropy": 6.029743814773397,
+      "eval_loss": 6.2611613273620605,
+      "eval_mean_token_accuracy": 0.12890694399219332,
+      "eval_num_tokens": 2741638.0,
+      "eval_runtime": 2.9518,
+      "eval_samples_per_second": 1269.399,
+      "eval_steps_per_second": 158.887,
+      "step": 1500
+    },
+    {
+      "entropy": 6.078821802139283,
+      "epoch": 1.2468931234465617,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004976982337558124,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13084649220108985,
+      "num_tokens": 2749711.0,
+      "step": 1505
+    },
+    {
+      "entropy": 6.094208097457885,
+      "epoch": 1.2510356255178128,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004976524172302665,
+      "loss": 6.121,
+      "mean_token_accuracy": 0.13192041367292404,
+      "num_tokens": 2758121.0,
+      "step": 1510
+    },
+    {
+      "entropy": 6.159745693206787,
+      "epoch": 1.2551781275890637,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004976061515904641,
+      "loss": 6.1181,
+      "mean_token_accuracy": 0.12667254582047463,
+      "num_tokens": 2766764.0,
+      "step": 1515
+    },
+    {
+      "entropy": 6.116680526733399,
+      "epoch": 1.2593206296603148,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004975594369297277,
+      "loss": 6.0557,
+      "mean_token_accuracy": 0.1348518520593643,
+      "num_tokens": 2775561.0,
+      "step": 1520
+    },
+    {
+      "entropy": 6.08063235282898,
+      "epoch": 1.2634631317315659,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004975122733422861,
+      "loss": 6.0201,
+      "mean_token_accuracy": 0.13085112273693084,
+      "num_tokens": 2784691.0,
+      "step": 1525
+    },
+    {
+      "entropy": 6.129113435745239,
+      "epoch": 1.267605633802817,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004974646609232732,
+      "loss": 5.9816,
+      "mean_token_accuracy": 0.13641836866736412,
+      "num_tokens": 2793893.0,
+      "step": 1530
+    },
+    {
+      "entropy": 6.108260202407837,
+      "epoch": 1.2717481358740679,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004974165997687288,
+      "loss": 6.0751,
+      "mean_token_accuracy": 0.13353196606040002,
+      "num_tokens": 2804479.0,
+      "step": 1535
+    },
+    {
+      "entropy": 6.16022138595581,
+      "epoch": 1.275890637945319,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004973680899755972,
+      "loss": 6.107,
+      "mean_token_accuracy": 0.1326654002070427,
+      "num_tokens": 2813966.0,
+      "step": 1540
+    },
+    {
+      "entropy": 6.007886743545532,
+      "epoch": 1.2800331400165699,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000497319131641728,
+      "loss": 5.9326,
+      "mean_token_accuracy": 0.13846119418740271,
+      "num_tokens": 2822328.0,
+      "step": 1545
+    },
+    {
+      "entropy": 6.003260755538941,
+      "epoch": 1.284175642087821,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004972697248658755,
+      "loss": 5.8899,
+      "mean_token_accuracy": 0.14066707715392113,
+      "num_tokens": 2829845.0,
+      "step": 1550
+    },
+    {
+      "entropy": 5.948832178115845,
+      "epoch": 1.288318144159072,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004972198697476987,
+      "loss": 5.8783,
+      "mean_token_accuracy": 0.13914238885045052,
+      "num_tokens": 2839040.0,
+      "step": 1555
+    },
+    {
+      "entropy": 5.961882209777832,
+      "epoch": 1.2924606462303232,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004971695663877607,
+      "loss": 5.9665,
+      "mean_token_accuracy": 0.13561231270432472,
+      "num_tokens": 2848574.0,
+      "step": 1560
+    },
+    {
+      "entropy": 6.077086877822876,
+      "epoch": 1.296603148301574,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004971188148875289,
+      "loss": 5.9421,
+      "mean_token_accuracy": 0.14444561377167703,
+      "num_tokens": 2856812.0,
+      "step": 1565
+    },
+    {
+      "entropy": 6.051652336120606,
+      "epoch": 1.3007456503728252,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004970676153493748,
+      "loss": 6.0283,
+      "mean_token_accuracy": 0.13189572617411613,
+      "num_tokens": 2866001.0,
+      "step": 1570
+    },
+    {
+      "entropy": 6.1068840503692625,
+      "epoch": 1.3048881524440763,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004970159678765731,
+      "loss": 6.0164,
+      "mean_token_accuracy": 0.13239546120166779,
+      "num_tokens": 2875181.0,
+      "step": 1575
+    },
+    {
+      "entropy": 6.049808597564697,
+      "epoch": 1.3090306545153272,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004969638725733028,
+      "loss": 5.9587,
+      "mean_token_accuracy": 0.13397156223654746,
+      "num_tokens": 2885103.0,
+      "step": 1580
+    },
+    {
+      "entropy": 5.92131872177124,
+      "epoch": 1.3131731565865783,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004969113295446455,
+      "loss": 5.9116,
+      "mean_token_accuracy": 0.1383065924048424,
+      "num_tokens": 2894055.0,
+      "step": 1585
+    },
+    {
+      "entropy": 6.116864538192749,
+      "epoch": 1.3173156586578294,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004968583388965863,
+      "loss": 5.9846,
+      "mean_token_accuracy": 0.133075200766325,
+      "num_tokens": 2903391.0,
+      "step": 1590
+    },
+    {
+      "entropy": 6.006745624542236,
+      "epoch": 1.3214581607290803,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004968049007360132,
+      "loss": 5.9854,
+      "mean_token_accuracy": 0.13297903537750244,
+      "num_tokens": 2911760.0,
+      "step": 1595
+    },
+    {
+      "entropy": 5.926331329345703,
+      "epoch": 1.3256006628003314,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004967510151707169,
+      "loss": 5.9369,
+      "mean_token_accuracy": 0.13469143435359002,
+      "num_tokens": 2920589.0,
+      "step": 1600
+    },
+    {
+      "entropy": 6.15295524597168,
+      "epoch": 1.3297431648715825,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004966966823093903,
+      "loss": 6.0746,
+      "mean_token_accuracy": 0.1302391268312931,
+      "num_tokens": 2929635.0,
+      "step": 1605
+    },
+    {
+      "entropy": 5.986531114578247,
+      "epoch": 1.3338856669428334,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004966419022616287,
+      "loss": 5.9349,
+      "mean_token_accuracy": 0.13593596145510672,
+      "num_tokens": 2938778.0,
+      "step": 1610
+    },
+    {
+      "entropy": 6.039755535125733,
+      "epoch": 1.3380281690140845,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004965866751379296,
+      "loss": 6.0503,
+      "mean_token_accuracy": 0.13109695687890052,
+      "num_tokens": 2947836.0,
+      "step": 1615
+    },
+    {
+      "entropy": 6.133180904388428,
+      "epoch": 1.3421706710853356,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004965310010496922,
+      "loss": 6.0032,
+      "mean_token_accuracy": 0.1280514419078827,
+      "num_tokens": 2957028.0,
+      "step": 1620
+    },
+    {
+      "entropy": 6.026159048080444,
+      "epoch": 1.3463131731565865,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004964748801092168,
+      "loss": 5.9571,
+      "mean_token_accuracy": 0.1338861681520939,
+      "num_tokens": 2966088.0,
+      "step": 1625
+    },
+    {
+      "entropy": 6.078959226608276,
+      "epoch": 1.3504556752278376,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004964183124297059,
+      "loss": 6.0438,
+      "mean_token_accuracy": 0.13178688064217567,
+      "num_tokens": 2975271.0,
+      "step": 1630
+    },
+    {
+      "entropy": 5.992210865020752,
+      "epoch": 1.3545981772990887,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004963612981252625,
+      "loss": 6.0524,
+      "mean_token_accuracy": 0.1321226365864277,
+      "num_tokens": 2983799.0,
+      "step": 1635
+    },
+    {
+      "entropy": 6.056794929504394,
+      "epoch": 1.3587406793703396,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004963038373108908,
+      "loss": 6.0179,
+      "mean_token_accuracy": 0.13609340488910676,
+      "num_tokens": 2992675.0,
+      "step": 1640
+    },
+    {
+      "entropy": 6.155933427810669,
+      "epoch": 1.3628831814415907,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004962459301024954,
+      "loss": 6.0838,
+      "mean_token_accuracy": 0.13211635649204254,
+      "num_tokens": 3002483.0,
+      "step": 1645
+    },
+    {
+      "entropy": 6.027872896194458,
+      "epoch": 1.3670256835128418,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004961875766168816,
+      "loss": 5.985,
+      "mean_token_accuracy": 0.13883458971977233,
+      "num_tokens": 3010611.0,
+      "step": 1650
+    },
+    {
+      "entropy": 6.057289028167725,
+      "epoch": 1.371168185584093,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004961287769717547,
+      "loss": 5.9397,
+      "mean_token_accuracy": 0.13197456523776055,
+      "num_tokens": 3019928.0,
+      "step": 1655
+    },
+    {
+      "entropy": 5.9325989246368405,
+      "epoch": 1.3753106876553438,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004960695312857199,
+      "loss": 5.9279,
+      "mean_token_accuracy": 0.13408055454492568,
+      "num_tokens": 3029003.0,
+      "step": 1660
+    },
+    {
+      "entropy": 6.0389604568481445,
+      "epoch": 1.379453189726595,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004960098396782824,
+      "loss": 5.9464,
+      "mean_token_accuracy": 0.1375861033797264,
+      "num_tokens": 3038049.0,
+      "step": 1665
+    },
+    {
+      "entropy": 5.969662141799927,
+      "epoch": 1.3835956917978458,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004959497022698466,
+      "loss": 5.9515,
+      "mean_token_accuracy": 0.14408120438456534,
+      "num_tokens": 3046674.0,
+      "step": 1670
+    },
+    {
+      "entropy": 6.0561059474945065,
+      "epoch": 1.387738193869097,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004958891191817163,
+      "loss": 5.9927,
+      "mean_token_accuracy": 0.12801324650645257,
+      "num_tokens": 3056459.0,
+      "step": 1675
+    },
+    {
+      "entropy": 6.032327270507812,
+      "epoch": 1.391880695940348,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000495828090536094,
+      "loss": 5.9845,
+      "mean_token_accuracy": 0.13036760538816453,
+      "num_tokens": 3066294.0,
+      "step": 1680
+    },
+    {
+      "entropy": 6.0512574195861815,
+      "epoch": 1.3960231980115991,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004957666164560815,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13139644563198088,
+      "num_tokens": 3075420.0,
+      "step": 1685
+    },
+    {
+      "entropy": 6.063203239440918,
+      "epoch": 1.40016570008285,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004957046970656784,
+      "loss": 6.0385,
+      "mean_token_accuracy": 0.13581736162304878,
+      "num_tokens": 3084373.0,
+      "step": 1690
+    },
+    {
+      "entropy": 6.00097541809082,
+      "epoch": 1.4043082021541011,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004956423324897831,
+      "loss": 6.0257,
+      "mean_token_accuracy": 0.13937310948967935,
+      "num_tokens": 3094212.0,
+      "step": 1695
+    },
+    {
+      "entropy": 6.043115425109863,
+      "epoch": 1.408450704225352,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004955795228541917,
+      "loss": 5.9589,
+      "mean_token_accuracy": 0.14452596232295037,
+      "num_tokens": 3102769.0,
+      "step": 1700
+    },
+    {
+      "entropy": 6.040110731124878,
+      "epoch": 1.4125932062966031,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000495516268285598,
+      "loss": 5.9805,
+      "mean_token_accuracy": 0.13440805301070213,
+      "num_tokens": 3111465.0,
+      "step": 1705
+    },
+    {
+      "entropy": 5.978239822387695,
+      "epoch": 1.4167357083678542,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004954525689115935,
+      "loss": 5.9177,
+      "mean_token_accuracy": 0.13326097056269645,
+      "num_tokens": 3121106.0,
+      "step": 1710
+    },
+    {
+      "entropy": 6.007881164550781,
+      "epoch": 1.4208782104391053,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004953884248606669,
+      "loss": 5.945,
+      "mean_token_accuracy": 0.14831372052431108,
+      "num_tokens": 3130662.0,
+      "step": 1715
+    },
+    {
+      "entropy": 5.97642674446106,
+      "epoch": 1.4250207125103562,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004953238362622034,
+      "loss": 5.9812,
+      "mean_token_accuracy": 0.13328263983130456,
+      "num_tokens": 3139538.0,
+      "step": 1720
+    },
+    {
+      "entropy": 6.0256367206573485,
+      "epoch": 1.4291632145816073,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004952588032464855,
+      "loss": 6.0298,
+      "mean_token_accuracy": 0.12707214802503586,
+      "num_tokens": 3148552.0,
+      "step": 1725
+    },
+    {
+      "entropy": 5.996851205825806,
+      "epoch": 1.4333057166528582,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004951933259446919,
+      "loss": 5.9365,
+      "mean_token_accuracy": 0.14197203740477563,
+      "num_tokens": 3156549.0,
+      "step": 1730
+    },
+    {
+      "entropy": 6.114988136291504,
+      "epoch": 1.4374482187241093,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004951274044888975,
+      "loss": 6.1006,
+      "mean_token_accuracy": 0.12147112190723419,
+      "num_tokens": 3166821.0,
+      "step": 1735
+    },
+    {
+      "entropy": 5.960144329071045,
+      "epoch": 1.4415907207953604,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004950610390120731,
+      "loss": 5.9848,
+      "mean_token_accuracy": 0.135729306191206,
+      "num_tokens": 3174962.0,
+      "step": 1740
+    },
+    {
+      "entropy": 6.087535095214844,
+      "epoch": 1.4457332228666115,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000494994229648085,
+      "loss": 5.8903,
+      "mean_token_accuracy": 0.13537728488445283,
+      "num_tokens": 3184027.0,
+      "step": 1745
+    },
+    {
+      "entropy": 5.957475805282593,
+      "epoch": 1.4498757249378624,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004949269765316948,
+      "loss": 6.0321,
+      "mean_token_accuracy": 0.13071285635232927,
+      "num_tokens": 3193186.0,
+      "step": 1750
+    },
+    {
+      "entropy": 6.171153354644775,
+      "epoch": 1.4540182270091135,
+      "grad_norm": 2.140625,
+      "learning_rate": 0.0004948592797985599,
+      "loss": 6.0525,
+      "mean_token_accuracy": 0.13555259853601456,
+      "num_tokens": 3202676.0,
+      "step": 1755
+    },
+    {
+      "entropy": 6.123908805847168,
+      "epoch": 1.4581607290803644,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947911395852317,
+      "loss": 6.1524,
+      "mean_token_accuracy": 0.1352410912513733,
+      "num_tokens": 3211950.0,
+      "step": 1760
+    },
+    {
+      "entropy": 6.120599699020386,
+      "epoch": 1.4623032311516155,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947225560291565,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12961760386824608,
+      "num_tokens": 3221135.0,
+      "step": 1765
+    },
+    {
+      "entropy": 5.962483358383179,
+      "epoch": 1.4664457332228666,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004946535292686746,
+      "loss": 5.8975,
+      "mean_token_accuracy": 0.13825839310884475,
+      "num_tokens": 3230174.0,
+      "step": 1770
+    },
+    {
+      "entropy": 5.979943370819091,
+      "epoch": 1.4705882352941178,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004945840594430209,
+      "loss": 5.8871,
+      "mean_token_accuracy": 0.1381668671965599,
+      "num_tokens": 3238898.0,
+      "step": 1775
+    },
+    {
+      "entropy": 5.973515844345092,
+      "epoch": 1.4747307373653686,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004945141466923235,
+      "loss": 5.9292,
+      "mean_token_accuracy": 0.14479121565818787,
+      "num_tokens": 3247550.0,
+      "step": 1780
+    },
+    {
+      "entropy": 6.113377714157105,
+      "epoch": 1.4788732394366197,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004944437911576041,
+      "loss": 6.0779,
+      "mean_token_accuracy": 0.12900342419743538,
+      "num_tokens": 3256810.0,
+      "step": 1785
+    },
+    {
+      "entropy": 5.9020613670349125,
+      "epoch": 1.4830157415078706,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004943729929807772,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.139550269395113,
+      "num_tokens": 3265886.0,
+      "step": 1790
+    },
+    {
+      "entropy": 6.06021089553833,
+      "epoch": 1.4871582435791217,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004943017523046507,
+      "loss": 5.9273,
+      "mean_token_accuracy": 0.137468421459198,
+      "num_tokens": 3274522.0,
+      "step": 1795
+    },
+    {
+      "entropy": 6.027210426330567,
+      "epoch": 1.4913007456503728,
+      "grad_norm": 1.25,
+      "learning_rate": 0.000494230069272925,
+      "loss": 6.0486,
+      "mean_token_accuracy": 0.13558472618460654,
+      "num_tokens": 3283388.0,
+      "step": 1800
+    },
+    {
+      "entropy": 5.989331531524658,
+      "epoch": 1.495443247721624,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004941579440301923,
+      "loss": 5.9224,
+      "mean_token_accuracy": 0.1305856943130493,
+      "num_tokens": 3291887.0,
+      "step": 1805
+    },
+    {
+      "entropy": 5.96136965751648,
+      "epoch": 1.4995857497928748,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940853767219372,
+      "loss": 5.9685,
+      "mean_token_accuracy": 0.13564062863588333,
+      "num_tokens": 3300674.0,
+      "step": 1810
+    },
+    {
+      "entropy": 5.9364429950714115,
+      "epoch": 1.503728251864126,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940123674945359,
+      "loss": 5.8311,
+      "mean_token_accuracy": 0.13808463513851166,
+      "num_tokens": 3309745.0,
+      "step": 1815
+    },
+    {
+      "entropy": 6.076629638671875,
+      "epoch": 1.5078707539353768,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004939389164952561,
+      "loss": 5.9722,
+      "mean_token_accuracy": 0.1378110609948635,
+      "num_tokens": 3318888.0,
+      "step": 1820
+    },
+    {
+      "entropy": 5.8970863819122314,
+      "epoch": 1.512013256006628,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004938650238722564,
+      "loss": 5.9296,
+      "mean_token_accuracy": 0.13823849260807036,
+      "num_tokens": 3328274.0,
+      "step": 1825
+    },
+    {
+      "entropy": 6.003948831558228,
+      "epoch": 1.516155758077879,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004937906897745861,
+      "loss": 5.9387,
+      "mean_token_accuracy": 0.1468382939696312,
+      "num_tokens": 3337579.0,
+      "step": 1830
+    },
+    {
+      "entropy": 6.045965003967285,
+      "epoch": 1.5202982601491302,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004937159143521856,
+      "loss": 5.9081,
+      "mean_token_accuracy": 0.14555162489414214,
+      "num_tokens": 3346262.0,
+      "step": 1835
+    },
+    {
+      "entropy": 5.972390079498291,
+      "epoch": 1.5244407622203813,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004936406977558847,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.13030771315097808,
+      "num_tokens": 3354833.0,
+      "step": 1840
+    },
+    {
+      "entropy": 6.051387977600098,
+      "epoch": 1.5285832642916322,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004935650401374039,
+      "loss": 6.0906,
+      "mean_token_accuracy": 0.14119647368788718,
+      "num_tokens": 3364314.0,
+      "step": 1845
+    },
+    {
+      "entropy": 6.046140813827515,
+      "epoch": 1.532725766362883,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004934889416493524,
+      "loss": 5.9157,
+      "mean_token_accuracy": 0.13524662256240844,
+      "num_tokens": 3373648.0,
+      "step": 1850
+    },
+    {
+      "entropy": 5.863892507553101,
+      "epoch": 1.5368682684341342,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004934124024452295,
+      "loss": 5.7869,
+      "mean_token_accuracy": 0.1471114367246628,
+      "num_tokens": 3382919.0,
+      "step": 1855
+    },
+    {
+      "entropy": 5.888700532913208,
+      "epoch": 1.5410107705053853,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004933354226794232,
+      "loss": 5.9383,
+      "mean_token_accuracy": 0.1432707317173481,
+      "num_tokens": 3391814.0,
+      "step": 1860
+    },
+    {
+      "entropy": 6.080925798416137,
+      "epoch": 1.5451532725766364,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004932580025072098,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.13580586463212968,
+      "num_tokens": 3400392.0,
+      "step": 1865
+    },
+    {
+      "entropy": 5.996384525299073,
+      "epoch": 1.5492957746478875,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004931801420847545,
+      "loss": 6.036,
+      "mean_token_accuracy": 0.13089759424328803,
+      "num_tokens": 3410430.0,
+      "step": 1870
+    },
+    {
+      "entropy": 5.932257795333863,
+      "epoch": 1.5534382767191384,
+      "grad_norm": 0.9609375,
+      "learning_rate": 0.0004931018415691102,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.13694921880960464,
+      "num_tokens": 3420654.0,
+      "step": 1875
+    },
+    {
+      "entropy": 5.951343011856079,
+      "epoch": 1.5575807787903893,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004930231011182176,
+      "loss": 5.9986,
+      "mean_token_accuracy": 0.13937177062034606,
+      "num_tokens": 3430514.0,
+      "step": 1880
+    },
+    {
+      "entropy": 6.071512508392334,
+      "epoch": 1.5617232808616404,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004929439208909048,
+      "loss": 5.9331,
+      "mean_token_accuracy": 0.1375361390411854,
+      "num_tokens": 3439551.0,
+      "step": 1885
+    },
+    {
+      "entropy": 5.902947330474854,
+      "epoch": 1.5658657829328915,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004928643010468869,
+      "loss": 5.8911,
+      "mean_token_accuracy": 0.13622887432575226,
+      "num_tokens": 3448160.0,
+      "step": 1890
+    },
+    {
+      "entropy": 5.993059539794922,
+      "epoch": 1.5700082850041426,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004927842417467659,
+      "loss": 5.9517,
+      "mean_token_accuracy": 0.14548188596963882,
+      "num_tokens": 3457296.0,
+      "step": 1895
+    },
+    {
+      "entropy": 6.027637386322022,
+      "epoch": 1.5741507870753937,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004927037431520302,
+      "loss": 5.9073,
+      "mean_token_accuracy": 0.14102519080042838,
+      "num_tokens": 3466108.0,
+      "step": 1900
+    },
+    {
+      "entropy": 5.975209665298462,
+      "epoch": 1.5782932891466446,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004926228054250541,
+      "loss": 5.9941,
+      "mean_token_accuracy": 0.14009249955415726,
+      "num_tokens": 3475336.0,
+      "step": 1905
+    },
+    {
+      "entropy": 6.073916673660278,
+      "epoch": 1.5824357912178955,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004925414287290979,
+      "loss": 5.9668,
+      "mean_token_accuracy": 0.13723743334412575,
+      "num_tokens": 3483963.0,
+      "step": 1910
+    },
+    {
+      "entropy": 5.848618030548096,
+      "epoch": 1.5865782932891466,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004924596132283075,
+      "loss": 5.8765,
+      "mean_token_accuracy": 0.14485997408628465,
+      "num_tokens": 3492947.0,
+      "step": 1915
+    },
+    {
+      "entropy": 5.966853284835816,
+      "epoch": 1.5907207953603977,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004923773590877135,
+      "loss": 5.9651,
+      "mean_token_accuracy": 0.13334692791104316,
+      "num_tokens": 3501877.0,
+      "step": 1920
+    },
+    {
+      "entropy": 6.042904996871949,
+      "epoch": 1.5948632974316488,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004922946664732314,
+      "loss": 6.0304,
+      "mean_token_accuracy": 0.13204361274838447,
+      "num_tokens": 3510610.0,
+      "step": 1925
+    },
+    {
+      "entropy": 6.0583656311035154,
+      "epoch": 1.5990057995029,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004922115355516615,
+      "loss": 5.9841,
+      "mean_token_accuracy": 0.13304307833313941,
+      "num_tokens": 3519829.0,
+      "step": 1930
+    },
+    {
+      "entropy": 6.015839862823486,
+      "epoch": 1.6031483015741508,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004921279664906877,
+      "loss": 5.9661,
+      "mean_token_accuracy": 0.13071200698614122,
+      "num_tokens": 3529408.0,
+      "step": 1935
+    },
+    {
+      "entropy": 5.924501991271972,
+      "epoch": 1.6072908036454017,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004920439594588781,
+      "loss": 5.8955,
+      "mean_token_accuracy": 0.14675913602113724,
+      "num_tokens": 3538068.0,
+      "step": 1940
+    },
+    {
+      "entropy": 6.051935148239136,
+      "epoch": 1.6114333057166528,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000491959514625684,
+      "loss": 6.0177,
+      "mean_token_accuracy": 0.13845598921179772,
+      "num_tokens": 3547302.0,
+      "step": 1945
+    },
+    {
+      "entropy": 5.956210565567017,
+      "epoch": 1.6155758077879039,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00049187463216144,
+      "loss": 5.9024,
+      "mean_token_accuracy": 0.145584287494421,
+      "num_tokens": 3556087.0,
+      "step": 1950
+    },
+    {
+      "entropy": 6.046857452392578,
+      "epoch": 1.619718309859155,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.000491789312237363,
+      "loss": 5.9857,
+      "mean_token_accuracy": 0.13579782098531723,
+      "num_tokens": 3566235.0,
+      "step": 1955
+    },
+    {
+      "entropy": 5.983897924423218,
+      "epoch": 1.623860811930406,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004917035550255528,
+      "loss": 5.899,
+      "mean_token_accuracy": 0.14092317298054696,
+      "num_tokens": 3574762.0,
+      "step": 1960
+    },
+    {
+      "entropy": 5.904513597488403,
+      "epoch": 1.628003314001657,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000491617360698991,
+      "loss": 5.8837,
+      "mean_token_accuracy": 0.139695380628109,
+      "num_tokens": 3583359.0,
+      "step": 1965
+    },
+    {
+      "entropy": 5.920687866210938,
+      "epoch": 1.6321458160729079,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004915307294315412,
+      "loss": 5.8505,
+      "mean_token_accuracy": 0.14011457338929176,
+      "num_tokens": 3591436.0,
+      "step": 1970
+    },
+    {
+      "entropy": 5.926318550109864,
+      "epoch": 1.636288318144159,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.000491443661397948,
+      "loss": 5.9355,
+      "mean_token_accuracy": 0.13468224480748175,
+      "num_tokens": 3601054.0,
+      "step": 1975
+    },
+    {
+      "entropy": 5.974443817138672,
+      "epoch": 1.64043082021541,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004913561567738368,
+      "loss": 5.9014,
+      "mean_token_accuracy": 0.1383673779666424,
+      "num_tokens": 3610641.0,
+      "step": 1980
+    },
+    {
+      "entropy": 5.912512636184692,
+      "epoch": 1.6445733222866612,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004912682157357146,
+      "loss": 5.8447,
+      "mean_token_accuracy": 0.13975749984383584,
+      "num_tokens": 3619351.0,
+      "step": 1985
+    },
+    {
+      "entropy": 5.853101539611816,
+      "epoch": 1.6487158243579123,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004911798384609675,
+      "loss": 5.8306,
+      "mean_token_accuracy": 0.1472959376871586,
+      "num_tokens": 3627341.0,
+      "step": 1990
+    },
+    {
+      "entropy": 5.942045879364014,
+      "epoch": 1.6528583264291632,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004910910251278626,
+      "loss": 5.8918,
+      "mean_token_accuracy": 0.14801610112190247,
+      "num_tokens": 3637132.0,
+      "step": 1995
+    },
+    {
+      "entropy": 5.919465351104736,
+      "epoch": 1.6570008285004143,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004910017759155458,
+      "loss": 5.9479,
+      "mean_token_accuracy": 0.1400071859359741,
+      "num_tokens": 3646196.0,
+      "step": 2000
+    },
+    {
+      "epoch": 1.6570008285004143,
+      "eval_entropy": 5.874394122979789,
+      "eval_loss": 6.1148576736450195,
+      "eval_mean_token_accuracy": 0.1363023624046525,
+      "eval_num_tokens": 3646196.0,
+      "eval_runtime": 2.7574,
+      "eval_samples_per_second": 1358.871,
+      "eval_steps_per_second": 170.085,
+      "step": 2000
+    },
+    {
+      "entropy": 5.967284250259399,
+      "epoch": 1.6611433305716652,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004909120910040427,
+      "loss": 5.8839,
+      "mean_token_accuracy": 0.1461731344461441,
+      "num_tokens": 3654658.0,
+      "step": 2005
+    },
+    {
+      "entropy": 6.045904684066772,
+      "epoch": 1.6652858326429163,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004908219705742574,
+      "loss": 6.1605,
+      "mean_token_accuracy": 0.13489469960331918,
+      "num_tokens": 3664509.0,
+      "step": 2010
+    },
+    {
+      "entropy": 6.002130031585693,
+      "epoch": 1.6694283347141674,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004907314148079727,
+      "loss": 5.8567,
+      "mean_token_accuracy": 0.1425239197909832,
+      "num_tokens": 3672983.0,
+      "step": 2015
+    },
+    {
+      "entropy": 5.708412790298462,
+      "epoch": 1.6735708367854185,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004906404238878496,
+      "loss": 5.7221,
+      "mean_token_accuracy": 0.14639501571655272,
+      "num_tokens": 3681196.0,
+      "step": 2020
+    },
+    {
+      "entropy": 5.97982873916626,
+      "epoch": 1.6777133388566694,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004905489979974265,
+      "loss": 5.9098,
+      "mean_token_accuracy": 0.14081615954637527,
+      "num_tokens": 3690077.0,
+      "step": 2025
+    },
+    {
+      "entropy": 5.942774772644043,
+      "epoch": 1.6818558409279205,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004904571373211197,
+      "loss": 5.9906,
+      "mean_token_accuracy": 0.13563016131520272,
+      "num_tokens": 3700121.0,
+      "step": 2030
+    },
+    {
+      "entropy": 5.897730588912964,
+      "epoch": 1.6859983429991714,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000490364842044222,
+      "loss": 5.8074,
+      "mean_token_accuracy": 0.14530285224318504,
+      "num_tokens": 3709618.0,
+      "step": 2035
+    },
+    {
+      "entropy": 5.954602289199829,
+      "epoch": 1.6901408450704225,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004902721123529031,
+      "loss": 5.9869,
+      "mean_token_accuracy": 0.12953415215015412,
+      "num_tokens": 3719570.0,
+      "step": 2040
+    },
+    {
+      "entropy": 6.074023342132568,
+      "epoch": 1.6942833471416736,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000490178948434209,
+      "loss": 5.9267,
+      "mean_token_accuracy": 0.14249598532915114,
+      "num_tokens": 3729354.0,
+      "step": 2045
+    },
+    {
+      "entropy": 5.833365964889526,
+      "epoch": 1.6984258492129247,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004900853504760614,
+      "loss": 5.8409,
+      "mean_token_accuracy": 0.14450331926345825,
+      "num_tokens": 3738453.0,
+      "step": 2050
+    },
+    {
+      "entropy": 5.888468265533447,
+      "epoch": 1.7025683512841756,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004899913186672577,
+      "loss": 5.8165,
+      "mean_token_accuracy": 0.14293194860219954,
+      "num_tokens": 3747815.0,
+      "step": 2055
+    },
+    {
+      "entropy": 5.914711236953735,
+      "epoch": 1.7067108533554267,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004898968531974702,
+      "loss": 5.9249,
+      "mean_token_accuracy": 0.14642315953969956,
+      "num_tokens": 3757298.0,
+      "step": 2060
+    },
+    {
+      "entropy": 5.978992033004761,
+      "epoch": 1.7108533554266776,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004898019542572462,
+      "loss": 5.9124,
+      "mean_token_accuracy": 0.14719650894403458,
+      "num_tokens": 3765939.0,
+      "step": 2065
+    },
+    {
+      "entropy": 6.005469894409179,
+      "epoch": 1.7149958574979287,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004897066220380073,
+      "loss": 5.933,
+      "mean_token_accuracy": 0.13779435828328132,
+      "num_tokens": 3775160.0,
+      "step": 2070
+    },
+    {
+      "entropy": 5.921374797821045,
+      "epoch": 1.7191383595691798,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004896108567320489,
+      "loss": 5.831,
+      "mean_token_accuracy": 0.14186858981847764,
+      "num_tokens": 3785181.0,
+      "step": 2075
+    },
+    {
+      "entropy": 5.972924375534058,
+      "epoch": 1.723280861640431,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048951465853254,
+      "loss": 5.9444,
+      "mean_token_accuracy": 0.14323145076632499,
+      "num_tokens": 3794531.0,
+      "step": 2080
+    },
+    {
+      "entropy": 5.953138160705566,
+      "epoch": 1.7274233637116818,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004894180276335231,
+      "loss": 5.934,
+      "mean_token_accuracy": 0.1396125227212906,
+      "num_tokens": 3804602.0,
+      "step": 2085
+    },
+    {
+      "entropy": 5.9721667766571045,
+      "epoch": 1.731565865782933,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004893209642299132,
+      "loss": 5.97,
+      "mean_token_accuracy": 0.1395590640604496,
+      "num_tokens": 3813394.0,
+      "step": 2090
+    },
+    {
+      "entropy": 5.97849326133728,
+      "epoch": 1.7357083678541838,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004892234685174976,
+      "loss": 5.962,
+      "mean_token_accuracy": 0.13808128908276557,
+      "num_tokens": 3821604.0,
+      "step": 2095
+    },
+    {
+      "entropy": 5.967495775222778,
+      "epoch": 1.739850869925435,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004891255406929359,
+      "loss": 5.9564,
+      "mean_token_accuracy": 0.13652343899011612,
+      "num_tokens": 3831977.0,
+      "step": 2100
+    },
+    {
+      "entropy": 5.98737063407898,
+      "epoch": 1.743993371996686,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004890271809537595,
+      "loss": 5.9017,
+      "mean_token_accuracy": 0.1393343411386013,
+      "num_tokens": 3840684.0,
+      "step": 2105
+    },
+    {
+      "entropy": 5.870862340927124,
+      "epoch": 1.7481358740679371,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004889283894983704,
+      "loss": 5.8147,
+      "mean_token_accuracy": 0.1389534741640091,
+      "num_tokens": 3851147.0,
+      "step": 2110
+    },
+    {
+      "entropy": 6.002704238891601,
+      "epoch": 1.752278376139188,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000488829166526042,
+      "loss": 5.9838,
+      "mean_token_accuracy": 0.13991605415940284,
+      "num_tokens": 3859881.0,
+      "step": 2115
+    },
+    {
+      "entropy": 5.948231506347656,
+      "epoch": 1.7564208782104391,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004887295122369176,
+      "loss": 6.0107,
+      "mean_token_accuracy": 0.13371825441718102,
+      "num_tokens": 3870151.0,
+      "step": 2120
+    },
+    {
+      "entropy": 5.99525203704834,
+      "epoch": 1.76056338028169,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.000488629426832011,
+      "loss": 5.9313,
+      "mean_token_accuracy": 0.13850879445672035,
+      "num_tokens": 3878398.0,
+      "step": 2125
+    },
+    {
+      "entropy": 5.924004030227661,
+      "epoch": 1.7647058823529411,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004885289105132054,
+      "loss": 5.8893,
+      "mean_token_accuracy": 0.14114601090550422,
+      "num_tokens": 3888007.0,
+      "step": 2130
+    },
+    {
+      "entropy": 5.930246257781983,
+      "epoch": 1.7688483844241922,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004884279634832532,
+      "loss": 5.8728,
+      "mean_token_accuracy": 0.14278061985969542,
+      "num_tokens": 3896945.0,
+      "step": 2135
+    },
+    {
+      "entropy": 5.940092372894287,
+      "epoch": 1.7729908864954433,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004883265859457754,
+      "loss": 5.8905,
+      "mean_token_accuracy": 0.1457919418811798,
+      "num_tokens": 3906049.0,
+      "step": 2140
+    },
+    {
+      "entropy": 5.866062164306641,
+      "epoch": 1.7771333885666944,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048822477810526186,
+      "loss": 5.8422,
+      "mean_token_accuracy": 0.1388966679573059,
+      "num_tokens": 3915050.0,
+      "step": 2145
+    },
+    {
+      "entropy": 5.966696119308471,
+      "epoch": 1.7812758906379453,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00048812254016706994,
+      "loss": 5.9205,
+      "mean_token_accuracy": 0.14728582575917243,
+      "num_tokens": 3924031.0,
+      "step": 2150
+    },
+    {
+      "entropy": 5.915832757949829,
+      "epoch": 1.7854183927091962,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004880198723374247,
+      "loss": 5.9776,
+      "mean_token_accuracy": 0.14149753525853156,
+      "num_tokens": 3933756.0,
+      "step": 2155
+    },
+    {
+      "entropy": 5.959774684906006,
+      "epoch": 1.7895608947804473,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048791677482341845,
+      "loss": 5.9592,
+      "mean_token_accuracy": 0.13750381171703338,
+      "num_tokens": 3943129.0,
+      "step": 2160
+    },
+    {
+      "entropy": 5.881538438796997,
+      "epoch": 1.7937033968516984,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048781324783301016,
+      "loss": 5.7912,
+      "mean_token_accuracy": 0.14508036673069,
+      "num_tokens": 3951494.0,
+      "step": 2165
+    },
+    {
+      "entropy": 5.946735525131226,
+      "epoch": 1.7978458989229495,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048770929157502505,
+      "loss": 5.9565,
+      "mean_token_accuracy": 0.143115097284317,
+      "num_tokens": 3960588.0,
+      "step": 2170
+    },
+    {
+      "entropy": 5.9805809497833256,
+      "epoch": 1.8019884009942007,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004876049062591543,
+      "loss": 5.9226,
+      "mean_token_accuracy": 0.13506680428981782,
+      "num_tokens": 3970135.0,
+      "step": 2175
+    },
+    {
+      "entropy": 5.950060653686523,
+      "epoch": 1.8061309030654515,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048750009209595443,
+      "loss": 5.9042,
+      "mean_token_accuracy": 0.13944360390305519,
+      "num_tokens": 3979569.0,
+      "step": 2180
+    },
+    {
+      "entropy": 5.88271656036377,
+      "epoch": 1.8102734051367024,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048739484929684714,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.144245932251215,
+      "num_tokens": 3987885.0,
+      "step": 2185
+    },
+    {
+      "entropy": 5.933677864074707,
+      "epoch": 1.8144159072079535,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048728917807411856,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.13125594183802605,
+      "num_tokens": 3997726.0,
+      "step": 2190
+    },
+    {
+      "entropy": 6.008653068542481,
+      "epoch": 1.8185584092792046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004871830786409191,
+      "loss": 5.8436,
+      "mean_token_accuracy": 0.14898036047816277,
+      "num_tokens": 4006437.0,
+      "step": 2195
+    },
+    {
+      "entropy": 5.856683444976807,
+      "epoch": 1.8227009113504558,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00048707655121126296,
+      "loss": 5.8124,
+      "mean_token_accuracy": 0.14927435666322708,
+      "num_tokens": 4015326.0,
+      "step": 2200
+    },
+    {
+      "entropy": 5.924995994567871,
+      "epoch": 1.8268434134217069,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048696959600002767,
+      "loss": 5.8722,
+      "mean_token_accuracy": 0.14032577201724053,
+      "num_tokens": 4024294.0,
+      "step": 2205
+    },
+    {
+      "entropy": 5.881852293014527,
+      "epoch": 1.8309859154929577,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048686221322295347,
+      "loss": 5.9028,
+      "mean_token_accuracy": 0.14340249821543694,
+      "num_tokens": 4033341.0,
+      "step": 2210
+    },
+    {
+      "entropy": 5.951443433761597,
+      "epoch": 1.8351284175642086,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048675440309664314,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.1474481076002121,
+      "num_tokens": 4042446.0,
+      "step": 2215
+    },
+    {
+      "entropy": 5.832607173919678,
+      "epoch": 1.8392709196354597,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00048664616583856166,
+      "loss": 5.8924,
+      "mean_token_accuracy": 0.13868724405765534,
+      "num_tokens": 4051849.0,
+      "step": 2220
+    },
+    {
+      "entropy": 6.026660823822022,
+      "epoch": 1.8434134217067109,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00048653750166703516,
+      "loss": 5.9855,
+      "mean_token_accuracy": 0.1381051518023014,
+      "num_tokens": 4061075.0,
+      "step": 2225
+    },
+    {
+      "entropy": 5.976817560195923,
+      "epoch": 1.847555923777962,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004864284108012513,
+      "loss": 5.9524,
+      "mean_token_accuracy": 0.13498588278889656,
+      "num_tokens": 4071022.0,
+      "step": 2230
+    },
+    {
+      "entropy": 5.884273719787598,
+      "epoch": 1.851698425849213,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004863188934612583,
+      "loss": 5.854,
+      "mean_token_accuracy": 0.1435965158045292,
+      "num_tokens": 4080728.0,
+      "step": 2235
+    },
+    {
+      "entropy": 5.8848789691925045,
+      "epoch": 1.855840927920464,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004862089498679645,
+      "loss": 5.8121,
+      "mean_token_accuracy": 0.15146355628967284,
+      "num_tokens": 4088712.0,
+      "step": 2240
+    },
+    {
+      "entropy": 5.904728364944458,
+      "epoch": 1.8599834299917148,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004860985802431383,
+      "loss": 5.8445,
+      "mean_token_accuracy": 0.14107747822999955,
+      "num_tokens": 4097488.0,
+      "step": 2245
+    },
+    {
+      "entropy": 5.815548610687256,
+      "epoch": 1.864125932062966,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004859877848094071,
+      "loss": 5.8328,
+      "mean_token_accuracy": 0.14647450745105745,
+      "num_tokens": 4106485.0,
+      "step": 2250
+    },
+    {
+      "entropy": 5.969652986526489,
+      "epoch": 1.868268434134217,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004858765637902575,
+      "loss": 5.8016,
+      "mean_token_accuracy": 0.14588006138801574,
+      "num_tokens": 4115806.0,
+      "step": 2255
+    },
+    {
+      "entropy": 5.982199335098267,
+      "epoch": 1.8724109362054682,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004857649174100344,
+      "loss": 5.9353,
+      "mean_token_accuracy": 0.14478921219706536,
+      "num_tokens": 4124636.0,
+      "step": 2260
+    },
+    {
+      "entropy": 5.869907474517822,
+      "epoch": 1.8765534382767193,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.0004856528458939409,
+      "loss": 5.8948,
+      "mean_token_accuracy": 0.13403457626700402,
+      "num_tokens": 4133876.0,
+      "step": 2265
+    },
+    {
+      "entropy": 5.836872100830078,
+      "epoch": 1.8806959403479702,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004855403494680373,
+      "loss": 5.8159,
+      "mean_token_accuracy": 0.14096100330352784,
+      "num_tokens": 4143555.0,
+      "step": 2270
+    },
+    {
+      "entropy": 5.871636962890625,
+      "epoch": 1.884838442419221,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00048542742835924133,
+      "loss": 5.7773,
+      "mean_token_accuracy": 0.14253296032547952,
+      "num_tokens": 4153007.0,
+      "step": 2275
+    },
+    {
+      "entropy": 5.766701364517212,
+      "epoch": 1.8889809444904722,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048531408279532705,
+      "loss": 5.8171,
+      "mean_token_accuracy": 0.14552054405212403,
+      "num_tokens": 4162107.0,
+      "step": 2280
+    },
+    {
+      "entropy": 5.884533357620239,
+      "epoch": 1.8931234465617233,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048520031300492507,
+      "loss": 5.8208,
+      "mean_token_accuracy": 0.14203491136431695,
+      "num_tokens": 4170920.0,
+      "step": 2285
+    },
+    {
+      "entropy": 5.9367118835449215,
+      "epoch": 1.8972659486329744,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048508611921752124,
+      "loss": 5.8366,
+      "mean_token_accuracy": 0.14547978863120078,
+      "num_tokens": 4180226.0,
+      "step": 2290
+    },
+    {
+      "entropy": 5.804201984405518,
+      "epoch": 1.9014084507042255,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00048497150166345703,
+      "loss": 5.7799,
+      "mean_token_accuracy": 0.14307984560728074,
+      "num_tokens": 4189283.0,
+      "step": 2295
+    },
+    {
+      "entropy": 5.833661937713623,
+      "epoch": 1.9055509527754764,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004848564605739287,
+      "loss": 5.8181,
+      "mean_token_accuracy": 0.14286661818623542,
+      "num_tokens": 4199017.0,
+      "step": 2300
+    },
+    {
+      "entropy": 5.985245418548584,
+      "epoch": 1.9096934548467275,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048474099618098644,
+      "loss": 5.9557,
+      "mean_token_accuracy": 0.13776218444108962,
+      "num_tokens": 4207756.0,
+      "step": 2305
+    },
+    {
+      "entropy": 5.926583385467529,
+      "epoch": 1.9138359569179784,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004846251087175348,
+      "loss": 5.8467,
+      "mean_token_accuracy": 0.14270823299884797,
+      "num_tokens": 4216721.0,
+      "step": 2310
+    },
+    {
+      "entropy": 5.816466999053955,
+      "epoch": 1.9179784589892295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004845087984173312,
+      "loss": 5.8214,
+      "mean_token_accuracy": 0.14952016696333886,
+      "num_tokens": 4225596.0,
+      "step": 2315
+    },
+    {
+      "entropy": 5.975145244598389,
+      "epoch": 1.9221209610604806,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048439206551498644,
+      "loss": 5.8881,
+      "mean_token_accuracy": 0.14604572355747222,
+      "num_tokens": 4234500.0,
+      "step": 2320
+    },
+    {
+      "entropy": 5.83410792350769,
+      "epoch": 1.9262634631317317,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004842749102459635,
+      "loss": 5.8331,
+      "mean_token_accuracy": 0.14477182626724244,
+      "num_tokens": 4243240.0,
+      "step": 2325
+    },
+    {
+      "entropy": 5.799895906448365,
+      "epoch": 1.9304059652029826,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048415733284657727,
+      "loss": 5.8249,
+      "mean_token_accuracy": 0.14724751114845275,
+      "num_tokens": 4251892.0,
+      "step": 2330
+    },
+    {
+      "entropy": 5.914888668060303,
+      "epoch": 1.9345484672742337,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004840393335539943,
+      "loss": 5.784,
+      "mean_token_accuracy": 0.14537777602672577,
+      "num_tokens": 4261447.0,
+      "step": 2335
+    },
+    {
+      "entropy": 5.93565788269043,
+      "epoch": 1.9386909693454846,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048392091260623195,
+      "loss": 5.9202,
+      "mean_token_accuracy": 0.1471864774823189,
+      "num_tokens": 4270120.0,
+      "step": 2340
+    },
+    {
+      "entropy": 5.905978488922119,
+      "epoch": 1.9428334714167357,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048380207024215836,
+      "loss": 5.7991,
+      "mean_token_accuracy": 0.1482786476612091,
+      "num_tokens": 4278300.0,
+      "step": 2345
+    },
+    {
+      "entropy": 5.905145263671875,
+      "epoch": 1.9469759734879868,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00048368280670149145,
+      "loss": 5.8487,
+      "mean_token_accuracy": 0.1461447760462761,
+      "num_tokens": 4286454.0,
+      "step": 2350
+    },
+    {
+      "entropy": 5.805000495910645,
+      "epoch": 1.951118475559238,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004835631222247989,
+      "loss": 5.7243,
+      "mean_token_accuracy": 0.15050614029169082,
+      "num_tokens": 4294752.0,
+      "step": 2355
+    },
+    {
+      "entropy": 5.907592630386352,
+      "epoch": 1.9552609776304888,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00048344301705349735,
+      "loss": 5.7974,
+      "mean_token_accuracy": 0.14830030649900436,
+      "num_tokens": 4303195.0,
+      "step": 2360
+    },
+    {
+      "entropy": 5.841587924957276,
+      "epoch": 1.95940347970174,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048332249142985195,
+      "loss": 5.9211,
+      "mean_token_accuracy": 0.1373597078025341,
+      "num_tokens": 4311961.0,
+      "step": 2365
+    },
+    {
+      "entropy": 5.900353670120239,
+      "epoch": 1.9635459817729908,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004832015455969763,
+      "loss": 5.7748,
+      "mean_token_accuracy": 0.13879901468753814,
+      "num_tokens": 4322267.0,
+      "step": 2370
+    },
+    {
+      "entropy": 5.774641275405884,
+      "epoch": 1.9676884838442419,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048308017979883114,
+      "loss": 5.8838,
+      "mean_token_accuracy": 0.1426581546664238,
+      "num_tokens": 4330584.0,
+      "step": 2375
+    },
+    {
+      "entropy": 5.840176010131836,
+      "epoch": 1.971830985915493,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048295839428022454,
+      "loss": 5.7215,
+      "mean_token_accuracy": 0.14949245899915695,
+      "num_tokens": 4339215.0,
+      "step": 2380
+    },
+    {
+      "entropy": 5.869688034057617,
+      "epoch": 1.975973487986744,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00048283618928681127,
+      "loss": 5.7418,
+      "mean_token_accuracy": 0.1501791574060917,
+      "num_tokens": 4347711.0,
+      "step": 2385
+    },
+    {
+      "entropy": 5.764533996582031,
+      "epoch": 1.980115990057995,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004827135650650923,
+      "loss": 5.7445,
+      "mean_token_accuracy": 0.14758301600813867,
+      "num_tokens": 4356982.0,
+      "step": 2390
+    },
+    {
+      "entropy": 5.770398235321045,
+      "epoch": 1.984258492129246,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004825905218624139,
+      "loss": 5.7696,
+      "mean_token_accuracy": 0.14773683473467827,
+      "num_tokens": 4365378.0,
+      "step": 2395
+    },
+    {
+      "entropy": 5.9908288478851315,
+      "epoch": 1.988400994200497,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048246705992696756,
+      "loss": 5.8174,
+      "mean_token_accuracy": 0.14142358154058457,
+      "num_tokens": 4374007.0,
+      "step": 2400
+    },
+    {
+      "entropy": 5.9741987705230715,
+      "epoch": 1.992543496271748,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048234317950778975,
+      "loss": 5.9346,
+      "mean_token_accuracy": 0.1409923940896988,
+      "num_tokens": 4383909.0,
+      "step": 2405
+    },
+    {
+      "entropy": 5.967488718032837,
+      "epoch": 1.9966859983429992,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004822188808547607,
+      "loss": 5.9967,
+      "mean_token_accuracy": 0.13560240790247918,
+      "num_tokens": 4393145.0,
+      "step": 2410
+    },
+    {
+      "entropy": 5.751282596588135,
+      "epoch": 2.0008285004142503,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004820941642186043,
+      "loss": 5.7146,
+      "mean_token_accuracy": 0.14043126851320267,
+      "num_tokens": 4402024.0,
+      "step": 2415
+    },
+    {
+      "entropy": 5.91456356048584,
+      "epoch": 2.0049710024855014,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004819690298508879,
+      "loss": 5.5395,
+      "mean_token_accuracy": 0.1603303700685501,
+      "num_tokens": 4411377.0,
+      "step": 2420
+    },
+    {
+      "entropy": 5.758482313156128,
+      "epoch": 2.009113504556752,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048184347800402083,
+      "loss": 5.4299,
+      "mean_token_accuracy": 0.16564757078886033,
+      "num_tokens": 4419781.0,
+      "step": 2425
+    },
+    {
+      "entropy": 5.727555131912231,
+      "epoch": 2.013256006628003,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004817175089312551,
+      "loss": 5.4154,
+      "mean_token_accuracy": 0.16400155574083328,
+      "num_tokens": 4428427.0,
+      "step": 2430
+    },
+    {
+      "entropy": 5.749885892868042,
+      "epoch": 2.0173985086992543,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048159112288668403,
+      "loss": 5.4586,
+      "mean_token_accuracy": 0.15933601409196854,
+      "num_tokens": 4438156.0,
+      "step": 2435
+    },
+    {
+      "entropy": 5.876013088226318,
+      "epoch": 2.0215410107705054,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00048146432012524215,
+      "loss": 5.4819,
+      "mean_token_accuracy": 0.16306492537260056,
+      "num_tokens": 4446342.0,
+      "step": 2440
+    },
+    {
+      "entropy": 5.738983201980591,
+      "epoch": 2.0256835128417565,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00048133710090270446,
+      "loss": 5.5229,
+      "mean_token_accuracy": 0.1542331963777542,
+      "num_tokens": 4455582.0,
+      "step": 2445
+    },
+    {
+      "entropy": 5.815389633178711,
+      "epoch": 2.0298260149130076,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048120946547568596,
+      "loss": 5.5375,
+      "mean_token_accuracy": 0.15604802072048188,
+      "num_tokens": 4464518.0,
+      "step": 2450
+    },
+    {
+      "entropy": 5.927202749252319,
+      "epoch": 2.0339685169842583,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00048108141410164133,
+      "loss": 5.6588,
+      "mean_token_accuracy": 0.14534952044486998,
+      "num_tokens": 4475031.0,
+      "step": 2455
+    },
+    {
+      "entropy": 5.8722837448120115,
+      "epoch": 2.0381110190555094,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004809529470388642,
+      "loss": 5.5396,
+      "mean_token_accuracy": 0.1577153742313385,
+      "num_tokens": 4484609.0,
+      "step": 2460
+    },
+    {
+      "entropy": 5.787671709060669,
+      "epoch": 2.0422535211267605,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004808240645464866,
+      "loss": 5.5698,
+      "mean_token_accuracy": 0.15477177649736404,
+      "num_tokens": 4494238.0,
+      "step": 2465
+    },
+    {
+      "entropy": 5.684235668182373,
+      "epoch": 2.0463960231980116,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004806947668844787,
+      "loss": 5.4573,
+      "mean_token_accuracy": 0.16172746568918228,
+      "num_tokens": 4503258.0,
+      "step": 2470
+    },
+    {
+      "entropy": 5.786364412307739,
+      "epoch": 2.0505385252692627,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048056505431364794,
+      "loss": 5.5091,
+      "mean_token_accuracy": 0.15975141078233718,
+      "num_tokens": 4512071.0,
+      "step": 2475
+    },
+    {
+      "entropy": 5.736668491363526,
+      "epoch": 2.054681027340514,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00048043492709563877,
+      "loss": 5.3461,
+      "mean_token_accuracy": 0.17059434503316878,
+      "num_tokens": 4520219.0,
+      "step": 2480
+    },
+    {
+      "entropy": 5.672813034057617,
+      "epoch": 2.0588235294117645,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048030438549293193,
+      "loss": 5.5568,
+      "mean_token_accuracy": 0.15284566581249237,
+      "num_tokens": 4529386.0,
+      "step": 2485
+    },
+    {
+      "entropy": 5.830966377258301,
+      "epoch": 2.0629660314830156,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00048017342976884424,
+      "loss": 5.5638,
+      "mean_token_accuracy": 0.15199215039610864,
+      "num_tokens": 4538860.0,
+      "step": 2490
+    },
+    {
+      "entropy": 5.761076402664185,
+      "epoch": 2.0671085335542667,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048004206018752773,
+      "loss": 5.5299,
+      "mean_token_accuracy": 0.15335657596588134,
+      "num_tokens": 4547842.0,
+      "step": 2495
+    },
+    {
+      "entropy": 5.733208799362183,
+      "epoch": 2.071251035625518,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047991027701396895,
+      "loss": 5.5026,
+      "mean_token_accuracy": 0.15411428660154342,
+      "num_tokens": 4556238.0,
+      "step": 2500
+    },
+    {
+      "epoch": 2.071251035625518,
+      "eval_entropy": 5.642364594473768,
+      "eval_loss": 6.032641410827637,
+      "eval_mean_token_accuracy": 0.1416530203399882,
+      "eval_num_tokens": 4556238.0,
+      "eval_runtime": 2.7817,
+      "eval_samples_per_second": 1347.034,
+      "eval_steps_per_second": 168.604,
+      "step": 2500
+    },
+    {
+      "entropy": 5.732073068618774,
+      "epoch": 2.075393537696769,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004797780805139892,
+      "loss": 5.5069,
+      "mean_token_accuracy": 0.1587075412273407,
+      "num_tokens": 4565684.0,
+      "step": 2505
+    },
+    {
+      "entropy": 5.722462224960327,
+      "epoch": 2.07953603976802,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004796454709542432,
+      "loss": 5.467,
+      "mean_token_accuracy": 0.1590041533112526,
+      "num_tokens": 4575001.0,
+      "step": 2510
+    },
+    {
+      "entropy": 5.797696113586426,
+      "epoch": 2.083678541839271,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004795124486022189,
+      "loss": 5.5732,
+      "mean_token_accuracy": 0.15362634360790253,
+      "num_tokens": 4584128.0,
+      "step": 2515
+    },
+    {
+      "entropy": 5.711380529403686,
+      "epoch": 2.087821043910522,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047937901372623694,
+      "loss": 5.4191,
+      "mean_token_accuracy": 0.16894411891698838,
+      "num_tokens": 4593011.0,
+      "step": 2520
+    },
+    {
+      "entropy": 5.688450145721435,
+      "epoch": 2.091963545981773,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00047924516659545005,
+      "loss": 5.4668,
+      "mean_token_accuracy": 0.16164053976535797,
+      "num_tokens": 4602676.0,
+      "step": 2525
+    },
+    {
+      "entropy": 5.79151463508606,
+      "epoch": 2.096106048053024,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004791109074798425,
+      "loss": 5.5522,
+      "mean_token_accuracy": 0.15433578938245773,
+      "num_tokens": 4611915.0,
+      "step": 2530
+    },
+    {
+      "entropy": 5.748647403717041,
+      "epoch": 2.100248550124275,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004789762366502296,
+      "loss": 5.5184,
+      "mean_token_accuracy": 0.15959300100803375,
+      "num_tokens": 4621396.0,
+      "step": 2535
+    },
+    {
+      "entropy": 5.7374598503112795,
+      "epoch": 2.1043910521955262,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004788411543782571,
+      "loss": 5.5201,
+      "mean_token_accuracy": 0.1591552659869194,
+      "num_tokens": 4630533.0,
+      "step": 2540
+    },
+    {
+      "entropy": 5.678498649597168,
+      "epoch": 2.108533554266777,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004787056609364008,
+      "loss": 5.4599,
+      "mean_token_accuracy": 0.1542729303240776,
+      "num_tokens": 4639023.0,
+      "step": 2545
+    },
+    {
+      "entropy": 5.711474943161011,
+      "epoch": 2.112676056338028,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004785697565979657,
+      "loss": 5.4732,
+      "mean_token_accuracy": 0.15900285094976424,
+      "num_tokens": 4647975.0,
+      "step": 2550
+    },
+    {
+      "entropy": 5.72883243560791,
+      "epoch": 2.116818558409279,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004784334416370857,
+      "loss": 5.498,
+      "mean_token_accuracy": 0.15594277828931807,
+      "num_tokens": 4657555.0,
+      "step": 2555
+    },
+    {
+      "entropy": 5.745093822479248,
+      "epoch": 2.1209610604805302,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004782967163287231,
+      "loss": 5.4193,
+      "mean_token_accuracy": 0.16100153774023057,
+      "num_tokens": 4667228.0,
+      "step": 2560
+    },
+    {
+      "entropy": 5.716836738586426,
+      "epoch": 2.1251035625517813,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047815958094866756,
+      "loss": 5.4957,
+      "mean_token_accuracy": 0.1513967014849186,
+      "num_tokens": 4676723.0,
+      "step": 2565
+    },
+    {
+      "entropy": 5.7276163578033445,
+      "epoch": 2.1292460646230325,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004780220357735363,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.15479894131422042,
+      "num_tokens": 4686241.0,
+      "step": 2570
+    },
+    {
+      "entropy": 5.764811038970947,
+      "epoch": 2.1333885666942836,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047788408108077294,
+      "loss": 5.5404,
+      "mean_token_accuracy": 0.1561874568462372,
+      "num_tokens": 4695195.0,
+      "step": 2575
+    },
+    {
+      "entropy": 5.739376497268677,
+      "epoch": 2.1375310687655342,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004777457171486471,
+      "loss": 5.5871,
+      "mean_token_accuracy": 0.15551834553480148,
+      "num_tokens": 4704716.0,
+      "step": 2580
+    },
+    {
+      "entropy": 5.769967555999756,
+      "epoch": 2.1416735708367853,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004776069442562541,
+      "loss": 5.5562,
+      "mean_token_accuracy": 0.15339450240135194,
+      "num_tokens": 4713720.0,
+      "step": 2585
+    },
+    {
+      "entropy": 5.733342504501342,
+      "epoch": 2.1458160729080364,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004774677626835138,
+      "loss": 5.5366,
+      "mean_token_accuracy": 0.15301723331212996,
+      "num_tokens": 4722428.0,
+      "step": 2590
+    },
+    {
+      "entropy": 5.787648677825928,
+      "epoch": 2.1499585749792876,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00047732817271117084,
+      "loss": 5.5365,
+      "mean_token_accuracy": 0.15334974452853203,
+      "num_tokens": 4732395.0,
+      "step": 2595
+    },
+    {
+      "entropy": 5.773520803451538,
+      "epoch": 2.1541010770505387,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004771881746207934,
+      "loss": 5.5206,
+      "mean_token_accuracy": 0.15674114525318145,
+      "num_tokens": 4741071.0,
+      "step": 2600
+    },
+    {
+      "entropy": 5.607013797760009,
+      "epoch": 2.1582435791217898,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047704776869477285,
+      "loss": 5.5153,
+      "mean_token_accuracy": 0.15076877027750016,
+      "num_tokens": 4749876.0,
+      "step": 2605
+    },
+    {
+      "entropy": 5.784313154220581,
+      "epoch": 2.1623860811930404,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00047690695521632344,
+      "loss": 5.4669,
+      "mean_token_accuracy": 0.16002854704856873,
+      "num_tokens": 4758721.0,
+      "step": 2610
+    },
+    {
+      "entropy": 5.6919313907623295,
+      "epoch": 2.1665285832642915,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047676573446948114,
+      "loss": 5.4832,
+      "mean_token_accuracy": 0.15925751626491547,
+      "num_tokens": 4767162.0,
+      "step": 2615
+    },
+    {
+      "entropy": 5.71550760269165,
+      "epoch": 2.1706710853355426,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047662410673910376,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.1629578560590744,
+      "num_tokens": 4776397.0,
+      "step": 2620
+    },
+    {
+      "entropy": 5.665811157226562,
+      "epoch": 2.1748135874067938,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047648207231087,
+      "loss": 5.4579,
+      "mean_token_accuracy": 0.15894875824451446,
+      "num_tokens": 4784822.0,
+      "step": 2625
+    },
+    {
+      "entropy": 5.71003270149231,
+      "epoch": 2.178956089478045,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004763396314712786,
+      "loss": 5.5297,
+      "mean_token_accuracy": 0.15831661075353623,
+      "num_tokens": 4794272.0,
+      "step": 2630
+    },
+    {
+      "entropy": 5.64026665687561,
+      "epoch": 2.183098591549296,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004761967845076484,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.15510014593601226,
+      "num_tokens": 4804314.0,
+      "step": 2635
+    },
+    {
+      "entropy": 5.6847330093383786,
+      "epoch": 2.1872410936205466,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004760535317081174,
+      "loss": 5.4694,
+      "mean_token_accuracy": 0.15845878273248673,
+      "num_tokens": 4812685.0,
+      "step": 2640
+    },
+    {
+      "entropy": 5.715235567092895,
+      "epoch": 2.1913835956917977,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047590987336164207,
+      "loss": 5.5532,
+      "mean_token_accuracy": 0.1562129870057106,
+      "num_tokens": 4821761.0,
+      "step": 2645
+    },
+    {
+      "entropy": 5.741413831710815,
+      "epoch": 2.195526097763049,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00047576580975799705,
+      "loss": 5.5307,
+      "mean_token_accuracy": 0.1623195379972458,
+      "num_tokens": 4830515.0,
+      "step": 2650
+    },
+    {
+      "entropy": 5.782008934020996,
+      "epoch": 2.1996685998343,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004756213411877743,
+      "loss": 5.5059,
+      "mean_token_accuracy": 0.14879967421293258,
+      "num_tokens": 4840741.0,
+      "step": 2655
+    },
+    {
+      "entropy": 5.612497425079345,
+      "epoch": 2.203811101905551,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047547646794238277,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.16198884546756745,
+      "num_tokens": 4849571.0,
+      "step": 2660
+    },
+    {
+      "entropy": 5.689143991470337,
+      "epoch": 2.207953603976802,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047533119031404757,
+      "loss": 5.4138,
+      "mean_token_accuracy": 0.1696420982480049,
+      "num_tokens": 4857194.0,
+      "step": 2665
+    },
+    {
+      "entropy": 5.632621717453003,
+      "epoch": 2.212096106048053,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00047518550859580966,
+      "loss": 5.5074,
+      "mean_token_accuracy": 0.1592964008450508,
+      "num_tokens": 4865894.0,
+      "step": 2670
+    },
+    {
+      "entropy": 5.74289755821228,
+      "epoch": 2.216238608119304,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004750394230815249,
+      "loss": 5.5268,
+      "mean_token_accuracy": 0.15829544067382811,
+      "num_tokens": 4875131.0,
+      "step": 2675
+    },
+    {
+      "entropy": 5.670539522171021,
+      "epoch": 2.220381110190555,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047489293406586375,
+      "loss": 5.3777,
+      "mean_token_accuracy": 0.1620385766029358,
+      "num_tokens": 4884098.0,
+      "step": 2680
+    },
+    {
+      "entropy": 5.657269620895386,
+      "epoch": 2.224523612261806,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004747460418443106,
+      "loss": 5.4373,
+      "mean_token_accuracy": 0.15941016003489494,
+      "num_tokens": 4892963.0,
+      "step": 2685
+    },
+    {
+      "entropy": 5.690485191345215,
+      "epoch": 2.2286661143330573,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047459874671316305,
+      "loss": 5.4903,
+      "mean_token_accuracy": 0.15749651044607163,
+      "num_tokens": 4902097.0,
+      "step": 2690
+    },
+    {
+      "entropy": 5.608357000350952,
+      "epoch": 2.2328086164043084,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00047445104896953153,
+      "loss": 5.4015,
+      "mean_token_accuracy": 0.16532779037952422,
+      "num_tokens": 4910469.0,
+      "step": 2695
+    },
+    {
+      "entropy": 5.82715744972229,
+      "epoch": 2.236951118475559,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047430294891133846,
+      "loss": 5.6892,
+      "mean_token_accuracy": 0.1501491665840149,
+      "num_tokens": 4921024.0,
+      "step": 2700
+    },
+    {
+      "entropy": 5.749764776229858,
+      "epoch": 2.24109362054681,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004741544468373179,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15474629402160645,
+      "num_tokens": 4930297.0,
+      "step": 2705
+    },
+    {
+      "entropy": 5.687776947021485,
+      "epoch": 2.2452361226180613,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00047400554304701474,
+      "loss": 5.4692,
+      "mean_token_accuracy": 0.16049361675977708,
+      "num_tokens": 4938971.0,
+      "step": 2710
+    },
+    {
+      "entropy": 5.571053695678711,
+      "epoch": 2.2493786246893124,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047385623784078427,
+      "loss": 5.4899,
+      "mean_token_accuracy": 0.15803302526474,
+      "num_tokens": 4948531.0,
+      "step": 2715
+    },
+    {
+      "entropy": 5.787879133224488,
+      "epoch": 2.2535211267605635,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004737065315197913,
+      "loss": 5.5664,
+      "mean_token_accuracy": 0.1587745025753975,
+      "num_tokens": 4957430.0,
+      "step": 2720
+    },
+    {
+      "entropy": 5.720958280563354,
+      "epoch": 2.2576636288318146,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047355642438600987,
+      "loss": 5.5478,
+      "mean_token_accuracy": 0.16044806241989135,
+      "num_tokens": 4966681.0,
+      "step": 2725
+    },
+    {
+      "entropy": 5.638753175735474,
+      "epoch": 2.2618061309030653,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004734059167422225,
+      "loss": 5.4123,
+      "mean_token_accuracy": 0.1639780133962631,
+      "num_tokens": 4975327.0,
+      "step": 2730
+    },
+    {
+      "entropy": 5.634887552261352,
+      "epoch": 2.2659486329743164,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047325500889201956,
+      "loss": 5.4725,
+      "mean_token_accuracy": 0.16207436099648476,
+      "num_tokens": 4983741.0,
+      "step": 2735
+    },
+    {
+      "entropy": 5.673438644409179,
+      "epoch": 2.2700911350455675,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004731037011397986,
+      "loss": 5.5662,
+      "mean_token_accuracy": 0.15884149968624114,
+      "num_tokens": 4993171.0,
+      "step": 2740
+    },
+    {
+      "entropy": 5.752307653427124,
+      "epoch": 2.2742336371168186,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047295199379076403,
+      "loss": 5.6,
+      "mean_token_accuracy": 0.15322241187095642,
+      "num_tokens": 5002810.0,
+      "step": 2745
+    },
+    {
+      "entropy": 5.7073346138000485,
+      "epoch": 2.2783761391880697,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000472799887150926,
+      "loss": 5.4893,
+      "mean_token_accuracy": 0.15741414427757264,
+      "num_tokens": 5011875.0,
+      "step": 2750
+    },
+    {
+      "entropy": 5.679959297180176,
+      "epoch": 2.282518641259321,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004726473815271003,
+      "loss": 5.5349,
+      "mean_token_accuracy": 0.15855301022529603,
+      "num_tokens": 5020780.0,
+      "step": 2755
+    },
+    {
+      "entropy": 5.669374132156372,
+      "epoch": 2.286661143330572,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047249447722690747,
+      "loss": 5.4331,
+      "mean_token_accuracy": 0.16046710908412934,
+      "num_tokens": 5029896.0,
+      "step": 2760
+    },
+    {
+      "entropy": 5.652454280853272,
+      "epoch": 2.2908036454018226,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047234117455877215,
+      "loss": 5.4932,
+      "mean_token_accuracy": 0.1545606277883053,
+      "num_tokens": 5038956.0,
+      "step": 2765
+    },
+    {
+      "entropy": 5.639697694778443,
+      "epoch": 2.2949461474730737,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004721874738319225,
+      "loss": 5.4594,
+      "mean_token_accuracy": 0.17258906960487366,
+      "num_tokens": 5047005.0,
+      "step": 2770
+    },
+    {
+      "entropy": 5.655842065811157,
+      "epoch": 2.299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004720333753563898,
+      "loss": 5.5008,
+      "mean_token_accuracy": 0.15116662830114364,
+      "num_tokens": 5056475.0,
+      "step": 2775
+    },
+    {
+      "entropy": 5.704644584655762,
+      "epoch": 2.303231151615576,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00047187887944300747,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16439782381057738,
+      "num_tokens": 5064978.0,
+      "step": 2780
+    },
+    {
+      "entropy": 5.726413679122925,
+      "epoch": 2.307373653686827,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004717239864034107,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.15506226867437362,
+      "num_tokens": 5074235.0,
+      "step": 2785
+    },
+    {
+      "entropy": 5.662968683242798,
+      "epoch": 2.3115161557580777,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047156869655003554,
+      "loss": 5.4481,
+      "mean_token_accuracy": 0.16141191571950914,
+      "num_tokens": 5082386.0,
+      "step": 2790
+    },
+    {
+      "entropy": 5.631324100494385,
+      "epoch": 2.315658657829329,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047141301019611875,
+      "loss": 5.4164,
+      "mean_token_accuracy": 0.16636510640382768,
+      "num_tokens": 5090634.0,
+      "step": 2795
+    },
+    {
+      "entropy": 5.818879795074463,
+      "epoch": 2.31980115990058,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004712569276556967,
+      "loss": 5.5906,
+      "mean_token_accuracy": 0.14937217235565187,
+      "num_tokens": 5099003.0,
+      "step": 2800
+    },
+    {
+      "entropy": 5.617757177352905,
+      "epoch": 2.323943661971831,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00047110044924360484,
+      "loss": 5.6681,
+      "mean_token_accuracy": 0.1565680392086506,
+      "num_tokens": 5108631.0,
+      "step": 2805
+    },
+    {
+      "entropy": 5.732515859603882,
+      "epoch": 2.328086164043082,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00047094357527547725,
+      "loss": 5.4545,
+      "mean_token_accuracy": 0.15828853249549865,
+      "num_tokens": 5117309.0,
+      "step": 2810
+    },
+    {
+      "entropy": 5.686485624313354,
+      "epoch": 2.332228666114333,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004707863060677459,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.1627561032772064,
+      "num_tokens": 5126305.0,
+      "step": 2815
+    },
+    {
+      "entropy": 5.821760654449463,
+      "epoch": 2.3363711681855843,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00047062864193764,
+      "loss": 5.6022,
+      "mean_token_accuracy": 0.15580221712589265,
+      "num_tokens": 5135338.0,
+      "step": 2820
+    },
+    {
+      "entropy": 5.676449155807495,
+      "epoch": 2.340513670256835,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047047058320318525,
+      "loss": 5.5298,
+      "mean_token_accuracy": 0.16162888556718827,
+      "num_tokens": 5144518.0,
+      "step": 2825
+    },
+    {
+      "entropy": 5.702890157699585,
+      "epoch": 2.344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004703121301832034,
+      "loss": 5.6262,
+      "mean_token_accuracy": 0.15101130157709122,
+      "num_tokens": 5154102.0,
+      "step": 2830
+    },
+    {
+      "entropy": 5.7891247272491455,
+      "epoch": 2.348798674399337,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047015328319731153,
+      "loss": 5.5642,
+      "mean_token_accuracy": 0.15612353384494781,
+      "num_tokens": 5163719.0,
+      "step": 2835
+    },
+    {
+      "entropy": 5.677855682373047,
+      "epoch": 2.3529411764705883,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004699940425659215,
+      "loss": 5.5247,
+      "mean_token_accuracy": 0.15519936084747316,
+      "num_tokens": 5173192.0,
+      "step": 2840
+    },
+    {
+      "entropy": 5.622324132919312,
+      "epoch": 2.3570836785418394,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00046983440861023877,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.1663823500275612,
+      "num_tokens": 5182438.0,
+      "step": 2845
+    },
+    {
+      "entropy": 5.699106454849243,
+      "epoch": 2.36122618061309,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046967438165226275,
+      "loss": 5.6015,
+      "mean_token_accuracy": 0.15352728664875032,
+      "num_tokens": 5191595.0,
+      "step": 2850
+    },
+    {
+      "entropy": 5.659265756607056,
+      "epoch": 2.365368682684341,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004695139620147851,
+      "loss": 5.4682,
+      "mean_token_accuracy": 0.1643056571483612,
+      "num_tokens": 5200174.0,
+      "step": 2855
+    },
+    {
+      "entropy": 5.713242053985596,
+      "epoch": 2.3695111847555923,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046935315002138994,
+      "loss": 5.5804,
+      "mean_token_accuracy": 0.15417435318231582,
+      "num_tokens": 5210454.0,
+      "step": 2860
+    },
+    {
+      "entropy": 5.727554702758789,
+      "epoch": 2.3736536868268434,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004691919459964525,
+      "loss": 5.5019,
+      "mean_token_accuracy": 0.16056040227413176,
+      "num_tokens": 5219243.0,
+      "step": 2865
+    },
+    {
+      "entropy": 5.5862212657928465,
+      "epoch": 2.3777961888980945,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046903035026513894,
+      "loss": 5.4319,
+      "mean_token_accuracy": 0.1613735228776932,
+      "num_tokens": 5228656.0,
+      "step": 2870
+    },
+    {
+      "entropy": 5.587289905548095,
+      "epoch": 2.3819386909693456,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004688683631534056,
+      "loss": 5.4859,
+      "mean_token_accuracy": 0.156366066634655,
+      "num_tokens": 5237807.0,
+      "step": 2875
+    },
+    {
+      "entropy": 5.775411653518677,
+      "epoch": 2.3860811930405967,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004687059849879981,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.1609719067811966,
+      "num_tokens": 5247432.0,
+      "step": 2880
+    },
+    {
+      "entropy": 5.597807741165161,
+      "epoch": 2.3902236951118474,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00046854321609645093,
+      "loss": 5.4145,
+      "mean_token_accuracy": 0.16111126840114592,
+      "num_tokens": 5256680.0,
+      "step": 2885
+    },
+    {
+      "entropy": 5.6380726337432865,
+      "epoch": 2.3943661971830985,
+      "grad_norm": 2.15625,
+      "learning_rate": 0.00046838005680708677,
+      "loss": 5.5296,
+      "mean_token_accuracy": 0.14821895360946655,
+      "num_tokens": 5266793.0,
+      "step": 2890
+    },
+    {
+      "entropy": 5.710390281677246,
+      "epoch": 2.3985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046821650744901573,
+      "loss": 5.4452,
+      "mean_token_accuracy": 0.15857197493314742,
+      "num_tokens": 5275028.0,
+      "step": 2895
+    },
+    {
+      "entropy": 5.598506593704224,
+      "epoch": 2.4026512013256007,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004680525683521347,
+      "loss": 5.5226,
+      "mean_token_accuracy": 0.1566852644085884,
+      "num_tokens": 5284162.0,
+      "step": 2900
+    },
+    {
+      "entropy": 5.757242631912232,
+      "epoch": 2.406793703396852,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004678882398471269,
+      "loss": 5.5911,
+      "mean_token_accuracy": 0.15474308133125306,
+      "num_tokens": 5293263.0,
+      "step": 2905
+    },
+    {
+      "entropy": 5.654598569869995,
+      "epoch": 2.4109362054681025,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046772352226546066,
+      "loss": 5.477,
+      "mean_token_accuracy": 0.1666618600487709,
+      "num_tokens": 5301373.0,
+      "step": 2910
+    },
+    {
+      "entropy": 5.643638467788696,
+      "epoch": 2.4150787075393536,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004675584159393895,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.15203802064061164,
+      "num_tokens": 5311009.0,
+      "step": 2915
+    },
+    {
+      "entropy": 5.699149656295776,
+      "epoch": 2.4192212096106047,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046739292120195083,
+      "loss": 5.5245,
+      "mean_token_accuracy": 0.16085631400346756,
+      "num_tokens": 5320341.0,
+      "step": 2920
+    },
+    {
+      "entropy": 5.642888498306275,
+      "epoch": 2.423363711681856,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004672270383869657,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1610630214214325,
+      "num_tokens": 5329250.0,
+      "step": 2925
+    },
+    {
+      "entropy": 5.62935357093811,
+      "epoch": 2.427506213753107,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004670607678290379,
+      "loss": 5.4471,
+      "mean_token_accuracy": 0.16571807861328125,
+      "num_tokens": 5336515.0,
+      "step": 2930
+    },
+    {
+      "entropy": 5.655415058135986,
+      "epoch": 2.431648715824358,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004668941098635532,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.1595415398478508,
+      "num_tokens": 5346043.0,
+      "step": 2935
+    },
+    {
+      "entropy": 5.642036104202271,
+      "epoch": 2.435791217895609,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00046672706482667897,
+      "loss": 5.4925,
+      "mean_token_accuracy": 0.15832271426916122,
+      "num_tokens": 5355124.0,
+      "step": 2940
+    },
+    {
+      "entropy": 5.647988367080688,
+      "epoch": 2.43993371996686,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004665596330553633,
+      "loss": 5.5051,
+      "mean_token_accuracy": 0.1597411409020424,
+      "num_tokens": 5364556.0,
+      "step": 2945
+    },
+    {
+      "entropy": 5.67459397315979,
+      "epoch": 2.444076222038111,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046639181488733445,
+      "loss": 5.5316,
+      "mean_token_accuracy": 0.15941161364316941,
+      "num_tokens": 5373778.0,
+      "step": 2950
+    },
+    {
+      "entropy": 5.725692987442017,
+      "epoch": 2.448218724109362,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004662236106610999,
+      "loss": 5.5123,
+      "mean_token_accuracy": 0.15816445648670197,
+      "num_tokens": 5382633.0,
+      "step": 2955
+    },
+    {
+      "entropy": 5.5606146335601805,
+      "epoch": 2.452361226180613,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00046605502071594604,
+      "loss": 5.4163,
+      "mean_token_accuracy": 0.16387673169374467,
+      "num_tokens": 5391442.0,
+      "step": 2960
+    },
+    {
+      "entropy": 5.569208765029908,
+      "epoch": 2.4565037282518642,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004658860453919371,
+      "loss": 5.4388,
+      "mean_token_accuracy": 0.1621423229575157,
+      "num_tokens": 5400504.0,
+      "step": 2965
+    },
+    {
+      "entropy": 5.587312078475952,
+      "epoch": 2.460646230323115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004657166850299149,
+      "loss": 5.4448,
+      "mean_token_accuracy": 0.16361159086227417,
+      "num_tokens": 5408939.0,
+      "step": 2970
+    },
+    {
+      "entropy": 5.629118537902832,
+      "epoch": 2.464788732394366,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004655469399714978,
+      "loss": 5.4722,
+      "mean_token_accuracy": 0.1575179159641266,
+      "num_tokens": 5418934.0,
+      "step": 2975
+    },
+    {
+      "entropy": 5.572103595733642,
+      "epoch": 2.468931234465617,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004653768105590799,
+      "loss": 5.4955,
+      "mean_token_accuracy": 0.16008511185646057,
+      "num_tokens": 5427894.0,
+      "step": 2980
+    },
+    {
+      "entropy": 5.683330011367798,
+      "epoch": 2.4730737365368682,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046520629713583115,
+      "loss": 5.5003,
+      "mean_token_accuracy": 0.1613202139735222,
+      "num_tokens": 5436830.0,
+      "step": 2985
+    },
+    {
+      "entropy": 5.597742080688477,
+      "epoch": 2.4772162386081193,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046503540004569555,
+      "loss": 5.4814,
+      "mean_token_accuracy": 0.16423845291137695,
+      "num_tokens": 5445504.0,
+      "step": 2990
+    },
+    {
+      "entropy": 5.679887342453003,
+      "epoch": 2.4813587406793705,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046486411963339125,
+      "loss": 5.5405,
+      "mean_token_accuracy": 0.15501321628689765,
+      "num_tokens": 5455378.0,
+      "step": 2995
+    },
+    {
+      "entropy": 5.712473011016845,
+      "epoch": 2.4855012427506216,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046469245624440955,
+      "loss": 5.6107,
+      "mean_token_accuracy": 0.1589423656463623,
+      "num_tokens": 5465334.0,
+      "step": 3000
+    },
+    {
+      "epoch": 2.4855012427506216,
+      "eval_entropy": 5.590163738234465,
+      "eval_loss": 5.965892314910889,
+      "eval_mean_token_accuracy": 0.14734836894947329,
+      "eval_num_tokens": 5465334.0,
+      "eval_runtime": 2.7526,
+      "eval_samples_per_second": 1361.234,
+      "eval_steps_per_second": 170.381,
+      "step": 3000
+    },
+    {
+      "entropy": 5.751126146316528,
+      "epoch": 2.4896437448218722,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046452041022501423,
+      "loss": 5.5858,
+      "mean_token_accuracy": 0.15555662512779236,
+      "num_tokens": 5475701.0,
+      "step": 3005
+    },
+    {
+      "entropy": 5.699931526184082,
+      "epoch": 2.4937862468931233,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004643479819222411,
+      "loss": 5.4828,
+      "mean_token_accuracy": 0.16229774355888366,
+      "num_tokens": 5485244.0,
+      "step": 3010
+    },
+    {
+      "entropy": 5.596950387954712,
+      "epoch": 2.4979287489643744,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046417517168389664,
+      "loss": 5.4434,
+      "mean_token_accuracy": 0.1682340309023857,
+      "num_tokens": 5493587.0,
+      "step": 3015
+    },
+    {
+      "entropy": 5.6203169345855715,
+      "epoch": 2.5020712510356256,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004640019798585581,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.15738681554794312,
+      "num_tokens": 5503117.0,
+      "step": 3020
+    },
+    {
+      "entropy": 5.762682390213013,
+      "epoch": 2.5062137531068767,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046382840679557233,
+      "loss": 5.5352,
+      "mean_token_accuracy": 0.16024575680494307,
+      "num_tokens": 5512742.0,
+      "step": 3025
+    },
+    {
+      "entropy": 5.647499704360962,
+      "epoch": 2.5103562551781273,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00046365445284505516,
+      "loss": 5.4968,
+      "mean_token_accuracy": 0.16166605204343795,
+      "num_tokens": 5521862.0,
+      "step": 3030
+    },
+    {
+      "entropy": 5.597900772094727,
+      "epoch": 2.5144987572493784,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.0004634801183578907,
+      "loss": 5.488,
+      "mean_token_accuracy": 0.1608501434326172,
+      "num_tokens": 5531244.0,
+      "step": 3035
+    },
+    {
+      "entropy": 5.655751419067383,
+      "epoch": 2.5186412593206295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046330540368573063,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15176820158958435,
+      "num_tokens": 5540786.0,
+      "step": 3040
+    },
+    {
+      "entropy": 5.7291028022766115,
+      "epoch": 2.5227837613918807,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046313030918099365,
+      "loss": 5.5224,
+      "mean_token_accuracy": 0.1602902241051197,
+      "num_tokens": 5549961.0,
+      "step": 3045
+    },
+    {
+      "entropy": 5.620108366012573,
+      "epoch": 2.5269262634631318,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00046295483519686437,
+      "loss": 5.4591,
+      "mean_token_accuracy": 0.16417455673217773,
+      "num_tokens": 5558941.0,
+      "step": 3050
+    },
+    {
+      "entropy": 5.644694232940674,
+      "epoch": 2.531068765534383,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046277898208729306,
+      "loss": 5.4673,
+      "mean_token_accuracy": 0.16716189235448836,
+      "num_tokens": 5567630.0,
+      "step": 3055
+    },
+    {
+      "entropy": 5.586954879760742,
+      "epoch": 2.535211267605634,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004626027502069947,
+      "loss": 5.4301,
+      "mean_token_accuracy": 0.16521373838186265,
+      "num_tokens": 5576430.0,
+      "step": 3060
+    },
+    {
+      "entropy": 5.650178289413452,
+      "epoch": 2.539353769676885,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046242613991144814,
+      "loss": 5.5444,
+      "mean_token_accuracy": 0.1609214127063751,
+      "num_tokens": 5584785.0,
+      "step": 3065
+    },
+    {
+      "entropy": 5.585511493682861,
+      "epoch": 2.5434962717481358,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046224915155689586,
+      "loss": 5.478,
+      "mean_token_accuracy": 0.16044741719961167,
+      "num_tokens": 5594583.0,
+      "step": 3070
+    },
+    {
+      "entropy": 5.638197040557861,
+      "epoch": 2.547638773819387,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046207178550034244,
+      "loss": 5.4306,
+      "mean_token_accuracy": 0.1608849883079529,
+      "num_tokens": 5603498.0,
+      "step": 3075
+    },
+    {
+      "entropy": 5.7161966323852536,
+      "epoch": 2.551781275890638,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004618940420995547,
+      "loss": 5.5685,
+      "mean_token_accuracy": 0.15440558269619942,
+      "num_tokens": 5613101.0,
+      "step": 3080
+    },
+    {
+      "entropy": 5.665849494934082,
+      "epoch": 2.555923777961889,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004617159217130606,
+      "loss": 5.5409,
+      "mean_token_accuracy": 0.1569191187620163,
+      "num_tokens": 5621821.0,
+      "step": 3085
+    },
+    {
+      "entropy": 5.711861181259155,
+      "epoch": 2.5600662800331397,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004615374247001483,
+      "loss": 5.5738,
+      "mean_token_accuracy": 0.15701586306095122,
+      "num_tokens": 5631006.0,
+      "step": 3090
+    },
+    {
+      "entropy": 5.674423551559448,
+      "epoch": 2.564208782104391,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004613585514208659,
+      "loss": 5.5295,
+      "mean_token_accuracy": 0.15232180580496787,
+      "num_tokens": 5640159.0,
+      "step": 3095
+    },
+    {
+      "entropy": 5.592060613632202,
+      "epoch": 2.568351284175642,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046117930223602016,
+      "loss": 5.4003,
+      "mean_token_accuracy": 0.1694741129875183,
+      "num_tokens": 5648369.0,
+      "step": 3100
+    },
+    {
+      "entropy": 5.5982965469360355,
+      "epoch": 2.572493786246893,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004609996775071765,
+      "loss": 5.459,
+      "mean_token_accuracy": 0.1591326355934143,
+      "num_tokens": 5657669.0,
+      "step": 3105
+    },
+    {
+      "entropy": 5.56780686378479,
+      "epoch": 2.576636288318144,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004608196775966575,
+      "loss": 5.5319,
+      "mean_token_accuracy": 0.1610974356532097,
+      "num_tokens": 5666601.0,
+      "step": 3110
+    },
+    {
+      "entropy": 5.639773225784301,
+      "epoch": 2.5807787903893953,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046063930286754267,
+      "loss": 5.4465,
+      "mean_token_accuracy": 0.16618527621030807,
+      "num_tokens": 5675243.0,
+      "step": 3115
+    },
+    {
+      "entropy": 5.56855001449585,
+      "epoch": 2.5849212924606464,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00046045855368366756,
+      "loss": 5.466,
+      "mean_token_accuracy": 0.1630399063229561,
+      "num_tokens": 5683646.0,
+      "step": 3120
+    },
+    {
+      "entropy": 5.682586193084717,
+      "epoch": 2.5890637945318975,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.000460277430409623,
+      "loss": 5.5129,
+      "mean_token_accuracy": 0.17162407487630843,
+      "num_tokens": 5693069.0,
+      "step": 3125
+    },
+    {
+      "entropy": 5.587219524383545,
+      "epoch": 2.593206296603148,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046009593341075444,
+      "loss": 5.3754,
+      "mean_token_accuracy": 0.16499391198158264,
+      "num_tokens": 5701527.0,
+      "step": 3130
+    },
+    {
+      "entropy": 5.561956834793091,
+      "epoch": 2.5973487986743993,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004599140630531612,
+      "loss": 5.5403,
+      "mean_token_accuracy": 0.15682477951049806,
+      "num_tokens": 5710379.0,
+      "step": 3135
+    },
+    {
+      "entropy": 5.69692587852478,
+      "epoch": 2.6014913007456504,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004597318197036956,
+      "loss": 5.4524,
+      "mean_token_accuracy": 0.1643553927540779,
+      "num_tokens": 5719217.0,
+      "step": 3140
+    },
+    {
+      "entropy": 5.629226970672607,
+      "epoch": 2.6056338028169015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004595492037299624,
+      "loss": 5.5535,
+      "mean_token_accuracy": 0.16214104294776915,
+      "num_tokens": 5728331.0,
+      "step": 3145
+    },
+    {
+      "entropy": 5.608061027526856,
+      "epoch": 2.6097763048881526,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045936621550031806,
+      "loss": 5.5107,
+      "mean_token_accuracy": 0.16073764860630035,
+      "num_tokens": 5737696.0,
+      "step": 3150
+    },
+    {
+      "entropy": 5.731885099411011,
+      "epoch": 2.6139188069594033,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045918285538386973,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.16164542436599733,
+      "num_tokens": 5746191.0,
+      "step": 3155
+    },
+    {
+      "entropy": 5.703127813339234,
+      "epoch": 2.6180613090306544,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00045899912375047485,
+      "loss": 5.5619,
+      "mean_token_accuracy": 0.1629435494542122,
+      "num_tokens": 5754824.0,
+      "step": 3160
+    },
+    {
+      "entropy": 5.638229656219482,
+      "epoch": 2.6222038111019055,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045881502097074023,
+      "loss": 5.537,
+      "mean_token_accuracy": 0.1518124133348465,
+      "num_tokens": 5764863.0,
+      "step": 3165
+    },
+    {
+      "entropy": 5.614318180084228,
+      "epoch": 2.6263463131731566,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004586305474160212,
+      "loss": 5.5459,
+      "mean_token_accuracy": 0.15642993301153182,
+      "num_tokens": 5774273.0,
+      "step": 3170
+    },
+    {
+      "entropy": 5.666326427459717,
+      "epoch": 2.6304888152444077,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045844570345842116,
+      "loss": 5.5044,
+      "mean_token_accuracy": 0.16042826995253562,
+      "num_tokens": 5784085.0,
+      "step": 3175
+    },
+    {
+      "entropy": 5.659371709823608,
+      "epoch": 2.634631317315659,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004582604894707906,
+      "loss": 5.5336,
+      "mean_token_accuracy": 0.16884370446205138,
+      "num_tokens": 5793921.0,
+      "step": 3180
+    },
+    {
+      "entropy": 5.664378356933594,
+      "epoch": 2.63877381938691,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00045807490582672634,
+      "loss": 5.4972,
+      "mean_token_accuracy": 0.15294444859027861,
+      "num_tokens": 5803902.0,
+      "step": 3185
+    },
+    {
+      "entropy": 5.542481708526611,
+      "epoch": 2.6429163214581606,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00045788895290057083,
+      "loss": 5.4129,
+      "mean_token_accuracy": 0.16788192689418793,
+      "num_tokens": 5812089.0,
+      "step": 3190
+    },
+    {
+      "entropy": 5.6802209377288815,
+      "epoch": 2.6470588235294117,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00045770263106741137,
+      "loss": 5.5784,
+      "mean_token_accuracy": 0.1578851893544197,
+      "num_tokens": 5821072.0,
+      "step": 3195
+    },
+    {
+      "entropy": 5.628516340255738,
+      "epoch": 2.651201325600663,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004575159407030797,
+      "loss": 5.4029,
+      "mean_token_accuracy": 0.16388181746006011,
+      "num_tokens": 5829725.0,
+      "step": 3200
+    },
+    {
+      "entropy": 5.500157403945923,
+      "epoch": 2.655343827671914,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004573288821841505,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16496249735355378,
+      "num_tokens": 5838153.0,
+      "step": 3205
+    },
+    {
+      "entropy": 5.616616106033325,
+      "epoch": 2.659486329743165,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004571414558879413,
+      "loss": 5.4409,
+      "mean_token_accuracy": 0.15448423773050307,
+      "num_tokens": 5847270.0,
+      "step": 3210
+    },
+    {
+      "entropy": 5.6490891456604,
+      "epoch": 2.6636288318144157,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004569536621925114,
+      "loss": 5.5472,
+      "mean_token_accuracy": 0.15474478006362916,
+      "num_tokens": 5855954.0,
+      "step": 3215
+    },
+    {
+      "entropy": 5.634416961669922,
+      "epoch": 2.667771333885667,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004567655014766612,
+      "loss": 5.4529,
+      "mean_token_accuracy": 0.16163208782672883,
+      "num_tokens": 5864435.0,
+      "step": 3220
+    },
+    {
+      "entropy": 5.624909925460815,
+      "epoch": 2.671913835956918,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004565769741199314,
+      "loss": 5.5135,
+      "mean_token_accuracy": 0.1572384186089039,
+      "num_tokens": 5873964.0,
+      "step": 3225
+    },
+    {
+      "entropy": 5.727962255477905,
+      "epoch": 2.676056338028169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045638808050260237,
+      "loss": 5.4648,
+      "mean_token_accuracy": 0.16628578454256057,
+      "num_tokens": 5882738.0,
+      "step": 3230
+    },
+    {
+      "entropy": 5.587652635574341,
+      "epoch": 2.68019884009942,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00045619882100569317,
+      "loss": 5.5925,
+      "mean_token_accuracy": 0.15854242593050002,
+      "num_tokens": 5891749.0,
+      "step": 3235
+    },
+    {
+      "entropy": 5.627515649795532,
+      "epoch": 2.684341342170671,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004560091960109608,
+      "loss": 5.5372,
+      "mean_token_accuracy": 0.15811603218317033,
+      "num_tokens": 5900551.0,
+      "step": 3240
+    },
+    {
+      "entropy": 5.661735343933105,
+      "epoch": 2.6884838442419223,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004558192059008996,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.1517203629016876,
+      "num_tokens": 5909254.0,
+      "step": 3245
+    },
+    {
+      "entropy": 5.599635648727417,
+      "epoch": 2.692626346313173,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004556288510587406,
+      "loss": 5.4987,
+      "mean_token_accuracy": 0.15817683488130568,
+      "num_tokens": 5918357.0,
+      "step": 3250
+    },
+    {
+      "entropy": 5.662895679473877,
+      "epoch": 2.696768848384424,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00045543813186845004,
+      "loss": 5.5021,
+      "mean_token_accuracy": 0.15579704195261002,
+      "num_tokens": 5927742.0,
+      "step": 3255
+    },
+    {
+      "entropy": 5.627440690994263,
+      "epoch": 2.700911350455675,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004552470487147294,
+      "loss": 5.5823,
+      "mean_token_accuracy": 0.1556493915617466,
+      "num_tokens": 5937025.0,
+      "step": 3260
+    },
+    {
+      "entropy": 5.70678014755249,
+      "epoch": 2.7050538525269263,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045505560198301443,
+      "loss": 5.5615,
+      "mean_token_accuracy": 0.15135139375925064,
+      "num_tokens": 5946176.0,
+      "step": 3265
+    },
+    {
+      "entropy": 5.659924745559692,
+      "epoch": 2.7091963545981774,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045486379205947396,
+      "loss": 5.5233,
+      "mean_token_accuracy": 0.1584411159157753,
+      "num_tokens": 5955550.0,
+      "step": 3270
+    },
+    {
+      "entropy": 5.594695281982422,
+      "epoch": 2.713338856669428,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004546716193310098,
+      "loss": 5.4541,
+      "mean_token_accuracy": 0.1651945412158966,
+      "num_tokens": 5964467.0,
+      "step": 3275
+    },
+    {
+      "entropy": 5.605531787872314,
+      "epoch": 2.717481358740679,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000454479084185255,
+      "loss": 5.4855,
+      "mean_token_accuracy": 0.1514287754893303,
+      "num_tokens": 5973906.0,
+      "step": 3280
+    },
+    {
+      "entropy": 5.696796035766601,
+      "epoch": 2.7216238608119303,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004542861870105743,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.15694239139556884,
+      "num_tokens": 5983701.0,
+      "step": 3285
+    },
+    {
+      "entropy": 5.623150444030761,
+      "epoch": 2.7257663628831814,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045409292819606224,
+      "loss": 5.4971,
+      "mean_token_accuracy": 0.16068210303783417,
+      "num_tokens": 5993367.0,
+      "step": 3290
+    },
+    {
+      "entropy": 5.646857404708863,
+      "epoch": 2.7299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045389930813154297,
+      "loss": 5.4519,
+      "mean_token_accuracy": 0.16334805637598038,
+      "num_tokens": 6003752.0,
+      "step": 3295
+    },
+    {
+      "entropy": 5.675233459472656,
+      "epoch": 2.7340513670256836,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004537053272075693,
+      "loss": 5.5263,
+      "mean_token_accuracy": 0.1621565416455269,
+      "num_tokens": 6012486.0,
+      "step": 3300
+    },
+    {
+      "entropy": 5.5136041164398195,
+      "epoch": 2.7381938690969347,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045351098581542204,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.163838130235672,
+      "num_tokens": 6020742.0,
+      "step": 3305
+    },
+    {
+      "entropy": 5.646917295455933,
+      "epoch": 2.742336371168186,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004533162843471089,
+      "loss": 5.5009,
+      "mean_token_accuracy": 0.15474170595407485,
+      "num_tokens": 6030248.0,
+      "step": 3310
+    },
+    {
+      "entropy": 5.632185411453247,
+      "epoch": 2.7464788732394365,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004531212231953641,
+      "loss": 5.5436,
+      "mean_token_accuracy": 0.15157791674137117,
+      "num_tokens": 6039293.0,
+      "step": 3315
+    },
+    {
+      "entropy": 5.587828540802002,
+      "epoch": 2.7506213753106876,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004529258027536473,
+      "loss": 5.4134,
+      "mean_token_accuracy": 0.16378402560949326,
+      "num_tokens": 6048081.0,
+      "step": 3320
+    },
+    {
+      "entropy": 5.673684549331665,
+      "epoch": 2.7547638773819387,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004527300234161428,
+      "loss": 5.5753,
+      "mean_token_accuracy": 0.15969255268573762,
+      "num_tokens": 6057549.0,
+      "step": 3325
+    },
+    {
+      "entropy": 5.646554040908813,
+      "epoch": 2.75890637945319,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004525338855777591,
+      "loss": 5.5589,
+      "mean_token_accuracy": 0.15469738617539405,
+      "num_tokens": 6067372.0,
+      "step": 3330
+    },
+    {
+      "entropy": 5.595069122314453,
+      "epoch": 2.7630488815244405,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045233738963412746,
+      "loss": 5.4181,
+      "mean_token_accuracy": 0.1717814713716507,
+      "num_tokens": 6075532.0,
+      "step": 3335
+    },
+    {
+      "entropy": 5.5924467086792,
+      "epoch": 2.7671913835956916,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045214053598160173,
+      "loss": 5.4439,
+      "mean_token_accuracy": 0.16404369622468948,
+      "num_tokens": 6084389.0,
+      "step": 3340
+    },
+    {
+      "entropy": 5.598109579086303,
+      "epoch": 2.7713338856669427,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045194332501725725,
+      "loss": 5.4706,
+      "mean_token_accuracy": 0.16428767740726472,
+      "num_tokens": 6093536.0,
+      "step": 3345
+    },
+    {
+      "entropy": 5.637304496765137,
+      "epoch": 2.775476387738194,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00045174575713889014,
+      "loss": 5.5167,
+      "mean_token_accuracy": 0.16573925465345382,
+      "num_tokens": 6102677.0,
+      "step": 3350
+    },
+    {
+      "entropy": 5.677533674240112,
+      "epoch": 2.779618889809445,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004515478327450164,
+      "loss": 5.5926,
+      "mean_token_accuracy": 0.156404609978199,
+      "num_tokens": 6112430.0,
+      "step": 3355
+    },
+    {
+      "entropy": 5.643227863311767,
+      "epoch": 2.783761391880696,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00045134955223487093,
+      "loss": 5.4889,
+      "mean_token_accuracy": 0.16630716919898986,
+      "num_tokens": 6121408.0,
+      "step": 3360
+    },
+    {
+      "entropy": 5.57972674369812,
+      "epoch": 2.787903893951947,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00045115091600840757,
+      "loss": 5.5188,
+      "mean_token_accuracy": 0.15800442099571227,
+      "num_tokens": 6131339.0,
+      "step": 3365
+    },
+    {
+      "entropy": 5.624274778366089,
+      "epoch": 2.7920463960231983,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00045095192446629697,
+      "loss": 5.4816,
+      "mean_token_accuracy": 0.16174803227186202,
+      "num_tokens": 6140590.0,
+      "step": 3370
+    },
+    {
+      "entropy": 5.704814815521241,
+      "epoch": 2.796188898094449,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000450752578009927,
+      "loss": 5.5621,
+      "mean_token_accuracy": 0.1653067871928215,
+      "num_tokens": 6149958.0,
+      "step": 3375
+    },
+    {
+      "entropy": 5.58657054901123,
+      "epoch": 2.8003314001657,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045055287704140115,
+      "loss": 5.4346,
+      "mean_token_accuracy": 0.15949429720640182,
+      "num_tokens": 6159411.0,
+      "step": 3380
+    },
+    {
+      "entropy": 5.595387983322143,
+      "epoch": 2.804473902236951,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004503528219635381,
+      "loss": 5.5138,
+      "mean_token_accuracy": 0.1545591250061989,
+      "num_tokens": 6169264.0,
+      "step": 3385
+    },
+    {
+      "entropy": 5.617677021026611,
+      "epoch": 2.8086164043082023,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004501524131798709,
+      "loss": 5.4826,
+      "mean_token_accuracy": 0.16332829892635345,
+      "num_tokens": 6178374.0,
+      "step": 3390
+    },
+    {
+      "entropy": 5.7183191776275635,
+      "epoch": 2.812758906379453,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000449951651094646,
+      "loss": 5.4697,
+      "mean_token_accuracy": 0.15537519603967667,
+      "num_tokens": 6186918.0,
+      "step": 3395
+    },
+    {
+      "entropy": 5.566522169113159,
+      "epoch": 2.816901408450704,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044975053611282217,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.1613329365849495,
+      "num_tokens": 6196400.0,
+      "step": 3400
+    },
+    {
+      "entropy": 5.514105558395386,
+      "epoch": 2.821043910521955,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004495490686400706,
+      "loss": 5.3941,
+      "mean_token_accuracy": 0.1649619847536087,
+      "num_tokens": 6204849.0,
+      "step": 3405
+    },
+    {
+      "entropy": 5.615210485458374,
+      "epoch": 2.8251864125932062,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00044934724908277313,
+      "loss": 5.4834,
+      "mean_token_accuracy": 0.16362717300653457,
+      "num_tokens": 6214121.0,
+      "step": 3410
+    },
+    {
+      "entropy": 5.654720067977905,
+      "epoch": 2.8293289146644574,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044914507784802184,
+      "loss": 5.4835,
+      "mean_token_accuracy": 0.16509974151849746,
+      "num_tokens": 6223163.0,
+      "step": 3415
+    },
+    {
+      "entropy": 5.641624307632446,
+      "epoch": 2.8334714167357085,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004489425553436182,
+      "loss": 5.5084,
+      "mean_token_accuracy": 0.15882937759160995,
+      "num_tokens": 6231581.0,
+      "step": 3420
+    },
+    {
+      "entropy": 5.659383153915405,
+      "epoch": 2.8376139188069596,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00044873968197807213,
+      "loss": 5.5838,
+      "mean_token_accuracy": 0.1599879801273346,
+      "num_tokens": 6240015.0,
+      "step": 3425
+    },
+    {
+      "entropy": 5.666435050964355,
+      "epoch": 2.8417564208782107,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044853645816060156,
+      "loss": 5.5979,
+      "mean_token_accuracy": 0.1532062940299511,
+      "num_tokens": 6249083.0,
+      "step": 3430
+    },
+    {
+      "entropy": 5.6627098560333256,
+      "epoch": 2.8458989229494613,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00044833288430113104,
+      "loss": 5.5496,
+      "mean_token_accuracy": 0.1654196172952652,
+      "num_tokens": 6258798.0,
+      "step": 3435
+    },
+    {
+      "entropy": 5.609176588058472,
+      "epoch": 2.8500414250207124,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00044812896081029136,
+      "loss": 5.4023,
+      "mean_token_accuracy": 0.16617698073387147,
+      "num_tokens": 6267819.0,
+      "step": 3440
+    },
+    {
+      "entropy": 5.626215600967408,
+      "epoch": 2.8541839270919636,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004479246880994183,
+      "loss": 5.4804,
+      "mean_token_accuracy": 0.15876610353589057,
+      "num_tokens": 6276915.0,
+      "step": 3445
+    },
+    {
+      "entropy": 5.627827167510986,
+      "epoch": 2.8583264291632147,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004477200665805525,
+      "loss": 5.5216,
+      "mean_token_accuracy": 0.15861138105392455,
+      "num_tokens": 6285880.0,
+      "step": 3450
+    },
+    {
+      "entropy": 5.6323963642120365,
+      "epoch": 2.8624689312344658,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00044751509666643777,
+      "loss": 5.6351,
+      "mean_token_accuracy": 0.14970673844218255,
+      "num_tokens": 6295408.0,
+      "step": 3455
+    },
+    {
+      "entropy": 5.6166990280151365,
+      "epoch": 2.8666114333057164,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044730977877052084,
+      "loss": 5.3753,
+      "mean_token_accuracy": 0.16562075018882752,
+      "num_tokens": 6304110.0,
+      "step": 3460
+    },
+    {
+      "entropy": 5.669659185409546,
+      "epoch": 2.8707539353769675,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00044710411330695045,
+      "loss": 5.5254,
+      "mean_token_accuracy": 0.15842530727386475,
+      "num_tokens": 6312577.0,
+      "step": 3465
+    },
+    {
+      "entropy": 5.738371801376343,
+      "epoch": 2.8748964374482187,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00044689810069057615,
+      "loss": 5.606,
+      "mean_token_accuracy": 0.15023296922445298,
+      "num_tokens": 6321766.0,
+      "step": 3470
+    },
+    {
+      "entropy": 5.642851161956787,
+      "epoch": 2.8790389395194698,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004466917413369479,
+      "loss": 5.5731,
+      "mean_token_accuracy": 0.151870658993721,
+      "num_tokens": 6330327.0,
+      "step": 3475
+    },
+    {
+      "entropy": 5.577242517471314,
+      "epoch": 2.883181441590721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004464850356623152,
+      "loss": 5.4926,
+      "mean_token_accuracy": 0.16011006087064744,
+      "num_tokens": 6339596.0,
+      "step": 3480
+    },
+    {
+      "entropy": 5.613158226013184,
+      "epoch": 2.887323943661972,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00044627798408362597,
+      "loss": 5.3986,
+      "mean_token_accuracy": 0.1670537531375885,
+      "num_tokens": 6348080.0,
+      "step": 3485
+    },
+    {
+      "entropy": 5.613135099411011,
+      "epoch": 2.891466445733223,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004460705870185258,
+      "loss": 5.5277,
+      "mean_token_accuracy": 0.15435466170310974,
+      "num_tokens": 6357725.0,
+      "step": 3490
+    },
+    {
+      "entropy": 5.627930736541748,
+      "epoch": 2.8956089478044738,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004458628448853572,
+      "loss": 5.4831,
+      "mean_token_accuracy": 0.16073092967271804,
+      "num_tokens": 6366821.0,
+      "step": 3495
+    },
+    {
+      "entropy": 5.729347085952758,
+      "epoch": 2.899751449875725,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004456547581031589,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.15560299083590506,
+      "num_tokens": 6375641.0,
+      "step": 3500
+    },
+    {
+      "epoch": 2.899751449875725,
+      "eval_entropy": 5.414937326394673,
+      "eval_loss": 5.899942874908447,
+      "eval_mean_token_accuracy": 0.15183768343569629,
+      "eval_num_tokens": 6375641.0,
+      "eval_runtime": 2.9583,
+      "eval_samples_per_second": 1266.605,
+      "eval_steps_per_second": 158.537,
+      "step": 3500
+    },
+    {
+      "entropy": 5.548971128463745,
+      "epoch": 2.903893951946976,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004454463270916646,
+      "loss": 5.404,
+      "mean_token_accuracy": 0.1680065542459488,
+      "num_tokens": 6384596.0,
+      "step": 3505
+    },
+    {
+      "entropy": 5.719941425323486,
+      "epoch": 2.908036454018227,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004452375522713023,
+      "loss": 5.7474,
+      "mean_token_accuracy": 0.14030246064066887,
+      "num_tokens": 6395048.0,
+      "step": 3510
+    },
+    {
+      "entropy": 5.643452119827271,
+      "epoch": 2.912178956089478,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004450284340631938,
+      "loss": 5.5762,
+      "mean_token_accuracy": 0.15520212948322296,
+      "num_tokens": 6404828.0,
+      "step": 3515
+    },
+    {
+      "entropy": 5.627139854431152,
+      "epoch": 2.916321458160729,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044481897288915334,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.16042221039533616,
+      "num_tokens": 6414670.0,
+      "step": 3520
+    },
+    {
+      "entropy": 5.474701166152954,
+      "epoch": 2.92046396023198,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044460916917168697,
+      "loss": 5.3896,
+      "mean_token_accuracy": 0.16453512459993364,
+      "num_tokens": 6423446.0,
+      "step": 3525
+    },
+    {
+      "entropy": 5.5396312236785885,
+      "epoch": 2.924606462303231,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004443990233339918,
+      "loss": 5.4655,
+      "mean_token_accuracy": 0.1552535504102707,
+      "num_tokens": 6433412.0,
+      "step": 3530
+    },
+    {
+      "entropy": 5.652051544189453,
+      "epoch": 2.928748964374482,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004441885357999548,
+      "loss": 5.444,
+      "mean_token_accuracy": 0.1643453508615494,
+      "num_tokens": 6443520.0,
+      "step": 3535
+    },
+    {
+      "entropy": 5.674185514450073,
+      "epoch": 2.9328914664457333,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004439777069941524,
+      "loss": 5.5527,
+      "mean_token_accuracy": 0.15431721061468123,
+      "num_tokens": 6452933.0,
+      "step": 3540
+    },
+    {
+      "entropy": 5.550513553619385,
+      "epoch": 2.9370339685169844,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044376653734184935,
+      "loss": 5.3908,
+      "mean_token_accuracy": 0.16788479536771775,
+      "num_tokens": 6462113.0,
+      "step": 3545
+    },
+    {
+      "entropy": 5.468146800994873,
+      "epoch": 2.9411764705882355,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004435550272689979,
+      "loss": 5.4246,
+      "mean_token_accuracy": 0.16583772748708725,
+      "num_tokens": 6471411.0,
+      "step": 3550
+    },
+    {
+      "entropy": 5.662385082244873,
+      "epoch": 2.945318972659486,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00044334317720223706,
+      "loss": 5.532,
+      "mean_token_accuracy": 0.1599032275378704,
+      "num_tokens": 6480682.0,
+      "step": 3555
+    },
+    {
+      "entropy": 5.678339672088623,
+      "epoch": 2.9494614747307373,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00044313098756889154,
+      "loss": 5.5754,
+      "mean_token_accuracy": 0.15587076246738435,
+      "num_tokens": 6490614.0,
+      "step": 3560
+    },
+    {
+      "entropy": 5.585533094406128,
+      "epoch": 2.9536039768019884,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004429184587969708,
+      "loss": 5.4273,
+      "mean_token_accuracy": 0.16405707746744155,
+      "num_tokens": 6499079.0,
+      "step": 3565
+    },
+    {
+      "entropy": 5.668995666503906,
+      "epoch": 2.9577464788732395,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004427055913151689,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.14727827310562133,
+      "num_tokens": 6508556.0,
+      "step": 3570
+    },
+    {
+      "entropy": 5.70610499382019,
+      "epoch": 2.9618889809444906,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004424923855528626,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.15901169627904893,
+      "num_tokens": 6517934.0,
+      "step": 3575
+    },
+    {
+      "entropy": 5.614701509475708,
+      "epoch": 2.9660314830157413,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004422788419401114,
+      "loss": 5.4321,
+      "mean_token_accuracy": 0.1702651560306549,
+      "num_tokens": 6526995.0,
+      "step": 3580
+    },
+    {
+      "entropy": 5.572284936904907,
+      "epoch": 2.9701739850869924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00044206496090765595,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1573972523212433,
+      "num_tokens": 6535264.0,
+      "step": 3585
+    },
+    {
+      "entropy": 5.610080623626709,
+      "epoch": 2.9743164871582435,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00044185074288691776,
+      "loss": 5.3994,
+      "mean_token_accuracy": 0.1746336281299591,
+      "num_tokens": 6544498.0,
+      "step": 3590
+    },
+    {
+      "entropy": 5.582769393920898,
+      "epoch": 2.9784589892294946,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044163618830999794,
+      "loss": 5.5098,
+      "mean_token_accuracy": 0.16030704230070114,
+      "num_tokens": 6554761.0,
+      "step": 3595
+    },
+    {
+      "entropy": 5.603819417953491,
+      "epoch": 2.9826014913007457,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044142129760967643,
+      "loss": 5.5614,
+      "mean_token_accuracy": 0.15714355707168579,
+      "num_tokens": 6564039.0,
+      "step": 3600
+    },
+    {
+      "entropy": 5.679829835891724,
+      "epoch": 2.986743993371997,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004412060712194115,
+      "loss": 5.5068,
+      "mean_token_accuracy": 0.15993095487356185,
+      "num_tokens": 6572559.0,
+      "step": 3605
+    },
+    {
+      "entropy": 5.589264869689941,
+      "epoch": 2.990886495443248,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004409905095733381,
+      "loss": 5.4931,
+      "mean_token_accuracy": 0.1612076446413994,
+      "num_tokens": 6581621.0,
+      "step": 3610
+    },
+    {
+      "entropy": 5.550649166107178,
+      "epoch": 2.995028997514499,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00044077461310626764,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.15403861105442046,
+      "num_tokens": 6590353.0,
+      "step": 3615
+    },
+    {
+      "entropy": 5.64892258644104,
+      "epoch": 2.9991714995857497,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000440558382253687,
+      "loss": 5.4575,
+      "mean_token_accuracy": 0.16497674435377122,
+      "num_tokens": 6598822.0,
+      "step": 3620
+    },
+    {
+      "entropy": 5.5967165470123295,
+      "epoch": 3.003314001657001,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004403418174517573,
+      "loss": 5.2529,
+      "mean_token_accuracy": 0.16683556884527206,
+      "num_tokens": 6606728.0,
+      "step": 3625
+    },
+    {
+      "entropy": 5.599476623535156,
+      "epoch": 3.007456503728252,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044012491913731353,
+      "loss": 5.1756,
+      "mean_token_accuracy": 0.1743481546640396,
+      "num_tokens": 6616226.0,
+      "step": 3630
+    },
+    {
+      "entropy": 5.5095573425292965,
+      "epoch": 3.011599005799503,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004399076877478632,
+      "loss": 5.0266,
+      "mean_token_accuracy": 0.1868550017476082,
+      "num_tokens": 6624801.0,
+      "step": 3635
+    },
+    {
+      "entropy": 5.60879430770874,
+      "epoch": 3.015741507870754,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004396901237215858,
+      "loss": 5.2209,
+      "mean_token_accuracy": 0.16688485741615294,
+      "num_tokens": 6633043.0,
+      "step": 3640
+    },
+    {
+      "entropy": 5.538025426864624,
+      "epoch": 3.019884009942005,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043947222749733173,
+      "loss": 5.1692,
+      "mean_token_accuracy": 0.17499702274799347,
+      "num_tokens": 6641197.0,
+      "step": 3645
+    },
+    {
+      "entropy": 5.586767101287842,
+      "epoch": 3.024026512013256,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043925399951462153,
+      "loss": 5.2064,
+      "mean_token_accuracy": 0.1801098555326462,
+      "num_tokens": 6650411.0,
+      "step": 3650
+    },
+    {
+      "entropy": 5.4191618919372555,
+      "epoch": 3.028169014084507,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004390354402136449,
+      "loss": 5.0903,
+      "mean_token_accuracy": 0.17804521024227143,
+      "num_tokens": 6659405.0,
+      "step": 3655
+    },
+    {
+      "entropy": 5.583788824081421,
+      "epoch": 3.032311516155758,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0004388165500352597,
+      "loss": 5.1642,
+      "mean_token_accuracy": 0.17557908743619918,
+      "num_tokens": 6667701.0,
+      "step": 3660
+    },
+    {
+      "entropy": 5.614604902267456,
+      "epoch": 3.036454018227009,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004385973294209915,
+      "loss": 5.1881,
+      "mean_token_accuracy": 0.17808027267456056,
+      "num_tokens": 6676801.0,
+      "step": 3665
+    },
+    {
+      "entropy": 5.457578706741333,
+      "epoch": 3.0405965202982603,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004383777788130321,
+      "loss": 5.083,
+      "mean_token_accuracy": 0.17836775481700898,
+      "num_tokens": 6686005.0,
+      "step": 3670
+    },
+    {
+      "entropy": 5.479088068008423,
+      "epoch": 3.044739022369511,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004381578986542393,
+      "loss": 5.0937,
+      "mean_token_accuracy": 0.17960153371095658,
+      "num_tokens": 6694884.0,
+      "step": 3675
+    },
+    {
+      "entropy": 5.501745700836182,
+      "epoch": 3.048881524440762,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004379376893881352,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.17827630788087845,
+      "num_tokens": 6703476.0,
+      "step": 3680
+    },
+    {
+      "entropy": 5.616245269775391,
+      "epoch": 3.053024026512013,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004377171514589059,
+      "loss": 5.2531,
+      "mean_token_accuracy": 0.1736731931567192,
+      "num_tokens": 6712576.0,
+      "step": 3685
+    },
+    {
+      "entropy": 5.398316955566406,
+      "epoch": 3.0571665285832643,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004374962853114007,
+      "loss": 5.0545,
+      "mean_token_accuracy": 0.18062082678079605,
+      "num_tokens": 6721532.0,
+      "step": 3690
+    },
+    {
+      "entropy": 5.480774354934693,
+      "epoch": 3.0613090306545154,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004372750913911306,
+      "loss": 5.1028,
+      "mean_token_accuracy": 0.18300070911645888,
+      "num_tokens": 6730055.0,
+      "step": 3695
+    },
+    {
+      "entropy": 5.446919918060303,
+      "epoch": 3.0654515327257665,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004370535701442679,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.17969694286584853,
+      "num_tokens": 6739310.0,
+      "step": 3700
+    },
+    {
+      "entropy": 5.54828953742981,
+      "epoch": 3.069594034797017,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043683172201764537,
+      "loss": 5.2581,
+      "mean_token_accuracy": 0.16716694980859756,
+      "num_tokens": 6748976.0,
+      "step": 3705
+    },
+    {
+      "entropy": 5.539231872558593,
+      "epoch": 3.0737365368682683,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004366095474587547,
+      "loss": 5.1044,
+      "mean_token_accuracy": 0.17598106861114501,
+      "num_tokens": 6758043.0,
+      "step": 3710
+    },
+    {
+      "entropy": 5.500854778289795,
+      "epoch": 3.0778790389395194,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00043638704691574646,
+      "loss": 5.163,
+      "mean_token_accuracy": 0.1786232903599739,
+      "num_tokens": 6767554.0,
+      "step": 3715
+    },
+    {
+      "entropy": 5.560473966598511,
+      "epoch": 3.0820215410107705,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004361642208374283,
+      "loss": 5.1882,
+      "mean_token_accuracy": 0.1666739672422409,
+      "num_tokens": 6776161.0,
+      "step": 3720
+    },
+    {
+      "entropy": 5.476630401611328,
+      "epoch": 3.0861640430820216,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043594106967326495,
+      "loss": 5.1169,
+      "mean_token_accuracy": 0.17555084377527236,
+      "num_tokens": 6785371.0,
+      "step": 3725
+    },
+    {
+      "entropy": 5.494755983352661,
+      "epoch": 3.0903065451532727,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00043571759387337665,
+      "loss": 5.1456,
+      "mean_token_accuracy": 0.1808715656399727,
+      "num_tokens": 6795242.0,
+      "step": 3730
+    },
+    {
+      "entropy": 5.591760492324829,
+      "epoch": 3.0944490472245234,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004354937938885385,
+      "loss": 5.2235,
+      "mean_token_accuracy": 0.17338325083255768,
+      "num_tokens": 6805423.0,
+      "step": 3735
+    },
+    {
+      "entropy": 5.464981889724731,
+      "epoch": 3.0985915492957745,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004352696701701796,
+      "loss": 5.1469,
+      "mean_token_accuracy": 0.17880967408418655,
+      "num_tokens": 6814377.0,
+      "step": 3740
+    },
+    {
+      "entropy": 5.448660278320313,
+      "epoch": 3.1027340513670256,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004350452231703819,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.18132367432117463,
+      "num_tokens": 6824025.0,
+      "step": 3745
+    },
+    {
+      "entropy": 5.550149536132812,
+      "epoch": 3.1068765534382767,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043482045334187954,
+      "loss": 5.1273,
+      "mean_token_accuracy": 0.18649032860994338,
+      "num_tokens": 6833071.0,
+      "step": 3750
+    },
+    {
+      "entropy": 5.442513799667358,
+      "epoch": 3.111019055509528,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043459536113805785,
+      "loss": 5.1076,
+      "mean_token_accuracy": 0.17443138360977173,
+      "num_tokens": 6841983.0,
+      "step": 3755
+    },
+    {
+      "entropy": 5.447629022598266,
+      "epoch": 3.115161557580779,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00043436994701295237,
+      "loss": 5.1043,
+      "mean_token_accuracy": 0.17914267033338546,
+      "num_tokens": 6851436.0,
+      "step": 3760
+    },
+    {
+      "entropy": 5.461205101013183,
+      "epoch": 3.1193040596520296,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00043414421142124804,
+      "loss": 5.1836,
+      "mean_token_accuracy": 0.1672696813941002,
+      "num_tokens": 6861810.0,
+      "step": 3765
+    },
+    {
+      "entropy": 5.478553342819214,
+      "epoch": 3.1234465617232807,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00043391815481827814,
+      "loss": 5.0639,
+      "mean_token_accuracy": 0.18850475996732713,
+      "num_tokens": 6870418.0,
+      "step": 3770
+    },
+    {
+      "entropy": 5.41155161857605,
+      "epoch": 3.127589063794532,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004336917776600237,
+      "loss": 5.0683,
+      "mean_token_accuracy": 0.18221812546253205,
+      "num_tokens": 6879419.0,
+      "step": 3775
+    },
+    {
+      "entropy": 5.435874891281128,
+      "epoch": 3.131731565865783,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004334650804031122,
+      "loss": 5.1852,
+      "mean_token_accuracy": 0.17172302156686783,
+      "num_tokens": 6888768.0,
+      "step": 3780
+    },
+    {
+      "entropy": 5.507850646972656,
+      "epoch": 3.135874067937034,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004332380635048165,
+      "loss": 5.1296,
+      "mean_token_accuracy": 0.17900288552045823,
+      "num_tokens": 6897133.0,
+      "step": 3785
+    },
+    {
+      "entropy": 5.485491752624512,
+      "epoch": 3.140016570008285,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00043301072742305474,
+      "loss": 5.1773,
+      "mean_token_accuracy": 0.17168077528476716,
+      "num_tokens": 6904976.0,
+      "step": 3790
+    },
+    {
+      "entropy": 5.537312364578247,
+      "epoch": 3.1441590720795363,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0004327830726163886,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.17883574068546296,
+      "num_tokens": 6915138.0,
+      "step": 3795
+    },
+    {
+      "entropy": 5.548703718185425,
+      "epoch": 3.148301574150787,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0004325550995440226,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.1752033144235611,
+      "num_tokens": 6923962.0,
+      "step": 3800
+    },
+    {
+      "entropy": 5.386642169952393,
+      "epoch": 3.152444076222038,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043232680866580356,
+      "loss": 5.1478,
+      "mean_token_accuracy": 0.17952724993228913,
+      "num_tokens": 6932102.0,
+      "step": 3805
+    },
+    {
+      "entropy": 5.464086627960205,
+      "epoch": 3.156586578293289,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00043209820044221893,
+      "loss": 5.153,
+      "mean_token_accuracy": 0.1785269558429718,
+      "num_tokens": 6940354.0,
+      "step": 3810
+    },
+    {
+      "entropy": 5.4963922023773195,
+      "epoch": 3.1607290803645403,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00043186927533439654,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.1716633692383766,
+      "num_tokens": 6949779.0,
+      "step": 3815
+    },
+    {
+      "entropy": 5.536400413513183,
+      "epoch": 3.1648715824357914,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043164003380410335,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.17445194274187087,
+      "num_tokens": 6958760.0,
+      "step": 3820
+    },
+    {
+      "entropy": 5.486375331878662,
+      "epoch": 3.169014084507042,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004314104763137445,
+      "loss": 5.1037,
+      "mean_token_accuracy": 0.18134674280881882,
+      "num_tokens": 6967535.0,
+      "step": 3825
+    },
+    {
+      "entropy": 5.469356393814087,
+      "epoch": 3.173156586578293,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043118060332636264,
+      "loss": 5.2036,
+      "mean_token_accuracy": 0.17774708271026612,
+      "num_tokens": 6976211.0,
+      "step": 3830
+    },
+    {
+      "entropy": 5.576221227645874,
+      "epoch": 3.1772990886495442,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043095041530563665,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.17325948774814606,
+      "num_tokens": 6986001.0,
+      "step": 3835
+    },
+    {
+      "entropy": 5.420689487457276,
+      "epoch": 3.1814415907207954,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00043071991271588104,
+      "loss": 5.2006,
+      "mean_token_accuracy": 0.18302187621593474,
+      "num_tokens": 6994568.0,
+      "step": 3840
+    },
+    {
+      "entropy": 5.52434401512146,
+      "epoch": 3.1855840927920465,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004304890960220446,
+      "loss": 5.2921,
+      "mean_token_accuracy": 0.16869494169950486,
+      "num_tokens": 7004744.0,
+      "step": 3845
+    },
+    {
+      "entropy": 5.520354557037353,
+      "epoch": 3.1897265948632976,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043025796568970975,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.1696591019630432,
+      "num_tokens": 7014315.0,
+      "step": 3850
+    },
+    {
+      "entropy": 5.523347425460815,
+      "epoch": 3.1938690969345487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043002652218509184,
+      "loss": 5.1172,
+      "mean_token_accuracy": 0.18450311720371246,
+      "num_tokens": 7022258.0,
+      "step": 3855
+    },
+    {
+      "entropy": 5.522213459014893,
+      "epoch": 3.1980115990057993,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004297947659750376,
+      "loss": 5.2587,
+      "mean_token_accuracy": 0.1674624815583229,
+      "num_tokens": 7031732.0,
+      "step": 3860
+    },
+    {
+      "entropy": 5.467557621002197,
+      "epoch": 3.2021541010770505,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004295626975270246,
+      "loss": 5.1818,
+      "mean_token_accuracy": 0.1766605108976364,
+      "num_tokens": 7040478.0,
+      "step": 3865
+    },
+    {
+      "entropy": 5.490935039520264,
+      "epoch": 3.2062966031483016,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00042933031730916024,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.18396904766559602,
+      "num_tokens": 7049360.0,
+      "step": 3870
+    },
+    {
+      "entropy": 5.5688018798828125,
+      "epoch": 3.2104391052195527,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000429097625790181,
+      "loss": 5.2267,
+      "mean_token_accuracy": 0.17498258501291275,
+      "num_tokens": 7059271.0,
+      "step": 3875
+    },
+    {
+      "entropy": 5.398471450805664,
+      "epoch": 3.2145816072908038,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004288646234394508,
+      "loss": 5.2177,
+      "mean_token_accuracy": 0.17296054661273957,
+      "num_tokens": 7069038.0,
+      "step": 3880
+    },
+    {
+      "entropy": 5.5407984256744385,
+      "epoch": 3.218724109362055,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00042863131072696115,
+      "loss": 5.1617,
+      "mean_token_accuracy": 0.17704827934503556,
+      "num_tokens": 7077971.0,
+      "step": 3885
+    },
+    {
+      "entropy": 5.4559561252594,
+      "epoch": 3.2228666114333056,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00042839768812332905,
+      "loss": 5.1612,
+      "mean_token_accuracy": 0.17406544089317322,
+      "num_tokens": 7086821.0,
+      "step": 3890
+    },
+    {
+      "entropy": 5.419722366333008,
+      "epoch": 3.2270091135045567,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000428163756099797,
+      "loss": 5.1859,
+      "mean_token_accuracy": 0.17225482910871506,
+      "num_tokens": 7095407.0,
+      "step": 3895
+    },
+    {
+      "entropy": 5.48249921798706,
+      "epoch": 3.2311516155758078,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004279295151282314,
+      "loss": 5.1116,
+      "mean_token_accuracy": 0.18240531533956528,
+      "num_tokens": 7103964.0,
+      "step": 3900
+    },
+    {
+      "entropy": 5.564240264892578,
+      "epoch": 3.235294117647059,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004276949656811217,
+      "loss": 5.251,
+      "mean_token_accuracy": 0.17079487890005113,
+      "num_tokens": 7113571.0,
+      "step": 3905
+    },
+    {
+      "entropy": 5.522033739089966,
+      "epoch": 3.23943661971831,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00042746010823158006,
+      "loss": 5.2738,
+      "mean_token_accuracy": 0.17067040055990218,
+      "num_tokens": 7122844.0,
+      "step": 3910
+    },
+    {
+      "entropy": 5.4324219703674315,
+      "epoch": 3.243579121789561,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042722494325333945,
+      "loss": 5.1326,
+      "mean_token_accuracy": 0.176889306306839,
+      "num_tokens": 7132123.0,
+      "step": 3915
+    },
+    {
+      "entropy": 5.458636379241943,
+      "epoch": 3.2477216238608118,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004269894712207533,
+      "loss": 5.1819,
+      "mean_token_accuracy": 0.18051923513412477,
+      "num_tokens": 7141068.0,
+      "step": 3920
+    },
+    {
+      "entropy": 5.43212571144104,
+      "epoch": 3.251864125932063,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004267536926087947,
+      "loss": 5.1925,
+      "mean_token_accuracy": 0.1708641156554222,
+      "num_tokens": 7150829.0,
+      "step": 3925
+    },
+    {
+      "entropy": 5.458031702041626,
+      "epoch": 3.256006628003314,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004265176078930545,
+      "loss": 5.1703,
+      "mean_token_accuracy": 0.17345706522464752,
+      "num_tokens": 7160814.0,
+      "step": 3930
+    },
+    {
+      "entropy": 5.498150825500488,
+      "epoch": 3.260149130074565,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00042628121754974166,
+      "loss": 5.2634,
+      "mean_token_accuracy": 0.17203340232372283,
+      "num_tokens": 7170085.0,
+      "step": 3935
+    },
+    {
+      "entropy": 5.590339422225952,
+      "epoch": 3.264291632145816,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004260445220556811,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.1736685037612915,
+      "num_tokens": 7179366.0,
+      "step": 3940
+    },
+    {
+      "entropy": 5.52174072265625,
+      "epoch": 3.2684341342170673,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00042580752188831376,
+      "loss": 5.2819,
+      "mean_token_accuracy": 0.17067586481571198,
+      "num_tokens": 7188342.0,
+      "step": 3945
+    },
+    {
+      "entropy": 5.556540441513062,
+      "epoch": 3.272576636288318,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004255702175256946,
+      "loss": 5.3095,
+      "mean_token_accuracy": 0.17531315684318544,
+      "num_tokens": 7197466.0,
+      "step": 3950
+    },
+    {
+      "entropy": 5.42687840461731,
+      "epoch": 3.276719138359569,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00042533260944649273,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17852312475442886,
+      "num_tokens": 7205462.0,
+      "step": 3955
+    },
+    {
+      "entropy": 5.424286890029907,
+      "epoch": 3.28086164043082,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004250946981299893,
+      "loss": 5.1838,
+      "mean_token_accuracy": 0.17682615667581558,
+      "num_tokens": 7215115.0,
+      "step": 3960
+    },
+    {
+      "entropy": 5.459038209915161,
+      "epoch": 3.2850041425020713,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00042485648405607776,
+      "loss": 5.1379,
+      "mean_token_accuracy": 0.17029522657394408,
+      "num_tokens": 7224909.0,
+      "step": 3965
+    },
+    {
+      "entropy": 5.392039203643799,
+      "epoch": 3.2891466445733224,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004246179677052617,
+      "loss": 5.0642,
+      "mean_token_accuracy": 0.18698266595602037,
+      "num_tokens": 7232946.0,
+      "step": 3970
+    },
+    {
+      "entropy": 5.362467432022095,
+      "epoch": 3.2932891466445735,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004243791495586547,
+      "loss": 5.1736,
+      "mean_token_accuracy": 0.17996304631233215,
+      "num_tokens": 7241104.0,
+      "step": 3975
+    },
+    {
+      "entropy": 5.567073392868042,
+      "epoch": 3.297431648715824,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004241400300979791,
+      "loss": 5.2257,
+      "mean_token_accuracy": 0.1786801502108574,
+      "num_tokens": 7250749.0,
+      "step": 3980
+    },
+    {
+      "entropy": 5.447740983963013,
+      "epoch": 3.3015741507870753,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004239006098055651,
+      "loss": 5.124,
+      "mean_token_accuracy": 0.1787547677755356,
+      "num_tokens": 7258687.0,
+      "step": 3985
+    },
+    {
+      "entropy": 5.41381049156189,
+      "epoch": 3.3057166528583264,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004236608891643494,
+      "loss": 5.1572,
+      "mean_token_accuracy": 0.17702401280403138,
+      "num_tokens": 7267316.0,
+      "step": 3990
+    },
+    {
+      "entropy": 5.448715782165527,
+      "epoch": 3.3098591549295775,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004234208686578748,
+      "loss": 5.1777,
+      "mean_token_accuracy": 0.17505329996347427,
+      "num_tokens": 7276734.0,
+      "step": 3995
+    },
+    {
+      "entropy": 5.440592193603516,
+      "epoch": 3.3140016570008286,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00042318054877028876,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17840310037136078,
+      "num_tokens": 7285916.0,
+      "step": 4000
+    },
+    {
+      "epoch": 3.3140016570008286,
+      "eval_entropy": 5.363256025416002,
+      "eval_loss": 5.893955707550049,
+      "eval_mean_token_accuracy": 0.15349840453819935,
+      "eval_num_tokens": 7285916.0,
+      "eval_runtime": 2.7471,
+      "eval_samples_per_second": 1363.961,
+      "eval_steps_per_second": 170.723,
+      "step": 4000
+    },
+    {
+      "entropy": 5.487448406219483,
+      "epoch": 3.3181441590720797,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042293992998634314,
+      "loss": 5.1667,
+      "mean_token_accuracy": 0.17779863625764847,
+      "num_tokens": 7294184.0,
+      "step": 4005
+    },
+    {
+      "entropy": 5.414953899383545,
+      "epoch": 3.3222866611433304,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004226990127913918,
+      "loss": 5.177,
+      "mean_token_accuracy": 0.1768763244152069,
+      "num_tokens": 7302647.0,
+      "step": 4010
+    },
+    {
+      "entropy": 5.442982530593872,
+      "epoch": 3.3264291632145815,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004224577976713915,
+      "loss": 5.2506,
+      "mean_token_accuracy": 0.16832198798656464,
+      "num_tokens": 7311455.0,
+      "step": 4015
+    },
+    {
+      "entropy": 5.609448575973511,
+      "epoch": 3.3305716652858326,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00042221628511289927,
+      "loss": 5.3136,
+      "mean_token_accuracy": 0.16625809520483018,
+      "num_tokens": 7320978.0,
+      "step": 4020
+    },
+    {
+      "entropy": 5.612923622131348,
+      "epoch": 3.3347141673570837,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004219744756030723,
+      "loss": 5.3273,
+      "mean_token_accuracy": 0.16872513592243193,
+      "num_tokens": 7330202.0,
+      "step": 4025
+    },
+    {
+      "entropy": 5.4015247344970705,
+      "epoch": 3.338856669428335,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00042173236962966706,
+      "loss": 5.1649,
+      "mean_token_accuracy": 0.17969190180301667,
+      "num_tokens": 7339121.0,
+      "step": 4030
+    },
+    {
+      "entropy": 5.492907905578614,
+      "epoch": 3.342999171499586,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004214899676810375,
+      "loss": 5.2251,
+      "mean_token_accuracy": 0.1665240079164505,
+      "num_tokens": 7348631.0,
+      "step": 4035
+    },
+    {
+      "entropy": 5.469464063644409,
+      "epoch": 3.347141673570837,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004212472702461348,
+      "loss": 5.1843,
+      "mean_token_accuracy": 0.1820875510573387,
+      "num_tokens": 7358354.0,
+      "step": 4040
+    },
+    {
+      "entropy": 5.454071807861328,
+      "epoch": 3.3512841756420877,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004210042778145064,
+      "loss": 5.2038,
+      "mean_token_accuracy": 0.17285584658384323,
+      "num_tokens": 7367031.0,
+      "step": 4045
+    },
+    {
+      "entropy": 5.436822319030762,
+      "epoch": 3.355426677713339,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00042076099087629443,
+      "loss": 5.2025,
+      "mean_token_accuracy": 0.1784903883934021,
+      "num_tokens": 7375996.0,
+      "step": 4050
+    },
+    {
+      "entropy": 5.552537536621093,
+      "epoch": 3.35956917978459,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00042051740992223534,
+      "loss": 5.2567,
+      "mean_token_accuracy": 0.16439318358898164,
+      "num_tokens": 7385355.0,
+      "step": 4055
+    },
+    {
+      "entropy": 5.402252960205078,
+      "epoch": 3.363711681855841,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004202735354436586,
+      "loss": 5.0999,
+      "mean_token_accuracy": 0.1792566418647766,
+      "num_tokens": 7394384.0,
+      "step": 4060
+    },
+    {
+      "entropy": 5.511481237411499,
+      "epoch": 3.367854183927092,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00042002936793248546,
+      "loss": 5.2458,
+      "mean_token_accuracy": 0.1770971804857254,
+      "num_tokens": 7403141.0,
+      "step": 4065
+    },
+    {
+      "entropy": 5.508409786224365,
+      "epoch": 3.371996685998343,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004197849078812286,
+      "loss": 5.199,
+      "mean_token_accuracy": 0.1739865079522133,
+      "num_tokens": 7413331.0,
+      "step": 4070
+    },
+    {
+      "entropy": 5.471702003479004,
+      "epoch": 3.376139188069594,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004195401557829907,
+      "loss": 5.2368,
+      "mean_token_accuracy": 0.17052597552537918,
+      "num_tokens": 7422362.0,
+      "step": 4075
+    },
+    {
+      "entropy": 5.4563977241516115,
+      "epoch": 3.380281690140845,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041929511213146343,
+      "loss": 5.1661,
+      "mean_token_accuracy": 0.18033864200115204,
+      "num_tokens": 7431350.0,
+      "step": 4080
+    },
+    {
+      "entropy": 5.4815953254699705,
+      "epoch": 3.384424192212096,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004190497774209266,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.1800685152411461,
+      "num_tokens": 7440382.0,
+      "step": 4085
+    },
+    {
+      "entropy": 5.51438536643982,
+      "epoch": 3.3885666942833472,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00041880415214624715,
+      "loss": 5.2355,
+      "mean_token_accuracy": 0.17847414761781694,
+      "num_tokens": 7449357.0,
+      "step": 4090
+    },
+    {
+      "entropy": 5.463125705718994,
+      "epoch": 3.3927091963545983,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004185582368028781,
+      "loss": 5.1468,
+      "mean_token_accuracy": 0.1853232800960541,
+      "num_tokens": 7457544.0,
+      "step": 4095
+    },
+    {
+      "entropy": 5.409591102600098,
+      "epoch": 3.3968516984258494,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004183120318868577,
+      "loss": 5.1616,
+      "mean_token_accuracy": 0.18774343580007552,
+      "num_tokens": 7465915.0,
+      "step": 4100
+    },
+    {
+      "entropy": 5.435869741439819,
+      "epoch": 3.4009942004971,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00041806553789480787,
+      "loss": 5.1161,
+      "mean_token_accuracy": 0.1833360970020294,
+      "num_tokens": 7474551.0,
+      "step": 4105
+    },
+    {
+      "entropy": 5.507905626296997,
+      "epoch": 3.405136702568351,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00041781875532393423,
+      "loss": 5.2287,
+      "mean_token_accuracy": 0.17473389357328414,
+      "num_tokens": 7483271.0,
+      "step": 4110
+    },
+    {
+      "entropy": 5.474280261993409,
+      "epoch": 3.4092792046396023,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00041757168467202404,
+      "loss": 5.2371,
+      "mean_token_accuracy": 0.17051266878843307,
+      "num_tokens": 7493179.0,
+      "step": 4115
+    },
+    {
+      "entropy": 5.47375521659851,
+      "epoch": 3.4134217067108534,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00041732432643744576,
+      "loss": 5.2132,
+      "mean_token_accuracy": 0.17562344074249267,
+      "num_tokens": 7501858.0,
+      "step": 4120
+    },
+    {
+      "entropy": 5.562008953094482,
+      "epoch": 3.4175642087821045,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004170766811191481,
+      "loss": 5.282,
+      "mean_token_accuracy": 0.16895801872014998,
+      "num_tokens": 7511817.0,
+      "step": 4125
+    },
+    {
+      "entropy": 5.3949895858764645,
+      "epoch": 3.421706710853355,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.0004168287492166587,
+      "loss": 5.2513,
+      "mean_token_accuracy": 0.175115604698658,
+      "num_tokens": 7521655.0,
+      "step": 4130
+    },
+    {
+      "entropy": 5.478516006469727,
+      "epoch": 3.4258492129246063,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041658053123008325,
+      "loss": 5.2289,
+      "mean_token_accuracy": 0.17174260020256044,
+      "num_tokens": 7531321.0,
+      "step": 4135
+    },
+    {
+      "entropy": 5.469200515747071,
+      "epoch": 3.4299917149958574,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004163320276601046,
+      "loss": 5.2104,
+      "mean_token_accuracy": 0.17538849860429764,
+      "num_tokens": 7540613.0,
+      "step": 4140
+    },
+    {
+      "entropy": 5.478423690795898,
+      "epoch": 3.4341342170671085,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004160832390079816,
+      "loss": 5.2823,
+      "mean_token_accuracy": 0.17514234632253647,
+      "num_tokens": 7549598.0,
+      "step": 4145
+    },
+    {
+      "entropy": 5.449503993988037,
+      "epoch": 3.4382767191383596,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00041583416577554815,
+      "loss": 5.1509,
+      "mean_token_accuracy": 0.18169643133878707,
+      "num_tokens": 7558738.0,
+      "step": 4150
+    },
+    {
+      "entropy": 5.454873323440552,
+      "epoch": 3.4424192212096107,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041558480846521213,
+      "loss": 5.1996,
+      "mean_token_accuracy": 0.17627429366111755,
+      "num_tokens": 7566873.0,
+      "step": 4155
+    },
+    {
+      "entropy": 5.413073778152466,
+      "epoch": 3.446561723280862,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041533516757995455,
+      "loss": 5.18,
+      "mean_token_accuracy": 0.1794169783592224,
+      "num_tokens": 7576645.0,
+      "step": 4160
+    },
+    {
+      "entropy": 5.449489498138428,
+      "epoch": 3.4507042253521125,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004150852436233283,
+      "loss": 5.1844,
+      "mean_token_accuracy": 0.17338148206472398,
+      "num_tokens": 7584854.0,
+      "step": 4165
+    },
+    {
+      "entropy": 5.500524044036865,
+      "epoch": 3.4548467274233636,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004148350370994574,
+      "loss": 5.3142,
+      "mean_token_accuracy": 0.16781232208013536,
+      "num_tokens": 7594022.0,
+      "step": 4170
+    },
+    {
+      "entropy": 5.458495187759399,
+      "epoch": 3.4589892294946147,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004145845485130357,
+      "loss": 5.1757,
+      "mean_token_accuracy": 0.17461147904396057,
+      "num_tokens": 7603259.0,
+      "step": 4175
+    },
+    {
+      "entropy": 5.453242301940918,
+      "epoch": 3.463131731565866,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00041433377836932594,
+      "loss": 5.2853,
+      "mean_token_accuracy": 0.1680028423666954,
+      "num_tokens": 7613451.0,
+      "step": 4180
+    },
+    {
+      "entropy": 5.533868455886841,
+      "epoch": 3.467274233637117,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00041408272717415913,
+      "loss": 5.245,
+      "mean_token_accuracy": 0.17225596755743028,
+      "num_tokens": 7622218.0,
+      "step": 4185
+    },
+    {
+      "entropy": 5.351213121414185,
+      "epoch": 3.4714167357083676,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004138313954339327,
+      "loss": 5.104,
+      "mean_token_accuracy": 0.17463669180870056,
+      "num_tokens": 7630508.0,
+      "step": 4190
+    },
+    {
+      "entropy": 5.488496780395508,
+      "epoch": 3.4755592377796187,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004135797836556106,
+      "loss": 5.1982,
+      "mean_token_accuracy": 0.181541608273983,
+      "num_tokens": 7640141.0,
+      "step": 4195
+    },
+    {
+      "entropy": 5.459699392318726,
+      "epoch": 3.47970173985087,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041332789234672094,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1721531167626381,
+      "num_tokens": 7648764.0,
+      "step": 4200
+    },
+    {
+      "entropy": 5.406872129440307,
+      "epoch": 3.483844241922121,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004130757220153561,
+      "loss": 5.1952,
+      "mean_token_accuracy": 0.18173792064189911,
+      "num_tokens": 7658642.0,
+      "step": 4205
+    },
+    {
+      "entropy": 5.544135618209839,
+      "epoch": 3.487986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004128232731701712,
+      "loss": 5.377,
+      "mean_token_accuracy": 0.16519460082054138,
+      "num_tokens": 7667524.0,
+      "step": 4210
+    },
+    {
+      "entropy": 5.488169002532959,
+      "epoch": 3.492129246064623,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004125705463203833,
+      "loss": 5.1928,
+      "mean_token_accuracy": 0.18297115415334703,
+      "num_tokens": 7675800.0,
+      "step": 4215
+    },
+    {
+      "entropy": 5.490040969848633,
+      "epoch": 3.4962717481358743,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041231754197576986,
+      "loss": 5.2252,
+      "mean_token_accuracy": 0.1757526621222496,
+      "num_tokens": 7683742.0,
+      "step": 4220
+    },
+    {
+      "entropy": 5.468280076980591,
+      "epoch": 3.5004142502071254,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004120642606466685,
+      "loss": 5.2278,
+      "mean_token_accuracy": 0.1796238511800766,
+      "num_tokens": 7692379.0,
+      "step": 4225
+    },
+    {
+      "entropy": 5.494374942779541,
+      "epoch": 3.504556752278376,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004118107028439751,
+      "loss": 5.2138,
+      "mean_token_accuracy": 0.17588699012994766,
+      "num_tokens": 7702156.0,
+      "step": 4230
+    },
+    {
+      "entropy": 5.467664003372192,
+      "epoch": 3.508699254349627,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00041155686907914365,
+      "loss": 5.2275,
+      "mean_token_accuracy": 0.1754150867462158,
+      "num_tokens": 7712135.0,
+      "step": 4235
+    },
+    {
+      "entropy": 5.451332426071167,
+      "epoch": 3.5128417564208783,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004113027598641845,
+      "loss": 5.1785,
+      "mean_token_accuracy": 0.1752738744020462,
+      "num_tokens": 7721347.0,
+      "step": 4240
+    },
+    {
+      "entropy": 5.471200275421142,
+      "epoch": 3.5169842584921294,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004110483757116637,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.1789921909570694,
+      "num_tokens": 7731351.0,
+      "step": 4245
+    },
+    {
+      "entropy": 5.433224248886108,
+      "epoch": 3.52112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00041079371713470195,
+      "loss": 5.0996,
+      "mean_token_accuracy": 0.18778069019317628,
+      "num_tokens": 7740413.0,
+      "step": 4250
+    },
+    {
+      "entropy": 5.416608476638794,
+      "epoch": 3.525269262634631,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041053878464697343,
+      "loss": 5.1977,
+      "mean_token_accuracy": 0.18009850829839708,
+      "num_tokens": 7749319.0,
+      "step": 4255
+    },
+    {
+      "entropy": 5.519042015075684,
+      "epoch": 3.5294117647058822,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004102835787627047,
+      "loss": 5.2446,
+      "mean_token_accuracy": 0.17312991321086885,
+      "num_tokens": 7757936.0,
+      "step": 4260
+    },
+    {
+      "entropy": 5.542943048477173,
+      "epoch": 3.5335542667771334,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004100280999966741,
+      "loss": 5.3083,
+      "mean_token_accuracy": 0.17331433892250062,
+      "num_tokens": 7767349.0,
+      "step": 4265
+    },
+    {
+      "entropy": 5.4042651653289795,
+      "epoch": 3.5376967688483845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00040977234886421007,
+      "loss": 5.1133,
+      "mean_token_accuracy": 0.17731781899929047,
+      "num_tokens": 7776448.0,
+      "step": 4270
+    },
+    {
+      "entropy": 5.4222177028656,
+      "epoch": 3.5418392709196356,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040951632588119064,
+      "loss": 5.209,
+      "mean_token_accuracy": 0.17401482313871383,
+      "num_tokens": 7785768.0,
+      "step": 4275
+    },
+    {
+      "entropy": 5.600345802307129,
+      "epoch": 3.5459817729908867,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004092600315640422,
+      "loss": 5.2999,
+      "mean_token_accuracy": 0.1715576618909836,
+      "num_tokens": 7794803.0,
+      "step": 4280
+    },
+    {
+      "entropy": 5.411063814163208,
+      "epoch": 3.550124275062138,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004090034664297382,
+      "loss": 5.157,
+      "mean_token_accuracy": 0.17963247746229172,
+      "num_tokens": 7803533.0,
+      "step": 4285
+    },
+    {
+      "entropy": 5.421855831146241,
+      "epoch": 3.5542667771333885,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00040874663099579883,
+      "loss": 5.2246,
+      "mean_token_accuracy": 0.1706953912973404,
+      "num_tokens": 7812854.0,
+      "step": 4290
+    },
+    {
+      "entropy": 5.49954047203064,
+      "epoch": 3.5584092792046396,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040848952578028915,
+      "loss": 5.1628,
+      "mean_token_accuracy": 0.174958436191082,
+      "num_tokens": 7821683.0,
+      "step": 4295
+    },
+    {
+      "entropy": 5.501424264907837,
+      "epoch": 3.5625517812758907,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004082321513018183,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.18335361480712892,
+      "num_tokens": 7830967.0,
+      "step": 4300
+    },
+    {
+      "entropy": 5.48747296333313,
+      "epoch": 3.566694283347142,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00040797450807953897,
+      "loss": 5.2159,
+      "mean_token_accuracy": 0.17444179207086563,
+      "num_tokens": 7841179.0,
+      "step": 4305
+    },
+    {
+      "entropy": 5.489819192886353,
+      "epoch": 3.5708367854183924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004077165966331454,
+      "loss": 5.1587,
+      "mean_token_accuracy": 0.1852751389145851,
+      "num_tokens": 7849841.0,
+      "step": 4310
+    },
+    {
+      "entropy": 5.301797342300415,
+      "epoch": 3.5749792874896436,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004074584174828735,
+      "loss": 5.2184,
+      "mean_token_accuracy": 0.1747626096010208,
+      "num_tokens": 7859390.0,
+      "step": 4315
+    },
+    {
+      "entropy": 5.493851947784424,
+      "epoch": 3.5791217895608947,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040719997114949856,
+      "loss": 5.1913,
+      "mean_token_accuracy": 0.17565421015024185,
+      "num_tokens": 7868848.0,
+      "step": 4320
+    },
+    {
+      "entropy": 5.506833124160766,
+      "epoch": 3.5832642916321458,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040694125815433533,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.18058759868144988,
+      "num_tokens": 7877521.0,
+      "step": 4325
+    },
+    {
+      "entropy": 5.488465976715088,
+      "epoch": 3.587406793703397,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004066822790192359,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.17181889414787294,
+      "num_tokens": 7886355.0,
+      "step": 4330
+    },
+    {
+      "entropy": 5.437413024902344,
+      "epoch": 3.591549295774648,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00040642303426658967,
+      "loss": 5.2518,
+      "mean_token_accuracy": 0.17224401384592056,
+      "num_tokens": 7895028.0,
+      "step": 4335
+    },
+    {
+      "entropy": 5.379445266723633,
+      "epoch": 3.595691797845899,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040616352441932163,
+      "loss": 5.1282,
+      "mean_token_accuracy": 0.17695483118295668,
+      "num_tokens": 7904192.0,
+      "step": 4340
+    },
+    {
+      "entropy": 5.439553546905517,
+      "epoch": 3.59983429991715,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00040590375000089146,
+      "loss": 5.2066,
+      "mean_token_accuracy": 0.17032651007175445,
+      "num_tokens": 7912328.0,
+      "step": 4345
+    },
+    {
+      "entropy": 5.5121315002441404,
+      "epoch": 3.603976801988401,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00040564371153529256,
+      "loss": 5.2517,
+      "mean_token_accuracy": 0.1720314145088196,
+      "num_tokens": 7922594.0,
+      "step": 4350
+    },
+    {
+      "entropy": 5.450373315811158,
+      "epoch": 3.608119304059652,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004053834095470509,
+      "loss": 5.2201,
+      "mean_token_accuracy": 0.16222715824842454,
+      "num_tokens": 7932345.0,
+      "step": 4355
+    },
+    {
+      "entropy": 5.505369853973389,
+      "epoch": 3.612261806130903,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00040512284456122407,
+      "loss": 5.2236,
+      "mean_token_accuracy": 0.17660728394985198,
+      "num_tokens": 7942800.0,
+      "step": 4360
+    },
+    {
+      "entropy": 5.410261583328247,
+      "epoch": 3.616404308202154,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00040486201710340016,
+      "loss": 5.1287,
+      "mean_token_accuracy": 0.1859680861234665,
+      "num_tokens": 7951094.0,
+      "step": 4365
+    },
+    {
+      "entropy": 5.429905796051026,
+      "epoch": 3.6205468102734053,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040460092769969654,
+      "loss": 5.1947,
+      "mean_token_accuracy": 0.17089750617742538,
+      "num_tokens": 7960652.0,
+      "step": 4370
+    },
+    {
+      "entropy": 5.518308162689209,
+      "epoch": 3.624689312344656,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004043395768767592,
+      "loss": 5.2977,
+      "mean_token_accuracy": 0.16983983814716339,
+      "num_tokens": 7969350.0,
+      "step": 4375
+    },
+    {
+      "entropy": 5.475090789794922,
+      "epoch": 3.628831814415907,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004040779651617612,
+      "loss": 5.1831,
+      "mean_token_accuracy": 0.1762356474995613,
+      "num_tokens": 7978969.0,
+      "step": 4380
+    },
+    {
+      "entropy": 5.422111892700196,
+      "epoch": 3.632974316487158,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040381609308240207,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.1777448311448097,
+      "num_tokens": 7988531.0,
+      "step": 4385
+    },
+    {
+      "entropy": 5.423072242736817,
+      "epoch": 3.6371168185584093,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040355396116690634,
+      "loss": 5.1864,
+      "mean_token_accuracy": 0.17186058908700944,
+      "num_tokens": 7996576.0,
+      "step": 4390
+    },
+    {
+      "entropy": 5.435235500335693,
+      "epoch": 3.6412593206296604,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004032915699440227,
+      "loss": 5.2216,
+      "mean_token_accuracy": 0.17088689655065536,
+      "num_tokens": 8006279.0,
+      "step": 4395
+    },
+    {
+      "entropy": 5.496079921722412,
+      "epoch": 3.6454018227009115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000403028919943023,
+      "loss": 5.2049,
+      "mean_token_accuracy": 0.17314011603593826,
+      "num_tokens": 8015476.0,
+      "step": 4400
+    },
+    {
+      "entropy": 5.474205350875854,
+      "epoch": 3.6495443247721626,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004027660116937009,
+      "loss": 5.2326,
+      "mean_token_accuracy": 0.17077937126159667,
+      "num_tokens": 8025450.0,
+      "step": 4405
+    },
+    {
+      "entropy": 5.4402251720428465,
+      "epoch": 3.6536868268434133,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004025028457263712,
+      "loss": 5.2238,
+      "mean_token_accuracy": 0.17810273319482803,
+      "num_tokens": 8034850.0,
+      "step": 4410
+    },
+    {
+      "entropy": 5.3980237483978275,
+      "epoch": 3.6578293289146644,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004022394225718684,
+      "loss": 5.1709,
+      "mean_token_accuracy": 0.17368220686912536,
+      "num_tokens": 8044526.0,
+      "step": 4415
+    },
+    {
+      "entropy": 5.446775197982788,
+      "epoch": 3.6619718309859155,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004019757427615456,
+      "loss": 5.1341,
+      "mean_token_accuracy": 0.17317759096622468,
+      "num_tokens": 8054033.0,
+      "step": 4420
+    },
+    {
+      "entropy": 5.478370094299317,
+      "epoch": 3.6661143330571666,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0004017118068272739,
+      "loss": 5.2298,
+      "mean_token_accuracy": 0.17926038503646852,
+      "num_tokens": 8063535.0,
+      "step": 4425
+    },
+    {
+      "entropy": 5.495908880233765,
+      "epoch": 3.6702568351284177,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040144761530144096,
+      "loss": 5.2181,
+      "mean_token_accuracy": 0.18870080262422562,
+      "num_tokens": 8073079.0,
+      "step": 4430
+    },
+    {
+      "entropy": 5.367459678649903,
+      "epoch": 3.6743993371996684,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00040118316871695,
+      "loss": 5.1505,
+      "mean_token_accuracy": 0.18230827152729034,
+      "num_tokens": 8082925.0,
+      "step": 4435
+    },
+    {
+      "entropy": 5.457099437713623,
+      "epoch": 3.6785418392709195,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040091846760721857,
+      "loss": 5.2466,
+      "mean_token_accuracy": 0.17278454601764678,
+      "num_tokens": 8092038.0,
+      "step": 4440
+    },
+    {
+      "entropy": 5.460009002685547,
+      "epoch": 3.6826843413421706,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040065351250617774,
+      "loss": 5.2137,
+      "mean_token_accuracy": 0.1679331600666046,
+      "num_tokens": 8101581.0,
+      "step": 4445
+    },
+    {
+      "entropy": 5.392482471466065,
+      "epoch": 3.6868268434134217,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00040038830394827107,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.17032679468393325,
+      "num_tokens": 8111392.0,
+      "step": 4450
+    },
+    {
+      "entropy": 5.5369532108306885,
+      "epoch": 3.690969345484673,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000400122842468453,
+      "loss": 5.2742,
+      "mean_token_accuracy": 0.16916199624538422,
+      "num_tokens": 8120941.0,
+      "step": 4455
+    },
+    {
+      "entropy": 5.403111267089844,
+      "epoch": 3.695111847555924,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003998571286021884,
+      "loss": 5.1822,
+      "mean_token_accuracy": 0.1721450611948967,
+      "num_tokens": 8129983.0,
+      "step": 4460
+    },
+    {
+      "entropy": 5.482623481750489,
+      "epoch": 3.699254349627175,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003995911628854512,
+      "loss": 5.3064,
+      "mean_token_accuracy": 0.1740827202796936,
+      "num_tokens": 8139428.0,
+      "step": 4465
+    },
+    {
+      "entropy": 5.509563970565796,
+      "epoch": 3.7033968516984257,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003993249458547234,
+      "loss": 5.2302,
+      "mean_token_accuracy": 0.16980735808610917,
+      "num_tokens": 8148520.0,
+      "step": 4470
+    },
+    {
+      "entropy": 5.3746521949768065,
+      "epoch": 3.707539353769677,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039905847804699363,
+      "loss": 5.0676,
+      "mean_token_accuracy": 0.18766331672668457,
+      "num_tokens": 8156908.0,
+      "step": 4475
+    },
+    {
+      "entropy": 5.446433591842651,
+      "epoch": 3.711681855840928,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00039879175999975677,
+      "loss": 5.2156,
+      "mean_token_accuracy": 0.18001207262277602,
+      "num_tokens": 8165677.0,
+      "step": 4480
+    },
+    {
+      "entropy": 5.386814975738526,
+      "epoch": 3.715824357912179,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00039852479225101217,
+      "loss": 5.1883,
+      "mean_token_accuracy": 0.17356531620025634,
+      "num_tokens": 8174786.0,
+      "step": 4485
+    },
+    {
+      "entropy": 5.454575872421264,
+      "epoch": 3.71996685998343,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00039825757533926305,
+      "loss": 5.2484,
+      "mean_token_accuracy": 0.16340016275644303,
+      "num_tokens": 8184150.0,
+      "step": 4490
+    },
+    {
+      "entropy": 5.4400050163269045,
+      "epoch": 3.724109362054681,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039799010980351494,
+      "loss": 5.1455,
+      "mean_token_accuracy": 0.1879016414284706,
+      "num_tokens": 8192257.0,
+      "step": 4495
+    },
+    {
+      "entropy": 5.452324247360229,
+      "epoch": 3.728251864125932,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00039772239618327535,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.1748780906200409,
+      "num_tokens": 8201041.0,
+      "step": 4500
+    },
+    {
+      "epoch": 3.728251864125932,
+      "eval_entropy": 5.297962182620441,
+      "eval_loss": 5.854063987731934,
+      "eval_mean_token_accuracy": 0.15576711011085428,
+      "eval_num_tokens": 8201041.0,
+      "eval_runtime": 2.7449,
+      "eval_samples_per_second": 1365.057,
+      "eval_steps_per_second": 170.86,
+      "step": 4500
+    },
+    {
+      "entropy": 5.430630874633789,
+      "epoch": 3.732394366197183,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00039745443501855156,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18020173758268357,
+      "num_tokens": 8209881.0,
+      "step": 4505
+    },
+    {
+      "entropy": 5.426507759094238,
+      "epoch": 3.736536868268434,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039718622684985075,
+      "loss": 5.2198,
+      "mean_token_accuracy": 0.1857784554362297,
+      "num_tokens": 8218504.0,
+      "step": 4510
+    },
+    {
+      "entropy": 5.427436780929566,
+      "epoch": 3.7406793703396852,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000396917772218178,
+      "loss": 5.0397,
+      "mean_token_accuracy": 0.19483556151390075,
+      "num_tokens": 8226785.0,
+      "step": 4515
+    },
+    {
+      "entropy": 5.463036251068115,
+      "epoch": 3.7448218724109363,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0003966490716650357,
+      "loss": 5.1879,
+      "mean_token_accuracy": 0.1808652698993683,
+      "num_tokens": 8236092.0,
+      "step": 4520
+    },
+    {
+      "entropy": 5.398115777969361,
+      "epoch": 3.7489643744821874,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039638012573242225,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18426763266324997,
+      "num_tokens": 8245297.0,
+      "step": 4525
+    },
+    {
+      "entropy": 5.498414611816406,
+      "epoch": 3.7531068765534386,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003961109349628309,
+      "loss": 5.2544,
+      "mean_token_accuracy": 0.16994525790214537,
+      "num_tokens": 8254772.0,
+      "step": 4530
+    },
+    {
+      "entropy": 5.488787031173706,
+      "epoch": 3.757249378624689,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000395841499899249,
+      "loss": 5.3168,
+      "mean_token_accuracy": 0.1684611275792122,
+      "num_tokens": 8264310.0,
+      "step": 4535
+    },
+    {
+      "entropy": 5.4844201564788815,
+      "epoch": 3.7613918806959403,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00039557182108515624,
+      "loss": 5.2197,
+      "mean_token_accuracy": 0.1802253693342209,
+      "num_tokens": 8274184.0,
+      "step": 4540
+    },
+    {
+      "entropy": 5.40406289100647,
+      "epoch": 3.7655343827671914,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039530189906452457,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.18066346347332002,
+      "num_tokens": 8283151.0,
+      "step": 4545
+    },
+    {
+      "entropy": 5.490919494628907,
+      "epoch": 3.7696768848384425,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00039503173438181605,
+      "loss": 5.2375,
+      "mean_token_accuracy": 0.16958207488059998,
+      "num_tokens": 8292574.0,
+      "step": 4550
+    },
+    {
+      "entropy": 5.37688570022583,
+      "epoch": 3.773819386909693,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039476132758198236,
+      "loss": 5.1589,
+      "mean_token_accuracy": 0.17906700521707536,
+      "num_tokens": 8301281.0,
+      "step": 4555
+    },
+    {
+      "entropy": 5.404768991470337,
+      "epoch": 3.7779618889809443,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039449067921046353,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.184201979637146,
+      "num_tokens": 8310201.0,
+      "step": 4560
+    },
+    {
+      "entropy": 5.5153802871704105,
+      "epoch": 3.7821043910521954,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00039421978981318703,
+      "loss": 5.243,
+      "mean_token_accuracy": 0.17428653091192245,
+      "num_tokens": 8320369.0,
+      "step": 4565
+    },
+    {
+      "entropy": 5.490174674987793,
+      "epoch": 3.7862468931234465,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00039394865993656625,
+      "loss": 5.2332,
+      "mean_token_accuracy": 0.17829314470291138,
+      "num_tokens": 8329519.0,
+      "step": 4570
+    },
+    {
+      "entropy": 5.4183516025543215,
+      "epoch": 3.7903893951946976,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003936772901274999,
+      "loss": 5.2233,
+      "mean_token_accuracy": 0.16786337196826934,
+      "num_tokens": 8338282.0,
+      "step": 4575
+    },
+    {
+      "entropy": 5.422275066375732,
+      "epoch": 3.7945318972659487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003934056809333705,
+      "loss": 5.2367,
+      "mean_token_accuracy": 0.1760738953948021,
+      "num_tokens": 8346861.0,
+      "step": 4580
+    },
+    {
+      "entropy": 5.493864250183106,
+      "epoch": 3.7986743993372,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039313383290204333,
+      "loss": 5.2689,
+      "mean_token_accuracy": 0.16675272732973098,
+      "num_tokens": 8356078.0,
+      "step": 4585
+    },
+    {
+      "entropy": 5.449766826629639,
+      "epoch": 3.802816901408451,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003928617465818658,
+      "loss": 5.2279,
+      "mean_token_accuracy": 0.16728012412786483,
+      "num_tokens": 8365487.0,
+      "step": 4590
+    },
+    {
+      "entropy": 5.477828598022461,
+      "epoch": 3.8069594034797016,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00039258942252166554,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.17344195693731307,
+      "num_tokens": 8374622.0,
+      "step": 4595
+    },
+    {
+      "entropy": 5.467281007766724,
+      "epoch": 3.8111019055509527,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003923168612707502,
+      "loss": 5.1437,
+      "mean_token_accuracy": 0.1838704138994217,
+      "num_tokens": 8383312.0,
+      "step": 4600
+    },
+    {
+      "entropy": 5.375951862335205,
+      "epoch": 3.815244407622204,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003920440633789053,
+      "loss": 5.1668,
+      "mean_token_accuracy": 0.17426021844148637,
+      "num_tokens": 8391987.0,
+      "step": 4605
+    },
+    {
+      "entropy": 5.411648225784302,
+      "epoch": 3.819386909693455,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039177102939639424,
+      "loss": 5.1782,
+      "mean_token_accuracy": 0.17309755831956863,
+      "num_tokens": 8401263.0,
+      "step": 4610
+    },
+    {
+      "entropy": 5.520602798461914,
+      "epoch": 3.8235294117647056,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003914977598739563,
+      "loss": 5.1998,
+      "mean_token_accuracy": 0.18663258850574493,
+      "num_tokens": 8410110.0,
+      "step": 4615
+    },
+    {
+      "entropy": 5.505752420425415,
+      "epoch": 3.8276719138359567,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003912242553628059,
+      "loss": 5.2827,
+      "mean_token_accuracy": 0.16937017440795898,
+      "num_tokens": 8419321.0,
+      "step": 4620
+    },
+    {
+      "entropy": 5.470319938659668,
+      "epoch": 3.831814415907208,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003909505164146318,
+      "loss": 5.2512,
+      "mean_token_accuracy": 0.17635022550821305,
+      "num_tokens": 8428376.0,
+      "step": 4625
+    },
+    {
+      "entropy": 5.446829080581665,
+      "epoch": 3.835956917978459,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000390676543581595,
+      "loss": 5.1826,
+      "mean_token_accuracy": 0.1743323564529419,
+      "num_tokens": 8437263.0,
+      "step": 4630
+    },
+    {
+      "entropy": 5.361465311050415,
+      "epoch": 3.84009942004971,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003904023374163289,
+      "loss": 5.1943,
+      "mean_token_accuracy": 0.17949013262987137,
+      "num_tokens": 8445889.0,
+      "step": 4635
+    },
+    {
+      "entropy": 5.503735971450806,
+      "epoch": 3.844241922120961,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003901278984719372,
+      "loss": 5.3739,
+      "mean_token_accuracy": 0.16415481567382811,
+      "num_tokens": 8456086.0,
+      "step": 4640
+    },
+    {
+      "entropy": 5.492273569107056,
+      "epoch": 3.8483844241922123,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00038985322730199326,
+      "loss": 5.2018,
+      "mean_token_accuracy": 0.1795567825436592,
+      "num_tokens": 8465150.0,
+      "step": 4645
+    },
+    {
+      "entropy": 5.431647396087646,
+      "epoch": 3.8525269262634634,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003895783244605389,
+      "loss": 5.2783,
+      "mean_token_accuracy": 0.1720671087503433,
+      "num_tokens": 8474172.0,
+      "step": 4650
+    },
+    {
+      "entropy": 5.404905462265015,
+      "epoch": 3.856669428334714,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00038930319050208315,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.18708953112363816,
+      "num_tokens": 8483636.0,
+      "step": 4655
+    },
+    {
+      "entropy": 5.408392810821534,
+      "epoch": 3.860811930405965,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00038902782598160127,
+      "loss": 5.1091,
+      "mean_token_accuracy": 0.1881578117609024,
+      "num_tokens": 8491560.0,
+      "step": 4660
+    },
+    {
+      "entropy": 5.484521150588989,
+      "epoch": 3.8649544324772163,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00038875223145453346,
+      "loss": 5.4046,
+      "mean_token_accuracy": 0.17662398070096968,
+      "num_tokens": 8501685.0,
+      "step": 4665
+    },
+    {
+      "entropy": 5.551066589355469,
+      "epoch": 3.8690969345484674,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003884764074767842,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.17176942974328996,
+      "num_tokens": 8510580.0,
+      "step": 4670
+    },
+    {
+      "entropy": 5.477302551269531,
+      "epoch": 3.873239436619718,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003882003546047205,
+      "loss": 5.2013,
+      "mean_token_accuracy": 0.17522621154785156,
+      "num_tokens": 8519595.0,
+      "step": 4675
+    },
+    {
+      "entropy": 5.506098508834839,
+      "epoch": 3.877381938690969,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00038792407339517123,
+      "loss": 5.2786,
+      "mean_token_accuracy": 0.17400375306606292,
+      "num_tokens": 8529118.0,
+      "step": 4680
+    },
+    {
+      "entropy": 5.507658243179321,
+      "epoch": 3.8815244407622203,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00038764756440542574,
+      "loss": 5.2477,
+      "mean_token_accuracy": 0.17185091674327851,
+      "num_tokens": 8539322.0,
+      "step": 4685
+    },
+    {
+      "entropy": 5.454025650024414,
+      "epoch": 3.8856669428334714,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038737082819323285,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.17740404605865479,
+      "num_tokens": 8548707.0,
+      "step": 4690
+    },
+    {
+      "entropy": 5.427890157699585,
+      "epoch": 3.8898094449047225,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00038709386531679974,
+      "loss": 5.2576,
+      "mean_token_accuracy": 0.1718251511454582,
+      "num_tokens": 8557500.0,
+      "step": 4695
+    },
+    {
+      "entropy": 5.436252593994141,
+      "epoch": 3.8939519469759736,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00038681667633479086,
+      "loss": 5.2621,
+      "mean_token_accuracy": 0.1682343602180481,
+      "num_tokens": 8567465.0,
+      "step": 4700
+    },
+    {
+      "entropy": 5.381856250762939,
+      "epoch": 3.8980944490472247,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038653926180632665,
+      "loss": 5.1165,
+      "mean_token_accuracy": 0.18321423530578612,
+      "num_tokens": 8576680.0,
+      "step": 4705
+    },
+    {
+      "entropy": 5.495894527435302,
+      "epoch": 3.902236951118476,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00038626162229098257,
+      "loss": 5.2631,
+      "mean_token_accuracy": 0.16617788672447203,
+      "num_tokens": 8585539.0,
+      "step": 4710
+    },
+    {
+      "entropy": 5.400326347351074,
+      "epoch": 3.9063794531897265,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003859837583487877,
+      "loss": 5.1007,
+      "mean_token_accuracy": 0.18613590002059938,
+      "num_tokens": 8593598.0,
+      "step": 4715
+    },
+    {
+      "entropy": 5.4148589134216305,
+      "epoch": 3.9105219552609776,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003857056705402241,
+      "loss": 5.236,
+      "mean_token_accuracy": 0.1721765860915184,
+      "num_tokens": 8603440.0,
+      "step": 4720
+    },
+    {
+      "entropy": 5.384281969070434,
+      "epoch": 3.9146644573322287,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003854273594262253,
+      "loss": 5.0591,
+      "mean_token_accuracy": 0.1858549162745476,
+      "num_tokens": 8612490.0,
+      "step": 4725
+    },
+    {
+      "entropy": 5.387153816223145,
+      "epoch": 3.91880695940348,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003851488255681752,
+      "loss": 5.1508,
+      "mean_token_accuracy": 0.17980385273694993,
+      "num_tokens": 8621994.0,
+      "step": 4730
+    },
+    {
+      "entropy": 5.462166833877563,
+      "epoch": 3.922949461474731,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000384870069527907,
+      "loss": 5.2269,
+      "mean_token_accuracy": 0.16994049549102783,
+      "num_tokens": 8631185.0,
+      "step": 4735
+    },
+    {
+      "entropy": 5.445327711105347,
+      "epoch": 3.9270919635459816,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00038459109186770213,
+      "loss": 5.1201,
+      "mean_token_accuracy": 0.18937034606933595,
+      "num_tokens": 8639018.0,
+      "step": 4740
+    },
+    {
+      "entropy": 5.365725660324097,
+      "epoch": 3.9312344656172327,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00038431189315028905,
+      "loss": 5.1293,
+      "mean_token_accuracy": 0.1805494785308838,
+      "num_tokens": 8647672.0,
+      "step": 4745
+    },
+    {
+      "entropy": 5.42286114692688,
+      "epoch": 3.9353769676884838,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003840324739388419,
+      "loss": 5.2659,
+      "mean_token_accuracy": 0.16662627309560776,
+      "num_tokens": 8656638.0,
+      "step": 4750
+    },
+    {
+      "entropy": 5.4803203582763675,
+      "epoch": 3.939519469759735,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00038375283479698,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.18231208473443986,
+      "num_tokens": 8666167.0,
+      "step": 4755
+    },
+    {
+      "entropy": 5.505121231079102,
+      "epoch": 3.943661971830986,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003834729762887659,
+      "loss": 5.3067,
+      "mean_token_accuracy": 0.16447765678167342,
+      "num_tokens": 8676435.0,
+      "step": 4760
+    },
+    {
+      "entropy": 5.413615751266479,
+      "epoch": 3.947804473902237,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003831928989787049,
+      "loss": 5.1808,
+      "mean_token_accuracy": 0.18012969940900803,
+      "num_tokens": 8686011.0,
+      "step": 4765
+    },
+    {
+      "entropy": 5.463970613479614,
+      "epoch": 3.951946975973488,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003829126034317435,
+      "loss": 5.1959,
+      "mean_token_accuracy": 0.17213619947433473,
+      "num_tokens": 8695063.0,
+      "step": 4770
+    },
+    {
+      "entropy": 5.517300796508789,
+      "epoch": 3.956089478044739,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003826320902132684,
+      "loss": 5.299,
+      "mean_token_accuracy": 0.16880902647972107,
+      "num_tokens": 8704585.0,
+      "step": 4775
+    },
+    {
+      "entropy": 5.469470262527466,
+      "epoch": 3.96023198011599,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038235135988910545,
+      "loss": 5.2111,
+      "mean_token_accuracy": 0.17501715570688248,
+      "num_tokens": 8714097.0,
+      "step": 4780
+    },
+    {
+      "entropy": 5.433980226516724,
+      "epoch": 3.964374482187241,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00038207041302551844,
+      "loss": 5.1327,
+      "mean_token_accuracy": 0.1802523225545883,
+      "num_tokens": 8722890.0,
+      "step": 4785
+    },
+    {
+      "entropy": 5.36038613319397,
+      "epoch": 3.968516984258492,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003817892501892078,
+      "loss": 5.1474,
+      "mean_token_accuracy": 0.18226009160280227,
+      "num_tokens": 8732046.0,
+      "step": 4790
+    },
+    {
+      "entropy": 5.385818529129028,
+      "epoch": 3.9726594863297433,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038150787194730977,
+      "loss": 5.1867,
+      "mean_token_accuracy": 0.18098812699317932,
+      "num_tokens": 8741750.0,
+      "step": 4795
+    },
+    {
+      "entropy": 5.49769434928894,
+      "epoch": 3.976801988400994,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000381226278867395,
+      "loss": 5.1585,
+      "mean_token_accuracy": 0.17722393125295638,
+      "num_tokens": 8750141.0,
+      "step": 4800
+    },
+    {
+      "entropy": 5.3994584560394285,
+      "epoch": 3.980944490472245,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00038094447151746746,
+      "loss": 5.0956,
+      "mean_token_accuracy": 0.18723244071006775,
+      "num_tokens": 8758567.0,
+      "step": 4805
+    },
+    {
+      "entropy": 5.376461982727051,
+      "epoch": 3.985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003806624504659635,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1782562255859375,
+      "num_tokens": 8767829.0,
+      "step": 4810
+    },
+    {
+      "entropy": 5.416551733016968,
+      "epoch": 3.9892294946147473,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003803802162817503,
+      "loss": 5.0891,
+      "mean_token_accuracy": 0.18413031548261644,
+      "num_tokens": 8776911.0,
+      "step": 4815
+    },
+    {
+      "entropy": 5.403548002243042,
+      "epoch": 3.9933719966859984,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000380097769534125,
+      "loss": 5.2011,
+      "mean_token_accuracy": 0.18309975266456605,
+      "num_tokens": 8786117.0,
+      "step": 4820
+    },
+    {
+      "entropy": 5.401311016082763,
+      "epoch": 3.9975144987572495,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003798151107928136,
+      "loss": 5.1436,
+      "mean_token_accuracy": 0.18381998240947722,
+      "num_tokens": 8795647.0,
+      "step": 4825
+    },
+    {
+      "entropy": 5.363515567779541,
+      "epoch": 4.001657000828501,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00037953224062796967,
+      "loss": 5.1114,
+      "mean_token_accuracy": 0.18405449539422988,
+      "num_tokens": 8803480.0,
+      "step": 4830
+    },
+    {
+      "entropy": 5.504069137573242,
+      "epoch": 4.005799502899752,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003792491596101733,
+      "loss": 4.9454,
+      "mean_token_accuracy": 0.19255731254816055,
+      "num_tokens": 8812825.0,
+      "step": 4835
+    },
+    {
+      "entropy": 5.45196304321289,
+      "epoch": 4.009942004971003,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003789658683104298,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19097152799367906,
+      "num_tokens": 8821911.0,
+      "step": 4840
+    },
+    {
+      "entropy": 5.429521989822388,
+      "epoch": 4.014084507042254,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037868236730016866,
+      "loss": 4.9518,
+      "mean_token_accuracy": 0.18948255032300948,
+      "num_tokens": 8830691.0,
+      "step": 4845
+    },
+    {
+      "entropy": 5.400455188751221,
+      "epoch": 4.018227009113504,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037839865715124234,
+      "loss": 4.9281,
+      "mean_token_accuracy": 0.19010053426027299,
+      "num_tokens": 8840410.0,
+      "step": 4850
+    },
+    {
+      "entropy": 5.374143838882446,
+      "epoch": 4.022369511184755,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00037811473843592534,
+      "loss": 4.9042,
+      "mean_token_accuracy": 0.19410175532102586,
+      "num_tokens": 8849662.0,
+      "step": 4855
+    },
+    {
+      "entropy": 5.4465690612792965,
+      "epoch": 4.026512013256006,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00037783061172691273,
+      "loss": 4.8985,
+      "mean_token_accuracy": 0.19412659406661986,
+      "num_tokens": 8858666.0,
+      "step": 4860
+    },
+    {
+      "entropy": 5.497456216812134,
+      "epoch": 4.0306545153272575,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003775462775973191,
+      "loss": 4.9611,
+      "mean_token_accuracy": 0.1847592905163765,
+      "num_tokens": 8867885.0,
+      "step": 4865
+    },
+    {
+      "entropy": 5.351856470108032,
+      "epoch": 4.034797017398509,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003772617366206773,
+      "loss": 4.9175,
+      "mean_token_accuracy": 0.19424951672554017,
+      "num_tokens": 8877458.0,
+      "step": 4870
+    },
+    {
+      "entropy": 5.363556432723999,
+      "epoch": 4.03893951946976,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037697698937093783,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.18704084753990174,
+      "num_tokens": 8886995.0,
+      "step": 4875
+    },
+    {
+      "entropy": 5.463095617294312,
+      "epoch": 4.043082021541011,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00037669203642246685,
+      "loss": 5.026,
+      "mean_token_accuracy": 0.18413490056991577,
+      "num_tokens": 8895224.0,
+      "step": 4880
+    },
+    {
+      "entropy": 5.4529016494750975,
+      "epoch": 4.047224523612262,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00037640687835004567,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.1925043895840645,
+      "num_tokens": 8905216.0,
+      "step": 4885
+    },
+    {
+      "entropy": 5.426698875427246,
+      "epoch": 4.051367025683513,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003761215157288692,
+      "loss": 4.9558,
+      "mean_token_accuracy": 0.19299548715353013,
+      "num_tokens": 8915493.0,
+      "step": 4890
+    },
+    {
+      "entropy": 5.362393617630005,
+      "epoch": 4.055509527754764,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00037583594913454514,
+      "loss": 4.925,
+      "mean_token_accuracy": 0.1959809884428978,
+      "num_tokens": 8924740.0,
+      "step": 4895
+    },
+    {
+      "entropy": 5.42564959526062,
+      "epoch": 4.059652029826015,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003755501791430925,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.18527257889509202,
+      "num_tokens": 8934726.0,
+      "step": 4900
+    },
+    {
+      "entropy": 5.448423719406128,
+      "epoch": 4.063794531897266,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00037526420633094044,
+      "loss": 4.9581,
+      "mean_token_accuracy": 0.18748125433921814,
+      "num_tokens": 8944301.0,
+      "step": 4905
+    },
+    {
+      "entropy": 5.449982643127441,
+      "epoch": 4.067937033968517,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037497803127492757,
+      "loss": 4.9881,
+      "mean_token_accuracy": 0.19187170565128325,
+      "num_tokens": 8953967.0,
+      "step": 4910
+    },
+    {
+      "entropy": 5.326543855667114,
+      "epoch": 4.072079536039768,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003746916545523001,
+      "loss": 4.8948,
+      "mean_token_accuracy": 0.19177066087722777,
+      "num_tokens": 8962983.0,
+      "step": 4915
+    },
+    {
+      "entropy": 5.381871175765991,
+      "epoch": 4.076222038111019,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003744050767407113,
+      "loss": 5.0191,
+      "mean_token_accuracy": 0.18154184073209761,
+      "num_tokens": 8972019.0,
+      "step": 4920
+    },
+    {
+      "entropy": 5.40556058883667,
+      "epoch": 4.08036454018227,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0003741182984182198,
+      "loss": 4.901,
+      "mean_token_accuracy": 0.20234887301921844,
+      "num_tokens": 8981751.0,
+      "step": 4925
+    },
+    {
+      "entropy": 5.3616517066955565,
+      "epoch": 4.084507042253521,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003738313201632889,
+      "loss": 4.8923,
+      "mean_token_accuracy": 0.19780989587306977,
+      "num_tokens": 8990330.0,
+      "step": 4930
+    },
+    {
+      "entropy": 5.314311408996582,
+      "epoch": 4.088649544324772,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003735441425547851,
+      "loss": 4.905,
+      "mean_token_accuracy": 0.19072338491678237,
+      "num_tokens": 8998366.0,
+      "step": 4935
+    },
+    {
+      "entropy": 5.290538501739502,
+      "epoch": 4.092792046396023,
+      "grad_norm": 1.828125,
+      "learning_rate": 0.00037325676617197697,
+      "loss": 4.8317,
+      "mean_token_accuracy": 0.20186650305986403,
+      "num_tokens": 9006881.0,
+      "step": 4940
+    },
+    {
+      "entropy": 5.323595571517944,
+      "epoch": 4.096934548467274,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0003729691915945342,
+      "loss": 4.8944,
+      "mean_token_accuracy": 0.19853760153055192,
+      "num_tokens": 9015415.0,
+      "step": 4945
+    },
+    {
+      "entropy": 5.40374059677124,
+      "epoch": 4.1010770505385254,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000372681419402526,
+      "loss": 4.9483,
+      "mean_token_accuracy": 0.19546929001808167,
+      "num_tokens": 9024578.0,
+      "step": 4950
+    },
+    {
+      "entropy": 5.381409311294556,
+      "epoch": 4.105219552609777,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003723934501764203,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.1867024227976799,
+      "num_tokens": 9032637.0,
+      "step": 4955
+    },
+    {
+      "entropy": 5.395318984985352,
+      "epoch": 4.109362054681028,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0003721052844970826,
+      "loss": 4.8913,
+      "mean_token_accuracy": 0.18718749284744263,
+      "num_tokens": 9041513.0,
+      "step": 4960
+    },
+    {
+      "entropy": 5.394489192962647,
+      "epoch": 4.113504556752279,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00037181692294577457,
+      "loss": 4.9155,
+      "mean_token_accuracy": 0.1854037255048752,
+      "num_tokens": 9051024.0,
+      "step": 4965
+    },
+    {
+      "entropy": 5.33848295211792,
+      "epoch": 4.117647058823529,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037152836610415284,
+      "loss": 4.8895,
+      "mean_token_accuracy": 0.19274405539035797,
+      "num_tokens": 9059494.0,
+      "step": 4970
+    },
+    {
+      "entropy": 5.31979193687439,
+      "epoch": 4.12178956089478,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00037123961455426836,
+      "loss": 4.7988,
+      "mean_token_accuracy": 0.19865831583738328,
+      "num_tokens": 9068166.0,
+      "step": 4975
+    },
+    {
+      "entropy": 5.391095542907715,
+      "epoch": 4.125932062966031,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00037095066887856434,
+      "loss": 4.907,
+      "mean_token_accuracy": 0.19333944320678711,
+      "num_tokens": 9077283.0,
+      "step": 4980
+    },
+    {
+      "entropy": 5.3755443572998045,
+      "epoch": 4.130074565037282,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003706615296598758,
+      "loss": 4.9332,
+      "mean_token_accuracy": 0.19493403136730195,
+      "num_tokens": 9086605.0,
+      "step": 4985
+    },
+    {
+      "entropy": 5.301020622253418,
+      "epoch": 4.134217067108533,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003703721974814282,
+      "loss": 4.9169,
+      "mean_token_accuracy": 0.19399153292179108,
+      "num_tokens": 9095567.0,
+      "step": 4990
+    },
+    {
+      "entropy": 5.282594537734985,
+      "epoch": 4.1383595691797845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00037008267292683615,
+      "loss": 4.9012,
+      "mean_token_accuracy": 0.19265301078557967,
+      "num_tokens": 9104457.0,
+      "step": 4995
+    },
+    {
+      "entropy": 5.398877716064453,
+      "epoch": 4.142502071251036,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036979295658010227,
+      "loss": 4.9533,
+      "mean_token_accuracy": 0.20162091553211212,
+      "num_tokens": 9113945.0,
+      "step": 5000
+    },
+    {
+      "epoch": 4.142502071251036,
+      "eval_entropy": 5.273210916946184,
+      "eval_loss": 5.83656120300293,
+      "eval_mean_token_accuracy": 0.15772452866281272,
+      "eval_num_tokens": 9113945.0,
+      "eval_runtime": 2.9415,
+      "eval_samples_per_second": 1273.844,
+      "eval_steps_per_second": 159.443,
+      "step": 5000
+    },
+    {
+      "entropy": 5.424594402313232,
+      "epoch": 4.146644573322287,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003695030490256161,
+      "loss": 5.0303,
+      "mean_token_accuracy": 0.18944208920001984,
+      "num_tokens": 9122996.0,
+      "step": 5005
+    },
+    {
+      "entropy": 5.355675983428955,
+      "epoch": 4.150787075393538,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000369212950848153,
+      "loss": 4.8793,
+      "mean_token_accuracy": 0.1962927296757698,
+      "num_tokens": 9132079.0,
+      "step": 5010
+    },
+    {
+      "entropy": 5.384340238571167,
+      "epoch": 4.154929577464789,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003689226626328725,
+      "loss": 5.0058,
+      "mean_token_accuracy": 0.19004727751016617,
+      "num_tokens": 9141335.0,
+      "step": 5015
+    },
+    {
+      "entropy": 5.442283582687378,
+      "epoch": 4.15907207953604,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00036863218496531767,
+      "loss": 5.0264,
+      "mean_token_accuracy": 0.18990386426448821,
+      "num_tokens": 9150049.0,
+      "step": 5020
+    },
+    {
+      "entropy": 5.409811115264892,
+      "epoch": 4.163214581607291,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003683415184314139,
+      "loss": 4.9057,
+      "mean_token_accuracy": 0.19072521328926087,
+      "num_tokens": 9159245.0,
+      "step": 5025
+    },
+    {
+      "entropy": 5.281745195388794,
+      "epoch": 4.167357083678542,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00036805066361746716,
+      "loss": 4.9432,
+      "mean_token_accuracy": 0.19057238101959229,
+      "num_tokens": 9167892.0,
+      "step": 5030
+    },
+    {
+      "entropy": 5.262811374664307,
+      "epoch": 4.1714995857497925,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036775962111016346,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.19675376862287522,
+      "num_tokens": 9176067.0,
+      "step": 5035
+    },
+    {
+      "entropy": 5.335107898712158,
+      "epoch": 4.175642087821044,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036746839149656734,
+      "loss": 4.9032,
+      "mean_token_accuracy": 0.19636716991662978,
+      "num_tokens": 9185318.0,
+      "step": 5040
+    },
+    {
+      "entropy": 5.338614749908447,
+      "epoch": 4.179784589892295,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003671769753641207,
+      "loss": 4.9605,
+      "mean_token_accuracy": 0.19530149400234223,
+      "num_tokens": 9194885.0,
+      "step": 5045
+    },
+    {
+      "entropy": 5.349650192260742,
+      "epoch": 4.183927091963546,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00036688537330064187,
+      "loss": 4.987,
+      "mean_token_accuracy": 0.19436514377593994,
+      "num_tokens": 9203906.0,
+      "step": 5050
+    },
+    {
+      "entropy": 5.318757629394531,
+      "epoch": 4.188069594034797,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000366593585894324,
+      "loss": 4.8507,
+      "mean_token_accuracy": 0.2013680413365364,
+      "num_tokens": 9213351.0,
+      "step": 5055
+    },
+    {
+      "entropy": 5.347932624816894,
+      "epoch": 4.192212096106048,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003663016137337341,
+      "loss": 4.9278,
+      "mean_token_accuracy": 0.18784158080816268,
+      "num_tokens": 9222191.0,
+      "step": 5060
+    },
+    {
+      "entropy": 5.372864198684693,
+      "epoch": 4.196354598177299,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00036600945740781197,
+      "loss": 4.9668,
+      "mean_token_accuracy": 0.1919815331697464,
+      "num_tokens": 9231517.0,
+      "step": 5065
+    },
+    {
+      "entropy": 5.393643712997436,
+      "epoch": 4.20049710024855,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036571711750586896,
+      "loss": 4.9891,
+      "mean_token_accuracy": 0.19960682690143586,
+      "num_tokens": 9241208.0,
+      "step": 5070
+    },
+    {
+      "entropy": 5.391959381103516,
+      "epoch": 4.204639602319801,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003654245946175864,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19324131309986115,
+      "num_tokens": 9250237.0,
+      "step": 5075
+    },
+    {
+      "entropy": 5.37893590927124,
+      "epoch": 4.2087821043910525,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00036513188933301504,
+      "loss": 5.0399,
+      "mean_token_accuracy": 0.18783097416162492,
+      "num_tokens": 9260273.0,
+      "step": 5080
+    },
+    {
+      "entropy": 5.378773164749146,
+      "epoch": 4.212924606462304,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003648390022425734,
+      "loss": 4.8996,
+      "mean_token_accuracy": 0.19140231609344482,
+      "num_tokens": 9268878.0,
+      "step": 5085
+    },
+    {
+      "entropy": 5.325588417053223,
+      "epoch": 4.217067108533554,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003645459339370468,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19706592857837676,
+      "num_tokens": 9276324.0,
+      "step": 5090
+    },
+    {
+      "entropy": 5.312953901290894,
+      "epoch": 4.221209610604805,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036425268500758594,
+      "loss": 4.9725,
+      "mean_token_accuracy": 0.1936806783080101,
+      "num_tokens": 9285052.0,
+      "step": 5095
+    },
+    {
+      "entropy": 5.354986000061035,
+      "epoch": 4.225352112676056,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036395925604570614,
+      "loss": 4.8763,
+      "mean_token_accuracy": 0.20042537599802018,
+      "num_tokens": 9293324.0,
+      "step": 5100
+    },
+    {
+      "entropy": 5.3900477409362795,
+      "epoch": 4.229494614747307,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003636656476432854,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19263672083616257,
+      "num_tokens": 9302131.0,
+      "step": 5105
+    },
+    {
+      "entropy": 5.263408470153808,
+      "epoch": 4.233637116818558,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003633718603925642,
+      "loss": 4.862,
+      "mean_token_accuracy": 0.19388986378908157,
+      "num_tokens": 9311128.0,
+      "step": 5110
+    },
+    {
+      "entropy": 5.420498418807983,
+      "epoch": 4.237779618889809,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0003630778948861434,
+      "loss": 4.9352,
+      "mean_token_accuracy": 0.1895424723625183,
+      "num_tokens": 9319849.0,
+      "step": 5115
+    },
+    {
+      "entropy": 5.336805248260498,
+      "epoch": 4.2419221209610605,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003627837517169836,
+      "loss": 4.9458,
+      "mean_token_accuracy": 0.18560263216495515,
+      "num_tokens": 9328355.0,
+      "step": 5120
+    },
+    {
+      "entropy": 5.352609777450562,
+      "epoch": 4.246064623032312,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003624894314784037,
+      "loss": 4.9236,
+      "mean_token_accuracy": 0.18928787410259246,
+      "num_tokens": 9337562.0,
+      "step": 5125
+    },
+    {
+      "entropy": 5.323793935775757,
+      "epoch": 4.250207125103563,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003621949347640797,
+      "loss": 4.9315,
+      "mean_token_accuracy": 0.196185165643692,
+      "num_tokens": 9347851.0,
+      "step": 5130
+    },
+    {
+      "entropy": 5.398552274703979,
+      "epoch": 4.254349627174814,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003619002621680439,
+      "loss": 4.9325,
+      "mean_token_accuracy": 0.19673411697149276,
+      "num_tokens": 9356524.0,
+      "step": 5135
+    },
+    {
+      "entropy": 5.4241108894348145,
+      "epoch": 4.258492129246065,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003616054142846829,
+      "loss": 5.0307,
+      "mean_token_accuracy": 0.1882170706987381,
+      "num_tokens": 9365521.0,
+      "step": 5140
+    },
+    {
+      "entropy": 5.301144218444824,
+      "epoch": 4.262634631317316,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003613103917087371,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19470559656620026,
+      "num_tokens": 9374088.0,
+      "step": 5145
+    },
+    {
+      "entropy": 5.345515966415405,
+      "epoch": 4.266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003610151950352994,
+      "loss": 4.9794,
+      "mean_token_accuracy": 0.19499585926532745,
+      "num_tokens": 9382683.0,
+      "step": 5150
+    },
+    {
+      "entropy": 5.306409788131714,
+      "epoch": 4.270919635459817,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0003607198248598137,
+      "loss": 4.9063,
+      "mean_token_accuracy": 0.194849793612957,
+      "num_tokens": 9391790.0,
+      "step": 5155
+    },
+    {
+      "entropy": 5.414876556396484,
+      "epoch": 4.2750621375310685,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003604242817780739,
+      "loss": 4.9901,
+      "mean_token_accuracy": 0.19321189671754838,
+      "num_tokens": 9400234.0,
+      "step": 5160
+    },
+    {
+      "entropy": 5.350374364852906,
+      "epoch": 4.27920463960232,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036012856638622273,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19192621409893035,
+      "num_tokens": 9409513.0,
+      "step": 5165
+    },
+    {
+      "entropy": 5.292260932922363,
+      "epoch": 4.283347141673571,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003598326792807504,
+      "loss": 4.9821,
+      "mean_token_accuracy": 0.18258902430534363,
+      "num_tokens": 9418608.0,
+      "step": 5170
+    },
+    {
+      "entropy": 5.427756977081299,
+      "epoch": 4.287489643744822,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00035953662105849357,
+      "loss": 5.0092,
+      "mean_token_accuracy": 0.19452760964632035,
+      "num_tokens": 9428705.0,
+      "step": 5175
+    },
+    {
+      "entropy": 5.3185462474823,
+      "epoch": 4.291632145816073,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000359240392316634,
+      "loss": 4.9177,
+      "mean_token_accuracy": 0.18542011678218842,
+      "num_tokens": 9438149.0,
+      "step": 5180
+    },
+    {
+      "entropy": 5.330511379241943,
+      "epoch": 4.295774647887324,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003589439936526974,
+      "loss": 4.8709,
+      "mean_token_accuracy": 0.19628295600414275,
+      "num_tokens": 9447566.0,
+      "step": 5185
+    },
+    {
+      "entropy": 5.303903436660766,
+      "epoch": 4.299917149958575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003586474256645525,
+      "loss": 4.9641,
+      "mean_token_accuracy": 0.1915314257144928,
+      "num_tokens": 9458156.0,
+      "step": 5190
+    },
+    {
+      "entropy": 5.410308837890625,
+      "epoch": 4.304059652029826,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035835068895040905,
+      "loss": 5.0014,
+      "mean_token_accuracy": 0.19137390553951264,
+      "num_tokens": 9467388.0,
+      "step": 5195
+    },
+    {
+      "entropy": 5.388073253631592,
+      "epoch": 4.308202154101077,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00035805378410881753,
+      "loss": 4.9642,
+      "mean_token_accuracy": 0.1940509021282196,
+      "num_tokens": 9477515.0,
+      "step": 5200
+    },
+    {
+      "entropy": 5.389194107055664,
+      "epoch": 4.312344656172328,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003577567117386675,
+      "loss": 4.9854,
+      "mean_token_accuracy": 0.1937498316168785,
+      "num_tokens": 9485851.0,
+      "step": 5205
+    },
+    {
+      "entropy": 5.377271747589111,
+      "epoch": 4.3164871582435795,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003574594724391863,
+      "loss": 4.9773,
+      "mean_token_accuracy": 0.18631901144981383,
+      "num_tokens": 9495523.0,
+      "step": 5210
+    },
+    {
+      "entropy": 5.303675985336303,
+      "epoch": 4.32062966031483,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003571620668099382,
+      "loss": 4.9104,
+      "mean_token_accuracy": 0.19740363359451293,
+      "num_tokens": 9504195.0,
+      "step": 5215
+    },
+    {
+      "entropy": 5.377063655853272,
+      "epoch": 4.324772162386081,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003568644954508227,
+      "loss": 4.9616,
+      "mean_token_accuracy": 0.1940310388803482,
+      "num_tokens": 9513313.0,
+      "step": 5220
+    },
+    {
+      "entropy": 5.400073862075805,
+      "epoch": 4.328914664457332,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003565667589620739,
+      "loss": 5.0313,
+      "mean_token_accuracy": 0.18615816980600358,
+      "num_tokens": 9522387.0,
+      "step": 5225
+    },
+    {
+      "entropy": 5.380652332305909,
+      "epoch": 4.333057166528583,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003562688579442588,
+      "loss": 4.9582,
+      "mean_token_accuracy": 0.1893748164176941,
+      "num_tokens": 9531522.0,
+      "step": 5230
+    },
+    {
+      "entropy": 5.349949216842651,
+      "epoch": 4.337199668599834,
+      "grad_norm": 1.6171875,
+      "learning_rate": 0.00035597079299827625,
+      "loss": 4.9875,
+      "mean_token_accuracy": 0.18508986830711366,
+      "num_tokens": 9540248.0,
+      "step": 5235
+    },
+    {
+      "entropy": 5.3083008289337155,
+      "epoch": 4.341342170671085,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035567256472535585,
+      "loss": 4.9192,
+      "mean_token_accuracy": 0.19538334757089615,
+      "num_tokens": 9549850.0,
+      "step": 5240
+    },
+    {
+      "entropy": 5.325525283813477,
+      "epoch": 4.345484672742336,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003553741737270566,
+      "loss": 4.9167,
+      "mean_token_accuracy": 0.19581695050001144,
+      "num_tokens": 9558929.0,
+      "step": 5245
+    },
+    {
+      "entropy": 5.291470670700074,
+      "epoch": 4.3496271748135875,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00035507562060526574,
+      "loss": 4.9163,
+      "mean_token_accuracy": 0.19085376411676408,
+      "num_tokens": 9567627.0,
+      "step": 5250
+    },
+    {
+      "entropy": 5.419774055480957,
+      "epoch": 4.353769676884839,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035477690596219763,
+      "loss": 5.0513,
+      "mean_token_accuracy": 0.18172826021909713,
+      "num_tokens": 9576223.0,
+      "step": 5255
+    },
+    {
+      "entropy": 5.422041416168213,
+      "epoch": 4.35791217895609,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00035447803040039225,
+      "loss": 5.0178,
+      "mean_token_accuracy": 0.1885324940085411,
+      "num_tokens": 9585510.0,
+      "step": 5260
+    },
+    {
+      "entropy": 5.344962453842163,
+      "epoch": 4.362054681027341,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003541789945227143,
+      "loss": 4.9361,
+      "mean_token_accuracy": 0.1920488640666008,
+      "num_tokens": 9594843.0,
+      "step": 5265
+    },
+    {
+      "entropy": 5.401527786254883,
+      "epoch": 4.366197183098592,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00035387979893235184,
+      "loss": 4.9467,
+      "mean_token_accuracy": 0.19816664457321168,
+      "num_tokens": 9604142.0,
+      "step": 5270
+    },
+    {
+      "entropy": 5.339557313919068,
+      "epoch": 4.370339685169842,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003535804442328151,
+      "loss": 4.994,
+      "mean_token_accuracy": 0.197935588657856,
+      "num_tokens": 9613669.0,
+      "step": 5275
+    },
+    {
+      "entropy": 5.395236444473267,
+      "epoch": 4.374482187241093,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00035328093102793506,
+      "loss": 4.9843,
+      "mean_token_accuracy": 0.19234263002872468,
+      "num_tokens": 9623502.0,
+      "step": 5280
+    },
+    {
+      "entropy": 5.377492380142212,
+      "epoch": 4.378624689312344,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035298125992186283,
+      "loss": 4.9784,
+      "mean_token_accuracy": 0.1910512089729309,
+      "num_tokens": 9632041.0,
+      "step": 5285
+    },
+    {
+      "entropy": 5.310422706604004,
+      "epoch": 4.3827671913835955,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00035268143151906764,
+      "loss": 4.9853,
+      "mean_token_accuracy": 0.18939480930566788,
+      "num_tokens": 9641442.0,
+      "step": 5290
+    },
+    {
+      "entropy": 5.356794643402099,
+      "epoch": 4.386909693454847,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00035238144642433616,
+      "loss": 4.956,
+      "mean_token_accuracy": 0.19045386761426925,
+      "num_tokens": 9650857.0,
+      "step": 5295
+    },
+    {
+      "entropy": 5.461606073379516,
+      "epoch": 4.391052195526098,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000352081305242771,
+      "loss": 4.9906,
+      "mean_token_accuracy": 0.1938766911625862,
+      "num_tokens": 9659173.0,
+      "step": 5300
+    },
+    {
+      "entropy": 5.355851411819458,
+      "epoch": 4.395194697597349,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035178100857978994,
+      "loss": 4.9344,
+      "mean_token_accuracy": 0.19574909955263137,
+      "num_tokens": 9668114.0,
+      "step": 5305
+    },
+    {
+      "entropy": 5.261717939376831,
+      "epoch": 4.3993371996686,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00035148055704112405,
+      "loss": 4.9927,
+      "mean_token_accuracy": 0.1930756837129593,
+      "num_tokens": 9676628.0,
+      "step": 5310
+    },
+    {
+      "entropy": 5.305881071090698,
+      "epoch": 4.403479701739851,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003511799512328168,
+      "loss": 4.8897,
+      "mean_token_accuracy": 0.19723279178142547,
+      "num_tokens": 9685801.0,
+      "step": 5315
+    },
+    {
+      "entropy": 5.3678816795349125,
+      "epoch": 4.407622203811102,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003508791917612232,
+      "loss": 4.9677,
+      "mean_token_accuracy": 0.18847441226243972,
+      "num_tokens": 9694237.0,
+      "step": 5320
+    },
+    {
+      "entropy": 5.357159948348999,
+      "epoch": 4.411764705882353,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00035057827923300785,
+      "loss": 4.887,
+      "mean_token_accuracy": 0.1993523895740509,
+      "num_tokens": 9701904.0,
+      "step": 5325
+    },
+    {
+      "entropy": 5.308569765090942,
+      "epoch": 4.415907207953604,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035027721425514414,
+      "loss": 4.8661,
+      "mean_token_accuracy": 0.20139306634664536,
+      "num_tokens": 9710784.0,
+      "step": 5330
+    },
+    {
+      "entropy": 5.310255718231201,
+      "epoch": 4.4200497100248555,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003499759974349131,
+      "loss": 4.9969,
+      "mean_token_accuracy": 0.19186950027942656,
+      "num_tokens": 9720452.0,
+      "step": 5335
+    },
+    {
+      "entropy": 5.335639381408692,
+      "epoch": 4.424192212096106,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00034967462937990194,
+      "loss": 4.9619,
+      "mean_token_accuracy": 0.18502581119537354,
+      "num_tokens": 9729122.0,
+      "step": 5340
+    },
+    {
+      "entropy": 5.414971780776978,
+      "epoch": 4.428334714167357,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000349373110698003,
+      "loss": 5.0216,
+      "mean_token_accuracy": 0.18420466929674148,
+      "num_tokens": 9738756.0,
+      "step": 5345
+    },
+    {
+      "entropy": 5.406450796127319,
+      "epoch": 4.432477216238608,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003490714419974124,
+      "loss": 5.0113,
+      "mean_token_accuracy": 0.1904602199792862,
+      "num_tokens": 9748547.0,
+      "step": 5350
+    },
+    {
+      "entropy": 5.358873558044434,
+      "epoch": 4.436619718309859,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034876962388662885,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.18162461519241332,
+      "num_tokens": 9758421.0,
+      "step": 5355
+    },
+    {
+      "entropy": 5.277571201324463,
+      "epoch": 4.44076222038111,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003484676569744525,
+      "loss": 4.8563,
+      "mean_token_accuracy": 0.19333565086126328,
+      "num_tokens": 9766855.0,
+      "step": 5360
+    },
+    {
+      "entropy": 5.348770189285278,
+      "epoch": 4.444904722452361,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003481655418699836,
+      "loss": 4.9589,
+      "mean_token_accuracy": 0.1960444375872612,
+      "num_tokens": 9776157.0,
+      "step": 5365
+    },
+    {
+      "entropy": 5.279411029815674,
+      "epoch": 4.449047224523612,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00034786327918262126,
+      "loss": 4.8489,
+      "mean_token_accuracy": 0.2087496116757393,
+      "num_tokens": 9784386.0,
+      "step": 5370
+    },
+    {
+      "entropy": 5.354473733901978,
+      "epoch": 4.4531897265948635,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00034756086952206255,
+      "loss": 4.9009,
+      "mean_token_accuracy": 0.1958460658788681,
+      "num_tokens": 9793838.0,
+      "step": 5375
+    },
+    {
+      "entropy": 5.353402185440063,
+      "epoch": 4.457332228666115,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003472583134983005,
+      "loss": 4.9971,
+      "mean_token_accuracy": 0.19221619367599488,
+      "num_tokens": 9802595.0,
+      "step": 5380
+    },
+    {
+      "entropy": 5.384884357452393,
+      "epoch": 4.461474730737366,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00034695561172162396,
+      "loss": 4.9775,
+      "mean_token_accuracy": 0.19024742841720582,
+      "num_tokens": 9811309.0,
+      "step": 5385
+    },
+    {
+      "entropy": 5.2829090595245365,
+      "epoch": 4.465617232808617,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00034665276480261526,
+      "loss": 4.9139,
+      "mean_token_accuracy": 0.1915873184800148,
+      "num_tokens": 9820327.0,
+      "step": 5390
+    },
+    {
+      "entropy": 5.351649951934815,
+      "epoch": 4.469759734879867,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003463497733521499,
+      "loss": 4.9852,
+      "mean_token_accuracy": 0.18354866653680801,
+      "num_tokens": 9829588.0,
+      "step": 5395
+    },
+    {
+      "entropy": 5.42580213546753,
+      "epoch": 4.473902236951118,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003460466379813947,
+      "loss": 4.9887,
+      "mean_token_accuracy": 0.18973219394683838,
+      "num_tokens": 9838548.0,
+      "step": 5400
+    },
+    {
+      "entropy": 5.335280847549439,
+      "epoch": 4.478044739022369,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003457433593018068,
+      "loss": 5.0018,
+      "mean_token_accuracy": 0.18838239908218385,
+      "num_tokens": 9847925.0,
+      "step": 5405
+    },
+    {
+      "entropy": 5.396121597290039,
+      "epoch": 4.48218724109362,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034543993792513243,
+      "loss": 5.0169,
+      "mean_token_accuracy": 0.18753209412097932,
+      "num_tokens": 9856839.0,
+      "step": 5410
+    },
+    {
+      "entropy": 5.37349534034729,
+      "epoch": 4.486329743164871,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003451363744634057,
+      "loss": 4.978,
+      "mean_token_accuracy": 0.19382779747247697,
+      "num_tokens": 9866519.0,
+      "step": 5415
+    },
+    {
+      "entropy": 5.430073976516724,
+      "epoch": 4.4904722452361225,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00034483266952894725,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.19110478311777115,
+      "num_tokens": 9876866.0,
+      "step": 5420
+    },
+    {
+      "entropy": 5.440963220596314,
+      "epoch": 4.494614747307374,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0003445288237343632,
+      "loss": 5.0042,
+      "mean_token_accuracy": 0.1870105817914009,
+      "num_tokens": 9884639.0,
+      "step": 5425
+    },
+    {
+      "entropy": 5.332541465759277,
+      "epoch": 4.498757249378625,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003442248376925436,
+      "loss": 4.9715,
+      "mean_token_accuracy": 0.1879585549235344,
+      "num_tokens": 9893819.0,
+      "step": 5430
+    },
+    {
+      "entropy": 5.251445341110229,
+      "epoch": 4.502899751449876,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00034392071201666167,
+      "loss": 4.9164,
+      "mean_token_accuracy": 0.19130610078573226,
+      "num_tokens": 9902419.0,
+      "step": 5435
+    },
+    {
+      "entropy": 5.390727472305298,
+      "epoch": 4.507042253521127,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000343616447320172,
+      "loss": 4.9565,
+      "mean_token_accuracy": 0.19780462980270386,
+      "num_tokens": 9912434.0,
+      "step": 5440
+    },
+    {
+      "entropy": 5.366470289230347,
+      "epoch": 4.511184755592378,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003433120442168097,
+      "loss": 4.9114,
+      "mean_token_accuracy": 0.193550705909729,
+      "num_tokens": 9921800.0,
+      "step": 5445
+    },
+    {
+      "entropy": 5.316132354736328,
+      "epoch": 4.515327257663629,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034300750332058924,
+      "loss": 4.9803,
+      "mean_token_accuracy": 0.18861733824014665,
+      "num_tokens": 9930863.0,
+      "step": 5450
+    },
+    {
+      "entropy": 5.340768337249756,
+      "epoch": 4.51946975973488,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003427028252458028,
+      "loss": 4.995,
+      "mean_token_accuracy": 0.1959969326853752,
+      "num_tokens": 9940524.0,
+      "step": 5455
+    },
+    {
+      "entropy": 5.398335361480713,
+      "epoch": 4.5236122618061305,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.0003423980106070194,
+      "loss": 4.98,
+      "mean_token_accuracy": 0.18993111699819565,
+      "num_tokens": 9948949.0,
+      "step": 5460
+    },
+    {
+      "entropy": 5.363409519195557,
+      "epoch": 4.527754763877382,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003420930600190834,
+      "loss": 5.0007,
+      "mean_token_accuracy": 0.18487946093082427,
+      "num_tokens": 9958154.0,
+      "step": 5465
+    },
+    {
+      "entropy": 5.353360748291015,
+      "epoch": 4.531897265948633,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003417879740971135,
+      "loss": 4.8917,
+      "mean_token_accuracy": 0.19643958359956742,
+      "num_tokens": 9967023.0,
+      "step": 5470
+    },
+    {
+      "entropy": 5.392623519897461,
+      "epoch": 4.536039768019884,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003414827534565014,
+      "loss": 4.9908,
+      "mean_token_accuracy": 0.18982938379049302,
+      "num_tokens": 9976596.0,
+      "step": 5475
+    },
+    {
+      "entropy": 5.358148193359375,
+      "epoch": 4.540182270091135,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00034117739871291036,
+      "loss": 4.8992,
+      "mean_token_accuracy": 0.19934887886047364,
+      "num_tokens": 9985330.0,
+      "step": 5480
+    },
+    {
+      "entropy": 5.35659613609314,
+      "epoch": 4.544324772162386,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00034087191048227445,
+      "loss": 5.032,
+      "mean_token_accuracy": 0.1861831620335579,
+      "num_tokens": 9996053.0,
+      "step": 5485
+    },
+    {
+      "entropy": 5.335864496231079,
+      "epoch": 4.548467274233637,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003405662893807967,
+      "loss": 4.9445,
+      "mean_token_accuracy": 0.1877502605319023,
+      "num_tokens": 10005517.0,
+      "step": 5490
+    },
+    {
+      "entropy": 5.389253044128418,
+      "epoch": 4.552609776304888,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003402605360249482,
+      "loss": 5.0416,
+      "mean_token_accuracy": 0.18830080330371857,
+      "num_tokens": 10014354.0,
+      "step": 5495
+    },
+    {
+      "entropy": 5.3128773212432865,
+      "epoch": 4.556752278376139,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000339954651031467,
+      "loss": 4.9238,
+      "mean_token_accuracy": 0.19178629368543626,
+      "num_tokens": 10023194.0,
+      "step": 5500
+    },
+    {
+      "epoch": 4.556752278376139,
+      "eval_entropy": 5.195640559898003,
+      "eval_loss": 5.80400276184082,
+      "eval_mean_token_accuracy": 0.15982486544323882,
+      "eval_num_tokens": 10023194.0,
+      "eval_runtime": 2.7416,
+      "eval_samples_per_second": 1366.696,
+      "eval_steps_per_second": 171.065,
+      "step": 5500
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 12060,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.494574602624e+16,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}
diff --git a/checkpoint-5500/training_args.bin b/checkpoint-5500/training_args.bin
new file mode 100644
index 0000000..47a7b32
--- /dev/null
+++ b/checkpoint-5500/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e406e906697be5d5c4bea7f90a038122ca162eb6b7e40512a32661ef55af9075
+size 6353
diff --git a/checkpoint-6000/added_tokens.json b/checkpoint-6000/added_tokens.json
new file mode 100644
index 0000000..b3dbcdb
--- /dev/null
+++ b/checkpoint-6000/added_tokens.json
@@ -0,0 +1,1202 @@
+{
+  "<pad>": 50002,
+  "[CLS]": 50000,
+  "[MASK]": 50003,
+  "[SEP]": 50001,
+  "[XXXXX0]": 50771,
+  "[XXXXX1000]": 50549,
+  "[XXXXX1001]": 50657,
+  "[XXXXX1002]": 51158,
+  "[XXXXX1003]": 51044,
+  "[XXXXX1004]": 50688,
+  "[XXXXX1005]": 50689,
+  "[XXXXX1006]": 50410,
+  "[XXXXX1007]": 50724,
+  "[XXXXX1008]": 50171,
+  "[XXXXX1009]": 51077,
+  "[XXXXX100]": 50091,
+  "[XXXXX1010]": 50639,
+  "[XXXXX1011]": 51094,
+  "[XXXXX1012]": 50392,
+  "[XXXXX1013]": 50626,
+  "[XXXXX1014]": 50991,
+  "[XXXXX1015]": 50529,
+  "[XXXXX1016]": 51193,
+  "[XXXXX1017]": 51073,
+  "[XXXXX1018]": 51104,
+  "[XXXXX1019]": 50775,
+  "[XXXXX101]": 50139,
+  "[XXXXX1020]": 50157,
+  "[XXXXX1021]": 50934,
+  "[XXXXX1022]": 51159,
+  "[XXXXX1023]": 50048,
+  "[XXXXX1024]": 51123,
+  "[XXXXX1025]": 50084,
+  "[XXXXX1026]": 50813,
+  "[XXXXX1027]": 50725,
+  "[XXXXX1028]": 50931,
+  "[XXXXX1029]": 50233,
+  "[XXXXX102]": 50213,
+  "[XXXXX1030]": 51023,
+  "[XXXXX1031]": 50098,
+  "[XXXXX1032]": 50802,
+  "[XXXXX1033]": 50061,
+  "[XXXXX1034]": 51139,
+  "[XXXXX1035]": 51110,
+  "[XXXXX1036]": 50204,
+  "[XXXXX1037]": 50023,
+  "[XXXXX1038]": 50142,
+  "[XXXXX1039]": 50328,
+  "[XXXXX103]": 50087,
+  "[XXXXX1040]": 50435,
+  "[XXXXX1041]": 50489,
+  "[XXXXX1042]": 50216,
+  "[XXXXX1043]": 50144,
+  "[XXXXX1044]": 50832,
+  "[XXXXX1045]": 50566,
+  "[XXXXX1046]": 50922,
+  "[XXXXX1047]": 50796,
+  "[XXXXX1048]": 50533,
+  "[XXXXX1049]": 50433,
+  "[XXXXX104]": 50478,
+  "[XXXXX1050]": 50953,
+  "[XXXXX1051]": 50497,
+  "[XXXXX1052]": 50655,
+  "[XXXXX1053]": 50881,
+  "[XXXXX1054]": 50461,
+  "[XXXXX1055]": 50052,
+  "[XXXXX1056]": 50219,
+  "[XXXXX1057]": 50789,
+  "[XXXXX1058]": 50121,
+  "[XXXXX1059]": 51002,
+  "[XXXXX105]": 51192,
+  "[XXXXX1060]": 50158,
+  "[XXXXX1061]": 50352,
+  "[XXXXX1062]": 50637,
+  "[XXXXX1063]": 50440,
+  "[XXXXX1064]": 50590,
+  "[XXXXX1065]": 51107,
+  "[XXXXX1066]": 50758,
+  "[XXXXX1067]": 51011,
+  "[XXXXX1068]": 50985,
+  "[XXXXX1069]": 51175,
+  "[XXXXX106]": 50532,
+  "[XXXXX1070]": 50790,
+  "[XXXXX1071]": 50394,
+  "[XXXXX1072]": 50852,
+  "[XXXXX1073]": 50869,
+  "[XXXXX1074]": 50126,
+  "[XXXXX1075]": 50783,
+  "[XXXXX1076]": 50806,
+  "[XXXXX1077]": 50882,
+  "[XXXXX1078]": 50726,
+  "[XXXXX1079]": 51010,
+  "[XXXXX107]": 50714,
+  "[XXXXX1080]": 50168,
+  "[XXXXX1081]": 50425,
+  "[XXXXX1082]": 50848,
+  "[XXXXX1083]": 50014,
+  "[XXXXX1084]": 50341,
+  "[XXXXX1085]": 50734,
+  "[XXXXX1086]": 50664,
+  "[XXXXX1087]": 51007,
+  "[XXXXX1088]": 51151,
+  "[XXXXX1089]": 50269,
+  "[XXXXX108]": 50996,
+  "[XXXXX1090]": 50826,
+  "[XXXXX1091]": 51105,
+  "[XXXXX1092]": 50731,
+  "[XXXXX1093]": 50856,
+  "[XXXXX1094]": 50369,
+  "[XXXXX1095]": 50065,
+  "[XXXXX1096]": 50309,
+  "[XXXXX1097]": 50838,
+  "[XXXXX1098]": 50451,
+  "[XXXXX1099]": 50384,
+  "[XXXXX109]": 50543,
+  "[XXXXX10]": 50325,
+  "[XXXXX1100]": 50318,
+  "[XXXXX1101]": 50764,
+  "[XXXXX1102]": 51025,
+  "[XXXXX1103]": 50642,
+  "[XXXXX1104]": 50665,
+  "[XXXXX1105]": 50855,
+  "[XXXXX1106]": 51063,
+  "[XXXXX1107]": 50025,
+  "[XXXXX1108]": 50122,
+  "[XXXXX1109]": 50470,
+  "[XXXXX110]": 50062,
+  "[XXXXX1110]": 51019,
+  "[XXXXX1111]": 51124,
+  "[XXXXX1112]": 50146,
+  "[XXXXX1113]": 51125,
+  "[XXXXX1114]": 50434,
+  "[XXXXX1115]": 50818,
+  "[XXXXX1116]": 50960,
+  "[XXXXX1117]": 50258,
+  "[XXXXX1118]": 50596,
+  "[XXXXX1119]": 50083,
+  "[XXXXX111]": 51064,
+  "[XXXXX1120]": 50915,
+  "[XXXXX1121]": 50835,
+  "[XXXXX1122]": 51056,
+  "[XXXXX1123]": 50172,
+  "[XXXXX1124]": 50972,
+  "[XXXXX1125]": 50275,
+  "[XXXXX1126]": 50430,
+  "[XXXXX1127]": 50743,
+  "[XXXXX1128]": 50551,
+  "[XXXXX1129]": 50439,
+  "[XXXXX112]": 50819,
+  "[XXXXX1130]": 50536,
+  "[XXXXX1131]": 50622,
+  "[XXXXX1132]": 50623,
+  "[XXXXX1133]": 50117,
+  "[XXXXX1134]": 50251,
+  "[XXXXX1135]": 50678,
+  "[XXXXX1136]": 50316,
+  "[XXXXX1137]": 50905,
+  "[XXXXX1138]": 50992,
+  "[XXXXX1139]": 50851,
+  "[XXXXX113]": 50443,
+  "[XXXXX1140]": 50499,
+  "[XXXXX1141]": 50629,
+  "[XXXXX1142]": 50944,
+  "[XXXXX1143]": 50373,
+  "[XXXXX1144]": 50123,
+  "[XXXXX1145]": 50173,
+  "[XXXXX1146]": 50891,
+  "[XXXXX1147]": 50471,
+  "[XXXXX1148]": 50560,
+  "[XXXXX1149]": 50541,
+  "[XXXXX114]": 50631,
+  "[XXXXX1150]": 50033,
+  "[XXXXX1151]": 50063,
+  "[XXXXX1152]": 50767,
+  "[XXXXX1153]": 50897,
+  "[XXXXX1154]": 50568,
+  "[XXXXX1155]": 51131,
+  "[XXXXX1156]": 50009,
+  "[XXXXX1157]": 50417,
+  "[XXXXX1158]": 50477,
+  "[XXXXX1159]": 50941,
+  "[XXXXX115]": 50294,
+  "[XXXXX1160]": 50679,
+  "[XXXXX1161]": 51108,
+  "[XXXXX1162]": 50332,
+  "[XXXXX1163]": 50424,
+  "[XXXXX1164]": 50473,
+  "[XXXXX1165]": 50793,
+  "[XXXXX1166]": 50453,
+  "[XXXXX1167]": 50807,
+  "[XXXXX1168]": 50128,
+  "[XXXXX1169]": 50039,
+  "[XXXXX116]": 50759,
+  "[XXXXX1170]": 50735,
+  "[XXXXX1171]": 50366,
+  "[XXXXX1172]": 50808,
+  "[XXXXX1173]": 50426,
+  "[XXXXX1174]": 50076,
+  "[XXXXX1175]": 50943,
+  "[XXXXX1176]": 50252,
+  "[XXXXX1177]": 50999,
+  "[XXXXX1178]": 50264,
+  "[XXXXX1179]": 50607,
+  "[XXXXX117]": 51036,
+  "[XXXXX1180]": 50986,
+  "[XXXXX1181]": 50744,
+  "[XXXXX1182]": 50186,
+  "[XXXXX1183]": 50555,
+  "[XXXXX1184]": 51076,
+  "[XXXXX1185]": 50849,
+  "[XXXXX1186]": 51128,
+  "[XXXXX1187]": 50858,
+  "[XXXXX1188]": 50656,
+  "[XXXXX1189]": 50064,
+  "[XXXXX118]": 50081,
+  "[XXXXX1190]": 51197,
+  "[XXXXX1191]": 50104,
+  "[XXXXX1192]": 50045,
+  "[XXXXX1193]": 50404,
+  "[XXXXX1194]": 50690,
+  "[XXXXX1195]": 50495,
+  "[XXXXX119]": 50108,
+  "[XXXXX11]": 50976,
+  "[XXXXX120]": 51081,
+  "[XXXXX121]": 50464,
+  "[XXXXX122]": 50829,
+  "[XXXXX123]": 50766,
+  "[XXXXX124]": 50732,
+  "[XXXXX125]": 50221,
+  "[XXXXX126]": 50810,
+  "[XXXXX127]": 50130,
+  "[XXXXX128]": 50751,
+  "[XXXXX129]": 50662,
+  "[XXXXX12]": 50602,
+  "[XXXXX130]": 50035,
+  "[XXXXX131]": 50715,
+  "[XXXXX132]": 50340,
+  "[XXXXX133]": 50563,
+  "[XXXXX134]": 50993,
+  "[XXXXX135]": 50304,
+  "[XXXXX136]": 50131,
+  "[XXXXX137]": 50578,
+  "[XXXXX138]": 50757,
+  "[XXXXX139]": 50582,
+  "[XXXXX13]": 50105,
+  "[XXXXX140]": 50085,
+  "[XXXXX141]": 50553,
+  "[XXXXX142]": 50749,
+  "[XXXXX143]": 50351,
+  "[XXXXX144]": 51024,
+  "[XXXXX145]": 51144,
+  "[XXXXX146]": 50042,
+  "[XXXXX147]": 50145,
+  "[XXXXX148]": 50066,
+  "[XXXXX149]": 50876,
+  "[XXXXX14]": 51006,
+  "[XXXXX150]": 50280,
+  "[XXXXX151]": 50093,
+  "[XXXXX152]": 50638,
+  "[XXXXX153]": 50684,
+  "[XXXXX154]": 50820,
+  "[XXXXX155]": 51196,
+  "[XXXXX156]": 50317,
+  "[XXXXX157]": 50284,
+  "[XXXXX158]": 50288,
+  "[XXXXX159]": 50814,
+  "[XXXXX15]": 50608,
+  "[XXXXX160]": 50004,
+  "[XXXXX161]": 50008,
+  "[XXXXX162]": 50377,
+  "[XXXXX163]": 50214,
+  "[XXXXX164]": 50708,
+  "[XXXXX165]": 50390,
+  "[XXXXX166]": 50741,
+  "[XXXXX167]": 50445,
+  "[XXXXX168]": 50936,
+  "[XXXXX169]": 50896,
+  "[XXXXX16]": 50442,
+  "[XXXXX170]": 50109,
+  "[XXXXX171]": 50140,
+  "[XXXXX172]": 50427,
+  "[XXXXX173]": 51074,
+  "[XXXXX174]": 50162,
+  "[XXXXX175]": 51015,
+  "[XXXXX176]": 50524,
+  "[XXXXX177]": 50673,
+  "[XXXXX178]": 50054,
+  "[XXXXX179]": 50805,
+  "[XXXXX17]": 50482,
+  "[XXXXX180]": 50253,
+  "[XXXXX181]": 50493,
+  "[XXXXX182]": 50421,
+  "[XXXXX183]": 51050,
+  "[XXXXX184]": 50521,
+  "[XXXXX185]": 50188,
+  "[XXXXX186]": 50147,
+  "[XXXXX187]": 50201,
+  "[XXXXX188]": 50973,
+  "[XXXXX189]": 50409,
+  "[XXXXX18]": 50115,
+  "[XXXXX190]": 50051,
+  "[XXXXX191]": 51020,
+  "[XXXXX192]": 51047,
+  "[XXXXX193]": 50669,
+  "[XXXXX194]": 50643,
+  "[XXXXX195]": 50159,
+  "[XXXXX196]": 50649,
+  "[XXXXX197]": 51178,
+  "[XXXXX198]": 50043,
+  "[XXXXX199]": 51147,
+  "[XXXXX19]": 51127,
+  "[XXXXX1]": 51114,
+  "[XXXXX200]": 50840,
+  "[XXXXX201]": 50365,
+  "[XXXXX202]": 50232,
+  "[XXXXX203]": 50241,
+  "[XXXXX204]": 50548,
+  "[XXXXX205]": 50781,
+  "[XXXXX206]": 50923,
+  "[XXXXX207]": 51115,
+  "[XXXXX208]": 50344,
+  "[XXXXX209]": 50299,
+  "[XXXXX20]": 51031,
+  "[XXXXX210]": 51179,
+  "[XXXXX211]": 51163,
+  "[XXXXX212]": 50562,
+  "[XXXXX213]": 50094,
+  "[XXXXX214]": 50257,
+  "[XXXXX215]": 50967,
+  "[XXXXX216]": 50523,
+  "[XXXXX217]": 51132,
+  "[XXXXX218]": 51146,
+  "[XXXXX219]": 50411,
+  "[XXXXX21]": 50354,
+  "[XXXXX220]": 50853,
+  "[XXXXX221]": 50886,
+  "[XXXXX222]": 50600,
+  "[XXXXX223]": 50873,
+  "[XXXXX224]": 50416,
+  "[XXXXX225]": 50675,
+  "[XXXXX226]": 50583,
+  "[XXXXX227]": 50151,
+  "[XXXXX228]": 50927,
+  "[XXXXX229]": 50609,
+  "[XXXXX22]": 50589,
+  "[XXXXX230]": 50238,
+  "[XXXXX231]": 50242,
+  "[XXXXX232]": 51016,
+  "[XXXXX233]": 50406,
+  "[XXXXX234]": 50908,
+  "[XXXXX235]": 50024,
+  "[XXXXX236]": 50270,
+  "[XXXXX237]": 50132,
+  "[XXXXX238]": 50800,
+  "[XXXXX239]": 50236,
+  "[XXXXX23]": 50007,
+  "[XXXXX240]": 50005,
+  "[XXXXX241]": 50894,
+  "[XXXXX242]": 50694,
+  "[XXXXX243]": 51071,
+  "[XXXXX244]": 51017,
+  "[XXXXX245]": 50068,
+  "[XXXXX246]": 50682,
+  "[XXXXX247]": 50913,
+  "[XXXXX248]": 51028,
+  "[XXXXX249]": 50037,
+  "[XXXXX24]": 51169,
+  "[XXXXX250]": 50747,
+  "[XXXXX251]": 50947,
+  "[XXXXX252]": 50329,
+  "[XXXXX253]": 50612,
+  "[XXXXX254]": 50110,
+  "[XXXXX255]": 50824,
+  "[XXXXX256]": 50558,
+  "[XXXXX257]": 50969,
+  "[XXXXX258]": 50729,
+  "[XXXXX259]": 50125,
+  "[XXXXX25]": 51160,
+  "[XXXXX260]": 50040,
+  "[XXXXX261]": 51038,
+  "[XXXXX262]": 50347,
+  "[XXXXX263]": 50740,
+  "[XXXXX264]": 51195,
+  "[XXXXX265]": 50879,
+  "[XXXXX266]": 50770,
+  "[XXXXX267]": 50178,
+  "[XXXXX268]": 50804,
+  "[XXXXX269]": 50906,
+  "[XXXXX26]": 50150,
+  "[XXXXX270]": 51191,
+  "[XXXXX271]": 50047,
+  "[XXXXX272]": 50195,
+  "[XXXXX273]": 50554,
+  "[XXXXX274]": 50833,
+  "[XXXXX275]": 50346,
+  "[XXXXX276]": 50950,
+  "[XXXXX277]": 50864,
+  "[XXXXX278]": 50259,
+  "[XXXXX279]": 50671,
+  "[XXXXX27]": 50468,
+  "[XXXXX280]": 50082,
+  "[XXXXX281]": 50565,
+  "[XXXXX282]": 50984,
+  "[XXXXX283]": 50650,
+  "[XXXXX284]": 50975,
+  "[XXXXX285]": 50603,
+  "[XXXXX286]": 50027,
+  "[XXXXX287]": 50181,
+  "[XXXXX288]": 50981,
+  "[XXXXX289]": 50885,
+  "[XXXXX28]": 50249,
+  "[XXXXX290]": 50522,
+  "[XXXXX291]": 50050,
+  "[XXXXX292]": 50313,
+  "[XXXXX293]": 50503,
+  "[XXXXX294]": 51176,
+  "[XXXXX295]": 51177,
+  "[XXXXX296]": 50379,
+  "[XXXXX297]": 50635,
+  "[XXXXX298]": 50723,
+  "[XXXXX299]": 50200,
+  "[XXXXX29]": 50892,
+  "[XXXXX2]": 51119,
+  "[XXXXX300]": 51026,
+  "[XXXXX301]": 50528,
+  "[XXXXX302]": 51149,
+  "[XXXXX303]": 50044,
+  "[XXXXX304]": 50209,
+  "[XXXXX305]": 50988,
+  "[XXXXX306]": 50518,
+  "[XXXXX307]": 50088,
+  "[XXXXX308]": 50733,
+  "[XXXXX309]": 51066,
+  "[XXXXX30]": 50506,
+  "[XXXXX310]": 50285,
+  "[XXXXX311]": 50859,
+  "[XXXXX312]": 50263,
+  "[XXXXX313]": 50594,
+  "[XXXXX314]": 51103,
+  "[XXXXX315]": 50871,
+  "[XXXXX316]": 50300,
+  "[XXXXX317]": 50760,
+  "[XXXXX318]": 50055,
+  "[XXXXX319]": 50389,
+  "[XXXXX31]": 50212,
+  "[XXXXX320]": 50444,
+  "[XXXXX321]": 50994,
+  "[XXXXX322]": 50281,
+  "[XXXXX323]": 50179,
+  "[XXXXX324]": 50455,
+  "[XXXXX325]": 50970,
+  "[XXXXX326]": 50666,
+  "[XXXXX327]": 50604,
+  "[XXXXX328]": 50627,
+  "[XXXXX329]": 50475,
+  "[XXXXX32]": 50277,
+  "[XXXXX330]": 50667,
+  "[XXXXX331]": 50348,
+  "[XXXXX332]": 50772,
+  "[XXXXX333]": 50163,
+  "[XXXXX334]": 50569,
+  "[XXXXX335]": 50018,
+  "[XXXXX336]": 50883,
+  "[XXXXX337]": 50067,
+  "[XXXXX338]": 51184,
+  "[XXXXX339]": 50997,
+  "[XXXXX33]": 50403,
+  "[XXXXX340]": 51013,
+  "[XXXXX341]": 50957,
+  "[XXXXX342]": 51106,
+  "[XXXXX343]": 51174,
+  "[XXXXX344]": 50391,
+  "[XXXXX345]": 50948,
+  "[XXXXX346]": 50180,
+  "[XXXXX347]": 50811,
+  "[XXXXX348]": 50401,
+  "[XXXXX349]": 50911,
+  "[XXXXX34]": 50223,
+  "[XXXXX350]": 51089,
+  "[XXXXX351]": 50777,
+  "[XXXXX352]": 50189,
+  "[XXXXX353]": 50492,
+  "[XXXXX354]": 50205,
+  "[XXXXX355]": 50374,
+  "[XXXXX356]": 51152,
+  "[XXXXX357]": 50695,
+  "[XXXXX358]": 51117,
+  "[XXXXX359]": 50573,
+  "[XXXXX35]": 50752,
+  "[XXXXX360]": 50955,
+  "[XXXXX361]": 50349,
+  "[XXXXX362]": 51137,
+  "[XXXXX363]": 50641,
+  "[XXXXX364]": 51148,
+  "[XXXXX365]": 50255,
+  "[XXXXX366]": 50310,
+  "[XXXXX367]": 50314,
+  "[XXXXX368]": 50971,
+  "[XXXXX369]": 50916,
+  "[XXXXX36]": 50437,
+  "[XXXXX370]": 51096,
+  "[XXXXX371]": 50557,
+  "[XXXXX372]": 51095,
+  "[XXXXX373]": 50382,
+  "[XXXXX374]": 50119,
+  "[XXXXX375]": 50958,
+  "[XXXXX376]": 50624,
+  "[XXXXX377]": 50483,
+  "[XXXXX378]": 50605,
+  "[XXXXX379]": 50017,
+  "[XXXXX37]": 50706,
+  "[XXXXX380]": 50246,
+  "[XXXXX381]": 50588,
+  "[XXXXX382]": 51008,
+  "[XXXXX383]": 50801,
+  "[XXXXX384]": 50290,
+  "[XXXXX385]": 50899,
+  "[XXXXX386]": 50206,
+  "[XXXXX387]": 50716,
+  "[XXXXX388]": 51082,
+  "[XXXXX389]": 50177,
+  "[XXXXX38]": 50736,
+  "[XXXXX390]": 50282,
+  "[XXXXX391]": 51183,
+  "[XXXXX392]": 50286,
+  "[XXXXX393]": 50659,
+  "[XXXXX394]": 50378,
+  "[XXXXX395]": 50709,
+  "[XXXXX396]": 50028,
+  "[XXXXX397]": 50235,
+  "[XXXXX398]": 51014,
+  "[XXXXX399]": 50880,
+  "[XXXXX39]": 50305,
+  "[XXXXX3]": 50077,
+  "[XXXXX400]": 50155,
+  "[XXXXX401]": 50710,
+  "[XXXXX402]": 50507,
+  "[XXXXX403]": 50860,
+  "[XXXXX404]": 50661,
+  "[XXXXX405]": 51083,
+  "[XXXXX406]": 50888,
+  "[XXXXX407]": 50069,
+  "[XXXXX408]": 50691,
+  "[XXXXX409]": 51055,
+  "[XXXXX40]": 50337,
+  "[XXXXX410]": 50137,
+  "[XXXXX411]": 50791,
+  "[XXXXX412]": 50136,
+  "[XXXXX413]": 50730,
+  "[XXXXX414]": 50267,
+  "[XXXXX415]": 50012,
+  "[XXXXX416]": 50681,
+  "[XXXXX417]": 50942,
+  "[XXXXX418]": 50720,
+  "[XXXXX419]": 50844,
+  "[XXXXX41]": 50387,
+  "[XXXXX420]": 50111,
+  "[XXXXX421]": 51003,
+  "[XXXXX422]": 50785,
+  "[XXXXX423]": 50149,
+  "[XXXXX424]": 50422,
+  "[XXXXX425]": 51086,
+  "[XXXXX426]": 50862,
+  "[XXXXX427]": 50576,
+  "[XXXXX428]": 51049,
+  "[XXXXX429]": 50630,
+  "[XXXXX42]": 50799,
+  "[XXXXX430]": 50289,
+  "[XXXXX431]": 50184,
+  "[XXXXX432]": 50319,
+  "[XXXXX433]": 51116,
+  "[XXXXX434]": 50519,
+  "[XXXXX435]": 50496,
+  "[XXXXX436]": 50517,
+  "[XXXXX437]": 50865,
+  "[XXXXX438]": 50737,
+  "[XXXXX439]": 50356,
+  "[XXXXX43]": 50359,
+  "[XXXXX440]": 50898,
+  "[XXXXX441]": 50113,
+  "[XXXXX442]": 50527,
+  "[XXXXX443]": 50762,
+  "[XXXXX444]": 50540,
+  "[XXXXX445]": 50925,
+  "[XXXXX446]": 50711,
+  "[XXXXX447]": 50143,
+  "[XXXXX448]": 51170,
+  "[XXXXX449]": 50413,
+  "[XXXXX44]": 50097,
+  "[XXXXX450]": 50375,
+  "[XXXXX451]": 50846,
+  "[XXXXX452]": 50217,
+  "[XXXXX453]": 50699,
+  "[XXXXX454]": 50412,
+  "[XXXXX455]": 50418,
+  "[XXXXX456]": 51143,
+  "[XXXXX457]": 51141,
+  "[XXXXX458]": 51157,
+  "[XXXXX459]": 50825,
+  "[XXXXX45]": 50203,
+  "[XXXXX460]": 50194,
+  "[XXXXX461]": 50148,
+  "[XXXXX462]": 50276,
+  "[XXXXX463]": 50271,
+  "[XXXXX464]": 50836,
+  "[XXXXX465]": 50854,
+  "[XXXXX466]": 50164,
+  "[XXXXX467]": 50484,
+  "[XXXXX468]": 51097,
+  "[XXXXX469]": 50182,
+  "[XXXXX46]": 50505,
+  "[XXXXX470]": 50670,
+  "[XXXXX471]": 50595,
+  "[XXXXX472]": 50237,
+  "[XXXXX473]": 50057,
+  "[XXXXX474]": 50431,
+  "[XXXXX475]": 50738,
+  "[XXXXX476]": 51145,
+  "[XXXXX477]": 50247,
+  "[XXXXX478]": 50029,
+  "[XXXXX479]": 50917,
+  "[XXXXX47]": 50579,
+  "[XXXXX480]": 50702,
+  "[XXXXX481]": 50831,
+  "[XXXXX482]": 50753,
+  "[XXXXX483]": 50598,
+  "[XXXXX484]": 51136,
+  "[XXXXX485]": 50092,
+  "[XXXXX486]": 50202,
+  "[XXXXX487]": 50106,
+  "[XXXXX488]": 50924,
+  "[XXXXX489]": 51113,
+  "[XXXXX48]": 50842,
+  "[XXXXX490]": 50761,
+  "[XXXXX491]": 50577,
+  "[XXXXX492]": 50692,
+  "[XXXXX493]": 51130,
+  "[XXXXX494]": 50932,
+  "[XXXXX495]": 50837,
+  "[XXXXX496]": 50893,
+  "[XXXXX497]": 50773,
+  "[XXXXX498]": 50360,
+  "[XXXXX499]": 50900,
+  "[XXXXX49]": 51062,
+  "[XXXXX4]": 50396,
+  "[XXXXX500]": 51034,
+  "[XXXXX501]": 50472,
+  "[XXXXX502]": 50660,
+  "[XXXXX503]": 50815,
+  "[XXXXX504]": 50939,
+  "[XXXXX505]": 50419,
+  "[XXXXX506]": 50324,
+  "[XXXXX507]": 50428,
+  "[XXXXX508]": 50274,
+  "[XXXXX509]": 50311,
+  "[XXXXX50]": 50459,
+  "[XXXXX510]": 50674,
+  "[XXXXX511]": 50580,
+  "[XXXXX512]": 50956,
+  "[XXXXX513]": 50165,
+  "[XXXXX514]": 50320,
+  "[XXXXX515]": 50648,
+  "[XXXXX516]": 50386,
+  "[XXXXX517]": 50058,
+  "[XXXXX518]": 51045,
+  "[XXXXX519]": 50103,
+  "[XXXXX51]": 50979,
+  "[XXXXX520]": 50530,
+  "[XXXXX521]": 50907,
+  "[XXXXX522]": 50260,
+  "[XXXXX523]": 50632,
+  "[XXXXX524]": 50926,
+  "[XXXXX525]": 50687,
+  "[XXXXX526]": 50160,
+  "[XXXXX527]": 51053,
+  "[XXXXX528]": 50652,
+  "[XXXXX529]": 51041,
+  "[XXXXX52]": 50272,
+  "[XXXXX530]": 51111,
+  "[XXXXX531]": 51009,
+  "[XXXXX532]": 51079,
+  "[XXXXX533]": 50487,
+  "[XXXXX534]": 51059,
+  "[XXXXX535]": 50335,
+  "[XXXXX536]": 50380,
+  "[XXXXX537]": 50301,
+  "[XXXXX538]": 51067,
+  "[XXXXX539]": 51052,
+  "[XXXXX53]": 51048,
+  "[XXXXX540]": 50822,
+  "[XXXXX541]": 51040,
+  "[XXXXX542]": 50490,
+  "[XXXXX543]": 50448,
+  "[XXXXX544]": 50812,
+  "[XXXXX545]": 50099,
+  "[XXXXX546]": 51199,
+  "[XXXXX547]": 50226,
+  "[XXXXX548]": 50538,
+  "[XXXXX549]": 50342,
+  "[XXXXX54]": 50701,
+  "[XXXXX550]": 50544,
+  "[XXXXX551]": 50398,
+  "[XXXXX552]": 51102,
+  "[XXXXX553]": 50919,
+  "[XXXXX554]": 50615,
+  "[XXXXX555]": 50769,
+  "[XXXXX556]": 50940,
+  "[XXXXX557]": 50070,
+  "[XXXXX558]": 50680,
+  "[XXXXX559]": 50611,
+  "[XXXXX55]": 50574,
+  "[XXXXX560]": 50381,
+  "[XXXXX561]": 50350,
+  "[XXXXX562]": 50175,
+  "[XXXXX563]": 50584,
+  "[XXXXX564]": 50703,
+  "[XXXXX565]": 50989,
+  "[XXXXX566]": 50877,
+  "[XXXXX567]": 51039,
+  "[XXXXX568]": 51018,
+  "[XXXXX569]": 50452,
+  "[XXXXX56]": 51099,
+  "[XXXXX570]": 50161,
+  "[XXXXX571]": 50921,
+  "[XXXXX572]": 50676,
+  "[XXXXX573]": 50326,
+  "[XXXXX574]": 50987,
+  "[XXXXX575]": 50361,
+  "[XXXXX576]": 50071,
+  "[XXXXX577]": 50803,
+  "[XXXXX578]": 50400,
+  "[XXXXX579]": 51091,
+  "[XXXXX57]": 50501,
+  "[XXXXX580]": 50887,
+  "[XXXXX581]": 50839,
+  "[XXXXX582]": 51138,
+  "[XXXXX583]": 50816,
+  "[XXXXX584]": 50339,
+  "[XXXXX585]": 50463,
+  "[XXXXX586]": 50399,
+  "[XXXXX587]": 51070,
+  "[XXXXX588]": 50457,
+  "[XXXXX589]": 50828,
+  "[XXXXX58]": 50183,
+  "[XXXXX590]": 50080,
+  "[XXXXX591]": 50550,
+  "[XXXXX592]": 50129,
+  "[XXXXX593]": 50273,
+  "[XXXXX594]": 50388,
+  "[XXXXX595]": 50491,
+  "[XXXXX596]": 50278,
+  "[XXXXX597]": 50011,
+  "[XXXXX598]": 50254,
+  "[XXXXX599]": 50302,
+  "[XXXXX59]": 50353,
+  "[XXXXX5]": 50010,
+  "[XXXXX600]": 50704,
+  "[XXXXX601]": 51118,
+  "[XXXXX602]": 50049,
+  "[XXXXX603]": 51190,
+  "[XXXXX604]": 51142,
+  "[XXXXX605]": 50707,
+  "[XXXXX606]": 50937,
+  "[XXXXX607]": 50875,
+  "[XXXXX608]": 50564,
+  "[XXXXX609]": 50345,
+  "[XXXXX60]": 50713,
+  "[XXXXX610]": 50949,
+  "[XXXXX611]": 50978,
+  "[XXXXX612]": 50330,
+  "[XXXXX613]": 51035,
+  "[XXXXX614]": 50402,
+  "[XXXXX615]": 50176,
+  "[XXXXX616]": 51133,
+  "[XXXXX617]": 50222,
+  "[XXXXX618]": 50118,
+  "[XXXXX619]": 50196,
+  "[XXXXX61]": 50298,
+  "[XXXXX620]": 50668,
+  "[XXXXX621]": 50462,
+  "[XXXXX622]": 50218,
+  "[XXXXX623]": 51101,
+  "[XXXXX624]": 50362,
+  "[XXXXX625]": 50779,
+  "[XXXXX626]": 50513,
+  "[XXXXX627]": 50746,
+  "[XXXXX628]": 50141,
+  "[XXXXX629]": 50479,
+  "[XXXXX62]": 50056,
+  "[XXXXX630]": 51180,
+  "[XXXXX631]": 50872,
+  "[XXXXX632]": 50315,
+  "[XXXXX633]": 50397,
+  "[XXXXX634]": 51165,
+  "[XXXXX635]": 50046,
+  "[XXXXX636]": 50795,
+  "[XXXXX637]": 50959,
+  "[XXXXX638]": 50786,
+  "[XXXXX639]": 50240,
+  "[XXXXX63]": 51061,
+  "[XXXXX640]": 50601,
+  "[XXXXX641]": 50904,
+  "[XXXXX642]": 50376,
+  "[XXXXX643]": 50663,
+  "[XXXXX644]": 50613,
+  "[XXXXX645]": 50467,
+  "[XXXXX646]": 50546,
+  "[XXXXX647]": 50465,
+  "[XXXXX648]": 50395,
+  "[XXXXX649]": 50287,
+  "[XXXXX64]": 51162,
+  "[XXXXX650]": 50474,
+  "[XXXXX651]": 50727,
+  "[XXXXX652]": 50243,
+  "[XXXXX653]": 51100,
+  "[XXXXX654]": 50705,
+  "[XXXXX655]": 51012,
+  "[XXXXX656]": 50447,
+  "[XXXXX657]": 50719,
+  "[XXXXX658]": 50712,
+  "[XXXXX659]": 50476,
+  "[XXXXX65]": 50587,
+  "[XXXXX660]": 51054,
+  "[XXXXX661]": 51166,
+  "[XXXXX662]": 50494,
+  "[XXXXX663]": 50230,
+  "[XXXXX664]": 50621,
+  "[XXXXX665]": 50809,
+  "[XXXXX666]": 50265,
+  "[XXXXX667]": 50645,
+  "[XXXXX668]": 50817,
+  "[XXXXX669]": 50030,
+  "[XXXXX66]": 51029,
+  "[XXXXX670]": 51004,
+  "[XXXXX671]": 50685,
+  "[XXXXX672]": 50625,
+  "[XXXXX673]": 50890,
+  "[XXXXX674]": 50383,
+  "[XXXXX675]": 50929,
+  "[XXXXX676]": 50116,
+  "[XXXXX677]": 51072,
+  "[XXXXX678]": 51126,
+  "[XXXXX679]": 50755,
+  "[XXXXX67]": 50717,
+  "[XXXXX680]": 50303,
+  "[XXXXX681]": 50504,
+  "[XXXXX682]": 51075,
+  "[XXXXX683]": 50261,
+  "[XXXXX684]": 50861,
+  "[XXXXX685]": 50306,
+  "[XXXXX686]": 50016,
+  "[XXXXX687]": 50101,
+  "[XXXXX688]": 51098,
+  "[XXXXX689]": 50827,
+  "[XXXXX68]": 50863,
+  "[XXXXX690]": 50640,
+  "[XXXXX691]": 50031,
+  "[XXXXX692]": 50768,
+  "[XXXXX693]": 50013,
+  "[XXXXX694]": 51032,
+  "[XXXXX695]": 50166,
+  "[XXXXX696]": 50127,
+  "[XXXXX697]": 50414,
+  "[XXXXX698]": 50742,
+  "[XXXXX699]": 51042,
+  "[XXXXX69]": 51112,
+  "[XXXXX6]": 50593,
+  "[XXXXX700]": 50292,
+  "[XXXXX701]": 50174,
+  "[XXXXX702]": 50547,
+  "[XXXXX703]": 50498,
+  "[XXXXX704]": 51078,
+  "[XXXXX705]": 50133,
+  "[XXXXX706]": 50041,
+  "[XXXXX707]": 51181,
+  "[XXXXX708]": 50585,
+  "[XXXXX709]": 50776,
+  "[XXXXX70]": 50053,
+  "[XXXXX710]": 50336,
+  "[XXXXX711]": 50765,
+  "[XXXXX712]": 50224,
+  "[XXXXX713]": 50599,
+  "[XXXXX714]": 50207,
+  "[XXXXX715]": 51043,
+  "[XXXXX716]": 51090,
+  "[XXXXX717]": 50006,
+  "[XXXXX718]": 50901,
+  "[XXXXX719]": 51001,
+  "[XXXXX71]": 50954,
+  "[XXXXX720]": 50646,
+  "[XXXXX721]": 50075,
+  "[XXXXX722]": 51120,
+  "[XXXXX723]": 50215,
+  "[XXXXX724]": 50415,
+  "[XXXXX725]": 50154,
+  "[XXXXX726]": 50935,
+  "[XXXXX727]": 50545,
+  "[XXXXX728]": 51085,
+  "[XXXXX729]": 50256,
+  "[XXXXX72]": 50363,
+  "[XXXXX730]": 50700,
+  "[XXXXX731]": 50262,
+  "[XXXXX732]": 50930,
+  "[XXXXX733]": 50333,
+  "[XXXXX734]": 50884,
+  "[XXXXX735]": 51030,
+  "[XXXXX736]": 50231,
+  "[XXXXX737]": 50405,
+  "[XXXXX738]": 50962,
+  "[XXXXX739]": 50458,
+  "[XXXXX73]": 50019,
+  "[XXXXX740]": 50878,
+  "[XXXXX741]": 50910,
+  "[XXXXX742]": 50170,
+  "[XXXXX743]": 50718,
+  "[XXXXX744]": 50616,
+  "[XXXXX745]": 50358,
+  "[XXXXX746]": 50152,
+  "[XXXXX747]": 50525,
+  "[XXXXX748]": 51167,
+  "[XXXXX749]": 50653,
+  "[XXXXX74]": 50952,
+  "[XXXXX750]": 50500,
+  "[XXXXX751]": 50446,
+  "[XXXXX752]": 50995,
+  "[XXXXX753]": 50945,
+  "[XXXXX754]": 51173,
+  "[XXXXX755]": 50823,
+  "[XXXXX756]": 51060,
+  "[XXXXX757]": 50748,
+  "[XXXXX758]": 50020,
+  "[XXXXX759]": 50197,
+  "[XXXXX75]": 50502,
+  "[XXXXX760]": 50291,
+  "[XXXXX761]": 50821,
+  "[XXXXX762]": 50190,
+  "[XXXXX763]": 50745,
+  "[XXXXX764]": 50778,
+  "[XXXXX765]": 50556,
+  "[XXXXX766]": 51161,
+  "[XXXXX767]": 50466,
+  "[XXXXX768]": 50792,
+  "[XXXXX769]": 50208,
+  "[XXXXX76]": 50169,
+  "[XXXXX770]": 50647,
+  "[XXXXX771]": 50610,
+  "[XXXXX772]": 51140,
+  "[XXXXX773]": 50441,
+  "[XXXXX774]": 50870,
+  "[XXXXX775]": 50368,
+  "[XXXXX776]": 50026,
+  "[XXXXX777]": 50677,
+  "[XXXXX778]": 51168,
+  "[XXXXX779]": 50481,
+  "[XXXXX77]": 50515,
+  "[XXXXX780]": 50225,
+  "[XXXXX781]": 50408,
+  "[XXXXX782]": 50090,
+  "[XXXXX783]": 50951,
+  "[XXXXX784]": 50015,
+  "[XXXXX785]": 50658,
+  "[XXXXX786]": 50617,
+  "[XXXXX787]": 50721,
+  "[XXXXX788]": 51084,
+  "[XXXXX789]": 50830,
+  "[XXXXX78]": 50100,
+  "[XXXXX790]": 50606,
+  "[XXXXX791]": 50124,
+  "[XXXXX792]": 50078,
+  "[XXXXX793]": 51188,
+  "[XXXXX794]": 50750,
+  "[XXXXX795]": 50138,
+  "[XXXXX796]": 50239,
+  "[XXXXX797]": 50385,
+  "[XXXXX798]": 50780,
+  "[XXXXX799]": 50683,
+  "[XXXXX79]": 50436,
+  "[XXXXX7]": 50211,
+  "[XXXXX800]": 51185,
+  "[XXXXX801]": 50250,
+  "[XXXXX802]": 50456,
+  "[XXXXX803]": 50508,
+  "[XXXXX804]": 51194,
+  "[XXXXX805]": 50021,
+  "[XXXXX806]": 50307,
+  "[XXXXX807]": 50199,
+  "[XXXXX808]": 51129,
+  "[XXXXX809]": 50686,
+  "[XXXXX80]": 50370,
+  "[XXXXX810]": 50343,
+  "[XXXXX811]": 50614,
+  "[XXXXX812]": 50636,
+  "[XXXXX813]": 51198,
+  "[XXXXX814]": 50788,
+  "[XXXXX815]": 50120,
+  "[XXXXX816]": 50135,
+  "[XXXXX817]": 50293,
+  "[XXXXX818]": 50153,
+  "[XXXXX819]": 50516,
+  "[XXXXX81]": 50581,
+  "[XXXXX820]": 50586,
+  "[XXXXX821]": 50509,
+  "[XXXXX822]": 50220,
+  "[XXXXX823]": 51068,
+  "[XXXXX824]": 50946,
+  "[XXXXX825]": 50965,
+  "[XXXXX826]": 50032,
+  "[XXXXX827]": 50156,
+  "[XXXXX828]": 50449,
+  "[XXXXX829]": 50531,
+  "[XXXXX82]": 51164,
+  "[XXXXX830]": 50486,
+  "[XXXXX831]": 50357,
+  "[XXXXX832]": 51022,
+  "[XXXXX833]": 50633,
+  "[XXXXX834]": 50754,
+  "[XXXXX835]": 51134,
+  "[XXXXX836]": 50193,
+  "[XXXXX837]": 51088,
+  "[XXXXX838]": 50722,
+  "[XXXXX839]": 50756,
+  "[XXXXX83]": 50977,
+  "[XXXXX840]": 50022,
+  "[XXXXX841]": 51186,
+  "[XXXXX842]": 50575,
+  "[XXXXX843]": 50079,
+  "[XXXXX844]": 50644,
+  "[XXXXX845]": 51033,
+  "[XXXXX846]": 50454,
+  "[XXXXX847]": 50095,
+  "[XXXXX848]": 50902,
+  "[XXXXX849]": 50597,
+  "[XXXXX84]": 50167,
+  "[XXXXX850]": 51051,
+  "[XXXXX851]": 50696,
+  "[XXXXX852]": 50966,
+  "[XXXXX853]": 50034,
+  "[XXXXX854]": 50889,
+  "[XXXXX855]": 50843,
+  "[XXXXX856]": 50963,
+  "[XXXXX857]": 50227,
+  "[XXXXX858]": 51058,
+  "[XXXXX859]": 50850,
+  "[XXXXX85]": 50192,
+  "[XXXXX860]": 50228,
+  "[XXXXX861]": 50570,
+  "[XXXXX862]": 50488,
+  "[XXXXX863]": 50539,
+  "[XXXXX864]": 51182,
+  "[XXXXX865]": 50990,
+  "[XXXXX866]": 50542,
+  "[XXXXX867]": 51069,
+  "[XXXXX868]": 50480,
+  "[XXXXX869]": 50847,
+  "[XXXXX86]": 50874,
+  "[XXXXX870]": 50308,
+  "[XXXXX871]": 50510,
+  "[XXXXX872]": 50423,
+  "[XXXXX873]": 50086,
+  "[XXXXX874]": 50591,
+  "[XXXXX875]": 50728,
+  "[XXXXX876]": 50372,
+  "[XXXXX877]": 50903,
+  "[XXXXX878]": 50868,
+  "[XXXXX879]": 50763,
+  "[XXXXX87]": 50571,
+  "[XXXXX880]": 50096,
+  "[XXXXX881]": 51150,
+  "[XXXXX882]": 50460,
+  "[XXXXX883]": 51087,
+  "[XXXXX884]": 51093,
+  "[XXXXX885]": 50295,
+  "[XXXXX886]": 51037,
+  "[XXXXX887]": 51171,
+  "[XXXXX888]": 50794,
+  "[XXXXX889]": 50628,
+  "[XXXXX88]": 50520,
+  "[XXXXX890]": 51172,
+  "[XXXXX891]": 51046,
+  "[XXXXX892]": 50918,
+  "[XXXXX893]": 50998,
+  "[XXXXX894]": 50371,
+  "[XXXXX895]": 51155,
+  "[XXXXX896]": 50866,
+  "[XXXXX897]": 50229,
+  "[XXXXX898]": 51057,
+  "[XXXXX899]": 50867,
+  "[XXXXX89]": 50537,
+  "[XXXXX8]": 50784,
+  "[XXXXX900]": 50739,
+  "[XXXXX901]": 51080,
+  "[XXXXX902]": 50038,
+  "[XXXXX903]": 50321,
+  "[XXXXX904]": 50774,
+  "[XXXXX905]": 50974,
+  "[XXXXX906]": 50920,
+  "[XXXXX907]": 50469,
+  "[XXXXX908]": 51122,
+  "[XXXXX909]": 51092,
+  "[XXXXX90]": 50514,
+  "[XXXXX910]": 50798,
+  "[XXXXX911]": 50245,
+  "[XXXXX912]": 50367,
+  "[XXXXX913]": 50618,
+  "[XXXXX914]": 50072,
+  "[XXXXX915]": 50450,
+  "[XXXXX916]": 51189,
+  "[XXXXX917]": 50485,
+  "[XXXXX918]": 50283,
+  "[XXXXX919]": 50845,
+  "[XXXXX91]": 50968,
+  "[XXXXX920]": 50429,
+  "[XXXXX921]": 50364,
+  "[XXXXX922]": 50782,
+  "[XXXXX923]": 50534,
+  "[XXXXX924]": 50059,
+  "[XXXXX925]": 50102,
+  "[XXXXX926]": 50185,
+  "[XXXXX927]": 50634,
+  "[XXXXX928]": 50567,
+  "[XXXXX929]": 50895,
+  "[XXXXX92]": 50210,
+  "[XXXXX930]": 50561,
+  "[XXXXX931]": 51021,
+  "[XXXXX932]": 50107,
+  "[XXXXX933]": 50407,
+  "[XXXXX934]": 50654,
+  "[XXXXX935]": 50268,
+  "[XXXXX936]": 51153,
+  "[XXXXX937]": 50552,
+  "[XXXXX938]": 50526,
+  "[XXXXX939]": 50322,
+  "[XXXXX93]": 50912,
+  "[XXXXX940]": 50296,
+  "[XXXXX941]": 50572,
+  "[XXXXX942]": 50393,
+  "[XXXXX943]": 50312,
+  "[XXXXX944]": 50592,
+  "[XXXXX945]": 50982,
+  "[XXXXX946]": 50089,
+  "[XXXXX947]": 50331,
+  "[XXXXX948]": 50279,
+  "[XXXXX949]": 51005,
+  "[XXXXX94]": 50198,
+  "[XXXXX950]": 50114,
+  "[XXXXX951]": 50074,
+  "[XXXXX952]": 50248,
+  "[XXXXX953]": 50857,
+  "[XXXXX954]": 50841,
+  "[XXXXX955]": 51065,
+  "[XXXXX956]": 50234,
+  "[XXXXX957]": 50834,
+  "[XXXXX958]": 50535,
+  "[XXXXX959]": 51109,
+  "[XXXXX95]": 50651,
+  "[XXXXX960]": 50797,
+  "[XXXXX961]": 50914,
+  "[XXXXX962]": 50112,
+  "[XXXXX963]": 50073,
+  "[XXXXX964]": 50559,
+  "[XXXXX965]": 50933,
+  "[XXXXX966]": 50619,
+  "[XXXXX967]": 51187,
+  "[XXXXX968]": 50327,
+  "[XXXXX969]": 50698,
+  "[XXXXX96]": 50420,
+  "[XXXXX970]": 50060,
+  "[XXXXX971]": 50432,
+  "[XXXXX972]": 50620,
+  "[XXXXX973]": 50693,
+  "[XXXXX974]": 50938,
+  "[XXXXX975]": 50983,
+  "[XXXXX976]": 50334,
+  "[XXXXX977]": 50438,
+  "[XXXXX978]": 51154,
+  "[XXXXX979]": 50964,
+  "[XXXXX97]": 50672,
+  "[XXXXX980]": 50511,
+  "[XXXXX981]": 50244,
+  "[XXXXX982]": 50266,
+  "[XXXXX983]": 50134,
+  "[XXXXX984]": 50338,
+  "[XXXXX985]": 51121,
+  "[XXXXX986]": 50323,
+  "[XXXXX987]": 50909,
+  "[XXXXX988]": 51000,
+  "[XXXXX989]": 50036,
+  "[XXXXX98]": 50787,
+  "[XXXXX990]": 50512,
+  "[XXXXX991]": 50191,
+  "[XXXXX992]": 50187,
+  "[XXXXX993]": 51156,
+  "[XXXXX994]": 51135,
+  "[XXXXX995]": 50355,
+  "[XXXXX996]": 51027,
+  "[XXXXX997]": 50297,
+  "[XXXXX998]": 50928,
+  "[XXXXX999]": 50697,
+  "[XXXXX99]": 50980,
+  "[XXXXX9]": 50961
+}
diff --git a/checkpoint-6000/config.json b/checkpoint-6000/config.json
new file mode 100644
index 0000000..000c292
--- /dev/null
+++ b/checkpoint-6000/config.json
@@ -0,0 +1,34 @@
+{
+  "activation_function": "gelu",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50000,
+  "dtype": "bfloat16",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50001,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 512,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": 3072,
+  "n_layer": 12,
+  "n_positions": 512,
+  "pad_token_id": 50002,
+  "prefix": "[CLS]",
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "vocab_size": 51200
+}
diff --git a/checkpoint-6000/generation_config.json b/checkpoint-6000/generation_config.json
new file mode 100644
index 0000000..4c122f0
--- /dev/null
+++ b/checkpoint-6000/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50000,
+  "eos_token_id": [
+    50001
+  ],
+  "pad_token_id": 50002,
+  "transformers_version": "4.56.2"
+}
diff --git a/checkpoint-6000/model.safetensors b/checkpoint-6000/model.safetensors
new file mode 100644
index 0000000..4c94d32
--- /dev/null
+++ b/checkpoint-6000/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5f382c7936221968f71e0d21139e00f355834542be477acf511b41fd93b74109
+size 249556672
diff --git a/checkpoint-6000/rng_state.pth b/checkpoint-6000/rng_state.pth
new file mode 100644
index 0000000..c21e242
--- /dev/null
+++ b/checkpoint-6000/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fddef5f18062c3644962e53ba859cfef9f798c52294f3ede8a66019029088691
+size 14645
diff --git a/checkpoint-6000/special_tokens_map.json b/checkpoint-6000/special_tokens_map.json
new file mode 100644
index 0000000..c78a835
--- /dev/null
+++ b/checkpoint-6000/special_tokens_map.json
@@ -0,0 +1,1249 @@
+{
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/checkpoint-6000/spiece.model b/checkpoint-6000/spiece.model
new file mode 100644
index 0000000..85d6e93
--- /dev/null
+++ b/checkpoint-6000/spiece.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:762a1e078899c6ba7ef62ef873a57b860c51cc0518791854659b58b4c89742fe
+size 1170764
diff --git a/checkpoint-6000/tokenizer_config.json b/checkpoint-6000/tokenizer_config.json
new file mode 100644
index 0000000..b27d01f
--- /dev/null
+++ b/checkpoint-6000/tokenizer_config.json
@@ -0,0 +1,10825 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50000": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50001": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50002": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50003": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50004": {
+      "content": "[XXXXX160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50005": {
+      "content": "[XXXXX240]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50006": {
+      "content": "[XXXXX717]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50007": {
+      "content": "[XXXXX23]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50008": {
+      "content": "[XXXXX161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50009": {
+      "content": "[XXXXX1156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50010": {
+      "content": "[XXXXX5]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50011": {
+      "content": "[XXXXX597]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50012": {
+      "content": "[XXXXX415]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50013": {
+      "content": "[XXXXX693]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50014": {
+      "content": "[XXXXX1083]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50015": {
+      "content": "[XXXXX784]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50016": {
+      "content": "[XXXXX686]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50017": {
+      "content": "[XXXXX379]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50018": {
+      "content": "[XXXXX335]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50019": {
+      "content": "[XXXXX73]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50020": {
+      "content": "[XXXXX758]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50021": {
+      "content": "[XXXXX805]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50022": {
+      "content": "[XXXXX840]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50023": {
+      "content": "[XXXXX1037]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50024": {
+      "content": "[XXXXX235]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50025": {
+      "content": "[XXXXX1107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50026": {
+      "content": "[XXXXX776]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50027": {
+      "content": "[XXXXX286]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50028": {
+      "content": "[XXXXX396]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50029": {
+      "content": "[XXXXX478]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50030": {
+      "content": "[XXXXX669]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50031": {
+      "content": "[XXXXX691]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50032": {
+      "content": "[XXXXX826]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50033": {
+      "content": "[XXXXX1150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50034": {
+      "content": "[XXXXX853]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50035": {
+      "content": "[XXXXX130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50036": {
+      "content": "[XXXXX989]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50037": {
+      "content": "[XXXXX249]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50038": {
+      "content": "[XXXXX902]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50039": {
+      "content": "[XXXXX1169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50040": {
+      "content": "[XXXXX260]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50041": {
+      "content": "[XXXXX706]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50042": {
+      "content": "[XXXXX146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50043": {
+      "content": "[XXXXX198]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50044": {
+      "content": "[XXXXX303]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50045": {
+      "content": "[XXXXX1192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50046": {
+      "content": "[XXXXX635]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50047": {
+      "content": "[XXXXX271]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50048": {
+      "content": "[XXXXX1023]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50049": {
+      "content": "[XXXXX602]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50050": {
+      "content": "[XXXXX291]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50051": {
+      "content": "[XXXXX190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50052": {
+      "content": "[XXXXX1055]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50053": {
+      "content": "[XXXXX70]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50054": {
+      "content": "[XXXXX178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50055": {
+      "content": "[XXXXX318]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50056": {
+      "content": "[XXXXX62]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50057": {
+      "content": "[XXXXX473]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50058": {
+      "content": "[XXXXX517]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50059": {
+      "content": "[XXXXX924]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50060": {
+      "content": "[XXXXX970]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50061": {
+      "content": "[XXXXX1033]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50062": {
+      "content": "[XXXXX110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50063": {
+      "content": "[XXXXX1151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50064": {
+      "content": "[XXXXX1189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50065": {
+      "content": "[XXXXX1095]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50066": {
+      "content": "[XXXXX148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50067": {
+      "content": "[XXXXX337]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50068": {
+      "content": "[XXXXX245]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50069": {
+      "content": "[XXXXX407]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50070": {
+      "content": "[XXXXX557]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50071": {
+      "content": "[XXXXX576]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50072": {
+      "content": "[XXXXX914]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50073": {
+      "content": "[XXXXX963]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50074": {
+      "content": "[XXXXX951]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50075": {
+      "content": "[XXXXX721]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50076": {
+      "content": "[XXXXX1174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50077": {
+      "content": "[XXXXX3]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50078": {
+      "content": "[XXXXX792]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50079": {
+      "content": "[XXXXX843]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50080": {
+      "content": "[XXXXX590]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50081": {
+      "content": "[XXXXX118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50082": {
+      "content": "[XXXXX280]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50083": {
+      "content": "[XXXXX1119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50084": {
+      "content": "[XXXXX1025]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50085": {
+      "content": "[XXXXX140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50086": {
+      "content": "[XXXXX873]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50087": {
+      "content": "[XXXXX103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50088": {
+      "content": "[XXXXX307]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50089": {
+      "content": "[XXXXX946]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50090": {
+      "content": "[XXXXX782]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50091": {
+      "content": "[XXXXX100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50092": {
+      "content": "[XXXXX485]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50093": {
+      "content": "[XXXXX151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50094": {
+      "content": "[XXXXX213]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50095": {
+      "content": "[XXXXX847]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50096": {
+      "content": "[XXXXX880]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50097": {
+      "content": "[XXXXX44]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50098": {
+      "content": "[XXXXX1031]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50099": {
+      "content": "[XXXXX545]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50100": {
+      "content": "[XXXXX78]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50101": {
+      "content": "[XXXXX687]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50102": {
+      "content": "[XXXXX925]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50103": {
+      "content": "[XXXXX519]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50104": {
+      "content": "[XXXXX1191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50105": {
+      "content": "[XXXXX13]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50106": {
+      "content": "[XXXXX487]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50107": {
+      "content": "[XXXXX932]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50108": {
+      "content": "[XXXXX119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50109": {
+      "content": "[XXXXX170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50110": {
+      "content": "[XXXXX254]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50111": {
+      "content": "[XXXXX420]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50112": {
+      "content": "[XXXXX962]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50113": {
+      "content": "[XXXXX441]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50114": {
+      "content": "[XXXXX950]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50115": {
+      "content": "[XXXXX18]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50116": {
+      "content": "[XXXXX676]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50117": {
+      "content": "[XXXXX1133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50118": {
+      "content": "[XXXXX618]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50119": {
+      "content": "[XXXXX374]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50120": {
+      "content": "[XXXXX815]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50121": {
+      "content": "[XXXXX1058]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50122": {
+      "content": "[XXXXX1108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50123": {
+      "content": "[XXXXX1144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50124": {
+      "content": "[XXXXX791]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50125": {
+      "content": "[XXXXX259]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50126": {
+      "content": "[XXXXX1074]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50127": {
+      "content": "[XXXXX696]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50128": {
+      "content": "[XXXXX1168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50129": {
+      "content": "[XXXXX592]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50130": {
+      "content": "[XXXXX127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50131": {
+      "content": "[XXXXX136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50132": {
+      "content": "[XXXXX237]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50133": {
+      "content": "[XXXXX705]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50134": {
+      "content": "[XXXXX983]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50135": {
+      "content": "[XXXXX816]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50136": {
+      "content": "[XXXXX412]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50137": {
+      "content": "[XXXXX410]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50138": {
+      "content": "[XXXXX795]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50139": {
+      "content": "[XXXXX101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50140": {
+      "content": "[XXXXX171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50141": {
+      "content": "[XXXXX628]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50142": {
+      "content": "[XXXXX1038]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50143": {
+      "content": "[XXXXX447]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50144": {
+      "content": "[XXXXX1043]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50145": {
+      "content": "[XXXXX147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50146": {
+      "content": "[XXXXX1112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50147": {
+      "content": "[XXXXX186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50148": {
+      "content": "[XXXXX461]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50149": {
+      "content": "[XXXXX423]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50150": {
+      "content": "[XXXXX26]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50151": {
+      "content": "[XXXXX227]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50152": {
+      "content": "[XXXXX746]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50153": {
+      "content": "[XXXXX818]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50154": {
+      "content": "[XXXXX725]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50155": {
+      "content": "[XXXXX400]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50156": {
+      "content": "[XXXXX827]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50157": {
+      "content": "[XXXXX1020]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50158": {
+      "content": "[XXXXX1060]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50159": {
+      "content": "[XXXXX195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50160": {
+      "content": "[XXXXX526]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50161": {
+      "content": "[XXXXX570]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50162": {
+      "content": "[XXXXX174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50163": {
+      "content": "[XXXXX333]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50164": {
+      "content": "[XXXXX466]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50165": {
+      "content": "[XXXXX513]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50166": {
+      "content": "[XXXXX695]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50167": {
+      "content": "[XXXXX84]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50168": {
+      "content": "[XXXXX1080]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50169": {
+      "content": "[XXXXX76]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50170": {
+      "content": "[XXXXX742]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50171": {
+      "content": "[XXXXX1008]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50172": {
+      "content": "[XXXXX1123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50173": {
+      "content": "[XXXXX1145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50174": {
+      "content": "[XXXXX701]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50175": {
+      "content": "[XXXXX562]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50176": {
+      "content": "[XXXXX615]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50177": {
+      "content": "[XXXXX389]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50178": {
+      "content": "[XXXXX267]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50179": {
+      "content": "[XXXXX323]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50180": {
+      "content": "[XXXXX346]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50181": {
+      "content": "[XXXXX287]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50182": {
+      "content": "[XXXXX469]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50183": {
+      "content": "[XXXXX58]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50184": {
+      "content": "[XXXXX431]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50185": {
+      "content": "[XXXXX926]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50186": {
+      "content": "[XXXXX1182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50187": {
+      "content": "[XXXXX992]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50188": {
+      "content": "[XXXXX185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50189": {
+      "content": "[XXXXX352]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50190": {
+      "content": "[XXXXX762]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50191": {
+      "content": "[XXXXX991]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50192": {
+      "content": "[XXXXX85]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50193": {
+      "content": "[XXXXX836]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50194": {
+      "content": "[XXXXX460]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50195": {
+      "content": "[XXXXX272]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50196": {
+      "content": "[XXXXX619]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50197": {
+      "content": "[XXXXX759]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50198": {
+      "content": "[XXXXX94]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50199": {
+      "content": "[XXXXX807]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50200": {
+      "content": "[XXXXX299]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50201": {
+      "content": "[XXXXX187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50202": {
+      "content": "[XXXXX486]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50203": {
+      "content": "[XXXXX45]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50204": {
+      "content": "[XXXXX1036]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50205": {
+      "content": "[XXXXX354]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50206": {
+      "content": "[XXXXX386]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50207": {
+      "content": "[XXXXX714]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50208": {
+      "content": "[XXXXX769]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50209": {
+      "content": "[XXXXX304]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50210": {
+      "content": "[XXXXX92]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50211": {
+      "content": "[XXXXX7]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50212": {
+      "content": "[XXXXX31]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50213": {
+      "content": "[XXXXX102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50214": {
+      "content": "[XXXXX163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50215": {
+      "content": "[XXXXX723]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50216": {
+      "content": "[XXXXX1042]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50217": {
+      "content": "[XXXXX452]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50218": {
+      "content": "[XXXXX622]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50219": {
+      "content": "[XXXXX1056]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50220": {
+      "content": "[XXXXX822]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50221": {
+      "content": "[XXXXX125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50222": {
+      "content": "[XXXXX617]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50223": {
+      "content": "[XXXXX34]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50224": {
+      "content": "[XXXXX712]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50225": {
+      "content": "[XXXXX780]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50226": {
+      "content": "[XXXXX547]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50227": {
+      "content": "[XXXXX857]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50228": {
+      "content": "[XXXXX860]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50229": {
+      "content": "[XXXXX897]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50230": {
+      "content": "[XXXXX663]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50231": {
+      "content": "[XXXXX736]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50232": {
+      "content": "[XXXXX202]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50233": {
+      "content": "[XXXXX1029]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50234": {
+      "content": "[XXXXX956]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50235": {
+      "content": "[XXXXX397]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50236": {
+      "content": "[XXXXX239]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50237": {
+      "content": "[XXXXX472]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50238": {
+      "content": "[XXXXX230]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50239": {
+      "content": "[XXXXX796]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50240": {
+      "content": "[XXXXX639]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50241": {
+      "content": "[XXXXX203]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50242": {
+      "content": "[XXXXX231]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50243": {
+      "content": "[XXXXX652]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50244": {
+      "content": "[XXXXX981]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50245": {
+      "content": "[XXXXX911]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50246": {
+      "content": "[XXXXX380]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50247": {
+      "content": "[XXXXX477]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50248": {
+      "content": "[XXXXX952]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50249": {
+      "content": "[XXXXX28]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50250": {
+      "content": "[XXXXX801]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50251": {
+      "content": "[XXXXX1134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50252": {
+      "content": "[XXXXX1176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50253": {
+      "content": "[XXXXX180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50254": {
+      "content": "[XXXXX598]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50255": {
+      "content": "[XXXXX365]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50256": {
+      "content": "[XXXXX729]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50257": {
+      "content": "[XXXXX214]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50258": {
+      "content": "[XXXXX1117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50259": {
+      "content": "[XXXXX278]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50260": {
+      "content": "[XXXXX522]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50261": {
+      "content": "[XXXXX683]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50262": {
+      "content": "[XXXXX731]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50263": {
+      "content": "[XXXXX312]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "[XXXXX1178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50265": {
+      "content": "[XXXXX666]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50266": {
+      "content": "[XXXXX982]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50267": {
+      "content": "[XXXXX414]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50268": {
+      "content": "[XXXXX935]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50269": {
+      "content": "[XXXXX1089]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50270": {
+      "content": "[XXXXX236]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50271": {
+      "content": "[XXXXX463]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50272": {
+      "content": "[XXXXX52]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50273": {
+      "content": "[XXXXX593]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50274": {
+      "content": "[XXXXX508]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50275": {
+      "content": "[XXXXX1125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50276": {
+      "content": "[XXXXX462]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50277": {
+      "content": "[XXXXX32]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50278": {
+      "content": "[XXXXX596]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50279": {
+      "content": "[XXXXX948]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50280": {
+      "content": "[XXXXX150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50281": {
+      "content": "[XXXXX322]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50282": {
+      "content": "[XXXXX390]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50283": {
+      "content": "[XXXXX918]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50284": {
+      "content": "[XXXXX157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50285": {
+      "content": "[XXXXX310]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50286": {
+      "content": "[XXXXX392]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50287": {
+      "content": "[XXXXX649]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50288": {
+      "content": "[XXXXX158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50289": {
+      "content": "[XXXXX430]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50290": {
+      "content": "[XXXXX384]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50291": {
+      "content": "[XXXXX760]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50292": {
+      "content": "[XXXXX700]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50293": {
+      "content": "[XXXXX817]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50294": {
+      "content": "[XXXXX115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50295": {
+      "content": "[XXXXX885]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50296": {
+      "content": "[XXXXX940]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50297": {
+      "content": "[XXXXX997]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50298": {
+      "content": "[XXXXX61]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50299": {
+      "content": "[XXXXX209]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50300": {
+      "content": "[XXXXX316]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50301": {
+      "content": "[XXXXX537]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50302": {
+      "content": "[XXXXX599]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50303": {
+      "content": "[XXXXX680]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50304": {
+      "content": "[XXXXX135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50305": {
+      "content": "[XXXXX39]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50306": {
+      "content": "[XXXXX685]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50307": {
+      "content": "[XXXXX806]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50308": {
+      "content": "[XXXXX870]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50309": {
+      "content": "[XXXXX1096]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50310": {
+      "content": "[XXXXX366]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50311": {
+      "content": "[XXXXX509]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50312": {
+      "content": "[XXXXX943]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50313": {
+      "content": "[XXXXX292]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50314": {
+      "content": "[XXXXX367]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50315": {
+      "content": "[XXXXX632]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50316": {
+      "content": "[XXXXX1136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50317": {
+      "content": "[XXXXX156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50318": {
+      "content": "[XXXXX1100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50319": {
+      "content": "[XXXXX432]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50320": {
+      "content": "[XXXXX514]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50321": {
+      "content": "[XXXXX903]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50322": {
+      "content": "[XXXXX939]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50323": {
+      "content": "[XXXXX986]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50324": {
+      "content": "[XXXXX506]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50325": {
+      "content": "[XXXXX10]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50326": {
+      "content": "[XXXXX573]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50327": {
+      "content": "[XXXXX968]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50328": {
+      "content": "[XXXXX1039]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50329": {
+      "content": "[XXXXX252]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50330": {
+      "content": "[XXXXX612]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50331": {
+      "content": "[XXXXX947]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50332": {
+      "content": "[XXXXX1162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50333": {
+      "content": "[XXXXX733]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50334": {
+      "content": "[XXXXX976]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50335": {
+      "content": "[XXXXX535]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50336": {
+      "content": "[XXXXX710]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50337": {
+      "content": "[XXXXX40]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50338": {
+      "content": "[XXXXX984]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50339": {
+      "content": "[XXXXX584]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50340": {
+      "content": "[XXXXX132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50341": {
+      "content": "[XXXXX1084]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50342": {
+      "content": "[XXXXX549]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50343": {
+      "content": "[XXXXX810]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50344": {
+      "content": "[XXXXX208]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50345": {
+      "content": "[XXXXX609]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50346": {
+      "content": "[XXXXX275]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50347": {
+      "content": "[XXXXX262]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50348": {
+      "content": "[XXXXX331]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50349": {
+      "content": "[XXXXX361]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50350": {
+      "content": "[XXXXX561]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50351": {
+      "content": "[XXXXX143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50352": {
+      "content": "[XXXXX1061]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50353": {
+      "content": "[XXXXX59]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50354": {
+      "content": "[XXXXX21]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50355": {
+      "content": "[XXXXX995]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50356": {
+      "content": "[XXXXX439]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50357": {
+      "content": "[XXXXX831]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50358": {
+      "content": "[XXXXX745]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50359": {
+      "content": "[XXXXX43]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50360": {
+      "content": "[XXXXX498]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50361": {
+      "content": "[XXXXX575]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50362": {
+      "content": "[XXXXX624]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50363": {
+      "content": "[XXXXX72]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50364": {
+      "content": "[XXXXX921]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50365": {
+      "content": "[XXXXX201]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50366": {
+      "content": "[XXXXX1171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50367": {
+      "content": "[XXXXX912]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50368": {
+      "content": "[XXXXX775]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50369": {
+      "content": "[XXXXX1094]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50370": {
+      "content": "[XXXXX80]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50371": {
+      "content": "[XXXXX894]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50372": {
+      "content": "[XXXXX876]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50373": {
+      "content": "[XXXXX1143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50374": {
+      "content": "[XXXXX355]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50375": {
+      "content": "[XXXXX450]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50376": {
+      "content": "[XXXXX642]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50377": {
+      "content": "[XXXXX162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50378": {
+      "content": "[XXXXX394]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50379": {
+      "content": "[XXXXX296]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50380": {
+      "content": "[XXXXX536]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50381": {
+      "content": "[XXXXX560]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50382": {
+      "content": "[XXXXX373]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50383": {
+      "content": "[XXXXX674]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50384": {
+      "content": "[XXXXX1099]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50385": {
+      "content": "[XXXXX797]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50386": {
+      "content": "[XXXXX516]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50387": {
+      "content": "[XXXXX41]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50388": {
+      "content": "[XXXXX594]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50389": {
+      "content": "[XXXXX319]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50390": {
+      "content": "[XXXXX165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50391": {
+      "content": "[XXXXX344]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50392": {
+      "content": "[XXXXX1012]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50393": {
+      "content": "[XXXXX942]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50394": {
+      "content": "[XXXXX1071]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50395": {
+      "content": "[XXXXX648]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50396": {
+      "content": "[XXXXX4]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50397": {
+      "content": "[XXXXX633]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50398": {
+      "content": "[XXXXX551]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50399": {
+      "content": "[XXXXX586]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50400": {
+      "content": "[XXXXX578]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50401": {
+      "content": "[XXXXX348]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50402": {
+      "content": "[XXXXX614]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50403": {
+      "content": "[XXXXX33]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50404": {
+      "content": "[XXXXX1193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50405": {
+      "content": "[XXXXX737]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50406": {
+      "content": "[XXXXX233]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50407": {
+      "content": "[XXXXX933]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50408": {
+      "content": "[XXXXX781]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50409": {
+      "content": "[XXXXX189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50410": {
+      "content": "[XXXXX1006]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50411": {
+      "content": "[XXXXX219]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50412": {
+      "content": "[XXXXX454]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50413": {
+      "content": "[XXXXX449]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50414": {
+      "content": "[XXXXX697]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50415": {
+      "content": "[XXXXX724]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50416": {
+      "content": "[XXXXX224]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50417": {
+      "content": "[XXXXX1157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50418": {
+      "content": "[XXXXX455]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50419": {
+      "content": "[XXXXX505]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50420": {
+      "content": "[XXXXX96]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50421": {
+      "content": "[XXXXX182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50422": {
+      "content": "[XXXXX424]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50423": {
+      "content": "[XXXXX872]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50424": {
+      "content": "[XXXXX1163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50425": {
+      "content": "[XXXXX1081]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50426": {
+      "content": "[XXXXX1173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50427": {
+      "content": "[XXXXX172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50428": {
+      "content": "[XXXXX507]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50429": {
+      "content": "[XXXXX920]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50430": {
+      "content": "[XXXXX1126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50431": {
+      "content": "[XXXXX474]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50432": {
+      "content": "[XXXXX971]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50433": {
+      "content": "[XXXXX1049]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50434": {
+      "content": "[XXXXX1114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50435": {
+      "content": "[XXXXX1040]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50436": {
+      "content": "[XXXXX79]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50437": {
+      "content": "[XXXXX36]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50438": {
+      "content": "[XXXXX977]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50439": {
+      "content": "[XXXXX1129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50440": {
+      "content": "[XXXXX1063]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50441": {
+      "content": "[XXXXX773]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50442": {
+      "content": "[XXXXX16]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50443": {
+      "content": "[XXXXX113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50444": {
+      "content": "[XXXXX320]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50445": {
+      "content": "[XXXXX167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50446": {
+      "content": "[XXXXX751]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50447": {
+      "content": "[XXXXX656]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50448": {
+      "content": "[XXXXX543]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50449": {
+      "content": "[XXXXX828]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50450": {
+      "content": "[XXXXX915]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50451": {
+      "content": "[XXXXX1098]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50452": {
+      "content": "[XXXXX569]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50453": {
+      "content": "[XXXXX1166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50454": {
+      "content": "[XXXXX846]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50455": {
+      "content": "[XXXXX324]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50456": {
+      "content": "[XXXXX802]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50457": {
+      "content": "[XXXXX588]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50458": {
+      "content": "[XXXXX739]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50459": {
+      "content": "[XXXXX50]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50460": {
+      "content": "[XXXXX882]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50461": {
+      "content": "[XXXXX1054]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50462": {
+      "content": "[XXXXX621]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50463": {
+      "content": "[XXXXX585]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50464": {
+      "content": "[XXXXX121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50465": {
+      "content": "[XXXXX647]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50466": {
+      "content": "[XXXXX767]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50467": {
+      "content": "[XXXXX645]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50468": {
+      "content": "[XXXXX27]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50469": {
+      "content": "[XXXXX907]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50470": {
+      "content": "[XXXXX1109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50471": {
+      "content": "[XXXXX1147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50472": {
+      "content": "[XXXXX501]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50473": {
+      "content": "[XXXXX1164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50474": {
+      "content": "[XXXXX650]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50475": {
+      "content": "[XXXXX329]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50476": {
+      "content": "[XXXXX659]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50477": {
+      "content": "[XXXXX1158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50478": {
+      "content": "[XXXXX104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50479": {
+      "content": "[XXXXX629]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50480": {
+      "content": "[XXXXX868]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50481": {
+      "content": "[XXXXX779]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50482": {
+      "content": "[XXXXX17]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50483": {
+      "content": "[XXXXX377]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50484": {
+      "content": "[XXXXX467]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50485": {
+      "content": "[XXXXX917]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50486": {
+      "content": "[XXXXX830]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50487": {
+      "content": "[XXXXX533]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50488": {
+      "content": "[XXXXX862]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50489": {
+      "content": "[XXXXX1041]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50490": {
+      "content": "[XXXXX542]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50491": {
+      "content": "[XXXXX595]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50492": {
+      "content": "[XXXXX353]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50493": {
+      "content": "[XXXXX181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50494": {
+      "content": "[XXXXX662]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50495": {
+      "content": "[XXXXX1195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50496": {
+      "content": "[XXXXX435]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50497": {
+      "content": "[XXXXX1051]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50498": {
+      "content": "[XXXXX703]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50499": {
+      "content": "[XXXXX1140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50500": {
+      "content": "[XXXXX750]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50501": {
+      "content": "[XXXXX57]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50502": {
+      "content": "[XXXXX75]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50503": {
+      "content": "[XXXXX293]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50504": {
+      "content": "[XXXXX681]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50505": {
+      "content": "[XXXXX46]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50506": {
+      "content": "[XXXXX30]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50507": {
+      "content": "[XXXXX402]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50508": {
+      "content": "[XXXXX803]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50509": {
+      "content": "[XXXXX821]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50510": {
+      "content": "[XXXXX871]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50511": {
+      "content": "[XXXXX980]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50512": {
+      "content": "[XXXXX990]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50513": {
+      "content": "[XXXXX626]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50514": {
+      "content": "[XXXXX90]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50515": {
+      "content": "[XXXXX77]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50516": {
+      "content": "[XXXXX819]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50517": {
+      "content": "[XXXXX436]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50518": {
+      "content": "[XXXXX306]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50519": {
+      "content": "[XXXXX434]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50520": {
+      "content": "[XXXXX88]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50521": {
+      "content": "[XXXXX184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50522": {
+      "content": "[XXXXX290]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50523": {
+      "content": "[XXXXX216]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50524": {
+      "content": "[XXXXX176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50525": {
+      "content": "[XXXXX747]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50526": {
+      "content": "[XXXXX938]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50527": {
+      "content": "[XXXXX442]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50528": {
+      "content": "[XXXXX301]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50529": {
+      "content": "[XXXXX1015]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50530": {
+      "content": "[XXXXX520]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50531": {
+      "content": "[XXXXX829]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50532": {
+      "content": "[XXXXX106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50533": {
+      "content": "[XXXXX1048]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50534": {
+      "content": "[XXXXX923]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50535": {
+      "content": "[XXXXX958]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50536": {
+      "content": "[XXXXX1130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50537": {
+      "content": "[XXXXX89]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50538": {
+      "content": "[XXXXX548]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50539": {
+      "content": "[XXXXX863]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50540": {
+      "content": "[XXXXX444]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50541": {
+      "content": "[XXXXX1149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50542": {
+      "content": "[XXXXX866]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50543": {
+      "content": "[XXXXX109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50544": {
+      "content": "[XXXXX550]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50545": {
+      "content": "[XXXXX727]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50546": {
+      "content": "[XXXXX646]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50547": {
+      "content": "[XXXXX702]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50548": {
+      "content": "[XXXXX204]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50549": {
+      "content": "[XXXXX1000]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50550": {
+      "content": "[XXXXX591]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50551": {
+      "content": "[XXXXX1128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50552": {
+      "content": "[XXXXX937]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50553": {
+      "content": "[XXXXX141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50554": {
+      "content": "[XXXXX273]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50555": {
+      "content": "[XXXXX1183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50556": {
+      "content": "[XXXXX765]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50557": {
+      "content": "[XXXXX371]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50558": {
+      "content": "[XXXXX256]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50559": {
+      "content": "[XXXXX964]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50560": {
+      "content": "[XXXXX1148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50561": {
+      "content": "[XXXXX930]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50562": {
+      "content": "[XXXXX212]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50563": {
+      "content": "[XXXXX133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50564": {
+      "content": "[XXXXX608]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50565": {
+      "content": "[XXXXX281]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50566": {
+      "content": "[XXXXX1045]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50567": {
+      "content": "[XXXXX928]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50568": {
+      "content": "[XXXXX1154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50569": {
+      "content": "[XXXXX334]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50570": {
+      "content": "[XXXXX861]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50571": {
+      "content": "[XXXXX87]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50572": {
+      "content": "[XXXXX941]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50573": {
+      "content": "[XXXXX359]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50574": {
+      "content": "[XXXXX55]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50575": {
+      "content": "[XXXXX842]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50576": {
+      "content": "[XXXXX427]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50577": {
+      "content": "[XXXXX491]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50578": {
+      "content": "[XXXXX137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50579": {
+      "content": "[XXXXX47]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50580": {
+      "content": "[XXXXX511]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50581": {
+      "content": "[XXXXX81]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50582": {
+      "content": "[XXXXX139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50583": {
+      "content": "[XXXXX226]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50584": {
+      "content": "[XXXXX563]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50585": {
+      "content": "[XXXXX708]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50586": {
+      "content": "[XXXXX820]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50587": {
+      "content": "[XXXXX65]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50588": {
+      "content": "[XXXXX381]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50589": {
+      "content": "[XXXXX22]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50590": {
+      "content": "[XXXXX1064]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50591": {
+      "content": "[XXXXX874]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50592": {
+      "content": "[XXXXX944]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50593": {
+      "content": "[XXXXX6]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50594": {
+      "content": "[XXXXX313]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50595": {
+      "content": "[XXXXX471]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50596": {
+      "content": "[XXXXX1118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50597": {
+      "content": "[XXXXX849]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50598": {
+      "content": "[XXXXX483]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50599": {
+      "content": "[XXXXX713]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50600": {
+      "content": "[XXXXX222]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50601": {
+      "content": "[XXXXX640]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50602": {
+      "content": "[XXXXX12]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50603": {
+      "content": "[XXXXX285]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50604": {
+      "content": "[XXXXX327]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50605": {
+      "content": "[XXXXX378]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50606": {
+      "content": "[XXXXX790]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50607": {
+      "content": "[XXXXX1179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50608": {
+      "content": "[XXXXX15]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50609": {
+      "content": "[XXXXX229]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50610": {
+      "content": "[XXXXX771]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50611": {
+      "content": "[XXXXX559]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50612": {
+      "content": "[XXXXX253]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50613": {
+      "content": "[XXXXX644]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50614": {
+      "content": "[XXXXX811]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50615": {
+      "content": "[XXXXX554]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50616": {
+      "content": "[XXXXX744]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50617": {
+      "content": "[XXXXX786]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50618": {
+      "content": "[XXXXX913]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50619": {
+      "content": "[XXXXX966]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50620": {
+      "content": "[XXXXX972]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50621": {
+      "content": "[XXXXX664]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50622": {
+      "content": "[XXXXX1131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50623": {
+      "content": "[XXXXX1132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50624": {
+      "content": "[XXXXX376]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50625": {
+      "content": "[XXXXX672]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50626": {
+      "content": "[XXXXX1013]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50627": {
+      "content": "[XXXXX328]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50628": {
+      "content": "[XXXXX889]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50629": {
+      "content": "[XXXXX1141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50630": {
+      "content": "[XXXXX429]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50631": {
+      "content": "[XXXXX114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50632": {
+      "content": "[XXXXX523]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50633": {
+      "content": "[XXXXX833]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50634": {
+      "content": "[XXXXX927]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50635": {
+      "content": "[XXXXX297]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50636": {
+      "content": "[XXXXX812]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50637": {
+      "content": "[XXXXX1062]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50638": {
+      "content": "[XXXXX152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50639": {
+      "content": "[XXXXX1010]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50640": {
+      "content": "[XXXXX690]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50641": {
+      "content": "[XXXXX363]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50642": {
+      "content": "[XXXXX1103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50643": {
+      "content": "[XXXXX194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50644": {
+      "content": "[XXXXX844]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50645": {
+      "content": "[XXXXX667]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50646": {
+      "content": "[XXXXX720]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50647": {
+      "content": "[XXXXX770]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50648": {
+      "content": "[XXXXX515]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50649": {
+      "content": "[XXXXX196]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50650": {
+      "content": "[XXXXX283]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50651": {
+      "content": "[XXXXX95]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50652": {
+      "content": "[XXXXX528]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50653": {
+      "content": "[XXXXX749]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50654": {
+      "content": "[XXXXX934]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50655": {
+      "content": "[XXXXX1052]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50656": {
+      "content": "[XXXXX1188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50657": {
+      "content": "[XXXXX1001]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50658": {
+      "content": "[XXXXX785]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50659": {
+      "content": "[XXXXX393]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50660": {
+      "content": "[XXXXX502]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50661": {
+      "content": "[XXXXX404]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50662": {
+      "content": "[XXXXX129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50663": {
+      "content": "[XXXXX643]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50664": {
+      "content": "[XXXXX1086]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50665": {
+      "content": "[XXXXX1104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50666": {
+      "content": "[XXXXX326]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50667": {
+      "content": "[XXXXX330]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50668": {
+      "content": "[XXXXX620]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50669": {
+      "content": "[XXXXX193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50670": {
+      "content": "[XXXXX470]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50671": {
+      "content": "[XXXXX279]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50672": {
+      "content": "[XXXXX97]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50673": {
+      "content": "[XXXXX177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50674": {
+      "content": "[XXXXX510]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50675": {
+      "content": "[XXXXX225]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50676": {
+      "content": "[XXXXX572]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50677": {
+      "content": "[XXXXX777]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50678": {
+      "content": "[XXXXX1135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50679": {
+      "content": "[XXXXX1160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50680": {
+      "content": "[XXXXX558]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50681": {
+      "content": "[XXXXX416]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50682": {
+      "content": "[XXXXX246]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50683": {
+      "content": "[XXXXX799]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50684": {
+      "content": "[XXXXX153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50685": {
+      "content": "[XXXXX671]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50686": {
+      "content": "[XXXXX809]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50687": {
+      "content": "[XXXXX525]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50688": {
+      "content": "[XXXXX1004]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50689": {
+      "content": "[XXXXX1005]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50690": {
+      "content": "[XXXXX1194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50691": {
+      "content": "[XXXXX408]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50692": {
+      "content": "[XXXXX492]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50693": {
+      "content": "[XXXXX973]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50694": {
+      "content": "[XXXXX242]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50695": {
+      "content": "[XXXXX357]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50696": {
+      "content": "[XXXXX851]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50697": {
+      "content": "[XXXXX999]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50698": {
+      "content": "[XXXXX969]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50699": {
+      "content": "[XXXXX453]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50700": {
+      "content": "[XXXXX730]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50701": {
+      "content": "[XXXXX54]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50702": {
+      "content": "[XXXXX480]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50703": {
+      "content": "[XXXXX564]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50704": {
+      "content": "[XXXXX600]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50705": {
+      "content": "[XXXXX654]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50706": {
+      "content": "[XXXXX37]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50707": {
+      "content": "[XXXXX605]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50708": {
+      "content": "[XXXXX164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50709": {
+      "content": "[XXXXX395]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50710": {
+      "content": "[XXXXX401]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50711": {
+      "content": "[XXXXX446]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50712": {
+      "content": "[XXXXX658]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50713": {
+      "content": "[XXXXX60]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50714": {
+      "content": "[XXXXX107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50715": {
+      "content": "[XXXXX131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50716": {
+      "content": "[XXXXX387]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50717": {
+      "content": "[XXXXX67]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50718": {
+      "content": "[XXXXX743]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50719": {
+      "content": "[XXXXX657]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50720": {
+      "content": "[XXXXX418]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50721": {
+      "content": "[XXXXX787]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50722": {
+      "content": "[XXXXX838]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50723": {
+      "content": "[XXXXX298]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50724": {
+      "content": "[XXXXX1007]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50725": {
+      "content": "[XXXXX1027]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50726": {
+      "content": "[XXXXX1078]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50727": {
+      "content": "[XXXXX651]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50728": {
+      "content": "[XXXXX875]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50729": {
+      "content": "[XXXXX258]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50730": {
+      "content": "[XXXXX413]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50731": {
+      "content": "[XXXXX1092]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50732": {
+      "content": "[XXXXX124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50733": {
+      "content": "[XXXXX308]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50734": {
+      "content": "[XXXXX1085]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50735": {
+      "content": "[XXXXX1170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50736": {
+      "content": "[XXXXX38]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50737": {
+      "content": "[XXXXX438]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50738": {
+      "content": "[XXXXX475]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50739": {
+      "content": "[XXXXX900]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50740": {
+      "content": "[XXXXX263]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50741": {
+      "content": "[XXXXX166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50742": {
+      "content": "[XXXXX698]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50743": {
+      "content": "[XXXXX1127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50744": {
+      "content": "[XXXXX1181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50745": {
+      "content": "[XXXXX763]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50746": {
+      "content": "[XXXXX627]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50747": {
+      "content": "[XXXXX250]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50748": {
+      "content": "[XXXXX757]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50749": {
+      "content": "[XXXXX142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50750": {
+      "content": "[XXXXX794]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50751": {
+      "content": "[XXXXX128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50752": {
+      "content": "[XXXXX35]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50753": {
+      "content": "[XXXXX482]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50754": {
+      "content": "[XXXXX834]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50755": {
+      "content": "[XXXXX679]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50756": {
+      "content": "[XXXXX839]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50757": {
+      "content": "[XXXXX138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50758": {
+      "content": "[XXXXX1066]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50759": {
+      "content": "[XXXXX116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50760": {
+      "content": "[XXXXX317]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50761": {
+      "content": "[XXXXX490]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50762": {
+      "content": "[XXXXX443]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50763": {
+      "content": "[XXXXX879]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50764": {
+      "content": "[XXXXX1101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50765": {
+      "content": "[XXXXX711]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50766": {
+      "content": "[XXXXX123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50767": {
+      "content": "[XXXXX1152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50768": {
+      "content": "[XXXXX692]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50769": {
+      "content": "[XXXXX555]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50770": {
+      "content": "[XXXXX266]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50771": {
+      "content": "[XXXXX0]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50772": {
+      "content": "[XXXXX332]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50773": {
+      "content": "[XXXXX497]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50774": {
+      "content": "[XXXXX904]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50775": {
+      "content": "[XXXXX1019]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50776": {
+      "content": "[XXXXX709]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50777": {
+      "content": "[XXXXX351]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50778": {
+      "content": "[XXXXX764]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50779": {
+      "content": "[XXXXX625]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50780": {
+      "content": "[XXXXX798]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50781": {
+      "content": "[XXXXX205]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50782": {
+      "content": "[XXXXX922]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50783": {
+      "content": "[XXXXX1075]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50784": {
+      "content": "[XXXXX8]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50785": {
+      "content": "[XXXXX422]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50786": {
+      "content": "[XXXXX638]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50787": {
+      "content": "[XXXXX98]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50788": {
+      "content": "[XXXXX814]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50789": {
+      "content": "[XXXXX1057]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50790": {
+      "content": "[XXXXX1070]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50791": {
+      "content": "[XXXXX411]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50792": {
+      "content": "[XXXXX768]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50793": {
+      "content": "[XXXXX1165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50794": {
+      "content": "[XXXXX888]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50795": {
+      "content": "[XXXXX636]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50796": {
+      "content": "[XXXXX1047]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50797": {
+      "content": "[XXXXX960]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50798": {
+      "content": "[XXXXX910]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50799": {
+      "content": "[XXXXX42]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50800": {
+      "content": "[XXXXX238]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50801": {
+      "content": "[XXXXX383]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50802": {
+      "content": "[XXXXX1032]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50803": {
+      "content": "[XXXXX577]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50804": {
+      "content": "[XXXXX268]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50805": {
+      "content": "[XXXXX179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50806": {
+      "content": "[XXXXX1076]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50807": {
+      "content": "[XXXXX1167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50808": {
+      "content": "[XXXXX1172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50809": {
+      "content": "[XXXXX665]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50810": {
+      "content": "[XXXXX126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50811": {
+      "content": "[XXXXX347]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50812": {
+      "content": "[XXXXX544]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50813": {
+      "content": "[XXXXX1026]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50814": {
+      "content": "[XXXXX159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50815": {
+      "content": "[XXXXX503]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50816": {
+      "content": "[XXXXX583]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50817": {
+      "content": "[XXXXX668]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50818": {
+      "content": "[XXXXX1115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50819": {
+      "content": "[XXXXX112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50820": {
+      "content": "[XXXXX154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50821": {
+      "content": "[XXXXX761]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50822": {
+      "content": "[XXXXX540]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50823": {
+      "content": "[XXXXX755]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50824": {
+      "content": "[XXXXX255]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50825": {
+      "content": "[XXXXX459]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50826": {
+      "content": "[XXXXX1090]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50827": {
+      "content": "[XXXXX689]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50828": {
+      "content": "[XXXXX589]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50829": {
+      "content": "[XXXXX122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50830": {
+      "content": "[XXXXX789]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50831": {
+      "content": "[XXXXX481]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50832": {
+      "content": "[XXXXX1044]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50833": {
+      "content": "[XXXXX274]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50834": {
+      "content": "[XXXXX957]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50835": {
+      "content": "[XXXXX1121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50836": {
+      "content": "[XXXXX464]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50837": {
+      "content": "[XXXXX495]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50838": {
+      "content": "[XXXXX1097]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50839": {
+      "content": "[XXXXX581]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50840": {
+      "content": "[XXXXX200]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50841": {
+      "content": "[XXXXX954]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50842": {
+      "content": "[XXXXX48]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50843": {
+      "content": "[XXXXX855]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50844": {
+      "content": "[XXXXX419]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50845": {
+      "content": "[XXXXX919]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50846": {
+      "content": "[XXXXX451]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50847": {
+      "content": "[XXXXX869]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50848": {
+      "content": "[XXXXX1082]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50849": {
+      "content": "[XXXXX1185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50850": {
+      "content": "[XXXXX859]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50851": {
+      "content": "[XXXXX1139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50852": {
+      "content": "[XXXXX1072]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50853": {
+      "content": "[XXXXX220]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50854": {
+      "content": "[XXXXX465]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50855": {
+      "content": "[XXXXX1105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50856": {
+      "content": "[XXXXX1093]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50857": {
+      "content": "[XXXXX953]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50858": {
+      "content": "[XXXXX1187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50859": {
+      "content": "[XXXXX311]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50860": {
+      "content": "[XXXXX403]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50861": {
+      "content": "[XXXXX684]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50862": {
+      "content": "[XXXXX426]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50863": {
+      "content": "[XXXXX68]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50864": {
+      "content": "[XXXXX277]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50865": {
+      "content": "[XXXXX437]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50866": {
+      "content": "[XXXXX896]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50867": {
+      "content": "[XXXXX899]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50868": {
+      "content": "[XXXXX878]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50869": {
+      "content": "[XXXXX1073]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50870": {
+      "content": "[XXXXX774]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50871": {
+      "content": "[XXXXX315]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50872": {
+      "content": "[XXXXX631]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50873": {
+      "content": "[XXXXX223]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50874": {
+      "content": "[XXXXX86]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50875": {
+      "content": "[XXXXX607]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50876": {
+      "content": "[XXXXX149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50877": {
+      "content": "[XXXXX566]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50878": {
+      "content": "[XXXXX740]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50879": {
+      "content": "[XXXXX265]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50880": {
+      "content": "[XXXXX399]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50881": {
+      "content": "[XXXXX1053]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50882": {
+      "content": "[XXXXX1077]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50883": {
+      "content": "[XXXXX336]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50884": {
+      "content": "[XXXXX734]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50885": {
+      "content": "[XXXXX289]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50886": {
+      "content": "[XXXXX221]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50887": {
+      "content": "[XXXXX580]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50888": {
+      "content": "[XXXXX406]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50889": {
+      "content": "[XXXXX854]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50890": {
+      "content": "[XXXXX673]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50891": {
+      "content": "[XXXXX1146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50892": {
+      "content": "[XXXXX29]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50893": {
+      "content": "[XXXXX496]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50894": {
+      "content": "[XXXXX241]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50895": {
+      "content": "[XXXXX929]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50896": {
+      "content": "[XXXXX169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50897": {
+      "content": "[XXXXX1153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50898": {
+      "content": "[XXXXX440]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50899": {
+      "content": "[XXXXX385]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50900": {
+      "content": "[XXXXX499]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50901": {
+      "content": "[XXXXX718]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50902": {
+      "content": "[XXXXX848]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50903": {
+      "content": "[XXXXX877]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50904": {
+      "content": "[XXXXX641]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50905": {
+      "content": "[XXXXX1137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50906": {
+      "content": "[XXXXX269]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50907": {
+      "content": "[XXXXX521]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50908": {
+      "content": "[XXXXX234]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50909": {
+      "content": "[XXXXX987]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50910": {
+      "content": "[XXXXX741]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50911": {
+      "content": "[XXXXX349]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50912": {
+      "content": "[XXXXX93]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50913": {
+      "content": "[XXXXX247]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50914": {
+      "content": "[XXXXX961]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50915": {
+      "content": "[XXXXX1120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50916": {
+      "content": "[XXXXX369]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50917": {
+      "content": "[XXXXX479]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50918": {
+      "content": "[XXXXX892]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50919": {
+      "content": "[XXXXX553]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50920": {
+      "content": "[XXXXX906]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50921": {
+      "content": "[XXXXX571]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50922": {
+      "content": "[XXXXX1046]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50923": {
+      "content": "[XXXXX206]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50924": {
+      "content": "[XXXXX488]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50925": {
+      "content": "[XXXXX445]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50926": {
+      "content": "[XXXXX524]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50927": {
+      "content": "[XXXXX228]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50928": {
+      "content": "[XXXXX998]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50929": {
+      "content": "[XXXXX675]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50930": {
+      "content": "[XXXXX732]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50931": {
+      "content": "[XXXXX1028]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50932": {
+      "content": "[XXXXX494]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50933": {
+      "content": "[XXXXX965]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50934": {
+      "content": "[XXXXX1021]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50935": {
+      "content": "[XXXXX726]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50936": {
+      "content": "[XXXXX168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50937": {
+      "content": "[XXXXX606]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50938": {
+      "content": "[XXXXX974]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50939": {
+      "content": "[XXXXX504]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50940": {
+      "content": "[XXXXX556]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50941": {
+      "content": "[XXXXX1159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50942": {
+      "content": "[XXXXX417]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50943": {
+      "content": "[XXXXX1175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50944": {
+      "content": "[XXXXX1142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50945": {
+      "content": "[XXXXX753]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50946": {
+      "content": "[XXXXX824]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50947": {
+      "content": "[XXXXX251]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50948": {
+      "content": "[XXXXX345]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50949": {
+      "content": "[XXXXX610]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50950": {
+      "content": "[XXXXX276]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50951": {
+      "content": "[XXXXX783]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50952": {
+      "content": "[XXXXX74]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50953": {
+      "content": "[XXXXX1050]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50954": {
+      "content": "[XXXXX71]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50955": {
+      "content": "[XXXXX360]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50956": {
+      "content": "[XXXXX512]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50957": {
+      "content": "[XXXXX341]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50958": {
+      "content": "[XXXXX375]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50959": {
+      "content": "[XXXXX637]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50960": {
+      "content": "[XXXXX1116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50961": {
+      "content": "[XXXXX9]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50962": {
+      "content": "[XXXXX738]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50963": {
+      "content": "[XXXXX856]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50964": {
+      "content": "[XXXXX979]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50965": {
+      "content": "[XXXXX825]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50966": {
+      "content": "[XXXXX852]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50967": {
+      "content": "[XXXXX215]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50968": {
+      "content": "[XXXXX91]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50969": {
+      "content": "[XXXXX257]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50970": {
+      "content": "[XXXXX325]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50971": {
+      "content": "[XXXXX368]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50972": {
+      "content": "[XXXXX1124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50973": {
+      "content": "[XXXXX188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50974": {
+      "content": "[XXXXX905]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50975": {
+      "content": "[XXXXX284]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50976": {
+      "content": "[XXXXX11]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50977": {
+      "content": "[XXXXX83]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50978": {
+      "content": "[XXXXX611]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50979": {
+      "content": "[XXXXX51]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50980": {
+      "content": "[XXXXX99]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50981": {
+      "content": "[XXXXX288]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50982": {
+      "content": "[XXXXX945]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50983": {
+      "content": "[XXXXX975]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50984": {
+      "content": "[XXXXX282]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50985": {
+      "content": "[XXXXX1068]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50986": {
+      "content": "[XXXXX1180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50987": {
+      "content": "[XXXXX574]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50988": {
+      "content": "[XXXXX305]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50989": {
+      "content": "[XXXXX565]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50990": {
+      "content": "[XXXXX865]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50991": {
+      "content": "[XXXXX1014]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50992": {
+      "content": "[XXXXX1138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50993": {
+      "content": "[XXXXX134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50994": {
+      "content": "[XXXXX321]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50995": {
+      "content": "[XXXXX752]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50996": {
+      "content": "[XXXXX108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50997": {
+      "content": "[XXXXX339]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50998": {
+      "content": "[XXXXX893]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50999": {
+      "content": "[XXXXX1177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51000": {
+      "content": "[XXXXX988]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51001": {
+      "content": "[XXXXX719]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51002": {
+      "content": "[XXXXX1059]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51003": {
+      "content": "[XXXXX421]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51004": {
+      "content": "[XXXXX670]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51005": {
+      "content": "[XXXXX949]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51006": {
+      "content": "[XXXXX14]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51007": {
+      "content": "[XXXXX1087]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51008": {
+      "content": "[XXXXX382]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51009": {
+      "content": "[XXXXX531]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51010": {
+      "content": "[XXXXX1079]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51011": {
+      "content": "[XXXXX1067]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51012": {
+      "content": "[XXXXX655]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51013": {
+      "content": "[XXXXX340]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51014": {
+      "content": "[XXXXX398]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51015": {
+      "content": "[XXXXX175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51016": {
+      "content": "[XXXXX232]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51017": {
+      "content": "[XXXXX244]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51018": {
+      "content": "[XXXXX568]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51019": {
+      "content": "[XXXXX1110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51020": {
+      "content": "[XXXXX191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51021": {
+      "content": "[XXXXX931]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51022": {
+      "content": "[XXXXX832]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51023": {
+      "content": "[XXXXX1030]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51024": {
+      "content": "[XXXXX144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51025": {
+      "content": "[XXXXX1102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51026": {
+      "content": "[XXXXX300]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51027": {
+      "content": "[XXXXX996]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51028": {
+      "content": "[XXXXX248]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51029": {
+      "content": "[XXXXX66]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51030": {
+      "content": "[XXXXX735]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51031": {
+      "content": "[XXXXX20]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51032": {
+      "content": "[XXXXX694]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51033": {
+      "content": "[XXXXX845]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51034": {
+      "content": "[XXXXX500]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51035": {
+      "content": "[XXXXX613]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51036": {
+      "content": "[XXXXX117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51037": {
+      "content": "[XXXXX886]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51038": {
+      "content": "[XXXXX261]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51039": {
+      "content": "[XXXXX567]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51040": {
+      "content": "[XXXXX541]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51041": {
+      "content": "[XXXXX529]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51042": {
+      "content": "[XXXXX699]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51043": {
+      "content": "[XXXXX715]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51044": {
+      "content": "[XXXXX1003]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51045": {
+      "content": "[XXXXX518]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51046": {
+      "content": "[XXXXX891]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51047": {
+      "content": "[XXXXX192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51048": {
+      "content": "[XXXXX53]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51049": {
+      "content": "[XXXXX428]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51050": {
+      "content": "[XXXXX183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51051": {
+      "content": "[XXXXX850]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51052": {
+      "content": "[XXXXX539]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51053": {
+      "content": "[XXXXX527]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51054": {
+      "content": "[XXXXX660]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51055": {
+      "content": "[XXXXX409]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51056": {
+      "content": "[XXXXX1122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51057": {
+      "content": "[XXXXX898]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51058": {
+      "content": "[XXXXX858]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51059": {
+      "content": "[XXXXX534]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51060": {
+      "content": "[XXXXX756]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51061": {
+      "content": "[XXXXX63]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51062": {
+      "content": "[XXXXX49]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51063": {
+      "content": "[XXXXX1106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51064": {
+      "content": "[XXXXX111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51065": {
+      "content": "[XXXXX955]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51066": {
+      "content": "[XXXXX309]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51067": {
+      "content": "[XXXXX538]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51068": {
+      "content": "[XXXXX823]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51069": {
+      "content": "[XXXXX867]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51070": {
+      "content": "[XXXXX587]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51071": {
+      "content": "[XXXXX243]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51072": {
+      "content": "[XXXXX677]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51073": {
+      "content": "[XXXXX1017]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51074": {
+      "content": "[XXXXX173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51075": {
+      "content": "[XXXXX682]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51076": {
+      "content": "[XXXXX1184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51077": {
+      "content": "[XXXXX1009]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51078": {
+      "content": "[XXXXX704]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51079": {
+      "content": "[XXXXX532]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51080": {
+      "content": "[XXXXX901]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51081": {
+      "content": "[XXXXX120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51082": {
+      "content": "[XXXXX388]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51083": {
+      "content": "[XXXXX405]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51084": {
+      "content": "[XXXXX788]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51085": {
+      "content": "[XXXXX728]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51086": {
+      "content": "[XXXXX425]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51087": {
+      "content": "[XXXXX883]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51088": {
+      "content": "[XXXXX837]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51089": {
+      "content": "[XXXXX350]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51090": {
+      "content": "[XXXXX716]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51091": {
+      "content": "[XXXXX579]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51092": {
+      "content": "[XXXXX909]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51093": {
+      "content": "[XXXXX884]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51094": {
+      "content": "[XXXXX1011]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51095": {
+      "content": "[XXXXX372]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51096": {
+      "content": "[XXXXX370]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51097": {
+      "content": "[XXXXX468]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51098": {
+      "content": "[XXXXX688]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51099": {
+      "content": "[XXXXX56]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51100": {
+      "content": "[XXXXX653]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51101": {
+      "content": "[XXXXX623]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51102": {
+      "content": "[XXXXX552]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51103": {
+      "content": "[XXXXX314]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51104": {
+      "content": "[XXXXX1018]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51105": {
+      "content": "[XXXXX1091]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51106": {
+      "content": "[XXXXX342]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51107": {
+      "content": "[XXXXX1065]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51108": {
+      "content": "[XXXXX1161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51109": {
+      "content": "[XXXXX959]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51110": {
+      "content": "[XXXXX1035]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51111": {
+      "content": "[XXXXX530]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51112": {
+      "content": "[XXXXX69]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51113": {
+      "content": "[XXXXX489]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51114": {
+      "content": "[XXXXX1]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51115": {
+      "content": "[XXXXX207]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51116": {
+      "content": "[XXXXX433]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51117": {
+      "content": "[XXXXX358]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51118": {
+      "content": "[XXXXX601]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51119": {
+      "content": "[XXXXX2]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51120": {
+      "content": "[XXXXX722]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51121": {
+      "content": "[XXXXX985]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51122": {
+      "content": "[XXXXX908]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51123": {
+      "content": "[XXXXX1024]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51124": {
+      "content": "[XXXXX1111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51125": {
+      "content": "[XXXXX1113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51126": {
+      "content": "[XXXXX678]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51127": {
+      "content": "[XXXXX19]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51128": {
+      "content": "[XXXXX1186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51129": {
+      "content": "[XXXXX808]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51130": {
+      "content": "[XXXXX493]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51131": {
+      "content": "[XXXXX1155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51132": {
+      "content": "[XXXXX217]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51133": {
+      "content": "[XXXXX616]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51134": {
+      "content": "[XXXXX835]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51135": {
+      "content": "[XXXXX994]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51136": {
+      "content": "[XXXXX484]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51137": {
+      "content": "[XXXXX362]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51138": {
+      "content": "[XXXXX582]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51139": {
+      "content": "[XXXXX1034]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51140": {
+      "content": "[XXXXX772]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51141": {
+      "content": "[XXXXX457]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51142": {
+      "content": "[XXXXX604]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51143": {
+      "content": "[XXXXX456]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51144": {
+      "content": "[XXXXX145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51145": {
+      "content": "[XXXXX476]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51146": {
+      "content": "[XXXXX218]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51147": {
+      "content": "[XXXXX199]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51148": {
+      "content": "[XXXXX364]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51149": {
+      "content": "[XXXXX302]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51150": {
+      "content": "[XXXXX881]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51151": {
+      "content": "[XXXXX1088]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51152": {
+      "content": "[XXXXX356]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51153": {
+      "content": "[XXXXX936]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51154": {
+      "content": "[XXXXX978]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51155": {
+      "content": "[XXXXX895]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51156": {
+      "content": "[XXXXX993]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51157": {
+      "content": "[XXXXX458]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51158": {
+      "content": "[XXXXX1002]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51159": {
+      "content": "[XXXXX1022]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51160": {
+      "content": "[XXXXX25]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51161": {
+      "content": "[XXXXX766]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51162": {
+      "content": "[XXXXX64]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51163": {
+      "content": "[XXXXX211]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51164": {
+      "content": "[XXXXX82]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51165": {
+      "content": "[XXXXX634]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51166": {
+      "content": "[XXXXX661]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51167": {
+      "content": "[XXXXX748]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51168": {
+      "content": "[XXXXX778]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51169": {
+      "content": "[XXXXX24]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51170": {
+      "content": "[XXXXX448]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51171": {
+      "content": "[XXXXX887]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51172": {
+      "content": "[XXXXX890]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51173": {
+      "content": "[XXXXX754]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51174": {
+      "content": "[XXXXX343]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51175": {
+      "content": "[XXXXX1069]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51176": {
+      "content": "[XXXXX294]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51177": {
+      "content": "[XXXXX295]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51178": {
+      "content": "[XXXXX197]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51179": {
+      "content": "[XXXXX210]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51180": {
+      "content": "[XXXXX630]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51181": {
+      "content": "[XXXXX707]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51182": {
+      "content": "[XXXXX864]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51183": {
+      "content": "[XXXXX391]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51184": {
+      "content": "[XXXXX338]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51185": {
+      "content": "[XXXXX800]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51186": {
+      "content": "[XXXXX841]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51187": {
+      "content": "[XXXXX967]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51188": {
+      "content": "[XXXXX793]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51189": {
+      "content": "[XXXXX916]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51190": {
+      "content": "[XXXXX603]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51191": {
+      "content": "[XXXXX270]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51192": {
+      "content": "[XXXXX105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51193": {
+      "content": "[XXXXX1016]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51194": {
+      "content": "[XXXXX804]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51195": {
+      "content": "[XXXXX264]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51196": {
+      "content": "[XXXXX155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51197": {
+      "content": "[XXXXX1190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51198": {
+      "content": "[XXXXX813]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51199": {
+      "content": "[XXXXX546]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "keep_accents": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}
diff --git a/checkpoint-6000/trainer_state.json b/checkpoint-6000/trainer_state.json
new file mode 100644
index 0000000..ce8eb86
--- /dev/null
+++ b/checkpoint-6000/trainer_state.json
@@ -0,0 +1,12166 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 4.971002485501243,
+  "eval_steps": 500,
+  "global_step": 6000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "entropy": 7.218191003799438,
+      "epoch": 0.004142502071251036,
+      "grad_norm": 1.265625,
+      "learning_rate": 2e-06,
+      "loss": 6.8898,
+      "mean_token_accuracy": 0.08805170804262161,
+      "num_tokens": 9149.0,
+      "step": 5
+    },
+    {
+      "entropy": 7.191673707962036,
+      "epoch": 0.008285004142502071,
+      "grad_norm": 1.5078125,
+      "learning_rate": 4.5e-06,
+      "loss": 6.7268,
+      "mean_token_accuracy": 0.09304728880524635,
+      "num_tokens": 16800.0,
+      "step": 10
+    },
+    {
+      "entropy": 7.134524202346801,
+      "epoch": 0.012427506213753107,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7e-06,
+      "loss": 6.8905,
+      "mean_token_accuracy": 0.0921505056321621,
+      "num_tokens": 26617.0,
+      "step": 15
+    },
+    {
+      "entropy": 7.115550088882446,
+      "epoch": 0.016570008285004142,
+      "grad_norm": 1.25,
+      "learning_rate": 9.5e-06,
+      "loss": 6.8021,
+      "mean_token_accuracy": 0.09268744736909866,
+      "num_tokens": 35855.0,
+      "step": 20
+    },
+    {
+      "entropy": 7.12396879196167,
+      "epoch": 0.020712510356255178,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.2e-05,
+      "loss": 7.0094,
+      "mean_token_accuracy": 0.08752714470028877,
+      "num_tokens": 45644.0,
+      "step": 25
+    },
+    {
+      "entropy": 7.054446792602539,
+      "epoch": 0.024855012427506214,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.4500000000000002e-05,
+      "loss": 6.8922,
+      "mean_token_accuracy": 0.09398627206683159,
+      "num_tokens": 54641.0,
+      "step": 30
+    },
+    {
+      "entropy": 7.012255907058716,
+      "epoch": 0.02899751449875725,
+      "grad_norm": 1.0234375,
+      "learning_rate": 1.7000000000000003e-05,
+      "loss": 6.7519,
+      "mean_token_accuracy": 0.08958807587623596,
+      "num_tokens": 63924.0,
+      "step": 35
+    },
+    {
+      "entropy": 7.068031549453735,
+      "epoch": 0.033140016570008285,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.95e-05,
+      "loss": 6.89,
+      "mean_token_accuracy": 0.09437783882021904,
+      "num_tokens": 73452.0,
+      "step": 40
+    },
+    {
+      "entropy": 7.06072301864624,
+      "epoch": 0.037282518641259324,
+      "grad_norm": 1.0234375,
+      "learning_rate": 2.2e-05,
+      "loss": 6.9455,
+      "mean_token_accuracy": 0.0851291574537754,
+      "num_tokens": 82731.0,
+      "step": 45
+    },
+    {
+      "entropy": 7.090083169937134,
+      "epoch": 0.041425020712510356,
+      "grad_norm": 1.1015625,
+      "learning_rate": 2.4500000000000003e-05,
+      "loss": 6.7734,
+      "mean_token_accuracy": 0.09048294499516488,
+      "num_tokens": 92626.0,
+      "step": 50
+    },
+    {
+      "entropy": 7.149203157424926,
+      "epoch": 0.045567522783761395,
+      "grad_norm": 1.21875,
+      "learning_rate": 2.7e-05,
+      "loss": 6.9497,
+      "mean_token_accuracy": 0.08217904865741729,
+      "num_tokens": 101380.0,
+      "step": 55
+    },
+    {
+      "entropy": 7.119951963424683,
+      "epoch": 0.04971002485501243,
+      "grad_norm": 1.046875,
+      "learning_rate": 2.95e-05,
+      "loss": 6.8604,
+      "mean_token_accuracy": 0.09202293381094932,
+      "num_tokens": 109895.0,
+      "step": 60
+    },
+    {
+      "entropy": 7.2014998435974125,
+      "epoch": 0.053852526926263466,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.2e-05,
+      "loss": 6.8449,
+      "mean_token_accuracy": 0.09257669150829315,
+      "num_tokens": 119203.0,
+      "step": 65
+    },
+    {
+      "entropy": 7.1111664295196535,
+      "epoch": 0.0579950289975145,
+      "grad_norm": 1.1484375,
+      "learning_rate": 3.4500000000000005e-05,
+      "loss": 6.7903,
+      "mean_token_accuracy": 0.09657297283411026,
+      "num_tokens": 127572.0,
+      "step": 70
+    },
+    {
+      "entropy": 7.04930944442749,
+      "epoch": 0.06213753106876554,
+      "grad_norm": 1.03125,
+      "learning_rate": 3.7e-05,
+      "loss": 6.8304,
+      "mean_token_accuracy": 0.09063600301742554,
+      "num_tokens": 137161.0,
+      "step": 75
+    },
+    {
+      "entropy": 7.044711875915527,
+      "epoch": 0.06628003314001657,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.95e-05,
+      "loss": 6.9451,
+      "mean_token_accuracy": 0.08874713778495788,
+      "num_tokens": 145991.0,
+      "step": 80
+    },
+    {
+      "entropy": 7.130092525482178,
+      "epoch": 0.07042253521126761,
+      "grad_norm": 1.0546875,
+      "learning_rate": 4.2000000000000004e-05,
+      "loss": 6.8464,
+      "mean_token_accuracy": 0.08955071866512299,
+      "num_tokens": 154927.0,
+      "step": 85
+    },
+    {
+      "entropy": 7.090402746200562,
+      "epoch": 0.07456503728251865,
+      "grad_norm": 1.34375,
+      "learning_rate": 4.45e-05,
+      "loss": 6.7595,
+      "mean_token_accuracy": 0.09832768961787224,
+      "num_tokens": 163234.0,
+      "step": 90
+    },
+    {
+      "entropy": 7.08957576751709,
+      "epoch": 0.07870753935376967,
+      "grad_norm": 1.015625,
+      "learning_rate": 4.7000000000000004e-05,
+      "loss": 6.7163,
+      "mean_token_accuracy": 0.09379880875349045,
+      "num_tokens": 171554.0,
+      "step": 95
+    },
+    {
+      "entropy": 7.044517278671265,
+      "epoch": 0.08285004142502071,
+      "grad_norm": 1.1328125,
+      "learning_rate": 4.9500000000000004e-05,
+      "loss": 6.8173,
+      "mean_token_accuracy": 0.0955286517739296,
+      "num_tokens": 180171.0,
+      "step": 100
+    },
+    {
+      "entropy": 7.050950908660889,
+      "epoch": 0.08699254349627175,
+      "grad_norm": 1.0859375,
+      "learning_rate": 5.2e-05,
+      "loss": 6.761,
+      "mean_token_accuracy": 0.09741089940071106,
+      "num_tokens": 189216.0,
+      "step": 105
+    },
+    {
+      "entropy": 7.173562717437744,
+      "epoch": 0.09113504556752279,
+      "grad_norm": 1.015625,
+      "learning_rate": 5.45e-05,
+      "loss": 6.9519,
+      "mean_token_accuracy": 0.08675800338387489,
+      "num_tokens": 200022.0,
+      "step": 110
+    },
+    {
+      "entropy": 7.183744478225708,
+      "epoch": 0.09527754763877382,
+      "grad_norm": 1.2265625,
+      "learning_rate": 5.7e-05,
+      "loss": 6.8642,
+      "mean_token_accuracy": 0.09210581332445145,
+      "num_tokens": 208686.0,
+      "step": 115
+    },
+    {
+      "entropy": 7.121539115905762,
+      "epoch": 0.09942004971002485,
+      "grad_norm": 1.1875,
+      "learning_rate": 5.9499999999999996e-05,
+      "loss": 6.8829,
+      "mean_token_accuracy": 0.09462191313505172,
+      "num_tokens": 218266.0,
+      "step": 120
+    },
+    {
+      "entropy": 7.006736946105957,
+      "epoch": 0.1035625517812759,
+      "grad_norm": 1.046875,
+      "learning_rate": 6.2e-05,
+      "loss": 6.7523,
+      "mean_token_accuracy": 0.08771666437387467,
+      "num_tokens": 227658.0,
+      "step": 125
+    },
+    {
+      "entropy": 7.040027761459351,
+      "epoch": 0.10770505385252693,
+      "grad_norm": 1.1015625,
+      "learning_rate": 6.450000000000001e-05,
+      "loss": 6.7014,
+      "mean_token_accuracy": 0.1004502885043621,
+      "num_tokens": 236301.0,
+      "step": 130
+    },
+    {
+      "entropy": 7.106470441818237,
+      "epoch": 0.11184755592377796,
+      "grad_norm": 1.1171875,
+      "learning_rate": 6.7e-05,
+      "loss": 6.8424,
+      "mean_token_accuracy": 0.08812138065695763,
+      "num_tokens": 246355.0,
+      "step": 135
+    },
+    {
+      "entropy": 7.174679756164551,
+      "epoch": 0.115990057995029,
+      "grad_norm": 1.15625,
+      "learning_rate": 6.950000000000001e-05,
+      "loss": 6.8174,
+      "mean_token_accuracy": 0.0924198254942894,
+      "num_tokens": 256023.0,
+      "step": 140
+    },
+    {
+      "entropy": 7.10174069404602,
+      "epoch": 0.12013256006628004,
+      "grad_norm": 0.9921875,
+      "learning_rate": 7.2e-05,
+      "loss": 6.9036,
+      "mean_token_accuracy": 0.08638993799686431,
+      "num_tokens": 266893.0,
+      "step": 145
+    },
+    {
+      "entropy": 7.019921684265137,
+      "epoch": 0.12427506213753108,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7.45e-05,
+      "loss": 6.6606,
+      "mean_token_accuracy": 0.08872481286525727,
+      "num_tokens": 276075.0,
+      "step": 150
+    },
+    {
+      "entropy": 7.042754888534546,
+      "epoch": 0.12841756420878211,
+      "grad_norm": 1.25,
+      "learning_rate": 7.7e-05,
+      "loss": 6.7532,
+      "mean_token_accuracy": 0.09296932220458984,
+      "num_tokens": 285529.0,
+      "step": 155
+    },
+    {
+      "entropy": 7.064399909973145,
+      "epoch": 0.13256006628003314,
+      "grad_norm": 1.15625,
+      "learning_rate": 7.950000000000001e-05,
+      "loss": 6.762,
+      "mean_token_accuracy": 0.09406789913773536,
+      "num_tokens": 294403.0,
+      "step": 160
+    },
+    {
+      "entropy": 7.152362823486328,
+      "epoch": 0.13670256835128416,
+      "grad_norm": 1.28125,
+      "learning_rate": 8.2e-05,
+      "loss": 6.8553,
+      "mean_token_accuracy": 0.09358441680669785,
+      "num_tokens": 303507.0,
+      "step": 165
+    },
+    {
+      "entropy": 7.071487474441528,
+      "epoch": 0.14084507042253522,
+      "grad_norm": 1.21875,
+      "learning_rate": 8.450000000000001e-05,
+      "loss": 6.7534,
+      "mean_token_accuracy": 0.09645206108689308,
+      "num_tokens": 312393.0,
+      "step": 170
+    },
+    {
+      "entropy": 6.956210470199585,
+      "epoch": 0.14498757249378624,
+      "grad_norm": 1.0859375,
+      "learning_rate": 8.7e-05,
+      "loss": 6.7226,
+      "mean_token_accuracy": 0.09953253641724587,
+      "num_tokens": 321309.0,
+      "step": 175
+    },
+    {
+      "entropy": 7.2200812816619875,
+      "epoch": 0.1491300745650373,
+      "grad_norm": 1.1328125,
+      "learning_rate": 8.95e-05,
+      "loss": 6.7879,
+      "mean_token_accuracy": 0.09582221284508705,
+      "num_tokens": 330217.0,
+      "step": 180
+    },
+    {
+      "entropy": 6.964824962615967,
+      "epoch": 0.15327257663628832,
+      "grad_norm": 1.2109375,
+      "learning_rate": 9.2e-05,
+      "loss": 6.8296,
+      "mean_token_accuracy": 0.09584516286849976,
+      "num_tokens": 339587.0,
+      "step": 185
+    },
+    {
+      "entropy": 7.104565525054932,
+      "epoch": 0.15741507870753935,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.45e-05,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.09563353508710862,
+      "num_tokens": 349367.0,
+      "step": 190
+    },
+    {
+      "entropy": 6.90956711769104,
+      "epoch": 0.1615575807787904,
+      "grad_norm": 1.1953125,
+      "learning_rate": 9.7e-05,
+      "loss": 6.6535,
+      "mean_token_accuracy": 0.09533214569091797,
+      "num_tokens": 358272.0,
+      "step": 195
+    },
+    {
+      "entropy": 7.184430170059204,
+      "epoch": 0.16570008285004142,
+      "grad_norm": 1.1875,
+      "learning_rate": 9.95e-05,
+      "loss": 6.8847,
+      "mean_token_accuracy": 0.09342379868030548,
+      "num_tokens": 367709.0,
+      "step": 200
+    },
+    {
+      "entropy": 7.108258152008057,
+      "epoch": 0.16984258492129245,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000102,
+      "loss": 6.7363,
+      "mean_token_accuracy": 0.09321728497743606,
+      "num_tokens": 376180.0,
+      "step": 205
+    },
+    {
+      "entropy": 7.143853282928466,
+      "epoch": 0.1739850869925435,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00010449999999999999,
+      "loss": 6.8927,
+      "mean_token_accuracy": 0.08639989122748375,
+      "num_tokens": 385636.0,
+      "step": 210
+    },
+    {
+      "entropy": 7.005528688430786,
+      "epoch": 0.17812758906379453,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000107,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.10387283116579056,
+      "num_tokens": 394486.0,
+      "step": 215
+    },
+    {
+      "entropy": 7.066776275634766,
+      "epoch": 0.18227009113504558,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0001095,
+      "loss": 6.7286,
+      "mean_token_accuracy": 0.09739693626761436,
+      "num_tokens": 403765.0,
+      "step": 220
+    },
+    {
+      "entropy": 6.9391695022583,
+      "epoch": 0.1864125932062966,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000112,
+      "loss": 6.7198,
+      "mean_token_accuracy": 0.09883175939321517,
+      "num_tokens": 412988.0,
+      "step": 225
+    },
+    {
+      "entropy": 7.029045248031617,
+      "epoch": 0.19055509527754763,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0001145,
+      "loss": 6.6219,
+      "mean_token_accuracy": 0.09850638806819915,
+      "num_tokens": 422096.0,
+      "step": 230
+    },
+    {
+      "entropy": 7.055552911758423,
+      "epoch": 0.19469759734879868,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011700000000000001,
+      "loss": 6.7907,
+      "mean_token_accuracy": 0.08912368193268776,
+      "num_tokens": 431333.0,
+      "step": 235
+    },
+    {
+      "entropy": 7.076433277130127,
+      "epoch": 0.1988400994200497,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00011949999999999999,
+      "loss": 6.825,
+      "mean_token_accuracy": 0.0998022735118866,
+      "num_tokens": 440382.0,
+      "step": 240
+    },
+    {
+      "entropy": 7.098494958877564,
+      "epoch": 0.20298260149130073,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000122,
+      "loss": 6.7184,
+      "mean_token_accuracy": 0.1035430908203125,
+      "num_tokens": 448469.0,
+      "step": 245
+    },
+    {
+      "entropy": 7.065437746047974,
+      "epoch": 0.2071251035625518,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001245,
+      "loss": 6.7562,
+      "mean_token_accuracy": 0.0973759837448597,
+      "num_tokens": 457356.0,
+      "step": 250
+    },
+    {
+      "entropy": 7.103154182434082,
+      "epoch": 0.2112676056338028,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000127,
+      "loss": 6.7821,
+      "mean_token_accuracy": 0.09721289053559304,
+      "num_tokens": 465928.0,
+      "step": 255
+    },
+    {
+      "entropy": 6.99681601524353,
+      "epoch": 0.21541010770505387,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0001295,
+      "loss": 6.6931,
+      "mean_token_accuracy": 0.09931288808584213,
+      "num_tokens": 475269.0,
+      "step": 260
+    },
+    {
+      "entropy": 6.960800266265869,
+      "epoch": 0.2195526097763049,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000132,
+      "loss": 6.679,
+      "mean_token_accuracy": 0.09512786641716957,
+      "num_tokens": 485450.0,
+      "step": 265
+    },
+    {
+      "entropy": 7.0514568328857425,
+      "epoch": 0.22369511184755592,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00013450000000000002,
+      "loss": 6.7347,
+      "mean_token_accuracy": 0.10228226557374001,
+      "num_tokens": 494029.0,
+      "step": 270
+    },
+    {
+      "entropy": 6.9516912460327145,
+      "epoch": 0.22783761391880697,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013700000000000002,
+      "loss": 6.676,
+      "mean_token_accuracy": 0.10202871784567832,
+      "num_tokens": 503253.0,
+      "step": 275
+    },
+    {
+      "entropy": 7.018160057067871,
+      "epoch": 0.231980115990058,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0001395,
+      "loss": 6.6685,
+      "mean_token_accuracy": 0.09529435187578202,
+      "num_tokens": 512857.0,
+      "step": 280
+    },
+    {
+      "entropy": 6.9714985370635985,
+      "epoch": 0.23612261806130902,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00014199999999999998,
+      "loss": 6.7719,
+      "mean_token_accuracy": 0.09288227260112762,
+      "num_tokens": 522319.0,
+      "step": 285
+    },
+    {
+      "entropy": 7.113205528259277,
+      "epoch": 0.24026512013256007,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0001445,
+      "loss": 6.7224,
+      "mean_token_accuracy": 0.09471780881285667,
+      "num_tokens": 531469.0,
+      "step": 290
+    },
+    {
+      "entropy": 6.976934480667114,
+      "epoch": 0.2444076222038111,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000147,
+      "loss": 6.756,
+      "mean_token_accuracy": 0.09480062946677208,
+      "num_tokens": 540470.0,
+      "step": 295
+    },
+    {
+      "entropy": 7.011937475204467,
+      "epoch": 0.24855012427506215,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0001495,
+      "loss": 6.7584,
+      "mean_token_accuracy": 0.09700122326612473,
+      "num_tokens": 550317.0,
+      "step": 300
+    },
+    {
+      "entropy": 7.0365160465240475,
+      "epoch": 0.2526926263463132,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000152,
+      "loss": 6.7067,
+      "mean_token_accuracy": 0.09434132501482964,
+      "num_tokens": 559409.0,
+      "step": 305
+    },
+    {
+      "entropy": 6.928857326507568,
+      "epoch": 0.25683512841756423,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00015450000000000001,
+      "loss": 6.768,
+      "mean_token_accuracy": 0.10764710158109665,
+      "num_tokens": 568726.0,
+      "step": 310
+    },
+    {
+      "entropy": 7.103991413116455,
+      "epoch": 0.2609776304888152,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000157,
+      "loss": 6.7179,
+      "mean_token_accuracy": 0.0976541943848133,
+      "num_tokens": 577926.0,
+      "step": 315
+    },
+    {
+      "entropy": 7.047203779220581,
+      "epoch": 0.2651201325600663,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001595,
+      "loss": 6.7448,
+      "mean_token_accuracy": 0.09809661954641342,
+      "num_tokens": 586695.0,
+      "step": 320
+    },
+    {
+      "entropy": 7.039609956741333,
+      "epoch": 0.26926263463131733,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000162,
+      "loss": 6.771,
+      "mean_token_accuracy": 0.0949723981320858,
+      "num_tokens": 596250.0,
+      "step": 325
+    },
+    {
+      "entropy": 7.063632202148438,
+      "epoch": 0.27340513670256833,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00016450000000000001,
+      "loss": 6.8221,
+      "mean_token_accuracy": 0.09051206335425377,
+      "num_tokens": 605761.0,
+      "step": 330
+    },
+    {
+      "entropy": 7.019326877593994,
+      "epoch": 0.2775476387738194,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00016700000000000002,
+      "loss": 6.7365,
+      "mean_token_accuracy": 0.09872144013643265,
+      "num_tokens": 614313.0,
+      "step": 335
+    },
+    {
+      "entropy": 7.037422132492066,
+      "epoch": 0.28169014084507044,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00016950000000000003,
+      "loss": 6.7692,
+      "mean_token_accuracy": 0.09455474764108658,
+      "num_tokens": 624470.0,
+      "step": 340
+    },
+    {
+      "entropy": 7.039082098007202,
+      "epoch": 0.28583264291632143,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00017199999999999998,
+      "loss": 6.6843,
+      "mean_token_accuracy": 0.09269843101501465,
+      "num_tokens": 633458.0,
+      "step": 345
+    },
+    {
+      "entropy": 6.942268037796021,
+      "epoch": 0.2899751449875725,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00017449999999999999,
+      "loss": 6.6939,
+      "mean_token_accuracy": 0.09877684414386749,
+      "num_tokens": 643251.0,
+      "step": 350
+    },
+    {
+      "entropy": 6.99584732055664,
+      "epoch": 0.29411764705882354,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000177,
+      "loss": 6.7635,
+      "mean_token_accuracy": 0.09713540598750114,
+      "num_tokens": 652005.0,
+      "step": 355
+    },
+    {
+      "entropy": 7.006586170196533,
+      "epoch": 0.2982601491300746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0001795,
+      "loss": 6.6575,
+      "mean_token_accuracy": 0.10120807588100433,
+      "num_tokens": 661003.0,
+      "step": 360
+    },
+    {
+      "entropy": 6.874996137619019,
+      "epoch": 0.3024026512013256,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000182,
+      "loss": 6.6294,
+      "mean_token_accuracy": 0.09844254851341247,
+      "num_tokens": 670221.0,
+      "step": 365
+    },
+    {
+      "entropy": 7.155635738372803,
+      "epoch": 0.30654515327257664,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001845,
+      "loss": 6.9236,
+      "mean_token_accuracy": 0.0882349319756031,
+      "num_tokens": 680756.0,
+      "step": 370
+    },
+    {
+      "entropy": 6.94540753364563,
+      "epoch": 0.3106876553438277,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000187,
+      "loss": 6.6157,
+      "mean_token_accuracy": 0.10289054960012436,
+      "num_tokens": 689641.0,
+      "step": 375
+    },
+    {
+      "entropy": 6.87992377281189,
+      "epoch": 0.3148301574150787,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001895,
+      "loss": 6.5696,
+      "mean_token_accuracy": 0.09839320331811904,
+      "num_tokens": 698209.0,
+      "step": 380
+    },
+    {
+      "entropy": 6.823869276046753,
+      "epoch": 0.31897265948632975,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000192,
+      "loss": 6.5736,
+      "mean_token_accuracy": 0.10355777889490128,
+      "num_tokens": 706712.0,
+      "step": 385
+    },
+    {
+      "entropy": 7.037634468078613,
+      "epoch": 0.3231151615575808,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0001945,
+      "loss": 6.8017,
+      "mean_token_accuracy": 0.09728012606501579,
+      "num_tokens": 716087.0,
+      "step": 390
+    },
+    {
+      "entropy": 6.911249494552612,
+      "epoch": 0.3272576636288318,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00019700000000000002,
+      "loss": 6.6465,
+      "mean_token_accuracy": 0.09347675815224647,
+      "num_tokens": 725913.0,
+      "step": 395
+    },
+    {
+      "entropy": 6.944440317153931,
+      "epoch": 0.33140016570008285,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019950000000000002,
+      "loss": 6.7201,
+      "mean_token_accuracy": 0.10362306237220764,
+      "num_tokens": 735020.0,
+      "step": 400
+    },
+    {
+      "entropy": 6.985636854171753,
+      "epoch": 0.3355426677713339,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000202,
+      "loss": 6.6216,
+      "mean_token_accuracy": 0.09469136893749237,
+      "num_tokens": 744299.0,
+      "step": 405
+    },
+    {
+      "entropy": 6.883630275726318,
+      "epoch": 0.3396851698425849,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00020449999999999998,
+      "loss": 6.6099,
+      "mean_token_accuracy": 0.09694516137242318,
+      "num_tokens": 753231.0,
+      "step": 410
+    },
+    {
+      "entropy": 6.825357389450073,
+      "epoch": 0.34382767191383595,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000207,
+      "loss": 6.6717,
+      "mean_token_accuracy": 0.10230854973196983,
+      "num_tokens": 763043.0,
+      "step": 415
+    },
+    {
+      "entropy": 7.016851997375488,
+      "epoch": 0.347970173985087,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0002095,
+      "loss": 6.6905,
+      "mean_token_accuracy": 0.09913048222661018,
+      "num_tokens": 771977.0,
+      "step": 420
+    },
+    {
+      "entropy": 6.820244407653808,
+      "epoch": 0.352112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000212,
+      "loss": 6.6243,
+      "mean_token_accuracy": 0.1011092983186245,
+      "num_tokens": 780285.0,
+      "step": 425
+    },
+    {
+      "entropy": 6.956075525283813,
+      "epoch": 0.35625517812758906,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002145,
+      "loss": 6.6593,
+      "mean_token_accuracy": 0.09649045094847679,
+      "num_tokens": 789980.0,
+      "step": 430
+    },
+    {
+      "entropy": 6.984846019744873,
+      "epoch": 0.3603976801988401,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021700000000000002,
+      "loss": 6.6275,
+      "mean_token_accuracy": 0.10474459528923034,
+      "num_tokens": 798700.0,
+      "step": 435
+    },
+    {
+      "entropy": 6.767291498184204,
+      "epoch": 0.36454018227009116,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002195,
+      "loss": 6.7208,
+      "mean_token_accuracy": 0.09600067660212516,
+      "num_tokens": 808758.0,
+      "step": 440
+    },
+    {
+      "entropy": 7.046369791030884,
+      "epoch": 0.36868268434134216,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000222,
+      "loss": 6.6666,
+      "mean_token_accuracy": 0.10458802133798599,
+      "num_tokens": 817692.0,
+      "step": 445
+    },
+    {
+      "entropy": 6.95425066947937,
+      "epoch": 0.3728251864125932,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002245,
+      "loss": 6.7146,
+      "mean_token_accuracy": 0.10474570766091347,
+      "num_tokens": 827052.0,
+      "step": 450
+    },
+    {
+      "entropy": 6.895345544815063,
+      "epoch": 0.37696768848384427,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00022700000000000002,
+      "loss": 6.7139,
+      "mean_token_accuracy": 0.1091882586479187,
+      "num_tokens": 836442.0,
+      "step": 455
+    },
+    {
+      "entropy": 6.922871923446655,
+      "epoch": 0.38111019055509526,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00022950000000000002,
+      "loss": 6.5775,
+      "mean_token_accuracy": 0.10118989571928978,
+      "num_tokens": 846441.0,
+      "step": 460
+    },
+    {
+      "entropy": 6.8815388679504395,
+      "epoch": 0.3852526926263463,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00023200000000000003,
+      "loss": 6.6215,
+      "mean_token_accuracy": 0.10475475937128068,
+      "num_tokens": 856108.0,
+      "step": 465
+    },
+    {
+      "entropy": 6.848587274551392,
+      "epoch": 0.38939519469759737,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00023449999999999998,
+      "loss": 6.5833,
+      "mean_token_accuracy": 0.10137399956583977,
+      "num_tokens": 865788.0,
+      "step": 470
+    },
+    {
+      "entropy": 6.886804008483887,
+      "epoch": 0.39353769676884837,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000237,
+      "loss": 6.6302,
+      "mean_token_accuracy": 0.09514767676591873,
+      "num_tokens": 874833.0,
+      "step": 475
+    },
+    {
+      "entropy": 6.751422643661499,
+      "epoch": 0.3976801988400994,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002395,
+      "loss": 6.5997,
+      "mean_token_accuracy": 0.10276172533631325,
+      "num_tokens": 883685.0,
+      "step": 480
+    },
+    {
+      "entropy": 6.881311464309692,
+      "epoch": 0.40182270091135047,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000242,
+      "loss": 6.6001,
+      "mean_token_accuracy": 0.09796027019619942,
+      "num_tokens": 893908.0,
+      "step": 485
+    },
+    {
+      "entropy": 6.934821891784668,
+      "epoch": 0.40596520298260147,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002445,
+      "loss": 6.7142,
+      "mean_token_accuracy": 0.09827135354280472,
+      "num_tokens": 903081.0,
+      "step": 490
+    },
+    {
+      "entropy": 6.7868632793426515,
+      "epoch": 0.4101077050538525,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000247,
+      "loss": 6.5522,
+      "mean_token_accuracy": 0.10336750745773315,
+      "num_tokens": 912515.0,
+      "step": 495
+    },
+    {
+      "entropy": 6.886235475540161,
+      "epoch": 0.4142502071251036,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002495,
+      "loss": 6.5797,
+      "mean_token_accuracy": 0.1070313923060894,
+      "num_tokens": 921056.0,
+      "step": 500
+    },
+    {
+      "epoch": 0.4142502071251036,
+      "eval_entropy": 6.836038604728194,
+      "eval_loss": 6.684774875640869,
+      "eval_mean_token_accuracy": 0.10272799217021034,
+      "eval_num_tokens": 921056.0,
+      "eval_runtime": 2.7891,
+      "eval_samples_per_second": 1343.421,
+      "eval_steps_per_second": 168.152,
+      "step": 500
+    },
+    {
+      "entropy": 6.7657403469085695,
+      "epoch": 0.4183927091963546,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000252,
+      "loss": 6.5317,
+      "mean_token_accuracy": 0.10417452603578567,
+      "num_tokens": 931112.0,
+      "step": 505
+    },
+    {
+      "entropy": 6.821895503997803,
+      "epoch": 0.4225352112676056,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0002545,
+      "loss": 6.6605,
+      "mean_token_accuracy": 0.0978618748486042,
+      "num_tokens": 941120.0,
+      "step": 510
+    },
+    {
+      "entropy": 6.886211729049682,
+      "epoch": 0.4266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000257,
+      "loss": 6.6044,
+      "mean_token_accuracy": 0.09737976416945457,
+      "num_tokens": 950041.0,
+      "step": 515
+    },
+    {
+      "entropy": 6.879851579666138,
+      "epoch": 0.43082021541010773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002595,
+      "loss": 6.5907,
+      "mean_token_accuracy": 0.10606569275259972,
+      "num_tokens": 958608.0,
+      "step": 520
+    },
+    {
+      "entropy": 6.886484861373901,
+      "epoch": 0.43496271748135873,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.000262,
+      "loss": 6.7158,
+      "mean_token_accuracy": 0.09990910813212395,
+      "num_tokens": 966901.0,
+      "step": 525
+    },
+    {
+      "entropy": 6.767313003540039,
+      "epoch": 0.4391052195526098,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026450000000000003,
+      "loss": 6.5504,
+      "mean_token_accuracy": 0.10768762230873108,
+      "num_tokens": 976198.0,
+      "step": 530
+    },
+    {
+      "entropy": 6.892781782150268,
+      "epoch": 0.44324772162386084,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026700000000000004,
+      "loss": 6.624,
+      "mean_token_accuracy": 0.09861580505967141,
+      "num_tokens": 985248.0,
+      "step": 535
+    },
+    {
+      "entropy": 6.772344255447388,
+      "epoch": 0.44739022369511183,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00026950000000000005,
+      "loss": 6.5014,
+      "mean_token_accuracy": 0.1071978710591793,
+      "num_tokens": 993289.0,
+      "step": 540
+    },
+    {
+      "entropy": 6.820696449279785,
+      "epoch": 0.4515327257663629,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027200000000000005,
+      "loss": 6.5909,
+      "mean_token_accuracy": 0.10533165782690049,
+      "num_tokens": 1001784.0,
+      "step": 545
+    },
+    {
+      "entropy": 6.935409688949585,
+      "epoch": 0.45567522783761394,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002745,
+      "loss": 6.5627,
+      "mean_token_accuracy": 0.10804210156202317,
+      "num_tokens": 1010445.0,
+      "step": 550
+    },
+    {
+      "entropy": 6.745790100097656,
+      "epoch": 0.45981772990886494,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000277,
+      "loss": 6.6184,
+      "mean_token_accuracy": 0.10709234476089477,
+      "num_tokens": 1019084.0,
+      "step": 555
+    },
+    {
+      "entropy": 6.7490733623504635,
+      "epoch": 0.463960231980116,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002795,
+      "loss": 6.5249,
+      "mean_token_accuracy": 0.10461713373661041,
+      "num_tokens": 1027263.0,
+      "step": 560
+    },
+    {
+      "entropy": 6.876884937286377,
+      "epoch": 0.46810273405136704,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00028199999999999997,
+      "loss": 6.6233,
+      "mean_token_accuracy": 0.09752989709377288,
+      "num_tokens": 1036275.0,
+      "step": 565
+    },
+    {
+      "entropy": 6.765736055374146,
+      "epoch": 0.47224523612261804,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002845,
+      "loss": 6.7015,
+      "mean_token_accuracy": 0.09858408868312836,
+      "num_tokens": 1045208.0,
+      "step": 570
+    },
+    {
+      "entropy": 6.9024957656860355,
+      "epoch": 0.4763877381938691,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000287,
+      "loss": 6.6287,
+      "mean_token_accuracy": 0.1026283286511898,
+      "num_tokens": 1054703.0,
+      "step": 575
+    },
+    {
+      "entropy": 6.647345924377442,
+      "epoch": 0.48053024026512015,
+      "grad_norm": 1.5,
+      "learning_rate": 0.0002895,
+      "loss": 6.4841,
+      "mean_token_accuracy": 0.10212503597140313,
+      "num_tokens": 1063652.0,
+      "step": 580
+    },
+    {
+      "entropy": 6.717900657653809,
+      "epoch": 0.48467274233637114,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000292,
+      "loss": 6.5873,
+      "mean_token_accuracy": 0.10145951434969902,
+      "num_tokens": 1072070.0,
+      "step": 585
+    },
+    {
+      "entropy": 6.997959756851197,
+      "epoch": 0.4888152444076222,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002945,
+      "loss": 6.6143,
+      "mean_token_accuracy": 0.10064447894692422,
+      "num_tokens": 1079992.0,
+      "step": 590
+    },
+    {
+      "entropy": 6.657160854339599,
+      "epoch": 0.49295774647887325,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000297,
+      "loss": 6.628,
+      "mean_token_accuracy": 0.10435748845338821,
+      "num_tokens": 1088862.0,
+      "step": 595
+    },
+    {
+      "entropy": 6.773271942138672,
+      "epoch": 0.4971002485501243,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002995,
+      "loss": 6.4317,
+      "mean_token_accuracy": 0.10795770138502121,
+      "num_tokens": 1097614.0,
+      "step": 600
+    },
+    {
+      "entropy": 6.7102379322052,
+      "epoch": 0.5012427506213754,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000302,
+      "loss": 6.6288,
+      "mean_token_accuracy": 0.10706980749964715,
+      "num_tokens": 1107347.0,
+      "step": 605
+    },
+    {
+      "entropy": 6.8672473430633545,
+      "epoch": 0.5053852526926264,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003045,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10073774978518486,
+      "num_tokens": 1116707.0,
+      "step": 610
+    },
+    {
+      "entropy": 6.764383840560913,
+      "epoch": 0.5095277547638773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000307,
+      "loss": 6.6549,
+      "mean_token_accuracy": 0.10234303548932075,
+      "num_tokens": 1126356.0,
+      "step": 615
+    },
+    {
+      "entropy": 6.787193298339844,
+      "epoch": 0.5136702568351285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003095,
+      "loss": 6.5847,
+      "mean_token_accuracy": 0.10079671740531922,
+      "num_tokens": 1136281.0,
+      "step": 620
+    },
+    {
+      "entropy": 6.713733196258545,
+      "epoch": 0.5178127589063795,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000312,
+      "loss": 6.5355,
+      "mean_token_accuracy": 0.10429632142186165,
+      "num_tokens": 1145466.0,
+      "step": 625
+    },
+    {
+      "entropy": 6.7503923892974855,
+      "epoch": 0.5219552609776305,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003145,
+      "loss": 6.5409,
+      "mean_token_accuracy": 0.10918259546160698,
+      "num_tokens": 1154225.0,
+      "step": 630
+    },
+    {
+      "entropy": 6.761834907531738,
+      "epoch": 0.5260977630488816,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000317,
+      "loss": 6.5885,
+      "mean_token_accuracy": 0.09673135951161385,
+      "num_tokens": 1163872.0,
+      "step": 635
+    },
+    {
+      "entropy": 6.69431324005127,
+      "epoch": 0.5302402651201326,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003195,
+      "loss": 6.5244,
+      "mean_token_accuracy": 0.10705070868134499,
+      "num_tokens": 1172695.0,
+      "step": 640
+    },
+    {
+      "entropy": 6.651590061187744,
+      "epoch": 0.5343827671913836,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000322,
+      "loss": 6.3962,
+      "mean_token_accuracy": 0.11006554961204529,
+      "num_tokens": 1181291.0,
+      "step": 645
+    },
+    {
+      "entropy": 6.782713270187378,
+      "epoch": 0.5385252692626347,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00032450000000000003,
+      "loss": 6.5715,
+      "mean_token_accuracy": 0.10394523739814758,
+      "num_tokens": 1189927.0,
+      "step": 650
+    },
+    {
+      "entropy": 6.705166435241699,
+      "epoch": 0.5426677713338857,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00032700000000000003,
+      "loss": 6.5043,
+      "mean_token_accuracy": 0.10940467119216919,
+      "num_tokens": 1197913.0,
+      "step": 655
+    },
+    {
+      "entropy": 6.670699262619019,
+      "epoch": 0.5468102734051367,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032950000000000004,
+      "loss": 6.4309,
+      "mean_token_accuracy": 0.11147961542010307,
+      "num_tokens": 1207032.0,
+      "step": 660
+    },
+    {
+      "entropy": 6.640204334259034,
+      "epoch": 0.5509527754763878,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00033200000000000005,
+      "loss": 6.5397,
+      "mean_token_accuracy": 0.10571447387337685,
+      "num_tokens": 1215710.0,
+      "step": 665
+    },
+    {
+      "entropy": 6.694819068908691,
+      "epoch": 0.5550952775476388,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033450000000000005,
+      "loss": 6.52,
+      "mean_token_accuracy": 0.10049431845545768,
+      "num_tokens": 1225619.0,
+      "step": 670
+    },
+    {
+      "entropy": 6.649594163894653,
+      "epoch": 0.5592377796188898,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000337,
+      "loss": 6.4407,
+      "mean_token_accuracy": 0.11157044768333435,
+      "num_tokens": 1235000.0,
+      "step": 675
+    },
+    {
+      "entropy": 6.612611961364746,
+      "epoch": 0.5633802816901409,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003395,
+      "loss": 6.4462,
+      "mean_token_accuracy": 0.108580531924963,
+      "num_tokens": 1243594.0,
+      "step": 680
+    },
+    {
+      "entropy": 6.843221950531006,
+      "epoch": 0.5675227837613919,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000342,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10460855960845947,
+      "num_tokens": 1252279.0,
+      "step": 685
+    },
+    {
+      "entropy": 6.760235929489136,
+      "epoch": 0.5716652858326429,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034449999999999997,
+      "loss": 6.559,
+      "mean_token_accuracy": 0.10665302500128745,
+      "num_tokens": 1261314.0,
+      "step": 690
+    },
+    {
+      "entropy": 6.55326566696167,
+      "epoch": 0.575807787903894,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000347,
+      "loss": 6.4337,
+      "mean_token_accuracy": 0.11188110187649727,
+      "num_tokens": 1270854.0,
+      "step": 695
+    },
+    {
+      "entropy": 6.618375587463379,
+      "epoch": 0.579950289975145,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003495,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.11392810270190239,
+      "num_tokens": 1279183.0,
+      "step": 700
+    },
+    {
+      "entropy": 6.626208257675171,
+      "epoch": 0.584092792046396,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000352,
+      "loss": 6.5015,
+      "mean_token_accuracy": 0.10761247500777245,
+      "num_tokens": 1288347.0,
+      "step": 705
+    },
+    {
+      "entropy": 6.6855669021606445,
+      "epoch": 0.5882352941176471,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003545,
+      "loss": 6.5036,
+      "mean_token_accuracy": 0.10823310390114785,
+      "num_tokens": 1297449.0,
+      "step": 710
+    },
+    {
+      "entropy": 6.710147094726563,
+      "epoch": 0.5923777961888981,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000357,
+      "loss": 6.4688,
+      "mean_token_accuracy": 0.10904998034238815,
+      "num_tokens": 1306232.0,
+      "step": 715
+    },
+    {
+      "entropy": 6.6553794860839846,
+      "epoch": 0.5965202982601492,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003595,
+      "loss": 6.4857,
+      "mean_token_accuracy": 0.11109372302889824,
+      "num_tokens": 1315073.0,
+      "step": 720
+    },
+    {
+      "entropy": 6.674065732955933,
+      "epoch": 0.6006628003314002,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000362,
+      "loss": 6.5301,
+      "mean_token_accuracy": 0.10648825243115426,
+      "num_tokens": 1324629.0,
+      "step": 725
+    },
+    {
+      "entropy": 6.700368881225586,
+      "epoch": 0.6048053024026512,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0003645,
+      "loss": 6.6444,
+      "mean_token_accuracy": 0.10443340390920638,
+      "num_tokens": 1334152.0,
+      "step": 730
+    },
+    {
+      "entropy": 6.779498624801636,
+      "epoch": 0.6089478044739023,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000367,
+      "loss": 6.5946,
+      "mean_token_accuracy": 0.10130336955189705,
+      "num_tokens": 1343063.0,
+      "step": 735
+    },
+    {
+      "entropy": 6.684298419952393,
+      "epoch": 0.6130903065451533,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0003695,
+      "loss": 6.5241,
+      "mean_token_accuracy": 0.10516620799899101,
+      "num_tokens": 1352632.0,
+      "step": 740
+    },
+    {
+      "entropy": 6.582866573333741,
+      "epoch": 0.6172328086164043,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000372,
+      "loss": 6.4712,
+      "mean_token_accuracy": 0.10765027329325676,
+      "num_tokens": 1361103.0,
+      "step": 745
+    },
+    {
+      "entropy": 6.643687963485718,
+      "epoch": 0.6213753106876554,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003745,
+      "loss": 6.4642,
+      "mean_token_accuracy": 0.10832677409052849,
+      "num_tokens": 1370658.0,
+      "step": 750
+    },
+    {
+      "entropy": 6.64506516456604,
+      "epoch": 0.6255178127589064,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000377,
+      "loss": 6.4878,
+      "mean_token_accuracy": 0.10808288529515267,
+      "num_tokens": 1379817.0,
+      "step": 755
+    },
+    {
+      "entropy": 6.640752458572388,
+      "epoch": 0.6296603148301574,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003795,
+      "loss": 6.4418,
+      "mean_token_accuracy": 0.10874675288796425,
+      "num_tokens": 1389329.0,
+      "step": 760
+    },
+    {
+      "entropy": 6.4627049446105955,
+      "epoch": 0.6338028169014085,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000382,
+      "loss": 6.4902,
+      "mean_token_accuracy": 0.10606684386730195,
+      "num_tokens": 1399279.0,
+      "step": 765
+    },
+    {
+      "entropy": 6.621781063079834,
+      "epoch": 0.6379453189726595,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003845,
+      "loss": 6.4146,
+      "mean_token_accuracy": 0.11267002299427986,
+      "num_tokens": 1408765.0,
+      "step": 770
+    },
+    {
+      "entropy": 6.736465692520142,
+      "epoch": 0.6420878210439105,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038700000000000003,
+      "loss": 6.5632,
+      "mean_token_accuracy": 0.10607504546642303,
+      "num_tokens": 1418615.0,
+      "step": 775
+    },
+    {
+      "entropy": 6.616378879547119,
+      "epoch": 0.6462303231151616,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038950000000000003,
+      "loss": 6.4664,
+      "mean_token_accuracy": 0.10207068845629692,
+      "num_tokens": 1427359.0,
+      "step": 780
+    },
+    {
+      "entropy": 6.70065336227417,
+      "epoch": 0.6503728251864126,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00039200000000000004,
+      "loss": 6.622,
+      "mean_token_accuracy": 0.1116428442299366,
+      "num_tokens": 1435516.0,
+      "step": 785
+    },
+    {
+      "entropy": 6.709064102172851,
+      "epoch": 0.6545153272576636,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00039450000000000005,
+      "loss": 6.5704,
+      "mean_token_accuracy": 0.10583743155002594,
+      "num_tokens": 1444438.0,
+      "step": 790
+    },
+    {
+      "entropy": 6.671351766586303,
+      "epoch": 0.6586578293289147,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00039700000000000005,
+      "loss": 6.4996,
+      "mean_token_accuracy": 0.11326526403427124,
+      "num_tokens": 1453740.0,
+      "step": 795
+    },
+    {
+      "entropy": 6.614573907852173,
+      "epoch": 0.6628003314001657,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003995,
+      "loss": 6.4874,
+      "mean_token_accuracy": 0.11111863479018211,
+      "num_tokens": 1462083.0,
+      "step": 800
+    },
+    {
+      "entropy": 6.484545516967773,
+      "epoch": 0.6669428334714167,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000402,
+      "loss": 6.4127,
+      "mean_token_accuracy": 0.1100592203438282,
+      "num_tokens": 1471459.0,
+      "step": 805
+    },
+    {
+      "entropy": 6.621589279174804,
+      "epoch": 0.6710853355426678,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004045,
+      "loss": 6.3972,
+      "mean_token_accuracy": 0.11681128293275833,
+      "num_tokens": 1480516.0,
+      "step": 810
+    },
+    {
+      "entropy": 6.421737241744995,
+      "epoch": 0.6752278376139188,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00040699999999999997,
+      "loss": 6.3,
+      "mean_token_accuracy": 0.11318568140268326,
+      "num_tokens": 1489268.0,
+      "step": 815
+    },
+    {
+      "entropy": 6.700246906280517,
+      "epoch": 0.6793703396851698,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004095,
+      "loss": 6.5174,
+      "mean_token_accuracy": 0.11110908538103104,
+      "num_tokens": 1498819.0,
+      "step": 820
+    },
+    {
+      "entropy": 6.622490644454956,
+      "epoch": 0.6835128417564209,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000412,
+      "loss": 6.501,
+      "mean_token_accuracy": 0.11033953949809075,
+      "num_tokens": 1507852.0,
+      "step": 825
+    },
+    {
+      "entropy": 6.59730544090271,
+      "epoch": 0.6876553438276719,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004145,
+      "loss": 6.5302,
+      "mean_token_accuracy": 0.11122860461473465,
+      "num_tokens": 1517538.0,
+      "step": 830
+    },
+    {
+      "entropy": 6.458763217926025,
+      "epoch": 0.6917978458989229,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000417,
+      "loss": 6.4061,
+      "mean_token_accuracy": 0.11324542313814163,
+      "num_tokens": 1525389.0,
+      "step": 835
+    },
+    {
+      "entropy": 6.57511887550354,
+      "epoch": 0.695940347970174,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004195,
+      "loss": 6.3741,
+      "mean_token_accuracy": 0.11116622686386109,
+      "num_tokens": 1534117.0,
+      "step": 840
+    },
+    {
+      "entropy": 6.522304344177246,
+      "epoch": 0.700082850041425,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000422,
+      "loss": 6.4029,
+      "mean_token_accuracy": 0.11315450444817543,
+      "num_tokens": 1542610.0,
+      "step": 845
+    },
+    {
+      "entropy": 6.5175107479095455,
+      "epoch": 0.704225352112676,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004245,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.1143906556069851,
+      "num_tokens": 1551771.0,
+      "step": 850
+    },
+    {
+      "entropy": 6.620167636871338,
+      "epoch": 0.7083678541839271,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.000427,
+      "loss": 6.5779,
+      "mean_token_accuracy": 0.10512799099087715,
+      "num_tokens": 1560231.0,
+      "step": 855
+    },
+    {
+      "entropy": 6.589151382446289,
+      "epoch": 0.7125103562551781,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004295,
+      "loss": 6.5346,
+      "mean_token_accuracy": 0.10532297939062119,
+      "num_tokens": 1569578.0,
+      "step": 860
+    },
+    {
+      "entropy": 6.563750839233398,
+      "epoch": 0.7166528583264291,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000432,
+      "loss": 6.4187,
+      "mean_token_accuracy": 0.11381370946764946,
+      "num_tokens": 1579308.0,
+      "step": 865
+    },
+    {
+      "entropy": 6.597287034988403,
+      "epoch": 0.7207953603976802,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004345,
+      "loss": 6.6081,
+      "mean_token_accuracy": 0.10267190784215927,
+      "num_tokens": 1589506.0,
+      "step": 870
+    },
+    {
+      "entropy": 6.482245397567749,
+      "epoch": 0.7249378624689312,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000437,
+      "loss": 6.3671,
+      "mean_token_accuracy": 0.11368186473846435,
+      "num_tokens": 1598127.0,
+      "step": 875
+    },
+    {
+      "entropy": 6.548954200744629,
+      "epoch": 0.7290803645401823,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004395,
+      "loss": 6.4125,
+      "mean_token_accuracy": 0.11406067088246345,
+      "num_tokens": 1608073.0,
+      "step": 880
+    },
+    {
+      "entropy": 6.551317119598389,
+      "epoch": 0.7332228666114333,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000442,
+      "loss": 6.4304,
+      "mean_token_accuracy": 0.11178040653467178,
+      "num_tokens": 1616272.0,
+      "step": 885
+    },
+    {
+      "entropy": 6.496135663986206,
+      "epoch": 0.7373653686826843,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004445,
+      "loss": 6.447,
+      "mean_token_accuracy": 0.10845504105091094,
+      "num_tokens": 1625577.0,
+      "step": 890
+    },
+    {
+      "entropy": 6.685812950134277,
+      "epoch": 0.7415078707539354,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000447,
+      "loss": 6.533,
+      "mean_token_accuracy": 0.10158233270049095,
+      "num_tokens": 1634902.0,
+      "step": 895
+    },
+    {
+      "entropy": 6.520436191558838,
+      "epoch": 0.7456503728251864,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00044950000000000003,
+      "loss": 6.4674,
+      "mean_token_accuracy": 0.10865833014249801,
+      "num_tokens": 1644131.0,
+      "step": 900
+    },
+    {
+      "entropy": 6.461379718780518,
+      "epoch": 0.7497928748964374,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00045200000000000004,
+      "loss": 6.3694,
+      "mean_token_accuracy": 0.12158194407820702,
+      "num_tokens": 1652272.0,
+      "step": 905
+    },
+    {
+      "entropy": 6.533070278167725,
+      "epoch": 0.7539353769676885,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00045450000000000004,
+      "loss": 6.4632,
+      "mean_token_accuracy": 0.11447574123740197,
+      "num_tokens": 1660962.0,
+      "step": 910
+    },
+    {
+      "entropy": 6.475569725036621,
+      "epoch": 0.7580778790389395,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045700000000000005,
+      "loss": 6.4006,
+      "mean_token_accuracy": 0.11205699220299721,
+      "num_tokens": 1670570.0,
+      "step": 915
+    },
+    {
+      "entropy": 6.526782608032226,
+      "epoch": 0.7622203811101905,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00045950000000000006,
+      "loss": 6.4497,
+      "mean_token_accuracy": 0.1096197433769703,
+      "num_tokens": 1679674.0,
+      "step": 920
+    },
+    {
+      "entropy": 6.530770015716553,
+      "epoch": 0.7663628831814416,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000462,
+      "loss": 6.4324,
+      "mean_token_accuracy": 0.11466658413410187,
+      "num_tokens": 1688849.0,
+      "step": 925
+    },
+    {
+      "entropy": 6.4163538932800295,
+      "epoch": 0.7705053852526926,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004645,
+      "loss": 6.3128,
+      "mean_token_accuracy": 0.1098814107477665,
+      "num_tokens": 1698565.0,
+      "step": 930
+    },
+    {
+      "entropy": 6.5036052703857425,
+      "epoch": 0.7746478873239436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000467,
+      "loss": 6.3986,
+      "mean_token_accuracy": 0.11683695837855339,
+      "num_tokens": 1708009.0,
+      "step": 935
+    },
+    {
+      "entropy": 6.518198871612549,
+      "epoch": 0.7787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004695,
+      "loss": 6.3878,
+      "mean_token_accuracy": 0.1126109592616558,
+      "num_tokens": 1716497.0,
+      "step": 940
+    },
+    {
+      "entropy": 6.415347719192505,
+      "epoch": 0.7829328914664457,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000472,
+      "loss": 6.4082,
+      "mean_token_accuracy": 0.12070046439766884,
+      "num_tokens": 1725609.0,
+      "step": 945
+    },
+    {
+      "entropy": 6.477306175231933,
+      "epoch": 0.7870753935376967,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004745,
+      "loss": 6.3456,
+      "mean_token_accuracy": 0.11454906165599824,
+      "num_tokens": 1734165.0,
+      "step": 950
+    },
+    {
+      "entropy": 6.454520893096924,
+      "epoch": 0.7912178956089478,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000477,
+      "loss": 6.4546,
+      "mean_token_accuracy": 0.10918105840682983,
+      "num_tokens": 1744856.0,
+      "step": 955
+    },
+    {
+      "entropy": 6.4711943626403805,
+      "epoch": 0.7953603976801988,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004795,
+      "loss": 6.4509,
+      "mean_token_accuracy": 0.10578904524445534,
+      "num_tokens": 1753386.0,
+      "step": 960
+    },
+    {
+      "entropy": 6.4536961078643795,
+      "epoch": 0.7995028997514498,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000482,
+      "loss": 6.3053,
+      "mean_token_accuracy": 0.11872726455330848,
+      "num_tokens": 1762521.0,
+      "step": 965
+    },
+    {
+      "entropy": 6.34936490058899,
+      "epoch": 0.8036454018227009,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004845,
+      "loss": 6.3765,
+      "mean_token_accuracy": 0.11444728896021843,
+      "num_tokens": 1772403.0,
+      "step": 970
+    },
+    {
+      "entropy": 6.375087881088257,
+      "epoch": 0.8077879038939519,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000487,
+      "loss": 6.2884,
+      "mean_token_accuracy": 0.11179185584187508,
+      "num_tokens": 1780924.0,
+      "step": 975
+    },
+    {
+      "entropy": 6.547906732559204,
+      "epoch": 0.8119304059652029,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004895,
+      "loss": 6.4367,
+      "mean_token_accuracy": 0.11225800514221192,
+      "num_tokens": 1789992.0,
+      "step": 980
+    },
+    {
+      "entropy": 6.421040678024292,
+      "epoch": 0.816072908036454,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000492,
+      "loss": 6.3919,
+      "mean_token_accuracy": 0.11761699616909027,
+      "num_tokens": 1799513.0,
+      "step": 985
+    },
+    {
+      "entropy": 6.332476711273193,
+      "epoch": 0.820215410107705,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0004945,
+      "loss": 6.2287,
+      "mean_token_accuracy": 0.11279567033052444,
+      "num_tokens": 1807393.0,
+      "step": 990
+    },
+    {
+      "entropy": 6.438618326187134,
+      "epoch": 0.824357912178956,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000497,
+      "loss": 6.5079,
+      "mean_token_accuracy": 0.10579989776015282,
+      "num_tokens": 1817284.0,
+      "step": 995
+    },
+    {
+      "entropy": 6.449818515777588,
+      "epoch": 0.8285004142502072,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004995,
+      "loss": 6.2996,
+      "mean_token_accuracy": 0.11799877136945724,
+      "num_tokens": 1825591.0,
+      "step": 1000
+    },
+    {
+      "epoch": 0.8285004142502072,
+      "eval_entropy": 6.222835092402216,
+      "eval_loss": 6.475013256072998,
+      "eval_mean_token_accuracy": 0.11269166863866961,
+      "eval_num_tokens": 1825591.0,
+      "eval_runtime": 2.7611,
+      "eval_samples_per_second": 1357.068,
+      "eval_steps_per_second": 169.86,
+      "step": 1000
+    },
+    {
+      "entropy": 6.457831478118896,
+      "epoch": 0.8326429163214581,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0004999998547681232,
+      "loss": 6.3959,
+      "mean_token_accuracy": 0.11798396334052086,
+      "num_tokens": 1834655.0,
+      "step": 1005
+    },
+    {
+      "entropy": 6.26599349975586,
+      "epoch": 0.8367854183927091,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004999992647639447,
+      "loss": 6.2578,
+      "mean_token_accuracy": 0.11858200430870056,
+      "num_tokens": 1844187.0,
+      "step": 1010
+    },
+    {
+      "entropy": 6.415271520614624,
+      "epoch": 0.8409279204639603,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999982209116618,
+      "loss": 6.3345,
+      "mean_token_accuracy": 0.11406200677156449,
+      "num_tokens": 1852768.0,
+      "step": 1015
+    },
+    {
+      "entropy": 6.355557584762574,
+      "epoch": 0.8450704225352113,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004999967232133796,
+      "loss": 6.3913,
+      "mean_token_accuracy": 0.12348653748631477,
+      "num_tokens": 1862095.0,
+      "step": 1020
+    },
+    {
+      "entropy": 6.427043008804321,
+      "epoch": 0.8492129246064622,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004999947716721196,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.10961534604430198,
+      "num_tokens": 1871239.0,
+      "step": 1025
+    },
+    {
+      "entropy": 6.509608554840088,
+      "epoch": 0.8533554266777134,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004999923662918179,
+      "loss": 6.4323,
+      "mean_token_accuracy": 0.11334251016378402,
+      "num_tokens": 1880065.0,
+      "step": 1030
+    },
+    {
+      "entropy": 6.417975521087646,
+      "epoch": 0.8574979287489644,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999895070773266,
+      "loss": 6.4608,
+      "mean_token_accuracy": 0.10985229611396789,
+      "num_tokens": 1889065.0,
+      "step": 1035
+    },
+    {
+      "entropy": 6.429206514358521,
+      "epoch": 0.8616404308202155,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999861940344129,
+      "loss": 6.4721,
+      "mean_token_accuracy": 0.11190373301506043,
+      "num_tokens": 1898238.0,
+      "step": 1040
+    },
+    {
+      "entropy": 6.462369585037232,
+      "epoch": 0.8657829328914665,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004999824271697597,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.12136606723070145,
+      "num_tokens": 1906780.0,
+      "step": 1045
+    },
+    {
+      "entropy": 6.506088638305664,
+      "epoch": 0.8699254349627175,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000499978206490965,
+      "loss": 6.4745,
+      "mean_token_accuracy": 0.11197563111782075,
+      "num_tokens": 1916183.0,
+      "step": 1050
+    },
+    {
+      "entropy": 6.427097368240356,
+      "epoch": 0.8740679370339686,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999735320065427,
+      "loss": 6.3371,
+      "mean_token_accuracy": 0.11927392706274986,
+      "num_tokens": 1925382.0,
+      "step": 1055
+    },
+    {
+      "entropy": 6.292429256439209,
+      "epoch": 0.8782104391052196,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999684037259216,
+      "loss": 6.1827,
+      "mean_token_accuracy": 0.1270924136042595,
+      "num_tokens": 1933639.0,
+      "step": 1060
+    },
+    {
+      "entropy": 6.3600146770477295,
+      "epoch": 0.8823529411764706,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999628216594456,
+      "loss": 6.464,
+      "mean_token_accuracy": 0.11409285366535186,
+      "num_tokens": 1943044.0,
+      "step": 1065
+    },
+    {
+      "entropy": 6.460871028900146,
+      "epoch": 0.8864954432477217,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000499956785818375,
+      "loss": 6.303,
+      "mean_token_accuracy": 0.11871922463178634,
+      "num_tokens": 1951777.0,
+      "step": 1070
+    },
+    {
+      "entropy": 6.376981210708618,
+      "epoch": 0.8906379453189727,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004999502962148843,
+      "loss": 6.3666,
+      "mean_token_accuracy": 0.1170460693538189,
+      "num_tokens": 1961356.0,
+      "step": 1075
+    },
+    {
+      "entropy": 6.439280414581299,
+      "epoch": 0.8947804473902237,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000499943352862064,
+      "loss": 6.4248,
+      "mean_token_accuracy": 0.11459407210350037,
+      "num_tokens": 1970341.0,
+      "step": 1080
+    },
+    {
+      "entropy": 6.394289827346801,
+      "epoch": 0.8989229494614748,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004999359557739194,
+      "loss": 6.2796,
+      "mean_token_accuracy": 0.12198276743292809,
+      "num_tokens": 1978576.0,
+      "step": 1085
+    },
+    {
+      "entropy": 6.319045782089233,
+      "epoch": 0.9030654515327258,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004999281049653713,
+      "loss": 6.3227,
+      "mean_token_accuracy": 0.11601013913750649,
+      "num_tokens": 1987229.0,
+      "step": 1090
+    },
+    {
+      "entropy": 6.376017141342163,
+      "epoch": 0.9072079536039768,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999198004522557,
+      "loss": 6.261,
+      "mean_token_accuracy": 0.12269015237689018,
+      "num_tokens": 1996473.0,
+      "step": 1095
+    },
+    {
+      "entropy": 6.2405853271484375,
+      "epoch": 0.9113504556752279,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999110422513237,
+      "loss": 6.286,
+      "mean_token_accuracy": 0.12056776732206345,
+      "num_tokens": 2005551.0,
+      "step": 1100
+    },
+    {
+      "entropy": 6.398191165924072,
+      "epoch": 0.9154929577464789,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999018303802414,
+      "loss": 6.3869,
+      "mean_token_accuracy": 0.11947718560695648,
+      "num_tokens": 2015012.0,
+      "step": 1105
+    },
+    {
+      "entropy": 6.374700450897217,
+      "epoch": 0.9196354598177299,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004998921648575904,
+      "loss": 6.3999,
+      "mean_token_accuracy": 0.1203969657421112,
+      "num_tokens": 2024435.0,
+      "step": 1110
+    },
+    {
+      "entropy": 6.380674362182617,
+      "epoch": 0.923777961888981,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004998820457028669,
+      "loss": 6.3005,
+      "mean_token_accuracy": 0.12089794874191284,
+      "num_tokens": 2033991.0,
+      "step": 1115
+    },
+    {
+      "entropy": 6.409522771835327,
+      "epoch": 0.927920463960232,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998714729364824,
+      "loss": 6.3017,
+      "mean_token_accuracy": 0.1228084571659565,
+      "num_tokens": 2043117.0,
+      "step": 1120
+    },
+    {
+      "entropy": 6.326260423660278,
+      "epoch": 0.932062966031483,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004998604465797634,
+      "loss": 6.3305,
+      "mean_token_accuracy": 0.11992078274488449,
+      "num_tokens": 2052304.0,
+      "step": 1125
+    },
+    {
+      "entropy": 6.251798295974732,
+      "epoch": 0.9362054681027341,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998489666549512,
+      "loss": 6.2779,
+      "mean_token_accuracy": 0.12114684730768203,
+      "num_tokens": 2061217.0,
+      "step": 1130
+    },
+    {
+      "entropy": 6.319644594192505,
+      "epoch": 0.9403479701739851,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.0004998370331852021,
+      "loss": 6.2517,
+      "mean_token_accuracy": 0.11879112273454666,
+      "num_tokens": 2070796.0,
+      "step": 1135
+    },
+    {
+      "entropy": 6.465651321411133,
+      "epoch": 0.9444904722452361,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004998246461945872,
+      "loss": 6.4037,
+      "mean_token_accuracy": 0.12191760018467904,
+      "num_tokens": 2080202.0,
+      "step": 1140
+    },
+    {
+      "entropy": 6.320812797546386,
+      "epoch": 0.9486329743164872,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004998118057080923,
+      "loss": 6.3045,
+      "mean_token_accuracy": 0.11891168132424354,
+      "num_tokens": 2089788.0,
+      "step": 1145
+    },
+    {
+      "entropy": 6.301202344894409,
+      "epoch": 0.9527754763877382,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004997985117516183,
+      "loss": 6.3462,
+      "mean_token_accuracy": 0.11142431199550629,
+      "num_tokens": 2098727.0,
+      "step": 1150
+    },
+    {
+      "entropy": 6.344118309020996,
+      "epoch": 0.9569179784589892,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997847643519803,
+      "loss": 6.226,
+      "mean_token_accuracy": 0.11924557387828827,
+      "num_tokens": 2107645.0,
+      "step": 1155
+    },
+    {
+      "entropy": 6.1790977954864506,
+      "epoch": 0.9610604805302403,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997705635369085,
+      "loss": 6.1991,
+      "mean_token_accuracy": 0.11988648250699044,
+      "num_tokens": 2116613.0,
+      "step": 1160
+    },
+    {
+      "entropy": 6.284418439865112,
+      "epoch": 0.9652029826014913,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004997559093350474,
+      "loss": 6.1881,
+      "mean_token_accuracy": 0.12116428092122078,
+      "num_tokens": 2125585.0,
+      "step": 1165
+    },
+    {
+      "entropy": 6.396596622467041,
+      "epoch": 0.9693454846727423,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004997408017759562,
+      "loss": 6.3359,
+      "mean_token_accuracy": 0.11936862170696258,
+      "num_tokens": 2134795.0,
+      "step": 1170
+    },
+    {
+      "entropy": 6.273751878738404,
+      "epoch": 0.9734879867439934,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004997252408901084,
+      "loss": 6.3271,
+      "mean_token_accuracy": 0.11899949684739113,
+      "num_tokens": 2143699.0,
+      "step": 1175
+    },
+    {
+      "entropy": 6.386678028106689,
+      "epoch": 0.9776304888152444,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004997092267088922,
+      "loss": 6.2707,
+      "mean_token_accuracy": 0.11861606612801552,
+      "num_tokens": 2152187.0,
+      "step": 1180
+    },
+    {
+      "entropy": 6.275117111206055,
+      "epoch": 0.9817729908864954,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004996927592646097,
+      "loss": 6.3412,
+      "mean_token_accuracy": 0.11767763197422028,
+      "num_tokens": 2160941.0,
+      "step": 1185
+    },
+    {
+      "entropy": 6.339710283279419,
+      "epoch": 0.9859154929577465,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004996758385904776,
+      "loss": 6.3119,
+      "mean_token_accuracy": 0.11789651140570641,
+      "num_tokens": 2168946.0,
+      "step": 1190
+    },
+    {
+      "entropy": 6.181374216079712,
+      "epoch": 0.9900579950289975,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004996584647206269,
+      "loss": 6.2237,
+      "mean_token_accuracy": 0.12055367529392243,
+      "num_tokens": 2177662.0,
+      "step": 1195
+    },
+    {
+      "entropy": 6.316773986816406,
+      "epoch": 0.9942004971002486,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004996406376901026,
+      "loss": 6.3268,
+      "mean_token_accuracy": 0.12757316455245019,
+      "num_tokens": 2187461.0,
+      "step": 1200
+    },
+    {
+      "entropy": 6.283385133743286,
+      "epoch": 0.9983429991714996,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004996223575348635,
+      "loss": 6.2207,
+      "mean_token_accuracy": 0.12578138560056687,
+      "num_tokens": 2196878.0,
+      "step": 1205
+    },
+    {
+      "entropy": 6.311019659042358,
+      "epoch": 1.0024855012427507,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004996036242917828,
+      "loss": 6.2021,
+      "mean_token_accuracy": 0.1151522897183895,
+      "num_tokens": 2206178.0,
+      "step": 1210
+    },
+    {
+      "entropy": 6.25421667098999,
+      "epoch": 1.0066280033140016,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004995844379986476,
+      "loss": 6.0526,
+      "mean_token_accuracy": 0.12476176023483276,
+      "num_tokens": 2215330.0,
+      "step": 1215
+    },
+    {
+      "entropy": 6.309921216964722,
+      "epoch": 1.0107705053852527,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004995647986941587,
+      "loss": 6.0354,
+      "mean_token_accuracy": 0.13005029112100602,
+      "num_tokens": 2224146.0,
+      "step": 1220
+    },
+    {
+      "entropy": 6.241363286972046,
+      "epoch": 1.0149130074565038,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004995447064179308,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13421598002314566,
+      "num_tokens": 2233646.0,
+      "step": 1225
+    },
+    {
+      "entropy": 6.058859920501709,
+      "epoch": 1.0190555095277547,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.000499524161210492,
+      "loss": 5.9379,
+      "mean_token_accuracy": 0.12560308948159218,
+      "num_tokens": 2243663.0,
+      "step": 1230
+    },
+    {
+      "entropy": 6.270004224777222,
+      "epoch": 1.0231980115990058,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004995031631132844,
+      "loss": 6.1035,
+      "mean_token_accuracy": 0.13170127123594283,
+      "num_tokens": 2252564.0,
+      "step": 1235
+    },
+    {
+      "entropy": 6.2710247993469235,
+      "epoch": 1.027340513670257,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004994817121686633,
+      "loss": 6.099,
+      "mean_token_accuracy": 0.12465815395116805,
+      "num_tokens": 2262504.0,
+      "step": 1240
+    },
+    {
+      "entropy": 6.193396997451782,
+      "epoch": 1.0314830157415078,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004994598084198979,
+      "loss": 5.9843,
+      "mean_token_accuracy": 0.1374910719692707,
+      "num_tokens": 2270553.0,
+      "step": 1245
+    },
+    {
+      "entropy": 6.136552810668945,
+      "epoch": 1.035625517812759,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004994374519111701,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.1272726461291313,
+      "num_tokens": 2279319.0,
+      "step": 1250
+    },
+    {
+      "entropy": 6.217378282546997,
+      "epoch": 1.03976801988401,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004994146426875757,
+      "loss": 6.123,
+      "mean_token_accuracy": 0.126935476064682,
+      "num_tokens": 2288749.0,
+      "step": 1255
+    },
+    {
+      "entropy": 6.218695068359375,
+      "epoch": 1.043910521955261,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004993913807951232,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.12562426924705505,
+      "num_tokens": 2298272.0,
+      "step": 1260
+    },
+    {
+      "entropy": 6.221994352340698,
+      "epoch": 1.048053024026512,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004993676662807345,
+      "loss": 6.047,
+      "mean_token_accuracy": 0.12884460240602494,
+      "num_tokens": 2307230.0,
+      "step": 1265
+    },
+    {
+      "entropy": 6.183428144454956,
+      "epoch": 1.0521955260977631,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004993434991922443,
+      "loss": 6.1317,
+      "mean_token_accuracy": 0.12460145726799965,
+      "num_tokens": 2316306.0,
+      "step": 1270
+    },
+    {
+      "entropy": 6.22090425491333,
+      "epoch": 1.056338028169014,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004993188795784002,
+      "loss": 6.0531,
+      "mean_token_accuracy": 0.1241947129368782,
+      "num_tokens": 2325672.0,
+      "step": 1275
+    },
+    {
+      "entropy": 6.1453857421875,
+      "epoch": 1.0604805302402651,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004992938074888628,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.1274007849395275,
+      "num_tokens": 2335251.0,
+      "step": 1280
+    },
+    {
+      "entropy": 6.180039167404175,
+      "epoch": 1.0646230323115162,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004992682829742052,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.1308726042509079,
+      "num_tokens": 2344054.0,
+      "step": 1285
+    },
+    {
+      "entropy": 6.086296463012696,
+      "epoch": 1.0687655343827671,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004992423060859132,
+      "loss": 6.0236,
+      "mean_token_accuracy": 0.127706591039896,
+      "num_tokens": 2353493.0,
+      "step": 1290
+    },
+    {
+      "entropy": 6.223158740997315,
+      "epoch": 1.0729080364540182,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004992158768763849,
+      "loss": 6.1321,
+      "mean_token_accuracy": 0.12850543335080147,
+      "num_tokens": 2362687.0,
+      "step": 1295
+    },
+    {
+      "entropy": 6.2506636619567875,
+      "epoch": 1.0770505385252693,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004991889953989308,
+      "loss": 6.0965,
+      "mean_token_accuracy": 0.12563316524028778,
+      "num_tokens": 2372325.0,
+      "step": 1300
+    },
+    {
+      "entropy": 6.173602199554443,
+      "epoch": 1.0811930405965202,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004991616617077741,
+      "loss": 6.12,
+      "mean_token_accuracy": 0.1287991665303707,
+      "num_tokens": 2381987.0,
+      "step": 1305
+    },
+    {
+      "entropy": 6.307486963272095,
+      "epoch": 1.0853355426677713,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004991338758580496,
+      "loss": 6.0234,
+      "mean_token_accuracy": 0.13178783878684044,
+      "num_tokens": 2390901.0,
+      "step": 1310
+    },
+    {
+      "entropy": 6.034789133071899,
+      "epoch": 1.0894780447390224,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004991056379058045,
+      "loss": 6.0813,
+      "mean_token_accuracy": 0.12450421676039695,
+      "num_tokens": 2400756.0,
+      "step": 1315
+    },
+    {
+      "entropy": 6.188017988204956,
+      "epoch": 1.0936205468102733,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004990769479079976,
+      "loss": 5.9232,
+      "mean_token_accuracy": 0.12984196096658707,
+      "num_tokens": 2409526.0,
+      "step": 1320
+    },
+    {
+      "entropy": 6.086554956436157,
+      "epoch": 1.0977630488815244,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004990478059225003,
+      "loss": 6.0931,
+      "mean_token_accuracy": 0.12972966134548186,
+      "num_tokens": 2419583.0,
+      "step": 1325
+    },
+    {
+      "entropy": 6.2457873821258545,
+      "epoch": 1.1019055509527755,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004990182120080945,
+      "loss": 6.0338,
+      "mean_token_accuracy": 0.12990806251764297,
+      "num_tokens": 2429439.0,
+      "step": 1330
+    },
+    {
+      "entropy": 6.078778219223023,
+      "epoch": 1.1060480530240264,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004989881662244748,
+      "loss": 6.0416,
+      "mean_token_accuracy": 0.12380676046013832,
+      "num_tokens": 2438467.0,
+      "step": 1335
+    },
+    {
+      "entropy": 6.138932418823242,
+      "epoch": 1.1101905550952775,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004989576686322468,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.1332716926932335,
+      "num_tokens": 2446619.0,
+      "step": 1340
+    },
+    {
+      "entropy": 6.1281578540802,
+      "epoch": 1.1143330571665286,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004989267192929272,
+      "loss": 6.0379,
+      "mean_token_accuracy": 0.12955363765358924,
+      "num_tokens": 2454998.0,
+      "step": 1345
+    },
+    {
+      "entropy": 6.09554443359375,
+      "epoch": 1.1184755592377795,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004988953182689445,
+      "loss": 6.0072,
+      "mean_token_accuracy": 0.13532012328505516,
+      "num_tokens": 2463497.0,
+      "step": 1350
+    },
+    {
+      "entropy": 6.134703922271728,
+      "epoch": 1.1226180613090306,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004988634656236378,
+      "loss": 5.9216,
+      "mean_token_accuracy": 0.13609320148825646,
+      "num_tokens": 2471763.0,
+      "step": 1355
+    },
+    {
+      "entropy": 6.145527791976929,
+      "epoch": 1.1267605633802817,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004988311614212576,
+      "loss": 6.0016,
+      "mean_token_accuracy": 0.1402701161801815,
+      "num_tokens": 2479949.0,
+      "step": 1360
+    },
+    {
+      "entropy": 6.116470623016357,
+      "epoch": 1.1309030654515326,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004987984057269648,
+      "loss": 6.0539,
+      "mean_token_accuracy": 0.13444141745567323,
+      "num_tokens": 2489097.0,
+      "step": 1365
+    },
+    {
+      "entropy": 5.972180604934692,
+      "epoch": 1.1350455675227837,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004987651986068311,
+      "loss": 5.8781,
+      "mean_token_accuracy": 0.13601028621196748,
+      "num_tokens": 2497625.0,
+      "step": 1370
+    },
+    {
+      "entropy": 6.143597984313965,
+      "epoch": 1.1391880695940348,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004987315401278394,
+      "loss": 6.1252,
+      "mean_token_accuracy": 0.1272761717438698,
+      "num_tokens": 2507107.0,
+      "step": 1375
+    },
+    {
+      "entropy": 6.286170959472656,
+      "epoch": 1.143330571665286,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004986974303578819,
+      "loss": 6.1408,
+      "mean_token_accuracy": 0.12348597794771195,
+      "num_tokens": 2516629.0,
+      "step": 1380
+    },
+    {
+      "entropy": 6.077923250198364,
+      "epoch": 1.1474730737365368,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004986628693657621,
+      "loss": 6.021,
+      "mean_token_accuracy": 0.1280151717364788,
+      "num_tokens": 2525924.0,
+      "step": 1385
+    },
+    {
+      "entropy": 6.229060649871826,
+      "epoch": 1.151615575807788,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004986278572211933,
+      "loss": 6.1723,
+      "mean_token_accuracy": 0.1280426375567913,
+      "num_tokens": 2535586.0,
+      "step": 1390
+    },
+    {
+      "entropy": 6.189875984191895,
+      "epoch": 1.1557580778790388,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004985923939947987,
+      "loss": 6.2595,
+      "mean_token_accuracy": 0.1247698113322258,
+      "num_tokens": 2546685.0,
+      "step": 1395
+    },
+    {
+      "entropy": 6.148470640182495,
+      "epoch": 1.15990057995029,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004985564797581115,
+      "loss": 5.9681,
+      "mean_token_accuracy": 0.12971177995204924,
+      "num_tokens": 2556873.0,
+      "step": 1400
+    },
+    {
+      "entropy": 6.143459701538086,
+      "epoch": 1.164043082021541,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004985201145835747,
+      "loss": 5.9836,
+      "mean_token_accuracy": 0.13127154856920242,
+      "num_tokens": 2565222.0,
+      "step": 1405
+    },
+    {
+      "entropy": 6.031957960128784,
+      "epoch": 1.1681855840927922,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.000498483298544541,
+      "loss": 5.9875,
+      "mean_token_accuracy": 0.13211632743477822,
+      "num_tokens": 2575467.0,
+      "step": 1410
+    },
+    {
+      "entropy": 6.136318731307983,
+      "epoch": 1.172328086164043,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000498446031715272,
+      "loss": 6.0125,
+      "mean_token_accuracy": 0.13508019223809242,
+      "num_tokens": 2583963.0,
+      "step": 1415
+    },
+    {
+      "entropy": 6.133963680267334,
+      "epoch": 1.1764705882352942,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004984083141709391,
+      "loss": 6.042,
+      "mean_token_accuracy": 0.13524071872234344,
+      "num_tokens": 2593350.0,
+      "step": 1420
+    },
+    {
+      "entropy": 5.975436115264893,
+      "epoch": 1.180613090306545,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000498370145987623,
+      "loss": 5.9652,
+      "mean_token_accuracy": 0.13682079091668128,
+      "num_tokens": 2602191.0,
+      "step": 1425
+    },
+    {
+      "entropy": 6.170718050003051,
+      "epoch": 1.1847555923777962,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004983315272423127,
+      "loss": 6.0999,
+      "mean_token_accuracy": 0.1291058838367462,
+      "num_tokens": 2613590.0,
+      "step": 1430
+    },
+    {
+      "entropy": 6.049332237243652,
+      "epoch": 1.1888980944490473,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004982924580129066,
+      "loss": 5.8895,
+      "mean_token_accuracy": 0.1340464949607849,
+      "num_tokens": 2622072.0,
+      "step": 1435
+    },
+    {
+      "entropy": 6.093293142318726,
+      "epoch": 1.1930405965202984,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004982529383782116,
+      "loss": 6.1012,
+      "mean_token_accuracy": 0.13022035285830497,
+      "num_tokens": 2630904.0,
+      "step": 1440
+    },
+    {
+      "entropy": 6.189996242523193,
+      "epoch": 1.1971830985915493,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004982129684179432,
+      "loss": 6.0594,
+      "mean_token_accuracy": 0.13088259026408194,
+      "num_tokens": 2639925.0,
+      "step": 1445
+    },
+    {
+      "entropy": 6.1187131881713865,
+      "epoch": 1.2013256006628004,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004981725482127251,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.13439981341362,
+      "num_tokens": 2649397.0,
+      "step": 1450
+    },
+    {
+      "entropy": 6.16315655708313,
+      "epoch": 1.2054681027340513,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004981316778440892,
+      "loss": 6.081,
+      "mean_token_accuracy": 0.13515593931078912,
+      "num_tokens": 2658877.0,
+      "step": 1455
+    },
+    {
+      "entropy": 6.063838720321655,
+      "epoch": 1.2096106048053024,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004980903573944756,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13121431767940522,
+      "num_tokens": 2668518.0,
+      "step": 1460
+    },
+    {
+      "entropy": 6.059180212020874,
+      "epoch": 1.2137531068765535,
+      "grad_norm": 1.0078125,
+      "learning_rate": 0.0004980485869472322,
+      "loss": 6.1148,
+      "mean_token_accuracy": 0.12996160089969636,
+      "num_tokens": 2677459.0,
+      "step": 1465
+    },
+    {
+      "entropy": 6.223527908325195,
+      "epoch": 1.2178956089478046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004980063665866143,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12482839822769165,
+      "num_tokens": 2686668.0,
+      "step": 1470
+    },
+    {
+      "entropy": 5.935272264480591,
+      "epoch": 1.2220381110190555,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004979636963977853,
+      "loss": 5.8825,
+      "mean_token_accuracy": 0.1352998949587345,
+      "num_tokens": 2695545.0,
+      "step": 1475
+    },
+    {
+      "entropy": 6.066101598739624,
+      "epoch": 1.2261806130903066,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004979205764668156,
+      "loss": 6.0569,
+      "mean_token_accuracy": 0.13228241056203843,
+      "num_tokens": 2705514.0,
+      "step": 1480
+    },
+    {
+      "entropy": 6.138315343856812,
+      "epoch": 1.2303231151615575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004978770068806825,
+      "loss": 5.9599,
+      "mean_token_accuracy": 0.13136665150523186,
+      "num_tokens": 2714373.0,
+      "step": 1485
+    },
+    {
+      "entropy": 6.061770391464234,
+      "epoch": 1.2344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.000497832987727271,
+      "loss": 6.0715,
+      "mean_token_accuracy": 0.1264137916266918,
+      "num_tokens": 2723887.0,
+      "step": 1490
+    },
+    {
+      "entropy": 6.061756038665772,
+      "epoch": 1.2386081193040597,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004977885190953724,
+      "loss": 5.956,
+      "mean_token_accuracy": 0.13353569880127908,
+      "num_tokens": 2733591.0,
+      "step": 1495
+    },
+    {
+      "entropy": 6.104292392730713,
+      "epoch": 1.2427506213753108,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004977436010746846,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.13720986992120743,
+      "num_tokens": 2741638.0,
+      "step": 1500
+    },
+    {
+      "epoch": 1.2427506213753108,
+      "eval_entropy": 6.029743814773397,
+      "eval_loss": 6.2611613273620605,
+      "eval_mean_token_accuracy": 0.12890694399219332,
+      "eval_num_tokens": 2741638.0,
+      "eval_runtime": 2.9518,
+      "eval_samples_per_second": 1269.399,
+      "eval_steps_per_second": 158.887,
+      "step": 1500
+    },
+    {
+      "entropy": 6.078821802139283,
+      "epoch": 1.2468931234465617,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004976982337558124,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13084649220108985,
+      "num_tokens": 2749711.0,
+      "step": 1505
+    },
+    {
+      "entropy": 6.094208097457885,
+      "epoch": 1.2510356255178128,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004976524172302665,
+      "loss": 6.121,
+      "mean_token_accuracy": 0.13192041367292404,
+      "num_tokens": 2758121.0,
+      "step": 1510
+    },
+    {
+      "entropy": 6.159745693206787,
+      "epoch": 1.2551781275890637,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004976061515904641,
+      "loss": 6.1181,
+      "mean_token_accuracy": 0.12667254582047463,
+      "num_tokens": 2766764.0,
+      "step": 1515
+    },
+    {
+      "entropy": 6.116680526733399,
+      "epoch": 1.2593206296603148,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004975594369297277,
+      "loss": 6.0557,
+      "mean_token_accuracy": 0.1348518520593643,
+      "num_tokens": 2775561.0,
+      "step": 1520
+    },
+    {
+      "entropy": 6.08063235282898,
+      "epoch": 1.2634631317315659,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004975122733422861,
+      "loss": 6.0201,
+      "mean_token_accuracy": 0.13085112273693084,
+      "num_tokens": 2784691.0,
+      "step": 1525
+    },
+    {
+      "entropy": 6.129113435745239,
+      "epoch": 1.267605633802817,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004974646609232732,
+      "loss": 5.9816,
+      "mean_token_accuracy": 0.13641836866736412,
+      "num_tokens": 2793893.0,
+      "step": 1530
+    },
+    {
+      "entropy": 6.108260202407837,
+      "epoch": 1.2717481358740679,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004974165997687288,
+      "loss": 6.0751,
+      "mean_token_accuracy": 0.13353196606040002,
+      "num_tokens": 2804479.0,
+      "step": 1535
+    },
+    {
+      "entropy": 6.16022138595581,
+      "epoch": 1.275890637945319,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004973680899755972,
+      "loss": 6.107,
+      "mean_token_accuracy": 0.1326654002070427,
+      "num_tokens": 2813966.0,
+      "step": 1540
+    },
+    {
+      "entropy": 6.007886743545532,
+      "epoch": 1.2800331400165699,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000497319131641728,
+      "loss": 5.9326,
+      "mean_token_accuracy": 0.13846119418740271,
+      "num_tokens": 2822328.0,
+      "step": 1545
+    },
+    {
+      "entropy": 6.003260755538941,
+      "epoch": 1.284175642087821,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004972697248658755,
+      "loss": 5.8899,
+      "mean_token_accuracy": 0.14066707715392113,
+      "num_tokens": 2829845.0,
+      "step": 1550
+    },
+    {
+      "entropy": 5.948832178115845,
+      "epoch": 1.288318144159072,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004972198697476987,
+      "loss": 5.8783,
+      "mean_token_accuracy": 0.13914238885045052,
+      "num_tokens": 2839040.0,
+      "step": 1555
+    },
+    {
+      "entropy": 5.961882209777832,
+      "epoch": 1.2924606462303232,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004971695663877607,
+      "loss": 5.9665,
+      "mean_token_accuracy": 0.13561231270432472,
+      "num_tokens": 2848574.0,
+      "step": 1560
+    },
+    {
+      "entropy": 6.077086877822876,
+      "epoch": 1.296603148301574,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004971188148875289,
+      "loss": 5.9421,
+      "mean_token_accuracy": 0.14444561377167703,
+      "num_tokens": 2856812.0,
+      "step": 1565
+    },
+    {
+      "entropy": 6.051652336120606,
+      "epoch": 1.3007456503728252,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004970676153493748,
+      "loss": 6.0283,
+      "mean_token_accuracy": 0.13189572617411613,
+      "num_tokens": 2866001.0,
+      "step": 1570
+    },
+    {
+      "entropy": 6.1068840503692625,
+      "epoch": 1.3048881524440763,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004970159678765731,
+      "loss": 6.0164,
+      "mean_token_accuracy": 0.13239546120166779,
+      "num_tokens": 2875181.0,
+      "step": 1575
+    },
+    {
+      "entropy": 6.049808597564697,
+      "epoch": 1.3090306545153272,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004969638725733028,
+      "loss": 5.9587,
+      "mean_token_accuracy": 0.13397156223654746,
+      "num_tokens": 2885103.0,
+      "step": 1580
+    },
+    {
+      "entropy": 5.92131872177124,
+      "epoch": 1.3131731565865783,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004969113295446455,
+      "loss": 5.9116,
+      "mean_token_accuracy": 0.1383065924048424,
+      "num_tokens": 2894055.0,
+      "step": 1585
+    },
+    {
+      "entropy": 6.116864538192749,
+      "epoch": 1.3173156586578294,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004968583388965863,
+      "loss": 5.9846,
+      "mean_token_accuracy": 0.133075200766325,
+      "num_tokens": 2903391.0,
+      "step": 1590
+    },
+    {
+      "entropy": 6.006745624542236,
+      "epoch": 1.3214581607290803,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004968049007360132,
+      "loss": 5.9854,
+      "mean_token_accuracy": 0.13297903537750244,
+      "num_tokens": 2911760.0,
+      "step": 1595
+    },
+    {
+      "entropy": 5.926331329345703,
+      "epoch": 1.3256006628003314,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004967510151707169,
+      "loss": 5.9369,
+      "mean_token_accuracy": 0.13469143435359002,
+      "num_tokens": 2920589.0,
+      "step": 1600
+    },
+    {
+      "entropy": 6.15295524597168,
+      "epoch": 1.3297431648715825,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004966966823093903,
+      "loss": 6.0746,
+      "mean_token_accuracy": 0.1302391268312931,
+      "num_tokens": 2929635.0,
+      "step": 1605
+    },
+    {
+      "entropy": 5.986531114578247,
+      "epoch": 1.3338856669428334,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004966419022616287,
+      "loss": 5.9349,
+      "mean_token_accuracy": 0.13593596145510672,
+      "num_tokens": 2938778.0,
+      "step": 1610
+    },
+    {
+      "entropy": 6.039755535125733,
+      "epoch": 1.3380281690140845,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004965866751379296,
+      "loss": 6.0503,
+      "mean_token_accuracy": 0.13109695687890052,
+      "num_tokens": 2947836.0,
+      "step": 1615
+    },
+    {
+      "entropy": 6.133180904388428,
+      "epoch": 1.3421706710853356,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004965310010496922,
+      "loss": 6.0032,
+      "mean_token_accuracy": 0.1280514419078827,
+      "num_tokens": 2957028.0,
+      "step": 1620
+    },
+    {
+      "entropy": 6.026159048080444,
+      "epoch": 1.3463131731565865,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004964748801092168,
+      "loss": 5.9571,
+      "mean_token_accuracy": 0.1338861681520939,
+      "num_tokens": 2966088.0,
+      "step": 1625
+    },
+    {
+      "entropy": 6.078959226608276,
+      "epoch": 1.3504556752278376,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004964183124297059,
+      "loss": 6.0438,
+      "mean_token_accuracy": 0.13178688064217567,
+      "num_tokens": 2975271.0,
+      "step": 1630
+    },
+    {
+      "entropy": 5.992210865020752,
+      "epoch": 1.3545981772990887,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004963612981252625,
+      "loss": 6.0524,
+      "mean_token_accuracy": 0.1321226365864277,
+      "num_tokens": 2983799.0,
+      "step": 1635
+    },
+    {
+      "entropy": 6.056794929504394,
+      "epoch": 1.3587406793703396,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004963038373108908,
+      "loss": 6.0179,
+      "mean_token_accuracy": 0.13609340488910676,
+      "num_tokens": 2992675.0,
+      "step": 1640
+    },
+    {
+      "entropy": 6.155933427810669,
+      "epoch": 1.3628831814415907,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004962459301024954,
+      "loss": 6.0838,
+      "mean_token_accuracy": 0.13211635649204254,
+      "num_tokens": 3002483.0,
+      "step": 1645
+    },
+    {
+      "entropy": 6.027872896194458,
+      "epoch": 1.3670256835128418,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004961875766168816,
+      "loss": 5.985,
+      "mean_token_accuracy": 0.13883458971977233,
+      "num_tokens": 3010611.0,
+      "step": 1650
+    },
+    {
+      "entropy": 6.057289028167725,
+      "epoch": 1.371168185584093,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004961287769717547,
+      "loss": 5.9397,
+      "mean_token_accuracy": 0.13197456523776055,
+      "num_tokens": 3019928.0,
+      "step": 1655
+    },
+    {
+      "entropy": 5.9325989246368405,
+      "epoch": 1.3753106876553438,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004960695312857199,
+      "loss": 5.9279,
+      "mean_token_accuracy": 0.13408055454492568,
+      "num_tokens": 3029003.0,
+      "step": 1660
+    },
+    {
+      "entropy": 6.0389604568481445,
+      "epoch": 1.379453189726595,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004960098396782824,
+      "loss": 5.9464,
+      "mean_token_accuracy": 0.1375861033797264,
+      "num_tokens": 3038049.0,
+      "step": 1665
+    },
+    {
+      "entropy": 5.969662141799927,
+      "epoch": 1.3835956917978458,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004959497022698466,
+      "loss": 5.9515,
+      "mean_token_accuracy": 0.14408120438456534,
+      "num_tokens": 3046674.0,
+      "step": 1670
+    },
+    {
+      "entropy": 6.0561059474945065,
+      "epoch": 1.387738193869097,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004958891191817163,
+      "loss": 5.9927,
+      "mean_token_accuracy": 0.12801324650645257,
+      "num_tokens": 3056459.0,
+      "step": 1675
+    },
+    {
+      "entropy": 6.032327270507812,
+      "epoch": 1.391880695940348,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000495828090536094,
+      "loss": 5.9845,
+      "mean_token_accuracy": 0.13036760538816453,
+      "num_tokens": 3066294.0,
+      "step": 1680
+    },
+    {
+      "entropy": 6.0512574195861815,
+      "epoch": 1.3960231980115991,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004957666164560815,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13139644563198088,
+      "num_tokens": 3075420.0,
+      "step": 1685
+    },
+    {
+      "entropy": 6.063203239440918,
+      "epoch": 1.40016570008285,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004957046970656784,
+      "loss": 6.0385,
+      "mean_token_accuracy": 0.13581736162304878,
+      "num_tokens": 3084373.0,
+      "step": 1690
+    },
+    {
+      "entropy": 6.00097541809082,
+      "epoch": 1.4043082021541011,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004956423324897831,
+      "loss": 6.0257,
+      "mean_token_accuracy": 0.13937310948967935,
+      "num_tokens": 3094212.0,
+      "step": 1695
+    },
+    {
+      "entropy": 6.043115425109863,
+      "epoch": 1.408450704225352,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004955795228541917,
+      "loss": 5.9589,
+      "mean_token_accuracy": 0.14452596232295037,
+      "num_tokens": 3102769.0,
+      "step": 1700
+    },
+    {
+      "entropy": 6.040110731124878,
+      "epoch": 1.4125932062966031,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000495516268285598,
+      "loss": 5.9805,
+      "mean_token_accuracy": 0.13440805301070213,
+      "num_tokens": 3111465.0,
+      "step": 1705
+    },
+    {
+      "entropy": 5.978239822387695,
+      "epoch": 1.4167357083678542,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004954525689115935,
+      "loss": 5.9177,
+      "mean_token_accuracy": 0.13326097056269645,
+      "num_tokens": 3121106.0,
+      "step": 1710
+    },
+    {
+      "entropy": 6.007881164550781,
+      "epoch": 1.4208782104391053,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004953884248606669,
+      "loss": 5.945,
+      "mean_token_accuracy": 0.14831372052431108,
+      "num_tokens": 3130662.0,
+      "step": 1715
+    },
+    {
+      "entropy": 5.97642674446106,
+      "epoch": 1.4250207125103562,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004953238362622034,
+      "loss": 5.9812,
+      "mean_token_accuracy": 0.13328263983130456,
+      "num_tokens": 3139538.0,
+      "step": 1720
+    },
+    {
+      "entropy": 6.0256367206573485,
+      "epoch": 1.4291632145816073,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004952588032464855,
+      "loss": 6.0298,
+      "mean_token_accuracy": 0.12707214802503586,
+      "num_tokens": 3148552.0,
+      "step": 1725
+    },
+    {
+      "entropy": 5.996851205825806,
+      "epoch": 1.4333057166528582,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004951933259446919,
+      "loss": 5.9365,
+      "mean_token_accuracy": 0.14197203740477563,
+      "num_tokens": 3156549.0,
+      "step": 1730
+    },
+    {
+      "entropy": 6.114988136291504,
+      "epoch": 1.4374482187241093,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004951274044888975,
+      "loss": 6.1006,
+      "mean_token_accuracy": 0.12147112190723419,
+      "num_tokens": 3166821.0,
+      "step": 1735
+    },
+    {
+      "entropy": 5.960144329071045,
+      "epoch": 1.4415907207953604,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004950610390120731,
+      "loss": 5.9848,
+      "mean_token_accuracy": 0.135729306191206,
+      "num_tokens": 3174962.0,
+      "step": 1740
+    },
+    {
+      "entropy": 6.087535095214844,
+      "epoch": 1.4457332228666115,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000494994229648085,
+      "loss": 5.8903,
+      "mean_token_accuracy": 0.13537728488445283,
+      "num_tokens": 3184027.0,
+      "step": 1745
+    },
+    {
+      "entropy": 5.957475805282593,
+      "epoch": 1.4498757249378624,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004949269765316948,
+      "loss": 6.0321,
+      "mean_token_accuracy": 0.13071285635232927,
+      "num_tokens": 3193186.0,
+      "step": 1750
+    },
+    {
+      "entropy": 6.171153354644775,
+      "epoch": 1.4540182270091135,
+      "grad_norm": 2.140625,
+      "learning_rate": 0.0004948592797985599,
+      "loss": 6.0525,
+      "mean_token_accuracy": 0.13555259853601456,
+      "num_tokens": 3202676.0,
+      "step": 1755
+    },
+    {
+      "entropy": 6.123908805847168,
+      "epoch": 1.4581607290803644,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947911395852317,
+      "loss": 6.1524,
+      "mean_token_accuracy": 0.1352410912513733,
+      "num_tokens": 3211950.0,
+      "step": 1760
+    },
+    {
+      "entropy": 6.120599699020386,
+      "epoch": 1.4623032311516155,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947225560291565,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12961760386824608,
+      "num_tokens": 3221135.0,
+      "step": 1765
+    },
+    {
+      "entropy": 5.962483358383179,
+      "epoch": 1.4664457332228666,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004946535292686746,
+      "loss": 5.8975,
+      "mean_token_accuracy": 0.13825839310884475,
+      "num_tokens": 3230174.0,
+      "step": 1770
+    },
+    {
+      "entropy": 5.979943370819091,
+      "epoch": 1.4705882352941178,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004945840594430209,
+      "loss": 5.8871,
+      "mean_token_accuracy": 0.1381668671965599,
+      "num_tokens": 3238898.0,
+      "step": 1775
+    },
+    {
+      "entropy": 5.973515844345092,
+      "epoch": 1.4747307373653686,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004945141466923235,
+      "loss": 5.9292,
+      "mean_token_accuracy": 0.14479121565818787,
+      "num_tokens": 3247550.0,
+      "step": 1780
+    },
+    {
+      "entropy": 6.113377714157105,
+      "epoch": 1.4788732394366197,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004944437911576041,
+      "loss": 6.0779,
+      "mean_token_accuracy": 0.12900342419743538,
+      "num_tokens": 3256810.0,
+      "step": 1785
+    },
+    {
+      "entropy": 5.9020613670349125,
+      "epoch": 1.4830157415078706,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004943729929807772,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.139550269395113,
+      "num_tokens": 3265886.0,
+      "step": 1790
+    },
+    {
+      "entropy": 6.06021089553833,
+      "epoch": 1.4871582435791217,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004943017523046507,
+      "loss": 5.9273,
+      "mean_token_accuracy": 0.137468421459198,
+      "num_tokens": 3274522.0,
+      "step": 1795
+    },
+    {
+      "entropy": 6.027210426330567,
+      "epoch": 1.4913007456503728,
+      "grad_norm": 1.25,
+      "learning_rate": 0.000494230069272925,
+      "loss": 6.0486,
+      "mean_token_accuracy": 0.13558472618460654,
+      "num_tokens": 3283388.0,
+      "step": 1800
+    },
+    {
+      "entropy": 5.989331531524658,
+      "epoch": 1.495443247721624,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004941579440301923,
+      "loss": 5.9224,
+      "mean_token_accuracy": 0.1305856943130493,
+      "num_tokens": 3291887.0,
+      "step": 1805
+    },
+    {
+      "entropy": 5.96136965751648,
+      "epoch": 1.4995857497928748,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940853767219372,
+      "loss": 5.9685,
+      "mean_token_accuracy": 0.13564062863588333,
+      "num_tokens": 3300674.0,
+      "step": 1810
+    },
+    {
+      "entropy": 5.9364429950714115,
+      "epoch": 1.503728251864126,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940123674945359,
+      "loss": 5.8311,
+      "mean_token_accuracy": 0.13808463513851166,
+      "num_tokens": 3309745.0,
+      "step": 1815
+    },
+    {
+      "entropy": 6.076629638671875,
+      "epoch": 1.5078707539353768,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004939389164952561,
+      "loss": 5.9722,
+      "mean_token_accuracy": 0.1378110609948635,
+      "num_tokens": 3318888.0,
+      "step": 1820
+    },
+    {
+      "entropy": 5.8970863819122314,
+      "epoch": 1.512013256006628,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004938650238722564,
+      "loss": 5.9296,
+      "mean_token_accuracy": 0.13823849260807036,
+      "num_tokens": 3328274.0,
+      "step": 1825
+    },
+    {
+      "entropy": 6.003948831558228,
+      "epoch": 1.516155758077879,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004937906897745861,
+      "loss": 5.9387,
+      "mean_token_accuracy": 0.1468382939696312,
+      "num_tokens": 3337579.0,
+      "step": 1830
+    },
+    {
+      "entropy": 6.045965003967285,
+      "epoch": 1.5202982601491302,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004937159143521856,
+      "loss": 5.9081,
+      "mean_token_accuracy": 0.14555162489414214,
+      "num_tokens": 3346262.0,
+      "step": 1835
+    },
+    {
+      "entropy": 5.972390079498291,
+      "epoch": 1.5244407622203813,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004936406977558847,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.13030771315097808,
+      "num_tokens": 3354833.0,
+      "step": 1840
+    },
+    {
+      "entropy": 6.051387977600098,
+      "epoch": 1.5285832642916322,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004935650401374039,
+      "loss": 6.0906,
+      "mean_token_accuracy": 0.14119647368788718,
+      "num_tokens": 3364314.0,
+      "step": 1845
+    },
+    {
+      "entropy": 6.046140813827515,
+      "epoch": 1.532725766362883,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004934889416493524,
+      "loss": 5.9157,
+      "mean_token_accuracy": 0.13524662256240844,
+      "num_tokens": 3373648.0,
+      "step": 1850
+    },
+    {
+      "entropy": 5.863892507553101,
+      "epoch": 1.5368682684341342,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004934124024452295,
+      "loss": 5.7869,
+      "mean_token_accuracy": 0.1471114367246628,
+      "num_tokens": 3382919.0,
+      "step": 1855
+    },
+    {
+      "entropy": 5.888700532913208,
+      "epoch": 1.5410107705053853,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004933354226794232,
+      "loss": 5.9383,
+      "mean_token_accuracy": 0.1432707317173481,
+      "num_tokens": 3391814.0,
+      "step": 1860
+    },
+    {
+      "entropy": 6.080925798416137,
+      "epoch": 1.5451532725766364,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004932580025072098,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.13580586463212968,
+      "num_tokens": 3400392.0,
+      "step": 1865
+    },
+    {
+      "entropy": 5.996384525299073,
+      "epoch": 1.5492957746478875,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004931801420847545,
+      "loss": 6.036,
+      "mean_token_accuracy": 0.13089759424328803,
+      "num_tokens": 3410430.0,
+      "step": 1870
+    },
+    {
+      "entropy": 5.932257795333863,
+      "epoch": 1.5534382767191384,
+      "grad_norm": 0.9609375,
+      "learning_rate": 0.0004931018415691102,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.13694921880960464,
+      "num_tokens": 3420654.0,
+      "step": 1875
+    },
+    {
+      "entropy": 5.951343011856079,
+      "epoch": 1.5575807787903893,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004930231011182176,
+      "loss": 5.9986,
+      "mean_token_accuracy": 0.13937177062034606,
+      "num_tokens": 3430514.0,
+      "step": 1880
+    },
+    {
+      "entropy": 6.071512508392334,
+      "epoch": 1.5617232808616404,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004929439208909048,
+      "loss": 5.9331,
+      "mean_token_accuracy": 0.1375361390411854,
+      "num_tokens": 3439551.0,
+      "step": 1885
+    },
+    {
+      "entropy": 5.902947330474854,
+      "epoch": 1.5658657829328915,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004928643010468869,
+      "loss": 5.8911,
+      "mean_token_accuracy": 0.13622887432575226,
+      "num_tokens": 3448160.0,
+      "step": 1890
+    },
+    {
+      "entropy": 5.993059539794922,
+      "epoch": 1.5700082850041426,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004927842417467659,
+      "loss": 5.9517,
+      "mean_token_accuracy": 0.14548188596963882,
+      "num_tokens": 3457296.0,
+      "step": 1895
+    },
+    {
+      "entropy": 6.027637386322022,
+      "epoch": 1.5741507870753937,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004927037431520302,
+      "loss": 5.9073,
+      "mean_token_accuracy": 0.14102519080042838,
+      "num_tokens": 3466108.0,
+      "step": 1900
+    },
+    {
+      "entropy": 5.975209665298462,
+      "epoch": 1.5782932891466446,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004926228054250541,
+      "loss": 5.9941,
+      "mean_token_accuracy": 0.14009249955415726,
+      "num_tokens": 3475336.0,
+      "step": 1905
+    },
+    {
+      "entropy": 6.073916673660278,
+      "epoch": 1.5824357912178955,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004925414287290979,
+      "loss": 5.9668,
+      "mean_token_accuracy": 0.13723743334412575,
+      "num_tokens": 3483963.0,
+      "step": 1910
+    },
+    {
+      "entropy": 5.848618030548096,
+      "epoch": 1.5865782932891466,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004924596132283075,
+      "loss": 5.8765,
+      "mean_token_accuracy": 0.14485997408628465,
+      "num_tokens": 3492947.0,
+      "step": 1915
+    },
+    {
+      "entropy": 5.966853284835816,
+      "epoch": 1.5907207953603977,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004923773590877135,
+      "loss": 5.9651,
+      "mean_token_accuracy": 0.13334692791104316,
+      "num_tokens": 3501877.0,
+      "step": 1920
+    },
+    {
+      "entropy": 6.042904996871949,
+      "epoch": 1.5948632974316488,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004922946664732314,
+      "loss": 6.0304,
+      "mean_token_accuracy": 0.13204361274838447,
+      "num_tokens": 3510610.0,
+      "step": 1925
+    },
+    {
+      "entropy": 6.0583656311035154,
+      "epoch": 1.5990057995029,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004922115355516615,
+      "loss": 5.9841,
+      "mean_token_accuracy": 0.13304307833313941,
+      "num_tokens": 3519829.0,
+      "step": 1930
+    },
+    {
+      "entropy": 6.015839862823486,
+      "epoch": 1.6031483015741508,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004921279664906877,
+      "loss": 5.9661,
+      "mean_token_accuracy": 0.13071200698614122,
+      "num_tokens": 3529408.0,
+      "step": 1935
+    },
+    {
+      "entropy": 5.924501991271972,
+      "epoch": 1.6072908036454017,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004920439594588781,
+      "loss": 5.8955,
+      "mean_token_accuracy": 0.14675913602113724,
+      "num_tokens": 3538068.0,
+      "step": 1940
+    },
+    {
+      "entropy": 6.051935148239136,
+      "epoch": 1.6114333057166528,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000491959514625684,
+      "loss": 6.0177,
+      "mean_token_accuracy": 0.13845598921179772,
+      "num_tokens": 3547302.0,
+      "step": 1945
+    },
+    {
+      "entropy": 5.956210565567017,
+      "epoch": 1.6155758077879039,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00049187463216144,
+      "loss": 5.9024,
+      "mean_token_accuracy": 0.145584287494421,
+      "num_tokens": 3556087.0,
+      "step": 1950
+    },
+    {
+      "entropy": 6.046857452392578,
+      "epoch": 1.619718309859155,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.000491789312237363,
+      "loss": 5.9857,
+      "mean_token_accuracy": 0.13579782098531723,
+      "num_tokens": 3566235.0,
+      "step": 1955
+    },
+    {
+      "entropy": 5.983897924423218,
+      "epoch": 1.623860811930406,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004917035550255528,
+      "loss": 5.899,
+      "mean_token_accuracy": 0.14092317298054696,
+      "num_tokens": 3574762.0,
+      "step": 1960
+    },
+    {
+      "entropy": 5.904513597488403,
+      "epoch": 1.628003314001657,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000491617360698991,
+      "loss": 5.8837,
+      "mean_token_accuracy": 0.139695380628109,
+      "num_tokens": 3583359.0,
+      "step": 1965
+    },
+    {
+      "entropy": 5.920687866210938,
+      "epoch": 1.6321458160729079,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004915307294315412,
+      "loss": 5.8505,
+      "mean_token_accuracy": 0.14011457338929176,
+      "num_tokens": 3591436.0,
+      "step": 1970
+    },
+    {
+      "entropy": 5.926318550109864,
+      "epoch": 1.636288318144159,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.000491443661397948,
+      "loss": 5.9355,
+      "mean_token_accuracy": 0.13468224480748175,
+      "num_tokens": 3601054.0,
+      "step": 1975
+    },
+    {
+      "entropy": 5.974443817138672,
+      "epoch": 1.64043082021541,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004913561567738368,
+      "loss": 5.9014,
+      "mean_token_accuracy": 0.1383673779666424,
+      "num_tokens": 3610641.0,
+      "step": 1980
+    },
+    {
+      "entropy": 5.912512636184692,
+      "epoch": 1.6445733222866612,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004912682157357146,
+      "loss": 5.8447,
+      "mean_token_accuracy": 0.13975749984383584,
+      "num_tokens": 3619351.0,
+      "step": 1985
+    },
+    {
+      "entropy": 5.853101539611816,
+      "epoch": 1.6487158243579123,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004911798384609675,
+      "loss": 5.8306,
+      "mean_token_accuracy": 0.1472959376871586,
+      "num_tokens": 3627341.0,
+      "step": 1990
+    },
+    {
+      "entropy": 5.942045879364014,
+      "epoch": 1.6528583264291632,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004910910251278626,
+      "loss": 5.8918,
+      "mean_token_accuracy": 0.14801610112190247,
+      "num_tokens": 3637132.0,
+      "step": 1995
+    },
+    {
+      "entropy": 5.919465351104736,
+      "epoch": 1.6570008285004143,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004910017759155458,
+      "loss": 5.9479,
+      "mean_token_accuracy": 0.1400071859359741,
+      "num_tokens": 3646196.0,
+      "step": 2000
+    },
+    {
+      "epoch": 1.6570008285004143,
+      "eval_entropy": 5.874394122979789,
+      "eval_loss": 6.1148576736450195,
+      "eval_mean_token_accuracy": 0.1363023624046525,
+      "eval_num_tokens": 3646196.0,
+      "eval_runtime": 2.7574,
+      "eval_samples_per_second": 1358.871,
+      "eval_steps_per_second": 170.085,
+      "step": 2000
+    },
+    {
+      "entropy": 5.967284250259399,
+      "epoch": 1.6611433305716652,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004909120910040427,
+      "loss": 5.8839,
+      "mean_token_accuracy": 0.1461731344461441,
+      "num_tokens": 3654658.0,
+      "step": 2005
+    },
+    {
+      "entropy": 6.045904684066772,
+      "epoch": 1.6652858326429163,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004908219705742574,
+      "loss": 6.1605,
+      "mean_token_accuracy": 0.13489469960331918,
+      "num_tokens": 3664509.0,
+      "step": 2010
+    },
+    {
+      "entropy": 6.002130031585693,
+      "epoch": 1.6694283347141674,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004907314148079727,
+      "loss": 5.8567,
+      "mean_token_accuracy": 0.1425239197909832,
+      "num_tokens": 3672983.0,
+      "step": 2015
+    },
+    {
+      "entropy": 5.708412790298462,
+      "epoch": 1.6735708367854185,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004906404238878496,
+      "loss": 5.7221,
+      "mean_token_accuracy": 0.14639501571655272,
+      "num_tokens": 3681196.0,
+      "step": 2020
+    },
+    {
+      "entropy": 5.97982873916626,
+      "epoch": 1.6777133388566694,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004905489979974265,
+      "loss": 5.9098,
+      "mean_token_accuracy": 0.14081615954637527,
+      "num_tokens": 3690077.0,
+      "step": 2025
+    },
+    {
+      "entropy": 5.942774772644043,
+      "epoch": 1.6818558409279205,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004904571373211197,
+      "loss": 5.9906,
+      "mean_token_accuracy": 0.13563016131520272,
+      "num_tokens": 3700121.0,
+      "step": 2030
+    },
+    {
+      "entropy": 5.897730588912964,
+      "epoch": 1.6859983429991714,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000490364842044222,
+      "loss": 5.8074,
+      "mean_token_accuracy": 0.14530285224318504,
+      "num_tokens": 3709618.0,
+      "step": 2035
+    },
+    {
+      "entropy": 5.954602289199829,
+      "epoch": 1.6901408450704225,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004902721123529031,
+      "loss": 5.9869,
+      "mean_token_accuracy": 0.12953415215015412,
+      "num_tokens": 3719570.0,
+      "step": 2040
+    },
+    {
+      "entropy": 6.074023342132568,
+      "epoch": 1.6942833471416736,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000490178948434209,
+      "loss": 5.9267,
+      "mean_token_accuracy": 0.14249598532915114,
+      "num_tokens": 3729354.0,
+      "step": 2045
+    },
+    {
+      "entropy": 5.833365964889526,
+      "epoch": 1.6984258492129247,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004900853504760614,
+      "loss": 5.8409,
+      "mean_token_accuracy": 0.14450331926345825,
+      "num_tokens": 3738453.0,
+      "step": 2050
+    },
+    {
+      "entropy": 5.888468265533447,
+      "epoch": 1.7025683512841756,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004899913186672577,
+      "loss": 5.8165,
+      "mean_token_accuracy": 0.14293194860219954,
+      "num_tokens": 3747815.0,
+      "step": 2055
+    },
+    {
+      "entropy": 5.914711236953735,
+      "epoch": 1.7067108533554267,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004898968531974702,
+      "loss": 5.9249,
+      "mean_token_accuracy": 0.14642315953969956,
+      "num_tokens": 3757298.0,
+      "step": 2060
+    },
+    {
+      "entropy": 5.978992033004761,
+      "epoch": 1.7108533554266776,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004898019542572462,
+      "loss": 5.9124,
+      "mean_token_accuracy": 0.14719650894403458,
+      "num_tokens": 3765939.0,
+      "step": 2065
+    },
+    {
+      "entropy": 6.005469894409179,
+      "epoch": 1.7149958574979287,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004897066220380073,
+      "loss": 5.933,
+      "mean_token_accuracy": 0.13779435828328132,
+      "num_tokens": 3775160.0,
+      "step": 2070
+    },
+    {
+      "entropy": 5.921374797821045,
+      "epoch": 1.7191383595691798,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004896108567320489,
+      "loss": 5.831,
+      "mean_token_accuracy": 0.14186858981847764,
+      "num_tokens": 3785181.0,
+      "step": 2075
+    },
+    {
+      "entropy": 5.972924375534058,
+      "epoch": 1.723280861640431,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048951465853254,
+      "loss": 5.9444,
+      "mean_token_accuracy": 0.14323145076632499,
+      "num_tokens": 3794531.0,
+      "step": 2080
+    },
+    {
+      "entropy": 5.953138160705566,
+      "epoch": 1.7274233637116818,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004894180276335231,
+      "loss": 5.934,
+      "mean_token_accuracy": 0.1396125227212906,
+      "num_tokens": 3804602.0,
+      "step": 2085
+    },
+    {
+      "entropy": 5.9721667766571045,
+      "epoch": 1.731565865782933,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004893209642299132,
+      "loss": 5.97,
+      "mean_token_accuracy": 0.1395590640604496,
+      "num_tokens": 3813394.0,
+      "step": 2090
+    },
+    {
+      "entropy": 5.97849326133728,
+      "epoch": 1.7357083678541838,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004892234685174976,
+      "loss": 5.962,
+      "mean_token_accuracy": 0.13808128908276557,
+      "num_tokens": 3821604.0,
+      "step": 2095
+    },
+    {
+      "entropy": 5.967495775222778,
+      "epoch": 1.739850869925435,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004891255406929359,
+      "loss": 5.9564,
+      "mean_token_accuracy": 0.13652343899011612,
+      "num_tokens": 3831977.0,
+      "step": 2100
+    },
+    {
+      "entropy": 5.98737063407898,
+      "epoch": 1.743993371996686,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004890271809537595,
+      "loss": 5.9017,
+      "mean_token_accuracy": 0.1393343411386013,
+      "num_tokens": 3840684.0,
+      "step": 2105
+    },
+    {
+      "entropy": 5.870862340927124,
+      "epoch": 1.7481358740679371,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004889283894983704,
+      "loss": 5.8147,
+      "mean_token_accuracy": 0.1389534741640091,
+      "num_tokens": 3851147.0,
+      "step": 2110
+    },
+    {
+      "entropy": 6.002704238891601,
+      "epoch": 1.752278376139188,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000488829166526042,
+      "loss": 5.9838,
+      "mean_token_accuracy": 0.13991605415940284,
+      "num_tokens": 3859881.0,
+      "step": 2115
+    },
+    {
+      "entropy": 5.948231506347656,
+      "epoch": 1.7564208782104391,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004887295122369176,
+      "loss": 6.0107,
+      "mean_token_accuracy": 0.13371825441718102,
+      "num_tokens": 3870151.0,
+      "step": 2120
+    },
+    {
+      "entropy": 5.99525203704834,
+      "epoch": 1.76056338028169,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.000488629426832011,
+      "loss": 5.9313,
+      "mean_token_accuracy": 0.13850879445672035,
+      "num_tokens": 3878398.0,
+      "step": 2125
+    },
+    {
+      "entropy": 5.924004030227661,
+      "epoch": 1.7647058823529411,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004885289105132054,
+      "loss": 5.8893,
+      "mean_token_accuracy": 0.14114601090550422,
+      "num_tokens": 3888007.0,
+      "step": 2130
+    },
+    {
+      "entropy": 5.930246257781983,
+      "epoch": 1.7688483844241922,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004884279634832532,
+      "loss": 5.8728,
+      "mean_token_accuracy": 0.14278061985969542,
+      "num_tokens": 3896945.0,
+      "step": 2135
+    },
+    {
+      "entropy": 5.940092372894287,
+      "epoch": 1.7729908864954433,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004883265859457754,
+      "loss": 5.8905,
+      "mean_token_accuracy": 0.1457919418811798,
+      "num_tokens": 3906049.0,
+      "step": 2140
+    },
+    {
+      "entropy": 5.866062164306641,
+      "epoch": 1.7771333885666944,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048822477810526186,
+      "loss": 5.8422,
+      "mean_token_accuracy": 0.1388966679573059,
+      "num_tokens": 3915050.0,
+      "step": 2145
+    },
+    {
+      "entropy": 5.966696119308471,
+      "epoch": 1.7812758906379453,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00048812254016706994,
+      "loss": 5.9205,
+      "mean_token_accuracy": 0.14728582575917243,
+      "num_tokens": 3924031.0,
+      "step": 2150
+    },
+    {
+      "entropy": 5.915832757949829,
+      "epoch": 1.7854183927091962,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004880198723374247,
+      "loss": 5.9776,
+      "mean_token_accuracy": 0.14149753525853156,
+      "num_tokens": 3933756.0,
+      "step": 2155
+    },
+    {
+      "entropy": 5.959774684906006,
+      "epoch": 1.7895608947804473,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048791677482341845,
+      "loss": 5.9592,
+      "mean_token_accuracy": 0.13750381171703338,
+      "num_tokens": 3943129.0,
+      "step": 2160
+    },
+    {
+      "entropy": 5.881538438796997,
+      "epoch": 1.7937033968516984,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048781324783301016,
+      "loss": 5.7912,
+      "mean_token_accuracy": 0.14508036673069,
+      "num_tokens": 3951494.0,
+      "step": 2165
+    },
+    {
+      "entropy": 5.946735525131226,
+      "epoch": 1.7978458989229495,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048770929157502505,
+      "loss": 5.9565,
+      "mean_token_accuracy": 0.143115097284317,
+      "num_tokens": 3960588.0,
+      "step": 2170
+    },
+    {
+      "entropy": 5.9805809497833256,
+      "epoch": 1.8019884009942007,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004876049062591543,
+      "loss": 5.9226,
+      "mean_token_accuracy": 0.13506680428981782,
+      "num_tokens": 3970135.0,
+      "step": 2175
+    },
+    {
+      "entropy": 5.950060653686523,
+      "epoch": 1.8061309030654515,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048750009209595443,
+      "loss": 5.9042,
+      "mean_token_accuracy": 0.13944360390305519,
+      "num_tokens": 3979569.0,
+      "step": 2180
+    },
+    {
+      "entropy": 5.88271656036377,
+      "epoch": 1.8102734051367024,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048739484929684714,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.144245932251215,
+      "num_tokens": 3987885.0,
+      "step": 2185
+    },
+    {
+      "entropy": 5.933677864074707,
+      "epoch": 1.8144159072079535,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048728917807411856,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.13125594183802605,
+      "num_tokens": 3997726.0,
+      "step": 2190
+    },
+    {
+      "entropy": 6.008653068542481,
+      "epoch": 1.8185584092792046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004871830786409191,
+      "loss": 5.8436,
+      "mean_token_accuracy": 0.14898036047816277,
+      "num_tokens": 4006437.0,
+      "step": 2195
+    },
+    {
+      "entropy": 5.856683444976807,
+      "epoch": 1.8227009113504558,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00048707655121126296,
+      "loss": 5.8124,
+      "mean_token_accuracy": 0.14927435666322708,
+      "num_tokens": 4015326.0,
+      "step": 2200
+    },
+    {
+      "entropy": 5.924995994567871,
+      "epoch": 1.8268434134217069,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048696959600002767,
+      "loss": 5.8722,
+      "mean_token_accuracy": 0.14032577201724053,
+      "num_tokens": 4024294.0,
+      "step": 2205
+    },
+    {
+      "entropy": 5.881852293014527,
+      "epoch": 1.8309859154929577,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048686221322295347,
+      "loss": 5.9028,
+      "mean_token_accuracy": 0.14340249821543694,
+      "num_tokens": 4033341.0,
+      "step": 2210
+    },
+    {
+      "entropy": 5.951443433761597,
+      "epoch": 1.8351284175642086,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048675440309664314,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.1474481076002121,
+      "num_tokens": 4042446.0,
+      "step": 2215
+    },
+    {
+      "entropy": 5.832607173919678,
+      "epoch": 1.8392709196354597,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00048664616583856166,
+      "loss": 5.8924,
+      "mean_token_accuracy": 0.13868724405765534,
+      "num_tokens": 4051849.0,
+      "step": 2220
+    },
+    {
+      "entropy": 6.026660823822022,
+      "epoch": 1.8434134217067109,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00048653750166703516,
+      "loss": 5.9855,
+      "mean_token_accuracy": 0.1381051518023014,
+      "num_tokens": 4061075.0,
+      "step": 2225
+    },
+    {
+      "entropy": 5.976817560195923,
+      "epoch": 1.847555923777962,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004864284108012513,
+      "loss": 5.9524,
+      "mean_token_accuracy": 0.13498588278889656,
+      "num_tokens": 4071022.0,
+      "step": 2230
+    },
+    {
+      "entropy": 5.884273719787598,
+      "epoch": 1.851698425849213,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004863188934612583,
+      "loss": 5.854,
+      "mean_token_accuracy": 0.1435965158045292,
+      "num_tokens": 4080728.0,
+      "step": 2235
+    },
+    {
+      "entropy": 5.8848789691925045,
+      "epoch": 1.855840927920464,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004862089498679645,
+      "loss": 5.8121,
+      "mean_token_accuracy": 0.15146355628967284,
+      "num_tokens": 4088712.0,
+      "step": 2240
+    },
+    {
+      "entropy": 5.904728364944458,
+      "epoch": 1.8599834299917148,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004860985802431383,
+      "loss": 5.8445,
+      "mean_token_accuracy": 0.14107747822999955,
+      "num_tokens": 4097488.0,
+      "step": 2245
+    },
+    {
+      "entropy": 5.815548610687256,
+      "epoch": 1.864125932062966,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004859877848094071,
+      "loss": 5.8328,
+      "mean_token_accuracy": 0.14647450745105745,
+      "num_tokens": 4106485.0,
+      "step": 2250
+    },
+    {
+      "entropy": 5.969652986526489,
+      "epoch": 1.868268434134217,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004858765637902575,
+      "loss": 5.8016,
+      "mean_token_accuracy": 0.14588006138801574,
+      "num_tokens": 4115806.0,
+      "step": 2255
+    },
+    {
+      "entropy": 5.982199335098267,
+      "epoch": 1.8724109362054682,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004857649174100344,
+      "loss": 5.9353,
+      "mean_token_accuracy": 0.14478921219706536,
+      "num_tokens": 4124636.0,
+      "step": 2260
+    },
+    {
+      "entropy": 5.869907474517822,
+      "epoch": 1.8765534382767193,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.0004856528458939409,
+      "loss": 5.8948,
+      "mean_token_accuracy": 0.13403457626700402,
+      "num_tokens": 4133876.0,
+      "step": 2265
+    },
+    {
+      "entropy": 5.836872100830078,
+      "epoch": 1.8806959403479702,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004855403494680373,
+      "loss": 5.8159,
+      "mean_token_accuracy": 0.14096100330352784,
+      "num_tokens": 4143555.0,
+      "step": 2270
+    },
+    {
+      "entropy": 5.871636962890625,
+      "epoch": 1.884838442419221,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00048542742835924133,
+      "loss": 5.7773,
+      "mean_token_accuracy": 0.14253296032547952,
+      "num_tokens": 4153007.0,
+      "step": 2275
+    },
+    {
+      "entropy": 5.766701364517212,
+      "epoch": 1.8889809444904722,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048531408279532705,
+      "loss": 5.8171,
+      "mean_token_accuracy": 0.14552054405212403,
+      "num_tokens": 4162107.0,
+      "step": 2280
+    },
+    {
+      "entropy": 5.884533357620239,
+      "epoch": 1.8931234465617233,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048520031300492507,
+      "loss": 5.8208,
+      "mean_token_accuracy": 0.14203491136431695,
+      "num_tokens": 4170920.0,
+      "step": 2285
+    },
+    {
+      "entropy": 5.9367118835449215,
+      "epoch": 1.8972659486329744,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048508611921752124,
+      "loss": 5.8366,
+      "mean_token_accuracy": 0.14547978863120078,
+      "num_tokens": 4180226.0,
+      "step": 2290
+    },
+    {
+      "entropy": 5.804201984405518,
+      "epoch": 1.9014084507042255,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00048497150166345703,
+      "loss": 5.7799,
+      "mean_token_accuracy": 0.14307984560728074,
+      "num_tokens": 4189283.0,
+      "step": 2295
+    },
+    {
+      "entropy": 5.833661937713623,
+      "epoch": 1.9055509527754764,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004848564605739287,
+      "loss": 5.8181,
+      "mean_token_accuracy": 0.14286661818623542,
+      "num_tokens": 4199017.0,
+      "step": 2300
+    },
+    {
+      "entropy": 5.985245418548584,
+      "epoch": 1.9096934548467275,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048474099618098644,
+      "loss": 5.9557,
+      "mean_token_accuracy": 0.13776218444108962,
+      "num_tokens": 4207756.0,
+      "step": 2305
+    },
+    {
+      "entropy": 5.926583385467529,
+      "epoch": 1.9138359569179784,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004846251087175348,
+      "loss": 5.8467,
+      "mean_token_accuracy": 0.14270823299884797,
+      "num_tokens": 4216721.0,
+      "step": 2310
+    },
+    {
+      "entropy": 5.816466999053955,
+      "epoch": 1.9179784589892295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004845087984173312,
+      "loss": 5.8214,
+      "mean_token_accuracy": 0.14952016696333886,
+      "num_tokens": 4225596.0,
+      "step": 2315
+    },
+    {
+      "entropy": 5.975145244598389,
+      "epoch": 1.9221209610604806,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048439206551498644,
+      "loss": 5.8881,
+      "mean_token_accuracy": 0.14604572355747222,
+      "num_tokens": 4234500.0,
+      "step": 2320
+    },
+    {
+      "entropy": 5.83410792350769,
+      "epoch": 1.9262634631317317,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004842749102459635,
+      "loss": 5.8331,
+      "mean_token_accuracy": 0.14477182626724244,
+      "num_tokens": 4243240.0,
+      "step": 2325
+    },
+    {
+      "entropy": 5.799895906448365,
+      "epoch": 1.9304059652029826,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048415733284657727,
+      "loss": 5.8249,
+      "mean_token_accuracy": 0.14724751114845275,
+      "num_tokens": 4251892.0,
+      "step": 2330
+    },
+    {
+      "entropy": 5.914888668060303,
+      "epoch": 1.9345484672742337,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004840393335539943,
+      "loss": 5.784,
+      "mean_token_accuracy": 0.14537777602672577,
+      "num_tokens": 4261447.0,
+      "step": 2335
+    },
+    {
+      "entropy": 5.93565788269043,
+      "epoch": 1.9386909693454846,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048392091260623195,
+      "loss": 5.9202,
+      "mean_token_accuracy": 0.1471864774823189,
+      "num_tokens": 4270120.0,
+      "step": 2340
+    },
+    {
+      "entropy": 5.905978488922119,
+      "epoch": 1.9428334714167357,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048380207024215836,
+      "loss": 5.7991,
+      "mean_token_accuracy": 0.1482786476612091,
+      "num_tokens": 4278300.0,
+      "step": 2345
+    },
+    {
+      "entropy": 5.905145263671875,
+      "epoch": 1.9469759734879868,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00048368280670149145,
+      "loss": 5.8487,
+      "mean_token_accuracy": 0.1461447760462761,
+      "num_tokens": 4286454.0,
+      "step": 2350
+    },
+    {
+      "entropy": 5.805000495910645,
+      "epoch": 1.951118475559238,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004835631222247989,
+      "loss": 5.7243,
+      "mean_token_accuracy": 0.15050614029169082,
+      "num_tokens": 4294752.0,
+      "step": 2355
+    },
+    {
+      "entropy": 5.907592630386352,
+      "epoch": 1.9552609776304888,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00048344301705349735,
+      "loss": 5.7974,
+      "mean_token_accuracy": 0.14830030649900436,
+      "num_tokens": 4303195.0,
+      "step": 2360
+    },
+    {
+      "entropy": 5.841587924957276,
+      "epoch": 1.95940347970174,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048332249142985195,
+      "loss": 5.9211,
+      "mean_token_accuracy": 0.1373597078025341,
+      "num_tokens": 4311961.0,
+      "step": 2365
+    },
+    {
+      "entropy": 5.900353670120239,
+      "epoch": 1.9635459817729908,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004832015455969763,
+      "loss": 5.7748,
+      "mean_token_accuracy": 0.13879901468753814,
+      "num_tokens": 4322267.0,
+      "step": 2370
+    },
+    {
+      "entropy": 5.774641275405884,
+      "epoch": 1.9676884838442419,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048308017979883114,
+      "loss": 5.8838,
+      "mean_token_accuracy": 0.1426581546664238,
+      "num_tokens": 4330584.0,
+      "step": 2375
+    },
+    {
+      "entropy": 5.840176010131836,
+      "epoch": 1.971830985915493,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048295839428022454,
+      "loss": 5.7215,
+      "mean_token_accuracy": 0.14949245899915695,
+      "num_tokens": 4339215.0,
+      "step": 2380
+    },
+    {
+      "entropy": 5.869688034057617,
+      "epoch": 1.975973487986744,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00048283618928681127,
+      "loss": 5.7418,
+      "mean_token_accuracy": 0.1501791574060917,
+      "num_tokens": 4347711.0,
+      "step": 2385
+    },
+    {
+      "entropy": 5.764533996582031,
+      "epoch": 1.980115990057995,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004827135650650923,
+      "loss": 5.7445,
+      "mean_token_accuracy": 0.14758301600813867,
+      "num_tokens": 4356982.0,
+      "step": 2390
+    },
+    {
+      "entropy": 5.770398235321045,
+      "epoch": 1.984258492129246,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004825905218624139,
+      "loss": 5.7696,
+      "mean_token_accuracy": 0.14773683473467827,
+      "num_tokens": 4365378.0,
+      "step": 2395
+    },
+    {
+      "entropy": 5.9908288478851315,
+      "epoch": 1.988400994200497,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048246705992696756,
+      "loss": 5.8174,
+      "mean_token_accuracy": 0.14142358154058457,
+      "num_tokens": 4374007.0,
+      "step": 2400
+    },
+    {
+      "entropy": 5.9741987705230715,
+      "epoch": 1.992543496271748,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048234317950778975,
+      "loss": 5.9346,
+      "mean_token_accuracy": 0.1409923940896988,
+      "num_tokens": 4383909.0,
+      "step": 2405
+    },
+    {
+      "entropy": 5.967488718032837,
+      "epoch": 1.9966859983429992,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004822188808547607,
+      "loss": 5.9967,
+      "mean_token_accuracy": 0.13560240790247918,
+      "num_tokens": 4393145.0,
+      "step": 2410
+    },
+    {
+      "entropy": 5.751282596588135,
+      "epoch": 2.0008285004142503,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004820941642186043,
+      "loss": 5.7146,
+      "mean_token_accuracy": 0.14043126851320267,
+      "num_tokens": 4402024.0,
+      "step": 2415
+    },
+    {
+      "entropy": 5.91456356048584,
+      "epoch": 2.0049710024855014,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004819690298508879,
+      "loss": 5.5395,
+      "mean_token_accuracy": 0.1603303700685501,
+      "num_tokens": 4411377.0,
+      "step": 2420
+    },
+    {
+      "entropy": 5.758482313156128,
+      "epoch": 2.009113504556752,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048184347800402083,
+      "loss": 5.4299,
+      "mean_token_accuracy": 0.16564757078886033,
+      "num_tokens": 4419781.0,
+      "step": 2425
+    },
+    {
+      "entropy": 5.727555131912231,
+      "epoch": 2.013256006628003,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004817175089312551,
+      "loss": 5.4154,
+      "mean_token_accuracy": 0.16400155574083328,
+      "num_tokens": 4428427.0,
+      "step": 2430
+    },
+    {
+      "entropy": 5.749885892868042,
+      "epoch": 2.0173985086992543,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048159112288668403,
+      "loss": 5.4586,
+      "mean_token_accuracy": 0.15933601409196854,
+      "num_tokens": 4438156.0,
+      "step": 2435
+    },
+    {
+      "entropy": 5.876013088226318,
+      "epoch": 2.0215410107705054,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00048146432012524215,
+      "loss": 5.4819,
+      "mean_token_accuracy": 0.16306492537260056,
+      "num_tokens": 4446342.0,
+      "step": 2440
+    },
+    {
+      "entropy": 5.738983201980591,
+      "epoch": 2.0256835128417565,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00048133710090270446,
+      "loss": 5.5229,
+      "mean_token_accuracy": 0.1542331963777542,
+      "num_tokens": 4455582.0,
+      "step": 2445
+    },
+    {
+      "entropy": 5.815389633178711,
+      "epoch": 2.0298260149130076,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048120946547568596,
+      "loss": 5.5375,
+      "mean_token_accuracy": 0.15604802072048188,
+      "num_tokens": 4464518.0,
+      "step": 2450
+    },
+    {
+      "entropy": 5.927202749252319,
+      "epoch": 2.0339685169842583,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00048108141410164133,
+      "loss": 5.6588,
+      "mean_token_accuracy": 0.14534952044486998,
+      "num_tokens": 4475031.0,
+      "step": 2455
+    },
+    {
+      "entropy": 5.8722837448120115,
+      "epoch": 2.0381110190555094,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004809529470388642,
+      "loss": 5.5396,
+      "mean_token_accuracy": 0.1577153742313385,
+      "num_tokens": 4484609.0,
+      "step": 2460
+    },
+    {
+      "entropy": 5.787671709060669,
+      "epoch": 2.0422535211267605,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004808240645464866,
+      "loss": 5.5698,
+      "mean_token_accuracy": 0.15477177649736404,
+      "num_tokens": 4494238.0,
+      "step": 2465
+    },
+    {
+      "entropy": 5.684235668182373,
+      "epoch": 2.0463960231980116,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004806947668844787,
+      "loss": 5.4573,
+      "mean_token_accuracy": 0.16172746568918228,
+      "num_tokens": 4503258.0,
+      "step": 2470
+    },
+    {
+      "entropy": 5.786364412307739,
+      "epoch": 2.0505385252692627,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048056505431364794,
+      "loss": 5.5091,
+      "mean_token_accuracy": 0.15975141078233718,
+      "num_tokens": 4512071.0,
+      "step": 2475
+    },
+    {
+      "entropy": 5.736668491363526,
+      "epoch": 2.054681027340514,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00048043492709563877,
+      "loss": 5.3461,
+      "mean_token_accuracy": 0.17059434503316878,
+      "num_tokens": 4520219.0,
+      "step": 2480
+    },
+    {
+      "entropy": 5.672813034057617,
+      "epoch": 2.0588235294117645,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048030438549293193,
+      "loss": 5.5568,
+      "mean_token_accuracy": 0.15284566581249237,
+      "num_tokens": 4529386.0,
+      "step": 2485
+    },
+    {
+      "entropy": 5.830966377258301,
+      "epoch": 2.0629660314830156,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00048017342976884424,
+      "loss": 5.5638,
+      "mean_token_accuracy": 0.15199215039610864,
+      "num_tokens": 4538860.0,
+      "step": 2490
+    },
+    {
+      "entropy": 5.761076402664185,
+      "epoch": 2.0671085335542667,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048004206018752773,
+      "loss": 5.5299,
+      "mean_token_accuracy": 0.15335657596588134,
+      "num_tokens": 4547842.0,
+      "step": 2495
+    },
+    {
+      "entropy": 5.733208799362183,
+      "epoch": 2.071251035625518,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047991027701396895,
+      "loss": 5.5026,
+      "mean_token_accuracy": 0.15411428660154342,
+      "num_tokens": 4556238.0,
+      "step": 2500
+    },
+    {
+      "epoch": 2.071251035625518,
+      "eval_entropy": 5.642364594473768,
+      "eval_loss": 6.032641410827637,
+      "eval_mean_token_accuracy": 0.1416530203399882,
+      "eval_num_tokens": 4556238.0,
+      "eval_runtime": 2.7817,
+      "eval_samples_per_second": 1347.034,
+      "eval_steps_per_second": 168.604,
+      "step": 2500
+    },
+    {
+      "entropy": 5.732073068618774,
+      "epoch": 2.075393537696769,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004797780805139892,
+      "loss": 5.5069,
+      "mean_token_accuracy": 0.1587075412273407,
+      "num_tokens": 4565684.0,
+      "step": 2505
+    },
+    {
+      "entropy": 5.722462224960327,
+      "epoch": 2.07953603976802,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004796454709542432,
+      "loss": 5.467,
+      "mean_token_accuracy": 0.1590041533112526,
+      "num_tokens": 4575001.0,
+      "step": 2510
+    },
+    {
+      "entropy": 5.797696113586426,
+      "epoch": 2.083678541839271,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004795124486022189,
+      "loss": 5.5732,
+      "mean_token_accuracy": 0.15362634360790253,
+      "num_tokens": 4584128.0,
+      "step": 2515
+    },
+    {
+      "entropy": 5.711380529403686,
+      "epoch": 2.087821043910522,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047937901372623694,
+      "loss": 5.4191,
+      "mean_token_accuracy": 0.16894411891698838,
+      "num_tokens": 4593011.0,
+      "step": 2520
+    },
+    {
+      "entropy": 5.688450145721435,
+      "epoch": 2.091963545981773,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00047924516659545005,
+      "loss": 5.4668,
+      "mean_token_accuracy": 0.16164053976535797,
+      "num_tokens": 4602676.0,
+      "step": 2525
+    },
+    {
+      "entropy": 5.79151463508606,
+      "epoch": 2.096106048053024,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004791109074798425,
+      "loss": 5.5522,
+      "mean_token_accuracy": 0.15433578938245773,
+      "num_tokens": 4611915.0,
+      "step": 2530
+    },
+    {
+      "entropy": 5.748647403717041,
+      "epoch": 2.100248550124275,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004789762366502296,
+      "loss": 5.5184,
+      "mean_token_accuracy": 0.15959300100803375,
+      "num_tokens": 4621396.0,
+      "step": 2535
+    },
+    {
+      "entropy": 5.7374598503112795,
+      "epoch": 2.1043910521955262,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004788411543782571,
+      "loss": 5.5201,
+      "mean_token_accuracy": 0.1591552659869194,
+      "num_tokens": 4630533.0,
+      "step": 2540
+    },
+    {
+      "entropy": 5.678498649597168,
+      "epoch": 2.108533554266777,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004787056609364008,
+      "loss": 5.4599,
+      "mean_token_accuracy": 0.1542729303240776,
+      "num_tokens": 4639023.0,
+      "step": 2545
+    },
+    {
+      "entropy": 5.711474943161011,
+      "epoch": 2.112676056338028,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004785697565979657,
+      "loss": 5.4732,
+      "mean_token_accuracy": 0.15900285094976424,
+      "num_tokens": 4647975.0,
+      "step": 2550
+    },
+    {
+      "entropy": 5.72883243560791,
+      "epoch": 2.116818558409279,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004784334416370857,
+      "loss": 5.498,
+      "mean_token_accuracy": 0.15594277828931807,
+      "num_tokens": 4657555.0,
+      "step": 2555
+    },
+    {
+      "entropy": 5.745093822479248,
+      "epoch": 2.1209610604805302,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004782967163287231,
+      "loss": 5.4193,
+      "mean_token_accuracy": 0.16100153774023057,
+      "num_tokens": 4667228.0,
+      "step": 2560
+    },
+    {
+      "entropy": 5.716836738586426,
+      "epoch": 2.1251035625517813,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047815958094866756,
+      "loss": 5.4957,
+      "mean_token_accuracy": 0.1513967014849186,
+      "num_tokens": 4676723.0,
+      "step": 2565
+    },
+    {
+      "entropy": 5.7276163578033445,
+      "epoch": 2.1292460646230325,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004780220357735363,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.15479894131422042,
+      "num_tokens": 4686241.0,
+      "step": 2570
+    },
+    {
+      "entropy": 5.764811038970947,
+      "epoch": 2.1333885666942836,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047788408108077294,
+      "loss": 5.5404,
+      "mean_token_accuracy": 0.1561874568462372,
+      "num_tokens": 4695195.0,
+      "step": 2575
+    },
+    {
+      "entropy": 5.739376497268677,
+      "epoch": 2.1375310687655342,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004777457171486471,
+      "loss": 5.5871,
+      "mean_token_accuracy": 0.15551834553480148,
+      "num_tokens": 4704716.0,
+      "step": 2580
+    },
+    {
+      "entropy": 5.769967555999756,
+      "epoch": 2.1416735708367853,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004776069442562541,
+      "loss": 5.5562,
+      "mean_token_accuracy": 0.15339450240135194,
+      "num_tokens": 4713720.0,
+      "step": 2585
+    },
+    {
+      "entropy": 5.733342504501342,
+      "epoch": 2.1458160729080364,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004774677626835138,
+      "loss": 5.5366,
+      "mean_token_accuracy": 0.15301723331212996,
+      "num_tokens": 4722428.0,
+      "step": 2590
+    },
+    {
+      "entropy": 5.787648677825928,
+      "epoch": 2.1499585749792876,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00047732817271117084,
+      "loss": 5.5365,
+      "mean_token_accuracy": 0.15334974452853203,
+      "num_tokens": 4732395.0,
+      "step": 2595
+    },
+    {
+      "entropy": 5.773520803451538,
+      "epoch": 2.1541010770505387,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004771881746207934,
+      "loss": 5.5206,
+      "mean_token_accuracy": 0.15674114525318145,
+      "num_tokens": 4741071.0,
+      "step": 2600
+    },
+    {
+      "entropy": 5.607013797760009,
+      "epoch": 2.1582435791217898,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047704776869477285,
+      "loss": 5.5153,
+      "mean_token_accuracy": 0.15076877027750016,
+      "num_tokens": 4749876.0,
+      "step": 2605
+    },
+    {
+      "entropy": 5.784313154220581,
+      "epoch": 2.1623860811930404,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00047690695521632344,
+      "loss": 5.4669,
+      "mean_token_accuracy": 0.16002854704856873,
+      "num_tokens": 4758721.0,
+      "step": 2610
+    },
+    {
+      "entropy": 5.6919313907623295,
+      "epoch": 2.1665285832642915,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047676573446948114,
+      "loss": 5.4832,
+      "mean_token_accuracy": 0.15925751626491547,
+      "num_tokens": 4767162.0,
+      "step": 2615
+    },
+    {
+      "entropy": 5.71550760269165,
+      "epoch": 2.1706710853355426,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047662410673910376,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.1629578560590744,
+      "num_tokens": 4776397.0,
+      "step": 2620
+    },
+    {
+      "entropy": 5.665811157226562,
+      "epoch": 2.1748135874067938,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047648207231087,
+      "loss": 5.4579,
+      "mean_token_accuracy": 0.15894875824451446,
+      "num_tokens": 4784822.0,
+      "step": 2625
+    },
+    {
+      "entropy": 5.71003270149231,
+      "epoch": 2.178956089478045,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004763396314712786,
+      "loss": 5.5297,
+      "mean_token_accuracy": 0.15831661075353623,
+      "num_tokens": 4794272.0,
+      "step": 2630
+    },
+    {
+      "entropy": 5.64026665687561,
+      "epoch": 2.183098591549296,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004761967845076484,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.15510014593601226,
+      "num_tokens": 4804314.0,
+      "step": 2635
+    },
+    {
+      "entropy": 5.6847330093383786,
+      "epoch": 2.1872410936205466,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004760535317081174,
+      "loss": 5.4694,
+      "mean_token_accuracy": 0.15845878273248673,
+      "num_tokens": 4812685.0,
+      "step": 2640
+    },
+    {
+      "entropy": 5.715235567092895,
+      "epoch": 2.1913835956917977,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047590987336164207,
+      "loss": 5.5532,
+      "mean_token_accuracy": 0.1562129870057106,
+      "num_tokens": 4821761.0,
+      "step": 2645
+    },
+    {
+      "entropy": 5.741413831710815,
+      "epoch": 2.195526097763049,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00047576580975799705,
+      "loss": 5.5307,
+      "mean_token_accuracy": 0.1623195379972458,
+      "num_tokens": 4830515.0,
+      "step": 2650
+    },
+    {
+      "entropy": 5.782008934020996,
+      "epoch": 2.1996685998343,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004756213411877743,
+      "loss": 5.5059,
+      "mean_token_accuracy": 0.14879967421293258,
+      "num_tokens": 4840741.0,
+      "step": 2655
+    },
+    {
+      "entropy": 5.612497425079345,
+      "epoch": 2.203811101905551,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047547646794238277,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.16198884546756745,
+      "num_tokens": 4849571.0,
+      "step": 2660
+    },
+    {
+      "entropy": 5.689143991470337,
+      "epoch": 2.207953603976802,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047533119031404757,
+      "loss": 5.4138,
+      "mean_token_accuracy": 0.1696420982480049,
+      "num_tokens": 4857194.0,
+      "step": 2665
+    },
+    {
+      "entropy": 5.632621717453003,
+      "epoch": 2.212096106048053,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00047518550859580966,
+      "loss": 5.5074,
+      "mean_token_accuracy": 0.1592964008450508,
+      "num_tokens": 4865894.0,
+      "step": 2670
+    },
+    {
+      "entropy": 5.74289755821228,
+      "epoch": 2.216238608119304,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004750394230815249,
+      "loss": 5.5268,
+      "mean_token_accuracy": 0.15829544067382811,
+      "num_tokens": 4875131.0,
+      "step": 2675
+    },
+    {
+      "entropy": 5.670539522171021,
+      "epoch": 2.220381110190555,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047489293406586375,
+      "loss": 5.3777,
+      "mean_token_accuracy": 0.1620385766029358,
+      "num_tokens": 4884098.0,
+      "step": 2680
+    },
+    {
+      "entropy": 5.657269620895386,
+      "epoch": 2.224523612261806,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004747460418443106,
+      "loss": 5.4373,
+      "mean_token_accuracy": 0.15941016003489494,
+      "num_tokens": 4892963.0,
+      "step": 2685
+    },
+    {
+      "entropy": 5.690485191345215,
+      "epoch": 2.2286661143330573,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047459874671316305,
+      "loss": 5.4903,
+      "mean_token_accuracy": 0.15749651044607163,
+      "num_tokens": 4902097.0,
+      "step": 2690
+    },
+    {
+      "entropy": 5.608357000350952,
+      "epoch": 2.2328086164043084,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00047445104896953153,
+      "loss": 5.4015,
+      "mean_token_accuracy": 0.16532779037952422,
+      "num_tokens": 4910469.0,
+      "step": 2695
+    },
+    {
+      "entropy": 5.82715744972229,
+      "epoch": 2.236951118475559,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047430294891133846,
+      "loss": 5.6892,
+      "mean_token_accuracy": 0.1501491665840149,
+      "num_tokens": 4921024.0,
+      "step": 2700
+    },
+    {
+      "entropy": 5.749764776229858,
+      "epoch": 2.24109362054681,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004741544468373179,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15474629402160645,
+      "num_tokens": 4930297.0,
+      "step": 2705
+    },
+    {
+      "entropy": 5.687776947021485,
+      "epoch": 2.2452361226180613,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00047400554304701474,
+      "loss": 5.4692,
+      "mean_token_accuracy": 0.16049361675977708,
+      "num_tokens": 4938971.0,
+      "step": 2710
+    },
+    {
+      "entropy": 5.571053695678711,
+      "epoch": 2.2493786246893124,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047385623784078427,
+      "loss": 5.4899,
+      "mean_token_accuracy": 0.15803302526474,
+      "num_tokens": 4948531.0,
+      "step": 2715
+    },
+    {
+      "entropy": 5.787879133224488,
+      "epoch": 2.2535211267605635,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004737065315197913,
+      "loss": 5.5664,
+      "mean_token_accuracy": 0.1587745025753975,
+      "num_tokens": 4957430.0,
+      "step": 2720
+    },
+    {
+      "entropy": 5.720958280563354,
+      "epoch": 2.2576636288318146,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047355642438600987,
+      "loss": 5.5478,
+      "mean_token_accuracy": 0.16044806241989135,
+      "num_tokens": 4966681.0,
+      "step": 2725
+    },
+    {
+      "entropy": 5.638753175735474,
+      "epoch": 2.2618061309030653,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004734059167422225,
+      "loss": 5.4123,
+      "mean_token_accuracy": 0.1639780133962631,
+      "num_tokens": 4975327.0,
+      "step": 2730
+    },
+    {
+      "entropy": 5.634887552261352,
+      "epoch": 2.2659486329743164,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047325500889201956,
+      "loss": 5.4725,
+      "mean_token_accuracy": 0.16207436099648476,
+      "num_tokens": 4983741.0,
+      "step": 2735
+    },
+    {
+      "entropy": 5.673438644409179,
+      "epoch": 2.2700911350455675,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004731037011397986,
+      "loss": 5.5662,
+      "mean_token_accuracy": 0.15884149968624114,
+      "num_tokens": 4993171.0,
+      "step": 2740
+    },
+    {
+      "entropy": 5.752307653427124,
+      "epoch": 2.2742336371168186,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047295199379076403,
+      "loss": 5.6,
+      "mean_token_accuracy": 0.15322241187095642,
+      "num_tokens": 5002810.0,
+      "step": 2745
+    },
+    {
+      "entropy": 5.7073346138000485,
+      "epoch": 2.2783761391880697,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000472799887150926,
+      "loss": 5.4893,
+      "mean_token_accuracy": 0.15741414427757264,
+      "num_tokens": 5011875.0,
+      "step": 2750
+    },
+    {
+      "entropy": 5.679959297180176,
+      "epoch": 2.282518641259321,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004726473815271003,
+      "loss": 5.5349,
+      "mean_token_accuracy": 0.15855301022529603,
+      "num_tokens": 5020780.0,
+      "step": 2755
+    },
+    {
+      "entropy": 5.669374132156372,
+      "epoch": 2.286661143330572,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047249447722690747,
+      "loss": 5.4331,
+      "mean_token_accuracy": 0.16046710908412934,
+      "num_tokens": 5029896.0,
+      "step": 2760
+    },
+    {
+      "entropy": 5.652454280853272,
+      "epoch": 2.2908036454018226,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047234117455877215,
+      "loss": 5.4932,
+      "mean_token_accuracy": 0.1545606277883053,
+      "num_tokens": 5038956.0,
+      "step": 2765
+    },
+    {
+      "entropy": 5.639697694778443,
+      "epoch": 2.2949461474730737,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004721874738319225,
+      "loss": 5.4594,
+      "mean_token_accuracy": 0.17258906960487366,
+      "num_tokens": 5047005.0,
+      "step": 2770
+    },
+    {
+      "entropy": 5.655842065811157,
+      "epoch": 2.299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004720333753563898,
+      "loss": 5.5008,
+      "mean_token_accuracy": 0.15116662830114364,
+      "num_tokens": 5056475.0,
+      "step": 2775
+    },
+    {
+      "entropy": 5.704644584655762,
+      "epoch": 2.303231151615576,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00047187887944300747,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16439782381057738,
+      "num_tokens": 5064978.0,
+      "step": 2780
+    },
+    {
+      "entropy": 5.726413679122925,
+      "epoch": 2.307373653686827,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004717239864034107,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.15506226867437362,
+      "num_tokens": 5074235.0,
+      "step": 2785
+    },
+    {
+      "entropy": 5.662968683242798,
+      "epoch": 2.3115161557580777,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047156869655003554,
+      "loss": 5.4481,
+      "mean_token_accuracy": 0.16141191571950914,
+      "num_tokens": 5082386.0,
+      "step": 2790
+    },
+    {
+      "entropy": 5.631324100494385,
+      "epoch": 2.315658657829329,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047141301019611875,
+      "loss": 5.4164,
+      "mean_token_accuracy": 0.16636510640382768,
+      "num_tokens": 5090634.0,
+      "step": 2795
+    },
+    {
+      "entropy": 5.818879795074463,
+      "epoch": 2.31980115990058,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004712569276556967,
+      "loss": 5.5906,
+      "mean_token_accuracy": 0.14937217235565187,
+      "num_tokens": 5099003.0,
+      "step": 2800
+    },
+    {
+      "entropy": 5.617757177352905,
+      "epoch": 2.323943661971831,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00047110044924360484,
+      "loss": 5.6681,
+      "mean_token_accuracy": 0.1565680392086506,
+      "num_tokens": 5108631.0,
+      "step": 2805
+    },
+    {
+      "entropy": 5.732515859603882,
+      "epoch": 2.328086164043082,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00047094357527547725,
+      "loss": 5.4545,
+      "mean_token_accuracy": 0.15828853249549865,
+      "num_tokens": 5117309.0,
+      "step": 2810
+    },
+    {
+      "entropy": 5.686485624313354,
+      "epoch": 2.332228666114333,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004707863060677459,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.1627561032772064,
+      "num_tokens": 5126305.0,
+      "step": 2815
+    },
+    {
+      "entropy": 5.821760654449463,
+      "epoch": 2.3363711681855843,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00047062864193764,
+      "loss": 5.6022,
+      "mean_token_accuracy": 0.15580221712589265,
+      "num_tokens": 5135338.0,
+      "step": 2820
+    },
+    {
+      "entropy": 5.676449155807495,
+      "epoch": 2.340513670256835,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047047058320318525,
+      "loss": 5.5298,
+      "mean_token_accuracy": 0.16162888556718827,
+      "num_tokens": 5144518.0,
+      "step": 2825
+    },
+    {
+      "entropy": 5.702890157699585,
+      "epoch": 2.344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004703121301832034,
+      "loss": 5.6262,
+      "mean_token_accuracy": 0.15101130157709122,
+      "num_tokens": 5154102.0,
+      "step": 2830
+    },
+    {
+      "entropy": 5.7891247272491455,
+      "epoch": 2.348798674399337,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047015328319731153,
+      "loss": 5.5642,
+      "mean_token_accuracy": 0.15612353384494781,
+      "num_tokens": 5163719.0,
+      "step": 2835
+    },
+    {
+      "entropy": 5.677855682373047,
+      "epoch": 2.3529411764705883,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004699940425659215,
+      "loss": 5.5247,
+      "mean_token_accuracy": 0.15519936084747316,
+      "num_tokens": 5173192.0,
+      "step": 2840
+    },
+    {
+      "entropy": 5.622324132919312,
+      "epoch": 2.3570836785418394,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00046983440861023877,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.1663823500275612,
+      "num_tokens": 5182438.0,
+      "step": 2845
+    },
+    {
+      "entropy": 5.699106454849243,
+      "epoch": 2.36122618061309,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046967438165226275,
+      "loss": 5.6015,
+      "mean_token_accuracy": 0.15352728664875032,
+      "num_tokens": 5191595.0,
+      "step": 2850
+    },
+    {
+      "entropy": 5.659265756607056,
+      "epoch": 2.365368682684341,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004695139620147851,
+      "loss": 5.4682,
+      "mean_token_accuracy": 0.1643056571483612,
+      "num_tokens": 5200174.0,
+      "step": 2855
+    },
+    {
+      "entropy": 5.713242053985596,
+      "epoch": 2.3695111847555923,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046935315002138994,
+      "loss": 5.5804,
+      "mean_token_accuracy": 0.15417435318231582,
+      "num_tokens": 5210454.0,
+      "step": 2860
+    },
+    {
+      "entropy": 5.727554702758789,
+      "epoch": 2.3736536868268434,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004691919459964525,
+      "loss": 5.5019,
+      "mean_token_accuracy": 0.16056040227413176,
+      "num_tokens": 5219243.0,
+      "step": 2865
+    },
+    {
+      "entropy": 5.5862212657928465,
+      "epoch": 2.3777961888980945,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046903035026513894,
+      "loss": 5.4319,
+      "mean_token_accuracy": 0.1613735228776932,
+      "num_tokens": 5228656.0,
+      "step": 2870
+    },
+    {
+      "entropy": 5.587289905548095,
+      "epoch": 2.3819386909693456,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004688683631534056,
+      "loss": 5.4859,
+      "mean_token_accuracy": 0.156366066634655,
+      "num_tokens": 5237807.0,
+      "step": 2875
+    },
+    {
+      "entropy": 5.775411653518677,
+      "epoch": 2.3860811930405967,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004687059849879981,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.1609719067811966,
+      "num_tokens": 5247432.0,
+      "step": 2880
+    },
+    {
+      "entropy": 5.597807741165161,
+      "epoch": 2.3902236951118474,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00046854321609645093,
+      "loss": 5.4145,
+      "mean_token_accuracy": 0.16111126840114592,
+      "num_tokens": 5256680.0,
+      "step": 2885
+    },
+    {
+      "entropy": 5.6380726337432865,
+      "epoch": 2.3943661971830985,
+      "grad_norm": 2.15625,
+      "learning_rate": 0.00046838005680708677,
+      "loss": 5.5296,
+      "mean_token_accuracy": 0.14821895360946655,
+      "num_tokens": 5266793.0,
+      "step": 2890
+    },
+    {
+      "entropy": 5.710390281677246,
+      "epoch": 2.3985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046821650744901573,
+      "loss": 5.4452,
+      "mean_token_accuracy": 0.15857197493314742,
+      "num_tokens": 5275028.0,
+      "step": 2895
+    },
+    {
+      "entropy": 5.598506593704224,
+      "epoch": 2.4026512013256007,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004680525683521347,
+      "loss": 5.5226,
+      "mean_token_accuracy": 0.1566852644085884,
+      "num_tokens": 5284162.0,
+      "step": 2900
+    },
+    {
+      "entropy": 5.757242631912232,
+      "epoch": 2.406793703396852,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004678882398471269,
+      "loss": 5.5911,
+      "mean_token_accuracy": 0.15474308133125306,
+      "num_tokens": 5293263.0,
+      "step": 2905
+    },
+    {
+      "entropy": 5.654598569869995,
+      "epoch": 2.4109362054681025,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046772352226546066,
+      "loss": 5.477,
+      "mean_token_accuracy": 0.1666618600487709,
+      "num_tokens": 5301373.0,
+      "step": 2910
+    },
+    {
+      "entropy": 5.643638467788696,
+      "epoch": 2.4150787075393536,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004675584159393895,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.15203802064061164,
+      "num_tokens": 5311009.0,
+      "step": 2915
+    },
+    {
+      "entropy": 5.699149656295776,
+      "epoch": 2.4192212096106047,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046739292120195083,
+      "loss": 5.5245,
+      "mean_token_accuracy": 0.16085631400346756,
+      "num_tokens": 5320341.0,
+      "step": 2920
+    },
+    {
+      "entropy": 5.642888498306275,
+      "epoch": 2.423363711681856,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004672270383869657,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1610630214214325,
+      "num_tokens": 5329250.0,
+      "step": 2925
+    },
+    {
+      "entropy": 5.62935357093811,
+      "epoch": 2.427506213753107,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004670607678290379,
+      "loss": 5.4471,
+      "mean_token_accuracy": 0.16571807861328125,
+      "num_tokens": 5336515.0,
+      "step": 2930
+    },
+    {
+      "entropy": 5.655415058135986,
+      "epoch": 2.431648715824358,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004668941098635532,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.1595415398478508,
+      "num_tokens": 5346043.0,
+      "step": 2935
+    },
+    {
+      "entropy": 5.642036104202271,
+      "epoch": 2.435791217895609,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00046672706482667897,
+      "loss": 5.4925,
+      "mean_token_accuracy": 0.15832271426916122,
+      "num_tokens": 5355124.0,
+      "step": 2940
+    },
+    {
+      "entropy": 5.647988367080688,
+      "epoch": 2.43993371996686,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004665596330553633,
+      "loss": 5.5051,
+      "mean_token_accuracy": 0.1597411409020424,
+      "num_tokens": 5364556.0,
+      "step": 2945
+    },
+    {
+      "entropy": 5.67459397315979,
+      "epoch": 2.444076222038111,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046639181488733445,
+      "loss": 5.5316,
+      "mean_token_accuracy": 0.15941161364316941,
+      "num_tokens": 5373778.0,
+      "step": 2950
+    },
+    {
+      "entropy": 5.725692987442017,
+      "epoch": 2.448218724109362,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004662236106610999,
+      "loss": 5.5123,
+      "mean_token_accuracy": 0.15816445648670197,
+      "num_tokens": 5382633.0,
+      "step": 2955
+    },
+    {
+      "entropy": 5.5606146335601805,
+      "epoch": 2.452361226180613,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00046605502071594604,
+      "loss": 5.4163,
+      "mean_token_accuracy": 0.16387673169374467,
+      "num_tokens": 5391442.0,
+      "step": 2960
+    },
+    {
+      "entropy": 5.569208765029908,
+      "epoch": 2.4565037282518642,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004658860453919371,
+      "loss": 5.4388,
+      "mean_token_accuracy": 0.1621423229575157,
+      "num_tokens": 5400504.0,
+      "step": 2965
+    },
+    {
+      "entropy": 5.587312078475952,
+      "epoch": 2.460646230323115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004657166850299149,
+      "loss": 5.4448,
+      "mean_token_accuracy": 0.16361159086227417,
+      "num_tokens": 5408939.0,
+      "step": 2970
+    },
+    {
+      "entropy": 5.629118537902832,
+      "epoch": 2.464788732394366,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004655469399714978,
+      "loss": 5.4722,
+      "mean_token_accuracy": 0.1575179159641266,
+      "num_tokens": 5418934.0,
+      "step": 2975
+    },
+    {
+      "entropy": 5.572103595733642,
+      "epoch": 2.468931234465617,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004653768105590799,
+      "loss": 5.4955,
+      "mean_token_accuracy": 0.16008511185646057,
+      "num_tokens": 5427894.0,
+      "step": 2980
+    },
+    {
+      "entropy": 5.683330011367798,
+      "epoch": 2.4730737365368682,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046520629713583115,
+      "loss": 5.5003,
+      "mean_token_accuracy": 0.1613202139735222,
+      "num_tokens": 5436830.0,
+      "step": 2985
+    },
+    {
+      "entropy": 5.597742080688477,
+      "epoch": 2.4772162386081193,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046503540004569555,
+      "loss": 5.4814,
+      "mean_token_accuracy": 0.16423845291137695,
+      "num_tokens": 5445504.0,
+      "step": 2990
+    },
+    {
+      "entropy": 5.679887342453003,
+      "epoch": 2.4813587406793705,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046486411963339125,
+      "loss": 5.5405,
+      "mean_token_accuracy": 0.15501321628689765,
+      "num_tokens": 5455378.0,
+      "step": 2995
+    },
+    {
+      "entropy": 5.712473011016845,
+      "epoch": 2.4855012427506216,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046469245624440955,
+      "loss": 5.6107,
+      "mean_token_accuracy": 0.1589423656463623,
+      "num_tokens": 5465334.0,
+      "step": 3000
+    },
+    {
+      "epoch": 2.4855012427506216,
+      "eval_entropy": 5.590163738234465,
+      "eval_loss": 5.965892314910889,
+      "eval_mean_token_accuracy": 0.14734836894947329,
+      "eval_num_tokens": 5465334.0,
+      "eval_runtime": 2.7526,
+      "eval_samples_per_second": 1361.234,
+      "eval_steps_per_second": 170.381,
+      "step": 3000
+    },
+    {
+      "entropy": 5.751126146316528,
+      "epoch": 2.4896437448218722,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046452041022501423,
+      "loss": 5.5858,
+      "mean_token_accuracy": 0.15555662512779236,
+      "num_tokens": 5475701.0,
+      "step": 3005
+    },
+    {
+      "entropy": 5.699931526184082,
+      "epoch": 2.4937862468931233,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004643479819222411,
+      "loss": 5.4828,
+      "mean_token_accuracy": 0.16229774355888366,
+      "num_tokens": 5485244.0,
+      "step": 3010
+    },
+    {
+      "entropy": 5.596950387954712,
+      "epoch": 2.4979287489643744,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046417517168389664,
+      "loss": 5.4434,
+      "mean_token_accuracy": 0.1682340309023857,
+      "num_tokens": 5493587.0,
+      "step": 3015
+    },
+    {
+      "entropy": 5.6203169345855715,
+      "epoch": 2.5020712510356256,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004640019798585581,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.15738681554794312,
+      "num_tokens": 5503117.0,
+      "step": 3020
+    },
+    {
+      "entropy": 5.762682390213013,
+      "epoch": 2.5062137531068767,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046382840679557233,
+      "loss": 5.5352,
+      "mean_token_accuracy": 0.16024575680494307,
+      "num_tokens": 5512742.0,
+      "step": 3025
+    },
+    {
+      "entropy": 5.647499704360962,
+      "epoch": 2.5103562551781273,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00046365445284505516,
+      "loss": 5.4968,
+      "mean_token_accuracy": 0.16166605204343795,
+      "num_tokens": 5521862.0,
+      "step": 3030
+    },
+    {
+      "entropy": 5.597900772094727,
+      "epoch": 2.5144987572493784,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.0004634801183578907,
+      "loss": 5.488,
+      "mean_token_accuracy": 0.1608501434326172,
+      "num_tokens": 5531244.0,
+      "step": 3035
+    },
+    {
+      "entropy": 5.655751419067383,
+      "epoch": 2.5186412593206295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046330540368573063,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15176820158958435,
+      "num_tokens": 5540786.0,
+      "step": 3040
+    },
+    {
+      "entropy": 5.7291028022766115,
+      "epoch": 2.5227837613918807,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046313030918099365,
+      "loss": 5.5224,
+      "mean_token_accuracy": 0.1602902241051197,
+      "num_tokens": 5549961.0,
+      "step": 3045
+    },
+    {
+      "entropy": 5.620108366012573,
+      "epoch": 2.5269262634631318,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00046295483519686437,
+      "loss": 5.4591,
+      "mean_token_accuracy": 0.16417455673217773,
+      "num_tokens": 5558941.0,
+      "step": 3050
+    },
+    {
+      "entropy": 5.644694232940674,
+      "epoch": 2.531068765534383,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046277898208729306,
+      "loss": 5.4673,
+      "mean_token_accuracy": 0.16716189235448836,
+      "num_tokens": 5567630.0,
+      "step": 3055
+    },
+    {
+      "entropy": 5.586954879760742,
+      "epoch": 2.535211267605634,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004626027502069947,
+      "loss": 5.4301,
+      "mean_token_accuracy": 0.16521373838186265,
+      "num_tokens": 5576430.0,
+      "step": 3060
+    },
+    {
+      "entropy": 5.650178289413452,
+      "epoch": 2.539353769676885,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046242613991144814,
+      "loss": 5.5444,
+      "mean_token_accuracy": 0.1609214127063751,
+      "num_tokens": 5584785.0,
+      "step": 3065
+    },
+    {
+      "entropy": 5.585511493682861,
+      "epoch": 2.5434962717481358,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046224915155689586,
+      "loss": 5.478,
+      "mean_token_accuracy": 0.16044741719961167,
+      "num_tokens": 5594583.0,
+      "step": 3070
+    },
+    {
+      "entropy": 5.638197040557861,
+      "epoch": 2.547638773819387,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046207178550034244,
+      "loss": 5.4306,
+      "mean_token_accuracy": 0.1608849883079529,
+      "num_tokens": 5603498.0,
+      "step": 3075
+    },
+    {
+      "entropy": 5.7161966323852536,
+      "epoch": 2.551781275890638,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004618940420995547,
+      "loss": 5.5685,
+      "mean_token_accuracy": 0.15440558269619942,
+      "num_tokens": 5613101.0,
+      "step": 3080
+    },
+    {
+      "entropy": 5.665849494934082,
+      "epoch": 2.555923777961889,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004617159217130606,
+      "loss": 5.5409,
+      "mean_token_accuracy": 0.1569191187620163,
+      "num_tokens": 5621821.0,
+      "step": 3085
+    },
+    {
+      "entropy": 5.711861181259155,
+      "epoch": 2.5600662800331397,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004615374247001483,
+      "loss": 5.5738,
+      "mean_token_accuracy": 0.15701586306095122,
+      "num_tokens": 5631006.0,
+      "step": 3090
+    },
+    {
+      "entropy": 5.674423551559448,
+      "epoch": 2.564208782104391,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004613585514208659,
+      "loss": 5.5295,
+      "mean_token_accuracy": 0.15232180580496787,
+      "num_tokens": 5640159.0,
+      "step": 3095
+    },
+    {
+      "entropy": 5.592060613632202,
+      "epoch": 2.568351284175642,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046117930223602016,
+      "loss": 5.4003,
+      "mean_token_accuracy": 0.1694741129875183,
+      "num_tokens": 5648369.0,
+      "step": 3100
+    },
+    {
+      "entropy": 5.5982965469360355,
+      "epoch": 2.572493786246893,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004609996775071765,
+      "loss": 5.459,
+      "mean_token_accuracy": 0.1591326355934143,
+      "num_tokens": 5657669.0,
+      "step": 3105
+    },
+    {
+      "entropy": 5.56780686378479,
+      "epoch": 2.576636288318144,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004608196775966575,
+      "loss": 5.5319,
+      "mean_token_accuracy": 0.1610974356532097,
+      "num_tokens": 5666601.0,
+      "step": 3110
+    },
+    {
+      "entropy": 5.639773225784301,
+      "epoch": 2.5807787903893953,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046063930286754267,
+      "loss": 5.4465,
+      "mean_token_accuracy": 0.16618527621030807,
+      "num_tokens": 5675243.0,
+      "step": 3115
+    },
+    {
+      "entropy": 5.56855001449585,
+      "epoch": 2.5849212924606464,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00046045855368366756,
+      "loss": 5.466,
+      "mean_token_accuracy": 0.1630399063229561,
+      "num_tokens": 5683646.0,
+      "step": 3120
+    },
+    {
+      "entropy": 5.682586193084717,
+      "epoch": 2.5890637945318975,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.000460277430409623,
+      "loss": 5.5129,
+      "mean_token_accuracy": 0.17162407487630843,
+      "num_tokens": 5693069.0,
+      "step": 3125
+    },
+    {
+      "entropy": 5.587219524383545,
+      "epoch": 2.593206296603148,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046009593341075444,
+      "loss": 5.3754,
+      "mean_token_accuracy": 0.16499391198158264,
+      "num_tokens": 5701527.0,
+      "step": 3130
+    },
+    {
+      "entropy": 5.561956834793091,
+      "epoch": 2.5973487986743993,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004599140630531612,
+      "loss": 5.5403,
+      "mean_token_accuracy": 0.15682477951049806,
+      "num_tokens": 5710379.0,
+      "step": 3135
+    },
+    {
+      "entropy": 5.69692587852478,
+      "epoch": 2.6014913007456504,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004597318197036956,
+      "loss": 5.4524,
+      "mean_token_accuracy": 0.1643553927540779,
+      "num_tokens": 5719217.0,
+      "step": 3140
+    },
+    {
+      "entropy": 5.629226970672607,
+      "epoch": 2.6056338028169015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004595492037299624,
+      "loss": 5.5535,
+      "mean_token_accuracy": 0.16214104294776915,
+      "num_tokens": 5728331.0,
+      "step": 3145
+    },
+    {
+      "entropy": 5.608061027526856,
+      "epoch": 2.6097763048881526,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045936621550031806,
+      "loss": 5.5107,
+      "mean_token_accuracy": 0.16073764860630035,
+      "num_tokens": 5737696.0,
+      "step": 3150
+    },
+    {
+      "entropy": 5.731885099411011,
+      "epoch": 2.6139188069594033,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045918285538386973,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.16164542436599733,
+      "num_tokens": 5746191.0,
+      "step": 3155
+    },
+    {
+      "entropy": 5.703127813339234,
+      "epoch": 2.6180613090306544,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00045899912375047485,
+      "loss": 5.5619,
+      "mean_token_accuracy": 0.1629435494542122,
+      "num_tokens": 5754824.0,
+      "step": 3160
+    },
+    {
+      "entropy": 5.638229656219482,
+      "epoch": 2.6222038111019055,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045881502097074023,
+      "loss": 5.537,
+      "mean_token_accuracy": 0.1518124133348465,
+      "num_tokens": 5764863.0,
+      "step": 3165
+    },
+    {
+      "entropy": 5.614318180084228,
+      "epoch": 2.6263463131731566,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004586305474160212,
+      "loss": 5.5459,
+      "mean_token_accuracy": 0.15642993301153182,
+      "num_tokens": 5774273.0,
+      "step": 3170
+    },
+    {
+      "entropy": 5.666326427459717,
+      "epoch": 2.6304888152444077,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045844570345842116,
+      "loss": 5.5044,
+      "mean_token_accuracy": 0.16042826995253562,
+      "num_tokens": 5784085.0,
+      "step": 3175
+    },
+    {
+      "entropy": 5.659371709823608,
+      "epoch": 2.634631317315659,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004582604894707906,
+      "loss": 5.5336,
+      "mean_token_accuracy": 0.16884370446205138,
+      "num_tokens": 5793921.0,
+      "step": 3180
+    },
+    {
+      "entropy": 5.664378356933594,
+      "epoch": 2.63877381938691,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00045807490582672634,
+      "loss": 5.4972,
+      "mean_token_accuracy": 0.15294444859027861,
+      "num_tokens": 5803902.0,
+      "step": 3185
+    },
+    {
+      "entropy": 5.542481708526611,
+      "epoch": 2.6429163214581606,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00045788895290057083,
+      "loss": 5.4129,
+      "mean_token_accuracy": 0.16788192689418793,
+      "num_tokens": 5812089.0,
+      "step": 3190
+    },
+    {
+      "entropy": 5.6802209377288815,
+      "epoch": 2.6470588235294117,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00045770263106741137,
+      "loss": 5.5784,
+      "mean_token_accuracy": 0.1578851893544197,
+      "num_tokens": 5821072.0,
+      "step": 3195
+    },
+    {
+      "entropy": 5.628516340255738,
+      "epoch": 2.651201325600663,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004575159407030797,
+      "loss": 5.4029,
+      "mean_token_accuracy": 0.16388181746006011,
+      "num_tokens": 5829725.0,
+      "step": 3200
+    },
+    {
+      "entropy": 5.500157403945923,
+      "epoch": 2.655343827671914,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004573288821841505,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16496249735355378,
+      "num_tokens": 5838153.0,
+      "step": 3205
+    },
+    {
+      "entropy": 5.616616106033325,
+      "epoch": 2.659486329743165,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004571414558879413,
+      "loss": 5.4409,
+      "mean_token_accuracy": 0.15448423773050307,
+      "num_tokens": 5847270.0,
+      "step": 3210
+    },
+    {
+      "entropy": 5.6490891456604,
+      "epoch": 2.6636288318144157,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004569536621925114,
+      "loss": 5.5472,
+      "mean_token_accuracy": 0.15474478006362916,
+      "num_tokens": 5855954.0,
+      "step": 3215
+    },
+    {
+      "entropy": 5.634416961669922,
+      "epoch": 2.667771333885667,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004567655014766612,
+      "loss": 5.4529,
+      "mean_token_accuracy": 0.16163208782672883,
+      "num_tokens": 5864435.0,
+      "step": 3220
+    },
+    {
+      "entropy": 5.624909925460815,
+      "epoch": 2.671913835956918,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004565769741199314,
+      "loss": 5.5135,
+      "mean_token_accuracy": 0.1572384186089039,
+      "num_tokens": 5873964.0,
+      "step": 3225
+    },
+    {
+      "entropy": 5.727962255477905,
+      "epoch": 2.676056338028169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045638808050260237,
+      "loss": 5.4648,
+      "mean_token_accuracy": 0.16628578454256057,
+      "num_tokens": 5882738.0,
+      "step": 3230
+    },
+    {
+      "entropy": 5.587652635574341,
+      "epoch": 2.68019884009942,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00045619882100569317,
+      "loss": 5.5925,
+      "mean_token_accuracy": 0.15854242593050002,
+      "num_tokens": 5891749.0,
+      "step": 3235
+    },
+    {
+      "entropy": 5.627515649795532,
+      "epoch": 2.684341342170671,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004560091960109608,
+      "loss": 5.5372,
+      "mean_token_accuracy": 0.15811603218317033,
+      "num_tokens": 5900551.0,
+      "step": 3240
+    },
+    {
+      "entropy": 5.661735343933105,
+      "epoch": 2.6884838442419223,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004558192059008996,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.1517203629016876,
+      "num_tokens": 5909254.0,
+      "step": 3245
+    },
+    {
+      "entropy": 5.599635648727417,
+      "epoch": 2.692626346313173,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004556288510587406,
+      "loss": 5.4987,
+      "mean_token_accuracy": 0.15817683488130568,
+      "num_tokens": 5918357.0,
+      "step": 3250
+    },
+    {
+      "entropy": 5.662895679473877,
+      "epoch": 2.696768848384424,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00045543813186845004,
+      "loss": 5.5021,
+      "mean_token_accuracy": 0.15579704195261002,
+      "num_tokens": 5927742.0,
+      "step": 3255
+    },
+    {
+      "entropy": 5.627440690994263,
+      "epoch": 2.700911350455675,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004552470487147294,
+      "loss": 5.5823,
+      "mean_token_accuracy": 0.1556493915617466,
+      "num_tokens": 5937025.0,
+      "step": 3260
+    },
+    {
+      "entropy": 5.70678014755249,
+      "epoch": 2.7050538525269263,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045505560198301443,
+      "loss": 5.5615,
+      "mean_token_accuracy": 0.15135139375925064,
+      "num_tokens": 5946176.0,
+      "step": 3265
+    },
+    {
+      "entropy": 5.659924745559692,
+      "epoch": 2.7091963545981774,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045486379205947396,
+      "loss": 5.5233,
+      "mean_token_accuracy": 0.1584411159157753,
+      "num_tokens": 5955550.0,
+      "step": 3270
+    },
+    {
+      "entropy": 5.594695281982422,
+      "epoch": 2.713338856669428,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004546716193310098,
+      "loss": 5.4541,
+      "mean_token_accuracy": 0.1651945412158966,
+      "num_tokens": 5964467.0,
+      "step": 3275
+    },
+    {
+      "entropy": 5.605531787872314,
+      "epoch": 2.717481358740679,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000454479084185255,
+      "loss": 5.4855,
+      "mean_token_accuracy": 0.1514287754893303,
+      "num_tokens": 5973906.0,
+      "step": 3280
+    },
+    {
+      "entropy": 5.696796035766601,
+      "epoch": 2.7216238608119303,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004542861870105743,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.15694239139556884,
+      "num_tokens": 5983701.0,
+      "step": 3285
+    },
+    {
+      "entropy": 5.623150444030761,
+      "epoch": 2.7257663628831814,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045409292819606224,
+      "loss": 5.4971,
+      "mean_token_accuracy": 0.16068210303783417,
+      "num_tokens": 5993367.0,
+      "step": 3290
+    },
+    {
+      "entropy": 5.646857404708863,
+      "epoch": 2.7299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045389930813154297,
+      "loss": 5.4519,
+      "mean_token_accuracy": 0.16334805637598038,
+      "num_tokens": 6003752.0,
+      "step": 3295
+    },
+    {
+      "entropy": 5.675233459472656,
+      "epoch": 2.7340513670256836,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004537053272075693,
+      "loss": 5.5263,
+      "mean_token_accuracy": 0.1621565416455269,
+      "num_tokens": 6012486.0,
+      "step": 3300
+    },
+    {
+      "entropy": 5.5136041164398195,
+      "epoch": 2.7381938690969347,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045351098581542204,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.163838130235672,
+      "num_tokens": 6020742.0,
+      "step": 3305
+    },
+    {
+      "entropy": 5.646917295455933,
+      "epoch": 2.742336371168186,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004533162843471089,
+      "loss": 5.5009,
+      "mean_token_accuracy": 0.15474170595407485,
+      "num_tokens": 6030248.0,
+      "step": 3310
+    },
+    {
+      "entropy": 5.632185411453247,
+      "epoch": 2.7464788732394365,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004531212231953641,
+      "loss": 5.5436,
+      "mean_token_accuracy": 0.15157791674137117,
+      "num_tokens": 6039293.0,
+      "step": 3315
+    },
+    {
+      "entropy": 5.587828540802002,
+      "epoch": 2.7506213753106876,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004529258027536473,
+      "loss": 5.4134,
+      "mean_token_accuracy": 0.16378402560949326,
+      "num_tokens": 6048081.0,
+      "step": 3320
+    },
+    {
+      "entropy": 5.673684549331665,
+      "epoch": 2.7547638773819387,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004527300234161428,
+      "loss": 5.5753,
+      "mean_token_accuracy": 0.15969255268573762,
+      "num_tokens": 6057549.0,
+      "step": 3325
+    },
+    {
+      "entropy": 5.646554040908813,
+      "epoch": 2.75890637945319,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004525338855777591,
+      "loss": 5.5589,
+      "mean_token_accuracy": 0.15469738617539405,
+      "num_tokens": 6067372.0,
+      "step": 3330
+    },
+    {
+      "entropy": 5.595069122314453,
+      "epoch": 2.7630488815244405,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045233738963412746,
+      "loss": 5.4181,
+      "mean_token_accuracy": 0.1717814713716507,
+      "num_tokens": 6075532.0,
+      "step": 3335
+    },
+    {
+      "entropy": 5.5924467086792,
+      "epoch": 2.7671913835956916,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045214053598160173,
+      "loss": 5.4439,
+      "mean_token_accuracy": 0.16404369622468948,
+      "num_tokens": 6084389.0,
+      "step": 3340
+    },
+    {
+      "entropy": 5.598109579086303,
+      "epoch": 2.7713338856669427,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045194332501725725,
+      "loss": 5.4706,
+      "mean_token_accuracy": 0.16428767740726472,
+      "num_tokens": 6093536.0,
+      "step": 3345
+    },
+    {
+      "entropy": 5.637304496765137,
+      "epoch": 2.775476387738194,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00045174575713889014,
+      "loss": 5.5167,
+      "mean_token_accuracy": 0.16573925465345382,
+      "num_tokens": 6102677.0,
+      "step": 3350
+    },
+    {
+      "entropy": 5.677533674240112,
+      "epoch": 2.779618889809445,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004515478327450164,
+      "loss": 5.5926,
+      "mean_token_accuracy": 0.156404609978199,
+      "num_tokens": 6112430.0,
+      "step": 3355
+    },
+    {
+      "entropy": 5.643227863311767,
+      "epoch": 2.783761391880696,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00045134955223487093,
+      "loss": 5.4889,
+      "mean_token_accuracy": 0.16630716919898986,
+      "num_tokens": 6121408.0,
+      "step": 3360
+    },
+    {
+      "entropy": 5.57972674369812,
+      "epoch": 2.787903893951947,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00045115091600840757,
+      "loss": 5.5188,
+      "mean_token_accuracy": 0.15800442099571227,
+      "num_tokens": 6131339.0,
+      "step": 3365
+    },
+    {
+      "entropy": 5.624274778366089,
+      "epoch": 2.7920463960231983,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00045095192446629697,
+      "loss": 5.4816,
+      "mean_token_accuracy": 0.16174803227186202,
+      "num_tokens": 6140590.0,
+      "step": 3370
+    },
+    {
+      "entropy": 5.704814815521241,
+      "epoch": 2.796188898094449,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000450752578009927,
+      "loss": 5.5621,
+      "mean_token_accuracy": 0.1653067871928215,
+      "num_tokens": 6149958.0,
+      "step": 3375
+    },
+    {
+      "entropy": 5.58657054901123,
+      "epoch": 2.8003314001657,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045055287704140115,
+      "loss": 5.4346,
+      "mean_token_accuracy": 0.15949429720640182,
+      "num_tokens": 6159411.0,
+      "step": 3380
+    },
+    {
+      "entropy": 5.595387983322143,
+      "epoch": 2.804473902236951,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004503528219635381,
+      "loss": 5.5138,
+      "mean_token_accuracy": 0.1545591250061989,
+      "num_tokens": 6169264.0,
+      "step": 3385
+    },
+    {
+      "entropy": 5.617677021026611,
+      "epoch": 2.8086164043082023,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004501524131798709,
+      "loss": 5.4826,
+      "mean_token_accuracy": 0.16332829892635345,
+      "num_tokens": 6178374.0,
+      "step": 3390
+    },
+    {
+      "entropy": 5.7183191776275635,
+      "epoch": 2.812758906379453,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000449951651094646,
+      "loss": 5.4697,
+      "mean_token_accuracy": 0.15537519603967667,
+      "num_tokens": 6186918.0,
+      "step": 3395
+    },
+    {
+      "entropy": 5.566522169113159,
+      "epoch": 2.816901408450704,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044975053611282217,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.1613329365849495,
+      "num_tokens": 6196400.0,
+      "step": 3400
+    },
+    {
+      "entropy": 5.514105558395386,
+      "epoch": 2.821043910521955,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004495490686400706,
+      "loss": 5.3941,
+      "mean_token_accuracy": 0.1649619847536087,
+      "num_tokens": 6204849.0,
+      "step": 3405
+    },
+    {
+      "entropy": 5.615210485458374,
+      "epoch": 2.8251864125932062,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00044934724908277313,
+      "loss": 5.4834,
+      "mean_token_accuracy": 0.16362717300653457,
+      "num_tokens": 6214121.0,
+      "step": 3410
+    },
+    {
+      "entropy": 5.654720067977905,
+      "epoch": 2.8293289146644574,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044914507784802184,
+      "loss": 5.4835,
+      "mean_token_accuracy": 0.16509974151849746,
+      "num_tokens": 6223163.0,
+      "step": 3415
+    },
+    {
+      "entropy": 5.641624307632446,
+      "epoch": 2.8334714167357085,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004489425553436182,
+      "loss": 5.5084,
+      "mean_token_accuracy": 0.15882937759160995,
+      "num_tokens": 6231581.0,
+      "step": 3420
+    },
+    {
+      "entropy": 5.659383153915405,
+      "epoch": 2.8376139188069596,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00044873968197807213,
+      "loss": 5.5838,
+      "mean_token_accuracy": 0.1599879801273346,
+      "num_tokens": 6240015.0,
+      "step": 3425
+    },
+    {
+      "entropy": 5.666435050964355,
+      "epoch": 2.8417564208782107,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044853645816060156,
+      "loss": 5.5979,
+      "mean_token_accuracy": 0.1532062940299511,
+      "num_tokens": 6249083.0,
+      "step": 3430
+    },
+    {
+      "entropy": 5.6627098560333256,
+      "epoch": 2.8458989229494613,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00044833288430113104,
+      "loss": 5.5496,
+      "mean_token_accuracy": 0.1654196172952652,
+      "num_tokens": 6258798.0,
+      "step": 3435
+    },
+    {
+      "entropy": 5.609176588058472,
+      "epoch": 2.8500414250207124,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00044812896081029136,
+      "loss": 5.4023,
+      "mean_token_accuracy": 0.16617698073387147,
+      "num_tokens": 6267819.0,
+      "step": 3440
+    },
+    {
+      "entropy": 5.626215600967408,
+      "epoch": 2.8541839270919636,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004479246880994183,
+      "loss": 5.4804,
+      "mean_token_accuracy": 0.15876610353589057,
+      "num_tokens": 6276915.0,
+      "step": 3445
+    },
+    {
+      "entropy": 5.627827167510986,
+      "epoch": 2.8583264291632147,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004477200665805525,
+      "loss": 5.5216,
+      "mean_token_accuracy": 0.15861138105392455,
+      "num_tokens": 6285880.0,
+      "step": 3450
+    },
+    {
+      "entropy": 5.6323963642120365,
+      "epoch": 2.8624689312344658,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00044751509666643777,
+      "loss": 5.6351,
+      "mean_token_accuracy": 0.14970673844218255,
+      "num_tokens": 6295408.0,
+      "step": 3455
+    },
+    {
+      "entropy": 5.6166990280151365,
+      "epoch": 2.8666114333057164,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044730977877052084,
+      "loss": 5.3753,
+      "mean_token_accuracy": 0.16562075018882752,
+      "num_tokens": 6304110.0,
+      "step": 3460
+    },
+    {
+      "entropy": 5.669659185409546,
+      "epoch": 2.8707539353769675,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00044710411330695045,
+      "loss": 5.5254,
+      "mean_token_accuracy": 0.15842530727386475,
+      "num_tokens": 6312577.0,
+      "step": 3465
+    },
+    {
+      "entropy": 5.738371801376343,
+      "epoch": 2.8748964374482187,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00044689810069057615,
+      "loss": 5.606,
+      "mean_token_accuracy": 0.15023296922445298,
+      "num_tokens": 6321766.0,
+      "step": 3470
+    },
+    {
+      "entropy": 5.642851161956787,
+      "epoch": 2.8790389395194698,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004466917413369479,
+      "loss": 5.5731,
+      "mean_token_accuracy": 0.151870658993721,
+      "num_tokens": 6330327.0,
+      "step": 3475
+    },
+    {
+      "entropy": 5.577242517471314,
+      "epoch": 2.883181441590721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004464850356623152,
+      "loss": 5.4926,
+      "mean_token_accuracy": 0.16011006087064744,
+      "num_tokens": 6339596.0,
+      "step": 3480
+    },
+    {
+      "entropy": 5.613158226013184,
+      "epoch": 2.887323943661972,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00044627798408362597,
+      "loss": 5.3986,
+      "mean_token_accuracy": 0.1670537531375885,
+      "num_tokens": 6348080.0,
+      "step": 3485
+    },
+    {
+      "entropy": 5.613135099411011,
+      "epoch": 2.891466445733223,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004460705870185258,
+      "loss": 5.5277,
+      "mean_token_accuracy": 0.15435466170310974,
+      "num_tokens": 6357725.0,
+      "step": 3490
+    },
+    {
+      "entropy": 5.627930736541748,
+      "epoch": 2.8956089478044738,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004458628448853572,
+      "loss": 5.4831,
+      "mean_token_accuracy": 0.16073092967271804,
+      "num_tokens": 6366821.0,
+      "step": 3495
+    },
+    {
+      "entropy": 5.729347085952758,
+      "epoch": 2.899751449875725,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004456547581031589,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.15560299083590506,
+      "num_tokens": 6375641.0,
+      "step": 3500
+    },
+    {
+      "epoch": 2.899751449875725,
+      "eval_entropy": 5.414937326394673,
+      "eval_loss": 5.899942874908447,
+      "eval_mean_token_accuracy": 0.15183768343569629,
+      "eval_num_tokens": 6375641.0,
+      "eval_runtime": 2.9583,
+      "eval_samples_per_second": 1266.605,
+      "eval_steps_per_second": 158.537,
+      "step": 3500
+    },
+    {
+      "entropy": 5.548971128463745,
+      "epoch": 2.903893951946976,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004454463270916646,
+      "loss": 5.404,
+      "mean_token_accuracy": 0.1680065542459488,
+      "num_tokens": 6384596.0,
+      "step": 3505
+    },
+    {
+      "entropy": 5.719941425323486,
+      "epoch": 2.908036454018227,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004452375522713023,
+      "loss": 5.7474,
+      "mean_token_accuracy": 0.14030246064066887,
+      "num_tokens": 6395048.0,
+      "step": 3510
+    },
+    {
+      "entropy": 5.643452119827271,
+      "epoch": 2.912178956089478,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004450284340631938,
+      "loss": 5.5762,
+      "mean_token_accuracy": 0.15520212948322296,
+      "num_tokens": 6404828.0,
+      "step": 3515
+    },
+    {
+      "entropy": 5.627139854431152,
+      "epoch": 2.916321458160729,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044481897288915334,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.16042221039533616,
+      "num_tokens": 6414670.0,
+      "step": 3520
+    },
+    {
+      "entropy": 5.474701166152954,
+      "epoch": 2.92046396023198,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044460916917168697,
+      "loss": 5.3896,
+      "mean_token_accuracy": 0.16453512459993364,
+      "num_tokens": 6423446.0,
+      "step": 3525
+    },
+    {
+      "entropy": 5.5396312236785885,
+      "epoch": 2.924606462303231,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004443990233339918,
+      "loss": 5.4655,
+      "mean_token_accuracy": 0.1552535504102707,
+      "num_tokens": 6433412.0,
+      "step": 3530
+    },
+    {
+      "entropy": 5.652051544189453,
+      "epoch": 2.928748964374482,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004441885357999548,
+      "loss": 5.444,
+      "mean_token_accuracy": 0.1643453508615494,
+      "num_tokens": 6443520.0,
+      "step": 3535
+    },
+    {
+      "entropy": 5.674185514450073,
+      "epoch": 2.9328914664457333,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004439777069941524,
+      "loss": 5.5527,
+      "mean_token_accuracy": 0.15431721061468123,
+      "num_tokens": 6452933.0,
+      "step": 3540
+    },
+    {
+      "entropy": 5.550513553619385,
+      "epoch": 2.9370339685169844,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044376653734184935,
+      "loss": 5.3908,
+      "mean_token_accuracy": 0.16788479536771775,
+      "num_tokens": 6462113.0,
+      "step": 3545
+    },
+    {
+      "entropy": 5.468146800994873,
+      "epoch": 2.9411764705882355,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004435550272689979,
+      "loss": 5.4246,
+      "mean_token_accuracy": 0.16583772748708725,
+      "num_tokens": 6471411.0,
+      "step": 3550
+    },
+    {
+      "entropy": 5.662385082244873,
+      "epoch": 2.945318972659486,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00044334317720223706,
+      "loss": 5.532,
+      "mean_token_accuracy": 0.1599032275378704,
+      "num_tokens": 6480682.0,
+      "step": 3555
+    },
+    {
+      "entropy": 5.678339672088623,
+      "epoch": 2.9494614747307373,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00044313098756889154,
+      "loss": 5.5754,
+      "mean_token_accuracy": 0.15587076246738435,
+      "num_tokens": 6490614.0,
+      "step": 3560
+    },
+    {
+      "entropy": 5.585533094406128,
+      "epoch": 2.9536039768019884,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004429184587969708,
+      "loss": 5.4273,
+      "mean_token_accuracy": 0.16405707746744155,
+      "num_tokens": 6499079.0,
+      "step": 3565
+    },
+    {
+      "entropy": 5.668995666503906,
+      "epoch": 2.9577464788732395,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004427055913151689,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.14727827310562133,
+      "num_tokens": 6508556.0,
+      "step": 3570
+    },
+    {
+      "entropy": 5.70610499382019,
+      "epoch": 2.9618889809444906,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004424923855528626,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.15901169627904893,
+      "num_tokens": 6517934.0,
+      "step": 3575
+    },
+    {
+      "entropy": 5.614701509475708,
+      "epoch": 2.9660314830157413,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004422788419401114,
+      "loss": 5.4321,
+      "mean_token_accuracy": 0.1702651560306549,
+      "num_tokens": 6526995.0,
+      "step": 3580
+    },
+    {
+      "entropy": 5.572284936904907,
+      "epoch": 2.9701739850869924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00044206496090765595,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1573972523212433,
+      "num_tokens": 6535264.0,
+      "step": 3585
+    },
+    {
+      "entropy": 5.610080623626709,
+      "epoch": 2.9743164871582435,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00044185074288691776,
+      "loss": 5.3994,
+      "mean_token_accuracy": 0.1746336281299591,
+      "num_tokens": 6544498.0,
+      "step": 3590
+    },
+    {
+      "entropy": 5.582769393920898,
+      "epoch": 2.9784589892294946,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044163618830999794,
+      "loss": 5.5098,
+      "mean_token_accuracy": 0.16030704230070114,
+      "num_tokens": 6554761.0,
+      "step": 3595
+    },
+    {
+      "entropy": 5.603819417953491,
+      "epoch": 2.9826014913007457,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044142129760967643,
+      "loss": 5.5614,
+      "mean_token_accuracy": 0.15714355707168579,
+      "num_tokens": 6564039.0,
+      "step": 3600
+    },
+    {
+      "entropy": 5.679829835891724,
+      "epoch": 2.986743993371997,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004412060712194115,
+      "loss": 5.5068,
+      "mean_token_accuracy": 0.15993095487356185,
+      "num_tokens": 6572559.0,
+      "step": 3605
+    },
+    {
+      "entropy": 5.589264869689941,
+      "epoch": 2.990886495443248,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004409905095733381,
+      "loss": 5.4931,
+      "mean_token_accuracy": 0.1612076446413994,
+      "num_tokens": 6581621.0,
+      "step": 3610
+    },
+    {
+      "entropy": 5.550649166107178,
+      "epoch": 2.995028997514499,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00044077461310626764,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.15403861105442046,
+      "num_tokens": 6590353.0,
+      "step": 3615
+    },
+    {
+      "entropy": 5.64892258644104,
+      "epoch": 2.9991714995857497,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000440558382253687,
+      "loss": 5.4575,
+      "mean_token_accuracy": 0.16497674435377122,
+      "num_tokens": 6598822.0,
+      "step": 3620
+    },
+    {
+      "entropy": 5.5967165470123295,
+      "epoch": 3.003314001657001,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004403418174517573,
+      "loss": 5.2529,
+      "mean_token_accuracy": 0.16683556884527206,
+      "num_tokens": 6606728.0,
+      "step": 3625
+    },
+    {
+      "entropy": 5.599476623535156,
+      "epoch": 3.007456503728252,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044012491913731353,
+      "loss": 5.1756,
+      "mean_token_accuracy": 0.1743481546640396,
+      "num_tokens": 6616226.0,
+      "step": 3630
+    },
+    {
+      "entropy": 5.5095573425292965,
+      "epoch": 3.011599005799503,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004399076877478632,
+      "loss": 5.0266,
+      "mean_token_accuracy": 0.1868550017476082,
+      "num_tokens": 6624801.0,
+      "step": 3635
+    },
+    {
+      "entropy": 5.60879430770874,
+      "epoch": 3.015741507870754,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004396901237215858,
+      "loss": 5.2209,
+      "mean_token_accuracy": 0.16688485741615294,
+      "num_tokens": 6633043.0,
+      "step": 3640
+    },
+    {
+      "entropy": 5.538025426864624,
+      "epoch": 3.019884009942005,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043947222749733173,
+      "loss": 5.1692,
+      "mean_token_accuracy": 0.17499702274799347,
+      "num_tokens": 6641197.0,
+      "step": 3645
+    },
+    {
+      "entropy": 5.586767101287842,
+      "epoch": 3.024026512013256,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043925399951462153,
+      "loss": 5.2064,
+      "mean_token_accuracy": 0.1801098555326462,
+      "num_tokens": 6650411.0,
+      "step": 3650
+    },
+    {
+      "entropy": 5.4191618919372555,
+      "epoch": 3.028169014084507,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004390354402136449,
+      "loss": 5.0903,
+      "mean_token_accuracy": 0.17804521024227143,
+      "num_tokens": 6659405.0,
+      "step": 3655
+    },
+    {
+      "entropy": 5.583788824081421,
+      "epoch": 3.032311516155758,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0004388165500352597,
+      "loss": 5.1642,
+      "mean_token_accuracy": 0.17557908743619918,
+      "num_tokens": 6667701.0,
+      "step": 3660
+    },
+    {
+      "entropy": 5.614604902267456,
+      "epoch": 3.036454018227009,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004385973294209915,
+      "loss": 5.1881,
+      "mean_token_accuracy": 0.17808027267456056,
+      "num_tokens": 6676801.0,
+      "step": 3665
+    },
+    {
+      "entropy": 5.457578706741333,
+      "epoch": 3.0405965202982603,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004383777788130321,
+      "loss": 5.083,
+      "mean_token_accuracy": 0.17836775481700898,
+      "num_tokens": 6686005.0,
+      "step": 3670
+    },
+    {
+      "entropy": 5.479088068008423,
+      "epoch": 3.044739022369511,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004381578986542393,
+      "loss": 5.0937,
+      "mean_token_accuracy": 0.17960153371095658,
+      "num_tokens": 6694884.0,
+      "step": 3675
+    },
+    {
+      "entropy": 5.501745700836182,
+      "epoch": 3.048881524440762,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004379376893881352,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.17827630788087845,
+      "num_tokens": 6703476.0,
+      "step": 3680
+    },
+    {
+      "entropy": 5.616245269775391,
+      "epoch": 3.053024026512013,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004377171514589059,
+      "loss": 5.2531,
+      "mean_token_accuracy": 0.1736731931567192,
+      "num_tokens": 6712576.0,
+      "step": 3685
+    },
+    {
+      "entropy": 5.398316955566406,
+      "epoch": 3.0571665285832643,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004374962853114007,
+      "loss": 5.0545,
+      "mean_token_accuracy": 0.18062082678079605,
+      "num_tokens": 6721532.0,
+      "step": 3690
+    },
+    {
+      "entropy": 5.480774354934693,
+      "epoch": 3.0613090306545154,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004372750913911306,
+      "loss": 5.1028,
+      "mean_token_accuracy": 0.18300070911645888,
+      "num_tokens": 6730055.0,
+      "step": 3695
+    },
+    {
+      "entropy": 5.446919918060303,
+      "epoch": 3.0654515327257665,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004370535701442679,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.17969694286584853,
+      "num_tokens": 6739310.0,
+      "step": 3700
+    },
+    {
+      "entropy": 5.54828953742981,
+      "epoch": 3.069594034797017,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043683172201764537,
+      "loss": 5.2581,
+      "mean_token_accuracy": 0.16716694980859756,
+      "num_tokens": 6748976.0,
+      "step": 3705
+    },
+    {
+      "entropy": 5.539231872558593,
+      "epoch": 3.0737365368682683,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004366095474587547,
+      "loss": 5.1044,
+      "mean_token_accuracy": 0.17598106861114501,
+      "num_tokens": 6758043.0,
+      "step": 3710
+    },
+    {
+      "entropy": 5.500854778289795,
+      "epoch": 3.0778790389395194,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00043638704691574646,
+      "loss": 5.163,
+      "mean_token_accuracy": 0.1786232903599739,
+      "num_tokens": 6767554.0,
+      "step": 3715
+    },
+    {
+      "entropy": 5.560473966598511,
+      "epoch": 3.0820215410107705,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004361642208374283,
+      "loss": 5.1882,
+      "mean_token_accuracy": 0.1666739672422409,
+      "num_tokens": 6776161.0,
+      "step": 3720
+    },
+    {
+      "entropy": 5.476630401611328,
+      "epoch": 3.0861640430820216,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043594106967326495,
+      "loss": 5.1169,
+      "mean_token_accuracy": 0.17555084377527236,
+      "num_tokens": 6785371.0,
+      "step": 3725
+    },
+    {
+      "entropy": 5.494755983352661,
+      "epoch": 3.0903065451532727,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00043571759387337665,
+      "loss": 5.1456,
+      "mean_token_accuracy": 0.1808715656399727,
+      "num_tokens": 6795242.0,
+      "step": 3730
+    },
+    {
+      "entropy": 5.591760492324829,
+      "epoch": 3.0944490472245234,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004354937938885385,
+      "loss": 5.2235,
+      "mean_token_accuracy": 0.17338325083255768,
+      "num_tokens": 6805423.0,
+      "step": 3735
+    },
+    {
+      "entropy": 5.464981889724731,
+      "epoch": 3.0985915492957745,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004352696701701796,
+      "loss": 5.1469,
+      "mean_token_accuracy": 0.17880967408418655,
+      "num_tokens": 6814377.0,
+      "step": 3740
+    },
+    {
+      "entropy": 5.448660278320313,
+      "epoch": 3.1027340513670256,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004350452231703819,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.18132367432117463,
+      "num_tokens": 6824025.0,
+      "step": 3745
+    },
+    {
+      "entropy": 5.550149536132812,
+      "epoch": 3.1068765534382767,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043482045334187954,
+      "loss": 5.1273,
+      "mean_token_accuracy": 0.18649032860994338,
+      "num_tokens": 6833071.0,
+      "step": 3750
+    },
+    {
+      "entropy": 5.442513799667358,
+      "epoch": 3.111019055509528,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043459536113805785,
+      "loss": 5.1076,
+      "mean_token_accuracy": 0.17443138360977173,
+      "num_tokens": 6841983.0,
+      "step": 3755
+    },
+    {
+      "entropy": 5.447629022598266,
+      "epoch": 3.115161557580779,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00043436994701295237,
+      "loss": 5.1043,
+      "mean_token_accuracy": 0.17914267033338546,
+      "num_tokens": 6851436.0,
+      "step": 3760
+    },
+    {
+      "entropy": 5.461205101013183,
+      "epoch": 3.1193040596520296,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00043414421142124804,
+      "loss": 5.1836,
+      "mean_token_accuracy": 0.1672696813941002,
+      "num_tokens": 6861810.0,
+      "step": 3765
+    },
+    {
+      "entropy": 5.478553342819214,
+      "epoch": 3.1234465617232807,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00043391815481827814,
+      "loss": 5.0639,
+      "mean_token_accuracy": 0.18850475996732713,
+      "num_tokens": 6870418.0,
+      "step": 3770
+    },
+    {
+      "entropy": 5.41155161857605,
+      "epoch": 3.127589063794532,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004336917776600237,
+      "loss": 5.0683,
+      "mean_token_accuracy": 0.18221812546253205,
+      "num_tokens": 6879419.0,
+      "step": 3775
+    },
+    {
+      "entropy": 5.435874891281128,
+      "epoch": 3.131731565865783,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004334650804031122,
+      "loss": 5.1852,
+      "mean_token_accuracy": 0.17172302156686783,
+      "num_tokens": 6888768.0,
+      "step": 3780
+    },
+    {
+      "entropy": 5.507850646972656,
+      "epoch": 3.135874067937034,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004332380635048165,
+      "loss": 5.1296,
+      "mean_token_accuracy": 0.17900288552045823,
+      "num_tokens": 6897133.0,
+      "step": 3785
+    },
+    {
+      "entropy": 5.485491752624512,
+      "epoch": 3.140016570008285,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00043301072742305474,
+      "loss": 5.1773,
+      "mean_token_accuracy": 0.17168077528476716,
+      "num_tokens": 6904976.0,
+      "step": 3790
+    },
+    {
+      "entropy": 5.537312364578247,
+      "epoch": 3.1441590720795363,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0004327830726163886,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.17883574068546296,
+      "num_tokens": 6915138.0,
+      "step": 3795
+    },
+    {
+      "entropy": 5.548703718185425,
+      "epoch": 3.148301574150787,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0004325550995440226,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.1752033144235611,
+      "num_tokens": 6923962.0,
+      "step": 3800
+    },
+    {
+      "entropy": 5.386642169952393,
+      "epoch": 3.152444076222038,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043232680866580356,
+      "loss": 5.1478,
+      "mean_token_accuracy": 0.17952724993228913,
+      "num_tokens": 6932102.0,
+      "step": 3805
+    },
+    {
+      "entropy": 5.464086627960205,
+      "epoch": 3.156586578293289,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00043209820044221893,
+      "loss": 5.153,
+      "mean_token_accuracy": 0.1785269558429718,
+      "num_tokens": 6940354.0,
+      "step": 3810
+    },
+    {
+      "entropy": 5.4963922023773195,
+      "epoch": 3.1607290803645403,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00043186927533439654,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.1716633692383766,
+      "num_tokens": 6949779.0,
+      "step": 3815
+    },
+    {
+      "entropy": 5.536400413513183,
+      "epoch": 3.1648715824357914,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043164003380410335,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.17445194274187087,
+      "num_tokens": 6958760.0,
+      "step": 3820
+    },
+    {
+      "entropy": 5.486375331878662,
+      "epoch": 3.169014084507042,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004314104763137445,
+      "loss": 5.1037,
+      "mean_token_accuracy": 0.18134674280881882,
+      "num_tokens": 6967535.0,
+      "step": 3825
+    },
+    {
+      "entropy": 5.469356393814087,
+      "epoch": 3.173156586578293,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043118060332636264,
+      "loss": 5.2036,
+      "mean_token_accuracy": 0.17774708271026612,
+      "num_tokens": 6976211.0,
+      "step": 3830
+    },
+    {
+      "entropy": 5.576221227645874,
+      "epoch": 3.1772990886495442,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043095041530563665,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.17325948774814606,
+      "num_tokens": 6986001.0,
+      "step": 3835
+    },
+    {
+      "entropy": 5.420689487457276,
+      "epoch": 3.1814415907207954,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00043071991271588104,
+      "loss": 5.2006,
+      "mean_token_accuracy": 0.18302187621593474,
+      "num_tokens": 6994568.0,
+      "step": 3840
+    },
+    {
+      "entropy": 5.52434401512146,
+      "epoch": 3.1855840927920465,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004304890960220446,
+      "loss": 5.2921,
+      "mean_token_accuracy": 0.16869494169950486,
+      "num_tokens": 7004744.0,
+      "step": 3845
+    },
+    {
+      "entropy": 5.520354557037353,
+      "epoch": 3.1897265948632976,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043025796568970975,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.1696591019630432,
+      "num_tokens": 7014315.0,
+      "step": 3850
+    },
+    {
+      "entropy": 5.523347425460815,
+      "epoch": 3.1938690969345487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043002652218509184,
+      "loss": 5.1172,
+      "mean_token_accuracy": 0.18450311720371246,
+      "num_tokens": 7022258.0,
+      "step": 3855
+    },
+    {
+      "entropy": 5.522213459014893,
+      "epoch": 3.1980115990057993,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004297947659750376,
+      "loss": 5.2587,
+      "mean_token_accuracy": 0.1674624815583229,
+      "num_tokens": 7031732.0,
+      "step": 3860
+    },
+    {
+      "entropy": 5.467557621002197,
+      "epoch": 3.2021541010770505,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004295626975270246,
+      "loss": 5.1818,
+      "mean_token_accuracy": 0.1766605108976364,
+      "num_tokens": 7040478.0,
+      "step": 3865
+    },
+    {
+      "entropy": 5.490935039520264,
+      "epoch": 3.2062966031483016,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00042933031730916024,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.18396904766559602,
+      "num_tokens": 7049360.0,
+      "step": 3870
+    },
+    {
+      "entropy": 5.5688018798828125,
+      "epoch": 3.2104391052195527,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000429097625790181,
+      "loss": 5.2267,
+      "mean_token_accuracy": 0.17498258501291275,
+      "num_tokens": 7059271.0,
+      "step": 3875
+    },
+    {
+      "entropy": 5.398471450805664,
+      "epoch": 3.2145816072908038,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004288646234394508,
+      "loss": 5.2177,
+      "mean_token_accuracy": 0.17296054661273957,
+      "num_tokens": 7069038.0,
+      "step": 3880
+    },
+    {
+      "entropy": 5.5407984256744385,
+      "epoch": 3.218724109362055,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00042863131072696115,
+      "loss": 5.1617,
+      "mean_token_accuracy": 0.17704827934503556,
+      "num_tokens": 7077971.0,
+      "step": 3885
+    },
+    {
+      "entropy": 5.4559561252594,
+      "epoch": 3.2228666114333056,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00042839768812332905,
+      "loss": 5.1612,
+      "mean_token_accuracy": 0.17406544089317322,
+      "num_tokens": 7086821.0,
+      "step": 3890
+    },
+    {
+      "entropy": 5.419722366333008,
+      "epoch": 3.2270091135045567,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000428163756099797,
+      "loss": 5.1859,
+      "mean_token_accuracy": 0.17225482910871506,
+      "num_tokens": 7095407.0,
+      "step": 3895
+    },
+    {
+      "entropy": 5.48249921798706,
+      "epoch": 3.2311516155758078,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004279295151282314,
+      "loss": 5.1116,
+      "mean_token_accuracy": 0.18240531533956528,
+      "num_tokens": 7103964.0,
+      "step": 3900
+    },
+    {
+      "entropy": 5.564240264892578,
+      "epoch": 3.235294117647059,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004276949656811217,
+      "loss": 5.251,
+      "mean_token_accuracy": 0.17079487890005113,
+      "num_tokens": 7113571.0,
+      "step": 3905
+    },
+    {
+      "entropy": 5.522033739089966,
+      "epoch": 3.23943661971831,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00042746010823158006,
+      "loss": 5.2738,
+      "mean_token_accuracy": 0.17067040055990218,
+      "num_tokens": 7122844.0,
+      "step": 3910
+    },
+    {
+      "entropy": 5.4324219703674315,
+      "epoch": 3.243579121789561,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042722494325333945,
+      "loss": 5.1326,
+      "mean_token_accuracy": 0.176889306306839,
+      "num_tokens": 7132123.0,
+      "step": 3915
+    },
+    {
+      "entropy": 5.458636379241943,
+      "epoch": 3.2477216238608118,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004269894712207533,
+      "loss": 5.1819,
+      "mean_token_accuracy": 0.18051923513412477,
+      "num_tokens": 7141068.0,
+      "step": 3920
+    },
+    {
+      "entropy": 5.43212571144104,
+      "epoch": 3.251864125932063,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004267536926087947,
+      "loss": 5.1925,
+      "mean_token_accuracy": 0.1708641156554222,
+      "num_tokens": 7150829.0,
+      "step": 3925
+    },
+    {
+      "entropy": 5.458031702041626,
+      "epoch": 3.256006628003314,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004265176078930545,
+      "loss": 5.1703,
+      "mean_token_accuracy": 0.17345706522464752,
+      "num_tokens": 7160814.0,
+      "step": 3930
+    },
+    {
+      "entropy": 5.498150825500488,
+      "epoch": 3.260149130074565,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00042628121754974166,
+      "loss": 5.2634,
+      "mean_token_accuracy": 0.17203340232372283,
+      "num_tokens": 7170085.0,
+      "step": 3935
+    },
+    {
+      "entropy": 5.590339422225952,
+      "epoch": 3.264291632145816,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004260445220556811,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.1736685037612915,
+      "num_tokens": 7179366.0,
+      "step": 3940
+    },
+    {
+      "entropy": 5.52174072265625,
+      "epoch": 3.2684341342170673,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00042580752188831376,
+      "loss": 5.2819,
+      "mean_token_accuracy": 0.17067586481571198,
+      "num_tokens": 7188342.0,
+      "step": 3945
+    },
+    {
+      "entropy": 5.556540441513062,
+      "epoch": 3.272576636288318,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004255702175256946,
+      "loss": 5.3095,
+      "mean_token_accuracy": 0.17531315684318544,
+      "num_tokens": 7197466.0,
+      "step": 3950
+    },
+    {
+      "entropy": 5.42687840461731,
+      "epoch": 3.276719138359569,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00042533260944649273,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17852312475442886,
+      "num_tokens": 7205462.0,
+      "step": 3955
+    },
+    {
+      "entropy": 5.424286890029907,
+      "epoch": 3.28086164043082,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004250946981299893,
+      "loss": 5.1838,
+      "mean_token_accuracy": 0.17682615667581558,
+      "num_tokens": 7215115.0,
+      "step": 3960
+    },
+    {
+      "entropy": 5.459038209915161,
+      "epoch": 3.2850041425020713,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00042485648405607776,
+      "loss": 5.1379,
+      "mean_token_accuracy": 0.17029522657394408,
+      "num_tokens": 7224909.0,
+      "step": 3965
+    },
+    {
+      "entropy": 5.392039203643799,
+      "epoch": 3.2891466445733224,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004246179677052617,
+      "loss": 5.0642,
+      "mean_token_accuracy": 0.18698266595602037,
+      "num_tokens": 7232946.0,
+      "step": 3970
+    },
+    {
+      "entropy": 5.362467432022095,
+      "epoch": 3.2932891466445735,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004243791495586547,
+      "loss": 5.1736,
+      "mean_token_accuracy": 0.17996304631233215,
+      "num_tokens": 7241104.0,
+      "step": 3975
+    },
+    {
+      "entropy": 5.567073392868042,
+      "epoch": 3.297431648715824,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004241400300979791,
+      "loss": 5.2257,
+      "mean_token_accuracy": 0.1786801502108574,
+      "num_tokens": 7250749.0,
+      "step": 3980
+    },
+    {
+      "entropy": 5.447740983963013,
+      "epoch": 3.3015741507870753,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004239006098055651,
+      "loss": 5.124,
+      "mean_token_accuracy": 0.1787547677755356,
+      "num_tokens": 7258687.0,
+      "step": 3985
+    },
+    {
+      "entropy": 5.41381049156189,
+      "epoch": 3.3057166528583264,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004236608891643494,
+      "loss": 5.1572,
+      "mean_token_accuracy": 0.17702401280403138,
+      "num_tokens": 7267316.0,
+      "step": 3990
+    },
+    {
+      "entropy": 5.448715782165527,
+      "epoch": 3.3098591549295775,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004234208686578748,
+      "loss": 5.1777,
+      "mean_token_accuracy": 0.17505329996347427,
+      "num_tokens": 7276734.0,
+      "step": 3995
+    },
+    {
+      "entropy": 5.440592193603516,
+      "epoch": 3.3140016570008286,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00042318054877028876,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17840310037136078,
+      "num_tokens": 7285916.0,
+      "step": 4000
+    },
+    {
+      "epoch": 3.3140016570008286,
+      "eval_entropy": 5.363256025416002,
+      "eval_loss": 5.893955707550049,
+      "eval_mean_token_accuracy": 0.15349840453819935,
+      "eval_num_tokens": 7285916.0,
+      "eval_runtime": 2.7471,
+      "eval_samples_per_second": 1363.961,
+      "eval_steps_per_second": 170.723,
+      "step": 4000
+    },
+    {
+      "entropy": 5.487448406219483,
+      "epoch": 3.3181441590720797,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042293992998634314,
+      "loss": 5.1667,
+      "mean_token_accuracy": 0.17779863625764847,
+      "num_tokens": 7294184.0,
+      "step": 4005
+    },
+    {
+      "entropy": 5.414953899383545,
+      "epoch": 3.3222866611433304,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004226990127913918,
+      "loss": 5.177,
+      "mean_token_accuracy": 0.1768763244152069,
+      "num_tokens": 7302647.0,
+      "step": 4010
+    },
+    {
+      "entropy": 5.442982530593872,
+      "epoch": 3.3264291632145815,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004224577976713915,
+      "loss": 5.2506,
+      "mean_token_accuracy": 0.16832198798656464,
+      "num_tokens": 7311455.0,
+      "step": 4015
+    },
+    {
+      "entropy": 5.609448575973511,
+      "epoch": 3.3305716652858326,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00042221628511289927,
+      "loss": 5.3136,
+      "mean_token_accuracy": 0.16625809520483018,
+      "num_tokens": 7320978.0,
+      "step": 4020
+    },
+    {
+      "entropy": 5.612923622131348,
+      "epoch": 3.3347141673570837,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004219744756030723,
+      "loss": 5.3273,
+      "mean_token_accuracy": 0.16872513592243193,
+      "num_tokens": 7330202.0,
+      "step": 4025
+    },
+    {
+      "entropy": 5.4015247344970705,
+      "epoch": 3.338856669428335,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00042173236962966706,
+      "loss": 5.1649,
+      "mean_token_accuracy": 0.17969190180301667,
+      "num_tokens": 7339121.0,
+      "step": 4030
+    },
+    {
+      "entropy": 5.492907905578614,
+      "epoch": 3.342999171499586,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004214899676810375,
+      "loss": 5.2251,
+      "mean_token_accuracy": 0.1665240079164505,
+      "num_tokens": 7348631.0,
+      "step": 4035
+    },
+    {
+      "entropy": 5.469464063644409,
+      "epoch": 3.347141673570837,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004212472702461348,
+      "loss": 5.1843,
+      "mean_token_accuracy": 0.1820875510573387,
+      "num_tokens": 7358354.0,
+      "step": 4040
+    },
+    {
+      "entropy": 5.454071807861328,
+      "epoch": 3.3512841756420877,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004210042778145064,
+      "loss": 5.2038,
+      "mean_token_accuracy": 0.17285584658384323,
+      "num_tokens": 7367031.0,
+      "step": 4045
+    },
+    {
+      "entropy": 5.436822319030762,
+      "epoch": 3.355426677713339,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00042076099087629443,
+      "loss": 5.2025,
+      "mean_token_accuracy": 0.1784903883934021,
+      "num_tokens": 7375996.0,
+      "step": 4050
+    },
+    {
+      "entropy": 5.552537536621093,
+      "epoch": 3.35956917978459,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00042051740992223534,
+      "loss": 5.2567,
+      "mean_token_accuracy": 0.16439318358898164,
+      "num_tokens": 7385355.0,
+      "step": 4055
+    },
+    {
+      "entropy": 5.402252960205078,
+      "epoch": 3.363711681855841,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004202735354436586,
+      "loss": 5.0999,
+      "mean_token_accuracy": 0.1792566418647766,
+      "num_tokens": 7394384.0,
+      "step": 4060
+    },
+    {
+      "entropy": 5.511481237411499,
+      "epoch": 3.367854183927092,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00042002936793248546,
+      "loss": 5.2458,
+      "mean_token_accuracy": 0.1770971804857254,
+      "num_tokens": 7403141.0,
+      "step": 4065
+    },
+    {
+      "entropy": 5.508409786224365,
+      "epoch": 3.371996685998343,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004197849078812286,
+      "loss": 5.199,
+      "mean_token_accuracy": 0.1739865079522133,
+      "num_tokens": 7413331.0,
+      "step": 4070
+    },
+    {
+      "entropy": 5.471702003479004,
+      "epoch": 3.376139188069594,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004195401557829907,
+      "loss": 5.2368,
+      "mean_token_accuracy": 0.17052597552537918,
+      "num_tokens": 7422362.0,
+      "step": 4075
+    },
+    {
+      "entropy": 5.4563977241516115,
+      "epoch": 3.380281690140845,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041929511213146343,
+      "loss": 5.1661,
+      "mean_token_accuracy": 0.18033864200115204,
+      "num_tokens": 7431350.0,
+      "step": 4080
+    },
+    {
+      "entropy": 5.4815953254699705,
+      "epoch": 3.384424192212096,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004190497774209266,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.1800685152411461,
+      "num_tokens": 7440382.0,
+      "step": 4085
+    },
+    {
+      "entropy": 5.51438536643982,
+      "epoch": 3.3885666942833472,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00041880415214624715,
+      "loss": 5.2355,
+      "mean_token_accuracy": 0.17847414761781694,
+      "num_tokens": 7449357.0,
+      "step": 4090
+    },
+    {
+      "entropy": 5.463125705718994,
+      "epoch": 3.3927091963545983,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004185582368028781,
+      "loss": 5.1468,
+      "mean_token_accuracy": 0.1853232800960541,
+      "num_tokens": 7457544.0,
+      "step": 4095
+    },
+    {
+      "entropy": 5.409591102600098,
+      "epoch": 3.3968516984258494,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004183120318868577,
+      "loss": 5.1616,
+      "mean_token_accuracy": 0.18774343580007552,
+      "num_tokens": 7465915.0,
+      "step": 4100
+    },
+    {
+      "entropy": 5.435869741439819,
+      "epoch": 3.4009942004971,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00041806553789480787,
+      "loss": 5.1161,
+      "mean_token_accuracy": 0.1833360970020294,
+      "num_tokens": 7474551.0,
+      "step": 4105
+    },
+    {
+      "entropy": 5.507905626296997,
+      "epoch": 3.405136702568351,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00041781875532393423,
+      "loss": 5.2287,
+      "mean_token_accuracy": 0.17473389357328414,
+      "num_tokens": 7483271.0,
+      "step": 4110
+    },
+    {
+      "entropy": 5.474280261993409,
+      "epoch": 3.4092792046396023,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00041757168467202404,
+      "loss": 5.2371,
+      "mean_token_accuracy": 0.17051266878843307,
+      "num_tokens": 7493179.0,
+      "step": 4115
+    },
+    {
+      "entropy": 5.47375521659851,
+      "epoch": 3.4134217067108534,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00041732432643744576,
+      "loss": 5.2132,
+      "mean_token_accuracy": 0.17562344074249267,
+      "num_tokens": 7501858.0,
+      "step": 4120
+    },
+    {
+      "entropy": 5.562008953094482,
+      "epoch": 3.4175642087821045,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004170766811191481,
+      "loss": 5.282,
+      "mean_token_accuracy": 0.16895801872014998,
+      "num_tokens": 7511817.0,
+      "step": 4125
+    },
+    {
+      "entropy": 5.3949895858764645,
+      "epoch": 3.421706710853355,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.0004168287492166587,
+      "loss": 5.2513,
+      "mean_token_accuracy": 0.175115604698658,
+      "num_tokens": 7521655.0,
+      "step": 4130
+    },
+    {
+      "entropy": 5.478516006469727,
+      "epoch": 3.4258492129246063,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041658053123008325,
+      "loss": 5.2289,
+      "mean_token_accuracy": 0.17174260020256044,
+      "num_tokens": 7531321.0,
+      "step": 4135
+    },
+    {
+      "entropy": 5.469200515747071,
+      "epoch": 3.4299917149958574,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004163320276601046,
+      "loss": 5.2104,
+      "mean_token_accuracy": 0.17538849860429764,
+      "num_tokens": 7540613.0,
+      "step": 4140
+    },
+    {
+      "entropy": 5.478423690795898,
+      "epoch": 3.4341342170671085,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004160832390079816,
+      "loss": 5.2823,
+      "mean_token_accuracy": 0.17514234632253647,
+      "num_tokens": 7549598.0,
+      "step": 4145
+    },
+    {
+      "entropy": 5.449503993988037,
+      "epoch": 3.4382767191383596,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00041583416577554815,
+      "loss": 5.1509,
+      "mean_token_accuracy": 0.18169643133878707,
+      "num_tokens": 7558738.0,
+      "step": 4150
+    },
+    {
+      "entropy": 5.454873323440552,
+      "epoch": 3.4424192212096107,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041558480846521213,
+      "loss": 5.1996,
+      "mean_token_accuracy": 0.17627429366111755,
+      "num_tokens": 7566873.0,
+      "step": 4155
+    },
+    {
+      "entropy": 5.413073778152466,
+      "epoch": 3.446561723280862,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041533516757995455,
+      "loss": 5.18,
+      "mean_token_accuracy": 0.1794169783592224,
+      "num_tokens": 7576645.0,
+      "step": 4160
+    },
+    {
+      "entropy": 5.449489498138428,
+      "epoch": 3.4507042253521125,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004150852436233283,
+      "loss": 5.1844,
+      "mean_token_accuracy": 0.17338148206472398,
+      "num_tokens": 7584854.0,
+      "step": 4165
+    },
+    {
+      "entropy": 5.500524044036865,
+      "epoch": 3.4548467274233636,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004148350370994574,
+      "loss": 5.3142,
+      "mean_token_accuracy": 0.16781232208013536,
+      "num_tokens": 7594022.0,
+      "step": 4170
+    },
+    {
+      "entropy": 5.458495187759399,
+      "epoch": 3.4589892294946147,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004145845485130357,
+      "loss": 5.1757,
+      "mean_token_accuracy": 0.17461147904396057,
+      "num_tokens": 7603259.0,
+      "step": 4175
+    },
+    {
+      "entropy": 5.453242301940918,
+      "epoch": 3.463131731565866,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00041433377836932594,
+      "loss": 5.2853,
+      "mean_token_accuracy": 0.1680028423666954,
+      "num_tokens": 7613451.0,
+      "step": 4180
+    },
+    {
+      "entropy": 5.533868455886841,
+      "epoch": 3.467274233637117,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00041408272717415913,
+      "loss": 5.245,
+      "mean_token_accuracy": 0.17225596755743028,
+      "num_tokens": 7622218.0,
+      "step": 4185
+    },
+    {
+      "entropy": 5.351213121414185,
+      "epoch": 3.4714167357083676,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004138313954339327,
+      "loss": 5.104,
+      "mean_token_accuracy": 0.17463669180870056,
+      "num_tokens": 7630508.0,
+      "step": 4190
+    },
+    {
+      "entropy": 5.488496780395508,
+      "epoch": 3.4755592377796187,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004135797836556106,
+      "loss": 5.1982,
+      "mean_token_accuracy": 0.181541608273983,
+      "num_tokens": 7640141.0,
+      "step": 4195
+    },
+    {
+      "entropy": 5.459699392318726,
+      "epoch": 3.47970173985087,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041332789234672094,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1721531167626381,
+      "num_tokens": 7648764.0,
+      "step": 4200
+    },
+    {
+      "entropy": 5.406872129440307,
+      "epoch": 3.483844241922121,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004130757220153561,
+      "loss": 5.1952,
+      "mean_token_accuracy": 0.18173792064189911,
+      "num_tokens": 7658642.0,
+      "step": 4205
+    },
+    {
+      "entropy": 5.544135618209839,
+      "epoch": 3.487986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004128232731701712,
+      "loss": 5.377,
+      "mean_token_accuracy": 0.16519460082054138,
+      "num_tokens": 7667524.0,
+      "step": 4210
+    },
+    {
+      "entropy": 5.488169002532959,
+      "epoch": 3.492129246064623,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004125705463203833,
+      "loss": 5.1928,
+      "mean_token_accuracy": 0.18297115415334703,
+      "num_tokens": 7675800.0,
+      "step": 4215
+    },
+    {
+      "entropy": 5.490040969848633,
+      "epoch": 3.4962717481358743,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041231754197576986,
+      "loss": 5.2252,
+      "mean_token_accuracy": 0.1757526621222496,
+      "num_tokens": 7683742.0,
+      "step": 4220
+    },
+    {
+      "entropy": 5.468280076980591,
+      "epoch": 3.5004142502071254,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004120642606466685,
+      "loss": 5.2278,
+      "mean_token_accuracy": 0.1796238511800766,
+      "num_tokens": 7692379.0,
+      "step": 4225
+    },
+    {
+      "entropy": 5.494374942779541,
+      "epoch": 3.504556752278376,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004118107028439751,
+      "loss": 5.2138,
+      "mean_token_accuracy": 0.17588699012994766,
+      "num_tokens": 7702156.0,
+      "step": 4230
+    },
+    {
+      "entropy": 5.467664003372192,
+      "epoch": 3.508699254349627,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00041155686907914365,
+      "loss": 5.2275,
+      "mean_token_accuracy": 0.1754150867462158,
+      "num_tokens": 7712135.0,
+      "step": 4235
+    },
+    {
+      "entropy": 5.451332426071167,
+      "epoch": 3.5128417564208783,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004113027598641845,
+      "loss": 5.1785,
+      "mean_token_accuracy": 0.1752738744020462,
+      "num_tokens": 7721347.0,
+      "step": 4240
+    },
+    {
+      "entropy": 5.471200275421142,
+      "epoch": 3.5169842584921294,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004110483757116637,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.1789921909570694,
+      "num_tokens": 7731351.0,
+      "step": 4245
+    },
+    {
+      "entropy": 5.433224248886108,
+      "epoch": 3.52112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00041079371713470195,
+      "loss": 5.0996,
+      "mean_token_accuracy": 0.18778069019317628,
+      "num_tokens": 7740413.0,
+      "step": 4250
+    },
+    {
+      "entropy": 5.416608476638794,
+      "epoch": 3.525269262634631,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041053878464697343,
+      "loss": 5.1977,
+      "mean_token_accuracy": 0.18009850829839708,
+      "num_tokens": 7749319.0,
+      "step": 4255
+    },
+    {
+      "entropy": 5.519042015075684,
+      "epoch": 3.5294117647058822,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004102835787627047,
+      "loss": 5.2446,
+      "mean_token_accuracy": 0.17312991321086885,
+      "num_tokens": 7757936.0,
+      "step": 4260
+    },
+    {
+      "entropy": 5.542943048477173,
+      "epoch": 3.5335542667771334,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004100280999966741,
+      "loss": 5.3083,
+      "mean_token_accuracy": 0.17331433892250062,
+      "num_tokens": 7767349.0,
+      "step": 4265
+    },
+    {
+      "entropy": 5.4042651653289795,
+      "epoch": 3.5376967688483845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00040977234886421007,
+      "loss": 5.1133,
+      "mean_token_accuracy": 0.17731781899929047,
+      "num_tokens": 7776448.0,
+      "step": 4270
+    },
+    {
+      "entropy": 5.4222177028656,
+      "epoch": 3.5418392709196356,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040951632588119064,
+      "loss": 5.209,
+      "mean_token_accuracy": 0.17401482313871383,
+      "num_tokens": 7785768.0,
+      "step": 4275
+    },
+    {
+      "entropy": 5.600345802307129,
+      "epoch": 3.5459817729908867,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004092600315640422,
+      "loss": 5.2999,
+      "mean_token_accuracy": 0.1715576618909836,
+      "num_tokens": 7794803.0,
+      "step": 4280
+    },
+    {
+      "entropy": 5.411063814163208,
+      "epoch": 3.550124275062138,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004090034664297382,
+      "loss": 5.157,
+      "mean_token_accuracy": 0.17963247746229172,
+      "num_tokens": 7803533.0,
+      "step": 4285
+    },
+    {
+      "entropy": 5.421855831146241,
+      "epoch": 3.5542667771333885,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00040874663099579883,
+      "loss": 5.2246,
+      "mean_token_accuracy": 0.1706953912973404,
+      "num_tokens": 7812854.0,
+      "step": 4290
+    },
+    {
+      "entropy": 5.49954047203064,
+      "epoch": 3.5584092792046396,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040848952578028915,
+      "loss": 5.1628,
+      "mean_token_accuracy": 0.174958436191082,
+      "num_tokens": 7821683.0,
+      "step": 4295
+    },
+    {
+      "entropy": 5.501424264907837,
+      "epoch": 3.5625517812758907,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004082321513018183,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.18335361480712892,
+      "num_tokens": 7830967.0,
+      "step": 4300
+    },
+    {
+      "entropy": 5.48747296333313,
+      "epoch": 3.566694283347142,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00040797450807953897,
+      "loss": 5.2159,
+      "mean_token_accuracy": 0.17444179207086563,
+      "num_tokens": 7841179.0,
+      "step": 4305
+    },
+    {
+      "entropy": 5.489819192886353,
+      "epoch": 3.5708367854183924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004077165966331454,
+      "loss": 5.1587,
+      "mean_token_accuracy": 0.1852751389145851,
+      "num_tokens": 7849841.0,
+      "step": 4310
+    },
+    {
+      "entropy": 5.301797342300415,
+      "epoch": 3.5749792874896436,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004074584174828735,
+      "loss": 5.2184,
+      "mean_token_accuracy": 0.1747626096010208,
+      "num_tokens": 7859390.0,
+      "step": 4315
+    },
+    {
+      "entropy": 5.493851947784424,
+      "epoch": 3.5791217895608947,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040719997114949856,
+      "loss": 5.1913,
+      "mean_token_accuracy": 0.17565421015024185,
+      "num_tokens": 7868848.0,
+      "step": 4320
+    },
+    {
+      "entropy": 5.506833124160766,
+      "epoch": 3.5832642916321458,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040694125815433533,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.18058759868144988,
+      "num_tokens": 7877521.0,
+      "step": 4325
+    },
+    {
+      "entropy": 5.488465976715088,
+      "epoch": 3.587406793703397,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004066822790192359,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.17181889414787294,
+      "num_tokens": 7886355.0,
+      "step": 4330
+    },
+    {
+      "entropy": 5.437413024902344,
+      "epoch": 3.591549295774648,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00040642303426658967,
+      "loss": 5.2518,
+      "mean_token_accuracy": 0.17224401384592056,
+      "num_tokens": 7895028.0,
+      "step": 4335
+    },
+    {
+      "entropy": 5.379445266723633,
+      "epoch": 3.595691797845899,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040616352441932163,
+      "loss": 5.1282,
+      "mean_token_accuracy": 0.17695483118295668,
+      "num_tokens": 7904192.0,
+      "step": 4340
+    },
+    {
+      "entropy": 5.439553546905517,
+      "epoch": 3.59983429991715,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00040590375000089146,
+      "loss": 5.2066,
+      "mean_token_accuracy": 0.17032651007175445,
+      "num_tokens": 7912328.0,
+      "step": 4345
+    },
+    {
+      "entropy": 5.5121315002441404,
+      "epoch": 3.603976801988401,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00040564371153529256,
+      "loss": 5.2517,
+      "mean_token_accuracy": 0.1720314145088196,
+      "num_tokens": 7922594.0,
+      "step": 4350
+    },
+    {
+      "entropy": 5.450373315811158,
+      "epoch": 3.608119304059652,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004053834095470509,
+      "loss": 5.2201,
+      "mean_token_accuracy": 0.16222715824842454,
+      "num_tokens": 7932345.0,
+      "step": 4355
+    },
+    {
+      "entropy": 5.505369853973389,
+      "epoch": 3.612261806130903,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00040512284456122407,
+      "loss": 5.2236,
+      "mean_token_accuracy": 0.17660728394985198,
+      "num_tokens": 7942800.0,
+      "step": 4360
+    },
+    {
+      "entropy": 5.410261583328247,
+      "epoch": 3.616404308202154,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00040486201710340016,
+      "loss": 5.1287,
+      "mean_token_accuracy": 0.1859680861234665,
+      "num_tokens": 7951094.0,
+      "step": 4365
+    },
+    {
+      "entropy": 5.429905796051026,
+      "epoch": 3.6205468102734053,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040460092769969654,
+      "loss": 5.1947,
+      "mean_token_accuracy": 0.17089750617742538,
+      "num_tokens": 7960652.0,
+      "step": 4370
+    },
+    {
+      "entropy": 5.518308162689209,
+      "epoch": 3.624689312344656,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004043395768767592,
+      "loss": 5.2977,
+      "mean_token_accuracy": 0.16983983814716339,
+      "num_tokens": 7969350.0,
+      "step": 4375
+    },
+    {
+      "entropy": 5.475090789794922,
+      "epoch": 3.628831814415907,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004040779651617612,
+      "loss": 5.1831,
+      "mean_token_accuracy": 0.1762356474995613,
+      "num_tokens": 7978969.0,
+      "step": 4380
+    },
+    {
+      "entropy": 5.422111892700196,
+      "epoch": 3.632974316487158,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040381609308240207,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.1777448311448097,
+      "num_tokens": 7988531.0,
+      "step": 4385
+    },
+    {
+      "entropy": 5.423072242736817,
+      "epoch": 3.6371168185584093,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040355396116690634,
+      "loss": 5.1864,
+      "mean_token_accuracy": 0.17186058908700944,
+      "num_tokens": 7996576.0,
+      "step": 4390
+    },
+    {
+      "entropy": 5.435235500335693,
+      "epoch": 3.6412593206296604,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004032915699440227,
+      "loss": 5.2216,
+      "mean_token_accuracy": 0.17088689655065536,
+      "num_tokens": 8006279.0,
+      "step": 4395
+    },
+    {
+      "entropy": 5.496079921722412,
+      "epoch": 3.6454018227009115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000403028919943023,
+      "loss": 5.2049,
+      "mean_token_accuracy": 0.17314011603593826,
+      "num_tokens": 8015476.0,
+      "step": 4400
+    },
+    {
+      "entropy": 5.474205350875854,
+      "epoch": 3.6495443247721626,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004027660116937009,
+      "loss": 5.2326,
+      "mean_token_accuracy": 0.17077937126159667,
+      "num_tokens": 8025450.0,
+      "step": 4405
+    },
+    {
+      "entropy": 5.4402251720428465,
+      "epoch": 3.6536868268434133,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004025028457263712,
+      "loss": 5.2238,
+      "mean_token_accuracy": 0.17810273319482803,
+      "num_tokens": 8034850.0,
+      "step": 4410
+    },
+    {
+      "entropy": 5.3980237483978275,
+      "epoch": 3.6578293289146644,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004022394225718684,
+      "loss": 5.1709,
+      "mean_token_accuracy": 0.17368220686912536,
+      "num_tokens": 8044526.0,
+      "step": 4415
+    },
+    {
+      "entropy": 5.446775197982788,
+      "epoch": 3.6619718309859155,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004019757427615456,
+      "loss": 5.1341,
+      "mean_token_accuracy": 0.17317759096622468,
+      "num_tokens": 8054033.0,
+      "step": 4420
+    },
+    {
+      "entropy": 5.478370094299317,
+      "epoch": 3.6661143330571666,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0004017118068272739,
+      "loss": 5.2298,
+      "mean_token_accuracy": 0.17926038503646852,
+      "num_tokens": 8063535.0,
+      "step": 4425
+    },
+    {
+      "entropy": 5.495908880233765,
+      "epoch": 3.6702568351284177,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040144761530144096,
+      "loss": 5.2181,
+      "mean_token_accuracy": 0.18870080262422562,
+      "num_tokens": 8073079.0,
+      "step": 4430
+    },
+    {
+      "entropy": 5.367459678649903,
+      "epoch": 3.6743993371996684,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00040118316871695,
+      "loss": 5.1505,
+      "mean_token_accuracy": 0.18230827152729034,
+      "num_tokens": 8082925.0,
+      "step": 4435
+    },
+    {
+      "entropy": 5.457099437713623,
+      "epoch": 3.6785418392709195,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040091846760721857,
+      "loss": 5.2466,
+      "mean_token_accuracy": 0.17278454601764678,
+      "num_tokens": 8092038.0,
+      "step": 4440
+    },
+    {
+      "entropy": 5.460009002685547,
+      "epoch": 3.6826843413421706,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040065351250617774,
+      "loss": 5.2137,
+      "mean_token_accuracy": 0.1679331600666046,
+      "num_tokens": 8101581.0,
+      "step": 4445
+    },
+    {
+      "entropy": 5.392482471466065,
+      "epoch": 3.6868268434134217,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00040038830394827107,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.17032679468393325,
+      "num_tokens": 8111392.0,
+      "step": 4450
+    },
+    {
+      "entropy": 5.5369532108306885,
+      "epoch": 3.690969345484673,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000400122842468453,
+      "loss": 5.2742,
+      "mean_token_accuracy": 0.16916199624538422,
+      "num_tokens": 8120941.0,
+      "step": 4455
+    },
+    {
+      "entropy": 5.403111267089844,
+      "epoch": 3.695111847555924,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003998571286021884,
+      "loss": 5.1822,
+      "mean_token_accuracy": 0.1721450611948967,
+      "num_tokens": 8129983.0,
+      "step": 4460
+    },
+    {
+      "entropy": 5.482623481750489,
+      "epoch": 3.699254349627175,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003995911628854512,
+      "loss": 5.3064,
+      "mean_token_accuracy": 0.1740827202796936,
+      "num_tokens": 8139428.0,
+      "step": 4465
+    },
+    {
+      "entropy": 5.509563970565796,
+      "epoch": 3.7033968516984257,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003993249458547234,
+      "loss": 5.2302,
+      "mean_token_accuracy": 0.16980735808610917,
+      "num_tokens": 8148520.0,
+      "step": 4470
+    },
+    {
+      "entropy": 5.3746521949768065,
+      "epoch": 3.707539353769677,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039905847804699363,
+      "loss": 5.0676,
+      "mean_token_accuracy": 0.18766331672668457,
+      "num_tokens": 8156908.0,
+      "step": 4475
+    },
+    {
+      "entropy": 5.446433591842651,
+      "epoch": 3.711681855840928,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00039879175999975677,
+      "loss": 5.2156,
+      "mean_token_accuracy": 0.18001207262277602,
+      "num_tokens": 8165677.0,
+      "step": 4480
+    },
+    {
+      "entropy": 5.386814975738526,
+      "epoch": 3.715824357912179,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00039852479225101217,
+      "loss": 5.1883,
+      "mean_token_accuracy": 0.17356531620025634,
+      "num_tokens": 8174786.0,
+      "step": 4485
+    },
+    {
+      "entropy": 5.454575872421264,
+      "epoch": 3.71996685998343,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00039825757533926305,
+      "loss": 5.2484,
+      "mean_token_accuracy": 0.16340016275644303,
+      "num_tokens": 8184150.0,
+      "step": 4490
+    },
+    {
+      "entropy": 5.4400050163269045,
+      "epoch": 3.724109362054681,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039799010980351494,
+      "loss": 5.1455,
+      "mean_token_accuracy": 0.1879016414284706,
+      "num_tokens": 8192257.0,
+      "step": 4495
+    },
+    {
+      "entropy": 5.452324247360229,
+      "epoch": 3.728251864125932,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00039772239618327535,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.1748780906200409,
+      "num_tokens": 8201041.0,
+      "step": 4500
+    },
+    {
+      "epoch": 3.728251864125932,
+      "eval_entropy": 5.297962182620441,
+      "eval_loss": 5.854063987731934,
+      "eval_mean_token_accuracy": 0.15576711011085428,
+      "eval_num_tokens": 8201041.0,
+      "eval_runtime": 2.7449,
+      "eval_samples_per_second": 1365.057,
+      "eval_steps_per_second": 170.86,
+      "step": 4500
+    },
+    {
+      "entropy": 5.430630874633789,
+      "epoch": 3.732394366197183,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00039745443501855156,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18020173758268357,
+      "num_tokens": 8209881.0,
+      "step": 4505
+    },
+    {
+      "entropy": 5.426507759094238,
+      "epoch": 3.736536868268434,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039718622684985075,
+      "loss": 5.2198,
+      "mean_token_accuracy": 0.1857784554362297,
+      "num_tokens": 8218504.0,
+      "step": 4510
+    },
+    {
+      "entropy": 5.427436780929566,
+      "epoch": 3.7406793703396852,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000396917772218178,
+      "loss": 5.0397,
+      "mean_token_accuracy": 0.19483556151390075,
+      "num_tokens": 8226785.0,
+      "step": 4515
+    },
+    {
+      "entropy": 5.463036251068115,
+      "epoch": 3.7448218724109363,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0003966490716650357,
+      "loss": 5.1879,
+      "mean_token_accuracy": 0.1808652698993683,
+      "num_tokens": 8236092.0,
+      "step": 4520
+    },
+    {
+      "entropy": 5.398115777969361,
+      "epoch": 3.7489643744821874,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039638012573242225,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18426763266324997,
+      "num_tokens": 8245297.0,
+      "step": 4525
+    },
+    {
+      "entropy": 5.498414611816406,
+      "epoch": 3.7531068765534386,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003961109349628309,
+      "loss": 5.2544,
+      "mean_token_accuracy": 0.16994525790214537,
+      "num_tokens": 8254772.0,
+      "step": 4530
+    },
+    {
+      "entropy": 5.488787031173706,
+      "epoch": 3.757249378624689,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000395841499899249,
+      "loss": 5.3168,
+      "mean_token_accuracy": 0.1684611275792122,
+      "num_tokens": 8264310.0,
+      "step": 4535
+    },
+    {
+      "entropy": 5.4844201564788815,
+      "epoch": 3.7613918806959403,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00039557182108515624,
+      "loss": 5.2197,
+      "mean_token_accuracy": 0.1802253693342209,
+      "num_tokens": 8274184.0,
+      "step": 4540
+    },
+    {
+      "entropy": 5.40406289100647,
+      "epoch": 3.7655343827671914,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039530189906452457,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.18066346347332002,
+      "num_tokens": 8283151.0,
+      "step": 4545
+    },
+    {
+      "entropy": 5.490919494628907,
+      "epoch": 3.7696768848384425,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00039503173438181605,
+      "loss": 5.2375,
+      "mean_token_accuracy": 0.16958207488059998,
+      "num_tokens": 8292574.0,
+      "step": 4550
+    },
+    {
+      "entropy": 5.37688570022583,
+      "epoch": 3.773819386909693,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039476132758198236,
+      "loss": 5.1589,
+      "mean_token_accuracy": 0.17906700521707536,
+      "num_tokens": 8301281.0,
+      "step": 4555
+    },
+    {
+      "entropy": 5.404768991470337,
+      "epoch": 3.7779618889809443,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039449067921046353,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.184201979637146,
+      "num_tokens": 8310201.0,
+      "step": 4560
+    },
+    {
+      "entropy": 5.5153802871704105,
+      "epoch": 3.7821043910521954,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00039421978981318703,
+      "loss": 5.243,
+      "mean_token_accuracy": 0.17428653091192245,
+      "num_tokens": 8320369.0,
+      "step": 4565
+    },
+    {
+      "entropy": 5.490174674987793,
+      "epoch": 3.7862468931234465,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00039394865993656625,
+      "loss": 5.2332,
+      "mean_token_accuracy": 0.17829314470291138,
+      "num_tokens": 8329519.0,
+      "step": 4570
+    },
+    {
+      "entropy": 5.4183516025543215,
+      "epoch": 3.7903893951946976,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003936772901274999,
+      "loss": 5.2233,
+      "mean_token_accuracy": 0.16786337196826934,
+      "num_tokens": 8338282.0,
+      "step": 4575
+    },
+    {
+      "entropy": 5.422275066375732,
+      "epoch": 3.7945318972659487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003934056809333705,
+      "loss": 5.2367,
+      "mean_token_accuracy": 0.1760738953948021,
+      "num_tokens": 8346861.0,
+      "step": 4580
+    },
+    {
+      "entropy": 5.493864250183106,
+      "epoch": 3.7986743993372,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039313383290204333,
+      "loss": 5.2689,
+      "mean_token_accuracy": 0.16675272732973098,
+      "num_tokens": 8356078.0,
+      "step": 4585
+    },
+    {
+      "entropy": 5.449766826629639,
+      "epoch": 3.802816901408451,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003928617465818658,
+      "loss": 5.2279,
+      "mean_token_accuracy": 0.16728012412786483,
+      "num_tokens": 8365487.0,
+      "step": 4590
+    },
+    {
+      "entropy": 5.477828598022461,
+      "epoch": 3.8069594034797016,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00039258942252166554,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.17344195693731307,
+      "num_tokens": 8374622.0,
+      "step": 4595
+    },
+    {
+      "entropy": 5.467281007766724,
+      "epoch": 3.8111019055509527,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003923168612707502,
+      "loss": 5.1437,
+      "mean_token_accuracy": 0.1838704138994217,
+      "num_tokens": 8383312.0,
+      "step": 4600
+    },
+    {
+      "entropy": 5.375951862335205,
+      "epoch": 3.815244407622204,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003920440633789053,
+      "loss": 5.1668,
+      "mean_token_accuracy": 0.17426021844148637,
+      "num_tokens": 8391987.0,
+      "step": 4605
+    },
+    {
+      "entropy": 5.411648225784302,
+      "epoch": 3.819386909693455,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039177102939639424,
+      "loss": 5.1782,
+      "mean_token_accuracy": 0.17309755831956863,
+      "num_tokens": 8401263.0,
+      "step": 4610
+    },
+    {
+      "entropy": 5.520602798461914,
+      "epoch": 3.8235294117647056,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003914977598739563,
+      "loss": 5.1998,
+      "mean_token_accuracy": 0.18663258850574493,
+      "num_tokens": 8410110.0,
+      "step": 4615
+    },
+    {
+      "entropy": 5.505752420425415,
+      "epoch": 3.8276719138359567,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003912242553628059,
+      "loss": 5.2827,
+      "mean_token_accuracy": 0.16937017440795898,
+      "num_tokens": 8419321.0,
+      "step": 4620
+    },
+    {
+      "entropy": 5.470319938659668,
+      "epoch": 3.831814415907208,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003909505164146318,
+      "loss": 5.2512,
+      "mean_token_accuracy": 0.17635022550821305,
+      "num_tokens": 8428376.0,
+      "step": 4625
+    },
+    {
+      "entropy": 5.446829080581665,
+      "epoch": 3.835956917978459,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000390676543581595,
+      "loss": 5.1826,
+      "mean_token_accuracy": 0.1743323564529419,
+      "num_tokens": 8437263.0,
+      "step": 4630
+    },
+    {
+      "entropy": 5.361465311050415,
+      "epoch": 3.84009942004971,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003904023374163289,
+      "loss": 5.1943,
+      "mean_token_accuracy": 0.17949013262987137,
+      "num_tokens": 8445889.0,
+      "step": 4635
+    },
+    {
+      "entropy": 5.503735971450806,
+      "epoch": 3.844241922120961,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003901278984719372,
+      "loss": 5.3739,
+      "mean_token_accuracy": 0.16415481567382811,
+      "num_tokens": 8456086.0,
+      "step": 4640
+    },
+    {
+      "entropy": 5.492273569107056,
+      "epoch": 3.8483844241922123,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00038985322730199326,
+      "loss": 5.2018,
+      "mean_token_accuracy": 0.1795567825436592,
+      "num_tokens": 8465150.0,
+      "step": 4645
+    },
+    {
+      "entropy": 5.431647396087646,
+      "epoch": 3.8525269262634634,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003895783244605389,
+      "loss": 5.2783,
+      "mean_token_accuracy": 0.1720671087503433,
+      "num_tokens": 8474172.0,
+      "step": 4650
+    },
+    {
+      "entropy": 5.404905462265015,
+      "epoch": 3.856669428334714,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00038930319050208315,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.18708953112363816,
+      "num_tokens": 8483636.0,
+      "step": 4655
+    },
+    {
+      "entropy": 5.408392810821534,
+      "epoch": 3.860811930405965,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00038902782598160127,
+      "loss": 5.1091,
+      "mean_token_accuracy": 0.1881578117609024,
+      "num_tokens": 8491560.0,
+      "step": 4660
+    },
+    {
+      "entropy": 5.484521150588989,
+      "epoch": 3.8649544324772163,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00038875223145453346,
+      "loss": 5.4046,
+      "mean_token_accuracy": 0.17662398070096968,
+      "num_tokens": 8501685.0,
+      "step": 4665
+    },
+    {
+      "entropy": 5.551066589355469,
+      "epoch": 3.8690969345484674,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003884764074767842,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.17176942974328996,
+      "num_tokens": 8510580.0,
+      "step": 4670
+    },
+    {
+      "entropy": 5.477302551269531,
+      "epoch": 3.873239436619718,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003882003546047205,
+      "loss": 5.2013,
+      "mean_token_accuracy": 0.17522621154785156,
+      "num_tokens": 8519595.0,
+      "step": 4675
+    },
+    {
+      "entropy": 5.506098508834839,
+      "epoch": 3.877381938690969,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00038792407339517123,
+      "loss": 5.2786,
+      "mean_token_accuracy": 0.17400375306606292,
+      "num_tokens": 8529118.0,
+      "step": 4680
+    },
+    {
+      "entropy": 5.507658243179321,
+      "epoch": 3.8815244407622203,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00038764756440542574,
+      "loss": 5.2477,
+      "mean_token_accuracy": 0.17185091674327851,
+      "num_tokens": 8539322.0,
+      "step": 4685
+    },
+    {
+      "entropy": 5.454025650024414,
+      "epoch": 3.8856669428334714,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038737082819323285,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.17740404605865479,
+      "num_tokens": 8548707.0,
+      "step": 4690
+    },
+    {
+      "entropy": 5.427890157699585,
+      "epoch": 3.8898094449047225,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00038709386531679974,
+      "loss": 5.2576,
+      "mean_token_accuracy": 0.1718251511454582,
+      "num_tokens": 8557500.0,
+      "step": 4695
+    },
+    {
+      "entropy": 5.436252593994141,
+      "epoch": 3.8939519469759736,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00038681667633479086,
+      "loss": 5.2621,
+      "mean_token_accuracy": 0.1682343602180481,
+      "num_tokens": 8567465.0,
+      "step": 4700
+    },
+    {
+      "entropy": 5.381856250762939,
+      "epoch": 3.8980944490472247,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038653926180632665,
+      "loss": 5.1165,
+      "mean_token_accuracy": 0.18321423530578612,
+      "num_tokens": 8576680.0,
+      "step": 4705
+    },
+    {
+      "entropy": 5.495894527435302,
+      "epoch": 3.902236951118476,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00038626162229098257,
+      "loss": 5.2631,
+      "mean_token_accuracy": 0.16617788672447203,
+      "num_tokens": 8585539.0,
+      "step": 4710
+    },
+    {
+      "entropy": 5.400326347351074,
+      "epoch": 3.9063794531897265,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003859837583487877,
+      "loss": 5.1007,
+      "mean_token_accuracy": 0.18613590002059938,
+      "num_tokens": 8593598.0,
+      "step": 4715
+    },
+    {
+      "entropy": 5.4148589134216305,
+      "epoch": 3.9105219552609776,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003857056705402241,
+      "loss": 5.236,
+      "mean_token_accuracy": 0.1721765860915184,
+      "num_tokens": 8603440.0,
+      "step": 4720
+    },
+    {
+      "entropy": 5.384281969070434,
+      "epoch": 3.9146644573322287,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003854273594262253,
+      "loss": 5.0591,
+      "mean_token_accuracy": 0.1858549162745476,
+      "num_tokens": 8612490.0,
+      "step": 4725
+    },
+    {
+      "entropy": 5.387153816223145,
+      "epoch": 3.91880695940348,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003851488255681752,
+      "loss": 5.1508,
+      "mean_token_accuracy": 0.17980385273694993,
+      "num_tokens": 8621994.0,
+      "step": 4730
+    },
+    {
+      "entropy": 5.462166833877563,
+      "epoch": 3.922949461474731,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000384870069527907,
+      "loss": 5.2269,
+      "mean_token_accuracy": 0.16994049549102783,
+      "num_tokens": 8631185.0,
+      "step": 4735
+    },
+    {
+      "entropy": 5.445327711105347,
+      "epoch": 3.9270919635459816,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00038459109186770213,
+      "loss": 5.1201,
+      "mean_token_accuracy": 0.18937034606933595,
+      "num_tokens": 8639018.0,
+      "step": 4740
+    },
+    {
+      "entropy": 5.365725660324097,
+      "epoch": 3.9312344656172327,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00038431189315028905,
+      "loss": 5.1293,
+      "mean_token_accuracy": 0.1805494785308838,
+      "num_tokens": 8647672.0,
+      "step": 4745
+    },
+    {
+      "entropy": 5.42286114692688,
+      "epoch": 3.9353769676884838,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003840324739388419,
+      "loss": 5.2659,
+      "mean_token_accuracy": 0.16662627309560776,
+      "num_tokens": 8656638.0,
+      "step": 4750
+    },
+    {
+      "entropy": 5.4803203582763675,
+      "epoch": 3.939519469759735,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00038375283479698,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.18231208473443986,
+      "num_tokens": 8666167.0,
+      "step": 4755
+    },
+    {
+      "entropy": 5.505121231079102,
+      "epoch": 3.943661971830986,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003834729762887659,
+      "loss": 5.3067,
+      "mean_token_accuracy": 0.16447765678167342,
+      "num_tokens": 8676435.0,
+      "step": 4760
+    },
+    {
+      "entropy": 5.413615751266479,
+      "epoch": 3.947804473902237,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003831928989787049,
+      "loss": 5.1808,
+      "mean_token_accuracy": 0.18012969940900803,
+      "num_tokens": 8686011.0,
+      "step": 4765
+    },
+    {
+      "entropy": 5.463970613479614,
+      "epoch": 3.951946975973488,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003829126034317435,
+      "loss": 5.1959,
+      "mean_token_accuracy": 0.17213619947433473,
+      "num_tokens": 8695063.0,
+      "step": 4770
+    },
+    {
+      "entropy": 5.517300796508789,
+      "epoch": 3.956089478044739,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003826320902132684,
+      "loss": 5.299,
+      "mean_token_accuracy": 0.16880902647972107,
+      "num_tokens": 8704585.0,
+      "step": 4775
+    },
+    {
+      "entropy": 5.469470262527466,
+      "epoch": 3.96023198011599,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038235135988910545,
+      "loss": 5.2111,
+      "mean_token_accuracy": 0.17501715570688248,
+      "num_tokens": 8714097.0,
+      "step": 4780
+    },
+    {
+      "entropy": 5.433980226516724,
+      "epoch": 3.964374482187241,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00038207041302551844,
+      "loss": 5.1327,
+      "mean_token_accuracy": 0.1802523225545883,
+      "num_tokens": 8722890.0,
+      "step": 4785
+    },
+    {
+      "entropy": 5.36038613319397,
+      "epoch": 3.968516984258492,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003817892501892078,
+      "loss": 5.1474,
+      "mean_token_accuracy": 0.18226009160280227,
+      "num_tokens": 8732046.0,
+      "step": 4790
+    },
+    {
+      "entropy": 5.385818529129028,
+      "epoch": 3.9726594863297433,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038150787194730977,
+      "loss": 5.1867,
+      "mean_token_accuracy": 0.18098812699317932,
+      "num_tokens": 8741750.0,
+      "step": 4795
+    },
+    {
+      "entropy": 5.49769434928894,
+      "epoch": 3.976801988400994,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000381226278867395,
+      "loss": 5.1585,
+      "mean_token_accuracy": 0.17722393125295638,
+      "num_tokens": 8750141.0,
+      "step": 4800
+    },
+    {
+      "entropy": 5.3994584560394285,
+      "epoch": 3.980944490472245,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00038094447151746746,
+      "loss": 5.0956,
+      "mean_token_accuracy": 0.18723244071006775,
+      "num_tokens": 8758567.0,
+      "step": 4805
+    },
+    {
+      "entropy": 5.376461982727051,
+      "epoch": 3.985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003806624504659635,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1782562255859375,
+      "num_tokens": 8767829.0,
+      "step": 4810
+    },
+    {
+      "entropy": 5.416551733016968,
+      "epoch": 3.9892294946147473,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003803802162817503,
+      "loss": 5.0891,
+      "mean_token_accuracy": 0.18413031548261644,
+      "num_tokens": 8776911.0,
+      "step": 4815
+    },
+    {
+      "entropy": 5.403548002243042,
+      "epoch": 3.9933719966859984,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000380097769534125,
+      "loss": 5.2011,
+      "mean_token_accuracy": 0.18309975266456605,
+      "num_tokens": 8786117.0,
+      "step": 4820
+    },
+    {
+      "entropy": 5.401311016082763,
+      "epoch": 3.9975144987572495,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003798151107928136,
+      "loss": 5.1436,
+      "mean_token_accuracy": 0.18381998240947722,
+      "num_tokens": 8795647.0,
+      "step": 4825
+    },
+    {
+      "entropy": 5.363515567779541,
+      "epoch": 4.001657000828501,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00037953224062796967,
+      "loss": 5.1114,
+      "mean_token_accuracy": 0.18405449539422988,
+      "num_tokens": 8803480.0,
+      "step": 4830
+    },
+    {
+      "entropy": 5.504069137573242,
+      "epoch": 4.005799502899752,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003792491596101733,
+      "loss": 4.9454,
+      "mean_token_accuracy": 0.19255731254816055,
+      "num_tokens": 8812825.0,
+      "step": 4835
+    },
+    {
+      "entropy": 5.45196304321289,
+      "epoch": 4.009942004971003,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003789658683104298,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19097152799367906,
+      "num_tokens": 8821911.0,
+      "step": 4840
+    },
+    {
+      "entropy": 5.429521989822388,
+      "epoch": 4.014084507042254,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037868236730016866,
+      "loss": 4.9518,
+      "mean_token_accuracy": 0.18948255032300948,
+      "num_tokens": 8830691.0,
+      "step": 4845
+    },
+    {
+      "entropy": 5.400455188751221,
+      "epoch": 4.018227009113504,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037839865715124234,
+      "loss": 4.9281,
+      "mean_token_accuracy": 0.19010053426027299,
+      "num_tokens": 8840410.0,
+      "step": 4850
+    },
+    {
+      "entropy": 5.374143838882446,
+      "epoch": 4.022369511184755,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00037811473843592534,
+      "loss": 4.9042,
+      "mean_token_accuracy": 0.19410175532102586,
+      "num_tokens": 8849662.0,
+      "step": 4855
+    },
+    {
+      "entropy": 5.4465690612792965,
+      "epoch": 4.026512013256006,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00037783061172691273,
+      "loss": 4.8985,
+      "mean_token_accuracy": 0.19412659406661986,
+      "num_tokens": 8858666.0,
+      "step": 4860
+    },
+    {
+      "entropy": 5.497456216812134,
+      "epoch": 4.0306545153272575,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003775462775973191,
+      "loss": 4.9611,
+      "mean_token_accuracy": 0.1847592905163765,
+      "num_tokens": 8867885.0,
+      "step": 4865
+    },
+    {
+      "entropy": 5.351856470108032,
+      "epoch": 4.034797017398509,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003772617366206773,
+      "loss": 4.9175,
+      "mean_token_accuracy": 0.19424951672554017,
+      "num_tokens": 8877458.0,
+      "step": 4870
+    },
+    {
+      "entropy": 5.363556432723999,
+      "epoch": 4.03893951946976,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037697698937093783,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.18704084753990174,
+      "num_tokens": 8886995.0,
+      "step": 4875
+    },
+    {
+      "entropy": 5.463095617294312,
+      "epoch": 4.043082021541011,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00037669203642246685,
+      "loss": 5.026,
+      "mean_token_accuracy": 0.18413490056991577,
+      "num_tokens": 8895224.0,
+      "step": 4880
+    },
+    {
+      "entropy": 5.4529016494750975,
+      "epoch": 4.047224523612262,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00037640687835004567,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.1925043895840645,
+      "num_tokens": 8905216.0,
+      "step": 4885
+    },
+    {
+      "entropy": 5.426698875427246,
+      "epoch": 4.051367025683513,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003761215157288692,
+      "loss": 4.9558,
+      "mean_token_accuracy": 0.19299548715353013,
+      "num_tokens": 8915493.0,
+      "step": 4890
+    },
+    {
+      "entropy": 5.362393617630005,
+      "epoch": 4.055509527754764,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00037583594913454514,
+      "loss": 4.925,
+      "mean_token_accuracy": 0.1959809884428978,
+      "num_tokens": 8924740.0,
+      "step": 4895
+    },
+    {
+      "entropy": 5.42564959526062,
+      "epoch": 4.059652029826015,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003755501791430925,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.18527257889509202,
+      "num_tokens": 8934726.0,
+      "step": 4900
+    },
+    {
+      "entropy": 5.448423719406128,
+      "epoch": 4.063794531897266,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00037526420633094044,
+      "loss": 4.9581,
+      "mean_token_accuracy": 0.18748125433921814,
+      "num_tokens": 8944301.0,
+      "step": 4905
+    },
+    {
+      "entropy": 5.449982643127441,
+      "epoch": 4.067937033968517,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037497803127492757,
+      "loss": 4.9881,
+      "mean_token_accuracy": 0.19187170565128325,
+      "num_tokens": 8953967.0,
+      "step": 4910
+    },
+    {
+      "entropy": 5.326543855667114,
+      "epoch": 4.072079536039768,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003746916545523001,
+      "loss": 4.8948,
+      "mean_token_accuracy": 0.19177066087722777,
+      "num_tokens": 8962983.0,
+      "step": 4915
+    },
+    {
+      "entropy": 5.381871175765991,
+      "epoch": 4.076222038111019,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003744050767407113,
+      "loss": 5.0191,
+      "mean_token_accuracy": 0.18154184073209761,
+      "num_tokens": 8972019.0,
+      "step": 4920
+    },
+    {
+      "entropy": 5.40556058883667,
+      "epoch": 4.08036454018227,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0003741182984182198,
+      "loss": 4.901,
+      "mean_token_accuracy": 0.20234887301921844,
+      "num_tokens": 8981751.0,
+      "step": 4925
+    },
+    {
+      "entropy": 5.3616517066955565,
+      "epoch": 4.084507042253521,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003738313201632889,
+      "loss": 4.8923,
+      "mean_token_accuracy": 0.19780989587306977,
+      "num_tokens": 8990330.0,
+      "step": 4930
+    },
+    {
+      "entropy": 5.314311408996582,
+      "epoch": 4.088649544324772,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003735441425547851,
+      "loss": 4.905,
+      "mean_token_accuracy": 0.19072338491678237,
+      "num_tokens": 8998366.0,
+      "step": 4935
+    },
+    {
+      "entropy": 5.290538501739502,
+      "epoch": 4.092792046396023,
+      "grad_norm": 1.828125,
+      "learning_rate": 0.00037325676617197697,
+      "loss": 4.8317,
+      "mean_token_accuracy": 0.20186650305986403,
+      "num_tokens": 9006881.0,
+      "step": 4940
+    },
+    {
+      "entropy": 5.323595571517944,
+      "epoch": 4.096934548467274,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0003729691915945342,
+      "loss": 4.8944,
+      "mean_token_accuracy": 0.19853760153055192,
+      "num_tokens": 9015415.0,
+      "step": 4945
+    },
+    {
+      "entropy": 5.40374059677124,
+      "epoch": 4.1010770505385254,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000372681419402526,
+      "loss": 4.9483,
+      "mean_token_accuracy": 0.19546929001808167,
+      "num_tokens": 9024578.0,
+      "step": 4950
+    },
+    {
+      "entropy": 5.381409311294556,
+      "epoch": 4.105219552609777,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003723934501764203,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.1867024227976799,
+      "num_tokens": 9032637.0,
+      "step": 4955
+    },
+    {
+      "entropy": 5.395318984985352,
+      "epoch": 4.109362054681028,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0003721052844970826,
+      "loss": 4.8913,
+      "mean_token_accuracy": 0.18718749284744263,
+      "num_tokens": 9041513.0,
+      "step": 4960
+    },
+    {
+      "entropy": 5.394489192962647,
+      "epoch": 4.113504556752279,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00037181692294577457,
+      "loss": 4.9155,
+      "mean_token_accuracy": 0.1854037255048752,
+      "num_tokens": 9051024.0,
+      "step": 4965
+    },
+    {
+      "entropy": 5.33848295211792,
+      "epoch": 4.117647058823529,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037152836610415284,
+      "loss": 4.8895,
+      "mean_token_accuracy": 0.19274405539035797,
+      "num_tokens": 9059494.0,
+      "step": 4970
+    },
+    {
+      "entropy": 5.31979193687439,
+      "epoch": 4.12178956089478,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00037123961455426836,
+      "loss": 4.7988,
+      "mean_token_accuracy": 0.19865831583738328,
+      "num_tokens": 9068166.0,
+      "step": 4975
+    },
+    {
+      "entropy": 5.391095542907715,
+      "epoch": 4.125932062966031,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00037095066887856434,
+      "loss": 4.907,
+      "mean_token_accuracy": 0.19333944320678711,
+      "num_tokens": 9077283.0,
+      "step": 4980
+    },
+    {
+      "entropy": 5.3755443572998045,
+      "epoch": 4.130074565037282,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003706615296598758,
+      "loss": 4.9332,
+      "mean_token_accuracy": 0.19493403136730195,
+      "num_tokens": 9086605.0,
+      "step": 4985
+    },
+    {
+      "entropy": 5.301020622253418,
+      "epoch": 4.134217067108533,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003703721974814282,
+      "loss": 4.9169,
+      "mean_token_accuracy": 0.19399153292179108,
+      "num_tokens": 9095567.0,
+      "step": 4990
+    },
+    {
+      "entropy": 5.282594537734985,
+      "epoch": 4.1383595691797845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00037008267292683615,
+      "loss": 4.9012,
+      "mean_token_accuracy": 0.19265301078557967,
+      "num_tokens": 9104457.0,
+      "step": 4995
+    },
+    {
+      "entropy": 5.398877716064453,
+      "epoch": 4.142502071251036,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036979295658010227,
+      "loss": 4.9533,
+      "mean_token_accuracy": 0.20162091553211212,
+      "num_tokens": 9113945.0,
+      "step": 5000
+    },
+    {
+      "epoch": 4.142502071251036,
+      "eval_entropy": 5.273210916946184,
+      "eval_loss": 5.83656120300293,
+      "eval_mean_token_accuracy": 0.15772452866281272,
+      "eval_num_tokens": 9113945.0,
+      "eval_runtime": 2.9415,
+      "eval_samples_per_second": 1273.844,
+      "eval_steps_per_second": 159.443,
+      "step": 5000
+    },
+    {
+      "entropy": 5.424594402313232,
+      "epoch": 4.146644573322287,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003695030490256161,
+      "loss": 5.0303,
+      "mean_token_accuracy": 0.18944208920001984,
+      "num_tokens": 9122996.0,
+      "step": 5005
+    },
+    {
+      "entropy": 5.355675983428955,
+      "epoch": 4.150787075393538,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000369212950848153,
+      "loss": 4.8793,
+      "mean_token_accuracy": 0.1962927296757698,
+      "num_tokens": 9132079.0,
+      "step": 5010
+    },
+    {
+      "entropy": 5.384340238571167,
+      "epoch": 4.154929577464789,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003689226626328725,
+      "loss": 5.0058,
+      "mean_token_accuracy": 0.19004727751016617,
+      "num_tokens": 9141335.0,
+      "step": 5015
+    },
+    {
+      "entropy": 5.442283582687378,
+      "epoch": 4.15907207953604,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00036863218496531767,
+      "loss": 5.0264,
+      "mean_token_accuracy": 0.18990386426448821,
+      "num_tokens": 9150049.0,
+      "step": 5020
+    },
+    {
+      "entropy": 5.409811115264892,
+      "epoch": 4.163214581607291,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003683415184314139,
+      "loss": 4.9057,
+      "mean_token_accuracy": 0.19072521328926087,
+      "num_tokens": 9159245.0,
+      "step": 5025
+    },
+    {
+      "entropy": 5.281745195388794,
+      "epoch": 4.167357083678542,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00036805066361746716,
+      "loss": 4.9432,
+      "mean_token_accuracy": 0.19057238101959229,
+      "num_tokens": 9167892.0,
+      "step": 5030
+    },
+    {
+      "entropy": 5.262811374664307,
+      "epoch": 4.1714995857497925,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036775962111016346,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.19675376862287522,
+      "num_tokens": 9176067.0,
+      "step": 5035
+    },
+    {
+      "entropy": 5.335107898712158,
+      "epoch": 4.175642087821044,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036746839149656734,
+      "loss": 4.9032,
+      "mean_token_accuracy": 0.19636716991662978,
+      "num_tokens": 9185318.0,
+      "step": 5040
+    },
+    {
+      "entropy": 5.338614749908447,
+      "epoch": 4.179784589892295,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003671769753641207,
+      "loss": 4.9605,
+      "mean_token_accuracy": 0.19530149400234223,
+      "num_tokens": 9194885.0,
+      "step": 5045
+    },
+    {
+      "entropy": 5.349650192260742,
+      "epoch": 4.183927091963546,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00036688537330064187,
+      "loss": 4.987,
+      "mean_token_accuracy": 0.19436514377593994,
+      "num_tokens": 9203906.0,
+      "step": 5050
+    },
+    {
+      "entropy": 5.318757629394531,
+      "epoch": 4.188069594034797,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000366593585894324,
+      "loss": 4.8507,
+      "mean_token_accuracy": 0.2013680413365364,
+      "num_tokens": 9213351.0,
+      "step": 5055
+    },
+    {
+      "entropy": 5.347932624816894,
+      "epoch": 4.192212096106048,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003663016137337341,
+      "loss": 4.9278,
+      "mean_token_accuracy": 0.18784158080816268,
+      "num_tokens": 9222191.0,
+      "step": 5060
+    },
+    {
+      "entropy": 5.372864198684693,
+      "epoch": 4.196354598177299,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00036600945740781197,
+      "loss": 4.9668,
+      "mean_token_accuracy": 0.1919815331697464,
+      "num_tokens": 9231517.0,
+      "step": 5065
+    },
+    {
+      "entropy": 5.393643712997436,
+      "epoch": 4.20049710024855,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036571711750586896,
+      "loss": 4.9891,
+      "mean_token_accuracy": 0.19960682690143586,
+      "num_tokens": 9241208.0,
+      "step": 5070
+    },
+    {
+      "entropy": 5.391959381103516,
+      "epoch": 4.204639602319801,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003654245946175864,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19324131309986115,
+      "num_tokens": 9250237.0,
+      "step": 5075
+    },
+    {
+      "entropy": 5.37893590927124,
+      "epoch": 4.2087821043910525,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00036513188933301504,
+      "loss": 5.0399,
+      "mean_token_accuracy": 0.18783097416162492,
+      "num_tokens": 9260273.0,
+      "step": 5080
+    },
+    {
+      "entropy": 5.378773164749146,
+      "epoch": 4.212924606462304,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003648390022425734,
+      "loss": 4.8996,
+      "mean_token_accuracy": 0.19140231609344482,
+      "num_tokens": 9268878.0,
+      "step": 5085
+    },
+    {
+      "entropy": 5.325588417053223,
+      "epoch": 4.217067108533554,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003645459339370468,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19706592857837676,
+      "num_tokens": 9276324.0,
+      "step": 5090
+    },
+    {
+      "entropy": 5.312953901290894,
+      "epoch": 4.221209610604805,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036425268500758594,
+      "loss": 4.9725,
+      "mean_token_accuracy": 0.1936806783080101,
+      "num_tokens": 9285052.0,
+      "step": 5095
+    },
+    {
+      "entropy": 5.354986000061035,
+      "epoch": 4.225352112676056,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036395925604570614,
+      "loss": 4.8763,
+      "mean_token_accuracy": 0.20042537599802018,
+      "num_tokens": 9293324.0,
+      "step": 5100
+    },
+    {
+      "entropy": 5.3900477409362795,
+      "epoch": 4.229494614747307,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003636656476432854,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19263672083616257,
+      "num_tokens": 9302131.0,
+      "step": 5105
+    },
+    {
+      "entropy": 5.263408470153808,
+      "epoch": 4.233637116818558,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003633718603925642,
+      "loss": 4.862,
+      "mean_token_accuracy": 0.19388986378908157,
+      "num_tokens": 9311128.0,
+      "step": 5110
+    },
+    {
+      "entropy": 5.420498418807983,
+      "epoch": 4.237779618889809,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0003630778948861434,
+      "loss": 4.9352,
+      "mean_token_accuracy": 0.1895424723625183,
+      "num_tokens": 9319849.0,
+      "step": 5115
+    },
+    {
+      "entropy": 5.336805248260498,
+      "epoch": 4.2419221209610605,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003627837517169836,
+      "loss": 4.9458,
+      "mean_token_accuracy": 0.18560263216495515,
+      "num_tokens": 9328355.0,
+      "step": 5120
+    },
+    {
+      "entropy": 5.352609777450562,
+      "epoch": 4.246064623032312,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003624894314784037,
+      "loss": 4.9236,
+      "mean_token_accuracy": 0.18928787410259246,
+      "num_tokens": 9337562.0,
+      "step": 5125
+    },
+    {
+      "entropy": 5.323793935775757,
+      "epoch": 4.250207125103563,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003621949347640797,
+      "loss": 4.9315,
+      "mean_token_accuracy": 0.196185165643692,
+      "num_tokens": 9347851.0,
+      "step": 5130
+    },
+    {
+      "entropy": 5.398552274703979,
+      "epoch": 4.254349627174814,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003619002621680439,
+      "loss": 4.9325,
+      "mean_token_accuracy": 0.19673411697149276,
+      "num_tokens": 9356524.0,
+      "step": 5135
+    },
+    {
+      "entropy": 5.4241108894348145,
+      "epoch": 4.258492129246065,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003616054142846829,
+      "loss": 5.0307,
+      "mean_token_accuracy": 0.1882170706987381,
+      "num_tokens": 9365521.0,
+      "step": 5140
+    },
+    {
+      "entropy": 5.301144218444824,
+      "epoch": 4.262634631317316,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003613103917087371,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19470559656620026,
+      "num_tokens": 9374088.0,
+      "step": 5145
+    },
+    {
+      "entropy": 5.345515966415405,
+      "epoch": 4.266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003610151950352994,
+      "loss": 4.9794,
+      "mean_token_accuracy": 0.19499585926532745,
+      "num_tokens": 9382683.0,
+      "step": 5150
+    },
+    {
+      "entropy": 5.306409788131714,
+      "epoch": 4.270919635459817,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0003607198248598137,
+      "loss": 4.9063,
+      "mean_token_accuracy": 0.194849793612957,
+      "num_tokens": 9391790.0,
+      "step": 5155
+    },
+    {
+      "entropy": 5.414876556396484,
+      "epoch": 4.2750621375310685,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003604242817780739,
+      "loss": 4.9901,
+      "mean_token_accuracy": 0.19321189671754838,
+      "num_tokens": 9400234.0,
+      "step": 5160
+    },
+    {
+      "entropy": 5.350374364852906,
+      "epoch": 4.27920463960232,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036012856638622273,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19192621409893035,
+      "num_tokens": 9409513.0,
+      "step": 5165
+    },
+    {
+      "entropy": 5.292260932922363,
+      "epoch": 4.283347141673571,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003598326792807504,
+      "loss": 4.9821,
+      "mean_token_accuracy": 0.18258902430534363,
+      "num_tokens": 9418608.0,
+      "step": 5170
+    },
+    {
+      "entropy": 5.427756977081299,
+      "epoch": 4.287489643744822,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00035953662105849357,
+      "loss": 5.0092,
+      "mean_token_accuracy": 0.19452760964632035,
+      "num_tokens": 9428705.0,
+      "step": 5175
+    },
+    {
+      "entropy": 5.3185462474823,
+      "epoch": 4.291632145816073,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000359240392316634,
+      "loss": 4.9177,
+      "mean_token_accuracy": 0.18542011678218842,
+      "num_tokens": 9438149.0,
+      "step": 5180
+    },
+    {
+      "entropy": 5.330511379241943,
+      "epoch": 4.295774647887324,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003589439936526974,
+      "loss": 4.8709,
+      "mean_token_accuracy": 0.19628295600414275,
+      "num_tokens": 9447566.0,
+      "step": 5185
+    },
+    {
+      "entropy": 5.303903436660766,
+      "epoch": 4.299917149958575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003586474256645525,
+      "loss": 4.9641,
+      "mean_token_accuracy": 0.1915314257144928,
+      "num_tokens": 9458156.0,
+      "step": 5190
+    },
+    {
+      "entropy": 5.410308837890625,
+      "epoch": 4.304059652029826,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035835068895040905,
+      "loss": 5.0014,
+      "mean_token_accuracy": 0.19137390553951264,
+      "num_tokens": 9467388.0,
+      "step": 5195
+    },
+    {
+      "entropy": 5.388073253631592,
+      "epoch": 4.308202154101077,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00035805378410881753,
+      "loss": 4.9642,
+      "mean_token_accuracy": 0.1940509021282196,
+      "num_tokens": 9477515.0,
+      "step": 5200
+    },
+    {
+      "entropy": 5.389194107055664,
+      "epoch": 4.312344656172328,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003577567117386675,
+      "loss": 4.9854,
+      "mean_token_accuracy": 0.1937498316168785,
+      "num_tokens": 9485851.0,
+      "step": 5205
+    },
+    {
+      "entropy": 5.377271747589111,
+      "epoch": 4.3164871582435795,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003574594724391863,
+      "loss": 4.9773,
+      "mean_token_accuracy": 0.18631901144981383,
+      "num_tokens": 9495523.0,
+      "step": 5210
+    },
+    {
+      "entropy": 5.303675985336303,
+      "epoch": 4.32062966031483,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003571620668099382,
+      "loss": 4.9104,
+      "mean_token_accuracy": 0.19740363359451293,
+      "num_tokens": 9504195.0,
+      "step": 5215
+    },
+    {
+      "entropy": 5.377063655853272,
+      "epoch": 4.324772162386081,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003568644954508227,
+      "loss": 4.9616,
+      "mean_token_accuracy": 0.1940310388803482,
+      "num_tokens": 9513313.0,
+      "step": 5220
+    },
+    {
+      "entropy": 5.400073862075805,
+      "epoch": 4.328914664457332,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003565667589620739,
+      "loss": 5.0313,
+      "mean_token_accuracy": 0.18615816980600358,
+      "num_tokens": 9522387.0,
+      "step": 5225
+    },
+    {
+      "entropy": 5.380652332305909,
+      "epoch": 4.333057166528583,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003562688579442588,
+      "loss": 4.9582,
+      "mean_token_accuracy": 0.1893748164176941,
+      "num_tokens": 9531522.0,
+      "step": 5230
+    },
+    {
+      "entropy": 5.349949216842651,
+      "epoch": 4.337199668599834,
+      "grad_norm": 1.6171875,
+      "learning_rate": 0.00035597079299827625,
+      "loss": 4.9875,
+      "mean_token_accuracy": 0.18508986830711366,
+      "num_tokens": 9540248.0,
+      "step": 5235
+    },
+    {
+      "entropy": 5.3083008289337155,
+      "epoch": 4.341342170671085,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035567256472535585,
+      "loss": 4.9192,
+      "mean_token_accuracy": 0.19538334757089615,
+      "num_tokens": 9549850.0,
+      "step": 5240
+    },
+    {
+      "entropy": 5.325525283813477,
+      "epoch": 4.345484672742336,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003553741737270566,
+      "loss": 4.9167,
+      "mean_token_accuracy": 0.19581695050001144,
+      "num_tokens": 9558929.0,
+      "step": 5245
+    },
+    {
+      "entropy": 5.291470670700074,
+      "epoch": 4.3496271748135875,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00035507562060526574,
+      "loss": 4.9163,
+      "mean_token_accuracy": 0.19085376411676408,
+      "num_tokens": 9567627.0,
+      "step": 5250
+    },
+    {
+      "entropy": 5.419774055480957,
+      "epoch": 4.353769676884839,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035477690596219763,
+      "loss": 5.0513,
+      "mean_token_accuracy": 0.18172826021909713,
+      "num_tokens": 9576223.0,
+      "step": 5255
+    },
+    {
+      "entropy": 5.422041416168213,
+      "epoch": 4.35791217895609,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00035447803040039225,
+      "loss": 5.0178,
+      "mean_token_accuracy": 0.1885324940085411,
+      "num_tokens": 9585510.0,
+      "step": 5260
+    },
+    {
+      "entropy": 5.344962453842163,
+      "epoch": 4.362054681027341,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003541789945227143,
+      "loss": 4.9361,
+      "mean_token_accuracy": 0.1920488640666008,
+      "num_tokens": 9594843.0,
+      "step": 5265
+    },
+    {
+      "entropy": 5.401527786254883,
+      "epoch": 4.366197183098592,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00035387979893235184,
+      "loss": 4.9467,
+      "mean_token_accuracy": 0.19816664457321168,
+      "num_tokens": 9604142.0,
+      "step": 5270
+    },
+    {
+      "entropy": 5.339557313919068,
+      "epoch": 4.370339685169842,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003535804442328151,
+      "loss": 4.994,
+      "mean_token_accuracy": 0.197935588657856,
+      "num_tokens": 9613669.0,
+      "step": 5275
+    },
+    {
+      "entropy": 5.395236444473267,
+      "epoch": 4.374482187241093,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00035328093102793506,
+      "loss": 4.9843,
+      "mean_token_accuracy": 0.19234263002872468,
+      "num_tokens": 9623502.0,
+      "step": 5280
+    },
+    {
+      "entropy": 5.377492380142212,
+      "epoch": 4.378624689312344,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035298125992186283,
+      "loss": 4.9784,
+      "mean_token_accuracy": 0.1910512089729309,
+      "num_tokens": 9632041.0,
+      "step": 5285
+    },
+    {
+      "entropy": 5.310422706604004,
+      "epoch": 4.3827671913835955,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00035268143151906764,
+      "loss": 4.9853,
+      "mean_token_accuracy": 0.18939480930566788,
+      "num_tokens": 9641442.0,
+      "step": 5290
+    },
+    {
+      "entropy": 5.356794643402099,
+      "epoch": 4.386909693454847,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00035238144642433616,
+      "loss": 4.956,
+      "mean_token_accuracy": 0.19045386761426925,
+      "num_tokens": 9650857.0,
+      "step": 5295
+    },
+    {
+      "entropy": 5.461606073379516,
+      "epoch": 4.391052195526098,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000352081305242771,
+      "loss": 4.9906,
+      "mean_token_accuracy": 0.1938766911625862,
+      "num_tokens": 9659173.0,
+      "step": 5300
+    },
+    {
+      "entropy": 5.355851411819458,
+      "epoch": 4.395194697597349,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035178100857978994,
+      "loss": 4.9344,
+      "mean_token_accuracy": 0.19574909955263137,
+      "num_tokens": 9668114.0,
+      "step": 5305
+    },
+    {
+      "entropy": 5.261717939376831,
+      "epoch": 4.3993371996686,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00035148055704112405,
+      "loss": 4.9927,
+      "mean_token_accuracy": 0.1930756837129593,
+      "num_tokens": 9676628.0,
+      "step": 5310
+    },
+    {
+      "entropy": 5.305881071090698,
+      "epoch": 4.403479701739851,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003511799512328168,
+      "loss": 4.8897,
+      "mean_token_accuracy": 0.19723279178142547,
+      "num_tokens": 9685801.0,
+      "step": 5315
+    },
+    {
+      "entropy": 5.3678816795349125,
+      "epoch": 4.407622203811102,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003508791917612232,
+      "loss": 4.9677,
+      "mean_token_accuracy": 0.18847441226243972,
+      "num_tokens": 9694237.0,
+      "step": 5320
+    },
+    {
+      "entropy": 5.357159948348999,
+      "epoch": 4.411764705882353,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00035057827923300785,
+      "loss": 4.887,
+      "mean_token_accuracy": 0.1993523895740509,
+      "num_tokens": 9701904.0,
+      "step": 5325
+    },
+    {
+      "entropy": 5.308569765090942,
+      "epoch": 4.415907207953604,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035027721425514414,
+      "loss": 4.8661,
+      "mean_token_accuracy": 0.20139306634664536,
+      "num_tokens": 9710784.0,
+      "step": 5330
+    },
+    {
+      "entropy": 5.310255718231201,
+      "epoch": 4.4200497100248555,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003499759974349131,
+      "loss": 4.9969,
+      "mean_token_accuracy": 0.19186950027942656,
+      "num_tokens": 9720452.0,
+      "step": 5335
+    },
+    {
+      "entropy": 5.335639381408692,
+      "epoch": 4.424192212096106,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00034967462937990194,
+      "loss": 4.9619,
+      "mean_token_accuracy": 0.18502581119537354,
+      "num_tokens": 9729122.0,
+      "step": 5340
+    },
+    {
+      "entropy": 5.414971780776978,
+      "epoch": 4.428334714167357,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000349373110698003,
+      "loss": 5.0216,
+      "mean_token_accuracy": 0.18420466929674148,
+      "num_tokens": 9738756.0,
+      "step": 5345
+    },
+    {
+      "entropy": 5.406450796127319,
+      "epoch": 4.432477216238608,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003490714419974124,
+      "loss": 5.0113,
+      "mean_token_accuracy": 0.1904602199792862,
+      "num_tokens": 9748547.0,
+      "step": 5350
+    },
+    {
+      "entropy": 5.358873558044434,
+      "epoch": 4.436619718309859,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034876962388662885,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.18162461519241332,
+      "num_tokens": 9758421.0,
+      "step": 5355
+    },
+    {
+      "entropy": 5.277571201324463,
+      "epoch": 4.44076222038111,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003484676569744525,
+      "loss": 4.8563,
+      "mean_token_accuracy": 0.19333565086126328,
+      "num_tokens": 9766855.0,
+      "step": 5360
+    },
+    {
+      "entropy": 5.348770189285278,
+      "epoch": 4.444904722452361,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003481655418699836,
+      "loss": 4.9589,
+      "mean_token_accuracy": 0.1960444375872612,
+      "num_tokens": 9776157.0,
+      "step": 5365
+    },
+    {
+      "entropy": 5.279411029815674,
+      "epoch": 4.449047224523612,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00034786327918262126,
+      "loss": 4.8489,
+      "mean_token_accuracy": 0.2087496116757393,
+      "num_tokens": 9784386.0,
+      "step": 5370
+    },
+    {
+      "entropy": 5.354473733901978,
+      "epoch": 4.4531897265948635,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00034756086952206255,
+      "loss": 4.9009,
+      "mean_token_accuracy": 0.1958460658788681,
+      "num_tokens": 9793838.0,
+      "step": 5375
+    },
+    {
+      "entropy": 5.353402185440063,
+      "epoch": 4.457332228666115,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003472583134983005,
+      "loss": 4.9971,
+      "mean_token_accuracy": 0.19221619367599488,
+      "num_tokens": 9802595.0,
+      "step": 5380
+    },
+    {
+      "entropy": 5.384884357452393,
+      "epoch": 4.461474730737366,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00034695561172162396,
+      "loss": 4.9775,
+      "mean_token_accuracy": 0.19024742841720582,
+      "num_tokens": 9811309.0,
+      "step": 5385
+    },
+    {
+      "entropy": 5.2829090595245365,
+      "epoch": 4.465617232808617,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00034665276480261526,
+      "loss": 4.9139,
+      "mean_token_accuracy": 0.1915873184800148,
+      "num_tokens": 9820327.0,
+      "step": 5390
+    },
+    {
+      "entropy": 5.351649951934815,
+      "epoch": 4.469759734879867,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003463497733521499,
+      "loss": 4.9852,
+      "mean_token_accuracy": 0.18354866653680801,
+      "num_tokens": 9829588.0,
+      "step": 5395
+    },
+    {
+      "entropy": 5.42580213546753,
+      "epoch": 4.473902236951118,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003460466379813947,
+      "loss": 4.9887,
+      "mean_token_accuracy": 0.18973219394683838,
+      "num_tokens": 9838548.0,
+      "step": 5400
+    },
+    {
+      "entropy": 5.335280847549439,
+      "epoch": 4.478044739022369,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003457433593018068,
+      "loss": 5.0018,
+      "mean_token_accuracy": 0.18838239908218385,
+      "num_tokens": 9847925.0,
+      "step": 5405
+    },
+    {
+      "entropy": 5.396121597290039,
+      "epoch": 4.48218724109362,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034543993792513243,
+      "loss": 5.0169,
+      "mean_token_accuracy": 0.18753209412097932,
+      "num_tokens": 9856839.0,
+      "step": 5410
+    },
+    {
+      "entropy": 5.37349534034729,
+      "epoch": 4.486329743164871,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003451363744634057,
+      "loss": 4.978,
+      "mean_token_accuracy": 0.19382779747247697,
+      "num_tokens": 9866519.0,
+      "step": 5415
+    },
+    {
+      "entropy": 5.430073976516724,
+      "epoch": 4.4904722452361225,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00034483266952894725,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.19110478311777115,
+      "num_tokens": 9876866.0,
+      "step": 5420
+    },
+    {
+      "entropy": 5.440963220596314,
+      "epoch": 4.494614747307374,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0003445288237343632,
+      "loss": 5.0042,
+      "mean_token_accuracy": 0.1870105817914009,
+      "num_tokens": 9884639.0,
+      "step": 5425
+    },
+    {
+      "entropy": 5.332541465759277,
+      "epoch": 4.498757249378625,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003442248376925436,
+      "loss": 4.9715,
+      "mean_token_accuracy": 0.1879585549235344,
+      "num_tokens": 9893819.0,
+      "step": 5430
+    },
+    {
+      "entropy": 5.251445341110229,
+      "epoch": 4.502899751449876,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00034392071201666167,
+      "loss": 4.9164,
+      "mean_token_accuracy": 0.19130610078573226,
+      "num_tokens": 9902419.0,
+      "step": 5435
+    },
+    {
+      "entropy": 5.390727472305298,
+      "epoch": 4.507042253521127,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000343616447320172,
+      "loss": 4.9565,
+      "mean_token_accuracy": 0.19780462980270386,
+      "num_tokens": 9912434.0,
+      "step": 5440
+    },
+    {
+      "entropy": 5.366470289230347,
+      "epoch": 4.511184755592378,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003433120442168097,
+      "loss": 4.9114,
+      "mean_token_accuracy": 0.193550705909729,
+      "num_tokens": 9921800.0,
+      "step": 5445
+    },
+    {
+      "entropy": 5.316132354736328,
+      "epoch": 4.515327257663629,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034300750332058924,
+      "loss": 4.9803,
+      "mean_token_accuracy": 0.18861733824014665,
+      "num_tokens": 9930863.0,
+      "step": 5450
+    },
+    {
+      "entropy": 5.340768337249756,
+      "epoch": 4.51946975973488,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003427028252458028,
+      "loss": 4.995,
+      "mean_token_accuracy": 0.1959969326853752,
+      "num_tokens": 9940524.0,
+      "step": 5455
+    },
+    {
+      "entropy": 5.398335361480713,
+      "epoch": 4.5236122618061305,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.0003423980106070194,
+      "loss": 4.98,
+      "mean_token_accuracy": 0.18993111699819565,
+      "num_tokens": 9948949.0,
+      "step": 5460
+    },
+    {
+      "entropy": 5.363409519195557,
+      "epoch": 4.527754763877382,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003420930600190834,
+      "loss": 5.0007,
+      "mean_token_accuracy": 0.18487946093082427,
+      "num_tokens": 9958154.0,
+      "step": 5465
+    },
+    {
+      "entropy": 5.353360748291015,
+      "epoch": 4.531897265948633,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003417879740971135,
+      "loss": 4.8917,
+      "mean_token_accuracy": 0.19643958359956742,
+      "num_tokens": 9967023.0,
+      "step": 5470
+    },
+    {
+      "entropy": 5.392623519897461,
+      "epoch": 4.536039768019884,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003414827534565014,
+      "loss": 4.9908,
+      "mean_token_accuracy": 0.18982938379049302,
+      "num_tokens": 9976596.0,
+      "step": 5475
+    },
+    {
+      "entropy": 5.358148193359375,
+      "epoch": 4.540182270091135,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00034117739871291036,
+      "loss": 4.8992,
+      "mean_token_accuracy": 0.19934887886047364,
+      "num_tokens": 9985330.0,
+      "step": 5480
+    },
+    {
+      "entropy": 5.35659613609314,
+      "epoch": 4.544324772162386,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00034087191048227445,
+      "loss": 5.032,
+      "mean_token_accuracy": 0.1861831620335579,
+      "num_tokens": 9996053.0,
+      "step": 5485
+    },
+    {
+      "entropy": 5.335864496231079,
+      "epoch": 4.548467274233637,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003405662893807967,
+      "loss": 4.9445,
+      "mean_token_accuracy": 0.1877502605319023,
+      "num_tokens": 10005517.0,
+      "step": 5490
+    },
+    {
+      "entropy": 5.389253044128418,
+      "epoch": 4.552609776304888,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003402605360249482,
+      "loss": 5.0416,
+      "mean_token_accuracy": 0.18830080330371857,
+      "num_tokens": 10014354.0,
+      "step": 5495
+    },
+    {
+      "entropy": 5.3128773212432865,
+      "epoch": 4.556752278376139,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000339954651031467,
+      "loss": 4.9238,
+      "mean_token_accuracy": 0.19178629368543626,
+      "num_tokens": 10023194.0,
+      "step": 5500
+    },
+    {
+      "epoch": 4.556752278376139,
+      "eval_entropy": 5.195640559898003,
+      "eval_loss": 5.80400276184082,
+      "eval_mean_token_accuracy": 0.15982486544323882,
+      "eval_num_tokens": 10023194.0,
+      "eval_runtime": 2.7416,
+      "eval_samples_per_second": 1366.696,
+      "eval_steps_per_second": 171.065,
+      "step": 5500
+    },
+    {
+      "entropy": 5.267048501968384,
+      "epoch": 4.5608947804473905,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00033964863501735647,
+      "loss": 4.9188,
+      "mean_token_accuracy": 0.19228280782699586,
+      "num_tokens": 10032490.0,
+      "step": 5505
+    },
+    {
+      "entropy": 5.392655229568481,
+      "epoch": 4.565037282518642,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00033934248859988453,
+      "loss": 4.9346,
+      "mean_token_accuracy": 0.19580908715724946,
+      "num_tokens": 10041613.0,
+      "step": 5510
+    },
+    {
+      "entropy": 5.262086534500122,
+      "epoch": 4.569179784589892,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003390362123965817,
+      "loss": 4.8733,
+      "mean_token_accuracy": 0.1911102056503296,
+      "num_tokens": 10050500.0,
+      "step": 5515
+    },
+    {
+      "entropy": 5.36342945098877,
+      "epoch": 4.573322286661144,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003387298070252407,
+      "loss": 4.9492,
+      "mean_token_accuracy": 0.1935834139585495,
+      "num_tokens": 10059650.0,
+      "step": 5520
+    },
+    {
+      "entropy": 5.337366104125977,
+      "epoch": 4.577464788732394,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003384232731039146,
+      "loss": 4.9844,
+      "mean_token_accuracy": 0.19709572941064835,
+      "num_tokens": 10067882.0,
+      "step": 5525
+    },
+    {
+      "entropy": 5.300627326965332,
+      "epoch": 4.581607290803645,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00033811661125091584,
+      "loss": 4.9253,
+      "mean_token_accuracy": 0.19670316576957703,
+      "num_tokens": 10077147.0,
+      "step": 5530
+    },
+    {
+      "entropy": 5.369974613189697,
+      "epoch": 4.585749792874896,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00033780982208481494,
+      "loss": 4.9829,
+      "mean_token_accuracy": 0.1897311642765999,
+      "num_tokens": 10086149.0,
+      "step": 5535
+    },
+    {
+      "entropy": 5.303711175918579,
+      "epoch": 4.589892294946147,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003375029062244392,
+      "loss": 4.9027,
+      "mean_token_accuracy": 0.20062701553106307,
+      "num_tokens": 10094997.0,
+      "step": 5540
+    },
+    {
+      "entropy": 5.461194086074829,
+      "epoch": 4.5940347970173985,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00033719586428887125,
+      "loss": 4.9635,
+      "mean_token_accuracy": 0.19236611425876618,
+      "num_tokens": 10103585.0,
+      "step": 5545
+    },
+    {
+      "entropy": 5.276572418212891,
+      "epoch": 4.59817729908865,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00033688869689744836,
+      "loss": 4.8715,
+      "mean_token_accuracy": 0.1956779330968857,
+      "num_tokens": 10113877.0,
+      "step": 5550
+    },
+    {
+      "entropy": 5.333914184570313,
+      "epoch": 4.602319801159901,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003365814046697608,
+      "loss": 4.9676,
+      "mean_token_accuracy": 0.1832288920879364,
+      "num_tokens": 10123127.0,
+      "step": 5555
+    },
+    {
+      "entropy": 5.39079098701477,
+      "epoch": 4.606462303231152,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003362739882256504,
+      "loss": 5.0347,
+      "mean_token_accuracy": 0.186669659614563,
+      "num_tokens": 10132301.0,
+      "step": 5560
+    },
+    {
+      "entropy": 5.369095230102539,
+      "epoch": 4.610604805302403,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0003359664481852099,
+      "loss": 5.0411,
+      "mean_token_accuracy": 0.18307175636291503,
+      "num_tokens": 10140985.0,
+      "step": 5565
+    },
+    {
+      "entropy": 5.309534072875977,
+      "epoch": 4.614747307373654,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00033565878516878103,
+      "loss": 4.9435,
+      "mean_token_accuracy": 0.186006298661232,
+      "num_tokens": 10149668.0,
+      "step": 5570
+    },
+    {
+      "entropy": 5.324404716491699,
+      "epoch": 4.618889809444905,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0003353509997969537,
+      "loss": 4.9982,
+      "mean_token_accuracy": 0.1883559986948967,
+      "num_tokens": 10158584.0,
+      "step": 5575
+    },
+    {
+      "entropy": 5.366722822189331,
+      "epoch": 4.623032311516155,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00033504309269056484,
+      "loss": 4.968,
+      "mean_token_accuracy": 0.19045166224241256,
+      "num_tokens": 10167657.0,
+      "step": 5580
+    },
+    {
+      "entropy": 5.274179601669312,
+      "epoch": 4.6271748135874065,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003347350644706965,
+      "loss": 4.8462,
+      "mean_token_accuracy": 0.1975993499159813,
+      "num_tokens": 10176657.0,
+      "step": 5585
+    },
+    {
+      "entropy": 5.3866353034973145,
+      "epoch": 4.631317315658658,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003344269157586754,
+      "loss": 4.9669,
+      "mean_token_accuracy": 0.19621438384056092,
+      "num_tokens": 10185132.0,
+      "step": 5590
+    },
+    {
+      "entropy": 5.304204607009888,
+      "epoch": 4.635459817729909,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00033411864717607114,
+      "loss": 4.8497,
+      "mean_token_accuracy": 0.19386404007673264,
+      "num_tokens": 10193428.0,
+      "step": 5595
+    },
+    {
+      "entropy": 5.324200677871704,
+      "epoch": 4.63960231980116,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0003338102593446951,
+      "loss": 5.0163,
+      "mean_token_accuracy": 0.18838184028863908,
+      "num_tokens": 10202549.0,
+      "step": 5600
+    },
+    {
+      "entropy": 5.341615533828735,
+      "epoch": 4.643744821872411,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00033350175288659925,
+      "loss": 4.8885,
+      "mean_token_accuracy": 0.1946927636861801,
+      "num_tokens": 10211161.0,
+      "step": 5605
+    },
+    {
+      "entropy": 5.309947538375854,
+      "epoch": 4.647887323943662,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00033319312842407483,
+      "loss": 4.9923,
+      "mean_token_accuracy": 0.18832400739192962,
+      "num_tokens": 10220988.0,
+      "step": 5610
+    },
+    {
+      "entropy": 5.2807288646698,
+      "epoch": 4.652029826014913,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003328843865796511,
+      "loss": 4.8873,
+      "mean_token_accuracy": 0.19748056083917617,
+      "num_tokens": 10229383.0,
+      "step": 5615
+    },
+    {
+      "entropy": 5.421126461029052,
+      "epoch": 4.656172328086164,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033257552797609426,
+      "loss": 4.9686,
+      "mean_token_accuracy": 0.18525946289300918,
+      "num_tokens": 10238622.0,
+      "step": 5620
+    },
+    {
+      "entropy": 5.506065034866333,
+      "epoch": 4.660314830157415,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00033226655323640553,
+      "loss": 5.0677,
+      "mean_token_accuracy": 0.18611674308776854,
+      "num_tokens": 10248201.0,
+      "step": 5625
+    },
+    {
+      "entropy": 5.445924186706543,
+      "epoch": 4.664457332228666,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000331957462983821,
+      "loss": 5.0837,
+      "mean_token_accuracy": 0.17612475752830506,
+      "num_tokens": 10258239.0,
+      "step": 5630
+    },
+    {
+      "entropy": 5.377671623229981,
+      "epoch": 4.668599834299917,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0003316482578418094,
+      "loss": 4.9675,
+      "mean_token_accuracy": 0.1935265153646469,
+      "num_tokens": 10266915.0,
+      "step": 5635
+    },
+    {
+      "entropy": 5.348722076416015,
+      "epoch": 4.672742336371169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00033133893843407126,
+      "loss": 5.0783,
+      "mean_token_accuracy": 0.18859633952379226,
+      "num_tokens": 10276826.0,
+      "step": 5640
+    },
+    {
+      "entropy": 5.327623510360718,
+      "epoch": 4.676884838442419,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00033102950538453776,
+      "loss": 4.9912,
+      "mean_token_accuracy": 0.19163501411676406,
+      "num_tokens": 10286041.0,
+      "step": 5645
+    },
+    {
+      "entropy": 5.367205619812012,
+      "epoch": 4.68102734051367,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00033071995931736897,
+      "loss": 5.0151,
+      "mean_token_accuracy": 0.19023409783840178,
+      "num_tokens": 10295258.0,
+      "step": 5650
+    },
+    {
+      "entropy": 5.404719638824463,
+      "epoch": 4.685169842584921,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00033041030085695323,
+      "loss": 4.9423,
+      "mean_token_accuracy": 0.19237637221813203,
+      "num_tokens": 10304726.0,
+      "step": 5655
+    },
+    {
+      "entropy": 5.34141435623169,
+      "epoch": 4.689312344656172,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003301005306279055,
+      "loss": 4.8745,
+      "mean_token_accuracy": 0.2018929526209831,
+      "num_tokens": 10312912.0,
+      "step": 5660
+    },
+    {
+      "entropy": 5.300086307525635,
+      "epoch": 4.693454846727423,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00032979064925506627,
+      "loss": 4.9743,
+      "mean_token_accuracy": 0.18896473944187164,
+      "num_tokens": 10322046.0,
+      "step": 5665
+    },
+    {
+      "entropy": 5.290521335601807,
+      "epoch": 4.697597348798674,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003294806573634999,
+      "loss": 4.9263,
+      "mean_token_accuracy": 0.206088125705719,
+      "num_tokens": 10331375.0,
+      "step": 5670
+    },
+    {
+      "entropy": 5.353716802597046,
+      "epoch": 4.7017398508699255,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003291705555784942,
+      "loss": 5.0624,
+      "mean_token_accuracy": 0.18850265592336654,
+      "num_tokens": 10341465.0,
+      "step": 5675
+    },
+    {
+      "entropy": 5.466339874267578,
+      "epoch": 4.705882352941177,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00032886034452555814,
+      "loss": 5.052,
+      "mean_token_accuracy": 0.18991907685995102,
+      "num_tokens": 10350137.0,
+      "step": 5680
+    },
+    {
+      "entropy": 5.3118266582489015,
+      "epoch": 4.710024855012428,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003285500248304214,
+      "loss": 4.9502,
+      "mean_token_accuracy": 0.1877942368388176,
+      "num_tokens": 10358666.0,
+      "step": 5685
+    },
+    {
+      "entropy": 5.319189500808716,
+      "epoch": 4.714167357083679,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003282395971190328,
+      "loss": 4.8375,
+      "mean_token_accuracy": 0.19829211980104447,
+      "num_tokens": 10366910.0,
+      "step": 5690
+    },
+    {
+      "entropy": 5.377291250228882,
+      "epoch": 4.71830985915493,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032792906201755876,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19080002307891847,
+      "num_tokens": 10376435.0,
+      "step": 5695
+    },
+    {
+      "entropy": 5.293179368972778,
+      "epoch": 4.72245236122618,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00032761842015238256,
+      "loss": 4.8965,
+      "mean_token_accuracy": 0.2024861231446266,
+      "num_tokens": 10384670.0,
+      "step": 5700
+    },
+    {
+      "entropy": 5.261117172241211,
+      "epoch": 4.726594863297431,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003273076721501029,
+      "loss": 4.8845,
+      "mean_token_accuracy": 0.1939824104309082,
+      "num_tokens": 10393731.0,
+      "step": 5705
+    },
+    {
+      "entropy": 5.386179351806641,
+      "epoch": 4.730737365368682,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003269968186375325,
+      "loss": 4.9916,
+      "mean_token_accuracy": 0.19829274713993073,
+      "num_tokens": 10402369.0,
+      "step": 5710
+    },
+    {
+      "entropy": 5.379951667785645,
+      "epoch": 4.7348798674399335,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003266858602416967,
+      "loss": 4.9801,
+      "mean_token_accuracy": 0.1936841771006584,
+      "num_tokens": 10411566.0,
+      "step": 5715
+    },
+    {
+      "entropy": 5.384341192245484,
+      "epoch": 4.739022369511185,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032637479758983255,
+      "loss": 5.0294,
+      "mean_token_accuracy": 0.18491634279489516,
+      "num_tokens": 10420086.0,
+      "step": 5720
+    },
+    {
+      "entropy": 5.409085655212403,
+      "epoch": 4.743164871582436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00032606363130938766,
+      "loss": 5.0704,
+      "mean_token_accuracy": 0.18897949457168578,
+      "num_tokens": 10429746.0,
+      "step": 5725
+    },
+    {
+      "entropy": 5.349277639389038,
+      "epoch": 4.747307373653687,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0003257523620280181,
+      "loss": 4.9498,
+      "mean_token_accuracy": 0.19129680693149567,
+      "num_tokens": 10438536.0,
+      "step": 5730
+    },
+    {
+      "entropy": 5.348873805999756,
+      "epoch": 4.751449875724938,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00032544099037358834,
+      "loss": 4.9497,
+      "mean_token_accuracy": 0.19692206382751465,
+      "num_tokens": 10447471.0,
+      "step": 5735
+    },
+    {
+      "entropy": 5.33362455368042,
+      "epoch": 4.755592377796189,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003251295169741688,
+      "loss": 4.962,
+      "mean_token_accuracy": 0.1995266228914261,
+      "num_tokens": 10457179.0,
+      "step": 5740
+    },
+    {
+      "entropy": 5.327010250091552,
+      "epoch": 4.75973487986744,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00032481794245803536,
+      "loss": 5.0295,
+      "mean_token_accuracy": 0.18461760133504868,
+      "num_tokens": 10466291.0,
+      "step": 5745
+    },
+    {
+      "entropy": 5.323912620544434,
+      "epoch": 4.763877381938691,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00032450626745366806,
+      "loss": 4.9102,
+      "mean_token_accuracy": 0.19402227252721788,
+      "num_tokens": 10475452.0,
+      "step": 5750
+    },
+    {
+      "entropy": 5.306818199157715,
+      "epoch": 4.768019884009942,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00032419449258974924,
+      "loss": 4.8753,
+      "mean_token_accuracy": 0.20045212656259537,
+      "num_tokens": 10484381.0,
+      "step": 5755
+    },
+    {
+      "entropy": 5.342190933227539,
+      "epoch": 4.7721623860811935,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000323882618495163,
+      "loss": 5.0665,
+      "mean_token_accuracy": 0.1831491023302078,
+      "num_tokens": 10495132.0,
+      "step": 5760
+    },
+    {
+      "entropy": 5.351349258422852,
+      "epoch": 4.776304888152444,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003235706457989934,
+      "loss": 5.0246,
+      "mean_token_accuracy": 0.1850237250328064,
+      "num_tokens": 10504519.0,
+      "step": 5765
+    },
+    {
+      "entropy": 5.387107896804809,
+      "epoch": 4.780447390223695,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032325857513052354,
+      "loss": 4.9654,
+      "mean_token_accuracy": 0.19212980419397355,
+      "num_tokens": 10513575.0,
+      "step": 5770
+    },
+    {
+      "entropy": 5.396086692810059,
+      "epoch": 4.784589892294946,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000322946407119234,
+      "loss": 5.0554,
+      "mean_token_accuracy": 0.18998173326253892,
+      "num_tokens": 10522148.0,
+      "step": 5775
+    },
+    {
+      "entropy": 5.361077404022216,
+      "epoch": 4.788732394366197,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032263414239480187,
+      "loss": 4.9891,
+      "mean_token_accuracy": 0.18589809089899062,
+      "num_tokens": 10531183.0,
+      "step": 5780
+    },
+    {
+      "entropy": 5.342947483062744,
+      "epoch": 4.792874896437448,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.000322321781587099,
+      "loss": 4.9298,
+      "mean_token_accuracy": 0.19391343146562576,
+      "num_tokens": 10540677.0,
+      "step": 5785
+    },
+    {
+      "entropy": 5.276329088211059,
+      "epoch": 4.797017398508699,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003220093253261915,
+      "loss": 4.9342,
+      "mean_token_accuracy": 0.18589555770158767,
+      "num_tokens": 10550009.0,
+      "step": 5790
+    },
+    {
+      "entropy": 5.315787076950073,
+      "epoch": 4.80115990057995,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003216967742423377,
+      "loss": 4.9621,
+      "mean_token_accuracy": 0.19312297254800798,
+      "num_tokens": 10559694.0,
+      "step": 5795
+    },
+    {
+      "entropy": 5.339448022842407,
+      "epoch": 4.8053024026512015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003213841289659872,
+      "loss": 4.9613,
+      "mean_token_accuracy": 0.20080769211053848,
+      "num_tokens": 10567965.0,
+      "step": 5800
+    },
+    {
+      "entropy": 5.312955284118653,
+      "epoch": 4.809444904722453,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003210713901277799,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.19690640568733214,
+      "num_tokens": 10577653.0,
+      "step": 5805
+    },
+    {
+      "entropy": 5.359428977966308,
+      "epoch": 4.813587406793704,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000320758558358544,
+      "loss": 4.9728,
+      "mean_token_accuracy": 0.18951950818300248,
+      "num_tokens": 10586903.0,
+      "step": 5810
+    },
+    {
+      "entropy": 5.302858638763428,
+      "epoch": 4.817729908864955,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003204456342892955,
+      "loss": 4.8829,
+      "mean_token_accuracy": 0.19500194638967513,
+      "num_tokens": 10595411.0,
+      "step": 5815
+    },
+    {
+      "entropy": 5.321697616577149,
+      "epoch": 4.821872410936205,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00032013261855123637,
+      "loss": 4.9475,
+      "mean_token_accuracy": 0.1907385230064392,
+      "num_tokens": 10604147.0,
+      "step": 5820
+    },
+    {
+      "entropy": 5.368891286849975,
+      "epoch": 4.826014913007457,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00031981951177575366,
+      "loss": 5.0445,
+      "mean_token_accuracy": 0.1850367307662964,
+      "num_tokens": 10614048.0,
+      "step": 5825
+    },
+    {
+      "entropy": 5.374803781509399,
+      "epoch": 4.830157415078707,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003195063145944178,
+      "loss": 5.0779,
+      "mean_token_accuracy": 0.18388603180646895,
+      "num_tokens": 10623399.0,
+      "step": 5830
+    },
+    {
+      "entropy": 5.389354228973389,
+      "epoch": 4.834299917149958,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003191930276389819,
+      "loss": 4.9183,
+      "mean_token_accuracy": 0.19506800919771194,
+      "num_tokens": 10632627.0,
+      "step": 5835
+    },
+    {
+      "entropy": 5.401239061355591,
+      "epoch": 4.838442419221209,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00031887965154137987,
+      "loss": 4.9726,
+      "mean_token_accuracy": 0.1816769301891327,
+      "num_tokens": 10641155.0,
+      "step": 5840
+    },
+    {
+      "entropy": 5.354168939590454,
+      "epoch": 4.8425849212924605,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003185661869337255,
+      "loss": 5.0118,
+      "mean_token_accuracy": 0.18452974855899812,
+      "num_tokens": 10649661.0,
+      "step": 5845
+    },
+    {
+      "entropy": 5.265790605545044,
+      "epoch": 4.846727423363712,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00031825263444831137,
+      "loss": 4.9151,
+      "mean_token_accuracy": 0.19235364347696304,
+      "num_tokens": 10658652.0,
+      "step": 5850
+    },
+    {
+      "entropy": 5.3790277481079105,
+      "epoch": 4.850869925434963,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003179389947176069,
+      "loss": 5.0445,
+      "mean_token_accuracy": 0.1886226385831833,
+      "num_tokens": 10668703.0,
+      "step": 5855
+    },
+    {
+      "entropy": 5.385872554779053,
+      "epoch": 4.855012427506214,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003176252683742578,
+      "loss": 4.9484,
+      "mean_token_accuracy": 0.19056980460882186,
+      "num_tokens": 10677740.0,
+      "step": 5860
+    },
+    {
+      "entropy": 5.347926044464112,
+      "epoch": 4.859154929577465,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003173114560510843,
+      "loss": 4.9447,
+      "mean_token_accuracy": 0.18929830342531204,
+      "num_tokens": 10686429.0,
+      "step": 5865
+    },
+    {
+      "entropy": 5.332098054885864,
+      "epoch": 4.863297431648716,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00031699755838108027,
+      "loss": 5.0442,
+      "mean_token_accuracy": 0.1941297546029091,
+      "num_tokens": 10696367.0,
+      "step": 5870
+    },
+    {
+      "entropy": 5.310936546325683,
+      "epoch": 4.867439933719967,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003166835759974115,
+      "loss": 4.9902,
+      "mean_token_accuracy": 0.1873769447207451,
+      "num_tokens": 10705712.0,
+      "step": 5875
+    },
+    {
+      "entropy": 5.371630382537842,
+      "epoch": 4.871582435791218,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031636950953341486,
+      "loss": 5.0345,
+      "mean_token_accuracy": 0.18638068735599517,
+      "num_tokens": 10715897.0,
+      "step": 5880
+    },
+    {
+      "entropy": 5.3334348678588865,
+      "epoch": 4.8757249378624685,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00031605535962259666,
+      "loss": 4.9268,
+      "mean_token_accuracy": 0.1887778237462044,
+      "num_tokens": 10724810.0,
+      "step": 5885
+    },
+    {
+      "entropy": 5.353308916091919,
+      "epoch": 4.87986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003157411268986316,
+      "loss": 4.9771,
+      "mean_token_accuracy": 0.1932398796081543,
+      "num_tokens": 10734661.0,
+      "step": 5890
+    },
+    {
+      "entropy": 5.287876415252685,
+      "epoch": 4.884009942004971,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003154268119953615,
+      "loss": 4.9586,
+      "mean_token_accuracy": 0.19356854259967804,
+      "num_tokens": 10743642.0,
+      "step": 5895
+    },
+    {
+      "entropy": 5.344345998764038,
+      "epoch": 4.888152444076222,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003151124155467938,
+      "loss": 4.9607,
+      "mean_token_accuracy": 0.19625648856163025,
+      "num_tokens": 10752812.0,
+      "step": 5900
+    },
+    {
+      "entropy": 5.3407337188720705,
+      "epoch": 4.892294946147473,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00031479793818710056,
+      "loss": 4.9983,
+      "mean_token_accuracy": 0.18306475579738618,
+      "num_tokens": 10762117.0,
+      "step": 5905
+    },
+    {
+      "entropy": 5.299752902984619,
+      "epoch": 4.896437448218724,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031448338055061685,
+      "loss": 4.9018,
+      "mean_token_accuracy": 0.19901909530162812,
+      "num_tokens": 10771515.0,
+      "step": 5910
+    },
+    {
+      "entropy": 5.309285831451416,
+      "epoch": 4.900579950289975,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00031416874327183994,
+      "loss": 4.9486,
+      "mean_token_accuracy": 0.19302618503570557,
+      "num_tokens": 10780610.0,
+      "step": 5915
+    },
+    {
+      "entropy": 5.22410569190979,
+      "epoch": 4.904722452361226,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031385402698542753,
+      "loss": 4.9151,
+      "mean_token_accuracy": 0.19276074767112733,
+      "num_tokens": 10789169.0,
+      "step": 5920
+    },
+    {
+      "entropy": 5.30161485671997,
+      "epoch": 4.908864954432477,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031353923232619674,
+      "loss": 4.9078,
+      "mean_token_accuracy": 0.19779694378376006,
+      "num_tokens": 10798636.0,
+      "step": 5925
+    },
+    {
+      "entropy": 5.3571271896362305,
+      "epoch": 4.9130074565037285,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003132243599291229,
+      "loss": 4.9753,
+      "mean_token_accuracy": 0.19644105434417725,
+      "num_tokens": 10808245.0,
+      "step": 5930
+    },
+    {
+      "entropy": 5.384200191497802,
+      "epoch": 4.91714995857498,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00031290941042933797,
+      "loss": 4.9679,
+      "mean_token_accuracy": 0.18787674605846405,
+      "num_tokens": 10817164.0,
+      "step": 5935
+    },
+    {
+      "entropy": 5.287544202804566,
+      "epoch": 4.92129246064623,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031259438446212953,
+      "loss": 5.0007,
+      "mean_token_accuracy": 0.18373542726039888,
+      "num_tokens": 10826098.0,
+      "step": 5940
+    },
+    {
+      "entropy": 5.33493857383728,
+      "epoch": 4.925434962717482,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00031227928266293933,
+      "loss": 5.0115,
+      "mean_token_accuracy": 0.18100205808877945,
+      "num_tokens": 10836427.0,
+      "step": 5945
+    },
+    {
+      "entropy": 5.345344829559326,
+      "epoch": 4.929577464788732,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00031196410566736215,
+      "loss": 4.9689,
+      "mean_token_accuracy": 0.19277302771806717,
+      "num_tokens": 10845804.0,
+      "step": 5950
+    },
+    {
+      "entropy": 5.3519449710845945,
+      "epoch": 4.933719966859983,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00031164885411114453,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.1908810630440712,
+      "num_tokens": 10855951.0,
+      "step": 5955
+    },
+    {
+      "entropy": 5.301464605331421,
+      "epoch": 4.937862468931234,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031133352863018315,
+      "loss": 5.079,
+      "mean_token_accuracy": 0.18923453092575074,
+      "num_tokens": 10865528.0,
+      "step": 5960
+    },
+    {
+      "entropy": 5.369193601608276,
+      "epoch": 4.942004971002485,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00031101812986052406,
+      "loss": 4.9936,
+      "mean_token_accuracy": 0.19839225262403487,
+      "num_tokens": 10874365.0,
+      "step": 5965
+    },
+    {
+      "entropy": 5.310976552963257,
+      "epoch": 4.9461474730737365,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00031070265843836107,
+      "loss": 4.9184,
+      "mean_token_accuracy": 0.1972976267337799,
+      "num_tokens": 10883034.0,
+      "step": 5970
+    },
+    {
+      "entropy": 5.323369884490967,
+      "epoch": 4.950289975144988,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003103871150000345,
+      "loss": 4.9768,
+      "mean_token_accuracy": 0.1961338758468628,
+      "num_tokens": 10892307.0,
+      "step": 5975
+    },
+    {
+      "entropy": 5.354686069488525,
+      "epoch": 4.954432477216239,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00031007150018202983,
+      "loss": 5.057,
+      "mean_token_accuracy": 0.18536237627267838,
+      "num_tokens": 10902074.0,
+      "step": 5980
+    },
+    {
+      "entropy": 5.372721862792969,
+      "epoch": 4.95857497928749,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00030975581462097673,
+      "loss": 4.8961,
+      "mean_token_accuracy": 0.19350670725107194,
+      "num_tokens": 10911205.0,
+      "step": 5985
+    },
+    {
+      "entropy": 5.278085422515869,
+      "epoch": 4.962717481358741,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00030944005895364754,
+      "loss": 4.9233,
+      "mean_token_accuracy": 0.19045489132404328,
+      "num_tokens": 10920371.0,
+      "step": 5990
+    },
+    {
+      "entropy": 5.219862222671509,
+      "epoch": 4.966859983429992,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00030912423381695584,
+      "loss": 4.9124,
+      "mean_token_accuracy": 0.20015972554683686,
+      "num_tokens": 10928741.0,
+      "step": 5995
+    },
+    {
+      "entropy": 5.3216063499450685,
+      "epoch": 4.971002485501243,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00030880833984795554,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.20140086114406586,
+      "num_tokens": 10938074.0,
+      "step": 6000
+    },
+    {
+      "epoch": 4.971002485501243,
+      "eval_entropy": 5.223882782942196,
+      "eval_loss": 5.772702217102051,
+      "eval_mean_token_accuracy": 0.16291698060437307,
+      "eval_num_tokens": 10938074.0,
+      "eval_runtime": 2.7438,
+      "eval_samples_per_second": 1365.624,
+      "eval_steps_per_second": 170.931,
+      "step": 6000
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 12060,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.6320003303168e+16,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}
diff --git a/checkpoint-6000/training_args.bin b/checkpoint-6000/training_args.bin
new file mode 100644
index 0000000..47a7b32
--- /dev/null
+++ b/checkpoint-6000/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e406e906697be5d5c4bea7f90a038122ca162eb6b7e40512a32661ef55af9075
+size 6353
diff --git a/checkpoint-6500/added_tokens.json b/checkpoint-6500/added_tokens.json
new file mode 100644
index 0000000..b3dbcdb
--- /dev/null
+++ b/checkpoint-6500/added_tokens.json
@@ -0,0 +1,1202 @@
+{
+  "<pad>": 50002,
+  "[CLS]": 50000,
+  "[MASK]": 50003,
+  "[SEP]": 50001,
+  "[XXXXX0]": 50771,
+  "[XXXXX1000]": 50549,
+  "[XXXXX1001]": 50657,
+  "[XXXXX1002]": 51158,
+  "[XXXXX1003]": 51044,
+  "[XXXXX1004]": 50688,
+  "[XXXXX1005]": 50689,
+  "[XXXXX1006]": 50410,
+  "[XXXXX1007]": 50724,
+  "[XXXXX1008]": 50171,
+  "[XXXXX1009]": 51077,
+  "[XXXXX100]": 50091,
+  "[XXXXX1010]": 50639,
+  "[XXXXX1011]": 51094,
+  "[XXXXX1012]": 50392,
+  "[XXXXX1013]": 50626,
+  "[XXXXX1014]": 50991,
+  "[XXXXX1015]": 50529,
+  "[XXXXX1016]": 51193,
+  "[XXXXX1017]": 51073,
+  "[XXXXX1018]": 51104,
+  "[XXXXX1019]": 50775,
+  "[XXXXX101]": 50139,
+  "[XXXXX1020]": 50157,
+  "[XXXXX1021]": 50934,
+  "[XXXXX1022]": 51159,
+  "[XXXXX1023]": 50048,
+  "[XXXXX1024]": 51123,
+  "[XXXXX1025]": 50084,
+  "[XXXXX1026]": 50813,
+  "[XXXXX1027]": 50725,
+  "[XXXXX1028]": 50931,
+  "[XXXXX1029]": 50233,
+  "[XXXXX102]": 50213,
+  "[XXXXX1030]": 51023,
+  "[XXXXX1031]": 50098,
+  "[XXXXX1032]": 50802,
+  "[XXXXX1033]": 50061,
+  "[XXXXX1034]": 51139,
+  "[XXXXX1035]": 51110,
+  "[XXXXX1036]": 50204,
+  "[XXXXX1037]": 50023,
+  "[XXXXX1038]": 50142,
+  "[XXXXX1039]": 50328,
+  "[XXXXX103]": 50087,
+  "[XXXXX1040]": 50435,
+  "[XXXXX1041]": 50489,
+  "[XXXXX1042]": 50216,
+  "[XXXXX1043]": 50144,
+  "[XXXXX1044]": 50832,
+  "[XXXXX1045]": 50566,
+  "[XXXXX1046]": 50922,
+  "[XXXXX1047]": 50796,
+  "[XXXXX1048]": 50533,
+  "[XXXXX1049]": 50433,
+  "[XXXXX104]": 50478,
+  "[XXXXX1050]": 50953,
+  "[XXXXX1051]": 50497,
+  "[XXXXX1052]": 50655,
+  "[XXXXX1053]": 50881,
+  "[XXXXX1054]": 50461,
+  "[XXXXX1055]": 50052,
+  "[XXXXX1056]": 50219,
+  "[XXXXX1057]": 50789,
+  "[XXXXX1058]": 50121,
+  "[XXXXX1059]": 51002,
+  "[XXXXX105]": 51192,
+  "[XXXXX1060]": 50158,
+  "[XXXXX1061]": 50352,
+  "[XXXXX1062]": 50637,
+  "[XXXXX1063]": 50440,
+  "[XXXXX1064]": 50590,
+  "[XXXXX1065]": 51107,
+  "[XXXXX1066]": 50758,
+  "[XXXXX1067]": 51011,
+  "[XXXXX1068]": 50985,
+  "[XXXXX1069]": 51175,
+  "[XXXXX106]": 50532,
+  "[XXXXX1070]": 50790,
+  "[XXXXX1071]": 50394,
+  "[XXXXX1072]": 50852,
+  "[XXXXX1073]": 50869,
+  "[XXXXX1074]": 50126,
+  "[XXXXX1075]": 50783,
+  "[XXXXX1076]": 50806,
+  "[XXXXX1077]": 50882,
+  "[XXXXX1078]": 50726,
+  "[XXXXX1079]": 51010,
+  "[XXXXX107]": 50714,
+  "[XXXXX1080]": 50168,
+  "[XXXXX1081]": 50425,
+  "[XXXXX1082]": 50848,
+  "[XXXXX1083]": 50014,
+  "[XXXXX1084]": 50341,
+  "[XXXXX1085]": 50734,
+  "[XXXXX1086]": 50664,
+  "[XXXXX1087]": 51007,
+  "[XXXXX1088]": 51151,
+  "[XXXXX1089]": 50269,
+  "[XXXXX108]": 50996,
+  "[XXXXX1090]": 50826,
+  "[XXXXX1091]": 51105,
+  "[XXXXX1092]": 50731,
+  "[XXXXX1093]": 50856,
+  "[XXXXX1094]": 50369,
+  "[XXXXX1095]": 50065,
+  "[XXXXX1096]": 50309,
+  "[XXXXX1097]": 50838,
+  "[XXXXX1098]": 50451,
+  "[XXXXX1099]": 50384,
+  "[XXXXX109]": 50543,
+  "[XXXXX10]": 50325,
+  "[XXXXX1100]": 50318,
+  "[XXXXX1101]": 50764,
+  "[XXXXX1102]": 51025,
+  "[XXXXX1103]": 50642,
+  "[XXXXX1104]": 50665,
+  "[XXXXX1105]": 50855,
+  "[XXXXX1106]": 51063,
+  "[XXXXX1107]": 50025,
+  "[XXXXX1108]": 50122,
+  "[XXXXX1109]": 50470,
+  "[XXXXX110]": 50062,
+  "[XXXXX1110]": 51019,
+  "[XXXXX1111]": 51124,
+  "[XXXXX1112]": 50146,
+  "[XXXXX1113]": 51125,
+  "[XXXXX1114]": 50434,
+  "[XXXXX1115]": 50818,
+  "[XXXXX1116]": 50960,
+  "[XXXXX1117]": 50258,
+  "[XXXXX1118]": 50596,
+  "[XXXXX1119]": 50083,
+  "[XXXXX111]": 51064,
+  "[XXXXX1120]": 50915,
+  "[XXXXX1121]": 50835,
+  "[XXXXX1122]": 51056,
+  "[XXXXX1123]": 50172,
+  "[XXXXX1124]": 50972,
+  "[XXXXX1125]": 50275,
+  "[XXXXX1126]": 50430,
+  "[XXXXX1127]": 50743,
+  "[XXXXX1128]": 50551,
+  "[XXXXX1129]": 50439,
+  "[XXXXX112]": 50819,
+  "[XXXXX1130]": 50536,
+  "[XXXXX1131]": 50622,
+  "[XXXXX1132]": 50623,
+  "[XXXXX1133]": 50117,
+  "[XXXXX1134]": 50251,
+  "[XXXXX1135]": 50678,
+  "[XXXXX1136]": 50316,
+  "[XXXXX1137]": 50905,
+  "[XXXXX1138]": 50992,
+  "[XXXXX1139]": 50851,
+  "[XXXXX113]": 50443,
+  "[XXXXX1140]": 50499,
+  "[XXXXX1141]": 50629,
+  "[XXXXX1142]": 50944,
+  "[XXXXX1143]": 50373,
+  "[XXXXX1144]": 50123,
+  "[XXXXX1145]": 50173,
+  "[XXXXX1146]": 50891,
+  "[XXXXX1147]": 50471,
+  "[XXXXX1148]": 50560,
+  "[XXXXX1149]": 50541,
+  "[XXXXX114]": 50631,
+  "[XXXXX1150]": 50033,
+  "[XXXXX1151]": 50063,
+  "[XXXXX1152]": 50767,
+  "[XXXXX1153]": 50897,
+  "[XXXXX1154]": 50568,
+  "[XXXXX1155]": 51131,
+  "[XXXXX1156]": 50009,
+  "[XXXXX1157]": 50417,
+  "[XXXXX1158]": 50477,
+  "[XXXXX1159]": 50941,
+  "[XXXXX115]": 50294,
+  "[XXXXX1160]": 50679,
+  "[XXXXX1161]": 51108,
+  "[XXXXX1162]": 50332,
+  "[XXXXX1163]": 50424,
+  "[XXXXX1164]": 50473,
+  "[XXXXX1165]": 50793,
+  "[XXXXX1166]": 50453,
+  "[XXXXX1167]": 50807,
+  "[XXXXX1168]": 50128,
+  "[XXXXX1169]": 50039,
+  "[XXXXX116]": 50759,
+  "[XXXXX1170]": 50735,
+  "[XXXXX1171]": 50366,
+  "[XXXXX1172]": 50808,
+  "[XXXXX1173]": 50426,
+  "[XXXXX1174]": 50076,
+  "[XXXXX1175]": 50943,
+  "[XXXXX1176]": 50252,
+  "[XXXXX1177]": 50999,
+  "[XXXXX1178]": 50264,
+  "[XXXXX1179]": 50607,
+  "[XXXXX117]": 51036,
+  "[XXXXX1180]": 50986,
+  "[XXXXX1181]": 50744,
+  "[XXXXX1182]": 50186,
+  "[XXXXX1183]": 50555,
+  "[XXXXX1184]": 51076,
+  "[XXXXX1185]": 50849,
+  "[XXXXX1186]": 51128,
+  "[XXXXX1187]": 50858,
+  "[XXXXX1188]": 50656,
+  "[XXXXX1189]": 50064,
+  "[XXXXX118]": 50081,
+  "[XXXXX1190]": 51197,
+  "[XXXXX1191]": 50104,
+  "[XXXXX1192]": 50045,
+  "[XXXXX1193]": 50404,
+  "[XXXXX1194]": 50690,
+  "[XXXXX1195]": 50495,
+  "[XXXXX119]": 50108,
+  "[XXXXX11]": 50976,
+  "[XXXXX120]": 51081,
+  "[XXXXX121]": 50464,
+  "[XXXXX122]": 50829,
+  "[XXXXX123]": 50766,
+  "[XXXXX124]": 50732,
+  "[XXXXX125]": 50221,
+  "[XXXXX126]": 50810,
+  "[XXXXX127]": 50130,
+  "[XXXXX128]": 50751,
+  "[XXXXX129]": 50662,
+  "[XXXXX12]": 50602,
+  "[XXXXX130]": 50035,
+  "[XXXXX131]": 50715,
+  "[XXXXX132]": 50340,
+  "[XXXXX133]": 50563,
+  "[XXXXX134]": 50993,
+  "[XXXXX135]": 50304,
+  "[XXXXX136]": 50131,
+  "[XXXXX137]": 50578,
+  "[XXXXX138]": 50757,
+  "[XXXXX139]": 50582,
+  "[XXXXX13]": 50105,
+  "[XXXXX140]": 50085,
+  "[XXXXX141]": 50553,
+  "[XXXXX142]": 50749,
+  "[XXXXX143]": 50351,
+  "[XXXXX144]": 51024,
+  "[XXXXX145]": 51144,
+  "[XXXXX146]": 50042,
+  "[XXXXX147]": 50145,
+  "[XXXXX148]": 50066,
+  "[XXXXX149]": 50876,
+  "[XXXXX14]": 51006,
+  "[XXXXX150]": 50280,
+  "[XXXXX151]": 50093,
+  "[XXXXX152]": 50638,
+  "[XXXXX153]": 50684,
+  "[XXXXX154]": 50820,
+  "[XXXXX155]": 51196,
+  "[XXXXX156]": 50317,
+  "[XXXXX157]": 50284,
+  "[XXXXX158]": 50288,
+  "[XXXXX159]": 50814,
+  "[XXXXX15]": 50608,
+  "[XXXXX160]": 50004,
+  "[XXXXX161]": 50008,
+  "[XXXXX162]": 50377,
+  "[XXXXX163]": 50214,
+  "[XXXXX164]": 50708,
+  "[XXXXX165]": 50390,
+  "[XXXXX166]": 50741,
+  "[XXXXX167]": 50445,
+  "[XXXXX168]": 50936,
+  "[XXXXX169]": 50896,
+  "[XXXXX16]": 50442,
+  "[XXXXX170]": 50109,
+  "[XXXXX171]": 50140,
+  "[XXXXX172]": 50427,
+  "[XXXXX173]": 51074,
+  "[XXXXX174]": 50162,
+  "[XXXXX175]": 51015,
+  "[XXXXX176]": 50524,
+  "[XXXXX177]": 50673,
+  "[XXXXX178]": 50054,
+  "[XXXXX179]": 50805,
+  "[XXXXX17]": 50482,
+  "[XXXXX180]": 50253,
+  "[XXXXX181]": 50493,
+  "[XXXXX182]": 50421,
+  "[XXXXX183]": 51050,
+  "[XXXXX184]": 50521,
+  "[XXXXX185]": 50188,
+  "[XXXXX186]": 50147,
+  "[XXXXX187]": 50201,
+  "[XXXXX188]": 50973,
+  "[XXXXX189]": 50409,
+  "[XXXXX18]": 50115,
+  "[XXXXX190]": 50051,
+  "[XXXXX191]": 51020,
+  "[XXXXX192]": 51047,
+  "[XXXXX193]": 50669,
+  "[XXXXX194]": 50643,
+  "[XXXXX195]": 50159,
+  "[XXXXX196]": 50649,
+  "[XXXXX197]": 51178,
+  "[XXXXX198]": 50043,
+  "[XXXXX199]": 51147,
+  "[XXXXX19]": 51127,
+  "[XXXXX1]": 51114,
+  "[XXXXX200]": 50840,
+  "[XXXXX201]": 50365,
+  "[XXXXX202]": 50232,
+  "[XXXXX203]": 50241,
+  "[XXXXX204]": 50548,
+  "[XXXXX205]": 50781,
+  "[XXXXX206]": 50923,
+  "[XXXXX207]": 51115,
+  "[XXXXX208]": 50344,
+  "[XXXXX209]": 50299,
+  "[XXXXX20]": 51031,
+  "[XXXXX210]": 51179,
+  "[XXXXX211]": 51163,
+  "[XXXXX212]": 50562,
+  "[XXXXX213]": 50094,
+  "[XXXXX214]": 50257,
+  "[XXXXX215]": 50967,
+  "[XXXXX216]": 50523,
+  "[XXXXX217]": 51132,
+  "[XXXXX218]": 51146,
+  "[XXXXX219]": 50411,
+  "[XXXXX21]": 50354,
+  "[XXXXX220]": 50853,
+  "[XXXXX221]": 50886,
+  "[XXXXX222]": 50600,
+  "[XXXXX223]": 50873,
+  "[XXXXX224]": 50416,
+  "[XXXXX225]": 50675,
+  "[XXXXX226]": 50583,
+  "[XXXXX227]": 50151,
+  "[XXXXX228]": 50927,
+  "[XXXXX229]": 50609,
+  "[XXXXX22]": 50589,
+  "[XXXXX230]": 50238,
+  "[XXXXX231]": 50242,
+  "[XXXXX232]": 51016,
+  "[XXXXX233]": 50406,
+  "[XXXXX234]": 50908,
+  "[XXXXX235]": 50024,
+  "[XXXXX236]": 50270,
+  "[XXXXX237]": 50132,
+  "[XXXXX238]": 50800,
+  "[XXXXX239]": 50236,
+  "[XXXXX23]": 50007,
+  "[XXXXX240]": 50005,
+  "[XXXXX241]": 50894,
+  "[XXXXX242]": 50694,
+  "[XXXXX243]": 51071,
+  "[XXXXX244]": 51017,
+  "[XXXXX245]": 50068,
+  "[XXXXX246]": 50682,
+  "[XXXXX247]": 50913,
+  "[XXXXX248]": 51028,
+  "[XXXXX249]": 50037,
+  "[XXXXX24]": 51169,
+  "[XXXXX250]": 50747,
+  "[XXXXX251]": 50947,
+  "[XXXXX252]": 50329,
+  "[XXXXX253]": 50612,
+  "[XXXXX254]": 50110,
+  "[XXXXX255]": 50824,
+  "[XXXXX256]": 50558,
+  "[XXXXX257]": 50969,
+  "[XXXXX258]": 50729,
+  "[XXXXX259]": 50125,
+  "[XXXXX25]": 51160,
+  "[XXXXX260]": 50040,
+  "[XXXXX261]": 51038,
+  "[XXXXX262]": 50347,
+  "[XXXXX263]": 50740,
+  "[XXXXX264]": 51195,
+  "[XXXXX265]": 50879,
+  "[XXXXX266]": 50770,
+  "[XXXXX267]": 50178,
+  "[XXXXX268]": 50804,
+  "[XXXXX269]": 50906,
+  "[XXXXX26]": 50150,
+  "[XXXXX270]": 51191,
+  "[XXXXX271]": 50047,
+  "[XXXXX272]": 50195,
+  "[XXXXX273]": 50554,
+  "[XXXXX274]": 50833,
+  "[XXXXX275]": 50346,
+  "[XXXXX276]": 50950,
+  "[XXXXX277]": 50864,
+  "[XXXXX278]": 50259,
+  "[XXXXX279]": 50671,
+  "[XXXXX27]": 50468,
+  "[XXXXX280]": 50082,
+  "[XXXXX281]": 50565,
+  "[XXXXX282]": 50984,
+  "[XXXXX283]": 50650,
+  "[XXXXX284]": 50975,
+  "[XXXXX285]": 50603,
+  "[XXXXX286]": 50027,
+  "[XXXXX287]": 50181,
+  "[XXXXX288]": 50981,
+  "[XXXXX289]": 50885,
+  "[XXXXX28]": 50249,
+  "[XXXXX290]": 50522,
+  "[XXXXX291]": 50050,
+  "[XXXXX292]": 50313,
+  "[XXXXX293]": 50503,
+  "[XXXXX294]": 51176,
+  "[XXXXX295]": 51177,
+  "[XXXXX296]": 50379,
+  "[XXXXX297]": 50635,
+  "[XXXXX298]": 50723,
+  "[XXXXX299]": 50200,
+  "[XXXXX29]": 50892,
+  "[XXXXX2]": 51119,
+  "[XXXXX300]": 51026,
+  "[XXXXX301]": 50528,
+  "[XXXXX302]": 51149,
+  "[XXXXX303]": 50044,
+  "[XXXXX304]": 50209,
+  "[XXXXX305]": 50988,
+  "[XXXXX306]": 50518,
+  "[XXXXX307]": 50088,
+  "[XXXXX308]": 50733,
+  "[XXXXX309]": 51066,
+  "[XXXXX30]": 50506,
+  "[XXXXX310]": 50285,
+  "[XXXXX311]": 50859,
+  "[XXXXX312]": 50263,
+  "[XXXXX313]": 50594,
+  "[XXXXX314]": 51103,
+  "[XXXXX315]": 50871,
+  "[XXXXX316]": 50300,
+  "[XXXXX317]": 50760,
+  "[XXXXX318]": 50055,
+  "[XXXXX319]": 50389,
+  "[XXXXX31]": 50212,
+  "[XXXXX320]": 50444,
+  "[XXXXX321]": 50994,
+  "[XXXXX322]": 50281,
+  "[XXXXX323]": 50179,
+  "[XXXXX324]": 50455,
+  "[XXXXX325]": 50970,
+  "[XXXXX326]": 50666,
+  "[XXXXX327]": 50604,
+  "[XXXXX328]": 50627,
+  "[XXXXX329]": 50475,
+  "[XXXXX32]": 50277,
+  "[XXXXX330]": 50667,
+  "[XXXXX331]": 50348,
+  "[XXXXX332]": 50772,
+  "[XXXXX333]": 50163,
+  "[XXXXX334]": 50569,
+  "[XXXXX335]": 50018,
+  "[XXXXX336]": 50883,
+  "[XXXXX337]": 50067,
+  "[XXXXX338]": 51184,
+  "[XXXXX339]": 50997,
+  "[XXXXX33]": 50403,
+  "[XXXXX340]": 51013,
+  "[XXXXX341]": 50957,
+  "[XXXXX342]": 51106,
+  "[XXXXX343]": 51174,
+  "[XXXXX344]": 50391,
+  "[XXXXX345]": 50948,
+  "[XXXXX346]": 50180,
+  "[XXXXX347]": 50811,
+  "[XXXXX348]": 50401,
+  "[XXXXX349]": 50911,
+  "[XXXXX34]": 50223,
+  "[XXXXX350]": 51089,
+  "[XXXXX351]": 50777,
+  "[XXXXX352]": 50189,
+  "[XXXXX353]": 50492,
+  "[XXXXX354]": 50205,
+  "[XXXXX355]": 50374,
+  "[XXXXX356]": 51152,
+  "[XXXXX357]": 50695,
+  "[XXXXX358]": 51117,
+  "[XXXXX359]": 50573,
+  "[XXXXX35]": 50752,
+  "[XXXXX360]": 50955,
+  "[XXXXX361]": 50349,
+  "[XXXXX362]": 51137,
+  "[XXXXX363]": 50641,
+  "[XXXXX364]": 51148,
+  "[XXXXX365]": 50255,
+  "[XXXXX366]": 50310,
+  "[XXXXX367]": 50314,
+  "[XXXXX368]": 50971,
+  "[XXXXX369]": 50916,
+  "[XXXXX36]": 50437,
+  "[XXXXX370]": 51096,
+  "[XXXXX371]": 50557,
+  "[XXXXX372]": 51095,
+  "[XXXXX373]": 50382,
+  "[XXXXX374]": 50119,
+  "[XXXXX375]": 50958,
+  "[XXXXX376]": 50624,
+  "[XXXXX377]": 50483,
+  "[XXXXX378]": 50605,
+  "[XXXXX379]": 50017,
+  "[XXXXX37]": 50706,
+  "[XXXXX380]": 50246,
+  "[XXXXX381]": 50588,
+  "[XXXXX382]": 51008,
+  "[XXXXX383]": 50801,
+  "[XXXXX384]": 50290,
+  "[XXXXX385]": 50899,
+  "[XXXXX386]": 50206,
+  "[XXXXX387]": 50716,
+  "[XXXXX388]": 51082,
+  "[XXXXX389]": 50177,
+  "[XXXXX38]": 50736,
+  "[XXXXX390]": 50282,
+  "[XXXXX391]": 51183,
+  "[XXXXX392]": 50286,
+  "[XXXXX393]": 50659,
+  "[XXXXX394]": 50378,
+  "[XXXXX395]": 50709,
+  "[XXXXX396]": 50028,
+  "[XXXXX397]": 50235,
+  "[XXXXX398]": 51014,
+  "[XXXXX399]": 50880,
+  "[XXXXX39]": 50305,
+  "[XXXXX3]": 50077,
+  "[XXXXX400]": 50155,
+  "[XXXXX401]": 50710,
+  "[XXXXX402]": 50507,
+  "[XXXXX403]": 50860,
+  "[XXXXX404]": 50661,
+  "[XXXXX405]": 51083,
+  "[XXXXX406]": 50888,
+  "[XXXXX407]": 50069,
+  "[XXXXX408]": 50691,
+  "[XXXXX409]": 51055,
+  "[XXXXX40]": 50337,
+  "[XXXXX410]": 50137,
+  "[XXXXX411]": 50791,
+  "[XXXXX412]": 50136,
+  "[XXXXX413]": 50730,
+  "[XXXXX414]": 50267,
+  "[XXXXX415]": 50012,
+  "[XXXXX416]": 50681,
+  "[XXXXX417]": 50942,
+  "[XXXXX418]": 50720,
+  "[XXXXX419]": 50844,
+  "[XXXXX41]": 50387,
+  "[XXXXX420]": 50111,
+  "[XXXXX421]": 51003,
+  "[XXXXX422]": 50785,
+  "[XXXXX423]": 50149,
+  "[XXXXX424]": 50422,
+  "[XXXXX425]": 51086,
+  "[XXXXX426]": 50862,
+  "[XXXXX427]": 50576,
+  "[XXXXX428]": 51049,
+  "[XXXXX429]": 50630,
+  "[XXXXX42]": 50799,
+  "[XXXXX430]": 50289,
+  "[XXXXX431]": 50184,
+  "[XXXXX432]": 50319,
+  "[XXXXX433]": 51116,
+  "[XXXXX434]": 50519,
+  "[XXXXX435]": 50496,
+  "[XXXXX436]": 50517,
+  "[XXXXX437]": 50865,
+  "[XXXXX438]": 50737,
+  "[XXXXX439]": 50356,
+  "[XXXXX43]": 50359,
+  "[XXXXX440]": 50898,
+  "[XXXXX441]": 50113,
+  "[XXXXX442]": 50527,
+  "[XXXXX443]": 50762,
+  "[XXXXX444]": 50540,
+  "[XXXXX445]": 50925,
+  "[XXXXX446]": 50711,
+  "[XXXXX447]": 50143,
+  "[XXXXX448]": 51170,
+  "[XXXXX449]": 50413,
+  "[XXXXX44]": 50097,
+  "[XXXXX450]": 50375,
+  "[XXXXX451]": 50846,
+  "[XXXXX452]": 50217,
+  "[XXXXX453]": 50699,
+  "[XXXXX454]": 50412,
+  "[XXXXX455]": 50418,
+  "[XXXXX456]": 51143,
+  "[XXXXX457]": 51141,
+  "[XXXXX458]": 51157,
+  "[XXXXX459]": 50825,
+  "[XXXXX45]": 50203,
+  "[XXXXX460]": 50194,
+  "[XXXXX461]": 50148,
+  "[XXXXX462]": 50276,
+  "[XXXXX463]": 50271,
+  "[XXXXX464]": 50836,
+  "[XXXXX465]": 50854,
+  "[XXXXX466]": 50164,
+  "[XXXXX467]": 50484,
+  "[XXXXX468]": 51097,
+  "[XXXXX469]": 50182,
+  "[XXXXX46]": 50505,
+  "[XXXXX470]": 50670,
+  "[XXXXX471]": 50595,
+  "[XXXXX472]": 50237,
+  "[XXXXX473]": 50057,
+  "[XXXXX474]": 50431,
+  "[XXXXX475]": 50738,
+  "[XXXXX476]": 51145,
+  "[XXXXX477]": 50247,
+  "[XXXXX478]": 50029,
+  "[XXXXX479]": 50917,
+  "[XXXXX47]": 50579,
+  "[XXXXX480]": 50702,
+  "[XXXXX481]": 50831,
+  "[XXXXX482]": 50753,
+  "[XXXXX483]": 50598,
+  "[XXXXX484]": 51136,
+  "[XXXXX485]": 50092,
+  "[XXXXX486]": 50202,
+  "[XXXXX487]": 50106,
+  "[XXXXX488]": 50924,
+  "[XXXXX489]": 51113,
+  "[XXXXX48]": 50842,
+  "[XXXXX490]": 50761,
+  "[XXXXX491]": 50577,
+  "[XXXXX492]": 50692,
+  "[XXXXX493]": 51130,
+  "[XXXXX494]": 50932,
+  "[XXXXX495]": 50837,
+  "[XXXXX496]": 50893,
+  "[XXXXX497]": 50773,
+  "[XXXXX498]": 50360,
+  "[XXXXX499]": 50900,
+  "[XXXXX49]": 51062,
+  "[XXXXX4]": 50396,
+  "[XXXXX500]": 51034,
+  "[XXXXX501]": 50472,
+  "[XXXXX502]": 50660,
+  "[XXXXX503]": 50815,
+  "[XXXXX504]": 50939,
+  "[XXXXX505]": 50419,
+  "[XXXXX506]": 50324,
+  "[XXXXX507]": 50428,
+  "[XXXXX508]": 50274,
+  "[XXXXX509]": 50311,
+  "[XXXXX50]": 50459,
+  "[XXXXX510]": 50674,
+  "[XXXXX511]": 50580,
+  "[XXXXX512]": 50956,
+  "[XXXXX513]": 50165,
+  "[XXXXX514]": 50320,
+  "[XXXXX515]": 50648,
+  "[XXXXX516]": 50386,
+  "[XXXXX517]": 50058,
+  "[XXXXX518]": 51045,
+  "[XXXXX519]": 50103,
+  "[XXXXX51]": 50979,
+  "[XXXXX520]": 50530,
+  "[XXXXX521]": 50907,
+  "[XXXXX522]": 50260,
+  "[XXXXX523]": 50632,
+  "[XXXXX524]": 50926,
+  "[XXXXX525]": 50687,
+  "[XXXXX526]": 50160,
+  "[XXXXX527]": 51053,
+  "[XXXXX528]": 50652,
+  "[XXXXX529]": 51041,
+  "[XXXXX52]": 50272,
+  "[XXXXX530]": 51111,
+  "[XXXXX531]": 51009,
+  "[XXXXX532]": 51079,
+  "[XXXXX533]": 50487,
+  "[XXXXX534]": 51059,
+  "[XXXXX535]": 50335,
+  "[XXXXX536]": 50380,
+  "[XXXXX537]": 50301,
+  "[XXXXX538]": 51067,
+  "[XXXXX539]": 51052,
+  "[XXXXX53]": 51048,
+  "[XXXXX540]": 50822,
+  "[XXXXX541]": 51040,
+  "[XXXXX542]": 50490,
+  "[XXXXX543]": 50448,
+  "[XXXXX544]": 50812,
+  "[XXXXX545]": 50099,
+  "[XXXXX546]": 51199,
+  "[XXXXX547]": 50226,
+  "[XXXXX548]": 50538,
+  "[XXXXX549]": 50342,
+  "[XXXXX54]": 50701,
+  "[XXXXX550]": 50544,
+  "[XXXXX551]": 50398,
+  "[XXXXX552]": 51102,
+  "[XXXXX553]": 50919,
+  "[XXXXX554]": 50615,
+  "[XXXXX555]": 50769,
+  "[XXXXX556]": 50940,
+  "[XXXXX557]": 50070,
+  "[XXXXX558]": 50680,
+  "[XXXXX559]": 50611,
+  "[XXXXX55]": 50574,
+  "[XXXXX560]": 50381,
+  "[XXXXX561]": 50350,
+  "[XXXXX562]": 50175,
+  "[XXXXX563]": 50584,
+  "[XXXXX564]": 50703,
+  "[XXXXX565]": 50989,
+  "[XXXXX566]": 50877,
+  "[XXXXX567]": 51039,
+  "[XXXXX568]": 51018,
+  "[XXXXX569]": 50452,
+  "[XXXXX56]": 51099,
+  "[XXXXX570]": 50161,
+  "[XXXXX571]": 50921,
+  "[XXXXX572]": 50676,
+  "[XXXXX573]": 50326,
+  "[XXXXX574]": 50987,
+  "[XXXXX575]": 50361,
+  "[XXXXX576]": 50071,
+  "[XXXXX577]": 50803,
+  "[XXXXX578]": 50400,
+  "[XXXXX579]": 51091,
+  "[XXXXX57]": 50501,
+  "[XXXXX580]": 50887,
+  "[XXXXX581]": 50839,
+  "[XXXXX582]": 51138,
+  "[XXXXX583]": 50816,
+  "[XXXXX584]": 50339,
+  "[XXXXX585]": 50463,
+  "[XXXXX586]": 50399,
+  "[XXXXX587]": 51070,
+  "[XXXXX588]": 50457,
+  "[XXXXX589]": 50828,
+  "[XXXXX58]": 50183,
+  "[XXXXX590]": 50080,
+  "[XXXXX591]": 50550,
+  "[XXXXX592]": 50129,
+  "[XXXXX593]": 50273,
+  "[XXXXX594]": 50388,
+  "[XXXXX595]": 50491,
+  "[XXXXX596]": 50278,
+  "[XXXXX597]": 50011,
+  "[XXXXX598]": 50254,
+  "[XXXXX599]": 50302,
+  "[XXXXX59]": 50353,
+  "[XXXXX5]": 50010,
+  "[XXXXX600]": 50704,
+  "[XXXXX601]": 51118,
+  "[XXXXX602]": 50049,
+  "[XXXXX603]": 51190,
+  "[XXXXX604]": 51142,
+  "[XXXXX605]": 50707,
+  "[XXXXX606]": 50937,
+  "[XXXXX607]": 50875,
+  "[XXXXX608]": 50564,
+  "[XXXXX609]": 50345,
+  "[XXXXX60]": 50713,
+  "[XXXXX610]": 50949,
+  "[XXXXX611]": 50978,
+  "[XXXXX612]": 50330,
+  "[XXXXX613]": 51035,
+  "[XXXXX614]": 50402,
+  "[XXXXX615]": 50176,
+  "[XXXXX616]": 51133,
+  "[XXXXX617]": 50222,
+  "[XXXXX618]": 50118,
+  "[XXXXX619]": 50196,
+  "[XXXXX61]": 50298,
+  "[XXXXX620]": 50668,
+  "[XXXXX621]": 50462,
+  "[XXXXX622]": 50218,
+  "[XXXXX623]": 51101,
+  "[XXXXX624]": 50362,
+  "[XXXXX625]": 50779,
+  "[XXXXX626]": 50513,
+  "[XXXXX627]": 50746,
+  "[XXXXX628]": 50141,
+  "[XXXXX629]": 50479,
+  "[XXXXX62]": 50056,
+  "[XXXXX630]": 51180,
+  "[XXXXX631]": 50872,
+  "[XXXXX632]": 50315,
+  "[XXXXX633]": 50397,
+  "[XXXXX634]": 51165,
+  "[XXXXX635]": 50046,
+  "[XXXXX636]": 50795,
+  "[XXXXX637]": 50959,
+  "[XXXXX638]": 50786,
+  "[XXXXX639]": 50240,
+  "[XXXXX63]": 51061,
+  "[XXXXX640]": 50601,
+  "[XXXXX641]": 50904,
+  "[XXXXX642]": 50376,
+  "[XXXXX643]": 50663,
+  "[XXXXX644]": 50613,
+  "[XXXXX645]": 50467,
+  "[XXXXX646]": 50546,
+  "[XXXXX647]": 50465,
+  "[XXXXX648]": 50395,
+  "[XXXXX649]": 50287,
+  "[XXXXX64]": 51162,
+  "[XXXXX650]": 50474,
+  "[XXXXX651]": 50727,
+  "[XXXXX652]": 50243,
+  "[XXXXX653]": 51100,
+  "[XXXXX654]": 50705,
+  "[XXXXX655]": 51012,
+  "[XXXXX656]": 50447,
+  "[XXXXX657]": 50719,
+  "[XXXXX658]": 50712,
+  "[XXXXX659]": 50476,
+  "[XXXXX65]": 50587,
+  "[XXXXX660]": 51054,
+  "[XXXXX661]": 51166,
+  "[XXXXX662]": 50494,
+  "[XXXXX663]": 50230,
+  "[XXXXX664]": 50621,
+  "[XXXXX665]": 50809,
+  "[XXXXX666]": 50265,
+  "[XXXXX667]": 50645,
+  "[XXXXX668]": 50817,
+  "[XXXXX669]": 50030,
+  "[XXXXX66]": 51029,
+  "[XXXXX670]": 51004,
+  "[XXXXX671]": 50685,
+  "[XXXXX672]": 50625,
+  "[XXXXX673]": 50890,
+  "[XXXXX674]": 50383,
+  "[XXXXX675]": 50929,
+  "[XXXXX676]": 50116,
+  "[XXXXX677]": 51072,
+  "[XXXXX678]": 51126,
+  "[XXXXX679]": 50755,
+  "[XXXXX67]": 50717,
+  "[XXXXX680]": 50303,
+  "[XXXXX681]": 50504,
+  "[XXXXX682]": 51075,
+  "[XXXXX683]": 50261,
+  "[XXXXX684]": 50861,
+  "[XXXXX685]": 50306,
+  "[XXXXX686]": 50016,
+  "[XXXXX687]": 50101,
+  "[XXXXX688]": 51098,
+  "[XXXXX689]": 50827,
+  "[XXXXX68]": 50863,
+  "[XXXXX690]": 50640,
+  "[XXXXX691]": 50031,
+  "[XXXXX692]": 50768,
+  "[XXXXX693]": 50013,
+  "[XXXXX694]": 51032,
+  "[XXXXX695]": 50166,
+  "[XXXXX696]": 50127,
+  "[XXXXX697]": 50414,
+  "[XXXXX698]": 50742,
+  "[XXXXX699]": 51042,
+  "[XXXXX69]": 51112,
+  "[XXXXX6]": 50593,
+  "[XXXXX700]": 50292,
+  "[XXXXX701]": 50174,
+  "[XXXXX702]": 50547,
+  "[XXXXX703]": 50498,
+  "[XXXXX704]": 51078,
+  "[XXXXX705]": 50133,
+  "[XXXXX706]": 50041,
+  "[XXXXX707]": 51181,
+  "[XXXXX708]": 50585,
+  "[XXXXX709]": 50776,
+  "[XXXXX70]": 50053,
+  "[XXXXX710]": 50336,
+  "[XXXXX711]": 50765,
+  "[XXXXX712]": 50224,
+  "[XXXXX713]": 50599,
+  "[XXXXX714]": 50207,
+  "[XXXXX715]": 51043,
+  "[XXXXX716]": 51090,
+  "[XXXXX717]": 50006,
+  "[XXXXX718]": 50901,
+  "[XXXXX719]": 51001,
+  "[XXXXX71]": 50954,
+  "[XXXXX720]": 50646,
+  "[XXXXX721]": 50075,
+  "[XXXXX722]": 51120,
+  "[XXXXX723]": 50215,
+  "[XXXXX724]": 50415,
+  "[XXXXX725]": 50154,
+  "[XXXXX726]": 50935,
+  "[XXXXX727]": 50545,
+  "[XXXXX728]": 51085,
+  "[XXXXX729]": 50256,
+  "[XXXXX72]": 50363,
+  "[XXXXX730]": 50700,
+  "[XXXXX731]": 50262,
+  "[XXXXX732]": 50930,
+  "[XXXXX733]": 50333,
+  "[XXXXX734]": 50884,
+  "[XXXXX735]": 51030,
+  "[XXXXX736]": 50231,
+  "[XXXXX737]": 50405,
+  "[XXXXX738]": 50962,
+  "[XXXXX739]": 50458,
+  "[XXXXX73]": 50019,
+  "[XXXXX740]": 50878,
+  "[XXXXX741]": 50910,
+  "[XXXXX742]": 50170,
+  "[XXXXX743]": 50718,
+  "[XXXXX744]": 50616,
+  "[XXXXX745]": 50358,
+  "[XXXXX746]": 50152,
+  "[XXXXX747]": 50525,
+  "[XXXXX748]": 51167,
+  "[XXXXX749]": 50653,
+  "[XXXXX74]": 50952,
+  "[XXXXX750]": 50500,
+  "[XXXXX751]": 50446,
+  "[XXXXX752]": 50995,
+  "[XXXXX753]": 50945,
+  "[XXXXX754]": 51173,
+  "[XXXXX755]": 50823,
+  "[XXXXX756]": 51060,
+  "[XXXXX757]": 50748,
+  "[XXXXX758]": 50020,
+  "[XXXXX759]": 50197,
+  "[XXXXX75]": 50502,
+  "[XXXXX760]": 50291,
+  "[XXXXX761]": 50821,
+  "[XXXXX762]": 50190,
+  "[XXXXX763]": 50745,
+  "[XXXXX764]": 50778,
+  "[XXXXX765]": 50556,
+  "[XXXXX766]": 51161,
+  "[XXXXX767]": 50466,
+  "[XXXXX768]": 50792,
+  "[XXXXX769]": 50208,
+  "[XXXXX76]": 50169,
+  "[XXXXX770]": 50647,
+  "[XXXXX771]": 50610,
+  "[XXXXX772]": 51140,
+  "[XXXXX773]": 50441,
+  "[XXXXX774]": 50870,
+  "[XXXXX775]": 50368,
+  "[XXXXX776]": 50026,
+  "[XXXXX777]": 50677,
+  "[XXXXX778]": 51168,
+  "[XXXXX779]": 50481,
+  "[XXXXX77]": 50515,
+  "[XXXXX780]": 50225,
+  "[XXXXX781]": 50408,
+  "[XXXXX782]": 50090,
+  "[XXXXX783]": 50951,
+  "[XXXXX784]": 50015,
+  "[XXXXX785]": 50658,
+  "[XXXXX786]": 50617,
+  "[XXXXX787]": 50721,
+  "[XXXXX788]": 51084,
+  "[XXXXX789]": 50830,
+  "[XXXXX78]": 50100,
+  "[XXXXX790]": 50606,
+  "[XXXXX791]": 50124,
+  "[XXXXX792]": 50078,
+  "[XXXXX793]": 51188,
+  "[XXXXX794]": 50750,
+  "[XXXXX795]": 50138,
+  "[XXXXX796]": 50239,
+  "[XXXXX797]": 50385,
+  "[XXXXX798]": 50780,
+  "[XXXXX799]": 50683,
+  "[XXXXX79]": 50436,
+  "[XXXXX7]": 50211,
+  "[XXXXX800]": 51185,
+  "[XXXXX801]": 50250,
+  "[XXXXX802]": 50456,
+  "[XXXXX803]": 50508,
+  "[XXXXX804]": 51194,
+  "[XXXXX805]": 50021,
+  "[XXXXX806]": 50307,
+  "[XXXXX807]": 50199,
+  "[XXXXX808]": 51129,
+  "[XXXXX809]": 50686,
+  "[XXXXX80]": 50370,
+  "[XXXXX810]": 50343,
+  "[XXXXX811]": 50614,
+  "[XXXXX812]": 50636,
+  "[XXXXX813]": 51198,
+  "[XXXXX814]": 50788,
+  "[XXXXX815]": 50120,
+  "[XXXXX816]": 50135,
+  "[XXXXX817]": 50293,
+  "[XXXXX818]": 50153,
+  "[XXXXX819]": 50516,
+  "[XXXXX81]": 50581,
+  "[XXXXX820]": 50586,
+  "[XXXXX821]": 50509,
+  "[XXXXX822]": 50220,
+  "[XXXXX823]": 51068,
+  "[XXXXX824]": 50946,
+  "[XXXXX825]": 50965,
+  "[XXXXX826]": 50032,
+  "[XXXXX827]": 50156,
+  "[XXXXX828]": 50449,
+  "[XXXXX829]": 50531,
+  "[XXXXX82]": 51164,
+  "[XXXXX830]": 50486,
+  "[XXXXX831]": 50357,
+  "[XXXXX832]": 51022,
+  "[XXXXX833]": 50633,
+  "[XXXXX834]": 50754,
+  "[XXXXX835]": 51134,
+  "[XXXXX836]": 50193,
+  "[XXXXX837]": 51088,
+  "[XXXXX838]": 50722,
+  "[XXXXX839]": 50756,
+  "[XXXXX83]": 50977,
+  "[XXXXX840]": 50022,
+  "[XXXXX841]": 51186,
+  "[XXXXX842]": 50575,
+  "[XXXXX843]": 50079,
+  "[XXXXX844]": 50644,
+  "[XXXXX845]": 51033,
+  "[XXXXX846]": 50454,
+  "[XXXXX847]": 50095,
+  "[XXXXX848]": 50902,
+  "[XXXXX849]": 50597,
+  "[XXXXX84]": 50167,
+  "[XXXXX850]": 51051,
+  "[XXXXX851]": 50696,
+  "[XXXXX852]": 50966,
+  "[XXXXX853]": 50034,
+  "[XXXXX854]": 50889,
+  "[XXXXX855]": 50843,
+  "[XXXXX856]": 50963,
+  "[XXXXX857]": 50227,
+  "[XXXXX858]": 51058,
+  "[XXXXX859]": 50850,
+  "[XXXXX85]": 50192,
+  "[XXXXX860]": 50228,
+  "[XXXXX861]": 50570,
+  "[XXXXX862]": 50488,
+  "[XXXXX863]": 50539,
+  "[XXXXX864]": 51182,
+  "[XXXXX865]": 50990,
+  "[XXXXX866]": 50542,
+  "[XXXXX867]": 51069,
+  "[XXXXX868]": 50480,
+  "[XXXXX869]": 50847,
+  "[XXXXX86]": 50874,
+  "[XXXXX870]": 50308,
+  "[XXXXX871]": 50510,
+  "[XXXXX872]": 50423,
+  "[XXXXX873]": 50086,
+  "[XXXXX874]": 50591,
+  "[XXXXX875]": 50728,
+  "[XXXXX876]": 50372,
+  "[XXXXX877]": 50903,
+  "[XXXXX878]": 50868,
+  "[XXXXX879]": 50763,
+  "[XXXXX87]": 50571,
+  "[XXXXX880]": 50096,
+  "[XXXXX881]": 51150,
+  "[XXXXX882]": 50460,
+  "[XXXXX883]": 51087,
+  "[XXXXX884]": 51093,
+  "[XXXXX885]": 50295,
+  "[XXXXX886]": 51037,
+  "[XXXXX887]": 51171,
+  "[XXXXX888]": 50794,
+  "[XXXXX889]": 50628,
+  "[XXXXX88]": 50520,
+  "[XXXXX890]": 51172,
+  "[XXXXX891]": 51046,
+  "[XXXXX892]": 50918,
+  "[XXXXX893]": 50998,
+  "[XXXXX894]": 50371,
+  "[XXXXX895]": 51155,
+  "[XXXXX896]": 50866,
+  "[XXXXX897]": 50229,
+  "[XXXXX898]": 51057,
+  "[XXXXX899]": 50867,
+  "[XXXXX89]": 50537,
+  "[XXXXX8]": 50784,
+  "[XXXXX900]": 50739,
+  "[XXXXX901]": 51080,
+  "[XXXXX902]": 50038,
+  "[XXXXX903]": 50321,
+  "[XXXXX904]": 50774,
+  "[XXXXX905]": 50974,
+  "[XXXXX906]": 50920,
+  "[XXXXX907]": 50469,
+  "[XXXXX908]": 51122,
+  "[XXXXX909]": 51092,
+  "[XXXXX90]": 50514,
+  "[XXXXX910]": 50798,
+  "[XXXXX911]": 50245,
+  "[XXXXX912]": 50367,
+  "[XXXXX913]": 50618,
+  "[XXXXX914]": 50072,
+  "[XXXXX915]": 50450,
+  "[XXXXX916]": 51189,
+  "[XXXXX917]": 50485,
+  "[XXXXX918]": 50283,
+  "[XXXXX919]": 50845,
+  "[XXXXX91]": 50968,
+  "[XXXXX920]": 50429,
+  "[XXXXX921]": 50364,
+  "[XXXXX922]": 50782,
+  "[XXXXX923]": 50534,
+  "[XXXXX924]": 50059,
+  "[XXXXX925]": 50102,
+  "[XXXXX926]": 50185,
+  "[XXXXX927]": 50634,
+  "[XXXXX928]": 50567,
+  "[XXXXX929]": 50895,
+  "[XXXXX92]": 50210,
+  "[XXXXX930]": 50561,
+  "[XXXXX931]": 51021,
+  "[XXXXX932]": 50107,
+  "[XXXXX933]": 50407,
+  "[XXXXX934]": 50654,
+  "[XXXXX935]": 50268,
+  "[XXXXX936]": 51153,
+  "[XXXXX937]": 50552,
+  "[XXXXX938]": 50526,
+  "[XXXXX939]": 50322,
+  "[XXXXX93]": 50912,
+  "[XXXXX940]": 50296,
+  "[XXXXX941]": 50572,
+  "[XXXXX942]": 50393,
+  "[XXXXX943]": 50312,
+  "[XXXXX944]": 50592,
+  "[XXXXX945]": 50982,
+  "[XXXXX946]": 50089,
+  "[XXXXX947]": 50331,
+  "[XXXXX948]": 50279,
+  "[XXXXX949]": 51005,
+  "[XXXXX94]": 50198,
+  "[XXXXX950]": 50114,
+  "[XXXXX951]": 50074,
+  "[XXXXX952]": 50248,
+  "[XXXXX953]": 50857,
+  "[XXXXX954]": 50841,
+  "[XXXXX955]": 51065,
+  "[XXXXX956]": 50234,
+  "[XXXXX957]": 50834,
+  "[XXXXX958]": 50535,
+  "[XXXXX959]": 51109,
+  "[XXXXX95]": 50651,
+  "[XXXXX960]": 50797,
+  "[XXXXX961]": 50914,
+  "[XXXXX962]": 50112,
+  "[XXXXX963]": 50073,
+  "[XXXXX964]": 50559,
+  "[XXXXX965]": 50933,
+  "[XXXXX966]": 50619,
+  "[XXXXX967]": 51187,
+  "[XXXXX968]": 50327,
+  "[XXXXX969]": 50698,
+  "[XXXXX96]": 50420,
+  "[XXXXX970]": 50060,
+  "[XXXXX971]": 50432,
+  "[XXXXX972]": 50620,
+  "[XXXXX973]": 50693,
+  "[XXXXX974]": 50938,
+  "[XXXXX975]": 50983,
+  "[XXXXX976]": 50334,
+  "[XXXXX977]": 50438,
+  "[XXXXX978]": 51154,
+  "[XXXXX979]": 50964,
+  "[XXXXX97]": 50672,
+  "[XXXXX980]": 50511,
+  "[XXXXX981]": 50244,
+  "[XXXXX982]": 50266,
+  "[XXXXX983]": 50134,
+  "[XXXXX984]": 50338,
+  "[XXXXX985]": 51121,
+  "[XXXXX986]": 50323,
+  "[XXXXX987]": 50909,
+  "[XXXXX988]": 51000,
+  "[XXXXX989]": 50036,
+  "[XXXXX98]": 50787,
+  "[XXXXX990]": 50512,
+  "[XXXXX991]": 50191,
+  "[XXXXX992]": 50187,
+  "[XXXXX993]": 51156,
+  "[XXXXX994]": 51135,
+  "[XXXXX995]": 50355,
+  "[XXXXX996]": 51027,
+  "[XXXXX997]": 50297,
+  "[XXXXX998]": 50928,
+  "[XXXXX999]": 50697,
+  "[XXXXX99]": 50980,
+  "[XXXXX9]": 50961
+}
diff --git a/checkpoint-6500/config.json b/checkpoint-6500/config.json
new file mode 100644
index 0000000..000c292
--- /dev/null
+++ b/checkpoint-6500/config.json
@@ -0,0 +1,34 @@
+{
+  "activation_function": "gelu",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50000,
+  "dtype": "bfloat16",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50001,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 512,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": 3072,
+  "n_layer": 12,
+  "n_positions": 512,
+  "pad_token_id": 50002,
+  "prefix": "[CLS]",
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "vocab_size": 51200
+}
diff --git a/checkpoint-6500/generation_config.json b/checkpoint-6500/generation_config.json
new file mode 100644
index 0000000..4c122f0
--- /dev/null
+++ b/checkpoint-6500/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50000,
+  "eos_token_id": [
+    50001
+  ],
+  "pad_token_id": 50002,
+  "transformers_version": "4.56.2"
+}
diff --git a/checkpoint-6500/model.safetensors b/checkpoint-6500/model.safetensors
new file mode 100644
index 0000000..5e82031
--- /dev/null
+++ b/checkpoint-6500/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:50bcc1da910dbc9fa6f2f05ff4157eff774aa6b976f8863b4342c379bb8ecfc3
+size 249556672
diff --git a/checkpoint-6500/rng_state.pth b/checkpoint-6500/rng_state.pth
new file mode 100644
index 0000000..1dfe56f
--- /dev/null
+++ b/checkpoint-6500/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d43c08b7dde181b6f8a8f81b148c14dcb73825859435399a9ace2874c0bf1647
+size 14645
diff --git a/checkpoint-6500/special_tokens_map.json b/checkpoint-6500/special_tokens_map.json
new file mode 100644
index 0000000..c78a835
--- /dev/null
+++ b/checkpoint-6500/special_tokens_map.json
@@ -0,0 +1,1249 @@
+{
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/checkpoint-6500/spiece.model b/checkpoint-6500/spiece.model
new file mode 100644
index 0000000..85d6e93
--- /dev/null
+++ b/checkpoint-6500/spiece.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:762a1e078899c6ba7ef62ef873a57b860c51cc0518791854659b58b4c89742fe
+size 1170764
diff --git a/checkpoint-6500/tokenizer_config.json b/checkpoint-6500/tokenizer_config.json
new file mode 100644
index 0000000..b27d01f
--- /dev/null
+++ b/checkpoint-6500/tokenizer_config.json
@@ -0,0 +1,10825 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50000": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50001": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50002": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50003": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50004": {
+      "content": "[XXXXX160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50005": {
+      "content": "[XXXXX240]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50006": {
+      "content": "[XXXXX717]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50007": {
+      "content": "[XXXXX23]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50008": {
+      "content": "[XXXXX161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50009": {
+      "content": "[XXXXX1156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50010": {
+      "content": "[XXXXX5]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50011": {
+      "content": "[XXXXX597]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50012": {
+      "content": "[XXXXX415]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50013": {
+      "content": "[XXXXX693]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50014": {
+      "content": "[XXXXX1083]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50015": {
+      "content": "[XXXXX784]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50016": {
+      "content": "[XXXXX686]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50017": {
+      "content": "[XXXXX379]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50018": {
+      "content": "[XXXXX335]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50019": {
+      "content": "[XXXXX73]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50020": {
+      "content": "[XXXXX758]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50021": {
+      "content": "[XXXXX805]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50022": {
+      "content": "[XXXXX840]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50023": {
+      "content": "[XXXXX1037]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50024": {
+      "content": "[XXXXX235]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50025": {
+      "content": "[XXXXX1107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50026": {
+      "content": "[XXXXX776]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50027": {
+      "content": "[XXXXX286]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50028": {
+      "content": "[XXXXX396]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50029": {
+      "content": "[XXXXX478]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50030": {
+      "content": "[XXXXX669]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50031": {
+      "content": "[XXXXX691]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50032": {
+      "content": "[XXXXX826]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50033": {
+      "content": "[XXXXX1150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50034": {
+      "content": "[XXXXX853]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50035": {
+      "content": "[XXXXX130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50036": {
+      "content": "[XXXXX989]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50037": {
+      "content": "[XXXXX249]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50038": {
+      "content": "[XXXXX902]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50039": {
+      "content": "[XXXXX1169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50040": {
+      "content": "[XXXXX260]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50041": {
+      "content": "[XXXXX706]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50042": {
+      "content": "[XXXXX146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50043": {
+      "content": "[XXXXX198]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50044": {
+      "content": "[XXXXX303]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50045": {
+      "content": "[XXXXX1192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50046": {
+      "content": "[XXXXX635]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50047": {
+      "content": "[XXXXX271]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50048": {
+      "content": "[XXXXX1023]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50049": {
+      "content": "[XXXXX602]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50050": {
+      "content": "[XXXXX291]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50051": {
+      "content": "[XXXXX190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50052": {
+      "content": "[XXXXX1055]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50053": {
+      "content": "[XXXXX70]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50054": {
+      "content": "[XXXXX178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50055": {
+      "content": "[XXXXX318]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50056": {
+      "content": "[XXXXX62]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50057": {
+      "content": "[XXXXX473]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50058": {
+      "content": "[XXXXX517]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50059": {
+      "content": "[XXXXX924]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50060": {
+      "content": "[XXXXX970]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50061": {
+      "content": "[XXXXX1033]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50062": {
+      "content": "[XXXXX110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50063": {
+      "content": "[XXXXX1151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50064": {
+      "content": "[XXXXX1189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50065": {
+      "content": "[XXXXX1095]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50066": {
+      "content": "[XXXXX148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50067": {
+      "content": "[XXXXX337]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50068": {
+      "content": "[XXXXX245]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50069": {
+      "content": "[XXXXX407]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50070": {
+      "content": "[XXXXX557]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50071": {
+      "content": "[XXXXX576]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50072": {
+      "content": "[XXXXX914]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50073": {
+      "content": "[XXXXX963]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50074": {
+      "content": "[XXXXX951]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50075": {
+      "content": "[XXXXX721]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50076": {
+      "content": "[XXXXX1174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50077": {
+      "content": "[XXXXX3]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50078": {
+      "content": "[XXXXX792]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50079": {
+      "content": "[XXXXX843]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50080": {
+      "content": "[XXXXX590]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50081": {
+      "content": "[XXXXX118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50082": {
+      "content": "[XXXXX280]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50083": {
+      "content": "[XXXXX1119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50084": {
+      "content": "[XXXXX1025]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50085": {
+      "content": "[XXXXX140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50086": {
+      "content": "[XXXXX873]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50087": {
+      "content": "[XXXXX103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50088": {
+      "content": "[XXXXX307]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50089": {
+      "content": "[XXXXX946]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50090": {
+      "content": "[XXXXX782]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50091": {
+      "content": "[XXXXX100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50092": {
+      "content": "[XXXXX485]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50093": {
+      "content": "[XXXXX151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50094": {
+      "content": "[XXXXX213]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50095": {
+      "content": "[XXXXX847]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50096": {
+      "content": "[XXXXX880]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50097": {
+      "content": "[XXXXX44]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50098": {
+      "content": "[XXXXX1031]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50099": {
+      "content": "[XXXXX545]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50100": {
+      "content": "[XXXXX78]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50101": {
+      "content": "[XXXXX687]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50102": {
+      "content": "[XXXXX925]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50103": {
+      "content": "[XXXXX519]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50104": {
+      "content": "[XXXXX1191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50105": {
+      "content": "[XXXXX13]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50106": {
+      "content": "[XXXXX487]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50107": {
+      "content": "[XXXXX932]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50108": {
+      "content": "[XXXXX119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50109": {
+      "content": "[XXXXX170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50110": {
+      "content": "[XXXXX254]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50111": {
+      "content": "[XXXXX420]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50112": {
+      "content": "[XXXXX962]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50113": {
+      "content": "[XXXXX441]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50114": {
+      "content": "[XXXXX950]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50115": {
+      "content": "[XXXXX18]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50116": {
+      "content": "[XXXXX676]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50117": {
+      "content": "[XXXXX1133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50118": {
+      "content": "[XXXXX618]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50119": {
+      "content": "[XXXXX374]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50120": {
+      "content": "[XXXXX815]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50121": {
+      "content": "[XXXXX1058]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50122": {
+      "content": "[XXXXX1108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50123": {
+      "content": "[XXXXX1144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50124": {
+      "content": "[XXXXX791]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50125": {
+      "content": "[XXXXX259]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50126": {
+      "content": "[XXXXX1074]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50127": {
+      "content": "[XXXXX696]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50128": {
+      "content": "[XXXXX1168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50129": {
+      "content": "[XXXXX592]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50130": {
+      "content": "[XXXXX127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50131": {
+      "content": "[XXXXX136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50132": {
+      "content": "[XXXXX237]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50133": {
+      "content": "[XXXXX705]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50134": {
+      "content": "[XXXXX983]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50135": {
+      "content": "[XXXXX816]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50136": {
+      "content": "[XXXXX412]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50137": {
+      "content": "[XXXXX410]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50138": {
+      "content": "[XXXXX795]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50139": {
+      "content": "[XXXXX101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50140": {
+      "content": "[XXXXX171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50141": {
+      "content": "[XXXXX628]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50142": {
+      "content": "[XXXXX1038]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50143": {
+      "content": "[XXXXX447]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50144": {
+      "content": "[XXXXX1043]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50145": {
+      "content": "[XXXXX147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50146": {
+      "content": "[XXXXX1112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50147": {
+      "content": "[XXXXX186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50148": {
+      "content": "[XXXXX461]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50149": {
+      "content": "[XXXXX423]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50150": {
+      "content": "[XXXXX26]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50151": {
+      "content": "[XXXXX227]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50152": {
+      "content": "[XXXXX746]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50153": {
+      "content": "[XXXXX818]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50154": {
+      "content": "[XXXXX725]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50155": {
+      "content": "[XXXXX400]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50156": {
+      "content": "[XXXXX827]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50157": {
+      "content": "[XXXXX1020]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50158": {
+      "content": "[XXXXX1060]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50159": {
+      "content": "[XXXXX195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50160": {
+      "content": "[XXXXX526]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50161": {
+      "content": "[XXXXX570]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50162": {
+      "content": "[XXXXX174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50163": {
+      "content": "[XXXXX333]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50164": {
+      "content": "[XXXXX466]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50165": {
+      "content": "[XXXXX513]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50166": {
+      "content": "[XXXXX695]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50167": {
+      "content": "[XXXXX84]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50168": {
+      "content": "[XXXXX1080]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50169": {
+      "content": "[XXXXX76]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50170": {
+      "content": "[XXXXX742]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50171": {
+      "content": "[XXXXX1008]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50172": {
+      "content": "[XXXXX1123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50173": {
+      "content": "[XXXXX1145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50174": {
+      "content": "[XXXXX701]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50175": {
+      "content": "[XXXXX562]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50176": {
+      "content": "[XXXXX615]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50177": {
+      "content": "[XXXXX389]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50178": {
+      "content": "[XXXXX267]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50179": {
+      "content": "[XXXXX323]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50180": {
+      "content": "[XXXXX346]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50181": {
+      "content": "[XXXXX287]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50182": {
+      "content": "[XXXXX469]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50183": {
+      "content": "[XXXXX58]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50184": {
+      "content": "[XXXXX431]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50185": {
+      "content": "[XXXXX926]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50186": {
+      "content": "[XXXXX1182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50187": {
+      "content": "[XXXXX992]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50188": {
+      "content": "[XXXXX185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50189": {
+      "content": "[XXXXX352]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50190": {
+      "content": "[XXXXX762]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50191": {
+      "content": "[XXXXX991]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50192": {
+      "content": "[XXXXX85]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50193": {
+      "content": "[XXXXX836]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50194": {
+      "content": "[XXXXX460]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50195": {
+      "content": "[XXXXX272]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50196": {
+      "content": "[XXXXX619]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50197": {
+      "content": "[XXXXX759]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50198": {
+      "content": "[XXXXX94]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50199": {
+      "content": "[XXXXX807]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50200": {
+      "content": "[XXXXX299]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50201": {
+      "content": "[XXXXX187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50202": {
+      "content": "[XXXXX486]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50203": {
+      "content": "[XXXXX45]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50204": {
+      "content": "[XXXXX1036]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50205": {
+      "content": "[XXXXX354]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50206": {
+      "content": "[XXXXX386]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50207": {
+      "content": "[XXXXX714]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50208": {
+      "content": "[XXXXX769]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50209": {
+      "content": "[XXXXX304]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50210": {
+      "content": "[XXXXX92]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50211": {
+      "content": "[XXXXX7]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50212": {
+      "content": "[XXXXX31]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50213": {
+      "content": "[XXXXX102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50214": {
+      "content": "[XXXXX163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50215": {
+      "content": "[XXXXX723]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50216": {
+      "content": "[XXXXX1042]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50217": {
+      "content": "[XXXXX452]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50218": {
+      "content": "[XXXXX622]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50219": {
+      "content": "[XXXXX1056]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50220": {
+      "content": "[XXXXX822]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50221": {
+      "content": "[XXXXX125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50222": {
+      "content": "[XXXXX617]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50223": {
+      "content": "[XXXXX34]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50224": {
+      "content": "[XXXXX712]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50225": {
+      "content": "[XXXXX780]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50226": {
+      "content": "[XXXXX547]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50227": {
+      "content": "[XXXXX857]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50228": {
+      "content": "[XXXXX860]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50229": {
+      "content": "[XXXXX897]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50230": {
+      "content": "[XXXXX663]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50231": {
+      "content": "[XXXXX736]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50232": {
+      "content": "[XXXXX202]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50233": {
+      "content": "[XXXXX1029]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50234": {
+      "content": "[XXXXX956]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50235": {
+      "content": "[XXXXX397]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50236": {
+      "content": "[XXXXX239]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50237": {
+      "content": "[XXXXX472]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50238": {
+      "content": "[XXXXX230]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50239": {
+      "content": "[XXXXX796]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50240": {
+      "content": "[XXXXX639]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50241": {
+      "content": "[XXXXX203]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50242": {
+      "content": "[XXXXX231]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50243": {
+      "content": "[XXXXX652]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50244": {
+      "content": "[XXXXX981]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50245": {
+      "content": "[XXXXX911]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50246": {
+      "content": "[XXXXX380]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50247": {
+      "content": "[XXXXX477]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50248": {
+      "content": "[XXXXX952]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50249": {
+      "content": "[XXXXX28]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50250": {
+      "content": "[XXXXX801]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50251": {
+      "content": "[XXXXX1134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50252": {
+      "content": "[XXXXX1176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50253": {
+      "content": "[XXXXX180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50254": {
+      "content": "[XXXXX598]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50255": {
+      "content": "[XXXXX365]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50256": {
+      "content": "[XXXXX729]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50257": {
+      "content": "[XXXXX214]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50258": {
+      "content": "[XXXXX1117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50259": {
+      "content": "[XXXXX278]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50260": {
+      "content": "[XXXXX522]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50261": {
+      "content": "[XXXXX683]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50262": {
+      "content": "[XXXXX731]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50263": {
+      "content": "[XXXXX312]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "[XXXXX1178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50265": {
+      "content": "[XXXXX666]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50266": {
+      "content": "[XXXXX982]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50267": {
+      "content": "[XXXXX414]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50268": {
+      "content": "[XXXXX935]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50269": {
+      "content": "[XXXXX1089]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50270": {
+      "content": "[XXXXX236]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50271": {
+      "content": "[XXXXX463]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50272": {
+      "content": "[XXXXX52]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50273": {
+      "content": "[XXXXX593]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50274": {
+      "content": "[XXXXX508]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50275": {
+      "content": "[XXXXX1125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50276": {
+      "content": "[XXXXX462]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50277": {
+      "content": "[XXXXX32]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50278": {
+      "content": "[XXXXX596]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50279": {
+      "content": "[XXXXX948]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50280": {
+      "content": "[XXXXX150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50281": {
+      "content": "[XXXXX322]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50282": {
+      "content": "[XXXXX390]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50283": {
+      "content": "[XXXXX918]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50284": {
+      "content": "[XXXXX157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50285": {
+      "content": "[XXXXX310]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50286": {
+      "content": "[XXXXX392]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50287": {
+      "content": "[XXXXX649]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50288": {
+      "content": "[XXXXX158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50289": {
+      "content": "[XXXXX430]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50290": {
+      "content": "[XXXXX384]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50291": {
+      "content": "[XXXXX760]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50292": {
+      "content": "[XXXXX700]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50293": {
+      "content": "[XXXXX817]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50294": {
+      "content": "[XXXXX115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50295": {
+      "content": "[XXXXX885]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50296": {
+      "content": "[XXXXX940]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50297": {
+      "content": "[XXXXX997]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50298": {
+      "content": "[XXXXX61]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50299": {
+      "content": "[XXXXX209]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50300": {
+      "content": "[XXXXX316]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50301": {
+      "content": "[XXXXX537]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50302": {
+      "content": "[XXXXX599]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50303": {
+      "content": "[XXXXX680]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50304": {
+      "content": "[XXXXX135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50305": {
+      "content": "[XXXXX39]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50306": {
+      "content": "[XXXXX685]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50307": {
+      "content": "[XXXXX806]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50308": {
+      "content": "[XXXXX870]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50309": {
+      "content": "[XXXXX1096]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50310": {
+      "content": "[XXXXX366]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50311": {
+      "content": "[XXXXX509]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50312": {
+      "content": "[XXXXX943]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50313": {
+      "content": "[XXXXX292]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50314": {
+      "content": "[XXXXX367]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50315": {
+      "content": "[XXXXX632]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50316": {
+      "content": "[XXXXX1136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50317": {
+      "content": "[XXXXX156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50318": {
+      "content": "[XXXXX1100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50319": {
+      "content": "[XXXXX432]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50320": {
+      "content": "[XXXXX514]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50321": {
+      "content": "[XXXXX903]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50322": {
+      "content": "[XXXXX939]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50323": {
+      "content": "[XXXXX986]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50324": {
+      "content": "[XXXXX506]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50325": {
+      "content": "[XXXXX10]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50326": {
+      "content": "[XXXXX573]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50327": {
+      "content": "[XXXXX968]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50328": {
+      "content": "[XXXXX1039]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50329": {
+      "content": "[XXXXX252]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50330": {
+      "content": "[XXXXX612]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50331": {
+      "content": "[XXXXX947]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50332": {
+      "content": "[XXXXX1162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50333": {
+      "content": "[XXXXX733]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50334": {
+      "content": "[XXXXX976]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50335": {
+      "content": "[XXXXX535]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50336": {
+      "content": "[XXXXX710]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50337": {
+      "content": "[XXXXX40]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50338": {
+      "content": "[XXXXX984]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50339": {
+      "content": "[XXXXX584]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50340": {
+      "content": "[XXXXX132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50341": {
+      "content": "[XXXXX1084]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50342": {
+      "content": "[XXXXX549]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50343": {
+      "content": "[XXXXX810]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50344": {
+      "content": "[XXXXX208]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50345": {
+      "content": "[XXXXX609]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50346": {
+      "content": "[XXXXX275]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50347": {
+      "content": "[XXXXX262]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50348": {
+      "content": "[XXXXX331]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50349": {
+      "content": "[XXXXX361]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50350": {
+      "content": "[XXXXX561]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50351": {
+      "content": "[XXXXX143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50352": {
+      "content": "[XXXXX1061]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50353": {
+      "content": "[XXXXX59]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50354": {
+      "content": "[XXXXX21]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50355": {
+      "content": "[XXXXX995]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50356": {
+      "content": "[XXXXX439]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50357": {
+      "content": "[XXXXX831]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50358": {
+      "content": "[XXXXX745]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50359": {
+      "content": "[XXXXX43]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50360": {
+      "content": "[XXXXX498]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50361": {
+      "content": "[XXXXX575]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50362": {
+      "content": "[XXXXX624]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50363": {
+      "content": "[XXXXX72]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50364": {
+      "content": "[XXXXX921]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50365": {
+      "content": "[XXXXX201]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50366": {
+      "content": "[XXXXX1171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50367": {
+      "content": "[XXXXX912]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50368": {
+      "content": "[XXXXX775]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50369": {
+      "content": "[XXXXX1094]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50370": {
+      "content": "[XXXXX80]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50371": {
+      "content": "[XXXXX894]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50372": {
+      "content": "[XXXXX876]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50373": {
+      "content": "[XXXXX1143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50374": {
+      "content": "[XXXXX355]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50375": {
+      "content": "[XXXXX450]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50376": {
+      "content": "[XXXXX642]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50377": {
+      "content": "[XXXXX162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50378": {
+      "content": "[XXXXX394]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50379": {
+      "content": "[XXXXX296]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50380": {
+      "content": "[XXXXX536]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50381": {
+      "content": "[XXXXX560]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50382": {
+      "content": "[XXXXX373]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50383": {
+      "content": "[XXXXX674]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50384": {
+      "content": "[XXXXX1099]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50385": {
+      "content": "[XXXXX797]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50386": {
+      "content": "[XXXXX516]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50387": {
+      "content": "[XXXXX41]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50388": {
+      "content": "[XXXXX594]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50389": {
+      "content": "[XXXXX319]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50390": {
+      "content": "[XXXXX165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50391": {
+      "content": "[XXXXX344]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50392": {
+      "content": "[XXXXX1012]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50393": {
+      "content": "[XXXXX942]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50394": {
+      "content": "[XXXXX1071]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50395": {
+      "content": "[XXXXX648]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50396": {
+      "content": "[XXXXX4]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50397": {
+      "content": "[XXXXX633]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50398": {
+      "content": "[XXXXX551]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50399": {
+      "content": "[XXXXX586]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50400": {
+      "content": "[XXXXX578]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50401": {
+      "content": "[XXXXX348]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50402": {
+      "content": "[XXXXX614]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50403": {
+      "content": "[XXXXX33]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50404": {
+      "content": "[XXXXX1193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50405": {
+      "content": "[XXXXX737]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50406": {
+      "content": "[XXXXX233]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50407": {
+      "content": "[XXXXX933]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50408": {
+      "content": "[XXXXX781]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50409": {
+      "content": "[XXXXX189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50410": {
+      "content": "[XXXXX1006]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50411": {
+      "content": "[XXXXX219]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50412": {
+      "content": "[XXXXX454]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50413": {
+      "content": "[XXXXX449]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50414": {
+      "content": "[XXXXX697]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50415": {
+      "content": "[XXXXX724]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50416": {
+      "content": "[XXXXX224]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50417": {
+      "content": "[XXXXX1157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50418": {
+      "content": "[XXXXX455]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50419": {
+      "content": "[XXXXX505]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50420": {
+      "content": "[XXXXX96]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50421": {
+      "content": "[XXXXX182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50422": {
+      "content": "[XXXXX424]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50423": {
+      "content": "[XXXXX872]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50424": {
+      "content": "[XXXXX1163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50425": {
+      "content": "[XXXXX1081]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50426": {
+      "content": "[XXXXX1173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50427": {
+      "content": "[XXXXX172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50428": {
+      "content": "[XXXXX507]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50429": {
+      "content": "[XXXXX920]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50430": {
+      "content": "[XXXXX1126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50431": {
+      "content": "[XXXXX474]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50432": {
+      "content": "[XXXXX971]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50433": {
+      "content": "[XXXXX1049]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50434": {
+      "content": "[XXXXX1114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50435": {
+      "content": "[XXXXX1040]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50436": {
+      "content": "[XXXXX79]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50437": {
+      "content": "[XXXXX36]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50438": {
+      "content": "[XXXXX977]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50439": {
+      "content": "[XXXXX1129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50440": {
+      "content": "[XXXXX1063]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50441": {
+      "content": "[XXXXX773]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50442": {
+      "content": "[XXXXX16]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50443": {
+      "content": "[XXXXX113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50444": {
+      "content": "[XXXXX320]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50445": {
+      "content": "[XXXXX167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50446": {
+      "content": "[XXXXX751]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50447": {
+      "content": "[XXXXX656]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50448": {
+      "content": "[XXXXX543]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50449": {
+      "content": "[XXXXX828]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50450": {
+      "content": "[XXXXX915]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50451": {
+      "content": "[XXXXX1098]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50452": {
+      "content": "[XXXXX569]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50453": {
+      "content": "[XXXXX1166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50454": {
+      "content": "[XXXXX846]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50455": {
+      "content": "[XXXXX324]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50456": {
+      "content": "[XXXXX802]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50457": {
+      "content": "[XXXXX588]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50458": {
+      "content": "[XXXXX739]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50459": {
+      "content": "[XXXXX50]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50460": {
+      "content": "[XXXXX882]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50461": {
+      "content": "[XXXXX1054]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50462": {
+      "content": "[XXXXX621]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50463": {
+      "content": "[XXXXX585]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50464": {
+      "content": "[XXXXX121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50465": {
+      "content": "[XXXXX647]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50466": {
+      "content": "[XXXXX767]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50467": {
+      "content": "[XXXXX645]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50468": {
+      "content": "[XXXXX27]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50469": {
+      "content": "[XXXXX907]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50470": {
+      "content": "[XXXXX1109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50471": {
+      "content": "[XXXXX1147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50472": {
+      "content": "[XXXXX501]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50473": {
+      "content": "[XXXXX1164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50474": {
+      "content": "[XXXXX650]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50475": {
+      "content": "[XXXXX329]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50476": {
+      "content": "[XXXXX659]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50477": {
+      "content": "[XXXXX1158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50478": {
+      "content": "[XXXXX104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50479": {
+      "content": "[XXXXX629]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50480": {
+      "content": "[XXXXX868]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50481": {
+      "content": "[XXXXX779]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50482": {
+      "content": "[XXXXX17]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50483": {
+      "content": "[XXXXX377]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50484": {
+      "content": "[XXXXX467]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50485": {
+      "content": "[XXXXX917]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50486": {
+      "content": "[XXXXX830]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50487": {
+      "content": "[XXXXX533]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50488": {
+      "content": "[XXXXX862]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50489": {
+      "content": "[XXXXX1041]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50490": {
+      "content": "[XXXXX542]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50491": {
+      "content": "[XXXXX595]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50492": {
+      "content": "[XXXXX353]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50493": {
+      "content": "[XXXXX181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50494": {
+      "content": "[XXXXX662]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50495": {
+      "content": "[XXXXX1195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50496": {
+      "content": "[XXXXX435]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50497": {
+      "content": "[XXXXX1051]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50498": {
+      "content": "[XXXXX703]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50499": {
+      "content": "[XXXXX1140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50500": {
+      "content": "[XXXXX750]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50501": {
+      "content": "[XXXXX57]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50502": {
+      "content": "[XXXXX75]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50503": {
+      "content": "[XXXXX293]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50504": {
+      "content": "[XXXXX681]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50505": {
+      "content": "[XXXXX46]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50506": {
+      "content": "[XXXXX30]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50507": {
+      "content": "[XXXXX402]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50508": {
+      "content": "[XXXXX803]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50509": {
+      "content": "[XXXXX821]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50510": {
+      "content": "[XXXXX871]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50511": {
+      "content": "[XXXXX980]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50512": {
+      "content": "[XXXXX990]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50513": {
+      "content": "[XXXXX626]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50514": {
+      "content": "[XXXXX90]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50515": {
+      "content": "[XXXXX77]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50516": {
+      "content": "[XXXXX819]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50517": {
+      "content": "[XXXXX436]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50518": {
+      "content": "[XXXXX306]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50519": {
+      "content": "[XXXXX434]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50520": {
+      "content": "[XXXXX88]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50521": {
+      "content": "[XXXXX184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50522": {
+      "content": "[XXXXX290]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50523": {
+      "content": "[XXXXX216]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50524": {
+      "content": "[XXXXX176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50525": {
+      "content": "[XXXXX747]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50526": {
+      "content": "[XXXXX938]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50527": {
+      "content": "[XXXXX442]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50528": {
+      "content": "[XXXXX301]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50529": {
+      "content": "[XXXXX1015]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50530": {
+      "content": "[XXXXX520]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50531": {
+      "content": "[XXXXX829]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50532": {
+      "content": "[XXXXX106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50533": {
+      "content": "[XXXXX1048]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50534": {
+      "content": "[XXXXX923]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50535": {
+      "content": "[XXXXX958]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50536": {
+      "content": "[XXXXX1130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50537": {
+      "content": "[XXXXX89]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50538": {
+      "content": "[XXXXX548]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50539": {
+      "content": "[XXXXX863]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50540": {
+      "content": "[XXXXX444]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50541": {
+      "content": "[XXXXX1149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50542": {
+      "content": "[XXXXX866]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50543": {
+      "content": "[XXXXX109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50544": {
+      "content": "[XXXXX550]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50545": {
+      "content": "[XXXXX727]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50546": {
+      "content": "[XXXXX646]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50547": {
+      "content": "[XXXXX702]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50548": {
+      "content": "[XXXXX204]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50549": {
+      "content": "[XXXXX1000]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50550": {
+      "content": "[XXXXX591]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50551": {
+      "content": "[XXXXX1128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50552": {
+      "content": "[XXXXX937]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50553": {
+      "content": "[XXXXX141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50554": {
+      "content": "[XXXXX273]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50555": {
+      "content": "[XXXXX1183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50556": {
+      "content": "[XXXXX765]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50557": {
+      "content": "[XXXXX371]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50558": {
+      "content": "[XXXXX256]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50559": {
+      "content": "[XXXXX964]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50560": {
+      "content": "[XXXXX1148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50561": {
+      "content": "[XXXXX930]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50562": {
+      "content": "[XXXXX212]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50563": {
+      "content": "[XXXXX133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50564": {
+      "content": "[XXXXX608]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50565": {
+      "content": "[XXXXX281]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50566": {
+      "content": "[XXXXX1045]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50567": {
+      "content": "[XXXXX928]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50568": {
+      "content": "[XXXXX1154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50569": {
+      "content": "[XXXXX334]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50570": {
+      "content": "[XXXXX861]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50571": {
+      "content": "[XXXXX87]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50572": {
+      "content": "[XXXXX941]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50573": {
+      "content": "[XXXXX359]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50574": {
+      "content": "[XXXXX55]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50575": {
+      "content": "[XXXXX842]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50576": {
+      "content": "[XXXXX427]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50577": {
+      "content": "[XXXXX491]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50578": {
+      "content": "[XXXXX137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50579": {
+      "content": "[XXXXX47]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50580": {
+      "content": "[XXXXX511]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50581": {
+      "content": "[XXXXX81]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50582": {
+      "content": "[XXXXX139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50583": {
+      "content": "[XXXXX226]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50584": {
+      "content": "[XXXXX563]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50585": {
+      "content": "[XXXXX708]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50586": {
+      "content": "[XXXXX820]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50587": {
+      "content": "[XXXXX65]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50588": {
+      "content": "[XXXXX381]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50589": {
+      "content": "[XXXXX22]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50590": {
+      "content": "[XXXXX1064]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50591": {
+      "content": "[XXXXX874]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50592": {
+      "content": "[XXXXX944]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50593": {
+      "content": "[XXXXX6]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50594": {
+      "content": "[XXXXX313]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50595": {
+      "content": "[XXXXX471]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50596": {
+      "content": "[XXXXX1118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50597": {
+      "content": "[XXXXX849]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50598": {
+      "content": "[XXXXX483]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50599": {
+      "content": "[XXXXX713]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50600": {
+      "content": "[XXXXX222]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50601": {
+      "content": "[XXXXX640]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50602": {
+      "content": "[XXXXX12]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50603": {
+      "content": "[XXXXX285]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50604": {
+      "content": "[XXXXX327]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50605": {
+      "content": "[XXXXX378]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50606": {
+      "content": "[XXXXX790]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50607": {
+      "content": "[XXXXX1179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50608": {
+      "content": "[XXXXX15]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50609": {
+      "content": "[XXXXX229]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50610": {
+      "content": "[XXXXX771]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50611": {
+      "content": "[XXXXX559]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50612": {
+      "content": "[XXXXX253]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50613": {
+      "content": "[XXXXX644]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50614": {
+      "content": "[XXXXX811]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50615": {
+      "content": "[XXXXX554]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50616": {
+      "content": "[XXXXX744]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50617": {
+      "content": "[XXXXX786]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50618": {
+      "content": "[XXXXX913]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50619": {
+      "content": "[XXXXX966]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50620": {
+      "content": "[XXXXX972]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50621": {
+      "content": "[XXXXX664]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50622": {
+      "content": "[XXXXX1131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50623": {
+      "content": "[XXXXX1132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50624": {
+      "content": "[XXXXX376]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50625": {
+      "content": "[XXXXX672]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50626": {
+      "content": "[XXXXX1013]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50627": {
+      "content": "[XXXXX328]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50628": {
+      "content": "[XXXXX889]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50629": {
+      "content": "[XXXXX1141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50630": {
+      "content": "[XXXXX429]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50631": {
+      "content": "[XXXXX114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50632": {
+      "content": "[XXXXX523]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50633": {
+      "content": "[XXXXX833]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50634": {
+      "content": "[XXXXX927]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50635": {
+      "content": "[XXXXX297]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50636": {
+      "content": "[XXXXX812]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50637": {
+      "content": "[XXXXX1062]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50638": {
+      "content": "[XXXXX152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50639": {
+      "content": "[XXXXX1010]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50640": {
+      "content": "[XXXXX690]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50641": {
+      "content": "[XXXXX363]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50642": {
+      "content": "[XXXXX1103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50643": {
+      "content": "[XXXXX194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50644": {
+      "content": "[XXXXX844]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50645": {
+      "content": "[XXXXX667]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50646": {
+      "content": "[XXXXX720]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50647": {
+      "content": "[XXXXX770]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50648": {
+      "content": "[XXXXX515]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50649": {
+      "content": "[XXXXX196]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50650": {
+      "content": "[XXXXX283]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50651": {
+      "content": "[XXXXX95]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50652": {
+      "content": "[XXXXX528]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50653": {
+      "content": "[XXXXX749]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50654": {
+      "content": "[XXXXX934]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50655": {
+      "content": "[XXXXX1052]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50656": {
+      "content": "[XXXXX1188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50657": {
+      "content": "[XXXXX1001]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50658": {
+      "content": "[XXXXX785]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50659": {
+      "content": "[XXXXX393]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50660": {
+      "content": "[XXXXX502]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50661": {
+      "content": "[XXXXX404]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50662": {
+      "content": "[XXXXX129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50663": {
+      "content": "[XXXXX643]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50664": {
+      "content": "[XXXXX1086]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50665": {
+      "content": "[XXXXX1104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50666": {
+      "content": "[XXXXX326]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50667": {
+      "content": "[XXXXX330]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50668": {
+      "content": "[XXXXX620]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50669": {
+      "content": "[XXXXX193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50670": {
+      "content": "[XXXXX470]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50671": {
+      "content": "[XXXXX279]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50672": {
+      "content": "[XXXXX97]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50673": {
+      "content": "[XXXXX177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50674": {
+      "content": "[XXXXX510]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50675": {
+      "content": "[XXXXX225]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50676": {
+      "content": "[XXXXX572]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50677": {
+      "content": "[XXXXX777]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50678": {
+      "content": "[XXXXX1135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50679": {
+      "content": "[XXXXX1160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50680": {
+      "content": "[XXXXX558]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50681": {
+      "content": "[XXXXX416]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50682": {
+      "content": "[XXXXX246]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50683": {
+      "content": "[XXXXX799]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50684": {
+      "content": "[XXXXX153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50685": {
+      "content": "[XXXXX671]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50686": {
+      "content": "[XXXXX809]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50687": {
+      "content": "[XXXXX525]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50688": {
+      "content": "[XXXXX1004]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50689": {
+      "content": "[XXXXX1005]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50690": {
+      "content": "[XXXXX1194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50691": {
+      "content": "[XXXXX408]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50692": {
+      "content": "[XXXXX492]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50693": {
+      "content": "[XXXXX973]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50694": {
+      "content": "[XXXXX242]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50695": {
+      "content": "[XXXXX357]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50696": {
+      "content": "[XXXXX851]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50697": {
+      "content": "[XXXXX999]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50698": {
+      "content": "[XXXXX969]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50699": {
+      "content": "[XXXXX453]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50700": {
+      "content": "[XXXXX730]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50701": {
+      "content": "[XXXXX54]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50702": {
+      "content": "[XXXXX480]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50703": {
+      "content": "[XXXXX564]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50704": {
+      "content": "[XXXXX600]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50705": {
+      "content": "[XXXXX654]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50706": {
+      "content": "[XXXXX37]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50707": {
+      "content": "[XXXXX605]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50708": {
+      "content": "[XXXXX164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50709": {
+      "content": "[XXXXX395]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50710": {
+      "content": "[XXXXX401]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50711": {
+      "content": "[XXXXX446]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50712": {
+      "content": "[XXXXX658]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50713": {
+      "content": "[XXXXX60]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50714": {
+      "content": "[XXXXX107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50715": {
+      "content": "[XXXXX131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50716": {
+      "content": "[XXXXX387]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50717": {
+      "content": "[XXXXX67]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50718": {
+      "content": "[XXXXX743]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50719": {
+      "content": "[XXXXX657]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50720": {
+      "content": "[XXXXX418]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50721": {
+      "content": "[XXXXX787]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50722": {
+      "content": "[XXXXX838]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50723": {
+      "content": "[XXXXX298]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50724": {
+      "content": "[XXXXX1007]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50725": {
+      "content": "[XXXXX1027]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50726": {
+      "content": "[XXXXX1078]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50727": {
+      "content": "[XXXXX651]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50728": {
+      "content": "[XXXXX875]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50729": {
+      "content": "[XXXXX258]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50730": {
+      "content": "[XXXXX413]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50731": {
+      "content": "[XXXXX1092]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50732": {
+      "content": "[XXXXX124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50733": {
+      "content": "[XXXXX308]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50734": {
+      "content": "[XXXXX1085]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50735": {
+      "content": "[XXXXX1170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50736": {
+      "content": "[XXXXX38]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50737": {
+      "content": "[XXXXX438]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50738": {
+      "content": "[XXXXX475]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50739": {
+      "content": "[XXXXX900]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50740": {
+      "content": "[XXXXX263]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50741": {
+      "content": "[XXXXX166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50742": {
+      "content": "[XXXXX698]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50743": {
+      "content": "[XXXXX1127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50744": {
+      "content": "[XXXXX1181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50745": {
+      "content": "[XXXXX763]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50746": {
+      "content": "[XXXXX627]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50747": {
+      "content": "[XXXXX250]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50748": {
+      "content": "[XXXXX757]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50749": {
+      "content": "[XXXXX142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50750": {
+      "content": "[XXXXX794]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50751": {
+      "content": "[XXXXX128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50752": {
+      "content": "[XXXXX35]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50753": {
+      "content": "[XXXXX482]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50754": {
+      "content": "[XXXXX834]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50755": {
+      "content": "[XXXXX679]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50756": {
+      "content": "[XXXXX839]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50757": {
+      "content": "[XXXXX138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50758": {
+      "content": "[XXXXX1066]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50759": {
+      "content": "[XXXXX116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50760": {
+      "content": "[XXXXX317]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50761": {
+      "content": "[XXXXX490]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50762": {
+      "content": "[XXXXX443]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50763": {
+      "content": "[XXXXX879]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50764": {
+      "content": "[XXXXX1101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50765": {
+      "content": "[XXXXX711]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50766": {
+      "content": "[XXXXX123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50767": {
+      "content": "[XXXXX1152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50768": {
+      "content": "[XXXXX692]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50769": {
+      "content": "[XXXXX555]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50770": {
+      "content": "[XXXXX266]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50771": {
+      "content": "[XXXXX0]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50772": {
+      "content": "[XXXXX332]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50773": {
+      "content": "[XXXXX497]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50774": {
+      "content": "[XXXXX904]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50775": {
+      "content": "[XXXXX1019]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50776": {
+      "content": "[XXXXX709]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50777": {
+      "content": "[XXXXX351]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50778": {
+      "content": "[XXXXX764]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50779": {
+      "content": "[XXXXX625]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50780": {
+      "content": "[XXXXX798]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50781": {
+      "content": "[XXXXX205]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50782": {
+      "content": "[XXXXX922]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50783": {
+      "content": "[XXXXX1075]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50784": {
+      "content": "[XXXXX8]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50785": {
+      "content": "[XXXXX422]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50786": {
+      "content": "[XXXXX638]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50787": {
+      "content": "[XXXXX98]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50788": {
+      "content": "[XXXXX814]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50789": {
+      "content": "[XXXXX1057]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50790": {
+      "content": "[XXXXX1070]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50791": {
+      "content": "[XXXXX411]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50792": {
+      "content": "[XXXXX768]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50793": {
+      "content": "[XXXXX1165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50794": {
+      "content": "[XXXXX888]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50795": {
+      "content": "[XXXXX636]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50796": {
+      "content": "[XXXXX1047]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50797": {
+      "content": "[XXXXX960]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50798": {
+      "content": "[XXXXX910]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50799": {
+      "content": "[XXXXX42]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50800": {
+      "content": "[XXXXX238]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50801": {
+      "content": "[XXXXX383]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50802": {
+      "content": "[XXXXX1032]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50803": {
+      "content": "[XXXXX577]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50804": {
+      "content": "[XXXXX268]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50805": {
+      "content": "[XXXXX179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50806": {
+      "content": "[XXXXX1076]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50807": {
+      "content": "[XXXXX1167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50808": {
+      "content": "[XXXXX1172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50809": {
+      "content": "[XXXXX665]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50810": {
+      "content": "[XXXXX126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50811": {
+      "content": "[XXXXX347]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50812": {
+      "content": "[XXXXX544]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50813": {
+      "content": "[XXXXX1026]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50814": {
+      "content": "[XXXXX159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50815": {
+      "content": "[XXXXX503]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50816": {
+      "content": "[XXXXX583]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50817": {
+      "content": "[XXXXX668]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50818": {
+      "content": "[XXXXX1115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50819": {
+      "content": "[XXXXX112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50820": {
+      "content": "[XXXXX154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50821": {
+      "content": "[XXXXX761]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50822": {
+      "content": "[XXXXX540]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50823": {
+      "content": "[XXXXX755]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50824": {
+      "content": "[XXXXX255]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50825": {
+      "content": "[XXXXX459]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50826": {
+      "content": "[XXXXX1090]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50827": {
+      "content": "[XXXXX689]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50828": {
+      "content": "[XXXXX589]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50829": {
+      "content": "[XXXXX122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50830": {
+      "content": "[XXXXX789]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50831": {
+      "content": "[XXXXX481]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50832": {
+      "content": "[XXXXX1044]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50833": {
+      "content": "[XXXXX274]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50834": {
+      "content": "[XXXXX957]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50835": {
+      "content": "[XXXXX1121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50836": {
+      "content": "[XXXXX464]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50837": {
+      "content": "[XXXXX495]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50838": {
+      "content": "[XXXXX1097]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50839": {
+      "content": "[XXXXX581]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50840": {
+      "content": "[XXXXX200]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50841": {
+      "content": "[XXXXX954]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50842": {
+      "content": "[XXXXX48]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50843": {
+      "content": "[XXXXX855]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50844": {
+      "content": "[XXXXX419]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50845": {
+      "content": "[XXXXX919]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50846": {
+      "content": "[XXXXX451]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50847": {
+      "content": "[XXXXX869]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50848": {
+      "content": "[XXXXX1082]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50849": {
+      "content": "[XXXXX1185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50850": {
+      "content": "[XXXXX859]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50851": {
+      "content": "[XXXXX1139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50852": {
+      "content": "[XXXXX1072]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50853": {
+      "content": "[XXXXX220]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50854": {
+      "content": "[XXXXX465]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50855": {
+      "content": "[XXXXX1105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50856": {
+      "content": "[XXXXX1093]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50857": {
+      "content": "[XXXXX953]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50858": {
+      "content": "[XXXXX1187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50859": {
+      "content": "[XXXXX311]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50860": {
+      "content": "[XXXXX403]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50861": {
+      "content": "[XXXXX684]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50862": {
+      "content": "[XXXXX426]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50863": {
+      "content": "[XXXXX68]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50864": {
+      "content": "[XXXXX277]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50865": {
+      "content": "[XXXXX437]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50866": {
+      "content": "[XXXXX896]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50867": {
+      "content": "[XXXXX899]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50868": {
+      "content": "[XXXXX878]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50869": {
+      "content": "[XXXXX1073]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50870": {
+      "content": "[XXXXX774]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50871": {
+      "content": "[XXXXX315]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50872": {
+      "content": "[XXXXX631]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50873": {
+      "content": "[XXXXX223]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50874": {
+      "content": "[XXXXX86]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50875": {
+      "content": "[XXXXX607]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50876": {
+      "content": "[XXXXX149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50877": {
+      "content": "[XXXXX566]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50878": {
+      "content": "[XXXXX740]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50879": {
+      "content": "[XXXXX265]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50880": {
+      "content": "[XXXXX399]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50881": {
+      "content": "[XXXXX1053]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50882": {
+      "content": "[XXXXX1077]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50883": {
+      "content": "[XXXXX336]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50884": {
+      "content": "[XXXXX734]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50885": {
+      "content": "[XXXXX289]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50886": {
+      "content": "[XXXXX221]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50887": {
+      "content": "[XXXXX580]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50888": {
+      "content": "[XXXXX406]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50889": {
+      "content": "[XXXXX854]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50890": {
+      "content": "[XXXXX673]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50891": {
+      "content": "[XXXXX1146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50892": {
+      "content": "[XXXXX29]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50893": {
+      "content": "[XXXXX496]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50894": {
+      "content": "[XXXXX241]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50895": {
+      "content": "[XXXXX929]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50896": {
+      "content": "[XXXXX169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50897": {
+      "content": "[XXXXX1153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50898": {
+      "content": "[XXXXX440]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50899": {
+      "content": "[XXXXX385]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50900": {
+      "content": "[XXXXX499]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50901": {
+      "content": "[XXXXX718]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50902": {
+      "content": "[XXXXX848]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50903": {
+      "content": "[XXXXX877]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50904": {
+      "content": "[XXXXX641]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50905": {
+      "content": "[XXXXX1137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50906": {
+      "content": "[XXXXX269]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50907": {
+      "content": "[XXXXX521]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50908": {
+      "content": "[XXXXX234]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50909": {
+      "content": "[XXXXX987]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50910": {
+      "content": "[XXXXX741]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50911": {
+      "content": "[XXXXX349]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50912": {
+      "content": "[XXXXX93]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50913": {
+      "content": "[XXXXX247]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50914": {
+      "content": "[XXXXX961]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50915": {
+      "content": "[XXXXX1120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50916": {
+      "content": "[XXXXX369]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50917": {
+      "content": "[XXXXX479]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50918": {
+      "content": "[XXXXX892]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50919": {
+      "content": "[XXXXX553]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50920": {
+      "content": "[XXXXX906]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50921": {
+      "content": "[XXXXX571]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50922": {
+      "content": "[XXXXX1046]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50923": {
+      "content": "[XXXXX206]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50924": {
+      "content": "[XXXXX488]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50925": {
+      "content": "[XXXXX445]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50926": {
+      "content": "[XXXXX524]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50927": {
+      "content": "[XXXXX228]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50928": {
+      "content": "[XXXXX998]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50929": {
+      "content": "[XXXXX675]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50930": {
+      "content": "[XXXXX732]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50931": {
+      "content": "[XXXXX1028]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50932": {
+      "content": "[XXXXX494]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50933": {
+      "content": "[XXXXX965]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50934": {
+      "content": "[XXXXX1021]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50935": {
+      "content": "[XXXXX726]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50936": {
+      "content": "[XXXXX168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50937": {
+      "content": "[XXXXX606]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50938": {
+      "content": "[XXXXX974]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50939": {
+      "content": "[XXXXX504]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50940": {
+      "content": "[XXXXX556]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50941": {
+      "content": "[XXXXX1159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50942": {
+      "content": "[XXXXX417]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50943": {
+      "content": "[XXXXX1175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50944": {
+      "content": "[XXXXX1142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50945": {
+      "content": "[XXXXX753]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50946": {
+      "content": "[XXXXX824]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50947": {
+      "content": "[XXXXX251]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50948": {
+      "content": "[XXXXX345]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50949": {
+      "content": "[XXXXX610]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50950": {
+      "content": "[XXXXX276]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50951": {
+      "content": "[XXXXX783]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50952": {
+      "content": "[XXXXX74]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50953": {
+      "content": "[XXXXX1050]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50954": {
+      "content": "[XXXXX71]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50955": {
+      "content": "[XXXXX360]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50956": {
+      "content": "[XXXXX512]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50957": {
+      "content": "[XXXXX341]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50958": {
+      "content": "[XXXXX375]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50959": {
+      "content": "[XXXXX637]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50960": {
+      "content": "[XXXXX1116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50961": {
+      "content": "[XXXXX9]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50962": {
+      "content": "[XXXXX738]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50963": {
+      "content": "[XXXXX856]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50964": {
+      "content": "[XXXXX979]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50965": {
+      "content": "[XXXXX825]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50966": {
+      "content": "[XXXXX852]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50967": {
+      "content": "[XXXXX215]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50968": {
+      "content": "[XXXXX91]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50969": {
+      "content": "[XXXXX257]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50970": {
+      "content": "[XXXXX325]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50971": {
+      "content": "[XXXXX368]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50972": {
+      "content": "[XXXXX1124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50973": {
+      "content": "[XXXXX188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50974": {
+      "content": "[XXXXX905]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50975": {
+      "content": "[XXXXX284]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50976": {
+      "content": "[XXXXX11]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50977": {
+      "content": "[XXXXX83]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50978": {
+      "content": "[XXXXX611]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50979": {
+      "content": "[XXXXX51]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50980": {
+      "content": "[XXXXX99]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50981": {
+      "content": "[XXXXX288]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50982": {
+      "content": "[XXXXX945]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50983": {
+      "content": "[XXXXX975]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50984": {
+      "content": "[XXXXX282]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50985": {
+      "content": "[XXXXX1068]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50986": {
+      "content": "[XXXXX1180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50987": {
+      "content": "[XXXXX574]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50988": {
+      "content": "[XXXXX305]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50989": {
+      "content": "[XXXXX565]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50990": {
+      "content": "[XXXXX865]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50991": {
+      "content": "[XXXXX1014]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50992": {
+      "content": "[XXXXX1138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50993": {
+      "content": "[XXXXX134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50994": {
+      "content": "[XXXXX321]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50995": {
+      "content": "[XXXXX752]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50996": {
+      "content": "[XXXXX108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50997": {
+      "content": "[XXXXX339]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50998": {
+      "content": "[XXXXX893]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50999": {
+      "content": "[XXXXX1177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51000": {
+      "content": "[XXXXX988]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51001": {
+      "content": "[XXXXX719]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51002": {
+      "content": "[XXXXX1059]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51003": {
+      "content": "[XXXXX421]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51004": {
+      "content": "[XXXXX670]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51005": {
+      "content": "[XXXXX949]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51006": {
+      "content": "[XXXXX14]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51007": {
+      "content": "[XXXXX1087]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51008": {
+      "content": "[XXXXX382]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51009": {
+      "content": "[XXXXX531]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51010": {
+      "content": "[XXXXX1079]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51011": {
+      "content": "[XXXXX1067]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51012": {
+      "content": "[XXXXX655]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51013": {
+      "content": "[XXXXX340]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51014": {
+      "content": "[XXXXX398]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51015": {
+      "content": "[XXXXX175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51016": {
+      "content": "[XXXXX232]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51017": {
+      "content": "[XXXXX244]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51018": {
+      "content": "[XXXXX568]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51019": {
+      "content": "[XXXXX1110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51020": {
+      "content": "[XXXXX191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51021": {
+      "content": "[XXXXX931]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51022": {
+      "content": "[XXXXX832]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51023": {
+      "content": "[XXXXX1030]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51024": {
+      "content": "[XXXXX144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51025": {
+      "content": "[XXXXX1102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51026": {
+      "content": "[XXXXX300]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51027": {
+      "content": "[XXXXX996]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51028": {
+      "content": "[XXXXX248]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51029": {
+      "content": "[XXXXX66]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51030": {
+      "content": "[XXXXX735]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51031": {
+      "content": "[XXXXX20]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51032": {
+      "content": "[XXXXX694]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51033": {
+      "content": "[XXXXX845]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51034": {
+      "content": "[XXXXX500]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51035": {
+      "content": "[XXXXX613]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51036": {
+      "content": "[XXXXX117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51037": {
+      "content": "[XXXXX886]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51038": {
+      "content": "[XXXXX261]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51039": {
+      "content": "[XXXXX567]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51040": {
+      "content": "[XXXXX541]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51041": {
+      "content": "[XXXXX529]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51042": {
+      "content": "[XXXXX699]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51043": {
+      "content": "[XXXXX715]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51044": {
+      "content": "[XXXXX1003]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51045": {
+      "content": "[XXXXX518]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51046": {
+      "content": "[XXXXX891]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51047": {
+      "content": "[XXXXX192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51048": {
+      "content": "[XXXXX53]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51049": {
+      "content": "[XXXXX428]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51050": {
+      "content": "[XXXXX183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51051": {
+      "content": "[XXXXX850]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51052": {
+      "content": "[XXXXX539]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51053": {
+      "content": "[XXXXX527]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51054": {
+      "content": "[XXXXX660]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51055": {
+      "content": "[XXXXX409]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51056": {
+      "content": "[XXXXX1122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51057": {
+      "content": "[XXXXX898]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51058": {
+      "content": "[XXXXX858]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51059": {
+      "content": "[XXXXX534]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51060": {
+      "content": "[XXXXX756]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51061": {
+      "content": "[XXXXX63]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51062": {
+      "content": "[XXXXX49]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51063": {
+      "content": "[XXXXX1106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51064": {
+      "content": "[XXXXX111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51065": {
+      "content": "[XXXXX955]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51066": {
+      "content": "[XXXXX309]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51067": {
+      "content": "[XXXXX538]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51068": {
+      "content": "[XXXXX823]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51069": {
+      "content": "[XXXXX867]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51070": {
+      "content": "[XXXXX587]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51071": {
+      "content": "[XXXXX243]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51072": {
+      "content": "[XXXXX677]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51073": {
+      "content": "[XXXXX1017]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51074": {
+      "content": "[XXXXX173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51075": {
+      "content": "[XXXXX682]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51076": {
+      "content": "[XXXXX1184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51077": {
+      "content": "[XXXXX1009]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51078": {
+      "content": "[XXXXX704]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51079": {
+      "content": "[XXXXX532]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51080": {
+      "content": "[XXXXX901]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51081": {
+      "content": "[XXXXX120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51082": {
+      "content": "[XXXXX388]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51083": {
+      "content": "[XXXXX405]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51084": {
+      "content": "[XXXXX788]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51085": {
+      "content": "[XXXXX728]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51086": {
+      "content": "[XXXXX425]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51087": {
+      "content": "[XXXXX883]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51088": {
+      "content": "[XXXXX837]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51089": {
+      "content": "[XXXXX350]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51090": {
+      "content": "[XXXXX716]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51091": {
+      "content": "[XXXXX579]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51092": {
+      "content": "[XXXXX909]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51093": {
+      "content": "[XXXXX884]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51094": {
+      "content": "[XXXXX1011]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51095": {
+      "content": "[XXXXX372]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51096": {
+      "content": "[XXXXX370]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51097": {
+      "content": "[XXXXX468]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51098": {
+      "content": "[XXXXX688]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51099": {
+      "content": "[XXXXX56]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51100": {
+      "content": "[XXXXX653]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51101": {
+      "content": "[XXXXX623]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51102": {
+      "content": "[XXXXX552]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51103": {
+      "content": "[XXXXX314]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51104": {
+      "content": "[XXXXX1018]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51105": {
+      "content": "[XXXXX1091]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51106": {
+      "content": "[XXXXX342]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51107": {
+      "content": "[XXXXX1065]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51108": {
+      "content": "[XXXXX1161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51109": {
+      "content": "[XXXXX959]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51110": {
+      "content": "[XXXXX1035]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51111": {
+      "content": "[XXXXX530]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51112": {
+      "content": "[XXXXX69]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51113": {
+      "content": "[XXXXX489]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51114": {
+      "content": "[XXXXX1]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51115": {
+      "content": "[XXXXX207]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51116": {
+      "content": "[XXXXX433]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51117": {
+      "content": "[XXXXX358]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51118": {
+      "content": "[XXXXX601]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51119": {
+      "content": "[XXXXX2]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51120": {
+      "content": "[XXXXX722]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51121": {
+      "content": "[XXXXX985]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51122": {
+      "content": "[XXXXX908]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51123": {
+      "content": "[XXXXX1024]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51124": {
+      "content": "[XXXXX1111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51125": {
+      "content": "[XXXXX1113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51126": {
+      "content": "[XXXXX678]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51127": {
+      "content": "[XXXXX19]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51128": {
+      "content": "[XXXXX1186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51129": {
+      "content": "[XXXXX808]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51130": {
+      "content": "[XXXXX493]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51131": {
+      "content": "[XXXXX1155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51132": {
+      "content": "[XXXXX217]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51133": {
+      "content": "[XXXXX616]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51134": {
+      "content": "[XXXXX835]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51135": {
+      "content": "[XXXXX994]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51136": {
+      "content": "[XXXXX484]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51137": {
+      "content": "[XXXXX362]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51138": {
+      "content": "[XXXXX582]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51139": {
+      "content": "[XXXXX1034]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51140": {
+      "content": "[XXXXX772]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51141": {
+      "content": "[XXXXX457]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51142": {
+      "content": "[XXXXX604]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51143": {
+      "content": "[XXXXX456]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51144": {
+      "content": "[XXXXX145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51145": {
+      "content": "[XXXXX476]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51146": {
+      "content": "[XXXXX218]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51147": {
+      "content": "[XXXXX199]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51148": {
+      "content": "[XXXXX364]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51149": {
+      "content": "[XXXXX302]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51150": {
+      "content": "[XXXXX881]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51151": {
+      "content": "[XXXXX1088]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51152": {
+      "content": "[XXXXX356]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51153": {
+      "content": "[XXXXX936]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51154": {
+      "content": "[XXXXX978]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51155": {
+      "content": "[XXXXX895]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51156": {
+      "content": "[XXXXX993]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51157": {
+      "content": "[XXXXX458]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51158": {
+      "content": "[XXXXX1002]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51159": {
+      "content": "[XXXXX1022]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51160": {
+      "content": "[XXXXX25]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51161": {
+      "content": "[XXXXX766]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51162": {
+      "content": "[XXXXX64]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51163": {
+      "content": "[XXXXX211]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51164": {
+      "content": "[XXXXX82]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51165": {
+      "content": "[XXXXX634]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51166": {
+      "content": "[XXXXX661]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51167": {
+      "content": "[XXXXX748]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51168": {
+      "content": "[XXXXX778]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51169": {
+      "content": "[XXXXX24]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51170": {
+      "content": "[XXXXX448]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51171": {
+      "content": "[XXXXX887]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51172": {
+      "content": "[XXXXX890]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51173": {
+      "content": "[XXXXX754]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51174": {
+      "content": "[XXXXX343]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51175": {
+      "content": "[XXXXX1069]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51176": {
+      "content": "[XXXXX294]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51177": {
+      "content": "[XXXXX295]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51178": {
+      "content": "[XXXXX197]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51179": {
+      "content": "[XXXXX210]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51180": {
+      "content": "[XXXXX630]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51181": {
+      "content": "[XXXXX707]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51182": {
+      "content": "[XXXXX864]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51183": {
+      "content": "[XXXXX391]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51184": {
+      "content": "[XXXXX338]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51185": {
+      "content": "[XXXXX800]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51186": {
+      "content": "[XXXXX841]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51187": {
+      "content": "[XXXXX967]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51188": {
+      "content": "[XXXXX793]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51189": {
+      "content": "[XXXXX916]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51190": {
+      "content": "[XXXXX603]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51191": {
+      "content": "[XXXXX270]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51192": {
+      "content": "[XXXXX105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51193": {
+      "content": "[XXXXX1016]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51194": {
+      "content": "[XXXXX804]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51195": {
+      "content": "[XXXXX264]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51196": {
+      "content": "[XXXXX155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51197": {
+      "content": "[XXXXX1190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51198": {
+      "content": "[XXXXX813]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51199": {
+      "content": "[XXXXX546]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "keep_accents": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}
diff --git a/checkpoint-6500/trainer_state.json b/checkpoint-6500/trainer_state.json
new file mode 100644
index 0000000..6a39523
--- /dev/null
+++ b/checkpoint-6500/trainer_state.json
@@ -0,0 +1,13177 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 5.385252692626346,
+  "eval_steps": 500,
+  "global_step": 6500,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "entropy": 7.218191003799438,
+      "epoch": 0.004142502071251036,
+      "grad_norm": 1.265625,
+      "learning_rate": 2e-06,
+      "loss": 6.8898,
+      "mean_token_accuracy": 0.08805170804262161,
+      "num_tokens": 9149.0,
+      "step": 5
+    },
+    {
+      "entropy": 7.191673707962036,
+      "epoch": 0.008285004142502071,
+      "grad_norm": 1.5078125,
+      "learning_rate": 4.5e-06,
+      "loss": 6.7268,
+      "mean_token_accuracy": 0.09304728880524635,
+      "num_tokens": 16800.0,
+      "step": 10
+    },
+    {
+      "entropy": 7.134524202346801,
+      "epoch": 0.012427506213753107,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7e-06,
+      "loss": 6.8905,
+      "mean_token_accuracy": 0.0921505056321621,
+      "num_tokens": 26617.0,
+      "step": 15
+    },
+    {
+      "entropy": 7.115550088882446,
+      "epoch": 0.016570008285004142,
+      "grad_norm": 1.25,
+      "learning_rate": 9.5e-06,
+      "loss": 6.8021,
+      "mean_token_accuracy": 0.09268744736909866,
+      "num_tokens": 35855.0,
+      "step": 20
+    },
+    {
+      "entropy": 7.12396879196167,
+      "epoch": 0.020712510356255178,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.2e-05,
+      "loss": 7.0094,
+      "mean_token_accuracy": 0.08752714470028877,
+      "num_tokens": 45644.0,
+      "step": 25
+    },
+    {
+      "entropy": 7.054446792602539,
+      "epoch": 0.024855012427506214,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.4500000000000002e-05,
+      "loss": 6.8922,
+      "mean_token_accuracy": 0.09398627206683159,
+      "num_tokens": 54641.0,
+      "step": 30
+    },
+    {
+      "entropy": 7.012255907058716,
+      "epoch": 0.02899751449875725,
+      "grad_norm": 1.0234375,
+      "learning_rate": 1.7000000000000003e-05,
+      "loss": 6.7519,
+      "mean_token_accuracy": 0.08958807587623596,
+      "num_tokens": 63924.0,
+      "step": 35
+    },
+    {
+      "entropy": 7.068031549453735,
+      "epoch": 0.033140016570008285,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.95e-05,
+      "loss": 6.89,
+      "mean_token_accuracy": 0.09437783882021904,
+      "num_tokens": 73452.0,
+      "step": 40
+    },
+    {
+      "entropy": 7.06072301864624,
+      "epoch": 0.037282518641259324,
+      "grad_norm": 1.0234375,
+      "learning_rate": 2.2e-05,
+      "loss": 6.9455,
+      "mean_token_accuracy": 0.0851291574537754,
+      "num_tokens": 82731.0,
+      "step": 45
+    },
+    {
+      "entropy": 7.090083169937134,
+      "epoch": 0.041425020712510356,
+      "grad_norm": 1.1015625,
+      "learning_rate": 2.4500000000000003e-05,
+      "loss": 6.7734,
+      "mean_token_accuracy": 0.09048294499516488,
+      "num_tokens": 92626.0,
+      "step": 50
+    },
+    {
+      "entropy": 7.149203157424926,
+      "epoch": 0.045567522783761395,
+      "grad_norm": 1.21875,
+      "learning_rate": 2.7e-05,
+      "loss": 6.9497,
+      "mean_token_accuracy": 0.08217904865741729,
+      "num_tokens": 101380.0,
+      "step": 55
+    },
+    {
+      "entropy": 7.119951963424683,
+      "epoch": 0.04971002485501243,
+      "grad_norm": 1.046875,
+      "learning_rate": 2.95e-05,
+      "loss": 6.8604,
+      "mean_token_accuracy": 0.09202293381094932,
+      "num_tokens": 109895.0,
+      "step": 60
+    },
+    {
+      "entropy": 7.2014998435974125,
+      "epoch": 0.053852526926263466,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.2e-05,
+      "loss": 6.8449,
+      "mean_token_accuracy": 0.09257669150829315,
+      "num_tokens": 119203.0,
+      "step": 65
+    },
+    {
+      "entropy": 7.1111664295196535,
+      "epoch": 0.0579950289975145,
+      "grad_norm": 1.1484375,
+      "learning_rate": 3.4500000000000005e-05,
+      "loss": 6.7903,
+      "mean_token_accuracy": 0.09657297283411026,
+      "num_tokens": 127572.0,
+      "step": 70
+    },
+    {
+      "entropy": 7.04930944442749,
+      "epoch": 0.06213753106876554,
+      "grad_norm": 1.03125,
+      "learning_rate": 3.7e-05,
+      "loss": 6.8304,
+      "mean_token_accuracy": 0.09063600301742554,
+      "num_tokens": 137161.0,
+      "step": 75
+    },
+    {
+      "entropy": 7.044711875915527,
+      "epoch": 0.06628003314001657,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.95e-05,
+      "loss": 6.9451,
+      "mean_token_accuracy": 0.08874713778495788,
+      "num_tokens": 145991.0,
+      "step": 80
+    },
+    {
+      "entropy": 7.130092525482178,
+      "epoch": 0.07042253521126761,
+      "grad_norm": 1.0546875,
+      "learning_rate": 4.2000000000000004e-05,
+      "loss": 6.8464,
+      "mean_token_accuracy": 0.08955071866512299,
+      "num_tokens": 154927.0,
+      "step": 85
+    },
+    {
+      "entropy": 7.090402746200562,
+      "epoch": 0.07456503728251865,
+      "grad_norm": 1.34375,
+      "learning_rate": 4.45e-05,
+      "loss": 6.7595,
+      "mean_token_accuracy": 0.09832768961787224,
+      "num_tokens": 163234.0,
+      "step": 90
+    },
+    {
+      "entropy": 7.08957576751709,
+      "epoch": 0.07870753935376967,
+      "grad_norm": 1.015625,
+      "learning_rate": 4.7000000000000004e-05,
+      "loss": 6.7163,
+      "mean_token_accuracy": 0.09379880875349045,
+      "num_tokens": 171554.0,
+      "step": 95
+    },
+    {
+      "entropy": 7.044517278671265,
+      "epoch": 0.08285004142502071,
+      "grad_norm": 1.1328125,
+      "learning_rate": 4.9500000000000004e-05,
+      "loss": 6.8173,
+      "mean_token_accuracy": 0.0955286517739296,
+      "num_tokens": 180171.0,
+      "step": 100
+    },
+    {
+      "entropy": 7.050950908660889,
+      "epoch": 0.08699254349627175,
+      "grad_norm": 1.0859375,
+      "learning_rate": 5.2e-05,
+      "loss": 6.761,
+      "mean_token_accuracy": 0.09741089940071106,
+      "num_tokens": 189216.0,
+      "step": 105
+    },
+    {
+      "entropy": 7.173562717437744,
+      "epoch": 0.09113504556752279,
+      "grad_norm": 1.015625,
+      "learning_rate": 5.45e-05,
+      "loss": 6.9519,
+      "mean_token_accuracy": 0.08675800338387489,
+      "num_tokens": 200022.0,
+      "step": 110
+    },
+    {
+      "entropy": 7.183744478225708,
+      "epoch": 0.09527754763877382,
+      "grad_norm": 1.2265625,
+      "learning_rate": 5.7e-05,
+      "loss": 6.8642,
+      "mean_token_accuracy": 0.09210581332445145,
+      "num_tokens": 208686.0,
+      "step": 115
+    },
+    {
+      "entropy": 7.121539115905762,
+      "epoch": 0.09942004971002485,
+      "grad_norm": 1.1875,
+      "learning_rate": 5.9499999999999996e-05,
+      "loss": 6.8829,
+      "mean_token_accuracy": 0.09462191313505172,
+      "num_tokens": 218266.0,
+      "step": 120
+    },
+    {
+      "entropy": 7.006736946105957,
+      "epoch": 0.1035625517812759,
+      "grad_norm": 1.046875,
+      "learning_rate": 6.2e-05,
+      "loss": 6.7523,
+      "mean_token_accuracy": 0.08771666437387467,
+      "num_tokens": 227658.0,
+      "step": 125
+    },
+    {
+      "entropy": 7.040027761459351,
+      "epoch": 0.10770505385252693,
+      "grad_norm": 1.1015625,
+      "learning_rate": 6.450000000000001e-05,
+      "loss": 6.7014,
+      "mean_token_accuracy": 0.1004502885043621,
+      "num_tokens": 236301.0,
+      "step": 130
+    },
+    {
+      "entropy": 7.106470441818237,
+      "epoch": 0.11184755592377796,
+      "grad_norm": 1.1171875,
+      "learning_rate": 6.7e-05,
+      "loss": 6.8424,
+      "mean_token_accuracy": 0.08812138065695763,
+      "num_tokens": 246355.0,
+      "step": 135
+    },
+    {
+      "entropy": 7.174679756164551,
+      "epoch": 0.115990057995029,
+      "grad_norm": 1.15625,
+      "learning_rate": 6.950000000000001e-05,
+      "loss": 6.8174,
+      "mean_token_accuracy": 0.0924198254942894,
+      "num_tokens": 256023.0,
+      "step": 140
+    },
+    {
+      "entropy": 7.10174069404602,
+      "epoch": 0.12013256006628004,
+      "grad_norm": 0.9921875,
+      "learning_rate": 7.2e-05,
+      "loss": 6.9036,
+      "mean_token_accuracy": 0.08638993799686431,
+      "num_tokens": 266893.0,
+      "step": 145
+    },
+    {
+      "entropy": 7.019921684265137,
+      "epoch": 0.12427506213753108,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7.45e-05,
+      "loss": 6.6606,
+      "mean_token_accuracy": 0.08872481286525727,
+      "num_tokens": 276075.0,
+      "step": 150
+    },
+    {
+      "entropy": 7.042754888534546,
+      "epoch": 0.12841756420878211,
+      "grad_norm": 1.25,
+      "learning_rate": 7.7e-05,
+      "loss": 6.7532,
+      "mean_token_accuracy": 0.09296932220458984,
+      "num_tokens": 285529.0,
+      "step": 155
+    },
+    {
+      "entropy": 7.064399909973145,
+      "epoch": 0.13256006628003314,
+      "grad_norm": 1.15625,
+      "learning_rate": 7.950000000000001e-05,
+      "loss": 6.762,
+      "mean_token_accuracy": 0.09406789913773536,
+      "num_tokens": 294403.0,
+      "step": 160
+    },
+    {
+      "entropy": 7.152362823486328,
+      "epoch": 0.13670256835128416,
+      "grad_norm": 1.28125,
+      "learning_rate": 8.2e-05,
+      "loss": 6.8553,
+      "mean_token_accuracy": 0.09358441680669785,
+      "num_tokens": 303507.0,
+      "step": 165
+    },
+    {
+      "entropy": 7.071487474441528,
+      "epoch": 0.14084507042253522,
+      "grad_norm": 1.21875,
+      "learning_rate": 8.450000000000001e-05,
+      "loss": 6.7534,
+      "mean_token_accuracy": 0.09645206108689308,
+      "num_tokens": 312393.0,
+      "step": 170
+    },
+    {
+      "entropy": 6.956210470199585,
+      "epoch": 0.14498757249378624,
+      "grad_norm": 1.0859375,
+      "learning_rate": 8.7e-05,
+      "loss": 6.7226,
+      "mean_token_accuracy": 0.09953253641724587,
+      "num_tokens": 321309.0,
+      "step": 175
+    },
+    {
+      "entropy": 7.2200812816619875,
+      "epoch": 0.1491300745650373,
+      "grad_norm": 1.1328125,
+      "learning_rate": 8.95e-05,
+      "loss": 6.7879,
+      "mean_token_accuracy": 0.09582221284508705,
+      "num_tokens": 330217.0,
+      "step": 180
+    },
+    {
+      "entropy": 6.964824962615967,
+      "epoch": 0.15327257663628832,
+      "grad_norm": 1.2109375,
+      "learning_rate": 9.2e-05,
+      "loss": 6.8296,
+      "mean_token_accuracy": 0.09584516286849976,
+      "num_tokens": 339587.0,
+      "step": 185
+    },
+    {
+      "entropy": 7.104565525054932,
+      "epoch": 0.15741507870753935,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.45e-05,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.09563353508710862,
+      "num_tokens": 349367.0,
+      "step": 190
+    },
+    {
+      "entropy": 6.90956711769104,
+      "epoch": 0.1615575807787904,
+      "grad_norm": 1.1953125,
+      "learning_rate": 9.7e-05,
+      "loss": 6.6535,
+      "mean_token_accuracy": 0.09533214569091797,
+      "num_tokens": 358272.0,
+      "step": 195
+    },
+    {
+      "entropy": 7.184430170059204,
+      "epoch": 0.16570008285004142,
+      "grad_norm": 1.1875,
+      "learning_rate": 9.95e-05,
+      "loss": 6.8847,
+      "mean_token_accuracy": 0.09342379868030548,
+      "num_tokens": 367709.0,
+      "step": 200
+    },
+    {
+      "entropy": 7.108258152008057,
+      "epoch": 0.16984258492129245,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000102,
+      "loss": 6.7363,
+      "mean_token_accuracy": 0.09321728497743606,
+      "num_tokens": 376180.0,
+      "step": 205
+    },
+    {
+      "entropy": 7.143853282928466,
+      "epoch": 0.1739850869925435,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00010449999999999999,
+      "loss": 6.8927,
+      "mean_token_accuracy": 0.08639989122748375,
+      "num_tokens": 385636.0,
+      "step": 210
+    },
+    {
+      "entropy": 7.005528688430786,
+      "epoch": 0.17812758906379453,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000107,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.10387283116579056,
+      "num_tokens": 394486.0,
+      "step": 215
+    },
+    {
+      "entropy": 7.066776275634766,
+      "epoch": 0.18227009113504558,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0001095,
+      "loss": 6.7286,
+      "mean_token_accuracy": 0.09739693626761436,
+      "num_tokens": 403765.0,
+      "step": 220
+    },
+    {
+      "entropy": 6.9391695022583,
+      "epoch": 0.1864125932062966,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000112,
+      "loss": 6.7198,
+      "mean_token_accuracy": 0.09883175939321517,
+      "num_tokens": 412988.0,
+      "step": 225
+    },
+    {
+      "entropy": 7.029045248031617,
+      "epoch": 0.19055509527754763,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0001145,
+      "loss": 6.6219,
+      "mean_token_accuracy": 0.09850638806819915,
+      "num_tokens": 422096.0,
+      "step": 230
+    },
+    {
+      "entropy": 7.055552911758423,
+      "epoch": 0.19469759734879868,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011700000000000001,
+      "loss": 6.7907,
+      "mean_token_accuracy": 0.08912368193268776,
+      "num_tokens": 431333.0,
+      "step": 235
+    },
+    {
+      "entropy": 7.076433277130127,
+      "epoch": 0.1988400994200497,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00011949999999999999,
+      "loss": 6.825,
+      "mean_token_accuracy": 0.0998022735118866,
+      "num_tokens": 440382.0,
+      "step": 240
+    },
+    {
+      "entropy": 7.098494958877564,
+      "epoch": 0.20298260149130073,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000122,
+      "loss": 6.7184,
+      "mean_token_accuracy": 0.1035430908203125,
+      "num_tokens": 448469.0,
+      "step": 245
+    },
+    {
+      "entropy": 7.065437746047974,
+      "epoch": 0.2071251035625518,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001245,
+      "loss": 6.7562,
+      "mean_token_accuracy": 0.0973759837448597,
+      "num_tokens": 457356.0,
+      "step": 250
+    },
+    {
+      "entropy": 7.103154182434082,
+      "epoch": 0.2112676056338028,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000127,
+      "loss": 6.7821,
+      "mean_token_accuracy": 0.09721289053559304,
+      "num_tokens": 465928.0,
+      "step": 255
+    },
+    {
+      "entropy": 6.99681601524353,
+      "epoch": 0.21541010770505387,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0001295,
+      "loss": 6.6931,
+      "mean_token_accuracy": 0.09931288808584213,
+      "num_tokens": 475269.0,
+      "step": 260
+    },
+    {
+      "entropy": 6.960800266265869,
+      "epoch": 0.2195526097763049,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000132,
+      "loss": 6.679,
+      "mean_token_accuracy": 0.09512786641716957,
+      "num_tokens": 485450.0,
+      "step": 265
+    },
+    {
+      "entropy": 7.0514568328857425,
+      "epoch": 0.22369511184755592,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00013450000000000002,
+      "loss": 6.7347,
+      "mean_token_accuracy": 0.10228226557374001,
+      "num_tokens": 494029.0,
+      "step": 270
+    },
+    {
+      "entropy": 6.9516912460327145,
+      "epoch": 0.22783761391880697,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013700000000000002,
+      "loss": 6.676,
+      "mean_token_accuracy": 0.10202871784567832,
+      "num_tokens": 503253.0,
+      "step": 275
+    },
+    {
+      "entropy": 7.018160057067871,
+      "epoch": 0.231980115990058,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0001395,
+      "loss": 6.6685,
+      "mean_token_accuracy": 0.09529435187578202,
+      "num_tokens": 512857.0,
+      "step": 280
+    },
+    {
+      "entropy": 6.9714985370635985,
+      "epoch": 0.23612261806130902,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00014199999999999998,
+      "loss": 6.7719,
+      "mean_token_accuracy": 0.09288227260112762,
+      "num_tokens": 522319.0,
+      "step": 285
+    },
+    {
+      "entropy": 7.113205528259277,
+      "epoch": 0.24026512013256007,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0001445,
+      "loss": 6.7224,
+      "mean_token_accuracy": 0.09471780881285667,
+      "num_tokens": 531469.0,
+      "step": 290
+    },
+    {
+      "entropy": 6.976934480667114,
+      "epoch": 0.2444076222038111,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000147,
+      "loss": 6.756,
+      "mean_token_accuracy": 0.09480062946677208,
+      "num_tokens": 540470.0,
+      "step": 295
+    },
+    {
+      "entropy": 7.011937475204467,
+      "epoch": 0.24855012427506215,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0001495,
+      "loss": 6.7584,
+      "mean_token_accuracy": 0.09700122326612473,
+      "num_tokens": 550317.0,
+      "step": 300
+    },
+    {
+      "entropy": 7.0365160465240475,
+      "epoch": 0.2526926263463132,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000152,
+      "loss": 6.7067,
+      "mean_token_accuracy": 0.09434132501482964,
+      "num_tokens": 559409.0,
+      "step": 305
+    },
+    {
+      "entropy": 6.928857326507568,
+      "epoch": 0.25683512841756423,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00015450000000000001,
+      "loss": 6.768,
+      "mean_token_accuracy": 0.10764710158109665,
+      "num_tokens": 568726.0,
+      "step": 310
+    },
+    {
+      "entropy": 7.103991413116455,
+      "epoch": 0.2609776304888152,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000157,
+      "loss": 6.7179,
+      "mean_token_accuracy": 0.0976541943848133,
+      "num_tokens": 577926.0,
+      "step": 315
+    },
+    {
+      "entropy": 7.047203779220581,
+      "epoch": 0.2651201325600663,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001595,
+      "loss": 6.7448,
+      "mean_token_accuracy": 0.09809661954641342,
+      "num_tokens": 586695.0,
+      "step": 320
+    },
+    {
+      "entropy": 7.039609956741333,
+      "epoch": 0.26926263463131733,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000162,
+      "loss": 6.771,
+      "mean_token_accuracy": 0.0949723981320858,
+      "num_tokens": 596250.0,
+      "step": 325
+    },
+    {
+      "entropy": 7.063632202148438,
+      "epoch": 0.27340513670256833,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00016450000000000001,
+      "loss": 6.8221,
+      "mean_token_accuracy": 0.09051206335425377,
+      "num_tokens": 605761.0,
+      "step": 330
+    },
+    {
+      "entropy": 7.019326877593994,
+      "epoch": 0.2775476387738194,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00016700000000000002,
+      "loss": 6.7365,
+      "mean_token_accuracy": 0.09872144013643265,
+      "num_tokens": 614313.0,
+      "step": 335
+    },
+    {
+      "entropy": 7.037422132492066,
+      "epoch": 0.28169014084507044,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00016950000000000003,
+      "loss": 6.7692,
+      "mean_token_accuracy": 0.09455474764108658,
+      "num_tokens": 624470.0,
+      "step": 340
+    },
+    {
+      "entropy": 7.039082098007202,
+      "epoch": 0.28583264291632143,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00017199999999999998,
+      "loss": 6.6843,
+      "mean_token_accuracy": 0.09269843101501465,
+      "num_tokens": 633458.0,
+      "step": 345
+    },
+    {
+      "entropy": 6.942268037796021,
+      "epoch": 0.2899751449875725,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00017449999999999999,
+      "loss": 6.6939,
+      "mean_token_accuracy": 0.09877684414386749,
+      "num_tokens": 643251.0,
+      "step": 350
+    },
+    {
+      "entropy": 6.99584732055664,
+      "epoch": 0.29411764705882354,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000177,
+      "loss": 6.7635,
+      "mean_token_accuracy": 0.09713540598750114,
+      "num_tokens": 652005.0,
+      "step": 355
+    },
+    {
+      "entropy": 7.006586170196533,
+      "epoch": 0.2982601491300746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0001795,
+      "loss": 6.6575,
+      "mean_token_accuracy": 0.10120807588100433,
+      "num_tokens": 661003.0,
+      "step": 360
+    },
+    {
+      "entropy": 6.874996137619019,
+      "epoch": 0.3024026512013256,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000182,
+      "loss": 6.6294,
+      "mean_token_accuracy": 0.09844254851341247,
+      "num_tokens": 670221.0,
+      "step": 365
+    },
+    {
+      "entropy": 7.155635738372803,
+      "epoch": 0.30654515327257664,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001845,
+      "loss": 6.9236,
+      "mean_token_accuracy": 0.0882349319756031,
+      "num_tokens": 680756.0,
+      "step": 370
+    },
+    {
+      "entropy": 6.94540753364563,
+      "epoch": 0.3106876553438277,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000187,
+      "loss": 6.6157,
+      "mean_token_accuracy": 0.10289054960012436,
+      "num_tokens": 689641.0,
+      "step": 375
+    },
+    {
+      "entropy": 6.87992377281189,
+      "epoch": 0.3148301574150787,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001895,
+      "loss": 6.5696,
+      "mean_token_accuracy": 0.09839320331811904,
+      "num_tokens": 698209.0,
+      "step": 380
+    },
+    {
+      "entropy": 6.823869276046753,
+      "epoch": 0.31897265948632975,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000192,
+      "loss": 6.5736,
+      "mean_token_accuracy": 0.10355777889490128,
+      "num_tokens": 706712.0,
+      "step": 385
+    },
+    {
+      "entropy": 7.037634468078613,
+      "epoch": 0.3231151615575808,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0001945,
+      "loss": 6.8017,
+      "mean_token_accuracy": 0.09728012606501579,
+      "num_tokens": 716087.0,
+      "step": 390
+    },
+    {
+      "entropy": 6.911249494552612,
+      "epoch": 0.3272576636288318,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00019700000000000002,
+      "loss": 6.6465,
+      "mean_token_accuracy": 0.09347675815224647,
+      "num_tokens": 725913.0,
+      "step": 395
+    },
+    {
+      "entropy": 6.944440317153931,
+      "epoch": 0.33140016570008285,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019950000000000002,
+      "loss": 6.7201,
+      "mean_token_accuracy": 0.10362306237220764,
+      "num_tokens": 735020.0,
+      "step": 400
+    },
+    {
+      "entropy": 6.985636854171753,
+      "epoch": 0.3355426677713339,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000202,
+      "loss": 6.6216,
+      "mean_token_accuracy": 0.09469136893749237,
+      "num_tokens": 744299.0,
+      "step": 405
+    },
+    {
+      "entropy": 6.883630275726318,
+      "epoch": 0.3396851698425849,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00020449999999999998,
+      "loss": 6.6099,
+      "mean_token_accuracy": 0.09694516137242318,
+      "num_tokens": 753231.0,
+      "step": 410
+    },
+    {
+      "entropy": 6.825357389450073,
+      "epoch": 0.34382767191383595,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000207,
+      "loss": 6.6717,
+      "mean_token_accuracy": 0.10230854973196983,
+      "num_tokens": 763043.0,
+      "step": 415
+    },
+    {
+      "entropy": 7.016851997375488,
+      "epoch": 0.347970173985087,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0002095,
+      "loss": 6.6905,
+      "mean_token_accuracy": 0.09913048222661018,
+      "num_tokens": 771977.0,
+      "step": 420
+    },
+    {
+      "entropy": 6.820244407653808,
+      "epoch": 0.352112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000212,
+      "loss": 6.6243,
+      "mean_token_accuracy": 0.1011092983186245,
+      "num_tokens": 780285.0,
+      "step": 425
+    },
+    {
+      "entropy": 6.956075525283813,
+      "epoch": 0.35625517812758906,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002145,
+      "loss": 6.6593,
+      "mean_token_accuracy": 0.09649045094847679,
+      "num_tokens": 789980.0,
+      "step": 430
+    },
+    {
+      "entropy": 6.984846019744873,
+      "epoch": 0.3603976801988401,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021700000000000002,
+      "loss": 6.6275,
+      "mean_token_accuracy": 0.10474459528923034,
+      "num_tokens": 798700.0,
+      "step": 435
+    },
+    {
+      "entropy": 6.767291498184204,
+      "epoch": 0.36454018227009116,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002195,
+      "loss": 6.7208,
+      "mean_token_accuracy": 0.09600067660212516,
+      "num_tokens": 808758.0,
+      "step": 440
+    },
+    {
+      "entropy": 7.046369791030884,
+      "epoch": 0.36868268434134216,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000222,
+      "loss": 6.6666,
+      "mean_token_accuracy": 0.10458802133798599,
+      "num_tokens": 817692.0,
+      "step": 445
+    },
+    {
+      "entropy": 6.95425066947937,
+      "epoch": 0.3728251864125932,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002245,
+      "loss": 6.7146,
+      "mean_token_accuracy": 0.10474570766091347,
+      "num_tokens": 827052.0,
+      "step": 450
+    },
+    {
+      "entropy": 6.895345544815063,
+      "epoch": 0.37696768848384427,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00022700000000000002,
+      "loss": 6.7139,
+      "mean_token_accuracy": 0.1091882586479187,
+      "num_tokens": 836442.0,
+      "step": 455
+    },
+    {
+      "entropy": 6.922871923446655,
+      "epoch": 0.38111019055509526,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00022950000000000002,
+      "loss": 6.5775,
+      "mean_token_accuracy": 0.10118989571928978,
+      "num_tokens": 846441.0,
+      "step": 460
+    },
+    {
+      "entropy": 6.8815388679504395,
+      "epoch": 0.3852526926263463,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00023200000000000003,
+      "loss": 6.6215,
+      "mean_token_accuracy": 0.10475475937128068,
+      "num_tokens": 856108.0,
+      "step": 465
+    },
+    {
+      "entropy": 6.848587274551392,
+      "epoch": 0.38939519469759737,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00023449999999999998,
+      "loss": 6.5833,
+      "mean_token_accuracy": 0.10137399956583977,
+      "num_tokens": 865788.0,
+      "step": 470
+    },
+    {
+      "entropy": 6.886804008483887,
+      "epoch": 0.39353769676884837,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000237,
+      "loss": 6.6302,
+      "mean_token_accuracy": 0.09514767676591873,
+      "num_tokens": 874833.0,
+      "step": 475
+    },
+    {
+      "entropy": 6.751422643661499,
+      "epoch": 0.3976801988400994,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002395,
+      "loss": 6.5997,
+      "mean_token_accuracy": 0.10276172533631325,
+      "num_tokens": 883685.0,
+      "step": 480
+    },
+    {
+      "entropy": 6.881311464309692,
+      "epoch": 0.40182270091135047,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000242,
+      "loss": 6.6001,
+      "mean_token_accuracy": 0.09796027019619942,
+      "num_tokens": 893908.0,
+      "step": 485
+    },
+    {
+      "entropy": 6.934821891784668,
+      "epoch": 0.40596520298260147,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002445,
+      "loss": 6.7142,
+      "mean_token_accuracy": 0.09827135354280472,
+      "num_tokens": 903081.0,
+      "step": 490
+    },
+    {
+      "entropy": 6.7868632793426515,
+      "epoch": 0.4101077050538525,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000247,
+      "loss": 6.5522,
+      "mean_token_accuracy": 0.10336750745773315,
+      "num_tokens": 912515.0,
+      "step": 495
+    },
+    {
+      "entropy": 6.886235475540161,
+      "epoch": 0.4142502071251036,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002495,
+      "loss": 6.5797,
+      "mean_token_accuracy": 0.1070313923060894,
+      "num_tokens": 921056.0,
+      "step": 500
+    },
+    {
+      "epoch": 0.4142502071251036,
+      "eval_entropy": 6.836038604728194,
+      "eval_loss": 6.684774875640869,
+      "eval_mean_token_accuracy": 0.10272799217021034,
+      "eval_num_tokens": 921056.0,
+      "eval_runtime": 2.7891,
+      "eval_samples_per_second": 1343.421,
+      "eval_steps_per_second": 168.152,
+      "step": 500
+    },
+    {
+      "entropy": 6.7657403469085695,
+      "epoch": 0.4183927091963546,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000252,
+      "loss": 6.5317,
+      "mean_token_accuracy": 0.10417452603578567,
+      "num_tokens": 931112.0,
+      "step": 505
+    },
+    {
+      "entropy": 6.821895503997803,
+      "epoch": 0.4225352112676056,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0002545,
+      "loss": 6.6605,
+      "mean_token_accuracy": 0.0978618748486042,
+      "num_tokens": 941120.0,
+      "step": 510
+    },
+    {
+      "entropy": 6.886211729049682,
+      "epoch": 0.4266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000257,
+      "loss": 6.6044,
+      "mean_token_accuracy": 0.09737976416945457,
+      "num_tokens": 950041.0,
+      "step": 515
+    },
+    {
+      "entropy": 6.879851579666138,
+      "epoch": 0.43082021541010773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002595,
+      "loss": 6.5907,
+      "mean_token_accuracy": 0.10606569275259972,
+      "num_tokens": 958608.0,
+      "step": 520
+    },
+    {
+      "entropy": 6.886484861373901,
+      "epoch": 0.43496271748135873,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.000262,
+      "loss": 6.7158,
+      "mean_token_accuracy": 0.09990910813212395,
+      "num_tokens": 966901.0,
+      "step": 525
+    },
+    {
+      "entropy": 6.767313003540039,
+      "epoch": 0.4391052195526098,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026450000000000003,
+      "loss": 6.5504,
+      "mean_token_accuracy": 0.10768762230873108,
+      "num_tokens": 976198.0,
+      "step": 530
+    },
+    {
+      "entropy": 6.892781782150268,
+      "epoch": 0.44324772162386084,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026700000000000004,
+      "loss": 6.624,
+      "mean_token_accuracy": 0.09861580505967141,
+      "num_tokens": 985248.0,
+      "step": 535
+    },
+    {
+      "entropy": 6.772344255447388,
+      "epoch": 0.44739022369511183,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00026950000000000005,
+      "loss": 6.5014,
+      "mean_token_accuracy": 0.1071978710591793,
+      "num_tokens": 993289.0,
+      "step": 540
+    },
+    {
+      "entropy": 6.820696449279785,
+      "epoch": 0.4515327257663629,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027200000000000005,
+      "loss": 6.5909,
+      "mean_token_accuracy": 0.10533165782690049,
+      "num_tokens": 1001784.0,
+      "step": 545
+    },
+    {
+      "entropy": 6.935409688949585,
+      "epoch": 0.45567522783761394,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002745,
+      "loss": 6.5627,
+      "mean_token_accuracy": 0.10804210156202317,
+      "num_tokens": 1010445.0,
+      "step": 550
+    },
+    {
+      "entropy": 6.745790100097656,
+      "epoch": 0.45981772990886494,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000277,
+      "loss": 6.6184,
+      "mean_token_accuracy": 0.10709234476089477,
+      "num_tokens": 1019084.0,
+      "step": 555
+    },
+    {
+      "entropy": 6.7490733623504635,
+      "epoch": 0.463960231980116,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002795,
+      "loss": 6.5249,
+      "mean_token_accuracy": 0.10461713373661041,
+      "num_tokens": 1027263.0,
+      "step": 560
+    },
+    {
+      "entropy": 6.876884937286377,
+      "epoch": 0.46810273405136704,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00028199999999999997,
+      "loss": 6.6233,
+      "mean_token_accuracy": 0.09752989709377288,
+      "num_tokens": 1036275.0,
+      "step": 565
+    },
+    {
+      "entropy": 6.765736055374146,
+      "epoch": 0.47224523612261804,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002845,
+      "loss": 6.7015,
+      "mean_token_accuracy": 0.09858408868312836,
+      "num_tokens": 1045208.0,
+      "step": 570
+    },
+    {
+      "entropy": 6.9024957656860355,
+      "epoch": 0.4763877381938691,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000287,
+      "loss": 6.6287,
+      "mean_token_accuracy": 0.1026283286511898,
+      "num_tokens": 1054703.0,
+      "step": 575
+    },
+    {
+      "entropy": 6.647345924377442,
+      "epoch": 0.48053024026512015,
+      "grad_norm": 1.5,
+      "learning_rate": 0.0002895,
+      "loss": 6.4841,
+      "mean_token_accuracy": 0.10212503597140313,
+      "num_tokens": 1063652.0,
+      "step": 580
+    },
+    {
+      "entropy": 6.717900657653809,
+      "epoch": 0.48467274233637114,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000292,
+      "loss": 6.5873,
+      "mean_token_accuracy": 0.10145951434969902,
+      "num_tokens": 1072070.0,
+      "step": 585
+    },
+    {
+      "entropy": 6.997959756851197,
+      "epoch": 0.4888152444076222,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002945,
+      "loss": 6.6143,
+      "mean_token_accuracy": 0.10064447894692422,
+      "num_tokens": 1079992.0,
+      "step": 590
+    },
+    {
+      "entropy": 6.657160854339599,
+      "epoch": 0.49295774647887325,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000297,
+      "loss": 6.628,
+      "mean_token_accuracy": 0.10435748845338821,
+      "num_tokens": 1088862.0,
+      "step": 595
+    },
+    {
+      "entropy": 6.773271942138672,
+      "epoch": 0.4971002485501243,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002995,
+      "loss": 6.4317,
+      "mean_token_accuracy": 0.10795770138502121,
+      "num_tokens": 1097614.0,
+      "step": 600
+    },
+    {
+      "entropy": 6.7102379322052,
+      "epoch": 0.5012427506213754,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000302,
+      "loss": 6.6288,
+      "mean_token_accuracy": 0.10706980749964715,
+      "num_tokens": 1107347.0,
+      "step": 605
+    },
+    {
+      "entropy": 6.8672473430633545,
+      "epoch": 0.5053852526926264,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003045,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10073774978518486,
+      "num_tokens": 1116707.0,
+      "step": 610
+    },
+    {
+      "entropy": 6.764383840560913,
+      "epoch": 0.5095277547638773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000307,
+      "loss": 6.6549,
+      "mean_token_accuracy": 0.10234303548932075,
+      "num_tokens": 1126356.0,
+      "step": 615
+    },
+    {
+      "entropy": 6.787193298339844,
+      "epoch": 0.5136702568351285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003095,
+      "loss": 6.5847,
+      "mean_token_accuracy": 0.10079671740531922,
+      "num_tokens": 1136281.0,
+      "step": 620
+    },
+    {
+      "entropy": 6.713733196258545,
+      "epoch": 0.5178127589063795,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000312,
+      "loss": 6.5355,
+      "mean_token_accuracy": 0.10429632142186165,
+      "num_tokens": 1145466.0,
+      "step": 625
+    },
+    {
+      "entropy": 6.7503923892974855,
+      "epoch": 0.5219552609776305,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003145,
+      "loss": 6.5409,
+      "mean_token_accuracy": 0.10918259546160698,
+      "num_tokens": 1154225.0,
+      "step": 630
+    },
+    {
+      "entropy": 6.761834907531738,
+      "epoch": 0.5260977630488816,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000317,
+      "loss": 6.5885,
+      "mean_token_accuracy": 0.09673135951161385,
+      "num_tokens": 1163872.0,
+      "step": 635
+    },
+    {
+      "entropy": 6.69431324005127,
+      "epoch": 0.5302402651201326,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003195,
+      "loss": 6.5244,
+      "mean_token_accuracy": 0.10705070868134499,
+      "num_tokens": 1172695.0,
+      "step": 640
+    },
+    {
+      "entropy": 6.651590061187744,
+      "epoch": 0.5343827671913836,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000322,
+      "loss": 6.3962,
+      "mean_token_accuracy": 0.11006554961204529,
+      "num_tokens": 1181291.0,
+      "step": 645
+    },
+    {
+      "entropy": 6.782713270187378,
+      "epoch": 0.5385252692626347,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00032450000000000003,
+      "loss": 6.5715,
+      "mean_token_accuracy": 0.10394523739814758,
+      "num_tokens": 1189927.0,
+      "step": 650
+    },
+    {
+      "entropy": 6.705166435241699,
+      "epoch": 0.5426677713338857,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00032700000000000003,
+      "loss": 6.5043,
+      "mean_token_accuracy": 0.10940467119216919,
+      "num_tokens": 1197913.0,
+      "step": 655
+    },
+    {
+      "entropy": 6.670699262619019,
+      "epoch": 0.5468102734051367,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032950000000000004,
+      "loss": 6.4309,
+      "mean_token_accuracy": 0.11147961542010307,
+      "num_tokens": 1207032.0,
+      "step": 660
+    },
+    {
+      "entropy": 6.640204334259034,
+      "epoch": 0.5509527754763878,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00033200000000000005,
+      "loss": 6.5397,
+      "mean_token_accuracy": 0.10571447387337685,
+      "num_tokens": 1215710.0,
+      "step": 665
+    },
+    {
+      "entropy": 6.694819068908691,
+      "epoch": 0.5550952775476388,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033450000000000005,
+      "loss": 6.52,
+      "mean_token_accuracy": 0.10049431845545768,
+      "num_tokens": 1225619.0,
+      "step": 670
+    },
+    {
+      "entropy": 6.649594163894653,
+      "epoch": 0.5592377796188898,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000337,
+      "loss": 6.4407,
+      "mean_token_accuracy": 0.11157044768333435,
+      "num_tokens": 1235000.0,
+      "step": 675
+    },
+    {
+      "entropy": 6.612611961364746,
+      "epoch": 0.5633802816901409,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003395,
+      "loss": 6.4462,
+      "mean_token_accuracy": 0.108580531924963,
+      "num_tokens": 1243594.0,
+      "step": 680
+    },
+    {
+      "entropy": 6.843221950531006,
+      "epoch": 0.5675227837613919,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000342,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10460855960845947,
+      "num_tokens": 1252279.0,
+      "step": 685
+    },
+    {
+      "entropy": 6.760235929489136,
+      "epoch": 0.5716652858326429,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034449999999999997,
+      "loss": 6.559,
+      "mean_token_accuracy": 0.10665302500128745,
+      "num_tokens": 1261314.0,
+      "step": 690
+    },
+    {
+      "entropy": 6.55326566696167,
+      "epoch": 0.575807787903894,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000347,
+      "loss": 6.4337,
+      "mean_token_accuracy": 0.11188110187649727,
+      "num_tokens": 1270854.0,
+      "step": 695
+    },
+    {
+      "entropy": 6.618375587463379,
+      "epoch": 0.579950289975145,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003495,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.11392810270190239,
+      "num_tokens": 1279183.0,
+      "step": 700
+    },
+    {
+      "entropy": 6.626208257675171,
+      "epoch": 0.584092792046396,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000352,
+      "loss": 6.5015,
+      "mean_token_accuracy": 0.10761247500777245,
+      "num_tokens": 1288347.0,
+      "step": 705
+    },
+    {
+      "entropy": 6.6855669021606445,
+      "epoch": 0.5882352941176471,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003545,
+      "loss": 6.5036,
+      "mean_token_accuracy": 0.10823310390114785,
+      "num_tokens": 1297449.0,
+      "step": 710
+    },
+    {
+      "entropy": 6.710147094726563,
+      "epoch": 0.5923777961888981,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000357,
+      "loss": 6.4688,
+      "mean_token_accuracy": 0.10904998034238815,
+      "num_tokens": 1306232.0,
+      "step": 715
+    },
+    {
+      "entropy": 6.6553794860839846,
+      "epoch": 0.5965202982601492,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003595,
+      "loss": 6.4857,
+      "mean_token_accuracy": 0.11109372302889824,
+      "num_tokens": 1315073.0,
+      "step": 720
+    },
+    {
+      "entropy": 6.674065732955933,
+      "epoch": 0.6006628003314002,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000362,
+      "loss": 6.5301,
+      "mean_token_accuracy": 0.10648825243115426,
+      "num_tokens": 1324629.0,
+      "step": 725
+    },
+    {
+      "entropy": 6.700368881225586,
+      "epoch": 0.6048053024026512,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0003645,
+      "loss": 6.6444,
+      "mean_token_accuracy": 0.10443340390920638,
+      "num_tokens": 1334152.0,
+      "step": 730
+    },
+    {
+      "entropy": 6.779498624801636,
+      "epoch": 0.6089478044739023,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000367,
+      "loss": 6.5946,
+      "mean_token_accuracy": 0.10130336955189705,
+      "num_tokens": 1343063.0,
+      "step": 735
+    },
+    {
+      "entropy": 6.684298419952393,
+      "epoch": 0.6130903065451533,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0003695,
+      "loss": 6.5241,
+      "mean_token_accuracy": 0.10516620799899101,
+      "num_tokens": 1352632.0,
+      "step": 740
+    },
+    {
+      "entropy": 6.582866573333741,
+      "epoch": 0.6172328086164043,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000372,
+      "loss": 6.4712,
+      "mean_token_accuracy": 0.10765027329325676,
+      "num_tokens": 1361103.0,
+      "step": 745
+    },
+    {
+      "entropy": 6.643687963485718,
+      "epoch": 0.6213753106876554,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003745,
+      "loss": 6.4642,
+      "mean_token_accuracy": 0.10832677409052849,
+      "num_tokens": 1370658.0,
+      "step": 750
+    },
+    {
+      "entropy": 6.64506516456604,
+      "epoch": 0.6255178127589064,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000377,
+      "loss": 6.4878,
+      "mean_token_accuracy": 0.10808288529515267,
+      "num_tokens": 1379817.0,
+      "step": 755
+    },
+    {
+      "entropy": 6.640752458572388,
+      "epoch": 0.6296603148301574,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003795,
+      "loss": 6.4418,
+      "mean_token_accuracy": 0.10874675288796425,
+      "num_tokens": 1389329.0,
+      "step": 760
+    },
+    {
+      "entropy": 6.4627049446105955,
+      "epoch": 0.6338028169014085,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000382,
+      "loss": 6.4902,
+      "mean_token_accuracy": 0.10606684386730195,
+      "num_tokens": 1399279.0,
+      "step": 765
+    },
+    {
+      "entropy": 6.621781063079834,
+      "epoch": 0.6379453189726595,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003845,
+      "loss": 6.4146,
+      "mean_token_accuracy": 0.11267002299427986,
+      "num_tokens": 1408765.0,
+      "step": 770
+    },
+    {
+      "entropy": 6.736465692520142,
+      "epoch": 0.6420878210439105,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038700000000000003,
+      "loss": 6.5632,
+      "mean_token_accuracy": 0.10607504546642303,
+      "num_tokens": 1418615.0,
+      "step": 775
+    },
+    {
+      "entropy": 6.616378879547119,
+      "epoch": 0.6462303231151616,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038950000000000003,
+      "loss": 6.4664,
+      "mean_token_accuracy": 0.10207068845629692,
+      "num_tokens": 1427359.0,
+      "step": 780
+    },
+    {
+      "entropy": 6.70065336227417,
+      "epoch": 0.6503728251864126,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00039200000000000004,
+      "loss": 6.622,
+      "mean_token_accuracy": 0.1116428442299366,
+      "num_tokens": 1435516.0,
+      "step": 785
+    },
+    {
+      "entropy": 6.709064102172851,
+      "epoch": 0.6545153272576636,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00039450000000000005,
+      "loss": 6.5704,
+      "mean_token_accuracy": 0.10583743155002594,
+      "num_tokens": 1444438.0,
+      "step": 790
+    },
+    {
+      "entropy": 6.671351766586303,
+      "epoch": 0.6586578293289147,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00039700000000000005,
+      "loss": 6.4996,
+      "mean_token_accuracy": 0.11326526403427124,
+      "num_tokens": 1453740.0,
+      "step": 795
+    },
+    {
+      "entropy": 6.614573907852173,
+      "epoch": 0.6628003314001657,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003995,
+      "loss": 6.4874,
+      "mean_token_accuracy": 0.11111863479018211,
+      "num_tokens": 1462083.0,
+      "step": 800
+    },
+    {
+      "entropy": 6.484545516967773,
+      "epoch": 0.6669428334714167,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000402,
+      "loss": 6.4127,
+      "mean_token_accuracy": 0.1100592203438282,
+      "num_tokens": 1471459.0,
+      "step": 805
+    },
+    {
+      "entropy": 6.621589279174804,
+      "epoch": 0.6710853355426678,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004045,
+      "loss": 6.3972,
+      "mean_token_accuracy": 0.11681128293275833,
+      "num_tokens": 1480516.0,
+      "step": 810
+    },
+    {
+      "entropy": 6.421737241744995,
+      "epoch": 0.6752278376139188,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00040699999999999997,
+      "loss": 6.3,
+      "mean_token_accuracy": 0.11318568140268326,
+      "num_tokens": 1489268.0,
+      "step": 815
+    },
+    {
+      "entropy": 6.700246906280517,
+      "epoch": 0.6793703396851698,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004095,
+      "loss": 6.5174,
+      "mean_token_accuracy": 0.11110908538103104,
+      "num_tokens": 1498819.0,
+      "step": 820
+    },
+    {
+      "entropy": 6.622490644454956,
+      "epoch": 0.6835128417564209,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000412,
+      "loss": 6.501,
+      "mean_token_accuracy": 0.11033953949809075,
+      "num_tokens": 1507852.0,
+      "step": 825
+    },
+    {
+      "entropy": 6.59730544090271,
+      "epoch": 0.6876553438276719,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004145,
+      "loss": 6.5302,
+      "mean_token_accuracy": 0.11122860461473465,
+      "num_tokens": 1517538.0,
+      "step": 830
+    },
+    {
+      "entropy": 6.458763217926025,
+      "epoch": 0.6917978458989229,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000417,
+      "loss": 6.4061,
+      "mean_token_accuracy": 0.11324542313814163,
+      "num_tokens": 1525389.0,
+      "step": 835
+    },
+    {
+      "entropy": 6.57511887550354,
+      "epoch": 0.695940347970174,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004195,
+      "loss": 6.3741,
+      "mean_token_accuracy": 0.11116622686386109,
+      "num_tokens": 1534117.0,
+      "step": 840
+    },
+    {
+      "entropy": 6.522304344177246,
+      "epoch": 0.700082850041425,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000422,
+      "loss": 6.4029,
+      "mean_token_accuracy": 0.11315450444817543,
+      "num_tokens": 1542610.0,
+      "step": 845
+    },
+    {
+      "entropy": 6.5175107479095455,
+      "epoch": 0.704225352112676,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004245,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.1143906556069851,
+      "num_tokens": 1551771.0,
+      "step": 850
+    },
+    {
+      "entropy": 6.620167636871338,
+      "epoch": 0.7083678541839271,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.000427,
+      "loss": 6.5779,
+      "mean_token_accuracy": 0.10512799099087715,
+      "num_tokens": 1560231.0,
+      "step": 855
+    },
+    {
+      "entropy": 6.589151382446289,
+      "epoch": 0.7125103562551781,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004295,
+      "loss": 6.5346,
+      "mean_token_accuracy": 0.10532297939062119,
+      "num_tokens": 1569578.0,
+      "step": 860
+    },
+    {
+      "entropy": 6.563750839233398,
+      "epoch": 0.7166528583264291,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000432,
+      "loss": 6.4187,
+      "mean_token_accuracy": 0.11381370946764946,
+      "num_tokens": 1579308.0,
+      "step": 865
+    },
+    {
+      "entropy": 6.597287034988403,
+      "epoch": 0.7207953603976802,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004345,
+      "loss": 6.6081,
+      "mean_token_accuracy": 0.10267190784215927,
+      "num_tokens": 1589506.0,
+      "step": 870
+    },
+    {
+      "entropy": 6.482245397567749,
+      "epoch": 0.7249378624689312,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000437,
+      "loss": 6.3671,
+      "mean_token_accuracy": 0.11368186473846435,
+      "num_tokens": 1598127.0,
+      "step": 875
+    },
+    {
+      "entropy": 6.548954200744629,
+      "epoch": 0.7290803645401823,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004395,
+      "loss": 6.4125,
+      "mean_token_accuracy": 0.11406067088246345,
+      "num_tokens": 1608073.0,
+      "step": 880
+    },
+    {
+      "entropy": 6.551317119598389,
+      "epoch": 0.7332228666114333,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000442,
+      "loss": 6.4304,
+      "mean_token_accuracy": 0.11178040653467178,
+      "num_tokens": 1616272.0,
+      "step": 885
+    },
+    {
+      "entropy": 6.496135663986206,
+      "epoch": 0.7373653686826843,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004445,
+      "loss": 6.447,
+      "mean_token_accuracy": 0.10845504105091094,
+      "num_tokens": 1625577.0,
+      "step": 890
+    },
+    {
+      "entropy": 6.685812950134277,
+      "epoch": 0.7415078707539354,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000447,
+      "loss": 6.533,
+      "mean_token_accuracy": 0.10158233270049095,
+      "num_tokens": 1634902.0,
+      "step": 895
+    },
+    {
+      "entropy": 6.520436191558838,
+      "epoch": 0.7456503728251864,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00044950000000000003,
+      "loss": 6.4674,
+      "mean_token_accuracy": 0.10865833014249801,
+      "num_tokens": 1644131.0,
+      "step": 900
+    },
+    {
+      "entropy": 6.461379718780518,
+      "epoch": 0.7497928748964374,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00045200000000000004,
+      "loss": 6.3694,
+      "mean_token_accuracy": 0.12158194407820702,
+      "num_tokens": 1652272.0,
+      "step": 905
+    },
+    {
+      "entropy": 6.533070278167725,
+      "epoch": 0.7539353769676885,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00045450000000000004,
+      "loss": 6.4632,
+      "mean_token_accuracy": 0.11447574123740197,
+      "num_tokens": 1660962.0,
+      "step": 910
+    },
+    {
+      "entropy": 6.475569725036621,
+      "epoch": 0.7580778790389395,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045700000000000005,
+      "loss": 6.4006,
+      "mean_token_accuracy": 0.11205699220299721,
+      "num_tokens": 1670570.0,
+      "step": 915
+    },
+    {
+      "entropy": 6.526782608032226,
+      "epoch": 0.7622203811101905,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00045950000000000006,
+      "loss": 6.4497,
+      "mean_token_accuracy": 0.1096197433769703,
+      "num_tokens": 1679674.0,
+      "step": 920
+    },
+    {
+      "entropy": 6.530770015716553,
+      "epoch": 0.7663628831814416,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000462,
+      "loss": 6.4324,
+      "mean_token_accuracy": 0.11466658413410187,
+      "num_tokens": 1688849.0,
+      "step": 925
+    },
+    {
+      "entropy": 6.4163538932800295,
+      "epoch": 0.7705053852526926,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004645,
+      "loss": 6.3128,
+      "mean_token_accuracy": 0.1098814107477665,
+      "num_tokens": 1698565.0,
+      "step": 930
+    },
+    {
+      "entropy": 6.5036052703857425,
+      "epoch": 0.7746478873239436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000467,
+      "loss": 6.3986,
+      "mean_token_accuracy": 0.11683695837855339,
+      "num_tokens": 1708009.0,
+      "step": 935
+    },
+    {
+      "entropy": 6.518198871612549,
+      "epoch": 0.7787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004695,
+      "loss": 6.3878,
+      "mean_token_accuracy": 0.1126109592616558,
+      "num_tokens": 1716497.0,
+      "step": 940
+    },
+    {
+      "entropy": 6.415347719192505,
+      "epoch": 0.7829328914664457,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000472,
+      "loss": 6.4082,
+      "mean_token_accuracy": 0.12070046439766884,
+      "num_tokens": 1725609.0,
+      "step": 945
+    },
+    {
+      "entropy": 6.477306175231933,
+      "epoch": 0.7870753935376967,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004745,
+      "loss": 6.3456,
+      "mean_token_accuracy": 0.11454906165599824,
+      "num_tokens": 1734165.0,
+      "step": 950
+    },
+    {
+      "entropy": 6.454520893096924,
+      "epoch": 0.7912178956089478,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000477,
+      "loss": 6.4546,
+      "mean_token_accuracy": 0.10918105840682983,
+      "num_tokens": 1744856.0,
+      "step": 955
+    },
+    {
+      "entropy": 6.4711943626403805,
+      "epoch": 0.7953603976801988,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004795,
+      "loss": 6.4509,
+      "mean_token_accuracy": 0.10578904524445534,
+      "num_tokens": 1753386.0,
+      "step": 960
+    },
+    {
+      "entropy": 6.4536961078643795,
+      "epoch": 0.7995028997514498,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000482,
+      "loss": 6.3053,
+      "mean_token_accuracy": 0.11872726455330848,
+      "num_tokens": 1762521.0,
+      "step": 965
+    },
+    {
+      "entropy": 6.34936490058899,
+      "epoch": 0.8036454018227009,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004845,
+      "loss": 6.3765,
+      "mean_token_accuracy": 0.11444728896021843,
+      "num_tokens": 1772403.0,
+      "step": 970
+    },
+    {
+      "entropy": 6.375087881088257,
+      "epoch": 0.8077879038939519,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000487,
+      "loss": 6.2884,
+      "mean_token_accuracy": 0.11179185584187508,
+      "num_tokens": 1780924.0,
+      "step": 975
+    },
+    {
+      "entropy": 6.547906732559204,
+      "epoch": 0.8119304059652029,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004895,
+      "loss": 6.4367,
+      "mean_token_accuracy": 0.11225800514221192,
+      "num_tokens": 1789992.0,
+      "step": 980
+    },
+    {
+      "entropy": 6.421040678024292,
+      "epoch": 0.816072908036454,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000492,
+      "loss": 6.3919,
+      "mean_token_accuracy": 0.11761699616909027,
+      "num_tokens": 1799513.0,
+      "step": 985
+    },
+    {
+      "entropy": 6.332476711273193,
+      "epoch": 0.820215410107705,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0004945,
+      "loss": 6.2287,
+      "mean_token_accuracy": 0.11279567033052444,
+      "num_tokens": 1807393.0,
+      "step": 990
+    },
+    {
+      "entropy": 6.438618326187134,
+      "epoch": 0.824357912178956,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000497,
+      "loss": 6.5079,
+      "mean_token_accuracy": 0.10579989776015282,
+      "num_tokens": 1817284.0,
+      "step": 995
+    },
+    {
+      "entropy": 6.449818515777588,
+      "epoch": 0.8285004142502072,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004995,
+      "loss": 6.2996,
+      "mean_token_accuracy": 0.11799877136945724,
+      "num_tokens": 1825591.0,
+      "step": 1000
+    },
+    {
+      "epoch": 0.8285004142502072,
+      "eval_entropy": 6.222835092402216,
+      "eval_loss": 6.475013256072998,
+      "eval_mean_token_accuracy": 0.11269166863866961,
+      "eval_num_tokens": 1825591.0,
+      "eval_runtime": 2.7611,
+      "eval_samples_per_second": 1357.068,
+      "eval_steps_per_second": 169.86,
+      "step": 1000
+    },
+    {
+      "entropy": 6.457831478118896,
+      "epoch": 0.8326429163214581,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0004999998547681232,
+      "loss": 6.3959,
+      "mean_token_accuracy": 0.11798396334052086,
+      "num_tokens": 1834655.0,
+      "step": 1005
+    },
+    {
+      "entropy": 6.26599349975586,
+      "epoch": 0.8367854183927091,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004999992647639447,
+      "loss": 6.2578,
+      "mean_token_accuracy": 0.11858200430870056,
+      "num_tokens": 1844187.0,
+      "step": 1010
+    },
+    {
+      "entropy": 6.415271520614624,
+      "epoch": 0.8409279204639603,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999982209116618,
+      "loss": 6.3345,
+      "mean_token_accuracy": 0.11406200677156449,
+      "num_tokens": 1852768.0,
+      "step": 1015
+    },
+    {
+      "entropy": 6.355557584762574,
+      "epoch": 0.8450704225352113,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004999967232133796,
+      "loss": 6.3913,
+      "mean_token_accuracy": 0.12348653748631477,
+      "num_tokens": 1862095.0,
+      "step": 1020
+    },
+    {
+      "entropy": 6.427043008804321,
+      "epoch": 0.8492129246064622,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004999947716721196,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.10961534604430198,
+      "num_tokens": 1871239.0,
+      "step": 1025
+    },
+    {
+      "entropy": 6.509608554840088,
+      "epoch": 0.8533554266777134,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004999923662918179,
+      "loss": 6.4323,
+      "mean_token_accuracy": 0.11334251016378402,
+      "num_tokens": 1880065.0,
+      "step": 1030
+    },
+    {
+      "entropy": 6.417975521087646,
+      "epoch": 0.8574979287489644,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999895070773266,
+      "loss": 6.4608,
+      "mean_token_accuracy": 0.10985229611396789,
+      "num_tokens": 1889065.0,
+      "step": 1035
+    },
+    {
+      "entropy": 6.429206514358521,
+      "epoch": 0.8616404308202155,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999861940344129,
+      "loss": 6.4721,
+      "mean_token_accuracy": 0.11190373301506043,
+      "num_tokens": 1898238.0,
+      "step": 1040
+    },
+    {
+      "entropy": 6.462369585037232,
+      "epoch": 0.8657829328914665,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004999824271697597,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.12136606723070145,
+      "num_tokens": 1906780.0,
+      "step": 1045
+    },
+    {
+      "entropy": 6.506088638305664,
+      "epoch": 0.8699254349627175,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000499978206490965,
+      "loss": 6.4745,
+      "mean_token_accuracy": 0.11197563111782075,
+      "num_tokens": 1916183.0,
+      "step": 1050
+    },
+    {
+      "entropy": 6.427097368240356,
+      "epoch": 0.8740679370339686,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999735320065427,
+      "loss": 6.3371,
+      "mean_token_accuracy": 0.11927392706274986,
+      "num_tokens": 1925382.0,
+      "step": 1055
+    },
+    {
+      "entropy": 6.292429256439209,
+      "epoch": 0.8782104391052196,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999684037259216,
+      "loss": 6.1827,
+      "mean_token_accuracy": 0.1270924136042595,
+      "num_tokens": 1933639.0,
+      "step": 1060
+    },
+    {
+      "entropy": 6.3600146770477295,
+      "epoch": 0.8823529411764706,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999628216594456,
+      "loss": 6.464,
+      "mean_token_accuracy": 0.11409285366535186,
+      "num_tokens": 1943044.0,
+      "step": 1065
+    },
+    {
+      "entropy": 6.460871028900146,
+      "epoch": 0.8864954432477217,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000499956785818375,
+      "loss": 6.303,
+      "mean_token_accuracy": 0.11871922463178634,
+      "num_tokens": 1951777.0,
+      "step": 1070
+    },
+    {
+      "entropy": 6.376981210708618,
+      "epoch": 0.8906379453189727,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004999502962148843,
+      "loss": 6.3666,
+      "mean_token_accuracy": 0.1170460693538189,
+      "num_tokens": 1961356.0,
+      "step": 1075
+    },
+    {
+      "entropy": 6.439280414581299,
+      "epoch": 0.8947804473902237,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000499943352862064,
+      "loss": 6.4248,
+      "mean_token_accuracy": 0.11459407210350037,
+      "num_tokens": 1970341.0,
+      "step": 1080
+    },
+    {
+      "entropy": 6.394289827346801,
+      "epoch": 0.8989229494614748,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004999359557739194,
+      "loss": 6.2796,
+      "mean_token_accuracy": 0.12198276743292809,
+      "num_tokens": 1978576.0,
+      "step": 1085
+    },
+    {
+      "entropy": 6.319045782089233,
+      "epoch": 0.9030654515327258,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004999281049653713,
+      "loss": 6.3227,
+      "mean_token_accuracy": 0.11601013913750649,
+      "num_tokens": 1987229.0,
+      "step": 1090
+    },
+    {
+      "entropy": 6.376017141342163,
+      "epoch": 0.9072079536039768,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999198004522557,
+      "loss": 6.261,
+      "mean_token_accuracy": 0.12269015237689018,
+      "num_tokens": 1996473.0,
+      "step": 1095
+    },
+    {
+      "entropy": 6.2405853271484375,
+      "epoch": 0.9113504556752279,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999110422513237,
+      "loss": 6.286,
+      "mean_token_accuracy": 0.12056776732206345,
+      "num_tokens": 2005551.0,
+      "step": 1100
+    },
+    {
+      "entropy": 6.398191165924072,
+      "epoch": 0.9154929577464789,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999018303802414,
+      "loss": 6.3869,
+      "mean_token_accuracy": 0.11947718560695648,
+      "num_tokens": 2015012.0,
+      "step": 1105
+    },
+    {
+      "entropy": 6.374700450897217,
+      "epoch": 0.9196354598177299,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004998921648575904,
+      "loss": 6.3999,
+      "mean_token_accuracy": 0.1203969657421112,
+      "num_tokens": 2024435.0,
+      "step": 1110
+    },
+    {
+      "entropy": 6.380674362182617,
+      "epoch": 0.923777961888981,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004998820457028669,
+      "loss": 6.3005,
+      "mean_token_accuracy": 0.12089794874191284,
+      "num_tokens": 2033991.0,
+      "step": 1115
+    },
+    {
+      "entropy": 6.409522771835327,
+      "epoch": 0.927920463960232,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998714729364824,
+      "loss": 6.3017,
+      "mean_token_accuracy": 0.1228084571659565,
+      "num_tokens": 2043117.0,
+      "step": 1120
+    },
+    {
+      "entropy": 6.326260423660278,
+      "epoch": 0.932062966031483,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004998604465797634,
+      "loss": 6.3305,
+      "mean_token_accuracy": 0.11992078274488449,
+      "num_tokens": 2052304.0,
+      "step": 1125
+    },
+    {
+      "entropy": 6.251798295974732,
+      "epoch": 0.9362054681027341,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998489666549512,
+      "loss": 6.2779,
+      "mean_token_accuracy": 0.12114684730768203,
+      "num_tokens": 2061217.0,
+      "step": 1130
+    },
+    {
+      "entropy": 6.319644594192505,
+      "epoch": 0.9403479701739851,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.0004998370331852021,
+      "loss": 6.2517,
+      "mean_token_accuracy": 0.11879112273454666,
+      "num_tokens": 2070796.0,
+      "step": 1135
+    },
+    {
+      "entropy": 6.465651321411133,
+      "epoch": 0.9444904722452361,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004998246461945872,
+      "loss": 6.4037,
+      "mean_token_accuracy": 0.12191760018467904,
+      "num_tokens": 2080202.0,
+      "step": 1140
+    },
+    {
+      "entropy": 6.320812797546386,
+      "epoch": 0.9486329743164872,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004998118057080923,
+      "loss": 6.3045,
+      "mean_token_accuracy": 0.11891168132424354,
+      "num_tokens": 2089788.0,
+      "step": 1145
+    },
+    {
+      "entropy": 6.301202344894409,
+      "epoch": 0.9527754763877382,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004997985117516183,
+      "loss": 6.3462,
+      "mean_token_accuracy": 0.11142431199550629,
+      "num_tokens": 2098727.0,
+      "step": 1150
+    },
+    {
+      "entropy": 6.344118309020996,
+      "epoch": 0.9569179784589892,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997847643519803,
+      "loss": 6.226,
+      "mean_token_accuracy": 0.11924557387828827,
+      "num_tokens": 2107645.0,
+      "step": 1155
+    },
+    {
+      "entropy": 6.1790977954864506,
+      "epoch": 0.9610604805302403,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997705635369085,
+      "loss": 6.1991,
+      "mean_token_accuracy": 0.11988648250699044,
+      "num_tokens": 2116613.0,
+      "step": 1160
+    },
+    {
+      "entropy": 6.284418439865112,
+      "epoch": 0.9652029826014913,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004997559093350474,
+      "loss": 6.1881,
+      "mean_token_accuracy": 0.12116428092122078,
+      "num_tokens": 2125585.0,
+      "step": 1165
+    },
+    {
+      "entropy": 6.396596622467041,
+      "epoch": 0.9693454846727423,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004997408017759562,
+      "loss": 6.3359,
+      "mean_token_accuracy": 0.11936862170696258,
+      "num_tokens": 2134795.0,
+      "step": 1170
+    },
+    {
+      "entropy": 6.273751878738404,
+      "epoch": 0.9734879867439934,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004997252408901084,
+      "loss": 6.3271,
+      "mean_token_accuracy": 0.11899949684739113,
+      "num_tokens": 2143699.0,
+      "step": 1175
+    },
+    {
+      "entropy": 6.386678028106689,
+      "epoch": 0.9776304888152444,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004997092267088922,
+      "loss": 6.2707,
+      "mean_token_accuracy": 0.11861606612801552,
+      "num_tokens": 2152187.0,
+      "step": 1180
+    },
+    {
+      "entropy": 6.275117111206055,
+      "epoch": 0.9817729908864954,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004996927592646097,
+      "loss": 6.3412,
+      "mean_token_accuracy": 0.11767763197422028,
+      "num_tokens": 2160941.0,
+      "step": 1185
+    },
+    {
+      "entropy": 6.339710283279419,
+      "epoch": 0.9859154929577465,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004996758385904776,
+      "loss": 6.3119,
+      "mean_token_accuracy": 0.11789651140570641,
+      "num_tokens": 2168946.0,
+      "step": 1190
+    },
+    {
+      "entropy": 6.181374216079712,
+      "epoch": 0.9900579950289975,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004996584647206269,
+      "loss": 6.2237,
+      "mean_token_accuracy": 0.12055367529392243,
+      "num_tokens": 2177662.0,
+      "step": 1195
+    },
+    {
+      "entropy": 6.316773986816406,
+      "epoch": 0.9942004971002486,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004996406376901026,
+      "loss": 6.3268,
+      "mean_token_accuracy": 0.12757316455245019,
+      "num_tokens": 2187461.0,
+      "step": 1200
+    },
+    {
+      "entropy": 6.283385133743286,
+      "epoch": 0.9983429991714996,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004996223575348635,
+      "loss": 6.2207,
+      "mean_token_accuracy": 0.12578138560056687,
+      "num_tokens": 2196878.0,
+      "step": 1205
+    },
+    {
+      "entropy": 6.311019659042358,
+      "epoch": 1.0024855012427507,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004996036242917828,
+      "loss": 6.2021,
+      "mean_token_accuracy": 0.1151522897183895,
+      "num_tokens": 2206178.0,
+      "step": 1210
+    },
+    {
+      "entropy": 6.25421667098999,
+      "epoch": 1.0066280033140016,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004995844379986476,
+      "loss": 6.0526,
+      "mean_token_accuracy": 0.12476176023483276,
+      "num_tokens": 2215330.0,
+      "step": 1215
+    },
+    {
+      "entropy": 6.309921216964722,
+      "epoch": 1.0107705053852527,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004995647986941587,
+      "loss": 6.0354,
+      "mean_token_accuracy": 0.13005029112100602,
+      "num_tokens": 2224146.0,
+      "step": 1220
+    },
+    {
+      "entropy": 6.241363286972046,
+      "epoch": 1.0149130074565038,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004995447064179308,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13421598002314566,
+      "num_tokens": 2233646.0,
+      "step": 1225
+    },
+    {
+      "entropy": 6.058859920501709,
+      "epoch": 1.0190555095277547,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.000499524161210492,
+      "loss": 5.9379,
+      "mean_token_accuracy": 0.12560308948159218,
+      "num_tokens": 2243663.0,
+      "step": 1230
+    },
+    {
+      "entropy": 6.270004224777222,
+      "epoch": 1.0231980115990058,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004995031631132844,
+      "loss": 6.1035,
+      "mean_token_accuracy": 0.13170127123594283,
+      "num_tokens": 2252564.0,
+      "step": 1235
+    },
+    {
+      "entropy": 6.2710247993469235,
+      "epoch": 1.027340513670257,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004994817121686633,
+      "loss": 6.099,
+      "mean_token_accuracy": 0.12465815395116805,
+      "num_tokens": 2262504.0,
+      "step": 1240
+    },
+    {
+      "entropy": 6.193396997451782,
+      "epoch": 1.0314830157415078,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004994598084198979,
+      "loss": 5.9843,
+      "mean_token_accuracy": 0.1374910719692707,
+      "num_tokens": 2270553.0,
+      "step": 1245
+    },
+    {
+      "entropy": 6.136552810668945,
+      "epoch": 1.035625517812759,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004994374519111701,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.1272726461291313,
+      "num_tokens": 2279319.0,
+      "step": 1250
+    },
+    {
+      "entropy": 6.217378282546997,
+      "epoch": 1.03976801988401,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004994146426875757,
+      "loss": 6.123,
+      "mean_token_accuracy": 0.126935476064682,
+      "num_tokens": 2288749.0,
+      "step": 1255
+    },
+    {
+      "entropy": 6.218695068359375,
+      "epoch": 1.043910521955261,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004993913807951232,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.12562426924705505,
+      "num_tokens": 2298272.0,
+      "step": 1260
+    },
+    {
+      "entropy": 6.221994352340698,
+      "epoch": 1.048053024026512,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004993676662807345,
+      "loss": 6.047,
+      "mean_token_accuracy": 0.12884460240602494,
+      "num_tokens": 2307230.0,
+      "step": 1265
+    },
+    {
+      "entropy": 6.183428144454956,
+      "epoch": 1.0521955260977631,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004993434991922443,
+      "loss": 6.1317,
+      "mean_token_accuracy": 0.12460145726799965,
+      "num_tokens": 2316306.0,
+      "step": 1270
+    },
+    {
+      "entropy": 6.22090425491333,
+      "epoch": 1.056338028169014,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004993188795784002,
+      "loss": 6.0531,
+      "mean_token_accuracy": 0.1241947129368782,
+      "num_tokens": 2325672.0,
+      "step": 1275
+    },
+    {
+      "entropy": 6.1453857421875,
+      "epoch": 1.0604805302402651,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004992938074888628,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.1274007849395275,
+      "num_tokens": 2335251.0,
+      "step": 1280
+    },
+    {
+      "entropy": 6.180039167404175,
+      "epoch": 1.0646230323115162,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004992682829742052,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.1308726042509079,
+      "num_tokens": 2344054.0,
+      "step": 1285
+    },
+    {
+      "entropy": 6.086296463012696,
+      "epoch": 1.0687655343827671,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004992423060859132,
+      "loss": 6.0236,
+      "mean_token_accuracy": 0.127706591039896,
+      "num_tokens": 2353493.0,
+      "step": 1290
+    },
+    {
+      "entropy": 6.223158740997315,
+      "epoch": 1.0729080364540182,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004992158768763849,
+      "loss": 6.1321,
+      "mean_token_accuracy": 0.12850543335080147,
+      "num_tokens": 2362687.0,
+      "step": 1295
+    },
+    {
+      "entropy": 6.2506636619567875,
+      "epoch": 1.0770505385252693,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004991889953989308,
+      "loss": 6.0965,
+      "mean_token_accuracy": 0.12563316524028778,
+      "num_tokens": 2372325.0,
+      "step": 1300
+    },
+    {
+      "entropy": 6.173602199554443,
+      "epoch": 1.0811930405965202,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004991616617077741,
+      "loss": 6.12,
+      "mean_token_accuracy": 0.1287991665303707,
+      "num_tokens": 2381987.0,
+      "step": 1305
+    },
+    {
+      "entropy": 6.307486963272095,
+      "epoch": 1.0853355426677713,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004991338758580496,
+      "loss": 6.0234,
+      "mean_token_accuracy": 0.13178783878684044,
+      "num_tokens": 2390901.0,
+      "step": 1310
+    },
+    {
+      "entropy": 6.034789133071899,
+      "epoch": 1.0894780447390224,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004991056379058045,
+      "loss": 6.0813,
+      "mean_token_accuracy": 0.12450421676039695,
+      "num_tokens": 2400756.0,
+      "step": 1315
+    },
+    {
+      "entropy": 6.188017988204956,
+      "epoch": 1.0936205468102733,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004990769479079976,
+      "loss": 5.9232,
+      "mean_token_accuracy": 0.12984196096658707,
+      "num_tokens": 2409526.0,
+      "step": 1320
+    },
+    {
+      "entropy": 6.086554956436157,
+      "epoch": 1.0977630488815244,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004990478059225003,
+      "loss": 6.0931,
+      "mean_token_accuracy": 0.12972966134548186,
+      "num_tokens": 2419583.0,
+      "step": 1325
+    },
+    {
+      "entropy": 6.2457873821258545,
+      "epoch": 1.1019055509527755,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004990182120080945,
+      "loss": 6.0338,
+      "mean_token_accuracy": 0.12990806251764297,
+      "num_tokens": 2429439.0,
+      "step": 1330
+    },
+    {
+      "entropy": 6.078778219223023,
+      "epoch": 1.1060480530240264,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004989881662244748,
+      "loss": 6.0416,
+      "mean_token_accuracy": 0.12380676046013832,
+      "num_tokens": 2438467.0,
+      "step": 1335
+    },
+    {
+      "entropy": 6.138932418823242,
+      "epoch": 1.1101905550952775,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004989576686322468,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.1332716926932335,
+      "num_tokens": 2446619.0,
+      "step": 1340
+    },
+    {
+      "entropy": 6.1281578540802,
+      "epoch": 1.1143330571665286,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004989267192929272,
+      "loss": 6.0379,
+      "mean_token_accuracy": 0.12955363765358924,
+      "num_tokens": 2454998.0,
+      "step": 1345
+    },
+    {
+      "entropy": 6.09554443359375,
+      "epoch": 1.1184755592377795,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004988953182689445,
+      "loss": 6.0072,
+      "mean_token_accuracy": 0.13532012328505516,
+      "num_tokens": 2463497.0,
+      "step": 1350
+    },
+    {
+      "entropy": 6.134703922271728,
+      "epoch": 1.1226180613090306,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004988634656236378,
+      "loss": 5.9216,
+      "mean_token_accuracy": 0.13609320148825646,
+      "num_tokens": 2471763.0,
+      "step": 1355
+    },
+    {
+      "entropy": 6.145527791976929,
+      "epoch": 1.1267605633802817,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004988311614212576,
+      "loss": 6.0016,
+      "mean_token_accuracy": 0.1402701161801815,
+      "num_tokens": 2479949.0,
+      "step": 1360
+    },
+    {
+      "entropy": 6.116470623016357,
+      "epoch": 1.1309030654515326,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004987984057269648,
+      "loss": 6.0539,
+      "mean_token_accuracy": 0.13444141745567323,
+      "num_tokens": 2489097.0,
+      "step": 1365
+    },
+    {
+      "entropy": 5.972180604934692,
+      "epoch": 1.1350455675227837,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004987651986068311,
+      "loss": 5.8781,
+      "mean_token_accuracy": 0.13601028621196748,
+      "num_tokens": 2497625.0,
+      "step": 1370
+    },
+    {
+      "entropy": 6.143597984313965,
+      "epoch": 1.1391880695940348,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004987315401278394,
+      "loss": 6.1252,
+      "mean_token_accuracy": 0.1272761717438698,
+      "num_tokens": 2507107.0,
+      "step": 1375
+    },
+    {
+      "entropy": 6.286170959472656,
+      "epoch": 1.143330571665286,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004986974303578819,
+      "loss": 6.1408,
+      "mean_token_accuracy": 0.12348597794771195,
+      "num_tokens": 2516629.0,
+      "step": 1380
+    },
+    {
+      "entropy": 6.077923250198364,
+      "epoch": 1.1474730737365368,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004986628693657621,
+      "loss": 6.021,
+      "mean_token_accuracy": 0.1280151717364788,
+      "num_tokens": 2525924.0,
+      "step": 1385
+    },
+    {
+      "entropy": 6.229060649871826,
+      "epoch": 1.151615575807788,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004986278572211933,
+      "loss": 6.1723,
+      "mean_token_accuracy": 0.1280426375567913,
+      "num_tokens": 2535586.0,
+      "step": 1390
+    },
+    {
+      "entropy": 6.189875984191895,
+      "epoch": 1.1557580778790388,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004985923939947987,
+      "loss": 6.2595,
+      "mean_token_accuracy": 0.1247698113322258,
+      "num_tokens": 2546685.0,
+      "step": 1395
+    },
+    {
+      "entropy": 6.148470640182495,
+      "epoch": 1.15990057995029,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004985564797581115,
+      "loss": 5.9681,
+      "mean_token_accuracy": 0.12971177995204924,
+      "num_tokens": 2556873.0,
+      "step": 1400
+    },
+    {
+      "entropy": 6.143459701538086,
+      "epoch": 1.164043082021541,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004985201145835747,
+      "loss": 5.9836,
+      "mean_token_accuracy": 0.13127154856920242,
+      "num_tokens": 2565222.0,
+      "step": 1405
+    },
+    {
+      "entropy": 6.031957960128784,
+      "epoch": 1.1681855840927922,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.000498483298544541,
+      "loss": 5.9875,
+      "mean_token_accuracy": 0.13211632743477822,
+      "num_tokens": 2575467.0,
+      "step": 1410
+    },
+    {
+      "entropy": 6.136318731307983,
+      "epoch": 1.172328086164043,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000498446031715272,
+      "loss": 6.0125,
+      "mean_token_accuracy": 0.13508019223809242,
+      "num_tokens": 2583963.0,
+      "step": 1415
+    },
+    {
+      "entropy": 6.133963680267334,
+      "epoch": 1.1764705882352942,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004984083141709391,
+      "loss": 6.042,
+      "mean_token_accuracy": 0.13524071872234344,
+      "num_tokens": 2593350.0,
+      "step": 1420
+    },
+    {
+      "entropy": 5.975436115264893,
+      "epoch": 1.180613090306545,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000498370145987623,
+      "loss": 5.9652,
+      "mean_token_accuracy": 0.13682079091668128,
+      "num_tokens": 2602191.0,
+      "step": 1425
+    },
+    {
+      "entropy": 6.170718050003051,
+      "epoch": 1.1847555923777962,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004983315272423127,
+      "loss": 6.0999,
+      "mean_token_accuracy": 0.1291058838367462,
+      "num_tokens": 2613590.0,
+      "step": 1430
+    },
+    {
+      "entropy": 6.049332237243652,
+      "epoch": 1.1888980944490473,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004982924580129066,
+      "loss": 5.8895,
+      "mean_token_accuracy": 0.1340464949607849,
+      "num_tokens": 2622072.0,
+      "step": 1435
+    },
+    {
+      "entropy": 6.093293142318726,
+      "epoch": 1.1930405965202984,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004982529383782116,
+      "loss": 6.1012,
+      "mean_token_accuracy": 0.13022035285830497,
+      "num_tokens": 2630904.0,
+      "step": 1440
+    },
+    {
+      "entropy": 6.189996242523193,
+      "epoch": 1.1971830985915493,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004982129684179432,
+      "loss": 6.0594,
+      "mean_token_accuracy": 0.13088259026408194,
+      "num_tokens": 2639925.0,
+      "step": 1445
+    },
+    {
+      "entropy": 6.1187131881713865,
+      "epoch": 1.2013256006628004,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004981725482127251,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.13439981341362,
+      "num_tokens": 2649397.0,
+      "step": 1450
+    },
+    {
+      "entropy": 6.16315655708313,
+      "epoch": 1.2054681027340513,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004981316778440892,
+      "loss": 6.081,
+      "mean_token_accuracy": 0.13515593931078912,
+      "num_tokens": 2658877.0,
+      "step": 1455
+    },
+    {
+      "entropy": 6.063838720321655,
+      "epoch": 1.2096106048053024,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004980903573944756,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13121431767940522,
+      "num_tokens": 2668518.0,
+      "step": 1460
+    },
+    {
+      "entropy": 6.059180212020874,
+      "epoch": 1.2137531068765535,
+      "grad_norm": 1.0078125,
+      "learning_rate": 0.0004980485869472322,
+      "loss": 6.1148,
+      "mean_token_accuracy": 0.12996160089969636,
+      "num_tokens": 2677459.0,
+      "step": 1465
+    },
+    {
+      "entropy": 6.223527908325195,
+      "epoch": 1.2178956089478046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004980063665866143,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12482839822769165,
+      "num_tokens": 2686668.0,
+      "step": 1470
+    },
+    {
+      "entropy": 5.935272264480591,
+      "epoch": 1.2220381110190555,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004979636963977853,
+      "loss": 5.8825,
+      "mean_token_accuracy": 0.1352998949587345,
+      "num_tokens": 2695545.0,
+      "step": 1475
+    },
+    {
+      "entropy": 6.066101598739624,
+      "epoch": 1.2261806130903066,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004979205764668156,
+      "loss": 6.0569,
+      "mean_token_accuracy": 0.13228241056203843,
+      "num_tokens": 2705514.0,
+      "step": 1480
+    },
+    {
+      "entropy": 6.138315343856812,
+      "epoch": 1.2303231151615575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004978770068806825,
+      "loss": 5.9599,
+      "mean_token_accuracy": 0.13136665150523186,
+      "num_tokens": 2714373.0,
+      "step": 1485
+    },
+    {
+      "entropy": 6.061770391464234,
+      "epoch": 1.2344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.000497832987727271,
+      "loss": 6.0715,
+      "mean_token_accuracy": 0.1264137916266918,
+      "num_tokens": 2723887.0,
+      "step": 1490
+    },
+    {
+      "entropy": 6.061756038665772,
+      "epoch": 1.2386081193040597,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004977885190953724,
+      "loss": 5.956,
+      "mean_token_accuracy": 0.13353569880127908,
+      "num_tokens": 2733591.0,
+      "step": 1495
+    },
+    {
+      "entropy": 6.104292392730713,
+      "epoch": 1.2427506213753108,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004977436010746846,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.13720986992120743,
+      "num_tokens": 2741638.0,
+      "step": 1500
+    },
+    {
+      "epoch": 1.2427506213753108,
+      "eval_entropy": 6.029743814773397,
+      "eval_loss": 6.2611613273620605,
+      "eval_mean_token_accuracy": 0.12890694399219332,
+      "eval_num_tokens": 2741638.0,
+      "eval_runtime": 2.9518,
+      "eval_samples_per_second": 1269.399,
+      "eval_steps_per_second": 158.887,
+      "step": 1500
+    },
+    {
+      "entropy": 6.078821802139283,
+      "epoch": 1.2468931234465617,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004976982337558124,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13084649220108985,
+      "num_tokens": 2749711.0,
+      "step": 1505
+    },
+    {
+      "entropy": 6.094208097457885,
+      "epoch": 1.2510356255178128,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004976524172302665,
+      "loss": 6.121,
+      "mean_token_accuracy": 0.13192041367292404,
+      "num_tokens": 2758121.0,
+      "step": 1510
+    },
+    {
+      "entropy": 6.159745693206787,
+      "epoch": 1.2551781275890637,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004976061515904641,
+      "loss": 6.1181,
+      "mean_token_accuracy": 0.12667254582047463,
+      "num_tokens": 2766764.0,
+      "step": 1515
+    },
+    {
+      "entropy": 6.116680526733399,
+      "epoch": 1.2593206296603148,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004975594369297277,
+      "loss": 6.0557,
+      "mean_token_accuracy": 0.1348518520593643,
+      "num_tokens": 2775561.0,
+      "step": 1520
+    },
+    {
+      "entropy": 6.08063235282898,
+      "epoch": 1.2634631317315659,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004975122733422861,
+      "loss": 6.0201,
+      "mean_token_accuracy": 0.13085112273693084,
+      "num_tokens": 2784691.0,
+      "step": 1525
+    },
+    {
+      "entropy": 6.129113435745239,
+      "epoch": 1.267605633802817,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004974646609232732,
+      "loss": 5.9816,
+      "mean_token_accuracy": 0.13641836866736412,
+      "num_tokens": 2793893.0,
+      "step": 1530
+    },
+    {
+      "entropy": 6.108260202407837,
+      "epoch": 1.2717481358740679,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004974165997687288,
+      "loss": 6.0751,
+      "mean_token_accuracy": 0.13353196606040002,
+      "num_tokens": 2804479.0,
+      "step": 1535
+    },
+    {
+      "entropy": 6.16022138595581,
+      "epoch": 1.275890637945319,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004973680899755972,
+      "loss": 6.107,
+      "mean_token_accuracy": 0.1326654002070427,
+      "num_tokens": 2813966.0,
+      "step": 1540
+    },
+    {
+      "entropy": 6.007886743545532,
+      "epoch": 1.2800331400165699,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000497319131641728,
+      "loss": 5.9326,
+      "mean_token_accuracy": 0.13846119418740271,
+      "num_tokens": 2822328.0,
+      "step": 1545
+    },
+    {
+      "entropy": 6.003260755538941,
+      "epoch": 1.284175642087821,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004972697248658755,
+      "loss": 5.8899,
+      "mean_token_accuracy": 0.14066707715392113,
+      "num_tokens": 2829845.0,
+      "step": 1550
+    },
+    {
+      "entropy": 5.948832178115845,
+      "epoch": 1.288318144159072,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004972198697476987,
+      "loss": 5.8783,
+      "mean_token_accuracy": 0.13914238885045052,
+      "num_tokens": 2839040.0,
+      "step": 1555
+    },
+    {
+      "entropy": 5.961882209777832,
+      "epoch": 1.2924606462303232,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004971695663877607,
+      "loss": 5.9665,
+      "mean_token_accuracy": 0.13561231270432472,
+      "num_tokens": 2848574.0,
+      "step": 1560
+    },
+    {
+      "entropy": 6.077086877822876,
+      "epoch": 1.296603148301574,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004971188148875289,
+      "loss": 5.9421,
+      "mean_token_accuracy": 0.14444561377167703,
+      "num_tokens": 2856812.0,
+      "step": 1565
+    },
+    {
+      "entropy": 6.051652336120606,
+      "epoch": 1.3007456503728252,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004970676153493748,
+      "loss": 6.0283,
+      "mean_token_accuracy": 0.13189572617411613,
+      "num_tokens": 2866001.0,
+      "step": 1570
+    },
+    {
+      "entropy": 6.1068840503692625,
+      "epoch": 1.3048881524440763,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004970159678765731,
+      "loss": 6.0164,
+      "mean_token_accuracy": 0.13239546120166779,
+      "num_tokens": 2875181.0,
+      "step": 1575
+    },
+    {
+      "entropy": 6.049808597564697,
+      "epoch": 1.3090306545153272,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004969638725733028,
+      "loss": 5.9587,
+      "mean_token_accuracy": 0.13397156223654746,
+      "num_tokens": 2885103.0,
+      "step": 1580
+    },
+    {
+      "entropy": 5.92131872177124,
+      "epoch": 1.3131731565865783,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004969113295446455,
+      "loss": 5.9116,
+      "mean_token_accuracy": 0.1383065924048424,
+      "num_tokens": 2894055.0,
+      "step": 1585
+    },
+    {
+      "entropy": 6.116864538192749,
+      "epoch": 1.3173156586578294,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004968583388965863,
+      "loss": 5.9846,
+      "mean_token_accuracy": 0.133075200766325,
+      "num_tokens": 2903391.0,
+      "step": 1590
+    },
+    {
+      "entropy": 6.006745624542236,
+      "epoch": 1.3214581607290803,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004968049007360132,
+      "loss": 5.9854,
+      "mean_token_accuracy": 0.13297903537750244,
+      "num_tokens": 2911760.0,
+      "step": 1595
+    },
+    {
+      "entropy": 5.926331329345703,
+      "epoch": 1.3256006628003314,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004967510151707169,
+      "loss": 5.9369,
+      "mean_token_accuracy": 0.13469143435359002,
+      "num_tokens": 2920589.0,
+      "step": 1600
+    },
+    {
+      "entropy": 6.15295524597168,
+      "epoch": 1.3297431648715825,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004966966823093903,
+      "loss": 6.0746,
+      "mean_token_accuracy": 0.1302391268312931,
+      "num_tokens": 2929635.0,
+      "step": 1605
+    },
+    {
+      "entropy": 5.986531114578247,
+      "epoch": 1.3338856669428334,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004966419022616287,
+      "loss": 5.9349,
+      "mean_token_accuracy": 0.13593596145510672,
+      "num_tokens": 2938778.0,
+      "step": 1610
+    },
+    {
+      "entropy": 6.039755535125733,
+      "epoch": 1.3380281690140845,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004965866751379296,
+      "loss": 6.0503,
+      "mean_token_accuracy": 0.13109695687890052,
+      "num_tokens": 2947836.0,
+      "step": 1615
+    },
+    {
+      "entropy": 6.133180904388428,
+      "epoch": 1.3421706710853356,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004965310010496922,
+      "loss": 6.0032,
+      "mean_token_accuracy": 0.1280514419078827,
+      "num_tokens": 2957028.0,
+      "step": 1620
+    },
+    {
+      "entropy": 6.026159048080444,
+      "epoch": 1.3463131731565865,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004964748801092168,
+      "loss": 5.9571,
+      "mean_token_accuracy": 0.1338861681520939,
+      "num_tokens": 2966088.0,
+      "step": 1625
+    },
+    {
+      "entropy": 6.078959226608276,
+      "epoch": 1.3504556752278376,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004964183124297059,
+      "loss": 6.0438,
+      "mean_token_accuracy": 0.13178688064217567,
+      "num_tokens": 2975271.0,
+      "step": 1630
+    },
+    {
+      "entropy": 5.992210865020752,
+      "epoch": 1.3545981772990887,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004963612981252625,
+      "loss": 6.0524,
+      "mean_token_accuracy": 0.1321226365864277,
+      "num_tokens": 2983799.0,
+      "step": 1635
+    },
+    {
+      "entropy": 6.056794929504394,
+      "epoch": 1.3587406793703396,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004963038373108908,
+      "loss": 6.0179,
+      "mean_token_accuracy": 0.13609340488910676,
+      "num_tokens": 2992675.0,
+      "step": 1640
+    },
+    {
+      "entropy": 6.155933427810669,
+      "epoch": 1.3628831814415907,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004962459301024954,
+      "loss": 6.0838,
+      "mean_token_accuracy": 0.13211635649204254,
+      "num_tokens": 3002483.0,
+      "step": 1645
+    },
+    {
+      "entropy": 6.027872896194458,
+      "epoch": 1.3670256835128418,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004961875766168816,
+      "loss": 5.985,
+      "mean_token_accuracy": 0.13883458971977233,
+      "num_tokens": 3010611.0,
+      "step": 1650
+    },
+    {
+      "entropy": 6.057289028167725,
+      "epoch": 1.371168185584093,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004961287769717547,
+      "loss": 5.9397,
+      "mean_token_accuracy": 0.13197456523776055,
+      "num_tokens": 3019928.0,
+      "step": 1655
+    },
+    {
+      "entropy": 5.9325989246368405,
+      "epoch": 1.3753106876553438,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004960695312857199,
+      "loss": 5.9279,
+      "mean_token_accuracy": 0.13408055454492568,
+      "num_tokens": 3029003.0,
+      "step": 1660
+    },
+    {
+      "entropy": 6.0389604568481445,
+      "epoch": 1.379453189726595,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004960098396782824,
+      "loss": 5.9464,
+      "mean_token_accuracy": 0.1375861033797264,
+      "num_tokens": 3038049.0,
+      "step": 1665
+    },
+    {
+      "entropy": 5.969662141799927,
+      "epoch": 1.3835956917978458,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004959497022698466,
+      "loss": 5.9515,
+      "mean_token_accuracy": 0.14408120438456534,
+      "num_tokens": 3046674.0,
+      "step": 1670
+    },
+    {
+      "entropy": 6.0561059474945065,
+      "epoch": 1.387738193869097,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004958891191817163,
+      "loss": 5.9927,
+      "mean_token_accuracy": 0.12801324650645257,
+      "num_tokens": 3056459.0,
+      "step": 1675
+    },
+    {
+      "entropy": 6.032327270507812,
+      "epoch": 1.391880695940348,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000495828090536094,
+      "loss": 5.9845,
+      "mean_token_accuracy": 0.13036760538816453,
+      "num_tokens": 3066294.0,
+      "step": 1680
+    },
+    {
+      "entropy": 6.0512574195861815,
+      "epoch": 1.3960231980115991,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004957666164560815,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13139644563198088,
+      "num_tokens": 3075420.0,
+      "step": 1685
+    },
+    {
+      "entropy": 6.063203239440918,
+      "epoch": 1.40016570008285,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004957046970656784,
+      "loss": 6.0385,
+      "mean_token_accuracy": 0.13581736162304878,
+      "num_tokens": 3084373.0,
+      "step": 1690
+    },
+    {
+      "entropy": 6.00097541809082,
+      "epoch": 1.4043082021541011,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004956423324897831,
+      "loss": 6.0257,
+      "mean_token_accuracy": 0.13937310948967935,
+      "num_tokens": 3094212.0,
+      "step": 1695
+    },
+    {
+      "entropy": 6.043115425109863,
+      "epoch": 1.408450704225352,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004955795228541917,
+      "loss": 5.9589,
+      "mean_token_accuracy": 0.14452596232295037,
+      "num_tokens": 3102769.0,
+      "step": 1700
+    },
+    {
+      "entropy": 6.040110731124878,
+      "epoch": 1.4125932062966031,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000495516268285598,
+      "loss": 5.9805,
+      "mean_token_accuracy": 0.13440805301070213,
+      "num_tokens": 3111465.0,
+      "step": 1705
+    },
+    {
+      "entropy": 5.978239822387695,
+      "epoch": 1.4167357083678542,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004954525689115935,
+      "loss": 5.9177,
+      "mean_token_accuracy": 0.13326097056269645,
+      "num_tokens": 3121106.0,
+      "step": 1710
+    },
+    {
+      "entropy": 6.007881164550781,
+      "epoch": 1.4208782104391053,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004953884248606669,
+      "loss": 5.945,
+      "mean_token_accuracy": 0.14831372052431108,
+      "num_tokens": 3130662.0,
+      "step": 1715
+    },
+    {
+      "entropy": 5.97642674446106,
+      "epoch": 1.4250207125103562,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004953238362622034,
+      "loss": 5.9812,
+      "mean_token_accuracy": 0.13328263983130456,
+      "num_tokens": 3139538.0,
+      "step": 1720
+    },
+    {
+      "entropy": 6.0256367206573485,
+      "epoch": 1.4291632145816073,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004952588032464855,
+      "loss": 6.0298,
+      "mean_token_accuracy": 0.12707214802503586,
+      "num_tokens": 3148552.0,
+      "step": 1725
+    },
+    {
+      "entropy": 5.996851205825806,
+      "epoch": 1.4333057166528582,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004951933259446919,
+      "loss": 5.9365,
+      "mean_token_accuracy": 0.14197203740477563,
+      "num_tokens": 3156549.0,
+      "step": 1730
+    },
+    {
+      "entropy": 6.114988136291504,
+      "epoch": 1.4374482187241093,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004951274044888975,
+      "loss": 6.1006,
+      "mean_token_accuracy": 0.12147112190723419,
+      "num_tokens": 3166821.0,
+      "step": 1735
+    },
+    {
+      "entropy": 5.960144329071045,
+      "epoch": 1.4415907207953604,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004950610390120731,
+      "loss": 5.9848,
+      "mean_token_accuracy": 0.135729306191206,
+      "num_tokens": 3174962.0,
+      "step": 1740
+    },
+    {
+      "entropy": 6.087535095214844,
+      "epoch": 1.4457332228666115,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000494994229648085,
+      "loss": 5.8903,
+      "mean_token_accuracy": 0.13537728488445283,
+      "num_tokens": 3184027.0,
+      "step": 1745
+    },
+    {
+      "entropy": 5.957475805282593,
+      "epoch": 1.4498757249378624,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004949269765316948,
+      "loss": 6.0321,
+      "mean_token_accuracy": 0.13071285635232927,
+      "num_tokens": 3193186.0,
+      "step": 1750
+    },
+    {
+      "entropy": 6.171153354644775,
+      "epoch": 1.4540182270091135,
+      "grad_norm": 2.140625,
+      "learning_rate": 0.0004948592797985599,
+      "loss": 6.0525,
+      "mean_token_accuracy": 0.13555259853601456,
+      "num_tokens": 3202676.0,
+      "step": 1755
+    },
+    {
+      "entropy": 6.123908805847168,
+      "epoch": 1.4581607290803644,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947911395852317,
+      "loss": 6.1524,
+      "mean_token_accuracy": 0.1352410912513733,
+      "num_tokens": 3211950.0,
+      "step": 1760
+    },
+    {
+      "entropy": 6.120599699020386,
+      "epoch": 1.4623032311516155,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947225560291565,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12961760386824608,
+      "num_tokens": 3221135.0,
+      "step": 1765
+    },
+    {
+      "entropy": 5.962483358383179,
+      "epoch": 1.4664457332228666,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004946535292686746,
+      "loss": 5.8975,
+      "mean_token_accuracy": 0.13825839310884475,
+      "num_tokens": 3230174.0,
+      "step": 1770
+    },
+    {
+      "entropy": 5.979943370819091,
+      "epoch": 1.4705882352941178,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004945840594430209,
+      "loss": 5.8871,
+      "mean_token_accuracy": 0.1381668671965599,
+      "num_tokens": 3238898.0,
+      "step": 1775
+    },
+    {
+      "entropy": 5.973515844345092,
+      "epoch": 1.4747307373653686,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004945141466923235,
+      "loss": 5.9292,
+      "mean_token_accuracy": 0.14479121565818787,
+      "num_tokens": 3247550.0,
+      "step": 1780
+    },
+    {
+      "entropy": 6.113377714157105,
+      "epoch": 1.4788732394366197,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004944437911576041,
+      "loss": 6.0779,
+      "mean_token_accuracy": 0.12900342419743538,
+      "num_tokens": 3256810.0,
+      "step": 1785
+    },
+    {
+      "entropy": 5.9020613670349125,
+      "epoch": 1.4830157415078706,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004943729929807772,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.139550269395113,
+      "num_tokens": 3265886.0,
+      "step": 1790
+    },
+    {
+      "entropy": 6.06021089553833,
+      "epoch": 1.4871582435791217,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004943017523046507,
+      "loss": 5.9273,
+      "mean_token_accuracy": 0.137468421459198,
+      "num_tokens": 3274522.0,
+      "step": 1795
+    },
+    {
+      "entropy": 6.027210426330567,
+      "epoch": 1.4913007456503728,
+      "grad_norm": 1.25,
+      "learning_rate": 0.000494230069272925,
+      "loss": 6.0486,
+      "mean_token_accuracy": 0.13558472618460654,
+      "num_tokens": 3283388.0,
+      "step": 1800
+    },
+    {
+      "entropy": 5.989331531524658,
+      "epoch": 1.495443247721624,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004941579440301923,
+      "loss": 5.9224,
+      "mean_token_accuracy": 0.1305856943130493,
+      "num_tokens": 3291887.0,
+      "step": 1805
+    },
+    {
+      "entropy": 5.96136965751648,
+      "epoch": 1.4995857497928748,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940853767219372,
+      "loss": 5.9685,
+      "mean_token_accuracy": 0.13564062863588333,
+      "num_tokens": 3300674.0,
+      "step": 1810
+    },
+    {
+      "entropy": 5.9364429950714115,
+      "epoch": 1.503728251864126,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940123674945359,
+      "loss": 5.8311,
+      "mean_token_accuracy": 0.13808463513851166,
+      "num_tokens": 3309745.0,
+      "step": 1815
+    },
+    {
+      "entropy": 6.076629638671875,
+      "epoch": 1.5078707539353768,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004939389164952561,
+      "loss": 5.9722,
+      "mean_token_accuracy": 0.1378110609948635,
+      "num_tokens": 3318888.0,
+      "step": 1820
+    },
+    {
+      "entropy": 5.8970863819122314,
+      "epoch": 1.512013256006628,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004938650238722564,
+      "loss": 5.9296,
+      "mean_token_accuracy": 0.13823849260807036,
+      "num_tokens": 3328274.0,
+      "step": 1825
+    },
+    {
+      "entropy": 6.003948831558228,
+      "epoch": 1.516155758077879,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004937906897745861,
+      "loss": 5.9387,
+      "mean_token_accuracy": 0.1468382939696312,
+      "num_tokens": 3337579.0,
+      "step": 1830
+    },
+    {
+      "entropy": 6.045965003967285,
+      "epoch": 1.5202982601491302,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004937159143521856,
+      "loss": 5.9081,
+      "mean_token_accuracy": 0.14555162489414214,
+      "num_tokens": 3346262.0,
+      "step": 1835
+    },
+    {
+      "entropy": 5.972390079498291,
+      "epoch": 1.5244407622203813,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004936406977558847,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.13030771315097808,
+      "num_tokens": 3354833.0,
+      "step": 1840
+    },
+    {
+      "entropy": 6.051387977600098,
+      "epoch": 1.5285832642916322,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004935650401374039,
+      "loss": 6.0906,
+      "mean_token_accuracy": 0.14119647368788718,
+      "num_tokens": 3364314.0,
+      "step": 1845
+    },
+    {
+      "entropy": 6.046140813827515,
+      "epoch": 1.532725766362883,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004934889416493524,
+      "loss": 5.9157,
+      "mean_token_accuracy": 0.13524662256240844,
+      "num_tokens": 3373648.0,
+      "step": 1850
+    },
+    {
+      "entropy": 5.863892507553101,
+      "epoch": 1.5368682684341342,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004934124024452295,
+      "loss": 5.7869,
+      "mean_token_accuracy": 0.1471114367246628,
+      "num_tokens": 3382919.0,
+      "step": 1855
+    },
+    {
+      "entropy": 5.888700532913208,
+      "epoch": 1.5410107705053853,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004933354226794232,
+      "loss": 5.9383,
+      "mean_token_accuracy": 0.1432707317173481,
+      "num_tokens": 3391814.0,
+      "step": 1860
+    },
+    {
+      "entropy": 6.080925798416137,
+      "epoch": 1.5451532725766364,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004932580025072098,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.13580586463212968,
+      "num_tokens": 3400392.0,
+      "step": 1865
+    },
+    {
+      "entropy": 5.996384525299073,
+      "epoch": 1.5492957746478875,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004931801420847545,
+      "loss": 6.036,
+      "mean_token_accuracy": 0.13089759424328803,
+      "num_tokens": 3410430.0,
+      "step": 1870
+    },
+    {
+      "entropy": 5.932257795333863,
+      "epoch": 1.5534382767191384,
+      "grad_norm": 0.9609375,
+      "learning_rate": 0.0004931018415691102,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.13694921880960464,
+      "num_tokens": 3420654.0,
+      "step": 1875
+    },
+    {
+      "entropy": 5.951343011856079,
+      "epoch": 1.5575807787903893,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004930231011182176,
+      "loss": 5.9986,
+      "mean_token_accuracy": 0.13937177062034606,
+      "num_tokens": 3430514.0,
+      "step": 1880
+    },
+    {
+      "entropy": 6.071512508392334,
+      "epoch": 1.5617232808616404,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004929439208909048,
+      "loss": 5.9331,
+      "mean_token_accuracy": 0.1375361390411854,
+      "num_tokens": 3439551.0,
+      "step": 1885
+    },
+    {
+      "entropy": 5.902947330474854,
+      "epoch": 1.5658657829328915,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004928643010468869,
+      "loss": 5.8911,
+      "mean_token_accuracy": 0.13622887432575226,
+      "num_tokens": 3448160.0,
+      "step": 1890
+    },
+    {
+      "entropy": 5.993059539794922,
+      "epoch": 1.5700082850041426,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004927842417467659,
+      "loss": 5.9517,
+      "mean_token_accuracy": 0.14548188596963882,
+      "num_tokens": 3457296.0,
+      "step": 1895
+    },
+    {
+      "entropy": 6.027637386322022,
+      "epoch": 1.5741507870753937,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004927037431520302,
+      "loss": 5.9073,
+      "mean_token_accuracy": 0.14102519080042838,
+      "num_tokens": 3466108.0,
+      "step": 1900
+    },
+    {
+      "entropy": 5.975209665298462,
+      "epoch": 1.5782932891466446,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004926228054250541,
+      "loss": 5.9941,
+      "mean_token_accuracy": 0.14009249955415726,
+      "num_tokens": 3475336.0,
+      "step": 1905
+    },
+    {
+      "entropy": 6.073916673660278,
+      "epoch": 1.5824357912178955,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004925414287290979,
+      "loss": 5.9668,
+      "mean_token_accuracy": 0.13723743334412575,
+      "num_tokens": 3483963.0,
+      "step": 1910
+    },
+    {
+      "entropy": 5.848618030548096,
+      "epoch": 1.5865782932891466,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004924596132283075,
+      "loss": 5.8765,
+      "mean_token_accuracy": 0.14485997408628465,
+      "num_tokens": 3492947.0,
+      "step": 1915
+    },
+    {
+      "entropy": 5.966853284835816,
+      "epoch": 1.5907207953603977,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004923773590877135,
+      "loss": 5.9651,
+      "mean_token_accuracy": 0.13334692791104316,
+      "num_tokens": 3501877.0,
+      "step": 1920
+    },
+    {
+      "entropy": 6.042904996871949,
+      "epoch": 1.5948632974316488,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004922946664732314,
+      "loss": 6.0304,
+      "mean_token_accuracy": 0.13204361274838447,
+      "num_tokens": 3510610.0,
+      "step": 1925
+    },
+    {
+      "entropy": 6.0583656311035154,
+      "epoch": 1.5990057995029,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004922115355516615,
+      "loss": 5.9841,
+      "mean_token_accuracy": 0.13304307833313941,
+      "num_tokens": 3519829.0,
+      "step": 1930
+    },
+    {
+      "entropy": 6.015839862823486,
+      "epoch": 1.6031483015741508,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004921279664906877,
+      "loss": 5.9661,
+      "mean_token_accuracy": 0.13071200698614122,
+      "num_tokens": 3529408.0,
+      "step": 1935
+    },
+    {
+      "entropy": 5.924501991271972,
+      "epoch": 1.6072908036454017,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004920439594588781,
+      "loss": 5.8955,
+      "mean_token_accuracy": 0.14675913602113724,
+      "num_tokens": 3538068.0,
+      "step": 1940
+    },
+    {
+      "entropy": 6.051935148239136,
+      "epoch": 1.6114333057166528,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000491959514625684,
+      "loss": 6.0177,
+      "mean_token_accuracy": 0.13845598921179772,
+      "num_tokens": 3547302.0,
+      "step": 1945
+    },
+    {
+      "entropy": 5.956210565567017,
+      "epoch": 1.6155758077879039,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00049187463216144,
+      "loss": 5.9024,
+      "mean_token_accuracy": 0.145584287494421,
+      "num_tokens": 3556087.0,
+      "step": 1950
+    },
+    {
+      "entropy": 6.046857452392578,
+      "epoch": 1.619718309859155,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.000491789312237363,
+      "loss": 5.9857,
+      "mean_token_accuracy": 0.13579782098531723,
+      "num_tokens": 3566235.0,
+      "step": 1955
+    },
+    {
+      "entropy": 5.983897924423218,
+      "epoch": 1.623860811930406,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004917035550255528,
+      "loss": 5.899,
+      "mean_token_accuracy": 0.14092317298054696,
+      "num_tokens": 3574762.0,
+      "step": 1960
+    },
+    {
+      "entropy": 5.904513597488403,
+      "epoch": 1.628003314001657,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000491617360698991,
+      "loss": 5.8837,
+      "mean_token_accuracy": 0.139695380628109,
+      "num_tokens": 3583359.0,
+      "step": 1965
+    },
+    {
+      "entropy": 5.920687866210938,
+      "epoch": 1.6321458160729079,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004915307294315412,
+      "loss": 5.8505,
+      "mean_token_accuracy": 0.14011457338929176,
+      "num_tokens": 3591436.0,
+      "step": 1970
+    },
+    {
+      "entropy": 5.926318550109864,
+      "epoch": 1.636288318144159,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.000491443661397948,
+      "loss": 5.9355,
+      "mean_token_accuracy": 0.13468224480748175,
+      "num_tokens": 3601054.0,
+      "step": 1975
+    },
+    {
+      "entropy": 5.974443817138672,
+      "epoch": 1.64043082021541,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004913561567738368,
+      "loss": 5.9014,
+      "mean_token_accuracy": 0.1383673779666424,
+      "num_tokens": 3610641.0,
+      "step": 1980
+    },
+    {
+      "entropy": 5.912512636184692,
+      "epoch": 1.6445733222866612,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004912682157357146,
+      "loss": 5.8447,
+      "mean_token_accuracy": 0.13975749984383584,
+      "num_tokens": 3619351.0,
+      "step": 1985
+    },
+    {
+      "entropy": 5.853101539611816,
+      "epoch": 1.6487158243579123,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004911798384609675,
+      "loss": 5.8306,
+      "mean_token_accuracy": 0.1472959376871586,
+      "num_tokens": 3627341.0,
+      "step": 1990
+    },
+    {
+      "entropy": 5.942045879364014,
+      "epoch": 1.6528583264291632,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004910910251278626,
+      "loss": 5.8918,
+      "mean_token_accuracy": 0.14801610112190247,
+      "num_tokens": 3637132.0,
+      "step": 1995
+    },
+    {
+      "entropy": 5.919465351104736,
+      "epoch": 1.6570008285004143,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004910017759155458,
+      "loss": 5.9479,
+      "mean_token_accuracy": 0.1400071859359741,
+      "num_tokens": 3646196.0,
+      "step": 2000
+    },
+    {
+      "epoch": 1.6570008285004143,
+      "eval_entropy": 5.874394122979789,
+      "eval_loss": 6.1148576736450195,
+      "eval_mean_token_accuracy": 0.1363023624046525,
+      "eval_num_tokens": 3646196.0,
+      "eval_runtime": 2.7574,
+      "eval_samples_per_second": 1358.871,
+      "eval_steps_per_second": 170.085,
+      "step": 2000
+    },
+    {
+      "entropy": 5.967284250259399,
+      "epoch": 1.6611433305716652,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004909120910040427,
+      "loss": 5.8839,
+      "mean_token_accuracy": 0.1461731344461441,
+      "num_tokens": 3654658.0,
+      "step": 2005
+    },
+    {
+      "entropy": 6.045904684066772,
+      "epoch": 1.6652858326429163,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004908219705742574,
+      "loss": 6.1605,
+      "mean_token_accuracy": 0.13489469960331918,
+      "num_tokens": 3664509.0,
+      "step": 2010
+    },
+    {
+      "entropy": 6.002130031585693,
+      "epoch": 1.6694283347141674,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004907314148079727,
+      "loss": 5.8567,
+      "mean_token_accuracy": 0.1425239197909832,
+      "num_tokens": 3672983.0,
+      "step": 2015
+    },
+    {
+      "entropy": 5.708412790298462,
+      "epoch": 1.6735708367854185,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004906404238878496,
+      "loss": 5.7221,
+      "mean_token_accuracy": 0.14639501571655272,
+      "num_tokens": 3681196.0,
+      "step": 2020
+    },
+    {
+      "entropy": 5.97982873916626,
+      "epoch": 1.6777133388566694,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004905489979974265,
+      "loss": 5.9098,
+      "mean_token_accuracy": 0.14081615954637527,
+      "num_tokens": 3690077.0,
+      "step": 2025
+    },
+    {
+      "entropy": 5.942774772644043,
+      "epoch": 1.6818558409279205,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004904571373211197,
+      "loss": 5.9906,
+      "mean_token_accuracy": 0.13563016131520272,
+      "num_tokens": 3700121.0,
+      "step": 2030
+    },
+    {
+      "entropy": 5.897730588912964,
+      "epoch": 1.6859983429991714,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000490364842044222,
+      "loss": 5.8074,
+      "mean_token_accuracy": 0.14530285224318504,
+      "num_tokens": 3709618.0,
+      "step": 2035
+    },
+    {
+      "entropy": 5.954602289199829,
+      "epoch": 1.6901408450704225,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004902721123529031,
+      "loss": 5.9869,
+      "mean_token_accuracy": 0.12953415215015412,
+      "num_tokens": 3719570.0,
+      "step": 2040
+    },
+    {
+      "entropy": 6.074023342132568,
+      "epoch": 1.6942833471416736,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000490178948434209,
+      "loss": 5.9267,
+      "mean_token_accuracy": 0.14249598532915114,
+      "num_tokens": 3729354.0,
+      "step": 2045
+    },
+    {
+      "entropy": 5.833365964889526,
+      "epoch": 1.6984258492129247,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004900853504760614,
+      "loss": 5.8409,
+      "mean_token_accuracy": 0.14450331926345825,
+      "num_tokens": 3738453.0,
+      "step": 2050
+    },
+    {
+      "entropy": 5.888468265533447,
+      "epoch": 1.7025683512841756,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004899913186672577,
+      "loss": 5.8165,
+      "mean_token_accuracy": 0.14293194860219954,
+      "num_tokens": 3747815.0,
+      "step": 2055
+    },
+    {
+      "entropy": 5.914711236953735,
+      "epoch": 1.7067108533554267,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004898968531974702,
+      "loss": 5.9249,
+      "mean_token_accuracy": 0.14642315953969956,
+      "num_tokens": 3757298.0,
+      "step": 2060
+    },
+    {
+      "entropy": 5.978992033004761,
+      "epoch": 1.7108533554266776,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004898019542572462,
+      "loss": 5.9124,
+      "mean_token_accuracy": 0.14719650894403458,
+      "num_tokens": 3765939.0,
+      "step": 2065
+    },
+    {
+      "entropy": 6.005469894409179,
+      "epoch": 1.7149958574979287,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004897066220380073,
+      "loss": 5.933,
+      "mean_token_accuracy": 0.13779435828328132,
+      "num_tokens": 3775160.0,
+      "step": 2070
+    },
+    {
+      "entropy": 5.921374797821045,
+      "epoch": 1.7191383595691798,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004896108567320489,
+      "loss": 5.831,
+      "mean_token_accuracy": 0.14186858981847764,
+      "num_tokens": 3785181.0,
+      "step": 2075
+    },
+    {
+      "entropy": 5.972924375534058,
+      "epoch": 1.723280861640431,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048951465853254,
+      "loss": 5.9444,
+      "mean_token_accuracy": 0.14323145076632499,
+      "num_tokens": 3794531.0,
+      "step": 2080
+    },
+    {
+      "entropy": 5.953138160705566,
+      "epoch": 1.7274233637116818,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004894180276335231,
+      "loss": 5.934,
+      "mean_token_accuracy": 0.1396125227212906,
+      "num_tokens": 3804602.0,
+      "step": 2085
+    },
+    {
+      "entropy": 5.9721667766571045,
+      "epoch": 1.731565865782933,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004893209642299132,
+      "loss": 5.97,
+      "mean_token_accuracy": 0.1395590640604496,
+      "num_tokens": 3813394.0,
+      "step": 2090
+    },
+    {
+      "entropy": 5.97849326133728,
+      "epoch": 1.7357083678541838,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004892234685174976,
+      "loss": 5.962,
+      "mean_token_accuracy": 0.13808128908276557,
+      "num_tokens": 3821604.0,
+      "step": 2095
+    },
+    {
+      "entropy": 5.967495775222778,
+      "epoch": 1.739850869925435,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004891255406929359,
+      "loss": 5.9564,
+      "mean_token_accuracy": 0.13652343899011612,
+      "num_tokens": 3831977.0,
+      "step": 2100
+    },
+    {
+      "entropy": 5.98737063407898,
+      "epoch": 1.743993371996686,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004890271809537595,
+      "loss": 5.9017,
+      "mean_token_accuracy": 0.1393343411386013,
+      "num_tokens": 3840684.0,
+      "step": 2105
+    },
+    {
+      "entropy": 5.870862340927124,
+      "epoch": 1.7481358740679371,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004889283894983704,
+      "loss": 5.8147,
+      "mean_token_accuracy": 0.1389534741640091,
+      "num_tokens": 3851147.0,
+      "step": 2110
+    },
+    {
+      "entropy": 6.002704238891601,
+      "epoch": 1.752278376139188,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000488829166526042,
+      "loss": 5.9838,
+      "mean_token_accuracy": 0.13991605415940284,
+      "num_tokens": 3859881.0,
+      "step": 2115
+    },
+    {
+      "entropy": 5.948231506347656,
+      "epoch": 1.7564208782104391,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004887295122369176,
+      "loss": 6.0107,
+      "mean_token_accuracy": 0.13371825441718102,
+      "num_tokens": 3870151.0,
+      "step": 2120
+    },
+    {
+      "entropy": 5.99525203704834,
+      "epoch": 1.76056338028169,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.000488629426832011,
+      "loss": 5.9313,
+      "mean_token_accuracy": 0.13850879445672035,
+      "num_tokens": 3878398.0,
+      "step": 2125
+    },
+    {
+      "entropy": 5.924004030227661,
+      "epoch": 1.7647058823529411,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004885289105132054,
+      "loss": 5.8893,
+      "mean_token_accuracy": 0.14114601090550422,
+      "num_tokens": 3888007.0,
+      "step": 2130
+    },
+    {
+      "entropy": 5.930246257781983,
+      "epoch": 1.7688483844241922,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004884279634832532,
+      "loss": 5.8728,
+      "mean_token_accuracy": 0.14278061985969542,
+      "num_tokens": 3896945.0,
+      "step": 2135
+    },
+    {
+      "entropy": 5.940092372894287,
+      "epoch": 1.7729908864954433,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004883265859457754,
+      "loss": 5.8905,
+      "mean_token_accuracy": 0.1457919418811798,
+      "num_tokens": 3906049.0,
+      "step": 2140
+    },
+    {
+      "entropy": 5.866062164306641,
+      "epoch": 1.7771333885666944,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048822477810526186,
+      "loss": 5.8422,
+      "mean_token_accuracy": 0.1388966679573059,
+      "num_tokens": 3915050.0,
+      "step": 2145
+    },
+    {
+      "entropy": 5.966696119308471,
+      "epoch": 1.7812758906379453,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00048812254016706994,
+      "loss": 5.9205,
+      "mean_token_accuracy": 0.14728582575917243,
+      "num_tokens": 3924031.0,
+      "step": 2150
+    },
+    {
+      "entropy": 5.915832757949829,
+      "epoch": 1.7854183927091962,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004880198723374247,
+      "loss": 5.9776,
+      "mean_token_accuracy": 0.14149753525853156,
+      "num_tokens": 3933756.0,
+      "step": 2155
+    },
+    {
+      "entropy": 5.959774684906006,
+      "epoch": 1.7895608947804473,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048791677482341845,
+      "loss": 5.9592,
+      "mean_token_accuracy": 0.13750381171703338,
+      "num_tokens": 3943129.0,
+      "step": 2160
+    },
+    {
+      "entropy": 5.881538438796997,
+      "epoch": 1.7937033968516984,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048781324783301016,
+      "loss": 5.7912,
+      "mean_token_accuracy": 0.14508036673069,
+      "num_tokens": 3951494.0,
+      "step": 2165
+    },
+    {
+      "entropy": 5.946735525131226,
+      "epoch": 1.7978458989229495,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048770929157502505,
+      "loss": 5.9565,
+      "mean_token_accuracy": 0.143115097284317,
+      "num_tokens": 3960588.0,
+      "step": 2170
+    },
+    {
+      "entropy": 5.9805809497833256,
+      "epoch": 1.8019884009942007,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004876049062591543,
+      "loss": 5.9226,
+      "mean_token_accuracy": 0.13506680428981782,
+      "num_tokens": 3970135.0,
+      "step": 2175
+    },
+    {
+      "entropy": 5.950060653686523,
+      "epoch": 1.8061309030654515,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048750009209595443,
+      "loss": 5.9042,
+      "mean_token_accuracy": 0.13944360390305519,
+      "num_tokens": 3979569.0,
+      "step": 2180
+    },
+    {
+      "entropy": 5.88271656036377,
+      "epoch": 1.8102734051367024,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048739484929684714,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.144245932251215,
+      "num_tokens": 3987885.0,
+      "step": 2185
+    },
+    {
+      "entropy": 5.933677864074707,
+      "epoch": 1.8144159072079535,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048728917807411856,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.13125594183802605,
+      "num_tokens": 3997726.0,
+      "step": 2190
+    },
+    {
+      "entropy": 6.008653068542481,
+      "epoch": 1.8185584092792046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004871830786409191,
+      "loss": 5.8436,
+      "mean_token_accuracy": 0.14898036047816277,
+      "num_tokens": 4006437.0,
+      "step": 2195
+    },
+    {
+      "entropy": 5.856683444976807,
+      "epoch": 1.8227009113504558,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00048707655121126296,
+      "loss": 5.8124,
+      "mean_token_accuracy": 0.14927435666322708,
+      "num_tokens": 4015326.0,
+      "step": 2200
+    },
+    {
+      "entropy": 5.924995994567871,
+      "epoch": 1.8268434134217069,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048696959600002767,
+      "loss": 5.8722,
+      "mean_token_accuracy": 0.14032577201724053,
+      "num_tokens": 4024294.0,
+      "step": 2205
+    },
+    {
+      "entropy": 5.881852293014527,
+      "epoch": 1.8309859154929577,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048686221322295347,
+      "loss": 5.9028,
+      "mean_token_accuracy": 0.14340249821543694,
+      "num_tokens": 4033341.0,
+      "step": 2210
+    },
+    {
+      "entropy": 5.951443433761597,
+      "epoch": 1.8351284175642086,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048675440309664314,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.1474481076002121,
+      "num_tokens": 4042446.0,
+      "step": 2215
+    },
+    {
+      "entropy": 5.832607173919678,
+      "epoch": 1.8392709196354597,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00048664616583856166,
+      "loss": 5.8924,
+      "mean_token_accuracy": 0.13868724405765534,
+      "num_tokens": 4051849.0,
+      "step": 2220
+    },
+    {
+      "entropy": 6.026660823822022,
+      "epoch": 1.8434134217067109,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00048653750166703516,
+      "loss": 5.9855,
+      "mean_token_accuracy": 0.1381051518023014,
+      "num_tokens": 4061075.0,
+      "step": 2225
+    },
+    {
+      "entropy": 5.976817560195923,
+      "epoch": 1.847555923777962,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004864284108012513,
+      "loss": 5.9524,
+      "mean_token_accuracy": 0.13498588278889656,
+      "num_tokens": 4071022.0,
+      "step": 2230
+    },
+    {
+      "entropy": 5.884273719787598,
+      "epoch": 1.851698425849213,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004863188934612583,
+      "loss": 5.854,
+      "mean_token_accuracy": 0.1435965158045292,
+      "num_tokens": 4080728.0,
+      "step": 2235
+    },
+    {
+      "entropy": 5.8848789691925045,
+      "epoch": 1.855840927920464,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004862089498679645,
+      "loss": 5.8121,
+      "mean_token_accuracy": 0.15146355628967284,
+      "num_tokens": 4088712.0,
+      "step": 2240
+    },
+    {
+      "entropy": 5.904728364944458,
+      "epoch": 1.8599834299917148,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004860985802431383,
+      "loss": 5.8445,
+      "mean_token_accuracy": 0.14107747822999955,
+      "num_tokens": 4097488.0,
+      "step": 2245
+    },
+    {
+      "entropy": 5.815548610687256,
+      "epoch": 1.864125932062966,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004859877848094071,
+      "loss": 5.8328,
+      "mean_token_accuracy": 0.14647450745105745,
+      "num_tokens": 4106485.0,
+      "step": 2250
+    },
+    {
+      "entropy": 5.969652986526489,
+      "epoch": 1.868268434134217,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004858765637902575,
+      "loss": 5.8016,
+      "mean_token_accuracy": 0.14588006138801574,
+      "num_tokens": 4115806.0,
+      "step": 2255
+    },
+    {
+      "entropy": 5.982199335098267,
+      "epoch": 1.8724109362054682,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004857649174100344,
+      "loss": 5.9353,
+      "mean_token_accuracy": 0.14478921219706536,
+      "num_tokens": 4124636.0,
+      "step": 2260
+    },
+    {
+      "entropy": 5.869907474517822,
+      "epoch": 1.8765534382767193,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.0004856528458939409,
+      "loss": 5.8948,
+      "mean_token_accuracy": 0.13403457626700402,
+      "num_tokens": 4133876.0,
+      "step": 2265
+    },
+    {
+      "entropy": 5.836872100830078,
+      "epoch": 1.8806959403479702,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004855403494680373,
+      "loss": 5.8159,
+      "mean_token_accuracy": 0.14096100330352784,
+      "num_tokens": 4143555.0,
+      "step": 2270
+    },
+    {
+      "entropy": 5.871636962890625,
+      "epoch": 1.884838442419221,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00048542742835924133,
+      "loss": 5.7773,
+      "mean_token_accuracy": 0.14253296032547952,
+      "num_tokens": 4153007.0,
+      "step": 2275
+    },
+    {
+      "entropy": 5.766701364517212,
+      "epoch": 1.8889809444904722,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048531408279532705,
+      "loss": 5.8171,
+      "mean_token_accuracy": 0.14552054405212403,
+      "num_tokens": 4162107.0,
+      "step": 2280
+    },
+    {
+      "entropy": 5.884533357620239,
+      "epoch": 1.8931234465617233,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048520031300492507,
+      "loss": 5.8208,
+      "mean_token_accuracy": 0.14203491136431695,
+      "num_tokens": 4170920.0,
+      "step": 2285
+    },
+    {
+      "entropy": 5.9367118835449215,
+      "epoch": 1.8972659486329744,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048508611921752124,
+      "loss": 5.8366,
+      "mean_token_accuracy": 0.14547978863120078,
+      "num_tokens": 4180226.0,
+      "step": 2290
+    },
+    {
+      "entropy": 5.804201984405518,
+      "epoch": 1.9014084507042255,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00048497150166345703,
+      "loss": 5.7799,
+      "mean_token_accuracy": 0.14307984560728074,
+      "num_tokens": 4189283.0,
+      "step": 2295
+    },
+    {
+      "entropy": 5.833661937713623,
+      "epoch": 1.9055509527754764,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004848564605739287,
+      "loss": 5.8181,
+      "mean_token_accuracy": 0.14286661818623542,
+      "num_tokens": 4199017.0,
+      "step": 2300
+    },
+    {
+      "entropy": 5.985245418548584,
+      "epoch": 1.9096934548467275,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048474099618098644,
+      "loss": 5.9557,
+      "mean_token_accuracy": 0.13776218444108962,
+      "num_tokens": 4207756.0,
+      "step": 2305
+    },
+    {
+      "entropy": 5.926583385467529,
+      "epoch": 1.9138359569179784,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004846251087175348,
+      "loss": 5.8467,
+      "mean_token_accuracy": 0.14270823299884797,
+      "num_tokens": 4216721.0,
+      "step": 2310
+    },
+    {
+      "entropy": 5.816466999053955,
+      "epoch": 1.9179784589892295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004845087984173312,
+      "loss": 5.8214,
+      "mean_token_accuracy": 0.14952016696333886,
+      "num_tokens": 4225596.0,
+      "step": 2315
+    },
+    {
+      "entropy": 5.975145244598389,
+      "epoch": 1.9221209610604806,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048439206551498644,
+      "loss": 5.8881,
+      "mean_token_accuracy": 0.14604572355747222,
+      "num_tokens": 4234500.0,
+      "step": 2320
+    },
+    {
+      "entropy": 5.83410792350769,
+      "epoch": 1.9262634631317317,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004842749102459635,
+      "loss": 5.8331,
+      "mean_token_accuracy": 0.14477182626724244,
+      "num_tokens": 4243240.0,
+      "step": 2325
+    },
+    {
+      "entropy": 5.799895906448365,
+      "epoch": 1.9304059652029826,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048415733284657727,
+      "loss": 5.8249,
+      "mean_token_accuracy": 0.14724751114845275,
+      "num_tokens": 4251892.0,
+      "step": 2330
+    },
+    {
+      "entropy": 5.914888668060303,
+      "epoch": 1.9345484672742337,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004840393335539943,
+      "loss": 5.784,
+      "mean_token_accuracy": 0.14537777602672577,
+      "num_tokens": 4261447.0,
+      "step": 2335
+    },
+    {
+      "entropy": 5.93565788269043,
+      "epoch": 1.9386909693454846,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048392091260623195,
+      "loss": 5.9202,
+      "mean_token_accuracy": 0.1471864774823189,
+      "num_tokens": 4270120.0,
+      "step": 2340
+    },
+    {
+      "entropy": 5.905978488922119,
+      "epoch": 1.9428334714167357,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048380207024215836,
+      "loss": 5.7991,
+      "mean_token_accuracy": 0.1482786476612091,
+      "num_tokens": 4278300.0,
+      "step": 2345
+    },
+    {
+      "entropy": 5.905145263671875,
+      "epoch": 1.9469759734879868,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00048368280670149145,
+      "loss": 5.8487,
+      "mean_token_accuracy": 0.1461447760462761,
+      "num_tokens": 4286454.0,
+      "step": 2350
+    },
+    {
+      "entropy": 5.805000495910645,
+      "epoch": 1.951118475559238,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004835631222247989,
+      "loss": 5.7243,
+      "mean_token_accuracy": 0.15050614029169082,
+      "num_tokens": 4294752.0,
+      "step": 2355
+    },
+    {
+      "entropy": 5.907592630386352,
+      "epoch": 1.9552609776304888,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00048344301705349735,
+      "loss": 5.7974,
+      "mean_token_accuracy": 0.14830030649900436,
+      "num_tokens": 4303195.0,
+      "step": 2360
+    },
+    {
+      "entropy": 5.841587924957276,
+      "epoch": 1.95940347970174,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048332249142985195,
+      "loss": 5.9211,
+      "mean_token_accuracy": 0.1373597078025341,
+      "num_tokens": 4311961.0,
+      "step": 2365
+    },
+    {
+      "entropy": 5.900353670120239,
+      "epoch": 1.9635459817729908,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004832015455969763,
+      "loss": 5.7748,
+      "mean_token_accuracy": 0.13879901468753814,
+      "num_tokens": 4322267.0,
+      "step": 2370
+    },
+    {
+      "entropy": 5.774641275405884,
+      "epoch": 1.9676884838442419,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048308017979883114,
+      "loss": 5.8838,
+      "mean_token_accuracy": 0.1426581546664238,
+      "num_tokens": 4330584.0,
+      "step": 2375
+    },
+    {
+      "entropy": 5.840176010131836,
+      "epoch": 1.971830985915493,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048295839428022454,
+      "loss": 5.7215,
+      "mean_token_accuracy": 0.14949245899915695,
+      "num_tokens": 4339215.0,
+      "step": 2380
+    },
+    {
+      "entropy": 5.869688034057617,
+      "epoch": 1.975973487986744,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00048283618928681127,
+      "loss": 5.7418,
+      "mean_token_accuracy": 0.1501791574060917,
+      "num_tokens": 4347711.0,
+      "step": 2385
+    },
+    {
+      "entropy": 5.764533996582031,
+      "epoch": 1.980115990057995,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004827135650650923,
+      "loss": 5.7445,
+      "mean_token_accuracy": 0.14758301600813867,
+      "num_tokens": 4356982.0,
+      "step": 2390
+    },
+    {
+      "entropy": 5.770398235321045,
+      "epoch": 1.984258492129246,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004825905218624139,
+      "loss": 5.7696,
+      "mean_token_accuracy": 0.14773683473467827,
+      "num_tokens": 4365378.0,
+      "step": 2395
+    },
+    {
+      "entropy": 5.9908288478851315,
+      "epoch": 1.988400994200497,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048246705992696756,
+      "loss": 5.8174,
+      "mean_token_accuracy": 0.14142358154058457,
+      "num_tokens": 4374007.0,
+      "step": 2400
+    },
+    {
+      "entropy": 5.9741987705230715,
+      "epoch": 1.992543496271748,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048234317950778975,
+      "loss": 5.9346,
+      "mean_token_accuracy": 0.1409923940896988,
+      "num_tokens": 4383909.0,
+      "step": 2405
+    },
+    {
+      "entropy": 5.967488718032837,
+      "epoch": 1.9966859983429992,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004822188808547607,
+      "loss": 5.9967,
+      "mean_token_accuracy": 0.13560240790247918,
+      "num_tokens": 4393145.0,
+      "step": 2410
+    },
+    {
+      "entropy": 5.751282596588135,
+      "epoch": 2.0008285004142503,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004820941642186043,
+      "loss": 5.7146,
+      "mean_token_accuracy": 0.14043126851320267,
+      "num_tokens": 4402024.0,
+      "step": 2415
+    },
+    {
+      "entropy": 5.91456356048584,
+      "epoch": 2.0049710024855014,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004819690298508879,
+      "loss": 5.5395,
+      "mean_token_accuracy": 0.1603303700685501,
+      "num_tokens": 4411377.0,
+      "step": 2420
+    },
+    {
+      "entropy": 5.758482313156128,
+      "epoch": 2.009113504556752,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048184347800402083,
+      "loss": 5.4299,
+      "mean_token_accuracy": 0.16564757078886033,
+      "num_tokens": 4419781.0,
+      "step": 2425
+    },
+    {
+      "entropy": 5.727555131912231,
+      "epoch": 2.013256006628003,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004817175089312551,
+      "loss": 5.4154,
+      "mean_token_accuracy": 0.16400155574083328,
+      "num_tokens": 4428427.0,
+      "step": 2430
+    },
+    {
+      "entropy": 5.749885892868042,
+      "epoch": 2.0173985086992543,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048159112288668403,
+      "loss": 5.4586,
+      "mean_token_accuracy": 0.15933601409196854,
+      "num_tokens": 4438156.0,
+      "step": 2435
+    },
+    {
+      "entropy": 5.876013088226318,
+      "epoch": 2.0215410107705054,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00048146432012524215,
+      "loss": 5.4819,
+      "mean_token_accuracy": 0.16306492537260056,
+      "num_tokens": 4446342.0,
+      "step": 2440
+    },
+    {
+      "entropy": 5.738983201980591,
+      "epoch": 2.0256835128417565,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00048133710090270446,
+      "loss": 5.5229,
+      "mean_token_accuracy": 0.1542331963777542,
+      "num_tokens": 4455582.0,
+      "step": 2445
+    },
+    {
+      "entropy": 5.815389633178711,
+      "epoch": 2.0298260149130076,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048120946547568596,
+      "loss": 5.5375,
+      "mean_token_accuracy": 0.15604802072048188,
+      "num_tokens": 4464518.0,
+      "step": 2450
+    },
+    {
+      "entropy": 5.927202749252319,
+      "epoch": 2.0339685169842583,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00048108141410164133,
+      "loss": 5.6588,
+      "mean_token_accuracy": 0.14534952044486998,
+      "num_tokens": 4475031.0,
+      "step": 2455
+    },
+    {
+      "entropy": 5.8722837448120115,
+      "epoch": 2.0381110190555094,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004809529470388642,
+      "loss": 5.5396,
+      "mean_token_accuracy": 0.1577153742313385,
+      "num_tokens": 4484609.0,
+      "step": 2460
+    },
+    {
+      "entropy": 5.787671709060669,
+      "epoch": 2.0422535211267605,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004808240645464866,
+      "loss": 5.5698,
+      "mean_token_accuracy": 0.15477177649736404,
+      "num_tokens": 4494238.0,
+      "step": 2465
+    },
+    {
+      "entropy": 5.684235668182373,
+      "epoch": 2.0463960231980116,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004806947668844787,
+      "loss": 5.4573,
+      "mean_token_accuracy": 0.16172746568918228,
+      "num_tokens": 4503258.0,
+      "step": 2470
+    },
+    {
+      "entropy": 5.786364412307739,
+      "epoch": 2.0505385252692627,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048056505431364794,
+      "loss": 5.5091,
+      "mean_token_accuracy": 0.15975141078233718,
+      "num_tokens": 4512071.0,
+      "step": 2475
+    },
+    {
+      "entropy": 5.736668491363526,
+      "epoch": 2.054681027340514,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00048043492709563877,
+      "loss": 5.3461,
+      "mean_token_accuracy": 0.17059434503316878,
+      "num_tokens": 4520219.0,
+      "step": 2480
+    },
+    {
+      "entropy": 5.672813034057617,
+      "epoch": 2.0588235294117645,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048030438549293193,
+      "loss": 5.5568,
+      "mean_token_accuracy": 0.15284566581249237,
+      "num_tokens": 4529386.0,
+      "step": 2485
+    },
+    {
+      "entropy": 5.830966377258301,
+      "epoch": 2.0629660314830156,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00048017342976884424,
+      "loss": 5.5638,
+      "mean_token_accuracy": 0.15199215039610864,
+      "num_tokens": 4538860.0,
+      "step": 2490
+    },
+    {
+      "entropy": 5.761076402664185,
+      "epoch": 2.0671085335542667,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048004206018752773,
+      "loss": 5.5299,
+      "mean_token_accuracy": 0.15335657596588134,
+      "num_tokens": 4547842.0,
+      "step": 2495
+    },
+    {
+      "entropy": 5.733208799362183,
+      "epoch": 2.071251035625518,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047991027701396895,
+      "loss": 5.5026,
+      "mean_token_accuracy": 0.15411428660154342,
+      "num_tokens": 4556238.0,
+      "step": 2500
+    },
+    {
+      "epoch": 2.071251035625518,
+      "eval_entropy": 5.642364594473768,
+      "eval_loss": 6.032641410827637,
+      "eval_mean_token_accuracy": 0.1416530203399882,
+      "eval_num_tokens": 4556238.0,
+      "eval_runtime": 2.7817,
+      "eval_samples_per_second": 1347.034,
+      "eval_steps_per_second": 168.604,
+      "step": 2500
+    },
+    {
+      "entropy": 5.732073068618774,
+      "epoch": 2.075393537696769,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004797780805139892,
+      "loss": 5.5069,
+      "mean_token_accuracy": 0.1587075412273407,
+      "num_tokens": 4565684.0,
+      "step": 2505
+    },
+    {
+      "entropy": 5.722462224960327,
+      "epoch": 2.07953603976802,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004796454709542432,
+      "loss": 5.467,
+      "mean_token_accuracy": 0.1590041533112526,
+      "num_tokens": 4575001.0,
+      "step": 2510
+    },
+    {
+      "entropy": 5.797696113586426,
+      "epoch": 2.083678541839271,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004795124486022189,
+      "loss": 5.5732,
+      "mean_token_accuracy": 0.15362634360790253,
+      "num_tokens": 4584128.0,
+      "step": 2515
+    },
+    {
+      "entropy": 5.711380529403686,
+      "epoch": 2.087821043910522,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047937901372623694,
+      "loss": 5.4191,
+      "mean_token_accuracy": 0.16894411891698838,
+      "num_tokens": 4593011.0,
+      "step": 2520
+    },
+    {
+      "entropy": 5.688450145721435,
+      "epoch": 2.091963545981773,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00047924516659545005,
+      "loss": 5.4668,
+      "mean_token_accuracy": 0.16164053976535797,
+      "num_tokens": 4602676.0,
+      "step": 2525
+    },
+    {
+      "entropy": 5.79151463508606,
+      "epoch": 2.096106048053024,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004791109074798425,
+      "loss": 5.5522,
+      "mean_token_accuracy": 0.15433578938245773,
+      "num_tokens": 4611915.0,
+      "step": 2530
+    },
+    {
+      "entropy": 5.748647403717041,
+      "epoch": 2.100248550124275,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004789762366502296,
+      "loss": 5.5184,
+      "mean_token_accuracy": 0.15959300100803375,
+      "num_tokens": 4621396.0,
+      "step": 2535
+    },
+    {
+      "entropy": 5.7374598503112795,
+      "epoch": 2.1043910521955262,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004788411543782571,
+      "loss": 5.5201,
+      "mean_token_accuracy": 0.1591552659869194,
+      "num_tokens": 4630533.0,
+      "step": 2540
+    },
+    {
+      "entropy": 5.678498649597168,
+      "epoch": 2.108533554266777,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004787056609364008,
+      "loss": 5.4599,
+      "mean_token_accuracy": 0.1542729303240776,
+      "num_tokens": 4639023.0,
+      "step": 2545
+    },
+    {
+      "entropy": 5.711474943161011,
+      "epoch": 2.112676056338028,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004785697565979657,
+      "loss": 5.4732,
+      "mean_token_accuracy": 0.15900285094976424,
+      "num_tokens": 4647975.0,
+      "step": 2550
+    },
+    {
+      "entropy": 5.72883243560791,
+      "epoch": 2.116818558409279,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004784334416370857,
+      "loss": 5.498,
+      "mean_token_accuracy": 0.15594277828931807,
+      "num_tokens": 4657555.0,
+      "step": 2555
+    },
+    {
+      "entropy": 5.745093822479248,
+      "epoch": 2.1209610604805302,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004782967163287231,
+      "loss": 5.4193,
+      "mean_token_accuracy": 0.16100153774023057,
+      "num_tokens": 4667228.0,
+      "step": 2560
+    },
+    {
+      "entropy": 5.716836738586426,
+      "epoch": 2.1251035625517813,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047815958094866756,
+      "loss": 5.4957,
+      "mean_token_accuracy": 0.1513967014849186,
+      "num_tokens": 4676723.0,
+      "step": 2565
+    },
+    {
+      "entropy": 5.7276163578033445,
+      "epoch": 2.1292460646230325,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004780220357735363,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.15479894131422042,
+      "num_tokens": 4686241.0,
+      "step": 2570
+    },
+    {
+      "entropy": 5.764811038970947,
+      "epoch": 2.1333885666942836,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047788408108077294,
+      "loss": 5.5404,
+      "mean_token_accuracy": 0.1561874568462372,
+      "num_tokens": 4695195.0,
+      "step": 2575
+    },
+    {
+      "entropy": 5.739376497268677,
+      "epoch": 2.1375310687655342,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004777457171486471,
+      "loss": 5.5871,
+      "mean_token_accuracy": 0.15551834553480148,
+      "num_tokens": 4704716.0,
+      "step": 2580
+    },
+    {
+      "entropy": 5.769967555999756,
+      "epoch": 2.1416735708367853,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004776069442562541,
+      "loss": 5.5562,
+      "mean_token_accuracy": 0.15339450240135194,
+      "num_tokens": 4713720.0,
+      "step": 2585
+    },
+    {
+      "entropy": 5.733342504501342,
+      "epoch": 2.1458160729080364,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004774677626835138,
+      "loss": 5.5366,
+      "mean_token_accuracy": 0.15301723331212996,
+      "num_tokens": 4722428.0,
+      "step": 2590
+    },
+    {
+      "entropy": 5.787648677825928,
+      "epoch": 2.1499585749792876,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00047732817271117084,
+      "loss": 5.5365,
+      "mean_token_accuracy": 0.15334974452853203,
+      "num_tokens": 4732395.0,
+      "step": 2595
+    },
+    {
+      "entropy": 5.773520803451538,
+      "epoch": 2.1541010770505387,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004771881746207934,
+      "loss": 5.5206,
+      "mean_token_accuracy": 0.15674114525318145,
+      "num_tokens": 4741071.0,
+      "step": 2600
+    },
+    {
+      "entropy": 5.607013797760009,
+      "epoch": 2.1582435791217898,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047704776869477285,
+      "loss": 5.5153,
+      "mean_token_accuracy": 0.15076877027750016,
+      "num_tokens": 4749876.0,
+      "step": 2605
+    },
+    {
+      "entropy": 5.784313154220581,
+      "epoch": 2.1623860811930404,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00047690695521632344,
+      "loss": 5.4669,
+      "mean_token_accuracy": 0.16002854704856873,
+      "num_tokens": 4758721.0,
+      "step": 2610
+    },
+    {
+      "entropy": 5.6919313907623295,
+      "epoch": 2.1665285832642915,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047676573446948114,
+      "loss": 5.4832,
+      "mean_token_accuracy": 0.15925751626491547,
+      "num_tokens": 4767162.0,
+      "step": 2615
+    },
+    {
+      "entropy": 5.71550760269165,
+      "epoch": 2.1706710853355426,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047662410673910376,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.1629578560590744,
+      "num_tokens": 4776397.0,
+      "step": 2620
+    },
+    {
+      "entropy": 5.665811157226562,
+      "epoch": 2.1748135874067938,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047648207231087,
+      "loss": 5.4579,
+      "mean_token_accuracy": 0.15894875824451446,
+      "num_tokens": 4784822.0,
+      "step": 2625
+    },
+    {
+      "entropy": 5.71003270149231,
+      "epoch": 2.178956089478045,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004763396314712786,
+      "loss": 5.5297,
+      "mean_token_accuracy": 0.15831661075353623,
+      "num_tokens": 4794272.0,
+      "step": 2630
+    },
+    {
+      "entropy": 5.64026665687561,
+      "epoch": 2.183098591549296,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004761967845076484,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.15510014593601226,
+      "num_tokens": 4804314.0,
+      "step": 2635
+    },
+    {
+      "entropy": 5.6847330093383786,
+      "epoch": 2.1872410936205466,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004760535317081174,
+      "loss": 5.4694,
+      "mean_token_accuracy": 0.15845878273248673,
+      "num_tokens": 4812685.0,
+      "step": 2640
+    },
+    {
+      "entropy": 5.715235567092895,
+      "epoch": 2.1913835956917977,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047590987336164207,
+      "loss": 5.5532,
+      "mean_token_accuracy": 0.1562129870057106,
+      "num_tokens": 4821761.0,
+      "step": 2645
+    },
+    {
+      "entropy": 5.741413831710815,
+      "epoch": 2.195526097763049,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00047576580975799705,
+      "loss": 5.5307,
+      "mean_token_accuracy": 0.1623195379972458,
+      "num_tokens": 4830515.0,
+      "step": 2650
+    },
+    {
+      "entropy": 5.782008934020996,
+      "epoch": 2.1996685998343,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004756213411877743,
+      "loss": 5.5059,
+      "mean_token_accuracy": 0.14879967421293258,
+      "num_tokens": 4840741.0,
+      "step": 2655
+    },
+    {
+      "entropy": 5.612497425079345,
+      "epoch": 2.203811101905551,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047547646794238277,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.16198884546756745,
+      "num_tokens": 4849571.0,
+      "step": 2660
+    },
+    {
+      "entropy": 5.689143991470337,
+      "epoch": 2.207953603976802,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047533119031404757,
+      "loss": 5.4138,
+      "mean_token_accuracy": 0.1696420982480049,
+      "num_tokens": 4857194.0,
+      "step": 2665
+    },
+    {
+      "entropy": 5.632621717453003,
+      "epoch": 2.212096106048053,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00047518550859580966,
+      "loss": 5.5074,
+      "mean_token_accuracy": 0.1592964008450508,
+      "num_tokens": 4865894.0,
+      "step": 2670
+    },
+    {
+      "entropy": 5.74289755821228,
+      "epoch": 2.216238608119304,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004750394230815249,
+      "loss": 5.5268,
+      "mean_token_accuracy": 0.15829544067382811,
+      "num_tokens": 4875131.0,
+      "step": 2675
+    },
+    {
+      "entropy": 5.670539522171021,
+      "epoch": 2.220381110190555,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047489293406586375,
+      "loss": 5.3777,
+      "mean_token_accuracy": 0.1620385766029358,
+      "num_tokens": 4884098.0,
+      "step": 2680
+    },
+    {
+      "entropy": 5.657269620895386,
+      "epoch": 2.224523612261806,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004747460418443106,
+      "loss": 5.4373,
+      "mean_token_accuracy": 0.15941016003489494,
+      "num_tokens": 4892963.0,
+      "step": 2685
+    },
+    {
+      "entropy": 5.690485191345215,
+      "epoch": 2.2286661143330573,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047459874671316305,
+      "loss": 5.4903,
+      "mean_token_accuracy": 0.15749651044607163,
+      "num_tokens": 4902097.0,
+      "step": 2690
+    },
+    {
+      "entropy": 5.608357000350952,
+      "epoch": 2.2328086164043084,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00047445104896953153,
+      "loss": 5.4015,
+      "mean_token_accuracy": 0.16532779037952422,
+      "num_tokens": 4910469.0,
+      "step": 2695
+    },
+    {
+      "entropy": 5.82715744972229,
+      "epoch": 2.236951118475559,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047430294891133846,
+      "loss": 5.6892,
+      "mean_token_accuracy": 0.1501491665840149,
+      "num_tokens": 4921024.0,
+      "step": 2700
+    },
+    {
+      "entropy": 5.749764776229858,
+      "epoch": 2.24109362054681,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004741544468373179,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15474629402160645,
+      "num_tokens": 4930297.0,
+      "step": 2705
+    },
+    {
+      "entropy": 5.687776947021485,
+      "epoch": 2.2452361226180613,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00047400554304701474,
+      "loss": 5.4692,
+      "mean_token_accuracy": 0.16049361675977708,
+      "num_tokens": 4938971.0,
+      "step": 2710
+    },
+    {
+      "entropy": 5.571053695678711,
+      "epoch": 2.2493786246893124,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047385623784078427,
+      "loss": 5.4899,
+      "mean_token_accuracy": 0.15803302526474,
+      "num_tokens": 4948531.0,
+      "step": 2715
+    },
+    {
+      "entropy": 5.787879133224488,
+      "epoch": 2.2535211267605635,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004737065315197913,
+      "loss": 5.5664,
+      "mean_token_accuracy": 0.1587745025753975,
+      "num_tokens": 4957430.0,
+      "step": 2720
+    },
+    {
+      "entropy": 5.720958280563354,
+      "epoch": 2.2576636288318146,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047355642438600987,
+      "loss": 5.5478,
+      "mean_token_accuracy": 0.16044806241989135,
+      "num_tokens": 4966681.0,
+      "step": 2725
+    },
+    {
+      "entropy": 5.638753175735474,
+      "epoch": 2.2618061309030653,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004734059167422225,
+      "loss": 5.4123,
+      "mean_token_accuracy": 0.1639780133962631,
+      "num_tokens": 4975327.0,
+      "step": 2730
+    },
+    {
+      "entropy": 5.634887552261352,
+      "epoch": 2.2659486329743164,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047325500889201956,
+      "loss": 5.4725,
+      "mean_token_accuracy": 0.16207436099648476,
+      "num_tokens": 4983741.0,
+      "step": 2735
+    },
+    {
+      "entropy": 5.673438644409179,
+      "epoch": 2.2700911350455675,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004731037011397986,
+      "loss": 5.5662,
+      "mean_token_accuracy": 0.15884149968624114,
+      "num_tokens": 4993171.0,
+      "step": 2740
+    },
+    {
+      "entropy": 5.752307653427124,
+      "epoch": 2.2742336371168186,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047295199379076403,
+      "loss": 5.6,
+      "mean_token_accuracy": 0.15322241187095642,
+      "num_tokens": 5002810.0,
+      "step": 2745
+    },
+    {
+      "entropy": 5.7073346138000485,
+      "epoch": 2.2783761391880697,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000472799887150926,
+      "loss": 5.4893,
+      "mean_token_accuracy": 0.15741414427757264,
+      "num_tokens": 5011875.0,
+      "step": 2750
+    },
+    {
+      "entropy": 5.679959297180176,
+      "epoch": 2.282518641259321,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004726473815271003,
+      "loss": 5.5349,
+      "mean_token_accuracy": 0.15855301022529603,
+      "num_tokens": 5020780.0,
+      "step": 2755
+    },
+    {
+      "entropy": 5.669374132156372,
+      "epoch": 2.286661143330572,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047249447722690747,
+      "loss": 5.4331,
+      "mean_token_accuracy": 0.16046710908412934,
+      "num_tokens": 5029896.0,
+      "step": 2760
+    },
+    {
+      "entropy": 5.652454280853272,
+      "epoch": 2.2908036454018226,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047234117455877215,
+      "loss": 5.4932,
+      "mean_token_accuracy": 0.1545606277883053,
+      "num_tokens": 5038956.0,
+      "step": 2765
+    },
+    {
+      "entropy": 5.639697694778443,
+      "epoch": 2.2949461474730737,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004721874738319225,
+      "loss": 5.4594,
+      "mean_token_accuracy": 0.17258906960487366,
+      "num_tokens": 5047005.0,
+      "step": 2770
+    },
+    {
+      "entropy": 5.655842065811157,
+      "epoch": 2.299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004720333753563898,
+      "loss": 5.5008,
+      "mean_token_accuracy": 0.15116662830114364,
+      "num_tokens": 5056475.0,
+      "step": 2775
+    },
+    {
+      "entropy": 5.704644584655762,
+      "epoch": 2.303231151615576,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00047187887944300747,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16439782381057738,
+      "num_tokens": 5064978.0,
+      "step": 2780
+    },
+    {
+      "entropy": 5.726413679122925,
+      "epoch": 2.307373653686827,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004717239864034107,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.15506226867437362,
+      "num_tokens": 5074235.0,
+      "step": 2785
+    },
+    {
+      "entropy": 5.662968683242798,
+      "epoch": 2.3115161557580777,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047156869655003554,
+      "loss": 5.4481,
+      "mean_token_accuracy": 0.16141191571950914,
+      "num_tokens": 5082386.0,
+      "step": 2790
+    },
+    {
+      "entropy": 5.631324100494385,
+      "epoch": 2.315658657829329,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047141301019611875,
+      "loss": 5.4164,
+      "mean_token_accuracy": 0.16636510640382768,
+      "num_tokens": 5090634.0,
+      "step": 2795
+    },
+    {
+      "entropy": 5.818879795074463,
+      "epoch": 2.31980115990058,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004712569276556967,
+      "loss": 5.5906,
+      "mean_token_accuracy": 0.14937217235565187,
+      "num_tokens": 5099003.0,
+      "step": 2800
+    },
+    {
+      "entropy": 5.617757177352905,
+      "epoch": 2.323943661971831,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00047110044924360484,
+      "loss": 5.6681,
+      "mean_token_accuracy": 0.1565680392086506,
+      "num_tokens": 5108631.0,
+      "step": 2805
+    },
+    {
+      "entropy": 5.732515859603882,
+      "epoch": 2.328086164043082,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00047094357527547725,
+      "loss": 5.4545,
+      "mean_token_accuracy": 0.15828853249549865,
+      "num_tokens": 5117309.0,
+      "step": 2810
+    },
+    {
+      "entropy": 5.686485624313354,
+      "epoch": 2.332228666114333,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004707863060677459,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.1627561032772064,
+      "num_tokens": 5126305.0,
+      "step": 2815
+    },
+    {
+      "entropy": 5.821760654449463,
+      "epoch": 2.3363711681855843,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00047062864193764,
+      "loss": 5.6022,
+      "mean_token_accuracy": 0.15580221712589265,
+      "num_tokens": 5135338.0,
+      "step": 2820
+    },
+    {
+      "entropy": 5.676449155807495,
+      "epoch": 2.340513670256835,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047047058320318525,
+      "loss": 5.5298,
+      "mean_token_accuracy": 0.16162888556718827,
+      "num_tokens": 5144518.0,
+      "step": 2825
+    },
+    {
+      "entropy": 5.702890157699585,
+      "epoch": 2.344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004703121301832034,
+      "loss": 5.6262,
+      "mean_token_accuracy": 0.15101130157709122,
+      "num_tokens": 5154102.0,
+      "step": 2830
+    },
+    {
+      "entropy": 5.7891247272491455,
+      "epoch": 2.348798674399337,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047015328319731153,
+      "loss": 5.5642,
+      "mean_token_accuracy": 0.15612353384494781,
+      "num_tokens": 5163719.0,
+      "step": 2835
+    },
+    {
+      "entropy": 5.677855682373047,
+      "epoch": 2.3529411764705883,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004699940425659215,
+      "loss": 5.5247,
+      "mean_token_accuracy": 0.15519936084747316,
+      "num_tokens": 5173192.0,
+      "step": 2840
+    },
+    {
+      "entropy": 5.622324132919312,
+      "epoch": 2.3570836785418394,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00046983440861023877,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.1663823500275612,
+      "num_tokens": 5182438.0,
+      "step": 2845
+    },
+    {
+      "entropy": 5.699106454849243,
+      "epoch": 2.36122618061309,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046967438165226275,
+      "loss": 5.6015,
+      "mean_token_accuracy": 0.15352728664875032,
+      "num_tokens": 5191595.0,
+      "step": 2850
+    },
+    {
+      "entropy": 5.659265756607056,
+      "epoch": 2.365368682684341,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004695139620147851,
+      "loss": 5.4682,
+      "mean_token_accuracy": 0.1643056571483612,
+      "num_tokens": 5200174.0,
+      "step": 2855
+    },
+    {
+      "entropy": 5.713242053985596,
+      "epoch": 2.3695111847555923,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046935315002138994,
+      "loss": 5.5804,
+      "mean_token_accuracy": 0.15417435318231582,
+      "num_tokens": 5210454.0,
+      "step": 2860
+    },
+    {
+      "entropy": 5.727554702758789,
+      "epoch": 2.3736536868268434,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004691919459964525,
+      "loss": 5.5019,
+      "mean_token_accuracy": 0.16056040227413176,
+      "num_tokens": 5219243.0,
+      "step": 2865
+    },
+    {
+      "entropy": 5.5862212657928465,
+      "epoch": 2.3777961888980945,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046903035026513894,
+      "loss": 5.4319,
+      "mean_token_accuracy": 0.1613735228776932,
+      "num_tokens": 5228656.0,
+      "step": 2870
+    },
+    {
+      "entropy": 5.587289905548095,
+      "epoch": 2.3819386909693456,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004688683631534056,
+      "loss": 5.4859,
+      "mean_token_accuracy": 0.156366066634655,
+      "num_tokens": 5237807.0,
+      "step": 2875
+    },
+    {
+      "entropy": 5.775411653518677,
+      "epoch": 2.3860811930405967,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004687059849879981,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.1609719067811966,
+      "num_tokens": 5247432.0,
+      "step": 2880
+    },
+    {
+      "entropy": 5.597807741165161,
+      "epoch": 2.3902236951118474,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00046854321609645093,
+      "loss": 5.4145,
+      "mean_token_accuracy": 0.16111126840114592,
+      "num_tokens": 5256680.0,
+      "step": 2885
+    },
+    {
+      "entropy": 5.6380726337432865,
+      "epoch": 2.3943661971830985,
+      "grad_norm": 2.15625,
+      "learning_rate": 0.00046838005680708677,
+      "loss": 5.5296,
+      "mean_token_accuracy": 0.14821895360946655,
+      "num_tokens": 5266793.0,
+      "step": 2890
+    },
+    {
+      "entropy": 5.710390281677246,
+      "epoch": 2.3985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046821650744901573,
+      "loss": 5.4452,
+      "mean_token_accuracy": 0.15857197493314742,
+      "num_tokens": 5275028.0,
+      "step": 2895
+    },
+    {
+      "entropy": 5.598506593704224,
+      "epoch": 2.4026512013256007,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004680525683521347,
+      "loss": 5.5226,
+      "mean_token_accuracy": 0.1566852644085884,
+      "num_tokens": 5284162.0,
+      "step": 2900
+    },
+    {
+      "entropy": 5.757242631912232,
+      "epoch": 2.406793703396852,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004678882398471269,
+      "loss": 5.5911,
+      "mean_token_accuracy": 0.15474308133125306,
+      "num_tokens": 5293263.0,
+      "step": 2905
+    },
+    {
+      "entropy": 5.654598569869995,
+      "epoch": 2.4109362054681025,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046772352226546066,
+      "loss": 5.477,
+      "mean_token_accuracy": 0.1666618600487709,
+      "num_tokens": 5301373.0,
+      "step": 2910
+    },
+    {
+      "entropy": 5.643638467788696,
+      "epoch": 2.4150787075393536,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004675584159393895,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.15203802064061164,
+      "num_tokens": 5311009.0,
+      "step": 2915
+    },
+    {
+      "entropy": 5.699149656295776,
+      "epoch": 2.4192212096106047,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046739292120195083,
+      "loss": 5.5245,
+      "mean_token_accuracy": 0.16085631400346756,
+      "num_tokens": 5320341.0,
+      "step": 2920
+    },
+    {
+      "entropy": 5.642888498306275,
+      "epoch": 2.423363711681856,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004672270383869657,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1610630214214325,
+      "num_tokens": 5329250.0,
+      "step": 2925
+    },
+    {
+      "entropy": 5.62935357093811,
+      "epoch": 2.427506213753107,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004670607678290379,
+      "loss": 5.4471,
+      "mean_token_accuracy": 0.16571807861328125,
+      "num_tokens": 5336515.0,
+      "step": 2930
+    },
+    {
+      "entropy": 5.655415058135986,
+      "epoch": 2.431648715824358,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004668941098635532,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.1595415398478508,
+      "num_tokens": 5346043.0,
+      "step": 2935
+    },
+    {
+      "entropy": 5.642036104202271,
+      "epoch": 2.435791217895609,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00046672706482667897,
+      "loss": 5.4925,
+      "mean_token_accuracy": 0.15832271426916122,
+      "num_tokens": 5355124.0,
+      "step": 2940
+    },
+    {
+      "entropy": 5.647988367080688,
+      "epoch": 2.43993371996686,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004665596330553633,
+      "loss": 5.5051,
+      "mean_token_accuracy": 0.1597411409020424,
+      "num_tokens": 5364556.0,
+      "step": 2945
+    },
+    {
+      "entropy": 5.67459397315979,
+      "epoch": 2.444076222038111,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046639181488733445,
+      "loss": 5.5316,
+      "mean_token_accuracy": 0.15941161364316941,
+      "num_tokens": 5373778.0,
+      "step": 2950
+    },
+    {
+      "entropy": 5.725692987442017,
+      "epoch": 2.448218724109362,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004662236106610999,
+      "loss": 5.5123,
+      "mean_token_accuracy": 0.15816445648670197,
+      "num_tokens": 5382633.0,
+      "step": 2955
+    },
+    {
+      "entropy": 5.5606146335601805,
+      "epoch": 2.452361226180613,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00046605502071594604,
+      "loss": 5.4163,
+      "mean_token_accuracy": 0.16387673169374467,
+      "num_tokens": 5391442.0,
+      "step": 2960
+    },
+    {
+      "entropy": 5.569208765029908,
+      "epoch": 2.4565037282518642,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004658860453919371,
+      "loss": 5.4388,
+      "mean_token_accuracy": 0.1621423229575157,
+      "num_tokens": 5400504.0,
+      "step": 2965
+    },
+    {
+      "entropy": 5.587312078475952,
+      "epoch": 2.460646230323115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004657166850299149,
+      "loss": 5.4448,
+      "mean_token_accuracy": 0.16361159086227417,
+      "num_tokens": 5408939.0,
+      "step": 2970
+    },
+    {
+      "entropy": 5.629118537902832,
+      "epoch": 2.464788732394366,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004655469399714978,
+      "loss": 5.4722,
+      "mean_token_accuracy": 0.1575179159641266,
+      "num_tokens": 5418934.0,
+      "step": 2975
+    },
+    {
+      "entropy": 5.572103595733642,
+      "epoch": 2.468931234465617,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004653768105590799,
+      "loss": 5.4955,
+      "mean_token_accuracy": 0.16008511185646057,
+      "num_tokens": 5427894.0,
+      "step": 2980
+    },
+    {
+      "entropy": 5.683330011367798,
+      "epoch": 2.4730737365368682,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046520629713583115,
+      "loss": 5.5003,
+      "mean_token_accuracy": 0.1613202139735222,
+      "num_tokens": 5436830.0,
+      "step": 2985
+    },
+    {
+      "entropy": 5.597742080688477,
+      "epoch": 2.4772162386081193,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046503540004569555,
+      "loss": 5.4814,
+      "mean_token_accuracy": 0.16423845291137695,
+      "num_tokens": 5445504.0,
+      "step": 2990
+    },
+    {
+      "entropy": 5.679887342453003,
+      "epoch": 2.4813587406793705,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046486411963339125,
+      "loss": 5.5405,
+      "mean_token_accuracy": 0.15501321628689765,
+      "num_tokens": 5455378.0,
+      "step": 2995
+    },
+    {
+      "entropy": 5.712473011016845,
+      "epoch": 2.4855012427506216,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046469245624440955,
+      "loss": 5.6107,
+      "mean_token_accuracy": 0.1589423656463623,
+      "num_tokens": 5465334.0,
+      "step": 3000
+    },
+    {
+      "epoch": 2.4855012427506216,
+      "eval_entropy": 5.590163738234465,
+      "eval_loss": 5.965892314910889,
+      "eval_mean_token_accuracy": 0.14734836894947329,
+      "eval_num_tokens": 5465334.0,
+      "eval_runtime": 2.7526,
+      "eval_samples_per_second": 1361.234,
+      "eval_steps_per_second": 170.381,
+      "step": 3000
+    },
+    {
+      "entropy": 5.751126146316528,
+      "epoch": 2.4896437448218722,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046452041022501423,
+      "loss": 5.5858,
+      "mean_token_accuracy": 0.15555662512779236,
+      "num_tokens": 5475701.0,
+      "step": 3005
+    },
+    {
+      "entropy": 5.699931526184082,
+      "epoch": 2.4937862468931233,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004643479819222411,
+      "loss": 5.4828,
+      "mean_token_accuracy": 0.16229774355888366,
+      "num_tokens": 5485244.0,
+      "step": 3010
+    },
+    {
+      "entropy": 5.596950387954712,
+      "epoch": 2.4979287489643744,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046417517168389664,
+      "loss": 5.4434,
+      "mean_token_accuracy": 0.1682340309023857,
+      "num_tokens": 5493587.0,
+      "step": 3015
+    },
+    {
+      "entropy": 5.6203169345855715,
+      "epoch": 2.5020712510356256,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004640019798585581,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.15738681554794312,
+      "num_tokens": 5503117.0,
+      "step": 3020
+    },
+    {
+      "entropy": 5.762682390213013,
+      "epoch": 2.5062137531068767,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046382840679557233,
+      "loss": 5.5352,
+      "mean_token_accuracy": 0.16024575680494307,
+      "num_tokens": 5512742.0,
+      "step": 3025
+    },
+    {
+      "entropy": 5.647499704360962,
+      "epoch": 2.5103562551781273,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00046365445284505516,
+      "loss": 5.4968,
+      "mean_token_accuracy": 0.16166605204343795,
+      "num_tokens": 5521862.0,
+      "step": 3030
+    },
+    {
+      "entropy": 5.597900772094727,
+      "epoch": 2.5144987572493784,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.0004634801183578907,
+      "loss": 5.488,
+      "mean_token_accuracy": 0.1608501434326172,
+      "num_tokens": 5531244.0,
+      "step": 3035
+    },
+    {
+      "entropy": 5.655751419067383,
+      "epoch": 2.5186412593206295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046330540368573063,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15176820158958435,
+      "num_tokens": 5540786.0,
+      "step": 3040
+    },
+    {
+      "entropy": 5.7291028022766115,
+      "epoch": 2.5227837613918807,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046313030918099365,
+      "loss": 5.5224,
+      "mean_token_accuracy": 0.1602902241051197,
+      "num_tokens": 5549961.0,
+      "step": 3045
+    },
+    {
+      "entropy": 5.620108366012573,
+      "epoch": 2.5269262634631318,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00046295483519686437,
+      "loss": 5.4591,
+      "mean_token_accuracy": 0.16417455673217773,
+      "num_tokens": 5558941.0,
+      "step": 3050
+    },
+    {
+      "entropy": 5.644694232940674,
+      "epoch": 2.531068765534383,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046277898208729306,
+      "loss": 5.4673,
+      "mean_token_accuracy": 0.16716189235448836,
+      "num_tokens": 5567630.0,
+      "step": 3055
+    },
+    {
+      "entropy": 5.586954879760742,
+      "epoch": 2.535211267605634,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004626027502069947,
+      "loss": 5.4301,
+      "mean_token_accuracy": 0.16521373838186265,
+      "num_tokens": 5576430.0,
+      "step": 3060
+    },
+    {
+      "entropy": 5.650178289413452,
+      "epoch": 2.539353769676885,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046242613991144814,
+      "loss": 5.5444,
+      "mean_token_accuracy": 0.1609214127063751,
+      "num_tokens": 5584785.0,
+      "step": 3065
+    },
+    {
+      "entropy": 5.585511493682861,
+      "epoch": 2.5434962717481358,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046224915155689586,
+      "loss": 5.478,
+      "mean_token_accuracy": 0.16044741719961167,
+      "num_tokens": 5594583.0,
+      "step": 3070
+    },
+    {
+      "entropy": 5.638197040557861,
+      "epoch": 2.547638773819387,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046207178550034244,
+      "loss": 5.4306,
+      "mean_token_accuracy": 0.1608849883079529,
+      "num_tokens": 5603498.0,
+      "step": 3075
+    },
+    {
+      "entropy": 5.7161966323852536,
+      "epoch": 2.551781275890638,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004618940420995547,
+      "loss": 5.5685,
+      "mean_token_accuracy": 0.15440558269619942,
+      "num_tokens": 5613101.0,
+      "step": 3080
+    },
+    {
+      "entropy": 5.665849494934082,
+      "epoch": 2.555923777961889,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004617159217130606,
+      "loss": 5.5409,
+      "mean_token_accuracy": 0.1569191187620163,
+      "num_tokens": 5621821.0,
+      "step": 3085
+    },
+    {
+      "entropy": 5.711861181259155,
+      "epoch": 2.5600662800331397,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004615374247001483,
+      "loss": 5.5738,
+      "mean_token_accuracy": 0.15701586306095122,
+      "num_tokens": 5631006.0,
+      "step": 3090
+    },
+    {
+      "entropy": 5.674423551559448,
+      "epoch": 2.564208782104391,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004613585514208659,
+      "loss": 5.5295,
+      "mean_token_accuracy": 0.15232180580496787,
+      "num_tokens": 5640159.0,
+      "step": 3095
+    },
+    {
+      "entropy": 5.592060613632202,
+      "epoch": 2.568351284175642,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046117930223602016,
+      "loss": 5.4003,
+      "mean_token_accuracy": 0.1694741129875183,
+      "num_tokens": 5648369.0,
+      "step": 3100
+    },
+    {
+      "entropy": 5.5982965469360355,
+      "epoch": 2.572493786246893,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004609996775071765,
+      "loss": 5.459,
+      "mean_token_accuracy": 0.1591326355934143,
+      "num_tokens": 5657669.0,
+      "step": 3105
+    },
+    {
+      "entropy": 5.56780686378479,
+      "epoch": 2.576636288318144,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004608196775966575,
+      "loss": 5.5319,
+      "mean_token_accuracy": 0.1610974356532097,
+      "num_tokens": 5666601.0,
+      "step": 3110
+    },
+    {
+      "entropy": 5.639773225784301,
+      "epoch": 2.5807787903893953,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046063930286754267,
+      "loss": 5.4465,
+      "mean_token_accuracy": 0.16618527621030807,
+      "num_tokens": 5675243.0,
+      "step": 3115
+    },
+    {
+      "entropy": 5.56855001449585,
+      "epoch": 2.5849212924606464,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00046045855368366756,
+      "loss": 5.466,
+      "mean_token_accuracy": 0.1630399063229561,
+      "num_tokens": 5683646.0,
+      "step": 3120
+    },
+    {
+      "entropy": 5.682586193084717,
+      "epoch": 2.5890637945318975,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.000460277430409623,
+      "loss": 5.5129,
+      "mean_token_accuracy": 0.17162407487630843,
+      "num_tokens": 5693069.0,
+      "step": 3125
+    },
+    {
+      "entropy": 5.587219524383545,
+      "epoch": 2.593206296603148,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046009593341075444,
+      "loss": 5.3754,
+      "mean_token_accuracy": 0.16499391198158264,
+      "num_tokens": 5701527.0,
+      "step": 3130
+    },
+    {
+      "entropy": 5.561956834793091,
+      "epoch": 2.5973487986743993,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004599140630531612,
+      "loss": 5.5403,
+      "mean_token_accuracy": 0.15682477951049806,
+      "num_tokens": 5710379.0,
+      "step": 3135
+    },
+    {
+      "entropy": 5.69692587852478,
+      "epoch": 2.6014913007456504,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004597318197036956,
+      "loss": 5.4524,
+      "mean_token_accuracy": 0.1643553927540779,
+      "num_tokens": 5719217.0,
+      "step": 3140
+    },
+    {
+      "entropy": 5.629226970672607,
+      "epoch": 2.6056338028169015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004595492037299624,
+      "loss": 5.5535,
+      "mean_token_accuracy": 0.16214104294776915,
+      "num_tokens": 5728331.0,
+      "step": 3145
+    },
+    {
+      "entropy": 5.608061027526856,
+      "epoch": 2.6097763048881526,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045936621550031806,
+      "loss": 5.5107,
+      "mean_token_accuracy": 0.16073764860630035,
+      "num_tokens": 5737696.0,
+      "step": 3150
+    },
+    {
+      "entropy": 5.731885099411011,
+      "epoch": 2.6139188069594033,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045918285538386973,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.16164542436599733,
+      "num_tokens": 5746191.0,
+      "step": 3155
+    },
+    {
+      "entropy": 5.703127813339234,
+      "epoch": 2.6180613090306544,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00045899912375047485,
+      "loss": 5.5619,
+      "mean_token_accuracy": 0.1629435494542122,
+      "num_tokens": 5754824.0,
+      "step": 3160
+    },
+    {
+      "entropy": 5.638229656219482,
+      "epoch": 2.6222038111019055,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045881502097074023,
+      "loss": 5.537,
+      "mean_token_accuracy": 0.1518124133348465,
+      "num_tokens": 5764863.0,
+      "step": 3165
+    },
+    {
+      "entropy": 5.614318180084228,
+      "epoch": 2.6263463131731566,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004586305474160212,
+      "loss": 5.5459,
+      "mean_token_accuracy": 0.15642993301153182,
+      "num_tokens": 5774273.0,
+      "step": 3170
+    },
+    {
+      "entropy": 5.666326427459717,
+      "epoch": 2.6304888152444077,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045844570345842116,
+      "loss": 5.5044,
+      "mean_token_accuracy": 0.16042826995253562,
+      "num_tokens": 5784085.0,
+      "step": 3175
+    },
+    {
+      "entropy": 5.659371709823608,
+      "epoch": 2.634631317315659,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004582604894707906,
+      "loss": 5.5336,
+      "mean_token_accuracy": 0.16884370446205138,
+      "num_tokens": 5793921.0,
+      "step": 3180
+    },
+    {
+      "entropy": 5.664378356933594,
+      "epoch": 2.63877381938691,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00045807490582672634,
+      "loss": 5.4972,
+      "mean_token_accuracy": 0.15294444859027861,
+      "num_tokens": 5803902.0,
+      "step": 3185
+    },
+    {
+      "entropy": 5.542481708526611,
+      "epoch": 2.6429163214581606,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00045788895290057083,
+      "loss": 5.4129,
+      "mean_token_accuracy": 0.16788192689418793,
+      "num_tokens": 5812089.0,
+      "step": 3190
+    },
+    {
+      "entropy": 5.6802209377288815,
+      "epoch": 2.6470588235294117,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00045770263106741137,
+      "loss": 5.5784,
+      "mean_token_accuracy": 0.1578851893544197,
+      "num_tokens": 5821072.0,
+      "step": 3195
+    },
+    {
+      "entropy": 5.628516340255738,
+      "epoch": 2.651201325600663,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004575159407030797,
+      "loss": 5.4029,
+      "mean_token_accuracy": 0.16388181746006011,
+      "num_tokens": 5829725.0,
+      "step": 3200
+    },
+    {
+      "entropy": 5.500157403945923,
+      "epoch": 2.655343827671914,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004573288821841505,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16496249735355378,
+      "num_tokens": 5838153.0,
+      "step": 3205
+    },
+    {
+      "entropy": 5.616616106033325,
+      "epoch": 2.659486329743165,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004571414558879413,
+      "loss": 5.4409,
+      "mean_token_accuracy": 0.15448423773050307,
+      "num_tokens": 5847270.0,
+      "step": 3210
+    },
+    {
+      "entropy": 5.6490891456604,
+      "epoch": 2.6636288318144157,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004569536621925114,
+      "loss": 5.5472,
+      "mean_token_accuracy": 0.15474478006362916,
+      "num_tokens": 5855954.0,
+      "step": 3215
+    },
+    {
+      "entropy": 5.634416961669922,
+      "epoch": 2.667771333885667,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004567655014766612,
+      "loss": 5.4529,
+      "mean_token_accuracy": 0.16163208782672883,
+      "num_tokens": 5864435.0,
+      "step": 3220
+    },
+    {
+      "entropy": 5.624909925460815,
+      "epoch": 2.671913835956918,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004565769741199314,
+      "loss": 5.5135,
+      "mean_token_accuracy": 0.1572384186089039,
+      "num_tokens": 5873964.0,
+      "step": 3225
+    },
+    {
+      "entropy": 5.727962255477905,
+      "epoch": 2.676056338028169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045638808050260237,
+      "loss": 5.4648,
+      "mean_token_accuracy": 0.16628578454256057,
+      "num_tokens": 5882738.0,
+      "step": 3230
+    },
+    {
+      "entropy": 5.587652635574341,
+      "epoch": 2.68019884009942,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00045619882100569317,
+      "loss": 5.5925,
+      "mean_token_accuracy": 0.15854242593050002,
+      "num_tokens": 5891749.0,
+      "step": 3235
+    },
+    {
+      "entropy": 5.627515649795532,
+      "epoch": 2.684341342170671,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004560091960109608,
+      "loss": 5.5372,
+      "mean_token_accuracy": 0.15811603218317033,
+      "num_tokens": 5900551.0,
+      "step": 3240
+    },
+    {
+      "entropy": 5.661735343933105,
+      "epoch": 2.6884838442419223,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004558192059008996,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.1517203629016876,
+      "num_tokens": 5909254.0,
+      "step": 3245
+    },
+    {
+      "entropy": 5.599635648727417,
+      "epoch": 2.692626346313173,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004556288510587406,
+      "loss": 5.4987,
+      "mean_token_accuracy": 0.15817683488130568,
+      "num_tokens": 5918357.0,
+      "step": 3250
+    },
+    {
+      "entropy": 5.662895679473877,
+      "epoch": 2.696768848384424,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00045543813186845004,
+      "loss": 5.5021,
+      "mean_token_accuracy": 0.15579704195261002,
+      "num_tokens": 5927742.0,
+      "step": 3255
+    },
+    {
+      "entropy": 5.627440690994263,
+      "epoch": 2.700911350455675,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004552470487147294,
+      "loss": 5.5823,
+      "mean_token_accuracy": 0.1556493915617466,
+      "num_tokens": 5937025.0,
+      "step": 3260
+    },
+    {
+      "entropy": 5.70678014755249,
+      "epoch": 2.7050538525269263,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045505560198301443,
+      "loss": 5.5615,
+      "mean_token_accuracy": 0.15135139375925064,
+      "num_tokens": 5946176.0,
+      "step": 3265
+    },
+    {
+      "entropy": 5.659924745559692,
+      "epoch": 2.7091963545981774,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045486379205947396,
+      "loss": 5.5233,
+      "mean_token_accuracy": 0.1584411159157753,
+      "num_tokens": 5955550.0,
+      "step": 3270
+    },
+    {
+      "entropy": 5.594695281982422,
+      "epoch": 2.713338856669428,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004546716193310098,
+      "loss": 5.4541,
+      "mean_token_accuracy": 0.1651945412158966,
+      "num_tokens": 5964467.0,
+      "step": 3275
+    },
+    {
+      "entropy": 5.605531787872314,
+      "epoch": 2.717481358740679,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000454479084185255,
+      "loss": 5.4855,
+      "mean_token_accuracy": 0.1514287754893303,
+      "num_tokens": 5973906.0,
+      "step": 3280
+    },
+    {
+      "entropy": 5.696796035766601,
+      "epoch": 2.7216238608119303,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004542861870105743,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.15694239139556884,
+      "num_tokens": 5983701.0,
+      "step": 3285
+    },
+    {
+      "entropy": 5.623150444030761,
+      "epoch": 2.7257663628831814,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045409292819606224,
+      "loss": 5.4971,
+      "mean_token_accuracy": 0.16068210303783417,
+      "num_tokens": 5993367.0,
+      "step": 3290
+    },
+    {
+      "entropy": 5.646857404708863,
+      "epoch": 2.7299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045389930813154297,
+      "loss": 5.4519,
+      "mean_token_accuracy": 0.16334805637598038,
+      "num_tokens": 6003752.0,
+      "step": 3295
+    },
+    {
+      "entropy": 5.675233459472656,
+      "epoch": 2.7340513670256836,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004537053272075693,
+      "loss": 5.5263,
+      "mean_token_accuracy": 0.1621565416455269,
+      "num_tokens": 6012486.0,
+      "step": 3300
+    },
+    {
+      "entropy": 5.5136041164398195,
+      "epoch": 2.7381938690969347,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045351098581542204,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.163838130235672,
+      "num_tokens": 6020742.0,
+      "step": 3305
+    },
+    {
+      "entropy": 5.646917295455933,
+      "epoch": 2.742336371168186,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004533162843471089,
+      "loss": 5.5009,
+      "mean_token_accuracy": 0.15474170595407485,
+      "num_tokens": 6030248.0,
+      "step": 3310
+    },
+    {
+      "entropy": 5.632185411453247,
+      "epoch": 2.7464788732394365,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004531212231953641,
+      "loss": 5.5436,
+      "mean_token_accuracy": 0.15157791674137117,
+      "num_tokens": 6039293.0,
+      "step": 3315
+    },
+    {
+      "entropy": 5.587828540802002,
+      "epoch": 2.7506213753106876,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004529258027536473,
+      "loss": 5.4134,
+      "mean_token_accuracy": 0.16378402560949326,
+      "num_tokens": 6048081.0,
+      "step": 3320
+    },
+    {
+      "entropy": 5.673684549331665,
+      "epoch": 2.7547638773819387,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004527300234161428,
+      "loss": 5.5753,
+      "mean_token_accuracy": 0.15969255268573762,
+      "num_tokens": 6057549.0,
+      "step": 3325
+    },
+    {
+      "entropy": 5.646554040908813,
+      "epoch": 2.75890637945319,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004525338855777591,
+      "loss": 5.5589,
+      "mean_token_accuracy": 0.15469738617539405,
+      "num_tokens": 6067372.0,
+      "step": 3330
+    },
+    {
+      "entropy": 5.595069122314453,
+      "epoch": 2.7630488815244405,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045233738963412746,
+      "loss": 5.4181,
+      "mean_token_accuracy": 0.1717814713716507,
+      "num_tokens": 6075532.0,
+      "step": 3335
+    },
+    {
+      "entropy": 5.5924467086792,
+      "epoch": 2.7671913835956916,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045214053598160173,
+      "loss": 5.4439,
+      "mean_token_accuracy": 0.16404369622468948,
+      "num_tokens": 6084389.0,
+      "step": 3340
+    },
+    {
+      "entropy": 5.598109579086303,
+      "epoch": 2.7713338856669427,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045194332501725725,
+      "loss": 5.4706,
+      "mean_token_accuracy": 0.16428767740726472,
+      "num_tokens": 6093536.0,
+      "step": 3345
+    },
+    {
+      "entropy": 5.637304496765137,
+      "epoch": 2.775476387738194,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00045174575713889014,
+      "loss": 5.5167,
+      "mean_token_accuracy": 0.16573925465345382,
+      "num_tokens": 6102677.0,
+      "step": 3350
+    },
+    {
+      "entropy": 5.677533674240112,
+      "epoch": 2.779618889809445,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004515478327450164,
+      "loss": 5.5926,
+      "mean_token_accuracy": 0.156404609978199,
+      "num_tokens": 6112430.0,
+      "step": 3355
+    },
+    {
+      "entropy": 5.643227863311767,
+      "epoch": 2.783761391880696,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00045134955223487093,
+      "loss": 5.4889,
+      "mean_token_accuracy": 0.16630716919898986,
+      "num_tokens": 6121408.0,
+      "step": 3360
+    },
+    {
+      "entropy": 5.57972674369812,
+      "epoch": 2.787903893951947,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00045115091600840757,
+      "loss": 5.5188,
+      "mean_token_accuracy": 0.15800442099571227,
+      "num_tokens": 6131339.0,
+      "step": 3365
+    },
+    {
+      "entropy": 5.624274778366089,
+      "epoch": 2.7920463960231983,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00045095192446629697,
+      "loss": 5.4816,
+      "mean_token_accuracy": 0.16174803227186202,
+      "num_tokens": 6140590.0,
+      "step": 3370
+    },
+    {
+      "entropy": 5.704814815521241,
+      "epoch": 2.796188898094449,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000450752578009927,
+      "loss": 5.5621,
+      "mean_token_accuracy": 0.1653067871928215,
+      "num_tokens": 6149958.0,
+      "step": 3375
+    },
+    {
+      "entropy": 5.58657054901123,
+      "epoch": 2.8003314001657,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045055287704140115,
+      "loss": 5.4346,
+      "mean_token_accuracy": 0.15949429720640182,
+      "num_tokens": 6159411.0,
+      "step": 3380
+    },
+    {
+      "entropy": 5.595387983322143,
+      "epoch": 2.804473902236951,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004503528219635381,
+      "loss": 5.5138,
+      "mean_token_accuracy": 0.1545591250061989,
+      "num_tokens": 6169264.0,
+      "step": 3385
+    },
+    {
+      "entropy": 5.617677021026611,
+      "epoch": 2.8086164043082023,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004501524131798709,
+      "loss": 5.4826,
+      "mean_token_accuracy": 0.16332829892635345,
+      "num_tokens": 6178374.0,
+      "step": 3390
+    },
+    {
+      "entropy": 5.7183191776275635,
+      "epoch": 2.812758906379453,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000449951651094646,
+      "loss": 5.4697,
+      "mean_token_accuracy": 0.15537519603967667,
+      "num_tokens": 6186918.0,
+      "step": 3395
+    },
+    {
+      "entropy": 5.566522169113159,
+      "epoch": 2.816901408450704,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044975053611282217,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.1613329365849495,
+      "num_tokens": 6196400.0,
+      "step": 3400
+    },
+    {
+      "entropy": 5.514105558395386,
+      "epoch": 2.821043910521955,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004495490686400706,
+      "loss": 5.3941,
+      "mean_token_accuracy": 0.1649619847536087,
+      "num_tokens": 6204849.0,
+      "step": 3405
+    },
+    {
+      "entropy": 5.615210485458374,
+      "epoch": 2.8251864125932062,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00044934724908277313,
+      "loss": 5.4834,
+      "mean_token_accuracy": 0.16362717300653457,
+      "num_tokens": 6214121.0,
+      "step": 3410
+    },
+    {
+      "entropy": 5.654720067977905,
+      "epoch": 2.8293289146644574,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044914507784802184,
+      "loss": 5.4835,
+      "mean_token_accuracy": 0.16509974151849746,
+      "num_tokens": 6223163.0,
+      "step": 3415
+    },
+    {
+      "entropy": 5.641624307632446,
+      "epoch": 2.8334714167357085,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004489425553436182,
+      "loss": 5.5084,
+      "mean_token_accuracy": 0.15882937759160995,
+      "num_tokens": 6231581.0,
+      "step": 3420
+    },
+    {
+      "entropy": 5.659383153915405,
+      "epoch": 2.8376139188069596,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00044873968197807213,
+      "loss": 5.5838,
+      "mean_token_accuracy": 0.1599879801273346,
+      "num_tokens": 6240015.0,
+      "step": 3425
+    },
+    {
+      "entropy": 5.666435050964355,
+      "epoch": 2.8417564208782107,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044853645816060156,
+      "loss": 5.5979,
+      "mean_token_accuracy": 0.1532062940299511,
+      "num_tokens": 6249083.0,
+      "step": 3430
+    },
+    {
+      "entropy": 5.6627098560333256,
+      "epoch": 2.8458989229494613,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00044833288430113104,
+      "loss": 5.5496,
+      "mean_token_accuracy": 0.1654196172952652,
+      "num_tokens": 6258798.0,
+      "step": 3435
+    },
+    {
+      "entropy": 5.609176588058472,
+      "epoch": 2.8500414250207124,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00044812896081029136,
+      "loss": 5.4023,
+      "mean_token_accuracy": 0.16617698073387147,
+      "num_tokens": 6267819.0,
+      "step": 3440
+    },
+    {
+      "entropy": 5.626215600967408,
+      "epoch": 2.8541839270919636,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004479246880994183,
+      "loss": 5.4804,
+      "mean_token_accuracy": 0.15876610353589057,
+      "num_tokens": 6276915.0,
+      "step": 3445
+    },
+    {
+      "entropy": 5.627827167510986,
+      "epoch": 2.8583264291632147,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004477200665805525,
+      "loss": 5.5216,
+      "mean_token_accuracy": 0.15861138105392455,
+      "num_tokens": 6285880.0,
+      "step": 3450
+    },
+    {
+      "entropy": 5.6323963642120365,
+      "epoch": 2.8624689312344658,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00044751509666643777,
+      "loss": 5.6351,
+      "mean_token_accuracy": 0.14970673844218255,
+      "num_tokens": 6295408.0,
+      "step": 3455
+    },
+    {
+      "entropy": 5.6166990280151365,
+      "epoch": 2.8666114333057164,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044730977877052084,
+      "loss": 5.3753,
+      "mean_token_accuracy": 0.16562075018882752,
+      "num_tokens": 6304110.0,
+      "step": 3460
+    },
+    {
+      "entropy": 5.669659185409546,
+      "epoch": 2.8707539353769675,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00044710411330695045,
+      "loss": 5.5254,
+      "mean_token_accuracy": 0.15842530727386475,
+      "num_tokens": 6312577.0,
+      "step": 3465
+    },
+    {
+      "entropy": 5.738371801376343,
+      "epoch": 2.8748964374482187,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00044689810069057615,
+      "loss": 5.606,
+      "mean_token_accuracy": 0.15023296922445298,
+      "num_tokens": 6321766.0,
+      "step": 3470
+    },
+    {
+      "entropy": 5.642851161956787,
+      "epoch": 2.8790389395194698,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004466917413369479,
+      "loss": 5.5731,
+      "mean_token_accuracy": 0.151870658993721,
+      "num_tokens": 6330327.0,
+      "step": 3475
+    },
+    {
+      "entropy": 5.577242517471314,
+      "epoch": 2.883181441590721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004464850356623152,
+      "loss": 5.4926,
+      "mean_token_accuracy": 0.16011006087064744,
+      "num_tokens": 6339596.0,
+      "step": 3480
+    },
+    {
+      "entropy": 5.613158226013184,
+      "epoch": 2.887323943661972,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00044627798408362597,
+      "loss": 5.3986,
+      "mean_token_accuracy": 0.1670537531375885,
+      "num_tokens": 6348080.0,
+      "step": 3485
+    },
+    {
+      "entropy": 5.613135099411011,
+      "epoch": 2.891466445733223,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004460705870185258,
+      "loss": 5.5277,
+      "mean_token_accuracy": 0.15435466170310974,
+      "num_tokens": 6357725.0,
+      "step": 3490
+    },
+    {
+      "entropy": 5.627930736541748,
+      "epoch": 2.8956089478044738,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004458628448853572,
+      "loss": 5.4831,
+      "mean_token_accuracy": 0.16073092967271804,
+      "num_tokens": 6366821.0,
+      "step": 3495
+    },
+    {
+      "entropy": 5.729347085952758,
+      "epoch": 2.899751449875725,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004456547581031589,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.15560299083590506,
+      "num_tokens": 6375641.0,
+      "step": 3500
+    },
+    {
+      "epoch": 2.899751449875725,
+      "eval_entropy": 5.414937326394673,
+      "eval_loss": 5.899942874908447,
+      "eval_mean_token_accuracy": 0.15183768343569629,
+      "eval_num_tokens": 6375641.0,
+      "eval_runtime": 2.9583,
+      "eval_samples_per_second": 1266.605,
+      "eval_steps_per_second": 158.537,
+      "step": 3500
+    },
+    {
+      "entropy": 5.548971128463745,
+      "epoch": 2.903893951946976,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004454463270916646,
+      "loss": 5.404,
+      "mean_token_accuracy": 0.1680065542459488,
+      "num_tokens": 6384596.0,
+      "step": 3505
+    },
+    {
+      "entropy": 5.719941425323486,
+      "epoch": 2.908036454018227,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004452375522713023,
+      "loss": 5.7474,
+      "mean_token_accuracy": 0.14030246064066887,
+      "num_tokens": 6395048.0,
+      "step": 3510
+    },
+    {
+      "entropy": 5.643452119827271,
+      "epoch": 2.912178956089478,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004450284340631938,
+      "loss": 5.5762,
+      "mean_token_accuracy": 0.15520212948322296,
+      "num_tokens": 6404828.0,
+      "step": 3515
+    },
+    {
+      "entropy": 5.627139854431152,
+      "epoch": 2.916321458160729,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044481897288915334,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.16042221039533616,
+      "num_tokens": 6414670.0,
+      "step": 3520
+    },
+    {
+      "entropy": 5.474701166152954,
+      "epoch": 2.92046396023198,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044460916917168697,
+      "loss": 5.3896,
+      "mean_token_accuracy": 0.16453512459993364,
+      "num_tokens": 6423446.0,
+      "step": 3525
+    },
+    {
+      "entropy": 5.5396312236785885,
+      "epoch": 2.924606462303231,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004443990233339918,
+      "loss": 5.4655,
+      "mean_token_accuracy": 0.1552535504102707,
+      "num_tokens": 6433412.0,
+      "step": 3530
+    },
+    {
+      "entropy": 5.652051544189453,
+      "epoch": 2.928748964374482,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004441885357999548,
+      "loss": 5.444,
+      "mean_token_accuracy": 0.1643453508615494,
+      "num_tokens": 6443520.0,
+      "step": 3535
+    },
+    {
+      "entropy": 5.674185514450073,
+      "epoch": 2.9328914664457333,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004439777069941524,
+      "loss": 5.5527,
+      "mean_token_accuracy": 0.15431721061468123,
+      "num_tokens": 6452933.0,
+      "step": 3540
+    },
+    {
+      "entropy": 5.550513553619385,
+      "epoch": 2.9370339685169844,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044376653734184935,
+      "loss": 5.3908,
+      "mean_token_accuracy": 0.16788479536771775,
+      "num_tokens": 6462113.0,
+      "step": 3545
+    },
+    {
+      "entropy": 5.468146800994873,
+      "epoch": 2.9411764705882355,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004435550272689979,
+      "loss": 5.4246,
+      "mean_token_accuracy": 0.16583772748708725,
+      "num_tokens": 6471411.0,
+      "step": 3550
+    },
+    {
+      "entropy": 5.662385082244873,
+      "epoch": 2.945318972659486,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00044334317720223706,
+      "loss": 5.532,
+      "mean_token_accuracy": 0.1599032275378704,
+      "num_tokens": 6480682.0,
+      "step": 3555
+    },
+    {
+      "entropy": 5.678339672088623,
+      "epoch": 2.9494614747307373,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00044313098756889154,
+      "loss": 5.5754,
+      "mean_token_accuracy": 0.15587076246738435,
+      "num_tokens": 6490614.0,
+      "step": 3560
+    },
+    {
+      "entropy": 5.585533094406128,
+      "epoch": 2.9536039768019884,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004429184587969708,
+      "loss": 5.4273,
+      "mean_token_accuracy": 0.16405707746744155,
+      "num_tokens": 6499079.0,
+      "step": 3565
+    },
+    {
+      "entropy": 5.668995666503906,
+      "epoch": 2.9577464788732395,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004427055913151689,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.14727827310562133,
+      "num_tokens": 6508556.0,
+      "step": 3570
+    },
+    {
+      "entropy": 5.70610499382019,
+      "epoch": 2.9618889809444906,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004424923855528626,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.15901169627904893,
+      "num_tokens": 6517934.0,
+      "step": 3575
+    },
+    {
+      "entropy": 5.614701509475708,
+      "epoch": 2.9660314830157413,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004422788419401114,
+      "loss": 5.4321,
+      "mean_token_accuracy": 0.1702651560306549,
+      "num_tokens": 6526995.0,
+      "step": 3580
+    },
+    {
+      "entropy": 5.572284936904907,
+      "epoch": 2.9701739850869924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00044206496090765595,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1573972523212433,
+      "num_tokens": 6535264.0,
+      "step": 3585
+    },
+    {
+      "entropy": 5.610080623626709,
+      "epoch": 2.9743164871582435,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00044185074288691776,
+      "loss": 5.3994,
+      "mean_token_accuracy": 0.1746336281299591,
+      "num_tokens": 6544498.0,
+      "step": 3590
+    },
+    {
+      "entropy": 5.582769393920898,
+      "epoch": 2.9784589892294946,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044163618830999794,
+      "loss": 5.5098,
+      "mean_token_accuracy": 0.16030704230070114,
+      "num_tokens": 6554761.0,
+      "step": 3595
+    },
+    {
+      "entropy": 5.603819417953491,
+      "epoch": 2.9826014913007457,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044142129760967643,
+      "loss": 5.5614,
+      "mean_token_accuracy": 0.15714355707168579,
+      "num_tokens": 6564039.0,
+      "step": 3600
+    },
+    {
+      "entropy": 5.679829835891724,
+      "epoch": 2.986743993371997,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004412060712194115,
+      "loss": 5.5068,
+      "mean_token_accuracy": 0.15993095487356185,
+      "num_tokens": 6572559.0,
+      "step": 3605
+    },
+    {
+      "entropy": 5.589264869689941,
+      "epoch": 2.990886495443248,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004409905095733381,
+      "loss": 5.4931,
+      "mean_token_accuracy": 0.1612076446413994,
+      "num_tokens": 6581621.0,
+      "step": 3610
+    },
+    {
+      "entropy": 5.550649166107178,
+      "epoch": 2.995028997514499,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00044077461310626764,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.15403861105442046,
+      "num_tokens": 6590353.0,
+      "step": 3615
+    },
+    {
+      "entropy": 5.64892258644104,
+      "epoch": 2.9991714995857497,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000440558382253687,
+      "loss": 5.4575,
+      "mean_token_accuracy": 0.16497674435377122,
+      "num_tokens": 6598822.0,
+      "step": 3620
+    },
+    {
+      "entropy": 5.5967165470123295,
+      "epoch": 3.003314001657001,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004403418174517573,
+      "loss": 5.2529,
+      "mean_token_accuracy": 0.16683556884527206,
+      "num_tokens": 6606728.0,
+      "step": 3625
+    },
+    {
+      "entropy": 5.599476623535156,
+      "epoch": 3.007456503728252,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044012491913731353,
+      "loss": 5.1756,
+      "mean_token_accuracy": 0.1743481546640396,
+      "num_tokens": 6616226.0,
+      "step": 3630
+    },
+    {
+      "entropy": 5.5095573425292965,
+      "epoch": 3.011599005799503,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004399076877478632,
+      "loss": 5.0266,
+      "mean_token_accuracy": 0.1868550017476082,
+      "num_tokens": 6624801.0,
+      "step": 3635
+    },
+    {
+      "entropy": 5.60879430770874,
+      "epoch": 3.015741507870754,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004396901237215858,
+      "loss": 5.2209,
+      "mean_token_accuracy": 0.16688485741615294,
+      "num_tokens": 6633043.0,
+      "step": 3640
+    },
+    {
+      "entropy": 5.538025426864624,
+      "epoch": 3.019884009942005,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043947222749733173,
+      "loss": 5.1692,
+      "mean_token_accuracy": 0.17499702274799347,
+      "num_tokens": 6641197.0,
+      "step": 3645
+    },
+    {
+      "entropy": 5.586767101287842,
+      "epoch": 3.024026512013256,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043925399951462153,
+      "loss": 5.2064,
+      "mean_token_accuracy": 0.1801098555326462,
+      "num_tokens": 6650411.0,
+      "step": 3650
+    },
+    {
+      "entropy": 5.4191618919372555,
+      "epoch": 3.028169014084507,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004390354402136449,
+      "loss": 5.0903,
+      "mean_token_accuracy": 0.17804521024227143,
+      "num_tokens": 6659405.0,
+      "step": 3655
+    },
+    {
+      "entropy": 5.583788824081421,
+      "epoch": 3.032311516155758,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0004388165500352597,
+      "loss": 5.1642,
+      "mean_token_accuracy": 0.17557908743619918,
+      "num_tokens": 6667701.0,
+      "step": 3660
+    },
+    {
+      "entropy": 5.614604902267456,
+      "epoch": 3.036454018227009,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004385973294209915,
+      "loss": 5.1881,
+      "mean_token_accuracy": 0.17808027267456056,
+      "num_tokens": 6676801.0,
+      "step": 3665
+    },
+    {
+      "entropy": 5.457578706741333,
+      "epoch": 3.0405965202982603,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004383777788130321,
+      "loss": 5.083,
+      "mean_token_accuracy": 0.17836775481700898,
+      "num_tokens": 6686005.0,
+      "step": 3670
+    },
+    {
+      "entropy": 5.479088068008423,
+      "epoch": 3.044739022369511,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004381578986542393,
+      "loss": 5.0937,
+      "mean_token_accuracy": 0.17960153371095658,
+      "num_tokens": 6694884.0,
+      "step": 3675
+    },
+    {
+      "entropy": 5.501745700836182,
+      "epoch": 3.048881524440762,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004379376893881352,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.17827630788087845,
+      "num_tokens": 6703476.0,
+      "step": 3680
+    },
+    {
+      "entropy": 5.616245269775391,
+      "epoch": 3.053024026512013,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004377171514589059,
+      "loss": 5.2531,
+      "mean_token_accuracy": 0.1736731931567192,
+      "num_tokens": 6712576.0,
+      "step": 3685
+    },
+    {
+      "entropy": 5.398316955566406,
+      "epoch": 3.0571665285832643,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004374962853114007,
+      "loss": 5.0545,
+      "mean_token_accuracy": 0.18062082678079605,
+      "num_tokens": 6721532.0,
+      "step": 3690
+    },
+    {
+      "entropy": 5.480774354934693,
+      "epoch": 3.0613090306545154,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004372750913911306,
+      "loss": 5.1028,
+      "mean_token_accuracy": 0.18300070911645888,
+      "num_tokens": 6730055.0,
+      "step": 3695
+    },
+    {
+      "entropy": 5.446919918060303,
+      "epoch": 3.0654515327257665,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004370535701442679,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.17969694286584853,
+      "num_tokens": 6739310.0,
+      "step": 3700
+    },
+    {
+      "entropy": 5.54828953742981,
+      "epoch": 3.069594034797017,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043683172201764537,
+      "loss": 5.2581,
+      "mean_token_accuracy": 0.16716694980859756,
+      "num_tokens": 6748976.0,
+      "step": 3705
+    },
+    {
+      "entropy": 5.539231872558593,
+      "epoch": 3.0737365368682683,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004366095474587547,
+      "loss": 5.1044,
+      "mean_token_accuracy": 0.17598106861114501,
+      "num_tokens": 6758043.0,
+      "step": 3710
+    },
+    {
+      "entropy": 5.500854778289795,
+      "epoch": 3.0778790389395194,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00043638704691574646,
+      "loss": 5.163,
+      "mean_token_accuracy": 0.1786232903599739,
+      "num_tokens": 6767554.0,
+      "step": 3715
+    },
+    {
+      "entropy": 5.560473966598511,
+      "epoch": 3.0820215410107705,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004361642208374283,
+      "loss": 5.1882,
+      "mean_token_accuracy": 0.1666739672422409,
+      "num_tokens": 6776161.0,
+      "step": 3720
+    },
+    {
+      "entropy": 5.476630401611328,
+      "epoch": 3.0861640430820216,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043594106967326495,
+      "loss": 5.1169,
+      "mean_token_accuracy": 0.17555084377527236,
+      "num_tokens": 6785371.0,
+      "step": 3725
+    },
+    {
+      "entropy": 5.494755983352661,
+      "epoch": 3.0903065451532727,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00043571759387337665,
+      "loss": 5.1456,
+      "mean_token_accuracy": 0.1808715656399727,
+      "num_tokens": 6795242.0,
+      "step": 3730
+    },
+    {
+      "entropy": 5.591760492324829,
+      "epoch": 3.0944490472245234,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004354937938885385,
+      "loss": 5.2235,
+      "mean_token_accuracy": 0.17338325083255768,
+      "num_tokens": 6805423.0,
+      "step": 3735
+    },
+    {
+      "entropy": 5.464981889724731,
+      "epoch": 3.0985915492957745,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004352696701701796,
+      "loss": 5.1469,
+      "mean_token_accuracy": 0.17880967408418655,
+      "num_tokens": 6814377.0,
+      "step": 3740
+    },
+    {
+      "entropy": 5.448660278320313,
+      "epoch": 3.1027340513670256,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004350452231703819,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.18132367432117463,
+      "num_tokens": 6824025.0,
+      "step": 3745
+    },
+    {
+      "entropy": 5.550149536132812,
+      "epoch": 3.1068765534382767,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043482045334187954,
+      "loss": 5.1273,
+      "mean_token_accuracy": 0.18649032860994338,
+      "num_tokens": 6833071.0,
+      "step": 3750
+    },
+    {
+      "entropy": 5.442513799667358,
+      "epoch": 3.111019055509528,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043459536113805785,
+      "loss": 5.1076,
+      "mean_token_accuracy": 0.17443138360977173,
+      "num_tokens": 6841983.0,
+      "step": 3755
+    },
+    {
+      "entropy": 5.447629022598266,
+      "epoch": 3.115161557580779,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00043436994701295237,
+      "loss": 5.1043,
+      "mean_token_accuracy": 0.17914267033338546,
+      "num_tokens": 6851436.0,
+      "step": 3760
+    },
+    {
+      "entropy": 5.461205101013183,
+      "epoch": 3.1193040596520296,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00043414421142124804,
+      "loss": 5.1836,
+      "mean_token_accuracy": 0.1672696813941002,
+      "num_tokens": 6861810.0,
+      "step": 3765
+    },
+    {
+      "entropy": 5.478553342819214,
+      "epoch": 3.1234465617232807,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00043391815481827814,
+      "loss": 5.0639,
+      "mean_token_accuracy": 0.18850475996732713,
+      "num_tokens": 6870418.0,
+      "step": 3770
+    },
+    {
+      "entropy": 5.41155161857605,
+      "epoch": 3.127589063794532,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004336917776600237,
+      "loss": 5.0683,
+      "mean_token_accuracy": 0.18221812546253205,
+      "num_tokens": 6879419.0,
+      "step": 3775
+    },
+    {
+      "entropy": 5.435874891281128,
+      "epoch": 3.131731565865783,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004334650804031122,
+      "loss": 5.1852,
+      "mean_token_accuracy": 0.17172302156686783,
+      "num_tokens": 6888768.0,
+      "step": 3780
+    },
+    {
+      "entropy": 5.507850646972656,
+      "epoch": 3.135874067937034,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004332380635048165,
+      "loss": 5.1296,
+      "mean_token_accuracy": 0.17900288552045823,
+      "num_tokens": 6897133.0,
+      "step": 3785
+    },
+    {
+      "entropy": 5.485491752624512,
+      "epoch": 3.140016570008285,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00043301072742305474,
+      "loss": 5.1773,
+      "mean_token_accuracy": 0.17168077528476716,
+      "num_tokens": 6904976.0,
+      "step": 3790
+    },
+    {
+      "entropy": 5.537312364578247,
+      "epoch": 3.1441590720795363,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0004327830726163886,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.17883574068546296,
+      "num_tokens": 6915138.0,
+      "step": 3795
+    },
+    {
+      "entropy": 5.548703718185425,
+      "epoch": 3.148301574150787,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0004325550995440226,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.1752033144235611,
+      "num_tokens": 6923962.0,
+      "step": 3800
+    },
+    {
+      "entropy": 5.386642169952393,
+      "epoch": 3.152444076222038,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043232680866580356,
+      "loss": 5.1478,
+      "mean_token_accuracy": 0.17952724993228913,
+      "num_tokens": 6932102.0,
+      "step": 3805
+    },
+    {
+      "entropy": 5.464086627960205,
+      "epoch": 3.156586578293289,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00043209820044221893,
+      "loss": 5.153,
+      "mean_token_accuracy": 0.1785269558429718,
+      "num_tokens": 6940354.0,
+      "step": 3810
+    },
+    {
+      "entropy": 5.4963922023773195,
+      "epoch": 3.1607290803645403,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00043186927533439654,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.1716633692383766,
+      "num_tokens": 6949779.0,
+      "step": 3815
+    },
+    {
+      "entropy": 5.536400413513183,
+      "epoch": 3.1648715824357914,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043164003380410335,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.17445194274187087,
+      "num_tokens": 6958760.0,
+      "step": 3820
+    },
+    {
+      "entropy": 5.486375331878662,
+      "epoch": 3.169014084507042,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004314104763137445,
+      "loss": 5.1037,
+      "mean_token_accuracy": 0.18134674280881882,
+      "num_tokens": 6967535.0,
+      "step": 3825
+    },
+    {
+      "entropy": 5.469356393814087,
+      "epoch": 3.173156586578293,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043118060332636264,
+      "loss": 5.2036,
+      "mean_token_accuracy": 0.17774708271026612,
+      "num_tokens": 6976211.0,
+      "step": 3830
+    },
+    {
+      "entropy": 5.576221227645874,
+      "epoch": 3.1772990886495442,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043095041530563665,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.17325948774814606,
+      "num_tokens": 6986001.0,
+      "step": 3835
+    },
+    {
+      "entropy": 5.420689487457276,
+      "epoch": 3.1814415907207954,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00043071991271588104,
+      "loss": 5.2006,
+      "mean_token_accuracy": 0.18302187621593474,
+      "num_tokens": 6994568.0,
+      "step": 3840
+    },
+    {
+      "entropy": 5.52434401512146,
+      "epoch": 3.1855840927920465,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004304890960220446,
+      "loss": 5.2921,
+      "mean_token_accuracy": 0.16869494169950486,
+      "num_tokens": 7004744.0,
+      "step": 3845
+    },
+    {
+      "entropy": 5.520354557037353,
+      "epoch": 3.1897265948632976,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043025796568970975,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.1696591019630432,
+      "num_tokens": 7014315.0,
+      "step": 3850
+    },
+    {
+      "entropy": 5.523347425460815,
+      "epoch": 3.1938690969345487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043002652218509184,
+      "loss": 5.1172,
+      "mean_token_accuracy": 0.18450311720371246,
+      "num_tokens": 7022258.0,
+      "step": 3855
+    },
+    {
+      "entropy": 5.522213459014893,
+      "epoch": 3.1980115990057993,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004297947659750376,
+      "loss": 5.2587,
+      "mean_token_accuracy": 0.1674624815583229,
+      "num_tokens": 7031732.0,
+      "step": 3860
+    },
+    {
+      "entropy": 5.467557621002197,
+      "epoch": 3.2021541010770505,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004295626975270246,
+      "loss": 5.1818,
+      "mean_token_accuracy": 0.1766605108976364,
+      "num_tokens": 7040478.0,
+      "step": 3865
+    },
+    {
+      "entropy": 5.490935039520264,
+      "epoch": 3.2062966031483016,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00042933031730916024,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.18396904766559602,
+      "num_tokens": 7049360.0,
+      "step": 3870
+    },
+    {
+      "entropy": 5.5688018798828125,
+      "epoch": 3.2104391052195527,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000429097625790181,
+      "loss": 5.2267,
+      "mean_token_accuracy": 0.17498258501291275,
+      "num_tokens": 7059271.0,
+      "step": 3875
+    },
+    {
+      "entropy": 5.398471450805664,
+      "epoch": 3.2145816072908038,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004288646234394508,
+      "loss": 5.2177,
+      "mean_token_accuracy": 0.17296054661273957,
+      "num_tokens": 7069038.0,
+      "step": 3880
+    },
+    {
+      "entropy": 5.5407984256744385,
+      "epoch": 3.218724109362055,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00042863131072696115,
+      "loss": 5.1617,
+      "mean_token_accuracy": 0.17704827934503556,
+      "num_tokens": 7077971.0,
+      "step": 3885
+    },
+    {
+      "entropy": 5.4559561252594,
+      "epoch": 3.2228666114333056,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00042839768812332905,
+      "loss": 5.1612,
+      "mean_token_accuracy": 0.17406544089317322,
+      "num_tokens": 7086821.0,
+      "step": 3890
+    },
+    {
+      "entropy": 5.419722366333008,
+      "epoch": 3.2270091135045567,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000428163756099797,
+      "loss": 5.1859,
+      "mean_token_accuracy": 0.17225482910871506,
+      "num_tokens": 7095407.0,
+      "step": 3895
+    },
+    {
+      "entropy": 5.48249921798706,
+      "epoch": 3.2311516155758078,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004279295151282314,
+      "loss": 5.1116,
+      "mean_token_accuracy": 0.18240531533956528,
+      "num_tokens": 7103964.0,
+      "step": 3900
+    },
+    {
+      "entropy": 5.564240264892578,
+      "epoch": 3.235294117647059,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004276949656811217,
+      "loss": 5.251,
+      "mean_token_accuracy": 0.17079487890005113,
+      "num_tokens": 7113571.0,
+      "step": 3905
+    },
+    {
+      "entropy": 5.522033739089966,
+      "epoch": 3.23943661971831,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00042746010823158006,
+      "loss": 5.2738,
+      "mean_token_accuracy": 0.17067040055990218,
+      "num_tokens": 7122844.0,
+      "step": 3910
+    },
+    {
+      "entropy": 5.4324219703674315,
+      "epoch": 3.243579121789561,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042722494325333945,
+      "loss": 5.1326,
+      "mean_token_accuracy": 0.176889306306839,
+      "num_tokens": 7132123.0,
+      "step": 3915
+    },
+    {
+      "entropy": 5.458636379241943,
+      "epoch": 3.2477216238608118,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004269894712207533,
+      "loss": 5.1819,
+      "mean_token_accuracy": 0.18051923513412477,
+      "num_tokens": 7141068.0,
+      "step": 3920
+    },
+    {
+      "entropy": 5.43212571144104,
+      "epoch": 3.251864125932063,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004267536926087947,
+      "loss": 5.1925,
+      "mean_token_accuracy": 0.1708641156554222,
+      "num_tokens": 7150829.0,
+      "step": 3925
+    },
+    {
+      "entropy": 5.458031702041626,
+      "epoch": 3.256006628003314,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004265176078930545,
+      "loss": 5.1703,
+      "mean_token_accuracy": 0.17345706522464752,
+      "num_tokens": 7160814.0,
+      "step": 3930
+    },
+    {
+      "entropy": 5.498150825500488,
+      "epoch": 3.260149130074565,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00042628121754974166,
+      "loss": 5.2634,
+      "mean_token_accuracy": 0.17203340232372283,
+      "num_tokens": 7170085.0,
+      "step": 3935
+    },
+    {
+      "entropy": 5.590339422225952,
+      "epoch": 3.264291632145816,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004260445220556811,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.1736685037612915,
+      "num_tokens": 7179366.0,
+      "step": 3940
+    },
+    {
+      "entropy": 5.52174072265625,
+      "epoch": 3.2684341342170673,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00042580752188831376,
+      "loss": 5.2819,
+      "mean_token_accuracy": 0.17067586481571198,
+      "num_tokens": 7188342.0,
+      "step": 3945
+    },
+    {
+      "entropy": 5.556540441513062,
+      "epoch": 3.272576636288318,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004255702175256946,
+      "loss": 5.3095,
+      "mean_token_accuracy": 0.17531315684318544,
+      "num_tokens": 7197466.0,
+      "step": 3950
+    },
+    {
+      "entropy": 5.42687840461731,
+      "epoch": 3.276719138359569,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00042533260944649273,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17852312475442886,
+      "num_tokens": 7205462.0,
+      "step": 3955
+    },
+    {
+      "entropy": 5.424286890029907,
+      "epoch": 3.28086164043082,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004250946981299893,
+      "loss": 5.1838,
+      "mean_token_accuracy": 0.17682615667581558,
+      "num_tokens": 7215115.0,
+      "step": 3960
+    },
+    {
+      "entropy": 5.459038209915161,
+      "epoch": 3.2850041425020713,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00042485648405607776,
+      "loss": 5.1379,
+      "mean_token_accuracy": 0.17029522657394408,
+      "num_tokens": 7224909.0,
+      "step": 3965
+    },
+    {
+      "entropy": 5.392039203643799,
+      "epoch": 3.2891466445733224,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004246179677052617,
+      "loss": 5.0642,
+      "mean_token_accuracy": 0.18698266595602037,
+      "num_tokens": 7232946.0,
+      "step": 3970
+    },
+    {
+      "entropy": 5.362467432022095,
+      "epoch": 3.2932891466445735,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004243791495586547,
+      "loss": 5.1736,
+      "mean_token_accuracy": 0.17996304631233215,
+      "num_tokens": 7241104.0,
+      "step": 3975
+    },
+    {
+      "entropy": 5.567073392868042,
+      "epoch": 3.297431648715824,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004241400300979791,
+      "loss": 5.2257,
+      "mean_token_accuracy": 0.1786801502108574,
+      "num_tokens": 7250749.0,
+      "step": 3980
+    },
+    {
+      "entropy": 5.447740983963013,
+      "epoch": 3.3015741507870753,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004239006098055651,
+      "loss": 5.124,
+      "mean_token_accuracy": 0.1787547677755356,
+      "num_tokens": 7258687.0,
+      "step": 3985
+    },
+    {
+      "entropy": 5.41381049156189,
+      "epoch": 3.3057166528583264,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004236608891643494,
+      "loss": 5.1572,
+      "mean_token_accuracy": 0.17702401280403138,
+      "num_tokens": 7267316.0,
+      "step": 3990
+    },
+    {
+      "entropy": 5.448715782165527,
+      "epoch": 3.3098591549295775,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004234208686578748,
+      "loss": 5.1777,
+      "mean_token_accuracy": 0.17505329996347427,
+      "num_tokens": 7276734.0,
+      "step": 3995
+    },
+    {
+      "entropy": 5.440592193603516,
+      "epoch": 3.3140016570008286,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00042318054877028876,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17840310037136078,
+      "num_tokens": 7285916.0,
+      "step": 4000
+    },
+    {
+      "epoch": 3.3140016570008286,
+      "eval_entropy": 5.363256025416002,
+      "eval_loss": 5.893955707550049,
+      "eval_mean_token_accuracy": 0.15349840453819935,
+      "eval_num_tokens": 7285916.0,
+      "eval_runtime": 2.7471,
+      "eval_samples_per_second": 1363.961,
+      "eval_steps_per_second": 170.723,
+      "step": 4000
+    },
+    {
+      "entropy": 5.487448406219483,
+      "epoch": 3.3181441590720797,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042293992998634314,
+      "loss": 5.1667,
+      "mean_token_accuracy": 0.17779863625764847,
+      "num_tokens": 7294184.0,
+      "step": 4005
+    },
+    {
+      "entropy": 5.414953899383545,
+      "epoch": 3.3222866611433304,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004226990127913918,
+      "loss": 5.177,
+      "mean_token_accuracy": 0.1768763244152069,
+      "num_tokens": 7302647.0,
+      "step": 4010
+    },
+    {
+      "entropy": 5.442982530593872,
+      "epoch": 3.3264291632145815,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004224577976713915,
+      "loss": 5.2506,
+      "mean_token_accuracy": 0.16832198798656464,
+      "num_tokens": 7311455.0,
+      "step": 4015
+    },
+    {
+      "entropy": 5.609448575973511,
+      "epoch": 3.3305716652858326,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00042221628511289927,
+      "loss": 5.3136,
+      "mean_token_accuracy": 0.16625809520483018,
+      "num_tokens": 7320978.0,
+      "step": 4020
+    },
+    {
+      "entropy": 5.612923622131348,
+      "epoch": 3.3347141673570837,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004219744756030723,
+      "loss": 5.3273,
+      "mean_token_accuracy": 0.16872513592243193,
+      "num_tokens": 7330202.0,
+      "step": 4025
+    },
+    {
+      "entropy": 5.4015247344970705,
+      "epoch": 3.338856669428335,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00042173236962966706,
+      "loss": 5.1649,
+      "mean_token_accuracy": 0.17969190180301667,
+      "num_tokens": 7339121.0,
+      "step": 4030
+    },
+    {
+      "entropy": 5.492907905578614,
+      "epoch": 3.342999171499586,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004214899676810375,
+      "loss": 5.2251,
+      "mean_token_accuracy": 0.1665240079164505,
+      "num_tokens": 7348631.0,
+      "step": 4035
+    },
+    {
+      "entropy": 5.469464063644409,
+      "epoch": 3.347141673570837,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004212472702461348,
+      "loss": 5.1843,
+      "mean_token_accuracy": 0.1820875510573387,
+      "num_tokens": 7358354.0,
+      "step": 4040
+    },
+    {
+      "entropy": 5.454071807861328,
+      "epoch": 3.3512841756420877,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004210042778145064,
+      "loss": 5.2038,
+      "mean_token_accuracy": 0.17285584658384323,
+      "num_tokens": 7367031.0,
+      "step": 4045
+    },
+    {
+      "entropy": 5.436822319030762,
+      "epoch": 3.355426677713339,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00042076099087629443,
+      "loss": 5.2025,
+      "mean_token_accuracy": 0.1784903883934021,
+      "num_tokens": 7375996.0,
+      "step": 4050
+    },
+    {
+      "entropy": 5.552537536621093,
+      "epoch": 3.35956917978459,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00042051740992223534,
+      "loss": 5.2567,
+      "mean_token_accuracy": 0.16439318358898164,
+      "num_tokens": 7385355.0,
+      "step": 4055
+    },
+    {
+      "entropy": 5.402252960205078,
+      "epoch": 3.363711681855841,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004202735354436586,
+      "loss": 5.0999,
+      "mean_token_accuracy": 0.1792566418647766,
+      "num_tokens": 7394384.0,
+      "step": 4060
+    },
+    {
+      "entropy": 5.511481237411499,
+      "epoch": 3.367854183927092,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00042002936793248546,
+      "loss": 5.2458,
+      "mean_token_accuracy": 0.1770971804857254,
+      "num_tokens": 7403141.0,
+      "step": 4065
+    },
+    {
+      "entropy": 5.508409786224365,
+      "epoch": 3.371996685998343,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004197849078812286,
+      "loss": 5.199,
+      "mean_token_accuracy": 0.1739865079522133,
+      "num_tokens": 7413331.0,
+      "step": 4070
+    },
+    {
+      "entropy": 5.471702003479004,
+      "epoch": 3.376139188069594,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004195401557829907,
+      "loss": 5.2368,
+      "mean_token_accuracy": 0.17052597552537918,
+      "num_tokens": 7422362.0,
+      "step": 4075
+    },
+    {
+      "entropy": 5.4563977241516115,
+      "epoch": 3.380281690140845,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041929511213146343,
+      "loss": 5.1661,
+      "mean_token_accuracy": 0.18033864200115204,
+      "num_tokens": 7431350.0,
+      "step": 4080
+    },
+    {
+      "entropy": 5.4815953254699705,
+      "epoch": 3.384424192212096,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004190497774209266,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.1800685152411461,
+      "num_tokens": 7440382.0,
+      "step": 4085
+    },
+    {
+      "entropy": 5.51438536643982,
+      "epoch": 3.3885666942833472,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00041880415214624715,
+      "loss": 5.2355,
+      "mean_token_accuracy": 0.17847414761781694,
+      "num_tokens": 7449357.0,
+      "step": 4090
+    },
+    {
+      "entropy": 5.463125705718994,
+      "epoch": 3.3927091963545983,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004185582368028781,
+      "loss": 5.1468,
+      "mean_token_accuracy": 0.1853232800960541,
+      "num_tokens": 7457544.0,
+      "step": 4095
+    },
+    {
+      "entropy": 5.409591102600098,
+      "epoch": 3.3968516984258494,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004183120318868577,
+      "loss": 5.1616,
+      "mean_token_accuracy": 0.18774343580007552,
+      "num_tokens": 7465915.0,
+      "step": 4100
+    },
+    {
+      "entropy": 5.435869741439819,
+      "epoch": 3.4009942004971,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00041806553789480787,
+      "loss": 5.1161,
+      "mean_token_accuracy": 0.1833360970020294,
+      "num_tokens": 7474551.0,
+      "step": 4105
+    },
+    {
+      "entropy": 5.507905626296997,
+      "epoch": 3.405136702568351,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00041781875532393423,
+      "loss": 5.2287,
+      "mean_token_accuracy": 0.17473389357328414,
+      "num_tokens": 7483271.0,
+      "step": 4110
+    },
+    {
+      "entropy": 5.474280261993409,
+      "epoch": 3.4092792046396023,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00041757168467202404,
+      "loss": 5.2371,
+      "mean_token_accuracy": 0.17051266878843307,
+      "num_tokens": 7493179.0,
+      "step": 4115
+    },
+    {
+      "entropy": 5.47375521659851,
+      "epoch": 3.4134217067108534,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00041732432643744576,
+      "loss": 5.2132,
+      "mean_token_accuracy": 0.17562344074249267,
+      "num_tokens": 7501858.0,
+      "step": 4120
+    },
+    {
+      "entropy": 5.562008953094482,
+      "epoch": 3.4175642087821045,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004170766811191481,
+      "loss": 5.282,
+      "mean_token_accuracy": 0.16895801872014998,
+      "num_tokens": 7511817.0,
+      "step": 4125
+    },
+    {
+      "entropy": 5.3949895858764645,
+      "epoch": 3.421706710853355,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.0004168287492166587,
+      "loss": 5.2513,
+      "mean_token_accuracy": 0.175115604698658,
+      "num_tokens": 7521655.0,
+      "step": 4130
+    },
+    {
+      "entropy": 5.478516006469727,
+      "epoch": 3.4258492129246063,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041658053123008325,
+      "loss": 5.2289,
+      "mean_token_accuracy": 0.17174260020256044,
+      "num_tokens": 7531321.0,
+      "step": 4135
+    },
+    {
+      "entropy": 5.469200515747071,
+      "epoch": 3.4299917149958574,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004163320276601046,
+      "loss": 5.2104,
+      "mean_token_accuracy": 0.17538849860429764,
+      "num_tokens": 7540613.0,
+      "step": 4140
+    },
+    {
+      "entropy": 5.478423690795898,
+      "epoch": 3.4341342170671085,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004160832390079816,
+      "loss": 5.2823,
+      "mean_token_accuracy": 0.17514234632253647,
+      "num_tokens": 7549598.0,
+      "step": 4145
+    },
+    {
+      "entropy": 5.449503993988037,
+      "epoch": 3.4382767191383596,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00041583416577554815,
+      "loss": 5.1509,
+      "mean_token_accuracy": 0.18169643133878707,
+      "num_tokens": 7558738.0,
+      "step": 4150
+    },
+    {
+      "entropy": 5.454873323440552,
+      "epoch": 3.4424192212096107,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041558480846521213,
+      "loss": 5.1996,
+      "mean_token_accuracy": 0.17627429366111755,
+      "num_tokens": 7566873.0,
+      "step": 4155
+    },
+    {
+      "entropy": 5.413073778152466,
+      "epoch": 3.446561723280862,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041533516757995455,
+      "loss": 5.18,
+      "mean_token_accuracy": 0.1794169783592224,
+      "num_tokens": 7576645.0,
+      "step": 4160
+    },
+    {
+      "entropy": 5.449489498138428,
+      "epoch": 3.4507042253521125,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004150852436233283,
+      "loss": 5.1844,
+      "mean_token_accuracy": 0.17338148206472398,
+      "num_tokens": 7584854.0,
+      "step": 4165
+    },
+    {
+      "entropy": 5.500524044036865,
+      "epoch": 3.4548467274233636,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004148350370994574,
+      "loss": 5.3142,
+      "mean_token_accuracy": 0.16781232208013536,
+      "num_tokens": 7594022.0,
+      "step": 4170
+    },
+    {
+      "entropy": 5.458495187759399,
+      "epoch": 3.4589892294946147,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004145845485130357,
+      "loss": 5.1757,
+      "mean_token_accuracy": 0.17461147904396057,
+      "num_tokens": 7603259.0,
+      "step": 4175
+    },
+    {
+      "entropy": 5.453242301940918,
+      "epoch": 3.463131731565866,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00041433377836932594,
+      "loss": 5.2853,
+      "mean_token_accuracy": 0.1680028423666954,
+      "num_tokens": 7613451.0,
+      "step": 4180
+    },
+    {
+      "entropy": 5.533868455886841,
+      "epoch": 3.467274233637117,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00041408272717415913,
+      "loss": 5.245,
+      "mean_token_accuracy": 0.17225596755743028,
+      "num_tokens": 7622218.0,
+      "step": 4185
+    },
+    {
+      "entropy": 5.351213121414185,
+      "epoch": 3.4714167357083676,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004138313954339327,
+      "loss": 5.104,
+      "mean_token_accuracy": 0.17463669180870056,
+      "num_tokens": 7630508.0,
+      "step": 4190
+    },
+    {
+      "entropy": 5.488496780395508,
+      "epoch": 3.4755592377796187,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004135797836556106,
+      "loss": 5.1982,
+      "mean_token_accuracy": 0.181541608273983,
+      "num_tokens": 7640141.0,
+      "step": 4195
+    },
+    {
+      "entropy": 5.459699392318726,
+      "epoch": 3.47970173985087,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041332789234672094,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1721531167626381,
+      "num_tokens": 7648764.0,
+      "step": 4200
+    },
+    {
+      "entropy": 5.406872129440307,
+      "epoch": 3.483844241922121,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004130757220153561,
+      "loss": 5.1952,
+      "mean_token_accuracy": 0.18173792064189911,
+      "num_tokens": 7658642.0,
+      "step": 4205
+    },
+    {
+      "entropy": 5.544135618209839,
+      "epoch": 3.487986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004128232731701712,
+      "loss": 5.377,
+      "mean_token_accuracy": 0.16519460082054138,
+      "num_tokens": 7667524.0,
+      "step": 4210
+    },
+    {
+      "entropy": 5.488169002532959,
+      "epoch": 3.492129246064623,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004125705463203833,
+      "loss": 5.1928,
+      "mean_token_accuracy": 0.18297115415334703,
+      "num_tokens": 7675800.0,
+      "step": 4215
+    },
+    {
+      "entropy": 5.490040969848633,
+      "epoch": 3.4962717481358743,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041231754197576986,
+      "loss": 5.2252,
+      "mean_token_accuracy": 0.1757526621222496,
+      "num_tokens": 7683742.0,
+      "step": 4220
+    },
+    {
+      "entropy": 5.468280076980591,
+      "epoch": 3.5004142502071254,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004120642606466685,
+      "loss": 5.2278,
+      "mean_token_accuracy": 0.1796238511800766,
+      "num_tokens": 7692379.0,
+      "step": 4225
+    },
+    {
+      "entropy": 5.494374942779541,
+      "epoch": 3.504556752278376,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004118107028439751,
+      "loss": 5.2138,
+      "mean_token_accuracy": 0.17588699012994766,
+      "num_tokens": 7702156.0,
+      "step": 4230
+    },
+    {
+      "entropy": 5.467664003372192,
+      "epoch": 3.508699254349627,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00041155686907914365,
+      "loss": 5.2275,
+      "mean_token_accuracy": 0.1754150867462158,
+      "num_tokens": 7712135.0,
+      "step": 4235
+    },
+    {
+      "entropy": 5.451332426071167,
+      "epoch": 3.5128417564208783,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004113027598641845,
+      "loss": 5.1785,
+      "mean_token_accuracy": 0.1752738744020462,
+      "num_tokens": 7721347.0,
+      "step": 4240
+    },
+    {
+      "entropy": 5.471200275421142,
+      "epoch": 3.5169842584921294,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004110483757116637,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.1789921909570694,
+      "num_tokens": 7731351.0,
+      "step": 4245
+    },
+    {
+      "entropy": 5.433224248886108,
+      "epoch": 3.52112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00041079371713470195,
+      "loss": 5.0996,
+      "mean_token_accuracy": 0.18778069019317628,
+      "num_tokens": 7740413.0,
+      "step": 4250
+    },
+    {
+      "entropy": 5.416608476638794,
+      "epoch": 3.525269262634631,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041053878464697343,
+      "loss": 5.1977,
+      "mean_token_accuracy": 0.18009850829839708,
+      "num_tokens": 7749319.0,
+      "step": 4255
+    },
+    {
+      "entropy": 5.519042015075684,
+      "epoch": 3.5294117647058822,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004102835787627047,
+      "loss": 5.2446,
+      "mean_token_accuracy": 0.17312991321086885,
+      "num_tokens": 7757936.0,
+      "step": 4260
+    },
+    {
+      "entropy": 5.542943048477173,
+      "epoch": 3.5335542667771334,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004100280999966741,
+      "loss": 5.3083,
+      "mean_token_accuracy": 0.17331433892250062,
+      "num_tokens": 7767349.0,
+      "step": 4265
+    },
+    {
+      "entropy": 5.4042651653289795,
+      "epoch": 3.5376967688483845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00040977234886421007,
+      "loss": 5.1133,
+      "mean_token_accuracy": 0.17731781899929047,
+      "num_tokens": 7776448.0,
+      "step": 4270
+    },
+    {
+      "entropy": 5.4222177028656,
+      "epoch": 3.5418392709196356,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040951632588119064,
+      "loss": 5.209,
+      "mean_token_accuracy": 0.17401482313871383,
+      "num_tokens": 7785768.0,
+      "step": 4275
+    },
+    {
+      "entropy": 5.600345802307129,
+      "epoch": 3.5459817729908867,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004092600315640422,
+      "loss": 5.2999,
+      "mean_token_accuracy": 0.1715576618909836,
+      "num_tokens": 7794803.0,
+      "step": 4280
+    },
+    {
+      "entropy": 5.411063814163208,
+      "epoch": 3.550124275062138,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004090034664297382,
+      "loss": 5.157,
+      "mean_token_accuracy": 0.17963247746229172,
+      "num_tokens": 7803533.0,
+      "step": 4285
+    },
+    {
+      "entropy": 5.421855831146241,
+      "epoch": 3.5542667771333885,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00040874663099579883,
+      "loss": 5.2246,
+      "mean_token_accuracy": 0.1706953912973404,
+      "num_tokens": 7812854.0,
+      "step": 4290
+    },
+    {
+      "entropy": 5.49954047203064,
+      "epoch": 3.5584092792046396,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040848952578028915,
+      "loss": 5.1628,
+      "mean_token_accuracy": 0.174958436191082,
+      "num_tokens": 7821683.0,
+      "step": 4295
+    },
+    {
+      "entropy": 5.501424264907837,
+      "epoch": 3.5625517812758907,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004082321513018183,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.18335361480712892,
+      "num_tokens": 7830967.0,
+      "step": 4300
+    },
+    {
+      "entropy": 5.48747296333313,
+      "epoch": 3.566694283347142,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00040797450807953897,
+      "loss": 5.2159,
+      "mean_token_accuracy": 0.17444179207086563,
+      "num_tokens": 7841179.0,
+      "step": 4305
+    },
+    {
+      "entropy": 5.489819192886353,
+      "epoch": 3.5708367854183924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004077165966331454,
+      "loss": 5.1587,
+      "mean_token_accuracy": 0.1852751389145851,
+      "num_tokens": 7849841.0,
+      "step": 4310
+    },
+    {
+      "entropy": 5.301797342300415,
+      "epoch": 3.5749792874896436,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004074584174828735,
+      "loss": 5.2184,
+      "mean_token_accuracy": 0.1747626096010208,
+      "num_tokens": 7859390.0,
+      "step": 4315
+    },
+    {
+      "entropy": 5.493851947784424,
+      "epoch": 3.5791217895608947,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040719997114949856,
+      "loss": 5.1913,
+      "mean_token_accuracy": 0.17565421015024185,
+      "num_tokens": 7868848.0,
+      "step": 4320
+    },
+    {
+      "entropy": 5.506833124160766,
+      "epoch": 3.5832642916321458,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040694125815433533,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.18058759868144988,
+      "num_tokens": 7877521.0,
+      "step": 4325
+    },
+    {
+      "entropy": 5.488465976715088,
+      "epoch": 3.587406793703397,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004066822790192359,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.17181889414787294,
+      "num_tokens": 7886355.0,
+      "step": 4330
+    },
+    {
+      "entropy": 5.437413024902344,
+      "epoch": 3.591549295774648,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00040642303426658967,
+      "loss": 5.2518,
+      "mean_token_accuracy": 0.17224401384592056,
+      "num_tokens": 7895028.0,
+      "step": 4335
+    },
+    {
+      "entropy": 5.379445266723633,
+      "epoch": 3.595691797845899,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040616352441932163,
+      "loss": 5.1282,
+      "mean_token_accuracy": 0.17695483118295668,
+      "num_tokens": 7904192.0,
+      "step": 4340
+    },
+    {
+      "entropy": 5.439553546905517,
+      "epoch": 3.59983429991715,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00040590375000089146,
+      "loss": 5.2066,
+      "mean_token_accuracy": 0.17032651007175445,
+      "num_tokens": 7912328.0,
+      "step": 4345
+    },
+    {
+      "entropy": 5.5121315002441404,
+      "epoch": 3.603976801988401,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00040564371153529256,
+      "loss": 5.2517,
+      "mean_token_accuracy": 0.1720314145088196,
+      "num_tokens": 7922594.0,
+      "step": 4350
+    },
+    {
+      "entropy": 5.450373315811158,
+      "epoch": 3.608119304059652,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004053834095470509,
+      "loss": 5.2201,
+      "mean_token_accuracy": 0.16222715824842454,
+      "num_tokens": 7932345.0,
+      "step": 4355
+    },
+    {
+      "entropy": 5.505369853973389,
+      "epoch": 3.612261806130903,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00040512284456122407,
+      "loss": 5.2236,
+      "mean_token_accuracy": 0.17660728394985198,
+      "num_tokens": 7942800.0,
+      "step": 4360
+    },
+    {
+      "entropy": 5.410261583328247,
+      "epoch": 3.616404308202154,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00040486201710340016,
+      "loss": 5.1287,
+      "mean_token_accuracy": 0.1859680861234665,
+      "num_tokens": 7951094.0,
+      "step": 4365
+    },
+    {
+      "entropy": 5.429905796051026,
+      "epoch": 3.6205468102734053,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040460092769969654,
+      "loss": 5.1947,
+      "mean_token_accuracy": 0.17089750617742538,
+      "num_tokens": 7960652.0,
+      "step": 4370
+    },
+    {
+      "entropy": 5.518308162689209,
+      "epoch": 3.624689312344656,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004043395768767592,
+      "loss": 5.2977,
+      "mean_token_accuracy": 0.16983983814716339,
+      "num_tokens": 7969350.0,
+      "step": 4375
+    },
+    {
+      "entropy": 5.475090789794922,
+      "epoch": 3.628831814415907,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004040779651617612,
+      "loss": 5.1831,
+      "mean_token_accuracy": 0.1762356474995613,
+      "num_tokens": 7978969.0,
+      "step": 4380
+    },
+    {
+      "entropy": 5.422111892700196,
+      "epoch": 3.632974316487158,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040381609308240207,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.1777448311448097,
+      "num_tokens": 7988531.0,
+      "step": 4385
+    },
+    {
+      "entropy": 5.423072242736817,
+      "epoch": 3.6371168185584093,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040355396116690634,
+      "loss": 5.1864,
+      "mean_token_accuracy": 0.17186058908700944,
+      "num_tokens": 7996576.0,
+      "step": 4390
+    },
+    {
+      "entropy": 5.435235500335693,
+      "epoch": 3.6412593206296604,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004032915699440227,
+      "loss": 5.2216,
+      "mean_token_accuracy": 0.17088689655065536,
+      "num_tokens": 8006279.0,
+      "step": 4395
+    },
+    {
+      "entropy": 5.496079921722412,
+      "epoch": 3.6454018227009115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000403028919943023,
+      "loss": 5.2049,
+      "mean_token_accuracy": 0.17314011603593826,
+      "num_tokens": 8015476.0,
+      "step": 4400
+    },
+    {
+      "entropy": 5.474205350875854,
+      "epoch": 3.6495443247721626,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004027660116937009,
+      "loss": 5.2326,
+      "mean_token_accuracy": 0.17077937126159667,
+      "num_tokens": 8025450.0,
+      "step": 4405
+    },
+    {
+      "entropy": 5.4402251720428465,
+      "epoch": 3.6536868268434133,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004025028457263712,
+      "loss": 5.2238,
+      "mean_token_accuracy": 0.17810273319482803,
+      "num_tokens": 8034850.0,
+      "step": 4410
+    },
+    {
+      "entropy": 5.3980237483978275,
+      "epoch": 3.6578293289146644,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004022394225718684,
+      "loss": 5.1709,
+      "mean_token_accuracy": 0.17368220686912536,
+      "num_tokens": 8044526.0,
+      "step": 4415
+    },
+    {
+      "entropy": 5.446775197982788,
+      "epoch": 3.6619718309859155,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004019757427615456,
+      "loss": 5.1341,
+      "mean_token_accuracy": 0.17317759096622468,
+      "num_tokens": 8054033.0,
+      "step": 4420
+    },
+    {
+      "entropy": 5.478370094299317,
+      "epoch": 3.6661143330571666,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0004017118068272739,
+      "loss": 5.2298,
+      "mean_token_accuracy": 0.17926038503646852,
+      "num_tokens": 8063535.0,
+      "step": 4425
+    },
+    {
+      "entropy": 5.495908880233765,
+      "epoch": 3.6702568351284177,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040144761530144096,
+      "loss": 5.2181,
+      "mean_token_accuracy": 0.18870080262422562,
+      "num_tokens": 8073079.0,
+      "step": 4430
+    },
+    {
+      "entropy": 5.367459678649903,
+      "epoch": 3.6743993371996684,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00040118316871695,
+      "loss": 5.1505,
+      "mean_token_accuracy": 0.18230827152729034,
+      "num_tokens": 8082925.0,
+      "step": 4435
+    },
+    {
+      "entropy": 5.457099437713623,
+      "epoch": 3.6785418392709195,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040091846760721857,
+      "loss": 5.2466,
+      "mean_token_accuracy": 0.17278454601764678,
+      "num_tokens": 8092038.0,
+      "step": 4440
+    },
+    {
+      "entropy": 5.460009002685547,
+      "epoch": 3.6826843413421706,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040065351250617774,
+      "loss": 5.2137,
+      "mean_token_accuracy": 0.1679331600666046,
+      "num_tokens": 8101581.0,
+      "step": 4445
+    },
+    {
+      "entropy": 5.392482471466065,
+      "epoch": 3.6868268434134217,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00040038830394827107,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.17032679468393325,
+      "num_tokens": 8111392.0,
+      "step": 4450
+    },
+    {
+      "entropy": 5.5369532108306885,
+      "epoch": 3.690969345484673,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000400122842468453,
+      "loss": 5.2742,
+      "mean_token_accuracy": 0.16916199624538422,
+      "num_tokens": 8120941.0,
+      "step": 4455
+    },
+    {
+      "entropy": 5.403111267089844,
+      "epoch": 3.695111847555924,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003998571286021884,
+      "loss": 5.1822,
+      "mean_token_accuracy": 0.1721450611948967,
+      "num_tokens": 8129983.0,
+      "step": 4460
+    },
+    {
+      "entropy": 5.482623481750489,
+      "epoch": 3.699254349627175,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003995911628854512,
+      "loss": 5.3064,
+      "mean_token_accuracy": 0.1740827202796936,
+      "num_tokens": 8139428.0,
+      "step": 4465
+    },
+    {
+      "entropy": 5.509563970565796,
+      "epoch": 3.7033968516984257,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003993249458547234,
+      "loss": 5.2302,
+      "mean_token_accuracy": 0.16980735808610917,
+      "num_tokens": 8148520.0,
+      "step": 4470
+    },
+    {
+      "entropy": 5.3746521949768065,
+      "epoch": 3.707539353769677,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039905847804699363,
+      "loss": 5.0676,
+      "mean_token_accuracy": 0.18766331672668457,
+      "num_tokens": 8156908.0,
+      "step": 4475
+    },
+    {
+      "entropy": 5.446433591842651,
+      "epoch": 3.711681855840928,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00039879175999975677,
+      "loss": 5.2156,
+      "mean_token_accuracy": 0.18001207262277602,
+      "num_tokens": 8165677.0,
+      "step": 4480
+    },
+    {
+      "entropy": 5.386814975738526,
+      "epoch": 3.715824357912179,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00039852479225101217,
+      "loss": 5.1883,
+      "mean_token_accuracy": 0.17356531620025634,
+      "num_tokens": 8174786.0,
+      "step": 4485
+    },
+    {
+      "entropy": 5.454575872421264,
+      "epoch": 3.71996685998343,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00039825757533926305,
+      "loss": 5.2484,
+      "mean_token_accuracy": 0.16340016275644303,
+      "num_tokens": 8184150.0,
+      "step": 4490
+    },
+    {
+      "entropy": 5.4400050163269045,
+      "epoch": 3.724109362054681,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039799010980351494,
+      "loss": 5.1455,
+      "mean_token_accuracy": 0.1879016414284706,
+      "num_tokens": 8192257.0,
+      "step": 4495
+    },
+    {
+      "entropy": 5.452324247360229,
+      "epoch": 3.728251864125932,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00039772239618327535,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.1748780906200409,
+      "num_tokens": 8201041.0,
+      "step": 4500
+    },
+    {
+      "epoch": 3.728251864125932,
+      "eval_entropy": 5.297962182620441,
+      "eval_loss": 5.854063987731934,
+      "eval_mean_token_accuracy": 0.15576711011085428,
+      "eval_num_tokens": 8201041.0,
+      "eval_runtime": 2.7449,
+      "eval_samples_per_second": 1365.057,
+      "eval_steps_per_second": 170.86,
+      "step": 4500
+    },
+    {
+      "entropy": 5.430630874633789,
+      "epoch": 3.732394366197183,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00039745443501855156,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18020173758268357,
+      "num_tokens": 8209881.0,
+      "step": 4505
+    },
+    {
+      "entropy": 5.426507759094238,
+      "epoch": 3.736536868268434,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039718622684985075,
+      "loss": 5.2198,
+      "mean_token_accuracy": 0.1857784554362297,
+      "num_tokens": 8218504.0,
+      "step": 4510
+    },
+    {
+      "entropy": 5.427436780929566,
+      "epoch": 3.7406793703396852,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000396917772218178,
+      "loss": 5.0397,
+      "mean_token_accuracy": 0.19483556151390075,
+      "num_tokens": 8226785.0,
+      "step": 4515
+    },
+    {
+      "entropy": 5.463036251068115,
+      "epoch": 3.7448218724109363,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0003966490716650357,
+      "loss": 5.1879,
+      "mean_token_accuracy": 0.1808652698993683,
+      "num_tokens": 8236092.0,
+      "step": 4520
+    },
+    {
+      "entropy": 5.398115777969361,
+      "epoch": 3.7489643744821874,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039638012573242225,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18426763266324997,
+      "num_tokens": 8245297.0,
+      "step": 4525
+    },
+    {
+      "entropy": 5.498414611816406,
+      "epoch": 3.7531068765534386,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003961109349628309,
+      "loss": 5.2544,
+      "mean_token_accuracy": 0.16994525790214537,
+      "num_tokens": 8254772.0,
+      "step": 4530
+    },
+    {
+      "entropy": 5.488787031173706,
+      "epoch": 3.757249378624689,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000395841499899249,
+      "loss": 5.3168,
+      "mean_token_accuracy": 0.1684611275792122,
+      "num_tokens": 8264310.0,
+      "step": 4535
+    },
+    {
+      "entropy": 5.4844201564788815,
+      "epoch": 3.7613918806959403,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00039557182108515624,
+      "loss": 5.2197,
+      "mean_token_accuracy": 0.1802253693342209,
+      "num_tokens": 8274184.0,
+      "step": 4540
+    },
+    {
+      "entropy": 5.40406289100647,
+      "epoch": 3.7655343827671914,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039530189906452457,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.18066346347332002,
+      "num_tokens": 8283151.0,
+      "step": 4545
+    },
+    {
+      "entropy": 5.490919494628907,
+      "epoch": 3.7696768848384425,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00039503173438181605,
+      "loss": 5.2375,
+      "mean_token_accuracy": 0.16958207488059998,
+      "num_tokens": 8292574.0,
+      "step": 4550
+    },
+    {
+      "entropy": 5.37688570022583,
+      "epoch": 3.773819386909693,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039476132758198236,
+      "loss": 5.1589,
+      "mean_token_accuracy": 0.17906700521707536,
+      "num_tokens": 8301281.0,
+      "step": 4555
+    },
+    {
+      "entropy": 5.404768991470337,
+      "epoch": 3.7779618889809443,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039449067921046353,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.184201979637146,
+      "num_tokens": 8310201.0,
+      "step": 4560
+    },
+    {
+      "entropy": 5.5153802871704105,
+      "epoch": 3.7821043910521954,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00039421978981318703,
+      "loss": 5.243,
+      "mean_token_accuracy": 0.17428653091192245,
+      "num_tokens": 8320369.0,
+      "step": 4565
+    },
+    {
+      "entropy": 5.490174674987793,
+      "epoch": 3.7862468931234465,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00039394865993656625,
+      "loss": 5.2332,
+      "mean_token_accuracy": 0.17829314470291138,
+      "num_tokens": 8329519.0,
+      "step": 4570
+    },
+    {
+      "entropy": 5.4183516025543215,
+      "epoch": 3.7903893951946976,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003936772901274999,
+      "loss": 5.2233,
+      "mean_token_accuracy": 0.16786337196826934,
+      "num_tokens": 8338282.0,
+      "step": 4575
+    },
+    {
+      "entropy": 5.422275066375732,
+      "epoch": 3.7945318972659487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003934056809333705,
+      "loss": 5.2367,
+      "mean_token_accuracy": 0.1760738953948021,
+      "num_tokens": 8346861.0,
+      "step": 4580
+    },
+    {
+      "entropy": 5.493864250183106,
+      "epoch": 3.7986743993372,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039313383290204333,
+      "loss": 5.2689,
+      "mean_token_accuracy": 0.16675272732973098,
+      "num_tokens": 8356078.0,
+      "step": 4585
+    },
+    {
+      "entropy": 5.449766826629639,
+      "epoch": 3.802816901408451,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003928617465818658,
+      "loss": 5.2279,
+      "mean_token_accuracy": 0.16728012412786483,
+      "num_tokens": 8365487.0,
+      "step": 4590
+    },
+    {
+      "entropy": 5.477828598022461,
+      "epoch": 3.8069594034797016,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00039258942252166554,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.17344195693731307,
+      "num_tokens": 8374622.0,
+      "step": 4595
+    },
+    {
+      "entropy": 5.467281007766724,
+      "epoch": 3.8111019055509527,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003923168612707502,
+      "loss": 5.1437,
+      "mean_token_accuracy": 0.1838704138994217,
+      "num_tokens": 8383312.0,
+      "step": 4600
+    },
+    {
+      "entropy": 5.375951862335205,
+      "epoch": 3.815244407622204,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003920440633789053,
+      "loss": 5.1668,
+      "mean_token_accuracy": 0.17426021844148637,
+      "num_tokens": 8391987.0,
+      "step": 4605
+    },
+    {
+      "entropy": 5.411648225784302,
+      "epoch": 3.819386909693455,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039177102939639424,
+      "loss": 5.1782,
+      "mean_token_accuracy": 0.17309755831956863,
+      "num_tokens": 8401263.0,
+      "step": 4610
+    },
+    {
+      "entropy": 5.520602798461914,
+      "epoch": 3.8235294117647056,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003914977598739563,
+      "loss": 5.1998,
+      "mean_token_accuracy": 0.18663258850574493,
+      "num_tokens": 8410110.0,
+      "step": 4615
+    },
+    {
+      "entropy": 5.505752420425415,
+      "epoch": 3.8276719138359567,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003912242553628059,
+      "loss": 5.2827,
+      "mean_token_accuracy": 0.16937017440795898,
+      "num_tokens": 8419321.0,
+      "step": 4620
+    },
+    {
+      "entropy": 5.470319938659668,
+      "epoch": 3.831814415907208,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003909505164146318,
+      "loss": 5.2512,
+      "mean_token_accuracy": 0.17635022550821305,
+      "num_tokens": 8428376.0,
+      "step": 4625
+    },
+    {
+      "entropy": 5.446829080581665,
+      "epoch": 3.835956917978459,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000390676543581595,
+      "loss": 5.1826,
+      "mean_token_accuracy": 0.1743323564529419,
+      "num_tokens": 8437263.0,
+      "step": 4630
+    },
+    {
+      "entropy": 5.361465311050415,
+      "epoch": 3.84009942004971,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003904023374163289,
+      "loss": 5.1943,
+      "mean_token_accuracy": 0.17949013262987137,
+      "num_tokens": 8445889.0,
+      "step": 4635
+    },
+    {
+      "entropy": 5.503735971450806,
+      "epoch": 3.844241922120961,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003901278984719372,
+      "loss": 5.3739,
+      "mean_token_accuracy": 0.16415481567382811,
+      "num_tokens": 8456086.0,
+      "step": 4640
+    },
+    {
+      "entropy": 5.492273569107056,
+      "epoch": 3.8483844241922123,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00038985322730199326,
+      "loss": 5.2018,
+      "mean_token_accuracy": 0.1795567825436592,
+      "num_tokens": 8465150.0,
+      "step": 4645
+    },
+    {
+      "entropy": 5.431647396087646,
+      "epoch": 3.8525269262634634,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003895783244605389,
+      "loss": 5.2783,
+      "mean_token_accuracy": 0.1720671087503433,
+      "num_tokens": 8474172.0,
+      "step": 4650
+    },
+    {
+      "entropy": 5.404905462265015,
+      "epoch": 3.856669428334714,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00038930319050208315,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.18708953112363816,
+      "num_tokens": 8483636.0,
+      "step": 4655
+    },
+    {
+      "entropy": 5.408392810821534,
+      "epoch": 3.860811930405965,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00038902782598160127,
+      "loss": 5.1091,
+      "mean_token_accuracy": 0.1881578117609024,
+      "num_tokens": 8491560.0,
+      "step": 4660
+    },
+    {
+      "entropy": 5.484521150588989,
+      "epoch": 3.8649544324772163,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00038875223145453346,
+      "loss": 5.4046,
+      "mean_token_accuracy": 0.17662398070096968,
+      "num_tokens": 8501685.0,
+      "step": 4665
+    },
+    {
+      "entropy": 5.551066589355469,
+      "epoch": 3.8690969345484674,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003884764074767842,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.17176942974328996,
+      "num_tokens": 8510580.0,
+      "step": 4670
+    },
+    {
+      "entropy": 5.477302551269531,
+      "epoch": 3.873239436619718,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003882003546047205,
+      "loss": 5.2013,
+      "mean_token_accuracy": 0.17522621154785156,
+      "num_tokens": 8519595.0,
+      "step": 4675
+    },
+    {
+      "entropy": 5.506098508834839,
+      "epoch": 3.877381938690969,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00038792407339517123,
+      "loss": 5.2786,
+      "mean_token_accuracy": 0.17400375306606292,
+      "num_tokens": 8529118.0,
+      "step": 4680
+    },
+    {
+      "entropy": 5.507658243179321,
+      "epoch": 3.8815244407622203,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00038764756440542574,
+      "loss": 5.2477,
+      "mean_token_accuracy": 0.17185091674327851,
+      "num_tokens": 8539322.0,
+      "step": 4685
+    },
+    {
+      "entropy": 5.454025650024414,
+      "epoch": 3.8856669428334714,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038737082819323285,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.17740404605865479,
+      "num_tokens": 8548707.0,
+      "step": 4690
+    },
+    {
+      "entropy": 5.427890157699585,
+      "epoch": 3.8898094449047225,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00038709386531679974,
+      "loss": 5.2576,
+      "mean_token_accuracy": 0.1718251511454582,
+      "num_tokens": 8557500.0,
+      "step": 4695
+    },
+    {
+      "entropy": 5.436252593994141,
+      "epoch": 3.8939519469759736,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00038681667633479086,
+      "loss": 5.2621,
+      "mean_token_accuracy": 0.1682343602180481,
+      "num_tokens": 8567465.0,
+      "step": 4700
+    },
+    {
+      "entropy": 5.381856250762939,
+      "epoch": 3.8980944490472247,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038653926180632665,
+      "loss": 5.1165,
+      "mean_token_accuracy": 0.18321423530578612,
+      "num_tokens": 8576680.0,
+      "step": 4705
+    },
+    {
+      "entropy": 5.495894527435302,
+      "epoch": 3.902236951118476,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00038626162229098257,
+      "loss": 5.2631,
+      "mean_token_accuracy": 0.16617788672447203,
+      "num_tokens": 8585539.0,
+      "step": 4710
+    },
+    {
+      "entropy": 5.400326347351074,
+      "epoch": 3.9063794531897265,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003859837583487877,
+      "loss": 5.1007,
+      "mean_token_accuracy": 0.18613590002059938,
+      "num_tokens": 8593598.0,
+      "step": 4715
+    },
+    {
+      "entropy": 5.4148589134216305,
+      "epoch": 3.9105219552609776,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003857056705402241,
+      "loss": 5.236,
+      "mean_token_accuracy": 0.1721765860915184,
+      "num_tokens": 8603440.0,
+      "step": 4720
+    },
+    {
+      "entropy": 5.384281969070434,
+      "epoch": 3.9146644573322287,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003854273594262253,
+      "loss": 5.0591,
+      "mean_token_accuracy": 0.1858549162745476,
+      "num_tokens": 8612490.0,
+      "step": 4725
+    },
+    {
+      "entropy": 5.387153816223145,
+      "epoch": 3.91880695940348,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003851488255681752,
+      "loss": 5.1508,
+      "mean_token_accuracy": 0.17980385273694993,
+      "num_tokens": 8621994.0,
+      "step": 4730
+    },
+    {
+      "entropy": 5.462166833877563,
+      "epoch": 3.922949461474731,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000384870069527907,
+      "loss": 5.2269,
+      "mean_token_accuracy": 0.16994049549102783,
+      "num_tokens": 8631185.0,
+      "step": 4735
+    },
+    {
+      "entropy": 5.445327711105347,
+      "epoch": 3.9270919635459816,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00038459109186770213,
+      "loss": 5.1201,
+      "mean_token_accuracy": 0.18937034606933595,
+      "num_tokens": 8639018.0,
+      "step": 4740
+    },
+    {
+      "entropy": 5.365725660324097,
+      "epoch": 3.9312344656172327,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00038431189315028905,
+      "loss": 5.1293,
+      "mean_token_accuracy": 0.1805494785308838,
+      "num_tokens": 8647672.0,
+      "step": 4745
+    },
+    {
+      "entropy": 5.42286114692688,
+      "epoch": 3.9353769676884838,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003840324739388419,
+      "loss": 5.2659,
+      "mean_token_accuracy": 0.16662627309560776,
+      "num_tokens": 8656638.0,
+      "step": 4750
+    },
+    {
+      "entropy": 5.4803203582763675,
+      "epoch": 3.939519469759735,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00038375283479698,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.18231208473443986,
+      "num_tokens": 8666167.0,
+      "step": 4755
+    },
+    {
+      "entropy": 5.505121231079102,
+      "epoch": 3.943661971830986,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003834729762887659,
+      "loss": 5.3067,
+      "mean_token_accuracy": 0.16447765678167342,
+      "num_tokens": 8676435.0,
+      "step": 4760
+    },
+    {
+      "entropy": 5.413615751266479,
+      "epoch": 3.947804473902237,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003831928989787049,
+      "loss": 5.1808,
+      "mean_token_accuracy": 0.18012969940900803,
+      "num_tokens": 8686011.0,
+      "step": 4765
+    },
+    {
+      "entropy": 5.463970613479614,
+      "epoch": 3.951946975973488,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003829126034317435,
+      "loss": 5.1959,
+      "mean_token_accuracy": 0.17213619947433473,
+      "num_tokens": 8695063.0,
+      "step": 4770
+    },
+    {
+      "entropy": 5.517300796508789,
+      "epoch": 3.956089478044739,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003826320902132684,
+      "loss": 5.299,
+      "mean_token_accuracy": 0.16880902647972107,
+      "num_tokens": 8704585.0,
+      "step": 4775
+    },
+    {
+      "entropy": 5.469470262527466,
+      "epoch": 3.96023198011599,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038235135988910545,
+      "loss": 5.2111,
+      "mean_token_accuracy": 0.17501715570688248,
+      "num_tokens": 8714097.0,
+      "step": 4780
+    },
+    {
+      "entropy": 5.433980226516724,
+      "epoch": 3.964374482187241,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00038207041302551844,
+      "loss": 5.1327,
+      "mean_token_accuracy": 0.1802523225545883,
+      "num_tokens": 8722890.0,
+      "step": 4785
+    },
+    {
+      "entropy": 5.36038613319397,
+      "epoch": 3.968516984258492,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003817892501892078,
+      "loss": 5.1474,
+      "mean_token_accuracy": 0.18226009160280227,
+      "num_tokens": 8732046.0,
+      "step": 4790
+    },
+    {
+      "entropy": 5.385818529129028,
+      "epoch": 3.9726594863297433,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038150787194730977,
+      "loss": 5.1867,
+      "mean_token_accuracy": 0.18098812699317932,
+      "num_tokens": 8741750.0,
+      "step": 4795
+    },
+    {
+      "entropy": 5.49769434928894,
+      "epoch": 3.976801988400994,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000381226278867395,
+      "loss": 5.1585,
+      "mean_token_accuracy": 0.17722393125295638,
+      "num_tokens": 8750141.0,
+      "step": 4800
+    },
+    {
+      "entropy": 5.3994584560394285,
+      "epoch": 3.980944490472245,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00038094447151746746,
+      "loss": 5.0956,
+      "mean_token_accuracy": 0.18723244071006775,
+      "num_tokens": 8758567.0,
+      "step": 4805
+    },
+    {
+      "entropy": 5.376461982727051,
+      "epoch": 3.985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003806624504659635,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1782562255859375,
+      "num_tokens": 8767829.0,
+      "step": 4810
+    },
+    {
+      "entropy": 5.416551733016968,
+      "epoch": 3.9892294946147473,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003803802162817503,
+      "loss": 5.0891,
+      "mean_token_accuracy": 0.18413031548261644,
+      "num_tokens": 8776911.0,
+      "step": 4815
+    },
+    {
+      "entropy": 5.403548002243042,
+      "epoch": 3.9933719966859984,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000380097769534125,
+      "loss": 5.2011,
+      "mean_token_accuracy": 0.18309975266456605,
+      "num_tokens": 8786117.0,
+      "step": 4820
+    },
+    {
+      "entropy": 5.401311016082763,
+      "epoch": 3.9975144987572495,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003798151107928136,
+      "loss": 5.1436,
+      "mean_token_accuracy": 0.18381998240947722,
+      "num_tokens": 8795647.0,
+      "step": 4825
+    },
+    {
+      "entropy": 5.363515567779541,
+      "epoch": 4.001657000828501,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00037953224062796967,
+      "loss": 5.1114,
+      "mean_token_accuracy": 0.18405449539422988,
+      "num_tokens": 8803480.0,
+      "step": 4830
+    },
+    {
+      "entropy": 5.504069137573242,
+      "epoch": 4.005799502899752,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003792491596101733,
+      "loss": 4.9454,
+      "mean_token_accuracy": 0.19255731254816055,
+      "num_tokens": 8812825.0,
+      "step": 4835
+    },
+    {
+      "entropy": 5.45196304321289,
+      "epoch": 4.009942004971003,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003789658683104298,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19097152799367906,
+      "num_tokens": 8821911.0,
+      "step": 4840
+    },
+    {
+      "entropy": 5.429521989822388,
+      "epoch": 4.014084507042254,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037868236730016866,
+      "loss": 4.9518,
+      "mean_token_accuracy": 0.18948255032300948,
+      "num_tokens": 8830691.0,
+      "step": 4845
+    },
+    {
+      "entropy": 5.400455188751221,
+      "epoch": 4.018227009113504,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037839865715124234,
+      "loss": 4.9281,
+      "mean_token_accuracy": 0.19010053426027299,
+      "num_tokens": 8840410.0,
+      "step": 4850
+    },
+    {
+      "entropy": 5.374143838882446,
+      "epoch": 4.022369511184755,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00037811473843592534,
+      "loss": 4.9042,
+      "mean_token_accuracy": 0.19410175532102586,
+      "num_tokens": 8849662.0,
+      "step": 4855
+    },
+    {
+      "entropy": 5.4465690612792965,
+      "epoch": 4.026512013256006,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00037783061172691273,
+      "loss": 4.8985,
+      "mean_token_accuracy": 0.19412659406661986,
+      "num_tokens": 8858666.0,
+      "step": 4860
+    },
+    {
+      "entropy": 5.497456216812134,
+      "epoch": 4.0306545153272575,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003775462775973191,
+      "loss": 4.9611,
+      "mean_token_accuracy": 0.1847592905163765,
+      "num_tokens": 8867885.0,
+      "step": 4865
+    },
+    {
+      "entropy": 5.351856470108032,
+      "epoch": 4.034797017398509,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003772617366206773,
+      "loss": 4.9175,
+      "mean_token_accuracy": 0.19424951672554017,
+      "num_tokens": 8877458.0,
+      "step": 4870
+    },
+    {
+      "entropy": 5.363556432723999,
+      "epoch": 4.03893951946976,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037697698937093783,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.18704084753990174,
+      "num_tokens": 8886995.0,
+      "step": 4875
+    },
+    {
+      "entropy": 5.463095617294312,
+      "epoch": 4.043082021541011,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00037669203642246685,
+      "loss": 5.026,
+      "mean_token_accuracy": 0.18413490056991577,
+      "num_tokens": 8895224.0,
+      "step": 4880
+    },
+    {
+      "entropy": 5.4529016494750975,
+      "epoch": 4.047224523612262,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00037640687835004567,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.1925043895840645,
+      "num_tokens": 8905216.0,
+      "step": 4885
+    },
+    {
+      "entropy": 5.426698875427246,
+      "epoch": 4.051367025683513,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003761215157288692,
+      "loss": 4.9558,
+      "mean_token_accuracy": 0.19299548715353013,
+      "num_tokens": 8915493.0,
+      "step": 4890
+    },
+    {
+      "entropy": 5.362393617630005,
+      "epoch": 4.055509527754764,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00037583594913454514,
+      "loss": 4.925,
+      "mean_token_accuracy": 0.1959809884428978,
+      "num_tokens": 8924740.0,
+      "step": 4895
+    },
+    {
+      "entropy": 5.42564959526062,
+      "epoch": 4.059652029826015,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003755501791430925,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.18527257889509202,
+      "num_tokens": 8934726.0,
+      "step": 4900
+    },
+    {
+      "entropy": 5.448423719406128,
+      "epoch": 4.063794531897266,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00037526420633094044,
+      "loss": 4.9581,
+      "mean_token_accuracy": 0.18748125433921814,
+      "num_tokens": 8944301.0,
+      "step": 4905
+    },
+    {
+      "entropy": 5.449982643127441,
+      "epoch": 4.067937033968517,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037497803127492757,
+      "loss": 4.9881,
+      "mean_token_accuracy": 0.19187170565128325,
+      "num_tokens": 8953967.0,
+      "step": 4910
+    },
+    {
+      "entropy": 5.326543855667114,
+      "epoch": 4.072079536039768,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003746916545523001,
+      "loss": 4.8948,
+      "mean_token_accuracy": 0.19177066087722777,
+      "num_tokens": 8962983.0,
+      "step": 4915
+    },
+    {
+      "entropy": 5.381871175765991,
+      "epoch": 4.076222038111019,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003744050767407113,
+      "loss": 5.0191,
+      "mean_token_accuracy": 0.18154184073209761,
+      "num_tokens": 8972019.0,
+      "step": 4920
+    },
+    {
+      "entropy": 5.40556058883667,
+      "epoch": 4.08036454018227,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0003741182984182198,
+      "loss": 4.901,
+      "mean_token_accuracy": 0.20234887301921844,
+      "num_tokens": 8981751.0,
+      "step": 4925
+    },
+    {
+      "entropy": 5.3616517066955565,
+      "epoch": 4.084507042253521,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003738313201632889,
+      "loss": 4.8923,
+      "mean_token_accuracy": 0.19780989587306977,
+      "num_tokens": 8990330.0,
+      "step": 4930
+    },
+    {
+      "entropy": 5.314311408996582,
+      "epoch": 4.088649544324772,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003735441425547851,
+      "loss": 4.905,
+      "mean_token_accuracy": 0.19072338491678237,
+      "num_tokens": 8998366.0,
+      "step": 4935
+    },
+    {
+      "entropy": 5.290538501739502,
+      "epoch": 4.092792046396023,
+      "grad_norm": 1.828125,
+      "learning_rate": 0.00037325676617197697,
+      "loss": 4.8317,
+      "mean_token_accuracy": 0.20186650305986403,
+      "num_tokens": 9006881.0,
+      "step": 4940
+    },
+    {
+      "entropy": 5.323595571517944,
+      "epoch": 4.096934548467274,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0003729691915945342,
+      "loss": 4.8944,
+      "mean_token_accuracy": 0.19853760153055192,
+      "num_tokens": 9015415.0,
+      "step": 4945
+    },
+    {
+      "entropy": 5.40374059677124,
+      "epoch": 4.1010770505385254,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000372681419402526,
+      "loss": 4.9483,
+      "mean_token_accuracy": 0.19546929001808167,
+      "num_tokens": 9024578.0,
+      "step": 4950
+    },
+    {
+      "entropy": 5.381409311294556,
+      "epoch": 4.105219552609777,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003723934501764203,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.1867024227976799,
+      "num_tokens": 9032637.0,
+      "step": 4955
+    },
+    {
+      "entropy": 5.395318984985352,
+      "epoch": 4.109362054681028,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0003721052844970826,
+      "loss": 4.8913,
+      "mean_token_accuracy": 0.18718749284744263,
+      "num_tokens": 9041513.0,
+      "step": 4960
+    },
+    {
+      "entropy": 5.394489192962647,
+      "epoch": 4.113504556752279,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00037181692294577457,
+      "loss": 4.9155,
+      "mean_token_accuracy": 0.1854037255048752,
+      "num_tokens": 9051024.0,
+      "step": 4965
+    },
+    {
+      "entropy": 5.33848295211792,
+      "epoch": 4.117647058823529,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037152836610415284,
+      "loss": 4.8895,
+      "mean_token_accuracy": 0.19274405539035797,
+      "num_tokens": 9059494.0,
+      "step": 4970
+    },
+    {
+      "entropy": 5.31979193687439,
+      "epoch": 4.12178956089478,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00037123961455426836,
+      "loss": 4.7988,
+      "mean_token_accuracy": 0.19865831583738328,
+      "num_tokens": 9068166.0,
+      "step": 4975
+    },
+    {
+      "entropy": 5.391095542907715,
+      "epoch": 4.125932062966031,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00037095066887856434,
+      "loss": 4.907,
+      "mean_token_accuracy": 0.19333944320678711,
+      "num_tokens": 9077283.0,
+      "step": 4980
+    },
+    {
+      "entropy": 5.3755443572998045,
+      "epoch": 4.130074565037282,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003706615296598758,
+      "loss": 4.9332,
+      "mean_token_accuracy": 0.19493403136730195,
+      "num_tokens": 9086605.0,
+      "step": 4985
+    },
+    {
+      "entropy": 5.301020622253418,
+      "epoch": 4.134217067108533,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003703721974814282,
+      "loss": 4.9169,
+      "mean_token_accuracy": 0.19399153292179108,
+      "num_tokens": 9095567.0,
+      "step": 4990
+    },
+    {
+      "entropy": 5.282594537734985,
+      "epoch": 4.1383595691797845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00037008267292683615,
+      "loss": 4.9012,
+      "mean_token_accuracy": 0.19265301078557967,
+      "num_tokens": 9104457.0,
+      "step": 4995
+    },
+    {
+      "entropy": 5.398877716064453,
+      "epoch": 4.142502071251036,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036979295658010227,
+      "loss": 4.9533,
+      "mean_token_accuracy": 0.20162091553211212,
+      "num_tokens": 9113945.0,
+      "step": 5000
+    },
+    {
+      "epoch": 4.142502071251036,
+      "eval_entropy": 5.273210916946184,
+      "eval_loss": 5.83656120300293,
+      "eval_mean_token_accuracy": 0.15772452866281272,
+      "eval_num_tokens": 9113945.0,
+      "eval_runtime": 2.9415,
+      "eval_samples_per_second": 1273.844,
+      "eval_steps_per_second": 159.443,
+      "step": 5000
+    },
+    {
+      "entropy": 5.424594402313232,
+      "epoch": 4.146644573322287,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003695030490256161,
+      "loss": 5.0303,
+      "mean_token_accuracy": 0.18944208920001984,
+      "num_tokens": 9122996.0,
+      "step": 5005
+    },
+    {
+      "entropy": 5.355675983428955,
+      "epoch": 4.150787075393538,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000369212950848153,
+      "loss": 4.8793,
+      "mean_token_accuracy": 0.1962927296757698,
+      "num_tokens": 9132079.0,
+      "step": 5010
+    },
+    {
+      "entropy": 5.384340238571167,
+      "epoch": 4.154929577464789,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003689226626328725,
+      "loss": 5.0058,
+      "mean_token_accuracy": 0.19004727751016617,
+      "num_tokens": 9141335.0,
+      "step": 5015
+    },
+    {
+      "entropy": 5.442283582687378,
+      "epoch": 4.15907207953604,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00036863218496531767,
+      "loss": 5.0264,
+      "mean_token_accuracy": 0.18990386426448821,
+      "num_tokens": 9150049.0,
+      "step": 5020
+    },
+    {
+      "entropy": 5.409811115264892,
+      "epoch": 4.163214581607291,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003683415184314139,
+      "loss": 4.9057,
+      "mean_token_accuracy": 0.19072521328926087,
+      "num_tokens": 9159245.0,
+      "step": 5025
+    },
+    {
+      "entropy": 5.281745195388794,
+      "epoch": 4.167357083678542,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00036805066361746716,
+      "loss": 4.9432,
+      "mean_token_accuracy": 0.19057238101959229,
+      "num_tokens": 9167892.0,
+      "step": 5030
+    },
+    {
+      "entropy": 5.262811374664307,
+      "epoch": 4.1714995857497925,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036775962111016346,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.19675376862287522,
+      "num_tokens": 9176067.0,
+      "step": 5035
+    },
+    {
+      "entropy": 5.335107898712158,
+      "epoch": 4.175642087821044,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036746839149656734,
+      "loss": 4.9032,
+      "mean_token_accuracy": 0.19636716991662978,
+      "num_tokens": 9185318.0,
+      "step": 5040
+    },
+    {
+      "entropy": 5.338614749908447,
+      "epoch": 4.179784589892295,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003671769753641207,
+      "loss": 4.9605,
+      "mean_token_accuracy": 0.19530149400234223,
+      "num_tokens": 9194885.0,
+      "step": 5045
+    },
+    {
+      "entropy": 5.349650192260742,
+      "epoch": 4.183927091963546,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00036688537330064187,
+      "loss": 4.987,
+      "mean_token_accuracy": 0.19436514377593994,
+      "num_tokens": 9203906.0,
+      "step": 5050
+    },
+    {
+      "entropy": 5.318757629394531,
+      "epoch": 4.188069594034797,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000366593585894324,
+      "loss": 4.8507,
+      "mean_token_accuracy": 0.2013680413365364,
+      "num_tokens": 9213351.0,
+      "step": 5055
+    },
+    {
+      "entropy": 5.347932624816894,
+      "epoch": 4.192212096106048,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003663016137337341,
+      "loss": 4.9278,
+      "mean_token_accuracy": 0.18784158080816268,
+      "num_tokens": 9222191.0,
+      "step": 5060
+    },
+    {
+      "entropy": 5.372864198684693,
+      "epoch": 4.196354598177299,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00036600945740781197,
+      "loss": 4.9668,
+      "mean_token_accuracy": 0.1919815331697464,
+      "num_tokens": 9231517.0,
+      "step": 5065
+    },
+    {
+      "entropy": 5.393643712997436,
+      "epoch": 4.20049710024855,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036571711750586896,
+      "loss": 4.9891,
+      "mean_token_accuracy": 0.19960682690143586,
+      "num_tokens": 9241208.0,
+      "step": 5070
+    },
+    {
+      "entropy": 5.391959381103516,
+      "epoch": 4.204639602319801,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003654245946175864,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19324131309986115,
+      "num_tokens": 9250237.0,
+      "step": 5075
+    },
+    {
+      "entropy": 5.37893590927124,
+      "epoch": 4.2087821043910525,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00036513188933301504,
+      "loss": 5.0399,
+      "mean_token_accuracy": 0.18783097416162492,
+      "num_tokens": 9260273.0,
+      "step": 5080
+    },
+    {
+      "entropy": 5.378773164749146,
+      "epoch": 4.212924606462304,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003648390022425734,
+      "loss": 4.8996,
+      "mean_token_accuracy": 0.19140231609344482,
+      "num_tokens": 9268878.0,
+      "step": 5085
+    },
+    {
+      "entropy": 5.325588417053223,
+      "epoch": 4.217067108533554,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003645459339370468,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19706592857837676,
+      "num_tokens": 9276324.0,
+      "step": 5090
+    },
+    {
+      "entropy": 5.312953901290894,
+      "epoch": 4.221209610604805,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036425268500758594,
+      "loss": 4.9725,
+      "mean_token_accuracy": 0.1936806783080101,
+      "num_tokens": 9285052.0,
+      "step": 5095
+    },
+    {
+      "entropy": 5.354986000061035,
+      "epoch": 4.225352112676056,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036395925604570614,
+      "loss": 4.8763,
+      "mean_token_accuracy": 0.20042537599802018,
+      "num_tokens": 9293324.0,
+      "step": 5100
+    },
+    {
+      "entropy": 5.3900477409362795,
+      "epoch": 4.229494614747307,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003636656476432854,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19263672083616257,
+      "num_tokens": 9302131.0,
+      "step": 5105
+    },
+    {
+      "entropy": 5.263408470153808,
+      "epoch": 4.233637116818558,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003633718603925642,
+      "loss": 4.862,
+      "mean_token_accuracy": 0.19388986378908157,
+      "num_tokens": 9311128.0,
+      "step": 5110
+    },
+    {
+      "entropy": 5.420498418807983,
+      "epoch": 4.237779618889809,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0003630778948861434,
+      "loss": 4.9352,
+      "mean_token_accuracy": 0.1895424723625183,
+      "num_tokens": 9319849.0,
+      "step": 5115
+    },
+    {
+      "entropy": 5.336805248260498,
+      "epoch": 4.2419221209610605,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003627837517169836,
+      "loss": 4.9458,
+      "mean_token_accuracy": 0.18560263216495515,
+      "num_tokens": 9328355.0,
+      "step": 5120
+    },
+    {
+      "entropy": 5.352609777450562,
+      "epoch": 4.246064623032312,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003624894314784037,
+      "loss": 4.9236,
+      "mean_token_accuracy": 0.18928787410259246,
+      "num_tokens": 9337562.0,
+      "step": 5125
+    },
+    {
+      "entropy": 5.323793935775757,
+      "epoch": 4.250207125103563,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003621949347640797,
+      "loss": 4.9315,
+      "mean_token_accuracy": 0.196185165643692,
+      "num_tokens": 9347851.0,
+      "step": 5130
+    },
+    {
+      "entropy": 5.398552274703979,
+      "epoch": 4.254349627174814,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003619002621680439,
+      "loss": 4.9325,
+      "mean_token_accuracy": 0.19673411697149276,
+      "num_tokens": 9356524.0,
+      "step": 5135
+    },
+    {
+      "entropy": 5.4241108894348145,
+      "epoch": 4.258492129246065,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003616054142846829,
+      "loss": 5.0307,
+      "mean_token_accuracy": 0.1882170706987381,
+      "num_tokens": 9365521.0,
+      "step": 5140
+    },
+    {
+      "entropy": 5.301144218444824,
+      "epoch": 4.262634631317316,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003613103917087371,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19470559656620026,
+      "num_tokens": 9374088.0,
+      "step": 5145
+    },
+    {
+      "entropy": 5.345515966415405,
+      "epoch": 4.266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003610151950352994,
+      "loss": 4.9794,
+      "mean_token_accuracy": 0.19499585926532745,
+      "num_tokens": 9382683.0,
+      "step": 5150
+    },
+    {
+      "entropy": 5.306409788131714,
+      "epoch": 4.270919635459817,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0003607198248598137,
+      "loss": 4.9063,
+      "mean_token_accuracy": 0.194849793612957,
+      "num_tokens": 9391790.0,
+      "step": 5155
+    },
+    {
+      "entropy": 5.414876556396484,
+      "epoch": 4.2750621375310685,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003604242817780739,
+      "loss": 4.9901,
+      "mean_token_accuracy": 0.19321189671754838,
+      "num_tokens": 9400234.0,
+      "step": 5160
+    },
+    {
+      "entropy": 5.350374364852906,
+      "epoch": 4.27920463960232,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036012856638622273,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19192621409893035,
+      "num_tokens": 9409513.0,
+      "step": 5165
+    },
+    {
+      "entropy": 5.292260932922363,
+      "epoch": 4.283347141673571,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003598326792807504,
+      "loss": 4.9821,
+      "mean_token_accuracy": 0.18258902430534363,
+      "num_tokens": 9418608.0,
+      "step": 5170
+    },
+    {
+      "entropy": 5.427756977081299,
+      "epoch": 4.287489643744822,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00035953662105849357,
+      "loss": 5.0092,
+      "mean_token_accuracy": 0.19452760964632035,
+      "num_tokens": 9428705.0,
+      "step": 5175
+    },
+    {
+      "entropy": 5.3185462474823,
+      "epoch": 4.291632145816073,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000359240392316634,
+      "loss": 4.9177,
+      "mean_token_accuracy": 0.18542011678218842,
+      "num_tokens": 9438149.0,
+      "step": 5180
+    },
+    {
+      "entropy": 5.330511379241943,
+      "epoch": 4.295774647887324,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003589439936526974,
+      "loss": 4.8709,
+      "mean_token_accuracy": 0.19628295600414275,
+      "num_tokens": 9447566.0,
+      "step": 5185
+    },
+    {
+      "entropy": 5.303903436660766,
+      "epoch": 4.299917149958575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003586474256645525,
+      "loss": 4.9641,
+      "mean_token_accuracy": 0.1915314257144928,
+      "num_tokens": 9458156.0,
+      "step": 5190
+    },
+    {
+      "entropy": 5.410308837890625,
+      "epoch": 4.304059652029826,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035835068895040905,
+      "loss": 5.0014,
+      "mean_token_accuracy": 0.19137390553951264,
+      "num_tokens": 9467388.0,
+      "step": 5195
+    },
+    {
+      "entropy": 5.388073253631592,
+      "epoch": 4.308202154101077,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00035805378410881753,
+      "loss": 4.9642,
+      "mean_token_accuracy": 0.1940509021282196,
+      "num_tokens": 9477515.0,
+      "step": 5200
+    },
+    {
+      "entropy": 5.389194107055664,
+      "epoch": 4.312344656172328,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003577567117386675,
+      "loss": 4.9854,
+      "mean_token_accuracy": 0.1937498316168785,
+      "num_tokens": 9485851.0,
+      "step": 5205
+    },
+    {
+      "entropy": 5.377271747589111,
+      "epoch": 4.3164871582435795,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003574594724391863,
+      "loss": 4.9773,
+      "mean_token_accuracy": 0.18631901144981383,
+      "num_tokens": 9495523.0,
+      "step": 5210
+    },
+    {
+      "entropy": 5.303675985336303,
+      "epoch": 4.32062966031483,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003571620668099382,
+      "loss": 4.9104,
+      "mean_token_accuracy": 0.19740363359451293,
+      "num_tokens": 9504195.0,
+      "step": 5215
+    },
+    {
+      "entropy": 5.377063655853272,
+      "epoch": 4.324772162386081,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003568644954508227,
+      "loss": 4.9616,
+      "mean_token_accuracy": 0.1940310388803482,
+      "num_tokens": 9513313.0,
+      "step": 5220
+    },
+    {
+      "entropy": 5.400073862075805,
+      "epoch": 4.328914664457332,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003565667589620739,
+      "loss": 5.0313,
+      "mean_token_accuracy": 0.18615816980600358,
+      "num_tokens": 9522387.0,
+      "step": 5225
+    },
+    {
+      "entropy": 5.380652332305909,
+      "epoch": 4.333057166528583,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003562688579442588,
+      "loss": 4.9582,
+      "mean_token_accuracy": 0.1893748164176941,
+      "num_tokens": 9531522.0,
+      "step": 5230
+    },
+    {
+      "entropy": 5.349949216842651,
+      "epoch": 4.337199668599834,
+      "grad_norm": 1.6171875,
+      "learning_rate": 0.00035597079299827625,
+      "loss": 4.9875,
+      "mean_token_accuracy": 0.18508986830711366,
+      "num_tokens": 9540248.0,
+      "step": 5235
+    },
+    {
+      "entropy": 5.3083008289337155,
+      "epoch": 4.341342170671085,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035567256472535585,
+      "loss": 4.9192,
+      "mean_token_accuracy": 0.19538334757089615,
+      "num_tokens": 9549850.0,
+      "step": 5240
+    },
+    {
+      "entropy": 5.325525283813477,
+      "epoch": 4.345484672742336,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003553741737270566,
+      "loss": 4.9167,
+      "mean_token_accuracy": 0.19581695050001144,
+      "num_tokens": 9558929.0,
+      "step": 5245
+    },
+    {
+      "entropy": 5.291470670700074,
+      "epoch": 4.3496271748135875,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00035507562060526574,
+      "loss": 4.9163,
+      "mean_token_accuracy": 0.19085376411676408,
+      "num_tokens": 9567627.0,
+      "step": 5250
+    },
+    {
+      "entropy": 5.419774055480957,
+      "epoch": 4.353769676884839,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035477690596219763,
+      "loss": 5.0513,
+      "mean_token_accuracy": 0.18172826021909713,
+      "num_tokens": 9576223.0,
+      "step": 5255
+    },
+    {
+      "entropy": 5.422041416168213,
+      "epoch": 4.35791217895609,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00035447803040039225,
+      "loss": 5.0178,
+      "mean_token_accuracy": 0.1885324940085411,
+      "num_tokens": 9585510.0,
+      "step": 5260
+    },
+    {
+      "entropy": 5.344962453842163,
+      "epoch": 4.362054681027341,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003541789945227143,
+      "loss": 4.9361,
+      "mean_token_accuracy": 0.1920488640666008,
+      "num_tokens": 9594843.0,
+      "step": 5265
+    },
+    {
+      "entropy": 5.401527786254883,
+      "epoch": 4.366197183098592,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00035387979893235184,
+      "loss": 4.9467,
+      "mean_token_accuracy": 0.19816664457321168,
+      "num_tokens": 9604142.0,
+      "step": 5270
+    },
+    {
+      "entropy": 5.339557313919068,
+      "epoch": 4.370339685169842,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003535804442328151,
+      "loss": 4.994,
+      "mean_token_accuracy": 0.197935588657856,
+      "num_tokens": 9613669.0,
+      "step": 5275
+    },
+    {
+      "entropy": 5.395236444473267,
+      "epoch": 4.374482187241093,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00035328093102793506,
+      "loss": 4.9843,
+      "mean_token_accuracy": 0.19234263002872468,
+      "num_tokens": 9623502.0,
+      "step": 5280
+    },
+    {
+      "entropy": 5.377492380142212,
+      "epoch": 4.378624689312344,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035298125992186283,
+      "loss": 4.9784,
+      "mean_token_accuracy": 0.1910512089729309,
+      "num_tokens": 9632041.0,
+      "step": 5285
+    },
+    {
+      "entropy": 5.310422706604004,
+      "epoch": 4.3827671913835955,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00035268143151906764,
+      "loss": 4.9853,
+      "mean_token_accuracy": 0.18939480930566788,
+      "num_tokens": 9641442.0,
+      "step": 5290
+    },
+    {
+      "entropy": 5.356794643402099,
+      "epoch": 4.386909693454847,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00035238144642433616,
+      "loss": 4.956,
+      "mean_token_accuracy": 0.19045386761426925,
+      "num_tokens": 9650857.0,
+      "step": 5295
+    },
+    {
+      "entropy": 5.461606073379516,
+      "epoch": 4.391052195526098,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000352081305242771,
+      "loss": 4.9906,
+      "mean_token_accuracy": 0.1938766911625862,
+      "num_tokens": 9659173.0,
+      "step": 5300
+    },
+    {
+      "entropy": 5.355851411819458,
+      "epoch": 4.395194697597349,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035178100857978994,
+      "loss": 4.9344,
+      "mean_token_accuracy": 0.19574909955263137,
+      "num_tokens": 9668114.0,
+      "step": 5305
+    },
+    {
+      "entropy": 5.261717939376831,
+      "epoch": 4.3993371996686,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00035148055704112405,
+      "loss": 4.9927,
+      "mean_token_accuracy": 0.1930756837129593,
+      "num_tokens": 9676628.0,
+      "step": 5310
+    },
+    {
+      "entropy": 5.305881071090698,
+      "epoch": 4.403479701739851,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003511799512328168,
+      "loss": 4.8897,
+      "mean_token_accuracy": 0.19723279178142547,
+      "num_tokens": 9685801.0,
+      "step": 5315
+    },
+    {
+      "entropy": 5.3678816795349125,
+      "epoch": 4.407622203811102,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003508791917612232,
+      "loss": 4.9677,
+      "mean_token_accuracy": 0.18847441226243972,
+      "num_tokens": 9694237.0,
+      "step": 5320
+    },
+    {
+      "entropy": 5.357159948348999,
+      "epoch": 4.411764705882353,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00035057827923300785,
+      "loss": 4.887,
+      "mean_token_accuracy": 0.1993523895740509,
+      "num_tokens": 9701904.0,
+      "step": 5325
+    },
+    {
+      "entropy": 5.308569765090942,
+      "epoch": 4.415907207953604,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035027721425514414,
+      "loss": 4.8661,
+      "mean_token_accuracy": 0.20139306634664536,
+      "num_tokens": 9710784.0,
+      "step": 5330
+    },
+    {
+      "entropy": 5.310255718231201,
+      "epoch": 4.4200497100248555,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003499759974349131,
+      "loss": 4.9969,
+      "mean_token_accuracy": 0.19186950027942656,
+      "num_tokens": 9720452.0,
+      "step": 5335
+    },
+    {
+      "entropy": 5.335639381408692,
+      "epoch": 4.424192212096106,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00034967462937990194,
+      "loss": 4.9619,
+      "mean_token_accuracy": 0.18502581119537354,
+      "num_tokens": 9729122.0,
+      "step": 5340
+    },
+    {
+      "entropy": 5.414971780776978,
+      "epoch": 4.428334714167357,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000349373110698003,
+      "loss": 5.0216,
+      "mean_token_accuracy": 0.18420466929674148,
+      "num_tokens": 9738756.0,
+      "step": 5345
+    },
+    {
+      "entropy": 5.406450796127319,
+      "epoch": 4.432477216238608,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003490714419974124,
+      "loss": 5.0113,
+      "mean_token_accuracy": 0.1904602199792862,
+      "num_tokens": 9748547.0,
+      "step": 5350
+    },
+    {
+      "entropy": 5.358873558044434,
+      "epoch": 4.436619718309859,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034876962388662885,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.18162461519241332,
+      "num_tokens": 9758421.0,
+      "step": 5355
+    },
+    {
+      "entropy": 5.277571201324463,
+      "epoch": 4.44076222038111,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003484676569744525,
+      "loss": 4.8563,
+      "mean_token_accuracy": 0.19333565086126328,
+      "num_tokens": 9766855.0,
+      "step": 5360
+    },
+    {
+      "entropy": 5.348770189285278,
+      "epoch": 4.444904722452361,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003481655418699836,
+      "loss": 4.9589,
+      "mean_token_accuracy": 0.1960444375872612,
+      "num_tokens": 9776157.0,
+      "step": 5365
+    },
+    {
+      "entropy": 5.279411029815674,
+      "epoch": 4.449047224523612,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00034786327918262126,
+      "loss": 4.8489,
+      "mean_token_accuracy": 0.2087496116757393,
+      "num_tokens": 9784386.0,
+      "step": 5370
+    },
+    {
+      "entropy": 5.354473733901978,
+      "epoch": 4.4531897265948635,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00034756086952206255,
+      "loss": 4.9009,
+      "mean_token_accuracy": 0.1958460658788681,
+      "num_tokens": 9793838.0,
+      "step": 5375
+    },
+    {
+      "entropy": 5.353402185440063,
+      "epoch": 4.457332228666115,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003472583134983005,
+      "loss": 4.9971,
+      "mean_token_accuracy": 0.19221619367599488,
+      "num_tokens": 9802595.0,
+      "step": 5380
+    },
+    {
+      "entropy": 5.384884357452393,
+      "epoch": 4.461474730737366,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00034695561172162396,
+      "loss": 4.9775,
+      "mean_token_accuracy": 0.19024742841720582,
+      "num_tokens": 9811309.0,
+      "step": 5385
+    },
+    {
+      "entropy": 5.2829090595245365,
+      "epoch": 4.465617232808617,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00034665276480261526,
+      "loss": 4.9139,
+      "mean_token_accuracy": 0.1915873184800148,
+      "num_tokens": 9820327.0,
+      "step": 5390
+    },
+    {
+      "entropy": 5.351649951934815,
+      "epoch": 4.469759734879867,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003463497733521499,
+      "loss": 4.9852,
+      "mean_token_accuracy": 0.18354866653680801,
+      "num_tokens": 9829588.0,
+      "step": 5395
+    },
+    {
+      "entropy": 5.42580213546753,
+      "epoch": 4.473902236951118,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003460466379813947,
+      "loss": 4.9887,
+      "mean_token_accuracy": 0.18973219394683838,
+      "num_tokens": 9838548.0,
+      "step": 5400
+    },
+    {
+      "entropy": 5.335280847549439,
+      "epoch": 4.478044739022369,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003457433593018068,
+      "loss": 5.0018,
+      "mean_token_accuracy": 0.18838239908218385,
+      "num_tokens": 9847925.0,
+      "step": 5405
+    },
+    {
+      "entropy": 5.396121597290039,
+      "epoch": 4.48218724109362,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034543993792513243,
+      "loss": 5.0169,
+      "mean_token_accuracy": 0.18753209412097932,
+      "num_tokens": 9856839.0,
+      "step": 5410
+    },
+    {
+      "entropy": 5.37349534034729,
+      "epoch": 4.486329743164871,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003451363744634057,
+      "loss": 4.978,
+      "mean_token_accuracy": 0.19382779747247697,
+      "num_tokens": 9866519.0,
+      "step": 5415
+    },
+    {
+      "entropy": 5.430073976516724,
+      "epoch": 4.4904722452361225,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00034483266952894725,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.19110478311777115,
+      "num_tokens": 9876866.0,
+      "step": 5420
+    },
+    {
+      "entropy": 5.440963220596314,
+      "epoch": 4.494614747307374,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0003445288237343632,
+      "loss": 5.0042,
+      "mean_token_accuracy": 0.1870105817914009,
+      "num_tokens": 9884639.0,
+      "step": 5425
+    },
+    {
+      "entropy": 5.332541465759277,
+      "epoch": 4.498757249378625,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003442248376925436,
+      "loss": 4.9715,
+      "mean_token_accuracy": 0.1879585549235344,
+      "num_tokens": 9893819.0,
+      "step": 5430
+    },
+    {
+      "entropy": 5.251445341110229,
+      "epoch": 4.502899751449876,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00034392071201666167,
+      "loss": 4.9164,
+      "mean_token_accuracy": 0.19130610078573226,
+      "num_tokens": 9902419.0,
+      "step": 5435
+    },
+    {
+      "entropy": 5.390727472305298,
+      "epoch": 4.507042253521127,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000343616447320172,
+      "loss": 4.9565,
+      "mean_token_accuracy": 0.19780462980270386,
+      "num_tokens": 9912434.0,
+      "step": 5440
+    },
+    {
+      "entropy": 5.366470289230347,
+      "epoch": 4.511184755592378,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003433120442168097,
+      "loss": 4.9114,
+      "mean_token_accuracy": 0.193550705909729,
+      "num_tokens": 9921800.0,
+      "step": 5445
+    },
+    {
+      "entropy": 5.316132354736328,
+      "epoch": 4.515327257663629,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034300750332058924,
+      "loss": 4.9803,
+      "mean_token_accuracy": 0.18861733824014665,
+      "num_tokens": 9930863.0,
+      "step": 5450
+    },
+    {
+      "entropy": 5.340768337249756,
+      "epoch": 4.51946975973488,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003427028252458028,
+      "loss": 4.995,
+      "mean_token_accuracy": 0.1959969326853752,
+      "num_tokens": 9940524.0,
+      "step": 5455
+    },
+    {
+      "entropy": 5.398335361480713,
+      "epoch": 4.5236122618061305,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.0003423980106070194,
+      "loss": 4.98,
+      "mean_token_accuracy": 0.18993111699819565,
+      "num_tokens": 9948949.0,
+      "step": 5460
+    },
+    {
+      "entropy": 5.363409519195557,
+      "epoch": 4.527754763877382,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003420930600190834,
+      "loss": 5.0007,
+      "mean_token_accuracy": 0.18487946093082427,
+      "num_tokens": 9958154.0,
+      "step": 5465
+    },
+    {
+      "entropy": 5.353360748291015,
+      "epoch": 4.531897265948633,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003417879740971135,
+      "loss": 4.8917,
+      "mean_token_accuracy": 0.19643958359956742,
+      "num_tokens": 9967023.0,
+      "step": 5470
+    },
+    {
+      "entropy": 5.392623519897461,
+      "epoch": 4.536039768019884,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003414827534565014,
+      "loss": 4.9908,
+      "mean_token_accuracy": 0.18982938379049302,
+      "num_tokens": 9976596.0,
+      "step": 5475
+    },
+    {
+      "entropy": 5.358148193359375,
+      "epoch": 4.540182270091135,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00034117739871291036,
+      "loss": 4.8992,
+      "mean_token_accuracy": 0.19934887886047364,
+      "num_tokens": 9985330.0,
+      "step": 5480
+    },
+    {
+      "entropy": 5.35659613609314,
+      "epoch": 4.544324772162386,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00034087191048227445,
+      "loss": 5.032,
+      "mean_token_accuracy": 0.1861831620335579,
+      "num_tokens": 9996053.0,
+      "step": 5485
+    },
+    {
+      "entropy": 5.335864496231079,
+      "epoch": 4.548467274233637,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003405662893807967,
+      "loss": 4.9445,
+      "mean_token_accuracy": 0.1877502605319023,
+      "num_tokens": 10005517.0,
+      "step": 5490
+    },
+    {
+      "entropy": 5.389253044128418,
+      "epoch": 4.552609776304888,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003402605360249482,
+      "loss": 5.0416,
+      "mean_token_accuracy": 0.18830080330371857,
+      "num_tokens": 10014354.0,
+      "step": 5495
+    },
+    {
+      "entropy": 5.3128773212432865,
+      "epoch": 4.556752278376139,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000339954651031467,
+      "loss": 4.9238,
+      "mean_token_accuracy": 0.19178629368543626,
+      "num_tokens": 10023194.0,
+      "step": 5500
+    },
+    {
+      "epoch": 4.556752278376139,
+      "eval_entropy": 5.195640559898003,
+      "eval_loss": 5.80400276184082,
+      "eval_mean_token_accuracy": 0.15982486544323882,
+      "eval_num_tokens": 10023194.0,
+      "eval_runtime": 2.7416,
+      "eval_samples_per_second": 1366.696,
+      "eval_steps_per_second": 171.065,
+      "step": 5500
+    },
+    {
+      "entropy": 5.267048501968384,
+      "epoch": 4.5608947804473905,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00033964863501735647,
+      "loss": 4.9188,
+      "mean_token_accuracy": 0.19228280782699586,
+      "num_tokens": 10032490.0,
+      "step": 5505
+    },
+    {
+      "entropy": 5.392655229568481,
+      "epoch": 4.565037282518642,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00033934248859988453,
+      "loss": 4.9346,
+      "mean_token_accuracy": 0.19580908715724946,
+      "num_tokens": 10041613.0,
+      "step": 5510
+    },
+    {
+      "entropy": 5.262086534500122,
+      "epoch": 4.569179784589892,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003390362123965817,
+      "loss": 4.8733,
+      "mean_token_accuracy": 0.1911102056503296,
+      "num_tokens": 10050500.0,
+      "step": 5515
+    },
+    {
+      "entropy": 5.36342945098877,
+      "epoch": 4.573322286661144,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003387298070252407,
+      "loss": 4.9492,
+      "mean_token_accuracy": 0.1935834139585495,
+      "num_tokens": 10059650.0,
+      "step": 5520
+    },
+    {
+      "entropy": 5.337366104125977,
+      "epoch": 4.577464788732394,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003384232731039146,
+      "loss": 4.9844,
+      "mean_token_accuracy": 0.19709572941064835,
+      "num_tokens": 10067882.0,
+      "step": 5525
+    },
+    {
+      "entropy": 5.300627326965332,
+      "epoch": 4.581607290803645,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00033811661125091584,
+      "loss": 4.9253,
+      "mean_token_accuracy": 0.19670316576957703,
+      "num_tokens": 10077147.0,
+      "step": 5530
+    },
+    {
+      "entropy": 5.369974613189697,
+      "epoch": 4.585749792874896,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00033780982208481494,
+      "loss": 4.9829,
+      "mean_token_accuracy": 0.1897311642765999,
+      "num_tokens": 10086149.0,
+      "step": 5535
+    },
+    {
+      "entropy": 5.303711175918579,
+      "epoch": 4.589892294946147,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003375029062244392,
+      "loss": 4.9027,
+      "mean_token_accuracy": 0.20062701553106307,
+      "num_tokens": 10094997.0,
+      "step": 5540
+    },
+    {
+      "entropy": 5.461194086074829,
+      "epoch": 4.5940347970173985,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00033719586428887125,
+      "loss": 4.9635,
+      "mean_token_accuracy": 0.19236611425876618,
+      "num_tokens": 10103585.0,
+      "step": 5545
+    },
+    {
+      "entropy": 5.276572418212891,
+      "epoch": 4.59817729908865,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00033688869689744836,
+      "loss": 4.8715,
+      "mean_token_accuracy": 0.1956779330968857,
+      "num_tokens": 10113877.0,
+      "step": 5550
+    },
+    {
+      "entropy": 5.333914184570313,
+      "epoch": 4.602319801159901,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003365814046697608,
+      "loss": 4.9676,
+      "mean_token_accuracy": 0.1832288920879364,
+      "num_tokens": 10123127.0,
+      "step": 5555
+    },
+    {
+      "entropy": 5.39079098701477,
+      "epoch": 4.606462303231152,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003362739882256504,
+      "loss": 5.0347,
+      "mean_token_accuracy": 0.186669659614563,
+      "num_tokens": 10132301.0,
+      "step": 5560
+    },
+    {
+      "entropy": 5.369095230102539,
+      "epoch": 4.610604805302403,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0003359664481852099,
+      "loss": 5.0411,
+      "mean_token_accuracy": 0.18307175636291503,
+      "num_tokens": 10140985.0,
+      "step": 5565
+    },
+    {
+      "entropy": 5.309534072875977,
+      "epoch": 4.614747307373654,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00033565878516878103,
+      "loss": 4.9435,
+      "mean_token_accuracy": 0.186006298661232,
+      "num_tokens": 10149668.0,
+      "step": 5570
+    },
+    {
+      "entropy": 5.324404716491699,
+      "epoch": 4.618889809444905,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0003353509997969537,
+      "loss": 4.9982,
+      "mean_token_accuracy": 0.1883559986948967,
+      "num_tokens": 10158584.0,
+      "step": 5575
+    },
+    {
+      "entropy": 5.366722822189331,
+      "epoch": 4.623032311516155,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00033504309269056484,
+      "loss": 4.968,
+      "mean_token_accuracy": 0.19045166224241256,
+      "num_tokens": 10167657.0,
+      "step": 5580
+    },
+    {
+      "entropy": 5.274179601669312,
+      "epoch": 4.6271748135874065,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003347350644706965,
+      "loss": 4.8462,
+      "mean_token_accuracy": 0.1975993499159813,
+      "num_tokens": 10176657.0,
+      "step": 5585
+    },
+    {
+      "entropy": 5.3866353034973145,
+      "epoch": 4.631317315658658,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003344269157586754,
+      "loss": 4.9669,
+      "mean_token_accuracy": 0.19621438384056092,
+      "num_tokens": 10185132.0,
+      "step": 5590
+    },
+    {
+      "entropy": 5.304204607009888,
+      "epoch": 4.635459817729909,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00033411864717607114,
+      "loss": 4.8497,
+      "mean_token_accuracy": 0.19386404007673264,
+      "num_tokens": 10193428.0,
+      "step": 5595
+    },
+    {
+      "entropy": 5.324200677871704,
+      "epoch": 4.63960231980116,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0003338102593446951,
+      "loss": 5.0163,
+      "mean_token_accuracy": 0.18838184028863908,
+      "num_tokens": 10202549.0,
+      "step": 5600
+    },
+    {
+      "entropy": 5.341615533828735,
+      "epoch": 4.643744821872411,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00033350175288659925,
+      "loss": 4.8885,
+      "mean_token_accuracy": 0.1946927636861801,
+      "num_tokens": 10211161.0,
+      "step": 5605
+    },
+    {
+      "entropy": 5.309947538375854,
+      "epoch": 4.647887323943662,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00033319312842407483,
+      "loss": 4.9923,
+      "mean_token_accuracy": 0.18832400739192962,
+      "num_tokens": 10220988.0,
+      "step": 5610
+    },
+    {
+      "entropy": 5.2807288646698,
+      "epoch": 4.652029826014913,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003328843865796511,
+      "loss": 4.8873,
+      "mean_token_accuracy": 0.19748056083917617,
+      "num_tokens": 10229383.0,
+      "step": 5615
+    },
+    {
+      "entropy": 5.421126461029052,
+      "epoch": 4.656172328086164,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033257552797609426,
+      "loss": 4.9686,
+      "mean_token_accuracy": 0.18525946289300918,
+      "num_tokens": 10238622.0,
+      "step": 5620
+    },
+    {
+      "entropy": 5.506065034866333,
+      "epoch": 4.660314830157415,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00033226655323640553,
+      "loss": 5.0677,
+      "mean_token_accuracy": 0.18611674308776854,
+      "num_tokens": 10248201.0,
+      "step": 5625
+    },
+    {
+      "entropy": 5.445924186706543,
+      "epoch": 4.664457332228666,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000331957462983821,
+      "loss": 5.0837,
+      "mean_token_accuracy": 0.17612475752830506,
+      "num_tokens": 10258239.0,
+      "step": 5630
+    },
+    {
+      "entropy": 5.377671623229981,
+      "epoch": 4.668599834299917,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0003316482578418094,
+      "loss": 4.9675,
+      "mean_token_accuracy": 0.1935265153646469,
+      "num_tokens": 10266915.0,
+      "step": 5635
+    },
+    {
+      "entropy": 5.348722076416015,
+      "epoch": 4.672742336371169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00033133893843407126,
+      "loss": 5.0783,
+      "mean_token_accuracy": 0.18859633952379226,
+      "num_tokens": 10276826.0,
+      "step": 5640
+    },
+    {
+      "entropy": 5.327623510360718,
+      "epoch": 4.676884838442419,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00033102950538453776,
+      "loss": 4.9912,
+      "mean_token_accuracy": 0.19163501411676406,
+      "num_tokens": 10286041.0,
+      "step": 5645
+    },
+    {
+      "entropy": 5.367205619812012,
+      "epoch": 4.68102734051367,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00033071995931736897,
+      "loss": 5.0151,
+      "mean_token_accuracy": 0.19023409783840178,
+      "num_tokens": 10295258.0,
+      "step": 5650
+    },
+    {
+      "entropy": 5.404719638824463,
+      "epoch": 4.685169842584921,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00033041030085695323,
+      "loss": 4.9423,
+      "mean_token_accuracy": 0.19237637221813203,
+      "num_tokens": 10304726.0,
+      "step": 5655
+    },
+    {
+      "entropy": 5.34141435623169,
+      "epoch": 4.689312344656172,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003301005306279055,
+      "loss": 4.8745,
+      "mean_token_accuracy": 0.2018929526209831,
+      "num_tokens": 10312912.0,
+      "step": 5660
+    },
+    {
+      "entropy": 5.300086307525635,
+      "epoch": 4.693454846727423,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00032979064925506627,
+      "loss": 4.9743,
+      "mean_token_accuracy": 0.18896473944187164,
+      "num_tokens": 10322046.0,
+      "step": 5665
+    },
+    {
+      "entropy": 5.290521335601807,
+      "epoch": 4.697597348798674,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003294806573634999,
+      "loss": 4.9263,
+      "mean_token_accuracy": 0.206088125705719,
+      "num_tokens": 10331375.0,
+      "step": 5670
+    },
+    {
+      "entropy": 5.353716802597046,
+      "epoch": 4.7017398508699255,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003291705555784942,
+      "loss": 5.0624,
+      "mean_token_accuracy": 0.18850265592336654,
+      "num_tokens": 10341465.0,
+      "step": 5675
+    },
+    {
+      "entropy": 5.466339874267578,
+      "epoch": 4.705882352941177,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00032886034452555814,
+      "loss": 5.052,
+      "mean_token_accuracy": 0.18991907685995102,
+      "num_tokens": 10350137.0,
+      "step": 5680
+    },
+    {
+      "entropy": 5.3118266582489015,
+      "epoch": 4.710024855012428,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003285500248304214,
+      "loss": 4.9502,
+      "mean_token_accuracy": 0.1877942368388176,
+      "num_tokens": 10358666.0,
+      "step": 5685
+    },
+    {
+      "entropy": 5.319189500808716,
+      "epoch": 4.714167357083679,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003282395971190328,
+      "loss": 4.8375,
+      "mean_token_accuracy": 0.19829211980104447,
+      "num_tokens": 10366910.0,
+      "step": 5690
+    },
+    {
+      "entropy": 5.377291250228882,
+      "epoch": 4.71830985915493,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032792906201755876,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19080002307891847,
+      "num_tokens": 10376435.0,
+      "step": 5695
+    },
+    {
+      "entropy": 5.293179368972778,
+      "epoch": 4.72245236122618,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00032761842015238256,
+      "loss": 4.8965,
+      "mean_token_accuracy": 0.2024861231446266,
+      "num_tokens": 10384670.0,
+      "step": 5700
+    },
+    {
+      "entropy": 5.261117172241211,
+      "epoch": 4.726594863297431,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003273076721501029,
+      "loss": 4.8845,
+      "mean_token_accuracy": 0.1939824104309082,
+      "num_tokens": 10393731.0,
+      "step": 5705
+    },
+    {
+      "entropy": 5.386179351806641,
+      "epoch": 4.730737365368682,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003269968186375325,
+      "loss": 4.9916,
+      "mean_token_accuracy": 0.19829274713993073,
+      "num_tokens": 10402369.0,
+      "step": 5710
+    },
+    {
+      "entropy": 5.379951667785645,
+      "epoch": 4.7348798674399335,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003266858602416967,
+      "loss": 4.9801,
+      "mean_token_accuracy": 0.1936841771006584,
+      "num_tokens": 10411566.0,
+      "step": 5715
+    },
+    {
+      "entropy": 5.384341192245484,
+      "epoch": 4.739022369511185,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032637479758983255,
+      "loss": 5.0294,
+      "mean_token_accuracy": 0.18491634279489516,
+      "num_tokens": 10420086.0,
+      "step": 5720
+    },
+    {
+      "entropy": 5.409085655212403,
+      "epoch": 4.743164871582436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00032606363130938766,
+      "loss": 5.0704,
+      "mean_token_accuracy": 0.18897949457168578,
+      "num_tokens": 10429746.0,
+      "step": 5725
+    },
+    {
+      "entropy": 5.349277639389038,
+      "epoch": 4.747307373653687,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0003257523620280181,
+      "loss": 4.9498,
+      "mean_token_accuracy": 0.19129680693149567,
+      "num_tokens": 10438536.0,
+      "step": 5730
+    },
+    {
+      "entropy": 5.348873805999756,
+      "epoch": 4.751449875724938,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00032544099037358834,
+      "loss": 4.9497,
+      "mean_token_accuracy": 0.19692206382751465,
+      "num_tokens": 10447471.0,
+      "step": 5735
+    },
+    {
+      "entropy": 5.33362455368042,
+      "epoch": 4.755592377796189,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003251295169741688,
+      "loss": 4.962,
+      "mean_token_accuracy": 0.1995266228914261,
+      "num_tokens": 10457179.0,
+      "step": 5740
+    },
+    {
+      "entropy": 5.327010250091552,
+      "epoch": 4.75973487986744,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00032481794245803536,
+      "loss": 5.0295,
+      "mean_token_accuracy": 0.18461760133504868,
+      "num_tokens": 10466291.0,
+      "step": 5745
+    },
+    {
+      "entropy": 5.323912620544434,
+      "epoch": 4.763877381938691,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00032450626745366806,
+      "loss": 4.9102,
+      "mean_token_accuracy": 0.19402227252721788,
+      "num_tokens": 10475452.0,
+      "step": 5750
+    },
+    {
+      "entropy": 5.306818199157715,
+      "epoch": 4.768019884009942,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00032419449258974924,
+      "loss": 4.8753,
+      "mean_token_accuracy": 0.20045212656259537,
+      "num_tokens": 10484381.0,
+      "step": 5755
+    },
+    {
+      "entropy": 5.342190933227539,
+      "epoch": 4.7721623860811935,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000323882618495163,
+      "loss": 5.0665,
+      "mean_token_accuracy": 0.1831491023302078,
+      "num_tokens": 10495132.0,
+      "step": 5760
+    },
+    {
+      "entropy": 5.351349258422852,
+      "epoch": 4.776304888152444,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003235706457989934,
+      "loss": 5.0246,
+      "mean_token_accuracy": 0.1850237250328064,
+      "num_tokens": 10504519.0,
+      "step": 5765
+    },
+    {
+      "entropy": 5.387107896804809,
+      "epoch": 4.780447390223695,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032325857513052354,
+      "loss": 4.9654,
+      "mean_token_accuracy": 0.19212980419397355,
+      "num_tokens": 10513575.0,
+      "step": 5770
+    },
+    {
+      "entropy": 5.396086692810059,
+      "epoch": 4.784589892294946,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000322946407119234,
+      "loss": 5.0554,
+      "mean_token_accuracy": 0.18998173326253892,
+      "num_tokens": 10522148.0,
+      "step": 5775
+    },
+    {
+      "entropy": 5.361077404022216,
+      "epoch": 4.788732394366197,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032263414239480187,
+      "loss": 4.9891,
+      "mean_token_accuracy": 0.18589809089899062,
+      "num_tokens": 10531183.0,
+      "step": 5780
+    },
+    {
+      "entropy": 5.342947483062744,
+      "epoch": 4.792874896437448,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.000322321781587099,
+      "loss": 4.9298,
+      "mean_token_accuracy": 0.19391343146562576,
+      "num_tokens": 10540677.0,
+      "step": 5785
+    },
+    {
+      "entropy": 5.276329088211059,
+      "epoch": 4.797017398508699,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003220093253261915,
+      "loss": 4.9342,
+      "mean_token_accuracy": 0.18589555770158767,
+      "num_tokens": 10550009.0,
+      "step": 5790
+    },
+    {
+      "entropy": 5.315787076950073,
+      "epoch": 4.80115990057995,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003216967742423377,
+      "loss": 4.9621,
+      "mean_token_accuracy": 0.19312297254800798,
+      "num_tokens": 10559694.0,
+      "step": 5795
+    },
+    {
+      "entropy": 5.339448022842407,
+      "epoch": 4.8053024026512015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003213841289659872,
+      "loss": 4.9613,
+      "mean_token_accuracy": 0.20080769211053848,
+      "num_tokens": 10567965.0,
+      "step": 5800
+    },
+    {
+      "entropy": 5.312955284118653,
+      "epoch": 4.809444904722453,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003210713901277799,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.19690640568733214,
+      "num_tokens": 10577653.0,
+      "step": 5805
+    },
+    {
+      "entropy": 5.359428977966308,
+      "epoch": 4.813587406793704,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000320758558358544,
+      "loss": 4.9728,
+      "mean_token_accuracy": 0.18951950818300248,
+      "num_tokens": 10586903.0,
+      "step": 5810
+    },
+    {
+      "entropy": 5.302858638763428,
+      "epoch": 4.817729908864955,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003204456342892955,
+      "loss": 4.8829,
+      "mean_token_accuracy": 0.19500194638967513,
+      "num_tokens": 10595411.0,
+      "step": 5815
+    },
+    {
+      "entropy": 5.321697616577149,
+      "epoch": 4.821872410936205,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00032013261855123637,
+      "loss": 4.9475,
+      "mean_token_accuracy": 0.1907385230064392,
+      "num_tokens": 10604147.0,
+      "step": 5820
+    },
+    {
+      "entropy": 5.368891286849975,
+      "epoch": 4.826014913007457,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00031981951177575366,
+      "loss": 5.0445,
+      "mean_token_accuracy": 0.1850367307662964,
+      "num_tokens": 10614048.0,
+      "step": 5825
+    },
+    {
+      "entropy": 5.374803781509399,
+      "epoch": 4.830157415078707,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003195063145944178,
+      "loss": 5.0779,
+      "mean_token_accuracy": 0.18388603180646895,
+      "num_tokens": 10623399.0,
+      "step": 5830
+    },
+    {
+      "entropy": 5.389354228973389,
+      "epoch": 4.834299917149958,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003191930276389819,
+      "loss": 4.9183,
+      "mean_token_accuracy": 0.19506800919771194,
+      "num_tokens": 10632627.0,
+      "step": 5835
+    },
+    {
+      "entropy": 5.401239061355591,
+      "epoch": 4.838442419221209,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00031887965154137987,
+      "loss": 4.9726,
+      "mean_token_accuracy": 0.1816769301891327,
+      "num_tokens": 10641155.0,
+      "step": 5840
+    },
+    {
+      "entropy": 5.354168939590454,
+      "epoch": 4.8425849212924605,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003185661869337255,
+      "loss": 5.0118,
+      "mean_token_accuracy": 0.18452974855899812,
+      "num_tokens": 10649661.0,
+      "step": 5845
+    },
+    {
+      "entropy": 5.265790605545044,
+      "epoch": 4.846727423363712,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00031825263444831137,
+      "loss": 4.9151,
+      "mean_token_accuracy": 0.19235364347696304,
+      "num_tokens": 10658652.0,
+      "step": 5850
+    },
+    {
+      "entropy": 5.3790277481079105,
+      "epoch": 4.850869925434963,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003179389947176069,
+      "loss": 5.0445,
+      "mean_token_accuracy": 0.1886226385831833,
+      "num_tokens": 10668703.0,
+      "step": 5855
+    },
+    {
+      "entropy": 5.385872554779053,
+      "epoch": 4.855012427506214,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003176252683742578,
+      "loss": 4.9484,
+      "mean_token_accuracy": 0.19056980460882186,
+      "num_tokens": 10677740.0,
+      "step": 5860
+    },
+    {
+      "entropy": 5.347926044464112,
+      "epoch": 4.859154929577465,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003173114560510843,
+      "loss": 4.9447,
+      "mean_token_accuracy": 0.18929830342531204,
+      "num_tokens": 10686429.0,
+      "step": 5865
+    },
+    {
+      "entropy": 5.332098054885864,
+      "epoch": 4.863297431648716,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00031699755838108027,
+      "loss": 5.0442,
+      "mean_token_accuracy": 0.1941297546029091,
+      "num_tokens": 10696367.0,
+      "step": 5870
+    },
+    {
+      "entropy": 5.310936546325683,
+      "epoch": 4.867439933719967,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003166835759974115,
+      "loss": 4.9902,
+      "mean_token_accuracy": 0.1873769447207451,
+      "num_tokens": 10705712.0,
+      "step": 5875
+    },
+    {
+      "entropy": 5.371630382537842,
+      "epoch": 4.871582435791218,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031636950953341486,
+      "loss": 5.0345,
+      "mean_token_accuracy": 0.18638068735599517,
+      "num_tokens": 10715897.0,
+      "step": 5880
+    },
+    {
+      "entropy": 5.3334348678588865,
+      "epoch": 4.8757249378624685,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00031605535962259666,
+      "loss": 4.9268,
+      "mean_token_accuracy": 0.1887778237462044,
+      "num_tokens": 10724810.0,
+      "step": 5885
+    },
+    {
+      "entropy": 5.353308916091919,
+      "epoch": 4.87986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003157411268986316,
+      "loss": 4.9771,
+      "mean_token_accuracy": 0.1932398796081543,
+      "num_tokens": 10734661.0,
+      "step": 5890
+    },
+    {
+      "entropy": 5.287876415252685,
+      "epoch": 4.884009942004971,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003154268119953615,
+      "loss": 4.9586,
+      "mean_token_accuracy": 0.19356854259967804,
+      "num_tokens": 10743642.0,
+      "step": 5895
+    },
+    {
+      "entropy": 5.344345998764038,
+      "epoch": 4.888152444076222,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003151124155467938,
+      "loss": 4.9607,
+      "mean_token_accuracy": 0.19625648856163025,
+      "num_tokens": 10752812.0,
+      "step": 5900
+    },
+    {
+      "entropy": 5.3407337188720705,
+      "epoch": 4.892294946147473,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00031479793818710056,
+      "loss": 4.9983,
+      "mean_token_accuracy": 0.18306475579738618,
+      "num_tokens": 10762117.0,
+      "step": 5905
+    },
+    {
+      "entropy": 5.299752902984619,
+      "epoch": 4.896437448218724,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031448338055061685,
+      "loss": 4.9018,
+      "mean_token_accuracy": 0.19901909530162812,
+      "num_tokens": 10771515.0,
+      "step": 5910
+    },
+    {
+      "entropy": 5.309285831451416,
+      "epoch": 4.900579950289975,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00031416874327183994,
+      "loss": 4.9486,
+      "mean_token_accuracy": 0.19302618503570557,
+      "num_tokens": 10780610.0,
+      "step": 5915
+    },
+    {
+      "entropy": 5.22410569190979,
+      "epoch": 4.904722452361226,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031385402698542753,
+      "loss": 4.9151,
+      "mean_token_accuracy": 0.19276074767112733,
+      "num_tokens": 10789169.0,
+      "step": 5920
+    },
+    {
+      "entropy": 5.30161485671997,
+      "epoch": 4.908864954432477,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031353923232619674,
+      "loss": 4.9078,
+      "mean_token_accuracy": 0.19779694378376006,
+      "num_tokens": 10798636.0,
+      "step": 5925
+    },
+    {
+      "entropy": 5.3571271896362305,
+      "epoch": 4.9130074565037285,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003132243599291229,
+      "loss": 4.9753,
+      "mean_token_accuracy": 0.19644105434417725,
+      "num_tokens": 10808245.0,
+      "step": 5930
+    },
+    {
+      "entropy": 5.384200191497802,
+      "epoch": 4.91714995857498,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00031290941042933797,
+      "loss": 4.9679,
+      "mean_token_accuracy": 0.18787674605846405,
+      "num_tokens": 10817164.0,
+      "step": 5935
+    },
+    {
+      "entropy": 5.287544202804566,
+      "epoch": 4.92129246064623,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031259438446212953,
+      "loss": 5.0007,
+      "mean_token_accuracy": 0.18373542726039888,
+      "num_tokens": 10826098.0,
+      "step": 5940
+    },
+    {
+      "entropy": 5.33493857383728,
+      "epoch": 4.925434962717482,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00031227928266293933,
+      "loss": 5.0115,
+      "mean_token_accuracy": 0.18100205808877945,
+      "num_tokens": 10836427.0,
+      "step": 5945
+    },
+    {
+      "entropy": 5.345344829559326,
+      "epoch": 4.929577464788732,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00031196410566736215,
+      "loss": 4.9689,
+      "mean_token_accuracy": 0.19277302771806717,
+      "num_tokens": 10845804.0,
+      "step": 5950
+    },
+    {
+      "entropy": 5.3519449710845945,
+      "epoch": 4.933719966859983,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00031164885411114453,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.1908810630440712,
+      "num_tokens": 10855951.0,
+      "step": 5955
+    },
+    {
+      "entropy": 5.301464605331421,
+      "epoch": 4.937862468931234,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031133352863018315,
+      "loss": 5.079,
+      "mean_token_accuracy": 0.18923453092575074,
+      "num_tokens": 10865528.0,
+      "step": 5960
+    },
+    {
+      "entropy": 5.369193601608276,
+      "epoch": 4.942004971002485,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00031101812986052406,
+      "loss": 4.9936,
+      "mean_token_accuracy": 0.19839225262403487,
+      "num_tokens": 10874365.0,
+      "step": 5965
+    },
+    {
+      "entropy": 5.310976552963257,
+      "epoch": 4.9461474730737365,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00031070265843836107,
+      "loss": 4.9184,
+      "mean_token_accuracy": 0.1972976267337799,
+      "num_tokens": 10883034.0,
+      "step": 5970
+    },
+    {
+      "entropy": 5.323369884490967,
+      "epoch": 4.950289975144988,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003103871150000345,
+      "loss": 4.9768,
+      "mean_token_accuracy": 0.1961338758468628,
+      "num_tokens": 10892307.0,
+      "step": 5975
+    },
+    {
+      "entropy": 5.354686069488525,
+      "epoch": 4.954432477216239,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00031007150018202983,
+      "loss": 5.057,
+      "mean_token_accuracy": 0.18536237627267838,
+      "num_tokens": 10902074.0,
+      "step": 5980
+    },
+    {
+      "entropy": 5.372721862792969,
+      "epoch": 4.95857497928749,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00030975581462097673,
+      "loss": 4.8961,
+      "mean_token_accuracy": 0.19350670725107194,
+      "num_tokens": 10911205.0,
+      "step": 5985
+    },
+    {
+      "entropy": 5.278085422515869,
+      "epoch": 4.962717481358741,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00030944005895364754,
+      "loss": 4.9233,
+      "mean_token_accuracy": 0.19045489132404328,
+      "num_tokens": 10920371.0,
+      "step": 5990
+    },
+    {
+      "entropy": 5.219862222671509,
+      "epoch": 4.966859983429992,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00030912423381695584,
+      "loss": 4.9124,
+      "mean_token_accuracy": 0.20015972554683686,
+      "num_tokens": 10928741.0,
+      "step": 5995
+    },
+    {
+      "entropy": 5.3216063499450685,
+      "epoch": 4.971002485501243,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00030880833984795554,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.20140086114406586,
+      "num_tokens": 10938074.0,
+      "step": 6000
+    },
+    {
+      "epoch": 4.971002485501243,
+      "eval_entropy": 5.223882782942196,
+      "eval_loss": 5.772702217102051,
+      "eval_mean_token_accuracy": 0.16291698060437307,
+      "eval_num_tokens": 10938074.0,
+      "eval_runtime": 2.7438,
+      "eval_samples_per_second": 1365.624,
+      "eval_steps_per_second": 170.931,
+      "step": 6000
+    },
+    {
+      "entropy": 5.304221105575562,
+      "epoch": 4.975144987572493,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0003084923776838392,
+      "loss": 4.9428,
+      "mean_token_accuracy": 0.1906152918934822,
+      "num_tokens": 10946756.0,
+      "step": 6005
+    },
+    {
+      "entropy": 5.28564419746399,
+      "epoch": 4.9792874896437445,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00030817634796193705,
+      "loss": 4.9192,
+      "mean_token_accuracy": 0.19711493700742722,
+      "num_tokens": 10956313.0,
+      "step": 6010
+    },
+    {
+      "entropy": 5.420253419876099,
+      "epoch": 4.983429991714996,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00030786025131971555,
+      "loss": 4.9823,
+      "mean_token_accuracy": 0.19457563310861586,
+      "num_tokens": 10964333.0,
+      "step": 6015
+    },
+    {
+      "entropy": 5.329161500930786,
+      "epoch": 4.987572493786247,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003075440883947764,
+      "loss": 4.8999,
+      "mean_token_accuracy": 0.19664130955934525,
+      "num_tokens": 10974110.0,
+      "step": 6020
+    },
+    {
+      "entropy": 5.248602771759034,
+      "epoch": 4.991714995857498,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003072278598248544,
+      "loss": 4.9529,
+      "mean_token_accuracy": 0.19656815081834794,
+      "num_tokens": 10983186.0,
+      "step": 6025
+    },
+    {
+      "entropy": 5.307998704910278,
+      "epoch": 4.995857497928749,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00030691156624781734,
+      "loss": 4.9377,
+      "mean_token_accuracy": 0.19932860583066941,
+      "num_tokens": 10992244.0,
+      "step": 6030
+    },
+    {
+      "entropy": 5.353039836883545,
+      "epoch": 5.0,
+      "grad_norm": 1.8515625,
+      "learning_rate": 0.000306595208301664,
+      "loss": 4.927,
+      "mean_token_accuracy": 0.20540354549884796,
+      "num_tokens": 11000005.0,
+      "step": 6035
+    },
+    {
+      "entropy": 5.336960649490356,
+      "epoch": 5.004142502071251,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00030627878662452273,
+      "loss": 4.7717,
+      "mean_token_accuracy": 0.20522954761981965,
+      "num_tokens": 11009346.0,
+      "step": 6040
+    },
+    {
+      "entropy": 5.356115531921387,
+      "epoch": 5.008285004142502,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003059623018546508,
+      "loss": 4.7197,
+      "mean_token_accuracy": 0.2092713624238968,
+      "num_tokens": 11017844.0,
+      "step": 6045
+    },
+    {
+      "entropy": 5.362998294830322,
+      "epoch": 5.012427506213753,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003056457546304326,
+      "loss": 4.7531,
+      "mean_token_accuracy": 0.21363187432289124,
+      "num_tokens": 11026840.0,
+      "step": 6050
+    },
+    {
+      "entropy": 5.250718975067139,
+      "epoch": 5.016570008285004,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003053291455903782,
+      "loss": 4.7186,
+      "mean_token_accuracy": 0.2076275572180748,
+      "num_tokens": 11034906.0,
+      "step": 6055
+    },
+    {
+      "entropy": 5.263190746307373,
+      "epoch": 5.0207125103562555,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00030501247537312293,
+      "loss": 4.7802,
+      "mean_token_accuracy": 0.20651286244392394,
+      "num_tokens": 11044403.0,
+      "step": 6060
+    },
+    {
+      "entropy": 5.360515308380127,
+      "epoch": 5.024855012427507,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0003046957446174251,
+      "loss": 4.7387,
+      "mean_token_accuracy": 0.21264788061380385,
+      "num_tokens": 11052685.0,
+      "step": 6065
+    },
+    {
+      "entropy": 5.316996622085571,
+      "epoch": 5.028997514498757,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00030437895396216524,
+      "loss": 4.591,
+      "mean_token_accuracy": 0.21709324419498444,
+      "num_tokens": 11060830.0,
+      "step": 6070
+    },
+    {
+      "entropy": 5.315813970565796,
+      "epoch": 5.033140016570008,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.00030406210404634475,
+      "loss": 4.7708,
+      "mean_token_accuracy": 0.20373892933130264,
+      "num_tokens": 11070220.0,
+      "step": 6075
+    },
+    {
+      "entropy": 5.294347095489502,
+      "epoch": 5.037282518641259,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003037451955090846,
+      "loss": 4.6847,
+      "mean_token_accuracy": 0.20420003384351731,
+      "num_tokens": 11079171.0,
+      "step": 6080
+    },
+    {
+      "entropy": 5.297221279144287,
+      "epoch": 5.04142502071251,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00030342822898962377,
+      "loss": 4.7697,
+      "mean_token_accuracy": 0.20524269640445708,
+      "num_tokens": 11089205.0,
+      "step": 6085
+    },
+    {
+      "entropy": 5.273457336425781,
+      "epoch": 5.045567522783761,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003031112051273185,
+      "loss": 4.7429,
+      "mean_token_accuracy": 0.21156702935695648,
+      "num_tokens": 11098339.0,
+      "step": 6090
+    },
+    {
+      "entropy": 5.299424123764038,
+      "epoch": 5.049710024855012,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003027941245616405,
+      "loss": 4.6524,
+      "mean_token_accuracy": 0.21203886568546296,
+      "num_tokens": 11107218.0,
+      "step": 6095
+    },
+    {
+      "entropy": 5.3286974906921385,
+      "epoch": 5.0538525269262635,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003024769879321761,
+      "loss": 4.7702,
+      "mean_token_accuracy": 0.2051073744893074,
+      "num_tokens": 11116457.0,
+      "step": 6100
+    },
+    {
+      "entropy": 5.300696182250976,
+      "epoch": 5.057995028997515,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0003021597958786243,
+      "loss": 4.7449,
+      "mean_token_accuracy": 0.20762935131788254,
+      "num_tokens": 11124834.0,
+      "step": 6105
+    },
+    {
+      "entropy": 5.288244676589966,
+      "epoch": 5.062137531068766,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003018425490407962,
+      "loss": 4.76,
+      "mean_token_accuracy": 0.20868725776672364,
+      "num_tokens": 11133920.0,
+      "step": 6110
+    },
+    {
+      "entropy": 5.387529897689819,
+      "epoch": 5.066280033140017,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00030152524805861344,
+      "loss": 4.7597,
+      "mean_token_accuracy": 0.20800695270299913,
+      "num_tokens": 11143573.0,
+      "step": 6115
+    },
+    {
+      "entropy": 5.3629701137542725,
+      "epoch": 5.070422535211268,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00030120789357210667,
+      "loss": 4.8139,
+      "mean_token_accuracy": 0.20669919848442078,
+      "num_tokens": 11154255.0,
+      "step": 6120
+    },
+    {
+      "entropy": 5.300123262405395,
+      "epoch": 5.074565037282519,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00030089048622141453,
+      "loss": 4.7241,
+      "mean_token_accuracy": 0.2095050945878029,
+      "num_tokens": 11163306.0,
+      "step": 6125
+    },
+    {
+      "entropy": 5.368470001220703,
+      "epoch": 5.078707539353769,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00030057302664678243,
+      "loss": 4.7569,
+      "mean_token_accuracy": 0.20853464156389237,
+      "num_tokens": 11172763.0,
+      "step": 6130
+    },
+    {
+      "entropy": 5.33392744064331,
+      "epoch": 5.08285004142502,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00030025551548856105,
+      "loss": 4.7413,
+      "mean_token_accuracy": 0.20951523035764694,
+      "num_tokens": 11182196.0,
+      "step": 6135
+    },
+    {
+      "entropy": 5.287980794906616,
+      "epoch": 5.0869925434962715,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002999379533872051,
+      "loss": 4.7905,
+      "mean_token_accuracy": 0.19804110527038574,
+      "num_tokens": 11192462.0,
+      "step": 6140
+    },
+    {
+      "entropy": 5.281665325164795,
+      "epoch": 5.091135045567523,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002996203409832719,
+      "loss": 4.7519,
+      "mean_token_accuracy": 0.2107569918036461,
+      "num_tokens": 11201805.0,
+      "step": 6145
+    },
+    {
+      "entropy": 5.31660532951355,
+      "epoch": 5.095277547638774,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002993026789174205,
+      "loss": 4.7322,
+      "mean_token_accuracy": 0.21754502654075622,
+      "num_tokens": 11210114.0,
+      "step": 6150
+    },
+    {
+      "entropy": 5.335706996917724,
+      "epoch": 5.099420049710025,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002989849678304099,
+      "loss": 4.8147,
+      "mean_token_accuracy": 0.20241696387529373,
+      "num_tokens": 11219725.0,
+      "step": 6155
+    },
+    {
+      "entropy": 5.308135366439819,
+      "epoch": 5.103562551781276,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00029866720836309817,
+      "loss": 4.7283,
+      "mean_token_accuracy": 0.20736500322818757,
+      "num_tokens": 11228583.0,
+      "step": 6160
+    },
+    {
+      "entropy": 5.3292882442474365,
+      "epoch": 5.107705053852527,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00029834940115644086,
+      "loss": 4.7472,
+      "mean_token_accuracy": 0.20635622441768647,
+      "num_tokens": 11237787.0,
+      "step": 6165
+    },
+    {
+      "entropy": 5.2917111873626705,
+      "epoch": 5.111847555923778,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002980315468514898,
+      "loss": 4.7704,
+      "mean_token_accuracy": 0.20057149082422257,
+      "num_tokens": 11247136.0,
+      "step": 6170
+    },
+    {
+      "entropy": 5.239889097213745,
+      "epoch": 5.115990057995029,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00029771364608939196,
+      "loss": 4.6994,
+      "mean_token_accuracy": 0.20981708765029908,
+      "num_tokens": 11256931.0,
+      "step": 6175
+    },
+    {
+      "entropy": 5.272354030609131,
+      "epoch": 5.12013256006628,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002973956995113878,
+      "loss": 4.6811,
+      "mean_token_accuracy": 0.20489206910133362,
+      "num_tokens": 11266457.0,
+      "step": 6180
+    },
+    {
+      "entropy": 5.272558641433716,
+      "epoch": 5.1242750621375315,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.0002970777077588103,
+      "loss": 4.6443,
+      "mean_token_accuracy": 0.2170465260744095,
+      "num_tokens": 11274239.0,
+      "step": 6185
+    },
+    {
+      "entropy": 5.282349872589111,
+      "epoch": 5.128417564208782,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0002967596714730837,
+      "loss": 4.7752,
+      "mean_token_accuracy": 0.20363858938217164,
+      "num_tokens": 11283239.0,
+      "step": 6190
+    },
+    {
+      "entropy": 5.285331869125367,
+      "epoch": 5.132560066280033,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00029644159129572185,
+      "loss": 4.7121,
+      "mean_token_accuracy": 0.2075791761279106,
+      "num_tokens": 11291662.0,
+      "step": 6195
+    },
+    {
+      "entropy": 5.2614960193634035,
+      "epoch": 5.136702568351284,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002961234678683272,
+      "loss": 4.7453,
+      "mean_token_accuracy": 0.21309943348169327,
+      "num_tokens": 11300165.0,
+      "step": 6200
+    },
+    {
+      "entropy": 5.323043155670166,
+      "epoch": 5.140845070422535,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0002958053018325896,
+      "loss": 4.7132,
+      "mean_token_accuracy": 0.21612811386585234,
+      "num_tokens": 11309729.0,
+      "step": 6205
+    },
+    {
+      "entropy": 5.375712585449219,
+      "epoch": 5.144987572493786,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002954870938302846,
+      "loss": 4.7657,
+      "mean_token_accuracy": 0.2033802881836891,
+      "num_tokens": 11318674.0,
+      "step": 6210
+    },
+    {
+      "entropy": 5.292187595367432,
+      "epoch": 5.149130074565037,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002951688445032726,
+      "loss": 4.7309,
+      "mean_token_accuracy": 0.21144932359457017,
+      "num_tokens": 11327583.0,
+      "step": 6215
+    },
+    {
+      "entropy": 5.326848030090332,
+      "epoch": 5.153272576636288,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002948505544934971,
+      "loss": 4.7639,
+      "mean_token_accuracy": 0.2049189493060112,
+      "num_tokens": 11338132.0,
+      "step": 6220
+    },
+    {
+      "entropy": 5.31851224899292,
+      "epoch": 5.1574150787075395,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000294532224442984,
+      "loss": 4.7911,
+      "mean_token_accuracy": 0.20397177040576936,
+      "num_tokens": 11347210.0,
+      "step": 6225
+    },
+    {
+      "entropy": 5.275168132781983,
+      "epoch": 5.161557580778791,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00029421385499383976,
+      "loss": 4.6742,
+      "mean_token_accuracy": 0.22349916100502015,
+      "num_tokens": 11355479.0,
+      "step": 6230
+    },
+    {
+      "entropy": 5.348278999328613,
+      "epoch": 5.165700082850042,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00029389544678825035,
+      "loss": 4.8403,
+      "mean_token_accuracy": 0.19372698813676834,
+      "num_tokens": 11364518.0,
+      "step": 6235
+    },
+    {
+      "entropy": 5.247139596939087,
+      "epoch": 5.169842584921293,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00029357700046847985,
+      "loss": 4.737,
+      "mean_token_accuracy": 0.2046540141105652,
+      "num_tokens": 11373589.0,
+      "step": 6240
+    },
+    {
+      "entropy": 5.368101263046265,
+      "epoch": 5.173985086992544,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002932585166768694,
+      "loss": 4.7938,
+      "mean_token_accuracy": 0.20394597351551055,
+      "num_tokens": 11383209.0,
+      "step": 6245
+    },
+    {
+      "entropy": 5.315500497817993,
+      "epoch": 5.178127589063794,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00029293999605583545,
+      "loss": 4.7294,
+      "mean_token_accuracy": 0.20444581657648087,
+      "num_tokens": 11392012.0,
+      "step": 6250
+    },
+    {
+      "entropy": 5.282355690002442,
+      "epoch": 5.182270091135045,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00029262143924786905,
+      "loss": 4.7761,
+      "mean_token_accuracy": 0.20456164181232453,
+      "num_tokens": 11400489.0,
+      "step": 6255
+    },
+    {
+      "entropy": 5.2667319774627686,
+      "epoch": 5.186412593206296,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00029230284689553404,
+      "loss": 4.6817,
+      "mean_token_accuracy": 0.21175160706043245,
+      "num_tokens": 11409337.0,
+      "step": 6260
+    },
+    {
+      "entropy": 5.286681175231934,
+      "epoch": 5.190555095277547,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00029198421964146605,
+      "loss": 4.7382,
+      "mean_token_accuracy": 0.21787525415420533,
+      "num_tokens": 11418650.0,
+      "step": 6265
+    },
+    {
+      "entropy": 5.2383523941040036,
+      "epoch": 5.1946975973487985,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002916655581283709,
+      "loss": 4.747,
+      "mean_token_accuracy": 0.20590767711400987,
+      "num_tokens": 11427516.0,
+      "step": 6270
+    },
+    {
+      "entropy": 5.225810289382935,
+      "epoch": 5.19884009942005,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00029134686299902397,
+      "loss": 4.7223,
+      "mean_token_accuracy": 0.20668105334043502,
+      "num_tokens": 11435676.0,
+      "step": 6275
+    },
+    {
+      "entropy": 5.336339044570923,
+      "epoch": 5.202982601491301,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002910281348962679,
+      "loss": 4.7825,
+      "mean_token_accuracy": 0.1937339723110199,
+      "num_tokens": 11444520.0,
+      "step": 6280
+    },
+    {
+      "entropy": 5.342389440536499,
+      "epoch": 5.207125103562552,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00029070937446301225,
+      "loss": 4.7611,
+      "mean_token_accuracy": 0.20350439995527267,
+      "num_tokens": 11453759.0,
+      "step": 6285
+    },
+    {
+      "entropy": 5.377904796600342,
+      "epoch": 5.211267605633803,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002903905823422317,
+      "loss": 4.9078,
+      "mean_token_accuracy": 0.1901518851518631,
+      "num_tokens": 11463409.0,
+      "step": 6290
+    },
+    {
+      "entropy": 5.323945093154907,
+      "epoch": 5.215410107705054,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002900717591769646,
+      "loss": 4.7966,
+      "mean_token_accuracy": 0.20510322898626326,
+      "num_tokens": 11473440.0,
+      "step": 6295
+    },
+    {
+      "entropy": 5.27484130859375,
+      "epoch": 5.219552609776305,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002897529056103122,
+      "loss": 4.6336,
+      "mean_token_accuracy": 0.2183629482984543,
+      "num_tokens": 11482353.0,
+      "step": 6300
+    },
+    {
+      "entropy": 5.297479438781738,
+      "epoch": 5.223695111847556,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002894340222854371,
+      "loss": 4.7712,
+      "mean_token_accuracy": 0.20640946179628372,
+      "num_tokens": 11491331.0,
+      "step": 6305
+    },
+    {
+      "entropy": 5.215849542617798,
+      "epoch": 5.2278376139188065,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002891151098455617,
+      "loss": 4.7107,
+      "mean_token_accuracy": 0.20350281596183778,
+      "num_tokens": 11500553.0,
+      "step": 6310
+    },
+    {
+      "entropy": 5.170541191101075,
+      "epoch": 5.231980115990058,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002887961689339672,
+      "loss": 4.6526,
+      "mean_token_accuracy": 0.21051572561264037,
+      "num_tokens": 11509146.0,
+      "step": 6315
+    },
+    {
+      "entropy": 5.332199335098267,
+      "epoch": 5.236122618061309,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002884772001939924,
+      "loss": 4.7771,
+      "mean_token_accuracy": 0.20190449655056,
+      "num_tokens": 11518172.0,
+      "step": 6320
+    },
+    {
+      "entropy": 5.30375485420227,
+      "epoch": 5.24026512013256,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000288158204269032,
+      "loss": 4.7764,
+      "mean_token_accuracy": 0.19927115142345428,
+      "num_tokens": 11527291.0,
+      "step": 6325
+    },
+    {
+      "entropy": 5.285002279281616,
+      "epoch": 5.244407622203811,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00028783918180253567,
+      "loss": 4.7763,
+      "mean_token_accuracy": 0.20877851247787477,
+      "num_tokens": 11536306.0,
+      "step": 6330
+    },
+    {
+      "entropy": 5.325639486312866,
+      "epoch": 5.248550124275062,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002875201334380066,
+      "loss": 4.801,
+      "mean_token_accuracy": 0.20768691897392272,
+      "num_tokens": 11545879.0,
+      "step": 6335
+    },
+    {
+      "entropy": 5.260626125335693,
+      "epoch": 5.252692626346313,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002872010598190002,
+      "loss": 4.7203,
+      "mean_token_accuracy": 0.21331494748592378,
+      "num_tokens": 11555067.0,
+      "step": 6340
+    },
+    {
+      "entropy": 5.273142910003662,
+      "epoch": 5.256835128417564,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002868819615891229,
+      "loss": 4.699,
+      "mean_token_accuracy": 0.211579430103302,
+      "num_tokens": 11563419.0,
+      "step": 6345
+    },
+    {
+      "entropy": 5.256633758544922,
+      "epoch": 5.260977630488815,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002865628393920305,
+      "loss": 4.7696,
+      "mean_token_accuracy": 0.207663132250309,
+      "num_tokens": 11573018.0,
+      "step": 6350
+    },
+    {
+      "entropy": 5.237578821182251,
+      "epoch": 5.2651201325600665,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.0002862436938714276,
+      "loss": 4.7003,
+      "mean_token_accuracy": 0.20862672179937364,
+      "num_tokens": 11581996.0,
+      "step": 6355
+    },
+    {
+      "entropy": 5.355519008636475,
+      "epoch": 5.269262634631318,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002859245256710654,
+      "loss": 4.7534,
+      "mean_token_accuracy": 0.20775581747293473,
+      "num_tokens": 11591706.0,
+      "step": 6360
+    },
+    {
+      "entropy": 5.319948673248291,
+      "epoch": 5.273405136702569,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002856053354347411,
+      "loss": 4.7813,
+      "mean_token_accuracy": 0.2074725329875946,
+      "num_tokens": 11600616.0,
+      "step": 6365
+    },
+    {
+      "entropy": 5.243834018707275,
+      "epoch": 5.27754763877382,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002852861238062963,
+      "loss": 4.6584,
+      "mean_token_accuracy": 0.21568063348531724,
+      "num_tokens": 11609650.0,
+      "step": 6370
+    },
+    {
+      "entropy": 5.26465950012207,
+      "epoch": 5.28169014084507,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002849668914296157,
+      "loss": 4.6998,
+      "mean_token_accuracy": 0.21142313480377198,
+      "num_tokens": 11618785.0,
+      "step": 6375
+    },
+    {
+      "entropy": 5.305418300628662,
+      "epoch": 5.285832642916321,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000284647638948626,
+      "loss": 4.7576,
+      "mean_token_accuracy": 0.20556087791919708,
+      "num_tokens": 11628089.0,
+      "step": 6380
+    },
+    {
+      "entropy": 5.268257570266724,
+      "epoch": 5.289975144987572,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002843283670072942,
+      "loss": 4.8658,
+      "mean_token_accuracy": 0.19545172303915023,
+      "num_tokens": 11636954.0,
+      "step": 6385
+    },
+    {
+      "entropy": 5.275126600265503,
+      "epoch": 5.294117647058823,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0002840090762496268,
+      "loss": 4.7803,
+      "mean_token_accuracy": 0.20498874336481093,
+      "num_tokens": 11646719.0,
+      "step": 6390
+    },
+    {
+      "entropy": 5.340854024887085,
+      "epoch": 5.2982601491300745,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002836897673196681,
+      "loss": 4.7015,
+      "mean_token_accuracy": 0.20719585418701172,
+      "num_tokens": 11655589.0,
+      "step": 6395
+    },
+    {
+      "entropy": 5.227226972579956,
+      "epoch": 5.302402651201326,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00028337044086149913,
+      "loss": 4.7283,
+      "mean_token_accuracy": 0.20560554265975953,
+      "num_tokens": 11663703.0,
+      "step": 6400
+    },
+    {
+      "entropy": 5.296469211578369,
+      "epoch": 5.306545153272577,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00028305109751923616,
+      "loss": 4.8177,
+      "mean_token_accuracy": 0.20388006865978242,
+      "num_tokens": 11672643.0,
+      "step": 6405
+    },
+    {
+      "entropy": 5.270711994171142,
+      "epoch": 5.310687655343828,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00028273173793702967,
+      "loss": 4.673,
+      "mean_token_accuracy": 0.2078327417373657,
+      "num_tokens": 11681449.0,
+      "step": 6410
+    },
+    {
+      "entropy": 5.301759338378906,
+      "epoch": 5.314830157415079,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002824123627590629,
+      "loss": 4.7568,
+      "mean_token_accuracy": 0.19922166019678117,
+      "num_tokens": 11690820.0,
+      "step": 6415
+    },
+    {
+      "entropy": 5.291653823852539,
+      "epoch": 5.31897265948633,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002820929726295504,
+      "loss": 4.7858,
+      "mean_token_accuracy": 0.2068773627281189,
+      "num_tokens": 11699705.0,
+      "step": 6420
+    },
+    {
+      "entropy": 5.257635831832886,
+      "epoch": 5.323115161557581,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002817735681927371,
+      "loss": 4.7267,
+      "mean_token_accuracy": 0.21190525144338607,
+      "num_tokens": 11709417.0,
+      "step": 6425
+    },
+    {
+      "entropy": 5.305531692504883,
+      "epoch": 5.327257663628831,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00028145415009289644,
+      "loss": 4.7662,
+      "mean_token_accuracy": 0.2035451725125313,
+      "num_tokens": 11718661.0,
+      "step": 6430
+    },
+    {
+      "entropy": 5.240819025039673,
+      "epoch": 5.3314001657000825,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002811347189743297,
+      "loss": 4.7448,
+      "mean_token_accuracy": 0.21049206256866454,
+      "num_tokens": 11727568.0,
+      "step": 6435
+    },
+    {
+      "entropy": 5.250747394561768,
+      "epoch": 5.335542667771334,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00028081527548136446,
+      "loss": 4.6853,
+      "mean_token_accuracy": 0.2216053858399391,
+      "num_tokens": 11736615.0,
+      "step": 6440
+    },
+    {
+      "entropy": 5.348236608505249,
+      "epoch": 5.339685169842585,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002804958202583531,
+      "loss": 4.8181,
+      "mean_token_accuracy": 0.19986798763275146,
+      "num_tokens": 11747458.0,
+      "step": 6445
+    },
+    {
+      "entropy": 5.277511358261108,
+      "epoch": 5.343827671913836,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002801763539496718,
+      "loss": 4.7878,
+      "mean_token_accuracy": 0.2081502467393875,
+      "num_tokens": 11756279.0,
+      "step": 6450
+    },
+    {
+      "entropy": 5.279990530014038,
+      "epoch": 5.347970173985087,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002798568771997188,
+      "loss": 4.7942,
+      "mean_token_accuracy": 0.2071585923433304,
+      "num_tokens": 11765022.0,
+      "step": 6455
+    },
+    {
+      "entropy": 5.2339942932128904,
+      "epoch": 5.352112676056338,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002795373906529137,
+      "loss": 4.7376,
+      "mean_token_accuracy": 0.20560838282108307,
+      "num_tokens": 11774704.0,
+      "step": 6460
+    },
+    {
+      "entropy": 5.248803615570068,
+      "epoch": 5.356255178127589,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002792178949536959,
+      "loss": 4.6784,
+      "mean_token_accuracy": 0.21611350923776626,
+      "num_tokens": 11782309.0,
+      "step": 6465
+    },
+    {
+      "entropy": 5.28652811050415,
+      "epoch": 5.36039768019884,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000278898390746523,
+      "loss": 4.7467,
+      "mean_token_accuracy": 0.20095686316490174,
+      "num_tokens": 11792595.0,
+      "step": 6470
+    },
+    {
+      "entropy": 5.2047077178955075,
+      "epoch": 5.364540182270091,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00027857887867587005,
+      "loss": 4.7269,
+      "mean_token_accuracy": 0.21140239089727403,
+      "num_tokens": 11801536.0,
+      "step": 6475
+    },
+    {
+      "entropy": 5.271708583831787,
+      "epoch": 5.368682684341342,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002782593593862276,
+      "loss": 4.8229,
+      "mean_token_accuracy": 0.19779271334409715,
+      "num_tokens": 11810222.0,
+      "step": 6480
+    },
+    {
+      "entropy": 5.317666244506836,
+      "epoch": 5.3728251864125935,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002779398335221011,
+      "loss": 4.8066,
+      "mean_token_accuracy": 0.20721431225538253,
+      "num_tokens": 11819310.0,
+      "step": 6485
+    },
+    {
+      "entropy": 5.305458688735962,
+      "epoch": 5.376967688483845,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.0002776203017280092,
+      "loss": 4.7703,
+      "mean_token_accuracy": 0.19982181042432784,
+      "num_tokens": 11827916.0,
+      "step": 6490
+    },
+    {
+      "entropy": 5.217341518402099,
+      "epoch": 5.381110190555095,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00027730076464848225,
+      "loss": 4.7654,
+      "mean_token_accuracy": 0.20862893313169478,
+      "num_tokens": 11836770.0,
+      "step": 6495
+    },
+    {
+      "entropy": 5.276216888427735,
+      "epoch": 5.385252692626346,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00027698122292806174,
+      "loss": 4.7006,
+      "mean_token_accuracy": 0.21164953708648682,
+      "num_tokens": 11845917.0,
+      "step": 6500
+    },
+    {
+      "epoch": 5.385252692626346,
+      "eval_entropy": 5.213927641097925,
+      "eval_loss": 5.769200801849365,
+      "eval_mean_token_accuracy": 0.16407465213524508,
+      "eval_num_tokens": 11845917.0,
+      "eval_runtime": 2.9494,
+      "eval_samples_per_second": 1270.426,
+      "eval_steps_per_second": 159.015,
+      "step": 6500
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 12060,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.7687829325824e+16,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}
diff --git a/checkpoint-6500/training_args.bin b/checkpoint-6500/training_args.bin
new file mode 100644
index 0000000..47a7b32
--- /dev/null
+++ b/checkpoint-6500/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e406e906697be5d5c4bea7f90a038122ca162eb6b7e40512a32661ef55af9075
+size 6353
diff --git a/checkpoint-7000/added_tokens.json b/checkpoint-7000/added_tokens.json
new file mode 100644
index 0000000..b3dbcdb
--- /dev/null
+++ b/checkpoint-7000/added_tokens.json
@@ -0,0 +1,1202 @@
+{
+  "<pad>": 50002,
+  "[CLS]": 50000,
+  "[MASK]": 50003,
+  "[SEP]": 50001,
+  "[XXXXX0]": 50771,
+  "[XXXXX1000]": 50549,
+  "[XXXXX1001]": 50657,
+  "[XXXXX1002]": 51158,
+  "[XXXXX1003]": 51044,
+  "[XXXXX1004]": 50688,
+  "[XXXXX1005]": 50689,
+  "[XXXXX1006]": 50410,
+  "[XXXXX1007]": 50724,
+  "[XXXXX1008]": 50171,
+  "[XXXXX1009]": 51077,
+  "[XXXXX100]": 50091,
+  "[XXXXX1010]": 50639,
+  "[XXXXX1011]": 51094,
+  "[XXXXX1012]": 50392,
+  "[XXXXX1013]": 50626,
+  "[XXXXX1014]": 50991,
+  "[XXXXX1015]": 50529,
+  "[XXXXX1016]": 51193,
+  "[XXXXX1017]": 51073,
+  "[XXXXX1018]": 51104,
+  "[XXXXX1019]": 50775,
+  "[XXXXX101]": 50139,
+  "[XXXXX1020]": 50157,
+  "[XXXXX1021]": 50934,
+  "[XXXXX1022]": 51159,
+  "[XXXXX1023]": 50048,
+  "[XXXXX1024]": 51123,
+  "[XXXXX1025]": 50084,
+  "[XXXXX1026]": 50813,
+  "[XXXXX1027]": 50725,
+  "[XXXXX1028]": 50931,
+  "[XXXXX1029]": 50233,
+  "[XXXXX102]": 50213,
+  "[XXXXX1030]": 51023,
+  "[XXXXX1031]": 50098,
+  "[XXXXX1032]": 50802,
+  "[XXXXX1033]": 50061,
+  "[XXXXX1034]": 51139,
+  "[XXXXX1035]": 51110,
+  "[XXXXX1036]": 50204,
+  "[XXXXX1037]": 50023,
+  "[XXXXX1038]": 50142,
+  "[XXXXX1039]": 50328,
+  "[XXXXX103]": 50087,
+  "[XXXXX1040]": 50435,
+  "[XXXXX1041]": 50489,
+  "[XXXXX1042]": 50216,
+  "[XXXXX1043]": 50144,
+  "[XXXXX1044]": 50832,
+  "[XXXXX1045]": 50566,
+  "[XXXXX1046]": 50922,
+  "[XXXXX1047]": 50796,
+  "[XXXXX1048]": 50533,
+  "[XXXXX1049]": 50433,
+  "[XXXXX104]": 50478,
+  "[XXXXX1050]": 50953,
+  "[XXXXX1051]": 50497,
+  "[XXXXX1052]": 50655,
+  "[XXXXX1053]": 50881,
+  "[XXXXX1054]": 50461,
+  "[XXXXX1055]": 50052,
+  "[XXXXX1056]": 50219,
+  "[XXXXX1057]": 50789,
+  "[XXXXX1058]": 50121,
+  "[XXXXX1059]": 51002,
+  "[XXXXX105]": 51192,
+  "[XXXXX1060]": 50158,
+  "[XXXXX1061]": 50352,
+  "[XXXXX1062]": 50637,
+  "[XXXXX1063]": 50440,
+  "[XXXXX1064]": 50590,
+  "[XXXXX1065]": 51107,
+  "[XXXXX1066]": 50758,
+  "[XXXXX1067]": 51011,
+  "[XXXXX1068]": 50985,
+  "[XXXXX1069]": 51175,
+  "[XXXXX106]": 50532,
+  "[XXXXX1070]": 50790,
+  "[XXXXX1071]": 50394,
+  "[XXXXX1072]": 50852,
+  "[XXXXX1073]": 50869,
+  "[XXXXX1074]": 50126,
+  "[XXXXX1075]": 50783,
+  "[XXXXX1076]": 50806,
+  "[XXXXX1077]": 50882,
+  "[XXXXX1078]": 50726,
+  "[XXXXX1079]": 51010,
+  "[XXXXX107]": 50714,
+  "[XXXXX1080]": 50168,
+  "[XXXXX1081]": 50425,
+  "[XXXXX1082]": 50848,
+  "[XXXXX1083]": 50014,
+  "[XXXXX1084]": 50341,
+  "[XXXXX1085]": 50734,
+  "[XXXXX1086]": 50664,
+  "[XXXXX1087]": 51007,
+  "[XXXXX1088]": 51151,
+  "[XXXXX1089]": 50269,
+  "[XXXXX108]": 50996,
+  "[XXXXX1090]": 50826,
+  "[XXXXX1091]": 51105,
+  "[XXXXX1092]": 50731,
+  "[XXXXX1093]": 50856,
+  "[XXXXX1094]": 50369,
+  "[XXXXX1095]": 50065,
+  "[XXXXX1096]": 50309,
+  "[XXXXX1097]": 50838,
+  "[XXXXX1098]": 50451,
+  "[XXXXX1099]": 50384,
+  "[XXXXX109]": 50543,
+  "[XXXXX10]": 50325,
+  "[XXXXX1100]": 50318,
+  "[XXXXX1101]": 50764,
+  "[XXXXX1102]": 51025,
+  "[XXXXX1103]": 50642,
+  "[XXXXX1104]": 50665,
+  "[XXXXX1105]": 50855,
+  "[XXXXX1106]": 51063,
+  "[XXXXX1107]": 50025,
+  "[XXXXX1108]": 50122,
+  "[XXXXX1109]": 50470,
+  "[XXXXX110]": 50062,
+  "[XXXXX1110]": 51019,
+  "[XXXXX1111]": 51124,
+  "[XXXXX1112]": 50146,
+  "[XXXXX1113]": 51125,
+  "[XXXXX1114]": 50434,
+  "[XXXXX1115]": 50818,
+  "[XXXXX1116]": 50960,
+  "[XXXXX1117]": 50258,
+  "[XXXXX1118]": 50596,
+  "[XXXXX1119]": 50083,
+  "[XXXXX111]": 51064,
+  "[XXXXX1120]": 50915,
+  "[XXXXX1121]": 50835,
+  "[XXXXX1122]": 51056,
+  "[XXXXX1123]": 50172,
+  "[XXXXX1124]": 50972,
+  "[XXXXX1125]": 50275,
+  "[XXXXX1126]": 50430,
+  "[XXXXX1127]": 50743,
+  "[XXXXX1128]": 50551,
+  "[XXXXX1129]": 50439,
+  "[XXXXX112]": 50819,
+  "[XXXXX1130]": 50536,
+  "[XXXXX1131]": 50622,
+  "[XXXXX1132]": 50623,
+  "[XXXXX1133]": 50117,
+  "[XXXXX1134]": 50251,
+  "[XXXXX1135]": 50678,
+  "[XXXXX1136]": 50316,
+  "[XXXXX1137]": 50905,
+  "[XXXXX1138]": 50992,
+  "[XXXXX1139]": 50851,
+  "[XXXXX113]": 50443,
+  "[XXXXX1140]": 50499,
+  "[XXXXX1141]": 50629,
+  "[XXXXX1142]": 50944,
+  "[XXXXX1143]": 50373,
+  "[XXXXX1144]": 50123,
+  "[XXXXX1145]": 50173,
+  "[XXXXX1146]": 50891,
+  "[XXXXX1147]": 50471,
+  "[XXXXX1148]": 50560,
+  "[XXXXX1149]": 50541,
+  "[XXXXX114]": 50631,
+  "[XXXXX1150]": 50033,
+  "[XXXXX1151]": 50063,
+  "[XXXXX1152]": 50767,
+  "[XXXXX1153]": 50897,
+  "[XXXXX1154]": 50568,
+  "[XXXXX1155]": 51131,
+  "[XXXXX1156]": 50009,
+  "[XXXXX1157]": 50417,
+  "[XXXXX1158]": 50477,
+  "[XXXXX1159]": 50941,
+  "[XXXXX115]": 50294,
+  "[XXXXX1160]": 50679,
+  "[XXXXX1161]": 51108,
+  "[XXXXX1162]": 50332,
+  "[XXXXX1163]": 50424,
+  "[XXXXX1164]": 50473,
+  "[XXXXX1165]": 50793,
+  "[XXXXX1166]": 50453,
+  "[XXXXX1167]": 50807,
+  "[XXXXX1168]": 50128,
+  "[XXXXX1169]": 50039,
+  "[XXXXX116]": 50759,
+  "[XXXXX1170]": 50735,
+  "[XXXXX1171]": 50366,
+  "[XXXXX1172]": 50808,
+  "[XXXXX1173]": 50426,
+  "[XXXXX1174]": 50076,
+  "[XXXXX1175]": 50943,
+  "[XXXXX1176]": 50252,
+  "[XXXXX1177]": 50999,
+  "[XXXXX1178]": 50264,
+  "[XXXXX1179]": 50607,
+  "[XXXXX117]": 51036,
+  "[XXXXX1180]": 50986,
+  "[XXXXX1181]": 50744,
+  "[XXXXX1182]": 50186,
+  "[XXXXX1183]": 50555,
+  "[XXXXX1184]": 51076,
+  "[XXXXX1185]": 50849,
+  "[XXXXX1186]": 51128,
+  "[XXXXX1187]": 50858,
+  "[XXXXX1188]": 50656,
+  "[XXXXX1189]": 50064,
+  "[XXXXX118]": 50081,
+  "[XXXXX1190]": 51197,
+  "[XXXXX1191]": 50104,
+  "[XXXXX1192]": 50045,
+  "[XXXXX1193]": 50404,
+  "[XXXXX1194]": 50690,
+  "[XXXXX1195]": 50495,
+  "[XXXXX119]": 50108,
+  "[XXXXX11]": 50976,
+  "[XXXXX120]": 51081,
+  "[XXXXX121]": 50464,
+  "[XXXXX122]": 50829,
+  "[XXXXX123]": 50766,
+  "[XXXXX124]": 50732,
+  "[XXXXX125]": 50221,
+  "[XXXXX126]": 50810,
+  "[XXXXX127]": 50130,
+  "[XXXXX128]": 50751,
+  "[XXXXX129]": 50662,
+  "[XXXXX12]": 50602,
+  "[XXXXX130]": 50035,
+  "[XXXXX131]": 50715,
+  "[XXXXX132]": 50340,
+  "[XXXXX133]": 50563,
+  "[XXXXX134]": 50993,
+  "[XXXXX135]": 50304,
+  "[XXXXX136]": 50131,
+  "[XXXXX137]": 50578,
+  "[XXXXX138]": 50757,
+  "[XXXXX139]": 50582,
+  "[XXXXX13]": 50105,
+  "[XXXXX140]": 50085,
+  "[XXXXX141]": 50553,
+  "[XXXXX142]": 50749,
+  "[XXXXX143]": 50351,
+  "[XXXXX144]": 51024,
+  "[XXXXX145]": 51144,
+  "[XXXXX146]": 50042,
+  "[XXXXX147]": 50145,
+  "[XXXXX148]": 50066,
+  "[XXXXX149]": 50876,
+  "[XXXXX14]": 51006,
+  "[XXXXX150]": 50280,
+  "[XXXXX151]": 50093,
+  "[XXXXX152]": 50638,
+  "[XXXXX153]": 50684,
+  "[XXXXX154]": 50820,
+  "[XXXXX155]": 51196,
+  "[XXXXX156]": 50317,
+  "[XXXXX157]": 50284,
+  "[XXXXX158]": 50288,
+  "[XXXXX159]": 50814,
+  "[XXXXX15]": 50608,
+  "[XXXXX160]": 50004,
+  "[XXXXX161]": 50008,
+  "[XXXXX162]": 50377,
+  "[XXXXX163]": 50214,
+  "[XXXXX164]": 50708,
+  "[XXXXX165]": 50390,
+  "[XXXXX166]": 50741,
+  "[XXXXX167]": 50445,
+  "[XXXXX168]": 50936,
+  "[XXXXX169]": 50896,
+  "[XXXXX16]": 50442,
+  "[XXXXX170]": 50109,
+  "[XXXXX171]": 50140,
+  "[XXXXX172]": 50427,
+  "[XXXXX173]": 51074,
+  "[XXXXX174]": 50162,
+  "[XXXXX175]": 51015,
+  "[XXXXX176]": 50524,
+  "[XXXXX177]": 50673,
+  "[XXXXX178]": 50054,
+  "[XXXXX179]": 50805,
+  "[XXXXX17]": 50482,
+  "[XXXXX180]": 50253,
+  "[XXXXX181]": 50493,
+  "[XXXXX182]": 50421,
+  "[XXXXX183]": 51050,
+  "[XXXXX184]": 50521,
+  "[XXXXX185]": 50188,
+  "[XXXXX186]": 50147,
+  "[XXXXX187]": 50201,
+  "[XXXXX188]": 50973,
+  "[XXXXX189]": 50409,
+  "[XXXXX18]": 50115,
+  "[XXXXX190]": 50051,
+  "[XXXXX191]": 51020,
+  "[XXXXX192]": 51047,
+  "[XXXXX193]": 50669,
+  "[XXXXX194]": 50643,
+  "[XXXXX195]": 50159,
+  "[XXXXX196]": 50649,
+  "[XXXXX197]": 51178,
+  "[XXXXX198]": 50043,
+  "[XXXXX199]": 51147,
+  "[XXXXX19]": 51127,
+  "[XXXXX1]": 51114,
+  "[XXXXX200]": 50840,
+  "[XXXXX201]": 50365,
+  "[XXXXX202]": 50232,
+  "[XXXXX203]": 50241,
+  "[XXXXX204]": 50548,
+  "[XXXXX205]": 50781,
+  "[XXXXX206]": 50923,
+  "[XXXXX207]": 51115,
+  "[XXXXX208]": 50344,
+  "[XXXXX209]": 50299,
+  "[XXXXX20]": 51031,
+  "[XXXXX210]": 51179,
+  "[XXXXX211]": 51163,
+  "[XXXXX212]": 50562,
+  "[XXXXX213]": 50094,
+  "[XXXXX214]": 50257,
+  "[XXXXX215]": 50967,
+  "[XXXXX216]": 50523,
+  "[XXXXX217]": 51132,
+  "[XXXXX218]": 51146,
+  "[XXXXX219]": 50411,
+  "[XXXXX21]": 50354,
+  "[XXXXX220]": 50853,
+  "[XXXXX221]": 50886,
+  "[XXXXX222]": 50600,
+  "[XXXXX223]": 50873,
+  "[XXXXX224]": 50416,
+  "[XXXXX225]": 50675,
+  "[XXXXX226]": 50583,
+  "[XXXXX227]": 50151,
+  "[XXXXX228]": 50927,
+  "[XXXXX229]": 50609,
+  "[XXXXX22]": 50589,
+  "[XXXXX230]": 50238,
+  "[XXXXX231]": 50242,
+  "[XXXXX232]": 51016,
+  "[XXXXX233]": 50406,
+  "[XXXXX234]": 50908,
+  "[XXXXX235]": 50024,
+  "[XXXXX236]": 50270,
+  "[XXXXX237]": 50132,
+  "[XXXXX238]": 50800,
+  "[XXXXX239]": 50236,
+  "[XXXXX23]": 50007,
+  "[XXXXX240]": 50005,
+  "[XXXXX241]": 50894,
+  "[XXXXX242]": 50694,
+  "[XXXXX243]": 51071,
+  "[XXXXX244]": 51017,
+  "[XXXXX245]": 50068,
+  "[XXXXX246]": 50682,
+  "[XXXXX247]": 50913,
+  "[XXXXX248]": 51028,
+  "[XXXXX249]": 50037,
+  "[XXXXX24]": 51169,
+  "[XXXXX250]": 50747,
+  "[XXXXX251]": 50947,
+  "[XXXXX252]": 50329,
+  "[XXXXX253]": 50612,
+  "[XXXXX254]": 50110,
+  "[XXXXX255]": 50824,
+  "[XXXXX256]": 50558,
+  "[XXXXX257]": 50969,
+  "[XXXXX258]": 50729,
+  "[XXXXX259]": 50125,
+  "[XXXXX25]": 51160,
+  "[XXXXX260]": 50040,
+  "[XXXXX261]": 51038,
+  "[XXXXX262]": 50347,
+  "[XXXXX263]": 50740,
+  "[XXXXX264]": 51195,
+  "[XXXXX265]": 50879,
+  "[XXXXX266]": 50770,
+  "[XXXXX267]": 50178,
+  "[XXXXX268]": 50804,
+  "[XXXXX269]": 50906,
+  "[XXXXX26]": 50150,
+  "[XXXXX270]": 51191,
+  "[XXXXX271]": 50047,
+  "[XXXXX272]": 50195,
+  "[XXXXX273]": 50554,
+  "[XXXXX274]": 50833,
+  "[XXXXX275]": 50346,
+  "[XXXXX276]": 50950,
+  "[XXXXX277]": 50864,
+  "[XXXXX278]": 50259,
+  "[XXXXX279]": 50671,
+  "[XXXXX27]": 50468,
+  "[XXXXX280]": 50082,
+  "[XXXXX281]": 50565,
+  "[XXXXX282]": 50984,
+  "[XXXXX283]": 50650,
+  "[XXXXX284]": 50975,
+  "[XXXXX285]": 50603,
+  "[XXXXX286]": 50027,
+  "[XXXXX287]": 50181,
+  "[XXXXX288]": 50981,
+  "[XXXXX289]": 50885,
+  "[XXXXX28]": 50249,
+  "[XXXXX290]": 50522,
+  "[XXXXX291]": 50050,
+  "[XXXXX292]": 50313,
+  "[XXXXX293]": 50503,
+  "[XXXXX294]": 51176,
+  "[XXXXX295]": 51177,
+  "[XXXXX296]": 50379,
+  "[XXXXX297]": 50635,
+  "[XXXXX298]": 50723,
+  "[XXXXX299]": 50200,
+  "[XXXXX29]": 50892,
+  "[XXXXX2]": 51119,
+  "[XXXXX300]": 51026,
+  "[XXXXX301]": 50528,
+  "[XXXXX302]": 51149,
+  "[XXXXX303]": 50044,
+  "[XXXXX304]": 50209,
+  "[XXXXX305]": 50988,
+  "[XXXXX306]": 50518,
+  "[XXXXX307]": 50088,
+  "[XXXXX308]": 50733,
+  "[XXXXX309]": 51066,
+  "[XXXXX30]": 50506,
+  "[XXXXX310]": 50285,
+  "[XXXXX311]": 50859,
+  "[XXXXX312]": 50263,
+  "[XXXXX313]": 50594,
+  "[XXXXX314]": 51103,
+  "[XXXXX315]": 50871,
+  "[XXXXX316]": 50300,
+  "[XXXXX317]": 50760,
+  "[XXXXX318]": 50055,
+  "[XXXXX319]": 50389,
+  "[XXXXX31]": 50212,
+  "[XXXXX320]": 50444,
+  "[XXXXX321]": 50994,
+  "[XXXXX322]": 50281,
+  "[XXXXX323]": 50179,
+  "[XXXXX324]": 50455,
+  "[XXXXX325]": 50970,
+  "[XXXXX326]": 50666,
+  "[XXXXX327]": 50604,
+  "[XXXXX328]": 50627,
+  "[XXXXX329]": 50475,
+  "[XXXXX32]": 50277,
+  "[XXXXX330]": 50667,
+  "[XXXXX331]": 50348,
+  "[XXXXX332]": 50772,
+  "[XXXXX333]": 50163,
+  "[XXXXX334]": 50569,
+  "[XXXXX335]": 50018,
+  "[XXXXX336]": 50883,
+  "[XXXXX337]": 50067,
+  "[XXXXX338]": 51184,
+  "[XXXXX339]": 50997,
+  "[XXXXX33]": 50403,
+  "[XXXXX340]": 51013,
+  "[XXXXX341]": 50957,
+  "[XXXXX342]": 51106,
+  "[XXXXX343]": 51174,
+  "[XXXXX344]": 50391,
+  "[XXXXX345]": 50948,
+  "[XXXXX346]": 50180,
+  "[XXXXX347]": 50811,
+  "[XXXXX348]": 50401,
+  "[XXXXX349]": 50911,
+  "[XXXXX34]": 50223,
+  "[XXXXX350]": 51089,
+  "[XXXXX351]": 50777,
+  "[XXXXX352]": 50189,
+  "[XXXXX353]": 50492,
+  "[XXXXX354]": 50205,
+  "[XXXXX355]": 50374,
+  "[XXXXX356]": 51152,
+  "[XXXXX357]": 50695,
+  "[XXXXX358]": 51117,
+  "[XXXXX359]": 50573,
+  "[XXXXX35]": 50752,
+  "[XXXXX360]": 50955,
+  "[XXXXX361]": 50349,
+  "[XXXXX362]": 51137,
+  "[XXXXX363]": 50641,
+  "[XXXXX364]": 51148,
+  "[XXXXX365]": 50255,
+  "[XXXXX366]": 50310,
+  "[XXXXX367]": 50314,
+  "[XXXXX368]": 50971,
+  "[XXXXX369]": 50916,
+  "[XXXXX36]": 50437,
+  "[XXXXX370]": 51096,
+  "[XXXXX371]": 50557,
+  "[XXXXX372]": 51095,
+  "[XXXXX373]": 50382,
+  "[XXXXX374]": 50119,
+  "[XXXXX375]": 50958,
+  "[XXXXX376]": 50624,
+  "[XXXXX377]": 50483,
+  "[XXXXX378]": 50605,
+  "[XXXXX379]": 50017,
+  "[XXXXX37]": 50706,
+  "[XXXXX380]": 50246,
+  "[XXXXX381]": 50588,
+  "[XXXXX382]": 51008,
+  "[XXXXX383]": 50801,
+  "[XXXXX384]": 50290,
+  "[XXXXX385]": 50899,
+  "[XXXXX386]": 50206,
+  "[XXXXX387]": 50716,
+  "[XXXXX388]": 51082,
+  "[XXXXX389]": 50177,
+  "[XXXXX38]": 50736,
+  "[XXXXX390]": 50282,
+  "[XXXXX391]": 51183,
+  "[XXXXX392]": 50286,
+  "[XXXXX393]": 50659,
+  "[XXXXX394]": 50378,
+  "[XXXXX395]": 50709,
+  "[XXXXX396]": 50028,
+  "[XXXXX397]": 50235,
+  "[XXXXX398]": 51014,
+  "[XXXXX399]": 50880,
+  "[XXXXX39]": 50305,
+  "[XXXXX3]": 50077,
+  "[XXXXX400]": 50155,
+  "[XXXXX401]": 50710,
+  "[XXXXX402]": 50507,
+  "[XXXXX403]": 50860,
+  "[XXXXX404]": 50661,
+  "[XXXXX405]": 51083,
+  "[XXXXX406]": 50888,
+  "[XXXXX407]": 50069,
+  "[XXXXX408]": 50691,
+  "[XXXXX409]": 51055,
+  "[XXXXX40]": 50337,
+  "[XXXXX410]": 50137,
+  "[XXXXX411]": 50791,
+  "[XXXXX412]": 50136,
+  "[XXXXX413]": 50730,
+  "[XXXXX414]": 50267,
+  "[XXXXX415]": 50012,
+  "[XXXXX416]": 50681,
+  "[XXXXX417]": 50942,
+  "[XXXXX418]": 50720,
+  "[XXXXX419]": 50844,
+  "[XXXXX41]": 50387,
+  "[XXXXX420]": 50111,
+  "[XXXXX421]": 51003,
+  "[XXXXX422]": 50785,
+  "[XXXXX423]": 50149,
+  "[XXXXX424]": 50422,
+  "[XXXXX425]": 51086,
+  "[XXXXX426]": 50862,
+  "[XXXXX427]": 50576,
+  "[XXXXX428]": 51049,
+  "[XXXXX429]": 50630,
+  "[XXXXX42]": 50799,
+  "[XXXXX430]": 50289,
+  "[XXXXX431]": 50184,
+  "[XXXXX432]": 50319,
+  "[XXXXX433]": 51116,
+  "[XXXXX434]": 50519,
+  "[XXXXX435]": 50496,
+  "[XXXXX436]": 50517,
+  "[XXXXX437]": 50865,
+  "[XXXXX438]": 50737,
+  "[XXXXX439]": 50356,
+  "[XXXXX43]": 50359,
+  "[XXXXX440]": 50898,
+  "[XXXXX441]": 50113,
+  "[XXXXX442]": 50527,
+  "[XXXXX443]": 50762,
+  "[XXXXX444]": 50540,
+  "[XXXXX445]": 50925,
+  "[XXXXX446]": 50711,
+  "[XXXXX447]": 50143,
+  "[XXXXX448]": 51170,
+  "[XXXXX449]": 50413,
+  "[XXXXX44]": 50097,
+  "[XXXXX450]": 50375,
+  "[XXXXX451]": 50846,
+  "[XXXXX452]": 50217,
+  "[XXXXX453]": 50699,
+  "[XXXXX454]": 50412,
+  "[XXXXX455]": 50418,
+  "[XXXXX456]": 51143,
+  "[XXXXX457]": 51141,
+  "[XXXXX458]": 51157,
+  "[XXXXX459]": 50825,
+  "[XXXXX45]": 50203,
+  "[XXXXX460]": 50194,
+  "[XXXXX461]": 50148,
+  "[XXXXX462]": 50276,
+  "[XXXXX463]": 50271,
+  "[XXXXX464]": 50836,
+  "[XXXXX465]": 50854,
+  "[XXXXX466]": 50164,
+  "[XXXXX467]": 50484,
+  "[XXXXX468]": 51097,
+  "[XXXXX469]": 50182,
+  "[XXXXX46]": 50505,
+  "[XXXXX470]": 50670,
+  "[XXXXX471]": 50595,
+  "[XXXXX472]": 50237,
+  "[XXXXX473]": 50057,
+  "[XXXXX474]": 50431,
+  "[XXXXX475]": 50738,
+  "[XXXXX476]": 51145,
+  "[XXXXX477]": 50247,
+  "[XXXXX478]": 50029,
+  "[XXXXX479]": 50917,
+  "[XXXXX47]": 50579,
+  "[XXXXX480]": 50702,
+  "[XXXXX481]": 50831,
+  "[XXXXX482]": 50753,
+  "[XXXXX483]": 50598,
+  "[XXXXX484]": 51136,
+  "[XXXXX485]": 50092,
+  "[XXXXX486]": 50202,
+  "[XXXXX487]": 50106,
+  "[XXXXX488]": 50924,
+  "[XXXXX489]": 51113,
+  "[XXXXX48]": 50842,
+  "[XXXXX490]": 50761,
+  "[XXXXX491]": 50577,
+  "[XXXXX492]": 50692,
+  "[XXXXX493]": 51130,
+  "[XXXXX494]": 50932,
+  "[XXXXX495]": 50837,
+  "[XXXXX496]": 50893,
+  "[XXXXX497]": 50773,
+  "[XXXXX498]": 50360,
+  "[XXXXX499]": 50900,
+  "[XXXXX49]": 51062,
+  "[XXXXX4]": 50396,
+  "[XXXXX500]": 51034,
+  "[XXXXX501]": 50472,
+  "[XXXXX502]": 50660,
+  "[XXXXX503]": 50815,
+  "[XXXXX504]": 50939,
+  "[XXXXX505]": 50419,
+  "[XXXXX506]": 50324,
+  "[XXXXX507]": 50428,
+  "[XXXXX508]": 50274,
+  "[XXXXX509]": 50311,
+  "[XXXXX50]": 50459,
+  "[XXXXX510]": 50674,
+  "[XXXXX511]": 50580,
+  "[XXXXX512]": 50956,
+  "[XXXXX513]": 50165,
+  "[XXXXX514]": 50320,
+  "[XXXXX515]": 50648,
+  "[XXXXX516]": 50386,
+  "[XXXXX517]": 50058,
+  "[XXXXX518]": 51045,
+  "[XXXXX519]": 50103,
+  "[XXXXX51]": 50979,
+  "[XXXXX520]": 50530,
+  "[XXXXX521]": 50907,
+  "[XXXXX522]": 50260,
+  "[XXXXX523]": 50632,
+  "[XXXXX524]": 50926,
+  "[XXXXX525]": 50687,
+  "[XXXXX526]": 50160,
+  "[XXXXX527]": 51053,
+  "[XXXXX528]": 50652,
+  "[XXXXX529]": 51041,
+  "[XXXXX52]": 50272,
+  "[XXXXX530]": 51111,
+  "[XXXXX531]": 51009,
+  "[XXXXX532]": 51079,
+  "[XXXXX533]": 50487,
+  "[XXXXX534]": 51059,
+  "[XXXXX535]": 50335,
+  "[XXXXX536]": 50380,
+  "[XXXXX537]": 50301,
+  "[XXXXX538]": 51067,
+  "[XXXXX539]": 51052,
+  "[XXXXX53]": 51048,
+  "[XXXXX540]": 50822,
+  "[XXXXX541]": 51040,
+  "[XXXXX542]": 50490,
+  "[XXXXX543]": 50448,
+  "[XXXXX544]": 50812,
+  "[XXXXX545]": 50099,
+  "[XXXXX546]": 51199,
+  "[XXXXX547]": 50226,
+  "[XXXXX548]": 50538,
+  "[XXXXX549]": 50342,
+  "[XXXXX54]": 50701,
+  "[XXXXX550]": 50544,
+  "[XXXXX551]": 50398,
+  "[XXXXX552]": 51102,
+  "[XXXXX553]": 50919,
+  "[XXXXX554]": 50615,
+  "[XXXXX555]": 50769,
+  "[XXXXX556]": 50940,
+  "[XXXXX557]": 50070,
+  "[XXXXX558]": 50680,
+  "[XXXXX559]": 50611,
+  "[XXXXX55]": 50574,
+  "[XXXXX560]": 50381,
+  "[XXXXX561]": 50350,
+  "[XXXXX562]": 50175,
+  "[XXXXX563]": 50584,
+  "[XXXXX564]": 50703,
+  "[XXXXX565]": 50989,
+  "[XXXXX566]": 50877,
+  "[XXXXX567]": 51039,
+  "[XXXXX568]": 51018,
+  "[XXXXX569]": 50452,
+  "[XXXXX56]": 51099,
+  "[XXXXX570]": 50161,
+  "[XXXXX571]": 50921,
+  "[XXXXX572]": 50676,
+  "[XXXXX573]": 50326,
+  "[XXXXX574]": 50987,
+  "[XXXXX575]": 50361,
+  "[XXXXX576]": 50071,
+  "[XXXXX577]": 50803,
+  "[XXXXX578]": 50400,
+  "[XXXXX579]": 51091,
+  "[XXXXX57]": 50501,
+  "[XXXXX580]": 50887,
+  "[XXXXX581]": 50839,
+  "[XXXXX582]": 51138,
+  "[XXXXX583]": 50816,
+  "[XXXXX584]": 50339,
+  "[XXXXX585]": 50463,
+  "[XXXXX586]": 50399,
+  "[XXXXX587]": 51070,
+  "[XXXXX588]": 50457,
+  "[XXXXX589]": 50828,
+  "[XXXXX58]": 50183,
+  "[XXXXX590]": 50080,
+  "[XXXXX591]": 50550,
+  "[XXXXX592]": 50129,
+  "[XXXXX593]": 50273,
+  "[XXXXX594]": 50388,
+  "[XXXXX595]": 50491,
+  "[XXXXX596]": 50278,
+  "[XXXXX597]": 50011,
+  "[XXXXX598]": 50254,
+  "[XXXXX599]": 50302,
+  "[XXXXX59]": 50353,
+  "[XXXXX5]": 50010,
+  "[XXXXX600]": 50704,
+  "[XXXXX601]": 51118,
+  "[XXXXX602]": 50049,
+  "[XXXXX603]": 51190,
+  "[XXXXX604]": 51142,
+  "[XXXXX605]": 50707,
+  "[XXXXX606]": 50937,
+  "[XXXXX607]": 50875,
+  "[XXXXX608]": 50564,
+  "[XXXXX609]": 50345,
+  "[XXXXX60]": 50713,
+  "[XXXXX610]": 50949,
+  "[XXXXX611]": 50978,
+  "[XXXXX612]": 50330,
+  "[XXXXX613]": 51035,
+  "[XXXXX614]": 50402,
+  "[XXXXX615]": 50176,
+  "[XXXXX616]": 51133,
+  "[XXXXX617]": 50222,
+  "[XXXXX618]": 50118,
+  "[XXXXX619]": 50196,
+  "[XXXXX61]": 50298,
+  "[XXXXX620]": 50668,
+  "[XXXXX621]": 50462,
+  "[XXXXX622]": 50218,
+  "[XXXXX623]": 51101,
+  "[XXXXX624]": 50362,
+  "[XXXXX625]": 50779,
+  "[XXXXX626]": 50513,
+  "[XXXXX627]": 50746,
+  "[XXXXX628]": 50141,
+  "[XXXXX629]": 50479,
+  "[XXXXX62]": 50056,
+  "[XXXXX630]": 51180,
+  "[XXXXX631]": 50872,
+  "[XXXXX632]": 50315,
+  "[XXXXX633]": 50397,
+  "[XXXXX634]": 51165,
+  "[XXXXX635]": 50046,
+  "[XXXXX636]": 50795,
+  "[XXXXX637]": 50959,
+  "[XXXXX638]": 50786,
+  "[XXXXX639]": 50240,
+  "[XXXXX63]": 51061,
+  "[XXXXX640]": 50601,
+  "[XXXXX641]": 50904,
+  "[XXXXX642]": 50376,
+  "[XXXXX643]": 50663,
+  "[XXXXX644]": 50613,
+  "[XXXXX645]": 50467,
+  "[XXXXX646]": 50546,
+  "[XXXXX647]": 50465,
+  "[XXXXX648]": 50395,
+  "[XXXXX649]": 50287,
+  "[XXXXX64]": 51162,
+  "[XXXXX650]": 50474,
+  "[XXXXX651]": 50727,
+  "[XXXXX652]": 50243,
+  "[XXXXX653]": 51100,
+  "[XXXXX654]": 50705,
+  "[XXXXX655]": 51012,
+  "[XXXXX656]": 50447,
+  "[XXXXX657]": 50719,
+  "[XXXXX658]": 50712,
+  "[XXXXX659]": 50476,
+  "[XXXXX65]": 50587,
+  "[XXXXX660]": 51054,
+  "[XXXXX661]": 51166,
+  "[XXXXX662]": 50494,
+  "[XXXXX663]": 50230,
+  "[XXXXX664]": 50621,
+  "[XXXXX665]": 50809,
+  "[XXXXX666]": 50265,
+  "[XXXXX667]": 50645,
+  "[XXXXX668]": 50817,
+  "[XXXXX669]": 50030,
+  "[XXXXX66]": 51029,
+  "[XXXXX670]": 51004,
+  "[XXXXX671]": 50685,
+  "[XXXXX672]": 50625,
+  "[XXXXX673]": 50890,
+  "[XXXXX674]": 50383,
+  "[XXXXX675]": 50929,
+  "[XXXXX676]": 50116,
+  "[XXXXX677]": 51072,
+  "[XXXXX678]": 51126,
+  "[XXXXX679]": 50755,
+  "[XXXXX67]": 50717,
+  "[XXXXX680]": 50303,
+  "[XXXXX681]": 50504,
+  "[XXXXX682]": 51075,
+  "[XXXXX683]": 50261,
+  "[XXXXX684]": 50861,
+  "[XXXXX685]": 50306,
+  "[XXXXX686]": 50016,
+  "[XXXXX687]": 50101,
+  "[XXXXX688]": 51098,
+  "[XXXXX689]": 50827,
+  "[XXXXX68]": 50863,
+  "[XXXXX690]": 50640,
+  "[XXXXX691]": 50031,
+  "[XXXXX692]": 50768,
+  "[XXXXX693]": 50013,
+  "[XXXXX694]": 51032,
+  "[XXXXX695]": 50166,
+  "[XXXXX696]": 50127,
+  "[XXXXX697]": 50414,
+  "[XXXXX698]": 50742,
+  "[XXXXX699]": 51042,
+  "[XXXXX69]": 51112,
+  "[XXXXX6]": 50593,
+  "[XXXXX700]": 50292,
+  "[XXXXX701]": 50174,
+  "[XXXXX702]": 50547,
+  "[XXXXX703]": 50498,
+  "[XXXXX704]": 51078,
+  "[XXXXX705]": 50133,
+  "[XXXXX706]": 50041,
+  "[XXXXX707]": 51181,
+  "[XXXXX708]": 50585,
+  "[XXXXX709]": 50776,
+  "[XXXXX70]": 50053,
+  "[XXXXX710]": 50336,
+  "[XXXXX711]": 50765,
+  "[XXXXX712]": 50224,
+  "[XXXXX713]": 50599,
+  "[XXXXX714]": 50207,
+  "[XXXXX715]": 51043,
+  "[XXXXX716]": 51090,
+  "[XXXXX717]": 50006,
+  "[XXXXX718]": 50901,
+  "[XXXXX719]": 51001,
+  "[XXXXX71]": 50954,
+  "[XXXXX720]": 50646,
+  "[XXXXX721]": 50075,
+  "[XXXXX722]": 51120,
+  "[XXXXX723]": 50215,
+  "[XXXXX724]": 50415,
+  "[XXXXX725]": 50154,
+  "[XXXXX726]": 50935,
+  "[XXXXX727]": 50545,
+  "[XXXXX728]": 51085,
+  "[XXXXX729]": 50256,
+  "[XXXXX72]": 50363,
+  "[XXXXX730]": 50700,
+  "[XXXXX731]": 50262,
+  "[XXXXX732]": 50930,
+  "[XXXXX733]": 50333,
+  "[XXXXX734]": 50884,
+  "[XXXXX735]": 51030,
+  "[XXXXX736]": 50231,
+  "[XXXXX737]": 50405,
+  "[XXXXX738]": 50962,
+  "[XXXXX739]": 50458,
+  "[XXXXX73]": 50019,
+  "[XXXXX740]": 50878,
+  "[XXXXX741]": 50910,
+  "[XXXXX742]": 50170,
+  "[XXXXX743]": 50718,
+  "[XXXXX744]": 50616,
+  "[XXXXX745]": 50358,
+  "[XXXXX746]": 50152,
+  "[XXXXX747]": 50525,
+  "[XXXXX748]": 51167,
+  "[XXXXX749]": 50653,
+  "[XXXXX74]": 50952,
+  "[XXXXX750]": 50500,
+  "[XXXXX751]": 50446,
+  "[XXXXX752]": 50995,
+  "[XXXXX753]": 50945,
+  "[XXXXX754]": 51173,
+  "[XXXXX755]": 50823,
+  "[XXXXX756]": 51060,
+  "[XXXXX757]": 50748,
+  "[XXXXX758]": 50020,
+  "[XXXXX759]": 50197,
+  "[XXXXX75]": 50502,
+  "[XXXXX760]": 50291,
+  "[XXXXX761]": 50821,
+  "[XXXXX762]": 50190,
+  "[XXXXX763]": 50745,
+  "[XXXXX764]": 50778,
+  "[XXXXX765]": 50556,
+  "[XXXXX766]": 51161,
+  "[XXXXX767]": 50466,
+  "[XXXXX768]": 50792,
+  "[XXXXX769]": 50208,
+  "[XXXXX76]": 50169,
+  "[XXXXX770]": 50647,
+  "[XXXXX771]": 50610,
+  "[XXXXX772]": 51140,
+  "[XXXXX773]": 50441,
+  "[XXXXX774]": 50870,
+  "[XXXXX775]": 50368,
+  "[XXXXX776]": 50026,
+  "[XXXXX777]": 50677,
+  "[XXXXX778]": 51168,
+  "[XXXXX779]": 50481,
+  "[XXXXX77]": 50515,
+  "[XXXXX780]": 50225,
+  "[XXXXX781]": 50408,
+  "[XXXXX782]": 50090,
+  "[XXXXX783]": 50951,
+  "[XXXXX784]": 50015,
+  "[XXXXX785]": 50658,
+  "[XXXXX786]": 50617,
+  "[XXXXX787]": 50721,
+  "[XXXXX788]": 51084,
+  "[XXXXX789]": 50830,
+  "[XXXXX78]": 50100,
+  "[XXXXX790]": 50606,
+  "[XXXXX791]": 50124,
+  "[XXXXX792]": 50078,
+  "[XXXXX793]": 51188,
+  "[XXXXX794]": 50750,
+  "[XXXXX795]": 50138,
+  "[XXXXX796]": 50239,
+  "[XXXXX797]": 50385,
+  "[XXXXX798]": 50780,
+  "[XXXXX799]": 50683,
+  "[XXXXX79]": 50436,
+  "[XXXXX7]": 50211,
+  "[XXXXX800]": 51185,
+  "[XXXXX801]": 50250,
+  "[XXXXX802]": 50456,
+  "[XXXXX803]": 50508,
+  "[XXXXX804]": 51194,
+  "[XXXXX805]": 50021,
+  "[XXXXX806]": 50307,
+  "[XXXXX807]": 50199,
+  "[XXXXX808]": 51129,
+  "[XXXXX809]": 50686,
+  "[XXXXX80]": 50370,
+  "[XXXXX810]": 50343,
+  "[XXXXX811]": 50614,
+  "[XXXXX812]": 50636,
+  "[XXXXX813]": 51198,
+  "[XXXXX814]": 50788,
+  "[XXXXX815]": 50120,
+  "[XXXXX816]": 50135,
+  "[XXXXX817]": 50293,
+  "[XXXXX818]": 50153,
+  "[XXXXX819]": 50516,
+  "[XXXXX81]": 50581,
+  "[XXXXX820]": 50586,
+  "[XXXXX821]": 50509,
+  "[XXXXX822]": 50220,
+  "[XXXXX823]": 51068,
+  "[XXXXX824]": 50946,
+  "[XXXXX825]": 50965,
+  "[XXXXX826]": 50032,
+  "[XXXXX827]": 50156,
+  "[XXXXX828]": 50449,
+  "[XXXXX829]": 50531,
+  "[XXXXX82]": 51164,
+  "[XXXXX830]": 50486,
+  "[XXXXX831]": 50357,
+  "[XXXXX832]": 51022,
+  "[XXXXX833]": 50633,
+  "[XXXXX834]": 50754,
+  "[XXXXX835]": 51134,
+  "[XXXXX836]": 50193,
+  "[XXXXX837]": 51088,
+  "[XXXXX838]": 50722,
+  "[XXXXX839]": 50756,
+  "[XXXXX83]": 50977,
+  "[XXXXX840]": 50022,
+  "[XXXXX841]": 51186,
+  "[XXXXX842]": 50575,
+  "[XXXXX843]": 50079,
+  "[XXXXX844]": 50644,
+  "[XXXXX845]": 51033,
+  "[XXXXX846]": 50454,
+  "[XXXXX847]": 50095,
+  "[XXXXX848]": 50902,
+  "[XXXXX849]": 50597,
+  "[XXXXX84]": 50167,
+  "[XXXXX850]": 51051,
+  "[XXXXX851]": 50696,
+  "[XXXXX852]": 50966,
+  "[XXXXX853]": 50034,
+  "[XXXXX854]": 50889,
+  "[XXXXX855]": 50843,
+  "[XXXXX856]": 50963,
+  "[XXXXX857]": 50227,
+  "[XXXXX858]": 51058,
+  "[XXXXX859]": 50850,
+  "[XXXXX85]": 50192,
+  "[XXXXX860]": 50228,
+  "[XXXXX861]": 50570,
+  "[XXXXX862]": 50488,
+  "[XXXXX863]": 50539,
+  "[XXXXX864]": 51182,
+  "[XXXXX865]": 50990,
+  "[XXXXX866]": 50542,
+  "[XXXXX867]": 51069,
+  "[XXXXX868]": 50480,
+  "[XXXXX869]": 50847,
+  "[XXXXX86]": 50874,
+  "[XXXXX870]": 50308,
+  "[XXXXX871]": 50510,
+  "[XXXXX872]": 50423,
+  "[XXXXX873]": 50086,
+  "[XXXXX874]": 50591,
+  "[XXXXX875]": 50728,
+  "[XXXXX876]": 50372,
+  "[XXXXX877]": 50903,
+  "[XXXXX878]": 50868,
+  "[XXXXX879]": 50763,
+  "[XXXXX87]": 50571,
+  "[XXXXX880]": 50096,
+  "[XXXXX881]": 51150,
+  "[XXXXX882]": 50460,
+  "[XXXXX883]": 51087,
+  "[XXXXX884]": 51093,
+  "[XXXXX885]": 50295,
+  "[XXXXX886]": 51037,
+  "[XXXXX887]": 51171,
+  "[XXXXX888]": 50794,
+  "[XXXXX889]": 50628,
+  "[XXXXX88]": 50520,
+  "[XXXXX890]": 51172,
+  "[XXXXX891]": 51046,
+  "[XXXXX892]": 50918,
+  "[XXXXX893]": 50998,
+  "[XXXXX894]": 50371,
+  "[XXXXX895]": 51155,
+  "[XXXXX896]": 50866,
+  "[XXXXX897]": 50229,
+  "[XXXXX898]": 51057,
+  "[XXXXX899]": 50867,
+  "[XXXXX89]": 50537,
+  "[XXXXX8]": 50784,
+  "[XXXXX900]": 50739,
+  "[XXXXX901]": 51080,
+  "[XXXXX902]": 50038,
+  "[XXXXX903]": 50321,
+  "[XXXXX904]": 50774,
+  "[XXXXX905]": 50974,
+  "[XXXXX906]": 50920,
+  "[XXXXX907]": 50469,
+  "[XXXXX908]": 51122,
+  "[XXXXX909]": 51092,
+  "[XXXXX90]": 50514,
+  "[XXXXX910]": 50798,
+  "[XXXXX911]": 50245,
+  "[XXXXX912]": 50367,
+  "[XXXXX913]": 50618,
+  "[XXXXX914]": 50072,
+  "[XXXXX915]": 50450,
+  "[XXXXX916]": 51189,
+  "[XXXXX917]": 50485,
+  "[XXXXX918]": 50283,
+  "[XXXXX919]": 50845,
+  "[XXXXX91]": 50968,
+  "[XXXXX920]": 50429,
+  "[XXXXX921]": 50364,
+  "[XXXXX922]": 50782,
+  "[XXXXX923]": 50534,
+  "[XXXXX924]": 50059,
+  "[XXXXX925]": 50102,
+  "[XXXXX926]": 50185,
+  "[XXXXX927]": 50634,
+  "[XXXXX928]": 50567,
+  "[XXXXX929]": 50895,
+  "[XXXXX92]": 50210,
+  "[XXXXX930]": 50561,
+  "[XXXXX931]": 51021,
+  "[XXXXX932]": 50107,
+  "[XXXXX933]": 50407,
+  "[XXXXX934]": 50654,
+  "[XXXXX935]": 50268,
+  "[XXXXX936]": 51153,
+  "[XXXXX937]": 50552,
+  "[XXXXX938]": 50526,
+  "[XXXXX939]": 50322,
+  "[XXXXX93]": 50912,
+  "[XXXXX940]": 50296,
+  "[XXXXX941]": 50572,
+  "[XXXXX942]": 50393,
+  "[XXXXX943]": 50312,
+  "[XXXXX944]": 50592,
+  "[XXXXX945]": 50982,
+  "[XXXXX946]": 50089,
+  "[XXXXX947]": 50331,
+  "[XXXXX948]": 50279,
+  "[XXXXX949]": 51005,
+  "[XXXXX94]": 50198,
+  "[XXXXX950]": 50114,
+  "[XXXXX951]": 50074,
+  "[XXXXX952]": 50248,
+  "[XXXXX953]": 50857,
+  "[XXXXX954]": 50841,
+  "[XXXXX955]": 51065,
+  "[XXXXX956]": 50234,
+  "[XXXXX957]": 50834,
+  "[XXXXX958]": 50535,
+  "[XXXXX959]": 51109,
+  "[XXXXX95]": 50651,
+  "[XXXXX960]": 50797,
+  "[XXXXX961]": 50914,
+  "[XXXXX962]": 50112,
+  "[XXXXX963]": 50073,
+  "[XXXXX964]": 50559,
+  "[XXXXX965]": 50933,
+  "[XXXXX966]": 50619,
+  "[XXXXX967]": 51187,
+  "[XXXXX968]": 50327,
+  "[XXXXX969]": 50698,
+  "[XXXXX96]": 50420,
+  "[XXXXX970]": 50060,
+  "[XXXXX971]": 50432,
+  "[XXXXX972]": 50620,
+  "[XXXXX973]": 50693,
+  "[XXXXX974]": 50938,
+  "[XXXXX975]": 50983,
+  "[XXXXX976]": 50334,
+  "[XXXXX977]": 50438,
+  "[XXXXX978]": 51154,
+  "[XXXXX979]": 50964,
+  "[XXXXX97]": 50672,
+  "[XXXXX980]": 50511,
+  "[XXXXX981]": 50244,
+  "[XXXXX982]": 50266,
+  "[XXXXX983]": 50134,
+  "[XXXXX984]": 50338,
+  "[XXXXX985]": 51121,
+  "[XXXXX986]": 50323,
+  "[XXXXX987]": 50909,
+  "[XXXXX988]": 51000,
+  "[XXXXX989]": 50036,
+  "[XXXXX98]": 50787,
+  "[XXXXX990]": 50512,
+  "[XXXXX991]": 50191,
+  "[XXXXX992]": 50187,
+  "[XXXXX993]": 51156,
+  "[XXXXX994]": 51135,
+  "[XXXXX995]": 50355,
+  "[XXXXX996]": 51027,
+  "[XXXXX997]": 50297,
+  "[XXXXX998]": 50928,
+  "[XXXXX999]": 50697,
+  "[XXXXX99]": 50980,
+  "[XXXXX9]": 50961
+}
diff --git a/checkpoint-7000/config.json b/checkpoint-7000/config.json
new file mode 100644
index 0000000..000c292
--- /dev/null
+++ b/checkpoint-7000/config.json
@@ -0,0 +1,34 @@
+{
+  "activation_function": "gelu",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50000,
+  "dtype": "bfloat16",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50001,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 512,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": 3072,
+  "n_layer": 12,
+  "n_positions": 512,
+  "pad_token_id": 50002,
+  "prefix": "[CLS]",
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "vocab_size": 51200
+}
diff --git a/checkpoint-7000/generation_config.json b/checkpoint-7000/generation_config.json
new file mode 100644
index 0000000..4c122f0
--- /dev/null
+++ b/checkpoint-7000/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50000,
+  "eos_token_id": [
+    50001
+  ],
+  "pad_token_id": 50002,
+  "transformers_version": "4.56.2"
+}
diff --git a/checkpoint-7000/model.safetensors b/checkpoint-7000/model.safetensors
new file mode 100644
index 0000000..0ca1fe6
--- /dev/null
+++ b/checkpoint-7000/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a133aad3717f80f31ef487baa04fb751f0a83fc4baf26eb5363ebcc4cf938b0f
+size 249556672
diff --git a/checkpoint-7000/rng_state.pth b/checkpoint-7000/rng_state.pth
new file mode 100644
index 0000000..4edcf7c
--- /dev/null
+++ b/checkpoint-7000/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7034ff011020e322c820caf5af6d27c7be5564bf7ad1eb1b70ae3788d42280f1
+size 14645
diff --git a/checkpoint-7000/special_tokens_map.json b/checkpoint-7000/special_tokens_map.json
new file mode 100644
index 0000000..c78a835
--- /dev/null
+++ b/checkpoint-7000/special_tokens_map.json
@@ -0,0 +1,1249 @@
+{
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/checkpoint-7000/spiece.model b/checkpoint-7000/spiece.model
new file mode 100644
index 0000000..85d6e93
--- /dev/null
+++ b/checkpoint-7000/spiece.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:762a1e078899c6ba7ef62ef873a57b860c51cc0518791854659b58b4c89742fe
+size 1170764
diff --git a/checkpoint-7000/tokenizer_config.json b/checkpoint-7000/tokenizer_config.json
new file mode 100644
index 0000000..b27d01f
--- /dev/null
+++ b/checkpoint-7000/tokenizer_config.json
@@ -0,0 +1,10825 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50000": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50001": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50002": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50003": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50004": {
+      "content": "[XXXXX160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50005": {
+      "content": "[XXXXX240]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50006": {
+      "content": "[XXXXX717]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50007": {
+      "content": "[XXXXX23]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50008": {
+      "content": "[XXXXX161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50009": {
+      "content": "[XXXXX1156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50010": {
+      "content": "[XXXXX5]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50011": {
+      "content": "[XXXXX597]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50012": {
+      "content": "[XXXXX415]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50013": {
+      "content": "[XXXXX693]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50014": {
+      "content": "[XXXXX1083]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50015": {
+      "content": "[XXXXX784]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50016": {
+      "content": "[XXXXX686]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50017": {
+      "content": "[XXXXX379]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50018": {
+      "content": "[XXXXX335]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50019": {
+      "content": "[XXXXX73]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50020": {
+      "content": "[XXXXX758]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50021": {
+      "content": "[XXXXX805]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50022": {
+      "content": "[XXXXX840]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50023": {
+      "content": "[XXXXX1037]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50024": {
+      "content": "[XXXXX235]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50025": {
+      "content": "[XXXXX1107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50026": {
+      "content": "[XXXXX776]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50027": {
+      "content": "[XXXXX286]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50028": {
+      "content": "[XXXXX396]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50029": {
+      "content": "[XXXXX478]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50030": {
+      "content": "[XXXXX669]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50031": {
+      "content": "[XXXXX691]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50032": {
+      "content": "[XXXXX826]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50033": {
+      "content": "[XXXXX1150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50034": {
+      "content": "[XXXXX853]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50035": {
+      "content": "[XXXXX130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50036": {
+      "content": "[XXXXX989]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50037": {
+      "content": "[XXXXX249]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50038": {
+      "content": "[XXXXX902]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50039": {
+      "content": "[XXXXX1169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50040": {
+      "content": "[XXXXX260]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50041": {
+      "content": "[XXXXX706]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50042": {
+      "content": "[XXXXX146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50043": {
+      "content": "[XXXXX198]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50044": {
+      "content": "[XXXXX303]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50045": {
+      "content": "[XXXXX1192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50046": {
+      "content": "[XXXXX635]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50047": {
+      "content": "[XXXXX271]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50048": {
+      "content": "[XXXXX1023]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50049": {
+      "content": "[XXXXX602]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50050": {
+      "content": "[XXXXX291]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50051": {
+      "content": "[XXXXX190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50052": {
+      "content": "[XXXXX1055]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50053": {
+      "content": "[XXXXX70]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50054": {
+      "content": "[XXXXX178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50055": {
+      "content": "[XXXXX318]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50056": {
+      "content": "[XXXXX62]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50057": {
+      "content": "[XXXXX473]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50058": {
+      "content": "[XXXXX517]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50059": {
+      "content": "[XXXXX924]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50060": {
+      "content": "[XXXXX970]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50061": {
+      "content": "[XXXXX1033]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50062": {
+      "content": "[XXXXX110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50063": {
+      "content": "[XXXXX1151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50064": {
+      "content": "[XXXXX1189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50065": {
+      "content": "[XXXXX1095]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50066": {
+      "content": "[XXXXX148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50067": {
+      "content": "[XXXXX337]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50068": {
+      "content": "[XXXXX245]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50069": {
+      "content": "[XXXXX407]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50070": {
+      "content": "[XXXXX557]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50071": {
+      "content": "[XXXXX576]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50072": {
+      "content": "[XXXXX914]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50073": {
+      "content": "[XXXXX963]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50074": {
+      "content": "[XXXXX951]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50075": {
+      "content": "[XXXXX721]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50076": {
+      "content": "[XXXXX1174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50077": {
+      "content": "[XXXXX3]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50078": {
+      "content": "[XXXXX792]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50079": {
+      "content": "[XXXXX843]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50080": {
+      "content": "[XXXXX590]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50081": {
+      "content": "[XXXXX118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50082": {
+      "content": "[XXXXX280]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50083": {
+      "content": "[XXXXX1119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50084": {
+      "content": "[XXXXX1025]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50085": {
+      "content": "[XXXXX140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50086": {
+      "content": "[XXXXX873]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50087": {
+      "content": "[XXXXX103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50088": {
+      "content": "[XXXXX307]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50089": {
+      "content": "[XXXXX946]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50090": {
+      "content": "[XXXXX782]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50091": {
+      "content": "[XXXXX100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50092": {
+      "content": "[XXXXX485]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50093": {
+      "content": "[XXXXX151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50094": {
+      "content": "[XXXXX213]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50095": {
+      "content": "[XXXXX847]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50096": {
+      "content": "[XXXXX880]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50097": {
+      "content": "[XXXXX44]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50098": {
+      "content": "[XXXXX1031]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50099": {
+      "content": "[XXXXX545]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50100": {
+      "content": "[XXXXX78]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50101": {
+      "content": "[XXXXX687]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50102": {
+      "content": "[XXXXX925]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50103": {
+      "content": "[XXXXX519]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50104": {
+      "content": "[XXXXX1191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50105": {
+      "content": "[XXXXX13]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50106": {
+      "content": "[XXXXX487]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50107": {
+      "content": "[XXXXX932]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50108": {
+      "content": "[XXXXX119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50109": {
+      "content": "[XXXXX170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50110": {
+      "content": "[XXXXX254]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50111": {
+      "content": "[XXXXX420]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50112": {
+      "content": "[XXXXX962]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50113": {
+      "content": "[XXXXX441]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50114": {
+      "content": "[XXXXX950]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50115": {
+      "content": "[XXXXX18]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50116": {
+      "content": "[XXXXX676]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50117": {
+      "content": "[XXXXX1133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50118": {
+      "content": "[XXXXX618]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50119": {
+      "content": "[XXXXX374]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50120": {
+      "content": "[XXXXX815]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50121": {
+      "content": "[XXXXX1058]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50122": {
+      "content": "[XXXXX1108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50123": {
+      "content": "[XXXXX1144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50124": {
+      "content": "[XXXXX791]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50125": {
+      "content": "[XXXXX259]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50126": {
+      "content": "[XXXXX1074]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50127": {
+      "content": "[XXXXX696]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50128": {
+      "content": "[XXXXX1168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50129": {
+      "content": "[XXXXX592]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50130": {
+      "content": "[XXXXX127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50131": {
+      "content": "[XXXXX136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50132": {
+      "content": "[XXXXX237]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50133": {
+      "content": "[XXXXX705]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50134": {
+      "content": "[XXXXX983]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50135": {
+      "content": "[XXXXX816]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50136": {
+      "content": "[XXXXX412]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50137": {
+      "content": "[XXXXX410]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50138": {
+      "content": "[XXXXX795]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50139": {
+      "content": "[XXXXX101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50140": {
+      "content": "[XXXXX171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50141": {
+      "content": "[XXXXX628]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50142": {
+      "content": "[XXXXX1038]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50143": {
+      "content": "[XXXXX447]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50144": {
+      "content": "[XXXXX1043]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50145": {
+      "content": "[XXXXX147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50146": {
+      "content": "[XXXXX1112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50147": {
+      "content": "[XXXXX186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50148": {
+      "content": "[XXXXX461]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50149": {
+      "content": "[XXXXX423]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50150": {
+      "content": "[XXXXX26]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50151": {
+      "content": "[XXXXX227]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50152": {
+      "content": "[XXXXX746]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50153": {
+      "content": "[XXXXX818]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50154": {
+      "content": "[XXXXX725]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50155": {
+      "content": "[XXXXX400]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50156": {
+      "content": "[XXXXX827]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50157": {
+      "content": "[XXXXX1020]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50158": {
+      "content": "[XXXXX1060]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50159": {
+      "content": "[XXXXX195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50160": {
+      "content": "[XXXXX526]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50161": {
+      "content": "[XXXXX570]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50162": {
+      "content": "[XXXXX174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50163": {
+      "content": "[XXXXX333]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50164": {
+      "content": "[XXXXX466]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50165": {
+      "content": "[XXXXX513]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50166": {
+      "content": "[XXXXX695]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50167": {
+      "content": "[XXXXX84]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50168": {
+      "content": "[XXXXX1080]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50169": {
+      "content": "[XXXXX76]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50170": {
+      "content": "[XXXXX742]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50171": {
+      "content": "[XXXXX1008]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50172": {
+      "content": "[XXXXX1123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50173": {
+      "content": "[XXXXX1145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50174": {
+      "content": "[XXXXX701]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50175": {
+      "content": "[XXXXX562]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50176": {
+      "content": "[XXXXX615]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50177": {
+      "content": "[XXXXX389]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50178": {
+      "content": "[XXXXX267]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50179": {
+      "content": "[XXXXX323]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50180": {
+      "content": "[XXXXX346]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50181": {
+      "content": "[XXXXX287]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50182": {
+      "content": "[XXXXX469]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50183": {
+      "content": "[XXXXX58]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50184": {
+      "content": "[XXXXX431]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50185": {
+      "content": "[XXXXX926]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50186": {
+      "content": "[XXXXX1182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50187": {
+      "content": "[XXXXX992]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50188": {
+      "content": "[XXXXX185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50189": {
+      "content": "[XXXXX352]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50190": {
+      "content": "[XXXXX762]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50191": {
+      "content": "[XXXXX991]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50192": {
+      "content": "[XXXXX85]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50193": {
+      "content": "[XXXXX836]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50194": {
+      "content": "[XXXXX460]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50195": {
+      "content": "[XXXXX272]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50196": {
+      "content": "[XXXXX619]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50197": {
+      "content": "[XXXXX759]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50198": {
+      "content": "[XXXXX94]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50199": {
+      "content": "[XXXXX807]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50200": {
+      "content": "[XXXXX299]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50201": {
+      "content": "[XXXXX187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50202": {
+      "content": "[XXXXX486]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50203": {
+      "content": "[XXXXX45]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50204": {
+      "content": "[XXXXX1036]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50205": {
+      "content": "[XXXXX354]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50206": {
+      "content": "[XXXXX386]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50207": {
+      "content": "[XXXXX714]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50208": {
+      "content": "[XXXXX769]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50209": {
+      "content": "[XXXXX304]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50210": {
+      "content": "[XXXXX92]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50211": {
+      "content": "[XXXXX7]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50212": {
+      "content": "[XXXXX31]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50213": {
+      "content": "[XXXXX102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50214": {
+      "content": "[XXXXX163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50215": {
+      "content": "[XXXXX723]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50216": {
+      "content": "[XXXXX1042]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50217": {
+      "content": "[XXXXX452]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50218": {
+      "content": "[XXXXX622]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50219": {
+      "content": "[XXXXX1056]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50220": {
+      "content": "[XXXXX822]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50221": {
+      "content": "[XXXXX125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50222": {
+      "content": "[XXXXX617]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50223": {
+      "content": "[XXXXX34]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50224": {
+      "content": "[XXXXX712]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50225": {
+      "content": "[XXXXX780]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50226": {
+      "content": "[XXXXX547]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50227": {
+      "content": "[XXXXX857]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50228": {
+      "content": "[XXXXX860]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50229": {
+      "content": "[XXXXX897]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50230": {
+      "content": "[XXXXX663]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50231": {
+      "content": "[XXXXX736]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50232": {
+      "content": "[XXXXX202]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50233": {
+      "content": "[XXXXX1029]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50234": {
+      "content": "[XXXXX956]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50235": {
+      "content": "[XXXXX397]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50236": {
+      "content": "[XXXXX239]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50237": {
+      "content": "[XXXXX472]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50238": {
+      "content": "[XXXXX230]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50239": {
+      "content": "[XXXXX796]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50240": {
+      "content": "[XXXXX639]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50241": {
+      "content": "[XXXXX203]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50242": {
+      "content": "[XXXXX231]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50243": {
+      "content": "[XXXXX652]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50244": {
+      "content": "[XXXXX981]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50245": {
+      "content": "[XXXXX911]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50246": {
+      "content": "[XXXXX380]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50247": {
+      "content": "[XXXXX477]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50248": {
+      "content": "[XXXXX952]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50249": {
+      "content": "[XXXXX28]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50250": {
+      "content": "[XXXXX801]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50251": {
+      "content": "[XXXXX1134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50252": {
+      "content": "[XXXXX1176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50253": {
+      "content": "[XXXXX180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50254": {
+      "content": "[XXXXX598]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50255": {
+      "content": "[XXXXX365]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50256": {
+      "content": "[XXXXX729]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50257": {
+      "content": "[XXXXX214]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50258": {
+      "content": "[XXXXX1117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50259": {
+      "content": "[XXXXX278]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50260": {
+      "content": "[XXXXX522]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50261": {
+      "content": "[XXXXX683]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50262": {
+      "content": "[XXXXX731]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50263": {
+      "content": "[XXXXX312]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "[XXXXX1178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50265": {
+      "content": "[XXXXX666]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50266": {
+      "content": "[XXXXX982]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50267": {
+      "content": "[XXXXX414]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50268": {
+      "content": "[XXXXX935]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50269": {
+      "content": "[XXXXX1089]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50270": {
+      "content": "[XXXXX236]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50271": {
+      "content": "[XXXXX463]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50272": {
+      "content": "[XXXXX52]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50273": {
+      "content": "[XXXXX593]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50274": {
+      "content": "[XXXXX508]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50275": {
+      "content": "[XXXXX1125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50276": {
+      "content": "[XXXXX462]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50277": {
+      "content": "[XXXXX32]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50278": {
+      "content": "[XXXXX596]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50279": {
+      "content": "[XXXXX948]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50280": {
+      "content": "[XXXXX150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50281": {
+      "content": "[XXXXX322]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50282": {
+      "content": "[XXXXX390]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50283": {
+      "content": "[XXXXX918]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50284": {
+      "content": "[XXXXX157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50285": {
+      "content": "[XXXXX310]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50286": {
+      "content": "[XXXXX392]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50287": {
+      "content": "[XXXXX649]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50288": {
+      "content": "[XXXXX158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50289": {
+      "content": "[XXXXX430]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50290": {
+      "content": "[XXXXX384]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50291": {
+      "content": "[XXXXX760]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50292": {
+      "content": "[XXXXX700]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50293": {
+      "content": "[XXXXX817]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50294": {
+      "content": "[XXXXX115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50295": {
+      "content": "[XXXXX885]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50296": {
+      "content": "[XXXXX940]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50297": {
+      "content": "[XXXXX997]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50298": {
+      "content": "[XXXXX61]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50299": {
+      "content": "[XXXXX209]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50300": {
+      "content": "[XXXXX316]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50301": {
+      "content": "[XXXXX537]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50302": {
+      "content": "[XXXXX599]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50303": {
+      "content": "[XXXXX680]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50304": {
+      "content": "[XXXXX135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50305": {
+      "content": "[XXXXX39]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50306": {
+      "content": "[XXXXX685]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50307": {
+      "content": "[XXXXX806]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50308": {
+      "content": "[XXXXX870]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50309": {
+      "content": "[XXXXX1096]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50310": {
+      "content": "[XXXXX366]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50311": {
+      "content": "[XXXXX509]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50312": {
+      "content": "[XXXXX943]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50313": {
+      "content": "[XXXXX292]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50314": {
+      "content": "[XXXXX367]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50315": {
+      "content": "[XXXXX632]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50316": {
+      "content": "[XXXXX1136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50317": {
+      "content": "[XXXXX156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50318": {
+      "content": "[XXXXX1100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50319": {
+      "content": "[XXXXX432]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50320": {
+      "content": "[XXXXX514]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50321": {
+      "content": "[XXXXX903]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50322": {
+      "content": "[XXXXX939]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50323": {
+      "content": "[XXXXX986]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50324": {
+      "content": "[XXXXX506]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50325": {
+      "content": "[XXXXX10]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50326": {
+      "content": "[XXXXX573]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50327": {
+      "content": "[XXXXX968]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50328": {
+      "content": "[XXXXX1039]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50329": {
+      "content": "[XXXXX252]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50330": {
+      "content": "[XXXXX612]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50331": {
+      "content": "[XXXXX947]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50332": {
+      "content": "[XXXXX1162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50333": {
+      "content": "[XXXXX733]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50334": {
+      "content": "[XXXXX976]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50335": {
+      "content": "[XXXXX535]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50336": {
+      "content": "[XXXXX710]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50337": {
+      "content": "[XXXXX40]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50338": {
+      "content": "[XXXXX984]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50339": {
+      "content": "[XXXXX584]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50340": {
+      "content": "[XXXXX132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50341": {
+      "content": "[XXXXX1084]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50342": {
+      "content": "[XXXXX549]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50343": {
+      "content": "[XXXXX810]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50344": {
+      "content": "[XXXXX208]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50345": {
+      "content": "[XXXXX609]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50346": {
+      "content": "[XXXXX275]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50347": {
+      "content": "[XXXXX262]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50348": {
+      "content": "[XXXXX331]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50349": {
+      "content": "[XXXXX361]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50350": {
+      "content": "[XXXXX561]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50351": {
+      "content": "[XXXXX143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50352": {
+      "content": "[XXXXX1061]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50353": {
+      "content": "[XXXXX59]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50354": {
+      "content": "[XXXXX21]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50355": {
+      "content": "[XXXXX995]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50356": {
+      "content": "[XXXXX439]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50357": {
+      "content": "[XXXXX831]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50358": {
+      "content": "[XXXXX745]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50359": {
+      "content": "[XXXXX43]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50360": {
+      "content": "[XXXXX498]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50361": {
+      "content": "[XXXXX575]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50362": {
+      "content": "[XXXXX624]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50363": {
+      "content": "[XXXXX72]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50364": {
+      "content": "[XXXXX921]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50365": {
+      "content": "[XXXXX201]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50366": {
+      "content": "[XXXXX1171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50367": {
+      "content": "[XXXXX912]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50368": {
+      "content": "[XXXXX775]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50369": {
+      "content": "[XXXXX1094]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50370": {
+      "content": "[XXXXX80]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50371": {
+      "content": "[XXXXX894]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50372": {
+      "content": "[XXXXX876]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50373": {
+      "content": "[XXXXX1143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50374": {
+      "content": "[XXXXX355]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50375": {
+      "content": "[XXXXX450]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50376": {
+      "content": "[XXXXX642]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50377": {
+      "content": "[XXXXX162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50378": {
+      "content": "[XXXXX394]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50379": {
+      "content": "[XXXXX296]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50380": {
+      "content": "[XXXXX536]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50381": {
+      "content": "[XXXXX560]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50382": {
+      "content": "[XXXXX373]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50383": {
+      "content": "[XXXXX674]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50384": {
+      "content": "[XXXXX1099]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50385": {
+      "content": "[XXXXX797]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50386": {
+      "content": "[XXXXX516]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50387": {
+      "content": "[XXXXX41]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50388": {
+      "content": "[XXXXX594]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50389": {
+      "content": "[XXXXX319]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50390": {
+      "content": "[XXXXX165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50391": {
+      "content": "[XXXXX344]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50392": {
+      "content": "[XXXXX1012]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50393": {
+      "content": "[XXXXX942]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50394": {
+      "content": "[XXXXX1071]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50395": {
+      "content": "[XXXXX648]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50396": {
+      "content": "[XXXXX4]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50397": {
+      "content": "[XXXXX633]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50398": {
+      "content": "[XXXXX551]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50399": {
+      "content": "[XXXXX586]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50400": {
+      "content": "[XXXXX578]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50401": {
+      "content": "[XXXXX348]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50402": {
+      "content": "[XXXXX614]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50403": {
+      "content": "[XXXXX33]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50404": {
+      "content": "[XXXXX1193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50405": {
+      "content": "[XXXXX737]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50406": {
+      "content": "[XXXXX233]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50407": {
+      "content": "[XXXXX933]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50408": {
+      "content": "[XXXXX781]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50409": {
+      "content": "[XXXXX189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50410": {
+      "content": "[XXXXX1006]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50411": {
+      "content": "[XXXXX219]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50412": {
+      "content": "[XXXXX454]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50413": {
+      "content": "[XXXXX449]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50414": {
+      "content": "[XXXXX697]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50415": {
+      "content": "[XXXXX724]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50416": {
+      "content": "[XXXXX224]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50417": {
+      "content": "[XXXXX1157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50418": {
+      "content": "[XXXXX455]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50419": {
+      "content": "[XXXXX505]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50420": {
+      "content": "[XXXXX96]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50421": {
+      "content": "[XXXXX182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50422": {
+      "content": "[XXXXX424]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50423": {
+      "content": "[XXXXX872]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50424": {
+      "content": "[XXXXX1163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50425": {
+      "content": "[XXXXX1081]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50426": {
+      "content": "[XXXXX1173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50427": {
+      "content": "[XXXXX172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50428": {
+      "content": "[XXXXX507]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50429": {
+      "content": "[XXXXX920]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50430": {
+      "content": "[XXXXX1126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50431": {
+      "content": "[XXXXX474]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50432": {
+      "content": "[XXXXX971]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50433": {
+      "content": "[XXXXX1049]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50434": {
+      "content": "[XXXXX1114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50435": {
+      "content": "[XXXXX1040]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50436": {
+      "content": "[XXXXX79]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50437": {
+      "content": "[XXXXX36]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50438": {
+      "content": "[XXXXX977]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50439": {
+      "content": "[XXXXX1129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50440": {
+      "content": "[XXXXX1063]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50441": {
+      "content": "[XXXXX773]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50442": {
+      "content": "[XXXXX16]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50443": {
+      "content": "[XXXXX113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50444": {
+      "content": "[XXXXX320]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50445": {
+      "content": "[XXXXX167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50446": {
+      "content": "[XXXXX751]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50447": {
+      "content": "[XXXXX656]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50448": {
+      "content": "[XXXXX543]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50449": {
+      "content": "[XXXXX828]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50450": {
+      "content": "[XXXXX915]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50451": {
+      "content": "[XXXXX1098]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50452": {
+      "content": "[XXXXX569]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50453": {
+      "content": "[XXXXX1166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50454": {
+      "content": "[XXXXX846]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50455": {
+      "content": "[XXXXX324]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50456": {
+      "content": "[XXXXX802]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50457": {
+      "content": "[XXXXX588]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50458": {
+      "content": "[XXXXX739]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50459": {
+      "content": "[XXXXX50]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50460": {
+      "content": "[XXXXX882]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50461": {
+      "content": "[XXXXX1054]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50462": {
+      "content": "[XXXXX621]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50463": {
+      "content": "[XXXXX585]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50464": {
+      "content": "[XXXXX121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50465": {
+      "content": "[XXXXX647]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50466": {
+      "content": "[XXXXX767]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50467": {
+      "content": "[XXXXX645]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50468": {
+      "content": "[XXXXX27]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50469": {
+      "content": "[XXXXX907]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50470": {
+      "content": "[XXXXX1109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50471": {
+      "content": "[XXXXX1147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50472": {
+      "content": "[XXXXX501]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50473": {
+      "content": "[XXXXX1164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50474": {
+      "content": "[XXXXX650]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50475": {
+      "content": "[XXXXX329]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50476": {
+      "content": "[XXXXX659]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50477": {
+      "content": "[XXXXX1158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50478": {
+      "content": "[XXXXX104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50479": {
+      "content": "[XXXXX629]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50480": {
+      "content": "[XXXXX868]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50481": {
+      "content": "[XXXXX779]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50482": {
+      "content": "[XXXXX17]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50483": {
+      "content": "[XXXXX377]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50484": {
+      "content": "[XXXXX467]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50485": {
+      "content": "[XXXXX917]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50486": {
+      "content": "[XXXXX830]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50487": {
+      "content": "[XXXXX533]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50488": {
+      "content": "[XXXXX862]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50489": {
+      "content": "[XXXXX1041]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50490": {
+      "content": "[XXXXX542]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50491": {
+      "content": "[XXXXX595]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50492": {
+      "content": "[XXXXX353]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50493": {
+      "content": "[XXXXX181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50494": {
+      "content": "[XXXXX662]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50495": {
+      "content": "[XXXXX1195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50496": {
+      "content": "[XXXXX435]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50497": {
+      "content": "[XXXXX1051]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50498": {
+      "content": "[XXXXX703]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50499": {
+      "content": "[XXXXX1140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50500": {
+      "content": "[XXXXX750]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50501": {
+      "content": "[XXXXX57]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50502": {
+      "content": "[XXXXX75]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50503": {
+      "content": "[XXXXX293]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50504": {
+      "content": "[XXXXX681]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50505": {
+      "content": "[XXXXX46]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50506": {
+      "content": "[XXXXX30]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50507": {
+      "content": "[XXXXX402]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50508": {
+      "content": "[XXXXX803]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50509": {
+      "content": "[XXXXX821]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50510": {
+      "content": "[XXXXX871]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50511": {
+      "content": "[XXXXX980]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50512": {
+      "content": "[XXXXX990]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50513": {
+      "content": "[XXXXX626]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50514": {
+      "content": "[XXXXX90]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50515": {
+      "content": "[XXXXX77]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50516": {
+      "content": "[XXXXX819]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50517": {
+      "content": "[XXXXX436]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50518": {
+      "content": "[XXXXX306]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50519": {
+      "content": "[XXXXX434]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50520": {
+      "content": "[XXXXX88]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50521": {
+      "content": "[XXXXX184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50522": {
+      "content": "[XXXXX290]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50523": {
+      "content": "[XXXXX216]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50524": {
+      "content": "[XXXXX176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50525": {
+      "content": "[XXXXX747]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50526": {
+      "content": "[XXXXX938]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50527": {
+      "content": "[XXXXX442]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50528": {
+      "content": "[XXXXX301]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50529": {
+      "content": "[XXXXX1015]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50530": {
+      "content": "[XXXXX520]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50531": {
+      "content": "[XXXXX829]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50532": {
+      "content": "[XXXXX106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50533": {
+      "content": "[XXXXX1048]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50534": {
+      "content": "[XXXXX923]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50535": {
+      "content": "[XXXXX958]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50536": {
+      "content": "[XXXXX1130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50537": {
+      "content": "[XXXXX89]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50538": {
+      "content": "[XXXXX548]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50539": {
+      "content": "[XXXXX863]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50540": {
+      "content": "[XXXXX444]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50541": {
+      "content": "[XXXXX1149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50542": {
+      "content": "[XXXXX866]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50543": {
+      "content": "[XXXXX109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50544": {
+      "content": "[XXXXX550]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50545": {
+      "content": "[XXXXX727]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50546": {
+      "content": "[XXXXX646]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50547": {
+      "content": "[XXXXX702]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50548": {
+      "content": "[XXXXX204]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50549": {
+      "content": "[XXXXX1000]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50550": {
+      "content": "[XXXXX591]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50551": {
+      "content": "[XXXXX1128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50552": {
+      "content": "[XXXXX937]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50553": {
+      "content": "[XXXXX141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50554": {
+      "content": "[XXXXX273]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50555": {
+      "content": "[XXXXX1183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50556": {
+      "content": "[XXXXX765]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50557": {
+      "content": "[XXXXX371]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50558": {
+      "content": "[XXXXX256]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50559": {
+      "content": "[XXXXX964]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50560": {
+      "content": "[XXXXX1148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50561": {
+      "content": "[XXXXX930]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50562": {
+      "content": "[XXXXX212]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50563": {
+      "content": "[XXXXX133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50564": {
+      "content": "[XXXXX608]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50565": {
+      "content": "[XXXXX281]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50566": {
+      "content": "[XXXXX1045]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50567": {
+      "content": "[XXXXX928]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50568": {
+      "content": "[XXXXX1154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50569": {
+      "content": "[XXXXX334]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50570": {
+      "content": "[XXXXX861]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50571": {
+      "content": "[XXXXX87]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50572": {
+      "content": "[XXXXX941]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50573": {
+      "content": "[XXXXX359]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50574": {
+      "content": "[XXXXX55]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50575": {
+      "content": "[XXXXX842]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50576": {
+      "content": "[XXXXX427]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50577": {
+      "content": "[XXXXX491]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50578": {
+      "content": "[XXXXX137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50579": {
+      "content": "[XXXXX47]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50580": {
+      "content": "[XXXXX511]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50581": {
+      "content": "[XXXXX81]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50582": {
+      "content": "[XXXXX139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50583": {
+      "content": "[XXXXX226]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50584": {
+      "content": "[XXXXX563]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50585": {
+      "content": "[XXXXX708]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50586": {
+      "content": "[XXXXX820]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50587": {
+      "content": "[XXXXX65]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50588": {
+      "content": "[XXXXX381]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50589": {
+      "content": "[XXXXX22]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50590": {
+      "content": "[XXXXX1064]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50591": {
+      "content": "[XXXXX874]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50592": {
+      "content": "[XXXXX944]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50593": {
+      "content": "[XXXXX6]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50594": {
+      "content": "[XXXXX313]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50595": {
+      "content": "[XXXXX471]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50596": {
+      "content": "[XXXXX1118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50597": {
+      "content": "[XXXXX849]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50598": {
+      "content": "[XXXXX483]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50599": {
+      "content": "[XXXXX713]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50600": {
+      "content": "[XXXXX222]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50601": {
+      "content": "[XXXXX640]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50602": {
+      "content": "[XXXXX12]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50603": {
+      "content": "[XXXXX285]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50604": {
+      "content": "[XXXXX327]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50605": {
+      "content": "[XXXXX378]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50606": {
+      "content": "[XXXXX790]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50607": {
+      "content": "[XXXXX1179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50608": {
+      "content": "[XXXXX15]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50609": {
+      "content": "[XXXXX229]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50610": {
+      "content": "[XXXXX771]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50611": {
+      "content": "[XXXXX559]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50612": {
+      "content": "[XXXXX253]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50613": {
+      "content": "[XXXXX644]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50614": {
+      "content": "[XXXXX811]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50615": {
+      "content": "[XXXXX554]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50616": {
+      "content": "[XXXXX744]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50617": {
+      "content": "[XXXXX786]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50618": {
+      "content": "[XXXXX913]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50619": {
+      "content": "[XXXXX966]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50620": {
+      "content": "[XXXXX972]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50621": {
+      "content": "[XXXXX664]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50622": {
+      "content": "[XXXXX1131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50623": {
+      "content": "[XXXXX1132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50624": {
+      "content": "[XXXXX376]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50625": {
+      "content": "[XXXXX672]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50626": {
+      "content": "[XXXXX1013]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50627": {
+      "content": "[XXXXX328]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50628": {
+      "content": "[XXXXX889]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50629": {
+      "content": "[XXXXX1141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50630": {
+      "content": "[XXXXX429]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50631": {
+      "content": "[XXXXX114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50632": {
+      "content": "[XXXXX523]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50633": {
+      "content": "[XXXXX833]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50634": {
+      "content": "[XXXXX927]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50635": {
+      "content": "[XXXXX297]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50636": {
+      "content": "[XXXXX812]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50637": {
+      "content": "[XXXXX1062]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50638": {
+      "content": "[XXXXX152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50639": {
+      "content": "[XXXXX1010]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50640": {
+      "content": "[XXXXX690]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50641": {
+      "content": "[XXXXX363]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50642": {
+      "content": "[XXXXX1103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50643": {
+      "content": "[XXXXX194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50644": {
+      "content": "[XXXXX844]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50645": {
+      "content": "[XXXXX667]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50646": {
+      "content": "[XXXXX720]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50647": {
+      "content": "[XXXXX770]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50648": {
+      "content": "[XXXXX515]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50649": {
+      "content": "[XXXXX196]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50650": {
+      "content": "[XXXXX283]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50651": {
+      "content": "[XXXXX95]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50652": {
+      "content": "[XXXXX528]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50653": {
+      "content": "[XXXXX749]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50654": {
+      "content": "[XXXXX934]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50655": {
+      "content": "[XXXXX1052]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50656": {
+      "content": "[XXXXX1188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50657": {
+      "content": "[XXXXX1001]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50658": {
+      "content": "[XXXXX785]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50659": {
+      "content": "[XXXXX393]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50660": {
+      "content": "[XXXXX502]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50661": {
+      "content": "[XXXXX404]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50662": {
+      "content": "[XXXXX129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50663": {
+      "content": "[XXXXX643]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50664": {
+      "content": "[XXXXX1086]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50665": {
+      "content": "[XXXXX1104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50666": {
+      "content": "[XXXXX326]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50667": {
+      "content": "[XXXXX330]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50668": {
+      "content": "[XXXXX620]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50669": {
+      "content": "[XXXXX193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50670": {
+      "content": "[XXXXX470]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50671": {
+      "content": "[XXXXX279]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50672": {
+      "content": "[XXXXX97]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50673": {
+      "content": "[XXXXX177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50674": {
+      "content": "[XXXXX510]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50675": {
+      "content": "[XXXXX225]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50676": {
+      "content": "[XXXXX572]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50677": {
+      "content": "[XXXXX777]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50678": {
+      "content": "[XXXXX1135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50679": {
+      "content": "[XXXXX1160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50680": {
+      "content": "[XXXXX558]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50681": {
+      "content": "[XXXXX416]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50682": {
+      "content": "[XXXXX246]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50683": {
+      "content": "[XXXXX799]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50684": {
+      "content": "[XXXXX153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50685": {
+      "content": "[XXXXX671]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50686": {
+      "content": "[XXXXX809]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50687": {
+      "content": "[XXXXX525]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50688": {
+      "content": "[XXXXX1004]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50689": {
+      "content": "[XXXXX1005]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50690": {
+      "content": "[XXXXX1194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50691": {
+      "content": "[XXXXX408]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50692": {
+      "content": "[XXXXX492]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50693": {
+      "content": "[XXXXX973]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50694": {
+      "content": "[XXXXX242]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50695": {
+      "content": "[XXXXX357]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50696": {
+      "content": "[XXXXX851]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50697": {
+      "content": "[XXXXX999]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50698": {
+      "content": "[XXXXX969]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50699": {
+      "content": "[XXXXX453]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50700": {
+      "content": "[XXXXX730]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50701": {
+      "content": "[XXXXX54]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50702": {
+      "content": "[XXXXX480]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50703": {
+      "content": "[XXXXX564]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50704": {
+      "content": "[XXXXX600]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50705": {
+      "content": "[XXXXX654]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50706": {
+      "content": "[XXXXX37]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50707": {
+      "content": "[XXXXX605]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50708": {
+      "content": "[XXXXX164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50709": {
+      "content": "[XXXXX395]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50710": {
+      "content": "[XXXXX401]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50711": {
+      "content": "[XXXXX446]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50712": {
+      "content": "[XXXXX658]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50713": {
+      "content": "[XXXXX60]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50714": {
+      "content": "[XXXXX107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50715": {
+      "content": "[XXXXX131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50716": {
+      "content": "[XXXXX387]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50717": {
+      "content": "[XXXXX67]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50718": {
+      "content": "[XXXXX743]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50719": {
+      "content": "[XXXXX657]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50720": {
+      "content": "[XXXXX418]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50721": {
+      "content": "[XXXXX787]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50722": {
+      "content": "[XXXXX838]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50723": {
+      "content": "[XXXXX298]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50724": {
+      "content": "[XXXXX1007]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50725": {
+      "content": "[XXXXX1027]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50726": {
+      "content": "[XXXXX1078]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50727": {
+      "content": "[XXXXX651]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50728": {
+      "content": "[XXXXX875]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50729": {
+      "content": "[XXXXX258]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50730": {
+      "content": "[XXXXX413]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50731": {
+      "content": "[XXXXX1092]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50732": {
+      "content": "[XXXXX124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50733": {
+      "content": "[XXXXX308]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50734": {
+      "content": "[XXXXX1085]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50735": {
+      "content": "[XXXXX1170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50736": {
+      "content": "[XXXXX38]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50737": {
+      "content": "[XXXXX438]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50738": {
+      "content": "[XXXXX475]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50739": {
+      "content": "[XXXXX900]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50740": {
+      "content": "[XXXXX263]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50741": {
+      "content": "[XXXXX166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50742": {
+      "content": "[XXXXX698]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50743": {
+      "content": "[XXXXX1127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50744": {
+      "content": "[XXXXX1181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50745": {
+      "content": "[XXXXX763]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50746": {
+      "content": "[XXXXX627]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50747": {
+      "content": "[XXXXX250]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50748": {
+      "content": "[XXXXX757]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50749": {
+      "content": "[XXXXX142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50750": {
+      "content": "[XXXXX794]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50751": {
+      "content": "[XXXXX128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50752": {
+      "content": "[XXXXX35]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50753": {
+      "content": "[XXXXX482]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50754": {
+      "content": "[XXXXX834]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50755": {
+      "content": "[XXXXX679]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50756": {
+      "content": "[XXXXX839]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50757": {
+      "content": "[XXXXX138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50758": {
+      "content": "[XXXXX1066]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50759": {
+      "content": "[XXXXX116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50760": {
+      "content": "[XXXXX317]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50761": {
+      "content": "[XXXXX490]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50762": {
+      "content": "[XXXXX443]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50763": {
+      "content": "[XXXXX879]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50764": {
+      "content": "[XXXXX1101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50765": {
+      "content": "[XXXXX711]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50766": {
+      "content": "[XXXXX123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50767": {
+      "content": "[XXXXX1152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50768": {
+      "content": "[XXXXX692]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50769": {
+      "content": "[XXXXX555]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50770": {
+      "content": "[XXXXX266]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50771": {
+      "content": "[XXXXX0]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50772": {
+      "content": "[XXXXX332]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50773": {
+      "content": "[XXXXX497]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50774": {
+      "content": "[XXXXX904]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50775": {
+      "content": "[XXXXX1019]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50776": {
+      "content": "[XXXXX709]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50777": {
+      "content": "[XXXXX351]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50778": {
+      "content": "[XXXXX764]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50779": {
+      "content": "[XXXXX625]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50780": {
+      "content": "[XXXXX798]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50781": {
+      "content": "[XXXXX205]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50782": {
+      "content": "[XXXXX922]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50783": {
+      "content": "[XXXXX1075]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50784": {
+      "content": "[XXXXX8]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50785": {
+      "content": "[XXXXX422]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50786": {
+      "content": "[XXXXX638]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50787": {
+      "content": "[XXXXX98]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50788": {
+      "content": "[XXXXX814]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50789": {
+      "content": "[XXXXX1057]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50790": {
+      "content": "[XXXXX1070]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50791": {
+      "content": "[XXXXX411]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50792": {
+      "content": "[XXXXX768]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50793": {
+      "content": "[XXXXX1165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50794": {
+      "content": "[XXXXX888]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50795": {
+      "content": "[XXXXX636]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50796": {
+      "content": "[XXXXX1047]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50797": {
+      "content": "[XXXXX960]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50798": {
+      "content": "[XXXXX910]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50799": {
+      "content": "[XXXXX42]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50800": {
+      "content": "[XXXXX238]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50801": {
+      "content": "[XXXXX383]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50802": {
+      "content": "[XXXXX1032]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50803": {
+      "content": "[XXXXX577]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50804": {
+      "content": "[XXXXX268]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50805": {
+      "content": "[XXXXX179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50806": {
+      "content": "[XXXXX1076]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50807": {
+      "content": "[XXXXX1167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50808": {
+      "content": "[XXXXX1172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50809": {
+      "content": "[XXXXX665]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50810": {
+      "content": "[XXXXX126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50811": {
+      "content": "[XXXXX347]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50812": {
+      "content": "[XXXXX544]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50813": {
+      "content": "[XXXXX1026]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50814": {
+      "content": "[XXXXX159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50815": {
+      "content": "[XXXXX503]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50816": {
+      "content": "[XXXXX583]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50817": {
+      "content": "[XXXXX668]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50818": {
+      "content": "[XXXXX1115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50819": {
+      "content": "[XXXXX112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50820": {
+      "content": "[XXXXX154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50821": {
+      "content": "[XXXXX761]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50822": {
+      "content": "[XXXXX540]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50823": {
+      "content": "[XXXXX755]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50824": {
+      "content": "[XXXXX255]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50825": {
+      "content": "[XXXXX459]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50826": {
+      "content": "[XXXXX1090]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50827": {
+      "content": "[XXXXX689]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50828": {
+      "content": "[XXXXX589]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50829": {
+      "content": "[XXXXX122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50830": {
+      "content": "[XXXXX789]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50831": {
+      "content": "[XXXXX481]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50832": {
+      "content": "[XXXXX1044]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50833": {
+      "content": "[XXXXX274]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50834": {
+      "content": "[XXXXX957]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50835": {
+      "content": "[XXXXX1121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50836": {
+      "content": "[XXXXX464]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50837": {
+      "content": "[XXXXX495]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50838": {
+      "content": "[XXXXX1097]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50839": {
+      "content": "[XXXXX581]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50840": {
+      "content": "[XXXXX200]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50841": {
+      "content": "[XXXXX954]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50842": {
+      "content": "[XXXXX48]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50843": {
+      "content": "[XXXXX855]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50844": {
+      "content": "[XXXXX419]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50845": {
+      "content": "[XXXXX919]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50846": {
+      "content": "[XXXXX451]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50847": {
+      "content": "[XXXXX869]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50848": {
+      "content": "[XXXXX1082]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50849": {
+      "content": "[XXXXX1185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50850": {
+      "content": "[XXXXX859]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50851": {
+      "content": "[XXXXX1139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50852": {
+      "content": "[XXXXX1072]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50853": {
+      "content": "[XXXXX220]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50854": {
+      "content": "[XXXXX465]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50855": {
+      "content": "[XXXXX1105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50856": {
+      "content": "[XXXXX1093]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50857": {
+      "content": "[XXXXX953]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50858": {
+      "content": "[XXXXX1187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50859": {
+      "content": "[XXXXX311]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50860": {
+      "content": "[XXXXX403]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50861": {
+      "content": "[XXXXX684]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50862": {
+      "content": "[XXXXX426]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50863": {
+      "content": "[XXXXX68]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50864": {
+      "content": "[XXXXX277]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50865": {
+      "content": "[XXXXX437]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50866": {
+      "content": "[XXXXX896]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50867": {
+      "content": "[XXXXX899]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50868": {
+      "content": "[XXXXX878]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50869": {
+      "content": "[XXXXX1073]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50870": {
+      "content": "[XXXXX774]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50871": {
+      "content": "[XXXXX315]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50872": {
+      "content": "[XXXXX631]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50873": {
+      "content": "[XXXXX223]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50874": {
+      "content": "[XXXXX86]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50875": {
+      "content": "[XXXXX607]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50876": {
+      "content": "[XXXXX149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50877": {
+      "content": "[XXXXX566]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50878": {
+      "content": "[XXXXX740]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50879": {
+      "content": "[XXXXX265]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50880": {
+      "content": "[XXXXX399]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50881": {
+      "content": "[XXXXX1053]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50882": {
+      "content": "[XXXXX1077]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50883": {
+      "content": "[XXXXX336]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50884": {
+      "content": "[XXXXX734]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50885": {
+      "content": "[XXXXX289]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50886": {
+      "content": "[XXXXX221]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50887": {
+      "content": "[XXXXX580]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50888": {
+      "content": "[XXXXX406]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50889": {
+      "content": "[XXXXX854]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50890": {
+      "content": "[XXXXX673]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50891": {
+      "content": "[XXXXX1146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50892": {
+      "content": "[XXXXX29]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50893": {
+      "content": "[XXXXX496]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50894": {
+      "content": "[XXXXX241]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50895": {
+      "content": "[XXXXX929]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50896": {
+      "content": "[XXXXX169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50897": {
+      "content": "[XXXXX1153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50898": {
+      "content": "[XXXXX440]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50899": {
+      "content": "[XXXXX385]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50900": {
+      "content": "[XXXXX499]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50901": {
+      "content": "[XXXXX718]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50902": {
+      "content": "[XXXXX848]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50903": {
+      "content": "[XXXXX877]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50904": {
+      "content": "[XXXXX641]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50905": {
+      "content": "[XXXXX1137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50906": {
+      "content": "[XXXXX269]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50907": {
+      "content": "[XXXXX521]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50908": {
+      "content": "[XXXXX234]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50909": {
+      "content": "[XXXXX987]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50910": {
+      "content": "[XXXXX741]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50911": {
+      "content": "[XXXXX349]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50912": {
+      "content": "[XXXXX93]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50913": {
+      "content": "[XXXXX247]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50914": {
+      "content": "[XXXXX961]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50915": {
+      "content": "[XXXXX1120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50916": {
+      "content": "[XXXXX369]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50917": {
+      "content": "[XXXXX479]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50918": {
+      "content": "[XXXXX892]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50919": {
+      "content": "[XXXXX553]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50920": {
+      "content": "[XXXXX906]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50921": {
+      "content": "[XXXXX571]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50922": {
+      "content": "[XXXXX1046]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50923": {
+      "content": "[XXXXX206]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50924": {
+      "content": "[XXXXX488]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50925": {
+      "content": "[XXXXX445]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50926": {
+      "content": "[XXXXX524]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50927": {
+      "content": "[XXXXX228]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50928": {
+      "content": "[XXXXX998]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50929": {
+      "content": "[XXXXX675]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50930": {
+      "content": "[XXXXX732]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50931": {
+      "content": "[XXXXX1028]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50932": {
+      "content": "[XXXXX494]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50933": {
+      "content": "[XXXXX965]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50934": {
+      "content": "[XXXXX1021]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50935": {
+      "content": "[XXXXX726]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50936": {
+      "content": "[XXXXX168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50937": {
+      "content": "[XXXXX606]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50938": {
+      "content": "[XXXXX974]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50939": {
+      "content": "[XXXXX504]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50940": {
+      "content": "[XXXXX556]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50941": {
+      "content": "[XXXXX1159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50942": {
+      "content": "[XXXXX417]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50943": {
+      "content": "[XXXXX1175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50944": {
+      "content": "[XXXXX1142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50945": {
+      "content": "[XXXXX753]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50946": {
+      "content": "[XXXXX824]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50947": {
+      "content": "[XXXXX251]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50948": {
+      "content": "[XXXXX345]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50949": {
+      "content": "[XXXXX610]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50950": {
+      "content": "[XXXXX276]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50951": {
+      "content": "[XXXXX783]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50952": {
+      "content": "[XXXXX74]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50953": {
+      "content": "[XXXXX1050]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50954": {
+      "content": "[XXXXX71]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50955": {
+      "content": "[XXXXX360]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50956": {
+      "content": "[XXXXX512]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50957": {
+      "content": "[XXXXX341]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50958": {
+      "content": "[XXXXX375]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50959": {
+      "content": "[XXXXX637]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50960": {
+      "content": "[XXXXX1116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50961": {
+      "content": "[XXXXX9]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50962": {
+      "content": "[XXXXX738]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50963": {
+      "content": "[XXXXX856]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50964": {
+      "content": "[XXXXX979]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50965": {
+      "content": "[XXXXX825]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50966": {
+      "content": "[XXXXX852]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50967": {
+      "content": "[XXXXX215]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50968": {
+      "content": "[XXXXX91]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50969": {
+      "content": "[XXXXX257]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50970": {
+      "content": "[XXXXX325]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50971": {
+      "content": "[XXXXX368]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50972": {
+      "content": "[XXXXX1124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50973": {
+      "content": "[XXXXX188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50974": {
+      "content": "[XXXXX905]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50975": {
+      "content": "[XXXXX284]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50976": {
+      "content": "[XXXXX11]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50977": {
+      "content": "[XXXXX83]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50978": {
+      "content": "[XXXXX611]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50979": {
+      "content": "[XXXXX51]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50980": {
+      "content": "[XXXXX99]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50981": {
+      "content": "[XXXXX288]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50982": {
+      "content": "[XXXXX945]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50983": {
+      "content": "[XXXXX975]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50984": {
+      "content": "[XXXXX282]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50985": {
+      "content": "[XXXXX1068]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50986": {
+      "content": "[XXXXX1180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50987": {
+      "content": "[XXXXX574]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50988": {
+      "content": "[XXXXX305]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50989": {
+      "content": "[XXXXX565]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50990": {
+      "content": "[XXXXX865]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50991": {
+      "content": "[XXXXX1014]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50992": {
+      "content": "[XXXXX1138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50993": {
+      "content": "[XXXXX134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50994": {
+      "content": "[XXXXX321]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50995": {
+      "content": "[XXXXX752]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50996": {
+      "content": "[XXXXX108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50997": {
+      "content": "[XXXXX339]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50998": {
+      "content": "[XXXXX893]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50999": {
+      "content": "[XXXXX1177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51000": {
+      "content": "[XXXXX988]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51001": {
+      "content": "[XXXXX719]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51002": {
+      "content": "[XXXXX1059]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51003": {
+      "content": "[XXXXX421]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51004": {
+      "content": "[XXXXX670]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51005": {
+      "content": "[XXXXX949]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51006": {
+      "content": "[XXXXX14]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51007": {
+      "content": "[XXXXX1087]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51008": {
+      "content": "[XXXXX382]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51009": {
+      "content": "[XXXXX531]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51010": {
+      "content": "[XXXXX1079]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51011": {
+      "content": "[XXXXX1067]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51012": {
+      "content": "[XXXXX655]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51013": {
+      "content": "[XXXXX340]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51014": {
+      "content": "[XXXXX398]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51015": {
+      "content": "[XXXXX175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51016": {
+      "content": "[XXXXX232]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51017": {
+      "content": "[XXXXX244]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51018": {
+      "content": "[XXXXX568]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51019": {
+      "content": "[XXXXX1110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51020": {
+      "content": "[XXXXX191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51021": {
+      "content": "[XXXXX931]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51022": {
+      "content": "[XXXXX832]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51023": {
+      "content": "[XXXXX1030]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51024": {
+      "content": "[XXXXX144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51025": {
+      "content": "[XXXXX1102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51026": {
+      "content": "[XXXXX300]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51027": {
+      "content": "[XXXXX996]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51028": {
+      "content": "[XXXXX248]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51029": {
+      "content": "[XXXXX66]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51030": {
+      "content": "[XXXXX735]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51031": {
+      "content": "[XXXXX20]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51032": {
+      "content": "[XXXXX694]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51033": {
+      "content": "[XXXXX845]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51034": {
+      "content": "[XXXXX500]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51035": {
+      "content": "[XXXXX613]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51036": {
+      "content": "[XXXXX117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51037": {
+      "content": "[XXXXX886]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51038": {
+      "content": "[XXXXX261]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51039": {
+      "content": "[XXXXX567]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51040": {
+      "content": "[XXXXX541]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51041": {
+      "content": "[XXXXX529]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51042": {
+      "content": "[XXXXX699]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51043": {
+      "content": "[XXXXX715]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51044": {
+      "content": "[XXXXX1003]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51045": {
+      "content": "[XXXXX518]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51046": {
+      "content": "[XXXXX891]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51047": {
+      "content": "[XXXXX192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51048": {
+      "content": "[XXXXX53]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51049": {
+      "content": "[XXXXX428]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51050": {
+      "content": "[XXXXX183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51051": {
+      "content": "[XXXXX850]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51052": {
+      "content": "[XXXXX539]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51053": {
+      "content": "[XXXXX527]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51054": {
+      "content": "[XXXXX660]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51055": {
+      "content": "[XXXXX409]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51056": {
+      "content": "[XXXXX1122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51057": {
+      "content": "[XXXXX898]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51058": {
+      "content": "[XXXXX858]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51059": {
+      "content": "[XXXXX534]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51060": {
+      "content": "[XXXXX756]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51061": {
+      "content": "[XXXXX63]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51062": {
+      "content": "[XXXXX49]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51063": {
+      "content": "[XXXXX1106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51064": {
+      "content": "[XXXXX111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51065": {
+      "content": "[XXXXX955]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51066": {
+      "content": "[XXXXX309]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51067": {
+      "content": "[XXXXX538]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51068": {
+      "content": "[XXXXX823]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51069": {
+      "content": "[XXXXX867]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51070": {
+      "content": "[XXXXX587]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51071": {
+      "content": "[XXXXX243]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51072": {
+      "content": "[XXXXX677]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51073": {
+      "content": "[XXXXX1017]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51074": {
+      "content": "[XXXXX173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51075": {
+      "content": "[XXXXX682]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51076": {
+      "content": "[XXXXX1184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51077": {
+      "content": "[XXXXX1009]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51078": {
+      "content": "[XXXXX704]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51079": {
+      "content": "[XXXXX532]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51080": {
+      "content": "[XXXXX901]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51081": {
+      "content": "[XXXXX120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51082": {
+      "content": "[XXXXX388]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51083": {
+      "content": "[XXXXX405]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51084": {
+      "content": "[XXXXX788]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51085": {
+      "content": "[XXXXX728]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51086": {
+      "content": "[XXXXX425]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51087": {
+      "content": "[XXXXX883]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51088": {
+      "content": "[XXXXX837]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51089": {
+      "content": "[XXXXX350]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51090": {
+      "content": "[XXXXX716]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51091": {
+      "content": "[XXXXX579]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51092": {
+      "content": "[XXXXX909]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51093": {
+      "content": "[XXXXX884]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51094": {
+      "content": "[XXXXX1011]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51095": {
+      "content": "[XXXXX372]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51096": {
+      "content": "[XXXXX370]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51097": {
+      "content": "[XXXXX468]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51098": {
+      "content": "[XXXXX688]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51099": {
+      "content": "[XXXXX56]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51100": {
+      "content": "[XXXXX653]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51101": {
+      "content": "[XXXXX623]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51102": {
+      "content": "[XXXXX552]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51103": {
+      "content": "[XXXXX314]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51104": {
+      "content": "[XXXXX1018]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51105": {
+      "content": "[XXXXX1091]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51106": {
+      "content": "[XXXXX342]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51107": {
+      "content": "[XXXXX1065]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51108": {
+      "content": "[XXXXX1161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51109": {
+      "content": "[XXXXX959]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51110": {
+      "content": "[XXXXX1035]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51111": {
+      "content": "[XXXXX530]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51112": {
+      "content": "[XXXXX69]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51113": {
+      "content": "[XXXXX489]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51114": {
+      "content": "[XXXXX1]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51115": {
+      "content": "[XXXXX207]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51116": {
+      "content": "[XXXXX433]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51117": {
+      "content": "[XXXXX358]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51118": {
+      "content": "[XXXXX601]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51119": {
+      "content": "[XXXXX2]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51120": {
+      "content": "[XXXXX722]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51121": {
+      "content": "[XXXXX985]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51122": {
+      "content": "[XXXXX908]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51123": {
+      "content": "[XXXXX1024]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51124": {
+      "content": "[XXXXX1111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51125": {
+      "content": "[XXXXX1113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51126": {
+      "content": "[XXXXX678]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51127": {
+      "content": "[XXXXX19]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51128": {
+      "content": "[XXXXX1186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51129": {
+      "content": "[XXXXX808]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51130": {
+      "content": "[XXXXX493]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51131": {
+      "content": "[XXXXX1155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51132": {
+      "content": "[XXXXX217]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51133": {
+      "content": "[XXXXX616]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51134": {
+      "content": "[XXXXX835]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51135": {
+      "content": "[XXXXX994]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51136": {
+      "content": "[XXXXX484]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51137": {
+      "content": "[XXXXX362]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51138": {
+      "content": "[XXXXX582]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51139": {
+      "content": "[XXXXX1034]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51140": {
+      "content": "[XXXXX772]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51141": {
+      "content": "[XXXXX457]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51142": {
+      "content": "[XXXXX604]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51143": {
+      "content": "[XXXXX456]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51144": {
+      "content": "[XXXXX145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51145": {
+      "content": "[XXXXX476]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51146": {
+      "content": "[XXXXX218]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51147": {
+      "content": "[XXXXX199]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51148": {
+      "content": "[XXXXX364]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51149": {
+      "content": "[XXXXX302]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51150": {
+      "content": "[XXXXX881]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51151": {
+      "content": "[XXXXX1088]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51152": {
+      "content": "[XXXXX356]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51153": {
+      "content": "[XXXXX936]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51154": {
+      "content": "[XXXXX978]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51155": {
+      "content": "[XXXXX895]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51156": {
+      "content": "[XXXXX993]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51157": {
+      "content": "[XXXXX458]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51158": {
+      "content": "[XXXXX1002]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51159": {
+      "content": "[XXXXX1022]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51160": {
+      "content": "[XXXXX25]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51161": {
+      "content": "[XXXXX766]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51162": {
+      "content": "[XXXXX64]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51163": {
+      "content": "[XXXXX211]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51164": {
+      "content": "[XXXXX82]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51165": {
+      "content": "[XXXXX634]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51166": {
+      "content": "[XXXXX661]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51167": {
+      "content": "[XXXXX748]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51168": {
+      "content": "[XXXXX778]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51169": {
+      "content": "[XXXXX24]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51170": {
+      "content": "[XXXXX448]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51171": {
+      "content": "[XXXXX887]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51172": {
+      "content": "[XXXXX890]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51173": {
+      "content": "[XXXXX754]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51174": {
+      "content": "[XXXXX343]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51175": {
+      "content": "[XXXXX1069]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51176": {
+      "content": "[XXXXX294]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51177": {
+      "content": "[XXXXX295]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51178": {
+      "content": "[XXXXX197]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51179": {
+      "content": "[XXXXX210]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51180": {
+      "content": "[XXXXX630]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51181": {
+      "content": "[XXXXX707]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51182": {
+      "content": "[XXXXX864]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51183": {
+      "content": "[XXXXX391]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51184": {
+      "content": "[XXXXX338]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51185": {
+      "content": "[XXXXX800]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51186": {
+      "content": "[XXXXX841]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51187": {
+      "content": "[XXXXX967]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51188": {
+      "content": "[XXXXX793]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51189": {
+      "content": "[XXXXX916]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51190": {
+      "content": "[XXXXX603]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51191": {
+      "content": "[XXXXX270]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51192": {
+      "content": "[XXXXX105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51193": {
+      "content": "[XXXXX1016]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51194": {
+      "content": "[XXXXX804]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51195": {
+      "content": "[XXXXX264]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51196": {
+      "content": "[XXXXX155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51197": {
+      "content": "[XXXXX1190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51198": {
+      "content": "[XXXXX813]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51199": {
+      "content": "[XXXXX546]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "keep_accents": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}
diff --git a/checkpoint-7000/trainer_state.json b/checkpoint-7000/trainer_state.json
new file mode 100644
index 0000000..49a21c7
--- /dev/null
+++ b/checkpoint-7000/trainer_state.json
@@ -0,0 +1,14188 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 5.79950289975145,
+  "eval_steps": 500,
+  "global_step": 7000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "entropy": 7.218191003799438,
+      "epoch": 0.004142502071251036,
+      "grad_norm": 1.265625,
+      "learning_rate": 2e-06,
+      "loss": 6.8898,
+      "mean_token_accuracy": 0.08805170804262161,
+      "num_tokens": 9149.0,
+      "step": 5
+    },
+    {
+      "entropy": 7.191673707962036,
+      "epoch": 0.008285004142502071,
+      "grad_norm": 1.5078125,
+      "learning_rate": 4.5e-06,
+      "loss": 6.7268,
+      "mean_token_accuracy": 0.09304728880524635,
+      "num_tokens": 16800.0,
+      "step": 10
+    },
+    {
+      "entropy": 7.134524202346801,
+      "epoch": 0.012427506213753107,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7e-06,
+      "loss": 6.8905,
+      "mean_token_accuracy": 0.0921505056321621,
+      "num_tokens": 26617.0,
+      "step": 15
+    },
+    {
+      "entropy": 7.115550088882446,
+      "epoch": 0.016570008285004142,
+      "grad_norm": 1.25,
+      "learning_rate": 9.5e-06,
+      "loss": 6.8021,
+      "mean_token_accuracy": 0.09268744736909866,
+      "num_tokens": 35855.0,
+      "step": 20
+    },
+    {
+      "entropy": 7.12396879196167,
+      "epoch": 0.020712510356255178,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.2e-05,
+      "loss": 7.0094,
+      "mean_token_accuracy": 0.08752714470028877,
+      "num_tokens": 45644.0,
+      "step": 25
+    },
+    {
+      "entropy": 7.054446792602539,
+      "epoch": 0.024855012427506214,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.4500000000000002e-05,
+      "loss": 6.8922,
+      "mean_token_accuracy": 0.09398627206683159,
+      "num_tokens": 54641.0,
+      "step": 30
+    },
+    {
+      "entropy": 7.012255907058716,
+      "epoch": 0.02899751449875725,
+      "grad_norm": 1.0234375,
+      "learning_rate": 1.7000000000000003e-05,
+      "loss": 6.7519,
+      "mean_token_accuracy": 0.08958807587623596,
+      "num_tokens": 63924.0,
+      "step": 35
+    },
+    {
+      "entropy": 7.068031549453735,
+      "epoch": 0.033140016570008285,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.95e-05,
+      "loss": 6.89,
+      "mean_token_accuracy": 0.09437783882021904,
+      "num_tokens": 73452.0,
+      "step": 40
+    },
+    {
+      "entropy": 7.06072301864624,
+      "epoch": 0.037282518641259324,
+      "grad_norm": 1.0234375,
+      "learning_rate": 2.2e-05,
+      "loss": 6.9455,
+      "mean_token_accuracy": 0.0851291574537754,
+      "num_tokens": 82731.0,
+      "step": 45
+    },
+    {
+      "entropy": 7.090083169937134,
+      "epoch": 0.041425020712510356,
+      "grad_norm": 1.1015625,
+      "learning_rate": 2.4500000000000003e-05,
+      "loss": 6.7734,
+      "mean_token_accuracy": 0.09048294499516488,
+      "num_tokens": 92626.0,
+      "step": 50
+    },
+    {
+      "entropy": 7.149203157424926,
+      "epoch": 0.045567522783761395,
+      "grad_norm": 1.21875,
+      "learning_rate": 2.7e-05,
+      "loss": 6.9497,
+      "mean_token_accuracy": 0.08217904865741729,
+      "num_tokens": 101380.0,
+      "step": 55
+    },
+    {
+      "entropy": 7.119951963424683,
+      "epoch": 0.04971002485501243,
+      "grad_norm": 1.046875,
+      "learning_rate": 2.95e-05,
+      "loss": 6.8604,
+      "mean_token_accuracy": 0.09202293381094932,
+      "num_tokens": 109895.0,
+      "step": 60
+    },
+    {
+      "entropy": 7.2014998435974125,
+      "epoch": 0.053852526926263466,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.2e-05,
+      "loss": 6.8449,
+      "mean_token_accuracy": 0.09257669150829315,
+      "num_tokens": 119203.0,
+      "step": 65
+    },
+    {
+      "entropy": 7.1111664295196535,
+      "epoch": 0.0579950289975145,
+      "grad_norm": 1.1484375,
+      "learning_rate": 3.4500000000000005e-05,
+      "loss": 6.7903,
+      "mean_token_accuracy": 0.09657297283411026,
+      "num_tokens": 127572.0,
+      "step": 70
+    },
+    {
+      "entropy": 7.04930944442749,
+      "epoch": 0.06213753106876554,
+      "grad_norm": 1.03125,
+      "learning_rate": 3.7e-05,
+      "loss": 6.8304,
+      "mean_token_accuracy": 0.09063600301742554,
+      "num_tokens": 137161.0,
+      "step": 75
+    },
+    {
+      "entropy": 7.044711875915527,
+      "epoch": 0.06628003314001657,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.95e-05,
+      "loss": 6.9451,
+      "mean_token_accuracy": 0.08874713778495788,
+      "num_tokens": 145991.0,
+      "step": 80
+    },
+    {
+      "entropy": 7.130092525482178,
+      "epoch": 0.07042253521126761,
+      "grad_norm": 1.0546875,
+      "learning_rate": 4.2000000000000004e-05,
+      "loss": 6.8464,
+      "mean_token_accuracy": 0.08955071866512299,
+      "num_tokens": 154927.0,
+      "step": 85
+    },
+    {
+      "entropy": 7.090402746200562,
+      "epoch": 0.07456503728251865,
+      "grad_norm": 1.34375,
+      "learning_rate": 4.45e-05,
+      "loss": 6.7595,
+      "mean_token_accuracy": 0.09832768961787224,
+      "num_tokens": 163234.0,
+      "step": 90
+    },
+    {
+      "entropy": 7.08957576751709,
+      "epoch": 0.07870753935376967,
+      "grad_norm": 1.015625,
+      "learning_rate": 4.7000000000000004e-05,
+      "loss": 6.7163,
+      "mean_token_accuracy": 0.09379880875349045,
+      "num_tokens": 171554.0,
+      "step": 95
+    },
+    {
+      "entropy": 7.044517278671265,
+      "epoch": 0.08285004142502071,
+      "grad_norm": 1.1328125,
+      "learning_rate": 4.9500000000000004e-05,
+      "loss": 6.8173,
+      "mean_token_accuracy": 0.0955286517739296,
+      "num_tokens": 180171.0,
+      "step": 100
+    },
+    {
+      "entropy": 7.050950908660889,
+      "epoch": 0.08699254349627175,
+      "grad_norm": 1.0859375,
+      "learning_rate": 5.2e-05,
+      "loss": 6.761,
+      "mean_token_accuracy": 0.09741089940071106,
+      "num_tokens": 189216.0,
+      "step": 105
+    },
+    {
+      "entropy": 7.173562717437744,
+      "epoch": 0.09113504556752279,
+      "grad_norm": 1.015625,
+      "learning_rate": 5.45e-05,
+      "loss": 6.9519,
+      "mean_token_accuracy": 0.08675800338387489,
+      "num_tokens": 200022.0,
+      "step": 110
+    },
+    {
+      "entropy": 7.183744478225708,
+      "epoch": 0.09527754763877382,
+      "grad_norm": 1.2265625,
+      "learning_rate": 5.7e-05,
+      "loss": 6.8642,
+      "mean_token_accuracy": 0.09210581332445145,
+      "num_tokens": 208686.0,
+      "step": 115
+    },
+    {
+      "entropy": 7.121539115905762,
+      "epoch": 0.09942004971002485,
+      "grad_norm": 1.1875,
+      "learning_rate": 5.9499999999999996e-05,
+      "loss": 6.8829,
+      "mean_token_accuracy": 0.09462191313505172,
+      "num_tokens": 218266.0,
+      "step": 120
+    },
+    {
+      "entropy": 7.006736946105957,
+      "epoch": 0.1035625517812759,
+      "grad_norm": 1.046875,
+      "learning_rate": 6.2e-05,
+      "loss": 6.7523,
+      "mean_token_accuracy": 0.08771666437387467,
+      "num_tokens": 227658.0,
+      "step": 125
+    },
+    {
+      "entropy": 7.040027761459351,
+      "epoch": 0.10770505385252693,
+      "grad_norm": 1.1015625,
+      "learning_rate": 6.450000000000001e-05,
+      "loss": 6.7014,
+      "mean_token_accuracy": 0.1004502885043621,
+      "num_tokens": 236301.0,
+      "step": 130
+    },
+    {
+      "entropy": 7.106470441818237,
+      "epoch": 0.11184755592377796,
+      "grad_norm": 1.1171875,
+      "learning_rate": 6.7e-05,
+      "loss": 6.8424,
+      "mean_token_accuracy": 0.08812138065695763,
+      "num_tokens": 246355.0,
+      "step": 135
+    },
+    {
+      "entropy": 7.174679756164551,
+      "epoch": 0.115990057995029,
+      "grad_norm": 1.15625,
+      "learning_rate": 6.950000000000001e-05,
+      "loss": 6.8174,
+      "mean_token_accuracy": 0.0924198254942894,
+      "num_tokens": 256023.0,
+      "step": 140
+    },
+    {
+      "entropy": 7.10174069404602,
+      "epoch": 0.12013256006628004,
+      "grad_norm": 0.9921875,
+      "learning_rate": 7.2e-05,
+      "loss": 6.9036,
+      "mean_token_accuracy": 0.08638993799686431,
+      "num_tokens": 266893.0,
+      "step": 145
+    },
+    {
+      "entropy": 7.019921684265137,
+      "epoch": 0.12427506213753108,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7.45e-05,
+      "loss": 6.6606,
+      "mean_token_accuracy": 0.08872481286525727,
+      "num_tokens": 276075.0,
+      "step": 150
+    },
+    {
+      "entropy": 7.042754888534546,
+      "epoch": 0.12841756420878211,
+      "grad_norm": 1.25,
+      "learning_rate": 7.7e-05,
+      "loss": 6.7532,
+      "mean_token_accuracy": 0.09296932220458984,
+      "num_tokens": 285529.0,
+      "step": 155
+    },
+    {
+      "entropy": 7.064399909973145,
+      "epoch": 0.13256006628003314,
+      "grad_norm": 1.15625,
+      "learning_rate": 7.950000000000001e-05,
+      "loss": 6.762,
+      "mean_token_accuracy": 0.09406789913773536,
+      "num_tokens": 294403.0,
+      "step": 160
+    },
+    {
+      "entropy": 7.152362823486328,
+      "epoch": 0.13670256835128416,
+      "grad_norm": 1.28125,
+      "learning_rate": 8.2e-05,
+      "loss": 6.8553,
+      "mean_token_accuracy": 0.09358441680669785,
+      "num_tokens": 303507.0,
+      "step": 165
+    },
+    {
+      "entropy": 7.071487474441528,
+      "epoch": 0.14084507042253522,
+      "grad_norm": 1.21875,
+      "learning_rate": 8.450000000000001e-05,
+      "loss": 6.7534,
+      "mean_token_accuracy": 0.09645206108689308,
+      "num_tokens": 312393.0,
+      "step": 170
+    },
+    {
+      "entropy": 6.956210470199585,
+      "epoch": 0.14498757249378624,
+      "grad_norm": 1.0859375,
+      "learning_rate": 8.7e-05,
+      "loss": 6.7226,
+      "mean_token_accuracy": 0.09953253641724587,
+      "num_tokens": 321309.0,
+      "step": 175
+    },
+    {
+      "entropy": 7.2200812816619875,
+      "epoch": 0.1491300745650373,
+      "grad_norm": 1.1328125,
+      "learning_rate": 8.95e-05,
+      "loss": 6.7879,
+      "mean_token_accuracy": 0.09582221284508705,
+      "num_tokens": 330217.0,
+      "step": 180
+    },
+    {
+      "entropy": 6.964824962615967,
+      "epoch": 0.15327257663628832,
+      "grad_norm": 1.2109375,
+      "learning_rate": 9.2e-05,
+      "loss": 6.8296,
+      "mean_token_accuracy": 0.09584516286849976,
+      "num_tokens": 339587.0,
+      "step": 185
+    },
+    {
+      "entropy": 7.104565525054932,
+      "epoch": 0.15741507870753935,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.45e-05,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.09563353508710862,
+      "num_tokens": 349367.0,
+      "step": 190
+    },
+    {
+      "entropy": 6.90956711769104,
+      "epoch": 0.1615575807787904,
+      "grad_norm": 1.1953125,
+      "learning_rate": 9.7e-05,
+      "loss": 6.6535,
+      "mean_token_accuracy": 0.09533214569091797,
+      "num_tokens": 358272.0,
+      "step": 195
+    },
+    {
+      "entropy": 7.184430170059204,
+      "epoch": 0.16570008285004142,
+      "grad_norm": 1.1875,
+      "learning_rate": 9.95e-05,
+      "loss": 6.8847,
+      "mean_token_accuracy": 0.09342379868030548,
+      "num_tokens": 367709.0,
+      "step": 200
+    },
+    {
+      "entropy": 7.108258152008057,
+      "epoch": 0.16984258492129245,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000102,
+      "loss": 6.7363,
+      "mean_token_accuracy": 0.09321728497743606,
+      "num_tokens": 376180.0,
+      "step": 205
+    },
+    {
+      "entropy": 7.143853282928466,
+      "epoch": 0.1739850869925435,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00010449999999999999,
+      "loss": 6.8927,
+      "mean_token_accuracy": 0.08639989122748375,
+      "num_tokens": 385636.0,
+      "step": 210
+    },
+    {
+      "entropy": 7.005528688430786,
+      "epoch": 0.17812758906379453,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000107,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.10387283116579056,
+      "num_tokens": 394486.0,
+      "step": 215
+    },
+    {
+      "entropy": 7.066776275634766,
+      "epoch": 0.18227009113504558,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0001095,
+      "loss": 6.7286,
+      "mean_token_accuracy": 0.09739693626761436,
+      "num_tokens": 403765.0,
+      "step": 220
+    },
+    {
+      "entropy": 6.9391695022583,
+      "epoch": 0.1864125932062966,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000112,
+      "loss": 6.7198,
+      "mean_token_accuracy": 0.09883175939321517,
+      "num_tokens": 412988.0,
+      "step": 225
+    },
+    {
+      "entropy": 7.029045248031617,
+      "epoch": 0.19055509527754763,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0001145,
+      "loss": 6.6219,
+      "mean_token_accuracy": 0.09850638806819915,
+      "num_tokens": 422096.0,
+      "step": 230
+    },
+    {
+      "entropy": 7.055552911758423,
+      "epoch": 0.19469759734879868,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011700000000000001,
+      "loss": 6.7907,
+      "mean_token_accuracy": 0.08912368193268776,
+      "num_tokens": 431333.0,
+      "step": 235
+    },
+    {
+      "entropy": 7.076433277130127,
+      "epoch": 0.1988400994200497,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00011949999999999999,
+      "loss": 6.825,
+      "mean_token_accuracy": 0.0998022735118866,
+      "num_tokens": 440382.0,
+      "step": 240
+    },
+    {
+      "entropy": 7.098494958877564,
+      "epoch": 0.20298260149130073,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000122,
+      "loss": 6.7184,
+      "mean_token_accuracy": 0.1035430908203125,
+      "num_tokens": 448469.0,
+      "step": 245
+    },
+    {
+      "entropy": 7.065437746047974,
+      "epoch": 0.2071251035625518,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001245,
+      "loss": 6.7562,
+      "mean_token_accuracy": 0.0973759837448597,
+      "num_tokens": 457356.0,
+      "step": 250
+    },
+    {
+      "entropy": 7.103154182434082,
+      "epoch": 0.2112676056338028,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000127,
+      "loss": 6.7821,
+      "mean_token_accuracy": 0.09721289053559304,
+      "num_tokens": 465928.0,
+      "step": 255
+    },
+    {
+      "entropy": 6.99681601524353,
+      "epoch": 0.21541010770505387,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0001295,
+      "loss": 6.6931,
+      "mean_token_accuracy": 0.09931288808584213,
+      "num_tokens": 475269.0,
+      "step": 260
+    },
+    {
+      "entropy": 6.960800266265869,
+      "epoch": 0.2195526097763049,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000132,
+      "loss": 6.679,
+      "mean_token_accuracy": 0.09512786641716957,
+      "num_tokens": 485450.0,
+      "step": 265
+    },
+    {
+      "entropy": 7.0514568328857425,
+      "epoch": 0.22369511184755592,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00013450000000000002,
+      "loss": 6.7347,
+      "mean_token_accuracy": 0.10228226557374001,
+      "num_tokens": 494029.0,
+      "step": 270
+    },
+    {
+      "entropy": 6.9516912460327145,
+      "epoch": 0.22783761391880697,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013700000000000002,
+      "loss": 6.676,
+      "mean_token_accuracy": 0.10202871784567832,
+      "num_tokens": 503253.0,
+      "step": 275
+    },
+    {
+      "entropy": 7.018160057067871,
+      "epoch": 0.231980115990058,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0001395,
+      "loss": 6.6685,
+      "mean_token_accuracy": 0.09529435187578202,
+      "num_tokens": 512857.0,
+      "step": 280
+    },
+    {
+      "entropy": 6.9714985370635985,
+      "epoch": 0.23612261806130902,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00014199999999999998,
+      "loss": 6.7719,
+      "mean_token_accuracy": 0.09288227260112762,
+      "num_tokens": 522319.0,
+      "step": 285
+    },
+    {
+      "entropy": 7.113205528259277,
+      "epoch": 0.24026512013256007,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0001445,
+      "loss": 6.7224,
+      "mean_token_accuracy": 0.09471780881285667,
+      "num_tokens": 531469.0,
+      "step": 290
+    },
+    {
+      "entropy": 6.976934480667114,
+      "epoch": 0.2444076222038111,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000147,
+      "loss": 6.756,
+      "mean_token_accuracy": 0.09480062946677208,
+      "num_tokens": 540470.0,
+      "step": 295
+    },
+    {
+      "entropy": 7.011937475204467,
+      "epoch": 0.24855012427506215,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0001495,
+      "loss": 6.7584,
+      "mean_token_accuracy": 0.09700122326612473,
+      "num_tokens": 550317.0,
+      "step": 300
+    },
+    {
+      "entropy": 7.0365160465240475,
+      "epoch": 0.2526926263463132,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000152,
+      "loss": 6.7067,
+      "mean_token_accuracy": 0.09434132501482964,
+      "num_tokens": 559409.0,
+      "step": 305
+    },
+    {
+      "entropy": 6.928857326507568,
+      "epoch": 0.25683512841756423,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00015450000000000001,
+      "loss": 6.768,
+      "mean_token_accuracy": 0.10764710158109665,
+      "num_tokens": 568726.0,
+      "step": 310
+    },
+    {
+      "entropy": 7.103991413116455,
+      "epoch": 0.2609776304888152,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000157,
+      "loss": 6.7179,
+      "mean_token_accuracy": 0.0976541943848133,
+      "num_tokens": 577926.0,
+      "step": 315
+    },
+    {
+      "entropy": 7.047203779220581,
+      "epoch": 0.2651201325600663,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001595,
+      "loss": 6.7448,
+      "mean_token_accuracy": 0.09809661954641342,
+      "num_tokens": 586695.0,
+      "step": 320
+    },
+    {
+      "entropy": 7.039609956741333,
+      "epoch": 0.26926263463131733,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000162,
+      "loss": 6.771,
+      "mean_token_accuracy": 0.0949723981320858,
+      "num_tokens": 596250.0,
+      "step": 325
+    },
+    {
+      "entropy": 7.063632202148438,
+      "epoch": 0.27340513670256833,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00016450000000000001,
+      "loss": 6.8221,
+      "mean_token_accuracy": 0.09051206335425377,
+      "num_tokens": 605761.0,
+      "step": 330
+    },
+    {
+      "entropy": 7.019326877593994,
+      "epoch": 0.2775476387738194,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00016700000000000002,
+      "loss": 6.7365,
+      "mean_token_accuracy": 0.09872144013643265,
+      "num_tokens": 614313.0,
+      "step": 335
+    },
+    {
+      "entropy": 7.037422132492066,
+      "epoch": 0.28169014084507044,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00016950000000000003,
+      "loss": 6.7692,
+      "mean_token_accuracy": 0.09455474764108658,
+      "num_tokens": 624470.0,
+      "step": 340
+    },
+    {
+      "entropy": 7.039082098007202,
+      "epoch": 0.28583264291632143,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00017199999999999998,
+      "loss": 6.6843,
+      "mean_token_accuracy": 0.09269843101501465,
+      "num_tokens": 633458.0,
+      "step": 345
+    },
+    {
+      "entropy": 6.942268037796021,
+      "epoch": 0.2899751449875725,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00017449999999999999,
+      "loss": 6.6939,
+      "mean_token_accuracy": 0.09877684414386749,
+      "num_tokens": 643251.0,
+      "step": 350
+    },
+    {
+      "entropy": 6.99584732055664,
+      "epoch": 0.29411764705882354,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000177,
+      "loss": 6.7635,
+      "mean_token_accuracy": 0.09713540598750114,
+      "num_tokens": 652005.0,
+      "step": 355
+    },
+    {
+      "entropy": 7.006586170196533,
+      "epoch": 0.2982601491300746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0001795,
+      "loss": 6.6575,
+      "mean_token_accuracy": 0.10120807588100433,
+      "num_tokens": 661003.0,
+      "step": 360
+    },
+    {
+      "entropy": 6.874996137619019,
+      "epoch": 0.3024026512013256,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000182,
+      "loss": 6.6294,
+      "mean_token_accuracy": 0.09844254851341247,
+      "num_tokens": 670221.0,
+      "step": 365
+    },
+    {
+      "entropy": 7.155635738372803,
+      "epoch": 0.30654515327257664,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001845,
+      "loss": 6.9236,
+      "mean_token_accuracy": 0.0882349319756031,
+      "num_tokens": 680756.0,
+      "step": 370
+    },
+    {
+      "entropy": 6.94540753364563,
+      "epoch": 0.3106876553438277,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000187,
+      "loss": 6.6157,
+      "mean_token_accuracy": 0.10289054960012436,
+      "num_tokens": 689641.0,
+      "step": 375
+    },
+    {
+      "entropy": 6.87992377281189,
+      "epoch": 0.3148301574150787,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001895,
+      "loss": 6.5696,
+      "mean_token_accuracy": 0.09839320331811904,
+      "num_tokens": 698209.0,
+      "step": 380
+    },
+    {
+      "entropy": 6.823869276046753,
+      "epoch": 0.31897265948632975,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000192,
+      "loss": 6.5736,
+      "mean_token_accuracy": 0.10355777889490128,
+      "num_tokens": 706712.0,
+      "step": 385
+    },
+    {
+      "entropy": 7.037634468078613,
+      "epoch": 0.3231151615575808,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0001945,
+      "loss": 6.8017,
+      "mean_token_accuracy": 0.09728012606501579,
+      "num_tokens": 716087.0,
+      "step": 390
+    },
+    {
+      "entropy": 6.911249494552612,
+      "epoch": 0.3272576636288318,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00019700000000000002,
+      "loss": 6.6465,
+      "mean_token_accuracy": 0.09347675815224647,
+      "num_tokens": 725913.0,
+      "step": 395
+    },
+    {
+      "entropy": 6.944440317153931,
+      "epoch": 0.33140016570008285,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019950000000000002,
+      "loss": 6.7201,
+      "mean_token_accuracy": 0.10362306237220764,
+      "num_tokens": 735020.0,
+      "step": 400
+    },
+    {
+      "entropy": 6.985636854171753,
+      "epoch": 0.3355426677713339,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000202,
+      "loss": 6.6216,
+      "mean_token_accuracy": 0.09469136893749237,
+      "num_tokens": 744299.0,
+      "step": 405
+    },
+    {
+      "entropy": 6.883630275726318,
+      "epoch": 0.3396851698425849,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00020449999999999998,
+      "loss": 6.6099,
+      "mean_token_accuracy": 0.09694516137242318,
+      "num_tokens": 753231.0,
+      "step": 410
+    },
+    {
+      "entropy": 6.825357389450073,
+      "epoch": 0.34382767191383595,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000207,
+      "loss": 6.6717,
+      "mean_token_accuracy": 0.10230854973196983,
+      "num_tokens": 763043.0,
+      "step": 415
+    },
+    {
+      "entropy": 7.016851997375488,
+      "epoch": 0.347970173985087,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0002095,
+      "loss": 6.6905,
+      "mean_token_accuracy": 0.09913048222661018,
+      "num_tokens": 771977.0,
+      "step": 420
+    },
+    {
+      "entropy": 6.820244407653808,
+      "epoch": 0.352112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000212,
+      "loss": 6.6243,
+      "mean_token_accuracy": 0.1011092983186245,
+      "num_tokens": 780285.0,
+      "step": 425
+    },
+    {
+      "entropy": 6.956075525283813,
+      "epoch": 0.35625517812758906,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002145,
+      "loss": 6.6593,
+      "mean_token_accuracy": 0.09649045094847679,
+      "num_tokens": 789980.0,
+      "step": 430
+    },
+    {
+      "entropy": 6.984846019744873,
+      "epoch": 0.3603976801988401,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021700000000000002,
+      "loss": 6.6275,
+      "mean_token_accuracy": 0.10474459528923034,
+      "num_tokens": 798700.0,
+      "step": 435
+    },
+    {
+      "entropy": 6.767291498184204,
+      "epoch": 0.36454018227009116,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002195,
+      "loss": 6.7208,
+      "mean_token_accuracy": 0.09600067660212516,
+      "num_tokens": 808758.0,
+      "step": 440
+    },
+    {
+      "entropy": 7.046369791030884,
+      "epoch": 0.36868268434134216,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000222,
+      "loss": 6.6666,
+      "mean_token_accuracy": 0.10458802133798599,
+      "num_tokens": 817692.0,
+      "step": 445
+    },
+    {
+      "entropy": 6.95425066947937,
+      "epoch": 0.3728251864125932,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002245,
+      "loss": 6.7146,
+      "mean_token_accuracy": 0.10474570766091347,
+      "num_tokens": 827052.0,
+      "step": 450
+    },
+    {
+      "entropy": 6.895345544815063,
+      "epoch": 0.37696768848384427,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00022700000000000002,
+      "loss": 6.7139,
+      "mean_token_accuracy": 0.1091882586479187,
+      "num_tokens": 836442.0,
+      "step": 455
+    },
+    {
+      "entropy": 6.922871923446655,
+      "epoch": 0.38111019055509526,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00022950000000000002,
+      "loss": 6.5775,
+      "mean_token_accuracy": 0.10118989571928978,
+      "num_tokens": 846441.0,
+      "step": 460
+    },
+    {
+      "entropy": 6.8815388679504395,
+      "epoch": 0.3852526926263463,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00023200000000000003,
+      "loss": 6.6215,
+      "mean_token_accuracy": 0.10475475937128068,
+      "num_tokens": 856108.0,
+      "step": 465
+    },
+    {
+      "entropy": 6.848587274551392,
+      "epoch": 0.38939519469759737,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00023449999999999998,
+      "loss": 6.5833,
+      "mean_token_accuracy": 0.10137399956583977,
+      "num_tokens": 865788.0,
+      "step": 470
+    },
+    {
+      "entropy": 6.886804008483887,
+      "epoch": 0.39353769676884837,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000237,
+      "loss": 6.6302,
+      "mean_token_accuracy": 0.09514767676591873,
+      "num_tokens": 874833.0,
+      "step": 475
+    },
+    {
+      "entropy": 6.751422643661499,
+      "epoch": 0.3976801988400994,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002395,
+      "loss": 6.5997,
+      "mean_token_accuracy": 0.10276172533631325,
+      "num_tokens": 883685.0,
+      "step": 480
+    },
+    {
+      "entropy": 6.881311464309692,
+      "epoch": 0.40182270091135047,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000242,
+      "loss": 6.6001,
+      "mean_token_accuracy": 0.09796027019619942,
+      "num_tokens": 893908.0,
+      "step": 485
+    },
+    {
+      "entropy": 6.934821891784668,
+      "epoch": 0.40596520298260147,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002445,
+      "loss": 6.7142,
+      "mean_token_accuracy": 0.09827135354280472,
+      "num_tokens": 903081.0,
+      "step": 490
+    },
+    {
+      "entropy": 6.7868632793426515,
+      "epoch": 0.4101077050538525,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000247,
+      "loss": 6.5522,
+      "mean_token_accuracy": 0.10336750745773315,
+      "num_tokens": 912515.0,
+      "step": 495
+    },
+    {
+      "entropy": 6.886235475540161,
+      "epoch": 0.4142502071251036,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002495,
+      "loss": 6.5797,
+      "mean_token_accuracy": 0.1070313923060894,
+      "num_tokens": 921056.0,
+      "step": 500
+    },
+    {
+      "epoch": 0.4142502071251036,
+      "eval_entropy": 6.836038604728194,
+      "eval_loss": 6.684774875640869,
+      "eval_mean_token_accuracy": 0.10272799217021034,
+      "eval_num_tokens": 921056.0,
+      "eval_runtime": 2.7891,
+      "eval_samples_per_second": 1343.421,
+      "eval_steps_per_second": 168.152,
+      "step": 500
+    },
+    {
+      "entropy": 6.7657403469085695,
+      "epoch": 0.4183927091963546,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000252,
+      "loss": 6.5317,
+      "mean_token_accuracy": 0.10417452603578567,
+      "num_tokens": 931112.0,
+      "step": 505
+    },
+    {
+      "entropy": 6.821895503997803,
+      "epoch": 0.4225352112676056,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0002545,
+      "loss": 6.6605,
+      "mean_token_accuracy": 0.0978618748486042,
+      "num_tokens": 941120.0,
+      "step": 510
+    },
+    {
+      "entropy": 6.886211729049682,
+      "epoch": 0.4266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000257,
+      "loss": 6.6044,
+      "mean_token_accuracy": 0.09737976416945457,
+      "num_tokens": 950041.0,
+      "step": 515
+    },
+    {
+      "entropy": 6.879851579666138,
+      "epoch": 0.43082021541010773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002595,
+      "loss": 6.5907,
+      "mean_token_accuracy": 0.10606569275259972,
+      "num_tokens": 958608.0,
+      "step": 520
+    },
+    {
+      "entropy": 6.886484861373901,
+      "epoch": 0.43496271748135873,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.000262,
+      "loss": 6.7158,
+      "mean_token_accuracy": 0.09990910813212395,
+      "num_tokens": 966901.0,
+      "step": 525
+    },
+    {
+      "entropy": 6.767313003540039,
+      "epoch": 0.4391052195526098,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026450000000000003,
+      "loss": 6.5504,
+      "mean_token_accuracy": 0.10768762230873108,
+      "num_tokens": 976198.0,
+      "step": 530
+    },
+    {
+      "entropy": 6.892781782150268,
+      "epoch": 0.44324772162386084,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026700000000000004,
+      "loss": 6.624,
+      "mean_token_accuracy": 0.09861580505967141,
+      "num_tokens": 985248.0,
+      "step": 535
+    },
+    {
+      "entropy": 6.772344255447388,
+      "epoch": 0.44739022369511183,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00026950000000000005,
+      "loss": 6.5014,
+      "mean_token_accuracy": 0.1071978710591793,
+      "num_tokens": 993289.0,
+      "step": 540
+    },
+    {
+      "entropy": 6.820696449279785,
+      "epoch": 0.4515327257663629,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027200000000000005,
+      "loss": 6.5909,
+      "mean_token_accuracy": 0.10533165782690049,
+      "num_tokens": 1001784.0,
+      "step": 545
+    },
+    {
+      "entropy": 6.935409688949585,
+      "epoch": 0.45567522783761394,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002745,
+      "loss": 6.5627,
+      "mean_token_accuracy": 0.10804210156202317,
+      "num_tokens": 1010445.0,
+      "step": 550
+    },
+    {
+      "entropy": 6.745790100097656,
+      "epoch": 0.45981772990886494,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000277,
+      "loss": 6.6184,
+      "mean_token_accuracy": 0.10709234476089477,
+      "num_tokens": 1019084.0,
+      "step": 555
+    },
+    {
+      "entropy": 6.7490733623504635,
+      "epoch": 0.463960231980116,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002795,
+      "loss": 6.5249,
+      "mean_token_accuracy": 0.10461713373661041,
+      "num_tokens": 1027263.0,
+      "step": 560
+    },
+    {
+      "entropy": 6.876884937286377,
+      "epoch": 0.46810273405136704,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00028199999999999997,
+      "loss": 6.6233,
+      "mean_token_accuracy": 0.09752989709377288,
+      "num_tokens": 1036275.0,
+      "step": 565
+    },
+    {
+      "entropy": 6.765736055374146,
+      "epoch": 0.47224523612261804,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002845,
+      "loss": 6.7015,
+      "mean_token_accuracy": 0.09858408868312836,
+      "num_tokens": 1045208.0,
+      "step": 570
+    },
+    {
+      "entropy": 6.9024957656860355,
+      "epoch": 0.4763877381938691,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000287,
+      "loss": 6.6287,
+      "mean_token_accuracy": 0.1026283286511898,
+      "num_tokens": 1054703.0,
+      "step": 575
+    },
+    {
+      "entropy": 6.647345924377442,
+      "epoch": 0.48053024026512015,
+      "grad_norm": 1.5,
+      "learning_rate": 0.0002895,
+      "loss": 6.4841,
+      "mean_token_accuracy": 0.10212503597140313,
+      "num_tokens": 1063652.0,
+      "step": 580
+    },
+    {
+      "entropy": 6.717900657653809,
+      "epoch": 0.48467274233637114,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000292,
+      "loss": 6.5873,
+      "mean_token_accuracy": 0.10145951434969902,
+      "num_tokens": 1072070.0,
+      "step": 585
+    },
+    {
+      "entropy": 6.997959756851197,
+      "epoch": 0.4888152444076222,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002945,
+      "loss": 6.6143,
+      "mean_token_accuracy": 0.10064447894692422,
+      "num_tokens": 1079992.0,
+      "step": 590
+    },
+    {
+      "entropy": 6.657160854339599,
+      "epoch": 0.49295774647887325,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000297,
+      "loss": 6.628,
+      "mean_token_accuracy": 0.10435748845338821,
+      "num_tokens": 1088862.0,
+      "step": 595
+    },
+    {
+      "entropy": 6.773271942138672,
+      "epoch": 0.4971002485501243,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002995,
+      "loss": 6.4317,
+      "mean_token_accuracy": 0.10795770138502121,
+      "num_tokens": 1097614.0,
+      "step": 600
+    },
+    {
+      "entropy": 6.7102379322052,
+      "epoch": 0.5012427506213754,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000302,
+      "loss": 6.6288,
+      "mean_token_accuracy": 0.10706980749964715,
+      "num_tokens": 1107347.0,
+      "step": 605
+    },
+    {
+      "entropy": 6.8672473430633545,
+      "epoch": 0.5053852526926264,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003045,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10073774978518486,
+      "num_tokens": 1116707.0,
+      "step": 610
+    },
+    {
+      "entropy": 6.764383840560913,
+      "epoch": 0.5095277547638773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000307,
+      "loss": 6.6549,
+      "mean_token_accuracy": 0.10234303548932075,
+      "num_tokens": 1126356.0,
+      "step": 615
+    },
+    {
+      "entropy": 6.787193298339844,
+      "epoch": 0.5136702568351285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003095,
+      "loss": 6.5847,
+      "mean_token_accuracy": 0.10079671740531922,
+      "num_tokens": 1136281.0,
+      "step": 620
+    },
+    {
+      "entropy": 6.713733196258545,
+      "epoch": 0.5178127589063795,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000312,
+      "loss": 6.5355,
+      "mean_token_accuracy": 0.10429632142186165,
+      "num_tokens": 1145466.0,
+      "step": 625
+    },
+    {
+      "entropy": 6.7503923892974855,
+      "epoch": 0.5219552609776305,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003145,
+      "loss": 6.5409,
+      "mean_token_accuracy": 0.10918259546160698,
+      "num_tokens": 1154225.0,
+      "step": 630
+    },
+    {
+      "entropy": 6.761834907531738,
+      "epoch": 0.5260977630488816,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000317,
+      "loss": 6.5885,
+      "mean_token_accuracy": 0.09673135951161385,
+      "num_tokens": 1163872.0,
+      "step": 635
+    },
+    {
+      "entropy": 6.69431324005127,
+      "epoch": 0.5302402651201326,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003195,
+      "loss": 6.5244,
+      "mean_token_accuracy": 0.10705070868134499,
+      "num_tokens": 1172695.0,
+      "step": 640
+    },
+    {
+      "entropy": 6.651590061187744,
+      "epoch": 0.5343827671913836,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000322,
+      "loss": 6.3962,
+      "mean_token_accuracy": 0.11006554961204529,
+      "num_tokens": 1181291.0,
+      "step": 645
+    },
+    {
+      "entropy": 6.782713270187378,
+      "epoch": 0.5385252692626347,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00032450000000000003,
+      "loss": 6.5715,
+      "mean_token_accuracy": 0.10394523739814758,
+      "num_tokens": 1189927.0,
+      "step": 650
+    },
+    {
+      "entropy": 6.705166435241699,
+      "epoch": 0.5426677713338857,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00032700000000000003,
+      "loss": 6.5043,
+      "mean_token_accuracy": 0.10940467119216919,
+      "num_tokens": 1197913.0,
+      "step": 655
+    },
+    {
+      "entropy": 6.670699262619019,
+      "epoch": 0.5468102734051367,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032950000000000004,
+      "loss": 6.4309,
+      "mean_token_accuracy": 0.11147961542010307,
+      "num_tokens": 1207032.0,
+      "step": 660
+    },
+    {
+      "entropy": 6.640204334259034,
+      "epoch": 0.5509527754763878,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00033200000000000005,
+      "loss": 6.5397,
+      "mean_token_accuracy": 0.10571447387337685,
+      "num_tokens": 1215710.0,
+      "step": 665
+    },
+    {
+      "entropy": 6.694819068908691,
+      "epoch": 0.5550952775476388,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033450000000000005,
+      "loss": 6.52,
+      "mean_token_accuracy": 0.10049431845545768,
+      "num_tokens": 1225619.0,
+      "step": 670
+    },
+    {
+      "entropy": 6.649594163894653,
+      "epoch": 0.5592377796188898,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000337,
+      "loss": 6.4407,
+      "mean_token_accuracy": 0.11157044768333435,
+      "num_tokens": 1235000.0,
+      "step": 675
+    },
+    {
+      "entropy": 6.612611961364746,
+      "epoch": 0.5633802816901409,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003395,
+      "loss": 6.4462,
+      "mean_token_accuracy": 0.108580531924963,
+      "num_tokens": 1243594.0,
+      "step": 680
+    },
+    {
+      "entropy": 6.843221950531006,
+      "epoch": 0.5675227837613919,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000342,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10460855960845947,
+      "num_tokens": 1252279.0,
+      "step": 685
+    },
+    {
+      "entropy": 6.760235929489136,
+      "epoch": 0.5716652858326429,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034449999999999997,
+      "loss": 6.559,
+      "mean_token_accuracy": 0.10665302500128745,
+      "num_tokens": 1261314.0,
+      "step": 690
+    },
+    {
+      "entropy": 6.55326566696167,
+      "epoch": 0.575807787903894,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000347,
+      "loss": 6.4337,
+      "mean_token_accuracy": 0.11188110187649727,
+      "num_tokens": 1270854.0,
+      "step": 695
+    },
+    {
+      "entropy": 6.618375587463379,
+      "epoch": 0.579950289975145,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003495,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.11392810270190239,
+      "num_tokens": 1279183.0,
+      "step": 700
+    },
+    {
+      "entropy": 6.626208257675171,
+      "epoch": 0.584092792046396,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000352,
+      "loss": 6.5015,
+      "mean_token_accuracy": 0.10761247500777245,
+      "num_tokens": 1288347.0,
+      "step": 705
+    },
+    {
+      "entropy": 6.6855669021606445,
+      "epoch": 0.5882352941176471,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003545,
+      "loss": 6.5036,
+      "mean_token_accuracy": 0.10823310390114785,
+      "num_tokens": 1297449.0,
+      "step": 710
+    },
+    {
+      "entropy": 6.710147094726563,
+      "epoch": 0.5923777961888981,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000357,
+      "loss": 6.4688,
+      "mean_token_accuracy": 0.10904998034238815,
+      "num_tokens": 1306232.0,
+      "step": 715
+    },
+    {
+      "entropy": 6.6553794860839846,
+      "epoch": 0.5965202982601492,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003595,
+      "loss": 6.4857,
+      "mean_token_accuracy": 0.11109372302889824,
+      "num_tokens": 1315073.0,
+      "step": 720
+    },
+    {
+      "entropy": 6.674065732955933,
+      "epoch": 0.6006628003314002,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000362,
+      "loss": 6.5301,
+      "mean_token_accuracy": 0.10648825243115426,
+      "num_tokens": 1324629.0,
+      "step": 725
+    },
+    {
+      "entropy": 6.700368881225586,
+      "epoch": 0.6048053024026512,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0003645,
+      "loss": 6.6444,
+      "mean_token_accuracy": 0.10443340390920638,
+      "num_tokens": 1334152.0,
+      "step": 730
+    },
+    {
+      "entropy": 6.779498624801636,
+      "epoch": 0.6089478044739023,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000367,
+      "loss": 6.5946,
+      "mean_token_accuracy": 0.10130336955189705,
+      "num_tokens": 1343063.0,
+      "step": 735
+    },
+    {
+      "entropy": 6.684298419952393,
+      "epoch": 0.6130903065451533,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0003695,
+      "loss": 6.5241,
+      "mean_token_accuracy": 0.10516620799899101,
+      "num_tokens": 1352632.0,
+      "step": 740
+    },
+    {
+      "entropy": 6.582866573333741,
+      "epoch": 0.6172328086164043,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000372,
+      "loss": 6.4712,
+      "mean_token_accuracy": 0.10765027329325676,
+      "num_tokens": 1361103.0,
+      "step": 745
+    },
+    {
+      "entropy": 6.643687963485718,
+      "epoch": 0.6213753106876554,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003745,
+      "loss": 6.4642,
+      "mean_token_accuracy": 0.10832677409052849,
+      "num_tokens": 1370658.0,
+      "step": 750
+    },
+    {
+      "entropy": 6.64506516456604,
+      "epoch": 0.6255178127589064,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000377,
+      "loss": 6.4878,
+      "mean_token_accuracy": 0.10808288529515267,
+      "num_tokens": 1379817.0,
+      "step": 755
+    },
+    {
+      "entropy": 6.640752458572388,
+      "epoch": 0.6296603148301574,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003795,
+      "loss": 6.4418,
+      "mean_token_accuracy": 0.10874675288796425,
+      "num_tokens": 1389329.0,
+      "step": 760
+    },
+    {
+      "entropy": 6.4627049446105955,
+      "epoch": 0.6338028169014085,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000382,
+      "loss": 6.4902,
+      "mean_token_accuracy": 0.10606684386730195,
+      "num_tokens": 1399279.0,
+      "step": 765
+    },
+    {
+      "entropy": 6.621781063079834,
+      "epoch": 0.6379453189726595,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003845,
+      "loss": 6.4146,
+      "mean_token_accuracy": 0.11267002299427986,
+      "num_tokens": 1408765.0,
+      "step": 770
+    },
+    {
+      "entropy": 6.736465692520142,
+      "epoch": 0.6420878210439105,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038700000000000003,
+      "loss": 6.5632,
+      "mean_token_accuracy": 0.10607504546642303,
+      "num_tokens": 1418615.0,
+      "step": 775
+    },
+    {
+      "entropy": 6.616378879547119,
+      "epoch": 0.6462303231151616,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038950000000000003,
+      "loss": 6.4664,
+      "mean_token_accuracy": 0.10207068845629692,
+      "num_tokens": 1427359.0,
+      "step": 780
+    },
+    {
+      "entropy": 6.70065336227417,
+      "epoch": 0.6503728251864126,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00039200000000000004,
+      "loss": 6.622,
+      "mean_token_accuracy": 0.1116428442299366,
+      "num_tokens": 1435516.0,
+      "step": 785
+    },
+    {
+      "entropy": 6.709064102172851,
+      "epoch": 0.6545153272576636,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00039450000000000005,
+      "loss": 6.5704,
+      "mean_token_accuracy": 0.10583743155002594,
+      "num_tokens": 1444438.0,
+      "step": 790
+    },
+    {
+      "entropy": 6.671351766586303,
+      "epoch": 0.6586578293289147,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00039700000000000005,
+      "loss": 6.4996,
+      "mean_token_accuracy": 0.11326526403427124,
+      "num_tokens": 1453740.0,
+      "step": 795
+    },
+    {
+      "entropy": 6.614573907852173,
+      "epoch": 0.6628003314001657,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003995,
+      "loss": 6.4874,
+      "mean_token_accuracy": 0.11111863479018211,
+      "num_tokens": 1462083.0,
+      "step": 800
+    },
+    {
+      "entropy": 6.484545516967773,
+      "epoch": 0.6669428334714167,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000402,
+      "loss": 6.4127,
+      "mean_token_accuracy": 0.1100592203438282,
+      "num_tokens": 1471459.0,
+      "step": 805
+    },
+    {
+      "entropy": 6.621589279174804,
+      "epoch": 0.6710853355426678,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004045,
+      "loss": 6.3972,
+      "mean_token_accuracy": 0.11681128293275833,
+      "num_tokens": 1480516.0,
+      "step": 810
+    },
+    {
+      "entropy": 6.421737241744995,
+      "epoch": 0.6752278376139188,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00040699999999999997,
+      "loss": 6.3,
+      "mean_token_accuracy": 0.11318568140268326,
+      "num_tokens": 1489268.0,
+      "step": 815
+    },
+    {
+      "entropy": 6.700246906280517,
+      "epoch": 0.6793703396851698,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004095,
+      "loss": 6.5174,
+      "mean_token_accuracy": 0.11110908538103104,
+      "num_tokens": 1498819.0,
+      "step": 820
+    },
+    {
+      "entropy": 6.622490644454956,
+      "epoch": 0.6835128417564209,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000412,
+      "loss": 6.501,
+      "mean_token_accuracy": 0.11033953949809075,
+      "num_tokens": 1507852.0,
+      "step": 825
+    },
+    {
+      "entropy": 6.59730544090271,
+      "epoch": 0.6876553438276719,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004145,
+      "loss": 6.5302,
+      "mean_token_accuracy": 0.11122860461473465,
+      "num_tokens": 1517538.0,
+      "step": 830
+    },
+    {
+      "entropy": 6.458763217926025,
+      "epoch": 0.6917978458989229,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000417,
+      "loss": 6.4061,
+      "mean_token_accuracy": 0.11324542313814163,
+      "num_tokens": 1525389.0,
+      "step": 835
+    },
+    {
+      "entropy": 6.57511887550354,
+      "epoch": 0.695940347970174,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004195,
+      "loss": 6.3741,
+      "mean_token_accuracy": 0.11116622686386109,
+      "num_tokens": 1534117.0,
+      "step": 840
+    },
+    {
+      "entropy": 6.522304344177246,
+      "epoch": 0.700082850041425,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000422,
+      "loss": 6.4029,
+      "mean_token_accuracy": 0.11315450444817543,
+      "num_tokens": 1542610.0,
+      "step": 845
+    },
+    {
+      "entropy": 6.5175107479095455,
+      "epoch": 0.704225352112676,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004245,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.1143906556069851,
+      "num_tokens": 1551771.0,
+      "step": 850
+    },
+    {
+      "entropy": 6.620167636871338,
+      "epoch": 0.7083678541839271,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.000427,
+      "loss": 6.5779,
+      "mean_token_accuracy": 0.10512799099087715,
+      "num_tokens": 1560231.0,
+      "step": 855
+    },
+    {
+      "entropy": 6.589151382446289,
+      "epoch": 0.7125103562551781,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004295,
+      "loss": 6.5346,
+      "mean_token_accuracy": 0.10532297939062119,
+      "num_tokens": 1569578.0,
+      "step": 860
+    },
+    {
+      "entropy": 6.563750839233398,
+      "epoch": 0.7166528583264291,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000432,
+      "loss": 6.4187,
+      "mean_token_accuracy": 0.11381370946764946,
+      "num_tokens": 1579308.0,
+      "step": 865
+    },
+    {
+      "entropy": 6.597287034988403,
+      "epoch": 0.7207953603976802,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004345,
+      "loss": 6.6081,
+      "mean_token_accuracy": 0.10267190784215927,
+      "num_tokens": 1589506.0,
+      "step": 870
+    },
+    {
+      "entropy": 6.482245397567749,
+      "epoch": 0.7249378624689312,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000437,
+      "loss": 6.3671,
+      "mean_token_accuracy": 0.11368186473846435,
+      "num_tokens": 1598127.0,
+      "step": 875
+    },
+    {
+      "entropy": 6.548954200744629,
+      "epoch": 0.7290803645401823,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004395,
+      "loss": 6.4125,
+      "mean_token_accuracy": 0.11406067088246345,
+      "num_tokens": 1608073.0,
+      "step": 880
+    },
+    {
+      "entropy": 6.551317119598389,
+      "epoch": 0.7332228666114333,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000442,
+      "loss": 6.4304,
+      "mean_token_accuracy": 0.11178040653467178,
+      "num_tokens": 1616272.0,
+      "step": 885
+    },
+    {
+      "entropy": 6.496135663986206,
+      "epoch": 0.7373653686826843,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004445,
+      "loss": 6.447,
+      "mean_token_accuracy": 0.10845504105091094,
+      "num_tokens": 1625577.0,
+      "step": 890
+    },
+    {
+      "entropy": 6.685812950134277,
+      "epoch": 0.7415078707539354,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000447,
+      "loss": 6.533,
+      "mean_token_accuracy": 0.10158233270049095,
+      "num_tokens": 1634902.0,
+      "step": 895
+    },
+    {
+      "entropy": 6.520436191558838,
+      "epoch": 0.7456503728251864,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00044950000000000003,
+      "loss": 6.4674,
+      "mean_token_accuracy": 0.10865833014249801,
+      "num_tokens": 1644131.0,
+      "step": 900
+    },
+    {
+      "entropy": 6.461379718780518,
+      "epoch": 0.7497928748964374,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00045200000000000004,
+      "loss": 6.3694,
+      "mean_token_accuracy": 0.12158194407820702,
+      "num_tokens": 1652272.0,
+      "step": 905
+    },
+    {
+      "entropy": 6.533070278167725,
+      "epoch": 0.7539353769676885,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00045450000000000004,
+      "loss": 6.4632,
+      "mean_token_accuracy": 0.11447574123740197,
+      "num_tokens": 1660962.0,
+      "step": 910
+    },
+    {
+      "entropy": 6.475569725036621,
+      "epoch": 0.7580778790389395,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045700000000000005,
+      "loss": 6.4006,
+      "mean_token_accuracy": 0.11205699220299721,
+      "num_tokens": 1670570.0,
+      "step": 915
+    },
+    {
+      "entropy": 6.526782608032226,
+      "epoch": 0.7622203811101905,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00045950000000000006,
+      "loss": 6.4497,
+      "mean_token_accuracy": 0.1096197433769703,
+      "num_tokens": 1679674.0,
+      "step": 920
+    },
+    {
+      "entropy": 6.530770015716553,
+      "epoch": 0.7663628831814416,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000462,
+      "loss": 6.4324,
+      "mean_token_accuracy": 0.11466658413410187,
+      "num_tokens": 1688849.0,
+      "step": 925
+    },
+    {
+      "entropy": 6.4163538932800295,
+      "epoch": 0.7705053852526926,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004645,
+      "loss": 6.3128,
+      "mean_token_accuracy": 0.1098814107477665,
+      "num_tokens": 1698565.0,
+      "step": 930
+    },
+    {
+      "entropy": 6.5036052703857425,
+      "epoch": 0.7746478873239436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000467,
+      "loss": 6.3986,
+      "mean_token_accuracy": 0.11683695837855339,
+      "num_tokens": 1708009.0,
+      "step": 935
+    },
+    {
+      "entropy": 6.518198871612549,
+      "epoch": 0.7787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004695,
+      "loss": 6.3878,
+      "mean_token_accuracy": 0.1126109592616558,
+      "num_tokens": 1716497.0,
+      "step": 940
+    },
+    {
+      "entropy": 6.415347719192505,
+      "epoch": 0.7829328914664457,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000472,
+      "loss": 6.4082,
+      "mean_token_accuracy": 0.12070046439766884,
+      "num_tokens": 1725609.0,
+      "step": 945
+    },
+    {
+      "entropy": 6.477306175231933,
+      "epoch": 0.7870753935376967,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004745,
+      "loss": 6.3456,
+      "mean_token_accuracy": 0.11454906165599824,
+      "num_tokens": 1734165.0,
+      "step": 950
+    },
+    {
+      "entropy": 6.454520893096924,
+      "epoch": 0.7912178956089478,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000477,
+      "loss": 6.4546,
+      "mean_token_accuracy": 0.10918105840682983,
+      "num_tokens": 1744856.0,
+      "step": 955
+    },
+    {
+      "entropy": 6.4711943626403805,
+      "epoch": 0.7953603976801988,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004795,
+      "loss": 6.4509,
+      "mean_token_accuracy": 0.10578904524445534,
+      "num_tokens": 1753386.0,
+      "step": 960
+    },
+    {
+      "entropy": 6.4536961078643795,
+      "epoch": 0.7995028997514498,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000482,
+      "loss": 6.3053,
+      "mean_token_accuracy": 0.11872726455330848,
+      "num_tokens": 1762521.0,
+      "step": 965
+    },
+    {
+      "entropy": 6.34936490058899,
+      "epoch": 0.8036454018227009,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004845,
+      "loss": 6.3765,
+      "mean_token_accuracy": 0.11444728896021843,
+      "num_tokens": 1772403.0,
+      "step": 970
+    },
+    {
+      "entropy": 6.375087881088257,
+      "epoch": 0.8077879038939519,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000487,
+      "loss": 6.2884,
+      "mean_token_accuracy": 0.11179185584187508,
+      "num_tokens": 1780924.0,
+      "step": 975
+    },
+    {
+      "entropy": 6.547906732559204,
+      "epoch": 0.8119304059652029,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004895,
+      "loss": 6.4367,
+      "mean_token_accuracy": 0.11225800514221192,
+      "num_tokens": 1789992.0,
+      "step": 980
+    },
+    {
+      "entropy": 6.421040678024292,
+      "epoch": 0.816072908036454,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000492,
+      "loss": 6.3919,
+      "mean_token_accuracy": 0.11761699616909027,
+      "num_tokens": 1799513.0,
+      "step": 985
+    },
+    {
+      "entropy": 6.332476711273193,
+      "epoch": 0.820215410107705,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0004945,
+      "loss": 6.2287,
+      "mean_token_accuracy": 0.11279567033052444,
+      "num_tokens": 1807393.0,
+      "step": 990
+    },
+    {
+      "entropy": 6.438618326187134,
+      "epoch": 0.824357912178956,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000497,
+      "loss": 6.5079,
+      "mean_token_accuracy": 0.10579989776015282,
+      "num_tokens": 1817284.0,
+      "step": 995
+    },
+    {
+      "entropy": 6.449818515777588,
+      "epoch": 0.8285004142502072,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004995,
+      "loss": 6.2996,
+      "mean_token_accuracy": 0.11799877136945724,
+      "num_tokens": 1825591.0,
+      "step": 1000
+    },
+    {
+      "epoch": 0.8285004142502072,
+      "eval_entropy": 6.222835092402216,
+      "eval_loss": 6.475013256072998,
+      "eval_mean_token_accuracy": 0.11269166863866961,
+      "eval_num_tokens": 1825591.0,
+      "eval_runtime": 2.7611,
+      "eval_samples_per_second": 1357.068,
+      "eval_steps_per_second": 169.86,
+      "step": 1000
+    },
+    {
+      "entropy": 6.457831478118896,
+      "epoch": 0.8326429163214581,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0004999998547681232,
+      "loss": 6.3959,
+      "mean_token_accuracy": 0.11798396334052086,
+      "num_tokens": 1834655.0,
+      "step": 1005
+    },
+    {
+      "entropy": 6.26599349975586,
+      "epoch": 0.8367854183927091,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004999992647639447,
+      "loss": 6.2578,
+      "mean_token_accuracy": 0.11858200430870056,
+      "num_tokens": 1844187.0,
+      "step": 1010
+    },
+    {
+      "entropy": 6.415271520614624,
+      "epoch": 0.8409279204639603,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999982209116618,
+      "loss": 6.3345,
+      "mean_token_accuracy": 0.11406200677156449,
+      "num_tokens": 1852768.0,
+      "step": 1015
+    },
+    {
+      "entropy": 6.355557584762574,
+      "epoch": 0.8450704225352113,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004999967232133796,
+      "loss": 6.3913,
+      "mean_token_accuracy": 0.12348653748631477,
+      "num_tokens": 1862095.0,
+      "step": 1020
+    },
+    {
+      "entropy": 6.427043008804321,
+      "epoch": 0.8492129246064622,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004999947716721196,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.10961534604430198,
+      "num_tokens": 1871239.0,
+      "step": 1025
+    },
+    {
+      "entropy": 6.509608554840088,
+      "epoch": 0.8533554266777134,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004999923662918179,
+      "loss": 6.4323,
+      "mean_token_accuracy": 0.11334251016378402,
+      "num_tokens": 1880065.0,
+      "step": 1030
+    },
+    {
+      "entropy": 6.417975521087646,
+      "epoch": 0.8574979287489644,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999895070773266,
+      "loss": 6.4608,
+      "mean_token_accuracy": 0.10985229611396789,
+      "num_tokens": 1889065.0,
+      "step": 1035
+    },
+    {
+      "entropy": 6.429206514358521,
+      "epoch": 0.8616404308202155,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999861940344129,
+      "loss": 6.4721,
+      "mean_token_accuracy": 0.11190373301506043,
+      "num_tokens": 1898238.0,
+      "step": 1040
+    },
+    {
+      "entropy": 6.462369585037232,
+      "epoch": 0.8657829328914665,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004999824271697597,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.12136606723070145,
+      "num_tokens": 1906780.0,
+      "step": 1045
+    },
+    {
+      "entropy": 6.506088638305664,
+      "epoch": 0.8699254349627175,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000499978206490965,
+      "loss": 6.4745,
+      "mean_token_accuracy": 0.11197563111782075,
+      "num_tokens": 1916183.0,
+      "step": 1050
+    },
+    {
+      "entropy": 6.427097368240356,
+      "epoch": 0.8740679370339686,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999735320065427,
+      "loss": 6.3371,
+      "mean_token_accuracy": 0.11927392706274986,
+      "num_tokens": 1925382.0,
+      "step": 1055
+    },
+    {
+      "entropy": 6.292429256439209,
+      "epoch": 0.8782104391052196,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999684037259216,
+      "loss": 6.1827,
+      "mean_token_accuracy": 0.1270924136042595,
+      "num_tokens": 1933639.0,
+      "step": 1060
+    },
+    {
+      "entropy": 6.3600146770477295,
+      "epoch": 0.8823529411764706,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999628216594456,
+      "loss": 6.464,
+      "mean_token_accuracy": 0.11409285366535186,
+      "num_tokens": 1943044.0,
+      "step": 1065
+    },
+    {
+      "entropy": 6.460871028900146,
+      "epoch": 0.8864954432477217,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000499956785818375,
+      "loss": 6.303,
+      "mean_token_accuracy": 0.11871922463178634,
+      "num_tokens": 1951777.0,
+      "step": 1070
+    },
+    {
+      "entropy": 6.376981210708618,
+      "epoch": 0.8906379453189727,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004999502962148843,
+      "loss": 6.3666,
+      "mean_token_accuracy": 0.1170460693538189,
+      "num_tokens": 1961356.0,
+      "step": 1075
+    },
+    {
+      "entropy": 6.439280414581299,
+      "epoch": 0.8947804473902237,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000499943352862064,
+      "loss": 6.4248,
+      "mean_token_accuracy": 0.11459407210350037,
+      "num_tokens": 1970341.0,
+      "step": 1080
+    },
+    {
+      "entropy": 6.394289827346801,
+      "epoch": 0.8989229494614748,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004999359557739194,
+      "loss": 6.2796,
+      "mean_token_accuracy": 0.12198276743292809,
+      "num_tokens": 1978576.0,
+      "step": 1085
+    },
+    {
+      "entropy": 6.319045782089233,
+      "epoch": 0.9030654515327258,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004999281049653713,
+      "loss": 6.3227,
+      "mean_token_accuracy": 0.11601013913750649,
+      "num_tokens": 1987229.0,
+      "step": 1090
+    },
+    {
+      "entropy": 6.376017141342163,
+      "epoch": 0.9072079536039768,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999198004522557,
+      "loss": 6.261,
+      "mean_token_accuracy": 0.12269015237689018,
+      "num_tokens": 1996473.0,
+      "step": 1095
+    },
+    {
+      "entropy": 6.2405853271484375,
+      "epoch": 0.9113504556752279,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999110422513237,
+      "loss": 6.286,
+      "mean_token_accuracy": 0.12056776732206345,
+      "num_tokens": 2005551.0,
+      "step": 1100
+    },
+    {
+      "entropy": 6.398191165924072,
+      "epoch": 0.9154929577464789,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999018303802414,
+      "loss": 6.3869,
+      "mean_token_accuracy": 0.11947718560695648,
+      "num_tokens": 2015012.0,
+      "step": 1105
+    },
+    {
+      "entropy": 6.374700450897217,
+      "epoch": 0.9196354598177299,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004998921648575904,
+      "loss": 6.3999,
+      "mean_token_accuracy": 0.1203969657421112,
+      "num_tokens": 2024435.0,
+      "step": 1110
+    },
+    {
+      "entropy": 6.380674362182617,
+      "epoch": 0.923777961888981,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004998820457028669,
+      "loss": 6.3005,
+      "mean_token_accuracy": 0.12089794874191284,
+      "num_tokens": 2033991.0,
+      "step": 1115
+    },
+    {
+      "entropy": 6.409522771835327,
+      "epoch": 0.927920463960232,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998714729364824,
+      "loss": 6.3017,
+      "mean_token_accuracy": 0.1228084571659565,
+      "num_tokens": 2043117.0,
+      "step": 1120
+    },
+    {
+      "entropy": 6.326260423660278,
+      "epoch": 0.932062966031483,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004998604465797634,
+      "loss": 6.3305,
+      "mean_token_accuracy": 0.11992078274488449,
+      "num_tokens": 2052304.0,
+      "step": 1125
+    },
+    {
+      "entropy": 6.251798295974732,
+      "epoch": 0.9362054681027341,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998489666549512,
+      "loss": 6.2779,
+      "mean_token_accuracy": 0.12114684730768203,
+      "num_tokens": 2061217.0,
+      "step": 1130
+    },
+    {
+      "entropy": 6.319644594192505,
+      "epoch": 0.9403479701739851,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.0004998370331852021,
+      "loss": 6.2517,
+      "mean_token_accuracy": 0.11879112273454666,
+      "num_tokens": 2070796.0,
+      "step": 1135
+    },
+    {
+      "entropy": 6.465651321411133,
+      "epoch": 0.9444904722452361,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004998246461945872,
+      "loss": 6.4037,
+      "mean_token_accuracy": 0.12191760018467904,
+      "num_tokens": 2080202.0,
+      "step": 1140
+    },
+    {
+      "entropy": 6.320812797546386,
+      "epoch": 0.9486329743164872,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004998118057080923,
+      "loss": 6.3045,
+      "mean_token_accuracy": 0.11891168132424354,
+      "num_tokens": 2089788.0,
+      "step": 1145
+    },
+    {
+      "entropy": 6.301202344894409,
+      "epoch": 0.9527754763877382,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004997985117516183,
+      "loss": 6.3462,
+      "mean_token_accuracy": 0.11142431199550629,
+      "num_tokens": 2098727.0,
+      "step": 1150
+    },
+    {
+      "entropy": 6.344118309020996,
+      "epoch": 0.9569179784589892,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997847643519803,
+      "loss": 6.226,
+      "mean_token_accuracy": 0.11924557387828827,
+      "num_tokens": 2107645.0,
+      "step": 1155
+    },
+    {
+      "entropy": 6.1790977954864506,
+      "epoch": 0.9610604805302403,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997705635369085,
+      "loss": 6.1991,
+      "mean_token_accuracy": 0.11988648250699044,
+      "num_tokens": 2116613.0,
+      "step": 1160
+    },
+    {
+      "entropy": 6.284418439865112,
+      "epoch": 0.9652029826014913,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004997559093350474,
+      "loss": 6.1881,
+      "mean_token_accuracy": 0.12116428092122078,
+      "num_tokens": 2125585.0,
+      "step": 1165
+    },
+    {
+      "entropy": 6.396596622467041,
+      "epoch": 0.9693454846727423,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004997408017759562,
+      "loss": 6.3359,
+      "mean_token_accuracy": 0.11936862170696258,
+      "num_tokens": 2134795.0,
+      "step": 1170
+    },
+    {
+      "entropy": 6.273751878738404,
+      "epoch": 0.9734879867439934,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004997252408901084,
+      "loss": 6.3271,
+      "mean_token_accuracy": 0.11899949684739113,
+      "num_tokens": 2143699.0,
+      "step": 1175
+    },
+    {
+      "entropy": 6.386678028106689,
+      "epoch": 0.9776304888152444,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004997092267088922,
+      "loss": 6.2707,
+      "mean_token_accuracy": 0.11861606612801552,
+      "num_tokens": 2152187.0,
+      "step": 1180
+    },
+    {
+      "entropy": 6.275117111206055,
+      "epoch": 0.9817729908864954,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004996927592646097,
+      "loss": 6.3412,
+      "mean_token_accuracy": 0.11767763197422028,
+      "num_tokens": 2160941.0,
+      "step": 1185
+    },
+    {
+      "entropy": 6.339710283279419,
+      "epoch": 0.9859154929577465,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004996758385904776,
+      "loss": 6.3119,
+      "mean_token_accuracy": 0.11789651140570641,
+      "num_tokens": 2168946.0,
+      "step": 1190
+    },
+    {
+      "entropy": 6.181374216079712,
+      "epoch": 0.9900579950289975,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004996584647206269,
+      "loss": 6.2237,
+      "mean_token_accuracy": 0.12055367529392243,
+      "num_tokens": 2177662.0,
+      "step": 1195
+    },
+    {
+      "entropy": 6.316773986816406,
+      "epoch": 0.9942004971002486,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004996406376901026,
+      "loss": 6.3268,
+      "mean_token_accuracy": 0.12757316455245019,
+      "num_tokens": 2187461.0,
+      "step": 1200
+    },
+    {
+      "entropy": 6.283385133743286,
+      "epoch": 0.9983429991714996,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004996223575348635,
+      "loss": 6.2207,
+      "mean_token_accuracy": 0.12578138560056687,
+      "num_tokens": 2196878.0,
+      "step": 1205
+    },
+    {
+      "entropy": 6.311019659042358,
+      "epoch": 1.0024855012427507,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004996036242917828,
+      "loss": 6.2021,
+      "mean_token_accuracy": 0.1151522897183895,
+      "num_tokens": 2206178.0,
+      "step": 1210
+    },
+    {
+      "entropy": 6.25421667098999,
+      "epoch": 1.0066280033140016,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004995844379986476,
+      "loss": 6.0526,
+      "mean_token_accuracy": 0.12476176023483276,
+      "num_tokens": 2215330.0,
+      "step": 1215
+    },
+    {
+      "entropy": 6.309921216964722,
+      "epoch": 1.0107705053852527,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004995647986941587,
+      "loss": 6.0354,
+      "mean_token_accuracy": 0.13005029112100602,
+      "num_tokens": 2224146.0,
+      "step": 1220
+    },
+    {
+      "entropy": 6.241363286972046,
+      "epoch": 1.0149130074565038,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004995447064179308,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13421598002314566,
+      "num_tokens": 2233646.0,
+      "step": 1225
+    },
+    {
+      "entropy": 6.058859920501709,
+      "epoch": 1.0190555095277547,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.000499524161210492,
+      "loss": 5.9379,
+      "mean_token_accuracy": 0.12560308948159218,
+      "num_tokens": 2243663.0,
+      "step": 1230
+    },
+    {
+      "entropy": 6.270004224777222,
+      "epoch": 1.0231980115990058,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004995031631132844,
+      "loss": 6.1035,
+      "mean_token_accuracy": 0.13170127123594283,
+      "num_tokens": 2252564.0,
+      "step": 1235
+    },
+    {
+      "entropy": 6.2710247993469235,
+      "epoch": 1.027340513670257,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004994817121686633,
+      "loss": 6.099,
+      "mean_token_accuracy": 0.12465815395116805,
+      "num_tokens": 2262504.0,
+      "step": 1240
+    },
+    {
+      "entropy": 6.193396997451782,
+      "epoch": 1.0314830157415078,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004994598084198979,
+      "loss": 5.9843,
+      "mean_token_accuracy": 0.1374910719692707,
+      "num_tokens": 2270553.0,
+      "step": 1245
+    },
+    {
+      "entropy": 6.136552810668945,
+      "epoch": 1.035625517812759,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004994374519111701,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.1272726461291313,
+      "num_tokens": 2279319.0,
+      "step": 1250
+    },
+    {
+      "entropy": 6.217378282546997,
+      "epoch": 1.03976801988401,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004994146426875757,
+      "loss": 6.123,
+      "mean_token_accuracy": 0.126935476064682,
+      "num_tokens": 2288749.0,
+      "step": 1255
+    },
+    {
+      "entropy": 6.218695068359375,
+      "epoch": 1.043910521955261,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004993913807951232,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.12562426924705505,
+      "num_tokens": 2298272.0,
+      "step": 1260
+    },
+    {
+      "entropy": 6.221994352340698,
+      "epoch": 1.048053024026512,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004993676662807345,
+      "loss": 6.047,
+      "mean_token_accuracy": 0.12884460240602494,
+      "num_tokens": 2307230.0,
+      "step": 1265
+    },
+    {
+      "entropy": 6.183428144454956,
+      "epoch": 1.0521955260977631,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004993434991922443,
+      "loss": 6.1317,
+      "mean_token_accuracy": 0.12460145726799965,
+      "num_tokens": 2316306.0,
+      "step": 1270
+    },
+    {
+      "entropy": 6.22090425491333,
+      "epoch": 1.056338028169014,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004993188795784002,
+      "loss": 6.0531,
+      "mean_token_accuracy": 0.1241947129368782,
+      "num_tokens": 2325672.0,
+      "step": 1275
+    },
+    {
+      "entropy": 6.1453857421875,
+      "epoch": 1.0604805302402651,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004992938074888628,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.1274007849395275,
+      "num_tokens": 2335251.0,
+      "step": 1280
+    },
+    {
+      "entropy": 6.180039167404175,
+      "epoch": 1.0646230323115162,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004992682829742052,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.1308726042509079,
+      "num_tokens": 2344054.0,
+      "step": 1285
+    },
+    {
+      "entropy": 6.086296463012696,
+      "epoch": 1.0687655343827671,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004992423060859132,
+      "loss": 6.0236,
+      "mean_token_accuracy": 0.127706591039896,
+      "num_tokens": 2353493.0,
+      "step": 1290
+    },
+    {
+      "entropy": 6.223158740997315,
+      "epoch": 1.0729080364540182,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004992158768763849,
+      "loss": 6.1321,
+      "mean_token_accuracy": 0.12850543335080147,
+      "num_tokens": 2362687.0,
+      "step": 1295
+    },
+    {
+      "entropy": 6.2506636619567875,
+      "epoch": 1.0770505385252693,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004991889953989308,
+      "loss": 6.0965,
+      "mean_token_accuracy": 0.12563316524028778,
+      "num_tokens": 2372325.0,
+      "step": 1300
+    },
+    {
+      "entropy": 6.173602199554443,
+      "epoch": 1.0811930405965202,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004991616617077741,
+      "loss": 6.12,
+      "mean_token_accuracy": 0.1287991665303707,
+      "num_tokens": 2381987.0,
+      "step": 1305
+    },
+    {
+      "entropy": 6.307486963272095,
+      "epoch": 1.0853355426677713,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004991338758580496,
+      "loss": 6.0234,
+      "mean_token_accuracy": 0.13178783878684044,
+      "num_tokens": 2390901.0,
+      "step": 1310
+    },
+    {
+      "entropy": 6.034789133071899,
+      "epoch": 1.0894780447390224,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004991056379058045,
+      "loss": 6.0813,
+      "mean_token_accuracy": 0.12450421676039695,
+      "num_tokens": 2400756.0,
+      "step": 1315
+    },
+    {
+      "entropy": 6.188017988204956,
+      "epoch": 1.0936205468102733,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004990769479079976,
+      "loss": 5.9232,
+      "mean_token_accuracy": 0.12984196096658707,
+      "num_tokens": 2409526.0,
+      "step": 1320
+    },
+    {
+      "entropy": 6.086554956436157,
+      "epoch": 1.0977630488815244,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004990478059225003,
+      "loss": 6.0931,
+      "mean_token_accuracy": 0.12972966134548186,
+      "num_tokens": 2419583.0,
+      "step": 1325
+    },
+    {
+      "entropy": 6.2457873821258545,
+      "epoch": 1.1019055509527755,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004990182120080945,
+      "loss": 6.0338,
+      "mean_token_accuracy": 0.12990806251764297,
+      "num_tokens": 2429439.0,
+      "step": 1330
+    },
+    {
+      "entropy": 6.078778219223023,
+      "epoch": 1.1060480530240264,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004989881662244748,
+      "loss": 6.0416,
+      "mean_token_accuracy": 0.12380676046013832,
+      "num_tokens": 2438467.0,
+      "step": 1335
+    },
+    {
+      "entropy": 6.138932418823242,
+      "epoch": 1.1101905550952775,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004989576686322468,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.1332716926932335,
+      "num_tokens": 2446619.0,
+      "step": 1340
+    },
+    {
+      "entropy": 6.1281578540802,
+      "epoch": 1.1143330571665286,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004989267192929272,
+      "loss": 6.0379,
+      "mean_token_accuracy": 0.12955363765358924,
+      "num_tokens": 2454998.0,
+      "step": 1345
+    },
+    {
+      "entropy": 6.09554443359375,
+      "epoch": 1.1184755592377795,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004988953182689445,
+      "loss": 6.0072,
+      "mean_token_accuracy": 0.13532012328505516,
+      "num_tokens": 2463497.0,
+      "step": 1350
+    },
+    {
+      "entropy": 6.134703922271728,
+      "epoch": 1.1226180613090306,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004988634656236378,
+      "loss": 5.9216,
+      "mean_token_accuracy": 0.13609320148825646,
+      "num_tokens": 2471763.0,
+      "step": 1355
+    },
+    {
+      "entropy": 6.145527791976929,
+      "epoch": 1.1267605633802817,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004988311614212576,
+      "loss": 6.0016,
+      "mean_token_accuracy": 0.1402701161801815,
+      "num_tokens": 2479949.0,
+      "step": 1360
+    },
+    {
+      "entropy": 6.116470623016357,
+      "epoch": 1.1309030654515326,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004987984057269648,
+      "loss": 6.0539,
+      "mean_token_accuracy": 0.13444141745567323,
+      "num_tokens": 2489097.0,
+      "step": 1365
+    },
+    {
+      "entropy": 5.972180604934692,
+      "epoch": 1.1350455675227837,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004987651986068311,
+      "loss": 5.8781,
+      "mean_token_accuracy": 0.13601028621196748,
+      "num_tokens": 2497625.0,
+      "step": 1370
+    },
+    {
+      "entropy": 6.143597984313965,
+      "epoch": 1.1391880695940348,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004987315401278394,
+      "loss": 6.1252,
+      "mean_token_accuracy": 0.1272761717438698,
+      "num_tokens": 2507107.0,
+      "step": 1375
+    },
+    {
+      "entropy": 6.286170959472656,
+      "epoch": 1.143330571665286,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004986974303578819,
+      "loss": 6.1408,
+      "mean_token_accuracy": 0.12348597794771195,
+      "num_tokens": 2516629.0,
+      "step": 1380
+    },
+    {
+      "entropy": 6.077923250198364,
+      "epoch": 1.1474730737365368,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004986628693657621,
+      "loss": 6.021,
+      "mean_token_accuracy": 0.1280151717364788,
+      "num_tokens": 2525924.0,
+      "step": 1385
+    },
+    {
+      "entropy": 6.229060649871826,
+      "epoch": 1.151615575807788,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004986278572211933,
+      "loss": 6.1723,
+      "mean_token_accuracy": 0.1280426375567913,
+      "num_tokens": 2535586.0,
+      "step": 1390
+    },
+    {
+      "entropy": 6.189875984191895,
+      "epoch": 1.1557580778790388,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004985923939947987,
+      "loss": 6.2595,
+      "mean_token_accuracy": 0.1247698113322258,
+      "num_tokens": 2546685.0,
+      "step": 1395
+    },
+    {
+      "entropy": 6.148470640182495,
+      "epoch": 1.15990057995029,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004985564797581115,
+      "loss": 5.9681,
+      "mean_token_accuracy": 0.12971177995204924,
+      "num_tokens": 2556873.0,
+      "step": 1400
+    },
+    {
+      "entropy": 6.143459701538086,
+      "epoch": 1.164043082021541,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004985201145835747,
+      "loss": 5.9836,
+      "mean_token_accuracy": 0.13127154856920242,
+      "num_tokens": 2565222.0,
+      "step": 1405
+    },
+    {
+      "entropy": 6.031957960128784,
+      "epoch": 1.1681855840927922,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.000498483298544541,
+      "loss": 5.9875,
+      "mean_token_accuracy": 0.13211632743477822,
+      "num_tokens": 2575467.0,
+      "step": 1410
+    },
+    {
+      "entropy": 6.136318731307983,
+      "epoch": 1.172328086164043,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000498446031715272,
+      "loss": 6.0125,
+      "mean_token_accuracy": 0.13508019223809242,
+      "num_tokens": 2583963.0,
+      "step": 1415
+    },
+    {
+      "entropy": 6.133963680267334,
+      "epoch": 1.1764705882352942,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004984083141709391,
+      "loss": 6.042,
+      "mean_token_accuracy": 0.13524071872234344,
+      "num_tokens": 2593350.0,
+      "step": 1420
+    },
+    {
+      "entropy": 5.975436115264893,
+      "epoch": 1.180613090306545,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000498370145987623,
+      "loss": 5.9652,
+      "mean_token_accuracy": 0.13682079091668128,
+      "num_tokens": 2602191.0,
+      "step": 1425
+    },
+    {
+      "entropy": 6.170718050003051,
+      "epoch": 1.1847555923777962,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004983315272423127,
+      "loss": 6.0999,
+      "mean_token_accuracy": 0.1291058838367462,
+      "num_tokens": 2613590.0,
+      "step": 1430
+    },
+    {
+      "entropy": 6.049332237243652,
+      "epoch": 1.1888980944490473,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004982924580129066,
+      "loss": 5.8895,
+      "mean_token_accuracy": 0.1340464949607849,
+      "num_tokens": 2622072.0,
+      "step": 1435
+    },
+    {
+      "entropy": 6.093293142318726,
+      "epoch": 1.1930405965202984,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004982529383782116,
+      "loss": 6.1012,
+      "mean_token_accuracy": 0.13022035285830497,
+      "num_tokens": 2630904.0,
+      "step": 1440
+    },
+    {
+      "entropy": 6.189996242523193,
+      "epoch": 1.1971830985915493,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004982129684179432,
+      "loss": 6.0594,
+      "mean_token_accuracy": 0.13088259026408194,
+      "num_tokens": 2639925.0,
+      "step": 1445
+    },
+    {
+      "entropy": 6.1187131881713865,
+      "epoch": 1.2013256006628004,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004981725482127251,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.13439981341362,
+      "num_tokens": 2649397.0,
+      "step": 1450
+    },
+    {
+      "entropy": 6.16315655708313,
+      "epoch": 1.2054681027340513,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004981316778440892,
+      "loss": 6.081,
+      "mean_token_accuracy": 0.13515593931078912,
+      "num_tokens": 2658877.0,
+      "step": 1455
+    },
+    {
+      "entropy": 6.063838720321655,
+      "epoch": 1.2096106048053024,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004980903573944756,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13121431767940522,
+      "num_tokens": 2668518.0,
+      "step": 1460
+    },
+    {
+      "entropy": 6.059180212020874,
+      "epoch": 1.2137531068765535,
+      "grad_norm": 1.0078125,
+      "learning_rate": 0.0004980485869472322,
+      "loss": 6.1148,
+      "mean_token_accuracy": 0.12996160089969636,
+      "num_tokens": 2677459.0,
+      "step": 1465
+    },
+    {
+      "entropy": 6.223527908325195,
+      "epoch": 1.2178956089478046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004980063665866143,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12482839822769165,
+      "num_tokens": 2686668.0,
+      "step": 1470
+    },
+    {
+      "entropy": 5.935272264480591,
+      "epoch": 1.2220381110190555,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004979636963977853,
+      "loss": 5.8825,
+      "mean_token_accuracy": 0.1352998949587345,
+      "num_tokens": 2695545.0,
+      "step": 1475
+    },
+    {
+      "entropy": 6.066101598739624,
+      "epoch": 1.2261806130903066,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004979205764668156,
+      "loss": 6.0569,
+      "mean_token_accuracy": 0.13228241056203843,
+      "num_tokens": 2705514.0,
+      "step": 1480
+    },
+    {
+      "entropy": 6.138315343856812,
+      "epoch": 1.2303231151615575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004978770068806825,
+      "loss": 5.9599,
+      "mean_token_accuracy": 0.13136665150523186,
+      "num_tokens": 2714373.0,
+      "step": 1485
+    },
+    {
+      "entropy": 6.061770391464234,
+      "epoch": 1.2344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.000497832987727271,
+      "loss": 6.0715,
+      "mean_token_accuracy": 0.1264137916266918,
+      "num_tokens": 2723887.0,
+      "step": 1490
+    },
+    {
+      "entropy": 6.061756038665772,
+      "epoch": 1.2386081193040597,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004977885190953724,
+      "loss": 5.956,
+      "mean_token_accuracy": 0.13353569880127908,
+      "num_tokens": 2733591.0,
+      "step": 1495
+    },
+    {
+      "entropy": 6.104292392730713,
+      "epoch": 1.2427506213753108,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004977436010746846,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.13720986992120743,
+      "num_tokens": 2741638.0,
+      "step": 1500
+    },
+    {
+      "epoch": 1.2427506213753108,
+      "eval_entropy": 6.029743814773397,
+      "eval_loss": 6.2611613273620605,
+      "eval_mean_token_accuracy": 0.12890694399219332,
+      "eval_num_tokens": 2741638.0,
+      "eval_runtime": 2.9518,
+      "eval_samples_per_second": 1269.399,
+      "eval_steps_per_second": 158.887,
+      "step": 1500
+    },
+    {
+      "entropy": 6.078821802139283,
+      "epoch": 1.2468931234465617,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004976982337558124,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13084649220108985,
+      "num_tokens": 2749711.0,
+      "step": 1505
+    },
+    {
+      "entropy": 6.094208097457885,
+      "epoch": 1.2510356255178128,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004976524172302665,
+      "loss": 6.121,
+      "mean_token_accuracy": 0.13192041367292404,
+      "num_tokens": 2758121.0,
+      "step": 1510
+    },
+    {
+      "entropy": 6.159745693206787,
+      "epoch": 1.2551781275890637,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004976061515904641,
+      "loss": 6.1181,
+      "mean_token_accuracy": 0.12667254582047463,
+      "num_tokens": 2766764.0,
+      "step": 1515
+    },
+    {
+      "entropy": 6.116680526733399,
+      "epoch": 1.2593206296603148,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004975594369297277,
+      "loss": 6.0557,
+      "mean_token_accuracy": 0.1348518520593643,
+      "num_tokens": 2775561.0,
+      "step": 1520
+    },
+    {
+      "entropy": 6.08063235282898,
+      "epoch": 1.2634631317315659,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004975122733422861,
+      "loss": 6.0201,
+      "mean_token_accuracy": 0.13085112273693084,
+      "num_tokens": 2784691.0,
+      "step": 1525
+    },
+    {
+      "entropy": 6.129113435745239,
+      "epoch": 1.267605633802817,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004974646609232732,
+      "loss": 5.9816,
+      "mean_token_accuracy": 0.13641836866736412,
+      "num_tokens": 2793893.0,
+      "step": 1530
+    },
+    {
+      "entropy": 6.108260202407837,
+      "epoch": 1.2717481358740679,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004974165997687288,
+      "loss": 6.0751,
+      "mean_token_accuracy": 0.13353196606040002,
+      "num_tokens": 2804479.0,
+      "step": 1535
+    },
+    {
+      "entropy": 6.16022138595581,
+      "epoch": 1.275890637945319,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004973680899755972,
+      "loss": 6.107,
+      "mean_token_accuracy": 0.1326654002070427,
+      "num_tokens": 2813966.0,
+      "step": 1540
+    },
+    {
+      "entropy": 6.007886743545532,
+      "epoch": 1.2800331400165699,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000497319131641728,
+      "loss": 5.9326,
+      "mean_token_accuracy": 0.13846119418740271,
+      "num_tokens": 2822328.0,
+      "step": 1545
+    },
+    {
+      "entropy": 6.003260755538941,
+      "epoch": 1.284175642087821,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004972697248658755,
+      "loss": 5.8899,
+      "mean_token_accuracy": 0.14066707715392113,
+      "num_tokens": 2829845.0,
+      "step": 1550
+    },
+    {
+      "entropy": 5.948832178115845,
+      "epoch": 1.288318144159072,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004972198697476987,
+      "loss": 5.8783,
+      "mean_token_accuracy": 0.13914238885045052,
+      "num_tokens": 2839040.0,
+      "step": 1555
+    },
+    {
+      "entropy": 5.961882209777832,
+      "epoch": 1.2924606462303232,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004971695663877607,
+      "loss": 5.9665,
+      "mean_token_accuracy": 0.13561231270432472,
+      "num_tokens": 2848574.0,
+      "step": 1560
+    },
+    {
+      "entropy": 6.077086877822876,
+      "epoch": 1.296603148301574,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004971188148875289,
+      "loss": 5.9421,
+      "mean_token_accuracy": 0.14444561377167703,
+      "num_tokens": 2856812.0,
+      "step": 1565
+    },
+    {
+      "entropy": 6.051652336120606,
+      "epoch": 1.3007456503728252,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004970676153493748,
+      "loss": 6.0283,
+      "mean_token_accuracy": 0.13189572617411613,
+      "num_tokens": 2866001.0,
+      "step": 1570
+    },
+    {
+      "entropy": 6.1068840503692625,
+      "epoch": 1.3048881524440763,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004970159678765731,
+      "loss": 6.0164,
+      "mean_token_accuracy": 0.13239546120166779,
+      "num_tokens": 2875181.0,
+      "step": 1575
+    },
+    {
+      "entropy": 6.049808597564697,
+      "epoch": 1.3090306545153272,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004969638725733028,
+      "loss": 5.9587,
+      "mean_token_accuracy": 0.13397156223654746,
+      "num_tokens": 2885103.0,
+      "step": 1580
+    },
+    {
+      "entropy": 5.92131872177124,
+      "epoch": 1.3131731565865783,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004969113295446455,
+      "loss": 5.9116,
+      "mean_token_accuracy": 0.1383065924048424,
+      "num_tokens": 2894055.0,
+      "step": 1585
+    },
+    {
+      "entropy": 6.116864538192749,
+      "epoch": 1.3173156586578294,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004968583388965863,
+      "loss": 5.9846,
+      "mean_token_accuracy": 0.133075200766325,
+      "num_tokens": 2903391.0,
+      "step": 1590
+    },
+    {
+      "entropy": 6.006745624542236,
+      "epoch": 1.3214581607290803,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004968049007360132,
+      "loss": 5.9854,
+      "mean_token_accuracy": 0.13297903537750244,
+      "num_tokens": 2911760.0,
+      "step": 1595
+    },
+    {
+      "entropy": 5.926331329345703,
+      "epoch": 1.3256006628003314,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004967510151707169,
+      "loss": 5.9369,
+      "mean_token_accuracy": 0.13469143435359002,
+      "num_tokens": 2920589.0,
+      "step": 1600
+    },
+    {
+      "entropy": 6.15295524597168,
+      "epoch": 1.3297431648715825,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004966966823093903,
+      "loss": 6.0746,
+      "mean_token_accuracy": 0.1302391268312931,
+      "num_tokens": 2929635.0,
+      "step": 1605
+    },
+    {
+      "entropy": 5.986531114578247,
+      "epoch": 1.3338856669428334,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004966419022616287,
+      "loss": 5.9349,
+      "mean_token_accuracy": 0.13593596145510672,
+      "num_tokens": 2938778.0,
+      "step": 1610
+    },
+    {
+      "entropy": 6.039755535125733,
+      "epoch": 1.3380281690140845,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004965866751379296,
+      "loss": 6.0503,
+      "mean_token_accuracy": 0.13109695687890052,
+      "num_tokens": 2947836.0,
+      "step": 1615
+    },
+    {
+      "entropy": 6.133180904388428,
+      "epoch": 1.3421706710853356,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004965310010496922,
+      "loss": 6.0032,
+      "mean_token_accuracy": 0.1280514419078827,
+      "num_tokens": 2957028.0,
+      "step": 1620
+    },
+    {
+      "entropy": 6.026159048080444,
+      "epoch": 1.3463131731565865,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004964748801092168,
+      "loss": 5.9571,
+      "mean_token_accuracy": 0.1338861681520939,
+      "num_tokens": 2966088.0,
+      "step": 1625
+    },
+    {
+      "entropy": 6.078959226608276,
+      "epoch": 1.3504556752278376,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004964183124297059,
+      "loss": 6.0438,
+      "mean_token_accuracy": 0.13178688064217567,
+      "num_tokens": 2975271.0,
+      "step": 1630
+    },
+    {
+      "entropy": 5.992210865020752,
+      "epoch": 1.3545981772990887,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004963612981252625,
+      "loss": 6.0524,
+      "mean_token_accuracy": 0.1321226365864277,
+      "num_tokens": 2983799.0,
+      "step": 1635
+    },
+    {
+      "entropy": 6.056794929504394,
+      "epoch": 1.3587406793703396,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004963038373108908,
+      "loss": 6.0179,
+      "mean_token_accuracy": 0.13609340488910676,
+      "num_tokens": 2992675.0,
+      "step": 1640
+    },
+    {
+      "entropy": 6.155933427810669,
+      "epoch": 1.3628831814415907,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004962459301024954,
+      "loss": 6.0838,
+      "mean_token_accuracy": 0.13211635649204254,
+      "num_tokens": 3002483.0,
+      "step": 1645
+    },
+    {
+      "entropy": 6.027872896194458,
+      "epoch": 1.3670256835128418,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004961875766168816,
+      "loss": 5.985,
+      "mean_token_accuracy": 0.13883458971977233,
+      "num_tokens": 3010611.0,
+      "step": 1650
+    },
+    {
+      "entropy": 6.057289028167725,
+      "epoch": 1.371168185584093,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004961287769717547,
+      "loss": 5.9397,
+      "mean_token_accuracy": 0.13197456523776055,
+      "num_tokens": 3019928.0,
+      "step": 1655
+    },
+    {
+      "entropy": 5.9325989246368405,
+      "epoch": 1.3753106876553438,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004960695312857199,
+      "loss": 5.9279,
+      "mean_token_accuracy": 0.13408055454492568,
+      "num_tokens": 3029003.0,
+      "step": 1660
+    },
+    {
+      "entropy": 6.0389604568481445,
+      "epoch": 1.379453189726595,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004960098396782824,
+      "loss": 5.9464,
+      "mean_token_accuracy": 0.1375861033797264,
+      "num_tokens": 3038049.0,
+      "step": 1665
+    },
+    {
+      "entropy": 5.969662141799927,
+      "epoch": 1.3835956917978458,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004959497022698466,
+      "loss": 5.9515,
+      "mean_token_accuracy": 0.14408120438456534,
+      "num_tokens": 3046674.0,
+      "step": 1670
+    },
+    {
+      "entropy": 6.0561059474945065,
+      "epoch": 1.387738193869097,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004958891191817163,
+      "loss": 5.9927,
+      "mean_token_accuracy": 0.12801324650645257,
+      "num_tokens": 3056459.0,
+      "step": 1675
+    },
+    {
+      "entropy": 6.032327270507812,
+      "epoch": 1.391880695940348,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000495828090536094,
+      "loss": 5.9845,
+      "mean_token_accuracy": 0.13036760538816453,
+      "num_tokens": 3066294.0,
+      "step": 1680
+    },
+    {
+      "entropy": 6.0512574195861815,
+      "epoch": 1.3960231980115991,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004957666164560815,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13139644563198088,
+      "num_tokens": 3075420.0,
+      "step": 1685
+    },
+    {
+      "entropy": 6.063203239440918,
+      "epoch": 1.40016570008285,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004957046970656784,
+      "loss": 6.0385,
+      "mean_token_accuracy": 0.13581736162304878,
+      "num_tokens": 3084373.0,
+      "step": 1690
+    },
+    {
+      "entropy": 6.00097541809082,
+      "epoch": 1.4043082021541011,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004956423324897831,
+      "loss": 6.0257,
+      "mean_token_accuracy": 0.13937310948967935,
+      "num_tokens": 3094212.0,
+      "step": 1695
+    },
+    {
+      "entropy": 6.043115425109863,
+      "epoch": 1.408450704225352,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004955795228541917,
+      "loss": 5.9589,
+      "mean_token_accuracy": 0.14452596232295037,
+      "num_tokens": 3102769.0,
+      "step": 1700
+    },
+    {
+      "entropy": 6.040110731124878,
+      "epoch": 1.4125932062966031,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000495516268285598,
+      "loss": 5.9805,
+      "mean_token_accuracy": 0.13440805301070213,
+      "num_tokens": 3111465.0,
+      "step": 1705
+    },
+    {
+      "entropy": 5.978239822387695,
+      "epoch": 1.4167357083678542,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004954525689115935,
+      "loss": 5.9177,
+      "mean_token_accuracy": 0.13326097056269645,
+      "num_tokens": 3121106.0,
+      "step": 1710
+    },
+    {
+      "entropy": 6.007881164550781,
+      "epoch": 1.4208782104391053,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004953884248606669,
+      "loss": 5.945,
+      "mean_token_accuracy": 0.14831372052431108,
+      "num_tokens": 3130662.0,
+      "step": 1715
+    },
+    {
+      "entropy": 5.97642674446106,
+      "epoch": 1.4250207125103562,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004953238362622034,
+      "loss": 5.9812,
+      "mean_token_accuracy": 0.13328263983130456,
+      "num_tokens": 3139538.0,
+      "step": 1720
+    },
+    {
+      "entropy": 6.0256367206573485,
+      "epoch": 1.4291632145816073,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004952588032464855,
+      "loss": 6.0298,
+      "mean_token_accuracy": 0.12707214802503586,
+      "num_tokens": 3148552.0,
+      "step": 1725
+    },
+    {
+      "entropy": 5.996851205825806,
+      "epoch": 1.4333057166528582,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004951933259446919,
+      "loss": 5.9365,
+      "mean_token_accuracy": 0.14197203740477563,
+      "num_tokens": 3156549.0,
+      "step": 1730
+    },
+    {
+      "entropy": 6.114988136291504,
+      "epoch": 1.4374482187241093,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004951274044888975,
+      "loss": 6.1006,
+      "mean_token_accuracy": 0.12147112190723419,
+      "num_tokens": 3166821.0,
+      "step": 1735
+    },
+    {
+      "entropy": 5.960144329071045,
+      "epoch": 1.4415907207953604,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004950610390120731,
+      "loss": 5.9848,
+      "mean_token_accuracy": 0.135729306191206,
+      "num_tokens": 3174962.0,
+      "step": 1740
+    },
+    {
+      "entropy": 6.087535095214844,
+      "epoch": 1.4457332228666115,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000494994229648085,
+      "loss": 5.8903,
+      "mean_token_accuracy": 0.13537728488445283,
+      "num_tokens": 3184027.0,
+      "step": 1745
+    },
+    {
+      "entropy": 5.957475805282593,
+      "epoch": 1.4498757249378624,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004949269765316948,
+      "loss": 6.0321,
+      "mean_token_accuracy": 0.13071285635232927,
+      "num_tokens": 3193186.0,
+      "step": 1750
+    },
+    {
+      "entropy": 6.171153354644775,
+      "epoch": 1.4540182270091135,
+      "grad_norm": 2.140625,
+      "learning_rate": 0.0004948592797985599,
+      "loss": 6.0525,
+      "mean_token_accuracy": 0.13555259853601456,
+      "num_tokens": 3202676.0,
+      "step": 1755
+    },
+    {
+      "entropy": 6.123908805847168,
+      "epoch": 1.4581607290803644,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947911395852317,
+      "loss": 6.1524,
+      "mean_token_accuracy": 0.1352410912513733,
+      "num_tokens": 3211950.0,
+      "step": 1760
+    },
+    {
+      "entropy": 6.120599699020386,
+      "epoch": 1.4623032311516155,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947225560291565,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12961760386824608,
+      "num_tokens": 3221135.0,
+      "step": 1765
+    },
+    {
+      "entropy": 5.962483358383179,
+      "epoch": 1.4664457332228666,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004946535292686746,
+      "loss": 5.8975,
+      "mean_token_accuracy": 0.13825839310884475,
+      "num_tokens": 3230174.0,
+      "step": 1770
+    },
+    {
+      "entropy": 5.979943370819091,
+      "epoch": 1.4705882352941178,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004945840594430209,
+      "loss": 5.8871,
+      "mean_token_accuracy": 0.1381668671965599,
+      "num_tokens": 3238898.0,
+      "step": 1775
+    },
+    {
+      "entropy": 5.973515844345092,
+      "epoch": 1.4747307373653686,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004945141466923235,
+      "loss": 5.9292,
+      "mean_token_accuracy": 0.14479121565818787,
+      "num_tokens": 3247550.0,
+      "step": 1780
+    },
+    {
+      "entropy": 6.113377714157105,
+      "epoch": 1.4788732394366197,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004944437911576041,
+      "loss": 6.0779,
+      "mean_token_accuracy": 0.12900342419743538,
+      "num_tokens": 3256810.0,
+      "step": 1785
+    },
+    {
+      "entropy": 5.9020613670349125,
+      "epoch": 1.4830157415078706,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004943729929807772,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.139550269395113,
+      "num_tokens": 3265886.0,
+      "step": 1790
+    },
+    {
+      "entropy": 6.06021089553833,
+      "epoch": 1.4871582435791217,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004943017523046507,
+      "loss": 5.9273,
+      "mean_token_accuracy": 0.137468421459198,
+      "num_tokens": 3274522.0,
+      "step": 1795
+    },
+    {
+      "entropy": 6.027210426330567,
+      "epoch": 1.4913007456503728,
+      "grad_norm": 1.25,
+      "learning_rate": 0.000494230069272925,
+      "loss": 6.0486,
+      "mean_token_accuracy": 0.13558472618460654,
+      "num_tokens": 3283388.0,
+      "step": 1800
+    },
+    {
+      "entropy": 5.989331531524658,
+      "epoch": 1.495443247721624,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004941579440301923,
+      "loss": 5.9224,
+      "mean_token_accuracy": 0.1305856943130493,
+      "num_tokens": 3291887.0,
+      "step": 1805
+    },
+    {
+      "entropy": 5.96136965751648,
+      "epoch": 1.4995857497928748,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940853767219372,
+      "loss": 5.9685,
+      "mean_token_accuracy": 0.13564062863588333,
+      "num_tokens": 3300674.0,
+      "step": 1810
+    },
+    {
+      "entropy": 5.9364429950714115,
+      "epoch": 1.503728251864126,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940123674945359,
+      "loss": 5.8311,
+      "mean_token_accuracy": 0.13808463513851166,
+      "num_tokens": 3309745.0,
+      "step": 1815
+    },
+    {
+      "entropy": 6.076629638671875,
+      "epoch": 1.5078707539353768,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004939389164952561,
+      "loss": 5.9722,
+      "mean_token_accuracy": 0.1378110609948635,
+      "num_tokens": 3318888.0,
+      "step": 1820
+    },
+    {
+      "entropy": 5.8970863819122314,
+      "epoch": 1.512013256006628,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004938650238722564,
+      "loss": 5.9296,
+      "mean_token_accuracy": 0.13823849260807036,
+      "num_tokens": 3328274.0,
+      "step": 1825
+    },
+    {
+      "entropy": 6.003948831558228,
+      "epoch": 1.516155758077879,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004937906897745861,
+      "loss": 5.9387,
+      "mean_token_accuracy": 0.1468382939696312,
+      "num_tokens": 3337579.0,
+      "step": 1830
+    },
+    {
+      "entropy": 6.045965003967285,
+      "epoch": 1.5202982601491302,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004937159143521856,
+      "loss": 5.9081,
+      "mean_token_accuracy": 0.14555162489414214,
+      "num_tokens": 3346262.0,
+      "step": 1835
+    },
+    {
+      "entropy": 5.972390079498291,
+      "epoch": 1.5244407622203813,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004936406977558847,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.13030771315097808,
+      "num_tokens": 3354833.0,
+      "step": 1840
+    },
+    {
+      "entropy": 6.051387977600098,
+      "epoch": 1.5285832642916322,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004935650401374039,
+      "loss": 6.0906,
+      "mean_token_accuracy": 0.14119647368788718,
+      "num_tokens": 3364314.0,
+      "step": 1845
+    },
+    {
+      "entropy": 6.046140813827515,
+      "epoch": 1.532725766362883,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004934889416493524,
+      "loss": 5.9157,
+      "mean_token_accuracy": 0.13524662256240844,
+      "num_tokens": 3373648.0,
+      "step": 1850
+    },
+    {
+      "entropy": 5.863892507553101,
+      "epoch": 1.5368682684341342,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004934124024452295,
+      "loss": 5.7869,
+      "mean_token_accuracy": 0.1471114367246628,
+      "num_tokens": 3382919.0,
+      "step": 1855
+    },
+    {
+      "entropy": 5.888700532913208,
+      "epoch": 1.5410107705053853,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004933354226794232,
+      "loss": 5.9383,
+      "mean_token_accuracy": 0.1432707317173481,
+      "num_tokens": 3391814.0,
+      "step": 1860
+    },
+    {
+      "entropy": 6.080925798416137,
+      "epoch": 1.5451532725766364,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004932580025072098,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.13580586463212968,
+      "num_tokens": 3400392.0,
+      "step": 1865
+    },
+    {
+      "entropy": 5.996384525299073,
+      "epoch": 1.5492957746478875,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004931801420847545,
+      "loss": 6.036,
+      "mean_token_accuracy": 0.13089759424328803,
+      "num_tokens": 3410430.0,
+      "step": 1870
+    },
+    {
+      "entropy": 5.932257795333863,
+      "epoch": 1.5534382767191384,
+      "grad_norm": 0.9609375,
+      "learning_rate": 0.0004931018415691102,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.13694921880960464,
+      "num_tokens": 3420654.0,
+      "step": 1875
+    },
+    {
+      "entropy": 5.951343011856079,
+      "epoch": 1.5575807787903893,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004930231011182176,
+      "loss": 5.9986,
+      "mean_token_accuracy": 0.13937177062034606,
+      "num_tokens": 3430514.0,
+      "step": 1880
+    },
+    {
+      "entropy": 6.071512508392334,
+      "epoch": 1.5617232808616404,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004929439208909048,
+      "loss": 5.9331,
+      "mean_token_accuracy": 0.1375361390411854,
+      "num_tokens": 3439551.0,
+      "step": 1885
+    },
+    {
+      "entropy": 5.902947330474854,
+      "epoch": 1.5658657829328915,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004928643010468869,
+      "loss": 5.8911,
+      "mean_token_accuracy": 0.13622887432575226,
+      "num_tokens": 3448160.0,
+      "step": 1890
+    },
+    {
+      "entropy": 5.993059539794922,
+      "epoch": 1.5700082850041426,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004927842417467659,
+      "loss": 5.9517,
+      "mean_token_accuracy": 0.14548188596963882,
+      "num_tokens": 3457296.0,
+      "step": 1895
+    },
+    {
+      "entropy": 6.027637386322022,
+      "epoch": 1.5741507870753937,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004927037431520302,
+      "loss": 5.9073,
+      "mean_token_accuracy": 0.14102519080042838,
+      "num_tokens": 3466108.0,
+      "step": 1900
+    },
+    {
+      "entropy": 5.975209665298462,
+      "epoch": 1.5782932891466446,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004926228054250541,
+      "loss": 5.9941,
+      "mean_token_accuracy": 0.14009249955415726,
+      "num_tokens": 3475336.0,
+      "step": 1905
+    },
+    {
+      "entropy": 6.073916673660278,
+      "epoch": 1.5824357912178955,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004925414287290979,
+      "loss": 5.9668,
+      "mean_token_accuracy": 0.13723743334412575,
+      "num_tokens": 3483963.0,
+      "step": 1910
+    },
+    {
+      "entropy": 5.848618030548096,
+      "epoch": 1.5865782932891466,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004924596132283075,
+      "loss": 5.8765,
+      "mean_token_accuracy": 0.14485997408628465,
+      "num_tokens": 3492947.0,
+      "step": 1915
+    },
+    {
+      "entropy": 5.966853284835816,
+      "epoch": 1.5907207953603977,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004923773590877135,
+      "loss": 5.9651,
+      "mean_token_accuracy": 0.13334692791104316,
+      "num_tokens": 3501877.0,
+      "step": 1920
+    },
+    {
+      "entropy": 6.042904996871949,
+      "epoch": 1.5948632974316488,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004922946664732314,
+      "loss": 6.0304,
+      "mean_token_accuracy": 0.13204361274838447,
+      "num_tokens": 3510610.0,
+      "step": 1925
+    },
+    {
+      "entropy": 6.0583656311035154,
+      "epoch": 1.5990057995029,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004922115355516615,
+      "loss": 5.9841,
+      "mean_token_accuracy": 0.13304307833313941,
+      "num_tokens": 3519829.0,
+      "step": 1930
+    },
+    {
+      "entropy": 6.015839862823486,
+      "epoch": 1.6031483015741508,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004921279664906877,
+      "loss": 5.9661,
+      "mean_token_accuracy": 0.13071200698614122,
+      "num_tokens": 3529408.0,
+      "step": 1935
+    },
+    {
+      "entropy": 5.924501991271972,
+      "epoch": 1.6072908036454017,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004920439594588781,
+      "loss": 5.8955,
+      "mean_token_accuracy": 0.14675913602113724,
+      "num_tokens": 3538068.0,
+      "step": 1940
+    },
+    {
+      "entropy": 6.051935148239136,
+      "epoch": 1.6114333057166528,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000491959514625684,
+      "loss": 6.0177,
+      "mean_token_accuracy": 0.13845598921179772,
+      "num_tokens": 3547302.0,
+      "step": 1945
+    },
+    {
+      "entropy": 5.956210565567017,
+      "epoch": 1.6155758077879039,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00049187463216144,
+      "loss": 5.9024,
+      "mean_token_accuracy": 0.145584287494421,
+      "num_tokens": 3556087.0,
+      "step": 1950
+    },
+    {
+      "entropy": 6.046857452392578,
+      "epoch": 1.619718309859155,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.000491789312237363,
+      "loss": 5.9857,
+      "mean_token_accuracy": 0.13579782098531723,
+      "num_tokens": 3566235.0,
+      "step": 1955
+    },
+    {
+      "entropy": 5.983897924423218,
+      "epoch": 1.623860811930406,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004917035550255528,
+      "loss": 5.899,
+      "mean_token_accuracy": 0.14092317298054696,
+      "num_tokens": 3574762.0,
+      "step": 1960
+    },
+    {
+      "entropy": 5.904513597488403,
+      "epoch": 1.628003314001657,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000491617360698991,
+      "loss": 5.8837,
+      "mean_token_accuracy": 0.139695380628109,
+      "num_tokens": 3583359.0,
+      "step": 1965
+    },
+    {
+      "entropy": 5.920687866210938,
+      "epoch": 1.6321458160729079,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004915307294315412,
+      "loss": 5.8505,
+      "mean_token_accuracy": 0.14011457338929176,
+      "num_tokens": 3591436.0,
+      "step": 1970
+    },
+    {
+      "entropy": 5.926318550109864,
+      "epoch": 1.636288318144159,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.000491443661397948,
+      "loss": 5.9355,
+      "mean_token_accuracy": 0.13468224480748175,
+      "num_tokens": 3601054.0,
+      "step": 1975
+    },
+    {
+      "entropy": 5.974443817138672,
+      "epoch": 1.64043082021541,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004913561567738368,
+      "loss": 5.9014,
+      "mean_token_accuracy": 0.1383673779666424,
+      "num_tokens": 3610641.0,
+      "step": 1980
+    },
+    {
+      "entropy": 5.912512636184692,
+      "epoch": 1.6445733222866612,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004912682157357146,
+      "loss": 5.8447,
+      "mean_token_accuracy": 0.13975749984383584,
+      "num_tokens": 3619351.0,
+      "step": 1985
+    },
+    {
+      "entropy": 5.853101539611816,
+      "epoch": 1.6487158243579123,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004911798384609675,
+      "loss": 5.8306,
+      "mean_token_accuracy": 0.1472959376871586,
+      "num_tokens": 3627341.0,
+      "step": 1990
+    },
+    {
+      "entropy": 5.942045879364014,
+      "epoch": 1.6528583264291632,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004910910251278626,
+      "loss": 5.8918,
+      "mean_token_accuracy": 0.14801610112190247,
+      "num_tokens": 3637132.0,
+      "step": 1995
+    },
+    {
+      "entropy": 5.919465351104736,
+      "epoch": 1.6570008285004143,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004910017759155458,
+      "loss": 5.9479,
+      "mean_token_accuracy": 0.1400071859359741,
+      "num_tokens": 3646196.0,
+      "step": 2000
+    },
+    {
+      "epoch": 1.6570008285004143,
+      "eval_entropy": 5.874394122979789,
+      "eval_loss": 6.1148576736450195,
+      "eval_mean_token_accuracy": 0.1363023624046525,
+      "eval_num_tokens": 3646196.0,
+      "eval_runtime": 2.7574,
+      "eval_samples_per_second": 1358.871,
+      "eval_steps_per_second": 170.085,
+      "step": 2000
+    },
+    {
+      "entropy": 5.967284250259399,
+      "epoch": 1.6611433305716652,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004909120910040427,
+      "loss": 5.8839,
+      "mean_token_accuracy": 0.1461731344461441,
+      "num_tokens": 3654658.0,
+      "step": 2005
+    },
+    {
+      "entropy": 6.045904684066772,
+      "epoch": 1.6652858326429163,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004908219705742574,
+      "loss": 6.1605,
+      "mean_token_accuracy": 0.13489469960331918,
+      "num_tokens": 3664509.0,
+      "step": 2010
+    },
+    {
+      "entropy": 6.002130031585693,
+      "epoch": 1.6694283347141674,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004907314148079727,
+      "loss": 5.8567,
+      "mean_token_accuracy": 0.1425239197909832,
+      "num_tokens": 3672983.0,
+      "step": 2015
+    },
+    {
+      "entropy": 5.708412790298462,
+      "epoch": 1.6735708367854185,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004906404238878496,
+      "loss": 5.7221,
+      "mean_token_accuracy": 0.14639501571655272,
+      "num_tokens": 3681196.0,
+      "step": 2020
+    },
+    {
+      "entropy": 5.97982873916626,
+      "epoch": 1.6777133388566694,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004905489979974265,
+      "loss": 5.9098,
+      "mean_token_accuracy": 0.14081615954637527,
+      "num_tokens": 3690077.0,
+      "step": 2025
+    },
+    {
+      "entropy": 5.942774772644043,
+      "epoch": 1.6818558409279205,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004904571373211197,
+      "loss": 5.9906,
+      "mean_token_accuracy": 0.13563016131520272,
+      "num_tokens": 3700121.0,
+      "step": 2030
+    },
+    {
+      "entropy": 5.897730588912964,
+      "epoch": 1.6859983429991714,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000490364842044222,
+      "loss": 5.8074,
+      "mean_token_accuracy": 0.14530285224318504,
+      "num_tokens": 3709618.0,
+      "step": 2035
+    },
+    {
+      "entropy": 5.954602289199829,
+      "epoch": 1.6901408450704225,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004902721123529031,
+      "loss": 5.9869,
+      "mean_token_accuracy": 0.12953415215015412,
+      "num_tokens": 3719570.0,
+      "step": 2040
+    },
+    {
+      "entropy": 6.074023342132568,
+      "epoch": 1.6942833471416736,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000490178948434209,
+      "loss": 5.9267,
+      "mean_token_accuracy": 0.14249598532915114,
+      "num_tokens": 3729354.0,
+      "step": 2045
+    },
+    {
+      "entropy": 5.833365964889526,
+      "epoch": 1.6984258492129247,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004900853504760614,
+      "loss": 5.8409,
+      "mean_token_accuracy": 0.14450331926345825,
+      "num_tokens": 3738453.0,
+      "step": 2050
+    },
+    {
+      "entropy": 5.888468265533447,
+      "epoch": 1.7025683512841756,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004899913186672577,
+      "loss": 5.8165,
+      "mean_token_accuracy": 0.14293194860219954,
+      "num_tokens": 3747815.0,
+      "step": 2055
+    },
+    {
+      "entropy": 5.914711236953735,
+      "epoch": 1.7067108533554267,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004898968531974702,
+      "loss": 5.9249,
+      "mean_token_accuracy": 0.14642315953969956,
+      "num_tokens": 3757298.0,
+      "step": 2060
+    },
+    {
+      "entropy": 5.978992033004761,
+      "epoch": 1.7108533554266776,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004898019542572462,
+      "loss": 5.9124,
+      "mean_token_accuracy": 0.14719650894403458,
+      "num_tokens": 3765939.0,
+      "step": 2065
+    },
+    {
+      "entropy": 6.005469894409179,
+      "epoch": 1.7149958574979287,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004897066220380073,
+      "loss": 5.933,
+      "mean_token_accuracy": 0.13779435828328132,
+      "num_tokens": 3775160.0,
+      "step": 2070
+    },
+    {
+      "entropy": 5.921374797821045,
+      "epoch": 1.7191383595691798,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004896108567320489,
+      "loss": 5.831,
+      "mean_token_accuracy": 0.14186858981847764,
+      "num_tokens": 3785181.0,
+      "step": 2075
+    },
+    {
+      "entropy": 5.972924375534058,
+      "epoch": 1.723280861640431,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048951465853254,
+      "loss": 5.9444,
+      "mean_token_accuracy": 0.14323145076632499,
+      "num_tokens": 3794531.0,
+      "step": 2080
+    },
+    {
+      "entropy": 5.953138160705566,
+      "epoch": 1.7274233637116818,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004894180276335231,
+      "loss": 5.934,
+      "mean_token_accuracy": 0.1396125227212906,
+      "num_tokens": 3804602.0,
+      "step": 2085
+    },
+    {
+      "entropy": 5.9721667766571045,
+      "epoch": 1.731565865782933,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004893209642299132,
+      "loss": 5.97,
+      "mean_token_accuracy": 0.1395590640604496,
+      "num_tokens": 3813394.0,
+      "step": 2090
+    },
+    {
+      "entropy": 5.97849326133728,
+      "epoch": 1.7357083678541838,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004892234685174976,
+      "loss": 5.962,
+      "mean_token_accuracy": 0.13808128908276557,
+      "num_tokens": 3821604.0,
+      "step": 2095
+    },
+    {
+      "entropy": 5.967495775222778,
+      "epoch": 1.739850869925435,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004891255406929359,
+      "loss": 5.9564,
+      "mean_token_accuracy": 0.13652343899011612,
+      "num_tokens": 3831977.0,
+      "step": 2100
+    },
+    {
+      "entropy": 5.98737063407898,
+      "epoch": 1.743993371996686,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004890271809537595,
+      "loss": 5.9017,
+      "mean_token_accuracy": 0.1393343411386013,
+      "num_tokens": 3840684.0,
+      "step": 2105
+    },
+    {
+      "entropy": 5.870862340927124,
+      "epoch": 1.7481358740679371,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004889283894983704,
+      "loss": 5.8147,
+      "mean_token_accuracy": 0.1389534741640091,
+      "num_tokens": 3851147.0,
+      "step": 2110
+    },
+    {
+      "entropy": 6.002704238891601,
+      "epoch": 1.752278376139188,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000488829166526042,
+      "loss": 5.9838,
+      "mean_token_accuracy": 0.13991605415940284,
+      "num_tokens": 3859881.0,
+      "step": 2115
+    },
+    {
+      "entropy": 5.948231506347656,
+      "epoch": 1.7564208782104391,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004887295122369176,
+      "loss": 6.0107,
+      "mean_token_accuracy": 0.13371825441718102,
+      "num_tokens": 3870151.0,
+      "step": 2120
+    },
+    {
+      "entropy": 5.99525203704834,
+      "epoch": 1.76056338028169,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.000488629426832011,
+      "loss": 5.9313,
+      "mean_token_accuracy": 0.13850879445672035,
+      "num_tokens": 3878398.0,
+      "step": 2125
+    },
+    {
+      "entropy": 5.924004030227661,
+      "epoch": 1.7647058823529411,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004885289105132054,
+      "loss": 5.8893,
+      "mean_token_accuracy": 0.14114601090550422,
+      "num_tokens": 3888007.0,
+      "step": 2130
+    },
+    {
+      "entropy": 5.930246257781983,
+      "epoch": 1.7688483844241922,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004884279634832532,
+      "loss": 5.8728,
+      "mean_token_accuracy": 0.14278061985969542,
+      "num_tokens": 3896945.0,
+      "step": 2135
+    },
+    {
+      "entropy": 5.940092372894287,
+      "epoch": 1.7729908864954433,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004883265859457754,
+      "loss": 5.8905,
+      "mean_token_accuracy": 0.1457919418811798,
+      "num_tokens": 3906049.0,
+      "step": 2140
+    },
+    {
+      "entropy": 5.866062164306641,
+      "epoch": 1.7771333885666944,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048822477810526186,
+      "loss": 5.8422,
+      "mean_token_accuracy": 0.1388966679573059,
+      "num_tokens": 3915050.0,
+      "step": 2145
+    },
+    {
+      "entropy": 5.966696119308471,
+      "epoch": 1.7812758906379453,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00048812254016706994,
+      "loss": 5.9205,
+      "mean_token_accuracy": 0.14728582575917243,
+      "num_tokens": 3924031.0,
+      "step": 2150
+    },
+    {
+      "entropy": 5.915832757949829,
+      "epoch": 1.7854183927091962,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004880198723374247,
+      "loss": 5.9776,
+      "mean_token_accuracy": 0.14149753525853156,
+      "num_tokens": 3933756.0,
+      "step": 2155
+    },
+    {
+      "entropy": 5.959774684906006,
+      "epoch": 1.7895608947804473,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048791677482341845,
+      "loss": 5.9592,
+      "mean_token_accuracy": 0.13750381171703338,
+      "num_tokens": 3943129.0,
+      "step": 2160
+    },
+    {
+      "entropy": 5.881538438796997,
+      "epoch": 1.7937033968516984,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048781324783301016,
+      "loss": 5.7912,
+      "mean_token_accuracy": 0.14508036673069,
+      "num_tokens": 3951494.0,
+      "step": 2165
+    },
+    {
+      "entropy": 5.946735525131226,
+      "epoch": 1.7978458989229495,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048770929157502505,
+      "loss": 5.9565,
+      "mean_token_accuracy": 0.143115097284317,
+      "num_tokens": 3960588.0,
+      "step": 2170
+    },
+    {
+      "entropy": 5.9805809497833256,
+      "epoch": 1.8019884009942007,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004876049062591543,
+      "loss": 5.9226,
+      "mean_token_accuracy": 0.13506680428981782,
+      "num_tokens": 3970135.0,
+      "step": 2175
+    },
+    {
+      "entropy": 5.950060653686523,
+      "epoch": 1.8061309030654515,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048750009209595443,
+      "loss": 5.9042,
+      "mean_token_accuracy": 0.13944360390305519,
+      "num_tokens": 3979569.0,
+      "step": 2180
+    },
+    {
+      "entropy": 5.88271656036377,
+      "epoch": 1.8102734051367024,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048739484929684714,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.144245932251215,
+      "num_tokens": 3987885.0,
+      "step": 2185
+    },
+    {
+      "entropy": 5.933677864074707,
+      "epoch": 1.8144159072079535,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048728917807411856,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.13125594183802605,
+      "num_tokens": 3997726.0,
+      "step": 2190
+    },
+    {
+      "entropy": 6.008653068542481,
+      "epoch": 1.8185584092792046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004871830786409191,
+      "loss": 5.8436,
+      "mean_token_accuracy": 0.14898036047816277,
+      "num_tokens": 4006437.0,
+      "step": 2195
+    },
+    {
+      "entropy": 5.856683444976807,
+      "epoch": 1.8227009113504558,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00048707655121126296,
+      "loss": 5.8124,
+      "mean_token_accuracy": 0.14927435666322708,
+      "num_tokens": 4015326.0,
+      "step": 2200
+    },
+    {
+      "entropy": 5.924995994567871,
+      "epoch": 1.8268434134217069,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048696959600002767,
+      "loss": 5.8722,
+      "mean_token_accuracy": 0.14032577201724053,
+      "num_tokens": 4024294.0,
+      "step": 2205
+    },
+    {
+      "entropy": 5.881852293014527,
+      "epoch": 1.8309859154929577,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048686221322295347,
+      "loss": 5.9028,
+      "mean_token_accuracy": 0.14340249821543694,
+      "num_tokens": 4033341.0,
+      "step": 2210
+    },
+    {
+      "entropy": 5.951443433761597,
+      "epoch": 1.8351284175642086,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048675440309664314,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.1474481076002121,
+      "num_tokens": 4042446.0,
+      "step": 2215
+    },
+    {
+      "entropy": 5.832607173919678,
+      "epoch": 1.8392709196354597,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00048664616583856166,
+      "loss": 5.8924,
+      "mean_token_accuracy": 0.13868724405765534,
+      "num_tokens": 4051849.0,
+      "step": 2220
+    },
+    {
+      "entropy": 6.026660823822022,
+      "epoch": 1.8434134217067109,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00048653750166703516,
+      "loss": 5.9855,
+      "mean_token_accuracy": 0.1381051518023014,
+      "num_tokens": 4061075.0,
+      "step": 2225
+    },
+    {
+      "entropy": 5.976817560195923,
+      "epoch": 1.847555923777962,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004864284108012513,
+      "loss": 5.9524,
+      "mean_token_accuracy": 0.13498588278889656,
+      "num_tokens": 4071022.0,
+      "step": 2230
+    },
+    {
+      "entropy": 5.884273719787598,
+      "epoch": 1.851698425849213,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004863188934612583,
+      "loss": 5.854,
+      "mean_token_accuracy": 0.1435965158045292,
+      "num_tokens": 4080728.0,
+      "step": 2235
+    },
+    {
+      "entropy": 5.8848789691925045,
+      "epoch": 1.855840927920464,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004862089498679645,
+      "loss": 5.8121,
+      "mean_token_accuracy": 0.15146355628967284,
+      "num_tokens": 4088712.0,
+      "step": 2240
+    },
+    {
+      "entropy": 5.904728364944458,
+      "epoch": 1.8599834299917148,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004860985802431383,
+      "loss": 5.8445,
+      "mean_token_accuracy": 0.14107747822999955,
+      "num_tokens": 4097488.0,
+      "step": 2245
+    },
+    {
+      "entropy": 5.815548610687256,
+      "epoch": 1.864125932062966,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004859877848094071,
+      "loss": 5.8328,
+      "mean_token_accuracy": 0.14647450745105745,
+      "num_tokens": 4106485.0,
+      "step": 2250
+    },
+    {
+      "entropy": 5.969652986526489,
+      "epoch": 1.868268434134217,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004858765637902575,
+      "loss": 5.8016,
+      "mean_token_accuracy": 0.14588006138801574,
+      "num_tokens": 4115806.0,
+      "step": 2255
+    },
+    {
+      "entropy": 5.982199335098267,
+      "epoch": 1.8724109362054682,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004857649174100344,
+      "loss": 5.9353,
+      "mean_token_accuracy": 0.14478921219706536,
+      "num_tokens": 4124636.0,
+      "step": 2260
+    },
+    {
+      "entropy": 5.869907474517822,
+      "epoch": 1.8765534382767193,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.0004856528458939409,
+      "loss": 5.8948,
+      "mean_token_accuracy": 0.13403457626700402,
+      "num_tokens": 4133876.0,
+      "step": 2265
+    },
+    {
+      "entropy": 5.836872100830078,
+      "epoch": 1.8806959403479702,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004855403494680373,
+      "loss": 5.8159,
+      "mean_token_accuracy": 0.14096100330352784,
+      "num_tokens": 4143555.0,
+      "step": 2270
+    },
+    {
+      "entropy": 5.871636962890625,
+      "epoch": 1.884838442419221,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00048542742835924133,
+      "loss": 5.7773,
+      "mean_token_accuracy": 0.14253296032547952,
+      "num_tokens": 4153007.0,
+      "step": 2275
+    },
+    {
+      "entropy": 5.766701364517212,
+      "epoch": 1.8889809444904722,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048531408279532705,
+      "loss": 5.8171,
+      "mean_token_accuracy": 0.14552054405212403,
+      "num_tokens": 4162107.0,
+      "step": 2280
+    },
+    {
+      "entropy": 5.884533357620239,
+      "epoch": 1.8931234465617233,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048520031300492507,
+      "loss": 5.8208,
+      "mean_token_accuracy": 0.14203491136431695,
+      "num_tokens": 4170920.0,
+      "step": 2285
+    },
+    {
+      "entropy": 5.9367118835449215,
+      "epoch": 1.8972659486329744,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048508611921752124,
+      "loss": 5.8366,
+      "mean_token_accuracy": 0.14547978863120078,
+      "num_tokens": 4180226.0,
+      "step": 2290
+    },
+    {
+      "entropy": 5.804201984405518,
+      "epoch": 1.9014084507042255,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00048497150166345703,
+      "loss": 5.7799,
+      "mean_token_accuracy": 0.14307984560728074,
+      "num_tokens": 4189283.0,
+      "step": 2295
+    },
+    {
+      "entropy": 5.833661937713623,
+      "epoch": 1.9055509527754764,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004848564605739287,
+      "loss": 5.8181,
+      "mean_token_accuracy": 0.14286661818623542,
+      "num_tokens": 4199017.0,
+      "step": 2300
+    },
+    {
+      "entropy": 5.985245418548584,
+      "epoch": 1.9096934548467275,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048474099618098644,
+      "loss": 5.9557,
+      "mean_token_accuracy": 0.13776218444108962,
+      "num_tokens": 4207756.0,
+      "step": 2305
+    },
+    {
+      "entropy": 5.926583385467529,
+      "epoch": 1.9138359569179784,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004846251087175348,
+      "loss": 5.8467,
+      "mean_token_accuracy": 0.14270823299884797,
+      "num_tokens": 4216721.0,
+      "step": 2310
+    },
+    {
+      "entropy": 5.816466999053955,
+      "epoch": 1.9179784589892295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004845087984173312,
+      "loss": 5.8214,
+      "mean_token_accuracy": 0.14952016696333886,
+      "num_tokens": 4225596.0,
+      "step": 2315
+    },
+    {
+      "entropy": 5.975145244598389,
+      "epoch": 1.9221209610604806,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048439206551498644,
+      "loss": 5.8881,
+      "mean_token_accuracy": 0.14604572355747222,
+      "num_tokens": 4234500.0,
+      "step": 2320
+    },
+    {
+      "entropy": 5.83410792350769,
+      "epoch": 1.9262634631317317,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004842749102459635,
+      "loss": 5.8331,
+      "mean_token_accuracy": 0.14477182626724244,
+      "num_tokens": 4243240.0,
+      "step": 2325
+    },
+    {
+      "entropy": 5.799895906448365,
+      "epoch": 1.9304059652029826,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048415733284657727,
+      "loss": 5.8249,
+      "mean_token_accuracy": 0.14724751114845275,
+      "num_tokens": 4251892.0,
+      "step": 2330
+    },
+    {
+      "entropy": 5.914888668060303,
+      "epoch": 1.9345484672742337,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004840393335539943,
+      "loss": 5.784,
+      "mean_token_accuracy": 0.14537777602672577,
+      "num_tokens": 4261447.0,
+      "step": 2335
+    },
+    {
+      "entropy": 5.93565788269043,
+      "epoch": 1.9386909693454846,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048392091260623195,
+      "loss": 5.9202,
+      "mean_token_accuracy": 0.1471864774823189,
+      "num_tokens": 4270120.0,
+      "step": 2340
+    },
+    {
+      "entropy": 5.905978488922119,
+      "epoch": 1.9428334714167357,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048380207024215836,
+      "loss": 5.7991,
+      "mean_token_accuracy": 0.1482786476612091,
+      "num_tokens": 4278300.0,
+      "step": 2345
+    },
+    {
+      "entropy": 5.905145263671875,
+      "epoch": 1.9469759734879868,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00048368280670149145,
+      "loss": 5.8487,
+      "mean_token_accuracy": 0.1461447760462761,
+      "num_tokens": 4286454.0,
+      "step": 2350
+    },
+    {
+      "entropy": 5.805000495910645,
+      "epoch": 1.951118475559238,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004835631222247989,
+      "loss": 5.7243,
+      "mean_token_accuracy": 0.15050614029169082,
+      "num_tokens": 4294752.0,
+      "step": 2355
+    },
+    {
+      "entropy": 5.907592630386352,
+      "epoch": 1.9552609776304888,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00048344301705349735,
+      "loss": 5.7974,
+      "mean_token_accuracy": 0.14830030649900436,
+      "num_tokens": 4303195.0,
+      "step": 2360
+    },
+    {
+      "entropy": 5.841587924957276,
+      "epoch": 1.95940347970174,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048332249142985195,
+      "loss": 5.9211,
+      "mean_token_accuracy": 0.1373597078025341,
+      "num_tokens": 4311961.0,
+      "step": 2365
+    },
+    {
+      "entropy": 5.900353670120239,
+      "epoch": 1.9635459817729908,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004832015455969763,
+      "loss": 5.7748,
+      "mean_token_accuracy": 0.13879901468753814,
+      "num_tokens": 4322267.0,
+      "step": 2370
+    },
+    {
+      "entropy": 5.774641275405884,
+      "epoch": 1.9676884838442419,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048308017979883114,
+      "loss": 5.8838,
+      "mean_token_accuracy": 0.1426581546664238,
+      "num_tokens": 4330584.0,
+      "step": 2375
+    },
+    {
+      "entropy": 5.840176010131836,
+      "epoch": 1.971830985915493,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048295839428022454,
+      "loss": 5.7215,
+      "mean_token_accuracy": 0.14949245899915695,
+      "num_tokens": 4339215.0,
+      "step": 2380
+    },
+    {
+      "entropy": 5.869688034057617,
+      "epoch": 1.975973487986744,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00048283618928681127,
+      "loss": 5.7418,
+      "mean_token_accuracy": 0.1501791574060917,
+      "num_tokens": 4347711.0,
+      "step": 2385
+    },
+    {
+      "entropy": 5.764533996582031,
+      "epoch": 1.980115990057995,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004827135650650923,
+      "loss": 5.7445,
+      "mean_token_accuracy": 0.14758301600813867,
+      "num_tokens": 4356982.0,
+      "step": 2390
+    },
+    {
+      "entropy": 5.770398235321045,
+      "epoch": 1.984258492129246,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004825905218624139,
+      "loss": 5.7696,
+      "mean_token_accuracy": 0.14773683473467827,
+      "num_tokens": 4365378.0,
+      "step": 2395
+    },
+    {
+      "entropy": 5.9908288478851315,
+      "epoch": 1.988400994200497,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048246705992696756,
+      "loss": 5.8174,
+      "mean_token_accuracy": 0.14142358154058457,
+      "num_tokens": 4374007.0,
+      "step": 2400
+    },
+    {
+      "entropy": 5.9741987705230715,
+      "epoch": 1.992543496271748,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048234317950778975,
+      "loss": 5.9346,
+      "mean_token_accuracy": 0.1409923940896988,
+      "num_tokens": 4383909.0,
+      "step": 2405
+    },
+    {
+      "entropy": 5.967488718032837,
+      "epoch": 1.9966859983429992,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004822188808547607,
+      "loss": 5.9967,
+      "mean_token_accuracy": 0.13560240790247918,
+      "num_tokens": 4393145.0,
+      "step": 2410
+    },
+    {
+      "entropy": 5.751282596588135,
+      "epoch": 2.0008285004142503,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004820941642186043,
+      "loss": 5.7146,
+      "mean_token_accuracy": 0.14043126851320267,
+      "num_tokens": 4402024.0,
+      "step": 2415
+    },
+    {
+      "entropy": 5.91456356048584,
+      "epoch": 2.0049710024855014,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004819690298508879,
+      "loss": 5.5395,
+      "mean_token_accuracy": 0.1603303700685501,
+      "num_tokens": 4411377.0,
+      "step": 2420
+    },
+    {
+      "entropy": 5.758482313156128,
+      "epoch": 2.009113504556752,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048184347800402083,
+      "loss": 5.4299,
+      "mean_token_accuracy": 0.16564757078886033,
+      "num_tokens": 4419781.0,
+      "step": 2425
+    },
+    {
+      "entropy": 5.727555131912231,
+      "epoch": 2.013256006628003,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004817175089312551,
+      "loss": 5.4154,
+      "mean_token_accuracy": 0.16400155574083328,
+      "num_tokens": 4428427.0,
+      "step": 2430
+    },
+    {
+      "entropy": 5.749885892868042,
+      "epoch": 2.0173985086992543,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048159112288668403,
+      "loss": 5.4586,
+      "mean_token_accuracy": 0.15933601409196854,
+      "num_tokens": 4438156.0,
+      "step": 2435
+    },
+    {
+      "entropy": 5.876013088226318,
+      "epoch": 2.0215410107705054,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00048146432012524215,
+      "loss": 5.4819,
+      "mean_token_accuracy": 0.16306492537260056,
+      "num_tokens": 4446342.0,
+      "step": 2440
+    },
+    {
+      "entropy": 5.738983201980591,
+      "epoch": 2.0256835128417565,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00048133710090270446,
+      "loss": 5.5229,
+      "mean_token_accuracy": 0.1542331963777542,
+      "num_tokens": 4455582.0,
+      "step": 2445
+    },
+    {
+      "entropy": 5.815389633178711,
+      "epoch": 2.0298260149130076,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048120946547568596,
+      "loss": 5.5375,
+      "mean_token_accuracy": 0.15604802072048188,
+      "num_tokens": 4464518.0,
+      "step": 2450
+    },
+    {
+      "entropy": 5.927202749252319,
+      "epoch": 2.0339685169842583,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00048108141410164133,
+      "loss": 5.6588,
+      "mean_token_accuracy": 0.14534952044486998,
+      "num_tokens": 4475031.0,
+      "step": 2455
+    },
+    {
+      "entropy": 5.8722837448120115,
+      "epoch": 2.0381110190555094,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004809529470388642,
+      "loss": 5.5396,
+      "mean_token_accuracy": 0.1577153742313385,
+      "num_tokens": 4484609.0,
+      "step": 2460
+    },
+    {
+      "entropy": 5.787671709060669,
+      "epoch": 2.0422535211267605,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004808240645464866,
+      "loss": 5.5698,
+      "mean_token_accuracy": 0.15477177649736404,
+      "num_tokens": 4494238.0,
+      "step": 2465
+    },
+    {
+      "entropy": 5.684235668182373,
+      "epoch": 2.0463960231980116,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004806947668844787,
+      "loss": 5.4573,
+      "mean_token_accuracy": 0.16172746568918228,
+      "num_tokens": 4503258.0,
+      "step": 2470
+    },
+    {
+      "entropy": 5.786364412307739,
+      "epoch": 2.0505385252692627,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048056505431364794,
+      "loss": 5.5091,
+      "mean_token_accuracy": 0.15975141078233718,
+      "num_tokens": 4512071.0,
+      "step": 2475
+    },
+    {
+      "entropy": 5.736668491363526,
+      "epoch": 2.054681027340514,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00048043492709563877,
+      "loss": 5.3461,
+      "mean_token_accuracy": 0.17059434503316878,
+      "num_tokens": 4520219.0,
+      "step": 2480
+    },
+    {
+      "entropy": 5.672813034057617,
+      "epoch": 2.0588235294117645,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048030438549293193,
+      "loss": 5.5568,
+      "mean_token_accuracy": 0.15284566581249237,
+      "num_tokens": 4529386.0,
+      "step": 2485
+    },
+    {
+      "entropy": 5.830966377258301,
+      "epoch": 2.0629660314830156,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00048017342976884424,
+      "loss": 5.5638,
+      "mean_token_accuracy": 0.15199215039610864,
+      "num_tokens": 4538860.0,
+      "step": 2490
+    },
+    {
+      "entropy": 5.761076402664185,
+      "epoch": 2.0671085335542667,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048004206018752773,
+      "loss": 5.5299,
+      "mean_token_accuracy": 0.15335657596588134,
+      "num_tokens": 4547842.0,
+      "step": 2495
+    },
+    {
+      "entropy": 5.733208799362183,
+      "epoch": 2.071251035625518,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047991027701396895,
+      "loss": 5.5026,
+      "mean_token_accuracy": 0.15411428660154342,
+      "num_tokens": 4556238.0,
+      "step": 2500
+    },
+    {
+      "epoch": 2.071251035625518,
+      "eval_entropy": 5.642364594473768,
+      "eval_loss": 6.032641410827637,
+      "eval_mean_token_accuracy": 0.1416530203399882,
+      "eval_num_tokens": 4556238.0,
+      "eval_runtime": 2.7817,
+      "eval_samples_per_second": 1347.034,
+      "eval_steps_per_second": 168.604,
+      "step": 2500
+    },
+    {
+      "entropy": 5.732073068618774,
+      "epoch": 2.075393537696769,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004797780805139892,
+      "loss": 5.5069,
+      "mean_token_accuracy": 0.1587075412273407,
+      "num_tokens": 4565684.0,
+      "step": 2505
+    },
+    {
+      "entropy": 5.722462224960327,
+      "epoch": 2.07953603976802,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004796454709542432,
+      "loss": 5.467,
+      "mean_token_accuracy": 0.1590041533112526,
+      "num_tokens": 4575001.0,
+      "step": 2510
+    },
+    {
+      "entropy": 5.797696113586426,
+      "epoch": 2.083678541839271,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004795124486022189,
+      "loss": 5.5732,
+      "mean_token_accuracy": 0.15362634360790253,
+      "num_tokens": 4584128.0,
+      "step": 2515
+    },
+    {
+      "entropy": 5.711380529403686,
+      "epoch": 2.087821043910522,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047937901372623694,
+      "loss": 5.4191,
+      "mean_token_accuracy": 0.16894411891698838,
+      "num_tokens": 4593011.0,
+      "step": 2520
+    },
+    {
+      "entropy": 5.688450145721435,
+      "epoch": 2.091963545981773,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00047924516659545005,
+      "loss": 5.4668,
+      "mean_token_accuracy": 0.16164053976535797,
+      "num_tokens": 4602676.0,
+      "step": 2525
+    },
+    {
+      "entropy": 5.79151463508606,
+      "epoch": 2.096106048053024,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004791109074798425,
+      "loss": 5.5522,
+      "mean_token_accuracy": 0.15433578938245773,
+      "num_tokens": 4611915.0,
+      "step": 2530
+    },
+    {
+      "entropy": 5.748647403717041,
+      "epoch": 2.100248550124275,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004789762366502296,
+      "loss": 5.5184,
+      "mean_token_accuracy": 0.15959300100803375,
+      "num_tokens": 4621396.0,
+      "step": 2535
+    },
+    {
+      "entropy": 5.7374598503112795,
+      "epoch": 2.1043910521955262,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004788411543782571,
+      "loss": 5.5201,
+      "mean_token_accuracy": 0.1591552659869194,
+      "num_tokens": 4630533.0,
+      "step": 2540
+    },
+    {
+      "entropy": 5.678498649597168,
+      "epoch": 2.108533554266777,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004787056609364008,
+      "loss": 5.4599,
+      "mean_token_accuracy": 0.1542729303240776,
+      "num_tokens": 4639023.0,
+      "step": 2545
+    },
+    {
+      "entropy": 5.711474943161011,
+      "epoch": 2.112676056338028,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004785697565979657,
+      "loss": 5.4732,
+      "mean_token_accuracy": 0.15900285094976424,
+      "num_tokens": 4647975.0,
+      "step": 2550
+    },
+    {
+      "entropy": 5.72883243560791,
+      "epoch": 2.116818558409279,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004784334416370857,
+      "loss": 5.498,
+      "mean_token_accuracy": 0.15594277828931807,
+      "num_tokens": 4657555.0,
+      "step": 2555
+    },
+    {
+      "entropy": 5.745093822479248,
+      "epoch": 2.1209610604805302,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004782967163287231,
+      "loss": 5.4193,
+      "mean_token_accuracy": 0.16100153774023057,
+      "num_tokens": 4667228.0,
+      "step": 2560
+    },
+    {
+      "entropy": 5.716836738586426,
+      "epoch": 2.1251035625517813,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047815958094866756,
+      "loss": 5.4957,
+      "mean_token_accuracy": 0.1513967014849186,
+      "num_tokens": 4676723.0,
+      "step": 2565
+    },
+    {
+      "entropy": 5.7276163578033445,
+      "epoch": 2.1292460646230325,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004780220357735363,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.15479894131422042,
+      "num_tokens": 4686241.0,
+      "step": 2570
+    },
+    {
+      "entropy": 5.764811038970947,
+      "epoch": 2.1333885666942836,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047788408108077294,
+      "loss": 5.5404,
+      "mean_token_accuracy": 0.1561874568462372,
+      "num_tokens": 4695195.0,
+      "step": 2575
+    },
+    {
+      "entropy": 5.739376497268677,
+      "epoch": 2.1375310687655342,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004777457171486471,
+      "loss": 5.5871,
+      "mean_token_accuracy": 0.15551834553480148,
+      "num_tokens": 4704716.0,
+      "step": 2580
+    },
+    {
+      "entropy": 5.769967555999756,
+      "epoch": 2.1416735708367853,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004776069442562541,
+      "loss": 5.5562,
+      "mean_token_accuracy": 0.15339450240135194,
+      "num_tokens": 4713720.0,
+      "step": 2585
+    },
+    {
+      "entropy": 5.733342504501342,
+      "epoch": 2.1458160729080364,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004774677626835138,
+      "loss": 5.5366,
+      "mean_token_accuracy": 0.15301723331212996,
+      "num_tokens": 4722428.0,
+      "step": 2590
+    },
+    {
+      "entropy": 5.787648677825928,
+      "epoch": 2.1499585749792876,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00047732817271117084,
+      "loss": 5.5365,
+      "mean_token_accuracy": 0.15334974452853203,
+      "num_tokens": 4732395.0,
+      "step": 2595
+    },
+    {
+      "entropy": 5.773520803451538,
+      "epoch": 2.1541010770505387,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004771881746207934,
+      "loss": 5.5206,
+      "mean_token_accuracy": 0.15674114525318145,
+      "num_tokens": 4741071.0,
+      "step": 2600
+    },
+    {
+      "entropy": 5.607013797760009,
+      "epoch": 2.1582435791217898,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047704776869477285,
+      "loss": 5.5153,
+      "mean_token_accuracy": 0.15076877027750016,
+      "num_tokens": 4749876.0,
+      "step": 2605
+    },
+    {
+      "entropy": 5.784313154220581,
+      "epoch": 2.1623860811930404,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00047690695521632344,
+      "loss": 5.4669,
+      "mean_token_accuracy": 0.16002854704856873,
+      "num_tokens": 4758721.0,
+      "step": 2610
+    },
+    {
+      "entropy": 5.6919313907623295,
+      "epoch": 2.1665285832642915,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047676573446948114,
+      "loss": 5.4832,
+      "mean_token_accuracy": 0.15925751626491547,
+      "num_tokens": 4767162.0,
+      "step": 2615
+    },
+    {
+      "entropy": 5.71550760269165,
+      "epoch": 2.1706710853355426,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047662410673910376,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.1629578560590744,
+      "num_tokens": 4776397.0,
+      "step": 2620
+    },
+    {
+      "entropy": 5.665811157226562,
+      "epoch": 2.1748135874067938,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047648207231087,
+      "loss": 5.4579,
+      "mean_token_accuracy": 0.15894875824451446,
+      "num_tokens": 4784822.0,
+      "step": 2625
+    },
+    {
+      "entropy": 5.71003270149231,
+      "epoch": 2.178956089478045,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004763396314712786,
+      "loss": 5.5297,
+      "mean_token_accuracy": 0.15831661075353623,
+      "num_tokens": 4794272.0,
+      "step": 2630
+    },
+    {
+      "entropy": 5.64026665687561,
+      "epoch": 2.183098591549296,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004761967845076484,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.15510014593601226,
+      "num_tokens": 4804314.0,
+      "step": 2635
+    },
+    {
+      "entropy": 5.6847330093383786,
+      "epoch": 2.1872410936205466,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004760535317081174,
+      "loss": 5.4694,
+      "mean_token_accuracy": 0.15845878273248673,
+      "num_tokens": 4812685.0,
+      "step": 2640
+    },
+    {
+      "entropy": 5.715235567092895,
+      "epoch": 2.1913835956917977,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047590987336164207,
+      "loss": 5.5532,
+      "mean_token_accuracy": 0.1562129870057106,
+      "num_tokens": 4821761.0,
+      "step": 2645
+    },
+    {
+      "entropy": 5.741413831710815,
+      "epoch": 2.195526097763049,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00047576580975799705,
+      "loss": 5.5307,
+      "mean_token_accuracy": 0.1623195379972458,
+      "num_tokens": 4830515.0,
+      "step": 2650
+    },
+    {
+      "entropy": 5.782008934020996,
+      "epoch": 2.1996685998343,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004756213411877743,
+      "loss": 5.5059,
+      "mean_token_accuracy": 0.14879967421293258,
+      "num_tokens": 4840741.0,
+      "step": 2655
+    },
+    {
+      "entropy": 5.612497425079345,
+      "epoch": 2.203811101905551,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047547646794238277,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.16198884546756745,
+      "num_tokens": 4849571.0,
+      "step": 2660
+    },
+    {
+      "entropy": 5.689143991470337,
+      "epoch": 2.207953603976802,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047533119031404757,
+      "loss": 5.4138,
+      "mean_token_accuracy": 0.1696420982480049,
+      "num_tokens": 4857194.0,
+      "step": 2665
+    },
+    {
+      "entropy": 5.632621717453003,
+      "epoch": 2.212096106048053,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00047518550859580966,
+      "loss": 5.5074,
+      "mean_token_accuracy": 0.1592964008450508,
+      "num_tokens": 4865894.0,
+      "step": 2670
+    },
+    {
+      "entropy": 5.74289755821228,
+      "epoch": 2.216238608119304,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004750394230815249,
+      "loss": 5.5268,
+      "mean_token_accuracy": 0.15829544067382811,
+      "num_tokens": 4875131.0,
+      "step": 2675
+    },
+    {
+      "entropy": 5.670539522171021,
+      "epoch": 2.220381110190555,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047489293406586375,
+      "loss": 5.3777,
+      "mean_token_accuracy": 0.1620385766029358,
+      "num_tokens": 4884098.0,
+      "step": 2680
+    },
+    {
+      "entropy": 5.657269620895386,
+      "epoch": 2.224523612261806,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004747460418443106,
+      "loss": 5.4373,
+      "mean_token_accuracy": 0.15941016003489494,
+      "num_tokens": 4892963.0,
+      "step": 2685
+    },
+    {
+      "entropy": 5.690485191345215,
+      "epoch": 2.2286661143330573,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047459874671316305,
+      "loss": 5.4903,
+      "mean_token_accuracy": 0.15749651044607163,
+      "num_tokens": 4902097.0,
+      "step": 2690
+    },
+    {
+      "entropy": 5.608357000350952,
+      "epoch": 2.2328086164043084,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00047445104896953153,
+      "loss": 5.4015,
+      "mean_token_accuracy": 0.16532779037952422,
+      "num_tokens": 4910469.0,
+      "step": 2695
+    },
+    {
+      "entropy": 5.82715744972229,
+      "epoch": 2.236951118475559,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047430294891133846,
+      "loss": 5.6892,
+      "mean_token_accuracy": 0.1501491665840149,
+      "num_tokens": 4921024.0,
+      "step": 2700
+    },
+    {
+      "entropy": 5.749764776229858,
+      "epoch": 2.24109362054681,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004741544468373179,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15474629402160645,
+      "num_tokens": 4930297.0,
+      "step": 2705
+    },
+    {
+      "entropy": 5.687776947021485,
+      "epoch": 2.2452361226180613,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00047400554304701474,
+      "loss": 5.4692,
+      "mean_token_accuracy": 0.16049361675977708,
+      "num_tokens": 4938971.0,
+      "step": 2710
+    },
+    {
+      "entropy": 5.571053695678711,
+      "epoch": 2.2493786246893124,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047385623784078427,
+      "loss": 5.4899,
+      "mean_token_accuracy": 0.15803302526474,
+      "num_tokens": 4948531.0,
+      "step": 2715
+    },
+    {
+      "entropy": 5.787879133224488,
+      "epoch": 2.2535211267605635,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004737065315197913,
+      "loss": 5.5664,
+      "mean_token_accuracy": 0.1587745025753975,
+      "num_tokens": 4957430.0,
+      "step": 2720
+    },
+    {
+      "entropy": 5.720958280563354,
+      "epoch": 2.2576636288318146,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047355642438600987,
+      "loss": 5.5478,
+      "mean_token_accuracy": 0.16044806241989135,
+      "num_tokens": 4966681.0,
+      "step": 2725
+    },
+    {
+      "entropy": 5.638753175735474,
+      "epoch": 2.2618061309030653,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004734059167422225,
+      "loss": 5.4123,
+      "mean_token_accuracy": 0.1639780133962631,
+      "num_tokens": 4975327.0,
+      "step": 2730
+    },
+    {
+      "entropy": 5.634887552261352,
+      "epoch": 2.2659486329743164,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047325500889201956,
+      "loss": 5.4725,
+      "mean_token_accuracy": 0.16207436099648476,
+      "num_tokens": 4983741.0,
+      "step": 2735
+    },
+    {
+      "entropy": 5.673438644409179,
+      "epoch": 2.2700911350455675,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004731037011397986,
+      "loss": 5.5662,
+      "mean_token_accuracy": 0.15884149968624114,
+      "num_tokens": 4993171.0,
+      "step": 2740
+    },
+    {
+      "entropy": 5.752307653427124,
+      "epoch": 2.2742336371168186,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047295199379076403,
+      "loss": 5.6,
+      "mean_token_accuracy": 0.15322241187095642,
+      "num_tokens": 5002810.0,
+      "step": 2745
+    },
+    {
+      "entropy": 5.7073346138000485,
+      "epoch": 2.2783761391880697,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000472799887150926,
+      "loss": 5.4893,
+      "mean_token_accuracy": 0.15741414427757264,
+      "num_tokens": 5011875.0,
+      "step": 2750
+    },
+    {
+      "entropy": 5.679959297180176,
+      "epoch": 2.282518641259321,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004726473815271003,
+      "loss": 5.5349,
+      "mean_token_accuracy": 0.15855301022529603,
+      "num_tokens": 5020780.0,
+      "step": 2755
+    },
+    {
+      "entropy": 5.669374132156372,
+      "epoch": 2.286661143330572,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047249447722690747,
+      "loss": 5.4331,
+      "mean_token_accuracy": 0.16046710908412934,
+      "num_tokens": 5029896.0,
+      "step": 2760
+    },
+    {
+      "entropy": 5.652454280853272,
+      "epoch": 2.2908036454018226,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047234117455877215,
+      "loss": 5.4932,
+      "mean_token_accuracy": 0.1545606277883053,
+      "num_tokens": 5038956.0,
+      "step": 2765
+    },
+    {
+      "entropy": 5.639697694778443,
+      "epoch": 2.2949461474730737,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004721874738319225,
+      "loss": 5.4594,
+      "mean_token_accuracy": 0.17258906960487366,
+      "num_tokens": 5047005.0,
+      "step": 2770
+    },
+    {
+      "entropy": 5.655842065811157,
+      "epoch": 2.299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004720333753563898,
+      "loss": 5.5008,
+      "mean_token_accuracy": 0.15116662830114364,
+      "num_tokens": 5056475.0,
+      "step": 2775
+    },
+    {
+      "entropy": 5.704644584655762,
+      "epoch": 2.303231151615576,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00047187887944300747,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16439782381057738,
+      "num_tokens": 5064978.0,
+      "step": 2780
+    },
+    {
+      "entropy": 5.726413679122925,
+      "epoch": 2.307373653686827,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004717239864034107,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.15506226867437362,
+      "num_tokens": 5074235.0,
+      "step": 2785
+    },
+    {
+      "entropy": 5.662968683242798,
+      "epoch": 2.3115161557580777,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047156869655003554,
+      "loss": 5.4481,
+      "mean_token_accuracy": 0.16141191571950914,
+      "num_tokens": 5082386.0,
+      "step": 2790
+    },
+    {
+      "entropy": 5.631324100494385,
+      "epoch": 2.315658657829329,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047141301019611875,
+      "loss": 5.4164,
+      "mean_token_accuracy": 0.16636510640382768,
+      "num_tokens": 5090634.0,
+      "step": 2795
+    },
+    {
+      "entropy": 5.818879795074463,
+      "epoch": 2.31980115990058,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004712569276556967,
+      "loss": 5.5906,
+      "mean_token_accuracy": 0.14937217235565187,
+      "num_tokens": 5099003.0,
+      "step": 2800
+    },
+    {
+      "entropy": 5.617757177352905,
+      "epoch": 2.323943661971831,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00047110044924360484,
+      "loss": 5.6681,
+      "mean_token_accuracy": 0.1565680392086506,
+      "num_tokens": 5108631.0,
+      "step": 2805
+    },
+    {
+      "entropy": 5.732515859603882,
+      "epoch": 2.328086164043082,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00047094357527547725,
+      "loss": 5.4545,
+      "mean_token_accuracy": 0.15828853249549865,
+      "num_tokens": 5117309.0,
+      "step": 2810
+    },
+    {
+      "entropy": 5.686485624313354,
+      "epoch": 2.332228666114333,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004707863060677459,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.1627561032772064,
+      "num_tokens": 5126305.0,
+      "step": 2815
+    },
+    {
+      "entropy": 5.821760654449463,
+      "epoch": 2.3363711681855843,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00047062864193764,
+      "loss": 5.6022,
+      "mean_token_accuracy": 0.15580221712589265,
+      "num_tokens": 5135338.0,
+      "step": 2820
+    },
+    {
+      "entropy": 5.676449155807495,
+      "epoch": 2.340513670256835,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047047058320318525,
+      "loss": 5.5298,
+      "mean_token_accuracy": 0.16162888556718827,
+      "num_tokens": 5144518.0,
+      "step": 2825
+    },
+    {
+      "entropy": 5.702890157699585,
+      "epoch": 2.344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004703121301832034,
+      "loss": 5.6262,
+      "mean_token_accuracy": 0.15101130157709122,
+      "num_tokens": 5154102.0,
+      "step": 2830
+    },
+    {
+      "entropy": 5.7891247272491455,
+      "epoch": 2.348798674399337,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047015328319731153,
+      "loss": 5.5642,
+      "mean_token_accuracy": 0.15612353384494781,
+      "num_tokens": 5163719.0,
+      "step": 2835
+    },
+    {
+      "entropy": 5.677855682373047,
+      "epoch": 2.3529411764705883,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004699940425659215,
+      "loss": 5.5247,
+      "mean_token_accuracy": 0.15519936084747316,
+      "num_tokens": 5173192.0,
+      "step": 2840
+    },
+    {
+      "entropy": 5.622324132919312,
+      "epoch": 2.3570836785418394,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00046983440861023877,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.1663823500275612,
+      "num_tokens": 5182438.0,
+      "step": 2845
+    },
+    {
+      "entropy": 5.699106454849243,
+      "epoch": 2.36122618061309,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046967438165226275,
+      "loss": 5.6015,
+      "mean_token_accuracy": 0.15352728664875032,
+      "num_tokens": 5191595.0,
+      "step": 2850
+    },
+    {
+      "entropy": 5.659265756607056,
+      "epoch": 2.365368682684341,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004695139620147851,
+      "loss": 5.4682,
+      "mean_token_accuracy": 0.1643056571483612,
+      "num_tokens": 5200174.0,
+      "step": 2855
+    },
+    {
+      "entropy": 5.713242053985596,
+      "epoch": 2.3695111847555923,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046935315002138994,
+      "loss": 5.5804,
+      "mean_token_accuracy": 0.15417435318231582,
+      "num_tokens": 5210454.0,
+      "step": 2860
+    },
+    {
+      "entropy": 5.727554702758789,
+      "epoch": 2.3736536868268434,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004691919459964525,
+      "loss": 5.5019,
+      "mean_token_accuracy": 0.16056040227413176,
+      "num_tokens": 5219243.0,
+      "step": 2865
+    },
+    {
+      "entropy": 5.5862212657928465,
+      "epoch": 2.3777961888980945,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046903035026513894,
+      "loss": 5.4319,
+      "mean_token_accuracy": 0.1613735228776932,
+      "num_tokens": 5228656.0,
+      "step": 2870
+    },
+    {
+      "entropy": 5.587289905548095,
+      "epoch": 2.3819386909693456,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004688683631534056,
+      "loss": 5.4859,
+      "mean_token_accuracy": 0.156366066634655,
+      "num_tokens": 5237807.0,
+      "step": 2875
+    },
+    {
+      "entropy": 5.775411653518677,
+      "epoch": 2.3860811930405967,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004687059849879981,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.1609719067811966,
+      "num_tokens": 5247432.0,
+      "step": 2880
+    },
+    {
+      "entropy": 5.597807741165161,
+      "epoch": 2.3902236951118474,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00046854321609645093,
+      "loss": 5.4145,
+      "mean_token_accuracy": 0.16111126840114592,
+      "num_tokens": 5256680.0,
+      "step": 2885
+    },
+    {
+      "entropy": 5.6380726337432865,
+      "epoch": 2.3943661971830985,
+      "grad_norm": 2.15625,
+      "learning_rate": 0.00046838005680708677,
+      "loss": 5.5296,
+      "mean_token_accuracy": 0.14821895360946655,
+      "num_tokens": 5266793.0,
+      "step": 2890
+    },
+    {
+      "entropy": 5.710390281677246,
+      "epoch": 2.3985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046821650744901573,
+      "loss": 5.4452,
+      "mean_token_accuracy": 0.15857197493314742,
+      "num_tokens": 5275028.0,
+      "step": 2895
+    },
+    {
+      "entropy": 5.598506593704224,
+      "epoch": 2.4026512013256007,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004680525683521347,
+      "loss": 5.5226,
+      "mean_token_accuracy": 0.1566852644085884,
+      "num_tokens": 5284162.0,
+      "step": 2900
+    },
+    {
+      "entropy": 5.757242631912232,
+      "epoch": 2.406793703396852,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004678882398471269,
+      "loss": 5.5911,
+      "mean_token_accuracy": 0.15474308133125306,
+      "num_tokens": 5293263.0,
+      "step": 2905
+    },
+    {
+      "entropy": 5.654598569869995,
+      "epoch": 2.4109362054681025,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046772352226546066,
+      "loss": 5.477,
+      "mean_token_accuracy": 0.1666618600487709,
+      "num_tokens": 5301373.0,
+      "step": 2910
+    },
+    {
+      "entropy": 5.643638467788696,
+      "epoch": 2.4150787075393536,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004675584159393895,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.15203802064061164,
+      "num_tokens": 5311009.0,
+      "step": 2915
+    },
+    {
+      "entropy": 5.699149656295776,
+      "epoch": 2.4192212096106047,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046739292120195083,
+      "loss": 5.5245,
+      "mean_token_accuracy": 0.16085631400346756,
+      "num_tokens": 5320341.0,
+      "step": 2920
+    },
+    {
+      "entropy": 5.642888498306275,
+      "epoch": 2.423363711681856,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004672270383869657,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1610630214214325,
+      "num_tokens": 5329250.0,
+      "step": 2925
+    },
+    {
+      "entropy": 5.62935357093811,
+      "epoch": 2.427506213753107,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004670607678290379,
+      "loss": 5.4471,
+      "mean_token_accuracy": 0.16571807861328125,
+      "num_tokens": 5336515.0,
+      "step": 2930
+    },
+    {
+      "entropy": 5.655415058135986,
+      "epoch": 2.431648715824358,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004668941098635532,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.1595415398478508,
+      "num_tokens": 5346043.0,
+      "step": 2935
+    },
+    {
+      "entropy": 5.642036104202271,
+      "epoch": 2.435791217895609,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00046672706482667897,
+      "loss": 5.4925,
+      "mean_token_accuracy": 0.15832271426916122,
+      "num_tokens": 5355124.0,
+      "step": 2940
+    },
+    {
+      "entropy": 5.647988367080688,
+      "epoch": 2.43993371996686,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004665596330553633,
+      "loss": 5.5051,
+      "mean_token_accuracy": 0.1597411409020424,
+      "num_tokens": 5364556.0,
+      "step": 2945
+    },
+    {
+      "entropy": 5.67459397315979,
+      "epoch": 2.444076222038111,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046639181488733445,
+      "loss": 5.5316,
+      "mean_token_accuracy": 0.15941161364316941,
+      "num_tokens": 5373778.0,
+      "step": 2950
+    },
+    {
+      "entropy": 5.725692987442017,
+      "epoch": 2.448218724109362,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004662236106610999,
+      "loss": 5.5123,
+      "mean_token_accuracy": 0.15816445648670197,
+      "num_tokens": 5382633.0,
+      "step": 2955
+    },
+    {
+      "entropy": 5.5606146335601805,
+      "epoch": 2.452361226180613,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00046605502071594604,
+      "loss": 5.4163,
+      "mean_token_accuracy": 0.16387673169374467,
+      "num_tokens": 5391442.0,
+      "step": 2960
+    },
+    {
+      "entropy": 5.569208765029908,
+      "epoch": 2.4565037282518642,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004658860453919371,
+      "loss": 5.4388,
+      "mean_token_accuracy": 0.1621423229575157,
+      "num_tokens": 5400504.0,
+      "step": 2965
+    },
+    {
+      "entropy": 5.587312078475952,
+      "epoch": 2.460646230323115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004657166850299149,
+      "loss": 5.4448,
+      "mean_token_accuracy": 0.16361159086227417,
+      "num_tokens": 5408939.0,
+      "step": 2970
+    },
+    {
+      "entropy": 5.629118537902832,
+      "epoch": 2.464788732394366,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004655469399714978,
+      "loss": 5.4722,
+      "mean_token_accuracy": 0.1575179159641266,
+      "num_tokens": 5418934.0,
+      "step": 2975
+    },
+    {
+      "entropy": 5.572103595733642,
+      "epoch": 2.468931234465617,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004653768105590799,
+      "loss": 5.4955,
+      "mean_token_accuracy": 0.16008511185646057,
+      "num_tokens": 5427894.0,
+      "step": 2980
+    },
+    {
+      "entropy": 5.683330011367798,
+      "epoch": 2.4730737365368682,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046520629713583115,
+      "loss": 5.5003,
+      "mean_token_accuracy": 0.1613202139735222,
+      "num_tokens": 5436830.0,
+      "step": 2985
+    },
+    {
+      "entropy": 5.597742080688477,
+      "epoch": 2.4772162386081193,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046503540004569555,
+      "loss": 5.4814,
+      "mean_token_accuracy": 0.16423845291137695,
+      "num_tokens": 5445504.0,
+      "step": 2990
+    },
+    {
+      "entropy": 5.679887342453003,
+      "epoch": 2.4813587406793705,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046486411963339125,
+      "loss": 5.5405,
+      "mean_token_accuracy": 0.15501321628689765,
+      "num_tokens": 5455378.0,
+      "step": 2995
+    },
+    {
+      "entropy": 5.712473011016845,
+      "epoch": 2.4855012427506216,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046469245624440955,
+      "loss": 5.6107,
+      "mean_token_accuracy": 0.1589423656463623,
+      "num_tokens": 5465334.0,
+      "step": 3000
+    },
+    {
+      "epoch": 2.4855012427506216,
+      "eval_entropy": 5.590163738234465,
+      "eval_loss": 5.965892314910889,
+      "eval_mean_token_accuracy": 0.14734836894947329,
+      "eval_num_tokens": 5465334.0,
+      "eval_runtime": 2.7526,
+      "eval_samples_per_second": 1361.234,
+      "eval_steps_per_second": 170.381,
+      "step": 3000
+    },
+    {
+      "entropy": 5.751126146316528,
+      "epoch": 2.4896437448218722,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046452041022501423,
+      "loss": 5.5858,
+      "mean_token_accuracy": 0.15555662512779236,
+      "num_tokens": 5475701.0,
+      "step": 3005
+    },
+    {
+      "entropy": 5.699931526184082,
+      "epoch": 2.4937862468931233,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004643479819222411,
+      "loss": 5.4828,
+      "mean_token_accuracy": 0.16229774355888366,
+      "num_tokens": 5485244.0,
+      "step": 3010
+    },
+    {
+      "entropy": 5.596950387954712,
+      "epoch": 2.4979287489643744,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046417517168389664,
+      "loss": 5.4434,
+      "mean_token_accuracy": 0.1682340309023857,
+      "num_tokens": 5493587.0,
+      "step": 3015
+    },
+    {
+      "entropy": 5.6203169345855715,
+      "epoch": 2.5020712510356256,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004640019798585581,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.15738681554794312,
+      "num_tokens": 5503117.0,
+      "step": 3020
+    },
+    {
+      "entropy": 5.762682390213013,
+      "epoch": 2.5062137531068767,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046382840679557233,
+      "loss": 5.5352,
+      "mean_token_accuracy": 0.16024575680494307,
+      "num_tokens": 5512742.0,
+      "step": 3025
+    },
+    {
+      "entropy": 5.647499704360962,
+      "epoch": 2.5103562551781273,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00046365445284505516,
+      "loss": 5.4968,
+      "mean_token_accuracy": 0.16166605204343795,
+      "num_tokens": 5521862.0,
+      "step": 3030
+    },
+    {
+      "entropy": 5.597900772094727,
+      "epoch": 2.5144987572493784,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.0004634801183578907,
+      "loss": 5.488,
+      "mean_token_accuracy": 0.1608501434326172,
+      "num_tokens": 5531244.0,
+      "step": 3035
+    },
+    {
+      "entropy": 5.655751419067383,
+      "epoch": 2.5186412593206295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046330540368573063,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15176820158958435,
+      "num_tokens": 5540786.0,
+      "step": 3040
+    },
+    {
+      "entropy": 5.7291028022766115,
+      "epoch": 2.5227837613918807,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046313030918099365,
+      "loss": 5.5224,
+      "mean_token_accuracy": 0.1602902241051197,
+      "num_tokens": 5549961.0,
+      "step": 3045
+    },
+    {
+      "entropy": 5.620108366012573,
+      "epoch": 2.5269262634631318,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00046295483519686437,
+      "loss": 5.4591,
+      "mean_token_accuracy": 0.16417455673217773,
+      "num_tokens": 5558941.0,
+      "step": 3050
+    },
+    {
+      "entropy": 5.644694232940674,
+      "epoch": 2.531068765534383,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046277898208729306,
+      "loss": 5.4673,
+      "mean_token_accuracy": 0.16716189235448836,
+      "num_tokens": 5567630.0,
+      "step": 3055
+    },
+    {
+      "entropy": 5.586954879760742,
+      "epoch": 2.535211267605634,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004626027502069947,
+      "loss": 5.4301,
+      "mean_token_accuracy": 0.16521373838186265,
+      "num_tokens": 5576430.0,
+      "step": 3060
+    },
+    {
+      "entropy": 5.650178289413452,
+      "epoch": 2.539353769676885,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046242613991144814,
+      "loss": 5.5444,
+      "mean_token_accuracy": 0.1609214127063751,
+      "num_tokens": 5584785.0,
+      "step": 3065
+    },
+    {
+      "entropy": 5.585511493682861,
+      "epoch": 2.5434962717481358,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046224915155689586,
+      "loss": 5.478,
+      "mean_token_accuracy": 0.16044741719961167,
+      "num_tokens": 5594583.0,
+      "step": 3070
+    },
+    {
+      "entropy": 5.638197040557861,
+      "epoch": 2.547638773819387,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046207178550034244,
+      "loss": 5.4306,
+      "mean_token_accuracy": 0.1608849883079529,
+      "num_tokens": 5603498.0,
+      "step": 3075
+    },
+    {
+      "entropy": 5.7161966323852536,
+      "epoch": 2.551781275890638,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004618940420995547,
+      "loss": 5.5685,
+      "mean_token_accuracy": 0.15440558269619942,
+      "num_tokens": 5613101.0,
+      "step": 3080
+    },
+    {
+      "entropy": 5.665849494934082,
+      "epoch": 2.555923777961889,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004617159217130606,
+      "loss": 5.5409,
+      "mean_token_accuracy": 0.1569191187620163,
+      "num_tokens": 5621821.0,
+      "step": 3085
+    },
+    {
+      "entropy": 5.711861181259155,
+      "epoch": 2.5600662800331397,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004615374247001483,
+      "loss": 5.5738,
+      "mean_token_accuracy": 0.15701586306095122,
+      "num_tokens": 5631006.0,
+      "step": 3090
+    },
+    {
+      "entropy": 5.674423551559448,
+      "epoch": 2.564208782104391,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004613585514208659,
+      "loss": 5.5295,
+      "mean_token_accuracy": 0.15232180580496787,
+      "num_tokens": 5640159.0,
+      "step": 3095
+    },
+    {
+      "entropy": 5.592060613632202,
+      "epoch": 2.568351284175642,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046117930223602016,
+      "loss": 5.4003,
+      "mean_token_accuracy": 0.1694741129875183,
+      "num_tokens": 5648369.0,
+      "step": 3100
+    },
+    {
+      "entropy": 5.5982965469360355,
+      "epoch": 2.572493786246893,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004609996775071765,
+      "loss": 5.459,
+      "mean_token_accuracy": 0.1591326355934143,
+      "num_tokens": 5657669.0,
+      "step": 3105
+    },
+    {
+      "entropy": 5.56780686378479,
+      "epoch": 2.576636288318144,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004608196775966575,
+      "loss": 5.5319,
+      "mean_token_accuracy": 0.1610974356532097,
+      "num_tokens": 5666601.0,
+      "step": 3110
+    },
+    {
+      "entropy": 5.639773225784301,
+      "epoch": 2.5807787903893953,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046063930286754267,
+      "loss": 5.4465,
+      "mean_token_accuracy": 0.16618527621030807,
+      "num_tokens": 5675243.0,
+      "step": 3115
+    },
+    {
+      "entropy": 5.56855001449585,
+      "epoch": 2.5849212924606464,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00046045855368366756,
+      "loss": 5.466,
+      "mean_token_accuracy": 0.1630399063229561,
+      "num_tokens": 5683646.0,
+      "step": 3120
+    },
+    {
+      "entropy": 5.682586193084717,
+      "epoch": 2.5890637945318975,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.000460277430409623,
+      "loss": 5.5129,
+      "mean_token_accuracy": 0.17162407487630843,
+      "num_tokens": 5693069.0,
+      "step": 3125
+    },
+    {
+      "entropy": 5.587219524383545,
+      "epoch": 2.593206296603148,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046009593341075444,
+      "loss": 5.3754,
+      "mean_token_accuracy": 0.16499391198158264,
+      "num_tokens": 5701527.0,
+      "step": 3130
+    },
+    {
+      "entropy": 5.561956834793091,
+      "epoch": 2.5973487986743993,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004599140630531612,
+      "loss": 5.5403,
+      "mean_token_accuracy": 0.15682477951049806,
+      "num_tokens": 5710379.0,
+      "step": 3135
+    },
+    {
+      "entropy": 5.69692587852478,
+      "epoch": 2.6014913007456504,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004597318197036956,
+      "loss": 5.4524,
+      "mean_token_accuracy": 0.1643553927540779,
+      "num_tokens": 5719217.0,
+      "step": 3140
+    },
+    {
+      "entropy": 5.629226970672607,
+      "epoch": 2.6056338028169015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004595492037299624,
+      "loss": 5.5535,
+      "mean_token_accuracy": 0.16214104294776915,
+      "num_tokens": 5728331.0,
+      "step": 3145
+    },
+    {
+      "entropy": 5.608061027526856,
+      "epoch": 2.6097763048881526,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045936621550031806,
+      "loss": 5.5107,
+      "mean_token_accuracy": 0.16073764860630035,
+      "num_tokens": 5737696.0,
+      "step": 3150
+    },
+    {
+      "entropy": 5.731885099411011,
+      "epoch": 2.6139188069594033,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045918285538386973,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.16164542436599733,
+      "num_tokens": 5746191.0,
+      "step": 3155
+    },
+    {
+      "entropy": 5.703127813339234,
+      "epoch": 2.6180613090306544,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00045899912375047485,
+      "loss": 5.5619,
+      "mean_token_accuracy": 0.1629435494542122,
+      "num_tokens": 5754824.0,
+      "step": 3160
+    },
+    {
+      "entropy": 5.638229656219482,
+      "epoch": 2.6222038111019055,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045881502097074023,
+      "loss": 5.537,
+      "mean_token_accuracy": 0.1518124133348465,
+      "num_tokens": 5764863.0,
+      "step": 3165
+    },
+    {
+      "entropy": 5.614318180084228,
+      "epoch": 2.6263463131731566,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004586305474160212,
+      "loss": 5.5459,
+      "mean_token_accuracy": 0.15642993301153182,
+      "num_tokens": 5774273.0,
+      "step": 3170
+    },
+    {
+      "entropy": 5.666326427459717,
+      "epoch": 2.6304888152444077,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045844570345842116,
+      "loss": 5.5044,
+      "mean_token_accuracy": 0.16042826995253562,
+      "num_tokens": 5784085.0,
+      "step": 3175
+    },
+    {
+      "entropy": 5.659371709823608,
+      "epoch": 2.634631317315659,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004582604894707906,
+      "loss": 5.5336,
+      "mean_token_accuracy": 0.16884370446205138,
+      "num_tokens": 5793921.0,
+      "step": 3180
+    },
+    {
+      "entropy": 5.664378356933594,
+      "epoch": 2.63877381938691,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00045807490582672634,
+      "loss": 5.4972,
+      "mean_token_accuracy": 0.15294444859027861,
+      "num_tokens": 5803902.0,
+      "step": 3185
+    },
+    {
+      "entropy": 5.542481708526611,
+      "epoch": 2.6429163214581606,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00045788895290057083,
+      "loss": 5.4129,
+      "mean_token_accuracy": 0.16788192689418793,
+      "num_tokens": 5812089.0,
+      "step": 3190
+    },
+    {
+      "entropy": 5.6802209377288815,
+      "epoch": 2.6470588235294117,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00045770263106741137,
+      "loss": 5.5784,
+      "mean_token_accuracy": 0.1578851893544197,
+      "num_tokens": 5821072.0,
+      "step": 3195
+    },
+    {
+      "entropy": 5.628516340255738,
+      "epoch": 2.651201325600663,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004575159407030797,
+      "loss": 5.4029,
+      "mean_token_accuracy": 0.16388181746006011,
+      "num_tokens": 5829725.0,
+      "step": 3200
+    },
+    {
+      "entropy": 5.500157403945923,
+      "epoch": 2.655343827671914,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004573288821841505,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16496249735355378,
+      "num_tokens": 5838153.0,
+      "step": 3205
+    },
+    {
+      "entropy": 5.616616106033325,
+      "epoch": 2.659486329743165,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004571414558879413,
+      "loss": 5.4409,
+      "mean_token_accuracy": 0.15448423773050307,
+      "num_tokens": 5847270.0,
+      "step": 3210
+    },
+    {
+      "entropy": 5.6490891456604,
+      "epoch": 2.6636288318144157,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004569536621925114,
+      "loss": 5.5472,
+      "mean_token_accuracy": 0.15474478006362916,
+      "num_tokens": 5855954.0,
+      "step": 3215
+    },
+    {
+      "entropy": 5.634416961669922,
+      "epoch": 2.667771333885667,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004567655014766612,
+      "loss": 5.4529,
+      "mean_token_accuracy": 0.16163208782672883,
+      "num_tokens": 5864435.0,
+      "step": 3220
+    },
+    {
+      "entropy": 5.624909925460815,
+      "epoch": 2.671913835956918,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004565769741199314,
+      "loss": 5.5135,
+      "mean_token_accuracy": 0.1572384186089039,
+      "num_tokens": 5873964.0,
+      "step": 3225
+    },
+    {
+      "entropy": 5.727962255477905,
+      "epoch": 2.676056338028169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045638808050260237,
+      "loss": 5.4648,
+      "mean_token_accuracy": 0.16628578454256057,
+      "num_tokens": 5882738.0,
+      "step": 3230
+    },
+    {
+      "entropy": 5.587652635574341,
+      "epoch": 2.68019884009942,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00045619882100569317,
+      "loss": 5.5925,
+      "mean_token_accuracy": 0.15854242593050002,
+      "num_tokens": 5891749.0,
+      "step": 3235
+    },
+    {
+      "entropy": 5.627515649795532,
+      "epoch": 2.684341342170671,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004560091960109608,
+      "loss": 5.5372,
+      "mean_token_accuracy": 0.15811603218317033,
+      "num_tokens": 5900551.0,
+      "step": 3240
+    },
+    {
+      "entropy": 5.661735343933105,
+      "epoch": 2.6884838442419223,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004558192059008996,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.1517203629016876,
+      "num_tokens": 5909254.0,
+      "step": 3245
+    },
+    {
+      "entropy": 5.599635648727417,
+      "epoch": 2.692626346313173,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004556288510587406,
+      "loss": 5.4987,
+      "mean_token_accuracy": 0.15817683488130568,
+      "num_tokens": 5918357.0,
+      "step": 3250
+    },
+    {
+      "entropy": 5.662895679473877,
+      "epoch": 2.696768848384424,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00045543813186845004,
+      "loss": 5.5021,
+      "mean_token_accuracy": 0.15579704195261002,
+      "num_tokens": 5927742.0,
+      "step": 3255
+    },
+    {
+      "entropy": 5.627440690994263,
+      "epoch": 2.700911350455675,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004552470487147294,
+      "loss": 5.5823,
+      "mean_token_accuracy": 0.1556493915617466,
+      "num_tokens": 5937025.0,
+      "step": 3260
+    },
+    {
+      "entropy": 5.70678014755249,
+      "epoch": 2.7050538525269263,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045505560198301443,
+      "loss": 5.5615,
+      "mean_token_accuracy": 0.15135139375925064,
+      "num_tokens": 5946176.0,
+      "step": 3265
+    },
+    {
+      "entropy": 5.659924745559692,
+      "epoch": 2.7091963545981774,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045486379205947396,
+      "loss": 5.5233,
+      "mean_token_accuracy": 0.1584411159157753,
+      "num_tokens": 5955550.0,
+      "step": 3270
+    },
+    {
+      "entropy": 5.594695281982422,
+      "epoch": 2.713338856669428,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004546716193310098,
+      "loss": 5.4541,
+      "mean_token_accuracy": 0.1651945412158966,
+      "num_tokens": 5964467.0,
+      "step": 3275
+    },
+    {
+      "entropy": 5.605531787872314,
+      "epoch": 2.717481358740679,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000454479084185255,
+      "loss": 5.4855,
+      "mean_token_accuracy": 0.1514287754893303,
+      "num_tokens": 5973906.0,
+      "step": 3280
+    },
+    {
+      "entropy": 5.696796035766601,
+      "epoch": 2.7216238608119303,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004542861870105743,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.15694239139556884,
+      "num_tokens": 5983701.0,
+      "step": 3285
+    },
+    {
+      "entropy": 5.623150444030761,
+      "epoch": 2.7257663628831814,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045409292819606224,
+      "loss": 5.4971,
+      "mean_token_accuracy": 0.16068210303783417,
+      "num_tokens": 5993367.0,
+      "step": 3290
+    },
+    {
+      "entropy": 5.646857404708863,
+      "epoch": 2.7299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045389930813154297,
+      "loss": 5.4519,
+      "mean_token_accuracy": 0.16334805637598038,
+      "num_tokens": 6003752.0,
+      "step": 3295
+    },
+    {
+      "entropy": 5.675233459472656,
+      "epoch": 2.7340513670256836,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004537053272075693,
+      "loss": 5.5263,
+      "mean_token_accuracy": 0.1621565416455269,
+      "num_tokens": 6012486.0,
+      "step": 3300
+    },
+    {
+      "entropy": 5.5136041164398195,
+      "epoch": 2.7381938690969347,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045351098581542204,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.163838130235672,
+      "num_tokens": 6020742.0,
+      "step": 3305
+    },
+    {
+      "entropy": 5.646917295455933,
+      "epoch": 2.742336371168186,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004533162843471089,
+      "loss": 5.5009,
+      "mean_token_accuracy": 0.15474170595407485,
+      "num_tokens": 6030248.0,
+      "step": 3310
+    },
+    {
+      "entropy": 5.632185411453247,
+      "epoch": 2.7464788732394365,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004531212231953641,
+      "loss": 5.5436,
+      "mean_token_accuracy": 0.15157791674137117,
+      "num_tokens": 6039293.0,
+      "step": 3315
+    },
+    {
+      "entropy": 5.587828540802002,
+      "epoch": 2.7506213753106876,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004529258027536473,
+      "loss": 5.4134,
+      "mean_token_accuracy": 0.16378402560949326,
+      "num_tokens": 6048081.0,
+      "step": 3320
+    },
+    {
+      "entropy": 5.673684549331665,
+      "epoch": 2.7547638773819387,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004527300234161428,
+      "loss": 5.5753,
+      "mean_token_accuracy": 0.15969255268573762,
+      "num_tokens": 6057549.0,
+      "step": 3325
+    },
+    {
+      "entropy": 5.646554040908813,
+      "epoch": 2.75890637945319,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004525338855777591,
+      "loss": 5.5589,
+      "mean_token_accuracy": 0.15469738617539405,
+      "num_tokens": 6067372.0,
+      "step": 3330
+    },
+    {
+      "entropy": 5.595069122314453,
+      "epoch": 2.7630488815244405,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045233738963412746,
+      "loss": 5.4181,
+      "mean_token_accuracy": 0.1717814713716507,
+      "num_tokens": 6075532.0,
+      "step": 3335
+    },
+    {
+      "entropy": 5.5924467086792,
+      "epoch": 2.7671913835956916,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045214053598160173,
+      "loss": 5.4439,
+      "mean_token_accuracy": 0.16404369622468948,
+      "num_tokens": 6084389.0,
+      "step": 3340
+    },
+    {
+      "entropy": 5.598109579086303,
+      "epoch": 2.7713338856669427,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045194332501725725,
+      "loss": 5.4706,
+      "mean_token_accuracy": 0.16428767740726472,
+      "num_tokens": 6093536.0,
+      "step": 3345
+    },
+    {
+      "entropy": 5.637304496765137,
+      "epoch": 2.775476387738194,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00045174575713889014,
+      "loss": 5.5167,
+      "mean_token_accuracy": 0.16573925465345382,
+      "num_tokens": 6102677.0,
+      "step": 3350
+    },
+    {
+      "entropy": 5.677533674240112,
+      "epoch": 2.779618889809445,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004515478327450164,
+      "loss": 5.5926,
+      "mean_token_accuracy": 0.156404609978199,
+      "num_tokens": 6112430.0,
+      "step": 3355
+    },
+    {
+      "entropy": 5.643227863311767,
+      "epoch": 2.783761391880696,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00045134955223487093,
+      "loss": 5.4889,
+      "mean_token_accuracy": 0.16630716919898986,
+      "num_tokens": 6121408.0,
+      "step": 3360
+    },
+    {
+      "entropy": 5.57972674369812,
+      "epoch": 2.787903893951947,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00045115091600840757,
+      "loss": 5.5188,
+      "mean_token_accuracy": 0.15800442099571227,
+      "num_tokens": 6131339.0,
+      "step": 3365
+    },
+    {
+      "entropy": 5.624274778366089,
+      "epoch": 2.7920463960231983,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00045095192446629697,
+      "loss": 5.4816,
+      "mean_token_accuracy": 0.16174803227186202,
+      "num_tokens": 6140590.0,
+      "step": 3370
+    },
+    {
+      "entropy": 5.704814815521241,
+      "epoch": 2.796188898094449,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000450752578009927,
+      "loss": 5.5621,
+      "mean_token_accuracy": 0.1653067871928215,
+      "num_tokens": 6149958.0,
+      "step": 3375
+    },
+    {
+      "entropy": 5.58657054901123,
+      "epoch": 2.8003314001657,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045055287704140115,
+      "loss": 5.4346,
+      "mean_token_accuracy": 0.15949429720640182,
+      "num_tokens": 6159411.0,
+      "step": 3380
+    },
+    {
+      "entropy": 5.595387983322143,
+      "epoch": 2.804473902236951,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004503528219635381,
+      "loss": 5.5138,
+      "mean_token_accuracy": 0.1545591250061989,
+      "num_tokens": 6169264.0,
+      "step": 3385
+    },
+    {
+      "entropy": 5.617677021026611,
+      "epoch": 2.8086164043082023,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004501524131798709,
+      "loss": 5.4826,
+      "mean_token_accuracy": 0.16332829892635345,
+      "num_tokens": 6178374.0,
+      "step": 3390
+    },
+    {
+      "entropy": 5.7183191776275635,
+      "epoch": 2.812758906379453,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000449951651094646,
+      "loss": 5.4697,
+      "mean_token_accuracy": 0.15537519603967667,
+      "num_tokens": 6186918.0,
+      "step": 3395
+    },
+    {
+      "entropy": 5.566522169113159,
+      "epoch": 2.816901408450704,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044975053611282217,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.1613329365849495,
+      "num_tokens": 6196400.0,
+      "step": 3400
+    },
+    {
+      "entropy": 5.514105558395386,
+      "epoch": 2.821043910521955,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004495490686400706,
+      "loss": 5.3941,
+      "mean_token_accuracy": 0.1649619847536087,
+      "num_tokens": 6204849.0,
+      "step": 3405
+    },
+    {
+      "entropy": 5.615210485458374,
+      "epoch": 2.8251864125932062,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00044934724908277313,
+      "loss": 5.4834,
+      "mean_token_accuracy": 0.16362717300653457,
+      "num_tokens": 6214121.0,
+      "step": 3410
+    },
+    {
+      "entropy": 5.654720067977905,
+      "epoch": 2.8293289146644574,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044914507784802184,
+      "loss": 5.4835,
+      "mean_token_accuracy": 0.16509974151849746,
+      "num_tokens": 6223163.0,
+      "step": 3415
+    },
+    {
+      "entropy": 5.641624307632446,
+      "epoch": 2.8334714167357085,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004489425553436182,
+      "loss": 5.5084,
+      "mean_token_accuracy": 0.15882937759160995,
+      "num_tokens": 6231581.0,
+      "step": 3420
+    },
+    {
+      "entropy": 5.659383153915405,
+      "epoch": 2.8376139188069596,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00044873968197807213,
+      "loss": 5.5838,
+      "mean_token_accuracy": 0.1599879801273346,
+      "num_tokens": 6240015.0,
+      "step": 3425
+    },
+    {
+      "entropy": 5.666435050964355,
+      "epoch": 2.8417564208782107,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044853645816060156,
+      "loss": 5.5979,
+      "mean_token_accuracy": 0.1532062940299511,
+      "num_tokens": 6249083.0,
+      "step": 3430
+    },
+    {
+      "entropy": 5.6627098560333256,
+      "epoch": 2.8458989229494613,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00044833288430113104,
+      "loss": 5.5496,
+      "mean_token_accuracy": 0.1654196172952652,
+      "num_tokens": 6258798.0,
+      "step": 3435
+    },
+    {
+      "entropy": 5.609176588058472,
+      "epoch": 2.8500414250207124,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00044812896081029136,
+      "loss": 5.4023,
+      "mean_token_accuracy": 0.16617698073387147,
+      "num_tokens": 6267819.0,
+      "step": 3440
+    },
+    {
+      "entropy": 5.626215600967408,
+      "epoch": 2.8541839270919636,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004479246880994183,
+      "loss": 5.4804,
+      "mean_token_accuracy": 0.15876610353589057,
+      "num_tokens": 6276915.0,
+      "step": 3445
+    },
+    {
+      "entropy": 5.627827167510986,
+      "epoch": 2.8583264291632147,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004477200665805525,
+      "loss": 5.5216,
+      "mean_token_accuracy": 0.15861138105392455,
+      "num_tokens": 6285880.0,
+      "step": 3450
+    },
+    {
+      "entropy": 5.6323963642120365,
+      "epoch": 2.8624689312344658,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00044751509666643777,
+      "loss": 5.6351,
+      "mean_token_accuracy": 0.14970673844218255,
+      "num_tokens": 6295408.0,
+      "step": 3455
+    },
+    {
+      "entropy": 5.6166990280151365,
+      "epoch": 2.8666114333057164,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044730977877052084,
+      "loss": 5.3753,
+      "mean_token_accuracy": 0.16562075018882752,
+      "num_tokens": 6304110.0,
+      "step": 3460
+    },
+    {
+      "entropy": 5.669659185409546,
+      "epoch": 2.8707539353769675,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00044710411330695045,
+      "loss": 5.5254,
+      "mean_token_accuracy": 0.15842530727386475,
+      "num_tokens": 6312577.0,
+      "step": 3465
+    },
+    {
+      "entropy": 5.738371801376343,
+      "epoch": 2.8748964374482187,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00044689810069057615,
+      "loss": 5.606,
+      "mean_token_accuracy": 0.15023296922445298,
+      "num_tokens": 6321766.0,
+      "step": 3470
+    },
+    {
+      "entropy": 5.642851161956787,
+      "epoch": 2.8790389395194698,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004466917413369479,
+      "loss": 5.5731,
+      "mean_token_accuracy": 0.151870658993721,
+      "num_tokens": 6330327.0,
+      "step": 3475
+    },
+    {
+      "entropy": 5.577242517471314,
+      "epoch": 2.883181441590721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004464850356623152,
+      "loss": 5.4926,
+      "mean_token_accuracy": 0.16011006087064744,
+      "num_tokens": 6339596.0,
+      "step": 3480
+    },
+    {
+      "entropy": 5.613158226013184,
+      "epoch": 2.887323943661972,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00044627798408362597,
+      "loss": 5.3986,
+      "mean_token_accuracy": 0.1670537531375885,
+      "num_tokens": 6348080.0,
+      "step": 3485
+    },
+    {
+      "entropy": 5.613135099411011,
+      "epoch": 2.891466445733223,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004460705870185258,
+      "loss": 5.5277,
+      "mean_token_accuracy": 0.15435466170310974,
+      "num_tokens": 6357725.0,
+      "step": 3490
+    },
+    {
+      "entropy": 5.627930736541748,
+      "epoch": 2.8956089478044738,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004458628448853572,
+      "loss": 5.4831,
+      "mean_token_accuracy": 0.16073092967271804,
+      "num_tokens": 6366821.0,
+      "step": 3495
+    },
+    {
+      "entropy": 5.729347085952758,
+      "epoch": 2.899751449875725,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004456547581031589,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.15560299083590506,
+      "num_tokens": 6375641.0,
+      "step": 3500
+    },
+    {
+      "epoch": 2.899751449875725,
+      "eval_entropy": 5.414937326394673,
+      "eval_loss": 5.899942874908447,
+      "eval_mean_token_accuracy": 0.15183768343569629,
+      "eval_num_tokens": 6375641.0,
+      "eval_runtime": 2.9583,
+      "eval_samples_per_second": 1266.605,
+      "eval_steps_per_second": 158.537,
+      "step": 3500
+    },
+    {
+      "entropy": 5.548971128463745,
+      "epoch": 2.903893951946976,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004454463270916646,
+      "loss": 5.404,
+      "mean_token_accuracy": 0.1680065542459488,
+      "num_tokens": 6384596.0,
+      "step": 3505
+    },
+    {
+      "entropy": 5.719941425323486,
+      "epoch": 2.908036454018227,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004452375522713023,
+      "loss": 5.7474,
+      "mean_token_accuracy": 0.14030246064066887,
+      "num_tokens": 6395048.0,
+      "step": 3510
+    },
+    {
+      "entropy": 5.643452119827271,
+      "epoch": 2.912178956089478,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004450284340631938,
+      "loss": 5.5762,
+      "mean_token_accuracy": 0.15520212948322296,
+      "num_tokens": 6404828.0,
+      "step": 3515
+    },
+    {
+      "entropy": 5.627139854431152,
+      "epoch": 2.916321458160729,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044481897288915334,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.16042221039533616,
+      "num_tokens": 6414670.0,
+      "step": 3520
+    },
+    {
+      "entropy": 5.474701166152954,
+      "epoch": 2.92046396023198,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044460916917168697,
+      "loss": 5.3896,
+      "mean_token_accuracy": 0.16453512459993364,
+      "num_tokens": 6423446.0,
+      "step": 3525
+    },
+    {
+      "entropy": 5.5396312236785885,
+      "epoch": 2.924606462303231,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004443990233339918,
+      "loss": 5.4655,
+      "mean_token_accuracy": 0.1552535504102707,
+      "num_tokens": 6433412.0,
+      "step": 3530
+    },
+    {
+      "entropy": 5.652051544189453,
+      "epoch": 2.928748964374482,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004441885357999548,
+      "loss": 5.444,
+      "mean_token_accuracy": 0.1643453508615494,
+      "num_tokens": 6443520.0,
+      "step": 3535
+    },
+    {
+      "entropy": 5.674185514450073,
+      "epoch": 2.9328914664457333,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004439777069941524,
+      "loss": 5.5527,
+      "mean_token_accuracy": 0.15431721061468123,
+      "num_tokens": 6452933.0,
+      "step": 3540
+    },
+    {
+      "entropy": 5.550513553619385,
+      "epoch": 2.9370339685169844,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044376653734184935,
+      "loss": 5.3908,
+      "mean_token_accuracy": 0.16788479536771775,
+      "num_tokens": 6462113.0,
+      "step": 3545
+    },
+    {
+      "entropy": 5.468146800994873,
+      "epoch": 2.9411764705882355,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004435550272689979,
+      "loss": 5.4246,
+      "mean_token_accuracy": 0.16583772748708725,
+      "num_tokens": 6471411.0,
+      "step": 3550
+    },
+    {
+      "entropy": 5.662385082244873,
+      "epoch": 2.945318972659486,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00044334317720223706,
+      "loss": 5.532,
+      "mean_token_accuracy": 0.1599032275378704,
+      "num_tokens": 6480682.0,
+      "step": 3555
+    },
+    {
+      "entropy": 5.678339672088623,
+      "epoch": 2.9494614747307373,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00044313098756889154,
+      "loss": 5.5754,
+      "mean_token_accuracy": 0.15587076246738435,
+      "num_tokens": 6490614.0,
+      "step": 3560
+    },
+    {
+      "entropy": 5.585533094406128,
+      "epoch": 2.9536039768019884,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004429184587969708,
+      "loss": 5.4273,
+      "mean_token_accuracy": 0.16405707746744155,
+      "num_tokens": 6499079.0,
+      "step": 3565
+    },
+    {
+      "entropy": 5.668995666503906,
+      "epoch": 2.9577464788732395,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004427055913151689,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.14727827310562133,
+      "num_tokens": 6508556.0,
+      "step": 3570
+    },
+    {
+      "entropy": 5.70610499382019,
+      "epoch": 2.9618889809444906,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004424923855528626,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.15901169627904893,
+      "num_tokens": 6517934.0,
+      "step": 3575
+    },
+    {
+      "entropy": 5.614701509475708,
+      "epoch": 2.9660314830157413,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004422788419401114,
+      "loss": 5.4321,
+      "mean_token_accuracy": 0.1702651560306549,
+      "num_tokens": 6526995.0,
+      "step": 3580
+    },
+    {
+      "entropy": 5.572284936904907,
+      "epoch": 2.9701739850869924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00044206496090765595,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1573972523212433,
+      "num_tokens": 6535264.0,
+      "step": 3585
+    },
+    {
+      "entropy": 5.610080623626709,
+      "epoch": 2.9743164871582435,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00044185074288691776,
+      "loss": 5.3994,
+      "mean_token_accuracy": 0.1746336281299591,
+      "num_tokens": 6544498.0,
+      "step": 3590
+    },
+    {
+      "entropy": 5.582769393920898,
+      "epoch": 2.9784589892294946,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044163618830999794,
+      "loss": 5.5098,
+      "mean_token_accuracy": 0.16030704230070114,
+      "num_tokens": 6554761.0,
+      "step": 3595
+    },
+    {
+      "entropy": 5.603819417953491,
+      "epoch": 2.9826014913007457,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044142129760967643,
+      "loss": 5.5614,
+      "mean_token_accuracy": 0.15714355707168579,
+      "num_tokens": 6564039.0,
+      "step": 3600
+    },
+    {
+      "entropy": 5.679829835891724,
+      "epoch": 2.986743993371997,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004412060712194115,
+      "loss": 5.5068,
+      "mean_token_accuracy": 0.15993095487356185,
+      "num_tokens": 6572559.0,
+      "step": 3605
+    },
+    {
+      "entropy": 5.589264869689941,
+      "epoch": 2.990886495443248,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004409905095733381,
+      "loss": 5.4931,
+      "mean_token_accuracy": 0.1612076446413994,
+      "num_tokens": 6581621.0,
+      "step": 3610
+    },
+    {
+      "entropy": 5.550649166107178,
+      "epoch": 2.995028997514499,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00044077461310626764,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.15403861105442046,
+      "num_tokens": 6590353.0,
+      "step": 3615
+    },
+    {
+      "entropy": 5.64892258644104,
+      "epoch": 2.9991714995857497,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000440558382253687,
+      "loss": 5.4575,
+      "mean_token_accuracy": 0.16497674435377122,
+      "num_tokens": 6598822.0,
+      "step": 3620
+    },
+    {
+      "entropy": 5.5967165470123295,
+      "epoch": 3.003314001657001,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004403418174517573,
+      "loss": 5.2529,
+      "mean_token_accuracy": 0.16683556884527206,
+      "num_tokens": 6606728.0,
+      "step": 3625
+    },
+    {
+      "entropy": 5.599476623535156,
+      "epoch": 3.007456503728252,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044012491913731353,
+      "loss": 5.1756,
+      "mean_token_accuracy": 0.1743481546640396,
+      "num_tokens": 6616226.0,
+      "step": 3630
+    },
+    {
+      "entropy": 5.5095573425292965,
+      "epoch": 3.011599005799503,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004399076877478632,
+      "loss": 5.0266,
+      "mean_token_accuracy": 0.1868550017476082,
+      "num_tokens": 6624801.0,
+      "step": 3635
+    },
+    {
+      "entropy": 5.60879430770874,
+      "epoch": 3.015741507870754,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004396901237215858,
+      "loss": 5.2209,
+      "mean_token_accuracy": 0.16688485741615294,
+      "num_tokens": 6633043.0,
+      "step": 3640
+    },
+    {
+      "entropy": 5.538025426864624,
+      "epoch": 3.019884009942005,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043947222749733173,
+      "loss": 5.1692,
+      "mean_token_accuracy": 0.17499702274799347,
+      "num_tokens": 6641197.0,
+      "step": 3645
+    },
+    {
+      "entropy": 5.586767101287842,
+      "epoch": 3.024026512013256,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043925399951462153,
+      "loss": 5.2064,
+      "mean_token_accuracy": 0.1801098555326462,
+      "num_tokens": 6650411.0,
+      "step": 3650
+    },
+    {
+      "entropy": 5.4191618919372555,
+      "epoch": 3.028169014084507,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004390354402136449,
+      "loss": 5.0903,
+      "mean_token_accuracy": 0.17804521024227143,
+      "num_tokens": 6659405.0,
+      "step": 3655
+    },
+    {
+      "entropy": 5.583788824081421,
+      "epoch": 3.032311516155758,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0004388165500352597,
+      "loss": 5.1642,
+      "mean_token_accuracy": 0.17557908743619918,
+      "num_tokens": 6667701.0,
+      "step": 3660
+    },
+    {
+      "entropy": 5.614604902267456,
+      "epoch": 3.036454018227009,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004385973294209915,
+      "loss": 5.1881,
+      "mean_token_accuracy": 0.17808027267456056,
+      "num_tokens": 6676801.0,
+      "step": 3665
+    },
+    {
+      "entropy": 5.457578706741333,
+      "epoch": 3.0405965202982603,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004383777788130321,
+      "loss": 5.083,
+      "mean_token_accuracy": 0.17836775481700898,
+      "num_tokens": 6686005.0,
+      "step": 3670
+    },
+    {
+      "entropy": 5.479088068008423,
+      "epoch": 3.044739022369511,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004381578986542393,
+      "loss": 5.0937,
+      "mean_token_accuracy": 0.17960153371095658,
+      "num_tokens": 6694884.0,
+      "step": 3675
+    },
+    {
+      "entropy": 5.501745700836182,
+      "epoch": 3.048881524440762,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004379376893881352,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.17827630788087845,
+      "num_tokens": 6703476.0,
+      "step": 3680
+    },
+    {
+      "entropy": 5.616245269775391,
+      "epoch": 3.053024026512013,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004377171514589059,
+      "loss": 5.2531,
+      "mean_token_accuracy": 0.1736731931567192,
+      "num_tokens": 6712576.0,
+      "step": 3685
+    },
+    {
+      "entropy": 5.398316955566406,
+      "epoch": 3.0571665285832643,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004374962853114007,
+      "loss": 5.0545,
+      "mean_token_accuracy": 0.18062082678079605,
+      "num_tokens": 6721532.0,
+      "step": 3690
+    },
+    {
+      "entropy": 5.480774354934693,
+      "epoch": 3.0613090306545154,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004372750913911306,
+      "loss": 5.1028,
+      "mean_token_accuracy": 0.18300070911645888,
+      "num_tokens": 6730055.0,
+      "step": 3695
+    },
+    {
+      "entropy": 5.446919918060303,
+      "epoch": 3.0654515327257665,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004370535701442679,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.17969694286584853,
+      "num_tokens": 6739310.0,
+      "step": 3700
+    },
+    {
+      "entropy": 5.54828953742981,
+      "epoch": 3.069594034797017,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043683172201764537,
+      "loss": 5.2581,
+      "mean_token_accuracy": 0.16716694980859756,
+      "num_tokens": 6748976.0,
+      "step": 3705
+    },
+    {
+      "entropy": 5.539231872558593,
+      "epoch": 3.0737365368682683,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004366095474587547,
+      "loss": 5.1044,
+      "mean_token_accuracy": 0.17598106861114501,
+      "num_tokens": 6758043.0,
+      "step": 3710
+    },
+    {
+      "entropy": 5.500854778289795,
+      "epoch": 3.0778790389395194,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00043638704691574646,
+      "loss": 5.163,
+      "mean_token_accuracy": 0.1786232903599739,
+      "num_tokens": 6767554.0,
+      "step": 3715
+    },
+    {
+      "entropy": 5.560473966598511,
+      "epoch": 3.0820215410107705,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004361642208374283,
+      "loss": 5.1882,
+      "mean_token_accuracy": 0.1666739672422409,
+      "num_tokens": 6776161.0,
+      "step": 3720
+    },
+    {
+      "entropy": 5.476630401611328,
+      "epoch": 3.0861640430820216,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043594106967326495,
+      "loss": 5.1169,
+      "mean_token_accuracy": 0.17555084377527236,
+      "num_tokens": 6785371.0,
+      "step": 3725
+    },
+    {
+      "entropy": 5.494755983352661,
+      "epoch": 3.0903065451532727,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00043571759387337665,
+      "loss": 5.1456,
+      "mean_token_accuracy": 0.1808715656399727,
+      "num_tokens": 6795242.0,
+      "step": 3730
+    },
+    {
+      "entropy": 5.591760492324829,
+      "epoch": 3.0944490472245234,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004354937938885385,
+      "loss": 5.2235,
+      "mean_token_accuracy": 0.17338325083255768,
+      "num_tokens": 6805423.0,
+      "step": 3735
+    },
+    {
+      "entropy": 5.464981889724731,
+      "epoch": 3.0985915492957745,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004352696701701796,
+      "loss": 5.1469,
+      "mean_token_accuracy": 0.17880967408418655,
+      "num_tokens": 6814377.0,
+      "step": 3740
+    },
+    {
+      "entropy": 5.448660278320313,
+      "epoch": 3.1027340513670256,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004350452231703819,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.18132367432117463,
+      "num_tokens": 6824025.0,
+      "step": 3745
+    },
+    {
+      "entropy": 5.550149536132812,
+      "epoch": 3.1068765534382767,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043482045334187954,
+      "loss": 5.1273,
+      "mean_token_accuracy": 0.18649032860994338,
+      "num_tokens": 6833071.0,
+      "step": 3750
+    },
+    {
+      "entropy": 5.442513799667358,
+      "epoch": 3.111019055509528,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043459536113805785,
+      "loss": 5.1076,
+      "mean_token_accuracy": 0.17443138360977173,
+      "num_tokens": 6841983.0,
+      "step": 3755
+    },
+    {
+      "entropy": 5.447629022598266,
+      "epoch": 3.115161557580779,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00043436994701295237,
+      "loss": 5.1043,
+      "mean_token_accuracy": 0.17914267033338546,
+      "num_tokens": 6851436.0,
+      "step": 3760
+    },
+    {
+      "entropy": 5.461205101013183,
+      "epoch": 3.1193040596520296,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00043414421142124804,
+      "loss": 5.1836,
+      "mean_token_accuracy": 0.1672696813941002,
+      "num_tokens": 6861810.0,
+      "step": 3765
+    },
+    {
+      "entropy": 5.478553342819214,
+      "epoch": 3.1234465617232807,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00043391815481827814,
+      "loss": 5.0639,
+      "mean_token_accuracy": 0.18850475996732713,
+      "num_tokens": 6870418.0,
+      "step": 3770
+    },
+    {
+      "entropy": 5.41155161857605,
+      "epoch": 3.127589063794532,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004336917776600237,
+      "loss": 5.0683,
+      "mean_token_accuracy": 0.18221812546253205,
+      "num_tokens": 6879419.0,
+      "step": 3775
+    },
+    {
+      "entropy": 5.435874891281128,
+      "epoch": 3.131731565865783,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004334650804031122,
+      "loss": 5.1852,
+      "mean_token_accuracy": 0.17172302156686783,
+      "num_tokens": 6888768.0,
+      "step": 3780
+    },
+    {
+      "entropy": 5.507850646972656,
+      "epoch": 3.135874067937034,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004332380635048165,
+      "loss": 5.1296,
+      "mean_token_accuracy": 0.17900288552045823,
+      "num_tokens": 6897133.0,
+      "step": 3785
+    },
+    {
+      "entropy": 5.485491752624512,
+      "epoch": 3.140016570008285,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00043301072742305474,
+      "loss": 5.1773,
+      "mean_token_accuracy": 0.17168077528476716,
+      "num_tokens": 6904976.0,
+      "step": 3790
+    },
+    {
+      "entropy": 5.537312364578247,
+      "epoch": 3.1441590720795363,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0004327830726163886,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.17883574068546296,
+      "num_tokens": 6915138.0,
+      "step": 3795
+    },
+    {
+      "entropy": 5.548703718185425,
+      "epoch": 3.148301574150787,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0004325550995440226,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.1752033144235611,
+      "num_tokens": 6923962.0,
+      "step": 3800
+    },
+    {
+      "entropy": 5.386642169952393,
+      "epoch": 3.152444076222038,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043232680866580356,
+      "loss": 5.1478,
+      "mean_token_accuracy": 0.17952724993228913,
+      "num_tokens": 6932102.0,
+      "step": 3805
+    },
+    {
+      "entropy": 5.464086627960205,
+      "epoch": 3.156586578293289,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00043209820044221893,
+      "loss": 5.153,
+      "mean_token_accuracy": 0.1785269558429718,
+      "num_tokens": 6940354.0,
+      "step": 3810
+    },
+    {
+      "entropy": 5.4963922023773195,
+      "epoch": 3.1607290803645403,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00043186927533439654,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.1716633692383766,
+      "num_tokens": 6949779.0,
+      "step": 3815
+    },
+    {
+      "entropy": 5.536400413513183,
+      "epoch": 3.1648715824357914,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043164003380410335,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.17445194274187087,
+      "num_tokens": 6958760.0,
+      "step": 3820
+    },
+    {
+      "entropy": 5.486375331878662,
+      "epoch": 3.169014084507042,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004314104763137445,
+      "loss": 5.1037,
+      "mean_token_accuracy": 0.18134674280881882,
+      "num_tokens": 6967535.0,
+      "step": 3825
+    },
+    {
+      "entropy": 5.469356393814087,
+      "epoch": 3.173156586578293,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043118060332636264,
+      "loss": 5.2036,
+      "mean_token_accuracy": 0.17774708271026612,
+      "num_tokens": 6976211.0,
+      "step": 3830
+    },
+    {
+      "entropy": 5.576221227645874,
+      "epoch": 3.1772990886495442,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043095041530563665,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.17325948774814606,
+      "num_tokens": 6986001.0,
+      "step": 3835
+    },
+    {
+      "entropy": 5.420689487457276,
+      "epoch": 3.1814415907207954,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00043071991271588104,
+      "loss": 5.2006,
+      "mean_token_accuracy": 0.18302187621593474,
+      "num_tokens": 6994568.0,
+      "step": 3840
+    },
+    {
+      "entropy": 5.52434401512146,
+      "epoch": 3.1855840927920465,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004304890960220446,
+      "loss": 5.2921,
+      "mean_token_accuracy": 0.16869494169950486,
+      "num_tokens": 7004744.0,
+      "step": 3845
+    },
+    {
+      "entropy": 5.520354557037353,
+      "epoch": 3.1897265948632976,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043025796568970975,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.1696591019630432,
+      "num_tokens": 7014315.0,
+      "step": 3850
+    },
+    {
+      "entropy": 5.523347425460815,
+      "epoch": 3.1938690969345487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043002652218509184,
+      "loss": 5.1172,
+      "mean_token_accuracy": 0.18450311720371246,
+      "num_tokens": 7022258.0,
+      "step": 3855
+    },
+    {
+      "entropy": 5.522213459014893,
+      "epoch": 3.1980115990057993,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004297947659750376,
+      "loss": 5.2587,
+      "mean_token_accuracy": 0.1674624815583229,
+      "num_tokens": 7031732.0,
+      "step": 3860
+    },
+    {
+      "entropy": 5.467557621002197,
+      "epoch": 3.2021541010770505,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004295626975270246,
+      "loss": 5.1818,
+      "mean_token_accuracy": 0.1766605108976364,
+      "num_tokens": 7040478.0,
+      "step": 3865
+    },
+    {
+      "entropy": 5.490935039520264,
+      "epoch": 3.2062966031483016,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00042933031730916024,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.18396904766559602,
+      "num_tokens": 7049360.0,
+      "step": 3870
+    },
+    {
+      "entropy": 5.5688018798828125,
+      "epoch": 3.2104391052195527,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000429097625790181,
+      "loss": 5.2267,
+      "mean_token_accuracy": 0.17498258501291275,
+      "num_tokens": 7059271.0,
+      "step": 3875
+    },
+    {
+      "entropy": 5.398471450805664,
+      "epoch": 3.2145816072908038,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004288646234394508,
+      "loss": 5.2177,
+      "mean_token_accuracy": 0.17296054661273957,
+      "num_tokens": 7069038.0,
+      "step": 3880
+    },
+    {
+      "entropy": 5.5407984256744385,
+      "epoch": 3.218724109362055,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00042863131072696115,
+      "loss": 5.1617,
+      "mean_token_accuracy": 0.17704827934503556,
+      "num_tokens": 7077971.0,
+      "step": 3885
+    },
+    {
+      "entropy": 5.4559561252594,
+      "epoch": 3.2228666114333056,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00042839768812332905,
+      "loss": 5.1612,
+      "mean_token_accuracy": 0.17406544089317322,
+      "num_tokens": 7086821.0,
+      "step": 3890
+    },
+    {
+      "entropy": 5.419722366333008,
+      "epoch": 3.2270091135045567,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000428163756099797,
+      "loss": 5.1859,
+      "mean_token_accuracy": 0.17225482910871506,
+      "num_tokens": 7095407.0,
+      "step": 3895
+    },
+    {
+      "entropy": 5.48249921798706,
+      "epoch": 3.2311516155758078,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004279295151282314,
+      "loss": 5.1116,
+      "mean_token_accuracy": 0.18240531533956528,
+      "num_tokens": 7103964.0,
+      "step": 3900
+    },
+    {
+      "entropy": 5.564240264892578,
+      "epoch": 3.235294117647059,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004276949656811217,
+      "loss": 5.251,
+      "mean_token_accuracy": 0.17079487890005113,
+      "num_tokens": 7113571.0,
+      "step": 3905
+    },
+    {
+      "entropy": 5.522033739089966,
+      "epoch": 3.23943661971831,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00042746010823158006,
+      "loss": 5.2738,
+      "mean_token_accuracy": 0.17067040055990218,
+      "num_tokens": 7122844.0,
+      "step": 3910
+    },
+    {
+      "entropy": 5.4324219703674315,
+      "epoch": 3.243579121789561,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042722494325333945,
+      "loss": 5.1326,
+      "mean_token_accuracy": 0.176889306306839,
+      "num_tokens": 7132123.0,
+      "step": 3915
+    },
+    {
+      "entropy": 5.458636379241943,
+      "epoch": 3.2477216238608118,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004269894712207533,
+      "loss": 5.1819,
+      "mean_token_accuracy": 0.18051923513412477,
+      "num_tokens": 7141068.0,
+      "step": 3920
+    },
+    {
+      "entropy": 5.43212571144104,
+      "epoch": 3.251864125932063,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004267536926087947,
+      "loss": 5.1925,
+      "mean_token_accuracy": 0.1708641156554222,
+      "num_tokens": 7150829.0,
+      "step": 3925
+    },
+    {
+      "entropy": 5.458031702041626,
+      "epoch": 3.256006628003314,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004265176078930545,
+      "loss": 5.1703,
+      "mean_token_accuracy": 0.17345706522464752,
+      "num_tokens": 7160814.0,
+      "step": 3930
+    },
+    {
+      "entropy": 5.498150825500488,
+      "epoch": 3.260149130074565,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00042628121754974166,
+      "loss": 5.2634,
+      "mean_token_accuracy": 0.17203340232372283,
+      "num_tokens": 7170085.0,
+      "step": 3935
+    },
+    {
+      "entropy": 5.590339422225952,
+      "epoch": 3.264291632145816,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004260445220556811,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.1736685037612915,
+      "num_tokens": 7179366.0,
+      "step": 3940
+    },
+    {
+      "entropy": 5.52174072265625,
+      "epoch": 3.2684341342170673,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00042580752188831376,
+      "loss": 5.2819,
+      "mean_token_accuracy": 0.17067586481571198,
+      "num_tokens": 7188342.0,
+      "step": 3945
+    },
+    {
+      "entropy": 5.556540441513062,
+      "epoch": 3.272576636288318,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004255702175256946,
+      "loss": 5.3095,
+      "mean_token_accuracy": 0.17531315684318544,
+      "num_tokens": 7197466.0,
+      "step": 3950
+    },
+    {
+      "entropy": 5.42687840461731,
+      "epoch": 3.276719138359569,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00042533260944649273,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17852312475442886,
+      "num_tokens": 7205462.0,
+      "step": 3955
+    },
+    {
+      "entropy": 5.424286890029907,
+      "epoch": 3.28086164043082,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004250946981299893,
+      "loss": 5.1838,
+      "mean_token_accuracy": 0.17682615667581558,
+      "num_tokens": 7215115.0,
+      "step": 3960
+    },
+    {
+      "entropy": 5.459038209915161,
+      "epoch": 3.2850041425020713,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00042485648405607776,
+      "loss": 5.1379,
+      "mean_token_accuracy": 0.17029522657394408,
+      "num_tokens": 7224909.0,
+      "step": 3965
+    },
+    {
+      "entropy": 5.392039203643799,
+      "epoch": 3.2891466445733224,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004246179677052617,
+      "loss": 5.0642,
+      "mean_token_accuracy": 0.18698266595602037,
+      "num_tokens": 7232946.0,
+      "step": 3970
+    },
+    {
+      "entropy": 5.362467432022095,
+      "epoch": 3.2932891466445735,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004243791495586547,
+      "loss": 5.1736,
+      "mean_token_accuracy": 0.17996304631233215,
+      "num_tokens": 7241104.0,
+      "step": 3975
+    },
+    {
+      "entropy": 5.567073392868042,
+      "epoch": 3.297431648715824,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004241400300979791,
+      "loss": 5.2257,
+      "mean_token_accuracy": 0.1786801502108574,
+      "num_tokens": 7250749.0,
+      "step": 3980
+    },
+    {
+      "entropy": 5.447740983963013,
+      "epoch": 3.3015741507870753,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004239006098055651,
+      "loss": 5.124,
+      "mean_token_accuracy": 0.1787547677755356,
+      "num_tokens": 7258687.0,
+      "step": 3985
+    },
+    {
+      "entropy": 5.41381049156189,
+      "epoch": 3.3057166528583264,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004236608891643494,
+      "loss": 5.1572,
+      "mean_token_accuracy": 0.17702401280403138,
+      "num_tokens": 7267316.0,
+      "step": 3990
+    },
+    {
+      "entropy": 5.448715782165527,
+      "epoch": 3.3098591549295775,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004234208686578748,
+      "loss": 5.1777,
+      "mean_token_accuracy": 0.17505329996347427,
+      "num_tokens": 7276734.0,
+      "step": 3995
+    },
+    {
+      "entropy": 5.440592193603516,
+      "epoch": 3.3140016570008286,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00042318054877028876,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17840310037136078,
+      "num_tokens": 7285916.0,
+      "step": 4000
+    },
+    {
+      "epoch": 3.3140016570008286,
+      "eval_entropy": 5.363256025416002,
+      "eval_loss": 5.893955707550049,
+      "eval_mean_token_accuracy": 0.15349840453819935,
+      "eval_num_tokens": 7285916.0,
+      "eval_runtime": 2.7471,
+      "eval_samples_per_second": 1363.961,
+      "eval_steps_per_second": 170.723,
+      "step": 4000
+    },
+    {
+      "entropy": 5.487448406219483,
+      "epoch": 3.3181441590720797,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042293992998634314,
+      "loss": 5.1667,
+      "mean_token_accuracy": 0.17779863625764847,
+      "num_tokens": 7294184.0,
+      "step": 4005
+    },
+    {
+      "entropy": 5.414953899383545,
+      "epoch": 3.3222866611433304,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004226990127913918,
+      "loss": 5.177,
+      "mean_token_accuracy": 0.1768763244152069,
+      "num_tokens": 7302647.0,
+      "step": 4010
+    },
+    {
+      "entropy": 5.442982530593872,
+      "epoch": 3.3264291632145815,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004224577976713915,
+      "loss": 5.2506,
+      "mean_token_accuracy": 0.16832198798656464,
+      "num_tokens": 7311455.0,
+      "step": 4015
+    },
+    {
+      "entropy": 5.609448575973511,
+      "epoch": 3.3305716652858326,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00042221628511289927,
+      "loss": 5.3136,
+      "mean_token_accuracy": 0.16625809520483018,
+      "num_tokens": 7320978.0,
+      "step": 4020
+    },
+    {
+      "entropy": 5.612923622131348,
+      "epoch": 3.3347141673570837,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004219744756030723,
+      "loss": 5.3273,
+      "mean_token_accuracy": 0.16872513592243193,
+      "num_tokens": 7330202.0,
+      "step": 4025
+    },
+    {
+      "entropy": 5.4015247344970705,
+      "epoch": 3.338856669428335,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00042173236962966706,
+      "loss": 5.1649,
+      "mean_token_accuracy": 0.17969190180301667,
+      "num_tokens": 7339121.0,
+      "step": 4030
+    },
+    {
+      "entropy": 5.492907905578614,
+      "epoch": 3.342999171499586,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004214899676810375,
+      "loss": 5.2251,
+      "mean_token_accuracy": 0.1665240079164505,
+      "num_tokens": 7348631.0,
+      "step": 4035
+    },
+    {
+      "entropy": 5.469464063644409,
+      "epoch": 3.347141673570837,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004212472702461348,
+      "loss": 5.1843,
+      "mean_token_accuracy": 0.1820875510573387,
+      "num_tokens": 7358354.0,
+      "step": 4040
+    },
+    {
+      "entropy": 5.454071807861328,
+      "epoch": 3.3512841756420877,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004210042778145064,
+      "loss": 5.2038,
+      "mean_token_accuracy": 0.17285584658384323,
+      "num_tokens": 7367031.0,
+      "step": 4045
+    },
+    {
+      "entropy": 5.436822319030762,
+      "epoch": 3.355426677713339,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00042076099087629443,
+      "loss": 5.2025,
+      "mean_token_accuracy": 0.1784903883934021,
+      "num_tokens": 7375996.0,
+      "step": 4050
+    },
+    {
+      "entropy": 5.552537536621093,
+      "epoch": 3.35956917978459,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00042051740992223534,
+      "loss": 5.2567,
+      "mean_token_accuracy": 0.16439318358898164,
+      "num_tokens": 7385355.0,
+      "step": 4055
+    },
+    {
+      "entropy": 5.402252960205078,
+      "epoch": 3.363711681855841,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004202735354436586,
+      "loss": 5.0999,
+      "mean_token_accuracy": 0.1792566418647766,
+      "num_tokens": 7394384.0,
+      "step": 4060
+    },
+    {
+      "entropy": 5.511481237411499,
+      "epoch": 3.367854183927092,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00042002936793248546,
+      "loss": 5.2458,
+      "mean_token_accuracy": 0.1770971804857254,
+      "num_tokens": 7403141.0,
+      "step": 4065
+    },
+    {
+      "entropy": 5.508409786224365,
+      "epoch": 3.371996685998343,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004197849078812286,
+      "loss": 5.199,
+      "mean_token_accuracy": 0.1739865079522133,
+      "num_tokens": 7413331.0,
+      "step": 4070
+    },
+    {
+      "entropy": 5.471702003479004,
+      "epoch": 3.376139188069594,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004195401557829907,
+      "loss": 5.2368,
+      "mean_token_accuracy": 0.17052597552537918,
+      "num_tokens": 7422362.0,
+      "step": 4075
+    },
+    {
+      "entropy": 5.4563977241516115,
+      "epoch": 3.380281690140845,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041929511213146343,
+      "loss": 5.1661,
+      "mean_token_accuracy": 0.18033864200115204,
+      "num_tokens": 7431350.0,
+      "step": 4080
+    },
+    {
+      "entropy": 5.4815953254699705,
+      "epoch": 3.384424192212096,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004190497774209266,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.1800685152411461,
+      "num_tokens": 7440382.0,
+      "step": 4085
+    },
+    {
+      "entropy": 5.51438536643982,
+      "epoch": 3.3885666942833472,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00041880415214624715,
+      "loss": 5.2355,
+      "mean_token_accuracy": 0.17847414761781694,
+      "num_tokens": 7449357.0,
+      "step": 4090
+    },
+    {
+      "entropy": 5.463125705718994,
+      "epoch": 3.3927091963545983,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004185582368028781,
+      "loss": 5.1468,
+      "mean_token_accuracy": 0.1853232800960541,
+      "num_tokens": 7457544.0,
+      "step": 4095
+    },
+    {
+      "entropy": 5.409591102600098,
+      "epoch": 3.3968516984258494,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004183120318868577,
+      "loss": 5.1616,
+      "mean_token_accuracy": 0.18774343580007552,
+      "num_tokens": 7465915.0,
+      "step": 4100
+    },
+    {
+      "entropy": 5.435869741439819,
+      "epoch": 3.4009942004971,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00041806553789480787,
+      "loss": 5.1161,
+      "mean_token_accuracy": 0.1833360970020294,
+      "num_tokens": 7474551.0,
+      "step": 4105
+    },
+    {
+      "entropy": 5.507905626296997,
+      "epoch": 3.405136702568351,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00041781875532393423,
+      "loss": 5.2287,
+      "mean_token_accuracy": 0.17473389357328414,
+      "num_tokens": 7483271.0,
+      "step": 4110
+    },
+    {
+      "entropy": 5.474280261993409,
+      "epoch": 3.4092792046396023,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00041757168467202404,
+      "loss": 5.2371,
+      "mean_token_accuracy": 0.17051266878843307,
+      "num_tokens": 7493179.0,
+      "step": 4115
+    },
+    {
+      "entropy": 5.47375521659851,
+      "epoch": 3.4134217067108534,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00041732432643744576,
+      "loss": 5.2132,
+      "mean_token_accuracy": 0.17562344074249267,
+      "num_tokens": 7501858.0,
+      "step": 4120
+    },
+    {
+      "entropy": 5.562008953094482,
+      "epoch": 3.4175642087821045,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004170766811191481,
+      "loss": 5.282,
+      "mean_token_accuracy": 0.16895801872014998,
+      "num_tokens": 7511817.0,
+      "step": 4125
+    },
+    {
+      "entropy": 5.3949895858764645,
+      "epoch": 3.421706710853355,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.0004168287492166587,
+      "loss": 5.2513,
+      "mean_token_accuracy": 0.175115604698658,
+      "num_tokens": 7521655.0,
+      "step": 4130
+    },
+    {
+      "entropy": 5.478516006469727,
+      "epoch": 3.4258492129246063,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041658053123008325,
+      "loss": 5.2289,
+      "mean_token_accuracy": 0.17174260020256044,
+      "num_tokens": 7531321.0,
+      "step": 4135
+    },
+    {
+      "entropy": 5.469200515747071,
+      "epoch": 3.4299917149958574,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004163320276601046,
+      "loss": 5.2104,
+      "mean_token_accuracy": 0.17538849860429764,
+      "num_tokens": 7540613.0,
+      "step": 4140
+    },
+    {
+      "entropy": 5.478423690795898,
+      "epoch": 3.4341342170671085,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004160832390079816,
+      "loss": 5.2823,
+      "mean_token_accuracy": 0.17514234632253647,
+      "num_tokens": 7549598.0,
+      "step": 4145
+    },
+    {
+      "entropy": 5.449503993988037,
+      "epoch": 3.4382767191383596,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00041583416577554815,
+      "loss": 5.1509,
+      "mean_token_accuracy": 0.18169643133878707,
+      "num_tokens": 7558738.0,
+      "step": 4150
+    },
+    {
+      "entropy": 5.454873323440552,
+      "epoch": 3.4424192212096107,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041558480846521213,
+      "loss": 5.1996,
+      "mean_token_accuracy": 0.17627429366111755,
+      "num_tokens": 7566873.0,
+      "step": 4155
+    },
+    {
+      "entropy": 5.413073778152466,
+      "epoch": 3.446561723280862,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041533516757995455,
+      "loss": 5.18,
+      "mean_token_accuracy": 0.1794169783592224,
+      "num_tokens": 7576645.0,
+      "step": 4160
+    },
+    {
+      "entropy": 5.449489498138428,
+      "epoch": 3.4507042253521125,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004150852436233283,
+      "loss": 5.1844,
+      "mean_token_accuracy": 0.17338148206472398,
+      "num_tokens": 7584854.0,
+      "step": 4165
+    },
+    {
+      "entropy": 5.500524044036865,
+      "epoch": 3.4548467274233636,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004148350370994574,
+      "loss": 5.3142,
+      "mean_token_accuracy": 0.16781232208013536,
+      "num_tokens": 7594022.0,
+      "step": 4170
+    },
+    {
+      "entropy": 5.458495187759399,
+      "epoch": 3.4589892294946147,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004145845485130357,
+      "loss": 5.1757,
+      "mean_token_accuracy": 0.17461147904396057,
+      "num_tokens": 7603259.0,
+      "step": 4175
+    },
+    {
+      "entropy": 5.453242301940918,
+      "epoch": 3.463131731565866,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00041433377836932594,
+      "loss": 5.2853,
+      "mean_token_accuracy": 0.1680028423666954,
+      "num_tokens": 7613451.0,
+      "step": 4180
+    },
+    {
+      "entropy": 5.533868455886841,
+      "epoch": 3.467274233637117,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00041408272717415913,
+      "loss": 5.245,
+      "mean_token_accuracy": 0.17225596755743028,
+      "num_tokens": 7622218.0,
+      "step": 4185
+    },
+    {
+      "entropy": 5.351213121414185,
+      "epoch": 3.4714167357083676,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004138313954339327,
+      "loss": 5.104,
+      "mean_token_accuracy": 0.17463669180870056,
+      "num_tokens": 7630508.0,
+      "step": 4190
+    },
+    {
+      "entropy": 5.488496780395508,
+      "epoch": 3.4755592377796187,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004135797836556106,
+      "loss": 5.1982,
+      "mean_token_accuracy": 0.181541608273983,
+      "num_tokens": 7640141.0,
+      "step": 4195
+    },
+    {
+      "entropy": 5.459699392318726,
+      "epoch": 3.47970173985087,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041332789234672094,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1721531167626381,
+      "num_tokens": 7648764.0,
+      "step": 4200
+    },
+    {
+      "entropy": 5.406872129440307,
+      "epoch": 3.483844241922121,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004130757220153561,
+      "loss": 5.1952,
+      "mean_token_accuracy": 0.18173792064189911,
+      "num_tokens": 7658642.0,
+      "step": 4205
+    },
+    {
+      "entropy": 5.544135618209839,
+      "epoch": 3.487986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004128232731701712,
+      "loss": 5.377,
+      "mean_token_accuracy": 0.16519460082054138,
+      "num_tokens": 7667524.0,
+      "step": 4210
+    },
+    {
+      "entropy": 5.488169002532959,
+      "epoch": 3.492129246064623,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004125705463203833,
+      "loss": 5.1928,
+      "mean_token_accuracy": 0.18297115415334703,
+      "num_tokens": 7675800.0,
+      "step": 4215
+    },
+    {
+      "entropy": 5.490040969848633,
+      "epoch": 3.4962717481358743,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041231754197576986,
+      "loss": 5.2252,
+      "mean_token_accuracy": 0.1757526621222496,
+      "num_tokens": 7683742.0,
+      "step": 4220
+    },
+    {
+      "entropy": 5.468280076980591,
+      "epoch": 3.5004142502071254,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004120642606466685,
+      "loss": 5.2278,
+      "mean_token_accuracy": 0.1796238511800766,
+      "num_tokens": 7692379.0,
+      "step": 4225
+    },
+    {
+      "entropy": 5.494374942779541,
+      "epoch": 3.504556752278376,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004118107028439751,
+      "loss": 5.2138,
+      "mean_token_accuracy": 0.17588699012994766,
+      "num_tokens": 7702156.0,
+      "step": 4230
+    },
+    {
+      "entropy": 5.467664003372192,
+      "epoch": 3.508699254349627,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00041155686907914365,
+      "loss": 5.2275,
+      "mean_token_accuracy": 0.1754150867462158,
+      "num_tokens": 7712135.0,
+      "step": 4235
+    },
+    {
+      "entropy": 5.451332426071167,
+      "epoch": 3.5128417564208783,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004113027598641845,
+      "loss": 5.1785,
+      "mean_token_accuracy": 0.1752738744020462,
+      "num_tokens": 7721347.0,
+      "step": 4240
+    },
+    {
+      "entropy": 5.471200275421142,
+      "epoch": 3.5169842584921294,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004110483757116637,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.1789921909570694,
+      "num_tokens": 7731351.0,
+      "step": 4245
+    },
+    {
+      "entropy": 5.433224248886108,
+      "epoch": 3.52112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00041079371713470195,
+      "loss": 5.0996,
+      "mean_token_accuracy": 0.18778069019317628,
+      "num_tokens": 7740413.0,
+      "step": 4250
+    },
+    {
+      "entropy": 5.416608476638794,
+      "epoch": 3.525269262634631,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041053878464697343,
+      "loss": 5.1977,
+      "mean_token_accuracy": 0.18009850829839708,
+      "num_tokens": 7749319.0,
+      "step": 4255
+    },
+    {
+      "entropy": 5.519042015075684,
+      "epoch": 3.5294117647058822,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004102835787627047,
+      "loss": 5.2446,
+      "mean_token_accuracy": 0.17312991321086885,
+      "num_tokens": 7757936.0,
+      "step": 4260
+    },
+    {
+      "entropy": 5.542943048477173,
+      "epoch": 3.5335542667771334,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004100280999966741,
+      "loss": 5.3083,
+      "mean_token_accuracy": 0.17331433892250062,
+      "num_tokens": 7767349.0,
+      "step": 4265
+    },
+    {
+      "entropy": 5.4042651653289795,
+      "epoch": 3.5376967688483845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00040977234886421007,
+      "loss": 5.1133,
+      "mean_token_accuracy": 0.17731781899929047,
+      "num_tokens": 7776448.0,
+      "step": 4270
+    },
+    {
+      "entropy": 5.4222177028656,
+      "epoch": 3.5418392709196356,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040951632588119064,
+      "loss": 5.209,
+      "mean_token_accuracy": 0.17401482313871383,
+      "num_tokens": 7785768.0,
+      "step": 4275
+    },
+    {
+      "entropy": 5.600345802307129,
+      "epoch": 3.5459817729908867,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004092600315640422,
+      "loss": 5.2999,
+      "mean_token_accuracy": 0.1715576618909836,
+      "num_tokens": 7794803.0,
+      "step": 4280
+    },
+    {
+      "entropy": 5.411063814163208,
+      "epoch": 3.550124275062138,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004090034664297382,
+      "loss": 5.157,
+      "mean_token_accuracy": 0.17963247746229172,
+      "num_tokens": 7803533.0,
+      "step": 4285
+    },
+    {
+      "entropy": 5.421855831146241,
+      "epoch": 3.5542667771333885,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00040874663099579883,
+      "loss": 5.2246,
+      "mean_token_accuracy": 0.1706953912973404,
+      "num_tokens": 7812854.0,
+      "step": 4290
+    },
+    {
+      "entropy": 5.49954047203064,
+      "epoch": 3.5584092792046396,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040848952578028915,
+      "loss": 5.1628,
+      "mean_token_accuracy": 0.174958436191082,
+      "num_tokens": 7821683.0,
+      "step": 4295
+    },
+    {
+      "entropy": 5.501424264907837,
+      "epoch": 3.5625517812758907,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004082321513018183,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.18335361480712892,
+      "num_tokens": 7830967.0,
+      "step": 4300
+    },
+    {
+      "entropy": 5.48747296333313,
+      "epoch": 3.566694283347142,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00040797450807953897,
+      "loss": 5.2159,
+      "mean_token_accuracy": 0.17444179207086563,
+      "num_tokens": 7841179.0,
+      "step": 4305
+    },
+    {
+      "entropy": 5.489819192886353,
+      "epoch": 3.5708367854183924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004077165966331454,
+      "loss": 5.1587,
+      "mean_token_accuracy": 0.1852751389145851,
+      "num_tokens": 7849841.0,
+      "step": 4310
+    },
+    {
+      "entropy": 5.301797342300415,
+      "epoch": 3.5749792874896436,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004074584174828735,
+      "loss": 5.2184,
+      "mean_token_accuracy": 0.1747626096010208,
+      "num_tokens": 7859390.0,
+      "step": 4315
+    },
+    {
+      "entropy": 5.493851947784424,
+      "epoch": 3.5791217895608947,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040719997114949856,
+      "loss": 5.1913,
+      "mean_token_accuracy": 0.17565421015024185,
+      "num_tokens": 7868848.0,
+      "step": 4320
+    },
+    {
+      "entropy": 5.506833124160766,
+      "epoch": 3.5832642916321458,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040694125815433533,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.18058759868144988,
+      "num_tokens": 7877521.0,
+      "step": 4325
+    },
+    {
+      "entropy": 5.488465976715088,
+      "epoch": 3.587406793703397,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004066822790192359,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.17181889414787294,
+      "num_tokens": 7886355.0,
+      "step": 4330
+    },
+    {
+      "entropy": 5.437413024902344,
+      "epoch": 3.591549295774648,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00040642303426658967,
+      "loss": 5.2518,
+      "mean_token_accuracy": 0.17224401384592056,
+      "num_tokens": 7895028.0,
+      "step": 4335
+    },
+    {
+      "entropy": 5.379445266723633,
+      "epoch": 3.595691797845899,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040616352441932163,
+      "loss": 5.1282,
+      "mean_token_accuracy": 0.17695483118295668,
+      "num_tokens": 7904192.0,
+      "step": 4340
+    },
+    {
+      "entropy": 5.439553546905517,
+      "epoch": 3.59983429991715,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00040590375000089146,
+      "loss": 5.2066,
+      "mean_token_accuracy": 0.17032651007175445,
+      "num_tokens": 7912328.0,
+      "step": 4345
+    },
+    {
+      "entropy": 5.5121315002441404,
+      "epoch": 3.603976801988401,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00040564371153529256,
+      "loss": 5.2517,
+      "mean_token_accuracy": 0.1720314145088196,
+      "num_tokens": 7922594.0,
+      "step": 4350
+    },
+    {
+      "entropy": 5.450373315811158,
+      "epoch": 3.608119304059652,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004053834095470509,
+      "loss": 5.2201,
+      "mean_token_accuracy": 0.16222715824842454,
+      "num_tokens": 7932345.0,
+      "step": 4355
+    },
+    {
+      "entropy": 5.505369853973389,
+      "epoch": 3.612261806130903,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00040512284456122407,
+      "loss": 5.2236,
+      "mean_token_accuracy": 0.17660728394985198,
+      "num_tokens": 7942800.0,
+      "step": 4360
+    },
+    {
+      "entropy": 5.410261583328247,
+      "epoch": 3.616404308202154,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00040486201710340016,
+      "loss": 5.1287,
+      "mean_token_accuracy": 0.1859680861234665,
+      "num_tokens": 7951094.0,
+      "step": 4365
+    },
+    {
+      "entropy": 5.429905796051026,
+      "epoch": 3.6205468102734053,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040460092769969654,
+      "loss": 5.1947,
+      "mean_token_accuracy": 0.17089750617742538,
+      "num_tokens": 7960652.0,
+      "step": 4370
+    },
+    {
+      "entropy": 5.518308162689209,
+      "epoch": 3.624689312344656,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004043395768767592,
+      "loss": 5.2977,
+      "mean_token_accuracy": 0.16983983814716339,
+      "num_tokens": 7969350.0,
+      "step": 4375
+    },
+    {
+      "entropy": 5.475090789794922,
+      "epoch": 3.628831814415907,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004040779651617612,
+      "loss": 5.1831,
+      "mean_token_accuracy": 0.1762356474995613,
+      "num_tokens": 7978969.0,
+      "step": 4380
+    },
+    {
+      "entropy": 5.422111892700196,
+      "epoch": 3.632974316487158,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040381609308240207,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.1777448311448097,
+      "num_tokens": 7988531.0,
+      "step": 4385
+    },
+    {
+      "entropy": 5.423072242736817,
+      "epoch": 3.6371168185584093,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040355396116690634,
+      "loss": 5.1864,
+      "mean_token_accuracy": 0.17186058908700944,
+      "num_tokens": 7996576.0,
+      "step": 4390
+    },
+    {
+      "entropy": 5.435235500335693,
+      "epoch": 3.6412593206296604,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004032915699440227,
+      "loss": 5.2216,
+      "mean_token_accuracy": 0.17088689655065536,
+      "num_tokens": 8006279.0,
+      "step": 4395
+    },
+    {
+      "entropy": 5.496079921722412,
+      "epoch": 3.6454018227009115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000403028919943023,
+      "loss": 5.2049,
+      "mean_token_accuracy": 0.17314011603593826,
+      "num_tokens": 8015476.0,
+      "step": 4400
+    },
+    {
+      "entropy": 5.474205350875854,
+      "epoch": 3.6495443247721626,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004027660116937009,
+      "loss": 5.2326,
+      "mean_token_accuracy": 0.17077937126159667,
+      "num_tokens": 8025450.0,
+      "step": 4405
+    },
+    {
+      "entropy": 5.4402251720428465,
+      "epoch": 3.6536868268434133,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004025028457263712,
+      "loss": 5.2238,
+      "mean_token_accuracy": 0.17810273319482803,
+      "num_tokens": 8034850.0,
+      "step": 4410
+    },
+    {
+      "entropy": 5.3980237483978275,
+      "epoch": 3.6578293289146644,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004022394225718684,
+      "loss": 5.1709,
+      "mean_token_accuracy": 0.17368220686912536,
+      "num_tokens": 8044526.0,
+      "step": 4415
+    },
+    {
+      "entropy": 5.446775197982788,
+      "epoch": 3.6619718309859155,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004019757427615456,
+      "loss": 5.1341,
+      "mean_token_accuracy": 0.17317759096622468,
+      "num_tokens": 8054033.0,
+      "step": 4420
+    },
+    {
+      "entropy": 5.478370094299317,
+      "epoch": 3.6661143330571666,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0004017118068272739,
+      "loss": 5.2298,
+      "mean_token_accuracy": 0.17926038503646852,
+      "num_tokens": 8063535.0,
+      "step": 4425
+    },
+    {
+      "entropy": 5.495908880233765,
+      "epoch": 3.6702568351284177,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040144761530144096,
+      "loss": 5.2181,
+      "mean_token_accuracy": 0.18870080262422562,
+      "num_tokens": 8073079.0,
+      "step": 4430
+    },
+    {
+      "entropy": 5.367459678649903,
+      "epoch": 3.6743993371996684,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00040118316871695,
+      "loss": 5.1505,
+      "mean_token_accuracy": 0.18230827152729034,
+      "num_tokens": 8082925.0,
+      "step": 4435
+    },
+    {
+      "entropy": 5.457099437713623,
+      "epoch": 3.6785418392709195,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040091846760721857,
+      "loss": 5.2466,
+      "mean_token_accuracy": 0.17278454601764678,
+      "num_tokens": 8092038.0,
+      "step": 4440
+    },
+    {
+      "entropy": 5.460009002685547,
+      "epoch": 3.6826843413421706,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040065351250617774,
+      "loss": 5.2137,
+      "mean_token_accuracy": 0.1679331600666046,
+      "num_tokens": 8101581.0,
+      "step": 4445
+    },
+    {
+      "entropy": 5.392482471466065,
+      "epoch": 3.6868268434134217,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00040038830394827107,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.17032679468393325,
+      "num_tokens": 8111392.0,
+      "step": 4450
+    },
+    {
+      "entropy": 5.5369532108306885,
+      "epoch": 3.690969345484673,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000400122842468453,
+      "loss": 5.2742,
+      "mean_token_accuracy": 0.16916199624538422,
+      "num_tokens": 8120941.0,
+      "step": 4455
+    },
+    {
+      "entropy": 5.403111267089844,
+      "epoch": 3.695111847555924,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003998571286021884,
+      "loss": 5.1822,
+      "mean_token_accuracy": 0.1721450611948967,
+      "num_tokens": 8129983.0,
+      "step": 4460
+    },
+    {
+      "entropy": 5.482623481750489,
+      "epoch": 3.699254349627175,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003995911628854512,
+      "loss": 5.3064,
+      "mean_token_accuracy": 0.1740827202796936,
+      "num_tokens": 8139428.0,
+      "step": 4465
+    },
+    {
+      "entropy": 5.509563970565796,
+      "epoch": 3.7033968516984257,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003993249458547234,
+      "loss": 5.2302,
+      "mean_token_accuracy": 0.16980735808610917,
+      "num_tokens": 8148520.0,
+      "step": 4470
+    },
+    {
+      "entropy": 5.3746521949768065,
+      "epoch": 3.707539353769677,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039905847804699363,
+      "loss": 5.0676,
+      "mean_token_accuracy": 0.18766331672668457,
+      "num_tokens": 8156908.0,
+      "step": 4475
+    },
+    {
+      "entropy": 5.446433591842651,
+      "epoch": 3.711681855840928,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00039879175999975677,
+      "loss": 5.2156,
+      "mean_token_accuracy": 0.18001207262277602,
+      "num_tokens": 8165677.0,
+      "step": 4480
+    },
+    {
+      "entropy": 5.386814975738526,
+      "epoch": 3.715824357912179,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00039852479225101217,
+      "loss": 5.1883,
+      "mean_token_accuracy": 0.17356531620025634,
+      "num_tokens": 8174786.0,
+      "step": 4485
+    },
+    {
+      "entropy": 5.454575872421264,
+      "epoch": 3.71996685998343,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00039825757533926305,
+      "loss": 5.2484,
+      "mean_token_accuracy": 0.16340016275644303,
+      "num_tokens": 8184150.0,
+      "step": 4490
+    },
+    {
+      "entropy": 5.4400050163269045,
+      "epoch": 3.724109362054681,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039799010980351494,
+      "loss": 5.1455,
+      "mean_token_accuracy": 0.1879016414284706,
+      "num_tokens": 8192257.0,
+      "step": 4495
+    },
+    {
+      "entropy": 5.452324247360229,
+      "epoch": 3.728251864125932,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00039772239618327535,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.1748780906200409,
+      "num_tokens": 8201041.0,
+      "step": 4500
+    },
+    {
+      "epoch": 3.728251864125932,
+      "eval_entropy": 5.297962182620441,
+      "eval_loss": 5.854063987731934,
+      "eval_mean_token_accuracy": 0.15576711011085428,
+      "eval_num_tokens": 8201041.0,
+      "eval_runtime": 2.7449,
+      "eval_samples_per_second": 1365.057,
+      "eval_steps_per_second": 170.86,
+      "step": 4500
+    },
+    {
+      "entropy": 5.430630874633789,
+      "epoch": 3.732394366197183,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00039745443501855156,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18020173758268357,
+      "num_tokens": 8209881.0,
+      "step": 4505
+    },
+    {
+      "entropy": 5.426507759094238,
+      "epoch": 3.736536868268434,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039718622684985075,
+      "loss": 5.2198,
+      "mean_token_accuracy": 0.1857784554362297,
+      "num_tokens": 8218504.0,
+      "step": 4510
+    },
+    {
+      "entropy": 5.427436780929566,
+      "epoch": 3.7406793703396852,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000396917772218178,
+      "loss": 5.0397,
+      "mean_token_accuracy": 0.19483556151390075,
+      "num_tokens": 8226785.0,
+      "step": 4515
+    },
+    {
+      "entropy": 5.463036251068115,
+      "epoch": 3.7448218724109363,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0003966490716650357,
+      "loss": 5.1879,
+      "mean_token_accuracy": 0.1808652698993683,
+      "num_tokens": 8236092.0,
+      "step": 4520
+    },
+    {
+      "entropy": 5.398115777969361,
+      "epoch": 3.7489643744821874,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039638012573242225,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18426763266324997,
+      "num_tokens": 8245297.0,
+      "step": 4525
+    },
+    {
+      "entropy": 5.498414611816406,
+      "epoch": 3.7531068765534386,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003961109349628309,
+      "loss": 5.2544,
+      "mean_token_accuracy": 0.16994525790214537,
+      "num_tokens": 8254772.0,
+      "step": 4530
+    },
+    {
+      "entropy": 5.488787031173706,
+      "epoch": 3.757249378624689,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000395841499899249,
+      "loss": 5.3168,
+      "mean_token_accuracy": 0.1684611275792122,
+      "num_tokens": 8264310.0,
+      "step": 4535
+    },
+    {
+      "entropy": 5.4844201564788815,
+      "epoch": 3.7613918806959403,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00039557182108515624,
+      "loss": 5.2197,
+      "mean_token_accuracy": 0.1802253693342209,
+      "num_tokens": 8274184.0,
+      "step": 4540
+    },
+    {
+      "entropy": 5.40406289100647,
+      "epoch": 3.7655343827671914,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039530189906452457,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.18066346347332002,
+      "num_tokens": 8283151.0,
+      "step": 4545
+    },
+    {
+      "entropy": 5.490919494628907,
+      "epoch": 3.7696768848384425,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00039503173438181605,
+      "loss": 5.2375,
+      "mean_token_accuracy": 0.16958207488059998,
+      "num_tokens": 8292574.0,
+      "step": 4550
+    },
+    {
+      "entropy": 5.37688570022583,
+      "epoch": 3.773819386909693,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039476132758198236,
+      "loss": 5.1589,
+      "mean_token_accuracy": 0.17906700521707536,
+      "num_tokens": 8301281.0,
+      "step": 4555
+    },
+    {
+      "entropy": 5.404768991470337,
+      "epoch": 3.7779618889809443,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039449067921046353,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.184201979637146,
+      "num_tokens": 8310201.0,
+      "step": 4560
+    },
+    {
+      "entropy": 5.5153802871704105,
+      "epoch": 3.7821043910521954,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00039421978981318703,
+      "loss": 5.243,
+      "mean_token_accuracy": 0.17428653091192245,
+      "num_tokens": 8320369.0,
+      "step": 4565
+    },
+    {
+      "entropy": 5.490174674987793,
+      "epoch": 3.7862468931234465,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00039394865993656625,
+      "loss": 5.2332,
+      "mean_token_accuracy": 0.17829314470291138,
+      "num_tokens": 8329519.0,
+      "step": 4570
+    },
+    {
+      "entropy": 5.4183516025543215,
+      "epoch": 3.7903893951946976,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003936772901274999,
+      "loss": 5.2233,
+      "mean_token_accuracy": 0.16786337196826934,
+      "num_tokens": 8338282.0,
+      "step": 4575
+    },
+    {
+      "entropy": 5.422275066375732,
+      "epoch": 3.7945318972659487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003934056809333705,
+      "loss": 5.2367,
+      "mean_token_accuracy": 0.1760738953948021,
+      "num_tokens": 8346861.0,
+      "step": 4580
+    },
+    {
+      "entropy": 5.493864250183106,
+      "epoch": 3.7986743993372,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039313383290204333,
+      "loss": 5.2689,
+      "mean_token_accuracy": 0.16675272732973098,
+      "num_tokens": 8356078.0,
+      "step": 4585
+    },
+    {
+      "entropy": 5.449766826629639,
+      "epoch": 3.802816901408451,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003928617465818658,
+      "loss": 5.2279,
+      "mean_token_accuracy": 0.16728012412786483,
+      "num_tokens": 8365487.0,
+      "step": 4590
+    },
+    {
+      "entropy": 5.477828598022461,
+      "epoch": 3.8069594034797016,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00039258942252166554,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.17344195693731307,
+      "num_tokens": 8374622.0,
+      "step": 4595
+    },
+    {
+      "entropy": 5.467281007766724,
+      "epoch": 3.8111019055509527,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003923168612707502,
+      "loss": 5.1437,
+      "mean_token_accuracy": 0.1838704138994217,
+      "num_tokens": 8383312.0,
+      "step": 4600
+    },
+    {
+      "entropy": 5.375951862335205,
+      "epoch": 3.815244407622204,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003920440633789053,
+      "loss": 5.1668,
+      "mean_token_accuracy": 0.17426021844148637,
+      "num_tokens": 8391987.0,
+      "step": 4605
+    },
+    {
+      "entropy": 5.411648225784302,
+      "epoch": 3.819386909693455,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039177102939639424,
+      "loss": 5.1782,
+      "mean_token_accuracy": 0.17309755831956863,
+      "num_tokens": 8401263.0,
+      "step": 4610
+    },
+    {
+      "entropy": 5.520602798461914,
+      "epoch": 3.8235294117647056,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003914977598739563,
+      "loss": 5.1998,
+      "mean_token_accuracy": 0.18663258850574493,
+      "num_tokens": 8410110.0,
+      "step": 4615
+    },
+    {
+      "entropy": 5.505752420425415,
+      "epoch": 3.8276719138359567,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003912242553628059,
+      "loss": 5.2827,
+      "mean_token_accuracy": 0.16937017440795898,
+      "num_tokens": 8419321.0,
+      "step": 4620
+    },
+    {
+      "entropy": 5.470319938659668,
+      "epoch": 3.831814415907208,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003909505164146318,
+      "loss": 5.2512,
+      "mean_token_accuracy": 0.17635022550821305,
+      "num_tokens": 8428376.0,
+      "step": 4625
+    },
+    {
+      "entropy": 5.446829080581665,
+      "epoch": 3.835956917978459,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000390676543581595,
+      "loss": 5.1826,
+      "mean_token_accuracy": 0.1743323564529419,
+      "num_tokens": 8437263.0,
+      "step": 4630
+    },
+    {
+      "entropy": 5.361465311050415,
+      "epoch": 3.84009942004971,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003904023374163289,
+      "loss": 5.1943,
+      "mean_token_accuracy": 0.17949013262987137,
+      "num_tokens": 8445889.0,
+      "step": 4635
+    },
+    {
+      "entropy": 5.503735971450806,
+      "epoch": 3.844241922120961,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003901278984719372,
+      "loss": 5.3739,
+      "mean_token_accuracy": 0.16415481567382811,
+      "num_tokens": 8456086.0,
+      "step": 4640
+    },
+    {
+      "entropy": 5.492273569107056,
+      "epoch": 3.8483844241922123,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00038985322730199326,
+      "loss": 5.2018,
+      "mean_token_accuracy": 0.1795567825436592,
+      "num_tokens": 8465150.0,
+      "step": 4645
+    },
+    {
+      "entropy": 5.431647396087646,
+      "epoch": 3.8525269262634634,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003895783244605389,
+      "loss": 5.2783,
+      "mean_token_accuracy": 0.1720671087503433,
+      "num_tokens": 8474172.0,
+      "step": 4650
+    },
+    {
+      "entropy": 5.404905462265015,
+      "epoch": 3.856669428334714,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00038930319050208315,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.18708953112363816,
+      "num_tokens": 8483636.0,
+      "step": 4655
+    },
+    {
+      "entropy": 5.408392810821534,
+      "epoch": 3.860811930405965,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00038902782598160127,
+      "loss": 5.1091,
+      "mean_token_accuracy": 0.1881578117609024,
+      "num_tokens": 8491560.0,
+      "step": 4660
+    },
+    {
+      "entropy": 5.484521150588989,
+      "epoch": 3.8649544324772163,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00038875223145453346,
+      "loss": 5.4046,
+      "mean_token_accuracy": 0.17662398070096968,
+      "num_tokens": 8501685.0,
+      "step": 4665
+    },
+    {
+      "entropy": 5.551066589355469,
+      "epoch": 3.8690969345484674,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003884764074767842,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.17176942974328996,
+      "num_tokens": 8510580.0,
+      "step": 4670
+    },
+    {
+      "entropy": 5.477302551269531,
+      "epoch": 3.873239436619718,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003882003546047205,
+      "loss": 5.2013,
+      "mean_token_accuracy": 0.17522621154785156,
+      "num_tokens": 8519595.0,
+      "step": 4675
+    },
+    {
+      "entropy": 5.506098508834839,
+      "epoch": 3.877381938690969,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00038792407339517123,
+      "loss": 5.2786,
+      "mean_token_accuracy": 0.17400375306606292,
+      "num_tokens": 8529118.0,
+      "step": 4680
+    },
+    {
+      "entropy": 5.507658243179321,
+      "epoch": 3.8815244407622203,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00038764756440542574,
+      "loss": 5.2477,
+      "mean_token_accuracy": 0.17185091674327851,
+      "num_tokens": 8539322.0,
+      "step": 4685
+    },
+    {
+      "entropy": 5.454025650024414,
+      "epoch": 3.8856669428334714,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038737082819323285,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.17740404605865479,
+      "num_tokens": 8548707.0,
+      "step": 4690
+    },
+    {
+      "entropy": 5.427890157699585,
+      "epoch": 3.8898094449047225,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00038709386531679974,
+      "loss": 5.2576,
+      "mean_token_accuracy": 0.1718251511454582,
+      "num_tokens": 8557500.0,
+      "step": 4695
+    },
+    {
+      "entropy": 5.436252593994141,
+      "epoch": 3.8939519469759736,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00038681667633479086,
+      "loss": 5.2621,
+      "mean_token_accuracy": 0.1682343602180481,
+      "num_tokens": 8567465.0,
+      "step": 4700
+    },
+    {
+      "entropy": 5.381856250762939,
+      "epoch": 3.8980944490472247,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038653926180632665,
+      "loss": 5.1165,
+      "mean_token_accuracy": 0.18321423530578612,
+      "num_tokens": 8576680.0,
+      "step": 4705
+    },
+    {
+      "entropy": 5.495894527435302,
+      "epoch": 3.902236951118476,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00038626162229098257,
+      "loss": 5.2631,
+      "mean_token_accuracy": 0.16617788672447203,
+      "num_tokens": 8585539.0,
+      "step": 4710
+    },
+    {
+      "entropy": 5.400326347351074,
+      "epoch": 3.9063794531897265,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003859837583487877,
+      "loss": 5.1007,
+      "mean_token_accuracy": 0.18613590002059938,
+      "num_tokens": 8593598.0,
+      "step": 4715
+    },
+    {
+      "entropy": 5.4148589134216305,
+      "epoch": 3.9105219552609776,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003857056705402241,
+      "loss": 5.236,
+      "mean_token_accuracy": 0.1721765860915184,
+      "num_tokens": 8603440.0,
+      "step": 4720
+    },
+    {
+      "entropy": 5.384281969070434,
+      "epoch": 3.9146644573322287,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003854273594262253,
+      "loss": 5.0591,
+      "mean_token_accuracy": 0.1858549162745476,
+      "num_tokens": 8612490.0,
+      "step": 4725
+    },
+    {
+      "entropy": 5.387153816223145,
+      "epoch": 3.91880695940348,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003851488255681752,
+      "loss": 5.1508,
+      "mean_token_accuracy": 0.17980385273694993,
+      "num_tokens": 8621994.0,
+      "step": 4730
+    },
+    {
+      "entropy": 5.462166833877563,
+      "epoch": 3.922949461474731,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000384870069527907,
+      "loss": 5.2269,
+      "mean_token_accuracy": 0.16994049549102783,
+      "num_tokens": 8631185.0,
+      "step": 4735
+    },
+    {
+      "entropy": 5.445327711105347,
+      "epoch": 3.9270919635459816,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00038459109186770213,
+      "loss": 5.1201,
+      "mean_token_accuracy": 0.18937034606933595,
+      "num_tokens": 8639018.0,
+      "step": 4740
+    },
+    {
+      "entropy": 5.365725660324097,
+      "epoch": 3.9312344656172327,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00038431189315028905,
+      "loss": 5.1293,
+      "mean_token_accuracy": 0.1805494785308838,
+      "num_tokens": 8647672.0,
+      "step": 4745
+    },
+    {
+      "entropy": 5.42286114692688,
+      "epoch": 3.9353769676884838,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003840324739388419,
+      "loss": 5.2659,
+      "mean_token_accuracy": 0.16662627309560776,
+      "num_tokens": 8656638.0,
+      "step": 4750
+    },
+    {
+      "entropy": 5.4803203582763675,
+      "epoch": 3.939519469759735,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00038375283479698,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.18231208473443986,
+      "num_tokens": 8666167.0,
+      "step": 4755
+    },
+    {
+      "entropy": 5.505121231079102,
+      "epoch": 3.943661971830986,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003834729762887659,
+      "loss": 5.3067,
+      "mean_token_accuracy": 0.16447765678167342,
+      "num_tokens": 8676435.0,
+      "step": 4760
+    },
+    {
+      "entropy": 5.413615751266479,
+      "epoch": 3.947804473902237,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003831928989787049,
+      "loss": 5.1808,
+      "mean_token_accuracy": 0.18012969940900803,
+      "num_tokens": 8686011.0,
+      "step": 4765
+    },
+    {
+      "entropy": 5.463970613479614,
+      "epoch": 3.951946975973488,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003829126034317435,
+      "loss": 5.1959,
+      "mean_token_accuracy": 0.17213619947433473,
+      "num_tokens": 8695063.0,
+      "step": 4770
+    },
+    {
+      "entropy": 5.517300796508789,
+      "epoch": 3.956089478044739,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003826320902132684,
+      "loss": 5.299,
+      "mean_token_accuracy": 0.16880902647972107,
+      "num_tokens": 8704585.0,
+      "step": 4775
+    },
+    {
+      "entropy": 5.469470262527466,
+      "epoch": 3.96023198011599,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038235135988910545,
+      "loss": 5.2111,
+      "mean_token_accuracy": 0.17501715570688248,
+      "num_tokens": 8714097.0,
+      "step": 4780
+    },
+    {
+      "entropy": 5.433980226516724,
+      "epoch": 3.964374482187241,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00038207041302551844,
+      "loss": 5.1327,
+      "mean_token_accuracy": 0.1802523225545883,
+      "num_tokens": 8722890.0,
+      "step": 4785
+    },
+    {
+      "entropy": 5.36038613319397,
+      "epoch": 3.968516984258492,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003817892501892078,
+      "loss": 5.1474,
+      "mean_token_accuracy": 0.18226009160280227,
+      "num_tokens": 8732046.0,
+      "step": 4790
+    },
+    {
+      "entropy": 5.385818529129028,
+      "epoch": 3.9726594863297433,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038150787194730977,
+      "loss": 5.1867,
+      "mean_token_accuracy": 0.18098812699317932,
+      "num_tokens": 8741750.0,
+      "step": 4795
+    },
+    {
+      "entropy": 5.49769434928894,
+      "epoch": 3.976801988400994,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000381226278867395,
+      "loss": 5.1585,
+      "mean_token_accuracy": 0.17722393125295638,
+      "num_tokens": 8750141.0,
+      "step": 4800
+    },
+    {
+      "entropy": 5.3994584560394285,
+      "epoch": 3.980944490472245,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00038094447151746746,
+      "loss": 5.0956,
+      "mean_token_accuracy": 0.18723244071006775,
+      "num_tokens": 8758567.0,
+      "step": 4805
+    },
+    {
+      "entropy": 5.376461982727051,
+      "epoch": 3.985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003806624504659635,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1782562255859375,
+      "num_tokens": 8767829.0,
+      "step": 4810
+    },
+    {
+      "entropy": 5.416551733016968,
+      "epoch": 3.9892294946147473,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003803802162817503,
+      "loss": 5.0891,
+      "mean_token_accuracy": 0.18413031548261644,
+      "num_tokens": 8776911.0,
+      "step": 4815
+    },
+    {
+      "entropy": 5.403548002243042,
+      "epoch": 3.9933719966859984,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000380097769534125,
+      "loss": 5.2011,
+      "mean_token_accuracy": 0.18309975266456605,
+      "num_tokens": 8786117.0,
+      "step": 4820
+    },
+    {
+      "entropy": 5.401311016082763,
+      "epoch": 3.9975144987572495,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003798151107928136,
+      "loss": 5.1436,
+      "mean_token_accuracy": 0.18381998240947722,
+      "num_tokens": 8795647.0,
+      "step": 4825
+    },
+    {
+      "entropy": 5.363515567779541,
+      "epoch": 4.001657000828501,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00037953224062796967,
+      "loss": 5.1114,
+      "mean_token_accuracy": 0.18405449539422988,
+      "num_tokens": 8803480.0,
+      "step": 4830
+    },
+    {
+      "entropy": 5.504069137573242,
+      "epoch": 4.005799502899752,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003792491596101733,
+      "loss": 4.9454,
+      "mean_token_accuracy": 0.19255731254816055,
+      "num_tokens": 8812825.0,
+      "step": 4835
+    },
+    {
+      "entropy": 5.45196304321289,
+      "epoch": 4.009942004971003,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003789658683104298,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19097152799367906,
+      "num_tokens": 8821911.0,
+      "step": 4840
+    },
+    {
+      "entropy": 5.429521989822388,
+      "epoch": 4.014084507042254,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037868236730016866,
+      "loss": 4.9518,
+      "mean_token_accuracy": 0.18948255032300948,
+      "num_tokens": 8830691.0,
+      "step": 4845
+    },
+    {
+      "entropy": 5.400455188751221,
+      "epoch": 4.018227009113504,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037839865715124234,
+      "loss": 4.9281,
+      "mean_token_accuracy": 0.19010053426027299,
+      "num_tokens": 8840410.0,
+      "step": 4850
+    },
+    {
+      "entropy": 5.374143838882446,
+      "epoch": 4.022369511184755,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00037811473843592534,
+      "loss": 4.9042,
+      "mean_token_accuracy": 0.19410175532102586,
+      "num_tokens": 8849662.0,
+      "step": 4855
+    },
+    {
+      "entropy": 5.4465690612792965,
+      "epoch": 4.026512013256006,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00037783061172691273,
+      "loss": 4.8985,
+      "mean_token_accuracy": 0.19412659406661986,
+      "num_tokens": 8858666.0,
+      "step": 4860
+    },
+    {
+      "entropy": 5.497456216812134,
+      "epoch": 4.0306545153272575,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003775462775973191,
+      "loss": 4.9611,
+      "mean_token_accuracy": 0.1847592905163765,
+      "num_tokens": 8867885.0,
+      "step": 4865
+    },
+    {
+      "entropy": 5.351856470108032,
+      "epoch": 4.034797017398509,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003772617366206773,
+      "loss": 4.9175,
+      "mean_token_accuracy": 0.19424951672554017,
+      "num_tokens": 8877458.0,
+      "step": 4870
+    },
+    {
+      "entropy": 5.363556432723999,
+      "epoch": 4.03893951946976,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037697698937093783,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.18704084753990174,
+      "num_tokens": 8886995.0,
+      "step": 4875
+    },
+    {
+      "entropy": 5.463095617294312,
+      "epoch": 4.043082021541011,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00037669203642246685,
+      "loss": 5.026,
+      "mean_token_accuracy": 0.18413490056991577,
+      "num_tokens": 8895224.0,
+      "step": 4880
+    },
+    {
+      "entropy": 5.4529016494750975,
+      "epoch": 4.047224523612262,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00037640687835004567,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.1925043895840645,
+      "num_tokens": 8905216.0,
+      "step": 4885
+    },
+    {
+      "entropy": 5.426698875427246,
+      "epoch": 4.051367025683513,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003761215157288692,
+      "loss": 4.9558,
+      "mean_token_accuracy": 0.19299548715353013,
+      "num_tokens": 8915493.0,
+      "step": 4890
+    },
+    {
+      "entropy": 5.362393617630005,
+      "epoch": 4.055509527754764,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00037583594913454514,
+      "loss": 4.925,
+      "mean_token_accuracy": 0.1959809884428978,
+      "num_tokens": 8924740.0,
+      "step": 4895
+    },
+    {
+      "entropy": 5.42564959526062,
+      "epoch": 4.059652029826015,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003755501791430925,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.18527257889509202,
+      "num_tokens": 8934726.0,
+      "step": 4900
+    },
+    {
+      "entropy": 5.448423719406128,
+      "epoch": 4.063794531897266,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00037526420633094044,
+      "loss": 4.9581,
+      "mean_token_accuracy": 0.18748125433921814,
+      "num_tokens": 8944301.0,
+      "step": 4905
+    },
+    {
+      "entropy": 5.449982643127441,
+      "epoch": 4.067937033968517,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037497803127492757,
+      "loss": 4.9881,
+      "mean_token_accuracy": 0.19187170565128325,
+      "num_tokens": 8953967.0,
+      "step": 4910
+    },
+    {
+      "entropy": 5.326543855667114,
+      "epoch": 4.072079536039768,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003746916545523001,
+      "loss": 4.8948,
+      "mean_token_accuracy": 0.19177066087722777,
+      "num_tokens": 8962983.0,
+      "step": 4915
+    },
+    {
+      "entropy": 5.381871175765991,
+      "epoch": 4.076222038111019,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003744050767407113,
+      "loss": 5.0191,
+      "mean_token_accuracy": 0.18154184073209761,
+      "num_tokens": 8972019.0,
+      "step": 4920
+    },
+    {
+      "entropy": 5.40556058883667,
+      "epoch": 4.08036454018227,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0003741182984182198,
+      "loss": 4.901,
+      "mean_token_accuracy": 0.20234887301921844,
+      "num_tokens": 8981751.0,
+      "step": 4925
+    },
+    {
+      "entropy": 5.3616517066955565,
+      "epoch": 4.084507042253521,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003738313201632889,
+      "loss": 4.8923,
+      "mean_token_accuracy": 0.19780989587306977,
+      "num_tokens": 8990330.0,
+      "step": 4930
+    },
+    {
+      "entropy": 5.314311408996582,
+      "epoch": 4.088649544324772,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003735441425547851,
+      "loss": 4.905,
+      "mean_token_accuracy": 0.19072338491678237,
+      "num_tokens": 8998366.0,
+      "step": 4935
+    },
+    {
+      "entropy": 5.290538501739502,
+      "epoch": 4.092792046396023,
+      "grad_norm": 1.828125,
+      "learning_rate": 0.00037325676617197697,
+      "loss": 4.8317,
+      "mean_token_accuracy": 0.20186650305986403,
+      "num_tokens": 9006881.0,
+      "step": 4940
+    },
+    {
+      "entropy": 5.323595571517944,
+      "epoch": 4.096934548467274,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0003729691915945342,
+      "loss": 4.8944,
+      "mean_token_accuracy": 0.19853760153055192,
+      "num_tokens": 9015415.0,
+      "step": 4945
+    },
+    {
+      "entropy": 5.40374059677124,
+      "epoch": 4.1010770505385254,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000372681419402526,
+      "loss": 4.9483,
+      "mean_token_accuracy": 0.19546929001808167,
+      "num_tokens": 9024578.0,
+      "step": 4950
+    },
+    {
+      "entropy": 5.381409311294556,
+      "epoch": 4.105219552609777,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003723934501764203,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.1867024227976799,
+      "num_tokens": 9032637.0,
+      "step": 4955
+    },
+    {
+      "entropy": 5.395318984985352,
+      "epoch": 4.109362054681028,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0003721052844970826,
+      "loss": 4.8913,
+      "mean_token_accuracy": 0.18718749284744263,
+      "num_tokens": 9041513.0,
+      "step": 4960
+    },
+    {
+      "entropy": 5.394489192962647,
+      "epoch": 4.113504556752279,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00037181692294577457,
+      "loss": 4.9155,
+      "mean_token_accuracy": 0.1854037255048752,
+      "num_tokens": 9051024.0,
+      "step": 4965
+    },
+    {
+      "entropy": 5.33848295211792,
+      "epoch": 4.117647058823529,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037152836610415284,
+      "loss": 4.8895,
+      "mean_token_accuracy": 0.19274405539035797,
+      "num_tokens": 9059494.0,
+      "step": 4970
+    },
+    {
+      "entropy": 5.31979193687439,
+      "epoch": 4.12178956089478,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00037123961455426836,
+      "loss": 4.7988,
+      "mean_token_accuracy": 0.19865831583738328,
+      "num_tokens": 9068166.0,
+      "step": 4975
+    },
+    {
+      "entropy": 5.391095542907715,
+      "epoch": 4.125932062966031,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00037095066887856434,
+      "loss": 4.907,
+      "mean_token_accuracy": 0.19333944320678711,
+      "num_tokens": 9077283.0,
+      "step": 4980
+    },
+    {
+      "entropy": 5.3755443572998045,
+      "epoch": 4.130074565037282,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003706615296598758,
+      "loss": 4.9332,
+      "mean_token_accuracy": 0.19493403136730195,
+      "num_tokens": 9086605.0,
+      "step": 4985
+    },
+    {
+      "entropy": 5.301020622253418,
+      "epoch": 4.134217067108533,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003703721974814282,
+      "loss": 4.9169,
+      "mean_token_accuracy": 0.19399153292179108,
+      "num_tokens": 9095567.0,
+      "step": 4990
+    },
+    {
+      "entropy": 5.282594537734985,
+      "epoch": 4.1383595691797845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00037008267292683615,
+      "loss": 4.9012,
+      "mean_token_accuracy": 0.19265301078557967,
+      "num_tokens": 9104457.0,
+      "step": 4995
+    },
+    {
+      "entropy": 5.398877716064453,
+      "epoch": 4.142502071251036,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036979295658010227,
+      "loss": 4.9533,
+      "mean_token_accuracy": 0.20162091553211212,
+      "num_tokens": 9113945.0,
+      "step": 5000
+    },
+    {
+      "epoch": 4.142502071251036,
+      "eval_entropy": 5.273210916946184,
+      "eval_loss": 5.83656120300293,
+      "eval_mean_token_accuracy": 0.15772452866281272,
+      "eval_num_tokens": 9113945.0,
+      "eval_runtime": 2.9415,
+      "eval_samples_per_second": 1273.844,
+      "eval_steps_per_second": 159.443,
+      "step": 5000
+    },
+    {
+      "entropy": 5.424594402313232,
+      "epoch": 4.146644573322287,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003695030490256161,
+      "loss": 5.0303,
+      "mean_token_accuracy": 0.18944208920001984,
+      "num_tokens": 9122996.0,
+      "step": 5005
+    },
+    {
+      "entropy": 5.355675983428955,
+      "epoch": 4.150787075393538,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000369212950848153,
+      "loss": 4.8793,
+      "mean_token_accuracy": 0.1962927296757698,
+      "num_tokens": 9132079.0,
+      "step": 5010
+    },
+    {
+      "entropy": 5.384340238571167,
+      "epoch": 4.154929577464789,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003689226626328725,
+      "loss": 5.0058,
+      "mean_token_accuracy": 0.19004727751016617,
+      "num_tokens": 9141335.0,
+      "step": 5015
+    },
+    {
+      "entropy": 5.442283582687378,
+      "epoch": 4.15907207953604,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00036863218496531767,
+      "loss": 5.0264,
+      "mean_token_accuracy": 0.18990386426448821,
+      "num_tokens": 9150049.0,
+      "step": 5020
+    },
+    {
+      "entropy": 5.409811115264892,
+      "epoch": 4.163214581607291,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003683415184314139,
+      "loss": 4.9057,
+      "mean_token_accuracy": 0.19072521328926087,
+      "num_tokens": 9159245.0,
+      "step": 5025
+    },
+    {
+      "entropy": 5.281745195388794,
+      "epoch": 4.167357083678542,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00036805066361746716,
+      "loss": 4.9432,
+      "mean_token_accuracy": 0.19057238101959229,
+      "num_tokens": 9167892.0,
+      "step": 5030
+    },
+    {
+      "entropy": 5.262811374664307,
+      "epoch": 4.1714995857497925,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036775962111016346,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.19675376862287522,
+      "num_tokens": 9176067.0,
+      "step": 5035
+    },
+    {
+      "entropy": 5.335107898712158,
+      "epoch": 4.175642087821044,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036746839149656734,
+      "loss": 4.9032,
+      "mean_token_accuracy": 0.19636716991662978,
+      "num_tokens": 9185318.0,
+      "step": 5040
+    },
+    {
+      "entropy": 5.338614749908447,
+      "epoch": 4.179784589892295,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003671769753641207,
+      "loss": 4.9605,
+      "mean_token_accuracy": 0.19530149400234223,
+      "num_tokens": 9194885.0,
+      "step": 5045
+    },
+    {
+      "entropy": 5.349650192260742,
+      "epoch": 4.183927091963546,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00036688537330064187,
+      "loss": 4.987,
+      "mean_token_accuracy": 0.19436514377593994,
+      "num_tokens": 9203906.0,
+      "step": 5050
+    },
+    {
+      "entropy": 5.318757629394531,
+      "epoch": 4.188069594034797,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000366593585894324,
+      "loss": 4.8507,
+      "mean_token_accuracy": 0.2013680413365364,
+      "num_tokens": 9213351.0,
+      "step": 5055
+    },
+    {
+      "entropy": 5.347932624816894,
+      "epoch": 4.192212096106048,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003663016137337341,
+      "loss": 4.9278,
+      "mean_token_accuracy": 0.18784158080816268,
+      "num_tokens": 9222191.0,
+      "step": 5060
+    },
+    {
+      "entropy": 5.372864198684693,
+      "epoch": 4.196354598177299,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00036600945740781197,
+      "loss": 4.9668,
+      "mean_token_accuracy": 0.1919815331697464,
+      "num_tokens": 9231517.0,
+      "step": 5065
+    },
+    {
+      "entropy": 5.393643712997436,
+      "epoch": 4.20049710024855,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036571711750586896,
+      "loss": 4.9891,
+      "mean_token_accuracy": 0.19960682690143586,
+      "num_tokens": 9241208.0,
+      "step": 5070
+    },
+    {
+      "entropy": 5.391959381103516,
+      "epoch": 4.204639602319801,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003654245946175864,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19324131309986115,
+      "num_tokens": 9250237.0,
+      "step": 5075
+    },
+    {
+      "entropy": 5.37893590927124,
+      "epoch": 4.2087821043910525,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00036513188933301504,
+      "loss": 5.0399,
+      "mean_token_accuracy": 0.18783097416162492,
+      "num_tokens": 9260273.0,
+      "step": 5080
+    },
+    {
+      "entropy": 5.378773164749146,
+      "epoch": 4.212924606462304,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003648390022425734,
+      "loss": 4.8996,
+      "mean_token_accuracy": 0.19140231609344482,
+      "num_tokens": 9268878.0,
+      "step": 5085
+    },
+    {
+      "entropy": 5.325588417053223,
+      "epoch": 4.217067108533554,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003645459339370468,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19706592857837676,
+      "num_tokens": 9276324.0,
+      "step": 5090
+    },
+    {
+      "entropy": 5.312953901290894,
+      "epoch": 4.221209610604805,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036425268500758594,
+      "loss": 4.9725,
+      "mean_token_accuracy": 0.1936806783080101,
+      "num_tokens": 9285052.0,
+      "step": 5095
+    },
+    {
+      "entropy": 5.354986000061035,
+      "epoch": 4.225352112676056,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036395925604570614,
+      "loss": 4.8763,
+      "mean_token_accuracy": 0.20042537599802018,
+      "num_tokens": 9293324.0,
+      "step": 5100
+    },
+    {
+      "entropy": 5.3900477409362795,
+      "epoch": 4.229494614747307,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003636656476432854,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19263672083616257,
+      "num_tokens": 9302131.0,
+      "step": 5105
+    },
+    {
+      "entropy": 5.263408470153808,
+      "epoch": 4.233637116818558,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003633718603925642,
+      "loss": 4.862,
+      "mean_token_accuracy": 0.19388986378908157,
+      "num_tokens": 9311128.0,
+      "step": 5110
+    },
+    {
+      "entropy": 5.420498418807983,
+      "epoch": 4.237779618889809,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0003630778948861434,
+      "loss": 4.9352,
+      "mean_token_accuracy": 0.1895424723625183,
+      "num_tokens": 9319849.0,
+      "step": 5115
+    },
+    {
+      "entropy": 5.336805248260498,
+      "epoch": 4.2419221209610605,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003627837517169836,
+      "loss": 4.9458,
+      "mean_token_accuracy": 0.18560263216495515,
+      "num_tokens": 9328355.0,
+      "step": 5120
+    },
+    {
+      "entropy": 5.352609777450562,
+      "epoch": 4.246064623032312,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003624894314784037,
+      "loss": 4.9236,
+      "mean_token_accuracy": 0.18928787410259246,
+      "num_tokens": 9337562.0,
+      "step": 5125
+    },
+    {
+      "entropy": 5.323793935775757,
+      "epoch": 4.250207125103563,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003621949347640797,
+      "loss": 4.9315,
+      "mean_token_accuracy": 0.196185165643692,
+      "num_tokens": 9347851.0,
+      "step": 5130
+    },
+    {
+      "entropy": 5.398552274703979,
+      "epoch": 4.254349627174814,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003619002621680439,
+      "loss": 4.9325,
+      "mean_token_accuracy": 0.19673411697149276,
+      "num_tokens": 9356524.0,
+      "step": 5135
+    },
+    {
+      "entropy": 5.4241108894348145,
+      "epoch": 4.258492129246065,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003616054142846829,
+      "loss": 5.0307,
+      "mean_token_accuracy": 0.1882170706987381,
+      "num_tokens": 9365521.0,
+      "step": 5140
+    },
+    {
+      "entropy": 5.301144218444824,
+      "epoch": 4.262634631317316,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003613103917087371,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19470559656620026,
+      "num_tokens": 9374088.0,
+      "step": 5145
+    },
+    {
+      "entropy": 5.345515966415405,
+      "epoch": 4.266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003610151950352994,
+      "loss": 4.9794,
+      "mean_token_accuracy": 0.19499585926532745,
+      "num_tokens": 9382683.0,
+      "step": 5150
+    },
+    {
+      "entropy": 5.306409788131714,
+      "epoch": 4.270919635459817,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0003607198248598137,
+      "loss": 4.9063,
+      "mean_token_accuracy": 0.194849793612957,
+      "num_tokens": 9391790.0,
+      "step": 5155
+    },
+    {
+      "entropy": 5.414876556396484,
+      "epoch": 4.2750621375310685,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003604242817780739,
+      "loss": 4.9901,
+      "mean_token_accuracy": 0.19321189671754838,
+      "num_tokens": 9400234.0,
+      "step": 5160
+    },
+    {
+      "entropy": 5.350374364852906,
+      "epoch": 4.27920463960232,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036012856638622273,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19192621409893035,
+      "num_tokens": 9409513.0,
+      "step": 5165
+    },
+    {
+      "entropy": 5.292260932922363,
+      "epoch": 4.283347141673571,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003598326792807504,
+      "loss": 4.9821,
+      "mean_token_accuracy": 0.18258902430534363,
+      "num_tokens": 9418608.0,
+      "step": 5170
+    },
+    {
+      "entropy": 5.427756977081299,
+      "epoch": 4.287489643744822,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00035953662105849357,
+      "loss": 5.0092,
+      "mean_token_accuracy": 0.19452760964632035,
+      "num_tokens": 9428705.0,
+      "step": 5175
+    },
+    {
+      "entropy": 5.3185462474823,
+      "epoch": 4.291632145816073,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000359240392316634,
+      "loss": 4.9177,
+      "mean_token_accuracy": 0.18542011678218842,
+      "num_tokens": 9438149.0,
+      "step": 5180
+    },
+    {
+      "entropy": 5.330511379241943,
+      "epoch": 4.295774647887324,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003589439936526974,
+      "loss": 4.8709,
+      "mean_token_accuracy": 0.19628295600414275,
+      "num_tokens": 9447566.0,
+      "step": 5185
+    },
+    {
+      "entropy": 5.303903436660766,
+      "epoch": 4.299917149958575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003586474256645525,
+      "loss": 4.9641,
+      "mean_token_accuracy": 0.1915314257144928,
+      "num_tokens": 9458156.0,
+      "step": 5190
+    },
+    {
+      "entropy": 5.410308837890625,
+      "epoch": 4.304059652029826,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035835068895040905,
+      "loss": 5.0014,
+      "mean_token_accuracy": 0.19137390553951264,
+      "num_tokens": 9467388.0,
+      "step": 5195
+    },
+    {
+      "entropy": 5.388073253631592,
+      "epoch": 4.308202154101077,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00035805378410881753,
+      "loss": 4.9642,
+      "mean_token_accuracy": 0.1940509021282196,
+      "num_tokens": 9477515.0,
+      "step": 5200
+    },
+    {
+      "entropy": 5.389194107055664,
+      "epoch": 4.312344656172328,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003577567117386675,
+      "loss": 4.9854,
+      "mean_token_accuracy": 0.1937498316168785,
+      "num_tokens": 9485851.0,
+      "step": 5205
+    },
+    {
+      "entropy": 5.377271747589111,
+      "epoch": 4.3164871582435795,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003574594724391863,
+      "loss": 4.9773,
+      "mean_token_accuracy": 0.18631901144981383,
+      "num_tokens": 9495523.0,
+      "step": 5210
+    },
+    {
+      "entropy": 5.303675985336303,
+      "epoch": 4.32062966031483,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003571620668099382,
+      "loss": 4.9104,
+      "mean_token_accuracy": 0.19740363359451293,
+      "num_tokens": 9504195.0,
+      "step": 5215
+    },
+    {
+      "entropy": 5.377063655853272,
+      "epoch": 4.324772162386081,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003568644954508227,
+      "loss": 4.9616,
+      "mean_token_accuracy": 0.1940310388803482,
+      "num_tokens": 9513313.0,
+      "step": 5220
+    },
+    {
+      "entropy": 5.400073862075805,
+      "epoch": 4.328914664457332,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003565667589620739,
+      "loss": 5.0313,
+      "mean_token_accuracy": 0.18615816980600358,
+      "num_tokens": 9522387.0,
+      "step": 5225
+    },
+    {
+      "entropy": 5.380652332305909,
+      "epoch": 4.333057166528583,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003562688579442588,
+      "loss": 4.9582,
+      "mean_token_accuracy": 0.1893748164176941,
+      "num_tokens": 9531522.0,
+      "step": 5230
+    },
+    {
+      "entropy": 5.349949216842651,
+      "epoch": 4.337199668599834,
+      "grad_norm": 1.6171875,
+      "learning_rate": 0.00035597079299827625,
+      "loss": 4.9875,
+      "mean_token_accuracy": 0.18508986830711366,
+      "num_tokens": 9540248.0,
+      "step": 5235
+    },
+    {
+      "entropy": 5.3083008289337155,
+      "epoch": 4.341342170671085,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035567256472535585,
+      "loss": 4.9192,
+      "mean_token_accuracy": 0.19538334757089615,
+      "num_tokens": 9549850.0,
+      "step": 5240
+    },
+    {
+      "entropy": 5.325525283813477,
+      "epoch": 4.345484672742336,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003553741737270566,
+      "loss": 4.9167,
+      "mean_token_accuracy": 0.19581695050001144,
+      "num_tokens": 9558929.0,
+      "step": 5245
+    },
+    {
+      "entropy": 5.291470670700074,
+      "epoch": 4.3496271748135875,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00035507562060526574,
+      "loss": 4.9163,
+      "mean_token_accuracy": 0.19085376411676408,
+      "num_tokens": 9567627.0,
+      "step": 5250
+    },
+    {
+      "entropy": 5.419774055480957,
+      "epoch": 4.353769676884839,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035477690596219763,
+      "loss": 5.0513,
+      "mean_token_accuracy": 0.18172826021909713,
+      "num_tokens": 9576223.0,
+      "step": 5255
+    },
+    {
+      "entropy": 5.422041416168213,
+      "epoch": 4.35791217895609,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00035447803040039225,
+      "loss": 5.0178,
+      "mean_token_accuracy": 0.1885324940085411,
+      "num_tokens": 9585510.0,
+      "step": 5260
+    },
+    {
+      "entropy": 5.344962453842163,
+      "epoch": 4.362054681027341,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003541789945227143,
+      "loss": 4.9361,
+      "mean_token_accuracy": 0.1920488640666008,
+      "num_tokens": 9594843.0,
+      "step": 5265
+    },
+    {
+      "entropy": 5.401527786254883,
+      "epoch": 4.366197183098592,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00035387979893235184,
+      "loss": 4.9467,
+      "mean_token_accuracy": 0.19816664457321168,
+      "num_tokens": 9604142.0,
+      "step": 5270
+    },
+    {
+      "entropy": 5.339557313919068,
+      "epoch": 4.370339685169842,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003535804442328151,
+      "loss": 4.994,
+      "mean_token_accuracy": 0.197935588657856,
+      "num_tokens": 9613669.0,
+      "step": 5275
+    },
+    {
+      "entropy": 5.395236444473267,
+      "epoch": 4.374482187241093,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00035328093102793506,
+      "loss": 4.9843,
+      "mean_token_accuracy": 0.19234263002872468,
+      "num_tokens": 9623502.0,
+      "step": 5280
+    },
+    {
+      "entropy": 5.377492380142212,
+      "epoch": 4.378624689312344,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035298125992186283,
+      "loss": 4.9784,
+      "mean_token_accuracy": 0.1910512089729309,
+      "num_tokens": 9632041.0,
+      "step": 5285
+    },
+    {
+      "entropy": 5.310422706604004,
+      "epoch": 4.3827671913835955,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00035268143151906764,
+      "loss": 4.9853,
+      "mean_token_accuracy": 0.18939480930566788,
+      "num_tokens": 9641442.0,
+      "step": 5290
+    },
+    {
+      "entropy": 5.356794643402099,
+      "epoch": 4.386909693454847,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00035238144642433616,
+      "loss": 4.956,
+      "mean_token_accuracy": 0.19045386761426925,
+      "num_tokens": 9650857.0,
+      "step": 5295
+    },
+    {
+      "entropy": 5.461606073379516,
+      "epoch": 4.391052195526098,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000352081305242771,
+      "loss": 4.9906,
+      "mean_token_accuracy": 0.1938766911625862,
+      "num_tokens": 9659173.0,
+      "step": 5300
+    },
+    {
+      "entropy": 5.355851411819458,
+      "epoch": 4.395194697597349,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035178100857978994,
+      "loss": 4.9344,
+      "mean_token_accuracy": 0.19574909955263137,
+      "num_tokens": 9668114.0,
+      "step": 5305
+    },
+    {
+      "entropy": 5.261717939376831,
+      "epoch": 4.3993371996686,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00035148055704112405,
+      "loss": 4.9927,
+      "mean_token_accuracy": 0.1930756837129593,
+      "num_tokens": 9676628.0,
+      "step": 5310
+    },
+    {
+      "entropy": 5.305881071090698,
+      "epoch": 4.403479701739851,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003511799512328168,
+      "loss": 4.8897,
+      "mean_token_accuracy": 0.19723279178142547,
+      "num_tokens": 9685801.0,
+      "step": 5315
+    },
+    {
+      "entropy": 5.3678816795349125,
+      "epoch": 4.407622203811102,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003508791917612232,
+      "loss": 4.9677,
+      "mean_token_accuracy": 0.18847441226243972,
+      "num_tokens": 9694237.0,
+      "step": 5320
+    },
+    {
+      "entropy": 5.357159948348999,
+      "epoch": 4.411764705882353,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00035057827923300785,
+      "loss": 4.887,
+      "mean_token_accuracy": 0.1993523895740509,
+      "num_tokens": 9701904.0,
+      "step": 5325
+    },
+    {
+      "entropy": 5.308569765090942,
+      "epoch": 4.415907207953604,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035027721425514414,
+      "loss": 4.8661,
+      "mean_token_accuracy": 0.20139306634664536,
+      "num_tokens": 9710784.0,
+      "step": 5330
+    },
+    {
+      "entropy": 5.310255718231201,
+      "epoch": 4.4200497100248555,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003499759974349131,
+      "loss": 4.9969,
+      "mean_token_accuracy": 0.19186950027942656,
+      "num_tokens": 9720452.0,
+      "step": 5335
+    },
+    {
+      "entropy": 5.335639381408692,
+      "epoch": 4.424192212096106,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00034967462937990194,
+      "loss": 4.9619,
+      "mean_token_accuracy": 0.18502581119537354,
+      "num_tokens": 9729122.0,
+      "step": 5340
+    },
+    {
+      "entropy": 5.414971780776978,
+      "epoch": 4.428334714167357,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000349373110698003,
+      "loss": 5.0216,
+      "mean_token_accuracy": 0.18420466929674148,
+      "num_tokens": 9738756.0,
+      "step": 5345
+    },
+    {
+      "entropy": 5.406450796127319,
+      "epoch": 4.432477216238608,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003490714419974124,
+      "loss": 5.0113,
+      "mean_token_accuracy": 0.1904602199792862,
+      "num_tokens": 9748547.0,
+      "step": 5350
+    },
+    {
+      "entropy": 5.358873558044434,
+      "epoch": 4.436619718309859,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034876962388662885,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.18162461519241332,
+      "num_tokens": 9758421.0,
+      "step": 5355
+    },
+    {
+      "entropy": 5.277571201324463,
+      "epoch": 4.44076222038111,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003484676569744525,
+      "loss": 4.8563,
+      "mean_token_accuracy": 0.19333565086126328,
+      "num_tokens": 9766855.0,
+      "step": 5360
+    },
+    {
+      "entropy": 5.348770189285278,
+      "epoch": 4.444904722452361,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003481655418699836,
+      "loss": 4.9589,
+      "mean_token_accuracy": 0.1960444375872612,
+      "num_tokens": 9776157.0,
+      "step": 5365
+    },
+    {
+      "entropy": 5.279411029815674,
+      "epoch": 4.449047224523612,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00034786327918262126,
+      "loss": 4.8489,
+      "mean_token_accuracy": 0.2087496116757393,
+      "num_tokens": 9784386.0,
+      "step": 5370
+    },
+    {
+      "entropy": 5.354473733901978,
+      "epoch": 4.4531897265948635,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00034756086952206255,
+      "loss": 4.9009,
+      "mean_token_accuracy": 0.1958460658788681,
+      "num_tokens": 9793838.0,
+      "step": 5375
+    },
+    {
+      "entropy": 5.353402185440063,
+      "epoch": 4.457332228666115,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003472583134983005,
+      "loss": 4.9971,
+      "mean_token_accuracy": 0.19221619367599488,
+      "num_tokens": 9802595.0,
+      "step": 5380
+    },
+    {
+      "entropy": 5.384884357452393,
+      "epoch": 4.461474730737366,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00034695561172162396,
+      "loss": 4.9775,
+      "mean_token_accuracy": 0.19024742841720582,
+      "num_tokens": 9811309.0,
+      "step": 5385
+    },
+    {
+      "entropy": 5.2829090595245365,
+      "epoch": 4.465617232808617,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00034665276480261526,
+      "loss": 4.9139,
+      "mean_token_accuracy": 0.1915873184800148,
+      "num_tokens": 9820327.0,
+      "step": 5390
+    },
+    {
+      "entropy": 5.351649951934815,
+      "epoch": 4.469759734879867,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003463497733521499,
+      "loss": 4.9852,
+      "mean_token_accuracy": 0.18354866653680801,
+      "num_tokens": 9829588.0,
+      "step": 5395
+    },
+    {
+      "entropy": 5.42580213546753,
+      "epoch": 4.473902236951118,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003460466379813947,
+      "loss": 4.9887,
+      "mean_token_accuracy": 0.18973219394683838,
+      "num_tokens": 9838548.0,
+      "step": 5400
+    },
+    {
+      "entropy": 5.335280847549439,
+      "epoch": 4.478044739022369,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003457433593018068,
+      "loss": 5.0018,
+      "mean_token_accuracy": 0.18838239908218385,
+      "num_tokens": 9847925.0,
+      "step": 5405
+    },
+    {
+      "entropy": 5.396121597290039,
+      "epoch": 4.48218724109362,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034543993792513243,
+      "loss": 5.0169,
+      "mean_token_accuracy": 0.18753209412097932,
+      "num_tokens": 9856839.0,
+      "step": 5410
+    },
+    {
+      "entropy": 5.37349534034729,
+      "epoch": 4.486329743164871,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003451363744634057,
+      "loss": 4.978,
+      "mean_token_accuracy": 0.19382779747247697,
+      "num_tokens": 9866519.0,
+      "step": 5415
+    },
+    {
+      "entropy": 5.430073976516724,
+      "epoch": 4.4904722452361225,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00034483266952894725,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.19110478311777115,
+      "num_tokens": 9876866.0,
+      "step": 5420
+    },
+    {
+      "entropy": 5.440963220596314,
+      "epoch": 4.494614747307374,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0003445288237343632,
+      "loss": 5.0042,
+      "mean_token_accuracy": 0.1870105817914009,
+      "num_tokens": 9884639.0,
+      "step": 5425
+    },
+    {
+      "entropy": 5.332541465759277,
+      "epoch": 4.498757249378625,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003442248376925436,
+      "loss": 4.9715,
+      "mean_token_accuracy": 0.1879585549235344,
+      "num_tokens": 9893819.0,
+      "step": 5430
+    },
+    {
+      "entropy": 5.251445341110229,
+      "epoch": 4.502899751449876,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00034392071201666167,
+      "loss": 4.9164,
+      "mean_token_accuracy": 0.19130610078573226,
+      "num_tokens": 9902419.0,
+      "step": 5435
+    },
+    {
+      "entropy": 5.390727472305298,
+      "epoch": 4.507042253521127,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000343616447320172,
+      "loss": 4.9565,
+      "mean_token_accuracy": 0.19780462980270386,
+      "num_tokens": 9912434.0,
+      "step": 5440
+    },
+    {
+      "entropy": 5.366470289230347,
+      "epoch": 4.511184755592378,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003433120442168097,
+      "loss": 4.9114,
+      "mean_token_accuracy": 0.193550705909729,
+      "num_tokens": 9921800.0,
+      "step": 5445
+    },
+    {
+      "entropy": 5.316132354736328,
+      "epoch": 4.515327257663629,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034300750332058924,
+      "loss": 4.9803,
+      "mean_token_accuracy": 0.18861733824014665,
+      "num_tokens": 9930863.0,
+      "step": 5450
+    },
+    {
+      "entropy": 5.340768337249756,
+      "epoch": 4.51946975973488,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003427028252458028,
+      "loss": 4.995,
+      "mean_token_accuracy": 0.1959969326853752,
+      "num_tokens": 9940524.0,
+      "step": 5455
+    },
+    {
+      "entropy": 5.398335361480713,
+      "epoch": 4.5236122618061305,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.0003423980106070194,
+      "loss": 4.98,
+      "mean_token_accuracy": 0.18993111699819565,
+      "num_tokens": 9948949.0,
+      "step": 5460
+    },
+    {
+      "entropy": 5.363409519195557,
+      "epoch": 4.527754763877382,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003420930600190834,
+      "loss": 5.0007,
+      "mean_token_accuracy": 0.18487946093082427,
+      "num_tokens": 9958154.0,
+      "step": 5465
+    },
+    {
+      "entropy": 5.353360748291015,
+      "epoch": 4.531897265948633,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003417879740971135,
+      "loss": 4.8917,
+      "mean_token_accuracy": 0.19643958359956742,
+      "num_tokens": 9967023.0,
+      "step": 5470
+    },
+    {
+      "entropy": 5.392623519897461,
+      "epoch": 4.536039768019884,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003414827534565014,
+      "loss": 4.9908,
+      "mean_token_accuracy": 0.18982938379049302,
+      "num_tokens": 9976596.0,
+      "step": 5475
+    },
+    {
+      "entropy": 5.358148193359375,
+      "epoch": 4.540182270091135,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00034117739871291036,
+      "loss": 4.8992,
+      "mean_token_accuracy": 0.19934887886047364,
+      "num_tokens": 9985330.0,
+      "step": 5480
+    },
+    {
+      "entropy": 5.35659613609314,
+      "epoch": 4.544324772162386,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00034087191048227445,
+      "loss": 5.032,
+      "mean_token_accuracy": 0.1861831620335579,
+      "num_tokens": 9996053.0,
+      "step": 5485
+    },
+    {
+      "entropy": 5.335864496231079,
+      "epoch": 4.548467274233637,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003405662893807967,
+      "loss": 4.9445,
+      "mean_token_accuracy": 0.1877502605319023,
+      "num_tokens": 10005517.0,
+      "step": 5490
+    },
+    {
+      "entropy": 5.389253044128418,
+      "epoch": 4.552609776304888,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003402605360249482,
+      "loss": 5.0416,
+      "mean_token_accuracy": 0.18830080330371857,
+      "num_tokens": 10014354.0,
+      "step": 5495
+    },
+    {
+      "entropy": 5.3128773212432865,
+      "epoch": 4.556752278376139,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000339954651031467,
+      "loss": 4.9238,
+      "mean_token_accuracy": 0.19178629368543626,
+      "num_tokens": 10023194.0,
+      "step": 5500
+    },
+    {
+      "epoch": 4.556752278376139,
+      "eval_entropy": 5.195640559898003,
+      "eval_loss": 5.80400276184082,
+      "eval_mean_token_accuracy": 0.15982486544323882,
+      "eval_num_tokens": 10023194.0,
+      "eval_runtime": 2.7416,
+      "eval_samples_per_second": 1366.696,
+      "eval_steps_per_second": 171.065,
+      "step": 5500
+    },
+    {
+      "entropy": 5.267048501968384,
+      "epoch": 4.5608947804473905,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00033964863501735647,
+      "loss": 4.9188,
+      "mean_token_accuracy": 0.19228280782699586,
+      "num_tokens": 10032490.0,
+      "step": 5505
+    },
+    {
+      "entropy": 5.392655229568481,
+      "epoch": 4.565037282518642,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00033934248859988453,
+      "loss": 4.9346,
+      "mean_token_accuracy": 0.19580908715724946,
+      "num_tokens": 10041613.0,
+      "step": 5510
+    },
+    {
+      "entropy": 5.262086534500122,
+      "epoch": 4.569179784589892,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003390362123965817,
+      "loss": 4.8733,
+      "mean_token_accuracy": 0.1911102056503296,
+      "num_tokens": 10050500.0,
+      "step": 5515
+    },
+    {
+      "entropy": 5.36342945098877,
+      "epoch": 4.573322286661144,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003387298070252407,
+      "loss": 4.9492,
+      "mean_token_accuracy": 0.1935834139585495,
+      "num_tokens": 10059650.0,
+      "step": 5520
+    },
+    {
+      "entropy": 5.337366104125977,
+      "epoch": 4.577464788732394,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003384232731039146,
+      "loss": 4.9844,
+      "mean_token_accuracy": 0.19709572941064835,
+      "num_tokens": 10067882.0,
+      "step": 5525
+    },
+    {
+      "entropy": 5.300627326965332,
+      "epoch": 4.581607290803645,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00033811661125091584,
+      "loss": 4.9253,
+      "mean_token_accuracy": 0.19670316576957703,
+      "num_tokens": 10077147.0,
+      "step": 5530
+    },
+    {
+      "entropy": 5.369974613189697,
+      "epoch": 4.585749792874896,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00033780982208481494,
+      "loss": 4.9829,
+      "mean_token_accuracy": 0.1897311642765999,
+      "num_tokens": 10086149.0,
+      "step": 5535
+    },
+    {
+      "entropy": 5.303711175918579,
+      "epoch": 4.589892294946147,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003375029062244392,
+      "loss": 4.9027,
+      "mean_token_accuracy": 0.20062701553106307,
+      "num_tokens": 10094997.0,
+      "step": 5540
+    },
+    {
+      "entropy": 5.461194086074829,
+      "epoch": 4.5940347970173985,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00033719586428887125,
+      "loss": 4.9635,
+      "mean_token_accuracy": 0.19236611425876618,
+      "num_tokens": 10103585.0,
+      "step": 5545
+    },
+    {
+      "entropy": 5.276572418212891,
+      "epoch": 4.59817729908865,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00033688869689744836,
+      "loss": 4.8715,
+      "mean_token_accuracy": 0.1956779330968857,
+      "num_tokens": 10113877.0,
+      "step": 5550
+    },
+    {
+      "entropy": 5.333914184570313,
+      "epoch": 4.602319801159901,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003365814046697608,
+      "loss": 4.9676,
+      "mean_token_accuracy": 0.1832288920879364,
+      "num_tokens": 10123127.0,
+      "step": 5555
+    },
+    {
+      "entropy": 5.39079098701477,
+      "epoch": 4.606462303231152,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003362739882256504,
+      "loss": 5.0347,
+      "mean_token_accuracy": 0.186669659614563,
+      "num_tokens": 10132301.0,
+      "step": 5560
+    },
+    {
+      "entropy": 5.369095230102539,
+      "epoch": 4.610604805302403,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0003359664481852099,
+      "loss": 5.0411,
+      "mean_token_accuracy": 0.18307175636291503,
+      "num_tokens": 10140985.0,
+      "step": 5565
+    },
+    {
+      "entropy": 5.309534072875977,
+      "epoch": 4.614747307373654,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00033565878516878103,
+      "loss": 4.9435,
+      "mean_token_accuracy": 0.186006298661232,
+      "num_tokens": 10149668.0,
+      "step": 5570
+    },
+    {
+      "entropy": 5.324404716491699,
+      "epoch": 4.618889809444905,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0003353509997969537,
+      "loss": 4.9982,
+      "mean_token_accuracy": 0.1883559986948967,
+      "num_tokens": 10158584.0,
+      "step": 5575
+    },
+    {
+      "entropy": 5.366722822189331,
+      "epoch": 4.623032311516155,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00033504309269056484,
+      "loss": 4.968,
+      "mean_token_accuracy": 0.19045166224241256,
+      "num_tokens": 10167657.0,
+      "step": 5580
+    },
+    {
+      "entropy": 5.274179601669312,
+      "epoch": 4.6271748135874065,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003347350644706965,
+      "loss": 4.8462,
+      "mean_token_accuracy": 0.1975993499159813,
+      "num_tokens": 10176657.0,
+      "step": 5585
+    },
+    {
+      "entropy": 5.3866353034973145,
+      "epoch": 4.631317315658658,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003344269157586754,
+      "loss": 4.9669,
+      "mean_token_accuracy": 0.19621438384056092,
+      "num_tokens": 10185132.0,
+      "step": 5590
+    },
+    {
+      "entropy": 5.304204607009888,
+      "epoch": 4.635459817729909,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00033411864717607114,
+      "loss": 4.8497,
+      "mean_token_accuracy": 0.19386404007673264,
+      "num_tokens": 10193428.0,
+      "step": 5595
+    },
+    {
+      "entropy": 5.324200677871704,
+      "epoch": 4.63960231980116,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0003338102593446951,
+      "loss": 5.0163,
+      "mean_token_accuracy": 0.18838184028863908,
+      "num_tokens": 10202549.0,
+      "step": 5600
+    },
+    {
+      "entropy": 5.341615533828735,
+      "epoch": 4.643744821872411,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00033350175288659925,
+      "loss": 4.8885,
+      "mean_token_accuracy": 0.1946927636861801,
+      "num_tokens": 10211161.0,
+      "step": 5605
+    },
+    {
+      "entropy": 5.309947538375854,
+      "epoch": 4.647887323943662,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00033319312842407483,
+      "loss": 4.9923,
+      "mean_token_accuracy": 0.18832400739192962,
+      "num_tokens": 10220988.0,
+      "step": 5610
+    },
+    {
+      "entropy": 5.2807288646698,
+      "epoch": 4.652029826014913,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003328843865796511,
+      "loss": 4.8873,
+      "mean_token_accuracy": 0.19748056083917617,
+      "num_tokens": 10229383.0,
+      "step": 5615
+    },
+    {
+      "entropy": 5.421126461029052,
+      "epoch": 4.656172328086164,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033257552797609426,
+      "loss": 4.9686,
+      "mean_token_accuracy": 0.18525946289300918,
+      "num_tokens": 10238622.0,
+      "step": 5620
+    },
+    {
+      "entropy": 5.506065034866333,
+      "epoch": 4.660314830157415,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00033226655323640553,
+      "loss": 5.0677,
+      "mean_token_accuracy": 0.18611674308776854,
+      "num_tokens": 10248201.0,
+      "step": 5625
+    },
+    {
+      "entropy": 5.445924186706543,
+      "epoch": 4.664457332228666,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000331957462983821,
+      "loss": 5.0837,
+      "mean_token_accuracy": 0.17612475752830506,
+      "num_tokens": 10258239.0,
+      "step": 5630
+    },
+    {
+      "entropy": 5.377671623229981,
+      "epoch": 4.668599834299917,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0003316482578418094,
+      "loss": 4.9675,
+      "mean_token_accuracy": 0.1935265153646469,
+      "num_tokens": 10266915.0,
+      "step": 5635
+    },
+    {
+      "entropy": 5.348722076416015,
+      "epoch": 4.672742336371169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00033133893843407126,
+      "loss": 5.0783,
+      "mean_token_accuracy": 0.18859633952379226,
+      "num_tokens": 10276826.0,
+      "step": 5640
+    },
+    {
+      "entropy": 5.327623510360718,
+      "epoch": 4.676884838442419,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00033102950538453776,
+      "loss": 4.9912,
+      "mean_token_accuracy": 0.19163501411676406,
+      "num_tokens": 10286041.0,
+      "step": 5645
+    },
+    {
+      "entropy": 5.367205619812012,
+      "epoch": 4.68102734051367,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00033071995931736897,
+      "loss": 5.0151,
+      "mean_token_accuracy": 0.19023409783840178,
+      "num_tokens": 10295258.0,
+      "step": 5650
+    },
+    {
+      "entropy": 5.404719638824463,
+      "epoch": 4.685169842584921,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00033041030085695323,
+      "loss": 4.9423,
+      "mean_token_accuracy": 0.19237637221813203,
+      "num_tokens": 10304726.0,
+      "step": 5655
+    },
+    {
+      "entropy": 5.34141435623169,
+      "epoch": 4.689312344656172,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003301005306279055,
+      "loss": 4.8745,
+      "mean_token_accuracy": 0.2018929526209831,
+      "num_tokens": 10312912.0,
+      "step": 5660
+    },
+    {
+      "entropy": 5.300086307525635,
+      "epoch": 4.693454846727423,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00032979064925506627,
+      "loss": 4.9743,
+      "mean_token_accuracy": 0.18896473944187164,
+      "num_tokens": 10322046.0,
+      "step": 5665
+    },
+    {
+      "entropy": 5.290521335601807,
+      "epoch": 4.697597348798674,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003294806573634999,
+      "loss": 4.9263,
+      "mean_token_accuracy": 0.206088125705719,
+      "num_tokens": 10331375.0,
+      "step": 5670
+    },
+    {
+      "entropy": 5.353716802597046,
+      "epoch": 4.7017398508699255,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003291705555784942,
+      "loss": 5.0624,
+      "mean_token_accuracy": 0.18850265592336654,
+      "num_tokens": 10341465.0,
+      "step": 5675
+    },
+    {
+      "entropy": 5.466339874267578,
+      "epoch": 4.705882352941177,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00032886034452555814,
+      "loss": 5.052,
+      "mean_token_accuracy": 0.18991907685995102,
+      "num_tokens": 10350137.0,
+      "step": 5680
+    },
+    {
+      "entropy": 5.3118266582489015,
+      "epoch": 4.710024855012428,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003285500248304214,
+      "loss": 4.9502,
+      "mean_token_accuracy": 0.1877942368388176,
+      "num_tokens": 10358666.0,
+      "step": 5685
+    },
+    {
+      "entropy": 5.319189500808716,
+      "epoch": 4.714167357083679,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003282395971190328,
+      "loss": 4.8375,
+      "mean_token_accuracy": 0.19829211980104447,
+      "num_tokens": 10366910.0,
+      "step": 5690
+    },
+    {
+      "entropy": 5.377291250228882,
+      "epoch": 4.71830985915493,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032792906201755876,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19080002307891847,
+      "num_tokens": 10376435.0,
+      "step": 5695
+    },
+    {
+      "entropy": 5.293179368972778,
+      "epoch": 4.72245236122618,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00032761842015238256,
+      "loss": 4.8965,
+      "mean_token_accuracy": 0.2024861231446266,
+      "num_tokens": 10384670.0,
+      "step": 5700
+    },
+    {
+      "entropy": 5.261117172241211,
+      "epoch": 4.726594863297431,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003273076721501029,
+      "loss": 4.8845,
+      "mean_token_accuracy": 0.1939824104309082,
+      "num_tokens": 10393731.0,
+      "step": 5705
+    },
+    {
+      "entropy": 5.386179351806641,
+      "epoch": 4.730737365368682,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003269968186375325,
+      "loss": 4.9916,
+      "mean_token_accuracy": 0.19829274713993073,
+      "num_tokens": 10402369.0,
+      "step": 5710
+    },
+    {
+      "entropy": 5.379951667785645,
+      "epoch": 4.7348798674399335,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003266858602416967,
+      "loss": 4.9801,
+      "mean_token_accuracy": 0.1936841771006584,
+      "num_tokens": 10411566.0,
+      "step": 5715
+    },
+    {
+      "entropy": 5.384341192245484,
+      "epoch": 4.739022369511185,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032637479758983255,
+      "loss": 5.0294,
+      "mean_token_accuracy": 0.18491634279489516,
+      "num_tokens": 10420086.0,
+      "step": 5720
+    },
+    {
+      "entropy": 5.409085655212403,
+      "epoch": 4.743164871582436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00032606363130938766,
+      "loss": 5.0704,
+      "mean_token_accuracy": 0.18897949457168578,
+      "num_tokens": 10429746.0,
+      "step": 5725
+    },
+    {
+      "entropy": 5.349277639389038,
+      "epoch": 4.747307373653687,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0003257523620280181,
+      "loss": 4.9498,
+      "mean_token_accuracy": 0.19129680693149567,
+      "num_tokens": 10438536.0,
+      "step": 5730
+    },
+    {
+      "entropy": 5.348873805999756,
+      "epoch": 4.751449875724938,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00032544099037358834,
+      "loss": 4.9497,
+      "mean_token_accuracy": 0.19692206382751465,
+      "num_tokens": 10447471.0,
+      "step": 5735
+    },
+    {
+      "entropy": 5.33362455368042,
+      "epoch": 4.755592377796189,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003251295169741688,
+      "loss": 4.962,
+      "mean_token_accuracy": 0.1995266228914261,
+      "num_tokens": 10457179.0,
+      "step": 5740
+    },
+    {
+      "entropy": 5.327010250091552,
+      "epoch": 4.75973487986744,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00032481794245803536,
+      "loss": 5.0295,
+      "mean_token_accuracy": 0.18461760133504868,
+      "num_tokens": 10466291.0,
+      "step": 5745
+    },
+    {
+      "entropy": 5.323912620544434,
+      "epoch": 4.763877381938691,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00032450626745366806,
+      "loss": 4.9102,
+      "mean_token_accuracy": 0.19402227252721788,
+      "num_tokens": 10475452.0,
+      "step": 5750
+    },
+    {
+      "entropy": 5.306818199157715,
+      "epoch": 4.768019884009942,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00032419449258974924,
+      "loss": 4.8753,
+      "mean_token_accuracy": 0.20045212656259537,
+      "num_tokens": 10484381.0,
+      "step": 5755
+    },
+    {
+      "entropy": 5.342190933227539,
+      "epoch": 4.7721623860811935,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000323882618495163,
+      "loss": 5.0665,
+      "mean_token_accuracy": 0.1831491023302078,
+      "num_tokens": 10495132.0,
+      "step": 5760
+    },
+    {
+      "entropy": 5.351349258422852,
+      "epoch": 4.776304888152444,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003235706457989934,
+      "loss": 5.0246,
+      "mean_token_accuracy": 0.1850237250328064,
+      "num_tokens": 10504519.0,
+      "step": 5765
+    },
+    {
+      "entropy": 5.387107896804809,
+      "epoch": 4.780447390223695,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032325857513052354,
+      "loss": 4.9654,
+      "mean_token_accuracy": 0.19212980419397355,
+      "num_tokens": 10513575.0,
+      "step": 5770
+    },
+    {
+      "entropy": 5.396086692810059,
+      "epoch": 4.784589892294946,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000322946407119234,
+      "loss": 5.0554,
+      "mean_token_accuracy": 0.18998173326253892,
+      "num_tokens": 10522148.0,
+      "step": 5775
+    },
+    {
+      "entropy": 5.361077404022216,
+      "epoch": 4.788732394366197,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032263414239480187,
+      "loss": 4.9891,
+      "mean_token_accuracy": 0.18589809089899062,
+      "num_tokens": 10531183.0,
+      "step": 5780
+    },
+    {
+      "entropy": 5.342947483062744,
+      "epoch": 4.792874896437448,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.000322321781587099,
+      "loss": 4.9298,
+      "mean_token_accuracy": 0.19391343146562576,
+      "num_tokens": 10540677.0,
+      "step": 5785
+    },
+    {
+      "entropy": 5.276329088211059,
+      "epoch": 4.797017398508699,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003220093253261915,
+      "loss": 4.9342,
+      "mean_token_accuracy": 0.18589555770158767,
+      "num_tokens": 10550009.0,
+      "step": 5790
+    },
+    {
+      "entropy": 5.315787076950073,
+      "epoch": 4.80115990057995,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003216967742423377,
+      "loss": 4.9621,
+      "mean_token_accuracy": 0.19312297254800798,
+      "num_tokens": 10559694.0,
+      "step": 5795
+    },
+    {
+      "entropy": 5.339448022842407,
+      "epoch": 4.8053024026512015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003213841289659872,
+      "loss": 4.9613,
+      "mean_token_accuracy": 0.20080769211053848,
+      "num_tokens": 10567965.0,
+      "step": 5800
+    },
+    {
+      "entropy": 5.312955284118653,
+      "epoch": 4.809444904722453,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003210713901277799,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.19690640568733214,
+      "num_tokens": 10577653.0,
+      "step": 5805
+    },
+    {
+      "entropy": 5.359428977966308,
+      "epoch": 4.813587406793704,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000320758558358544,
+      "loss": 4.9728,
+      "mean_token_accuracy": 0.18951950818300248,
+      "num_tokens": 10586903.0,
+      "step": 5810
+    },
+    {
+      "entropy": 5.302858638763428,
+      "epoch": 4.817729908864955,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003204456342892955,
+      "loss": 4.8829,
+      "mean_token_accuracy": 0.19500194638967513,
+      "num_tokens": 10595411.0,
+      "step": 5815
+    },
+    {
+      "entropy": 5.321697616577149,
+      "epoch": 4.821872410936205,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00032013261855123637,
+      "loss": 4.9475,
+      "mean_token_accuracy": 0.1907385230064392,
+      "num_tokens": 10604147.0,
+      "step": 5820
+    },
+    {
+      "entropy": 5.368891286849975,
+      "epoch": 4.826014913007457,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00031981951177575366,
+      "loss": 5.0445,
+      "mean_token_accuracy": 0.1850367307662964,
+      "num_tokens": 10614048.0,
+      "step": 5825
+    },
+    {
+      "entropy": 5.374803781509399,
+      "epoch": 4.830157415078707,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003195063145944178,
+      "loss": 5.0779,
+      "mean_token_accuracy": 0.18388603180646895,
+      "num_tokens": 10623399.0,
+      "step": 5830
+    },
+    {
+      "entropy": 5.389354228973389,
+      "epoch": 4.834299917149958,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003191930276389819,
+      "loss": 4.9183,
+      "mean_token_accuracy": 0.19506800919771194,
+      "num_tokens": 10632627.0,
+      "step": 5835
+    },
+    {
+      "entropy": 5.401239061355591,
+      "epoch": 4.838442419221209,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00031887965154137987,
+      "loss": 4.9726,
+      "mean_token_accuracy": 0.1816769301891327,
+      "num_tokens": 10641155.0,
+      "step": 5840
+    },
+    {
+      "entropy": 5.354168939590454,
+      "epoch": 4.8425849212924605,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003185661869337255,
+      "loss": 5.0118,
+      "mean_token_accuracy": 0.18452974855899812,
+      "num_tokens": 10649661.0,
+      "step": 5845
+    },
+    {
+      "entropy": 5.265790605545044,
+      "epoch": 4.846727423363712,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00031825263444831137,
+      "loss": 4.9151,
+      "mean_token_accuracy": 0.19235364347696304,
+      "num_tokens": 10658652.0,
+      "step": 5850
+    },
+    {
+      "entropy": 5.3790277481079105,
+      "epoch": 4.850869925434963,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003179389947176069,
+      "loss": 5.0445,
+      "mean_token_accuracy": 0.1886226385831833,
+      "num_tokens": 10668703.0,
+      "step": 5855
+    },
+    {
+      "entropy": 5.385872554779053,
+      "epoch": 4.855012427506214,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003176252683742578,
+      "loss": 4.9484,
+      "mean_token_accuracy": 0.19056980460882186,
+      "num_tokens": 10677740.0,
+      "step": 5860
+    },
+    {
+      "entropy": 5.347926044464112,
+      "epoch": 4.859154929577465,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003173114560510843,
+      "loss": 4.9447,
+      "mean_token_accuracy": 0.18929830342531204,
+      "num_tokens": 10686429.0,
+      "step": 5865
+    },
+    {
+      "entropy": 5.332098054885864,
+      "epoch": 4.863297431648716,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00031699755838108027,
+      "loss": 5.0442,
+      "mean_token_accuracy": 0.1941297546029091,
+      "num_tokens": 10696367.0,
+      "step": 5870
+    },
+    {
+      "entropy": 5.310936546325683,
+      "epoch": 4.867439933719967,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003166835759974115,
+      "loss": 4.9902,
+      "mean_token_accuracy": 0.1873769447207451,
+      "num_tokens": 10705712.0,
+      "step": 5875
+    },
+    {
+      "entropy": 5.371630382537842,
+      "epoch": 4.871582435791218,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031636950953341486,
+      "loss": 5.0345,
+      "mean_token_accuracy": 0.18638068735599517,
+      "num_tokens": 10715897.0,
+      "step": 5880
+    },
+    {
+      "entropy": 5.3334348678588865,
+      "epoch": 4.8757249378624685,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00031605535962259666,
+      "loss": 4.9268,
+      "mean_token_accuracy": 0.1887778237462044,
+      "num_tokens": 10724810.0,
+      "step": 5885
+    },
+    {
+      "entropy": 5.353308916091919,
+      "epoch": 4.87986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003157411268986316,
+      "loss": 4.9771,
+      "mean_token_accuracy": 0.1932398796081543,
+      "num_tokens": 10734661.0,
+      "step": 5890
+    },
+    {
+      "entropy": 5.287876415252685,
+      "epoch": 4.884009942004971,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003154268119953615,
+      "loss": 4.9586,
+      "mean_token_accuracy": 0.19356854259967804,
+      "num_tokens": 10743642.0,
+      "step": 5895
+    },
+    {
+      "entropy": 5.344345998764038,
+      "epoch": 4.888152444076222,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003151124155467938,
+      "loss": 4.9607,
+      "mean_token_accuracy": 0.19625648856163025,
+      "num_tokens": 10752812.0,
+      "step": 5900
+    },
+    {
+      "entropy": 5.3407337188720705,
+      "epoch": 4.892294946147473,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00031479793818710056,
+      "loss": 4.9983,
+      "mean_token_accuracy": 0.18306475579738618,
+      "num_tokens": 10762117.0,
+      "step": 5905
+    },
+    {
+      "entropy": 5.299752902984619,
+      "epoch": 4.896437448218724,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031448338055061685,
+      "loss": 4.9018,
+      "mean_token_accuracy": 0.19901909530162812,
+      "num_tokens": 10771515.0,
+      "step": 5910
+    },
+    {
+      "entropy": 5.309285831451416,
+      "epoch": 4.900579950289975,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00031416874327183994,
+      "loss": 4.9486,
+      "mean_token_accuracy": 0.19302618503570557,
+      "num_tokens": 10780610.0,
+      "step": 5915
+    },
+    {
+      "entropy": 5.22410569190979,
+      "epoch": 4.904722452361226,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031385402698542753,
+      "loss": 4.9151,
+      "mean_token_accuracy": 0.19276074767112733,
+      "num_tokens": 10789169.0,
+      "step": 5920
+    },
+    {
+      "entropy": 5.30161485671997,
+      "epoch": 4.908864954432477,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031353923232619674,
+      "loss": 4.9078,
+      "mean_token_accuracy": 0.19779694378376006,
+      "num_tokens": 10798636.0,
+      "step": 5925
+    },
+    {
+      "entropy": 5.3571271896362305,
+      "epoch": 4.9130074565037285,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003132243599291229,
+      "loss": 4.9753,
+      "mean_token_accuracy": 0.19644105434417725,
+      "num_tokens": 10808245.0,
+      "step": 5930
+    },
+    {
+      "entropy": 5.384200191497802,
+      "epoch": 4.91714995857498,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00031290941042933797,
+      "loss": 4.9679,
+      "mean_token_accuracy": 0.18787674605846405,
+      "num_tokens": 10817164.0,
+      "step": 5935
+    },
+    {
+      "entropy": 5.287544202804566,
+      "epoch": 4.92129246064623,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031259438446212953,
+      "loss": 5.0007,
+      "mean_token_accuracy": 0.18373542726039888,
+      "num_tokens": 10826098.0,
+      "step": 5940
+    },
+    {
+      "entropy": 5.33493857383728,
+      "epoch": 4.925434962717482,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00031227928266293933,
+      "loss": 5.0115,
+      "mean_token_accuracy": 0.18100205808877945,
+      "num_tokens": 10836427.0,
+      "step": 5945
+    },
+    {
+      "entropy": 5.345344829559326,
+      "epoch": 4.929577464788732,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00031196410566736215,
+      "loss": 4.9689,
+      "mean_token_accuracy": 0.19277302771806717,
+      "num_tokens": 10845804.0,
+      "step": 5950
+    },
+    {
+      "entropy": 5.3519449710845945,
+      "epoch": 4.933719966859983,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00031164885411114453,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.1908810630440712,
+      "num_tokens": 10855951.0,
+      "step": 5955
+    },
+    {
+      "entropy": 5.301464605331421,
+      "epoch": 4.937862468931234,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031133352863018315,
+      "loss": 5.079,
+      "mean_token_accuracy": 0.18923453092575074,
+      "num_tokens": 10865528.0,
+      "step": 5960
+    },
+    {
+      "entropy": 5.369193601608276,
+      "epoch": 4.942004971002485,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00031101812986052406,
+      "loss": 4.9936,
+      "mean_token_accuracy": 0.19839225262403487,
+      "num_tokens": 10874365.0,
+      "step": 5965
+    },
+    {
+      "entropy": 5.310976552963257,
+      "epoch": 4.9461474730737365,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00031070265843836107,
+      "loss": 4.9184,
+      "mean_token_accuracy": 0.1972976267337799,
+      "num_tokens": 10883034.0,
+      "step": 5970
+    },
+    {
+      "entropy": 5.323369884490967,
+      "epoch": 4.950289975144988,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003103871150000345,
+      "loss": 4.9768,
+      "mean_token_accuracy": 0.1961338758468628,
+      "num_tokens": 10892307.0,
+      "step": 5975
+    },
+    {
+      "entropy": 5.354686069488525,
+      "epoch": 4.954432477216239,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00031007150018202983,
+      "loss": 5.057,
+      "mean_token_accuracy": 0.18536237627267838,
+      "num_tokens": 10902074.0,
+      "step": 5980
+    },
+    {
+      "entropy": 5.372721862792969,
+      "epoch": 4.95857497928749,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00030975581462097673,
+      "loss": 4.8961,
+      "mean_token_accuracy": 0.19350670725107194,
+      "num_tokens": 10911205.0,
+      "step": 5985
+    },
+    {
+      "entropy": 5.278085422515869,
+      "epoch": 4.962717481358741,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00030944005895364754,
+      "loss": 4.9233,
+      "mean_token_accuracy": 0.19045489132404328,
+      "num_tokens": 10920371.0,
+      "step": 5990
+    },
+    {
+      "entropy": 5.219862222671509,
+      "epoch": 4.966859983429992,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00030912423381695584,
+      "loss": 4.9124,
+      "mean_token_accuracy": 0.20015972554683686,
+      "num_tokens": 10928741.0,
+      "step": 5995
+    },
+    {
+      "entropy": 5.3216063499450685,
+      "epoch": 4.971002485501243,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00030880833984795554,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.20140086114406586,
+      "num_tokens": 10938074.0,
+      "step": 6000
+    },
+    {
+      "epoch": 4.971002485501243,
+      "eval_entropy": 5.223882782942196,
+      "eval_loss": 5.772702217102051,
+      "eval_mean_token_accuracy": 0.16291698060437307,
+      "eval_num_tokens": 10938074.0,
+      "eval_runtime": 2.7438,
+      "eval_samples_per_second": 1365.624,
+      "eval_steps_per_second": 170.931,
+      "step": 6000
+    },
+    {
+      "entropy": 5.304221105575562,
+      "epoch": 4.975144987572493,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0003084923776838392,
+      "loss": 4.9428,
+      "mean_token_accuracy": 0.1906152918934822,
+      "num_tokens": 10946756.0,
+      "step": 6005
+    },
+    {
+      "entropy": 5.28564419746399,
+      "epoch": 4.9792874896437445,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00030817634796193705,
+      "loss": 4.9192,
+      "mean_token_accuracy": 0.19711493700742722,
+      "num_tokens": 10956313.0,
+      "step": 6010
+    },
+    {
+      "entropy": 5.420253419876099,
+      "epoch": 4.983429991714996,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00030786025131971555,
+      "loss": 4.9823,
+      "mean_token_accuracy": 0.19457563310861586,
+      "num_tokens": 10964333.0,
+      "step": 6015
+    },
+    {
+      "entropy": 5.329161500930786,
+      "epoch": 4.987572493786247,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003075440883947764,
+      "loss": 4.8999,
+      "mean_token_accuracy": 0.19664130955934525,
+      "num_tokens": 10974110.0,
+      "step": 6020
+    },
+    {
+      "entropy": 5.248602771759034,
+      "epoch": 4.991714995857498,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003072278598248544,
+      "loss": 4.9529,
+      "mean_token_accuracy": 0.19656815081834794,
+      "num_tokens": 10983186.0,
+      "step": 6025
+    },
+    {
+      "entropy": 5.307998704910278,
+      "epoch": 4.995857497928749,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00030691156624781734,
+      "loss": 4.9377,
+      "mean_token_accuracy": 0.19932860583066941,
+      "num_tokens": 10992244.0,
+      "step": 6030
+    },
+    {
+      "entropy": 5.353039836883545,
+      "epoch": 5.0,
+      "grad_norm": 1.8515625,
+      "learning_rate": 0.000306595208301664,
+      "loss": 4.927,
+      "mean_token_accuracy": 0.20540354549884796,
+      "num_tokens": 11000005.0,
+      "step": 6035
+    },
+    {
+      "entropy": 5.336960649490356,
+      "epoch": 5.004142502071251,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00030627878662452273,
+      "loss": 4.7717,
+      "mean_token_accuracy": 0.20522954761981965,
+      "num_tokens": 11009346.0,
+      "step": 6040
+    },
+    {
+      "entropy": 5.356115531921387,
+      "epoch": 5.008285004142502,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003059623018546508,
+      "loss": 4.7197,
+      "mean_token_accuracy": 0.2092713624238968,
+      "num_tokens": 11017844.0,
+      "step": 6045
+    },
+    {
+      "entropy": 5.362998294830322,
+      "epoch": 5.012427506213753,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003056457546304326,
+      "loss": 4.7531,
+      "mean_token_accuracy": 0.21363187432289124,
+      "num_tokens": 11026840.0,
+      "step": 6050
+    },
+    {
+      "entropy": 5.250718975067139,
+      "epoch": 5.016570008285004,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003053291455903782,
+      "loss": 4.7186,
+      "mean_token_accuracy": 0.2076275572180748,
+      "num_tokens": 11034906.0,
+      "step": 6055
+    },
+    {
+      "entropy": 5.263190746307373,
+      "epoch": 5.0207125103562555,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00030501247537312293,
+      "loss": 4.7802,
+      "mean_token_accuracy": 0.20651286244392394,
+      "num_tokens": 11044403.0,
+      "step": 6060
+    },
+    {
+      "entropy": 5.360515308380127,
+      "epoch": 5.024855012427507,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0003046957446174251,
+      "loss": 4.7387,
+      "mean_token_accuracy": 0.21264788061380385,
+      "num_tokens": 11052685.0,
+      "step": 6065
+    },
+    {
+      "entropy": 5.316996622085571,
+      "epoch": 5.028997514498757,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00030437895396216524,
+      "loss": 4.591,
+      "mean_token_accuracy": 0.21709324419498444,
+      "num_tokens": 11060830.0,
+      "step": 6070
+    },
+    {
+      "entropy": 5.315813970565796,
+      "epoch": 5.033140016570008,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.00030406210404634475,
+      "loss": 4.7708,
+      "mean_token_accuracy": 0.20373892933130264,
+      "num_tokens": 11070220.0,
+      "step": 6075
+    },
+    {
+      "entropy": 5.294347095489502,
+      "epoch": 5.037282518641259,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003037451955090846,
+      "loss": 4.6847,
+      "mean_token_accuracy": 0.20420003384351731,
+      "num_tokens": 11079171.0,
+      "step": 6080
+    },
+    {
+      "entropy": 5.297221279144287,
+      "epoch": 5.04142502071251,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00030342822898962377,
+      "loss": 4.7697,
+      "mean_token_accuracy": 0.20524269640445708,
+      "num_tokens": 11089205.0,
+      "step": 6085
+    },
+    {
+      "entropy": 5.273457336425781,
+      "epoch": 5.045567522783761,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003031112051273185,
+      "loss": 4.7429,
+      "mean_token_accuracy": 0.21156702935695648,
+      "num_tokens": 11098339.0,
+      "step": 6090
+    },
+    {
+      "entropy": 5.299424123764038,
+      "epoch": 5.049710024855012,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003027941245616405,
+      "loss": 4.6524,
+      "mean_token_accuracy": 0.21203886568546296,
+      "num_tokens": 11107218.0,
+      "step": 6095
+    },
+    {
+      "entropy": 5.3286974906921385,
+      "epoch": 5.0538525269262635,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003024769879321761,
+      "loss": 4.7702,
+      "mean_token_accuracy": 0.2051073744893074,
+      "num_tokens": 11116457.0,
+      "step": 6100
+    },
+    {
+      "entropy": 5.300696182250976,
+      "epoch": 5.057995028997515,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0003021597958786243,
+      "loss": 4.7449,
+      "mean_token_accuracy": 0.20762935131788254,
+      "num_tokens": 11124834.0,
+      "step": 6105
+    },
+    {
+      "entropy": 5.288244676589966,
+      "epoch": 5.062137531068766,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003018425490407962,
+      "loss": 4.76,
+      "mean_token_accuracy": 0.20868725776672364,
+      "num_tokens": 11133920.0,
+      "step": 6110
+    },
+    {
+      "entropy": 5.387529897689819,
+      "epoch": 5.066280033140017,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00030152524805861344,
+      "loss": 4.7597,
+      "mean_token_accuracy": 0.20800695270299913,
+      "num_tokens": 11143573.0,
+      "step": 6115
+    },
+    {
+      "entropy": 5.3629701137542725,
+      "epoch": 5.070422535211268,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00030120789357210667,
+      "loss": 4.8139,
+      "mean_token_accuracy": 0.20669919848442078,
+      "num_tokens": 11154255.0,
+      "step": 6120
+    },
+    {
+      "entropy": 5.300123262405395,
+      "epoch": 5.074565037282519,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00030089048622141453,
+      "loss": 4.7241,
+      "mean_token_accuracy": 0.2095050945878029,
+      "num_tokens": 11163306.0,
+      "step": 6125
+    },
+    {
+      "entropy": 5.368470001220703,
+      "epoch": 5.078707539353769,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00030057302664678243,
+      "loss": 4.7569,
+      "mean_token_accuracy": 0.20853464156389237,
+      "num_tokens": 11172763.0,
+      "step": 6130
+    },
+    {
+      "entropy": 5.33392744064331,
+      "epoch": 5.08285004142502,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00030025551548856105,
+      "loss": 4.7413,
+      "mean_token_accuracy": 0.20951523035764694,
+      "num_tokens": 11182196.0,
+      "step": 6135
+    },
+    {
+      "entropy": 5.287980794906616,
+      "epoch": 5.0869925434962715,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002999379533872051,
+      "loss": 4.7905,
+      "mean_token_accuracy": 0.19804110527038574,
+      "num_tokens": 11192462.0,
+      "step": 6140
+    },
+    {
+      "entropy": 5.281665325164795,
+      "epoch": 5.091135045567523,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002996203409832719,
+      "loss": 4.7519,
+      "mean_token_accuracy": 0.2107569918036461,
+      "num_tokens": 11201805.0,
+      "step": 6145
+    },
+    {
+      "entropy": 5.31660532951355,
+      "epoch": 5.095277547638774,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002993026789174205,
+      "loss": 4.7322,
+      "mean_token_accuracy": 0.21754502654075622,
+      "num_tokens": 11210114.0,
+      "step": 6150
+    },
+    {
+      "entropy": 5.335706996917724,
+      "epoch": 5.099420049710025,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002989849678304099,
+      "loss": 4.8147,
+      "mean_token_accuracy": 0.20241696387529373,
+      "num_tokens": 11219725.0,
+      "step": 6155
+    },
+    {
+      "entropy": 5.308135366439819,
+      "epoch": 5.103562551781276,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00029866720836309817,
+      "loss": 4.7283,
+      "mean_token_accuracy": 0.20736500322818757,
+      "num_tokens": 11228583.0,
+      "step": 6160
+    },
+    {
+      "entropy": 5.3292882442474365,
+      "epoch": 5.107705053852527,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00029834940115644086,
+      "loss": 4.7472,
+      "mean_token_accuracy": 0.20635622441768647,
+      "num_tokens": 11237787.0,
+      "step": 6165
+    },
+    {
+      "entropy": 5.2917111873626705,
+      "epoch": 5.111847555923778,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002980315468514898,
+      "loss": 4.7704,
+      "mean_token_accuracy": 0.20057149082422257,
+      "num_tokens": 11247136.0,
+      "step": 6170
+    },
+    {
+      "entropy": 5.239889097213745,
+      "epoch": 5.115990057995029,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00029771364608939196,
+      "loss": 4.6994,
+      "mean_token_accuracy": 0.20981708765029908,
+      "num_tokens": 11256931.0,
+      "step": 6175
+    },
+    {
+      "entropy": 5.272354030609131,
+      "epoch": 5.12013256006628,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002973956995113878,
+      "loss": 4.6811,
+      "mean_token_accuracy": 0.20489206910133362,
+      "num_tokens": 11266457.0,
+      "step": 6180
+    },
+    {
+      "entropy": 5.272558641433716,
+      "epoch": 5.1242750621375315,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.0002970777077588103,
+      "loss": 4.6443,
+      "mean_token_accuracy": 0.2170465260744095,
+      "num_tokens": 11274239.0,
+      "step": 6185
+    },
+    {
+      "entropy": 5.282349872589111,
+      "epoch": 5.128417564208782,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0002967596714730837,
+      "loss": 4.7752,
+      "mean_token_accuracy": 0.20363858938217164,
+      "num_tokens": 11283239.0,
+      "step": 6190
+    },
+    {
+      "entropy": 5.285331869125367,
+      "epoch": 5.132560066280033,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00029644159129572185,
+      "loss": 4.7121,
+      "mean_token_accuracy": 0.2075791761279106,
+      "num_tokens": 11291662.0,
+      "step": 6195
+    },
+    {
+      "entropy": 5.2614960193634035,
+      "epoch": 5.136702568351284,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002961234678683272,
+      "loss": 4.7453,
+      "mean_token_accuracy": 0.21309943348169327,
+      "num_tokens": 11300165.0,
+      "step": 6200
+    },
+    {
+      "entropy": 5.323043155670166,
+      "epoch": 5.140845070422535,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0002958053018325896,
+      "loss": 4.7132,
+      "mean_token_accuracy": 0.21612811386585234,
+      "num_tokens": 11309729.0,
+      "step": 6205
+    },
+    {
+      "entropy": 5.375712585449219,
+      "epoch": 5.144987572493786,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002954870938302846,
+      "loss": 4.7657,
+      "mean_token_accuracy": 0.2033802881836891,
+      "num_tokens": 11318674.0,
+      "step": 6210
+    },
+    {
+      "entropy": 5.292187595367432,
+      "epoch": 5.149130074565037,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002951688445032726,
+      "loss": 4.7309,
+      "mean_token_accuracy": 0.21144932359457017,
+      "num_tokens": 11327583.0,
+      "step": 6215
+    },
+    {
+      "entropy": 5.326848030090332,
+      "epoch": 5.153272576636288,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002948505544934971,
+      "loss": 4.7639,
+      "mean_token_accuracy": 0.2049189493060112,
+      "num_tokens": 11338132.0,
+      "step": 6220
+    },
+    {
+      "entropy": 5.31851224899292,
+      "epoch": 5.1574150787075395,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000294532224442984,
+      "loss": 4.7911,
+      "mean_token_accuracy": 0.20397177040576936,
+      "num_tokens": 11347210.0,
+      "step": 6225
+    },
+    {
+      "entropy": 5.275168132781983,
+      "epoch": 5.161557580778791,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00029421385499383976,
+      "loss": 4.6742,
+      "mean_token_accuracy": 0.22349916100502015,
+      "num_tokens": 11355479.0,
+      "step": 6230
+    },
+    {
+      "entropy": 5.348278999328613,
+      "epoch": 5.165700082850042,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00029389544678825035,
+      "loss": 4.8403,
+      "mean_token_accuracy": 0.19372698813676834,
+      "num_tokens": 11364518.0,
+      "step": 6235
+    },
+    {
+      "entropy": 5.247139596939087,
+      "epoch": 5.169842584921293,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00029357700046847985,
+      "loss": 4.737,
+      "mean_token_accuracy": 0.2046540141105652,
+      "num_tokens": 11373589.0,
+      "step": 6240
+    },
+    {
+      "entropy": 5.368101263046265,
+      "epoch": 5.173985086992544,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002932585166768694,
+      "loss": 4.7938,
+      "mean_token_accuracy": 0.20394597351551055,
+      "num_tokens": 11383209.0,
+      "step": 6245
+    },
+    {
+      "entropy": 5.315500497817993,
+      "epoch": 5.178127589063794,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00029293999605583545,
+      "loss": 4.7294,
+      "mean_token_accuracy": 0.20444581657648087,
+      "num_tokens": 11392012.0,
+      "step": 6250
+    },
+    {
+      "entropy": 5.282355690002442,
+      "epoch": 5.182270091135045,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00029262143924786905,
+      "loss": 4.7761,
+      "mean_token_accuracy": 0.20456164181232453,
+      "num_tokens": 11400489.0,
+      "step": 6255
+    },
+    {
+      "entropy": 5.2667319774627686,
+      "epoch": 5.186412593206296,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00029230284689553404,
+      "loss": 4.6817,
+      "mean_token_accuracy": 0.21175160706043245,
+      "num_tokens": 11409337.0,
+      "step": 6260
+    },
+    {
+      "entropy": 5.286681175231934,
+      "epoch": 5.190555095277547,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00029198421964146605,
+      "loss": 4.7382,
+      "mean_token_accuracy": 0.21787525415420533,
+      "num_tokens": 11418650.0,
+      "step": 6265
+    },
+    {
+      "entropy": 5.2383523941040036,
+      "epoch": 5.1946975973487985,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002916655581283709,
+      "loss": 4.747,
+      "mean_token_accuracy": 0.20590767711400987,
+      "num_tokens": 11427516.0,
+      "step": 6270
+    },
+    {
+      "entropy": 5.225810289382935,
+      "epoch": 5.19884009942005,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00029134686299902397,
+      "loss": 4.7223,
+      "mean_token_accuracy": 0.20668105334043502,
+      "num_tokens": 11435676.0,
+      "step": 6275
+    },
+    {
+      "entropy": 5.336339044570923,
+      "epoch": 5.202982601491301,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002910281348962679,
+      "loss": 4.7825,
+      "mean_token_accuracy": 0.1937339723110199,
+      "num_tokens": 11444520.0,
+      "step": 6280
+    },
+    {
+      "entropy": 5.342389440536499,
+      "epoch": 5.207125103562552,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00029070937446301225,
+      "loss": 4.7611,
+      "mean_token_accuracy": 0.20350439995527267,
+      "num_tokens": 11453759.0,
+      "step": 6285
+    },
+    {
+      "entropy": 5.377904796600342,
+      "epoch": 5.211267605633803,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002903905823422317,
+      "loss": 4.9078,
+      "mean_token_accuracy": 0.1901518851518631,
+      "num_tokens": 11463409.0,
+      "step": 6290
+    },
+    {
+      "entropy": 5.323945093154907,
+      "epoch": 5.215410107705054,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002900717591769646,
+      "loss": 4.7966,
+      "mean_token_accuracy": 0.20510322898626326,
+      "num_tokens": 11473440.0,
+      "step": 6295
+    },
+    {
+      "entropy": 5.27484130859375,
+      "epoch": 5.219552609776305,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002897529056103122,
+      "loss": 4.6336,
+      "mean_token_accuracy": 0.2183629482984543,
+      "num_tokens": 11482353.0,
+      "step": 6300
+    },
+    {
+      "entropy": 5.297479438781738,
+      "epoch": 5.223695111847556,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002894340222854371,
+      "loss": 4.7712,
+      "mean_token_accuracy": 0.20640946179628372,
+      "num_tokens": 11491331.0,
+      "step": 6305
+    },
+    {
+      "entropy": 5.215849542617798,
+      "epoch": 5.2278376139188065,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002891151098455617,
+      "loss": 4.7107,
+      "mean_token_accuracy": 0.20350281596183778,
+      "num_tokens": 11500553.0,
+      "step": 6310
+    },
+    {
+      "entropy": 5.170541191101075,
+      "epoch": 5.231980115990058,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002887961689339672,
+      "loss": 4.6526,
+      "mean_token_accuracy": 0.21051572561264037,
+      "num_tokens": 11509146.0,
+      "step": 6315
+    },
+    {
+      "entropy": 5.332199335098267,
+      "epoch": 5.236122618061309,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002884772001939924,
+      "loss": 4.7771,
+      "mean_token_accuracy": 0.20190449655056,
+      "num_tokens": 11518172.0,
+      "step": 6320
+    },
+    {
+      "entropy": 5.30375485420227,
+      "epoch": 5.24026512013256,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000288158204269032,
+      "loss": 4.7764,
+      "mean_token_accuracy": 0.19927115142345428,
+      "num_tokens": 11527291.0,
+      "step": 6325
+    },
+    {
+      "entropy": 5.285002279281616,
+      "epoch": 5.244407622203811,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00028783918180253567,
+      "loss": 4.7763,
+      "mean_token_accuracy": 0.20877851247787477,
+      "num_tokens": 11536306.0,
+      "step": 6330
+    },
+    {
+      "entropy": 5.325639486312866,
+      "epoch": 5.248550124275062,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002875201334380066,
+      "loss": 4.801,
+      "mean_token_accuracy": 0.20768691897392272,
+      "num_tokens": 11545879.0,
+      "step": 6335
+    },
+    {
+      "entropy": 5.260626125335693,
+      "epoch": 5.252692626346313,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002872010598190002,
+      "loss": 4.7203,
+      "mean_token_accuracy": 0.21331494748592378,
+      "num_tokens": 11555067.0,
+      "step": 6340
+    },
+    {
+      "entropy": 5.273142910003662,
+      "epoch": 5.256835128417564,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002868819615891229,
+      "loss": 4.699,
+      "mean_token_accuracy": 0.211579430103302,
+      "num_tokens": 11563419.0,
+      "step": 6345
+    },
+    {
+      "entropy": 5.256633758544922,
+      "epoch": 5.260977630488815,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002865628393920305,
+      "loss": 4.7696,
+      "mean_token_accuracy": 0.207663132250309,
+      "num_tokens": 11573018.0,
+      "step": 6350
+    },
+    {
+      "entropy": 5.237578821182251,
+      "epoch": 5.2651201325600665,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.0002862436938714276,
+      "loss": 4.7003,
+      "mean_token_accuracy": 0.20862672179937364,
+      "num_tokens": 11581996.0,
+      "step": 6355
+    },
+    {
+      "entropy": 5.355519008636475,
+      "epoch": 5.269262634631318,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002859245256710654,
+      "loss": 4.7534,
+      "mean_token_accuracy": 0.20775581747293473,
+      "num_tokens": 11591706.0,
+      "step": 6360
+    },
+    {
+      "entropy": 5.319948673248291,
+      "epoch": 5.273405136702569,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002856053354347411,
+      "loss": 4.7813,
+      "mean_token_accuracy": 0.2074725329875946,
+      "num_tokens": 11600616.0,
+      "step": 6365
+    },
+    {
+      "entropy": 5.243834018707275,
+      "epoch": 5.27754763877382,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002852861238062963,
+      "loss": 4.6584,
+      "mean_token_accuracy": 0.21568063348531724,
+      "num_tokens": 11609650.0,
+      "step": 6370
+    },
+    {
+      "entropy": 5.26465950012207,
+      "epoch": 5.28169014084507,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002849668914296157,
+      "loss": 4.6998,
+      "mean_token_accuracy": 0.21142313480377198,
+      "num_tokens": 11618785.0,
+      "step": 6375
+    },
+    {
+      "entropy": 5.305418300628662,
+      "epoch": 5.285832642916321,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000284647638948626,
+      "loss": 4.7576,
+      "mean_token_accuracy": 0.20556087791919708,
+      "num_tokens": 11628089.0,
+      "step": 6380
+    },
+    {
+      "entropy": 5.268257570266724,
+      "epoch": 5.289975144987572,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002843283670072942,
+      "loss": 4.8658,
+      "mean_token_accuracy": 0.19545172303915023,
+      "num_tokens": 11636954.0,
+      "step": 6385
+    },
+    {
+      "entropy": 5.275126600265503,
+      "epoch": 5.294117647058823,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0002840090762496268,
+      "loss": 4.7803,
+      "mean_token_accuracy": 0.20498874336481093,
+      "num_tokens": 11646719.0,
+      "step": 6390
+    },
+    {
+      "entropy": 5.340854024887085,
+      "epoch": 5.2982601491300745,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002836897673196681,
+      "loss": 4.7015,
+      "mean_token_accuracy": 0.20719585418701172,
+      "num_tokens": 11655589.0,
+      "step": 6395
+    },
+    {
+      "entropy": 5.227226972579956,
+      "epoch": 5.302402651201326,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00028337044086149913,
+      "loss": 4.7283,
+      "mean_token_accuracy": 0.20560554265975953,
+      "num_tokens": 11663703.0,
+      "step": 6400
+    },
+    {
+      "entropy": 5.296469211578369,
+      "epoch": 5.306545153272577,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00028305109751923616,
+      "loss": 4.8177,
+      "mean_token_accuracy": 0.20388006865978242,
+      "num_tokens": 11672643.0,
+      "step": 6405
+    },
+    {
+      "entropy": 5.270711994171142,
+      "epoch": 5.310687655343828,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00028273173793702967,
+      "loss": 4.673,
+      "mean_token_accuracy": 0.2078327417373657,
+      "num_tokens": 11681449.0,
+      "step": 6410
+    },
+    {
+      "entropy": 5.301759338378906,
+      "epoch": 5.314830157415079,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002824123627590629,
+      "loss": 4.7568,
+      "mean_token_accuracy": 0.19922166019678117,
+      "num_tokens": 11690820.0,
+      "step": 6415
+    },
+    {
+      "entropy": 5.291653823852539,
+      "epoch": 5.31897265948633,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002820929726295504,
+      "loss": 4.7858,
+      "mean_token_accuracy": 0.2068773627281189,
+      "num_tokens": 11699705.0,
+      "step": 6420
+    },
+    {
+      "entropy": 5.257635831832886,
+      "epoch": 5.323115161557581,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002817735681927371,
+      "loss": 4.7267,
+      "mean_token_accuracy": 0.21190525144338607,
+      "num_tokens": 11709417.0,
+      "step": 6425
+    },
+    {
+      "entropy": 5.305531692504883,
+      "epoch": 5.327257663628831,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00028145415009289644,
+      "loss": 4.7662,
+      "mean_token_accuracy": 0.2035451725125313,
+      "num_tokens": 11718661.0,
+      "step": 6430
+    },
+    {
+      "entropy": 5.240819025039673,
+      "epoch": 5.3314001657000825,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002811347189743297,
+      "loss": 4.7448,
+      "mean_token_accuracy": 0.21049206256866454,
+      "num_tokens": 11727568.0,
+      "step": 6435
+    },
+    {
+      "entropy": 5.250747394561768,
+      "epoch": 5.335542667771334,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00028081527548136446,
+      "loss": 4.6853,
+      "mean_token_accuracy": 0.2216053858399391,
+      "num_tokens": 11736615.0,
+      "step": 6440
+    },
+    {
+      "entropy": 5.348236608505249,
+      "epoch": 5.339685169842585,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002804958202583531,
+      "loss": 4.8181,
+      "mean_token_accuracy": 0.19986798763275146,
+      "num_tokens": 11747458.0,
+      "step": 6445
+    },
+    {
+      "entropy": 5.277511358261108,
+      "epoch": 5.343827671913836,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002801763539496718,
+      "loss": 4.7878,
+      "mean_token_accuracy": 0.2081502467393875,
+      "num_tokens": 11756279.0,
+      "step": 6450
+    },
+    {
+      "entropy": 5.279990530014038,
+      "epoch": 5.347970173985087,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002798568771997188,
+      "loss": 4.7942,
+      "mean_token_accuracy": 0.2071585923433304,
+      "num_tokens": 11765022.0,
+      "step": 6455
+    },
+    {
+      "entropy": 5.2339942932128904,
+      "epoch": 5.352112676056338,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002795373906529137,
+      "loss": 4.7376,
+      "mean_token_accuracy": 0.20560838282108307,
+      "num_tokens": 11774704.0,
+      "step": 6460
+    },
+    {
+      "entropy": 5.248803615570068,
+      "epoch": 5.356255178127589,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002792178949536959,
+      "loss": 4.6784,
+      "mean_token_accuracy": 0.21611350923776626,
+      "num_tokens": 11782309.0,
+      "step": 6465
+    },
+    {
+      "entropy": 5.28652811050415,
+      "epoch": 5.36039768019884,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000278898390746523,
+      "loss": 4.7467,
+      "mean_token_accuracy": 0.20095686316490174,
+      "num_tokens": 11792595.0,
+      "step": 6470
+    },
+    {
+      "entropy": 5.2047077178955075,
+      "epoch": 5.364540182270091,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00027857887867587005,
+      "loss": 4.7269,
+      "mean_token_accuracy": 0.21140239089727403,
+      "num_tokens": 11801536.0,
+      "step": 6475
+    },
+    {
+      "entropy": 5.271708583831787,
+      "epoch": 5.368682684341342,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002782593593862276,
+      "loss": 4.8229,
+      "mean_token_accuracy": 0.19779271334409715,
+      "num_tokens": 11810222.0,
+      "step": 6480
+    },
+    {
+      "entropy": 5.317666244506836,
+      "epoch": 5.3728251864125935,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002779398335221011,
+      "loss": 4.8066,
+      "mean_token_accuracy": 0.20721431225538253,
+      "num_tokens": 11819310.0,
+      "step": 6485
+    },
+    {
+      "entropy": 5.305458688735962,
+      "epoch": 5.376967688483845,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.0002776203017280092,
+      "loss": 4.7703,
+      "mean_token_accuracy": 0.19982181042432784,
+      "num_tokens": 11827916.0,
+      "step": 6490
+    },
+    {
+      "entropy": 5.217341518402099,
+      "epoch": 5.381110190555095,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00027730076464848225,
+      "loss": 4.7654,
+      "mean_token_accuracy": 0.20862893313169478,
+      "num_tokens": 11836770.0,
+      "step": 6495
+    },
+    {
+      "entropy": 5.276216888427735,
+      "epoch": 5.385252692626346,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00027698122292806174,
+      "loss": 4.7006,
+      "mean_token_accuracy": 0.21164953708648682,
+      "num_tokens": 11845917.0,
+      "step": 6500
+    },
+    {
+      "epoch": 5.385252692626346,
+      "eval_entropy": 5.213927641097925,
+      "eval_loss": 5.769200801849365,
+      "eval_mean_token_accuracy": 0.16407465213524508,
+      "eval_num_tokens": 11845917.0,
+      "eval_runtime": 2.9494,
+      "eval_samples_per_second": 1270.426,
+      "eval_steps_per_second": 159.015,
+      "step": 6500
+    },
+    {
+      "entropy": 5.290333843231201,
+      "epoch": 5.389395194697597,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.000276661677211298,
+      "loss": 4.7403,
+      "mean_token_accuracy": 0.20341738760471345,
+      "num_tokens": 11855118.0,
+      "step": 6505
+    },
+    {
+      "entropy": 5.278094148635864,
+      "epoch": 5.393537696768848,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002763421281427497,
+      "loss": 4.6794,
+      "mean_token_accuracy": 0.21257141679525376,
+      "num_tokens": 11863793.0,
+      "step": 6510
+    },
+    {
+      "entropy": 5.368717813491822,
+      "epoch": 5.397680198840099,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002760225763669823,
+      "loss": 4.8171,
+      "mean_token_accuracy": 0.197501078248024,
+      "num_tokens": 11873194.0,
+      "step": 6515
+    },
+    {
+      "entropy": 5.341726636886596,
+      "epoch": 5.40182270091135,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00027570302252856666,
+      "loss": 4.7747,
+      "mean_token_accuracy": 0.20519590526819229,
+      "num_tokens": 11882566.0,
+      "step": 6520
+    },
+    {
+      "entropy": 5.2676441192626955,
+      "epoch": 5.4059652029826015,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00027538346727207767,
+      "loss": 4.7475,
+      "mean_token_accuracy": 0.21314287781715394,
+      "num_tokens": 11892267.0,
+      "step": 6525
+    },
+    {
+      "entropy": 5.272220420837402,
+      "epoch": 5.410107705053853,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002750639112420934,
+      "loss": 4.7716,
+      "mean_token_accuracy": 0.21124217808246612,
+      "num_tokens": 11901440.0,
+      "step": 6530
+    },
+    {
+      "entropy": 5.270874547958374,
+      "epoch": 5.414250207125104,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00027474435508319304,
+      "loss": 4.8396,
+      "mean_token_accuracy": 0.20556266158819197,
+      "num_tokens": 11911259.0,
+      "step": 6535
+    },
+    {
+      "entropy": 5.265343093872071,
+      "epoch": 5.418392709196355,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00027442479943995645,
+      "loss": 4.7941,
+      "mean_token_accuracy": 0.2035036563873291,
+      "num_tokens": 11920467.0,
+      "step": 6540
+    },
+    {
+      "entropy": 5.283535575866699,
+      "epoch": 5.422535211267606,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002741052449569624,
+      "loss": 4.8089,
+      "mean_token_accuracy": 0.19865555614233016,
+      "num_tokens": 11929971.0,
+      "step": 6545
+    },
+    {
+      "entropy": 5.330445003509522,
+      "epoch": 5.426677713338857,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002737856922787869,
+      "loss": 4.8088,
+      "mean_token_accuracy": 0.19926221221685408,
+      "num_tokens": 11938585.0,
+      "step": 6550
+    },
+    {
+      "entropy": 5.301173543930053,
+      "epoch": 5.430820215410108,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027346614205000277,
+      "loss": 4.7884,
+      "mean_token_accuracy": 0.20320066064596176,
+      "num_tokens": 11948264.0,
+      "step": 6555
+    },
+    {
+      "entropy": 5.329202175140381,
+      "epoch": 5.434962717481358,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00027314659491517777,
+      "loss": 4.7827,
+      "mean_token_accuracy": 0.2079697236418724,
+      "num_tokens": 11958459.0,
+      "step": 6560
+    },
+    {
+      "entropy": 5.296626996994019,
+      "epoch": 5.4391052195526095,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002728270515188733,
+      "loss": 4.7728,
+      "mean_token_accuracy": 0.20527158677577972,
+      "num_tokens": 11967994.0,
+      "step": 6565
+    },
+    {
+      "entropy": 5.325187683105469,
+      "epoch": 5.443247721623861,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002725075125056435,
+      "loss": 4.8235,
+      "mean_token_accuracy": 0.21111733317375184,
+      "num_tokens": 11976564.0,
+      "step": 6570
+    },
+    {
+      "entropy": 5.296580266952515,
+      "epoch": 5.447390223695112,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002721879785200333,
+      "loss": 4.7541,
+      "mean_token_accuracy": 0.21026979386806488,
+      "num_tokens": 11985682.0,
+      "step": 6575
+    },
+    {
+      "entropy": 5.34701886177063,
+      "epoch": 5.451532725766363,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002718684502065777,
+      "loss": 4.8138,
+      "mean_token_accuracy": 0.20367322415113448,
+      "num_tokens": 11995098.0,
+      "step": 6580
+    },
+    {
+      "entropy": 5.3261590003967285,
+      "epoch": 5.455675227837614,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00027154892820980024,
+      "loss": 4.8096,
+      "mean_token_accuracy": 0.206008443236351,
+      "num_tokens": 12004538.0,
+      "step": 6585
+    },
+    {
+      "entropy": 5.262662792205811,
+      "epoch": 5.459817729908865,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00027122941317421175,
+      "loss": 4.741,
+      "mean_token_accuracy": 0.21086378544569015,
+      "num_tokens": 12012568.0,
+      "step": 6590
+    },
+    {
+      "entropy": 5.287980222702027,
+      "epoch": 5.463960231980116,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000270909905744309,
+      "loss": 4.776,
+      "mean_token_accuracy": 0.20741475820541383,
+      "num_tokens": 12021934.0,
+      "step": 6595
+    },
+    {
+      "entropy": 5.313226222991943,
+      "epoch": 5.468102734051367,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00027059040656457316,
+      "loss": 4.8104,
+      "mean_token_accuracy": 0.2010733589529991,
+      "num_tokens": 12031158.0,
+      "step": 6600
+    },
+    {
+      "entropy": 5.3314722061157225,
+      "epoch": 5.472245236122618,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002702709162794692,
+      "loss": 4.8078,
+      "mean_token_accuracy": 0.20088913142681122,
+      "num_tokens": 12040392.0,
+      "step": 6605
+    },
+    {
+      "entropy": 5.248980331420898,
+      "epoch": 5.4763877381938695,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00026995143553344394,
+      "loss": 4.6481,
+      "mean_token_accuracy": 0.21935920119285585,
+      "num_tokens": 12048412.0,
+      "step": 6610
+    },
+    {
+      "entropy": 5.258455896377564,
+      "epoch": 5.48053024026512,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00026963196497092483,
+      "loss": 4.7625,
+      "mean_token_accuracy": 0.20619691014289857,
+      "num_tokens": 12057681.0,
+      "step": 6615
+    },
+    {
+      "entropy": 5.290913534164429,
+      "epoch": 5.484672742336371,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00026931250523631905,
+      "loss": 4.7451,
+      "mean_token_accuracy": 0.20713003873825073,
+      "num_tokens": 12066243.0,
+      "step": 6620
+    },
+    {
+      "entropy": 5.215484523773194,
+      "epoch": 5.488815244407622,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026899305697401175,
+      "loss": 4.7545,
+      "mean_token_accuracy": 0.20806889086961747,
+      "num_tokens": 12075312.0,
+      "step": 6625
+    },
+    {
+      "entropy": 5.231590509414673,
+      "epoch": 5.492957746478873,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002686736208283649,
+      "loss": 4.7629,
+      "mean_token_accuracy": 0.20990005433559417,
+      "num_tokens": 12083990.0,
+      "step": 6630
+    },
+    {
+      "entropy": 5.376721620559692,
+      "epoch": 5.497100248550124,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00026835419744371627,
+      "loss": 4.8732,
+      "mean_token_accuracy": 0.19839346706867217,
+      "num_tokens": 12093301.0,
+      "step": 6635
+    },
+    {
+      "entropy": 5.241463851928711,
+      "epoch": 5.501242750621375,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002680347874643775,
+      "loss": 4.6882,
+      "mean_token_accuracy": 0.21418087482452391,
+      "num_tokens": 12102054.0,
+      "step": 6640
+    },
+    {
+      "entropy": 5.262872982025146,
+      "epoch": 5.505385252692626,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002677153915346336,
+      "loss": 4.7708,
+      "mean_token_accuracy": 0.20341249853372573,
+      "num_tokens": 12111432.0,
+      "step": 6645
+    },
+    {
+      "entropy": 5.237018823623657,
+      "epoch": 5.5095277547638775,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002673960102987412,
+      "loss": 4.7032,
+      "mean_token_accuracy": 0.21349260658025743,
+      "num_tokens": 12120424.0,
+      "step": 6650
+    },
+    {
+      "entropy": 5.301366519927979,
+      "epoch": 5.513670256835129,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00026707664440092676,
+      "loss": 4.8377,
+      "mean_token_accuracy": 0.20626042485237123,
+      "num_tokens": 12130210.0,
+      "step": 6655
+    },
+    {
+      "entropy": 5.414148330688477,
+      "epoch": 5.51781275890638,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00026675729448538655,
+      "loss": 4.8269,
+      "mean_token_accuracy": 0.21095569282770157,
+      "num_tokens": 12139366.0,
+      "step": 6660
+    },
+    {
+      "entropy": 5.2740867137908936,
+      "epoch": 5.521955260977631,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00026643796119628404,
+      "loss": 4.6432,
+      "mean_token_accuracy": 0.21321782022714614,
+      "num_tokens": 12148385.0,
+      "step": 6665
+    },
+    {
+      "entropy": 5.290845537185669,
+      "epoch": 5.526097763048882,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002661186451777495,
+      "loss": 4.7822,
+      "mean_token_accuracy": 0.20492887496948242,
+      "num_tokens": 12156640.0,
+      "step": 6670
+    },
+    {
+      "entropy": 5.280693674087525,
+      "epoch": 5.530240265120133,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002657993470738781,
+      "loss": 4.8587,
+      "mean_token_accuracy": 0.19673615247011184,
+      "num_tokens": 12166532.0,
+      "step": 6675
+    },
+    {
+      "entropy": 5.24079852104187,
+      "epoch": 5.534382767191383,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026548006752872915,
+      "loss": 4.6934,
+      "mean_token_accuracy": 0.2146509751677513,
+      "num_tokens": 12175239.0,
+      "step": 6680
+    },
+    {
+      "entropy": 5.243715524673462,
+      "epoch": 5.538525269262634,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002651608071863244,
+      "loss": 4.7611,
+      "mean_token_accuracy": 0.20688466280698775,
+      "num_tokens": 12184588.0,
+      "step": 6685
+    },
+    {
+      "entropy": 5.333131456375122,
+      "epoch": 5.542667771333885,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00026484156669064665,
+      "loss": 4.8177,
+      "mean_token_accuracy": 0.20230551064014435,
+      "num_tokens": 12194140.0,
+      "step": 6690
+    },
+    {
+      "entropy": 5.310734224319458,
+      "epoch": 5.5468102734051365,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.000264522346685639,
+      "loss": 4.8193,
+      "mean_token_accuracy": 0.20696787536144257,
+      "num_tokens": 12203504.0,
+      "step": 6695
+    },
+    {
+      "entropy": 5.33381724357605,
+      "epoch": 5.550952775476388,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0002642031478152031,
+      "loss": 4.7782,
+      "mean_token_accuracy": 0.207833394408226,
+      "num_tokens": 12212594.0,
+      "step": 6700
+    },
+    {
+      "entropy": 5.3383890151977536,
+      "epoch": 5.555095277547639,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00026388397072319786,
+      "loss": 4.8162,
+      "mean_token_accuracy": 0.2045178234577179,
+      "num_tokens": 12222101.0,
+      "step": 6705
+    },
+    {
+      "entropy": 5.29089732170105,
+      "epoch": 5.55923777961889,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002635648160534385,
+      "loss": 4.8118,
+      "mean_token_accuracy": 0.20435990989208222,
+      "num_tokens": 12232118.0,
+      "step": 6710
+    },
+    {
+      "entropy": 5.352822351455688,
+      "epoch": 5.563380281690141,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026324568444969473,
+      "loss": 4.7439,
+      "mean_token_accuracy": 0.20706239342689514,
+      "num_tokens": 12241275.0,
+      "step": 6715
+    },
+    {
+      "entropy": 5.245583724975586,
+      "epoch": 5.567522783761392,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026292657655569,
+      "loss": 4.7375,
+      "mean_token_accuracy": 0.21279312521219254,
+      "num_tokens": 12251125.0,
+      "step": 6720
+    },
+    {
+      "entropy": 5.229356813430786,
+      "epoch": 5.571665285832643,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00026260749301509954,
+      "loss": 4.7241,
+      "mean_token_accuracy": 0.21198077648878097,
+      "num_tokens": 12260613.0,
+      "step": 6725
+    },
+    {
+      "entropy": 5.324583339691162,
+      "epoch": 5.575807787903894,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026228843447155005,
+      "loss": 4.733,
+      "mean_token_accuracy": 0.2107634127140045,
+      "num_tokens": 12269878.0,
+      "step": 6730
+    },
+    {
+      "entropy": 5.270222854614258,
+      "epoch": 5.5799502899751445,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00026196940156861736,
+      "loss": 4.7819,
+      "mean_token_accuracy": 0.20616225749254227,
+      "num_tokens": 12278616.0,
+      "step": 6735
+    },
+    {
+      "entropy": 5.194797945022583,
+      "epoch": 5.584092792046396,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00026165039494982555,
+      "loss": 4.7068,
+      "mean_token_accuracy": 0.2110671728849411,
+      "num_tokens": 12287104.0,
+      "step": 6740
+    },
+    {
+      "entropy": 5.187378549575806,
+      "epoch": 5.588235294117647,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00026133141525864605,
+      "loss": 4.7357,
+      "mean_token_accuracy": 0.20822987705469131,
+      "num_tokens": 12296503.0,
+      "step": 6745
+    },
+    {
+      "entropy": 5.294446992874145,
+      "epoch": 5.592377796188898,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00026101246313849557,
+      "loss": 4.6989,
+      "mean_token_accuracy": 0.2123148426413536,
+      "num_tokens": 12306298.0,
+      "step": 6750
+    },
+    {
+      "entropy": 5.2862865924835205,
+      "epoch": 5.596520298260149,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0002606935392327356,
+      "loss": 4.7664,
+      "mean_token_accuracy": 0.20611962229013442,
+      "num_tokens": 12314826.0,
+      "step": 6755
+    },
+    {
+      "entropy": 5.258157396316529,
+      "epoch": 5.6006628003314,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00026037464418467035,
+      "loss": 4.7079,
+      "mean_token_accuracy": 0.21357058137655258,
+      "num_tokens": 12323776.0,
+      "step": 6760
+    },
+    {
+      "entropy": 5.312329053878784,
+      "epoch": 5.604805302402651,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002600557786375459,
+      "loss": 4.7819,
+      "mean_token_accuracy": 0.20854859054088593,
+      "num_tokens": 12332374.0,
+      "step": 6765
+    },
+    {
+      "entropy": 5.217779874801636,
+      "epoch": 5.608947804473902,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00025973694323454916,
+      "loss": 4.6354,
+      "mean_token_accuracy": 0.21756067872047424,
+      "num_tokens": 12341007.0,
+      "step": 6770
+    },
+    {
+      "entropy": 5.175305271148682,
+      "epoch": 5.613090306545153,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00025941813861880575,
+      "loss": 4.7114,
+      "mean_token_accuracy": 0.20966241657733917,
+      "num_tokens": 12350330.0,
+      "step": 6775
+    },
+    {
+      "entropy": 5.267894315719604,
+      "epoch": 5.6172328086164045,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00025909936543337957,
+      "loss": 4.7519,
+      "mean_token_accuracy": 0.1993374451994896,
+      "num_tokens": 12358592.0,
+      "step": 6780
+    },
+    {
+      "entropy": 5.290813016891479,
+      "epoch": 5.621375310687656,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002587806243212709,
+      "loss": 4.7692,
+      "mean_token_accuracy": 0.20917081385850905,
+      "num_tokens": 12368195.0,
+      "step": 6785
+    },
+    {
+      "entropy": 5.241605234146118,
+      "epoch": 5.625517812758907,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002584619159254154,
+      "loss": 4.7124,
+      "mean_token_accuracy": 0.20834194272756576,
+      "num_tokens": 12377206.0,
+      "step": 6790
+    },
+    {
+      "entropy": 5.247827816009521,
+      "epoch": 5.629660314830158,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00025814324088868276,
+      "loss": 4.7593,
+      "mean_token_accuracy": 0.21013118624687194,
+      "num_tokens": 12386595.0,
+      "step": 6795
+    },
+    {
+      "entropy": 5.175970602035522,
+      "epoch": 5.633802816901408,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00025782459985387526,
+      "loss": 4.6569,
+      "mean_token_accuracy": 0.2180004358291626,
+      "num_tokens": 12395923.0,
+      "step": 6800
+    },
+    {
+      "entropy": 5.269517803192139,
+      "epoch": 5.637945318972659,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002575059934637268,
+      "loss": 4.7985,
+      "mean_token_accuracy": 0.20669761300086975,
+      "num_tokens": 12405094.0,
+      "step": 6805
+    },
+    {
+      "entropy": 5.268765878677368,
+      "epoch": 5.64208782104391,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002571874223609012,
+      "loss": 4.7972,
+      "mean_token_accuracy": 0.20435070544481276,
+      "num_tokens": 12414834.0,
+      "step": 6810
+    },
+    {
+      "entropy": 5.294848012924194,
+      "epoch": 5.646230323115161,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00025686888718799136,
+      "loss": 4.7513,
+      "mean_token_accuracy": 0.20469613671302794,
+      "num_tokens": 12423485.0,
+      "step": 6815
+    },
+    {
+      "entropy": 5.368587017059326,
+      "epoch": 5.6503728251864125,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002565503885875173,
+      "loss": 4.7935,
+      "mean_token_accuracy": 0.20704300552606583,
+      "num_tokens": 12432149.0,
+      "step": 6820
+    },
+    {
+      "entropy": 5.2622401237487795,
+      "epoch": 5.654515327257664,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00025623192720192564,
+      "loss": 4.7433,
+      "mean_token_accuracy": 0.2119109019637108,
+      "num_tokens": 12441272.0,
+      "step": 6825
+    },
+    {
+      "entropy": 5.190871524810791,
+      "epoch": 5.658657829328915,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002559135036735877,
+      "loss": 4.7388,
+      "mean_token_accuracy": 0.20155471414327622,
+      "num_tokens": 12449318.0,
+      "step": 6830
+    },
+    {
+      "entropy": 5.168833065032959,
+      "epoch": 5.662800331400166,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00025559511864479864,
+      "loss": 4.6898,
+      "mean_token_accuracy": 0.21231105625629426,
+      "num_tokens": 12458473.0,
+      "step": 6835
+    },
+    {
+      "entropy": 5.313192129135132,
+      "epoch": 5.666942833471417,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002552767727577758,
+      "loss": 4.8113,
+      "mean_token_accuracy": 0.20445662438869477,
+      "num_tokens": 12467703.0,
+      "step": 6840
+    },
+    {
+      "entropy": 5.292496681213379,
+      "epoch": 5.671085335542668,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00025495846665465774,
+      "loss": 4.6938,
+      "mean_token_accuracy": 0.21795116513967513,
+      "num_tokens": 12476166.0,
+      "step": 6845
+    },
+    {
+      "entropy": 5.235640621185302,
+      "epoch": 5.675227837613919,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002546402009775024,
+      "loss": 4.7403,
+      "mean_token_accuracy": 0.20330073386430741,
+      "num_tokens": 12484880.0,
+      "step": 6850
+    },
+    {
+      "entropy": 5.31177544593811,
+      "epoch": 5.679370339685169,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00025432197636828663,
+      "loss": 4.8103,
+      "mean_token_accuracy": 0.20381423085927963,
+      "num_tokens": 12494208.0,
+      "step": 6855
+    },
+    {
+      "entropy": 5.334811210632324,
+      "epoch": 5.683512841756421,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002540037934689042,
+      "loss": 4.8024,
+      "mean_token_accuracy": 0.20098040848970414,
+      "num_tokens": 12503647.0,
+      "step": 6860
+    },
+    {
+      "entropy": 5.295432138442993,
+      "epoch": 5.687655343827672,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00025368565292116475,
+      "loss": 4.8225,
+      "mean_token_accuracy": 0.20177613645792009,
+      "num_tokens": 12512869.0,
+      "step": 6865
+    },
+    {
+      "entropy": 5.28051609992981,
+      "epoch": 5.691797845898923,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002533675553667927,
+      "loss": 4.8747,
+      "mean_token_accuracy": 0.19059171974658967,
+      "num_tokens": 12523222.0,
+      "step": 6870
+    },
+    {
+      "entropy": 5.24097170829773,
+      "epoch": 5.695940347970174,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00025304950144742523,
+      "loss": 4.7456,
+      "mean_token_accuracy": 0.20784133225679396,
+      "num_tokens": 12532343.0,
+      "step": 6875
+    },
+    {
+      "entropy": 5.255422782897949,
+      "epoch": 5.700082850041425,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002527314918046122,
+      "loss": 4.7467,
+      "mean_token_accuracy": 0.21441746652126312,
+      "num_tokens": 12541508.0,
+      "step": 6880
+    },
+    {
+      "entropy": 5.222242641448974,
+      "epoch": 5.704225352112676,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0002524135270798136,
+      "loss": 4.7731,
+      "mean_token_accuracy": 0.20265263617038726,
+      "num_tokens": 12550837.0,
+      "step": 6885
+    },
+    {
+      "entropy": 5.259101152420044,
+      "epoch": 5.708367854183927,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00025209560791439914,
+      "loss": 4.7223,
+      "mean_token_accuracy": 0.21348682641983033,
+      "num_tokens": 12559859.0,
+      "step": 6890
+    },
+    {
+      "entropy": 5.279586315155029,
+      "epoch": 5.712510356255178,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002517777349496465,
+      "loss": 4.8096,
+      "mean_token_accuracy": 0.20708946287631988,
+      "num_tokens": 12569137.0,
+      "step": 6895
+    },
+    {
+      "entropy": 5.332545948028565,
+      "epoch": 5.716652858326429,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002514599088267401,
+      "loss": 4.8391,
+      "mean_token_accuracy": 0.20370080918073655,
+      "num_tokens": 12578111.0,
+      "step": 6900
+    },
+    {
+      "entropy": 5.30065131187439,
+      "epoch": 5.72079536039768,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00025114213018677004,
+      "loss": 4.7826,
+      "mean_token_accuracy": 0.21398544907569886,
+      "num_tokens": 12587604.0,
+      "step": 6905
+    },
+    {
+      "entropy": 5.328654146194458,
+      "epoch": 5.7249378624689315,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002508243996707305,
+      "loss": 4.7982,
+      "mean_token_accuracy": 0.2033779114484787,
+      "num_tokens": 12596620.0,
+      "step": 6910
+    },
+    {
+      "entropy": 5.252767944335938,
+      "epoch": 5.729080364540183,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00025050671791951887,
+      "loss": 4.7682,
+      "mean_token_accuracy": 0.20568756759166718,
+      "num_tokens": 12605452.0,
+      "step": 6915
+    },
+    {
+      "entropy": 5.195128536224365,
+      "epoch": 5.733222866611433,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002501890855739337,
+      "loss": 4.6654,
+      "mean_token_accuracy": 0.22127037048339843,
+      "num_tokens": 12614009.0,
+      "step": 6920
+    },
+    {
+      "entropy": 5.287421989440918,
+      "epoch": 5.737365368682684,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00024987150327467414,
+      "loss": 4.8201,
+      "mean_token_accuracy": 0.2010796323418617,
+      "num_tokens": 12624135.0,
+      "step": 6925
+    },
+    {
+      "entropy": 5.221401596069336,
+      "epoch": 5.741507870753935,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024955397166233855,
+      "loss": 4.6474,
+      "mean_token_accuracy": 0.22327282428741455,
+      "num_tokens": 12632870.0,
+      "step": 6930
+    },
+    {
+      "entropy": 5.304728364944458,
+      "epoch": 5.745650372825186,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024923649137742276,
+      "loss": 4.8549,
+      "mean_token_accuracy": 0.1950896918773651,
+      "num_tokens": 12643606.0,
+      "step": 6935
+    },
+    {
+      "entropy": 5.385456705093384,
+      "epoch": 5.749792874896437,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0002489190630603194,
+      "loss": 4.8834,
+      "mean_token_accuracy": 0.20502226054668427,
+      "num_tokens": 12652926.0,
+      "step": 6940
+    },
+    {
+      "entropy": 5.331468009948731,
+      "epoch": 5.753935376967688,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002486016873513159,
+      "loss": 4.8219,
+      "mean_token_accuracy": 0.20297979861497878,
+      "num_tokens": 12661841.0,
+      "step": 6945
+    },
+    {
+      "entropy": 5.257536315917969,
+      "epoch": 5.7580778790389395,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002482843648905937,
+      "loss": 4.7409,
+      "mean_token_accuracy": 0.2069641500711441,
+      "num_tokens": 12670527.0,
+      "step": 6950
+    },
+    {
+      "entropy": 5.216205167770386,
+      "epoch": 5.762220381110191,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002479670963182271,
+      "loss": 4.7365,
+      "mean_token_accuracy": 0.19854751229286194,
+      "num_tokens": 12680346.0,
+      "step": 6955
+    },
+    {
+      "entropy": 5.315979433059693,
+      "epoch": 5.766362883181442,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00024764988227418114,
+      "loss": 4.8273,
+      "mean_token_accuracy": 0.20946504771709443,
+      "num_tokens": 12691088.0,
+      "step": 6960
+    },
+    {
+      "entropy": 5.343829536437989,
+      "epoch": 5.770505385252693,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002473327233983116,
+      "loss": 4.7894,
+      "mean_token_accuracy": 0.20746862143278122,
+      "num_tokens": 12700296.0,
+      "step": 6965
+    },
+    {
+      "entropy": 5.241484355926514,
+      "epoch": 5.774647887323944,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002470156203303622,
+      "loss": 4.7882,
+      "mean_token_accuracy": 0.20888512581586838,
+      "num_tokens": 12709595.0,
+      "step": 6970
+    },
+    {
+      "entropy": 5.276812028884888,
+      "epoch": 5.778790389395195,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0002466985737099649,
+      "loss": 4.838,
+      "mean_token_accuracy": 0.20352406352758406,
+      "num_tokens": 12719052.0,
+      "step": 6975
+    },
+    {
+      "entropy": 5.237840700149536,
+      "epoch": 5.782932891466446,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002463815841766371,
+      "loss": 4.7033,
+      "mean_token_accuracy": 0.21847177892923356,
+      "num_tokens": 12727287.0,
+      "step": 6980
+    },
+    {
+      "entropy": 5.252689790725708,
+      "epoch": 5.787075393537696,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002460646523697813,
+      "loss": 4.7649,
+      "mean_token_accuracy": 0.2055829644203186,
+      "num_tokens": 12736511.0,
+      "step": 6985
+    },
+    {
+      "entropy": 5.295902395248413,
+      "epoch": 5.7912178956089475,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00024574777892868386,
+      "loss": 4.7758,
+      "mean_token_accuracy": 0.20809024274349214,
+      "num_tokens": 12745597.0,
+      "step": 6990
+    },
+    {
+      "entropy": 5.260382986068725,
+      "epoch": 5.795360397680199,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00024543096449251286,
+      "loss": 4.6362,
+      "mean_token_accuracy": 0.221256822347641,
+      "num_tokens": 12753492.0,
+      "step": 6995
+    },
+    {
+      "entropy": 5.3082959175109865,
+      "epoch": 5.79950289975145,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002451142097003177,
+      "loss": 4.7765,
+      "mean_token_accuracy": 0.21173641979694366,
+      "num_tokens": 12761999.0,
+      "step": 7000
+    },
+    {
+      "epoch": 5.79950289975145,
+      "eval_entropy": 5.159527343473455,
+      "eval_loss": 5.7473931312561035,
+      "eval_mean_token_accuracy": 0.1656088415525361,
+      "eval_num_tokens": 12761999.0,
+      "eval_runtime": 2.7553,
+      "eval_samples_per_second": 1359.941,
+      "eval_steps_per_second": 170.219,
+      "step": 7000
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 12060,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.9062837817344e+16,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}
diff --git a/checkpoint-7000/training_args.bin b/checkpoint-7000/training_args.bin
new file mode 100644
index 0000000..47a7b32
--- /dev/null
+++ b/checkpoint-7000/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e406e906697be5d5c4bea7f90a038122ca162eb6b7e40512a32661ef55af9075
+size 6353
diff --git a/checkpoint-7500/added_tokens.json b/checkpoint-7500/added_tokens.json
new file mode 100644
index 0000000..b3dbcdb
--- /dev/null
+++ b/checkpoint-7500/added_tokens.json
@@ -0,0 +1,1202 @@
+{
+  "<pad>": 50002,
+  "[CLS]": 50000,
+  "[MASK]": 50003,
+  "[SEP]": 50001,
+  "[XXXXX0]": 50771,
+  "[XXXXX1000]": 50549,
+  "[XXXXX1001]": 50657,
+  "[XXXXX1002]": 51158,
+  "[XXXXX1003]": 51044,
+  "[XXXXX1004]": 50688,
+  "[XXXXX1005]": 50689,
+  "[XXXXX1006]": 50410,
+  "[XXXXX1007]": 50724,
+  "[XXXXX1008]": 50171,
+  "[XXXXX1009]": 51077,
+  "[XXXXX100]": 50091,
+  "[XXXXX1010]": 50639,
+  "[XXXXX1011]": 51094,
+  "[XXXXX1012]": 50392,
+  "[XXXXX1013]": 50626,
+  "[XXXXX1014]": 50991,
+  "[XXXXX1015]": 50529,
+  "[XXXXX1016]": 51193,
+  "[XXXXX1017]": 51073,
+  "[XXXXX1018]": 51104,
+  "[XXXXX1019]": 50775,
+  "[XXXXX101]": 50139,
+  "[XXXXX1020]": 50157,
+  "[XXXXX1021]": 50934,
+  "[XXXXX1022]": 51159,
+  "[XXXXX1023]": 50048,
+  "[XXXXX1024]": 51123,
+  "[XXXXX1025]": 50084,
+  "[XXXXX1026]": 50813,
+  "[XXXXX1027]": 50725,
+  "[XXXXX1028]": 50931,
+  "[XXXXX1029]": 50233,
+  "[XXXXX102]": 50213,
+  "[XXXXX1030]": 51023,
+  "[XXXXX1031]": 50098,
+  "[XXXXX1032]": 50802,
+  "[XXXXX1033]": 50061,
+  "[XXXXX1034]": 51139,
+  "[XXXXX1035]": 51110,
+  "[XXXXX1036]": 50204,
+  "[XXXXX1037]": 50023,
+  "[XXXXX1038]": 50142,
+  "[XXXXX1039]": 50328,
+  "[XXXXX103]": 50087,
+  "[XXXXX1040]": 50435,
+  "[XXXXX1041]": 50489,
+  "[XXXXX1042]": 50216,
+  "[XXXXX1043]": 50144,
+  "[XXXXX1044]": 50832,
+  "[XXXXX1045]": 50566,
+  "[XXXXX1046]": 50922,
+  "[XXXXX1047]": 50796,
+  "[XXXXX1048]": 50533,
+  "[XXXXX1049]": 50433,
+  "[XXXXX104]": 50478,
+  "[XXXXX1050]": 50953,
+  "[XXXXX1051]": 50497,
+  "[XXXXX1052]": 50655,
+  "[XXXXX1053]": 50881,
+  "[XXXXX1054]": 50461,
+  "[XXXXX1055]": 50052,
+  "[XXXXX1056]": 50219,
+  "[XXXXX1057]": 50789,
+  "[XXXXX1058]": 50121,
+  "[XXXXX1059]": 51002,
+  "[XXXXX105]": 51192,
+  "[XXXXX1060]": 50158,
+  "[XXXXX1061]": 50352,
+  "[XXXXX1062]": 50637,
+  "[XXXXX1063]": 50440,
+  "[XXXXX1064]": 50590,
+  "[XXXXX1065]": 51107,
+  "[XXXXX1066]": 50758,
+  "[XXXXX1067]": 51011,
+  "[XXXXX1068]": 50985,
+  "[XXXXX1069]": 51175,
+  "[XXXXX106]": 50532,
+  "[XXXXX1070]": 50790,
+  "[XXXXX1071]": 50394,
+  "[XXXXX1072]": 50852,
+  "[XXXXX1073]": 50869,
+  "[XXXXX1074]": 50126,
+  "[XXXXX1075]": 50783,
+  "[XXXXX1076]": 50806,
+  "[XXXXX1077]": 50882,
+  "[XXXXX1078]": 50726,
+  "[XXXXX1079]": 51010,
+  "[XXXXX107]": 50714,
+  "[XXXXX1080]": 50168,
+  "[XXXXX1081]": 50425,
+  "[XXXXX1082]": 50848,
+  "[XXXXX1083]": 50014,
+  "[XXXXX1084]": 50341,
+  "[XXXXX1085]": 50734,
+  "[XXXXX1086]": 50664,
+  "[XXXXX1087]": 51007,
+  "[XXXXX1088]": 51151,
+  "[XXXXX1089]": 50269,
+  "[XXXXX108]": 50996,
+  "[XXXXX1090]": 50826,
+  "[XXXXX1091]": 51105,
+  "[XXXXX1092]": 50731,
+  "[XXXXX1093]": 50856,
+  "[XXXXX1094]": 50369,
+  "[XXXXX1095]": 50065,
+  "[XXXXX1096]": 50309,
+  "[XXXXX1097]": 50838,
+  "[XXXXX1098]": 50451,
+  "[XXXXX1099]": 50384,
+  "[XXXXX109]": 50543,
+  "[XXXXX10]": 50325,
+  "[XXXXX1100]": 50318,
+  "[XXXXX1101]": 50764,
+  "[XXXXX1102]": 51025,
+  "[XXXXX1103]": 50642,
+  "[XXXXX1104]": 50665,
+  "[XXXXX1105]": 50855,
+  "[XXXXX1106]": 51063,
+  "[XXXXX1107]": 50025,
+  "[XXXXX1108]": 50122,
+  "[XXXXX1109]": 50470,
+  "[XXXXX110]": 50062,
+  "[XXXXX1110]": 51019,
+  "[XXXXX1111]": 51124,
+  "[XXXXX1112]": 50146,
+  "[XXXXX1113]": 51125,
+  "[XXXXX1114]": 50434,
+  "[XXXXX1115]": 50818,
+  "[XXXXX1116]": 50960,
+  "[XXXXX1117]": 50258,
+  "[XXXXX1118]": 50596,
+  "[XXXXX1119]": 50083,
+  "[XXXXX111]": 51064,
+  "[XXXXX1120]": 50915,
+  "[XXXXX1121]": 50835,
+  "[XXXXX1122]": 51056,
+  "[XXXXX1123]": 50172,
+  "[XXXXX1124]": 50972,
+  "[XXXXX1125]": 50275,
+  "[XXXXX1126]": 50430,
+  "[XXXXX1127]": 50743,
+  "[XXXXX1128]": 50551,
+  "[XXXXX1129]": 50439,
+  "[XXXXX112]": 50819,
+  "[XXXXX1130]": 50536,
+  "[XXXXX1131]": 50622,
+  "[XXXXX1132]": 50623,
+  "[XXXXX1133]": 50117,
+  "[XXXXX1134]": 50251,
+  "[XXXXX1135]": 50678,
+  "[XXXXX1136]": 50316,
+  "[XXXXX1137]": 50905,
+  "[XXXXX1138]": 50992,
+  "[XXXXX1139]": 50851,
+  "[XXXXX113]": 50443,
+  "[XXXXX1140]": 50499,
+  "[XXXXX1141]": 50629,
+  "[XXXXX1142]": 50944,
+  "[XXXXX1143]": 50373,
+  "[XXXXX1144]": 50123,
+  "[XXXXX1145]": 50173,
+  "[XXXXX1146]": 50891,
+  "[XXXXX1147]": 50471,
+  "[XXXXX1148]": 50560,
+  "[XXXXX1149]": 50541,
+  "[XXXXX114]": 50631,
+  "[XXXXX1150]": 50033,
+  "[XXXXX1151]": 50063,
+  "[XXXXX1152]": 50767,
+  "[XXXXX1153]": 50897,
+  "[XXXXX1154]": 50568,
+  "[XXXXX1155]": 51131,
+  "[XXXXX1156]": 50009,
+  "[XXXXX1157]": 50417,
+  "[XXXXX1158]": 50477,
+  "[XXXXX1159]": 50941,
+  "[XXXXX115]": 50294,
+  "[XXXXX1160]": 50679,
+  "[XXXXX1161]": 51108,
+  "[XXXXX1162]": 50332,
+  "[XXXXX1163]": 50424,
+  "[XXXXX1164]": 50473,
+  "[XXXXX1165]": 50793,
+  "[XXXXX1166]": 50453,
+  "[XXXXX1167]": 50807,
+  "[XXXXX1168]": 50128,
+  "[XXXXX1169]": 50039,
+  "[XXXXX116]": 50759,
+  "[XXXXX1170]": 50735,
+  "[XXXXX1171]": 50366,
+  "[XXXXX1172]": 50808,
+  "[XXXXX1173]": 50426,
+  "[XXXXX1174]": 50076,
+  "[XXXXX1175]": 50943,
+  "[XXXXX1176]": 50252,
+  "[XXXXX1177]": 50999,
+  "[XXXXX1178]": 50264,
+  "[XXXXX1179]": 50607,
+  "[XXXXX117]": 51036,
+  "[XXXXX1180]": 50986,
+  "[XXXXX1181]": 50744,
+  "[XXXXX1182]": 50186,
+  "[XXXXX1183]": 50555,
+  "[XXXXX1184]": 51076,
+  "[XXXXX1185]": 50849,
+  "[XXXXX1186]": 51128,
+  "[XXXXX1187]": 50858,
+  "[XXXXX1188]": 50656,
+  "[XXXXX1189]": 50064,
+  "[XXXXX118]": 50081,
+  "[XXXXX1190]": 51197,
+  "[XXXXX1191]": 50104,
+  "[XXXXX1192]": 50045,
+  "[XXXXX1193]": 50404,
+  "[XXXXX1194]": 50690,
+  "[XXXXX1195]": 50495,
+  "[XXXXX119]": 50108,
+  "[XXXXX11]": 50976,
+  "[XXXXX120]": 51081,
+  "[XXXXX121]": 50464,
+  "[XXXXX122]": 50829,
+  "[XXXXX123]": 50766,
+  "[XXXXX124]": 50732,
+  "[XXXXX125]": 50221,
+  "[XXXXX126]": 50810,
+  "[XXXXX127]": 50130,
+  "[XXXXX128]": 50751,
+  "[XXXXX129]": 50662,
+  "[XXXXX12]": 50602,
+  "[XXXXX130]": 50035,
+  "[XXXXX131]": 50715,
+  "[XXXXX132]": 50340,
+  "[XXXXX133]": 50563,
+  "[XXXXX134]": 50993,
+  "[XXXXX135]": 50304,
+  "[XXXXX136]": 50131,
+  "[XXXXX137]": 50578,
+  "[XXXXX138]": 50757,
+  "[XXXXX139]": 50582,
+  "[XXXXX13]": 50105,
+  "[XXXXX140]": 50085,
+  "[XXXXX141]": 50553,
+  "[XXXXX142]": 50749,
+  "[XXXXX143]": 50351,
+  "[XXXXX144]": 51024,
+  "[XXXXX145]": 51144,
+  "[XXXXX146]": 50042,
+  "[XXXXX147]": 50145,
+  "[XXXXX148]": 50066,
+  "[XXXXX149]": 50876,
+  "[XXXXX14]": 51006,
+  "[XXXXX150]": 50280,
+  "[XXXXX151]": 50093,
+  "[XXXXX152]": 50638,
+  "[XXXXX153]": 50684,
+  "[XXXXX154]": 50820,
+  "[XXXXX155]": 51196,
+  "[XXXXX156]": 50317,
+  "[XXXXX157]": 50284,
+  "[XXXXX158]": 50288,
+  "[XXXXX159]": 50814,
+  "[XXXXX15]": 50608,
+  "[XXXXX160]": 50004,
+  "[XXXXX161]": 50008,
+  "[XXXXX162]": 50377,
+  "[XXXXX163]": 50214,
+  "[XXXXX164]": 50708,
+  "[XXXXX165]": 50390,
+  "[XXXXX166]": 50741,
+  "[XXXXX167]": 50445,
+  "[XXXXX168]": 50936,
+  "[XXXXX169]": 50896,
+  "[XXXXX16]": 50442,
+  "[XXXXX170]": 50109,
+  "[XXXXX171]": 50140,
+  "[XXXXX172]": 50427,
+  "[XXXXX173]": 51074,
+  "[XXXXX174]": 50162,
+  "[XXXXX175]": 51015,
+  "[XXXXX176]": 50524,
+  "[XXXXX177]": 50673,
+  "[XXXXX178]": 50054,
+  "[XXXXX179]": 50805,
+  "[XXXXX17]": 50482,
+  "[XXXXX180]": 50253,
+  "[XXXXX181]": 50493,
+  "[XXXXX182]": 50421,
+  "[XXXXX183]": 51050,
+  "[XXXXX184]": 50521,
+  "[XXXXX185]": 50188,
+  "[XXXXX186]": 50147,
+  "[XXXXX187]": 50201,
+  "[XXXXX188]": 50973,
+  "[XXXXX189]": 50409,
+  "[XXXXX18]": 50115,
+  "[XXXXX190]": 50051,
+  "[XXXXX191]": 51020,
+  "[XXXXX192]": 51047,
+  "[XXXXX193]": 50669,
+  "[XXXXX194]": 50643,
+  "[XXXXX195]": 50159,
+  "[XXXXX196]": 50649,
+  "[XXXXX197]": 51178,
+  "[XXXXX198]": 50043,
+  "[XXXXX199]": 51147,
+  "[XXXXX19]": 51127,
+  "[XXXXX1]": 51114,
+  "[XXXXX200]": 50840,
+  "[XXXXX201]": 50365,
+  "[XXXXX202]": 50232,
+  "[XXXXX203]": 50241,
+  "[XXXXX204]": 50548,
+  "[XXXXX205]": 50781,
+  "[XXXXX206]": 50923,
+  "[XXXXX207]": 51115,
+  "[XXXXX208]": 50344,
+  "[XXXXX209]": 50299,
+  "[XXXXX20]": 51031,
+  "[XXXXX210]": 51179,
+  "[XXXXX211]": 51163,
+  "[XXXXX212]": 50562,
+  "[XXXXX213]": 50094,
+  "[XXXXX214]": 50257,
+  "[XXXXX215]": 50967,
+  "[XXXXX216]": 50523,
+  "[XXXXX217]": 51132,
+  "[XXXXX218]": 51146,
+  "[XXXXX219]": 50411,
+  "[XXXXX21]": 50354,
+  "[XXXXX220]": 50853,
+  "[XXXXX221]": 50886,
+  "[XXXXX222]": 50600,
+  "[XXXXX223]": 50873,
+  "[XXXXX224]": 50416,
+  "[XXXXX225]": 50675,
+  "[XXXXX226]": 50583,
+  "[XXXXX227]": 50151,
+  "[XXXXX228]": 50927,
+  "[XXXXX229]": 50609,
+  "[XXXXX22]": 50589,
+  "[XXXXX230]": 50238,
+  "[XXXXX231]": 50242,
+  "[XXXXX232]": 51016,
+  "[XXXXX233]": 50406,
+  "[XXXXX234]": 50908,
+  "[XXXXX235]": 50024,
+  "[XXXXX236]": 50270,
+  "[XXXXX237]": 50132,
+  "[XXXXX238]": 50800,
+  "[XXXXX239]": 50236,
+  "[XXXXX23]": 50007,
+  "[XXXXX240]": 50005,
+  "[XXXXX241]": 50894,
+  "[XXXXX242]": 50694,
+  "[XXXXX243]": 51071,
+  "[XXXXX244]": 51017,
+  "[XXXXX245]": 50068,
+  "[XXXXX246]": 50682,
+  "[XXXXX247]": 50913,
+  "[XXXXX248]": 51028,
+  "[XXXXX249]": 50037,
+  "[XXXXX24]": 51169,
+  "[XXXXX250]": 50747,
+  "[XXXXX251]": 50947,
+  "[XXXXX252]": 50329,
+  "[XXXXX253]": 50612,
+  "[XXXXX254]": 50110,
+  "[XXXXX255]": 50824,
+  "[XXXXX256]": 50558,
+  "[XXXXX257]": 50969,
+  "[XXXXX258]": 50729,
+  "[XXXXX259]": 50125,
+  "[XXXXX25]": 51160,
+  "[XXXXX260]": 50040,
+  "[XXXXX261]": 51038,
+  "[XXXXX262]": 50347,
+  "[XXXXX263]": 50740,
+  "[XXXXX264]": 51195,
+  "[XXXXX265]": 50879,
+  "[XXXXX266]": 50770,
+  "[XXXXX267]": 50178,
+  "[XXXXX268]": 50804,
+  "[XXXXX269]": 50906,
+  "[XXXXX26]": 50150,
+  "[XXXXX270]": 51191,
+  "[XXXXX271]": 50047,
+  "[XXXXX272]": 50195,
+  "[XXXXX273]": 50554,
+  "[XXXXX274]": 50833,
+  "[XXXXX275]": 50346,
+  "[XXXXX276]": 50950,
+  "[XXXXX277]": 50864,
+  "[XXXXX278]": 50259,
+  "[XXXXX279]": 50671,
+  "[XXXXX27]": 50468,
+  "[XXXXX280]": 50082,
+  "[XXXXX281]": 50565,
+  "[XXXXX282]": 50984,
+  "[XXXXX283]": 50650,
+  "[XXXXX284]": 50975,
+  "[XXXXX285]": 50603,
+  "[XXXXX286]": 50027,
+  "[XXXXX287]": 50181,
+  "[XXXXX288]": 50981,
+  "[XXXXX289]": 50885,
+  "[XXXXX28]": 50249,
+  "[XXXXX290]": 50522,
+  "[XXXXX291]": 50050,
+  "[XXXXX292]": 50313,
+  "[XXXXX293]": 50503,
+  "[XXXXX294]": 51176,
+  "[XXXXX295]": 51177,
+  "[XXXXX296]": 50379,
+  "[XXXXX297]": 50635,
+  "[XXXXX298]": 50723,
+  "[XXXXX299]": 50200,
+  "[XXXXX29]": 50892,
+  "[XXXXX2]": 51119,
+  "[XXXXX300]": 51026,
+  "[XXXXX301]": 50528,
+  "[XXXXX302]": 51149,
+  "[XXXXX303]": 50044,
+  "[XXXXX304]": 50209,
+  "[XXXXX305]": 50988,
+  "[XXXXX306]": 50518,
+  "[XXXXX307]": 50088,
+  "[XXXXX308]": 50733,
+  "[XXXXX309]": 51066,
+  "[XXXXX30]": 50506,
+  "[XXXXX310]": 50285,
+  "[XXXXX311]": 50859,
+  "[XXXXX312]": 50263,
+  "[XXXXX313]": 50594,
+  "[XXXXX314]": 51103,
+  "[XXXXX315]": 50871,
+  "[XXXXX316]": 50300,
+  "[XXXXX317]": 50760,
+  "[XXXXX318]": 50055,
+  "[XXXXX319]": 50389,
+  "[XXXXX31]": 50212,
+  "[XXXXX320]": 50444,
+  "[XXXXX321]": 50994,
+  "[XXXXX322]": 50281,
+  "[XXXXX323]": 50179,
+  "[XXXXX324]": 50455,
+  "[XXXXX325]": 50970,
+  "[XXXXX326]": 50666,
+  "[XXXXX327]": 50604,
+  "[XXXXX328]": 50627,
+  "[XXXXX329]": 50475,
+  "[XXXXX32]": 50277,
+  "[XXXXX330]": 50667,
+  "[XXXXX331]": 50348,
+  "[XXXXX332]": 50772,
+  "[XXXXX333]": 50163,
+  "[XXXXX334]": 50569,
+  "[XXXXX335]": 50018,
+  "[XXXXX336]": 50883,
+  "[XXXXX337]": 50067,
+  "[XXXXX338]": 51184,
+  "[XXXXX339]": 50997,
+  "[XXXXX33]": 50403,
+  "[XXXXX340]": 51013,
+  "[XXXXX341]": 50957,
+  "[XXXXX342]": 51106,
+  "[XXXXX343]": 51174,
+  "[XXXXX344]": 50391,
+  "[XXXXX345]": 50948,
+  "[XXXXX346]": 50180,
+  "[XXXXX347]": 50811,
+  "[XXXXX348]": 50401,
+  "[XXXXX349]": 50911,
+  "[XXXXX34]": 50223,
+  "[XXXXX350]": 51089,
+  "[XXXXX351]": 50777,
+  "[XXXXX352]": 50189,
+  "[XXXXX353]": 50492,
+  "[XXXXX354]": 50205,
+  "[XXXXX355]": 50374,
+  "[XXXXX356]": 51152,
+  "[XXXXX357]": 50695,
+  "[XXXXX358]": 51117,
+  "[XXXXX359]": 50573,
+  "[XXXXX35]": 50752,
+  "[XXXXX360]": 50955,
+  "[XXXXX361]": 50349,
+  "[XXXXX362]": 51137,
+  "[XXXXX363]": 50641,
+  "[XXXXX364]": 51148,
+  "[XXXXX365]": 50255,
+  "[XXXXX366]": 50310,
+  "[XXXXX367]": 50314,
+  "[XXXXX368]": 50971,
+  "[XXXXX369]": 50916,
+  "[XXXXX36]": 50437,
+  "[XXXXX370]": 51096,
+  "[XXXXX371]": 50557,
+  "[XXXXX372]": 51095,
+  "[XXXXX373]": 50382,
+  "[XXXXX374]": 50119,
+  "[XXXXX375]": 50958,
+  "[XXXXX376]": 50624,
+  "[XXXXX377]": 50483,
+  "[XXXXX378]": 50605,
+  "[XXXXX379]": 50017,
+  "[XXXXX37]": 50706,
+  "[XXXXX380]": 50246,
+  "[XXXXX381]": 50588,
+  "[XXXXX382]": 51008,
+  "[XXXXX383]": 50801,
+  "[XXXXX384]": 50290,
+  "[XXXXX385]": 50899,
+  "[XXXXX386]": 50206,
+  "[XXXXX387]": 50716,
+  "[XXXXX388]": 51082,
+  "[XXXXX389]": 50177,
+  "[XXXXX38]": 50736,
+  "[XXXXX390]": 50282,
+  "[XXXXX391]": 51183,
+  "[XXXXX392]": 50286,
+  "[XXXXX393]": 50659,
+  "[XXXXX394]": 50378,
+  "[XXXXX395]": 50709,
+  "[XXXXX396]": 50028,
+  "[XXXXX397]": 50235,
+  "[XXXXX398]": 51014,
+  "[XXXXX399]": 50880,
+  "[XXXXX39]": 50305,
+  "[XXXXX3]": 50077,
+  "[XXXXX400]": 50155,
+  "[XXXXX401]": 50710,
+  "[XXXXX402]": 50507,
+  "[XXXXX403]": 50860,
+  "[XXXXX404]": 50661,
+  "[XXXXX405]": 51083,
+  "[XXXXX406]": 50888,
+  "[XXXXX407]": 50069,
+  "[XXXXX408]": 50691,
+  "[XXXXX409]": 51055,
+  "[XXXXX40]": 50337,
+  "[XXXXX410]": 50137,
+  "[XXXXX411]": 50791,
+  "[XXXXX412]": 50136,
+  "[XXXXX413]": 50730,
+  "[XXXXX414]": 50267,
+  "[XXXXX415]": 50012,
+  "[XXXXX416]": 50681,
+  "[XXXXX417]": 50942,
+  "[XXXXX418]": 50720,
+  "[XXXXX419]": 50844,
+  "[XXXXX41]": 50387,
+  "[XXXXX420]": 50111,
+  "[XXXXX421]": 51003,
+  "[XXXXX422]": 50785,
+  "[XXXXX423]": 50149,
+  "[XXXXX424]": 50422,
+  "[XXXXX425]": 51086,
+  "[XXXXX426]": 50862,
+  "[XXXXX427]": 50576,
+  "[XXXXX428]": 51049,
+  "[XXXXX429]": 50630,
+  "[XXXXX42]": 50799,
+  "[XXXXX430]": 50289,
+  "[XXXXX431]": 50184,
+  "[XXXXX432]": 50319,
+  "[XXXXX433]": 51116,
+  "[XXXXX434]": 50519,
+  "[XXXXX435]": 50496,
+  "[XXXXX436]": 50517,
+  "[XXXXX437]": 50865,
+  "[XXXXX438]": 50737,
+  "[XXXXX439]": 50356,
+  "[XXXXX43]": 50359,
+  "[XXXXX440]": 50898,
+  "[XXXXX441]": 50113,
+  "[XXXXX442]": 50527,
+  "[XXXXX443]": 50762,
+  "[XXXXX444]": 50540,
+  "[XXXXX445]": 50925,
+  "[XXXXX446]": 50711,
+  "[XXXXX447]": 50143,
+  "[XXXXX448]": 51170,
+  "[XXXXX449]": 50413,
+  "[XXXXX44]": 50097,
+  "[XXXXX450]": 50375,
+  "[XXXXX451]": 50846,
+  "[XXXXX452]": 50217,
+  "[XXXXX453]": 50699,
+  "[XXXXX454]": 50412,
+  "[XXXXX455]": 50418,
+  "[XXXXX456]": 51143,
+  "[XXXXX457]": 51141,
+  "[XXXXX458]": 51157,
+  "[XXXXX459]": 50825,
+  "[XXXXX45]": 50203,
+  "[XXXXX460]": 50194,
+  "[XXXXX461]": 50148,
+  "[XXXXX462]": 50276,
+  "[XXXXX463]": 50271,
+  "[XXXXX464]": 50836,
+  "[XXXXX465]": 50854,
+  "[XXXXX466]": 50164,
+  "[XXXXX467]": 50484,
+  "[XXXXX468]": 51097,
+  "[XXXXX469]": 50182,
+  "[XXXXX46]": 50505,
+  "[XXXXX470]": 50670,
+  "[XXXXX471]": 50595,
+  "[XXXXX472]": 50237,
+  "[XXXXX473]": 50057,
+  "[XXXXX474]": 50431,
+  "[XXXXX475]": 50738,
+  "[XXXXX476]": 51145,
+  "[XXXXX477]": 50247,
+  "[XXXXX478]": 50029,
+  "[XXXXX479]": 50917,
+  "[XXXXX47]": 50579,
+  "[XXXXX480]": 50702,
+  "[XXXXX481]": 50831,
+  "[XXXXX482]": 50753,
+  "[XXXXX483]": 50598,
+  "[XXXXX484]": 51136,
+  "[XXXXX485]": 50092,
+  "[XXXXX486]": 50202,
+  "[XXXXX487]": 50106,
+  "[XXXXX488]": 50924,
+  "[XXXXX489]": 51113,
+  "[XXXXX48]": 50842,
+  "[XXXXX490]": 50761,
+  "[XXXXX491]": 50577,
+  "[XXXXX492]": 50692,
+  "[XXXXX493]": 51130,
+  "[XXXXX494]": 50932,
+  "[XXXXX495]": 50837,
+  "[XXXXX496]": 50893,
+  "[XXXXX497]": 50773,
+  "[XXXXX498]": 50360,
+  "[XXXXX499]": 50900,
+  "[XXXXX49]": 51062,
+  "[XXXXX4]": 50396,
+  "[XXXXX500]": 51034,
+  "[XXXXX501]": 50472,
+  "[XXXXX502]": 50660,
+  "[XXXXX503]": 50815,
+  "[XXXXX504]": 50939,
+  "[XXXXX505]": 50419,
+  "[XXXXX506]": 50324,
+  "[XXXXX507]": 50428,
+  "[XXXXX508]": 50274,
+  "[XXXXX509]": 50311,
+  "[XXXXX50]": 50459,
+  "[XXXXX510]": 50674,
+  "[XXXXX511]": 50580,
+  "[XXXXX512]": 50956,
+  "[XXXXX513]": 50165,
+  "[XXXXX514]": 50320,
+  "[XXXXX515]": 50648,
+  "[XXXXX516]": 50386,
+  "[XXXXX517]": 50058,
+  "[XXXXX518]": 51045,
+  "[XXXXX519]": 50103,
+  "[XXXXX51]": 50979,
+  "[XXXXX520]": 50530,
+  "[XXXXX521]": 50907,
+  "[XXXXX522]": 50260,
+  "[XXXXX523]": 50632,
+  "[XXXXX524]": 50926,
+  "[XXXXX525]": 50687,
+  "[XXXXX526]": 50160,
+  "[XXXXX527]": 51053,
+  "[XXXXX528]": 50652,
+  "[XXXXX529]": 51041,
+  "[XXXXX52]": 50272,
+  "[XXXXX530]": 51111,
+  "[XXXXX531]": 51009,
+  "[XXXXX532]": 51079,
+  "[XXXXX533]": 50487,
+  "[XXXXX534]": 51059,
+  "[XXXXX535]": 50335,
+  "[XXXXX536]": 50380,
+  "[XXXXX537]": 50301,
+  "[XXXXX538]": 51067,
+  "[XXXXX539]": 51052,
+  "[XXXXX53]": 51048,
+  "[XXXXX540]": 50822,
+  "[XXXXX541]": 51040,
+  "[XXXXX542]": 50490,
+  "[XXXXX543]": 50448,
+  "[XXXXX544]": 50812,
+  "[XXXXX545]": 50099,
+  "[XXXXX546]": 51199,
+  "[XXXXX547]": 50226,
+  "[XXXXX548]": 50538,
+  "[XXXXX549]": 50342,
+  "[XXXXX54]": 50701,
+  "[XXXXX550]": 50544,
+  "[XXXXX551]": 50398,
+  "[XXXXX552]": 51102,
+  "[XXXXX553]": 50919,
+  "[XXXXX554]": 50615,
+  "[XXXXX555]": 50769,
+  "[XXXXX556]": 50940,
+  "[XXXXX557]": 50070,
+  "[XXXXX558]": 50680,
+  "[XXXXX559]": 50611,
+  "[XXXXX55]": 50574,
+  "[XXXXX560]": 50381,
+  "[XXXXX561]": 50350,
+  "[XXXXX562]": 50175,
+  "[XXXXX563]": 50584,
+  "[XXXXX564]": 50703,
+  "[XXXXX565]": 50989,
+  "[XXXXX566]": 50877,
+  "[XXXXX567]": 51039,
+  "[XXXXX568]": 51018,
+  "[XXXXX569]": 50452,
+  "[XXXXX56]": 51099,
+  "[XXXXX570]": 50161,
+  "[XXXXX571]": 50921,
+  "[XXXXX572]": 50676,
+  "[XXXXX573]": 50326,
+  "[XXXXX574]": 50987,
+  "[XXXXX575]": 50361,
+  "[XXXXX576]": 50071,
+  "[XXXXX577]": 50803,
+  "[XXXXX578]": 50400,
+  "[XXXXX579]": 51091,
+  "[XXXXX57]": 50501,
+  "[XXXXX580]": 50887,
+  "[XXXXX581]": 50839,
+  "[XXXXX582]": 51138,
+  "[XXXXX583]": 50816,
+  "[XXXXX584]": 50339,
+  "[XXXXX585]": 50463,
+  "[XXXXX586]": 50399,
+  "[XXXXX587]": 51070,
+  "[XXXXX588]": 50457,
+  "[XXXXX589]": 50828,
+  "[XXXXX58]": 50183,
+  "[XXXXX590]": 50080,
+  "[XXXXX591]": 50550,
+  "[XXXXX592]": 50129,
+  "[XXXXX593]": 50273,
+  "[XXXXX594]": 50388,
+  "[XXXXX595]": 50491,
+  "[XXXXX596]": 50278,
+  "[XXXXX597]": 50011,
+  "[XXXXX598]": 50254,
+  "[XXXXX599]": 50302,
+  "[XXXXX59]": 50353,
+  "[XXXXX5]": 50010,
+  "[XXXXX600]": 50704,
+  "[XXXXX601]": 51118,
+  "[XXXXX602]": 50049,
+  "[XXXXX603]": 51190,
+  "[XXXXX604]": 51142,
+  "[XXXXX605]": 50707,
+  "[XXXXX606]": 50937,
+  "[XXXXX607]": 50875,
+  "[XXXXX608]": 50564,
+  "[XXXXX609]": 50345,
+  "[XXXXX60]": 50713,
+  "[XXXXX610]": 50949,
+  "[XXXXX611]": 50978,
+  "[XXXXX612]": 50330,
+  "[XXXXX613]": 51035,
+  "[XXXXX614]": 50402,
+  "[XXXXX615]": 50176,
+  "[XXXXX616]": 51133,
+  "[XXXXX617]": 50222,
+  "[XXXXX618]": 50118,
+  "[XXXXX619]": 50196,
+  "[XXXXX61]": 50298,
+  "[XXXXX620]": 50668,
+  "[XXXXX621]": 50462,
+  "[XXXXX622]": 50218,
+  "[XXXXX623]": 51101,
+  "[XXXXX624]": 50362,
+  "[XXXXX625]": 50779,
+  "[XXXXX626]": 50513,
+  "[XXXXX627]": 50746,
+  "[XXXXX628]": 50141,
+  "[XXXXX629]": 50479,
+  "[XXXXX62]": 50056,
+  "[XXXXX630]": 51180,
+  "[XXXXX631]": 50872,
+  "[XXXXX632]": 50315,
+  "[XXXXX633]": 50397,
+  "[XXXXX634]": 51165,
+  "[XXXXX635]": 50046,
+  "[XXXXX636]": 50795,
+  "[XXXXX637]": 50959,
+  "[XXXXX638]": 50786,
+  "[XXXXX639]": 50240,
+  "[XXXXX63]": 51061,
+  "[XXXXX640]": 50601,
+  "[XXXXX641]": 50904,
+  "[XXXXX642]": 50376,
+  "[XXXXX643]": 50663,
+  "[XXXXX644]": 50613,
+  "[XXXXX645]": 50467,
+  "[XXXXX646]": 50546,
+  "[XXXXX647]": 50465,
+  "[XXXXX648]": 50395,
+  "[XXXXX649]": 50287,
+  "[XXXXX64]": 51162,
+  "[XXXXX650]": 50474,
+  "[XXXXX651]": 50727,
+  "[XXXXX652]": 50243,
+  "[XXXXX653]": 51100,
+  "[XXXXX654]": 50705,
+  "[XXXXX655]": 51012,
+  "[XXXXX656]": 50447,
+  "[XXXXX657]": 50719,
+  "[XXXXX658]": 50712,
+  "[XXXXX659]": 50476,
+  "[XXXXX65]": 50587,
+  "[XXXXX660]": 51054,
+  "[XXXXX661]": 51166,
+  "[XXXXX662]": 50494,
+  "[XXXXX663]": 50230,
+  "[XXXXX664]": 50621,
+  "[XXXXX665]": 50809,
+  "[XXXXX666]": 50265,
+  "[XXXXX667]": 50645,
+  "[XXXXX668]": 50817,
+  "[XXXXX669]": 50030,
+  "[XXXXX66]": 51029,
+  "[XXXXX670]": 51004,
+  "[XXXXX671]": 50685,
+  "[XXXXX672]": 50625,
+  "[XXXXX673]": 50890,
+  "[XXXXX674]": 50383,
+  "[XXXXX675]": 50929,
+  "[XXXXX676]": 50116,
+  "[XXXXX677]": 51072,
+  "[XXXXX678]": 51126,
+  "[XXXXX679]": 50755,
+  "[XXXXX67]": 50717,
+  "[XXXXX680]": 50303,
+  "[XXXXX681]": 50504,
+  "[XXXXX682]": 51075,
+  "[XXXXX683]": 50261,
+  "[XXXXX684]": 50861,
+  "[XXXXX685]": 50306,
+  "[XXXXX686]": 50016,
+  "[XXXXX687]": 50101,
+  "[XXXXX688]": 51098,
+  "[XXXXX689]": 50827,
+  "[XXXXX68]": 50863,
+  "[XXXXX690]": 50640,
+  "[XXXXX691]": 50031,
+  "[XXXXX692]": 50768,
+  "[XXXXX693]": 50013,
+  "[XXXXX694]": 51032,
+  "[XXXXX695]": 50166,
+  "[XXXXX696]": 50127,
+  "[XXXXX697]": 50414,
+  "[XXXXX698]": 50742,
+  "[XXXXX699]": 51042,
+  "[XXXXX69]": 51112,
+  "[XXXXX6]": 50593,
+  "[XXXXX700]": 50292,
+  "[XXXXX701]": 50174,
+  "[XXXXX702]": 50547,
+  "[XXXXX703]": 50498,
+  "[XXXXX704]": 51078,
+  "[XXXXX705]": 50133,
+  "[XXXXX706]": 50041,
+  "[XXXXX707]": 51181,
+  "[XXXXX708]": 50585,
+  "[XXXXX709]": 50776,
+  "[XXXXX70]": 50053,
+  "[XXXXX710]": 50336,
+  "[XXXXX711]": 50765,
+  "[XXXXX712]": 50224,
+  "[XXXXX713]": 50599,
+  "[XXXXX714]": 50207,
+  "[XXXXX715]": 51043,
+  "[XXXXX716]": 51090,
+  "[XXXXX717]": 50006,
+  "[XXXXX718]": 50901,
+  "[XXXXX719]": 51001,
+  "[XXXXX71]": 50954,
+  "[XXXXX720]": 50646,
+  "[XXXXX721]": 50075,
+  "[XXXXX722]": 51120,
+  "[XXXXX723]": 50215,
+  "[XXXXX724]": 50415,
+  "[XXXXX725]": 50154,
+  "[XXXXX726]": 50935,
+  "[XXXXX727]": 50545,
+  "[XXXXX728]": 51085,
+  "[XXXXX729]": 50256,
+  "[XXXXX72]": 50363,
+  "[XXXXX730]": 50700,
+  "[XXXXX731]": 50262,
+  "[XXXXX732]": 50930,
+  "[XXXXX733]": 50333,
+  "[XXXXX734]": 50884,
+  "[XXXXX735]": 51030,
+  "[XXXXX736]": 50231,
+  "[XXXXX737]": 50405,
+  "[XXXXX738]": 50962,
+  "[XXXXX739]": 50458,
+  "[XXXXX73]": 50019,
+  "[XXXXX740]": 50878,
+  "[XXXXX741]": 50910,
+  "[XXXXX742]": 50170,
+  "[XXXXX743]": 50718,
+  "[XXXXX744]": 50616,
+  "[XXXXX745]": 50358,
+  "[XXXXX746]": 50152,
+  "[XXXXX747]": 50525,
+  "[XXXXX748]": 51167,
+  "[XXXXX749]": 50653,
+  "[XXXXX74]": 50952,
+  "[XXXXX750]": 50500,
+  "[XXXXX751]": 50446,
+  "[XXXXX752]": 50995,
+  "[XXXXX753]": 50945,
+  "[XXXXX754]": 51173,
+  "[XXXXX755]": 50823,
+  "[XXXXX756]": 51060,
+  "[XXXXX757]": 50748,
+  "[XXXXX758]": 50020,
+  "[XXXXX759]": 50197,
+  "[XXXXX75]": 50502,
+  "[XXXXX760]": 50291,
+  "[XXXXX761]": 50821,
+  "[XXXXX762]": 50190,
+  "[XXXXX763]": 50745,
+  "[XXXXX764]": 50778,
+  "[XXXXX765]": 50556,
+  "[XXXXX766]": 51161,
+  "[XXXXX767]": 50466,
+  "[XXXXX768]": 50792,
+  "[XXXXX769]": 50208,
+  "[XXXXX76]": 50169,
+  "[XXXXX770]": 50647,
+  "[XXXXX771]": 50610,
+  "[XXXXX772]": 51140,
+  "[XXXXX773]": 50441,
+  "[XXXXX774]": 50870,
+  "[XXXXX775]": 50368,
+  "[XXXXX776]": 50026,
+  "[XXXXX777]": 50677,
+  "[XXXXX778]": 51168,
+  "[XXXXX779]": 50481,
+  "[XXXXX77]": 50515,
+  "[XXXXX780]": 50225,
+  "[XXXXX781]": 50408,
+  "[XXXXX782]": 50090,
+  "[XXXXX783]": 50951,
+  "[XXXXX784]": 50015,
+  "[XXXXX785]": 50658,
+  "[XXXXX786]": 50617,
+  "[XXXXX787]": 50721,
+  "[XXXXX788]": 51084,
+  "[XXXXX789]": 50830,
+  "[XXXXX78]": 50100,
+  "[XXXXX790]": 50606,
+  "[XXXXX791]": 50124,
+  "[XXXXX792]": 50078,
+  "[XXXXX793]": 51188,
+  "[XXXXX794]": 50750,
+  "[XXXXX795]": 50138,
+  "[XXXXX796]": 50239,
+  "[XXXXX797]": 50385,
+  "[XXXXX798]": 50780,
+  "[XXXXX799]": 50683,
+  "[XXXXX79]": 50436,
+  "[XXXXX7]": 50211,
+  "[XXXXX800]": 51185,
+  "[XXXXX801]": 50250,
+  "[XXXXX802]": 50456,
+  "[XXXXX803]": 50508,
+  "[XXXXX804]": 51194,
+  "[XXXXX805]": 50021,
+  "[XXXXX806]": 50307,
+  "[XXXXX807]": 50199,
+  "[XXXXX808]": 51129,
+  "[XXXXX809]": 50686,
+  "[XXXXX80]": 50370,
+  "[XXXXX810]": 50343,
+  "[XXXXX811]": 50614,
+  "[XXXXX812]": 50636,
+  "[XXXXX813]": 51198,
+  "[XXXXX814]": 50788,
+  "[XXXXX815]": 50120,
+  "[XXXXX816]": 50135,
+  "[XXXXX817]": 50293,
+  "[XXXXX818]": 50153,
+  "[XXXXX819]": 50516,
+  "[XXXXX81]": 50581,
+  "[XXXXX820]": 50586,
+  "[XXXXX821]": 50509,
+  "[XXXXX822]": 50220,
+  "[XXXXX823]": 51068,
+  "[XXXXX824]": 50946,
+  "[XXXXX825]": 50965,
+  "[XXXXX826]": 50032,
+  "[XXXXX827]": 50156,
+  "[XXXXX828]": 50449,
+  "[XXXXX829]": 50531,
+  "[XXXXX82]": 51164,
+  "[XXXXX830]": 50486,
+  "[XXXXX831]": 50357,
+  "[XXXXX832]": 51022,
+  "[XXXXX833]": 50633,
+  "[XXXXX834]": 50754,
+  "[XXXXX835]": 51134,
+  "[XXXXX836]": 50193,
+  "[XXXXX837]": 51088,
+  "[XXXXX838]": 50722,
+  "[XXXXX839]": 50756,
+  "[XXXXX83]": 50977,
+  "[XXXXX840]": 50022,
+  "[XXXXX841]": 51186,
+  "[XXXXX842]": 50575,
+  "[XXXXX843]": 50079,
+  "[XXXXX844]": 50644,
+  "[XXXXX845]": 51033,
+  "[XXXXX846]": 50454,
+  "[XXXXX847]": 50095,
+  "[XXXXX848]": 50902,
+  "[XXXXX849]": 50597,
+  "[XXXXX84]": 50167,
+  "[XXXXX850]": 51051,
+  "[XXXXX851]": 50696,
+  "[XXXXX852]": 50966,
+  "[XXXXX853]": 50034,
+  "[XXXXX854]": 50889,
+  "[XXXXX855]": 50843,
+  "[XXXXX856]": 50963,
+  "[XXXXX857]": 50227,
+  "[XXXXX858]": 51058,
+  "[XXXXX859]": 50850,
+  "[XXXXX85]": 50192,
+  "[XXXXX860]": 50228,
+  "[XXXXX861]": 50570,
+  "[XXXXX862]": 50488,
+  "[XXXXX863]": 50539,
+  "[XXXXX864]": 51182,
+  "[XXXXX865]": 50990,
+  "[XXXXX866]": 50542,
+  "[XXXXX867]": 51069,
+  "[XXXXX868]": 50480,
+  "[XXXXX869]": 50847,
+  "[XXXXX86]": 50874,
+  "[XXXXX870]": 50308,
+  "[XXXXX871]": 50510,
+  "[XXXXX872]": 50423,
+  "[XXXXX873]": 50086,
+  "[XXXXX874]": 50591,
+  "[XXXXX875]": 50728,
+  "[XXXXX876]": 50372,
+  "[XXXXX877]": 50903,
+  "[XXXXX878]": 50868,
+  "[XXXXX879]": 50763,
+  "[XXXXX87]": 50571,
+  "[XXXXX880]": 50096,
+  "[XXXXX881]": 51150,
+  "[XXXXX882]": 50460,
+  "[XXXXX883]": 51087,
+  "[XXXXX884]": 51093,
+  "[XXXXX885]": 50295,
+  "[XXXXX886]": 51037,
+  "[XXXXX887]": 51171,
+  "[XXXXX888]": 50794,
+  "[XXXXX889]": 50628,
+  "[XXXXX88]": 50520,
+  "[XXXXX890]": 51172,
+  "[XXXXX891]": 51046,
+  "[XXXXX892]": 50918,
+  "[XXXXX893]": 50998,
+  "[XXXXX894]": 50371,
+  "[XXXXX895]": 51155,
+  "[XXXXX896]": 50866,
+  "[XXXXX897]": 50229,
+  "[XXXXX898]": 51057,
+  "[XXXXX899]": 50867,
+  "[XXXXX89]": 50537,
+  "[XXXXX8]": 50784,
+  "[XXXXX900]": 50739,
+  "[XXXXX901]": 51080,
+  "[XXXXX902]": 50038,
+  "[XXXXX903]": 50321,
+  "[XXXXX904]": 50774,
+  "[XXXXX905]": 50974,
+  "[XXXXX906]": 50920,
+  "[XXXXX907]": 50469,
+  "[XXXXX908]": 51122,
+  "[XXXXX909]": 51092,
+  "[XXXXX90]": 50514,
+  "[XXXXX910]": 50798,
+  "[XXXXX911]": 50245,
+  "[XXXXX912]": 50367,
+  "[XXXXX913]": 50618,
+  "[XXXXX914]": 50072,
+  "[XXXXX915]": 50450,
+  "[XXXXX916]": 51189,
+  "[XXXXX917]": 50485,
+  "[XXXXX918]": 50283,
+  "[XXXXX919]": 50845,
+  "[XXXXX91]": 50968,
+  "[XXXXX920]": 50429,
+  "[XXXXX921]": 50364,
+  "[XXXXX922]": 50782,
+  "[XXXXX923]": 50534,
+  "[XXXXX924]": 50059,
+  "[XXXXX925]": 50102,
+  "[XXXXX926]": 50185,
+  "[XXXXX927]": 50634,
+  "[XXXXX928]": 50567,
+  "[XXXXX929]": 50895,
+  "[XXXXX92]": 50210,
+  "[XXXXX930]": 50561,
+  "[XXXXX931]": 51021,
+  "[XXXXX932]": 50107,
+  "[XXXXX933]": 50407,
+  "[XXXXX934]": 50654,
+  "[XXXXX935]": 50268,
+  "[XXXXX936]": 51153,
+  "[XXXXX937]": 50552,
+  "[XXXXX938]": 50526,
+  "[XXXXX939]": 50322,
+  "[XXXXX93]": 50912,
+  "[XXXXX940]": 50296,
+  "[XXXXX941]": 50572,
+  "[XXXXX942]": 50393,
+  "[XXXXX943]": 50312,
+  "[XXXXX944]": 50592,
+  "[XXXXX945]": 50982,
+  "[XXXXX946]": 50089,
+  "[XXXXX947]": 50331,
+  "[XXXXX948]": 50279,
+  "[XXXXX949]": 51005,
+  "[XXXXX94]": 50198,
+  "[XXXXX950]": 50114,
+  "[XXXXX951]": 50074,
+  "[XXXXX952]": 50248,
+  "[XXXXX953]": 50857,
+  "[XXXXX954]": 50841,
+  "[XXXXX955]": 51065,
+  "[XXXXX956]": 50234,
+  "[XXXXX957]": 50834,
+  "[XXXXX958]": 50535,
+  "[XXXXX959]": 51109,
+  "[XXXXX95]": 50651,
+  "[XXXXX960]": 50797,
+  "[XXXXX961]": 50914,
+  "[XXXXX962]": 50112,
+  "[XXXXX963]": 50073,
+  "[XXXXX964]": 50559,
+  "[XXXXX965]": 50933,
+  "[XXXXX966]": 50619,
+  "[XXXXX967]": 51187,
+  "[XXXXX968]": 50327,
+  "[XXXXX969]": 50698,
+  "[XXXXX96]": 50420,
+  "[XXXXX970]": 50060,
+  "[XXXXX971]": 50432,
+  "[XXXXX972]": 50620,
+  "[XXXXX973]": 50693,
+  "[XXXXX974]": 50938,
+  "[XXXXX975]": 50983,
+  "[XXXXX976]": 50334,
+  "[XXXXX977]": 50438,
+  "[XXXXX978]": 51154,
+  "[XXXXX979]": 50964,
+  "[XXXXX97]": 50672,
+  "[XXXXX980]": 50511,
+  "[XXXXX981]": 50244,
+  "[XXXXX982]": 50266,
+  "[XXXXX983]": 50134,
+  "[XXXXX984]": 50338,
+  "[XXXXX985]": 51121,
+  "[XXXXX986]": 50323,
+  "[XXXXX987]": 50909,
+  "[XXXXX988]": 51000,
+  "[XXXXX989]": 50036,
+  "[XXXXX98]": 50787,
+  "[XXXXX990]": 50512,
+  "[XXXXX991]": 50191,
+  "[XXXXX992]": 50187,
+  "[XXXXX993]": 51156,
+  "[XXXXX994]": 51135,
+  "[XXXXX995]": 50355,
+  "[XXXXX996]": 51027,
+  "[XXXXX997]": 50297,
+  "[XXXXX998]": 50928,
+  "[XXXXX999]": 50697,
+  "[XXXXX99]": 50980,
+  "[XXXXX9]": 50961
+}
diff --git a/checkpoint-7500/config.json b/checkpoint-7500/config.json
new file mode 100644
index 0000000..000c292
--- /dev/null
+++ b/checkpoint-7500/config.json
@@ -0,0 +1,34 @@
+{
+  "activation_function": "gelu",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50000,
+  "dtype": "bfloat16",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50001,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 512,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": 3072,
+  "n_layer": 12,
+  "n_positions": 512,
+  "pad_token_id": 50002,
+  "prefix": "[CLS]",
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "vocab_size": 51200
+}
diff --git a/checkpoint-7500/generation_config.json b/checkpoint-7500/generation_config.json
new file mode 100644
index 0000000..4c122f0
--- /dev/null
+++ b/checkpoint-7500/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50000,
+  "eos_token_id": [
+    50001
+  ],
+  "pad_token_id": 50002,
+  "transformers_version": "4.56.2"
+}
diff --git a/checkpoint-7500/model.safetensors b/checkpoint-7500/model.safetensors
new file mode 100644
index 0000000..e8f71f7
--- /dev/null
+++ b/checkpoint-7500/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f2070324c979b351d5530937b2478655c47f90886ac3be9e9c380bc9d65c2c3f
+size 249556672
diff --git a/checkpoint-7500/rng_state.pth b/checkpoint-7500/rng_state.pth
new file mode 100644
index 0000000..fcab9b4
--- /dev/null
+++ b/checkpoint-7500/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4e5aa7d9be5c2a848e7991eafcb95c1fc8faa35107e3ff4e8aedae04cc643422
+size 14645
diff --git a/checkpoint-7500/special_tokens_map.json b/checkpoint-7500/special_tokens_map.json
new file mode 100644
index 0000000..c78a835
--- /dev/null
+++ b/checkpoint-7500/special_tokens_map.json
@@ -0,0 +1,1249 @@
+{
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/checkpoint-7500/spiece.model b/checkpoint-7500/spiece.model
new file mode 100644
index 0000000..85d6e93
--- /dev/null
+++ b/checkpoint-7500/spiece.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:762a1e078899c6ba7ef62ef873a57b860c51cc0518791854659b58b4c89742fe
+size 1170764
diff --git a/checkpoint-7500/tokenizer_config.json b/checkpoint-7500/tokenizer_config.json
new file mode 100644
index 0000000..b27d01f
--- /dev/null
+++ b/checkpoint-7500/tokenizer_config.json
@@ -0,0 +1,10825 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50000": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50001": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50002": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50003": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50004": {
+      "content": "[XXXXX160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50005": {
+      "content": "[XXXXX240]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50006": {
+      "content": "[XXXXX717]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50007": {
+      "content": "[XXXXX23]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50008": {
+      "content": "[XXXXX161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50009": {
+      "content": "[XXXXX1156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50010": {
+      "content": "[XXXXX5]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50011": {
+      "content": "[XXXXX597]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50012": {
+      "content": "[XXXXX415]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50013": {
+      "content": "[XXXXX693]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50014": {
+      "content": "[XXXXX1083]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50015": {
+      "content": "[XXXXX784]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50016": {
+      "content": "[XXXXX686]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50017": {
+      "content": "[XXXXX379]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50018": {
+      "content": "[XXXXX335]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50019": {
+      "content": "[XXXXX73]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50020": {
+      "content": "[XXXXX758]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50021": {
+      "content": "[XXXXX805]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50022": {
+      "content": "[XXXXX840]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50023": {
+      "content": "[XXXXX1037]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50024": {
+      "content": "[XXXXX235]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50025": {
+      "content": "[XXXXX1107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50026": {
+      "content": "[XXXXX776]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50027": {
+      "content": "[XXXXX286]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50028": {
+      "content": "[XXXXX396]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50029": {
+      "content": "[XXXXX478]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50030": {
+      "content": "[XXXXX669]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50031": {
+      "content": "[XXXXX691]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50032": {
+      "content": "[XXXXX826]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50033": {
+      "content": "[XXXXX1150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50034": {
+      "content": "[XXXXX853]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50035": {
+      "content": "[XXXXX130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50036": {
+      "content": "[XXXXX989]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50037": {
+      "content": "[XXXXX249]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50038": {
+      "content": "[XXXXX902]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50039": {
+      "content": "[XXXXX1169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50040": {
+      "content": "[XXXXX260]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50041": {
+      "content": "[XXXXX706]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50042": {
+      "content": "[XXXXX146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50043": {
+      "content": "[XXXXX198]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50044": {
+      "content": "[XXXXX303]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50045": {
+      "content": "[XXXXX1192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50046": {
+      "content": "[XXXXX635]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50047": {
+      "content": "[XXXXX271]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50048": {
+      "content": "[XXXXX1023]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50049": {
+      "content": "[XXXXX602]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50050": {
+      "content": "[XXXXX291]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50051": {
+      "content": "[XXXXX190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50052": {
+      "content": "[XXXXX1055]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50053": {
+      "content": "[XXXXX70]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50054": {
+      "content": "[XXXXX178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50055": {
+      "content": "[XXXXX318]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50056": {
+      "content": "[XXXXX62]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50057": {
+      "content": "[XXXXX473]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50058": {
+      "content": "[XXXXX517]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50059": {
+      "content": "[XXXXX924]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50060": {
+      "content": "[XXXXX970]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50061": {
+      "content": "[XXXXX1033]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50062": {
+      "content": "[XXXXX110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50063": {
+      "content": "[XXXXX1151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50064": {
+      "content": "[XXXXX1189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50065": {
+      "content": "[XXXXX1095]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50066": {
+      "content": "[XXXXX148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50067": {
+      "content": "[XXXXX337]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50068": {
+      "content": "[XXXXX245]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50069": {
+      "content": "[XXXXX407]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50070": {
+      "content": "[XXXXX557]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50071": {
+      "content": "[XXXXX576]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50072": {
+      "content": "[XXXXX914]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50073": {
+      "content": "[XXXXX963]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50074": {
+      "content": "[XXXXX951]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50075": {
+      "content": "[XXXXX721]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50076": {
+      "content": "[XXXXX1174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50077": {
+      "content": "[XXXXX3]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50078": {
+      "content": "[XXXXX792]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50079": {
+      "content": "[XXXXX843]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50080": {
+      "content": "[XXXXX590]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50081": {
+      "content": "[XXXXX118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50082": {
+      "content": "[XXXXX280]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50083": {
+      "content": "[XXXXX1119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50084": {
+      "content": "[XXXXX1025]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50085": {
+      "content": "[XXXXX140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50086": {
+      "content": "[XXXXX873]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50087": {
+      "content": "[XXXXX103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50088": {
+      "content": "[XXXXX307]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50089": {
+      "content": "[XXXXX946]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50090": {
+      "content": "[XXXXX782]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50091": {
+      "content": "[XXXXX100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50092": {
+      "content": "[XXXXX485]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50093": {
+      "content": "[XXXXX151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50094": {
+      "content": "[XXXXX213]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50095": {
+      "content": "[XXXXX847]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50096": {
+      "content": "[XXXXX880]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50097": {
+      "content": "[XXXXX44]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50098": {
+      "content": "[XXXXX1031]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50099": {
+      "content": "[XXXXX545]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50100": {
+      "content": "[XXXXX78]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50101": {
+      "content": "[XXXXX687]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50102": {
+      "content": "[XXXXX925]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50103": {
+      "content": "[XXXXX519]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50104": {
+      "content": "[XXXXX1191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50105": {
+      "content": "[XXXXX13]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50106": {
+      "content": "[XXXXX487]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50107": {
+      "content": "[XXXXX932]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50108": {
+      "content": "[XXXXX119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50109": {
+      "content": "[XXXXX170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50110": {
+      "content": "[XXXXX254]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50111": {
+      "content": "[XXXXX420]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50112": {
+      "content": "[XXXXX962]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50113": {
+      "content": "[XXXXX441]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50114": {
+      "content": "[XXXXX950]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50115": {
+      "content": "[XXXXX18]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50116": {
+      "content": "[XXXXX676]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50117": {
+      "content": "[XXXXX1133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50118": {
+      "content": "[XXXXX618]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50119": {
+      "content": "[XXXXX374]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50120": {
+      "content": "[XXXXX815]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50121": {
+      "content": "[XXXXX1058]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50122": {
+      "content": "[XXXXX1108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50123": {
+      "content": "[XXXXX1144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50124": {
+      "content": "[XXXXX791]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50125": {
+      "content": "[XXXXX259]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50126": {
+      "content": "[XXXXX1074]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50127": {
+      "content": "[XXXXX696]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50128": {
+      "content": "[XXXXX1168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50129": {
+      "content": "[XXXXX592]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50130": {
+      "content": "[XXXXX127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50131": {
+      "content": "[XXXXX136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50132": {
+      "content": "[XXXXX237]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50133": {
+      "content": "[XXXXX705]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50134": {
+      "content": "[XXXXX983]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50135": {
+      "content": "[XXXXX816]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50136": {
+      "content": "[XXXXX412]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50137": {
+      "content": "[XXXXX410]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50138": {
+      "content": "[XXXXX795]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50139": {
+      "content": "[XXXXX101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50140": {
+      "content": "[XXXXX171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50141": {
+      "content": "[XXXXX628]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50142": {
+      "content": "[XXXXX1038]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50143": {
+      "content": "[XXXXX447]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50144": {
+      "content": "[XXXXX1043]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50145": {
+      "content": "[XXXXX147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50146": {
+      "content": "[XXXXX1112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50147": {
+      "content": "[XXXXX186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50148": {
+      "content": "[XXXXX461]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50149": {
+      "content": "[XXXXX423]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50150": {
+      "content": "[XXXXX26]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50151": {
+      "content": "[XXXXX227]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50152": {
+      "content": "[XXXXX746]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50153": {
+      "content": "[XXXXX818]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50154": {
+      "content": "[XXXXX725]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50155": {
+      "content": "[XXXXX400]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50156": {
+      "content": "[XXXXX827]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50157": {
+      "content": "[XXXXX1020]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50158": {
+      "content": "[XXXXX1060]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50159": {
+      "content": "[XXXXX195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50160": {
+      "content": "[XXXXX526]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50161": {
+      "content": "[XXXXX570]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50162": {
+      "content": "[XXXXX174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50163": {
+      "content": "[XXXXX333]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50164": {
+      "content": "[XXXXX466]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50165": {
+      "content": "[XXXXX513]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50166": {
+      "content": "[XXXXX695]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50167": {
+      "content": "[XXXXX84]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50168": {
+      "content": "[XXXXX1080]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50169": {
+      "content": "[XXXXX76]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50170": {
+      "content": "[XXXXX742]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50171": {
+      "content": "[XXXXX1008]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50172": {
+      "content": "[XXXXX1123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50173": {
+      "content": "[XXXXX1145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50174": {
+      "content": "[XXXXX701]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50175": {
+      "content": "[XXXXX562]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50176": {
+      "content": "[XXXXX615]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50177": {
+      "content": "[XXXXX389]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50178": {
+      "content": "[XXXXX267]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50179": {
+      "content": "[XXXXX323]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50180": {
+      "content": "[XXXXX346]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50181": {
+      "content": "[XXXXX287]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50182": {
+      "content": "[XXXXX469]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50183": {
+      "content": "[XXXXX58]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50184": {
+      "content": "[XXXXX431]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50185": {
+      "content": "[XXXXX926]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50186": {
+      "content": "[XXXXX1182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50187": {
+      "content": "[XXXXX992]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50188": {
+      "content": "[XXXXX185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50189": {
+      "content": "[XXXXX352]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50190": {
+      "content": "[XXXXX762]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50191": {
+      "content": "[XXXXX991]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50192": {
+      "content": "[XXXXX85]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50193": {
+      "content": "[XXXXX836]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50194": {
+      "content": "[XXXXX460]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50195": {
+      "content": "[XXXXX272]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50196": {
+      "content": "[XXXXX619]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50197": {
+      "content": "[XXXXX759]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50198": {
+      "content": "[XXXXX94]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50199": {
+      "content": "[XXXXX807]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50200": {
+      "content": "[XXXXX299]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50201": {
+      "content": "[XXXXX187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50202": {
+      "content": "[XXXXX486]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50203": {
+      "content": "[XXXXX45]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50204": {
+      "content": "[XXXXX1036]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50205": {
+      "content": "[XXXXX354]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50206": {
+      "content": "[XXXXX386]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50207": {
+      "content": "[XXXXX714]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50208": {
+      "content": "[XXXXX769]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50209": {
+      "content": "[XXXXX304]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50210": {
+      "content": "[XXXXX92]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50211": {
+      "content": "[XXXXX7]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50212": {
+      "content": "[XXXXX31]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50213": {
+      "content": "[XXXXX102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50214": {
+      "content": "[XXXXX163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50215": {
+      "content": "[XXXXX723]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50216": {
+      "content": "[XXXXX1042]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50217": {
+      "content": "[XXXXX452]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50218": {
+      "content": "[XXXXX622]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50219": {
+      "content": "[XXXXX1056]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50220": {
+      "content": "[XXXXX822]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50221": {
+      "content": "[XXXXX125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50222": {
+      "content": "[XXXXX617]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50223": {
+      "content": "[XXXXX34]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50224": {
+      "content": "[XXXXX712]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50225": {
+      "content": "[XXXXX780]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50226": {
+      "content": "[XXXXX547]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50227": {
+      "content": "[XXXXX857]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50228": {
+      "content": "[XXXXX860]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50229": {
+      "content": "[XXXXX897]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50230": {
+      "content": "[XXXXX663]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50231": {
+      "content": "[XXXXX736]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50232": {
+      "content": "[XXXXX202]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50233": {
+      "content": "[XXXXX1029]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50234": {
+      "content": "[XXXXX956]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50235": {
+      "content": "[XXXXX397]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50236": {
+      "content": "[XXXXX239]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50237": {
+      "content": "[XXXXX472]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50238": {
+      "content": "[XXXXX230]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50239": {
+      "content": "[XXXXX796]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50240": {
+      "content": "[XXXXX639]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50241": {
+      "content": "[XXXXX203]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50242": {
+      "content": "[XXXXX231]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50243": {
+      "content": "[XXXXX652]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50244": {
+      "content": "[XXXXX981]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50245": {
+      "content": "[XXXXX911]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50246": {
+      "content": "[XXXXX380]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50247": {
+      "content": "[XXXXX477]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50248": {
+      "content": "[XXXXX952]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50249": {
+      "content": "[XXXXX28]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50250": {
+      "content": "[XXXXX801]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50251": {
+      "content": "[XXXXX1134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50252": {
+      "content": "[XXXXX1176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50253": {
+      "content": "[XXXXX180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50254": {
+      "content": "[XXXXX598]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50255": {
+      "content": "[XXXXX365]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50256": {
+      "content": "[XXXXX729]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50257": {
+      "content": "[XXXXX214]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50258": {
+      "content": "[XXXXX1117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50259": {
+      "content": "[XXXXX278]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50260": {
+      "content": "[XXXXX522]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50261": {
+      "content": "[XXXXX683]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50262": {
+      "content": "[XXXXX731]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50263": {
+      "content": "[XXXXX312]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "[XXXXX1178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50265": {
+      "content": "[XXXXX666]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50266": {
+      "content": "[XXXXX982]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50267": {
+      "content": "[XXXXX414]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50268": {
+      "content": "[XXXXX935]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50269": {
+      "content": "[XXXXX1089]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50270": {
+      "content": "[XXXXX236]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50271": {
+      "content": "[XXXXX463]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50272": {
+      "content": "[XXXXX52]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50273": {
+      "content": "[XXXXX593]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50274": {
+      "content": "[XXXXX508]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50275": {
+      "content": "[XXXXX1125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50276": {
+      "content": "[XXXXX462]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50277": {
+      "content": "[XXXXX32]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50278": {
+      "content": "[XXXXX596]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50279": {
+      "content": "[XXXXX948]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50280": {
+      "content": "[XXXXX150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50281": {
+      "content": "[XXXXX322]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50282": {
+      "content": "[XXXXX390]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50283": {
+      "content": "[XXXXX918]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50284": {
+      "content": "[XXXXX157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50285": {
+      "content": "[XXXXX310]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50286": {
+      "content": "[XXXXX392]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50287": {
+      "content": "[XXXXX649]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50288": {
+      "content": "[XXXXX158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50289": {
+      "content": "[XXXXX430]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50290": {
+      "content": "[XXXXX384]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50291": {
+      "content": "[XXXXX760]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50292": {
+      "content": "[XXXXX700]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50293": {
+      "content": "[XXXXX817]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50294": {
+      "content": "[XXXXX115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50295": {
+      "content": "[XXXXX885]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50296": {
+      "content": "[XXXXX940]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50297": {
+      "content": "[XXXXX997]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50298": {
+      "content": "[XXXXX61]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50299": {
+      "content": "[XXXXX209]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50300": {
+      "content": "[XXXXX316]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50301": {
+      "content": "[XXXXX537]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50302": {
+      "content": "[XXXXX599]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50303": {
+      "content": "[XXXXX680]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50304": {
+      "content": "[XXXXX135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50305": {
+      "content": "[XXXXX39]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50306": {
+      "content": "[XXXXX685]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50307": {
+      "content": "[XXXXX806]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50308": {
+      "content": "[XXXXX870]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50309": {
+      "content": "[XXXXX1096]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50310": {
+      "content": "[XXXXX366]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50311": {
+      "content": "[XXXXX509]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50312": {
+      "content": "[XXXXX943]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50313": {
+      "content": "[XXXXX292]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50314": {
+      "content": "[XXXXX367]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50315": {
+      "content": "[XXXXX632]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50316": {
+      "content": "[XXXXX1136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50317": {
+      "content": "[XXXXX156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50318": {
+      "content": "[XXXXX1100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50319": {
+      "content": "[XXXXX432]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50320": {
+      "content": "[XXXXX514]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50321": {
+      "content": "[XXXXX903]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50322": {
+      "content": "[XXXXX939]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50323": {
+      "content": "[XXXXX986]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50324": {
+      "content": "[XXXXX506]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50325": {
+      "content": "[XXXXX10]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50326": {
+      "content": "[XXXXX573]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50327": {
+      "content": "[XXXXX968]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50328": {
+      "content": "[XXXXX1039]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50329": {
+      "content": "[XXXXX252]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50330": {
+      "content": "[XXXXX612]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50331": {
+      "content": "[XXXXX947]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50332": {
+      "content": "[XXXXX1162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50333": {
+      "content": "[XXXXX733]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50334": {
+      "content": "[XXXXX976]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50335": {
+      "content": "[XXXXX535]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50336": {
+      "content": "[XXXXX710]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50337": {
+      "content": "[XXXXX40]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50338": {
+      "content": "[XXXXX984]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50339": {
+      "content": "[XXXXX584]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50340": {
+      "content": "[XXXXX132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50341": {
+      "content": "[XXXXX1084]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50342": {
+      "content": "[XXXXX549]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50343": {
+      "content": "[XXXXX810]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50344": {
+      "content": "[XXXXX208]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50345": {
+      "content": "[XXXXX609]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50346": {
+      "content": "[XXXXX275]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50347": {
+      "content": "[XXXXX262]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50348": {
+      "content": "[XXXXX331]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50349": {
+      "content": "[XXXXX361]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50350": {
+      "content": "[XXXXX561]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50351": {
+      "content": "[XXXXX143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50352": {
+      "content": "[XXXXX1061]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50353": {
+      "content": "[XXXXX59]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50354": {
+      "content": "[XXXXX21]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50355": {
+      "content": "[XXXXX995]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50356": {
+      "content": "[XXXXX439]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50357": {
+      "content": "[XXXXX831]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50358": {
+      "content": "[XXXXX745]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50359": {
+      "content": "[XXXXX43]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50360": {
+      "content": "[XXXXX498]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50361": {
+      "content": "[XXXXX575]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50362": {
+      "content": "[XXXXX624]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50363": {
+      "content": "[XXXXX72]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50364": {
+      "content": "[XXXXX921]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50365": {
+      "content": "[XXXXX201]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50366": {
+      "content": "[XXXXX1171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50367": {
+      "content": "[XXXXX912]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50368": {
+      "content": "[XXXXX775]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50369": {
+      "content": "[XXXXX1094]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50370": {
+      "content": "[XXXXX80]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50371": {
+      "content": "[XXXXX894]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50372": {
+      "content": "[XXXXX876]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50373": {
+      "content": "[XXXXX1143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50374": {
+      "content": "[XXXXX355]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50375": {
+      "content": "[XXXXX450]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50376": {
+      "content": "[XXXXX642]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50377": {
+      "content": "[XXXXX162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50378": {
+      "content": "[XXXXX394]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50379": {
+      "content": "[XXXXX296]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50380": {
+      "content": "[XXXXX536]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50381": {
+      "content": "[XXXXX560]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50382": {
+      "content": "[XXXXX373]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50383": {
+      "content": "[XXXXX674]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50384": {
+      "content": "[XXXXX1099]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50385": {
+      "content": "[XXXXX797]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50386": {
+      "content": "[XXXXX516]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50387": {
+      "content": "[XXXXX41]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50388": {
+      "content": "[XXXXX594]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50389": {
+      "content": "[XXXXX319]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50390": {
+      "content": "[XXXXX165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50391": {
+      "content": "[XXXXX344]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50392": {
+      "content": "[XXXXX1012]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50393": {
+      "content": "[XXXXX942]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50394": {
+      "content": "[XXXXX1071]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50395": {
+      "content": "[XXXXX648]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50396": {
+      "content": "[XXXXX4]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50397": {
+      "content": "[XXXXX633]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50398": {
+      "content": "[XXXXX551]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50399": {
+      "content": "[XXXXX586]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50400": {
+      "content": "[XXXXX578]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50401": {
+      "content": "[XXXXX348]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50402": {
+      "content": "[XXXXX614]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50403": {
+      "content": "[XXXXX33]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50404": {
+      "content": "[XXXXX1193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50405": {
+      "content": "[XXXXX737]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50406": {
+      "content": "[XXXXX233]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50407": {
+      "content": "[XXXXX933]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50408": {
+      "content": "[XXXXX781]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50409": {
+      "content": "[XXXXX189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50410": {
+      "content": "[XXXXX1006]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50411": {
+      "content": "[XXXXX219]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50412": {
+      "content": "[XXXXX454]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50413": {
+      "content": "[XXXXX449]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50414": {
+      "content": "[XXXXX697]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50415": {
+      "content": "[XXXXX724]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50416": {
+      "content": "[XXXXX224]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50417": {
+      "content": "[XXXXX1157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50418": {
+      "content": "[XXXXX455]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50419": {
+      "content": "[XXXXX505]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50420": {
+      "content": "[XXXXX96]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50421": {
+      "content": "[XXXXX182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50422": {
+      "content": "[XXXXX424]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50423": {
+      "content": "[XXXXX872]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50424": {
+      "content": "[XXXXX1163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50425": {
+      "content": "[XXXXX1081]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50426": {
+      "content": "[XXXXX1173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50427": {
+      "content": "[XXXXX172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50428": {
+      "content": "[XXXXX507]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50429": {
+      "content": "[XXXXX920]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50430": {
+      "content": "[XXXXX1126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50431": {
+      "content": "[XXXXX474]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50432": {
+      "content": "[XXXXX971]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50433": {
+      "content": "[XXXXX1049]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50434": {
+      "content": "[XXXXX1114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50435": {
+      "content": "[XXXXX1040]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50436": {
+      "content": "[XXXXX79]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50437": {
+      "content": "[XXXXX36]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50438": {
+      "content": "[XXXXX977]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50439": {
+      "content": "[XXXXX1129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50440": {
+      "content": "[XXXXX1063]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50441": {
+      "content": "[XXXXX773]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50442": {
+      "content": "[XXXXX16]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50443": {
+      "content": "[XXXXX113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50444": {
+      "content": "[XXXXX320]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50445": {
+      "content": "[XXXXX167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50446": {
+      "content": "[XXXXX751]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50447": {
+      "content": "[XXXXX656]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50448": {
+      "content": "[XXXXX543]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50449": {
+      "content": "[XXXXX828]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50450": {
+      "content": "[XXXXX915]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50451": {
+      "content": "[XXXXX1098]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50452": {
+      "content": "[XXXXX569]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50453": {
+      "content": "[XXXXX1166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50454": {
+      "content": "[XXXXX846]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50455": {
+      "content": "[XXXXX324]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50456": {
+      "content": "[XXXXX802]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50457": {
+      "content": "[XXXXX588]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50458": {
+      "content": "[XXXXX739]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50459": {
+      "content": "[XXXXX50]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50460": {
+      "content": "[XXXXX882]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50461": {
+      "content": "[XXXXX1054]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50462": {
+      "content": "[XXXXX621]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50463": {
+      "content": "[XXXXX585]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50464": {
+      "content": "[XXXXX121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50465": {
+      "content": "[XXXXX647]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50466": {
+      "content": "[XXXXX767]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50467": {
+      "content": "[XXXXX645]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50468": {
+      "content": "[XXXXX27]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50469": {
+      "content": "[XXXXX907]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50470": {
+      "content": "[XXXXX1109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50471": {
+      "content": "[XXXXX1147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50472": {
+      "content": "[XXXXX501]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50473": {
+      "content": "[XXXXX1164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50474": {
+      "content": "[XXXXX650]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50475": {
+      "content": "[XXXXX329]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50476": {
+      "content": "[XXXXX659]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50477": {
+      "content": "[XXXXX1158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50478": {
+      "content": "[XXXXX104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50479": {
+      "content": "[XXXXX629]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50480": {
+      "content": "[XXXXX868]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50481": {
+      "content": "[XXXXX779]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50482": {
+      "content": "[XXXXX17]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50483": {
+      "content": "[XXXXX377]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50484": {
+      "content": "[XXXXX467]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50485": {
+      "content": "[XXXXX917]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50486": {
+      "content": "[XXXXX830]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50487": {
+      "content": "[XXXXX533]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50488": {
+      "content": "[XXXXX862]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50489": {
+      "content": "[XXXXX1041]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50490": {
+      "content": "[XXXXX542]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50491": {
+      "content": "[XXXXX595]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50492": {
+      "content": "[XXXXX353]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50493": {
+      "content": "[XXXXX181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50494": {
+      "content": "[XXXXX662]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50495": {
+      "content": "[XXXXX1195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50496": {
+      "content": "[XXXXX435]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50497": {
+      "content": "[XXXXX1051]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50498": {
+      "content": "[XXXXX703]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50499": {
+      "content": "[XXXXX1140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50500": {
+      "content": "[XXXXX750]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50501": {
+      "content": "[XXXXX57]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50502": {
+      "content": "[XXXXX75]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50503": {
+      "content": "[XXXXX293]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50504": {
+      "content": "[XXXXX681]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50505": {
+      "content": "[XXXXX46]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50506": {
+      "content": "[XXXXX30]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50507": {
+      "content": "[XXXXX402]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50508": {
+      "content": "[XXXXX803]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50509": {
+      "content": "[XXXXX821]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50510": {
+      "content": "[XXXXX871]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50511": {
+      "content": "[XXXXX980]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50512": {
+      "content": "[XXXXX990]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50513": {
+      "content": "[XXXXX626]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50514": {
+      "content": "[XXXXX90]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50515": {
+      "content": "[XXXXX77]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50516": {
+      "content": "[XXXXX819]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50517": {
+      "content": "[XXXXX436]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50518": {
+      "content": "[XXXXX306]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50519": {
+      "content": "[XXXXX434]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50520": {
+      "content": "[XXXXX88]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50521": {
+      "content": "[XXXXX184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50522": {
+      "content": "[XXXXX290]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50523": {
+      "content": "[XXXXX216]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50524": {
+      "content": "[XXXXX176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50525": {
+      "content": "[XXXXX747]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50526": {
+      "content": "[XXXXX938]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50527": {
+      "content": "[XXXXX442]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50528": {
+      "content": "[XXXXX301]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50529": {
+      "content": "[XXXXX1015]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50530": {
+      "content": "[XXXXX520]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50531": {
+      "content": "[XXXXX829]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50532": {
+      "content": "[XXXXX106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50533": {
+      "content": "[XXXXX1048]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50534": {
+      "content": "[XXXXX923]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50535": {
+      "content": "[XXXXX958]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50536": {
+      "content": "[XXXXX1130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50537": {
+      "content": "[XXXXX89]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50538": {
+      "content": "[XXXXX548]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50539": {
+      "content": "[XXXXX863]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50540": {
+      "content": "[XXXXX444]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50541": {
+      "content": "[XXXXX1149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50542": {
+      "content": "[XXXXX866]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50543": {
+      "content": "[XXXXX109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50544": {
+      "content": "[XXXXX550]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50545": {
+      "content": "[XXXXX727]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50546": {
+      "content": "[XXXXX646]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50547": {
+      "content": "[XXXXX702]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50548": {
+      "content": "[XXXXX204]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50549": {
+      "content": "[XXXXX1000]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50550": {
+      "content": "[XXXXX591]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50551": {
+      "content": "[XXXXX1128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50552": {
+      "content": "[XXXXX937]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50553": {
+      "content": "[XXXXX141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50554": {
+      "content": "[XXXXX273]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50555": {
+      "content": "[XXXXX1183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50556": {
+      "content": "[XXXXX765]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50557": {
+      "content": "[XXXXX371]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50558": {
+      "content": "[XXXXX256]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50559": {
+      "content": "[XXXXX964]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50560": {
+      "content": "[XXXXX1148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50561": {
+      "content": "[XXXXX930]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50562": {
+      "content": "[XXXXX212]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50563": {
+      "content": "[XXXXX133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50564": {
+      "content": "[XXXXX608]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50565": {
+      "content": "[XXXXX281]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50566": {
+      "content": "[XXXXX1045]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50567": {
+      "content": "[XXXXX928]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50568": {
+      "content": "[XXXXX1154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50569": {
+      "content": "[XXXXX334]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50570": {
+      "content": "[XXXXX861]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50571": {
+      "content": "[XXXXX87]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50572": {
+      "content": "[XXXXX941]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50573": {
+      "content": "[XXXXX359]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50574": {
+      "content": "[XXXXX55]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50575": {
+      "content": "[XXXXX842]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50576": {
+      "content": "[XXXXX427]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50577": {
+      "content": "[XXXXX491]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50578": {
+      "content": "[XXXXX137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50579": {
+      "content": "[XXXXX47]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50580": {
+      "content": "[XXXXX511]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50581": {
+      "content": "[XXXXX81]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50582": {
+      "content": "[XXXXX139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50583": {
+      "content": "[XXXXX226]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50584": {
+      "content": "[XXXXX563]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50585": {
+      "content": "[XXXXX708]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50586": {
+      "content": "[XXXXX820]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50587": {
+      "content": "[XXXXX65]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50588": {
+      "content": "[XXXXX381]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50589": {
+      "content": "[XXXXX22]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50590": {
+      "content": "[XXXXX1064]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50591": {
+      "content": "[XXXXX874]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50592": {
+      "content": "[XXXXX944]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50593": {
+      "content": "[XXXXX6]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50594": {
+      "content": "[XXXXX313]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50595": {
+      "content": "[XXXXX471]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50596": {
+      "content": "[XXXXX1118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50597": {
+      "content": "[XXXXX849]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50598": {
+      "content": "[XXXXX483]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50599": {
+      "content": "[XXXXX713]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50600": {
+      "content": "[XXXXX222]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50601": {
+      "content": "[XXXXX640]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50602": {
+      "content": "[XXXXX12]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50603": {
+      "content": "[XXXXX285]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50604": {
+      "content": "[XXXXX327]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50605": {
+      "content": "[XXXXX378]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50606": {
+      "content": "[XXXXX790]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50607": {
+      "content": "[XXXXX1179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50608": {
+      "content": "[XXXXX15]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50609": {
+      "content": "[XXXXX229]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50610": {
+      "content": "[XXXXX771]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50611": {
+      "content": "[XXXXX559]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50612": {
+      "content": "[XXXXX253]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50613": {
+      "content": "[XXXXX644]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50614": {
+      "content": "[XXXXX811]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50615": {
+      "content": "[XXXXX554]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50616": {
+      "content": "[XXXXX744]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50617": {
+      "content": "[XXXXX786]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50618": {
+      "content": "[XXXXX913]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50619": {
+      "content": "[XXXXX966]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50620": {
+      "content": "[XXXXX972]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50621": {
+      "content": "[XXXXX664]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50622": {
+      "content": "[XXXXX1131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50623": {
+      "content": "[XXXXX1132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50624": {
+      "content": "[XXXXX376]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50625": {
+      "content": "[XXXXX672]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50626": {
+      "content": "[XXXXX1013]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50627": {
+      "content": "[XXXXX328]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50628": {
+      "content": "[XXXXX889]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50629": {
+      "content": "[XXXXX1141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50630": {
+      "content": "[XXXXX429]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50631": {
+      "content": "[XXXXX114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50632": {
+      "content": "[XXXXX523]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50633": {
+      "content": "[XXXXX833]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50634": {
+      "content": "[XXXXX927]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50635": {
+      "content": "[XXXXX297]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50636": {
+      "content": "[XXXXX812]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50637": {
+      "content": "[XXXXX1062]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50638": {
+      "content": "[XXXXX152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50639": {
+      "content": "[XXXXX1010]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50640": {
+      "content": "[XXXXX690]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50641": {
+      "content": "[XXXXX363]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50642": {
+      "content": "[XXXXX1103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50643": {
+      "content": "[XXXXX194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50644": {
+      "content": "[XXXXX844]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50645": {
+      "content": "[XXXXX667]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50646": {
+      "content": "[XXXXX720]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50647": {
+      "content": "[XXXXX770]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50648": {
+      "content": "[XXXXX515]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50649": {
+      "content": "[XXXXX196]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50650": {
+      "content": "[XXXXX283]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50651": {
+      "content": "[XXXXX95]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50652": {
+      "content": "[XXXXX528]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50653": {
+      "content": "[XXXXX749]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50654": {
+      "content": "[XXXXX934]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50655": {
+      "content": "[XXXXX1052]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50656": {
+      "content": "[XXXXX1188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50657": {
+      "content": "[XXXXX1001]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50658": {
+      "content": "[XXXXX785]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50659": {
+      "content": "[XXXXX393]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50660": {
+      "content": "[XXXXX502]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50661": {
+      "content": "[XXXXX404]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50662": {
+      "content": "[XXXXX129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50663": {
+      "content": "[XXXXX643]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50664": {
+      "content": "[XXXXX1086]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50665": {
+      "content": "[XXXXX1104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50666": {
+      "content": "[XXXXX326]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50667": {
+      "content": "[XXXXX330]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50668": {
+      "content": "[XXXXX620]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50669": {
+      "content": "[XXXXX193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50670": {
+      "content": "[XXXXX470]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50671": {
+      "content": "[XXXXX279]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50672": {
+      "content": "[XXXXX97]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50673": {
+      "content": "[XXXXX177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50674": {
+      "content": "[XXXXX510]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50675": {
+      "content": "[XXXXX225]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50676": {
+      "content": "[XXXXX572]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50677": {
+      "content": "[XXXXX777]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50678": {
+      "content": "[XXXXX1135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50679": {
+      "content": "[XXXXX1160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50680": {
+      "content": "[XXXXX558]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50681": {
+      "content": "[XXXXX416]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50682": {
+      "content": "[XXXXX246]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50683": {
+      "content": "[XXXXX799]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50684": {
+      "content": "[XXXXX153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50685": {
+      "content": "[XXXXX671]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50686": {
+      "content": "[XXXXX809]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50687": {
+      "content": "[XXXXX525]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50688": {
+      "content": "[XXXXX1004]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50689": {
+      "content": "[XXXXX1005]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50690": {
+      "content": "[XXXXX1194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50691": {
+      "content": "[XXXXX408]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50692": {
+      "content": "[XXXXX492]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50693": {
+      "content": "[XXXXX973]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50694": {
+      "content": "[XXXXX242]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50695": {
+      "content": "[XXXXX357]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50696": {
+      "content": "[XXXXX851]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50697": {
+      "content": "[XXXXX999]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50698": {
+      "content": "[XXXXX969]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50699": {
+      "content": "[XXXXX453]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50700": {
+      "content": "[XXXXX730]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50701": {
+      "content": "[XXXXX54]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50702": {
+      "content": "[XXXXX480]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50703": {
+      "content": "[XXXXX564]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50704": {
+      "content": "[XXXXX600]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50705": {
+      "content": "[XXXXX654]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50706": {
+      "content": "[XXXXX37]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50707": {
+      "content": "[XXXXX605]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50708": {
+      "content": "[XXXXX164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50709": {
+      "content": "[XXXXX395]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50710": {
+      "content": "[XXXXX401]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50711": {
+      "content": "[XXXXX446]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50712": {
+      "content": "[XXXXX658]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50713": {
+      "content": "[XXXXX60]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50714": {
+      "content": "[XXXXX107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50715": {
+      "content": "[XXXXX131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50716": {
+      "content": "[XXXXX387]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50717": {
+      "content": "[XXXXX67]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50718": {
+      "content": "[XXXXX743]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50719": {
+      "content": "[XXXXX657]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50720": {
+      "content": "[XXXXX418]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50721": {
+      "content": "[XXXXX787]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50722": {
+      "content": "[XXXXX838]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50723": {
+      "content": "[XXXXX298]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50724": {
+      "content": "[XXXXX1007]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50725": {
+      "content": "[XXXXX1027]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50726": {
+      "content": "[XXXXX1078]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50727": {
+      "content": "[XXXXX651]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50728": {
+      "content": "[XXXXX875]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50729": {
+      "content": "[XXXXX258]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50730": {
+      "content": "[XXXXX413]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50731": {
+      "content": "[XXXXX1092]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50732": {
+      "content": "[XXXXX124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50733": {
+      "content": "[XXXXX308]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50734": {
+      "content": "[XXXXX1085]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50735": {
+      "content": "[XXXXX1170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50736": {
+      "content": "[XXXXX38]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50737": {
+      "content": "[XXXXX438]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50738": {
+      "content": "[XXXXX475]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50739": {
+      "content": "[XXXXX900]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50740": {
+      "content": "[XXXXX263]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50741": {
+      "content": "[XXXXX166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50742": {
+      "content": "[XXXXX698]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50743": {
+      "content": "[XXXXX1127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50744": {
+      "content": "[XXXXX1181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50745": {
+      "content": "[XXXXX763]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50746": {
+      "content": "[XXXXX627]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50747": {
+      "content": "[XXXXX250]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50748": {
+      "content": "[XXXXX757]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50749": {
+      "content": "[XXXXX142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50750": {
+      "content": "[XXXXX794]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50751": {
+      "content": "[XXXXX128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50752": {
+      "content": "[XXXXX35]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50753": {
+      "content": "[XXXXX482]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50754": {
+      "content": "[XXXXX834]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50755": {
+      "content": "[XXXXX679]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50756": {
+      "content": "[XXXXX839]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50757": {
+      "content": "[XXXXX138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50758": {
+      "content": "[XXXXX1066]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50759": {
+      "content": "[XXXXX116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50760": {
+      "content": "[XXXXX317]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50761": {
+      "content": "[XXXXX490]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50762": {
+      "content": "[XXXXX443]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50763": {
+      "content": "[XXXXX879]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50764": {
+      "content": "[XXXXX1101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50765": {
+      "content": "[XXXXX711]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50766": {
+      "content": "[XXXXX123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50767": {
+      "content": "[XXXXX1152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50768": {
+      "content": "[XXXXX692]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50769": {
+      "content": "[XXXXX555]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50770": {
+      "content": "[XXXXX266]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50771": {
+      "content": "[XXXXX0]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50772": {
+      "content": "[XXXXX332]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50773": {
+      "content": "[XXXXX497]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50774": {
+      "content": "[XXXXX904]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50775": {
+      "content": "[XXXXX1019]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50776": {
+      "content": "[XXXXX709]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50777": {
+      "content": "[XXXXX351]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50778": {
+      "content": "[XXXXX764]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50779": {
+      "content": "[XXXXX625]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50780": {
+      "content": "[XXXXX798]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50781": {
+      "content": "[XXXXX205]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50782": {
+      "content": "[XXXXX922]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50783": {
+      "content": "[XXXXX1075]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50784": {
+      "content": "[XXXXX8]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50785": {
+      "content": "[XXXXX422]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50786": {
+      "content": "[XXXXX638]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50787": {
+      "content": "[XXXXX98]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50788": {
+      "content": "[XXXXX814]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50789": {
+      "content": "[XXXXX1057]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50790": {
+      "content": "[XXXXX1070]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50791": {
+      "content": "[XXXXX411]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50792": {
+      "content": "[XXXXX768]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50793": {
+      "content": "[XXXXX1165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50794": {
+      "content": "[XXXXX888]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50795": {
+      "content": "[XXXXX636]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50796": {
+      "content": "[XXXXX1047]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50797": {
+      "content": "[XXXXX960]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50798": {
+      "content": "[XXXXX910]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50799": {
+      "content": "[XXXXX42]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50800": {
+      "content": "[XXXXX238]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50801": {
+      "content": "[XXXXX383]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50802": {
+      "content": "[XXXXX1032]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50803": {
+      "content": "[XXXXX577]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50804": {
+      "content": "[XXXXX268]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50805": {
+      "content": "[XXXXX179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50806": {
+      "content": "[XXXXX1076]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50807": {
+      "content": "[XXXXX1167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50808": {
+      "content": "[XXXXX1172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50809": {
+      "content": "[XXXXX665]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50810": {
+      "content": "[XXXXX126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50811": {
+      "content": "[XXXXX347]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50812": {
+      "content": "[XXXXX544]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50813": {
+      "content": "[XXXXX1026]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50814": {
+      "content": "[XXXXX159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50815": {
+      "content": "[XXXXX503]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50816": {
+      "content": "[XXXXX583]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50817": {
+      "content": "[XXXXX668]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50818": {
+      "content": "[XXXXX1115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50819": {
+      "content": "[XXXXX112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50820": {
+      "content": "[XXXXX154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50821": {
+      "content": "[XXXXX761]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50822": {
+      "content": "[XXXXX540]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50823": {
+      "content": "[XXXXX755]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50824": {
+      "content": "[XXXXX255]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50825": {
+      "content": "[XXXXX459]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50826": {
+      "content": "[XXXXX1090]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50827": {
+      "content": "[XXXXX689]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50828": {
+      "content": "[XXXXX589]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50829": {
+      "content": "[XXXXX122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50830": {
+      "content": "[XXXXX789]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50831": {
+      "content": "[XXXXX481]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50832": {
+      "content": "[XXXXX1044]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50833": {
+      "content": "[XXXXX274]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50834": {
+      "content": "[XXXXX957]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50835": {
+      "content": "[XXXXX1121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50836": {
+      "content": "[XXXXX464]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50837": {
+      "content": "[XXXXX495]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50838": {
+      "content": "[XXXXX1097]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50839": {
+      "content": "[XXXXX581]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50840": {
+      "content": "[XXXXX200]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50841": {
+      "content": "[XXXXX954]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50842": {
+      "content": "[XXXXX48]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50843": {
+      "content": "[XXXXX855]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50844": {
+      "content": "[XXXXX419]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50845": {
+      "content": "[XXXXX919]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50846": {
+      "content": "[XXXXX451]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50847": {
+      "content": "[XXXXX869]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50848": {
+      "content": "[XXXXX1082]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50849": {
+      "content": "[XXXXX1185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50850": {
+      "content": "[XXXXX859]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50851": {
+      "content": "[XXXXX1139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50852": {
+      "content": "[XXXXX1072]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50853": {
+      "content": "[XXXXX220]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50854": {
+      "content": "[XXXXX465]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50855": {
+      "content": "[XXXXX1105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50856": {
+      "content": "[XXXXX1093]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50857": {
+      "content": "[XXXXX953]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50858": {
+      "content": "[XXXXX1187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50859": {
+      "content": "[XXXXX311]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50860": {
+      "content": "[XXXXX403]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50861": {
+      "content": "[XXXXX684]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50862": {
+      "content": "[XXXXX426]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50863": {
+      "content": "[XXXXX68]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50864": {
+      "content": "[XXXXX277]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50865": {
+      "content": "[XXXXX437]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50866": {
+      "content": "[XXXXX896]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50867": {
+      "content": "[XXXXX899]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50868": {
+      "content": "[XXXXX878]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50869": {
+      "content": "[XXXXX1073]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50870": {
+      "content": "[XXXXX774]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50871": {
+      "content": "[XXXXX315]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50872": {
+      "content": "[XXXXX631]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50873": {
+      "content": "[XXXXX223]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50874": {
+      "content": "[XXXXX86]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50875": {
+      "content": "[XXXXX607]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50876": {
+      "content": "[XXXXX149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50877": {
+      "content": "[XXXXX566]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50878": {
+      "content": "[XXXXX740]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50879": {
+      "content": "[XXXXX265]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50880": {
+      "content": "[XXXXX399]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50881": {
+      "content": "[XXXXX1053]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50882": {
+      "content": "[XXXXX1077]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50883": {
+      "content": "[XXXXX336]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50884": {
+      "content": "[XXXXX734]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50885": {
+      "content": "[XXXXX289]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50886": {
+      "content": "[XXXXX221]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50887": {
+      "content": "[XXXXX580]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50888": {
+      "content": "[XXXXX406]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50889": {
+      "content": "[XXXXX854]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50890": {
+      "content": "[XXXXX673]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50891": {
+      "content": "[XXXXX1146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50892": {
+      "content": "[XXXXX29]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50893": {
+      "content": "[XXXXX496]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50894": {
+      "content": "[XXXXX241]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50895": {
+      "content": "[XXXXX929]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50896": {
+      "content": "[XXXXX169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50897": {
+      "content": "[XXXXX1153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50898": {
+      "content": "[XXXXX440]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50899": {
+      "content": "[XXXXX385]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50900": {
+      "content": "[XXXXX499]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50901": {
+      "content": "[XXXXX718]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50902": {
+      "content": "[XXXXX848]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50903": {
+      "content": "[XXXXX877]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50904": {
+      "content": "[XXXXX641]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50905": {
+      "content": "[XXXXX1137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50906": {
+      "content": "[XXXXX269]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50907": {
+      "content": "[XXXXX521]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50908": {
+      "content": "[XXXXX234]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50909": {
+      "content": "[XXXXX987]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50910": {
+      "content": "[XXXXX741]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50911": {
+      "content": "[XXXXX349]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50912": {
+      "content": "[XXXXX93]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50913": {
+      "content": "[XXXXX247]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50914": {
+      "content": "[XXXXX961]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50915": {
+      "content": "[XXXXX1120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50916": {
+      "content": "[XXXXX369]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50917": {
+      "content": "[XXXXX479]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50918": {
+      "content": "[XXXXX892]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50919": {
+      "content": "[XXXXX553]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50920": {
+      "content": "[XXXXX906]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50921": {
+      "content": "[XXXXX571]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50922": {
+      "content": "[XXXXX1046]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50923": {
+      "content": "[XXXXX206]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50924": {
+      "content": "[XXXXX488]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50925": {
+      "content": "[XXXXX445]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50926": {
+      "content": "[XXXXX524]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50927": {
+      "content": "[XXXXX228]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50928": {
+      "content": "[XXXXX998]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50929": {
+      "content": "[XXXXX675]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50930": {
+      "content": "[XXXXX732]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50931": {
+      "content": "[XXXXX1028]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50932": {
+      "content": "[XXXXX494]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50933": {
+      "content": "[XXXXX965]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50934": {
+      "content": "[XXXXX1021]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50935": {
+      "content": "[XXXXX726]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50936": {
+      "content": "[XXXXX168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50937": {
+      "content": "[XXXXX606]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50938": {
+      "content": "[XXXXX974]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50939": {
+      "content": "[XXXXX504]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50940": {
+      "content": "[XXXXX556]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50941": {
+      "content": "[XXXXX1159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50942": {
+      "content": "[XXXXX417]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50943": {
+      "content": "[XXXXX1175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50944": {
+      "content": "[XXXXX1142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50945": {
+      "content": "[XXXXX753]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50946": {
+      "content": "[XXXXX824]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50947": {
+      "content": "[XXXXX251]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50948": {
+      "content": "[XXXXX345]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50949": {
+      "content": "[XXXXX610]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50950": {
+      "content": "[XXXXX276]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50951": {
+      "content": "[XXXXX783]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50952": {
+      "content": "[XXXXX74]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50953": {
+      "content": "[XXXXX1050]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50954": {
+      "content": "[XXXXX71]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50955": {
+      "content": "[XXXXX360]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50956": {
+      "content": "[XXXXX512]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50957": {
+      "content": "[XXXXX341]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50958": {
+      "content": "[XXXXX375]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50959": {
+      "content": "[XXXXX637]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50960": {
+      "content": "[XXXXX1116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50961": {
+      "content": "[XXXXX9]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50962": {
+      "content": "[XXXXX738]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50963": {
+      "content": "[XXXXX856]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50964": {
+      "content": "[XXXXX979]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50965": {
+      "content": "[XXXXX825]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50966": {
+      "content": "[XXXXX852]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50967": {
+      "content": "[XXXXX215]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50968": {
+      "content": "[XXXXX91]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50969": {
+      "content": "[XXXXX257]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50970": {
+      "content": "[XXXXX325]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50971": {
+      "content": "[XXXXX368]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50972": {
+      "content": "[XXXXX1124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50973": {
+      "content": "[XXXXX188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50974": {
+      "content": "[XXXXX905]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50975": {
+      "content": "[XXXXX284]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50976": {
+      "content": "[XXXXX11]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50977": {
+      "content": "[XXXXX83]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50978": {
+      "content": "[XXXXX611]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50979": {
+      "content": "[XXXXX51]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50980": {
+      "content": "[XXXXX99]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50981": {
+      "content": "[XXXXX288]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50982": {
+      "content": "[XXXXX945]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50983": {
+      "content": "[XXXXX975]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50984": {
+      "content": "[XXXXX282]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50985": {
+      "content": "[XXXXX1068]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50986": {
+      "content": "[XXXXX1180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50987": {
+      "content": "[XXXXX574]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50988": {
+      "content": "[XXXXX305]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50989": {
+      "content": "[XXXXX565]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50990": {
+      "content": "[XXXXX865]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50991": {
+      "content": "[XXXXX1014]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50992": {
+      "content": "[XXXXX1138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50993": {
+      "content": "[XXXXX134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50994": {
+      "content": "[XXXXX321]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50995": {
+      "content": "[XXXXX752]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50996": {
+      "content": "[XXXXX108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50997": {
+      "content": "[XXXXX339]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50998": {
+      "content": "[XXXXX893]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50999": {
+      "content": "[XXXXX1177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51000": {
+      "content": "[XXXXX988]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51001": {
+      "content": "[XXXXX719]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51002": {
+      "content": "[XXXXX1059]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51003": {
+      "content": "[XXXXX421]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51004": {
+      "content": "[XXXXX670]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51005": {
+      "content": "[XXXXX949]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51006": {
+      "content": "[XXXXX14]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51007": {
+      "content": "[XXXXX1087]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51008": {
+      "content": "[XXXXX382]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51009": {
+      "content": "[XXXXX531]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51010": {
+      "content": "[XXXXX1079]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51011": {
+      "content": "[XXXXX1067]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51012": {
+      "content": "[XXXXX655]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51013": {
+      "content": "[XXXXX340]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51014": {
+      "content": "[XXXXX398]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51015": {
+      "content": "[XXXXX175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51016": {
+      "content": "[XXXXX232]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51017": {
+      "content": "[XXXXX244]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51018": {
+      "content": "[XXXXX568]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51019": {
+      "content": "[XXXXX1110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51020": {
+      "content": "[XXXXX191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51021": {
+      "content": "[XXXXX931]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51022": {
+      "content": "[XXXXX832]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51023": {
+      "content": "[XXXXX1030]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51024": {
+      "content": "[XXXXX144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51025": {
+      "content": "[XXXXX1102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51026": {
+      "content": "[XXXXX300]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51027": {
+      "content": "[XXXXX996]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51028": {
+      "content": "[XXXXX248]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51029": {
+      "content": "[XXXXX66]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51030": {
+      "content": "[XXXXX735]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51031": {
+      "content": "[XXXXX20]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51032": {
+      "content": "[XXXXX694]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51033": {
+      "content": "[XXXXX845]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51034": {
+      "content": "[XXXXX500]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51035": {
+      "content": "[XXXXX613]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51036": {
+      "content": "[XXXXX117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51037": {
+      "content": "[XXXXX886]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51038": {
+      "content": "[XXXXX261]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51039": {
+      "content": "[XXXXX567]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51040": {
+      "content": "[XXXXX541]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51041": {
+      "content": "[XXXXX529]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51042": {
+      "content": "[XXXXX699]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51043": {
+      "content": "[XXXXX715]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51044": {
+      "content": "[XXXXX1003]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51045": {
+      "content": "[XXXXX518]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51046": {
+      "content": "[XXXXX891]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51047": {
+      "content": "[XXXXX192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51048": {
+      "content": "[XXXXX53]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51049": {
+      "content": "[XXXXX428]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51050": {
+      "content": "[XXXXX183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51051": {
+      "content": "[XXXXX850]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51052": {
+      "content": "[XXXXX539]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51053": {
+      "content": "[XXXXX527]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51054": {
+      "content": "[XXXXX660]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51055": {
+      "content": "[XXXXX409]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51056": {
+      "content": "[XXXXX1122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51057": {
+      "content": "[XXXXX898]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51058": {
+      "content": "[XXXXX858]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51059": {
+      "content": "[XXXXX534]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51060": {
+      "content": "[XXXXX756]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51061": {
+      "content": "[XXXXX63]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51062": {
+      "content": "[XXXXX49]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51063": {
+      "content": "[XXXXX1106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51064": {
+      "content": "[XXXXX111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51065": {
+      "content": "[XXXXX955]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51066": {
+      "content": "[XXXXX309]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51067": {
+      "content": "[XXXXX538]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51068": {
+      "content": "[XXXXX823]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51069": {
+      "content": "[XXXXX867]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51070": {
+      "content": "[XXXXX587]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51071": {
+      "content": "[XXXXX243]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51072": {
+      "content": "[XXXXX677]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51073": {
+      "content": "[XXXXX1017]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51074": {
+      "content": "[XXXXX173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51075": {
+      "content": "[XXXXX682]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51076": {
+      "content": "[XXXXX1184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51077": {
+      "content": "[XXXXX1009]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51078": {
+      "content": "[XXXXX704]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51079": {
+      "content": "[XXXXX532]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51080": {
+      "content": "[XXXXX901]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51081": {
+      "content": "[XXXXX120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51082": {
+      "content": "[XXXXX388]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51083": {
+      "content": "[XXXXX405]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51084": {
+      "content": "[XXXXX788]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51085": {
+      "content": "[XXXXX728]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51086": {
+      "content": "[XXXXX425]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51087": {
+      "content": "[XXXXX883]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51088": {
+      "content": "[XXXXX837]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51089": {
+      "content": "[XXXXX350]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51090": {
+      "content": "[XXXXX716]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51091": {
+      "content": "[XXXXX579]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51092": {
+      "content": "[XXXXX909]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51093": {
+      "content": "[XXXXX884]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51094": {
+      "content": "[XXXXX1011]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51095": {
+      "content": "[XXXXX372]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51096": {
+      "content": "[XXXXX370]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51097": {
+      "content": "[XXXXX468]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51098": {
+      "content": "[XXXXX688]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51099": {
+      "content": "[XXXXX56]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51100": {
+      "content": "[XXXXX653]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51101": {
+      "content": "[XXXXX623]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51102": {
+      "content": "[XXXXX552]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51103": {
+      "content": "[XXXXX314]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51104": {
+      "content": "[XXXXX1018]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51105": {
+      "content": "[XXXXX1091]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51106": {
+      "content": "[XXXXX342]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51107": {
+      "content": "[XXXXX1065]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51108": {
+      "content": "[XXXXX1161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51109": {
+      "content": "[XXXXX959]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51110": {
+      "content": "[XXXXX1035]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51111": {
+      "content": "[XXXXX530]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51112": {
+      "content": "[XXXXX69]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51113": {
+      "content": "[XXXXX489]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51114": {
+      "content": "[XXXXX1]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51115": {
+      "content": "[XXXXX207]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51116": {
+      "content": "[XXXXX433]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51117": {
+      "content": "[XXXXX358]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51118": {
+      "content": "[XXXXX601]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51119": {
+      "content": "[XXXXX2]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51120": {
+      "content": "[XXXXX722]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51121": {
+      "content": "[XXXXX985]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51122": {
+      "content": "[XXXXX908]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51123": {
+      "content": "[XXXXX1024]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51124": {
+      "content": "[XXXXX1111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51125": {
+      "content": "[XXXXX1113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51126": {
+      "content": "[XXXXX678]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51127": {
+      "content": "[XXXXX19]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51128": {
+      "content": "[XXXXX1186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51129": {
+      "content": "[XXXXX808]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51130": {
+      "content": "[XXXXX493]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51131": {
+      "content": "[XXXXX1155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51132": {
+      "content": "[XXXXX217]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51133": {
+      "content": "[XXXXX616]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51134": {
+      "content": "[XXXXX835]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51135": {
+      "content": "[XXXXX994]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51136": {
+      "content": "[XXXXX484]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51137": {
+      "content": "[XXXXX362]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51138": {
+      "content": "[XXXXX582]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51139": {
+      "content": "[XXXXX1034]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51140": {
+      "content": "[XXXXX772]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51141": {
+      "content": "[XXXXX457]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51142": {
+      "content": "[XXXXX604]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51143": {
+      "content": "[XXXXX456]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51144": {
+      "content": "[XXXXX145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51145": {
+      "content": "[XXXXX476]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51146": {
+      "content": "[XXXXX218]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51147": {
+      "content": "[XXXXX199]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51148": {
+      "content": "[XXXXX364]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51149": {
+      "content": "[XXXXX302]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51150": {
+      "content": "[XXXXX881]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51151": {
+      "content": "[XXXXX1088]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51152": {
+      "content": "[XXXXX356]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51153": {
+      "content": "[XXXXX936]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51154": {
+      "content": "[XXXXX978]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51155": {
+      "content": "[XXXXX895]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51156": {
+      "content": "[XXXXX993]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51157": {
+      "content": "[XXXXX458]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51158": {
+      "content": "[XXXXX1002]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51159": {
+      "content": "[XXXXX1022]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51160": {
+      "content": "[XXXXX25]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51161": {
+      "content": "[XXXXX766]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51162": {
+      "content": "[XXXXX64]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51163": {
+      "content": "[XXXXX211]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51164": {
+      "content": "[XXXXX82]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51165": {
+      "content": "[XXXXX634]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51166": {
+      "content": "[XXXXX661]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51167": {
+      "content": "[XXXXX748]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51168": {
+      "content": "[XXXXX778]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51169": {
+      "content": "[XXXXX24]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51170": {
+      "content": "[XXXXX448]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51171": {
+      "content": "[XXXXX887]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51172": {
+      "content": "[XXXXX890]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51173": {
+      "content": "[XXXXX754]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51174": {
+      "content": "[XXXXX343]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51175": {
+      "content": "[XXXXX1069]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51176": {
+      "content": "[XXXXX294]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51177": {
+      "content": "[XXXXX295]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51178": {
+      "content": "[XXXXX197]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51179": {
+      "content": "[XXXXX210]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51180": {
+      "content": "[XXXXX630]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51181": {
+      "content": "[XXXXX707]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51182": {
+      "content": "[XXXXX864]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51183": {
+      "content": "[XXXXX391]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51184": {
+      "content": "[XXXXX338]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51185": {
+      "content": "[XXXXX800]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51186": {
+      "content": "[XXXXX841]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51187": {
+      "content": "[XXXXX967]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51188": {
+      "content": "[XXXXX793]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51189": {
+      "content": "[XXXXX916]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51190": {
+      "content": "[XXXXX603]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51191": {
+      "content": "[XXXXX270]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51192": {
+      "content": "[XXXXX105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51193": {
+      "content": "[XXXXX1016]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51194": {
+      "content": "[XXXXX804]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51195": {
+      "content": "[XXXXX264]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51196": {
+      "content": "[XXXXX155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51197": {
+      "content": "[XXXXX1190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51198": {
+      "content": "[XXXXX813]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51199": {
+      "content": "[XXXXX546]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "keep_accents": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}
diff --git a/checkpoint-7500/trainer_state.json b/checkpoint-7500/trainer_state.json
new file mode 100644
index 0000000..c195f05
--- /dev/null
+++ b/checkpoint-7500/trainer_state.json
@@ -0,0 +1,15199 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 6.2137531068765535,
+  "eval_steps": 500,
+  "global_step": 7500,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "entropy": 7.218191003799438,
+      "epoch": 0.004142502071251036,
+      "grad_norm": 1.265625,
+      "learning_rate": 2e-06,
+      "loss": 6.8898,
+      "mean_token_accuracy": 0.08805170804262161,
+      "num_tokens": 9149.0,
+      "step": 5
+    },
+    {
+      "entropy": 7.191673707962036,
+      "epoch": 0.008285004142502071,
+      "grad_norm": 1.5078125,
+      "learning_rate": 4.5e-06,
+      "loss": 6.7268,
+      "mean_token_accuracy": 0.09304728880524635,
+      "num_tokens": 16800.0,
+      "step": 10
+    },
+    {
+      "entropy": 7.134524202346801,
+      "epoch": 0.012427506213753107,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7e-06,
+      "loss": 6.8905,
+      "mean_token_accuracy": 0.0921505056321621,
+      "num_tokens": 26617.0,
+      "step": 15
+    },
+    {
+      "entropy": 7.115550088882446,
+      "epoch": 0.016570008285004142,
+      "grad_norm": 1.25,
+      "learning_rate": 9.5e-06,
+      "loss": 6.8021,
+      "mean_token_accuracy": 0.09268744736909866,
+      "num_tokens": 35855.0,
+      "step": 20
+    },
+    {
+      "entropy": 7.12396879196167,
+      "epoch": 0.020712510356255178,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.2e-05,
+      "loss": 7.0094,
+      "mean_token_accuracy": 0.08752714470028877,
+      "num_tokens": 45644.0,
+      "step": 25
+    },
+    {
+      "entropy": 7.054446792602539,
+      "epoch": 0.024855012427506214,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.4500000000000002e-05,
+      "loss": 6.8922,
+      "mean_token_accuracy": 0.09398627206683159,
+      "num_tokens": 54641.0,
+      "step": 30
+    },
+    {
+      "entropy": 7.012255907058716,
+      "epoch": 0.02899751449875725,
+      "grad_norm": 1.0234375,
+      "learning_rate": 1.7000000000000003e-05,
+      "loss": 6.7519,
+      "mean_token_accuracy": 0.08958807587623596,
+      "num_tokens": 63924.0,
+      "step": 35
+    },
+    {
+      "entropy": 7.068031549453735,
+      "epoch": 0.033140016570008285,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.95e-05,
+      "loss": 6.89,
+      "mean_token_accuracy": 0.09437783882021904,
+      "num_tokens": 73452.0,
+      "step": 40
+    },
+    {
+      "entropy": 7.06072301864624,
+      "epoch": 0.037282518641259324,
+      "grad_norm": 1.0234375,
+      "learning_rate": 2.2e-05,
+      "loss": 6.9455,
+      "mean_token_accuracy": 0.0851291574537754,
+      "num_tokens": 82731.0,
+      "step": 45
+    },
+    {
+      "entropy": 7.090083169937134,
+      "epoch": 0.041425020712510356,
+      "grad_norm": 1.1015625,
+      "learning_rate": 2.4500000000000003e-05,
+      "loss": 6.7734,
+      "mean_token_accuracy": 0.09048294499516488,
+      "num_tokens": 92626.0,
+      "step": 50
+    },
+    {
+      "entropy": 7.149203157424926,
+      "epoch": 0.045567522783761395,
+      "grad_norm": 1.21875,
+      "learning_rate": 2.7e-05,
+      "loss": 6.9497,
+      "mean_token_accuracy": 0.08217904865741729,
+      "num_tokens": 101380.0,
+      "step": 55
+    },
+    {
+      "entropy": 7.119951963424683,
+      "epoch": 0.04971002485501243,
+      "grad_norm": 1.046875,
+      "learning_rate": 2.95e-05,
+      "loss": 6.8604,
+      "mean_token_accuracy": 0.09202293381094932,
+      "num_tokens": 109895.0,
+      "step": 60
+    },
+    {
+      "entropy": 7.2014998435974125,
+      "epoch": 0.053852526926263466,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.2e-05,
+      "loss": 6.8449,
+      "mean_token_accuracy": 0.09257669150829315,
+      "num_tokens": 119203.0,
+      "step": 65
+    },
+    {
+      "entropy": 7.1111664295196535,
+      "epoch": 0.0579950289975145,
+      "grad_norm": 1.1484375,
+      "learning_rate": 3.4500000000000005e-05,
+      "loss": 6.7903,
+      "mean_token_accuracy": 0.09657297283411026,
+      "num_tokens": 127572.0,
+      "step": 70
+    },
+    {
+      "entropy": 7.04930944442749,
+      "epoch": 0.06213753106876554,
+      "grad_norm": 1.03125,
+      "learning_rate": 3.7e-05,
+      "loss": 6.8304,
+      "mean_token_accuracy": 0.09063600301742554,
+      "num_tokens": 137161.0,
+      "step": 75
+    },
+    {
+      "entropy": 7.044711875915527,
+      "epoch": 0.06628003314001657,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.95e-05,
+      "loss": 6.9451,
+      "mean_token_accuracy": 0.08874713778495788,
+      "num_tokens": 145991.0,
+      "step": 80
+    },
+    {
+      "entropy": 7.130092525482178,
+      "epoch": 0.07042253521126761,
+      "grad_norm": 1.0546875,
+      "learning_rate": 4.2000000000000004e-05,
+      "loss": 6.8464,
+      "mean_token_accuracy": 0.08955071866512299,
+      "num_tokens": 154927.0,
+      "step": 85
+    },
+    {
+      "entropy": 7.090402746200562,
+      "epoch": 0.07456503728251865,
+      "grad_norm": 1.34375,
+      "learning_rate": 4.45e-05,
+      "loss": 6.7595,
+      "mean_token_accuracy": 0.09832768961787224,
+      "num_tokens": 163234.0,
+      "step": 90
+    },
+    {
+      "entropy": 7.08957576751709,
+      "epoch": 0.07870753935376967,
+      "grad_norm": 1.015625,
+      "learning_rate": 4.7000000000000004e-05,
+      "loss": 6.7163,
+      "mean_token_accuracy": 0.09379880875349045,
+      "num_tokens": 171554.0,
+      "step": 95
+    },
+    {
+      "entropy": 7.044517278671265,
+      "epoch": 0.08285004142502071,
+      "grad_norm": 1.1328125,
+      "learning_rate": 4.9500000000000004e-05,
+      "loss": 6.8173,
+      "mean_token_accuracy": 0.0955286517739296,
+      "num_tokens": 180171.0,
+      "step": 100
+    },
+    {
+      "entropy": 7.050950908660889,
+      "epoch": 0.08699254349627175,
+      "grad_norm": 1.0859375,
+      "learning_rate": 5.2e-05,
+      "loss": 6.761,
+      "mean_token_accuracy": 0.09741089940071106,
+      "num_tokens": 189216.0,
+      "step": 105
+    },
+    {
+      "entropy": 7.173562717437744,
+      "epoch": 0.09113504556752279,
+      "grad_norm": 1.015625,
+      "learning_rate": 5.45e-05,
+      "loss": 6.9519,
+      "mean_token_accuracy": 0.08675800338387489,
+      "num_tokens": 200022.0,
+      "step": 110
+    },
+    {
+      "entropy": 7.183744478225708,
+      "epoch": 0.09527754763877382,
+      "grad_norm": 1.2265625,
+      "learning_rate": 5.7e-05,
+      "loss": 6.8642,
+      "mean_token_accuracy": 0.09210581332445145,
+      "num_tokens": 208686.0,
+      "step": 115
+    },
+    {
+      "entropy": 7.121539115905762,
+      "epoch": 0.09942004971002485,
+      "grad_norm": 1.1875,
+      "learning_rate": 5.9499999999999996e-05,
+      "loss": 6.8829,
+      "mean_token_accuracy": 0.09462191313505172,
+      "num_tokens": 218266.0,
+      "step": 120
+    },
+    {
+      "entropy": 7.006736946105957,
+      "epoch": 0.1035625517812759,
+      "grad_norm": 1.046875,
+      "learning_rate": 6.2e-05,
+      "loss": 6.7523,
+      "mean_token_accuracy": 0.08771666437387467,
+      "num_tokens": 227658.0,
+      "step": 125
+    },
+    {
+      "entropy": 7.040027761459351,
+      "epoch": 0.10770505385252693,
+      "grad_norm": 1.1015625,
+      "learning_rate": 6.450000000000001e-05,
+      "loss": 6.7014,
+      "mean_token_accuracy": 0.1004502885043621,
+      "num_tokens": 236301.0,
+      "step": 130
+    },
+    {
+      "entropy": 7.106470441818237,
+      "epoch": 0.11184755592377796,
+      "grad_norm": 1.1171875,
+      "learning_rate": 6.7e-05,
+      "loss": 6.8424,
+      "mean_token_accuracy": 0.08812138065695763,
+      "num_tokens": 246355.0,
+      "step": 135
+    },
+    {
+      "entropy": 7.174679756164551,
+      "epoch": 0.115990057995029,
+      "grad_norm": 1.15625,
+      "learning_rate": 6.950000000000001e-05,
+      "loss": 6.8174,
+      "mean_token_accuracy": 0.0924198254942894,
+      "num_tokens": 256023.0,
+      "step": 140
+    },
+    {
+      "entropy": 7.10174069404602,
+      "epoch": 0.12013256006628004,
+      "grad_norm": 0.9921875,
+      "learning_rate": 7.2e-05,
+      "loss": 6.9036,
+      "mean_token_accuracy": 0.08638993799686431,
+      "num_tokens": 266893.0,
+      "step": 145
+    },
+    {
+      "entropy": 7.019921684265137,
+      "epoch": 0.12427506213753108,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7.45e-05,
+      "loss": 6.6606,
+      "mean_token_accuracy": 0.08872481286525727,
+      "num_tokens": 276075.0,
+      "step": 150
+    },
+    {
+      "entropy": 7.042754888534546,
+      "epoch": 0.12841756420878211,
+      "grad_norm": 1.25,
+      "learning_rate": 7.7e-05,
+      "loss": 6.7532,
+      "mean_token_accuracy": 0.09296932220458984,
+      "num_tokens": 285529.0,
+      "step": 155
+    },
+    {
+      "entropy": 7.064399909973145,
+      "epoch": 0.13256006628003314,
+      "grad_norm": 1.15625,
+      "learning_rate": 7.950000000000001e-05,
+      "loss": 6.762,
+      "mean_token_accuracy": 0.09406789913773536,
+      "num_tokens": 294403.0,
+      "step": 160
+    },
+    {
+      "entropy": 7.152362823486328,
+      "epoch": 0.13670256835128416,
+      "grad_norm": 1.28125,
+      "learning_rate": 8.2e-05,
+      "loss": 6.8553,
+      "mean_token_accuracy": 0.09358441680669785,
+      "num_tokens": 303507.0,
+      "step": 165
+    },
+    {
+      "entropy": 7.071487474441528,
+      "epoch": 0.14084507042253522,
+      "grad_norm": 1.21875,
+      "learning_rate": 8.450000000000001e-05,
+      "loss": 6.7534,
+      "mean_token_accuracy": 0.09645206108689308,
+      "num_tokens": 312393.0,
+      "step": 170
+    },
+    {
+      "entropy": 6.956210470199585,
+      "epoch": 0.14498757249378624,
+      "grad_norm": 1.0859375,
+      "learning_rate": 8.7e-05,
+      "loss": 6.7226,
+      "mean_token_accuracy": 0.09953253641724587,
+      "num_tokens": 321309.0,
+      "step": 175
+    },
+    {
+      "entropy": 7.2200812816619875,
+      "epoch": 0.1491300745650373,
+      "grad_norm": 1.1328125,
+      "learning_rate": 8.95e-05,
+      "loss": 6.7879,
+      "mean_token_accuracy": 0.09582221284508705,
+      "num_tokens": 330217.0,
+      "step": 180
+    },
+    {
+      "entropy": 6.964824962615967,
+      "epoch": 0.15327257663628832,
+      "grad_norm": 1.2109375,
+      "learning_rate": 9.2e-05,
+      "loss": 6.8296,
+      "mean_token_accuracy": 0.09584516286849976,
+      "num_tokens": 339587.0,
+      "step": 185
+    },
+    {
+      "entropy": 7.104565525054932,
+      "epoch": 0.15741507870753935,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.45e-05,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.09563353508710862,
+      "num_tokens": 349367.0,
+      "step": 190
+    },
+    {
+      "entropy": 6.90956711769104,
+      "epoch": 0.1615575807787904,
+      "grad_norm": 1.1953125,
+      "learning_rate": 9.7e-05,
+      "loss": 6.6535,
+      "mean_token_accuracy": 0.09533214569091797,
+      "num_tokens": 358272.0,
+      "step": 195
+    },
+    {
+      "entropy": 7.184430170059204,
+      "epoch": 0.16570008285004142,
+      "grad_norm": 1.1875,
+      "learning_rate": 9.95e-05,
+      "loss": 6.8847,
+      "mean_token_accuracy": 0.09342379868030548,
+      "num_tokens": 367709.0,
+      "step": 200
+    },
+    {
+      "entropy": 7.108258152008057,
+      "epoch": 0.16984258492129245,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000102,
+      "loss": 6.7363,
+      "mean_token_accuracy": 0.09321728497743606,
+      "num_tokens": 376180.0,
+      "step": 205
+    },
+    {
+      "entropy": 7.143853282928466,
+      "epoch": 0.1739850869925435,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00010449999999999999,
+      "loss": 6.8927,
+      "mean_token_accuracy": 0.08639989122748375,
+      "num_tokens": 385636.0,
+      "step": 210
+    },
+    {
+      "entropy": 7.005528688430786,
+      "epoch": 0.17812758906379453,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000107,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.10387283116579056,
+      "num_tokens": 394486.0,
+      "step": 215
+    },
+    {
+      "entropy": 7.066776275634766,
+      "epoch": 0.18227009113504558,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0001095,
+      "loss": 6.7286,
+      "mean_token_accuracy": 0.09739693626761436,
+      "num_tokens": 403765.0,
+      "step": 220
+    },
+    {
+      "entropy": 6.9391695022583,
+      "epoch": 0.1864125932062966,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000112,
+      "loss": 6.7198,
+      "mean_token_accuracy": 0.09883175939321517,
+      "num_tokens": 412988.0,
+      "step": 225
+    },
+    {
+      "entropy": 7.029045248031617,
+      "epoch": 0.19055509527754763,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0001145,
+      "loss": 6.6219,
+      "mean_token_accuracy": 0.09850638806819915,
+      "num_tokens": 422096.0,
+      "step": 230
+    },
+    {
+      "entropy": 7.055552911758423,
+      "epoch": 0.19469759734879868,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011700000000000001,
+      "loss": 6.7907,
+      "mean_token_accuracy": 0.08912368193268776,
+      "num_tokens": 431333.0,
+      "step": 235
+    },
+    {
+      "entropy": 7.076433277130127,
+      "epoch": 0.1988400994200497,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00011949999999999999,
+      "loss": 6.825,
+      "mean_token_accuracy": 0.0998022735118866,
+      "num_tokens": 440382.0,
+      "step": 240
+    },
+    {
+      "entropy": 7.098494958877564,
+      "epoch": 0.20298260149130073,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000122,
+      "loss": 6.7184,
+      "mean_token_accuracy": 0.1035430908203125,
+      "num_tokens": 448469.0,
+      "step": 245
+    },
+    {
+      "entropy": 7.065437746047974,
+      "epoch": 0.2071251035625518,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001245,
+      "loss": 6.7562,
+      "mean_token_accuracy": 0.0973759837448597,
+      "num_tokens": 457356.0,
+      "step": 250
+    },
+    {
+      "entropy": 7.103154182434082,
+      "epoch": 0.2112676056338028,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000127,
+      "loss": 6.7821,
+      "mean_token_accuracy": 0.09721289053559304,
+      "num_tokens": 465928.0,
+      "step": 255
+    },
+    {
+      "entropy": 6.99681601524353,
+      "epoch": 0.21541010770505387,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0001295,
+      "loss": 6.6931,
+      "mean_token_accuracy": 0.09931288808584213,
+      "num_tokens": 475269.0,
+      "step": 260
+    },
+    {
+      "entropy": 6.960800266265869,
+      "epoch": 0.2195526097763049,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000132,
+      "loss": 6.679,
+      "mean_token_accuracy": 0.09512786641716957,
+      "num_tokens": 485450.0,
+      "step": 265
+    },
+    {
+      "entropy": 7.0514568328857425,
+      "epoch": 0.22369511184755592,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00013450000000000002,
+      "loss": 6.7347,
+      "mean_token_accuracy": 0.10228226557374001,
+      "num_tokens": 494029.0,
+      "step": 270
+    },
+    {
+      "entropy": 6.9516912460327145,
+      "epoch": 0.22783761391880697,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013700000000000002,
+      "loss": 6.676,
+      "mean_token_accuracy": 0.10202871784567832,
+      "num_tokens": 503253.0,
+      "step": 275
+    },
+    {
+      "entropy": 7.018160057067871,
+      "epoch": 0.231980115990058,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0001395,
+      "loss": 6.6685,
+      "mean_token_accuracy": 0.09529435187578202,
+      "num_tokens": 512857.0,
+      "step": 280
+    },
+    {
+      "entropy": 6.9714985370635985,
+      "epoch": 0.23612261806130902,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00014199999999999998,
+      "loss": 6.7719,
+      "mean_token_accuracy": 0.09288227260112762,
+      "num_tokens": 522319.0,
+      "step": 285
+    },
+    {
+      "entropy": 7.113205528259277,
+      "epoch": 0.24026512013256007,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0001445,
+      "loss": 6.7224,
+      "mean_token_accuracy": 0.09471780881285667,
+      "num_tokens": 531469.0,
+      "step": 290
+    },
+    {
+      "entropy": 6.976934480667114,
+      "epoch": 0.2444076222038111,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000147,
+      "loss": 6.756,
+      "mean_token_accuracy": 0.09480062946677208,
+      "num_tokens": 540470.0,
+      "step": 295
+    },
+    {
+      "entropy": 7.011937475204467,
+      "epoch": 0.24855012427506215,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0001495,
+      "loss": 6.7584,
+      "mean_token_accuracy": 0.09700122326612473,
+      "num_tokens": 550317.0,
+      "step": 300
+    },
+    {
+      "entropy": 7.0365160465240475,
+      "epoch": 0.2526926263463132,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000152,
+      "loss": 6.7067,
+      "mean_token_accuracy": 0.09434132501482964,
+      "num_tokens": 559409.0,
+      "step": 305
+    },
+    {
+      "entropy": 6.928857326507568,
+      "epoch": 0.25683512841756423,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00015450000000000001,
+      "loss": 6.768,
+      "mean_token_accuracy": 0.10764710158109665,
+      "num_tokens": 568726.0,
+      "step": 310
+    },
+    {
+      "entropy": 7.103991413116455,
+      "epoch": 0.2609776304888152,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000157,
+      "loss": 6.7179,
+      "mean_token_accuracy": 0.0976541943848133,
+      "num_tokens": 577926.0,
+      "step": 315
+    },
+    {
+      "entropy": 7.047203779220581,
+      "epoch": 0.2651201325600663,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001595,
+      "loss": 6.7448,
+      "mean_token_accuracy": 0.09809661954641342,
+      "num_tokens": 586695.0,
+      "step": 320
+    },
+    {
+      "entropy": 7.039609956741333,
+      "epoch": 0.26926263463131733,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000162,
+      "loss": 6.771,
+      "mean_token_accuracy": 0.0949723981320858,
+      "num_tokens": 596250.0,
+      "step": 325
+    },
+    {
+      "entropy": 7.063632202148438,
+      "epoch": 0.27340513670256833,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00016450000000000001,
+      "loss": 6.8221,
+      "mean_token_accuracy": 0.09051206335425377,
+      "num_tokens": 605761.0,
+      "step": 330
+    },
+    {
+      "entropy": 7.019326877593994,
+      "epoch": 0.2775476387738194,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00016700000000000002,
+      "loss": 6.7365,
+      "mean_token_accuracy": 0.09872144013643265,
+      "num_tokens": 614313.0,
+      "step": 335
+    },
+    {
+      "entropy": 7.037422132492066,
+      "epoch": 0.28169014084507044,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00016950000000000003,
+      "loss": 6.7692,
+      "mean_token_accuracy": 0.09455474764108658,
+      "num_tokens": 624470.0,
+      "step": 340
+    },
+    {
+      "entropy": 7.039082098007202,
+      "epoch": 0.28583264291632143,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00017199999999999998,
+      "loss": 6.6843,
+      "mean_token_accuracy": 0.09269843101501465,
+      "num_tokens": 633458.0,
+      "step": 345
+    },
+    {
+      "entropy": 6.942268037796021,
+      "epoch": 0.2899751449875725,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00017449999999999999,
+      "loss": 6.6939,
+      "mean_token_accuracy": 0.09877684414386749,
+      "num_tokens": 643251.0,
+      "step": 350
+    },
+    {
+      "entropy": 6.99584732055664,
+      "epoch": 0.29411764705882354,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000177,
+      "loss": 6.7635,
+      "mean_token_accuracy": 0.09713540598750114,
+      "num_tokens": 652005.0,
+      "step": 355
+    },
+    {
+      "entropy": 7.006586170196533,
+      "epoch": 0.2982601491300746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0001795,
+      "loss": 6.6575,
+      "mean_token_accuracy": 0.10120807588100433,
+      "num_tokens": 661003.0,
+      "step": 360
+    },
+    {
+      "entropy": 6.874996137619019,
+      "epoch": 0.3024026512013256,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000182,
+      "loss": 6.6294,
+      "mean_token_accuracy": 0.09844254851341247,
+      "num_tokens": 670221.0,
+      "step": 365
+    },
+    {
+      "entropy": 7.155635738372803,
+      "epoch": 0.30654515327257664,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001845,
+      "loss": 6.9236,
+      "mean_token_accuracy": 0.0882349319756031,
+      "num_tokens": 680756.0,
+      "step": 370
+    },
+    {
+      "entropy": 6.94540753364563,
+      "epoch": 0.3106876553438277,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000187,
+      "loss": 6.6157,
+      "mean_token_accuracy": 0.10289054960012436,
+      "num_tokens": 689641.0,
+      "step": 375
+    },
+    {
+      "entropy": 6.87992377281189,
+      "epoch": 0.3148301574150787,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001895,
+      "loss": 6.5696,
+      "mean_token_accuracy": 0.09839320331811904,
+      "num_tokens": 698209.0,
+      "step": 380
+    },
+    {
+      "entropy": 6.823869276046753,
+      "epoch": 0.31897265948632975,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000192,
+      "loss": 6.5736,
+      "mean_token_accuracy": 0.10355777889490128,
+      "num_tokens": 706712.0,
+      "step": 385
+    },
+    {
+      "entropy": 7.037634468078613,
+      "epoch": 0.3231151615575808,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0001945,
+      "loss": 6.8017,
+      "mean_token_accuracy": 0.09728012606501579,
+      "num_tokens": 716087.0,
+      "step": 390
+    },
+    {
+      "entropy": 6.911249494552612,
+      "epoch": 0.3272576636288318,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00019700000000000002,
+      "loss": 6.6465,
+      "mean_token_accuracy": 0.09347675815224647,
+      "num_tokens": 725913.0,
+      "step": 395
+    },
+    {
+      "entropy": 6.944440317153931,
+      "epoch": 0.33140016570008285,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019950000000000002,
+      "loss": 6.7201,
+      "mean_token_accuracy": 0.10362306237220764,
+      "num_tokens": 735020.0,
+      "step": 400
+    },
+    {
+      "entropy": 6.985636854171753,
+      "epoch": 0.3355426677713339,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000202,
+      "loss": 6.6216,
+      "mean_token_accuracy": 0.09469136893749237,
+      "num_tokens": 744299.0,
+      "step": 405
+    },
+    {
+      "entropy": 6.883630275726318,
+      "epoch": 0.3396851698425849,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00020449999999999998,
+      "loss": 6.6099,
+      "mean_token_accuracy": 0.09694516137242318,
+      "num_tokens": 753231.0,
+      "step": 410
+    },
+    {
+      "entropy": 6.825357389450073,
+      "epoch": 0.34382767191383595,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000207,
+      "loss": 6.6717,
+      "mean_token_accuracy": 0.10230854973196983,
+      "num_tokens": 763043.0,
+      "step": 415
+    },
+    {
+      "entropy": 7.016851997375488,
+      "epoch": 0.347970173985087,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0002095,
+      "loss": 6.6905,
+      "mean_token_accuracy": 0.09913048222661018,
+      "num_tokens": 771977.0,
+      "step": 420
+    },
+    {
+      "entropy": 6.820244407653808,
+      "epoch": 0.352112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000212,
+      "loss": 6.6243,
+      "mean_token_accuracy": 0.1011092983186245,
+      "num_tokens": 780285.0,
+      "step": 425
+    },
+    {
+      "entropy": 6.956075525283813,
+      "epoch": 0.35625517812758906,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002145,
+      "loss": 6.6593,
+      "mean_token_accuracy": 0.09649045094847679,
+      "num_tokens": 789980.0,
+      "step": 430
+    },
+    {
+      "entropy": 6.984846019744873,
+      "epoch": 0.3603976801988401,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021700000000000002,
+      "loss": 6.6275,
+      "mean_token_accuracy": 0.10474459528923034,
+      "num_tokens": 798700.0,
+      "step": 435
+    },
+    {
+      "entropy": 6.767291498184204,
+      "epoch": 0.36454018227009116,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002195,
+      "loss": 6.7208,
+      "mean_token_accuracy": 0.09600067660212516,
+      "num_tokens": 808758.0,
+      "step": 440
+    },
+    {
+      "entropy": 7.046369791030884,
+      "epoch": 0.36868268434134216,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000222,
+      "loss": 6.6666,
+      "mean_token_accuracy": 0.10458802133798599,
+      "num_tokens": 817692.0,
+      "step": 445
+    },
+    {
+      "entropy": 6.95425066947937,
+      "epoch": 0.3728251864125932,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002245,
+      "loss": 6.7146,
+      "mean_token_accuracy": 0.10474570766091347,
+      "num_tokens": 827052.0,
+      "step": 450
+    },
+    {
+      "entropy": 6.895345544815063,
+      "epoch": 0.37696768848384427,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00022700000000000002,
+      "loss": 6.7139,
+      "mean_token_accuracy": 0.1091882586479187,
+      "num_tokens": 836442.0,
+      "step": 455
+    },
+    {
+      "entropy": 6.922871923446655,
+      "epoch": 0.38111019055509526,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00022950000000000002,
+      "loss": 6.5775,
+      "mean_token_accuracy": 0.10118989571928978,
+      "num_tokens": 846441.0,
+      "step": 460
+    },
+    {
+      "entropy": 6.8815388679504395,
+      "epoch": 0.3852526926263463,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00023200000000000003,
+      "loss": 6.6215,
+      "mean_token_accuracy": 0.10475475937128068,
+      "num_tokens": 856108.0,
+      "step": 465
+    },
+    {
+      "entropy": 6.848587274551392,
+      "epoch": 0.38939519469759737,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00023449999999999998,
+      "loss": 6.5833,
+      "mean_token_accuracy": 0.10137399956583977,
+      "num_tokens": 865788.0,
+      "step": 470
+    },
+    {
+      "entropy": 6.886804008483887,
+      "epoch": 0.39353769676884837,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000237,
+      "loss": 6.6302,
+      "mean_token_accuracy": 0.09514767676591873,
+      "num_tokens": 874833.0,
+      "step": 475
+    },
+    {
+      "entropy": 6.751422643661499,
+      "epoch": 0.3976801988400994,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002395,
+      "loss": 6.5997,
+      "mean_token_accuracy": 0.10276172533631325,
+      "num_tokens": 883685.0,
+      "step": 480
+    },
+    {
+      "entropy": 6.881311464309692,
+      "epoch": 0.40182270091135047,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000242,
+      "loss": 6.6001,
+      "mean_token_accuracy": 0.09796027019619942,
+      "num_tokens": 893908.0,
+      "step": 485
+    },
+    {
+      "entropy": 6.934821891784668,
+      "epoch": 0.40596520298260147,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002445,
+      "loss": 6.7142,
+      "mean_token_accuracy": 0.09827135354280472,
+      "num_tokens": 903081.0,
+      "step": 490
+    },
+    {
+      "entropy": 6.7868632793426515,
+      "epoch": 0.4101077050538525,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000247,
+      "loss": 6.5522,
+      "mean_token_accuracy": 0.10336750745773315,
+      "num_tokens": 912515.0,
+      "step": 495
+    },
+    {
+      "entropy": 6.886235475540161,
+      "epoch": 0.4142502071251036,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002495,
+      "loss": 6.5797,
+      "mean_token_accuracy": 0.1070313923060894,
+      "num_tokens": 921056.0,
+      "step": 500
+    },
+    {
+      "epoch": 0.4142502071251036,
+      "eval_entropy": 6.836038604728194,
+      "eval_loss": 6.684774875640869,
+      "eval_mean_token_accuracy": 0.10272799217021034,
+      "eval_num_tokens": 921056.0,
+      "eval_runtime": 2.7891,
+      "eval_samples_per_second": 1343.421,
+      "eval_steps_per_second": 168.152,
+      "step": 500
+    },
+    {
+      "entropy": 6.7657403469085695,
+      "epoch": 0.4183927091963546,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000252,
+      "loss": 6.5317,
+      "mean_token_accuracy": 0.10417452603578567,
+      "num_tokens": 931112.0,
+      "step": 505
+    },
+    {
+      "entropy": 6.821895503997803,
+      "epoch": 0.4225352112676056,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0002545,
+      "loss": 6.6605,
+      "mean_token_accuracy": 0.0978618748486042,
+      "num_tokens": 941120.0,
+      "step": 510
+    },
+    {
+      "entropy": 6.886211729049682,
+      "epoch": 0.4266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000257,
+      "loss": 6.6044,
+      "mean_token_accuracy": 0.09737976416945457,
+      "num_tokens": 950041.0,
+      "step": 515
+    },
+    {
+      "entropy": 6.879851579666138,
+      "epoch": 0.43082021541010773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002595,
+      "loss": 6.5907,
+      "mean_token_accuracy": 0.10606569275259972,
+      "num_tokens": 958608.0,
+      "step": 520
+    },
+    {
+      "entropy": 6.886484861373901,
+      "epoch": 0.43496271748135873,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.000262,
+      "loss": 6.7158,
+      "mean_token_accuracy": 0.09990910813212395,
+      "num_tokens": 966901.0,
+      "step": 525
+    },
+    {
+      "entropy": 6.767313003540039,
+      "epoch": 0.4391052195526098,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026450000000000003,
+      "loss": 6.5504,
+      "mean_token_accuracy": 0.10768762230873108,
+      "num_tokens": 976198.0,
+      "step": 530
+    },
+    {
+      "entropy": 6.892781782150268,
+      "epoch": 0.44324772162386084,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026700000000000004,
+      "loss": 6.624,
+      "mean_token_accuracy": 0.09861580505967141,
+      "num_tokens": 985248.0,
+      "step": 535
+    },
+    {
+      "entropy": 6.772344255447388,
+      "epoch": 0.44739022369511183,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00026950000000000005,
+      "loss": 6.5014,
+      "mean_token_accuracy": 0.1071978710591793,
+      "num_tokens": 993289.0,
+      "step": 540
+    },
+    {
+      "entropy": 6.820696449279785,
+      "epoch": 0.4515327257663629,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027200000000000005,
+      "loss": 6.5909,
+      "mean_token_accuracy": 0.10533165782690049,
+      "num_tokens": 1001784.0,
+      "step": 545
+    },
+    {
+      "entropy": 6.935409688949585,
+      "epoch": 0.45567522783761394,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002745,
+      "loss": 6.5627,
+      "mean_token_accuracy": 0.10804210156202317,
+      "num_tokens": 1010445.0,
+      "step": 550
+    },
+    {
+      "entropy": 6.745790100097656,
+      "epoch": 0.45981772990886494,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000277,
+      "loss": 6.6184,
+      "mean_token_accuracy": 0.10709234476089477,
+      "num_tokens": 1019084.0,
+      "step": 555
+    },
+    {
+      "entropy": 6.7490733623504635,
+      "epoch": 0.463960231980116,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002795,
+      "loss": 6.5249,
+      "mean_token_accuracy": 0.10461713373661041,
+      "num_tokens": 1027263.0,
+      "step": 560
+    },
+    {
+      "entropy": 6.876884937286377,
+      "epoch": 0.46810273405136704,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00028199999999999997,
+      "loss": 6.6233,
+      "mean_token_accuracy": 0.09752989709377288,
+      "num_tokens": 1036275.0,
+      "step": 565
+    },
+    {
+      "entropy": 6.765736055374146,
+      "epoch": 0.47224523612261804,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002845,
+      "loss": 6.7015,
+      "mean_token_accuracy": 0.09858408868312836,
+      "num_tokens": 1045208.0,
+      "step": 570
+    },
+    {
+      "entropy": 6.9024957656860355,
+      "epoch": 0.4763877381938691,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000287,
+      "loss": 6.6287,
+      "mean_token_accuracy": 0.1026283286511898,
+      "num_tokens": 1054703.0,
+      "step": 575
+    },
+    {
+      "entropy": 6.647345924377442,
+      "epoch": 0.48053024026512015,
+      "grad_norm": 1.5,
+      "learning_rate": 0.0002895,
+      "loss": 6.4841,
+      "mean_token_accuracy": 0.10212503597140313,
+      "num_tokens": 1063652.0,
+      "step": 580
+    },
+    {
+      "entropy": 6.717900657653809,
+      "epoch": 0.48467274233637114,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000292,
+      "loss": 6.5873,
+      "mean_token_accuracy": 0.10145951434969902,
+      "num_tokens": 1072070.0,
+      "step": 585
+    },
+    {
+      "entropy": 6.997959756851197,
+      "epoch": 0.4888152444076222,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002945,
+      "loss": 6.6143,
+      "mean_token_accuracy": 0.10064447894692422,
+      "num_tokens": 1079992.0,
+      "step": 590
+    },
+    {
+      "entropy": 6.657160854339599,
+      "epoch": 0.49295774647887325,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000297,
+      "loss": 6.628,
+      "mean_token_accuracy": 0.10435748845338821,
+      "num_tokens": 1088862.0,
+      "step": 595
+    },
+    {
+      "entropy": 6.773271942138672,
+      "epoch": 0.4971002485501243,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002995,
+      "loss": 6.4317,
+      "mean_token_accuracy": 0.10795770138502121,
+      "num_tokens": 1097614.0,
+      "step": 600
+    },
+    {
+      "entropy": 6.7102379322052,
+      "epoch": 0.5012427506213754,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000302,
+      "loss": 6.6288,
+      "mean_token_accuracy": 0.10706980749964715,
+      "num_tokens": 1107347.0,
+      "step": 605
+    },
+    {
+      "entropy": 6.8672473430633545,
+      "epoch": 0.5053852526926264,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003045,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10073774978518486,
+      "num_tokens": 1116707.0,
+      "step": 610
+    },
+    {
+      "entropy": 6.764383840560913,
+      "epoch": 0.5095277547638773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000307,
+      "loss": 6.6549,
+      "mean_token_accuracy": 0.10234303548932075,
+      "num_tokens": 1126356.0,
+      "step": 615
+    },
+    {
+      "entropy": 6.787193298339844,
+      "epoch": 0.5136702568351285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003095,
+      "loss": 6.5847,
+      "mean_token_accuracy": 0.10079671740531922,
+      "num_tokens": 1136281.0,
+      "step": 620
+    },
+    {
+      "entropy": 6.713733196258545,
+      "epoch": 0.5178127589063795,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000312,
+      "loss": 6.5355,
+      "mean_token_accuracy": 0.10429632142186165,
+      "num_tokens": 1145466.0,
+      "step": 625
+    },
+    {
+      "entropy": 6.7503923892974855,
+      "epoch": 0.5219552609776305,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003145,
+      "loss": 6.5409,
+      "mean_token_accuracy": 0.10918259546160698,
+      "num_tokens": 1154225.0,
+      "step": 630
+    },
+    {
+      "entropy": 6.761834907531738,
+      "epoch": 0.5260977630488816,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000317,
+      "loss": 6.5885,
+      "mean_token_accuracy": 0.09673135951161385,
+      "num_tokens": 1163872.0,
+      "step": 635
+    },
+    {
+      "entropy": 6.69431324005127,
+      "epoch": 0.5302402651201326,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003195,
+      "loss": 6.5244,
+      "mean_token_accuracy": 0.10705070868134499,
+      "num_tokens": 1172695.0,
+      "step": 640
+    },
+    {
+      "entropy": 6.651590061187744,
+      "epoch": 0.5343827671913836,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000322,
+      "loss": 6.3962,
+      "mean_token_accuracy": 0.11006554961204529,
+      "num_tokens": 1181291.0,
+      "step": 645
+    },
+    {
+      "entropy": 6.782713270187378,
+      "epoch": 0.5385252692626347,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00032450000000000003,
+      "loss": 6.5715,
+      "mean_token_accuracy": 0.10394523739814758,
+      "num_tokens": 1189927.0,
+      "step": 650
+    },
+    {
+      "entropy": 6.705166435241699,
+      "epoch": 0.5426677713338857,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00032700000000000003,
+      "loss": 6.5043,
+      "mean_token_accuracy": 0.10940467119216919,
+      "num_tokens": 1197913.0,
+      "step": 655
+    },
+    {
+      "entropy": 6.670699262619019,
+      "epoch": 0.5468102734051367,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032950000000000004,
+      "loss": 6.4309,
+      "mean_token_accuracy": 0.11147961542010307,
+      "num_tokens": 1207032.0,
+      "step": 660
+    },
+    {
+      "entropy": 6.640204334259034,
+      "epoch": 0.5509527754763878,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00033200000000000005,
+      "loss": 6.5397,
+      "mean_token_accuracy": 0.10571447387337685,
+      "num_tokens": 1215710.0,
+      "step": 665
+    },
+    {
+      "entropy": 6.694819068908691,
+      "epoch": 0.5550952775476388,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033450000000000005,
+      "loss": 6.52,
+      "mean_token_accuracy": 0.10049431845545768,
+      "num_tokens": 1225619.0,
+      "step": 670
+    },
+    {
+      "entropy": 6.649594163894653,
+      "epoch": 0.5592377796188898,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000337,
+      "loss": 6.4407,
+      "mean_token_accuracy": 0.11157044768333435,
+      "num_tokens": 1235000.0,
+      "step": 675
+    },
+    {
+      "entropy": 6.612611961364746,
+      "epoch": 0.5633802816901409,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003395,
+      "loss": 6.4462,
+      "mean_token_accuracy": 0.108580531924963,
+      "num_tokens": 1243594.0,
+      "step": 680
+    },
+    {
+      "entropy": 6.843221950531006,
+      "epoch": 0.5675227837613919,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000342,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10460855960845947,
+      "num_tokens": 1252279.0,
+      "step": 685
+    },
+    {
+      "entropy": 6.760235929489136,
+      "epoch": 0.5716652858326429,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034449999999999997,
+      "loss": 6.559,
+      "mean_token_accuracy": 0.10665302500128745,
+      "num_tokens": 1261314.0,
+      "step": 690
+    },
+    {
+      "entropy": 6.55326566696167,
+      "epoch": 0.575807787903894,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000347,
+      "loss": 6.4337,
+      "mean_token_accuracy": 0.11188110187649727,
+      "num_tokens": 1270854.0,
+      "step": 695
+    },
+    {
+      "entropy": 6.618375587463379,
+      "epoch": 0.579950289975145,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003495,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.11392810270190239,
+      "num_tokens": 1279183.0,
+      "step": 700
+    },
+    {
+      "entropy": 6.626208257675171,
+      "epoch": 0.584092792046396,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000352,
+      "loss": 6.5015,
+      "mean_token_accuracy": 0.10761247500777245,
+      "num_tokens": 1288347.0,
+      "step": 705
+    },
+    {
+      "entropy": 6.6855669021606445,
+      "epoch": 0.5882352941176471,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003545,
+      "loss": 6.5036,
+      "mean_token_accuracy": 0.10823310390114785,
+      "num_tokens": 1297449.0,
+      "step": 710
+    },
+    {
+      "entropy": 6.710147094726563,
+      "epoch": 0.5923777961888981,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000357,
+      "loss": 6.4688,
+      "mean_token_accuracy": 0.10904998034238815,
+      "num_tokens": 1306232.0,
+      "step": 715
+    },
+    {
+      "entropy": 6.6553794860839846,
+      "epoch": 0.5965202982601492,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003595,
+      "loss": 6.4857,
+      "mean_token_accuracy": 0.11109372302889824,
+      "num_tokens": 1315073.0,
+      "step": 720
+    },
+    {
+      "entropy": 6.674065732955933,
+      "epoch": 0.6006628003314002,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000362,
+      "loss": 6.5301,
+      "mean_token_accuracy": 0.10648825243115426,
+      "num_tokens": 1324629.0,
+      "step": 725
+    },
+    {
+      "entropy": 6.700368881225586,
+      "epoch": 0.6048053024026512,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0003645,
+      "loss": 6.6444,
+      "mean_token_accuracy": 0.10443340390920638,
+      "num_tokens": 1334152.0,
+      "step": 730
+    },
+    {
+      "entropy": 6.779498624801636,
+      "epoch": 0.6089478044739023,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000367,
+      "loss": 6.5946,
+      "mean_token_accuracy": 0.10130336955189705,
+      "num_tokens": 1343063.0,
+      "step": 735
+    },
+    {
+      "entropy": 6.684298419952393,
+      "epoch": 0.6130903065451533,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0003695,
+      "loss": 6.5241,
+      "mean_token_accuracy": 0.10516620799899101,
+      "num_tokens": 1352632.0,
+      "step": 740
+    },
+    {
+      "entropy": 6.582866573333741,
+      "epoch": 0.6172328086164043,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000372,
+      "loss": 6.4712,
+      "mean_token_accuracy": 0.10765027329325676,
+      "num_tokens": 1361103.0,
+      "step": 745
+    },
+    {
+      "entropy": 6.643687963485718,
+      "epoch": 0.6213753106876554,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003745,
+      "loss": 6.4642,
+      "mean_token_accuracy": 0.10832677409052849,
+      "num_tokens": 1370658.0,
+      "step": 750
+    },
+    {
+      "entropy": 6.64506516456604,
+      "epoch": 0.6255178127589064,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000377,
+      "loss": 6.4878,
+      "mean_token_accuracy": 0.10808288529515267,
+      "num_tokens": 1379817.0,
+      "step": 755
+    },
+    {
+      "entropy": 6.640752458572388,
+      "epoch": 0.6296603148301574,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003795,
+      "loss": 6.4418,
+      "mean_token_accuracy": 0.10874675288796425,
+      "num_tokens": 1389329.0,
+      "step": 760
+    },
+    {
+      "entropy": 6.4627049446105955,
+      "epoch": 0.6338028169014085,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000382,
+      "loss": 6.4902,
+      "mean_token_accuracy": 0.10606684386730195,
+      "num_tokens": 1399279.0,
+      "step": 765
+    },
+    {
+      "entropy": 6.621781063079834,
+      "epoch": 0.6379453189726595,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003845,
+      "loss": 6.4146,
+      "mean_token_accuracy": 0.11267002299427986,
+      "num_tokens": 1408765.0,
+      "step": 770
+    },
+    {
+      "entropy": 6.736465692520142,
+      "epoch": 0.6420878210439105,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038700000000000003,
+      "loss": 6.5632,
+      "mean_token_accuracy": 0.10607504546642303,
+      "num_tokens": 1418615.0,
+      "step": 775
+    },
+    {
+      "entropy": 6.616378879547119,
+      "epoch": 0.6462303231151616,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038950000000000003,
+      "loss": 6.4664,
+      "mean_token_accuracy": 0.10207068845629692,
+      "num_tokens": 1427359.0,
+      "step": 780
+    },
+    {
+      "entropy": 6.70065336227417,
+      "epoch": 0.6503728251864126,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00039200000000000004,
+      "loss": 6.622,
+      "mean_token_accuracy": 0.1116428442299366,
+      "num_tokens": 1435516.0,
+      "step": 785
+    },
+    {
+      "entropy": 6.709064102172851,
+      "epoch": 0.6545153272576636,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00039450000000000005,
+      "loss": 6.5704,
+      "mean_token_accuracy": 0.10583743155002594,
+      "num_tokens": 1444438.0,
+      "step": 790
+    },
+    {
+      "entropy": 6.671351766586303,
+      "epoch": 0.6586578293289147,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00039700000000000005,
+      "loss": 6.4996,
+      "mean_token_accuracy": 0.11326526403427124,
+      "num_tokens": 1453740.0,
+      "step": 795
+    },
+    {
+      "entropy": 6.614573907852173,
+      "epoch": 0.6628003314001657,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003995,
+      "loss": 6.4874,
+      "mean_token_accuracy": 0.11111863479018211,
+      "num_tokens": 1462083.0,
+      "step": 800
+    },
+    {
+      "entropy": 6.484545516967773,
+      "epoch": 0.6669428334714167,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000402,
+      "loss": 6.4127,
+      "mean_token_accuracy": 0.1100592203438282,
+      "num_tokens": 1471459.0,
+      "step": 805
+    },
+    {
+      "entropy": 6.621589279174804,
+      "epoch": 0.6710853355426678,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004045,
+      "loss": 6.3972,
+      "mean_token_accuracy": 0.11681128293275833,
+      "num_tokens": 1480516.0,
+      "step": 810
+    },
+    {
+      "entropy": 6.421737241744995,
+      "epoch": 0.6752278376139188,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00040699999999999997,
+      "loss": 6.3,
+      "mean_token_accuracy": 0.11318568140268326,
+      "num_tokens": 1489268.0,
+      "step": 815
+    },
+    {
+      "entropy": 6.700246906280517,
+      "epoch": 0.6793703396851698,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004095,
+      "loss": 6.5174,
+      "mean_token_accuracy": 0.11110908538103104,
+      "num_tokens": 1498819.0,
+      "step": 820
+    },
+    {
+      "entropy": 6.622490644454956,
+      "epoch": 0.6835128417564209,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000412,
+      "loss": 6.501,
+      "mean_token_accuracy": 0.11033953949809075,
+      "num_tokens": 1507852.0,
+      "step": 825
+    },
+    {
+      "entropy": 6.59730544090271,
+      "epoch": 0.6876553438276719,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004145,
+      "loss": 6.5302,
+      "mean_token_accuracy": 0.11122860461473465,
+      "num_tokens": 1517538.0,
+      "step": 830
+    },
+    {
+      "entropy": 6.458763217926025,
+      "epoch": 0.6917978458989229,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000417,
+      "loss": 6.4061,
+      "mean_token_accuracy": 0.11324542313814163,
+      "num_tokens": 1525389.0,
+      "step": 835
+    },
+    {
+      "entropy": 6.57511887550354,
+      "epoch": 0.695940347970174,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004195,
+      "loss": 6.3741,
+      "mean_token_accuracy": 0.11116622686386109,
+      "num_tokens": 1534117.0,
+      "step": 840
+    },
+    {
+      "entropy": 6.522304344177246,
+      "epoch": 0.700082850041425,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000422,
+      "loss": 6.4029,
+      "mean_token_accuracy": 0.11315450444817543,
+      "num_tokens": 1542610.0,
+      "step": 845
+    },
+    {
+      "entropy": 6.5175107479095455,
+      "epoch": 0.704225352112676,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004245,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.1143906556069851,
+      "num_tokens": 1551771.0,
+      "step": 850
+    },
+    {
+      "entropy": 6.620167636871338,
+      "epoch": 0.7083678541839271,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.000427,
+      "loss": 6.5779,
+      "mean_token_accuracy": 0.10512799099087715,
+      "num_tokens": 1560231.0,
+      "step": 855
+    },
+    {
+      "entropy": 6.589151382446289,
+      "epoch": 0.7125103562551781,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004295,
+      "loss": 6.5346,
+      "mean_token_accuracy": 0.10532297939062119,
+      "num_tokens": 1569578.0,
+      "step": 860
+    },
+    {
+      "entropy": 6.563750839233398,
+      "epoch": 0.7166528583264291,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000432,
+      "loss": 6.4187,
+      "mean_token_accuracy": 0.11381370946764946,
+      "num_tokens": 1579308.0,
+      "step": 865
+    },
+    {
+      "entropy": 6.597287034988403,
+      "epoch": 0.7207953603976802,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004345,
+      "loss": 6.6081,
+      "mean_token_accuracy": 0.10267190784215927,
+      "num_tokens": 1589506.0,
+      "step": 870
+    },
+    {
+      "entropy": 6.482245397567749,
+      "epoch": 0.7249378624689312,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000437,
+      "loss": 6.3671,
+      "mean_token_accuracy": 0.11368186473846435,
+      "num_tokens": 1598127.0,
+      "step": 875
+    },
+    {
+      "entropy": 6.548954200744629,
+      "epoch": 0.7290803645401823,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004395,
+      "loss": 6.4125,
+      "mean_token_accuracy": 0.11406067088246345,
+      "num_tokens": 1608073.0,
+      "step": 880
+    },
+    {
+      "entropy": 6.551317119598389,
+      "epoch": 0.7332228666114333,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000442,
+      "loss": 6.4304,
+      "mean_token_accuracy": 0.11178040653467178,
+      "num_tokens": 1616272.0,
+      "step": 885
+    },
+    {
+      "entropy": 6.496135663986206,
+      "epoch": 0.7373653686826843,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004445,
+      "loss": 6.447,
+      "mean_token_accuracy": 0.10845504105091094,
+      "num_tokens": 1625577.0,
+      "step": 890
+    },
+    {
+      "entropy": 6.685812950134277,
+      "epoch": 0.7415078707539354,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000447,
+      "loss": 6.533,
+      "mean_token_accuracy": 0.10158233270049095,
+      "num_tokens": 1634902.0,
+      "step": 895
+    },
+    {
+      "entropy": 6.520436191558838,
+      "epoch": 0.7456503728251864,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00044950000000000003,
+      "loss": 6.4674,
+      "mean_token_accuracy": 0.10865833014249801,
+      "num_tokens": 1644131.0,
+      "step": 900
+    },
+    {
+      "entropy": 6.461379718780518,
+      "epoch": 0.7497928748964374,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00045200000000000004,
+      "loss": 6.3694,
+      "mean_token_accuracy": 0.12158194407820702,
+      "num_tokens": 1652272.0,
+      "step": 905
+    },
+    {
+      "entropy": 6.533070278167725,
+      "epoch": 0.7539353769676885,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00045450000000000004,
+      "loss": 6.4632,
+      "mean_token_accuracy": 0.11447574123740197,
+      "num_tokens": 1660962.0,
+      "step": 910
+    },
+    {
+      "entropy": 6.475569725036621,
+      "epoch": 0.7580778790389395,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045700000000000005,
+      "loss": 6.4006,
+      "mean_token_accuracy": 0.11205699220299721,
+      "num_tokens": 1670570.0,
+      "step": 915
+    },
+    {
+      "entropy": 6.526782608032226,
+      "epoch": 0.7622203811101905,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00045950000000000006,
+      "loss": 6.4497,
+      "mean_token_accuracy": 0.1096197433769703,
+      "num_tokens": 1679674.0,
+      "step": 920
+    },
+    {
+      "entropy": 6.530770015716553,
+      "epoch": 0.7663628831814416,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000462,
+      "loss": 6.4324,
+      "mean_token_accuracy": 0.11466658413410187,
+      "num_tokens": 1688849.0,
+      "step": 925
+    },
+    {
+      "entropy": 6.4163538932800295,
+      "epoch": 0.7705053852526926,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004645,
+      "loss": 6.3128,
+      "mean_token_accuracy": 0.1098814107477665,
+      "num_tokens": 1698565.0,
+      "step": 930
+    },
+    {
+      "entropy": 6.5036052703857425,
+      "epoch": 0.7746478873239436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000467,
+      "loss": 6.3986,
+      "mean_token_accuracy": 0.11683695837855339,
+      "num_tokens": 1708009.0,
+      "step": 935
+    },
+    {
+      "entropy": 6.518198871612549,
+      "epoch": 0.7787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004695,
+      "loss": 6.3878,
+      "mean_token_accuracy": 0.1126109592616558,
+      "num_tokens": 1716497.0,
+      "step": 940
+    },
+    {
+      "entropy": 6.415347719192505,
+      "epoch": 0.7829328914664457,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000472,
+      "loss": 6.4082,
+      "mean_token_accuracy": 0.12070046439766884,
+      "num_tokens": 1725609.0,
+      "step": 945
+    },
+    {
+      "entropy": 6.477306175231933,
+      "epoch": 0.7870753935376967,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004745,
+      "loss": 6.3456,
+      "mean_token_accuracy": 0.11454906165599824,
+      "num_tokens": 1734165.0,
+      "step": 950
+    },
+    {
+      "entropy": 6.454520893096924,
+      "epoch": 0.7912178956089478,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000477,
+      "loss": 6.4546,
+      "mean_token_accuracy": 0.10918105840682983,
+      "num_tokens": 1744856.0,
+      "step": 955
+    },
+    {
+      "entropy": 6.4711943626403805,
+      "epoch": 0.7953603976801988,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004795,
+      "loss": 6.4509,
+      "mean_token_accuracy": 0.10578904524445534,
+      "num_tokens": 1753386.0,
+      "step": 960
+    },
+    {
+      "entropy": 6.4536961078643795,
+      "epoch": 0.7995028997514498,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000482,
+      "loss": 6.3053,
+      "mean_token_accuracy": 0.11872726455330848,
+      "num_tokens": 1762521.0,
+      "step": 965
+    },
+    {
+      "entropy": 6.34936490058899,
+      "epoch": 0.8036454018227009,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004845,
+      "loss": 6.3765,
+      "mean_token_accuracy": 0.11444728896021843,
+      "num_tokens": 1772403.0,
+      "step": 970
+    },
+    {
+      "entropy": 6.375087881088257,
+      "epoch": 0.8077879038939519,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000487,
+      "loss": 6.2884,
+      "mean_token_accuracy": 0.11179185584187508,
+      "num_tokens": 1780924.0,
+      "step": 975
+    },
+    {
+      "entropy": 6.547906732559204,
+      "epoch": 0.8119304059652029,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004895,
+      "loss": 6.4367,
+      "mean_token_accuracy": 0.11225800514221192,
+      "num_tokens": 1789992.0,
+      "step": 980
+    },
+    {
+      "entropy": 6.421040678024292,
+      "epoch": 0.816072908036454,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000492,
+      "loss": 6.3919,
+      "mean_token_accuracy": 0.11761699616909027,
+      "num_tokens": 1799513.0,
+      "step": 985
+    },
+    {
+      "entropy": 6.332476711273193,
+      "epoch": 0.820215410107705,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0004945,
+      "loss": 6.2287,
+      "mean_token_accuracy": 0.11279567033052444,
+      "num_tokens": 1807393.0,
+      "step": 990
+    },
+    {
+      "entropy": 6.438618326187134,
+      "epoch": 0.824357912178956,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000497,
+      "loss": 6.5079,
+      "mean_token_accuracy": 0.10579989776015282,
+      "num_tokens": 1817284.0,
+      "step": 995
+    },
+    {
+      "entropy": 6.449818515777588,
+      "epoch": 0.8285004142502072,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004995,
+      "loss": 6.2996,
+      "mean_token_accuracy": 0.11799877136945724,
+      "num_tokens": 1825591.0,
+      "step": 1000
+    },
+    {
+      "epoch": 0.8285004142502072,
+      "eval_entropy": 6.222835092402216,
+      "eval_loss": 6.475013256072998,
+      "eval_mean_token_accuracy": 0.11269166863866961,
+      "eval_num_tokens": 1825591.0,
+      "eval_runtime": 2.7611,
+      "eval_samples_per_second": 1357.068,
+      "eval_steps_per_second": 169.86,
+      "step": 1000
+    },
+    {
+      "entropy": 6.457831478118896,
+      "epoch": 0.8326429163214581,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0004999998547681232,
+      "loss": 6.3959,
+      "mean_token_accuracy": 0.11798396334052086,
+      "num_tokens": 1834655.0,
+      "step": 1005
+    },
+    {
+      "entropy": 6.26599349975586,
+      "epoch": 0.8367854183927091,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004999992647639447,
+      "loss": 6.2578,
+      "mean_token_accuracy": 0.11858200430870056,
+      "num_tokens": 1844187.0,
+      "step": 1010
+    },
+    {
+      "entropy": 6.415271520614624,
+      "epoch": 0.8409279204639603,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999982209116618,
+      "loss": 6.3345,
+      "mean_token_accuracy": 0.11406200677156449,
+      "num_tokens": 1852768.0,
+      "step": 1015
+    },
+    {
+      "entropy": 6.355557584762574,
+      "epoch": 0.8450704225352113,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004999967232133796,
+      "loss": 6.3913,
+      "mean_token_accuracy": 0.12348653748631477,
+      "num_tokens": 1862095.0,
+      "step": 1020
+    },
+    {
+      "entropy": 6.427043008804321,
+      "epoch": 0.8492129246064622,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004999947716721196,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.10961534604430198,
+      "num_tokens": 1871239.0,
+      "step": 1025
+    },
+    {
+      "entropy": 6.509608554840088,
+      "epoch": 0.8533554266777134,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004999923662918179,
+      "loss": 6.4323,
+      "mean_token_accuracy": 0.11334251016378402,
+      "num_tokens": 1880065.0,
+      "step": 1030
+    },
+    {
+      "entropy": 6.417975521087646,
+      "epoch": 0.8574979287489644,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999895070773266,
+      "loss": 6.4608,
+      "mean_token_accuracy": 0.10985229611396789,
+      "num_tokens": 1889065.0,
+      "step": 1035
+    },
+    {
+      "entropy": 6.429206514358521,
+      "epoch": 0.8616404308202155,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999861940344129,
+      "loss": 6.4721,
+      "mean_token_accuracy": 0.11190373301506043,
+      "num_tokens": 1898238.0,
+      "step": 1040
+    },
+    {
+      "entropy": 6.462369585037232,
+      "epoch": 0.8657829328914665,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004999824271697597,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.12136606723070145,
+      "num_tokens": 1906780.0,
+      "step": 1045
+    },
+    {
+      "entropy": 6.506088638305664,
+      "epoch": 0.8699254349627175,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000499978206490965,
+      "loss": 6.4745,
+      "mean_token_accuracy": 0.11197563111782075,
+      "num_tokens": 1916183.0,
+      "step": 1050
+    },
+    {
+      "entropy": 6.427097368240356,
+      "epoch": 0.8740679370339686,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999735320065427,
+      "loss": 6.3371,
+      "mean_token_accuracy": 0.11927392706274986,
+      "num_tokens": 1925382.0,
+      "step": 1055
+    },
+    {
+      "entropy": 6.292429256439209,
+      "epoch": 0.8782104391052196,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999684037259216,
+      "loss": 6.1827,
+      "mean_token_accuracy": 0.1270924136042595,
+      "num_tokens": 1933639.0,
+      "step": 1060
+    },
+    {
+      "entropy": 6.3600146770477295,
+      "epoch": 0.8823529411764706,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999628216594456,
+      "loss": 6.464,
+      "mean_token_accuracy": 0.11409285366535186,
+      "num_tokens": 1943044.0,
+      "step": 1065
+    },
+    {
+      "entropy": 6.460871028900146,
+      "epoch": 0.8864954432477217,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000499956785818375,
+      "loss": 6.303,
+      "mean_token_accuracy": 0.11871922463178634,
+      "num_tokens": 1951777.0,
+      "step": 1070
+    },
+    {
+      "entropy": 6.376981210708618,
+      "epoch": 0.8906379453189727,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004999502962148843,
+      "loss": 6.3666,
+      "mean_token_accuracy": 0.1170460693538189,
+      "num_tokens": 1961356.0,
+      "step": 1075
+    },
+    {
+      "entropy": 6.439280414581299,
+      "epoch": 0.8947804473902237,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000499943352862064,
+      "loss": 6.4248,
+      "mean_token_accuracy": 0.11459407210350037,
+      "num_tokens": 1970341.0,
+      "step": 1080
+    },
+    {
+      "entropy": 6.394289827346801,
+      "epoch": 0.8989229494614748,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004999359557739194,
+      "loss": 6.2796,
+      "mean_token_accuracy": 0.12198276743292809,
+      "num_tokens": 1978576.0,
+      "step": 1085
+    },
+    {
+      "entropy": 6.319045782089233,
+      "epoch": 0.9030654515327258,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004999281049653713,
+      "loss": 6.3227,
+      "mean_token_accuracy": 0.11601013913750649,
+      "num_tokens": 1987229.0,
+      "step": 1090
+    },
+    {
+      "entropy": 6.376017141342163,
+      "epoch": 0.9072079536039768,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999198004522557,
+      "loss": 6.261,
+      "mean_token_accuracy": 0.12269015237689018,
+      "num_tokens": 1996473.0,
+      "step": 1095
+    },
+    {
+      "entropy": 6.2405853271484375,
+      "epoch": 0.9113504556752279,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999110422513237,
+      "loss": 6.286,
+      "mean_token_accuracy": 0.12056776732206345,
+      "num_tokens": 2005551.0,
+      "step": 1100
+    },
+    {
+      "entropy": 6.398191165924072,
+      "epoch": 0.9154929577464789,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999018303802414,
+      "loss": 6.3869,
+      "mean_token_accuracy": 0.11947718560695648,
+      "num_tokens": 2015012.0,
+      "step": 1105
+    },
+    {
+      "entropy": 6.374700450897217,
+      "epoch": 0.9196354598177299,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004998921648575904,
+      "loss": 6.3999,
+      "mean_token_accuracy": 0.1203969657421112,
+      "num_tokens": 2024435.0,
+      "step": 1110
+    },
+    {
+      "entropy": 6.380674362182617,
+      "epoch": 0.923777961888981,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004998820457028669,
+      "loss": 6.3005,
+      "mean_token_accuracy": 0.12089794874191284,
+      "num_tokens": 2033991.0,
+      "step": 1115
+    },
+    {
+      "entropy": 6.409522771835327,
+      "epoch": 0.927920463960232,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998714729364824,
+      "loss": 6.3017,
+      "mean_token_accuracy": 0.1228084571659565,
+      "num_tokens": 2043117.0,
+      "step": 1120
+    },
+    {
+      "entropy": 6.326260423660278,
+      "epoch": 0.932062966031483,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004998604465797634,
+      "loss": 6.3305,
+      "mean_token_accuracy": 0.11992078274488449,
+      "num_tokens": 2052304.0,
+      "step": 1125
+    },
+    {
+      "entropy": 6.251798295974732,
+      "epoch": 0.9362054681027341,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998489666549512,
+      "loss": 6.2779,
+      "mean_token_accuracy": 0.12114684730768203,
+      "num_tokens": 2061217.0,
+      "step": 1130
+    },
+    {
+      "entropy": 6.319644594192505,
+      "epoch": 0.9403479701739851,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.0004998370331852021,
+      "loss": 6.2517,
+      "mean_token_accuracy": 0.11879112273454666,
+      "num_tokens": 2070796.0,
+      "step": 1135
+    },
+    {
+      "entropy": 6.465651321411133,
+      "epoch": 0.9444904722452361,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004998246461945872,
+      "loss": 6.4037,
+      "mean_token_accuracy": 0.12191760018467904,
+      "num_tokens": 2080202.0,
+      "step": 1140
+    },
+    {
+      "entropy": 6.320812797546386,
+      "epoch": 0.9486329743164872,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004998118057080923,
+      "loss": 6.3045,
+      "mean_token_accuracy": 0.11891168132424354,
+      "num_tokens": 2089788.0,
+      "step": 1145
+    },
+    {
+      "entropy": 6.301202344894409,
+      "epoch": 0.9527754763877382,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004997985117516183,
+      "loss": 6.3462,
+      "mean_token_accuracy": 0.11142431199550629,
+      "num_tokens": 2098727.0,
+      "step": 1150
+    },
+    {
+      "entropy": 6.344118309020996,
+      "epoch": 0.9569179784589892,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997847643519803,
+      "loss": 6.226,
+      "mean_token_accuracy": 0.11924557387828827,
+      "num_tokens": 2107645.0,
+      "step": 1155
+    },
+    {
+      "entropy": 6.1790977954864506,
+      "epoch": 0.9610604805302403,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997705635369085,
+      "loss": 6.1991,
+      "mean_token_accuracy": 0.11988648250699044,
+      "num_tokens": 2116613.0,
+      "step": 1160
+    },
+    {
+      "entropy": 6.284418439865112,
+      "epoch": 0.9652029826014913,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004997559093350474,
+      "loss": 6.1881,
+      "mean_token_accuracy": 0.12116428092122078,
+      "num_tokens": 2125585.0,
+      "step": 1165
+    },
+    {
+      "entropy": 6.396596622467041,
+      "epoch": 0.9693454846727423,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004997408017759562,
+      "loss": 6.3359,
+      "mean_token_accuracy": 0.11936862170696258,
+      "num_tokens": 2134795.0,
+      "step": 1170
+    },
+    {
+      "entropy": 6.273751878738404,
+      "epoch": 0.9734879867439934,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004997252408901084,
+      "loss": 6.3271,
+      "mean_token_accuracy": 0.11899949684739113,
+      "num_tokens": 2143699.0,
+      "step": 1175
+    },
+    {
+      "entropy": 6.386678028106689,
+      "epoch": 0.9776304888152444,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004997092267088922,
+      "loss": 6.2707,
+      "mean_token_accuracy": 0.11861606612801552,
+      "num_tokens": 2152187.0,
+      "step": 1180
+    },
+    {
+      "entropy": 6.275117111206055,
+      "epoch": 0.9817729908864954,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004996927592646097,
+      "loss": 6.3412,
+      "mean_token_accuracy": 0.11767763197422028,
+      "num_tokens": 2160941.0,
+      "step": 1185
+    },
+    {
+      "entropy": 6.339710283279419,
+      "epoch": 0.9859154929577465,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004996758385904776,
+      "loss": 6.3119,
+      "mean_token_accuracy": 0.11789651140570641,
+      "num_tokens": 2168946.0,
+      "step": 1190
+    },
+    {
+      "entropy": 6.181374216079712,
+      "epoch": 0.9900579950289975,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004996584647206269,
+      "loss": 6.2237,
+      "mean_token_accuracy": 0.12055367529392243,
+      "num_tokens": 2177662.0,
+      "step": 1195
+    },
+    {
+      "entropy": 6.316773986816406,
+      "epoch": 0.9942004971002486,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004996406376901026,
+      "loss": 6.3268,
+      "mean_token_accuracy": 0.12757316455245019,
+      "num_tokens": 2187461.0,
+      "step": 1200
+    },
+    {
+      "entropy": 6.283385133743286,
+      "epoch": 0.9983429991714996,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004996223575348635,
+      "loss": 6.2207,
+      "mean_token_accuracy": 0.12578138560056687,
+      "num_tokens": 2196878.0,
+      "step": 1205
+    },
+    {
+      "entropy": 6.311019659042358,
+      "epoch": 1.0024855012427507,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004996036242917828,
+      "loss": 6.2021,
+      "mean_token_accuracy": 0.1151522897183895,
+      "num_tokens": 2206178.0,
+      "step": 1210
+    },
+    {
+      "entropy": 6.25421667098999,
+      "epoch": 1.0066280033140016,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004995844379986476,
+      "loss": 6.0526,
+      "mean_token_accuracy": 0.12476176023483276,
+      "num_tokens": 2215330.0,
+      "step": 1215
+    },
+    {
+      "entropy": 6.309921216964722,
+      "epoch": 1.0107705053852527,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004995647986941587,
+      "loss": 6.0354,
+      "mean_token_accuracy": 0.13005029112100602,
+      "num_tokens": 2224146.0,
+      "step": 1220
+    },
+    {
+      "entropy": 6.241363286972046,
+      "epoch": 1.0149130074565038,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004995447064179308,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13421598002314566,
+      "num_tokens": 2233646.0,
+      "step": 1225
+    },
+    {
+      "entropy": 6.058859920501709,
+      "epoch": 1.0190555095277547,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.000499524161210492,
+      "loss": 5.9379,
+      "mean_token_accuracy": 0.12560308948159218,
+      "num_tokens": 2243663.0,
+      "step": 1230
+    },
+    {
+      "entropy": 6.270004224777222,
+      "epoch": 1.0231980115990058,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004995031631132844,
+      "loss": 6.1035,
+      "mean_token_accuracy": 0.13170127123594283,
+      "num_tokens": 2252564.0,
+      "step": 1235
+    },
+    {
+      "entropy": 6.2710247993469235,
+      "epoch": 1.027340513670257,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004994817121686633,
+      "loss": 6.099,
+      "mean_token_accuracy": 0.12465815395116805,
+      "num_tokens": 2262504.0,
+      "step": 1240
+    },
+    {
+      "entropy": 6.193396997451782,
+      "epoch": 1.0314830157415078,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004994598084198979,
+      "loss": 5.9843,
+      "mean_token_accuracy": 0.1374910719692707,
+      "num_tokens": 2270553.0,
+      "step": 1245
+    },
+    {
+      "entropy": 6.136552810668945,
+      "epoch": 1.035625517812759,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004994374519111701,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.1272726461291313,
+      "num_tokens": 2279319.0,
+      "step": 1250
+    },
+    {
+      "entropy": 6.217378282546997,
+      "epoch": 1.03976801988401,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004994146426875757,
+      "loss": 6.123,
+      "mean_token_accuracy": 0.126935476064682,
+      "num_tokens": 2288749.0,
+      "step": 1255
+    },
+    {
+      "entropy": 6.218695068359375,
+      "epoch": 1.043910521955261,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004993913807951232,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.12562426924705505,
+      "num_tokens": 2298272.0,
+      "step": 1260
+    },
+    {
+      "entropy": 6.221994352340698,
+      "epoch": 1.048053024026512,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004993676662807345,
+      "loss": 6.047,
+      "mean_token_accuracy": 0.12884460240602494,
+      "num_tokens": 2307230.0,
+      "step": 1265
+    },
+    {
+      "entropy": 6.183428144454956,
+      "epoch": 1.0521955260977631,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004993434991922443,
+      "loss": 6.1317,
+      "mean_token_accuracy": 0.12460145726799965,
+      "num_tokens": 2316306.0,
+      "step": 1270
+    },
+    {
+      "entropy": 6.22090425491333,
+      "epoch": 1.056338028169014,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004993188795784002,
+      "loss": 6.0531,
+      "mean_token_accuracy": 0.1241947129368782,
+      "num_tokens": 2325672.0,
+      "step": 1275
+    },
+    {
+      "entropy": 6.1453857421875,
+      "epoch": 1.0604805302402651,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004992938074888628,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.1274007849395275,
+      "num_tokens": 2335251.0,
+      "step": 1280
+    },
+    {
+      "entropy": 6.180039167404175,
+      "epoch": 1.0646230323115162,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004992682829742052,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.1308726042509079,
+      "num_tokens": 2344054.0,
+      "step": 1285
+    },
+    {
+      "entropy": 6.086296463012696,
+      "epoch": 1.0687655343827671,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004992423060859132,
+      "loss": 6.0236,
+      "mean_token_accuracy": 0.127706591039896,
+      "num_tokens": 2353493.0,
+      "step": 1290
+    },
+    {
+      "entropy": 6.223158740997315,
+      "epoch": 1.0729080364540182,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004992158768763849,
+      "loss": 6.1321,
+      "mean_token_accuracy": 0.12850543335080147,
+      "num_tokens": 2362687.0,
+      "step": 1295
+    },
+    {
+      "entropy": 6.2506636619567875,
+      "epoch": 1.0770505385252693,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004991889953989308,
+      "loss": 6.0965,
+      "mean_token_accuracy": 0.12563316524028778,
+      "num_tokens": 2372325.0,
+      "step": 1300
+    },
+    {
+      "entropy": 6.173602199554443,
+      "epoch": 1.0811930405965202,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004991616617077741,
+      "loss": 6.12,
+      "mean_token_accuracy": 0.1287991665303707,
+      "num_tokens": 2381987.0,
+      "step": 1305
+    },
+    {
+      "entropy": 6.307486963272095,
+      "epoch": 1.0853355426677713,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004991338758580496,
+      "loss": 6.0234,
+      "mean_token_accuracy": 0.13178783878684044,
+      "num_tokens": 2390901.0,
+      "step": 1310
+    },
+    {
+      "entropy": 6.034789133071899,
+      "epoch": 1.0894780447390224,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004991056379058045,
+      "loss": 6.0813,
+      "mean_token_accuracy": 0.12450421676039695,
+      "num_tokens": 2400756.0,
+      "step": 1315
+    },
+    {
+      "entropy": 6.188017988204956,
+      "epoch": 1.0936205468102733,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004990769479079976,
+      "loss": 5.9232,
+      "mean_token_accuracy": 0.12984196096658707,
+      "num_tokens": 2409526.0,
+      "step": 1320
+    },
+    {
+      "entropy": 6.086554956436157,
+      "epoch": 1.0977630488815244,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004990478059225003,
+      "loss": 6.0931,
+      "mean_token_accuracy": 0.12972966134548186,
+      "num_tokens": 2419583.0,
+      "step": 1325
+    },
+    {
+      "entropy": 6.2457873821258545,
+      "epoch": 1.1019055509527755,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004990182120080945,
+      "loss": 6.0338,
+      "mean_token_accuracy": 0.12990806251764297,
+      "num_tokens": 2429439.0,
+      "step": 1330
+    },
+    {
+      "entropy": 6.078778219223023,
+      "epoch": 1.1060480530240264,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004989881662244748,
+      "loss": 6.0416,
+      "mean_token_accuracy": 0.12380676046013832,
+      "num_tokens": 2438467.0,
+      "step": 1335
+    },
+    {
+      "entropy": 6.138932418823242,
+      "epoch": 1.1101905550952775,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004989576686322468,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.1332716926932335,
+      "num_tokens": 2446619.0,
+      "step": 1340
+    },
+    {
+      "entropy": 6.1281578540802,
+      "epoch": 1.1143330571665286,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004989267192929272,
+      "loss": 6.0379,
+      "mean_token_accuracy": 0.12955363765358924,
+      "num_tokens": 2454998.0,
+      "step": 1345
+    },
+    {
+      "entropy": 6.09554443359375,
+      "epoch": 1.1184755592377795,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004988953182689445,
+      "loss": 6.0072,
+      "mean_token_accuracy": 0.13532012328505516,
+      "num_tokens": 2463497.0,
+      "step": 1350
+    },
+    {
+      "entropy": 6.134703922271728,
+      "epoch": 1.1226180613090306,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004988634656236378,
+      "loss": 5.9216,
+      "mean_token_accuracy": 0.13609320148825646,
+      "num_tokens": 2471763.0,
+      "step": 1355
+    },
+    {
+      "entropy": 6.145527791976929,
+      "epoch": 1.1267605633802817,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004988311614212576,
+      "loss": 6.0016,
+      "mean_token_accuracy": 0.1402701161801815,
+      "num_tokens": 2479949.0,
+      "step": 1360
+    },
+    {
+      "entropy": 6.116470623016357,
+      "epoch": 1.1309030654515326,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004987984057269648,
+      "loss": 6.0539,
+      "mean_token_accuracy": 0.13444141745567323,
+      "num_tokens": 2489097.0,
+      "step": 1365
+    },
+    {
+      "entropy": 5.972180604934692,
+      "epoch": 1.1350455675227837,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004987651986068311,
+      "loss": 5.8781,
+      "mean_token_accuracy": 0.13601028621196748,
+      "num_tokens": 2497625.0,
+      "step": 1370
+    },
+    {
+      "entropy": 6.143597984313965,
+      "epoch": 1.1391880695940348,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004987315401278394,
+      "loss": 6.1252,
+      "mean_token_accuracy": 0.1272761717438698,
+      "num_tokens": 2507107.0,
+      "step": 1375
+    },
+    {
+      "entropy": 6.286170959472656,
+      "epoch": 1.143330571665286,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004986974303578819,
+      "loss": 6.1408,
+      "mean_token_accuracy": 0.12348597794771195,
+      "num_tokens": 2516629.0,
+      "step": 1380
+    },
+    {
+      "entropy": 6.077923250198364,
+      "epoch": 1.1474730737365368,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004986628693657621,
+      "loss": 6.021,
+      "mean_token_accuracy": 0.1280151717364788,
+      "num_tokens": 2525924.0,
+      "step": 1385
+    },
+    {
+      "entropy": 6.229060649871826,
+      "epoch": 1.151615575807788,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004986278572211933,
+      "loss": 6.1723,
+      "mean_token_accuracy": 0.1280426375567913,
+      "num_tokens": 2535586.0,
+      "step": 1390
+    },
+    {
+      "entropy": 6.189875984191895,
+      "epoch": 1.1557580778790388,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004985923939947987,
+      "loss": 6.2595,
+      "mean_token_accuracy": 0.1247698113322258,
+      "num_tokens": 2546685.0,
+      "step": 1395
+    },
+    {
+      "entropy": 6.148470640182495,
+      "epoch": 1.15990057995029,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004985564797581115,
+      "loss": 5.9681,
+      "mean_token_accuracy": 0.12971177995204924,
+      "num_tokens": 2556873.0,
+      "step": 1400
+    },
+    {
+      "entropy": 6.143459701538086,
+      "epoch": 1.164043082021541,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004985201145835747,
+      "loss": 5.9836,
+      "mean_token_accuracy": 0.13127154856920242,
+      "num_tokens": 2565222.0,
+      "step": 1405
+    },
+    {
+      "entropy": 6.031957960128784,
+      "epoch": 1.1681855840927922,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.000498483298544541,
+      "loss": 5.9875,
+      "mean_token_accuracy": 0.13211632743477822,
+      "num_tokens": 2575467.0,
+      "step": 1410
+    },
+    {
+      "entropy": 6.136318731307983,
+      "epoch": 1.172328086164043,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000498446031715272,
+      "loss": 6.0125,
+      "mean_token_accuracy": 0.13508019223809242,
+      "num_tokens": 2583963.0,
+      "step": 1415
+    },
+    {
+      "entropy": 6.133963680267334,
+      "epoch": 1.1764705882352942,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004984083141709391,
+      "loss": 6.042,
+      "mean_token_accuracy": 0.13524071872234344,
+      "num_tokens": 2593350.0,
+      "step": 1420
+    },
+    {
+      "entropy": 5.975436115264893,
+      "epoch": 1.180613090306545,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000498370145987623,
+      "loss": 5.9652,
+      "mean_token_accuracy": 0.13682079091668128,
+      "num_tokens": 2602191.0,
+      "step": 1425
+    },
+    {
+      "entropy": 6.170718050003051,
+      "epoch": 1.1847555923777962,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004983315272423127,
+      "loss": 6.0999,
+      "mean_token_accuracy": 0.1291058838367462,
+      "num_tokens": 2613590.0,
+      "step": 1430
+    },
+    {
+      "entropy": 6.049332237243652,
+      "epoch": 1.1888980944490473,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004982924580129066,
+      "loss": 5.8895,
+      "mean_token_accuracy": 0.1340464949607849,
+      "num_tokens": 2622072.0,
+      "step": 1435
+    },
+    {
+      "entropy": 6.093293142318726,
+      "epoch": 1.1930405965202984,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004982529383782116,
+      "loss": 6.1012,
+      "mean_token_accuracy": 0.13022035285830497,
+      "num_tokens": 2630904.0,
+      "step": 1440
+    },
+    {
+      "entropy": 6.189996242523193,
+      "epoch": 1.1971830985915493,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004982129684179432,
+      "loss": 6.0594,
+      "mean_token_accuracy": 0.13088259026408194,
+      "num_tokens": 2639925.0,
+      "step": 1445
+    },
+    {
+      "entropy": 6.1187131881713865,
+      "epoch": 1.2013256006628004,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004981725482127251,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.13439981341362,
+      "num_tokens": 2649397.0,
+      "step": 1450
+    },
+    {
+      "entropy": 6.16315655708313,
+      "epoch": 1.2054681027340513,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004981316778440892,
+      "loss": 6.081,
+      "mean_token_accuracy": 0.13515593931078912,
+      "num_tokens": 2658877.0,
+      "step": 1455
+    },
+    {
+      "entropy": 6.063838720321655,
+      "epoch": 1.2096106048053024,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004980903573944756,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13121431767940522,
+      "num_tokens": 2668518.0,
+      "step": 1460
+    },
+    {
+      "entropy": 6.059180212020874,
+      "epoch": 1.2137531068765535,
+      "grad_norm": 1.0078125,
+      "learning_rate": 0.0004980485869472322,
+      "loss": 6.1148,
+      "mean_token_accuracy": 0.12996160089969636,
+      "num_tokens": 2677459.0,
+      "step": 1465
+    },
+    {
+      "entropy": 6.223527908325195,
+      "epoch": 1.2178956089478046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004980063665866143,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12482839822769165,
+      "num_tokens": 2686668.0,
+      "step": 1470
+    },
+    {
+      "entropy": 5.935272264480591,
+      "epoch": 1.2220381110190555,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004979636963977853,
+      "loss": 5.8825,
+      "mean_token_accuracy": 0.1352998949587345,
+      "num_tokens": 2695545.0,
+      "step": 1475
+    },
+    {
+      "entropy": 6.066101598739624,
+      "epoch": 1.2261806130903066,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004979205764668156,
+      "loss": 6.0569,
+      "mean_token_accuracy": 0.13228241056203843,
+      "num_tokens": 2705514.0,
+      "step": 1480
+    },
+    {
+      "entropy": 6.138315343856812,
+      "epoch": 1.2303231151615575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004978770068806825,
+      "loss": 5.9599,
+      "mean_token_accuracy": 0.13136665150523186,
+      "num_tokens": 2714373.0,
+      "step": 1485
+    },
+    {
+      "entropy": 6.061770391464234,
+      "epoch": 1.2344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.000497832987727271,
+      "loss": 6.0715,
+      "mean_token_accuracy": 0.1264137916266918,
+      "num_tokens": 2723887.0,
+      "step": 1490
+    },
+    {
+      "entropy": 6.061756038665772,
+      "epoch": 1.2386081193040597,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004977885190953724,
+      "loss": 5.956,
+      "mean_token_accuracy": 0.13353569880127908,
+      "num_tokens": 2733591.0,
+      "step": 1495
+    },
+    {
+      "entropy": 6.104292392730713,
+      "epoch": 1.2427506213753108,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004977436010746846,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.13720986992120743,
+      "num_tokens": 2741638.0,
+      "step": 1500
+    },
+    {
+      "epoch": 1.2427506213753108,
+      "eval_entropy": 6.029743814773397,
+      "eval_loss": 6.2611613273620605,
+      "eval_mean_token_accuracy": 0.12890694399219332,
+      "eval_num_tokens": 2741638.0,
+      "eval_runtime": 2.9518,
+      "eval_samples_per_second": 1269.399,
+      "eval_steps_per_second": 158.887,
+      "step": 1500
+    },
+    {
+      "entropy": 6.078821802139283,
+      "epoch": 1.2468931234465617,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004976982337558124,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13084649220108985,
+      "num_tokens": 2749711.0,
+      "step": 1505
+    },
+    {
+      "entropy": 6.094208097457885,
+      "epoch": 1.2510356255178128,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004976524172302665,
+      "loss": 6.121,
+      "mean_token_accuracy": 0.13192041367292404,
+      "num_tokens": 2758121.0,
+      "step": 1510
+    },
+    {
+      "entropy": 6.159745693206787,
+      "epoch": 1.2551781275890637,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004976061515904641,
+      "loss": 6.1181,
+      "mean_token_accuracy": 0.12667254582047463,
+      "num_tokens": 2766764.0,
+      "step": 1515
+    },
+    {
+      "entropy": 6.116680526733399,
+      "epoch": 1.2593206296603148,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004975594369297277,
+      "loss": 6.0557,
+      "mean_token_accuracy": 0.1348518520593643,
+      "num_tokens": 2775561.0,
+      "step": 1520
+    },
+    {
+      "entropy": 6.08063235282898,
+      "epoch": 1.2634631317315659,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004975122733422861,
+      "loss": 6.0201,
+      "mean_token_accuracy": 0.13085112273693084,
+      "num_tokens": 2784691.0,
+      "step": 1525
+    },
+    {
+      "entropy": 6.129113435745239,
+      "epoch": 1.267605633802817,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004974646609232732,
+      "loss": 5.9816,
+      "mean_token_accuracy": 0.13641836866736412,
+      "num_tokens": 2793893.0,
+      "step": 1530
+    },
+    {
+      "entropy": 6.108260202407837,
+      "epoch": 1.2717481358740679,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004974165997687288,
+      "loss": 6.0751,
+      "mean_token_accuracy": 0.13353196606040002,
+      "num_tokens": 2804479.0,
+      "step": 1535
+    },
+    {
+      "entropy": 6.16022138595581,
+      "epoch": 1.275890637945319,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004973680899755972,
+      "loss": 6.107,
+      "mean_token_accuracy": 0.1326654002070427,
+      "num_tokens": 2813966.0,
+      "step": 1540
+    },
+    {
+      "entropy": 6.007886743545532,
+      "epoch": 1.2800331400165699,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000497319131641728,
+      "loss": 5.9326,
+      "mean_token_accuracy": 0.13846119418740271,
+      "num_tokens": 2822328.0,
+      "step": 1545
+    },
+    {
+      "entropy": 6.003260755538941,
+      "epoch": 1.284175642087821,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004972697248658755,
+      "loss": 5.8899,
+      "mean_token_accuracy": 0.14066707715392113,
+      "num_tokens": 2829845.0,
+      "step": 1550
+    },
+    {
+      "entropy": 5.948832178115845,
+      "epoch": 1.288318144159072,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004972198697476987,
+      "loss": 5.8783,
+      "mean_token_accuracy": 0.13914238885045052,
+      "num_tokens": 2839040.0,
+      "step": 1555
+    },
+    {
+      "entropy": 5.961882209777832,
+      "epoch": 1.2924606462303232,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004971695663877607,
+      "loss": 5.9665,
+      "mean_token_accuracy": 0.13561231270432472,
+      "num_tokens": 2848574.0,
+      "step": 1560
+    },
+    {
+      "entropy": 6.077086877822876,
+      "epoch": 1.296603148301574,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004971188148875289,
+      "loss": 5.9421,
+      "mean_token_accuracy": 0.14444561377167703,
+      "num_tokens": 2856812.0,
+      "step": 1565
+    },
+    {
+      "entropy": 6.051652336120606,
+      "epoch": 1.3007456503728252,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004970676153493748,
+      "loss": 6.0283,
+      "mean_token_accuracy": 0.13189572617411613,
+      "num_tokens": 2866001.0,
+      "step": 1570
+    },
+    {
+      "entropy": 6.1068840503692625,
+      "epoch": 1.3048881524440763,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004970159678765731,
+      "loss": 6.0164,
+      "mean_token_accuracy": 0.13239546120166779,
+      "num_tokens": 2875181.0,
+      "step": 1575
+    },
+    {
+      "entropy": 6.049808597564697,
+      "epoch": 1.3090306545153272,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004969638725733028,
+      "loss": 5.9587,
+      "mean_token_accuracy": 0.13397156223654746,
+      "num_tokens": 2885103.0,
+      "step": 1580
+    },
+    {
+      "entropy": 5.92131872177124,
+      "epoch": 1.3131731565865783,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004969113295446455,
+      "loss": 5.9116,
+      "mean_token_accuracy": 0.1383065924048424,
+      "num_tokens": 2894055.0,
+      "step": 1585
+    },
+    {
+      "entropy": 6.116864538192749,
+      "epoch": 1.3173156586578294,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004968583388965863,
+      "loss": 5.9846,
+      "mean_token_accuracy": 0.133075200766325,
+      "num_tokens": 2903391.0,
+      "step": 1590
+    },
+    {
+      "entropy": 6.006745624542236,
+      "epoch": 1.3214581607290803,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004968049007360132,
+      "loss": 5.9854,
+      "mean_token_accuracy": 0.13297903537750244,
+      "num_tokens": 2911760.0,
+      "step": 1595
+    },
+    {
+      "entropy": 5.926331329345703,
+      "epoch": 1.3256006628003314,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004967510151707169,
+      "loss": 5.9369,
+      "mean_token_accuracy": 0.13469143435359002,
+      "num_tokens": 2920589.0,
+      "step": 1600
+    },
+    {
+      "entropy": 6.15295524597168,
+      "epoch": 1.3297431648715825,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004966966823093903,
+      "loss": 6.0746,
+      "mean_token_accuracy": 0.1302391268312931,
+      "num_tokens": 2929635.0,
+      "step": 1605
+    },
+    {
+      "entropy": 5.986531114578247,
+      "epoch": 1.3338856669428334,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004966419022616287,
+      "loss": 5.9349,
+      "mean_token_accuracy": 0.13593596145510672,
+      "num_tokens": 2938778.0,
+      "step": 1610
+    },
+    {
+      "entropy": 6.039755535125733,
+      "epoch": 1.3380281690140845,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004965866751379296,
+      "loss": 6.0503,
+      "mean_token_accuracy": 0.13109695687890052,
+      "num_tokens": 2947836.0,
+      "step": 1615
+    },
+    {
+      "entropy": 6.133180904388428,
+      "epoch": 1.3421706710853356,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004965310010496922,
+      "loss": 6.0032,
+      "mean_token_accuracy": 0.1280514419078827,
+      "num_tokens": 2957028.0,
+      "step": 1620
+    },
+    {
+      "entropy": 6.026159048080444,
+      "epoch": 1.3463131731565865,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004964748801092168,
+      "loss": 5.9571,
+      "mean_token_accuracy": 0.1338861681520939,
+      "num_tokens": 2966088.0,
+      "step": 1625
+    },
+    {
+      "entropy": 6.078959226608276,
+      "epoch": 1.3504556752278376,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004964183124297059,
+      "loss": 6.0438,
+      "mean_token_accuracy": 0.13178688064217567,
+      "num_tokens": 2975271.0,
+      "step": 1630
+    },
+    {
+      "entropy": 5.992210865020752,
+      "epoch": 1.3545981772990887,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004963612981252625,
+      "loss": 6.0524,
+      "mean_token_accuracy": 0.1321226365864277,
+      "num_tokens": 2983799.0,
+      "step": 1635
+    },
+    {
+      "entropy": 6.056794929504394,
+      "epoch": 1.3587406793703396,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004963038373108908,
+      "loss": 6.0179,
+      "mean_token_accuracy": 0.13609340488910676,
+      "num_tokens": 2992675.0,
+      "step": 1640
+    },
+    {
+      "entropy": 6.155933427810669,
+      "epoch": 1.3628831814415907,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004962459301024954,
+      "loss": 6.0838,
+      "mean_token_accuracy": 0.13211635649204254,
+      "num_tokens": 3002483.0,
+      "step": 1645
+    },
+    {
+      "entropy": 6.027872896194458,
+      "epoch": 1.3670256835128418,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004961875766168816,
+      "loss": 5.985,
+      "mean_token_accuracy": 0.13883458971977233,
+      "num_tokens": 3010611.0,
+      "step": 1650
+    },
+    {
+      "entropy": 6.057289028167725,
+      "epoch": 1.371168185584093,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004961287769717547,
+      "loss": 5.9397,
+      "mean_token_accuracy": 0.13197456523776055,
+      "num_tokens": 3019928.0,
+      "step": 1655
+    },
+    {
+      "entropy": 5.9325989246368405,
+      "epoch": 1.3753106876553438,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004960695312857199,
+      "loss": 5.9279,
+      "mean_token_accuracy": 0.13408055454492568,
+      "num_tokens": 3029003.0,
+      "step": 1660
+    },
+    {
+      "entropy": 6.0389604568481445,
+      "epoch": 1.379453189726595,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004960098396782824,
+      "loss": 5.9464,
+      "mean_token_accuracy": 0.1375861033797264,
+      "num_tokens": 3038049.0,
+      "step": 1665
+    },
+    {
+      "entropy": 5.969662141799927,
+      "epoch": 1.3835956917978458,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004959497022698466,
+      "loss": 5.9515,
+      "mean_token_accuracy": 0.14408120438456534,
+      "num_tokens": 3046674.0,
+      "step": 1670
+    },
+    {
+      "entropy": 6.0561059474945065,
+      "epoch": 1.387738193869097,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004958891191817163,
+      "loss": 5.9927,
+      "mean_token_accuracy": 0.12801324650645257,
+      "num_tokens": 3056459.0,
+      "step": 1675
+    },
+    {
+      "entropy": 6.032327270507812,
+      "epoch": 1.391880695940348,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000495828090536094,
+      "loss": 5.9845,
+      "mean_token_accuracy": 0.13036760538816453,
+      "num_tokens": 3066294.0,
+      "step": 1680
+    },
+    {
+      "entropy": 6.0512574195861815,
+      "epoch": 1.3960231980115991,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004957666164560815,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13139644563198088,
+      "num_tokens": 3075420.0,
+      "step": 1685
+    },
+    {
+      "entropy": 6.063203239440918,
+      "epoch": 1.40016570008285,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004957046970656784,
+      "loss": 6.0385,
+      "mean_token_accuracy": 0.13581736162304878,
+      "num_tokens": 3084373.0,
+      "step": 1690
+    },
+    {
+      "entropy": 6.00097541809082,
+      "epoch": 1.4043082021541011,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004956423324897831,
+      "loss": 6.0257,
+      "mean_token_accuracy": 0.13937310948967935,
+      "num_tokens": 3094212.0,
+      "step": 1695
+    },
+    {
+      "entropy": 6.043115425109863,
+      "epoch": 1.408450704225352,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004955795228541917,
+      "loss": 5.9589,
+      "mean_token_accuracy": 0.14452596232295037,
+      "num_tokens": 3102769.0,
+      "step": 1700
+    },
+    {
+      "entropy": 6.040110731124878,
+      "epoch": 1.4125932062966031,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000495516268285598,
+      "loss": 5.9805,
+      "mean_token_accuracy": 0.13440805301070213,
+      "num_tokens": 3111465.0,
+      "step": 1705
+    },
+    {
+      "entropy": 5.978239822387695,
+      "epoch": 1.4167357083678542,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004954525689115935,
+      "loss": 5.9177,
+      "mean_token_accuracy": 0.13326097056269645,
+      "num_tokens": 3121106.0,
+      "step": 1710
+    },
+    {
+      "entropy": 6.007881164550781,
+      "epoch": 1.4208782104391053,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004953884248606669,
+      "loss": 5.945,
+      "mean_token_accuracy": 0.14831372052431108,
+      "num_tokens": 3130662.0,
+      "step": 1715
+    },
+    {
+      "entropy": 5.97642674446106,
+      "epoch": 1.4250207125103562,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004953238362622034,
+      "loss": 5.9812,
+      "mean_token_accuracy": 0.13328263983130456,
+      "num_tokens": 3139538.0,
+      "step": 1720
+    },
+    {
+      "entropy": 6.0256367206573485,
+      "epoch": 1.4291632145816073,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004952588032464855,
+      "loss": 6.0298,
+      "mean_token_accuracy": 0.12707214802503586,
+      "num_tokens": 3148552.0,
+      "step": 1725
+    },
+    {
+      "entropy": 5.996851205825806,
+      "epoch": 1.4333057166528582,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004951933259446919,
+      "loss": 5.9365,
+      "mean_token_accuracy": 0.14197203740477563,
+      "num_tokens": 3156549.0,
+      "step": 1730
+    },
+    {
+      "entropy": 6.114988136291504,
+      "epoch": 1.4374482187241093,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004951274044888975,
+      "loss": 6.1006,
+      "mean_token_accuracy": 0.12147112190723419,
+      "num_tokens": 3166821.0,
+      "step": 1735
+    },
+    {
+      "entropy": 5.960144329071045,
+      "epoch": 1.4415907207953604,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004950610390120731,
+      "loss": 5.9848,
+      "mean_token_accuracy": 0.135729306191206,
+      "num_tokens": 3174962.0,
+      "step": 1740
+    },
+    {
+      "entropy": 6.087535095214844,
+      "epoch": 1.4457332228666115,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000494994229648085,
+      "loss": 5.8903,
+      "mean_token_accuracy": 0.13537728488445283,
+      "num_tokens": 3184027.0,
+      "step": 1745
+    },
+    {
+      "entropy": 5.957475805282593,
+      "epoch": 1.4498757249378624,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004949269765316948,
+      "loss": 6.0321,
+      "mean_token_accuracy": 0.13071285635232927,
+      "num_tokens": 3193186.0,
+      "step": 1750
+    },
+    {
+      "entropy": 6.171153354644775,
+      "epoch": 1.4540182270091135,
+      "grad_norm": 2.140625,
+      "learning_rate": 0.0004948592797985599,
+      "loss": 6.0525,
+      "mean_token_accuracy": 0.13555259853601456,
+      "num_tokens": 3202676.0,
+      "step": 1755
+    },
+    {
+      "entropy": 6.123908805847168,
+      "epoch": 1.4581607290803644,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947911395852317,
+      "loss": 6.1524,
+      "mean_token_accuracy": 0.1352410912513733,
+      "num_tokens": 3211950.0,
+      "step": 1760
+    },
+    {
+      "entropy": 6.120599699020386,
+      "epoch": 1.4623032311516155,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947225560291565,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12961760386824608,
+      "num_tokens": 3221135.0,
+      "step": 1765
+    },
+    {
+      "entropy": 5.962483358383179,
+      "epoch": 1.4664457332228666,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004946535292686746,
+      "loss": 5.8975,
+      "mean_token_accuracy": 0.13825839310884475,
+      "num_tokens": 3230174.0,
+      "step": 1770
+    },
+    {
+      "entropy": 5.979943370819091,
+      "epoch": 1.4705882352941178,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004945840594430209,
+      "loss": 5.8871,
+      "mean_token_accuracy": 0.1381668671965599,
+      "num_tokens": 3238898.0,
+      "step": 1775
+    },
+    {
+      "entropy": 5.973515844345092,
+      "epoch": 1.4747307373653686,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004945141466923235,
+      "loss": 5.9292,
+      "mean_token_accuracy": 0.14479121565818787,
+      "num_tokens": 3247550.0,
+      "step": 1780
+    },
+    {
+      "entropy": 6.113377714157105,
+      "epoch": 1.4788732394366197,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004944437911576041,
+      "loss": 6.0779,
+      "mean_token_accuracy": 0.12900342419743538,
+      "num_tokens": 3256810.0,
+      "step": 1785
+    },
+    {
+      "entropy": 5.9020613670349125,
+      "epoch": 1.4830157415078706,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004943729929807772,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.139550269395113,
+      "num_tokens": 3265886.0,
+      "step": 1790
+    },
+    {
+      "entropy": 6.06021089553833,
+      "epoch": 1.4871582435791217,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004943017523046507,
+      "loss": 5.9273,
+      "mean_token_accuracy": 0.137468421459198,
+      "num_tokens": 3274522.0,
+      "step": 1795
+    },
+    {
+      "entropy": 6.027210426330567,
+      "epoch": 1.4913007456503728,
+      "grad_norm": 1.25,
+      "learning_rate": 0.000494230069272925,
+      "loss": 6.0486,
+      "mean_token_accuracy": 0.13558472618460654,
+      "num_tokens": 3283388.0,
+      "step": 1800
+    },
+    {
+      "entropy": 5.989331531524658,
+      "epoch": 1.495443247721624,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004941579440301923,
+      "loss": 5.9224,
+      "mean_token_accuracy": 0.1305856943130493,
+      "num_tokens": 3291887.0,
+      "step": 1805
+    },
+    {
+      "entropy": 5.96136965751648,
+      "epoch": 1.4995857497928748,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940853767219372,
+      "loss": 5.9685,
+      "mean_token_accuracy": 0.13564062863588333,
+      "num_tokens": 3300674.0,
+      "step": 1810
+    },
+    {
+      "entropy": 5.9364429950714115,
+      "epoch": 1.503728251864126,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940123674945359,
+      "loss": 5.8311,
+      "mean_token_accuracy": 0.13808463513851166,
+      "num_tokens": 3309745.0,
+      "step": 1815
+    },
+    {
+      "entropy": 6.076629638671875,
+      "epoch": 1.5078707539353768,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004939389164952561,
+      "loss": 5.9722,
+      "mean_token_accuracy": 0.1378110609948635,
+      "num_tokens": 3318888.0,
+      "step": 1820
+    },
+    {
+      "entropy": 5.8970863819122314,
+      "epoch": 1.512013256006628,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004938650238722564,
+      "loss": 5.9296,
+      "mean_token_accuracy": 0.13823849260807036,
+      "num_tokens": 3328274.0,
+      "step": 1825
+    },
+    {
+      "entropy": 6.003948831558228,
+      "epoch": 1.516155758077879,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004937906897745861,
+      "loss": 5.9387,
+      "mean_token_accuracy": 0.1468382939696312,
+      "num_tokens": 3337579.0,
+      "step": 1830
+    },
+    {
+      "entropy": 6.045965003967285,
+      "epoch": 1.5202982601491302,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004937159143521856,
+      "loss": 5.9081,
+      "mean_token_accuracy": 0.14555162489414214,
+      "num_tokens": 3346262.0,
+      "step": 1835
+    },
+    {
+      "entropy": 5.972390079498291,
+      "epoch": 1.5244407622203813,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004936406977558847,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.13030771315097808,
+      "num_tokens": 3354833.0,
+      "step": 1840
+    },
+    {
+      "entropy": 6.051387977600098,
+      "epoch": 1.5285832642916322,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004935650401374039,
+      "loss": 6.0906,
+      "mean_token_accuracy": 0.14119647368788718,
+      "num_tokens": 3364314.0,
+      "step": 1845
+    },
+    {
+      "entropy": 6.046140813827515,
+      "epoch": 1.532725766362883,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004934889416493524,
+      "loss": 5.9157,
+      "mean_token_accuracy": 0.13524662256240844,
+      "num_tokens": 3373648.0,
+      "step": 1850
+    },
+    {
+      "entropy": 5.863892507553101,
+      "epoch": 1.5368682684341342,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004934124024452295,
+      "loss": 5.7869,
+      "mean_token_accuracy": 0.1471114367246628,
+      "num_tokens": 3382919.0,
+      "step": 1855
+    },
+    {
+      "entropy": 5.888700532913208,
+      "epoch": 1.5410107705053853,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004933354226794232,
+      "loss": 5.9383,
+      "mean_token_accuracy": 0.1432707317173481,
+      "num_tokens": 3391814.0,
+      "step": 1860
+    },
+    {
+      "entropy": 6.080925798416137,
+      "epoch": 1.5451532725766364,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004932580025072098,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.13580586463212968,
+      "num_tokens": 3400392.0,
+      "step": 1865
+    },
+    {
+      "entropy": 5.996384525299073,
+      "epoch": 1.5492957746478875,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004931801420847545,
+      "loss": 6.036,
+      "mean_token_accuracy": 0.13089759424328803,
+      "num_tokens": 3410430.0,
+      "step": 1870
+    },
+    {
+      "entropy": 5.932257795333863,
+      "epoch": 1.5534382767191384,
+      "grad_norm": 0.9609375,
+      "learning_rate": 0.0004931018415691102,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.13694921880960464,
+      "num_tokens": 3420654.0,
+      "step": 1875
+    },
+    {
+      "entropy": 5.951343011856079,
+      "epoch": 1.5575807787903893,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004930231011182176,
+      "loss": 5.9986,
+      "mean_token_accuracy": 0.13937177062034606,
+      "num_tokens": 3430514.0,
+      "step": 1880
+    },
+    {
+      "entropy": 6.071512508392334,
+      "epoch": 1.5617232808616404,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004929439208909048,
+      "loss": 5.9331,
+      "mean_token_accuracy": 0.1375361390411854,
+      "num_tokens": 3439551.0,
+      "step": 1885
+    },
+    {
+      "entropy": 5.902947330474854,
+      "epoch": 1.5658657829328915,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004928643010468869,
+      "loss": 5.8911,
+      "mean_token_accuracy": 0.13622887432575226,
+      "num_tokens": 3448160.0,
+      "step": 1890
+    },
+    {
+      "entropy": 5.993059539794922,
+      "epoch": 1.5700082850041426,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004927842417467659,
+      "loss": 5.9517,
+      "mean_token_accuracy": 0.14548188596963882,
+      "num_tokens": 3457296.0,
+      "step": 1895
+    },
+    {
+      "entropy": 6.027637386322022,
+      "epoch": 1.5741507870753937,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004927037431520302,
+      "loss": 5.9073,
+      "mean_token_accuracy": 0.14102519080042838,
+      "num_tokens": 3466108.0,
+      "step": 1900
+    },
+    {
+      "entropy": 5.975209665298462,
+      "epoch": 1.5782932891466446,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004926228054250541,
+      "loss": 5.9941,
+      "mean_token_accuracy": 0.14009249955415726,
+      "num_tokens": 3475336.0,
+      "step": 1905
+    },
+    {
+      "entropy": 6.073916673660278,
+      "epoch": 1.5824357912178955,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004925414287290979,
+      "loss": 5.9668,
+      "mean_token_accuracy": 0.13723743334412575,
+      "num_tokens": 3483963.0,
+      "step": 1910
+    },
+    {
+      "entropy": 5.848618030548096,
+      "epoch": 1.5865782932891466,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004924596132283075,
+      "loss": 5.8765,
+      "mean_token_accuracy": 0.14485997408628465,
+      "num_tokens": 3492947.0,
+      "step": 1915
+    },
+    {
+      "entropy": 5.966853284835816,
+      "epoch": 1.5907207953603977,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004923773590877135,
+      "loss": 5.9651,
+      "mean_token_accuracy": 0.13334692791104316,
+      "num_tokens": 3501877.0,
+      "step": 1920
+    },
+    {
+      "entropy": 6.042904996871949,
+      "epoch": 1.5948632974316488,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004922946664732314,
+      "loss": 6.0304,
+      "mean_token_accuracy": 0.13204361274838447,
+      "num_tokens": 3510610.0,
+      "step": 1925
+    },
+    {
+      "entropy": 6.0583656311035154,
+      "epoch": 1.5990057995029,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004922115355516615,
+      "loss": 5.9841,
+      "mean_token_accuracy": 0.13304307833313941,
+      "num_tokens": 3519829.0,
+      "step": 1930
+    },
+    {
+      "entropy": 6.015839862823486,
+      "epoch": 1.6031483015741508,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004921279664906877,
+      "loss": 5.9661,
+      "mean_token_accuracy": 0.13071200698614122,
+      "num_tokens": 3529408.0,
+      "step": 1935
+    },
+    {
+      "entropy": 5.924501991271972,
+      "epoch": 1.6072908036454017,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004920439594588781,
+      "loss": 5.8955,
+      "mean_token_accuracy": 0.14675913602113724,
+      "num_tokens": 3538068.0,
+      "step": 1940
+    },
+    {
+      "entropy": 6.051935148239136,
+      "epoch": 1.6114333057166528,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000491959514625684,
+      "loss": 6.0177,
+      "mean_token_accuracy": 0.13845598921179772,
+      "num_tokens": 3547302.0,
+      "step": 1945
+    },
+    {
+      "entropy": 5.956210565567017,
+      "epoch": 1.6155758077879039,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00049187463216144,
+      "loss": 5.9024,
+      "mean_token_accuracy": 0.145584287494421,
+      "num_tokens": 3556087.0,
+      "step": 1950
+    },
+    {
+      "entropy": 6.046857452392578,
+      "epoch": 1.619718309859155,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.000491789312237363,
+      "loss": 5.9857,
+      "mean_token_accuracy": 0.13579782098531723,
+      "num_tokens": 3566235.0,
+      "step": 1955
+    },
+    {
+      "entropy": 5.983897924423218,
+      "epoch": 1.623860811930406,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004917035550255528,
+      "loss": 5.899,
+      "mean_token_accuracy": 0.14092317298054696,
+      "num_tokens": 3574762.0,
+      "step": 1960
+    },
+    {
+      "entropy": 5.904513597488403,
+      "epoch": 1.628003314001657,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000491617360698991,
+      "loss": 5.8837,
+      "mean_token_accuracy": 0.139695380628109,
+      "num_tokens": 3583359.0,
+      "step": 1965
+    },
+    {
+      "entropy": 5.920687866210938,
+      "epoch": 1.6321458160729079,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004915307294315412,
+      "loss": 5.8505,
+      "mean_token_accuracy": 0.14011457338929176,
+      "num_tokens": 3591436.0,
+      "step": 1970
+    },
+    {
+      "entropy": 5.926318550109864,
+      "epoch": 1.636288318144159,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.000491443661397948,
+      "loss": 5.9355,
+      "mean_token_accuracy": 0.13468224480748175,
+      "num_tokens": 3601054.0,
+      "step": 1975
+    },
+    {
+      "entropy": 5.974443817138672,
+      "epoch": 1.64043082021541,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004913561567738368,
+      "loss": 5.9014,
+      "mean_token_accuracy": 0.1383673779666424,
+      "num_tokens": 3610641.0,
+      "step": 1980
+    },
+    {
+      "entropy": 5.912512636184692,
+      "epoch": 1.6445733222866612,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004912682157357146,
+      "loss": 5.8447,
+      "mean_token_accuracy": 0.13975749984383584,
+      "num_tokens": 3619351.0,
+      "step": 1985
+    },
+    {
+      "entropy": 5.853101539611816,
+      "epoch": 1.6487158243579123,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004911798384609675,
+      "loss": 5.8306,
+      "mean_token_accuracy": 0.1472959376871586,
+      "num_tokens": 3627341.0,
+      "step": 1990
+    },
+    {
+      "entropy": 5.942045879364014,
+      "epoch": 1.6528583264291632,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004910910251278626,
+      "loss": 5.8918,
+      "mean_token_accuracy": 0.14801610112190247,
+      "num_tokens": 3637132.0,
+      "step": 1995
+    },
+    {
+      "entropy": 5.919465351104736,
+      "epoch": 1.6570008285004143,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004910017759155458,
+      "loss": 5.9479,
+      "mean_token_accuracy": 0.1400071859359741,
+      "num_tokens": 3646196.0,
+      "step": 2000
+    },
+    {
+      "epoch": 1.6570008285004143,
+      "eval_entropy": 5.874394122979789,
+      "eval_loss": 6.1148576736450195,
+      "eval_mean_token_accuracy": 0.1363023624046525,
+      "eval_num_tokens": 3646196.0,
+      "eval_runtime": 2.7574,
+      "eval_samples_per_second": 1358.871,
+      "eval_steps_per_second": 170.085,
+      "step": 2000
+    },
+    {
+      "entropy": 5.967284250259399,
+      "epoch": 1.6611433305716652,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004909120910040427,
+      "loss": 5.8839,
+      "mean_token_accuracy": 0.1461731344461441,
+      "num_tokens": 3654658.0,
+      "step": 2005
+    },
+    {
+      "entropy": 6.045904684066772,
+      "epoch": 1.6652858326429163,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004908219705742574,
+      "loss": 6.1605,
+      "mean_token_accuracy": 0.13489469960331918,
+      "num_tokens": 3664509.0,
+      "step": 2010
+    },
+    {
+      "entropy": 6.002130031585693,
+      "epoch": 1.6694283347141674,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004907314148079727,
+      "loss": 5.8567,
+      "mean_token_accuracy": 0.1425239197909832,
+      "num_tokens": 3672983.0,
+      "step": 2015
+    },
+    {
+      "entropy": 5.708412790298462,
+      "epoch": 1.6735708367854185,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004906404238878496,
+      "loss": 5.7221,
+      "mean_token_accuracy": 0.14639501571655272,
+      "num_tokens": 3681196.0,
+      "step": 2020
+    },
+    {
+      "entropy": 5.97982873916626,
+      "epoch": 1.6777133388566694,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004905489979974265,
+      "loss": 5.9098,
+      "mean_token_accuracy": 0.14081615954637527,
+      "num_tokens": 3690077.0,
+      "step": 2025
+    },
+    {
+      "entropy": 5.942774772644043,
+      "epoch": 1.6818558409279205,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004904571373211197,
+      "loss": 5.9906,
+      "mean_token_accuracy": 0.13563016131520272,
+      "num_tokens": 3700121.0,
+      "step": 2030
+    },
+    {
+      "entropy": 5.897730588912964,
+      "epoch": 1.6859983429991714,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000490364842044222,
+      "loss": 5.8074,
+      "mean_token_accuracy": 0.14530285224318504,
+      "num_tokens": 3709618.0,
+      "step": 2035
+    },
+    {
+      "entropy": 5.954602289199829,
+      "epoch": 1.6901408450704225,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004902721123529031,
+      "loss": 5.9869,
+      "mean_token_accuracy": 0.12953415215015412,
+      "num_tokens": 3719570.0,
+      "step": 2040
+    },
+    {
+      "entropy": 6.074023342132568,
+      "epoch": 1.6942833471416736,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000490178948434209,
+      "loss": 5.9267,
+      "mean_token_accuracy": 0.14249598532915114,
+      "num_tokens": 3729354.0,
+      "step": 2045
+    },
+    {
+      "entropy": 5.833365964889526,
+      "epoch": 1.6984258492129247,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004900853504760614,
+      "loss": 5.8409,
+      "mean_token_accuracy": 0.14450331926345825,
+      "num_tokens": 3738453.0,
+      "step": 2050
+    },
+    {
+      "entropy": 5.888468265533447,
+      "epoch": 1.7025683512841756,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004899913186672577,
+      "loss": 5.8165,
+      "mean_token_accuracy": 0.14293194860219954,
+      "num_tokens": 3747815.0,
+      "step": 2055
+    },
+    {
+      "entropy": 5.914711236953735,
+      "epoch": 1.7067108533554267,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004898968531974702,
+      "loss": 5.9249,
+      "mean_token_accuracy": 0.14642315953969956,
+      "num_tokens": 3757298.0,
+      "step": 2060
+    },
+    {
+      "entropy": 5.978992033004761,
+      "epoch": 1.7108533554266776,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004898019542572462,
+      "loss": 5.9124,
+      "mean_token_accuracy": 0.14719650894403458,
+      "num_tokens": 3765939.0,
+      "step": 2065
+    },
+    {
+      "entropy": 6.005469894409179,
+      "epoch": 1.7149958574979287,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004897066220380073,
+      "loss": 5.933,
+      "mean_token_accuracy": 0.13779435828328132,
+      "num_tokens": 3775160.0,
+      "step": 2070
+    },
+    {
+      "entropy": 5.921374797821045,
+      "epoch": 1.7191383595691798,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004896108567320489,
+      "loss": 5.831,
+      "mean_token_accuracy": 0.14186858981847764,
+      "num_tokens": 3785181.0,
+      "step": 2075
+    },
+    {
+      "entropy": 5.972924375534058,
+      "epoch": 1.723280861640431,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048951465853254,
+      "loss": 5.9444,
+      "mean_token_accuracy": 0.14323145076632499,
+      "num_tokens": 3794531.0,
+      "step": 2080
+    },
+    {
+      "entropy": 5.953138160705566,
+      "epoch": 1.7274233637116818,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004894180276335231,
+      "loss": 5.934,
+      "mean_token_accuracy": 0.1396125227212906,
+      "num_tokens": 3804602.0,
+      "step": 2085
+    },
+    {
+      "entropy": 5.9721667766571045,
+      "epoch": 1.731565865782933,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004893209642299132,
+      "loss": 5.97,
+      "mean_token_accuracy": 0.1395590640604496,
+      "num_tokens": 3813394.0,
+      "step": 2090
+    },
+    {
+      "entropy": 5.97849326133728,
+      "epoch": 1.7357083678541838,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004892234685174976,
+      "loss": 5.962,
+      "mean_token_accuracy": 0.13808128908276557,
+      "num_tokens": 3821604.0,
+      "step": 2095
+    },
+    {
+      "entropy": 5.967495775222778,
+      "epoch": 1.739850869925435,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004891255406929359,
+      "loss": 5.9564,
+      "mean_token_accuracy": 0.13652343899011612,
+      "num_tokens": 3831977.0,
+      "step": 2100
+    },
+    {
+      "entropy": 5.98737063407898,
+      "epoch": 1.743993371996686,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004890271809537595,
+      "loss": 5.9017,
+      "mean_token_accuracy": 0.1393343411386013,
+      "num_tokens": 3840684.0,
+      "step": 2105
+    },
+    {
+      "entropy": 5.870862340927124,
+      "epoch": 1.7481358740679371,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004889283894983704,
+      "loss": 5.8147,
+      "mean_token_accuracy": 0.1389534741640091,
+      "num_tokens": 3851147.0,
+      "step": 2110
+    },
+    {
+      "entropy": 6.002704238891601,
+      "epoch": 1.752278376139188,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000488829166526042,
+      "loss": 5.9838,
+      "mean_token_accuracy": 0.13991605415940284,
+      "num_tokens": 3859881.0,
+      "step": 2115
+    },
+    {
+      "entropy": 5.948231506347656,
+      "epoch": 1.7564208782104391,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004887295122369176,
+      "loss": 6.0107,
+      "mean_token_accuracy": 0.13371825441718102,
+      "num_tokens": 3870151.0,
+      "step": 2120
+    },
+    {
+      "entropy": 5.99525203704834,
+      "epoch": 1.76056338028169,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.000488629426832011,
+      "loss": 5.9313,
+      "mean_token_accuracy": 0.13850879445672035,
+      "num_tokens": 3878398.0,
+      "step": 2125
+    },
+    {
+      "entropy": 5.924004030227661,
+      "epoch": 1.7647058823529411,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004885289105132054,
+      "loss": 5.8893,
+      "mean_token_accuracy": 0.14114601090550422,
+      "num_tokens": 3888007.0,
+      "step": 2130
+    },
+    {
+      "entropy": 5.930246257781983,
+      "epoch": 1.7688483844241922,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004884279634832532,
+      "loss": 5.8728,
+      "mean_token_accuracy": 0.14278061985969542,
+      "num_tokens": 3896945.0,
+      "step": 2135
+    },
+    {
+      "entropy": 5.940092372894287,
+      "epoch": 1.7729908864954433,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004883265859457754,
+      "loss": 5.8905,
+      "mean_token_accuracy": 0.1457919418811798,
+      "num_tokens": 3906049.0,
+      "step": 2140
+    },
+    {
+      "entropy": 5.866062164306641,
+      "epoch": 1.7771333885666944,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048822477810526186,
+      "loss": 5.8422,
+      "mean_token_accuracy": 0.1388966679573059,
+      "num_tokens": 3915050.0,
+      "step": 2145
+    },
+    {
+      "entropy": 5.966696119308471,
+      "epoch": 1.7812758906379453,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00048812254016706994,
+      "loss": 5.9205,
+      "mean_token_accuracy": 0.14728582575917243,
+      "num_tokens": 3924031.0,
+      "step": 2150
+    },
+    {
+      "entropy": 5.915832757949829,
+      "epoch": 1.7854183927091962,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004880198723374247,
+      "loss": 5.9776,
+      "mean_token_accuracy": 0.14149753525853156,
+      "num_tokens": 3933756.0,
+      "step": 2155
+    },
+    {
+      "entropy": 5.959774684906006,
+      "epoch": 1.7895608947804473,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048791677482341845,
+      "loss": 5.9592,
+      "mean_token_accuracy": 0.13750381171703338,
+      "num_tokens": 3943129.0,
+      "step": 2160
+    },
+    {
+      "entropy": 5.881538438796997,
+      "epoch": 1.7937033968516984,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048781324783301016,
+      "loss": 5.7912,
+      "mean_token_accuracy": 0.14508036673069,
+      "num_tokens": 3951494.0,
+      "step": 2165
+    },
+    {
+      "entropy": 5.946735525131226,
+      "epoch": 1.7978458989229495,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048770929157502505,
+      "loss": 5.9565,
+      "mean_token_accuracy": 0.143115097284317,
+      "num_tokens": 3960588.0,
+      "step": 2170
+    },
+    {
+      "entropy": 5.9805809497833256,
+      "epoch": 1.8019884009942007,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004876049062591543,
+      "loss": 5.9226,
+      "mean_token_accuracy": 0.13506680428981782,
+      "num_tokens": 3970135.0,
+      "step": 2175
+    },
+    {
+      "entropy": 5.950060653686523,
+      "epoch": 1.8061309030654515,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048750009209595443,
+      "loss": 5.9042,
+      "mean_token_accuracy": 0.13944360390305519,
+      "num_tokens": 3979569.0,
+      "step": 2180
+    },
+    {
+      "entropy": 5.88271656036377,
+      "epoch": 1.8102734051367024,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048739484929684714,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.144245932251215,
+      "num_tokens": 3987885.0,
+      "step": 2185
+    },
+    {
+      "entropy": 5.933677864074707,
+      "epoch": 1.8144159072079535,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048728917807411856,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.13125594183802605,
+      "num_tokens": 3997726.0,
+      "step": 2190
+    },
+    {
+      "entropy": 6.008653068542481,
+      "epoch": 1.8185584092792046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004871830786409191,
+      "loss": 5.8436,
+      "mean_token_accuracy": 0.14898036047816277,
+      "num_tokens": 4006437.0,
+      "step": 2195
+    },
+    {
+      "entropy": 5.856683444976807,
+      "epoch": 1.8227009113504558,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00048707655121126296,
+      "loss": 5.8124,
+      "mean_token_accuracy": 0.14927435666322708,
+      "num_tokens": 4015326.0,
+      "step": 2200
+    },
+    {
+      "entropy": 5.924995994567871,
+      "epoch": 1.8268434134217069,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048696959600002767,
+      "loss": 5.8722,
+      "mean_token_accuracy": 0.14032577201724053,
+      "num_tokens": 4024294.0,
+      "step": 2205
+    },
+    {
+      "entropy": 5.881852293014527,
+      "epoch": 1.8309859154929577,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048686221322295347,
+      "loss": 5.9028,
+      "mean_token_accuracy": 0.14340249821543694,
+      "num_tokens": 4033341.0,
+      "step": 2210
+    },
+    {
+      "entropy": 5.951443433761597,
+      "epoch": 1.8351284175642086,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048675440309664314,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.1474481076002121,
+      "num_tokens": 4042446.0,
+      "step": 2215
+    },
+    {
+      "entropy": 5.832607173919678,
+      "epoch": 1.8392709196354597,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00048664616583856166,
+      "loss": 5.8924,
+      "mean_token_accuracy": 0.13868724405765534,
+      "num_tokens": 4051849.0,
+      "step": 2220
+    },
+    {
+      "entropy": 6.026660823822022,
+      "epoch": 1.8434134217067109,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00048653750166703516,
+      "loss": 5.9855,
+      "mean_token_accuracy": 0.1381051518023014,
+      "num_tokens": 4061075.0,
+      "step": 2225
+    },
+    {
+      "entropy": 5.976817560195923,
+      "epoch": 1.847555923777962,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004864284108012513,
+      "loss": 5.9524,
+      "mean_token_accuracy": 0.13498588278889656,
+      "num_tokens": 4071022.0,
+      "step": 2230
+    },
+    {
+      "entropy": 5.884273719787598,
+      "epoch": 1.851698425849213,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004863188934612583,
+      "loss": 5.854,
+      "mean_token_accuracy": 0.1435965158045292,
+      "num_tokens": 4080728.0,
+      "step": 2235
+    },
+    {
+      "entropy": 5.8848789691925045,
+      "epoch": 1.855840927920464,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004862089498679645,
+      "loss": 5.8121,
+      "mean_token_accuracy": 0.15146355628967284,
+      "num_tokens": 4088712.0,
+      "step": 2240
+    },
+    {
+      "entropy": 5.904728364944458,
+      "epoch": 1.8599834299917148,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004860985802431383,
+      "loss": 5.8445,
+      "mean_token_accuracy": 0.14107747822999955,
+      "num_tokens": 4097488.0,
+      "step": 2245
+    },
+    {
+      "entropy": 5.815548610687256,
+      "epoch": 1.864125932062966,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004859877848094071,
+      "loss": 5.8328,
+      "mean_token_accuracy": 0.14647450745105745,
+      "num_tokens": 4106485.0,
+      "step": 2250
+    },
+    {
+      "entropy": 5.969652986526489,
+      "epoch": 1.868268434134217,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004858765637902575,
+      "loss": 5.8016,
+      "mean_token_accuracy": 0.14588006138801574,
+      "num_tokens": 4115806.0,
+      "step": 2255
+    },
+    {
+      "entropy": 5.982199335098267,
+      "epoch": 1.8724109362054682,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004857649174100344,
+      "loss": 5.9353,
+      "mean_token_accuracy": 0.14478921219706536,
+      "num_tokens": 4124636.0,
+      "step": 2260
+    },
+    {
+      "entropy": 5.869907474517822,
+      "epoch": 1.8765534382767193,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.0004856528458939409,
+      "loss": 5.8948,
+      "mean_token_accuracy": 0.13403457626700402,
+      "num_tokens": 4133876.0,
+      "step": 2265
+    },
+    {
+      "entropy": 5.836872100830078,
+      "epoch": 1.8806959403479702,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004855403494680373,
+      "loss": 5.8159,
+      "mean_token_accuracy": 0.14096100330352784,
+      "num_tokens": 4143555.0,
+      "step": 2270
+    },
+    {
+      "entropy": 5.871636962890625,
+      "epoch": 1.884838442419221,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00048542742835924133,
+      "loss": 5.7773,
+      "mean_token_accuracy": 0.14253296032547952,
+      "num_tokens": 4153007.0,
+      "step": 2275
+    },
+    {
+      "entropy": 5.766701364517212,
+      "epoch": 1.8889809444904722,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048531408279532705,
+      "loss": 5.8171,
+      "mean_token_accuracy": 0.14552054405212403,
+      "num_tokens": 4162107.0,
+      "step": 2280
+    },
+    {
+      "entropy": 5.884533357620239,
+      "epoch": 1.8931234465617233,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048520031300492507,
+      "loss": 5.8208,
+      "mean_token_accuracy": 0.14203491136431695,
+      "num_tokens": 4170920.0,
+      "step": 2285
+    },
+    {
+      "entropy": 5.9367118835449215,
+      "epoch": 1.8972659486329744,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048508611921752124,
+      "loss": 5.8366,
+      "mean_token_accuracy": 0.14547978863120078,
+      "num_tokens": 4180226.0,
+      "step": 2290
+    },
+    {
+      "entropy": 5.804201984405518,
+      "epoch": 1.9014084507042255,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00048497150166345703,
+      "loss": 5.7799,
+      "mean_token_accuracy": 0.14307984560728074,
+      "num_tokens": 4189283.0,
+      "step": 2295
+    },
+    {
+      "entropy": 5.833661937713623,
+      "epoch": 1.9055509527754764,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004848564605739287,
+      "loss": 5.8181,
+      "mean_token_accuracy": 0.14286661818623542,
+      "num_tokens": 4199017.0,
+      "step": 2300
+    },
+    {
+      "entropy": 5.985245418548584,
+      "epoch": 1.9096934548467275,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048474099618098644,
+      "loss": 5.9557,
+      "mean_token_accuracy": 0.13776218444108962,
+      "num_tokens": 4207756.0,
+      "step": 2305
+    },
+    {
+      "entropy": 5.926583385467529,
+      "epoch": 1.9138359569179784,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004846251087175348,
+      "loss": 5.8467,
+      "mean_token_accuracy": 0.14270823299884797,
+      "num_tokens": 4216721.0,
+      "step": 2310
+    },
+    {
+      "entropy": 5.816466999053955,
+      "epoch": 1.9179784589892295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004845087984173312,
+      "loss": 5.8214,
+      "mean_token_accuracy": 0.14952016696333886,
+      "num_tokens": 4225596.0,
+      "step": 2315
+    },
+    {
+      "entropy": 5.975145244598389,
+      "epoch": 1.9221209610604806,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048439206551498644,
+      "loss": 5.8881,
+      "mean_token_accuracy": 0.14604572355747222,
+      "num_tokens": 4234500.0,
+      "step": 2320
+    },
+    {
+      "entropy": 5.83410792350769,
+      "epoch": 1.9262634631317317,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004842749102459635,
+      "loss": 5.8331,
+      "mean_token_accuracy": 0.14477182626724244,
+      "num_tokens": 4243240.0,
+      "step": 2325
+    },
+    {
+      "entropy": 5.799895906448365,
+      "epoch": 1.9304059652029826,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048415733284657727,
+      "loss": 5.8249,
+      "mean_token_accuracy": 0.14724751114845275,
+      "num_tokens": 4251892.0,
+      "step": 2330
+    },
+    {
+      "entropy": 5.914888668060303,
+      "epoch": 1.9345484672742337,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004840393335539943,
+      "loss": 5.784,
+      "mean_token_accuracy": 0.14537777602672577,
+      "num_tokens": 4261447.0,
+      "step": 2335
+    },
+    {
+      "entropy": 5.93565788269043,
+      "epoch": 1.9386909693454846,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048392091260623195,
+      "loss": 5.9202,
+      "mean_token_accuracy": 0.1471864774823189,
+      "num_tokens": 4270120.0,
+      "step": 2340
+    },
+    {
+      "entropy": 5.905978488922119,
+      "epoch": 1.9428334714167357,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048380207024215836,
+      "loss": 5.7991,
+      "mean_token_accuracy": 0.1482786476612091,
+      "num_tokens": 4278300.0,
+      "step": 2345
+    },
+    {
+      "entropy": 5.905145263671875,
+      "epoch": 1.9469759734879868,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00048368280670149145,
+      "loss": 5.8487,
+      "mean_token_accuracy": 0.1461447760462761,
+      "num_tokens": 4286454.0,
+      "step": 2350
+    },
+    {
+      "entropy": 5.805000495910645,
+      "epoch": 1.951118475559238,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004835631222247989,
+      "loss": 5.7243,
+      "mean_token_accuracy": 0.15050614029169082,
+      "num_tokens": 4294752.0,
+      "step": 2355
+    },
+    {
+      "entropy": 5.907592630386352,
+      "epoch": 1.9552609776304888,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00048344301705349735,
+      "loss": 5.7974,
+      "mean_token_accuracy": 0.14830030649900436,
+      "num_tokens": 4303195.0,
+      "step": 2360
+    },
+    {
+      "entropy": 5.841587924957276,
+      "epoch": 1.95940347970174,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048332249142985195,
+      "loss": 5.9211,
+      "mean_token_accuracy": 0.1373597078025341,
+      "num_tokens": 4311961.0,
+      "step": 2365
+    },
+    {
+      "entropy": 5.900353670120239,
+      "epoch": 1.9635459817729908,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004832015455969763,
+      "loss": 5.7748,
+      "mean_token_accuracy": 0.13879901468753814,
+      "num_tokens": 4322267.0,
+      "step": 2370
+    },
+    {
+      "entropy": 5.774641275405884,
+      "epoch": 1.9676884838442419,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048308017979883114,
+      "loss": 5.8838,
+      "mean_token_accuracy": 0.1426581546664238,
+      "num_tokens": 4330584.0,
+      "step": 2375
+    },
+    {
+      "entropy": 5.840176010131836,
+      "epoch": 1.971830985915493,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048295839428022454,
+      "loss": 5.7215,
+      "mean_token_accuracy": 0.14949245899915695,
+      "num_tokens": 4339215.0,
+      "step": 2380
+    },
+    {
+      "entropy": 5.869688034057617,
+      "epoch": 1.975973487986744,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00048283618928681127,
+      "loss": 5.7418,
+      "mean_token_accuracy": 0.1501791574060917,
+      "num_tokens": 4347711.0,
+      "step": 2385
+    },
+    {
+      "entropy": 5.764533996582031,
+      "epoch": 1.980115990057995,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004827135650650923,
+      "loss": 5.7445,
+      "mean_token_accuracy": 0.14758301600813867,
+      "num_tokens": 4356982.0,
+      "step": 2390
+    },
+    {
+      "entropy": 5.770398235321045,
+      "epoch": 1.984258492129246,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004825905218624139,
+      "loss": 5.7696,
+      "mean_token_accuracy": 0.14773683473467827,
+      "num_tokens": 4365378.0,
+      "step": 2395
+    },
+    {
+      "entropy": 5.9908288478851315,
+      "epoch": 1.988400994200497,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048246705992696756,
+      "loss": 5.8174,
+      "mean_token_accuracy": 0.14142358154058457,
+      "num_tokens": 4374007.0,
+      "step": 2400
+    },
+    {
+      "entropy": 5.9741987705230715,
+      "epoch": 1.992543496271748,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048234317950778975,
+      "loss": 5.9346,
+      "mean_token_accuracy": 0.1409923940896988,
+      "num_tokens": 4383909.0,
+      "step": 2405
+    },
+    {
+      "entropy": 5.967488718032837,
+      "epoch": 1.9966859983429992,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004822188808547607,
+      "loss": 5.9967,
+      "mean_token_accuracy": 0.13560240790247918,
+      "num_tokens": 4393145.0,
+      "step": 2410
+    },
+    {
+      "entropy": 5.751282596588135,
+      "epoch": 2.0008285004142503,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004820941642186043,
+      "loss": 5.7146,
+      "mean_token_accuracy": 0.14043126851320267,
+      "num_tokens": 4402024.0,
+      "step": 2415
+    },
+    {
+      "entropy": 5.91456356048584,
+      "epoch": 2.0049710024855014,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004819690298508879,
+      "loss": 5.5395,
+      "mean_token_accuracy": 0.1603303700685501,
+      "num_tokens": 4411377.0,
+      "step": 2420
+    },
+    {
+      "entropy": 5.758482313156128,
+      "epoch": 2.009113504556752,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048184347800402083,
+      "loss": 5.4299,
+      "mean_token_accuracy": 0.16564757078886033,
+      "num_tokens": 4419781.0,
+      "step": 2425
+    },
+    {
+      "entropy": 5.727555131912231,
+      "epoch": 2.013256006628003,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004817175089312551,
+      "loss": 5.4154,
+      "mean_token_accuracy": 0.16400155574083328,
+      "num_tokens": 4428427.0,
+      "step": 2430
+    },
+    {
+      "entropy": 5.749885892868042,
+      "epoch": 2.0173985086992543,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048159112288668403,
+      "loss": 5.4586,
+      "mean_token_accuracy": 0.15933601409196854,
+      "num_tokens": 4438156.0,
+      "step": 2435
+    },
+    {
+      "entropy": 5.876013088226318,
+      "epoch": 2.0215410107705054,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00048146432012524215,
+      "loss": 5.4819,
+      "mean_token_accuracy": 0.16306492537260056,
+      "num_tokens": 4446342.0,
+      "step": 2440
+    },
+    {
+      "entropy": 5.738983201980591,
+      "epoch": 2.0256835128417565,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00048133710090270446,
+      "loss": 5.5229,
+      "mean_token_accuracy": 0.1542331963777542,
+      "num_tokens": 4455582.0,
+      "step": 2445
+    },
+    {
+      "entropy": 5.815389633178711,
+      "epoch": 2.0298260149130076,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048120946547568596,
+      "loss": 5.5375,
+      "mean_token_accuracy": 0.15604802072048188,
+      "num_tokens": 4464518.0,
+      "step": 2450
+    },
+    {
+      "entropy": 5.927202749252319,
+      "epoch": 2.0339685169842583,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00048108141410164133,
+      "loss": 5.6588,
+      "mean_token_accuracy": 0.14534952044486998,
+      "num_tokens": 4475031.0,
+      "step": 2455
+    },
+    {
+      "entropy": 5.8722837448120115,
+      "epoch": 2.0381110190555094,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004809529470388642,
+      "loss": 5.5396,
+      "mean_token_accuracy": 0.1577153742313385,
+      "num_tokens": 4484609.0,
+      "step": 2460
+    },
+    {
+      "entropy": 5.787671709060669,
+      "epoch": 2.0422535211267605,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004808240645464866,
+      "loss": 5.5698,
+      "mean_token_accuracy": 0.15477177649736404,
+      "num_tokens": 4494238.0,
+      "step": 2465
+    },
+    {
+      "entropy": 5.684235668182373,
+      "epoch": 2.0463960231980116,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004806947668844787,
+      "loss": 5.4573,
+      "mean_token_accuracy": 0.16172746568918228,
+      "num_tokens": 4503258.0,
+      "step": 2470
+    },
+    {
+      "entropy": 5.786364412307739,
+      "epoch": 2.0505385252692627,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048056505431364794,
+      "loss": 5.5091,
+      "mean_token_accuracy": 0.15975141078233718,
+      "num_tokens": 4512071.0,
+      "step": 2475
+    },
+    {
+      "entropy": 5.736668491363526,
+      "epoch": 2.054681027340514,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00048043492709563877,
+      "loss": 5.3461,
+      "mean_token_accuracy": 0.17059434503316878,
+      "num_tokens": 4520219.0,
+      "step": 2480
+    },
+    {
+      "entropy": 5.672813034057617,
+      "epoch": 2.0588235294117645,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048030438549293193,
+      "loss": 5.5568,
+      "mean_token_accuracy": 0.15284566581249237,
+      "num_tokens": 4529386.0,
+      "step": 2485
+    },
+    {
+      "entropy": 5.830966377258301,
+      "epoch": 2.0629660314830156,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00048017342976884424,
+      "loss": 5.5638,
+      "mean_token_accuracy": 0.15199215039610864,
+      "num_tokens": 4538860.0,
+      "step": 2490
+    },
+    {
+      "entropy": 5.761076402664185,
+      "epoch": 2.0671085335542667,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048004206018752773,
+      "loss": 5.5299,
+      "mean_token_accuracy": 0.15335657596588134,
+      "num_tokens": 4547842.0,
+      "step": 2495
+    },
+    {
+      "entropy": 5.733208799362183,
+      "epoch": 2.071251035625518,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047991027701396895,
+      "loss": 5.5026,
+      "mean_token_accuracy": 0.15411428660154342,
+      "num_tokens": 4556238.0,
+      "step": 2500
+    },
+    {
+      "epoch": 2.071251035625518,
+      "eval_entropy": 5.642364594473768,
+      "eval_loss": 6.032641410827637,
+      "eval_mean_token_accuracy": 0.1416530203399882,
+      "eval_num_tokens": 4556238.0,
+      "eval_runtime": 2.7817,
+      "eval_samples_per_second": 1347.034,
+      "eval_steps_per_second": 168.604,
+      "step": 2500
+    },
+    {
+      "entropy": 5.732073068618774,
+      "epoch": 2.075393537696769,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004797780805139892,
+      "loss": 5.5069,
+      "mean_token_accuracy": 0.1587075412273407,
+      "num_tokens": 4565684.0,
+      "step": 2505
+    },
+    {
+      "entropy": 5.722462224960327,
+      "epoch": 2.07953603976802,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004796454709542432,
+      "loss": 5.467,
+      "mean_token_accuracy": 0.1590041533112526,
+      "num_tokens": 4575001.0,
+      "step": 2510
+    },
+    {
+      "entropy": 5.797696113586426,
+      "epoch": 2.083678541839271,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004795124486022189,
+      "loss": 5.5732,
+      "mean_token_accuracy": 0.15362634360790253,
+      "num_tokens": 4584128.0,
+      "step": 2515
+    },
+    {
+      "entropy": 5.711380529403686,
+      "epoch": 2.087821043910522,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047937901372623694,
+      "loss": 5.4191,
+      "mean_token_accuracy": 0.16894411891698838,
+      "num_tokens": 4593011.0,
+      "step": 2520
+    },
+    {
+      "entropy": 5.688450145721435,
+      "epoch": 2.091963545981773,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00047924516659545005,
+      "loss": 5.4668,
+      "mean_token_accuracy": 0.16164053976535797,
+      "num_tokens": 4602676.0,
+      "step": 2525
+    },
+    {
+      "entropy": 5.79151463508606,
+      "epoch": 2.096106048053024,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004791109074798425,
+      "loss": 5.5522,
+      "mean_token_accuracy": 0.15433578938245773,
+      "num_tokens": 4611915.0,
+      "step": 2530
+    },
+    {
+      "entropy": 5.748647403717041,
+      "epoch": 2.100248550124275,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004789762366502296,
+      "loss": 5.5184,
+      "mean_token_accuracy": 0.15959300100803375,
+      "num_tokens": 4621396.0,
+      "step": 2535
+    },
+    {
+      "entropy": 5.7374598503112795,
+      "epoch": 2.1043910521955262,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004788411543782571,
+      "loss": 5.5201,
+      "mean_token_accuracy": 0.1591552659869194,
+      "num_tokens": 4630533.0,
+      "step": 2540
+    },
+    {
+      "entropy": 5.678498649597168,
+      "epoch": 2.108533554266777,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004787056609364008,
+      "loss": 5.4599,
+      "mean_token_accuracy": 0.1542729303240776,
+      "num_tokens": 4639023.0,
+      "step": 2545
+    },
+    {
+      "entropy": 5.711474943161011,
+      "epoch": 2.112676056338028,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004785697565979657,
+      "loss": 5.4732,
+      "mean_token_accuracy": 0.15900285094976424,
+      "num_tokens": 4647975.0,
+      "step": 2550
+    },
+    {
+      "entropy": 5.72883243560791,
+      "epoch": 2.116818558409279,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004784334416370857,
+      "loss": 5.498,
+      "mean_token_accuracy": 0.15594277828931807,
+      "num_tokens": 4657555.0,
+      "step": 2555
+    },
+    {
+      "entropy": 5.745093822479248,
+      "epoch": 2.1209610604805302,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004782967163287231,
+      "loss": 5.4193,
+      "mean_token_accuracy": 0.16100153774023057,
+      "num_tokens": 4667228.0,
+      "step": 2560
+    },
+    {
+      "entropy": 5.716836738586426,
+      "epoch": 2.1251035625517813,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047815958094866756,
+      "loss": 5.4957,
+      "mean_token_accuracy": 0.1513967014849186,
+      "num_tokens": 4676723.0,
+      "step": 2565
+    },
+    {
+      "entropy": 5.7276163578033445,
+      "epoch": 2.1292460646230325,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004780220357735363,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.15479894131422042,
+      "num_tokens": 4686241.0,
+      "step": 2570
+    },
+    {
+      "entropy": 5.764811038970947,
+      "epoch": 2.1333885666942836,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047788408108077294,
+      "loss": 5.5404,
+      "mean_token_accuracy": 0.1561874568462372,
+      "num_tokens": 4695195.0,
+      "step": 2575
+    },
+    {
+      "entropy": 5.739376497268677,
+      "epoch": 2.1375310687655342,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004777457171486471,
+      "loss": 5.5871,
+      "mean_token_accuracy": 0.15551834553480148,
+      "num_tokens": 4704716.0,
+      "step": 2580
+    },
+    {
+      "entropy": 5.769967555999756,
+      "epoch": 2.1416735708367853,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004776069442562541,
+      "loss": 5.5562,
+      "mean_token_accuracy": 0.15339450240135194,
+      "num_tokens": 4713720.0,
+      "step": 2585
+    },
+    {
+      "entropy": 5.733342504501342,
+      "epoch": 2.1458160729080364,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004774677626835138,
+      "loss": 5.5366,
+      "mean_token_accuracy": 0.15301723331212996,
+      "num_tokens": 4722428.0,
+      "step": 2590
+    },
+    {
+      "entropy": 5.787648677825928,
+      "epoch": 2.1499585749792876,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00047732817271117084,
+      "loss": 5.5365,
+      "mean_token_accuracy": 0.15334974452853203,
+      "num_tokens": 4732395.0,
+      "step": 2595
+    },
+    {
+      "entropy": 5.773520803451538,
+      "epoch": 2.1541010770505387,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004771881746207934,
+      "loss": 5.5206,
+      "mean_token_accuracy": 0.15674114525318145,
+      "num_tokens": 4741071.0,
+      "step": 2600
+    },
+    {
+      "entropy": 5.607013797760009,
+      "epoch": 2.1582435791217898,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047704776869477285,
+      "loss": 5.5153,
+      "mean_token_accuracy": 0.15076877027750016,
+      "num_tokens": 4749876.0,
+      "step": 2605
+    },
+    {
+      "entropy": 5.784313154220581,
+      "epoch": 2.1623860811930404,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00047690695521632344,
+      "loss": 5.4669,
+      "mean_token_accuracy": 0.16002854704856873,
+      "num_tokens": 4758721.0,
+      "step": 2610
+    },
+    {
+      "entropy": 5.6919313907623295,
+      "epoch": 2.1665285832642915,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047676573446948114,
+      "loss": 5.4832,
+      "mean_token_accuracy": 0.15925751626491547,
+      "num_tokens": 4767162.0,
+      "step": 2615
+    },
+    {
+      "entropy": 5.71550760269165,
+      "epoch": 2.1706710853355426,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047662410673910376,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.1629578560590744,
+      "num_tokens": 4776397.0,
+      "step": 2620
+    },
+    {
+      "entropy": 5.665811157226562,
+      "epoch": 2.1748135874067938,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047648207231087,
+      "loss": 5.4579,
+      "mean_token_accuracy": 0.15894875824451446,
+      "num_tokens": 4784822.0,
+      "step": 2625
+    },
+    {
+      "entropy": 5.71003270149231,
+      "epoch": 2.178956089478045,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004763396314712786,
+      "loss": 5.5297,
+      "mean_token_accuracy": 0.15831661075353623,
+      "num_tokens": 4794272.0,
+      "step": 2630
+    },
+    {
+      "entropy": 5.64026665687561,
+      "epoch": 2.183098591549296,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004761967845076484,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.15510014593601226,
+      "num_tokens": 4804314.0,
+      "step": 2635
+    },
+    {
+      "entropy": 5.6847330093383786,
+      "epoch": 2.1872410936205466,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004760535317081174,
+      "loss": 5.4694,
+      "mean_token_accuracy": 0.15845878273248673,
+      "num_tokens": 4812685.0,
+      "step": 2640
+    },
+    {
+      "entropy": 5.715235567092895,
+      "epoch": 2.1913835956917977,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047590987336164207,
+      "loss": 5.5532,
+      "mean_token_accuracy": 0.1562129870057106,
+      "num_tokens": 4821761.0,
+      "step": 2645
+    },
+    {
+      "entropy": 5.741413831710815,
+      "epoch": 2.195526097763049,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00047576580975799705,
+      "loss": 5.5307,
+      "mean_token_accuracy": 0.1623195379972458,
+      "num_tokens": 4830515.0,
+      "step": 2650
+    },
+    {
+      "entropy": 5.782008934020996,
+      "epoch": 2.1996685998343,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004756213411877743,
+      "loss": 5.5059,
+      "mean_token_accuracy": 0.14879967421293258,
+      "num_tokens": 4840741.0,
+      "step": 2655
+    },
+    {
+      "entropy": 5.612497425079345,
+      "epoch": 2.203811101905551,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047547646794238277,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.16198884546756745,
+      "num_tokens": 4849571.0,
+      "step": 2660
+    },
+    {
+      "entropy": 5.689143991470337,
+      "epoch": 2.207953603976802,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047533119031404757,
+      "loss": 5.4138,
+      "mean_token_accuracy": 0.1696420982480049,
+      "num_tokens": 4857194.0,
+      "step": 2665
+    },
+    {
+      "entropy": 5.632621717453003,
+      "epoch": 2.212096106048053,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00047518550859580966,
+      "loss": 5.5074,
+      "mean_token_accuracy": 0.1592964008450508,
+      "num_tokens": 4865894.0,
+      "step": 2670
+    },
+    {
+      "entropy": 5.74289755821228,
+      "epoch": 2.216238608119304,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004750394230815249,
+      "loss": 5.5268,
+      "mean_token_accuracy": 0.15829544067382811,
+      "num_tokens": 4875131.0,
+      "step": 2675
+    },
+    {
+      "entropy": 5.670539522171021,
+      "epoch": 2.220381110190555,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047489293406586375,
+      "loss": 5.3777,
+      "mean_token_accuracy": 0.1620385766029358,
+      "num_tokens": 4884098.0,
+      "step": 2680
+    },
+    {
+      "entropy": 5.657269620895386,
+      "epoch": 2.224523612261806,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004747460418443106,
+      "loss": 5.4373,
+      "mean_token_accuracy": 0.15941016003489494,
+      "num_tokens": 4892963.0,
+      "step": 2685
+    },
+    {
+      "entropy": 5.690485191345215,
+      "epoch": 2.2286661143330573,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047459874671316305,
+      "loss": 5.4903,
+      "mean_token_accuracy": 0.15749651044607163,
+      "num_tokens": 4902097.0,
+      "step": 2690
+    },
+    {
+      "entropy": 5.608357000350952,
+      "epoch": 2.2328086164043084,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00047445104896953153,
+      "loss": 5.4015,
+      "mean_token_accuracy": 0.16532779037952422,
+      "num_tokens": 4910469.0,
+      "step": 2695
+    },
+    {
+      "entropy": 5.82715744972229,
+      "epoch": 2.236951118475559,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047430294891133846,
+      "loss": 5.6892,
+      "mean_token_accuracy": 0.1501491665840149,
+      "num_tokens": 4921024.0,
+      "step": 2700
+    },
+    {
+      "entropy": 5.749764776229858,
+      "epoch": 2.24109362054681,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004741544468373179,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15474629402160645,
+      "num_tokens": 4930297.0,
+      "step": 2705
+    },
+    {
+      "entropy": 5.687776947021485,
+      "epoch": 2.2452361226180613,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00047400554304701474,
+      "loss": 5.4692,
+      "mean_token_accuracy": 0.16049361675977708,
+      "num_tokens": 4938971.0,
+      "step": 2710
+    },
+    {
+      "entropy": 5.571053695678711,
+      "epoch": 2.2493786246893124,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047385623784078427,
+      "loss": 5.4899,
+      "mean_token_accuracy": 0.15803302526474,
+      "num_tokens": 4948531.0,
+      "step": 2715
+    },
+    {
+      "entropy": 5.787879133224488,
+      "epoch": 2.2535211267605635,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004737065315197913,
+      "loss": 5.5664,
+      "mean_token_accuracy": 0.1587745025753975,
+      "num_tokens": 4957430.0,
+      "step": 2720
+    },
+    {
+      "entropy": 5.720958280563354,
+      "epoch": 2.2576636288318146,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047355642438600987,
+      "loss": 5.5478,
+      "mean_token_accuracy": 0.16044806241989135,
+      "num_tokens": 4966681.0,
+      "step": 2725
+    },
+    {
+      "entropy": 5.638753175735474,
+      "epoch": 2.2618061309030653,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004734059167422225,
+      "loss": 5.4123,
+      "mean_token_accuracy": 0.1639780133962631,
+      "num_tokens": 4975327.0,
+      "step": 2730
+    },
+    {
+      "entropy": 5.634887552261352,
+      "epoch": 2.2659486329743164,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047325500889201956,
+      "loss": 5.4725,
+      "mean_token_accuracy": 0.16207436099648476,
+      "num_tokens": 4983741.0,
+      "step": 2735
+    },
+    {
+      "entropy": 5.673438644409179,
+      "epoch": 2.2700911350455675,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004731037011397986,
+      "loss": 5.5662,
+      "mean_token_accuracy": 0.15884149968624114,
+      "num_tokens": 4993171.0,
+      "step": 2740
+    },
+    {
+      "entropy": 5.752307653427124,
+      "epoch": 2.2742336371168186,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047295199379076403,
+      "loss": 5.6,
+      "mean_token_accuracy": 0.15322241187095642,
+      "num_tokens": 5002810.0,
+      "step": 2745
+    },
+    {
+      "entropy": 5.7073346138000485,
+      "epoch": 2.2783761391880697,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000472799887150926,
+      "loss": 5.4893,
+      "mean_token_accuracy": 0.15741414427757264,
+      "num_tokens": 5011875.0,
+      "step": 2750
+    },
+    {
+      "entropy": 5.679959297180176,
+      "epoch": 2.282518641259321,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004726473815271003,
+      "loss": 5.5349,
+      "mean_token_accuracy": 0.15855301022529603,
+      "num_tokens": 5020780.0,
+      "step": 2755
+    },
+    {
+      "entropy": 5.669374132156372,
+      "epoch": 2.286661143330572,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047249447722690747,
+      "loss": 5.4331,
+      "mean_token_accuracy": 0.16046710908412934,
+      "num_tokens": 5029896.0,
+      "step": 2760
+    },
+    {
+      "entropy": 5.652454280853272,
+      "epoch": 2.2908036454018226,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047234117455877215,
+      "loss": 5.4932,
+      "mean_token_accuracy": 0.1545606277883053,
+      "num_tokens": 5038956.0,
+      "step": 2765
+    },
+    {
+      "entropy": 5.639697694778443,
+      "epoch": 2.2949461474730737,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004721874738319225,
+      "loss": 5.4594,
+      "mean_token_accuracy": 0.17258906960487366,
+      "num_tokens": 5047005.0,
+      "step": 2770
+    },
+    {
+      "entropy": 5.655842065811157,
+      "epoch": 2.299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004720333753563898,
+      "loss": 5.5008,
+      "mean_token_accuracy": 0.15116662830114364,
+      "num_tokens": 5056475.0,
+      "step": 2775
+    },
+    {
+      "entropy": 5.704644584655762,
+      "epoch": 2.303231151615576,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00047187887944300747,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16439782381057738,
+      "num_tokens": 5064978.0,
+      "step": 2780
+    },
+    {
+      "entropy": 5.726413679122925,
+      "epoch": 2.307373653686827,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004717239864034107,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.15506226867437362,
+      "num_tokens": 5074235.0,
+      "step": 2785
+    },
+    {
+      "entropy": 5.662968683242798,
+      "epoch": 2.3115161557580777,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047156869655003554,
+      "loss": 5.4481,
+      "mean_token_accuracy": 0.16141191571950914,
+      "num_tokens": 5082386.0,
+      "step": 2790
+    },
+    {
+      "entropy": 5.631324100494385,
+      "epoch": 2.315658657829329,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047141301019611875,
+      "loss": 5.4164,
+      "mean_token_accuracy": 0.16636510640382768,
+      "num_tokens": 5090634.0,
+      "step": 2795
+    },
+    {
+      "entropy": 5.818879795074463,
+      "epoch": 2.31980115990058,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004712569276556967,
+      "loss": 5.5906,
+      "mean_token_accuracy": 0.14937217235565187,
+      "num_tokens": 5099003.0,
+      "step": 2800
+    },
+    {
+      "entropy": 5.617757177352905,
+      "epoch": 2.323943661971831,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00047110044924360484,
+      "loss": 5.6681,
+      "mean_token_accuracy": 0.1565680392086506,
+      "num_tokens": 5108631.0,
+      "step": 2805
+    },
+    {
+      "entropy": 5.732515859603882,
+      "epoch": 2.328086164043082,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00047094357527547725,
+      "loss": 5.4545,
+      "mean_token_accuracy": 0.15828853249549865,
+      "num_tokens": 5117309.0,
+      "step": 2810
+    },
+    {
+      "entropy": 5.686485624313354,
+      "epoch": 2.332228666114333,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004707863060677459,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.1627561032772064,
+      "num_tokens": 5126305.0,
+      "step": 2815
+    },
+    {
+      "entropy": 5.821760654449463,
+      "epoch": 2.3363711681855843,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00047062864193764,
+      "loss": 5.6022,
+      "mean_token_accuracy": 0.15580221712589265,
+      "num_tokens": 5135338.0,
+      "step": 2820
+    },
+    {
+      "entropy": 5.676449155807495,
+      "epoch": 2.340513670256835,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047047058320318525,
+      "loss": 5.5298,
+      "mean_token_accuracy": 0.16162888556718827,
+      "num_tokens": 5144518.0,
+      "step": 2825
+    },
+    {
+      "entropy": 5.702890157699585,
+      "epoch": 2.344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004703121301832034,
+      "loss": 5.6262,
+      "mean_token_accuracy": 0.15101130157709122,
+      "num_tokens": 5154102.0,
+      "step": 2830
+    },
+    {
+      "entropy": 5.7891247272491455,
+      "epoch": 2.348798674399337,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047015328319731153,
+      "loss": 5.5642,
+      "mean_token_accuracy": 0.15612353384494781,
+      "num_tokens": 5163719.0,
+      "step": 2835
+    },
+    {
+      "entropy": 5.677855682373047,
+      "epoch": 2.3529411764705883,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004699940425659215,
+      "loss": 5.5247,
+      "mean_token_accuracy": 0.15519936084747316,
+      "num_tokens": 5173192.0,
+      "step": 2840
+    },
+    {
+      "entropy": 5.622324132919312,
+      "epoch": 2.3570836785418394,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00046983440861023877,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.1663823500275612,
+      "num_tokens": 5182438.0,
+      "step": 2845
+    },
+    {
+      "entropy": 5.699106454849243,
+      "epoch": 2.36122618061309,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046967438165226275,
+      "loss": 5.6015,
+      "mean_token_accuracy": 0.15352728664875032,
+      "num_tokens": 5191595.0,
+      "step": 2850
+    },
+    {
+      "entropy": 5.659265756607056,
+      "epoch": 2.365368682684341,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004695139620147851,
+      "loss": 5.4682,
+      "mean_token_accuracy": 0.1643056571483612,
+      "num_tokens": 5200174.0,
+      "step": 2855
+    },
+    {
+      "entropy": 5.713242053985596,
+      "epoch": 2.3695111847555923,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046935315002138994,
+      "loss": 5.5804,
+      "mean_token_accuracy": 0.15417435318231582,
+      "num_tokens": 5210454.0,
+      "step": 2860
+    },
+    {
+      "entropy": 5.727554702758789,
+      "epoch": 2.3736536868268434,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004691919459964525,
+      "loss": 5.5019,
+      "mean_token_accuracy": 0.16056040227413176,
+      "num_tokens": 5219243.0,
+      "step": 2865
+    },
+    {
+      "entropy": 5.5862212657928465,
+      "epoch": 2.3777961888980945,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046903035026513894,
+      "loss": 5.4319,
+      "mean_token_accuracy": 0.1613735228776932,
+      "num_tokens": 5228656.0,
+      "step": 2870
+    },
+    {
+      "entropy": 5.587289905548095,
+      "epoch": 2.3819386909693456,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004688683631534056,
+      "loss": 5.4859,
+      "mean_token_accuracy": 0.156366066634655,
+      "num_tokens": 5237807.0,
+      "step": 2875
+    },
+    {
+      "entropy": 5.775411653518677,
+      "epoch": 2.3860811930405967,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004687059849879981,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.1609719067811966,
+      "num_tokens": 5247432.0,
+      "step": 2880
+    },
+    {
+      "entropy": 5.597807741165161,
+      "epoch": 2.3902236951118474,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00046854321609645093,
+      "loss": 5.4145,
+      "mean_token_accuracy": 0.16111126840114592,
+      "num_tokens": 5256680.0,
+      "step": 2885
+    },
+    {
+      "entropy": 5.6380726337432865,
+      "epoch": 2.3943661971830985,
+      "grad_norm": 2.15625,
+      "learning_rate": 0.00046838005680708677,
+      "loss": 5.5296,
+      "mean_token_accuracy": 0.14821895360946655,
+      "num_tokens": 5266793.0,
+      "step": 2890
+    },
+    {
+      "entropy": 5.710390281677246,
+      "epoch": 2.3985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046821650744901573,
+      "loss": 5.4452,
+      "mean_token_accuracy": 0.15857197493314742,
+      "num_tokens": 5275028.0,
+      "step": 2895
+    },
+    {
+      "entropy": 5.598506593704224,
+      "epoch": 2.4026512013256007,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004680525683521347,
+      "loss": 5.5226,
+      "mean_token_accuracy": 0.1566852644085884,
+      "num_tokens": 5284162.0,
+      "step": 2900
+    },
+    {
+      "entropy": 5.757242631912232,
+      "epoch": 2.406793703396852,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004678882398471269,
+      "loss": 5.5911,
+      "mean_token_accuracy": 0.15474308133125306,
+      "num_tokens": 5293263.0,
+      "step": 2905
+    },
+    {
+      "entropy": 5.654598569869995,
+      "epoch": 2.4109362054681025,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046772352226546066,
+      "loss": 5.477,
+      "mean_token_accuracy": 0.1666618600487709,
+      "num_tokens": 5301373.0,
+      "step": 2910
+    },
+    {
+      "entropy": 5.643638467788696,
+      "epoch": 2.4150787075393536,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004675584159393895,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.15203802064061164,
+      "num_tokens": 5311009.0,
+      "step": 2915
+    },
+    {
+      "entropy": 5.699149656295776,
+      "epoch": 2.4192212096106047,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046739292120195083,
+      "loss": 5.5245,
+      "mean_token_accuracy": 0.16085631400346756,
+      "num_tokens": 5320341.0,
+      "step": 2920
+    },
+    {
+      "entropy": 5.642888498306275,
+      "epoch": 2.423363711681856,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004672270383869657,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1610630214214325,
+      "num_tokens": 5329250.0,
+      "step": 2925
+    },
+    {
+      "entropy": 5.62935357093811,
+      "epoch": 2.427506213753107,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004670607678290379,
+      "loss": 5.4471,
+      "mean_token_accuracy": 0.16571807861328125,
+      "num_tokens": 5336515.0,
+      "step": 2930
+    },
+    {
+      "entropy": 5.655415058135986,
+      "epoch": 2.431648715824358,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004668941098635532,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.1595415398478508,
+      "num_tokens": 5346043.0,
+      "step": 2935
+    },
+    {
+      "entropy": 5.642036104202271,
+      "epoch": 2.435791217895609,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00046672706482667897,
+      "loss": 5.4925,
+      "mean_token_accuracy": 0.15832271426916122,
+      "num_tokens": 5355124.0,
+      "step": 2940
+    },
+    {
+      "entropy": 5.647988367080688,
+      "epoch": 2.43993371996686,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004665596330553633,
+      "loss": 5.5051,
+      "mean_token_accuracy": 0.1597411409020424,
+      "num_tokens": 5364556.0,
+      "step": 2945
+    },
+    {
+      "entropy": 5.67459397315979,
+      "epoch": 2.444076222038111,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046639181488733445,
+      "loss": 5.5316,
+      "mean_token_accuracy": 0.15941161364316941,
+      "num_tokens": 5373778.0,
+      "step": 2950
+    },
+    {
+      "entropy": 5.725692987442017,
+      "epoch": 2.448218724109362,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004662236106610999,
+      "loss": 5.5123,
+      "mean_token_accuracy": 0.15816445648670197,
+      "num_tokens": 5382633.0,
+      "step": 2955
+    },
+    {
+      "entropy": 5.5606146335601805,
+      "epoch": 2.452361226180613,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00046605502071594604,
+      "loss": 5.4163,
+      "mean_token_accuracy": 0.16387673169374467,
+      "num_tokens": 5391442.0,
+      "step": 2960
+    },
+    {
+      "entropy": 5.569208765029908,
+      "epoch": 2.4565037282518642,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004658860453919371,
+      "loss": 5.4388,
+      "mean_token_accuracy": 0.1621423229575157,
+      "num_tokens": 5400504.0,
+      "step": 2965
+    },
+    {
+      "entropy": 5.587312078475952,
+      "epoch": 2.460646230323115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004657166850299149,
+      "loss": 5.4448,
+      "mean_token_accuracy": 0.16361159086227417,
+      "num_tokens": 5408939.0,
+      "step": 2970
+    },
+    {
+      "entropy": 5.629118537902832,
+      "epoch": 2.464788732394366,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004655469399714978,
+      "loss": 5.4722,
+      "mean_token_accuracy": 0.1575179159641266,
+      "num_tokens": 5418934.0,
+      "step": 2975
+    },
+    {
+      "entropy": 5.572103595733642,
+      "epoch": 2.468931234465617,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004653768105590799,
+      "loss": 5.4955,
+      "mean_token_accuracy": 0.16008511185646057,
+      "num_tokens": 5427894.0,
+      "step": 2980
+    },
+    {
+      "entropy": 5.683330011367798,
+      "epoch": 2.4730737365368682,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046520629713583115,
+      "loss": 5.5003,
+      "mean_token_accuracy": 0.1613202139735222,
+      "num_tokens": 5436830.0,
+      "step": 2985
+    },
+    {
+      "entropy": 5.597742080688477,
+      "epoch": 2.4772162386081193,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046503540004569555,
+      "loss": 5.4814,
+      "mean_token_accuracy": 0.16423845291137695,
+      "num_tokens": 5445504.0,
+      "step": 2990
+    },
+    {
+      "entropy": 5.679887342453003,
+      "epoch": 2.4813587406793705,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046486411963339125,
+      "loss": 5.5405,
+      "mean_token_accuracy": 0.15501321628689765,
+      "num_tokens": 5455378.0,
+      "step": 2995
+    },
+    {
+      "entropy": 5.712473011016845,
+      "epoch": 2.4855012427506216,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046469245624440955,
+      "loss": 5.6107,
+      "mean_token_accuracy": 0.1589423656463623,
+      "num_tokens": 5465334.0,
+      "step": 3000
+    },
+    {
+      "epoch": 2.4855012427506216,
+      "eval_entropy": 5.590163738234465,
+      "eval_loss": 5.965892314910889,
+      "eval_mean_token_accuracy": 0.14734836894947329,
+      "eval_num_tokens": 5465334.0,
+      "eval_runtime": 2.7526,
+      "eval_samples_per_second": 1361.234,
+      "eval_steps_per_second": 170.381,
+      "step": 3000
+    },
+    {
+      "entropy": 5.751126146316528,
+      "epoch": 2.4896437448218722,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046452041022501423,
+      "loss": 5.5858,
+      "mean_token_accuracy": 0.15555662512779236,
+      "num_tokens": 5475701.0,
+      "step": 3005
+    },
+    {
+      "entropy": 5.699931526184082,
+      "epoch": 2.4937862468931233,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004643479819222411,
+      "loss": 5.4828,
+      "mean_token_accuracy": 0.16229774355888366,
+      "num_tokens": 5485244.0,
+      "step": 3010
+    },
+    {
+      "entropy": 5.596950387954712,
+      "epoch": 2.4979287489643744,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046417517168389664,
+      "loss": 5.4434,
+      "mean_token_accuracy": 0.1682340309023857,
+      "num_tokens": 5493587.0,
+      "step": 3015
+    },
+    {
+      "entropy": 5.6203169345855715,
+      "epoch": 2.5020712510356256,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004640019798585581,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.15738681554794312,
+      "num_tokens": 5503117.0,
+      "step": 3020
+    },
+    {
+      "entropy": 5.762682390213013,
+      "epoch": 2.5062137531068767,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046382840679557233,
+      "loss": 5.5352,
+      "mean_token_accuracy": 0.16024575680494307,
+      "num_tokens": 5512742.0,
+      "step": 3025
+    },
+    {
+      "entropy": 5.647499704360962,
+      "epoch": 2.5103562551781273,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00046365445284505516,
+      "loss": 5.4968,
+      "mean_token_accuracy": 0.16166605204343795,
+      "num_tokens": 5521862.0,
+      "step": 3030
+    },
+    {
+      "entropy": 5.597900772094727,
+      "epoch": 2.5144987572493784,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.0004634801183578907,
+      "loss": 5.488,
+      "mean_token_accuracy": 0.1608501434326172,
+      "num_tokens": 5531244.0,
+      "step": 3035
+    },
+    {
+      "entropy": 5.655751419067383,
+      "epoch": 2.5186412593206295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046330540368573063,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15176820158958435,
+      "num_tokens": 5540786.0,
+      "step": 3040
+    },
+    {
+      "entropy": 5.7291028022766115,
+      "epoch": 2.5227837613918807,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046313030918099365,
+      "loss": 5.5224,
+      "mean_token_accuracy": 0.1602902241051197,
+      "num_tokens": 5549961.0,
+      "step": 3045
+    },
+    {
+      "entropy": 5.620108366012573,
+      "epoch": 2.5269262634631318,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00046295483519686437,
+      "loss": 5.4591,
+      "mean_token_accuracy": 0.16417455673217773,
+      "num_tokens": 5558941.0,
+      "step": 3050
+    },
+    {
+      "entropy": 5.644694232940674,
+      "epoch": 2.531068765534383,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046277898208729306,
+      "loss": 5.4673,
+      "mean_token_accuracy": 0.16716189235448836,
+      "num_tokens": 5567630.0,
+      "step": 3055
+    },
+    {
+      "entropy": 5.586954879760742,
+      "epoch": 2.535211267605634,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004626027502069947,
+      "loss": 5.4301,
+      "mean_token_accuracy": 0.16521373838186265,
+      "num_tokens": 5576430.0,
+      "step": 3060
+    },
+    {
+      "entropy": 5.650178289413452,
+      "epoch": 2.539353769676885,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046242613991144814,
+      "loss": 5.5444,
+      "mean_token_accuracy": 0.1609214127063751,
+      "num_tokens": 5584785.0,
+      "step": 3065
+    },
+    {
+      "entropy": 5.585511493682861,
+      "epoch": 2.5434962717481358,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046224915155689586,
+      "loss": 5.478,
+      "mean_token_accuracy": 0.16044741719961167,
+      "num_tokens": 5594583.0,
+      "step": 3070
+    },
+    {
+      "entropy": 5.638197040557861,
+      "epoch": 2.547638773819387,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046207178550034244,
+      "loss": 5.4306,
+      "mean_token_accuracy": 0.1608849883079529,
+      "num_tokens": 5603498.0,
+      "step": 3075
+    },
+    {
+      "entropy": 5.7161966323852536,
+      "epoch": 2.551781275890638,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004618940420995547,
+      "loss": 5.5685,
+      "mean_token_accuracy": 0.15440558269619942,
+      "num_tokens": 5613101.0,
+      "step": 3080
+    },
+    {
+      "entropy": 5.665849494934082,
+      "epoch": 2.555923777961889,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004617159217130606,
+      "loss": 5.5409,
+      "mean_token_accuracy": 0.1569191187620163,
+      "num_tokens": 5621821.0,
+      "step": 3085
+    },
+    {
+      "entropy": 5.711861181259155,
+      "epoch": 2.5600662800331397,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004615374247001483,
+      "loss": 5.5738,
+      "mean_token_accuracy": 0.15701586306095122,
+      "num_tokens": 5631006.0,
+      "step": 3090
+    },
+    {
+      "entropy": 5.674423551559448,
+      "epoch": 2.564208782104391,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004613585514208659,
+      "loss": 5.5295,
+      "mean_token_accuracy": 0.15232180580496787,
+      "num_tokens": 5640159.0,
+      "step": 3095
+    },
+    {
+      "entropy": 5.592060613632202,
+      "epoch": 2.568351284175642,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046117930223602016,
+      "loss": 5.4003,
+      "mean_token_accuracy": 0.1694741129875183,
+      "num_tokens": 5648369.0,
+      "step": 3100
+    },
+    {
+      "entropy": 5.5982965469360355,
+      "epoch": 2.572493786246893,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004609996775071765,
+      "loss": 5.459,
+      "mean_token_accuracy": 0.1591326355934143,
+      "num_tokens": 5657669.0,
+      "step": 3105
+    },
+    {
+      "entropy": 5.56780686378479,
+      "epoch": 2.576636288318144,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004608196775966575,
+      "loss": 5.5319,
+      "mean_token_accuracy": 0.1610974356532097,
+      "num_tokens": 5666601.0,
+      "step": 3110
+    },
+    {
+      "entropy": 5.639773225784301,
+      "epoch": 2.5807787903893953,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046063930286754267,
+      "loss": 5.4465,
+      "mean_token_accuracy": 0.16618527621030807,
+      "num_tokens": 5675243.0,
+      "step": 3115
+    },
+    {
+      "entropy": 5.56855001449585,
+      "epoch": 2.5849212924606464,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00046045855368366756,
+      "loss": 5.466,
+      "mean_token_accuracy": 0.1630399063229561,
+      "num_tokens": 5683646.0,
+      "step": 3120
+    },
+    {
+      "entropy": 5.682586193084717,
+      "epoch": 2.5890637945318975,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.000460277430409623,
+      "loss": 5.5129,
+      "mean_token_accuracy": 0.17162407487630843,
+      "num_tokens": 5693069.0,
+      "step": 3125
+    },
+    {
+      "entropy": 5.587219524383545,
+      "epoch": 2.593206296603148,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046009593341075444,
+      "loss": 5.3754,
+      "mean_token_accuracy": 0.16499391198158264,
+      "num_tokens": 5701527.0,
+      "step": 3130
+    },
+    {
+      "entropy": 5.561956834793091,
+      "epoch": 2.5973487986743993,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004599140630531612,
+      "loss": 5.5403,
+      "mean_token_accuracy": 0.15682477951049806,
+      "num_tokens": 5710379.0,
+      "step": 3135
+    },
+    {
+      "entropy": 5.69692587852478,
+      "epoch": 2.6014913007456504,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004597318197036956,
+      "loss": 5.4524,
+      "mean_token_accuracy": 0.1643553927540779,
+      "num_tokens": 5719217.0,
+      "step": 3140
+    },
+    {
+      "entropy": 5.629226970672607,
+      "epoch": 2.6056338028169015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004595492037299624,
+      "loss": 5.5535,
+      "mean_token_accuracy": 0.16214104294776915,
+      "num_tokens": 5728331.0,
+      "step": 3145
+    },
+    {
+      "entropy": 5.608061027526856,
+      "epoch": 2.6097763048881526,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045936621550031806,
+      "loss": 5.5107,
+      "mean_token_accuracy": 0.16073764860630035,
+      "num_tokens": 5737696.0,
+      "step": 3150
+    },
+    {
+      "entropy": 5.731885099411011,
+      "epoch": 2.6139188069594033,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045918285538386973,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.16164542436599733,
+      "num_tokens": 5746191.0,
+      "step": 3155
+    },
+    {
+      "entropy": 5.703127813339234,
+      "epoch": 2.6180613090306544,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00045899912375047485,
+      "loss": 5.5619,
+      "mean_token_accuracy": 0.1629435494542122,
+      "num_tokens": 5754824.0,
+      "step": 3160
+    },
+    {
+      "entropy": 5.638229656219482,
+      "epoch": 2.6222038111019055,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045881502097074023,
+      "loss": 5.537,
+      "mean_token_accuracy": 0.1518124133348465,
+      "num_tokens": 5764863.0,
+      "step": 3165
+    },
+    {
+      "entropy": 5.614318180084228,
+      "epoch": 2.6263463131731566,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004586305474160212,
+      "loss": 5.5459,
+      "mean_token_accuracy": 0.15642993301153182,
+      "num_tokens": 5774273.0,
+      "step": 3170
+    },
+    {
+      "entropy": 5.666326427459717,
+      "epoch": 2.6304888152444077,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045844570345842116,
+      "loss": 5.5044,
+      "mean_token_accuracy": 0.16042826995253562,
+      "num_tokens": 5784085.0,
+      "step": 3175
+    },
+    {
+      "entropy": 5.659371709823608,
+      "epoch": 2.634631317315659,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004582604894707906,
+      "loss": 5.5336,
+      "mean_token_accuracy": 0.16884370446205138,
+      "num_tokens": 5793921.0,
+      "step": 3180
+    },
+    {
+      "entropy": 5.664378356933594,
+      "epoch": 2.63877381938691,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00045807490582672634,
+      "loss": 5.4972,
+      "mean_token_accuracy": 0.15294444859027861,
+      "num_tokens": 5803902.0,
+      "step": 3185
+    },
+    {
+      "entropy": 5.542481708526611,
+      "epoch": 2.6429163214581606,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00045788895290057083,
+      "loss": 5.4129,
+      "mean_token_accuracy": 0.16788192689418793,
+      "num_tokens": 5812089.0,
+      "step": 3190
+    },
+    {
+      "entropy": 5.6802209377288815,
+      "epoch": 2.6470588235294117,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00045770263106741137,
+      "loss": 5.5784,
+      "mean_token_accuracy": 0.1578851893544197,
+      "num_tokens": 5821072.0,
+      "step": 3195
+    },
+    {
+      "entropy": 5.628516340255738,
+      "epoch": 2.651201325600663,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004575159407030797,
+      "loss": 5.4029,
+      "mean_token_accuracy": 0.16388181746006011,
+      "num_tokens": 5829725.0,
+      "step": 3200
+    },
+    {
+      "entropy": 5.500157403945923,
+      "epoch": 2.655343827671914,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004573288821841505,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16496249735355378,
+      "num_tokens": 5838153.0,
+      "step": 3205
+    },
+    {
+      "entropy": 5.616616106033325,
+      "epoch": 2.659486329743165,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004571414558879413,
+      "loss": 5.4409,
+      "mean_token_accuracy": 0.15448423773050307,
+      "num_tokens": 5847270.0,
+      "step": 3210
+    },
+    {
+      "entropy": 5.6490891456604,
+      "epoch": 2.6636288318144157,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004569536621925114,
+      "loss": 5.5472,
+      "mean_token_accuracy": 0.15474478006362916,
+      "num_tokens": 5855954.0,
+      "step": 3215
+    },
+    {
+      "entropy": 5.634416961669922,
+      "epoch": 2.667771333885667,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004567655014766612,
+      "loss": 5.4529,
+      "mean_token_accuracy": 0.16163208782672883,
+      "num_tokens": 5864435.0,
+      "step": 3220
+    },
+    {
+      "entropy": 5.624909925460815,
+      "epoch": 2.671913835956918,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004565769741199314,
+      "loss": 5.5135,
+      "mean_token_accuracy": 0.1572384186089039,
+      "num_tokens": 5873964.0,
+      "step": 3225
+    },
+    {
+      "entropy": 5.727962255477905,
+      "epoch": 2.676056338028169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045638808050260237,
+      "loss": 5.4648,
+      "mean_token_accuracy": 0.16628578454256057,
+      "num_tokens": 5882738.0,
+      "step": 3230
+    },
+    {
+      "entropy": 5.587652635574341,
+      "epoch": 2.68019884009942,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00045619882100569317,
+      "loss": 5.5925,
+      "mean_token_accuracy": 0.15854242593050002,
+      "num_tokens": 5891749.0,
+      "step": 3235
+    },
+    {
+      "entropy": 5.627515649795532,
+      "epoch": 2.684341342170671,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004560091960109608,
+      "loss": 5.5372,
+      "mean_token_accuracy": 0.15811603218317033,
+      "num_tokens": 5900551.0,
+      "step": 3240
+    },
+    {
+      "entropy": 5.661735343933105,
+      "epoch": 2.6884838442419223,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004558192059008996,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.1517203629016876,
+      "num_tokens": 5909254.0,
+      "step": 3245
+    },
+    {
+      "entropy": 5.599635648727417,
+      "epoch": 2.692626346313173,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004556288510587406,
+      "loss": 5.4987,
+      "mean_token_accuracy": 0.15817683488130568,
+      "num_tokens": 5918357.0,
+      "step": 3250
+    },
+    {
+      "entropy": 5.662895679473877,
+      "epoch": 2.696768848384424,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00045543813186845004,
+      "loss": 5.5021,
+      "mean_token_accuracy": 0.15579704195261002,
+      "num_tokens": 5927742.0,
+      "step": 3255
+    },
+    {
+      "entropy": 5.627440690994263,
+      "epoch": 2.700911350455675,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004552470487147294,
+      "loss": 5.5823,
+      "mean_token_accuracy": 0.1556493915617466,
+      "num_tokens": 5937025.0,
+      "step": 3260
+    },
+    {
+      "entropy": 5.70678014755249,
+      "epoch": 2.7050538525269263,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045505560198301443,
+      "loss": 5.5615,
+      "mean_token_accuracy": 0.15135139375925064,
+      "num_tokens": 5946176.0,
+      "step": 3265
+    },
+    {
+      "entropy": 5.659924745559692,
+      "epoch": 2.7091963545981774,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045486379205947396,
+      "loss": 5.5233,
+      "mean_token_accuracy": 0.1584411159157753,
+      "num_tokens": 5955550.0,
+      "step": 3270
+    },
+    {
+      "entropy": 5.594695281982422,
+      "epoch": 2.713338856669428,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004546716193310098,
+      "loss": 5.4541,
+      "mean_token_accuracy": 0.1651945412158966,
+      "num_tokens": 5964467.0,
+      "step": 3275
+    },
+    {
+      "entropy": 5.605531787872314,
+      "epoch": 2.717481358740679,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000454479084185255,
+      "loss": 5.4855,
+      "mean_token_accuracy": 0.1514287754893303,
+      "num_tokens": 5973906.0,
+      "step": 3280
+    },
+    {
+      "entropy": 5.696796035766601,
+      "epoch": 2.7216238608119303,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004542861870105743,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.15694239139556884,
+      "num_tokens": 5983701.0,
+      "step": 3285
+    },
+    {
+      "entropy": 5.623150444030761,
+      "epoch": 2.7257663628831814,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045409292819606224,
+      "loss": 5.4971,
+      "mean_token_accuracy": 0.16068210303783417,
+      "num_tokens": 5993367.0,
+      "step": 3290
+    },
+    {
+      "entropy": 5.646857404708863,
+      "epoch": 2.7299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045389930813154297,
+      "loss": 5.4519,
+      "mean_token_accuracy": 0.16334805637598038,
+      "num_tokens": 6003752.0,
+      "step": 3295
+    },
+    {
+      "entropy": 5.675233459472656,
+      "epoch": 2.7340513670256836,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004537053272075693,
+      "loss": 5.5263,
+      "mean_token_accuracy": 0.1621565416455269,
+      "num_tokens": 6012486.0,
+      "step": 3300
+    },
+    {
+      "entropy": 5.5136041164398195,
+      "epoch": 2.7381938690969347,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045351098581542204,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.163838130235672,
+      "num_tokens": 6020742.0,
+      "step": 3305
+    },
+    {
+      "entropy": 5.646917295455933,
+      "epoch": 2.742336371168186,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004533162843471089,
+      "loss": 5.5009,
+      "mean_token_accuracy": 0.15474170595407485,
+      "num_tokens": 6030248.0,
+      "step": 3310
+    },
+    {
+      "entropy": 5.632185411453247,
+      "epoch": 2.7464788732394365,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004531212231953641,
+      "loss": 5.5436,
+      "mean_token_accuracy": 0.15157791674137117,
+      "num_tokens": 6039293.0,
+      "step": 3315
+    },
+    {
+      "entropy": 5.587828540802002,
+      "epoch": 2.7506213753106876,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004529258027536473,
+      "loss": 5.4134,
+      "mean_token_accuracy": 0.16378402560949326,
+      "num_tokens": 6048081.0,
+      "step": 3320
+    },
+    {
+      "entropy": 5.673684549331665,
+      "epoch": 2.7547638773819387,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004527300234161428,
+      "loss": 5.5753,
+      "mean_token_accuracy": 0.15969255268573762,
+      "num_tokens": 6057549.0,
+      "step": 3325
+    },
+    {
+      "entropy": 5.646554040908813,
+      "epoch": 2.75890637945319,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004525338855777591,
+      "loss": 5.5589,
+      "mean_token_accuracy": 0.15469738617539405,
+      "num_tokens": 6067372.0,
+      "step": 3330
+    },
+    {
+      "entropy": 5.595069122314453,
+      "epoch": 2.7630488815244405,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045233738963412746,
+      "loss": 5.4181,
+      "mean_token_accuracy": 0.1717814713716507,
+      "num_tokens": 6075532.0,
+      "step": 3335
+    },
+    {
+      "entropy": 5.5924467086792,
+      "epoch": 2.7671913835956916,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045214053598160173,
+      "loss": 5.4439,
+      "mean_token_accuracy": 0.16404369622468948,
+      "num_tokens": 6084389.0,
+      "step": 3340
+    },
+    {
+      "entropy": 5.598109579086303,
+      "epoch": 2.7713338856669427,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045194332501725725,
+      "loss": 5.4706,
+      "mean_token_accuracy": 0.16428767740726472,
+      "num_tokens": 6093536.0,
+      "step": 3345
+    },
+    {
+      "entropy": 5.637304496765137,
+      "epoch": 2.775476387738194,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00045174575713889014,
+      "loss": 5.5167,
+      "mean_token_accuracy": 0.16573925465345382,
+      "num_tokens": 6102677.0,
+      "step": 3350
+    },
+    {
+      "entropy": 5.677533674240112,
+      "epoch": 2.779618889809445,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004515478327450164,
+      "loss": 5.5926,
+      "mean_token_accuracy": 0.156404609978199,
+      "num_tokens": 6112430.0,
+      "step": 3355
+    },
+    {
+      "entropy": 5.643227863311767,
+      "epoch": 2.783761391880696,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00045134955223487093,
+      "loss": 5.4889,
+      "mean_token_accuracy": 0.16630716919898986,
+      "num_tokens": 6121408.0,
+      "step": 3360
+    },
+    {
+      "entropy": 5.57972674369812,
+      "epoch": 2.787903893951947,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00045115091600840757,
+      "loss": 5.5188,
+      "mean_token_accuracy": 0.15800442099571227,
+      "num_tokens": 6131339.0,
+      "step": 3365
+    },
+    {
+      "entropy": 5.624274778366089,
+      "epoch": 2.7920463960231983,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00045095192446629697,
+      "loss": 5.4816,
+      "mean_token_accuracy": 0.16174803227186202,
+      "num_tokens": 6140590.0,
+      "step": 3370
+    },
+    {
+      "entropy": 5.704814815521241,
+      "epoch": 2.796188898094449,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000450752578009927,
+      "loss": 5.5621,
+      "mean_token_accuracy": 0.1653067871928215,
+      "num_tokens": 6149958.0,
+      "step": 3375
+    },
+    {
+      "entropy": 5.58657054901123,
+      "epoch": 2.8003314001657,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045055287704140115,
+      "loss": 5.4346,
+      "mean_token_accuracy": 0.15949429720640182,
+      "num_tokens": 6159411.0,
+      "step": 3380
+    },
+    {
+      "entropy": 5.595387983322143,
+      "epoch": 2.804473902236951,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004503528219635381,
+      "loss": 5.5138,
+      "mean_token_accuracy": 0.1545591250061989,
+      "num_tokens": 6169264.0,
+      "step": 3385
+    },
+    {
+      "entropy": 5.617677021026611,
+      "epoch": 2.8086164043082023,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004501524131798709,
+      "loss": 5.4826,
+      "mean_token_accuracy": 0.16332829892635345,
+      "num_tokens": 6178374.0,
+      "step": 3390
+    },
+    {
+      "entropy": 5.7183191776275635,
+      "epoch": 2.812758906379453,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000449951651094646,
+      "loss": 5.4697,
+      "mean_token_accuracy": 0.15537519603967667,
+      "num_tokens": 6186918.0,
+      "step": 3395
+    },
+    {
+      "entropy": 5.566522169113159,
+      "epoch": 2.816901408450704,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044975053611282217,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.1613329365849495,
+      "num_tokens": 6196400.0,
+      "step": 3400
+    },
+    {
+      "entropy": 5.514105558395386,
+      "epoch": 2.821043910521955,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004495490686400706,
+      "loss": 5.3941,
+      "mean_token_accuracy": 0.1649619847536087,
+      "num_tokens": 6204849.0,
+      "step": 3405
+    },
+    {
+      "entropy": 5.615210485458374,
+      "epoch": 2.8251864125932062,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00044934724908277313,
+      "loss": 5.4834,
+      "mean_token_accuracy": 0.16362717300653457,
+      "num_tokens": 6214121.0,
+      "step": 3410
+    },
+    {
+      "entropy": 5.654720067977905,
+      "epoch": 2.8293289146644574,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044914507784802184,
+      "loss": 5.4835,
+      "mean_token_accuracy": 0.16509974151849746,
+      "num_tokens": 6223163.0,
+      "step": 3415
+    },
+    {
+      "entropy": 5.641624307632446,
+      "epoch": 2.8334714167357085,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004489425553436182,
+      "loss": 5.5084,
+      "mean_token_accuracy": 0.15882937759160995,
+      "num_tokens": 6231581.0,
+      "step": 3420
+    },
+    {
+      "entropy": 5.659383153915405,
+      "epoch": 2.8376139188069596,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00044873968197807213,
+      "loss": 5.5838,
+      "mean_token_accuracy": 0.1599879801273346,
+      "num_tokens": 6240015.0,
+      "step": 3425
+    },
+    {
+      "entropy": 5.666435050964355,
+      "epoch": 2.8417564208782107,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044853645816060156,
+      "loss": 5.5979,
+      "mean_token_accuracy": 0.1532062940299511,
+      "num_tokens": 6249083.0,
+      "step": 3430
+    },
+    {
+      "entropy": 5.6627098560333256,
+      "epoch": 2.8458989229494613,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00044833288430113104,
+      "loss": 5.5496,
+      "mean_token_accuracy": 0.1654196172952652,
+      "num_tokens": 6258798.0,
+      "step": 3435
+    },
+    {
+      "entropy": 5.609176588058472,
+      "epoch": 2.8500414250207124,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00044812896081029136,
+      "loss": 5.4023,
+      "mean_token_accuracy": 0.16617698073387147,
+      "num_tokens": 6267819.0,
+      "step": 3440
+    },
+    {
+      "entropy": 5.626215600967408,
+      "epoch": 2.8541839270919636,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004479246880994183,
+      "loss": 5.4804,
+      "mean_token_accuracy": 0.15876610353589057,
+      "num_tokens": 6276915.0,
+      "step": 3445
+    },
+    {
+      "entropy": 5.627827167510986,
+      "epoch": 2.8583264291632147,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004477200665805525,
+      "loss": 5.5216,
+      "mean_token_accuracy": 0.15861138105392455,
+      "num_tokens": 6285880.0,
+      "step": 3450
+    },
+    {
+      "entropy": 5.6323963642120365,
+      "epoch": 2.8624689312344658,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00044751509666643777,
+      "loss": 5.6351,
+      "mean_token_accuracy": 0.14970673844218255,
+      "num_tokens": 6295408.0,
+      "step": 3455
+    },
+    {
+      "entropy": 5.6166990280151365,
+      "epoch": 2.8666114333057164,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044730977877052084,
+      "loss": 5.3753,
+      "mean_token_accuracy": 0.16562075018882752,
+      "num_tokens": 6304110.0,
+      "step": 3460
+    },
+    {
+      "entropy": 5.669659185409546,
+      "epoch": 2.8707539353769675,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00044710411330695045,
+      "loss": 5.5254,
+      "mean_token_accuracy": 0.15842530727386475,
+      "num_tokens": 6312577.0,
+      "step": 3465
+    },
+    {
+      "entropy": 5.738371801376343,
+      "epoch": 2.8748964374482187,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00044689810069057615,
+      "loss": 5.606,
+      "mean_token_accuracy": 0.15023296922445298,
+      "num_tokens": 6321766.0,
+      "step": 3470
+    },
+    {
+      "entropy": 5.642851161956787,
+      "epoch": 2.8790389395194698,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004466917413369479,
+      "loss": 5.5731,
+      "mean_token_accuracy": 0.151870658993721,
+      "num_tokens": 6330327.0,
+      "step": 3475
+    },
+    {
+      "entropy": 5.577242517471314,
+      "epoch": 2.883181441590721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004464850356623152,
+      "loss": 5.4926,
+      "mean_token_accuracy": 0.16011006087064744,
+      "num_tokens": 6339596.0,
+      "step": 3480
+    },
+    {
+      "entropy": 5.613158226013184,
+      "epoch": 2.887323943661972,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00044627798408362597,
+      "loss": 5.3986,
+      "mean_token_accuracy": 0.1670537531375885,
+      "num_tokens": 6348080.0,
+      "step": 3485
+    },
+    {
+      "entropy": 5.613135099411011,
+      "epoch": 2.891466445733223,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004460705870185258,
+      "loss": 5.5277,
+      "mean_token_accuracy": 0.15435466170310974,
+      "num_tokens": 6357725.0,
+      "step": 3490
+    },
+    {
+      "entropy": 5.627930736541748,
+      "epoch": 2.8956089478044738,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004458628448853572,
+      "loss": 5.4831,
+      "mean_token_accuracy": 0.16073092967271804,
+      "num_tokens": 6366821.0,
+      "step": 3495
+    },
+    {
+      "entropy": 5.729347085952758,
+      "epoch": 2.899751449875725,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004456547581031589,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.15560299083590506,
+      "num_tokens": 6375641.0,
+      "step": 3500
+    },
+    {
+      "epoch": 2.899751449875725,
+      "eval_entropy": 5.414937326394673,
+      "eval_loss": 5.899942874908447,
+      "eval_mean_token_accuracy": 0.15183768343569629,
+      "eval_num_tokens": 6375641.0,
+      "eval_runtime": 2.9583,
+      "eval_samples_per_second": 1266.605,
+      "eval_steps_per_second": 158.537,
+      "step": 3500
+    },
+    {
+      "entropy": 5.548971128463745,
+      "epoch": 2.903893951946976,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004454463270916646,
+      "loss": 5.404,
+      "mean_token_accuracy": 0.1680065542459488,
+      "num_tokens": 6384596.0,
+      "step": 3505
+    },
+    {
+      "entropy": 5.719941425323486,
+      "epoch": 2.908036454018227,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004452375522713023,
+      "loss": 5.7474,
+      "mean_token_accuracy": 0.14030246064066887,
+      "num_tokens": 6395048.0,
+      "step": 3510
+    },
+    {
+      "entropy": 5.643452119827271,
+      "epoch": 2.912178956089478,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004450284340631938,
+      "loss": 5.5762,
+      "mean_token_accuracy": 0.15520212948322296,
+      "num_tokens": 6404828.0,
+      "step": 3515
+    },
+    {
+      "entropy": 5.627139854431152,
+      "epoch": 2.916321458160729,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044481897288915334,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.16042221039533616,
+      "num_tokens": 6414670.0,
+      "step": 3520
+    },
+    {
+      "entropy": 5.474701166152954,
+      "epoch": 2.92046396023198,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044460916917168697,
+      "loss": 5.3896,
+      "mean_token_accuracy": 0.16453512459993364,
+      "num_tokens": 6423446.0,
+      "step": 3525
+    },
+    {
+      "entropy": 5.5396312236785885,
+      "epoch": 2.924606462303231,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004443990233339918,
+      "loss": 5.4655,
+      "mean_token_accuracy": 0.1552535504102707,
+      "num_tokens": 6433412.0,
+      "step": 3530
+    },
+    {
+      "entropy": 5.652051544189453,
+      "epoch": 2.928748964374482,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004441885357999548,
+      "loss": 5.444,
+      "mean_token_accuracy": 0.1643453508615494,
+      "num_tokens": 6443520.0,
+      "step": 3535
+    },
+    {
+      "entropy": 5.674185514450073,
+      "epoch": 2.9328914664457333,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004439777069941524,
+      "loss": 5.5527,
+      "mean_token_accuracy": 0.15431721061468123,
+      "num_tokens": 6452933.0,
+      "step": 3540
+    },
+    {
+      "entropy": 5.550513553619385,
+      "epoch": 2.9370339685169844,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044376653734184935,
+      "loss": 5.3908,
+      "mean_token_accuracy": 0.16788479536771775,
+      "num_tokens": 6462113.0,
+      "step": 3545
+    },
+    {
+      "entropy": 5.468146800994873,
+      "epoch": 2.9411764705882355,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004435550272689979,
+      "loss": 5.4246,
+      "mean_token_accuracy": 0.16583772748708725,
+      "num_tokens": 6471411.0,
+      "step": 3550
+    },
+    {
+      "entropy": 5.662385082244873,
+      "epoch": 2.945318972659486,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00044334317720223706,
+      "loss": 5.532,
+      "mean_token_accuracy": 0.1599032275378704,
+      "num_tokens": 6480682.0,
+      "step": 3555
+    },
+    {
+      "entropy": 5.678339672088623,
+      "epoch": 2.9494614747307373,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00044313098756889154,
+      "loss": 5.5754,
+      "mean_token_accuracy": 0.15587076246738435,
+      "num_tokens": 6490614.0,
+      "step": 3560
+    },
+    {
+      "entropy": 5.585533094406128,
+      "epoch": 2.9536039768019884,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004429184587969708,
+      "loss": 5.4273,
+      "mean_token_accuracy": 0.16405707746744155,
+      "num_tokens": 6499079.0,
+      "step": 3565
+    },
+    {
+      "entropy": 5.668995666503906,
+      "epoch": 2.9577464788732395,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004427055913151689,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.14727827310562133,
+      "num_tokens": 6508556.0,
+      "step": 3570
+    },
+    {
+      "entropy": 5.70610499382019,
+      "epoch": 2.9618889809444906,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004424923855528626,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.15901169627904893,
+      "num_tokens": 6517934.0,
+      "step": 3575
+    },
+    {
+      "entropy": 5.614701509475708,
+      "epoch": 2.9660314830157413,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004422788419401114,
+      "loss": 5.4321,
+      "mean_token_accuracy": 0.1702651560306549,
+      "num_tokens": 6526995.0,
+      "step": 3580
+    },
+    {
+      "entropy": 5.572284936904907,
+      "epoch": 2.9701739850869924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00044206496090765595,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1573972523212433,
+      "num_tokens": 6535264.0,
+      "step": 3585
+    },
+    {
+      "entropy": 5.610080623626709,
+      "epoch": 2.9743164871582435,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00044185074288691776,
+      "loss": 5.3994,
+      "mean_token_accuracy": 0.1746336281299591,
+      "num_tokens": 6544498.0,
+      "step": 3590
+    },
+    {
+      "entropy": 5.582769393920898,
+      "epoch": 2.9784589892294946,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044163618830999794,
+      "loss": 5.5098,
+      "mean_token_accuracy": 0.16030704230070114,
+      "num_tokens": 6554761.0,
+      "step": 3595
+    },
+    {
+      "entropy": 5.603819417953491,
+      "epoch": 2.9826014913007457,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044142129760967643,
+      "loss": 5.5614,
+      "mean_token_accuracy": 0.15714355707168579,
+      "num_tokens": 6564039.0,
+      "step": 3600
+    },
+    {
+      "entropy": 5.679829835891724,
+      "epoch": 2.986743993371997,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004412060712194115,
+      "loss": 5.5068,
+      "mean_token_accuracy": 0.15993095487356185,
+      "num_tokens": 6572559.0,
+      "step": 3605
+    },
+    {
+      "entropy": 5.589264869689941,
+      "epoch": 2.990886495443248,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004409905095733381,
+      "loss": 5.4931,
+      "mean_token_accuracy": 0.1612076446413994,
+      "num_tokens": 6581621.0,
+      "step": 3610
+    },
+    {
+      "entropy": 5.550649166107178,
+      "epoch": 2.995028997514499,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00044077461310626764,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.15403861105442046,
+      "num_tokens": 6590353.0,
+      "step": 3615
+    },
+    {
+      "entropy": 5.64892258644104,
+      "epoch": 2.9991714995857497,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000440558382253687,
+      "loss": 5.4575,
+      "mean_token_accuracy": 0.16497674435377122,
+      "num_tokens": 6598822.0,
+      "step": 3620
+    },
+    {
+      "entropy": 5.5967165470123295,
+      "epoch": 3.003314001657001,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004403418174517573,
+      "loss": 5.2529,
+      "mean_token_accuracy": 0.16683556884527206,
+      "num_tokens": 6606728.0,
+      "step": 3625
+    },
+    {
+      "entropy": 5.599476623535156,
+      "epoch": 3.007456503728252,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044012491913731353,
+      "loss": 5.1756,
+      "mean_token_accuracy": 0.1743481546640396,
+      "num_tokens": 6616226.0,
+      "step": 3630
+    },
+    {
+      "entropy": 5.5095573425292965,
+      "epoch": 3.011599005799503,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004399076877478632,
+      "loss": 5.0266,
+      "mean_token_accuracy": 0.1868550017476082,
+      "num_tokens": 6624801.0,
+      "step": 3635
+    },
+    {
+      "entropy": 5.60879430770874,
+      "epoch": 3.015741507870754,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004396901237215858,
+      "loss": 5.2209,
+      "mean_token_accuracy": 0.16688485741615294,
+      "num_tokens": 6633043.0,
+      "step": 3640
+    },
+    {
+      "entropy": 5.538025426864624,
+      "epoch": 3.019884009942005,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043947222749733173,
+      "loss": 5.1692,
+      "mean_token_accuracy": 0.17499702274799347,
+      "num_tokens": 6641197.0,
+      "step": 3645
+    },
+    {
+      "entropy": 5.586767101287842,
+      "epoch": 3.024026512013256,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043925399951462153,
+      "loss": 5.2064,
+      "mean_token_accuracy": 0.1801098555326462,
+      "num_tokens": 6650411.0,
+      "step": 3650
+    },
+    {
+      "entropy": 5.4191618919372555,
+      "epoch": 3.028169014084507,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004390354402136449,
+      "loss": 5.0903,
+      "mean_token_accuracy": 0.17804521024227143,
+      "num_tokens": 6659405.0,
+      "step": 3655
+    },
+    {
+      "entropy": 5.583788824081421,
+      "epoch": 3.032311516155758,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0004388165500352597,
+      "loss": 5.1642,
+      "mean_token_accuracy": 0.17557908743619918,
+      "num_tokens": 6667701.0,
+      "step": 3660
+    },
+    {
+      "entropy": 5.614604902267456,
+      "epoch": 3.036454018227009,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004385973294209915,
+      "loss": 5.1881,
+      "mean_token_accuracy": 0.17808027267456056,
+      "num_tokens": 6676801.0,
+      "step": 3665
+    },
+    {
+      "entropy": 5.457578706741333,
+      "epoch": 3.0405965202982603,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004383777788130321,
+      "loss": 5.083,
+      "mean_token_accuracy": 0.17836775481700898,
+      "num_tokens": 6686005.0,
+      "step": 3670
+    },
+    {
+      "entropy": 5.479088068008423,
+      "epoch": 3.044739022369511,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004381578986542393,
+      "loss": 5.0937,
+      "mean_token_accuracy": 0.17960153371095658,
+      "num_tokens": 6694884.0,
+      "step": 3675
+    },
+    {
+      "entropy": 5.501745700836182,
+      "epoch": 3.048881524440762,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004379376893881352,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.17827630788087845,
+      "num_tokens": 6703476.0,
+      "step": 3680
+    },
+    {
+      "entropy": 5.616245269775391,
+      "epoch": 3.053024026512013,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004377171514589059,
+      "loss": 5.2531,
+      "mean_token_accuracy": 0.1736731931567192,
+      "num_tokens": 6712576.0,
+      "step": 3685
+    },
+    {
+      "entropy": 5.398316955566406,
+      "epoch": 3.0571665285832643,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004374962853114007,
+      "loss": 5.0545,
+      "mean_token_accuracy": 0.18062082678079605,
+      "num_tokens": 6721532.0,
+      "step": 3690
+    },
+    {
+      "entropy": 5.480774354934693,
+      "epoch": 3.0613090306545154,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004372750913911306,
+      "loss": 5.1028,
+      "mean_token_accuracy": 0.18300070911645888,
+      "num_tokens": 6730055.0,
+      "step": 3695
+    },
+    {
+      "entropy": 5.446919918060303,
+      "epoch": 3.0654515327257665,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004370535701442679,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.17969694286584853,
+      "num_tokens": 6739310.0,
+      "step": 3700
+    },
+    {
+      "entropy": 5.54828953742981,
+      "epoch": 3.069594034797017,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043683172201764537,
+      "loss": 5.2581,
+      "mean_token_accuracy": 0.16716694980859756,
+      "num_tokens": 6748976.0,
+      "step": 3705
+    },
+    {
+      "entropy": 5.539231872558593,
+      "epoch": 3.0737365368682683,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004366095474587547,
+      "loss": 5.1044,
+      "mean_token_accuracy": 0.17598106861114501,
+      "num_tokens": 6758043.0,
+      "step": 3710
+    },
+    {
+      "entropy": 5.500854778289795,
+      "epoch": 3.0778790389395194,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00043638704691574646,
+      "loss": 5.163,
+      "mean_token_accuracy": 0.1786232903599739,
+      "num_tokens": 6767554.0,
+      "step": 3715
+    },
+    {
+      "entropy": 5.560473966598511,
+      "epoch": 3.0820215410107705,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004361642208374283,
+      "loss": 5.1882,
+      "mean_token_accuracy": 0.1666739672422409,
+      "num_tokens": 6776161.0,
+      "step": 3720
+    },
+    {
+      "entropy": 5.476630401611328,
+      "epoch": 3.0861640430820216,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043594106967326495,
+      "loss": 5.1169,
+      "mean_token_accuracy": 0.17555084377527236,
+      "num_tokens": 6785371.0,
+      "step": 3725
+    },
+    {
+      "entropy": 5.494755983352661,
+      "epoch": 3.0903065451532727,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00043571759387337665,
+      "loss": 5.1456,
+      "mean_token_accuracy": 0.1808715656399727,
+      "num_tokens": 6795242.0,
+      "step": 3730
+    },
+    {
+      "entropy": 5.591760492324829,
+      "epoch": 3.0944490472245234,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004354937938885385,
+      "loss": 5.2235,
+      "mean_token_accuracy": 0.17338325083255768,
+      "num_tokens": 6805423.0,
+      "step": 3735
+    },
+    {
+      "entropy": 5.464981889724731,
+      "epoch": 3.0985915492957745,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004352696701701796,
+      "loss": 5.1469,
+      "mean_token_accuracy": 0.17880967408418655,
+      "num_tokens": 6814377.0,
+      "step": 3740
+    },
+    {
+      "entropy": 5.448660278320313,
+      "epoch": 3.1027340513670256,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004350452231703819,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.18132367432117463,
+      "num_tokens": 6824025.0,
+      "step": 3745
+    },
+    {
+      "entropy": 5.550149536132812,
+      "epoch": 3.1068765534382767,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043482045334187954,
+      "loss": 5.1273,
+      "mean_token_accuracy": 0.18649032860994338,
+      "num_tokens": 6833071.0,
+      "step": 3750
+    },
+    {
+      "entropy": 5.442513799667358,
+      "epoch": 3.111019055509528,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043459536113805785,
+      "loss": 5.1076,
+      "mean_token_accuracy": 0.17443138360977173,
+      "num_tokens": 6841983.0,
+      "step": 3755
+    },
+    {
+      "entropy": 5.447629022598266,
+      "epoch": 3.115161557580779,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00043436994701295237,
+      "loss": 5.1043,
+      "mean_token_accuracy": 0.17914267033338546,
+      "num_tokens": 6851436.0,
+      "step": 3760
+    },
+    {
+      "entropy": 5.461205101013183,
+      "epoch": 3.1193040596520296,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00043414421142124804,
+      "loss": 5.1836,
+      "mean_token_accuracy": 0.1672696813941002,
+      "num_tokens": 6861810.0,
+      "step": 3765
+    },
+    {
+      "entropy": 5.478553342819214,
+      "epoch": 3.1234465617232807,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00043391815481827814,
+      "loss": 5.0639,
+      "mean_token_accuracy": 0.18850475996732713,
+      "num_tokens": 6870418.0,
+      "step": 3770
+    },
+    {
+      "entropy": 5.41155161857605,
+      "epoch": 3.127589063794532,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004336917776600237,
+      "loss": 5.0683,
+      "mean_token_accuracy": 0.18221812546253205,
+      "num_tokens": 6879419.0,
+      "step": 3775
+    },
+    {
+      "entropy": 5.435874891281128,
+      "epoch": 3.131731565865783,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004334650804031122,
+      "loss": 5.1852,
+      "mean_token_accuracy": 0.17172302156686783,
+      "num_tokens": 6888768.0,
+      "step": 3780
+    },
+    {
+      "entropy": 5.507850646972656,
+      "epoch": 3.135874067937034,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004332380635048165,
+      "loss": 5.1296,
+      "mean_token_accuracy": 0.17900288552045823,
+      "num_tokens": 6897133.0,
+      "step": 3785
+    },
+    {
+      "entropy": 5.485491752624512,
+      "epoch": 3.140016570008285,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00043301072742305474,
+      "loss": 5.1773,
+      "mean_token_accuracy": 0.17168077528476716,
+      "num_tokens": 6904976.0,
+      "step": 3790
+    },
+    {
+      "entropy": 5.537312364578247,
+      "epoch": 3.1441590720795363,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0004327830726163886,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.17883574068546296,
+      "num_tokens": 6915138.0,
+      "step": 3795
+    },
+    {
+      "entropy": 5.548703718185425,
+      "epoch": 3.148301574150787,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0004325550995440226,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.1752033144235611,
+      "num_tokens": 6923962.0,
+      "step": 3800
+    },
+    {
+      "entropy": 5.386642169952393,
+      "epoch": 3.152444076222038,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043232680866580356,
+      "loss": 5.1478,
+      "mean_token_accuracy": 0.17952724993228913,
+      "num_tokens": 6932102.0,
+      "step": 3805
+    },
+    {
+      "entropy": 5.464086627960205,
+      "epoch": 3.156586578293289,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00043209820044221893,
+      "loss": 5.153,
+      "mean_token_accuracy": 0.1785269558429718,
+      "num_tokens": 6940354.0,
+      "step": 3810
+    },
+    {
+      "entropy": 5.4963922023773195,
+      "epoch": 3.1607290803645403,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00043186927533439654,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.1716633692383766,
+      "num_tokens": 6949779.0,
+      "step": 3815
+    },
+    {
+      "entropy": 5.536400413513183,
+      "epoch": 3.1648715824357914,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043164003380410335,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.17445194274187087,
+      "num_tokens": 6958760.0,
+      "step": 3820
+    },
+    {
+      "entropy": 5.486375331878662,
+      "epoch": 3.169014084507042,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004314104763137445,
+      "loss": 5.1037,
+      "mean_token_accuracy": 0.18134674280881882,
+      "num_tokens": 6967535.0,
+      "step": 3825
+    },
+    {
+      "entropy": 5.469356393814087,
+      "epoch": 3.173156586578293,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043118060332636264,
+      "loss": 5.2036,
+      "mean_token_accuracy": 0.17774708271026612,
+      "num_tokens": 6976211.0,
+      "step": 3830
+    },
+    {
+      "entropy": 5.576221227645874,
+      "epoch": 3.1772990886495442,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043095041530563665,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.17325948774814606,
+      "num_tokens": 6986001.0,
+      "step": 3835
+    },
+    {
+      "entropy": 5.420689487457276,
+      "epoch": 3.1814415907207954,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00043071991271588104,
+      "loss": 5.2006,
+      "mean_token_accuracy": 0.18302187621593474,
+      "num_tokens": 6994568.0,
+      "step": 3840
+    },
+    {
+      "entropy": 5.52434401512146,
+      "epoch": 3.1855840927920465,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004304890960220446,
+      "loss": 5.2921,
+      "mean_token_accuracy": 0.16869494169950486,
+      "num_tokens": 7004744.0,
+      "step": 3845
+    },
+    {
+      "entropy": 5.520354557037353,
+      "epoch": 3.1897265948632976,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043025796568970975,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.1696591019630432,
+      "num_tokens": 7014315.0,
+      "step": 3850
+    },
+    {
+      "entropy": 5.523347425460815,
+      "epoch": 3.1938690969345487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043002652218509184,
+      "loss": 5.1172,
+      "mean_token_accuracy": 0.18450311720371246,
+      "num_tokens": 7022258.0,
+      "step": 3855
+    },
+    {
+      "entropy": 5.522213459014893,
+      "epoch": 3.1980115990057993,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004297947659750376,
+      "loss": 5.2587,
+      "mean_token_accuracy": 0.1674624815583229,
+      "num_tokens": 7031732.0,
+      "step": 3860
+    },
+    {
+      "entropy": 5.467557621002197,
+      "epoch": 3.2021541010770505,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004295626975270246,
+      "loss": 5.1818,
+      "mean_token_accuracy": 0.1766605108976364,
+      "num_tokens": 7040478.0,
+      "step": 3865
+    },
+    {
+      "entropy": 5.490935039520264,
+      "epoch": 3.2062966031483016,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00042933031730916024,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.18396904766559602,
+      "num_tokens": 7049360.0,
+      "step": 3870
+    },
+    {
+      "entropy": 5.5688018798828125,
+      "epoch": 3.2104391052195527,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000429097625790181,
+      "loss": 5.2267,
+      "mean_token_accuracy": 0.17498258501291275,
+      "num_tokens": 7059271.0,
+      "step": 3875
+    },
+    {
+      "entropy": 5.398471450805664,
+      "epoch": 3.2145816072908038,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004288646234394508,
+      "loss": 5.2177,
+      "mean_token_accuracy": 0.17296054661273957,
+      "num_tokens": 7069038.0,
+      "step": 3880
+    },
+    {
+      "entropy": 5.5407984256744385,
+      "epoch": 3.218724109362055,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00042863131072696115,
+      "loss": 5.1617,
+      "mean_token_accuracy": 0.17704827934503556,
+      "num_tokens": 7077971.0,
+      "step": 3885
+    },
+    {
+      "entropy": 5.4559561252594,
+      "epoch": 3.2228666114333056,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00042839768812332905,
+      "loss": 5.1612,
+      "mean_token_accuracy": 0.17406544089317322,
+      "num_tokens": 7086821.0,
+      "step": 3890
+    },
+    {
+      "entropy": 5.419722366333008,
+      "epoch": 3.2270091135045567,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000428163756099797,
+      "loss": 5.1859,
+      "mean_token_accuracy": 0.17225482910871506,
+      "num_tokens": 7095407.0,
+      "step": 3895
+    },
+    {
+      "entropy": 5.48249921798706,
+      "epoch": 3.2311516155758078,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004279295151282314,
+      "loss": 5.1116,
+      "mean_token_accuracy": 0.18240531533956528,
+      "num_tokens": 7103964.0,
+      "step": 3900
+    },
+    {
+      "entropy": 5.564240264892578,
+      "epoch": 3.235294117647059,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004276949656811217,
+      "loss": 5.251,
+      "mean_token_accuracy": 0.17079487890005113,
+      "num_tokens": 7113571.0,
+      "step": 3905
+    },
+    {
+      "entropy": 5.522033739089966,
+      "epoch": 3.23943661971831,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00042746010823158006,
+      "loss": 5.2738,
+      "mean_token_accuracy": 0.17067040055990218,
+      "num_tokens": 7122844.0,
+      "step": 3910
+    },
+    {
+      "entropy": 5.4324219703674315,
+      "epoch": 3.243579121789561,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042722494325333945,
+      "loss": 5.1326,
+      "mean_token_accuracy": 0.176889306306839,
+      "num_tokens": 7132123.0,
+      "step": 3915
+    },
+    {
+      "entropy": 5.458636379241943,
+      "epoch": 3.2477216238608118,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004269894712207533,
+      "loss": 5.1819,
+      "mean_token_accuracy": 0.18051923513412477,
+      "num_tokens": 7141068.0,
+      "step": 3920
+    },
+    {
+      "entropy": 5.43212571144104,
+      "epoch": 3.251864125932063,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004267536926087947,
+      "loss": 5.1925,
+      "mean_token_accuracy": 0.1708641156554222,
+      "num_tokens": 7150829.0,
+      "step": 3925
+    },
+    {
+      "entropy": 5.458031702041626,
+      "epoch": 3.256006628003314,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004265176078930545,
+      "loss": 5.1703,
+      "mean_token_accuracy": 0.17345706522464752,
+      "num_tokens": 7160814.0,
+      "step": 3930
+    },
+    {
+      "entropy": 5.498150825500488,
+      "epoch": 3.260149130074565,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00042628121754974166,
+      "loss": 5.2634,
+      "mean_token_accuracy": 0.17203340232372283,
+      "num_tokens": 7170085.0,
+      "step": 3935
+    },
+    {
+      "entropy": 5.590339422225952,
+      "epoch": 3.264291632145816,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004260445220556811,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.1736685037612915,
+      "num_tokens": 7179366.0,
+      "step": 3940
+    },
+    {
+      "entropy": 5.52174072265625,
+      "epoch": 3.2684341342170673,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00042580752188831376,
+      "loss": 5.2819,
+      "mean_token_accuracy": 0.17067586481571198,
+      "num_tokens": 7188342.0,
+      "step": 3945
+    },
+    {
+      "entropy": 5.556540441513062,
+      "epoch": 3.272576636288318,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004255702175256946,
+      "loss": 5.3095,
+      "mean_token_accuracy": 0.17531315684318544,
+      "num_tokens": 7197466.0,
+      "step": 3950
+    },
+    {
+      "entropy": 5.42687840461731,
+      "epoch": 3.276719138359569,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00042533260944649273,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17852312475442886,
+      "num_tokens": 7205462.0,
+      "step": 3955
+    },
+    {
+      "entropy": 5.424286890029907,
+      "epoch": 3.28086164043082,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004250946981299893,
+      "loss": 5.1838,
+      "mean_token_accuracy": 0.17682615667581558,
+      "num_tokens": 7215115.0,
+      "step": 3960
+    },
+    {
+      "entropy": 5.459038209915161,
+      "epoch": 3.2850041425020713,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00042485648405607776,
+      "loss": 5.1379,
+      "mean_token_accuracy": 0.17029522657394408,
+      "num_tokens": 7224909.0,
+      "step": 3965
+    },
+    {
+      "entropy": 5.392039203643799,
+      "epoch": 3.2891466445733224,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004246179677052617,
+      "loss": 5.0642,
+      "mean_token_accuracy": 0.18698266595602037,
+      "num_tokens": 7232946.0,
+      "step": 3970
+    },
+    {
+      "entropy": 5.362467432022095,
+      "epoch": 3.2932891466445735,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004243791495586547,
+      "loss": 5.1736,
+      "mean_token_accuracy": 0.17996304631233215,
+      "num_tokens": 7241104.0,
+      "step": 3975
+    },
+    {
+      "entropy": 5.567073392868042,
+      "epoch": 3.297431648715824,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004241400300979791,
+      "loss": 5.2257,
+      "mean_token_accuracy": 0.1786801502108574,
+      "num_tokens": 7250749.0,
+      "step": 3980
+    },
+    {
+      "entropy": 5.447740983963013,
+      "epoch": 3.3015741507870753,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004239006098055651,
+      "loss": 5.124,
+      "mean_token_accuracy": 0.1787547677755356,
+      "num_tokens": 7258687.0,
+      "step": 3985
+    },
+    {
+      "entropy": 5.41381049156189,
+      "epoch": 3.3057166528583264,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004236608891643494,
+      "loss": 5.1572,
+      "mean_token_accuracy": 0.17702401280403138,
+      "num_tokens": 7267316.0,
+      "step": 3990
+    },
+    {
+      "entropy": 5.448715782165527,
+      "epoch": 3.3098591549295775,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004234208686578748,
+      "loss": 5.1777,
+      "mean_token_accuracy": 0.17505329996347427,
+      "num_tokens": 7276734.0,
+      "step": 3995
+    },
+    {
+      "entropy": 5.440592193603516,
+      "epoch": 3.3140016570008286,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00042318054877028876,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17840310037136078,
+      "num_tokens": 7285916.0,
+      "step": 4000
+    },
+    {
+      "epoch": 3.3140016570008286,
+      "eval_entropy": 5.363256025416002,
+      "eval_loss": 5.893955707550049,
+      "eval_mean_token_accuracy": 0.15349840453819935,
+      "eval_num_tokens": 7285916.0,
+      "eval_runtime": 2.7471,
+      "eval_samples_per_second": 1363.961,
+      "eval_steps_per_second": 170.723,
+      "step": 4000
+    },
+    {
+      "entropy": 5.487448406219483,
+      "epoch": 3.3181441590720797,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042293992998634314,
+      "loss": 5.1667,
+      "mean_token_accuracy": 0.17779863625764847,
+      "num_tokens": 7294184.0,
+      "step": 4005
+    },
+    {
+      "entropy": 5.414953899383545,
+      "epoch": 3.3222866611433304,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004226990127913918,
+      "loss": 5.177,
+      "mean_token_accuracy": 0.1768763244152069,
+      "num_tokens": 7302647.0,
+      "step": 4010
+    },
+    {
+      "entropy": 5.442982530593872,
+      "epoch": 3.3264291632145815,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004224577976713915,
+      "loss": 5.2506,
+      "mean_token_accuracy": 0.16832198798656464,
+      "num_tokens": 7311455.0,
+      "step": 4015
+    },
+    {
+      "entropy": 5.609448575973511,
+      "epoch": 3.3305716652858326,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00042221628511289927,
+      "loss": 5.3136,
+      "mean_token_accuracy": 0.16625809520483018,
+      "num_tokens": 7320978.0,
+      "step": 4020
+    },
+    {
+      "entropy": 5.612923622131348,
+      "epoch": 3.3347141673570837,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004219744756030723,
+      "loss": 5.3273,
+      "mean_token_accuracy": 0.16872513592243193,
+      "num_tokens": 7330202.0,
+      "step": 4025
+    },
+    {
+      "entropy": 5.4015247344970705,
+      "epoch": 3.338856669428335,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00042173236962966706,
+      "loss": 5.1649,
+      "mean_token_accuracy": 0.17969190180301667,
+      "num_tokens": 7339121.0,
+      "step": 4030
+    },
+    {
+      "entropy": 5.492907905578614,
+      "epoch": 3.342999171499586,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004214899676810375,
+      "loss": 5.2251,
+      "mean_token_accuracy": 0.1665240079164505,
+      "num_tokens": 7348631.0,
+      "step": 4035
+    },
+    {
+      "entropy": 5.469464063644409,
+      "epoch": 3.347141673570837,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004212472702461348,
+      "loss": 5.1843,
+      "mean_token_accuracy": 0.1820875510573387,
+      "num_tokens": 7358354.0,
+      "step": 4040
+    },
+    {
+      "entropy": 5.454071807861328,
+      "epoch": 3.3512841756420877,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004210042778145064,
+      "loss": 5.2038,
+      "mean_token_accuracy": 0.17285584658384323,
+      "num_tokens": 7367031.0,
+      "step": 4045
+    },
+    {
+      "entropy": 5.436822319030762,
+      "epoch": 3.355426677713339,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00042076099087629443,
+      "loss": 5.2025,
+      "mean_token_accuracy": 0.1784903883934021,
+      "num_tokens": 7375996.0,
+      "step": 4050
+    },
+    {
+      "entropy": 5.552537536621093,
+      "epoch": 3.35956917978459,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00042051740992223534,
+      "loss": 5.2567,
+      "mean_token_accuracy": 0.16439318358898164,
+      "num_tokens": 7385355.0,
+      "step": 4055
+    },
+    {
+      "entropy": 5.402252960205078,
+      "epoch": 3.363711681855841,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004202735354436586,
+      "loss": 5.0999,
+      "mean_token_accuracy": 0.1792566418647766,
+      "num_tokens": 7394384.0,
+      "step": 4060
+    },
+    {
+      "entropy": 5.511481237411499,
+      "epoch": 3.367854183927092,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00042002936793248546,
+      "loss": 5.2458,
+      "mean_token_accuracy": 0.1770971804857254,
+      "num_tokens": 7403141.0,
+      "step": 4065
+    },
+    {
+      "entropy": 5.508409786224365,
+      "epoch": 3.371996685998343,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004197849078812286,
+      "loss": 5.199,
+      "mean_token_accuracy": 0.1739865079522133,
+      "num_tokens": 7413331.0,
+      "step": 4070
+    },
+    {
+      "entropy": 5.471702003479004,
+      "epoch": 3.376139188069594,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004195401557829907,
+      "loss": 5.2368,
+      "mean_token_accuracy": 0.17052597552537918,
+      "num_tokens": 7422362.0,
+      "step": 4075
+    },
+    {
+      "entropy": 5.4563977241516115,
+      "epoch": 3.380281690140845,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041929511213146343,
+      "loss": 5.1661,
+      "mean_token_accuracy": 0.18033864200115204,
+      "num_tokens": 7431350.0,
+      "step": 4080
+    },
+    {
+      "entropy": 5.4815953254699705,
+      "epoch": 3.384424192212096,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004190497774209266,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.1800685152411461,
+      "num_tokens": 7440382.0,
+      "step": 4085
+    },
+    {
+      "entropy": 5.51438536643982,
+      "epoch": 3.3885666942833472,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00041880415214624715,
+      "loss": 5.2355,
+      "mean_token_accuracy": 0.17847414761781694,
+      "num_tokens": 7449357.0,
+      "step": 4090
+    },
+    {
+      "entropy": 5.463125705718994,
+      "epoch": 3.3927091963545983,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004185582368028781,
+      "loss": 5.1468,
+      "mean_token_accuracy": 0.1853232800960541,
+      "num_tokens": 7457544.0,
+      "step": 4095
+    },
+    {
+      "entropy": 5.409591102600098,
+      "epoch": 3.3968516984258494,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004183120318868577,
+      "loss": 5.1616,
+      "mean_token_accuracy": 0.18774343580007552,
+      "num_tokens": 7465915.0,
+      "step": 4100
+    },
+    {
+      "entropy": 5.435869741439819,
+      "epoch": 3.4009942004971,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00041806553789480787,
+      "loss": 5.1161,
+      "mean_token_accuracy": 0.1833360970020294,
+      "num_tokens": 7474551.0,
+      "step": 4105
+    },
+    {
+      "entropy": 5.507905626296997,
+      "epoch": 3.405136702568351,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00041781875532393423,
+      "loss": 5.2287,
+      "mean_token_accuracy": 0.17473389357328414,
+      "num_tokens": 7483271.0,
+      "step": 4110
+    },
+    {
+      "entropy": 5.474280261993409,
+      "epoch": 3.4092792046396023,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00041757168467202404,
+      "loss": 5.2371,
+      "mean_token_accuracy": 0.17051266878843307,
+      "num_tokens": 7493179.0,
+      "step": 4115
+    },
+    {
+      "entropy": 5.47375521659851,
+      "epoch": 3.4134217067108534,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00041732432643744576,
+      "loss": 5.2132,
+      "mean_token_accuracy": 0.17562344074249267,
+      "num_tokens": 7501858.0,
+      "step": 4120
+    },
+    {
+      "entropy": 5.562008953094482,
+      "epoch": 3.4175642087821045,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004170766811191481,
+      "loss": 5.282,
+      "mean_token_accuracy": 0.16895801872014998,
+      "num_tokens": 7511817.0,
+      "step": 4125
+    },
+    {
+      "entropy": 5.3949895858764645,
+      "epoch": 3.421706710853355,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.0004168287492166587,
+      "loss": 5.2513,
+      "mean_token_accuracy": 0.175115604698658,
+      "num_tokens": 7521655.0,
+      "step": 4130
+    },
+    {
+      "entropy": 5.478516006469727,
+      "epoch": 3.4258492129246063,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041658053123008325,
+      "loss": 5.2289,
+      "mean_token_accuracy": 0.17174260020256044,
+      "num_tokens": 7531321.0,
+      "step": 4135
+    },
+    {
+      "entropy": 5.469200515747071,
+      "epoch": 3.4299917149958574,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004163320276601046,
+      "loss": 5.2104,
+      "mean_token_accuracy": 0.17538849860429764,
+      "num_tokens": 7540613.0,
+      "step": 4140
+    },
+    {
+      "entropy": 5.478423690795898,
+      "epoch": 3.4341342170671085,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004160832390079816,
+      "loss": 5.2823,
+      "mean_token_accuracy": 0.17514234632253647,
+      "num_tokens": 7549598.0,
+      "step": 4145
+    },
+    {
+      "entropy": 5.449503993988037,
+      "epoch": 3.4382767191383596,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00041583416577554815,
+      "loss": 5.1509,
+      "mean_token_accuracy": 0.18169643133878707,
+      "num_tokens": 7558738.0,
+      "step": 4150
+    },
+    {
+      "entropy": 5.454873323440552,
+      "epoch": 3.4424192212096107,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041558480846521213,
+      "loss": 5.1996,
+      "mean_token_accuracy": 0.17627429366111755,
+      "num_tokens": 7566873.0,
+      "step": 4155
+    },
+    {
+      "entropy": 5.413073778152466,
+      "epoch": 3.446561723280862,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041533516757995455,
+      "loss": 5.18,
+      "mean_token_accuracy": 0.1794169783592224,
+      "num_tokens": 7576645.0,
+      "step": 4160
+    },
+    {
+      "entropy": 5.449489498138428,
+      "epoch": 3.4507042253521125,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004150852436233283,
+      "loss": 5.1844,
+      "mean_token_accuracy": 0.17338148206472398,
+      "num_tokens": 7584854.0,
+      "step": 4165
+    },
+    {
+      "entropy": 5.500524044036865,
+      "epoch": 3.4548467274233636,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004148350370994574,
+      "loss": 5.3142,
+      "mean_token_accuracy": 0.16781232208013536,
+      "num_tokens": 7594022.0,
+      "step": 4170
+    },
+    {
+      "entropy": 5.458495187759399,
+      "epoch": 3.4589892294946147,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004145845485130357,
+      "loss": 5.1757,
+      "mean_token_accuracy": 0.17461147904396057,
+      "num_tokens": 7603259.0,
+      "step": 4175
+    },
+    {
+      "entropy": 5.453242301940918,
+      "epoch": 3.463131731565866,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00041433377836932594,
+      "loss": 5.2853,
+      "mean_token_accuracy": 0.1680028423666954,
+      "num_tokens": 7613451.0,
+      "step": 4180
+    },
+    {
+      "entropy": 5.533868455886841,
+      "epoch": 3.467274233637117,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00041408272717415913,
+      "loss": 5.245,
+      "mean_token_accuracy": 0.17225596755743028,
+      "num_tokens": 7622218.0,
+      "step": 4185
+    },
+    {
+      "entropy": 5.351213121414185,
+      "epoch": 3.4714167357083676,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004138313954339327,
+      "loss": 5.104,
+      "mean_token_accuracy": 0.17463669180870056,
+      "num_tokens": 7630508.0,
+      "step": 4190
+    },
+    {
+      "entropy": 5.488496780395508,
+      "epoch": 3.4755592377796187,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004135797836556106,
+      "loss": 5.1982,
+      "mean_token_accuracy": 0.181541608273983,
+      "num_tokens": 7640141.0,
+      "step": 4195
+    },
+    {
+      "entropy": 5.459699392318726,
+      "epoch": 3.47970173985087,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041332789234672094,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1721531167626381,
+      "num_tokens": 7648764.0,
+      "step": 4200
+    },
+    {
+      "entropy": 5.406872129440307,
+      "epoch": 3.483844241922121,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004130757220153561,
+      "loss": 5.1952,
+      "mean_token_accuracy": 0.18173792064189911,
+      "num_tokens": 7658642.0,
+      "step": 4205
+    },
+    {
+      "entropy": 5.544135618209839,
+      "epoch": 3.487986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004128232731701712,
+      "loss": 5.377,
+      "mean_token_accuracy": 0.16519460082054138,
+      "num_tokens": 7667524.0,
+      "step": 4210
+    },
+    {
+      "entropy": 5.488169002532959,
+      "epoch": 3.492129246064623,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004125705463203833,
+      "loss": 5.1928,
+      "mean_token_accuracy": 0.18297115415334703,
+      "num_tokens": 7675800.0,
+      "step": 4215
+    },
+    {
+      "entropy": 5.490040969848633,
+      "epoch": 3.4962717481358743,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041231754197576986,
+      "loss": 5.2252,
+      "mean_token_accuracy": 0.1757526621222496,
+      "num_tokens": 7683742.0,
+      "step": 4220
+    },
+    {
+      "entropy": 5.468280076980591,
+      "epoch": 3.5004142502071254,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004120642606466685,
+      "loss": 5.2278,
+      "mean_token_accuracy": 0.1796238511800766,
+      "num_tokens": 7692379.0,
+      "step": 4225
+    },
+    {
+      "entropy": 5.494374942779541,
+      "epoch": 3.504556752278376,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004118107028439751,
+      "loss": 5.2138,
+      "mean_token_accuracy": 0.17588699012994766,
+      "num_tokens": 7702156.0,
+      "step": 4230
+    },
+    {
+      "entropy": 5.467664003372192,
+      "epoch": 3.508699254349627,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00041155686907914365,
+      "loss": 5.2275,
+      "mean_token_accuracy": 0.1754150867462158,
+      "num_tokens": 7712135.0,
+      "step": 4235
+    },
+    {
+      "entropy": 5.451332426071167,
+      "epoch": 3.5128417564208783,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004113027598641845,
+      "loss": 5.1785,
+      "mean_token_accuracy": 0.1752738744020462,
+      "num_tokens": 7721347.0,
+      "step": 4240
+    },
+    {
+      "entropy": 5.471200275421142,
+      "epoch": 3.5169842584921294,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004110483757116637,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.1789921909570694,
+      "num_tokens": 7731351.0,
+      "step": 4245
+    },
+    {
+      "entropy": 5.433224248886108,
+      "epoch": 3.52112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00041079371713470195,
+      "loss": 5.0996,
+      "mean_token_accuracy": 0.18778069019317628,
+      "num_tokens": 7740413.0,
+      "step": 4250
+    },
+    {
+      "entropy": 5.416608476638794,
+      "epoch": 3.525269262634631,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041053878464697343,
+      "loss": 5.1977,
+      "mean_token_accuracy": 0.18009850829839708,
+      "num_tokens": 7749319.0,
+      "step": 4255
+    },
+    {
+      "entropy": 5.519042015075684,
+      "epoch": 3.5294117647058822,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004102835787627047,
+      "loss": 5.2446,
+      "mean_token_accuracy": 0.17312991321086885,
+      "num_tokens": 7757936.0,
+      "step": 4260
+    },
+    {
+      "entropy": 5.542943048477173,
+      "epoch": 3.5335542667771334,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004100280999966741,
+      "loss": 5.3083,
+      "mean_token_accuracy": 0.17331433892250062,
+      "num_tokens": 7767349.0,
+      "step": 4265
+    },
+    {
+      "entropy": 5.4042651653289795,
+      "epoch": 3.5376967688483845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00040977234886421007,
+      "loss": 5.1133,
+      "mean_token_accuracy": 0.17731781899929047,
+      "num_tokens": 7776448.0,
+      "step": 4270
+    },
+    {
+      "entropy": 5.4222177028656,
+      "epoch": 3.5418392709196356,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040951632588119064,
+      "loss": 5.209,
+      "mean_token_accuracy": 0.17401482313871383,
+      "num_tokens": 7785768.0,
+      "step": 4275
+    },
+    {
+      "entropy": 5.600345802307129,
+      "epoch": 3.5459817729908867,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004092600315640422,
+      "loss": 5.2999,
+      "mean_token_accuracy": 0.1715576618909836,
+      "num_tokens": 7794803.0,
+      "step": 4280
+    },
+    {
+      "entropy": 5.411063814163208,
+      "epoch": 3.550124275062138,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004090034664297382,
+      "loss": 5.157,
+      "mean_token_accuracy": 0.17963247746229172,
+      "num_tokens": 7803533.0,
+      "step": 4285
+    },
+    {
+      "entropy": 5.421855831146241,
+      "epoch": 3.5542667771333885,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00040874663099579883,
+      "loss": 5.2246,
+      "mean_token_accuracy": 0.1706953912973404,
+      "num_tokens": 7812854.0,
+      "step": 4290
+    },
+    {
+      "entropy": 5.49954047203064,
+      "epoch": 3.5584092792046396,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040848952578028915,
+      "loss": 5.1628,
+      "mean_token_accuracy": 0.174958436191082,
+      "num_tokens": 7821683.0,
+      "step": 4295
+    },
+    {
+      "entropy": 5.501424264907837,
+      "epoch": 3.5625517812758907,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004082321513018183,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.18335361480712892,
+      "num_tokens": 7830967.0,
+      "step": 4300
+    },
+    {
+      "entropy": 5.48747296333313,
+      "epoch": 3.566694283347142,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00040797450807953897,
+      "loss": 5.2159,
+      "mean_token_accuracy": 0.17444179207086563,
+      "num_tokens": 7841179.0,
+      "step": 4305
+    },
+    {
+      "entropy": 5.489819192886353,
+      "epoch": 3.5708367854183924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004077165966331454,
+      "loss": 5.1587,
+      "mean_token_accuracy": 0.1852751389145851,
+      "num_tokens": 7849841.0,
+      "step": 4310
+    },
+    {
+      "entropy": 5.301797342300415,
+      "epoch": 3.5749792874896436,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004074584174828735,
+      "loss": 5.2184,
+      "mean_token_accuracy": 0.1747626096010208,
+      "num_tokens": 7859390.0,
+      "step": 4315
+    },
+    {
+      "entropy": 5.493851947784424,
+      "epoch": 3.5791217895608947,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040719997114949856,
+      "loss": 5.1913,
+      "mean_token_accuracy": 0.17565421015024185,
+      "num_tokens": 7868848.0,
+      "step": 4320
+    },
+    {
+      "entropy": 5.506833124160766,
+      "epoch": 3.5832642916321458,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040694125815433533,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.18058759868144988,
+      "num_tokens": 7877521.0,
+      "step": 4325
+    },
+    {
+      "entropy": 5.488465976715088,
+      "epoch": 3.587406793703397,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004066822790192359,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.17181889414787294,
+      "num_tokens": 7886355.0,
+      "step": 4330
+    },
+    {
+      "entropy": 5.437413024902344,
+      "epoch": 3.591549295774648,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00040642303426658967,
+      "loss": 5.2518,
+      "mean_token_accuracy": 0.17224401384592056,
+      "num_tokens": 7895028.0,
+      "step": 4335
+    },
+    {
+      "entropy": 5.379445266723633,
+      "epoch": 3.595691797845899,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040616352441932163,
+      "loss": 5.1282,
+      "mean_token_accuracy": 0.17695483118295668,
+      "num_tokens": 7904192.0,
+      "step": 4340
+    },
+    {
+      "entropy": 5.439553546905517,
+      "epoch": 3.59983429991715,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00040590375000089146,
+      "loss": 5.2066,
+      "mean_token_accuracy": 0.17032651007175445,
+      "num_tokens": 7912328.0,
+      "step": 4345
+    },
+    {
+      "entropy": 5.5121315002441404,
+      "epoch": 3.603976801988401,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00040564371153529256,
+      "loss": 5.2517,
+      "mean_token_accuracy": 0.1720314145088196,
+      "num_tokens": 7922594.0,
+      "step": 4350
+    },
+    {
+      "entropy": 5.450373315811158,
+      "epoch": 3.608119304059652,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004053834095470509,
+      "loss": 5.2201,
+      "mean_token_accuracy": 0.16222715824842454,
+      "num_tokens": 7932345.0,
+      "step": 4355
+    },
+    {
+      "entropy": 5.505369853973389,
+      "epoch": 3.612261806130903,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00040512284456122407,
+      "loss": 5.2236,
+      "mean_token_accuracy": 0.17660728394985198,
+      "num_tokens": 7942800.0,
+      "step": 4360
+    },
+    {
+      "entropy": 5.410261583328247,
+      "epoch": 3.616404308202154,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00040486201710340016,
+      "loss": 5.1287,
+      "mean_token_accuracy": 0.1859680861234665,
+      "num_tokens": 7951094.0,
+      "step": 4365
+    },
+    {
+      "entropy": 5.429905796051026,
+      "epoch": 3.6205468102734053,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040460092769969654,
+      "loss": 5.1947,
+      "mean_token_accuracy": 0.17089750617742538,
+      "num_tokens": 7960652.0,
+      "step": 4370
+    },
+    {
+      "entropy": 5.518308162689209,
+      "epoch": 3.624689312344656,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004043395768767592,
+      "loss": 5.2977,
+      "mean_token_accuracy": 0.16983983814716339,
+      "num_tokens": 7969350.0,
+      "step": 4375
+    },
+    {
+      "entropy": 5.475090789794922,
+      "epoch": 3.628831814415907,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004040779651617612,
+      "loss": 5.1831,
+      "mean_token_accuracy": 0.1762356474995613,
+      "num_tokens": 7978969.0,
+      "step": 4380
+    },
+    {
+      "entropy": 5.422111892700196,
+      "epoch": 3.632974316487158,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040381609308240207,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.1777448311448097,
+      "num_tokens": 7988531.0,
+      "step": 4385
+    },
+    {
+      "entropy": 5.423072242736817,
+      "epoch": 3.6371168185584093,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040355396116690634,
+      "loss": 5.1864,
+      "mean_token_accuracy": 0.17186058908700944,
+      "num_tokens": 7996576.0,
+      "step": 4390
+    },
+    {
+      "entropy": 5.435235500335693,
+      "epoch": 3.6412593206296604,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004032915699440227,
+      "loss": 5.2216,
+      "mean_token_accuracy": 0.17088689655065536,
+      "num_tokens": 8006279.0,
+      "step": 4395
+    },
+    {
+      "entropy": 5.496079921722412,
+      "epoch": 3.6454018227009115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000403028919943023,
+      "loss": 5.2049,
+      "mean_token_accuracy": 0.17314011603593826,
+      "num_tokens": 8015476.0,
+      "step": 4400
+    },
+    {
+      "entropy": 5.474205350875854,
+      "epoch": 3.6495443247721626,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004027660116937009,
+      "loss": 5.2326,
+      "mean_token_accuracy": 0.17077937126159667,
+      "num_tokens": 8025450.0,
+      "step": 4405
+    },
+    {
+      "entropy": 5.4402251720428465,
+      "epoch": 3.6536868268434133,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004025028457263712,
+      "loss": 5.2238,
+      "mean_token_accuracy": 0.17810273319482803,
+      "num_tokens": 8034850.0,
+      "step": 4410
+    },
+    {
+      "entropy": 5.3980237483978275,
+      "epoch": 3.6578293289146644,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004022394225718684,
+      "loss": 5.1709,
+      "mean_token_accuracy": 0.17368220686912536,
+      "num_tokens": 8044526.0,
+      "step": 4415
+    },
+    {
+      "entropy": 5.446775197982788,
+      "epoch": 3.6619718309859155,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004019757427615456,
+      "loss": 5.1341,
+      "mean_token_accuracy": 0.17317759096622468,
+      "num_tokens": 8054033.0,
+      "step": 4420
+    },
+    {
+      "entropy": 5.478370094299317,
+      "epoch": 3.6661143330571666,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0004017118068272739,
+      "loss": 5.2298,
+      "mean_token_accuracy": 0.17926038503646852,
+      "num_tokens": 8063535.0,
+      "step": 4425
+    },
+    {
+      "entropy": 5.495908880233765,
+      "epoch": 3.6702568351284177,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040144761530144096,
+      "loss": 5.2181,
+      "mean_token_accuracy": 0.18870080262422562,
+      "num_tokens": 8073079.0,
+      "step": 4430
+    },
+    {
+      "entropy": 5.367459678649903,
+      "epoch": 3.6743993371996684,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00040118316871695,
+      "loss": 5.1505,
+      "mean_token_accuracy": 0.18230827152729034,
+      "num_tokens": 8082925.0,
+      "step": 4435
+    },
+    {
+      "entropy": 5.457099437713623,
+      "epoch": 3.6785418392709195,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040091846760721857,
+      "loss": 5.2466,
+      "mean_token_accuracy": 0.17278454601764678,
+      "num_tokens": 8092038.0,
+      "step": 4440
+    },
+    {
+      "entropy": 5.460009002685547,
+      "epoch": 3.6826843413421706,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040065351250617774,
+      "loss": 5.2137,
+      "mean_token_accuracy": 0.1679331600666046,
+      "num_tokens": 8101581.0,
+      "step": 4445
+    },
+    {
+      "entropy": 5.392482471466065,
+      "epoch": 3.6868268434134217,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00040038830394827107,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.17032679468393325,
+      "num_tokens": 8111392.0,
+      "step": 4450
+    },
+    {
+      "entropy": 5.5369532108306885,
+      "epoch": 3.690969345484673,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000400122842468453,
+      "loss": 5.2742,
+      "mean_token_accuracy": 0.16916199624538422,
+      "num_tokens": 8120941.0,
+      "step": 4455
+    },
+    {
+      "entropy": 5.403111267089844,
+      "epoch": 3.695111847555924,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003998571286021884,
+      "loss": 5.1822,
+      "mean_token_accuracy": 0.1721450611948967,
+      "num_tokens": 8129983.0,
+      "step": 4460
+    },
+    {
+      "entropy": 5.482623481750489,
+      "epoch": 3.699254349627175,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003995911628854512,
+      "loss": 5.3064,
+      "mean_token_accuracy": 0.1740827202796936,
+      "num_tokens": 8139428.0,
+      "step": 4465
+    },
+    {
+      "entropy": 5.509563970565796,
+      "epoch": 3.7033968516984257,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003993249458547234,
+      "loss": 5.2302,
+      "mean_token_accuracy": 0.16980735808610917,
+      "num_tokens": 8148520.0,
+      "step": 4470
+    },
+    {
+      "entropy": 5.3746521949768065,
+      "epoch": 3.707539353769677,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039905847804699363,
+      "loss": 5.0676,
+      "mean_token_accuracy": 0.18766331672668457,
+      "num_tokens": 8156908.0,
+      "step": 4475
+    },
+    {
+      "entropy": 5.446433591842651,
+      "epoch": 3.711681855840928,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00039879175999975677,
+      "loss": 5.2156,
+      "mean_token_accuracy": 0.18001207262277602,
+      "num_tokens": 8165677.0,
+      "step": 4480
+    },
+    {
+      "entropy": 5.386814975738526,
+      "epoch": 3.715824357912179,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00039852479225101217,
+      "loss": 5.1883,
+      "mean_token_accuracy": 0.17356531620025634,
+      "num_tokens": 8174786.0,
+      "step": 4485
+    },
+    {
+      "entropy": 5.454575872421264,
+      "epoch": 3.71996685998343,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00039825757533926305,
+      "loss": 5.2484,
+      "mean_token_accuracy": 0.16340016275644303,
+      "num_tokens": 8184150.0,
+      "step": 4490
+    },
+    {
+      "entropy": 5.4400050163269045,
+      "epoch": 3.724109362054681,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039799010980351494,
+      "loss": 5.1455,
+      "mean_token_accuracy": 0.1879016414284706,
+      "num_tokens": 8192257.0,
+      "step": 4495
+    },
+    {
+      "entropy": 5.452324247360229,
+      "epoch": 3.728251864125932,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00039772239618327535,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.1748780906200409,
+      "num_tokens": 8201041.0,
+      "step": 4500
+    },
+    {
+      "epoch": 3.728251864125932,
+      "eval_entropy": 5.297962182620441,
+      "eval_loss": 5.854063987731934,
+      "eval_mean_token_accuracy": 0.15576711011085428,
+      "eval_num_tokens": 8201041.0,
+      "eval_runtime": 2.7449,
+      "eval_samples_per_second": 1365.057,
+      "eval_steps_per_second": 170.86,
+      "step": 4500
+    },
+    {
+      "entropy": 5.430630874633789,
+      "epoch": 3.732394366197183,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00039745443501855156,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18020173758268357,
+      "num_tokens": 8209881.0,
+      "step": 4505
+    },
+    {
+      "entropy": 5.426507759094238,
+      "epoch": 3.736536868268434,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039718622684985075,
+      "loss": 5.2198,
+      "mean_token_accuracy": 0.1857784554362297,
+      "num_tokens": 8218504.0,
+      "step": 4510
+    },
+    {
+      "entropy": 5.427436780929566,
+      "epoch": 3.7406793703396852,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000396917772218178,
+      "loss": 5.0397,
+      "mean_token_accuracy": 0.19483556151390075,
+      "num_tokens": 8226785.0,
+      "step": 4515
+    },
+    {
+      "entropy": 5.463036251068115,
+      "epoch": 3.7448218724109363,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0003966490716650357,
+      "loss": 5.1879,
+      "mean_token_accuracy": 0.1808652698993683,
+      "num_tokens": 8236092.0,
+      "step": 4520
+    },
+    {
+      "entropy": 5.398115777969361,
+      "epoch": 3.7489643744821874,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039638012573242225,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18426763266324997,
+      "num_tokens": 8245297.0,
+      "step": 4525
+    },
+    {
+      "entropy": 5.498414611816406,
+      "epoch": 3.7531068765534386,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003961109349628309,
+      "loss": 5.2544,
+      "mean_token_accuracy": 0.16994525790214537,
+      "num_tokens": 8254772.0,
+      "step": 4530
+    },
+    {
+      "entropy": 5.488787031173706,
+      "epoch": 3.757249378624689,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000395841499899249,
+      "loss": 5.3168,
+      "mean_token_accuracy": 0.1684611275792122,
+      "num_tokens": 8264310.0,
+      "step": 4535
+    },
+    {
+      "entropy": 5.4844201564788815,
+      "epoch": 3.7613918806959403,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00039557182108515624,
+      "loss": 5.2197,
+      "mean_token_accuracy": 0.1802253693342209,
+      "num_tokens": 8274184.0,
+      "step": 4540
+    },
+    {
+      "entropy": 5.40406289100647,
+      "epoch": 3.7655343827671914,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039530189906452457,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.18066346347332002,
+      "num_tokens": 8283151.0,
+      "step": 4545
+    },
+    {
+      "entropy": 5.490919494628907,
+      "epoch": 3.7696768848384425,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00039503173438181605,
+      "loss": 5.2375,
+      "mean_token_accuracy": 0.16958207488059998,
+      "num_tokens": 8292574.0,
+      "step": 4550
+    },
+    {
+      "entropy": 5.37688570022583,
+      "epoch": 3.773819386909693,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039476132758198236,
+      "loss": 5.1589,
+      "mean_token_accuracy": 0.17906700521707536,
+      "num_tokens": 8301281.0,
+      "step": 4555
+    },
+    {
+      "entropy": 5.404768991470337,
+      "epoch": 3.7779618889809443,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039449067921046353,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.184201979637146,
+      "num_tokens": 8310201.0,
+      "step": 4560
+    },
+    {
+      "entropy": 5.5153802871704105,
+      "epoch": 3.7821043910521954,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00039421978981318703,
+      "loss": 5.243,
+      "mean_token_accuracy": 0.17428653091192245,
+      "num_tokens": 8320369.0,
+      "step": 4565
+    },
+    {
+      "entropy": 5.490174674987793,
+      "epoch": 3.7862468931234465,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00039394865993656625,
+      "loss": 5.2332,
+      "mean_token_accuracy": 0.17829314470291138,
+      "num_tokens": 8329519.0,
+      "step": 4570
+    },
+    {
+      "entropy": 5.4183516025543215,
+      "epoch": 3.7903893951946976,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003936772901274999,
+      "loss": 5.2233,
+      "mean_token_accuracy": 0.16786337196826934,
+      "num_tokens": 8338282.0,
+      "step": 4575
+    },
+    {
+      "entropy": 5.422275066375732,
+      "epoch": 3.7945318972659487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003934056809333705,
+      "loss": 5.2367,
+      "mean_token_accuracy": 0.1760738953948021,
+      "num_tokens": 8346861.0,
+      "step": 4580
+    },
+    {
+      "entropy": 5.493864250183106,
+      "epoch": 3.7986743993372,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039313383290204333,
+      "loss": 5.2689,
+      "mean_token_accuracy": 0.16675272732973098,
+      "num_tokens": 8356078.0,
+      "step": 4585
+    },
+    {
+      "entropy": 5.449766826629639,
+      "epoch": 3.802816901408451,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003928617465818658,
+      "loss": 5.2279,
+      "mean_token_accuracy": 0.16728012412786483,
+      "num_tokens": 8365487.0,
+      "step": 4590
+    },
+    {
+      "entropy": 5.477828598022461,
+      "epoch": 3.8069594034797016,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00039258942252166554,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.17344195693731307,
+      "num_tokens": 8374622.0,
+      "step": 4595
+    },
+    {
+      "entropy": 5.467281007766724,
+      "epoch": 3.8111019055509527,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003923168612707502,
+      "loss": 5.1437,
+      "mean_token_accuracy": 0.1838704138994217,
+      "num_tokens": 8383312.0,
+      "step": 4600
+    },
+    {
+      "entropy": 5.375951862335205,
+      "epoch": 3.815244407622204,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003920440633789053,
+      "loss": 5.1668,
+      "mean_token_accuracy": 0.17426021844148637,
+      "num_tokens": 8391987.0,
+      "step": 4605
+    },
+    {
+      "entropy": 5.411648225784302,
+      "epoch": 3.819386909693455,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039177102939639424,
+      "loss": 5.1782,
+      "mean_token_accuracy": 0.17309755831956863,
+      "num_tokens": 8401263.0,
+      "step": 4610
+    },
+    {
+      "entropy": 5.520602798461914,
+      "epoch": 3.8235294117647056,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003914977598739563,
+      "loss": 5.1998,
+      "mean_token_accuracy": 0.18663258850574493,
+      "num_tokens": 8410110.0,
+      "step": 4615
+    },
+    {
+      "entropy": 5.505752420425415,
+      "epoch": 3.8276719138359567,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003912242553628059,
+      "loss": 5.2827,
+      "mean_token_accuracy": 0.16937017440795898,
+      "num_tokens": 8419321.0,
+      "step": 4620
+    },
+    {
+      "entropy": 5.470319938659668,
+      "epoch": 3.831814415907208,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003909505164146318,
+      "loss": 5.2512,
+      "mean_token_accuracy": 0.17635022550821305,
+      "num_tokens": 8428376.0,
+      "step": 4625
+    },
+    {
+      "entropy": 5.446829080581665,
+      "epoch": 3.835956917978459,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000390676543581595,
+      "loss": 5.1826,
+      "mean_token_accuracy": 0.1743323564529419,
+      "num_tokens": 8437263.0,
+      "step": 4630
+    },
+    {
+      "entropy": 5.361465311050415,
+      "epoch": 3.84009942004971,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003904023374163289,
+      "loss": 5.1943,
+      "mean_token_accuracy": 0.17949013262987137,
+      "num_tokens": 8445889.0,
+      "step": 4635
+    },
+    {
+      "entropy": 5.503735971450806,
+      "epoch": 3.844241922120961,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003901278984719372,
+      "loss": 5.3739,
+      "mean_token_accuracy": 0.16415481567382811,
+      "num_tokens": 8456086.0,
+      "step": 4640
+    },
+    {
+      "entropy": 5.492273569107056,
+      "epoch": 3.8483844241922123,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00038985322730199326,
+      "loss": 5.2018,
+      "mean_token_accuracy": 0.1795567825436592,
+      "num_tokens": 8465150.0,
+      "step": 4645
+    },
+    {
+      "entropy": 5.431647396087646,
+      "epoch": 3.8525269262634634,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003895783244605389,
+      "loss": 5.2783,
+      "mean_token_accuracy": 0.1720671087503433,
+      "num_tokens": 8474172.0,
+      "step": 4650
+    },
+    {
+      "entropy": 5.404905462265015,
+      "epoch": 3.856669428334714,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00038930319050208315,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.18708953112363816,
+      "num_tokens": 8483636.0,
+      "step": 4655
+    },
+    {
+      "entropy": 5.408392810821534,
+      "epoch": 3.860811930405965,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00038902782598160127,
+      "loss": 5.1091,
+      "mean_token_accuracy": 0.1881578117609024,
+      "num_tokens": 8491560.0,
+      "step": 4660
+    },
+    {
+      "entropy": 5.484521150588989,
+      "epoch": 3.8649544324772163,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00038875223145453346,
+      "loss": 5.4046,
+      "mean_token_accuracy": 0.17662398070096968,
+      "num_tokens": 8501685.0,
+      "step": 4665
+    },
+    {
+      "entropy": 5.551066589355469,
+      "epoch": 3.8690969345484674,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003884764074767842,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.17176942974328996,
+      "num_tokens": 8510580.0,
+      "step": 4670
+    },
+    {
+      "entropy": 5.477302551269531,
+      "epoch": 3.873239436619718,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003882003546047205,
+      "loss": 5.2013,
+      "mean_token_accuracy": 0.17522621154785156,
+      "num_tokens": 8519595.0,
+      "step": 4675
+    },
+    {
+      "entropy": 5.506098508834839,
+      "epoch": 3.877381938690969,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00038792407339517123,
+      "loss": 5.2786,
+      "mean_token_accuracy": 0.17400375306606292,
+      "num_tokens": 8529118.0,
+      "step": 4680
+    },
+    {
+      "entropy": 5.507658243179321,
+      "epoch": 3.8815244407622203,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00038764756440542574,
+      "loss": 5.2477,
+      "mean_token_accuracy": 0.17185091674327851,
+      "num_tokens": 8539322.0,
+      "step": 4685
+    },
+    {
+      "entropy": 5.454025650024414,
+      "epoch": 3.8856669428334714,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038737082819323285,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.17740404605865479,
+      "num_tokens": 8548707.0,
+      "step": 4690
+    },
+    {
+      "entropy": 5.427890157699585,
+      "epoch": 3.8898094449047225,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00038709386531679974,
+      "loss": 5.2576,
+      "mean_token_accuracy": 0.1718251511454582,
+      "num_tokens": 8557500.0,
+      "step": 4695
+    },
+    {
+      "entropy": 5.436252593994141,
+      "epoch": 3.8939519469759736,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00038681667633479086,
+      "loss": 5.2621,
+      "mean_token_accuracy": 0.1682343602180481,
+      "num_tokens": 8567465.0,
+      "step": 4700
+    },
+    {
+      "entropy": 5.381856250762939,
+      "epoch": 3.8980944490472247,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038653926180632665,
+      "loss": 5.1165,
+      "mean_token_accuracy": 0.18321423530578612,
+      "num_tokens": 8576680.0,
+      "step": 4705
+    },
+    {
+      "entropy": 5.495894527435302,
+      "epoch": 3.902236951118476,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00038626162229098257,
+      "loss": 5.2631,
+      "mean_token_accuracy": 0.16617788672447203,
+      "num_tokens": 8585539.0,
+      "step": 4710
+    },
+    {
+      "entropy": 5.400326347351074,
+      "epoch": 3.9063794531897265,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003859837583487877,
+      "loss": 5.1007,
+      "mean_token_accuracy": 0.18613590002059938,
+      "num_tokens": 8593598.0,
+      "step": 4715
+    },
+    {
+      "entropy": 5.4148589134216305,
+      "epoch": 3.9105219552609776,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003857056705402241,
+      "loss": 5.236,
+      "mean_token_accuracy": 0.1721765860915184,
+      "num_tokens": 8603440.0,
+      "step": 4720
+    },
+    {
+      "entropy": 5.384281969070434,
+      "epoch": 3.9146644573322287,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003854273594262253,
+      "loss": 5.0591,
+      "mean_token_accuracy": 0.1858549162745476,
+      "num_tokens": 8612490.0,
+      "step": 4725
+    },
+    {
+      "entropy": 5.387153816223145,
+      "epoch": 3.91880695940348,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003851488255681752,
+      "loss": 5.1508,
+      "mean_token_accuracy": 0.17980385273694993,
+      "num_tokens": 8621994.0,
+      "step": 4730
+    },
+    {
+      "entropy": 5.462166833877563,
+      "epoch": 3.922949461474731,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000384870069527907,
+      "loss": 5.2269,
+      "mean_token_accuracy": 0.16994049549102783,
+      "num_tokens": 8631185.0,
+      "step": 4735
+    },
+    {
+      "entropy": 5.445327711105347,
+      "epoch": 3.9270919635459816,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00038459109186770213,
+      "loss": 5.1201,
+      "mean_token_accuracy": 0.18937034606933595,
+      "num_tokens": 8639018.0,
+      "step": 4740
+    },
+    {
+      "entropy": 5.365725660324097,
+      "epoch": 3.9312344656172327,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00038431189315028905,
+      "loss": 5.1293,
+      "mean_token_accuracy": 0.1805494785308838,
+      "num_tokens": 8647672.0,
+      "step": 4745
+    },
+    {
+      "entropy": 5.42286114692688,
+      "epoch": 3.9353769676884838,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003840324739388419,
+      "loss": 5.2659,
+      "mean_token_accuracy": 0.16662627309560776,
+      "num_tokens": 8656638.0,
+      "step": 4750
+    },
+    {
+      "entropy": 5.4803203582763675,
+      "epoch": 3.939519469759735,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00038375283479698,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.18231208473443986,
+      "num_tokens": 8666167.0,
+      "step": 4755
+    },
+    {
+      "entropy": 5.505121231079102,
+      "epoch": 3.943661971830986,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003834729762887659,
+      "loss": 5.3067,
+      "mean_token_accuracy": 0.16447765678167342,
+      "num_tokens": 8676435.0,
+      "step": 4760
+    },
+    {
+      "entropy": 5.413615751266479,
+      "epoch": 3.947804473902237,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003831928989787049,
+      "loss": 5.1808,
+      "mean_token_accuracy": 0.18012969940900803,
+      "num_tokens": 8686011.0,
+      "step": 4765
+    },
+    {
+      "entropy": 5.463970613479614,
+      "epoch": 3.951946975973488,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003829126034317435,
+      "loss": 5.1959,
+      "mean_token_accuracy": 0.17213619947433473,
+      "num_tokens": 8695063.0,
+      "step": 4770
+    },
+    {
+      "entropy": 5.517300796508789,
+      "epoch": 3.956089478044739,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003826320902132684,
+      "loss": 5.299,
+      "mean_token_accuracy": 0.16880902647972107,
+      "num_tokens": 8704585.0,
+      "step": 4775
+    },
+    {
+      "entropy": 5.469470262527466,
+      "epoch": 3.96023198011599,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038235135988910545,
+      "loss": 5.2111,
+      "mean_token_accuracy": 0.17501715570688248,
+      "num_tokens": 8714097.0,
+      "step": 4780
+    },
+    {
+      "entropy": 5.433980226516724,
+      "epoch": 3.964374482187241,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00038207041302551844,
+      "loss": 5.1327,
+      "mean_token_accuracy": 0.1802523225545883,
+      "num_tokens": 8722890.0,
+      "step": 4785
+    },
+    {
+      "entropy": 5.36038613319397,
+      "epoch": 3.968516984258492,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003817892501892078,
+      "loss": 5.1474,
+      "mean_token_accuracy": 0.18226009160280227,
+      "num_tokens": 8732046.0,
+      "step": 4790
+    },
+    {
+      "entropy": 5.385818529129028,
+      "epoch": 3.9726594863297433,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038150787194730977,
+      "loss": 5.1867,
+      "mean_token_accuracy": 0.18098812699317932,
+      "num_tokens": 8741750.0,
+      "step": 4795
+    },
+    {
+      "entropy": 5.49769434928894,
+      "epoch": 3.976801988400994,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000381226278867395,
+      "loss": 5.1585,
+      "mean_token_accuracy": 0.17722393125295638,
+      "num_tokens": 8750141.0,
+      "step": 4800
+    },
+    {
+      "entropy": 5.3994584560394285,
+      "epoch": 3.980944490472245,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00038094447151746746,
+      "loss": 5.0956,
+      "mean_token_accuracy": 0.18723244071006775,
+      "num_tokens": 8758567.0,
+      "step": 4805
+    },
+    {
+      "entropy": 5.376461982727051,
+      "epoch": 3.985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003806624504659635,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1782562255859375,
+      "num_tokens": 8767829.0,
+      "step": 4810
+    },
+    {
+      "entropy": 5.416551733016968,
+      "epoch": 3.9892294946147473,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003803802162817503,
+      "loss": 5.0891,
+      "mean_token_accuracy": 0.18413031548261644,
+      "num_tokens": 8776911.0,
+      "step": 4815
+    },
+    {
+      "entropy": 5.403548002243042,
+      "epoch": 3.9933719966859984,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000380097769534125,
+      "loss": 5.2011,
+      "mean_token_accuracy": 0.18309975266456605,
+      "num_tokens": 8786117.0,
+      "step": 4820
+    },
+    {
+      "entropy": 5.401311016082763,
+      "epoch": 3.9975144987572495,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003798151107928136,
+      "loss": 5.1436,
+      "mean_token_accuracy": 0.18381998240947722,
+      "num_tokens": 8795647.0,
+      "step": 4825
+    },
+    {
+      "entropy": 5.363515567779541,
+      "epoch": 4.001657000828501,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00037953224062796967,
+      "loss": 5.1114,
+      "mean_token_accuracy": 0.18405449539422988,
+      "num_tokens": 8803480.0,
+      "step": 4830
+    },
+    {
+      "entropy": 5.504069137573242,
+      "epoch": 4.005799502899752,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003792491596101733,
+      "loss": 4.9454,
+      "mean_token_accuracy": 0.19255731254816055,
+      "num_tokens": 8812825.0,
+      "step": 4835
+    },
+    {
+      "entropy": 5.45196304321289,
+      "epoch": 4.009942004971003,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003789658683104298,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19097152799367906,
+      "num_tokens": 8821911.0,
+      "step": 4840
+    },
+    {
+      "entropy": 5.429521989822388,
+      "epoch": 4.014084507042254,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037868236730016866,
+      "loss": 4.9518,
+      "mean_token_accuracy": 0.18948255032300948,
+      "num_tokens": 8830691.0,
+      "step": 4845
+    },
+    {
+      "entropy": 5.400455188751221,
+      "epoch": 4.018227009113504,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037839865715124234,
+      "loss": 4.9281,
+      "mean_token_accuracy": 0.19010053426027299,
+      "num_tokens": 8840410.0,
+      "step": 4850
+    },
+    {
+      "entropy": 5.374143838882446,
+      "epoch": 4.022369511184755,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00037811473843592534,
+      "loss": 4.9042,
+      "mean_token_accuracy": 0.19410175532102586,
+      "num_tokens": 8849662.0,
+      "step": 4855
+    },
+    {
+      "entropy": 5.4465690612792965,
+      "epoch": 4.026512013256006,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00037783061172691273,
+      "loss": 4.8985,
+      "mean_token_accuracy": 0.19412659406661986,
+      "num_tokens": 8858666.0,
+      "step": 4860
+    },
+    {
+      "entropy": 5.497456216812134,
+      "epoch": 4.0306545153272575,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003775462775973191,
+      "loss": 4.9611,
+      "mean_token_accuracy": 0.1847592905163765,
+      "num_tokens": 8867885.0,
+      "step": 4865
+    },
+    {
+      "entropy": 5.351856470108032,
+      "epoch": 4.034797017398509,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003772617366206773,
+      "loss": 4.9175,
+      "mean_token_accuracy": 0.19424951672554017,
+      "num_tokens": 8877458.0,
+      "step": 4870
+    },
+    {
+      "entropy": 5.363556432723999,
+      "epoch": 4.03893951946976,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037697698937093783,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.18704084753990174,
+      "num_tokens": 8886995.0,
+      "step": 4875
+    },
+    {
+      "entropy": 5.463095617294312,
+      "epoch": 4.043082021541011,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00037669203642246685,
+      "loss": 5.026,
+      "mean_token_accuracy": 0.18413490056991577,
+      "num_tokens": 8895224.0,
+      "step": 4880
+    },
+    {
+      "entropy": 5.4529016494750975,
+      "epoch": 4.047224523612262,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00037640687835004567,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.1925043895840645,
+      "num_tokens": 8905216.0,
+      "step": 4885
+    },
+    {
+      "entropy": 5.426698875427246,
+      "epoch": 4.051367025683513,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003761215157288692,
+      "loss": 4.9558,
+      "mean_token_accuracy": 0.19299548715353013,
+      "num_tokens": 8915493.0,
+      "step": 4890
+    },
+    {
+      "entropy": 5.362393617630005,
+      "epoch": 4.055509527754764,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00037583594913454514,
+      "loss": 4.925,
+      "mean_token_accuracy": 0.1959809884428978,
+      "num_tokens": 8924740.0,
+      "step": 4895
+    },
+    {
+      "entropy": 5.42564959526062,
+      "epoch": 4.059652029826015,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003755501791430925,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.18527257889509202,
+      "num_tokens": 8934726.0,
+      "step": 4900
+    },
+    {
+      "entropy": 5.448423719406128,
+      "epoch": 4.063794531897266,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00037526420633094044,
+      "loss": 4.9581,
+      "mean_token_accuracy": 0.18748125433921814,
+      "num_tokens": 8944301.0,
+      "step": 4905
+    },
+    {
+      "entropy": 5.449982643127441,
+      "epoch": 4.067937033968517,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037497803127492757,
+      "loss": 4.9881,
+      "mean_token_accuracy": 0.19187170565128325,
+      "num_tokens": 8953967.0,
+      "step": 4910
+    },
+    {
+      "entropy": 5.326543855667114,
+      "epoch": 4.072079536039768,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003746916545523001,
+      "loss": 4.8948,
+      "mean_token_accuracy": 0.19177066087722777,
+      "num_tokens": 8962983.0,
+      "step": 4915
+    },
+    {
+      "entropy": 5.381871175765991,
+      "epoch": 4.076222038111019,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003744050767407113,
+      "loss": 5.0191,
+      "mean_token_accuracy": 0.18154184073209761,
+      "num_tokens": 8972019.0,
+      "step": 4920
+    },
+    {
+      "entropy": 5.40556058883667,
+      "epoch": 4.08036454018227,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0003741182984182198,
+      "loss": 4.901,
+      "mean_token_accuracy": 0.20234887301921844,
+      "num_tokens": 8981751.0,
+      "step": 4925
+    },
+    {
+      "entropy": 5.3616517066955565,
+      "epoch": 4.084507042253521,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003738313201632889,
+      "loss": 4.8923,
+      "mean_token_accuracy": 0.19780989587306977,
+      "num_tokens": 8990330.0,
+      "step": 4930
+    },
+    {
+      "entropy": 5.314311408996582,
+      "epoch": 4.088649544324772,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003735441425547851,
+      "loss": 4.905,
+      "mean_token_accuracy": 0.19072338491678237,
+      "num_tokens": 8998366.0,
+      "step": 4935
+    },
+    {
+      "entropy": 5.290538501739502,
+      "epoch": 4.092792046396023,
+      "grad_norm": 1.828125,
+      "learning_rate": 0.00037325676617197697,
+      "loss": 4.8317,
+      "mean_token_accuracy": 0.20186650305986403,
+      "num_tokens": 9006881.0,
+      "step": 4940
+    },
+    {
+      "entropy": 5.323595571517944,
+      "epoch": 4.096934548467274,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0003729691915945342,
+      "loss": 4.8944,
+      "mean_token_accuracy": 0.19853760153055192,
+      "num_tokens": 9015415.0,
+      "step": 4945
+    },
+    {
+      "entropy": 5.40374059677124,
+      "epoch": 4.1010770505385254,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000372681419402526,
+      "loss": 4.9483,
+      "mean_token_accuracy": 0.19546929001808167,
+      "num_tokens": 9024578.0,
+      "step": 4950
+    },
+    {
+      "entropy": 5.381409311294556,
+      "epoch": 4.105219552609777,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003723934501764203,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.1867024227976799,
+      "num_tokens": 9032637.0,
+      "step": 4955
+    },
+    {
+      "entropy": 5.395318984985352,
+      "epoch": 4.109362054681028,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0003721052844970826,
+      "loss": 4.8913,
+      "mean_token_accuracy": 0.18718749284744263,
+      "num_tokens": 9041513.0,
+      "step": 4960
+    },
+    {
+      "entropy": 5.394489192962647,
+      "epoch": 4.113504556752279,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00037181692294577457,
+      "loss": 4.9155,
+      "mean_token_accuracy": 0.1854037255048752,
+      "num_tokens": 9051024.0,
+      "step": 4965
+    },
+    {
+      "entropy": 5.33848295211792,
+      "epoch": 4.117647058823529,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037152836610415284,
+      "loss": 4.8895,
+      "mean_token_accuracy": 0.19274405539035797,
+      "num_tokens": 9059494.0,
+      "step": 4970
+    },
+    {
+      "entropy": 5.31979193687439,
+      "epoch": 4.12178956089478,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00037123961455426836,
+      "loss": 4.7988,
+      "mean_token_accuracy": 0.19865831583738328,
+      "num_tokens": 9068166.0,
+      "step": 4975
+    },
+    {
+      "entropy": 5.391095542907715,
+      "epoch": 4.125932062966031,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00037095066887856434,
+      "loss": 4.907,
+      "mean_token_accuracy": 0.19333944320678711,
+      "num_tokens": 9077283.0,
+      "step": 4980
+    },
+    {
+      "entropy": 5.3755443572998045,
+      "epoch": 4.130074565037282,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003706615296598758,
+      "loss": 4.9332,
+      "mean_token_accuracy": 0.19493403136730195,
+      "num_tokens": 9086605.0,
+      "step": 4985
+    },
+    {
+      "entropy": 5.301020622253418,
+      "epoch": 4.134217067108533,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003703721974814282,
+      "loss": 4.9169,
+      "mean_token_accuracy": 0.19399153292179108,
+      "num_tokens": 9095567.0,
+      "step": 4990
+    },
+    {
+      "entropy": 5.282594537734985,
+      "epoch": 4.1383595691797845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00037008267292683615,
+      "loss": 4.9012,
+      "mean_token_accuracy": 0.19265301078557967,
+      "num_tokens": 9104457.0,
+      "step": 4995
+    },
+    {
+      "entropy": 5.398877716064453,
+      "epoch": 4.142502071251036,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036979295658010227,
+      "loss": 4.9533,
+      "mean_token_accuracy": 0.20162091553211212,
+      "num_tokens": 9113945.0,
+      "step": 5000
+    },
+    {
+      "epoch": 4.142502071251036,
+      "eval_entropy": 5.273210916946184,
+      "eval_loss": 5.83656120300293,
+      "eval_mean_token_accuracy": 0.15772452866281272,
+      "eval_num_tokens": 9113945.0,
+      "eval_runtime": 2.9415,
+      "eval_samples_per_second": 1273.844,
+      "eval_steps_per_second": 159.443,
+      "step": 5000
+    },
+    {
+      "entropy": 5.424594402313232,
+      "epoch": 4.146644573322287,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003695030490256161,
+      "loss": 5.0303,
+      "mean_token_accuracy": 0.18944208920001984,
+      "num_tokens": 9122996.0,
+      "step": 5005
+    },
+    {
+      "entropy": 5.355675983428955,
+      "epoch": 4.150787075393538,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000369212950848153,
+      "loss": 4.8793,
+      "mean_token_accuracy": 0.1962927296757698,
+      "num_tokens": 9132079.0,
+      "step": 5010
+    },
+    {
+      "entropy": 5.384340238571167,
+      "epoch": 4.154929577464789,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003689226626328725,
+      "loss": 5.0058,
+      "mean_token_accuracy": 0.19004727751016617,
+      "num_tokens": 9141335.0,
+      "step": 5015
+    },
+    {
+      "entropy": 5.442283582687378,
+      "epoch": 4.15907207953604,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00036863218496531767,
+      "loss": 5.0264,
+      "mean_token_accuracy": 0.18990386426448821,
+      "num_tokens": 9150049.0,
+      "step": 5020
+    },
+    {
+      "entropy": 5.409811115264892,
+      "epoch": 4.163214581607291,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003683415184314139,
+      "loss": 4.9057,
+      "mean_token_accuracy": 0.19072521328926087,
+      "num_tokens": 9159245.0,
+      "step": 5025
+    },
+    {
+      "entropy": 5.281745195388794,
+      "epoch": 4.167357083678542,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00036805066361746716,
+      "loss": 4.9432,
+      "mean_token_accuracy": 0.19057238101959229,
+      "num_tokens": 9167892.0,
+      "step": 5030
+    },
+    {
+      "entropy": 5.262811374664307,
+      "epoch": 4.1714995857497925,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036775962111016346,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.19675376862287522,
+      "num_tokens": 9176067.0,
+      "step": 5035
+    },
+    {
+      "entropy": 5.335107898712158,
+      "epoch": 4.175642087821044,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036746839149656734,
+      "loss": 4.9032,
+      "mean_token_accuracy": 0.19636716991662978,
+      "num_tokens": 9185318.0,
+      "step": 5040
+    },
+    {
+      "entropy": 5.338614749908447,
+      "epoch": 4.179784589892295,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003671769753641207,
+      "loss": 4.9605,
+      "mean_token_accuracy": 0.19530149400234223,
+      "num_tokens": 9194885.0,
+      "step": 5045
+    },
+    {
+      "entropy": 5.349650192260742,
+      "epoch": 4.183927091963546,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00036688537330064187,
+      "loss": 4.987,
+      "mean_token_accuracy": 0.19436514377593994,
+      "num_tokens": 9203906.0,
+      "step": 5050
+    },
+    {
+      "entropy": 5.318757629394531,
+      "epoch": 4.188069594034797,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000366593585894324,
+      "loss": 4.8507,
+      "mean_token_accuracy": 0.2013680413365364,
+      "num_tokens": 9213351.0,
+      "step": 5055
+    },
+    {
+      "entropy": 5.347932624816894,
+      "epoch": 4.192212096106048,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003663016137337341,
+      "loss": 4.9278,
+      "mean_token_accuracy": 0.18784158080816268,
+      "num_tokens": 9222191.0,
+      "step": 5060
+    },
+    {
+      "entropy": 5.372864198684693,
+      "epoch": 4.196354598177299,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00036600945740781197,
+      "loss": 4.9668,
+      "mean_token_accuracy": 0.1919815331697464,
+      "num_tokens": 9231517.0,
+      "step": 5065
+    },
+    {
+      "entropy": 5.393643712997436,
+      "epoch": 4.20049710024855,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036571711750586896,
+      "loss": 4.9891,
+      "mean_token_accuracy": 0.19960682690143586,
+      "num_tokens": 9241208.0,
+      "step": 5070
+    },
+    {
+      "entropy": 5.391959381103516,
+      "epoch": 4.204639602319801,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003654245946175864,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19324131309986115,
+      "num_tokens": 9250237.0,
+      "step": 5075
+    },
+    {
+      "entropy": 5.37893590927124,
+      "epoch": 4.2087821043910525,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00036513188933301504,
+      "loss": 5.0399,
+      "mean_token_accuracy": 0.18783097416162492,
+      "num_tokens": 9260273.0,
+      "step": 5080
+    },
+    {
+      "entropy": 5.378773164749146,
+      "epoch": 4.212924606462304,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003648390022425734,
+      "loss": 4.8996,
+      "mean_token_accuracy": 0.19140231609344482,
+      "num_tokens": 9268878.0,
+      "step": 5085
+    },
+    {
+      "entropy": 5.325588417053223,
+      "epoch": 4.217067108533554,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003645459339370468,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19706592857837676,
+      "num_tokens": 9276324.0,
+      "step": 5090
+    },
+    {
+      "entropy": 5.312953901290894,
+      "epoch": 4.221209610604805,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036425268500758594,
+      "loss": 4.9725,
+      "mean_token_accuracy": 0.1936806783080101,
+      "num_tokens": 9285052.0,
+      "step": 5095
+    },
+    {
+      "entropy": 5.354986000061035,
+      "epoch": 4.225352112676056,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036395925604570614,
+      "loss": 4.8763,
+      "mean_token_accuracy": 0.20042537599802018,
+      "num_tokens": 9293324.0,
+      "step": 5100
+    },
+    {
+      "entropy": 5.3900477409362795,
+      "epoch": 4.229494614747307,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003636656476432854,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19263672083616257,
+      "num_tokens": 9302131.0,
+      "step": 5105
+    },
+    {
+      "entropy": 5.263408470153808,
+      "epoch": 4.233637116818558,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003633718603925642,
+      "loss": 4.862,
+      "mean_token_accuracy": 0.19388986378908157,
+      "num_tokens": 9311128.0,
+      "step": 5110
+    },
+    {
+      "entropy": 5.420498418807983,
+      "epoch": 4.237779618889809,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0003630778948861434,
+      "loss": 4.9352,
+      "mean_token_accuracy": 0.1895424723625183,
+      "num_tokens": 9319849.0,
+      "step": 5115
+    },
+    {
+      "entropy": 5.336805248260498,
+      "epoch": 4.2419221209610605,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003627837517169836,
+      "loss": 4.9458,
+      "mean_token_accuracy": 0.18560263216495515,
+      "num_tokens": 9328355.0,
+      "step": 5120
+    },
+    {
+      "entropy": 5.352609777450562,
+      "epoch": 4.246064623032312,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003624894314784037,
+      "loss": 4.9236,
+      "mean_token_accuracy": 0.18928787410259246,
+      "num_tokens": 9337562.0,
+      "step": 5125
+    },
+    {
+      "entropy": 5.323793935775757,
+      "epoch": 4.250207125103563,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003621949347640797,
+      "loss": 4.9315,
+      "mean_token_accuracy": 0.196185165643692,
+      "num_tokens": 9347851.0,
+      "step": 5130
+    },
+    {
+      "entropy": 5.398552274703979,
+      "epoch": 4.254349627174814,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003619002621680439,
+      "loss": 4.9325,
+      "mean_token_accuracy": 0.19673411697149276,
+      "num_tokens": 9356524.0,
+      "step": 5135
+    },
+    {
+      "entropy": 5.4241108894348145,
+      "epoch": 4.258492129246065,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003616054142846829,
+      "loss": 5.0307,
+      "mean_token_accuracy": 0.1882170706987381,
+      "num_tokens": 9365521.0,
+      "step": 5140
+    },
+    {
+      "entropy": 5.301144218444824,
+      "epoch": 4.262634631317316,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003613103917087371,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19470559656620026,
+      "num_tokens": 9374088.0,
+      "step": 5145
+    },
+    {
+      "entropy": 5.345515966415405,
+      "epoch": 4.266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003610151950352994,
+      "loss": 4.9794,
+      "mean_token_accuracy": 0.19499585926532745,
+      "num_tokens": 9382683.0,
+      "step": 5150
+    },
+    {
+      "entropy": 5.306409788131714,
+      "epoch": 4.270919635459817,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0003607198248598137,
+      "loss": 4.9063,
+      "mean_token_accuracy": 0.194849793612957,
+      "num_tokens": 9391790.0,
+      "step": 5155
+    },
+    {
+      "entropy": 5.414876556396484,
+      "epoch": 4.2750621375310685,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003604242817780739,
+      "loss": 4.9901,
+      "mean_token_accuracy": 0.19321189671754838,
+      "num_tokens": 9400234.0,
+      "step": 5160
+    },
+    {
+      "entropy": 5.350374364852906,
+      "epoch": 4.27920463960232,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036012856638622273,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19192621409893035,
+      "num_tokens": 9409513.0,
+      "step": 5165
+    },
+    {
+      "entropy": 5.292260932922363,
+      "epoch": 4.283347141673571,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003598326792807504,
+      "loss": 4.9821,
+      "mean_token_accuracy": 0.18258902430534363,
+      "num_tokens": 9418608.0,
+      "step": 5170
+    },
+    {
+      "entropy": 5.427756977081299,
+      "epoch": 4.287489643744822,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00035953662105849357,
+      "loss": 5.0092,
+      "mean_token_accuracy": 0.19452760964632035,
+      "num_tokens": 9428705.0,
+      "step": 5175
+    },
+    {
+      "entropy": 5.3185462474823,
+      "epoch": 4.291632145816073,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000359240392316634,
+      "loss": 4.9177,
+      "mean_token_accuracy": 0.18542011678218842,
+      "num_tokens": 9438149.0,
+      "step": 5180
+    },
+    {
+      "entropy": 5.330511379241943,
+      "epoch": 4.295774647887324,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003589439936526974,
+      "loss": 4.8709,
+      "mean_token_accuracy": 0.19628295600414275,
+      "num_tokens": 9447566.0,
+      "step": 5185
+    },
+    {
+      "entropy": 5.303903436660766,
+      "epoch": 4.299917149958575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003586474256645525,
+      "loss": 4.9641,
+      "mean_token_accuracy": 0.1915314257144928,
+      "num_tokens": 9458156.0,
+      "step": 5190
+    },
+    {
+      "entropy": 5.410308837890625,
+      "epoch": 4.304059652029826,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035835068895040905,
+      "loss": 5.0014,
+      "mean_token_accuracy": 0.19137390553951264,
+      "num_tokens": 9467388.0,
+      "step": 5195
+    },
+    {
+      "entropy": 5.388073253631592,
+      "epoch": 4.308202154101077,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00035805378410881753,
+      "loss": 4.9642,
+      "mean_token_accuracy": 0.1940509021282196,
+      "num_tokens": 9477515.0,
+      "step": 5200
+    },
+    {
+      "entropy": 5.389194107055664,
+      "epoch": 4.312344656172328,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003577567117386675,
+      "loss": 4.9854,
+      "mean_token_accuracy": 0.1937498316168785,
+      "num_tokens": 9485851.0,
+      "step": 5205
+    },
+    {
+      "entropy": 5.377271747589111,
+      "epoch": 4.3164871582435795,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003574594724391863,
+      "loss": 4.9773,
+      "mean_token_accuracy": 0.18631901144981383,
+      "num_tokens": 9495523.0,
+      "step": 5210
+    },
+    {
+      "entropy": 5.303675985336303,
+      "epoch": 4.32062966031483,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003571620668099382,
+      "loss": 4.9104,
+      "mean_token_accuracy": 0.19740363359451293,
+      "num_tokens": 9504195.0,
+      "step": 5215
+    },
+    {
+      "entropy": 5.377063655853272,
+      "epoch": 4.324772162386081,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003568644954508227,
+      "loss": 4.9616,
+      "mean_token_accuracy": 0.1940310388803482,
+      "num_tokens": 9513313.0,
+      "step": 5220
+    },
+    {
+      "entropy": 5.400073862075805,
+      "epoch": 4.328914664457332,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003565667589620739,
+      "loss": 5.0313,
+      "mean_token_accuracy": 0.18615816980600358,
+      "num_tokens": 9522387.0,
+      "step": 5225
+    },
+    {
+      "entropy": 5.380652332305909,
+      "epoch": 4.333057166528583,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003562688579442588,
+      "loss": 4.9582,
+      "mean_token_accuracy": 0.1893748164176941,
+      "num_tokens": 9531522.0,
+      "step": 5230
+    },
+    {
+      "entropy": 5.349949216842651,
+      "epoch": 4.337199668599834,
+      "grad_norm": 1.6171875,
+      "learning_rate": 0.00035597079299827625,
+      "loss": 4.9875,
+      "mean_token_accuracy": 0.18508986830711366,
+      "num_tokens": 9540248.0,
+      "step": 5235
+    },
+    {
+      "entropy": 5.3083008289337155,
+      "epoch": 4.341342170671085,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035567256472535585,
+      "loss": 4.9192,
+      "mean_token_accuracy": 0.19538334757089615,
+      "num_tokens": 9549850.0,
+      "step": 5240
+    },
+    {
+      "entropy": 5.325525283813477,
+      "epoch": 4.345484672742336,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003553741737270566,
+      "loss": 4.9167,
+      "mean_token_accuracy": 0.19581695050001144,
+      "num_tokens": 9558929.0,
+      "step": 5245
+    },
+    {
+      "entropy": 5.291470670700074,
+      "epoch": 4.3496271748135875,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00035507562060526574,
+      "loss": 4.9163,
+      "mean_token_accuracy": 0.19085376411676408,
+      "num_tokens": 9567627.0,
+      "step": 5250
+    },
+    {
+      "entropy": 5.419774055480957,
+      "epoch": 4.353769676884839,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035477690596219763,
+      "loss": 5.0513,
+      "mean_token_accuracy": 0.18172826021909713,
+      "num_tokens": 9576223.0,
+      "step": 5255
+    },
+    {
+      "entropy": 5.422041416168213,
+      "epoch": 4.35791217895609,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00035447803040039225,
+      "loss": 5.0178,
+      "mean_token_accuracy": 0.1885324940085411,
+      "num_tokens": 9585510.0,
+      "step": 5260
+    },
+    {
+      "entropy": 5.344962453842163,
+      "epoch": 4.362054681027341,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003541789945227143,
+      "loss": 4.9361,
+      "mean_token_accuracy": 0.1920488640666008,
+      "num_tokens": 9594843.0,
+      "step": 5265
+    },
+    {
+      "entropy": 5.401527786254883,
+      "epoch": 4.366197183098592,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00035387979893235184,
+      "loss": 4.9467,
+      "mean_token_accuracy": 0.19816664457321168,
+      "num_tokens": 9604142.0,
+      "step": 5270
+    },
+    {
+      "entropy": 5.339557313919068,
+      "epoch": 4.370339685169842,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003535804442328151,
+      "loss": 4.994,
+      "mean_token_accuracy": 0.197935588657856,
+      "num_tokens": 9613669.0,
+      "step": 5275
+    },
+    {
+      "entropy": 5.395236444473267,
+      "epoch": 4.374482187241093,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00035328093102793506,
+      "loss": 4.9843,
+      "mean_token_accuracy": 0.19234263002872468,
+      "num_tokens": 9623502.0,
+      "step": 5280
+    },
+    {
+      "entropy": 5.377492380142212,
+      "epoch": 4.378624689312344,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035298125992186283,
+      "loss": 4.9784,
+      "mean_token_accuracy": 0.1910512089729309,
+      "num_tokens": 9632041.0,
+      "step": 5285
+    },
+    {
+      "entropy": 5.310422706604004,
+      "epoch": 4.3827671913835955,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00035268143151906764,
+      "loss": 4.9853,
+      "mean_token_accuracy": 0.18939480930566788,
+      "num_tokens": 9641442.0,
+      "step": 5290
+    },
+    {
+      "entropy": 5.356794643402099,
+      "epoch": 4.386909693454847,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00035238144642433616,
+      "loss": 4.956,
+      "mean_token_accuracy": 0.19045386761426925,
+      "num_tokens": 9650857.0,
+      "step": 5295
+    },
+    {
+      "entropy": 5.461606073379516,
+      "epoch": 4.391052195526098,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000352081305242771,
+      "loss": 4.9906,
+      "mean_token_accuracy": 0.1938766911625862,
+      "num_tokens": 9659173.0,
+      "step": 5300
+    },
+    {
+      "entropy": 5.355851411819458,
+      "epoch": 4.395194697597349,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035178100857978994,
+      "loss": 4.9344,
+      "mean_token_accuracy": 0.19574909955263137,
+      "num_tokens": 9668114.0,
+      "step": 5305
+    },
+    {
+      "entropy": 5.261717939376831,
+      "epoch": 4.3993371996686,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00035148055704112405,
+      "loss": 4.9927,
+      "mean_token_accuracy": 0.1930756837129593,
+      "num_tokens": 9676628.0,
+      "step": 5310
+    },
+    {
+      "entropy": 5.305881071090698,
+      "epoch": 4.403479701739851,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003511799512328168,
+      "loss": 4.8897,
+      "mean_token_accuracy": 0.19723279178142547,
+      "num_tokens": 9685801.0,
+      "step": 5315
+    },
+    {
+      "entropy": 5.3678816795349125,
+      "epoch": 4.407622203811102,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003508791917612232,
+      "loss": 4.9677,
+      "mean_token_accuracy": 0.18847441226243972,
+      "num_tokens": 9694237.0,
+      "step": 5320
+    },
+    {
+      "entropy": 5.357159948348999,
+      "epoch": 4.411764705882353,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00035057827923300785,
+      "loss": 4.887,
+      "mean_token_accuracy": 0.1993523895740509,
+      "num_tokens": 9701904.0,
+      "step": 5325
+    },
+    {
+      "entropy": 5.308569765090942,
+      "epoch": 4.415907207953604,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035027721425514414,
+      "loss": 4.8661,
+      "mean_token_accuracy": 0.20139306634664536,
+      "num_tokens": 9710784.0,
+      "step": 5330
+    },
+    {
+      "entropy": 5.310255718231201,
+      "epoch": 4.4200497100248555,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003499759974349131,
+      "loss": 4.9969,
+      "mean_token_accuracy": 0.19186950027942656,
+      "num_tokens": 9720452.0,
+      "step": 5335
+    },
+    {
+      "entropy": 5.335639381408692,
+      "epoch": 4.424192212096106,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00034967462937990194,
+      "loss": 4.9619,
+      "mean_token_accuracy": 0.18502581119537354,
+      "num_tokens": 9729122.0,
+      "step": 5340
+    },
+    {
+      "entropy": 5.414971780776978,
+      "epoch": 4.428334714167357,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000349373110698003,
+      "loss": 5.0216,
+      "mean_token_accuracy": 0.18420466929674148,
+      "num_tokens": 9738756.0,
+      "step": 5345
+    },
+    {
+      "entropy": 5.406450796127319,
+      "epoch": 4.432477216238608,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003490714419974124,
+      "loss": 5.0113,
+      "mean_token_accuracy": 0.1904602199792862,
+      "num_tokens": 9748547.0,
+      "step": 5350
+    },
+    {
+      "entropy": 5.358873558044434,
+      "epoch": 4.436619718309859,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034876962388662885,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.18162461519241332,
+      "num_tokens": 9758421.0,
+      "step": 5355
+    },
+    {
+      "entropy": 5.277571201324463,
+      "epoch": 4.44076222038111,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003484676569744525,
+      "loss": 4.8563,
+      "mean_token_accuracy": 0.19333565086126328,
+      "num_tokens": 9766855.0,
+      "step": 5360
+    },
+    {
+      "entropy": 5.348770189285278,
+      "epoch": 4.444904722452361,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003481655418699836,
+      "loss": 4.9589,
+      "mean_token_accuracy": 0.1960444375872612,
+      "num_tokens": 9776157.0,
+      "step": 5365
+    },
+    {
+      "entropy": 5.279411029815674,
+      "epoch": 4.449047224523612,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00034786327918262126,
+      "loss": 4.8489,
+      "mean_token_accuracy": 0.2087496116757393,
+      "num_tokens": 9784386.0,
+      "step": 5370
+    },
+    {
+      "entropy": 5.354473733901978,
+      "epoch": 4.4531897265948635,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00034756086952206255,
+      "loss": 4.9009,
+      "mean_token_accuracy": 0.1958460658788681,
+      "num_tokens": 9793838.0,
+      "step": 5375
+    },
+    {
+      "entropy": 5.353402185440063,
+      "epoch": 4.457332228666115,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003472583134983005,
+      "loss": 4.9971,
+      "mean_token_accuracy": 0.19221619367599488,
+      "num_tokens": 9802595.0,
+      "step": 5380
+    },
+    {
+      "entropy": 5.384884357452393,
+      "epoch": 4.461474730737366,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00034695561172162396,
+      "loss": 4.9775,
+      "mean_token_accuracy": 0.19024742841720582,
+      "num_tokens": 9811309.0,
+      "step": 5385
+    },
+    {
+      "entropy": 5.2829090595245365,
+      "epoch": 4.465617232808617,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00034665276480261526,
+      "loss": 4.9139,
+      "mean_token_accuracy": 0.1915873184800148,
+      "num_tokens": 9820327.0,
+      "step": 5390
+    },
+    {
+      "entropy": 5.351649951934815,
+      "epoch": 4.469759734879867,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003463497733521499,
+      "loss": 4.9852,
+      "mean_token_accuracy": 0.18354866653680801,
+      "num_tokens": 9829588.0,
+      "step": 5395
+    },
+    {
+      "entropy": 5.42580213546753,
+      "epoch": 4.473902236951118,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003460466379813947,
+      "loss": 4.9887,
+      "mean_token_accuracy": 0.18973219394683838,
+      "num_tokens": 9838548.0,
+      "step": 5400
+    },
+    {
+      "entropy": 5.335280847549439,
+      "epoch": 4.478044739022369,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003457433593018068,
+      "loss": 5.0018,
+      "mean_token_accuracy": 0.18838239908218385,
+      "num_tokens": 9847925.0,
+      "step": 5405
+    },
+    {
+      "entropy": 5.396121597290039,
+      "epoch": 4.48218724109362,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034543993792513243,
+      "loss": 5.0169,
+      "mean_token_accuracy": 0.18753209412097932,
+      "num_tokens": 9856839.0,
+      "step": 5410
+    },
+    {
+      "entropy": 5.37349534034729,
+      "epoch": 4.486329743164871,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003451363744634057,
+      "loss": 4.978,
+      "mean_token_accuracy": 0.19382779747247697,
+      "num_tokens": 9866519.0,
+      "step": 5415
+    },
+    {
+      "entropy": 5.430073976516724,
+      "epoch": 4.4904722452361225,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00034483266952894725,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.19110478311777115,
+      "num_tokens": 9876866.0,
+      "step": 5420
+    },
+    {
+      "entropy": 5.440963220596314,
+      "epoch": 4.494614747307374,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0003445288237343632,
+      "loss": 5.0042,
+      "mean_token_accuracy": 0.1870105817914009,
+      "num_tokens": 9884639.0,
+      "step": 5425
+    },
+    {
+      "entropy": 5.332541465759277,
+      "epoch": 4.498757249378625,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003442248376925436,
+      "loss": 4.9715,
+      "mean_token_accuracy": 0.1879585549235344,
+      "num_tokens": 9893819.0,
+      "step": 5430
+    },
+    {
+      "entropy": 5.251445341110229,
+      "epoch": 4.502899751449876,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00034392071201666167,
+      "loss": 4.9164,
+      "mean_token_accuracy": 0.19130610078573226,
+      "num_tokens": 9902419.0,
+      "step": 5435
+    },
+    {
+      "entropy": 5.390727472305298,
+      "epoch": 4.507042253521127,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000343616447320172,
+      "loss": 4.9565,
+      "mean_token_accuracy": 0.19780462980270386,
+      "num_tokens": 9912434.0,
+      "step": 5440
+    },
+    {
+      "entropy": 5.366470289230347,
+      "epoch": 4.511184755592378,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003433120442168097,
+      "loss": 4.9114,
+      "mean_token_accuracy": 0.193550705909729,
+      "num_tokens": 9921800.0,
+      "step": 5445
+    },
+    {
+      "entropy": 5.316132354736328,
+      "epoch": 4.515327257663629,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034300750332058924,
+      "loss": 4.9803,
+      "mean_token_accuracy": 0.18861733824014665,
+      "num_tokens": 9930863.0,
+      "step": 5450
+    },
+    {
+      "entropy": 5.340768337249756,
+      "epoch": 4.51946975973488,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003427028252458028,
+      "loss": 4.995,
+      "mean_token_accuracy": 0.1959969326853752,
+      "num_tokens": 9940524.0,
+      "step": 5455
+    },
+    {
+      "entropy": 5.398335361480713,
+      "epoch": 4.5236122618061305,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.0003423980106070194,
+      "loss": 4.98,
+      "mean_token_accuracy": 0.18993111699819565,
+      "num_tokens": 9948949.0,
+      "step": 5460
+    },
+    {
+      "entropy": 5.363409519195557,
+      "epoch": 4.527754763877382,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003420930600190834,
+      "loss": 5.0007,
+      "mean_token_accuracy": 0.18487946093082427,
+      "num_tokens": 9958154.0,
+      "step": 5465
+    },
+    {
+      "entropy": 5.353360748291015,
+      "epoch": 4.531897265948633,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003417879740971135,
+      "loss": 4.8917,
+      "mean_token_accuracy": 0.19643958359956742,
+      "num_tokens": 9967023.0,
+      "step": 5470
+    },
+    {
+      "entropy": 5.392623519897461,
+      "epoch": 4.536039768019884,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003414827534565014,
+      "loss": 4.9908,
+      "mean_token_accuracy": 0.18982938379049302,
+      "num_tokens": 9976596.0,
+      "step": 5475
+    },
+    {
+      "entropy": 5.358148193359375,
+      "epoch": 4.540182270091135,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00034117739871291036,
+      "loss": 4.8992,
+      "mean_token_accuracy": 0.19934887886047364,
+      "num_tokens": 9985330.0,
+      "step": 5480
+    },
+    {
+      "entropy": 5.35659613609314,
+      "epoch": 4.544324772162386,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00034087191048227445,
+      "loss": 5.032,
+      "mean_token_accuracy": 0.1861831620335579,
+      "num_tokens": 9996053.0,
+      "step": 5485
+    },
+    {
+      "entropy": 5.335864496231079,
+      "epoch": 4.548467274233637,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003405662893807967,
+      "loss": 4.9445,
+      "mean_token_accuracy": 0.1877502605319023,
+      "num_tokens": 10005517.0,
+      "step": 5490
+    },
+    {
+      "entropy": 5.389253044128418,
+      "epoch": 4.552609776304888,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003402605360249482,
+      "loss": 5.0416,
+      "mean_token_accuracy": 0.18830080330371857,
+      "num_tokens": 10014354.0,
+      "step": 5495
+    },
+    {
+      "entropy": 5.3128773212432865,
+      "epoch": 4.556752278376139,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000339954651031467,
+      "loss": 4.9238,
+      "mean_token_accuracy": 0.19178629368543626,
+      "num_tokens": 10023194.0,
+      "step": 5500
+    },
+    {
+      "epoch": 4.556752278376139,
+      "eval_entropy": 5.195640559898003,
+      "eval_loss": 5.80400276184082,
+      "eval_mean_token_accuracy": 0.15982486544323882,
+      "eval_num_tokens": 10023194.0,
+      "eval_runtime": 2.7416,
+      "eval_samples_per_second": 1366.696,
+      "eval_steps_per_second": 171.065,
+      "step": 5500
+    },
+    {
+      "entropy": 5.267048501968384,
+      "epoch": 4.5608947804473905,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00033964863501735647,
+      "loss": 4.9188,
+      "mean_token_accuracy": 0.19228280782699586,
+      "num_tokens": 10032490.0,
+      "step": 5505
+    },
+    {
+      "entropy": 5.392655229568481,
+      "epoch": 4.565037282518642,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00033934248859988453,
+      "loss": 4.9346,
+      "mean_token_accuracy": 0.19580908715724946,
+      "num_tokens": 10041613.0,
+      "step": 5510
+    },
+    {
+      "entropy": 5.262086534500122,
+      "epoch": 4.569179784589892,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003390362123965817,
+      "loss": 4.8733,
+      "mean_token_accuracy": 0.1911102056503296,
+      "num_tokens": 10050500.0,
+      "step": 5515
+    },
+    {
+      "entropy": 5.36342945098877,
+      "epoch": 4.573322286661144,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003387298070252407,
+      "loss": 4.9492,
+      "mean_token_accuracy": 0.1935834139585495,
+      "num_tokens": 10059650.0,
+      "step": 5520
+    },
+    {
+      "entropy": 5.337366104125977,
+      "epoch": 4.577464788732394,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003384232731039146,
+      "loss": 4.9844,
+      "mean_token_accuracy": 0.19709572941064835,
+      "num_tokens": 10067882.0,
+      "step": 5525
+    },
+    {
+      "entropy": 5.300627326965332,
+      "epoch": 4.581607290803645,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00033811661125091584,
+      "loss": 4.9253,
+      "mean_token_accuracy": 0.19670316576957703,
+      "num_tokens": 10077147.0,
+      "step": 5530
+    },
+    {
+      "entropy": 5.369974613189697,
+      "epoch": 4.585749792874896,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00033780982208481494,
+      "loss": 4.9829,
+      "mean_token_accuracy": 0.1897311642765999,
+      "num_tokens": 10086149.0,
+      "step": 5535
+    },
+    {
+      "entropy": 5.303711175918579,
+      "epoch": 4.589892294946147,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003375029062244392,
+      "loss": 4.9027,
+      "mean_token_accuracy": 0.20062701553106307,
+      "num_tokens": 10094997.0,
+      "step": 5540
+    },
+    {
+      "entropy": 5.461194086074829,
+      "epoch": 4.5940347970173985,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00033719586428887125,
+      "loss": 4.9635,
+      "mean_token_accuracy": 0.19236611425876618,
+      "num_tokens": 10103585.0,
+      "step": 5545
+    },
+    {
+      "entropy": 5.276572418212891,
+      "epoch": 4.59817729908865,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00033688869689744836,
+      "loss": 4.8715,
+      "mean_token_accuracy": 0.1956779330968857,
+      "num_tokens": 10113877.0,
+      "step": 5550
+    },
+    {
+      "entropy": 5.333914184570313,
+      "epoch": 4.602319801159901,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003365814046697608,
+      "loss": 4.9676,
+      "mean_token_accuracy": 0.1832288920879364,
+      "num_tokens": 10123127.0,
+      "step": 5555
+    },
+    {
+      "entropy": 5.39079098701477,
+      "epoch": 4.606462303231152,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003362739882256504,
+      "loss": 5.0347,
+      "mean_token_accuracy": 0.186669659614563,
+      "num_tokens": 10132301.0,
+      "step": 5560
+    },
+    {
+      "entropy": 5.369095230102539,
+      "epoch": 4.610604805302403,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0003359664481852099,
+      "loss": 5.0411,
+      "mean_token_accuracy": 0.18307175636291503,
+      "num_tokens": 10140985.0,
+      "step": 5565
+    },
+    {
+      "entropy": 5.309534072875977,
+      "epoch": 4.614747307373654,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00033565878516878103,
+      "loss": 4.9435,
+      "mean_token_accuracy": 0.186006298661232,
+      "num_tokens": 10149668.0,
+      "step": 5570
+    },
+    {
+      "entropy": 5.324404716491699,
+      "epoch": 4.618889809444905,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0003353509997969537,
+      "loss": 4.9982,
+      "mean_token_accuracy": 0.1883559986948967,
+      "num_tokens": 10158584.0,
+      "step": 5575
+    },
+    {
+      "entropy": 5.366722822189331,
+      "epoch": 4.623032311516155,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00033504309269056484,
+      "loss": 4.968,
+      "mean_token_accuracy": 0.19045166224241256,
+      "num_tokens": 10167657.0,
+      "step": 5580
+    },
+    {
+      "entropy": 5.274179601669312,
+      "epoch": 4.6271748135874065,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003347350644706965,
+      "loss": 4.8462,
+      "mean_token_accuracy": 0.1975993499159813,
+      "num_tokens": 10176657.0,
+      "step": 5585
+    },
+    {
+      "entropy": 5.3866353034973145,
+      "epoch": 4.631317315658658,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003344269157586754,
+      "loss": 4.9669,
+      "mean_token_accuracy": 0.19621438384056092,
+      "num_tokens": 10185132.0,
+      "step": 5590
+    },
+    {
+      "entropy": 5.304204607009888,
+      "epoch": 4.635459817729909,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00033411864717607114,
+      "loss": 4.8497,
+      "mean_token_accuracy": 0.19386404007673264,
+      "num_tokens": 10193428.0,
+      "step": 5595
+    },
+    {
+      "entropy": 5.324200677871704,
+      "epoch": 4.63960231980116,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0003338102593446951,
+      "loss": 5.0163,
+      "mean_token_accuracy": 0.18838184028863908,
+      "num_tokens": 10202549.0,
+      "step": 5600
+    },
+    {
+      "entropy": 5.341615533828735,
+      "epoch": 4.643744821872411,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00033350175288659925,
+      "loss": 4.8885,
+      "mean_token_accuracy": 0.1946927636861801,
+      "num_tokens": 10211161.0,
+      "step": 5605
+    },
+    {
+      "entropy": 5.309947538375854,
+      "epoch": 4.647887323943662,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00033319312842407483,
+      "loss": 4.9923,
+      "mean_token_accuracy": 0.18832400739192962,
+      "num_tokens": 10220988.0,
+      "step": 5610
+    },
+    {
+      "entropy": 5.2807288646698,
+      "epoch": 4.652029826014913,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003328843865796511,
+      "loss": 4.8873,
+      "mean_token_accuracy": 0.19748056083917617,
+      "num_tokens": 10229383.0,
+      "step": 5615
+    },
+    {
+      "entropy": 5.421126461029052,
+      "epoch": 4.656172328086164,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033257552797609426,
+      "loss": 4.9686,
+      "mean_token_accuracy": 0.18525946289300918,
+      "num_tokens": 10238622.0,
+      "step": 5620
+    },
+    {
+      "entropy": 5.506065034866333,
+      "epoch": 4.660314830157415,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00033226655323640553,
+      "loss": 5.0677,
+      "mean_token_accuracy": 0.18611674308776854,
+      "num_tokens": 10248201.0,
+      "step": 5625
+    },
+    {
+      "entropy": 5.445924186706543,
+      "epoch": 4.664457332228666,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000331957462983821,
+      "loss": 5.0837,
+      "mean_token_accuracy": 0.17612475752830506,
+      "num_tokens": 10258239.0,
+      "step": 5630
+    },
+    {
+      "entropy": 5.377671623229981,
+      "epoch": 4.668599834299917,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0003316482578418094,
+      "loss": 4.9675,
+      "mean_token_accuracy": 0.1935265153646469,
+      "num_tokens": 10266915.0,
+      "step": 5635
+    },
+    {
+      "entropy": 5.348722076416015,
+      "epoch": 4.672742336371169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00033133893843407126,
+      "loss": 5.0783,
+      "mean_token_accuracy": 0.18859633952379226,
+      "num_tokens": 10276826.0,
+      "step": 5640
+    },
+    {
+      "entropy": 5.327623510360718,
+      "epoch": 4.676884838442419,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00033102950538453776,
+      "loss": 4.9912,
+      "mean_token_accuracy": 0.19163501411676406,
+      "num_tokens": 10286041.0,
+      "step": 5645
+    },
+    {
+      "entropy": 5.367205619812012,
+      "epoch": 4.68102734051367,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00033071995931736897,
+      "loss": 5.0151,
+      "mean_token_accuracy": 0.19023409783840178,
+      "num_tokens": 10295258.0,
+      "step": 5650
+    },
+    {
+      "entropy": 5.404719638824463,
+      "epoch": 4.685169842584921,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00033041030085695323,
+      "loss": 4.9423,
+      "mean_token_accuracy": 0.19237637221813203,
+      "num_tokens": 10304726.0,
+      "step": 5655
+    },
+    {
+      "entropy": 5.34141435623169,
+      "epoch": 4.689312344656172,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003301005306279055,
+      "loss": 4.8745,
+      "mean_token_accuracy": 0.2018929526209831,
+      "num_tokens": 10312912.0,
+      "step": 5660
+    },
+    {
+      "entropy": 5.300086307525635,
+      "epoch": 4.693454846727423,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00032979064925506627,
+      "loss": 4.9743,
+      "mean_token_accuracy": 0.18896473944187164,
+      "num_tokens": 10322046.0,
+      "step": 5665
+    },
+    {
+      "entropy": 5.290521335601807,
+      "epoch": 4.697597348798674,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003294806573634999,
+      "loss": 4.9263,
+      "mean_token_accuracy": 0.206088125705719,
+      "num_tokens": 10331375.0,
+      "step": 5670
+    },
+    {
+      "entropy": 5.353716802597046,
+      "epoch": 4.7017398508699255,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003291705555784942,
+      "loss": 5.0624,
+      "mean_token_accuracy": 0.18850265592336654,
+      "num_tokens": 10341465.0,
+      "step": 5675
+    },
+    {
+      "entropy": 5.466339874267578,
+      "epoch": 4.705882352941177,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00032886034452555814,
+      "loss": 5.052,
+      "mean_token_accuracy": 0.18991907685995102,
+      "num_tokens": 10350137.0,
+      "step": 5680
+    },
+    {
+      "entropy": 5.3118266582489015,
+      "epoch": 4.710024855012428,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003285500248304214,
+      "loss": 4.9502,
+      "mean_token_accuracy": 0.1877942368388176,
+      "num_tokens": 10358666.0,
+      "step": 5685
+    },
+    {
+      "entropy": 5.319189500808716,
+      "epoch": 4.714167357083679,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003282395971190328,
+      "loss": 4.8375,
+      "mean_token_accuracy": 0.19829211980104447,
+      "num_tokens": 10366910.0,
+      "step": 5690
+    },
+    {
+      "entropy": 5.377291250228882,
+      "epoch": 4.71830985915493,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032792906201755876,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19080002307891847,
+      "num_tokens": 10376435.0,
+      "step": 5695
+    },
+    {
+      "entropy": 5.293179368972778,
+      "epoch": 4.72245236122618,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00032761842015238256,
+      "loss": 4.8965,
+      "mean_token_accuracy": 0.2024861231446266,
+      "num_tokens": 10384670.0,
+      "step": 5700
+    },
+    {
+      "entropy": 5.261117172241211,
+      "epoch": 4.726594863297431,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003273076721501029,
+      "loss": 4.8845,
+      "mean_token_accuracy": 0.1939824104309082,
+      "num_tokens": 10393731.0,
+      "step": 5705
+    },
+    {
+      "entropy": 5.386179351806641,
+      "epoch": 4.730737365368682,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003269968186375325,
+      "loss": 4.9916,
+      "mean_token_accuracy": 0.19829274713993073,
+      "num_tokens": 10402369.0,
+      "step": 5710
+    },
+    {
+      "entropy": 5.379951667785645,
+      "epoch": 4.7348798674399335,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003266858602416967,
+      "loss": 4.9801,
+      "mean_token_accuracy": 0.1936841771006584,
+      "num_tokens": 10411566.0,
+      "step": 5715
+    },
+    {
+      "entropy": 5.384341192245484,
+      "epoch": 4.739022369511185,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032637479758983255,
+      "loss": 5.0294,
+      "mean_token_accuracy": 0.18491634279489516,
+      "num_tokens": 10420086.0,
+      "step": 5720
+    },
+    {
+      "entropy": 5.409085655212403,
+      "epoch": 4.743164871582436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00032606363130938766,
+      "loss": 5.0704,
+      "mean_token_accuracy": 0.18897949457168578,
+      "num_tokens": 10429746.0,
+      "step": 5725
+    },
+    {
+      "entropy": 5.349277639389038,
+      "epoch": 4.747307373653687,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0003257523620280181,
+      "loss": 4.9498,
+      "mean_token_accuracy": 0.19129680693149567,
+      "num_tokens": 10438536.0,
+      "step": 5730
+    },
+    {
+      "entropy": 5.348873805999756,
+      "epoch": 4.751449875724938,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00032544099037358834,
+      "loss": 4.9497,
+      "mean_token_accuracy": 0.19692206382751465,
+      "num_tokens": 10447471.0,
+      "step": 5735
+    },
+    {
+      "entropy": 5.33362455368042,
+      "epoch": 4.755592377796189,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003251295169741688,
+      "loss": 4.962,
+      "mean_token_accuracy": 0.1995266228914261,
+      "num_tokens": 10457179.0,
+      "step": 5740
+    },
+    {
+      "entropy": 5.327010250091552,
+      "epoch": 4.75973487986744,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00032481794245803536,
+      "loss": 5.0295,
+      "mean_token_accuracy": 0.18461760133504868,
+      "num_tokens": 10466291.0,
+      "step": 5745
+    },
+    {
+      "entropy": 5.323912620544434,
+      "epoch": 4.763877381938691,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00032450626745366806,
+      "loss": 4.9102,
+      "mean_token_accuracy": 0.19402227252721788,
+      "num_tokens": 10475452.0,
+      "step": 5750
+    },
+    {
+      "entropy": 5.306818199157715,
+      "epoch": 4.768019884009942,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00032419449258974924,
+      "loss": 4.8753,
+      "mean_token_accuracy": 0.20045212656259537,
+      "num_tokens": 10484381.0,
+      "step": 5755
+    },
+    {
+      "entropy": 5.342190933227539,
+      "epoch": 4.7721623860811935,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000323882618495163,
+      "loss": 5.0665,
+      "mean_token_accuracy": 0.1831491023302078,
+      "num_tokens": 10495132.0,
+      "step": 5760
+    },
+    {
+      "entropy": 5.351349258422852,
+      "epoch": 4.776304888152444,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003235706457989934,
+      "loss": 5.0246,
+      "mean_token_accuracy": 0.1850237250328064,
+      "num_tokens": 10504519.0,
+      "step": 5765
+    },
+    {
+      "entropy": 5.387107896804809,
+      "epoch": 4.780447390223695,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032325857513052354,
+      "loss": 4.9654,
+      "mean_token_accuracy": 0.19212980419397355,
+      "num_tokens": 10513575.0,
+      "step": 5770
+    },
+    {
+      "entropy": 5.396086692810059,
+      "epoch": 4.784589892294946,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000322946407119234,
+      "loss": 5.0554,
+      "mean_token_accuracy": 0.18998173326253892,
+      "num_tokens": 10522148.0,
+      "step": 5775
+    },
+    {
+      "entropy": 5.361077404022216,
+      "epoch": 4.788732394366197,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032263414239480187,
+      "loss": 4.9891,
+      "mean_token_accuracy": 0.18589809089899062,
+      "num_tokens": 10531183.0,
+      "step": 5780
+    },
+    {
+      "entropy": 5.342947483062744,
+      "epoch": 4.792874896437448,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.000322321781587099,
+      "loss": 4.9298,
+      "mean_token_accuracy": 0.19391343146562576,
+      "num_tokens": 10540677.0,
+      "step": 5785
+    },
+    {
+      "entropy": 5.276329088211059,
+      "epoch": 4.797017398508699,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003220093253261915,
+      "loss": 4.9342,
+      "mean_token_accuracy": 0.18589555770158767,
+      "num_tokens": 10550009.0,
+      "step": 5790
+    },
+    {
+      "entropy": 5.315787076950073,
+      "epoch": 4.80115990057995,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003216967742423377,
+      "loss": 4.9621,
+      "mean_token_accuracy": 0.19312297254800798,
+      "num_tokens": 10559694.0,
+      "step": 5795
+    },
+    {
+      "entropy": 5.339448022842407,
+      "epoch": 4.8053024026512015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003213841289659872,
+      "loss": 4.9613,
+      "mean_token_accuracy": 0.20080769211053848,
+      "num_tokens": 10567965.0,
+      "step": 5800
+    },
+    {
+      "entropy": 5.312955284118653,
+      "epoch": 4.809444904722453,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003210713901277799,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.19690640568733214,
+      "num_tokens": 10577653.0,
+      "step": 5805
+    },
+    {
+      "entropy": 5.359428977966308,
+      "epoch": 4.813587406793704,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000320758558358544,
+      "loss": 4.9728,
+      "mean_token_accuracy": 0.18951950818300248,
+      "num_tokens": 10586903.0,
+      "step": 5810
+    },
+    {
+      "entropy": 5.302858638763428,
+      "epoch": 4.817729908864955,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003204456342892955,
+      "loss": 4.8829,
+      "mean_token_accuracy": 0.19500194638967513,
+      "num_tokens": 10595411.0,
+      "step": 5815
+    },
+    {
+      "entropy": 5.321697616577149,
+      "epoch": 4.821872410936205,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00032013261855123637,
+      "loss": 4.9475,
+      "mean_token_accuracy": 0.1907385230064392,
+      "num_tokens": 10604147.0,
+      "step": 5820
+    },
+    {
+      "entropy": 5.368891286849975,
+      "epoch": 4.826014913007457,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00031981951177575366,
+      "loss": 5.0445,
+      "mean_token_accuracy": 0.1850367307662964,
+      "num_tokens": 10614048.0,
+      "step": 5825
+    },
+    {
+      "entropy": 5.374803781509399,
+      "epoch": 4.830157415078707,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003195063145944178,
+      "loss": 5.0779,
+      "mean_token_accuracy": 0.18388603180646895,
+      "num_tokens": 10623399.0,
+      "step": 5830
+    },
+    {
+      "entropy": 5.389354228973389,
+      "epoch": 4.834299917149958,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003191930276389819,
+      "loss": 4.9183,
+      "mean_token_accuracy": 0.19506800919771194,
+      "num_tokens": 10632627.0,
+      "step": 5835
+    },
+    {
+      "entropy": 5.401239061355591,
+      "epoch": 4.838442419221209,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00031887965154137987,
+      "loss": 4.9726,
+      "mean_token_accuracy": 0.1816769301891327,
+      "num_tokens": 10641155.0,
+      "step": 5840
+    },
+    {
+      "entropy": 5.354168939590454,
+      "epoch": 4.8425849212924605,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003185661869337255,
+      "loss": 5.0118,
+      "mean_token_accuracy": 0.18452974855899812,
+      "num_tokens": 10649661.0,
+      "step": 5845
+    },
+    {
+      "entropy": 5.265790605545044,
+      "epoch": 4.846727423363712,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00031825263444831137,
+      "loss": 4.9151,
+      "mean_token_accuracy": 0.19235364347696304,
+      "num_tokens": 10658652.0,
+      "step": 5850
+    },
+    {
+      "entropy": 5.3790277481079105,
+      "epoch": 4.850869925434963,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003179389947176069,
+      "loss": 5.0445,
+      "mean_token_accuracy": 0.1886226385831833,
+      "num_tokens": 10668703.0,
+      "step": 5855
+    },
+    {
+      "entropy": 5.385872554779053,
+      "epoch": 4.855012427506214,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003176252683742578,
+      "loss": 4.9484,
+      "mean_token_accuracy": 0.19056980460882186,
+      "num_tokens": 10677740.0,
+      "step": 5860
+    },
+    {
+      "entropy": 5.347926044464112,
+      "epoch": 4.859154929577465,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003173114560510843,
+      "loss": 4.9447,
+      "mean_token_accuracy": 0.18929830342531204,
+      "num_tokens": 10686429.0,
+      "step": 5865
+    },
+    {
+      "entropy": 5.332098054885864,
+      "epoch": 4.863297431648716,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00031699755838108027,
+      "loss": 5.0442,
+      "mean_token_accuracy": 0.1941297546029091,
+      "num_tokens": 10696367.0,
+      "step": 5870
+    },
+    {
+      "entropy": 5.310936546325683,
+      "epoch": 4.867439933719967,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003166835759974115,
+      "loss": 4.9902,
+      "mean_token_accuracy": 0.1873769447207451,
+      "num_tokens": 10705712.0,
+      "step": 5875
+    },
+    {
+      "entropy": 5.371630382537842,
+      "epoch": 4.871582435791218,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031636950953341486,
+      "loss": 5.0345,
+      "mean_token_accuracy": 0.18638068735599517,
+      "num_tokens": 10715897.0,
+      "step": 5880
+    },
+    {
+      "entropy": 5.3334348678588865,
+      "epoch": 4.8757249378624685,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00031605535962259666,
+      "loss": 4.9268,
+      "mean_token_accuracy": 0.1887778237462044,
+      "num_tokens": 10724810.0,
+      "step": 5885
+    },
+    {
+      "entropy": 5.353308916091919,
+      "epoch": 4.87986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003157411268986316,
+      "loss": 4.9771,
+      "mean_token_accuracy": 0.1932398796081543,
+      "num_tokens": 10734661.0,
+      "step": 5890
+    },
+    {
+      "entropy": 5.287876415252685,
+      "epoch": 4.884009942004971,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003154268119953615,
+      "loss": 4.9586,
+      "mean_token_accuracy": 0.19356854259967804,
+      "num_tokens": 10743642.0,
+      "step": 5895
+    },
+    {
+      "entropy": 5.344345998764038,
+      "epoch": 4.888152444076222,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003151124155467938,
+      "loss": 4.9607,
+      "mean_token_accuracy": 0.19625648856163025,
+      "num_tokens": 10752812.0,
+      "step": 5900
+    },
+    {
+      "entropy": 5.3407337188720705,
+      "epoch": 4.892294946147473,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00031479793818710056,
+      "loss": 4.9983,
+      "mean_token_accuracy": 0.18306475579738618,
+      "num_tokens": 10762117.0,
+      "step": 5905
+    },
+    {
+      "entropy": 5.299752902984619,
+      "epoch": 4.896437448218724,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031448338055061685,
+      "loss": 4.9018,
+      "mean_token_accuracy": 0.19901909530162812,
+      "num_tokens": 10771515.0,
+      "step": 5910
+    },
+    {
+      "entropy": 5.309285831451416,
+      "epoch": 4.900579950289975,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00031416874327183994,
+      "loss": 4.9486,
+      "mean_token_accuracy": 0.19302618503570557,
+      "num_tokens": 10780610.0,
+      "step": 5915
+    },
+    {
+      "entropy": 5.22410569190979,
+      "epoch": 4.904722452361226,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031385402698542753,
+      "loss": 4.9151,
+      "mean_token_accuracy": 0.19276074767112733,
+      "num_tokens": 10789169.0,
+      "step": 5920
+    },
+    {
+      "entropy": 5.30161485671997,
+      "epoch": 4.908864954432477,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031353923232619674,
+      "loss": 4.9078,
+      "mean_token_accuracy": 0.19779694378376006,
+      "num_tokens": 10798636.0,
+      "step": 5925
+    },
+    {
+      "entropy": 5.3571271896362305,
+      "epoch": 4.9130074565037285,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003132243599291229,
+      "loss": 4.9753,
+      "mean_token_accuracy": 0.19644105434417725,
+      "num_tokens": 10808245.0,
+      "step": 5930
+    },
+    {
+      "entropy": 5.384200191497802,
+      "epoch": 4.91714995857498,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00031290941042933797,
+      "loss": 4.9679,
+      "mean_token_accuracy": 0.18787674605846405,
+      "num_tokens": 10817164.0,
+      "step": 5935
+    },
+    {
+      "entropy": 5.287544202804566,
+      "epoch": 4.92129246064623,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031259438446212953,
+      "loss": 5.0007,
+      "mean_token_accuracy": 0.18373542726039888,
+      "num_tokens": 10826098.0,
+      "step": 5940
+    },
+    {
+      "entropy": 5.33493857383728,
+      "epoch": 4.925434962717482,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00031227928266293933,
+      "loss": 5.0115,
+      "mean_token_accuracy": 0.18100205808877945,
+      "num_tokens": 10836427.0,
+      "step": 5945
+    },
+    {
+      "entropy": 5.345344829559326,
+      "epoch": 4.929577464788732,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00031196410566736215,
+      "loss": 4.9689,
+      "mean_token_accuracy": 0.19277302771806717,
+      "num_tokens": 10845804.0,
+      "step": 5950
+    },
+    {
+      "entropy": 5.3519449710845945,
+      "epoch": 4.933719966859983,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00031164885411114453,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.1908810630440712,
+      "num_tokens": 10855951.0,
+      "step": 5955
+    },
+    {
+      "entropy": 5.301464605331421,
+      "epoch": 4.937862468931234,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031133352863018315,
+      "loss": 5.079,
+      "mean_token_accuracy": 0.18923453092575074,
+      "num_tokens": 10865528.0,
+      "step": 5960
+    },
+    {
+      "entropy": 5.369193601608276,
+      "epoch": 4.942004971002485,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00031101812986052406,
+      "loss": 4.9936,
+      "mean_token_accuracy": 0.19839225262403487,
+      "num_tokens": 10874365.0,
+      "step": 5965
+    },
+    {
+      "entropy": 5.310976552963257,
+      "epoch": 4.9461474730737365,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00031070265843836107,
+      "loss": 4.9184,
+      "mean_token_accuracy": 0.1972976267337799,
+      "num_tokens": 10883034.0,
+      "step": 5970
+    },
+    {
+      "entropy": 5.323369884490967,
+      "epoch": 4.950289975144988,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003103871150000345,
+      "loss": 4.9768,
+      "mean_token_accuracy": 0.1961338758468628,
+      "num_tokens": 10892307.0,
+      "step": 5975
+    },
+    {
+      "entropy": 5.354686069488525,
+      "epoch": 4.954432477216239,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00031007150018202983,
+      "loss": 5.057,
+      "mean_token_accuracy": 0.18536237627267838,
+      "num_tokens": 10902074.0,
+      "step": 5980
+    },
+    {
+      "entropy": 5.372721862792969,
+      "epoch": 4.95857497928749,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00030975581462097673,
+      "loss": 4.8961,
+      "mean_token_accuracy": 0.19350670725107194,
+      "num_tokens": 10911205.0,
+      "step": 5985
+    },
+    {
+      "entropy": 5.278085422515869,
+      "epoch": 4.962717481358741,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00030944005895364754,
+      "loss": 4.9233,
+      "mean_token_accuracy": 0.19045489132404328,
+      "num_tokens": 10920371.0,
+      "step": 5990
+    },
+    {
+      "entropy": 5.219862222671509,
+      "epoch": 4.966859983429992,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00030912423381695584,
+      "loss": 4.9124,
+      "mean_token_accuracy": 0.20015972554683686,
+      "num_tokens": 10928741.0,
+      "step": 5995
+    },
+    {
+      "entropy": 5.3216063499450685,
+      "epoch": 4.971002485501243,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00030880833984795554,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.20140086114406586,
+      "num_tokens": 10938074.0,
+      "step": 6000
+    },
+    {
+      "epoch": 4.971002485501243,
+      "eval_entropy": 5.223882782942196,
+      "eval_loss": 5.772702217102051,
+      "eval_mean_token_accuracy": 0.16291698060437307,
+      "eval_num_tokens": 10938074.0,
+      "eval_runtime": 2.7438,
+      "eval_samples_per_second": 1365.624,
+      "eval_steps_per_second": 170.931,
+      "step": 6000
+    },
+    {
+      "entropy": 5.304221105575562,
+      "epoch": 4.975144987572493,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0003084923776838392,
+      "loss": 4.9428,
+      "mean_token_accuracy": 0.1906152918934822,
+      "num_tokens": 10946756.0,
+      "step": 6005
+    },
+    {
+      "entropy": 5.28564419746399,
+      "epoch": 4.9792874896437445,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00030817634796193705,
+      "loss": 4.9192,
+      "mean_token_accuracy": 0.19711493700742722,
+      "num_tokens": 10956313.0,
+      "step": 6010
+    },
+    {
+      "entropy": 5.420253419876099,
+      "epoch": 4.983429991714996,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00030786025131971555,
+      "loss": 4.9823,
+      "mean_token_accuracy": 0.19457563310861586,
+      "num_tokens": 10964333.0,
+      "step": 6015
+    },
+    {
+      "entropy": 5.329161500930786,
+      "epoch": 4.987572493786247,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003075440883947764,
+      "loss": 4.8999,
+      "mean_token_accuracy": 0.19664130955934525,
+      "num_tokens": 10974110.0,
+      "step": 6020
+    },
+    {
+      "entropy": 5.248602771759034,
+      "epoch": 4.991714995857498,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003072278598248544,
+      "loss": 4.9529,
+      "mean_token_accuracy": 0.19656815081834794,
+      "num_tokens": 10983186.0,
+      "step": 6025
+    },
+    {
+      "entropy": 5.307998704910278,
+      "epoch": 4.995857497928749,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00030691156624781734,
+      "loss": 4.9377,
+      "mean_token_accuracy": 0.19932860583066941,
+      "num_tokens": 10992244.0,
+      "step": 6030
+    },
+    {
+      "entropy": 5.353039836883545,
+      "epoch": 5.0,
+      "grad_norm": 1.8515625,
+      "learning_rate": 0.000306595208301664,
+      "loss": 4.927,
+      "mean_token_accuracy": 0.20540354549884796,
+      "num_tokens": 11000005.0,
+      "step": 6035
+    },
+    {
+      "entropy": 5.336960649490356,
+      "epoch": 5.004142502071251,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00030627878662452273,
+      "loss": 4.7717,
+      "mean_token_accuracy": 0.20522954761981965,
+      "num_tokens": 11009346.0,
+      "step": 6040
+    },
+    {
+      "entropy": 5.356115531921387,
+      "epoch": 5.008285004142502,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003059623018546508,
+      "loss": 4.7197,
+      "mean_token_accuracy": 0.2092713624238968,
+      "num_tokens": 11017844.0,
+      "step": 6045
+    },
+    {
+      "entropy": 5.362998294830322,
+      "epoch": 5.012427506213753,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003056457546304326,
+      "loss": 4.7531,
+      "mean_token_accuracy": 0.21363187432289124,
+      "num_tokens": 11026840.0,
+      "step": 6050
+    },
+    {
+      "entropy": 5.250718975067139,
+      "epoch": 5.016570008285004,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003053291455903782,
+      "loss": 4.7186,
+      "mean_token_accuracy": 0.2076275572180748,
+      "num_tokens": 11034906.0,
+      "step": 6055
+    },
+    {
+      "entropy": 5.263190746307373,
+      "epoch": 5.0207125103562555,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00030501247537312293,
+      "loss": 4.7802,
+      "mean_token_accuracy": 0.20651286244392394,
+      "num_tokens": 11044403.0,
+      "step": 6060
+    },
+    {
+      "entropy": 5.360515308380127,
+      "epoch": 5.024855012427507,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0003046957446174251,
+      "loss": 4.7387,
+      "mean_token_accuracy": 0.21264788061380385,
+      "num_tokens": 11052685.0,
+      "step": 6065
+    },
+    {
+      "entropy": 5.316996622085571,
+      "epoch": 5.028997514498757,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00030437895396216524,
+      "loss": 4.591,
+      "mean_token_accuracy": 0.21709324419498444,
+      "num_tokens": 11060830.0,
+      "step": 6070
+    },
+    {
+      "entropy": 5.315813970565796,
+      "epoch": 5.033140016570008,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.00030406210404634475,
+      "loss": 4.7708,
+      "mean_token_accuracy": 0.20373892933130264,
+      "num_tokens": 11070220.0,
+      "step": 6075
+    },
+    {
+      "entropy": 5.294347095489502,
+      "epoch": 5.037282518641259,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003037451955090846,
+      "loss": 4.6847,
+      "mean_token_accuracy": 0.20420003384351731,
+      "num_tokens": 11079171.0,
+      "step": 6080
+    },
+    {
+      "entropy": 5.297221279144287,
+      "epoch": 5.04142502071251,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00030342822898962377,
+      "loss": 4.7697,
+      "mean_token_accuracy": 0.20524269640445708,
+      "num_tokens": 11089205.0,
+      "step": 6085
+    },
+    {
+      "entropy": 5.273457336425781,
+      "epoch": 5.045567522783761,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003031112051273185,
+      "loss": 4.7429,
+      "mean_token_accuracy": 0.21156702935695648,
+      "num_tokens": 11098339.0,
+      "step": 6090
+    },
+    {
+      "entropy": 5.299424123764038,
+      "epoch": 5.049710024855012,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003027941245616405,
+      "loss": 4.6524,
+      "mean_token_accuracy": 0.21203886568546296,
+      "num_tokens": 11107218.0,
+      "step": 6095
+    },
+    {
+      "entropy": 5.3286974906921385,
+      "epoch": 5.0538525269262635,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003024769879321761,
+      "loss": 4.7702,
+      "mean_token_accuracy": 0.2051073744893074,
+      "num_tokens": 11116457.0,
+      "step": 6100
+    },
+    {
+      "entropy": 5.300696182250976,
+      "epoch": 5.057995028997515,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0003021597958786243,
+      "loss": 4.7449,
+      "mean_token_accuracy": 0.20762935131788254,
+      "num_tokens": 11124834.0,
+      "step": 6105
+    },
+    {
+      "entropy": 5.288244676589966,
+      "epoch": 5.062137531068766,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003018425490407962,
+      "loss": 4.76,
+      "mean_token_accuracy": 0.20868725776672364,
+      "num_tokens": 11133920.0,
+      "step": 6110
+    },
+    {
+      "entropy": 5.387529897689819,
+      "epoch": 5.066280033140017,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00030152524805861344,
+      "loss": 4.7597,
+      "mean_token_accuracy": 0.20800695270299913,
+      "num_tokens": 11143573.0,
+      "step": 6115
+    },
+    {
+      "entropy": 5.3629701137542725,
+      "epoch": 5.070422535211268,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00030120789357210667,
+      "loss": 4.8139,
+      "mean_token_accuracy": 0.20669919848442078,
+      "num_tokens": 11154255.0,
+      "step": 6120
+    },
+    {
+      "entropy": 5.300123262405395,
+      "epoch": 5.074565037282519,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00030089048622141453,
+      "loss": 4.7241,
+      "mean_token_accuracy": 0.2095050945878029,
+      "num_tokens": 11163306.0,
+      "step": 6125
+    },
+    {
+      "entropy": 5.368470001220703,
+      "epoch": 5.078707539353769,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00030057302664678243,
+      "loss": 4.7569,
+      "mean_token_accuracy": 0.20853464156389237,
+      "num_tokens": 11172763.0,
+      "step": 6130
+    },
+    {
+      "entropy": 5.33392744064331,
+      "epoch": 5.08285004142502,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00030025551548856105,
+      "loss": 4.7413,
+      "mean_token_accuracy": 0.20951523035764694,
+      "num_tokens": 11182196.0,
+      "step": 6135
+    },
+    {
+      "entropy": 5.287980794906616,
+      "epoch": 5.0869925434962715,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002999379533872051,
+      "loss": 4.7905,
+      "mean_token_accuracy": 0.19804110527038574,
+      "num_tokens": 11192462.0,
+      "step": 6140
+    },
+    {
+      "entropy": 5.281665325164795,
+      "epoch": 5.091135045567523,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002996203409832719,
+      "loss": 4.7519,
+      "mean_token_accuracy": 0.2107569918036461,
+      "num_tokens": 11201805.0,
+      "step": 6145
+    },
+    {
+      "entropy": 5.31660532951355,
+      "epoch": 5.095277547638774,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002993026789174205,
+      "loss": 4.7322,
+      "mean_token_accuracy": 0.21754502654075622,
+      "num_tokens": 11210114.0,
+      "step": 6150
+    },
+    {
+      "entropy": 5.335706996917724,
+      "epoch": 5.099420049710025,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002989849678304099,
+      "loss": 4.8147,
+      "mean_token_accuracy": 0.20241696387529373,
+      "num_tokens": 11219725.0,
+      "step": 6155
+    },
+    {
+      "entropy": 5.308135366439819,
+      "epoch": 5.103562551781276,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00029866720836309817,
+      "loss": 4.7283,
+      "mean_token_accuracy": 0.20736500322818757,
+      "num_tokens": 11228583.0,
+      "step": 6160
+    },
+    {
+      "entropy": 5.3292882442474365,
+      "epoch": 5.107705053852527,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00029834940115644086,
+      "loss": 4.7472,
+      "mean_token_accuracy": 0.20635622441768647,
+      "num_tokens": 11237787.0,
+      "step": 6165
+    },
+    {
+      "entropy": 5.2917111873626705,
+      "epoch": 5.111847555923778,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002980315468514898,
+      "loss": 4.7704,
+      "mean_token_accuracy": 0.20057149082422257,
+      "num_tokens": 11247136.0,
+      "step": 6170
+    },
+    {
+      "entropy": 5.239889097213745,
+      "epoch": 5.115990057995029,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00029771364608939196,
+      "loss": 4.6994,
+      "mean_token_accuracy": 0.20981708765029908,
+      "num_tokens": 11256931.0,
+      "step": 6175
+    },
+    {
+      "entropy": 5.272354030609131,
+      "epoch": 5.12013256006628,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002973956995113878,
+      "loss": 4.6811,
+      "mean_token_accuracy": 0.20489206910133362,
+      "num_tokens": 11266457.0,
+      "step": 6180
+    },
+    {
+      "entropy": 5.272558641433716,
+      "epoch": 5.1242750621375315,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.0002970777077588103,
+      "loss": 4.6443,
+      "mean_token_accuracy": 0.2170465260744095,
+      "num_tokens": 11274239.0,
+      "step": 6185
+    },
+    {
+      "entropy": 5.282349872589111,
+      "epoch": 5.128417564208782,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0002967596714730837,
+      "loss": 4.7752,
+      "mean_token_accuracy": 0.20363858938217164,
+      "num_tokens": 11283239.0,
+      "step": 6190
+    },
+    {
+      "entropy": 5.285331869125367,
+      "epoch": 5.132560066280033,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00029644159129572185,
+      "loss": 4.7121,
+      "mean_token_accuracy": 0.2075791761279106,
+      "num_tokens": 11291662.0,
+      "step": 6195
+    },
+    {
+      "entropy": 5.2614960193634035,
+      "epoch": 5.136702568351284,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002961234678683272,
+      "loss": 4.7453,
+      "mean_token_accuracy": 0.21309943348169327,
+      "num_tokens": 11300165.0,
+      "step": 6200
+    },
+    {
+      "entropy": 5.323043155670166,
+      "epoch": 5.140845070422535,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0002958053018325896,
+      "loss": 4.7132,
+      "mean_token_accuracy": 0.21612811386585234,
+      "num_tokens": 11309729.0,
+      "step": 6205
+    },
+    {
+      "entropy": 5.375712585449219,
+      "epoch": 5.144987572493786,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002954870938302846,
+      "loss": 4.7657,
+      "mean_token_accuracy": 0.2033802881836891,
+      "num_tokens": 11318674.0,
+      "step": 6210
+    },
+    {
+      "entropy": 5.292187595367432,
+      "epoch": 5.149130074565037,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002951688445032726,
+      "loss": 4.7309,
+      "mean_token_accuracy": 0.21144932359457017,
+      "num_tokens": 11327583.0,
+      "step": 6215
+    },
+    {
+      "entropy": 5.326848030090332,
+      "epoch": 5.153272576636288,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002948505544934971,
+      "loss": 4.7639,
+      "mean_token_accuracy": 0.2049189493060112,
+      "num_tokens": 11338132.0,
+      "step": 6220
+    },
+    {
+      "entropy": 5.31851224899292,
+      "epoch": 5.1574150787075395,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000294532224442984,
+      "loss": 4.7911,
+      "mean_token_accuracy": 0.20397177040576936,
+      "num_tokens": 11347210.0,
+      "step": 6225
+    },
+    {
+      "entropy": 5.275168132781983,
+      "epoch": 5.161557580778791,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00029421385499383976,
+      "loss": 4.6742,
+      "mean_token_accuracy": 0.22349916100502015,
+      "num_tokens": 11355479.0,
+      "step": 6230
+    },
+    {
+      "entropy": 5.348278999328613,
+      "epoch": 5.165700082850042,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00029389544678825035,
+      "loss": 4.8403,
+      "mean_token_accuracy": 0.19372698813676834,
+      "num_tokens": 11364518.0,
+      "step": 6235
+    },
+    {
+      "entropy": 5.247139596939087,
+      "epoch": 5.169842584921293,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00029357700046847985,
+      "loss": 4.737,
+      "mean_token_accuracy": 0.2046540141105652,
+      "num_tokens": 11373589.0,
+      "step": 6240
+    },
+    {
+      "entropy": 5.368101263046265,
+      "epoch": 5.173985086992544,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002932585166768694,
+      "loss": 4.7938,
+      "mean_token_accuracy": 0.20394597351551055,
+      "num_tokens": 11383209.0,
+      "step": 6245
+    },
+    {
+      "entropy": 5.315500497817993,
+      "epoch": 5.178127589063794,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00029293999605583545,
+      "loss": 4.7294,
+      "mean_token_accuracy": 0.20444581657648087,
+      "num_tokens": 11392012.0,
+      "step": 6250
+    },
+    {
+      "entropy": 5.282355690002442,
+      "epoch": 5.182270091135045,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00029262143924786905,
+      "loss": 4.7761,
+      "mean_token_accuracy": 0.20456164181232453,
+      "num_tokens": 11400489.0,
+      "step": 6255
+    },
+    {
+      "entropy": 5.2667319774627686,
+      "epoch": 5.186412593206296,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00029230284689553404,
+      "loss": 4.6817,
+      "mean_token_accuracy": 0.21175160706043245,
+      "num_tokens": 11409337.0,
+      "step": 6260
+    },
+    {
+      "entropy": 5.286681175231934,
+      "epoch": 5.190555095277547,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00029198421964146605,
+      "loss": 4.7382,
+      "mean_token_accuracy": 0.21787525415420533,
+      "num_tokens": 11418650.0,
+      "step": 6265
+    },
+    {
+      "entropy": 5.2383523941040036,
+      "epoch": 5.1946975973487985,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002916655581283709,
+      "loss": 4.747,
+      "mean_token_accuracy": 0.20590767711400987,
+      "num_tokens": 11427516.0,
+      "step": 6270
+    },
+    {
+      "entropy": 5.225810289382935,
+      "epoch": 5.19884009942005,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00029134686299902397,
+      "loss": 4.7223,
+      "mean_token_accuracy": 0.20668105334043502,
+      "num_tokens": 11435676.0,
+      "step": 6275
+    },
+    {
+      "entropy": 5.336339044570923,
+      "epoch": 5.202982601491301,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002910281348962679,
+      "loss": 4.7825,
+      "mean_token_accuracy": 0.1937339723110199,
+      "num_tokens": 11444520.0,
+      "step": 6280
+    },
+    {
+      "entropy": 5.342389440536499,
+      "epoch": 5.207125103562552,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00029070937446301225,
+      "loss": 4.7611,
+      "mean_token_accuracy": 0.20350439995527267,
+      "num_tokens": 11453759.0,
+      "step": 6285
+    },
+    {
+      "entropy": 5.377904796600342,
+      "epoch": 5.211267605633803,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002903905823422317,
+      "loss": 4.9078,
+      "mean_token_accuracy": 0.1901518851518631,
+      "num_tokens": 11463409.0,
+      "step": 6290
+    },
+    {
+      "entropy": 5.323945093154907,
+      "epoch": 5.215410107705054,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002900717591769646,
+      "loss": 4.7966,
+      "mean_token_accuracy": 0.20510322898626326,
+      "num_tokens": 11473440.0,
+      "step": 6295
+    },
+    {
+      "entropy": 5.27484130859375,
+      "epoch": 5.219552609776305,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002897529056103122,
+      "loss": 4.6336,
+      "mean_token_accuracy": 0.2183629482984543,
+      "num_tokens": 11482353.0,
+      "step": 6300
+    },
+    {
+      "entropy": 5.297479438781738,
+      "epoch": 5.223695111847556,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002894340222854371,
+      "loss": 4.7712,
+      "mean_token_accuracy": 0.20640946179628372,
+      "num_tokens": 11491331.0,
+      "step": 6305
+    },
+    {
+      "entropy": 5.215849542617798,
+      "epoch": 5.2278376139188065,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002891151098455617,
+      "loss": 4.7107,
+      "mean_token_accuracy": 0.20350281596183778,
+      "num_tokens": 11500553.0,
+      "step": 6310
+    },
+    {
+      "entropy": 5.170541191101075,
+      "epoch": 5.231980115990058,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002887961689339672,
+      "loss": 4.6526,
+      "mean_token_accuracy": 0.21051572561264037,
+      "num_tokens": 11509146.0,
+      "step": 6315
+    },
+    {
+      "entropy": 5.332199335098267,
+      "epoch": 5.236122618061309,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002884772001939924,
+      "loss": 4.7771,
+      "mean_token_accuracy": 0.20190449655056,
+      "num_tokens": 11518172.0,
+      "step": 6320
+    },
+    {
+      "entropy": 5.30375485420227,
+      "epoch": 5.24026512013256,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000288158204269032,
+      "loss": 4.7764,
+      "mean_token_accuracy": 0.19927115142345428,
+      "num_tokens": 11527291.0,
+      "step": 6325
+    },
+    {
+      "entropy": 5.285002279281616,
+      "epoch": 5.244407622203811,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00028783918180253567,
+      "loss": 4.7763,
+      "mean_token_accuracy": 0.20877851247787477,
+      "num_tokens": 11536306.0,
+      "step": 6330
+    },
+    {
+      "entropy": 5.325639486312866,
+      "epoch": 5.248550124275062,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002875201334380066,
+      "loss": 4.801,
+      "mean_token_accuracy": 0.20768691897392272,
+      "num_tokens": 11545879.0,
+      "step": 6335
+    },
+    {
+      "entropy": 5.260626125335693,
+      "epoch": 5.252692626346313,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002872010598190002,
+      "loss": 4.7203,
+      "mean_token_accuracy": 0.21331494748592378,
+      "num_tokens": 11555067.0,
+      "step": 6340
+    },
+    {
+      "entropy": 5.273142910003662,
+      "epoch": 5.256835128417564,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002868819615891229,
+      "loss": 4.699,
+      "mean_token_accuracy": 0.211579430103302,
+      "num_tokens": 11563419.0,
+      "step": 6345
+    },
+    {
+      "entropy": 5.256633758544922,
+      "epoch": 5.260977630488815,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002865628393920305,
+      "loss": 4.7696,
+      "mean_token_accuracy": 0.207663132250309,
+      "num_tokens": 11573018.0,
+      "step": 6350
+    },
+    {
+      "entropy": 5.237578821182251,
+      "epoch": 5.2651201325600665,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.0002862436938714276,
+      "loss": 4.7003,
+      "mean_token_accuracy": 0.20862672179937364,
+      "num_tokens": 11581996.0,
+      "step": 6355
+    },
+    {
+      "entropy": 5.355519008636475,
+      "epoch": 5.269262634631318,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002859245256710654,
+      "loss": 4.7534,
+      "mean_token_accuracy": 0.20775581747293473,
+      "num_tokens": 11591706.0,
+      "step": 6360
+    },
+    {
+      "entropy": 5.319948673248291,
+      "epoch": 5.273405136702569,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002856053354347411,
+      "loss": 4.7813,
+      "mean_token_accuracy": 0.2074725329875946,
+      "num_tokens": 11600616.0,
+      "step": 6365
+    },
+    {
+      "entropy": 5.243834018707275,
+      "epoch": 5.27754763877382,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002852861238062963,
+      "loss": 4.6584,
+      "mean_token_accuracy": 0.21568063348531724,
+      "num_tokens": 11609650.0,
+      "step": 6370
+    },
+    {
+      "entropy": 5.26465950012207,
+      "epoch": 5.28169014084507,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002849668914296157,
+      "loss": 4.6998,
+      "mean_token_accuracy": 0.21142313480377198,
+      "num_tokens": 11618785.0,
+      "step": 6375
+    },
+    {
+      "entropy": 5.305418300628662,
+      "epoch": 5.285832642916321,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000284647638948626,
+      "loss": 4.7576,
+      "mean_token_accuracy": 0.20556087791919708,
+      "num_tokens": 11628089.0,
+      "step": 6380
+    },
+    {
+      "entropy": 5.268257570266724,
+      "epoch": 5.289975144987572,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002843283670072942,
+      "loss": 4.8658,
+      "mean_token_accuracy": 0.19545172303915023,
+      "num_tokens": 11636954.0,
+      "step": 6385
+    },
+    {
+      "entropy": 5.275126600265503,
+      "epoch": 5.294117647058823,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0002840090762496268,
+      "loss": 4.7803,
+      "mean_token_accuracy": 0.20498874336481093,
+      "num_tokens": 11646719.0,
+      "step": 6390
+    },
+    {
+      "entropy": 5.340854024887085,
+      "epoch": 5.2982601491300745,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002836897673196681,
+      "loss": 4.7015,
+      "mean_token_accuracy": 0.20719585418701172,
+      "num_tokens": 11655589.0,
+      "step": 6395
+    },
+    {
+      "entropy": 5.227226972579956,
+      "epoch": 5.302402651201326,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00028337044086149913,
+      "loss": 4.7283,
+      "mean_token_accuracy": 0.20560554265975953,
+      "num_tokens": 11663703.0,
+      "step": 6400
+    },
+    {
+      "entropy": 5.296469211578369,
+      "epoch": 5.306545153272577,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00028305109751923616,
+      "loss": 4.8177,
+      "mean_token_accuracy": 0.20388006865978242,
+      "num_tokens": 11672643.0,
+      "step": 6405
+    },
+    {
+      "entropy": 5.270711994171142,
+      "epoch": 5.310687655343828,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00028273173793702967,
+      "loss": 4.673,
+      "mean_token_accuracy": 0.2078327417373657,
+      "num_tokens": 11681449.0,
+      "step": 6410
+    },
+    {
+      "entropy": 5.301759338378906,
+      "epoch": 5.314830157415079,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002824123627590629,
+      "loss": 4.7568,
+      "mean_token_accuracy": 0.19922166019678117,
+      "num_tokens": 11690820.0,
+      "step": 6415
+    },
+    {
+      "entropy": 5.291653823852539,
+      "epoch": 5.31897265948633,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002820929726295504,
+      "loss": 4.7858,
+      "mean_token_accuracy": 0.2068773627281189,
+      "num_tokens": 11699705.0,
+      "step": 6420
+    },
+    {
+      "entropy": 5.257635831832886,
+      "epoch": 5.323115161557581,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002817735681927371,
+      "loss": 4.7267,
+      "mean_token_accuracy": 0.21190525144338607,
+      "num_tokens": 11709417.0,
+      "step": 6425
+    },
+    {
+      "entropy": 5.305531692504883,
+      "epoch": 5.327257663628831,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00028145415009289644,
+      "loss": 4.7662,
+      "mean_token_accuracy": 0.2035451725125313,
+      "num_tokens": 11718661.0,
+      "step": 6430
+    },
+    {
+      "entropy": 5.240819025039673,
+      "epoch": 5.3314001657000825,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002811347189743297,
+      "loss": 4.7448,
+      "mean_token_accuracy": 0.21049206256866454,
+      "num_tokens": 11727568.0,
+      "step": 6435
+    },
+    {
+      "entropy": 5.250747394561768,
+      "epoch": 5.335542667771334,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00028081527548136446,
+      "loss": 4.6853,
+      "mean_token_accuracy": 0.2216053858399391,
+      "num_tokens": 11736615.0,
+      "step": 6440
+    },
+    {
+      "entropy": 5.348236608505249,
+      "epoch": 5.339685169842585,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002804958202583531,
+      "loss": 4.8181,
+      "mean_token_accuracy": 0.19986798763275146,
+      "num_tokens": 11747458.0,
+      "step": 6445
+    },
+    {
+      "entropy": 5.277511358261108,
+      "epoch": 5.343827671913836,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002801763539496718,
+      "loss": 4.7878,
+      "mean_token_accuracy": 0.2081502467393875,
+      "num_tokens": 11756279.0,
+      "step": 6450
+    },
+    {
+      "entropy": 5.279990530014038,
+      "epoch": 5.347970173985087,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002798568771997188,
+      "loss": 4.7942,
+      "mean_token_accuracy": 0.2071585923433304,
+      "num_tokens": 11765022.0,
+      "step": 6455
+    },
+    {
+      "entropy": 5.2339942932128904,
+      "epoch": 5.352112676056338,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002795373906529137,
+      "loss": 4.7376,
+      "mean_token_accuracy": 0.20560838282108307,
+      "num_tokens": 11774704.0,
+      "step": 6460
+    },
+    {
+      "entropy": 5.248803615570068,
+      "epoch": 5.356255178127589,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002792178949536959,
+      "loss": 4.6784,
+      "mean_token_accuracy": 0.21611350923776626,
+      "num_tokens": 11782309.0,
+      "step": 6465
+    },
+    {
+      "entropy": 5.28652811050415,
+      "epoch": 5.36039768019884,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000278898390746523,
+      "loss": 4.7467,
+      "mean_token_accuracy": 0.20095686316490174,
+      "num_tokens": 11792595.0,
+      "step": 6470
+    },
+    {
+      "entropy": 5.2047077178955075,
+      "epoch": 5.364540182270091,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00027857887867587005,
+      "loss": 4.7269,
+      "mean_token_accuracy": 0.21140239089727403,
+      "num_tokens": 11801536.0,
+      "step": 6475
+    },
+    {
+      "entropy": 5.271708583831787,
+      "epoch": 5.368682684341342,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002782593593862276,
+      "loss": 4.8229,
+      "mean_token_accuracy": 0.19779271334409715,
+      "num_tokens": 11810222.0,
+      "step": 6480
+    },
+    {
+      "entropy": 5.317666244506836,
+      "epoch": 5.3728251864125935,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002779398335221011,
+      "loss": 4.8066,
+      "mean_token_accuracy": 0.20721431225538253,
+      "num_tokens": 11819310.0,
+      "step": 6485
+    },
+    {
+      "entropy": 5.305458688735962,
+      "epoch": 5.376967688483845,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.0002776203017280092,
+      "loss": 4.7703,
+      "mean_token_accuracy": 0.19982181042432784,
+      "num_tokens": 11827916.0,
+      "step": 6490
+    },
+    {
+      "entropy": 5.217341518402099,
+      "epoch": 5.381110190555095,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00027730076464848225,
+      "loss": 4.7654,
+      "mean_token_accuracy": 0.20862893313169478,
+      "num_tokens": 11836770.0,
+      "step": 6495
+    },
+    {
+      "entropy": 5.276216888427735,
+      "epoch": 5.385252692626346,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00027698122292806174,
+      "loss": 4.7006,
+      "mean_token_accuracy": 0.21164953708648682,
+      "num_tokens": 11845917.0,
+      "step": 6500
+    },
+    {
+      "epoch": 5.385252692626346,
+      "eval_entropy": 5.213927641097925,
+      "eval_loss": 5.769200801849365,
+      "eval_mean_token_accuracy": 0.16407465213524508,
+      "eval_num_tokens": 11845917.0,
+      "eval_runtime": 2.9494,
+      "eval_samples_per_second": 1270.426,
+      "eval_steps_per_second": 159.015,
+      "step": 6500
+    },
+    {
+      "entropy": 5.290333843231201,
+      "epoch": 5.389395194697597,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.000276661677211298,
+      "loss": 4.7403,
+      "mean_token_accuracy": 0.20341738760471345,
+      "num_tokens": 11855118.0,
+      "step": 6505
+    },
+    {
+      "entropy": 5.278094148635864,
+      "epoch": 5.393537696768848,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002763421281427497,
+      "loss": 4.6794,
+      "mean_token_accuracy": 0.21257141679525376,
+      "num_tokens": 11863793.0,
+      "step": 6510
+    },
+    {
+      "entropy": 5.368717813491822,
+      "epoch": 5.397680198840099,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002760225763669823,
+      "loss": 4.8171,
+      "mean_token_accuracy": 0.197501078248024,
+      "num_tokens": 11873194.0,
+      "step": 6515
+    },
+    {
+      "entropy": 5.341726636886596,
+      "epoch": 5.40182270091135,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00027570302252856666,
+      "loss": 4.7747,
+      "mean_token_accuracy": 0.20519590526819229,
+      "num_tokens": 11882566.0,
+      "step": 6520
+    },
+    {
+      "entropy": 5.2676441192626955,
+      "epoch": 5.4059652029826015,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00027538346727207767,
+      "loss": 4.7475,
+      "mean_token_accuracy": 0.21314287781715394,
+      "num_tokens": 11892267.0,
+      "step": 6525
+    },
+    {
+      "entropy": 5.272220420837402,
+      "epoch": 5.410107705053853,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002750639112420934,
+      "loss": 4.7716,
+      "mean_token_accuracy": 0.21124217808246612,
+      "num_tokens": 11901440.0,
+      "step": 6530
+    },
+    {
+      "entropy": 5.270874547958374,
+      "epoch": 5.414250207125104,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00027474435508319304,
+      "loss": 4.8396,
+      "mean_token_accuracy": 0.20556266158819197,
+      "num_tokens": 11911259.0,
+      "step": 6535
+    },
+    {
+      "entropy": 5.265343093872071,
+      "epoch": 5.418392709196355,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00027442479943995645,
+      "loss": 4.7941,
+      "mean_token_accuracy": 0.2035036563873291,
+      "num_tokens": 11920467.0,
+      "step": 6540
+    },
+    {
+      "entropy": 5.283535575866699,
+      "epoch": 5.422535211267606,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002741052449569624,
+      "loss": 4.8089,
+      "mean_token_accuracy": 0.19865555614233016,
+      "num_tokens": 11929971.0,
+      "step": 6545
+    },
+    {
+      "entropy": 5.330445003509522,
+      "epoch": 5.426677713338857,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002737856922787869,
+      "loss": 4.8088,
+      "mean_token_accuracy": 0.19926221221685408,
+      "num_tokens": 11938585.0,
+      "step": 6550
+    },
+    {
+      "entropy": 5.301173543930053,
+      "epoch": 5.430820215410108,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027346614205000277,
+      "loss": 4.7884,
+      "mean_token_accuracy": 0.20320066064596176,
+      "num_tokens": 11948264.0,
+      "step": 6555
+    },
+    {
+      "entropy": 5.329202175140381,
+      "epoch": 5.434962717481358,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00027314659491517777,
+      "loss": 4.7827,
+      "mean_token_accuracy": 0.2079697236418724,
+      "num_tokens": 11958459.0,
+      "step": 6560
+    },
+    {
+      "entropy": 5.296626996994019,
+      "epoch": 5.4391052195526095,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002728270515188733,
+      "loss": 4.7728,
+      "mean_token_accuracy": 0.20527158677577972,
+      "num_tokens": 11967994.0,
+      "step": 6565
+    },
+    {
+      "entropy": 5.325187683105469,
+      "epoch": 5.443247721623861,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002725075125056435,
+      "loss": 4.8235,
+      "mean_token_accuracy": 0.21111733317375184,
+      "num_tokens": 11976564.0,
+      "step": 6570
+    },
+    {
+      "entropy": 5.296580266952515,
+      "epoch": 5.447390223695112,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002721879785200333,
+      "loss": 4.7541,
+      "mean_token_accuracy": 0.21026979386806488,
+      "num_tokens": 11985682.0,
+      "step": 6575
+    },
+    {
+      "entropy": 5.34701886177063,
+      "epoch": 5.451532725766363,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002718684502065777,
+      "loss": 4.8138,
+      "mean_token_accuracy": 0.20367322415113448,
+      "num_tokens": 11995098.0,
+      "step": 6580
+    },
+    {
+      "entropy": 5.3261590003967285,
+      "epoch": 5.455675227837614,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00027154892820980024,
+      "loss": 4.8096,
+      "mean_token_accuracy": 0.206008443236351,
+      "num_tokens": 12004538.0,
+      "step": 6585
+    },
+    {
+      "entropy": 5.262662792205811,
+      "epoch": 5.459817729908865,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00027122941317421175,
+      "loss": 4.741,
+      "mean_token_accuracy": 0.21086378544569015,
+      "num_tokens": 12012568.0,
+      "step": 6590
+    },
+    {
+      "entropy": 5.287980222702027,
+      "epoch": 5.463960231980116,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000270909905744309,
+      "loss": 4.776,
+      "mean_token_accuracy": 0.20741475820541383,
+      "num_tokens": 12021934.0,
+      "step": 6595
+    },
+    {
+      "entropy": 5.313226222991943,
+      "epoch": 5.468102734051367,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00027059040656457316,
+      "loss": 4.8104,
+      "mean_token_accuracy": 0.2010733589529991,
+      "num_tokens": 12031158.0,
+      "step": 6600
+    },
+    {
+      "entropy": 5.3314722061157225,
+      "epoch": 5.472245236122618,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002702709162794692,
+      "loss": 4.8078,
+      "mean_token_accuracy": 0.20088913142681122,
+      "num_tokens": 12040392.0,
+      "step": 6605
+    },
+    {
+      "entropy": 5.248980331420898,
+      "epoch": 5.4763877381938695,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00026995143553344394,
+      "loss": 4.6481,
+      "mean_token_accuracy": 0.21935920119285585,
+      "num_tokens": 12048412.0,
+      "step": 6610
+    },
+    {
+      "entropy": 5.258455896377564,
+      "epoch": 5.48053024026512,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00026963196497092483,
+      "loss": 4.7625,
+      "mean_token_accuracy": 0.20619691014289857,
+      "num_tokens": 12057681.0,
+      "step": 6615
+    },
+    {
+      "entropy": 5.290913534164429,
+      "epoch": 5.484672742336371,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00026931250523631905,
+      "loss": 4.7451,
+      "mean_token_accuracy": 0.20713003873825073,
+      "num_tokens": 12066243.0,
+      "step": 6620
+    },
+    {
+      "entropy": 5.215484523773194,
+      "epoch": 5.488815244407622,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026899305697401175,
+      "loss": 4.7545,
+      "mean_token_accuracy": 0.20806889086961747,
+      "num_tokens": 12075312.0,
+      "step": 6625
+    },
+    {
+      "entropy": 5.231590509414673,
+      "epoch": 5.492957746478873,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002686736208283649,
+      "loss": 4.7629,
+      "mean_token_accuracy": 0.20990005433559417,
+      "num_tokens": 12083990.0,
+      "step": 6630
+    },
+    {
+      "entropy": 5.376721620559692,
+      "epoch": 5.497100248550124,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00026835419744371627,
+      "loss": 4.8732,
+      "mean_token_accuracy": 0.19839346706867217,
+      "num_tokens": 12093301.0,
+      "step": 6635
+    },
+    {
+      "entropy": 5.241463851928711,
+      "epoch": 5.501242750621375,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002680347874643775,
+      "loss": 4.6882,
+      "mean_token_accuracy": 0.21418087482452391,
+      "num_tokens": 12102054.0,
+      "step": 6640
+    },
+    {
+      "entropy": 5.262872982025146,
+      "epoch": 5.505385252692626,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002677153915346336,
+      "loss": 4.7708,
+      "mean_token_accuracy": 0.20341249853372573,
+      "num_tokens": 12111432.0,
+      "step": 6645
+    },
+    {
+      "entropy": 5.237018823623657,
+      "epoch": 5.5095277547638775,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002673960102987412,
+      "loss": 4.7032,
+      "mean_token_accuracy": 0.21349260658025743,
+      "num_tokens": 12120424.0,
+      "step": 6650
+    },
+    {
+      "entropy": 5.301366519927979,
+      "epoch": 5.513670256835129,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00026707664440092676,
+      "loss": 4.8377,
+      "mean_token_accuracy": 0.20626042485237123,
+      "num_tokens": 12130210.0,
+      "step": 6655
+    },
+    {
+      "entropy": 5.414148330688477,
+      "epoch": 5.51781275890638,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00026675729448538655,
+      "loss": 4.8269,
+      "mean_token_accuracy": 0.21095569282770157,
+      "num_tokens": 12139366.0,
+      "step": 6660
+    },
+    {
+      "entropy": 5.2740867137908936,
+      "epoch": 5.521955260977631,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00026643796119628404,
+      "loss": 4.6432,
+      "mean_token_accuracy": 0.21321782022714614,
+      "num_tokens": 12148385.0,
+      "step": 6665
+    },
+    {
+      "entropy": 5.290845537185669,
+      "epoch": 5.526097763048882,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002661186451777495,
+      "loss": 4.7822,
+      "mean_token_accuracy": 0.20492887496948242,
+      "num_tokens": 12156640.0,
+      "step": 6670
+    },
+    {
+      "entropy": 5.280693674087525,
+      "epoch": 5.530240265120133,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002657993470738781,
+      "loss": 4.8587,
+      "mean_token_accuracy": 0.19673615247011184,
+      "num_tokens": 12166532.0,
+      "step": 6675
+    },
+    {
+      "entropy": 5.24079852104187,
+      "epoch": 5.534382767191383,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026548006752872915,
+      "loss": 4.6934,
+      "mean_token_accuracy": 0.2146509751677513,
+      "num_tokens": 12175239.0,
+      "step": 6680
+    },
+    {
+      "entropy": 5.243715524673462,
+      "epoch": 5.538525269262634,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002651608071863244,
+      "loss": 4.7611,
+      "mean_token_accuracy": 0.20688466280698775,
+      "num_tokens": 12184588.0,
+      "step": 6685
+    },
+    {
+      "entropy": 5.333131456375122,
+      "epoch": 5.542667771333885,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00026484156669064665,
+      "loss": 4.8177,
+      "mean_token_accuracy": 0.20230551064014435,
+      "num_tokens": 12194140.0,
+      "step": 6690
+    },
+    {
+      "entropy": 5.310734224319458,
+      "epoch": 5.5468102734051365,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.000264522346685639,
+      "loss": 4.8193,
+      "mean_token_accuracy": 0.20696787536144257,
+      "num_tokens": 12203504.0,
+      "step": 6695
+    },
+    {
+      "entropy": 5.33381724357605,
+      "epoch": 5.550952775476388,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0002642031478152031,
+      "loss": 4.7782,
+      "mean_token_accuracy": 0.207833394408226,
+      "num_tokens": 12212594.0,
+      "step": 6700
+    },
+    {
+      "entropy": 5.3383890151977536,
+      "epoch": 5.555095277547639,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00026388397072319786,
+      "loss": 4.8162,
+      "mean_token_accuracy": 0.2045178234577179,
+      "num_tokens": 12222101.0,
+      "step": 6705
+    },
+    {
+      "entropy": 5.29089732170105,
+      "epoch": 5.55923777961889,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002635648160534385,
+      "loss": 4.8118,
+      "mean_token_accuracy": 0.20435990989208222,
+      "num_tokens": 12232118.0,
+      "step": 6710
+    },
+    {
+      "entropy": 5.352822351455688,
+      "epoch": 5.563380281690141,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026324568444969473,
+      "loss": 4.7439,
+      "mean_token_accuracy": 0.20706239342689514,
+      "num_tokens": 12241275.0,
+      "step": 6715
+    },
+    {
+      "entropy": 5.245583724975586,
+      "epoch": 5.567522783761392,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026292657655569,
+      "loss": 4.7375,
+      "mean_token_accuracy": 0.21279312521219254,
+      "num_tokens": 12251125.0,
+      "step": 6720
+    },
+    {
+      "entropy": 5.229356813430786,
+      "epoch": 5.571665285832643,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00026260749301509954,
+      "loss": 4.7241,
+      "mean_token_accuracy": 0.21198077648878097,
+      "num_tokens": 12260613.0,
+      "step": 6725
+    },
+    {
+      "entropy": 5.324583339691162,
+      "epoch": 5.575807787903894,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026228843447155005,
+      "loss": 4.733,
+      "mean_token_accuracy": 0.2107634127140045,
+      "num_tokens": 12269878.0,
+      "step": 6730
+    },
+    {
+      "entropy": 5.270222854614258,
+      "epoch": 5.5799502899751445,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00026196940156861736,
+      "loss": 4.7819,
+      "mean_token_accuracy": 0.20616225749254227,
+      "num_tokens": 12278616.0,
+      "step": 6735
+    },
+    {
+      "entropy": 5.194797945022583,
+      "epoch": 5.584092792046396,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00026165039494982555,
+      "loss": 4.7068,
+      "mean_token_accuracy": 0.2110671728849411,
+      "num_tokens": 12287104.0,
+      "step": 6740
+    },
+    {
+      "entropy": 5.187378549575806,
+      "epoch": 5.588235294117647,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00026133141525864605,
+      "loss": 4.7357,
+      "mean_token_accuracy": 0.20822987705469131,
+      "num_tokens": 12296503.0,
+      "step": 6745
+    },
+    {
+      "entropy": 5.294446992874145,
+      "epoch": 5.592377796188898,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00026101246313849557,
+      "loss": 4.6989,
+      "mean_token_accuracy": 0.2123148426413536,
+      "num_tokens": 12306298.0,
+      "step": 6750
+    },
+    {
+      "entropy": 5.2862865924835205,
+      "epoch": 5.596520298260149,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0002606935392327356,
+      "loss": 4.7664,
+      "mean_token_accuracy": 0.20611962229013442,
+      "num_tokens": 12314826.0,
+      "step": 6755
+    },
+    {
+      "entropy": 5.258157396316529,
+      "epoch": 5.6006628003314,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00026037464418467035,
+      "loss": 4.7079,
+      "mean_token_accuracy": 0.21357058137655258,
+      "num_tokens": 12323776.0,
+      "step": 6760
+    },
+    {
+      "entropy": 5.312329053878784,
+      "epoch": 5.604805302402651,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002600557786375459,
+      "loss": 4.7819,
+      "mean_token_accuracy": 0.20854859054088593,
+      "num_tokens": 12332374.0,
+      "step": 6765
+    },
+    {
+      "entropy": 5.217779874801636,
+      "epoch": 5.608947804473902,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00025973694323454916,
+      "loss": 4.6354,
+      "mean_token_accuracy": 0.21756067872047424,
+      "num_tokens": 12341007.0,
+      "step": 6770
+    },
+    {
+      "entropy": 5.175305271148682,
+      "epoch": 5.613090306545153,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00025941813861880575,
+      "loss": 4.7114,
+      "mean_token_accuracy": 0.20966241657733917,
+      "num_tokens": 12350330.0,
+      "step": 6775
+    },
+    {
+      "entropy": 5.267894315719604,
+      "epoch": 5.6172328086164045,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00025909936543337957,
+      "loss": 4.7519,
+      "mean_token_accuracy": 0.1993374451994896,
+      "num_tokens": 12358592.0,
+      "step": 6780
+    },
+    {
+      "entropy": 5.290813016891479,
+      "epoch": 5.621375310687656,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002587806243212709,
+      "loss": 4.7692,
+      "mean_token_accuracy": 0.20917081385850905,
+      "num_tokens": 12368195.0,
+      "step": 6785
+    },
+    {
+      "entropy": 5.241605234146118,
+      "epoch": 5.625517812758907,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002584619159254154,
+      "loss": 4.7124,
+      "mean_token_accuracy": 0.20834194272756576,
+      "num_tokens": 12377206.0,
+      "step": 6790
+    },
+    {
+      "entropy": 5.247827816009521,
+      "epoch": 5.629660314830158,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00025814324088868276,
+      "loss": 4.7593,
+      "mean_token_accuracy": 0.21013118624687194,
+      "num_tokens": 12386595.0,
+      "step": 6795
+    },
+    {
+      "entropy": 5.175970602035522,
+      "epoch": 5.633802816901408,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00025782459985387526,
+      "loss": 4.6569,
+      "mean_token_accuracy": 0.2180004358291626,
+      "num_tokens": 12395923.0,
+      "step": 6800
+    },
+    {
+      "entropy": 5.269517803192139,
+      "epoch": 5.637945318972659,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002575059934637268,
+      "loss": 4.7985,
+      "mean_token_accuracy": 0.20669761300086975,
+      "num_tokens": 12405094.0,
+      "step": 6805
+    },
+    {
+      "entropy": 5.268765878677368,
+      "epoch": 5.64208782104391,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002571874223609012,
+      "loss": 4.7972,
+      "mean_token_accuracy": 0.20435070544481276,
+      "num_tokens": 12414834.0,
+      "step": 6810
+    },
+    {
+      "entropy": 5.294848012924194,
+      "epoch": 5.646230323115161,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00025686888718799136,
+      "loss": 4.7513,
+      "mean_token_accuracy": 0.20469613671302794,
+      "num_tokens": 12423485.0,
+      "step": 6815
+    },
+    {
+      "entropy": 5.368587017059326,
+      "epoch": 5.6503728251864125,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002565503885875173,
+      "loss": 4.7935,
+      "mean_token_accuracy": 0.20704300552606583,
+      "num_tokens": 12432149.0,
+      "step": 6820
+    },
+    {
+      "entropy": 5.2622401237487795,
+      "epoch": 5.654515327257664,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00025623192720192564,
+      "loss": 4.7433,
+      "mean_token_accuracy": 0.2119109019637108,
+      "num_tokens": 12441272.0,
+      "step": 6825
+    },
+    {
+      "entropy": 5.190871524810791,
+      "epoch": 5.658657829328915,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002559135036735877,
+      "loss": 4.7388,
+      "mean_token_accuracy": 0.20155471414327622,
+      "num_tokens": 12449318.0,
+      "step": 6830
+    },
+    {
+      "entropy": 5.168833065032959,
+      "epoch": 5.662800331400166,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00025559511864479864,
+      "loss": 4.6898,
+      "mean_token_accuracy": 0.21231105625629426,
+      "num_tokens": 12458473.0,
+      "step": 6835
+    },
+    {
+      "entropy": 5.313192129135132,
+      "epoch": 5.666942833471417,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002552767727577758,
+      "loss": 4.8113,
+      "mean_token_accuracy": 0.20445662438869477,
+      "num_tokens": 12467703.0,
+      "step": 6840
+    },
+    {
+      "entropy": 5.292496681213379,
+      "epoch": 5.671085335542668,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00025495846665465774,
+      "loss": 4.6938,
+      "mean_token_accuracy": 0.21795116513967513,
+      "num_tokens": 12476166.0,
+      "step": 6845
+    },
+    {
+      "entropy": 5.235640621185302,
+      "epoch": 5.675227837613919,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002546402009775024,
+      "loss": 4.7403,
+      "mean_token_accuracy": 0.20330073386430741,
+      "num_tokens": 12484880.0,
+      "step": 6850
+    },
+    {
+      "entropy": 5.31177544593811,
+      "epoch": 5.679370339685169,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00025432197636828663,
+      "loss": 4.8103,
+      "mean_token_accuracy": 0.20381423085927963,
+      "num_tokens": 12494208.0,
+      "step": 6855
+    },
+    {
+      "entropy": 5.334811210632324,
+      "epoch": 5.683512841756421,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002540037934689042,
+      "loss": 4.8024,
+      "mean_token_accuracy": 0.20098040848970414,
+      "num_tokens": 12503647.0,
+      "step": 6860
+    },
+    {
+      "entropy": 5.295432138442993,
+      "epoch": 5.687655343827672,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00025368565292116475,
+      "loss": 4.8225,
+      "mean_token_accuracy": 0.20177613645792009,
+      "num_tokens": 12512869.0,
+      "step": 6865
+    },
+    {
+      "entropy": 5.28051609992981,
+      "epoch": 5.691797845898923,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002533675553667927,
+      "loss": 4.8747,
+      "mean_token_accuracy": 0.19059171974658967,
+      "num_tokens": 12523222.0,
+      "step": 6870
+    },
+    {
+      "entropy": 5.24097170829773,
+      "epoch": 5.695940347970174,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00025304950144742523,
+      "loss": 4.7456,
+      "mean_token_accuracy": 0.20784133225679396,
+      "num_tokens": 12532343.0,
+      "step": 6875
+    },
+    {
+      "entropy": 5.255422782897949,
+      "epoch": 5.700082850041425,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002527314918046122,
+      "loss": 4.7467,
+      "mean_token_accuracy": 0.21441746652126312,
+      "num_tokens": 12541508.0,
+      "step": 6880
+    },
+    {
+      "entropy": 5.222242641448974,
+      "epoch": 5.704225352112676,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0002524135270798136,
+      "loss": 4.7731,
+      "mean_token_accuracy": 0.20265263617038726,
+      "num_tokens": 12550837.0,
+      "step": 6885
+    },
+    {
+      "entropy": 5.259101152420044,
+      "epoch": 5.708367854183927,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00025209560791439914,
+      "loss": 4.7223,
+      "mean_token_accuracy": 0.21348682641983033,
+      "num_tokens": 12559859.0,
+      "step": 6890
+    },
+    {
+      "entropy": 5.279586315155029,
+      "epoch": 5.712510356255178,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002517777349496465,
+      "loss": 4.8096,
+      "mean_token_accuracy": 0.20708946287631988,
+      "num_tokens": 12569137.0,
+      "step": 6895
+    },
+    {
+      "entropy": 5.332545948028565,
+      "epoch": 5.716652858326429,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002514599088267401,
+      "loss": 4.8391,
+      "mean_token_accuracy": 0.20370080918073655,
+      "num_tokens": 12578111.0,
+      "step": 6900
+    },
+    {
+      "entropy": 5.30065131187439,
+      "epoch": 5.72079536039768,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00025114213018677004,
+      "loss": 4.7826,
+      "mean_token_accuracy": 0.21398544907569886,
+      "num_tokens": 12587604.0,
+      "step": 6905
+    },
+    {
+      "entropy": 5.328654146194458,
+      "epoch": 5.7249378624689315,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002508243996707305,
+      "loss": 4.7982,
+      "mean_token_accuracy": 0.2033779114484787,
+      "num_tokens": 12596620.0,
+      "step": 6910
+    },
+    {
+      "entropy": 5.252767944335938,
+      "epoch": 5.729080364540183,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00025050671791951887,
+      "loss": 4.7682,
+      "mean_token_accuracy": 0.20568756759166718,
+      "num_tokens": 12605452.0,
+      "step": 6915
+    },
+    {
+      "entropy": 5.195128536224365,
+      "epoch": 5.733222866611433,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002501890855739337,
+      "loss": 4.6654,
+      "mean_token_accuracy": 0.22127037048339843,
+      "num_tokens": 12614009.0,
+      "step": 6920
+    },
+    {
+      "entropy": 5.287421989440918,
+      "epoch": 5.737365368682684,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00024987150327467414,
+      "loss": 4.8201,
+      "mean_token_accuracy": 0.2010796323418617,
+      "num_tokens": 12624135.0,
+      "step": 6925
+    },
+    {
+      "entropy": 5.221401596069336,
+      "epoch": 5.741507870753935,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024955397166233855,
+      "loss": 4.6474,
+      "mean_token_accuracy": 0.22327282428741455,
+      "num_tokens": 12632870.0,
+      "step": 6930
+    },
+    {
+      "entropy": 5.304728364944458,
+      "epoch": 5.745650372825186,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024923649137742276,
+      "loss": 4.8549,
+      "mean_token_accuracy": 0.1950896918773651,
+      "num_tokens": 12643606.0,
+      "step": 6935
+    },
+    {
+      "entropy": 5.385456705093384,
+      "epoch": 5.749792874896437,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0002489190630603194,
+      "loss": 4.8834,
+      "mean_token_accuracy": 0.20502226054668427,
+      "num_tokens": 12652926.0,
+      "step": 6940
+    },
+    {
+      "entropy": 5.331468009948731,
+      "epoch": 5.753935376967688,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002486016873513159,
+      "loss": 4.8219,
+      "mean_token_accuracy": 0.20297979861497878,
+      "num_tokens": 12661841.0,
+      "step": 6945
+    },
+    {
+      "entropy": 5.257536315917969,
+      "epoch": 5.7580778790389395,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002482843648905937,
+      "loss": 4.7409,
+      "mean_token_accuracy": 0.2069641500711441,
+      "num_tokens": 12670527.0,
+      "step": 6950
+    },
+    {
+      "entropy": 5.216205167770386,
+      "epoch": 5.762220381110191,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002479670963182271,
+      "loss": 4.7365,
+      "mean_token_accuracy": 0.19854751229286194,
+      "num_tokens": 12680346.0,
+      "step": 6955
+    },
+    {
+      "entropy": 5.315979433059693,
+      "epoch": 5.766362883181442,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00024764988227418114,
+      "loss": 4.8273,
+      "mean_token_accuracy": 0.20946504771709443,
+      "num_tokens": 12691088.0,
+      "step": 6960
+    },
+    {
+      "entropy": 5.343829536437989,
+      "epoch": 5.770505385252693,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002473327233983116,
+      "loss": 4.7894,
+      "mean_token_accuracy": 0.20746862143278122,
+      "num_tokens": 12700296.0,
+      "step": 6965
+    },
+    {
+      "entropy": 5.241484355926514,
+      "epoch": 5.774647887323944,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002470156203303622,
+      "loss": 4.7882,
+      "mean_token_accuracy": 0.20888512581586838,
+      "num_tokens": 12709595.0,
+      "step": 6970
+    },
+    {
+      "entropy": 5.276812028884888,
+      "epoch": 5.778790389395195,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0002466985737099649,
+      "loss": 4.838,
+      "mean_token_accuracy": 0.20352406352758406,
+      "num_tokens": 12719052.0,
+      "step": 6975
+    },
+    {
+      "entropy": 5.237840700149536,
+      "epoch": 5.782932891466446,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002463815841766371,
+      "loss": 4.7033,
+      "mean_token_accuracy": 0.21847177892923356,
+      "num_tokens": 12727287.0,
+      "step": 6980
+    },
+    {
+      "entropy": 5.252689790725708,
+      "epoch": 5.787075393537696,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002460646523697813,
+      "loss": 4.7649,
+      "mean_token_accuracy": 0.2055829644203186,
+      "num_tokens": 12736511.0,
+      "step": 6985
+    },
+    {
+      "entropy": 5.295902395248413,
+      "epoch": 5.7912178956089475,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00024574777892868386,
+      "loss": 4.7758,
+      "mean_token_accuracy": 0.20809024274349214,
+      "num_tokens": 12745597.0,
+      "step": 6990
+    },
+    {
+      "entropy": 5.260382986068725,
+      "epoch": 5.795360397680199,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00024543096449251286,
+      "loss": 4.6362,
+      "mean_token_accuracy": 0.221256822347641,
+      "num_tokens": 12753492.0,
+      "step": 6995
+    },
+    {
+      "entropy": 5.3082959175109865,
+      "epoch": 5.79950289975145,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002451142097003177,
+      "loss": 4.7765,
+      "mean_token_accuracy": 0.21173641979694366,
+      "num_tokens": 12761999.0,
+      "step": 7000
+    },
+    {
+      "epoch": 5.79950289975145,
+      "eval_entropy": 5.159527343473455,
+      "eval_loss": 5.7473931312561035,
+      "eval_mean_token_accuracy": 0.1656088415525361,
+      "eval_num_tokens": 12761999.0,
+      "eval_runtime": 2.7553,
+      "eval_samples_per_second": 1359.941,
+      "eval_steps_per_second": 170.219,
+      "step": 7000
+    },
+    {
+      "entropy": 5.250266122817993,
+      "epoch": 5.803645401822701,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002447975151910276,
+      "loss": 4.6884,
+      "mean_token_accuracy": 0.20662099421024321,
+      "num_tokens": 12770922.0,
+      "step": 7005
+    },
+    {
+      "entropy": 5.225958204269409,
+      "epoch": 5.807787903893952,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00024448088160344974,
+      "loss": 4.72,
+      "mean_token_accuracy": 0.2077726110816002,
+      "num_tokens": 12779539.0,
+      "step": 7010
+    },
+    {
+      "entropy": 5.266984176635742,
+      "epoch": 5.811930405965203,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002441643095762688,
+      "loss": 4.7539,
+      "mean_token_accuracy": 0.20866499096155167,
+      "num_tokens": 12788121.0,
+      "step": 7015
+    },
+    {
+      "entropy": 5.206212854385376,
+      "epoch": 5.816072908036454,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000243847799748045,
+      "loss": 4.6301,
+      "mean_token_accuracy": 0.21100328713655472,
+      "num_tokens": 12797390.0,
+      "step": 7020
+    },
+    {
+      "entropy": 5.249676036834717,
+      "epoch": 5.820215410107705,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00024353135275721356,
+      "loss": 4.8644,
+      "mean_token_accuracy": 0.19687919616699218,
+      "num_tokens": 12807876.0,
+      "step": 7025
+    },
+    {
+      "entropy": 5.184282016754151,
+      "epoch": 5.824357912178956,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00024321496924208235,
+      "loss": 4.6805,
+      "mean_token_accuracy": 0.2075910523533821,
+      "num_tokens": 12816496.0,
+      "step": 7030
+    },
+    {
+      "entropy": 5.282375478744507,
+      "epoch": 5.8285004142502075,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00024289864984083166,
+      "loss": 4.7571,
+      "mean_token_accuracy": 0.21421819925308228,
+      "num_tokens": 12825925.0,
+      "step": 7035
+    },
+    {
+      "entropy": 5.330373096466064,
+      "epoch": 5.832642916321458,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002425823951915122,
+      "loss": 4.776,
+      "mean_token_accuracy": 0.20406203866004943,
+      "num_tokens": 12835479.0,
+      "step": 7040
+    },
+    {
+      "entropy": 5.227119112014771,
+      "epoch": 5.836785418392709,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002422662059320442,
+      "loss": 4.6764,
+      "mean_token_accuracy": 0.2194245144724846,
+      "num_tokens": 12844024.0,
+      "step": 7045
+    },
+    {
+      "entropy": 5.242313861846924,
+      "epoch": 5.84092792046396,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00024195008270021595,
+      "loss": 4.6767,
+      "mean_token_accuracy": 0.21089302152395248,
+      "num_tokens": 12852673.0,
+      "step": 7050
+    },
+    {
+      "entropy": 5.168107366561889,
+      "epoch": 5.845070422535211,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00024163402613368252,
+      "loss": 4.7042,
+      "mean_token_accuracy": 0.21519682556390762,
+      "num_tokens": 12861191.0,
+      "step": 7055
+    },
+    {
+      "entropy": 5.273849678039551,
+      "epoch": 5.849212924606462,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00024131803686996457,
+      "loss": 4.8483,
+      "mean_token_accuracy": 0.20502860397100447,
+      "num_tokens": 12870874.0,
+      "step": 7060
+    },
+    {
+      "entropy": 5.314899635314942,
+      "epoch": 5.853355426677713,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00024100211554644696,
+      "loss": 4.7741,
+      "mean_token_accuracy": 0.21026002764701843,
+      "num_tokens": 12879896.0,
+      "step": 7065
+    },
+    {
+      "entropy": 5.297897291183472,
+      "epoch": 5.857497928748964,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00024068626280037753,
+      "loss": 4.786,
+      "mean_token_accuracy": 0.20807335823774337,
+      "num_tokens": 12888665.0,
+      "step": 7070
+    },
+    {
+      "entropy": 5.261636590957641,
+      "epoch": 5.8616404308202155,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00024037047926886578,
+      "loss": 4.7416,
+      "mean_token_accuracy": 0.20277187824249268,
+      "num_tokens": 12897477.0,
+      "step": 7075
+    },
+    {
+      "entropy": 5.251101160049439,
+      "epoch": 5.865782932891467,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024005476558888172,
+      "loss": 4.794,
+      "mean_token_accuracy": 0.2007831260561943,
+      "num_tokens": 12905934.0,
+      "step": 7080
+    },
+    {
+      "entropy": 5.255609798431396,
+      "epoch": 5.869925434962718,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002397391223972541,
+      "loss": 4.7929,
+      "mean_token_accuracy": 0.20374300181865693,
+      "num_tokens": 12915092.0,
+      "step": 7085
+    },
+    {
+      "entropy": 5.2630064487457275,
+      "epoch": 5.874067937033969,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00023942355033066993,
+      "loss": 4.8721,
+      "mean_token_accuracy": 0.19899580031633377,
+      "num_tokens": 12924775.0,
+      "step": 7090
+    },
+    {
+      "entropy": 5.329388093948364,
+      "epoch": 5.87821043910522,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00023910805002567244,
+      "loss": 4.7789,
+      "mean_token_accuracy": 0.2048063576221466,
+      "num_tokens": 12933677.0,
+      "step": 7095
+    },
+    {
+      "entropy": 5.261180973052978,
+      "epoch": 5.882352941176471,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002387926221186603,
+      "loss": 4.8017,
+      "mean_token_accuracy": 0.2079474300146103,
+      "num_tokens": 12942416.0,
+      "step": 7100
+    },
+    {
+      "entropy": 5.231311798095703,
+      "epoch": 5.886495443247721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00023847726724588608,
+      "loss": 4.7718,
+      "mean_token_accuracy": 0.21066755801439285,
+      "num_tokens": 12952284.0,
+      "step": 7105
+    },
+    {
+      "entropy": 5.278716087341309,
+      "epoch": 5.890637945318972,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002381619860434549,
+      "loss": 4.8123,
+      "mean_token_accuracy": 0.19911128133535386,
+      "num_tokens": 12960694.0,
+      "step": 7110
+    },
+    {
+      "entropy": 5.215971040725708,
+      "epoch": 5.894780447390223,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00023784677914732356,
+      "loss": 4.727,
+      "mean_token_accuracy": 0.20931341648101806,
+      "num_tokens": 12969138.0,
+      "step": 7115
+    },
+    {
+      "entropy": 5.292342042922973,
+      "epoch": 5.8989229494614746,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00023753164719329868,
+      "loss": 4.766,
+      "mean_token_accuracy": 0.20421497970819474,
+      "num_tokens": 12978518.0,
+      "step": 7120
+    },
+    {
+      "entropy": 5.309631299972534,
+      "epoch": 5.903065451532726,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00023721659081703595,
+      "loss": 4.7856,
+      "mean_token_accuracy": 0.2164353221654892,
+      "num_tokens": 12987506.0,
+      "step": 7125
+    },
+    {
+      "entropy": 5.2704308986663815,
+      "epoch": 5.907207953603977,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023690161065403838,
+      "loss": 4.7667,
+      "mean_token_accuracy": 0.20384967178106309,
+      "num_tokens": 12996259.0,
+      "step": 7130
+    },
+    {
+      "entropy": 5.284243488311768,
+      "epoch": 5.911350455675228,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002365867073396555,
+      "loss": 4.7914,
+      "mean_token_accuracy": 0.20621232688426971,
+      "num_tokens": 13005430.0,
+      "step": 7135
+    },
+    {
+      "entropy": 5.2192955493927,
+      "epoch": 5.915492957746479,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023627188150908174,
+      "loss": 4.7414,
+      "mean_token_accuracy": 0.21523537784814833,
+      "num_tokens": 13014915.0,
+      "step": 7140
+    },
+    {
+      "entropy": 5.267714023590088,
+      "epoch": 5.91963545981773,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00023595713379735494,
+      "loss": 4.7483,
+      "mean_token_accuracy": 0.20747244358062744,
+      "num_tokens": 13023471.0,
+      "step": 7145
+    },
+    {
+      "entropy": 5.29262957572937,
+      "epoch": 5.923777961888981,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00023564246483935602,
+      "loss": 4.7364,
+      "mean_token_accuracy": 0.20276205390691757,
+      "num_tokens": 13033270.0,
+      "step": 7150
+    },
+    {
+      "entropy": 5.26424388885498,
+      "epoch": 5.927920463960232,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002353278752698063,
+      "loss": 4.7029,
+      "mean_token_accuracy": 0.2120548114180565,
+      "num_tokens": 13043300.0,
+      "step": 7155
+    },
+    {
+      "entropy": 5.261445045471191,
+      "epoch": 5.9320629660314825,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002350133657232676,
+      "loss": 4.7627,
+      "mean_token_accuracy": 0.20174376368522645,
+      "num_tokens": 13052152.0,
+      "step": 7160
+    },
+    {
+      "entropy": 5.286171960830688,
+      "epoch": 5.9362054681027345,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002346989368341399,
+      "loss": 4.8033,
+      "mean_token_accuracy": 0.20869386494159697,
+      "num_tokens": 13061704.0,
+      "step": 7165
+    },
+    {
+      "entropy": 5.280704736709595,
+      "epoch": 5.940347970173985,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023438458923666057,
+      "loss": 4.7209,
+      "mean_token_accuracy": 0.2152332365512848,
+      "num_tokens": 13071055.0,
+      "step": 7170
+    },
+    {
+      "entropy": 5.268754768371582,
+      "epoch": 5.944490472245236,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002340703235649032,
+      "loss": 4.8331,
+      "mean_token_accuracy": 0.1926100879907608,
+      "num_tokens": 13080023.0,
+      "step": 7175
+    },
+    {
+      "entropy": 5.263068819046021,
+      "epoch": 5.948632974316487,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00023375614045277593,
+      "loss": 4.7536,
+      "mean_token_accuracy": 0.20691772699356079,
+      "num_tokens": 13088690.0,
+      "step": 7180
+    },
+    {
+      "entropy": 5.232177972793579,
+      "epoch": 5.952775476387738,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00023344204053402047,
+      "loss": 4.7377,
+      "mean_token_accuracy": 0.21229761391878127,
+      "num_tokens": 13097116.0,
+      "step": 7185
+    },
+    {
+      "entropy": 5.343814706802368,
+      "epoch": 5.956917978458989,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00023312802444221066,
+      "loss": 4.7995,
+      "mean_token_accuracy": 0.20769918113946914,
+      "num_tokens": 13106463.0,
+      "step": 7190
+    },
+    {
+      "entropy": 5.273978662490845,
+      "epoch": 5.96106048053024,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002328140928107511,
+      "loss": 4.7045,
+      "mean_token_accuracy": 0.21413260698318481,
+      "num_tokens": 13115769.0,
+      "step": 7195
+    },
+    {
+      "entropy": 5.293670988082885,
+      "epoch": 5.965202982601491,
+      "grad_norm": 1.6875,
+      "learning_rate": 0.0002325002462728766,
+      "loss": 4.8058,
+      "mean_token_accuracy": 0.20858496129512788,
+      "num_tokens": 13124928.0,
+      "step": 7200
+    },
+    {
+      "entropy": 5.264481544494629,
+      "epoch": 5.9693454846727425,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00023218648546164945,
+      "loss": 4.7587,
+      "mean_token_accuracy": 0.20816877782344817,
+      "num_tokens": 13134106.0,
+      "step": 7205
+    },
+    {
+      "entropy": 5.401337671279907,
+      "epoch": 5.973487986743994,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002318728110099599,
+      "loss": 4.9463,
+      "mean_token_accuracy": 0.19887659698724747,
+      "num_tokens": 13143019.0,
+      "step": 7210
+    },
+    {
+      "entropy": 5.267350912094116,
+      "epoch": 5.977630488815245,
+      "grad_norm": 1.625,
+      "learning_rate": 0.00023155922355052339,
+      "loss": 4.6633,
+      "mean_token_accuracy": 0.223431359231472,
+      "num_tokens": 13152675.0,
+      "step": 7215
+    },
+    {
+      "entropy": 5.256755113601685,
+      "epoch": 5.981772990886496,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00023124572371588,
+      "loss": 4.6968,
+      "mean_token_accuracy": 0.2141074687242508,
+      "num_tokens": 13161094.0,
+      "step": 7220
+    },
+    {
+      "entropy": 5.22665810585022,
+      "epoch": 5.985915492957746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00023093231213839344,
+      "loss": 4.7801,
+      "mean_token_accuracy": 0.2072029694914818,
+      "num_tokens": 13170858.0,
+      "step": 7225
+    },
+    {
+      "entropy": 5.248539400100708,
+      "epoch": 5.990057995028997,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002306189894502488,
+      "loss": 4.8402,
+      "mean_token_accuracy": 0.1976972222328186,
+      "num_tokens": 13179668.0,
+      "step": 7230
+    },
+    {
+      "entropy": 5.278863763809204,
+      "epoch": 5.994200497100248,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00023030575628345246,
+      "loss": 4.7021,
+      "mean_token_accuracy": 0.2132765233516693,
+      "num_tokens": 13188312.0,
+      "step": 7235
+    },
+    {
+      "entropy": 5.254744529724121,
+      "epoch": 5.998342999171499,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022999261326982985,
+      "loss": 4.7474,
+      "mean_token_accuracy": 0.20551027208566666,
+      "num_tokens": 13196989.0,
+      "step": 7240
+    },
+    {
+      "entropy": 5.215828323364258,
+      "epoch": 6.0024855012427505,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00022967956104102445,
+      "loss": 4.6371,
+      "mean_token_accuracy": 0.21983437091112137,
+      "num_tokens": 13205830.0,
+      "step": 7245
+    },
+    {
+      "entropy": 5.325025272369385,
+      "epoch": 6.006628003314002,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00022936660022849714,
+      "loss": 4.5948,
+      "mean_token_accuracy": 0.22821232080459594,
+      "num_tokens": 13214711.0,
+      "step": 7250
+    },
+    {
+      "entropy": 5.262428140640258,
+      "epoch": 6.010770505385253,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022905373146352382,
+      "loss": 4.6602,
+      "mean_token_accuracy": 0.21241429150104524,
+      "num_tokens": 13223736.0,
+      "step": 7255
+    },
+    {
+      "entropy": 5.257147979736328,
+      "epoch": 6.014913007456504,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002287409553771952,
+      "loss": 4.556,
+      "mean_token_accuracy": 0.22737590819597245,
+      "num_tokens": 13232666.0,
+      "step": 7260
+    },
+    {
+      "entropy": 5.291457891464233,
+      "epoch": 6.019055509527755,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00022842827260041455,
+      "loss": 4.5848,
+      "mean_token_accuracy": 0.21761821508407592,
+      "num_tokens": 13241770.0,
+      "step": 7265
+    },
+    {
+      "entropy": 5.261249971389771,
+      "epoch": 6.023198011599006,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00022811568376389745,
+      "loss": 4.5326,
+      "mean_token_accuracy": 0.22425681203603745,
+      "num_tokens": 13250475.0,
+      "step": 7270
+    },
+    {
+      "entropy": 5.233007001876831,
+      "epoch": 6.027340513670257,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00022780318949816963,
+      "loss": 4.5183,
+      "mean_token_accuracy": 0.22254440933465958,
+      "num_tokens": 13259587.0,
+      "step": 7275
+    },
+    {
+      "entropy": 5.216541528701782,
+      "epoch": 6.031483015741508,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00022749079043356623,
+      "loss": 4.5404,
+      "mean_token_accuracy": 0.23734405487775803,
+      "num_tokens": 13269681.0,
+      "step": 7280
+    },
+    {
+      "entropy": 5.211581516265869,
+      "epoch": 6.0356255178127585,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00022717848720023022,
+      "loss": 4.5539,
+      "mean_token_accuracy": 0.2277751386165619,
+      "num_tokens": 13278186.0,
+      "step": 7285
+    },
+    {
+      "entropy": 5.25051851272583,
+      "epoch": 6.03976801988401,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022686628042811142,
+      "loss": 4.6462,
+      "mean_token_accuracy": 0.21404165476560594,
+      "num_tokens": 13287194.0,
+      "step": 7290
+    },
+    {
+      "entropy": 5.334251356124878,
+      "epoch": 6.043910521955261,
+      "grad_norm": 1.375,
+      "learning_rate": 0.000226554170746965,
+      "loss": 4.6707,
+      "mean_token_accuracy": 0.21294027268886567,
+      "num_tokens": 13296774.0,
+      "step": 7295
+    },
+    {
+      "entropy": 5.338882112503052,
+      "epoch": 6.048053024026512,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00022624215878635023,
+      "loss": 4.5887,
+      "mean_token_accuracy": 0.21931985318660735,
+      "num_tokens": 13306368.0,
+      "step": 7300
+    },
+    {
+      "entropy": 5.310757160186768,
+      "epoch": 6.052195526097763,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00022593024517562945,
+      "loss": 4.5551,
+      "mean_token_accuracy": 0.22974174320697785,
+      "num_tokens": 13315393.0,
+      "step": 7305
+    },
+    {
+      "entropy": 5.216650152206421,
+      "epoch": 6.056338028169014,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022561843054396636,
+      "loss": 4.5496,
+      "mean_token_accuracy": 0.22554152607917785,
+      "num_tokens": 13324384.0,
+      "step": 7310
+    },
+    {
+      "entropy": 5.265720653533935,
+      "epoch": 6.060480530240265,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00022530671552032521,
+      "loss": 4.6095,
+      "mean_token_accuracy": 0.2231447860598564,
+      "num_tokens": 13333191.0,
+      "step": 7315
+    },
+    {
+      "entropy": 5.269006586074829,
+      "epoch": 6.064623032311516,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002249951007334693,
+      "loss": 4.6016,
+      "mean_token_accuracy": 0.21682012677192689,
+      "num_tokens": 13342911.0,
+      "step": 7320
+    },
+    {
+      "entropy": 5.313802003860474,
+      "epoch": 6.068765534382767,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00022468358681195966,
+      "loss": 4.5911,
+      "mean_token_accuracy": 0.2220294862985611,
+      "num_tokens": 13352464.0,
+      "step": 7325
+    },
+    {
+      "entropy": 5.279155349731445,
+      "epoch": 6.072908036454018,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00022437217438415393,
+      "loss": 4.5871,
+      "mean_token_accuracy": 0.22435862571001053,
+      "num_tokens": 13361812.0,
+      "step": 7330
+    },
+    {
+      "entropy": 5.328032398223877,
+      "epoch": 6.0770505385252696,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00022406086407820503,
+      "loss": 4.6541,
+      "mean_token_accuracy": 0.21680645495653153,
+      "num_tokens": 13372080.0,
+      "step": 7335
+    },
+    {
+      "entropy": 5.283897733688354,
+      "epoch": 6.081193040596521,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022374965652205975,
+      "loss": 4.6976,
+      "mean_token_accuracy": 0.20982298403978347,
+      "num_tokens": 13380897.0,
+      "step": 7340
+    },
+    {
+      "entropy": 5.338993167877197,
+      "epoch": 6.085335542667772,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022343855234345796,
+      "loss": 4.6891,
+      "mean_token_accuracy": 0.21388355493545533,
+      "num_tokens": 13389885.0,
+      "step": 7345
+    },
+    {
+      "entropy": 5.288727903366089,
+      "epoch": 6.089478044739022,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00022312755216993065,
+      "loss": 4.6211,
+      "mean_token_accuracy": 0.21839348524808883,
+      "num_tokens": 13399734.0,
+      "step": 7350
+    },
+    {
+      "entropy": 5.224732303619385,
+      "epoch": 6.093620546810273,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00022281665662879903,
+      "loss": 4.5653,
+      "mean_token_accuracy": 0.22080505937337874,
+      "num_tokens": 13408641.0,
+      "step": 7355
+    },
+    {
+      "entropy": 5.2608020305633545,
+      "epoch": 6.097763048881524,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00022250586634717362,
+      "loss": 4.6026,
+      "mean_token_accuracy": 0.21388103663921357,
+      "num_tokens": 13418585.0,
+      "step": 7360
+    },
+    {
+      "entropy": 5.244136095046997,
+      "epoch": 6.101905550952775,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00022219518195195216,
+      "loss": 4.5367,
+      "mean_token_accuracy": 0.22432616204023362,
+      "num_tokens": 13427897.0,
+      "step": 7365
+    },
+    {
+      "entropy": 5.131761312484741,
+      "epoch": 6.106048053024026,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00022188460406981925,
+      "loss": 4.4993,
+      "mean_token_accuracy": 0.22558098286390305,
+      "num_tokens": 13437311.0,
+      "step": 7370
+    },
+    {
+      "entropy": 5.284880685806274,
+      "epoch": 6.1101905550952775,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00022157413332724436,
+      "loss": 4.5608,
+      "mean_token_accuracy": 0.22710221409797668,
+      "num_tokens": 13446359.0,
+      "step": 7375
+    },
+    {
+      "entropy": 5.326997709274292,
+      "epoch": 6.114333057166529,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00022126377035048072,
+      "loss": 4.6056,
+      "mean_token_accuracy": 0.22011455297470092,
+      "num_tokens": 13455302.0,
+      "step": 7380
+    },
+    {
+      "entropy": 5.365768575668335,
+      "epoch": 6.11847555923778,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0002209535157655646,
+      "loss": 4.6937,
+      "mean_token_accuracy": 0.21688085198402404,
+      "num_tokens": 13466391.0,
+      "step": 7385
+    },
+    {
+      "entropy": 5.246037006378174,
+      "epoch": 6.122618061309031,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00022064337019831322,
+      "loss": 4.547,
+      "mean_token_accuracy": 0.22545033246278762,
+      "num_tokens": 13476130.0,
+      "step": 7390
+    },
+    {
+      "entropy": 5.183640670776367,
+      "epoch": 6.126760563380282,
+      "grad_norm": 1.6171875,
+      "learning_rate": 0.00022033333427432422,
+      "loss": 4.5326,
+      "mean_token_accuracy": 0.22769198417663575,
+      "num_tokens": 13485105.0,
+      "step": 7395
+    },
+    {
+      "entropy": 5.284799098968506,
+      "epoch": 6.130903065451533,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002200234086189738,
+      "loss": 4.5988,
+      "mean_token_accuracy": 0.21623703986406326,
+      "num_tokens": 13494914.0,
+      "step": 7400
+    },
+    {
+      "entropy": 5.291166830062866,
+      "epoch": 6.135045567522784,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00021971359385741608,
+      "loss": 4.6312,
+      "mean_token_accuracy": 0.21725507229566574,
+      "num_tokens": 13504293.0,
+      "step": 7405
+    },
+    {
+      "entropy": 5.350364637374878,
+      "epoch": 6.139188069594034,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00021940389061458115,
+      "loss": 4.6935,
+      "mean_token_accuracy": 0.22431259900331496,
+      "num_tokens": 13513972.0,
+      "step": 7410
+    },
+    {
+      "entropy": 5.278038835525512,
+      "epoch": 6.1433305716652855,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002190942995151743,
+      "loss": 4.6089,
+      "mean_token_accuracy": 0.2185722753405571,
+      "num_tokens": 13522508.0,
+      "step": 7415
+    },
+    {
+      "entropy": 5.296834516525268,
+      "epoch": 6.147473073736537,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0002187848211836746,
+      "loss": 4.53,
+      "mean_token_accuracy": 0.22915603816509247,
+      "num_tokens": 13531235.0,
+      "step": 7420
+    },
+    {
+      "entropy": 5.256722116470337,
+      "epoch": 6.151615575807788,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002184754562443337,
+      "loss": 4.5707,
+      "mean_token_accuracy": 0.22529171109199525,
+      "num_tokens": 13541023.0,
+      "step": 7425
+    },
+    {
+      "entropy": 5.217341756820678,
+      "epoch": 6.155758077879039,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00021816620532117448,
+      "loss": 4.5852,
+      "mean_token_accuracy": 0.2248647004365921,
+      "num_tokens": 13550622.0,
+      "step": 7430
+    },
+    {
+      "entropy": 5.230591440200806,
+      "epoch": 6.15990057995029,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002178570690379899,
+      "loss": 4.6031,
+      "mean_token_accuracy": 0.21641309708356857,
+      "num_tokens": 13559423.0,
+      "step": 7435
+    },
+    {
+      "entropy": 5.235513544082641,
+      "epoch": 6.164043082021541,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00021754804801834144,
+      "loss": 4.5917,
+      "mean_token_accuracy": 0.21699417978525162,
+      "num_tokens": 13569306.0,
+      "step": 7440
+    },
+    {
+      "entropy": 5.228752660751343,
+      "epoch": 6.168185584092792,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0002172391428855585,
+      "loss": 4.5366,
+      "mean_token_accuracy": 0.22735673934221268,
+      "num_tokens": 13578367.0,
+      "step": 7445
+    },
+    {
+      "entropy": 5.265543508529663,
+      "epoch": 6.172328086164043,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00021693035426273633,
+      "loss": 4.5986,
+      "mean_token_accuracy": 0.21967096477746964,
+      "num_tokens": 13586930.0,
+      "step": 7450
+    },
+    {
+      "entropy": 5.246473407745361,
+      "epoch": 6.176470588235294,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.00021662168277273547,
+      "loss": 4.5681,
+      "mean_token_accuracy": 0.22939085811376572,
+      "num_tokens": 13595891.0,
+      "step": 7455
+    },
+    {
+      "entropy": 5.319870328903198,
+      "epoch": 6.1806130903065455,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002163131290381799,
+      "loss": 4.6599,
+      "mean_token_accuracy": 0.20967274755239487,
+      "num_tokens": 13605786.0,
+      "step": 7460
+    },
+    {
+      "entropy": 5.238808870315552,
+      "epoch": 6.184755592377797,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00021600469368145624,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.2280669927597046,
+      "num_tokens": 13614561.0,
+      "step": 7465
+    },
+    {
+      "entropy": 5.226732301712036,
+      "epoch": 6.188898094449047,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002156963773247124,
+      "loss": 4.5554,
+      "mean_token_accuracy": 0.22617974877357483,
+      "num_tokens": 13622853.0,
+      "step": 7470
+    },
+    {
+      "entropy": 5.20526967048645,
+      "epoch": 6.193040596520298,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002153881805898561,
+      "loss": 4.5398,
+      "mean_token_accuracy": 0.22647101283073426,
+      "num_tokens": 13631709.0,
+      "step": 7475
+    },
+    {
+      "entropy": 5.293169021606445,
+      "epoch": 6.197183098591549,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.0002150801040985539,
+      "loss": 4.63,
+      "mean_token_accuracy": 0.21966254264116286,
+      "num_tokens": 13640854.0,
+      "step": 7480
+    },
+    {
+      "entropy": 5.218788433074951,
+      "epoch": 6.2013256006628,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00021477214847222958,
+      "loss": 4.5758,
+      "mean_token_accuracy": 0.21710532903671265,
+      "num_tokens": 13649318.0,
+      "step": 7485
+    },
+    {
+      "entropy": 5.315838146209717,
+      "epoch": 6.205468102734051,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00021446431433206348,
+      "loss": 4.6349,
+      "mean_token_accuracy": 0.22002605497837066,
+      "num_tokens": 13658738.0,
+      "step": 7490
+    },
+    {
+      "entropy": 5.187892484664917,
+      "epoch": 6.209610604805302,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002141566022989907,
+      "loss": 4.5484,
+      "mean_token_accuracy": 0.2262681856751442,
+      "num_tokens": 13667315.0,
+      "step": 7495
+    },
+    {
+      "entropy": 5.282585573196411,
+      "epoch": 6.2137531068765535,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002138490129936998,
+      "loss": 4.6721,
+      "mean_token_accuracy": 0.21348128467798233,
+      "num_tokens": 13676665.0,
+      "step": 7500
+    },
+    {
+      "epoch": 6.2137531068765535,
+      "eval_entropy": 5.127327098521088,
+      "eval_loss": 5.749592304229736,
+      "eval_mean_token_accuracy": 0.16626126474853772,
+      "eval_num_tokens": 13676665.0,
+      "eval_runtime": 2.7442,
+      "eval_samples_per_second": 1365.431,
+      "eval_steps_per_second": 170.907,
+      "step": 7500
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 12060,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 2.0421381338496e+16,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}
diff --git a/checkpoint-7500/training_args.bin b/checkpoint-7500/training_args.bin
new file mode 100644
index 0000000..47a7b32
--- /dev/null
+++ b/checkpoint-7500/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e406e906697be5d5c4bea7f90a038122ca162eb6b7e40512a32661ef55af9075
+size 6353
diff --git a/checkpoint-8000/added_tokens.json b/checkpoint-8000/added_tokens.json
new file mode 100644
index 0000000..b3dbcdb
--- /dev/null
+++ b/checkpoint-8000/added_tokens.json
@@ -0,0 +1,1202 @@
+{
+  "<pad>": 50002,
+  "[CLS]": 50000,
+  "[MASK]": 50003,
+  "[SEP]": 50001,
+  "[XXXXX0]": 50771,
+  "[XXXXX1000]": 50549,
+  "[XXXXX1001]": 50657,
+  "[XXXXX1002]": 51158,
+  "[XXXXX1003]": 51044,
+  "[XXXXX1004]": 50688,
+  "[XXXXX1005]": 50689,
+  "[XXXXX1006]": 50410,
+  "[XXXXX1007]": 50724,
+  "[XXXXX1008]": 50171,
+  "[XXXXX1009]": 51077,
+  "[XXXXX100]": 50091,
+  "[XXXXX1010]": 50639,
+  "[XXXXX1011]": 51094,
+  "[XXXXX1012]": 50392,
+  "[XXXXX1013]": 50626,
+  "[XXXXX1014]": 50991,
+  "[XXXXX1015]": 50529,
+  "[XXXXX1016]": 51193,
+  "[XXXXX1017]": 51073,
+  "[XXXXX1018]": 51104,
+  "[XXXXX1019]": 50775,
+  "[XXXXX101]": 50139,
+  "[XXXXX1020]": 50157,
+  "[XXXXX1021]": 50934,
+  "[XXXXX1022]": 51159,
+  "[XXXXX1023]": 50048,
+  "[XXXXX1024]": 51123,
+  "[XXXXX1025]": 50084,
+  "[XXXXX1026]": 50813,
+  "[XXXXX1027]": 50725,
+  "[XXXXX1028]": 50931,
+  "[XXXXX1029]": 50233,
+  "[XXXXX102]": 50213,
+  "[XXXXX1030]": 51023,
+  "[XXXXX1031]": 50098,
+  "[XXXXX1032]": 50802,
+  "[XXXXX1033]": 50061,
+  "[XXXXX1034]": 51139,
+  "[XXXXX1035]": 51110,
+  "[XXXXX1036]": 50204,
+  "[XXXXX1037]": 50023,
+  "[XXXXX1038]": 50142,
+  "[XXXXX1039]": 50328,
+  "[XXXXX103]": 50087,
+  "[XXXXX1040]": 50435,
+  "[XXXXX1041]": 50489,
+  "[XXXXX1042]": 50216,
+  "[XXXXX1043]": 50144,
+  "[XXXXX1044]": 50832,
+  "[XXXXX1045]": 50566,
+  "[XXXXX1046]": 50922,
+  "[XXXXX1047]": 50796,
+  "[XXXXX1048]": 50533,
+  "[XXXXX1049]": 50433,
+  "[XXXXX104]": 50478,
+  "[XXXXX1050]": 50953,
+  "[XXXXX1051]": 50497,
+  "[XXXXX1052]": 50655,
+  "[XXXXX1053]": 50881,
+  "[XXXXX1054]": 50461,
+  "[XXXXX1055]": 50052,
+  "[XXXXX1056]": 50219,
+  "[XXXXX1057]": 50789,
+  "[XXXXX1058]": 50121,
+  "[XXXXX1059]": 51002,
+  "[XXXXX105]": 51192,
+  "[XXXXX1060]": 50158,
+  "[XXXXX1061]": 50352,
+  "[XXXXX1062]": 50637,
+  "[XXXXX1063]": 50440,
+  "[XXXXX1064]": 50590,
+  "[XXXXX1065]": 51107,
+  "[XXXXX1066]": 50758,
+  "[XXXXX1067]": 51011,
+  "[XXXXX1068]": 50985,
+  "[XXXXX1069]": 51175,
+  "[XXXXX106]": 50532,
+  "[XXXXX1070]": 50790,
+  "[XXXXX1071]": 50394,
+  "[XXXXX1072]": 50852,
+  "[XXXXX1073]": 50869,
+  "[XXXXX1074]": 50126,
+  "[XXXXX1075]": 50783,
+  "[XXXXX1076]": 50806,
+  "[XXXXX1077]": 50882,
+  "[XXXXX1078]": 50726,
+  "[XXXXX1079]": 51010,
+  "[XXXXX107]": 50714,
+  "[XXXXX1080]": 50168,
+  "[XXXXX1081]": 50425,
+  "[XXXXX1082]": 50848,
+  "[XXXXX1083]": 50014,
+  "[XXXXX1084]": 50341,
+  "[XXXXX1085]": 50734,
+  "[XXXXX1086]": 50664,
+  "[XXXXX1087]": 51007,
+  "[XXXXX1088]": 51151,
+  "[XXXXX1089]": 50269,
+  "[XXXXX108]": 50996,
+  "[XXXXX1090]": 50826,
+  "[XXXXX1091]": 51105,
+  "[XXXXX1092]": 50731,
+  "[XXXXX1093]": 50856,
+  "[XXXXX1094]": 50369,
+  "[XXXXX1095]": 50065,
+  "[XXXXX1096]": 50309,
+  "[XXXXX1097]": 50838,
+  "[XXXXX1098]": 50451,
+  "[XXXXX1099]": 50384,
+  "[XXXXX109]": 50543,
+  "[XXXXX10]": 50325,
+  "[XXXXX1100]": 50318,
+  "[XXXXX1101]": 50764,
+  "[XXXXX1102]": 51025,
+  "[XXXXX1103]": 50642,
+  "[XXXXX1104]": 50665,
+  "[XXXXX1105]": 50855,
+  "[XXXXX1106]": 51063,
+  "[XXXXX1107]": 50025,
+  "[XXXXX1108]": 50122,
+  "[XXXXX1109]": 50470,
+  "[XXXXX110]": 50062,
+  "[XXXXX1110]": 51019,
+  "[XXXXX1111]": 51124,
+  "[XXXXX1112]": 50146,
+  "[XXXXX1113]": 51125,
+  "[XXXXX1114]": 50434,
+  "[XXXXX1115]": 50818,
+  "[XXXXX1116]": 50960,
+  "[XXXXX1117]": 50258,
+  "[XXXXX1118]": 50596,
+  "[XXXXX1119]": 50083,
+  "[XXXXX111]": 51064,
+  "[XXXXX1120]": 50915,
+  "[XXXXX1121]": 50835,
+  "[XXXXX1122]": 51056,
+  "[XXXXX1123]": 50172,
+  "[XXXXX1124]": 50972,
+  "[XXXXX1125]": 50275,
+  "[XXXXX1126]": 50430,
+  "[XXXXX1127]": 50743,
+  "[XXXXX1128]": 50551,
+  "[XXXXX1129]": 50439,
+  "[XXXXX112]": 50819,
+  "[XXXXX1130]": 50536,
+  "[XXXXX1131]": 50622,
+  "[XXXXX1132]": 50623,
+  "[XXXXX1133]": 50117,
+  "[XXXXX1134]": 50251,
+  "[XXXXX1135]": 50678,
+  "[XXXXX1136]": 50316,
+  "[XXXXX1137]": 50905,
+  "[XXXXX1138]": 50992,
+  "[XXXXX1139]": 50851,
+  "[XXXXX113]": 50443,
+  "[XXXXX1140]": 50499,
+  "[XXXXX1141]": 50629,
+  "[XXXXX1142]": 50944,
+  "[XXXXX1143]": 50373,
+  "[XXXXX1144]": 50123,
+  "[XXXXX1145]": 50173,
+  "[XXXXX1146]": 50891,
+  "[XXXXX1147]": 50471,
+  "[XXXXX1148]": 50560,
+  "[XXXXX1149]": 50541,
+  "[XXXXX114]": 50631,
+  "[XXXXX1150]": 50033,
+  "[XXXXX1151]": 50063,
+  "[XXXXX1152]": 50767,
+  "[XXXXX1153]": 50897,
+  "[XXXXX1154]": 50568,
+  "[XXXXX1155]": 51131,
+  "[XXXXX1156]": 50009,
+  "[XXXXX1157]": 50417,
+  "[XXXXX1158]": 50477,
+  "[XXXXX1159]": 50941,
+  "[XXXXX115]": 50294,
+  "[XXXXX1160]": 50679,
+  "[XXXXX1161]": 51108,
+  "[XXXXX1162]": 50332,
+  "[XXXXX1163]": 50424,
+  "[XXXXX1164]": 50473,
+  "[XXXXX1165]": 50793,
+  "[XXXXX1166]": 50453,
+  "[XXXXX1167]": 50807,
+  "[XXXXX1168]": 50128,
+  "[XXXXX1169]": 50039,
+  "[XXXXX116]": 50759,
+  "[XXXXX1170]": 50735,
+  "[XXXXX1171]": 50366,
+  "[XXXXX1172]": 50808,
+  "[XXXXX1173]": 50426,
+  "[XXXXX1174]": 50076,
+  "[XXXXX1175]": 50943,
+  "[XXXXX1176]": 50252,
+  "[XXXXX1177]": 50999,
+  "[XXXXX1178]": 50264,
+  "[XXXXX1179]": 50607,
+  "[XXXXX117]": 51036,
+  "[XXXXX1180]": 50986,
+  "[XXXXX1181]": 50744,
+  "[XXXXX1182]": 50186,
+  "[XXXXX1183]": 50555,
+  "[XXXXX1184]": 51076,
+  "[XXXXX1185]": 50849,
+  "[XXXXX1186]": 51128,
+  "[XXXXX1187]": 50858,
+  "[XXXXX1188]": 50656,
+  "[XXXXX1189]": 50064,
+  "[XXXXX118]": 50081,
+  "[XXXXX1190]": 51197,
+  "[XXXXX1191]": 50104,
+  "[XXXXX1192]": 50045,
+  "[XXXXX1193]": 50404,
+  "[XXXXX1194]": 50690,
+  "[XXXXX1195]": 50495,
+  "[XXXXX119]": 50108,
+  "[XXXXX11]": 50976,
+  "[XXXXX120]": 51081,
+  "[XXXXX121]": 50464,
+  "[XXXXX122]": 50829,
+  "[XXXXX123]": 50766,
+  "[XXXXX124]": 50732,
+  "[XXXXX125]": 50221,
+  "[XXXXX126]": 50810,
+  "[XXXXX127]": 50130,
+  "[XXXXX128]": 50751,
+  "[XXXXX129]": 50662,
+  "[XXXXX12]": 50602,
+  "[XXXXX130]": 50035,
+  "[XXXXX131]": 50715,
+  "[XXXXX132]": 50340,
+  "[XXXXX133]": 50563,
+  "[XXXXX134]": 50993,
+  "[XXXXX135]": 50304,
+  "[XXXXX136]": 50131,
+  "[XXXXX137]": 50578,
+  "[XXXXX138]": 50757,
+  "[XXXXX139]": 50582,
+  "[XXXXX13]": 50105,
+  "[XXXXX140]": 50085,
+  "[XXXXX141]": 50553,
+  "[XXXXX142]": 50749,
+  "[XXXXX143]": 50351,
+  "[XXXXX144]": 51024,
+  "[XXXXX145]": 51144,
+  "[XXXXX146]": 50042,
+  "[XXXXX147]": 50145,
+  "[XXXXX148]": 50066,
+  "[XXXXX149]": 50876,
+  "[XXXXX14]": 51006,
+  "[XXXXX150]": 50280,
+  "[XXXXX151]": 50093,
+  "[XXXXX152]": 50638,
+  "[XXXXX153]": 50684,
+  "[XXXXX154]": 50820,
+  "[XXXXX155]": 51196,
+  "[XXXXX156]": 50317,
+  "[XXXXX157]": 50284,
+  "[XXXXX158]": 50288,
+  "[XXXXX159]": 50814,
+  "[XXXXX15]": 50608,
+  "[XXXXX160]": 50004,
+  "[XXXXX161]": 50008,
+  "[XXXXX162]": 50377,
+  "[XXXXX163]": 50214,
+  "[XXXXX164]": 50708,
+  "[XXXXX165]": 50390,
+  "[XXXXX166]": 50741,
+  "[XXXXX167]": 50445,
+  "[XXXXX168]": 50936,
+  "[XXXXX169]": 50896,
+  "[XXXXX16]": 50442,
+  "[XXXXX170]": 50109,
+  "[XXXXX171]": 50140,
+  "[XXXXX172]": 50427,
+  "[XXXXX173]": 51074,
+  "[XXXXX174]": 50162,
+  "[XXXXX175]": 51015,
+  "[XXXXX176]": 50524,
+  "[XXXXX177]": 50673,
+  "[XXXXX178]": 50054,
+  "[XXXXX179]": 50805,
+  "[XXXXX17]": 50482,
+  "[XXXXX180]": 50253,
+  "[XXXXX181]": 50493,
+  "[XXXXX182]": 50421,
+  "[XXXXX183]": 51050,
+  "[XXXXX184]": 50521,
+  "[XXXXX185]": 50188,
+  "[XXXXX186]": 50147,
+  "[XXXXX187]": 50201,
+  "[XXXXX188]": 50973,
+  "[XXXXX189]": 50409,
+  "[XXXXX18]": 50115,
+  "[XXXXX190]": 50051,
+  "[XXXXX191]": 51020,
+  "[XXXXX192]": 51047,
+  "[XXXXX193]": 50669,
+  "[XXXXX194]": 50643,
+  "[XXXXX195]": 50159,
+  "[XXXXX196]": 50649,
+  "[XXXXX197]": 51178,
+  "[XXXXX198]": 50043,
+  "[XXXXX199]": 51147,
+  "[XXXXX19]": 51127,
+  "[XXXXX1]": 51114,
+  "[XXXXX200]": 50840,
+  "[XXXXX201]": 50365,
+  "[XXXXX202]": 50232,
+  "[XXXXX203]": 50241,
+  "[XXXXX204]": 50548,
+  "[XXXXX205]": 50781,
+  "[XXXXX206]": 50923,
+  "[XXXXX207]": 51115,
+  "[XXXXX208]": 50344,
+  "[XXXXX209]": 50299,
+  "[XXXXX20]": 51031,
+  "[XXXXX210]": 51179,
+  "[XXXXX211]": 51163,
+  "[XXXXX212]": 50562,
+  "[XXXXX213]": 50094,
+  "[XXXXX214]": 50257,
+  "[XXXXX215]": 50967,
+  "[XXXXX216]": 50523,
+  "[XXXXX217]": 51132,
+  "[XXXXX218]": 51146,
+  "[XXXXX219]": 50411,
+  "[XXXXX21]": 50354,
+  "[XXXXX220]": 50853,
+  "[XXXXX221]": 50886,
+  "[XXXXX222]": 50600,
+  "[XXXXX223]": 50873,
+  "[XXXXX224]": 50416,
+  "[XXXXX225]": 50675,
+  "[XXXXX226]": 50583,
+  "[XXXXX227]": 50151,
+  "[XXXXX228]": 50927,
+  "[XXXXX229]": 50609,
+  "[XXXXX22]": 50589,
+  "[XXXXX230]": 50238,
+  "[XXXXX231]": 50242,
+  "[XXXXX232]": 51016,
+  "[XXXXX233]": 50406,
+  "[XXXXX234]": 50908,
+  "[XXXXX235]": 50024,
+  "[XXXXX236]": 50270,
+  "[XXXXX237]": 50132,
+  "[XXXXX238]": 50800,
+  "[XXXXX239]": 50236,
+  "[XXXXX23]": 50007,
+  "[XXXXX240]": 50005,
+  "[XXXXX241]": 50894,
+  "[XXXXX242]": 50694,
+  "[XXXXX243]": 51071,
+  "[XXXXX244]": 51017,
+  "[XXXXX245]": 50068,
+  "[XXXXX246]": 50682,
+  "[XXXXX247]": 50913,
+  "[XXXXX248]": 51028,
+  "[XXXXX249]": 50037,
+  "[XXXXX24]": 51169,
+  "[XXXXX250]": 50747,
+  "[XXXXX251]": 50947,
+  "[XXXXX252]": 50329,
+  "[XXXXX253]": 50612,
+  "[XXXXX254]": 50110,
+  "[XXXXX255]": 50824,
+  "[XXXXX256]": 50558,
+  "[XXXXX257]": 50969,
+  "[XXXXX258]": 50729,
+  "[XXXXX259]": 50125,
+  "[XXXXX25]": 51160,
+  "[XXXXX260]": 50040,
+  "[XXXXX261]": 51038,
+  "[XXXXX262]": 50347,
+  "[XXXXX263]": 50740,
+  "[XXXXX264]": 51195,
+  "[XXXXX265]": 50879,
+  "[XXXXX266]": 50770,
+  "[XXXXX267]": 50178,
+  "[XXXXX268]": 50804,
+  "[XXXXX269]": 50906,
+  "[XXXXX26]": 50150,
+  "[XXXXX270]": 51191,
+  "[XXXXX271]": 50047,
+  "[XXXXX272]": 50195,
+  "[XXXXX273]": 50554,
+  "[XXXXX274]": 50833,
+  "[XXXXX275]": 50346,
+  "[XXXXX276]": 50950,
+  "[XXXXX277]": 50864,
+  "[XXXXX278]": 50259,
+  "[XXXXX279]": 50671,
+  "[XXXXX27]": 50468,
+  "[XXXXX280]": 50082,
+  "[XXXXX281]": 50565,
+  "[XXXXX282]": 50984,
+  "[XXXXX283]": 50650,
+  "[XXXXX284]": 50975,
+  "[XXXXX285]": 50603,
+  "[XXXXX286]": 50027,
+  "[XXXXX287]": 50181,
+  "[XXXXX288]": 50981,
+  "[XXXXX289]": 50885,
+  "[XXXXX28]": 50249,
+  "[XXXXX290]": 50522,
+  "[XXXXX291]": 50050,
+  "[XXXXX292]": 50313,
+  "[XXXXX293]": 50503,
+  "[XXXXX294]": 51176,
+  "[XXXXX295]": 51177,
+  "[XXXXX296]": 50379,
+  "[XXXXX297]": 50635,
+  "[XXXXX298]": 50723,
+  "[XXXXX299]": 50200,
+  "[XXXXX29]": 50892,
+  "[XXXXX2]": 51119,
+  "[XXXXX300]": 51026,
+  "[XXXXX301]": 50528,
+  "[XXXXX302]": 51149,
+  "[XXXXX303]": 50044,
+  "[XXXXX304]": 50209,
+  "[XXXXX305]": 50988,
+  "[XXXXX306]": 50518,
+  "[XXXXX307]": 50088,
+  "[XXXXX308]": 50733,
+  "[XXXXX309]": 51066,
+  "[XXXXX30]": 50506,
+  "[XXXXX310]": 50285,
+  "[XXXXX311]": 50859,
+  "[XXXXX312]": 50263,
+  "[XXXXX313]": 50594,
+  "[XXXXX314]": 51103,
+  "[XXXXX315]": 50871,
+  "[XXXXX316]": 50300,
+  "[XXXXX317]": 50760,
+  "[XXXXX318]": 50055,
+  "[XXXXX319]": 50389,
+  "[XXXXX31]": 50212,
+  "[XXXXX320]": 50444,
+  "[XXXXX321]": 50994,
+  "[XXXXX322]": 50281,
+  "[XXXXX323]": 50179,
+  "[XXXXX324]": 50455,
+  "[XXXXX325]": 50970,
+  "[XXXXX326]": 50666,
+  "[XXXXX327]": 50604,
+  "[XXXXX328]": 50627,
+  "[XXXXX329]": 50475,
+  "[XXXXX32]": 50277,
+  "[XXXXX330]": 50667,
+  "[XXXXX331]": 50348,
+  "[XXXXX332]": 50772,
+  "[XXXXX333]": 50163,
+  "[XXXXX334]": 50569,
+  "[XXXXX335]": 50018,
+  "[XXXXX336]": 50883,
+  "[XXXXX337]": 50067,
+  "[XXXXX338]": 51184,
+  "[XXXXX339]": 50997,
+  "[XXXXX33]": 50403,
+  "[XXXXX340]": 51013,
+  "[XXXXX341]": 50957,
+  "[XXXXX342]": 51106,
+  "[XXXXX343]": 51174,
+  "[XXXXX344]": 50391,
+  "[XXXXX345]": 50948,
+  "[XXXXX346]": 50180,
+  "[XXXXX347]": 50811,
+  "[XXXXX348]": 50401,
+  "[XXXXX349]": 50911,
+  "[XXXXX34]": 50223,
+  "[XXXXX350]": 51089,
+  "[XXXXX351]": 50777,
+  "[XXXXX352]": 50189,
+  "[XXXXX353]": 50492,
+  "[XXXXX354]": 50205,
+  "[XXXXX355]": 50374,
+  "[XXXXX356]": 51152,
+  "[XXXXX357]": 50695,
+  "[XXXXX358]": 51117,
+  "[XXXXX359]": 50573,
+  "[XXXXX35]": 50752,
+  "[XXXXX360]": 50955,
+  "[XXXXX361]": 50349,
+  "[XXXXX362]": 51137,
+  "[XXXXX363]": 50641,
+  "[XXXXX364]": 51148,
+  "[XXXXX365]": 50255,
+  "[XXXXX366]": 50310,
+  "[XXXXX367]": 50314,
+  "[XXXXX368]": 50971,
+  "[XXXXX369]": 50916,
+  "[XXXXX36]": 50437,
+  "[XXXXX370]": 51096,
+  "[XXXXX371]": 50557,
+  "[XXXXX372]": 51095,
+  "[XXXXX373]": 50382,
+  "[XXXXX374]": 50119,
+  "[XXXXX375]": 50958,
+  "[XXXXX376]": 50624,
+  "[XXXXX377]": 50483,
+  "[XXXXX378]": 50605,
+  "[XXXXX379]": 50017,
+  "[XXXXX37]": 50706,
+  "[XXXXX380]": 50246,
+  "[XXXXX381]": 50588,
+  "[XXXXX382]": 51008,
+  "[XXXXX383]": 50801,
+  "[XXXXX384]": 50290,
+  "[XXXXX385]": 50899,
+  "[XXXXX386]": 50206,
+  "[XXXXX387]": 50716,
+  "[XXXXX388]": 51082,
+  "[XXXXX389]": 50177,
+  "[XXXXX38]": 50736,
+  "[XXXXX390]": 50282,
+  "[XXXXX391]": 51183,
+  "[XXXXX392]": 50286,
+  "[XXXXX393]": 50659,
+  "[XXXXX394]": 50378,
+  "[XXXXX395]": 50709,
+  "[XXXXX396]": 50028,
+  "[XXXXX397]": 50235,
+  "[XXXXX398]": 51014,
+  "[XXXXX399]": 50880,
+  "[XXXXX39]": 50305,
+  "[XXXXX3]": 50077,
+  "[XXXXX400]": 50155,
+  "[XXXXX401]": 50710,
+  "[XXXXX402]": 50507,
+  "[XXXXX403]": 50860,
+  "[XXXXX404]": 50661,
+  "[XXXXX405]": 51083,
+  "[XXXXX406]": 50888,
+  "[XXXXX407]": 50069,
+  "[XXXXX408]": 50691,
+  "[XXXXX409]": 51055,
+  "[XXXXX40]": 50337,
+  "[XXXXX410]": 50137,
+  "[XXXXX411]": 50791,
+  "[XXXXX412]": 50136,
+  "[XXXXX413]": 50730,
+  "[XXXXX414]": 50267,
+  "[XXXXX415]": 50012,
+  "[XXXXX416]": 50681,
+  "[XXXXX417]": 50942,
+  "[XXXXX418]": 50720,
+  "[XXXXX419]": 50844,
+  "[XXXXX41]": 50387,
+  "[XXXXX420]": 50111,
+  "[XXXXX421]": 51003,
+  "[XXXXX422]": 50785,
+  "[XXXXX423]": 50149,
+  "[XXXXX424]": 50422,
+  "[XXXXX425]": 51086,
+  "[XXXXX426]": 50862,
+  "[XXXXX427]": 50576,
+  "[XXXXX428]": 51049,
+  "[XXXXX429]": 50630,
+  "[XXXXX42]": 50799,
+  "[XXXXX430]": 50289,
+  "[XXXXX431]": 50184,
+  "[XXXXX432]": 50319,
+  "[XXXXX433]": 51116,
+  "[XXXXX434]": 50519,
+  "[XXXXX435]": 50496,
+  "[XXXXX436]": 50517,
+  "[XXXXX437]": 50865,
+  "[XXXXX438]": 50737,
+  "[XXXXX439]": 50356,
+  "[XXXXX43]": 50359,
+  "[XXXXX440]": 50898,
+  "[XXXXX441]": 50113,
+  "[XXXXX442]": 50527,
+  "[XXXXX443]": 50762,
+  "[XXXXX444]": 50540,
+  "[XXXXX445]": 50925,
+  "[XXXXX446]": 50711,
+  "[XXXXX447]": 50143,
+  "[XXXXX448]": 51170,
+  "[XXXXX449]": 50413,
+  "[XXXXX44]": 50097,
+  "[XXXXX450]": 50375,
+  "[XXXXX451]": 50846,
+  "[XXXXX452]": 50217,
+  "[XXXXX453]": 50699,
+  "[XXXXX454]": 50412,
+  "[XXXXX455]": 50418,
+  "[XXXXX456]": 51143,
+  "[XXXXX457]": 51141,
+  "[XXXXX458]": 51157,
+  "[XXXXX459]": 50825,
+  "[XXXXX45]": 50203,
+  "[XXXXX460]": 50194,
+  "[XXXXX461]": 50148,
+  "[XXXXX462]": 50276,
+  "[XXXXX463]": 50271,
+  "[XXXXX464]": 50836,
+  "[XXXXX465]": 50854,
+  "[XXXXX466]": 50164,
+  "[XXXXX467]": 50484,
+  "[XXXXX468]": 51097,
+  "[XXXXX469]": 50182,
+  "[XXXXX46]": 50505,
+  "[XXXXX470]": 50670,
+  "[XXXXX471]": 50595,
+  "[XXXXX472]": 50237,
+  "[XXXXX473]": 50057,
+  "[XXXXX474]": 50431,
+  "[XXXXX475]": 50738,
+  "[XXXXX476]": 51145,
+  "[XXXXX477]": 50247,
+  "[XXXXX478]": 50029,
+  "[XXXXX479]": 50917,
+  "[XXXXX47]": 50579,
+  "[XXXXX480]": 50702,
+  "[XXXXX481]": 50831,
+  "[XXXXX482]": 50753,
+  "[XXXXX483]": 50598,
+  "[XXXXX484]": 51136,
+  "[XXXXX485]": 50092,
+  "[XXXXX486]": 50202,
+  "[XXXXX487]": 50106,
+  "[XXXXX488]": 50924,
+  "[XXXXX489]": 51113,
+  "[XXXXX48]": 50842,
+  "[XXXXX490]": 50761,
+  "[XXXXX491]": 50577,
+  "[XXXXX492]": 50692,
+  "[XXXXX493]": 51130,
+  "[XXXXX494]": 50932,
+  "[XXXXX495]": 50837,
+  "[XXXXX496]": 50893,
+  "[XXXXX497]": 50773,
+  "[XXXXX498]": 50360,
+  "[XXXXX499]": 50900,
+  "[XXXXX49]": 51062,
+  "[XXXXX4]": 50396,
+  "[XXXXX500]": 51034,
+  "[XXXXX501]": 50472,
+  "[XXXXX502]": 50660,
+  "[XXXXX503]": 50815,
+  "[XXXXX504]": 50939,
+  "[XXXXX505]": 50419,
+  "[XXXXX506]": 50324,
+  "[XXXXX507]": 50428,
+  "[XXXXX508]": 50274,
+  "[XXXXX509]": 50311,
+  "[XXXXX50]": 50459,
+  "[XXXXX510]": 50674,
+  "[XXXXX511]": 50580,
+  "[XXXXX512]": 50956,
+  "[XXXXX513]": 50165,
+  "[XXXXX514]": 50320,
+  "[XXXXX515]": 50648,
+  "[XXXXX516]": 50386,
+  "[XXXXX517]": 50058,
+  "[XXXXX518]": 51045,
+  "[XXXXX519]": 50103,
+  "[XXXXX51]": 50979,
+  "[XXXXX520]": 50530,
+  "[XXXXX521]": 50907,
+  "[XXXXX522]": 50260,
+  "[XXXXX523]": 50632,
+  "[XXXXX524]": 50926,
+  "[XXXXX525]": 50687,
+  "[XXXXX526]": 50160,
+  "[XXXXX527]": 51053,
+  "[XXXXX528]": 50652,
+  "[XXXXX529]": 51041,
+  "[XXXXX52]": 50272,
+  "[XXXXX530]": 51111,
+  "[XXXXX531]": 51009,
+  "[XXXXX532]": 51079,
+  "[XXXXX533]": 50487,
+  "[XXXXX534]": 51059,
+  "[XXXXX535]": 50335,
+  "[XXXXX536]": 50380,
+  "[XXXXX537]": 50301,
+  "[XXXXX538]": 51067,
+  "[XXXXX539]": 51052,
+  "[XXXXX53]": 51048,
+  "[XXXXX540]": 50822,
+  "[XXXXX541]": 51040,
+  "[XXXXX542]": 50490,
+  "[XXXXX543]": 50448,
+  "[XXXXX544]": 50812,
+  "[XXXXX545]": 50099,
+  "[XXXXX546]": 51199,
+  "[XXXXX547]": 50226,
+  "[XXXXX548]": 50538,
+  "[XXXXX549]": 50342,
+  "[XXXXX54]": 50701,
+  "[XXXXX550]": 50544,
+  "[XXXXX551]": 50398,
+  "[XXXXX552]": 51102,
+  "[XXXXX553]": 50919,
+  "[XXXXX554]": 50615,
+  "[XXXXX555]": 50769,
+  "[XXXXX556]": 50940,
+  "[XXXXX557]": 50070,
+  "[XXXXX558]": 50680,
+  "[XXXXX559]": 50611,
+  "[XXXXX55]": 50574,
+  "[XXXXX560]": 50381,
+  "[XXXXX561]": 50350,
+  "[XXXXX562]": 50175,
+  "[XXXXX563]": 50584,
+  "[XXXXX564]": 50703,
+  "[XXXXX565]": 50989,
+  "[XXXXX566]": 50877,
+  "[XXXXX567]": 51039,
+  "[XXXXX568]": 51018,
+  "[XXXXX569]": 50452,
+  "[XXXXX56]": 51099,
+  "[XXXXX570]": 50161,
+  "[XXXXX571]": 50921,
+  "[XXXXX572]": 50676,
+  "[XXXXX573]": 50326,
+  "[XXXXX574]": 50987,
+  "[XXXXX575]": 50361,
+  "[XXXXX576]": 50071,
+  "[XXXXX577]": 50803,
+  "[XXXXX578]": 50400,
+  "[XXXXX579]": 51091,
+  "[XXXXX57]": 50501,
+  "[XXXXX580]": 50887,
+  "[XXXXX581]": 50839,
+  "[XXXXX582]": 51138,
+  "[XXXXX583]": 50816,
+  "[XXXXX584]": 50339,
+  "[XXXXX585]": 50463,
+  "[XXXXX586]": 50399,
+  "[XXXXX587]": 51070,
+  "[XXXXX588]": 50457,
+  "[XXXXX589]": 50828,
+  "[XXXXX58]": 50183,
+  "[XXXXX590]": 50080,
+  "[XXXXX591]": 50550,
+  "[XXXXX592]": 50129,
+  "[XXXXX593]": 50273,
+  "[XXXXX594]": 50388,
+  "[XXXXX595]": 50491,
+  "[XXXXX596]": 50278,
+  "[XXXXX597]": 50011,
+  "[XXXXX598]": 50254,
+  "[XXXXX599]": 50302,
+  "[XXXXX59]": 50353,
+  "[XXXXX5]": 50010,
+  "[XXXXX600]": 50704,
+  "[XXXXX601]": 51118,
+  "[XXXXX602]": 50049,
+  "[XXXXX603]": 51190,
+  "[XXXXX604]": 51142,
+  "[XXXXX605]": 50707,
+  "[XXXXX606]": 50937,
+  "[XXXXX607]": 50875,
+  "[XXXXX608]": 50564,
+  "[XXXXX609]": 50345,
+  "[XXXXX60]": 50713,
+  "[XXXXX610]": 50949,
+  "[XXXXX611]": 50978,
+  "[XXXXX612]": 50330,
+  "[XXXXX613]": 51035,
+  "[XXXXX614]": 50402,
+  "[XXXXX615]": 50176,
+  "[XXXXX616]": 51133,
+  "[XXXXX617]": 50222,
+  "[XXXXX618]": 50118,
+  "[XXXXX619]": 50196,
+  "[XXXXX61]": 50298,
+  "[XXXXX620]": 50668,
+  "[XXXXX621]": 50462,
+  "[XXXXX622]": 50218,
+  "[XXXXX623]": 51101,
+  "[XXXXX624]": 50362,
+  "[XXXXX625]": 50779,
+  "[XXXXX626]": 50513,
+  "[XXXXX627]": 50746,
+  "[XXXXX628]": 50141,
+  "[XXXXX629]": 50479,
+  "[XXXXX62]": 50056,
+  "[XXXXX630]": 51180,
+  "[XXXXX631]": 50872,
+  "[XXXXX632]": 50315,
+  "[XXXXX633]": 50397,
+  "[XXXXX634]": 51165,
+  "[XXXXX635]": 50046,
+  "[XXXXX636]": 50795,
+  "[XXXXX637]": 50959,
+  "[XXXXX638]": 50786,
+  "[XXXXX639]": 50240,
+  "[XXXXX63]": 51061,
+  "[XXXXX640]": 50601,
+  "[XXXXX641]": 50904,
+  "[XXXXX642]": 50376,
+  "[XXXXX643]": 50663,
+  "[XXXXX644]": 50613,
+  "[XXXXX645]": 50467,
+  "[XXXXX646]": 50546,
+  "[XXXXX647]": 50465,
+  "[XXXXX648]": 50395,
+  "[XXXXX649]": 50287,
+  "[XXXXX64]": 51162,
+  "[XXXXX650]": 50474,
+  "[XXXXX651]": 50727,
+  "[XXXXX652]": 50243,
+  "[XXXXX653]": 51100,
+  "[XXXXX654]": 50705,
+  "[XXXXX655]": 51012,
+  "[XXXXX656]": 50447,
+  "[XXXXX657]": 50719,
+  "[XXXXX658]": 50712,
+  "[XXXXX659]": 50476,
+  "[XXXXX65]": 50587,
+  "[XXXXX660]": 51054,
+  "[XXXXX661]": 51166,
+  "[XXXXX662]": 50494,
+  "[XXXXX663]": 50230,
+  "[XXXXX664]": 50621,
+  "[XXXXX665]": 50809,
+  "[XXXXX666]": 50265,
+  "[XXXXX667]": 50645,
+  "[XXXXX668]": 50817,
+  "[XXXXX669]": 50030,
+  "[XXXXX66]": 51029,
+  "[XXXXX670]": 51004,
+  "[XXXXX671]": 50685,
+  "[XXXXX672]": 50625,
+  "[XXXXX673]": 50890,
+  "[XXXXX674]": 50383,
+  "[XXXXX675]": 50929,
+  "[XXXXX676]": 50116,
+  "[XXXXX677]": 51072,
+  "[XXXXX678]": 51126,
+  "[XXXXX679]": 50755,
+  "[XXXXX67]": 50717,
+  "[XXXXX680]": 50303,
+  "[XXXXX681]": 50504,
+  "[XXXXX682]": 51075,
+  "[XXXXX683]": 50261,
+  "[XXXXX684]": 50861,
+  "[XXXXX685]": 50306,
+  "[XXXXX686]": 50016,
+  "[XXXXX687]": 50101,
+  "[XXXXX688]": 51098,
+  "[XXXXX689]": 50827,
+  "[XXXXX68]": 50863,
+  "[XXXXX690]": 50640,
+  "[XXXXX691]": 50031,
+  "[XXXXX692]": 50768,
+  "[XXXXX693]": 50013,
+  "[XXXXX694]": 51032,
+  "[XXXXX695]": 50166,
+  "[XXXXX696]": 50127,
+  "[XXXXX697]": 50414,
+  "[XXXXX698]": 50742,
+  "[XXXXX699]": 51042,
+  "[XXXXX69]": 51112,
+  "[XXXXX6]": 50593,
+  "[XXXXX700]": 50292,
+  "[XXXXX701]": 50174,
+  "[XXXXX702]": 50547,
+  "[XXXXX703]": 50498,
+  "[XXXXX704]": 51078,
+  "[XXXXX705]": 50133,
+  "[XXXXX706]": 50041,
+  "[XXXXX707]": 51181,
+  "[XXXXX708]": 50585,
+  "[XXXXX709]": 50776,
+  "[XXXXX70]": 50053,
+  "[XXXXX710]": 50336,
+  "[XXXXX711]": 50765,
+  "[XXXXX712]": 50224,
+  "[XXXXX713]": 50599,
+  "[XXXXX714]": 50207,
+  "[XXXXX715]": 51043,
+  "[XXXXX716]": 51090,
+  "[XXXXX717]": 50006,
+  "[XXXXX718]": 50901,
+  "[XXXXX719]": 51001,
+  "[XXXXX71]": 50954,
+  "[XXXXX720]": 50646,
+  "[XXXXX721]": 50075,
+  "[XXXXX722]": 51120,
+  "[XXXXX723]": 50215,
+  "[XXXXX724]": 50415,
+  "[XXXXX725]": 50154,
+  "[XXXXX726]": 50935,
+  "[XXXXX727]": 50545,
+  "[XXXXX728]": 51085,
+  "[XXXXX729]": 50256,
+  "[XXXXX72]": 50363,
+  "[XXXXX730]": 50700,
+  "[XXXXX731]": 50262,
+  "[XXXXX732]": 50930,
+  "[XXXXX733]": 50333,
+  "[XXXXX734]": 50884,
+  "[XXXXX735]": 51030,
+  "[XXXXX736]": 50231,
+  "[XXXXX737]": 50405,
+  "[XXXXX738]": 50962,
+  "[XXXXX739]": 50458,
+  "[XXXXX73]": 50019,
+  "[XXXXX740]": 50878,
+  "[XXXXX741]": 50910,
+  "[XXXXX742]": 50170,
+  "[XXXXX743]": 50718,
+  "[XXXXX744]": 50616,
+  "[XXXXX745]": 50358,
+  "[XXXXX746]": 50152,
+  "[XXXXX747]": 50525,
+  "[XXXXX748]": 51167,
+  "[XXXXX749]": 50653,
+  "[XXXXX74]": 50952,
+  "[XXXXX750]": 50500,
+  "[XXXXX751]": 50446,
+  "[XXXXX752]": 50995,
+  "[XXXXX753]": 50945,
+  "[XXXXX754]": 51173,
+  "[XXXXX755]": 50823,
+  "[XXXXX756]": 51060,
+  "[XXXXX757]": 50748,
+  "[XXXXX758]": 50020,
+  "[XXXXX759]": 50197,
+  "[XXXXX75]": 50502,
+  "[XXXXX760]": 50291,
+  "[XXXXX761]": 50821,
+  "[XXXXX762]": 50190,
+  "[XXXXX763]": 50745,
+  "[XXXXX764]": 50778,
+  "[XXXXX765]": 50556,
+  "[XXXXX766]": 51161,
+  "[XXXXX767]": 50466,
+  "[XXXXX768]": 50792,
+  "[XXXXX769]": 50208,
+  "[XXXXX76]": 50169,
+  "[XXXXX770]": 50647,
+  "[XXXXX771]": 50610,
+  "[XXXXX772]": 51140,
+  "[XXXXX773]": 50441,
+  "[XXXXX774]": 50870,
+  "[XXXXX775]": 50368,
+  "[XXXXX776]": 50026,
+  "[XXXXX777]": 50677,
+  "[XXXXX778]": 51168,
+  "[XXXXX779]": 50481,
+  "[XXXXX77]": 50515,
+  "[XXXXX780]": 50225,
+  "[XXXXX781]": 50408,
+  "[XXXXX782]": 50090,
+  "[XXXXX783]": 50951,
+  "[XXXXX784]": 50015,
+  "[XXXXX785]": 50658,
+  "[XXXXX786]": 50617,
+  "[XXXXX787]": 50721,
+  "[XXXXX788]": 51084,
+  "[XXXXX789]": 50830,
+  "[XXXXX78]": 50100,
+  "[XXXXX790]": 50606,
+  "[XXXXX791]": 50124,
+  "[XXXXX792]": 50078,
+  "[XXXXX793]": 51188,
+  "[XXXXX794]": 50750,
+  "[XXXXX795]": 50138,
+  "[XXXXX796]": 50239,
+  "[XXXXX797]": 50385,
+  "[XXXXX798]": 50780,
+  "[XXXXX799]": 50683,
+  "[XXXXX79]": 50436,
+  "[XXXXX7]": 50211,
+  "[XXXXX800]": 51185,
+  "[XXXXX801]": 50250,
+  "[XXXXX802]": 50456,
+  "[XXXXX803]": 50508,
+  "[XXXXX804]": 51194,
+  "[XXXXX805]": 50021,
+  "[XXXXX806]": 50307,
+  "[XXXXX807]": 50199,
+  "[XXXXX808]": 51129,
+  "[XXXXX809]": 50686,
+  "[XXXXX80]": 50370,
+  "[XXXXX810]": 50343,
+  "[XXXXX811]": 50614,
+  "[XXXXX812]": 50636,
+  "[XXXXX813]": 51198,
+  "[XXXXX814]": 50788,
+  "[XXXXX815]": 50120,
+  "[XXXXX816]": 50135,
+  "[XXXXX817]": 50293,
+  "[XXXXX818]": 50153,
+  "[XXXXX819]": 50516,
+  "[XXXXX81]": 50581,
+  "[XXXXX820]": 50586,
+  "[XXXXX821]": 50509,
+  "[XXXXX822]": 50220,
+  "[XXXXX823]": 51068,
+  "[XXXXX824]": 50946,
+  "[XXXXX825]": 50965,
+  "[XXXXX826]": 50032,
+  "[XXXXX827]": 50156,
+  "[XXXXX828]": 50449,
+  "[XXXXX829]": 50531,
+  "[XXXXX82]": 51164,
+  "[XXXXX830]": 50486,
+  "[XXXXX831]": 50357,
+  "[XXXXX832]": 51022,
+  "[XXXXX833]": 50633,
+  "[XXXXX834]": 50754,
+  "[XXXXX835]": 51134,
+  "[XXXXX836]": 50193,
+  "[XXXXX837]": 51088,
+  "[XXXXX838]": 50722,
+  "[XXXXX839]": 50756,
+  "[XXXXX83]": 50977,
+  "[XXXXX840]": 50022,
+  "[XXXXX841]": 51186,
+  "[XXXXX842]": 50575,
+  "[XXXXX843]": 50079,
+  "[XXXXX844]": 50644,
+  "[XXXXX845]": 51033,
+  "[XXXXX846]": 50454,
+  "[XXXXX847]": 50095,
+  "[XXXXX848]": 50902,
+  "[XXXXX849]": 50597,
+  "[XXXXX84]": 50167,
+  "[XXXXX850]": 51051,
+  "[XXXXX851]": 50696,
+  "[XXXXX852]": 50966,
+  "[XXXXX853]": 50034,
+  "[XXXXX854]": 50889,
+  "[XXXXX855]": 50843,
+  "[XXXXX856]": 50963,
+  "[XXXXX857]": 50227,
+  "[XXXXX858]": 51058,
+  "[XXXXX859]": 50850,
+  "[XXXXX85]": 50192,
+  "[XXXXX860]": 50228,
+  "[XXXXX861]": 50570,
+  "[XXXXX862]": 50488,
+  "[XXXXX863]": 50539,
+  "[XXXXX864]": 51182,
+  "[XXXXX865]": 50990,
+  "[XXXXX866]": 50542,
+  "[XXXXX867]": 51069,
+  "[XXXXX868]": 50480,
+  "[XXXXX869]": 50847,
+  "[XXXXX86]": 50874,
+  "[XXXXX870]": 50308,
+  "[XXXXX871]": 50510,
+  "[XXXXX872]": 50423,
+  "[XXXXX873]": 50086,
+  "[XXXXX874]": 50591,
+  "[XXXXX875]": 50728,
+  "[XXXXX876]": 50372,
+  "[XXXXX877]": 50903,
+  "[XXXXX878]": 50868,
+  "[XXXXX879]": 50763,
+  "[XXXXX87]": 50571,
+  "[XXXXX880]": 50096,
+  "[XXXXX881]": 51150,
+  "[XXXXX882]": 50460,
+  "[XXXXX883]": 51087,
+  "[XXXXX884]": 51093,
+  "[XXXXX885]": 50295,
+  "[XXXXX886]": 51037,
+  "[XXXXX887]": 51171,
+  "[XXXXX888]": 50794,
+  "[XXXXX889]": 50628,
+  "[XXXXX88]": 50520,
+  "[XXXXX890]": 51172,
+  "[XXXXX891]": 51046,
+  "[XXXXX892]": 50918,
+  "[XXXXX893]": 50998,
+  "[XXXXX894]": 50371,
+  "[XXXXX895]": 51155,
+  "[XXXXX896]": 50866,
+  "[XXXXX897]": 50229,
+  "[XXXXX898]": 51057,
+  "[XXXXX899]": 50867,
+  "[XXXXX89]": 50537,
+  "[XXXXX8]": 50784,
+  "[XXXXX900]": 50739,
+  "[XXXXX901]": 51080,
+  "[XXXXX902]": 50038,
+  "[XXXXX903]": 50321,
+  "[XXXXX904]": 50774,
+  "[XXXXX905]": 50974,
+  "[XXXXX906]": 50920,
+  "[XXXXX907]": 50469,
+  "[XXXXX908]": 51122,
+  "[XXXXX909]": 51092,
+  "[XXXXX90]": 50514,
+  "[XXXXX910]": 50798,
+  "[XXXXX911]": 50245,
+  "[XXXXX912]": 50367,
+  "[XXXXX913]": 50618,
+  "[XXXXX914]": 50072,
+  "[XXXXX915]": 50450,
+  "[XXXXX916]": 51189,
+  "[XXXXX917]": 50485,
+  "[XXXXX918]": 50283,
+  "[XXXXX919]": 50845,
+  "[XXXXX91]": 50968,
+  "[XXXXX920]": 50429,
+  "[XXXXX921]": 50364,
+  "[XXXXX922]": 50782,
+  "[XXXXX923]": 50534,
+  "[XXXXX924]": 50059,
+  "[XXXXX925]": 50102,
+  "[XXXXX926]": 50185,
+  "[XXXXX927]": 50634,
+  "[XXXXX928]": 50567,
+  "[XXXXX929]": 50895,
+  "[XXXXX92]": 50210,
+  "[XXXXX930]": 50561,
+  "[XXXXX931]": 51021,
+  "[XXXXX932]": 50107,
+  "[XXXXX933]": 50407,
+  "[XXXXX934]": 50654,
+  "[XXXXX935]": 50268,
+  "[XXXXX936]": 51153,
+  "[XXXXX937]": 50552,
+  "[XXXXX938]": 50526,
+  "[XXXXX939]": 50322,
+  "[XXXXX93]": 50912,
+  "[XXXXX940]": 50296,
+  "[XXXXX941]": 50572,
+  "[XXXXX942]": 50393,
+  "[XXXXX943]": 50312,
+  "[XXXXX944]": 50592,
+  "[XXXXX945]": 50982,
+  "[XXXXX946]": 50089,
+  "[XXXXX947]": 50331,
+  "[XXXXX948]": 50279,
+  "[XXXXX949]": 51005,
+  "[XXXXX94]": 50198,
+  "[XXXXX950]": 50114,
+  "[XXXXX951]": 50074,
+  "[XXXXX952]": 50248,
+  "[XXXXX953]": 50857,
+  "[XXXXX954]": 50841,
+  "[XXXXX955]": 51065,
+  "[XXXXX956]": 50234,
+  "[XXXXX957]": 50834,
+  "[XXXXX958]": 50535,
+  "[XXXXX959]": 51109,
+  "[XXXXX95]": 50651,
+  "[XXXXX960]": 50797,
+  "[XXXXX961]": 50914,
+  "[XXXXX962]": 50112,
+  "[XXXXX963]": 50073,
+  "[XXXXX964]": 50559,
+  "[XXXXX965]": 50933,
+  "[XXXXX966]": 50619,
+  "[XXXXX967]": 51187,
+  "[XXXXX968]": 50327,
+  "[XXXXX969]": 50698,
+  "[XXXXX96]": 50420,
+  "[XXXXX970]": 50060,
+  "[XXXXX971]": 50432,
+  "[XXXXX972]": 50620,
+  "[XXXXX973]": 50693,
+  "[XXXXX974]": 50938,
+  "[XXXXX975]": 50983,
+  "[XXXXX976]": 50334,
+  "[XXXXX977]": 50438,
+  "[XXXXX978]": 51154,
+  "[XXXXX979]": 50964,
+  "[XXXXX97]": 50672,
+  "[XXXXX980]": 50511,
+  "[XXXXX981]": 50244,
+  "[XXXXX982]": 50266,
+  "[XXXXX983]": 50134,
+  "[XXXXX984]": 50338,
+  "[XXXXX985]": 51121,
+  "[XXXXX986]": 50323,
+  "[XXXXX987]": 50909,
+  "[XXXXX988]": 51000,
+  "[XXXXX989]": 50036,
+  "[XXXXX98]": 50787,
+  "[XXXXX990]": 50512,
+  "[XXXXX991]": 50191,
+  "[XXXXX992]": 50187,
+  "[XXXXX993]": 51156,
+  "[XXXXX994]": 51135,
+  "[XXXXX995]": 50355,
+  "[XXXXX996]": 51027,
+  "[XXXXX997]": 50297,
+  "[XXXXX998]": 50928,
+  "[XXXXX999]": 50697,
+  "[XXXXX99]": 50980,
+  "[XXXXX9]": 50961
+}
diff --git a/checkpoint-8000/config.json b/checkpoint-8000/config.json
new file mode 100644
index 0000000..000c292
--- /dev/null
+++ b/checkpoint-8000/config.json
@@ -0,0 +1,34 @@
+{
+  "activation_function": "gelu",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50000,
+  "dtype": "bfloat16",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50001,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 512,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": 3072,
+  "n_layer": 12,
+  "n_positions": 512,
+  "pad_token_id": 50002,
+  "prefix": "[CLS]",
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "vocab_size": 51200
+}
diff --git a/checkpoint-8000/generation_config.json b/checkpoint-8000/generation_config.json
new file mode 100644
index 0000000..4c122f0
--- /dev/null
+++ b/checkpoint-8000/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50000,
+  "eos_token_id": [
+    50001
+  ],
+  "pad_token_id": 50002,
+  "transformers_version": "4.56.2"
+}
diff --git a/checkpoint-8000/model.safetensors b/checkpoint-8000/model.safetensors
new file mode 100644
index 0000000..21d4178
--- /dev/null
+++ b/checkpoint-8000/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:27d96b9fd47c381a09633a24db4e15c4d94166b411b791b13da83c0a55ab77f6
+size 249556672
diff --git a/checkpoint-8000/rng_state.pth b/checkpoint-8000/rng_state.pth
new file mode 100644
index 0000000..4169d05
--- /dev/null
+++ b/checkpoint-8000/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2d39c083d39ec5a1dbb65af4c060835538e12042570cfa334dec2aa2d0ad0077
+size 14645
diff --git a/checkpoint-8000/special_tokens_map.json b/checkpoint-8000/special_tokens_map.json
new file mode 100644
index 0000000..c78a835
--- /dev/null
+++ b/checkpoint-8000/special_tokens_map.json
@@ -0,0 +1,1249 @@
+{
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/checkpoint-8000/spiece.model b/checkpoint-8000/spiece.model
new file mode 100644
index 0000000..85d6e93
--- /dev/null
+++ b/checkpoint-8000/spiece.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:762a1e078899c6ba7ef62ef873a57b860c51cc0518791854659b58b4c89742fe
+size 1170764
diff --git a/checkpoint-8000/tokenizer_config.json b/checkpoint-8000/tokenizer_config.json
new file mode 100644
index 0000000..b27d01f
--- /dev/null
+++ b/checkpoint-8000/tokenizer_config.json
@@ -0,0 +1,10825 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50000": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50001": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50002": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50003": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50004": {
+      "content": "[XXXXX160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50005": {
+      "content": "[XXXXX240]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50006": {
+      "content": "[XXXXX717]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50007": {
+      "content": "[XXXXX23]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50008": {
+      "content": "[XXXXX161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50009": {
+      "content": "[XXXXX1156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50010": {
+      "content": "[XXXXX5]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50011": {
+      "content": "[XXXXX597]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50012": {
+      "content": "[XXXXX415]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50013": {
+      "content": "[XXXXX693]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50014": {
+      "content": "[XXXXX1083]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50015": {
+      "content": "[XXXXX784]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50016": {
+      "content": "[XXXXX686]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50017": {
+      "content": "[XXXXX379]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50018": {
+      "content": "[XXXXX335]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50019": {
+      "content": "[XXXXX73]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50020": {
+      "content": "[XXXXX758]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50021": {
+      "content": "[XXXXX805]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50022": {
+      "content": "[XXXXX840]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50023": {
+      "content": "[XXXXX1037]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50024": {
+      "content": "[XXXXX235]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50025": {
+      "content": "[XXXXX1107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50026": {
+      "content": "[XXXXX776]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50027": {
+      "content": "[XXXXX286]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50028": {
+      "content": "[XXXXX396]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50029": {
+      "content": "[XXXXX478]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50030": {
+      "content": "[XXXXX669]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50031": {
+      "content": "[XXXXX691]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50032": {
+      "content": "[XXXXX826]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50033": {
+      "content": "[XXXXX1150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50034": {
+      "content": "[XXXXX853]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50035": {
+      "content": "[XXXXX130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50036": {
+      "content": "[XXXXX989]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50037": {
+      "content": "[XXXXX249]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50038": {
+      "content": "[XXXXX902]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50039": {
+      "content": "[XXXXX1169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50040": {
+      "content": "[XXXXX260]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50041": {
+      "content": "[XXXXX706]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50042": {
+      "content": "[XXXXX146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50043": {
+      "content": "[XXXXX198]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50044": {
+      "content": "[XXXXX303]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50045": {
+      "content": "[XXXXX1192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50046": {
+      "content": "[XXXXX635]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50047": {
+      "content": "[XXXXX271]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50048": {
+      "content": "[XXXXX1023]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50049": {
+      "content": "[XXXXX602]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50050": {
+      "content": "[XXXXX291]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50051": {
+      "content": "[XXXXX190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50052": {
+      "content": "[XXXXX1055]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50053": {
+      "content": "[XXXXX70]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50054": {
+      "content": "[XXXXX178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50055": {
+      "content": "[XXXXX318]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50056": {
+      "content": "[XXXXX62]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50057": {
+      "content": "[XXXXX473]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50058": {
+      "content": "[XXXXX517]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50059": {
+      "content": "[XXXXX924]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50060": {
+      "content": "[XXXXX970]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50061": {
+      "content": "[XXXXX1033]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50062": {
+      "content": "[XXXXX110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50063": {
+      "content": "[XXXXX1151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50064": {
+      "content": "[XXXXX1189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50065": {
+      "content": "[XXXXX1095]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50066": {
+      "content": "[XXXXX148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50067": {
+      "content": "[XXXXX337]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50068": {
+      "content": "[XXXXX245]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50069": {
+      "content": "[XXXXX407]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50070": {
+      "content": "[XXXXX557]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50071": {
+      "content": "[XXXXX576]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50072": {
+      "content": "[XXXXX914]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50073": {
+      "content": "[XXXXX963]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50074": {
+      "content": "[XXXXX951]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50075": {
+      "content": "[XXXXX721]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50076": {
+      "content": "[XXXXX1174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50077": {
+      "content": "[XXXXX3]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50078": {
+      "content": "[XXXXX792]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50079": {
+      "content": "[XXXXX843]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50080": {
+      "content": "[XXXXX590]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50081": {
+      "content": "[XXXXX118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50082": {
+      "content": "[XXXXX280]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50083": {
+      "content": "[XXXXX1119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50084": {
+      "content": "[XXXXX1025]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50085": {
+      "content": "[XXXXX140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50086": {
+      "content": "[XXXXX873]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50087": {
+      "content": "[XXXXX103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50088": {
+      "content": "[XXXXX307]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50089": {
+      "content": "[XXXXX946]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50090": {
+      "content": "[XXXXX782]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50091": {
+      "content": "[XXXXX100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50092": {
+      "content": "[XXXXX485]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50093": {
+      "content": "[XXXXX151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50094": {
+      "content": "[XXXXX213]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50095": {
+      "content": "[XXXXX847]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50096": {
+      "content": "[XXXXX880]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50097": {
+      "content": "[XXXXX44]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50098": {
+      "content": "[XXXXX1031]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50099": {
+      "content": "[XXXXX545]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50100": {
+      "content": "[XXXXX78]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50101": {
+      "content": "[XXXXX687]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50102": {
+      "content": "[XXXXX925]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50103": {
+      "content": "[XXXXX519]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50104": {
+      "content": "[XXXXX1191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50105": {
+      "content": "[XXXXX13]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50106": {
+      "content": "[XXXXX487]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50107": {
+      "content": "[XXXXX932]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50108": {
+      "content": "[XXXXX119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50109": {
+      "content": "[XXXXX170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50110": {
+      "content": "[XXXXX254]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50111": {
+      "content": "[XXXXX420]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50112": {
+      "content": "[XXXXX962]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50113": {
+      "content": "[XXXXX441]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50114": {
+      "content": "[XXXXX950]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50115": {
+      "content": "[XXXXX18]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50116": {
+      "content": "[XXXXX676]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50117": {
+      "content": "[XXXXX1133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50118": {
+      "content": "[XXXXX618]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50119": {
+      "content": "[XXXXX374]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50120": {
+      "content": "[XXXXX815]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50121": {
+      "content": "[XXXXX1058]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50122": {
+      "content": "[XXXXX1108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50123": {
+      "content": "[XXXXX1144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50124": {
+      "content": "[XXXXX791]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50125": {
+      "content": "[XXXXX259]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50126": {
+      "content": "[XXXXX1074]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50127": {
+      "content": "[XXXXX696]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50128": {
+      "content": "[XXXXX1168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50129": {
+      "content": "[XXXXX592]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50130": {
+      "content": "[XXXXX127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50131": {
+      "content": "[XXXXX136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50132": {
+      "content": "[XXXXX237]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50133": {
+      "content": "[XXXXX705]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50134": {
+      "content": "[XXXXX983]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50135": {
+      "content": "[XXXXX816]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50136": {
+      "content": "[XXXXX412]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50137": {
+      "content": "[XXXXX410]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50138": {
+      "content": "[XXXXX795]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50139": {
+      "content": "[XXXXX101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50140": {
+      "content": "[XXXXX171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50141": {
+      "content": "[XXXXX628]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50142": {
+      "content": "[XXXXX1038]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50143": {
+      "content": "[XXXXX447]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50144": {
+      "content": "[XXXXX1043]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50145": {
+      "content": "[XXXXX147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50146": {
+      "content": "[XXXXX1112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50147": {
+      "content": "[XXXXX186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50148": {
+      "content": "[XXXXX461]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50149": {
+      "content": "[XXXXX423]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50150": {
+      "content": "[XXXXX26]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50151": {
+      "content": "[XXXXX227]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50152": {
+      "content": "[XXXXX746]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50153": {
+      "content": "[XXXXX818]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50154": {
+      "content": "[XXXXX725]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50155": {
+      "content": "[XXXXX400]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50156": {
+      "content": "[XXXXX827]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50157": {
+      "content": "[XXXXX1020]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50158": {
+      "content": "[XXXXX1060]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50159": {
+      "content": "[XXXXX195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50160": {
+      "content": "[XXXXX526]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50161": {
+      "content": "[XXXXX570]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50162": {
+      "content": "[XXXXX174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50163": {
+      "content": "[XXXXX333]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50164": {
+      "content": "[XXXXX466]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50165": {
+      "content": "[XXXXX513]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50166": {
+      "content": "[XXXXX695]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50167": {
+      "content": "[XXXXX84]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50168": {
+      "content": "[XXXXX1080]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50169": {
+      "content": "[XXXXX76]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50170": {
+      "content": "[XXXXX742]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50171": {
+      "content": "[XXXXX1008]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50172": {
+      "content": "[XXXXX1123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50173": {
+      "content": "[XXXXX1145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50174": {
+      "content": "[XXXXX701]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50175": {
+      "content": "[XXXXX562]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50176": {
+      "content": "[XXXXX615]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50177": {
+      "content": "[XXXXX389]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50178": {
+      "content": "[XXXXX267]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50179": {
+      "content": "[XXXXX323]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50180": {
+      "content": "[XXXXX346]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50181": {
+      "content": "[XXXXX287]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50182": {
+      "content": "[XXXXX469]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50183": {
+      "content": "[XXXXX58]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50184": {
+      "content": "[XXXXX431]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50185": {
+      "content": "[XXXXX926]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50186": {
+      "content": "[XXXXX1182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50187": {
+      "content": "[XXXXX992]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50188": {
+      "content": "[XXXXX185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50189": {
+      "content": "[XXXXX352]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50190": {
+      "content": "[XXXXX762]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50191": {
+      "content": "[XXXXX991]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50192": {
+      "content": "[XXXXX85]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50193": {
+      "content": "[XXXXX836]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50194": {
+      "content": "[XXXXX460]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50195": {
+      "content": "[XXXXX272]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50196": {
+      "content": "[XXXXX619]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50197": {
+      "content": "[XXXXX759]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50198": {
+      "content": "[XXXXX94]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50199": {
+      "content": "[XXXXX807]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50200": {
+      "content": "[XXXXX299]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50201": {
+      "content": "[XXXXX187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50202": {
+      "content": "[XXXXX486]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50203": {
+      "content": "[XXXXX45]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50204": {
+      "content": "[XXXXX1036]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50205": {
+      "content": "[XXXXX354]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50206": {
+      "content": "[XXXXX386]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50207": {
+      "content": "[XXXXX714]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50208": {
+      "content": "[XXXXX769]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50209": {
+      "content": "[XXXXX304]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50210": {
+      "content": "[XXXXX92]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50211": {
+      "content": "[XXXXX7]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50212": {
+      "content": "[XXXXX31]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50213": {
+      "content": "[XXXXX102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50214": {
+      "content": "[XXXXX163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50215": {
+      "content": "[XXXXX723]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50216": {
+      "content": "[XXXXX1042]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50217": {
+      "content": "[XXXXX452]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50218": {
+      "content": "[XXXXX622]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50219": {
+      "content": "[XXXXX1056]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50220": {
+      "content": "[XXXXX822]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50221": {
+      "content": "[XXXXX125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50222": {
+      "content": "[XXXXX617]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50223": {
+      "content": "[XXXXX34]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50224": {
+      "content": "[XXXXX712]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50225": {
+      "content": "[XXXXX780]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50226": {
+      "content": "[XXXXX547]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50227": {
+      "content": "[XXXXX857]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50228": {
+      "content": "[XXXXX860]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50229": {
+      "content": "[XXXXX897]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50230": {
+      "content": "[XXXXX663]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50231": {
+      "content": "[XXXXX736]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50232": {
+      "content": "[XXXXX202]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50233": {
+      "content": "[XXXXX1029]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50234": {
+      "content": "[XXXXX956]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50235": {
+      "content": "[XXXXX397]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50236": {
+      "content": "[XXXXX239]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50237": {
+      "content": "[XXXXX472]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50238": {
+      "content": "[XXXXX230]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50239": {
+      "content": "[XXXXX796]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50240": {
+      "content": "[XXXXX639]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50241": {
+      "content": "[XXXXX203]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50242": {
+      "content": "[XXXXX231]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50243": {
+      "content": "[XXXXX652]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50244": {
+      "content": "[XXXXX981]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50245": {
+      "content": "[XXXXX911]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50246": {
+      "content": "[XXXXX380]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50247": {
+      "content": "[XXXXX477]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50248": {
+      "content": "[XXXXX952]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50249": {
+      "content": "[XXXXX28]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50250": {
+      "content": "[XXXXX801]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50251": {
+      "content": "[XXXXX1134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50252": {
+      "content": "[XXXXX1176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50253": {
+      "content": "[XXXXX180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50254": {
+      "content": "[XXXXX598]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50255": {
+      "content": "[XXXXX365]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50256": {
+      "content": "[XXXXX729]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50257": {
+      "content": "[XXXXX214]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50258": {
+      "content": "[XXXXX1117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50259": {
+      "content": "[XXXXX278]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50260": {
+      "content": "[XXXXX522]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50261": {
+      "content": "[XXXXX683]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50262": {
+      "content": "[XXXXX731]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50263": {
+      "content": "[XXXXX312]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "[XXXXX1178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50265": {
+      "content": "[XXXXX666]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50266": {
+      "content": "[XXXXX982]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50267": {
+      "content": "[XXXXX414]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50268": {
+      "content": "[XXXXX935]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50269": {
+      "content": "[XXXXX1089]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50270": {
+      "content": "[XXXXX236]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50271": {
+      "content": "[XXXXX463]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50272": {
+      "content": "[XXXXX52]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50273": {
+      "content": "[XXXXX593]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50274": {
+      "content": "[XXXXX508]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50275": {
+      "content": "[XXXXX1125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50276": {
+      "content": "[XXXXX462]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50277": {
+      "content": "[XXXXX32]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50278": {
+      "content": "[XXXXX596]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50279": {
+      "content": "[XXXXX948]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50280": {
+      "content": "[XXXXX150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50281": {
+      "content": "[XXXXX322]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50282": {
+      "content": "[XXXXX390]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50283": {
+      "content": "[XXXXX918]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50284": {
+      "content": "[XXXXX157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50285": {
+      "content": "[XXXXX310]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50286": {
+      "content": "[XXXXX392]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50287": {
+      "content": "[XXXXX649]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50288": {
+      "content": "[XXXXX158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50289": {
+      "content": "[XXXXX430]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50290": {
+      "content": "[XXXXX384]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50291": {
+      "content": "[XXXXX760]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50292": {
+      "content": "[XXXXX700]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50293": {
+      "content": "[XXXXX817]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50294": {
+      "content": "[XXXXX115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50295": {
+      "content": "[XXXXX885]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50296": {
+      "content": "[XXXXX940]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50297": {
+      "content": "[XXXXX997]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50298": {
+      "content": "[XXXXX61]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50299": {
+      "content": "[XXXXX209]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50300": {
+      "content": "[XXXXX316]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50301": {
+      "content": "[XXXXX537]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50302": {
+      "content": "[XXXXX599]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50303": {
+      "content": "[XXXXX680]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50304": {
+      "content": "[XXXXX135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50305": {
+      "content": "[XXXXX39]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50306": {
+      "content": "[XXXXX685]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50307": {
+      "content": "[XXXXX806]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50308": {
+      "content": "[XXXXX870]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50309": {
+      "content": "[XXXXX1096]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50310": {
+      "content": "[XXXXX366]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50311": {
+      "content": "[XXXXX509]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50312": {
+      "content": "[XXXXX943]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50313": {
+      "content": "[XXXXX292]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50314": {
+      "content": "[XXXXX367]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50315": {
+      "content": "[XXXXX632]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50316": {
+      "content": "[XXXXX1136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50317": {
+      "content": "[XXXXX156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50318": {
+      "content": "[XXXXX1100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50319": {
+      "content": "[XXXXX432]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50320": {
+      "content": "[XXXXX514]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50321": {
+      "content": "[XXXXX903]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50322": {
+      "content": "[XXXXX939]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50323": {
+      "content": "[XXXXX986]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50324": {
+      "content": "[XXXXX506]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50325": {
+      "content": "[XXXXX10]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50326": {
+      "content": "[XXXXX573]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50327": {
+      "content": "[XXXXX968]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50328": {
+      "content": "[XXXXX1039]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50329": {
+      "content": "[XXXXX252]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50330": {
+      "content": "[XXXXX612]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50331": {
+      "content": "[XXXXX947]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50332": {
+      "content": "[XXXXX1162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50333": {
+      "content": "[XXXXX733]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50334": {
+      "content": "[XXXXX976]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50335": {
+      "content": "[XXXXX535]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50336": {
+      "content": "[XXXXX710]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50337": {
+      "content": "[XXXXX40]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50338": {
+      "content": "[XXXXX984]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50339": {
+      "content": "[XXXXX584]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50340": {
+      "content": "[XXXXX132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50341": {
+      "content": "[XXXXX1084]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50342": {
+      "content": "[XXXXX549]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50343": {
+      "content": "[XXXXX810]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50344": {
+      "content": "[XXXXX208]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50345": {
+      "content": "[XXXXX609]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50346": {
+      "content": "[XXXXX275]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50347": {
+      "content": "[XXXXX262]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50348": {
+      "content": "[XXXXX331]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50349": {
+      "content": "[XXXXX361]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50350": {
+      "content": "[XXXXX561]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50351": {
+      "content": "[XXXXX143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50352": {
+      "content": "[XXXXX1061]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50353": {
+      "content": "[XXXXX59]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50354": {
+      "content": "[XXXXX21]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50355": {
+      "content": "[XXXXX995]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50356": {
+      "content": "[XXXXX439]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50357": {
+      "content": "[XXXXX831]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50358": {
+      "content": "[XXXXX745]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50359": {
+      "content": "[XXXXX43]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50360": {
+      "content": "[XXXXX498]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50361": {
+      "content": "[XXXXX575]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50362": {
+      "content": "[XXXXX624]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50363": {
+      "content": "[XXXXX72]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50364": {
+      "content": "[XXXXX921]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50365": {
+      "content": "[XXXXX201]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50366": {
+      "content": "[XXXXX1171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50367": {
+      "content": "[XXXXX912]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50368": {
+      "content": "[XXXXX775]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50369": {
+      "content": "[XXXXX1094]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50370": {
+      "content": "[XXXXX80]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50371": {
+      "content": "[XXXXX894]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50372": {
+      "content": "[XXXXX876]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50373": {
+      "content": "[XXXXX1143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50374": {
+      "content": "[XXXXX355]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50375": {
+      "content": "[XXXXX450]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50376": {
+      "content": "[XXXXX642]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50377": {
+      "content": "[XXXXX162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50378": {
+      "content": "[XXXXX394]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50379": {
+      "content": "[XXXXX296]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50380": {
+      "content": "[XXXXX536]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50381": {
+      "content": "[XXXXX560]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50382": {
+      "content": "[XXXXX373]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50383": {
+      "content": "[XXXXX674]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50384": {
+      "content": "[XXXXX1099]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50385": {
+      "content": "[XXXXX797]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50386": {
+      "content": "[XXXXX516]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50387": {
+      "content": "[XXXXX41]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50388": {
+      "content": "[XXXXX594]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50389": {
+      "content": "[XXXXX319]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50390": {
+      "content": "[XXXXX165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50391": {
+      "content": "[XXXXX344]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50392": {
+      "content": "[XXXXX1012]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50393": {
+      "content": "[XXXXX942]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50394": {
+      "content": "[XXXXX1071]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50395": {
+      "content": "[XXXXX648]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50396": {
+      "content": "[XXXXX4]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50397": {
+      "content": "[XXXXX633]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50398": {
+      "content": "[XXXXX551]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50399": {
+      "content": "[XXXXX586]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50400": {
+      "content": "[XXXXX578]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50401": {
+      "content": "[XXXXX348]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50402": {
+      "content": "[XXXXX614]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50403": {
+      "content": "[XXXXX33]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50404": {
+      "content": "[XXXXX1193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50405": {
+      "content": "[XXXXX737]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50406": {
+      "content": "[XXXXX233]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50407": {
+      "content": "[XXXXX933]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50408": {
+      "content": "[XXXXX781]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50409": {
+      "content": "[XXXXX189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50410": {
+      "content": "[XXXXX1006]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50411": {
+      "content": "[XXXXX219]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50412": {
+      "content": "[XXXXX454]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50413": {
+      "content": "[XXXXX449]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50414": {
+      "content": "[XXXXX697]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50415": {
+      "content": "[XXXXX724]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50416": {
+      "content": "[XXXXX224]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50417": {
+      "content": "[XXXXX1157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50418": {
+      "content": "[XXXXX455]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50419": {
+      "content": "[XXXXX505]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50420": {
+      "content": "[XXXXX96]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50421": {
+      "content": "[XXXXX182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50422": {
+      "content": "[XXXXX424]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50423": {
+      "content": "[XXXXX872]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50424": {
+      "content": "[XXXXX1163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50425": {
+      "content": "[XXXXX1081]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50426": {
+      "content": "[XXXXX1173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50427": {
+      "content": "[XXXXX172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50428": {
+      "content": "[XXXXX507]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50429": {
+      "content": "[XXXXX920]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50430": {
+      "content": "[XXXXX1126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50431": {
+      "content": "[XXXXX474]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50432": {
+      "content": "[XXXXX971]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50433": {
+      "content": "[XXXXX1049]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50434": {
+      "content": "[XXXXX1114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50435": {
+      "content": "[XXXXX1040]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50436": {
+      "content": "[XXXXX79]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50437": {
+      "content": "[XXXXX36]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50438": {
+      "content": "[XXXXX977]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50439": {
+      "content": "[XXXXX1129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50440": {
+      "content": "[XXXXX1063]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50441": {
+      "content": "[XXXXX773]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50442": {
+      "content": "[XXXXX16]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50443": {
+      "content": "[XXXXX113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50444": {
+      "content": "[XXXXX320]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50445": {
+      "content": "[XXXXX167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50446": {
+      "content": "[XXXXX751]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50447": {
+      "content": "[XXXXX656]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50448": {
+      "content": "[XXXXX543]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50449": {
+      "content": "[XXXXX828]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50450": {
+      "content": "[XXXXX915]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50451": {
+      "content": "[XXXXX1098]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50452": {
+      "content": "[XXXXX569]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50453": {
+      "content": "[XXXXX1166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50454": {
+      "content": "[XXXXX846]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50455": {
+      "content": "[XXXXX324]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50456": {
+      "content": "[XXXXX802]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50457": {
+      "content": "[XXXXX588]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50458": {
+      "content": "[XXXXX739]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50459": {
+      "content": "[XXXXX50]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50460": {
+      "content": "[XXXXX882]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50461": {
+      "content": "[XXXXX1054]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50462": {
+      "content": "[XXXXX621]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50463": {
+      "content": "[XXXXX585]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50464": {
+      "content": "[XXXXX121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50465": {
+      "content": "[XXXXX647]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50466": {
+      "content": "[XXXXX767]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50467": {
+      "content": "[XXXXX645]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50468": {
+      "content": "[XXXXX27]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50469": {
+      "content": "[XXXXX907]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50470": {
+      "content": "[XXXXX1109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50471": {
+      "content": "[XXXXX1147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50472": {
+      "content": "[XXXXX501]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50473": {
+      "content": "[XXXXX1164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50474": {
+      "content": "[XXXXX650]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50475": {
+      "content": "[XXXXX329]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50476": {
+      "content": "[XXXXX659]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50477": {
+      "content": "[XXXXX1158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50478": {
+      "content": "[XXXXX104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50479": {
+      "content": "[XXXXX629]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50480": {
+      "content": "[XXXXX868]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50481": {
+      "content": "[XXXXX779]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50482": {
+      "content": "[XXXXX17]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50483": {
+      "content": "[XXXXX377]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50484": {
+      "content": "[XXXXX467]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50485": {
+      "content": "[XXXXX917]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50486": {
+      "content": "[XXXXX830]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50487": {
+      "content": "[XXXXX533]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50488": {
+      "content": "[XXXXX862]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50489": {
+      "content": "[XXXXX1041]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50490": {
+      "content": "[XXXXX542]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50491": {
+      "content": "[XXXXX595]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50492": {
+      "content": "[XXXXX353]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50493": {
+      "content": "[XXXXX181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50494": {
+      "content": "[XXXXX662]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50495": {
+      "content": "[XXXXX1195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50496": {
+      "content": "[XXXXX435]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50497": {
+      "content": "[XXXXX1051]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50498": {
+      "content": "[XXXXX703]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50499": {
+      "content": "[XXXXX1140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50500": {
+      "content": "[XXXXX750]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50501": {
+      "content": "[XXXXX57]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50502": {
+      "content": "[XXXXX75]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50503": {
+      "content": "[XXXXX293]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50504": {
+      "content": "[XXXXX681]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50505": {
+      "content": "[XXXXX46]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50506": {
+      "content": "[XXXXX30]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50507": {
+      "content": "[XXXXX402]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50508": {
+      "content": "[XXXXX803]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50509": {
+      "content": "[XXXXX821]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50510": {
+      "content": "[XXXXX871]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50511": {
+      "content": "[XXXXX980]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50512": {
+      "content": "[XXXXX990]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50513": {
+      "content": "[XXXXX626]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50514": {
+      "content": "[XXXXX90]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50515": {
+      "content": "[XXXXX77]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50516": {
+      "content": "[XXXXX819]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50517": {
+      "content": "[XXXXX436]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50518": {
+      "content": "[XXXXX306]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50519": {
+      "content": "[XXXXX434]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50520": {
+      "content": "[XXXXX88]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50521": {
+      "content": "[XXXXX184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50522": {
+      "content": "[XXXXX290]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50523": {
+      "content": "[XXXXX216]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50524": {
+      "content": "[XXXXX176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50525": {
+      "content": "[XXXXX747]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50526": {
+      "content": "[XXXXX938]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50527": {
+      "content": "[XXXXX442]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50528": {
+      "content": "[XXXXX301]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50529": {
+      "content": "[XXXXX1015]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50530": {
+      "content": "[XXXXX520]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50531": {
+      "content": "[XXXXX829]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50532": {
+      "content": "[XXXXX106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50533": {
+      "content": "[XXXXX1048]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50534": {
+      "content": "[XXXXX923]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50535": {
+      "content": "[XXXXX958]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50536": {
+      "content": "[XXXXX1130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50537": {
+      "content": "[XXXXX89]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50538": {
+      "content": "[XXXXX548]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50539": {
+      "content": "[XXXXX863]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50540": {
+      "content": "[XXXXX444]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50541": {
+      "content": "[XXXXX1149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50542": {
+      "content": "[XXXXX866]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50543": {
+      "content": "[XXXXX109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50544": {
+      "content": "[XXXXX550]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50545": {
+      "content": "[XXXXX727]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50546": {
+      "content": "[XXXXX646]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50547": {
+      "content": "[XXXXX702]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50548": {
+      "content": "[XXXXX204]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50549": {
+      "content": "[XXXXX1000]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50550": {
+      "content": "[XXXXX591]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50551": {
+      "content": "[XXXXX1128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50552": {
+      "content": "[XXXXX937]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50553": {
+      "content": "[XXXXX141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50554": {
+      "content": "[XXXXX273]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50555": {
+      "content": "[XXXXX1183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50556": {
+      "content": "[XXXXX765]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50557": {
+      "content": "[XXXXX371]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50558": {
+      "content": "[XXXXX256]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50559": {
+      "content": "[XXXXX964]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50560": {
+      "content": "[XXXXX1148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50561": {
+      "content": "[XXXXX930]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50562": {
+      "content": "[XXXXX212]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50563": {
+      "content": "[XXXXX133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50564": {
+      "content": "[XXXXX608]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50565": {
+      "content": "[XXXXX281]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50566": {
+      "content": "[XXXXX1045]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50567": {
+      "content": "[XXXXX928]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50568": {
+      "content": "[XXXXX1154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50569": {
+      "content": "[XXXXX334]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50570": {
+      "content": "[XXXXX861]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50571": {
+      "content": "[XXXXX87]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50572": {
+      "content": "[XXXXX941]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50573": {
+      "content": "[XXXXX359]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50574": {
+      "content": "[XXXXX55]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50575": {
+      "content": "[XXXXX842]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50576": {
+      "content": "[XXXXX427]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50577": {
+      "content": "[XXXXX491]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50578": {
+      "content": "[XXXXX137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50579": {
+      "content": "[XXXXX47]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50580": {
+      "content": "[XXXXX511]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50581": {
+      "content": "[XXXXX81]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50582": {
+      "content": "[XXXXX139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50583": {
+      "content": "[XXXXX226]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50584": {
+      "content": "[XXXXX563]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50585": {
+      "content": "[XXXXX708]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50586": {
+      "content": "[XXXXX820]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50587": {
+      "content": "[XXXXX65]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50588": {
+      "content": "[XXXXX381]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50589": {
+      "content": "[XXXXX22]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50590": {
+      "content": "[XXXXX1064]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50591": {
+      "content": "[XXXXX874]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50592": {
+      "content": "[XXXXX944]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50593": {
+      "content": "[XXXXX6]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50594": {
+      "content": "[XXXXX313]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50595": {
+      "content": "[XXXXX471]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50596": {
+      "content": "[XXXXX1118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50597": {
+      "content": "[XXXXX849]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50598": {
+      "content": "[XXXXX483]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50599": {
+      "content": "[XXXXX713]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50600": {
+      "content": "[XXXXX222]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50601": {
+      "content": "[XXXXX640]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50602": {
+      "content": "[XXXXX12]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50603": {
+      "content": "[XXXXX285]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50604": {
+      "content": "[XXXXX327]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50605": {
+      "content": "[XXXXX378]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50606": {
+      "content": "[XXXXX790]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50607": {
+      "content": "[XXXXX1179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50608": {
+      "content": "[XXXXX15]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50609": {
+      "content": "[XXXXX229]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50610": {
+      "content": "[XXXXX771]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50611": {
+      "content": "[XXXXX559]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50612": {
+      "content": "[XXXXX253]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50613": {
+      "content": "[XXXXX644]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50614": {
+      "content": "[XXXXX811]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50615": {
+      "content": "[XXXXX554]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50616": {
+      "content": "[XXXXX744]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50617": {
+      "content": "[XXXXX786]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50618": {
+      "content": "[XXXXX913]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50619": {
+      "content": "[XXXXX966]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50620": {
+      "content": "[XXXXX972]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50621": {
+      "content": "[XXXXX664]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50622": {
+      "content": "[XXXXX1131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50623": {
+      "content": "[XXXXX1132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50624": {
+      "content": "[XXXXX376]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50625": {
+      "content": "[XXXXX672]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50626": {
+      "content": "[XXXXX1013]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50627": {
+      "content": "[XXXXX328]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50628": {
+      "content": "[XXXXX889]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50629": {
+      "content": "[XXXXX1141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50630": {
+      "content": "[XXXXX429]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50631": {
+      "content": "[XXXXX114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50632": {
+      "content": "[XXXXX523]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50633": {
+      "content": "[XXXXX833]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50634": {
+      "content": "[XXXXX927]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50635": {
+      "content": "[XXXXX297]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50636": {
+      "content": "[XXXXX812]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50637": {
+      "content": "[XXXXX1062]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50638": {
+      "content": "[XXXXX152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50639": {
+      "content": "[XXXXX1010]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50640": {
+      "content": "[XXXXX690]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50641": {
+      "content": "[XXXXX363]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50642": {
+      "content": "[XXXXX1103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50643": {
+      "content": "[XXXXX194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50644": {
+      "content": "[XXXXX844]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50645": {
+      "content": "[XXXXX667]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50646": {
+      "content": "[XXXXX720]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50647": {
+      "content": "[XXXXX770]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50648": {
+      "content": "[XXXXX515]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50649": {
+      "content": "[XXXXX196]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50650": {
+      "content": "[XXXXX283]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50651": {
+      "content": "[XXXXX95]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50652": {
+      "content": "[XXXXX528]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50653": {
+      "content": "[XXXXX749]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50654": {
+      "content": "[XXXXX934]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50655": {
+      "content": "[XXXXX1052]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50656": {
+      "content": "[XXXXX1188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50657": {
+      "content": "[XXXXX1001]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50658": {
+      "content": "[XXXXX785]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50659": {
+      "content": "[XXXXX393]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50660": {
+      "content": "[XXXXX502]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50661": {
+      "content": "[XXXXX404]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50662": {
+      "content": "[XXXXX129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50663": {
+      "content": "[XXXXX643]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50664": {
+      "content": "[XXXXX1086]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50665": {
+      "content": "[XXXXX1104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50666": {
+      "content": "[XXXXX326]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50667": {
+      "content": "[XXXXX330]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50668": {
+      "content": "[XXXXX620]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50669": {
+      "content": "[XXXXX193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50670": {
+      "content": "[XXXXX470]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50671": {
+      "content": "[XXXXX279]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50672": {
+      "content": "[XXXXX97]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50673": {
+      "content": "[XXXXX177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50674": {
+      "content": "[XXXXX510]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50675": {
+      "content": "[XXXXX225]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50676": {
+      "content": "[XXXXX572]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50677": {
+      "content": "[XXXXX777]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50678": {
+      "content": "[XXXXX1135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50679": {
+      "content": "[XXXXX1160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50680": {
+      "content": "[XXXXX558]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50681": {
+      "content": "[XXXXX416]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50682": {
+      "content": "[XXXXX246]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50683": {
+      "content": "[XXXXX799]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50684": {
+      "content": "[XXXXX153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50685": {
+      "content": "[XXXXX671]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50686": {
+      "content": "[XXXXX809]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50687": {
+      "content": "[XXXXX525]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50688": {
+      "content": "[XXXXX1004]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50689": {
+      "content": "[XXXXX1005]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50690": {
+      "content": "[XXXXX1194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50691": {
+      "content": "[XXXXX408]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50692": {
+      "content": "[XXXXX492]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50693": {
+      "content": "[XXXXX973]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50694": {
+      "content": "[XXXXX242]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50695": {
+      "content": "[XXXXX357]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50696": {
+      "content": "[XXXXX851]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50697": {
+      "content": "[XXXXX999]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50698": {
+      "content": "[XXXXX969]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50699": {
+      "content": "[XXXXX453]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50700": {
+      "content": "[XXXXX730]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50701": {
+      "content": "[XXXXX54]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50702": {
+      "content": "[XXXXX480]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50703": {
+      "content": "[XXXXX564]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50704": {
+      "content": "[XXXXX600]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50705": {
+      "content": "[XXXXX654]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50706": {
+      "content": "[XXXXX37]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50707": {
+      "content": "[XXXXX605]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50708": {
+      "content": "[XXXXX164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50709": {
+      "content": "[XXXXX395]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50710": {
+      "content": "[XXXXX401]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50711": {
+      "content": "[XXXXX446]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50712": {
+      "content": "[XXXXX658]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50713": {
+      "content": "[XXXXX60]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50714": {
+      "content": "[XXXXX107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50715": {
+      "content": "[XXXXX131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50716": {
+      "content": "[XXXXX387]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50717": {
+      "content": "[XXXXX67]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50718": {
+      "content": "[XXXXX743]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50719": {
+      "content": "[XXXXX657]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50720": {
+      "content": "[XXXXX418]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50721": {
+      "content": "[XXXXX787]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50722": {
+      "content": "[XXXXX838]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50723": {
+      "content": "[XXXXX298]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50724": {
+      "content": "[XXXXX1007]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50725": {
+      "content": "[XXXXX1027]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50726": {
+      "content": "[XXXXX1078]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50727": {
+      "content": "[XXXXX651]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50728": {
+      "content": "[XXXXX875]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50729": {
+      "content": "[XXXXX258]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50730": {
+      "content": "[XXXXX413]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50731": {
+      "content": "[XXXXX1092]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50732": {
+      "content": "[XXXXX124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50733": {
+      "content": "[XXXXX308]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50734": {
+      "content": "[XXXXX1085]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50735": {
+      "content": "[XXXXX1170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50736": {
+      "content": "[XXXXX38]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50737": {
+      "content": "[XXXXX438]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50738": {
+      "content": "[XXXXX475]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50739": {
+      "content": "[XXXXX900]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50740": {
+      "content": "[XXXXX263]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50741": {
+      "content": "[XXXXX166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50742": {
+      "content": "[XXXXX698]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50743": {
+      "content": "[XXXXX1127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50744": {
+      "content": "[XXXXX1181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50745": {
+      "content": "[XXXXX763]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50746": {
+      "content": "[XXXXX627]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50747": {
+      "content": "[XXXXX250]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50748": {
+      "content": "[XXXXX757]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50749": {
+      "content": "[XXXXX142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50750": {
+      "content": "[XXXXX794]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50751": {
+      "content": "[XXXXX128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50752": {
+      "content": "[XXXXX35]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50753": {
+      "content": "[XXXXX482]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50754": {
+      "content": "[XXXXX834]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50755": {
+      "content": "[XXXXX679]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50756": {
+      "content": "[XXXXX839]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50757": {
+      "content": "[XXXXX138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50758": {
+      "content": "[XXXXX1066]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50759": {
+      "content": "[XXXXX116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50760": {
+      "content": "[XXXXX317]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50761": {
+      "content": "[XXXXX490]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50762": {
+      "content": "[XXXXX443]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50763": {
+      "content": "[XXXXX879]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50764": {
+      "content": "[XXXXX1101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50765": {
+      "content": "[XXXXX711]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50766": {
+      "content": "[XXXXX123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50767": {
+      "content": "[XXXXX1152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50768": {
+      "content": "[XXXXX692]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50769": {
+      "content": "[XXXXX555]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50770": {
+      "content": "[XXXXX266]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50771": {
+      "content": "[XXXXX0]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50772": {
+      "content": "[XXXXX332]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50773": {
+      "content": "[XXXXX497]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50774": {
+      "content": "[XXXXX904]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50775": {
+      "content": "[XXXXX1019]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50776": {
+      "content": "[XXXXX709]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50777": {
+      "content": "[XXXXX351]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50778": {
+      "content": "[XXXXX764]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50779": {
+      "content": "[XXXXX625]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50780": {
+      "content": "[XXXXX798]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50781": {
+      "content": "[XXXXX205]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50782": {
+      "content": "[XXXXX922]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50783": {
+      "content": "[XXXXX1075]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50784": {
+      "content": "[XXXXX8]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50785": {
+      "content": "[XXXXX422]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50786": {
+      "content": "[XXXXX638]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50787": {
+      "content": "[XXXXX98]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50788": {
+      "content": "[XXXXX814]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50789": {
+      "content": "[XXXXX1057]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50790": {
+      "content": "[XXXXX1070]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50791": {
+      "content": "[XXXXX411]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50792": {
+      "content": "[XXXXX768]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50793": {
+      "content": "[XXXXX1165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50794": {
+      "content": "[XXXXX888]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50795": {
+      "content": "[XXXXX636]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50796": {
+      "content": "[XXXXX1047]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50797": {
+      "content": "[XXXXX960]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50798": {
+      "content": "[XXXXX910]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50799": {
+      "content": "[XXXXX42]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50800": {
+      "content": "[XXXXX238]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50801": {
+      "content": "[XXXXX383]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50802": {
+      "content": "[XXXXX1032]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50803": {
+      "content": "[XXXXX577]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50804": {
+      "content": "[XXXXX268]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50805": {
+      "content": "[XXXXX179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50806": {
+      "content": "[XXXXX1076]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50807": {
+      "content": "[XXXXX1167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50808": {
+      "content": "[XXXXX1172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50809": {
+      "content": "[XXXXX665]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50810": {
+      "content": "[XXXXX126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50811": {
+      "content": "[XXXXX347]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50812": {
+      "content": "[XXXXX544]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50813": {
+      "content": "[XXXXX1026]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50814": {
+      "content": "[XXXXX159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50815": {
+      "content": "[XXXXX503]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50816": {
+      "content": "[XXXXX583]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50817": {
+      "content": "[XXXXX668]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50818": {
+      "content": "[XXXXX1115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50819": {
+      "content": "[XXXXX112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50820": {
+      "content": "[XXXXX154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50821": {
+      "content": "[XXXXX761]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50822": {
+      "content": "[XXXXX540]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50823": {
+      "content": "[XXXXX755]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50824": {
+      "content": "[XXXXX255]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50825": {
+      "content": "[XXXXX459]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50826": {
+      "content": "[XXXXX1090]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50827": {
+      "content": "[XXXXX689]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50828": {
+      "content": "[XXXXX589]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50829": {
+      "content": "[XXXXX122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50830": {
+      "content": "[XXXXX789]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50831": {
+      "content": "[XXXXX481]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50832": {
+      "content": "[XXXXX1044]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50833": {
+      "content": "[XXXXX274]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50834": {
+      "content": "[XXXXX957]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50835": {
+      "content": "[XXXXX1121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50836": {
+      "content": "[XXXXX464]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50837": {
+      "content": "[XXXXX495]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50838": {
+      "content": "[XXXXX1097]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50839": {
+      "content": "[XXXXX581]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50840": {
+      "content": "[XXXXX200]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50841": {
+      "content": "[XXXXX954]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50842": {
+      "content": "[XXXXX48]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50843": {
+      "content": "[XXXXX855]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50844": {
+      "content": "[XXXXX419]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50845": {
+      "content": "[XXXXX919]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50846": {
+      "content": "[XXXXX451]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50847": {
+      "content": "[XXXXX869]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50848": {
+      "content": "[XXXXX1082]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50849": {
+      "content": "[XXXXX1185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50850": {
+      "content": "[XXXXX859]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50851": {
+      "content": "[XXXXX1139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50852": {
+      "content": "[XXXXX1072]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50853": {
+      "content": "[XXXXX220]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50854": {
+      "content": "[XXXXX465]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50855": {
+      "content": "[XXXXX1105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50856": {
+      "content": "[XXXXX1093]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50857": {
+      "content": "[XXXXX953]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50858": {
+      "content": "[XXXXX1187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50859": {
+      "content": "[XXXXX311]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50860": {
+      "content": "[XXXXX403]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50861": {
+      "content": "[XXXXX684]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50862": {
+      "content": "[XXXXX426]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50863": {
+      "content": "[XXXXX68]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50864": {
+      "content": "[XXXXX277]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50865": {
+      "content": "[XXXXX437]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50866": {
+      "content": "[XXXXX896]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50867": {
+      "content": "[XXXXX899]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50868": {
+      "content": "[XXXXX878]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50869": {
+      "content": "[XXXXX1073]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50870": {
+      "content": "[XXXXX774]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50871": {
+      "content": "[XXXXX315]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50872": {
+      "content": "[XXXXX631]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50873": {
+      "content": "[XXXXX223]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50874": {
+      "content": "[XXXXX86]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50875": {
+      "content": "[XXXXX607]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50876": {
+      "content": "[XXXXX149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50877": {
+      "content": "[XXXXX566]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50878": {
+      "content": "[XXXXX740]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50879": {
+      "content": "[XXXXX265]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50880": {
+      "content": "[XXXXX399]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50881": {
+      "content": "[XXXXX1053]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50882": {
+      "content": "[XXXXX1077]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50883": {
+      "content": "[XXXXX336]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50884": {
+      "content": "[XXXXX734]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50885": {
+      "content": "[XXXXX289]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50886": {
+      "content": "[XXXXX221]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50887": {
+      "content": "[XXXXX580]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50888": {
+      "content": "[XXXXX406]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50889": {
+      "content": "[XXXXX854]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50890": {
+      "content": "[XXXXX673]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50891": {
+      "content": "[XXXXX1146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50892": {
+      "content": "[XXXXX29]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50893": {
+      "content": "[XXXXX496]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50894": {
+      "content": "[XXXXX241]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50895": {
+      "content": "[XXXXX929]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50896": {
+      "content": "[XXXXX169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50897": {
+      "content": "[XXXXX1153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50898": {
+      "content": "[XXXXX440]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50899": {
+      "content": "[XXXXX385]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50900": {
+      "content": "[XXXXX499]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50901": {
+      "content": "[XXXXX718]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50902": {
+      "content": "[XXXXX848]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50903": {
+      "content": "[XXXXX877]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50904": {
+      "content": "[XXXXX641]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50905": {
+      "content": "[XXXXX1137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50906": {
+      "content": "[XXXXX269]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50907": {
+      "content": "[XXXXX521]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50908": {
+      "content": "[XXXXX234]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50909": {
+      "content": "[XXXXX987]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50910": {
+      "content": "[XXXXX741]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50911": {
+      "content": "[XXXXX349]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50912": {
+      "content": "[XXXXX93]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50913": {
+      "content": "[XXXXX247]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50914": {
+      "content": "[XXXXX961]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50915": {
+      "content": "[XXXXX1120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50916": {
+      "content": "[XXXXX369]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50917": {
+      "content": "[XXXXX479]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50918": {
+      "content": "[XXXXX892]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50919": {
+      "content": "[XXXXX553]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50920": {
+      "content": "[XXXXX906]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50921": {
+      "content": "[XXXXX571]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50922": {
+      "content": "[XXXXX1046]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50923": {
+      "content": "[XXXXX206]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50924": {
+      "content": "[XXXXX488]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50925": {
+      "content": "[XXXXX445]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50926": {
+      "content": "[XXXXX524]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50927": {
+      "content": "[XXXXX228]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50928": {
+      "content": "[XXXXX998]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50929": {
+      "content": "[XXXXX675]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50930": {
+      "content": "[XXXXX732]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50931": {
+      "content": "[XXXXX1028]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50932": {
+      "content": "[XXXXX494]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50933": {
+      "content": "[XXXXX965]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50934": {
+      "content": "[XXXXX1021]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50935": {
+      "content": "[XXXXX726]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50936": {
+      "content": "[XXXXX168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50937": {
+      "content": "[XXXXX606]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50938": {
+      "content": "[XXXXX974]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50939": {
+      "content": "[XXXXX504]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50940": {
+      "content": "[XXXXX556]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50941": {
+      "content": "[XXXXX1159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50942": {
+      "content": "[XXXXX417]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50943": {
+      "content": "[XXXXX1175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50944": {
+      "content": "[XXXXX1142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50945": {
+      "content": "[XXXXX753]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50946": {
+      "content": "[XXXXX824]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50947": {
+      "content": "[XXXXX251]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50948": {
+      "content": "[XXXXX345]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50949": {
+      "content": "[XXXXX610]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50950": {
+      "content": "[XXXXX276]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50951": {
+      "content": "[XXXXX783]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50952": {
+      "content": "[XXXXX74]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50953": {
+      "content": "[XXXXX1050]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50954": {
+      "content": "[XXXXX71]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50955": {
+      "content": "[XXXXX360]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50956": {
+      "content": "[XXXXX512]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50957": {
+      "content": "[XXXXX341]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50958": {
+      "content": "[XXXXX375]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50959": {
+      "content": "[XXXXX637]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50960": {
+      "content": "[XXXXX1116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50961": {
+      "content": "[XXXXX9]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50962": {
+      "content": "[XXXXX738]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50963": {
+      "content": "[XXXXX856]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50964": {
+      "content": "[XXXXX979]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50965": {
+      "content": "[XXXXX825]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50966": {
+      "content": "[XXXXX852]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50967": {
+      "content": "[XXXXX215]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50968": {
+      "content": "[XXXXX91]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50969": {
+      "content": "[XXXXX257]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50970": {
+      "content": "[XXXXX325]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50971": {
+      "content": "[XXXXX368]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50972": {
+      "content": "[XXXXX1124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50973": {
+      "content": "[XXXXX188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50974": {
+      "content": "[XXXXX905]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50975": {
+      "content": "[XXXXX284]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50976": {
+      "content": "[XXXXX11]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50977": {
+      "content": "[XXXXX83]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50978": {
+      "content": "[XXXXX611]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50979": {
+      "content": "[XXXXX51]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50980": {
+      "content": "[XXXXX99]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50981": {
+      "content": "[XXXXX288]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50982": {
+      "content": "[XXXXX945]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50983": {
+      "content": "[XXXXX975]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50984": {
+      "content": "[XXXXX282]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50985": {
+      "content": "[XXXXX1068]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50986": {
+      "content": "[XXXXX1180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50987": {
+      "content": "[XXXXX574]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50988": {
+      "content": "[XXXXX305]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50989": {
+      "content": "[XXXXX565]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50990": {
+      "content": "[XXXXX865]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50991": {
+      "content": "[XXXXX1014]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50992": {
+      "content": "[XXXXX1138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50993": {
+      "content": "[XXXXX134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50994": {
+      "content": "[XXXXX321]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50995": {
+      "content": "[XXXXX752]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50996": {
+      "content": "[XXXXX108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50997": {
+      "content": "[XXXXX339]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50998": {
+      "content": "[XXXXX893]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50999": {
+      "content": "[XXXXX1177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51000": {
+      "content": "[XXXXX988]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51001": {
+      "content": "[XXXXX719]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51002": {
+      "content": "[XXXXX1059]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51003": {
+      "content": "[XXXXX421]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51004": {
+      "content": "[XXXXX670]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51005": {
+      "content": "[XXXXX949]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51006": {
+      "content": "[XXXXX14]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51007": {
+      "content": "[XXXXX1087]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51008": {
+      "content": "[XXXXX382]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51009": {
+      "content": "[XXXXX531]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51010": {
+      "content": "[XXXXX1079]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51011": {
+      "content": "[XXXXX1067]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51012": {
+      "content": "[XXXXX655]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51013": {
+      "content": "[XXXXX340]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51014": {
+      "content": "[XXXXX398]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51015": {
+      "content": "[XXXXX175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51016": {
+      "content": "[XXXXX232]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51017": {
+      "content": "[XXXXX244]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51018": {
+      "content": "[XXXXX568]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51019": {
+      "content": "[XXXXX1110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51020": {
+      "content": "[XXXXX191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51021": {
+      "content": "[XXXXX931]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51022": {
+      "content": "[XXXXX832]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51023": {
+      "content": "[XXXXX1030]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51024": {
+      "content": "[XXXXX144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51025": {
+      "content": "[XXXXX1102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51026": {
+      "content": "[XXXXX300]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51027": {
+      "content": "[XXXXX996]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51028": {
+      "content": "[XXXXX248]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51029": {
+      "content": "[XXXXX66]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51030": {
+      "content": "[XXXXX735]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51031": {
+      "content": "[XXXXX20]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51032": {
+      "content": "[XXXXX694]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51033": {
+      "content": "[XXXXX845]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51034": {
+      "content": "[XXXXX500]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51035": {
+      "content": "[XXXXX613]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51036": {
+      "content": "[XXXXX117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51037": {
+      "content": "[XXXXX886]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51038": {
+      "content": "[XXXXX261]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51039": {
+      "content": "[XXXXX567]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51040": {
+      "content": "[XXXXX541]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51041": {
+      "content": "[XXXXX529]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51042": {
+      "content": "[XXXXX699]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51043": {
+      "content": "[XXXXX715]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51044": {
+      "content": "[XXXXX1003]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51045": {
+      "content": "[XXXXX518]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51046": {
+      "content": "[XXXXX891]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51047": {
+      "content": "[XXXXX192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51048": {
+      "content": "[XXXXX53]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51049": {
+      "content": "[XXXXX428]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51050": {
+      "content": "[XXXXX183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51051": {
+      "content": "[XXXXX850]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51052": {
+      "content": "[XXXXX539]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51053": {
+      "content": "[XXXXX527]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51054": {
+      "content": "[XXXXX660]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51055": {
+      "content": "[XXXXX409]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51056": {
+      "content": "[XXXXX1122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51057": {
+      "content": "[XXXXX898]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51058": {
+      "content": "[XXXXX858]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51059": {
+      "content": "[XXXXX534]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51060": {
+      "content": "[XXXXX756]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51061": {
+      "content": "[XXXXX63]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51062": {
+      "content": "[XXXXX49]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51063": {
+      "content": "[XXXXX1106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51064": {
+      "content": "[XXXXX111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51065": {
+      "content": "[XXXXX955]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51066": {
+      "content": "[XXXXX309]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51067": {
+      "content": "[XXXXX538]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51068": {
+      "content": "[XXXXX823]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51069": {
+      "content": "[XXXXX867]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51070": {
+      "content": "[XXXXX587]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51071": {
+      "content": "[XXXXX243]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51072": {
+      "content": "[XXXXX677]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51073": {
+      "content": "[XXXXX1017]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51074": {
+      "content": "[XXXXX173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51075": {
+      "content": "[XXXXX682]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51076": {
+      "content": "[XXXXX1184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51077": {
+      "content": "[XXXXX1009]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51078": {
+      "content": "[XXXXX704]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51079": {
+      "content": "[XXXXX532]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51080": {
+      "content": "[XXXXX901]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51081": {
+      "content": "[XXXXX120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51082": {
+      "content": "[XXXXX388]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51083": {
+      "content": "[XXXXX405]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51084": {
+      "content": "[XXXXX788]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51085": {
+      "content": "[XXXXX728]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51086": {
+      "content": "[XXXXX425]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51087": {
+      "content": "[XXXXX883]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51088": {
+      "content": "[XXXXX837]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51089": {
+      "content": "[XXXXX350]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51090": {
+      "content": "[XXXXX716]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51091": {
+      "content": "[XXXXX579]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51092": {
+      "content": "[XXXXX909]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51093": {
+      "content": "[XXXXX884]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51094": {
+      "content": "[XXXXX1011]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51095": {
+      "content": "[XXXXX372]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51096": {
+      "content": "[XXXXX370]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51097": {
+      "content": "[XXXXX468]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51098": {
+      "content": "[XXXXX688]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51099": {
+      "content": "[XXXXX56]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51100": {
+      "content": "[XXXXX653]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51101": {
+      "content": "[XXXXX623]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51102": {
+      "content": "[XXXXX552]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51103": {
+      "content": "[XXXXX314]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51104": {
+      "content": "[XXXXX1018]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51105": {
+      "content": "[XXXXX1091]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51106": {
+      "content": "[XXXXX342]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51107": {
+      "content": "[XXXXX1065]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51108": {
+      "content": "[XXXXX1161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51109": {
+      "content": "[XXXXX959]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51110": {
+      "content": "[XXXXX1035]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51111": {
+      "content": "[XXXXX530]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51112": {
+      "content": "[XXXXX69]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51113": {
+      "content": "[XXXXX489]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51114": {
+      "content": "[XXXXX1]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51115": {
+      "content": "[XXXXX207]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51116": {
+      "content": "[XXXXX433]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51117": {
+      "content": "[XXXXX358]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51118": {
+      "content": "[XXXXX601]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51119": {
+      "content": "[XXXXX2]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51120": {
+      "content": "[XXXXX722]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51121": {
+      "content": "[XXXXX985]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51122": {
+      "content": "[XXXXX908]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51123": {
+      "content": "[XXXXX1024]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51124": {
+      "content": "[XXXXX1111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51125": {
+      "content": "[XXXXX1113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51126": {
+      "content": "[XXXXX678]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51127": {
+      "content": "[XXXXX19]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51128": {
+      "content": "[XXXXX1186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51129": {
+      "content": "[XXXXX808]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51130": {
+      "content": "[XXXXX493]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51131": {
+      "content": "[XXXXX1155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51132": {
+      "content": "[XXXXX217]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51133": {
+      "content": "[XXXXX616]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51134": {
+      "content": "[XXXXX835]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51135": {
+      "content": "[XXXXX994]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51136": {
+      "content": "[XXXXX484]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51137": {
+      "content": "[XXXXX362]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51138": {
+      "content": "[XXXXX582]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51139": {
+      "content": "[XXXXX1034]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51140": {
+      "content": "[XXXXX772]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51141": {
+      "content": "[XXXXX457]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51142": {
+      "content": "[XXXXX604]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51143": {
+      "content": "[XXXXX456]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51144": {
+      "content": "[XXXXX145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51145": {
+      "content": "[XXXXX476]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51146": {
+      "content": "[XXXXX218]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51147": {
+      "content": "[XXXXX199]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51148": {
+      "content": "[XXXXX364]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51149": {
+      "content": "[XXXXX302]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51150": {
+      "content": "[XXXXX881]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51151": {
+      "content": "[XXXXX1088]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51152": {
+      "content": "[XXXXX356]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51153": {
+      "content": "[XXXXX936]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51154": {
+      "content": "[XXXXX978]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51155": {
+      "content": "[XXXXX895]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51156": {
+      "content": "[XXXXX993]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51157": {
+      "content": "[XXXXX458]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51158": {
+      "content": "[XXXXX1002]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51159": {
+      "content": "[XXXXX1022]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51160": {
+      "content": "[XXXXX25]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51161": {
+      "content": "[XXXXX766]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51162": {
+      "content": "[XXXXX64]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51163": {
+      "content": "[XXXXX211]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51164": {
+      "content": "[XXXXX82]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51165": {
+      "content": "[XXXXX634]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51166": {
+      "content": "[XXXXX661]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51167": {
+      "content": "[XXXXX748]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51168": {
+      "content": "[XXXXX778]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51169": {
+      "content": "[XXXXX24]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51170": {
+      "content": "[XXXXX448]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51171": {
+      "content": "[XXXXX887]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51172": {
+      "content": "[XXXXX890]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51173": {
+      "content": "[XXXXX754]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51174": {
+      "content": "[XXXXX343]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51175": {
+      "content": "[XXXXX1069]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51176": {
+      "content": "[XXXXX294]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51177": {
+      "content": "[XXXXX295]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51178": {
+      "content": "[XXXXX197]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51179": {
+      "content": "[XXXXX210]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51180": {
+      "content": "[XXXXX630]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51181": {
+      "content": "[XXXXX707]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51182": {
+      "content": "[XXXXX864]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51183": {
+      "content": "[XXXXX391]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51184": {
+      "content": "[XXXXX338]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51185": {
+      "content": "[XXXXX800]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51186": {
+      "content": "[XXXXX841]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51187": {
+      "content": "[XXXXX967]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51188": {
+      "content": "[XXXXX793]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51189": {
+      "content": "[XXXXX916]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51190": {
+      "content": "[XXXXX603]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51191": {
+      "content": "[XXXXX270]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51192": {
+      "content": "[XXXXX105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51193": {
+      "content": "[XXXXX1016]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51194": {
+      "content": "[XXXXX804]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51195": {
+      "content": "[XXXXX264]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51196": {
+      "content": "[XXXXX155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51197": {
+      "content": "[XXXXX1190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51198": {
+      "content": "[XXXXX813]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51199": {
+      "content": "[XXXXX546]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "keep_accents": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}
diff --git a/checkpoint-8000/trainer_state.json b/checkpoint-8000/trainer_state.json
new file mode 100644
index 0000000..cec13c7
--- /dev/null
+++ b/checkpoint-8000/trainer_state.json
@@ -0,0 +1,16210 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 6.628003314001657,
+  "eval_steps": 500,
+  "global_step": 8000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "entropy": 7.218191003799438,
+      "epoch": 0.004142502071251036,
+      "grad_norm": 1.265625,
+      "learning_rate": 2e-06,
+      "loss": 6.8898,
+      "mean_token_accuracy": 0.08805170804262161,
+      "num_tokens": 9149.0,
+      "step": 5
+    },
+    {
+      "entropy": 7.191673707962036,
+      "epoch": 0.008285004142502071,
+      "grad_norm": 1.5078125,
+      "learning_rate": 4.5e-06,
+      "loss": 6.7268,
+      "mean_token_accuracy": 0.09304728880524635,
+      "num_tokens": 16800.0,
+      "step": 10
+    },
+    {
+      "entropy": 7.134524202346801,
+      "epoch": 0.012427506213753107,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7e-06,
+      "loss": 6.8905,
+      "mean_token_accuracy": 0.0921505056321621,
+      "num_tokens": 26617.0,
+      "step": 15
+    },
+    {
+      "entropy": 7.115550088882446,
+      "epoch": 0.016570008285004142,
+      "grad_norm": 1.25,
+      "learning_rate": 9.5e-06,
+      "loss": 6.8021,
+      "mean_token_accuracy": 0.09268744736909866,
+      "num_tokens": 35855.0,
+      "step": 20
+    },
+    {
+      "entropy": 7.12396879196167,
+      "epoch": 0.020712510356255178,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.2e-05,
+      "loss": 7.0094,
+      "mean_token_accuracy": 0.08752714470028877,
+      "num_tokens": 45644.0,
+      "step": 25
+    },
+    {
+      "entropy": 7.054446792602539,
+      "epoch": 0.024855012427506214,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.4500000000000002e-05,
+      "loss": 6.8922,
+      "mean_token_accuracy": 0.09398627206683159,
+      "num_tokens": 54641.0,
+      "step": 30
+    },
+    {
+      "entropy": 7.012255907058716,
+      "epoch": 0.02899751449875725,
+      "grad_norm": 1.0234375,
+      "learning_rate": 1.7000000000000003e-05,
+      "loss": 6.7519,
+      "mean_token_accuracy": 0.08958807587623596,
+      "num_tokens": 63924.0,
+      "step": 35
+    },
+    {
+      "entropy": 7.068031549453735,
+      "epoch": 0.033140016570008285,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.95e-05,
+      "loss": 6.89,
+      "mean_token_accuracy": 0.09437783882021904,
+      "num_tokens": 73452.0,
+      "step": 40
+    },
+    {
+      "entropy": 7.06072301864624,
+      "epoch": 0.037282518641259324,
+      "grad_norm": 1.0234375,
+      "learning_rate": 2.2e-05,
+      "loss": 6.9455,
+      "mean_token_accuracy": 0.0851291574537754,
+      "num_tokens": 82731.0,
+      "step": 45
+    },
+    {
+      "entropy": 7.090083169937134,
+      "epoch": 0.041425020712510356,
+      "grad_norm": 1.1015625,
+      "learning_rate": 2.4500000000000003e-05,
+      "loss": 6.7734,
+      "mean_token_accuracy": 0.09048294499516488,
+      "num_tokens": 92626.0,
+      "step": 50
+    },
+    {
+      "entropy": 7.149203157424926,
+      "epoch": 0.045567522783761395,
+      "grad_norm": 1.21875,
+      "learning_rate": 2.7e-05,
+      "loss": 6.9497,
+      "mean_token_accuracy": 0.08217904865741729,
+      "num_tokens": 101380.0,
+      "step": 55
+    },
+    {
+      "entropy": 7.119951963424683,
+      "epoch": 0.04971002485501243,
+      "grad_norm": 1.046875,
+      "learning_rate": 2.95e-05,
+      "loss": 6.8604,
+      "mean_token_accuracy": 0.09202293381094932,
+      "num_tokens": 109895.0,
+      "step": 60
+    },
+    {
+      "entropy": 7.2014998435974125,
+      "epoch": 0.053852526926263466,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.2e-05,
+      "loss": 6.8449,
+      "mean_token_accuracy": 0.09257669150829315,
+      "num_tokens": 119203.0,
+      "step": 65
+    },
+    {
+      "entropy": 7.1111664295196535,
+      "epoch": 0.0579950289975145,
+      "grad_norm": 1.1484375,
+      "learning_rate": 3.4500000000000005e-05,
+      "loss": 6.7903,
+      "mean_token_accuracy": 0.09657297283411026,
+      "num_tokens": 127572.0,
+      "step": 70
+    },
+    {
+      "entropy": 7.04930944442749,
+      "epoch": 0.06213753106876554,
+      "grad_norm": 1.03125,
+      "learning_rate": 3.7e-05,
+      "loss": 6.8304,
+      "mean_token_accuracy": 0.09063600301742554,
+      "num_tokens": 137161.0,
+      "step": 75
+    },
+    {
+      "entropy": 7.044711875915527,
+      "epoch": 0.06628003314001657,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.95e-05,
+      "loss": 6.9451,
+      "mean_token_accuracy": 0.08874713778495788,
+      "num_tokens": 145991.0,
+      "step": 80
+    },
+    {
+      "entropy": 7.130092525482178,
+      "epoch": 0.07042253521126761,
+      "grad_norm": 1.0546875,
+      "learning_rate": 4.2000000000000004e-05,
+      "loss": 6.8464,
+      "mean_token_accuracy": 0.08955071866512299,
+      "num_tokens": 154927.0,
+      "step": 85
+    },
+    {
+      "entropy": 7.090402746200562,
+      "epoch": 0.07456503728251865,
+      "grad_norm": 1.34375,
+      "learning_rate": 4.45e-05,
+      "loss": 6.7595,
+      "mean_token_accuracy": 0.09832768961787224,
+      "num_tokens": 163234.0,
+      "step": 90
+    },
+    {
+      "entropy": 7.08957576751709,
+      "epoch": 0.07870753935376967,
+      "grad_norm": 1.015625,
+      "learning_rate": 4.7000000000000004e-05,
+      "loss": 6.7163,
+      "mean_token_accuracy": 0.09379880875349045,
+      "num_tokens": 171554.0,
+      "step": 95
+    },
+    {
+      "entropy": 7.044517278671265,
+      "epoch": 0.08285004142502071,
+      "grad_norm": 1.1328125,
+      "learning_rate": 4.9500000000000004e-05,
+      "loss": 6.8173,
+      "mean_token_accuracy": 0.0955286517739296,
+      "num_tokens": 180171.0,
+      "step": 100
+    },
+    {
+      "entropy": 7.050950908660889,
+      "epoch": 0.08699254349627175,
+      "grad_norm": 1.0859375,
+      "learning_rate": 5.2e-05,
+      "loss": 6.761,
+      "mean_token_accuracy": 0.09741089940071106,
+      "num_tokens": 189216.0,
+      "step": 105
+    },
+    {
+      "entropy": 7.173562717437744,
+      "epoch": 0.09113504556752279,
+      "grad_norm": 1.015625,
+      "learning_rate": 5.45e-05,
+      "loss": 6.9519,
+      "mean_token_accuracy": 0.08675800338387489,
+      "num_tokens": 200022.0,
+      "step": 110
+    },
+    {
+      "entropy": 7.183744478225708,
+      "epoch": 0.09527754763877382,
+      "grad_norm": 1.2265625,
+      "learning_rate": 5.7e-05,
+      "loss": 6.8642,
+      "mean_token_accuracy": 0.09210581332445145,
+      "num_tokens": 208686.0,
+      "step": 115
+    },
+    {
+      "entropy": 7.121539115905762,
+      "epoch": 0.09942004971002485,
+      "grad_norm": 1.1875,
+      "learning_rate": 5.9499999999999996e-05,
+      "loss": 6.8829,
+      "mean_token_accuracy": 0.09462191313505172,
+      "num_tokens": 218266.0,
+      "step": 120
+    },
+    {
+      "entropy": 7.006736946105957,
+      "epoch": 0.1035625517812759,
+      "grad_norm": 1.046875,
+      "learning_rate": 6.2e-05,
+      "loss": 6.7523,
+      "mean_token_accuracy": 0.08771666437387467,
+      "num_tokens": 227658.0,
+      "step": 125
+    },
+    {
+      "entropy": 7.040027761459351,
+      "epoch": 0.10770505385252693,
+      "grad_norm": 1.1015625,
+      "learning_rate": 6.450000000000001e-05,
+      "loss": 6.7014,
+      "mean_token_accuracy": 0.1004502885043621,
+      "num_tokens": 236301.0,
+      "step": 130
+    },
+    {
+      "entropy": 7.106470441818237,
+      "epoch": 0.11184755592377796,
+      "grad_norm": 1.1171875,
+      "learning_rate": 6.7e-05,
+      "loss": 6.8424,
+      "mean_token_accuracy": 0.08812138065695763,
+      "num_tokens": 246355.0,
+      "step": 135
+    },
+    {
+      "entropy": 7.174679756164551,
+      "epoch": 0.115990057995029,
+      "grad_norm": 1.15625,
+      "learning_rate": 6.950000000000001e-05,
+      "loss": 6.8174,
+      "mean_token_accuracy": 0.0924198254942894,
+      "num_tokens": 256023.0,
+      "step": 140
+    },
+    {
+      "entropy": 7.10174069404602,
+      "epoch": 0.12013256006628004,
+      "grad_norm": 0.9921875,
+      "learning_rate": 7.2e-05,
+      "loss": 6.9036,
+      "mean_token_accuracy": 0.08638993799686431,
+      "num_tokens": 266893.0,
+      "step": 145
+    },
+    {
+      "entropy": 7.019921684265137,
+      "epoch": 0.12427506213753108,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7.45e-05,
+      "loss": 6.6606,
+      "mean_token_accuracy": 0.08872481286525727,
+      "num_tokens": 276075.0,
+      "step": 150
+    },
+    {
+      "entropy": 7.042754888534546,
+      "epoch": 0.12841756420878211,
+      "grad_norm": 1.25,
+      "learning_rate": 7.7e-05,
+      "loss": 6.7532,
+      "mean_token_accuracy": 0.09296932220458984,
+      "num_tokens": 285529.0,
+      "step": 155
+    },
+    {
+      "entropy": 7.064399909973145,
+      "epoch": 0.13256006628003314,
+      "grad_norm": 1.15625,
+      "learning_rate": 7.950000000000001e-05,
+      "loss": 6.762,
+      "mean_token_accuracy": 0.09406789913773536,
+      "num_tokens": 294403.0,
+      "step": 160
+    },
+    {
+      "entropy": 7.152362823486328,
+      "epoch": 0.13670256835128416,
+      "grad_norm": 1.28125,
+      "learning_rate": 8.2e-05,
+      "loss": 6.8553,
+      "mean_token_accuracy": 0.09358441680669785,
+      "num_tokens": 303507.0,
+      "step": 165
+    },
+    {
+      "entropy": 7.071487474441528,
+      "epoch": 0.14084507042253522,
+      "grad_norm": 1.21875,
+      "learning_rate": 8.450000000000001e-05,
+      "loss": 6.7534,
+      "mean_token_accuracy": 0.09645206108689308,
+      "num_tokens": 312393.0,
+      "step": 170
+    },
+    {
+      "entropy": 6.956210470199585,
+      "epoch": 0.14498757249378624,
+      "grad_norm": 1.0859375,
+      "learning_rate": 8.7e-05,
+      "loss": 6.7226,
+      "mean_token_accuracy": 0.09953253641724587,
+      "num_tokens": 321309.0,
+      "step": 175
+    },
+    {
+      "entropy": 7.2200812816619875,
+      "epoch": 0.1491300745650373,
+      "grad_norm": 1.1328125,
+      "learning_rate": 8.95e-05,
+      "loss": 6.7879,
+      "mean_token_accuracy": 0.09582221284508705,
+      "num_tokens": 330217.0,
+      "step": 180
+    },
+    {
+      "entropy": 6.964824962615967,
+      "epoch": 0.15327257663628832,
+      "grad_norm": 1.2109375,
+      "learning_rate": 9.2e-05,
+      "loss": 6.8296,
+      "mean_token_accuracy": 0.09584516286849976,
+      "num_tokens": 339587.0,
+      "step": 185
+    },
+    {
+      "entropy": 7.104565525054932,
+      "epoch": 0.15741507870753935,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.45e-05,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.09563353508710862,
+      "num_tokens": 349367.0,
+      "step": 190
+    },
+    {
+      "entropy": 6.90956711769104,
+      "epoch": 0.1615575807787904,
+      "grad_norm": 1.1953125,
+      "learning_rate": 9.7e-05,
+      "loss": 6.6535,
+      "mean_token_accuracy": 0.09533214569091797,
+      "num_tokens": 358272.0,
+      "step": 195
+    },
+    {
+      "entropy": 7.184430170059204,
+      "epoch": 0.16570008285004142,
+      "grad_norm": 1.1875,
+      "learning_rate": 9.95e-05,
+      "loss": 6.8847,
+      "mean_token_accuracy": 0.09342379868030548,
+      "num_tokens": 367709.0,
+      "step": 200
+    },
+    {
+      "entropy": 7.108258152008057,
+      "epoch": 0.16984258492129245,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000102,
+      "loss": 6.7363,
+      "mean_token_accuracy": 0.09321728497743606,
+      "num_tokens": 376180.0,
+      "step": 205
+    },
+    {
+      "entropy": 7.143853282928466,
+      "epoch": 0.1739850869925435,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00010449999999999999,
+      "loss": 6.8927,
+      "mean_token_accuracy": 0.08639989122748375,
+      "num_tokens": 385636.0,
+      "step": 210
+    },
+    {
+      "entropy": 7.005528688430786,
+      "epoch": 0.17812758906379453,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000107,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.10387283116579056,
+      "num_tokens": 394486.0,
+      "step": 215
+    },
+    {
+      "entropy": 7.066776275634766,
+      "epoch": 0.18227009113504558,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0001095,
+      "loss": 6.7286,
+      "mean_token_accuracy": 0.09739693626761436,
+      "num_tokens": 403765.0,
+      "step": 220
+    },
+    {
+      "entropy": 6.9391695022583,
+      "epoch": 0.1864125932062966,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000112,
+      "loss": 6.7198,
+      "mean_token_accuracy": 0.09883175939321517,
+      "num_tokens": 412988.0,
+      "step": 225
+    },
+    {
+      "entropy": 7.029045248031617,
+      "epoch": 0.19055509527754763,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0001145,
+      "loss": 6.6219,
+      "mean_token_accuracy": 0.09850638806819915,
+      "num_tokens": 422096.0,
+      "step": 230
+    },
+    {
+      "entropy": 7.055552911758423,
+      "epoch": 0.19469759734879868,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011700000000000001,
+      "loss": 6.7907,
+      "mean_token_accuracy": 0.08912368193268776,
+      "num_tokens": 431333.0,
+      "step": 235
+    },
+    {
+      "entropy": 7.076433277130127,
+      "epoch": 0.1988400994200497,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00011949999999999999,
+      "loss": 6.825,
+      "mean_token_accuracy": 0.0998022735118866,
+      "num_tokens": 440382.0,
+      "step": 240
+    },
+    {
+      "entropy": 7.098494958877564,
+      "epoch": 0.20298260149130073,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000122,
+      "loss": 6.7184,
+      "mean_token_accuracy": 0.1035430908203125,
+      "num_tokens": 448469.0,
+      "step": 245
+    },
+    {
+      "entropy": 7.065437746047974,
+      "epoch": 0.2071251035625518,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001245,
+      "loss": 6.7562,
+      "mean_token_accuracy": 0.0973759837448597,
+      "num_tokens": 457356.0,
+      "step": 250
+    },
+    {
+      "entropy": 7.103154182434082,
+      "epoch": 0.2112676056338028,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000127,
+      "loss": 6.7821,
+      "mean_token_accuracy": 0.09721289053559304,
+      "num_tokens": 465928.0,
+      "step": 255
+    },
+    {
+      "entropy": 6.99681601524353,
+      "epoch": 0.21541010770505387,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0001295,
+      "loss": 6.6931,
+      "mean_token_accuracy": 0.09931288808584213,
+      "num_tokens": 475269.0,
+      "step": 260
+    },
+    {
+      "entropy": 6.960800266265869,
+      "epoch": 0.2195526097763049,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000132,
+      "loss": 6.679,
+      "mean_token_accuracy": 0.09512786641716957,
+      "num_tokens": 485450.0,
+      "step": 265
+    },
+    {
+      "entropy": 7.0514568328857425,
+      "epoch": 0.22369511184755592,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00013450000000000002,
+      "loss": 6.7347,
+      "mean_token_accuracy": 0.10228226557374001,
+      "num_tokens": 494029.0,
+      "step": 270
+    },
+    {
+      "entropy": 6.9516912460327145,
+      "epoch": 0.22783761391880697,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013700000000000002,
+      "loss": 6.676,
+      "mean_token_accuracy": 0.10202871784567832,
+      "num_tokens": 503253.0,
+      "step": 275
+    },
+    {
+      "entropy": 7.018160057067871,
+      "epoch": 0.231980115990058,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0001395,
+      "loss": 6.6685,
+      "mean_token_accuracy": 0.09529435187578202,
+      "num_tokens": 512857.0,
+      "step": 280
+    },
+    {
+      "entropy": 6.9714985370635985,
+      "epoch": 0.23612261806130902,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00014199999999999998,
+      "loss": 6.7719,
+      "mean_token_accuracy": 0.09288227260112762,
+      "num_tokens": 522319.0,
+      "step": 285
+    },
+    {
+      "entropy": 7.113205528259277,
+      "epoch": 0.24026512013256007,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0001445,
+      "loss": 6.7224,
+      "mean_token_accuracy": 0.09471780881285667,
+      "num_tokens": 531469.0,
+      "step": 290
+    },
+    {
+      "entropy": 6.976934480667114,
+      "epoch": 0.2444076222038111,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000147,
+      "loss": 6.756,
+      "mean_token_accuracy": 0.09480062946677208,
+      "num_tokens": 540470.0,
+      "step": 295
+    },
+    {
+      "entropy": 7.011937475204467,
+      "epoch": 0.24855012427506215,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0001495,
+      "loss": 6.7584,
+      "mean_token_accuracy": 0.09700122326612473,
+      "num_tokens": 550317.0,
+      "step": 300
+    },
+    {
+      "entropy": 7.0365160465240475,
+      "epoch": 0.2526926263463132,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000152,
+      "loss": 6.7067,
+      "mean_token_accuracy": 0.09434132501482964,
+      "num_tokens": 559409.0,
+      "step": 305
+    },
+    {
+      "entropy": 6.928857326507568,
+      "epoch": 0.25683512841756423,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00015450000000000001,
+      "loss": 6.768,
+      "mean_token_accuracy": 0.10764710158109665,
+      "num_tokens": 568726.0,
+      "step": 310
+    },
+    {
+      "entropy": 7.103991413116455,
+      "epoch": 0.2609776304888152,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000157,
+      "loss": 6.7179,
+      "mean_token_accuracy": 0.0976541943848133,
+      "num_tokens": 577926.0,
+      "step": 315
+    },
+    {
+      "entropy": 7.047203779220581,
+      "epoch": 0.2651201325600663,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001595,
+      "loss": 6.7448,
+      "mean_token_accuracy": 0.09809661954641342,
+      "num_tokens": 586695.0,
+      "step": 320
+    },
+    {
+      "entropy": 7.039609956741333,
+      "epoch": 0.26926263463131733,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000162,
+      "loss": 6.771,
+      "mean_token_accuracy": 0.0949723981320858,
+      "num_tokens": 596250.0,
+      "step": 325
+    },
+    {
+      "entropy": 7.063632202148438,
+      "epoch": 0.27340513670256833,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00016450000000000001,
+      "loss": 6.8221,
+      "mean_token_accuracy": 0.09051206335425377,
+      "num_tokens": 605761.0,
+      "step": 330
+    },
+    {
+      "entropy": 7.019326877593994,
+      "epoch": 0.2775476387738194,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00016700000000000002,
+      "loss": 6.7365,
+      "mean_token_accuracy": 0.09872144013643265,
+      "num_tokens": 614313.0,
+      "step": 335
+    },
+    {
+      "entropy": 7.037422132492066,
+      "epoch": 0.28169014084507044,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00016950000000000003,
+      "loss": 6.7692,
+      "mean_token_accuracy": 0.09455474764108658,
+      "num_tokens": 624470.0,
+      "step": 340
+    },
+    {
+      "entropy": 7.039082098007202,
+      "epoch": 0.28583264291632143,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00017199999999999998,
+      "loss": 6.6843,
+      "mean_token_accuracy": 0.09269843101501465,
+      "num_tokens": 633458.0,
+      "step": 345
+    },
+    {
+      "entropy": 6.942268037796021,
+      "epoch": 0.2899751449875725,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00017449999999999999,
+      "loss": 6.6939,
+      "mean_token_accuracy": 0.09877684414386749,
+      "num_tokens": 643251.0,
+      "step": 350
+    },
+    {
+      "entropy": 6.99584732055664,
+      "epoch": 0.29411764705882354,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000177,
+      "loss": 6.7635,
+      "mean_token_accuracy": 0.09713540598750114,
+      "num_tokens": 652005.0,
+      "step": 355
+    },
+    {
+      "entropy": 7.006586170196533,
+      "epoch": 0.2982601491300746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0001795,
+      "loss": 6.6575,
+      "mean_token_accuracy": 0.10120807588100433,
+      "num_tokens": 661003.0,
+      "step": 360
+    },
+    {
+      "entropy": 6.874996137619019,
+      "epoch": 0.3024026512013256,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000182,
+      "loss": 6.6294,
+      "mean_token_accuracy": 0.09844254851341247,
+      "num_tokens": 670221.0,
+      "step": 365
+    },
+    {
+      "entropy": 7.155635738372803,
+      "epoch": 0.30654515327257664,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001845,
+      "loss": 6.9236,
+      "mean_token_accuracy": 0.0882349319756031,
+      "num_tokens": 680756.0,
+      "step": 370
+    },
+    {
+      "entropy": 6.94540753364563,
+      "epoch": 0.3106876553438277,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000187,
+      "loss": 6.6157,
+      "mean_token_accuracy": 0.10289054960012436,
+      "num_tokens": 689641.0,
+      "step": 375
+    },
+    {
+      "entropy": 6.87992377281189,
+      "epoch": 0.3148301574150787,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001895,
+      "loss": 6.5696,
+      "mean_token_accuracy": 0.09839320331811904,
+      "num_tokens": 698209.0,
+      "step": 380
+    },
+    {
+      "entropy": 6.823869276046753,
+      "epoch": 0.31897265948632975,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000192,
+      "loss": 6.5736,
+      "mean_token_accuracy": 0.10355777889490128,
+      "num_tokens": 706712.0,
+      "step": 385
+    },
+    {
+      "entropy": 7.037634468078613,
+      "epoch": 0.3231151615575808,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0001945,
+      "loss": 6.8017,
+      "mean_token_accuracy": 0.09728012606501579,
+      "num_tokens": 716087.0,
+      "step": 390
+    },
+    {
+      "entropy": 6.911249494552612,
+      "epoch": 0.3272576636288318,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00019700000000000002,
+      "loss": 6.6465,
+      "mean_token_accuracy": 0.09347675815224647,
+      "num_tokens": 725913.0,
+      "step": 395
+    },
+    {
+      "entropy": 6.944440317153931,
+      "epoch": 0.33140016570008285,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019950000000000002,
+      "loss": 6.7201,
+      "mean_token_accuracy": 0.10362306237220764,
+      "num_tokens": 735020.0,
+      "step": 400
+    },
+    {
+      "entropy": 6.985636854171753,
+      "epoch": 0.3355426677713339,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000202,
+      "loss": 6.6216,
+      "mean_token_accuracy": 0.09469136893749237,
+      "num_tokens": 744299.0,
+      "step": 405
+    },
+    {
+      "entropy": 6.883630275726318,
+      "epoch": 0.3396851698425849,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00020449999999999998,
+      "loss": 6.6099,
+      "mean_token_accuracy": 0.09694516137242318,
+      "num_tokens": 753231.0,
+      "step": 410
+    },
+    {
+      "entropy": 6.825357389450073,
+      "epoch": 0.34382767191383595,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000207,
+      "loss": 6.6717,
+      "mean_token_accuracy": 0.10230854973196983,
+      "num_tokens": 763043.0,
+      "step": 415
+    },
+    {
+      "entropy": 7.016851997375488,
+      "epoch": 0.347970173985087,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0002095,
+      "loss": 6.6905,
+      "mean_token_accuracy": 0.09913048222661018,
+      "num_tokens": 771977.0,
+      "step": 420
+    },
+    {
+      "entropy": 6.820244407653808,
+      "epoch": 0.352112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000212,
+      "loss": 6.6243,
+      "mean_token_accuracy": 0.1011092983186245,
+      "num_tokens": 780285.0,
+      "step": 425
+    },
+    {
+      "entropy": 6.956075525283813,
+      "epoch": 0.35625517812758906,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002145,
+      "loss": 6.6593,
+      "mean_token_accuracy": 0.09649045094847679,
+      "num_tokens": 789980.0,
+      "step": 430
+    },
+    {
+      "entropy": 6.984846019744873,
+      "epoch": 0.3603976801988401,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021700000000000002,
+      "loss": 6.6275,
+      "mean_token_accuracy": 0.10474459528923034,
+      "num_tokens": 798700.0,
+      "step": 435
+    },
+    {
+      "entropy": 6.767291498184204,
+      "epoch": 0.36454018227009116,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002195,
+      "loss": 6.7208,
+      "mean_token_accuracy": 0.09600067660212516,
+      "num_tokens": 808758.0,
+      "step": 440
+    },
+    {
+      "entropy": 7.046369791030884,
+      "epoch": 0.36868268434134216,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000222,
+      "loss": 6.6666,
+      "mean_token_accuracy": 0.10458802133798599,
+      "num_tokens": 817692.0,
+      "step": 445
+    },
+    {
+      "entropy": 6.95425066947937,
+      "epoch": 0.3728251864125932,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002245,
+      "loss": 6.7146,
+      "mean_token_accuracy": 0.10474570766091347,
+      "num_tokens": 827052.0,
+      "step": 450
+    },
+    {
+      "entropy": 6.895345544815063,
+      "epoch": 0.37696768848384427,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00022700000000000002,
+      "loss": 6.7139,
+      "mean_token_accuracy": 0.1091882586479187,
+      "num_tokens": 836442.0,
+      "step": 455
+    },
+    {
+      "entropy": 6.922871923446655,
+      "epoch": 0.38111019055509526,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00022950000000000002,
+      "loss": 6.5775,
+      "mean_token_accuracy": 0.10118989571928978,
+      "num_tokens": 846441.0,
+      "step": 460
+    },
+    {
+      "entropy": 6.8815388679504395,
+      "epoch": 0.3852526926263463,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00023200000000000003,
+      "loss": 6.6215,
+      "mean_token_accuracy": 0.10475475937128068,
+      "num_tokens": 856108.0,
+      "step": 465
+    },
+    {
+      "entropy": 6.848587274551392,
+      "epoch": 0.38939519469759737,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00023449999999999998,
+      "loss": 6.5833,
+      "mean_token_accuracy": 0.10137399956583977,
+      "num_tokens": 865788.0,
+      "step": 470
+    },
+    {
+      "entropy": 6.886804008483887,
+      "epoch": 0.39353769676884837,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000237,
+      "loss": 6.6302,
+      "mean_token_accuracy": 0.09514767676591873,
+      "num_tokens": 874833.0,
+      "step": 475
+    },
+    {
+      "entropy": 6.751422643661499,
+      "epoch": 0.3976801988400994,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002395,
+      "loss": 6.5997,
+      "mean_token_accuracy": 0.10276172533631325,
+      "num_tokens": 883685.0,
+      "step": 480
+    },
+    {
+      "entropy": 6.881311464309692,
+      "epoch": 0.40182270091135047,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000242,
+      "loss": 6.6001,
+      "mean_token_accuracy": 0.09796027019619942,
+      "num_tokens": 893908.0,
+      "step": 485
+    },
+    {
+      "entropy": 6.934821891784668,
+      "epoch": 0.40596520298260147,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002445,
+      "loss": 6.7142,
+      "mean_token_accuracy": 0.09827135354280472,
+      "num_tokens": 903081.0,
+      "step": 490
+    },
+    {
+      "entropy": 6.7868632793426515,
+      "epoch": 0.4101077050538525,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000247,
+      "loss": 6.5522,
+      "mean_token_accuracy": 0.10336750745773315,
+      "num_tokens": 912515.0,
+      "step": 495
+    },
+    {
+      "entropy": 6.886235475540161,
+      "epoch": 0.4142502071251036,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002495,
+      "loss": 6.5797,
+      "mean_token_accuracy": 0.1070313923060894,
+      "num_tokens": 921056.0,
+      "step": 500
+    },
+    {
+      "epoch": 0.4142502071251036,
+      "eval_entropy": 6.836038604728194,
+      "eval_loss": 6.684774875640869,
+      "eval_mean_token_accuracy": 0.10272799217021034,
+      "eval_num_tokens": 921056.0,
+      "eval_runtime": 2.7891,
+      "eval_samples_per_second": 1343.421,
+      "eval_steps_per_second": 168.152,
+      "step": 500
+    },
+    {
+      "entropy": 6.7657403469085695,
+      "epoch": 0.4183927091963546,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000252,
+      "loss": 6.5317,
+      "mean_token_accuracy": 0.10417452603578567,
+      "num_tokens": 931112.0,
+      "step": 505
+    },
+    {
+      "entropy": 6.821895503997803,
+      "epoch": 0.4225352112676056,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0002545,
+      "loss": 6.6605,
+      "mean_token_accuracy": 0.0978618748486042,
+      "num_tokens": 941120.0,
+      "step": 510
+    },
+    {
+      "entropy": 6.886211729049682,
+      "epoch": 0.4266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000257,
+      "loss": 6.6044,
+      "mean_token_accuracy": 0.09737976416945457,
+      "num_tokens": 950041.0,
+      "step": 515
+    },
+    {
+      "entropy": 6.879851579666138,
+      "epoch": 0.43082021541010773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002595,
+      "loss": 6.5907,
+      "mean_token_accuracy": 0.10606569275259972,
+      "num_tokens": 958608.0,
+      "step": 520
+    },
+    {
+      "entropy": 6.886484861373901,
+      "epoch": 0.43496271748135873,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.000262,
+      "loss": 6.7158,
+      "mean_token_accuracy": 0.09990910813212395,
+      "num_tokens": 966901.0,
+      "step": 525
+    },
+    {
+      "entropy": 6.767313003540039,
+      "epoch": 0.4391052195526098,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026450000000000003,
+      "loss": 6.5504,
+      "mean_token_accuracy": 0.10768762230873108,
+      "num_tokens": 976198.0,
+      "step": 530
+    },
+    {
+      "entropy": 6.892781782150268,
+      "epoch": 0.44324772162386084,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026700000000000004,
+      "loss": 6.624,
+      "mean_token_accuracy": 0.09861580505967141,
+      "num_tokens": 985248.0,
+      "step": 535
+    },
+    {
+      "entropy": 6.772344255447388,
+      "epoch": 0.44739022369511183,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00026950000000000005,
+      "loss": 6.5014,
+      "mean_token_accuracy": 0.1071978710591793,
+      "num_tokens": 993289.0,
+      "step": 540
+    },
+    {
+      "entropy": 6.820696449279785,
+      "epoch": 0.4515327257663629,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027200000000000005,
+      "loss": 6.5909,
+      "mean_token_accuracy": 0.10533165782690049,
+      "num_tokens": 1001784.0,
+      "step": 545
+    },
+    {
+      "entropy": 6.935409688949585,
+      "epoch": 0.45567522783761394,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002745,
+      "loss": 6.5627,
+      "mean_token_accuracy": 0.10804210156202317,
+      "num_tokens": 1010445.0,
+      "step": 550
+    },
+    {
+      "entropy": 6.745790100097656,
+      "epoch": 0.45981772990886494,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000277,
+      "loss": 6.6184,
+      "mean_token_accuracy": 0.10709234476089477,
+      "num_tokens": 1019084.0,
+      "step": 555
+    },
+    {
+      "entropy": 6.7490733623504635,
+      "epoch": 0.463960231980116,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002795,
+      "loss": 6.5249,
+      "mean_token_accuracy": 0.10461713373661041,
+      "num_tokens": 1027263.0,
+      "step": 560
+    },
+    {
+      "entropy": 6.876884937286377,
+      "epoch": 0.46810273405136704,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00028199999999999997,
+      "loss": 6.6233,
+      "mean_token_accuracy": 0.09752989709377288,
+      "num_tokens": 1036275.0,
+      "step": 565
+    },
+    {
+      "entropy": 6.765736055374146,
+      "epoch": 0.47224523612261804,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002845,
+      "loss": 6.7015,
+      "mean_token_accuracy": 0.09858408868312836,
+      "num_tokens": 1045208.0,
+      "step": 570
+    },
+    {
+      "entropy": 6.9024957656860355,
+      "epoch": 0.4763877381938691,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000287,
+      "loss": 6.6287,
+      "mean_token_accuracy": 0.1026283286511898,
+      "num_tokens": 1054703.0,
+      "step": 575
+    },
+    {
+      "entropy": 6.647345924377442,
+      "epoch": 0.48053024026512015,
+      "grad_norm": 1.5,
+      "learning_rate": 0.0002895,
+      "loss": 6.4841,
+      "mean_token_accuracy": 0.10212503597140313,
+      "num_tokens": 1063652.0,
+      "step": 580
+    },
+    {
+      "entropy": 6.717900657653809,
+      "epoch": 0.48467274233637114,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000292,
+      "loss": 6.5873,
+      "mean_token_accuracy": 0.10145951434969902,
+      "num_tokens": 1072070.0,
+      "step": 585
+    },
+    {
+      "entropy": 6.997959756851197,
+      "epoch": 0.4888152444076222,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002945,
+      "loss": 6.6143,
+      "mean_token_accuracy": 0.10064447894692422,
+      "num_tokens": 1079992.0,
+      "step": 590
+    },
+    {
+      "entropy": 6.657160854339599,
+      "epoch": 0.49295774647887325,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000297,
+      "loss": 6.628,
+      "mean_token_accuracy": 0.10435748845338821,
+      "num_tokens": 1088862.0,
+      "step": 595
+    },
+    {
+      "entropy": 6.773271942138672,
+      "epoch": 0.4971002485501243,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002995,
+      "loss": 6.4317,
+      "mean_token_accuracy": 0.10795770138502121,
+      "num_tokens": 1097614.0,
+      "step": 600
+    },
+    {
+      "entropy": 6.7102379322052,
+      "epoch": 0.5012427506213754,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000302,
+      "loss": 6.6288,
+      "mean_token_accuracy": 0.10706980749964715,
+      "num_tokens": 1107347.0,
+      "step": 605
+    },
+    {
+      "entropy": 6.8672473430633545,
+      "epoch": 0.5053852526926264,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003045,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10073774978518486,
+      "num_tokens": 1116707.0,
+      "step": 610
+    },
+    {
+      "entropy": 6.764383840560913,
+      "epoch": 0.5095277547638773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000307,
+      "loss": 6.6549,
+      "mean_token_accuracy": 0.10234303548932075,
+      "num_tokens": 1126356.0,
+      "step": 615
+    },
+    {
+      "entropy": 6.787193298339844,
+      "epoch": 0.5136702568351285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003095,
+      "loss": 6.5847,
+      "mean_token_accuracy": 0.10079671740531922,
+      "num_tokens": 1136281.0,
+      "step": 620
+    },
+    {
+      "entropy": 6.713733196258545,
+      "epoch": 0.5178127589063795,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000312,
+      "loss": 6.5355,
+      "mean_token_accuracy": 0.10429632142186165,
+      "num_tokens": 1145466.0,
+      "step": 625
+    },
+    {
+      "entropy": 6.7503923892974855,
+      "epoch": 0.5219552609776305,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003145,
+      "loss": 6.5409,
+      "mean_token_accuracy": 0.10918259546160698,
+      "num_tokens": 1154225.0,
+      "step": 630
+    },
+    {
+      "entropy": 6.761834907531738,
+      "epoch": 0.5260977630488816,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000317,
+      "loss": 6.5885,
+      "mean_token_accuracy": 0.09673135951161385,
+      "num_tokens": 1163872.0,
+      "step": 635
+    },
+    {
+      "entropy": 6.69431324005127,
+      "epoch": 0.5302402651201326,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003195,
+      "loss": 6.5244,
+      "mean_token_accuracy": 0.10705070868134499,
+      "num_tokens": 1172695.0,
+      "step": 640
+    },
+    {
+      "entropy": 6.651590061187744,
+      "epoch": 0.5343827671913836,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000322,
+      "loss": 6.3962,
+      "mean_token_accuracy": 0.11006554961204529,
+      "num_tokens": 1181291.0,
+      "step": 645
+    },
+    {
+      "entropy": 6.782713270187378,
+      "epoch": 0.5385252692626347,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00032450000000000003,
+      "loss": 6.5715,
+      "mean_token_accuracy": 0.10394523739814758,
+      "num_tokens": 1189927.0,
+      "step": 650
+    },
+    {
+      "entropy": 6.705166435241699,
+      "epoch": 0.5426677713338857,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00032700000000000003,
+      "loss": 6.5043,
+      "mean_token_accuracy": 0.10940467119216919,
+      "num_tokens": 1197913.0,
+      "step": 655
+    },
+    {
+      "entropy": 6.670699262619019,
+      "epoch": 0.5468102734051367,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032950000000000004,
+      "loss": 6.4309,
+      "mean_token_accuracy": 0.11147961542010307,
+      "num_tokens": 1207032.0,
+      "step": 660
+    },
+    {
+      "entropy": 6.640204334259034,
+      "epoch": 0.5509527754763878,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00033200000000000005,
+      "loss": 6.5397,
+      "mean_token_accuracy": 0.10571447387337685,
+      "num_tokens": 1215710.0,
+      "step": 665
+    },
+    {
+      "entropy": 6.694819068908691,
+      "epoch": 0.5550952775476388,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033450000000000005,
+      "loss": 6.52,
+      "mean_token_accuracy": 0.10049431845545768,
+      "num_tokens": 1225619.0,
+      "step": 670
+    },
+    {
+      "entropy": 6.649594163894653,
+      "epoch": 0.5592377796188898,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000337,
+      "loss": 6.4407,
+      "mean_token_accuracy": 0.11157044768333435,
+      "num_tokens": 1235000.0,
+      "step": 675
+    },
+    {
+      "entropy": 6.612611961364746,
+      "epoch": 0.5633802816901409,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003395,
+      "loss": 6.4462,
+      "mean_token_accuracy": 0.108580531924963,
+      "num_tokens": 1243594.0,
+      "step": 680
+    },
+    {
+      "entropy": 6.843221950531006,
+      "epoch": 0.5675227837613919,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000342,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10460855960845947,
+      "num_tokens": 1252279.0,
+      "step": 685
+    },
+    {
+      "entropy": 6.760235929489136,
+      "epoch": 0.5716652858326429,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034449999999999997,
+      "loss": 6.559,
+      "mean_token_accuracy": 0.10665302500128745,
+      "num_tokens": 1261314.0,
+      "step": 690
+    },
+    {
+      "entropy": 6.55326566696167,
+      "epoch": 0.575807787903894,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000347,
+      "loss": 6.4337,
+      "mean_token_accuracy": 0.11188110187649727,
+      "num_tokens": 1270854.0,
+      "step": 695
+    },
+    {
+      "entropy": 6.618375587463379,
+      "epoch": 0.579950289975145,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003495,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.11392810270190239,
+      "num_tokens": 1279183.0,
+      "step": 700
+    },
+    {
+      "entropy": 6.626208257675171,
+      "epoch": 0.584092792046396,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000352,
+      "loss": 6.5015,
+      "mean_token_accuracy": 0.10761247500777245,
+      "num_tokens": 1288347.0,
+      "step": 705
+    },
+    {
+      "entropy": 6.6855669021606445,
+      "epoch": 0.5882352941176471,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003545,
+      "loss": 6.5036,
+      "mean_token_accuracy": 0.10823310390114785,
+      "num_tokens": 1297449.0,
+      "step": 710
+    },
+    {
+      "entropy": 6.710147094726563,
+      "epoch": 0.5923777961888981,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000357,
+      "loss": 6.4688,
+      "mean_token_accuracy": 0.10904998034238815,
+      "num_tokens": 1306232.0,
+      "step": 715
+    },
+    {
+      "entropy": 6.6553794860839846,
+      "epoch": 0.5965202982601492,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003595,
+      "loss": 6.4857,
+      "mean_token_accuracy": 0.11109372302889824,
+      "num_tokens": 1315073.0,
+      "step": 720
+    },
+    {
+      "entropy": 6.674065732955933,
+      "epoch": 0.6006628003314002,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000362,
+      "loss": 6.5301,
+      "mean_token_accuracy": 0.10648825243115426,
+      "num_tokens": 1324629.0,
+      "step": 725
+    },
+    {
+      "entropy": 6.700368881225586,
+      "epoch": 0.6048053024026512,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0003645,
+      "loss": 6.6444,
+      "mean_token_accuracy": 0.10443340390920638,
+      "num_tokens": 1334152.0,
+      "step": 730
+    },
+    {
+      "entropy": 6.779498624801636,
+      "epoch": 0.6089478044739023,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000367,
+      "loss": 6.5946,
+      "mean_token_accuracy": 0.10130336955189705,
+      "num_tokens": 1343063.0,
+      "step": 735
+    },
+    {
+      "entropy": 6.684298419952393,
+      "epoch": 0.6130903065451533,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0003695,
+      "loss": 6.5241,
+      "mean_token_accuracy": 0.10516620799899101,
+      "num_tokens": 1352632.0,
+      "step": 740
+    },
+    {
+      "entropy": 6.582866573333741,
+      "epoch": 0.6172328086164043,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000372,
+      "loss": 6.4712,
+      "mean_token_accuracy": 0.10765027329325676,
+      "num_tokens": 1361103.0,
+      "step": 745
+    },
+    {
+      "entropy": 6.643687963485718,
+      "epoch": 0.6213753106876554,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003745,
+      "loss": 6.4642,
+      "mean_token_accuracy": 0.10832677409052849,
+      "num_tokens": 1370658.0,
+      "step": 750
+    },
+    {
+      "entropy": 6.64506516456604,
+      "epoch": 0.6255178127589064,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000377,
+      "loss": 6.4878,
+      "mean_token_accuracy": 0.10808288529515267,
+      "num_tokens": 1379817.0,
+      "step": 755
+    },
+    {
+      "entropy": 6.640752458572388,
+      "epoch": 0.6296603148301574,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003795,
+      "loss": 6.4418,
+      "mean_token_accuracy": 0.10874675288796425,
+      "num_tokens": 1389329.0,
+      "step": 760
+    },
+    {
+      "entropy": 6.4627049446105955,
+      "epoch": 0.6338028169014085,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000382,
+      "loss": 6.4902,
+      "mean_token_accuracy": 0.10606684386730195,
+      "num_tokens": 1399279.0,
+      "step": 765
+    },
+    {
+      "entropy": 6.621781063079834,
+      "epoch": 0.6379453189726595,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003845,
+      "loss": 6.4146,
+      "mean_token_accuracy": 0.11267002299427986,
+      "num_tokens": 1408765.0,
+      "step": 770
+    },
+    {
+      "entropy": 6.736465692520142,
+      "epoch": 0.6420878210439105,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038700000000000003,
+      "loss": 6.5632,
+      "mean_token_accuracy": 0.10607504546642303,
+      "num_tokens": 1418615.0,
+      "step": 775
+    },
+    {
+      "entropy": 6.616378879547119,
+      "epoch": 0.6462303231151616,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038950000000000003,
+      "loss": 6.4664,
+      "mean_token_accuracy": 0.10207068845629692,
+      "num_tokens": 1427359.0,
+      "step": 780
+    },
+    {
+      "entropy": 6.70065336227417,
+      "epoch": 0.6503728251864126,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00039200000000000004,
+      "loss": 6.622,
+      "mean_token_accuracy": 0.1116428442299366,
+      "num_tokens": 1435516.0,
+      "step": 785
+    },
+    {
+      "entropy": 6.709064102172851,
+      "epoch": 0.6545153272576636,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00039450000000000005,
+      "loss": 6.5704,
+      "mean_token_accuracy": 0.10583743155002594,
+      "num_tokens": 1444438.0,
+      "step": 790
+    },
+    {
+      "entropy": 6.671351766586303,
+      "epoch": 0.6586578293289147,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00039700000000000005,
+      "loss": 6.4996,
+      "mean_token_accuracy": 0.11326526403427124,
+      "num_tokens": 1453740.0,
+      "step": 795
+    },
+    {
+      "entropy": 6.614573907852173,
+      "epoch": 0.6628003314001657,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003995,
+      "loss": 6.4874,
+      "mean_token_accuracy": 0.11111863479018211,
+      "num_tokens": 1462083.0,
+      "step": 800
+    },
+    {
+      "entropy": 6.484545516967773,
+      "epoch": 0.6669428334714167,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000402,
+      "loss": 6.4127,
+      "mean_token_accuracy": 0.1100592203438282,
+      "num_tokens": 1471459.0,
+      "step": 805
+    },
+    {
+      "entropy": 6.621589279174804,
+      "epoch": 0.6710853355426678,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004045,
+      "loss": 6.3972,
+      "mean_token_accuracy": 0.11681128293275833,
+      "num_tokens": 1480516.0,
+      "step": 810
+    },
+    {
+      "entropy": 6.421737241744995,
+      "epoch": 0.6752278376139188,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00040699999999999997,
+      "loss": 6.3,
+      "mean_token_accuracy": 0.11318568140268326,
+      "num_tokens": 1489268.0,
+      "step": 815
+    },
+    {
+      "entropy": 6.700246906280517,
+      "epoch": 0.6793703396851698,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004095,
+      "loss": 6.5174,
+      "mean_token_accuracy": 0.11110908538103104,
+      "num_tokens": 1498819.0,
+      "step": 820
+    },
+    {
+      "entropy": 6.622490644454956,
+      "epoch": 0.6835128417564209,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000412,
+      "loss": 6.501,
+      "mean_token_accuracy": 0.11033953949809075,
+      "num_tokens": 1507852.0,
+      "step": 825
+    },
+    {
+      "entropy": 6.59730544090271,
+      "epoch": 0.6876553438276719,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004145,
+      "loss": 6.5302,
+      "mean_token_accuracy": 0.11122860461473465,
+      "num_tokens": 1517538.0,
+      "step": 830
+    },
+    {
+      "entropy": 6.458763217926025,
+      "epoch": 0.6917978458989229,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000417,
+      "loss": 6.4061,
+      "mean_token_accuracy": 0.11324542313814163,
+      "num_tokens": 1525389.0,
+      "step": 835
+    },
+    {
+      "entropy": 6.57511887550354,
+      "epoch": 0.695940347970174,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004195,
+      "loss": 6.3741,
+      "mean_token_accuracy": 0.11116622686386109,
+      "num_tokens": 1534117.0,
+      "step": 840
+    },
+    {
+      "entropy": 6.522304344177246,
+      "epoch": 0.700082850041425,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000422,
+      "loss": 6.4029,
+      "mean_token_accuracy": 0.11315450444817543,
+      "num_tokens": 1542610.0,
+      "step": 845
+    },
+    {
+      "entropy": 6.5175107479095455,
+      "epoch": 0.704225352112676,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004245,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.1143906556069851,
+      "num_tokens": 1551771.0,
+      "step": 850
+    },
+    {
+      "entropy": 6.620167636871338,
+      "epoch": 0.7083678541839271,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.000427,
+      "loss": 6.5779,
+      "mean_token_accuracy": 0.10512799099087715,
+      "num_tokens": 1560231.0,
+      "step": 855
+    },
+    {
+      "entropy": 6.589151382446289,
+      "epoch": 0.7125103562551781,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004295,
+      "loss": 6.5346,
+      "mean_token_accuracy": 0.10532297939062119,
+      "num_tokens": 1569578.0,
+      "step": 860
+    },
+    {
+      "entropy": 6.563750839233398,
+      "epoch": 0.7166528583264291,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000432,
+      "loss": 6.4187,
+      "mean_token_accuracy": 0.11381370946764946,
+      "num_tokens": 1579308.0,
+      "step": 865
+    },
+    {
+      "entropy": 6.597287034988403,
+      "epoch": 0.7207953603976802,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004345,
+      "loss": 6.6081,
+      "mean_token_accuracy": 0.10267190784215927,
+      "num_tokens": 1589506.0,
+      "step": 870
+    },
+    {
+      "entropy": 6.482245397567749,
+      "epoch": 0.7249378624689312,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000437,
+      "loss": 6.3671,
+      "mean_token_accuracy": 0.11368186473846435,
+      "num_tokens": 1598127.0,
+      "step": 875
+    },
+    {
+      "entropy": 6.548954200744629,
+      "epoch": 0.7290803645401823,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004395,
+      "loss": 6.4125,
+      "mean_token_accuracy": 0.11406067088246345,
+      "num_tokens": 1608073.0,
+      "step": 880
+    },
+    {
+      "entropy": 6.551317119598389,
+      "epoch": 0.7332228666114333,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000442,
+      "loss": 6.4304,
+      "mean_token_accuracy": 0.11178040653467178,
+      "num_tokens": 1616272.0,
+      "step": 885
+    },
+    {
+      "entropy": 6.496135663986206,
+      "epoch": 0.7373653686826843,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004445,
+      "loss": 6.447,
+      "mean_token_accuracy": 0.10845504105091094,
+      "num_tokens": 1625577.0,
+      "step": 890
+    },
+    {
+      "entropy": 6.685812950134277,
+      "epoch": 0.7415078707539354,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000447,
+      "loss": 6.533,
+      "mean_token_accuracy": 0.10158233270049095,
+      "num_tokens": 1634902.0,
+      "step": 895
+    },
+    {
+      "entropy": 6.520436191558838,
+      "epoch": 0.7456503728251864,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00044950000000000003,
+      "loss": 6.4674,
+      "mean_token_accuracy": 0.10865833014249801,
+      "num_tokens": 1644131.0,
+      "step": 900
+    },
+    {
+      "entropy": 6.461379718780518,
+      "epoch": 0.7497928748964374,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00045200000000000004,
+      "loss": 6.3694,
+      "mean_token_accuracy": 0.12158194407820702,
+      "num_tokens": 1652272.0,
+      "step": 905
+    },
+    {
+      "entropy": 6.533070278167725,
+      "epoch": 0.7539353769676885,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00045450000000000004,
+      "loss": 6.4632,
+      "mean_token_accuracy": 0.11447574123740197,
+      "num_tokens": 1660962.0,
+      "step": 910
+    },
+    {
+      "entropy": 6.475569725036621,
+      "epoch": 0.7580778790389395,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045700000000000005,
+      "loss": 6.4006,
+      "mean_token_accuracy": 0.11205699220299721,
+      "num_tokens": 1670570.0,
+      "step": 915
+    },
+    {
+      "entropy": 6.526782608032226,
+      "epoch": 0.7622203811101905,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00045950000000000006,
+      "loss": 6.4497,
+      "mean_token_accuracy": 0.1096197433769703,
+      "num_tokens": 1679674.0,
+      "step": 920
+    },
+    {
+      "entropy": 6.530770015716553,
+      "epoch": 0.7663628831814416,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000462,
+      "loss": 6.4324,
+      "mean_token_accuracy": 0.11466658413410187,
+      "num_tokens": 1688849.0,
+      "step": 925
+    },
+    {
+      "entropy": 6.4163538932800295,
+      "epoch": 0.7705053852526926,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004645,
+      "loss": 6.3128,
+      "mean_token_accuracy": 0.1098814107477665,
+      "num_tokens": 1698565.0,
+      "step": 930
+    },
+    {
+      "entropy": 6.5036052703857425,
+      "epoch": 0.7746478873239436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000467,
+      "loss": 6.3986,
+      "mean_token_accuracy": 0.11683695837855339,
+      "num_tokens": 1708009.0,
+      "step": 935
+    },
+    {
+      "entropy": 6.518198871612549,
+      "epoch": 0.7787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004695,
+      "loss": 6.3878,
+      "mean_token_accuracy": 0.1126109592616558,
+      "num_tokens": 1716497.0,
+      "step": 940
+    },
+    {
+      "entropy": 6.415347719192505,
+      "epoch": 0.7829328914664457,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000472,
+      "loss": 6.4082,
+      "mean_token_accuracy": 0.12070046439766884,
+      "num_tokens": 1725609.0,
+      "step": 945
+    },
+    {
+      "entropy": 6.477306175231933,
+      "epoch": 0.7870753935376967,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004745,
+      "loss": 6.3456,
+      "mean_token_accuracy": 0.11454906165599824,
+      "num_tokens": 1734165.0,
+      "step": 950
+    },
+    {
+      "entropy": 6.454520893096924,
+      "epoch": 0.7912178956089478,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000477,
+      "loss": 6.4546,
+      "mean_token_accuracy": 0.10918105840682983,
+      "num_tokens": 1744856.0,
+      "step": 955
+    },
+    {
+      "entropy": 6.4711943626403805,
+      "epoch": 0.7953603976801988,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004795,
+      "loss": 6.4509,
+      "mean_token_accuracy": 0.10578904524445534,
+      "num_tokens": 1753386.0,
+      "step": 960
+    },
+    {
+      "entropy": 6.4536961078643795,
+      "epoch": 0.7995028997514498,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000482,
+      "loss": 6.3053,
+      "mean_token_accuracy": 0.11872726455330848,
+      "num_tokens": 1762521.0,
+      "step": 965
+    },
+    {
+      "entropy": 6.34936490058899,
+      "epoch": 0.8036454018227009,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004845,
+      "loss": 6.3765,
+      "mean_token_accuracy": 0.11444728896021843,
+      "num_tokens": 1772403.0,
+      "step": 970
+    },
+    {
+      "entropy": 6.375087881088257,
+      "epoch": 0.8077879038939519,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000487,
+      "loss": 6.2884,
+      "mean_token_accuracy": 0.11179185584187508,
+      "num_tokens": 1780924.0,
+      "step": 975
+    },
+    {
+      "entropy": 6.547906732559204,
+      "epoch": 0.8119304059652029,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004895,
+      "loss": 6.4367,
+      "mean_token_accuracy": 0.11225800514221192,
+      "num_tokens": 1789992.0,
+      "step": 980
+    },
+    {
+      "entropy": 6.421040678024292,
+      "epoch": 0.816072908036454,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000492,
+      "loss": 6.3919,
+      "mean_token_accuracy": 0.11761699616909027,
+      "num_tokens": 1799513.0,
+      "step": 985
+    },
+    {
+      "entropy": 6.332476711273193,
+      "epoch": 0.820215410107705,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0004945,
+      "loss": 6.2287,
+      "mean_token_accuracy": 0.11279567033052444,
+      "num_tokens": 1807393.0,
+      "step": 990
+    },
+    {
+      "entropy": 6.438618326187134,
+      "epoch": 0.824357912178956,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000497,
+      "loss": 6.5079,
+      "mean_token_accuracy": 0.10579989776015282,
+      "num_tokens": 1817284.0,
+      "step": 995
+    },
+    {
+      "entropy": 6.449818515777588,
+      "epoch": 0.8285004142502072,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004995,
+      "loss": 6.2996,
+      "mean_token_accuracy": 0.11799877136945724,
+      "num_tokens": 1825591.0,
+      "step": 1000
+    },
+    {
+      "epoch": 0.8285004142502072,
+      "eval_entropy": 6.222835092402216,
+      "eval_loss": 6.475013256072998,
+      "eval_mean_token_accuracy": 0.11269166863866961,
+      "eval_num_tokens": 1825591.0,
+      "eval_runtime": 2.7611,
+      "eval_samples_per_second": 1357.068,
+      "eval_steps_per_second": 169.86,
+      "step": 1000
+    },
+    {
+      "entropy": 6.457831478118896,
+      "epoch": 0.8326429163214581,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0004999998547681232,
+      "loss": 6.3959,
+      "mean_token_accuracy": 0.11798396334052086,
+      "num_tokens": 1834655.0,
+      "step": 1005
+    },
+    {
+      "entropy": 6.26599349975586,
+      "epoch": 0.8367854183927091,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004999992647639447,
+      "loss": 6.2578,
+      "mean_token_accuracy": 0.11858200430870056,
+      "num_tokens": 1844187.0,
+      "step": 1010
+    },
+    {
+      "entropy": 6.415271520614624,
+      "epoch": 0.8409279204639603,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999982209116618,
+      "loss": 6.3345,
+      "mean_token_accuracy": 0.11406200677156449,
+      "num_tokens": 1852768.0,
+      "step": 1015
+    },
+    {
+      "entropy": 6.355557584762574,
+      "epoch": 0.8450704225352113,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004999967232133796,
+      "loss": 6.3913,
+      "mean_token_accuracy": 0.12348653748631477,
+      "num_tokens": 1862095.0,
+      "step": 1020
+    },
+    {
+      "entropy": 6.427043008804321,
+      "epoch": 0.8492129246064622,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004999947716721196,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.10961534604430198,
+      "num_tokens": 1871239.0,
+      "step": 1025
+    },
+    {
+      "entropy": 6.509608554840088,
+      "epoch": 0.8533554266777134,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004999923662918179,
+      "loss": 6.4323,
+      "mean_token_accuracy": 0.11334251016378402,
+      "num_tokens": 1880065.0,
+      "step": 1030
+    },
+    {
+      "entropy": 6.417975521087646,
+      "epoch": 0.8574979287489644,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999895070773266,
+      "loss": 6.4608,
+      "mean_token_accuracy": 0.10985229611396789,
+      "num_tokens": 1889065.0,
+      "step": 1035
+    },
+    {
+      "entropy": 6.429206514358521,
+      "epoch": 0.8616404308202155,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999861940344129,
+      "loss": 6.4721,
+      "mean_token_accuracy": 0.11190373301506043,
+      "num_tokens": 1898238.0,
+      "step": 1040
+    },
+    {
+      "entropy": 6.462369585037232,
+      "epoch": 0.8657829328914665,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004999824271697597,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.12136606723070145,
+      "num_tokens": 1906780.0,
+      "step": 1045
+    },
+    {
+      "entropy": 6.506088638305664,
+      "epoch": 0.8699254349627175,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000499978206490965,
+      "loss": 6.4745,
+      "mean_token_accuracy": 0.11197563111782075,
+      "num_tokens": 1916183.0,
+      "step": 1050
+    },
+    {
+      "entropy": 6.427097368240356,
+      "epoch": 0.8740679370339686,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999735320065427,
+      "loss": 6.3371,
+      "mean_token_accuracy": 0.11927392706274986,
+      "num_tokens": 1925382.0,
+      "step": 1055
+    },
+    {
+      "entropy": 6.292429256439209,
+      "epoch": 0.8782104391052196,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999684037259216,
+      "loss": 6.1827,
+      "mean_token_accuracy": 0.1270924136042595,
+      "num_tokens": 1933639.0,
+      "step": 1060
+    },
+    {
+      "entropy": 6.3600146770477295,
+      "epoch": 0.8823529411764706,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999628216594456,
+      "loss": 6.464,
+      "mean_token_accuracy": 0.11409285366535186,
+      "num_tokens": 1943044.0,
+      "step": 1065
+    },
+    {
+      "entropy": 6.460871028900146,
+      "epoch": 0.8864954432477217,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000499956785818375,
+      "loss": 6.303,
+      "mean_token_accuracy": 0.11871922463178634,
+      "num_tokens": 1951777.0,
+      "step": 1070
+    },
+    {
+      "entropy": 6.376981210708618,
+      "epoch": 0.8906379453189727,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004999502962148843,
+      "loss": 6.3666,
+      "mean_token_accuracy": 0.1170460693538189,
+      "num_tokens": 1961356.0,
+      "step": 1075
+    },
+    {
+      "entropy": 6.439280414581299,
+      "epoch": 0.8947804473902237,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000499943352862064,
+      "loss": 6.4248,
+      "mean_token_accuracy": 0.11459407210350037,
+      "num_tokens": 1970341.0,
+      "step": 1080
+    },
+    {
+      "entropy": 6.394289827346801,
+      "epoch": 0.8989229494614748,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004999359557739194,
+      "loss": 6.2796,
+      "mean_token_accuracy": 0.12198276743292809,
+      "num_tokens": 1978576.0,
+      "step": 1085
+    },
+    {
+      "entropy": 6.319045782089233,
+      "epoch": 0.9030654515327258,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004999281049653713,
+      "loss": 6.3227,
+      "mean_token_accuracy": 0.11601013913750649,
+      "num_tokens": 1987229.0,
+      "step": 1090
+    },
+    {
+      "entropy": 6.376017141342163,
+      "epoch": 0.9072079536039768,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999198004522557,
+      "loss": 6.261,
+      "mean_token_accuracy": 0.12269015237689018,
+      "num_tokens": 1996473.0,
+      "step": 1095
+    },
+    {
+      "entropy": 6.2405853271484375,
+      "epoch": 0.9113504556752279,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999110422513237,
+      "loss": 6.286,
+      "mean_token_accuracy": 0.12056776732206345,
+      "num_tokens": 2005551.0,
+      "step": 1100
+    },
+    {
+      "entropy": 6.398191165924072,
+      "epoch": 0.9154929577464789,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999018303802414,
+      "loss": 6.3869,
+      "mean_token_accuracy": 0.11947718560695648,
+      "num_tokens": 2015012.0,
+      "step": 1105
+    },
+    {
+      "entropy": 6.374700450897217,
+      "epoch": 0.9196354598177299,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004998921648575904,
+      "loss": 6.3999,
+      "mean_token_accuracy": 0.1203969657421112,
+      "num_tokens": 2024435.0,
+      "step": 1110
+    },
+    {
+      "entropy": 6.380674362182617,
+      "epoch": 0.923777961888981,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004998820457028669,
+      "loss": 6.3005,
+      "mean_token_accuracy": 0.12089794874191284,
+      "num_tokens": 2033991.0,
+      "step": 1115
+    },
+    {
+      "entropy": 6.409522771835327,
+      "epoch": 0.927920463960232,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998714729364824,
+      "loss": 6.3017,
+      "mean_token_accuracy": 0.1228084571659565,
+      "num_tokens": 2043117.0,
+      "step": 1120
+    },
+    {
+      "entropy": 6.326260423660278,
+      "epoch": 0.932062966031483,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004998604465797634,
+      "loss": 6.3305,
+      "mean_token_accuracy": 0.11992078274488449,
+      "num_tokens": 2052304.0,
+      "step": 1125
+    },
+    {
+      "entropy": 6.251798295974732,
+      "epoch": 0.9362054681027341,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998489666549512,
+      "loss": 6.2779,
+      "mean_token_accuracy": 0.12114684730768203,
+      "num_tokens": 2061217.0,
+      "step": 1130
+    },
+    {
+      "entropy": 6.319644594192505,
+      "epoch": 0.9403479701739851,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.0004998370331852021,
+      "loss": 6.2517,
+      "mean_token_accuracy": 0.11879112273454666,
+      "num_tokens": 2070796.0,
+      "step": 1135
+    },
+    {
+      "entropy": 6.465651321411133,
+      "epoch": 0.9444904722452361,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004998246461945872,
+      "loss": 6.4037,
+      "mean_token_accuracy": 0.12191760018467904,
+      "num_tokens": 2080202.0,
+      "step": 1140
+    },
+    {
+      "entropy": 6.320812797546386,
+      "epoch": 0.9486329743164872,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004998118057080923,
+      "loss": 6.3045,
+      "mean_token_accuracy": 0.11891168132424354,
+      "num_tokens": 2089788.0,
+      "step": 1145
+    },
+    {
+      "entropy": 6.301202344894409,
+      "epoch": 0.9527754763877382,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004997985117516183,
+      "loss": 6.3462,
+      "mean_token_accuracy": 0.11142431199550629,
+      "num_tokens": 2098727.0,
+      "step": 1150
+    },
+    {
+      "entropy": 6.344118309020996,
+      "epoch": 0.9569179784589892,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997847643519803,
+      "loss": 6.226,
+      "mean_token_accuracy": 0.11924557387828827,
+      "num_tokens": 2107645.0,
+      "step": 1155
+    },
+    {
+      "entropy": 6.1790977954864506,
+      "epoch": 0.9610604805302403,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997705635369085,
+      "loss": 6.1991,
+      "mean_token_accuracy": 0.11988648250699044,
+      "num_tokens": 2116613.0,
+      "step": 1160
+    },
+    {
+      "entropy": 6.284418439865112,
+      "epoch": 0.9652029826014913,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004997559093350474,
+      "loss": 6.1881,
+      "mean_token_accuracy": 0.12116428092122078,
+      "num_tokens": 2125585.0,
+      "step": 1165
+    },
+    {
+      "entropy": 6.396596622467041,
+      "epoch": 0.9693454846727423,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004997408017759562,
+      "loss": 6.3359,
+      "mean_token_accuracy": 0.11936862170696258,
+      "num_tokens": 2134795.0,
+      "step": 1170
+    },
+    {
+      "entropy": 6.273751878738404,
+      "epoch": 0.9734879867439934,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004997252408901084,
+      "loss": 6.3271,
+      "mean_token_accuracy": 0.11899949684739113,
+      "num_tokens": 2143699.0,
+      "step": 1175
+    },
+    {
+      "entropy": 6.386678028106689,
+      "epoch": 0.9776304888152444,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004997092267088922,
+      "loss": 6.2707,
+      "mean_token_accuracy": 0.11861606612801552,
+      "num_tokens": 2152187.0,
+      "step": 1180
+    },
+    {
+      "entropy": 6.275117111206055,
+      "epoch": 0.9817729908864954,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004996927592646097,
+      "loss": 6.3412,
+      "mean_token_accuracy": 0.11767763197422028,
+      "num_tokens": 2160941.0,
+      "step": 1185
+    },
+    {
+      "entropy": 6.339710283279419,
+      "epoch": 0.9859154929577465,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004996758385904776,
+      "loss": 6.3119,
+      "mean_token_accuracy": 0.11789651140570641,
+      "num_tokens": 2168946.0,
+      "step": 1190
+    },
+    {
+      "entropy": 6.181374216079712,
+      "epoch": 0.9900579950289975,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004996584647206269,
+      "loss": 6.2237,
+      "mean_token_accuracy": 0.12055367529392243,
+      "num_tokens": 2177662.0,
+      "step": 1195
+    },
+    {
+      "entropy": 6.316773986816406,
+      "epoch": 0.9942004971002486,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004996406376901026,
+      "loss": 6.3268,
+      "mean_token_accuracy": 0.12757316455245019,
+      "num_tokens": 2187461.0,
+      "step": 1200
+    },
+    {
+      "entropy": 6.283385133743286,
+      "epoch": 0.9983429991714996,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004996223575348635,
+      "loss": 6.2207,
+      "mean_token_accuracy": 0.12578138560056687,
+      "num_tokens": 2196878.0,
+      "step": 1205
+    },
+    {
+      "entropy": 6.311019659042358,
+      "epoch": 1.0024855012427507,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004996036242917828,
+      "loss": 6.2021,
+      "mean_token_accuracy": 0.1151522897183895,
+      "num_tokens": 2206178.0,
+      "step": 1210
+    },
+    {
+      "entropy": 6.25421667098999,
+      "epoch": 1.0066280033140016,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004995844379986476,
+      "loss": 6.0526,
+      "mean_token_accuracy": 0.12476176023483276,
+      "num_tokens": 2215330.0,
+      "step": 1215
+    },
+    {
+      "entropy": 6.309921216964722,
+      "epoch": 1.0107705053852527,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004995647986941587,
+      "loss": 6.0354,
+      "mean_token_accuracy": 0.13005029112100602,
+      "num_tokens": 2224146.0,
+      "step": 1220
+    },
+    {
+      "entropy": 6.241363286972046,
+      "epoch": 1.0149130074565038,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004995447064179308,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13421598002314566,
+      "num_tokens": 2233646.0,
+      "step": 1225
+    },
+    {
+      "entropy": 6.058859920501709,
+      "epoch": 1.0190555095277547,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.000499524161210492,
+      "loss": 5.9379,
+      "mean_token_accuracy": 0.12560308948159218,
+      "num_tokens": 2243663.0,
+      "step": 1230
+    },
+    {
+      "entropy": 6.270004224777222,
+      "epoch": 1.0231980115990058,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004995031631132844,
+      "loss": 6.1035,
+      "mean_token_accuracy": 0.13170127123594283,
+      "num_tokens": 2252564.0,
+      "step": 1235
+    },
+    {
+      "entropy": 6.2710247993469235,
+      "epoch": 1.027340513670257,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004994817121686633,
+      "loss": 6.099,
+      "mean_token_accuracy": 0.12465815395116805,
+      "num_tokens": 2262504.0,
+      "step": 1240
+    },
+    {
+      "entropy": 6.193396997451782,
+      "epoch": 1.0314830157415078,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004994598084198979,
+      "loss": 5.9843,
+      "mean_token_accuracy": 0.1374910719692707,
+      "num_tokens": 2270553.0,
+      "step": 1245
+    },
+    {
+      "entropy": 6.136552810668945,
+      "epoch": 1.035625517812759,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004994374519111701,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.1272726461291313,
+      "num_tokens": 2279319.0,
+      "step": 1250
+    },
+    {
+      "entropy": 6.217378282546997,
+      "epoch": 1.03976801988401,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004994146426875757,
+      "loss": 6.123,
+      "mean_token_accuracy": 0.126935476064682,
+      "num_tokens": 2288749.0,
+      "step": 1255
+    },
+    {
+      "entropy": 6.218695068359375,
+      "epoch": 1.043910521955261,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004993913807951232,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.12562426924705505,
+      "num_tokens": 2298272.0,
+      "step": 1260
+    },
+    {
+      "entropy": 6.221994352340698,
+      "epoch": 1.048053024026512,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004993676662807345,
+      "loss": 6.047,
+      "mean_token_accuracy": 0.12884460240602494,
+      "num_tokens": 2307230.0,
+      "step": 1265
+    },
+    {
+      "entropy": 6.183428144454956,
+      "epoch": 1.0521955260977631,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004993434991922443,
+      "loss": 6.1317,
+      "mean_token_accuracy": 0.12460145726799965,
+      "num_tokens": 2316306.0,
+      "step": 1270
+    },
+    {
+      "entropy": 6.22090425491333,
+      "epoch": 1.056338028169014,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004993188795784002,
+      "loss": 6.0531,
+      "mean_token_accuracy": 0.1241947129368782,
+      "num_tokens": 2325672.0,
+      "step": 1275
+    },
+    {
+      "entropy": 6.1453857421875,
+      "epoch": 1.0604805302402651,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004992938074888628,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.1274007849395275,
+      "num_tokens": 2335251.0,
+      "step": 1280
+    },
+    {
+      "entropy": 6.180039167404175,
+      "epoch": 1.0646230323115162,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004992682829742052,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.1308726042509079,
+      "num_tokens": 2344054.0,
+      "step": 1285
+    },
+    {
+      "entropy": 6.086296463012696,
+      "epoch": 1.0687655343827671,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004992423060859132,
+      "loss": 6.0236,
+      "mean_token_accuracy": 0.127706591039896,
+      "num_tokens": 2353493.0,
+      "step": 1290
+    },
+    {
+      "entropy": 6.223158740997315,
+      "epoch": 1.0729080364540182,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004992158768763849,
+      "loss": 6.1321,
+      "mean_token_accuracy": 0.12850543335080147,
+      "num_tokens": 2362687.0,
+      "step": 1295
+    },
+    {
+      "entropy": 6.2506636619567875,
+      "epoch": 1.0770505385252693,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004991889953989308,
+      "loss": 6.0965,
+      "mean_token_accuracy": 0.12563316524028778,
+      "num_tokens": 2372325.0,
+      "step": 1300
+    },
+    {
+      "entropy": 6.173602199554443,
+      "epoch": 1.0811930405965202,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004991616617077741,
+      "loss": 6.12,
+      "mean_token_accuracy": 0.1287991665303707,
+      "num_tokens": 2381987.0,
+      "step": 1305
+    },
+    {
+      "entropy": 6.307486963272095,
+      "epoch": 1.0853355426677713,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004991338758580496,
+      "loss": 6.0234,
+      "mean_token_accuracy": 0.13178783878684044,
+      "num_tokens": 2390901.0,
+      "step": 1310
+    },
+    {
+      "entropy": 6.034789133071899,
+      "epoch": 1.0894780447390224,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004991056379058045,
+      "loss": 6.0813,
+      "mean_token_accuracy": 0.12450421676039695,
+      "num_tokens": 2400756.0,
+      "step": 1315
+    },
+    {
+      "entropy": 6.188017988204956,
+      "epoch": 1.0936205468102733,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004990769479079976,
+      "loss": 5.9232,
+      "mean_token_accuracy": 0.12984196096658707,
+      "num_tokens": 2409526.0,
+      "step": 1320
+    },
+    {
+      "entropy": 6.086554956436157,
+      "epoch": 1.0977630488815244,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004990478059225003,
+      "loss": 6.0931,
+      "mean_token_accuracy": 0.12972966134548186,
+      "num_tokens": 2419583.0,
+      "step": 1325
+    },
+    {
+      "entropy": 6.2457873821258545,
+      "epoch": 1.1019055509527755,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004990182120080945,
+      "loss": 6.0338,
+      "mean_token_accuracy": 0.12990806251764297,
+      "num_tokens": 2429439.0,
+      "step": 1330
+    },
+    {
+      "entropy": 6.078778219223023,
+      "epoch": 1.1060480530240264,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004989881662244748,
+      "loss": 6.0416,
+      "mean_token_accuracy": 0.12380676046013832,
+      "num_tokens": 2438467.0,
+      "step": 1335
+    },
+    {
+      "entropy": 6.138932418823242,
+      "epoch": 1.1101905550952775,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004989576686322468,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.1332716926932335,
+      "num_tokens": 2446619.0,
+      "step": 1340
+    },
+    {
+      "entropy": 6.1281578540802,
+      "epoch": 1.1143330571665286,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004989267192929272,
+      "loss": 6.0379,
+      "mean_token_accuracy": 0.12955363765358924,
+      "num_tokens": 2454998.0,
+      "step": 1345
+    },
+    {
+      "entropy": 6.09554443359375,
+      "epoch": 1.1184755592377795,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004988953182689445,
+      "loss": 6.0072,
+      "mean_token_accuracy": 0.13532012328505516,
+      "num_tokens": 2463497.0,
+      "step": 1350
+    },
+    {
+      "entropy": 6.134703922271728,
+      "epoch": 1.1226180613090306,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004988634656236378,
+      "loss": 5.9216,
+      "mean_token_accuracy": 0.13609320148825646,
+      "num_tokens": 2471763.0,
+      "step": 1355
+    },
+    {
+      "entropy": 6.145527791976929,
+      "epoch": 1.1267605633802817,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004988311614212576,
+      "loss": 6.0016,
+      "mean_token_accuracy": 0.1402701161801815,
+      "num_tokens": 2479949.0,
+      "step": 1360
+    },
+    {
+      "entropy": 6.116470623016357,
+      "epoch": 1.1309030654515326,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004987984057269648,
+      "loss": 6.0539,
+      "mean_token_accuracy": 0.13444141745567323,
+      "num_tokens": 2489097.0,
+      "step": 1365
+    },
+    {
+      "entropy": 5.972180604934692,
+      "epoch": 1.1350455675227837,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004987651986068311,
+      "loss": 5.8781,
+      "mean_token_accuracy": 0.13601028621196748,
+      "num_tokens": 2497625.0,
+      "step": 1370
+    },
+    {
+      "entropy": 6.143597984313965,
+      "epoch": 1.1391880695940348,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004987315401278394,
+      "loss": 6.1252,
+      "mean_token_accuracy": 0.1272761717438698,
+      "num_tokens": 2507107.0,
+      "step": 1375
+    },
+    {
+      "entropy": 6.286170959472656,
+      "epoch": 1.143330571665286,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004986974303578819,
+      "loss": 6.1408,
+      "mean_token_accuracy": 0.12348597794771195,
+      "num_tokens": 2516629.0,
+      "step": 1380
+    },
+    {
+      "entropy": 6.077923250198364,
+      "epoch": 1.1474730737365368,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004986628693657621,
+      "loss": 6.021,
+      "mean_token_accuracy": 0.1280151717364788,
+      "num_tokens": 2525924.0,
+      "step": 1385
+    },
+    {
+      "entropy": 6.229060649871826,
+      "epoch": 1.151615575807788,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004986278572211933,
+      "loss": 6.1723,
+      "mean_token_accuracy": 0.1280426375567913,
+      "num_tokens": 2535586.0,
+      "step": 1390
+    },
+    {
+      "entropy": 6.189875984191895,
+      "epoch": 1.1557580778790388,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004985923939947987,
+      "loss": 6.2595,
+      "mean_token_accuracy": 0.1247698113322258,
+      "num_tokens": 2546685.0,
+      "step": 1395
+    },
+    {
+      "entropy": 6.148470640182495,
+      "epoch": 1.15990057995029,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004985564797581115,
+      "loss": 5.9681,
+      "mean_token_accuracy": 0.12971177995204924,
+      "num_tokens": 2556873.0,
+      "step": 1400
+    },
+    {
+      "entropy": 6.143459701538086,
+      "epoch": 1.164043082021541,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004985201145835747,
+      "loss": 5.9836,
+      "mean_token_accuracy": 0.13127154856920242,
+      "num_tokens": 2565222.0,
+      "step": 1405
+    },
+    {
+      "entropy": 6.031957960128784,
+      "epoch": 1.1681855840927922,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.000498483298544541,
+      "loss": 5.9875,
+      "mean_token_accuracy": 0.13211632743477822,
+      "num_tokens": 2575467.0,
+      "step": 1410
+    },
+    {
+      "entropy": 6.136318731307983,
+      "epoch": 1.172328086164043,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000498446031715272,
+      "loss": 6.0125,
+      "mean_token_accuracy": 0.13508019223809242,
+      "num_tokens": 2583963.0,
+      "step": 1415
+    },
+    {
+      "entropy": 6.133963680267334,
+      "epoch": 1.1764705882352942,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004984083141709391,
+      "loss": 6.042,
+      "mean_token_accuracy": 0.13524071872234344,
+      "num_tokens": 2593350.0,
+      "step": 1420
+    },
+    {
+      "entropy": 5.975436115264893,
+      "epoch": 1.180613090306545,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000498370145987623,
+      "loss": 5.9652,
+      "mean_token_accuracy": 0.13682079091668128,
+      "num_tokens": 2602191.0,
+      "step": 1425
+    },
+    {
+      "entropy": 6.170718050003051,
+      "epoch": 1.1847555923777962,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004983315272423127,
+      "loss": 6.0999,
+      "mean_token_accuracy": 0.1291058838367462,
+      "num_tokens": 2613590.0,
+      "step": 1430
+    },
+    {
+      "entropy": 6.049332237243652,
+      "epoch": 1.1888980944490473,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004982924580129066,
+      "loss": 5.8895,
+      "mean_token_accuracy": 0.1340464949607849,
+      "num_tokens": 2622072.0,
+      "step": 1435
+    },
+    {
+      "entropy": 6.093293142318726,
+      "epoch": 1.1930405965202984,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004982529383782116,
+      "loss": 6.1012,
+      "mean_token_accuracy": 0.13022035285830497,
+      "num_tokens": 2630904.0,
+      "step": 1440
+    },
+    {
+      "entropy": 6.189996242523193,
+      "epoch": 1.1971830985915493,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004982129684179432,
+      "loss": 6.0594,
+      "mean_token_accuracy": 0.13088259026408194,
+      "num_tokens": 2639925.0,
+      "step": 1445
+    },
+    {
+      "entropy": 6.1187131881713865,
+      "epoch": 1.2013256006628004,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004981725482127251,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.13439981341362,
+      "num_tokens": 2649397.0,
+      "step": 1450
+    },
+    {
+      "entropy": 6.16315655708313,
+      "epoch": 1.2054681027340513,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004981316778440892,
+      "loss": 6.081,
+      "mean_token_accuracy": 0.13515593931078912,
+      "num_tokens": 2658877.0,
+      "step": 1455
+    },
+    {
+      "entropy": 6.063838720321655,
+      "epoch": 1.2096106048053024,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004980903573944756,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13121431767940522,
+      "num_tokens": 2668518.0,
+      "step": 1460
+    },
+    {
+      "entropy": 6.059180212020874,
+      "epoch": 1.2137531068765535,
+      "grad_norm": 1.0078125,
+      "learning_rate": 0.0004980485869472322,
+      "loss": 6.1148,
+      "mean_token_accuracy": 0.12996160089969636,
+      "num_tokens": 2677459.0,
+      "step": 1465
+    },
+    {
+      "entropy": 6.223527908325195,
+      "epoch": 1.2178956089478046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004980063665866143,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12482839822769165,
+      "num_tokens": 2686668.0,
+      "step": 1470
+    },
+    {
+      "entropy": 5.935272264480591,
+      "epoch": 1.2220381110190555,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004979636963977853,
+      "loss": 5.8825,
+      "mean_token_accuracy": 0.1352998949587345,
+      "num_tokens": 2695545.0,
+      "step": 1475
+    },
+    {
+      "entropy": 6.066101598739624,
+      "epoch": 1.2261806130903066,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004979205764668156,
+      "loss": 6.0569,
+      "mean_token_accuracy": 0.13228241056203843,
+      "num_tokens": 2705514.0,
+      "step": 1480
+    },
+    {
+      "entropy": 6.138315343856812,
+      "epoch": 1.2303231151615575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004978770068806825,
+      "loss": 5.9599,
+      "mean_token_accuracy": 0.13136665150523186,
+      "num_tokens": 2714373.0,
+      "step": 1485
+    },
+    {
+      "entropy": 6.061770391464234,
+      "epoch": 1.2344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.000497832987727271,
+      "loss": 6.0715,
+      "mean_token_accuracy": 0.1264137916266918,
+      "num_tokens": 2723887.0,
+      "step": 1490
+    },
+    {
+      "entropy": 6.061756038665772,
+      "epoch": 1.2386081193040597,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004977885190953724,
+      "loss": 5.956,
+      "mean_token_accuracy": 0.13353569880127908,
+      "num_tokens": 2733591.0,
+      "step": 1495
+    },
+    {
+      "entropy": 6.104292392730713,
+      "epoch": 1.2427506213753108,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004977436010746846,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.13720986992120743,
+      "num_tokens": 2741638.0,
+      "step": 1500
+    },
+    {
+      "epoch": 1.2427506213753108,
+      "eval_entropy": 6.029743814773397,
+      "eval_loss": 6.2611613273620605,
+      "eval_mean_token_accuracy": 0.12890694399219332,
+      "eval_num_tokens": 2741638.0,
+      "eval_runtime": 2.9518,
+      "eval_samples_per_second": 1269.399,
+      "eval_steps_per_second": 158.887,
+      "step": 1500
+    },
+    {
+      "entropy": 6.078821802139283,
+      "epoch": 1.2468931234465617,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004976982337558124,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13084649220108985,
+      "num_tokens": 2749711.0,
+      "step": 1505
+    },
+    {
+      "entropy": 6.094208097457885,
+      "epoch": 1.2510356255178128,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004976524172302665,
+      "loss": 6.121,
+      "mean_token_accuracy": 0.13192041367292404,
+      "num_tokens": 2758121.0,
+      "step": 1510
+    },
+    {
+      "entropy": 6.159745693206787,
+      "epoch": 1.2551781275890637,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004976061515904641,
+      "loss": 6.1181,
+      "mean_token_accuracy": 0.12667254582047463,
+      "num_tokens": 2766764.0,
+      "step": 1515
+    },
+    {
+      "entropy": 6.116680526733399,
+      "epoch": 1.2593206296603148,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004975594369297277,
+      "loss": 6.0557,
+      "mean_token_accuracy": 0.1348518520593643,
+      "num_tokens": 2775561.0,
+      "step": 1520
+    },
+    {
+      "entropy": 6.08063235282898,
+      "epoch": 1.2634631317315659,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004975122733422861,
+      "loss": 6.0201,
+      "mean_token_accuracy": 0.13085112273693084,
+      "num_tokens": 2784691.0,
+      "step": 1525
+    },
+    {
+      "entropy": 6.129113435745239,
+      "epoch": 1.267605633802817,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004974646609232732,
+      "loss": 5.9816,
+      "mean_token_accuracy": 0.13641836866736412,
+      "num_tokens": 2793893.0,
+      "step": 1530
+    },
+    {
+      "entropy": 6.108260202407837,
+      "epoch": 1.2717481358740679,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004974165997687288,
+      "loss": 6.0751,
+      "mean_token_accuracy": 0.13353196606040002,
+      "num_tokens": 2804479.0,
+      "step": 1535
+    },
+    {
+      "entropy": 6.16022138595581,
+      "epoch": 1.275890637945319,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004973680899755972,
+      "loss": 6.107,
+      "mean_token_accuracy": 0.1326654002070427,
+      "num_tokens": 2813966.0,
+      "step": 1540
+    },
+    {
+      "entropy": 6.007886743545532,
+      "epoch": 1.2800331400165699,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000497319131641728,
+      "loss": 5.9326,
+      "mean_token_accuracy": 0.13846119418740271,
+      "num_tokens": 2822328.0,
+      "step": 1545
+    },
+    {
+      "entropy": 6.003260755538941,
+      "epoch": 1.284175642087821,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004972697248658755,
+      "loss": 5.8899,
+      "mean_token_accuracy": 0.14066707715392113,
+      "num_tokens": 2829845.0,
+      "step": 1550
+    },
+    {
+      "entropy": 5.948832178115845,
+      "epoch": 1.288318144159072,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004972198697476987,
+      "loss": 5.8783,
+      "mean_token_accuracy": 0.13914238885045052,
+      "num_tokens": 2839040.0,
+      "step": 1555
+    },
+    {
+      "entropy": 5.961882209777832,
+      "epoch": 1.2924606462303232,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004971695663877607,
+      "loss": 5.9665,
+      "mean_token_accuracy": 0.13561231270432472,
+      "num_tokens": 2848574.0,
+      "step": 1560
+    },
+    {
+      "entropy": 6.077086877822876,
+      "epoch": 1.296603148301574,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004971188148875289,
+      "loss": 5.9421,
+      "mean_token_accuracy": 0.14444561377167703,
+      "num_tokens": 2856812.0,
+      "step": 1565
+    },
+    {
+      "entropy": 6.051652336120606,
+      "epoch": 1.3007456503728252,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004970676153493748,
+      "loss": 6.0283,
+      "mean_token_accuracy": 0.13189572617411613,
+      "num_tokens": 2866001.0,
+      "step": 1570
+    },
+    {
+      "entropy": 6.1068840503692625,
+      "epoch": 1.3048881524440763,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004970159678765731,
+      "loss": 6.0164,
+      "mean_token_accuracy": 0.13239546120166779,
+      "num_tokens": 2875181.0,
+      "step": 1575
+    },
+    {
+      "entropy": 6.049808597564697,
+      "epoch": 1.3090306545153272,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004969638725733028,
+      "loss": 5.9587,
+      "mean_token_accuracy": 0.13397156223654746,
+      "num_tokens": 2885103.0,
+      "step": 1580
+    },
+    {
+      "entropy": 5.92131872177124,
+      "epoch": 1.3131731565865783,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004969113295446455,
+      "loss": 5.9116,
+      "mean_token_accuracy": 0.1383065924048424,
+      "num_tokens": 2894055.0,
+      "step": 1585
+    },
+    {
+      "entropy": 6.116864538192749,
+      "epoch": 1.3173156586578294,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004968583388965863,
+      "loss": 5.9846,
+      "mean_token_accuracy": 0.133075200766325,
+      "num_tokens": 2903391.0,
+      "step": 1590
+    },
+    {
+      "entropy": 6.006745624542236,
+      "epoch": 1.3214581607290803,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004968049007360132,
+      "loss": 5.9854,
+      "mean_token_accuracy": 0.13297903537750244,
+      "num_tokens": 2911760.0,
+      "step": 1595
+    },
+    {
+      "entropy": 5.926331329345703,
+      "epoch": 1.3256006628003314,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004967510151707169,
+      "loss": 5.9369,
+      "mean_token_accuracy": 0.13469143435359002,
+      "num_tokens": 2920589.0,
+      "step": 1600
+    },
+    {
+      "entropy": 6.15295524597168,
+      "epoch": 1.3297431648715825,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004966966823093903,
+      "loss": 6.0746,
+      "mean_token_accuracy": 0.1302391268312931,
+      "num_tokens": 2929635.0,
+      "step": 1605
+    },
+    {
+      "entropy": 5.986531114578247,
+      "epoch": 1.3338856669428334,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004966419022616287,
+      "loss": 5.9349,
+      "mean_token_accuracy": 0.13593596145510672,
+      "num_tokens": 2938778.0,
+      "step": 1610
+    },
+    {
+      "entropy": 6.039755535125733,
+      "epoch": 1.3380281690140845,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004965866751379296,
+      "loss": 6.0503,
+      "mean_token_accuracy": 0.13109695687890052,
+      "num_tokens": 2947836.0,
+      "step": 1615
+    },
+    {
+      "entropy": 6.133180904388428,
+      "epoch": 1.3421706710853356,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004965310010496922,
+      "loss": 6.0032,
+      "mean_token_accuracy": 0.1280514419078827,
+      "num_tokens": 2957028.0,
+      "step": 1620
+    },
+    {
+      "entropy": 6.026159048080444,
+      "epoch": 1.3463131731565865,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004964748801092168,
+      "loss": 5.9571,
+      "mean_token_accuracy": 0.1338861681520939,
+      "num_tokens": 2966088.0,
+      "step": 1625
+    },
+    {
+      "entropy": 6.078959226608276,
+      "epoch": 1.3504556752278376,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004964183124297059,
+      "loss": 6.0438,
+      "mean_token_accuracy": 0.13178688064217567,
+      "num_tokens": 2975271.0,
+      "step": 1630
+    },
+    {
+      "entropy": 5.992210865020752,
+      "epoch": 1.3545981772990887,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004963612981252625,
+      "loss": 6.0524,
+      "mean_token_accuracy": 0.1321226365864277,
+      "num_tokens": 2983799.0,
+      "step": 1635
+    },
+    {
+      "entropy": 6.056794929504394,
+      "epoch": 1.3587406793703396,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004963038373108908,
+      "loss": 6.0179,
+      "mean_token_accuracy": 0.13609340488910676,
+      "num_tokens": 2992675.0,
+      "step": 1640
+    },
+    {
+      "entropy": 6.155933427810669,
+      "epoch": 1.3628831814415907,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004962459301024954,
+      "loss": 6.0838,
+      "mean_token_accuracy": 0.13211635649204254,
+      "num_tokens": 3002483.0,
+      "step": 1645
+    },
+    {
+      "entropy": 6.027872896194458,
+      "epoch": 1.3670256835128418,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004961875766168816,
+      "loss": 5.985,
+      "mean_token_accuracy": 0.13883458971977233,
+      "num_tokens": 3010611.0,
+      "step": 1650
+    },
+    {
+      "entropy": 6.057289028167725,
+      "epoch": 1.371168185584093,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004961287769717547,
+      "loss": 5.9397,
+      "mean_token_accuracy": 0.13197456523776055,
+      "num_tokens": 3019928.0,
+      "step": 1655
+    },
+    {
+      "entropy": 5.9325989246368405,
+      "epoch": 1.3753106876553438,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004960695312857199,
+      "loss": 5.9279,
+      "mean_token_accuracy": 0.13408055454492568,
+      "num_tokens": 3029003.0,
+      "step": 1660
+    },
+    {
+      "entropy": 6.0389604568481445,
+      "epoch": 1.379453189726595,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004960098396782824,
+      "loss": 5.9464,
+      "mean_token_accuracy": 0.1375861033797264,
+      "num_tokens": 3038049.0,
+      "step": 1665
+    },
+    {
+      "entropy": 5.969662141799927,
+      "epoch": 1.3835956917978458,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004959497022698466,
+      "loss": 5.9515,
+      "mean_token_accuracy": 0.14408120438456534,
+      "num_tokens": 3046674.0,
+      "step": 1670
+    },
+    {
+      "entropy": 6.0561059474945065,
+      "epoch": 1.387738193869097,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004958891191817163,
+      "loss": 5.9927,
+      "mean_token_accuracy": 0.12801324650645257,
+      "num_tokens": 3056459.0,
+      "step": 1675
+    },
+    {
+      "entropy": 6.032327270507812,
+      "epoch": 1.391880695940348,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000495828090536094,
+      "loss": 5.9845,
+      "mean_token_accuracy": 0.13036760538816453,
+      "num_tokens": 3066294.0,
+      "step": 1680
+    },
+    {
+      "entropy": 6.0512574195861815,
+      "epoch": 1.3960231980115991,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004957666164560815,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13139644563198088,
+      "num_tokens": 3075420.0,
+      "step": 1685
+    },
+    {
+      "entropy": 6.063203239440918,
+      "epoch": 1.40016570008285,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004957046970656784,
+      "loss": 6.0385,
+      "mean_token_accuracy": 0.13581736162304878,
+      "num_tokens": 3084373.0,
+      "step": 1690
+    },
+    {
+      "entropy": 6.00097541809082,
+      "epoch": 1.4043082021541011,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004956423324897831,
+      "loss": 6.0257,
+      "mean_token_accuracy": 0.13937310948967935,
+      "num_tokens": 3094212.0,
+      "step": 1695
+    },
+    {
+      "entropy": 6.043115425109863,
+      "epoch": 1.408450704225352,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004955795228541917,
+      "loss": 5.9589,
+      "mean_token_accuracy": 0.14452596232295037,
+      "num_tokens": 3102769.0,
+      "step": 1700
+    },
+    {
+      "entropy": 6.040110731124878,
+      "epoch": 1.4125932062966031,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000495516268285598,
+      "loss": 5.9805,
+      "mean_token_accuracy": 0.13440805301070213,
+      "num_tokens": 3111465.0,
+      "step": 1705
+    },
+    {
+      "entropy": 5.978239822387695,
+      "epoch": 1.4167357083678542,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004954525689115935,
+      "loss": 5.9177,
+      "mean_token_accuracy": 0.13326097056269645,
+      "num_tokens": 3121106.0,
+      "step": 1710
+    },
+    {
+      "entropy": 6.007881164550781,
+      "epoch": 1.4208782104391053,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004953884248606669,
+      "loss": 5.945,
+      "mean_token_accuracy": 0.14831372052431108,
+      "num_tokens": 3130662.0,
+      "step": 1715
+    },
+    {
+      "entropy": 5.97642674446106,
+      "epoch": 1.4250207125103562,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004953238362622034,
+      "loss": 5.9812,
+      "mean_token_accuracy": 0.13328263983130456,
+      "num_tokens": 3139538.0,
+      "step": 1720
+    },
+    {
+      "entropy": 6.0256367206573485,
+      "epoch": 1.4291632145816073,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004952588032464855,
+      "loss": 6.0298,
+      "mean_token_accuracy": 0.12707214802503586,
+      "num_tokens": 3148552.0,
+      "step": 1725
+    },
+    {
+      "entropy": 5.996851205825806,
+      "epoch": 1.4333057166528582,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004951933259446919,
+      "loss": 5.9365,
+      "mean_token_accuracy": 0.14197203740477563,
+      "num_tokens": 3156549.0,
+      "step": 1730
+    },
+    {
+      "entropy": 6.114988136291504,
+      "epoch": 1.4374482187241093,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004951274044888975,
+      "loss": 6.1006,
+      "mean_token_accuracy": 0.12147112190723419,
+      "num_tokens": 3166821.0,
+      "step": 1735
+    },
+    {
+      "entropy": 5.960144329071045,
+      "epoch": 1.4415907207953604,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004950610390120731,
+      "loss": 5.9848,
+      "mean_token_accuracy": 0.135729306191206,
+      "num_tokens": 3174962.0,
+      "step": 1740
+    },
+    {
+      "entropy": 6.087535095214844,
+      "epoch": 1.4457332228666115,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000494994229648085,
+      "loss": 5.8903,
+      "mean_token_accuracy": 0.13537728488445283,
+      "num_tokens": 3184027.0,
+      "step": 1745
+    },
+    {
+      "entropy": 5.957475805282593,
+      "epoch": 1.4498757249378624,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004949269765316948,
+      "loss": 6.0321,
+      "mean_token_accuracy": 0.13071285635232927,
+      "num_tokens": 3193186.0,
+      "step": 1750
+    },
+    {
+      "entropy": 6.171153354644775,
+      "epoch": 1.4540182270091135,
+      "grad_norm": 2.140625,
+      "learning_rate": 0.0004948592797985599,
+      "loss": 6.0525,
+      "mean_token_accuracy": 0.13555259853601456,
+      "num_tokens": 3202676.0,
+      "step": 1755
+    },
+    {
+      "entropy": 6.123908805847168,
+      "epoch": 1.4581607290803644,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947911395852317,
+      "loss": 6.1524,
+      "mean_token_accuracy": 0.1352410912513733,
+      "num_tokens": 3211950.0,
+      "step": 1760
+    },
+    {
+      "entropy": 6.120599699020386,
+      "epoch": 1.4623032311516155,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947225560291565,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12961760386824608,
+      "num_tokens": 3221135.0,
+      "step": 1765
+    },
+    {
+      "entropy": 5.962483358383179,
+      "epoch": 1.4664457332228666,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004946535292686746,
+      "loss": 5.8975,
+      "mean_token_accuracy": 0.13825839310884475,
+      "num_tokens": 3230174.0,
+      "step": 1770
+    },
+    {
+      "entropy": 5.979943370819091,
+      "epoch": 1.4705882352941178,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004945840594430209,
+      "loss": 5.8871,
+      "mean_token_accuracy": 0.1381668671965599,
+      "num_tokens": 3238898.0,
+      "step": 1775
+    },
+    {
+      "entropy": 5.973515844345092,
+      "epoch": 1.4747307373653686,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004945141466923235,
+      "loss": 5.9292,
+      "mean_token_accuracy": 0.14479121565818787,
+      "num_tokens": 3247550.0,
+      "step": 1780
+    },
+    {
+      "entropy": 6.113377714157105,
+      "epoch": 1.4788732394366197,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004944437911576041,
+      "loss": 6.0779,
+      "mean_token_accuracy": 0.12900342419743538,
+      "num_tokens": 3256810.0,
+      "step": 1785
+    },
+    {
+      "entropy": 5.9020613670349125,
+      "epoch": 1.4830157415078706,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004943729929807772,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.139550269395113,
+      "num_tokens": 3265886.0,
+      "step": 1790
+    },
+    {
+      "entropy": 6.06021089553833,
+      "epoch": 1.4871582435791217,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004943017523046507,
+      "loss": 5.9273,
+      "mean_token_accuracy": 0.137468421459198,
+      "num_tokens": 3274522.0,
+      "step": 1795
+    },
+    {
+      "entropy": 6.027210426330567,
+      "epoch": 1.4913007456503728,
+      "grad_norm": 1.25,
+      "learning_rate": 0.000494230069272925,
+      "loss": 6.0486,
+      "mean_token_accuracy": 0.13558472618460654,
+      "num_tokens": 3283388.0,
+      "step": 1800
+    },
+    {
+      "entropy": 5.989331531524658,
+      "epoch": 1.495443247721624,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004941579440301923,
+      "loss": 5.9224,
+      "mean_token_accuracy": 0.1305856943130493,
+      "num_tokens": 3291887.0,
+      "step": 1805
+    },
+    {
+      "entropy": 5.96136965751648,
+      "epoch": 1.4995857497928748,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940853767219372,
+      "loss": 5.9685,
+      "mean_token_accuracy": 0.13564062863588333,
+      "num_tokens": 3300674.0,
+      "step": 1810
+    },
+    {
+      "entropy": 5.9364429950714115,
+      "epoch": 1.503728251864126,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940123674945359,
+      "loss": 5.8311,
+      "mean_token_accuracy": 0.13808463513851166,
+      "num_tokens": 3309745.0,
+      "step": 1815
+    },
+    {
+      "entropy": 6.076629638671875,
+      "epoch": 1.5078707539353768,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004939389164952561,
+      "loss": 5.9722,
+      "mean_token_accuracy": 0.1378110609948635,
+      "num_tokens": 3318888.0,
+      "step": 1820
+    },
+    {
+      "entropy": 5.8970863819122314,
+      "epoch": 1.512013256006628,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004938650238722564,
+      "loss": 5.9296,
+      "mean_token_accuracy": 0.13823849260807036,
+      "num_tokens": 3328274.0,
+      "step": 1825
+    },
+    {
+      "entropy": 6.003948831558228,
+      "epoch": 1.516155758077879,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004937906897745861,
+      "loss": 5.9387,
+      "mean_token_accuracy": 0.1468382939696312,
+      "num_tokens": 3337579.0,
+      "step": 1830
+    },
+    {
+      "entropy": 6.045965003967285,
+      "epoch": 1.5202982601491302,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004937159143521856,
+      "loss": 5.9081,
+      "mean_token_accuracy": 0.14555162489414214,
+      "num_tokens": 3346262.0,
+      "step": 1835
+    },
+    {
+      "entropy": 5.972390079498291,
+      "epoch": 1.5244407622203813,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004936406977558847,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.13030771315097808,
+      "num_tokens": 3354833.0,
+      "step": 1840
+    },
+    {
+      "entropy": 6.051387977600098,
+      "epoch": 1.5285832642916322,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004935650401374039,
+      "loss": 6.0906,
+      "mean_token_accuracy": 0.14119647368788718,
+      "num_tokens": 3364314.0,
+      "step": 1845
+    },
+    {
+      "entropy": 6.046140813827515,
+      "epoch": 1.532725766362883,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004934889416493524,
+      "loss": 5.9157,
+      "mean_token_accuracy": 0.13524662256240844,
+      "num_tokens": 3373648.0,
+      "step": 1850
+    },
+    {
+      "entropy": 5.863892507553101,
+      "epoch": 1.5368682684341342,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004934124024452295,
+      "loss": 5.7869,
+      "mean_token_accuracy": 0.1471114367246628,
+      "num_tokens": 3382919.0,
+      "step": 1855
+    },
+    {
+      "entropy": 5.888700532913208,
+      "epoch": 1.5410107705053853,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004933354226794232,
+      "loss": 5.9383,
+      "mean_token_accuracy": 0.1432707317173481,
+      "num_tokens": 3391814.0,
+      "step": 1860
+    },
+    {
+      "entropy": 6.080925798416137,
+      "epoch": 1.5451532725766364,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004932580025072098,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.13580586463212968,
+      "num_tokens": 3400392.0,
+      "step": 1865
+    },
+    {
+      "entropy": 5.996384525299073,
+      "epoch": 1.5492957746478875,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004931801420847545,
+      "loss": 6.036,
+      "mean_token_accuracy": 0.13089759424328803,
+      "num_tokens": 3410430.0,
+      "step": 1870
+    },
+    {
+      "entropy": 5.932257795333863,
+      "epoch": 1.5534382767191384,
+      "grad_norm": 0.9609375,
+      "learning_rate": 0.0004931018415691102,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.13694921880960464,
+      "num_tokens": 3420654.0,
+      "step": 1875
+    },
+    {
+      "entropy": 5.951343011856079,
+      "epoch": 1.5575807787903893,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004930231011182176,
+      "loss": 5.9986,
+      "mean_token_accuracy": 0.13937177062034606,
+      "num_tokens": 3430514.0,
+      "step": 1880
+    },
+    {
+      "entropy": 6.071512508392334,
+      "epoch": 1.5617232808616404,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004929439208909048,
+      "loss": 5.9331,
+      "mean_token_accuracy": 0.1375361390411854,
+      "num_tokens": 3439551.0,
+      "step": 1885
+    },
+    {
+      "entropy": 5.902947330474854,
+      "epoch": 1.5658657829328915,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004928643010468869,
+      "loss": 5.8911,
+      "mean_token_accuracy": 0.13622887432575226,
+      "num_tokens": 3448160.0,
+      "step": 1890
+    },
+    {
+      "entropy": 5.993059539794922,
+      "epoch": 1.5700082850041426,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004927842417467659,
+      "loss": 5.9517,
+      "mean_token_accuracy": 0.14548188596963882,
+      "num_tokens": 3457296.0,
+      "step": 1895
+    },
+    {
+      "entropy": 6.027637386322022,
+      "epoch": 1.5741507870753937,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004927037431520302,
+      "loss": 5.9073,
+      "mean_token_accuracy": 0.14102519080042838,
+      "num_tokens": 3466108.0,
+      "step": 1900
+    },
+    {
+      "entropy": 5.975209665298462,
+      "epoch": 1.5782932891466446,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004926228054250541,
+      "loss": 5.9941,
+      "mean_token_accuracy": 0.14009249955415726,
+      "num_tokens": 3475336.0,
+      "step": 1905
+    },
+    {
+      "entropy": 6.073916673660278,
+      "epoch": 1.5824357912178955,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004925414287290979,
+      "loss": 5.9668,
+      "mean_token_accuracy": 0.13723743334412575,
+      "num_tokens": 3483963.0,
+      "step": 1910
+    },
+    {
+      "entropy": 5.848618030548096,
+      "epoch": 1.5865782932891466,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004924596132283075,
+      "loss": 5.8765,
+      "mean_token_accuracy": 0.14485997408628465,
+      "num_tokens": 3492947.0,
+      "step": 1915
+    },
+    {
+      "entropy": 5.966853284835816,
+      "epoch": 1.5907207953603977,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004923773590877135,
+      "loss": 5.9651,
+      "mean_token_accuracy": 0.13334692791104316,
+      "num_tokens": 3501877.0,
+      "step": 1920
+    },
+    {
+      "entropy": 6.042904996871949,
+      "epoch": 1.5948632974316488,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004922946664732314,
+      "loss": 6.0304,
+      "mean_token_accuracy": 0.13204361274838447,
+      "num_tokens": 3510610.0,
+      "step": 1925
+    },
+    {
+      "entropy": 6.0583656311035154,
+      "epoch": 1.5990057995029,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004922115355516615,
+      "loss": 5.9841,
+      "mean_token_accuracy": 0.13304307833313941,
+      "num_tokens": 3519829.0,
+      "step": 1930
+    },
+    {
+      "entropy": 6.015839862823486,
+      "epoch": 1.6031483015741508,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004921279664906877,
+      "loss": 5.9661,
+      "mean_token_accuracy": 0.13071200698614122,
+      "num_tokens": 3529408.0,
+      "step": 1935
+    },
+    {
+      "entropy": 5.924501991271972,
+      "epoch": 1.6072908036454017,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004920439594588781,
+      "loss": 5.8955,
+      "mean_token_accuracy": 0.14675913602113724,
+      "num_tokens": 3538068.0,
+      "step": 1940
+    },
+    {
+      "entropy": 6.051935148239136,
+      "epoch": 1.6114333057166528,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000491959514625684,
+      "loss": 6.0177,
+      "mean_token_accuracy": 0.13845598921179772,
+      "num_tokens": 3547302.0,
+      "step": 1945
+    },
+    {
+      "entropy": 5.956210565567017,
+      "epoch": 1.6155758077879039,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00049187463216144,
+      "loss": 5.9024,
+      "mean_token_accuracy": 0.145584287494421,
+      "num_tokens": 3556087.0,
+      "step": 1950
+    },
+    {
+      "entropy": 6.046857452392578,
+      "epoch": 1.619718309859155,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.000491789312237363,
+      "loss": 5.9857,
+      "mean_token_accuracy": 0.13579782098531723,
+      "num_tokens": 3566235.0,
+      "step": 1955
+    },
+    {
+      "entropy": 5.983897924423218,
+      "epoch": 1.623860811930406,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004917035550255528,
+      "loss": 5.899,
+      "mean_token_accuracy": 0.14092317298054696,
+      "num_tokens": 3574762.0,
+      "step": 1960
+    },
+    {
+      "entropy": 5.904513597488403,
+      "epoch": 1.628003314001657,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000491617360698991,
+      "loss": 5.8837,
+      "mean_token_accuracy": 0.139695380628109,
+      "num_tokens": 3583359.0,
+      "step": 1965
+    },
+    {
+      "entropy": 5.920687866210938,
+      "epoch": 1.6321458160729079,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004915307294315412,
+      "loss": 5.8505,
+      "mean_token_accuracy": 0.14011457338929176,
+      "num_tokens": 3591436.0,
+      "step": 1970
+    },
+    {
+      "entropy": 5.926318550109864,
+      "epoch": 1.636288318144159,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.000491443661397948,
+      "loss": 5.9355,
+      "mean_token_accuracy": 0.13468224480748175,
+      "num_tokens": 3601054.0,
+      "step": 1975
+    },
+    {
+      "entropy": 5.974443817138672,
+      "epoch": 1.64043082021541,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004913561567738368,
+      "loss": 5.9014,
+      "mean_token_accuracy": 0.1383673779666424,
+      "num_tokens": 3610641.0,
+      "step": 1980
+    },
+    {
+      "entropy": 5.912512636184692,
+      "epoch": 1.6445733222866612,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004912682157357146,
+      "loss": 5.8447,
+      "mean_token_accuracy": 0.13975749984383584,
+      "num_tokens": 3619351.0,
+      "step": 1985
+    },
+    {
+      "entropy": 5.853101539611816,
+      "epoch": 1.6487158243579123,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004911798384609675,
+      "loss": 5.8306,
+      "mean_token_accuracy": 0.1472959376871586,
+      "num_tokens": 3627341.0,
+      "step": 1990
+    },
+    {
+      "entropy": 5.942045879364014,
+      "epoch": 1.6528583264291632,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004910910251278626,
+      "loss": 5.8918,
+      "mean_token_accuracy": 0.14801610112190247,
+      "num_tokens": 3637132.0,
+      "step": 1995
+    },
+    {
+      "entropy": 5.919465351104736,
+      "epoch": 1.6570008285004143,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004910017759155458,
+      "loss": 5.9479,
+      "mean_token_accuracy": 0.1400071859359741,
+      "num_tokens": 3646196.0,
+      "step": 2000
+    },
+    {
+      "epoch": 1.6570008285004143,
+      "eval_entropy": 5.874394122979789,
+      "eval_loss": 6.1148576736450195,
+      "eval_mean_token_accuracy": 0.1363023624046525,
+      "eval_num_tokens": 3646196.0,
+      "eval_runtime": 2.7574,
+      "eval_samples_per_second": 1358.871,
+      "eval_steps_per_second": 170.085,
+      "step": 2000
+    },
+    {
+      "entropy": 5.967284250259399,
+      "epoch": 1.6611433305716652,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004909120910040427,
+      "loss": 5.8839,
+      "mean_token_accuracy": 0.1461731344461441,
+      "num_tokens": 3654658.0,
+      "step": 2005
+    },
+    {
+      "entropy": 6.045904684066772,
+      "epoch": 1.6652858326429163,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004908219705742574,
+      "loss": 6.1605,
+      "mean_token_accuracy": 0.13489469960331918,
+      "num_tokens": 3664509.0,
+      "step": 2010
+    },
+    {
+      "entropy": 6.002130031585693,
+      "epoch": 1.6694283347141674,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004907314148079727,
+      "loss": 5.8567,
+      "mean_token_accuracy": 0.1425239197909832,
+      "num_tokens": 3672983.0,
+      "step": 2015
+    },
+    {
+      "entropy": 5.708412790298462,
+      "epoch": 1.6735708367854185,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004906404238878496,
+      "loss": 5.7221,
+      "mean_token_accuracy": 0.14639501571655272,
+      "num_tokens": 3681196.0,
+      "step": 2020
+    },
+    {
+      "entropy": 5.97982873916626,
+      "epoch": 1.6777133388566694,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004905489979974265,
+      "loss": 5.9098,
+      "mean_token_accuracy": 0.14081615954637527,
+      "num_tokens": 3690077.0,
+      "step": 2025
+    },
+    {
+      "entropy": 5.942774772644043,
+      "epoch": 1.6818558409279205,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004904571373211197,
+      "loss": 5.9906,
+      "mean_token_accuracy": 0.13563016131520272,
+      "num_tokens": 3700121.0,
+      "step": 2030
+    },
+    {
+      "entropy": 5.897730588912964,
+      "epoch": 1.6859983429991714,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000490364842044222,
+      "loss": 5.8074,
+      "mean_token_accuracy": 0.14530285224318504,
+      "num_tokens": 3709618.0,
+      "step": 2035
+    },
+    {
+      "entropy": 5.954602289199829,
+      "epoch": 1.6901408450704225,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004902721123529031,
+      "loss": 5.9869,
+      "mean_token_accuracy": 0.12953415215015412,
+      "num_tokens": 3719570.0,
+      "step": 2040
+    },
+    {
+      "entropy": 6.074023342132568,
+      "epoch": 1.6942833471416736,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000490178948434209,
+      "loss": 5.9267,
+      "mean_token_accuracy": 0.14249598532915114,
+      "num_tokens": 3729354.0,
+      "step": 2045
+    },
+    {
+      "entropy": 5.833365964889526,
+      "epoch": 1.6984258492129247,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004900853504760614,
+      "loss": 5.8409,
+      "mean_token_accuracy": 0.14450331926345825,
+      "num_tokens": 3738453.0,
+      "step": 2050
+    },
+    {
+      "entropy": 5.888468265533447,
+      "epoch": 1.7025683512841756,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004899913186672577,
+      "loss": 5.8165,
+      "mean_token_accuracy": 0.14293194860219954,
+      "num_tokens": 3747815.0,
+      "step": 2055
+    },
+    {
+      "entropy": 5.914711236953735,
+      "epoch": 1.7067108533554267,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004898968531974702,
+      "loss": 5.9249,
+      "mean_token_accuracy": 0.14642315953969956,
+      "num_tokens": 3757298.0,
+      "step": 2060
+    },
+    {
+      "entropy": 5.978992033004761,
+      "epoch": 1.7108533554266776,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004898019542572462,
+      "loss": 5.9124,
+      "mean_token_accuracy": 0.14719650894403458,
+      "num_tokens": 3765939.0,
+      "step": 2065
+    },
+    {
+      "entropy": 6.005469894409179,
+      "epoch": 1.7149958574979287,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004897066220380073,
+      "loss": 5.933,
+      "mean_token_accuracy": 0.13779435828328132,
+      "num_tokens": 3775160.0,
+      "step": 2070
+    },
+    {
+      "entropy": 5.921374797821045,
+      "epoch": 1.7191383595691798,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004896108567320489,
+      "loss": 5.831,
+      "mean_token_accuracy": 0.14186858981847764,
+      "num_tokens": 3785181.0,
+      "step": 2075
+    },
+    {
+      "entropy": 5.972924375534058,
+      "epoch": 1.723280861640431,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048951465853254,
+      "loss": 5.9444,
+      "mean_token_accuracy": 0.14323145076632499,
+      "num_tokens": 3794531.0,
+      "step": 2080
+    },
+    {
+      "entropy": 5.953138160705566,
+      "epoch": 1.7274233637116818,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004894180276335231,
+      "loss": 5.934,
+      "mean_token_accuracy": 0.1396125227212906,
+      "num_tokens": 3804602.0,
+      "step": 2085
+    },
+    {
+      "entropy": 5.9721667766571045,
+      "epoch": 1.731565865782933,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004893209642299132,
+      "loss": 5.97,
+      "mean_token_accuracy": 0.1395590640604496,
+      "num_tokens": 3813394.0,
+      "step": 2090
+    },
+    {
+      "entropy": 5.97849326133728,
+      "epoch": 1.7357083678541838,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004892234685174976,
+      "loss": 5.962,
+      "mean_token_accuracy": 0.13808128908276557,
+      "num_tokens": 3821604.0,
+      "step": 2095
+    },
+    {
+      "entropy": 5.967495775222778,
+      "epoch": 1.739850869925435,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004891255406929359,
+      "loss": 5.9564,
+      "mean_token_accuracy": 0.13652343899011612,
+      "num_tokens": 3831977.0,
+      "step": 2100
+    },
+    {
+      "entropy": 5.98737063407898,
+      "epoch": 1.743993371996686,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004890271809537595,
+      "loss": 5.9017,
+      "mean_token_accuracy": 0.1393343411386013,
+      "num_tokens": 3840684.0,
+      "step": 2105
+    },
+    {
+      "entropy": 5.870862340927124,
+      "epoch": 1.7481358740679371,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004889283894983704,
+      "loss": 5.8147,
+      "mean_token_accuracy": 0.1389534741640091,
+      "num_tokens": 3851147.0,
+      "step": 2110
+    },
+    {
+      "entropy": 6.002704238891601,
+      "epoch": 1.752278376139188,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000488829166526042,
+      "loss": 5.9838,
+      "mean_token_accuracy": 0.13991605415940284,
+      "num_tokens": 3859881.0,
+      "step": 2115
+    },
+    {
+      "entropy": 5.948231506347656,
+      "epoch": 1.7564208782104391,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004887295122369176,
+      "loss": 6.0107,
+      "mean_token_accuracy": 0.13371825441718102,
+      "num_tokens": 3870151.0,
+      "step": 2120
+    },
+    {
+      "entropy": 5.99525203704834,
+      "epoch": 1.76056338028169,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.000488629426832011,
+      "loss": 5.9313,
+      "mean_token_accuracy": 0.13850879445672035,
+      "num_tokens": 3878398.0,
+      "step": 2125
+    },
+    {
+      "entropy": 5.924004030227661,
+      "epoch": 1.7647058823529411,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004885289105132054,
+      "loss": 5.8893,
+      "mean_token_accuracy": 0.14114601090550422,
+      "num_tokens": 3888007.0,
+      "step": 2130
+    },
+    {
+      "entropy": 5.930246257781983,
+      "epoch": 1.7688483844241922,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004884279634832532,
+      "loss": 5.8728,
+      "mean_token_accuracy": 0.14278061985969542,
+      "num_tokens": 3896945.0,
+      "step": 2135
+    },
+    {
+      "entropy": 5.940092372894287,
+      "epoch": 1.7729908864954433,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004883265859457754,
+      "loss": 5.8905,
+      "mean_token_accuracy": 0.1457919418811798,
+      "num_tokens": 3906049.0,
+      "step": 2140
+    },
+    {
+      "entropy": 5.866062164306641,
+      "epoch": 1.7771333885666944,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048822477810526186,
+      "loss": 5.8422,
+      "mean_token_accuracy": 0.1388966679573059,
+      "num_tokens": 3915050.0,
+      "step": 2145
+    },
+    {
+      "entropy": 5.966696119308471,
+      "epoch": 1.7812758906379453,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00048812254016706994,
+      "loss": 5.9205,
+      "mean_token_accuracy": 0.14728582575917243,
+      "num_tokens": 3924031.0,
+      "step": 2150
+    },
+    {
+      "entropy": 5.915832757949829,
+      "epoch": 1.7854183927091962,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004880198723374247,
+      "loss": 5.9776,
+      "mean_token_accuracy": 0.14149753525853156,
+      "num_tokens": 3933756.0,
+      "step": 2155
+    },
+    {
+      "entropy": 5.959774684906006,
+      "epoch": 1.7895608947804473,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048791677482341845,
+      "loss": 5.9592,
+      "mean_token_accuracy": 0.13750381171703338,
+      "num_tokens": 3943129.0,
+      "step": 2160
+    },
+    {
+      "entropy": 5.881538438796997,
+      "epoch": 1.7937033968516984,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048781324783301016,
+      "loss": 5.7912,
+      "mean_token_accuracy": 0.14508036673069,
+      "num_tokens": 3951494.0,
+      "step": 2165
+    },
+    {
+      "entropy": 5.946735525131226,
+      "epoch": 1.7978458989229495,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048770929157502505,
+      "loss": 5.9565,
+      "mean_token_accuracy": 0.143115097284317,
+      "num_tokens": 3960588.0,
+      "step": 2170
+    },
+    {
+      "entropy": 5.9805809497833256,
+      "epoch": 1.8019884009942007,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004876049062591543,
+      "loss": 5.9226,
+      "mean_token_accuracy": 0.13506680428981782,
+      "num_tokens": 3970135.0,
+      "step": 2175
+    },
+    {
+      "entropy": 5.950060653686523,
+      "epoch": 1.8061309030654515,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048750009209595443,
+      "loss": 5.9042,
+      "mean_token_accuracy": 0.13944360390305519,
+      "num_tokens": 3979569.0,
+      "step": 2180
+    },
+    {
+      "entropy": 5.88271656036377,
+      "epoch": 1.8102734051367024,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048739484929684714,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.144245932251215,
+      "num_tokens": 3987885.0,
+      "step": 2185
+    },
+    {
+      "entropy": 5.933677864074707,
+      "epoch": 1.8144159072079535,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048728917807411856,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.13125594183802605,
+      "num_tokens": 3997726.0,
+      "step": 2190
+    },
+    {
+      "entropy": 6.008653068542481,
+      "epoch": 1.8185584092792046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004871830786409191,
+      "loss": 5.8436,
+      "mean_token_accuracy": 0.14898036047816277,
+      "num_tokens": 4006437.0,
+      "step": 2195
+    },
+    {
+      "entropy": 5.856683444976807,
+      "epoch": 1.8227009113504558,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00048707655121126296,
+      "loss": 5.8124,
+      "mean_token_accuracy": 0.14927435666322708,
+      "num_tokens": 4015326.0,
+      "step": 2200
+    },
+    {
+      "entropy": 5.924995994567871,
+      "epoch": 1.8268434134217069,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048696959600002767,
+      "loss": 5.8722,
+      "mean_token_accuracy": 0.14032577201724053,
+      "num_tokens": 4024294.0,
+      "step": 2205
+    },
+    {
+      "entropy": 5.881852293014527,
+      "epoch": 1.8309859154929577,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048686221322295347,
+      "loss": 5.9028,
+      "mean_token_accuracy": 0.14340249821543694,
+      "num_tokens": 4033341.0,
+      "step": 2210
+    },
+    {
+      "entropy": 5.951443433761597,
+      "epoch": 1.8351284175642086,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048675440309664314,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.1474481076002121,
+      "num_tokens": 4042446.0,
+      "step": 2215
+    },
+    {
+      "entropy": 5.832607173919678,
+      "epoch": 1.8392709196354597,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00048664616583856166,
+      "loss": 5.8924,
+      "mean_token_accuracy": 0.13868724405765534,
+      "num_tokens": 4051849.0,
+      "step": 2220
+    },
+    {
+      "entropy": 6.026660823822022,
+      "epoch": 1.8434134217067109,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00048653750166703516,
+      "loss": 5.9855,
+      "mean_token_accuracy": 0.1381051518023014,
+      "num_tokens": 4061075.0,
+      "step": 2225
+    },
+    {
+      "entropy": 5.976817560195923,
+      "epoch": 1.847555923777962,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004864284108012513,
+      "loss": 5.9524,
+      "mean_token_accuracy": 0.13498588278889656,
+      "num_tokens": 4071022.0,
+      "step": 2230
+    },
+    {
+      "entropy": 5.884273719787598,
+      "epoch": 1.851698425849213,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004863188934612583,
+      "loss": 5.854,
+      "mean_token_accuracy": 0.1435965158045292,
+      "num_tokens": 4080728.0,
+      "step": 2235
+    },
+    {
+      "entropy": 5.8848789691925045,
+      "epoch": 1.855840927920464,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004862089498679645,
+      "loss": 5.8121,
+      "mean_token_accuracy": 0.15146355628967284,
+      "num_tokens": 4088712.0,
+      "step": 2240
+    },
+    {
+      "entropy": 5.904728364944458,
+      "epoch": 1.8599834299917148,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004860985802431383,
+      "loss": 5.8445,
+      "mean_token_accuracy": 0.14107747822999955,
+      "num_tokens": 4097488.0,
+      "step": 2245
+    },
+    {
+      "entropy": 5.815548610687256,
+      "epoch": 1.864125932062966,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004859877848094071,
+      "loss": 5.8328,
+      "mean_token_accuracy": 0.14647450745105745,
+      "num_tokens": 4106485.0,
+      "step": 2250
+    },
+    {
+      "entropy": 5.969652986526489,
+      "epoch": 1.868268434134217,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004858765637902575,
+      "loss": 5.8016,
+      "mean_token_accuracy": 0.14588006138801574,
+      "num_tokens": 4115806.0,
+      "step": 2255
+    },
+    {
+      "entropy": 5.982199335098267,
+      "epoch": 1.8724109362054682,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004857649174100344,
+      "loss": 5.9353,
+      "mean_token_accuracy": 0.14478921219706536,
+      "num_tokens": 4124636.0,
+      "step": 2260
+    },
+    {
+      "entropy": 5.869907474517822,
+      "epoch": 1.8765534382767193,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.0004856528458939409,
+      "loss": 5.8948,
+      "mean_token_accuracy": 0.13403457626700402,
+      "num_tokens": 4133876.0,
+      "step": 2265
+    },
+    {
+      "entropy": 5.836872100830078,
+      "epoch": 1.8806959403479702,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004855403494680373,
+      "loss": 5.8159,
+      "mean_token_accuracy": 0.14096100330352784,
+      "num_tokens": 4143555.0,
+      "step": 2270
+    },
+    {
+      "entropy": 5.871636962890625,
+      "epoch": 1.884838442419221,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00048542742835924133,
+      "loss": 5.7773,
+      "mean_token_accuracy": 0.14253296032547952,
+      "num_tokens": 4153007.0,
+      "step": 2275
+    },
+    {
+      "entropy": 5.766701364517212,
+      "epoch": 1.8889809444904722,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048531408279532705,
+      "loss": 5.8171,
+      "mean_token_accuracy": 0.14552054405212403,
+      "num_tokens": 4162107.0,
+      "step": 2280
+    },
+    {
+      "entropy": 5.884533357620239,
+      "epoch": 1.8931234465617233,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048520031300492507,
+      "loss": 5.8208,
+      "mean_token_accuracy": 0.14203491136431695,
+      "num_tokens": 4170920.0,
+      "step": 2285
+    },
+    {
+      "entropy": 5.9367118835449215,
+      "epoch": 1.8972659486329744,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048508611921752124,
+      "loss": 5.8366,
+      "mean_token_accuracy": 0.14547978863120078,
+      "num_tokens": 4180226.0,
+      "step": 2290
+    },
+    {
+      "entropy": 5.804201984405518,
+      "epoch": 1.9014084507042255,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00048497150166345703,
+      "loss": 5.7799,
+      "mean_token_accuracy": 0.14307984560728074,
+      "num_tokens": 4189283.0,
+      "step": 2295
+    },
+    {
+      "entropy": 5.833661937713623,
+      "epoch": 1.9055509527754764,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004848564605739287,
+      "loss": 5.8181,
+      "mean_token_accuracy": 0.14286661818623542,
+      "num_tokens": 4199017.0,
+      "step": 2300
+    },
+    {
+      "entropy": 5.985245418548584,
+      "epoch": 1.9096934548467275,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048474099618098644,
+      "loss": 5.9557,
+      "mean_token_accuracy": 0.13776218444108962,
+      "num_tokens": 4207756.0,
+      "step": 2305
+    },
+    {
+      "entropy": 5.926583385467529,
+      "epoch": 1.9138359569179784,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004846251087175348,
+      "loss": 5.8467,
+      "mean_token_accuracy": 0.14270823299884797,
+      "num_tokens": 4216721.0,
+      "step": 2310
+    },
+    {
+      "entropy": 5.816466999053955,
+      "epoch": 1.9179784589892295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004845087984173312,
+      "loss": 5.8214,
+      "mean_token_accuracy": 0.14952016696333886,
+      "num_tokens": 4225596.0,
+      "step": 2315
+    },
+    {
+      "entropy": 5.975145244598389,
+      "epoch": 1.9221209610604806,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048439206551498644,
+      "loss": 5.8881,
+      "mean_token_accuracy": 0.14604572355747222,
+      "num_tokens": 4234500.0,
+      "step": 2320
+    },
+    {
+      "entropy": 5.83410792350769,
+      "epoch": 1.9262634631317317,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004842749102459635,
+      "loss": 5.8331,
+      "mean_token_accuracy": 0.14477182626724244,
+      "num_tokens": 4243240.0,
+      "step": 2325
+    },
+    {
+      "entropy": 5.799895906448365,
+      "epoch": 1.9304059652029826,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048415733284657727,
+      "loss": 5.8249,
+      "mean_token_accuracy": 0.14724751114845275,
+      "num_tokens": 4251892.0,
+      "step": 2330
+    },
+    {
+      "entropy": 5.914888668060303,
+      "epoch": 1.9345484672742337,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004840393335539943,
+      "loss": 5.784,
+      "mean_token_accuracy": 0.14537777602672577,
+      "num_tokens": 4261447.0,
+      "step": 2335
+    },
+    {
+      "entropy": 5.93565788269043,
+      "epoch": 1.9386909693454846,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048392091260623195,
+      "loss": 5.9202,
+      "mean_token_accuracy": 0.1471864774823189,
+      "num_tokens": 4270120.0,
+      "step": 2340
+    },
+    {
+      "entropy": 5.905978488922119,
+      "epoch": 1.9428334714167357,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048380207024215836,
+      "loss": 5.7991,
+      "mean_token_accuracy": 0.1482786476612091,
+      "num_tokens": 4278300.0,
+      "step": 2345
+    },
+    {
+      "entropy": 5.905145263671875,
+      "epoch": 1.9469759734879868,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00048368280670149145,
+      "loss": 5.8487,
+      "mean_token_accuracy": 0.1461447760462761,
+      "num_tokens": 4286454.0,
+      "step": 2350
+    },
+    {
+      "entropy": 5.805000495910645,
+      "epoch": 1.951118475559238,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004835631222247989,
+      "loss": 5.7243,
+      "mean_token_accuracy": 0.15050614029169082,
+      "num_tokens": 4294752.0,
+      "step": 2355
+    },
+    {
+      "entropy": 5.907592630386352,
+      "epoch": 1.9552609776304888,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00048344301705349735,
+      "loss": 5.7974,
+      "mean_token_accuracy": 0.14830030649900436,
+      "num_tokens": 4303195.0,
+      "step": 2360
+    },
+    {
+      "entropy": 5.841587924957276,
+      "epoch": 1.95940347970174,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048332249142985195,
+      "loss": 5.9211,
+      "mean_token_accuracy": 0.1373597078025341,
+      "num_tokens": 4311961.0,
+      "step": 2365
+    },
+    {
+      "entropy": 5.900353670120239,
+      "epoch": 1.9635459817729908,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004832015455969763,
+      "loss": 5.7748,
+      "mean_token_accuracy": 0.13879901468753814,
+      "num_tokens": 4322267.0,
+      "step": 2370
+    },
+    {
+      "entropy": 5.774641275405884,
+      "epoch": 1.9676884838442419,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048308017979883114,
+      "loss": 5.8838,
+      "mean_token_accuracy": 0.1426581546664238,
+      "num_tokens": 4330584.0,
+      "step": 2375
+    },
+    {
+      "entropy": 5.840176010131836,
+      "epoch": 1.971830985915493,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048295839428022454,
+      "loss": 5.7215,
+      "mean_token_accuracy": 0.14949245899915695,
+      "num_tokens": 4339215.0,
+      "step": 2380
+    },
+    {
+      "entropy": 5.869688034057617,
+      "epoch": 1.975973487986744,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00048283618928681127,
+      "loss": 5.7418,
+      "mean_token_accuracy": 0.1501791574060917,
+      "num_tokens": 4347711.0,
+      "step": 2385
+    },
+    {
+      "entropy": 5.764533996582031,
+      "epoch": 1.980115990057995,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004827135650650923,
+      "loss": 5.7445,
+      "mean_token_accuracy": 0.14758301600813867,
+      "num_tokens": 4356982.0,
+      "step": 2390
+    },
+    {
+      "entropy": 5.770398235321045,
+      "epoch": 1.984258492129246,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004825905218624139,
+      "loss": 5.7696,
+      "mean_token_accuracy": 0.14773683473467827,
+      "num_tokens": 4365378.0,
+      "step": 2395
+    },
+    {
+      "entropy": 5.9908288478851315,
+      "epoch": 1.988400994200497,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048246705992696756,
+      "loss": 5.8174,
+      "mean_token_accuracy": 0.14142358154058457,
+      "num_tokens": 4374007.0,
+      "step": 2400
+    },
+    {
+      "entropy": 5.9741987705230715,
+      "epoch": 1.992543496271748,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048234317950778975,
+      "loss": 5.9346,
+      "mean_token_accuracy": 0.1409923940896988,
+      "num_tokens": 4383909.0,
+      "step": 2405
+    },
+    {
+      "entropy": 5.967488718032837,
+      "epoch": 1.9966859983429992,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004822188808547607,
+      "loss": 5.9967,
+      "mean_token_accuracy": 0.13560240790247918,
+      "num_tokens": 4393145.0,
+      "step": 2410
+    },
+    {
+      "entropy": 5.751282596588135,
+      "epoch": 2.0008285004142503,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004820941642186043,
+      "loss": 5.7146,
+      "mean_token_accuracy": 0.14043126851320267,
+      "num_tokens": 4402024.0,
+      "step": 2415
+    },
+    {
+      "entropy": 5.91456356048584,
+      "epoch": 2.0049710024855014,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004819690298508879,
+      "loss": 5.5395,
+      "mean_token_accuracy": 0.1603303700685501,
+      "num_tokens": 4411377.0,
+      "step": 2420
+    },
+    {
+      "entropy": 5.758482313156128,
+      "epoch": 2.009113504556752,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048184347800402083,
+      "loss": 5.4299,
+      "mean_token_accuracy": 0.16564757078886033,
+      "num_tokens": 4419781.0,
+      "step": 2425
+    },
+    {
+      "entropy": 5.727555131912231,
+      "epoch": 2.013256006628003,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004817175089312551,
+      "loss": 5.4154,
+      "mean_token_accuracy": 0.16400155574083328,
+      "num_tokens": 4428427.0,
+      "step": 2430
+    },
+    {
+      "entropy": 5.749885892868042,
+      "epoch": 2.0173985086992543,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048159112288668403,
+      "loss": 5.4586,
+      "mean_token_accuracy": 0.15933601409196854,
+      "num_tokens": 4438156.0,
+      "step": 2435
+    },
+    {
+      "entropy": 5.876013088226318,
+      "epoch": 2.0215410107705054,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00048146432012524215,
+      "loss": 5.4819,
+      "mean_token_accuracy": 0.16306492537260056,
+      "num_tokens": 4446342.0,
+      "step": 2440
+    },
+    {
+      "entropy": 5.738983201980591,
+      "epoch": 2.0256835128417565,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00048133710090270446,
+      "loss": 5.5229,
+      "mean_token_accuracy": 0.1542331963777542,
+      "num_tokens": 4455582.0,
+      "step": 2445
+    },
+    {
+      "entropy": 5.815389633178711,
+      "epoch": 2.0298260149130076,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048120946547568596,
+      "loss": 5.5375,
+      "mean_token_accuracy": 0.15604802072048188,
+      "num_tokens": 4464518.0,
+      "step": 2450
+    },
+    {
+      "entropy": 5.927202749252319,
+      "epoch": 2.0339685169842583,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00048108141410164133,
+      "loss": 5.6588,
+      "mean_token_accuracy": 0.14534952044486998,
+      "num_tokens": 4475031.0,
+      "step": 2455
+    },
+    {
+      "entropy": 5.8722837448120115,
+      "epoch": 2.0381110190555094,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004809529470388642,
+      "loss": 5.5396,
+      "mean_token_accuracy": 0.1577153742313385,
+      "num_tokens": 4484609.0,
+      "step": 2460
+    },
+    {
+      "entropy": 5.787671709060669,
+      "epoch": 2.0422535211267605,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004808240645464866,
+      "loss": 5.5698,
+      "mean_token_accuracy": 0.15477177649736404,
+      "num_tokens": 4494238.0,
+      "step": 2465
+    },
+    {
+      "entropy": 5.684235668182373,
+      "epoch": 2.0463960231980116,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004806947668844787,
+      "loss": 5.4573,
+      "mean_token_accuracy": 0.16172746568918228,
+      "num_tokens": 4503258.0,
+      "step": 2470
+    },
+    {
+      "entropy": 5.786364412307739,
+      "epoch": 2.0505385252692627,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048056505431364794,
+      "loss": 5.5091,
+      "mean_token_accuracy": 0.15975141078233718,
+      "num_tokens": 4512071.0,
+      "step": 2475
+    },
+    {
+      "entropy": 5.736668491363526,
+      "epoch": 2.054681027340514,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00048043492709563877,
+      "loss": 5.3461,
+      "mean_token_accuracy": 0.17059434503316878,
+      "num_tokens": 4520219.0,
+      "step": 2480
+    },
+    {
+      "entropy": 5.672813034057617,
+      "epoch": 2.0588235294117645,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048030438549293193,
+      "loss": 5.5568,
+      "mean_token_accuracy": 0.15284566581249237,
+      "num_tokens": 4529386.0,
+      "step": 2485
+    },
+    {
+      "entropy": 5.830966377258301,
+      "epoch": 2.0629660314830156,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00048017342976884424,
+      "loss": 5.5638,
+      "mean_token_accuracy": 0.15199215039610864,
+      "num_tokens": 4538860.0,
+      "step": 2490
+    },
+    {
+      "entropy": 5.761076402664185,
+      "epoch": 2.0671085335542667,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048004206018752773,
+      "loss": 5.5299,
+      "mean_token_accuracy": 0.15335657596588134,
+      "num_tokens": 4547842.0,
+      "step": 2495
+    },
+    {
+      "entropy": 5.733208799362183,
+      "epoch": 2.071251035625518,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047991027701396895,
+      "loss": 5.5026,
+      "mean_token_accuracy": 0.15411428660154342,
+      "num_tokens": 4556238.0,
+      "step": 2500
+    },
+    {
+      "epoch": 2.071251035625518,
+      "eval_entropy": 5.642364594473768,
+      "eval_loss": 6.032641410827637,
+      "eval_mean_token_accuracy": 0.1416530203399882,
+      "eval_num_tokens": 4556238.0,
+      "eval_runtime": 2.7817,
+      "eval_samples_per_second": 1347.034,
+      "eval_steps_per_second": 168.604,
+      "step": 2500
+    },
+    {
+      "entropy": 5.732073068618774,
+      "epoch": 2.075393537696769,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004797780805139892,
+      "loss": 5.5069,
+      "mean_token_accuracy": 0.1587075412273407,
+      "num_tokens": 4565684.0,
+      "step": 2505
+    },
+    {
+      "entropy": 5.722462224960327,
+      "epoch": 2.07953603976802,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004796454709542432,
+      "loss": 5.467,
+      "mean_token_accuracy": 0.1590041533112526,
+      "num_tokens": 4575001.0,
+      "step": 2510
+    },
+    {
+      "entropy": 5.797696113586426,
+      "epoch": 2.083678541839271,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004795124486022189,
+      "loss": 5.5732,
+      "mean_token_accuracy": 0.15362634360790253,
+      "num_tokens": 4584128.0,
+      "step": 2515
+    },
+    {
+      "entropy": 5.711380529403686,
+      "epoch": 2.087821043910522,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047937901372623694,
+      "loss": 5.4191,
+      "mean_token_accuracy": 0.16894411891698838,
+      "num_tokens": 4593011.0,
+      "step": 2520
+    },
+    {
+      "entropy": 5.688450145721435,
+      "epoch": 2.091963545981773,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00047924516659545005,
+      "loss": 5.4668,
+      "mean_token_accuracy": 0.16164053976535797,
+      "num_tokens": 4602676.0,
+      "step": 2525
+    },
+    {
+      "entropy": 5.79151463508606,
+      "epoch": 2.096106048053024,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004791109074798425,
+      "loss": 5.5522,
+      "mean_token_accuracy": 0.15433578938245773,
+      "num_tokens": 4611915.0,
+      "step": 2530
+    },
+    {
+      "entropy": 5.748647403717041,
+      "epoch": 2.100248550124275,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004789762366502296,
+      "loss": 5.5184,
+      "mean_token_accuracy": 0.15959300100803375,
+      "num_tokens": 4621396.0,
+      "step": 2535
+    },
+    {
+      "entropy": 5.7374598503112795,
+      "epoch": 2.1043910521955262,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004788411543782571,
+      "loss": 5.5201,
+      "mean_token_accuracy": 0.1591552659869194,
+      "num_tokens": 4630533.0,
+      "step": 2540
+    },
+    {
+      "entropy": 5.678498649597168,
+      "epoch": 2.108533554266777,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004787056609364008,
+      "loss": 5.4599,
+      "mean_token_accuracy": 0.1542729303240776,
+      "num_tokens": 4639023.0,
+      "step": 2545
+    },
+    {
+      "entropy": 5.711474943161011,
+      "epoch": 2.112676056338028,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004785697565979657,
+      "loss": 5.4732,
+      "mean_token_accuracy": 0.15900285094976424,
+      "num_tokens": 4647975.0,
+      "step": 2550
+    },
+    {
+      "entropy": 5.72883243560791,
+      "epoch": 2.116818558409279,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004784334416370857,
+      "loss": 5.498,
+      "mean_token_accuracy": 0.15594277828931807,
+      "num_tokens": 4657555.0,
+      "step": 2555
+    },
+    {
+      "entropy": 5.745093822479248,
+      "epoch": 2.1209610604805302,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004782967163287231,
+      "loss": 5.4193,
+      "mean_token_accuracy": 0.16100153774023057,
+      "num_tokens": 4667228.0,
+      "step": 2560
+    },
+    {
+      "entropy": 5.716836738586426,
+      "epoch": 2.1251035625517813,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047815958094866756,
+      "loss": 5.4957,
+      "mean_token_accuracy": 0.1513967014849186,
+      "num_tokens": 4676723.0,
+      "step": 2565
+    },
+    {
+      "entropy": 5.7276163578033445,
+      "epoch": 2.1292460646230325,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004780220357735363,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.15479894131422042,
+      "num_tokens": 4686241.0,
+      "step": 2570
+    },
+    {
+      "entropy": 5.764811038970947,
+      "epoch": 2.1333885666942836,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047788408108077294,
+      "loss": 5.5404,
+      "mean_token_accuracy": 0.1561874568462372,
+      "num_tokens": 4695195.0,
+      "step": 2575
+    },
+    {
+      "entropy": 5.739376497268677,
+      "epoch": 2.1375310687655342,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004777457171486471,
+      "loss": 5.5871,
+      "mean_token_accuracy": 0.15551834553480148,
+      "num_tokens": 4704716.0,
+      "step": 2580
+    },
+    {
+      "entropy": 5.769967555999756,
+      "epoch": 2.1416735708367853,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004776069442562541,
+      "loss": 5.5562,
+      "mean_token_accuracy": 0.15339450240135194,
+      "num_tokens": 4713720.0,
+      "step": 2585
+    },
+    {
+      "entropy": 5.733342504501342,
+      "epoch": 2.1458160729080364,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004774677626835138,
+      "loss": 5.5366,
+      "mean_token_accuracy": 0.15301723331212996,
+      "num_tokens": 4722428.0,
+      "step": 2590
+    },
+    {
+      "entropy": 5.787648677825928,
+      "epoch": 2.1499585749792876,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00047732817271117084,
+      "loss": 5.5365,
+      "mean_token_accuracy": 0.15334974452853203,
+      "num_tokens": 4732395.0,
+      "step": 2595
+    },
+    {
+      "entropy": 5.773520803451538,
+      "epoch": 2.1541010770505387,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004771881746207934,
+      "loss": 5.5206,
+      "mean_token_accuracy": 0.15674114525318145,
+      "num_tokens": 4741071.0,
+      "step": 2600
+    },
+    {
+      "entropy": 5.607013797760009,
+      "epoch": 2.1582435791217898,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047704776869477285,
+      "loss": 5.5153,
+      "mean_token_accuracy": 0.15076877027750016,
+      "num_tokens": 4749876.0,
+      "step": 2605
+    },
+    {
+      "entropy": 5.784313154220581,
+      "epoch": 2.1623860811930404,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00047690695521632344,
+      "loss": 5.4669,
+      "mean_token_accuracy": 0.16002854704856873,
+      "num_tokens": 4758721.0,
+      "step": 2610
+    },
+    {
+      "entropy": 5.6919313907623295,
+      "epoch": 2.1665285832642915,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047676573446948114,
+      "loss": 5.4832,
+      "mean_token_accuracy": 0.15925751626491547,
+      "num_tokens": 4767162.0,
+      "step": 2615
+    },
+    {
+      "entropy": 5.71550760269165,
+      "epoch": 2.1706710853355426,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047662410673910376,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.1629578560590744,
+      "num_tokens": 4776397.0,
+      "step": 2620
+    },
+    {
+      "entropy": 5.665811157226562,
+      "epoch": 2.1748135874067938,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047648207231087,
+      "loss": 5.4579,
+      "mean_token_accuracy": 0.15894875824451446,
+      "num_tokens": 4784822.0,
+      "step": 2625
+    },
+    {
+      "entropy": 5.71003270149231,
+      "epoch": 2.178956089478045,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004763396314712786,
+      "loss": 5.5297,
+      "mean_token_accuracy": 0.15831661075353623,
+      "num_tokens": 4794272.0,
+      "step": 2630
+    },
+    {
+      "entropy": 5.64026665687561,
+      "epoch": 2.183098591549296,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004761967845076484,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.15510014593601226,
+      "num_tokens": 4804314.0,
+      "step": 2635
+    },
+    {
+      "entropy": 5.6847330093383786,
+      "epoch": 2.1872410936205466,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004760535317081174,
+      "loss": 5.4694,
+      "mean_token_accuracy": 0.15845878273248673,
+      "num_tokens": 4812685.0,
+      "step": 2640
+    },
+    {
+      "entropy": 5.715235567092895,
+      "epoch": 2.1913835956917977,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047590987336164207,
+      "loss": 5.5532,
+      "mean_token_accuracy": 0.1562129870057106,
+      "num_tokens": 4821761.0,
+      "step": 2645
+    },
+    {
+      "entropy": 5.741413831710815,
+      "epoch": 2.195526097763049,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00047576580975799705,
+      "loss": 5.5307,
+      "mean_token_accuracy": 0.1623195379972458,
+      "num_tokens": 4830515.0,
+      "step": 2650
+    },
+    {
+      "entropy": 5.782008934020996,
+      "epoch": 2.1996685998343,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004756213411877743,
+      "loss": 5.5059,
+      "mean_token_accuracy": 0.14879967421293258,
+      "num_tokens": 4840741.0,
+      "step": 2655
+    },
+    {
+      "entropy": 5.612497425079345,
+      "epoch": 2.203811101905551,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047547646794238277,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.16198884546756745,
+      "num_tokens": 4849571.0,
+      "step": 2660
+    },
+    {
+      "entropy": 5.689143991470337,
+      "epoch": 2.207953603976802,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047533119031404757,
+      "loss": 5.4138,
+      "mean_token_accuracy": 0.1696420982480049,
+      "num_tokens": 4857194.0,
+      "step": 2665
+    },
+    {
+      "entropy": 5.632621717453003,
+      "epoch": 2.212096106048053,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00047518550859580966,
+      "loss": 5.5074,
+      "mean_token_accuracy": 0.1592964008450508,
+      "num_tokens": 4865894.0,
+      "step": 2670
+    },
+    {
+      "entropy": 5.74289755821228,
+      "epoch": 2.216238608119304,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004750394230815249,
+      "loss": 5.5268,
+      "mean_token_accuracy": 0.15829544067382811,
+      "num_tokens": 4875131.0,
+      "step": 2675
+    },
+    {
+      "entropy": 5.670539522171021,
+      "epoch": 2.220381110190555,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047489293406586375,
+      "loss": 5.3777,
+      "mean_token_accuracy": 0.1620385766029358,
+      "num_tokens": 4884098.0,
+      "step": 2680
+    },
+    {
+      "entropy": 5.657269620895386,
+      "epoch": 2.224523612261806,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004747460418443106,
+      "loss": 5.4373,
+      "mean_token_accuracy": 0.15941016003489494,
+      "num_tokens": 4892963.0,
+      "step": 2685
+    },
+    {
+      "entropy": 5.690485191345215,
+      "epoch": 2.2286661143330573,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047459874671316305,
+      "loss": 5.4903,
+      "mean_token_accuracy": 0.15749651044607163,
+      "num_tokens": 4902097.0,
+      "step": 2690
+    },
+    {
+      "entropy": 5.608357000350952,
+      "epoch": 2.2328086164043084,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00047445104896953153,
+      "loss": 5.4015,
+      "mean_token_accuracy": 0.16532779037952422,
+      "num_tokens": 4910469.0,
+      "step": 2695
+    },
+    {
+      "entropy": 5.82715744972229,
+      "epoch": 2.236951118475559,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047430294891133846,
+      "loss": 5.6892,
+      "mean_token_accuracy": 0.1501491665840149,
+      "num_tokens": 4921024.0,
+      "step": 2700
+    },
+    {
+      "entropy": 5.749764776229858,
+      "epoch": 2.24109362054681,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004741544468373179,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15474629402160645,
+      "num_tokens": 4930297.0,
+      "step": 2705
+    },
+    {
+      "entropy": 5.687776947021485,
+      "epoch": 2.2452361226180613,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00047400554304701474,
+      "loss": 5.4692,
+      "mean_token_accuracy": 0.16049361675977708,
+      "num_tokens": 4938971.0,
+      "step": 2710
+    },
+    {
+      "entropy": 5.571053695678711,
+      "epoch": 2.2493786246893124,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047385623784078427,
+      "loss": 5.4899,
+      "mean_token_accuracy": 0.15803302526474,
+      "num_tokens": 4948531.0,
+      "step": 2715
+    },
+    {
+      "entropy": 5.787879133224488,
+      "epoch": 2.2535211267605635,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004737065315197913,
+      "loss": 5.5664,
+      "mean_token_accuracy": 0.1587745025753975,
+      "num_tokens": 4957430.0,
+      "step": 2720
+    },
+    {
+      "entropy": 5.720958280563354,
+      "epoch": 2.2576636288318146,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047355642438600987,
+      "loss": 5.5478,
+      "mean_token_accuracy": 0.16044806241989135,
+      "num_tokens": 4966681.0,
+      "step": 2725
+    },
+    {
+      "entropy": 5.638753175735474,
+      "epoch": 2.2618061309030653,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004734059167422225,
+      "loss": 5.4123,
+      "mean_token_accuracy": 0.1639780133962631,
+      "num_tokens": 4975327.0,
+      "step": 2730
+    },
+    {
+      "entropy": 5.634887552261352,
+      "epoch": 2.2659486329743164,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047325500889201956,
+      "loss": 5.4725,
+      "mean_token_accuracy": 0.16207436099648476,
+      "num_tokens": 4983741.0,
+      "step": 2735
+    },
+    {
+      "entropy": 5.673438644409179,
+      "epoch": 2.2700911350455675,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004731037011397986,
+      "loss": 5.5662,
+      "mean_token_accuracy": 0.15884149968624114,
+      "num_tokens": 4993171.0,
+      "step": 2740
+    },
+    {
+      "entropy": 5.752307653427124,
+      "epoch": 2.2742336371168186,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047295199379076403,
+      "loss": 5.6,
+      "mean_token_accuracy": 0.15322241187095642,
+      "num_tokens": 5002810.0,
+      "step": 2745
+    },
+    {
+      "entropy": 5.7073346138000485,
+      "epoch": 2.2783761391880697,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000472799887150926,
+      "loss": 5.4893,
+      "mean_token_accuracy": 0.15741414427757264,
+      "num_tokens": 5011875.0,
+      "step": 2750
+    },
+    {
+      "entropy": 5.679959297180176,
+      "epoch": 2.282518641259321,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004726473815271003,
+      "loss": 5.5349,
+      "mean_token_accuracy": 0.15855301022529603,
+      "num_tokens": 5020780.0,
+      "step": 2755
+    },
+    {
+      "entropy": 5.669374132156372,
+      "epoch": 2.286661143330572,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047249447722690747,
+      "loss": 5.4331,
+      "mean_token_accuracy": 0.16046710908412934,
+      "num_tokens": 5029896.0,
+      "step": 2760
+    },
+    {
+      "entropy": 5.652454280853272,
+      "epoch": 2.2908036454018226,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047234117455877215,
+      "loss": 5.4932,
+      "mean_token_accuracy": 0.1545606277883053,
+      "num_tokens": 5038956.0,
+      "step": 2765
+    },
+    {
+      "entropy": 5.639697694778443,
+      "epoch": 2.2949461474730737,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004721874738319225,
+      "loss": 5.4594,
+      "mean_token_accuracy": 0.17258906960487366,
+      "num_tokens": 5047005.0,
+      "step": 2770
+    },
+    {
+      "entropy": 5.655842065811157,
+      "epoch": 2.299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004720333753563898,
+      "loss": 5.5008,
+      "mean_token_accuracy": 0.15116662830114364,
+      "num_tokens": 5056475.0,
+      "step": 2775
+    },
+    {
+      "entropy": 5.704644584655762,
+      "epoch": 2.303231151615576,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00047187887944300747,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16439782381057738,
+      "num_tokens": 5064978.0,
+      "step": 2780
+    },
+    {
+      "entropy": 5.726413679122925,
+      "epoch": 2.307373653686827,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004717239864034107,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.15506226867437362,
+      "num_tokens": 5074235.0,
+      "step": 2785
+    },
+    {
+      "entropy": 5.662968683242798,
+      "epoch": 2.3115161557580777,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047156869655003554,
+      "loss": 5.4481,
+      "mean_token_accuracy": 0.16141191571950914,
+      "num_tokens": 5082386.0,
+      "step": 2790
+    },
+    {
+      "entropy": 5.631324100494385,
+      "epoch": 2.315658657829329,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047141301019611875,
+      "loss": 5.4164,
+      "mean_token_accuracy": 0.16636510640382768,
+      "num_tokens": 5090634.0,
+      "step": 2795
+    },
+    {
+      "entropy": 5.818879795074463,
+      "epoch": 2.31980115990058,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004712569276556967,
+      "loss": 5.5906,
+      "mean_token_accuracy": 0.14937217235565187,
+      "num_tokens": 5099003.0,
+      "step": 2800
+    },
+    {
+      "entropy": 5.617757177352905,
+      "epoch": 2.323943661971831,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00047110044924360484,
+      "loss": 5.6681,
+      "mean_token_accuracy": 0.1565680392086506,
+      "num_tokens": 5108631.0,
+      "step": 2805
+    },
+    {
+      "entropy": 5.732515859603882,
+      "epoch": 2.328086164043082,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00047094357527547725,
+      "loss": 5.4545,
+      "mean_token_accuracy": 0.15828853249549865,
+      "num_tokens": 5117309.0,
+      "step": 2810
+    },
+    {
+      "entropy": 5.686485624313354,
+      "epoch": 2.332228666114333,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004707863060677459,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.1627561032772064,
+      "num_tokens": 5126305.0,
+      "step": 2815
+    },
+    {
+      "entropy": 5.821760654449463,
+      "epoch": 2.3363711681855843,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00047062864193764,
+      "loss": 5.6022,
+      "mean_token_accuracy": 0.15580221712589265,
+      "num_tokens": 5135338.0,
+      "step": 2820
+    },
+    {
+      "entropy": 5.676449155807495,
+      "epoch": 2.340513670256835,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047047058320318525,
+      "loss": 5.5298,
+      "mean_token_accuracy": 0.16162888556718827,
+      "num_tokens": 5144518.0,
+      "step": 2825
+    },
+    {
+      "entropy": 5.702890157699585,
+      "epoch": 2.344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004703121301832034,
+      "loss": 5.6262,
+      "mean_token_accuracy": 0.15101130157709122,
+      "num_tokens": 5154102.0,
+      "step": 2830
+    },
+    {
+      "entropy": 5.7891247272491455,
+      "epoch": 2.348798674399337,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047015328319731153,
+      "loss": 5.5642,
+      "mean_token_accuracy": 0.15612353384494781,
+      "num_tokens": 5163719.0,
+      "step": 2835
+    },
+    {
+      "entropy": 5.677855682373047,
+      "epoch": 2.3529411764705883,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004699940425659215,
+      "loss": 5.5247,
+      "mean_token_accuracy": 0.15519936084747316,
+      "num_tokens": 5173192.0,
+      "step": 2840
+    },
+    {
+      "entropy": 5.622324132919312,
+      "epoch": 2.3570836785418394,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00046983440861023877,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.1663823500275612,
+      "num_tokens": 5182438.0,
+      "step": 2845
+    },
+    {
+      "entropy": 5.699106454849243,
+      "epoch": 2.36122618061309,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046967438165226275,
+      "loss": 5.6015,
+      "mean_token_accuracy": 0.15352728664875032,
+      "num_tokens": 5191595.0,
+      "step": 2850
+    },
+    {
+      "entropy": 5.659265756607056,
+      "epoch": 2.365368682684341,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004695139620147851,
+      "loss": 5.4682,
+      "mean_token_accuracy": 0.1643056571483612,
+      "num_tokens": 5200174.0,
+      "step": 2855
+    },
+    {
+      "entropy": 5.713242053985596,
+      "epoch": 2.3695111847555923,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046935315002138994,
+      "loss": 5.5804,
+      "mean_token_accuracy": 0.15417435318231582,
+      "num_tokens": 5210454.0,
+      "step": 2860
+    },
+    {
+      "entropy": 5.727554702758789,
+      "epoch": 2.3736536868268434,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004691919459964525,
+      "loss": 5.5019,
+      "mean_token_accuracy": 0.16056040227413176,
+      "num_tokens": 5219243.0,
+      "step": 2865
+    },
+    {
+      "entropy": 5.5862212657928465,
+      "epoch": 2.3777961888980945,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046903035026513894,
+      "loss": 5.4319,
+      "mean_token_accuracy": 0.1613735228776932,
+      "num_tokens": 5228656.0,
+      "step": 2870
+    },
+    {
+      "entropy": 5.587289905548095,
+      "epoch": 2.3819386909693456,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004688683631534056,
+      "loss": 5.4859,
+      "mean_token_accuracy": 0.156366066634655,
+      "num_tokens": 5237807.0,
+      "step": 2875
+    },
+    {
+      "entropy": 5.775411653518677,
+      "epoch": 2.3860811930405967,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004687059849879981,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.1609719067811966,
+      "num_tokens": 5247432.0,
+      "step": 2880
+    },
+    {
+      "entropy": 5.597807741165161,
+      "epoch": 2.3902236951118474,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00046854321609645093,
+      "loss": 5.4145,
+      "mean_token_accuracy": 0.16111126840114592,
+      "num_tokens": 5256680.0,
+      "step": 2885
+    },
+    {
+      "entropy": 5.6380726337432865,
+      "epoch": 2.3943661971830985,
+      "grad_norm": 2.15625,
+      "learning_rate": 0.00046838005680708677,
+      "loss": 5.5296,
+      "mean_token_accuracy": 0.14821895360946655,
+      "num_tokens": 5266793.0,
+      "step": 2890
+    },
+    {
+      "entropy": 5.710390281677246,
+      "epoch": 2.3985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046821650744901573,
+      "loss": 5.4452,
+      "mean_token_accuracy": 0.15857197493314742,
+      "num_tokens": 5275028.0,
+      "step": 2895
+    },
+    {
+      "entropy": 5.598506593704224,
+      "epoch": 2.4026512013256007,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004680525683521347,
+      "loss": 5.5226,
+      "mean_token_accuracy": 0.1566852644085884,
+      "num_tokens": 5284162.0,
+      "step": 2900
+    },
+    {
+      "entropy": 5.757242631912232,
+      "epoch": 2.406793703396852,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004678882398471269,
+      "loss": 5.5911,
+      "mean_token_accuracy": 0.15474308133125306,
+      "num_tokens": 5293263.0,
+      "step": 2905
+    },
+    {
+      "entropy": 5.654598569869995,
+      "epoch": 2.4109362054681025,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046772352226546066,
+      "loss": 5.477,
+      "mean_token_accuracy": 0.1666618600487709,
+      "num_tokens": 5301373.0,
+      "step": 2910
+    },
+    {
+      "entropy": 5.643638467788696,
+      "epoch": 2.4150787075393536,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004675584159393895,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.15203802064061164,
+      "num_tokens": 5311009.0,
+      "step": 2915
+    },
+    {
+      "entropy": 5.699149656295776,
+      "epoch": 2.4192212096106047,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046739292120195083,
+      "loss": 5.5245,
+      "mean_token_accuracy": 0.16085631400346756,
+      "num_tokens": 5320341.0,
+      "step": 2920
+    },
+    {
+      "entropy": 5.642888498306275,
+      "epoch": 2.423363711681856,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004672270383869657,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1610630214214325,
+      "num_tokens": 5329250.0,
+      "step": 2925
+    },
+    {
+      "entropy": 5.62935357093811,
+      "epoch": 2.427506213753107,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004670607678290379,
+      "loss": 5.4471,
+      "mean_token_accuracy": 0.16571807861328125,
+      "num_tokens": 5336515.0,
+      "step": 2930
+    },
+    {
+      "entropy": 5.655415058135986,
+      "epoch": 2.431648715824358,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004668941098635532,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.1595415398478508,
+      "num_tokens": 5346043.0,
+      "step": 2935
+    },
+    {
+      "entropy": 5.642036104202271,
+      "epoch": 2.435791217895609,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00046672706482667897,
+      "loss": 5.4925,
+      "mean_token_accuracy": 0.15832271426916122,
+      "num_tokens": 5355124.0,
+      "step": 2940
+    },
+    {
+      "entropy": 5.647988367080688,
+      "epoch": 2.43993371996686,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004665596330553633,
+      "loss": 5.5051,
+      "mean_token_accuracy": 0.1597411409020424,
+      "num_tokens": 5364556.0,
+      "step": 2945
+    },
+    {
+      "entropy": 5.67459397315979,
+      "epoch": 2.444076222038111,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046639181488733445,
+      "loss": 5.5316,
+      "mean_token_accuracy": 0.15941161364316941,
+      "num_tokens": 5373778.0,
+      "step": 2950
+    },
+    {
+      "entropy": 5.725692987442017,
+      "epoch": 2.448218724109362,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004662236106610999,
+      "loss": 5.5123,
+      "mean_token_accuracy": 0.15816445648670197,
+      "num_tokens": 5382633.0,
+      "step": 2955
+    },
+    {
+      "entropy": 5.5606146335601805,
+      "epoch": 2.452361226180613,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00046605502071594604,
+      "loss": 5.4163,
+      "mean_token_accuracy": 0.16387673169374467,
+      "num_tokens": 5391442.0,
+      "step": 2960
+    },
+    {
+      "entropy": 5.569208765029908,
+      "epoch": 2.4565037282518642,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004658860453919371,
+      "loss": 5.4388,
+      "mean_token_accuracy": 0.1621423229575157,
+      "num_tokens": 5400504.0,
+      "step": 2965
+    },
+    {
+      "entropy": 5.587312078475952,
+      "epoch": 2.460646230323115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004657166850299149,
+      "loss": 5.4448,
+      "mean_token_accuracy": 0.16361159086227417,
+      "num_tokens": 5408939.0,
+      "step": 2970
+    },
+    {
+      "entropy": 5.629118537902832,
+      "epoch": 2.464788732394366,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004655469399714978,
+      "loss": 5.4722,
+      "mean_token_accuracy": 0.1575179159641266,
+      "num_tokens": 5418934.0,
+      "step": 2975
+    },
+    {
+      "entropy": 5.572103595733642,
+      "epoch": 2.468931234465617,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004653768105590799,
+      "loss": 5.4955,
+      "mean_token_accuracy": 0.16008511185646057,
+      "num_tokens": 5427894.0,
+      "step": 2980
+    },
+    {
+      "entropy": 5.683330011367798,
+      "epoch": 2.4730737365368682,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046520629713583115,
+      "loss": 5.5003,
+      "mean_token_accuracy": 0.1613202139735222,
+      "num_tokens": 5436830.0,
+      "step": 2985
+    },
+    {
+      "entropy": 5.597742080688477,
+      "epoch": 2.4772162386081193,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046503540004569555,
+      "loss": 5.4814,
+      "mean_token_accuracy": 0.16423845291137695,
+      "num_tokens": 5445504.0,
+      "step": 2990
+    },
+    {
+      "entropy": 5.679887342453003,
+      "epoch": 2.4813587406793705,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046486411963339125,
+      "loss": 5.5405,
+      "mean_token_accuracy": 0.15501321628689765,
+      "num_tokens": 5455378.0,
+      "step": 2995
+    },
+    {
+      "entropy": 5.712473011016845,
+      "epoch": 2.4855012427506216,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046469245624440955,
+      "loss": 5.6107,
+      "mean_token_accuracy": 0.1589423656463623,
+      "num_tokens": 5465334.0,
+      "step": 3000
+    },
+    {
+      "epoch": 2.4855012427506216,
+      "eval_entropy": 5.590163738234465,
+      "eval_loss": 5.965892314910889,
+      "eval_mean_token_accuracy": 0.14734836894947329,
+      "eval_num_tokens": 5465334.0,
+      "eval_runtime": 2.7526,
+      "eval_samples_per_second": 1361.234,
+      "eval_steps_per_second": 170.381,
+      "step": 3000
+    },
+    {
+      "entropy": 5.751126146316528,
+      "epoch": 2.4896437448218722,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046452041022501423,
+      "loss": 5.5858,
+      "mean_token_accuracy": 0.15555662512779236,
+      "num_tokens": 5475701.0,
+      "step": 3005
+    },
+    {
+      "entropy": 5.699931526184082,
+      "epoch": 2.4937862468931233,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004643479819222411,
+      "loss": 5.4828,
+      "mean_token_accuracy": 0.16229774355888366,
+      "num_tokens": 5485244.0,
+      "step": 3010
+    },
+    {
+      "entropy": 5.596950387954712,
+      "epoch": 2.4979287489643744,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046417517168389664,
+      "loss": 5.4434,
+      "mean_token_accuracy": 0.1682340309023857,
+      "num_tokens": 5493587.0,
+      "step": 3015
+    },
+    {
+      "entropy": 5.6203169345855715,
+      "epoch": 2.5020712510356256,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004640019798585581,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.15738681554794312,
+      "num_tokens": 5503117.0,
+      "step": 3020
+    },
+    {
+      "entropy": 5.762682390213013,
+      "epoch": 2.5062137531068767,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046382840679557233,
+      "loss": 5.5352,
+      "mean_token_accuracy": 0.16024575680494307,
+      "num_tokens": 5512742.0,
+      "step": 3025
+    },
+    {
+      "entropy": 5.647499704360962,
+      "epoch": 2.5103562551781273,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00046365445284505516,
+      "loss": 5.4968,
+      "mean_token_accuracy": 0.16166605204343795,
+      "num_tokens": 5521862.0,
+      "step": 3030
+    },
+    {
+      "entropy": 5.597900772094727,
+      "epoch": 2.5144987572493784,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.0004634801183578907,
+      "loss": 5.488,
+      "mean_token_accuracy": 0.1608501434326172,
+      "num_tokens": 5531244.0,
+      "step": 3035
+    },
+    {
+      "entropy": 5.655751419067383,
+      "epoch": 2.5186412593206295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046330540368573063,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15176820158958435,
+      "num_tokens": 5540786.0,
+      "step": 3040
+    },
+    {
+      "entropy": 5.7291028022766115,
+      "epoch": 2.5227837613918807,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046313030918099365,
+      "loss": 5.5224,
+      "mean_token_accuracy": 0.1602902241051197,
+      "num_tokens": 5549961.0,
+      "step": 3045
+    },
+    {
+      "entropy": 5.620108366012573,
+      "epoch": 2.5269262634631318,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00046295483519686437,
+      "loss": 5.4591,
+      "mean_token_accuracy": 0.16417455673217773,
+      "num_tokens": 5558941.0,
+      "step": 3050
+    },
+    {
+      "entropy": 5.644694232940674,
+      "epoch": 2.531068765534383,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046277898208729306,
+      "loss": 5.4673,
+      "mean_token_accuracy": 0.16716189235448836,
+      "num_tokens": 5567630.0,
+      "step": 3055
+    },
+    {
+      "entropy": 5.586954879760742,
+      "epoch": 2.535211267605634,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004626027502069947,
+      "loss": 5.4301,
+      "mean_token_accuracy": 0.16521373838186265,
+      "num_tokens": 5576430.0,
+      "step": 3060
+    },
+    {
+      "entropy": 5.650178289413452,
+      "epoch": 2.539353769676885,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046242613991144814,
+      "loss": 5.5444,
+      "mean_token_accuracy": 0.1609214127063751,
+      "num_tokens": 5584785.0,
+      "step": 3065
+    },
+    {
+      "entropy": 5.585511493682861,
+      "epoch": 2.5434962717481358,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046224915155689586,
+      "loss": 5.478,
+      "mean_token_accuracy": 0.16044741719961167,
+      "num_tokens": 5594583.0,
+      "step": 3070
+    },
+    {
+      "entropy": 5.638197040557861,
+      "epoch": 2.547638773819387,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046207178550034244,
+      "loss": 5.4306,
+      "mean_token_accuracy": 0.1608849883079529,
+      "num_tokens": 5603498.0,
+      "step": 3075
+    },
+    {
+      "entropy": 5.7161966323852536,
+      "epoch": 2.551781275890638,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004618940420995547,
+      "loss": 5.5685,
+      "mean_token_accuracy": 0.15440558269619942,
+      "num_tokens": 5613101.0,
+      "step": 3080
+    },
+    {
+      "entropy": 5.665849494934082,
+      "epoch": 2.555923777961889,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004617159217130606,
+      "loss": 5.5409,
+      "mean_token_accuracy": 0.1569191187620163,
+      "num_tokens": 5621821.0,
+      "step": 3085
+    },
+    {
+      "entropy": 5.711861181259155,
+      "epoch": 2.5600662800331397,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004615374247001483,
+      "loss": 5.5738,
+      "mean_token_accuracy": 0.15701586306095122,
+      "num_tokens": 5631006.0,
+      "step": 3090
+    },
+    {
+      "entropy": 5.674423551559448,
+      "epoch": 2.564208782104391,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004613585514208659,
+      "loss": 5.5295,
+      "mean_token_accuracy": 0.15232180580496787,
+      "num_tokens": 5640159.0,
+      "step": 3095
+    },
+    {
+      "entropy": 5.592060613632202,
+      "epoch": 2.568351284175642,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046117930223602016,
+      "loss": 5.4003,
+      "mean_token_accuracy": 0.1694741129875183,
+      "num_tokens": 5648369.0,
+      "step": 3100
+    },
+    {
+      "entropy": 5.5982965469360355,
+      "epoch": 2.572493786246893,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004609996775071765,
+      "loss": 5.459,
+      "mean_token_accuracy": 0.1591326355934143,
+      "num_tokens": 5657669.0,
+      "step": 3105
+    },
+    {
+      "entropy": 5.56780686378479,
+      "epoch": 2.576636288318144,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004608196775966575,
+      "loss": 5.5319,
+      "mean_token_accuracy": 0.1610974356532097,
+      "num_tokens": 5666601.0,
+      "step": 3110
+    },
+    {
+      "entropy": 5.639773225784301,
+      "epoch": 2.5807787903893953,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046063930286754267,
+      "loss": 5.4465,
+      "mean_token_accuracy": 0.16618527621030807,
+      "num_tokens": 5675243.0,
+      "step": 3115
+    },
+    {
+      "entropy": 5.56855001449585,
+      "epoch": 2.5849212924606464,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00046045855368366756,
+      "loss": 5.466,
+      "mean_token_accuracy": 0.1630399063229561,
+      "num_tokens": 5683646.0,
+      "step": 3120
+    },
+    {
+      "entropy": 5.682586193084717,
+      "epoch": 2.5890637945318975,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.000460277430409623,
+      "loss": 5.5129,
+      "mean_token_accuracy": 0.17162407487630843,
+      "num_tokens": 5693069.0,
+      "step": 3125
+    },
+    {
+      "entropy": 5.587219524383545,
+      "epoch": 2.593206296603148,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046009593341075444,
+      "loss": 5.3754,
+      "mean_token_accuracy": 0.16499391198158264,
+      "num_tokens": 5701527.0,
+      "step": 3130
+    },
+    {
+      "entropy": 5.561956834793091,
+      "epoch": 2.5973487986743993,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004599140630531612,
+      "loss": 5.5403,
+      "mean_token_accuracy": 0.15682477951049806,
+      "num_tokens": 5710379.0,
+      "step": 3135
+    },
+    {
+      "entropy": 5.69692587852478,
+      "epoch": 2.6014913007456504,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004597318197036956,
+      "loss": 5.4524,
+      "mean_token_accuracy": 0.1643553927540779,
+      "num_tokens": 5719217.0,
+      "step": 3140
+    },
+    {
+      "entropy": 5.629226970672607,
+      "epoch": 2.6056338028169015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004595492037299624,
+      "loss": 5.5535,
+      "mean_token_accuracy": 0.16214104294776915,
+      "num_tokens": 5728331.0,
+      "step": 3145
+    },
+    {
+      "entropy": 5.608061027526856,
+      "epoch": 2.6097763048881526,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045936621550031806,
+      "loss": 5.5107,
+      "mean_token_accuracy": 0.16073764860630035,
+      "num_tokens": 5737696.0,
+      "step": 3150
+    },
+    {
+      "entropy": 5.731885099411011,
+      "epoch": 2.6139188069594033,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045918285538386973,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.16164542436599733,
+      "num_tokens": 5746191.0,
+      "step": 3155
+    },
+    {
+      "entropy": 5.703127813339234,
+      "epoch": 2.6180613090306544,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00045899912375047485,
+      "loss": 5.5619,
+      "mean_token_accuracy": 0.1629435494542122,
+      "num_tokens": 5754824.0,
+      "step": 3160
+    },
+    {
+      "entropy": 5.638229656219482,
+      "epoch": 2.6222038111019055,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045881502097074023,
+      "loss": 5.537,
+      "mean_token_accuracy": 0.1518124133348465,
+      "num_tokens": 5764863.0,
+      "step": 3165
+    },
+    {
+      "entropy": 5.614318180084228,
+      "epoch": 2.6263463131731566,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004586305474160212,
+      "loss": 5.5459,
+      "mean_token_accuracy": 0.15642993301153182,
+      "num_tokens": 5774273.0,
+      "step": 3170
+    },
+    {
+      "entropy": 5.666326427459717,
+      "epoch": 2.6304888152444077,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045844570345842116,
+      "loss": 5.5044,
+      "mean_token_accuracy": 0.16042826995253562,
+      "num_tokens": 5784085.0,
+      "step": 3175
+    },
+    {
+      "entropy": 5.659371709823608,
+      "epoch": 2.634631317315659,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004582604894707906,
+      "loss": 5.5336,
+      "mean_token_accuracy": 0.16884370446205138,
+      "num_tokens": 5793921.0,
+      "step": 3180
+    },
+    {
+      "entropy": 5.664378356933594,
+      "epoch": 2.63877381938691,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00045807490582672634,
+      "loss": 5.4972,
+      "mean_token_accuracy": 0.15294444859027861,
+      "num_tokens": 5803902.0,
+      "step": 3185
+    },
+    {
+      "entropy": 5.542481708526611,
+      "epoch": 2.6429163214581606,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00045788895290057083,
+      "loss": 5.4129,
+      "mean_token_accuracy": 0.16788192689418793,
+      "num_tokens": 5812089.0,
+      "step": 3190
+    },
+    {
+      "entropy": 5.6802209377288815,
+      "epoch": 2.6470588235294117,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00045770263106741137,
+      "loss": 5.5784,
+      "mean_token_accuracy": 0.1578851893544197,
+      "num_tokens": 5821072.0,
+      "step": 3195
+    },
+    {
+      "entropy": 5.628516340255738,
+      "epoch": 2.651201325600663,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004575159407030797,
+      "loss": 5.4029,
+      "mean_token_accuracy": 0.16388181746006011,
+      "num_tokens": 5829725.0,
+      "step": 3200
+    },
+    {
+      "entropy": 5.500157403945923,
+      "epoch": 2.655343827671914,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004573288821841505,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16496249735355378,
+      "num_tokens": 5838153.0,
+      "step": 3205
+    },
+    {
+      "entropy": 5.616616106033325,
+      "epoch": 2.659486329743165,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004571414558879413,
+      "loss": 5.4409,
+      "mean_token_accuracy": 0.15448423773050307,
+      "num_tokens": 5847270.0,
+      "step": 3210
+    },
+    {
+      "entropy": 5.6490891456604,
+      "epoch": 2.6636288318144157,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004569536621925114,
+      "loss": 5.5472,
+      "mean_token_accuracy": 0.15474478006362916,
+      "num_tokens": 5855954.0,
+      "step": 3215
+    },
+    {
+      "entropy": 5.634416961669922,
+      "epoch": 2.667771333885667,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004567655014766612,
+      "loss": 5.4529,
+      "mean_token_accuracy": 0.16163208782672883,
+      "num_tokens": 5864435.0,
+      "step": 3220
+    },
+    {
+      "entropy": 5.624909925460815,
+      "epoch": 2.671913835956918,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004565769741199314,
+      "loss": 5.5135,
+      "mean_token_accuracy": 0.1572384186089039,
+      "num_tokens": 5873964.0,
+      "step": 3225
+    },
+    {
+      "entropy": 5.727962255477905,
+      "epoch": 2.676056338028169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045638808050260237,
+      "loss": 5.4648,
+      "mean_token_accuracy": 0.16628578454256057,
+      "num_tokens": 5882738.0,
+      "step": 3230
+    },
+    {
+      "entropy": 5.587652635574341,
+      "epoch": 2.68019884009942,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00045619882100569317,
+      "loss": 5.5925,
+      "mean_token_accuracy": 0.15854242593050002,
+      "num_tokens": 5891749.0,
+      "step": 3235
+    },
+    {
+      "entropy": 5.627515649795532,
+      "epoch": 2.684341342170671,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004560091960109608,
+      "loss": 5.5372,
+      "mean_token_accuracy": 0.15811603218317033,
+      "num_tokens": 5900551.0,
+      "step": 3240
+    },
+    {
+      "entropy": 5.661735343933105,
+      "epoch": 2.6884838442419223,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004558192059008996,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.1517203629016876,
+      "num_tokens": 5909254.0,
+      "step": 3245
+    },
+    {
+      "entropy": 5.599635648727417,
+      "epoch": 2.692626346313173,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004556288510587406,
+      "loss": 5.4987,
+      "mean_token_accuracy": 0.15817683488130568,
+      "num_tokens": 5918357.0,
+      "step": 3250
+    },
+    {
+      "entropy": 5.662895679473877,
+      "epoch": 2.696768848384424,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00045543813186845004,
+      "loss": 5.5021,
+      "mean_token_accuracy": 0.15579704195261002,
+      "num_tokens": 5927742.0,
+      "step": 3255
+    },
+    {
+      "entropy": 5.627440690994263,
+      "epoch": 2.700911350455675,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004552470487147294,
+      "loss": 5.5823,
+      "mean_token_accuracy": 0.1556493915617466,
+      "num_tokens": 5937025.0,
+      "step": 3260
+    },
+    {
+      "entropy": 5.70678014755249,
+      "epoch": 2.7050538525269263,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045505560198301443,
+      "loss": 5.5615,
+      "mean_token_accuracy": 0.15135139375925064,
+      "num_tokens": 5946176.0,
+      "step": 3265
+    },
+    {
+      "entropy": 5.659924745559692,
+      "epoch": 2.7091963545981774,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045486379205947396,
+      "loss": 5.5233,
+      "mean_token_accuracy": 0.1584411159157753,
+      "num_tokens": 5955550.0,
+      "step": 3270
+    },
+    {
+      "entropy": 5.594695281982422,
+      "epoch": 2.713338856669428,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004546716193310098,
+      "loss": 5.4541,
+      "mean_token_accuracy": 0.1651945412158966,
+      "num_tokens": 5964467.0,
+      "step": 3275
+    },
+    {
+      "entropy": 5.605531787872314,
+      "epoch": 2.717481358740679,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000454479084185255,
+      "loss": 5.4855,
+      "mean_token_accuracy": 0.1514287754893303,
+      "num_tokens": 5973906.0,
+      "step": 3280
+    },
+    {
+      "entropy": 5.696796035766601,
+      "epoch": 2.7216238608119303,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004542861870105743,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.15694239139556884,
+      "num_tokens": 5983701.0,
+      "step": 3285
+    },
+    {
+      "entropy": 5.623150444030761,
+      "epoch": 2.7257663628831814,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045409292819606224,
+      "loss": 5.4971,
+      "mean_token_accuracy": 0.16068210303783417,
+      "num_tokens": 5993367.0,
+      "step": 3290
+    },
+    {
+      "entropy": 5.646857404708863,
+      "epoch": 2.7299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045389930813154297,
+      "loss": 5.4519,
+      "mean_token_accuracy": 0.16334805637598038,
+      "num_tokens": 6003752.0,
+      "step": 3295
+    },
+    {
+      "entropy": 5.675233459472656,
+      "epoch": 2.7340513670256836,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004537053272075693,
+      "loss": 5.5263,
+      "mean_token_accuracy": 0.1621565416455269,
+      "num_tokens": 6012486.0,
+      "step": 3300
+    },
+    {
+      "entropy": 5.5136041164398195,
+      "epoch": 2.7381938690969347,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045351098581542204,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.163838130235672,
+      "num_tokens": 6020742.0,
+      "step": 3305
+    },
+    {
+      "entropy": 5.646917295455933,
+      "epoch": 2.742336371168186,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004533162843471089,
+      "loss": 5.5009,
+      "mean_token_accuracy": 0.15474170595407485,
+      "num_tokens": 6030248.0,
+      "step": 3310
+    },
+    {
+      "entropy": 5.632185411453247,
+      "epoch": 2.7464788732394365,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004531212231953641,
+      "loss": 5.5436,
+      "mean_token_accuracy": 0.15157791674137117,
+      "num_tokens": 6039293.0,
+      "step": 3315
+    },
+    {
+      "entropy": 5.587828540802002,
+      "epoch": 2.7506213753106876,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004529258027536473,
+      "loss": 5.4134,
+      "mean_token_accuracy": 0.16378402560949326,
+      "num_tokens": 6048081.0,
+      "step": 3320
+    },
+    {
+      "entropy": 5.673684549331665,
+      "epoch": 2.7547638773819387,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004527300234161428,
+      "loss": 5.5753,
+      "mean_token_accuracy": 0.15969255268573762,
+      "num_tokens": 6057549.0,
+      "step": 3325
+    },
+    {
+      "entropy": 5.646554040908813,
+      "epoch": 2.75890637945319,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004525338855777591,
+      "loss": 5.5589,
+      "mean_token_accuracy": 0.15469738617539405,
+      "num_tokens": 6067372.0,
+      "step": 3330
+    },
+    {
+      "entropy": 5.595069122314453,
+      "epoch": 2.7630488815244405,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045233738963412746,
+      "loss": 5.4181,
+      "mean_token_accuracy": 0.1717814713716507,
+      "num_tokens": 6075532.0,
+      "step": 3335
+    },
+    {
+      "entropy": 5.5924467086792,
+      "epoch": 2.7671913835956916,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045214053598160173,
+      "loss": 5.4439,
+      "mean_token_accuracy": 0.16404369622468948,
+      "num_tokens": 6084389.0,
+      "step": 3340
+    },
+    {
+      "entropy": 5.598109579086303,
+      "epoch": 2.7713338856669427,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045194332501725725,
+      "loss": 5.4706,
+      "mean_token_accuracy": 0.16428767740726472,
+      "num_tokens": 6093536.0,
+      "step": 3345
+    },
+    {
+      "entropy": 5.637304496765137,
+      "epoch": 2.775476387738194,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00045174575713889014,
+      "loss": 5.5167,
+      "mean_token_accuracy": 0.16573925465345382,
+      "num_tokens": 6102677.0,
+      "step": 3350
+    },
+    {
+      "entropy": 5.677533674240112,
+      "epoch": 2.779618889809445,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004515478327450164,
+      "loss": 5.5926,
+      "mean_token_accuracy": 0.156404609978199,
+      "num_tokens": 6112430.0,
+      "step": 3355
+    },
+    {
+      "entropy": 5.643227863311767,
+      "epoch": 2.783761391880696,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00045134955223487093,
+      "loss": 5.4889,
+      "mean_token_accuracy": 0.16630716919898986,
+      "num_tokens": 6121408.0,
+      "step": 3360
+    },
+    {
+      "entropy": 5.57972674369812,
+      "epoch": 2.787903893951947,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00045115091600840757,
+      "loss": 5.5188,
+      "mean_token_accuracy": 0.15800442099571227,
+      "num_tokens": 6131339.0,
+      "step": 3365
+    },
+    {
+      "entropy": 5.624274778366089,
+      "epoch": 2.7920463960231983,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00045095192446629697,
+      "loss": 5.4816,
+      "mean_token_accuracy": 0.16174803227186202,
+      "num_tokens": 6140590.0,
+      "step": 3370
+    },
+    {
+      "entropy": 5.704814815521241,
+      "epoch": 2.796188898094449,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000450752578009927,
+      "loss": 5.5621,
+      "mean_token_accuracy": 0.1653067871928215,
+      "num_tokens": 6149958.0,
+      "step": 3375
+    },
+    {
+      "entropy": 5.58657054901123,
+      "epoch": 2.8003314001657,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045055287704140115,
+      "loss": 5.4346,
+      "mean_token_accuracy": 0.15949429720640182,
+      "num_tokens": 6159411.0,
+      "step": 3380
+    },
+    {
+      "entropy": 5.595387983322143,
+      "epoch": 2.804473902236951,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004503528219635381,
+      "loss": 5.5138,
+      "mean_token_accuracy": 0.1545591250061989,
+      "num_tokens": 6169264.0,
+      "step": 3385
+    },
+    {
+      "entropy": 5.617677021026611,
+      "epoch": 2.8086164043082023,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004501524131798709,
+      "loss": 5.4826,
+      "mean_token_accuracy": 0.16332829892635345,
+      "num_tokens": 6178374.0,
+      "step": 3390
+    },
+    {
+      "entropy": 5.7183191776275635,
+      "epoch": 2.812758906379453,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000449951651094646,
+      "loss": 5.4697,
+      "mean_token_accuracy": 0.15537519603967667,
+      "num_tokens": 6186918.0,
+      "step": 3395
+    },
+    {
+      "entropy": 5.566522169113159,
+      "epoch": 2.816901408450704,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044975053611282217,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.1613329365849495,
+      "num_tokens": 6196400.0,
+      "step": 3400
+    },
+    {
+      "entropy": 5.514105558395386,
+      "epoch": 2.821043910521955,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004495490686400706,
+      "loss": 5.3941,
+      "mean_token_accuracy": 0.1649619847536087,
+      "num_tokens": 6204849.0,
+      "step": 3405
+    },
+    {
+      "entropy": 5.615210485458374,
+      "epoch": 2.8251864125932062,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00044934724908277313,
+      "loss": 5.4834,
+      "mean_token_accuracy": 0.16362717300653457,
+      "num_tokens": 6214121.0,
+      "step": 3410
+    },
+    {
+      "entropy": 5.654720067977905,
+      "epoch": 2.8293289146644574,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044914507784802184,
+      "loss": 5.4835,
+      "mean_token_accuracy": 0.16509974151849746,
+      "num_tokens": 6223163.0,
+      "step": 3415
+    },
+    {
+      "entropy": 5.641624307632446,
+      "epoch": 2.8334714167357085,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004489425553436182,
+      "loss": 5.5084,
+      "mean_token_accuracy": 0.15882937759160995,
+      "num_tokens": 6231581.0,
+      "step": 3420
+    },
+    {
+      "entropy": 5.659383153915405,
+      "epoch": 2.8376139188069596,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00044873968197807213,
+      "loss": 5.5838,
+      "mean_token_accuracy": 0.1599879801273346,
+      "num_tokens": 6240015.0,
+      "step": 3425
+    },
+    {
+      "entropy": 5.666435050964355,
+      "epoch": 2.8417564208782107,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044853645816060156,
+      "loss": 5.5979,
+      "mean_token_accuracy": 0.1532062940299511,
+      "num_tokens": 6249083.0,
+      "step": 3430
+    },
+    {
+      "entropy": 5.6627098560333256,
+      "epoch": 2.8458989229494613,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00044833288430113104,
+      "loss": 5.5496,
+      "mean_token_accuracy": 0.1654196172952652,
+      "num_tokens": 6258798.0,
+      "step": 3435
+    },
+    {
+      "entropy": 5.609176588058472,
+      "epoch": 2.8500414250207124,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00044812896081029136,
+      "loss": 5.4023,
+      "mean_token_accuracy": 0.16617698073387147,
+      "num_tokens": 6267819.0,
+      "step": 3440
+    },
+    {
+      "entropy": 5.626215600967408,
+      "epoch": 2.8541839270919636,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004479246880994183,
+      "loss": 5.4804,
+      "mean_token_accuracy": 0.15876610353589057,
+      "num_tokens": 6276915.0,
+      "step": 3445
+    },
+    {
+      "entropy": 5.627827167510986,
+      "epoch": 2.8583264291632147,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004477200665805525,
+      "loss": 5.5216,
+      "mean_token_accuracy": 0.15861138105392455,
+      "num_tokens": 6285880.0,
+      "step": 3450
+    },
+    {
+      "entropy": 5.6323963642120365,
+      "epoch": 2.8624689312344658,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00044751509666643777,
+      "loss": 5.6351,
+      "mean_token_accuracy": 0.14970673844218255,
+      "num_tokens": 6295408.0,
+      "step": 3455
+    },
+    {
+      "entropy": 5.6166990280151365,
+      "epoch": 2.8666114333057164,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044730977877052084,
+      "loss": 5.3753,
+      "mean_token_accuracy": 0.16562075018882752,
+      "num_tokens": 6304110.0,
+      "step": 3460
+    },
+    {
+      "entropy": 5.669659185409546,
+      "epoch": 2.8707539353769675,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00044710411330695045,
+      "loss": 5.5254,
+      "mean_token_accuracy": 0.15842530727386475,
+      "num_tokens": 6312577.0,
+      "step": 3465
+    },
+    {
+      "entropy": 5.738371801376343,
+      "epoch": 2.8748964374482187,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00044689810069057615,
+      "loss": 5.606,
+      "mean_token_accuracy": 0.15023296922445298,
+      "num_tokens": 6321766.0,
+      "step": 3470
+    },
+    {
+      "entropy": 5.642851161956787,
+      "epoch": 2.8790389395194698,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004466917413369479,
+      "loss": 5.5731,
+      "mean_token_accuracy": 0.151870658993721,
+      "num_tokens": 6330327.0,
+      "step": 3475
+    },
+    {
+      "entropy": 5.577242517471314,
+      "epoch": 2.883181441590721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004464850356623152,
+      "loss": 5.4926,
+      "mean_token_accuracy": 0.16011006087064744,
+      "num_tokens": 6339596.0,
+      "step": 3480
+    },
+    {
+      "entropy": 5.613158226013184,
+      "epoch": 2.887323943661972,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00044627798408362597,
+      "loss": 5.3986,
+      "mean_token_accuracy": 0.1670537531375885,
+      "num_tokens": 6348080.0,
+      "step": 3485
+    },
+    {
+      "entropy": 5.613135099411011,
+      "epoch": 2.891466445733223,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004460705870185258,
+      "loss": 5.5277,
+      "mean_token_accuracy": 0.15435466170310974,
+      "num_tokens": 6357725.0,
+      "step": 3490
+    },
+    {
+      "entropy": 5.627930736541748,
+      "epoch": 2.8956089478044738,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004458628448853572,
+      "loss": 5.4831,
+      "mean_token_accuracy": 0.16073092967271804,
+      "num_tokens": 6366821.0,
+      "step": 3495
+    },
+    {
+      "entropy": 5.729347085952758,
+      "epoch": 2.899751449875725,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004456547581031589,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.15560299083590506,
+      "num_tokens": 6375641.0,
+      "step": 3500
+    },
+    {
+      "epoch": 2.899751449875725,
+      "eval_entropy": 5.414937326394673,
+      "eval_loss": 5.899942874908447,
+      "eval_mean_token_accuracy": 0.15183768343569629,
+      "eval_num_tokens": 6375641.0,
+      "eval_runtime": 2.9583,
+      "eval_samples_per_second": 1266.605,
+      "eval_steps_per_second": 158.537,
+      "step": 3500
+    },
+    {
+      "entropy": 5.548971128463745,
+      "epoch": 2.903893951946976,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004454463270916646,
+      "loss": 5.404,
+      "mean_token_accuracy": 0.1680065542459488,
+      "num_tokens": 6384596.0,
+      "step": 3505
+    },
+    {
+      "entropy": 5.719941425323486,
+      "epoch": 2.908036454018227,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004452375522713023,
+      "loss": 5.7474,
+      "mean_token_accuracy": 0.14030246064066887,
+      "num_tokens": 6395048.0,
+      "step": 3510
+    },
+    {
+      "entropy": 5.643452119827271,
+      "epoch": 2.912178956089478,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004450284340631938,
+      "loss": 5.5762,
+      "mean_token_accuracy": 0.15520212948322296,
+      "num_tokens": 6404828.0,
+      "step": 3515
+    },
+    {
+      "entropy": 5.627139854431152,
+      "epoch": 2.916321458160729,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044481897288915334,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.16042221039533616,
+      "num_tokens": 6414670.0,
+      "step": 3520
+    },
+    {
+      "entropy": 5.474701166152954,
+      "epoch": 2.92046396023198,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044460916917168697,
+      "loss": 5.3896,
+      "mean_token_accuracy": 0.16453512459993364,
+      "num_tokens": 6423446.0,
+      "step": 3525
+    },
+    {
+      "entropy": 5.5396312236785885,
+      "epoch": 2.924606462303231,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004443990233339918,
+      "loss": 5.4655,
+      "mean_token_accuracy": 0.1552535504102707,
+      "num_tokens": 6433412.0,
+      "step": 3530
+    },
+    {
+      "entropy": 5.652051544189453,
+      "epoch": 2.928748964374482,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004441885357999548,
+      "loss": 5.444,
+      "mean_token_accuracy": 0.1643453508615494,
+      "num_tokens": 6443520.0,
+      "step": 3535
+    },
+    {
+      "entropy": 5.674185514450073,
+      "epoch": 2.9328914664457333,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004439777069941524,
+      "loss": 5.5527,
+      "mean_token_accuracy": 0.15431721061468123,
+      "num_tokens": 6452933.0,
+      "step": 3540
+    },
+    {
+      "entropy": 5.550513553619385,
+      "epoch": 2.9370339685169844,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044376653734184935,
+      "loss": 5.3908,
+      "mean_token_accuracy": 0.16788479536771775,
+      "num_tokens": 6462113.0,
+      "step": 3545
+    },
+    {
+      "entropy": 5.468146800994873,
+      "epoch": 2.9411764705882355,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004435550272689979,
+      "loss": 5.4246,
+      "mean_token_accuracy": 0.16583772748708725,
+      "num_tokens": 6471411.0,
+      "step": 3550
+    },
+    {
+      "entropy": 5.662385082244873,
+      "epoch": 2.945318972659486,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00044334317720223706,
+      "loss": 5.532,
+      "mean_token_accuracy": 0.1599032275378704,
+      "num_tokens": 6480682.0,
+      "step": 3555
+    },
+    {
+      "entropy": 5.678339672088623,
+      "epoch": 2.9494614747307373,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00044313098756889154,
+      "loss": 5.5754,
+      "mean_token_accuracy": 0.15587076246738435,
+      "num_tokens": 6490614.0,
+      "step": 3560
+    },
+    {
+      "entropy": 5.585533094406128,
+      "epoch": 2.9536039768019884,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004429184587969708,
+      "loss": 5.4273,
+      "mean_token_accuracy": 0.16405707746744155,
+      "num_tokens": 6499079.0,
+      "step": 3565
+    },
+    {
+      "entropy": 5.668995666503906,
+      "epoch": 2.9577464788732395,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004427055913151689,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.14727827310562133,
+      "num_tokens": 6508556.0,
+      "step": 3570
+    },
+    {
+      "entropy": 5.70610499382019,
+      "epoch": 2.9618889809444906,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004424923855528626,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.15901169627904893,
+      "num_tokens": 6517934.0,
+      "step": 3575
+    },
+    {
+      "entropy": 5.614701509475708,
+      "epoch": 2.9660314830157413,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004422788419401114,
+      "loss": 5.4321,
+      "mean_token_accuracy": 0.1702651560306549,
+      "num_tokens": 6526995.0,
+      "step": 3580
+    },
+    {
+      "entropy": 5.572284936904907,
+      "epoch": 2.9701739850869924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00044206496090765595,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1573972523212433,
+      "num_tokens": 6535264.0,
+      "step": 3585
+    },
+    {
+      "entropy": 5.610080623626709,
+      "epoch": 2.9743164871582435,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00044185074288691776,
+      "loss": 5.3994,
+      "mean_token_accuracy": 0.1746336281299591,
+      "num_tokens": 6544498.0,
+      "step": 3590
+    },
+    {
+      "entropy": 5.582769393920898,
+      "epoch": 2.9784589892294946,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044163618830999794,
+      "loss": 5.5098,
+      "mean_token_accuracy": 0.16030704230070114,
+      "num_tokens": 6554761.0,
+      "step": 3595
+    },
+    {
+      "entropy": 5.603819417953491,
+      "epoch": 2.9826014913007457,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044142129760967643,
+      "loss": 5.5614,
+      "mean_token_accuracy": 0.15714355707168579,
+      "num_tokens": 6564039.0,
+      "step": 3600
+    },
+    {
+      "entropy": 5.679829835891724,
+      "epoch": 2.986743993371997,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004412060712194115,
+      "loss": 5.5068,
+      "mean_token_accuracy": 0.15993095487356185,
+      "num_tokens": 6572559.0,
+      "step": 3605
+    },
+    {
+      "entropy": 5.589264869689941,
+      "epoch": 2.990886495443248,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004409905095733381,
+      "loss": 5.4931,
+      "mean_token_accuracy": 0.1612076446413994,
+      "num_tokens": 6581621.0,
+      "step": 3610
+    },
+    {
+      "entropy": 5.550649166107178,
+      "epoch": 2.995028997514499,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00044077461310626764,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.15403861105442046,
+      "num_tokens": 6590353.0,
+      "step": 3615
+    },
+    {
+      "entropy": 5.64892258644104,
+      "epoch": 2.9991714995857497,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000440558382253687,
+      "loss": 5.4575,
+      "mean_token_accuracy": 0.16497674435377122,
+      "num_tokens": 6598822.0,
+      "step": 3620
+    },
+    {
+      "entropy": 5.5967165470123295,
+      "epoch": 3.003314001657001,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004403418174517573,
+      "loss": 5.2529,
+      "mean_token_accuracy": 0.16683556884527206,
+      "num_tokens": 6606728.0,
+      "step": 3625
+    },
+    {
+      "entropy": 5.599476623535156,
+      "epoch": 3.007456503728252,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044012491913731353,
+      "loss": 5.1756,
+      "mean_token_accuracy": 0.1743481546640396,
+      "num_tokens": 6616226.0,
+      "step": 3630
+    },
+    {
+      "entropy": 5.5095573425292965,
+      "epoch": 3.011599005799503,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004399076877478632,
+      "loss": 5.0266,
+      "mean_token_accuracy": 0.1868550017476082,
+      "num_tokens": 6624801.0,
+      "step": 3635
+    },
+    {
+      "entropy": 5.60879430770874,
+      "epoch": 3.015741507870754,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004396901237215858,
+      "loss": 5.2209,
+      "mean_token_accuracy": 0.16688485741615294,
+      "num_tokens": 6633043.0,
+      "step": 3640
+    },
+    {
+      "entropy": 5.538025426864624,
+      "epoch": 3.019884009942005,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043947222749733173,
+      "loss": 5.1692,
+      "mean_token_accuracy": 0.17499702274799347,
+      "num_tokens": 6641197.0,
+      "step": 3645
+    },
+    {
+      "entropy": 5.586767101287842,
+      "epoch": 3.024026512013256,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043925399951462153,
+      "loss": 5.2064,
+      "mean_token_accuracy": 0.1801098555326462,
+      "num_tokens": 6650411.0,
+      "step": 3650
+    },
+    {
+      "entropy": 5.4191618919372555,
+      "epoch": 3.028169014084507,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004390354402136449,
+      "loss": 5.0903,
+      "mean_token_accuracy": 0.17804521024227143,
+      "num_tokens": 6659405.0,
+      "step": 3655
+    },
+    {
+      "entropy": 5.583788824081421,
+      "epoch": 3.032311516155758,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0004388165500352597,
+      "loss": 5.1642,
+      "mean_token_accuracy": 0.17557908743619918,
+      "num_tokens": 6667701.0,
+      "step": 3660
+    },
+    {
+      "entropy": 5.614604902267456,
+      "epoch": 3.036454018227009,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004385973294209915,
+      "loss": 5.1881,
+      "mean_token_accuracy": 0.17808027267456056,
+      "num_tokens": 6676801.0,
+      "step": 3665
+    },
+    {
+      "entropy": 5.457578706741333,
+      "epoch": 3.0405965202982603,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004383777788130321,
+      "loss": 5.083,
+      "mean_token_accuracy": 0.17836775481700898,
+      "num_tokens": 6686005.0,
+      "step": 3670
+    },
+    {
+      "entropy": 5.479088068008423,
+      "epoch": 3.044739022369511,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004381578986542393,
+      "loss": 5.0937,
+      "mean_token_accuracy": 0.17960153371095658,
+      "num_tokens": 6694884.0,
+      "step": 3675
+    },
+    {
+      "entropy": 5.501745700836182,
+      "epoch": 3.048881524440762,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004379376893881352,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.17827630788087845,
+      "num_tokens": 6703476.0,
+      "step": 3680
+    },
+    {
+      "entropy": 5.616245269775391,
+      "epoch": 3.053024026512013,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004377171514589059,
+      "loss": 5.2531,
+      "mean_token_accuracy": 0.1736731931567192,
+      "num_tokens": 6712576.0,
+      "step": 3685
+    },
+    {
+      "entropy": 5.398316955566406,
+      "epoch": 3.0571665285832643,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004374962853114007,
+      "loss": 5.0545,
+      "mean_token_accuracy": 0.18062082678079605,
+      "num_tokens": 6721532.0,
+      "step": 3690
+    },
+    {
+      "entropy": 5.480774354934693,
+      "epoch": 3.0613090306545154,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004372750913911306,
+      "loss": 5.1028,
+      "mean_token_accuracy": 0.18300070911645888,
+      "num_tokens": 6730055.0,
+      "step": 3695
+    },
+    {
+      "entropy": 5.446919918060303,
+      "epoch": 3.0654515327257665,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004370535701442679,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.17969694286584853,
+      "num_tokens": 6739310.0,
+      "step": 3700
+    },
+    {
+      "entropy": 5.54828953742981,
+      "epoch": 3.069594034797017,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043683172201764537,
+      "loss": 5.2581,
+      "mean_token_accuracy": 0.16716694980859756,
+      "num_tokens": 6748976.0,
+      "step": 3705
+    },
+    {
+      "entropy": 5.539231872558593,
+      "epoch": 3.0737365368682683,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004366095474587547,
+      "loss": 5.1044,
+      "mean_token_accuracy": 0.17598106861114501,
+      "num_tokens": 6758043.0,
+      "step": 3710
+    },
+    {
+      "entropy": 5.500854778289795,
+      "epoch": 3.0778790389395194,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00043638704691574646,
+      "loss": 5.163,
+      "mean_token_accuracy": 0.1786232903599739,
+      "num_tokens": 6767554.0,
+      "step": 3715
+    },
+    {
+      "entropy": 5.560473966598511,
+      "epoch": 3.0820215410107705,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004361642208374283,
+      "loss": 5.1882,
+      "mean_token_accuracy": 0.1666739672422409,
+      "num_tokens": 6776161.0,
+      "step": 3720
+    },
+    {
+      "entropy": 5.476630401611328,
+      "epoch": 3.0861640430820216,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043594106967326495,
+      "loss": 5.1169,
+      "mean_token_accuracy": 0.17555084377527236,
+      "num_tokens": 6785371.0,
+      "step": 3725
+    },
+    {
+      "entropy": 5.494755983352661,
+      "epoch": 3.0903065451532727,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00043571759387337665,
+      "loss": 5.1456,
+      "mean_token_accuracy": 0.1808715656399727,
+      "num_tokens": 6795242.0,
+      "step": 3730
+    },
+    {
+      "entropy": 5.591760492324829,
+      "epoch": 3.0944490472245234,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004354937938885385,
+      "loss": 5.2235,
+      "mean_token_accuracy": 0.17338325083255768,
+      "num_tokens": 6805423.0,
+      "step": 3735
+    },
+    {
+      "entropy": 5.464981889724731,
+      "epoch": 3.0985915492957745,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004352696701701796,
+      "loss": 5.1469,
+      "mean_token_accuracy": 0.17880967408418655,
+      "num_tokens": 6814377.0,
+      "step": 3740
+    },
+    {
+      "entropy": 5.448660278320313,
+      "epoch": 3.1027340513670256,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004350452231703819,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.18132367432117463,
+      "num_tokens": 6824025.0,
+      "step": 3745
+    },
+    {
+      "entropy": 5.550149536132812,
+      "epoch": 3.1068765534382767,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043482045334187954,
+      "loss": 5.1273,
+      "mean_token_accuracy": 0.18649032860994338,
+      "num_tokens": 6833071.0,
+      "step": 3750
+    },
+    {
+      "entropy": 5.442513799667358,
+      "epoch": 3.111019055509528,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043459536113805785,
+      "loss": 5.1076,
+      "mean_token_accuracy": 0.17443138360977173,
+      "num_tokens": 6841983.0,
+      "step": 3755
+    },
+    {
+      "entropy": 5.447629022598266,
+      "epoch": 3.115161557580779,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00043436994701295237,
+      "loss": 5.1043,
+      "mean_token_accuracy": 0.17914267033338546,
+      "num_tokens": 6851436.0,
+      "step": 3760
+    },
+    {
+      "entropy": 5.461205101013183,
+      "epoch": 3.1193040596520296,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00043414421142124804,
+      "loss": 5.1836,
+      "mean_token_accuracy": 0.1672696813941002,
+      "num_tokens": 6861810.0,
+      "step": 3765
+    },
+    {
+      "entropy": 5.478553342819214,
+      "epoch": 3.1234465617232807,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00043391815481827814,
+      "loss": 5.0639,
+      "mean_token_accuracy": 0.18850475996732713,
+      "num_tokens": 6870418.0,
+      "step": 3770
+    },
+    {
+      "entropy": 5.41155161857605,
+      "epoch": 3.127589063794532,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004336917776600237,
+      "loss": 5.0683,
+      "mean_token_accuracy": 0.18221812546253205,
+      "num_tokens": 6879419.0,
+      "step": 3775
+    },
+    {
+      "entropy": 5.435874891281128,
+      "epoch": 3.131731565865783,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004334650804031122,
+      "loss": 5.1852,
+      "mean_token_accuracy": 0.17172302156686783,
+      "num_tokens": 6888768.0,
+      "step": 3780
+    },
+    {
+      "entropy": 5.507850646972656,
+      "epoch": 3.135874067937034,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004332380635048165,
+      "loss": 5.1296,
+      "mean_token_accuracy": 0.17900288552045823,
+      "num_tokens": 6897133.0,
+      "step": 3785
+    },
+    {
+      "entropy": 5.485491752624512,
+      "epoch": 3.140016570008285,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00043301072742305474,
+      "loss": 5.1773,
+      "mean_token_accuracy": 0.17168077528476716,
+      "num_tokens": 6904976.0,
+      "step": 3790
+    },
+    {
+      "entropy": 5.537312364578247,
+      "epoch": 3.1441590720795363,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0004327830726163886,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.17883574068546296,
+      "num_tokens": 6915138.0,
+      "step": 3795
+    },
+    {
+      "entropy": 5.548703718185425,
+      "epoch": 3.148301574150787,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0004325550995440226,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.1752033144235611,
+      "num_tokens": 6923962.0,
+      "step": 3800
+    },
+    {
+      "entropy": 5.386642169952393,
+      "epoch": 3.152444076222038,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043232680866580356,
+      "loss": 5.1478,
+      "mean_token_accuracy": 0.17952724993228913,
+      "num_tokens": 6932102.0,
+      "step": 3805
+    },
+    {
+      "entropy": 5.464086627960205,
+      "epoch": 3.156586578293289,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00043209820044221893,
+      "loss": 5.153,
+      "mean_token_accuracy": 0.1785269558429718,
+      "num_tokens": 6940354.0,
+      "step": 3810
+    },
+    {
+      "entropy": 5.4963922023773195,
+      "epoch": 3.1607290803645403,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00043186927533439654,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.1716633692383766,
+      "num_tokens": 6949779.0,
+      "step": 3815
+    },
+    {
+      "entropy": 5.536400413513183,
+      "epoch": 3.1648715824357914,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043164003380410335,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.17445194274187087,
+      "num_tokens": 6958760.0,
+      "step": 3820
+    },
+    {
+      "entropy": 5.486375331878662,
+      "epoch": 3.169014084507042,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004314104763137445,
+      "loss": 5.1037,
+      "mean_token_accuracy": 0.18134674280881882,
+      "num_tokens": 6967535.0,
+      "step": 3825
+    },
+    {
+      "entropy": 5.469356393814087,
+      "epoch": 3.173156586578293,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043118060332636264,
+      "loss": 5.2036,
+      "mean_token_accuracy": 0.17774708271026612,
+      "num_tokens": 6976211.0,
+      "step": 3830
+    },
+    {
+      "entropy": 5.576221227645874,
+      "epoch": 3.1772990886495442,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043095041530563665,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.17325948774814606,
+      "num_tokens": 6986001.0,
+      "step": 3835
+    },
+    {
+      "entropy": 5.420689487457276,
+      "epoch": 3.1814415907207954,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00043071991271588104,
+      "loss": 5.2006,
+      "mean_token_accuracy": 0.18302187621593474,
+      "num_tokens": 6994568.0,
+      "step": 3840
+    },
+    {
+      "entropy": 5.52434401512146,
+      "epoch": 3.1855840927920465,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004304890960220446,
+      "loss": 5.2921,
+      "mean_token_accuracy": 0.16869494169950486,
+      "num_tokens": 7004744.0,
+      "step": 3845
+    },
+    {
+      "entropy": 5.520354557037353,
+      "epoch": 3.1897265948632976,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043025796568970975,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.1696591019630432,
+      "num_tokens": 7014315.0,
+      "step": 3850
+    },
+    {
+      "entropy": 5.523347425460815,
+      "epoch": 3.1938690969345487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043002652218509184,
+      "loss": 5.1172,
+      "mean_token_accuracy": 0.18450311720371246,
+      "num_tokens": 7022258.0,
+      "step": 3855
+    },
+    {
+      "entropy": 5.522213459014893,
+      "epoch": 3.1980115990057993,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004297947659750376,
+      "loss": 5.2587,
+      "mean_token_accuracy": 0.1674624815583229,
+      "num_tokens": 7031732.0,
+      "step": 3860
+    },
+    {
+      "entropy": 5.467557621002197,
+      "epoch": 3.2021541010770505,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004295626975270246,
+      "loss": 5.1818,
+      "mean_token_accuracy": 0.1766605108976364,
+      "num_tokens": 7040478.0,
+      "step": 3865
+    },
+    {
+      "entropy": 5.490935039520264,
+      "epoch": 3.2062966031483016,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00042933031730916024,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.18396904766559602,
+      "num_tokens": 7049360.0,
+      "step": 3870
+    },
+    {
+      "entropy": 5.5688018798828125,
+      "epoch": 3.2104391052195527,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000429097625790181,
+      "loss": 5.2267,
+      "mean_token_accuracy": 0.17498258501291275,
+      "num_tokens": 7059271.0,
+      "step": 3875
+    },
+    {
+      "entropy": 5.398471450805664,
+      "epoch": 3.2145816072908038,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004288646234394508,
+      "loss": 5.2177,
+      "mean_token_accuracy": 0.17296054661273957,
+      "num_tokens": 7069038.0,
+      "step": 3880
+    },
+    {
+      "entropy": 5.5407984256744385,
+      "epoch": 3.218724109362055,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00042863131072696115,
+      "loss": 5.1617,
+      "mean_token_accuracy": 0.17704827934503556,
+      "num_tokens": 7077971.0,
+      "step": 3885
+    },
+    {
+      "entropy": 5.4559561252594,
+      "epoch": 3.2228666114333056,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00042839768812332905,
+      "loss": 5.1612,
+      "mean_token_accuracy": 0.17406544089317322,
+      "num_tokens": 7086821.0,
+      "step": 3890
+    },
+    {
+      "entropy": 5.419722366333008,
+      "epoch": 3.2270091135045567,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000428163756099797,
+      "loss": 5.1859,
+      "mean_token_accuracy": 0.17225482910871506,
+      "num_tokens": 7095407.0,
+      "step": 3895
+    },
+    {
+      "entropy": 5.48249921798706,
+      "epoch": 3.2311516155758078,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004279295151282314,
+      "loss": 5.1116,
+      "mean_token_accuracy": 0.18240531533956528,
+      "num_tokens": 7103964.0,
+      "step": 3900
+    },
+    {
+      "entropy": 5.564240264892578,
+      "epoch": 3.235294117647059,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004276949656811217,
+      "loss": 5.251,
+      "mean_token_accuracy": 0.17079487890005113,
+      "num_tokens": 7113571.0,
+      "step": 3905
+    },
+    {
+      "entropy": 5.522033739089966,
+      "epoch": 3.23943661971831,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00042746010823158006,
+      "loss": 5.2738,
+      "mean_token_accuracy": 0.17067040055990218,
+      "num_tokens": 7122844.0,
+      "step": 3910
+    },
+    {
+      "entropy": 5.4324219703674315,
+      "epoch": 3.243579121789561,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042722494325333945,
+      "loss": 5.1326,
+      "mean_token_accuracy": 0.176889306306839,
+      "num_tokens": 7132123.0,
+      "step": 3915
+    },
+    {
+      "entropy": 5.458636379241943,
+      "epoch": 3.2477216238608118,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004269894712207533,
+      "loss": 5.1819,
+      "mean_token_accuracy": 0.18051923513412477,
+      "num_tokens": 7141068.0,
+      "step": 3920
+    },
+    {
+      "entropy": 5.43212571144104,
+      "epoch": 3.251864125932063,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004267536926087947,
+      "loss": 5.1925,
+      "mean_token_accuracy": 0.1708641156554222,
+      "num_tokens": 7150829.0,
+      "step": 3925
+    },
+    {
+      "entropy": 5.458031702041626,
+      "epoch": 3.256006628003314,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004265176078930545,
+      "loss": 5.1703,
+      "mean_token_accuracy": 0.17345706522464752,
+      "num_tokens": 7160814.0,
+      "step": 3930
+    },
+    {
+      "entropy": 5.498150825500488,
+      "epoch": 3.260149130074565,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00042628121754974166,
+      "loss": 5.2634,
+      "mean_token_accuracy": 0.17203340232372283,
+      "num_tokens": 7170085.0,
+      "step": 3935
+    },
+    {
+      "entropy": 5.590339422225952,
+      "epoch": 3.264291632145816,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004260445220556811,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.1736685037612915,
+      "num_tokens": 7179366.0,
+      "step": 3940
+    },
+    {
+      "entropy": 5.52174072265625,
+      "epoch": 3.2684341342170673,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00042580752188831376,
+      "loss": 5.2819,
+      "mean_token_accuracy": 0.17067586481571198,
+      "num_tokens": 7188342.0,
+      "step": 3945
+    },
+    {
+      "entropy": 5.556540441513062,
+      "epoch": 3.272576636288318,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004255702175256946,
+      "loss": 5.3095,
+      "mean_token_accuracy": 0.17531315684318544,
+      "num_tokens": 7197466.0,
+      "step": 3950
+    },
+    {
+      "entropy": 5.42687840461731,
+      "epoch": 3.276719138359569,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00042533260944649273,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17852312475442886,
+      "num_tokens": 7205462.0,
+      "step": 3955
+    },
+    {
+      "entropy": 5.424286890029907,
+      "epoch": 3.28086164043082,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004250946981299893,
+      "loss": 5.1838,
+      "mean_token_accuracy": 0.17682615667581558,
+      "num_tokens": 7215115.0,
+      "step": 3960
+    },
+    {
+      "entropy": 5.459038209915161,
+      "epoch": 3.2850041425020713,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00042485648405607776,
+      "loss": 5.1379,
+      "mean_token_accuracy": 0.17029522657394408,
+      "num_tokens": 7224909.0,
+      "step": 3965
+    },
+    {
+      "entropy": 5.392039203643799,
+      "epoch": 3.2891466445733224,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004246179677052617,
+      "loss": 5.0642,
+      "mean_token_accuracy": 0.18698266595602037,
+      "num_tokens": 7232946.0,
+      "step": 3970
+    },
+    {
+      "entropy": 5.362467432022095,
+      "epoch": 3.2932891466445735,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004243791495586547,
+      "loss": 5.1736,
+      "mean_token_accuracy": 0.17996304631233215,
+      "num_tokens": 7241104.0,
+      "step": 3975
+    },
+    {
+      "entropy": 5.567073392868042,
+      "epoch": 3.297431648715824,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004241400300979791,
+      "loss": 5.2257,
+      "mean_token_accuracy": 0.1786801502108574,
+      "num_tokens": 7250749.0,
+      "step": 3980
+    },
+    {
+      "entropy": 5.447740983963013,
+      "epoch": 3.3015741507870753,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004239006098055651,
+      "loss": 5.124,
+      "mean_token_accuracy": 0.1787547677755356,
+      "num_tokens": 7258687.0,
+      "step": 3985
+    },
+    {
+      "entropy": 5.41381049156189,
+      "epoch": 3.3057166528583264,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004236608891643494,
+      "loss": 5.1572,
+      "mean_token_accuracy": 0.17702401280403138,
+      "num_tokens": 7267316.0,
+      "step": 3990
+    },
+    {
+      "entropy": 5.448715782165527,
+      "epoch": 3.3098591549295775,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004234208686578748,
+      "loss": 5.1777,
+      "mean_token_accuracy": 0.17505329996347427,
+      "num_tokens": 7276734.0,
+      "step": 3995
+    },
+    {
+      "entropy": 5.440592193603516,
+      "epoch": 3.3140016570008286,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00042318054877028876,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17840310037136078,
+      "num_tokens": 7285916.0,
+      "step": 4000
+    },
+    {
+      "epoch": 3.3140016570008286,
+      "eval_entropy": 5.363256025416002,
+      "eval_loss": 5.893955707550049,
+      "eval_mean_token_accuracy": 0.15349840453819935,
+      "eval_num_tokens": 7285916.0,
+      "eval_runtime": 2.7471,
+      "eval_samples_per_second": 1363.961,
+      "eval_steps_per_second": 170.723,
+      "step": 4000
+    },
+    {
+      "entropy": 5.487448406219483,
+      "epoch": 3.3181441590720797,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042293992998634314,
+      "loss": 5.1667,
+      "mean_token_accuracy": 0.17779863625764847,
+      "num_tokens": 7294184.0,
+      "step": 4005
+    },
+    {
+      "entropy": 5.414953899383545,
+      "epoch": 3.3222866611433304,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004226990127913918,
+      "loss": 5.177,
+      "mean_token_accuracy": 0.1768763244152069,
+      "num_tokens": 7302647.0,
+      "step": 4010
+    },
+    {
+      "entropy": 5.442982530593872,
+      "epoch": 3.3264291632145815,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004224577976713915,
+      "loss": 5.2506,
+      "mean_token_accuracy": 0.16832198798656464,
+      "num_tokens": 7311455.0,
+      "step": 4015
+    },
+    {
+      "entropy": 5.609448575973511,
+      "epoch": 3.3305716652858326,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00042221628511289927,
+      "loss": 5.3136,
+      "mean_token_accuracy": 0.16625809520483018,
+      "num_tokens": 7320978.0,
+      "step": 4020
+    },
+    {
+      "entropy": 5.612923622131348,
+      "epoch": 3.3347141673570837,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004219744756030723,
+      "loss": 5.3273,
+      "mean_token_accuracy": 0.16872513592243193,
+      "num_tokens": 7330202.0,
+      "step": 4025
+    },
+    {
+      "entropy": 5.4015247344970705,
+      "epoch": 3.338856669428335,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00042173236962966706,
+      "loss": 5.1649,
+      "mean_token_accuracy": 0.17969190180301667,
+      "num_tokens": 7339121.0,
+      "step": 4030
+    },
+    {
+      "entropy": 5.492907905578614,
+      "epoch": 3.342999171499586,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004214899676810375,
+      "loss": 5.2251,
+      "mean_token_accuracy": 0.1665240079164505,
+      "num_tokens": 7348631.0,
+      "step": 4035
+    },
+    {
+      "entropy": 5.469464063644409,
+      "epoch": 3.347141673570837,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004212472702461348,
+      "loss": 5.1843,
+      "mean_token_accuracy": 0.1820875510573387,
+      "num_tokens": 7358354.0,
+      "step": 4040
+    },
+    {
+      "entropy": 5.454071807861328,
+      "epoch": 3.3512841756420877,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004210042778145064,
+      "loss": 5.2038,
+      "mean_token_accuracy": 0.17285584658384323,
+      "num_tokens": 7367031.0,
+      "step": 4045
+    },
+    {
+      "entropy": 5.436822319030762,
+      "epoch": 3.355426677713339,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00042076099087629443,
+      "loss": 5.2025,
+      "mean_token_accuracy": 0.1784903883934021,
+      "num_tokens": 7375996.0,
+      "step": 4050
+    },
+    {
+      "entropy": 5.552537536621093,
+      "epoch": 3.35956917978459,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00042051740992223534,
+      "loss": 5.2567,
+      "mean_token_accuracy": 0.16439318358898164,
+      "num_tokens": 7385355.0,
+      "step": 4055
+    },
+    {
+      "entropy": 5.402252960205078,
+      "epoch": 3.363711681855841,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004202735354436586,
+      "loss": 5.0999,
+      "mean_token_accuracy": 0.1792566418647766,
+      "num_tokens": 7394384.0,
+      "step": 4060
+    },
+    {
+      "entropy": 5.511481237411499,
+      "epoch": 3.367854183927092,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00042002936793248546,
+      "loss": 5.2458,
+      "mean_token_accuracy": 0.1770971804857254,
+      "num_tokens": 7403141.0,
+      "step": 4065
+    },
+    {
+      "entropy": 5.508409786224365,
+      "epoch": 3.371996685998343,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004197849078812286,
+      "loss": 5.199,
+      "mean_token_accuracy": 0.1739865079522133,
+      "num_tokens": 7413331.0,
+      "step": 4070
+    },
+    {
+      "entropy": 5.471702003479004,
+      "epoch": 3.376139188069594,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004195401557829907,
+      "loss": 5.2368,
+      "mean_token_accuracy": 0.17052597552537918,
+      "num_tokens": 7422362.0,
+      "step": 4075
+    },
+    {
+      "entropy": 5.4563977241516115,
+      "epoch": 3.380281690140845,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041929511213146343,
+      "loss": 5.1661,
+      "mean_token_accuracy": 0.18033864200115204,
+      "num_tokens": 7431350.0,
+      "step": 4080
+    },
+    {
+      "entropy": 5.4815953254699705,
+      "epoch": 3.384424192212096,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004190497774209266,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.1800685152411461,
+      "num_tokens": 7440382.0,
+      "step": 4085
+    },
+    {
+      "entropy": 5.51438536643982,
+      "epoch": 3.3885666942833472,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00041880415214624715,
+      "loss": 5.2355,
+      "mean_token_accuracy": 0.17847414761781694,
+      "num_tokens": 7449357.0,
+      "step": 4090
+    },
+    {
+      "entropy": 5.463125705718994,
+      "epoch": 3.3927091963545983,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004185582368028781,
+      "loss": 5.1468,
+      "mean_token_accuracy": 0.1853232800960541,
+      "num_tokens": 7457544.0,
+      "step": 4095
+    },
+    {
+      "entropy": 5.409591102600098,
+      "epoch": 3.3968516984258494,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004183120318868577,
+      "loss": 5.1616,
+      "mean_token_accuracy": 0.18774343580007552,
+      "num_tokens": 7465915.0,
+      "step": 4100
+    },
+    {
+      "entropy": 5.435869741439819,
+      "epoch": 3.4009942004971,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00041806553789480787,
+      "loss": 5.1161,
+      "mean_token_accuracy": 0.1833360970020294,
+      "num_tokens": 7474551.0,
+      "step": 4105
+    },
+    {
+      "entropy": 5.507905626296997,
+      "epoch": 3.405136702568351,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00041781875532393423,
+      "loss": 5.2287,
+      "mean_token_accuracy": 0.17473389357328414,
+      "num_tokens": 7483271.0,
+      "step": 4110
+    },
+    {
+      "entropy": 5.474280261993409,
+      "epoch": 3.4092792046396023,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00041757168467202404,
+      "loss": 5.2371,
+      "mean_token_accuracy": 0.17051266878843307,
+      "num_tokens": 7493179.0,
+      "step": 4115
+    },
+    {
+      "entropy": 5.47375521659851,
+      "epoch": 3.4134217067108534,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00041732432643744576,
+      "loss": 5.2132,
+      "mean_token_accuracy": 0.17562344074249267,
+      "num_tokens": 7501858.0,
+      "step": 4120
+    },
+    {
+      "entropy": 5.562008953094482,
+      "epoch": 3.4175642087821045,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004170766811191481,
+      "loss": 5.282,
+      "mean_token_accuracy": 0.16895801872014998,
+      "num_tokens": 7511817.0,
+      "step": 4125
+    },
+    {
+      "entropy": 5.3949895858764645,
+      "epoch": 3.421706710853355,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.0004168287492166587,
+      "loss": 5.2513,
+      "mean_token_accuracy": 0.175115604698658,
+      "num_tokens": 7521655.0,
+      "step": 4130
+    },
+    {
+      "entropy": 5.478516006469727,
+      "epoch": 3.4258492129246063,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041658053123008325,
+      "loss": 5.2289,
+      "mean_token_accuracy": 0.17174260020256044,
+      "num_tokens": 7531321.0,
+      "step": 4135
+    },
+    {
+      "entropy": 5.469200515747071,
+      "epoch": 3.4299917149958574,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004163320276601046,
+      "loss": 5.2104,
+      "mean_token_accuracy": 0.17538849860429764,
+      "num_tokens": 7540613.0,
+      "step": 4140
+    },
+    {
+      "entropy": 5.478423690795898,
+      "epoch": 3.4341342170671085,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004160832390079816,
+      "loss": 5.2823,
+      "mean_token_accuracy": 0.17514234632253647,
+      "num_tokens": 7549598.0,
+      "step": 4145
+    },
+    {
+      "entropy": 5.449503993988037,
+      "epoch": 3.4382767191383596,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00041583416577554815,
+      "loss": 5.1509,
+      "mean_token_accuracy": 0.18169643133878707,
+      "num_tokens": 7558738.0,
+      "step": 4150
+    },
+    {
+      "entropy": 5.454873323440552,
+      "epoch": 3.4424192212096107,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041558480846521213,
+      "loss": 5.1996,
+      "mean_token_accuracy": 0.17627429366111755,
+      "num_tokens": 7566873.0,
+      "step": 4155
+    },
+    {
+      "entropy": 5.413073778152466,
+      "epoch": 3.446561723280862,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041533516757995455,
+      "loss": 5.18,
+      "mean_token_accuracy": 0.1794169783592224,
+      "num_tokens": 7576645.0,
+      "step": 4160
+    },
+    {
+      "entropy": 5.449489498138428,
+      "epoch": 3.4507042253521125,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004150852436233283,
+      "loss": 5.1844,
+      "mean_token_accuracy": 0.17338148206472398,
+      "num_tokens": 7584854.0,
+      "step": 4165
+    },
+    {
+      "entropy": 5.500524044036865,
+      "epoch": 3.4548467274233636,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004148350370994574,
+      "loss": 5.3142,
+      "mean_token_accuracy": 0.16781232208013536,
+      "num_tokens": 7594022.0,
+      "step": 4170
+    },
+    {
+      "entropy": 5.458495187759399,
+      "epoch": 3.4589892294946147,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004145845485130357,
+      "loss": 5.1757,
+      "mean_token_accuracy": 0.17461147904396057,
+      "num_tokens": 7603259.0,
+      "step": 4175
+    },
+    {
+      "entropy": 5.453242301940918,
+      "epoch": 3.463131731565866,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00041433377836932594,
+      "loss": 5.2853,
+      "mean_token_accuracy": 0.1680028423666954,
+      "num_tokens": 7613451.0,
+      "step": 4180
+    },
+    {
+      "entropy": 5.533868455886841,
+      "epoch": 3.467274233637117,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00041408272717415913,
+      "loss": 5.245,
+      "mean_token_accuracy": 0.17225596755743028,
+      "num_tokens": 7622218.0,
+      "step": 4185
+    },
+    {
+      "entropy": 5.351213121414185,
+      "epoch": 3.4714167357083676,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004138313954339327,
+      "loss": 5.104,
+      "mean_token_accuracy": 0.17463669180870056,
+      "num_tokens": 7630508.0,
+      "step": 4190
+    },
+    {
+      "entropy": 5.488496780395508,
+      "epoch": 3.4755592377796187,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004135797836556106,
+      "loss": 5.1982,
+      "mean_token_accuracy": 0.181541608273983,
+      "num_tokens": 7640141.0,
+      "step": 4195
+    },
+    {
+      "entropy": 5.459699392318726,
+      "epoch": 3.47970173985087,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041332789234672094,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1721531167626381,
+      "num_tokens": 7648764.0,
+      "step": 4200
+    },
+    {
+      "entropy": 5.406872129440307,
+      "epoch": 3.483844241922121,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004130757220153561,
+      "loss": 5.1952,
+      "mean_token_accuracy": 0.18173792064189911,
+      "num_tokens": 7658642.0,
+      "step": 4205
+    },
+    {
+      "entropy": 5.544135618209839,
+      "epoch": 3.487986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004128232731701712,
+      "loss": 5.377,
+      "mean_token_accuracy": 0.16519460082054138,
+      "num_tokens": 7667524.0,
+      "step": 4210
+    },
+    {
+      "entropy": 5.488169002532959,
+      "epoch": 3.492129246064623,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004125705463203833,
+      "loss": 5.1928,
+      "mean_token_accuracy": 0.18297115415334703,
+      "num_tokens": 7675800.0,
+      "step": 4215
+    },
+    {
+      "entropy": 5.490040969848633,
+      "epoch": 3.4962717481358743,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041231754197576986,
+      "loss": 5.2252,
+      "mean_token_accuracy": 0.1757526621222496,
+      "num_tokens": 7683742.0,
+      "step": 4220
+    },
+    {
+      "entropy": 5.468280076980591,
+      "epoch": 3.5004142502071254,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004120642606466685,
+      "loss": 5.2278,
+      "mean_token_accuracy": 0.1796238511800766,
+      "num_tokens": 7692379.0,
+      "step": 4225
+    },
+    {
+      "entropy": 5.494374942779541,
+      "epoch": 3.504556752278376,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004118107028439751,
+      "loss": 5.2138,
+      "mean_token_accuracy": 0.17588699012994766,
+      "num_tokens": 7702156.0,
+      "step": 4230
+    },
+    {
+      "entropy": 5.467664003372192,
+      "epoch": 3.508699254349627,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00041155686907914365,
+      "loss": 5.2275,
+      "mean_token_accuracy": 0.1754150867462158,
+      "num_tokens": 7712135.0,
+      "step": 4235
+    },
+    {
+      "entropy": 5.451332426071167,
+      "epoch": 3.5128417564208783,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004113027598641845,
+      "loss": 5.1785,
+      "mean_token_accuracy": 0.1752738744020462,
+      "num_tokens": 7721347.0,
+      "step": 4240
+    },
+    {
+      "entropy": 5.471200275421142,
+      "epoch": 3.5169842584921294,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004110483757116637,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.1789921909570694,
+      "num_tokens": 7731351.0,
+      "step": 4245
+    },
+    {
+      "entropy": 5.433224248886108,
+      "epoch": 3.52112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00041079371713470195,
+      "loss": 5.0996,
+      "mean_token_accuracy": 0.18778069019317628,
+      "num_tokens": 7740413.0,
+      "step": 4250
+    },
+    {
+      "entropy": 5.416608476638794,
+      "epoch": 3.525269262634631,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041053878464697343,
+      "loss": 5.1977,
+      "mean_token_accuracy": 0.18009850829839708,
+      "num_tokens": 7749319.0,
+      "step": 4255
+    },
+    {
+      "entropy": 5.519042015075684,
+      "epoch": 3.5294117647058822,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004102835787627047,
+      "loss": 5.2446,
+      "mean_token_accuracy": 0.17312991321086885,
+      "num_tokens": 7757936.0,
+      "step": 4260
+    },
+    {
+      "entropy": 5.542943048477173,
+      "epoch": 3.5335542667771334,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004100280999966741,
+      "loss": 5.3083,
+      "mean_token_accuracy": 0.17331433892250062,
+      "num_tokens": 7767349.0,
+      "step": 4265
+    },
+    {
+      "entropy": 5.4042651653289795,
+      "epoch": 3.5376967688483845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00040977234886421007,
+      "loss": 5.1133,
+      "mean_token_accuracy": 0.17731781899929047,
+      "num_tokens": 7776448.0,
+      "step": 4270
+    },
+    {
+      "entropy": 5.4222177028656,
+      "epoch": 3.5418392709196356,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040951632588119064,
+      "loss": 5.209,
+      "mean_token_accuracy": 0.17401482313871383,
+      "num_tokens": 7785768.0,
+      "step": 4275
+    },
+    {
+      "entropy": 5.600345802307129,
+      "epoch": 3.5459817729908867,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004092600315640422,
+      "loss": 5.2999,
+      "mean_token_accuracy": 0.1715576618909836,
+      "num_tokens": 7794803.0,
+      "step": 4280
+    },
+    {
+      "entropy": 5.411063814163208,
+      "epoch": 3.550124275062138,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004090034664297382,
+      "loss": 5.157,
+      "mean_token_accuracy": 0.17963247746229172,
+      "num_tokens": 7803533.0,
+      "step": 4285
+    },
+    {
+      "entropy": 5.421855831146241,
+      "epoch": 3.5542667771333885,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00040874663099579883,
+      "loss": 5.2246,
+      "mean_token_accuracy": 0.1706953912973404,
+      "num_tokens": 7812854.0,
+      "step": 4290
+    },
+    {
+      "entropy": 5.49954047203064,
+      "epoch": 3.5584092792046396,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040848952578028915,
+      "loss": 5.1628,
+      "mean_token_accuracy": 0.174958436191082,
+      "num_tokens": 7821683.0,
+      "step": 4295
+    },
+    {
+      "entropy": 5.501424264907837,
+      "epoch": 3.5625517812758907,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004082321513018183,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.18335361480712892,
+      "num_tokens": 7830967.0,
+      "step": 4300
+    },
+    {
+      "entropy": 5.48747296333313,
+      "epoch": 3.566694283347142,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00040797450807953897,
+      "loss": 5.2159,
+      "mean_token_accuracy": 0.17444179207086563,
+      "num_tokens": 7841179.0,
+      "step": 4305
+    },
+    {
+      "entropy": 5.489819192886353,
+      "epoch": 3.5708367854183924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004077165966331454,
+      "loss": 5.1587,
+      "mean_token_accuracy": 0.1852751389145851,
+      "num_tokens": 7849841.0,
+      "step": 4310
+    },
+    {
+      "entropy": 5.301797342300415,
+      "epoch": 3.5749792874896436,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004074584174828735,
+      "loss": 5.2184,
+      "mean_token_accuracy": 0.1747626096010208,
+      "num_tokens": 7859390.0,
+      "step": 4315
+    },
+    {
+      "entropy": 5.493851947784424,
+      "epoch": 3.5791217895608947,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040719997114949856,
+      "loss": 5.1913,
+      "mean_token_accuracy": 0.17565421015024185,
+      "num_tokens": 7868848.0,
+      "step": 4320
+    },
+    {
+      "entropy": 5.506833124160766,
+      "epoch": 3.5832642916321458,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040694125815433533,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.18058759868144988,
+      "num_tokens": 7877521.0,
+      "step": 4325
+    },
+    {
+      "entropy": 5.488465976715088,
+      "epoch": 3.587406793703397,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004066822790192359,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.17181889414787294,
+      "num_tokens": 7886355.0,
+      "step": 4330
+    },
+    {
+      "entropy": 5.437413024902344,
+      "epoch": 3.591549295774648,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00040642303426658967,
+      "loss": 5.2518,
+      "mean_token_accuracy": 0.17224401384592056,
+      "num_tokens": 7895028.0,
+      "step": 4335
+    },
+    {
+      "entropy": 5.379445266723633,
+      "epoch": 3.595691797845899,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040616352441932163,
+      "loss": 5.1282,
+      "mean_token_accuracy": 0.17695483118295668,
+      "num_tokens": 7904192.0,
+      "step": 4340
+    },
+    {
+      "entropy": 5.439553546905517,
+      "epoch": 3.59983429991715,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00040590375000089146,
+      "loss": 5.2066,
+      "mean_token_accuracy": 0.17032651007175445,
+      "num_tokens": 7912328.0,
+      "step": 4345
+    },
+    {
+      "entropy": 5.5121315002441404,
+      "epoch": 3.603976801988401,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00040564371153529256,
+      "loss": 5.2517,
+      "mean_token_accuracy": 0.1720314145088196,
+      "num_tokens": 7922594.0,
+      "step": 4350
+    },
+    {
+      "entropy": 5.450373315811158,
+      "epoch": 3.608119304059652,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004053834095470509,
+      "loss": 5.2201,
+      "mean_token_accuracy": 0.16222715824842454,
+      "num_tokens": 7932345.0,
+      "step": 4355
+    },
+    {
+      "entropy": 5.505369853973389,
+      "epoch": 3.612261806130903,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00040512284456122407,
+      "loss": 5.2236,
+      "mean_token_accuracy": 0.17660728394985198,
+      "num_tokens": 7942800.0,
+      "step": 4360
+    },
+    {
+      "entropy": 5.410261583328247,
+      "epoch": 3.616404308202154,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00040486201710340016,
+      "loss": 5.1287,
+      "mean_token_accuracy": 0.1859680861234665,
+      "num_tokens": 7951094.0,
+      "step": 4365
+    },
+    {
+      "entropy": 5.429905796051026,
+      "epoch": 3.6205468102734053,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040460092769969654,
+      "loss": 5.1947,
+      "mean_token_accuracy": 0.17089750617742538,
+      "num_tokens": 7960652.0,
+      "step": 4370
+    },
+    {
+      "entropy": 5.518308162689209,
+      "epoch": 3.624689312344656,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004043395768767592,
+      "loss": 5.2977,
+      "mean_token_accuracy": 0.16983983814716339,
+      "num_tokens": 7969350.0,
+      "step": 4375
+    },
+    {
+      "entropy": 5.475090789794922,
+      "epoch": 3.628831814415907,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004040779651617612,
+      "loss": 5.1831,
+      "mean_token_accuracy": 0.1762356474995613,
+      "num_tokens": 7978969.0,
+      "step": 4380
+    },
+    {
+      "entropy": 5.422111892700196,
+      "epoch": 3.632974316487158,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040381609308240207,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.1777448311448097,
+      "num_tokens": 7988531.0,
+      "step": 4385
+    },
+    {
+      "entropy": 5.423072242736817,
+      "epoch": 3.6371168185584093,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040355396116690634,
+      "loss": 5.1864,
+      "mean_token_accuracy": 0.17186058908700944,
+      "num_tokens": 7996576.0,
+      "step": 4390
+    },
+    {
+      "entropy": 5.435235500335693,
+      "epoch": 3.6412593206296604,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004032915699440227,
+      "loss": 5.2216,
+      "mean_token_accuracy": 0.17088689655065536,
+      "num_tokens": 8006279.0,
+      "step": 4395
+    },
+    {
+      "entropy": 5.496079921722412,
+      "epoch": 3.6454018227009115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000403028919943023,
+      "loss": 5.2049,
+      "mean_token_accuracy": 0.17314011603593826,
+      "num_tokens": 8015476.0,
+      "step": 4400
+    },
+    {
+      "entropy": 5.474205350875854,
+      "epoch": 3.6495443247721626,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004027660116937009,
+      "loss": 5.2326,
+      "mean_token_accuracy": 0.17077937126159667,
+      "num_tokens": 8025450.0,
+      "step": 4405
+    },
+    {
+      "entropy": 5.4402251720428465,
+      "epoch": 3.6536868268434133,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004025028457263712,
+      "loss": 5.2238,
+      "mean_token_accuracy": 0.17810273319482803,
+      "num_tokens": 8034850.0,
+      "step": 4410
+    },
+    {
+      "entropy": 5.3980237483978275,
+      "epoch": 3.6578293289146644,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004022394225718684,
+      "loss": 5.1709,
+      "mean_token_accuracy": 0.17368220686912536,
+      "num_tokens": 8044526.0,
+      "step": 4415
+    },
+    {
+      "entropy": 5.446775197982788,
+      "epoch": 3.6619718309859155,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004019757427615456,
+      "loss": 5.1341,
+      "mean_token_accuracy": 0.17317759096622468,
+      "num_tokens": 8054033.0,
+      "step": 4420
+    },
+    {
+      "entropy": 5.478370094299317,
+      "epoch": 3.6661143330571666,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0004017118068272739,
+      "loss": 5.2298,
+      "mean_token_accuracy": 0.17926038503646852,
+      "num_tokens": 8063535.0,
+      "step": 4425
+    },
+    {
+      "entropy": 5.495908880233765,
+      "epoch": 3.6702568351284177,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040144761530144096,
+      "loss": 5.2181,
+      "mean_token_accuracy": 0.18870080262422562,
+      "num_tokens": 8073079.0,
+      "step": 4430
+    },
+    {
+      "entropy": 5.367459678649903,
+      "epoch": 3.6743993371996684,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00040118316871695,
+      "loss": 5.1505,
+      "mean_token_accuracy": 0.18230827152729034,
+      "num_tokens": 8082925.0,
+      "step": 4435
+    },
+    {
+      "entropy": 5.457099437713623,
+      "epoch": 3.6785418392709195,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040091846760721857,
+      "loss": 5.2466,
+      "mean_token_accuracy": 0.17278454601764678,
+      "num_tokens": 8092038.0,
+      "step": 4440
+    },
+    {
+      "entropy": 5.460009002685547,
+      "epoch": 3.6826843413421706,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040065351250617774,
+      "loss": 5.2137,
+      "mean_token_accuracy": 0.1679331600666046,
+      "num_tokens": 8101581.0,
+      "step": 4445
+    },
+    {
+      "entropy": 5.392482471466065,
+      "epoch": 3.6868268434134217,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00040038830394827107,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.17032679468393325,
+      "num_tokens": 8111392.0,
+      "step": 4450
+    },
+    {
+      "entropy": 5.5369532108306885,
+      "epoch": 3.690969345484673,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000400122842468453,
+      "loss": 5.2742,
+      "mean_token_accuracy": 0.16916199624538422,
+      "num_tokens": 8120941.0,
+      "step": 4455
+    },
+    {
+      "entropy": 5.403111267089844,
+      "epoch": 3.695111847555924,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003998571286021884,
+      "loss": 5.1822,
+      "mean_token_accuracy": 0.1721450611948967,
+      "num_tokens": 8129983.0,
+      "step": 4460
+    },
+    {
+      "entropy": 5.482623481750489,
+      "epoch": 3.699254349627175,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003995911628854512,
+      "loss": 5.3064,
+      "mean_token_accuracy": 0.1740827202796936,
+      "num_tokens": 8139428.0,
+      "step": 4465
+    },
+    {
+      "entropy": 5.509563970565796,
+      "epoch": 3.7033968516984257,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003993249458547234,
+      "loss": 5.2302,
+      "mean_token_accuracy": 0.16980735808610917,
+      "num_tokens": 8148520.0,
+      "step": 4470
+    },
+    {
+      "entropy": 5.3746521949768065,
+      "epoch": 3.707539353769677,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039905847804699363,
+      "loss": 5.0676,
+      "mean_token_accuracy": 0.18766331672668457,
+      "num_tokens": 8156908.0,
+      "step": 4475
+    },
+    {
+      "entropy": 5.446433591842651,
+      "epoch": 3.711681855840928,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00039879175999975677,
+      "loss": 5.2156,
+      "mean_token_accuracy": 0.18001207262277602,
+      "num_tokens": 8165677.0,
+      "step": 4480
+    },
+    {
+      "entropy": 5.386814975738526,
+      "epoch": 3.715824357912179,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00039852479225101217,
+      "loss": 5.1883,
+      "mean_token_accuracy": 0.17356531620025634,
+      "num_tokens": 8174786.0,
+      "step": 4485
+    },
+    {
+      "entropy": 5.454575872421264,
+      "epoch": 3.71996685998343,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00039825757533926305,
+      "loss": 5.2484,
+      "mean_token_accuracy": 0.16340016275644303,
+      "num_tokens": 8184150.0,
+      "step": 4490
+    },
+    {
+      "entropy": 5.4400050163269045,
+      "epoch": 3.724109362054681,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039799010980351494,
+      "loss": 5.1455,
+      "mean_token_accuracy": 0.1879016414284706,
+      "num_tokens": 8192257.0,
+      "step": 4495
+    },
+    {
+      "entropy": 5.452324247360229,
+      "epoch": 3.728251864125932,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00039772239618327535,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.1748780906200409,
+      "num_tokens": 8201041.0,
+      "step": 4500
+    },
+    {
+      "epoch": 3.728251864125932,
+      "eval_entropy": 5.297962182620441,
+      "eval_loss": 5.854063987731934,
+      "eval_mean_token_accuracy": 0.15576711011085428,
+      "eval_num_tokens": 8201041.0,
+      "eval_runtime": 2.7449,
+      "eval_samples_per_second": 1365.057,
+      "eval_steps_per_second": 170.86,
+      "step": 4500
+    },
+    {
+      "entropy": 5.430630874633789,
+      "epoch": 3.732394366197183,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00039745443501855156,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18020173758268357,
+      "num_tokens": 8209881.0,
+      "step": 4505
+    },
+    {
+      "entropy": 5.426507759094238,
+      "epoch": 3.736536868268434,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039718622684985075,
+      "loss": 5.2198,
+      "mean_token_accuracy": 0.1857784554362297,
+      "num_tokens": 8218504.0,
+      "step": 4510
+    },
+    {
+      "entropy": 5.427436780929566,
+      "epoch": 3.7406793703396852,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000396917772218178,
+      "loss": 5.0397,
+      "mean_token_accuracy": 0.19483556151390075,
+      "num_tokens": 8226785.0,
+      "step": 4515
+    },
+    {
+      "entropy": 5.463036251068115,
+      "epoch": 3.7448218724109363,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0003966490716650357,
+      "loss": 5.1879,
+      "mean_token_accuracy": 0.1808652698993683,
+      "num_tokens": 8236092.0,
+      "step": 4520
+    },
+    {
+      "entropy": 5.398115777969361,
+      "epoch": 3.7489643744821874,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039638012573242225,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18426763266324997,
+      "num_tokens": 8245297.0,
+      "step": 4525
+    },
+    {
+      "entropy": 5.498414611816406,
+      "epoch": 3.7531068765534386,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003961109349628309,
+      "loss": 5.2544,
+      "mean_token_accuracy": 0.16994525790214537,
+      "num_tokens": 8254772.0,
+      "step": 4530
+    },
+    {
+      "entropy": 5.488787031173706,
+      "epoch": 3.757249378624689,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000395841499899249,
+      "loss": 5.3168,
+      "mean_token_accuracy": 0.1684611275792122,
+      "num_tokens": 8264310.0,
+      "step": 4535
+    },
+    {
+      "entropy": 5.4844201564788815,
+      "epoch": 3.7613918806959403,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00039557182108515624,
+      "loss": 5.2197,
+      "mean_token_accuracy": 0.1802253693342209,
+      "num_tokens": 8274184.0,
+      "step": 4540
+    },
+    {
+      "entropy": 5.40406289100647,
+      "epoch": 3.7655343827671914,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039530189906452457,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.18066346347332002,
+      "num_tokens": 8283151.0,
+      "step": 4545
+    },
+    {
+      "entropy": 5.490919494628907,
+      "epoch": 3.7696768848384425,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00039503173438181605,
+      "loss": 5.2375,
+      "mean_token_accuracy": 0.16958207488059998,
+      "num_tokens": 8292574.0,
+      "step": 4550
+    },
+    {
+      "entropy": 5.37688570022583,
+      "epoch": 3.773819386909693,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039476132758198236,
+      "loss": 5.1589,
+      "mean_token_accuracy": 0.17906700521707536,
+      "num_tokens": 8301281.0,
+      "step": 4555
+    },
+    {
+      "entropy": 5.404768991470337,
+      "epoch": 3.7779618889809443,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039449067921046353,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.184201979637146,
+      "num_tokens": 8310201.0,
+      "step": 4560
+    },
+    {
+      "entropy": 5.5153802871704105,
+      "epoch": 3.7821043910521954,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00039421978981318703,
+      "loss": 5.243,
+      "mean_token_accuracy": 0.17428653091192245,
+      "num_tokens": 8320369.0,
+      "step": 4565
+    },
+    {
+      "entropy": 5.490174674987793,
+      "epoch": 3.7862468931234465,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00039394865993656625,
+      "loss": 5.2332,
+      "mean_token_accuracy": 0.17829314470291138,
+      "num_tokens": 8329519.0,
+      "step": 4570
+    },
+    {
+      "entropy": 5.4183516025543215,
+      "epoch": 3.7903893951946976,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003936772901274999,
+      "loss": 5.2233,
+      "mean_token_accuracy": 0.16786337196826934,
+      "num_tokens": 8338282.0,
+      "step": 4575
+    },
+    {
+      "entropy": 5.422275066375732,
+      "epoch": 3.7945318972659487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003934056809333705,
+      "loss": 5.2367,
+      "mean_token_accuracy": 0.1760738953948021,
+      "num_tokens": 8346861.0,
+      "step": 4580
+    },
+    {
+      "entropy": 5.493864250183106,
+      "epoch": 3.7986743993372,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039313383290204333,
+      "loss": 5.2689,
+      "mean_token_accuracy": 0.16675272732973098,
+      "num_tokens": 8356078.0,
+      "step": 4585
+    },
+    {
+      "entropy": 5.449766826629639,
+      "epoch": 3.802816901408451,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003928617465818658,
+      "loss": 5.2279,
+      "mean_token_accuracy": 0.16728012412786483,
+      "num_tokens": 8365487.0,
+      "step": 4590
+    },
+    {
+      "entropy": 5.477828598022461,
+      "epoch": 3.8069594034797016,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00039258942252166554,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.17344195693731307,
+      "num_tokens": 8374622.0,
+      "step": 4595
+    },
+    {
+      "entropy": 5.467281007766724,
+      "epoch": 3.8111019055509527,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003923168612707502,
+      "loss": 5.1437,
+      "mean_token_accuracy": 0.1838704138994217,
+      "num_tokens": 8383312.0,
+      "step": 4600
+    },
+    {
+      "entropy": 5.375951862335205,
+      "epoch": 3.815244407622204,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003920440633789053,
+      "loss": 5.1668,
+      "mean_token_accuracy": 0.17426021844148637,
+      "num_tokens": 8391987.0,
+      "step": 4605
+    },
+    {
+      "entropy": 5.411648225784302,
+      "epoch": 3.819386909693455,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039177102939639424,
+      "loss": 5.1782,
+      "mean_token_accuracy": 0.17309755831956863,
+      "num_tokens": 8401263.0,
+      "step": 4610
+    },
+    {
+      "entropy": 5.520602798461914,
+      "epoch": 3.8235294117647056,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003914977598739563,
+      "loss": 5.1998,
+      "mean_token_accuracy": 0.18663258850574493,
+      "num_tokens": 8410110.0,
+      "step": 4615
+    },
+    {
+      "entropy": 5.505752420425415,
+      "epoch": 3.8276719138359567,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003912242553628059,
+      "loss": 5.2827,
+      "mean_token_accuracy": 0.16937017440795898,
+      "num_tokens": 8419321.0,
+      "step": 4620
+    },
+    {
+      "entropy": 5.470319938659668,
+      "epoch": 3.831814415907208,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003909505164146318,
+      "loss": 5.2512,
+      "mean_token_accuracy": 0.17635022550821305,
+      "num_tokens": 8428376.0,
+      "step": 4625
+    },
+    {
+      "entropy": 5.446829080581665,
+      "epoch": 3.835956917978459,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000390676543581595,
+      "loss": 5.1826,
+      "mean_token_accuracy": 0.1743323564529419,
+      "num_tokens": 8437263.0,
+      "step": 4630
+    },
+    {
+      "entropy": 5.361465311050415,
+      "epoch": 3.84009942004971,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003904023374163289,
+      "loss": 5.1943,
+      "mean_token_accuracy": 0.17949013262987137,
+      "num_tokens": 8445889.0,
+      "step": 4635
+    },
+    {
+      "entropy": 5.503735971450806,
+      "epoch": 3.844241922120961,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003901278984719372,
+      "loss": 5.3739,
+      "mean_token_accuracy": 0.16415481567382811,
+      "num_tokens": 8456086.0,
+      "step": 4640
+    },
+    {
+      "entropy": 5.492273569107056,
+      "epoch": 3.8483844241922123,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00038985322730199326,
+      "loss": 5.2018,
+      "mean_token_accuracy": 0.1795567825436592,
+      "num_tokens": 8465150.0,
+      "step": 4645
+    },
+    {
+      "entropy": 5.431647396087646,
+      "epoch": 3.8525269262634634,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003895783244605389,
+      "loss": 5.2783,
+      "mean_token_accuracy": 0.1720671087503433,
+      "num_tokens": 8474172.0,
+      "step": 4650
+    },
+    {
+      "entropy": 5.404905462265015,
+      "epoch": 3.856669428334714,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00038930319050208315,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.18708953112363816,
+      "num_tokens": 8483636.0,
+      "step": 4655
+    },
+    {
+      "entropy": 5.408392810821534,
+      "epoch": 3.860811930405965,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00038902782598160127,
+      "loss": 5.1091,
+      "mean_token_accuracy": 0.1881578117609024,
+      "num_tokens": 8491560.0,
+      "step": 4660
+    },
+    {
+      "entropy": 5.484521150588989,
+      "epoch": 3.8649544324772163,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00038875223145453346,
+      "loss": 5.4046,
+      "mean_token_accuracy": 0.17662398070096968,
+      "num_tokens": 8501685.0,
+      "step": 4665
+    },
+    {
+      "entropy": 5.551066589355469,
+      "epoch": 3.8690969345484674,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003884764074767842,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.17176942974328996,
+      "num_tokens": 8510580.0,
+      "step": 4670
+    },
+    {
+      "entropy": 5.477302551269531,
+      "epoch": 3.873239436619718,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003882003546047205,
+      "loss": 5.2013,
+      "mean_token_accuracy": 0.17522621154785156,
+      "num_tokens": 8519595.0,
+      "step": 4675
+    },
+    {
+      "entropy": 5.506098508834839,
+      "epoch": 3.877381938690969,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00038792407339517123,
+      "loss": 5.2786,
+      "mean_token_accuracy": 0.17400375306606292,
+      "num_tokens": 8529118.0,
+      "step": 4680
+    },
+    {
+      "entropy": 5.507658243179321,
+      "epoch": 3.8815244407622203,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00038764756440542574,
+      "loss": 5.2477,
+      "mean_token_accuracy": 0.17185091674327851,
+      "num_tokens": 8539322.0,
+      "step": 4685
+    },
+    {
+      "entropy": 5.454025650024414,
+      "epoch": 3.8856669428334714,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038737082819323285,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.17740404605865479,
+      "num_tokens": 8548707.0,
+      "step": 4690
+    },
+    {
+      "entropy": 5.427890157699585,
+      "epoch": 3.8898094449047225,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00038709386531679974,
+      "loss": 5.2576,
+      "mean_token_accuracy": 0.1718251511454582,
+      "num_tokens": 8557500.0,
+      "step": 4695
+    },
+    {
+      "entropy": 5.436252593994141,
+      "epoch": 3.8939519469759736,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00038681667633479086,
+      "loss": 5.2621,
+      "mean_token_accuracy": 0.1682343602180481,
+      "num_tokens": 8567465.0,
+      "step": 4700
+    },
+    {
+      "entropy": 5.381856250762939,
+      "epoch": 3.8980944490472247,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038653926180632665,
+      "loss": 5.1165,
+      "mean_token_accuracy": 0.18321423530578612,
+      "num_tokens": 8576680.0,
+      "step": 4705
+    },
+    {
+      "entropy": 5.495894527435302,
+      "epoch": 3.902236951118476,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00038626162229098257,
+      "loss": 5.2631,
+      "mean_token_accuracy": 0.16617788672447203,
+      "num_tokens": 8585539.0,
+      "step": 4710
+    },
+    {
+      "entropy": 5.400326347351074,
+      "epoch": 3.9063794531897265,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003859837583487877,
+      "loss": 5.1007,
+      "mean_token_accuracy": 0.18613590002059938,
+      "num_tokens": 8593598.0,
+      "step": 4715
+    },
+    {
+      "entropy": 5.4148589134216305,
+      "epoch": 3.9105219552609776,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003857056705402241,
+      "loss": 5.236,
+      "mean_token_accuracy": 0.1721765860915184,
+      "num_tokens": 8603440.0,
+      "step": 4720
+    },
+    {
+      "entropy": 5.384281969070434,
+      "epoch": 3.9146644573322287,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003854273594262253,
+      "loss": 5.0591,
+      "mean_token_accuracy": 0.1858549162745476,
+      "num_tokens": 8612490.0,
+      "step": 4725
+    },
+    {
+      "entropy": 5.387153816223145,
+      "epoch": 3.91880695940348,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003851488255681752,
+      "loss": 5.1508,
+      "mean_token_accuracy": 0.17980385273694993,
+      "num_tokens": 8621994.0,
+      "step": 4730
+    },
+    {
+      "entropy": 5.462166833877563,
+      "epoch": 3.922949461474731,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000384870069527907,
+      "loss": 5.2269,
+      "mean_token_accuracy": 0.16994049549102783,
+      "num_tokens": 8631185.0,
+      "step": 4735
+    },
+    {
+      "entropy": 5.445327711105347,
+      "epoch": 3.9270919635459816,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00038459109186770213,
+      "loss": 5.1201,
+      "mean_token_accuracy": 0.18937034606933595,
+      "num_tokens": 8639018.0,
+      "step": 4740
+    },
+    {
+      "entropy": 5.365725660324097,
+      "epoch": 3.9312344656172327,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00038431189315028905,
+      "loss": 5.1293,
+      "mean_token_accuracy": 0.1805494785308838,
+      "num_tokens": 8647672.0,
+      "step": 4745
+    },
+    {
+      "entropy": 5.42286114692688,
+      "epoch": 3.9353769676884838,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003840324739388419,
+      "loss": 5.2659,
+      "mean_token_accuracy": 0.16662627309560776,
+      "num_tokens": 8656638.0,
+      "step": 4750
+    },
+    {
+      "entropy": 5.4803203582763675,
+      "epoch": 3.939519469759735,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00038375283479698,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.18231208473443986,
+      "num_tokens": 8666167.0,
+      "step": 4755
+    },
+    {
+      "entropy": 5.505121231079102,
+      "epoch": 3.943661971830986,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003834729762887659,
+      "loss": 5.3067,
+      "mean_token_accuracy": 0.16447765678167342,
+      "num_tokens": 8676435.0,
+      "step": 4760
+    },
+    {
+      "entropy": 5.413615751266479,
+      "epoch": 3.947804473902237,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003831928989787049,
+      "loss": 5.1808,
+      "mean_token_accuracy": 0.18012969940900803,
+      "num_tokens": 8686011.0,
+      "step": 4765
+    },
+    {
+      "entropy": 5.463970613479614,
+      "epoch": 3.951946975973488,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003829126034317435,
+      "loss": 5.1959,
+      "mean_token_accuracy": 0.17213619947433473,
+      "num_tokens": 8695063.0,
+      "step": 4770
+    },
+    {
+      "entropy": 5.517300796508789,
+      "epoch": 3.956089478044739,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003826320902132684,
+      "loss": 5.299,
+      "mean_token_accuracy": 0.16880902647972107,
+      "num_tokens": 8704585.0,
+      "step": 4775
+    },
+    {
+      "entropy": 5.469470262527466,
+      "epoch": 3.96023198011599,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038235135988910545,
+      "loss": 5.2111,
+      "mean_token_accuracy": 0.17501715570688248,
+      "num_tokens": 8714097.0,
+      "step": 4780
+    },
+    {
+      "entropy": 5.433980226516724,
+      "epoch": 3.964374482187241,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00038207041302551844,
+      "loss": 5.1327,
+      "mean_token_accuracy": 0.1802523225545883,
+      "num_tokens": 8722890.0,
+      "step": 4785
+    },
+    {
+      "entropy": 5.36038613319397,
+      "epoch": 3.968516984258492,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003817892501892078,
+      "loss": 5.1474,
+      "mean_token_accuracy": 0.18226009160280227,
+      "num_tokens": 8732046.0,
+      "step": 4790
+    },
+    {
+      "entropy": 5.385818529129028,
+      "epoch": 3.9726594863297433,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038150787194730977,
+      "loss": 5.1867,
+      "mean_token_accuracy": 0.18098812699317932,
+      "num_tokens": 8741750.0,
+      "step": 4795
+    },
+    {
+      "entropy": 5.49769434928894,
+      "epoch": 3.976801988400994,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000381226278867395,
+      "loss": 5.1585,
+      "mean_token_accuracy": 0.17722393125295638,
+      "num_tokens": 8750141.0,
+      "step": 4800
+    },
+    {
+      "entropy": 5.3994584560394285,
+      "epoch": 3.980944490472245,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00038094447151746746,
+      "loss": 5.0956,
+      "mean_token_accuracy": 0.18723244071006775,
+      "num_tokens": 8758567.0,
+      "step": 4805
+    },
+    {
+      "entropy": 5.376461982727051,
+      "epoch": 3.985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003806624504659635,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1782562255859375,
+      "num_tokens": 8767829.0,
+      "step": 4810
+    },
+    {
+      "entropy": 5.416551733016968,
+      "epoch": 3.9892294946147473,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003803802162817503,
+      "loss": 5.0891,
+      "mean_token_accuracy": 0.18413031548261644,
+      "num_tokens": 8776911.0,
+      "step": 4815
+    },
+    {
+      "entropy": 5.403548002243042,
+      "epoch": 3.9933719966859984,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000380097769534125,
+      "loss": 5.2011,
+      "mean_token_accuracy": 0.18309975266456605,
+      "num_tokens": 8786117.0,
+      "step": 4820
+    },
+    {
+      "entropy": 5.401311016082763,
+      "epoch": 3.9975144987572495,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003798151107928136,
+      "loss": 5.1436,
+      "mean_token_accuracy": 0.18381998240947722,
+      "num_tokens": 8795647.0,
+      "step": 4825
+    },
+    {
+      "entropy": 5.363515567779541,
+      "epoch": 4.001657000828501,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00037953224062796967,
+      "loss": 5.1114,
+      "mean_token_accuracy": 0.18405449539422988,
+      "num_tokens": 8803480.0,
+      "step": 4830
+    },
+    {
+      "entropy": 5.504069137573242,
+      "epoch": 4.005799502899752,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003792491596101733,
+      "loss": 4.9454,
+      "mean_token_accuracy": 0.19255731254816055,
+      "num_tokens": 8812825.0,
+      "step": 4835
+    },
+    {
+      "entropy": 5.45196304321289,
+      "epoch": 4.009942004971003,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003789658683104298,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19097152799367906,
+      "num_tokens": 8821911.0,
+      "step": 4840
+    },
+    {
+      "entropy": 5.429521989822388,
+      "epoch": 4.014084507042254,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037868236730016866,
+      "loss": 4.9518,
+      "mean_token_accuracy": 0.18948255032300948,
+      "num_tokens": 8830691.0,
+      "step": 4845
+    },
+    {
+      "entropy": 5.400455188751221,
+      "epoch": 4.018227009113504,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037839865715124234,
+      "loss": 4.9281,
+      "mean_token_accuracy": 0.19010053426027299,
+      "num_tokens": 8840410.0,
+      "step": 4850
+    },
+    {
+      "entropy": 5.374143838882446,
+      "epoch": 4.022369511184755,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00037811473843592534,
+      "loss": 4.9042,
+      "mean_token_accuracy": 0.19410175532102586,
+      "num_tokens": 8849662.0,
+      "step": 4855
+    },
+    {
+      "entropy": 5.4465690612792965,
+      "epoch": 4.026512013256006,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00037783061172691273,
+      "loss": 4.8985,
+      "mean_token_accuracy": 0.19412659406661986,
+      "num_tokens": 8858666.0,
+      "step": 4860
+    },
+    {
+      "entropy": 5.497456216812134,
+      "epoch": 4.0306545153272575,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003775462775973191,
+      "loss": 4.9611,
+      "mean_token_accuracy": 0.1847592905163765,
+      "num_tokens": 8867885.0,
+      "step": 4865
+    },
+    {
+      "entropy": 5.351856470108032,
+      "epoch": 4.034797017398509,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003772617366206773,
+      "loss": 4.9175,
+      "mean_token_accuracy": 0.19424951672554017,
+      "num_tokens": 8877458.0,
+      "step": 4870
+    },
+    {
+      "entropy": 5.363556432723999,
+      "epoch": 4.03893951946976,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037697698937093783,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.18704084753990174,
+      "num_tokens": 8886995.0,
+      "step": 4875
+    },
+    {
+      "entropy": 5.463095617294312,
+      "epoch": 4.043082021541011,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00037669203642246685,
+      "loss": 5.026,
+      "mean_token_accuracy": 0.18413490056991577,
+      "num_tokens": 8895224.0,
+      "step": 4880
+    },
+    {
+      "entropy": 5.4529016494750975,
+      "epoch": 4.047224523612262,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00037640687835004567,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.1925043895840645,
+      "num_tokens": 8905216.0,
+      "step": 4885
+    },
+    {
+      "entropy": 5.426698875427246,
+      "epoch": 4.051367025683513,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003761215157288692,
+      "loss": 4.9558,
+      "mean_token_accuracy": 0.19299548715353013,
+      "num_tokens": 8915493.0,
+      "step": 4890
+    },
+    {
+      "entropy": 5.362393617630005,
+      "epoch": 4.055509527754764,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00037583594913454514,
+      "loss": 4.925,
+      "mean_token_accuracy": 0.1959809884428978,
+      "num_tokens": 8924740.0,
+      "step": 4895
+    },
+    {
+      "entropy": 5.42564959526062,
+      "epoch": 4.059652029826015,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003755501791430925,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.18527257889509202,
+      "num_tokens": 8934726.0,
+      "step": 4900
+    },
+    {
+      "entropy": 5.448423719406128,
+      "epoch": 4.063794531897266,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00037526420633094044,
+      "loss": 4.9581,
+      "mean_token_accuracy": 0.18748125433921814,
+      "num_tokens": 8944301.0,
+      "step": 4905
+    },
+    {
+      "entropy": 5.449982643127441,
+      "epoch": 4.067937033968517,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037497803127492757,
+      "loss": 4.9881,
+      "mean_token_accuracy": 0.19187170565128325,
+      "num_tokens": 8953967.0,
+      "step": 4910
+    },
+    {
+      "entropy": 5.326543855667114,
+      "epoch": 4.072079536039768,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003746916545523001,
+      "loss": 4.8948,
+      "mean_token_accuracy": 0.19177066087722777,
+      "num_tokens": 8962983.0,
+      "step": 4915
+    },
+    {
+      "entropy": 5.381871175765991,
+      "epoch": 4.076222038111019,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003744050767407113,
+      "loss": 5.0191,
+      "mean_token_accuracy": 0.18154184073209761,
+      "num_tokens": 8972019.0,
+      "step": 4920
+    },
+    {
+      "entropy": 5.40556058883667,
+      "epoch": 4.08036454018227,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0003741182984182198,
+      "loss": 4.901,
+      "mean_token_accuracy": 0.20234887301921844,
+      "num_tokens": 8981751.0,
+      "step": 4925
+    },
+    {
+      "entropy": 5.3616517066955565,
+      "epoch": 4.084507042253521,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003738313201632889,
+      "loss": 4.8923,
+      "mean_token_accuracy": 0.19780989587306977,
+      "num_tokens": 8990330.0,
+      "step": 4930
+    },
+    {
+      "entropy": 5.314311408996582,
+      "epoch": 4.088649544324772,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003735441425547851,
+      "loss": 4.905,
+      "mean_token_accuracy": 0.19072338491678237,
+      "num_tokens": 8998366.0,
+      "step": 4935
+    },
+    {
+      "entropy": 5.290538501739502,
+      "epoch": 4.092792046396023,
+      "grad_norm": 1.828125,
+      "learning_rate": 0.00037325676617197697,
+      "loss": 4.8317,
+      "mean_token_accuracy": 0.20186650305986403,
+      "num_tokens": 9006881.0,
+      "step": 4940
+    },
+    {
+      "entropy": 5.323595571517944,
+      "epoch": 4.096934548467274,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0003729691915945342,
+      "loss": 4.8944,
+      "mean_token_accuracy": 0.19853760153055192,
+      "num_tokens": 9015415.0,
+      "step": 4945
+    },
+    {
+      "entropy": 5.40374059677124,
+      "epoch": 4.1010770505385254,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000372681419402526,
+      "loss": 4.9483,
+      "mean_token_accuracy": 0.19546929001808167,
+      "num_tokens": 9024578.0,
+      "step": 4950
+    },
+    {
+      "entropy": 5.381409311294556,
+      "epoch": 4.105219552609777,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003723934501764203,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.1867024227976799,
+      "num_tokens": 9032637.0,
+      "step": 4955
+    },
+    {
+      "entropy": 5.395318984985352,
+      "epoch": 4.109362054681028,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0003721052844970826,
+      "loss": 4.8913,
+      "mean_token_accuracy": 0.18718749284744263,
+      "num_tokens": 9041513.0,
+      "step": 4960
+    },
+    {
+      "entropy": 5.394489192962647,
+      "epoch": 4.113504556752279,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00037181692294577457,
+      "loss": 4.9155,
+      "mean_token_accuracy": 0.1854037255048752,
+      "num_tokens": 9051024.0,
+      "step": 4965
+    },
+    {
+      "entropy": 5.33848295211792,
+      "epoch": 4.117647058823529,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037152836610415284,
+      "loss": 4.8895,
+      "mean_token_accuracy": 0.19274405539035797,
+      "num_tokens": 9059494.0,
+      "step": 4970
+    },
+    {
+      "entropy": 5.31979193687439,
+      "epoch": 4.12178956089478,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00037123961455426836,
+      "loss": 4.7988,
+      "mean_token_accuracy": 0.19865831583738328,
+      "num_tokens": 9068166.0,
+      "step": 4975
+    },
+    {
+      "entropy": 5.391095542907715,
+      "epoch": 4.125932062966031,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00037095066887856434,
+      "loss": 4.907,
+      "mean_token_accuracy": 0.19333944320678711,
+      "num_tokens": 9077283.0,
+      "step": 4980
+    },
+    {
+      "entropy": 5.3755443572998045,
+      "epoch": 4.130074565037282,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003706615296598758,
+      "loss": 4.9332,
+      "mean_token_accuracy": 0.19493403136730195,
+      "num_tokens": 9086605.0,
+      "step": 4985
+    },
+    {
+      "entropy": 5.301020622253418,
+      "epoch": 4.134217067108533,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003703721974814282,
+      "loss": 4.9169,
+      "mean_token_accuracy": 0.19399153292179108,
+      "num_tokens": 9095567.0,
+      "step": 4990
+    },
+    {
+      "entropy": 5.282594537734985,
+      "epoch": 4.1383595691797845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00037008267292683615,
+      "loss": 4.9012,
+      "mean_token_accuracy": 0.19265301078557967,
+      "num_tokens": 9104457.0,
+      "step": 4995
+    },
+    {
+      "entropy": 5.398877716064453,
+      "epoch": 4.142502071251036,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036979295658010227,
+      "loss": 4.9533,
+      "mean_token_accuracy": 0.20162091553211212,
+      "num_tokens": 9113945.0,
+      "step": 5000
+    },
+    {
+      "epoch": 4.142502071251036,
+      "eval_entropy": 5.273210916946184,
+      "eval_loss": 5.83656120300293,
+      "eval_mean_token_accuracy": 0.15772452866281272,
+      "eval_num_tokens": 9113945.0,
+      "eval_runtime": 2.9415,
+      "eval_samples_per_second": 1273.844,
+      "eval_steps_per_second": 159.443,
+      "step": 5000
+    },
+    {
+      "entropy": 5.424594402313232,
+      "epoch": 4.146644573322287,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003695030490256161,
+      "loss": 5.0303,
+      "mean_token_accuracy": 0.18944208920001984,
+      "num_tokens": 9122996.0,
+      "step": 5005
+    },
+    {
+      "entropy": 5.355675983428955,
+      "epoch": 4.150787075393538,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000369212950848153,
+      "loss": 4.8793,
+      "mean_token_accuracy": 0.1962927296757698,
+      "num_tokens": 9132079.0,
+      "step": 5010
+    },
+    {
+      "entropy": 5.384340238571167,
+      "epoch": 4.154929577464789,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003689226626328725,
+      "loss": 5.0058,
+      "mean_token_accuracy": 0.19004727751016617,
+      "num_tokens": 9141335.0,
+      "step": 5015
+    },
+    {
+      "entropy": 5.442283582687378,
+      "epoch": 4.15907207953604,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00036863218496531767,
+      "loss": 5.0264,
+      "mean_token_accuracy": 0.18990386426448821,
+      "num_tokens": 9150049.0,
+      "step": 5020
+    },
+    {
+      "entropy": 5.409811115264892,
+      "epoch": 4.163214581607291,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003683415184314139,
+      "loss": 4.9057,
+      "mean_token_accuracy": 0.19072521328926087,
+      "num_tokens": 9159245.0,
+      "step": 5025
+    },
+    {
+      "entropy": 5.281745195388794,
+      "epoch": 4.167357083678542,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00036805066361746716,
+      "loss": 4.9432,
+      "mean_token_accuracy": 0.19057238101959229,
+      "num_tokens": 9167892.0,
+      "step": 5030
+    },
+    {
+      "entropy": 5.262811374664307,
+      "epoch": 4.1714995857497925,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036775962111016346,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.19675376862287522,
+      "num_tokens": 9176067.0,
+      "step": 5035
+    },
+    {
+      "entropy": 5.335107898712158,
+      "epoch": 4.175642087821044,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036746839149656734,
+      "loss": 4.9032,
+      "mean_token_accuracy": 0.19636716991662978,
+      "num_tokens": 9185318.0,
+      "step": 5040
+    },
+    {
+      "entropy": 5.338614749908447,
+      "epoch": 4.179784589892295,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003671769753641207,
+      "loss": 4.9605,
+      "mean_token_accuracy": 0.19530149400234223,
+      "num_tokens": 9194885.0,
+      "step": 5045
+    },
+    {
+      "entropy": 5.349650192260742,
+      "epoch": 4.183927091963546,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00036688537330064187,
+      "loss": 4.987,
+      "mean_token_accuracy": 0.19436514377593994,
+      "num_tokens": 9203906.0,
+      "step": 5050
+    },
+    {
+      "entropy": 5.318757629394531,
+      "epoch": 4.188069594034797,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000366593585894324,
+      "loss": 4.8507,
+      "mean_token_accuracy": 0.2013680413365364,
+      "num_tokens": 9213351.0,
+      "step": 5055
+    },
+    {
+      "entropy": 5.347932624816894,
+      "epoch": 4.192212096106048,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003663016137337341,
+      "loss": 4.9278,
+      "mean_token_accuracy": 0.18784158080816268,
+      "num_tokens": 9222191.0,
+      "step": 5060
+    },
+    {
+      "entropy": 5.372864198684693,
+      "epoch": 4.196354598177299,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00036600945740781197,
+      "loss": 4.9668,
+      "mean_token_accuracy": 0.1919815331697464,
+      "num_tokens": 9231517.0,
+      "step": 5065
+    },
+    {
+      "entropy": 5.393643712997436,
+      "epoch": 4.20049710024855,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036571711750586896,
+      "loss": 4.9891,
+      "mean_token_accuracy": 0.19960682690143586,
+      "num_tokens": 9241208.0,
+      "step": 5070
+    },
+    {
+      "entropy": 5.391959381103516,
+      "epoch": 4.204639602319801,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003654245946175864,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19324131309986115,
+      "num_tokens": 9250237.0,
+      "step": 5075
+    },
+    {
+      "entropy": 5.37893590927124,
+      "epoch": 4.2087821043910525,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00036513188933301504,
+      "loss": 5.0399,
+      "mean_token_accuracy": 0.18783097416162492,
+      "num_tokens": 9260273.0,
+      "step": 5080
+    },
+    {
+      "entropy": 5.378773164749146,
+      "epoch": 4.212924606462304,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003648390022425734,
+      "loss": 4.8996,
+      "mean_token_accuracy": 0.19140231609344482,
+      "num_tokens": 9268878.0,
+      "step": 5085
+    },
+    {
+      "entropy": 5.325588417053223,
+      "epoch": 4.217067108533554,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003645459339370468,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19706592857837676,
+      "num_tokens": 9276324.0,
+      "step": 5090
+    },
+    {
+      "entropy": 5.312953901290894,
+      "epoch": 4.221209610604805,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036425268500758594,
+      "loss": 4.9725,
+      "mean_token_accuracy": 0.1936806783080101,
+      "num_tokens": 9285052.0,
+      "step": 5095
+    },
+    {
+      "entropy": 5.354986000061035,
+      "epoch": 4.225352112676056,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036395925604570614,
+      "loss": 4.8763,
+      "mean_token_accuracy": 0.20042537599802018,
+      "num_tokens": 9293324.0,
+      "step": 5100
+    },
+    {
+      "entropy": 5.3900477409362795,
+      "epoch": 4.229494614747307,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003636656476432854,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19263672083616257,
+      "num_tokens": 9302131.0,
+      "step": 5105
+    },
+    {
+      "entropy": 5.263408470153808,
+      "epoch": 4.233637116818558,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003633718603925642,
+      "loss": 4.862,
+      "mean_token_accuracy": 0.19388986378908157,
+      "num_tokens": 9311128.0,
+      "step": 5110
+    },
+    {
+      "entropy": 5.420498418807983,
+      "epoch": 4.237779618889809,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0003630778948861434,
+      "loss": 4.9352,
+      "mean_token_accuracy": 0.1895424723625183,
+      "num_tokens": 9319849.0,
+      "step": 5115
+    },
+    {
+      "entropy": 5.336805248260498,
+      "epoch": 4.2419221209610605,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003627837517169836,
+      "loss": 4.9458,
+      "mean_token_accuracy": 0.18560263216495515,
+      "num_tokens": 9328355.0,
+      "step": 5120
+    },
+    {
+      "entropy": 5.352609777450562,
+      "epoch": 4.246064623032312,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003624894314784037,
+      "loss": 4.9236,
+      "mean_token_accuracy": 0.18928787410259246,
+      "num_tokens": 9337562.0,
+      "step": 5125
+    },
+    {
+      "entropy": 5.323793935775757,
+      "epoch": 4.250207125103563,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003621949347640797,
+      "loss": 4.9315,
+      "mean_token_accuracy": 0.196185165643692,
+      "num_tokens": 9347851.0,
+      "step": 5130
+    },
+    {
+      "entropy": 5.398552274703979,
+      "epoch": 4.254349627174814,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003619002621680439,
+      "loss": 4.9325,
+      "mean_token_accuracy": 0.19673411697149276,
+      "num_tokens": 9356524.0,
+      "step": 5135
+    },
+    {
+      "entropy": 5.4241108894348145,
+      "epoch": 4.258492129246065,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003616054142846829,
+      "loss": 5.0307,
+      "mean_token_accuracy": 0.1882170706987381,
+      "num_tokens": 9365521.0,
+      "step": 5140
+    },
+    {
+      "entropy": 5.301144218444824,
+      "epoch": 4.262634631317316,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003613103917087371,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19470559656620026,
+      "num_tokens": 9374088.0,
+      "step": 5145
+    },
+    {
+      "entropy": 5.345515966415405,
+      "epoch": 4.266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003610151950352994,
+      "loss": 4.9794,
+      "mean_token_accuracy": 0.19499585926532745,
+      "num_tokens": 9382683.0,
+      "step": 5150
+    },
+    {
+      "entropy": 5.306409788131714,
+      "epoch": 4.270919635459817,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0003607198248598137,
+      "loss": 4.9063,
+      "mean_token_accuracy": 0.194849793612957,
+      "num_tokens": 9391790.0,
+      "step": 5155
+    },
+    {
+      "entropy": 5.414876556396484,
+      "epoch": 4.2750621375310685,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003604242817780739,
+      "loss": 4.9901,
+      "mean_token_accuracy": 0.19321189671754838,
+      "num_tokens": 9400234.0,
+      "step": 5160
+    },
+    {
+      "entropy": 5.350374364852906,
+      "epoch": 4.27920463960232,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036012856638622273,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19192621409893035,
+      "num_tokens": 9409513.0,
+      "step": 5165
+    },
+    {
+      "entropy": 5.292260932922363,
+      "epoch": 4.283347141673571,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003598326792807504,
+      "loss": 4.9821,
+      "mean_token_accuracy": 0.18258902430534363,
+      "num_tokens": 9418608.0,
+      "step": 5170
+    },
+    {
+      "entropy": 5.427756977081299,
+      "epoch": 4.287489643744822,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00035953662105849357,
+      "loss": 5.0092,
+      "mean_token_accuracy": 0.19452760964632035,
+      "num_tokens": 9428705.0,
+      "step": 5175
+    },
+    {
+      "entropy": 5.3185462474823,
+      "epoch": 4.291632145816073,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000359240392316634,
+      "loss": 4.9177,
+      "mean_token_accuracy": 0.18542011678218842,
+      "num_tokens": 9438149.0,
+      "step": 5180
+    },
+    {
+      "entropy": 5.330511379241943,
+      "epoch": 4.295774647887324,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003589439936526974,
+      "loss": 4.8709,
+      "mean_token_accuracy": 0.19628295600414275,
+      "num_tokens": 9447566.0,
+      "step": 5185
+    },
+    {
+      "entropy": 5.303903436660766,
+      "epoch": 4.299917149958575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003586474256645525,
+      "loss": 4.9641,
+      "mean_token_accuracy": 0.1915314257144928,
+      "num_tokens": 9458156.0,
+      "step": 5190
+    },
+    {
+      "entropy": 5.410308837890625,
+      "epoch": 4.304059652029826,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035835068895040905,
+      "loss": 5.0014,
+      "mean_token_accuracy": 0.19137390553951264,
+      "num_tokens": 9467388.0,
+      "step": 5195
+    },
+    {
+      "entropy": 5.388073253631592,
+      "epoch": 4.308202154101077,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00035805378410881753,
+      "loss": 4.9642,
+      "mean_token_accuracy": 0.1940509021282196,
+      "num_tokens": 9477515.0,
+      "step": 5200
+    },
+    {
+      "entropy": 5.389194107055664,
+      "epoch": 4.312344656172328,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003577567117386675,
+      "loss": 4.9854,
+      "mean_token_accuracy": 0.1937498316168785,
+      "num_tokens": 9485851.0,
+      "step": 5205
+    },
+    {
+      "entropy": 5.377271747589111,
+      "epoch": 4.3164871582435795,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003574594724391863,
+      "loss": 4.9773,
+      "mean_token_accuracy": 0.18631901144981383,
+      "num_tokens": 9495523.0,
+      "step": 5210
+    },
+    {
+      "entropy": 5.303675985336303,
+      "epoch": 4.32062966031483,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003571620668099382,
+      "loss": 4.9104,
+      "mean_token_accuracy": 0.19740363359451293,
+      "num_tokens": 9504195.0,
+      "step": 5215
+    },
+    {
+      "entropy": 5.377063655853272,
+      "epoch": 4.324772162386081,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003568644954508227,
+      "loss": 4.9616,
+      "mean_token_accuracy": 0.1940310388803482,
+      "num_tokens": 9513313.0,
+      "step": 5220
+    },
+    {
+      "entropy": 5.400073862075805,
+      "epoch": 4.328914664457332,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003565667589620739,
+      "loss": 5.0313,
+      "mean_token_accuracy": 0.18615816980600358,
+      "num_tokens": 9522387.0,
+      "step": 5225
+    },
+    {
+      "entropy": 5.380652332305909,
+      "epoch": 4.333057166528583,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003562688579442588,
+      "loss": 4.9582,
+      "mean_token_accuracy": 0.1893748164176941,
+      "num_tokens": 9531522.0,
+      "step": 5230
+    },
+    {
+      "entropy": 5.349949216842651,
+      "epoch": 4.337199668599834,
+      "grad_norm": 1.6171875,
+      "learning_rate": 0.00035597079299827625,
+      "loss": 4.9875,
+      "mean_token_accuracy": 0.18508986830711366,
+      "num_tokens": 9540248.0,
+      "step": 5235
+    },
+    {
+      "entropy": 5.3083008289337155,
+      "epoch": 4.341342170671085,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035567256472535585,
+      "loss": 4.9192,
+      "mean_token_accuracy": 0.19538334757089615,
+      "num_tokens": 9549850.0,
+      "step": 5240
+    },
+    {
+      "entropy": 5.325525283813477,
+      "epoch": 4.345484672742336,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003553741737270566,
+      "loss": 4.9167,
+      "mean_token_accuracy": 0.19581695050001144,
+      "num_tokens": 9558929.0,
+      "step": 5245
+    },
+    {
+      "entropy": 5.291470670700074,
+      "epoch": 4.3496271748135875,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00035507562060526574,
+      "loss": 4.9163,
+      "mean_token_accuracy": 0.19085376411676408,
+      "num_tokens": 9567627.0,
+      "step": 5250
+    },
+    {
+      "entropy": 5.419774055480957,
+      "epoch": 4.353769676884839,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035477690596219763,
+      "loss": 5.0513,
+      "mean_token_accuracy": 0.18172826021909713,
+      "num_tokens": 9576223.0,
+      "step": 5255
+    },
+    {
+      "entropy": 5.422041416168213,
+      "epoch": 4.35791217895609,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00035447803040039225,
+      "loss": 5.0178,
+      "mean_token_accuracy": 0.1885324940085411,
+      "num_tokens": 9585510.0,
+      "step": 5260
+    },
+    {
+      "entropy": 5.344962453842163,
+      "epoch": 4.362054681027341,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003541789945227143,
+      "loss": 4.9361,
+      "mean_token_accuracy": 0.1920488640666008,
+      "num_tokens": 9594843.0,
+      "step": 5265
+    },
+    {
+      "entropy": 5.401527786254883,
+      "epoch": 4.366197183098592,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00035387979893235184,
+      "loss": 4.9467,
+      "mean_token_accuracy": 0.19816664457321168,
+      "num_tokens": 9604142.0,
+      "step": 5270
+    },
+    {
+      "entropy": 5.339557313919068,
+      "epoch": 4.370339685169842,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003535804442328151,
+      "loss": 4.994,
+      "mean_token_accuracy": 0.197935588657856,
+      "num_tokens": 9613669.0,
+      "step": 5275
+    },
+    {
+      "entropy": 5.395236444473267,
+      "epoch": 4.374482187241093,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00035328093102793506,
+      "loss": 4.9843,
+      "mean_token_accuracy": 0.19234263002872468,
+      "num_tokens": 9623502.0,
+      "step": 5280
+    },
+    {
+      "entropy": 5.377492380142212,
+      "epoch": 4.378624689312344,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035298125992186283,
+      "loss": 4.9784,
+      "mean_token_accuracy": 0.1910512089729309,
+      "num_tokens": 9632041.0,
+      "step": 5285
+    },
+    {
+      "entropy": 5.310422706604004,
+      "epoch": 4.3827671913835955,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00035268143151906764,
+      "loss": 4.9853,
+      "mean_token_accuracy": 0.18939480930566788,
+      "num_tokens": 9641442.0,
+      "step": 5290
+    },
+    {
+      "entropy": 5.356794643402099,
+      "epoch": 4.386909693454847,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00035238144642433616,
+      "loss": 4.956,
+      "mean_token_accuracy": 0.19045386761426925,
+      "num_tokens": 9650857.0,
+      "step": 5295
+    },
+    {
+      "entropy": 5.461606073379516,
+      "epoch": 4.391052195526098,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000352081305242771,
+      "loss": 4.9906,
+      "mean_token_accuracy": 0.1938766911625862,
+      "num_tokens": 9659173.0,
+      "step": 5300
+    },
+    {
+      "entropy": 5.355851411819458,
+      "epoch": 4.395194697597349,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035178100857978994,
+      "loss": 4.9344,
+      "mean_token_accuracy": 0.19574909955263137,
+      "num_tokens": 9668114.0,
+      "step": 5305
+    },
+    {
+      "entropy": 5.261717939376831,
+      "epoch": 4.3993371996686,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00035148055704112405,
+      "loss": 4.9927,
+      "mean_token_accuracy": 0.1930756837129593,
+      "num_tokens": 9676628.0,
+      "step": 5310
+    },
+    {
+      "entropy": 5.305881071090698,
+      "epoch": 4.403479701739851,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003511799512328168,
+      "loss": 4.8897,
+      "mean_token_accuracy": 0.19723279178142547,
+      "num_tokens": 9685801.0,
+      "step": 5315
+    },
+    {
+      "entropy": 5.3678816795349125,
+      "epoch": 4.407622203811102,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003508791917612232,
+      "loss": 4.9677,
+      "mean_token_accuracy": 0.18847441226243972,
+      "num_tokens": 9694237.0,
+      "step": 5320
+    },
+    {
+      "entropy": 5.357159948348999,
+      "epoch": 4.411764705882353,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00035057827923300785,
+      "loss": 4.887,
+      "mean_token_accuracy": 0.1993523895740509,
+      "num_tokens": 9701904.0,
+      "step": 5325
+    },
+    {
+      "entropy": 5.308569765090942,
+      "epoch": 4.415907207953604,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035027721425514414,
+      "loss": 4.8661,
+      "mean_token_accuracy": 0.20139306634664536,
+      "num_tokens": 9710784.0,
+      "step": 5330
+    },
+    {
+      "entropy": 5.310255718231201,
+      "epoch": 4.4200497100248555,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003499759974349131,
+      "loss": 4.9969,
+      "mean_token_accuracy": 0.19186950027942656,
+      "num_tokens": 9720452.0,
+      "step": 5335
+    },
+    {
+      "entropy": 5.335639381408692,
+      "epoch": 4.424192212096106,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00034967462937990194,
+      "loss": 4.9619,
+      "mean_token_accuracy": 0.18502581119537354,
+      "num_tokens": 9729122.0,
+      "step": 5340
+    },
+    {
+      "entropy": 5.414971780776978,
+      "epoch": 4.428334714167357,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000349373110698003,
+      "loss": 5.0216,
+      "mean_token_accuracy": 0.18420466929674148,
+      "num_tokens": 9738756.0,
+      "step": 5345
+    },
+    {
+      "entropy": 5.406450796127319,
+      "epoch": 4.432477216238608,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003490714419974124,
+      "loss": 5.0113,
+      "mean_token_accuracy": 0.1904602199792862,
+      "num_tokens": 9748547.0,
+      "step": 5350
+    },
+    {
+      "entropy": 5.358873558044434,
+      "epoch": 4.436619718309859,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034876962388662885,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.18162461519241332,
+      "num_tokens": 9758421.0,
+      "step": 5355
+    },
+    {
+      "entropy": 5.277571201324463,
+      "epoch": 4.44076222038111,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003484676569744525,
+      "loss": 4.8563,
+      "mean_token_accuracy": 0.19333565086126328,
+      "num_tokens": 9766855.0,
+      "step": 5360
+    },
+    {
+      "entropy": 5.348770189285278,
+      "epoch": 4.444904722452361,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003481655418699836,
+      "loss": 4.9589,
+      "mean_token_accuracy": 0.1960444375872612,
+      "num_tokens": 9776157.0,
+      "step": 5365
+    },
+    {
+      "entropy": 5.279411029815674,
+      "epoch": 4.449047224523612,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00034786327918262126,
+      "loss": 4.8489,
+      "mean_token_accuracy": 0.2087496116757393,
+      "num_tokens": 9784386.0,
+      "step": 5370
+    },
+    {
+      "entropy": 5.354473733901978,
+      "epoch": 4.4531897265948635,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00034756086952206255,
+      "loss": 4.9009,
+      "mean_token_accuracy": 0.1958460658788681,
+      "num_tokens": 9793838.0,
+      "step": 5375
+    },
+    {
+      "entropy": 5.353402185440063,
+      "epoch": 4.457332228666115,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003472583134983005,
+      "loss": 4.9971,
+      "mean_token_accuracy": 0.19221619367599488,
+      "num_tokens": 9802595.0,
+      "step": 5380
+    },
+    {
+      "entropy": 5.384884357452393,
+      "epoch": 4.461474730737366,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00034695561172162396,
+      "loss": 4.9775,
+      "mean_token_accuracy": 0.19024742841720582,
+      "num_tokens": 9811309.0,
+      "step": 5385
+    },
+    {
+      "entropy": 5.2829090595245365,
+      "epoch": 4.465617232808617,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00034665276480261526,
+      "loss": 4.9139,
+      "mean_token_accuracy": 0.1915873184800148,
+      "num_tokens": 9820327.0,
+      "step": 5390
+    },
+    {
+      "entropy": 5.351649951934815,
+      "epoch": 4.469759734879867,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003463497733521499,
+      "loss": 4.9852,
+      "mean_token_accuracy": 0.18354866653680801,
+      "num_tokens": 9829588.0,
+      "step": 5395
+    },
+    {
+      "entropy": 5.42580213546753,
+      "epoch": 4.473902236951118,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003460466379813947,
+      "loss": 4.9887,
+      "mean_token_accuracy": 0.18973219394683838,
+      "num_tokens": 9838548.0,
+      "step": 5400
+    },
+    {
+      "entropy": 5.335280847549439,
+      "epoch": 4.478044739022369,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003457433593018068,
+      "loss": 5.0018,
+      "mean_token_accuracy": 0.18838239908218385,
+      "num_tokens": 9847925.0,
+      "step": 5405
+    },
+    {
+      "entropy": 5.396121597290039,
+      "epoch": 4.48218724109362,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034543993792513243,
+      "loss": 5.0169,
+      "mean_token_accuracy": 0.18753209412097932,
+      "num_tokens": 9856839.0,
+      "step": 5410
+    },
+    {
+      "entropy": 5.37349534034729,
+      "epoch": 4.486329743164871,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003451363744634057,
+      "loss": 4.978,
+      "mean_token_accuracy": 0.19382779747247697,
+      "num_tokens": 9866519.0,
+      "step": 5415
+    },
+    {
+      "entropy": 5.430073976516724,
+      "epoch": 4.4904722452361225,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00034483266952894725,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.19110478311777115,
+      "num_tokens": 9876866.0,
+      "step": 5420
+    },
+    {
+      "entropy": 5.440963220596314,
+      "epoch": 4.494614747307374,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0003445288237343632,
+      "loss": 5.0042,
+      "mean_token_accuracy": 0.1870105817914009,
+      "num_tokens": 9884639.0,
+      "step": 5425
+    },
+    {
+      "entropy": 5.332541465759277,
+      "epoch": 4.498757249378625,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003442248376925436,
+      "loss": 4.9715,
+      "mean_token_accuracy": 0.1879585549235344,
+      "num_tokens": 9893819.0,
+      "step": 5430
+    },
+    {
+      "entropy": 5.251445341110229,
+      "epoch": 4.502899751449876,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00034392071201666167,
+      "loss": 4.9164,
+      "mean_token_accuracy": 0.19130610078573226,
+      "num_tokens": 9902419.0,
+      "step": 5435
+    },
+    {
+      "entropy": 5.390727472305298,
+      "epoch": 4.507042253521127,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000343616447320172,
+      "loss": 4.9565,
+      "mean_token_accuracy": 0.19780462980270386,
+      "num_tokens": 9912434.0,
+      "step": 5440
+    },
+    {
+      "entropy": 5.366470289230347,
+      "epoch": 4.511184755592378,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003433120442168097,
+      "loss": 4.9114,
+      "mean_token_accuracy": 0.193550705909729,
+      "num_tokens": 9921800.0,
+      "step": 5445
+    },
+    {
+      "entropy": 5.316132354736328,
+      "epoch": 4.515327257663629,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034300750332058924,
+      "loss": 4.9803,
+      "mean_token_accuracy": 0.18861733824014665,
+      "num_tokens": 9930863.0,
+      "step": 5450
+    },
+    {
+      "entropy": 5.340768337249756,
+      "epoch": 4.51946975973488,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003427028252458028,
+      "loss": 4.995,
+      "mean_token_accuracy": 0.1959969326853752,
+      "num_tokens": 9940524.0,
+      "step": 5455
+    },
+    {
+      "entropy": 5.398335361480713,
+      "epoch": 4.5236122618061305,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.0003423980106070194,
+      "loss": 4.98,
+      "mean_token_accuracy": 0.18993111699819565,
+      "num_tokens": 9948949.0,
+      "step": 5460
+    },
+    {
+      "entropy": 5.363409519195557,
+      "epoch": 4.527754763877382,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003420930600190834,
+      "loss": 5.0007,
+      "mean_token_accuracy": 0.18487946093082427,
+      "num_tokens": 9958154.0,
+      "step": 5465
+    },
+    {
+      "entropy": 5.353360748291015,
+      "epoch": 4.531897265948633,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003417879740971135,
+      "loss": 4.8917,
+      "mean_token_accuracy": 0.19643958359956742,
+      "num_tokens": 9967023.0,
+      "step": 5470
+    },
+    {
+      "entropy": 5.392623519897461,
+      "epoch": 4.536039768019884,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003414827534565014,
+      "loss": 4.9908,
+      "mean_token_accuracy": 0.18982938379049302,
+      "num_tokens": 9976596.0,
+      "step": 5475
+    },
+    {
+      "entropy": 5.358148193359375,
+      "epoch": 4.540182270091135,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00034117739871291036,
+      "loss": 4.8992,
+      "mean_token_accuracy": 0.19934887886047364,
+      "num_tokens": 9985330.0,
+      "step": 5480
+    },
+    {
+      "entropy": 5.35659613609314,
+      "epoch": 4.544324772162386,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00034087191048227445,
+      "loss": 5.032,
+      "mean_token_accuracy": 0.1861831620335579,
+      "num_tokens": 9996053.0,
+      "step": 5485
+    },
+    {
+      "entropy": 5.335864496231079,
+      "epoch": 4.548467274233637,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003405662893807967,
+      "loss": 4.9445,
+      "mean_token_accuracy": 0.1877502605319023,
+      "num_tokens": 10005517.0,
+      "step": 5490
+    },
+    {
+      "entropy": 5.389253044128418,
+      "epoch": 4.552609776304888,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003402605360249482,
+      "loss": 5.0416,
+      "mean_token_accuracy": 0.18830080330371857,
+      "num_tokens": 10014354.0,
+      "step": 5495
+    },
+    {
+      "entropy": 5.3128773212432865,
+      "epoch": 4.556752278376139,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000339954651031467,
+      "loss": 4.9238,
+      "mean_token_accuracy": 0.19178629368543626,
+      "num_tokens": 10023194.0,
+      "step": 5500
+    },
+    {
+      "epoch": 4.556752278376139,
+      "eval_entropy": 5.195640559898003,
+      "eval_loss": 5.80400276184082,
+      "eval_mean_token_accuracy": 0.15982486544323882,
+      "eval_num_tokens": 10023194.0,
+      "eval_runtime": 2.7416,
+      "eval_samples_per_second": 1366.696,
+      "eval_steps_per_second": 171.065,
+      "step": 5500
+    },
+    {
+      "entropy": 5.267048501968384,
+      "epoch": 4.5608947804473905,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00033964863501735647,
+      "loss": 4.9188,
+      "mean_token_accuracy": 0.19228280782699586,
+      "num_tokens": 10032490.0,
+      "step": 5505
+    },
+    {
+      "entropy": 5.392655229568481,
+      "epoch": 4.565037282518642,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00033934248859988453,
+      "loss": 4.9346,
+      "mean_token_accuracy": 0.19580908715724946,
+      "num_tokens": 10041613.0,
+      "step": 5510
+    },
+    {
+      "entropy": 5.262086534500122,
+      "epoch": 4.569179784589892,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003390362123965817,
+      "loss": 4.8733,
+      "mean_token_accuracy": 0.1911102056503296,
+      "num_tokens": 10050500.0,
+      "step": 5515
+    },
+    {
+      "entropy": 5.36342945098877,
+      "epoch": 4.573322286661144,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003387298070252407,
+      "loss": 4.9492,
+      "mean_token_accuracy": 0.1935834139585495,
+      "num_tokens": 10059650.0,
+      "step": 5520
+    },
+    {
+      "entropy": 5.337366104125977,
+      "epoch": 4.577464788732394,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003384232731039146,
+      "loss": 4.9844,
+      "mean_token_accuracy": 0.19709572941064835,
+      "num_tokens": 10067882.0,
+      "step": 5525
+    },
+    {
+      "entropy": 5.300627326965332,
+      "epoch": 4.581607290803645,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00033811661125091584,
+      "loss": 4.9253,
+      "mean_token_accuracy": 0.19670316576957703,
+      "num_tokens": 10077147.0,
+      "step": 5530
+    },
+    {
+      "entropy": 5.369974613189697,
+      "epoch": 4.585749792874896,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00033780982208481494,
+      "loss": 4.9829,
+      "mean_token_accuracy": 0.1897311642765999,
+      "num_tokens": 10086149.0,
+      "step": 5535
+    },
+    {
+      "entropy": 5.303711175918579,
+      "epoch": 4.589892294946147,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003375029062244392,
+      "loss": 4.9027,
+      "mean_token_accuracy": 0.20062701553106307,
+      "num_tokens": 10094997.0,
+      "step": 5540
+    },
+    {
+      "entropy": 5.461194086074829,
+      "epoch": 4.5940347970173985,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00033719586428887125,
+      "loss": 4.9635,
+      "mean_token_accuracy": 0.19236611425876618,
+      "num_tokens": 10103585.0,
+      "step": 5545
+    },
+    {
+      "entropy": 5.276572418212891,
+      "epoch": 4.59817729908865,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00033688869689744836,
+      "loss": 4.8715,
+      "mean_token_accuracy": 0.1956779330968857,
+      "num_tokens": 10113877.0,
+      "step": 5550
+    },
+    {
+      "entropy": 5.333914184570313,
+      "epoch": 4.602319801159901,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003365814046697608,
+      "loss": 4.9676,
+      "mean_token_accuracy": 0.1832288920879364,
+      "num_tokens": 10123127.0,
+      "step": 5555
+    },
+    {
+      "entropy": 5.39079098701477,
+      "epoch": 4.606462303231152,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003362739882256504,
+      "loss": 5.0347,
+      "mean_token_accuracy": 0.186669659614563,
+      "num_tokens": 10132301.0,
+      "step": 5560
+    },
+    {
+      "entropy": 5.369095230102539,
+      "epoch": 4.610604805302403,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0003359664481852099,
+      "loss": 5.0411,
+      "mean_token_accuracy": 0.18307175636291503,
+      "num_tokens": 10140985.0,
+      "step": 5565
+    },
+    {
+      "entropy": 5.309534072875977,
+      "epoch": 4.614747307373654,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00033565878516878103,
+      "loss": 4.9435,
+      "mean_token_accuracy": 0.186006298661232,
+      "num_tokens": 10149668.0,
+      "step": 5570
+    },
+    {
+      "entropy": 5.324404716491699,
+      "epoch": 4.618889809444905,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0003353509997969537,
+      "loss": 4.9982,
+      "mean_token_accuracy": 0.1883559986948967,
+      "num_tokens": 10158584.0,
+      "step": 5575
+    },
+    {
+      "entropy": 5.366722822189331,
+      "epoch": 4.623032311516155,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00033504309269056484,
+      "loss": 4.968,
+      "mean_token_accuracy": 0.19045166224241256,
+      "num_tokens": 10167657.0,
+      "step": 5580
+    },
+    {
+      "entropy": 5.274179601669312,
+      "epoch": 4.6271748135874065,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003347350644706965,
+      "loss": 4.8462,
+      "mean_token_accuracy": 0.1975993499159813,
+      "num_tokens": 10176657.0,
+      "step": 5585
+    },
+    {
+      "entropy": 5.3866353034973145,
+      "epoch": 4.631317315658658,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003344269157586754,
+      "loss": 4.9669,
+      "mean_token_accuracy": 0.19621438384056092,
+      "num_tokens": 10185132.0,
+      "step": 5590
+    },
+    {
+      "entropy": 5.304204607009888,
+      "epoch": 4.635459817729909,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00033411864717607114,
+      "loss": 4.8497,
+      "mean_token_accuracy": 0.19386404007673264,
+      "num_tokens": 10193428.0,
+      "step": 5595
+    },
+    {
+      "entropy": 5.324200677871704,
+      "epoch": 4.63960231980116,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0003338102593446951,
+      "loss": 5.0163,
+      "mean_token_accuracy": 0.18838184028863908,
+      "num_tokens": 10202549.0,
+      "step": 5600
+    },
+    {
+      "entropy": 5.341615533828735,
+      "epoch": 4.643744821872411,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00033350175288659925,
+      "loss": 4.8885,
+      "mean_token_accuracy": 0.1946927636861801,
+      "num_tokens": 10211161.0,
+      "step": 5605
+    },
+    {
+      "entropy": 5.309947538375854,
+      "epoch": 4.647887323943662,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00033319312842407483,
+      "loss": 4.9923,
+      "mean_token_accuracy": 0.18832400739192962,
+      "num_tokens": 10220988.0,
+      "step": 5610
+    },
+    {
+      "entropy": 5.2807288646698,
+      "epoch": 4.652029826014913,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003328843865796511,
+      "loss": 4.8873,
+      "mean_token_accuracy": 0.19748056083917617,
+      "num_tokens": 10229383.0,
+      "step": 5615
+    },
+    {
+      "entropy": 5.421126461029052,
+      "epoch": 4.656172328086164,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033257552797609426,
+      "loss": 4.9686,
+      "mean_token_accuracy": 0.18525946289300918,
+      "num_tokens": 10238622.0,
+      "step": 5620
+    },
+    {
+      "entropy": 5.506065034866333,
+      "epoch": 4.660314830157415,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00033226655323640553,
+      "loss": 5.0677,
+      "mean_token_accuracy": 0.18611674308776854,
+      "num_tokens": 10248201.0,
+      "step": 5625
+    },
+    {
+      "entropy": 5.445924186706543,
+      "epoch": 4.664457332228666,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000331957462983821,
+      "loss": 5.0837,
+      "mean_token_accuracy": 0.17612475752830506,
+      "num_tokens": 10258239.0,
+      "step": 5630
+    },
+    {
+      "entropy": 5.377671623229981,
+      "epoch": 4.668599834299917,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0003316482578418094,
+      "loss": 4.9675,
+      "mean_token_accuracy": 0.1935265153646469,
+      "num_tokens": 10266915.0,
+      "step": 5635
+    },
+    {
+      "entropy": 5.348722076416015,
+      "epoch": 4.672742336371169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00033133893843407126,
+      "loss": 5.0783,
+      "mean_token_accuracy": 0.18859633952379226,
+      "num_tokens": 10276826.0,
+      "step": 5640
+    },
+    {
+      "entropy": 5.327623510360718,
+      "epoch": 4.676884838442419,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00033102950538453776,
+      "loss": 4.9912,
+      "mean_token_accuracy": 0.19163501411676406,
+      "num_tokens": 10286041.0,
+      "step": 5645
+    },
+    {
+      "entropy": 5.367205619812012,
+      "epoch": 4.68102734051367,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00033071995931736897,
+      "loss": 5.0151,
+      "mean_token_accuracy": 0.19023409783840178,
+      "num_tokens": 10295258.0,
+      "step": 5650
+    },
+    {
+      "entropy": 5.404719638824463,
+      "epoch": 4.685169842584921,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00033041030085695323,
+      "loss": 4.9423,
+      "mean_token_accuracy": 0.19237637221813203,
+      "num_tokens": 10304726.0,
+      "step": 5655
+    },
+    {
+      "entropy": 5.34141435623169,
+      "epoch": 4.689312344656172,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003301005306279055,
+      "loss": 4.8745,
+      "mean_token_accuracy": 0.2018929526209831,
+      "num_tokens": 10312912.0,
+      "step": 5660
+    },
+    {
+      "entropy": 5.300086307525635,
+      "epoch": 4.693454846727423,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00032979064925506627,
+      "loss": 4.9743,
+      "mean_token_accuracy": 0.18896473944187164,
+      "num_tokens": 10322046.0,
+      "step": 5665
+    },
+    {
+      "entropy": 5.290521335601807,
+      "epoch": 4.697597348798674,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003294806573634999,
+      "loss": 4.9263,
+      "mean_token_accuracy": 0.206088125705719,
+      "num_tokens": 10331375.0,
+      "step": 5670
+    },
+    {
+      "entropy": 5.353716802597046,
+      "epoch": 4.7017398508699255,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003291705555784942,
+      "loss": 5.0624,
+      "mean_token_accuracy": 0.18850265592336654,
+      "num_tokens": 10341465.0,
+      "step": 5675
+    },
+    {
+      "entropy": 5.466339874267578,
+      "epoch": 4.705882352941177,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00032886034452555814,
+      "loss": 5.052,
+      "mean_token_accuracy": 0.18991907685995102,
+      "num_tokens": 10350137.0,
+      "step": 5680
+    },
+    {
+      "entropy": 5.3118266582489015,
+      "epoch": 4.710024855012428,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003285500248304214,
+      "loss": 4.9502,
+      "mean_token_accuracy": 0.1877942368388176,
+      "num_tokens": 10358666.0,
+      "step": 5685
+    },
+    {
+      "entropy": 5.319189500808716,
+      "epoch": 4.714167357083679,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003282395971190328,
+      "loss": 4.8375,
+      "mean_token_accuracy": 0.19829211980104447,
+      "num_tokens": 10366910.0,
+      "step": 5690
+    },
+    {
+      "entropy": 5.377291250228882,
+      "epoch": 4.71830985915493,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032792906201755876,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19080002307891847,
+      "num_tokens": 10376435.0,
+      "step": 5695
+    },
+    {
+      "entropy": 5.293179368972778,
+      "epoch": 4.72245236122618,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00032761842015238256,
+      "loss": 4.8965,
+      "mean_token_accuracy": 0.2024861231446266,
+      "num_tokens": 10384670.0,
+      "step": 5700
+    },
+    {
+      "entropy": 5.261117172241211,
+      "epoch": 4.726594863297431,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003273076721501029,
+      "loss": 4.8845,
+      "mean_token_accuracy": 0.1939824104309082,
+      "num_tokens": 10393731.0,
+      "step": 5705
+    },
+    {
+      "entropy": 5.386179351806641,
+      "epoch": 4.730737365368682,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003269968186375325,
+      "loss": 4.9916,
+      "mean_token_accuracy": 0.19829274713993073,
+      "num_tokens": 10402369.0,
+      "step": 5710
+    },
+    {
+      "entropy": 5.379951667785645,
+      "epoch": 4.7348798674399335,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003266858602416967,
+      "loss": 4.9801,
+      "mean_token_accuracy": 0.1936841771006584,
+      "num_tokens": 10411566.0,
+      "step": 5715
+    },
+    {
+      "entropy": 5.384341192245484,
+      "epoch": 4.739022369511185,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032637479758983255,
+      "loss": 5.0294,
+      "mean_token_accuracy": 0.18491634279489516,
+      "num_tokens": 10420086.0,
+      "step": 5720
+    },
+    {
+      "entropy": 5.409085655212403,
+      "epoch": 4.743164871582436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00032606363130938766,
+      "loss": 5.0704,
+      "mean_token_accuracy": 0.18897949457168578,
+      "num_tokens": 10429746.0,
+      "step": 5725
+    },
+    {
+      "entropy": 5.349277639389038,
+      "epoch": 4.747307373653687,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0003257523620280181,
+      "loss": 4.9498,
+      "mean_token_accuracy": 0.19129680693149567,
+      "num_tokens": 10438536.0,
+      "step": 5730
+    },
+    {
+      "entropy": 5.348873805999756,
+      "epoch": 4.751449875724938,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00032544099037358834,
+      "loss": 4.9497,
+      "mean_token_accuracy": 0.19692206382751465,
+      "num_tokens": 10447471.0,
+      "step": 5735
+    },
+    {
+      "entropy": 5.33362455368042,
+      "epoch": 4.755592377796189,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003251295169741688,
+      "loss": 4.962,
+      "mean_token_accuracy": 0.1995266228914261,
+      "num_tokens": 10457179.0,
+      "step": 5740
+    },
+    {
+      "entropy": 5.327010250091552,
+      "epoch": 4.75973487986744,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00032481794245803536,
+      "loss": 5.0295,
+      "mean_token_accuracy": 0.18461760133504868,
+      "num_tokens": 10466291.0,
+      "step": 5745
+    },
+    {
+      "entropy": 5.323912620544434,
+      "epoch": 4.763877381938691,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00032450626745366806,
+      "loss": 4.9102,
+      "mean_token_accuracy": 0.19402227252721788,
+      "num_tokens": 10475452.0,
+      "step": 5750
+    },
+    {
+      "entropy": 5.306818199157715,
+      "epoch": 4.768019884009942,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00032419449258974924,
+      "loss": 4.8753,
+      "mean_token_accuracy": 0.20045212656259537,
+      "num_tokens": 10484381.0,
+      "step": 5755
+    },
+    {
+      "entropy": 5.342190933227539,
+      "epoch": 4.7721623860811935,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000323882618495163,
+      "loss": 5.0665,
+      "mean_token_accuracy": 0.1831491023302078,
+      "num_tokens": 10495132.0,
+      "step": 5760
+    },
+    {
+      "entropy": 5.351349258422852,
+      "epoch": 4.776304888152444,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003235706457989934,
+      "loss": 5.0246,
+      "mean_token_accuracy": 0.1850237250328064,
+      "num_tokens": 10504519.0,
+      "step": 5765
+    },
+    {
+      "entropy": 5.387107896804809,
+      "epoch": 4.780447390223695,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032325857513052354,
+      "loss": 4.9654,
+      "mean_token_accuracy": 0.19212980419397355,
+      "num_tokens": 10513575.0,
+      "step": 5770
+    },
+    {
+      "entropy": 5.396086692810059,
+      "epoch": 4.784589892294946,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000322946407119234,
+      "loss": 5.0554,
+      "mean_token_accuracy": 0.18998173326253892,
+      "num_tokens": 10522148.0,
+      "step": 5775
+    },
+    {
+      "entropy": 5.361077404022216,
+      "epoch": 4.788732394366197,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032263414239480187,
+      "loss": 4.9891,
+      "mean_token_accuracy": 0.18589809089899062,
+      "num_tokens": 10531183.0,
+      "step": 5780
+    },
+    {
+      "entropy": 5.342947483062744,
+      "epoch": 4.792874896437448,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.000322321781587099,
+      "loss": 4.9298,
+      "mean_token_accuracy": 0.19391343146562576,
+      "num_tokens": 10540677.0,
+      "step": 5785
+    },
+    {
+      "entropy": 5.276329088211059,
+      "epoch": 4.797017398508699,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003220093253261915,
+      "loss": 4.9342,
+      "mean_token_accuracy": 0.18589555770158767,
+      "num_tokens": 10550009.0,
+      "step": 5790
+    },
+    {
+      "entropy": 5.315787076950073,
+      "epoch": 4.80115990057995,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003216967742423377,
+      "loss": 4.9621,
+      "mean_token_accuracy": 0.19312297254800798,
+      "num_tokens": 10559694.0,
+      "step": 5795
+    },
+    {
+      "entropy": 5.339448022842407,
+      "epoch": 4.8053024026512015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003213841289659872,
+      "loss": 4.9613,
+      "mean_token_accuracy": 0.20080769211053848,
+      "num_tokens": 10567965.0,
+      "step": 5800
+    },
+    {
+      "entropy": 5.312955284118653,
+      "epoch": 4.809444904722453,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003210713901277799,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.19690640568733214,
+      "num_tokens": 10577653.0,
+      "step": 5805
+    },
+    {
+      "entropy": 5.359428977966308,
+      "epoch": 4.813587406793704,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000320758558358544,
+      "loss": 4.9728,
+      "mean_token_accuracy": 0.18951950818300248,
+      "num_tokens": 10586903.0,
+      "step": 5810
+    },
+    {
+      "entropy": 5.302858638763428,
+      "epoch": 4.817729908864955,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003204456342892955,
+      "loss": 4.8829,
+      "mean_token_accuracy": 0.19500194638967513,
+      "num_tokens": 10595411.0,
+      "step": 5815
+    },
+    {
+      "entropy": 5.321697616577149,
+      "epoch": 4.821872410936205,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00032013261855123637,
+      "loss": 4.9475,
+      "mean_token_accuracy": 0.1907385230064392,
+      "num_tokens": 10604147.0,
+      "step": 5820
+    },
+    {
+      "entropy": 5.368891286849975,
+      "epoch": 4.826014913007457,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00031981951177575366,
+      "loss": 5.0445,
+      "mean_token_accuracy": 0.1850367307662964,
+      "num_tokens": 10614048.0,
+      "step": 5825
+    },
+    {
+      "entropy": 5.374803781509399,
+      "epoch": 4.830157415078707,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003195063145944178,
+      "loss": 5.0779,
+      "mean_token_accuracy": 0.18388603180646895,
+      "num_tokens": 10623399.0,
+      "step": 5830
+    },
+    {
+      "entropy": 5.389354228973389,
+      "epoch": 4.834299917149958,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003191930276389819,
+      "loss": 4.9183,
+      "mean_token_accuracy": 0.19506800919771194,
+      "num_tokens": 10632627.0,
+      "step": 5835
+    },
+    {
+      "entropy": 5.401239061355591,
+      "epoch": 4.838442419221209,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00031887965154137987,
+      "loss": 4.9726,
+      "mean_token_accuracy": 0.1816769301891327,
+      "num_tokens": 10641155.0,
+      "step": 5840
+    },
+    {
+      "entropy": 5.354168939590454,
+      "epoch": 4.8425849212924605,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003185661869337255,
+      "loss": 5.0118,
+      "mean_token_accuracy": 0.18452974855899812,
+      "num_tokens": 10649661.0,
+      "step": 5845
+    },
+    {
+      "entropy": 5.265790605545044,
+      "epoch": 4.846727423363712,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00031825263444831137,
+      "loss": 4.9151,
+      "mean_token_accuracy": 0.19235364347696304,
+      "num_tokens": 10658652.0,
+      "step": 5850
+    },
+    {
+      "entropy": 5.3790277481079105,
+      "epoch": 4.850869925434963,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003179389947176069,
+      "loss": 5.0445,
+      "mean_token_accuracy": 0.1886226385831833,
+      "num_tokens": 10668703.0,
+      "step": 5855
+    },
+    {
+      "entropy": 5.385872554779053,
+      "epoch": 4.855012427506214,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003176252683742578,
+      "loss": 4.9484,
+      "mean_token_accuracy": 0.19056980460882186,
+      "num_tokens": 10677740.0,
+      "step": 5860
+    },
+    {
+      "entropy": 5.347926044464112,
+      "epoch": 4.859154929577465,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003173114560510843,
+      "loss": 4.9447,
+      "mean_token_accuracy": 0.18929830342531204,
+      "num_tokens": 10686429.0,
+      "step": 5865
+    },
+    {
+      "entropy": 5.332098054885864,
+      "epoch": 4.863297431648716,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00031699755838108027,
+      "loss": 5.0442,
+      "mean_token_accuracy": 0.1941297546029091,
+      "num_tokens": 10696367.0,
+      "step": 5870
+    },
+    {
+      "entropy": 5.310936546325683,
+      "epoch": 4.867439933719967,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003166835759974115,
+      "loss": 4.9902,
+      "mean_token_accuracy": 0.1873769447207451,
+      "num_tokens": 10705712.0,
+      "step": 5875
+    },
+    {
+      "entropy": 5.371630382537842,
+      "epoch": 4.871582435791218,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031636950953341486,
+      "loss": 5.0345,
+      "mean_token_accuracy": 0.18638068735599517,
+      "num_tokens": 10715897.0,
+      "step": 5880
+    },
+    {
+      "entropy": 5.3334348678588865,
+      "epoch": 4.8757249378624685,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00031605535962259666,
+      "loss": 4.9268,
+      "mean_token_accuracy": 0.1887778237462044,
+      "num_tokens": 10724810.0,
+      "step": 5885
+    },
+    {
+      "entropy": 5.353308916091919,
+      "epoch": 4.87986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003157411268986316,
+      "loss": 4.9771,
+      "mean_token_accuracy": 0.1932398796081543,
+      "num_tokens": 10734661.0,
+      "step": 5890
+    },
+    {
+      "entropy": 5.287876415252685,
+      "epoch": 4.884009942004971,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003154268119953615,
+      "loss": 4.9586,
+      "mean_token_accuracy": 0.19356854259967804,
+      "num_tokens": 10743642.0,
+      "step": 5895
+    },
+    {
+      "entropy": 5.344345998764038,
+      "epoch": 4.888152444076222,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003151124155467938,
+      "loss": 4.9607,
+      "mean_token_accuracy": 0.19625648856163025,
+      "num_tokens": 10752812.0,
+      "step": 5900
+    },
+    {
+      "entropy": 5.3407337188720705,
+      "epoch": 4.892294946147473,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00031479793818710056,
+      "loss": 4.9983,
+      "mean_token_accuracy": 0.18306475579738618,
+      "num_tokens": 10762117.0,
+      "step": 5905
+    },
+    {
+      "entropy": 5.299752902984619,
+      "epoch": 4.896437448218724,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031448338055061685,
+      "loss": 4.9018,
+      "mean_token_accuracy": 0.19901909530162812,
+      "num_tokens": 10771515.0,
+      "step": 5910
+    },
+    {
+      "entropy": 5.309285831451416,
+      "epoch": 4.900579950289975,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00031416874327183994,
+      "loss": 4.9486,
+      "mean_token_accuracy": 0.19302618503570557,
+      "num_tokens": 10780610.0,
+      "step": 5915
+    },
+    {
+      "entropy": 5.22410569190979,
+      "epoch": 4.904722452361226,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031385402698542753,
+      "loss": 4.9151,
+      "mean_token_accuracy": 0.19276074767112733,
+      "num_tokens": 10789169.0,
+      "step": 5920
+    },
+    {
+      "entropy": 5.30161485671997,
+      "epoch": 4.908864954432477,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031353923232619674,
+      "loss": 4.9078,
+      "mean_token_accuracy": 0.19779694378376006,
+      "num_tokens": 10798636.0,
+      "step": 5925
+    },
+    {
+      "entropy": 5.3571271896362305,
+      "epoch": 4.9130074565037285,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003132243599291229,
+      "loss": 4.9753,
+      "mean_token_accuracy": 0.19644105434417725,
+      "num_tokens": 10808245.0,
+      "step": 5930
+    },
+    {
+      "entropy": 5.384200191497802,
+      "epoch": 4.91714995857498,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00031290941042933797,
+      "loss": 4.9679,
+      "mean_token_accuracy": 0.18787674605846405,
+      "num_tokens": 10817164.0,
+      "step": 5935
+    },
+    {
+      "entropy": 5.287544202804566,
+      "epoch": 4.92129246064623,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031259438446212953,
+      "loss": 5.0007,
+      "mean_token_accuracy": 0.18373542726039888,
+      "num_tokens": 10826098.0,
+      "step": 5940
+    },
+    {
+      "entropy": 5.33493857383728,
+      "epoch": 4.925434962717482,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00031227928266293933,
+      "loss": 5.0115,
+      "mean_token_accuracy": 0.18100205808877945,
+      "num_tokens": 10836427.0,
+      "step": 5945
+    },
+    {
+      "entropy": 5.345344829559326,
+      "epoch": 4.929577464788732,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00031196410566736215,
+      "loss": 4.9689,
+      "mean_token_accuracy": 0.19277302771806717,
+      "num_tokens": 10845804.0,
+      "step": 5950
+    },
+    {
+      "entropy": 5.3519449710845945,
+      "epoch": 4.933719966859983,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00031164885411114453,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.1908810630440712,
+      "num_tokens": 10855951.0,
+      "step": 5955
+    },
+    {
+      "entropy": 5.301464605331421,
+      "epoch": 4.937862468931234,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031133352863018315,
+      "loss": 5.079,
+      "mean_token_accuracy": 0.18923453092575074,
+      "num_tokens": 10865528.0,
+      "step": 5960
+    },
+    {
+      "entropy": 5.369193601608276,
+      "epoch": 4.942004971002485,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00031101812986052406,
+      "loss": 4.9936,
+      "mean_token_accuracy": 0.19839225262403487,
+      "num_tokens": 10874365.0,
+      "step": 5965
+    },
+    {
+      "entropy": 5.310976552963257,
+      "epoch": 4.9461474730737365,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00031070265843836107,
+      "loss": 4.9184,
+      "mean_token_accuracy": 0.1972976267337799,
+      "num_tokens": 10883034.0,
+      "step": 5970
+    },
+    {
+      "entropy": 5.323369884490967,
+      "epoch": 4.950289975144988,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003103871150000345,
+      "loss": 4.9768,
+      "mean_token_accuracy": 0.1961338758468628,
+      "num_tokens": 10892307.0,
+      "step": 5975
+    },
+    {
+      "entropy": 5.354686069488525,
+      "epoch": 4.954432477216239,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00031007150018202983,
+      "loss": 5.057,
+      "mean_token_accuracy": 0.18536237627267838,
+      "num_tokens": 10902074.0,
+      "step": 5980
+    },
+    {
+      "entropy": 5.372721862792969,
+      "epoch": 4.95857497928749,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00030975581462097673,
+      "loss": 4.8961,
+      "mean_token_accuracy": 0.19350670725107194,
+      "num_tokens": 10911205.0,
+      "step": 5985
+    },
+    {
+      "entropy": 5.278085422515869,
+      "epoch": 4.962717481358741,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00030944005895364754,
+      "loss": 4.9233,
+      "mean_token_accuracy": 0.19045489132404328,
+      "num_tokens": 10920371.0,
+      "step": 5990
+    },
+    {
+      "entropy": 5.219862222671509,
+      "epoch": 4.966859983429992,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00030912423381695584,
+      "loss": 4.9124,
+      "mean_token_accuracy": 0.20015972554683686,
+      "num_tokens": 10928741.0,
+      "step": 5995
+    },
+    {
+      "entropy": 5.3216063499450685,
+      "epoch": 4.971002485501243,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00030880833984795554,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.20140086114406586,
+      "num_tokens": 10938074.0,
+      "step": 6000
+    },
+    {
+      "epoch": 4.971002485501243,
+      "eval_entropy": 5.223882782942196,
+      "eval_loss": 5.772702217102051,
+      "eval_mean_token_accuracy": 0.16291698060437307,
+      "eval_num_tokens": 10938074.0,
+      "eval_runtime": 2.7438,
+      "eval_samples_per_second": 1365.624,
+      "eval_steps_per_second": 170.931,
+      "step": 6000
+    },
+    {
+      "entropy": 5.304221105575562,
+      "epoch": 4.975144987572493,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0003084923776838392,
+      "loss": 4.9428,
+      "mean_token_accuracy": 0.1906152918934822,
+      "num_tokens": 10946756.0,
+      "step": 6005
+    },
+    {
+      "entropy": 5.28564419746399,
+      "epoch": 4.9792874896437445,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00030817634796193705,
+      "loss": 4.9192,
+      "mean_token_accuracy": 0.19711493700742722,
+      "num_tokens": 10956313.0,
+      "step": 6010
+    },
+    {
+      "entropy": 5.420253419876099,
+      "epoch": 4.983429991714996,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00030786025131971555,
+      "loss": 4.9823,
+      "mean_token_accuracy": 0.19457563310861586,
+      "num_tokens": 10964333.0,
+      "step": 6015
+    },
+    {
+      "entropy": 5.329161500930786,
+      "epoch": 4.987572493786247,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003075440883947764,
+      "loss": 4.8999,
+      "mean_token_accuracy": 0.19664130955934525,
+      "num_tokens": 10974110.0,
+      "step": 6020
+    },
+    {
+      "entropy": 5.248602771759034,
+      "epoch": 4.991714995857498,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003072278598248544,
+      "loss": 4.9529,
+      "mean_token_accuracy": 0.19656815081834794,
+      "num_tokens": 10983186.0,
+      "step": 6025
+    },
+    {
+      "entropy": 5.307998704910278,
+      "epoch": 4.995857497928749,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00030691156624781734,
+      "loss": 4.9377,
+      "mean_token_accuracy": 0.19932860583066941,
+      "num_tokens": 10992244.0,
+      "step": 6030
+    },
+    {
+      "entropy": 5.353039836883545,
+      "epoch": 5.0,
+      "grad_norm": 1.8515625,
+      "learning_rate": 0.000306595208301664,
+      "loss": 4.927,
+      "mean_token_accuracy": 0.20540354549884796,
+      "num_tokens": 11000005.0,
+      "step": 6035
+    },
+    {
+      "entropy": 5.336960649490356,
+      "epoch": 5.004142502071251,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00030627878662452273,
+      "loss": 4.7717,
+      "mean_token_accuracy": 0.20522954761981965,
+      "num_tokens": 11009346.0,
+      "step": 6040
+    },
+    {
+      "entropy": 5.356115531921387,
+      "epoch": 5.008285004142502,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003059623018546508,
+      "loss": 4.7197,
+      "mean_token_accuracy": 0.2092713624238968,
+      "num_tokens": 11017844.0,
+      "step": 6045
+    },
+    {
+      "entropy": 5.362998294830322,
+      "epoch": 5.012427506213753,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003056457546304326,
+      "loss": 4.7531,
+      "mean_token_accuracy": 0.21363187432289124,
+      "num_tokens": 11026840.0,
+      "step": 6050
+    },
+    {
+      "entropy": 5.250718975067139,
+      "epoch": 5.016570008285004,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003053291455903782,
+      "loss": 4.7186,
+      "mean_token_accuracy": 0.2076275572180748,
+      "num_tokens": 11034906.0,
+      "step": 6055
+    },
+    {
+      "entropy": 5.263190746307373,
+      "epoch": 5.0207125103562555,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00030501247537312293,
+      "loss": 4.7802,
+      "mean_token_accuracy": 0.20651286244392394,
+      "num_tokens": 11044403.0,
+      "step": 6060
+    },
+    {
+      "entropy": 5.360515308380127,
+      "epoch": 5.024855012427507,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0003046957446174251,
+      "loss": 4.7387,
+      "mean_token_accuracy": 0.21264788061380385,
+      "num_tokens": 11052685.0,
+      "step": 6065
+    },
+    {
+      "entropy": 5.316996622085571,
+      "epoch": 5.028997514498757,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00030437895396216524,
+      "loss": 4.591,
+      "mean_token_accuracy": 0.21709324419498444,
+      "num_tokens": 11060830.0,
+      "step": 6070
+    },
+    {
+      "entropy": 5.315813970565796,
+      "epoch": 5.033140016570008,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.00030406210404634475,
+      "loss": 4.7708,
+      "mean_token_accuracy": 0.20373892933130264,
+      "num_tokens": 11070220.0,
+      "step": 6075
+    },
+    {
+      "entropy": 5.294347095489502,
+      "epoch": 5.037282518641259,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003037451955090846,
+      "loss": 4.6847,
+      "mean_token_accuracy": 0.20420003384351731,
+      "num_tokens": 11079171.0,
+      "step": 6080
+    },
+    {
+      "entropy": 5.297221279144287,
+      "epoch": 5.04142502071251,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00030342822898962377,
+      "loss": 4.7697,
+      "mean_token_accuracy": 0.20524269640445708,
+      "num_tokens": 11089205.0,
+      "step": 6085
+    },
+    {
+      "entropy": 5.273457336425781,
+      "epoch": 5.045567522783761,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003031112051273185,
+      "loss": 4.7429,
+      "mean_token_accuracy": 0.21156702935695648,
+      "num_tokens": 11098339.0,
+      "step": 6090
+    },
+    {
+      "entropy": 5.299424123764038,
+      "epoch": 5.049710024855012,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003027941245616405,
+      "loss": 4.6524,
+      "mean_token_accuracy": 0.21203886568546296,
+      "num_tokens": 11107218.0,
+      "step": 6095
+    },
+    {
+      "entropy": 5.3286974906921385,
+      "epoch": 5.0538525269262635,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003024769879321761,
+      "loss": 4.7702,
+      "mean_token_accuracy": 0.2051073744893074,
+      "num_tokens": 11116457.0,
+      "step": 6100
+    },
+    {
+      "entropy": 5.300696182250976,
+      "epoch": 5.057995028997515,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0003021597958786243,
+      "loss": 4.7449,
+      "mean_token_accuracy": 0.20762935131788254,
+      "num_tokens": 11124834.0,
+      "step": 6105
+    },
+    {
+      "entropy": 5.288244676589966,
+      "epoch": 5.062137531068766,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003018425490407962,
+      "loss": 4.76,
+      "mean_token_accuracy": 0.20868725776672364,
+      "num_tokens": 11133920.0,
+      "step": 6110
+    },
+    {
+      "entropy": 5.387529897689819,
+      "epoch": 5.066280033140017,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00030152524805861344,
+      "loss": 4.7597,
+      "mean_token_accuracy": 0.20800695270299913,
+      "num_tokens": 11143573.0,
+      "step": 6115
+    },
+    {
+      "entropy": 5.3629701137542725,
+      "epoch": 5.070422535211268,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00030120789357210667,
+      "loss": 4.8139,
+      "mean_token_accuracy": 0.20669919848442078,
+      "num_tokens": 11154255.0,
+      "step": 6120
+    },
+    {
+      "entropy": 5.300123262405395,
+      "epoch": 5.074565037282519,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00030089048622141453,
+      "loss": 4.7241,
+      "mean_token_accuracy": 0.2095050945878029,
+      "num_tokens": 11163306.0,
+      "step": 6125
+    },
+    {
+      "entropy": 5.368470001220703,
+      "epoch": 5.078707539353769,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00030057302664678243,
+      "loss": 4.7569,
+      "mean_token_accuracy": 0.20853464156389237,
+      "num_tokens": 11172763.0,
+      "step": 6130
+    },
+    {
+      "entropy": 5.33392744064331,
+      "epoch": 5.08285004142502,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00030025551548856105,
+      "loss": 4.7413,
+      "mean_token_accuracy": 0.20951523035764694,
+      "num_tokens": 11182196.0,
+      "step": 6135
+    },
+    {
+      "entropy": 5.287980794906616,
+      "epoch": 5.0869925434962715,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002999379533872051,
+      "loss": 4.7905,
+      "mean_token_accuracy": 0.19804110527038574,
+      "num_tokens": 11192462.0,
+      "step": 6140
+    },
+    {
+      "entropy": 5.281665325164795,
+      "epoch": 5.091135045567523,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002996203409832719,
+      "loss": 4.7519,
+      "mean_token_accuracy": 0.2107569918036461,
+      "num_tokens": 11201805.0,
+      "step": 6145
+    },
+    {
+      "entropy": 5.31660532951355,
+      "epoch": 5.095277547638774,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002993026789174205,
+      "loss": 4.7322,
+      "mean_token_accuracy": 0.21754502654075622,
+      "num_tokens": 11210114.0,
+      "step": 6150
+    },
+    {
+      "entropy": 5.335706996917724,
+      "epoch": 5.099420049710025,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002989849678304099,
+      "loss": 4.8147,
+      "mean_token_accuracy": 0.20241696387529373,
+      "num_tokens": 11219725.0,
+      "step": 6155
+    },
+    {
+      "entropy": 5.308135366439819,
+      "epoch": 5.103562551781276,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00029866720836309817,
+      "loss": 4.7283,
+      "mean_token_accuracy": 0.20736500322818757,
+      "num_tokens": 11228583.0,
+      "step": 6160
+    },
+    {
+      "entropy": 5.3292882442474365,
+      "epoch": 5.107705053852527,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00029834940115644086,
+      "loss": 4.7472,
+      "mean_token_accuracy": 0.20635622441768647,
+      "num_tokens": 11237787.0,
+      "step": 6165
+    },
+    {
+      "entropy": 5.2917111873626705,
+      "epoch": 5.111847555923778,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002980315468514898,
+      "loss": 4.7704,
+      "mean_token_accuracy": 0.20057149082422257,
+      "num_tokens": 11247136.0,
+      "step": 6170
+    },
+    {
+      "entropy": 5.239889097213745,
+      "epoch": 5.115990057995029,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00029771364608939196,
+      "loss": 4.6994,
+      "mean_token_accuracy": 0.20981708765029908,
+      "num_tokens": 11256931.0,
+      "step": 6175
+    },
+    {
+      "entropy": 5.272354030609131,
+      "epoch": 5.12013256006628,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002973956995113878,
+      "loss": 4.6811,
+      "mean_token_accuracy": 0.20489206910133362,
+      "num_tokens": 11266457.0,
+      "step": 6180
+    },
+    {
+      "entropy": 5.272558641433716,
+      "epoch": 5.1242750621375315,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.0002970777077588103,
+      "loss": 4.6443,
+      "mean_token_accuracy": 0.2170465260744095,
+      "num_tokens": 11274239.0,
+      "step": 6185
+    },
+    {
+      "entropy": 5.282349872589111,
+      "epoch": 5.128417564208782,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0002967596714730837,
+      "loss": 4.7752,
+      "mean_token_accuracy": 0.20363858938217164,
+      "num_tokens": 11283239.0,
+      "step": 6190
+    },
+    {
+      "entropy": 5.285331869125367,
+      "epoch": 5.132560066280033,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00029644159129572185,
+      "loss": 4.7121,
+      "mean_token_accuracy": 0.2075791761279106,
+      "num_tokens": 11291662.0,
+      "step": 6195
+    },
+    {
+      "entropy": 5.2614960193634035,
+      "epoch": 5.136702568351284,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002961234678683272,
+      "loss": 4.7453,
+      "mean_token_accuracy": 0.21309943348169327,
+      "num_tokens": 11300165.0,
+      "step": 6200
+    },
+    {
+      "entropy": 5.323043155670166,
+      "epoch": 5.140845070422535,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0002958053018325896,
+      "loss": 4.7132,
+      "mean_token_accuracy": 0.21612811386585234,
+      "num_tokens": 11309729.0,
+      "step": 6205
+    },
+    {
+      "entropy": 5.375712585449219,
+      "epoch": 5.144987572493786,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002954870938302846,
+      "loss": 4.7657,
+      "mean_token_accuracy": 0.2033802881836891,
+      "num_tokens": 11318674.0,
+      "step": 6210
+    },
+    {
+      "entropy": 5.292187595367432,
+      "epoch": 5.149130074565037,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002951688445032726,
+      "loss": 4.7309,
+      "mean_token_accuracy": 0.21144932359457017,
+      "num_tokens": 11327583.0,
+      "step": 6215
+    },
+    {
+      "entropy": 5.326848030090332,
+      "epoch": 5.153272576636288,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002948505544934971,
+      "loss": 4.7639,
+      "mean_token_accuracy": 0.2049189493060112,
+      "num_tokens": 11338132.0,
+      "step": 6220
+    },
+    {
+      "entropy": 5.31851224899292,
+      "epoch": 5.1574150787075395,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000294532224442984,
+      "loss": 4.7911,
+      "mean_token_accuracy": 0.20397177040576936,
+      "num_tokens": 11347210.0,
+      "step": 6225
+    },
+    {
+      "entropy": 5.275168132781983,
+      "epoch": 5.161557580778791,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00029421385499383976,
+      "loss": 4.6742,
+      "mean_token_accuracy": 0.22349916100502015,
+      "num_tokens": 11355479.0,
+      "step": 6230
+    },
+    {
+      "entropy": 5.348278999328613,
+      "epoch": 5.165700082850042,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00029389544678825035,
+      "loss": 4.8403,
+      "mean_token_accuracy": 0.19372698813676834,
+      "num_tokens": 11364518.0,
+      "step": 6235
+    },
+    {
+      "entropy": 5.247139596939087,
+      "epoch": 5.169842584921293,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00029357700046847985,
+      "loss": 4.737,
+      "mean_token_accuracy": 0.2046540141105652,
+      "num_tokens": 11373589.0,
+      "step": 6240
+    },
+    {
+      "entropy": 5.368101263046265,
+      "epoch": 5.173985086992544,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002932585166768694,
+      "loss": 4.7938,
+      "mean_token_accuracy": 0.20394597351551055,
+      "num_tokens": 11383209.0,
+      "step": 6245
+    },
+    {
+      "entropy": 5.315500497817993,
+      "epoch": 5.178127589063794,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00029293999605583545,
+      "loss": 4.7294,
+      "mean_token_accuracy": 0.20444581657648087,
+      "num_tokens": 11392012.0,
+      "step": 6250
+    },
+    {
+      "entropy": 5.282355690002442,
+      "epoch": 5.182270091135045,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00029262143924786905,
+      "loss": 4.7761,
+      "mean_token_accuracy": 0.20456164181232453,
+      "num_tokens": 11400489.0,
+      "step": 6255
+    },
+    {
+      "entropy": 5.2667319774627686,
+      "epoch": 5.186412593206296,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00029230284689553404,
+      "loss": 4.6817,
+      "mean_token_accuracy": 0.21175160706043245,
+      "num_tokens": 11409337.0,
+      "step": 6260
+    },
+    {
+      "entropy": 5.286681175231934,
+      "epoch": 5.190555095277547,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00029198421964146605,
+      "loss": 4.7382,
+      "mean_token_accuracy": 0.21787525415420533,
+      "num_tokens": 11418650.0,
+      "step": 6265
+    },
+    {
+      "entropy": 5.2383523941040036,
+      "epoch": 5.1946975973487985,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002916655581283709,
+      "loss": 4.747,
+      "mean_token_accuracy": 0.20590767711400987,
+      "num_tokens": 11427516.0,
+      "step": 6270
+    },
+    {
+      "entropy": 5.225810289382935,
+      "epoch": 5.19884009942005,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00029134686299902397,
+      "loss": 4.7223,
+      "mean_token_accuracy": 0.20668105334043502,
+      "num_tokens": 11435676.0,
+      "step": 6275
+    },
+    {
+      "entropy": 5.336339044570923,
+      "epoch": 5.202982601491301,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002910281348962679,
+      "loss": 4.7825,
+      "mean_token_accuracy": 0.1937339723110199,
+      "num_tokens": 11444520.0,
+      "step": 6280
+    },
+    {
+      "entropy": 5.342389440536499,
+      "epoch": 5.207125103562552,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00029070937446301225,
+      "loss": 4.7611,
+      "mean_token_accuracy": 0.20350439995527267,
+      "num_tokens": 11453759.0,
+      "step": 6285
+    },
+    {
+      "entropy": 5.377904796600342,
+      "epoch": 5.211267605633803,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002903905823422317,
+      "loss": 4.9078,
+      "mean_token_accuracy": 0.1901518851518631,
+      "num_tokens": 11463409.0,
+      "step": 6290
+    },
+    {
+      "entropy": 5.323945093154907,
+      "epoch": 5.215410107705054,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002900717591769646,
+      "loss": 4.7966,
+      "mean_token_accuracy": 0.20510322898626326,
+      "num_tokens": 11473440.0,
+      "step": 6295
+    },
+    {
+      "entropy": 5.27484130859375,
+      "epoch": 5.219552609776305,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002897529056103122,
+      "loss": 4.6336,
+      "mean_token_accuracy": 0.2183629482984543,
+      "num_tokens": 11482353.0,
+      "step": 6300
+    },
+    {
+      "entropy": 5.297479438781738,
+      "epoch": 5.223695111847556,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002894340222854371,
+      "loss": 4.7712,
+      "mean_token_accuracy": 0.20640946179628372,
+      "num_tokens": 11491331.0,
+      "step": 6305
+    },
+    {
+      "entropy": 5.215849542617798,
+      "epoch": 5.2278376139188065,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002891151098455617,
+      "loss": 4.7107,
+      "mean_token_accuracy": 0.20350281596183778,
+      "num_tokens": 11500553.0,
+      "step": 6310
+    },
+    {
+      "entropy": 5.170541191101075,
+      "epoch": 5.231980115990058,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002887961689339672,
+      "loss": 4.6526,
+      "mean_token_accuracy": 0.21051572561264037,
+      "num_tokens": 11509146.0,
+      "step": 6315
+    },
+    {
+      "entropy": 5.332199335098267,
+      "epoch": 5.236122618061309,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002884772001939924,
+      "loss": 4.7771,
+      "mean_token_accuracy": 0.20190449655056,
+      "num_tokens": 11518172.0,
+      "step": 6320
+    },
+    {
+      "entropy": 5.30375485420227,
+      "epoch": 5.24026512013256,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000288158204269032,
+      "loss": 4.7764,
+      "mean_token_accuracy": 0.19927115142345428,
+      "num_tokens": 11527291.0,
+      "step": 6325
+    },
+    {
+      "entropy": 5.285002279281616,
+      "epoch": 5.244407622203811,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00028783918180253567,
+      "loss": 4.7763,
+      "mean_token_accuracy": 0.20877851247787477,
+      "num_tokens": 11536306.0,
+      "step": 6330
+    },
+    {
+      "entropy": 5.325639486312866,
+      "epoch": 5.248550124275062,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002875201334380066,
+      "loss": 4.801,
+      "mean_token_accuracy": 0.20768691897392272,
+      "num_tokens": 11545879.0,
+      "step": 6335
+    },
+    {
+      "entropy": 5.260626125335693,
+      "epoch": 5.252692626346313,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002872010598190002,
+      "loss": 4.7203,
+      "mean_token_accuracy": 0.21331494748592378,
+      "num_tokens": 11555067.0,
+      "step": 6340
+    },
+    {
+      "entropy": 5.273142910003662,
+      "epoch": 5.256835128417564,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002868819615891229,
+      "loss": 4.699,
+      "mean_token_accuracy": 0.211579430103302,
+      "num_tokens": 11563419.0,
+      "step": 6345
+    },
+    {
+      "entropy": 5.256633758544922,
+      "epoch": 5.260977630488815,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002865628393920305,
+      "loss": 4.7696,
+      "mean_token_accuracy": 0.207663132250309,
+      "num_tokens": 11573018.0,
+      "step": 6350
+    },
+    {
+      "entropy": 5.237578821182251,
+      "epoch": 5.2651201325600665,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.0002862436938714276,
+      "loss": 4.7003,
+      "mean_token_accuracy": 0.20862672179937364,
+      "num_tokens": 11581996.0,
+      "step": 6355
+    },
+    {
+      "entropy": 5.355519008636475,
+      "epoch": 5.269262634631318,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002859245256710654,
+      "loss": 4.7534,
+      "mean_token_accuracy": 0.20775581747293473,
+      "num_tokens": 11591706.0,
+      "step": 6360
+    },
+    {
+      "entropy": 5.319948673248291,
+      "epoch": 5.273405136702569,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002856053354347411,
+      "loss": 4.7813,
+      "mean_token_accuracy": 0.2074725329875946,
+      "num_tokens": 11600616.0,
+      "step": 6365
+    },
+    {
+      "entropy": 5.243834018707275,
+      "epoch": 5.27754763877382,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002852861238062963,
+      "loss": 4.6584,
+      "mean_token_accuracy": 0.21568063348531724,
+      "num_tokens": 11609650.0,
+      "step": 6370
+    },
+    {
+      "entropy": 5.26465950012207,
+      "epoch": 5.28169014084507,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002849668914296157,
+      "loss": 4.6998,
+      "mean_token_accuracy": 0.21142313480377198,
+      "num_tokens": 11618785.0,
+      "step": 6375
+    },
+    {
+      "entropy": 5.305418300628662,
+      "epoch": 5.285832642916321,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000284647638948626,
+      "loss": 4.7576,
+      "mean_token_accuracy": 0.20556087791919708,
+      "num_tokens": 11628089.0,
+      "step": 6380
+    },
+    {
+      "entropy": 5.268257570266724,
+      "epoch": 5.289975144987572,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002843283670072942,
+      "loss": 4.8658,
+      "mean_token_accuracy": 0.19545172303915023,
+      "num_tokens": 11636954.0,
+      "step": 6385
+    },
+    {
+      "entropy": 5.275126600265503,
+      "epoch": 5.294117647058823,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0002840090762496268,
+      "loss": 4.7803,
+      "mean_token_accuracy": 0.20498874336481093,
+      "num_tokens": 11646719.0,
+      "step": 6390
+    },
+    {
+      "entropy": 5.340854024887085,
+      "epoch": 5.2982601491300745,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002836897673196681,
+      "loss": 4.7015,
+      "mean_token_accuracy": 0.20719585418701172,
+      "num_tokens": 11655589.0,
+      "step": 6395
+    },
+    {
+      "entropy": 5.227226972579956,
+      "epoch": 5.302402651201326,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00028337044086149913,
+      "loss": 4.7283,
+      "mean_token_accuracy": 0.20560554265975953,
+      "num_tokens": 11663703.0,
+      "step": 6400
+    },
+    {
+      "entropy": 5.296469211578369,
+      "epoch": 5.306545153272577,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00028305109751923616,
+      "loss": 4.8177,
+      "mean_token_accuracy": 0.20388006865978242,
+      "num_tokens": 11672643.0,
+      "step": 6405
+    },
+    {
+      "entropy": 5.270711994171142,
+      "epoch": 5.310687655343828,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00028273173793702967,
+      "loss": 4.673,
+      "mean_token_accuracy": 0.2078327417373657,
+      "num_tokens": 11681449.0,
+      "step": 6410
+    },
+    {
+      "entropy": 5.301759338378906,
+      "epoch": 5.314830157415079,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002824123627590629,
+      "loss": 4.7568,
+      "mean_token_accuracy": 0.19922166019678117,
+      "num_tokens": 11690820.0,
+      "step": 6415
+    },
+    {
+      "entropy": 5.291653823852539,
+      "epoch": 5.31897265948633,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002820929726295504,
+      "loss": 4.7858,
+      "mean_token_accuracy": 0.2068773627281189,
+      "num_tokens": 11699705.0,
+      "step": 6420
+    },
+    {
+      "entropy": 5.257635831832886,
+      "epoch": 5.323115161557581,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002817735681927371,
+      "loss": 4.7267,
+      "mean_token_accuracy": 0.21190525144338607,
+      "num_tokens": 11709417.0,
+      "step": 6425
+    },
+    {
+      "entropy": 5.305531692504883,
+      "epoch": 5.327257663628831,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00028145415009289644,
+      "loss": 4.7662,
+      "mean_token_accuracy": 0.2035451725125313,
+      "num_tokens": 11718661.0,
+      "step": 6430
+    },
+    {
+      "entropy": 5.240819025039673,
+      "epoch": 5.3314001657000825,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002811347189743297,
+      "loss": 4.7448,
+      "mean_token_accuracy": 0.21049206256866454,
+      "num_tokens": 11727568.0,
+      "step": 6435
+    },
+    {
+      "entropy": 5.250747394561768,
+      "epoch": 5.335542667771334,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00028081527548136446,
+      "loss": 4.6853,
+      "mean_token_accuracy": 0.2216053858399391,
+      "num_tokens": 11736615.0,
+      "step": 6440
+    },
+    {
+      "entropy": 5.348236608505249,
+      "epoch": 5.339685169842585,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002804958202583531,
+      "loss": 4.8181,
+      "mean_token_accuracy": 0.19986798763275146,
+      "num_tokens": 11747458.0,
+      "step": 6445
+    },
+    {
+      "entropy": 5.277511358261108,
+      "epoch": 5.343827671913836,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002801763539496718,
+      "loss": 4.7878,
+      "mean_token_accuracy": 0.2081502467393875,
+      "num_tokens": 11756279.0,
+      "step": 6450
+    },
+    {
+      "entropy": 5.279990530014038,
+      "epoch": 5.347970173985087,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002798568771997188,
+      "loss": 4.7942,
+      "mean_token_accuracy": 0.2071585923433304,
+      "num_tokens": 11765022.0,
+      "step": 6455
+    },
+    {
+      "entropy": 5.2339942932128904,
+      "epoch": 5.352112676056338,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002795373906529137,
+      "loss": 4.7376,
+      "mean_token_accuracy": 0.20560838282108307,
+      "num_tokens": 11774704.0,
+      "step": 6460
+    },
+    {
+      "entropy": 5.248803615570068,
+      "epoch": 5.356255178127589,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002792178949536959,
+      "loss": 4.6784,
+      "mean_token_accuracy": 0.21611350923776626,
+      "num_tokens": 11782309.0,
+      "step": 6465
+    },
+    {
+      "entropy": 5.28652811050415,
+      "epoch": 5.36039768019884,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000278898390746523,
+      "loss": 4.7467,
+      "mean_token_accuracy": 0.20095686316490174,
+      "num_tokens": 11792595.0,
+      "step": 6470
+    },
+    {
+      "entropy": 5.2047077178955075,
+      "epoch": 5.364540182270091,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00027857887867587005,
+      "loss": 4.7269,
+      "mean_token_accuracy": 0.21140239089727403,
+      "num_tokens": 11801536.0,
+      "step": 6475
+    },
+    {
+      "entropy": 5.271708583831787,
+      "epoch": 5.368682684341342,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002782593593862276,
+      "loss": 4.8229,
+      "mean_token_accuracy": 0.19779271334409715,
+      "num_tokens": 11810222.0,
+      "step": 6480
+    },
+    {
+      "entropy": 5.317666244506836,
+      "epoch": 5.3728251864125935,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002779398335221011,
+      "loss": 4.8066,
+      "mean_token_accuracy": 0.20721431225538253,
+      "num_tokens": 11819310.0,
+      "step": 6485
+    },
+    {
+      "entropy": 5.305458688735962,
+      "epoch": 5.376967688483845,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.0002776203017280092,
+      "loss": 4.7703,
+      "mean_token_accuracy": 0.19982181042432784,
+      "num_tokens": 11827916.0,
+      "step": 6490
+    },
+    {
+      "entropy": 5.217341518402099,
+      "epoch": 5.381110190555095,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00027730076464848225,
+      "loss": 4.7654,
+      "mean_token_accuracy": 0.20862893313169478,
+      "num_tokens": 11836770.0,
+      "step": 6495
+    },
+    {
+      "entropy": 5.276216888427735,
+      "epoch": 5.385252692626346,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00027698122292806174,
+      "loss": 4.7006,
+      "mean_token_accuracy": 0.21164953708648682,
+      "num_tokens": 11845917.0,
+      "step": 6500
+    },
+    {
+      "epoch": 5.385252692626346,
+      "eval_entropy": 5.213927641097925,
+      "eval_loss": 5.769200801849365,
+      "eval_mean_token_accuracy": 0.16407465213524508,
+      "eval_num_tokens": 11845917.0,
+      "eval_runtime": 2.9494,
+      "eval_samples_per_second": 1270.426,
+      "eval_steps_per_second": 159.015,
+      "step": 6500
+    },
+    {
+      "entropy": 5.290333843231201,
+      "epoch": 5.389395194697597,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.000276661677211298,
+      "loss": 4.7403,
+      "mean_token_accuracy": 0.20341738760471345,
+      "num_tokens": 11855118.0,
+      "step": 6505
+    },
+    {
+      "entropy": 5.278094148635864,
+      "epoch": 5.393537696768848,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002763421281427497,
+      "loss": 4.6794,
+      "mean_token_accuracy": 0.21257141679525376,
+      "num_tokens": 11863793.0,
+      "step": 6510
+    },
+    {
+      "entropy": 5.368717813491822,
+      "epoch": 5.397680198840099,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002760225763669823,
+      "loss": 4.8171,
+      "mean_token_accuracy": 0.197501078248024,
+      "num_tokens": 11873194.0,
+      "step": 6515
+    },
+    {
+      "entropy": 5.341726636886596,
+      "epoch": 5.40182270091135,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00027570302252856666,
+      "loss": 4.7747,
+      "mean_token_accuracy": 0.20519590526819229,
+      "num_tokens": 11882566.0,
+      "step": 6520
+    },
+    {
+      "entropy": 5.2676441192626955,
+      "epoch": 5.4059652029826015,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00027538346727207767,
+      "loss": 4.7475,
+      "mean_token_accuracy": 0.21314287781715394,
+      "num_tokens": 11892267.0,
+      "step": 6525
+    },
+    {
+      "entropy": 5.272220420837402,
+      "epoch": 5.410107705053853,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002750639112420934,
+      "loss": 4.7716,
+      "mean_token_accuracy": 0.21124217808246612,
+      "num_tokens": 11901440.0,
+      "step": 6530
+    },
+    {
+      "entropy": 5.270874547958374,
+      "epoch": 5.414250207125104,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00027474435508319304,
+      "loss": 4.8396,
+      "mean_token_accuracy": 0.20556266158819197,
+      "num_tokens": 11911259.0,
+      "step": 6535
+    },
+    {
+      "entropy": 5.265343093872071,
+      "epoch": 5.418392709196355,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00027442479943995645,
+      "loss": 4.7941,
+      "mean_token_accuracy": 0.2035036563873291,
+      "num_tokens": 11920467.0,
+      "step": 6540
+    },
+    {
+      "entropy": 5.283535575866699,
+      "epoch": 5.422535211267606,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002741052449569624,
+      "loss": 4.8089,
+      "mean_token_accuracy": 0.19865555614233016,
+      "num_tokens": 11929971.0,
+      "step": 6545
+    },
+    {
+      "entropy": 5.330445003509522,
+      "epoch": 5.426677713338857,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002737856922787869,
+      "loss": 4.8088,
+      "mean_token_accuracy": 0.19926221221685408,
+      "num_tokens": 11938585.0,
+      "step": 6550
+    },
+    {
+      "entropy": 5.301173543930053,
+      "epoch": 5.430820215410108,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027346614205000277,
+      "loss": 4.7884,
+      "mean_token_accuracy": 0.20320066064596176,
+      "num_tokens": 11948264.0,
+      "step": 6555
+    },
+    {
+      "entropy": 5.329202175140381,
+      "epoch": 5.434962717481358,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00027314659491517777,
+      "loss": 4.7827,
+      "mean_token_accuracy": 0.2079697236418724,
+      "num_tokens": 11958459.0,
+      "step": 6560
+    },
+    {
+      "entropy": 5.296626996994019,
+      "epoch": 5.4391052195526095,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002728270515188733,
+      "loss": 4.7728,
+      "mean_token_accuracy": 0.20527158677577972,
+      "num_tokens": 11967994.0,
+      "step": 6565
+    },
+    {
+      "entropy": 5.325187683105469,
+      "epoch": 5.443247721623861,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002725075125056435,
+      "loss": 4.8235,
+      "mean_token_accuracy": 0.21111733317375184,
+      "num_tokens": 11976564.0,
+      "step": 6570
+    },
+    {
+      "entropy": 5.296580266952515,
+      "epoch": 5.447390223695112,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002721879785200333,
+      "loss": 4.7541,
+      "mean_token_accuracy": 0.21026979386806488,
+      "num_tokens": 11985682.0,
+      "step": 6575
+    },
+    {
+      "entropy": 5.34701886177063,
+      "epoch": 5.451532725766363,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002718684502065777,
+      "loss": 4.8138,
+      "mean_token_accuracy": 0.20367322415113448,
+      "num_tokens": 11995098.0,
+      "step": 6580
+    },
+    {
+      "entropy": 5.3261590003967285,
+      "epoch": 5.455675227837614,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00027154892820980024,
+      "loss": 4.8096,
+      "mean_token_accuracy": 0.206008443236351,
+      "num_tokens": 12004538.0,
+      "step": 6585
+    },
+    {
+      "entropy": 5.262662792205811,
+      "epoch": 5.459817729908865,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00027122941317421175,
+      "loss": 4.741,
+      "mean_token_accuracy": 0.21086378544569015,
+      "num_tokens": 12012568.0,
+      "step": 6590
+    },
+    {
+      "entropy": 5.287980222702027,
+      "epoch": 5.463960231980116,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000270909905744309,
+      "loss": 4.776,
+      "mean_token_accuracy": 0.20741475820541383,
+      "num_tokens": 12021934.0,
+      "step": 6595
+    },
+    {
+      "entropy": 5.313226222991943,
+      "epoch": 5.468102734051367,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00027059040656457316,
+      "loss": 4.8104,
+      "mean_token_accuracy": 0.2010733589529991,
+      "num_tokens": 12031158.0,
+      "step": 6600
+    },
+    {
+      "entropy": 5.3314722061157225,
+      "epoch": 5.472245236122618,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002702709162794692,
+      "loss": 4.8078,
+      "mean_token_accuracy": 0.20088913142681122,
+      "num_tokens": 12040392.0,
+      "step": 6605
+    },
+    {
+      "entropy": 5.248980331420898,
+      "epoch": 5.4763877381938695,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00026995143553344394,
+      "loss": 4.6481,
+      "mean_token_accuracy": 0.21935920119285585,
+      "num_tokens": 12048412.0,
+      "step": 6610
+    },
+    {
+      "entropy": 5.258455896377564,
+      "epoch": 5.48053024026512,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00026963196497092483,
+      "loss": 4.7625,
+      "mean_token_accuracy": 0.20619691014289857,
+      "num_tokens": 12057681.0,
+      "step": 6615
+    },
+    {
+      "entropy": 5.290913534164429,
+      "epoch": 5.484672742336371,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00026931250523631905,
+      "loss": 4.7451,
+      "mean_token_accuracy": 0.20713003873825073,
+      "num_tokens": 12066243.0,
+      "step": 6620
+    },
+    {
+      "entropy": 5.215484523773194,
+      "epoch": 5.488815244407622,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026899305697401175,
+      "loss": 4.7545,
+      "mean_token_accuracy": 0.20806889086961747,
+      "num_tokens": 12075312.0,
+      "step": 6625
+    },
+    {
+      "entropy": 5.231590509414673,
+      "epoch": 5.492957746478873,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002686736208283649,
+      "loss": 4.7629,
+      "mean_token_accuracy": 0.20990005433559417,
+      "num_tokens": 12083990.0,
+      "step": 6630
+    },
+    {
+      "entropy": 5.376721620559692,
+      "epoch": 5.497100248550124,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00026835419744371627,
+      "loss": 4.8732,
+      "mean_token_accuracy": 0.19839346706867217,
+      "num_tokens": 12093301.0,
+      "step": 6635
+    },
+    {
+      "entropy": 5.241463851928711,
+      "epoch": 5.501242750621375,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002680347874643775,
+      "loss": 4.6882,
+      "mean_token_accuracy": 0.21418087482452391,
+      "num_tokens": 12102054.0,
+      "step": 6640
+    },
+    {
+      "entropy": 5.262872982025146,
+      "epoch": 5.505385252692626,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002677153915346336,
+      "loss": 4.7708,
+      "mean_token_accuracy": 0.20341249853372573,
+      "num_tokens": 12111432.0,
+      "step": 6645
+    },
+    {
+      "entropy": 5.237018823623657,
+      "epoch": 5.5095277547638775,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002673960102987412,
+      "loss": 4.7032,
+      "mean_token_accuracy": 0.21349260658025743,
+      "num_tokens": 12120424.0,
+      "step": 6650
+    },
+    {
+      "entropy": 5.301366519927979,
+      "epoch": 5.513670256835129,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00026707664440092676,
+      "loss": 4.8377,
+      "mean_token_accuracy": 0.20626042485237123,
+      "num_tokens": 12130210.0,
+      "step": 6655
+    },
+    {
+      "entropy": 5.414148330688477,
+      "epoch": 5.51781275890638,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00026675729448538655,
+      "loss": 4.8269,
+      "mean_token_accuracy": 0.21095569282770157,
+      "num_tokens": 12139366.0,
+      "step": 6660
+    },
+    {
+      "entropy": 5.2740867137908936,
+      "epoch": 5.521955260977631,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00026643796119628404,
+      "loss": 4.6432,
+      "mean_token_accuracy": 0.21321782022714614,
+      "num_tokens": 12148385.0,
+      "step": 6665
+    },
+    {
+      "entropy": 5.290845537185669,
+      "epoch": 5.526097763048882,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002661186451777495,
+      "loss": 4.7822,
+      "mean_token_accuracy": 0.20492887496948242,
+      "num_tokens": 12156640.0,
+      "step": 6670
+    },
+    {
+      "entropy": 5.280693674087525,
+      "epoch": 5.530240265120133,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002657993470738781,
+      "loss": 4.8587,
+      "mean_token_accuracy": 0.19673615247011184,
+      "num_tokens": 12166532.0,
+      "step": 6675
+    },
+    {
+      "entropy": 5.24079852104187,
+      "epoch": 5.534382767191383,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026548006752872915,
+      "loss": 4.6934,
+      "mean_token_accuracy": 0.2146509751677513,
+      "num_tokens": 12175239.0,
+      "step": 6680
+    },
+    {
+      "entropy": 5.243715524673462,
+      "epoch": 5.538525269262634,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002651608071863244,
+      "loss": 4.7611,
+      "mean_token_accuracy": 0.20688466280698775,
+      "num_tokens": 12184588.0,
+      "step": 6685
+    },
+    {
+      "entropy": 5.333131456375122,
+      "epoch": 5.542667771333885,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00026484156669064665,
+      "loss": 4.8177,
+      "mean_token_accuracy": 0.20230551064014435,
+      "num_tokens": 12194140.0,
+      "step": 6690
+    },
+    {
+      "entropy": 5.310734224319458,
+      "epoch": 5.5468102734051365,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.000264522346685639,
+      "loss": 4.8193,
+      "mean_token_accuracy": 0.20696787536144257,
+      "num_tokens": 12203504.0,
+      "step": 6695
+    },
+    {
+      "entropy": 5.33381724357605,
+      "epoch": 5.550952775476388,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0002642031478152031,
+      "loss": 4.7782,
+      "mean_token_accuracy": 0.207833394408226,
+      "num_tokens": 12212594.0,
+      "step": 6700
+    },
+    {
+      "entropy": 5.3383890151977536,
+      "epoch": 5.555095277547639,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00026388397072319786,
+      "loss": 4.8162,
+      "mean_token_accuracy": 0.2045178234577179,
+      "num_tokens": 12222101.0,
+      "step": 6705
+    },
+    {
+      "entropy": 5.29089732170105,
+      "epoch": 5.55923777961889,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002635648160534385,
+      "loss": 4.8118,
+      "mean_token_accuracy": 0.20435990989208222,
+      "num_tokens": 12232118.0,
+      "step": 6710
+    },
+    {
+      "entropy": 5.352822351455688,
+      "epoch": 5.563380281690141,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026324568444969473,
+      "loss": 4.7439,
+      "mean_token_accuracy": 0.20706239342689514,
+      "num_tokens": 12241275.0,
+      "step": 6715
+    },
+    {
+      "entropy": 5.245583724975586,
+      "epoch": 5.567522783761392,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026292657655569,
+      "loss": 4.7375,
+      "mean_token_accuracy": 0.21279312521219254,
+      "num_tokens": 12251125.0,
+      "step": 6720
+    },
+    {
+      "entropy": 5.229356813430786,
+      "epoch": 5.571665285832643,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00026260749301509954,
+      "loss": 4.7241,
+      "mean_token_accuracy": 0.21198077648878097,
+      "num_tokens": 12260613.0,
+      "step": 6725
+    },
+    {
+      "entropy": 5.324583339691162,
+      "epoch": 5.575807787903894,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026228843447155005,
+      "loss": 4.733,
+      "mean_token_accuracy": 0.2107634127140045,
+      "num_tokens": 12269878.0,
+      "step": 6730
+    },
+    {
+      "entropy": 5.270222854614258,
+      "epoch": 5.5799502899751445,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00026196940156861736,
+      "loss": 4.7819,
+      "mean_token_accuracy": 0.20616225749254227,
+      "num_tokens": 12278616.0,
+      "step": 6735
+    },
+    {
+      "entropy": 5.194797945022583,
+      "epoch": 5.584092792046396,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00026165039494982555,
+      "loss": 4.7068,
+      "mean_token_accuracy": 0.2110671728849411,
+      "num_tokens": 12287104.0,
+      "step": 6740
+    },
+    {
+      "entropy": 5.187378549575806,
+      "epoch": 5.588235294117647,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00026133141525864605,
+      "loss": 4.7357,
+      "mean_token_accuracy": 0.20822987705469131,
+      "num_tokens": 12296503.0,
+      "step": 6745
+    },
+    {
+      "entropy": 5.294446992874145,
+      "epoch": 5.592377796188898,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00026101246313849557,
+      "loss": 4.6989,
+      "mean_token_accuracy": 0.2123148426413536,
+      "num_tokens": 12306298.0,
+      "step": 6750
+    },
+    {
+      "entropy": 5.2862865924835205,
+      "epoch": 5.596520298260149,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0002606935392327356,
+      "loss": 4.7664,
+      "mean_token_accuracy": 0.20611962229013442,
+      "num_tokens": 12314826.0,
+      "step": 6755
+    },
+    {
+      "entropy": 5.258157396316529,
+      "epoch": 5.6006628003314,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00026037464418467035,
+      "loss": 4.7079,
+      "mean_token_accuracy": 0.21357058137655258,
+      "num_tokens": 12323776.0,
+      "step": 6760
+    },
+    {
+      "entropy": 5.312329053878784,
+      "epoch": 5.604805302402651,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002600557786375459,
+      "loss": 4.7819,
+      "mean_token_accuracy": 0.20854859054088593,
+      "num_tokens": 12332374.0,
+      "step": 6765
+    },
+    {
+      "entropy": 5.217779874801636,
+      "epoch": 5.608947804473902,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00025973694323454916,
+      "loss": 4.6354,
+      "mean_token_accuracy": 0.21756067872047424,
+      "num_tokens": 12341007.0,
+      "step": 6770
+    },
+    {
+      "entropy": 5.175305271148682,
+      "epoch": 5.613090306545153,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00025941813861880575,
+      "loss": 4.7114,
+      "mean_token_accuracy": 0.20966241657733917,
+      "num_tokens": 12350330.0,
+      "step": 6775
+    },
+    {
+      "entropy": 5.267894315719604,
+      "epoch": 5.6172328086164045,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00025909936543337957,
+      "loss": 4.7519,
+      "mean_token_accuracy": 0.1993374451994896,
+      "num_tokens": 12358592.0,
+      "step": 6780
+    },
+    {
+      "entropy": 5.290813016891479,
+      "epoch": 5.621375310687656,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002587806243212709,
+      "loss": 4.7692,
+      "mean_token_accuracy": 0.20917081385850905,
+      "num_tokens": 12368195.0,
+      "step": 6785
+    },
+    {
+      "entropy": 5.241605234146118,
+      "epoch": 5.625517812758907,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002584619159254154,
+      "loss": 4.7124,
+      "mean_token_accuracy": 0.20834194272756576,
+      "num_tokens": 12377206.0,
+      "step": 6790
+    },
+    {
+      "entropy": 5.247827816009521,
+      "epoch": 5.629660314830158,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00025814324088868276,
+      "loss": 4.7593,
+      "mean_token_accuracy": 0.21013118624687194,
+      "num_tokens": 12386595.0,
+      "step": 6795
+    },
+    {
+      "entropy": 5.175970602035522,
+      "epoch": 5.633802816901408,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00025782459985387526,
+      "loss": 4.6569,
+      "mean_token_accuracy": 0.2180004358291626,
+      "num_tokens": 12395923.0,
+      "step": 6800
+    },
+    {
+      "entropy": 5.269517803192139,
+      "epoch": 5.637945318972659,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002575059934637268,
+      "loss": 4.7985,
+      "mean_token_accuracy": 0.20669761300086975,
+      "num_tokens": 12405094.0,
+      "step": 6805
+    },
+    {
+      "entropy": 5.268765878677368,
+      "epoch": 5.64208782104391,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002571874223609012,
+      "loss": 4.7972,
+      "mean_token_accuracy": 0.20435070544481276,
+      "num_tokens": 12414834.0,
+      "step": 6810
+    },
+    {
+      "entropy": 5.294848012924194,
+      "epoch": 5.646230323115161,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00025686888718799136,
+      "loss": 4.7513,
+      "mean_token_accuracy": 0.20469613671302794,
+      "num_tokens": 12423485.0,
+      "step": 6815
+    },
+    {
+      "entropy": 5.368587017059326,
+      "epoch": 5.6503728251864125,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002565503885875173,
+      "loss": 4.7935,
+      "mean_token_accuracy": 0.20704300552606583,
+      "num_tokens": 12432149.0,
+      "step": 6820
+    },
+    {
+      "entropy": 5.2622401237487795,
+      "epoch": 5.654515327257664,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00025623192720192564,
+      "loss": 4.7433,
+      "mean_token_accuracy": 0.2119109019637108,
+      "num_tokens": 12441272.0,
+      "step": 6825
+    },
+    {
+      "entropy": 5.190871524810791,
+      "epoch": 5.658657829328915,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002559135036735877,
+      "loss": 4.7388,
+      "mean_token_accuracy": 0.20155471414327622,
+      "num_tokens": 12449318.0,
+      "step": 6830
+    },
+    {
+      "entropy": 5.168833065032959,
+      "epoch": 5.662800331400166,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00025559511864479864,
+      "loss": 4.6898,
+      "mean_token_accuracy": 0.21231105625629426,
+      "num_tokens": 12458473.0,
+      "step": 6835
+    },
+    {
+      "entropy": 5.313192129135132,
+      "epoch": 5.666942833471417,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002552767727577758,
+      "loss": 4.8113,
+      "mean_token_accuracy": 0.20445662438869477,
+      "num_tokens": 12467703.0,
+      "step": 6840
+    },
+    {
+      "entropy": 5.292496681213379,
+      "epoch": 5.671085335542668,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00025495846665465774,
+      "loss": 4.6938,
+      "mean_token_accuracy": 0.21795116513967513,
+      "num_tokens": 12476166.0,
+      "step": 6845
+    },
+    {
+      "entropy": 5.235640621185302,
+      "epoch": 5.675227837613919,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002546402009775024,
+      "loss": 4.7403,
+      "mean_token_accuracy": 0.20330073386430741,
+      "num_tokens": 12484880.0,
+      "step": 6850
+    },
+    {
+      "entropy": 5.31177544593811,
+      "epoch": 5.679370339685169,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00025432197636828663,
+      "loss": 4.8103,
+      "mean_token_accuracy": 0.20381423085927963,
+      "num_tokens": 12494208.0,
+      "step": 6855
+    },
+    {
+      "entropy": 5.334811210632324,
+      "epoch": 5.683512841756421,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002540037934689042,
+      "loss": 4.8024,
+      "mean_token_accuracy": 0.20098040848970414,
+      "num_tokens": 12503647.0,
+      "step": 6860
+    },
+    {
+      "entropy": 5.295432138442993,
+      "epoch": 5.687655343827672,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00025368565292116475,
+      "loss": 4.8225,
+      "mean_token_accuracy": 0.20177613645792009,
+      "num_tokens": 12512869.0,
+      "step": 6865
+    },
+    {
+      "entropy": 5.28051609992981,
+      "epoch": 5.691797845898923,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002533675553667927,
+      "loss": 4.8747,
+      "mean_token_accuracy": 0.19059171974658967,
+      "num_tokens": 12523222.0,
+      "step": 6870
+    },
+    {
+      "entropy": 5.24097170829773,
+      "epoch": 5.695940347970174,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00025304950144742523,
+      "loss": 4.7456,
+      "mean_token_accuracy": 0.20784133225679396,
+      "num_tokens": 12532343.0,
+      "step": 6875
+    },
+    {
+      "entropy": 5.255422782897949,
+      "epoch": 5.700082850041425,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002527314918046122,
+      "loss": 4.7467,
+      "mean_token_accuracy": 0.21441746652126312,
+      "num_tokens": 12541508.0,
+      "step": 6880
+    },
+    {
+      "entropy": 5.222242641448974,
+      "epoch": 5.704225352112676,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0002524135270798136,
+      "loss": 4.7731,
+      "mean_token_accuracy": 0.20265263617038726,
+      "num_tokens": 12550837.0,
+      "step": 6885
+    },
+    {
+      "entropy": 5.259101152420044,
+      "epoch": 5.708367854183927,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00025209560791439914,
+      "loss": 4.7223,
+      "mean_token_accuracy": 0.21348682641983033,
+      "num_tokens": 12559859.0,
+      "step": 6890
+    },
+    {
+      "entropy": 5.279586315155029,
+      "epoch": 5.712510356255178,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002517777349496465,
+      "loss": 4.8096,
+      "mean_token_accuracy": 0.20708946287631988,
+      "num_tokens": 12569137.0,
+      "step": 6895
+    },
+    {
+      "entropy": 5.332545948028565,
+      "epoch": 5.716652858326429,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002514599088267401,
+      "loss": 4.8391,
+      "mean_token_accuracy": 0.20370080918073655,
+      "num_tokens": 12578111.0,
+      "step": 6900
+    },
+    {
+      "entropy": 5.30065131187439,
+      "epoch": 5.72079536039768,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00025114213018677004,
+      "loss": 4.7826,
+      "mean_token_accuracy": 0.21398544907569886,
+      "num_tokens": 12587604.0,
+      "step": 6905
+    },
+    {
+      "entropy": 5.328654146194458,
+      "epoch": 5.7249378624689315,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002508243996707305,
+      "loss": 4.7982,
+      "mean_token_accuracy": 0.2033779114484787,
+      "num_tokens": 12596620.0,
+      "step": 6910
+    },
+    {
+      "entropy": 5.252767944335938,
+      "epoch": 5.729080364540183,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00025050671791951887,
+      "loss": 4.7682,
+      "mean_token_accuracy": 0.20568756759166718,
+      "num_tokens": 12605452.0,
+      "step": 6915
+    },
+    {
+      "entropy": 5.195128536224365,
+      "epoch": 5.733222866611433,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002501890855739337,
+      "loss": 4.6654,
+      "mean_token_accuracy": 0.22127037048339843,
+      "num_tokens": 12614009.0,
+      "step": 6920
+    },
+    {
+      "entropy": 5.287421989440918,
+      "epoch": 5.737365368682684,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00024987150327467414,
+      "loss": 4.8201,
+      "mean_token_accuracy": 0.2010796323418617,
+      "num_tokens": 12624135.0,
+      "step": 6925
+    },
+    {
+      "entropy": 5.221401596069336,
+      "epoch": 5.741507870753935,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024955397166233855,
+      "loss": 4.6474,
+      "mean_token_accuracy": 0.22327282428741455,
+      "num_tokens": 12632870.0,
+      "step": 6930
+    },
+    {
+      "entropy": 5.304728364944458,
+      "epoch": 5.745650372825186,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024923649137742276,
+      "loss": 4.8549,
+      "mean_token_accuracy": 0.1950896918773651,
+      "num_tokens": 12643606.0,
+      "step": 6935
+    },
+    {
+      "entropy": 5.385456705093384,
+      "epoch": 5.749792874896437,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0002489190630603194,
+      "loss": 4.8834,
+      "mean_token_accuracy": 0.20502226054668427,
+      "num_tokens": 12652926.0,
+      "step": 6940
+    },
+    {
+      "entropy": 5.331468009948731,
+      "epoch": 5.753935376967688,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002486016873513159,
+      "loss": 4.8219,
+      "mean_token_accuracy": 0.20297979861497878,
+      "num_tokens": 12661841.0,
+      "step": 6945
+    },
+    {
+      "entropy": 5.257536315917969,
+      "epoch": 5.7580778790389395,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002482843648905937,
+      "loss": 4.7409,
+      "mean_token_accuracy": 0.2069641500711441,
+      "num_tokens": 12670527.0,
+      "step": 6950
+    },
+    {
+      "entropy": 5.216205167770386,
+      "epoch": 5.762220381110191,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002479670963182271,
+      "loss": 4.7365,
+      "mean_token_accuracy": 0.19854751229286194,
+      "num_tokens": 12680346.0,
+      "step": 6955
+    },
+    {
+      "entropy": 5.315979433059693,
+      "epoch": 5.766362883181442,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00024764988227418114,
+      "loss": 4.8273,
+      "mean_token_accuracy": 0.20946504771709443,
+      "num_tokens": 12691088.0,
+      "step": 6960
+    },
+    {
+      "entropy": 5.343829536437989,
+      "epoch": 5.770505385252693,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002473327233983116,
+      "loss": 4.7894,
+      "mean_token_accuracy": 0.20746862143278122,
+      "num_tokens": 12700296.0,
+      "step": 6965
+    },
+    {
+      "entropy": 5.241484355926514,
+      "epoch": 5.774647887323944,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002470156203303622,
+      "loss": 4.7882,
+      "mean_token_accuracy": 0.20888512581586838,
+      "num_tokens": 12709595.0,
+      "step": 6970
+    },
+    {
+      "entropy": 5.276812028884888,
+      "epoch": 5.778790389395195,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0002466985737099649,
+      "loss": 4.838,
+      "mean_token_accuracy": 0.20352406352758406,
+      "num_tokens": 12719052.0,
+      "step": 6975
+    },
+    {
+      "entropy": 5.237840700149536,
+      "epoch": 5.782932891466446,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002463815841766371,
+      "loss": 4.7033,
+      "mean_token_accuracy": 0.21847177892923356,
+      "num_tokens": 12727287.0,
+      "step": 6980
+    },
+    {
+      "entropy": 5.252689790725708,
+      "epoch": 5.787075393537696,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002460646523697813,
+      "loss": 4.7649,
+      "mean_token_accuracy": 0.2055829644203186,
+      "num_tokens": 12736511.0,
+      "step": 6985
+    },
+    {
+      "entropy": 5.295902395248413,
+      "epoch": 5.7912178956089475,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00024574777892868386,
+      "loss": 4.7758,
+      "mean_token_accuracy": 0.20809024274349214,
+      "num_tokens": 12745597.0,
+      "step": 6990
+    },
+    {
+      "entropy": 5.260382986068725,
+      "epoch": 5.795360397680199,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00024543096449251286,
+      "loss": 4.6362,
+      "mean_token_accuracy": 0.221256822347641,
+      "num_tokens": 12753492.0,
+      "step": 6995
+    },
+    {
+      "entropy": 5.3082959175109865,
+      "epoch": 5.79950289975145,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002451142097003177,
+      "loss": 4.7765,
+      "mean_token_accuracy": 0.21173641979694366,
+      "num_tokens": 12761999.0,
+      "step": 7000
+    },
+    {
+      "epoch": 5.79950289975145,
+      "eval_entropy": 5.159527343473455,
+      "eval_loss": 5.7473931312561035,
+      "eval_mean_token_accuracy": 0.1656088415525361,
+      "eval_num_tokens": 12761999.0,
+      "eval_runtime": 2.7553,
+      "eval_samples_per_second": 1359.941,
+      "eval_steps_per_second": 170.219,
+      "step": 7000
+    },
+    {
+      "entropy": 5.250266122817993,
+      "epoch": 5.803645401822701,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002447975151910276,
+      "loss": 4.6884,
+      "mean_token_accuracy": 0.20662099421024321,
+      "num_tokens": 12770922.0,
+      "step": 7005
+    },
+    {
+      "entropy": 5.225958204269409,
+      "epoch": 5.807787903893952,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00024448088160344974,
+      "loss": 4.72,
+      "mean_token_accuracy": 0.2077726110816002,
+      "num_tokens": 12779539.0,
+      "step": 7010
+    },
+    {
+      "entropy": 5.266984176635742,
+      "epoch": 5.811930405965203,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002441643095762688,
+      "loss": 4.7539,
+      "mean_token_accuracy": 0.20866499096155167,
+      "num_tokens": 12788121.0,
+      "step": 7015
+    },
+    {
+      "entropy": 5.206212854385376,
+      "epoch": 5.816072908036454,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000243847799748045,
+      "loss": 4.6301,
+      "mean_token_accuracy": 0.21100328713655472,
+      "num_tokens": 12797390.0,
+      "step": 7020
+    },
+    {
+      "entropy": 5.249676036834717,
+      "epoch": 5.820215410107705,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00024353135275721356,
+      "loss": 4.8644,
+      "mean_token_accuracy": 0.19687919616699218,
+      "num_tokens": 12807876.0,
+      "step": 7025
+    },
+    {
+      "entropy": 5.184282016754151,
+      "epoch": 5.824357912178956,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00024321496924208235,
+      "loss": 4.6805,
+      "mean_token_accuracy": 0.2075910523533821,
+      "num_tokens": 12816496.0,
+      "step": 7030
+    },
+    {
+      "entropy": 5.282375478744507,
+      "epoch": 5.8285004142502075,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00024289864984083166,
+      "loss": 4.7571,
+      "mean_token_accuracy": 0.21421819925308228,
+      "num_tokens": 12825925.0,
+      "step": 7035
+    },
+    {
+      "entropy": 5.330373096466064,
+      "epoch": 5.832642916321458,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002425823951915122,
+      "loss": 4.776,
+      "mean_token_accuracy": 0.20406203866004943,
+      "num_tokens": 12835479.0,
+      "step": 7040
+    },
+    {
+      "entropy": 5.227119112014771,
+      "epoch": 5.836785418392709,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002422662059320442,
+      "loss": 4.6764,
+      "mean_token_accuracy": 0.2194245144724846,
+      "num_tokens": 12844024.0,
+      "step": 7045
+    },
+    {
+      "entropy": 5.242313861846924,
+      "epoch": 5.84092792046396,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00024195008270021595,
+      "loss": 4.6767,
+      "mean_token_accuracy": 0.21089302152395248,
+      "num_tokens": 12852673.0,
+      "step": 7050
+    },
+    {
+      "entropy": 5.168107366561889,
+      "epoch": 5.845070422535211,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00024163402613368252,
+      "loss": 4.7042,
+      "mean_token_accuracy": 0.21519682556390762,
+      "num_tokens": 12861191.0,
+      "step": 7055
+    },
+    {
+      "entropy": 5.273849678039551,
+      "epoch": 5.849212924606462,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00024131803686996457,
+      "loss": 4.8483,
+      "mean_token_accuracy": 0.20502860397100447,
+      "num_tokens": 12870874.0,
+      "step": 7060
+    },
+    {
+      "entropy": 5.314899635314942,
+      "epoch": 5.853355426677713,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00024100211554644696,
+      "loss": 4.7741,
+      "mean_token_accuracy": 0.21026002764701843,
+      "num_tokens": 12879896.0,
+      "step": 7065
+    },
+    {
+      "entropy": 5.297897291183472,
+      "epoch": 5.857497928748964,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00024068626280037753,
+      "loss": 4.786,
+      "mean_token_accuracy": 0.20807335823774337,
+      "num_tokens": 12888665.0,
+      "step": 7070
+    },
+    {
+      "entropy": 5.261636590957641,
+      "epoch": 5.8616404308202155,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00024037047926886578,
+      "loss": 4.7416,
+      "mean_token_accuracy": 0.20277187824249268,
+      "num_tokens": 12897477.0,
+      "step": 7075
+    },
+    {
+      "entropy": 5.251101160049439,
+      "epoch": 5.865782932891467,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024005476558888172,
+      "loss": 4.794,
+      "mean_token_accuracy": 0.2007831260561943,
+      "num_tokens": 12905934.0,
+      "step": 7080
+    },
+    {
+      "entropy": 5.255609798431396,
+      "epoch": 5.869925434962718,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002397391223972541,
+      "loss": 4.7929,
+      "mean_token_accuracy": 0.20374300181865693,
+      "num_tokens": 12915092.0,
+      "step": 7085
+    },
+    {
+      "entropy": 5.2630064487457275,
+      "epoch": 5.874067937033969,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00023942355033066993,
+      "loss": 4.8721,
+      "mean_token_accuracy": 0.19899580031633377,
+      "num_tokens": 12924775.0,
+      "step": 7090
+    },
+    {
+      "entropy": 5.329388093948364,
+      "epoch": 5.87821043910522,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00023910805002567244,
+      "loss": 4.7789,
+      "mean_token_accuracy": 0.2048063576221466,
+      "num_tokens": 12933677.0,
+      "step": 7095
+    },
+    {
+      "entropy": 5.261180973052978,
+      "epoch": 5.882352941176471,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002387926221186603,
+      "loss": 4.8017,
+      "mean_token_accuracy": 0.2079474300146103,
+      "num_tokens": 12942416.0,
+      "step": 7100
+    },
+    {
+      "entropy": 5.231311798095703,
+      "epoch": 5.886495443247721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00023847726724588608,
+      "loss": 4.7718,
+      "mean_token_accuracy": 0.21066755801439285,
+      "num_tokens": 12952284.0,
+      "step": 7105
+    },
+    {
+      "entropy": 5.278716087341309,
+      "epoch": 5.890637945318972,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002381619860434549,
+      "loss": 4.8123,
+      "mean_token_accuracy": 0.19911128133535386,
+      "num_tokens": 12960694.0,
+      "step": 7110
+    },
+    {
+      "entropy": 5.215971040725708,
+      "epoch": 5.894780447390223,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00023784677914732356,
+      "loss": 4.727,
+      "mean_token_accuracy": 0.20931341648101806,
+      "num_tokens": 12969138.0,
+      "step": 7115
+    },
+    {
+      "entropy": 5.292342042922973,
+      "epoch": 5.8989229494614746,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00023753164719329868,
+      "loss": 4.766,
+      "mean_token_accuracy": 0.20421497970819474,
+      "num_tokens": 12978518.0,
+      "step": 7120
+    },
+    {
+      "entropy": 5.309631299972534,
+      "epoch": 5.903065451532726,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00023721659081703595,
+      "loss": 4.7856,
+      "mean_token_accuracy": 0.2164353221654892,
+      "num_tokens": 12987506.0,
+      "step": 7125
+    },
+    {
+      "entropy": 5.2704308986663815,
+      "epoch": 5.907207953603977,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023690161065403838,
+      "loss": 4.7667,
+      "mean_token_accuracy": 0.20384967178106309,
+      "num_tokens": 12996259.0,
+      "step": 7130
+    },
+    {
+      "entropy": 5.284243488311768,
+      "epoch": 5.911350455675228,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002365867073396555,
+      "loss": 4.7914,
+      "mean_token_accuracy": 0.20621232688426971,
+      "num_tokens": 13005430.0,
+      "step": 7135
+    },
+    {
+      "entropy": 5.2192955493927,
+      "epoch": 5.915492957746479,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023627188150908174,
+      "loss": 4.7414,
+      "mean_token_accuracy": 0.21523537784814833,
+      "num_tokens": 13014915.0,
+      "step": 7140
+    },
+    {
+      "entropy": 5.267714023590088,
+      "epoch": 5.91963545981773,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00023595713379735494,
+      "loss": 4.7483,
+      "mean_token_accuracy": 0.20747244358062744,
+      "num_tokens": 13023471.0,
+      "step": 7145
+    },
+    {
+      "entropy": 5.29262957572937,
+      "epoch": 5.923777961888981,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00023564246483935602,
+      "loss": 4.7364,
+      "mean_token_accuracy": 0.20276205390691757,
+      "num_tokens": 13033270.0,
+      "step": 7150
+    },
+    {
+      "entropy": 5.26424388885498,
+      "epoch": 5.927920463960232,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002353278752698063,
+      "loss": 4.7029,
+      "mean_token_accuracy": 0.2120548114180565,
+      "num_tokens": 13043300.0,
+      "step": 7155
+    },
+    {
+      "entropy": 5.261445045471191,
+      "epoch": 5.9320629660314825,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002350133657232676,
+      "loss": 4.7627,
+      "mean_token_accuracy": 0.20174376368522645,
+      "num_tokens": 13052152.0,
+      "step": 7160
+    },
+    {
+      "entropy": 5.286171960830688,
+      "epoch": 5.9362054681027345,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002346989368341399,
+      "loss": 4.8033,
+      "mean_token_accuracy": 0.20869386494159697,
+      "num_tokens": 13061704.0,
+      "step": 7165
+    },
+    {
+      "entropy": 5.280704736709595,
+      "epoch": 5.940347970173985,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023438458923666057,
+      "loss": 4.7209,
+      "mean_token_accuracy": 0.2152332365512848,
+      "num_tokens": 13071055.0,
+      "step": 7170
+    },
+    {
+      "entropy": 5.268754768371582,
+      "epoch": 5.944490472245236,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002340703235649032,
+      "loss": 4.8331,
+      "mean_token_accuracy": 0.1926100879907608,
+      "num_tokens": 13080023.0,
+      "step": 7175
+    },
+    {
+      "entropy": 5.263068819046021,
+      "epoch": 5.948632974316487,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00023375614045277593,
+      "loss": 4.7536,
+      "mean_token_accuracy": 0.20691772699356079,
+      "num_tokens": 13088690.0,
+      "step": 7180
+    },
+    {
+      "entropy": 5.232177972793579,
+      "epoch": 5.952775476387738,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00023344204053402047,
+      "loss": 4.7377,
+      "mean_token_accuracy": 0.21229761391878127,
+      "num_tokens": 13097116.0,
+      "step": 7185
+    },
+    {
+      "entropy": 5.343814706802368,
+      "epoch": 5.956917978458989,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00023312802444221066,
+      "loss": 4.7995,
+      "mean_token_accuracy": 0.20769918113946914,
+      "num_tokens": 13106463.0,
+      "step": 7190
+    },
+    {
+      "entropy": 5.273978662490845,
+      "epoch": 5.96106048053024,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002328140928107511,
+      "loss": 4.7045,
+      "mean_token_accuracy": 0.21413260698318481,
+      "num_tokens": 13115769.0,
+      "step": 7195
+    },
+    {
+      "entropy": 5.293670988082885,
+      "epoch": 5.965202982601491,
+      "grad_norm": 1.6875,
+      "learning_rate": 0.0002325002462728766,
+      "loss": 4.8058,
+      "mean_token_accuracy": 0.20858496129512788,
+      "num_tokens": 13124928.0,
+      "step": 7200
+    },
+    {
+      "entropy": 5.264481544494629,
+      "epoch": 5.9693454846727425,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00023218648546164945,
+      "loss": 4.7587,
+      "mean_token_accuracy": 0.20816877782344817,
+      "num_tokens": 13134106.0,
+      "step": 7205
+    },
+    {
+      "entropy": 5.401337671279907,
+      "epoch": 5.973487986743994,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002318728110099599,
+      "loss": 4.9463,
+      "mean_token_accuracy": 0.19887659698724747,
+      "num_tokens": 13143019.0,
+      "step": 7210
+    },
+    {
+      "entropy": 5.267350912094116,
+      "epoch": 5.977630488815245,
+      "grad_norm": 1.625,
+      "learning_rate": 0.00023155922355052339,
+      "loss": 4.6633,
+      "mean_token_accuracy": 0.223431359231472,
+      "num_tokens": 13152675.0,
+      "step": 7215
+    },
+    {
+      "entropy": 5.256755113601685,
+      "epoch": 5.981772990886496,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00023124572371588,
+      "loss": 4.6968,
+      "mean_token_accuracy": 0.2141074687242508,
+      "num_tokens": 13161094.0,
+      "step": 7220
+    },
+    {
+      "entropy": 5.22665810585022,
+      "epoch": 5.985915492957746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00023093231213839344,
+      "loss": 4.7801,
+      "mean_token_accuracy": 0.2072029694914818,
+      "num_tokens": 13170858.0,
+      "step": 7225
+    },
+    {
+      "entropy": 5.248539400100708,
+      "epoch": 5.990057995028997,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002306189894502488,
+      "loss": 4.8402,
+      "mean_token_accuracy": 0.1976972222328186,
+      "num_tokens": 13179668.0,
+      "step": 7230
+    },
+    {
+      "entropy": 5.278863763809204,
+      "epoch": 5.994200497100248,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00023030575628345246,
+      "loss": 4.7021,
+      "mean_token_accuracy": 0.2132765233516693,
+      "num_tokens": 13188312.0,
+      "step": 7235
+    },
+    {
+      "entropy": 5.254744529724121,
+      "epoch": 5.998342999171499,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022999261326982985,
+      "loss": 4.7474,
+      "mean_token_accuracy": 0.20551027208566666,
+      "num_tokens": 13196989.0,
+      "step": 7240
+    },
+    {
+      "entropy": 5.215828323364258,
+      "epoch": 6.0024855012427505,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00022967956104102445,
+      "loss": 4.6371,
+      "mean_token_accuracy": 0.21983437091112137,
+      "num_tokens": 13205830.0,
+      "step": 7245
+    },
+    {
+      "entropy": 5.325025272369385,
+      "epoch": 6.006628003314002,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00022936660022849714,
+      "loss": 4.5948,
+      "mean_token_accuracy": 0.22821232080459594,
+      "num_tokens": 13214711.0,
+      "step": 7250
+    },
+    {
+      "entropy": 5.262428140640258,
+      "epoch": 6.010770505385253,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022905373146352382,
+      "loss": 4.6602,
+      "mean_token_accuracy": 0.21241429150104524,
+      "num_tokens": 13223736.0,
+      "step": 7255
+    },
+    {
+      "entropy": 5.257147979736328,
+      "epoch": 6.014913007456504,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002287409553771952,
+      "loss": 4.556,
+      "mean_token_accuracy": 0.22737590819597245,
+      "num_tokens": 13232666.0,
+      "step": 7260
+    },
+    {
+      "entropy": 5.291457891464233,
+      "epoch": 6.019055509527755,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00022842827260041455,
+      "loss": 4.5848,
+      "mean_token_accuracy": 0.21761821508407592,
+      "num_tokens": 13241770.0,
+      "step": 7265
+    },
+    {
+      "entropy": 5.261249971389771,
+      "epoch": 6.023198011599006,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00022811568376389745,
+      "loss": 4.5326,
+      "mean_token_accuracy": 0.22425681203603745,
+      "num_tokens": 13250475.0,
+      "step": 7270
+    },
+    {
+      "entropy": 5.233007001876831,
+      "epoch": 6.027340513670257,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00022780318949816963,
+      "loss": 4.5183,
+      "mean_token_accuracy": 0.22254440933465958,
+      "num_tokens": 13259587.0,
+      "step": 7275
+    },
+    {
+      "entropy": 5.216541528701782,
+      "epoch": 6.031483015741508,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00022749079043356623,
+      "loss": 4.5404,
+      "mean_token_accuracy": 0.23734405487775803,
+      "num_tokens": 13269681.0,
+      "step": 7280
+    },
+    {
+      "entropy": 5.211581516265869,
+      "epoch": 6.0356255178127585,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00022717848720023022,
+      "loss": 4.5539,
+      "mean_token_accuracy": 0.2277751386165619,
+      "num_tokens": 13278186.0,
+      "step": 7285
+    },
+    {
+      "entropy": 5.25051851272583,
+      "epoch": 6.03976801988401,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022686628042811142,
+      "loss": 4.6462,
+      "mean_token_accuracy": 0.21404165476560594,
+      "num_tokens": 13287194.0,
+      "step": 7290
+    },
+    {
+      "entropy": 5.334251356124878,
+      "epoch": 6.043910521955261,
+      "grad_norm": 1.375,
+      "learning_rate": 0.000226554170746965,
+      "loss": 4.6707,
+      "mean_token_accuracy": 0.21294027268886567,
+      "num_tokens": 13296774.0,
+      "step": 7295
+    },
+    {
+      "entropy": 5.338882112503052,
+      "epoch": 6.048053024026512,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00022624215878635023,
+      "loss": 4.5887,
+      "mean_token_accuracy": 0.21931985318660735,
+      "num_tokens": 13306368.0,
+      "step": 7300
+    },
+    {
+      "entropy": 5.310757160186768,
+      "epoch": 6.052195526097763,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00022593024517562945,
+      "loss": 4.5551,
+      "mean_token_accuracy": 0.22974174320697785,
+      "num_tokens": 13315393.0,
+      "step": 7305
+    },
+    {
+      "entropy": 5.216650152206421,
+      "epoch": 6.056338028169014,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022561843054396636,
+      "loss": 4.5496,
+      "mean_token_accuracy": 0.22554152607917785,
+      "num_tokens": 13324384.0,
+      "step": 7310
+    },
+    {
+      "entropy": 5.265720653533935,
+      "epoch": 6.060480530240265,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00022530671552032521,
+      "loss": 4.6095,
+      "mean_token_accuracy": 0.2231447860598564,
+      "num_tokens": 13333191.0,
+      "step": 7315
+    },
+    {
+      "entropy": 5.269006586074829,
+      "epoch": 6.064623032311516,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002249951007334693,
+      "loss": 4.6016,
+      "mean_token_accuracy": 0.21682012677192689,
+      "num_tokens": 13342911.0,
+      "step": 7320
+    },
+    {
+      "entropy": 5.313802003860474,
+      "epoch": 6.068765534382767,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00022468358681195966,
+      "loss": 4.5911,
+      "mean_token_accuracy": 0.2220294862985611,
+      "num_tokens": 13352464.0,
+      "step": 7325
+    },
+    {
+      "entropy": 5.279155349731445,
+      "epoch": 6.072908036454018,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00022437217438415393,
+      "loss": 4.5871,
+      "mean_token_accuracy": 0.22435862571001053,
+      "num_tokens": 13361812.0,
+      "step": 7330
+    },
+    {
+      "entropy": 5.328032398223877,
+      "epoch": 6.0770505385252696,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00022406086407820503,
+      "loss": 4.6541,
+      "mean_token_accuracy": 0.21680645495653153,
+      "num_tokens": 13372080.0,
+      "step": 7335
+    },
+    {
+      "entropy": 5.283897733688354,
+      "epoch": 6.081193040596521,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022374965652205975,
+      "loss": 4.6976,
+      "mean_token_accuracy": 0.20982298403978347,
+      "num_tokens": 13380897.0,
+      "step": 7340
+    },
+    {
+      "entropy": 5.338993167877197,
+      "epoch": 6.085335542667772,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022343855234345796,
+      "loss": 4.6891,
+      "mean_token_accuracy": 0.21388355493545533,
+      "num_tokens": 13389885.0,
+      "step": 7345
+    },
+    {
+      "entropy": 5.288727903366089,
+      "epoch": 6.089478044739022,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00022312755216993065,
+      "loss": 4.6211,
+      "mean_token_accuracy": 0.21839348524808883,
+      "num_tokens": 13399734.0,
+      "step": 7350
+    },
+    {
+      "entropy": 5.224732303619385,
+      "epoch": 6.093620546810273,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00022281665662879903,
+      "loss": 4.5653,
+      "mean_token_accuracy": 0.22080505937337874,
+      "num_tokens": 13408641.0,
+      "step": 7355
+    },
+    {
+      "entropy": 5.2608020305633545,
+      "epoch": 6.097763048881524,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00022250586634717362,
+      "loss": 4.6026,
+      "mean_token_accuracy": 0.21388103663921357,
+      "num_tokens": 13418585.0,
+      "step": 7360
+    },
+    {
+      "entropy": 5.244136095046997,
+      "epoch": 6.101905550952775,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00022219518195195216,
+      "loss": 4.5367,
+      "mean_token_accuracy": 0.22432616204023362,
+      "num_tokens": 13427897.0,
+      "step": 7365
+    },
+    {
+      "entropy": 5.131761312484741,
+      "epoch": 6.106048053024026,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00022188460406981925,
+      "loss": 4.4993,
+      "mean_token_accuracy": 0.22558098286390305,
+      "num_tokens": 13437311.0,
+      "step": 7370
+    },
+    {
+      "entropy": 5.284880685806274,
+      "epoch": 6.1101905550952775,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00022157413332724436,
+      "loss": 4.5608,
+      "mean_token_accuracy": 0.22710221409797668,
+      "num_tokens": 13446359.0,
+      "step": 7375
+    },
+    {
+      "entropy": 5.326997709274292,
+      "epoch": 6.114333057166529,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00022126377035048072,
+      "loss": 4.6056,
+      "mean_token_accuracy": 0.22011455297470092,
+      "num_tokens": 13455302.0,
+      "step": 7380
+    },
+    {
+      "entropy": 5.365768575668335,
+      "epoch": 6.11847555923778,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0002209535157655646,
+      "loss": 4.6937,
+      "mean_token_accuracy": 0.21688085198402404,
+      "num_tokens": 13466391.0,
+      "step": 7385
+    },
+    {
+      "entropy": 5.246037006378174,
+      "epoch": 6.122618061309031,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00022064337019831322,
+      "loss": 4.547,
+      "mean_token_accuracy": 0.22545033246278762,
+      "num_tokens": 13476130.0,
+      "step": 7390
+    },
+    {
+      "entropy": 5.183640670776367,
+      "epoch": 6.126760563380282,
+      "grad_norm": 1.6171875,
+      "learning_rate": 0.00022033333427432422,
+      "loss": 4.5326,
+      "mean_token_accuracy": 0.22769198417663575,
+      "num_tokens": 13485105.0,
+      "step": 7395
+    },
+    {
+      "entropy": 5.284799098968506,
+      "epoch": 6.130903065451533,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002200234086189738,
+      "loss": 4.5988,
+      "mean_token_accuracy": 0.21623703986406326,
+      "num_tokens": 13494914.0,
+      "step": 7400
+    },
+    {
+      "entropy": 5.291166830062866,
+      "epoch": 6.135045567522784,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00021971359385741608,
+      "loss": 4.6312,
+      "mean_token_accuracy": 0.21725507229566574,
+      "num_tokens": 13504293.0,
+      "step": 7405
+    },
+    {
+      "entropy": 5.350364637374878,
+      "epoch": 6.139188069594034,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00021940389061458115,
+      "loss": 4.6935,
+      "mean_token_accuracy": 0.22431259900331496,
+      "num_tokens": 13513972.0,
+      "step": 7410
+    },
+    {
+      "entropy": 5.278038835525512,
+      "epoch": 6.1433305716652855,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002190942995151743,
+      "loss": 4.6089,
+      "mean_token_accuracy": 0.2185722753405571,
+      "num_tokens": 13522508.0,
+      "step": 7415
+    },
+    {
+      "entropy": 5.296834516525268,
+      "epoch": 6.147473073736537,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0002187848211836746,
+      "loss": 4.53,
+      "mean_token_accuracy": 0.22915603816509247,
+      "num_tokens": 13531235.0,
+      "step": 7420
+    },
+    {
+      "entropy": 5.256722116470337,
+      "epoch": 6.151615575807788,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002184754562443337,
+      "loss": 4.5707,
+      "mean_token_accuracy": 0.22529171109199525,
+      "num_tokens": 13541023.0,
+      "step": 7425
+    },
+    {
+      "entropy": 5.217341756820678,
+      "epoch": 6.155758077879039,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00021816620532117448,
+      "loss": 4.5852,
+      "mean_token_accuracy": 0.2248647004365921,
+      "num_tokens": 13550622.0,
+      "step": 7430
+    },
+    {
+      "entropy": 5.230591440200806,
+      "epoch": 6.15990057995029,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002178570690379899,
+      "loss": 4.6031,
+      "mean_token_accuracy": 0.21641309708356857,
+      "num_tokens": 13559423.0,
+      "step": 7435
+    },
+    {
+      "entropy": 5.235513544082641,
+      "epoch": 6.164043082021541,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00021754804801834144,
+      "loss": 4.5917,
+      "mean_token_accuracy": 0.21699417978525162,
+      "num_tokens": 13569306.0,
+      "step": 7440
+    },
+    {
+      "entropy": 5.228752660751343,
+      "epoch": 6.168185584092792,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0002172391428855585,
+      "loss": 4.5366,
+      "mean_token_accuracy": 0.22735673934221268,
+      "num_tokens": 13578367.0,
+      "step": 7445
+    },
+    {
+      "entropy": 5.265543508529663,
+      "epoch": 6.172328086164043,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00021693035426273633,
+      "loss": 4.5986,
+      "mean_token_accuracy": 0.21967096477746964,
+      "num_tokens": 13586930.0,
+      "step": 7450
+    },
+    {
+      "entropy": 5.246473407745361,
+      "epoch": 6.176470588235294,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.00021662168277273547,
+      "loss": 4.5681,
+      "mean_token_accuracy": 0.22939085811376572,
+      "num_tokens": 13595891.0,
+      "step": 7455
+    },
+    {
+      "entropy": 5.319870328903198,
+      "epoch": 6.1806130903065455,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002163131290381799,
+      "loss": 4.6599,
+      "mean_token_accuracy": 0.20967274755239487,
+      "num_tokens": 13605786.0,
+      "step": 7460
+    },
+    {
+      "entropy": 5.238808870315552,
+      "epoch": 6.184755592377797,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00021600469368145624,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.2280669927597046,
+      "num_tokens": 13614561.0,
+      "step": 7465
+    },
+    {
+      "entropy": 5.226732301712036,
+      "epoch": 6.188898094449047,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002156963773247124,
+      "loss": 4.5554,
+      "mean_token_accuracy": 0.22617974877357483,
+      "num_tokens": 13622853.0,
+      "step": 7470
+    },
+    {
+      "entropy": 5.20526967048645,
+      "epoch": 6.193040596520298,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002153881805898561,
+      "loss": 4.5398,
+      "mean_token_accuracy": 0.22647101283073426,
+      "num_tokens": 13631709.0,
+      "step": 7475
+    },
+    {
+      "entropy": 5.293169021606445,
+      "epoch": 6.197183098591549,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.0002150801040985539,
+      "loss": 4.63,
+      "mean_token_accuracy": 0.21966254264116286,
+      "num_tokens": 13640854.0,
+      "step": 7480
+    },
+    {
+      "entropy": 5.218788433074951,
+      "epoch": 6.2013256006628,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00021477214847222958,
+      "loss": 4.5758,
+      "mean_token_accuracy": 0.21710532903671265,
+      "num_tokens": 13649318.0,
+      "step": 7485
+    },
+    {
+      "entropy": 5.315838146209717,
+      "epoch": 6.205468102734051,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00021446431433206348,
+      "loss": 4.6349,
+      "mean_token_accuracy": 0.22002605497837066,
+      "num_tokens": 13658738.0,
+      "step": 7490
+    },
+    {
+      "entropy": 5.187892484664917,
+      "epoch": 6.209610604805302,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002141566022989907,
+      "loss": 4.5484,
+      "mean_token_accuracy": 0.2262681856751442,
+      "num_tokens": 13667315.0,
+      "step": 7495
+    },
+    {
+      "entropy": 5.282585573196411,
+      "epoch": 6.2137531068765535,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002138490129936998,
+      "loss": 4.6721,
+      "mean_token_accuracy": 0.21348128467798233,
+      "num_tokens": 13676665.0,
+      "step": 7500
+    },
+    {
+      "epoch": 6.2137531068765535,
+      "eval_entropy": 5.127327098521088,
+      "eval_loss": 5.749592304229736,
+      "eval_mean_token_accuracy": 0.16626126474853772,
+      "eval_num_tokens": 13676665.0,
+      "eval_runtime": 2.7442,
+      "eval_samples_per_second": 1365.431,
+      "eval_steps_per_second": 170.907,
+      "step": 7500
+    },
+    {
+      "entropy": 5.220932197570801,
+      "epoch": 6.217895608947805,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0002135415470366323,
+      "loss": 4.6065,
+      "mean_token_accuracy": 0.21874047368764876,
+      "num_tokens": 13685774.0,
+      "step": 7505
+    },
+    {
+      "entropy": 5.261872863769531,
+      "epoch": 6.222038111019056,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00021323420504798047,
+      "loss": 4.6324,
+      "mean_token_accuracy": 0.21970156878232955,
+      "num_tokens": 13695700.0,
+      "step": 7510
+    },
+    {
+      "entropy": 5.301397752761841,
+      "epoch": 6.226180613090307,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021292698764768675,
+      "loss": 4.6432,
+      "mean_token_accuracy": 0.21851994693279267,
+      "num_tokens": 13704675.0,
+      "step": 7515
+    },
+    {
+      "entropy": 5.2542356014251705,
+      "epoch": 6.230323115161558,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00021261989545544218,
+      "loss": 4.6623,
+      "mean_token_accuracy": 0.22553315609693528,
+      "num_tokens": 13714562.0,
+      "step": 7520
+    },
+    {
+      "entropy": 5.318307209014892,
+      "epoch": 6.234465617232809,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00021231292909068534,
+      "loss": 4.6448,
+      "mean_token_accuracy": 0.22140212655067443,
+      "num_tokens": 13723917.0,
+      "step": 7525
+    },
+    {
+      "entropy": 5.254926586151123,
+      "epoch": 6.238608119304059,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00021200608917260082,
+      "loss": 4.5832,
+      "mean_token_accuracy": 0.22523251920938492,
+      "num_tokens": 13732482.0,
+      "step": 7530
+    },
+    {
+      "entropy": 5.272995328903198,
+      "epoch": 6.24275062137531,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00021169937632011838,
+      "loss": 4.6548,
+      "mean_token_accuracy": 0.2194363296031952,
+      "num_tokens": 13742110.0,
+      "step": 7535
+    },
+    {
+      "entropy": 5.238206005096435,
+      "epoch": 6.2468931234465614,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00021139279115191123,
+      "loss": 4.574,
+      "mean_token_accuracy": 0.21389349400997162,
+      "num_tokens": 13750501.0,
+      "step": 7540
+    },
+    {
+      "entropy": 5.236702632904053,
+      "epoch": 6.2510356255178126,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00021108633428639534,
+      "loss": 4.545,
+      "mean_token_accuracy": 0.22685909420251846,
+      "num_tokens": 13759786.0,
+      "step": 7545
+    },
+    {
+      "entropy": 5.279770469665527,
+      "epoch": 6.255178127589064,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002107800063417275,
+      "loss": 4.6241,
+      "mean_token_accuracy": 0.21795655339956282,
+      "num_tokens": 13768476.0,
+      "step": 7550
+    },
+    {
+      "entropy": 5.29005618095398,
+      "epoch": 6.259320629660315,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002104738079358048,
+      "loss": 4.6586,
+      "mean_token_accuracy": 0.20849181562662125,
+      "num_tokens": 13778721.0,
+      "step": 7555
+    },
+    {
+      "entropy": 5.281201648712158,
+      "epoch": 6.263463131731566,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002101677396862628,
+      "loss": 4.6196,
+      "mean_token_accuracy": 0.22399465888738632,
+      "num_tokens": 13787108.0,
+      "step": 7560
+    },
+    {
+      "entropy": 5.1881067752838135,
+      "epoch": 6.267605633802817,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00020986180221047463,
+      "loss": 4.5398,
+      "mean_token_accuracy": 0.23230253010988236,
+      "num_tokens": 13795021.0,
+      "step": 7565
+    },
+    {
+      "entropy": 5.190041732788086,
+      "epoch": 6.271748135874068,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00020955599612554966,
+      "loss": 4.5887,
+      "mean_token_accuracy": 0.2193624496459961,
+      "num_tokens": 13804750.0,
+      "step": 7570
+    },
+    {
+      "entropy": 5.2463373184204105,
+      "epoch": 6.275890637945319,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00020925032204833206,
+      "loss": 4.5784,
+      "mean_token_accuracy": 0.22109659761190414,
+      "num_tokens": 13813910.0,
+      "step": 7575
+    },
+    {
+      "entropy": 5.329188394546509,
+      "epoch": 6.28003314001657,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00020894478059539995,
+      "loss": 4.5427,
+      "mean_token_accuracy": 0.2241484045982361,
+      "num_tokens": 13822832.0,
+      "step": 7580
+    },
+    {
+      "entropy": 5.204854440689087,
+      "epoch": 6.284175642087821,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00020863937238306375,
+      "loss": 4.5541,
+      "mean_token_accuracy": 0.2280479699373245,
+      "num_tokens": 13831951.0,
+      "step": 7585
+    },
+    {
+      "entropy": 5.172011041641236,
+      "epoch": 6.2883181441590725,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00020833409802736535,
+      "loss": 4.524,
+      "mean_token_accuracy": 0.23316972702741623,
+      "num_tokens": 13840422.0,
+      "step": 7590
+    },
+    {
+      "entropy": 5.306167030334473,
+      "epoch": 6.292460646230323,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00020802895814407636,
+      "loss": 4.6365,
+      "mean_token_accuracy": 0.22030848115682602,
+      "num_tokens": 13850903.0,
+      "step": 7595
+    },
+    {
+      "entropy": 5.244341468811035,
+      "epoch": 6.296603148301574,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002077239533486972,
+      "loss": 4.6811,
+      "mean_token_accuracy": 0.20490736216306688,
+      "num_tokens": 13859972.0,
+      "step": 7600
+    },
+    {
+      "entropy": 5.235301160812378,
+      "epoch": 6.300745650372825,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00020741908425645606,
+      "loss": 4.658,
+      "mean_token_accuracy": 0.21515794545412065,
+      "num_tokens": 13868980.0,
+      "step": 7605
+    },
+    {
+      "entropy": 5.259301996231079,
+      "epoch": 6.304888152444076,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00020711435148230707,
+      "loss": 4.5874,
+      "mean_token_accuracy": 0.21832506507635116,
+      "num_tokens": 13877901.0,
+      "step": 7610
+    },
+    {
+      "entropy": 5.245576858520508,
+      "epoch": 6.309030654515327,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00020680975564092968,
+      "loss": 4.5697,
+      "mean_token_accuracy": 0.21962837278842925,
+      "num_tokens": 13887081.0,
+      "step": 7615
+    },
+    {
+      "entropy": 5.283494472503662,
+      "epoch": 6.313173156586578,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00020650529734672686,
+      "loss": 4.693,
+      "mean_token_accuracy": 0.21509333699941635,
+      "num_tokens": 13896645.0,
+      "step": 7620
+    },
+    {
+      "entropy": 5.340816831588745,
+      "epoch": 6.317315658657829,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00020620097721382424,
+      "loss": 4.6349,
+      "mean_token_accuracy": 0.21796356588602067,
+      "num_tokens": 13905975.0,
+      "step": 7625
+    },
+    {
+      "entropy": 5.3276678085327145,
+      "epoch": 6.3214581607290805,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0002058967958560689,
+      "loss": 4.6067,
+      "mean_token_accuracy": 0.22121513932943343,
+      "num_tokens": 13914605.0,
+      "step": 7630
+    },
+    {
+      "entropy": 5.256007862091065,
+      "epoch": 6.325600662800332,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00020559275388702775,
+      "loss": 4.5442,
+      "mean_token_accuracy": 0.23139581084251404,
+      "num_tokens": 13924592.0,
+      "step": 7635
+    },
+    {
+      "entropy": 5.187183284759522,
+      "epoch": 6.329743164871583,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00020528885191998682,
+      "loss": 4.5649,
+      "mean_token_accuracy": 0.22332944571971894,
+      "num_tokens": 13933513.0,
+      "step": 7640
+    },
+    {
+      "entropy": 5.1399694919586185,
+      "epoch": 6.333885666942834,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00020498509056794952,
+      "loss": 4.4652,
+      "mean_token_accuracy": 0.23895961940288543,
+      "num_tokens": 13942173.0,
+      "step": 7645
+    },
+    {
+      "entropy": 5.177120351791382,
+      "epoch": 6.338028169014084,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00020468147044363556,
+      "loss": 4.4955,
+      "mean_token_accuracy": 0.22771447747945786,
+      "num_tokens": 13950205.0,
+      "step": 7650
+    },
+    {
+      "entropy": 5.22398190498352,
+      "epoch": 6.342170671085335,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00020437799215948017,
+      "loss": 4.5753,
+      "mean_token_accuracy": 0.22749822586774826,
+      "num_tokens": 13958956.0,
+      "step": 7655
+    },
+    {
+      "entropy": 5.209628582000732,
+      "epoch": 6.346313173156586,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002040746563276319,
+      "loss": 4.5665,
+      "mean_token_accuracy": 0.22033885568380357,
+      "num_tokens": 13967718.0,
+      "step": 7660
+    },
+    {
+      "entropy": 5.235432434082031,
+      "epoch": 6.350455675227837,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00020377146355995257,
+      "loss": 4.6617,
+      "mean_token_accuracy": 0.21480744183063508,
+      "num_tokens": 13976841.0,
+      "step": 7665
+    },
+    {
+      "entropy": 5.287872982025147,
+      "epoch": 6.3545981772990885,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00020346841446801495,
+      "loss": 4.5404,
+      "mean_token_accuracy": 0.22639259397983552,
+      "num_tokens": 13984946.0,
+      "step": 7670
+    },
+    {
+      "entropy": 5.257662773132324,
+      "epoch": 6.35874067937034,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00020316550966310222,
+      "loss": 4.6067,
+      "mean_token_accuracy": 0.21685410737991334,
+      "num_tokens": 13993521.0,
+      "step": 7675
+    },
+    {
+      "entropy": 5.183994293212891,
+      "epoch": 6.362883181441591,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002028627497562065,
+      "loss": 4.5771,
+      "mean_token_accuracy": 0.2181665539741516,
+      "num_tokens": 14002777.0,
+      "step": 7680
+    },
+    {
+      "entropy": 5.246474266052246,
+      "epoch": 6.367025683512842,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00020256013535802748,
+      "loss": 4.6261,
+      "mean_token_accuracy": 0.21209287494421006,
+      "num_tokens": 14012708.0,
+      "step": 7685
+    },
+    {
+      "entropy": 5.28727445602417,
+      "epoch": 6.371168185584093,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002022576670789717,
+      "loss": 4.6394,
+      "mean_token_accuracy": 0.2155505269765854,
+      "num_tokens": 14021088.0,
+      "step": 7690
+    },
+    {
+      "entropy": 5.280440044403076,
+      "epoch": 6.375310687655344,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002019553455291505,
+      "loss": 4.6378,
+      "mean_token_accuracy": 0.21615593284368514,
+      "num_tokens": 14031650.0,
+      "step": 7695
+    },
+    {
+      "entropy": 5.240458631515503,
+      "epoch": 6.379453189726595,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002016531713183797,
+      "loss": 4.6676,
+      "mean_token_accuracy": 0.21988083124160768,
+      "num_tokens": 14040741.0,
+      "step": 7700
+    },
+    {
+      "entropy": 5.242792797088623,
+      "epoch": 6.383595691797846,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00020135114505617752,
+      "loss": 4.6373,
+      "mean_token_accuracy": 0.2093031659722328,
+      "num_tokens": 14049913.0,
+      "step": 7705
+    },
+    {
+      "entropy": 5.277075576782226,
+      "epoch": 6.387738193869097,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00020104926735176393,
+      "loss": 4.5918,
+      "mean_token_accuracy": 0.22735825777053834,
+      "num_tokens": 14059583.0,
+      "step": 7710
+    },
+    {
+      "entropy": 5.327569150924683,
+      "epoch": 6.391880695940348,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00020074753881405949,
+      "loss": 4.5526,
+      "mean_token_accuracy": 0.22584011256694794,
+      "num_tokens": 14067376.0,
+      "step": 7715
+    },
+    {
+      "entropy": 5.247530269622803,
+      "epoch": 6.396023198011599,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002004459600516833,
+      "loss": 4.6272,
+      "mean_token_accuracy": 0.22265007048845292,
+      "num_tokens": 14076415.0,
+      "step": 7720
+    },
+    {
+      "entropy": 5.252097845077515,
+      "epoch": 6.40016570008285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00020014453167295298,
+      "loss": 4.6191,
+      "mean_token_accuracy": 0.21771289706230162,
+      "num_tokens": 14085418.0,
+      "step": 7725
+    },
+    {
+      "entropy": 5.246077394485473,
+      "epoch": 6.404308202154101,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00019984325428588229,
+      "loss": 4.6022,
+      "mean_token_accuracy": 0.22459561228752137,
+      "num_tokens": 14094454.0,
+      "step": 7730
+    },
+    {
+      "entropy": 5.269437408447265,
+      "epoch": 6.408450704225352,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00019954212849818077,
+      "loss": 4.5397,
+      "mean_token_accuracy": 0.23432922810316087,
+      "num_tokens": 14103611.0,
+      "step": 7735
+    },
+    {
+      "entropy": 5.17622013092041,
+      "epoch": 6.412593206296603,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00019924115491725197,
+      "loss": 4.4661,
+      "mean_token_accuracy": 0.23387826085090638,
+      "num_tokens": 14112145.0,
+      "step": 7740
+    },
+    {
+      "entropy": 5.237372732162475,
+      "epoch": 6.416735708367854,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019894033415019253,
+      "loss": 4.6056,
+      "mean_token_accuracy": 0.2221802607178688,
+      "num_tokens": 14121215.0,
+      "step": 7745
+    },
+    {
+      "entropy": 5.171102142333984,
+      "epoch": 6.420878210439105,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019863966680379086,
+      "loss": 4.4967,
+      "mean_token_accuracy": 0.22152459472417832,
+      "num_tokens": 14130106.0,
+      "step": 7750
+    },
+    {
+      "entropy": 5.18139157295227,
+      "epoch": 6.4250207125103564,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0001983391534845258,
+      "loss": 4.5424,
+      "mean_token_accuracy": 0.2322377920150757,
+      "num_tokens": 14139071.0,
+      "step": 7755
+    },
+    {
+      "entropy": 5.224069595336914,
+      "epoch": 6.4291632145816076,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00019803879479856547,
+      "loss": 4.5974,
+      "mean_token_accuracy": 0.21825987547636033,
+      "num_tokens": 14148018.0,
+      "step": 7760
+    },
+    {
+      "entropy": 5.2009124755859375,
+      "epoch": 6.433305716652859,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019773859135176626,
+      "loss": 4.5285,
+      "mean_token_accuracy": 0.21998629420995713,
+      "num_tokens": 14156369.0,
+      "step": 7765
+    },
+    {
+      "entropy": 5.215542888641357,
+      "epoch": 6.43744821872411,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001974385437496713,
+      "loss": 4.6106,
+      "mean_token_accuracy": 0.21984836757183074,
+      "num_tokens": 14165930.0,
+      "step": 7770
+    },
+    {
+      "entropy": 5.2183332443237305,
+      "epoch": 6.44159072079536,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00019713865259750945,
+      "loss": 4.5777,
+      "mean_token_accuracy": 0.228591625392437,
+      "num_tokens": 14175557.0,
+      "step": 7775
+    },
+    {
+      "entropy": 5.288492584228516,
+      "epoch": 6.445733222866611,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019683891850019391,
+      "loss": 4.65,
+      "mean_token_accuracy": 0.2170352444052696,
+      "num_tokens": 14185532.0,
+      "step": 7780
+    },
+    {
+      "entropy": 5.372134733200073,
+      "epoch": 6.449875724937862,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00019653934206232098,
+      "loss": 4.7328,
+      "mean_token_accuracy": 0.21203465312719344,
+      "num_tokens": 14194307.0,
+      "step": 7785
+    },
+    {
+      "entropy": 5.317110586166382,
+      "epoch": 6.454018227009113,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00019623992388816935,
+      "loss": 4.6817,
+      "mean_token_accuracy": 0.22098743617534639,
+      "num_tokens": 14203900.0,
+      "step": 7790
+    },
+    {
+      "entropy": 5.264908695220948,
+      "epoch": 6.458160729080364,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0001959406645816979,
+      "loss": 4.604,
+      "mean_token_accuracy": 0.22145358771085738,
+      "num_tokens": 14213232.0,
+      "step": 7795
+    },
+    {
+      "entropy": 5.2155252456665036,
+      "epoch": 6.4623032311516155,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00019564156474654554,
+      "loss": 4.545,
+      "mean_token_accuracy": 0.21945291459560395,
+      "num_tokens": 14221365.0,
+      "step": 7800
+    },
+    {
+      "entropy": 5.183708381652832,
+      "epoch": 6.466445733222867,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00019534262498602928,
+      "loss": 4.5722,
+      "mean_token_accuracy": 0.21912614554166793,
+      "num_tokens": 14229878.0,
+      "step": 7805
+    },
+    {
+      "entropy": 5.247611427307129,
+      "epoch": 6.470588235294118,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00019504384590314318,
+      "loss": 4.6163,
+      "mean_token_accuracy": 0.21504329293966293,
+      "num_tokens": 14239132.0,
+      "step": 7810
+    },
+    {
+      "entropy": 5.27608289718628,
+      "epoch": 6.474730737365369,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.00019474522810055745,
+      "loss": 4.6315,
+      "mean_token_accuracy": 0.22245015799999238,
+      "num_tokens": 14247116.0,
+      "step": 7815
+    },
+    {
+      "entropy": 5.237215900421143,
+      "epoch": 6.47887323943662,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00019444677218061673,
+      "loss": 4.5876,
+      "mean_token_accuracy": 0.22378402203321457,
+      "num_tokens": 14255423.0,
+      "step": 7820
+    },
+    {
+      "entropy": 5.22880802154541,
+      "epoch": 6.483015741507871,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.0001941484787453393,
+      "loss": 4.5576,
+      "mean_token_accuracy": 0.22750293612480163,
+      "num_tokens": 14263836.0,
+      "step": 7825
+    },
+    {
+      "entropy": 5.1975545406341555,
+      "epoch": 6.487158243579122,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00019385034839641558,
+      "loss": 4.6818,
+      "mean_token_accuracy": 0.21816913187503814,
+      "num_tokens": 14273460.0,
+      "step": 7830
+    },
+    {
+      "entropy": 5.288527727127075,
+      "epoch": 6.491300745650372,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001935523817352071,
+      "loss": 4.6991,
+      "mean_token_accuracy": 0.21707435250282286,
+      "num_tokens": 14282925.0,
+      "step": 7835
+    },
+    {
+      "entropy": 5.283282852172851,
+      "epoch": 6.4954432477216235,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019325457936274516,
+      "loss": 4.5817,
+      "mean_token_accuracy": 0.22622769176959992,
+      "num_tokens": 14292059.0,
+      "step": 7840
+    },
+    {
+      "entropy": 5.274545192718506,
+      "epoch": 6.499585749792875,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00019295694187972955,
+      "loss": 4.6371,
+      "mean_token_accuracy": 0.2125675469636917,
+      "num_tokens": 14301276.0,
+      "step": 7845
+    },
+    {
+      "entropy": 5.247177505493164,
+      "epoch": 6.503728251864126,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019265946988652783,
+      "loss": 4.6386,
+      "mean_token_accuracy": 0.21370143294334412,
+      "num_tokens": 14310259.0,
+      "step": 7850
+    },
+    {
+      "entropy": 5.227504730224609,
+      "epoch": 6.507870753935377,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0001923621639831733,
+      "loss": 4.5105,
+      "mean_token_accuracy": 0.22504902780056,
+      "num_tokens": 14318782.0,
+      "step": 7855
+    },
+    {
+      "entropy": 5.173471689224243,
+      "epoch": 6.512013256006628,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00019206502476936467,
+      "loss": 4.4963,
+      "mean_token_accuracy": 0.23206298500299455,
+      "num_tokens": 14327571.0,
+      "step": 7860
+    },
+    {
+      "entropy": 5.135555934906006,
+      "epoch": 6.516155758077879,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00019176805284446414,
+      "loss": 4.5319,
+      "mean_token_accuracy": 0.23313156962394715,
+      "num_tokens": 14336974.0,
+      "step": 7865
+    },
+    {
+      "entropy": 5.291125202178955,
+      "epoch": 6.52029826014913,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00019147124880749633,
+      "loss": 4.6926,
+      "mean_token_accuracy": 0.218401962518692,
+      "num_tokens": 14346367.0,
+      "step": 7870
+    },
+    {
+      "entropy": 5.287627267837524,
+      "epoch": 6.524440762220381,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00019117461325714768,
+      "loss": 4.6304,
+      "mean_token_accuracy": 0.22132983505725862,
+      "num_tokens": 14355641.0,
+      "step": 7875
+    },
+    {
+      "entropy": 5.246808195114136,
+      "epoch": 6.528583264291632,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019087814679176436,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.22451686710119248,
+      "num_tokens": 14364927.0,
+      "step": 7880
+    },
+    {
+      "entropy": 5.234672212600708,
+      "epoch": 6.5327257663628835,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019058185000935175,
+      "loss": 4.5399,
+      "mean_token_accuracy": 0.22587109208106995,
+      "num_tokens": 14373370.0,
+      "step": 7885
+    },
+    {
+      "entropy": 5.254017162322998,
+      "epoch": 6.536868268434135,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00019028572350757278,
+      "loss": 4.6124,
+      "mean_token_accuracy": 0.21654532849788666,
+      "num_tokens": 14381820.0,
+      "step": 7890
+    },
+    {
+      "entropy": 5.2422840118408205,
+      "epoch": 6.541010770505386,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018998976788374682,
+      "loss": 4.5875,
+      "mean_token_accuracy": 0.21863880306482314,
+      "num_tokens": 14391158.0,
+      "step": 7895
+    },
+    {
+      "entropy": 5.201485252380371,
+      "epoch": 6.545153272576636,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00018969398373484898,
+      "loss": 4.6299,
+      "mean_token_accuracy": 0.21829961985349655,
+      "num_tokens": 14399945.0,
+      "step": 7900
+    },
+    {
+      "entropy": 5.200627136230469,
+      "epoch": 6.549295774647887,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00018939837165750796,
+      "loss": 4.5447,
+      "mean_token_accuracy": 0.22442623525857924,
+      "num_tokens": 14410275.0,
+      "step": 7905
+    },
+    {
+      "entropy": 5.29403018951416,
+      "epoch": 6.553438276719138,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00018910293224800584,
+      "loss": 4.6482,
+      "mean_token_accuracy": 0.2173393338918686,
+      "num_tokens": 14420369.0,
+      "step": 7910
+    },
+    {
+      "entropy": 5.291232109069824,
+      "epoch": 6.557580778790389,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00018880766610227608,
+      "loss": 4.6234,
+      "mean_token_accuracy": 0.22409190386533737,
+      "num_tokens": 14429078.0,
+      "step": 7915
+    },
+    {
+      "entropy": 5.234523487091065,
+      "epoch": 6.56172328086164,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018851257381590264,
+      "loss": 4.5824,
+      "mean_token_accuracy": 0.22088503539562226,
+      "num_tokens": 14438920.0,
+      "step": 7920
+    },
+    {
+      "entropy": 5.292790508270263,
+      "epoch": 6.5658657829328915,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018821765598411917,
+      "loss": 4.7699,
+      "mean_token_accuracy": 0.20645501464605331,
+      "num_tokens": 14449164.0,
+      "step": 7925
+    },
+    {
+      "entropy": 5.241003036499023,
+      "epoch": 6.570008285004143,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00018792291320180693,
+      "loss": 4.6977,
+      "mean_token_accuracy": 0.2070661887526512,
+      "num_tokens": 14459418.0,
+      "step": 7930
+    },
+    {
+      "entropy": 5.294680643081665,
+      "epoch": 6.574150787075394,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00018762834606349455,
+      "loss": 4.5906,
+      "mean_token_accuracy": 0.22685577124357223,
+      "num_tokens": 14468691.0,
+      "step": 7935
+    },
+    {
+      "entropy": 5.322669315338135,
+      "epoch": 6.578293289146645,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00018733395516335588,
+      "loss": 4.6731,
+      "mean_token_accuracy": 0.21569546610116958,
+      "num_tokens": 14477936.0,
+      "step": 7940
+    },
+    {
+      "entropy": 5.285602855682373,
+      "epoch": 6.582435791217896,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00018703974109520976,
+      "loss": 4.6442,
+      "mean_token_accuracy": 0.22226325422525406,
+      "num_tokens": 14487191.0,
+      "step": 7945
+    },
+    {
+      "entropy": 5.2095410346984865,
+      "epoch": 6.586578293289147,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018674570445251798,
+      "loss": 4.566,
+      "mean_token_accuracy": 0.2255881741642952,
+      "num_tokens": 14495731.0,
+      "step": 7950
+    },
+    {
+      "entropy": 5.200072622299194,
+      "epoch": 6.590720795360397,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018645184582838465,
+      "loss": 4.5668,
+      "mean_token_accuracy": 0.22047847658395767,
+      "num_tokens": 14505009.0,
+      "step": 7955
+    },
+    {
+      "entropy": 5.211784410476684,
+      "epoch": 6.594863297431648,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00018615816581555466,
+      "loss": 4.614,
+      "mean_token_accuracy": 0.21996732503175737,
+      "num_tokens": 14513843.0,
+      "step": 7960
+    },
+    {
+      "entropy": 5.188229322433472,
+      "epoch": 6.5990057995028994,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0001858646650064128,
+      "loss": 4.6074,
+      "mean_token_accuracy": 0.22044946551322936,
+      "num_tokens": 14523405.0,
+      "step": 7965
+    },
+    {
+      "entropy": 5.254159069061279,
+      "epoch": 6.603148301574151,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018557134399298215,
+      "loss": 4.6781,
+      "mean_token_accuracy": 0.21682086437940598,
+      "num_tokens": 14532615.0,
+      "step": 7970
+    },
+    {
+      "entropy": 5.2646036624908445,
+      "epoch": 6.607290803645402,
+      "grad_norm": 1.671875,
+      "learning_rate": 0.0001852782033669233,
+      "loss": 4.6101,
+      "mean_token_accuracy": 0.22458707094192504,
+      "num_tokens": 14541297.0,
+      "step": 7975
+    },
+    {
+      "entropy": 5.216501903533936,
+      "epoch": 6.611433305716653,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00018498524371953295,
+      "loss": 4.556,
+      "mean_token_accuracy": 0.22257563024759291,
+      "num_tokens": 14549867.0,
+      "step": 7980
+    },
+    {
+      "entropy": 5.22313437461853,
+      "epoch": 6.615575807787904,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018469246564174275,
+      "loss": 4.6508,
+      "mean_token_accuracy": 0.20906404107809068,
+      "num_tokens": 14558708.0,
+      "step": 7985
+    },
+    {
+      "entropy": 5.215989065170288,
+      "epoch": 6.619718309859155,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.000184399869724118,
+      "loss": 4.648,
+      "mean_token_accuracy": 0.21317926198244094,
+      "num_tokens": 14567917.0,
+      "step": 7990
+    },
+    {
+      "entropy": 5.194528484344483,
+      "epoch": 6.623860811930406,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00018410745655685662,
+      "loss": 4.5161,
+      "mean_token_accuracy": 0.23143290728330612,
+      "num_tokens": 14576417.0,
+      "step": 7995
+    },
+    {
+      "entropy": 5.19383282661438,
+      "epoch": 6.628003314001657,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00018381522672978806,
+      "loss": 4.5967,
+      "mean_token_accuracy": 0.2205110549926758,
+      "num_tokens": 14585172.0,
+      "step": 8000
+    },
+    {
+      "epoch": 6.628003314001657,
+      "eval_entropy": 5.144060653409978,
+      "eval_loss": 5.7370734214782715,
+      "eval_mean_token_accuracy": 0.1679431346020719,
+      "eval_num_tokens": 14585172.0,
+      "eval_runtime": 2.746,
+      "eval_samples_per_second": 1364.549,
+      "eval_steps_per_second": 170.796,
+      "step": 8000
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 12060,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 2.1769378766208e+16,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}
diff --git a/checkpoint-8000/training_args.bin b/checkpoint-8000/training_args.bin
new file mode 100644
index 0000000..47a7b32
--- /dev/null
+++ b/checkpoint-8000/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e406e906697be5d5c4bea7f90a038122ca162eb6b7e40512a32661ef55af9075
+size 6353
diff --git a/checkpoint-8500/added_tokens.json b/checkpoint-8500/added_tokens.json
new file mode 100644
index 0000000..b3dbcdb
--- /dev/null
+++ b/checkpoint-8500/added_tokens.json
@@ -0,0 +1,1202 @@
+{
+  "<pad>": 50002,
+  "[CLS]": 50000,
+  "[MASK]": 50003,
+  "[SEP]": 50001,
+  "[XXXXX0]": 50771,
+  "[XXXXX1000]": 50549,
+  "[XXXXX1001]": 50657,
+  "[XXXXX1002]": 51158,
+  "[XXXXX1003]": 51044,
+  "[XXXXX1004]": 50688,
+  "[XXXXX1005]": 50689,
+  "[XXXXX1006]": 50410,
+  "[XXXXX1007]": 50724,
+  "[XXXXX1008]": 50171,
+  "[XXXXX1009]": 51077,
+  "[XXXXX100]": 50091,
+  "[XXXXX1010]": 50639,
+  "[XXXXX1011]": 51094,
+  "[XXXXX1012]": 50392,
+  "[XXXXX1013]": 50626,
+  "[XXXXX1014]": 50991,
+  "[XXXXX1015]": 50529,
+  "[XXXXX1016]": 51193,
+  "[XXXXX1017]": 51073,
+  "[XXXXX1018]": 51104,
+  "[XXXXX1019]": 50775,
+  "[XXXXX101]": 50139,
+  "[XXXXX1020]": 50157,
+  "[XXXXX1021]": 50934,
+  "[XXXXX1022]": 51159,
+  "[XXXXX1023]": 50048,
+  "[XXXXX1024]": 51123,
+  "[XXXXX1025]": 50084,
+  "[XXXXX1026]": 50813,
+  "[XXXXX1027]": 50725,
+  "[XXXXX1028]": 50931,
+  "[XXXXX1029]": 50233,
+  "[XXXXX102]": 50213,
+  "[XXXXX1030]": 51023,
+  "[XXXXX1031]": 50098,
+  "[XXXXX1032]": 50802,
+  "[XXXXX1033]": 50061,
+  "[XXXXX1034]": 51139,
+  "[XXXXX1035]": 51110,
+  "[XXXXX1036]": 50204,
+  "[XXXXX1037]": 50023,
+  "[XXXXX1038]": 50142,
+  "[XXXXX1039]": 50328,
+  "[XXXXX103]": 50087,
+  "[XXXXX1040]": 50435,
+  "[XXXXX1041]": 50489,
+  "[XXXXX1042]": 50216,
+  "[XXXXX1043]": 50144,
+  "[XXXXX1044]": 50832,
+  "[XXXXX1045]": 50566,
+  "[XXXXX1046]": 50922,
+  "[XXXXX1047]": 50796,
+  "[XXXXX1048]": 50533,
+  "[XXXXX1049]": 50433,
+  "[XXXXX104]": 50478,
+  "[XXXXX1050]": 50953,
+  "[XXXXX1051]": 50497,
+  "[XXXXX1052]": 50655,
+  "[XXXXX1053]": 50881,
+  "[XXXXX1054]": 50461,
+  "[XXXXX1055]": 50052,
+  "[XXXXX1056]": 50219,
+  "[XXXXX1057]": 50789,
+  "[XXXXX1058]": 50121,
+  "[XXXXX1059]": 51002,
+  "[XXXXX105]": 51192,
+  "[XXXXX1060]": 50158,
+  "[XXXXX1061]": 50352,
+  "[XXXXX1062]": 50637,
+  "[XXXXX1063]": 50440,
+  "[XXXXX1064]": 50590,
+  "[XXXXX1065]": 51107,
+  "[XXXXX1066]": 50758,
+  "[XXXXX1067]": 51011,
+  "[XXXXX1068]": 50985,
+  "[XXXXX1069]": 51175,
+  "[XXXXX106]": 50532,
+  "[XXXXX1070]": 50790,
+  "[XXXXX1071]": 50394,
+  "[XXXXX1072]": 50852,
+  "[XXXXX1073]": 50869,
+  "[XXXXX1074]": 50126,
+  "[XXXXX1075]": 50783,
+  "[XXXXX1076]": 50806,
+  "[XXXXX1077]": 50882,
+  "[XXXXX1078]": 50726,
+  "[XXXXX1079]": 51010,
+  "[XXXXX107]": 50714,
+  "[XXXXX1080]": 50168,
+  "[XXXXX1081]": 50425,
+  "[XXXXX1082]": 50848,
+  "[XXXXX1083]": 50014,
+  "[XXXXX1084]": 50341,
+  "[XXXXX1085]": 50734,
+  "[XXXXX1086]": 50664,
+  "[XXXXX1087]": 51007,
+  "[XXXXX1088]": 51151,
+  "[XXXXX1089]": 50269,
+  "[XXXXX108]": 50996,
+  "[XXXXX1090]": 50826,
+  "[XXXXX1091]": 51105,
+  "[XXXXX1092]": 50731,
+  "[XXXXX1093]": 50856,
+  "[XXXXX1094]": 50369,
+  "[XXXXX1095]": 50065,
+  "[XXXXX1096]": 50309,
+  "[XXXXX1097]": 50838,
+  "[XXXXX1098]": 50451,
+  "[XXXXX1099]": 50384,
+  "[XXXXX109]": 50543,
+  "[XXXXX10]": 50325,
+  "[XXXXX1100]": 50318,
+  "[XXXXX1101]": 50764,
+  "[XXXXX1102]": 51025,
+  "[XXXXX1103]": 50642,
+  "[XXXXX1104]": 50665,
+  "[XXXXX1105]": 50855,
+  "[XXXXX1106]": 51063,
+  "[XXXXX1107]": 50025,
+  "[XXXXX1108]": 50122,
+  "[XXXXX1109]": 50470,
+  "[XXXXX110]": 50062,
+  "[XXXXX1110]": 51019,
+  "[XXXXX1111]": 51124,
+  "[XXXXX1112]": 50146,
+  "[XXXXX1113]": 51125,
+  "[XXXXX1114]": 50434,
+  "[XXXXX1115]": 50818,
+  "[XXXXX1116]": 50960,
+  "[XXXXX1117]": 50258,
+  "[XXXXX1118]": 50596,
+  "[XXXXX1119]": 50083,
+  "[XXXXX111]": 51064,
+  "[XXXXX1120]": 50915,
+  "[XXXXX1121]": 50835,
+  "[XXXXX1122]": 51056,
+  "[XXXXX1123]": 50172,
+  "[XXXXX1124]": 50972,
+  "[XXXXX1125]": 50275,
+  "[XXXXX1126]": 50430,
+  "[XXXXX1127]": 50743,
+  "[XXXXX1128]": 50551,
+  "[XXXXX1129]": 50439,
+  "[XXXXX112]": 50819,
+  "[XXXXX1130]": 50536,
+  "[XXXXX1131]": 50622,
+  "[XXXXX1132]": 50623,
+  "[XXXXX1133]": 50117,
+  "[XXXXX1134]": 50251,
+  "[XXXXX1135]": 50678,
+  "[XXXXX1136]": 50316,
+  "[XXXXX1137]": 50905,
+  "[XXXXX1138]": 50992,
+  "[XXXXX1139]": 50851,
+  "[XXXXX113]": 50443,
+  "[XXXXX1140]": 50499,
+  "[XXXXX1141]": 50629,
+  "[XXXXX1142]": 50944,
+  "[XXXXX1143]": 50373,
+  "[XXXXX1144]": 50123,
+  "[XXXXX1145]": 50173,
+  "[XXXXX1146]": 50891,
+  "[XXXXX1147]": 50471,
+  "[XXXXX1148]": 50560,
+  "[XXXXX1149]": 50541,
+  "[XXXXX114]": 50631,
+  "[XXXXX1150]": 50033,
+  "[XXXXX1151]": 50063,
+  "[XXXXX1152]": 50767,
+  "[XXXXX1153]": 50897,
+  "[XXXXX1154]": 50568,
+  "[XXXXX1155]": 51131,
+  "[XXXXX1156]": 50009,
+  "[XXXXX1157]": 50417,
+  "[XXXXX1158]": 50477,
+  "[XXXXX1159]": 50941,
+  "[XXXXX115]": 50294,
+  "[XXXXX1160]": 50679,
+  "[XXXXX1161]": 51108,
+  "[XXXXX1162]": 50332,
+  "[XXXXX1163]": 50424,
+  "[XXXXX1164]": 50473,
+  "[XXXXX1165]": 50793,
+  "[XXXXX1166]": 50453,
+  "[XXXXX1167]": 50807,
+  "[XXXXX1168]": 50128,
+  "[XXXXX1169]": 50039,
+  "[XXXXX116]": 50759,
+  "[XXXXX1170]": 50735,
+  "[XXXXX1171]": 50366,
+  "[XXXXX1172]": 50808,
+  "[XXXXX1173]": 50426,
+  "[XXXXX1174]": 50076,
+  "[XXXXX1175]": 50943,
+  "[XXXXX1176]": 50252,
+  "[XXXXX1177]": 50999,
+  "[XXXXX1178]": 50264,
+  "[XXXXX1179]": 50607,
+  "[XXXXX117]": 51036,
+  "[XXXXX1180]": 50986,
+  "[XXXXX1181]": 50744,
+  "[XXXXX1182]": 50186,
+  "[XXXXX1183]": 50555,
+  "[XXXXX1184]": 51076,
+  "[XXXXX1185]": 50849,
+  "[XXXXX1186]": 51128,
+  "[XXXXX1187]": 50858,
+  "[XXXXX1188]": 50656,
+  "[XXXXX1189]": 50064,
+  "[XXXXX118]": 50081,
+  "[XXXXX1190]": 51197,
+  "[XXXXX1191]": 50104,
+  "[XXXXX1192]": 50045,
+  "[XXXXX1193]": 50404,
+  "[XXXXX1194]": 50690,
+  "[XXXXX1195]": 50495,
+  "[XXXXX119]": 50108,
+  "[XXXXX11]": 50976,
+  "[XXXXX120]": 51081,
+  "[XXXXX121]": 50464,
+  "[XXXXX122]": 50829,
+  "[XXXXX123]": 50766,
+  "[XXXXX124]": 50732,
+  "[XXXXX125]": 50221,
+  "[XXXXX126]": 50810,
+  "[XXXXX127]": 50130,
+  "[XXXXX128]": 50751,
+  "[XXXXX129]": 50662,
+  "[XXXXX12]": 50602,
+  "[XXXXX130]": 50035,
+  "[XXXXX131]": 50715,
+  "[XXXXX132]": 50340,
+  "[XXXXX133]": 50563,
+  "[XXXXX134]": 50993,
+  "[XXXXX135]": 50304,
+  "[XXXXX136]": 50131,
+  "[XXXXX137]": 50578,
+  "[XXXXX138]": 50757,
+  "[XXXXX139]": 50582,
+  "[XXXXX13]": 50105,
+  "[XXXXX140]": 50085,
+  "[XXXXX141]": 50553,
+  "[XXXXX142]": 50749,
+  "[XXXXX143]": 50351,
+  "[XXXXX144]": 51024,
+  "[XXXXX145]": 51144,
+  "[XXXXX146]": 50042,
+  "[XXXXX147]": 50145,
+  "[XXXXX148]": 50066,
+  "[XXXXX149]": 50876,
+  "[XXXXX14]": 51006,
+  "[XXXXX150]": 50280,
+  "[XXXXX151]": 50093,
+  "[XXXXX152]": 50638,
+  "[XXXXX153]": 50684,
+  "[XXXXX154]": 50820,
+  "[XXXXX155]": 51196,
+  "[XXXXX156]": 50317,
+  "[XXXXX157]": 50284,
+  "[XXXXX158]": 50288,
+  "[XXXXX159]": 50814,
+  "[XXXXX15]": 50608,
+  "[XXXXX160]": 50004,
+  "[XXXXX161]": 50008,
+  "[XXXXX162]": 50377,
+  "[XXXXX163]": 50214,
+  "[XXXXX164]": 50708,
+  "[XXXXX165]": 50390,
+  "[XXXXX166]": 50741,
+  "[XXXXX167]": 50445,
+  "[XXXXX168]": 50936,
+  "[XXXXX169]": 50896,
+  "[XXXXX16]": 50442,
+  "[XXXXX170]": 50109,
+  "[XXXXX171]": 50140,
+  "[XXXXX172]": 50427,
+  "[XXXXX173]": 51074,
+  "[XXXXX174]": 50162,
+  "[XXXXX175]": 51015,
+  "[XXXXX176]": 50524,
+  "[XXXXX177]": 50673,
+  "[XXXXX178]": 50054,
+  "[XXXXX179]": 50805,
+  "[XXXXX17]": 50482,
+  "[XXXXX180]": 50253,
+  "[XXXXX181]": 50493,
+  "[XXXXX182]": 50421,
+  "[XXXXX183]": 51050,
+  "[XXXXX184]": 50521,
+  "[XXXXX185]": 50188,
+  "[XXXXX186]": 50147,
+  "[XXXXX187]": 50201,
+  "[XXXXX188]": 50973,
+  "[XXXXX189]": 50409,
+  "[XXXXX18]": 50115,
+  "[XXXXX190]": 50051,
+  "[XXXXX191]": 51020,
+  "[XXXXX192]": 51047,
+  "[XXXXX193]": 50669,
+  "[XXXXX194]": 50643,
+  "[XXXXX195]": 50159,
+  "[XXXXX196]": 50649,
+  "[XXXXX197]": 51178,
+  "[XXXXX198]": 50043,
+  "[XXXXX199]": 51147,
+  "[XXXXX19]": 51127,
+  "[XXXXX1]": 51114,
+  "[XXXXX200]": 50840,
+  "[XXXXX201]": 50365,
+  "[XXXXX202]": 50232,
+  "[XXXXX203]": 50241,
+  "[XXXXX204]": 50548,
+  "[XXXXX205]": 50781,
+  "[XXXXX206]": 50923,
+  "[XXXXX207]": 51115,
+  "[XXXXX208]": 50344,
+  "[XXXXX209]": 50299,
+  "[XXXXX20]": 51031,
+  "[XXXXX210]": 51179,
+  "[XXXXX211]": 51163,
+  "[XXXXX212]": 50562,
+  "[XXXXX213]": 50094,
+  "[XXXXX214]": 50257,
+  "[XXXXX215]": 50967,
+  "[XXXXX216]": 50523,
+  "[XXXXX217]": 51132,
+  "[XXXXX218]": 51146,
+  "[XXXXX219]": 50411,
+  "[XXXXX21]": 50354,
+  "[XXXXX220]": 50853,
+  "[XXXXX221]": 50886,
+  "[XXXXX222]": 50600,
+  "[XXXXX223]": 50873,
+  "[XXXXX224]": 50416,
+  "[XXXXX225]": 50675,
+  "[XXXXX226]": 50583,
+  "[XXXXX227]": 50151,
+  "[XXXXX228]": 50927,
+  "[XXXXX229]": 50609,
+  "[XXXXX22]": 50589,
+  "[XXXXX230]": 50238,
+  "[XXXXX231]": 50242,
+  "[XXXXX232]": 51016,
+  "[XXXXX233]": 50406,
+  "[XXXXX234]": 50908,
+  "[XXXXX235]": 50024,
+  "[XXXXX236]": 50270,
+  "[XXXXX237]": 50132,
+  "[XXXXX238]": 50800,
+  "[XXXXX239]": 50236,
+  "[XXXXX23]": 50007,
+  "[XXXXX240]": 50005,
+  "[XXXXX241]": 50894,
+  "[XXXXX242]": 50694,
+  "[XXXXX243]": 51071,
+  "[XXXXX244]": 51017,
+  "[XXXXX245]": 50068,
+  "[XXXXX246]": 50682,
+  "[XXXXX247]": 50913,
+  "[XXXXX248]": 51028,
+  "[XXXXX249]": 50037,
+  "[XXXXX24]": 51169,
+  "[XXXXX250]": 50747,
+  "[XXXXX251]": 50947,
+  "[XXXXX252]": 50329,
+  "[XXXXX253]": 50612,
+  "[XXXXX254]": 50110,
+  "[XXXXX255]": 50824,
+  "[XXXXX256]": 50558,
+  "[XXXXX257]": 50969,
+  "[XXXXX258]": 50729,
+  "[XXXXX259]": 50125,
+  "[XXXXX25]": 51160,
+  "[XXXXX260]": 50040,
+  "[XXXXX261]": 51038,
+  "[XXXXX262]": 50347,
+  "[XXXXX263]": 50740,
+  "[XXXXX264]": 51195,
+  "[XXXXX265]": 50879,
+  "[XXXXX266]": 50770,
+  "[XXXXX267]": 50178,
+  "[XXXXX268]": 50804,
+  "[XXXXX269]": 50906,
+  "[XXXXX26]": 50150,
+  "[XXXXX270]": 51191,
+  "[XXXXX271]": 50047,
+  "[XXXXX272]": 50195,
+  "[XXXXX273]": 50554,
+  "[XXXXX274]": 50833,
+  "[XXXXX275]": 50346,
+  "[XXXXX276]": 50950,
+  "[XXXXX277]": 50864,
+  "[XXXXX278]": 50259,
+  "[XXXXX279]": 50671,
+  "[XXXXX27]": 50468,
+  "[XXXXX280]": 50082,
+  "[XXXXX281]": 50565,
+  "[XXXXX282]": 50984,
+  "[XXXXX283]": 50650,
+  "[XXXXX284]": 50975,
+  "[XXXXX285]": 50603,
+  "[XXXXX286]": 50027,
+  "[XXXXX287]": 50181,
+  "[XXXXX288]": 50981,
+  "[XXXXX289]": 50885,
+  "[XXXXX28]": 50249,
+  "[XXXXX290]": 50522,
+  "[XXXXX291]": 50050,
+  "[XXXXX292]": 50313,
+  "[XXXXX293]": 50503,
+  "[XXXXX294]": 51176,
+  "[XXXXX295]": 51177,
+  "[XXXXX296]": 50379,
+  "[XXXXX297]": 50635,
+  "[XXXXX298]": 50723,
+  "[XXXXX299]": 50200,
+  "[XXXXX29]": 50892,
+  "[XXXXX2]": 51119,
+  "[XXXXX300]": 51026,
+  "[XXXXX301]": 50528,
+  "[XXXXX302]": 51149,
+  "[XXXXX303]": 50044,
+  "[XXXXX304]": 50209,
+  "[XXXXX305]": 50988,
+  "[XXXXX306]": 50518,
+  "[XXXXX307]": 50088,
+  "[XXXXX308]": 50733,
+  "[XXXXX309]": 51066,
+  "[XXXXX30]": 50506,
+  "[XXXXX310]": 50285,
+  "[XXXXX311]": 50859,
+  "[XXXXX312]": 50263,
+  "[XXXXX313]": 50594,
+  "[XXXXX314]": 51103,
+  "[XXXXX315]": 50871,
+  "[XXXXX316]": 50300,
+  "[XXXXX317]": 50760,
+  "[XXXXX318]": 50055,
+  "[XXXXX319]": 50389,
+  "[XXXXX31]": 50212,
+  "[XXXXX320]": 50444,
+  "[XXXXX321]": 50994,
+  "[XXXXX322]": 50281,
+  "[XXXXX323]": 50179,
+  "[XXXXX324]": 50455,
+  "[XXXXX325]": 50970,
+  "[XXXXX326]": 50666,
+  "[XXXXX327]": 50604,
+  "[XXXXX328]": 50627,
+  "[XXXXX329]": 50475,
+  "[XXXXX32]": 50277,
+  "[XXXXX330]": 50667,
+  "[XXXXX331]": 50348,
+  "[XXXXX332]": 50772,
+  "[XXXXX333]": 50163,
+  "[XXXXX334]": 50569,
+  "[XXXXX335]": 50018,
+  "[XXXXX336]": 50883,
+  "[XXXXX337]": 50067,
+  "[XXXXX338]": 51184,
+  "[XXXXX339]": 50997,
+  "[XXXXX33]": 50403,
+  "[XXXXX340]": 51013,
+  "[XXXXX341]": 50957,
+  "[XXXXX342]": 51106,
+  "[XXXXX343]": 51174,
+  "[XXXXX344]": 50391,
+  "[XXXXX345]": 50948,
+  "[XXXXX346]": 50180,
+  "[XXXXX347]": 50811,
+  "[XXXXX348]": 50401,
+  "[XXXXX349]": 50911,
+  "[XXXXX34]": 50223,
+  "[XXXXX350]": 51089,
+  "[XXXXX351]": 50777,
+  "[XXXXX352]": 50189,
+  "[XXXXX353]": 50492,
+  "[XXXXX354]": 50205,
+  "[XXXXX355]": 50374,
+  "[XXXXX356]": 51152,
+  "[XXXXX357]": 50695,
+  "[XXXXX358]": 51117,
+  "[XXXXX359]": 50573,
+  "[XXXXX35]": 50752,
+  "[XXXXX360]": 50955,
+  "[XXXXX361]": 50349,
+  "[XXXXX362]": 51137,
+  "[XXXXX363]": 50641,
+  "[XXXXX364]": 51148,
+  "[XXXXX365]": 50255,
+  "[XXXXX366]": 50310,
+  "[XXXXX367]": 50314,
+  "[XXXXX368]": 50971,
+  "[XXXXX369]": 50916,
+  "[XXXXX36]": 50437,
+  "[XXXXX370]": 51096,
+  "[XXXXX371]": 50557,
+  "[XXXXX372]": 51095,
+  "[XXXXX373]": 50382,
+  "[XXXXX374]": 50119,
+  "[XXXXX375]": 50958,
+  "[XXXXX376]": 50624,
+  "[XXXXX377]": 50483,
+  "[XXXXX378]": 50605,
+  "[XXXXX379]": 50017,
+  "[XXXXX37]": 50706,
+  "[XXXXX380]": 50246,
+  "[XXXXX381]": 50588,
+  "[XXXXX382]": 51008,
+  "[XXXXX383]": 50801,
+  "[XXXXX384]": 50290,
+  "[XXXXX385]": 50899,
+  "[XXXXX386]": 50206,
+  "[XXXXX387]": 50716,
+  "[XXXXX388]": 51082,
+  "[XXXXX389]": 50177,
+  "[XXXXX38]": 50736,
+  "[XXXXX390]": 50282,
+  "[XXXXX391]": 51183,
+  "[XXXXX392]": 50286,
+  "[XXXXX393]": 50659,
+  "[XXXXX394]": 50378,
+  "[XXXXX395]": 50709,
+  "[XXXXX396]": 50028,
+  "[XXXXX397]": 50235,
+  "[XXXXX398]": 51014,
+  "[XXXXX399]": 50880,
+  "[XXXXX39]": 50305,
+  "[XXXXX3]": 50077,
+  "[XXXXX400]": 50155,
+  "[XXXXX401]": 50710,
+  "[XXXXX402]": 50507,
+  "[XXXXX403]": 50860,
+  "[XXXXX404]": 50661,
+  "[XXXXX405]": 51083,
+  "[XXXXX406]": 50888,
+  "[XXXXX407]": 50069,
+  "[XXXXX408]": 50691,
+  "[XXXXX409]": 51055,
+  "[XXXXX40]": 50337,
+  "[XXXXX410]": 50137,
+  "[XXXXX411]": 50791,
+  "[XXXXX412]": 50136,
+  "[XXXXX413]": 50730,
+  "[XXXXX414]": 50267,
+  "[XXXXX415]": 50012,
+  "[XXXXX416]": 50681,
+  "[XXXXX417]": 50942,
+  "[XXXXX418]": 50720,
+  "[XXXXX419]": 50844,
+  "[XXXXX41]": 50387,
+  "[XXXXX420]": 50111,
+  "[XXXXX421]": 51003,
+  "[XXXXX422]": 50785,
+  "[XXXXX423]": 50149,
+  "[XXXXX424]": 50422,
+  "[XXXXX425]": 51086,
+  "[XXXXX426]": 50862,
+  "[XXXXX427]": 50576,
+  "[XXXXX428]": 51049,
+  "[XXXXX429]": 50630,
+  "[XXXXX42]": 50799,
+  "[XXXXX430]": 50289,
+  "[XXXXX431]": 50184,
+  "[XXXXX432]": 50319,
+  "[XXXXX433]": 51116,
+  "[XXXXX434]": 50519,
+  "[XXXXX435]": 50496,
+  "[XXXXX436]": 50517,
+  "[XXXXX437]": 50865,
+  "[XXXXX438]": 50737,
+  "[XXXXX439]": 50356,
+  "[XXXXX43]": 50359,
+  "[XXXXX440]": 50898,
+  "[XXXXX441]": 50113,
+  "[XXXXX442]": 50527,
+  "[XXXXX443]": 50762,
+  "[XXXXX444]": 50540,
+  "[XXXXX445]": 50925,
+  "[XXXXX446]": 50711,
+  "[XXXXX447]": 50143,
+  "[XXXXX448]": 51170,
+  "[XXXXX449]": 50413,
+  "[XXXXX44]": 50097,
+  "[XXXXX450]": 50375,
+  "[XXXXX451]": 50846,
+  "[XXXXX452]": 50217,
+  "[XXXXX453]": 50699,
+  "[XXXXX454]": 50412,
+  "[XXXXX455]": 50418,
+  "[XXXXX456]": 51143,
+  "[XXXXX457]": 51141,
+  "[XXXXX458]": 51157,
+  "[XXXXX459]": 50825,
+  "[XXXXX45]": 50203,
+  "[XXXXX460]": 50194,
+  "[XXXXX461]": 50148,
+  "[XXXXX462]": 50276,
+  "[XXXXX463]": 50271,
+  "[XXXXX464]": 50836,
+  "[XXXXX465]": 50854,
+  "[XXXXX466]": 50164,
+  "[XXXXX467]": 50484,
+  "[XXXXX468]": 51097,
+  "[XXXXX469]": 50182,
+  "[XXXXX46]": 50505,
+  "[XXXXX470]": 50670,
+  "[XXXXX471]": 50595,
+  "[XXXXX472]": 50237,
+  "[XXXXX473]": 50057,
+  "[XXXXX474]": 50431,
+  "[XXXXX475]": 50738,
+  "[XXXXX476]": 51145,
+  "[XXXXX477]": 50247,
+  "[XXXXX478]": 50029,
+  "[XXXXX479]": 50917,
+  "[XXXXX47]": 50579,
+  "[XXXXX480]": 50702,
+  "[XXXXX481]": 50831,
+  "[XXXXX482]": 50753,
+  "[XXXXX483]": 50598,
+  "[XXXXX484]": 51136,
+  "[XXXXX485]": 50092,
+  "[XXXXX486]": 50202,
+  "[XXXXX487]": 50106,
+  "[XXXXX488]": 50924,
+  "[XXXXX489]": 51113,
+  "[XXXXX48]": 50842,
+  "[XXXXX490]": 50761,
+  "[XXXXX491]": 50577,
+  "[XXXXX492]": 50692,
+  "[XXXXX493]": 51130,
+  "[XXXXX494]": 50932,
+  "[XXXXX495]": 50837,
+  "[XXXXX496]": 50893,
+  "[XXXXX497]": 50773,
+  "[XXXXX498]": 50360,
+  "[XXXXX499]": 50900,
+  "[XXXXX49]": 51062,
+  "[XXXXX4]": 50396,
+  "[XXXXX500]": 51034,
+  "[XXXXX501]": 50472,
+  "[XXXXX502]": 50660,
+  "[XXXXX503]": 50815,
+  "[XXXXX504]": 50939,
+  "[XXXXX505]": 50419,
+  "[XXXXX506]": 50324,
+  "[XXXXX507]": 50428,
+  "[XXXXX508]": 50274,
+  "[XXXXX509]": 50311,
+  "[XXXXX50]": 50459,
+  "[XXXXX510]": 50674,
+  "[XXXXX511]": 50580,
+  "[XXXXX512]": 50956,
+  "[XXXXX513]": 50165,
+  "[XXXXX514]": 50320,
+  "[XXXXX515]": 50648,
+  "[XXXXX516]": 50386,
+  "[XXXXX517]": 50058,
+  "[XXXXX518]": 51045,
+  "[XXXXX519]": 50103,
+  "[XXXXX51]": 50979,
+  "[XXXXX520]": 50530,
+  "[XXXXX521]": 50907,
+  "[XXXXX522]": 50260,
+  "[XXXXX523]": 50632,
+  "[XXXXX524]": 50926,
+  "[XXXXX525]": 50687,
+  "[XXXXX526]": 50160,
+  "[XXXXX527]": 51053,
+  "[XXXXX528]": 50652,
+  "[XXXXX529]": 51041,
+  "[XXXXX52]": 50272,
+  "[XXXXX530]": 51111,
+  "[XXXXX531]": 51009,
+  "[XXXXX532]": 51079,
+  "[XXXXX533]": 50487,
+  "[XXXXX534]": 51059,
+  "[XXXXX535]": 50335,
+  "[XXXXX536]": 50380,
+  "[XXXXX537]": 50301,
+  "[XXXXX538]": 51067,
+  "[XXXXX539]": 51052,
+  "[XXXXX53]": 51048,
+  "[XXXXX540]": 50822,
+  "[XXXXX541]": 51040,
+  "[XXXXX542]": 50490,
+  "[XXXXX543]": 50448,
+  "[XXXXX544]": 50812,
+  "[XXXXX545]": 50099,
+  "[XXXXX546]": 51199,
+  "[XXXXX547]": 50226,
+  "[XXXXX548]": 50538,
+  "[XXXXX549]": 50342,
+  "[XXXXX54]": 50701,
+  "[XXXXX550]": 50544,
+  "[XXXXX551]": 50398,
+  "[XXXXX552]": 51102,
+  "[XXXXX553]": 50919,
+  "[XXXXX554]": 50615,
+  "[XXXXX555]": 50769,
+  "[XXXXX556]": 50940,
+  "[XXXXX557]": 50070,
+  "[XXXXX558]": 50680,
+  "[XXXXX559]": 50611,
+  "[XXXXX55]": 50574,
+  "[XXXXX560]": 50381,
+  "[XXXXX561]": 50350,
+  "[XXXXX562]": 50175,
+  "[XXXXX563]": 50584,
+  "[XXXXX564]": 50703,
+  "[XXXXX565]": 50989,
+  "[XXXXX566]": 50877,
+  "[XXXXX567]": 51039,
+  "[XXXXX568]": 51018,
+  "[XXXXX569]": 50452,
+  "[XXXXX56]": 51099,
+  "[XXXXX570]": 50161,
+  "[XXXXX571]": 50921,
+  "[XXXXX572]": 50676,
+  "[XXXXX573]": 50326,
+  "[XXXXX574]": 50987,
+  "[XXXXX575]": 50361,
+  "[XXXXX576]": 50071,
+  "[XXXXX577]": 50803,
+  "[XXXXX578]": 50400,
+  "[XXXXX579]": 51091,
+  "[XXXXX57]": 50501,
+  "[XXXXX580]": 50887,
+  "[XXXXX581]": 50839,
+  "[XXXXX582]": 51138,
+  "[XXXXX583]": 50816,
+  "[XXXXX584]": 50339,
+  "[XXXXX585]": 50463,
+  "[XXXXX586]": 50399,
+  "[XXXXX587]": 51070,
+  "[XXXXX588]": 50457,
+  "[XXXXX589]": 50828,
+  "[XXXXX58]": 50183,
+  "[XXXXX590]": 50080,
+  "[XXXXX591]": 50550,
+  "[XXXXX592]": 50129,
+  "[XXXXX593]": 50273,
+  "[XXXXX594]": 50388,
+  "[XXXXX595]": 50491,
+  "[XXXXX596]": 50278,
+  "[XXXXX597]": 50011,
+  "[XXXXX598]": 50254,
+  "[XXXXX599]": 50302,
+  "[XXXXX59]": 50353,
+  "[XXXXX5]": 50010,
+  "[XXXXX600]": 50704,
+  "[XXXXX601]": 51118,
+  "[XXXXX602]": 50049,
+  "[XXXXX603]": 51190,
+  "[XXXXX604]": 51142,
+  "[XXXXX605]": 50707,
+  "[XXXXX606]": 50937,
+  "[XXXXX607]": 50875,
+  "[XXXXX608]": 50564,
+  "[XXXXX609]": 50345,
+  "[XXXXX60]": 50713,
+  "[XXXXX610]": 50949,
+  "[XXXXX611]": 50978,
+  "[XXXXX612]": 50330,
+  "[XXXXX613]": 51035,
+  "[XXXXX614]": 50402,
+  "[XXXXX615]": 50176,
+  "[XXXXX616]": 51133,
+  "[XXXXX617]": 50222,
+  "[XXXXX618]": 50118,
+  "[XXXXX619]": 50196,
+  "[XXXXX61]": 50298,
+  "[XXXXX620]": 50668,
+  "[XXXXX621]": 50462,
+  "[XXXXX622]": 50218,
+  "[XXXXX623]": 51101,
+  "[XXXXX624]": 50362,
+  "[XXXXX625]": 50779,
+  "[XXXXX626]": 50513,
+  "[XXXXX627]": 50746,
+  "[XXXXX628]": 50141,
+  "[XXXXX629]": 50479,
+  "[XXXXX62]": 50056,
+  "[XXXXX630]": 51180,
+  "[XXXXX631]": 50872,
+  "[XXXXX632]": 50315,
+  "[XXXXX633]": 50397,
+  "[XXXXX634]": 51165,
+  "[XXXXX635]": 50046,
+  "[XXXXX636]": 50795,
+  "[XXXXX637]": 50959,
+  "[XXXXX638]": 50786,
+  "[XXXXX639]": 50240,
+  "[XXXXX63]": 51061,
+  "[XXXXX640]": 50601,
+  "[XXXXX641]": 50904,
+  "[XXXXX642]": 50376,
+  "[XXXXX643]": 50663,
+  "[XXXXX644]": 50613,
+  "[XXXXX645]": 50467,
+  "[XXXXX646]": 50546,
+  "[XXXXX647]": 50465,
+  "[XXXXX648]": 50395,
+  "[XXXXX649]": 50287,
+  "[XXXXX64]": 51162,
+  "[XXXXX650]": 50474,
+  "[XXXXX651]": 50727,
+  "[XXXXX652]": 50243,
+  "[XXXXX653]": 51100,
+  "[XXXXX654]": 50705,
+  "[XXXXX655]": 51012,
+  "[XXXXX656]": 50447,
+  "[XXXXX657]": 50719,
+  "[XXXXX658]": 50712,
+  "[XXXXX659]": 50476,
+  "[XXXXX65]": 50587,
+  "[XXXXX660]": 51054,
+  "[XXXXX661]": 51166,
+  "[XXXXX662]": 50494,
+  "[XXXXX663]": 50230,
+  "[XXXXX664]": 50621,
+  "[XXXXX665]": 50809,
+  "[XXXXX666]": 50265,
+  "[XXXXX667]": 50645,
+  "[XXXXX668]": 50817,
+  "[XXXXX669]": 50030,
+  "[XXXXX66]": 51029,
+  "[XXXXX670]": 51004,
+  "[XXXXX671]": 50685,
+  "[XXXXX672]": 50625,
+  "[XXXXX673]": 50890,
+  "[XXXXX674]": 50383,
+  "[XXXXX675]": 50929,
+  "[XXXXX676]": 50116,
+  "[XXXXX677]": 51072,
+  "[XXXXX678]": 51126,
+  "[XXXXX679]": 50755,
+  "[XXXXX67]": 50717,
+  "[XXXXX680]": 50303,
+  "[XXXXX681]": 50504,
+  "[XXXXX682]": 51075,
+  "[XXXXX683]": 50261,
+  "[XXXXX684]": 50861,
+  "[XXXXX685]": 50306,
+  "[XXXXX686]": 50016,
+  "[XXXXX687]": 50101,
+  "[XXXXX688]": 51098,
+  "[XXXXX689]": 50827,
+  "[XXXXX68]": 50863,
+  "[XXXXX690]": 50640,
+  "[XXXXX691]": 50031,
+  "[XXXXX692]": 50768,
+  "[XXXXX693]": 50013,
+  "[XXXXX694]": 51032,
+  "[XXXXX695]": 50166,
+  "[XXXXX696]": 50127,
+  "[XXXXX697]": 50414,
+  "[XXXXX698]": 50742,
+  "[XXXXX699]": 51042,
+  "[XXXXX69]": 51112,
+  "[XXXXX6]": 50593,
+  "[XXXXX700]": 50292,
+  "[XXXXX701]": 50174,
+  "[XXXXX702]": 50547,
+  "[XXXXX703]": 50498,
+  "[XXXXX704]": 51078,
+  "[XXXXX705]": 50133,
+  "[XXXXX706]": 50041,
+  "[XXXXX707]": 51181,
+  "[XXXXX708]": 50585,
+  "[XXXXX709]": 50776,
+  "[XXXXX70]": 50053,
+  "[XXXXX710]": 50336,
+  "[XXXXX711]": 50765,
+  "[XXXXX712]": 50224,
+  "[XXXXX713]": 50599,
+  "[XXXXX714]": 50207,
+  "[XXXXX715]": 51043,
+  "[XXXXX716]": 51090,
+  "[XXXXX717]": 50006,
+  "[XXXXX718]": 50901,
+  "[XXXXX719]": 51001,
+  "[XXXXX71]": 50954,
+  "[XXXXX720]": 50646,
+  "[XXXXX721]": 50075,
+  "[XXXXX722]": 51120,
+  "[XXXXX723]": 50215,
+  "[XXXXX724]": 50415,
+  "[XXXXX725]": 50154,
+  "[XXXXX726]": 50935,
+  "[XXXXX727]": 50545,
+  "[XXXXX728]": 51085,
+  "[XXXXX729]": 50256,
+  "[XXXXX72]": 50363,
+  "[XXXXX730]": 50700,
+  "[XXXXX731]": 50262,
+  "[XXXXX732]": 50930,
+  "[XXXXX733]": 50333,
+  "[XXXXX734]": 50884,
+  "[XXXXX735]": 51030,
+  "[XXXXX736]": 50231,
+  "[XXXXX737]": 50405,
+  "[XXXXX738]": 50962,
+  "[XXXXX739]": 50458,
+  "[XXXXX73]": 50019,
+  "[XXXXX740]": 50878,
+  "[XXXXX741]": 50910,
+  "[XXXXX742]": 50170,
+  "[XXXXX743]": 50718,
+  "[XXXXX744]": 50616,
+  "[XXXXX745]": 50358,
+  "[XXXXX746]": 50152,
+  "[XXXXX747]": 50525,
+  "[XXXXX748]": 51167,
+  "[XXXXX749]": 50653,
+  "[XXXXX74]": 50952,
+  "[XXXXX750]": 50500,
+  "[XXXXX751]": 50446,
+  "[XXXXX752]": 50995,
+  "[XXXXX753]": 50945,
+  "[XXXXX754]": 51173,
+  "[XXXXX755]": 50823,
+  "[XXXXX756]": 51060,
+  "[XXXXX757]": 50748,
+  "[XXXXX758]": 50020,
+  "[XXXXX759]": 50197,
+  "[XXXXX75]": 50502,
+  "[XXXXX760]": 50291,
+  "[XXXXX761]": 50821,
+  "[XXXXX762]": 50190,
+  "[XXXXX763]": 50745,
+  "[XXXXX764]": 50778,
+  "[XXXXX765]": 50556,
+  "[XXXXX766]": 51161,
+  "[XXXXX767]": 50466,
+  "[XXXXX768]": 50792,
+  "[XXXXX769]": 50208,
+  "[XXXXX76]": 50169,
+  "[XXXXX770]": 50647,
+  "[XXXXX771]": 50610,
+  "[XXXXX772]": 51140,
+  "[XXXXX773]": 50441,
+  "[XXXXX774]": 50870,
+  "[XXXXX775]": 50368,
+  "[XXXXX776]": 50026,
+  "[XXXXX777]": 50677,
+  "[XXXXX778]": 51168,
+  "[XXXXX779]": 50481,
+  "[XXXXX77]": 50515,
+  "[XXXXX780]": 50225,
+  "[XXXXX781]": 50408,
+  "[XXXXX782]": 50090,
+  "[XXXXX783]": 50951,
+  "[XXXXX784]": 50015,
+  "[XXXXX785]": 50658,
+  "[XXXXX786]": 50617,
+  "[XXXXX787]": 50721,
+  "[XXXXX788]": 51084,
+  "[XXXXX789]": 50830,
+  "[XXXXX78]": 50100,
+  "[XXXXX790]": 50606,
+  "[XXXXX791]": 50124,
+  "[XXXXX792]": 50078,
+  "[XXXXX793]": 51188,
+  "[XXXXX794]": 50750,
+  "[XXXXX795]": 50138,
+  "[XXXXX796]": 50239,
+  "[XXXXX797]": 50385,
+  "[XXXXX798]": 50780,
+  "[XXXXX799]": 50683,
+  "[XXXXX79]": 50436,
+  "[XXXXX7]": 50211,
+  "[XXXXX800]": 51185,
+  "[XXXXX801]": 50250,
+  "[XXXXX802]": 50456,
+  "[XXXXX803]": 50508,
+  "[XXXXX804]": 51194,
+  "[XXXXX805]": 50021,
+  "[XXXXX806]": 50307,
+  "[XXXXX807]": 50199,
+  "[XXXXX808]": 51129,
+  "[XXXXX809]": 50686,
+  "[XXXXX80]": 50370,
+  "[XXXXX810]": 50343,
+  "[XXXXX811]": 50614,
+  "[XXXXX812]": 50636,
+  "[XXXXX813]": 51198,
+  "[XXXXX814]": 50788,
+  "[XXXXX815]": 50120,
+  "[XXXXX816]": 50135,
+  "[XXXXX817]": 50293,
+  "[XXXXX818]": 50153,
+  "[XXXXX819]": 50516,
+  "[XXXXX81]": 50581,
+  "[XXXXX820]": 50586,
+  "[XXXXX821]": 50509,
+  "[XXXXX822]": 50220,
+  "[XXXXX823]": 51068,
+  "[XXXXX824]": 50946,
+  "[XXXXX825]": 50965,
+  "[XXXXX826]": 50032,
+  "[XXXXX827]": 50156,
+  "[XXXXX828]": 50449,
+  "[XXXXX829]": 50531,
+  "[XXXXX82]": 51164,
+  "[XXXXX830]": 50486,
+  "[XXXXX831]": 50357,
+  "[XXXXX832]": 51022,
+  "[XXXXX833]": 50633,
+  "[XXXXX834]": 50754,
+  "[XXXXX835]": 51134,
+  "[XXXXX836]": 50193,
+  "[XXXXX837]": 51088,
+  "[XXXXX838]": 50722,
+  "[XXXXX839]": 50756,
+  "[XXXXX83]": 50977,
+  "[XXXXX840]": 50022,
+  "[XXXXX841]": 51186,
+  "[XXXXX842]": 50575,
+  "[XXXXX843]": 50079,
+  "[XXXXX844]": 50644,
+  "[XXXXX845]": 51033,
+  "[XXXXX846]": 50454,
+  "[XXXXX847]": 50095,
+  "[XXXXX848]": 50902,
+  "[XXXXX849]": 50597,
+  "[XXXXX84]": 50167,
+  "[XXXXX850]": 51051,
+  "[XXXXX851]": 50696,
+  "[XXXXX852]": 50966,
+  "[XXXXX853]": 50034,
+  "[XXXXX854]": 50889,
+  "[XXXXX855]": 50843,
+  "[XXXXX856]": 50963,
+  "[XXXXX857]": 50227,
+  "[XXXXX858]": 51058,
+  "[XXXXX859]": 50850,
+  "[XXXXX85]": 50192,
+  "[XXXXX860]": 50228,
+  "[XXXXX861]": 50570,
+  "[XXXXX862]": 50488,
+  "[XXXXX863]": 50539,
+  "[XXXXX864]": 51182,
+  "[XXXXX865]": 50990,
+  "[XXXXX866]": 50542,
+  "[XXXXX867]": 51069,
+  "[XXXXX868]": 50480,
+  "[XXXXX869]": 50847,
+  "[XXXXX86]": 50874,
+  "[XXXXX870]": 50308,
+  "[XXXXX871]": 50510,
+  "[XXXXX872]": 50423,
+  "[XXXXX873]": 50086,
+  "[XXXXX874]": 50591,
+  "[XXXXX875]": 50728,
+  "[XXXXX876]": 50372,
+  "[XXXXX877]": 50903,
+  "[XXXXX878]": 50868,
+  "[XXXXX879]": 50763,
+  "[XXXXX87]": 50571,
+  "[XXXXX880]": 50096,
+  "[XXXXX881]": 51150,
+  "[XXXXX882]": 50460,
+  "[XXXXX883]": 51087,
+  "[XXXXX884]": 51093,
+  "[XXXXX885]": 50295,
+  "[XXXXX886]": 51037,
+  "[XXXXX887]": 51171,
+  "[XXXXX888]": 50794,
+  "[XXXXX889]": 50628,
+  "[XXXXX88]": 50520,
+  "[XXXXX890]": 51172,
+  "[XXXXX891]": 51046,
+  "[XXXXX892]": 50918,
+  "[XXXXX893]": 50998,
+  "[XXXXX894]": 50371,
+  "[XXXXX895]": 51155,
+  "[XXXXX896]": 50866,
+  "[XXXXX897]": 50229,
+  "[XXXXX898]": 51057,
+  "[XXXXX899]": 50867,
+  "[XXXXX89]": 50537,
+  "[XXXXX8]": 50784,
+  "[XXXXX900]": 50739,
+  "[XXXXX901]": 51080,
+  "[XXXXX902]": 50038,
+  "[XXXXX903]": 50321,
+  "[XXXXX904]": 50774,
+  "[XXXXX905]": 50974,
+  "[XXXXX906]": 50920,
+  "[XXXXX907]": 50469,
+  "[XXXXX908]": 51122,
+  "[XXXXX909]": 51092,
+  "[XXXXX90]": 50514,
+  "[XXXXX910]": 50798,
+  "[XXXXX911]": 50245,
+  "[XXXXX912]": 50367,
+  "[XXXXX913]": 50618,
+  "[XXXXX914]": 50072,
+  "[XXXXX915]": 50450,
+  "[XXXXX916]": 51189,
+  "[XXXXX917]": 50485,
+  "[XXXXX918]": 50283,
+  "[XXXXX919]": 50845,
+  "[XXXXX91]": 50968,
+  "[XXXXX920]": 50429,
+  "[XXXXX921]": 50364,
+  "[XXXXX922]": 50782,
+  "[XXXXX923]": 50534,
+  "[XXXXX924]": 50059,
+  "[XXXXX925]": 50102,
+  "[XXXXX926]": 50185,
+  "[XXXXX927]": 50634,
+  "[XXXXX928]": 50567,
+  "[XXXXX929]": 50895,
+  "[XXXXX92]": 50210,
+  "[XXXXX930]": 50561,
+  "[XXXXX931]": 51021,
+  "[XXXXX932]": 50107,
+  "[XXXXX933]": 50407,
+  "[XXXXX934]": 50654,
+  "[XXXXX935]": 50268,
+  "[XXXXX936]": 51153,
+  "[XXXXX937]": 50552,
+  "[XXXXX938]": 50526,
+  "[XXXXX939]": 50322,
+  "[XXXXX93]": 50912,
+  "[XXXXX940]": 50296,
+  "[XXXXX941]": 50572,
+  "[XXXXX942]": 50393,
+  "[XXXXX943]": 50312,
+  "[XXXXX944]": 50592,
+  "[XXXXX945]": 50982,
+  "[XXXXX946]": 50089,
+  "[XXXXX947]": 50331,
+  "[XXXXX948]": 50279,
+  "[XXXXX949]": 51005,
+  "[XXXXX94]": 50198,
+  "[XXXXX950]": 50114,
+  "[XXXXX951]": 50074,
+  "[XXXXX952]": 50248,
+  "[XXXXX953]": 50857,
+  "[XXXXX954]": 50841,
+  "[XXXXX955]": 51065,
+  "[XXXXX956]": 50234,
+  "[XXXXX957]": 50834,
+  "[XXXXX958]": 50535,
+  "[XXXXX959]": 51109,
+  "[XXXXX95]": 50651,
+  "[XXXXX960]": 50797,
+  "[XXXXX961]": 50914,
+  "[XXXXX962]": 50112,
+  "[XXXXX963]": 50073,
+  "[XXXXX964]": 50559,
+  "[XXXXX965]": 50933,
+  "[XXXXX966]": 50619,
+  "[XXXXX967]": 51187,
+  "[XXXXX968]": 50327,
+  "[XXXXX969]": 50698,
+  "[XXXXX96]": 50420,
+  "[XXXXX970]": 50060,
+  "[XXXXX971]": 50432,
+  "[XXXXX972]": 50620,
+  "[XXXXX973]": 50693,
+  "[XXXXX974]": 50938,
+  "[XXXXX975]": 50983,
+  "[XXXXX976]": 50334,
+  "[XXXXX977]": 50438,
+  "[XXXXX978]": 51154,
+  "[XXXXX979]": 50964,
+  "[XXXXX97]": 50672,
+  "[XXXXX980]": 50511,
+  "[XXXXX981]": 50244,
+  "[XXXXX982]": 50266,
+  "[XXXXX983]": 50134,
+  "[XXXXX984]": 50338,
+  "[XXXXX985]": 51121,
+  "[XXXXX986]": 50323,
+  "[XXXXX987]": 50909,
+  "[XXXXX988]": 51000,
+  "[XXXXX989]": 50036,
+  "[XXXXX98]": 50787,
+  "[XXXXX990]": 50512,
+  "[XXXXX991]": 50191,
+  "[XXXXX992]": 50187,
+  "[XXXXX993]": 51156,
+  "[XXXXX994]": 51135,
+  "[XXXXX995]": 50355,
+  "[XXXXX996]": 51027,
+  "[XXXXX997]": 50297,
+  "[XXXXX998]": 50928,
+  "[XXXXX999]": 50697,
+  "[XXXXX99]": 50980,
+  "[XXXXX9]": 50961
+}
diff --git a/checkpoint-8500/config.json b/checkpoint-8500/config.json
new file mode 100644
index 0000000..000c292
--- /dev/null
+++ b/checkpoint-8500/config.json
@@ -0,0 +1,34 @@
+{
+  "activation_function": "gelu",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50000,
+  "dtype": "bfloat16",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50001,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 512,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": 3072,
+  "n_layer": 12,
+  "n_positions": 512,
+  "pad_token_id": 50002,
+  "prefix": "[CLS]",
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "vocab_size": 51200
+}
diff --git a/checkpoint-8500/generation_config.json b/checkpoint-8500/generation_config.json
new file mode 100644
index 0000000..4c122f0
--- /dev/null
+++ b/checkpoint-8500/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50000,
+  "eos_token_id": [
+    50001
+  ],
+  "pad_token_id": 50002,
+  "transformers_version": "4.56.2"
+}
diff --git a/checkpoint-8500/model.safetensors b/checkpoint-8500/model.safetensors
new file mode 100644
index 0000000..8f47f79
--- /dev/null
+++ b/checkpoint-8500/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0a1e917da96eda9f837905c4a226a0a7a62a1bdafa1203c90526ebdb6c531752
+size 249556672
diff --git a/checkpoint-8500/rng_state.pth b/checkpoint-8500/rng_state.pth
new file mode 100644
index 0000000..2cc318d
--- /dev/null
+++ b/checkpoint-8500/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:80c09552717144276e30b6eb8765defd1a3a4389bb57931b6ac79b7d59b70901
+size 14645
diff --git a/checkpoint-8500/special_tokens_map.json b/checkpoint-8500/special_tokens_map.json
new file mode 100644
index 0000000..c78a835
--- /dev/null
+++ b/checkpoint-8500/special_tokens_map.json
@@ -0,0 +1,1249 @@
+{
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/checkpoint-8500/spiece.model b/checkpoint-8500/spiece.model
new file mode 100644
index 0000000..85d6e93
--- /dev/null
+++ b/checkpoint-8500/spiece.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:762a1e078899c6ba7ef62ef873a57b860c51cc0518791854659b58b4c89742fe
+size 1170764
diff --git a/checkpoint-8500/tokenizer_config.json b/checkpoint-8500/tokenizer_config.json
new file mode 100644
index 0000000..b27d01f
--- /dev/null
+++ b/checkpoint-8500/tokenizer_config.json
@@ -0,0 +1,10825 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50000": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50001": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50002": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50003": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50004": {
+      "content": "[XXXXX160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50005": {
+      "content": "[XXXXX240]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50006": {
+      "content": "[XXXXX717]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50007": {
+      "content": "[XXXXX23]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50008": {
+      "content": "[XXXXX161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50009": {
+      "content": "[XXXXX1156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50010": {
+      "content": "[XXXXX5]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50011": {
+      "content": "[XXXXX597]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50012": {
+      "content": "[XXXXX415]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50013": {
+      "content": "[XXXXX693]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50014": {
+      "content": "[XXXXX1083]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50015": {
+      "content": "[XXXXX784]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50016": {
+      "content": "[XXXXX686]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50017": {
+      "content": "[XXXXX379]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50018": {
+      "content": "[XXXXX335]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50019": {
+      "content": "[XXXXX73]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50020": {
+      "content": "[XXXXX758]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50021": {
+      "content": "[XXXXX805]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50022": {
+      "content": "[XXXXX840]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50023": {
+      "content": "[XXXXX1037]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50024": {
+      "content": "[XXXXX235]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50025": {
+      "content": "[XXXXX1107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50026": {
+      "content": "[XXXXX776]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50027": {
+      "content": "[XXXXX286]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50028": {
+      "content": "[XXXXX396]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50029": {
+      "content": "[XXXXX478]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50030": {
+      "content": "[XXXXX669]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50031": {
+      "content": "[XXXXX691]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50032": {
+      "content": "[XXXXX826]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50033": {
+      "content": "[XXXXX1150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50034": {
+      "content": "[XXXXX853]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50035": {
+      "content": "[XXXXX130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50036": {
+      "content": "[XXXXX989]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50037": {
+      "content": "[XXXXX249]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50038": {
+      "content": "[XXXXX902]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50039": {
+      "content": "[XXXXX1169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50040": {
+      "content": "[XXXXX260]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50041": {
+      "content": "[XXXXX706]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50042": {
+      "content": "[XXXXX146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50043": {
+      "content": "[XXXXX198]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50044": {
+      "content": "[XXXXX303]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50045": {
+      "content": "[XXXXX1192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50046": {
+      "content": "[XXXXX635]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50047": {
+      "content": "[XXXXX271]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50048": {
+      "content": "[XXXXX1023]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50049": {
+      "content": "[XXXXX602]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50050": {
+      "content": "[XXXXX291]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50051": {
+      "content": "[XXXXX190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50052": {
+      "content": "[XXXXX1055]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50053": {
+      "content": "[XXXXX70]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50054": {
+      "content": "[XXXXX178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50055": {
+      "content": "[XXXXX318]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50056": {
+      "content": "[XXXXX62]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50057": {
+      "content": "[XXXXX473]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50058": {
+      "content": "[XXXXX517]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50059": {
+      "content": "[XXXXX924]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50060": {
+      "content": "[XXXXX970]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50061": {
+      "content": "[XXXXX1033]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50062": {
+      "content": "[XXXXX110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50063": {
+      "content": "[XXXXX1151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50064": {
+      "content": "[XXXXX1189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50065": {
+      "content": "[XXXXX1095]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50066": {
+      "content": "[XXXXX148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50067": {
+      "content": "[XXXXX337]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50068": {
+      "content": "[XXXXX245]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50069": {
+      "content": "[XXXXX407]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50070": {
+      "content": "[XXXXX557]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50071": {
+      "content": "[XXXXX576]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50072": {
+      "content": "[XXXXX914]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50073": {
+      "content": "[XXXXX963]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50074": {
+      "content": "[XXXXX951]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50075": {
+      "content": "[XXXXX721]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50076": {
+      "content": "[XXXXX1174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50077": {
+      "content": "[XXXXX3]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50078": {
+      "content": "[XXXXX792]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50079": {
+      "content": "[XXXXX843]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50080": {
+      "content": "[XXXXX590]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50081": {
+      "content": "[XXXXX118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50082": {
+      "content": "[XXXXX280]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50083": {
+      "content": "[XXXXX1119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50084": {
+      "content": "[XXXXX1025]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50085": {
+      "content": "[XXXXX140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50086": {
+      "content": "[XXXXX873]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50087": {
+      "content": "[XXXXX103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50088": {
+      "content": "[XXXXX307]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50089": {
+      "content": "[XXXXX946]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50090": {
+      "content": "[XXXXX782]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50091": {
+      "content": "[XXXXX100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50092": {
+      "content": "[XXXXX485]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50093": {
+      "content": "[XXXXX151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50094": {
+      "content": "[XXXXX213]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50095": {
+      "content": "[XXXXX847]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50096": {
+      "content": "[XXXXX880]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50097": {
+      "content": "[XXXXX44]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50098": {
+      "content": "[XXXXX1031]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50099": {
+      "content": "[XXXXX545]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50100": {
+      "content": "[XXXXX78]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50101": {
+      "content": "[XXXXX687]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50102": {
+      "content": "[XXXXX925]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50103": {
+      "content": "[XXXXX519]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50104": {
+      "content": "[XXXXX1191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50105": {
+      "content": "[XXXXX13]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50106": {
+      "content": "[XXXXX487]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50107": {
+      "content": "[XXXXX932]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50108": {
+      "content": "[XXXXX119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50109": {
+      "content": "[XXXXX170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50110": {
+      "content": "[XXXXX254]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50111": {
+      "content": "[XXXXX420]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50112": {
+      "content": "[XXXXX962]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50113": {
+      "content": "[XXXXX441]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50114": {
+      "content": "[XXXXX950]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50115": {
+      "content": "[XXXXX18]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50116": {
+      "content": "[XXXXX676]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50117": {
+      "content": "[XXXXX1133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50118": {
+      "content": "[XXXXX618]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50119": {
+      "content": "[XXXXX374]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50120": {
+      "content": "[XXXXX815]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50121": {
+      "content": "[XXXXX1058]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50122": {
+      "content": "[XXXXX1108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50123": {
+      "content": "[XXXXX1144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50124": {
+      "content": "[XXXXX791]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50125": {
+      "content": "[XXXXX259]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50126": {
+      "content": "[XXXXX1074]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50127": {
+      "content": "[XXXXX696]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50128": {
+      "content": "[XXXXX1168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50129": {
+      "content": "[XXXXX592]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50130": {
+      "content": "[XXXXX127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50131": {
+      "content": "[XXXXX136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50132": {
+      "content": "[XXXXX237]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50133": {
+      "content": "[XXXXX705]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50134": {
+      "content": "[XXXXX983]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50135": {
+      "content": "[XXXXX816]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50136": {
+      "content": "[XXXXX412]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50137": {
+      "content": "[XXXXX410]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50138": {
+      "content": "[XXXXX795]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50139": {
+      "content": "[XXXXX101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50140": {
+      "content": "[XXXXX171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50141": {
+      "content": "[XXXXX628]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50142": {
+      "content": "[XXXXX1038]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50143": {
+      "content": "[XXXXX447]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50144": {
+      "content": "[XXXXX1043]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50145": {
+      "content": "[XXXXX147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50146": {
+      "content": "[XXXXX1112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50147": {
+      "content": "[XXXXX186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50148": {
+      "content": "[XXXXX461]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50149": {
+      "content": "[XXXXX423]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50150": {
+      "content": "[XXXXX26]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50151": {
+      "content": "[XXXXX227]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50152": {
+      "content": "[XXXXX746]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50153": {
+      "content": "[XXXXX818]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50154": {
+      "content": "[XXXXX725]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50155": {
+      "content": "[XXXXX400]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50156": {
+      "content": "[XXXXX827]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50157": {
+      "content": "[XXXXX1020]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50158": {
+      "content": "[XXXXX1060]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50159": {
+      "content": "[XXXXX195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50160": {
+      "content": "[XXXXX526]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50161": {
+      "content": "[XXXXX570]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50162": {
+      "content": "[XXXXX174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50163": {
+      "content": "[XXXXX333]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50164": {
+      "content": "[XXXXX466]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50165": {
+      "content": "[XXXXX513]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50166": {
+      "content": "[XXXXX695]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50167": {
+      "content": "[XXXXX84]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50168": {
+      "content": "[XXXXX1080]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50169": {
+      "content": "[XXXXX76]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50170": {
+      "content": "[XXXXX742]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50171": {
+      "content": "[XXXXX1008]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50172": {
+      "content": "[XXXXX1123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50173": {
+      "content": "[XXXXX1145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50174": {
+      "content": "[XXXXX701]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50175": {
+      "content": "[XXXXX562]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50176": {
+      "content": "[XXXXX615]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50177": {
+      "content": "[XXXXX389]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50178": {
+      "content": "[XXXXX267]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50179": {
+      "content": "[XXXXX323]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50180": {
+      "content": "[XXXXX346]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50181": {
+      "content": "[XXXXX287]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50182": {
+      "content": "[XXXXX469]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50183": {
+      "content": "[XXXXX58]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50184": {
+      "content": "[XXXXX431]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50185": {
+      "content": "[XXXXX926]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50186": {
+      "content": "[XXXXX1182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50187": {
+      "content": "[XXXXX992]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50188": {
+      "content": "[XXXXX185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50189": {
+      "content": "[XXXXX352]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50190": {
+      "content": "[XXXXX762]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50191": {
+      "content": "[XXXXX991]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50192": {
+      "content": "[XXXXX85]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50193": {
+      "content": "[XXXXX836]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50194": {
+      "content": "[XXXXX460]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50195": {
+      "content": "[XXXXX272]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50196": {
+      "content": "[XXXXX619]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50197": {
+      "content": "[XXXXX759]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50198": {
+      "content": "[XXXXX94]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50199": {
+      "content": "[XXXXX807]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50200": {
+      "content": "[XXXXX299]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50201": {
+      "content": "[XXXXX187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50202": {
+      "content": "[XXXXX486]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50203": {
+      "content": "[XXXXX45]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50204": {
+      "content": "[XXXXX1036]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50205": {
+      "content": "[XXXXX354]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50206": {
+      "content": "[XXXXX386]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50207": {
+      "content": "[XXXXX714]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50208": {
+      "content": "[XXXXX769]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50209": {
+      "content": "[XXXXX304]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50210": {
+      "content": "[XXXXX92]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50211": {
+      "content": "[XXXXX7]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50212": {
+      "content": "[XXXXX31]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50213": {
+      "content": "[XXXXX102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50214": {
+      "content": "[XXXXX163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50215": {
+      "content": "[XXXXX723]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50216": {
+      "content": "[XXXXX1042]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50217": {
+      "content": "[XXXXX452]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50218": {
+      "content": "[XXXXX622]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50219": {
+      "content": "[XXXXX1056]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50220": {
+      "content": "[XXXXX822]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50221": {
+      "content": "[XXXXX125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50222": {
+      "content": "[XXXXX617]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50223": {
+      "content": "[XXXXX34]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50224": {
+      "content": "[XXXXX712]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50225": {
+      "content": "[XXXXX780]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50226": {
+      "content": "[XXXXX547]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50227": {
+      "content": "[XXXXX857]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50228": {
+      "content": "[XXXXX860]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50229": {
+      "content": "[XXXXX897]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50230": {
+      "content": "[XXXXX663]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50231": {
+      "content": "[XXXXX736]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50232": {
+      "content": "[XXXXX202]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50233": {
+      "content": "[XXXXX1029]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50234": {
+      "content": "[XXXXX956]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50235": {
+      "content": "[XXXXX397]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50236": {
+      "content": "[XXXXX239]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50237": {
+      "content": "[XXXXX472]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50238": {
+      "content": "[XXXXX230]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50239": {
+      "content": "[XXXXX796]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50240": {
+      "content": "[XXXXX639]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50241": {
+      "content": "[XXXXX203]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50242": {
+      "content": "[XXXXX231]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50243": {
+      "content": "[XXXXX652]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50244": {
+      "content": "[XXXXX981]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50245": {
+      "content": "[XXXXX911]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50246": {
+      "content": "[XXXXX380]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50247": {
+      "content": "[XXXXX477]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50248": {
+      "content": "[XXXXX952]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50249": {
+      "content": "[XXXXX28]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50250": {
+      "content": "[XXXXX801]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50251": {
+      "content": "[XXXXX1134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50252": {
+      "content": "[XXXXX1176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50253": {
+      "content": "[XXXXX180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50254": {
+      "content": "[XXXXX598]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50255": {
+      "content": "[XXXXX365]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50256": {
+      "content": "[XXXXX729]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50257": {
+      "content": "[XXXXX214]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50258": {
+      "content": "[XXXXX1117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50259": {
+      "content": "[XXXXX278]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50260": {
+      "content": "[XXXXX522]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50261": {
+      "content": "[XXXXX683]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50262": {
+      "content": "[XXXXX731]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50263": {
+      "content": "[XXXXX312]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "[XXXXX1178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50265": {
+      "content": "[XXXXX666]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50266": {
+      "content": "[XXXXX982]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50267": {
+      "content": "[XXXXX414]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50268": {
+      "content": "[XXXXX935]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50269": {
+      "content": "[XXXXX1089]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50270": {
+      "content": "[XXXXX236]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50271": {
+      "content": "[XXXXX463]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50272": {
+      "content": "[XXXXX52]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50273": {
+      "content": "[XXXXX593]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50274": {
+      "content": "[XXXXX508]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50275": {
+      "content": "[XXXXX1125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50276": {
+      "content": "[XXXXX462]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50277": {
+      "content": "[XXXXX32]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50278": {
+      "content": "[XXXXX596]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50279": {
+      "content": "[XXXXX948]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50280": {
+      "content": "[XXXXX150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50281": {
+      "content": "[XXXXX322]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50282": {
+      "content": "[XXXXX390]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50283": {
+      "content": "[XXXXX918]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50284": {
+      "content": "[XXXXX157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50285": {
+      "content": "[XXXXX310]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50286": {
+      "content": "[XXXXX392]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50287": {
+      "content": "[XXXXX649]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50288": {
+      "content": "[XXXXX158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50289": {
+      "content": "[XXXXX430]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50290": {
+      "content": "[XXXXX384]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50291": {
+      "content": "[XXXXX760]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50292": {
+      "content": "[XXXXX700]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50293": {
+      "content": "[XXXXX817]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50294": {
+      "content": "[XXXXX115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50295": {
+      "content": "[XXXXX885]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50296": {
+      "content": "[XXXXX940]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50297": {
+      "content": "[XXXXX997]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50298": {
+      "content": "[XXXXX61]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50299": {
+      "content": "[XXXXX209]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50300": {
+      "content": "[XXXXX316]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50301": {
+      "content": "[XXXXX537]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50302": {
+      "content": "[XXXXX599]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50303": {
+      "content": "[XXXXX680]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50304": {
+      "content": "[XXXXX135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50305": {
+      "content": "[XXXXX39]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50306": {
+      "content": "[XXXXX685]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50307": {
+      "content": "[XXXXX806]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50308": {
+      "content": "[XXXXX870]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50309": {
+      "content": "[XXXXX1096]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50310": {
+      "content": "[XXXXX366]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50311": {
+      "content": "[XXXXX509]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50312": {
+      "content": "[XXXXX943]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50313": {
+      "content": "[XXXXX292]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50314": {
+      "content": "[XXXXX367]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50315": {
+      "content": "[XXXXX632]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50316": {
+      "content": "[XXXXX1136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50317": {
+      "content": "[XXXXX156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50318": {
+      "content": "[XXXXX1100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50319": {
+      "content": "[XXXXX432]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50320": {
+      "content": "[XXXXX514]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50321": {
+      "content": "[XXXXX903]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50322": {
+      "content": "[XXXXX939]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50323": {
+      "content": "[XXXXX986]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50324": {
+      "content": "[XXXXX506]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50325": {
+      "content": "[XXXXX10]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50326": {
+      "content": "[XXXXX573]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50327": {
+      "content": "[XXXXX968]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50328": {
+      "content": "[XXXXX1039]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50329": {
+      "content": "[XXXXX252]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50330": {
+      "content": "[XXXXX612]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50331": {
+      "content": "[XXXXX947]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50332": {
+      "content": "[XXXXX1162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50333": {
+      "content": "[XXXXX733]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50334": {
+      "content": "[XXXXX976]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50335": {
+      "content": "[XXXXX535]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50336": {
+      "content": "[XXXXX710]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50337": {
+      "content": "[XXXXX40]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50338": {
+      "content": "[XXXXX984]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50339": {
+      "content": "[XXXXX584]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50340": {
+      "content": "[XXXXX132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50341": {
+      "content": "[XXXXX1084]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50342": {
+      "content": "[XXXXX549]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50343": {
+      "content": "[XXXXX810]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50344": {
+      "content": "[XXXXX208]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50345": {
+      "content": "[XXXXX609]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50346": {
+      "content": "[XXXXX275]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50347": {
+      "content": "[XXXXX262]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50348": {
+      "content": "[XXXXX331]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50349": {
+      "content": "[XXXXX361]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50350": {
+      "content": "[XXXXX561]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50351": {
+      "content": "[XXXXX143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50352": {
+      "content": "[XXXXX1061]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50353": {
+      "content": "[XXXXX59]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50354": {
+      "content": "[XXXXX21]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50355": {
+      "content": "[XXXXX995]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50356": {
+      "content": "[XXXXX439]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50357": {
+      "content": "[XXXXX831]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50358": {
+      "content": "[XXXXX745]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50359": {
+      "content": "[XXXXX43]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50360": {
+      "content": "[XXXXX498]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50361": {
+      "content": "[XXXXX575]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50362": {
+      "content": "[XXXXX624]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50363": {
+      "content": "[XXXXX72]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50364": {
+      "content": "[XXXXX921]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50365": {
+      "content": "[XXXXX201]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50366": {
+      "content": "[XXXXX1171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50367": {
+      "content": "[XXXXX912]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50368": {
+      "content": "[XXXXX775]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50369": {
+      "content": "[XXXXX1094]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50370": {
+      "content": "[XXXXX80]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50371": {
+      "content": "[XXXXX894]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50372": {
+      "content": "[XXXXX876]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50373": {
+      "content": "[XXXXX1143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50374": {
+      "content": "[XXXXX355]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50375": {
+      "content": "[XXXXX450]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50376": {
+      "content": "[XXXXX642]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50377": {
+      "content": "[XXXXX162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50378": {
+      "content": "[XXXXX394]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50379": {
+      "content": "[XXXXX296]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50380": {
+      "content": "[XXXXX536]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50381": {
+      "content": "[XXXXX560]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50382": {
+      "content": "[XXXXX373]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50383": {
+      "content": "[XXXXX674]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50384": {
+      "content": "[XXXXX1099]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50385": {
+      "content": "[XXXXX797]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50386": {
+      "content": "[XXXXX516]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50387": {
+      "content": "[XXXXX41]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50388": {
+      "content": "[XXXXX594]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50389": {
+      "content": "[XXXXX319]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50390": {
+      "content": "[XXXXX165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50391": {
+      "content": "[XXXXX344]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50392": {
+      "content": "[XXXXX1012]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50393": {
+      "content": "[XXXXX942]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50394": {
+      "content": "[XXXXX1071]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50395": {
+      "content": "[XXXXX648]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50396": {
+      "content": "[XXXXX4]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50397": {
+      "content": "[XXXXX633]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50398": {
+      "content": "[XXXXX551]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50399": {
+      "content": "[XXXXX586]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50400": {
+      "content": "[XXXXX578]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50401": {
+      "content": "[XXXXX348]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50402": {
+      "content": "[XXXXX614]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50403": {
+      "content": "[XXXXX33]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50404": {
+      "content": "[XXXXX1193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50405": {
+      "content": "[XXXXX737]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50406": {
+      "content": "[XXXXX233]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50407": {
+      "content": "[XXXXX933]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50408": {
+      "content": "[XXXXX781]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50409": {
+      "content": "[XXXXX189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50410": {
+      "content": "[XXXXX1006]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50411": {
+      "content": "[XXXXX219]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50412": {
+      "content": "[XXXXX454]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50413": {
+      "content": "[XXXXX449]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50414": {
+      "content": "[XXXXX697]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50415": {
+      "content": "[XXXXX724]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50416": {
+      "content": "[XXXXX224]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50417": {
+      "content": "[XXXXX1157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50418": {
+      "content": "[XXXXX455]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50419": {
+      "content": "[XXXXX505]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50420": {
+      "content": "[XXXXX96]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50421": {
+      "content": "[XXXXX182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50422": {
+      "content": "[XXXXX424]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50423": {
+      "content": "[XXXXX872]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50424": {
+      "content": "[XXXXX1163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50425": {
+      "content": "[XXXXX1081]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50426": {
+      "content": "[XXXXX1173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50427": {
+      "content": "[XXXXX172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50428": {
+      "content": "[XXXXX507]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50429": {
+      "content": "[XXXXX920]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50430": {
+      "content": "[XXXXX1126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50431": {
+      "content": "[XXXXX474]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50432": {
+      "content": "[XXXXX971]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50433": {
+      "content": "[XXXXX1049]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50434": {
+      "content": "[XXXXX1114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50435": {
+      "content": "[XXXXX1040]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50436": {
+      "content": "[XXXXX79]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50437": {
+      "content": "[XXXXX36]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50438": {
+      "content": "[XXXXX977]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50439": {
+      "content": "[XXXXX1129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50440": {
+      "content": "[XXXXX1063]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50441": {
+      "content": "[XXXXX773]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50442": {
+      "content": "[XXXXX16]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50443": {
+      "content": "[XXXXX113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50444": {
+      "content": "[XXXXX320]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50445": {
+      "content": "[XXXXX167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50446": {
+      "content": "[XXXXX751]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50447": {
+      "content": "[XXXXX656]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50448": {
+      "content": "[XXXXX543]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50449": {
+      "content": "[XXXXX828]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50450": {
+      "content": "[XXXXX915]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50451": {
+      "content": "[XXXXX1098]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50452": {
+      "content": "[XXXXX569]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50453": {
+      "content": "[XXXXX1166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50454": {
+      "content": "[XXXXX846]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50455": {
+      "content": "[XXXXX324]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50456": {
+      "content": "[XXXXX802]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50457": {
+      "content": "[XXXXX588]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50458": {
+      "content": "[XXXXX739]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50459": {
+      "content": "[XXXXX50]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50460": {
+      "content": "[XXXXX882]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50461": {
+      "content": "[XXXXX1054]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50462": {
+      "content": "[XXXXX621]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50463": {
+      "content": "[XXXXX585]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50464": {
+      "content": "[XXXXX121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50465": {
+      "content": "[XXXXX647]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50466": {
+      "content": "[XXXXX767]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50467": {
+      "content": "[XXXXX645]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50468": {
+      "content": "[XXXXX27]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50469": {
+      "content": "[XXXXX907]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50470": {
+      "content": "[XXXXX1109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50471": {
+      "content": "[XXXXX1147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50472": {
+      "content": "[XXXXX501]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50473": {
+      "content": "[XXXXX1164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50474": {
+      "content": "[XXXXX650]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50475": {
+      "content": "[XXXXX329]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50476": {
+      "content": "[XXXXX659]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50477": {
+      "content": "[XXXXX1158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50478": {
+      "content": "[XXXXX104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50479": {
+      "content": "[XXXXX629]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50480": {
+      "content": "[XXXXX868]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50481": {
+      "content": "[XXXXX779]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50482": {
+      "content": "[XXXXX17]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50483": {
+      "content": "[XXXXX377]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50484": {
+      "content": "[XXXXX467]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50485": {
+      "content": "[XXXXX917]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50486": {
+      "content": "[XXXXX830]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50487": {
+      "content": "[XXXXX533]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50488": {
+      "content": "[XXXXX862]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50489": {
+      "content": "[XXXXX1041]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50490": {
+      "content": "[XXXXX542]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50491": {
+      "content": "[XXXXX595]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50492": {
+      "content": "[XXXXX353]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50493": {
+      "content": "[XXXXX181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50494": {
+      "content": "[XXXXX662]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50495": {
+      "content": "[XXXXX1195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50496": {
+      "content": "[XXXXX435]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50497": {
+      "content": "[XXXXX1051]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50498": {
+      "content": "[XXXXX703]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50499": {
+      "content": "[XXXXX1140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50500": {
+      "content": "[XXXXX750]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50501": {
+      "content": "[XXXXX57]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50502": {
+      "content": "[XXXXX75]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50503": {
+      "content": "[XXXXX293]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50504": {
+      "content": "[XXXXX681]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50505": {
+      "content": "[XXXXX46]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50506": {
+      "content": "[XXXXX30]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50507": {
+      "content": "[XXXXX402]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50508": {
+      "content": "[XXXXX803]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50509": {
+      "content": "[XXXXX821]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50510": {
+      "content": "[XXXXX871]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50511": {
+      "content": "[XXXXX980]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50512": {
+      "content": "[XXXXX990]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50513": {
+      "content": "[XXXXX626]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50514": {
+      "content": "[XXXXX90]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50515": {
+      "content": "[XXXXX77]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50516": {
+      "content": "[XXXXX819]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50517": {
+      "content": "[XXXXX436]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50518": {
+      "content": "[XXXXX306]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50519": {
+      "content": "[XXXXX434]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50520": {
+      "content": "[XXXXX88]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50521": {
+      "content": "[XXXXX184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50522": {
+      "content": "[XXXXX290]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50523": {
+      "content": "[XXXXX216]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50524": {
+      "content": "[XXXXX176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50525": {
+      "content": "[XXXXX747]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50526": {
+      "content": "[XXXXX938]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50527": {
+      "content": "[XXXXX442]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50528": {
+      "content": "[XXXXX301]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50529": {
+      "content": "[XXXXX1015]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50530": {
+      "content": "[XXXXX520]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50531": {
+      "content": "[XXXXX829]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50532": {
+      "content": "[XXXXX106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50533": {
+      "content": "[XXXXX1048]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50534": {
+      "content": "[XXXXX923]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50535": {
+      "content": "[XXXXX958]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50536": {
+      "content": "[XXXXX1130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50537": {
+      "content": "[XXXXX89]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50538": {
+      "content": "[XXXXX548]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50539": {
+      "content": "[XXXXX863]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50540": {
+      "content": "[XXXXX444]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50541": {
+      "content": "[XXXXX1149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50542": {
+      "content": "[XXXXX866]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50543": {
+      "content": "[XXXXX109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50544": {
+      "content": "[XXXXX550]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50545": {
+      "content": "[XXXXX727]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50546": {
+      "content": "[XXXXX646]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50547": {
+      "content": "[XXXXX702]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50548": {
+      "content": "[XXXXX204]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50549": {
+      "content": "[XXXXX1000]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50550": {
+      "content": "[XXXXX591]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50551": {
+      "content": "[XXXXX1128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50552": {
+      "content": "[XXXXX937]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50553": {
+      "content": "[XXXXX141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50554": {
+      "content": "[XXXXX273]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50555": {
+      "content": "[XXXXX1183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50556": {
+      "content": "[XXXXX765]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50557": {
+      "content": "[XXXXX371]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50558": {
+      "content": "[XXXXX256]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50559": {
+      "content": "[XXXXX964]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50560": {
+      "content": "[XXXXX1148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50561": {
+      "content": "[XXXXX930]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50562": {
+      "content": "[XXXXX212]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50563": {
+      "content": "[XXXXX133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50564": {
+      "content": "[XXXXX608]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50565": {
+      "content": "[XXXXX281]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50566": {
+      "content": "[XXXXX1045]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50567": {
+      "content": "[XXXXX928]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50568": {
+      "content": "[XXXXX1154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50569": {
+      "content": "[XXXXX334]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50570": {
+      "content": "[XXXXX861]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50571": {
+      "content": "[XXXXX87]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50572": {
+      "content": "[XXXXX941]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50573": {
+      "content": "[XXXXX359]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50574": {
+      "content": "[XXXXX55]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50575": {
+      "content": "[XXXXX842]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50576": {
+      "content": "[XXXXX427]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50577": {
+      "content": "[XXXXX491]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50578": {
+      "content": "[XXXXX137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50579": {
+      "content": "[XXXXX47]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50580": {
+      "content": "[XXXXX511]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50581": {
+      "content": "[XXXXX81]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50582": {
+      "content": "[XXXXX139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50583": {
+      "content": "[XXXXX226]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50584": {
+      "content": "[XXXXX563]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50585": {
+      "content": "[XXXXX708]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50586": {
+      "content": "[XXXXX820]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50587": {
+      "content": "[XXXXX65]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50588": {
+      "content": "[XXXXX381]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50589": {
+      "content": "[XXXXX22]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50590": {
+      "content": "[XXXXX1064]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50591": {
+      "content": "[XXXXX874]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50592": {
+      "content": "[XXXXX944]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50593": {
+      "content": "[XXXXX6]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50594": {
+      "content": "[XXXXX313]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50595": {
+      "content": "[XXXXX471]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50596": {
+      "content": "[XXXXX1118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50597": {
+      "content": "[XXXXX849]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50598": {
+      "content": "[XXXXX483]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50599": {
+      "content": "[XXXXX713]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50600": {
+      "content": "[XXXXX222]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50601": {
+      "content": "[XXXXX640]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50602": {
+      "content": "[XXXXX12]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50603": {
+      "content": "[XXXXX285]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50604": {
+      "content": "[XXXXX327]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50605": {
+      "content": "[XXXXX378]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50606": {
+      "content": "[XXXXX790]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50607": {
+      "content": "[XXXXX1179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50608": {
+      "content": "[XXXXX15]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50609": {
+      "content": "[XXXXX229]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50610": {
+      "content": "[XXXXX771]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50611": {
+      "content": "[XXXXX559]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50612": {
+      "content": "[XXXXX253]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50613": {
+      "content": "[XXXXX644]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50614": {
+      "content": "[XXXXX811]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50615": {
+      "content": "[XXXXX554]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50616": {
+      "content": "[XXXXX744]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50617": {
+      "content": "[XXXXX786]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50618": {
+      "content": "[XXXXX913]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50619": {
+      "content": "[XXXXX966]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50620": {
+      "content": "[XXXXX972]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50621": {
+      "content": "[XXXXX664]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50622": {
+      "content": "[XXXXX1131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50623": {
+      "content": "[XXXXX1132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50624": {
+      "content": "[XXXXX376]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50625": {
+      "content": "[XXXXX672]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50626": {
+      "content": "[XXXXX1013]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50627": {
+      "content": "[XXXXX328]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50628": {
+      "content": "[XXXXX889]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50629": {
+      "content": "[XXXXX1141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50630": {
+      "content": "[XXXXX429]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50631": {
+      "content": "[XXXXX114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50632": {
+      "content": "[XXXXX523]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50633": {
+      "content": "[XXXXX833]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50634": {
+      "content": "[XXXXX927]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50635": {
+      "content": "[XXXXX297]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50636": {
+      "content": "[XXXXX812]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50637": {
+      "content": "[XXXXX1062]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50638": {
+      "content": "[XXXXX152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50639": {
+      "content": "[XXXXX1010]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50640": {
+      "content": "[XXXXX690]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50641": {
+      "content": "[XXXXX363]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50642": {
+      "content": "[XXXXX1103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50643": {
+      "content": "[XXXXX194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50644": {
+      "content": "[XXXXX844]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50645": {
+      "content": "[XXXXX667]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50646": {
+      "content": "[XXXXX720]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50647": {
+      "content": "[XXXXX770]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50648": {
+      "content": "[XXXXX515]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50649": {
+      "content": "[XXXXX196]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50650": {
+      "content": "[XXXXX283]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50651": {
+      "content": "[XXXXX95]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50652": {
+      "content": "[XXXXX528]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50653": {
+      "content": "[XXXXX749]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50654": {
+      "content": "[XXXXX934]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50655": {
+      "content": "[XXXXX1052]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50656": {
+      "content": "[XXXXX1188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50657": {
+      "content": "[XXXXX1001]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50658": {
+      "content": "[XXXXX785]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50659": {
+      "content": "[XXXXX393]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50660": {
+      "content": "[XXXXX502]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50661": {
+      "content": "[XXXXX404]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50662": {
+      "content": "[XXXXX129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50663": {
+      "content": "[XXXXX643]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50664": {
+      "content": "[XXXXX1086]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50665": {
+      "content": "[XXXXX1104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50666": {
+      "content": "[XXXXX326]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50667": {
+      "content": "[XXXXX330]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50668": {
+      "content": "[XXXXX620]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50669": {
+      "content": "[XXXXX193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50670": {
+      "content": "[XXXXX470]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50671": {
+      "content": "[XXXXX279]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50672": {
+      "content": "[XXXXX97]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50673": {
+      "content": "[XXXXX177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50674": {
+      "content": "[XXXXX510]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50675": {
+      "content": "[XXXXX225]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50676": {
+      "content": "[XXXXX572]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50677": {
+      "content": "[XXXXX777]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50678": {
+      "content": "[XXXXX1135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50679": {
+      "content": "[XXXXX1160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50680": {
+      "content": "[XXXXX558]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50681": {
+      "content": "[XXXXX416]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50682": {
+      "content": "[XXXXX246]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50683": {
+      "content": "[XXXXX799]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50684": {
+      "content": "[XXXXX153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50685": {
+      "content": "[XXXXX671]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50686": {
+      "content": "[XXXXX809]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50687": {
+      "content": "[XXXXX525]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50688": {
+      "content": "[XXXXX1004]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50689": {
+      "content": "[XXXXX1005]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50690": {
+      "content": "[XXXXX1194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50691": {
+      "content": "[XXXXX408]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50692": {
+      "content": "[XXXXX492]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50693": {
+      "content": "[XXXXX973]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50694": {
+      "content": "[XXXXX242]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50695": {
+      "content": "[XXXXX357]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50696": {
+      "content": "[XXXXX851]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50697": {
+      "content": "[XXXXX999]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50698": {
+      "content": "[XXXXX969]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50699": {
+      "content": "[XXXXX453]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50700": {
+      "content": "[XXXXX730]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50701": {
+      "content": "[XXXXX54]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50702": {
+      "content": "[XXXXX480]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50703": {
+      "content": "[XXXXX564]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50704": {
+      "content": "[XXXXX600]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50705": {
+      "content": "[XXXXX654]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50706": {
+      "content": "[XXXXX37]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50707": {
+      "content": "[XXXXX605]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50708": {
+      "content": "[XXXXX164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50709": {
+      "content": "[XXXXX395]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50710": {
+      "content": "[XXXXX401]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50711": {
+      "content": "[XXXXX446]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50712": {
+      "content": "[XXXXX658]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50713": {
+      "content": "[XXXXX60]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50714": {
+      "content": "[XXXXX107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50715": {
+      "content": "[XXXXX131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50716": {
+      "content": "[XXXXX387]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50717": {
+      "content": "[XXXXX67]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50718": {
+      "content": "[XXXXX743]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50719": {
+      "content": "[XXXXX657]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50720": {
+      "content": "[XXXXX418]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50721": {
+      "content": "[XXXXX787]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50722": {
+      "content": "[XXXXX838]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50723": {
+      "content": "[XXXXX298]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50724": {
+      "content": "[XXXXX1007]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50725": {
+      "content": "[XXXXX1027]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50726": {
+      "content": "[XXXXX1078]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50727": {
+      "content": "[XXXXX651]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50728": {
+      "content": "[XXXXX875]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50729": {
+      "content": "[XXXXX258]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50730": {
+      "content": "[XXXXX413]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50731": {
+      "content": "[XXXXX1092]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50732": {
+      "content": "[XXXXX124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50733": {
+      "content": "[XXXXX308]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50734": {
+      "content": "[XXXXX1085]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50735": {
+      "content": "[XXXXX1170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50736": {
+      "content": "[XXXXX38]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50737": {
+      "content": "[XXXXX438]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50738": {
+      "content": "[XXXXX475]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50739": {
+      "content": "[XXXXX900]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50740": {
+      "content": "[XXXXX263]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50741": {
+      "content": "[XXXXX166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50742": {
+      "content": "[XXXXX698]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50743": {
+      "content": "[XXXXX1127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50744": {
+      "content": "[XXXXX1181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50745": {
+      "content": "[XXXXX763]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50746": {
+      "content": "[XXXXX627]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50747": {
+      "content": "[XXXXX250]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50748": {
+      "content": "[XXXXX757]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50749": {
+      "content": "[XXXXX142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50750": {
+      "content": "[XXXXX794]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50751": {
+      "content": "[XXXXX128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50752": {
+      "content": "[XXXXX35]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50753": {
+      "content": "[XXXXX482]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50754": {
+      "content": "[XXXXX834]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50755": {
+      "content": "[XXXXX679]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50756": {
+      "content": "[XXXXX839]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50757": {
+      "content": "[XXXXX138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50758": {
+      "content": "[XXXXX1066]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50759": {
+      "content": "[XXXXX116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50760": {
+      "content": "[XXXXX317]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50761": {
+      "content": "[XXXXX490]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50762": {
+      "content": "[XXXXX443]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50763": {
+      "content": "[XXXXX879]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50764": {
+      "content": "[XXXXX1101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50765": {
+      "content": "[XXXXX711]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50766": {
+      "content": "[XXXXX123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50767": {
+      "content": "[XXXXX1152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50768": {
+      "content": "[XXXXX692]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50769": {
+      "content": "[XXXXX555]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50770": {
+      "content": "[XXXXX266]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50771": {
+      "content": "[XXXXX0]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50772": {
+      "content": "[XXXXX332]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50773": {
+      "content": "[XXXXX497]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50774": {
+      "content": "[XXXXX904]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50775": {
+      "content": "[XXXXX1019]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50776": {
+      "content": "[XXXXX709]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50777": {
+      "content": "[XXXXX351]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50778": {
+      "content": "[XXXXX764]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50779": {
+      "content": "[XXXXX625]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50780": {
+      "content": "[XXXXX798]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50781": {
+      "content": "[XXXXX205]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50782": {
+      "content": "[XXXXX922]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50783": {
+      "content": "[XXXXX1075]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50784": {
+      "content": "[XXXXX8]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50785": {
+      "content": "[XXXXX422]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50786": {
+      "content": "[XXXXX638]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50787": {
+      "content": "[XXXXX98]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50788": {
+      "content": "[XXXXX814]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50789": {
+      "content": "[XXXXX1057]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50790": {
+      "content": "[XXXXX1070]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50791": {
+      "content": "[XXXXX411]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50792": {
+      "content": "[XXXXX768]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50793": {
+      "content": "[XXXXX1165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50794": {
+      "content": "[XXXXX888]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50795": {
+      "content": "[XXXXX636]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50796": {
+      "content": "[XXXXX1047]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50797": {
+      "content": "[XXXXX960]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50798": {
+      "content": "[XXXXX910]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50799": {
+      "content": "[XXXXX42]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50800": {
+      "content": "[XXXXX238]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50801": {
+      "content": "[XXXXX383]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50802": {
+      "content": "[XXXXX1032]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50803": {
+      "content": "[XXXXX577]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50804": {
+      "content": "[XXXXX268]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50805": {
+      "content": "[XXXXX179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50806": {
+      "content": "[XXXXX1076]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50807": {
+      "content": "[XXXXX1167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50808": {
+      "content": "[XXXXX1172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50809": {
+      "content": "[XXXXX665]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50810": {
+      "content": "[XXXXX126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50811": {
+      "content": "[XXXXX347]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50812": {
+      "content": "[XXXXX544]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50813": {
+      "content": "[XXXXX1026]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50814": {
+      "content": "[XXXXX159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50815": {
+      "content": "[XXXXX503]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50816": {
+      "content": "[XXXXX583]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50817": {
+      "content": "[XXXXX668]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50818": {
+      "content": "[XXXXX1115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50819": {
+      "content": "[XXXXX112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50820": {
+      "content": "[XXXXX154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50821": {
+      "content": "[XXXXX761]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50822": {
+      "content": "[XXXXX540]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50823": {
+      "content": "[XXXXX755]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50824": {
+      "content": "[XXXXX255]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50825": {
+      "content": "[XXXXX459]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50826": {
+      "content": "[XXXXX1090]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50827": {
+      "content": "[XXXXX689]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50828": {
+      "content": "[XXXXX589]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50829": {
+      "content": "[XXXXX122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50830": {
+      "content": "[XXXXX789]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50831": {
+      "content": "[XXXXX481]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50832": {
+      "content": "[XXXXX1044]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50833": {
+      "content": "[XXXXX274]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50834": {
+      "content": "[XXXXX957]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50835": {
+      "content": "[XXXXX1121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50836": {
+      "content": "[XXXXX464]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50837": {
+      "content": "[XXXXX495]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50838": {
+      "content": "[XXXXX1097]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50839": {
+      "content": "[XXXXX581]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50840": {
+      "content": "[XXXXX200]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50841": {
+      "content": "[XXXXX954]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50842": {
+      "content": "[XXXXX48]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50843": {
+      "content": "[XXXXX855]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50844": {
+      "content": "[XXXXX419]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50845": {
+      "content": "[XXXXX919]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50846": {
+      "content": "[XXXXX451]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50847": {
+      "content": "[XXXXX869]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50848": {
+      "content": "[XXXXX1082]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50849": {
+      "content": "[XXXXX1185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50850": {
+      "content": "[XXXXX859]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50851": {
+      "content": "[XXXXX1139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50852": {
+      "content": "[XXXXX1072]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50853": {
+      "content": "[XXXXX220]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50854": {
+      "content": "[XXXXX465]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50855": {
+      "content": "[XXXXX1105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50856": {
+      "content": "[XXXXX1093]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50857": {
+      "content": "[XXXXX953]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50858": {
+      "content": "[XXXXX1187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50859": {
+      "content": "[XXXXX311]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50860": {
+      "content": "[XXXXX403]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50861": {
+      "content": "[XXXXX684]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50862": {
+      "content": "[XXXXX426]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50863": {
+      "content": "[XXXXX68]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50864": {
+      "content": "[XXXXX277]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50865": {
+      "content": "[XXXXX437]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50866": {
+      "content": "[XXXXX896]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50867": {
+      "content": "[XXXXX899]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50868": {
+      "content": "[XXXXX878]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50869": {
+      "content": "[XXXXX1073]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50870": {
+      "content": "[XXXXX774]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50871": {
+      "content": "[XXXXX315]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50872": {
+      "content": "[XXXXX631]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50873": {
+      "content": "[XXXXX223]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50874": {
+      "content": "[XXXXX86]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50875": {
+      "content": "[XXXXX607]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50876": {
+      "content": "[XXXXX149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50877": {
+      "content": "[XXXXX566]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50878": {
+      "content": "[XXXXX740]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50879": {
+      "content": "[XXXXX265]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50880": {
+      "content": "[XXXXX399]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50881": {
+      "content": "[XXXXX1053]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50882": {
+      "content": "[XXXXX1077]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50883": {
+      "content": "[XXXXX336]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50884": {
+      "content": "[XXXXX734]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50885": {
+      "content": "[XXXXX289]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50886": {
+      "content": "[XXXXX221]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50887": {
+      "content": "[XXXXX580]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50888": {
+      "content": "[XXXXX406]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50889": {
+      "content": "[XXXXX854]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50890": {
+      "content": "[XXXXX673]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50891": {
+      "content": "[XXXXX1146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50892": {
+      "content": "[XXXXX29]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50893": {
+      "content": "[XXXXX496]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50894": {
+      "content": "[XXXXX241]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50895": {
+      "content": "[XXXXX929]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50896": {
+      "content": "[XXXXX169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50897": {
+      "content": "[XXXXX1153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50898": {
+      "content": "[XXXXX440]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50899": {
+      "content": "[XXXXX385]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50900": {
+      "content": "[XXXXX499]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50901": {
+      "content": "[XXXXX718]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50902": {
+      "content": "[XXXXX848]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50903": {
+      "content": "[XXXXX877]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50904": {
+      "content": "[XXXXX641]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50905": {
+      "content": "[XXXXX1137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50906": {
+      "content": "[XXXXX269]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50907": {
+      "content": "[XXXXX521]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50908": {
+      "content": "[XXXXX234]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50909": {
+      "content": "[XXXXX987]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50910": {
+      "content": "[XXXXX741]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50911": {
+      "content": "[XXXXX349]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50912": {
+      "content": "[XXXXX93]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50913": {
+      "content": "[XXXXX247]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50914": {
+      "content": "[XXXXX961]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50915": {
+      "content": "[XXXXX1120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50916": {
+      "content": "[XXXXX369]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50917": {
+      "content": "[XXXXX479]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50918": {
+      "content": "[XXXXX892]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50919": {
+      "content": "[XXXXX553]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50920": {
+      "content": "[XXXXX906]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50921": {
+      "content": "[XXXXX571]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50922": {
+      "content": "[XXXXX1046]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50923": {
+      "content": "[XXXXX206]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50924": {
+      "content": "[XXXXX488]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50925": {
+      "content": "[XXXXX445]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50926": {
+      "content": "[XXXXX524]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50927": {
+      "content": "[XXXXX228]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50928": {
+      "content": "[XXXXX998]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50929": {
+      "content": "[XXXXX675]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50930": {
+      "content": "[XXXXX732]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50931": {
+      "content": "[XXXXX1028]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50932": {
+      "content": "[XXXXX494]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50933": {
+      "content": "[XXXXX965]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50934": {
+      "content": "[XXXXX1021]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50935": {
+      "content": "[XXXXX726]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50936": {
+      "content": "[XXXXX168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50937": {
+      "content": "[XXXXX606]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50938": {
+      "content": "[XXXXX974]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50939": {
+      "content": "[XXXXX504]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50940": {
+      "content": "[XXXXX556]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50941": {
+      "content": "[XXXXX1159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50942": {
+      "content": "[XXXXX417]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50943": {
+      "content": "[XXXXX1175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50944": {
+      "content": "[XXXXX1142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50945": {
+      "content": "[XXXXX753]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50946": {
+      "content": "[XXXXX824]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50947": {
+      "content": "[XXXXX251]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50948": {
+      "content": "[XXXXX345]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50949": {
+      "content": "[XXXXX610]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50950": {
+      "content": "[XXXXX276]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50951": {
+      "content": "[XXXXX783]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50952": {
+      "content": "[XXXXX74]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50953": {
+      "content": "[XXXXX1050]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50954": {
+      "content": "[XXXXX71]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50955": {
+      "content": "[XXXXX360]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50956": {
+      "content": "[XXXXX512]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50957": {
+      "content": "[XXXXX341]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50958": {
+      "content": "[XXXXX375]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50959": {
+      "content": "[XXXXX637]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50960": {
+      "content": "[XXXXX1116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50961": {
+      "content": "[XXXXX9]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50962": {
+      "content": "[XXXXX738]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50963": {
+      "content": "[XXXXX856]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50964": {
+      "content": "[XXXXX979]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50965": {
+      "content": "[XXXXX825]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50966": {
+      "content": "[XXXXX852]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50967": {
+      "content": "[XXXXX215]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50968": {
+      "content": "[XXXXX91]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50969": {
+      "content": "[XXXXX257]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50970": {
+      "content": "[XXXXX325]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50971": {
+      "content": "[XXXXX368]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50972": {
+      "content": "[XXXXX1124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50973": {
+      "content": "[XXXXX188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50974": {
+      "content": "[XXXXX905]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50975": {
+      "content": "[XXXXX284]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50976": {
+      "content": "[XXXXX11]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50977": {
+      "content": "[XXXXX83]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50978": {
+      "content": "[XXXXX611]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50979": {
+      "content": "[XXXXX51]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50980": {
+      "content": "[XXXXX99]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50981": {
+      "content": "[XXXXX288]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50982": {
+      "content": "[XXXXX945]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50983": {
+      "content": "[XXXXX975]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50984": {
+      "content": "[XXXXX282]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50985": {
+      "content": "[XXXXX1068]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50986": {
+      "content": "[XXXXX1180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50987": {
+      "content": "[XXXXX574]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50988": {
+      "content": "[XXXXX305]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50989": {
+      "content": "[XXXXX565]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50990": {
+      "content": "[XXXXX865]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50991": {
+      "content": "[XXXXX1014]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50992": {
+      "content": "[XXXXX1138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50993": {
+      "content": "[XXXXX134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50994": {
+      "content": "[XXXXX321]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50995": {
+      "content": "[XXXXX752]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50996": {
+      "content": "[XXXXX108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50997": {
+      "content": "[XXXXX339]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50998": {
+      "content": "[XXXXX893]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50999": {
+      "content": "[XXXXX1177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51000": {
+      "content": "[XXXXX988]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51001": {
+      "content": "[XXXXX719]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51002": {
+      "content": "[XXXXX1059]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51003": {
+      "content": "[XXXXX421]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51004": {
+      "content": "[XXXXX670]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51005": {
+      "content": "[XXXXX949]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51006": {
+      "content": "[XXXXX14]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51007": {
+      "content": "[XXXXX1087]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51008": {
+      "content": "[XXXXX382]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51009": {
+      "content": "[XXXXX531]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51010": {
+      "content": "[XXXXX1079]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51011": {
+      "content": "[XXXXX1067]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51012": {
+      "content": "[XXXXX655]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51013": {
+      "content": "[XXXXX340]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51014": {
+      "content": "[XXXXX398]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51015": {
+      "content": "[XXXXX175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51016": {
+      "content": "[XXXXX232]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51017": {
+      "content": "[XXXXX244]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51018": {
+      "content": "[XXXXX568]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51019": {
+      "content": "[XXXXX1110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51020": {
+      "content": "[XXXXX191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51021": {
+      "content": "[XXXXX931]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51022": {
+      "content": "[XXXXX832]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51023": {
+      "content": "[XXXXX1030]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51024": {
+      "content": "[XXXXX144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51025": {
+      "content": "[XXXXX1102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51026": {
+      "content": "[XXXXX300]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51027": {
+      "content": "[XXXXX996]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51028": {
+      "content": "[XXXXX248]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51029": {
+      "content": "[XXXXX66]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51030": {
+      "content": "[XXXXX735]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51031": {
+      "content": "[XXXXX20]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51032": {
+      "content": "[XXXXX694]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51033": {
+      "content": "[XXXXX845]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51034": {
+      "content": "[XXXXX500]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51035": {
+      "content": "[XXXXX613]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51036": {
+      "content": "[XXXXX117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51037": {
+      "content": "[XXXXX886]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51038": {
+      "content": "[XXXXX261]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51039": {
+      "content": "[XXXXX567]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51040": {
+      "content": "[XXXXX541]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51041": {
+      "content": "[XXXXX529]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51042": {
+      "content": "[XXXXX699]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51043": {
+      "content": "[XXXXX715]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51044": {
+      "content": "[XXXXX1003]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51045": {
+      "content": "[XXXXX518]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51046": {
+      "content": "[XXXXX891]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51047": {
+      "content": "[XXXXX192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51048": {
+      "content": "[XXXXX53]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51049": {
+      "content": "[XXXXX428]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51050": {
+      "content": "[XXXXX183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51051": {
+      "content": "[XXXXX850]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51052": {
+      "content": "[XXXXX539]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51053": {
+      "content": "[XXXXX527]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51054": {
+      "content": "[XXXXX660]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51055": {
+      "content": "[XXXXX409]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51056": {
+      "content": "[XXXXX1122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51057": {
+      "content": "[XXXXX898]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51058": {
+      "content": "[XXXXX858]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51059": {
+      "content": "[XXXXX534]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51060": {
+      "content": "[XXXXX756]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51061": {
+      "content": "[XXXXX63]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51062": {
+      "content": "[XXXXX49]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51063": {
+      "content": "[XXXXX1106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51064": {
+      "content": "[XXXXX111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51065": {
+      "content": "[XXXXX955]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51066": {
+      "content": "[XXXXX309]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51067": {
+      "content": "[XXXXX538]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51068": {
+      "content": "[XXXXX823]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51069": {
+      "content": "[XXXXX867]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51070": {
+      "content": "[XXXXX587]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51071": {
+      "content": "[XXXXX243]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51072": {
+      "content": "[XXXXX677]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51073": {
+      "content": "[XXXXX1017]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51074": {
+      "content": "[XXXXX173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51075": {
+      "content": "[XXXXX682]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51076": {
+      "content": "[XXXXX1184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51077": {
+      "content": "[XXXXX1009]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51078": {
+      "content": "[XXXXX704]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51079": {
+      "content": "[XXXXX532]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51080": {
+      "content": "[XXXXX901]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51081": {
+      "content": "[XXXXX120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51082": {
+      "content": "[XXXXX388]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51083": {
+      "content": "[XXXXX405]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51084": {
+      "content": "[XXXXX788]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51085": {
+      "content": "[XXXXX728]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51086": {
+      "content": "[XXXXX425]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51087": {
+      "content": "[XXXXX883]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51088": {
+      "content": "[XXXXX837]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51089": {
+      "content": "[XXXXX350]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51090": {
+      "content": "[XXXXX716]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51091": {
+      "content": "[XXXXX579]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51092": {
+      "content": "[XXXXX909]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51093": {
+      "content": "[XXXXX884]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51094": {
+      "content": "[XXXXX1011]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51095": {
+      "content": "[XXXXX372]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51096": {
+      "content": "[XXXXX370]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51097": {
+      "content": "[XXXXX468]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51098": {
+      "content": "[XXXXX688]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51099": {
+      "content": "[XXXXX56]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51100": {
+      "content": "[XXXXX653]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51101": {
+      "content": "[XXXXX623]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51102": {
+      "content": "[XXXXX552]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51103": {
+      "content": "[XXXXX314]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51104": {
+      "content": "[XXXXX1018]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51105": {
+      "content": "[XXXXX1091]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51106": {
+      "content": "[XXXXX342]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51107": {
+      "content": "[XXXXX1065]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51108": {
+      "content": "[XXXXX1161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51109": {
+      "content": "[XXXXX959]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51110": {
+      "content": "[XXXXX1035]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51111": {
+      "content": "[XXXXX530]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51112": {
+      "content": "[XXXXX69]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51113": {
+      "content": "[XXXXX489]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51114": {
+      "content": "[XXXXX1]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51115": {
+      "content": "[XXXXX207]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51116": {
+      "content": "[XXXXX433]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51117": {
+      "content": "[XXXXX358]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51118": {
+      "content": "[XXXXX601]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51119": {
+      "content": "[XXXXX2]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51120": {
+      "content": "[XXXXX722]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51121": {
+      "content": "[XXXXX985]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51122": {
+      "content": "[XXXXX908]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51123": {
+      "content": "[XXXXX1024]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51124": {
+      "content": "[XXXXX1111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51125": {
+      "content": "[XXXXX1113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51126": {
+      "content": "[XXXXX678]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51127": {
+      "content": "[XXXXX19]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51128": {
+      "content": "[XXXXX1186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51129": {
+      "content": "[XXXXX808]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51130": {
+      "content": "[XXXXX493]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51131": {
+      "content": "[XXXXX1155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51132": {
+      "content": "[XXXXX217]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51133": {
+      "content": "[XXXXX616]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51134": {
+      "content": "[XXXXX835]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51135": {
+      "content": "[XXXXX994]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51136": {
+      "content": "[XXXXX484]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51137": {
+      "content": "[XXXXX362]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51138": {
+      "content": "[XXXXX582]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51139": {
+      "content": "[XXXXX1034]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51140": {
+      "content": "[XXXXX772]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51141": {
+      "content": "[XXXXX457]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51142": {
+      "content": "[XXXXX604]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51143": {
+      "content": "[XXXXX456]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51144": {
+      "content": "[XXXXX145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51145": {
+      "content": "[XXXXX476]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51146": {
+      "content": "[XXXXX218]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51147": {
+      "content": "[XXXXX199]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51148": {
+      "content": "[XXXXX364]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51149": {
+      "content": "[XXXXX302]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51150": {
+      "content": "[XXXXX881]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51151": {
+      "content": "[XXXXX1088]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51152": {
+      "content": "[XXXXX356]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51153": {
+      "content": "[XXXXX936]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51154": {
+      "content": "[XXXXX978]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51155": {
+      "content": "[XXXXX895]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51156": {
+      "content": "[XXXXX993]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51157": {
+      "content": "[XXXXX458]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51158": {
+      "content": "[XXXXX1002]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51159": {
+      "content": "[XXXXX1022]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51160": {
+      "content": "[XXXXX25]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51161": {
+      "content": "[XXXXX766]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51162": {
+      "content": "[XXXXX64]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51163": {
+      "content": "[XXXXX211]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51164": {
+      "content": "[XXXXX82]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51165": {
+      "content": "[XXXXX634]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51166": {
+      "content": "[XXXXX661]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51167": {
+      "content": "[XXXXX748]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51168": {
+      "content": "[XXXXX778]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51169": {
+      "content": "[XXXXX24]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51170": {
+      "content": "[XXXXX448]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51171": {
+      "content": "[XXXXX887]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51172": {
+      "content": "[XXXXX890]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51173": {
+      "content": "[XXXXX754]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51174": {
+      "content": "[XXXXX343]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51175": {
+      "content": "[XXXXX1069]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51176": {
+      "content": "[XXXXX294]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51177": {
+      "content": "[XXXXX295]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51178": {
+      "content": "[XXXXX197]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51179": {
+      "content": "[XXXXX210]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51180": {
+      "content": "[XXXXX630]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51181": {
+      "content": "[XXXXX707]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51182": {
+      "content": "[XXXXX864]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51183": {
+      "content": "[XXXXX391]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51184": {
+      "content": "[XXXXX338]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51185": {
+      "content": "[XXXXX800]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51186": {
+      "content": "[XXXXX841]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51187": {
+      "content": "[XXXXX967]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51188": {
+      "content": "[XXXXX793]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51189": {
+      "content": "[XXXXX916]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51190": {
+      "content": "[XXXXX603]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51191": {
+      "content": "[XXXXX270]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51192": {
+      "content": "[XXXXX105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51193": {
+      "content": "[XXXXX1016]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51194": {
+      "content": "[XXXXX804]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51195": {
+      "content": "[XXXXX264]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51196": {
+      "content": "[XXXXX155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51197": {
+      "content": "[XXXXX1190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51198": {
+      "content": "[XXXXX813]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51199": {
+      "content": "[XXXXX546]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "keep_accents": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}
diff --git a/checkpoint-8500/trainer_state.json b/checkpoint-8500/trainer_state.json
new file mode 100644
index 0000000..506aa3a
--- /dev/null
+++ b/checkpoint-8500/trainer_state.json
@@ -0,0 +1,17221 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 7.042253521126761,
+  "eval_steps": 500,
+  "global_step": 8500,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "entropy": 7.218191003799438,
+      "epoch": 0.004142502071251036,
+      "grad_norm": 1.265625,
+      "learning_rate": 2e-06,
+      "loss": 6.8898,
+      "mean_token_accuracy": 0.08805170804262161,
+      "num_tokens": 9149.0,
+      "step": 5
+    },
+    {
+      "entropy": 7.191673707962036,
+      "epoch": 0.008285004142502071,
+      "grad_norm": 1.5078125,
+      "learning_rate": 4.5e-06,
+      "loss": 6.7268,
+      "mean_token_accuracy": 0.09304728880524635,
+      "num_tokens": 16800.0,
+      "step": 10
+    },
+    {
+      "entropy": 7.134524202346801,
+      "epoch": 0.012427506213753107,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7e-06,
+      "loss": 6.8905,
+      "mean_token_accuracy": 0.0921505056321621,
+      "num_tokens": 26617.0,
+      "step": 15
+    },
+    {
+      "entropy": 7.115550088882446,
+      "epoch": 0.016570008285004142,
+      "grad_norm": 1.25,
+      "learning_rate": 9.5e-06,
+      "loss": 6.8021,
+      "mean_token_accuracy": 0.09268744736909866,
+      "num_tokens": 35855.0,
+      "step": 20
+    },
+    {
+      "entropy": 7.12396879196167,
+      "epoch": 0.020712510356255178,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.2e-05,
+      "loss": 7.0094,
+      "mean_token_accuracy": 0.08752714470028877,
+      "num_tokens": 45644.0,
+      "step": 25
+    },
+    {
+      "entropy": 7.054446792602539,
+      "epoch": 0.024855012427506214,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.4500000000000002e-05,
+      "loss": 6.8922,
+      "mean_token_accuracy": 0.09398627206683159,
+      "num_tokens": 54641.0,
+      "step": 30
+    },
+    {
+      "entropy": 7.012255907058716,
+      "epoch": 0.02899751449875725,
+      "grad_norm": 1.0234375,
+      "learning_rate": 1.7000000000000003e-05,
+      "loss": 6.7519,
+      "mean_token_accuracy": 0.08958807587623596,
+      "num_tokens": 63924.0,
+      "step": 35
+    },
+    {
+      "entropy": 7.068031549453735,
+      "epoch": 0.033140016570008285,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.95e-05,
+      "loss": 6.89,
+      "mean_token_accuracy": 0.09437783882021904,
+      "num_tokens": 73452.0,
+      "step": 40
+    },
+    {
+      "entropy": 7.06072301864624,
+      "epoch": 0.037282518641259324,
+      "grad_norm": 1.0234375,
+      "learning_rate": 2.2e-05,
+      "loss": 6.9455,
+      "mean_token_accuracy": 0.0851291574537754,
+      "num_tokens": 82731.0,
+      "step": 45
+    },
+    {
+      "entropy": 7.090083169937134,
+      "epoch": 0.041425020712510356,
+      "grad_norm": 1.1015625,
+      "learning_rate": 2.4500000000000003e-05,
+      "loss": 6.7734,
+      "mean_token_accuracy": 0.09048294499516488,
+      "num_tokens": 92626.0,
+      "step": 50
+    },
+    {
+      "entropy": 7.149203157424926,
+      "epoch": 0.045567522783761395,
+      "grad_norm": 1.21875,
+      "learning_rate": 2.7e-05,
+      "loss": 6.9497,
+      "mean_token_accuracy": 0.08217904865741729,
+      "num_tokens": 101380.0,
+      "step": 55
+    },
+    {
+      "entropy": 7.119951963424683,
+      "epoch": 0.04971002485501243,
+      "grad_norm": 1.046875,
+      "learning_rate": 2.95e-05,
+      "loss": 6.8604,
+      "mean_token_accuracy": 0.09202293381094932,
+      "num_tokens": 109895.0,
+      "step": 60
+    },
+    {
+      "entropy": 7.2014998435974125,
+      "epoch": 0.053852526926263466,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.2e-05,
+      "loss": 6.8449,
+      "mean_token_accuracy": 0.09257669150829315,
+      "num_tokens": 119203.0,
+      "step": 65
+    },
+    {
+      "entropy": 7.1111664295196535,
+      "epoch": 0.0579950289975145,
+      "grad_norm": 1.1484375,
+      "learning_rate": 3.4500000000000005e-05,
+      "loss": 6.7903,
+      "mean_token_accuracy": 0.09657297283411026,
+      "num_tokens": 127572.0,
+      "step": 70
+    },
+    {
+      "entropy": 7.04930944442749,
+      "epoch": 0.06213753106876554,
+      "grad_norm": 1.03125,
+      "learning_rate": 3.7e-05,
+      "loss": 6.8304,
+      "mean_token_accuracy": 0.09063600301742554,
+      "num_tokens": 137161.0,
+      "step": 75
+    },
+    {
+      "entropy": 7.044711875915527,
+      "epoch": 0.06628003314001657,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.95e-05,
+      "loss": 6.9451,
+      "mean_token_accuracy": 0.08874713778495788,
+      "num_tokens": 145991.0,
+      "step": 80
+    },
+    {
+      "entropy": 7.130092525482178,
+      "epoch": 0.07042253521126761,
+      "grad_norm": 1.0546875,
+      "learning_rate": 4.2000000000000004e-05,
+      "loss": 6.8464,
+      "mean_token_accuracy": 0.08955071866512299,
+      "num_tokens": 154927.0,
+      "step": 85
+    },
+    {
+      "entropy": 7.090402746200562,
+      "epoch": 0.07456503728251865,
+      "grad_norm": 1.34375,
+      "learning_rate": 4.45e-05,
+      "loss": 6.7595,
+      "mean_token_accuracy": 0.09832768961787224,
+      "num_tokens": 163234.0,
+      "step": 90
+    },
+    {
+      "entropy": 7.08957576751709,
+      "epoch": 0.07870753935376967,
+      "grad_norm": 1.015625,
+      "learning_rate": 4.7000000000000004e-05,
+      "loss": 6.7163,
+      "mean_token_accuracy": 0.09379880875349045,
+      "num_tokens": 171554.0,
+      "step": 95
+    },
+    {
+      "entropy": 7.044517278671265,
+      "epoch": 0.08285004142502071,
+      "grad_norm": 1.1328125,
+      "learning_rate": 4.9500000000000004e-05,
+      "loss": 6.8173,
+      "mean_token_accuracy": 0.0955286517739296,
+      "num_tokens": 180171.0,
+      "step": 100
+    },
+    {
+      "entropy": 7.050950908660889,
+      "epoch": 0.08699254349627175,
+      "grad_norm": 1.0859375,
+      "learning_rate": 5.2e-05,
+      "loss": 6.761,
+      "mean_token_accuracy": 0.09741089940071106,
+      "num_tokens": 189216.0,
+      "step": 105
+    },
+    {
+      "entropy": 7.173562717437744,
+      "epoch": 0.09113504556752279,
+      "grad_norm": 1.015625,
+      "learning_rate": 5.45e-05,
+      "loss": 6.9519,
+      "mean_token_accuracy": 0.08675800338387489,
+      "num_tokens": 200022.0,
+      "step": 110
+    },
+    {
+      "entropy": 7.183744478225708,
+      "epoch": 0.09527754763877382,
+      "grad_norm": 1.2265625,
+      "learning_rate": 5.7e-05,
+      "loss": 6.8642,
+      "mean_token_accuracy": 0.09210581332445145,
+      "num_tokens": 208686.0,
+      "step": 115
+    },
+    {
+      "entropy": 7.121539115905762,
+      "epoch": 0.09942004971002485,
+      "grad_norm": 1.1875,
+      "learning_rate": 5.9499999999999996e-05,
+      "loss": 6.8829,
+      "mean_token_accuracy": 0.09462191313505172,
+      "num_tokens": 218266.0,
+      "step": 120
+    },
+    {
+      "entropy": 7.006736946105957,
+      "epoch": 0.1035625517812759,
+      "grad_norm": 1.046875,
+      "learning_rate": 6.2e-05,
+      "loss": 6.7523,
+      "mean_token_accuracy": 0.08771666437387467,
+      "num_tokens": 227658.0,
+      "step": 125
+    },
+    {
+      "entropy": 7.040027761459351,
+      "epoch": 0.10770505385252693,
+      "grad_norm": 1.1015625,
+      "learning_rate": 6.450000000000001e-05,
+      "loss": 6.7014,
+      "mean_token_accuracy": 0.1004502885043621,
+      "num_tokens": 236301.0,
+      "step": 130
+    },
+    {
+      "entropy": 7.106470441818237,
+      "epoch": 0.11184755592377796,
+      "grad_norm": 1.1171875,
+      "learning_rate": 6.7e-05,
+      "loss": 6.8424,
+      "mean_token_accuracy": 0.08812138065695763,
+      "num_tokens": 246355.0,
+      "step": 135
+    },
+    {
+      "entropy": 7.174679756164551,
+      "epoch": 0.115990057995029,
+      "grad_norm": 1.15625,
+      "learning_rate": 6.950000000000001e-05,
+      "loss": 6.8174,
+      "mean_token_accuracy": 0.0924198254942894,
+      "num_tokens": 256023.0,
+      "step": 140
+    },
+    {
+      "entropy": 7.10174069404602,
+      "epoch": 0.12013256006628004,
+      "grad_norm": 0.9921875,
+      "learning_rate": 7.2e-05,
+      "loss": 6.9036,
+      "mean_token_accuracy": 0.08638993799686431,
+      "num_tokens": 266893.0,
+      "step": 145
+    },
+    {
+      "entropy": 7.019921684265137,
+      "epoch": 0.12427506213753108,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7.45e-05,
+      "loss": 6.6606,
+      "mean_token_accuracy": 0.08872481286525727,
+      "num_tokens": 276075.0,
+      "step": 150
+    },
+    {
+      "entropy": 7.042754888534546,
+      "epoch": 0.12841756420878211,
+      "grad_norm": 1.25,
+      "learning_rate": 7.7e-05,
+      "loss": 6.7532,
+      "mean_token_accuracy": 0.09296932220458984,
+      "num_tokens": 285529.0,
+      "step": 155
+    },
+    {
+      "entropy": 7.064399909973145,
+      "epoch": 0.13256006628003314,
+      "grad_norm": 1.15625,
+      "learning_rate": 7.950000000000001e-05,
+      "loss": 6.762,
+      "mean_token_accuracy": 0.09406789913773536,
+      "num_tokens": 294403.0,
+      "step": 160
+    },
+    {
+      "entropy": 7.152362823486328,
+      "epoch": 0.13670256835128416,
+      "grad_norm": 1.28125,
+      "learning_rate": 8.2e-05,
+      "loss": 6.8553,
+      "mean_token_accuracy": 0.09358441680669785,
+      "num_tokens": 303507.0,
+      "step": 165
+    },
+    {
+      "entropy": 7.071487474441528,
+      "epoch": 0.14084507042253522,
+      "grad_norm": 1.21875,
+      "learning_rate": 8.450000000000001e-05,
+      "loss": 6.7534,
+      "mean_token_accuracy": 0.09645206108689308,
+      "num_tokens": 312393.0,
+      "step": 170
+    },
+    {
+      "entropy": 6.956210470199585,
+      "epoch": 0.14498757249378624,
+      "grad_norm": 1.0859375,
+      "learning_rate": 8.7e-05,
+      "loss": 6.7226,
+      "mean_token_accuracy": 0.09953253641724587,
+      "num_tokens": 321309.0,
+      "step": 175
+    },
+    {
+      "entropy": 7.2200812816619875,
+      "epoch": 0.1491300745650373,
+      "grad_norm": 1.1328125,
+      "learning_rate": 8.95e-05,
+      "loss": 6.7879,
+      "mean_token_accuracy": 0.09582221284508705,
+      "num_tokens": 330217.0,
+      "step": 180
+    },
+    {
+      "entropy": 6.964824962615967,
+      "epoch": 0.15327257663628832,
+      "grad_norm": 1.2109375,
+      "learning_rate": 9.2e-05,
+      "loss": 6.8296,
+      "mean_token_accuracy": 0.09584516286849976,
+      "num_tokens": 339587.0,
+      "step": 185
+    },
+    {
+      "entropy": 7.104565525054932,
+      "epoch": 0.15741507870753935,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.45e-05,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.09563353508710862,
+      "num_tokens": 349367.0,
+      "step": 190
+    },
+    {
+      "entropy": 6.90956711769104,
+      "epoch": 0.1615575807787904,
+      "grad_norm": 1.1953125,
+      "learning_rate": 9.7e-05,
+      "loss": 6.6535,
+      "mean_token_accuracy": 0.09533214569091797,
+      "num_tokens": 358272.0,
+      "step": 195
+    },
+    {
+      "entropy": 7.184430170059204,
+      "epoch": 0.16570008285004142,
+      "grad_norm": 1.1875,
+      "learning_rate": 9.95e-05,
+      "loss": 6.8847,
+      "mean_token_accuracy": 0.09342379868030548,
+      "num_tokens": 367709.0,
+      "step": 200
+    },
+    {
+      "entropy": 7.108258152008057,
+      "epoch": 0.16984258492129245,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000102,
+      "loss": 6.7363,
+      "mean_token_accuracy": 0.09321728497743606,
+      "num_tokens": 376180.0,
+      "step": 205
+    },
+    {
+      "entropy": 7.143853282928466,
+      "epoch": 0.1739850869925435,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00010449999999999999,
+      "loss": 6.8927,
+      "mean_token_accuracy": 0.08639989122748375,
+      "num_tokens": 385636.0,
+      "step": 210
+    },
+    {
+      "entropy": 7.005528688430786,
+      "epoch": 0.17812758906379453,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000107,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.10387283116579056,
+      "num_tokens": 394486.0,
+      "step": 215
+    },
+    {
+      "entropy": 7.066776275634766,
+      "epoch": 0.18227009113504558,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0001095,
+      "loss": 6.7286,
+      "mean_token_accuracy": 0.09739693626761436,
+      "num_tokens": 403765.0,
+      "step": 220
+    },
+    {
+      "entropy": 6.9391695022583,
+      "epoch": 0.1864125932062966,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000112,
+      "loss": 6.7198,
+      "mean_token_accuracy": 0.09883175939321517,
+      "num_tokens": 412988.0,
+      "step": 225
+    },
+    {
+      "entropy": 7.029045248031617,
+      "epoch": 0.19055509527754763,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0001145,
+      "loss": 6.6219,
+      "mean_token_accuracy": 0.09850638806819915,
+      "num_tokens": 422096.0,
+      "step": 230
+    },
+    {
+      "entropy": 7.055552911758423,
+      "epoch": 0.19469759734879868,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011700000000000001,
+      "loss": 6.7907,
+      "mean_token_accuracy": 0.08912368193268776,
+      "num_tokens": 431333.0,
+      "step": 235
+    },
+    {
+      "entropy": 7.076433277130127,
+      "epoch": 0.1988400994200497,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00011949999999999999,
+      "loss": 6.825,
+      "mean_token_accuracy": 0.0998022735118866,
+      "num_tokens": 440382.0,
+      "step": 240
+    },
+    {
+      "entropy": 7.098494958877564,
+      "epoch": 0.20298260149130073,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000122,
+      "loss": 6.7184,
+      "mean_token_accuracy": 0.1035430908203125,
+      "num_tokens": 448469.0,
+      "step": 245
+    },
+    {
+      "entropy": 7.065437746047974,
+      "epoch": 0.2071251035625518,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001245,
+      "loss": 6.7562,
+      "mean_token_accuracy": 0.0973759837448597,
+      "num_tokens": 457356.0,
+      "step": 250
+    },
+    {
+      "entropy": 7.103154182434082,
+      "epoch": 0.2112676056338028,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000127,
+      "loss": 6.7821,
+      "mean_token_accuracy": 0.09721289053559304,
+      "num_tokens": 465928.0,
+      "step": 255
+    },
+    {
+      "entropy": 6.99681601524353,
+      "epoch": 0.21541010770505387,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0001295,
+      "loss": 6.6931,
+      "mean_token_accuracy": 0.09931288808584213,
+      "num_tokens": 475269.0,
+      "step": 260
+    },
+    {
+      "entropy": 6.960800266265869,
+      "epoch": 0.2195526097763049,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000132,
+      "loss": 6.679,
+      "mean_token_accuracy": 0.09512786641716957,
+      "num_tokens": 485450.0,
+      "step": 265
+    },
+    {
+      "entropy": 7.0514568328857425,
+      "epoch": 0.22369511184755592,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00013450000000000002,
+      "loss": 6.7347,
+      "mean_token_accuracy": 0.10228226557374001,
+      "num_tokens": 494029.0,
+      "step": 270
+    },
+    {
+      "entropy": 6.9516912460327145,
+      "epoch": 0.22783761391880697,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013700000000000002,
+      "loss": 6.676,
+      "mean_token_accuracy": 0.10202871784567832,
+      "num_tokens": 503253.0,
+      "step": 275
+    },
+    {
+      "entropy": 7.018160057067871,
+      "epoch": 0.231980115990058,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0001395,
+      "loss": 6.6685,
+      "mean_token_accuracy": 0.09529435187578202,
+      "num_tokens": 512857.0,
+      "step": 280
+    },
+    {
+      "entropy": 6.9714985370635985,
+      "epoch": 0.23612261806130902,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00014199999999999998,
+      "loss": 6.7719,
+      "mean_token_accuracy": 0.09288227260112762,
+      "num_tokens": 522319.0,
+      "step": 285
+    },
+    {
+      "entropy": 7.113205528259277,
+      "epoch": 0.24026512013256007,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0001445,
+      "loss": 6.7224,
+      "mean_token_accuracy": 0.09471780881285667,
+      "num_tokens": 531469.0,
+      "step": 290
+    },
+    {
+      "entropy": 6.976934480667114,
+      "epoch": 0.2444076222038111,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000147,
+      "loss": 6.756,
+      "mean_token_accuracy": 0.09480062946677208,
+      "num_tokens": 540470.0,
+      "step": 295
+    },
+    {
+      "entropy": 7.011937475204467,
+      "epoch": 0.24855012427506215,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0001495,
+      "loss": 6.7584,
+      "mean_token_accuracy": 0.09700122326612473,
+      "num_tokens": 550317.0,
+      "step": 300
+    },
+    {
+      "entropy": 7.0365160465240475,
+      "epoch": 0.2526926263463132,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000152,
+      "loss": 6.7067,
+      "mean_token_accuracy": 0.09434132501482964,
+      "num_tokens": 559409.0,
+      "step": 305
+    },
+    {
+      "entropy": 6.928857326507568,
+      "epoch": 0.25683512841756423,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00015450000000000001,
+      "loss": 6.768,
+      "mean_token_accuracy": 0.10764710158109665,
+      "num_tokens": 568726.0,
+      "step": 310
+    },
+    {
+      "entropy": 7.103991413116455,
+      "epoch": 0.2609776304888152,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000157,
+      "loss": 6.7179,
+      "mean_token_accuracy": 0.0976541943848133,
+      "num_tokens": 577926.0,
+      "step": 315
+    },
+    {
+      "entropy": 7.047203779220581,
+      "epoch": 0.2651201325600663,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001595,
+      "loss": 6.7448,
+      "mean_token_accuracy": 0.09809661954641342,
+      "num_tokens": 586695.0,
+      "step": 320
+    },
+    {
+      "entropy": 7.039609956741333,
+      "epoch": 0.26926263463131733,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000162,
+      "loss": 6.771,
+      "mean_token_accuracy": 0.0949723981320858,
+      "num_tokens": 596250.0,
+      "step": 325
+    },
+    {
+      "entropy": 7.063632202148438,
+      "epoch": 0.27340513670256833,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00016450000000000001,
+      "loss": 6.8221,
+      "mean_token_accuracy": 0.09051206335425377,
+      "num_tokens": 605761.0,
+      "step": 330
+    },
+    {
+      "entropy": 7.019326877593994,
+      "epoch": 0.2775476387738194,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00016700000000000002,
+      "loss": 6.7365,
+      "mean_token_accuracy": 0.09872144013643265,
+      "num_tokens": 614313.0,
+      "step": 335
+    },
+    {
+      "entropy": 7.037422132492066,
+      "epoch": 0.28169014084507044,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00016950000000000003,
+      "loss": 6.7692,
+      "mean_token_accuracy": 0.09455474764108658,
+      "num_tokens": 624470.0,
+      "step": 340
+    },
+    {
+      "entropy": 7.039082098007202,
+      "epoch": 0.28583264291632143,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00017199999999999998,
+      "loss": 6.6843,
+      "mean_token_accuracy": 0.09269843101501465,
+      "num_tokens": 633458.0,
+      "step": 345
+    },
+    {
+      "entropy": 6.942268037796021,
+      "epoch": 0.2899751449875725,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00017449999999999999,
+      "loss": 6.6939,
+      "mean_token_accuracy": 0.09877684414386749,
+      "num_tokens": 643251.0,
+      "step": 350
+    },
+    {
+      "entropy": 6.99584732055664,
+      "epoch": 0.29411764705882354,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000177,
+      "loss": 6.7635,
+      "mean_token_accuracy": 0.09713540598750114,
+      "num_tokens": 652005.0,
+      "step": 355
+    },
+    {
+      "entropy": 7.006586170196533,
+      "epoch": 0.2982601491300746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0001795,
+      "loss": 6.6575,
+      "mean_token_accuracy": 0.10120807588100433,
+      "num_tokens": 661003.0,
+      "step": 360
+    },
+    {
+      "entropy": 6.874996137619019,
+      "epoch": 0.3024026512013256,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000182,
+      "loss": 6.6294,
+      "mean_token_accuracy": 0.09844254851341247,
+      "num_tokens": 670221.0,
+      "step": 365
+    },
+    {
+      "entropy": 7.155635738372803,
+      "epoch": 0.30654515327257664,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001845,
+      "loss": 6.9236,
+      "mean_token_accuracy": 0.0882349319756031,
+      "num_tokens": 680756.0,
+      "step": 370
+    },
+    {
+      "entropy": 6.94540753364563,
+      "epoch": 0.3106876553438277,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000187,
+      "loss": 6.6157,
+      "mean_token_accuracy": 0.10289054960012436,
+      "num_tokens": 689641.0,
+      "step": 375
+    },
+    {
+      "entropy": 6.87992377281189,
+      "epoch": 0.3148301574150787,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001895,
+      "loss": 6.5696,
+      "mean_token_accuracy": 0.09839320331811904,
+      "num_tokens": 698209.0,
+      "step": 380
+    },
+    {
+      "entropy": 6.823869276046753,
+      "epoch": 0.31897265948632975,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000192,
+      "loss": 6.5736,
+      "mean_token_accuracy": 0.10355777889490128,
+      "num_tokens": 706712.0,
+      "step": 385
+    },
+    {
+      "entropy": 7.037634468078613,
+      "epoch": 0.3231151615575808,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0001945,
+      "loss": 6.8017,
+      "mean_token_accuracy": 0.09728012606501579,
+      "num_tokens": 716087.0,
+      "step": 390
+    },
+    {
+      "entropy": 6.911249494552612,
+      "epoch": 0.3272576636288318,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00019700000000000002,
+      "loss": 6.6465,
+      "mean_token_accuracy": 0.09347675815224647,
+      "num_tokens": 725913.0,
+      "step": 395
+    },
+    {
+      "entropy": 6.944440317153931,
+      "epoch": 0.33140016570008285,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019950000000000002,
+      "loss": 6.7201,
+      "mean_token_accuracy": 0.10362306237220764,
+      "num_tokens": 735020.0,
+      "step": 400
+    },
+    {
+      "entropy": 6.985636854171753,
+      "epoch": 0.3355426677713339,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000202,
+      "loss": 6.6216,
+      "mean_token_accuracy": 0.09469136893749237,
+      "num_tokens": 744299.0,
+      "step": 405
+    },
+    {
+      "entropy": 6.883630275726318,
+      "epoch": 0.3396851698425849,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00020449999999999998,
+      "loss": 6.6099,
+      "mean_token_accuracy": 0.09694516137242318,
+      "num_tokens": 753231.0,
+      "step": 410
+    },
+    {
+      "entropy": 6.825357389450073,
+      "epoch": 0.34382767191383595,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000207,
+      "loss": 6.6717,
+      "mean_token_accuracy": 0.10230854973196983,
+      "num_tokens": 763043.0,
+      "step": 415
+    },
+    {
+      "entropy": 7.016851997375488,
+      "epoch": 0.347970173985087,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0002095,
+      "loss": 6.6905,
+      "mean_token_accuracy": 0.09913048222661018,
+      "num_tokens": 771977.0,
+      "step": 420
+    },
+    {
+      "entropy": 6.820244407653808,
+      "epoch": 0.352112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000212,
+      "loss": 6.6243,
+      "mean_token_accuracy": 0.1011092983186245,
+      "num_tokens": 780285.0,
+      "step": 425
+    },
+    {
+      "entropy": 6.956075525283813,
+      "epoch": 0.35625517812758906,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002145,
+      "loss": 6.6593,
+      "mean_token_accuracy": 0.09649045094847679,
+      "num_tokens": 789980.0,
+      "step": 430
+    },
+    {
+      "entropy": 6.984846019744873,
+      "epoch": 0.3603976801988401,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021700000000000002,
+      "loss": 6.6275,
+      "mean_token_accuracy": 0.10474459528923034,
+      "num_tokens": 798700.0,
+      "step": 435
+    },
+    {
+      "entropy": 6.767291498184204,
+      "epoch": 0.36454018227009116,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002195,
+      "loss": 6.7208,
+      "mean_token_accuracy": 0.09600067660212516,
+      "num_tokens": 808758.0,
+      "step": 440
+    },
+    {
+      "entropy": 7.046369791030884,
+      "epoch": 0.36868268434134216,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000222,
+      "loss": 6.6666,
+      "mean_token_accuracy": 0.10458802133798599,
+      "num_tokens": 817692.0,
+      "step": 445
+    },
+    {
+      "entropy": 6.95425066947937,
+      "epoch": 0.3728251864125932,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002245,
+      "loss": 6.7146,
+      "mean_token_accuracy": 0.10474570766091347,
+      "num_tokens": 827052.0,
+      "step": 450
+    },
+    {
+      "entropy": 6.895345544815063,
+      "epoch": 0.37696768848384427,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00022700000000000002,
+      "loss": 6.7139,
+      "mean_token_accuracy": 0.1091882586479187,
+      "num_tokens": 836442.0,
+      "step": 455
+    },
+    {
+      "entropy": 6.922871923446655,
+      "epoch": 0.38111019055509526,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00022950000000000002,
+      "loss": 6.5775,
+      "mean_token_accuracy": 0.10118989571928978,
+      "num_tokens": 846441.0,
+      "step": 460
+    },
+    {
+      "entropy": 6.8815388679504395,
+      "epoch": 0.3852526926263463,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00023200000000000003,
+      "loss": 6.6215,
+      "mean_token_accuracy": 0.10475475937128068,
+      "num_tokens": 856108.0,
+      "step": 465
+    },
+    {
+      "entropy": 6.848587274551392,
+      "epoch": 0.38939519469759737,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00023449999999999998,
+      "loss": 6.5833,
+      "mean_token_accuracy": 0.10137399956583977,
+      "num_tokens": 865788.0,
+      "step": 470
+    },
+    {
+      "entropy": 6.886804008483887,
+      "epoch": 0.39353769676884837,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000237,
+      "loss": 6.6302,
+      "mean_token_accuracy": 0.09514767676591873,
+      "num_tokens": 874833.0,
+      "step": 475
+    },
+    {
+      "entropy": 6.751422643661499,
+      "epoch": 0.3976801988400994,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002395,
+      "loss": 6.5997,
+      "mean_token_accuracy": 0.10276172533631325,
+      "num_tokens": 883685.0,
+      "step": 480
+    },
+    {
+      "entropy": 6.881311464309692,
+      "epoch": 0.40182270091135047,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000242,
+      "loss": 6.6001,
+      "mean_token_accuracy": 0.09796027019619942,
+      "num_tokens": 893908.0,
+      "step": 485
+    },
+    {
+      "entropy": 6.934821891784668,
+      "epoch": 0.40596520298260147,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002445,
+      "loss": 6.7142,
+      "mean_token_accuracy": 0.09827135354280472,
+      "num_tokens": 903081.0,
+      "step": 490
+    },
+    {
+      "entropy": 6.7868632793426515,
+      "epoch": 0.4101077050538525,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000247,
+      "loss": 6.5522,
+      "mean_token_accuracy": 0.10336750745773315,
+      "num_tokens": 912515.0,
+      "step": 495
+    },
+    {
+      "entropy": 6.886235475540161,
+      "epoch": 0.4142502071251036,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002495,
+      "loss": 6.5797,
+      "mean_token_accuracy": 0.1070313923060894,
+      "num_tokens": 921056.0,
+      "step": 500
+    },
+    {
+      "epoch": 0.4142502071251036,
+      "eval_entropy": 6.836038604728194,
+      "eval_loss": 6.684774875640869,
+      "eval_mean_token_accuracy": 0.10272799217021034,
+      "eval_num_tokens": 921056.0,
+      "eval_runtime": 2.7891,
+      "eval_samples_per_second": 1343.421,
+      "eval_steps_per_second": 168.152,
+      "step": 500
+    },
+    {
+      "entropy": 6.7657403469085695,
+      "epoch": 0.4183927091963546,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000252,
+      "loss": 6.5317,
+      "mean_token_accuracy": 0.10417452603578567,
+      "num_tokens": 931112.0,
+      "step": 505
+    },
+    {
+      "entropy": 6.821895503997803,
+      "epoch": 0.4225352112676056,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0002545,
+      "loss": 6.6605,
+      "mean_token_accuracy": 0.0978618748486042,
+      "num_tokens": 941120.0,
+      "step": 510
+    },
+    {
+      "entropy": 6.886211729049682,
+      "epoch": 0.4266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000257,
+      "loss": 6.6044,
+      "mean_token_accuracy": 0.09737976416945457,
+      "num_tokens": 950041.0,
+      "step": 515
+    },
+    {
+      "entropy": 6.879851579666138,
+      "epoch": 0.43082021541010773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002595,
+      "loss": 6.5907,
+      "mean_token_accuracy": 0.10606569275259972,
+      "num_tokens": 958608.0,
+      "step": 520
+    },
+    {
+      "entropy": 6.886484861373901,
+      "epoch": 0.43496271748135873,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.000262,
+      "loss": 6.7158,
+      "mean_token_accuracy": 0.09990910813212395,
+      "num_tokens": 966901.0,
+      "step": 525
+    },
+    {
+      "entropy": 6.767313003540039,
+      "epoch": 0.4391052195526098,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026450000000000003,
+      "loss": 6.5504,
+      "mean_token_accuracy": 0.10768762230873108,
+      "num_tokens": 976198.0,
+      "step": 530
+    },
+    {
+      "entropy": 6.892781782150268,
+      "epoch": 0.44324772162386084,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026700000000000004,
+      "loss": 6.624,
+      "mean_token_accuracy": 0.09861580505967141,
+      "num_tokens": 985248.0,
+      "step": 535
+    },
+    {
+      "entropy": 6.772344255447388,
+      "epoch": 0.44739022369511183,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00026950000000000005,
+      "loss": 6.5014,
+      "mean_token_accuracy": 0.1071978710591793,
+      "num_tokens": 993289.0,
+      "step": 540
+    },
+    {
+      "entropy": 6.820696449279785,
+      "epoch": 0.4515327257663629,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027200000000000005,
+      "loss": 6.5909,
+      "mean_token_accuracy": 0.10533165782690049,
+      "num_tokens": 1001784.0,
+      "step": 545
+    },
+    {
+      "entropy": 6.935409688949585,
+      "epoch": 0.45567522783761394,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002745,
+      "loss": 6.5627,
+      "mean_token_accuracy": 0.10804210156202317,
+      "num_tokens": 1010445.0,
+      "step": 550
+    },
+    {
+      "entropy": 6.745790100097656,
+      "epoch": 0.45981772990886494,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000277,
+      "loss": 6.6184,
+      "mean_token_accuracy": 0.10709234476089477,
+      "num_tokens": 1019084.0,
+      "step": 555
+    },
+    {
+      "entropy": 6.7490733623504635,
+      "epoch": 0.463960231980116,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002795,
+      "loss": 6.5249,
+      "mean_token_accuracy": 0.10461713373661041,
+      "num_tokens": 1027263.0,
+      "step": 560
+    },
+    {
+      "entropy": 6.876884937286377,
+      "epoch": 0.46810273405136704,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00028199999999999997,
+      "loss": 6.6233,
+      "mean_token_accuracy": 0.09752989709377288,
+      "num_tokens": 1036275.0,
+      "step": 565
+    },
+    {
+      "entropy": 6.765736055374146,
+      "epoch": 0.47224523612261804,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002845,
+      "loss": 6.7015,
+      "mean_token_accuracy": 0.09858408868312836,
+      "num_tokens": 1045208.0,
+      "step": 570
+    },
+    {
+      "entropy": 6.9024957656860355,
+      "epoch": 0.4763877381938691,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000287,
+      "loss": 6.6287,
+      "mean_token_accuracy": 0.1026283286511898,
+      "num_tokens": 1054703.0,
+      "step": 575
+    },
+    {
+      "entropy": 6.647345924377442,
+      "epoch": 0.48053024026512015,
+      "grad_norm": 1.5,
+      "learning_rate": 0.0002895,
+      "loss": 6.4841,
+      "mean_token_accuracy": 0.10212503597140313,
+      "num_tokens": 1063652.0,
+      "step": 580
+    },
+    {
+      "entropy": 6.717900657653809,
+      "epoch": 0.48467274233637114,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000292,
+      "loss": 6.5873,
+      "mean_token_accuracy": 0.10145951434969902,
+      "num_tokens": 1072070.0,
+      "step": 585
+    },
+    {
+      "entropy": 6.997959756851197,
+      "epoch": 0.4888152444076222,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002945,
+      "loss": 6.6143,
+      "mean_token_accuracy": 0.10064447894692422,
+      "num_tokens": 1079992.0,
+      "step": 590
+    },
+    {
+      "entropy": 6.657160854339599,
+      "epoch": 0.49295774647887325,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000297,
+      "loss": 6.628,
+      "mean_token_accuracy": 0.10435748845338821,
+      "num_tokens": 1088862.0,
+      "step": 595
+    },
+    {
+      "entropy": 6.773271942138672,
+      "epoch": 0.4971002485501243,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002995,
+      "loss": 6.4317,
+      "mean_token_accuracy": 0.10795770138502121,
+      "num_tokens": 1097614.0,
+      "step": 600
+    },
+    {
+      "entropy": 6.7102379322052,
+      "epoch": 0.5012427506213754,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000302,
+      "loss": 6.6288,
+      "mean_token_accuracy": 0.10706980749964715,
+      "num_tokens": 1107347.0,
+      "step": 605
+    },
+    {
+      "entropy": 6.8672473430633545,
+      "epoch": 0.5053852526926264,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003045,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10073774978518486,
+      "num_tokens": 1116707.0,
+      "step": 610
+    },
+    {
+      "entropy": 6.764383840560913,
+      "epoch": 0.5095277547638773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000307,
+      "loss": 6.6549,
+      "mean_token_accuracy": 0.10234303548932075,
+      "num_tokens": 1126356.0,
+      "step": 615
+    },
+    {
+      "entropy": 6.787193298339844,
+      "epoch": 0.5136702568351285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003095,
+      "loss": 6.5847,
+      "mean_token_accuracy": 0.10079671740531922,
+      "num_tokens": 1136281.0,
+      "step": 620
+    },
+    {
+      "entropy": 6.713733196258545,
+      "epoch": 0.5178127589063795,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000312,
+      "loss": 6.5355,
+      "mean_token_accuracy": 0.10429632142186165,
+      "num_tokens": 1145466.0,
+      "step": 625
+    },
+    {
+      "entropy": 6.7503923892974855,
+      "epoch": 0.5219552609776305,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003145,
+      "loss": 6.5409,
+      "mean_token_accuracy": 0.10918259546160698,
+      "num_tokens": 1154225.0,
+      "step": 630
+    },
+    {
+      "entropy": 6.761834907531738,
+      "epoch": 0.5260977630488816,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000317,
+      "loss": 6.5885,
+      "mean_token_accuracy": 0.09673135951161385,
+      "num_tokens": 1163872.0,
+      "step": 635
+    },
+    {
+      "entropy": 6.69431324005127,
+      "epoch": 0.5302402651201326,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003195,
+      "loss": 6.5244,
+      "mean_token_accuracy": 0.10705070868134499,
+      "num_tokens": 1172695.0,
+      "step": 640
+    },
+    {
+      "entropy": 6.651590061187744,
+      "epoch": 0.5343827671913836,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000322,
+      "loss": 6.3962,
+      "mean_token_accuracy": 0.11006554961204529,
+      "num_tokens": 1181291.0,
+      "step": 645
+    },
+    {
+      "entropy": 6.782713270187378,
+      "epoch": 0.5385252692626347,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00032450000000000003,
+      "loss": 6.5715,
+      "mean_token_accuracy": 0.10394523739814758,
+      "num_tokens": 1189927.0,
+      "step": 650
+    },
+    {
+      "entropy": 6.705166435241699,
+      "epoch": 0.5426677713338857,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00032700000000000003,
+      "loss": 6.5043,
+      "mean_token_accuracy": 0.10940467119216919,
+      "num_tokens": 1197913.0,
+      "step": 655
+    },
+    {
+      "entropy": 6.670699262619019,
+      "epoch": 0.5468102734051367,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032950000000000004,
+      "loss": 6.4309,
+      "mean_token_accuracy": 0.11147961542010307,
+      "num_tokens": 1207032.0,
+      "step": 660
+    },
+    {
+      "entropy": 6.640204334259034,
+      "epoch": 0.5509527754763878,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00033200000000000005,
+      "loss": 6.5397,
+      "mean_token_accuracy": 0.10571447387337685,
+      "num_tokens": 1215710.0,
+      "step": 665
+    },
+    {
+      "entropy": 6.694819068908691,
+      "epoch": 0.5550952775476388,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033450000000000005,
+      "loss": 6.52,
+      "mean_token_accuracy": 0.10049431845545768,
+      "num_tokens": 1225619.0,
+      "step": 670
+    },
+    {
+      "entropy": 6.649594163894653,
+      "epoch": 0.5592377796188898,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000337,
+      "loss": 6.4407,
+      "mean_token_accuracy": 0.11157044768333435,
+      "num_tokens": 1235000.0,
+      "step": 675
+    },
+    {
+      "entropy": 6.612611961364746,
+      "epoch": 0.5633802816901409,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003395,
+      "loss": 6.4462,
+      "mean_token_accuracy": 0.108580531924963,
+      "num_tokens": 1243594.0,
+      "step": 680
+    },
+    {
+      "entropy": 6.843221950531006,
+      "epoch": 0.5675227837613919,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000342,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10460855960845947,
+      "num_tokens": 1252279.0,
+      "step": 685
+    },
+    {
+      "entropy": 6.760235929489136,
+      "epoch": 0.5716652858326429,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034449999999999997,
+      "loss": 6.559,
+      "mean_token_accuracy": 0.10665302500128745,
+      "num_tokens": 1261314.0,
+      "step": 690
+    },
+    {
+      "entropy": 6.55326566696167,
+      "epoch": 0.575807787903894,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000347,
+      "loss": 6.4337,
+      "mean_token_accuracy": 0.11188110187649727,
+      "num_tokens": 1270854.0,
+      "step": 695
+    },
+    {
+      "entropy": 6.618375587463379,
+      "epoch": 0.579950289975145,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003495,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.11392810270190239,
+      "num_tokens": 1279183.0,
+      "step": 700
+    },
+    {
+      "entropy": 6.626208257675171,
+      "epoch": 0.584092792046396,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000352,
+      "loss": 6.5015,
+      "mean_token_accuracy": 0.10761247500777245,
+      "num_tokens": 1288347.0,
+      "step": 705
+    },
+    {
+      "entropy": 6.6855669021606445,
+      "epoch": 0.5882352941176471,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003545,
+      "loss": 6.5036,
+      "mean_token_accuracy": 0.10823310390114785,
+      "num_tokens": 1297449.0,
+      "step": 710
+    },
+    {
+      "entropy": 6.710147094726563,
+      "epoch": 0.5923777961888981,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000357,
+      "loss": 6.4688,
+      "mean_token_accuracy": 0.10904998034238815,
+      "num_tokens": 1306232.0,
+      "step": 715
+    },
+    {
+      "entropy": 6.6553794860839846,
+      "epoch": 0.5965202982601492,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003595,
+      "loss": 6.4857,
+      "mean_token_accuracy": 0.11109372302889824,
+      "num_tokens": 1315073.0,
+      "step": 720
+    },
+    {
+      "entropy": 6.674065732955933,
+      "epoch": 0.6006628003314002,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000362,
+      "loss": 6.5301,
+      "mean_token_accuracy": 0.10648825243115426,
+      "num_tokens": 1324629.0,
+      "step": 725
+    },
+    {
+      "entropy": 6.700368881225586,
+      "epoch": 0.6048053024026512,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0003645,
+      "loss": 6.6444,
+      "mean_token_accuracy": 0.10443340390920638,
+      "num_tokens": 1334152.0,
+      "step": 730
+    },
+    {
+      "entropy": 6.779498624801636,
+      "epoch": 0.6089478044739023,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000367,
+      "loss": 6.5946,
+      "mean_token_accuracy": 0.10130336955189705,
+      "num_tokens": 1343063.0,
+      "step": 735
+    },
+    {
+      "entropy": 6.684298419952393,
+      "epoch": 0.6130903065451533,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0003695,
+      "loss": 6.5241,
+      "mean_token_accuracy": 0.10516620799899101,
+      "num_tokens": 1352632.0,
+      "step": 740
+    },
+    {
+      "entropy": 6.582866573333741,
+      "epoch": 0.6172328086164043,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000372,
+      "loss": 6.4712,
+      "mean_token_accuracy": 0.10765027329325676,
+      "num_tokens": 1361103.0,
+      "step": 745
+    },
+    {
+      "entropy": 6.643687963485718,
+      "epoch": 0.6213753106876554,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003745,
+      "loss": 6.4642,
+      "mean_token_accuracy": 0.10832677409052849,
+      "num_tokens": 1370658.0,
+      "step": 750
+    },
+    {
+      "entropy": 6.64506516456604,
+      "epoch": 0.6255178127589064,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000377,
+      "loss": 6.4878,
+      "mean_token_accuracy": 0.10808288529515267,
+      "num_tokens": 1379817.0,
+      "step": 755
+    },
+    {
+      "entropy": 6.640752458572388,
+      "epoch": 0.6296603148301574,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003795,
+      "loss": 6.4418,
+      "mean_token_accuracy": 0.10874675288796425,
+      "num_tokens": 1389329.0,
+      "step": 760
+    },
+    {
+      "entropy": 6.4627049446105955,
+      "epoch": 0.6338028169014085,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000382,
+      "loss": 6.4902,
+      "mean_token_accuracy": 0.10606684386730195,
+      "num_tokens": 1399279.0,
+      "step": 765
+    },
+    {
+      "entropy": 6.621781063079834,
+      "epoch": 0.6379453189726595,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003845,
+      "loss": 6.4146,
+      "mean_token_accuracy": 0.11267002299427986,
+      "num_tokens": 1408765.0,
+      "step": 770
+    },
+    {
+      "entropy": 6.736465692520142,
+      "epoch": 0.6420878210439105,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038700000000000003,
+      "loss": 6.5632,
+      "mean_token_accuracy": 0.10607504546642303,
+      "num_tokens": 1418615.0,
+      "step": 775
+    },
+    {
+      "entropy": 6.616378879547119,
+      "epoch": 0.6462303231151616,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038950000000000003,
+      "loss": 6.4664,
+      "mean_token_accuracy": 0.10207068845629692,
+      "num_tokens": 1427359.0,
+      "step": 780
+    },
+    {
+      "entropy": 6.70065336227417,
+      "epoch": 0.6503728251864126,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00039200000000000004,
+      "loss": 6.622,
+      "mean_token_accuracy": 0.1116428442299366,
+      "num_tokens": 1435516.0,
+      "step": 785
+    },
+    {
+      "entropy": 6.709064102172851,
+      "epoch": 0.6545153272576636,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00039450000000000005,
+      "loss": 6.5704,
+      "mean_token_accuracy": 0.10583743155002594,
+      "num_tokens": 1444438.0,
+      "step": 790
+    },
+    {
+      "entropy": 6.671351766586303,
+      "epoch": 0.6586578293289147,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00039700000000000005,
+      "loss": 6.4996,
+      "mean_token_accuracy": 0.11326526403427124,
+      "num_tokens": 1453740.0,
+      "step": 795
+    },
+    {
+      "entropy": 6.614573907852173,
+      "epoch": 0.6628003314001657,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003995,
+      "loss": 6.4874,
+      "mean_token_accuracy": 0.11111863479018211,
+      "num_tokens": 1462083.0,
+      "step": 800
+    },
+    {
+      "entropy": 6.484545516967773,
+      "epoch": 0.6669428334714167,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000402,
+      "loss": 6.4127,
+      "mean_token_accuracy": 0.1100592203438282,
+      "num_tokens": 1471459.0,
+      "step": 805
+    },
+    {
+      "entropy": 6.621589279174804,
+      "epoch": 0.6710853355426678,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004045,
+      "loss": 6.3972,
+      "mean_token_accuracy": 0.11681128293275833,
+      "num_tokens": 1480516.0,
+      "step": 810
+    },
+    {
+      "entropy": 6.421737241744995,
+      "epoch": 0.6752278376139188,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00040699999999999997,
+      "loss": 6.3,
+      "mean_token_accuracy": 0.11318568140268326,
+      "num_tokens": 1489268.0,
+      "step": 815
+    },
+    {
+      "entropy": 6.700246906280517,
+      "epoch": 0.6793703396851698,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004095,
+      "loss": 6.5174,
+      "mean_token_accuracy": 0.11110908538103104,
+      "num_tokens": 1498819.0,
+      "step": 820
+    },
+    {
+      "entropy": 6.622490644454956,
+      "epoch": 0.6835128417564209,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000412,
+      "loss": 6.501,
+      "mean_token_accuracy": 0.11033953949809075,
+      "num_tokens": 1507852.0,
+      "step": 825
+    },
+    {
+      "entropy": 6.59730544090271,
+      "epoch": 0.6876553438276719,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004145,
+      "loss": 6.5302,
+      "mean_token_accuracy": 0.11122860461473465,
+      "num_tokens": 1517538.0,
+      "step": 830
+    },
+    {
+      "entropy": 6.458763217926025,
+      "epoch": 0.6917978458989229,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000417,
+      "loss": 6.4061,
+      "mean_token_accuracy": 0.11324542313814163,
+      "num_tokens": 1525389.0,
+      "step": 835
+    },
+    {
+      "entropy": 6.57511887550354,
+      "epoch": 0.695940347970174,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004195,
+      "loss": 6.3741,
+      "mean_token_accuracy": 0.11116622686386109,
+      "num_tokens": 1534117.0,
+      "step": 840
+    },
+    {
+      "entropy": 6.522304344177246,
+      "epoch": 0.700082850041425,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000422,
+      "loss": 6.4029,
+      "mean_token_accuracy": 0.11315450444817543,
+      "num_tokens": 1542610.0,
+      "step": 845
+    },
+    {
+      "entropy": 6.5175107479095455,
+      "epoch": 0.704225352112676,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004245,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.1143906556069851,
+      "num_tokens": 1551771.0,
+      "step": 850
+    },
+    {
+      "entropy": 6.620167636871338,
+      "epoch": 0.7083678541839271,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.000427,
+      "loss": 6.5779,
+      "mean_token_accuracy": 0.10512799099087715,
+      "num_tokens": 1560231.0,
+      "step": 855
+    },
+    {
+      "entropy": 6.589151382446289,
+      "epoch": 0.7125103562551781,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004295,
+      "loss": 6.5346,
+      "mean_token_accuracy": 0.10532297939062119,
+      "num_tokens": 1569578.0,
+      "step": 860
+    },
+    {
+      "entropy": 6.563750839233398,
+      "epoch": 0.7166528583264291,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000432,
+      "loss": 6.4187,
+      "mean_token_accuracy": 0.11381370946764946,
+      "num_tokens": 1579308.0,
+      "step": 865
+    },
+    {
+      "entropy": 6.597287034988403,
+      "epoch": 0.7207953603976802,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004345,
+      "loss": 6.6081,
+      "mean_token_accuracy": 0.10267190784215927,
+      "num_tokens": 1589506.0,
+      "step": 870
+    },
+    {
+      "entropy": 6.482245397567749,
+      "epoch": 0.7249378624689312,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000437,
+      "loss": 6.3671,
+      "mean_token_accuracy": 0.11368186473846435,
+      "num_tokens": 1598127.0,
+      "step": 875
+    },
+    {
+      "entropy": 6.548954200744629,
+      "epoch": 0.7290803645401823,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004395,
+      "loss": 6.4125,
+      "mean_token_accuracy": 0.11406067088246345,
+      "num_tokens": 1608073.0,
+      "step": 880
+    },
+    {
+      "entropy": 6.551317119598389,
+      "epoch": 0.7332228666114333,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000442,
+      "loss": 6.4304,
+      "mean_token_accuracy": 0.11178040653467178,
+      "num_tokens": 1616272.0,
+      "step": 885
+    },
+    {
+      "entropy": 6.496135663986206,
+      "epoch": 0.7373653686826843,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004445,
+      "loss": 6.447,
+      "mean_token_accuracy": 0.10845504105091094,
+      "num_tokens": 1625577.0,
+      "step": 890
+    },
+    {
+      "entropy": 6.685812950134277,
+      "epoch": 0.7415078707539354,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000447,
+      "loss": 6.533,
+      "mean_token_accuracy": 0.10158233270049095,
+      "num_tokens": 1634902.0,
+      "step": 895
+    },
+    {
+      "entropy": 6.520436191558838,
+      "epoch": 0.7456503728251864,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00044950000000000003,
+      "loss": 6.4674,
+      "mean_token_accuracy": 0.10865833014249801,
+      "num_tokens": 1644131.0,
+      "step": 900
+    },
+    {
+      "entropy": 6.461379718780518,
+      "epoch": 0.7497928748964374,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00045200000000000004,
+      "loss": 6.3694,
+      "mean_token_accuracy": 0.12158194407820702,
+      "num_tokens": 1652272.0,
+      "step": 905
+    },
+    {
+      "entropy": 6.533070278167725,
+      "epoch": 0.7539353769676885,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00045450000000000004,
+      "loss": 6.4632,
+      "mean_token_accuracy": 0.11447574123740197,
+      "num_tokens": 1660962.0,
+      "step": 910
+    },
+    {
+      "entropy": 6.475569725036621,
+      "epoch": 0.7580778790389395,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045700000000000005,
+      "loss": 6.4006,
+      "mean_token_accuracy": 0.11205699220299721,
+      "num_tokens": 1670570.0,
+      "step": 915
+    },
+    {
+      "entropy": 6.526782608032226,
+      "epoch": 0.7622203811101905,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00045950000000000006,
+      "loss": 6.4497,
+      "mean_token_accuracy": 0.1096197433769703,
+      "num_tokens": 1679674.0,
+      "step": 920
+    },
+    {
+      "entropy": 6.530770015716553,
+      "epoch": 0.7663628831814416,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000462,
+      "loss": 6.4324,
+      "mean_token_accuracy": 0.11466658413410187,
+      "num_tokens": 1688849.0,
+      "step": 925
+    },
+    {
+      "entropy": 6.4163538932800295,
+      "epoch": 0.7705053852526926,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004645,
+      "loss": 6.3128,
+      "mean_token_accuracy": 0.1098814107477665,
+      "num_tokens": 1698565.0,
+      "step": 930
+    },
+    {
+      "entropy": 6.5036052703857425,
+      "epoch": 0.7746478873239436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000467,
+      "loss": 6.3986,
+      "mean_token_accuracy": 0.11683695837855339,
+      "num_tokens": 1708009.0,
+      "step": 935
+    },
+    {
+      "entropy": 6.518198871612549,
+      "epoch": 0.7787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004695,
+      "loss": 6.3878,
+      "mean_token_accuracy": 0.1126109592616558,
+      "num_tokens": 1716497.0,
+      "step": 940
+    },
+    {
+      "entropy": 6.415347719192505,
+      "epoch": 0.7829328914664457,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000472,
+      "loss": 6.4082,
+      "mean_token_accuracy": 0.12070046439766884,
+      "num_tokens": 1725609.0,
+      "step": 945
+    },
+    {
+      "entropy": 6.477306175231933,
+      "epoch": 0.7870753935376967,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004745,
+      "loss": 6.3456,
+      "mean_token_accuracy": 0.11454906165599824,
+      "num_tokens": 1734165.0,
+      "step": 950
+    },
+    {
+      "entropy": 6.454520893096924,
+      "epoch": 0.7912178956089478,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000477,
+      "loss": 6.4546,
+      "mean_token_accuracy": 0.10918105840682983,
+      "num_tokens": 1744856.0,
+      "step": 955
+    },
+    {
+      "entropy": 6.4711943626403805,
+      "epoch": 0.7953603976801988,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004795,
+      "loss": 6.4509,
+      "mean_token_accuracy": 0.10578904524445534,
+      "num_tokens": 1753386.0,
+      "step": 960
+    },
+    {
+      "entropy": 6.4536961078643795,
+      "epoch": 0.7995028997514498,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000482,
+      "loss": 6.3053,
+      "mean_token_accuracy": 0.11872726455330848,
+      "num_tokens": 1762521.0,
+      "step": 965
+    },
+    {
+      "entropy": 6.34936490058899,
+      "epoch": 0.8036454018227009,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004845,
+      "loss": 6.3765,
+      "mean_token_accuracy": 0.11444728896021843,
+      "num_tokens": 1772403.0,
+      "step": 970
+    },
+    {
+      "entropy": 6.375087881088257,
+      "epoch": 0.8077879038939519,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000487,
+      "loss": 6.2884,
+      "mean_token_accuracy": 0.11179185584187508,
+      "num_tokens": 1780924.0,
+      "step": 975
+    },
+    {
+      "entropy": 6.547906732559204,
+      "epoch": 0.8119304059652029,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004895,
+      "loss": 6.4367,
+      "mean_token_accuracy": 0.11225800514221192,
+      "num_tokens": 1789992.0,
+      "step": 980
+    },
+    {
+      "entropy": 6.421040678024292,
+      "epoch": 0.816072908036454,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000492,
+      "loss": 6.3919,
+      "mean_token_accuracy": 0.11761699616909027,
+      "num_tokens": 1799513.0,
+      "step": 985
+    },
+    {
+      "entropy": 6.332476711273193,
+      "epoch": 0.820215410107705,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0004945,
+      "loss": 6.2287,
+      "mean_token_accuracy": 0.11279567033052444,
+      "num_tokens": 1807393.0,
+      "step": 990
+    },
+    {
+      "entropy": 6.438618326187134,
+      "epoch": 0.824357912178956,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000497,
+      "loss": 6.5079,
+      "mean_token_accuracy": 0.10579989776015282,
+      "num_tokens": 1817284.0,
+      "step": 995
+    },
+    {
+      "entropy": 6.449818515777588,
+      "epoch": 0.8285004142502072,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004995,
+      "loss": 6.2996,
+      "mean_token_accuracy": 0.11799877136945724,
+      "num_tokens": 1825591.0,
+      "step": 1000
+    },
+    {
+      "epoch": 0.8285004142502072,
+      "eval_entropy": 6.222835092402216,
+      "eval_loss": 6.475013256072998,
+      "eval_mean_token_accuracy": 0.11269166863866961,
+      "eval_num_tokens": 1825591.0,
+      "eval_runtime": 2.7611,
+      "eval_samples_per_second": 1357.068,
+      "eval_steps_per_second": 169.86,
+      "step": 1000
+    },
+    {
+      "entropy": 6.457831478118896,
+      "epoch": 0.8326429163214581,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0004999998547681232,
+      "loss": 6.3959,
+      "mean_token_accuracy": 0.11798396334052086,
+      "num_tokens": 1834655.0,
+      "step": 1005
+    },
+    {
+      "entropy": 6.26599349975586,
+      "epoch": 0.8367854183927091,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004999992647639447,
+      "loss": 6.2578,
+      "mean_token_accuracy": 0.11858200430870056,
+      "num_tokens": 1844187.0,
+      "step": 1010
+    },
+    {
+      "entropy": 6.415271520614624,
+      "epoch": 0.8409279204639603,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999982209116618,
+      "loss": 6.3345,
+      "mean_token_accuracy": 0.11406200677156449,
+      "num_tokens": 1852768.0,
+      "step": 1015
+    },
+    {
+      "entropy": 6.355557584762574,
+      "epoch": 0.8450704225352113,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004999967232133796,
+      "loss": 6.3913,
+      "mean_token_accuracy": 0.12348653748631477,
+      "num_tokens": 1862095.0,
+      "step": 1020
+    },
+    {
+      "entropy": 6.427043008804321,
+      "epoch": 0.8492129246064622,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004999947716721196,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.10961534604430198,
+      "num_tokens": 1871239.0,
+      "step": 1025
+    },
+    {
+      "entropy": 6.509608554840088,
+      "epoch": 0.8533554266777134,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004999923662918179,
+      "loss": 6.4323,
+      "mean_token_accuracy": 0.11334251016378402,
+      "num_tokens": 1880065.0,
+      "step": 1030
+    },
+    {
+      "entropy": 6.417975521087646,
+      "epoch": 0.8574979287489644,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999895070773266,
+      "loss": 6.4608,
+      "mean_token_accuracy": 0.10985229611396789,
+      "num_tokens": 1889065.0,
+      "step": 1035
+    },
+    {
+      "entropy": 6.429206514358521,
+      "epoch": 0.8616404308202155,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999861940344129,
+      "loss": 6.4721,
+      "mean_token_accuracy": 0.11190373301506043,
+      "num_tokens": 1898238.0,
+      "step": 1040
+    },
+    {
+      "entropy": 6.462369585037232,
+      "epoch": 0.8657829328914665,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004999824271697597,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.12136606723070145,
+      "num_tokens": 1906780.0,
+      "step": 1045
+    },
+    {
+      "entropy": 6.506088638305664,
+      "epoch": 0.8699254349627175,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000499978206490965,
+      "loss": 6.4745,
+      "mean_token_accuracy": 0.11197563111782075,
+      "num_tokens": 1916183.0,
+      "step": 1050
+    },
+    {
+      "entropy": 6.427097368240356,
+      "epoch": 0.8740679370339686,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999735320065427,
+      "loss": 6.3371,
+      "mean_token_accuracy": 0.11927392706274986,
+      "num_tokens": 1925382.0,
+      "step": 1055
+    },
+    {
+      "entropy": 6.292429256439209,
+      "epoch": 0.8782104391052196,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999684037259216,
+      "loss": 6.1827,
+      "mean_token_accuracy": 0.1270924136042595,
+      "num_tokens": 1933639.0,
+      "step": 1060
+    },
+    {
+      "entropy": 6.3600146770477295,
+      "epoch": 0.8823529411764706,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999628216594456,
+      "loss": 6.464,
+      "mean_token_accuracy": 0.11409285366535186,
+      "num_tokens": 1943044.0,
+      "step": 1065
+    },
+    {
+      "entropy": 6.460871028900146,
+      "epoch": 0.8864954432477217,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000499956785818375,
+      "loss": 6.303,
+      "mean_token_accuracy": 0.11871922463178634,
+      "num_tokens": 1951777.0,
+      "step": 1070
+    },
+    {
+      "entropy": 6.376981210708618,
+      "epoch": 0.8906379453189727,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004999502962148843,
+      "loss": 6.3666,
+      "mean_token_accuracy": 0.1170460693538189,
+      "num_tokens": 1961356.0,
+      "step": 1075
+    },
+    {
+      "entropy": 6.439280414581299,
+      "epoch": 0.8947804473902237,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000499943352862064,
+      "loss": 6.4248,
+      "mean_token_accuracy": 0.11459407210350037,
+      "num_tokens": 1970341.0,
+      "step": 1080
+    },
+    {
+      "entropy": 6.394289827346801,
+      "epoch": 0.8989229494614748,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004999359557739194,
+      "loss": 6.2796,
+      "mean_token_accuracy": 0.12198276743292809,
+      "num_tokens": 1978576.0,
+      "step": 1085
+    },
+    {
+      "entropy": 6.319045782089233,
+      "epoch": 0.9030654515327258,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004999281049653713,
+      "loss": 6.3227,
+      "mean_token_accuracy": 0.11601013913750649,
+      "num_tokens": 1987229.0,
+      "step": 1090
+    },
+    {
+      "entropy": 6.376017141342163,
+      "epoch": 0.9072079536039768,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999198004522557,
+      "loss": 6.261,
+      "mean_token_accuracy": 0.12269015237689018,
+      "num_tokens": 1996473.0,
+      "step": 1095
+    },
+    {
+      "entropy": 6.2405853271484375,
+      "epoch": 0.9113504556752279,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999110422513237,
+      "loss": 6.286,
+      "mean_token_accuracy": 0.12056776732206345,
+      "num_tokens": 2005551.0,
+      "step": 1100
+    },
+    {
+      "entropy": 6.398191165924072,
+      "epoch": 0.9154929577464789,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999018303802414,
+      "loss": 6.3869,
+      "mean_token_accuracy": 0.11947718560695648,
+      "num_tokens": 2015012.0,
+      "step": 1105
+    },
+    {
+      "entropy": 6.374700450897217,
+      "epoch": 0.9196354598177299,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004998921648575904,
+      "loss": 6.3999,
+      "mean_token_accuracy": 0.1203969657421112,
+      "num_tokens": 2024435.0,
+      "step": 1110
+    },
+    {
+      "entropy": 6.380674362182617,
+      "epoch": 0.923777961888981,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004998820457028669,
+      "loss": 6.3005,
+      "mean_token_accuracy": 0.12089794874191284,
+      "num_tokens": 2033991.0,
+      "step": 1115
+    },
+    {
+      "entropy": 6.409522771835327,
+      "epoch": 0.927920463960232,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998714729364824,
+      "loss": 6.3017,
+      "mean_token_accuracy": 0.1228084571659565,
+      "num_tokens": 2043117.0,
+      "step": 1120
+    },
+    {
+      "entropy": 6.326260423660278,
+      "epoch": 0.932062966031483,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004998604465797634,
+      "loss": 6.3305,
+      "mean_token_accuracy": 0.11992078274488449,
+      "num_tokens": 2052304.0,
+      "step": 1125
+    },
+    {
+      "entropy": 6.251798295974732,
+      "epoch": 0.9362054681027341,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998489666549512,
+      "loss": 6.2779,
+      "mean_token_accuracy": 0.12114684730768203,
+      "num_tokens": 2061217.0,
+      "step": 1130
+    },
+    {
+      "entropy": 6.319644594192505,
+      "epoch": 0.9403479701739851,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.0004998370331852021,
+      "loss": 6.2517,
+      "mean_token_accuracy": 0.11879112273454666,
+      "num_tokens": 2070796.0,
+      "step": 1135
+    },
+    {
+      "entropy": 6.465651321411133,
+      "epoch": 0.9444904722452361,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004998246461945872,
+      "loss": 6.4037,
+      "mean_token_accuracy": 0.12191760018467904,
+      "num_tokens": 2080202.0,
+      "step": 1140
+    },
+    {
+      "entropy": 6.320812797546386,
+      "epoch": 0.9486329743164872,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004998118057080923,
+      "loss": 6.3045,
+      "mean_token_accuracy": 0.11891168132424354,
+      "num_tokens": 2089788.0,
+      "step": 1145
+    },
+    {
+      "entropy": 6.301202344894409,
+      "epoch": 0.9527754763877382,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004997985117516183,
+      "loss": 6.3462,
+      "mean_token_accuracy": 0.11142431199550629,
+      "num_tokens": 2098727.0,
+      "step": 1150
+    },
+    {
+      "entropy": 6.344118309020996,
+      "epoch": 0.9569179784589892,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997847643519803,
+      "loss": 6.226,
+      "mean_token_accuracy": 0.11924557387828827,
+      "num_tokens": 2107645.0,
+      "step": 1155
+    },
+    {
+      "entropy": 6.1790977954864506,
+      "epoch": 0.9610604805302403,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997705635369085,
+      "loss": 6.1991,
+      "mean_token_accuracy": 0.11988648250699044,
+      "num_tokens": 2116613.0,
+      "step": 1160
+    },
+    {
+      "entropy": 6.284418439865112,
+      "epoch": 0.9652029826014913,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004997559093350474,
+      "loss": 6.1881,
+      "mean_token_accuracy": 0.12116428092122078,
+      "num_tokens": 2125585.0,
+      "step": 1165
+    },
+    {
+      "entropy": 6.396596622467041,
+      "epoch": 0.9693454846727423,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004997408017759562,
+      "loss": 6.3359,
+      "mean_token_accuracy": 0.11936862170696258,
+      "num_tokens": 2134795.0,
+      "step": 1170
+    },
+    {
+      "entropy": 6.273751878738404,
+      "epoch": 0.9734879867439934,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004997252408901084,
+      "loss": 6.3271,
+      "mean_token_accuracy": 0.11899949684739113,
+      "num_tokens": 2143699.0,
+      "step": 1175
+    },
+    {
+      "entropy": 6.386678028106689,
+      "epoch": 0.9776304888152444,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004997092267088922,
+      "loss": 6.2707,
+      "mean_token_accuracy": 0.11861606612801552,
+      "num_tokens": 2152187.0,
+      "step": 1180
+    },
+    {
+      "entropy": 6.275117111206055,
+      "epoch": 0.9817729908864954,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004996927592646097,
+      "loss": 6.3412,
+      "mean_token_accuracy": 0.11767763197422028,
+      "num_tokens": 2160941.0,
+      "step": 1185
+    },
+    {
+      "entropy": 6.339710283279419,
+      "epoch": 0.9859154929577465,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004996758385904776,
+      "loss": 6.3119,
+      "mean_token_accuracy": 0.11789651140570641,
+      "num_tokens": 2168946.0,
+      "step": 1190
+    },
+    {
+      "entropy": 6.181374216079712,
+      "epoch": 0.9900579950289975,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004996584647206269,
+      "loss": 6.2237,
+      "mean_token_accuracy": 0.12055367529392243,
+      "num_tokens": 2177662.0,
+      "step": 1195
+    },
+    {
+      "entropy": 6.316773986816406,
+      "epoch": 0.9942004971002486,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004996406376901026,
+      "loss": 6.3268,
+      "mean_token_accuracy": 0.12757316455245019,
+      "num_tokens": 2187461.0,
+      "step": 1200
+    },
+    {
+      "entropy": 6.283385133743286,
+      "epoch": 0.9983429991714996,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004996223575348635,
+      "loss": 6.2207,
+      "mean_token_accuracy": 0.12578138560056687,
+      "num_tokens": 2196878.0,
+      "step": 1205
+    },
+    {
+      "entropy": 6.311019659042358,
+      "epoch": 1.0024855012427507,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004996036242917828,
+      "loss": 6.2021,
+      "mean_token_accuracy": 0.1151522897183895,
+      "num_tokens": 2206178.0,
+      "step": 1210
+    },
+    {
+      "entropy": 6.25421667098999,
+      "epoch": 1.0066280033140016,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004995844379986476,
+      "loss": 6.0526,
+      "mean_token_accuracy": 0.12476176023483276,
+      "num_tokens": 2215330.0,
+      "step": 1215
+    },
+    {
+      "entropy": 6.309921216964722,
+      "epoch": 1.0107705053852527,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004995647986941587,
+      "loss": 6.0354,
+      "mean_token_accuracy": 0.13005029112100602,
+      "num_tokens": 2224146.0,
+      "step": 1220
+    },
+    {
+      "entropy": 6.241363286972046,
+      "epoch": 1.0149130074565038,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004995447064179308,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13421598002314566,
+      "num_tokens": 2233646.0,
+      "step": 1225
+    },
+    {
+      "entropy": 6.058859920501709,
+      "epoch": 1.0190555095277547,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.000499524161210492,
+      "loss": 5.9379,
+      "mean_token_accuracy": 0.12560308948159218,
+      "num_tokens": 2243663.0,
+      "step": 1230
+    },
+    {
+      "entropy": 6.270004224777222,
+      "epoch": 1.0231980115990058,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004995031631132844,
+      "loss": 6.1035,
+      "mean_token_accuracy": 0.13170127123594283,
+      "num_tokens": 2252564.0,
+      "step": 1235
+    },
+    {
+      "entropy": 6.2710247993469235,
+      "epoch": 1.027340513670257,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004994817121686633,
+      "loss": 6.099,
+      "mean_token_accuracy": 0.12465815395116805,
+      "num_tokens": 2262504.0,
+      "step": 1240
+    },
+    {
+      "entropy": 6.193396997451782,
+      "epoch": 1.0314830157415078,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004994598084198979,
+      "loss": 5.9843,
+      "mean_token_accuracy": 0.1374910719692707,
+      "num_tokens": 2270553.0,
+      "step": 1245
+    },
+    {
+      "entropy": 6.136552810668945,
+      "epoch": 1.035625517812759,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004994374519111701,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.1272726461291313,
+      "num_tokens": 2279319.0,
+      "step": 1250
+    },
+    {
+      "entropy": 6.217378282546997,
+      "epoch": 1.03976801988401,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004994146426875757,
+      "loss": 6.123,
+      "mean_token_accuracy": 0.126935476064682,
+      "num_tokens": 2288749.0,
+      "step": 1255
+    },
+    {
+      "entropy": 6.218695068359375,
+      "epoch": 1.043910521955261,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004993913807951232,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.12562426924705505,
+      "num_tokens": 2298272.0,
+      "step": 1260
+    },
+    {
+      "entropy": 6.221994352340698,
+      "epoch": 1.048053024026512,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004993676662807345,
+      "loss": 6.047,
+      "mean_token_accuracy": 0.12884460240602494,
+      "num_tokens": 2307230.0,
+      "step": 1265
+    },
+    {
+      "entropy": 6.183428144454956,
+      "epoch": 1.0521955260977631,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004993434991922443,
+      "loss": 6.1317,
+      "mean_token_accuracy": 0.12460145726799965,
+      "num_tokens": 2316306.0,
+      "step": 1270
+    },
+    {
+      "entropy": 6.22090425491333,
+      "epoch": 1.056338028169014,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004993188795784002,
+      "loss": 6.0531,
+      "mean_token_accuracy": 0.1241947129368782,
+      "num_tokens": 2325672.0,
+      "step": 1275
+    },
+    {
+      "entropy": 6.1453857421875,
+      "epoch": 1.0604805302402651,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004992938074888628,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.1274007849395275,
+      "num_tokens": 2335251.0,
+      "step": 1280
+    },
+    {
+      "entropy": 6.180039167404175,
+      "epoch": 1.0646230323115162,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004992682829742052,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.1308726042509079,
+      "num_tokens": 2344054.0,
+      "step": 1285
+    },
+    {
+      "entropy": 6.086296463012696,
+      "epoch": 1.0687655343827671,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004992423060859132,
+      "loss": 6.0236,
+      "mean_token_accuracy": 0.127706591039896,
+      "num_tokens": 2353493.0,
+      "step": 1290
+    },
+    {
+      "entropy": 6.223158740997315,
+      "epoch": 1.0729080364540182,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004992158768763849,
+      "loss": 6.1321,
+      "mean_token_accuracy": 0.12850543335080147,
+      "num_tokens": 2362687.0,
+      "step": 1295
+    },
+    {
+      "entropy": 6.2506636619567875,
+      "epoch": 1.0770505385252693,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004991889953989308,
+      "loss": 6.0965,
+      "mean_token_accuracy": 0.12563316524028778,
+      "num_tokens": 2372325.0,
+      "step": 1300
+    },
+    {
+      "entropy": 6.173602199554443,
+      "epoch": 1.0811930405965202,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004991616617077741,
+      "loss": 6.12,
+      "mean_token_accuracy": 0.1287991665303707,
+      "num_tokens": 2381987.0,
+      "step": 1305
+    },
+    {
+      "entropy": 6.307486963272095,
+      "epoch": 1.0853355426677713,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004991338758580496,
+      "loss": 6.0234,
+      "mean_token_accuracy": 0.13178783878684044,
+      "num_tokens": 2390901.0,
+      "step": 1310
+    },
+    {
+      "entropy": 6.034789133071899,
+      "epoch": 1.0894780447390224,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004991056379058045,
+      "loss": 6.0813,
+      "mean_token_accuracy": 0.12450421676039695,
+      "num_tokens": 2400756.0,
+      "step": 1315
+    },
+    {
+      "entropy": 6.188017988204956,
+      "epoch": 1.0936205468102733,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004990769479079976,
+      "loss": 5.9232,
+      "mean_token_accuracy": 0.12984196096658707,
+      "num_tokens": 2409526.0,
+      "step": 1320
+    },
+    {
+      "entropy": 6.086554956436157,
+      "epoch": 1.0977630488815244,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004990478059225003,
+      "loss": 6.0931,
+      "mean_token_accuracy": 0.12972966134548186,
+      "num_tokens": 2419583.0,
+      "step": 1325
+    },
+    {
+      "entropy": 6.2457873821258545,
+      "epoch": 1.1019055509527755,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004990182120080945,
+      "loss": 6.0338,
+      "mean_token_accuracy": 0.12990806251764297,
+      "num_tokens": 2429439.0,
+      "step": 1330
+    },
+    {
+      "entropy": 6.078778219223023,
+      "epoch": 1.1060480530240264,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004989881662244748,
+      "loss": 6.0416,
+      "mean_token_accuracy": 0.12380676046013832,
+      "num_tokens": 2438467.0,
+      "step": 1335
+    },
+    {
+      "entropy": 6.138932418823242,
+      "epoch": 1.1101905550952775,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004989576686322468,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.1332716926932335,
+      "num_tokens": 2446619.0,
+      "step": 1340
+    },
+    {
+      "entropy": 6.1281578540802,
+      "epoch": 1.1143330571665286,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004989267192929272,
+      "loss": 6.0379,
+      "mean_token_accuracy": 0.12955363765358924,
+      "num_tokens": 2454998.0,
+      "step": 1345
+    },
+    {
+      "entropy": 6.09554443359375,
+      "epoch": 1.1184755592377795,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004988953182689445,
+      "loss": 6.0072,
+      "mean_token_accuracy": 0.13532012328505516,
+      "num_tokens": 2463497.0,
+      "step": 1350
+    },
+    {
+      "entropy": 6.134703922271728,
+      "epoch": 1.1226180613090306,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004988634656236378,
+      "loss": 5.9216,
+      "mean_token_accuracy": 0.13609320148825646,
+      "num_tokens": 2471763.0,
+      "step": 1355
+    },
+    {
+      "entropy": 6.145527791976929,
+      "epoch": 1.1267605633802817,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004988311614212576,
+      "loss": 6.0016,
+      "mean_token_accuracy": 0.1402701161801815,
+      "num_tokens": 2479949.0,
+      "step": 1360
+    },
+    {
+      "entropy": 6.116470623016357,
+      "epoch": 1.1309030654515326,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004987984057269648,
+      "loss": 6.0539,
+      "mean_token_accuracy": 0.13444141745567323,
+      "num_tokens": 2489097.0,
+      "step": 1365
+    },
+    {
+      "entropy": 5.972180604934692,
+      "epoch": 1.1350455675227837,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004987651986068311,
+      "loss": 5.8781,
+      "mean_token_accuracy": 0.13601028621196748,
+      "num_tokens": 2497625.0,
+      "step": 1370
+    },
+    {
+      "entropy": 6.143597984313965,
+      "epoch": 1.1391880695940348,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004987315401278394,
+      "loss": 6.1252,
+      "mean_token_accuracy": 0.1272761717438698,
+      "num_tokens": 2507107.0,
+      "step": 1375
+    },
+    {
+      "entropy": 6.286170959472656,
+      "epoch": 1.143330571665286,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004986974303578819,
+      "loss": 6.1408,
+      "mean_token_accuracy": 0.12348597794771195,
+      "num_tokens": 2516629.0,
+      "step": 1380
+    },
+    {
+      "entropy": 6.077923250198364,
+      "epoch": 1.1474730737365368,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004986628693657621,
+      "loss": 6.021,
+      "mean_token_accuracy": 0.1280151717364788,
+      "num_tokens": 2525924.0,
+      "step": 1385
+    },
+    {
+      "entropy": 6.229060649871826,
+      "epoch": 1.151615575807788,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004986278572211933,
+      "loss": 6.1723,
+      "mean_token_accuracy": 0.1280426375567913,
+      "num_tokens": 2535586.0,
+      "step": 1390
+    },
+    {
+      "entropy": 6.189875984191895,
+      "epoch": 1.1557580778790388,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004985923939947987,
+      "loss": 6.2595,
+      "mean_token_accuracy": 0.1247698113322258,
+      "num_tokens": 2546685.0,
+      "step": 1395
+    },
+    {
+      "entropy": 6.148470640182495,
+      "epoch": 1.15990057995029,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004985564797581115,
+      "loss": 5.9681,
+      "mean_token_accuracy": 0.12971177995204924,
+      "num_tokens": 2556873.0,
+      "step": 1400
+    },
+    {
+      "entropy": 6.143459701538086,
+      "epoch": 1.164043082021541,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004985201145835747,
+      "loss": 5.9836,
+      "mean_token_accuracy": 0.13127154856920242,
+      "num_tokens": 2565222.0,
+      "step": 1405
+    },
+    {
+      "entropy": 6.031957960128784,
+      "epoch": 1.1681855840927922,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.000498483298544541,
+      "loss": 5.9875,
+      "mean_token_accuracy": 0.13211632743477822,
+      "num_tokens": 2575467.0,
+      "step": 1410
+    },
+    {
+      "entropy": 6.136318731307983,
+      "epoch": 1.172328086164043,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000498446031715272,
+      "loss": 6.0125,
+      "mean_token_accuracy": 0.13508019223809242,
+      "num_tokens": 2583963.0,
+      "step": 1415
+    },
+    {
+      "entropy": 6.133963680267334,
+      "epoch": 1.1764705882352942,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004984083141709391,
+      "loss": 6.042,
+      "mean_token_accuracy": 0.13524071872234344,
+      "num_tokens": 2593350.0,
+      "step": 1420
+    },
+    {
+      "entropy": 5.975436115264893,
+      "epoch": 1.180613090306545,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000498370145987623,
+      "loss": 5.9652,
+      "mean_token_accuracy": 0.13682079091668128,
+      "num_tokens": 2602191.0,
+      "step": 1425
+    },
+    {
+      "entropy": 6.170718050003051,
+      "epoch": 1.1847555923777962,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004983315272423127,
+      "loss": 6.0999,
+      "mean_token_accuracy": 0.1291058838367462,
+      "num_tokens": 2613590.0,
+      "step": 1430
+    },
+    {
+      "entropy": 6.049332237243652,
+      "epoch": 1.1888980944490473,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004982924580129066,
+      "loss": 5.8895,
+      "mean_token_accuracy": 0.1340464949607849,
+      "num_tokens": 2622072.0,
+      "step": 1435
+    },
+    {
+      "entropy": 6.093293142318726,
+      "epoch": 1.1930405965202984,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004982529383782116,
+      "loss": 6.1012,
+      "mean_token_accuracy": 0.13022035285830497,
+      "num_tokens": 2630904.0,
+      "step": 1440
+    },
+    {
+      "entropy": 6.189996242523193,
+      "epoch": 1.1971830985915493,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004982129684179432,
+      "loss": 6.0594,
+      "mean_token_accuracy": 0.13088259026408194,
+      "num_tokens": 2639925.0,
+      "step": 1445
+    },
+    {
+      "entropy": 6.1187131881713865,
+      "epoch": 1.2013256006628004,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004981725482127251,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.13439981341362,
+      "num_tokens": 2649397.0,
+      "step": 1450
+    },
+    {
+      "entropy": 6.16315655708313,
+      "epoch": 1.2054681027340513,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004981316778440892,
+      "loss": 6.081,
+      "mean_token_accuracy": 0.13515593931078912,
+      "num_tokens": 2658877.0,
+      "step": 1455
+    },
+    {
+      "entropy": 6.063838720321655,
+      "epoch": 1.2096106048053024,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004980903573944756,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13121431767940522,
+      "num_tokens": 2668518.0,
+      "step": 1460
+    },
+    {
+      "entropy": 6.059180212020874,
+      "epoch": 1.2137531068765535,
+      "grad_norm": 1.0078125,
+      "learning_rate": 0.0004980485869472322,
+      "loss": 6.1148,
+      "mean_token_accuracy": 0.12996160089969636,
+      "num_tokens": 2677459.0,
+      "step": 1465
+    },
+    {
+      "entropy": 6.223527908325195,
+      "epoch": 1.2178956089478046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004980063665866143,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12482839822769165,
+      "num_tokens": 2686668.0,
+      "step": 1470
+    },
+    {
+      "entropy": 5.935272264480591,
+      "epoch": 1.2220381110190555,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004979636963977853,
+      "loss": 5.8825,
+      "mean_token_accuracy": 0.1352998949587345,
+      "num_tokens": 2695545.0,
+      "step": 1475
+    },
+    {
+      "entropy": 6.066101598739624,
+      "epoch": 1.2261806130903066,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004979205764668156,
+      "loss": 6.0569,
+      "mean_token_accuracy": 0.13228241056203843,
+      "num_tokens": 2705514.0,
+      "step": 1480
+    },
+    {
+      "entropy": 6.138315343856812,
+      "epoch": 1.2303231151615575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004978770068806825,
+      "loss": 5.9599,
+      "mean_token_accuracy": 0.13136665150523186,
+      "num_tokens": 2714373.0,
+      "step": 1485
+    },
+    {
+      "entropy": 6.061770391464234,
+      "epoch": 1.2344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.000497832987727271,
+      "loss": 6.0715,
+      "mean_token_accuracy": 0.1264137916266918,
+      "num_tokens": 2723887.0,
+      "step": 1490
+    },
+    {
+      "entropy": 6.061756038665772,
+      "epoch": 1.2386081193040597,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004977885190953724,
+      "loss": 5.956,
+      "mean_token_accuracy": 0.13353569880127908,
+      "num_tokens": 2733591.0,
+      "step": 1495
+    },
+    {
+      "entropy": 6.104292392730713,
+      "epoch": 1.2427506213753108,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004977436010746846,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.13720986992120743,
+      "num_tokens": 2741638.0,
+      "step": 1500
+    },
+    {
+      "epoch": 1.2427506213753108,
+      "eval_entropy": 6.029743814773397,
+      "eval_loss": 6.2611613273620605,
+      "eval_mean_token_accuracy": 0.12890694399219332,
+      "eval_num_tokens": 2741638.0,
+      "eval_runtime": 2.9518,
+      "eval_samples_per_second": 1269.399,
+      "eval_steps_per_second": 158.887,
+      "step": 1500
+    },
+    {
+      "entropy": 6.078821802139283,
+      "epoch": 1.2468931234465617,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004976982337558124,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13084649220108985,
+      "num_tokens": 2749711.0,
+      "step": 1505
+    },
+    {
+      "entropy": 6.094208097457885,
+      "epoch": 1.2510356255178128,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004976524172302665,
+      "loss": 6.121,
+      "mean_token_accuracy": 0.13192041367292404,
+      "num_tokens": 2758121.0,
+      "step": 1510
+    },
+    {
+      "entropy": 6.159745693206787,
+      "epoch": 1.2551781275890637,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004976061515904641,
+      "loss": 6.1181,
+      "mean_token_accuracy": 0.12667254582047463,
+      "num_tokens": 2766764.0,
+      "step": 1515
+    },
+    {
+      "entropy": 6.116680526733399,
+      "epoch": 1.2593206296603148,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004975594369297277,
+      "loss": 6.0557,
+      "mean_token_accuracy": 0.1348518520593643,
+      "num_tokens": 2775561.0,
+      "step": 1520
+    },
+    {
+      "entropy": 6.08063235282898,
+      "epoch": 1.2634631317315659,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004975122733422861,
+      "loss": 6.0201,
+      "mean_token_accuracy": 0.13085112273693084,
+      "num_tokens": 2784691.0,
+      "step": 1525
+    },
+    {
+      "entropy": 6.129113435745239,
+      "epoch": 1.267605633802817,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004974646609232732,
+      "loss": 5.9816,
+      "mean_token_accuracy": 0.13641836866736412,
+      "num_tokens": 2793893.0,
+      "step": 1530
+    },
+    {
+      "entropy": 6.108260202407837,
+      "epoch": 1.2717481358740679,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004974165997687288,
+      "loss": 6.0751,
+      "mean_token_accuracy": 0.13353196606040002,
+      "num_tokens": 2804479.0,
+      "step": 1535
+    },
+    {
+      "entropy": 6.16022138595581,
+      "epoch": 1.275890637945319,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004973680899755972,
+      "loss": 6.107,
+      "mean_token_accuracy": 0.1326654002070427,
+      "num_tokens": 2813966.0,
+      "step": 1540
+    },
+    {
+      "entropy": 6.007886743545532,
+      "epoch": 1.2800331400165699,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000497319131641728,
+      "loss": 5.9326,
+      "mean_token_accuracy": 0.13846119418740271,
+      "num_tokens": 2822328.0,
+      "step": 1545
+    },
+    {
+      "entropy": 6.003260755538941,
+      "epoch": 1.284175642087821,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004972697248658755,
+      "loss": 5.8899,
+      "mean_token_accuracy": 0.14066707715392113,
+      "num_tokens": 2829845.0,
+      "step": 1550
+    },
+    {
+      "entropy": 5.948832178115845,
+      "epoch": 1.288318144159072,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004972198697476987,
+      "loss": 5.8783,
+      "mean_token_accuracy": 0.13914238885045052,
+      "num_tokens": 2839040.0,
+      "step": 1555
+    },
+    {
+      "entropy": 5.961882209777832,
+      "epoch": 1.2924606462303232,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004971695663877607,
+      "loss": 5.9665,
+      "mean_token_accuracy": 0.13561231270432472,
+      "num_tokens": 2848574.0,
+      "step": 1560
+    },
+    {
+      "entropy": 6.077086877822876,
+      "epoch": 1.296603148301574,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004971188148875289,
+      "loss": 5.9421,
+      "mean_token_accuracy": 0.14444561377167703,
+      "num_tokens": 2856812.0,
+      "step": 1565
+    },
+    {
+      "entropy": 6.051652336120606,
+      "epoch": 1.3007456503728252,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004970676153493748,
+      "loss": 6.0283,
+      "mean_token_accuracy": 0.13189572617411613,
+      "num_tokens": 2866001.0,
+      "step": 1570
+    },
+    {
+      "entropy": 6.1068840503692625,
+      "epoch": 1.3048881524440763,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004970159678765731,
+      "loss": 6.0164,
+      "mean_token_accuracy": 0.13239546120166779,
+      "num_tokens": 2875181.0,
+      "step": 1575
+    },
+    {
+      "entropy": 6.049808597564697,
+      "epoch": 1.3090306545153272,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004969638725733028,
+      "loss": 5.9587,
+      "mean_token_accuracy": 0.13397156223654746,
+      "num_tokens": 2885103.0,
+      "step": 1580
+    },
+    {
+      "entropy": 5.92131872177124,
+      "epoch": 1.3131731565865783,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004969113295446455,
+      "loss": 5.9116,
+      "mean_token_accuracy": 0.1383065924048424,
+      "num_tokens": 2894055.0,
+      "step": 1585
+    },
+    {
+      "entropy": 6.116864538192749,
+      "epoch": 1.3173156586578294,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004968583388965863,
+      "loss": 5.9846,
+      "mean_token_accuracy": 0.133075200766325,
+      "num_tokens": 2903391.0,
+      "step": 1590
+    },
+    {
+      "entropy": 6.006745624542236,
+      "epoch": 1.3214581607290803,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004968049007360132,
+      "loss": 5.9854,
+      "mean_token_accuracy": 0.13297903537750244,
+      "num_tokens": 2911760.0,
+      "step": 1595
+    },
+    {
+      "entropy": 5.926331329345703,
+      "epoch": 1.3256006628003314,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004967510151707169,
+      "loss": 5.9369,
+      "mean_token_accuracy": 0.13469143435359002,
+      "num_tokens": 2920589.0,
+      "step": 1600
+    },
+    {
+      "entropy": 6.15295524597168,
+      "epoch": 1.3297431648715825,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004966966823093903,
+      "loss": 6.0746,
+      "mean_token_accuracy": 0.1302391268312931,
+      "num_tokens": 2929635.0,
+      "step": 1605
+    },
+    {
+      "entropy": 5.986531114578247,
+      "epoch": 1.3338856669428334,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004966419022616287,
+      "loss": 5.9349,
+      "mean_token_accuracy": 0.13593596145510672,
+      "num_tokens": 2938778.0,
+      "step": 1610
+    },
+    {
+      "entropy": 6.039755535125733,
+      "epoch": 1.3380281690140845,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004965866751379296,
+      "loss": 6.0503,
+      "mean_token_accuracy": 0.13109695687890052,
+      "num_tokens": 2947836.0,
+      "step": 1615
+    },
+    {
+      "entropy": 6.133180904388428,
+      "epoch": 1.3421706710853356,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004965310010496922,
+      "loss": 6.0032,
+      "mean_token_accuracy": 0.1280514419078827,
+      "num_tokens": 2957028.0,
+      "step": 1620
+    },
+    {
+      "entropy": 6.026159048080444,
+      "epoch": 1.3463131731565865,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004964748801092168,
+      "loss": 5.9571,
+      "mean_token_accuracy": 0.1338861681520939,
+      "num_tokens": 2966088.0,
+      "step": 1625
+    },
+    {
+      "entropy": 6.078959226608276,
+      "epoch": 1.3504556752278376,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004964183124297059,
+      "loss": 6.0438,
+      "mean_token_accuracy": 0.13178688064217567,
+      "num_tokens": 2975271.0,
+      "step": 1630
+    },
+    {
+      "entropy": 5.992210865020752,
+      "epoch": 1.3545981772990887,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004963612981252625,
+      "loss": 6.0524,
+      "mean_token_accuracy": 0.1321226365864277,
+      "num_tokens": 2983799.0,
+      "step": 1635
+    },
+    {
+      "entropy": 6.056794929504394,
+      "epoch": 1.3587406793703396,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004963038373108908,
+      "loss": 6.0179,
+      "mean_token_accuracy": 0.13609340488910676,
+      "num_tokens": 2992675.0,
+      "step": 1640
+    },
+    {
+      "entropy": 6.155933427810669,
+      "epoch": 1.3628831814415907,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004962459301024954,
+      "loss": 6.0838,
+      "mean_token_accuracy": 0.13211635649204254,
+      "num_tokens": 3002483.0,
+      "step": 1645
+    },
+    {
+      "entropy": 6.027872896194458,
+      "epoch": 1.3670256835128418,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004961875766168816,
+      "loss": 5.985,
+      "mean_token_accuracy": 0.13883458971977233,
+      "num_tokens": 3010611.0,
+      "step": 1650
+    },
+    {
+      "entropy": 6.057289028167725,
+      "epoch": 1.371168185584093,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004961287769717547,
+      "loss": 5.9397,
+      "mean_token_accuracy": 0.13197456523776055,
+      "num_tokens": 3019928.0,
+      "step": 1655
+    },
+    {
+      "entropy": 5.9325989246368405,
+      "epoch": 1.3753106876553438,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004960695312857199,
+      "loss": 5.9279,
+      "mean_token_accuracy": 0.13408055454492568,
+      "num_tokens": 3029003.0,
+      "step": 1660
+    },
+    {
+      "entropy": 6.0389604568481445,
+      "epoch": 1.379453189726595,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004960098396782824,
+      "loss": 5.9464,
+      "mean_token_accuracy": 0.1375861033797264,
+      "num_tokens": 3038049.0,
+      "step": 1665
+    },
+    {
+      "entropy": 5.969662141799927,
+      "epoch": 1.3835956917978458,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004959497022698466,
+      "loss": 5.9515,
+      "mean_token_accuracy": 0.14408120438456534,
+      "num_tokens": 3046674.0,
+      "step": 1670
+    },
+    {
+      "entropy": 6.0561059474945065,
+      "epoch": 1.387738193869097,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004958891191817163,
+      "loss": 5.9927,
+      "mean_token_accuracy": 0.12801324650645257,
+      "num_tokens": 3056459.0,
+      "step": 1675
+    },
+    {
+      "entropy": 6.032327270507812,
+      "epoch": 1.391880695940348,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000495828090536094,
+      "loss": 5.9845,
+      "mean_token_accuracy": 0.13036760538816453,
+      "num_tokens": 3066294.0,
+      "step": 1680
+    },
+    {
+      "entropy": 6.0512574195861815,
+      "epoch": 1.3960231980115991,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004957666164560815,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13139644563198088,
+      "num_tokens": 3075420.0,
+      "step": 1685
+    },
+    {
+      "entropy": 6.063203239440918,
+      "epoch": 1.40016570008285,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004957046970656784,
+      "loss": 6.0385,
+      "mean_token_accuracy": 0.13581736162304878,
+      "num_tokens": 3084373.0,
+      "step": 1690
+    },
+    {
+      "entropy": 6.00097541809082,
+      "epoch": 1.4043082021541011,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004956423324897831,
+      "loss": 6.0257,
+      "mean_token_accuracy": 0.13937310948967935,
+      "num_tokens": 3094212.0,
+      "step": 1695
+    },
+    {
+      "entropy": 6.043115425109863,
+      "epoch": 1.408450704225352,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004955795228541917,
+      "loss": 5.9589,
+      "mean_token_accuracy": 0.14452596232295037,
+      "num_tokens": 3102769.0,
+      "step": 1700
+    },
+    {
+      "entropy": 6.040110731124878,
+      "epoch": 1.4125932062966031,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000495516268285598,
+      "loss": 5.9805,
+      "mean_token_accuracy": 0.13440805301070213,
+      "num_tokens": 3111465.0,
+      "step": 1705
+    },
+    {
+      "entropy": 5.978239822387695,
+      "epoch": 1.4167357083678542,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004954525689115935,
+      "loss": 5.9177,
+      "mean_token_accuracy": 0.13326097056269645,
+      "num_tokens": 3121106.0,
+      "step": 1710
+    },
+    {
+      "entropy": 6.007881164550781,
+      "epoch": 1.4208782104391053,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004953884248606669,
+      "loss": 5.945,
+      "mean_token_accuracy": 0.14831372052431108,
+      "num_tokens": 3130662.0,
+      "step": 1715
+    },
+    {
+      "entropy": 5.97642674446106,
+      "epoch": 1.4250207125103562,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004953238362622034,
+      "loss": 5.9812,
+      "mean_token_accuracy": 0.13328263983130456,
+      "num_tokens": 3139538.0,
+      "step": 1720
+    },
+    {
+      "entropy": 6.0256367206573485,
+      "epoch": 1.4291632145816073,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004952588032464855,
+      "loss": 6.0298,
+      "mean_token_accuracy": 0.12707214802503586,
+      "num_tokens": 3148552.0,
+      "step": 1725
+    },
+    {
+      "entropy": 5.996851205825806,
+      "epoch": 1.4333057166528582,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004951933259446919,
+      "loss": 5.9365,
+      "mean_token_accuracy": 0.14197203740477563,
+      "num_tokens": 3156549.0,
+      "step": 1730
+    },
+    {
+      "entropy": 6.114988136291504,
+      "epoch": 1.4374482187241093,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004951274044888975,
+      "loss": 6.1006,
+      "mean_token_accuracy": 0.12147112190723419,
+      "num_tokens": 3166821.0,
+      "step": 1735
+    },
+    {
+      "entropy": 5.960144329071045,
+      "epoch": 1.4415907207953604,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004950610390120731,
+      "loss": 5.9848,
+      "mean_token_accuracy": 0.135729306191206,
+      "num_tokens": 3174962.0,
+      "step": 1740
+    },
+    {
+      "entropy": 6.087535095214844,
+      "epoch": 1.4457332228666115,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000494994229648085,
+      "loss": 5.8903,
+      "mean_token_accuracy": 0.13537728488445283,
+      "num_tokens": 3184027.0,
+      "step": 1745
+    },
+    {
+      "entropy": 5.957475805282593,
+      "epoch": 1.4498757249378624,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004949269765316948,
+      "loss": 6.0321,
+      "mean_token_accuracy": 0.13071285635232927,
+      "num_tokens": 3193186.0,
+      "step": 1750
+    },
+    {
+      "entropy": 6.171153354644775,
+      "epoch": 1.4540182270091135,
+      "grad_norm": 2.140625,
+      "learning_rate": 0.0004948592797985599,
+      "loss": 6.0525,
+      "mean_token_accuracy": 0.13555259853601456,
+      "num_tokens": 3202676.0,
+      "step": 1755
+    },
+    {
+      "entropy": 6.123908805847168,
+      "epoch": 1.4581607290803644,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947911395852317,
+      "loss": 6.1524,
+      "mean_token_accuracy": 0.1352410912513733,
+      "num_tokens": 3211950.0,
+      "step": 1760
+    },
+    {
+      "entropy": 6.120599699020386,
+      "epoch": 1.4623032311516155,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947225560291565,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12961760386824608,
+      "num_tokens": 3221135.0,
+      "step": 1765
+    },
+    {
+      "entropy": 5.962483358383179,
+      "epoch": 1.4664457332228666,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004946535292686746,
+      "loss": 5.8975,
+      "mean_token_accuracy": 0.13825839310884475,
+      "num_tokens": 3230174.0,
+      "step": 1770
+    },
+    {
+      "entropy": 5.979943370819091,
+      "epoch": 1.4705882352941178,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004945840594430209,
+      "loss": 5.8871,
+      "mean_token_accuracy": 0.1381668671965599,
+      "num_tokens": 3238898.0,
+      "step": 1775
+    },
+    {
+      "entropy": 5.973515844345092,
+      "epoch": 1.4747307373653686,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004945141466923235,
+      "loss": 5.9292,
+      "mean_token_accuracy": 0.14479121565818787,
+      "num_tokens": 3247550.0,
+      "step": 1780
+    },
+    {
+      "entropy": 6.113377714157105,
+      "epoch": 1.4788732394366197,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004944437911576041,
+      "loss": 6.0779,
+      "mean_token_accuracy": 0.12900342419743538,
+      "num_tokens": 3256810.0,
+      "step": 1785
+    },
+    {
+      "entropy": 5.9020613670349125,
+      "epoch": 1.4830157415078706,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004943729929807772,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.139550269395113,
+      "num_tokens": 3265886.0,
+      "step": 1790
+    },
+    {
+      "entropy": 6.06021089553833,
+      "epoch": 1.4871582435791217,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004943017523046507,
+      "loss": 5.9273,
+      "mean_token_accuracy": 0.137468421459198,
+      "num_tokens": 3274522.0,
+      "step": 1795
+    },
+    {
+      "entropy": 6.027210426330567,
+      "epoch": 1.4913007456503728,
+      "grad_norm": 1.25,
+      "learning_rate": 0.000494230069272925,
+      "loss": 6.0486,
+      "mean_token_accuracy": 0.13558472618460654,
+      "num_tokens": 3283388.0,
+      "step": 1800
+    },
+    {
+      "entropy": 5.989331531524658,
+      "epoch": 1.495443247721624,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004941579440301923,
+      "loss": 5.9224,
+      "mean_token_accuracy": 0.1305856943130493,
+      "num_tokens": 3291887.0,
+      "step": 1805
+    },
+    {
+      "entropy": 5.96136965751648,
+      "epoch": 1.4995857497928748,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940853767219372,
+      "loss": 5.9685,
+      "mean_token_accuracy": 0.13564062863588333,
+      "num_tokens": 3300674.0,
+      "step": 1810
+    },
+    {
+      "entropy": 5.9364429950714115,
+      "epoch": 1.503728251864126,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940123674945359,
+      "loss": 5.8311,
+      "mean_token_accuracy": 0.13808463513851166,
+      "num_tokens": 3309745.0,
+      "step": 1815
+    },
+    {
+      "entropy": 6.076629638671875,
+      "epoch": 1.5078707539353768,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004939389164952561,
+      "loss": 5.9722,
+      "mean_token_accuracy": 0.1378110609948635,
+      "num_tokens": 3318888.0,
+      "step": 1820
+    },
+    {
+      "entropy": 5.8970863819122314,
+      "epoch": 1.512013256006628,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004938650238722564,
+      "loss": 5.9296,
+      "mean_token_accuracy": 0.13823849260807036,
+      "num_tokens": 3328274.0,
+      "step": 1825
+    },
+    {
+      "entropy": 6.003948831558228,
+      "epoch": 1.516155758077879,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004937906897745861,
+      "loss": 5.9387,
+      "mean_token_accuracy": 0.1468382939696312,
+      "num_tokens": 3337579.0,
+      "step": 1830
+    },
+    {
+      "entropy": 6.045965003967285,
+      "epoch": 1.5202982601491302,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004937159143521856,
+      "loss": 5.9081,
+      "mean_token_accuracy": 0.14555162489414214,
+      "num_tokens": 3346262.0,
+      "step": 1835
+    },
+    {
+      "entropy": 5.972390079498291,
+      "epoch": 1.5244407622203813,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004936406977558847,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.13030771315097808,
+      "num_tokens": 3354833.0,
+      "step": 1840
+    },
+    {
+      "entropy": 6.051387977600098,
+      "epoch": 1.5285832642916322,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004935650401374039,
+      "loss": 6.0906,
+      "mean_token_accuracy": 0.14119647368788718,
+      "num_tokens": 3364314.0,
+      "step": 1845
+    },
+    {
+      "entropy": 6.046140813827515,
+      "epoch": 1.532725766362883,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004934889416493524,
+      "loss": 5.9157,
+      "mean_token_accuracy": 0.13524662256240844,
+      "num_tokens": 3373648.0,
+      "step": 1850
+    },
+    {
+      "entropy": 5.863892507553101,
+      "epoch": 1.5368682684341342,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004934124024452295,
+      "loss": 5.7869,
+      "mean_token_accuracy": 0.1471114367246628,
+      "num_tokens": 3382919.0,
+      "step": 1855
+    },
+    {
+      "entropy": 5.888700532913208,
+      "epoch": 1.5410107705053853,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004933354226794232,
+      "loss": 5.9383,
+      "mean_token_accuracy": 0.1432707317173481,
+      "num_tokens": 3391814.0,
+      "step": 1860
+    },
+    {
+      "entropy": 6.080925798416137,
+      "epoch": 1.5451532725766364,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004932580025072098,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.13580586463212968,
+      "num_tokens": 3400392.0,
+      "step": 1865
+    },
+    {
+      "entropy": 5.996384525299073,
+      "epoch": 1.5492957746478875,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004931801420847545,
+      "loss": 6.036,
+      "mean_token_accuracy": 0.13089759424328803,
+      "num_tokens": 3410430.0,
+      "step": 1870
+    },
+    {
+      "entropy": 5.932257795333863,
+      "epoch": 1.5534382767191384,
+      "grad_norm": 0.9609375,
+      "learning_rate": 0.0004931018415691102,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.13694921880960464,
+      "num_tokens": 3420654.0,
+      "step": 1875
+    },
+    {
+      "entropy": 5.951343011856079,
+      "epoch": 1.5575807787903893,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004930231011182176,
+      "loss": 5.9986,
+      "mean_token_accuracy": 0.13937177062034606,
+      "num_tokens": 3430514.0,
+      "step": 1880
+    },
+    {
+      "entropy": 6.071512508392334,
+      "epoch": 1.5617232808616404,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004929439208909048,
+      "loss": 5.9331,
+      "mean_token_accuracy": 0.1375361390411854,
+      "num_tokens": 3439551.0,
+      "step": 1885
+    },
+    {
+      "entropy": 5.902947330474854,
+      "epoch": 1.5658657829328915,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004928643010468869,
+      "loss": 5.8911,
+      "mean_token_accuracy": 0.13622887432575226,
+      "num_tokens": 3448160.0,
+      "step": 1890
+    },
+    {
+      "entropy": 5.993059539794922,
+      "epoch": 1.5700082850041426,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004927842417467659,
+      "loss": 5.9517,
+      "mean_token_accuracy": 0.14548188596963882,
+      "num_tokens": 3457296.0,
+      "step": 1895
+    },
+    {
+      "entropy": 6.027637386322022,
+      "epoch": 1.5741507870753937,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004927037431520302,
+      "loss": 5.9073,
+      "mean_token_accuracy": 0.14102519080042838,
+      "num_tokens": 3466108.0,
+      "step": 1900
+    },
+    {
+      "entropy": 5.975209665298462,
+      "epoch": 1.5782932891466446,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004926228054250541,
+      "loss": 5.9941,
+      "mean_token_accuracy": 0.14009249955415726,
+      "num_tokens": 3475336.0,
+      "step": 1905
+    },
+    {
+      "entropy": 6.073916673660278,
+      "epoch": 1.5824357912178955,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004925414287290979,
+      "loss": 5.9668,
+      "mean_token_accuracy": 0.13723743334412575,
+      "num_tokens": 3483963.0,
+      "step": 1910
+    },
+    {
+      "entropy": 5.848618030548096,
+      "epoch": 1.5865782932891466,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004924596132283075,
+      "loss": 5.8765,
+      "mean_token_accuracy": 0.14485997408628465,
+      "num_tokens": 3492947.0,
+      "step": 1915
+    },
+    {
+      "entropy": 5.966853284835816,
+      "epoch": 1.5907207953603977,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004923773590877135,
+      "loss": 5.9651,
+      "mean_token_accuracy": 0.13334692791104316,
+      "num_tokens": 3501877.0,
+      "step": 1920
+    },
+    {
+      "entropy": 6.042904996871949,
+      "epoch": 1.5948632974316488,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004922946664732314,
+      "loss": 6.0304,
+      "mean_token_accuracy": 0.13204361274838447,
+      "num_tokens": 3510610.0,
+      "step": 1925
+    },
+    {
+      "entropy": 6.0583656311035154,
+      "epoch": 1.5990057995029,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004922115355516615,
+      "loss": 5.9841,
+      "mean_token_accuracy": 0.13304307833313941,
+      "num_tokens": 3519829.0,
+      "step": 1930
+    },
+    {
+      "entropy": 6.015839862823486,
+      "epoch": 1.6031483015741508,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004921279664906877,
+      "loss": 5.9661,
+      "mean_token_accuracy": 0.13071200698614122,
+      "num_tokens": 3529408.0,
+      "step": 1935
+    },
+    {
+      "entropy": 5.924501991271972,
+      "epoch": 1.6072908036454017,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004920439594588781,
+      "loss": 5.8955,
+      "mean_token_accuracy": 0.14675913602113724,
+      "num_tokens": 3538068.0,
+      "step": 1940
+    },
+    {
+      "entropy": 6.051935148239136,
+      "epoch": 1.6114333057166528,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000491959514625684,
+      "loss": 6.0177,
+      "mean_token_accuracy": 0.13845598921179772,
+      "num_tokens": 3547302.0,
+      "step": 1945
+    },
+    {
+      "entropy": 5.956210565567017,
+      "epoch": 1.6155758077879039,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00049187463216144,
+      "loss": 5.9024,
+      "mean_token_accuracy": 0.145584287494421,
+      "num_tokens": 3556087.0,
+      "step": 1950
+    },
+    {
+      "entropy": 6.046857452392578,
+      "epoch": 1.619718309859155,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.000491789312237363,
+      "loss": 5.9857,
+      "mean_token_accuracy": 0.13579782098531723,
+      "num_tokens": 3566235.0,
+      "step": 1955
+    },
+    {
+      "entropy": 5.983897924423218,
+      "epoch": 1.623860811930406,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004917035550255528,
+      "loss": 5.899,
+      "mean_token_accuracy": 0.14092317298054696,
+      "num_tokens": 3574762.0,
+      "step": 1960
+    },
+    {
+      "entropy": 5.904513597488403,
+      "epoch": 1.628003314001657,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000491617360698991,
+      "loss": 5.8837,
+      "mean_token_accuracy": 0.139695380628109,
+      "num_tokens": 3583359.0,
+      "step": 1965
+    },
+    {
+      "entropy": 5.920687866210938,
+      "epoch": 1.6321458160729079,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004915307294315412,
+      "loss": 5.8505,
+      "mean_token_accuracy": 0.14011457338929176,
+      "num_tokens": 3591436.0,
+      "step": 1970
+    },
+    {
+      "entropy": 5.926318550109864,
+      "epoch": 1.636288318144159,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.000491443661397948,
+      "loss": 5.9355,
+      "mean_token_accuracy": 0.13468224480748175,
+      "num_tokens": 3601054.0,
+      "step": 1975
+    },
+    {
+      "entropy": 5.974443817138672,
+      "epoch": 1.64043082021541,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004913561567738368,
+      "loss": 5.9014,
+      "mean_token_accuracy": 0.1383673779666424,
+      "num_tokens": 3610641.0,
+      "step": 1980
+    },
+    {
+      "entropy": 5.912512636184692,
+      "epoch": 1.6445733222866612,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004912682157357146,
+      "loss": 5.8447,
+      "mean_token_accuracy": 0.13975749984383584,
+      "num_tokens": 3619351.0,
+      "step": 1985
+    },
+    {
+      "entropy": 5.853101539611816,
+      "epoch": 1.6487158243579123,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004911798384609675,
+      "loss": 5.8306,
+      "mean_token_accuracy": 0.1472959376871586,
+      "num_tokens": 3627341.0,
+      "step": 1990
+    },
+    {
+      "entropy": 5.942045879364014,
+      "epoch": 1.6528583264291632,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004910910251278626,
+      "loss": 5.8918,
+      "mean_token_accuracy": 0.14801610112190247,
+      "num_tokens": 3637132.0,
+      "step": 1995
+    },
+    {
+      "entropy": 5.919465351104736,
+      "epoch": 1.6570008285004143,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004910017759155458,
+      "loss": 5.9479,
+      "mean_token_accuracy": 0.1400071859359741,
+      "num_tokens": 3646196.0,
+      "step": 2000
+    },
+    {
+      "epoch": 1.6570008285004143,
+      "eval_entropy": 5.874394122979789,
+      "eval_loss": 6.1148576736450195,
+      "eval_mean_token_accuracy": 0.1363023624046525,
+      "eval_num_tokens": 3646196.0,
+      "eval_runtime": 2.7574,
+      "eval_samples_per_second": 1358.871,
+      "eval_steps_per_second": 170.085,
+      "step": 2000
+    },
+    {
+      "entropy": 5.967284250259399,
+      "epoch": 1.6611433305716652,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004909120910040427,
+      "loss": 5.8839,
+      "mean_token_accuracy": 0.1461731344461441,
+      "num_tokens": 3654658.0,
+      "step": 2005
+    },
+    {
+      "entropy": 6.045904684066772,
+      "epoch": 1.6652858326429163,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004908219705742574,
+      "loss": 6.1605,
+      "mean_token_accuracy": 0.13489469960331918,
+      "num_tokens": 3664509.0,
+      "step": 2010
+    },
+    {
+      "entropy": 6.002130031585693,
+      "epoch": 1.6694283347141674,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004907314148079727,
+      "loss": 5.8567,
+      "mean_token_accuracy": 0.1425239197909832,
+      "num_tokens": 3672983.0,
+      "step": 2015
+    },
+    {
+      "entropy": 5.708412790298462,
+      "epoch": 1.6735708367854185,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004906404238878496,
+      "loss": 5.7221,
+      "mean_token_accuracy": 0.14639501571655272,
+      "num_tokens": 3681196.0,
+      "step": 2020
+    },
+    {
+      "entropy": 5.97982873916626,
+      "epoch": 1.6777133388566694,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004905489979974265,
+      "loss": 5.9098,
+      "mean_token_accuracy": 0.14081615954637527,
+      "num_tokens": 3690077.0,
+      "step": 2025
+    },
+    {
+      "entropy": 5.942774772644043,
+      "epoch": 1.6818558409279205,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004904571373211197,
+      "loss": 5.9906,
+      "mean_token_accuracy": 0.13563016131520272,
+      "num_tokens": 3700121.0,
+      "step": 2030
+    },
+    {
+      "entropy": 5.897730588912964,
+      "epoch": 1.6859983429991714,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000490364842044222,
+      "loss": 5.8074,
+      "mean_token_accuracy": 0.14530285224318504,
+      "num_tokens": 3709618.0,
+      "step": 2035
+    },
+    {
+      "entropy": 5.954602289199829,
+      "epoch": 1.6901408450704225,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004902721123529031,
+      "loss": 5.9869,
+      "mean_token_accuracy": 0.12953415215015412,
+      "num_tokens": 3719570.0,
+      "step": 2040
+    },
+    {
+      "entropy": 6.074023342132568,
+      "epoch": 1.6942833471416736,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000490178948434209,
+      "loss": 5.9267,
+      "mean_token_accuracy": 0.14249598532915114,
+      "num_tokens": 3729354.0,
+      "step": 2045
+    },
+    {
+      "entropy": 5.833365964889526,
+      "epoch": 1.6984258492129247,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004900853504760614,
+      "loss": 5.8409,
+      "mean_token_accuracy": 0.14450331926345825,
+      "num_tokens": 3738453.0,
+      "step": 2050
+    },
+    {
+      "entropy": 5.888468265533447,
+      "epoch": 1.7025683512841756,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004899913186672577,
+      "loss": 5.8165,
+      "mean_token_accuracy": 0.14293194860219954,
+      "num_tokens": 3747815.0,
+      "step": 2055
+    },
+    {
+      "entropy": 5.914711236953735,
+      "epoch": 1.7067108533554267,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004898968531974702,
+      "loss": 5.9249,
+      "mean_token_accuracy": 0.14642315953969956,
+      "num_tokens": 3757298.0,
+      "step": 2060
+    },
+    {
+      "entropy": 5.978992033004761,
+      "epoch": 1.7108533554266776,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004898019542572462,
+      "loss": 5.9124,
+      "mean_token_accuracy": 0.14719650894403458,
+      "num_tokens": 3765939.0,
+      "step": 2065
+    },
+    {
+      "entropy": 6.005469894409179,
+      "epoch": 1.7149958574979287,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004897066220380073,
+      "loss": 5.933,
+      "mean_token_accuracy": 0.13779435828328132,
+      "num_tokens": 3775160.0,
+      "step": 2070
+    },
+    {
+      "entropy": 5.921374797821045,
+      "epoch": 1.7191383595691798,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004896108567320489,
+      "loss": 5.831,
+      "mean_token_accuracy": 0.14186858981847764,
+      "num_tokens": 3785181.0,
+      "step": 2075
+    },
+    {
+      "entropy": 5.972924375534058,
+      "epoch": 1.723280861640431,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048951465853254,
+      "loss": 5.9444,
+      "mean_token_accuracy": 0.14323145076632499,
+      "num_tokens": 3794531.0,
+      "step": 2080
+    },
+    {
+      "entropy": 5.953138160705566,
+      "epoch": 1.7274233637116818,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004894180276335231,
+      "loss": 5.934,
+      "mean_token_accuracy": 0.1396125227212906,
+      "num_tokens": 3804602.0,
+      "step": 2085
+    },
+    {
+      "entropy": 5.9721667766571045,
+      "epoch": 1.731565865782933,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004893209642299132,
+      "loss": 5.97,
+      "mean_token_accuracy": 0.1395590640604496,
+      "num_tokens": 3813394.0,
+      "step": 2090
+    },
+    {
+      "entropy": 5.97849326133728,
+      "epoch": 1.7357083678541838,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004892234685174976,
+      "loss": 5.962,
+      "mean_token_accuracy": 0.13808128908276557,
+      "num_tokens": 3821604.0,
+      "step": 2095
+    },
+    {
+      "entropy": 5.967495775222778,
+      "epoch": 1.739850869925435,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004891255406929359,
+      "loss": 5.9564,
+      "mean_token_accuracy": 0.13652343899011612,
+      "num_tokens": 3831977.0,
+      "step": 2100
+    },
+    {
+      "entropy": 5.98737063407898,
+      "epoch": 1.743993371996686,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004890271809537595,
+      "loss": 5.9017,
+      "mean_token_accuracy": 0.1393343411386013,
+      "num_tokens": 3840684.0,
+      "step": 2105
+    },
+    {
+      "entropy": 5.870862340927124,
+      "epoch": 1.7481358740679371,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004889283894983704,
+      "loss": 5.8147,
+      "mean_token_accuracy": 0.1389534741640091,
+      "num_tokens": 3851147.0,
+      "step": 2110
+    },
+    {
+      "entropy": 6.002704238891601,
+      "epoch": 1.752278376139188,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000488829166526042,
+      "loss": 5.9838,
+      "mean_token_accuracy": 0.13991605415940284,
+      "num_tokens": 3859881.0,
+      "step": 2115
+    },
+    {
+      "entropy": 5.948231506347656,
+      "epoch": 1.7564208782104391,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004887295122369176,
+      "loss": 6.0107,
+      "mean_token_accuracy": 0.13371825441718102,
+      "num_tokens": 3870151.0,
+      "step": 2120
+    },
+    {
+      "entropy": 5.99525203704834,
+      "epoch": 1.76056338028169,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.000488629426832011,
+      "loss": 5.9313,
+      "mean_token_accuracy": 0.13850879445672035,
+      "num_tokens": 3878398.0,
+      "step": 2125
+    },
+    {
+      "entropy": 5.924004030227661,
+      "epoch": 1.7647058823529411,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004885289105132054,
+      "loss": 5.8893,
+      "mean_token_accuracy": 0.14114601090550422,
+      "num_tokens": 3888007.0,
+      "step": 2130
+    },
+    {
+      "entropy": 5.930246257781983,
+      "epoch": 1.7688483844241922,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004884279634832532,
+      "loss": 5.8728,
+      "mean_token_accuracy": 0.14278061985969542,
+      "num_tokens": 3896945.0,
+      "step": 2135
+    },
+    {
+      "entropy": 5.940092372894287,
+      "epoch": 1.7729908864954433,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004883265859457754,
+      "loss": 5.8905,
+      "mean_token_accuracy": 0.1457919418811798,
+      "num_tokens": 3906049.0,
+      "step": 2140
+    },
+    {
+      "entropy": 5.866062164306641,
+      "epoch": 1.7771333885666944,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048822477810526186,
+      "loss": 5.8422,
+      "mean_token_accuracy": 0.1388966679573059,
+      "num_tokens": 3915050.0,
+      "step": 2145
+    },
+    {
+      "entropy": 5.966696119308471,
+      "epoch": 1.7812758906379453,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00048812254016706994,
+      "loss": 5.9205,
+      "mean_token_accuracy": 0.14728582575917243,
+      "num_tokens": 3924031.0,
+      "step": 2150
+    },
+    {
+      "entropy": 5.915832757949829,
+      "epoch": 1.7854183927091962,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004880198723374247,
+      "loss": 5.9776,
+      "mean_token_accuracy": 0.14149753525853156,
+      "num_tokens": 3933756.0,
+      "step": 2155
+    },
+    {
+      "entropy": 5.959774684906006,
+      "epoch": 1.7895608947804473,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048791677482341845,
+      "loss": 5.9592,
+      "mean_token_accuracy": 0.13750381171703338,
+      "num_tokens": 3943129.0,
+      "step": 2160
+    },
+    {
+      "entropy": 5.881538438796997,
+      "epoch": 1.7937033968516984,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048781324783301016,
+      "loss": 5.7912,
+      "mean_token_accuracy": 0.14508036673069,
+      "num_tokens": 3951494.0,
+      "step": 2165
+    },
+    {
+      "entropy": 5.946735525131226,
+      "epoch": 1.7978458989229495,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048770929157502505,
+      "loss": 5.9565,
+      "mean_token_accuracy": 0.143115097284317,
+      "num_tokens": 3960588.0,
+      "step": 2170
+    },
+    {
+      "entropy": 5.9805809497833256,
+      "epoch": 1.8019884009942007,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004876049062591543,
+      "loss": 5.9226,
+      "mean_token_accuracy": 0.13506680428981782,
+      "num_tokens": 3970135.0,
+      "step": 2175
+    },
+    {
+      "entropy": 5.950060653686523,
+      "epoch": 1.8061309030654515,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048750009209595443,
+      "loss": 5.9042,
+      "mean_token_accuracy": 0.13944360390305519,
+      "num_tokens": 3979569.0,
+      "step": 2180
+    },
+    {
+      "entropy": 5.88271656036377,
+      "epoch": 1.8102734051367024,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048739484929684714,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.144245932251215,
+      "num_tokens": 3987885.0,
+      "step": 2185
+    },
+    {
+      "entropy": 5.933677864074707,
+      "epoch": 1.8144159072079535,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048728917807411856,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.13125594183802605,
+      "num_tokens": 3997726.0,
+      "step": 2190
+    },
+    {
+      "entropy": 6.008653068542481,
+      "epoch": 1.8185584092792046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004871830786409191,
+      "loss": 5.8436,
+      "mean_token_accuracy": 0.14898036047816277,
+      "num_tokens": 4006437.0,
+      "step": 2195
+    },
+    {
+      "entropy": 5.856683444976807,
+      "epoch": 1.8227009113504558,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00048707655121126296,
+      "loss": 5.8124,
+      "mean_token_accuracy": 0.14927435666322708,
+      "num_tokens": 4015326.0,
+      "step": 2200
+    },
+    {
+      "entropy": 5.924995994567871,
+      "epoch": 1.8268434134217069,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048696959600002767,
+      "loss": 5.8722,
+      "mean_token_accuracy": 0.14032577201724053,
+      "num_tokens": 4024294.0,
+      "step": 2205
+    },
+    {
+      "entropy": 5.881852293014527,
+      "epoch": 1.8309859154929577,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048686221322295347,
+      "loss": 5.9028,
+      "mean_token_accuracy": 0.14340249821543694,
+      "num_tokens": 4033341.0,
+      "step": 2210
+    },
+    {
+      "entropy": 5.951443433761597,
+      "epoch": 1.8351284175642086,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048675440309664314,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.1474481076002121,
+      "num_tokens": 4042446.0,
+      "step": 2215
+    },
+    {
+      "entropy": 5.832607173919678,
+      "epoch": 1.8392709196354597,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00048664616583856166,
+      "loss": 5.8924,
+      "mean_token_accuracy": 0.13868724405765534,
+      "num_tokens": 4051849.0,
+      "step": 2220
+    },
+    {
+      "entropy": 6.026660823822022,
+      "epoch": 1.8434134217067109,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00048653750166703516,
+      "loss": 5.9855,
+      "mean_token_accuracy": 0.1381051518023014,
+      "num_tokens": 4061075.0,
+      "step": 2225
+    },
+    {
+      "entropy": 5.976817560195923,
+      "epoch": 1.847555923777962,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004864284108012513,
+      "loss": 5.9524,
+      "mean_token_accuracy": 0.13498588278889656,
+      "num_tokens": 4071022.0,
+      "step": 2230
+    },
+    {
+      "entropy": 5.884273719787598,
+      "epoch": 1.851698425849213,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004863188934612583,
+      "loss": 5.854,
+      "mean_token_accuracy": 0.1435965158045292,
+      "num_tokens": 4080728.0,
+      "step": 2235
+    },
+    {
+      "entropy": 5.8848789691925045,
+      "epoch": 1.855840927920464,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004862089498679645,
+      "loss": 5.8121,
+      "mean_token_accuracy": 0.15146355628967284,
+      "num_tokens": 4088712.0,
+      "step": 2240
+    },
+    {
+      "entropy": 5.904728364944458,
+      "epoch": 1.8599834299917148,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004860985802431383,
+      "loss": 5.8445,
+      "mean_token_accuracy": 0.14107747822999955,
+      "num_tokens": 4097488.0,
+      "step": 2245
+    },
+    {
+      "entropy": 5.815548610687256,
+      "epoch": 1.864125932062966,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004859877848094071,
+      "loss": 5.8328,
+      "mean_token_accuracy": 0.14647450745105745,
+      "num_tokens": 4106485.0,
+      "step": 2250
+    },
+    {
+      "entropy": 5.969652986526489,
+      "epoch": 1.868268434134217,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004858765637902575,
+      "loss": 5.8016,
+      "mean_token_accuracy": 0.14588006138801574,
+      "num_tokens": 4115806.0,
+      "step": 2255
+    },
+    {
+      "entropy": 5.982199335098267,
+      "epoch": 1.8724109362054682,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004857649174100344,
+      "loss": 5.9353,
+      "mean_token_accuracy": 0.14478921219706536,
+      "num_tokens": 4124636.0,
+      "step": 2260
+    },
+    {
+      "entropy": 5.869907474517822,
+      "epoch": 1.8765534382767193,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.0004856528458939409,
+      "loss": 5.8948,
+      "mean_token_accuracy": 0.13403457626700402,
+      "num_tokens": 4133876.0,
+      "step": 2265
+    },
+    {
+      "entropy": 5.836872100830078,
+      "epoch": 1.8806959403479702,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004855403494680373,
+      "loss": 5.8159,
+      "mean_token_accuracy": 0.14096100330352784,
+      "num_tokens": 4143555.0,
+      "step": 2270
+    },
+    {
+      "entropy": 5.871636962890625,
+      "epoch": 1.884838442419221,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00048542742835924133,
+      "loss": 5.7773,
+      "mean_token_accuracy": 0.14253296032547952,
+      "num_tokens": 4153007.0,
+      "step": 2275
+    },
+    {
+      "entropy": 5.766701364517212,
+      "epoch": 1.8889809444904722,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048531408279532705,
+      "loss": 5.8171,
+      "mean_token_accuracy": 0.14552054405212403,
+      "num_tokens": 4162107.0,
+      "step": 2280
+    },
+    {
+      "entropy": 5.884533357620239,
+      "epoch": 1.8931234465617233,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048520031300492507,
+      "loss": 5.8208,
+      "mean_token_accuracy": 0.14203491136431695,
+      "num_tokens": 4170920.0,
+      "step": 2285
+    },
+    {
+      "entropy": 5.9367118835449215,
+      "epoch": 1.8972659486329744,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048508611921752124,
+      "loss": 5.8366,
+      "mean_token_accuracy": 0.14547978863120078,
+      "num_tokens": 4180226.0,
+      "step": 2290
+    },
+    {
+      "entropy": 5.804201984405518,
+      "epoch": 1.9014084507042255,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00048497150166345703,
+      "loss": 5.7799,
+      "mean_token_accuracy": 0.14307984560728074,
+      "num_tokens": 4189283.0,
+      "step": 2295
+    },
+    {
+      "entropy": 5.833661937713623,
+      "epoch": 1.9055509527754764,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004848564605739287,
+      "loss": 5.8181,
+      "mean_token_accuracy": 0.14286661818623542,
+      "num_tokens": 4199017.0,
+      "step": 2300
+    },
+    {
+      "entropy": 5.985245418548584,
+      "epoch": 1.9096934548467275,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048474099618098644,
+      "loss": 5.9557,
+      "mean_token_accuracy": 0.13776218444108962,
+      "num_tokens": 4207756.0,
+      "step": 2305
+    },
+    {
+      "entropy": 5.926583385467529,
+      "epoch": 1.9138359569179784,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004846251087175348,
+      "loss": 5.8467,
+      "mean_token_accuracy": 0.14270823299884797,
+      "num_tokens": 4216721.0,
+      "step": 2310
+    },
+    {
+      "entropy": 5.816466999053955,
+      "epoch": 1.9179784589892295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004845087984173312,
+      "loss": 5.8214,
+      "mean_token_accuracy": 0.14952016696333886,
+      "num_tokens": 4225596.0,
+      "step": 2315
+    },
+    {
+      "entropy": 5.975145244598389,
+      "epoch": 1.9221209610604806,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048439206551498644,
+      "loss": 5.8881,
+      "mean_token_accuracy": 0.14604572355747222,
+      "num_tokens": 4234500.0,
+      "step": 2320
+    },
+    {
+      "entropy": 5.83410792350769,
+      "epoch": 1.9262634631317317,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004842749102459635,
+      "loss": 5.8331,
+      "mean_token_accuracy": 0.14477182626724244,
+      "num_tokens": 4243240.0,
+      "step": 2325
+    },
+    {
+      "entropy": 5.799895906448365,
+      "epoch": 1.9304059652029826,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048415733284657727,
+      "loss": 5.8249,
+      "mean_token_accuracy": 0.14724751114845275,
+      "num_tokens": 4251892.0,
+      "step": 2330
+    },
+    {
+      "entropy": 5.914888668060303,
+      "epoch": 1.9345484672742337,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004840393335539943,
+      "loss": 5.784,
+      "mean_token_accuracy": 0.14537777602672577,
+      "num_tokens": 4261447.0,
+      "step": 2335
+    },
+    {
+      "entropy": 5.93565788269043,
+      "epoch": 1.9386909693454846,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048392091260623195,
+      "loss": 5.9202,
+      "mean_token_accuracy": 0.1471864774823189,
+      "num_tokens": 4270120.0,
+      "step": 2340
+    },
+    {
+      "entropy": 5.905978488922119,
+      "epoch": 1.9428334714167357,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048380207024215836,
+      "loss": 5.7991,
+      "mean_token_accuracy": 0.1482786476612091,
+      "num_tokens": 4278300.0,
+      "step": 2345
+    },
+    {
+      "entropy": 5.905145263671875,
+      "epoch": 1.9469759734879868,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00048368280670149145,
+      "loss": 5.8487,
+      "mean_token_accuracy": 0.1461447760462761,
+      "num_tokens": 4286454.0,
+      "step": 2350
+    },
+    {
+      "entropy": 5.805000495910645,
+      "epoch": 1.951118475559238,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004835631222247989,
+      "loss": 5.7243,
+      "mean_token_accuracy": 0.15050614029169082,
+      "num_tokens": 4294752.0,
+      "step": 2355
+    },
+    {
+      "entropy": 5.907592630386352,
+      "epoch": 1.9552609776304888,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00048344301705349735,
+      "loss": 5.7974,
+      "mean_token_accuracy": 0.14830030649900436,
+      "num_tokens": 4303195.0,
+      "step": 2360
+    },
+    {
+      "entropy": 5.841587924957276,
+      "epoch": 1.95940347970174,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048332249142985195,
+      "loss": 5.9211,
+      "mean_token_accuracy": 0.1373597078025341,
+      "num_tokens": 4311961.0,
+      "step": 2365
+    },
+    {
+      "entropy": 5.900353670120239,
+      "epoch": 1.9635459817729908,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004832015455969763,
+      "loss": 5.7748,
+      "mean_token_accuracy": 0.13879901468753814,
+      "num_tokens": 4322267.0,
+      "step": 2370
+    },
+    {
+      "entropy": 5.774641275405884,
+      "epoch": 1.9676884838442419,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048308017979883114,
+      "loss": 5.8838,
+      "mean_token_accuracy": 0.1426581546664238,
+      "num_tokens": 4330584.0,
+      "step": 2375
+    },
+    {
+      "entropy": 5.840176010131836,
+      "epoch": 1.971830985915493,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048295839428022454,
+      "loss": 5.7215,
+      "mean_token_accuracy": 0.14949245899915695,
+      "num_tokens": 4339215.0,
+      "step": 2380
+    },
+    {
+      "entropy": 5.869688034057617,
+      "epoch": 1.975973487986744,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00048283618928681127,
+      "loss": 5.7418,
+      "mean_token_accuracy": 0.1501791574060917,
+      "num_tokens": 4347711.0,
+      "step": 2385
+    },
+    {
+      "entropy": 5.764533996582031,
+      "epoch": 1.980115990057995,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004827135650650923,
+      "loss": 5.7445,
+      "mean_token_accuracy": 0.14758301600813867,
+      "num_tokens": 4356982.0,
+      "step": 2390
+    },
+    {
+      "entropy": 5.770398235321045,
+      "epoch": 1.984258492129246,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004825905218624139,
+      "loss": 5.7696,
+      "mean_token_accuracy": 0.14773683473467827,
+      "num_tokens": 4365378.0,
+      "step": 2395
+    },
+    {
+      "entropy": 5.9908288478851315,
+      "epoch": 1.988400994200497,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048246705992696756,
+      "loss": 5.8174,
+      "mean_token_accuracy": 0.14142358154058457,
+      "num_tokens": 4374007.0,
+      "step": 2400
+    },
+    {
+      "entropy": 5.9741987705230715,
+      "epoch": 1.992543496271748,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048234317950778975,
+      "loss": 5.9346,
+      "mean_token_accuracy": 0.1409923940896988,
+      "num_tokens": 4383909.0,
+      "step": 2405
+    },
+    {
+      "entropy": 5.967488718032837,
+      "epoch": 1.9966859983429992,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004822188808547607,
+      "loss": 5.9967,
+      "mean_token_accuracy": 0.13560240790247918,
+      "num_tokens": 4393145.0,
+      "step": 2410
+    },
+    {
+      "entropy": 5.751282596588135,
+      "epoch": 2.0008285004142503,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004820941642186043,
+      "loss": 5.7146,
+      "mean_token_accuracy": 0.14043126851320267,
+      "num_tokens": 4402024.0,
+      "step": 2415
+    },
+    {
+      "entropy": 5.91456356048584,
+      "epoch": 2.0049710024855014,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004819690298508879,
+      "loss": 5.5395,
+      "mean_token_accuracy": 0.1603303700685501,
+      "num_tokens": 4411377.0,
+      "step": 2420
+    },
+    {
+      "entropy": 5.758482313156128,
+      "epoch": 2.009113504556752,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048184347800402083,
+      "loss": 5.4299,
+      "mean_token_accuracy": 0.16564757078886033,
+      "num_tokens": 4419781.0,
+      "step": 2425
+    },
+    {
+      "entropy": 5.727555131912231,
+      "epoch": 2.013256006628003,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004817175089312551,
+      "loss": 5.4154,
+      "mean_token_accuracy": 0.16400155574083328,
+      "num_tokens": 4428427.0,
+      "step": 2430
+    },
+    {
+      "entropy": 5.749885892868042,
+      "epoch": 2.0173985086992543,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048159112288668403,
+      "loss": 5.4586,
+      "mean_token_accuracy": 0.15933601409196854,
+      "num_tokens": 4438156.0,
+      "step": 2435
+    },
+    {
+      "entropy": 5.876013088226318,
+      "epoch": 2.0215410107705054,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00048146432012524215,
+      "loss": 5.4819,
+      "mean_token_accuracy": 0.16306492537260056,
+      "num_tokens": 4446342.0,
+      "step": 2440
+    },
+    {
+      "entropy": 5.738983201980591,
+      "epoch": 2.0256835128417565,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00048133710090270446,
+      "loss": 5.5229,
+      "mean_token_accuracy": 0.1542331963777542,
+      "num_tokens": 4455582.0,
+      "step": 2445
+    },
+    {
+      "entropy": 5.815389633178711,
+      "epoch": 2.0298260149130076,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048120946547568596,
+      "loss": 5.5375,
+      "mean_token_accuracy": 0.15604802072048188,
+      "num_tokens": 4464518.0,
+      "step": 2450
+    },
+    {
+      "entropy": 5.927202749252319,
+      "epoch": 2.0339685169842583,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00048108141410164133,
+      "loss": 5.6588,
+      "mean_token_accuracy": 0.14534952044486998,
+      "num_tokens": 4475031.0,
+      "step": 2455
+    },
+    {
+      "entropy": 5.8722837448120115,
+      "epoch": 2.0381110190555094,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004809529470388642,
+      "loss": 5.5396,
+      "mean_token_accuracy": 0.1577153742313385,
+      "num_tokens": 4484609.0,
+      "step": 2460
+    },
+    {
+      "entropy": 5.787671709060669,
+      "epoch": 2.0422535211267605,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004808240645464866,
+      "loss": 5.5698,
+      "mean_token_accuracy": 0.15477177649736404,
+      "num_tokens": 4494238.0,
+      "step": 2465
+    },
+    {
+      "entropy": 5.684235668182373,
+      "epoch": 2.0463960231980116,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004806947668844787,
+      "loss": 5.4573,
+      "mean_token_accuracy": 0.16172746568918228,
+      "num_tokens": 4503258.0,
+      "step": 2470
+    },
+    {
+      "entropy": 5.786364412307739,
+      "epoch": 2.0505385252692627,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048056505431364794,
+      "loss": 5.5091,
+      "mean_token_accuracy": 0.15975141078233718,
+      "num_tokens": 4512071.0,
+      "step": 2475
+    },
+    {
+      "entropy": 5.736668491363526,
+      "epoch": 2.054681027340514,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00048043492709563877,
+      "loss": 5.3461,
+      "mean_token_accuracy": 0.17059434503316878,
+      "num_tokens": 4520219.0,
+      "step": 2480
+    },
+    {
+      "entropy": 5.672813034057617,
+      "epoch": 2.0588235294117645,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048030438549293193,
+      "loss": 5.5568,
+      "mean_token_accuracy": 0.15284566581249237,
+      "num_tokens": 4529386.0,
+      "step": 2485
+    },
+    {
+      "entropy": 5.830966377258301,
+      "epoch": 2.0629660314830156,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00048017342976884424,
+      "loss": 5.5638,
+      "mean_token_accuracy": 0.15199215039610864,
+      "num_tokens": 4538860.0,
+      "step": 2490
+    },
+    {
+      "entropy": 5.761076402664185,
+      "epoch": 2.0671085335542667,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048004206018752773,
+      "loss": 5.5299,
+      "mean_token_accuracy": 0.15335657596588134,
+      "num_tokens": 4547842.0,
+      "step": 2495
+    },
+    {
+      "entropy": 5.733208799362183,
+      "epoch": 2.071251035625518,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047991027701396895,
+      "loss": 5.5026,
+      "mean_token_accuracy": 0.15411428660154342,
+      "num_tokens": 4556238.0,
+      "step": 2500
+    },
+    {
+      "epoch": 2.071251035625518,
+      "eval_entropy": 5.642364594473768,
+      "eval_loss": 6.032641410827637,
+      "eval_mean_token_accuracy": 0.1416530203399882,
+      "eval_num_tokens": 4556238.0,
+      "eval_runtime": 2.7817,
+      "eval_samples_per_second": 1347.034,
+      "eval_steps_per_second": 168.604,
+      "step": 2500
+    },
+    {
+      "entropy": 5.732073068618774,
+      "epoch": 2.075393537696769,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004797780805139892,
+      "loss": 5.5069,
+      "mean_token_accuracy": 0.1587075412273407,
+      "num_tokens": 4565684.0,
+      "step": 2505
+    },
+    {
+      "entropy": 5.722462224960327,
+      "epoch": 2.07953603976802,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004796454709542432,
+      "loss": 5.467,
+      "mean_token_accuracy": 0.1590041533112526,
+      "num_tokens": 4575001.0,
+      "step": 2510
+    },
+    {
+      "entropy": 5.797696113586426,
+      "epoch": 2.083678541839271,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004795124486022189,
+      "loss": 5.5732,
+      "mean_token_accuracy": 0.15362634360790253,
+      "num_tokens": 4584128.0,
+      "step": 2515
+    },
+    {
+      "entropy": 5.711380529403686,
+      "epoch": 2.087821043910522,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047937901372623694,
+      "loss": 5.4191,
+      "mean_token_accuracy": 0.16894411891698838,
+      "num_tokens": 4593011.0,
+      "step": 2520
+    },
+    {
+      "entropy": 5.688450145721435,
+      "epoch": 2.091963545981773,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00047924516659545005,
+      "loss": 5.4668,
+      "mean_token_accuracy": 0.16164053976535797,
+      "num_tokens": 4602676.0,
+      "step": 2525
+    },
+    {
+      "entropy": 5.79151463508606,
+      "epoch": 2.096106048053024,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004791109074798425,
+      "loss": 5.5522,
+      "mean_token_accuracy": 0.15433578938245773,
+      "num_tokens": 4611915.0,
+      "step": 2530
+    },
+    {
+      "entropy": 5.748647403717041,
+      "epoch": 2.100248550124275,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004789762366502296,
+      "loss": 5.5184,
+      "mean_token_accuracy": 0.15959300100803375,
+      "num_tokens": 4621396.0,
+      "step": 2535
+    },
+    {
+      "entropy": 5.7374598503112795,
+      "epoch": 2.1043910521955262,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004788411543782571,
+      "loss": 5.5201,
+      "mean_token_accuracy": 0.1591552659869194,
+      "num_tokens": 4630533.0,
+      "step": 2540
+    },
+    {
+      "entropy": 5.678498649597168,
+      "epoch": 2.108533554266777,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004787056609364008,
+      "loss": 5.4599,
+      "mean_token_accuracy": 0.1542729303240776,
+      "num_tokens": 4639023.0,
+      "step": 2545
+    },
+    {
+      "entropy": 5.711474943161011,
+      "epoch": 2.112676056338028,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004785697565979657,
+      "loss": 5.4732,
+      "mean_token_accuracy": 0.15900285094976424,
+      "num_tokens": 4647975.0,
+      "step": 2550
+    },
+    {
+      "entropy": 5.72883243560791,
+      "epoch": 2.116818558409279,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004784334416370857,
+      "loss": 5.498,
+      "mean_token_accuracy": 0.15594277828931807,
+      "num_tokens": 4657555.0,
+      "step": 2555
+    },
+    {
+      "entropy": 5.745093822479248,
+      "epoch": 2.1209610604805302,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004782967163287231,
+      "loss": 5.4193,
+      "mean_token_accuracy": 0.16100153774023057,
+      "num_tokens": 4667228.0,
+      "step": 2560
+    },
+    {
+      "entropy": 5.716836738586426,
+      "epoch": 2.1251035625517813,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047815958094866756,
+      "loss": 5.4957,
+      "mean_token_accuracy": 0.1513967014849186,
+      "num_tokens": 4676723.0,
+      "step": 2565
+    },
+    {
+      "entropy": 5.7276163578033445,
+      "epoch": 2.1292460646230325,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004780220357735363,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.15479894131422042,
+      "num_tokens": 4686241.0,
+      "step": 2570
+    },
+    {
+      "entropy": 5.764811038970947,
+      "epoch": 2.1333885666942836,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047788408108077294,
+      "loss": 5.5404,
+      "mean_token_accuracy": 0.1561874568462372,
+      "num_tokens": 4695195.0,
+      "step": 2575
+    },
+    {
+      "entropy": 5.739376497268677,
+      "epoch": 2.1375310687655342,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004777457171486471,
+      "loss": 5.5871,
+      "mean_token_accuracy": 0.15551834553480148,
+      "num_tokens": 4704716.0,
+      "step": 2580
+    },
+    {
+      "entropy": 5.769967555999756,
+      "epoch": 2.1416735708367853,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004776069442562541,
+      "loss": 5.5562,
+      "mean_token_accuracy": 0.15339450240135194,
+      "num_tokens": 4713720.0,
+      "step": 2585
+    },
+    {
+      "entropy": 5.733342504501342,
+      "epoch": 2.1458160729080364,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004774677626835138,
+      "loss": 5.5366,
+      "mean_token_accuracy": 0.15301723331212996,
+      "num_tokens": 4722428.0,
+      "step": 2590
+    },
+    {
+      "entropy": 5.787648677825928,
+      "epoch": 2.1499585749792876,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00047732817271117084,
+      "loss": 5.5365,
+      "mean_token_accuracy": 0.15334974452853203,
+      "num_tokens": 4732395.0,
+      "step": 2595
+    },
+    {
+      "entropy": 5.773520803451538,
+      "epoch": 2.1541010770505387,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004771881746207934,
+      "loss": 5.5206,
+      "mean_token_accuracy": 0.15674114525318145,
+      "num_tokens": 4741071.0,
+      "step": 2600
+    },
+    {
+      "entropy": 5.607013797760009,
+      "epoch": 2.1582435791217898,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047704776869477285,
+      "loss": 5.5153,
+      "mean_token_accuracy": 0.15076877027750016,
+      "num_tokens": 4749876.0,
+      "step": 2605
+    },
+    {
+      "entropy": 5.784313154220581,
+      "epoch": 2.1623860811930404,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00047690695521632344,
+      "loss": 5.4669,
+      "mean_token_accuracy": 0.16002854704856873,
+      "num_tokens": 4758721.0,
+      "step": 2610
+    },
+    {
+      "entropy": 5.6919313907623295,
+      "epoch": 2.1665285832642915,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047676573446948114,
+      "loss": 5.4832,
+      "mean_token_accuracy": 0.15925751626491547,
+      "num_tokens": 4767162.0,
+      "step": 2615
+    },
+    {
+      "entropy": 5.71550760269165,
+      "epoch": 2.1706710853355426,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047662410673910376,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.1629578560590744,
+      "num_tokens": 4776397.0,
+      "step": 2620
+    },
+    {
+      "entropy": 5.665811157226562,
+      "epoch": 2.1748135874067938,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047648207231087,
+      "loss": 5.4579,
+      "mean_token_accuracy": 0.15894875824451446,
+      "num_tokens": 4784822.0,
+      "step": 2625
+    },
+    {
+      "entropy": 5.71003270149231,
+      "epoch": 2.178956089478045,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004763396314712786,
+      "loss": 5.5297,
+      "mean_token_accuracy": 0.15831661075353623,
+      "num_tokens": 4794272.0,
+      "step": 2630
+    },
+    {
+      "entropy": 5.64026665687561,
+      "epoch": 2.183098591549296,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004761967845076484,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.15510014593601226,
+      "num_tokens": 4804314.0,
+      "step": 2635
+    },
+    {
+      "entropy": 5.6847330093383786,
+      "epoch": 2.1872410936205466,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004760535317081174,
+      "loss": 5.4694,
+      "mean_token_accuracy": 0.15845878273248673,
+      "num_tokens": 4812685.0,
+      "step": 2640
+    },
+    {
+      "entropy": 5.715235567092895,
+      "epoch": 2.1913835956917977,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047590987336164207,
+      "loss": 5.5532,
+      "mean_token_accuracy": 0.1562129870057106,
+      "num_tokens": 4821761.0,
+      "step": 2645
+    },
+    {
+      "entropy": 5.741413831710815,
+      "epoch": 2.195526097763049,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00047576580975799705,
+      "loss": 5.5307,
+      "mean_token_accuracy": 0.1623195379972458,
+      "num_tokens": 4830515.0,
+      "step": 2650
+    },
+    {
+      "entropy": 5.782008934020996,
+      "epoch": 2.1996685998343,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004756213411877743,
+      "loss": 5.5059,
+      "mean_token_accuracy": 0.14879967421293258,
+      "num_tokens": 4840741.0,
+      "step": 2655
+    },
+    {
+      "entropy": 5.612497425079345,
+      "epoch": 2.203811101905551,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047547646794238277,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.16198884546756745,
+      "num_tokens": 4849571.0,
+      "step": 2660
+    },
+    {
+      "entropy": 5.689143991470337,
+      "epoch": 2.207953603976802,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047533119031404757,
+      "loss": 5.4138,
+      "mean_token_accuracy": 0.1696420982480049,
+      "num_tokens": 4857194.0,
+      "step": 2665
+    },
+    {
+      "entropy": 5.632621717453003,
+      "epoch": 2.212096106048053,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00047518550859580966,
+      "loss": 5.5074,
+      "mean_token_accuracy": 0.1592964008450508,
+      "num_tokens": 4865894.0,
+      "step": 2670
+    },
+    {
+      "entropy": 5.74289755821228,
+      "epoch": 2.216238608119304,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004750394230815249,
+      "loss": 5.5268,
+      "mean_token_accuracy": 0.15829544067382811,
+      "num_tokens": 4875131.0,
+      "step": 2675
+    },
+    {
+      "entropy": 5.670539522171021,
+      "epoch": 2.220381110190555,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047489293406586375,
+      "loss": 5.3777,
+      "mean_token_accuracy": 0.1620385766029358,
+      "num_tokens": 4884098.0,
+      "step": 2680
+    },
+    {
+      "entropy": 5.657269620895386,
+      "epoch": 2.224523612261806,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004747460418443106,
+      "loss": 5.4373,
+      "mean_token_accuracy": 0.15941016003489494,
+      "num_tokens": 4892963.0,
+      "step": 2685
+    },
+    {
+      "entropy": 5.690485191345215,
+      "epoch": 2.2286661143330573,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047459874671316305,
+      "loss": 5.4903,
+      "mean_token_accuracy": 0.15749651044607163,
+      "num_tokens": 4902097.0,
+      "step": 2690
+    },
+    {
+      "entropy": 5.608357000350952,
+      "epoch": 2.2328086164043084,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00047445104896953153,
+      "loss": 5.4015,
+      "mean_token_accuracy": 0.16532779037952422,
+      "num_tokens": 4910469.0,
+      "step": 2695
+    },
+    {
+      "entropy": 5.82715744972229,
+      "epoch": 2.236951118475559,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047430294891133846,
+      "loss": 5.6892,
+      "mean_token_accuracy": 0.1501491665840149,
+      "num_tokens": 4921024.0,
+      "step": 2700
+    },
+    {
+      "entropy": 5.749764776229858,
+      "epoch": 2.24109362054681,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004741544468373179,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15474629402160645,
+      "num_tokens": 4930297.0,
+      "step": 2705
+    },
+    {
+      "entropy": 5.687776947021485,
+      "epoch": 2.2452361226180613,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00047400554304701474,
+      "loss": 5.4692,
+      "mean_token_accuracy": 0.16049361675977708,
+      "num_tokens": 4938971.0,
+      "step": 2710
+    },
+    {
+      "entropy": 5.571053695678711,
+      "epoch": 2.2493786246893124,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047385623784078427,
+      "loss": 5.4899,
+      "mean_token_accuracy": 0.15803302526474,
+      "num_tokens": 4948531.0,
+      "step": 2715
+    },
+    {
+      "entropy": 5.787879133224488,
+      "epoch": 2.2535211267605635,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004737065315197913,
+      "loss": 5.5664,
+      "mean_token_accuracy": 0.1587745025753975,
+      "num_tokens": 4957430.0,
+      "step": 2720
+    },
+    {
+      "entropy": 5.720958280563354,
+      "epoch": 2.2576636288318146,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047355642438600987,
+      "loss": 5.5478,
+      "mean_token_accuracy": 0.16044806241989135,
+      "num_tokens": 4966681.0,
+      "step": 2725
+    },
+    {
+      "entropy": 5.638753175735474,
+      "epoch": 2.2618061309030653,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004734059167422225,
+      "loss": 5.4123,
+      "mean_token_accuracy": 0.1639780133962631,
+      "num_tokens": 4975327.0,
+      "step": 2730
+    },
+    {
+      "entropy": 5.634887552261352,
+      "epoch": 2.2659486329743164,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047325500889201956,
+      "loss": 5.4725,
+      "mean_token_accuracy": 0.16207436099648476,
+      "num_tokens": 4983741.0,
+      "step": 2735
+    },
+    {
+      "entropy": 5.673438644409179,
+      "epoch": 2.2700911350455675,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004731037011397986,
+      "loss": 5.5662,
+      "mean_token_accuracy": 0.15884149968624114,
+      "num_tokens": 4993171.0,
+      "step": 2740
+    },
+    {
+      "entropy": 5.752307653427124,
+      "epoch": 2.2742336371168186,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047295199379076403,
+      "loss": 5.6,
+      "mean_token_accuracy": 0.15322241187095642,
+      "num_tokens": 5002810.0,
+      "step": 2745
+    },
+    {
+      "entropy": 5.7073346138000485,
+      "epoch": 2.2783761391880697,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000472799887150926,
+      "loss": 5.4893,
+      "mean_token_accuracy": 0.15741414427757264,
+      "num_tokens": 5011875.0,
+      "step": 2750
+    },
+    {
+      "entropy": 5.679959297180176,
+      "epoch": 2.282518641259321,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004726473815271003,
+      "loss": 5.5349,
+      "mean_token_accuracy": 0.15855301022529603,
+      "num_tokens": 5020780.0,
+      "step": 2755
+    },
+    {
+      "entropy": 5.669374132156372,
+      "epoch": 2.286661143330572,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047249447722690747,
+      "loss": 5.4331,
+      "mean_token_accuracy": 0.16046710908412934,
+      "num_tokens": 5029896.0,
+      "step": 2760
+    },
+    {
+      "entropy": 5.652454280853272,
+      "epoch": 2.2908036454018226,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047234117455877215,
+      "loss": 5.4932,
+      "mean_token_accuracy": 0.1545606277883053,
+      "num_tokens": 5038956.0,
+      "step": 2765
+    },
+    {
+      "entropy": 5.639697694778443,
+      "epoch": 2.2949461474730737,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004721874738319225,
+      "loss": 5.4594,
+      "mean_token_accuracy": 0.17258906960487366,
+      "num_tokens": 5047005.0,
+      "step": 2770
+    },
+    {
+      "entropy": 5.655842065811157,
+      "epoch": 2.299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004720333753563898,
+      "loss": 5.5008,
+      "mean_token_accuracy": 0.15116662830114364,
+      "num_tokens": 5056475.0,
+      "step": 2775
+    },
+    {
+      "entropy": 5.704644584655762,
+      "epoch": 2.303231151615576,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00047187887944300747,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16439782381057738,
+      "num_tokens": 5064978.0,
+      "step": 2780
+    },
+    {
+      "entropy": 5.726413679122925,
+      "epoch": 2.307373653686827,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004717239864034107,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.15506226867437362,
+      "num_tokens": 5074235.0,
+      "step": 2785
+    },
+    {
+      "entropy": 5.662968683242798,
+      "epoch": 2.3115161557580777,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047156869655003554,
+      "loss": 5.4481,
+      "mean_token_accuracy": 0.16141191571950914,
+      "num_tokens": 5082386.0,
+      "step": 2790
+    },
+    {
+      "entropy": 5.631324100494385,
+      "epoch": 2.315658657829329,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047141301019611875,
+      "loss": 5.4164,
+      "mean_token_accuracy": 0.16636510640382768,
+      "num_tokens": 5090634.0,
+      "step": 2795
+    },
+    {
+      "entropy": 5.818879795074463,
+      "epoch": 2.31980115990058,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004712569276556967,
+      "loss": 5.5906,
+      "mean_token_accuracy": 0.14937217235565187,
+      "num_tokens": 5099003.0,
+      "step": 2800
+    },
+    {
+      "entropy": 5.617757177352905,
+      "epoch": 2.323943661971831,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00047110044924360484,
+      "loss": 5.6681,
+      "mean_token_accuracy": 0.1565680392086506,
+      "num_tokens": 5108631.0,
+      "step": 2805
+    },
+    {
+      "entropy": 5.732515859603882,
+      "epoch": 2.328086164043082,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00047094357527547725,
+      "loss": 5.4545,
+      "mean_token_accuracy": 0.15828853249549865,
+      "num_tokens": 5117309.0,
+      "step": 2810
+    },
+    {
+      "entropy": 5.686485624313354,
+      "epoch": 2.332228666114333,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004707863060677459,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.1627561032772064,
+      "num_tokens": 5126305.0,
+      "step": 2815
+    },
+    {
+      "entropy": 5.821760654449463,
+      "epoch": 2.3363711681855843,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00047062864193764,
+      "loss": 5.6022,
+      "mean_token_accuracy": 0.15580221712589265,
+      "num_tokens": 5135338.0,
+      "step": 2820
+    },
+    {
+      "entropy": 5.676449155807495,
+      "epoch": 2.340513670256835,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047047058320318525,
+      "loss": 5.5298,
+      "mean_token_accuracy": 0.16162888556718827,
+      "num_tokens": 5144518.0,
+      "step": 2825
+    },
+    {
+      "entropy": 5.702890157699585,
+      "epoch": 2.344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004703121301832034,
+      "loss": 5.6262,
+      "mean_token_accuracy": 0.15101130157709122,
+      "num_tokens": 5154102.0,
+      "step": 2830
+    },
+    {
+      "entropy": 5.7891247272491455,
+      "epoch": 2.348798674399337,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047015328319731153,
+      "loss": 5.5642,
+      "mean_token_accuracy": 0.15612353384494781,
+      "num_tokens": 5163719.0,
+      "step": 2835
+    },
+    {
+      "entropy": 5.677855682373047,
+      "epoch": 2.3529411764705883,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004699940425659215,
+      "loss": 5.5247,
+      "mean_token_accuracy": 0.15519936084747316,
+      "num_tokens": 5173192.0,
+      "step": 2840
+    },
+    {
+      "entropy": 5.622324132919312,
+      "epoch": 2.3570836785418394,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00046983440861023877,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.1663823500275612,
+      "num_tokens": 5182438.0,
+      "step": 2845
+    },
+    {
+      "entropy": 5.699106454849243,
+      "epoch": 2.36122618061309,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046967438165226275,
+      "loss": 5.6015,
+      "mean_token_accuracy": 0.15352728664875032,
+      "num_tokens": 5191595.0,
+      "step": 2850
+    },
+    {
+      "entropy": 5.659265756607056,
+      "epoch": 2.365368682684341,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004695139620147851,
+      "loss": 5.4682,
+      "mean_token_accuracy": 0.1643056571483612,
+      "num_tokens": 5200174.0,
+      "step": 2855
+    },
+    {
+      "entropy": 5.713242053985596,
+      "epoch": 2.3695111847555923,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046935315002138994,
+      "loss": 5.5804,
+      "mean_token_accuracy": 0.15417435318231582,
+      "num_tokens": 5210454.0,
+      "step": 2860
+    },
+    {
+      "entropy": 5.727554702758789,
+      "epoch": 2.3736536868268434,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004691919459964525,
+      "loss": 5.5019,
+      "mean_token_accuracy": 0.16056040227413176,
+      "num_tokens": 5219243.0,
+      "step": 2865
+    },
+    {
+      "entropy": 5.5862212657928465,
+      "epoch": 2.3777961888980945,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046903035026513894,
+      "loss": 5.4319,
+      "mean_token_accuracy": 0.1613735228776932,
+      "num_tokens": 5228656.0,
+      "step": 2870
+    },
+    {
+      "entropy": 5.587289905548095,
+      "epoch": 2.3819386909693456,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004688683631534056,
+      "loss": 5.4859,
+      "mean_token_accuracy": 0.156366066634655,
+      "num_tokens": 5237807.0,
+      "step": 2875
+    },
+    {
+      "entropy": 5.775411653518677,
+      "epoch": 2.3860811930405967,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004687059849879981,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.1609719067811966,
+      "num_tokens": 5247432.0,
+      "step": 2880
+    },
+    {
+      "entropy": 5.597807741165161,
+      "epoch": 2.3902236951118474,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00046854321609645093,
+      "loss": 5.4145,
+      "mean_token_accuracy": 0.16111126840114592,
+      "num_tokens": 5256680.0,
+      "step": 2885
+    },
+    {
+      "entropy": 5.6380726337432865,
+      "epoch": 2.3943661971830985,
+      "grad_norm": 2.15625,
+      "learning_rate": 0.00046838005680708677,
+      "loss": 5.5296,
+      "mean_token_accuracy": 0.14821895360946655,
+      "num_tokens": 5266793.0,
+      "step": 2890
+    },
+    {
+      "entropy": 5.710390281677246,
+      "epoch": 2.3985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046821650744901573,
+      "loss": 5.4452,
+      "mean_token_accuracy": 0.15857197493314742,
+      "num_tokens": 5275028.0,
+      "step": 2895
+    },
+    {
+      "entropy": 5.598506593704224,
+      "epoch": 2.4026512013256007,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004680525683521347,
+      "loss": 5.5226,
+      "mean_token_accuracy": 0.1566852644085884,
+      "num_tokens": 5284162.0,
+      "step": 2900
+    },
+    {
+      "entropy": 5.757242631912232,
+      "epoch": 2.406793703396852,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004678882398471269,
+      "loss": 5.5911,
+      "mean_token_accuracy": 0.15474308133125306,
+      "num_tokens": 5293263.0,
+      "step": 2905
+    },
+    {
+      "entropy": 5.654598569869995,
+      "epoch": 2.4109362054681025,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046772352226546066,
+      "loss": 5.477,
+      "mean_token_accuracy": 0.1666618600487709,
+      "num_tokens": 5301373.0,
+      "step": 2910
+    },
+    {
+      "entropy": 5.643638467788696,
+      "epoch": 2.4150787075393536,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004675584159393895,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.15203802064061164,
+      "num_tokens": 5311009.0,
+      "step": 2915
+    },
+    {
+      "entropy": 5.699149656295776,
+      "epoch": 2.4192212096106047,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046739292120195083,
+      "loss": 5.5245,
+      "mean_token_accuracy": 0.16085631400346756,
+      "num_tokens": 5320341.0,
+      "step": 2920
+    },
+    {
+      "entropy": 5.642888498306275,
+      "epoch": 2.423363711681856,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004672270383869657,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1610630214214325,
+      "num_tokens": 5329250.0,
+      "step": 2925
+    },
+    {
+      "entropy": 5.62935357093811,
+      "epoch": 2.427506213753107,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004670607678290379,
+      "loss": 5.4471,
+      "mean_token_accuracy": 0.16571807861328125,
+      "num_tokens": 5336515.0,
+      "step": 2930
+    },
+    {
+      "entropy": 5.655415058135986,
+      "epoch": 2.431648715824358,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004668941098635532,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.1595415398478508,
+      "num_tokens": 5346043.0,
+      "step": 2935
+    },
+    {
+      "entropy": 5.642036104202271,
+      "epoch": 2.435791217895609,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00046672706482667897,
+      "loss": 5.4925,
+      "mean_token_accuracy": 0.15832271426916122,
+      "num_tokens": 5355124.0,
+      "step": 2940
+    },
+    {
+      "entropy": 5.647988367080688,
+      "epoch": 2.43993371996686,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004665596330553633,
+      "loss": 5.5051,
+      "mean_token_accuracy": 0.1597411409020424,
+      "num_tokens": 5364556.0,
+      "step": 2945
+    },
+    {
+      "entropy": 5.67459397315979,
+      "epoch": 2.444076222038111,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046639181488733445,
+      "loss": 5.5316,
+      "mean_token_accuracy": 0.15941161364316941,
+      "num_tokens": 5373778.0,
+      "step": 2950
+    },
+    {
+      "entropy": 5.725692987442017,
+      "epoch": 2.448218724109362,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004662236106610999,
+      "loss": 5.5123,
+      "mean_token_accuracy": 0.15816445648670197,
+      "num_tokens": 5382633.0,
+      "step": 2955
+    },
+    {
+      "entropy": 5.5606146335601805,
+      "epoch": 2.452361226180613,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00046605502071594604,
+      "loss": 5.4163,
+      "mean_token_accuracy": 0.16387673169374467,
+      "num_tokens": 5391442.0,
+      "step": 2960
+    },
+    {
+      "entropy": 5.569208765029908,
+      "epoch": 2.4565037282518642,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004658860453919371,
+      "loss": 5.4388,
+      "mean_token_accuracy": 0.1621423229575157,
+      "num_tokens": 5400504.0,
+      "step": 2965
+    },
+    {
+      "entropy": 5.587312078475952,
+      "epoch": 2.460646230323115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004657166850299149,
+      "loss": 5.4448,
+      "mean_token_accuracy": 0.16361159086227417,
+      "num_tokens": 5408939.0,
+      "step": 2970
+    },
+    {
+      "entropy": 5.629118537902832,
+      "epoch": 2.464788732394366,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004655469399714978,
+      "loss": 5.4722,
+      "mean_token_accuracy": 0.1575179159641266,
+      "num_tokens": 5418934.0,
+      "step": 2975
+    },
+    {
+      "entropy": 5.572103595733642,
+      "epoch": 2.468931234465617,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004653768105590799,
+      "loss": 5.4955,
+      "mean_token_accuracy": 0.16008511185646057,
+      "num_tokens": 5427894.0,
+      "step": 2980
+    },
+    {
+      "entropy": 5.683330011367798,
+      "epoch": 2.4730737365368682,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046520629713583115,
+      "loss": 5.5003,
+      "mean_token_accuracy": 0.1613202139735222,
+      "num_tokens": 5436830.0,
+      "step": 2985
+    },
+    {
+      "entropy": 5.597742080688477,
+      "epoch": 2.4772162386081193,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046503540004569555,
+      "loss": 5.4814,
+      "mean_token_accuracy": 0.16423845291137695,
+      "num_tokens": 5445504.0,
+      "step": 2990
+    },
+    {
+      "entropy": 5.679887342453003,
+      "epoch": 2.4813587406793705,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046486411963339125,
+      "loss": 5.5405,
+      "mean_token_accuracy": 0.15501321628689765,
+      "num_tokens": 5455378.0,
+      "step": 2995
+    },
+    {
+      "entropy": 5.712473011016845,
+      "epoch": 2.4855012427506216,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046469245624440955,
+      "loss": 5.6107,
+      "mean_token_accuracy": 0.1589423656463623,
+      "num_tokens": 5465334.0,
+      "step": 3000
+    },
+    {
+      "epoch": 2.4855012427506216,
+      "eval_entropy": 5.590163738234465,
+      "eval_loss": 5.965892314910889,
+      "eval_mean_token_accuracy": 0.14734836894947329,
+      "eval_num_tokens": 5465334.0,
+      "eval_runtime": 2.7526,
+      "eval_samples_per_second": 1361.234,
+      "eval_steps_per_second": 170.381,
+      "step": 3000
+    },
+    {
+      "entropy": 5.751126146316528,
+      "epoch": 2.4896437448218722,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046452041022501423,
+      "loss": 5.5858,
+      "mean_token_accuracy": 0.15555662512779236,
+      "num_tokens": 5475701.0,
+      "step": 3005
+    },
+    {
+      "entropy": 5.699931526184082,
+      "epoch": 2.4937862468931233,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004643479819222411,
+      "loss": 5.4828,
+      "mean_token_accuracy": 0.16229774355888366,
+      "num_tokens": 5485244.0,
+      "step": 3010
+    },
+    {
+      "entropy": 5.596950387954712,
+      "epoch": 2.4979287489643744,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046417517168389664,
+      "loss": 5.4434,
+      "mean_token_accuracy": 0.1682340309023857,
+      "num_tokens": 5493587.0,
+      "step": 3015
+    },
+    {
+      "entropy": 5.6203169345855715,
+      "epoch": 2.5020712510356256,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004640019798585581,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.15738681554794312,
+      "num_tokens": 5503117.0,
+      "step": 3020
+    },
+    {
+      "entropy": 5.762682390213013,
+      "epoch": 2.5062137531068767,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046382840679557233,
+      "loss": 5.5352,
+      "mean_token_accuracy": 0.16024575680494307,
+      "num_tokens": 5512742.0,
+      "step": 3025
+    },
+    {
+      "entropy": 5.647499704360962,
+      "epoch": 2.5103562551781273,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00046365445284505516,
+      "loss": 5.4968,
+      "mean_token_accuracy": 0.16166605204343795,
+      "num_tokens": 5521862.0,
+      "step": 3030
+    },
+    {
+      "entropy": 5.597900772094727,
+      "epoch": 2.5144987572493784,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.0004634801183578907,
+      "loss": 5.488,
+      "mean_token_accuracy": 0.1608501434326172,
+      "num_tokens": 5531244.0,
+      "step": 3035
+    },
+    {
+      "entropy": 5.655751419067383,
+      "epoch": 2.5186412593206295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046330540368573063,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15176820158958435,
+      "num_tokens": 5540786.0,
+      "step": 3040
+    },
+    {
+      "entropy": 5.7291028022766115,
+      "epoch": 2.5227837613918807,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046313030918099365,
+      "loss": 5.5224,
+      "mean_token_accuracy": 0.1602902241051197,
+      "num_tokens": 5549961.0,
+      "step": 3045
+    },
+    {
+      "entropy": 5.620108366012573,
+      "epoch": 2.5269262634631318,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00046295483519686437,
+      "loss": 5.4591,
+      "mean_token_accuracy": 0.16417455673217773,
+      "num_tokens": 5558941.0,
+      "step": 3050
+    },
+    {
+      "entropy": 5.644694232940674,
+      "epoch": 2.531068765534383,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046277898208729306,
+      "loss": 5.4673,
+      "mean_token_accuracy": 0.16716189235448836,
+      "num_tokens": 5567630.0,
+      "step": 3055
+    },
+    {
+      "entropy": 5.586954879760742,
+      "epoch": 2.535211267605634,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004626027502069947,
+      "loss": 5.4301,
+      "mean_token_accuracy": 0.16521373838186265,
+      "num_tokens": 5576430.0,
+      "step": 3060
+    },
+    {
+      "entropy": 5.650178289413452,
+      "epoch": 2.539353769676885,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046242613991144814,
+      "loss": 5.5444,
+      "mean_token_accuracy": 0.1609214127063751,
+      "num_tokens": 5584785.0,
+      "step": 3065
+    },
+    {
+      "entropy": 5.585511493682861,
+      "epoch": 2.5434962717481358,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046224915155689586,
+      "loss": 5.478,
+      "mean_token_accuracy": 0.16044741719961167,
+      "num_tokens": 5594583.0,
+      "step": 3070
+    },
+    {
+      "entropy": 5.638197040557861,
+      "epoch": 2.547638773819387,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046207178550034244,
+      "loss": 5.4306,
+      "mean_token_accuracy": 0.1608849883079529,
+      "num_tokens": 5603498.0,
+      "step": 3075
+    },
+    {
+      "entropy": 5.7161966323852536,
+      "epoch": 2.551781275890638,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004618940420995547,
+      "loss": 5.5685,
+      "mean_token_accuracy": 0.15440558269619942,
+      "num_tokens": 5613101.0,
+      "step": 3080
+    },
+    {
+      "entropy": 5.665849494934082,
+      "epoch": 2.555923777961889,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004617159217130606,
+      "loss": 5.5409,
+      "mean_token_accuracy": 0.1569191187620163,
+      "num_tokens": 5621821.0,
+      "step": 3085
+    },
+    {
+      "entropy": 5.711861181259155,
+      "epoch": 2.5600662800331397,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004615374247001483,
+      "loss": 5.5738,
+      "mean_token_accuracy": 0.15701586306095122,
+      "num_tokens": 5631006.0,
+      "step": 3090
+    },
+    {
+      "entropy": 5.674423551559448,
+      "epoch": 2.564208782104391,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004613585514208659,
+      "loss": 5.5295,
+      "mean_token_accuracy": 0.15232180580496787,
+      "num_tokens": 5640159.0,
+      "step": 3095
+    },
+    {
+      "entropy": 5.592060613632202,
+      "epoch": 2.568351284175642,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046117930223602016,
+      "loss": 5.4003,
+      "mean_token_accuracy": 0.1694741129875183,
+      "num_tokens": 5648369.0,
+      "step": 3100
+    },
+    {
+      "entropy": 5.5982965469360355,
+      "epoch": 2.572493786246893,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004609996775071765,
+      "loss": 5.459,
+      "mean_token_accuracy": 0.1591326355934143,
+      "num_tokens": 5657669.0,
+      "step": 3105
+    },
+    {
+      "entropy": 5.56780686378479,
+      "epoch": 2.576636288318144,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004608196775966575,
+      "loss": 5.5319,
+      "mean_token_accuracy": 0.1610974356532097,
+      "num_tokens": 5666601.0,
+      "step": 3110
+    },
+    {
+      "entropy": 5.639773225784301,
+      "epoch": 2.5807787903893953,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046063930286754267,
+      "loss": 5.4465,
+      "mean_token_accuracy": 0.16618527621030807,
+      "num_tokens": 5675243.0,
+      "step": 3115
+    },
+    {
+      "entropy": 5.56855001449585,
+      "epoch": 2.5849212924606464,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00046045855368366756,
+      "loss": 5.466,
+      "mean_token_accuracy": 0.1630399063229561,
+      "num_tokens": 5683646.0,
+      "step": 3120
+    },
+    {
+      "entropy": 5.682586193084717,
+      "epoch": 2.5890637945318975,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.000460277430409623,
+      "loss": 5.5129,
+      "mean_token_accuracy": 0.17162407487630843,
+      "num_tokens": 5693069.0,
+      "step": 3125
+    },
+    {
+      "entropy": 5.587219524383545,
+      "epoch": 2.593206296603148,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046009593341075444,
+      "loss": 5.3754,
+      "mean_token_accuracy": 0.16499391198158264,
+      "num_tokens": 5701527.0,
+      "step": 3130
+    },
+    {
+      "entropy": 5.561956834793091,
+      "epoch": 2.5973487986743993,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004599140630531612,
+      "loss": 5.5403,
+      "mean_token_accuracy": 0.15682477951049806,
+      "num_tokens": 5710379.0,
+      "step": 3135
+    },
+    {
+      "entropy": 5.69692587852478,
+      "epoch": 2.6014913007456504,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004597318197036956,
+      "loss": 5.4524,
+      "mean_token_accuracy": 0.1643553927540779,
+      "num_tokens": 5719217.0,
+      "step": 3140
+    },
+    {
+      "entropy": 5.629226970672607,
+      "epoch": 2.6056338028169015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004595492037299624,
+      "loss": 5.5535,
+      "mean_token_accuracy": 0.16214104294776915,
+      "num_tokens": 5728331.0,
+      "step": 3145
+    },
+    {
+      "entropy": 5.608061027526856,
+      "epoch": 2.6097763048881526,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045936621550031806,
+      "loss": 5.5107,
+      "mean_token_accuracy": 0.16073764860630035,
+      "num_tokens": 5737696.0,
+      "step": 3150
+    },
+    {
+      "entropy": 5.731885099411011,
+      "epoch": 2.6139188069594033,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045918285538386973,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.16164542436599733,
+      "num_tokens": 5746191.0,
+      "step": 3155
+    },
+    {
+      "entropy": 5.703127813339234,
+      "epoch": 2.6180613090306544,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00045899912375047485,
+      "loss": 5.5619,
+      "mean_token_accuracy": 0.1629435494542122,
+      "num_tokens": 5754824.0,
+      "step": 3160
+    },
+    {
+      "entropy": 5.638229656219482,
+      "epoch": 2.6222038111019055,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045881502097074023,
+      "loss": 5.537,
+      "mean_token_accuracy": 0.1518124133348465,
+      "num_tokens": 5764863.0,
+      "step": 3165
+    },
+    {
+      "entropy": 5.614318180084228,
+      "epoch": 2.6263463131731566,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004586305474160212,
+      "loss": 5.5459,
+      "mean_token_accuracy": 0.15642993301153182,
+      "num_tokens": 5774273.0,
+      "step": 3170
+    },
+    {
+      "entropy": 5.666326427459717,
+      "epoch": 2.6304888152444077,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045844570345842116,
+      "loss": 5.5044,
+      "mean_token_accuracy": 0.16042826995253562,
+      "num_tokens": 5784085.0,
+      "step": 3175
+    },
+    {
+      "entropy": 5.659371709823608,
+      "epoch": 2.634631317315659,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004582604894707906,
+      "loss": 5.5336,
+      "mean_token_accuracy": 0.16884370446205138,
+      "num_tokens": 5793921.0,
+      "step": 3180
+    },
+    {
+      "entropy": 5.664378356933594,
+      "epoch": 2.63877381938691,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00045807490582672634,
+      "loss": 5.4972,
+      "mean_token_accuracy": 0.15294444859027861,
+      "num_tokens": 5803902.0,
+      "step": 3185
+    },
+    {
+      "entropy": 5.542481708526611,
+      "epoch": 2.6429163214581606,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00045788895290057083,
+      "loss": 5.4129,
+      "mean_token_accuracy": 0.16788192689418793,
+      "num_tokens": 5812089.0,
+      "step": 3190
+    },
+    {
+      "entropy": 5.6802209377288815,
+      "epoch": 2.6470588235294117,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00045770263106741137,
+      "loss": 5.5784,
+      "mean_token_accuracy": 0.1578851893544197,
+      "num_tokens": 5821072.0,
+      "step": 3195
+    },
+    {
+      "entropy": 5.628516340255738,
+      "epoch": 2.651201325600663,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004575159407030797,
+      "loss": 5.4029,
+      "mean_token_accuracy": 0.16388181746006011,
+      "num_tokens": 5829725.0,
+      "step": 3200
+    },
+    {
+      "entropy": 5.500157403945923,
+      "epoch": 2.655343827671914,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004573288821841505,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16496249735355378,
+      "num_tokens": 5838153.0,
+      "step": 3205
+    },
+    {
+      "entropy": 5.616616106033325,
+      "epoch": 2.659486329743165,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004571414558879413,
+      "loss": 5.4409,
+      "mean_token_accuracy": 0.15448423773050307,
+      "num_tokens": 5847270.0,
+      "step": 3210
+    },
+    {
+      "entropy": 5.6490891456604,
+      "epoch": 2.6636288318144157,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004569536621925114,
+      "loss": 5.5472,
+      "mean_token_accuracy": 0.15474478006362916,
+      "num_tokens": 5855954.0,
+      "step": 3215
+    },
+    {
+      "entropy": 5.634416961669922,
+      "epoch": 2.667771333885667,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004567655014766612,
+      "loss": 5.4529,
+      "mean_token_accuracy": 0.16163208782672883,
+      "num_tokens": 5864435.0,
+      "step": 3220
+    },
+    {
+      "entropy": 5.624909925460815,
+      "epoch": 2.671913835956918,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004565769741199314,
+      "loss": 5.5135,
+      "mean_token_accuracy": 0.1572384186089039,
+      "num_tokens": 5873964.0,
+      "step": 3225
+    },
+    {
+      "entropy": 5.727962255477905,
+      "epoch": 2.676056338028169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045638808050260237,
+      "loss": 5.4648,
+      "mean_token_accuracy": 0.16628578454256057,
+      "num_tokens": 5882738.0,
+      "step": 3230
+    },
+    {
+      "entropy": 5.587652635574341,
+      "epoch": 2.68019884009942,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00045619882100569317,
+      "loss": 5.5925,
+      "mean_token_accuracy": 0.15854242593050002,
+      "num_tokens": 5891749.0,
+      "step": 3235
+    },
+    {
+      "entropy": 5.627515649795532,
+      "epoch": 2.684341342170671,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004560091960109608,
+      "loss": 5.5372,
+      "mean_token_accuracy": 0.15811603218317033,
+      "num_tokens": 5900551.0,
+      "step": 3240
+    },
+    {
+      "entropy": 5.661735343933105,
+      "epoch": 2.6884838442419223,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004558192059008996,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.1517203629016876,
+      "num_tokens": 5909254.0,
+      "step": 3245
+    },
+    {
+      "entropy": 5.599635648727417,
+      "epoch": 2.692626346313173,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004556288510587406,
+      "loss": 5.4987,
+      "mean_token_accuracy": 0.15817683488130568,
+      "num_tokens": 5918357.0,
+      "step": 3250
+    },
+    {
+      "entropy": 5.662895679473877,
+      "epoch": 2.696768848384424,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00045543813186845004,
+      "loss": 5.5021,
+      "mean_token_accuracy": 0.15579704195261002,
+      "num_tokens": 5927742.0,
+      "step": 3255
+    },
+    {
+      "entropy": 5.627440690994263,
+      "epoch": 2.700911350455675,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004552470487147294,
+      "loss": 5.5823,
+      "mean_token_accuracy": 0.1556493915617466,
+      "num_tokens": 5937025.0,
+      "step": 3260
+    },
+    {
+      "entropy": 5.70678014755249,
+      "epoch": 2.7050538525269263,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045505560198301443,
+      "loss": 5.5615,
+      "mean_token_accuracy": 0.15135139375925064,
+      "num_tokens": 5946176.0,
+      "step": 3265
+    },
+    {
+      "entropy": 5.659924745559692,
+      "epoch": 2.7091963545981774,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045486379205947396,
+      "loss": 5.5233,
+      "mean_token_accuracy": 0.1584411159157753,
+      "num_tokens": 5955550.0,
+      "step": 3270
+    },
+    {
+      "entropy": 5.594695281982422,
+      "epoch": 2.713338856669428,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004546716193310098,
+      "loss": 5.4541,
+      "mean_token_accuracy": 0.1651945412158966,
+      "num_tokens": 5964467.0,
+      "step": 3275
+    },
+    {
+      "entropy": 5.605531787872314,
+      "epoch": 2.717481358740679,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000454479084185255,
+      "loss": 5.4855,
+      "mean_token_accuracy": 0.1514287754893303,
+      "num_tokens": 5973906.0,
+      "step": 3280
+    },
+    {
+      "entropy": 5.696796035766601,
+      "epoch": 2.7216238608119303,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004542861870105743,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.15694239139556884,
+      "num_tokens": 5983701.0,
+      "step": 3285
+    },
+    {
+      "entropy": 5.623150444030761,
+      "epoch": 2.7257663628831814,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045409292819606224,
+      "loss": 5.4971,
+      "mean_token_accuracy": 0.16068210303783417,
+      "num_tokens": 5993367.0,
+      "step": 3290
+    },
+    {
+      "entropy": 5.646857404708863,
+      "epoch": 2.7299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045389930813154297,
+      "loss": 5.4519,
+      "mean_token_accuracy": 0.16334805637598038,
+      "num_tokens": 6003752.0,
+      "step": 3295
+    },
+    {
+      "entropy": 5.675233459472656,
+      "epoch": 2.7340513670256836,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004537053272075693,
+      "loss": 5.5263,
+      "mean_token_accuracy": 0.1621565416455269,
+      "num_tokens": 6012486.0,
+      "step": 3300
+    },
+    {
+      "entropy": 5.5136041164398195,
+      "epoch": 2.7381938690969347,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045351098581542204,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.163838130235672,
+      "num_tokens": 6020742.0,
+      "step": 3305
+    },
+    {
+      "entropy": 5.646917295455933,
+      "epoch": 2.742336371168186,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004533162843471089,
+      "loss": 5.5009,
+      "mean_token_accuracy": 0.15474170595407485,
+      "num_tokens": 6030248.0,
+      "step": 3310
+    },
+    {
+      "entropy": 5.632185411453247,
+      "epoch": 2.7464788732394365,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004531212231953641,
+      "loss": 5.5436,
+      "mean_token_accuracy": 0.15157791674137117,
+      "num_tokens": 6039293.0,
+      "step": 3315
+    },
+    {
+      "entropy": 5.587828540802002,
+      "epoch": 2.7506213753106876,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004529258027536473,
+      "loss": 5.4134,
+      "mean_token_accuracy": 0.16378402560949326,
+      "num_tokens": 6048081.0,
+      "step": 3320
+    },
+    {
+      "entropy": 5.673684549331665,
+      "epoch": 2.7547638773819387,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004527300234161428,
+      "loss": 5.5753,
+      "mean_token_accuracy": 0.15969255268573762,
+      "num_tokens": 6057549.0,
+      "step": 3325
+    },
+    {
+      "entropy": 5.646554040908813,
+      "epoch": 2.75890637945319,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004525338855777591,
+      "loss": 5.5589,
+      "mean_token_accuracy": 0.15469738617539405,
+      "num_tokens": 6067372.0,
+      "step": 3330
+    },
+    {
+      "entropy": 5.595069122314453,
+      "epoch": 2.7630488815244405,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045233738963412746,
+      "loss": 5.4181,
+      "mean_token_accuracy": 0.1717814713716507,
+      "num_tokens": 6075532.0,
+      "step": 3335
+    },
+    {
+      "entropy": 5.5924467086792,
+      "epoch": 2.7671913835956916,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045214053598160173,
+      "loss": 5.4439,
+      "mean_token_accuracy": 0.16404369622468948,
+      "num_tokens": 6084389.0,
+      "step": 3340
+    },
+    {
+      "entropy": 5.598109579086303,
+      "epoch": 2.7713338856669427,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045194332501725725,
+      "loss": 5.4706,
+      "mean_token_accuracy": 0.16428767740726472,
+      "num_tokens": 6093536.0,
+      "step": 3345
+    },
+    {
+      "entropy": 5.637304496765137,
+      "epoch": 2.775476387738194,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00045174575713889014,
+      "loss": 5.5167,
+      "mean_token_accuracy": 0.16573925465345382,
+      "num_tokens": 6102677.0,
+      "step": 3350
+    },
+    {
+      "entropy": 5.677533674240112,
+      "epoch": 2.779618889809445,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004515478327450164,
+      "loss": 5.5926,
+      "mean_token_accuracy": 0.156404609978199,
+      "num_tokens": 6112430.0,
+      "step": 3355
+    },
+    {
+      "entropy": 5.643227863311767,
+      "epoch": 2.783761391880696,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00045134955223487093,
+      "loss": 5.4889,
+      "mean_token_accuracy": 0.16630716919898986,
+      "num_tokens": 6121408.0,
+      "step": 3360
+    },
+    {
+      "entropy": 5.57972674369812,
+      "epoch": 2.787903893951947,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00045115091600840757,
+      "loss": 5.5188,
+      "mean_token_accuracy": 0.15800442099571227,
+      "num_tokens": 6131339.0,
+      "step": 3365
+    },
+    {
+      "entropy": 5.624274778366089,
+      "epoch": 2.7920463960231983,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00045095192446629697,
+      "loss": 5.4816,
+      "mean_token_accuracy": 0.16174803227186202,
+      "num_tokens": 6140590.0,
+      "step": 3370
+    },
+    {
+      "entropy": 5.704814815521241,
+      "epoch": 2.796188898094449,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000450752578009927,
+      "loss": 5.5621,
+      "mean_token_accuracy": 0.1653067871928215,
+      "num_tokens": 6149958.0,
+      "step": 3375
+    },
+    {
+      "entropy": 5.58657054901123,
+      "epoch": 2.8003314001657,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045055287704140115,
+      "loss": 5.4346,
+      "mean_token_accuracy": 0.15949429720640182,
+      "num_tokens": 6159411.0,
+      "step": 3380
+    },
+    {
+      "entropy": 5.595387983322143,
+      "epoch": 2.804473902236951,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004503528219635381,
+      "loss": 5.5138,
+      "mean_token_accuracy": 0.1545591250061989,
+      "num_tokens": 6169264.0,
+      "step": 3385
+    },
+    {
+      "entropy": 5.617677021026611,
+      "epoch": 2.8086164043082023,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004501524131798709,
+      "loss": 5.4826,
+      "mean_token_accuracy": 0.16332829892635345,
+      "num_tokens": 6178374.0,
+      "step": 3390
+    },
+    {
+      "entropy": 5.7183191776275635,
+      "epoch": 2.812758906379453,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000449951651094646,
+      "loss": 5.4697,
+      "mean_token_accuracy": 0.15537519603967667,
+      "num_tokens": 6186918.0,
+      "step": 3395
+    },
+    {
+      "entropy": 5.566522169113159,
+      "epoch": 2.816901408450704,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044975053611282217,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.1613329365849495,
+      "num_tokens": 6196400.0,
+      "step": 3400
+    },
+    {
+      "entropy": 5.514105558395386,
+      "epoch": 2.821043910521955,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004495490686400706,
+      "loss": 5.3941,
+      "mean_token_accuracy": 0.1649619847536087,
+      "num_tokens": 6204849.0,
+      "step": 3405
+    },
+    {
+      "entropy": 5.615210485458374,
+      "epoch": 2.8251864125932062,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00044934724908277313,
+      "loss": 5.4834,
+      "mean_token_accuracy": 0.16362717300653457,
+      "num_tokens": 6214121.0,
+      "step": 3410
+    },
+    {
+      "entropy": 5.654720067977905,
+      "epoch": 2.8293289146644574,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044914507784802184,
+      "loss": 5.4835,
+      "mean_token_accuracy": 0.16509974151849746,
+      "num_tokens": 6223163.0,
+      "step": 3415
+    },
+    {
+      "entropy": 5.641624307632446,
+      "epoch": 2.8334714167357085,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004489425553436182,
+      "loss": 5.5084,
+      "mean_token_accuracy": 0.15882937759160995,
+      "num_tokens": 6231581.0,
+      "step": 3420
+    },
+    {
+      "entropy": 5.659383153915405,
+      "epoch": 2.8376139188069596,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00044873968197807213,
+      "loss": 5.5838,
+      "mean_token_accuracy": 0.1599879801273346,
+      "num_tokens": 6240015.0,
+      "step": 3425
+    },
+    {
+      "entropy": 5.666435050964355,
+      "epoch": 2.8417564208782107,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044853645816060156,
+      "loss": 5.5979,
+      "mean_token_accuracy": 0.1532062940299511,
+      "num_tokens": 6249083.0,
+      "step": 3430
+    },
+    {
+      "entropy": 5.6627098560333256,
+      "epoch": 2.8458989229494613,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00044833288430113104,
+      "loss": 5.5496,
+      "mean_token_accuracy": 0.1654196172952652,
+      "num_tokens": 6258798.0,
+      "step": 3435
+    },
+    {
+      "entropy": 5.609176588058472,
+      "epoch": 2.8500414250207124,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00044812896081029136,
+      "loss": 5.4023,
+      "mean_token_accuracy": 0.16617698073387147,
+      "num_tokens": 6267819.0,
+      "step": 3440
+    },
+    {
+      "entropy": 5.626215600967408,
+      "epoch": 2.8541839270919636,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004479246880994183,
+      "loss": 5.4804,
+      "mean_token_accuracy": 0.15876610353589057,
+      "num_tokens": 6276915.0,
+      "step": 3445
+    },
+    {
+      "entropy": 5.627827167510986,
+      "epoch": 2.8583264291632147,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004477200665805525,
+      "loss": 5.5216,
+      "mean_token_accuracy": 0.15861138105392455,
+      "num_tokens": 6285880.0,
+      "step": 3450
+    },
+    {
+      "entropy": 5.6323963642120365,
+      "epoch": 2.8624689312344658,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00044751509666643777,
+      "loss": 5.6351,
+      "mean_token_accuracy": 0.14970673844218255,
+      "num_tokens": 6295408.0,
+      "step": 3455
+    },
+    {
+      "entropy": 5.6166990280151365,
+      "epoch": 2.8666114333057164,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044730977877052084,
+      "loss": 5.3753,
+      "mean_token_accuracy": 0.16562075018882752,
+      "num_tokens": 6304110.0,
+      "step": 3460
+    },
+    {
+      "entropy": 5.669659185409546,
+      "epoch": 2.8707539353769675,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00044710411330695045,
+      "loss": 5.5254,
+      "mean_token_accuracy": 0.15842530727386475,
+      "num_tokens": 6312577.0,
+      "step": 3465
+    },
+    {
+      "entropy": 5.738371801376343,
+      "epoch": 2.8748964374482187,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00044689810069057615,
+      "loss": 5.606,
+      "mean_token_accuracy": 0.15023296922445298,
+      "num_tokens": 6321766.0,
+      "step": 3470
+    },
+    {
+      "entropy": 5.642851161956787,
+      "epoch": 2.8790389395194698,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004466917413369479,
+      "loss": 5.5731,
+      "mean_token_accuracy": 0.151870658993721,
+      "num_tokens": 6330327.0,
+      "step": 3475
+    },
+    {
+      "entropy": 5.577242517471314,
+      "epoch": 2.883181441590721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004464850356623152,
+      "loss": 5.4926,
+      "mean_token_accuracy": 0.16011006087064744,
+      "num_tokens": 6339596.0,
+      "step": 3480
+    },
+    {
+      "entropy": 5.613158226013184,
+      "epoch": 2.887323943661972,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00044627798408362597,
+      "loss": 5.3986,
+      "mean_token_accuracy": 0.1670537531375885,
+      "num_tokens": 6348080.0,
+      "step": 3485
+    },
+    {
+      "entropy": 5.613135099411011,
+      "epoch": 2.891466445733223,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004460705870185258,
+      "loss": 5.5277,
+      "mean_token_accuracy": 0.15435466170310974,
+      "num_tokens": 6357725.0,
+      "step": 3490
+    },
+    {
+      "entropy": 5.627930736541748,
+      "epoch": 2.8956089478044738,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004458628448853572,
+      "loss": 5.4831,
+      "mean_token_accuracy": 0.16073092967271804,
+      "num_tokens": 6366821.0,
+      "step": 3495
+    },
+    {
+      "entropy": 5.729347085952758,
+      "epoch": 2.899751449875725,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004456547581031589,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.15560299083590506,
+      "num_tokens": 6375641.0,
+      "step": 3500
+    },
+    {
+      "epoch": 2.899751449875725,
+      "eval_entropy": 5.414937326394673,
+      "eval_loss": 5.899942874908447,
+      "eval_mean_token_accuracy": 0.15183768343569629,
+      "eval_num_tokens": 6375641.0,
+      "eval_runtime": 2.9583,
+      "eval_samples_per_second": 1266.605,
+      "eval_steps_per_second": 158.537,
+      "step": 3500
+    },
+    {
+      "entropy": 5.548971128463745,
+      "epoch": 2.903893951946976,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004454463270916646,
+      "loss": 5.404,
+      "mean_token_accuracy": 0.1680065542459488,
+      "num_tokens": 6384596.0,
+      "step": 3505
+    },
+    {
+      "entropy": 5.719941425323486,
+      "epoch": 2.908036454018227,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004452375522713023,
+      "loss": 5.7474,
+      "mean_token_accuracy": 0.14030246064066887,
+      "num_tokens": 6395048.0,
+      "step": 3510
+    },
+    {
+      "entropy": 5.643452119827271,
+      "epoch": 2.912178956089478,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004450284340631938,
+      "loss": 5.5762,
+      "mean_token_accuracy": 0.15520212948322296,
+      "num_tokens": 6404828.0,
+      "step": 3515
+    },
+    {
+      "entropy": 5.627139854431152,
+      "epoch": 2.916321458160729,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044481897288915334,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.16042221039533616,
+      "num_tokens": 6414670.0,
+      "step": 3520
+    },
+    {
+      "entropy": 5.474701166152954,
+      "epoch": 2.92046396023198,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044460916917168697,
+      "loss": 5.3896,
+      "mean_token_accuracy": 0.16453512459993364,
+      "num_tokens": 6423446.0,
+      "step": 3525
+    },
+    {
+      "entropy": 5.5396312236785885,
+      "epoch": 2.924606462303231,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004443990233339918,
+      "loss": 5.4655,
+      "mean_token_accuracy": 0.1552535504102707,
+      "num_tokens": 6433412.0,
+      "step": 3530
+    },
+    {
+      "entropy": 5.652051544189453,
+      "epoch": 2.928748964374482,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004441885357999548,
+      "loss": 5.444,
+      "mean_token_accuracy": 0.1643453508615494,
+      "num_tokens": 6443520.0,
+      "step": 3535
+    },
+    {
+      "entropy": 5.674185514450073,
+      "epoch": 2.9328914664457333,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004439777069941524,
+      "loss": 5.5527,
+      "mean_token_accuracy": 0.15431721061468123,
+      "num_tokens": 6452933.0,
+      "step": 3540
+    },
+    {
+      "entropy": 5.550513553619385,
+      "epoch": 2.9370339685169844,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044376653734184935,
+      "loss": 5.3908,
+      "mean_token_accuracy": 0.16788479536771775,
+      "num_tokens": 6462113.0,
+      "step": 3545
+    },
+    {
+      "entropy": 5.468146800994873,
+      "epoch": 2.9411764705882355,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004435550272689979,
+      "loss": 5.4246,
+      "mean_token_accuracy": 0.16583772748708725,
+      "num_tokens": 6471411.0,
+      "step": 3550
+    },
+    {
+      "entropy": 5.662385082244873,
+      "epoch": 2.945318972659486,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00044334317720223706,
+      "loss": 5.532,
+      "mean_token_accuracy": 0.1599032275378704,
+      "num_tokens": 6480682.0,
+      "step": 3555
+    },
+    {
+      "entropy": 5.678339672088623,
+      "epoch": 2.9494614747307373,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00044313098756889154,
+      "loss": 5.5754,
+      "mean_token_accuracy": 0.15587076246738435,
+      "num_tokens": 6490614.0,
+      "step": 3560
+    },
+    {
+      "entropy": 5.585533094406128,
+      "epoch": 2.9536039768019884,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004429184587969708,
+      "loss": 5.4273,
+      "mean_token_accuracy": 0.16405707746744155,
+      "num_tokens": 6499079.0,
+      "step": 3565
+    },
+    {
+      "entropy": 5.668995666503906,
+      "epoch": 2.9577464788732395,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004427055913151689,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.14727827310562133,
+      "num_tokens": 6508556.0,
+      "step": 3570
+    },
+    {
+      "entropy": 5.70610499382019,
+      "epoch": 2.9618889809444906,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004424923855528626,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.15901169627904893,
+      "num_tokens": 6517934.0,
+      "step": 3575
+    },
+    {
+      "entropy": 5.614701509475708,
+      "epoch": 2.9660314830157413,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004422788419401114,
+      "loss": 5.4321,
+      "mean_token_accuracy": 0.1702651560306549,
+      "num_tokens": 6526995.0,
+      "step": 3580
+    },
+    {
+      "entropy": 5.572284936904907,
+      "epoch": 2.9701739850869924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00044206496090765595,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1573972523212433,
+      "num_tokens": 6535264.0,
+      "step": 3585
+    },
+    {
+      "entropy": 5.610080623626709,
+      "epoch": 2.9743164871582435,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00044185074288691776,
+      "loss": 5.3994,
+      "mean_token_accuracy": 0.1746336281299591,
+      "num_tokens": 6544498.0,
+      "step": 3590
+    },
+    {
+      "entropy": 5.582769393920898,
+      "epoch": 2.9784589892294946,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044163618830999794,
+      "loss": 5.5098,
+      "mean_token_accuracy": 0.16030704230070114,
+      "num_tokens": 6554761.0,
+      "step": 3595
+    },
+    {
+      "entropy": 5.603819417953491,
+      "epoch": 2.9826014913007457,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044142129760967643,
+      "loss": 5.5614,
+      "mean_token_accuracy": 0.15714355707168579,
+      "num_tokens": 6564039.0,
+      "step": 3600
+    },
+    {
+      "entropy": 5.679829835891724,
+      "epoch": 2.986743993371997,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004412060712194115,
+      "loss": 5.5068,
+      "mean_token_accuracy": 0.15993095487356185,
+      "num_tokens": 6572559.0,
+      "step": 3605
+    },
+    {
+      "entropy": 5.589264869689941,
+      "epoch": 2.990886495443248,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004409905095733381,
+      "loss": 5.4931,
+      "mean_token_accuracy": 0.1612076446413994,
+      "num_tokens": 6581621.0,
+      "step": 3610
+    },
+    {
+      "entropy": 5.550649166107178,
+      "epoch": 2.995028997514499,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00044077461310626764,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.15403861105442046,
+      "num_tokens": 6590353.0,
+      "step": 3615
+    },
+    {
+      "entropy": 5.64892258644104,
+      "epoch": 2.9991714995857497,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000440558382253687,
+      "loss": 5.4575,
+      "mean_token_accuracy": 0.16497674435377122,
+      "num_tokens": 6598822.0,
+      "step": 3620
+    },
+    {
+      "entropy": 5.5967165470123295,
+      "epoch": 3.003314001657001,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004403418174517573,
+      "loss": 5.2529,
+      "mean_token_accuracy": 0.16683556884527206,
+      "num_tokens": 6606728.0,
+      "step": 3625
+    },
+    {
+      "entropy": 5.599476623535156,
+      "epoch": 3.007456503728252,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044012491913731353,
+      "loss": 5.1756,
+      "mean_token_accuracy": 0.1743481546640396,
+      "num_tokens": 6616226.0,
+      "step": 3630
+    },
+    {
+      "entropy": 5.5095573425292965,
+      "epoch": 3.011599005799503,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004399076877478632,
+      "loss": 5.0266,
+      "mean_token_accuracy": 0.1868550017476082,
+      "num_tokens": 6624801.0,
+      "step": 3635
+    },
+    {
+      "entropy": 5.60879430770874,
+      "epoch": 3.015741507870754,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004396901237215858,
+      "loss": 5.2209,
+      "mean_token_accuracy": 0.16688485741615294,
+      "num_tokens": 6633043.0,
+      "step": 3640
+    },
+    {
+      "entropy": 5.538025426864624,
+      "epoch": 3.019884009942005,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043947222749733173,
+      "loss": 5.1692,
+      "mean_token_accuracy": 0.17499702274799347,
+      "num_tokens": 6641197.0,
+      "step": 3645
+    },
+    {
+      "entropy": 5.586767101287842,
+      "epoch": 3.024026512013256,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043925399951462153,
+      "loss": 5.2064,
+      "mean_token_accuracy": 0.1801098555326462,
+      "num_tokens": 6650411.0,
+      "step": 3650
+    },
+    {
+      "entropy": 5.4191618919372555,
+      "epoch": 3.028169014084507,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004390354402136449,
+      "loss": 5.0903,
+      "mean_token_accuracy": 0.17804521024227143,
+      "num_tokens": 6659405.0,
+      "step": 3655
+    },
+    {
+      "entropy": 5.583788824081421,
+      "epoch": 3.032311516155758,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0004388165500352597,
+      "loss": 5.1642,
+      "mean_token_accuracy": 0.17557908743619918,
+      "num_tokens": 6667701.0,
+      "step": 3660
+    },
+    {
+      "entropy": 5.614604902267456,
+      "epoch": 3.036454018227009,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004385973294209915,
+      "loss": 5.1881,
+      "mean_token_accuracy": 0.17808027267456056,
+      "num_tokens": 6676801.0,
+      "step": 3665
+    },
+    {
+      "entropy": 5.457578706741333,
+      "epoch": 3.0405965202982603,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004383777788130321,
+      "loss": 5.083,
+      "mean_token_accuracy": 0.17836775481700898,
+      "num_tokens": 6686005.0,
+      "step": 3670
+    },
+    {
+      "entropy": 5.479088068008423,
+      "epoch": 3.044739022369511,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004381578986542393,
+      "loss": 5.0937,
+      "mean_token_accuracy": 0.17960153371095658,
+      "num_tokens": 6694884.0,
+      "step": 3675
+    },
+    {
+      "entropy": 5.501745700836182,
+      "epoch": 3.048881524440762,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004379376893881352,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.17827630788087845,
+      "num_tokens": 6703476.0,
+      "step": 3680
+    },
+    {
+      "entropy": 5.616245269775391,
+      "epoch": 3.053024026512013,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004377171514589059,
+      "loss": 5.2531,
+      "mean_token_accuracy": 0.1736731931567192,
+      "num_tokens": 6712576.0,
+      "step": 3685
+    },
+    {
+      "entropy": 5.398316955566406,
+      "epoch": 3.0571665285832643,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004374962853114007,
+      "loss": 5.0545,
+      "mean_token_accuracy": 0.18062082678079605,
+      "num_tokens": 6721532.0,
+      "step": 3690
+    },
+    {
+      "entropy": 5.480774354934693,
+      "epoch": 3.0613090306545154,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004372750913911306,
+      "loss": 5.1028,
+      "mean_token_accuracy": 0.18300070911645888,
+      "num_tokens": 6730055.0,
+      "step": 3695
+    },
+    {
+      "entropy": 5.446919918060303,
+      "epoch": 3.0654515327257665,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004370535701442679,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.17969694286584853,
+      "num_tokens": 6739310.0,
+      "step": 3700
+    },
+    {
+      "entropy": 5.54828953742981,
+      "epoch": 3.069594034797017,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043683172201764537,
+      "loss": 5.2581,
+      "mean_token_accuracy": 0.16716694980859756,
+      "num_tokens": 6748976.0,
+      "step": 3705
+    },
+    {
+      "entropy": 5.539231872558593,
+      "epoch": 3.0737365368682683,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004366095474587547,
+      "loss": 5.1044,
+      "mean_token_accuracy": 0.17598106861114501,
+      "num_tokens": 6758043.0,
+      "step": 3710
+    },
+    {
+      "entropy": 5.500854778289795,
+      "epoch": 3.0778790389395194,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00043638704691574646,
+      "loss": 5.163,
+      "mean_token_accuracy": 0.1786232903599739,
+      "num_tokens": 6767554.0,
+      "step": 3715
+    },
+    {
+      "entropy": 5.560473966598511,
+      "epoch": 3.0820215410107705,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004361642208374283,
+      "loss": 5.1882,
+      "mean_token_accuracy": 0.1666739672422409,
+      "num_tokens": 6776161.0,
+      "step": 3720
+    },
+    {
+      "entropy": 5.476630401611328,
+      "epoch": 3.0861640430820216,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043594106967326495,
+      "loss": 5.1169,
+      "mean_token_accuracy": 0.17555084377527236,
+      "num_tokens": 6785371.0,
+      "step": 3725
+    },
+    {
+      "entropy": 5.494755983352661,
+      "epoch": 3.0903065451532727,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00043571759387337665,
+      "loss": 5.1456,
+      "mean_token_accuracy": 0.1808715656399727,
+      "num_tokens": 6795242.0,
+      "step": 3730
+    },
+    {
+      "entropy": 5.591760492324829,
+      "epoch": 3.0944490472245234,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004354937938885385,
+      "loss": 5.2235,
+      "mean_token_accuracy": 0.17338325083255768,
+      "num_tokens": 6805423.0,
+      "step": 3735
+    },
+    {
+      "entropy": 5.464981889724731,
+      "epoch": 3.0985915492957745,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004352696701701796,
+      "loss": 5.1469,
+      "mean_token_accuracy": 0.17880967408418655,
+      "num_tokens": 6814377.0,
+      "step": 3740
+    },
+    {
+      "entropy": 5.448660278320313,
+      "epoch": 3.1027340513670256,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004350452231703819,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.18132367432117463,
+      "num_tokens": 6824025.0,
+      "step": 3745
+    },
+    {
+      "entropy": 5.550149536132812,
+      "epoch": 3.1068765534382767,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043482045334187954,
+      "loss": 5.1273,
+      "mean_token_accuracy": 0.18649032860994338,
+      "num_tokens": 6833071.0,
+      "step": 3750
+    },
+    {
+      "entropy": 5.442513799667358,
+      "epoch": 3.111019055509528,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043459536113805785,
+      "loss": 5.1076,
+      "mean_token_accuracy": 0.17443138360977173,
+      "num_tokens": 6841983.0,
+      "step": 3755
+    },
+    {
+      "entropy": 5.447629022598266,
+      "epoch": 3.115161557580779,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00043436994701295237,
+      "loss": 5.1043,
+      "mean_token_accuracy": 0.17914267033338546,
+      "num_tokens": 6851436.0,
+      "step": 3760
+    },
+    {
+      "entropy": 5.461205101013183,
+      "epoch": 3.1193040596520296,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00043414421142124804,
+      "loss": 5.1836,
+      "mean_token_accuracy": 0.1672696813941002,
+      "num_tokens": 6861810.0,
+      "step": 3765
+    },
+    {
+      "entropy": 5.478553342819214,
+      "epoch": 3.1234465617232807,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00043391815481827814,
+      "loss": 5.0639,
+      "mean_token_accuracy": 0.18850475996732713,
+      "num_tokens": 6870418.0,
+      "step": 3770
+    },
+    {
+      "entropy": 5.41155161857605,
+      "epoch": 3.127589063794532,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004336917776600237,
+      "loss": 5.0683,
+      "mean_token_accuracy": 0.18221812546253205,
+      "num_tokens": 6879419.0,
+      "step": 3775
+    },
+    {
+      "entropy": 5.435874891281128,
+      "epoch": 3.131731565865783,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004334650804031122,
+      "loss": 5.1852,
+      "mean_token_accuracy": 0.17172302156686783,
+      "num_tokens": 6888768.0,
+      "step": 3780
+    },
+    {
+      "entropy": 5.507850646972656,
+      "epoch": 3.135874067937034,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004332380635048165,
+      "loss": 5.1296,
+      "mean_token_accuracy": 0.17900288552045823,
+      "num_tokens": 6897133.0,
+      "step": 3785
+    },
+    {
+      "entropy": 5.485491752624512,
+      "epoch": 3.140016570008285,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00043301072742305474,
+      "loss": 5.1773,
+      "mean_token_accuracy": 0.17168077528476716,
+      "num_tokens": 6904976.0,
+      "step": 3790
+    },
+    {
+      "entropy": 5.537312364578247,
+      "epoch": 3.1441590720795363,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0004327830726163886,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.17883574068546296,
+      "num_tokens": 6915138.0,
+      "step": 3795
+    },
+    {
+      "entropy": 5.548703718185425,
+      "epoch": 3.148301574150787,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0004325550995440226,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.1752033144235611,
+      "num_tokens": 6923962.0,
+      "step": 3800
+    },
+    {
+      "entropy": 5.386642169952393,
+      "epoch": 3.152444076222038,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043232680866580356,
+      "loss": 5.1478,
+      "mean_token_accuracy": 0.17952724993228913,
+      "num_tokens": 6932102.0,
+      "step": 3805
+    },
+    {
+      "entropy": 5.464086627960205,
+      "epoch": 3.156586578293289,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00043209820044221893,
+      "loss": 5.153,
+      "mean_token_accuracy": 0.1785269558429718,
+      "num_tokens": 6940354.0,
+      "step": 3810
+    },
+    {
+      "entropy": 5.4963922023773195,
+      "epoch": 3.1607290803645403,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00043186927533439654,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.1716633692383766,
+      "num_tokens": 6949779.0,
+      "step": 3815
+    },
+    {
+      "entropy": 5.536400413513183,
+      "epoch": 3.1648715824357914,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043164003380410335,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.17445194274187087,
+      "num_tokens": 6958760.0,
+      "step": 3820
+    },
+    {
+      "entropy": 5.486375331878662,
+      "epoch": 3.169014084507042,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004314104763137445,
+      "loss": 5.1037,
+      "mean_token_accuracy": 0.18134674280881882,
+      "num_tokens": 6967535.0,
+      "step": 3825
+    },
+    {
+      "entropy": 5.469356393814087,
+      "epoch": 3.173156586578293,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043118060332636264,
+      "loss": 5.2036,
+      "mean_token_accuracy": 0.17774708271026612,
+      "num_tokens": 6976211.0,
+      "step": 3830
+    },
+    {
+      "entropy": 5.576221227645874,
+      "epoch": 3.1772990886495442,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043095041530563665,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.17325948774814606,
+      "num_tokens": 6986001.0,
+      "step": 3835
+    },
+    {
+      "entropy": 5.420689487457276,
+      "epoch": 3.1814415907207954,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00043071991271588104,
+      "loss": 5.2006,
+      "mean_token_accuracy": 0.18302187621593474,
+      "num_tokens": 6994568.0,
+      "step": 3840
+    },
+    {
+      "entropy": 5.52434401512146,
+      "epoch": 3.1855840927920465,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004304890960220446,
+      "loss": 5.2921,
+      "mean_token_accuracy": 0.16869494169950486,
+      "num_tokens": 7004744.0,
+      "step": 3845
+    },
+    {
+      "entropy": 5.520354557037353,
+      "epoch": 3.1897265948632976,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043025796568970975,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.1696591019630432,
+      "num_tokens": 7014315.0,
+      "step": 3850
+    },
+    {
+      "entropy": 5.523347425460815,
+      "epoch": 3.1938690969345487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043002652218509184,
+      "loss": 5.1172,
+      "mean_token_accuracy": 0.18450311720371246,
+      "num_tokens": 7022258.0,
+      "step": 3855
+    },
+    {
+      "entropy": 5.522213459014893,
+      "epoch": 3.1980115990057993,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004297947659750376,
+      "loss": 5.2587,
+      "mean_token_accuracy": 0.1674624815583229,
+      "num_tokens": 7031732.0,
+      "step": 3860
+    },
+    {
+      "entropy": 5.467557621002197,
+      "epoch": 3.2021541010770505,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004295626975270246,
+      "loss": 5.1818,
+      "mean_token_accuracy": 0.1766605108976364,
+      "num_tokens": 7040478.0,
+      "step": 3865
+    },
+    {
+      "entropy": 5.490935039520264,
+      "epoch": 3.2062966031483016,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00042933031730916024,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.18396904766559602,
+      "num_tokens": 7049360.0,
+      "step": 3870
+    },
+    {
+      "entropy": 5.5688018798828125,
+      "epoch": 3.2104391052195527,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000429097625790181,
+      "loss": 5.2267,
+      "mean_token_accuracy": 0.17498258501291275,
+      "num_tokens": 7059271.0,
+      "step": 3875
+    },
+    {
+      "entropy": 5.398471450805664,
+      "epoch": 3.2145816072908038,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004288646234394508,
+      "loss": 5.2177,
+      "mean_token_accuracy": 0.17296054661273957,
+      "num_tokens": 7069038.0,
+      "step": 3880
+    },
+    {
+      "entropy": 5.5407984256744385,
+      "epoch": 3.218724109362055,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00042863131072696115,
+      "loss": 5.1617,
+      "mean_token_accuracy": 0.17704827934503556,
+      "num_tokens": 7077971.0,
+      "step": 3885
+    },
+    {
+      "entropy": 5.4559561252594,
+      "epoch": 3.2228666114333056,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00042839768812332905,
+      "loss": 5.1612,
+      "mean_token_accuracy": 0.17406544089317322,
+      "num_tokens": 7086821.0,
+      "step": 3890
+    },
+    {
+      "entropy": 5.419722366333008,
+      "epoch": 3.2270091135045567,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000428163756099797,
+      "loss": 5.1859,
+      "mean_token_accuracy": 0.17225482910871506,
+      "num_tokens": 7095407.0,
+      "step": 3895
+    },
+    {
+      "entropy": 5.48249921798706,
+      "epoch": 3.2311516155758078,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004279295151282314,
+      "loss": 5.1116,
+      "mean_token_accuracy": 0.18240531533956528,
+      "num_tokens": 7103964.0,
+      "step": 3900
+    },
+    {
+      "entropy": 5.564240264892578,
+      "epoch": 3.235294117647059,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004276949656811217,
+      "loss": 5.251,
+      "mean_token_accuracy": 0.17079487890005113,
+      "num_tokens": 7113571.0,
+      "step": 3905
+    },
+    {
+      "entropy": 5.522033739089966,
+      "epoch": 3.23943661971831,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00042746010823158006,
+      "loss": 5.2738,
+      "mean_token_accuracy": 0.17067040055990218,
+      "num_tokens": 7122844.0,
+      "step": 3910
+    },
+    {
+      "entropy": 5.4324219703674315,
+      "epoch": 3.243579121789561,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042722494325333945,
+      "loss": 5.1326,
+      "mean_token_accuracy": 0.176889306306839,
+      "num_tokens": 7132123.0,
+      "step": 3915
+    },
+    {
+      "entropy": 5.458636379241943,
+      "epoch": 3.2477216238608118,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004269894712207533,
+      "loss": 5.1819,
+      "mean_token_accuracy": 0.18051923513412477,
+      "num_tokens": 7141068.0,
+      "step": 3920
+    },
+    {
+      "entropy": 5.43212571144104,
+      "epoch": 3.251864125932063,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004267536926087947,
+      "loss": 5.1925,
+      "mean_token_accuracy": 0.1708641156554222,
+      "num_tokens": 7150829.0,
+      "step": 3925
+    },
+    {
+      "entropy": 5.458031702041626,
+      "epoch": 3.256006628003314,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004265176078930545,
+      "loss": 5.1703,
+      "mean_token_accuracy": 0.17345706522464752,
+      "num_tokens": 7160814.0,
+      "step": 3930
+    },
+    {
+      "entropy": 5.498150825500488,
+      "epoch": 3.260149130074565,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00042628121754974166,
+      "loss": 5.2634,
+      "mean_token_accuracy": 0.17203340232372283,
+      "num_tokens": 7170085.0,
+      "step": 3935
+    },
+    {
+      "entropy": 5.590339422225952,
+      "epoch": 3.264291632145816,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004260445220556811,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.1736685037612915,
+      "num_tokens": 7179366.0,
+      "step": 3940
+    },
+    {
+      "entropy": 5.52174072265625,
+      "epoch": 3.2684341342170673,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00042580752188831376,
+      "loss": 5.2819,
+      "mean_token_accuracy": 0.17067586481571198,
+      "num_tokens": 7188342.0,
+      "step": 3945
+    },
+    {
+      "entropy": 5.556540441513062,
+      "epoch": 3.272576636288318,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004255702175256946,
+      "loss": 5.3095,
+      "mean_token_accuracy": 0.17531315684318544,
+      "num_tokens": 7197466.0,
+      "step": 3950
+    },
+    {
+      "entropy": 5.42687840461731,
+      "epoch": 3.276719138359569,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00042533260944649273,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17852312475442886,
+      "num_tokens": 7205462.0,
+      "step": 3955
+    },
+    {
+      "entropy": 5.424286890029907,
+      "epoch": 3.28086164043082,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004250946981299893,
+      "loss": 5.1838,
+      "mean_token_accuracy": 0.17682615667581558,
+      "num_tokens": 7215115.0,
+      "step": 3960
+    },
+    {
+      "entropy": 5.459038209915161,
+      "epoch": 3.2850041425020713,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00042485648405607776,
+      "loss": 5.1379,
+      "mean_token_accuracy": 0.17029522657394408,
+      "num_tokens": 7224909.0,
+      "step": 3965
+    },
+    {
+      "entropy": 5.392039203643799,
+      "epoch": 3.2891466445733224,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004246179677052617,
+      "loss": 5.0642,
+      "mean_token_accuracy": 0.18698266595602037,
+      "num_tokens": 7232946.0,
+      "step": 3970
+    },
+    {
+      "entropy": 5.362467432022095,
+      "epoch": 3.2932891466445735,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004243791495586547,
+      "loss": 5.1736,
+      "mean_token_accuracy": 0.17996304631233215,
+      "num_tokens": 7241104.0,
+      "step": 3975
+    },
+    {
+      "entropy": 5.567073392868042,
+      "epoch": 3.297431648715824,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004241400300979791,
+      "loss": 5.2257,
+      "mean_token_accuracy": 0.1786801502108574,
+      "num_tokens": 7250749.0,
+      "step": 3980
+    },
+    {
+      "entropy": 5.447740983963013,
+      "epoch": 3.3015741507870753,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004239006098055651,
+      "loss": 5.124,
+      "mean_token_accuracy": 0.1787547677755356,
+      "num_tokens": 7258687.0,
+      "step": 3985
+    },
+    {
+      "entropy": 5.41381049156189,
+      "epoch": 3.3057166528583264,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004236608891643494,
+      "loss": 5.1572,
+      "mean_token_accuracy": 0.17702401280403138,
+      "num_tokens": 7267316.0,
+      "step": 3990
+    },
+    {
+      "entropy": 5.448715782165527,
+      "epoch": 3.3098591549295775,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004234208686578748,
+      "loss": 5.1777,
+      "mean_token_accuracy": 0.17505329996347427,
+      "num_tokens": 7276734.0,
+      "step": 3995
+    },
+    {
+      "entropy": 5.440592193603516,
+      "epoch": 3.3140016570008286,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00042318054877028876,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17840310037136078,
+      "num_tokens": 7285916.0,
+      "step": 4000
+    },
+    {
+      "epoch": 3.3140016570008286,
+      "eval_entropy": 5.363256025416002,
+      "eval_loss": 5.893955707550049,
+      "eval_mean_token_accuracy": 0.15349840453819935,
+      "eval_num_tokens": 7285916.0,
+      "eval_runtime": 2.7471,
+      "eval_samples_per_second": 1363.961,
+      "eval_steps_per_second": 170.723,
+      "step": 4000
+    },
+    {
+      "entropy": 5.487448406219483,
+      "epoch": 3.3181441590720797,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042293992998634314,
+      "loss": 5.1667,
+      "mean_token_accuracy": 0.17779863625764847,
+      "num_tokens": 7294184.0,
+      "step": 4005
+    },
+    {
+      "entropy": 5.414953899383545,
+      "epoch": 3.3222866611433304,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004226990127913918,
+      "loss": 5.177,
+      "mean_token_accuracy": 0.1768763244152069,
+      "num_tokens": 7302647.0,
+      "step": 4010
+    },
+    {
+      "entropy": 5.442982530593872,
+      "epoch": 3.3264291632145815,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004224577976713915,
+      "loss": 5.2506,
+      "mean_token_accuracy": 0.16832198798656464,
+      "num_tokens": 7311455.0,
+      "step": 4015
+    },
+    {
+      "entropy": 5.609448575973511,
+      "epoch": 3.3305716652858326,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00042221628511289927,
+      "loss": 5.3136,
+      "mean_token_accuracy": 0.16625809520483018,
+      "num_tokens": 7320978.0,
+      "step": 4020
+    },
+    {
+      "entropy": 5.612923622131348,
+      "epoch": 3.3347141673570837,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004219744756030723,
+      "loss": 5.3273,
+      "mean_token_accuracy": 0.16872513592243193,
+      "num_tokens": 7330202.0,
+      "step": 4025
+    },
+    {
+      "entropy": 5.4015247344970705,
+      "epoch": 3.338856669428335,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00042173236962966706,
+      "loss": 5.1649,
+      "mean_token_accuracy": 0.17969190180301667,
+      "num_tokens": 7339121.0,
+      "step": 4030
+    },
+    {
+      "entropy": 5.492907905578614,
+      "epoch": 3.342999171499586,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004214899676810375,
+      "loss": 5.2251,
+      "mean_token_accuracy": 0.1665240079164505,
+      "num_tokens": 7348631.0,
+      "step": 4035
+    },
+    {
+      "entropy": 5.469464063644409,
+      "epoch": 3.347141673570837,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004212472702461348,
+      "loss": 5.1843,
+      "mean_token_accuracy": 0.1820875510573387,
+      "num_tokens": 7358354.0,
+      "step": 4040
+    },
+    {
+      "entropy": 5.454071807861328,
+      "epoch": 3.3512841756420877,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004210042778145064,
+      "loss": 5.2038,
+      "mean_token_accuracy": 0.17285584658384323,
+      "num_tokens": 7367031.0,
+      "step": 4045
+    },
+    {
+      "entropy": 5.436822319030762,
+      "epoch": 3.355426677713339,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00042076099087629443,
+      "loss": 5.2025,
+      "mean_token_accuracy": 0.1784903883934021,
+      "num_tokens": 7375996.0,
+      "step": 4050
+    },
+    {
+      "entropy": 5.552537536621093,
+      "epoch": 3.35956917978459,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00042051740992223534,
+      "loss": 5.2567,
+      "mean_token_accuracy": 0.16439318358898164,
+      "num_tokens": 7385355.0,
+      "step": 4055
+    },
+    {
+      "entropy": 5.402252960205078,
+      "epoch": 3.363711681855841,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004202735354436586,
+      "loss": 5.0999,
+      "mean_token_accuracy": 0.1792566418647766,
+      "num_tokens": 7394384.0,
+      "step": 4060
+    },
+    {
+      "entropy": 5.511481237411499,
+      "epoch": 3.367854183927092,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00042002936793248546,
+      "loss": 5.2458,
+      "mean_token_accuracy": 0.1770971804857254,
+      "num_tokens": 7403141.0,
+      "step": 4065
+    },
+    {
+      "entropy": 5.508409786224365,
+      "epoch": 3.371996685998343,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004197849078812286,
+      "loss": 5.199,
+      "mean_token_accuracy": 0.1739865079522133,
+      "num_tokens": 7413331.0,
+      "step": 4070
+    },
+    {
+      "entropy": 5.471702003479004,
+      "epoch": 3.376139188069594,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004195401557829907,
+      "loss": 5.2368,
+      "mean_token_accuracy": 0.17052597552537918,
+      "num_tokens": 7422362.0,
+      "step": 4075
+    },
+    {
+      "entropy": 5.4563977241516115,
+      "epoch": 3.380281690140845,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041929511213146343,
+      "loss": 5.1661,
+      "mean_token_accuracy": 0.18033864200115204,
+      "num_tokens": 7431350.0,
+      "step": 4080
+    },
+    {
+      "entropy": 5.4815953254699705,
+      "epoch": 3.384424192212096,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004190497774209266,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.1800685152411461,
+      "num_tokens": 7440382.0,
+      "step": 4085
+    },
+    {
+      "entropy": 5.51438536643982,
+      "epoch": 3.3885666942833472,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00041880415214624715,
+      "loss": 5.2355,
+      "mean_token_accuracy": 0.17847414761781694,
+      "num_tokens": 7449357.0,
+      "step": 4090
+    },
+    {
+      "entropy": 5.463125705718994,
+      "epoch": 3.3927091963545983,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004185582368028781,
+      "loss": 5.1468,
+      "mean_token_accuracy": 0.1853232800960541,
+      "num_tokens": 7457544.0,
+      "step": 4095
+    },
+    {
+      "entropy": 5.409591102600098,
+      "epoch": 3.3968516984258494,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004183120318868577,
+      "loss": 5.1616,
+      "mean_token_accuracy": 0.18774343580007552,
+      "num_tokens": 7465915.0,
+      "step": 4100
+    },
+    {
+      "entropy": 5.435869741439819,
+      "epoch": 3.4009942004971,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00041806553789480787,
+      "loss": 5.1161,
+      "mean_token_accuracy": 0.1833360970020294,
+      "num_tokens": 7474551.0,
+      "step": 4105
+    },
+    {
+      "entropy": 5.507905626296997,
+      "epoch": 3.405136702568351,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00041781875532393423,
+      "loss": 5.2287,
+      "mean_token_accuracy": 0.17473389357328414,
+      "num_tokens": 7483271.0,
+      "step": 4110
+    },
+    {
+      "entropy": 5.474280261993409,
+      "epoch": 3.4092792046396023,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00041757168467202404,
+      "loss": 5.2371,
+      "mean_token_accuracy": 0.17051266878843307,
+      "num_tokens": 7493179.0,
+      "step": 4115
+    },
+    {
+      "entropy": 5.47375521659851,
+      "epoch": 3.4134217067108534,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00041732432643744576,
+      "loss": 5.2132,
+      "mean_token_accuracy": 0.17562344074249267,
+      "num_tokens": 7501858.0,
+      "step": 4120
+    },
+    {
+      "entropy": 5.562008953094482,
+      "epoch": 3.4175642087821045,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004170766811191481,
+      "loss": 5.282,
+      "mean_token_accuracy": 0.16895801872014998,
+      "num_tokens": 7511817.0,
+      "step": 4125
+    },
+    {
+      "entropy": 5.3949895858764645,
+      "epoch": 3.421706710853355,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.0004168287492166587,
+      "loss": 5.2513,
+      "mean_token_accuracy": 0.175115604698658,
+      "num_tokens": 7521655.0,
+      "step": 4130
+    },
+    {
+      "entropy": 5.478516006469727,
+      "epoch": 3.4258492129246063,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041658053123008325,
+      "loss": 5.2289,
+      "mean_token_accuracy": 0.17174260020256044,
+      "num_tokens": 7531321.0,
+      "step": 4135
+    },
+    {
+      "entropy": 5.469200515747071,
+      "epoch": 3.4299917149958574,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004163320276601046,
+      "loss": 5.2104,
+      "mean_token_accuracy": 0.17538849860429764,
+      "num_tokens": 7540613.0,
+      "step": 4140
+    },
+    {
+      "entropy": 5.478423690795898,
+      "epoch": 3.4341342170671085,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004160832390079816,
+      "loss": 5.2823,
+      "mean_token_accuracy": 0.17514234632253647,
+      "num_tokens": 7549598.0,
+      "step": 4145
+    },
+    {
+      "entropy": 5.449503993988037,
+      "epoch": 3.4382767191383596,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00041583416577554815,
+      "loss": 5.1509,
+      "mean_token_accuracy": 0.18169643133878707,
+      "num_tokens": 7558738.0,
+      "step": 4150
+    },
+    {
+      "entropy": 5.454873323440552,
+      "epoch": 3.4424192212096107,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041558480846521213,
+      "loss": 5.1996,
+      "mean_token_accuracy": 0.17627429366111755,
+      "num_tokens": 7566873.0,
+      "step": 4155
+    },
+    {
+      "entropy": 5.413073778152466,
+      "epoch": 3.446561723280862,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041533516757995455,
+      "loss": 5.18,
+      "mean_token_accuracy": 0.1794169783592224,
+      "num_tokens": 7576645.0,
+      "step": 4160
+    },
+    {
+      "entropy": 5.449489498138428,
+      "epoch": 3.4507042253521125,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004150852436233283,
+      "loss": 5.1844,
+      "mean_token_accuracy": 0.17338148206472398,
+      "num_tokens": 7584854.0,
+      "step": 4165
+    },
+    {
+      "entropy": 5.500524044036865,
+      "epoch": 3.4548467274233636,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004148350370994574,
+      "loss": 5.3142,
+      "mean_token_accuracy": 0.16781232208013536,
+      "num_tokens": 7594022.0,
+      "step": 4170
+    },
+    {
+      "entropy": 5.458495187759399,
+      "epoch": 3.4589892294946147,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004145845485130357,
+      "loss": 5.1757,
+      "mean_token_accuracy": 0.17461147904396057,
+      "num_tokens": 7603259.0,
+      "step": 4175
+    },
+    {
+      "entropy": 5.453242301940918,
+      "epoch": 3.463131731565866,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00041433377836932594,
+      "loss": 5.2853,
+      "mean_token_accuracy": 0.1680028423666954,
+      "num_tokens": 7613451.0,
+      "step": 4180
+    },
+    {
+      "entropy": 5.533868455886841,
+      "epoch": 3.467274233637117,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00041408272717415913,
+      "loss": 5.245,
+      "mean_token_accuracy": 0.17225596755743028,
+      "num_tokens": 7622218.0,
+      "step": 4185
+    },
+    {
+      "entropy": 5.351213121414185,
+      "epoch": 3.4714167357083676,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004138313954339327,
+      "loss": 5.104,
+      "mean_token_accuracy": 0.17463669180870056,
+      "num_tokens": 7630508.0,
+      "step": 4190
+    },
+    {
+      "entropy": 5.488496780395508,
+      "epoch": 3.4755592377796187,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004135797836556106,
+      "loss": 5.1982,
+      "mean_token_accuracy": 0.181541608273983,
+      "num_tokens": 7640141.0,
+      "step": 4195
+    },
+    {
+      "entropy": 5.459699392318726,
+      "epoch": 3.47970173985087,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041332789234672094,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1721531167626381,
+      "num_tokens": 7648764.0,
+      "step": 4200
+    },
+    {
+      "entropy": 5.406872129440307,
+      "epoch": 3.483844241922121,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004130757220153561,
+      "loss": 5.1952,
+      "mean_token_accuracy": 0.18173792064189911,
+      "num_tokens": 7658642.0,
+      "step": 4205
+    },
+    {
+      "entropy": 5.544135618209839,
+      "epoch": 3.487986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004128232731701712,
+      "loss": 5.377,
+      "mean_token_accuracy": 0.16519460082054138,
+      "num_tokens": 7667524.0,
+      "step": 4210
+    },
+    {
+      "entropy": 5.488169002532959,
+      "epoch": 3.492129246064623,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004125705463203833,
+      "loss": 5.1928,
+      "mean_token_accuracy": 0.18297115415334703,
+      "num_tokens": 7675800.0,
+      "step": 4215
+    },
+    {
+      "entropy": 5.490040969848633,
+      "epoch": 3.4962717481358743,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041231754197576986,
+      "loss": 5.2252,
+      "mean_token_accuracy": 0.1757526621222496,
+      "num_tokens": 7683742.0,
+      "step": 4220
+    },
+    {
+      "entropy": 5.468280076980591,
+      "epoch": 3.5004142502071254,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004120642606466685,
+      "loss": 5.2278,
+      "mean_token_accuracy": 0.1796238511800766,
+      "num_tokens": 7692379.0,
+      "step": 4225
+    },
+    {
+      "entropy": 5.494374942779541,
+      "epoch": 3.504556752278376,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004118107028439751,
+      "loss": 5.2138,
+      "mean_token_accuracy": 0.17588699012994766,
+      "num_tokens": 7702156.0,
+      "step": 4230
+    },
+    {
+      "entropy": 5.467664003372192,
+      "epoch": 3.508699254349627,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00041155686907914365,
+      "loss": 5.2275,
+      "mean_token_accuracy": 0.1754150867462158,
+      "num_tokens": 7712135.0,
+      "step": 4235
+    },
+    {
+      "entropy": 5.451332426071167,
+      "epoch": 3.5128417564208783,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004113027598641845,
+      "loss": 5.1785,
+      "mean_token_accuracy": 0.1752738744020462,
+      "num_tokens": 7721347.0,
+      "step": 4240
+    },
+    {
+      "entropy": 5.471200275421142,
+      "epoch": 3.5169842584921294,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004110483757116637,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.1789921909570694,
+      "num_tokens": 7731351.0,
+      "step": 4245
+    },
+    {
+      "entropy": 5.433224248886108,
+      "epoch": 3.52112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00041079371713470195,
+      "loss": 5.0996,
+      "mean_token_accuracy": 0.18778069019317628,
+      "num_tokens": 7740413.0,
+      "step": 4250
+    },
+    {
+      "entropy": 5.416608476638794,
+      "epoch": 3.525269262634631,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041053878464697343,
+      "loss": 5.1977,
+      "mean_token_accuracy": 0.18009850829839708,
+      "num_tokens": 7749319.0,
+      "step": 4255
+    },
+    {
+      "entropy": 5.519042015075684,
+      "epoch": 3.5294117647058822,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004102835787627047,
+      "loss": 5.2446,
+      "mean_token_accuracy": 0.17312991321086885,
+      "num_tokens": 7757936.0,
+      "step": 4260
+    },
+    {
+      "entropy": 5.542943048477173,
+      "epoch": 3.5335542667771334,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004100280999966741,
+      "loss": 5.3083,
+      "mean_token_accuracy": 0.17331433892250062,
+      "num_tokens": 7767349.0,
+      "step": 4265
+    },
+    {
+      "entropy": 5.4042651653289795,
+      "epoch": 3.5376967688483845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00040977234886421007,
+      "loss": 5.1133,
+      "mean_token_accuracy": 0.17731781899929047,
+      "num_tokens": 7776448.0,
+      "step": 4270
+    },
+    {
+      "entropy": 5.4222177028656,
+      "epoch": 3.5418392709196356,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040951632588119064,
+      "loss": 5.209,
+      "mean_token_accuracy": 0.17401482313871383,
+      "num_tokens": 7785768.0,
+      "step": 4275
+    },
+    {
+      "entropy": 5.600345802307129,
+      "epoch": 3.5459817729908867,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004092600315640422,
+      "loss": 5.2999,
+      "mean_token_accuracy": 0.1715576618909836,
+      "num_tokens": 7794803.0,
+      "step": 4280
+    },
+    {
+      "entropy": 5.411063814163208,
+      "epoch": 3.550124275062138,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004090034664297382,
+      "loss": 5.157,
+      "mean_token_accuracy": 0.17963247746229172,
+      "num_tokens": 7803533.0,
+      "step": 4285
+    },
+    {
+      "entropy": 5.421855831146241,
+      "epoch": 3.5542667771333885,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00040874663099579883,
+      "loss": 5.2246,
+      "mean_token_accuracy": 0.1706953912973404,
+      "num_tokens": 7812854.0,
+      "step": 4290
+    },
+    {
+      "entropy": 5.49954047203064,
+      "epoch": 3.5584092792046396,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040848952578028915,
+      "loss": 5.1628,
+      "mean_token_accuracy": 0.174958436191082,
+      "num_tokens": 7821683.0,
+      "step": 4295
+    },
+    {
+      "entropy": 5.501424264907837,
+      "epoch": 3.5625517812758907,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004082321513018183,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.18335361480712892,
+      "num_tokens": 7830967.0,
+      "step": 4300
+    },
+    {
+      "entropy": 5.48747296333313,
+      "epoch": 3.566694283347142,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00040797450807953897,
+      "loss": 5.2159,
+      "mean_token_accuracy": 0.17444179207086563,
+      "num_tokens": 7841179.0,
+      "step": 4305
+    },
+    {
+      "entropy": 5.489819192886353,
+      "epoch": 3.5708367854183924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004077165966331454,
+      "loss": 5.1587,
+      "mean_token_accuracy": 0.1852751389145851,
+      "num_tokens": 7849841.0,
+      "step": 4310
+    },
+    {
+      "entropy": 5.301797342300415,
+      "epoch": 3.5749792874896436,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004074584174828735,
+      "loss": 5.2184,
+      "mean_token_accuracy": 0.1747626096010208,
+      "num_tokens": 7859390.0,
+      "step": 4315
+    },
+    {
+      "entropy": 5.493851947784424,
+      "epoch": 3.5791217895608947,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040719997114949856,
+      "loss": 5.1913,
+      "mean_token_accuracy": 0.17565421015024185,
+      "num_tokens": 7868848.0,
+      "step": 4320
+    },
+    {
+      "entropy": 5.506833124160766,
+      "epoch": 3.5832642916321458,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040694125815433533,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.18058759868144988,
+      "num_tokens": 7877521.0,
+      "step": 4325
+    },
+    {
+      "entropy": 5.488465976715088,
+      "epoch": 3.587406793703397,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004066822790192359,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.17181889414787294,
+      "num_tokens": 7886355.0,
+      "step": 4330
+    },
+    {
+      "entropy": 5.437413024902344,
+      "epoch": 3.591549295774648,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00040642303426658967,
+      "loss": 5.2518,
+      "mean_token_accuracy": 0.17224401384592056,
+      "num_tokens": 7895028.0,
+      "step": 4335
+    },
+    {
+      "entropy": 5.379445266723633,
+      "epoch": 3.595691797845899,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040616352441932163,
+      "loss": 5.1282,
+      "mean_token_accuracy": 0.17695483118295668,
+      "num_tokens": 7904192.0,
+      "step": 4340
+    },
+    {
+      "entropy": 5.439553546905517,
+      "epoch": 3.59983429991715,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00040590375000089146,
+      "loss": 5.2066,
+      "mean_token_accuracy": 0.17032651007175445,
+      "num_tokens": 7912328.0,
+      "step": 4345
+    },
+    {
+      "entropy": 5.5121315002441404,
+      "epoch": 3.603976801988401,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00040564371153529256,
+      "loss": 5.2517,
+      "mean_token_accuracy": 0.1720314145088196,
+      "num_tokens": 7922594.0,
+      "step": 4350
+    },
+    {
+      "entropy": 5.450373315811158,
+      "epoch": 3.608119304059652,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004053834095470509,
+      "loss": 5.2201,
+      "mean_token_accuracy": 0.16222715824842454,
+      "num_tokens": 7932345.0,
+      "step": 4355
+    },
+    {
+      "entropy": 5.505369853973389,
+      "epoch": 3.612261806130903,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00040512284456122407,
+      "loss": 5.2236,
+      "mean_token_accuracy": 0.17660728394985198,
+      "num_tokens": 7942800.0,
+      "step": 4360
+    },
+    {
+      "entropy": 5.410261583328247,
+      "epoch": 3.616404308202154,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00040486201710340016,
+      "loss": 5.1287,
+      "mean_token_accuracy": 0.1859680861234665,
+      "num_tokens": 7951094.0,
+      "step": 4365
+    },
+    {
+      "entropy": 5.429905796051026,
+      "epoch": 3.6205468102734053,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040460092769969654,
+      "loss": 5.1947,
+      "mean_token_accuracy": 0.17089750617742538,
+      "num_tokens": 7960652.0,
+      "step": 4370
+    },
+    {
+      "entropy": 5.518308162689209,
+      "epoch": 3.624689312344656,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004043395768767592,
+      "loss": 5.2977,
+      "mean_token_accuracy": 0.16983983814716339,
+      "num_tokens": 7969350.0,
+      "step": 4375
+    },
+    {
+      "entropy": 5.475090789794922,
+      "epoch": 3.628831814415907,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004040779651617612,
+      "loss": 5.1831,
+      "mean_token_accuracy": 0.1762356474995613,
+      "num_tokens": 7978969.0,
+      "step": 4380
+    },
+    {
+      "entropy": 5.422111892700196,
+      "epoch": 3.632974316487158,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040381609308240207,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.1777448311448097,
+      "num_tokens": 7988531.0,
+      "step": 4385
+    },
+    {
+      "entropy": 5.423072242736817,
+      "epoch": 3.6371168185584093,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040355396116690634,
+      "loss": 5.1864,
+      "mean_token_accuracy": 0.17186058908700944,
+      "num_tokens": 7996576.0,
+      "step": 4390
+    },
+    {
+      "entropy": 5.435235500335693,
+      "epoch": 3.6412593206296604,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004032915699440227,
+      "loss": 5.2216,
+      "mean_token_accuracy": 0.17088689655065536,
+      "num_tokens": 8006279.0,
+      "step": 4395
+    },
+    {
+      "entropy": 5.496079921722412,
+      "epoch": 3.6454018227009115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000403028919943023,
+      "loss": 5.2049,
+      "mean_token_accuracy": 0.17314011603593826,
+      "num_tokens": 8015476.0,
+      "step": 4400
+    },
+    {
+      "entropy": 5.474205350875854,
+      "epoch": 3.6495443247721626,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004027660116937009,
+      "loss": 5.2326,
+      "mean_token_accuracy": 0.17077937126159667,
+      "num_tokens": 8025450.0,
+      "step": 4405
+    },
+    {
+      "entropy": 5.4402251720428465,
+      "epoch": 3.6536868268434133,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004025028457263712,
+      "loss": 5.2238,
+      "mean_token_accuracy": 0.17810273319482803,
+      "num_tokens": 8034850.0,
+      "step": 4410
+    },
+    {
+      "entropy": 5.3980237483978275,
+      "epoch": 3.6578293289146644,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004022394225718684,
+      "loss": 5.1709,
+      "mean_token_accuracy": 0.17368220686912536,
+      "num_tokens": 8044526.0,
+      "step": 4415
+    },
+    {
+      "entropy": 5.446775197982788,
+      "epoch": 3.6619718309859155,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004019757427615456,
+      "loss": 5.1341,
+      "mean_token_accuracy": 0.17317759096622468,
+      "num_tokens": 8054033.0,
+      "step": 4420
+    },
+    {
+      "entropy": 5.478370094299317,
+      "epoch": 3.6661143330571666,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0004017118068272739,
+      "loss": 5.2298,
+      "mean_token_accuracy": 0.17926038503646852,
+      "num_tokens": 8063535.0,
+      "step": 4425
+    },
+    {
+      "entropy": 5.495908880233765,
+      "epoch": 3.6702568351284177,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040144761530144096,
+      "loss": 5.2181,
+      "mean_token_accuracy": 0.18870080262422562,
+      "num_tokens": 8073079.0,
+      "step": 4430
+    },
+    {
+      "entropy": 5.367459678649903,
+      "epoch": 3.6743993371996684,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00040118316871695,
+      "loss": 5.1505,
+      "mean_token_accuracy": 0.18230827152729034,
+      "num_tokens": 8082925.0,
+      "step": 4435
+    },
+    {
+      "entropy": 5.457099437713623,
+      "epoch": 3.6785418392709195,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040091846760721857,
+      "loss": 5.2466,
+      "mean_token_accuracy": 0.17278454601764678,
+      "num_tokens": 8092038.0,
+      "step": 4440
+    },
+    {
+      "entropy": 5.460009002685547,
+      "epoch": 3.6826843413421706,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040065351250617774,
+      "loss": 5.2137,
+      "mean_token_accuracy": 0.1679331600666046,
+      "num_tokens": 8101581.0,
+      "step": 4445
+    },
+    {
+      "entropy": 5.392482471466065,
+      "epoch": 3.6868268434134217,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00040038830394827107,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.17032679468393325,
+      "num_tokens": 8111392.0,
+      "step": 4450
+    },
+    {
+      "entropy": 5.5369532108306885,
+      "epoch": 3.690969345484673,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000400122842468453,
+      "loss": 5.2742,
+      "mean_token_accuracy": 0.16916199624538422,
+      "num_tokens": 8120941.0,
+      "step": 4455
+    },
+    {
+      "entropy": 5.403111267089844,
+      "epoch": 3.695111847555924,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003998571286021884,
+      "loss": 5.1822,
+      "mean_token_accuracy": 0.1721450611948967,
+      "num_tokens": 8129983.0,
+      "step": 4460
+    },
+    {
+      "entropy": 5.482623481750489,
+      "epoch": 3.699254349627175,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003995911628854512,
+      "loss": 5.3064,
+      "mean_token_accuracy": 0.1740827202796936,
+      "num_tokens": 8139428.0,
+      "step": 4465
+    },
+    {
+      "entropy": 5.509563970565796,
+      "epoch": 3.7033968516984257,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003993249458547234,
+      "loss": 5.2302,
+      "mean_token_accuracy": 0.16980735808610917,
+      "num_tokens": 8148520.0,
+      "step": 4470
+    },
+    {
+      "entropy": 5.3746521949768065,
+      "epoch": 3.707539353769677,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039905847804699363,
+      "loss": 5.0676,
+      "mean_token_accuracy": 0.18766331672668457,
+      "num_tokens": 8156908.0,
+      "step": 4475
+    },
+    {
+      "entropy": 5.446433591842651,
+      "epoch": 3.711681855840928,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00039879175999975677,
+      "loss": 5.2156,
+      "mean_token_accuracy": 0.18001207262277602,
+      "num_tokens": 8165677.0,
+      "step": 4480
+    },
+    {
+      "entropy": 5.386814975738526,
+      "epoch": 3.715824357912179,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00039852479225101217,
+      "loss": 5.1883,
+      "mean_token_accuracy": 0.17356531620025634,
+      "num_tokens": 8174786.0,
+      "step": 4485
+    },
+    {
+      "entropy": 5.454575872421264,
+      "epoch": 3.71996685998343,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00039825757533926305,
+      "loss": 5.2484,
+      "mean_token_accuracy": 0.16340016275644303,
+      "num_tokens": 8184150.0,
+      "step": 4490
+    },
+    {
+      "entropy": 5.4400050163269045,
+      "epoch": 3.724109362054681,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039799010980351494,
+      "loss": 5.1455,
+      "mean_token_accuracy": 0.1879016414284706,
+      "num_tokens": 8192257.0,
+      "step": 4495
+    },
+    {
+      "entropy": 5.452324247360229,
+      "epoch": 3.728251864125932,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00039772239618327535,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.1748780906200409,
+      "num_tokens": 8201041.0,
+      "step": 4500
+    },
+    {
+      "epoch": 3.728251864125932,
+      "eval_entropy": 5.297962182620441,
+      "eval_loss": 5.854063987731934,
+      "eval_mean_token_accuracy": 0.15576711011085428,
+      "eval_num_tokens": 8201041.0,
+      "eval_runtime": 2.7449,
+      "eval_samples_per_second": 1365.057,
+      "eval_steps_per_second": 170.86,
+      "step": 4500
+    },
+    {
+      "entropy": 5.430630874633789,
+      "epoch": 3.732394366197183,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00039745443501855156,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18020173758268357,
+      "num_tokens": 8209881.0,
+      "step": 4505
+    },
+    {
+      "entropy": 5.426507759094238,
+      "epoch": 3.736536868268434,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039718622684985075,
+      "loss": 5.2198,
+      "mean_token_accuracy": 0.1857784554362297,
+      "num_tokens": 8218504.0,
+      "step": 4510
+    },
+    {
+      "entropy": 5.427436780929566,
+      "epoch": 3.7406793703396852,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000396917772218178,
+      "loss": 5.0397,
+      "mean_token_accuracy": 0.19483556151390075,
+      "num_tokens": 8226785.0,
+      "step": 4515
+    },
+    {
+      "entropy": 5.463036251068115,
+      "epoch": 3.7448218724109363,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0003966490716650357,
+      "loss": 5.1879,
+      "mean_token_accuracy": 0.1808652698993683,
+      "num_tokens": 8236092.0,
+      "step": 4520
+    },
+    {
+      "entropy": 5.398115777969361,
+      "epoch": 3.7489643744821874,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039638012573242225,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18426763266324997,
+      "num_tokens": 8245297.0,
+      "step": 4525
+    },
+    {
+      "entropy": 5.498414611816406,
+      "epoch": 3.7531068765534386,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003961109349628309,
+      "loss": 5.2544,
+      "mean_token_accuracy": 0.16994525790214537,
+      "num_tokens": 8254772.0,
+      "step": 4530
+    },
+    {
+      "entropy": 5.488787031173706,
+      "epoch": 3.757249378624689,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000395841499899249,
+      "loss": 5.3168,
+      "mean_token_accuracy": 0.1684611275792122,
+      "num_tokens": 8264310.0,
+      "step": 4535
+    },
+    {
+      "entropy": 5.4844201564788815,
+      "epoch": 3.7613918806959403,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00039557182108515624,
+      "loss": 5.2197,
+      "mean_token_accuracy": 0.1802253693342209,
+      "num_tokens": 8274184.0,
+      "step": 4540
+    },
+    {
+      "entropy": 5.40406289100647,
+      "epoch": 3.7655343827671914,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039530189906452457,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.18066346347332002,
+      "num_tokens": 8283151.0,
+      "step": 4545
+    },
+    {
+      "entropy": 5.490919494628907,
+      "epoch": 3.7696768848384425,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00039503173438181605,
+      "loss": 5.2375,
+      "mean_token_accuracy": 0.16958207488059998,
+      "num_tokens": 8292574.0,
+      "step": 4550
+    },
+    {
+      "entropy": 5.37688570022583,
+      "epoch": 3.773819386909693,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039476132758198236,
+      "loss": 5.1589,
+      "mean_token_accuracy": 0.17906700521707536,
+      "num_tokens": 8301281.0,
+      "step": 4555
+    },
+    {
+      "entropy": 5.404768991470337,
+      "epoch": 3.7779618889809443,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039449067921046353,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.184201979637146,
+      "num_tokens": 8310201.0,
+      "step": 4560
+    },
+    {
+      "entropy": 5.5153802871704105,
+      "epoch": 3.7821043910521954,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00039421978981318703,
+      "loss": 5.243,
+      "mean_token_accuracy": 0.17428653091192245,
+      "num_tokens": 8320369.0,
+      "step": 4565
+    },
+    {
+      "entropy": 5.490174674987793,
+      "epoch": 3.7862468931234465,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00039394865993656625,
+      "loss": 5.2332,
+      "mean_token_accuracy": 0.17829314470291138,
+      "num_tokens": 8329519.0,
+      "step": 4570
+    },
+    {
+      "entropy": 5.4183516025543215,
+      "epoch": 3.7903893951946976,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003936772901274999,
+      "loss": 5.2233,
+      "mean_token_accuracy": 0.16786337196826934,
+      "num_tokens": 8338282.0,
+      "step": 4575
+    },
+    {
+      "entropy": 5.422275066375732,
+      "epoch": 3.7945318972659487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003934056809333705,
+      "loss": 5.2367,
+      "mean_token_accuracy": 0.1760738953948021,
+      "num_tokens": 8346861.0,
+      "step": 4580
+    },
+    {
+      "entropy": 5.493864250183106,
+      "epoch": 3.7986743993372,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039313383290204333,
+      "loss": 5.2689,
+      "mean_token_accuracy": 0.16675272732973098,
+      "num_tokens": 8356078.0,
+      "step": 4585
+    },
+    {
+      "entropy": 5.449766826629639,
+      "epoch": 3.802816901408451,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003928617465818658,
+      "loss": 5.2279,
+      "mean_token_accuracy": 0.16728012412786483,
+      "num_tokens": 8365487.0,
+      "step": 4590
+    },
+    {
+      "entropy": 5.477828598022461,
+      "epoch": 3.8069594034797016,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00039258942252166554,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.17344195693731307,
+      "num_tokens": 8374622.0,
+      "step": 4595
+    },
+    {
+      "entropy": 5.467281007766724,
+      "epoch": 3.8111019055509527,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003923168612707502,
+      "loss": 5.1437,
+      "mean_token_accuracy": 0.1838704138994217,
+      "num_tokens": 8383312.0,
+      "step": 4600
+    },
+    {
+      "entropy": 5.375951862335205,
+      "epoch": 3.815244407622204,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003920440633789053,
+      "loss": 5.1668,
+      "mean_token_accuracy": 0.17426021844148637,
+      "num_tokens": 8391987.0,
+      "step": 4605
+    },
+    {
+      "entropy": 5.411648225784302,
+      "epoch": 3.819386909693455,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039177102939639424,
+      "loss": 5.1782,
+      "mean_token_accuracy": 0.17309755831956863,
+      "num_tokens": 8401263.0,
+      "step": 4610
+    },
+    {
+      "entropy": 5.520602798461914,
+      "epoch": 3.8235294117647056,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003914977598739563,
+      "loss": 5.1998,
+      "mean_token_accuracy": 0.18663258850574493,
+      "num_tokens": 8410110.0,
+      "step": 4615
+    },
+    {
+      "entropy": 5.505752420425415,
+      "epoch": 3.8276719138359567,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003912242553628059,
+      "loss": 5.2827,
+      "mean_token_accuracy": 0.16937017440795898,
+      "num_tokens": 8419321.0,
+      "step": 4620
+    },
+    {
+      "entropy": 5.470319938659668,
+      "epoch": 3.831814415907208,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003909505164146318,
+      "loss": 5.2512,
+      "mean_token_accuracy": 0.17635022550821305,
+      "num_tokens": 8428376.0,
+      "step": 4625
+    },
+    {
+      "entropy": 5.446829080581665,
+      "epoch": 3.835956917978459,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000390676543581595,
+      "loss": 5.1826,
+      "mean_token_accuracy": 0.1743323564529419,
+      "num_tokens": 8437263.0,
+      "step": 4630
+    },
+    {
+      "entropy": 5.361465311050415,
+      "epoch": 3.84009942004971,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003904023374163289,
+      "loss": 5.1943,
+      "mean_token_accuracy": 0.17949013262987137,
+      "num_tokens": 8445889.0,
+      "step": 4635
+    },
+    {
+      "entropy": 5.503735971450806,
+      "epoch": 3.844241922120961,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003901278984719372,
+      "loss": 5.3739,
+      "mean_token_accuracy": 0.16415481567382811,
+      "num_tokens": 8456086.0,
+      "step": 4640
+    },
+    {
+      "entropy": 5.492273569107056,
+      "epoch": 3.8483844241922123,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00038985322730199326,
+      "loss": 5.2018,
+      "mean_token_accuracy": 0.1795567825436592,
+      "num_tokens": 8465150.0,
+      "step": 4645
+    },
+    {
+      "entropy": 5.431647396087646,
+      "epoch": 3.8525269262634634,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003895783244605389,
+      "loss": 5.2783,
+      "mean_token_accuracy": 0.1720671087503433,
+      "num_tokens": 8474172.0,
+      "step": 4650
+    },
+    {
+      "entropy": 5.404905462265015,
+      "epoch": 3.856669428334714,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00038930319050208315,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.18708953112363816,
+      "num_tokens": 8483636.0,
+      "step": 4655
+    },
+    {
+      "entropy": 5.408392810821534,
+      "epoch": 3.860811930405965,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00038902782598160127,
+      "loss": 5.1091,
+      "mean_token_accuracy": 0.1881578117609024,
+      "num_tokens": 8491560.0,
+      "step": 4660
+    },
+    {
+      "entropy": 5.484521150588989,
+      "epoch": 3.8649544324772163,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00038875223145453346,
+      "loss": 5.4046,
+      "mean_token_accuracy": 0.17662398070096968,
+      "num_tokens": 8501685.0,
+      "step": 4665
+    },
+    {
+      "entropy": 5.551066589355469,
+      "epoch": 3.8690969345484674,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003884764074767842,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.17176942974328996,
+      "num_tokens": 8510580.0,
+      "step": 4670
+    },
+    {
+      "entropy": 5.477302551269531,
+      "epoch": 3.873239436619718,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003882003546047205,
+      "loss": 5.2013,
+      "mean_token_accuracy": 0.17522621154785156,
+      "num_tokens": 8519595.0,
+      "step": 4675
+    },
+    {
+      "entropy": 5.506098508834839,
+      "epoch": 3.877381938690969,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00038792407339517123,
+      "loss": 5.2786,
+      "mean_token_accuracy": 0.17400375306606292,
+      "num_tokens": 8529118.0,
+      "step": 4680
+    },
+    {
+      "entropy": 5.507658243179321,
+      "epoch": 3.8815244407622203,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00038764756440542574,
+      "loss": 5.2477,
+      "mean_token_accuracy": 0.17185091674327851,
+      "num_tokens": 8539322.0,
+      "step": 4685
+    },
+    {
+      "entropy": 5.454025650024414,
+      "epoch": 3.8856669428334714,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038737082819323285,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.17740404605865479,
+      "num_tokens": 8548707.0,
+      "step": 4690
+    },
+    {
+      "entropy": 5.427890157699585,
+      "epoch": 3.8898094449047225,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00038709386531679974,
+      "loss": 5.2576,
+      "mean_token_accuracy": 0.1718251511454582,
+      "num_tokens": 8557500.0,
+      "step": 4695
+    },
+    {
+      "entropy": 5.436252593994141,
+      "epoch": 3.8939519469759736,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00038681667633479086,
+      "loss": 5.2621,
+      "mean_token_accuracy": 0.1682343602180481,
+      "num_tokens": 8567465.0,
+      "step": 4700
+    },
+    {
+      "entropy": 5.381856250762939,
+      "epoch": 3.8980944490472247,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038653926180632665,
+      "loss": 5.1165,
+      "mean_token_accuracy": 0.18321423530578612,
+      "num_tokens": 8576680.0,
+      "step": 4705
+    },
+    {
+      "entropy": 5.495894527435302,
+      "epoch": 3.902236951118476,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00038626162229098257,
+      "loss": 5.2631,
+      "mean_token_accuracy": 0.16617788672447203,
+      "num_tokens": 8585539.0,
+      "step": 4710
+    },
+    {
+      "entropy": 5.400326347351074,
+      "epoch": 3.9063794531897265,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003859837583487877,
+      "loss": 5.1007,
+      "mean_token_accuracy": 0.18613590002059938,
+      "num_tokens": 8593598.0,
+      "step": 4715
+    },
+    {
+      "entropy": 5.4148589134216305,
+      "epoch": 3.9105219552609776,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003857056705402241,
+      "loss": 5.236,
+      "mean_token_accuracy": 0.1721765860915184,
+      "num_tokens": 8603440.0,
+      "step": 4720
+    },
+    {
+      "entropy": 5.384281969070434,
+      "epoch": 3.9146644573322287,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003854273594262253,
+      "loss": 5.0591,
+      "mean_token_accuracy": 0.1858549162745476,
+      "num_tokens": 8612490.0,
+      "step": 4725
+    },
+    {
+      "entropy": 5.387153816223145,
+      "epoch": 3.91880695940348,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003851488255681752,
+      "loss": 5.1508,
+      "mean_token_accuracy": 0.17980385273694993,
+      "num_tokens": 8621994.0,
+      "step": 4730
+    },
+    {
+      "entropy": 5.462166833877563,
+      "epoch": 3.922949461474731,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000384870069527907,
+      "loss": 5.2269,
+      "mean_token_accuracy": 0.16994049549102783,
+      "num_tokens": 8631185.0,
+      "step": 4735
+    },
+    {
+      "entropy": 5.445327711105347,
+      "epoch": 3.9270919635459816,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00038459109186770213,
+      "loss": 5.1201,
+      "mean_token_accuracy": 0.18937034606933595,
+      "num_tokens": 8639018.0,
+      "step": 4740
+    },
+    {
+      "entropy": 5.365725660324097,
+      "epoch": 3.9312344656172327,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00038431189315028905,
+      "loss": 5.1293,
+      "mean_token_accuracy": 0.1805494785308838,
+      "num_tokens": 8647672.0,
+      "step": 4745
+    },
+    {
+      "entropy": 5.42286114692688,
+      "epoch": 3.9353769676884838,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003840324739388419,
+      "loss": 5.2659,
+      "mean_token_accuracy": 0.16662627309560776,
+      "num_tokens": 8656638.0,
+      "step": 4750
+    },
+    {
+      "entropy": 5.4803203582763675,
+      "epoch": 3.939519469759735,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00038375283479698,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.18231208473443986,
+      "num_tokens": 8666167.0,
+      "step": 4755
+    },
+    {
+      "entropy": 5.505121231079102,
+      "epoch": 3.943661971830986,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003834729762887659,
+      "loss": 5.3067,
+      "mean_token_accuracy": 0.16447765678167342,
+      "num_tokens": 8676435.0,
+      "step": 4760
+    },
+    {
+      "entropy": 5.413615751266479,
+      "epoch": 3.947804473902237,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003831928989787049,
+      "loss": 5.1808,
+      "mean_token_accuracy": 0.18012969940900803,
+      "num_tokens": 8686011.0,
+      "step": 4765
+    },
+    {
+      "entropy": 5.463970613479614,
+      "epoch": 3.951946975973488,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003829126034317435,
+      "loss": 5.1959,
+      "mean_token_accuracy": 0.17213619947433473,
+      "num_tokens": 8695063.0,
+      "step": 4770
+    },
+    {
+      "entropy": 5.517300796508789,
+      "epoch": 3.956089478044739,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003826320902132684,
+      "loss": 5.299,
+      "mean_token_accuracy": 0.16880902647972107,
+      "num_tokens": 8704585.0,
+      "step": 4775
+    },
+    {
+      "entropy": 5.469470262527466,
+      "epoch": 3.96023198011599,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038235135988910545,
+      "loss": 5.2111,
+      "mean_token_accuracy": 0.17501715570688248,
+      "num_tokens": 8714097.0,
+      "step": 4780
+    },
+    {
+      "entropy": 5.433980226516724,
+      "epoch": 3.964374482187241,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00038207041302551844,
+      "loss": 5.1327,
+      "mean_token_accuracy": 0.1802523225545883,
+      "num_tokens": 8722890.0,
+      "step": 4785
+    },
+    {
+      "entropy": 5.36038613319397,
+      "epoch": 3.968516984258492,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003817892501892078,
+      "loss": 5.1474,
+      "mean_token_accuracy": 0.18226009160280227,
+      "num_tokens": 8732046.0,
+      "step": 4790
+    },
+    {
+      "entropy": 5.385818529129028,
+      "epoch": 3.9726594863297433,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038150787194730977,
+      "loss": 5.1867,
+      "mean_token_accuracy": 0.18098812699317932,
+      "num_tokens": 8741750.0,
+      "step": 4795
+    },
+    {
+      "entropy": 5.49769434928894,
+      "epoch": 3.976801988400994,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000381226278867395,
+      "loss": 5.1585,
+      "mean_token_accuracy": 0.17722393125295638,
+      "num_tokens": 8750141.0,
+      "step": 4800
+    },
+    {
+      "entropy": 5.3994584560394285,
+      "epoch": 3.980944490472245,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00038094447151746746,
+      "loss": 5.0956,
+      "mean_token_accuracy": 0.18723244071006775,
+      "num_tokens": 8758567.0,
+      "step": 4805
+    },
+    {
+      "entropy": 5.376461982727051,
+      "epoch": 3.985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003806624504659635,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1782562255859375,
+      "num_tokens": 8767829.0,
+      "step": 4810
+    },
+    {
+      "entropy": 5.416551733016968,
+      "epoch": 3.9892294946147473,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003803802162817503,
+      "loss": 5.0891,
+      "mean_token_accuracy": 0.18413031548261644,
+      "num_tokens": 8776911.0,
+      "step": 4815
+    },
+    {
+      "entropy": 5.403548002243042,
+      "epoch": 3.9933719966859984,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000380097769534125,
+      "loss": 5.2011,
+      "mean_token_accuracy": 0.18309975266456605,
+      "num_tokens": 8786117.0,
+      "step": 4820
+    },
+    {
+      "entropy": 5.401311016082763,
+      "epoch": 3.9975144987572495,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003798151107928136,
+      "loss": 5.1436,
+      "mean_token_accuracy": 0.18381998240947722,
+      "num_tokens": 8795647.0,
+      "step": 4825
+    },
+    {
+      "entropy": 5.363515567779541,
+      "epoch": 4.001657000828501,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00037953224062796967,
+      "loss": 5.1114,
+      "mean_token_accuracy": 0.18405449539422988,
+      "num_tokens": 8803480.0,
+      "step": 4830
+    },
+    {
+      "entropy": 5.504069137573242,
+      "epoch": 4.005799502899752,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003792491596101733,
+      "loss": 4.9454,
+      "mean_token_accuracy": 0.19255731254816055,
+      "num_tokens": 8812825.0,
+      "step": 4835
+    },
+    {
+      "entropy": 5.45196304321289,
+      "epoch": 4.009942004971003,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003789658683104298,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19097152799367906,
+      "num_tokens": 8821911.0,
+      "step": 4840
+    },
+    {
+      "entropy": 5.429521989822388,
+      "epoch": 4.014084507042254,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037868236730016866,
+      "loss": 4.9518,
+      "mean_token_accuracy": 0.18948255032300948,
+      "num_tokens": 8830691.0,
+      "step": 4845
+    },
+    {
+      "entropy": 5.400455188751221,
+      "epoch": 4.018227009113504,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037839865715124234,
+      "loss": 4.9281,
+      "mean_token_accuracy": 0.19010053426027299,
+      "num_tokens": 8840410.0,
+      "step": 4850
+    },
+    {
+      "entropy": 5.374143838882446,
+      "epoch": 4.022369511184755,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00037811473843592534,
+      "loss": 4.9042,
+      "mean_token_accuracy": 0.19410175532102586,
+      "num_tokens": 8849662.0,
+      "step": 4855
+    },
+    {
+      "entropy": 5.4465690612792965,
+      "epoch": 4.026512013256006,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00037783061172691273,
+      "loss": 4.8985,
+      "mean_token_accuracy": 0.19412659406661986,
+      "num_tokens": 8858666.0,
+      "step": 4860
+    },
+    {
+      "entropy": 5.497456216812134,
+      "epoch": 4.0306545153272575,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003775462775973191,
+      "loss": 4.9611,
+      "mean_token_accuracy": 0.1847592905163765,
+      "num_tokens": 8867885.0,
+      "step": 4865
+    },
+    {
+      "entropy": 5.351856470108032,
+      "epoch": 4.034797017398509,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003772617366206773,
+      "loss": 4.9175,
+      "mean_token_accuracy": 0.19424951672554017,
+      "num_tokens": 8877458.0,
+      "step": 4870
+    },
+    {
+      "entropy": 5.363556432723999,
+      "epoch": 4.03893951946976,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037697698937093783,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.18704084753990174,
+      "num_tokens": 8886995.0,
+      "step": 4875
+    },
+    {
+      "entropy": 5.463095617294312,
+      "epoch": 4.043082021541011,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00037669203642246685,
+      "loss": 5.026,
+      "mean_token_accuracy": 0.18413490056991577,
+      "num_tokens": 8895224.0,
+      "step": 4880
+    },
+    {
+      "entropy": 5.4529016494750975,
+      "epoch": 4.047224523612262,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00037640687835004567,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.1925043895840645,
+      "num_tokens": 8905216.0,
+      "step": 4885
+    },
+    {
+      "entropy": 5.426698875427246,
+      "epoch": 4.051367025683513,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003761215157288692,
+      "loss": 4.9558,
+      "mean_token_accuracy": 0.19299548715353013,
+      "num_tokens": 8915493.0,
+      "step": 4890
+    },
+    {
+      "entropy": 5.362393617630005,
+      "epoch": 4.055509527754764,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00037583594913454514,
+      "loss": 4.925,
+      "mean_token_accuracy": 0.1959809884428978,
+      "num_tokens": 8924740.0,
+      "step": 4895
+    },
+    {
+      "entropy": 5.42564959526062,
+      "epoch": 4.059652029826015,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003755501791430925,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.18527257889509202,
+      "num_tokens": 8934726.0,
+      "step": 4900
+    },
+    {
+      "entropy": 5.448423719406128,
+      "epoch": 4.063794531897266,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00037526420633094044,
+      "loss": 4.9581,
+      "mean_token_accuracy": 0.18748125433921814,
+      "num_tokens": 8944301.0,
+      "step": 4905
+    },
+    {
+      "entropy": 5.449982643127441,
+      "epoch": 4.067937033968517,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037497803127492757,
+      "loss": 4.9881,
+      "mean_token_accuracy": 0.19187170565128325,
+      "num_tokens": 8953967.0,
+      "step": 4910
+    },
+    {
+      "entropy": 5.326543855667114,
+      "epoch": 4.072079536039768,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003746916545523001,
+      "loss": 4.8948,
+      "mean_token_accuracy": 0.19177066087722777,
+      "num_tokens": 8962983.0,
+      "step": 4915
+    },
+    {
+      "entropy": 5.381871175765991,
+      "epoch": 4.076222038111019,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003744050767407113,
+      "loss": 5.0191,
+      "mean_token_accuracy": 0.18154184073209761,
+      "num_tokens": 8972019.0,
+      "step": 4920
+    },
+    {
+      "entropy": 5.40556058883667,
+      "epoch": 4.08036454018227,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0003741182984182198,
+      "loss": 4.901,
+      "mean_token_accuracy": 0.20234887301921844,
+      "num_tokens": 8981751.0,
+      "step": 4925
+    },
+    {
+      "entropy": 5.3616517066955565,
+      "epoch": 4.084507042253521,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003738313201632889,
+      "loss": 4.8923,
+      "mean_token_accuracy": 0.19780989587306977,
+      "num_tokens": 8990330.0,
+      "step": 4930
+    },
+    {
+      "entropy": 5.314311408996582,
+      "epoch": 4.088649544324772,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003735441425547851,
+      "loss": 4.905,
+      "mean_token_accuracy": 0.19072338491678237,
+      "num_tokens": 8998366.0,
+      "step": 4935
+    },
+    {
+      "entropy": 5.290538501739502,
+      "epoch": 4.092792046396023,
+      "grad_norm": 1.828125,
+      "learning_rate": 0.00037325676617197697,
+      "loss": 4.8317,
+      "mean_token_accuracy": 0.20186650305986403,
+      "num_tokens": 9006881.0,
+      "step": 4940
+    },
+    {
+      "entropy": 5.323595571517944,
+      "epoch": 4.096934548467274,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0003729691915945342,
+      "loss": 4.8944,
+      "mean_token_accuracy": 0.19853760153055192,
+      "num_tokens": 9015415.0,
+      "step": 4945
+    },
+    {
+      "entropy": 5.40374059677124,
+      "epoch": 4.1010770505385254,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000372681419402526,
+      "loss": 4.9483,
+      "mean_token_accuracy": 0.19546929001808167,
+      "num_tokens": 9024578.0,
+      "step": 4950
+    },
+    {
+      "entropy": 5.381409311294556,
+      "epoch": 4.105219552609777,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003723934501764203,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.1867024227976799,
+      "num_tokens": 9032637.0,
+      "step": 4955
+    },
+    {
+      "entropy": 5.395318984985352,
+      "epoch": 4.109362054681028,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0003721052844970826,
+      "loss": 4.8913,
+      "mean_token_accuracy": 0.18718749284744263,
+      "num_tokens": 9041513.0,
+      "step": 4960
+    },
+    {
+      "entropy": 5.394489192962647,
+      "epoch": 4.113504556752279,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00037181692294577457,
+      "loss": 4.9155,
+      "mean_token_accuracy": 0.1854037255048752,
+      "num_tokens": 9051024.0,
+      "step": 4965
+    },
+    {
+      "entropy": 5.33848295211792,
+      "epoch": 4.117647058823529,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037152836610415284,
+      "loss": 4.8895,
+      "mean_token_accuracy": 0.19274405539035797,
+      "num_tokens": 9059494.0,
+      "step": 4970
+    },
+    {
+      "entropy": 5.31979193687439,
+      "epoch": 4.12178956089478,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00037123961455426836,
+      "loss": 4.7988,
+      "mean_token_accuracy": 0.19865831583738328,
+      "num_tokens": 9068166.0,
+      "step": 4975
+    },
+    {
+      "entropy": 5.391095542907715,
+      "epoch": 4.125932062966031,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00037095066887856434,
+      "loss": 4.907,
+      "mean_token_accuracy": 0.19333944320678711,
+      "num_tokens": 9077283.0,
+      "step": 4980
+    },
+    {
+      "entropy": 5.3755443572998045,
+      "epoch": 4.130074565037282,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003706615296598758,
+      "loss": 4.9332,
+      "mean_token_accuracy": 0.19493403136730195,
+      "num_tokens": 9086605.0,
+      "step": 4985
+    },
+    {
+      "entropy": 5.301020622253418,
+      "epoch": 4.134217067108533,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003703721974814282,
+      "loss": 4.9169,
+      "mean_token_accuracy": 0.19399153292179108,
+      "num_tokens": 9095567.0,
+      "step": 4990
+    },
+    {
+      "entropy": 5.282594537734985,
+      "epoch": 4.1383595691797845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00037008267292683615,
+      "loss": 4.9012,
+      "mean_token_accuracy": 0.19265301078557967,
+      "num_tokens": 9104457.0,
+      "step": 4995
+    },
+    {
+      "entropy": 5.398877716064453,
+      "epoch": 4.142502071251036,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036979295658010227,
+      "loss": 4.9533,
+      "mean_token_accuracy": 0.20162091553211212,
+      "num_tokens": 9113945.0,
+      "step": 5000
+    },
+    {
+      "epoch": 4.142502071251036,
+      "eval_entropy": 5.273210916946184,
+      "eval_loss": 5.83656120300293,
+      "eval_mean_token_accuracy": 0.15772452866281272,
+      "eval_num_tokens": 9113945.0,
+      "eval_runtime": 2.9415,
+      "eval_samples_per_second": 1273.844,
+      "eval_steps_per_second": 159.443,
+      "step": 5000
+    },
+    {
+      "entropy": 5.424594402313232,
+      "epoch": 4.146644573322287,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003695030490256161,
+      "loss": 5.0303,
+      "mean_token_accuracy": 0.18944208920001984,
+      "num_tokens": 9122996.0,
+      "step": 5005
+    },
+    {
+      "entropy": 5.355675983428955,
+      "epoch": 4.150787075393538,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000369212950848153,
+      "loss": 4.8793,
+      "mean_token_accuracy": 0.1962927296757698,
+      "num_tokens": 9132079.0,
+      "step": 5010
+    },
+    {
+      "entropy": 5.384340238571167,
+      "epoch": 4.154929577464789,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003689226626328725,
+      "loss": 5.0058,
+      "mean_token_accuracy": 0.19004727751016617,
+      "num_tokens": 9141335.0,
+      "step": 5015
+    },
+    {
+      "entropy": 5.442283582687378,
+      "epoch": 4.15907207953604,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00036863218496531767,
+      "loss": 5.0264,
+      "mean_token_accuracy": 0.18990386426448821,
+      "num_tokens": 9150049.0,
+      "step": 5020
+    },
+    {
+      "entropy": 5.409811115264892,
+      "epoch": 4.163214581607291,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003683415184314139,
+      "loss": 4.9057,
+      "mean_token_accuracy": 0.19072521328926087,
+      "num_tokens": 9159245.0,
+      "step": 5025
+    },
+    {
+      "entropy": 5.281745195388794,
+      "epoch": 4.167357083678542,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00036805066361746716,
+      "loss": 4.9432,
+      "mean_token_accuracy": 0.19057238101959229,
+      "num_tokens": 9167892.0,
+      "step": 5030
+    },
+    {
+      "entropy": 5.262811374664307,
+      "epoch": 4.1714995857497925,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036775962111016346,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.19675376862287522,
+      "num_tokens": 9176067.0,
+      "step": 5035
+    },
+    {
+      "entropy": 5.335107898712158,
+      "epoch": 4.175642087821044,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036746839149656734,
+      "loss": 4.9032,
+      "mean_token_accuracy": 0.19636716991662978,
+      "num_tokens": 9185318.0,
+      "step": 5040
+    },
+    {
+      "entropy": 5.338614749908447,
+      "epoch": 4.179784589892295,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003671769753641207,
+      "loss": 4.9605,
+      "mean_token_accuracy": 0.19530149400234223,
+      "num_tokens": 9194885.0,
+      "step": 5045
+    },
+    {
+      "entropy": 5.349650192260742,
+      "epoch": 4.183927091963546,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00036688537330064187,
+      "loss": 4.987,
+      "mean_token_accuracy": 0.19436514377593994,
+      "num_tokens": 9203906.0,
+      "step": 5050
+    },
+    {
+      "entropy": 5.318757629394531,
+      "epoch": 4.188069594034797,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000366593585894324,
+      "loss": 4.8507,
+      "mean_token_accuracy": 0.2013680413365364,
+      "num_tokens": 9213351.0,
+      "step": 5055
+    },
+    {
+      "entropy": 5.347932624816894,
+      "epoch": 4.192212096106048,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003663016137337341,
+      "loss": 4.9278,
+      "mean_token_accuracy": 0.18784158080816268,
+      "num_tokens": 9222191.0,
+      "step": 5060
+    },
+    {
+      "entropy": 5.372864198684693,
+      "epoch": 4.196354598177299,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00036600945740781197,
+      "loss": 4.9668,
+      "mean_token_accuracy": 0.1919815331697464,
+      "num_tokens": 9231517.0,
+      "step": 5065
+    },
+    {
+      "entropy": 5.393643712997436,
+      "epoch": 4.20049710024855,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036571711750586896,
+      "loss": 4.9891,
+      "mean_token_accuracy": 0.19960682690143586,
+      "num_tokens": 9241208.0,
+      "step": 5070
+    },
+    {
+      "entropy": 5.391959381103516,
+      "epoch": 4.204639602319801,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003654245946175864,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19324131309986115,
+      "num_tokens": 9250237.0,
+      "step": 5075
+    },
+    {
+      "entropy": 5.37893590927124,
+      "epoch": 4.2087821043910525,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00036513188933301504,
+      "loss": 5.0399,
+      "mean_token_accuracy": 0.18783097416162492,
+      "num_tokens": 9260273.0,
+      "step": 5080
+    },
+    {
+      "entropy": 5.378773164749146,
+      "epoch": 4.212924606462304,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003648390022425734,
+      "loss": 4.8996,
+      "mean_token_accuracy": 0.19140231609344482,
+      "num_tokens": 9268878.0,
+      "step": 5085
+    },
+    {
+      "entropy": 5.325588417053223,
+      "epoch": 4.217067108533554,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003645459339370468,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19706592857837676,
+      "num_tokens": 9276324.0,
+      "step": 5090
+    },
+    {
+      "entropy": 5.312953901290894,
+      "epoch": 4.221209610604805,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036425268500758594,
+      "loss": 4.9725,
+      "mean_token_accuracy": 0.1936806783080101,
+      "num_tokens": 9285052.0,
+      "step": 5095
+    },
+    {
+      "entropy": 5.354986000061035,
+      "epoch": 4.225352112676056,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036395925604570614,
+      "loss": 4.8763,
+      "mean_token_accuracy": 0.20042537599802018,
+      "num_tokens": 9293324.0,
+      "step": 5100
+    },
+    {
+      "entropy": 5.3900477409362795,
+      "epoch": 4.229494614747307,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003636656476432854,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19263672083616257,
+      "num_tokens": 9302131.0,
+      "step": 5105
+    },
+    {
+      "entropy": 5.263408470153808,
+      "epoch": 4.233637116818558,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003633718603925642,
+      "loss": 4.862,
+      "mean_token_accuracy": 0.19388986378908157,
+      "num_tokens": 9311128.0,
+      "step": 5110
+    },
+    {
+      "entropy": 5.420498418807983,
+      "epoch": 4.237779618889809,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0003630778948861434,
+      "loss": 4.9352,
+      "mean_token_accuracy": 0.1895424723625183,
+      "num_tokens": 9319849.0,
+      "step": 5115
+    },
+    {
+      "entropy": 5.336805248260498,
+      "epoch": 4.2419221209610605,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003627837517169836,
+      "loss": 4.9458,
+      "mean_token_accuracy": 0.18560263216495515,
+      "num_tokens": 9328355.0,
+      "step": 5120
+    },
+    {
+      "entropy": 5.352609777450562,
+      "epoch": 4.246064623032312,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003624894314784037,
+      "loss": 4.9236,
+      "mean_token_accuracy": 0.18928787410259246,
+      "num_tokens": 9337562.0,
+      "step": 5125
+    },
+    {
+      "entropy": 5.323793935775757,
+      "epoch": 4.250207125103563,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003621949347640797,
+      "loss": 4.9315,
+      "mean_token_accuracy": 0.196185165643692,
+      "num_tokens": 9347851.0,
+      "step": 5130
+    },
+    {
+      "entropy": 5.398552274703979,
+      "epoch": 4.254349627174814,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003619002621680439,
+      "loss": 4.9325,
+      "mean_token_accuracy": 0.19673411697149276,
+      "num_tokens": 9356524.0,
+      "step": 5135
+    },
+    {
+      "entropy": 5.4241108894348145,
+      "epoch": 4.258492129246065,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003616054142846829,
+      "loss": 5.0307,
+      "mean_token_accuracy": 0.1882170706987381,
+      "num_tokens": 9365521.0,
+      "step": 5140
+    },
+    {
+      "entropy": 5.301144218444824,
+      "epoch": 4.262634631317316,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003613103917087371,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19470559656620026,
+      "num_tokens": 9374088.0,
+      "step": 5145
+    },
+    {
+      "entropy": 5.345515966415405,
+      "epoch": 4.266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003610151950352994,
+      "loss": 4.9794,
+      "mean_token_accuracy": 0.19499585926532745,
+      "num_tokens": 9382683.0,
+      "step": 5150
+    },
+    {
+      "entropy": 5.306409788131714,
+      "epoch": 4.270919635459817,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0003607198248598137,
+      "loss": 4.9063,
+      "mean_token_accuracy": 0.194849793612957,
+      "num_tokens": 9391790.0,
+      "step": 5155
+    },
+    {
+      "entropy": 5.414876556396484,
+      "epoch": 4.2750621375310685,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003604242817780739,
+      "loss": 4.9901,
+      "mean_token_accuracy": 0.19321189671754838,
+      "num_tokens": 9400234.0,
+      "step": 5160
+    },
+    {
+      "entropy": 5.350374364852906,
+      "epoch": 4.27920463960232,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036012856638622273,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19192621409893035,
+      "num_tokens": 9409513.0,
+      "step": 5165
+    },
+    {
+      "entropy": 5.292260932922363,
+      "epoch": 4.283347141673571,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003598326792807504,
+      "loss": 4.9821,
+      "mean_token_accuracy": 0.18258902430534363,
+      "num_tokens": 9418608.0,
+      "step": 5170
+    },
+    {
+      "entropy": 5.427756977081299,
+      "epoch": 4.287489643744822,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00035953662105849357,
+      "loss": 5.0092,
+      "mean_token_accuracy": 0.19452760964632035,
+      "num_tokens": 9428705.0,
+      "step": 5175
+    },
+    {
+      "entropy": 5.3185462474823,
+      "epoch": 4.291632145816073,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000359240392316634,
+      "loss": 4.9177,
+      "mean_token_accuracy": 0.18542011678218842,
+      "num_tokens": 9438149.0,
+      "step": 5180
+    },
+    {
+      "entropy": 5.330511379241943,
+      "epoch": 4.295774647887324,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003589439936526974,
+      "loss": 4.8709,
+      "mean_token_accuracy": 0.19628295600414275,
+      "num_tokens": 9447566.0,
+      "step": 5185
+    },
+    {
+      "entropy": 5.303903436660766,
+      "epoch": 4.299917149958575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003586474256645525,
+      "loss": 4.9641,
+      "mean_token_accuracy": 0.1915314257144928,
+      "num_tokens": 9458156.0,
+      "step": 5190
+    },
+    {
+      "entropy": 5.410308837890625,
+      "epoch": 4.304059652029826,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035835068895040905,
+      "loss": 5.0014,
+      "mean_token_accuracy": 0.19137390553951264,
+      "num_tokens": 9467388.0,
+      "step": 5195
+    },
+    {
+      "entropy": 5.388073253631592,
+      "epoch": 4.308202154101077,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00035805378410881753,
+      "loss": 4.9642,
+      "mean_token_accuracy": 0.1940509021282196,
+      "num_tokens": 9477515.0,
+      "step": 5200
+    },
+    {
+      "entropy": 5.389194107055664,
+      "epoch": 4.312344656172328,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003577567117386675,
+      "loss": 4.9854,
+      "mean_token_accuracy": 0.1937498316168785,
+      "num_tokens": 9485851.0,
+      "step": 5205
+    },
+    {
+      "entropy": 5.377271747589111,
+      "epoch": 4.3164871582435795,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003574594724391863,
+      "loss": 4.9773,
+      "mean_token_accuracy": 0.18631901144981383,
+      "num_tokens": 9495523.0,
+      "step": 5210
+    },
+    {
+      "entropy": 5.303675985336303,
+      "epoch": 4.32062966031483,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003571620668099382,
+      "loss": 4.9104,
+      "mean_token_accuracy": 0.19740363359451293,
+      "num_tokens": 9504195.0,
+      "step": 5215
+    },
+    {
+      "entropy": 5.377063655853272,
+      "epoch": 4.324772162386081,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003568644954508227,
+      "loss": 4.9616,
+      "mean_token_accuracy": 0.1940310388803482,
+      "num_tokens": 9513313.0,
+      "step": 5220
+    },
+    {
+      "entropy": 5.400073862075805,
+      "epoch": 4.328914664457332,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003565667589620739,
+      "loss": 5.0313,
+      "mean_token_accuracy": 0.18615816980600358,
+      "num_tokens": 9522387.0,
+      "step": 5225
+    },
+    {
+      "entropy": 5.380652332305909,
+      "epoch": 4.333057166528583,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003562688579442588,
+      "loss": 4.9582,
+      "mean_token_accuracy": 0.1893748164176941,
+      "num_tokens": 9531522.0,
+      "step": 5230
+    },
+    {
+      "entropy": 5.349949216842651,
+      "epoch": 4.337199668599834,
+      "grad_norm": 1.6171875,
+      "learning_rate": 0.00035597079299827625,
+      "loss": 4.9875,
+      "mean_token_accuracy": 0.18508986830711366,
+      "num_tokens": 9540248.0,
+      "step": 5235
+    },
+    {
+      "entropy": 5.3083008289337155,
+      "epoch": 4.341342170671085,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035567256472535585,
+      "loss": 4.9192,
+      "mean_token_accuracy": 0.19538334757089615,
+      "num_tokens": 9549850.0,
+      "step": 5240
+    },
+    {
+      "entropy": 5.325525283813477,
+      "epoch": 4.345484672742336,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003553741737270566,
+      "loss": 4.9167,
+      "mean_token_accuracy": 0.19581695050001144,
+      "num_tokens": 9558929.0,
+      "step": 5245
+    },
+    {
+      "entropy": 5.291470670700074,
+      "epoch": 4.3496271748135875,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00035507562060526574,
+      "loss": 4.9163,
+      "mean_token_accuracy": 0.19085376411676408,
+      "num_tokens": 9567627.0,
+      "step": 5250
+    },
+    {
+      "entropy": 5.419774055480957,
+      "epoch": 4.353769676884839,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035477690596219763,
+      "loss": 5.0513,
+      "mean_token_accuracy": 0.18172826021909713,
+      "num_tokens": 9576223.0,
+      "step": 5255
+    },
+    {
+      "entropy": 5.422041416168213,
+      "epoch": 4.35791217895609,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00035447803040039225,
+      "loss": 5.0178,
+      "mean_token_accuracy": 0.1885324940085411,
+      "num_tokens": 9585510.0,
+      "step": 5260
+    },
+    {
+      "entropy": 5.344962453842163,
+      "epoch": 4.362054681027341,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003541789945227143,
+      "loss": 4.9361,
+      "mean_token_accuracy": 0.1920488640666008,
+      "num_tokens": 9594843.0,
+      "step": 5265
+    },
+    {
+      "entropy": 5.401527786254883,
+      "epoch": 4.366197183098592,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00035387979893235184,
+      "loss": 4.9467,
+      "mean_token_accuracy": 0.19816664457321168,
+      "num_tokens": 9604142.0,
+      "step": 5270
+    },
+    {
+      "entropy": 5.339557313919068,
+      "epoch": 4.370339685169842,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003535804442328151,
+      "loss": 4.994,
+      "mean_token_accuracy": 0.197935588657856,
+      "num_tokens": 9613669.0,
+      "step": 5275
+    },
+    {
+      "entropy": 5.395236444473267,
+      "epoch": 4.374482187241093,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00035328093102793506,
+      "loss": 4.9843,
+      "mean_token_accuracy": 0.19234263002872468,
+      "num_tokens": 9623502.0,
+      "step": 5280
+    },
+    {
+      "entropy": 5.377492380142212,
+      "epoch": 4.378624689312344,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035298125992186283,
+      "loss": 4.9784,
+      "mean_token_accuracy": 0.1910512089729309,
+      "num_tokens": 9632041.0,
+      "step": 5285
+    },
+    {
+      "entropy": 5.310422706604004,
+      "epoch": 4.3827671913835955,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00035268143151906764,
+      "loss": 4.9853,
+      "mean_token_accuracy": 0.18939480930566788,
+      "num_tokens": 9641442.0,
+      "step": 5290
+    },
+    {
+      "entropy": 5.356794643402099,
+      "epoch": 4.386909693454847,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00035238144642433616,
+      "loss": 4.956,
+      "mean_token_accuracy": 0.19045386761426925,
+      "num_tokens": 9650857.0,
+      "step": 5295
+    },
+    {
+      "entropy": 5.461606073379516,
+      "epoch": 4.391052195526098,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000352081305242771,
+      "loss": 4.9906,
+      "mean_token_accuracy": 0.1938766911625862,
+      "num_tokens": 9659173.0,
+      "step": 5300
+    },
+    {
+      "entropy": 5.355851411819458,
+      "epoch": 4.395194697597349,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035178100857978994,
+      "loss": 4.9344,
+      "mean_token_accuracy": 0.19574909955263137,
+      "num_tokens": 9668114.0,
+      "step": 5305
+    },
+    {
+      "entropy": 5.261717939376831,
+      "epoch": 4.3993371996686,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00035148055704112405,
+      "loss": 4.9927,
+      "mean_token_accuracy": 0.1930756837129593,
+      "num_tokens": 9676628.0,
+      "step": 5310
+    },
+    {
+      "entropy": 5.305881071090698,
+      "epoch": 4.403479701739851,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003511799512328168,
+      "loss": 4.8897,
+      "mean_token_accuracy": 0.19723279178142547,
+      "num_tokens": 9685801.0,
+      "step": 5315
+    },
+    {
+      "entropy": 5.3678816795349125,
+      "epoch": 4.407622203811102,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003508791917612232,
+      "loss": 4.9677,
+      "mean_token_accuracy": 0.18847441226243972,
+      "num_tokens": 9694237.0,
+      "step": 5320
+    },
+    {
+      "entropy": 5.357159948348999,
+      "epoch": 4.411764705882353,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00035057827923300785,
+      "loss": 4.887,
+      "mean_token_accuracy": 0.1993523895740509,
+      "num_tokens": 9701904.0,
+      "step": 5325
+    },
+    {
+      "entropy": 5.308569765090942,
+      "epoch": 4.415907207953604,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035027721425514414,
+      "loss": 4.8661,
+      "mean_token_accuracy": 0.20139306634664536,
+      "num_tokens": 9710784.0,
+      "step": 5330
+    },
+    {
+      "entropy": 5.310255718231201,
+      "epoch": 4.4200497100248555,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003499759974349131,
+      "loss": 4.9969,
+      "mean_token_accuracy": 0.19186950027942656,
+      "num_tokens": 9720452.0,
+      "step": 5335
+    },
+    {
+      "entropy": 5.335639381408692,
+      "epoch": 4.424192212096106,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00034967462937990194,
+      "loss": 4.9619,
+      "mean_token_accuracy": 0.18502581119537354,
+      "num_tokens": 9729122.0,
+      "step": 5340
+    },
+    {
+      "entropy": 5.414971780776978,
+      "epoch": 4.428334714167357,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000349373110698003,
+      "loss": 5.0216,
+      "mean_token_accuracy": 0.18420466929674148,
+      "num_tokens": 9738756.0,
+      "step": 5345
+    },
+    {
+      "entropy": 5.406450796127319,
+      "epoch": 4.432477216238608,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003490714419974124,
+      "loss": 5.0113,
+      "mean_token_accuracy": 0.1904602199792862,
+      "num_tokens": 9748547.0,
+      "step": 5350
+    },
+    {
+      "entropy": 5.358873558044434,
+      "epoch": 4.436619718309859,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034876962388662885,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.18162461519241332,
+      "num_tokens": 9758421.0,
+      "step": 5355
+    },
+    {
+      "entropy": 5.277571201324463,
+      "epoch": 4.44076222038111,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003484676569744525,
+      "loss": 4.8563,
+      "mean_token_accuracy": 0.19333565086126328,
+      "num_tokens": 9766855.0,
+      "step": 5360
+    },
+    {
+      "entropy": 5.348770189285278,
+      "epoch": 4.444904722452361,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003481655418699836,
+      "loss": 4.9589,
+      "mean_token_accuracy": 0.1960444375872612,
+      "num_tokens": 9776157.0,
+      "step": 5365
+    },
+    {
+      "entropy": 5.279411029815674,
+      "epoch": 4.449047224523612,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00034786327918262126,
+      "loss": 4.8489,
+      "mean_token_accuracy": 0.2087496116757393,
+      "num_tokens": 9784386.0,
+      "step": 5370
+    },
+    {
+      "entropy": 5.354473733901978,
+      "epoch": 4.4531897265948635,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00034756086952206255,
+      "loss": 4.9009,
+      "mean_token_accuracy": 0.1958460658788681,
+      "num_tokens": 9793838.0,
+      "step": 5375
+    },
+    {
+      "entropy": 5.353402185440063,
+      "epoch": 4.457332228666115,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003472583134983005,
+      "loss": 4.9971,
+      "mean_token_accuracy": 0.19221619367599488,
+      "num_tokens": 9802595.0,
+      "step": 5380
+    },
+    {
+      "entropy": 5.384884357452393,
+      "epoch": 4.461474730737366,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00034695561172162396,
+      "loss": 4.9775,
+      "mean_token_accuracy": 0.19024742841720582,
+      "num_tokens": 9811309.0,
+      "step": 5385
+    },
+    {
+      "entropy": 5.2829090595245365,
+      "epoch": 4.465617232808617,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00034665276480261526,
+      "loss": 4.9139,
+      "mean_token_accuracy": 0.1915873184800148,
+      "num_tokens": 9820327.0,
+      "step": 5390
+    },
+    {
+      "entropy": 5.351649951934815,
+      "epoch": 4.469759734879867,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003463497733521499,
+      "loss": 4.9852,
+      "mean_token_accuracy": 0.18354866653680801,
+      "num_tokens": 9829588.0,
+      "step": 5395
+    },
+    {
+      "entropy": 5.42580213546753,
+      "epoch": 4.473902236951118,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003460466379813947,
+      "loss": 4.9887,
+      "mean_token_accuracy": 0.18973219394683838,
+      "num_tokens": 9838548.0,
+      "step": 5400
+    },
+    {
+      "entropy": 5.335280847549439,
+      "epoch": 4.478044739022369,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003457433593018068,
+      "loss": 5.0018,
+      "mean_token_accuracy": 0.18838239908218385,
+      "num_tokens": 9847925.0,
+      "step": 5405
+    },
+    {
+      "entropy": 5.396121597290039,
+      "epoch": 4.48218724109362,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034543993792513243,
+      "loss": 5.0169,
+      "mean_token_accuracy": 0.18753209412097932,
+      "num_tokens": 9856839.0,
+      "step": 5410
+    },
+    {
+      "entropy": 5.37349534034729,
+      "epoch": 4.486329743164871,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003451363744634057,
+      "loss": 4.978,
+      "mean_token_accuracy": 0.19382779747247697,
+      "num_tokens": 9866519.0,
+      "step": 5415
+    },
+    {
+      "entropy": 5.430073976516724,
+      "epoch": 4.4904722452361225,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00034483266952894725,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.19110478311777115,
+      "num_tokens": 9876866.0,
+      "step": 5420
+    },
+    {
+      "entropy": 5.440963220596314,
+      "epoch": 4.494614747307374,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0003445288237343632,
+      "loss": 5.0042,
+      "mean_token_accuracy": 0.1870105817914009,
+      "num_tokens": 9884639.0,
+      "step": 5425
+    },
+    {
+      "entropy": 5.332541465759277,
+      "epoch": 4.498757249378625,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003442248376925436,
+      "loss": 4.9715,
+      "mean_token_accuracy": 0.1879585549235344,
+      "num_tokens": 9893819.0,
+      "step": 5430
+    },
+    {
+      "entropy": 5.251445341110229,
+      "epoch": 4.502899751449876,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00034392071201666167,
+      "loss": 4.9164,
+      "mean_token_accuracy": 0.19130610078573226,
+      "num_tokens": 9902419.0,
+      "step": 5435
+    },
+    {
+      "entropy": 5.390727472305298,
+      "epoch": 4.507042253521127,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000343616447320172,
+      "loss": 4.9565,
+      "mean_token_accuracy": 0.19780462980270386,
+      "num_tokens": 9912434.0,
+      "step": 5440
+    },
+    {
+      "entropy": 5.366470289230347,
+      "epoch": 4.511184755592378,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003433120442168097,
+      "loss": 4.9114,
+      "mean_token_accuracy": 0.193550705909729,
+      "num_tokens": 9921800.0,
+      "step": 5445
+    },
+    {
+      "entropy": 5.316132354736328,
+      "epoch": 4.515327257663629,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034300750332058924,
+      "loss": 4.9803,
+      "mean_token_accuracy": 0.18861733824014665,
+      "num_tokens": 9930863.0,
+      "step": 5450
+    },
+    {
+      "entropy": 5.340768337249756,
+      "epoch": 4.51946975973488,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003427028252458028,
+      "loss": 4.995,
+      "mean_token_accuracy": 0.1959969326853752,
+      "num_tokens": 9940524.0,
+      "step": 5455
+    },
+    {
+      "entropy": 5.398335361480713,
+      "epoch": 4.5236122618061305,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.0003423980106070194,
+      "loss": 4.98,
+      "mean_token_accuracy": 0.18993111699819565,
+      "num_tokens": 9948949.0,
+      "step": 5460
+    },
+    {
+      "entropy": 5.363409519195557,
+      "epoch": 4.527754763877382,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003420930600190834,
+      "loss": 5.0007,
+      "mean_token_accuracy": 0.18487946093082427,
+      "num_tokens": 9958154.0,
+      "step": 5465
+    },
+    {
+      "entropy": 5.353360748291015,
+      "epoch": 4.531897265948633,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003417879740971135,
+      "loss": 4.8917,
+      "mean_token_accuracy": 0.19643958359956742,
+      "num_tokens": 9967023.0,
+      "step": 5470
+    },
+    {
+      "entropy": 5.392623519897461,
+      "epoch": 4.536039768019884,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003414827534565014,
+      "loss": 4.9908,
+      "mean_token_accuracy": 0.18982938379049302,
+      "num_tokens": 9976596.0,
+      "step": 5475
+    },
+    {
+      "entropy": 5.358148193359375,
+      "epoch": 4.540182270091135,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00034117739871291036,
+      "loss": 4.8992,
+      "mean_token_accuracy": 0.19934887886047364,
+      "num_tokens": 9985330.0,
+      "step": 5480
+    },
+    {
+      "entropy": 5.35659613609314,
+      "epoch": 4.544324772162386,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00034087191048227445,
+      "loss": 5.032,
+      "mean_token_accuracy": 0.1861831620335579,
+      "num_tokens": 9996053.0,
+      "step": 5485
+    },
+    {
+      "entropy": 5.335864496231079,
+      "epoch": 4.548467274233637,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003405662893807967,
+      "loss": 4.9445,
+      "mean_token_accuracy": 0.1877502605319023,
+      "num_tokens": 10005517.0,
+      "step": 5490
+    },
+    {
+      "entropy": 5.389253044128418,
+      "epoch": 4.552609776304888,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003402605360249482,
+      "loss": 5.0416,
+      "mean_token_accuracy": 0.18830080330371857,
+      "num_tokens": 10014354.0,
+      "step": 5495
+    },
+    {
+      "entropy": 5.3128773212432865,
+      "epoch": 4.556752278376139,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000339954651031467,
+      "loss": 4.9238,
+      "mean_token_accuracy": 0.19178629368543626,
+      "num_tokens": 10023194.0,
+      "step": 5500
+    },
+    {
+      "epoch": 4.556752278376139,
+      "eval_entropy": 5.195640559898003,
+      "eval_loss": 5.80400276184082,
+      "eval_mean_token_accuracy": 0.15982486544323882,
+      "eval_num_tokens": 10023194.0,
+      "eval_runtime": 2.7416,
+      "eval_samples_per_second": 1366.696,
+      "eval_steps_per_second": 171.065,
+      "step": 5500
+    },
+    {
+      "entropy": 5.267048501968384,
+      "epoch": 4.5608947804473905,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00033964863501735647,
+      "loss": 4.9188,
+      "mean_token_accuracy": 0.19228280782699586,
+      "num_tokens": 10032490.0,
+      "step": 5505
+    },
+    {
+      "entropy": 5.392655229568481,
+      "epoch": 4.565037282518642,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00033934248859988453,
+      "loss": 4.9346,
+      "mean_token_accuracy": 0.19580908715724946,
+      "num_tokens": 10041613.0,
+      "step": 5510
+    },
+    {
+      "entropy": 5.262086534500122,
+      "epoch": 4.569179784589892,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003390362123965817,
+      "loss": 4.8733,
+      "mean_token_accuracy": 0.1911102056503296,
+      "num_tokens": 10050500.0,
+      "step": 5515
+    },
+    {
+      "entropy": 5.36342945098877,
+      "epoch": 4.573322286661144,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003387298070252407,
+      "loss": 4.9492,
+      "mean_token_accuracy": 0.1935834139585495,
+      "num_tokens": 10059650.0,
+      "step": 5520
+    },
+    {
+      "entropy": 5.337366104125977,
+      "epoch": 4.577464788732394,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003384232731039146,
+      "loss": 4.9844,
+      "mean_token_accuracy": 0.19709572941064835,
+      "num_tokens": 10067882.0,
+      "step": 5525
+    },
+    {
+      "entropy": 5.300627326965332,
+      "epoch": 4.581607290803645,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00033811661125091584,
+      "loss": 4.9253,
+      "mean_token_accuracy": 0.19670316576957703,
+      "num_tokens": 10077147.0,
+      "step": 5530
+    },
+    {
+      "entropy": 5.369974613189697,
+      "epoch": 4.585749792874896,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00033780982208481494,
+      "loss": 4.9829,
+      "mean_token_accuracy": 0.1897311642765999,
+      "num_tokens": 10086149.0,
+      "step": 5535
+    },
+    {
+      "entropy": 5.303711175918579,
+      "epoch": 4.589892294946147,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003375029062244392,
+      "loss": 4.9027,
+      "mean_token_accuracy": 0.20062701553106307,
+      "num_tokens": 10094997.0,
+      "step": 5540
+    },
+    {
+      "entropy": 5.461194086074829,
+      "epoch": 4.5940347970173985,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00033719586428887125,
+      "loss": 4.9635,
+      "mean_token_accuracy": 0.19236611425876618,
+      "num_tokens": 10103585.0,
+      "step": 5545
+    },
+    {
+      "entropy": 5.276572418212891,
+      "epoch": 4.59817729908865,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00033688869689744836,
+      "loss": 4.8715,
+      "mean_token_accuracy": 0.1956779330968857,
+      "num_tokens": 10113877.0,
+      "step": 5550
+    },
+    {
+      "entropy": 5.333914184570313,
+      "epoch": 4.602319801159901,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003365814046697608,
+      "loss": 4.9676,
+      "mean_token_accuracy": 0.1832288920879364,
+      "num_tokens": 10123127.0,
+      "step": 5555
+    },
+    {
+      "entropy": 5.39079098701477,
+      "epoch": 4.606462303231152,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003362739882256504,
+      "loss": 5.0347,
+      "mean_token_accuracy": 0.186669659614563,
+      "num_tokens": 10132301.0,
+      "step": 5560
+    },
+    {
+      "entropy": 5.369095230102539,
+      "epoch": 4.610604805302403,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0003359664481852099,
+      "loss": 5.0411,
+      "mean_token_accuracy": 0.18307175636291503,
+      "num_tokens": 10140985.0,
+      "step": 5565
+    },
+    {
+      "entropy": 5.309534072875977,
+      "epoch": 4.614747307373654,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00033565878516878103,
+      "loss": 4.9435,
+      "mean_token_accuracy": 0.186006298661232,
+      "num_tokens": 10149668.0,
+      "step": 5570
+    },
+    {
+      "entropy": 5.324404716491699,
+      "epoch": 4.618889809444905,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0003353509997969537,
+      "loss": 4.9982,
+      "mean_token_accuracy": 0.1883559986948967,
+      "num_tokens": 10158584.0,
+      "step": 5575
+    },
+    {
+      "entropy": 5.366722822189331,
+      "epoch": 4.623032311516155,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00033504309269056484,
+      "loss": 4.968,
+      "mean_token_accuracy": 0.19045166224241256,
+      "num_tokens": 10167657.0,
+      "step": 5580
+    },
+    {
+      "entropy": 5.274179601669312,
+      "epoch": 4.6271748135874065,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003347350644706965,
+      "loss": 4.8462,
+      "mean_token_accuracy": 0.1975993499159813,
+      "num_tokens": 10176657.0,
+      "step": 5585
+    },
+    {
+      "entropy": 5.3866353034973145,
+      "epoch": 4.631317315658658,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003344269157586754,
+      "loss": 4.9669,
+      "mean_token_accuracy": 0.19621438384056092,
+      "num_tokens": 10185132.0,
+      "step": 5590
+    },
+    {
+      "entropy": 5.304204607009888,
+      "epoch": 4.635459817729909,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00033411864717607114,
+      "loss": 4.8497,
+      "mean_token_accuracy": 0.19386404007673264,
+      "num_tokens": 10193428.0,
+      "step": 5595
+    },
+    {
+      "entropy": 5.324200677871704,
+      "epoch": 4.63960231980116,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0003338102593446951,
+      "loss": 5.0163,
+      "mean_token_accuracy": 0.18838184028863908,
+      "num_tokens": 10202549.0,
+      "step": 5600
+    },
+    {
+      "entropy": 5.341615533828735,
+      "epoch": 4.643744821872411,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00033350175288659925,
+      "loss": 4.8885,
+      "mean_token_accuracy": 0.1946927636861801,
+      "num_tokens": 10211161.0,
+      "step": 5605
+    },
+    {
+      "entropy": 5.309947538375854,
+      "epoch": 4.647887323943662,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00033319312842407483,
+      "loss": 4.9923,
+      "mean_token_accuracy": 0.18832400739192962,
+      "num_tokens": 10220988.0,
+      "step": 5610
+    },
+    {
+      "entropy": 5.2807288646698,
+      "epoch": 4.652029826014913,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003328843865796511,
+      "loss": 4.8873,
+      "mean_token_accuracy": 0.19748056083917617,
+      "num_tokens": 10229383.0,
+      "step": 5615
+    },
+    {
+      "entropy": 5.421126461029052,
+      "epoch": 4.656172328086164,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033257552797609426,
+      "loss": 4.9686,
+      "mean_token_accuracy": 0.18525946289300918,
+      "num_tokens": 10238622.0,
+      "step": 5620
+    },
+    {
+      "entropy": 5.506065034866333,
+      "epoch": 4.660314830157415,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00033226655323640553,
+      "loss": 5.0677,
+      "mean_token_accuracy": 0.18611674308776854,
+      "num_tokens": 10248201.0,
+      "step": 5625
+    },
+    {
+      "entropy": 5.445924186706543,
+      "epoch": 4.664457332228666,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000331957462983821,
+      "loss": 5.0837,
+      "mean_token_accuracy": 0.17612475752830506,
+      "num_tokens": 10258239.0,
+      "step": 5630
+    },
+    {
+      "entropy": 5.377671623229981,
+      "epoch": 4.668599834299917,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0003316482578418094,
+      "loss": 4.9675,
+      "mean_token_accuracy": 0.1935265153646469,
+      "num_tokens": 10266915.0,
+      "step": 5635
+    },
+    {
+      "entropy": 5.348722076416015,
+      "epoch": 4.672742336371169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00033133893843407126,
+      "loss": 5.0783,
+      "mean_token_accuracy": 0.18859633952379226,
+      "num_tokens": 10276826.0,
+      "step": 5640
+    },
+    {
+      "entropy": 5.327623510360718,
+      "epoch": 4.676884838442419,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00033102950538453776,
+      "loss": 4.9912,
+      "mean_token_accuracy": 0.19163501411676406,
+      "num_tokens": 10286041.0,
+      "step": 5645
+    },
+    {
+      "entropy": 5.367205619812012,
+      "epoch": 4.68102734051367,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00033071995931736897,
+      "loss": 5.0151,
+      "mean_token_accuracy": 0.19023409783840178,
+      "num_tokens": 10295258.0,
+      "step": 5650
+    },
+    {
+      "entropy": 5.404719638824463,
+      "epoch": 4.685169842584921,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00033041030085695323,
+      "loss": 4.9423,
+      "mean_token_accuracy": 0.19237637221813203,
+      "num_tokens": 10304726.0,
+      "step": 5655
+    },
+    {
+      "entropy": 5.34141435623169,
+      "epoch": 4.689312344656172,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003301005306279055,
+      "loss": 4.8745,
+      "mean_token_accuracy": 0.2018929526209831,
+      "num_tokens": 10312912.0,
+      "step": 5660
+    },
+    {
+      "entropy": 5.300086307525635,
+      "epoch": 4.693454846727423,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00032979064925506627,
+      "loss": 4.9743,
+      "mean_token_accuracy": 0.18896473944187164,
+      "num_tokens": 10322046.0,
+      "step": 5665
+    },
+    {
+      "entropy": 5.290521335601807,
+      "epoch": 4.697597348798674,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003294806573634999,
+      "loss": 4.9263,
+      "mean_token_accuracy": 0.206088125705719,
+      "num_tokens": 10331375.0,
+      "step": 5670
+    },
+    {
+      "entropy": 5.353716802597046,
+      "epoch": 4.7017398508699255,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003291705555784942,
+      "loss": 5.0624,
+      "mean_token_accuracy": 0.18850265592336654,
+      "num_tokens": 10341465.0,
+      "step": 5675
+    },
+    {
+      "entropy": 5.466339874267578,
+      "epoch": 4.705882352941177,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00032886034452555814,
+      "loss": 5.052,
+      "mean_token_accuracy": 0.18991907685995102,
+      "num_tokens": 10350137.0,
+      "step": 5680
+    },
+    {
+      "entropy": 5.3118266582489015,
+      "epoch": 4.710024855012428,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003285500248304214,
+      "loss": 4.9502,
+      "mean_token_accuracy": 0.1877942368388176,
+      "num_tokens": 10358666.0,
+      "step": 5685
+    },
+    {
+      "entropy": 5.319189500808716,
+      "epoch": 4.714167357083679,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003282395971190328,
+      "loss": 4.8375,
+      "mean_token_accuracy": 0.19829211980104447,
+      "num_tokens": 10366910.0,
+      "step": 5690
+    },
+    {
+      "entropy": 5.377291250228882,
+      "epoch": 4.71830985915493,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032792906201755876,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19080002307891847,
+      "num_tokens": 10376435.0,
+      "step": 5695
+    },
+    {
+      "entropy": 5.293179368972778,
+      "epoch": 4.72245236122618,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00032761842015238256,
+      "loss": 4.8965,
+      "mean_token_accuracy": 0.2024861231446266,
+      "num_tokens": 10384670.0,
+      "step": 5700
+    },
+    {
+      "entropy": 5.261117172241211,
+      "epoch": 4.726594863297431,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003273076721501029,
+      "loss": 4.8845,
+      "mean_token_accuracy": 0.1939824104309082,
+      "num_tokens": 10393731.0,
+      "step": 5705
+    },
+    {
+      "entropy": 5.386179351806641,
+      "epoch": 4.730737365368682,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003269968186375325,
+      "loss": 4.9916,
+      "mean_token_accuracy": 0.19829274713993073,
+      "num_tokens": 10402369.0,
+      "step": 5710
+    },
+    {
+      "entropy": 5.379951667785645,
+      "epoch": 4.7348798674399335,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003266858602416967,
+      "loss": 4.9801,
+      "mean_token_accuracy": 0.1936841771006584,
+      "num_tokens": 10411566.0,
+      "step": 5715
+    },
+    {
+      "entropy": 5.384341192245484,
+      "epoch": 4.739022369511185,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032637479758983255,
+      "loss": 5.0294,
+      "mean_token_accuracy": 0.18491634279489516,
+      "num_tokens": 10420086.0,
+      "step": 5720
+    },
+    {
+      "entropy": 5.409085655212403,
+      "epoch": 4.743164871582436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00032606363130938766,
+      "loss": 5.0704,
+      "mean_token_accuracy": 0.18897949457168578,
+      "num_tokens": 10429746.0,
+      "step": 5725
+    },
+    {
+      "entropy": 5.349277639389038,
+      "epoch": 4.747307373653687,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0003257523620280181,
+      "loss": 4.9498,
+      "mean_token_accuracy": 0.19129680693149567,
+      "num_tokens": 10438536.0,
+      "step": 5730
+    },
+    {
+      "entropy": 5.348873805999756,
+      "epoch": 4.751449875724938,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00032544099037358834,
+      "loss": 4.9497,
+      "mean_token_accuracy": 0.19692206382751465,
+      "num_tokens": 10447471.0,
+      "step": 5735
+    },
+    {
+      "entropy": 5.33362455368042,
+      "epoch": 4.755592377796189,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003251295169741688,
+      "loss": 4.962,
+      "mean_token_accuracy": 0.1995266228914261,
+      "num_tokens": 10457179.0,
+      "step": 5740
+    },
+    {
+      "entropy": 5.327010250091552,
+      "epoch": 4.75973487986744,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00032481794245803536,
+      "loss": 5.0295,
+      "mean_token_accuracy": 0.18461760133504868,
+      "num_tokens": 10466291.0,
+      "step": 5745
+    },
+    {
+      "entropy": 5.323912620544434,
+      "epoch": 4.763877381938691,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00032450626745366806,
+      "loss": 4.9102,
+      "mean_token_accuracy": 0.19402227252721788,
+      "num_tokens": 10475452.0,
+      "step": 5750
+    },
+    {
+      "entropy": 5.306818199157715,
+      "epoch": 4.768019884009942,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00032419449258974924,
+      "loss": 4.8753,
+      "mean_token_accuracy": 0.20045212656259537,
+      "num_tokens": 10484381.0,
+      "step": 5755
+    },
+    {
+      "entropy": 5.342190933227539,
+      "epoch": 4.7721623860811935,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000323882618495163,
+      "loss": 5.0665,
+      "mean_token_accuracy": 0.1831491023302078,
+      "num_tokens": 10495132.0,
+      "step": 5760
+    },
+    {
+      "entropy": 5.351349258422852,
+      "epoch": 4.776304888152444,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003235706457989934,
+      "loss": 5.0246,
+      "mean_token_accuracy": 0.1850237250328064,
+      "num_tokens": 10504519.0,
+      "step": 5765
+    },
+    {
+      "entropy": 5.387107896804809,
+      "epoch": 4.780447390223695,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032325857513052354,
+      "loss": 4.9654,
+      "mean_token_accuracy": 0.19212980419397355,
+      "num_tokens": 10513575.0,
+      "step": 5770
+    },
+    {
+      "entropy": 5.396086692810059,
+      "epoch": 4.784589892294946,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000322946407119234,
+      "loss": 5.0554,
+      "mean_token_accuracy": 0.18998173326253892,
+      "num_tokens": 10522148.0,
+      "step": 5775
+    },
+    {
+      "entropy": 5.361077404022216,
+      "epoch": 4.788732394366197,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032263414239480187,
+      "loss": 4.9891,
+      "mean_token_accuracy": 0.18589809089899062,
+      "num_tokens": 10531183.0,
+      "step": 5780
+    },
+    {
+      "entropy": 5.342947483062744,
+      "epoch": 4.792874896437448,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.000322321781587099,
+      "loss": 4.9298,
+      "mean_token_accuracy": 0.19391343146562576,
+      "num_tokens": 10540677.0,
+      "step": 5785
+    },
+    {
+      "entropy": 5.276329088211059,
+      "epoch": 4.797017398508699,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003220093253261915,
+      "loss": 4.9342,
+      "mean_token_accuracy": 0.18589555770158767,
+      "num_tokens": 10550009.0,
+      "step": 5790
+    },
+    {
+      "entropy": 5.315787076950073,
+      "epoch": 4.80115990057995,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003216967742423377,
+      "loss": 4.9621,
+      "mean_token_accuracy": 0.19312297254800798,
+      "num_tokens": 10559694.0,
+      "step": 5795
+    },
+    {
+      "entropy": 5.339448022842407,
+      "epoch": 4.8053024026512015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003213841289659872,
+      "loss": 4.9613,
+      "mean_token_accuracy": 0.20080769211053848,
+      "num_tokens": 10567965.0,
+      "step": 5800
+    },
+    {
+      "entropy": 5.312955284118653,
+      "epoch": 4.809444904722453,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003210713901277799,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.19690640568733214,
+      "num_tokens": 10577653.0,
+      "step": 5805
+    },
+    {
+      "entropy": 5.359428977966308,
+      "epoch": 4.813587406793704,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000320758558358544,
+      "loss": 4.9728,
+      "mean_token_accuracy": 0.18951950818300248,
+      "num_tokens": 10586903.0,
+      "step": 5810
+    },
+    {
+      "entropy": 5.302858638763428,
+      "epoch": 4.817729908864955,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003204456342892955,
+      "loss": 4.8829,
+      "mean_token_accuracy": 0.19500194638967513,
+      "num_tokens": 10595411.0,
+      "step": 5815
+    },
+    {
+      "entropy": 5.321697616577149,
+      "epoch": 4.821872410936205,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00032013261855123637,
+      "loss": 4.9475,
+      "mean_token_accuracy": 0.1907385230064392,
+      "num_tokens": 10604147.0,
+      "step": 5820
+    },
+    {
+      "entropy": 5.368891286849975,
+      "epoch": 4.826014913007457,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00031981951177575366,
+      "loss": 5.0445,
+      "mean_token_accuracy": 0.1850367307662964,
+      "num_tokens": 10614048.0,
+      "step": 5825
+    },
+    {
+      "entropy": 5.374803781509399,
+      "epoch": 4.830157415078707,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003195063145944178,
+      "loss": 5.0779,
+      "mean_token_accuracy": 0.18388603180646895,
+      "num_tokens": 10623399.0,
+      "step": 5830
+    },
+    {
+      "entropy": 5.389354228973389,
+      "epoch": 4.834299917149958,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003191930276389819,
+      "loss": 4.9183,
+      "mean_token_accuracy": 0.19506800919771194,
+      "num_tokens": 10632627.0,
+      "step": 5835
+    },
+    {
+      "entropy": 5.401239061355591,
+      "epoch": 4.838442419221209,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00031887965154137987,
+      "loss": 4.9726,
+      "mean_token_accuracy": 0.1816769301891327,
+      "num_tokens": 10641155.0,
+      "step": 5840
+    },
+    {
+      "entropy": 5.354168939590454,
+      "epoch": 4.8425849212924605,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003185661869337255,
+      "loss": 5.0118,
+      "mean_token_accuracy": 0.18452974855899812,
+      "num_tokens": 10649661.0,
+      "step": 5845
+    },
+    {
+      "entropy": 5.265790605545044,
+      "epoch": 4.846727423363712,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00031825263444831137,
+      "loss": 4.9151,
+      "mean_token_accuracy": 0.19235364347696304,
+      "num_tokens": 10658652.0,
+      "step": 5850
+    },
+    {
+      "entropy": 5.3790277481079105,
+      "epoch": 4.850869925434963,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003179389947176069,
+      "loss": 5.0445,
+      "mean_token_accuracy": 0.1886226385831833,
+      "num_tokens": 10668703.0,
+      "step": 5855
+    },
+    {
+      "entropy": 5.385872554779053,
+      "epoch": 4.855012427506214,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003176252683742578,
+      "loss": 4.9484,
+      "mean_token_accuracy": 0.19056980460882186,
+      "num_tokens": 10677740.0,
+      "step": 5860
+    },
+    {
+      "entropy": 5.347926044464112,
+      "epoch": 4.859154929577465,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003173114560510843,
+      "loss": 4.9447,
+      "mean_token_accuracy": 0.18929830342531204,
+      "num_tokens": 10686429.0,
+      "step": 5865
+    },
+    {
+      "entropy": 5.332098054885864,
+      "epoch": 4.863297431648716,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00031699755838108027,
+      "loss": 5.0442,
+      "mean_token_accuracy": 0.1941297546029091,
+      "num_tokens": 10696367.0,
+      "step": 5870
+    },
+    {
+      "entropy": 5.310936546325683,
+      "epoch": 4.867439933719967,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003166835759974115,
+      "loss": 4.9902,
+      "mean_token_accuracy": 0.1873769447207451,
+      "num_tokens": 10705712.0,
+      "step": 5875
+    },
+    {
+      "entropy": 5.371630382537842,
+      "epoch": 4.871582435791218,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031636950953341486,
+      "loss": 5.0345,
+      "mean_token_accuracy": 0.18638068735599517,
+      "num_tokens": 10715897.0,
+      "step": 5880
+    },
+    {
+      "entropy": 5.3334348678588865,
+      "epoch": 4.8757249378624685,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00031605535962259666,
+      "loss": 4.9268,
+      "mean_token_accuracy": 0.1887778237462044,
+      "num_tokens": 10724810.0,
+      "step": 5885
+    },
+    {
+      "entropy": 5.353308916091919,
+      "epoch": 4.87986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003157411268986316,
+      "loss": 4.9771,
+      "mean_token_accuracy": 0.1932398796081543,
+      "num_tokens": 10734661.0,
+      "step": 5890
+    },
+    {
+      "entropy": 5.287876415252685,
+      "epoch": 4.884009942004971,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003154268119953615,
+      "loss": 4.9586,
+      "mean_token_accuracy": 0.19356854259967804,
+      "num_tokens": 10743642.0,
+      "step": 5895
+    },
+    {
+      "entropy": 5.344345998764038,
+      "epoch": 4.888152444076222,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003151124155467938,
+      "loss": 4.9607,
+      "mean_token_accuracy": 0.19625648856163025,
+      "num_tokens": 10752812.0,
+      "step": 5900
+    },
+    {
+      "entropy": 5.3407337188720705,
+      "epoch": 4.892294946147473,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00031479793818710056,
+      "loss": 4.9983,
+      "mean_token_accuracy": 0.18306475579738618,
+      "num_tokens": 10762117.0,
+      "step": 5905
+    },
+    {
+      "entropy": 5.299752902984619,
+      "epoch": 4.896437448218724,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031448338055061685,
+      "loss": 4.9018,
+      "mean_token_accuracy": 0.19901909530162812,
+      "num_tokens": 10771515.0,
+      "step": 5910
+    },
+    {
+      "entropy": 5.309285831451416,
+      "epoch": 4.900579950289975,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00031416874327183994,
+      "loss": 4.9486,
+      "mean_token_accuracy": 0.19302618503570557,
+      "num_tokens": 10780610.0,
+      "step": 5915
+    },
+    {
+      "entropy": 5.22410569190979,
+      "epoch": 4.904722452361226,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031385402698542753,
+      "loss": 4.9151,
+      "mean_token_accuracy": 0.19276074767112733,
+      "num_tokens": 10789169.0,
+      "step": 5920
+    },
+    {
+      "entropy": 5.30161485671997,
+      "epoch": 4.908864954432477,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031353923232619674,
+      "loss": 4.9078,
+      "mean_token_accuracy": 0.19779694378376006,
+      "num_tokens": 10798636.0,
+      "step": 5925
+    },
+    {
+      "entropy": 5.3571271896362305,
+      "epoch": 4.9130074565037285,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003132243599291229,
+      "loss": 4.9753,
+      "mean_token_accuracy": 0.19644105434417725,
+      "num_tokens": 10808245.0,
+      "step": 5930
+    },
+    {
+      "entropy": 5.384200191497802,
+      "epoch": 4.91714995857498,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00031290941042933797,
+      "loss": 4.9679,
+      "mean_token_accuracy": 0.18787674605846405,
+      "num_tokens": 10817164.0,
+      "step": 5935
+    },
+    {
+      "entropy": 5.287544202804566,
+      "epoch": 4.92129246064623,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031259438446212953,
+      "loss": 5.0007,
+      "mean_token_accuracy": 0.18373542726039888,
+      "num_tokens": 10826098.0,
+      "step": 5940
+    },
+    {
+      "entropy": 5.33493857383728,
+      "epoch": 4.925434962717482,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00031227928266293933,
+      "loss": 5.0115,
+      "mean_token_accuracy": 0.18100205808877945,
+      "num_tokens": 10836427.0,
+      "step": 5945
+    },
+    {
+      "entropy": 5.345344829559326,
+      "epoch": 4.929577464788732,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00031196410566736215,
+      "loss": 4.9689,
+      "mean_token_accuracy": 0.19277302771806717,
+      "num_tokens": 10845804.0,
+      "step": 5950
+    },
+    {
+      "entropy": 5.3519449710845945,
+      "epoch": 4.933719966859983,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00031164885411114453,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.1908810630440712,
+      "num_tokens": 10855951.0,
+      "step": 5955
+    },
+    {
+      "entropy": 5.301464605331421,
+      "epoch": 4.937862468931234,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031133352863018315,
+      "loss": 5.079,
+      "mean_token_accuracy": 0.18923453092575074,
+      "num_tokens": 10865528.0,
+      "step": 5960
+    },
+    {
+      "entropy": 5.369193601608276,
+      "epoch": 4.942004971002485,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00031101812986052406,
+      "loss": 4.9936,
+      "mean_token_accuracy": 0.19839225262403487,
+      "num_tokens": 10874365.0,
+      "step": 5965
+    },
+    {
+      "entropy": 5.310976552963257,
+      "epoch": 4.9461474730737365,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00031070265843836107,
+      "loss": 4.9184,
+      "mean_token_accuracy": 0.1972976267337799,
+      "num_tokens": 10883034.0,
+      "step": 5970
+    },
+    {
+      "entropy": 5.323369884490967,
+      "epoch": 4.950289975144988,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003103871150000345,
+      "loss": 4.9768,
+      "mean_token_accuracy": 0.1961338758468628,
+      "num_tokens": 10892307.0,
+      "step": 5975
+    },
+    {
+      "entropy": 5.354686069488525,
+      "epoch": 4.954432477216239,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00031007150018202983,
+      "loss": 5.057,
+      "mean_token_accuracy": 0.18536237627267838,
+      "num_tokens": 10902074.0,
+      "step": 5980
+    },
+    {
+      "entropy": 5.372721862792969,
+      "epoch": 4.95857497928749,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00030975581462097673,
+      "loss": 4.8961,
+      "mean_token_accuracy": 0.19350670725107194,
+      "num_tokens": 10911205.0,
+      "step": 5985
+    },
+    {
+      "entropy": 5.278085422515869,
+      "epoch": 4.962717481358741,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00030944005895364754,
+      "loss": 4.9233,
+      "mean_token_accuracy": 0.19045489132404328,
+      "num_tokens": 10920371.0,
+      "step": 5990
+    },
+    {
+      "entropy": 5.219862222671509,
+      "epoch": 4.966859983429992,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00030912423381695584,
+      "loss": 4.9124,
+      "mean_token_accuracy": 0.20015972554683686,
+      "num_tokens": 10928741.0,
+      "step": 5995
+    },
+    {
+      "entropy": 5.3216063499450685,
+      "epoch": 4.971002485501243,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00030880833984795554,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.20140086114406586,
+      "num_tokens": 10938074.0,
+      "step": 6000
+    },
+    {
+      "epoch": 4.971002485501243,
+      "eval_entropy": 5.223882782942196,
+      "eval_loss": 5.772702217102051,
+      "eval_mean_token_accuracy": 0.16291698060437307,
+      "eval_num_tokens": 10938074.0,
+      "eval_runtime": 2.7438,
+      "eval_samples_per_second": 1365.624,
+      "eval_steps_per_second": 170.931,
+      "step": 6000
+    },
+    {
+      "entropy": 5.304221105575562,
+      "epoch": 4.975144987572493,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0003084923776838392,
+      "loss": 4.9428,
+      "mean_token_accuracy": 0.1906152918934822,
+      "num_tokens": 10946756.0,
+      "step": 6005
+    },
+    {
+      "entropy": 5.28564419746399,
+      "epoch": 4.9792874896437445,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00030817634796193705,
+      "loss": 4.9192,
+      "mean_token_accuracy": 0.19711493700742722,
+      "num_tokens": 10956313.0,
+      "step": 6010
+    },
+    {
+      "entropy": 5.420253419876099,
+      "epoch": 4.983429991714996,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00030786025131971555,
+      "loss": 4.9823,
+      "mean_token_accuracy": 0.19457563310861586,
+      "num_tokens": 10964333.0,
+      "step": 6015
+    },
+    {
+      "entropy": 5.329161500930786,
+      "epoch": 4.987572493786247,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003075440883947764,
+      "loss": 4.8999,
+      "mean_token_accuracy": 0.19664130955934525,
+      "num_tokens": 10974110.0,
+      "step": 6020
+    },
+    {
+      "entropy": 5.248602771759034,
+      "epoch": 4.991714995857498,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003072278598248544,
+      "loss": 4.9529,
+      "mean_token_accuracy": 0.19656815081834794,
+      "num_tokens": 10983186.0,
+      "step": 6025
+    },
+    {
+      "entropy": 5.307998704910278,
+      "epoch": 4.995857497928749,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00030691156624781734,
+      "loss": 4.9377,
+      "mean_token_accuracy": 0.19932860583066941,
+      "num_tokens": 10992244.0,
+      "step": 6030
+    },
+    {
+      "entropy": 5.353039836883545,
+      "epoch": 5.0,
+      "grad_norm": 1.8515625,
+      "learning_rate": 0.000306595208301664,
+      "loss": 4.927,
+      "mean_token_accuracy": 0.20540354549884796,
+      "num_tokens": 11000005.0,
+      "step": 6035
+    },
+    {
+      "entropy": 5.336960649490356,
+      "epoch": 5.004142502071251,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00030627878662452273,
+      "loss": 4.7717,
+      "mean_token_accuracy": 0.20522954761981965,
+      "num_tokens": 11009346.0,
+      "step": 6040
+    },
+    {
+      "entropy": 5.356115531921387,
+      "epoch": 5.008285004142502,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003059623018546508,
+      "loss": 4.7197,
+      "mean_token_accuracy": 0.2092713624238968,
+      "num_tokens": 11017844.0,
+      "step": 6045
+    },
+    {
+      "entropy": 5.362998294830322,
+      "epoch": 5.012427506213753,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003056457546304326,
+      "loss": 4.7531,
+      "mean_token_accuracy": 0.21363187432289124,
+      "num_tokens": 11026840.0,
+      "step": 6050
+    },
+    {
+      "entropy": 5.250718975067139,
+      "epoch": 5.016570008285004,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003053291455903782,
+      "loss": 4.7186,
+      "mean_token_accuracy": 0.2076275572180748,
+      "num_tokens": 11034906.0,
+      "step": 6055
+    },
+    {
+      "entropy": 5.263190746307373,
+      "epoch": 5.0207125103562555,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00030501247537312293,
+      "loss": 4.7802,
+      "mean_token_accuracy": 0.20651286244392394,
+      "num_tokens": 11044403.0,
+      "step": 6060
+    },
+    {
+      "entropy": 5.360515308380127,
+      "epoch": 5.024855012427507,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0003046957446174251,
+      "loss": 4.7387,
+      "mean_token_accuracy": 0.21264788061380385,
+      "num_tokens": 11052685.0,
+      "step": 6065
+    },
+    {
+      "entropy": 5.316996622085571,
+      "epoch": 5.028997514498757,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00030437895396216524,
+      "loss": 4.591,
+      "mean_token_accuracy": 0.21709324419498444,
+      "num_tokens": 11060830.0,
+      "step": 6070
+    },
+    {
+      "entropy": 5.315813970565796,
+      "epoch": 5.033140016570008,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.00030406210404634475,
+      "loss": 4.7708,
+      "mean_token_accuracy": 0.20373892933130264,
+      "num_tokens": 11070220.0,
+      "step": 6075
+    },
+    {
+      "entropy": 5.294347095489502,
+      "epoch": 5.037282518641259,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003037451955090846,
+      "loss": 4.6847,
+      "mean_token_accuracy": 0.20420003384351731,
+      "num_tokens": 11079171.0,
+      "step": 6080
+    },
+    {
+      "entropy": 5.297221279144287,
+      "epoch": 5.04142502071251,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00030342822898962377,
+      "loss": 4.7697,
+      "mean_token_accuracy": 0.20524269640445708,
+      "num_tokens": 11089205.0,
+      "step": 6085
+    },
+    {
+      "entropy": 5.273457336425781,
+      "epoch": 5.045567522783761,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003031112051273185,
+      "loss": 4.7429,
+      "mean_token_accuracy": 0.21156702935695648,
+      "num_tokens": 11098339.0,
+      "step": 6090
+    },
+    {
+      "entropy": 5.299424123764038,
+      "epoch": 5.049710024855012,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003027941245616405,
+      "loss": 4.6524,
+      "mean_token_accuracy": 0.21203886568546296,
+      "num_tokens": 11107218.0,
+      "step": 6095
+    },
+    {
+      "entropy": 5.3286974906921385,
+      "epoch": 5.0538525269262635,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003024769879321761,
+      "loss": 4.7702,
+      "mean_token_accuracy": 0.2051073744893074,
+      "num_tokens": 11116457.0,
+      "step": 6100
+    },
+    {
+      "entropy": 5.300696182250976,
+      "epoch": 5.057995028997515,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0003021597958786243,
+      "loss": 4.7449,
+      "mean_token_accuracy": 0.20762935131788254,
+      "num_tokens": 11124834.0,
+      "step": 6105
+    },
+    {
+      "entropy": 5.288244676589966,
+      "epoch": 5.062137531068766,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003018425490407962,
+      "loss": 4.76,
+      "mean_token_accuracy": 0.20868725776672364,
+      "num_tokens": 11133920.0,
+      "step": 6110
+    },
+    {
+      "entropy": 5.387529897689819,
+      "epoch": 5.066280033140017,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00030152524805861344,
+      "loss": 4.7597,
+      "mean_token_accuracy": 0.20800695270299913,
+      "num_tokens": 11143573.0,
+      "step": 6115
+    },
+    {
+      "entropy": 5.3629701137542725,
+      "epoch": 5.070422535211268,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00030120789357210667,
+      "loss": 4.8139,
+      "mean_token_accuracy": 0.20669919848442078,
+      "num_tokens": 11154255.0,
+      "step": 6120
+    },
+    {
+      "entropy": 5.300123262405395,
+      "epoch": 5.074565037282519,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00030089048622141453,
+      "loss": 4.7241,
+      "mean_token_accuracy": 0.2095050945878029,
+      "num_tokens": 11163306.0,
+      "step": 6125
+    },
+    {
+      "entropy": 5.368470001220703,
+      "epoch": 5.078707539353769,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00030057302664678243,
+      "loss": 4.7569,
+      "mean_token_accuracy": 0.20853464156389237,
+      "num_tokens": 11172763.0,
+      "step": 6130
+    },
+    {
+      "entropy": 5.33392744064331,
+      "epoch": 5.08285004142502,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00030025551548856105,
+      "loss": 4.7413,
+      "mean_token_accuracy": 0.20951523035764694,
+      "num_tokens": 11182196.0,
+      "step": 6135
+    },
+    {
+      "entropy": 5.287980794906616,
+      "epoch": 5.0869925434962715,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002999379533872051,
+      "loss": 4.7905,
+      "mean_token_accuracy": 0.19804110527038574,
+      "num_tokens": 11192462.0,
+      "step": 6140
+    },
+    {
+      "entropy": 5.281665325164795,
+      "epoch": 5.091135045567523,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002996203409832719,
+      "loss": 4.7519,
+      "mean_token_accuracy": 0.2107569918036461,
+      "num_tokens": 11201805.0,
+      "step": 6145
+    },
+    {
+      "entropy": 5.31660532951355,
+      "epoch": 5.095277547638774,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002993026789174205,
+      "loss": 4.7322,
+      "mean_token_accuracy": 0.21754502654075622,
+      "num_tokens": 11210114.0,
+      "step": 6150
+    },
+    {
+      "entropy": 5.335706996917724,
+      "epoch": 5.099420049710025,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002989849678304099,
+      "loss": 4.8147,
+      "mean_token_accuracy": 0.20241696387529373,
+      "num_tokens": 11219725.0,
+      "step": 6155
+    },
+    {
+      "entropy": 5.308135366439819,
+      "epoch": 5.103562551781276,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00029866720836309817,
+      "loss": 4.7283,
+      "mean_token_accuracy": 0.20736500322818757,
+      "num_tokens": 11228583.0,
+      "step": 6160
+    },
+    {
+      "entropy": 5.3292882442474365,
+      "epoch": 5.107705053852527,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00029834940115644086,
+      "loss": 4.7472,
+      "mean_token_accuracy": 0.20635622441768647,
+      "num_tokens": 11237787.0,
+      "step": 6165
+    },
+    {
+      "entropy": 5.2917111873626705,
+      "epoch": 5.111847555923778,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002980315468514898,
+      "loss": 4.7704,
+      "mean_token_accuracy": 0.20057149082422257,
+      "num_tokens": 11247136.0,
+      "step": 6170
+    },
+    {
+      "entropy": 5.239889097213745,
+      "epoch": 5.115990057995029,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00029771364608939196,
+      "loss": 4.6994,
+      "mean_token_accuracy": 0.20981708765029908,
+      "num_tokens": 11256931.0,
+      "step": 6175
+    },
+    {
+      "entropy": 5.272354030609131,
+      "epoch": 5.12013256006628,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002973956995113878,
+      "loss": 4.6811,
+      "mean_token_accuracy": 0.20489206910133362,
+      "num_tokens": 11266457.0,
+      "step": 6180
+    },
+    {
+      "entropy": 5.272558641433716,
+      "epoch": 5.1242750621375315,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.0002970777077588103,
+      "loss": 4.6443,
+      "mean_token_accuracy": 0.2170465260744095,
+      "num_tokens": 11274239.0,
+      "step": 6185
+    },
+    {
+      "entropy": 5.282349872589111,
+      "epoch": 5.128417564208782,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0002967596714730837,
+      "loss": 4.7752,
+      "mean_token_accuracy": 0.20363858938217164,
+      "num_tokens": 11283239.0,
+      "step": 6190
+    },
+    {
+      "entropy": 5.285331869125367,
+      "epoch": 5.132560066280033,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00029644159129572185,
+      "loss": 4.7121,
+      "mean_token_accuracy": 0.2075791761279106,
+      "num_tokens": 11291662.0,
+      "step": 6195
+    },
+    {
+      "entropy": 5.2614960193634035,
+      "epoch": 5.136702568351284,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002961234678683272,
+      "loss": 4.7453,
+      "mean_token_accuracy": 0.21309943348169327,
+      "num_tokens": 11300165.0,
+      "step": 6200
+    },
+    {
+      "entropy": 5.323043155670166,
+      "epoch": 5.140845070422535,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0002958053018325896,
+      "loss": 4.7132,
+      "mean_token_accuracy": 0.21612811386585234,
+      "num_tokens": 11309729.0,
+      "step": 6205
+    },
+    {
+      "entropy": 5.375712585449219,
+      "epoch": 5.144987572493786,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002954870938302846,
+      "loss": 4.7657,
+      "mean_token_accuracy": 0.2033802881836891,
+      "num_tokens": 11318674.0,
+      "step": 6210
+    },
+    {
+      "entropy": 5.292187595367432,
+      "epoch": 5.149130074565037,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002951688445032726,
+      "loss": 4.7309,
+      "mean_token_accuracy": 0.21144932359457017,
+      "num_tokens": 11327583.0,
+      "step": 6215
+    },
+    {
+      "entropy": 5.326848030090332,
+      "epoch": 5.153272576636288,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002948505544934971,
+      "loss": 4.7639,
+      "mean_token_accuracy": 0.2049189493060112,
+      "num_tokens": 11338132.0,
+      "step": 6220
+    },
+    {
+      "entropy": 5.31851224899292,
+      "epoch": 5.1574150787075395,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000294532224442984,
+      "loss": 4.7911,
+      "mean_token_accuracy": 0.20397177040576936,
+      "num_tokens": 11347210.0,
+      "step": 6225
+    },
+    {
+      "entropy": 5.275168132781983,
+      "epoch": 5.161557580778791,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00029421385499383976,
+      "loss": 4.6742,
+      "mean_token_accuracy": 0.22349916100502015,
+      "num_tokens": 11355479.0,
+      "step": 6230
+    },
+    {
+      "entropy": 5.348278999328613,
+      "epoch": 5.165700082850042,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00029389544678825035,
+      "loss": 4.8403,
+      "mean_token_accuracy": 0.19372698813676834,
+      "num_tokens": 11364518.0,
+      "step": 6235
+    },
+    {
+      "entropy": 5.247139596939087,
+      "epoch": 5.169842584921293,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00029357700046847985,
+      "loss": 4.737,
+      "mean_token_accuracy": 0.2046540141105652,
+      "num_tokens": 11373589.0,
+      "step": 6240
+    },
+    {
+      "entropy": 5.368101263046265,
+      "epoch": 5.173985086992544,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002932585166768694,
+      "loss": 4.7938,
+      "mean_token_accuracy": 0.20394597351551055,
+      "num_tokens": 11383209.0,
+      "step": 6245
+    },
+    {
+      "entropy": 5.315500497817993,
+      "epoch": 5.178127589063794,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00029293999605583545,
+      "loss": 4.7294,
+      "mean_token_accuracy": 0.20444581657648087,
+      "num_tokens": 11392012.0,
+      "step": 6250
+    },
+    {
+      "entropy": 5.282355690002442,
+      "epoch": 5.182270091135045,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00029262143924786905,
+      "loss": 4.7761,
+      "mean_token_accuracy": 0.20456164181232453,
+      "num_tokens": 11400489.0,
+      "step": 6255
+    },
+    {
+      "entropy": 5.2667319774627686,
+      "epoch": 5.186412593206296,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00029230284689553404,
+      "loss": 4.6817,
+      "mean_token_accuracy": 0.21175160706043245,
+      "num_tokens": 11409337.0,
+      "step": 6260
+    },
+    {
+      "entropy": 5.286681175231934,
+      "epoch": 5.190555095277547,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00029198421964146605,
+      "loss": 4.7382,
+      "mean_token_accuracy": 0.21787525415420533,
+      "num_tokens": 11418650.0,
+      "step": 6265
+    },
+    {
+      "entropy": 5.2383523941040036,
+      "epoch": 5.1946975973487985,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002916655581283709,
+      "loss": 4.747,
+      "mean_token_accuracy": 0.20590767711400987,
+      "num_tokens": 11427516.0,
+      "step": 6270
+    },
+    {
+      "entropy": 5.225810289382935,
+      "epoch": 5.19884009942005,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00029134686299902397,
+      "loss": 4.7223,
+      "mean_token_accuracy": 0.20668105334043502,
+      "num_tokens": 11435676.0,
+      "step": 6275
+    },
+    {
+      "entropy": 5.336339044570923,
+      "epoch": 5.202982601491301,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002910281348962679,
+      "loss": 4.7825,
+      "mean_token_accuracy": 0.1937339723110199,
+      "num_tokens": 11444520.0,
+      "step": 6280
+    },
+    {
+      "entropy": 5.342389440536499,
+      "epoch": 5.207125103562552,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00029070937446301225,
+      "loss": 4.7611,
+      "mean_token_accuracy": 0.20350439995527267,
+      "num_tokens": 11453759.0,
+      "step": 6285
+    },
+    {
+      "entropy": 5.377904796600342,
+      "epoch": 5.211267605633803,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002903905823422317,
+      "loss": 4.9078,
+      "mean_token_accuracy": 0.1901518851518631,
+      "num_tokens": 11463409.0,
+      "step": 6290
+    },
+    {
+      "entropy": 5.323945093154907,
+      "epoch": 5.215410107705054,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002900717591769646,
+      "loss": 4.7966,
+      "mean_token_accuracy": 0.20510322898626326,
+      "num_tokens": 11473440.0,
+      "step": 6295
+    },
+    {
+      "entropy": 5.27484130859375,
+      "epoch": 5.219552609776305,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002897529056103122,
+      "loss": 4.6336,
+      "mean_token_accuracy": 0.2183629482984543,
+      "num_tokens": 11482353.0,
+      "step": 6300
+    },
+    {
+      "entropy": 5.297479438781738,
+      "epoch": 5.223695111847556,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002894340222854371,
+      "loss": 4.7712,
+      "mean_token_accuracy": 0.20640946179628372,
+      "num_tokens": 11491331.0,
+      "step": 6305
+    },
+    {
+      "entropy": 5.215849542617798,
+      "epoch": 5.2278376139188065,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002891151098455617,
+      "loss": 4.7107,
+      "mean_token_accuracy": 0.20350281596183778,
+      "num_tokens": 11500553.0,
+      "step": 6310
+    },
+    {
+      "entropy": 5.170541191101075,
+      "epoch": 5.231980115990058,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002887961689339672,
+      "loss": 4.6526,
+      "mean_token_accuracy": 0.21051572561264037,
+      "num_tokens": 11509146.0,
+      "step": 6315
+    },
+    {
+      "entropy": 5.332199335098267,
+      "epoch": 5.236122618061309,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002884772001939924,
+      "loss": 4.7771,
+      "mean_token_accuracy": 0.20190449655056,
+      "num_tokens": 11518172.0,
+      "step": 6320
+    },
+    {
+      "entropy": 5.30375485420227,
+      "epoch": 5.24026512013256,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000288158204269032,
+      "loss": 4.7764,
+      "mean_token_accuracy": 0.19927115142345428,
+      "num_tokens": 11527291.0,
+      "step": 6325
+    },
+    {
+      "entropy": 5.285002279281616,
+      "epoch": 5.244407622203811,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00028783918180253567,
+      "loss": 4.7763,
+      "mean_token_accuracy": 0.20877851247787477,
+      "num_tokens": 11536306.0,
+      "step": 6330
+    },
+    {
+      "entropy": 5.325639486312866,
+      "epoch": 5.248550124275062,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002875201334380066,
+      "loss": 4.801,
+      "mean_token_accuracy": 0.20768691897392272,
+      "num_tokens": 11545879.0,
+      "step": 6335
+    },
+    {
+      "entropy": 5.260626125335693,
+      "epoch": 5.252692626346313,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002872010598190002,
+      "loss": 4.7203,
+      "mean_token_accuracy": 0.21331494748592378,
+      "num_tokens": 11555067.0,
+      "step": 6340
+    },
+    {
+      "entropy": 5.273142910003662,
+      "epoch": 5.256835128417564,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002868819615891229,
+      "loss": 4.699,
+      "mean_token_accuracy": 0.211579430103302,
+      "num_tokens": 11563419.0,
+      "step": 6345
+    },
+    {
+      "entropy": 5.256633758544922,
+      "epoch": 5.260977630488815,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002865628393920305,
+      "loss": 4.7696,
+      "mean_token_accuracy": 0.207663132250309,
+      "num_tokens": 11573018.0,
+      "step": 6350
+    },
+    {
+      "entropy": 5.237578821182251,
+      "epoch": 5.2651201325600665,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.0002862436938714276,
+      "loss": 4.7003,
+      "mean_token_accuracy": 0.20862672179937364,
+      "num_tokens": 11581996.0,
+      "step": 6355
+    },
+    {
+      "entropy": 5.355519008636475,
+      "epoch": 5.269262634631318,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002859245256710654,
+      "loss": 4.7534,
+      "mean_token_accuracy": 0.20775581747293473,
+      "num_tokens": 11591706.0,
+      "step": 6360
+    },
+    {
+      "entropy": 5.319948673248291,
+      "epoch": 5.273405136702569,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002856053354347411,
+      "loss": 4.7813,
+      "mean_token_accuracy": 0.2074725329875946,
+      "num_tokens": 11600616.0,
+      "step": 6365
+    },
+    {
+      "entropy": 5.243834018707275,
+      "epoch": 5.27754763877382,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002852861238062963,
+      "loss": 4.6584,
+      "mean_token_accuracy": 0.21568063348531724,
+      "num_tokens": 11609650.0,
+      "step": 6370
+    },
+    {
+      "entropy": 5.26465950012207,
+      "epoch": 5.28169014084507,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002849668914296157,
+      "loss": 4.6998,
+      "mean_token_accuracy": 0.21142313480377198,
+      "num_tokens": 11618785.0,
+      "step": 6375
+    },
+    {
+      "entropy": 5.305418300628662,
+      "epoch": 5.285832642916321,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000284647638948626,
+      "loss": 4.7576,
+      "mean_token_accuracy": 0.20556087791919708,
+      "num_tokens": 11628089.0,
+      "step": 6380
+    },
+    {
+      "entropy": 5.268257570266724,
+      "epoch": 5.289975144987572,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002843283670072942,
+      "loss": 4.8658,
+      "mean_token_accuracy": 0.19545172303915023,
+      "num_tokens": 11636954.0,
+      "step": 6385
+    },
+    {
+      "entropy": 5.275126600265503,
+      "epoch": 5.294117647058823,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0002840090762496268,
+      "loss": 4.7803,
+      "mean_token_accuracy": 0.20498874336481093,
+      "num_tokens": 11646719.0,
+      "step": 6390
+    },
+    {
+      "entropy": 5.340854024887085,
+      "epoch": 5.2982601491300745,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002836897673196681,
+      "loss": 4.7015,
+      "mean_token_accuracy": 0.20719585418701172,
+      "num_tokens": 11655589.0,
+      "step": 6395
+    },
+    {
+      "entropy": 5.227226972579956,
+      "epoch": 5.302402651201326,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00028337044086149913,
+      "loss": 4.7283,
+      "mean_token_accuracy": 0.20560554265975953,
+      "num_tokens": 11663703.0,
+      "step": 6400
+    },
+    {
+      "entropy": 5.296469211578369,
+      "epoch": 5.306545153272577,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00028305109751923616,
+      "loss": 4.8177,
+      "mean_token_accuracy": 0.20388006865978242,
+      "num_tokens": 11672643.0,
+      "step": 6405
+    },
+    {
+      "entropy": 5.270711994171142,
+      "epoch": 5.310687655343828,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00028273173793702967,
+      "loss": 4.673,
+      "mean_token_accuracy": 0.2078327417373657,
+      "num_tokens": 11681449.0,
+      "step": 6410
+    },
+    {
+      "entropy": 5.301759338378906,
+      "epoch": 5.314830157415079,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002824123627590629,
+      "loss": 4.7568,
+      "mean_token_accuracy": 0.19922166019678117,
+      "num_tokens": 11690820.0,
+      "step": 6415
+    },
+    {
+      "entropy": 5.291653823852539,
+      "epoch": 5.31897265948633,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002820929726295504,
+      "loss": 4.7858,
+      "mean_token_accuracy": 0.2068773627281189,
+      "num_tokens": 11699705.0,
+      "step": 6420
+    },
+    {
+      "entropy": 5.257635831832886,
+      "epoch": 5.323115161557581,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002817735681927371,
+      "loss": 4.7267,
+      "mean_token_accuracy": 0.21190525144338607,
+      "num_tokens": 11709417.0,
+      "step": 6425
+    },
+    {
+      "entropy": 5.305531692504883,
+      "epoch": 5.327257663628831,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00028145415009289644,
+      "loss": 4.7662,
+      "mean_token_accuracy": 0.2035451725125313,
+      "num_tokens": 11718661.0,
+      "step": 6430
+    },
+    {
+      "entropy": 5.240819025039673,
+      "epoch": 5.3314001657000825,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002811347189743297,
+      "loss": 4.7448,
+      "mean_token_accuracy": 0.21049206256866454,
+      "num_tokens": 11727568.0,
+      "step": 6435
+    },
+    {
+      "entropy": 5.250747394561768,
+      "epoch": 5.335542667771334,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00028081527548136446,
+      "loss": 4.6853,
+      "mean_token_accuracy": 0.2216053858399391,
+      "num_tokens": 11736615.0,
+      "step": 6440
+    },
+    {
+      "entropy": 5.348236608505249,
+      "epoch": 5.339685169842585,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002804958202583531,
+      "loss": 4.8181,
+      "mean_token_accuracy": 0.19986798763275146,
+      "num_tokens": 11747458.0,
+      "step": 6445
+    },
+    {
+      "entropy": 5.277511358261108,
+      "epoch": 5.343827671913836,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002801763539496718,
+      "loss": 4.7878,
+      "mean_token_accuracy": 0.2081502467393875,
+      "num_tokens": 11756279.0,
+      "step": 6450
+    },
+    {
+      "entropy": 5.279990530014038,
+      "epoch": 5.347970173985087,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002798568771997188,
+      "loss": 4.7942,
+      "mean_token_accuracy": 0.2071585923433304,
+      "num_tokens": 11765022.0,
+      "step": 6455
+    },
+    {
+      "entropy": 5.2339942932128904,
+      "epoch": 5.352112676056338,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002795373906529137,
+      "loss": 4.7376,
+      "mean_token_accuracy": 0.20560838282108307,
+      "num_tokens": 11774704.0,
+      "step": 6460
+    },
+    {
+      "entropy": 5.248803615570068,
+      "epoch": 5.356255178127589,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002792178949536959,
+      "loss": 4.6784,
+      "mean_token_accuracy": 0.21611350923776626,
+      "num_tokens": 11782309.0,
+      "step": 6465
+    },
+    {
+      "entropy": 5.28652811050415,
+      "epoch": 5.36039768019884,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000278898390746523,
+      "loss": 4.7467,
+      "mean_token_accuracy": 0.20095686316490174,
+      "num_tokens": 11792595.0,
+      "step": 6470
+    },
+    {
+      "entropy": 5.2047077178955075,
+      "epoch": 5.364540182270091,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00027857887867587005,
+      "loss": 4.7269,
+      "mean_token_accuracy": 0.21140239089727403,
+      "num_tokens": 11801536.0,
+      "step": 6475
+    },
+    {
+      "entropy": 5.271708583831787,
+      "epoch": 5.368682684341342,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002782593593862276,
+      "loss": 4.8229,
+      "mean_token_accuracy": 0.19779271334409715,
+      "num_tokens": 11810222.0,
+      "step": 6480
+    },
+    {
+      "entropy": 5.317666244506836,
+      "epoch": 5.3728251864125935,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002779398335221011,
+      "loss": 4.8066,
+      "mean_token_accuracy": 0.20721431225538253,
+      "num_tokens": 11819310.0,
+      "step": 6485
+    },
+    {
+      "entropy": 5.305458688735962,
+      "epoch": 5.376967688483845,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.0002776203017280092,
+      "loss": 4.7703,
+      "mean_token_accuracy": 0.19982181042432784,
+      "num_tokens": 11827916.0,
+      "step": 6490
+    },
+    {
+      "entropy": 5.217341518402099,
+      "epoch": 5.381110190555095,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00027730076464848225,
+      "loss": 4.7654,
+      "mean_token_accuracy": 0.20862893313169478,
+      "num_tokens": 11836770.0,
+      "step": 6495
+    },
+    {
+      "entropy": 5.276216888427735,
+      "epoch": 5.385252692626346,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00027698122292806174,
+      "loss": 4.7006,
+      "mean_token_accuracy": 0.21164953708648682,
+      "num_tokens": 11845917.0,
+      "step": 6500
+    },
+    {
+      "epoch": 5.385252692626346,
+      "eval_entropy": 5.213927641097925,
+      "eval_loss": 5.769200801849365,
+      "eval_mean_token_accuracy": 0.16407465213524508,
+      "eval_num_tokens": 11845917.0,
+      "eval_runtime": 2.9494,
+      "eval_samples_per_second": 1270.426,
+      "eval_steps_per_second": 159.015,
+      "step": 6500
+    },
+    {
+      "entropy": 5.290333843231201,
+      "epoch": 5.389395194697597,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.000276661677211298,
+      "loss": 4.7403,
+      "mean_token_accuracy": 0.20341738760471345,
+      "num_tokens": 11855118.0,
+      "step": 6505
+    },
+    {
+      "entropy": 5.278094148635864,
+      "epoch": 5.393537696768848,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002763421281427497,
+      "loss": 4.6794,
+      "mean_token_accuracy": 0.21257141679525376,
+      "num_tokens": 11863793.0,
+      "step": 6510
+    },
+    {
+      "entropy": 5.368717813491822,
+      "epoch": 5.397680198840099,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002760225763669823,
+      "loss": 4.8171,
+      "mean_token_accuracy": 0.197501078248024,
+      "num_tokens": 11873194.0,
+      "step": 6515
+    },
+    {
+      "entropy": 5.341726636886596,
+      "epoch": 5.40182270091135,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00027570302252856666,
+      "loss": 4.7747,
+      "mean_token_accuracy": 0.20519590526819229,
+      "num_tokens": 11882566.0,
+      "step": 6520
+    },
+    {
+      "entropy": 5.2676441192626955,
+      "epoch": 5.4059652029826015,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00027538346727207767,
+      "loss": 4.7475,
+      "mean_token_accuracy": 0.21314287781715394,
+      "num_tokens": 11892267.0,
+      "step": 6525
+    },
+    {
+      "entropy": 5.272220420837402,
+      "epoch": 5.410107705053853,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002750639112420934,
+      "loss": 4.7716,
+      "mean_token_accuracy": 0.21124217808246612,
+      "num_tokens": 11901440.0,
+      "step": 6530
+    },
+    {
+      "entropy": 5.270874547958374,
+      "epoch": 5.414250207125104,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00027474435508319304,
+      "loss": 4.8396,
+      "mean_token_accuracy": 0.20556266158819197,
+      "num_tokens": 11911259.0,
+      "step": 6535
+    },
+    {
+      "entropy": 5.265343093872071,
+      "epoch": 5.418392709196355,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00027442479943995645,
+      "loss": 4.7941,
+      "mean_token_accuracy": 0.2035036563873291,
+      "num_tokens": 11920467.0,
+      "step": 6540
+    },
+    {
+      "entropy": 5.283535575866699,
+      "epoch": 5.422535211267606,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002741052449569624,
+      "loss": 4.8089,
+      "mean_token_accuracy": 0.19865555614233016,
+      "num_tokens": 11929971.0,
+      "step": 6545
+    },
+    {
+      "entropy": 5.330445003509522,
+      "epoch": 5.426677713338857,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002737856922787869,
+      "loss": 4.8088,
+      "mean_token_accuracy": 0.19926221221685408,
+      "num_tokens": 11938585.0,
+      "step": 6550
+    },
+    {
+      "entropy": 5.301173543930053,
+      "epoch": 5.430820215410108,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027346614205000277,
+      "loss": 4.7884,
+      "mean_token_accuracy": 0.20320066064596176,
+      "num_tokens": 11948264.0,
+      "step": 6555
+    },
+    {
+      "entropy": 5.329202175140381,
+      "epoch": 5.434962717481358,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00027314659491517777,
+      "loss": 4.7827,
+      "mean_token_accuracy": 0.2079697236418724,
+      "num_tokens": 11958459.0,
+      "step": 6560
+    },
+    {
+      "entropy": 5.296626996994019,
+      "epoch": 5.4391052195526095,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002728270515188733,
+      "loss": 4.7728,
+      "mean_token_accuracy": 0.20527158677577972,
+      "num_tokens": 11967994.0,
+      "step": 6565
+    },
+    {
+      "entropy": 5.325187683105469,
+      "epoch": 5.443247721623861,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002725075125056435,
+      "loss": 4.8235,
+      "mean_token_accuracy": 0.21111733317375184,
+      "num_tokens": 11976564.0,
+      "step": 6570
+    },
+    {
+      "entropy": 5.296580266952515,
+      "epoch": 5.447390223695112,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002721879785200333,
+      "loss": 4.7541,
+      "mean_token_accuracy": 0.21026979386806488,
+      "num_tokens": 11985682.0,
+      "step": 6575
+    },
+    {
+      "entropy": 5.34701886177063,
+      "epoch": 5.451532725766363,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002718684502065777,
+      "loss": 4.8138,
+      "mean_token_accuracy": 0.20367322415113448,
+      "num_tokens": 11995098.0,
+      "step": 6580
+    },
+    {
+      "entropy": 5.3261590003967285,
+      "epoch": 5.455675227837614,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00027154892820980024,
+      "loss": 4.8096,
+      "mean_token_accuracy": 0.206008443236351,
+      "num_tokens": 12004538.0,
+      "step": 6585
+    },
+    {
+      "entropy": 5.262662792205811,
+      "epoch": 5.459817729908865,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00027122941317421175,
+      "loss": 4.741,
+      "mean_token_accuracy": 0.21086378544569015,
+      "num_tokens": 12012568.0,
+      "step": 6590
+    },
+    {
+      "entropy": 5.287980222702027,
+      "epoch": 5.463960231980116,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000270909905744309,
+      "loss": 4.776,
+      "mean_token_accuracy": 0.20741475820541383,
+      "num_tokens": 12021934.0,
+      "step": 6595
+    },
+    {
+      "entropy": 5.313226222991943,
+      "epoch": 5.468102734051367,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00027059040656457316,
+      "loss": 4.8104,
+      "mean_token_accuracy": 0.2010733589529991,
+      "num_tokens": 12031158.0,
+      "step": 6600
+    },
+    {
+      "entropy": 5.3314722061157225,
+      "epoch": 5.472245236122618,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002702709162794692,
+      "loss": 4.8078,
+      "mean_token_accuracy": 0.20088913142681122,
+      "num_tokens": 12040392.0,
+      "step": 6605
+    },
+    {
+      "entropy": 5.248980331420898,
+      "epoch": 5.4763877381938695,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00026995143553344394,
+      "loss": 4.6481,
+      "mean_token_accuracy": 0.21935920119285585,
+      "num_tokens": 12048412.0,
+      "step": 6610
+    },
+    {
+      "entropy": 5.258455896377564,
+      "epoch": 5.48053024026512,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00026963196497092483,
+      "loss": 4.7625,
+      "mean_token_accuracy": 0.20619691014289857,
+      "num_tokens": 12057681.0,
+      "step": 6615
+    },
+    {
+      "entropy": 5.290913534164429,
+      "epoch": 5.484672742336371,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00026931250523631905,
+      "loss": 4.7451,
+      "mean_token_accuracy": 0.20713003873825073,
+      "num_tokens": 12066243.0,
+      "step": 6620
+    },
+    {
+      "entropy": 5.215484523773194,
+      "epoch": 5.488815244407622,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026899305697401175,
+      "loss": 4.7545,
+      "mean_token_accuracy": 0.20806889086961747,
+      "num_tokens": 12075312.0,
+      "step": 6625
+    },
+    {
+      "entropy": 5.231590509414673,
+      "epoch": 5.492957746478873,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002686736208283649,
+      "loss": 4.7629,
+      "mean_token_accuracy": 0.20990005433559417,
+      "num_tokens": 12083990.0,
+      "step": 6630
+    },
+    {
+      "entropy": 5.376721620559692,
+      "epoch": 5.497100248550124,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00026835419744371627,
+      "loss": 4.8732,
+      "mean_token_accuracy": 0.19839346706867217,
+      "num_tokens": 12093301.0,
+      "step": 6635
+    },
+    {
+      "entropy": 5.241463851928711,
+      "epoch": 5.501242750621375,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002680347874643775,
+      "loss": 4.6882,
+      "mean_token_accuracy": 0.21418087482452391,
+      "num_tokens": 12102054.0,
+      "step": 6640
+    },
+    {
+      "entropy": 5.262872982025146,
+      "epoch": 5.505385252692626,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002677153915346336,
+      "loss": 4.7708,
+      "mean_token_accuracy": 0.20341249853372573,
+      "num_tokens": 12111432.0,
+      "step": 6645
+    },
+    {
+      "entropy": 5.237018823623657,
+      "epoch": 5.5095277547638775,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002673960102987412,
+      "loss": 4.7032,
+      "mean_token_accuracy": 0.21349260658025743,
+      "num_tokens": 12120424.0,
+      "step": 6650
+    },
+    {
+      "entropy": 5.301366519927979,
+      "epoch": 5.513670256835129,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00026707664440092676,
+      "loss": 4.8377,
+      "mean_token_accuracy": 0.20626042485237123,
+      "num_tokens": 12130210.0,
+      "step": 6655
+    },
+    {
+      "entropy": 5.414148330688477,
+      "epoch": 5.51781275890638,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00026675729448538655,
+      "loss": 4.8269,
+      "mean_token_accuracy": 0.21095569282770157,
+      "num_tokens": 12139366.0,
+      "step": 6660
+    },
+    {
+      "entropy": 5.2740867137908936,
+      "epoch": 5.521955260977631,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00026643796119628404,
+      "loss": 4.6432,
+      "mean_token_accuracy": 0.21321782022714614,
+      "num_tokens": 12148385.0,
+      "step": 6665
+    },
+    {
+      "entropy": 5.290845537185669,
+      "epoch": 5.526097763048882,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002661186451777495,
+      "loss": 4.7822,
+      "mean_token_accuracy": 0.20492887496948242,
+      "num_tokens": 12156640.0,
+      "step": 6670
+    },
+    {
+      "entropy": 5.280693674087525,
+      "epoch": 5.530240265120133,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002657993470738781,
+      "loss": 4.8587,
+      "mean_token_accuracy": 0.19673615247011184,
+      "num_tokens": 12166532.0,
+      "step": 6675
+    },
+    {
+      "entropy": 5.24079852104187,
+      "epoch": 5.534382767191383,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026548006752872915,
+      "loss": 4.6934,
+      "mean_token_accuracy": 0.2146509751677513,
+      "num_tokens": 12175239.0,
+      "step": 6680
+    },
+    {
+      "entropy": 5.243715524673462,
+      "epoch": 5.538525269262634,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002651608071863244,
+      "loss": 4.7611,
+      "mean_token_accuracy": 0.20688466280698775,
+      "num_tokens": 12184588.0,
+      "step": 6685
+    },
+    {
+      "entropy": 5.333131456375122,
+      "epoch": 5.542667771333885,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00026484156669064665,
+      "loss": 4.8177,
+      "mean_token_accuracy": 0.20230551064014435,
+      "num_tokens": 12194140.0,
+      "step": 6690
+    },
+    {
+      "entropy": 5.310734224319458,
+      "epoch": 5.5468102734051365,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.000264522346685639,
+      "loss": 4.8193,
+      "mean_token_accuracy": 0.20696787536144257,
+      "num_tokens": 12203504.0,
+      "step": 6695
+    },
+    {
+      "entropy": 5.33381724357605,
+      "epoch": 5.550952775476388,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0002642031478152031,
+      "loss": 4.7782,
+      "mean_token_accuracy": 0.207833394408226,
+      "num_tokens": 12212594.0,
+      "step": 6700
+    },
+    {
+      "entropy": 5.3383890151977536,
+      "epoch": 5.555095277547639,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00026388397072319786,
+      "loss": 4.8162,
+      "mean_token_accuracy": 0.2045178234577179,
+      "num_tokens": 12222101.0,
+      "step": 6705
+    },
+    {
+      "entropy": 5.29089732170105,
+      "epoch": 5.55923777961889,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002635648160534385,
+      "loss": 4.8118,
+      "mean_token_accuracy": 0.20435990989208222,
+      "num_tokens": 12232118.0,
+      "step": 6710
+    },
+    {
+      "entropy": 5.352822351455688,
+      "epoch": 5.563380281690141,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026324568444969473,
+      "loss": 4.7439,
+      "mean_token_accuracy": 0.20706239342689514,
+      "num_tokens": 12241275.0,
+      "step": 6715
+    },
+    {
+      "entropy": 5.245583724975586,
+      "epoch": 5.567522783761392,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026292657655569,
+      "loss": 4.7375,
+      "mean_token_accuracy": 0.21279312521219254,
+      "num_tokens": 12251125.0,
+      "step": 6720
+    },
+    {
+      "entropy": 5.229356813430786,
+      "epoch": 5.571665285832643,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00026260749301509954,
+      "loss": 4.7241,
+      "mean_token_accuracy": 0.21198077648878097,
+      "num_tokens": 12260613.0,
+      "step": 6725
+    },
+    {
+      "entropy": 5.324583339691162,
+      "epoch": 5.575807787903894,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026228843447155005,
+      "loss": 4.733,
+      "mean_token_accuracy": 0.2107634127140045,
+      "num_tokens": 12269878.0,
+      "step": 6730
+    },
+    {
+      "entropy": 5.270222854614258,
+      "epoch": 5.5799502899751445,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00026196940156861736,
+      "loss": 4.7819,
+      "mean_token_accuracy": 0.20616225749254227,
+      "num_tokens": 12278616.0,
+      "step": 6735
+    },
+    {
+      "entropy": 5.194797945022583,
+      "epoch": 5.584092792046396,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00026165039494982555,
+      "loss": 4.7068,
+      "mean_token_accuracy": 0.2110671728849411,
+      "num_tokens": 12287104.0,
+      "step": 6740
+    },
+    {
+      "entropy": 5.187378549575806,
+      "epoch": 5.588235294117647,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00026133141525864605,
+      "loss": 4.7357,
+      "mean_token_accuracy": 0.20822987705469131,
+      "num_tokens": 12296503.0,
+      "step": 6745
+    },
+    {
+      "entropy": 5.294446992874145,
+      "epoch": 5.592377796188898,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00026101246313849557,
+      "loss": 4.6989,
+      "mean_token_accuracy": 0.2123148426413536,
+      "num_tokens": 12306298.0,
+      "step": 6750
+    },
+    {
+      "entropy": 5.2862865924835205,
+      "epoch": 5.596520298260149,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0002606935392327356,
+      "loss": 4.7664,
+      "mean_token_accuracy": 0.20611962229013442,
+      "num_tokens": 12314826.0,
+      "step": 6755
+    },
+    {
+      "entropy": 5.258157396316529,
+      "epoch": 5.6006628003314,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00026037464418467035,
+      "loss": 4.7079,
+      "mean_token_accuracy": 0.21357058137655258,
+      "num_tokens": 12323776.0,
+      "step": 6760
+    },
+    {
+      "entropy": 5.312329053878784,
+      "epoch": 5.604805302402651,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002600557786375459,
+      "loss": 4.7819,
+      "mean_token_accuracy": 0.20854859054088593,
+      "num_tokens": 12332374.0,
+      "step": 6765
+    },
+    {
+      "entropy": 5.217779874801636,
+      "epoch": 5.608947804473902,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00025973694323454916,
+      "loss": 4.6354,
+      "mean_token_accuracy": 0.21756067872047424,
+      "num_tokens": 12341007.0,
+      "step": 6770
+    },
+    {
+      "entropy": 5.175305271148682,
+      "epoch": 5.613090306545153,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00025941813861880575,
+      "loss": 4.7114,
+      "mean_token_accuracy": 0.20966241657733917,
+      "num_tokens": 12350330.0,
+      "step": 6775
+    },
+    {
+      "entropy": 5.267894315719604,
+      "epoch": 5.6172328086164045,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00025909936543337957,
+      "loss": 4.7519,
+      "mean_token_accuracy": 0.1993374451994896,
+      "num_tokens": 12358592.0,
+      "step": 6780
+    },
+    {
+      "entropy": 5.290813016891479,
+      "epoch": 5.621375310687656,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002587806243212709,
+      "loss": 4.7692,
+      "mean_token_accuracy": 0.20917081385850905,
+      "num_tokens": 12368195.0,
+      "step": 6785
+    },
+    {
+      "entropy": 5.241605234146118,
+      "epoch": 5.625517812758907,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002584619159254154,
+      "loss": 4.7124,
+      "mean_token_accuracy": 0.20834194272756576,
+      "num_tokens": 12377206.0,
+      "step": 6790
+    },
+    {
+      "entropy": 5.247827816009521,
+      "epoch": 5.629660314830158,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00025814324088868276,
+      "loss": 4.7593,
+      "mean_token_accuracy": 0.21013118624687194,
+      "num_tokens": 12386595.0,
+      "step": 6795
+    },
+    {
+      "entropy": 5.175970602035522,
+      "epoch": 5.633802816901408,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00025782459985387526,
+      "loss": 4.6569,
+      "mean_token_accuracy": 0.2180004358291626,
+      "num_tokens": 12395923.0,
+      "step": 6800
+    },
+    {
+      "entropy": 5.269517803192139,
+      "epoch": 5.637945318972659,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002575059934637268,
+      "loss": 4.7985,
+      "mean_token_accuracy": 0.20669761300086975,
+      "num_tokens": 12405094.0,
+      "step": 6805
+    },
+    {
+      "entropy": 5.268765878677368,
+      "epoch": 5.64208782104391,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002571874223609012,
+      "loss": 4.7972,
+      "mean_token_accuracy": 0.20435070544481276,
+      "num_tokens": 12414834.0,
+      "step": 6810
+    },
+    {
+      "entropy": 5.294848012924194,
+      "epoch": 5.646230323115161,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00025686888718799136,
+      "loss": 4.7513,
+      "mean_token_accuracy": 0.20469613671302794,
+      "num_tokens": 12423485.0,
+      "step": 6815
+    },
+    {
+      "entropy": 5.368587017059326,
+      "epoch": 5.6503728251864125,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002565503885875173,
+      "loss": 4.7935,
+      "mean_token_accuracy": 0.20704300552606583,
+      "num_tokens": 12432149.0,
+      "step": 6820
+    },
+    {
+      "entropy": 5.2622401237487795,
+      "epoch": 5.654515327257664,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00025623192720192564,
+      "loss": 4.7433,
+      "mean_token_accuracy": 0.2119109019637108,
+      "num_tokens": 12441272.0,
+      "step": 6825
+    },
+    {
+      "entropy": 5.190871524810791,
+      "epoch": 5.658657829328915,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002559135036735877,
+      "loss": 4.7388,
+      "mean_token_accuracy": 0.20155471414327622,
+      "num_tokens": 12449318.0,
+      "step": 6830
+    },
+    {
+      "entropy": 5.168833065032959,
+      "epoch": 5.662800331400166,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00025559511864479864,
+      "loss": 4.6898,
+      "mean_token_accuracy": 0.21231105625629426,
+      "num_tokens": 12458473.0,
+      "step": 6835
+    },
+    {
+      "entropy": 5.313192129135132,
+      "epoch": 5.666942833471417,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002552767727577758,
+      "loss": 4.8113,
+      "mean_token_accuracy": 0.20445662438869477,
+      "num_tokens": 12467703.0,
+      "step": 6840
+    },
+    {
+      "entropy": 5.292496681213379,
+      "epoch": 5.671085335542668,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00025495846665465774,
+      "loss": 4.6938,
+      "mean_token_accuracy": 0.21795116513967513,
+      "num_tokens": 12476166.0,
+      "step": 6845
+    },
+    {
+      "entropy": 5.235640621185302,
+      "epoch": 5.675227837613919,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002546402009775024,
+      "loss": 4.7403,
+      "mean_token_accuracy": 0.20330073386430741,
+      "num_tokens": 12484880.0,
+      "step": 6850
+    },
+    {
+      "entropy": 5.31177544593811,
+      "epoch": 5.679370339685169,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00025432197636828663,
+      "loss": 4.8103,
+      "mean_token_accuracy": 0.20381423085927963,
+      "num_tokens": 12494208.0,
+      "step": 6855
+    },
+    {
+      "entropy": 5.334811210632324,
+      "epoch": 5.683512841756421,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002540037934689042,
+      "loss": 4.8024,
+      "mean_token_accuracy": 0.20098040848970414,
+      "num_tokens": 12503647.0,
+      "step": 6860
+    },
+    {
+      "entropy": 5.295432138442993,
+      "epoch": 5.687655343827672,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00025368565292116475,
+      "loss": 4.8225,
+      "mean_token_accuracy": 0.20177613645792009,
+      "num_tokens": 12512869.0,
+      "step": 6865
+    },
+    {
+      "entropy": 5.28051609992981,
+      "epoch": 5.691797845898923,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002533675553667927,
+      "loss": 4.8747,
+      "mean_token_accuracy": 0.19059171974658967,
+      "num_tokens": 12523222.0,
+      "step": 6870
+    },
+    {
+      "entropy": 5.24097170829773,
+      "epoch": 5.695940347970174,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00025304950144742523,
+      "loss": 4.7456,
+      "mean_token_accuracy": 0.20784133225679396,
+      "num_tokens": 12532343.0,
+      "step": 6875
+    },
+    {
+      "entropy": 5.255422782897949,
+      "epoch": 5.700082850041425,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002527314918046122,
+      "loss": 4.7467,
+      "mean_token_accuracy": 0.21441746652126312,
+      "num_tokens": 12541508.0,
+      "step": 6880
+    },
+    {
+      "entropy": 5.222242641448974,
+      "epoch": 5.704225352112676,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0002524135270798136,
+      "loss": 4.7731,
+      "mean_token_accuracy": 0.20265263617038726,
+      "num_tokens": 12550837.0,
+      "step": 6885
+    },
+    {
+      "entropy": 5.259101152420044,
+      "epoch": 5.708367854183927,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00025209560791439914,
+      "loss": 4.7223,
+      "mean_token_accuracy": 0.21348682641983033,
+      "num_tokens": 12559859.0,
+      "step": 6890
+    },
+    {
+      "entropy": 5.279586315155029,
+      "epoch": 5.712510356255178,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002517777349496465,
+      "loss": 4.8096,
+      "mean_token_accuracy": 0.20708946287631988,
+      "num_tokens": 12569137.0,
+      "step": 6895
+    },
+    {
+      "entropy": 5.332545948028565,
+      "epoch": 5.716652858326429,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002514599088267401,
+      "loss": 4.8391,
+      "mean_token_accuracy": 0.20370080918073655,
+      "num_tokens": 12578111.0,
+      "step": 6900
+    },
+    {
+      "entropy": 5.30065131187439,
+      "epoch": 5.72079536039768,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00025114213018677004,
+      "loss": 4.7826,
+      "mean_token_accuracy": 0.21398544907569886,
+      "num_tokens": 12587604.0,
+      "step": 6905
+    },
+    {
+      "entropy": 5.328654146194458,
+      "epoch": 5.7249378624689315,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002508243996707305,
+      "loss": 4.7982,
+      "mean_token_accuracy": 0.2033779114484787,
+      "num_tokens": 12596620.0,
+      "step": 6910
+    },
+    {
+      "entropy": 5.252767944335938,
+      "epoch": 5.729080364540183,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00025050671791951887,
+      "loss": 4.7682,
+      "mean_token_accuracy": 0.20568756759166718,
+      "num_tokens": 12605452.0,
+      "step": 6915
+    },
+    {
+      "entropy": 5.195128536224365,
+      "epoch": 5.733222866611433,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002501890855739337,
+      "loss": 4.6654,
+      "mean_token_accuracy": 0.22127037048339843,
+      "num_tokens": 12614009.0,
+      "step": 6920
+    },
+    {
+      "entropy": 5.287421989440918,
+      "epoch": 5.737365368682684,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00024987150327467414,
+      "loss": 4.8201,
+      "mean_token_accuracy": 0.2010796323418617,
+      "num_tokens": 12624135.0,
+      "step": 6925
+    },
+    {
+      "entropy": 5.221401596069336,
+      "epoch": 5.741507870753935,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024955397166233855,
+      "loss": 4.6474,
+      "mean_token_accuracy": 0.22327282428741455,
+      "num_tokens": 12632870.0,
+      "step": 6930
+    },
+    {
+      "entropy": 5.304728364944458,
+      "epoch": 5.745650372825186,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024923649137742276,
+      "loss": 4.8549,
+      "mean_token_accuracy": 0.1950896918773651,
+      "num_tokens": 12643606.0,
+      "step": 6935
+    },
+    {
+      "entropy": 5.385456705093384,
+      "epoch": 5.749792874896437,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0002489190630603194,
+      "loss": 4.8834,
+      "mean_token_accuracy": 0.20502226054668427,
+      "num_tokens": 12652926.0,
+      "step": 6940
+    },
+    {
+      "entropy": 5.331468009948731,
+      "epoch": 5.753935376967688,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002486016873513159,
+      "loss": 4.8219,
+      "mean_token_accuracy": 0.20297979861497878,
+      "num_tokens": 12661841.0,
+      "step": 6945
+    },
+    {
+      "entropy": 5.257536315917969,
+      "epoch": 5.7580778790389395,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002482843648905937,
+      "loss": 4.7409,
+      "mean_token_accuracy": 0.2069641500711441,
+      "num_tokens": 12670527.0,
+      "step": 6950
+    },
+    {
+      "entropy": 5.216205167770386,
+      "epoch": 5.762220381110191,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002479670963182271,
+      "loss": 4.7365,
+      "mean_token_accuracy": 0.19854751229286194,
+      "num_tokens": 12680346.0,
+      "step": 6955
+    },
+    {
+      "entropy": 5.315979433059693,
+      "epoch": 5.766362883181442,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00024764988227418114,
+      "loss": 4.8273,
+      "mean_token_accuracy": 0.20946504771709443,
+      "num_tokens": 12691088.0,
+      "step": 6960
+    },
+    {
+      "entropy": 5.343829536437989,
+      "epoch": 5.770505385252693,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002473327233983116,
+      "loss": 4.7894,
+      "mean_token_accuracy": 0.20746862143278122,
+      "num_tokens": 12700296.0,
+      "step": 6965
+    },
+    {
+      "entropy": 5.241484355926514,
+      "epoch": 5.774647887323944,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002470156203303622,
+      "loss": 4.7882,
+      "mean_token_accuracy": 0.20888512581586838,
+      "num_tokens": 12709595.0,
+      "step": 6970
+    },
+    {
+      "entropy": 5.276812028884888,
+      "epoch": 5.778790389395195,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0002466985737099649,
+      "loss": 4.838,
+      "mean_token_accuracy": 0.20352406352758406,
+      "num_tokens": 12719052.0,
+      "step": 6975
+    },
+    {
+      "entropy": 5.237840700149536,
+      "epoch": 5.782932891466446,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002463815841766371,
+      "loss": 4.7033,
+      "mean_token_accuracy": 0.21847177892923356,
+      "num_tokens": 12727287.0,
+      "step": 6980
+    },
+    {
+      "entropy": 5.252689790725708,
+      "epoch": 5.787075393537696,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002460646523697813,
+      "loss": 4.7649,
+      "mean_token_accuracy": 0.2055829644203186,
+      "num_tokens": 12736511.0,
+      "step": 6985
+    },
+    {
+      "entropy": 5.295902395248413,
+      "epoch": 5.7912178956089475,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00024574777892868386,
+      "loss": 4.7758,
+      "mean_token_accuracy": 0.20809024274349214,
+      "num_tokens": 12745597.0,
+      "step": 6990
+    },
+    {
+      "entropy": 5.260382986068725,
+      "epoch": 5.795360397680199,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00024543096449251286,
+      "loss": 4.6362,
+      "mean_token_accuracy": 0.221256822347641,
+      "num_tokens": 12753492.0,
+      "step": 6995
+    },
+    {
+      "entropy": 5.3082959175109865,
+      "epoch": 5.79950289975145,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002451142097003177,
+      "loss": 4.7765,
+      "mean_token_accuracy": 0.21173641979694366,
+      "num_tokens": 12761999.0,
+      "step": 7000
+    },
+    {
+      "epoch": 5.79950289975145,
+      "eval_entropy": 5.159527343473455,
+      "eval_loss": 5.7473931312561035,
+      "eval_mean_token_accuracy": 0.1656088415525361,
+      "eval_num_tokens": 12761999.0,
+      "eval_runtime": 2.7553,
+      "eval_samples_per_second": 1359.941,
+      "eval_steps_per_second": 170.219,
+      "step": 7000
+    },
+    {
+      "entropy": 5.250266122817993,
+      "epoch": 5.803645401822701,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002447975151910276,
+      "loss": 4.6884,
+      "mean_token_accuracy": 0.20662099421024321,
+      "num_tokens": 12770922.0,
+      "step": 7005
+    },
+    {
+      "entropy": 5.225958204269409,
+      "epoch": 5.807787903893952,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00024448088160344974,
+      "loss": 4.72,
+      "mean_token_accuracy": 0.2077726110816002,
+      "num_tokens": 12779539.0,
+      "step": 7010
+    },
+    {
+      "entropy": 5.266984176635742,
+      "epoch": 5.811930405965203,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002441643095762688,
+      "loss": 4.7539,
+      "mean_token_accuracy": 0.20866499096155167,
+      "num_tokens": 12788121.0,
+      "step": 7015
+    },
+    {
+      "entropy": 5.206212854385376,
+      "epoch": 5.816072908036454,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000243847799748045,
+      "loss": 4.6301,
+      "mean_token_accuracy": 0.21100328713655472,
+      "num_tokens": 12797390.0,
+      "step": 7020
+    },
+    {
+      "entropy": 5.249676036834717,
+      "epoch": 5.820215410107705,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00024353135275721356,
+      "loss": 4.8644,
+      "mean_token_accuracy": 0.19687919616699218,
+      "num_tokens": 12807876.0,
+      "step": 7025
+    },
+    {
+      "entropy": 5.184282016754151,
+      "epoch": 5.824357912178956,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00024321496924208235,
+      "loss": 4.6805,
+      "mean_token_accuracy": 0.2075910523533821,
+      "num_tokens": 12816496.0,
+      "step": 7030
+    },
+    {
+      "entropy": 5.282375478744507,
+      "epoch": 5.8285004142502075,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00024289864984083166,
+      "loss": 4.7571,
+      "mean_token_accuracy": 0.21421819925308228,
+      "num_tokens": 12825925.0,
+      "step": 7035
+    },
+    {
+      "entropy": 5.330373096466064,
+      "epoch": 5.832642916321458,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002425823951915122,
+      "loss": 4.776,
+      "mean_token_accuracy": 0.20406203866004943,
+      "num_tokens": 12835479.0,
+      "step": 7040
+    },
+    {
+      "entropy": 5.227119112014771,
+      "epoch": 5.836785418392709,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002422662059320442,
+      "loss": 4.6764,
+      "mean_token_accuracy": 0.2194245144724846,
+      "num_tokens": 12844024.0,
+      "step": 7045
+    },
+    {
+      "entropy": 5.242313861846924,
+      "epoch": 5.84092792046396,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00024195008270021595,
+      "loss": 4.6767,
+      "mean_token_accuracy": 0.21089302152395248,
+      "num_tokens": 12852673.0,
+      "step": 7050
+    },
+    {
+      "entropy": 5.168107366561889,
+      "epoch": 5.845070422535211,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00024163402613368252,
+      "loss": 4.7042,
+      "mean_token_accuracy": 0.21519682556390762,
+      "num_tokens": 12861191.0,
+      "step": 7055
+    },
+    {
+      "entropy": 5.273849678039551,
+      "epoch": 5.849212924606462,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00024131803686996457,
+      "loss": 4.8483,
+      "mean_token_accuracy": 0.20502860397100447,
+      "num_tokens": 12870874.0,
+      "step": 7060
+    },
+    {
+      "entropy": 5.314899635314942,
+      "epoch": 5.853355426677713,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00024100211554644696,
+      "loss": 4.7741,
+      "mean_token_accuracy": 0.21026002764701843,
+      "num_tokens": 12879896.0,
+      "step": 7065
+    },
+    {
+      "entropy": 5.297897291183472,
+      "epoch": 5.857497928748964,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00024068626280037753,
+      "loss": 4.786,
+      "mean_token_accuracy": 0.20807335823774337,
+      "num_tokens": 12888665.0,
+      "step": 7070
+    },
+    {
+      "entropy": 5.261636590957641,
+      "epoch": 5.8616404308202155,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00024037047926886578,
+      "loss": 4.7416,
+      "mean_token_accuracy": 0.20277187824249268,
+      "num_tokens": 12897477.0,
+      "step": 7075
+    },
+    {
+      "entropy": 5.251101160049439,
+      "epoch": 5.865782932891467,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024005476558888172,
+      "loss": 4.794,
+      "mean_token_accuracy": 0.2007831260561943,
+      "num_tokens": 12905934.0,
+      "step": 7080
+    },
+    {
+      "entropy": 5.255609798431396,
+      "epoch": 5.869925434962718,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002397391223972541,
+      "loss": 4.7929,
+      "mean_token_accuracy": 0.20374300181865693,
+      "num_tokens": 12915092.0,
+      "step": 7085
+    },
+    {
+      "entropy": 5.2630064487457275,
+      "epoch": 5.874067937033969,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00023942355033066993,
+      "loss": 4.8721,
+      "mean_token_accuracy": 0.19899580031633377,
+      "num_tokens": 12924775.0,
+      "step": 7090
+    },
+    {
+      "entropy": 5.329388093948364,
+      "epoch": 5.87821043910522,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00023910805002567244,
+      "loss": 4.7789,
+      "mean_token_accuracy": 0.2048063576221466,
+      "num_tokens": 12933677.0,
+      "step": 7095
+    },
+    {
+      "entropy": 5.261180973052978,
+      "epoch": 5.882352941176471,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002387926221186603,
+      "loss": 4.8017,
+      "mean_token_accuracy": 0.2079474300146103,
+      "num_tokens": 12942416.0,
+      "step": 7100
+    },
+    {
+      "entropy": 5.231311798095703,
+      "epoch": 5.886495443247721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00023847726724588608,
+      "loss": 4.7718,
+      "mean_token_accuracy": 0.21066755801439285,
+      "num_tokens": 12952284.0,
+      "step": 7105
+    },
+    {
+      "entropy": 5.278716087341309,
+      "epoch": 5.890637945318972,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002381619860434549,
+      "loss": 4.8123,
+      "mean_token_accuracy": 0.19911128133535386,
+      "num_tokens": 12960694.0,
+      "step": 7110
+    },
+    {
+      "entropy": 5.215971040725708,
+      "epoch": 5.894780447390223,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00023784677914732356,
+      "loss": 4.727,
+      "mean_token_accuracy": 0.20931341648101806,
+      "num_tokens": 12969138.0,
+      "step": 7115
+    },
+    {
+      "entropy": 5.292342042922973,
+      "epoch": 5.8989229494614746,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00023753164719329868,
+      "loss": 4.766,
+      "mean_token_accuracy": 0.20421497970819474,
+      "num_tokens": 12978518.0,
+      "step": 7120
+    },
+    {
+      "entropy": 5.309631299972534,
+      "epoch": 5.903065451532726,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00023721659081703595,
+      "loss": 4.7856,
+      "mean_token_accuracy": 0.2164353221654892,
+      "num_tokens": 12987506.0,
+      "step": 7125
+    },
+    {
+      "entropy": 5.2704308986663815,
+      "epoch": 5.907207953603977,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023690161065403838,
+      "loss": 4.7667,
+      "mean_token_accuracy": 0.20384967178106309,
+      "num_tokens": 12996259.0,
+      "step": 7130
+    },
+    {
+      "entropy": 5.284243488311768,
+      "epoch": 5.911350455675228,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002365867073396555,
+      "loss": 4.7914,
+      "mean_token_accuracy": 0.20621232688426971,
+      "num_tokens": 13005430.0,
+      "step": 7135
+    },
+    {
+      "entropy": 5.2192955493927,
+      "epoch": 5.915492957746479,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023627188150908174,
+      "loss": 4.7414,
+      "mean_token_accuracy": 0.21523537784814833,
+      "num_tokens": 13014915.0,
+      "step": 7140
+    },
+    {
+      "entropy": 5.267714023590088,
+      "epoch": 5.91963545981773,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00023595713379735494,
+      "loss": 4.7483,
+      "mean_token_accuracy": 0.20747244358062744,
+      "num_tokens": 13023471.0,
+      "step": 7145
+    },
+    {
+      "entropy": 5.29262957572937,
+      "epoch": 5.923777961888981,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00023564246483935602,
+      "loss": 4.7364,
+      "mean_token_accuracy": 0.20276205390691757,
+      "num_tokens": 13033270.0,
+      "step": 7150
+    },
+    {
+      "entropy": 5.26424388885498,
+      "epoch": 5.927920463960232,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002353278752698063,
+      "loss": 4.7029,
+      "mean_token_accuracy": 0.2120548114180565,
+      "num_tokens": 13043300.0,
+      "step": 7155
+    },
+    {
+      "entropy": 5.261445045471191,
+      "epoch": 5.9320629660314825,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002350133657232676,
+      "loss": 4.7627,
+      "mean_token_accuracy": 0.20174376368522645,
+      "num_tokens": 13052152.0,
+      "step": 7160
+    },
+    {
+      "entropy": 5.286171960830688,
+      "epoch": 5.9362054681027345,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002346989368341399,
+      "loss": 4.8033,
+      "mean_token_accuracy": 0.20869386494159697,
+      "num_tokens": 13061704.0,
+      "step": 7165
+    },
+    {
+      "entropy": 5.280704736709595,
+      "epoch": 5.940347970173985,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023438458923666057,
+      "loss": 4.7209,
+      "mean_token_accuracy": 0.2152332365512848,
+      "num_tokens": 13071055.0,
+      "step": 7170
+    },
+    {
+      "entropy": 5.268754768371582,
+      "epoch": 5.944490472245236,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002340703235649032,
+      "loss": 4.8331,
+      "mean_token_accuracy": 0.1926100879907608,
+      "num_tokens": 13080023.0,
+      "step": 7175
+    },
+    {
+      "entropy": 5.263068819046021,
+      "epoch": 5.948632974316487,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00023375614045277593,
+      "loss": 4.7536,
+      "mean_token_accuracy": 0.20691772699356079,
+      "num_tokens": 13088690.0,
+      "step": 7180
+    },
+    {
+      "entropy": 5.232177972793579,
+      "epoch": 5.952775476387738,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00023344204053402047,
+      "loss": 4.7377,
+      "mean_token_accuracy": 0.21229761391878127,
+      "num_tokens": 13097116.0,
+      "step": 7185
+    },
+    {
+      "entropy": 5.343814706802368,
+      "epoch": 5.956917978458989,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00023312802444221066,
+      "loss": 4.7995,
+      "mean_token_accuracy": 0.20769918113946914,
+      "num_tokens": 13106463.0,
+      "step": 7190
+    },
+    {
+      "entropy": 5.273978662490845,
+      "epoch": 5.96106048053024,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002328140928107511,
+      "loss": 4.7045,
+      "mean_token_accuracy": 0.21413260698318481,
+      "num_tokens": 13115769.0,
+      "step": 7195
+    },
+    {
+      "entropy": 5.293670988082885,
+      "epoch": 5.965202982601491,
+      "grad_norm": 1.6875,
+      "learning_rate": 0.0002325002462728766,
+      "loss": 4.8058,
+      "mean_token_accuracy": 0.20858496129512788,
+      "num_tokens": 13124928.0,
+      "step": 7200
+    },
+    {
+      "entropy": 5.264481544494629,
+      "epoch": 5.9693454846727425,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00023218648546164945,
+      "loss": 4.7587,
+      "mean_token_accuracy": 0.20816877782344817,
+      "num_tokens": 13134106.0,
+      "step": 7205
+    },
+    {
+      "entropy": 5.401337671279907,
+      "epoch": 5.973487986743994,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002318728110099599,
+      "loss": 4.9463,
+      "mean_token_accuracy": 0.19887659698724747,
+      "num_tokens": 13143019.0,
+      "step": 7210
+    },
+    {
+      "entropy": 5.267350912094116,
+      "epoch": 5.977630488815245,
+      "grad_norm": 1.625,
+      "learning_rate": 0.00023155922355052339,
+      "loss": 4.6633,
+      "mean_token_accuracy": 0.223431359231472,
+      "num_tokens": 13152675.0,
+      "step": 7215
+    },
+    {
+      "entropy": 5.256755113601685,
+      "epoch": 5.981772990886496,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00023124572371588,
+      "loss": 4.6968,
+      "mean_token_accuracy": 0.2141074687242508,
+      "num_tokens": 13161094.0,
+      "step": 7220
+    },
+    {
+      "entropy": 5.22665810585022,
+      "epoch": 5.985915492957746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00023093231213839344,
+      "loss": 4.7801,
+      "mean_token_accuracy": 0.2072029694914818,
+      "num_tokens": 13170858.0,
+      "step": 7225
+    },
+    {
+      "entropy": 5.248539400100708,
+      "epoch": 5.990057995028997,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002306189894502488,
+      "loss": 4.8402,
+      "mean_token_accuracy": 0.1976972222328186,
+      "num_tokens": 13179668.0,
+      "step": 7230
+    },
+    {
+      "entropy": 5.278863763809204,
+      "epoch": 5.994200497100248,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00023030575628345246,
+      "loss": 4.7021,
+      "mean_token_accuracy": 0.2132765233516693,
+      "num_tokens": 13188312.0,
+      "step": 7235
+    },
+    {
+      "entropy": 5.254744529724121,
+      "epoch": 5.998342999171499,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022999261326982985,
+      "loss": 4.7474,
+      "mean_token_accuracy": 0.20551027208566666,
+      "num_tokens": 13196989.0,
+      "step": 7240
+    },
+    {
+      "entropy": 5.215828323364258,
+      "epoch": 6.0024855012427505,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00022967956104102445,
+      "loss": 4.6371,
+      "mean_token_accuracy": 0.21983437091112137,
+      "num_tokens": 13205830.0,
+      "step": 7245
+    },
+    {
+      "entropy": 5.325025272369385,
+      "epoch": 6.006628003314002,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00022936660022849714,
+      "loss": 4.5948,
+      "mean_token_accuracy": 0.22821232080459594,
+      "num_tokens": 13214711.0,
+      "step": 7250
+    },
+    {
+      "entropy": 5.262428140640258,
+      "epoch": 6.010770505385253,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022905373146352382,
+      "loss": 4.6602,
+      "mean_token_accuracy": 0.21241429150104524,
+      "num_tokens": 13223736.0,
+      "step": 7255
+    },
+    {
+      "entropy": 5.257147979736328,
+      "epoch": 6.014913007456504,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002287409553771952,
+      "loss": 4.556,
+      "mean_token_accuracy": 0.22737590819597245,
+      "num_tokens": 13232666.0,
+      "step": 7260
+    },
+    {
+      "entropy": 5.291457891464233,
+      "epoch": 6.019055509527755,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00022842827260041455,
+      "loss": 4.5848,
+      "mean_token_accuracy": 0.21761821508407592,
+      "num_tokens": 13241770.0,
+      "step": 7265
+    },
+    {
+      "entropy": 5.261249971389771,
+      "epoch": 6.023198011599006,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00022811568376389745,
+      "loss": 4.5326,
+      "mean_token_accuracy": 0.22425681203603745,
+      "num_tokens": 13250475.0,
+      "step": 7270
+    },
+    {
+      "entropy": 5.233007001876831,
+      "epoch": 6.027340513670257,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00022780318949816963,
+      "loss": 4.5183,
+      "mean_token_accuracy": 0.22254440933465958,
+      "num_tokens": 13259587.0,
+      "step": 7275
+    },
+    {
+      "entropy": 5.216541528701782,
+      "epoch": 6.031483015741508,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00022749079043356623,
+      "loss": 4.5404,
+      "mean_token_accuracy": 0.23734405487775803,
+      "num_tokens": 13269681.0,
+      "step": 7280
+    },
+    {
+      "entropy": 5.211581516265869,
+      "epoch": 6.0356255178127585,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00022717848720023022,
+      "loss": 4.5539,
+      "mean_token_accuracy": 0.2277751386165619,
+      "num_tokens": 13278186.0,
+      "step": 7285
+    },
+    {
+      "entropy": 5.25051851272583,
+      "epoch": 6.03976801988401,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022686628042811142,
+      "loss": 4.6462,
+      "mean_token_accuracy": 0.21404165476560594,
+      "num_tokens": 13287194.0,
+      "step": 7290
+    },
+    {
+      "entropy": 5.334251356124878,
+      "epoch": 6.043910521955261,
+      "grad_norm": 1.375,
+      "learning_rate": 0.000226554170746965,
+      "loss": 4.6707,
+      "mean_token_accuracy": 0.21294027268886567,
+      "num_tokens": 13296774.0,
+      "step": 7295
+    },
+    {
+      "entropy": 5.338882112503052,
+      "epoch": 6.048053024026512,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00022624215878635023,
+      "loss": 4.5887,
+      "mean_token_accuracy": 0.21931985318660735,
+      "num_tokens": 13306368.0,
+      "step": 7300
+    },
+    {
+      "entropy": 5.310757160186768,
+      "epoch": 6.052195526097763,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00022593024517562945,
+      "loss": 4.5551,
+      "mean_token_accuracy": 0.22974174320697785,
+      "num_tokens": 13315393.0,
+      "step": 7305
+    },
+    {
+      "entropy": 5.216650152206421,
+      "epoch": 6.056338028169014,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022561843054396636,
+      "loss": 4.5496,
+      "mean_token_accuracy": 0.22554152607917785,
+      "num_tokens": 13324384.0,
+      "step": 7310
+    },
+    {
+      "entropy": 5.265720653533935,
+      "epoch": 6.060480530240265,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00022530671552032521,
+      "loss": 4.6095,
+      "mean_token_accuracy": 0.2231447860598564,
+      "num_tokens": 13333191.0,
+      "step": 7315
+    },
+    {
+      "entropy": 5.269006586074829,
+      "epoch": 6.064623032311516,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002249951007334693,
+      "loss": 4.6016,
+      "mean_token_accuracy": 0.21682012677192689,
+      "num_tokens": 13342911.0,
+      "step": 7320
+    },
+    {
+      "entropy": 5.313802003860474,
+      "epoch": 6.068765534382767,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00022468358681195966,
+      "loss": 4.5911,
+      "mean_token_accuracy": 0.2220294862985611,
+      "num_tokens": 13352464.0,
+      "step": 7325
+    },
+    {
+      "entropy": 5.279155349731445,
+      "epoch": 6.072908036454018,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00022437217438415393,
+      "loss": 4.5871,
+      "mean_token_accuracy": 0.22435862571001053,
+      "num_tokens": 13361812.0,
+      "step": 7330
+    },
+    {
+      "entropy": 5.328032398223877,
+      "epoch": 6.0770505385252696,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00022406086407820503,
+      "loss": 4.6541,
+      "mean_token_accuracy": 0.21680645495653153,
+      "num_tokens": 13372080.0,
+      "step": 7335
+    },
+    {
+      "entropy": 5.283897733688354,
+      "epoch": 6.081193040596521,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022374965652205975,
+      "loss": 4.6976,
+      "mean_token_accuracy": 0.20982298403978347,
+      "num_tokens": 13380897.0,
+      "step": 7340
+    },
+    {
+      "entropy": 5.338993167877197,
+      "epoch": 6.085335542667772,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022343855234345796,
+      "loss": 4.6891,
+      "mean_token_accuracy": 0.21388355493545533,
+      "num_tokens": 13389885.0,
+      "step": 7345
+    },
+    {
+      "entropy": 5.288727903366089,
+      "epoch": 6.089478044739022,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00022312755216993065,
+      "loss": 4.6211,
+      "mean_token_accuracy": 0.21839348524808883,
+      "num_tokens": 13399734.0,
+      "step": 7350
+    },
+    {
+      "entropy": 5.224732303619385,
+      "epoch": 6.093620546810273,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00022281665662879903,
+      "loss": 4.5653,
+      "mean_token_accuracy": 0.22080505937337874,
+      "num_tokens": 13408641.0,
+      "step": 7355
+    },
+    {
+      "entropy": 5.2608020305633545,
+      "epoch": 6.097763048881524,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00022250586634717362,
+      "loss": 4.6026,
+      "mean_token_accuracy": 0.21388103663921357,
+      "num_tokens": 13418585.0,
+      "step": 7360
+    },
+    {
+      "entropy": 5.244136095046997,
+      "epoch": 6.101905550952775,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00022219518195195216,
+      "loss": 4.5367,
+      "mean_token_accuracy": 0.22432616204023362,
+      "num_tokens": 13427897.0,
+      "step": 7365
+    },
+    {
+      "entropy": 5.131761312484741,
+      "epoch": 6.106048053024026,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00022188460406981925,
+      "loss": 4.4993,
+      "mean_token_accuracy": 0.22558098286390305,
+      "num_tokens": 13437311.0,
+      "step": 7370
+    },
+    {
+      "entropy": 5.284880685806274,
+      "epoch": 6.1101905550952775,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00022157413332724436,
+      "loss": 4.5608,
+      "mean_token_accuracy": 0.22710221409797668,
+      "num_tokens": 13446359.0,
+      "step": 7375
+    },
+    {
+      "entropy": 5.326997709274292,
+      "epoch": 6.114333057166529,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00022126377035048072,
+      "loss": 4.6056,
+      "mean_token_accuracy": 0.22011455297470092,
+      "num_tokens": 13455302.0,
+      "step": 7380
+    },
+    {
+      "entropy": 5.365768575668335,
+      "epoch": 6.11847555923778,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0002209535157655646,
+      "loss": 4.6937,
+      "mean_token_accuracy": 0.21688085198402404,
+      "num_tokens": 13466391.0,
+      "step": 7385
+    },
+    {
+      "entropy": 5.246037006378174,
+      "epoch": 6.122618061309031,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00022064337019831322,
+      "loss": 4.547,
+      "mean_token_accuracy": 0.22545033246278762,
+      "num_tokens": 13476130.0,
+      "step": 7390
+    },
+    {
+      "entropy": 5.183640670776367,
+      "epoch": 6.126760563380282,
+      "grad_norm": 1.6171875,
+      "learning_rate": 0.00022033333427432422,
+      "loss": 4.5326,
+      "mean_token_accuracy": 0.22769198417663575,
+      "num_tokens": 13485105.0,
+      "step": 7395
+    },
+    {
+      "entropy": 5.284799098968506,
+      "epoch": 6.130903065451533,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002200234086189738,
+      "loss": 4.5988,
+      "mean_token_accuracy": 0.21623703986406326,
+      "num_tokens": 13494914.0,
+      "step": 7400
+    },
+    {
+      "entropy": 5.291166830062866,
+      "epoch": 6.135045567522784,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00021971359385741608,
+      "loss": 4.6312,
+      "mean_token_accuracy": 0.21725507229566574,
+      "num_tokens": 13504293.0,
+      "step": 7405
+    },
+    {
+      "entropy": 5.350364637374878,
+      "epoch": 6.139188069594034,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00021940389061458115,
+      "loss": 4.6935,
+      "mean_token_accuracy": 0.22431259900331496,
+      "num_tokens": 13513972.0,
+      "step": 7410
+    },
+    {
+      "entropy": 5.278038835525512,
+      "epoch": 6.1433305716652855,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002190942995151743,
+      "loss": 4.6089,
+      "mean_token_accuracy": 0.2185722753405571,
+      "num_tokens": 13522508.0,
+      "step": 7415
+    },
+    {
+      "entropy": 5.296834516525268,
+      "epoch": 6.147473073736537,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0002187848211836746,
+      "loss": 4.53,
+      "mean_token_accuracy": 0.22915603816509247,
+      "num_tokens": 13531235.0,
+      "step": 7420
+    },
+    {
+      "entropy": 5.256722116470337,
+      "epoch": 6.151615575807788,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002184754562443337,
+      "loss": 4.5707,
+      "mean_token_accuracy": 0.22529171109199525,
+      "num_tokens": 13541023.0,
+      "step": 7425
+    },
+    {
+      "entropy": 5.217341756820678,
+      "epoch": 6.155758077879039,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00021816620532117448,
+      "loss": 4.5852,
+      "mean_token_accuracy": 0.2248647004365921,
+      "num_tokens": 13550622.0,
+      "step": 7430
+    },
+    {
+      "entropy": 5.230591440200806,
+      "epoch": 6.15990057995029,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002178570690379899,
+      "loss": 4.6031,
+      "mean_token_accuracy": 0.21641309708356857,
+      "num_tokens": 13559423.0,
+      "step": 7435
+    },
+    {
+      "entropy": 5.235513544082641,
+      "epoch": 6.164043082021541,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00021754804801834144,
+      "loss": 4.5917,
+      "mean_token_accuracy": 0.21699417978525162,
+      "num_tokens": 13569306.0,
+      "step": 7440
+    },
+    {
+      "entropy": 5.228752660751343,
+      "epoch": 6.168185584092792,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0002172391428855585,
+      "loss": 4.5366,
+      "mean_token_accuracy": 0.22735673934221268,
+      "num_tokens": 13578367.0,
+      "step": 7445
+    },
+    {
+      "entropy": 5.265543508529663,
+      "epoch": 6.172328086164043,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00021693035426273633,
+      "loss": 4.5986,
+      "mean_token_accuracy": 0.21967096477746964,
+      "num_tokens": 13586930.0,
+      "step": 7450
+    },
+    {
+      "entropy": 5.246473407745361,
+      "epoch": 6.176470588235294,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.00021662168277273547,
+      "loss": 4.5681,
+      "mean_token_accuracy": 0.22939085811376572,
+      "num_tokens": 13595891.0,
+      "step": 7455
+    },
+    {
+      "entropy": 5.319870328903198,
+      "epoch": 6.1806130903065455,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002163131290381799,
+      "loss": 4.6599,
+      "mean_token_accuracy": 0.20967274755239487,
+      "num_tokens": 13605786.0,
+      "step": 7460
+    },
+    {
+      "entropy": 5.238808870315552,
+      "epoch": 6.184755592377797,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00021600469368145624,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.2280669927597046,
+      "num_tokens": 13614561.0,
+      "step": 7465
+    },
+    {
+      "entropy": 5.226732301712036,
+      "epoch": 6.188898094449047,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002156963773247124,
+      "loss": 4.5554,
+      "mean_token_accuracy": 0.22617974877357483,
+      "num_tokens": 13622853.0,
+      "step": 7470
+    },
+    {
+      "entropy": 5.20526967048645,
+      "epoch": 6.193040596520298,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002153881805898561,
+      "loss": 4.5398,
+      "mean_token_accuracy": 0.22647101283073426,
+      "num_tokens": 13631709.0,
+      "step": 7475
+    },
+    {
+      "entropy": 5.293169021606445,
+      "epoch": 6.197183098591549,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.0002150801040985539,
+      "loss": 4.63,
+      "mean_token_accuracy": 0.21966254264116286,
+      "num_tokens": 13640854.0,
+      "step": 7480
+    },
+    {
+      "entropy": 5.218788433074951,
+      "epoch": 6.2013256006628,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00021477214847222958,
+      "loss": 4.5758,
+      "mean_token_accuracy": 0.21710532903671265,
+      "num_tokens": 13649318.0,
+      "step": 7485
+    },
+    {
+      "entropy": 5.315838146209717,
+      "epoch": 6.205468102734051,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00021446431433206348,
+      "loss": 4.6349,
+      "mean_token_accuracy": 0.22002605497837066,
+      "num_tokens": 13658738.0,
+      "step": 7490
+    },
+    {
+      "entropy": 5.187892484664917,
+      "epoch": 6.209610604805302,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002141566022989907,
+      "loss": 4.5484,
+      "mean_token_accuracy": 0.2262681856751442,
+      "num_tokens": 13667315.0,
+      "step": 7495
+    },
+    {
+      "entropy": 5.282585573196411,
+      "epoch": 6.2137531068765535,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002138490129936998,
+      "loss": 4.6721,
+      "mean_token_accuracy": 0.21348128467798233,
+      "num_tokens": 13676665.0,
+      "step": 7500
+    },
+    {
+      "epoch": 6.2137531068765535,
+      "eval_entropy": 5.127327098521088,
+      "eval_loss": 5.749592304229736,
+      "eval_mean_token_accuracy": 0.16626126474853772,
+      "eval_num_tokens": 13676665.0,
+      "eval_runtime": 2.7442,
+      "eval_samples_per_second": 1365.431,
+      "eval_steps_per_second": 170.907,
+      "step": 7500
+    },
+    {
+      "entropy": 5.220932197570801,
+      "epoch": 6.217895608947805,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0002135415470366323,
+      "loss": 4.6065,
+      "mean_token_accuracy": 0.21874047368764876,
+      "num_tokens": 13685774.0,
+      "step": 7505
+    },
+    {
+      "entropy": 5.261872863769531,
+      "epoch": 6.222038111019056,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00021323420504798047,
+      "loss": 4.6324,
+      "mean_token_accuracy": 0.21970156878232955,
+      "num_tokens": 13695700.0,
+      "step": 7510
+    },
+    {
+      "entropy": 5.301397752761841,
+      "epoch": 6.226180613090307,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021292698764768675,
+      "loss": 4.6432,
+      "mean_token_accuracy": 0.21851994693279267,
+      "num_tokens": 13704675.0,
+      "step": 7515
+    },
+    {
+      "entropy": 5.2542356014251705,
+      "epoch": 6.230323115161558,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00021261989545544218,
+      "loss": 4.6623,
+      "mean_token_accuracy": 0.22553315609693528,
+      "num_tokens": 13714562.0,
+      "step": 7520
+    },
+    {
+      "entropy": 5.318307209014892,
+      "epoch": 6.234465617232809,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00021231292909068534,
+      "loss": 4.6448,
+      "mean_token_accuracy": 0.22140212655067443,
+      "num_tokens": 13723917.0,
+      "step": 7525
+    },
+    {
+      "entropy": 5.254926586151123,
+      "epoch": 6.238608119304059,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00021200608917260082,
+      "loss": 4.5832,
+      "mean_token_accuracy": 0.22523251920938492,
+      "num_tokens": 13732482.0,
+      "step": 7530
+    },
+    {
+      "entropy": 5.272995328903198,
+      "epoch": 6.24275062137531,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00021169937632011838,
+      "loss": 4.6548,
+      "mean_token_accuracy": 0.2194363296031952,
+      "num_tokens": 13742110.0,
+      "step": 7535
+    },
+    {
+      "entropy": 5.238206005096435,
+      "epoch": 6.2468931234465614,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00021139279115191123,
+      "loss": 4.574,
+      "mean_token_accuracy": 0.21389349400997162,
+      "num_tokens": 13750501.0,
+      "step": 7540
+    },
+    {
+      "entropy": 5.236702632904053,
+      "epoch": 6.2510356255178126,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00021108633428639534,
+      "loss": 4.545,
+      "mean_token_accuracy": 0.22685909420251846,
+      "num_tokens": 13759786.0,
+      "step": 7545
+    },
+    {
+      "entropy": 5.279770469665527,
+      "epoch": 6.255178127589064,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002107800063417275,
+      "loss": 4.6241,
+      "mean_token_accuracy": 0.21795655339956282,
+      "num_tokens": 13768476.0,
+      "step": 7550
+    },
+    {
+      "entropy": 5.29005618095398,
+      "epoch": 6.259320629660315,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002104738079358048,
+      "loss": 4.6586,
+      "mean_token_accuracy": 0.20849181562662125,
+      "num_tokens": 13778721.0,
+      "step": 7555
+    },
+    {
+      "entropy": 5.281201648712158,
+      "epoch": 6.263463131731566,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002101677396862628,
+      "loss": 4.6196,
+      "mean_token_accuracy": 0.22399465888738632,
+      "num_tokens": 13787108.0,
+      "step": 7560
+    },
+    {
+      "entropy": 5.1881067752838135,
+      "epoch": 6.267605633802817,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00020986180221047463,
+      "loss": 4.5398,
+      "mean_token_accuracy": 0.23230253010988236,
+      "num_tokens": 13795021.0,
+      "step": 7565
+    },
+    {
+      "entropy": 5.190041732788086,
+      "epoch": 6.271748135874068,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00020955599612554966,
+      "loss": 4.5887,
+      "mean_token_accuracy": 0.2193624496459961,
+      "num_tokens": 13804750.0,
+      "step": 7570
+    },
+    {
+      "entropy": 5.2463373184204105,
+      "epoch": 6.275890637945319,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00020925032204833206,
+      "loss": 4.5784,
+      "mean_token_accuracy": 0.22109659761190414,
+      "num_tokens": 13813910.0,
+      "step": 7575
+    },
+    {
+      "entropy": 5.329188394546509,
+      "epoch": 6.28003314001657,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00020894478059539995,
+      "loss": 4.5427,
+      "mean_token_accuracy": 0.2241484045982361,
+      "num_tokens": 13822832.0,
+      "step": 7580
+    },
+    {
+      "entropy": 5.204854440689087,
+      "epoch": 6.284175642087821,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00020863937238306375,
+      "loss": 4.5541,
+      "mean_token_accuracy": 0.2280479699373245,
+      "num_tokens": 13831951.0,
+      "step": 7585
+    },
+    {
+      "entropy": 5.172011041641236,
+      "epoch": 6.2883181441590725,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00020833409802736535,
+      "loss": 4.524,
+      "mean_token_accuracy": 0.23316972702741623,
+      "num_tokens": 13840422.0,
+      "step": 7590
+    },
+    {
+      "entropy": 5.306167030334473,
+      "epoch": 6.292460646230323,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00020802895814407636,
+      "loss": 4.6365,
+      "mean_token_accuracy": 0.22030848115682602,
+      "num_tokens": 13850903.0,
+      "step": 7595
+    },
+    {
+      "entropy": 5.244341468811035,
+      "epoch": 6.296603148301574,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002077239533486972,
+      "loss": 4.6811,
+      "mean_token_accuracy": 0.20490736216306688,
+      "num_tokens": 13859972.0,
+      "step": 7600
+    },
+    {
+      "entropy": 5.235301160812378,
+      "epoch": 6.300745650372825,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00020741908425645606,
+      "loss": 4.658,
+      "mean_token_accuracy": 0.21515794545412065,
+      "num_tokens": 13868980.0,
+      "step": 7605
+    },
+    {
+      "entropy": 5.259301996231079,
+      "epoch": 6.304888152444076,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00020711435148230707,
+      "loss": 4.5874,
+      "mean_token_accuracy": 0.21832506507635116,
+      "num_tokens": 13877901.0,
+      "step": 7610
+    },
+    {
+      "entropy": 5.245576858520508,
+      "epoch": 6.309030654515327,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00020680975564092968,
+      "loss": 4.5697,
+      "mean_token_accuracy": 0.21962837278842925,
+      "num_tokens": 13887081.0,
+      "step": 7615
+    },
+    {
+      "entropy": 5.283494472503662,
+      "epoch": 6.313173156586578,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00020650529734672686,
+      "loss": 4.693,
+      "mean_token_accuracy": 0.21509333699941635,
+      "num_tokens": 13896645.0,
+      "step": 7620
+    },
+    {
+      "entropy": 5.340816831588745,
+      "epoch": 6.317315658657829,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00020620097721382424,
+      "loss": 4.6349,
+      "mean_token_accuracy": 0.21796356588602067,
+      "num_tokens": 13905975.0,
+      "step": 7625
+    },
+    {
+      "entropy": 5.3276678085327145,
+      "epoch": 6.3214581607290805,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0002058967958560689,
+      "loss": 4.6067,
+      "mean_token_accuracy": 0.22121513932943343,
+      "num_tokens": 13914605.0,
+      "step": 7630
+    },
+    {
+      "entropy": 5.256007862091065,
+      "epoch": 6.325600662800332,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00020559275388702775,
+      "loss": 4.5442,
+      "mean_token_accuracy": 0.23139581084251404,
+      "num_tokens": 13924592.0,
+      "step": 7635
+    },
+    {
+      "entropy": 5.187183284759522,
+      "epoch": 6.329743164871583,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00020528885191998682,
+      "loss": 4.5649,
+      "mean_token_accuracy": 0.22332944571971894,
+      "num_tokens": 13933513.0,
+      "step": 7640
+    },
+    {
+      "entropy": 5.1399694919586185,
+      "epoch": 6.333885666942834,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00020498509056794952,
+      "loss": 4.4652,
+      "mean_token_accuracy": 0.23895961940288543,
+      "num_tokens": 13942173.0,
+      "step": 7645
+    },
+    {
+      "entropy": 5.177120351791382,
+      "epoch": 6.338028169014084,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00020468147044363556,
+      "loss": 4.4955,
+      "mean_token_accuracy": 0.22771447747945786,
+      "num_tokens": 13950205.0,
+      "step": 7650
+    },
+    {
+      "entropy": 5.22398190498352,
+      "epoch": 6.342170671085335,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00020437799215948017,
+      "loss": 4.5753,
+      "mean_token_accuracy": 0.22749822586774826,
+      "num_tokens": 13958956.0,
+      "step": 7655
+    },
+    {
+      "entropy": 5.209628582000732,
+      "epoch": 6.346313173156586,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002040746563276319,
+      "loss": 4.5665,
+      "mean_token_accuracy": 0.22033885568380357,
+      "num_tokens": 13967718.0,
+      "step": 7660
+    },
+    {
+      "entropy": 5.235432434082031,
+      "epoch": 6.350455675227837,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00020377146355995257,
+      "loss": 4.6617,
+      "mean_token_accuracy": 0.21480744183063508,
+      "num_tokens": 13976841.0,
+      "step": 7665
+    },
+    {
+      "entropy": 5.287872982025147,
+      "epoch": 6.3545981772990885,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00020346841446801495,
+      "loss": 4.5404,
+      "mean_token_accuracy": 0.22639259397983552,
+      "num_tokens": 13984946.0,
+      "step": 7670
+    },
+    {
+      "entropy": 5.257662773132324,
+      "epoch": 6.35874067937034,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00020316550966310222,
+      "loss": 4.6067,
+      "mean_token_accuracy": 0.21685410737991334,
+      "num_tokens": 13993521.0,
+      "step": 7675
+    },
+    {
+      "entropy": 5.183994293212891,
+      "epoch": 6.362883181441591,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002028627497562065,
+      "loss": 4.5771,
+      "mean_token_accuracy": 0.2181665539741516,
+      "num_tokens": 14002777.0,
+      "step": 7680
+    },
+    {
+      "entropy": 5.246474266052246,
+      "epoch": 6.367025683512842,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00020256013535802748,
+      "loss": 4.6261,
+      "mean_token_accuracy": 0.21209287494421006,
+      "num_tokens": 14012708.0,
+      "step": 7685
+    },
+    {
+      "entropy": 5.28727445602417,
+      "epoch": 6.371168185584093,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002022576670789717,
+      "loss": 4.6394,
+      "mean_token_accuracy": 0.2155505269765854,
+      "num_tokens": 14021088.0,
+      "step": 7690
+    },
+    {
+      "entropy": 5.280440044403076,
+      "epoch": 6.375310687655344,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002019553455291505,
+      "loss": 4.6378,
+      "mean_token_accuracy": 0.21615593284368514,
+      "num_tokens": 14031650.0,
+      "step": 7695
+    },
+    {
+      "entropy": 5.240458631515503,
+      "epoch": 6.379453189726595,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002016531713183797,
+      "loss": 4.6676,
+      "mean_token_accuracy": 0.21988083124160768,
+      "num_tokens": 14040741.0,
+      "step": 7700
+    },
+    {
+      "entropy": 5.242792797088623,
+      "epoch": 6.383595691797846,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00020135114505617752,
+      "loss": 4.6373,
+      "mean_token_accuracy": 0.2093031659722328,
+      "num_tokens": 14049913.0,
+      "step": 7705
+    },
+    {
+      "entropy": 5.277075576782226,
+      "epoch": 6.387738193869097,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00020104926735176393,
+      "loss": 4.5918,
+      "mean_token_accuracy": 0.22735825777053834,
+      "num_tokens": 14059583.0,
+      "step": 7710
+    },
+    {
+      "entropy": 5.327569150924683,
+      "epoch": 6.391880695940348,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00020074753881405949,
+      "loss": 4.5526,
+      "mean_token_accuracy": 0.22584011256694794,
+      "num_tokens": 14067376.0,
+      "step": 7715
+    },
+    {
+      "entropy": 5.247530269622803,
+      "epoch": 6.396023198011599,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002004459600516833,
+      "loss": 4.6272,
+      "mean_token_accuracy": 0.22265007048845292,
+      "num_tokens": 14076415.0,
+      "step": 7720
+    },
+    {
+      "entropy": 5.252097845077515,
+      "epoch": 6.40016570008285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00020014453167295298,
+      "loss": 4.6191,
+      "mean_token_accuracy": 0.21771289706230162,
+      "num_tokens": 14085418.0,
+      "step": 7725
+    },
+    {
+      "entropy": 5.246077394485473,
+      "epoch": 6.404308202154101,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00019984325428588229,
+      "loss": 4.6022,
+      "mean_token_accuracy": 0.22459561228752137,
+      "num_tokens": 14094454.0,
+      "step": 7730
+    },
+    {
+      "entropy": 5.269437408447265,
+      "epoch": 6.408450704225352,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00019954212849818077,
+      "loss": 4.5397,
+      "mean_token_accuracy": 0.23432922810316087,
+      "num_tokens": 14103611.0,
+      "step": 7735
+    },
+    {
+      "entropy": 5.17622013092041,
+      "epoch": 6.412593206296603,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00019924115491725197,
+      "loss": 4.4661,
+      "mean_token_accuracy": 0.23387826085090638,
+      "num_tokens": 14112145.0,
+      "step": 7740
+    },
+    {
+      "entropy": 5.237372732162475,
+      "epoch": 6.416735708367854,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019894033415019253,
+      "loss": 4.6056,
+      "mean_token_accuracy": 0.2221802607178688,
+      "num_tokens": 14121215.0,
+      "step": 7745
+    },
+    {
+      "entropy": 5.171102142333984,
+      "epoch": 6.420878210439105,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019863966680379086,
+      "loss": 4.4967,
+      "mean_token_accuracy": 0.22152459472417832,
+      "num_tokens": 14130106.0,
+      "step": 7750
+    },
+    {
+      "entropy": 5.18139157295227,
+      "epoch": 6.4250207125103564,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0001983391534845258,
+      "loss": 4.5424,
+      "mean_token_accuracy": 0.2322377920150757,
+      "num_tokens": 14139071.0,
+      "step": 7755
+    },
+    {
+      "entropy": 5.224069595336914,
+      "epoch": 6.4291632145816076,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00019803879479856547,
+      "loss": 4.5974,
+      "mean_token_accuracy": 0.21825987547636033,
+      "num_tokens": 14148018.0,
+      "step": 7760
+    },
+    {
+      "entropy": 5.2009124755859375,
+      "epoch": 6.433305716652859,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019773859135176626,
+      "loss": 4.5285,
+      "mean_token_accuracy": 0.21998629420995713,
+      "num_tokens": 14156369.0,
+      "step": 7765
+    },
+    {
+      "entropy": 5.215542888641357,
+      "epoch": 6.43744821872411,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001974385437496713,
+      "loss": 4.6106,
+      "mean_token_accuracy": 0.21984836757183074,
+      "num_tokens": 14165930.0,
+      "step": 7770
+    },
+    {
+      "entropy": 5.2183332443237305,
+      "epoch": 6.44159072079536,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00019713865259750945,
+      "loss": 4.5777,
+      "mean_token_accuracy": 0.228591625392437,
+      "num_tokens": 14175557.0,
+      "step": 7775
+    },
+    {
+      "entropy": 5.288492584228516,
+      "epoch": 6.445733222866611,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019683891850019391,
+      "loss": 4.65,
+      "mean_token_accuracy": 0.2170352444052696,
+      "num_tokens": 14185532.0,
+      "step": 7780
+    },
+    {
+      "entropy": 5.372134733200073,
+      "epoch": 6.449875724937862,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00019653934206232098,
+      "loss": 4.7328,
+      "mean_token_accuracy": 0.21203465312719344,
+      "num_tokens": 14194307.0,
+      "step": 7785
+    },
+    {
+      "entropy": 5.317110586166382,
+      "epoch": 6.454018227009113,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00019623992388816935,
+      "loss": 4.6817,
+      "mean_token_accuracy": 0.22098743617534639,
+      "num_tokens": 14203900.0,
+      "step": 7790
+    },
+    {
+      "entropy": 5.264908695220948,
+      "epoch": 6.458160729080364,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0001959406645816979,
+      "loss": 4.604,
+      "mean_token_accuracy": 0.22145358771085738,
+      "num_tokens": 14213232.0,
+      "step": 7795
+    },
+    {
+      "entropy": 5.2155252456665036,
+      "epoch": 6.4623032311516155,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00019564156474654554,
+      "loss": 4.545,
+      "mean_token_accuracy": 0.21945291459560395,
+      "num_tokens": 14221365.0,
+      "step": 7800
+    },
+    {
+      "entropy": 5.183708381652832,
+      "epoch": 6.466445733222867,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00019534262498602928,
+      "loss": 4.5722,
+      "mean_token_accuracy": 0.21912614554166793,
+      "num_tokens": 14229878.0,
+      "step": 7805
+    },
+    {
+      "entropy": 5.247611427307129,
+      "epoch": 6.470588235294118,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00019504384590314318,
+      "loss": 4.6163,
+      "mean_token_accuracy": 0.21504329293966293,
+      "num_tokens": 14239132.0,
+      "step": 7810
+    },
+    {
+      "entropy": 5.27608289718628,
+      "epoch": 6.474730737365369,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.00019474522810055745,
+      "loss": 4.6315,
+      "mean_token_accuracy": 0.22245015799999238,
+      "num_tokens": 14247116.0,
+      "step": 7815
+    },
+    {
+      "entropy": 5.237215900421143,
+      "epoch": 6.47887323943662,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00019444677218061673,
+      "loss": 4.5876,
+      "mean_token_accuracy": 0.22378402203321457,
+      "num_tokens": 14255423.0,
+      "step": 7820
+    },
+    {
+      "entropy": 5.22880802154541,
+      "epoch": 6.483015741507871,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.0001941484787453393,
+      "loss": 4.5576,
+      "mean_token_accuracy": 0.22750293612480163,
+      "num_tokens": 14263836.0,
+      "step": 7825
+    },
+    {
+      "entropy": 5.1975545406341555,
+      "epoch": 6.487158243579122,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00019385034839641558,
+      "loss": 4.6818,
+      "mean_token_accuracy": 0.21816913187503814,
+      "num_tokens": 14273460.0,
+      "step": 7830
+    },
+    {
+      "entropy": 5.288527727127075,
+      "epoch": 6.491300745650372,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001935523817352071,
+      "loss": 4.6991,
+      "mean_token_accuracy": 0.21707435250282286,
+      "num_tokens": 14282925.0,
+      "step": 7835
+    },
+    {
+      "entropy": 5.283282852172851,
+      "epoch": 6.4954432477216235,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019325457936274516,
+      "loss": 4.5817,
+      "mean_token_accuracy": 0.22622769176959992,
+      "num_tokens": 14292059.0,
+      "step": 7840
+    },
+    {
+      "entropy": 5.274545192718506,
+      "epoch": 6.499585749792875,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00019295694187972955,
+      "loss": 4.6371,
+      "mean_token_accuracy": 0.2125675469636917,
+      "num_tokens": 14301276.0,
+      "step": 7845
+    },
+    {
+      "entropy": 5.247177505493164,
+      "epoch": 6.503728251864126,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019265946988652783,
+      "loss": 4.6386,
+      "mean_token_accuracy": 0.21370143294334412,
+      "num_tokens": 14310259.0,
+      "step": 7850
+    },
+    {
+      "entropy": 5.227504730224609,
+      "epoch": 6.507870753935377,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0001923621639831733,
+      "loss": 4.5105,
+      "mean_token_accuracy": 0.22504902780056,
+      "num_tokens": 14318782.0,
+      "step": 7855
+    },
+    {
+      "entropy": 5.173471689224243,
+      "epoch": 6.512013256006628,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00019206502476936467,
+      "loss": 4.4963,
+      "mean_token_accuracy": 0.23206298500299455,
+      "num_tokens": 14327571.0,
+      "step": 7860
+    },
+    {
+      "entropy": 5.135555934906006,
+      "epoch": 6.516155758077879,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00019176805284446414,
+      "loss": 4.5319,
+      "mean_token_accuracy": 0.23313156962394715,
+      "num_tokens": 14336974.0,
+      "step": 7865
+    },
+    {
+      "entropy": 5.291125202178955,
+      "epoch": 6.52029826014913,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00019147124880749633,
+      "loss": 4.6926,
+      "mean_token_accuracy": 0.218401962518692,
+      "num_tokens": 14346367.0,
+      "step": 7870
+    },
+    {
+      "entropy": 5.287627267837524,
+      "epoch": 6.524440762220381,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00019117461325714768,
+      "loss": 4.6304,
+      "mean_token_accuracy": 0.22132983505725862,
+      "num_tokens": 14355641.0,
+      "step": 7875
+    },
+    {
+      "entropy": 5.246808195114136,
+      "epoch": 6.528583264291632,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019087814679176436,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.22451686710119248,
+      "num_tokens": 14364927.0,
+      "step": 7880
+    },
+    {
+      "entropy": 5.234672212600708,
+      "epoch": 6.5327257663628835,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019058185000935175,
+      "loss": 4.5399,
+      "mean_token_accuracy": 0.22587109208106995,
+      "num_tokens": 14373370.0,
+      "step": 7885
+    },
+    {
+      "entropy": 5.254017162322998,
+      "epoch": 6.536868268434135,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00019028572350757278,
+      "loss": 4.6124,
+      "mean_token_accuracy": 0.21654532849788666,
+      "num_tokens": 14381820.0,
+      "step": 7890
+    },
+    {
+      "entropy": 5.2422840118408205,
+      "epoch": 6.541010770505386,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018998976788374682,
+      "loss": 4.5875,
+      "mean_token_accuracy": 0.21863880306482314,
+      "num_tokens": 14391158.0,
+      "step": 7895
+    },
+    {
+      "entropy": 5.201485252380371,
+      "epoch": 6.545153272576636,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00018969398373484898,
+      "loss": 4.6299,
+      "mean_token_accuracy": 0.21829961985349655,
+      "num_tokens": 14399945.0,
+      "step": 7900
+    },
+    {
+      "entropy": 5.200627136230469,
+      "epoch": 6.549295774647887,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00018939837165750796,
+      "loss": 4.5447,
+      "mean_token_accuracy": 0.22442623525857924,
+      "num_tokens": 14410275.0,
+      "step": 7905
+    },
+    {
+      "entropy": 5.29403018951416,
+      "epoch": 6.553438276719138,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00018910293224800584,
+      "loss": 4.6482,
+      "mean_token_accuracy": 0.2173393338918686,
+      "num_tokens": 14420369.0,
+      "step": 7910
+    },
+    {
+      "entropy": 5.291232109069824,
+      "epoch": 6.557580778790389,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00018880766610227608,
+      "loss": 4.6234,
+      "mean_token_accuracy": 0.22409190386533737,
+      "num_tokens": 14429078.0,
+      "step": 7915
+    },
+    {
+      "entropy": 5.234523487091065,
+      "epoch": 6.56172328086164,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018851257381590264,
+      "loss": 4.5824,
+      "mean_token_accuracy": 0.22088503539562226,
+      "num_tokens": 14438920.0,
+      "step": 7920
+    },
+    {
+      "entropy": 5.292790508270263,
+      "epoch": 6.5658657829328915,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018821765598411917,
+      "loss": 4.7699,
+      "mean_token_accuracy": 0.20645501464605331,
+      "num_tokens": 14449164.0,
+      "step": 7925
+    },
+    {
+      "entropy": 5.241003036499023,
+      "epoch": 6.570008285004143,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00018792291320180693,
+      "loss": 4.6977,
+      "mean_token_accuracy": 0.2070661887526512,
+      "num_tokens": 14459418.0,
+      "step": 7930
+    },
+    {
+      "entropy": 5.294680643081665,
+      "epoch": 6.574150787075394,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00018762834606349455,
+      "loss": 4.5906,
+      "mean_token_accuracy": 0.22685577124357223,
+      "num_tokens": 14468691.0,
+      "step": 7935
+    },
+    {
+      "entropy": 5.322669315338135,
+      "epoch": 6.578293289146645,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00018733395516335588,
+      "loss": 4.6731,
+      "mean_token_accuracy": 0.21569546610116958,
+      "num_tokens": 14477936.0,
+      "step": 7940
+    },
+    {
+      "entropy": 5.285602855682373,
+      "epoch": 6.582435791217896,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00018703974109520976,
+      "loss": 4.6442,
+      "mean_token_accuracy": 0.22226325422525406,
+      "num_tokens": 14487191.0,
+      "step": 7945
+    },
+    {
+      "entropy": 5.2095410346984865,
+      "epoch": 6.586578293289147,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018674570445251798,
+      "loss": 4.566,
+      "mean_token_accuracy": 0.2255881741642952,
+      "num_tokens": 14495731.0,
+      "step": 7950
+    },
+    {
+      "entropy": 5.200072622299194,
+      "epoch": 6.590720795360397,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018645184582838465,
+      "loss": 4.5668,
+      "mean_token_accuracy": 0.22047847658395767,
+      "num_tokens": 14505009.0,
+      "step": 7955
+    },
+    {
+      "entropy": 5.211784410476684,
+      "epoch": 6.594863297431648,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00018615816581555466,
+      "loss": 4.614,
+      "mean_token_accuracy": 0.21996732503175737,
+      "num_tokens": 14513843.0,
+      "step": 7960
+    },
+    {
+      "entropy": 5.188229322433472,
+      "epoch": 6.5990057995028994,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0001858646650064128,
+      "loss": 4.6074,
+      "mean_token_accuracy": 0.22044946551322936,
+      "num_tokens": 14523405.0,
+      "step": 7965
+    },
+    {
+      "entropy": 5.254159069061279,
+      "epoch": 6.603148301574151,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018557134399298215,
+      "loss": 4.6781,
+      "mean_token_accuracy": 0.21682086437940598,
+      "num_tokens": 14532615.0,
+      "step": 7970
+    },
+    {
+      "entropy": 5.2646036624908445,
+      "epoch": 6.607290803645402,
+      "grad_norm": 1.671875,
+      "learning_rate": 0.0001852782033669233,
+      "loss": 4.6101,
+      "mean_token_accuracy": 0.22458707094192504,
+      "num_tokens": 14541297.0,
+      "step": 7975
+    },
+    {
+      "entropy": 5.216501903533936,
+      "epoch": 6.611433305716653,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00018498524371953295,
+      "loss": 4.556,
+      "mean_token_accuracy": 0.22257563024759291,
+      "num_tokens": 14549867.0,
+      "step": 7980
+    },
+    {
+      "entropy": 5.22313437461853,
+      "epoch": 6.615575807787904,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018469246564174275,
+      "loss": 4.6508,
+      "mean_token_accuracy": 0.20906404107809068,
+      "num_tokens": 14558708.0,
+      "step": 7985
+    },
+    {
+      "entropy": 5.215989065170288,
+      "epoch": 6.619718309859155,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.000184399869724118,
+      "loss": 4.648,
+      "mean_token_accuracy": 0.21317926198244094,
+      "num_tokens": 14567917.0,
+      "step": 7990
+    },
+    {
+      "entropy": 5.194528484344483,
+      "epoch": 6.623860811930406,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00018410745655685662,
+      "loss": 4.5161,
+      "mean_token_accuracy": 0.23143290728330612,
+      "num_tokens": 14576417.0,
+      "step": 7995
+    },
+    {
+      "entropy": 5.19383282661438,
+      "epoch": 6.628003314001657,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00018381522672978806,
+      "loss": 4.5967,
+      "mean_token_accuracy": 0.2205110549926758,
+      "num_tokens": 14585172.0,
+      "step": 8000
+    },
+    {
+      "epoch": 6.628003314001657,
+      "eval_entropy": 5.144060653409978,
+      "eval_loss": 5.7370734214782715,
+      "eval_mean_token_accuracy": 0.1679431346020719,
+      "eval_num_tokens": 14585172.0,
+      "eval_runtime": 2.746,
+      "eval_samples_per_second": 1364.549,
+      "eval_steps_per_second": 170.796,
+      "step": 8000
+    },
+    {
+      "entropy": 5.2945750713348385,
+      "epoch": 6.632145816072908,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00018352318083237167,
+      "loss": 4.6209,
+      "mean_token_accuracy": 0.21357694566249846,
+      "num_tokens": 14593758.0,
+      "step": 8005
+    },
+    {
+      "entropy": 5.269504880905151,
+      "epoch": 6.636288318144159,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00018323131945369603,
+      "loss": 4.5957,
+      "mean_token_accuracy": 0.2212613955140114,
+      "num_tokens": 14602558.0,
+      "step": 8010
+    },
+    {
+      "entropy": 5.292761898040771,
+      "epoch": 6.6404308202154105,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00018293964318247735,
+      "loss": 4.5895,
+      "mean_token_accuracy": 0.22187672108411788,
+      "num_tokens": 14611463.0,
+      "step": 8015
+    },
+    {
+      "entropy": 5.268460607528686,
+      "epoch": 6.644573322286661,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00018264815260705863,
+      "loss": 4.6303,
+      "mean_token_accuracy": 0.22261828631162645,
+      "num_tokens": 14619951.0,
+      "step": 8020
+    },
+    {
+      "entropy": 5.312491035461425,
+      "epoch": 6.648715824357912,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00018235684831540826,
+      "loss": 4.6601,
+      "mean_token_accuracy": 0.2227204129099846,
+      "num_tokens": 14629332.0,
+      "step": 8025
+    },
+    {
+      "entropy": 5.215784406661987,
+      "epoch": 6.652858326429163,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018206573089511862,
+      "loss": 4.6116,
+      "mean_token_accuracy": 0.22559183984994888,
+      "num_tokens": 14639010.0,
+      "step": 8030
+    },
+    {
+      "entropy": 5.217174816131592,
+      "epoch": 6.657000828500414,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00018177480093340564,
+      "loss": 4.644,
+      "mean_token_accuracy": 0.2131648376584053,
+      "num_tokens": 14648507.0,
+      "step": 8035
+    },
+    {
+      "entropy": 5.26403660774231,
+      "epoch": 6.661143330571665,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0001814840590171065,
+      "loss": 4.6395,
+      "mean_token_accuracy": 0.216891747713089,
+      "num_tokens": 14657892.0,
+      "step": 8040
+    },
+    {
+      "entropy": 5.276500272750854,
+      "epoch": 6.665285832642916,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018119350573267979,
+      "loss": 4.5962,
+      "mean_token_accuracy": 0.22690920978784562,
+      "num_tokens": 14666460.0,
+      "step": 8045
+    },
+    {
+      "entropy": 5.25149884223938,
+      "epoch": 6.669428334714167,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018090314166620302,
+      "loss": 4.5902,
+      "mean_token_accuracy": 0.2189852774143219,
+      "num_tokens": 14675046.0,
+      "step": 8050
+    },
+    {
+      "entropy": 5.219921970367432,
+      "epoch": 6.6735708367854185,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018061296740337225,
+      "loss": 4.6258,
+      "mean_token_accuracy": 0.2165866807103157,
+      "num_tokens": 14685055.0,
+      "step": 8055
+    },
+    {
+      "entropy": 5.248022747039795,
+      "epoch": 6.67771333885667,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00018032298352950077,
+      "loss": 4.5972,
+      "mean_token_accuracy": 0.2188133031129837,
+      "num_tokens": 14695371.0,
+      "step": 8060
+    },
+    {
+      "entropy": 5.225955820083618,
+      "epoch": 6.681855840927921,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00018003319062951756,
+      "loss": 4.569,
+      "mean_token_accuracy": 0.2223624899983406,
+      "num_tokens": 14703671.0,
+      "step": 8065
+    },
+    {
+      "entropy": 5.195835924148559,
+      "epoch": 6.685998342999172,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00017974358928796682,
+      "loss": 4.5951,
+      "mean_token_accuracy": 0.22712722718715667,
+      "num_tokens": 14712527.0,
+      "step": 8070
+    },
+    {
+      "entropy": 5.231344604492188,
+      "epoch": 6.690140845070422,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00017945418008900594,
+      "loss": 4.6311,
+      "mean_token_accuracy": 0.22212356179952622,
+      "num_tokens": 14720711.0,
+      "step": 8075
+    },
+    {
+      "entropy": 5.25670371055603,
+      "epoch": 6.694283347141674,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0001791649636164049,
+      "loss": 4.6664,
+      "mean_token_accuracy": 0.21566284000873565,
+      "num_tokens": 14729667.0,
+      "step": 8080
+    },
+    {
+      "entropy": 5.32373685836792,
+      "epoch": 6.698425849212924,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000178875940453545,
+      "loss": 4.612,
+      "mean_token_accuracy": 0.2260928839445114,
+      "num_tokens": 14738614.0,
+      "step": 8085
+    },
+    {
+      "entropy": 5.285801553726197,
+      "epoch": 6.702568351284175,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00017858711118341742,
+      "loss": 4.611,
+      "mean_token_accuracy": 0.22119891494512559,
+      "num_tokens": 14747724.0,
+      "step": 8090
+    },
+    {
+      "entropy": 5.189185285568238,
+      "epoch": 6.7067108533554265,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00017829847638862255,
+      "loss": 4.5783,
+      "mean_token_accuracy": 0.22308655232191085,
+      "num_tokens": 14757436.0,
+      "step": 8095
+    },
+    {
+      "entropy": 5.163452911376953,
+      "epoch": 6.710853355426678,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00017801003665136823,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.22859434187412261,
+      "num_tokens": 14765948.0,
+      "step": 8100
+    },
+    {
+      "entropy": 5.2175110340118405,
+      "epoch": 6.714995857497929,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00017772179255346883,
+      "loss": 4.5924,
+      "mean_token_accuracy": 0.21859526336193086,
+      "num_tokens": 14775397.0,
+      "step": 8105
+    },
+    {
+      "entropy": 5.2649805545806885,
+      "epoch": 6.71913835956918,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00017743374467634433,
+      "loss": 4.5547,
+      "mean_token_accuracy": 0.22480292171239852,
+      "num_tokens": 14783605.0,
+      "step": 8110
+    },
+    {
+      "entropy": 5.262083387374878,
+      "epoch": 6.723280861640431,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00017714589360101862,
+      "loss": 4.6719,
+      "mean_token_accuracy": 0.2111577272415161,
+      "num_tokens": 14792210.0,
+      "step": 8115
+    },
+    {
+      "entropy": 5.165537548065186,
+      "epoch": 6.727423363711682,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000176858239908119,
+      "loss": 4.5663,
+      "mean_token_accuracy": 0.21831904202699662,
+      "num_tokens": 14801186.0,
+      "step": 8120
+    },
+    {
+      "entropy": 5.171479225158691,
+      "epoch": 6.731565865782933,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00017657078417787414,
+      "loss": 4.5126,
+      "mean_token_accuracy": 0.2303812935948372,
+      "num_tokens": 14810100.0,
+      "step": 8125
+    },
+    {
+      "entropy": 5.1626139163970945,
+      "epoch": 6.735708367854184,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017628352699011396,
+      "loss": 4.4932,
+      "mean_token_accuracy": 0.22342629581689835,
+      "num_tokens": 14819335.0,
+      "step": 8130
+    },
+    {
+      "entropy": 5.184713125228882,
+      "epoch": 6.739850869925435,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001759964689242674,
+      "loss": 4.6115,
+      "mean_token_accuracy": 0.22678097039461137,
+      "num_tokens": 14828686.0,
+      "step": 8135
+    },
+    {
+      "entropy": 5.233674144744873,
+      "epoch": 6.743993371996686,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001757096105593619,
+      "loss": 4.6202,
+      "mean_token_accuracy": 0.21709106266498565,
+      "num_tokens": 14838312.0,
+      "step": 8140
+    },
+    {
+      "entropy": 5.149096870422364,
+      "epoch": 6.748135874067937,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00017542295247402234,
+      "loss": 4.5595,
+      "mean_token_accuracy": 0.22249870449304582,
+      "num_tokens": 14846838.0,
+      "step": 8145
+    },
+    {
+      "entropy": 5.202677154541016,
+      "epoch": 6.752278376139188,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00017513649524646919,
+      "loss": 4.6182,
+      "mean_token_accuracy": 0.21352985352277756,
+      "num_tokens": 14857427.0,
+      "step": 8150
+    },
+    {
+      "entropy": 5.231053304672241,
+      "epoch": 6.756420878210439,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001748502394545181,
+      "loss": 4.6142,
+      "mean_token_accuracy": 0.2143697887659073,
+      "num_tokens": 14866244.0,
+      "step": 8155
+    },
+    {
+      "entropy": 5.2318687915802,
+      "epoch": 6.76056338028169,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001745641856755783,
+      "loss": 4.6272,
+      "mean_token_accuracy": 0.2168770670890808,
+      "num_tokens": 14875697.0,
+      "step": 8160
+    },
+    {
+      "entropy": 5.213436222076416,
+      "epoch": 6.764705882352941,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00017427833448665136,
+      "loss": 4.6431,
+      "mean_token_accuracy": 0.22060779482126236,
+      "num_tokens": 14884650.0,
+      "step": 8165
+    },
+    {
+      "entropy": 5.221727609634399,
+      "epoch": 6.768848384424192,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00017399268646433065,
+      "loss": 4.5726,
+      "mean_token_accuracy": 0.22035471200942994,
+      "num_tokens": 14894058.0,
+      "step": 8170
+    },
+    {
+      "entropy": 5.291379785537719,
+      "epoch": 6.772990886495443,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00017370724218479912,
+      "loss": 4.6928,
+      "mean_token_accuracy": 0.21716551035642623,
+      "num_tokens": 14903219.0,
+      "step": 8175
+    },
+    {
+      "entropy": 5.280435705184937,
+      "epoch": 6.7771333885666944,
+      "grad_norm": 1.5234375,
+      "learning_rate": 0.00017342200222382934,
+      "loss": 4.6104,
+      "mean_token_accuracy": 0.21606069803237915,
+      "num_tokens": 14913051.0,
+      "step": 8180
+    },
+    {
+      "entropy": 5.284905195236206,
+      "epoch": 6.781275890637946,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00017313696715678134,
+      "loss": 4.6263,
+      "mean_token_accuracy": 0.2211444079875946,
+      "num_tokens": 14921777.0,
+      "step": 8185
+    },
+    {
+      "entropy": 5.336038494110108,
+      "epoch": 6.785418392709197,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.000172852137558602,
+      "loss": 4.7612,
+      "mean_token_accuracy": 0.20792590975761413,
+      "num_tokens": 14931558.0,
+      "step": 8190
+    },
+    {
+      "entropy": 5.2495917797088625,
+      "epoch": 6.789560894780448,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00017256751400382384,
+      "loss": 4.6749,
+      "mean_token_accuracy": 0.2186842069029808,
+      "num_tokens": 14940584.0,
+      "step": 8195
+    },
+    {
+      "entropy": 5.260048294067383,
+      "epoch": 6.793703396851699,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00017228309706656354,
+      "loss": 4.6003,
+      "mean_token_accuracy": 0.2234319806098938,
+      "num_tokens": 14950830.0,
+      "step": 8200
+    },
+    {
+      "entropy": 5.309694099426269,
+      "epoch": 6.797845898922949,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001719988873205213,
+      "loss": 4.6046,
+      "mean_token_accuracy": 0.2206121563911438,
+      "num_tokens": 14958990.0,
+      "step": 8205
+    },
+    {
+      "entropy": 5.258207225799561,
+      "epoch": 6.8019884009942,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00017171488533897916,
+      "loss": 4.6389,
+      "mean_token_accuracy": 0.216607928276062,
+      "num_tokens": 14967451.0,
+      "step": 8210
+    },
+    {
+      "entropy": 5.220820093154908,
+      "epoch": 6.806130903065451,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00017143109169480005,
+      "loss": 4.5703,
+      "mean_token_accuracy": 0.2230973109602928,
+      "num_tokens": 14976157.0,
+      "step": 8215
+    },
+    {
+      "entropy": 5.277642917633057,
+      "epoch": 6.810273405136702,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017114750696042695,
+      "loss": 4.6916,
+      "mean_token_accuracy": 0.211100971698761,
+      "num_tokens": 14985591.0,
+      "step": 8220
+    },
+    {
+      "entropy": 5.277077102661133,
+      "epoch": 6.8144159072079535,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00017086413170788107,
+      "loss": 4.5868,
+      "mean_token_accuracy": 0.22545621395111085,
+      "num_tokens": 14994513.0,
+      "step": 8225
+    },
+    {
+      "entropy": 5.249056625366211,
+      "epoch": 6.818558409279205,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00017058096650876143,
+      "loss": 4.6555,
+      "mean_token_accuracy": 0.21752652078866958,
+      "num_tokens": 15003252.0,
+      "step": 8230
+    },
+    {
+      "entropy": 5.268651342391967,
+      "epoch": 6.822700911350456,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017029801193424313,
+      "loss": 4.5678,
+      "mean_token_accuracy": 0.21832710206508638,
+      "num_tokens": 15012342.0,
+      "step": 8235
+    },
+    {
+      "entropy": 5.17280683517456,
+      "epoch": 6.826843413421707,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017001526855507632,
+      "loss": 4.5248,
+      "mean_token_accuracy": 0.22667909115552903,
+      "num_tokens": 15021336.0,
+      "step": 8240
+    },
+    {
+      "entropy": 5.232009410858154,
+      "epoch": 6.830985915492958,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00016973273694158555,
+      "loss": 4.5752,
+      "mean_token_accuracy": 0.21583533883094788,
+      "num_tokens": 15031016.0,
+      "step": 8245
+    },
+    {
+      "entropy": 5.281693077087402,
+      "epoch": 6.835128417564209,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00016945041766366773,
+      "loss": 4.5846,
+      "mean_token_accuracy": 0.22162794917821885,
+      "num_tokens": 15039181.0,
+      "step": 8250
+    },
+    {
+      "entropy": 5.255547618865966,
+      "epoch": 6.83927091963546,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00016916831129079187,
+      "loss": 4.647,
+      "mean_token_accuracy": 0.2128545254468918,
+      "num_tokens": 15048563.0,
+      "step": 8255
+    },
+    {
+      "entropy": 5.248698711395264,
+      "epoch": 6.84341342170671,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001688864183919973,
+      "loss": 4.5936,
+      "mean_token_accuracy": 0.22442127764225006,
+      "num_tokens": 15056960.0,
+      "step": 8260
+    },
+    {
+      "entropy": 5.307019329071045,
+      "epoch": 6.8475559237779615,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00016860473953589266,
+      "loss": 4.6347,
+      "mean_token_accuracy": 0.21388418227434158,
+      "num_tokens": 15065645.0,
+      "step": 8265
+    },
+    {
+      "entropy": 5.223530387878418,
+      "epoch": 6.851698425849213,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00016832327529065522,
+      "loss": 4.5822,
+      "mean_token_accuracy": 0.22318441718816756,
+      "num_tokens": 15074544.0,
+      "step": 8270
+    },
+    {
+      "entropy": 5.267363739013672,
+      "epoch": 6.855840927920464,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001680420262240289,
+      "loss": 4.6343,
+      "mean_token_accuracy": 0.21753862798213958,
+      "num_tokens": 15083543.0,
+      "step": 8275
+    },
+    {
+      "entropy": 5.204693603515625,
+      "epoch": 6.859983429991715,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00016776099290332397,
+      "loss": 4.6145,
+      "mean_token_accuracy": 0.2235179975628853,
+      "num_tokens": 15092291.0,
+      "step": 8280
+    },
+    {
+      "entropy": 5.3212086200714115,
+      "epoch": 6.864125932062966,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00016748017589541525,
+      "loss": 4.6697,
+      "mean_token_accuracy": 0.2193456619977951,
+      "num_tokens": 15100875.0,
+      "step": 8285
+    },
+    {
+      "entropy": 5.275527429580689,
+      "epoch": 6.868268434134217,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0001671995757667414,
+      "loss": 4.6246,
+      "mean_token_accuracy": 0.22207115739583969,
+      "num_tokens": 15111385.0,
+      "step": 8290
+    },
+    {
+      "entropy": 5.325754880905151,
+      "epoch": 6.872410936205468,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00016691919308330343,
+      "loss": 4.6412,
+      "mean_token_accuracy": 0.2226441338658333,
+      "num_tokens": 15121153.0,
+      "step": 8295
+    },
+    {
+      "entropy": 5.278840351104736,
+      "epoch": 6.876553438276719,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00016663902841066404,
+      "loss": 4.6258,
+      "mean_token_accuracy": 0.21953531950712205,
+      "num_tokens": 15130132.0,
+      "step": 8300
+    },
+    {
+      "entropy": 5.229125213623047,
+      "epoch": 6.88069594034797,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00016635908231394587,
+      "loss": 4.6111,
+      "mean_token_accuracy": 0.2153362438082695,
+      "num_tokens": 15138878.0,
+      "step": 8305
+    },
+    {
+      "entropy": 5.198756742477417,
+      "epoch": 6.8848384424192215,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0001660793553578307,
+      "loss": 4.6868,
+      "mean_token_accuracy": 0.20835813581943513,
+      "num_tokens": 15148727.0,
+      "step": 8310
+    },
+    {
+      "entropy": 5.257393503189087,
+      "epoch": 6.888980944490473,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00016579984810655856,
+      "loss": 4.6404,
+      "mean_token_accuracy": 0.21736776530742646,
+      "num_tokens": 15158107.0,
+      "step": 8315
+    },
+    {
+      "entropy": 5.275184488296508,
+      "epoch": 6.893123446561724,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00016552056112392594,
+      "loss": 4.6178,
+      "mean_token_accuracy": 0.21456918865442276,
+      "num_tokens": 15168101.0,
+      "step": 8320
+    },
+    {
+      "entropy": 5.249782991409302,
+      "epoch": 6.897265948632974,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0001652414949732854,
+      "loss": 4.5573,
+      "mean_token_accuracy": 0.22505220770835876,
+      "num_tokens": 15176376.0,
+      "step": 8325
+    },
+    {
+      "entropy": 5.2404684066772464,
+      "epoch": 6.901408450704225,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00016496265021754365,
+      "loss": 4.5925,
+      "mean_token_accuracy": 0.2170558288693428,
+      "num_tokens": 15184936.0,
+      "step": 8330
+    },
+    {
+      "entropy": 5.271342658996582,
+      "epoch": 6.905550952775476,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00016468402741916124,
+      "loss": 4.6586,
+      "mean_token_accuracy": 0.22344124019145967,
+      "num_tokens": 15194846.0,
+      "step": 8335
+    },
+    {
+      "entropy": 5.263687086105347,
+      "epoch": 6.909693454846727,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001644056271401506,
+      "loss": 4.6187,
+      "mean_token_accuracy": 0.22206373363733292,
+      "num_tokens": 15204543.0,
+      "step": 8340
+    },
+    {
+      "entropy": 5.221840810775757,
+      "epoch": 6.913835956917978,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00016412744994207573,
+      "loss": 4.5897,
+      "mean_token_accuracy": 0.215163554251194,
+      "num_tokens": 15213459.0,
+      "step": 8345
+    },
+    {
+      "entropy": 5.209072399139404,
+      "epoch": 6.9179784589892295,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00016384949638605025,
+      "loss": 4.6864,
+      "mean_token_accuracy": 0.20790564268827438,
+      "num_tokens": 15223841.0,
+      "step": 8350
+    },
+    {
+      "entropy": 5.225527238845825,
+      "epoch": 6.922120961060481,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00016357176703273696,
+      "loss": 4.6187,
+      "mean_token_accuracy": 0.22101123183965682,
+      "num_tokens": 15233594.0,
+      "step": 8355
+    },
+    {
+      "entropy": 5.251284885406494,
+      "epoch": 6.926263463131732,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0001632942624423463,
+      "loss": 4.5643,
+      "mean_token_accuracy": 0.22933652848005295,
+      "num_tokens": 15242876.0,
+      "step": 8360
+    },
+    {
+      "entropy": 5.297107553482055,
+      "epoch": 6.930405965202983,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00016301698317463525,
+      "loss": 4.6565,
+      "mean_token_accuracy": 0.2228442072868347,
+      "num_tokens": 15251581.0,
+      "step": 8365
+    },
+    {
+      "entropy": 5.252490663528443,
+      "epoch": 6.934548467274234,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00016273992978890658,
+      "loss": 4.5084,
+      "mean_token_accuracy": 0.22431502342224122,
+      "num_tokens": 15260601.0,
+      "step": 8370
+    },
+    {
+      "entropy": 5.232750654220581,
+      "epoch": 6.938690969345485,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001624631028440071,
+      "loss": 4.5322,
+      "mean_token_accuracy": 0.22127106189727783,
+      "num_tokens": 15270123.0,
+      "step": 8375
+    },
+    {
+      "entropy": 5.301280069351196,
+      "epoch": 6.942833471416735,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0001621865028983271,
+      "loss": 4.6664,
+      "mean_token_accuracy": 0.2162109360098839,
+      "num_tokens": 15278623.0,
+      "step": 8380
+    },
+    {
+      "entropy": 5.187017822265625,
+      "epoch": 6.946975973487987,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001619101305097988,
+      "loss": 4.569,
+      "mean_token_accuracy": 0.22274162173271178,
+      "num_tokens": 15287789.0,
+      "step": 8385
+    },
+    {
+      "entropy": 5.105927991867065,
+      "epoch": 6.9511184755592375,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.00016163398623589563,
+      "loss": 4.5276,
+      "mean_token_accuracy": 0.23134084939956664,
+      "num_tokens": 15296266.0,
+      "step": 8390
+    },
+    {
+      "entropy": 5.268940114974976,
+      "epoch": 6.955260977630489,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00016135807063363074,
+      "loss": 4.6269,
+      "mean_token_accuracy": 0.21198562532663345,
+      "num_tokens": 15304785.0,
+      "step": 8395
+    },
+    {
+      "entropy": 5.171991634368896,
+      "epoch": 6.95940347970174,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00016108238425955584,
+      "loss": 4.5327,
+      "mean_token_accuracy": 0.22577450573444366,
+      "num_tokens": 15313727.0,
+      "step": 8400
+    },
+    {
+      "entropy": 5.254316186904907,
+      "epoch": 6.963545981772991,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0001608069276697608,
+      "loss": 4.7158,
+      "mean_token_accuracy": 0.21332326233386995,
+      "num_tokens": 15322911.0,
+      "step": 8405
+    },
+    {
+      "entropy": 5.300360822677613,
+      "epoch": 6.967688483844242,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001605317014198714,
+      "loss": 4.6163,
+      "mean_token_accuracy": 0.22070427536964415,
+      "num_tokens": 15330882.0,
+      "step": 8410
+    },
+    {
+      "entropy": 5.221141958236695,
+      "epoch": 6.971830985915493,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00016025670606504926,
+      "loss": 4.523,
+      "mean_token_accuracy": 0.22398052662611007,
+      "num_tokens": 15339915.0,
+      "step": 8415
+    },
+    {
+      "entropy": 5.213225173950195,
+      "epoch": 6.975973487986744,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001599819421599899,
+      "loss": 4.5878,
+      "mean_token_accuracy": 0.21864742040634155,
+      "num_tokens": 15348181.0,
+      "step": 8420
+    },
+    {
+      "entropy": 5.188560724258423,
+      "epoch": 6.980115990057995,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00015970741025892233,
+      "loss": 4.5452,
+      "mean_token_accuracy": 0.2271549642086029,
+      "num_tokens": 15357128.0,
+      "step": 8425
+    },
+    {
+      "entropy": 5.209831953048706,
+      "epoch": 6.984258492129246,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00015943311091560721,
+      "loss": 4.6538,
+      "mean_token_accuracy": 0.22213561683893204,
+      "num_tokens": 15366878.0,
+      "step": 8430
+    },
+    {
+      "entropy": 5.3097316265106205,
+      "epoch": 6.988400994200497,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00015915904468333635,
+      "loss": 4.5939,
+      "mean_token_accuracy": 0.22847030758857728,
+      "num_tokens": 15376101.0,
+      "step": 8435
+    },
+    {
+      "entropy": 5.18035774230957,
+      "epoch": 6.9925434962717485,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00015888521211493135,
+      "loss": 4.5421,
+      "mean_token_accuracy": 0.21641024351119995,
+      "num_tokens": 15384942.0,
+      "step": 8440
+    },
+    {
+      "entropy": 5.193719911575317,
+      "epoch": 6.996685998342999,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001586116137627423,
+      "loss": 4.5648,
+      "mean_token_accuracy": 0.22552343606948852,
+      "num_tokens": 15394380.0,
+      "step": 8445
+    },
+    {
+      "entropy": 5.28035192489624,
+      "epoch": 7.00082850041425,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00015833825017864711,
+      "loss": 4.4966,
+      "mean_token_accuracy": 0.23881841003894805,
+      "num_tokens": 15402180.0,
+      "step": 8450
+    },
+    {
+      "entropy": 5.25820837020874,
+      "epoch": 7.004971002485501,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00015806512191405,
+      "loss": 4.5534,
+      "mean_token_accuracy": 0.22912415564060212,
+      "num_tokens": 15411434.0,
+      "step": 8455
+    },
+    {
+      "entropy": 5.271618843078613,
+      "epoch": 7.009113504556752,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0001577922295198803,
+      "loss": 4.4939,
+      "mean_token_accuracy": 0.2291717991232872,
+      "num_tokens": 15419905.0,
+      "step": 8460
+    },
+    {
+      "entropy": 5.211508417129517,
+      "epoch": 7.013256006628003,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00015751957354659206,
+      "loss": 4.5173,
+      "mean_token_accuracy": 0.22768738716840745,
+      "num_tokens": 15429200.0,
+      "step": 8465
+    },
+    {
+      "entropy": 5.230689239501953,
+      "epoch": 7.017398508699254,
+      "grad_norm": 1.7734375,
+      "learning_rate": 0.00015724715454416206,
+      "loss": 4.5014,
+      "mean_token_accuracy": 0.23492475599050522,
+      "num_tokens": 15439328.0,
+      "step": 8470
+    },
+    {
+      "entropy": 5.239945983886718,
+      "epoch": 7.021541010770505,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00015697497306208926,
+      "loss": 4.449,
+      "mean_token_accuracy": 0.23373402953147887,
+      "num_tokens": 15447739.0,
+      "step": 8475
+    },
+    {
+      "entropy": 5.2335375308990475,
+      "epoch": 7.0256835128417565,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001567030296493934,
+      "loss": 4.4117,
+      "mean_token_accuracy": 0.2391123041510582,
+      "num_tokens": 15456598.0,
+      "step": 8480
+    },
+    {
+      "entropy": 5.264567565917969,
+      "epoch": 7.029826014913008,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00015643132485461395,
+      "loss": 4.5407,
+      "mean_token_accuracy": 0.22584614008665085,
+      "num_tokens": 15466633.0,
+      "step": 8485
+    },
+    {
+      "entropy": 5.269935941696167,
+      "epoch": 7.033968516984259,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.0001561598592258094,
+      "loss": 4.4839,
+      "mean_token_accuracy": 0.23932840377092363,
+      "num_tokens": 15476809.0,
+      "step": 8490
+    },
+    {
+      "entropy": 5.200196313858032,
+      "epoch": 7.03811101905551,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00015588863331055541,
+      "loss": 4.4345,
+      "mean_token_accuracy": 0.22763314247131347,
+      "num_tokens": 15484964.0,
+      "step": 8495
+    },
+    {
+      "entropy": 5.208463573455811,
+      "epoch": 7.042253521126761,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.0001556176476559444,
+      "loss": 4.4668,
+      "mean_token_accuracy": 0.2335176944732666,
+      "num_tokens": 15493600.0,
+      "step": 8500
+    },
+    {
+      "epoch": 7.042253521126761,
+      "eval_entropy": 5.129485646798921,
+      "eval_loss": 5.728693962097168,
+      "eval_mean_token_accuracy": 0.16830202490726767,
+      "eval_num_tokens": 15493600.0,
+      "eval_runtime": 2.7433,
+      "eval_samples_per_second": 1365.87,
+      "eval_steps_per_second": 170.962,
+      "step": 8500
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 12060,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 2.3124410665344e+16,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}
diff --git a/checkpoint-8500/training_args.bin b/checkpoint-8500/training_args.bin
new file mode 100644
index 0000000..47a7b32
--- /dev/null
+++ b/checkpoint-8500/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e406e906697be5d5c4bea7f90a038122ca162eb6b7e40512a32661ef55af9075
+size 6353
diff --git a/checkpoint-9000/added_tokens.json b/checkpoint-9000/added_tokens.json
new file mode 100644
index 0000000..b3dbcdb
--- /dev/null
+++ b/checkpoint-9000/added_tokens.json
@@ -0,0 +1,1202 @@
+{
+  "<pad>": 50002,
+  "[CLS]": 50000,
+  "[MASK]": 50003,
+  "[SEP]": 50001,
+  "[XXXXX0]": 50771,
+  "[XXXXX1000]": 50549,
+  "[XXXXX1001]": 50657,
+  "[XXXXX1002]": 51158,
+  "[XXXXX1003]": 51044,
+  "[XXXXX1004]": 50688,
+  "[XXXXX1005]": 50689,
+  "[XXXXX1006]": 50410,
+  "[XXXXX1007]": 50724,
+  "[XXXXX1008]": 50171,
+  "[XXXXX1009]": 51077,
+  "[XXXXX100]": 50091,
+  "[XXXXX1010]": 50639,
+  "[XXXXX1011]": 51094,
+  "[XXXXX1012]": 50392,
+  "[XXXXX1013]": 50626,
+  "[XXXXX1014]": 50991,
+  "[XXXXX1015]": 50529,
+  "[XXXXX1016]": 51193,
+  "[XXXXX1017]": 51073,
+  "[XXXXX1018]": 51104,
+  "[XXXXX1019]": 50775,
+  "[XXXXX101]": 50139,
+  "[XXXXX1020]": 50157,
+  "[XXXXX1021]": 50934,
+  "[XXXXX1022]": 51159,
+  "[XXXXX1023]": 50048,
+  "[XXXXX1024]": 51123,
+  "[XXXXX1025]": 50084,
+  "[XXXXX1026]": 50813,
+  "[XXXXX1027]": 50725,
+  "[XXXXX1028]": 50931,
+  "[XXXXX1029]": 50233,
+  "[XXXXX102]": 50213,
+  "[XXXXX1030]": 51023,
+  "[XXXXX1031]": 50098,
+  "[XXXXX1032]": 50802,
+  "[XXXXX1033]": 50061,
+  "[XXXXX1034]": 51139,
+  "[XXXXX1035]": 51110,
+  "[XXXXX1036]": 50204,
+  "[XXXXX1037]": 50023,
+  "[XXXXX1038]": 50142,
+  "[XXXXX1039]": 50328,
+  "[XXXXX103]": 50087,
+  "[XXXXX1040]": 50435,
+  "[XXXXX1041]": 50489,
+  "[XXXXX1042]": 50216,
+  "[XXXXX1043]": 50144,
+  "[XXXXX1044]": 50832,
+  "[XXXXX1045]": 50566,
+  "[XXXXX1046]": 50922,
+  "[XXXXX1047]": 50796,
+  "[XXXXX1048]": 50533,
+  "[XXXXX1049]": 50433,
+  "[XXXXX104]": 50478,
+  "[XXXXX1050]": 50953,
+  "[XXXXX1051]": 50497,
+  "[XXXXX1052]": 50655,
+  "[XXXXX1053]": 50881,
+  "[XXXXX1054]": 50461,
+  "[XXXXX1055]": 50052,
+  "[XXXXX1056]": 50219,
+  "[XXXXX1057]": 50789,
+  "[XXXXX1058]": 50121,
+  "[XXXXX1059]": 51002,
+  "[XXXXX105]": 51192,
+  "[XXXXX1060]": 50158,
+  "[XXXXX1061]": 50352,
+  "[XXXXX1062]": 50637,
+  "[XXXXX1063]": 50440,
+  "[XXXXX1064]": 50590,
+  "[XXXXX1065]": 51107,
+  "[XXXXX1066]": 50758,
+  "[XXXXX1067]": 51011,
+  "[XXXXX1068]": 50985,
+  "[XXXXX1069]": 51175,
+  "[XXXXX106]": 50532,
+  "[XXXXX1070]": 50790,
+  "[XXXXX1071]": 50394,
+  "[XXXXX1072]": 50852,
+  "[XXXXX1073]": 50869,
+  "[XXXXX1074]": 50126,
+  "[XXXXX1075]": 50783,
+  "[XXXXX1076]": 50806,
+  "[XXXXX1077]": 50882,
+  "[XXXXX1078]": 50726,
+  "[XXXXX1079]": 51010,
+  "[XXXXX107]": 50714,
+  "[XXXXX1080]": 50168,
+  "[XXXXX1081]": 50425,
+  "[XXXXX1082]": 50848,
+  "[XXXXX1083]": 50014,
+  "[XXXXX1084]": 50341,
+  "[XXXXX1085]": 50734,
+  "[XXXXX1086]": 50664,
+  "[XXXXX1087]": 51007,
+  "[XXXXX1088]": 51151,
+  "[XXXXX1089]": 50269,
+  "[XXXXX108]": 50996,
+  "[XXXXX1090]": 50826,
+  "[XXXXX1091]": 51105,
+  "[XXXXX1092]": 50731,
+  "[XXXXX1093]": 50856,
+  "[XXXXX1094]": 50369,
+  "[XXXXX1095]": 50065,
+  "[XXXXX1096]": 50309,
+  "[XXXXX1097]": 50838,
+  "[XXXXX1098]": 50451,
+  "[XXXXX1099]": 50384,
+  "[XXXXX109]": 50543,
+  "[XXXXX10]": 50325,
+  "[XXXXX1100]": 50318,
+  "[XXXXX1101]": 50764,
+  "[XXXXX1102]": 51025,
+  "[XXXXX1103]": 50642,
+  "[XXXXX1104]": 50665,
+  "[XXXXX1105]": 50855,
+  "[XXXXX1106]": 51063,
+  "[XXXXX1107]": 50025,
+  "[XXXXX1108]": 50122,
+  "[XXXXX1109]": 50470,
+  "[XXXXX110]": 50062,
+  "[XXXXX1110]": 51019,
+  "[XXXXX1111]": 51124,
+  "[XXXXX1112]": 50146,
+  "[XXXXX1113]": 51125,
+  "[XXXXX1114]": 50434,
+  "[XXXXX1115]": 50818,
+  "[XXXXX1116]": 50960,
+  "[XXXXX1117]": 50258,
+  "[XXXXX1118]": 50596,
+  "[XXXXX1119]": 50083,
+  "[XXXXX111]": 51064,
+  "[XXXXX1120]": 50915,
+  "[XXXXX1121]": 50835,
+  "[XXXXX1122]": 51056,
+  "[XXXXX1123]": 50172,
+  "[XXXXX1124]": 50972,
+  "[XXXXX1125]": 50275,
+  "[XXXXX1126]": 50430,
+  "[XXXXX1127]": 50743,
+  "[XXXXX1128]": 50551,
+  "[XXXXX1129]": 50439,
+  "[XXXXX112]": 50819,
+  "[XXXXX1130]": 50536,
+  "[XXXXX1131]": 50622,
+  "[XXXXX1132]": 50623,
+  "[XXXXX1133]": 50117,
+  "[XXXXX1134]": 50251,
+  "[XXXXX1135]": 50678,
+  "[XXXXX1136]": 50316,
+  "[XXXXX1137]": 50905,
+  "[XXXXX1138]": 50992,
+  "[XXXXX1139]": 50851,
+  "[XXXXX113]": 50443,
+  "[XXXXX1140]": 50499,
+  "[XXXXX1141]": 50629,
+  "[XXXXX1142]": 50944,
+  "[XXXXX1143]": 50373,
+  "[XXXXX1144]": 50123,
+  "[XXXXX1145]": 50173,
+  "[XXXXX1146]": 50891,
+  "[XXXXX1147]": 50471,
+  "[XXXXX1148]": 50560,
+  "[XXXXX1149]": 50541,
+  "[XXXXX114]": 50631,
+  "[XXXXX1150]": 50033,
+  "[XXXXX1151]": 50063,
+  "[XXXXX1152]": 50767,
+  "[XXXXX1153]": 50897,
+  "[XXXXX1154]": 50568,
+  "[XXXXX1155]": 51131,
+  "[XXXXX1156]": 50009,
+  "[XXXXX1157]": 50417,
+  "[XXXXX1158]": 50477,
+  "[XXXXX1159]": 50941,
+  "[XXXXX115]": 50294,
+  "[XXXXX1160]": 50679,
+  "[XXXXX1161]": 51108,
+  "[XXXXX1162]": 50332,
+  "[XXXXX1163]": 50424,
+  "[XXXXX1164]": 50473,
+  "[XXXXX1165]": 50793,
+  "[XXXXX1166]": 50453,
+  "[XXXXX1167]": 50807,
+  "[XXXXX1168]": 50128,
+  "[XXXXX1169]": 50039,
+  "[XXXXX116]": 50759,
+  "[XXXXX1170]": 50735,
+  "[XXXXX1171]": 50366,
+  "[XXXXX1172]": 50808,
+  "[XXXXX1173]": 50426,
+  "[XXXXX1174]": 50076,
+  "[XXXXX1175]": 50943,
+  "[XXXXX1176]": 50252,
+  "[XXXXX1177]": 50999,
+  "[XXXXX1178]": 50264,
+  "[XXXXX1179]": 50607,
+  "[XXXXX117]": 51036,
+  "[XXXXX1180]": 50986,
+  "[XXXXX1181]": 50744,
+  "[XXXXX1182]": 50186,
+  "[XXXXX1183]": 50555,
+  "[XXXXX1184]": 51076,
+  "[XXXXX1185]": 50849,
+  "[XXXXX1186]": 51128,
+  "[XXXXX1187]": 50858,
+  "[XXXXX1188]": 50656,
+  "[XXXXX1189]": 50064,
+  "[XXXXX118]": 50081,
+  "[XXXXX1190]": 51197,
+  "[XXXXX1191]": 50104,
+  "[XXXXX1192]": 50045,
+  "[XXXXX1193]": 50404,
+  "[XXXXX1194]": 50690,
+  "[XXXXX1195]": 50495,
+  "[XXXXX119]": 50108,
+  "[XXXXX11]": 50976,
+  "[XXXXX120]": 51081,
+  "[XXXXX121]": 50464,
+  "[XXXXX122]": 50829,
+  "[XXXXX123]": 50766,
+  "[XXXXX124]": 50732,
+  "[XXXXX125]": 50221,
+  "[XXXXX126]": 50810,
+  "[XXXXX127]": 50130,
+  "[XXXXX128]": 50751,
+  "[XXXXX129]": 50662,
+  "[XXXXX12]": 50602,
+  "[XXXXX130]": 50035,
+  "[XXXXX131]": 50715,
+  "[XXXXX132]": 50340,
+  "[XXXXX133]": 50563,
+  "[XXXXX134]": 50993,
+  "[XXXXX135]": 50304,
+  "[XXXXX136]": 50131,
+  "[XXXXX137]": 50578,
+  "[XXXXX138]": 50757,
+  "[XXXXX139]": 50582,
+  "[XXXXX13]": 50105,
+  "[XXXXX140]": 50085,
+  "[XXXXX141]": 50553,
+  "[XXXXX142]": 50749,
+  "[XXXXX143]": 50351,
+  "[XXXXX144]": 51024,
+  "[XXXXX145]": 51144,
+  "[XXXXX146]": 50042,
+  "[XXXXX147]": 50145,
+  "[XXXXX148]": 50066,
+  "[XXXXX149]": 50876,
+  "[XXXXX14]": 51006,
+  "[XXXXX150]": 50280,
+  "[XXXXX151]": 50093,
+  "[XXXXX152]": 50638,
+  "[XXXXX153]": 50684,
+  "[XXXXX154]": 50820,
+  "[XXXXX155]": 51196,
+  "[XXXXX156]": 50317,
+  "[XXXXX157]": 50284,
+  "[XXXXX158]": 50288,
+  "[XXXXX159]": 50814,
+  "[XXXXX15]": 50608,
+  "[XXXXX160]": 50004,
+  "[XXXXX161]": 50008,
+  "[XXXXX162]": 50377,
+  "[XXXXX163]": 50214,
+  "[XXXXX164]": 50708,
+  "[XXXXX165]": 50390,
+  "[XXXXX166]": 50741,
+  "[XXXXX167]": 50445,
+  "[XXXXX168]": 50936,
+  "[XXXXX169]": 50896,
+  "[XXXXX16]": 50442,
+  "[XXXXX170]": 50109,
+  "[XXXXX171]": 50140,
+  "[XXXXX172]": 50427,
+  "[XXXXX173]": 51074,
+  "[XXXXX174]": 50162,
+  "[XXXXX175]": 51015,
+  "[XXXXX176]": 50524,
+  "[XXXXX177]": 50673,
+  "[XXXXX178]": 50054,
+  "[XXXXX179]": 50805,
+  "[XXXXX17]": 50482,
+  "[XXXXX180]": 50253,
+  "[XXXXX181]": 50493,
+  "[XXXXX182]": 50421,
+  "[XXXXX183]": 51050,
+  "[XXXXX184]": 50521,
+  "[XXXXX185]": 50188,
+  "[XXXXX186]": 50147,
+  "[XXXXX187]": 50201,
+  "[XXXXX188]": 50973,
+  "[XXXXX189]": 50409,
+  "[XXXXX18]": 50115,
+  "[XXXXX190]": 50051,
+  "[XXXXX191]": 51020,
+  "[XXXXX192]": 51047,
+  "[XXXXX193]": 50669,
+  "[XXXXX194]": 50643,
+  "[XXXXX195]": 50159,
+  "[XXXXX196]": 50649,
+  "[XXXXX197]": 51178,
+  "[XXXXX198]": 50043,
+  "[XXXXX199]": 51147,
+  "[XXXXX19]": 51127,
+  "[XXXXX1]": 51114,
+  "[XXXXX200]": 50840,
+  "[XXXXX201]": 50365,
+  "[XXXXX202]": 50232,
+  "[XXXXX203]": 50241,
+  "[XXXXX204]": 50548,
+  "[XXXXX205]": 50781,
+  "[XXXXX206]": 50923,
+  "[XXXXX207]": 51115,
+  "[XXXXX208]": 50344,
+  "[XXXXX209]": 50299,
+  "[XXXXX20]": 51031,
+  "[XXXXX210]": 51179,
+  "[XXXXX211]": 51163,
+  "[XXXXX212]": 50562,
+  "[XXXXX213]": 50094,
+  "[XXXXX214]": 50257,
+  "[XXXXX215]": 50967,
+  "[XXXXX216]": 50523,
+  "[XXXXX217]": 51132,
+  "[XXXXX218]": 51146,
+  "[XXXXX219]": 50411,
+  "[XXXXX21]": 50354,
+  "[XXXXX220]": 50853,
+  "[XXXXX221]": 50886,
+  "[XXXXX222]": 50600,
+  "[XXXXX223]": 50873,
+  "[XXXXX224]": 50416,
+  "[XXXXX225]": 50675,
+  "[XXXXX226]": 50583,
+  "[XXXXX227]": 50151,
+  "[XXXXX228]": 50927,
+  "[XXXXX229]": 50609,
+  "[XXXXX22]": 50589,
+  "[XXXXX230]": 50238,
+  "[XXXXX231]": 50242,
+  "[XXXXX232]": 51016,
+  "[XXXXX233]": 50406,
+  "[XXXXX234]": 50908,
+  "[XXXXX235]": 50024,
+  "[XXXXX236]": 50270,
+  "[XXXXX237]": 50132,
+  "[XXXXX238]": 50800,
+  "[XXXXX239]": 50236,
+  "[XXXXX23]": 50007,
+  "[XXXXX240]": 50005,
+  "[XXXXX241]": 50894,
+  "[XXXXX242]": 50694,
+  "[XXXXX243]": 51071,
+  "[XXXXX244]": 51017,
+  "[XXXXX245]": 50068,
+  "[XXXXX246]": 50682,
+  "[XXXXX247]": 50913,
+  "[XXXXX248]": 51028,
+  "[XXXXX249]": 50037,
+  "[XXXXX24]": 51169,
+  "[XXXXX250]": 50747,
+  "[XXXXX251]": 50947,
+  "[XXXXX252]": 50329,
+  "[XXXXX253]": 50612,
+  "[XXXXX254]": 50110,
+  "[XXXXX255]": 50824,
+  "[XXXXX256]": 50558,
+  "[XXXXX257]": 50969,
+  "[XXXXX258]": 50729,
+  "[XXXXX259]": 50125,
+  "[XXXXX25]": 51160,
+  "[XXXXX260]": 50040,
+  "[XXXXX261]": 51038,
+  "[XXXXX262]": 50347,
+  "[XXXXX263]": 50740,
+  "[XXXXX264]": 51195,
+  "[XXXXX265]": 50879,
+  "[XXXXX266]": 50770,
+  "[XXXXX267]": 50178,
+  "[XXXXX268]": 50804,
+  "[XXXXX269]": 50906,
+  "[XXXXX26]": 50150,
+  "[XXXXX270]": 51191,
+  "[XXXXX271]": 50047,
+  "[XXXXX272]": 50195,
+  "[XXXXX273]": 50554,
+  "[XXXXX274]": 50833,
+  "[XXXXX275]": 50346,
+  "[XXXXX276]": 50950,
+  "[XXXXX277]": 50864,
+  "[XXXXX278]": 50259,
+  "[XXXXX279]": 50671,
+  "[XXXXX27]": 50468,
+  "[XXXXX280]": 50082,
+  "[XXXXX281]": 50565,
+  "[XXXXX282]": 50984,
+  "[XXXXX283]": 50650,
+  "[XXXXX284]": 50975,
+  "[XXXXX285]": 50603,
+  "[XXXXX286]": 50027,
+  "[XXXXX287]": 50181,
+  "[XXXXX288]": 50981,
+  "[XXXXX289]": 50885,
+  "[XXXXX28]": 50249,
+  "[XXXXX290]": 50522,
+  "[XXXXX291]": 50050,
+  "[XXXXX292]": 50313,
+  "[XXXXX293]": 50503,
+  "[XXXXX294]": 51176,
+  "[XXXXX295]": 51177,
+  "[XXXXX296]": 50379,
+  "[XXXXX297]": 50635,
+  "[XXXXX298]": 50723,
+  "[XXXXX299]": 50200,
+  "[XXXXX29]": 50892,
+  "[XXXXX2]": 51119,
+  "[XXXXX300]": 51026,
+  "[XXXXX301]": 50528,
+  "[XXXXX302]": 51149,
+  "[XXXXX303]": 50044,
+  "[XXXXX304]": 50209,
+  "[XXXXX305]": 50988,
+  "[XXXXX306]": 50518,
+  "[XXXXX307]": 50088,
+  "[XXXXX308]": 50733,
+  "[XXXXX309]": 51066,
+  "[XXXXX30]": 50506,
+  "[XXXXX310]": 50285,
+  "[XXXXX311]": 50859,
+  "[XXXXX312]": 50263,
+  "[XXXXX313]": 50594,
+  "[XXXXX314]": 51103,
+  "[XXXXX315]": 50871,
+  "[XXXXX316]": 50300,
+  "[XXXXX317]": 50760,
+  "[XXXXX318]": 50055,
+  "[XXXXX319]": 50389,
+  "[XXXXX31]": 50212,
+  "[XXXXX320]": 50444,
+  "[XXXXX321]": 50994,
+  "[XXXXX322]": 50281,
+  "[XXXXX323]": 50179,
+  "[XXXXX324]": 50455,
+  "[XXXXX325]": 50970,
+  "[XXXXX326]": 50666,
+  "[XXXXX327]": 50604,
+  "[XXXXX328]": 50627,
+  "[XXXXX329]": 50475,
+  "[XXXXX32]": 50277,
+  "[XXXXX330]": 50667,
+  "[XXXXX331]": 50348,
+  "[XXXXX332]": 50772,
+  "[XXXXX333]": 50163,
+  "[XXXXX334]": 50569,
+  "[XXXXX335]": 50018,
+  "[XXXXX336]": 50883,
+  "[XXXXX337]": 50067,
+  "[XXXXX338]": 51184,
+  "[XXXXX339]": 50997,
+  "[XXXXX33]": 50403,
+  "[XXXXX340]": 51013,
+  "[XXXXX341]": 50957,
+  "[XXXXX342]": 51106,
+  "[XXXXX343]": 51174,
+  "[XXXXX344]": 50391,
+  "[XXXXX345]": 50948,
+  "[XXXXX346]": 50180,
+  "[XXXXX347]": 50811,
+  "[XXXXX348]": 50401,
+  "[XXXXX349]": 50911,
+  "[XXXXX34]": 50223,
+  "[XXXXX350]": 51089,
+  "[XXXXX351]": 50777,
+  "[XXXXX352]": 50189,
+  "[XXXXX353]": 50492,
+  "[XXXXX354]": 50205,
+  "[XXXXX355]": 50374,
+  "[XXXXX356]": 51152,
+  "[XXXXX357]": 50695,
+  "[XXXXX358]": 51117,
+  "[XXXXX359]": 50573,
+  "[XXXXX35]": 50752,
+  "[XXXXX360]": 50955,
+  "[XXXXX361]": 50349,
+  "[XXXXX362]": 51137,
+  "[XXXXX363]": 50641,
+  "[XXXXX364]": 51148,
+  "[XXXXX365]": 50255,
+  "[XXXXX366]": 50310,
+  "[XXXXX367]": 50314,
+  "[XXXXX368]": 50971,
+  "[XXXXX369]": 50916,
+  "[XXXXX36]": 50437,
+  "[XXXXX370]": 51096,
+  "[XXXXX371]": 50557,
+  "[XXXXX372]": 51095,
+  "[XXXXX373]": 50382,
+  "[XXXXX374]": 50119,
+  "[XXXXX375]": 50958,
+  "[XXXXX376]": 50624,
+  "[XXXXX377]": 50483,
+  "[XXXXX378]": 50605,
+  "[XXXXX379]": 50017,
+  "[XXXXX37]": 50706,
+  "[XXXXX380]": 50246,
+  "[XXXXX381]": 50588,
+  "[XXXXX382]": 51008,
+  "[XXXXX383]": 50801,
+  "[XXXXX384]": 50290,
+  "[XXXXX385]": 50899,
+  "[XXXXX386]": 50206,
+  "[XXXXX387]": 50716,
+  "[XXXXX388]": 51082,
+  "[XXXXX389]": 50177,
+  "[XXXXX38]": 50736,
+  "[XXXXX390]": 50282,
+  "[XXXXX391]": 51183,
+  "[XXXXX392]": 50286,
+  "[XXXXX393]": 50659,
+  "[XXXXX394]": 50378,
+  "[XXXXX395]": 50709,
+  "[XXXXX396]": 50028,
+  "[XXXXX397]": 50235,
+  "[XXXXX398]": 51014,
+  "[XXXXX399]": 50880,
+  "[XXXXX39]": 50305,
+  "[XXXXX3]": 50077,
+  "[XXXXX400]": 50155,
+  "[XXXXX401]": 50710,
+  "[XXXXX402]": 50507,
+  "[XXXXX403]": 50860,
+  "[XXXXX404]": 50661,
+  "[XXXXX405]": 51083,
+  "[XXXXX406]": 50888,
+  "[XXXXX407]": 50069,
+  "[XXXXX408]": 50691,
+  "[XXXXX409]": 51055,
+  "[XXXXX40]": 50337,
+  "[XXXXX410]": 50137,
+  "[XXXXX411]": 50791,
+  "[XXXXX412]": 50136,
+  "[XXXXX413]": 50730,
+  "[XXXXX414]": 50267,
+  "[XXXXX415]": 50012,
+  "[XXXXX416]": 50681,
+  "[XXXXX417]": 50942,
+  "[XXXXX418]": 50720,
+  "[XXXXX419]": 50844,
+  "[XXXXX41]": 50387,
+  "[XXXXX420]": 50111,
+  "[XXXXX421]": 51003,
+  "[XXXXX422]": 50785,
+  "[XXXXX423]": 50149,
+  "[XXXXX424]": 50422,
+  "[XXXXX425]": 51086,
+  "[XXXXX426]": 50862,
+  "[XXXXX427]": 50576,
+  "[XXXXX428]": 51049,
+  "[XXXXX429]": 50630,
+  "[XXXXX42]": 50799,
+  "[XXXXX430]": 50289,
+  "[XXXXX431]": 50184,
+  "[XXXXX432]": 50319,
+  "[XXXXX433]": 51116,
+  "[XXXXX434]": 50519,
+  "[XXXXX435]": 50496,
+  "[XXXXX436]": 50517,
+  "[XXXXX437]": 50865,
+  "[XXXXX438]": 50737,
+  "[XXXXX439]": 50356,
+  "[XXXXX43]": 50359,
+  "[XXXXX440]": 50898,
+  "[XXXXX441]": 50113,
+  "[XXXXX442]": 50527,
+  "[XXXXX443]": 50762,
+  "[XXXXX444]": 50540,
+  "[XXXXX445]": 50925,
+  "[XXXXX446]": 50711,
+  "[XXXXX447]": 50143,
+  "[XXXXX448]": 51170,
+  "[XXXXX449]": 50413,
+  "[XXXXX44]": 50097,
+  "[XXXXX450]": 50375,
+  "[XXXXX451]": 50846,
+  "[XXXXX452]": 50217,
+  "[XXXXX453]": 50699,
+  "[XXXXX454]": 50412,
+  "[XXXXX455]": 50418,
+  "[XXXXX456]": 51143,
+  "[XXXXX457]": 51141,
+  "[XXXXX458]": 51157,
+  "[XXXXX459]": 50825,
+  "[XXXXX45]": 50203,
+  "[XXXXX460]": 50194,
+  "[XXXXX461]": 50148,
+  "[XXXXX462]": 50276,
+  "[XXXXX463]": 50271,
+  "[XXXXX464]": 50836,
+  "[XXXXX465]": 50854,
+  "[XXXXX466]": 50164,
+  "[XXXXX467]": 50484,
+  "[XXXXX468]": 51097,
+  "[XXXXX469]": 50182,
+  "[XXXXX46]": 50505,
+  "[XXXXX470]": 50670,
+  "[XXXXX471]": 50595,
+  "[XXXXX472]": 50237,
+  "[XXXXX473]": 50057,
+  "[XXXXX474]": 50431,
+  "[XXXXX475]": 50738,
+  "[XXXXX476]": 51145,
+  "[XXXXX477]": 50247,
+  "[XXXXX478]": 50029,
+  "[XXXXX479]": 50917,
+  "[XXXXX47]": 50579,
+  "[XXXXX480]": 50702,
+  "[XXXXX481]": 50831,
+  "[XXXXX482]": 50753,
+  "[XXXXX483]": 50598,
+  "[XXXXX484]": 51136,
+  "[XXXXX485]": 50092,
+  "[XXXXX486]": 50202,
+  "[XXXXX487]": 50106,
+  "[XXXXX488]": 50924,
+  "[XXXXX489]": 51113,
+  "[XXXXX48]": 50842,
+  "[XXXXX490]": 50761,
+  "[XXXXX491]": 50577,
+  "[XXXXX492]": 50692,
+  "[XXXXX493]": 51130,
+  "[XXXXX494]": 50932,
+  "[XXXXX495]": 50837,
+  "[XXXXX496]": 50893,
+  "[XXXXX497]": 50773,
+  "[XXXXX498]": 50360,
+  "[XXXXX499]": 50900,
+  "[XXXXX49]": 51062,
+  "[XXXXX4]": 50396,
+  "[XXXXX500]": 51034,
+  "[XXXXX501]": 50472,
+  "[XXXXX502]": 50660,
+  "[XXXXX503]": 50815,
+  "[XXXXX504]": 50939,
+  "[XXXXX505]": 50419,
+  "[XXXXX506]": 50324,
+  "[XXXXX507]": 50428,
+  "[XXXXX508]": 50274,
+  "[XXXXX509]": 50311,
+  "[XXXXX50]": 50459,
+  "[XXXXX510]": 50674,
+  "[XXXXX511]": 50580,
+  "[XXXXX512]": 50956,
+  "[XXXXX513]": 50165,
+  "[XXXXX514]": 50320,
+  "[XXXXX515]": 50648,
+  "[XXXXX516]": 50386,
+  "[XXXXX517]": 50058,
+  "[XXXXX518]": 51045,
+  "[XXXXX519]": 50103,
+  "[XXXXX51]": 50979,
+  "[XXXXX520]": 50530,
+  "[XXXXX521]": 50907,
+  "[XXXXX522]": 50260,
+  "[XXXXX523]": 50632,
+  "[XXXXX524]": 50926,
+  "[XXXXX525]": 50687,
+  "[XXXXX526]": 50160,
+  "[XXXXX527]": 51053,
+  "[XXXXX528]": 50652,
+  "[XXXXX529]": 51041,
+  "[XXXXX52]": 50272,
+  "[XXXXX530]": 51111,
+  "[XXXXX531]": 51009,
+  "[XXXXX532]": 51079,
+  "[XXXXX533]": 50487,
+  "[XXXXX534]": 51059,
+  "[XXXXX535]": 50335,
+  "[XXXXX536]": 50380,
+  "[XXXXX537]": 50301,
+  "[XXXXX538]": 51067,
+  "[XXXXX539]": 51052,
+  "[XXXXX53]": 51048,
+  "[XXXXX540]": 50822,
+  "[XXXXX541]": 51040,
+  "[XXXXX542]": 50490,
+  "[XXXXX543]": 50448,
+  "[XXXXX544]": 50812,
+  "[XXXXX545]": 50099,
+  "[XXXXX546]": 51199,
+  "[XXXXX547]": 50226,
+  "[XXXXX548]": 50538,
+  "[XXXXX549]": 50342,
+  "[XXXXX54]": 50701,
+  "[XXXXX550]": 50544,
+  "[XXXXX551]": 50398,
+  "[XXXXX552]": 51102,
+  "[XXXXX553]": 50919,
+  "[XXXXX554]": 50615,
+  "[XXXXX555]": 50769,
+  "[XXXXX556]": 50940,
+  "[XXXXX557]": 50070,
+  "[XXXXX558]": 50680,
+  "[XXXXX559]": 50611,
+  "[XXXXX55]": 50574,
+  "[XXXXX560]": 50381,
+  "[XXXXX561]": 50350,
+  "[XXXXX562]": 50175,
+  "[XXXXX563]": 50584,
+  "[XXXXX564]": 50703,
+  "[XXXXX565]": 50989,
+  "[XXXXX566]": 50877,
+  "[XXXXX567]": 51039,
+  "[XXXXX568]": 51018,
+  "[XXXXX569]": 50452,
+  "[XXXXX56]": 51099,
+  "[XXXXX570]": 50161,
+  "[XXXXX571]": 50921,
+  "[XXXXX572]": 50676,
+  "[XXXXX573]": 50326,
+  "[XXXXX574]": 50987,
+  "[XXXXX575]": 50361,
+  "[XXXXX576]": 50071,
+  "[XXXXX577]": 50803,
+  "[XXXXX578]": 50400,
+  "[XXXXX579]": 51091,
+  "[XXXXX57]": 50501,
+  "[XXXXX580]": 50887,
+  "[XXXXX581]": 50839,
+  "[XXXXX582]": 51138,
+  "[XXXXX583]": 50816,
+  "[XXXXX584]": 50339,
+  "[XXXXX585]": 50463,
+  "[XXXXX586]": 50399,
+  "[XXXXX587]": 51070,
+  "[XXXXX588]": 50457,
+  "[XXXXX589]": 50828,
+  "[XXXXX58]": 50183,
+  "[XXXXX590]": 50080,
+  "[XXXXX591]": 50550,
+  "[XXXXX592]": 50129,
+  "[XXXXX593]": 50273,
+  "[XXXXX594]": 50388,
+  "[XXXXX595]": 50491,
+  "[XXXXX596]": 50278,
+  "[XXXXX597]": 50011,
+  "[XXXXX598]": 50254,
+  "[XXXXX599]": 50302,
+  "[XXXXX59]": 50353,
+  "[XXXXX5]": 50010,
+  "[XXXXX600]": 50704,
+  "[XXXXX601]": 51118,
+  "[XXXXX602]": 50049,
+  "[XXXXX603]": 51190,
+  "[XXXXX604]": 51142,
+  "[XXXXX605]": 50707,
+  "[XXXXX606]": 50937,
+  "[XXXXX607]": 50875,
+  "[XXXXX608]": 50564,
+  "[XXXXX609]": 50345,
+  "[XXXXX60]": 50713,
+  "[XXXXX610]": 50949,
+  "[XXXXX611]": 50978,
+  "[XXXXX612]": 50330,
+  "[XXXXX613]": 51035,
+  "[XXXXX614]": 50402,
+  "[XXXXX615]": 50176,
+  "[XXXXX616]": 51133,
+  "[XXXXX617]": 50222,
+  "[XXXXX618]": 50118,
+  "[XXXXX619]": 50196,
+  "[XXXXX61]": 50298,
+  "[XXXXX620]": 50668,
+  "[XXXXX621]": 50462,
+  "[XXXXX622]": 50218,
+  "[XXXXX623]": 51101,
+  "[XXXXX624]": 50362,
+  "[XXXXX625]": 50779,
+  "[XXXXX626]": 50513,
+  "[XXXXX627]": 50746,
+  "[XXXXX628]": 50141,
+  "[XXXXX629]": 50479,
+  "[XXXXX62]": 50056,
+  "[XXXXX630]": 51180,
+  "[XXXXX631]": 50872,
+  "[XXXXX632]": 50315,
+  "[XXXXX633]": 50397,
+  "[XXXXX634]": 51165,
+  "[XXXXX635]": 50046,
+  "[XXXXX636]": 50795,
+  "[XXXXX637]": 50959,
+  "[XXXXX638]": 50786,
+  "[XXXXX639]": 50240,
+  "[XXXXX63]": 51061,
+  "[XXXXX640]": 50601,
+  "[XXXXX641]": 50904,
+  "[XXXXX642]": 50376,
+  "[XXXXX643]": 50663,
+  "[XXXXX644]": 50613,
+  "[XXXXX645]": 50467,
+  "[XXXXX646]": 50546,
+  "[XXXXX647]": 50465,
+  "[XXXXX648]": 50395,
+  "[XXXXX649]": 50287,
+  "[XXXXX64]": 51162,
+  "[XXXXX650]": 50474,
+  "[XXXXX651]": 50727,
+  "[XXXXX652]": 50243,
+  "[XXXXX653]": 51100,
+  "[XXXXX654]": 50705,
+  "[XXXXX655]": 51012,
+  "[XXXXX656]": 50447,
+  "[XXXXX657]": 50719,
+  "[XXXXX658]": 50712,
+  "[XXXXX659]": 50476,
+  "[XXXXX65]": 50587,
+  "[XXXXX660]": 51054,
+  "[XXXXX661]": 51166,
+  "[XXXXX662]": 50494,
+  "[XXXXX663]": 50230,
+  "[XXXXX664]": 50621,
+  "[XXXXX665]": 50809,
+  "[XXXXX666]": 50265,
+  "[XXXXX667]": 50645,
+  "[XXXXX668]": 50817,
+  "[XXXXX669]": 50030,
+  "[XXXXX66]": 51029,
+  "[XXXXX670]": 51004,
+  "[XXXXX671]": 50685,
+  "[XXXXX672]": 50625,
+  "[XXXXX673]": 50890,
+  "[XXXXX674]": 50383,
+  "[XXXXX675]": 50929,
+  "[XXXXX676]": 50116,
+  "[XXXXX677]": 51072,
+  "[XXXXX678]": 51126,
+  "[XXXXX679]": 50755,
+  "[XXXXX67]": 50717,
+  "[XXXXX680]": 50303,
+  "[XXXXX681]": 50504,
+  "[XXXXX682]": 51075,
+  "[XXXXX683]": 50261,
+  "[XXXXX684]": 50861,
+  "[XXXXX685]": 50306,
+  "[XXXXX686]": 50016,
+  "[XXXXX687]": 50101,
+  "[XXXXX688]": 51098,
+  "[XXXXX689]": 50827,
+  "[XXXXX68]": 50863,
+  "[XXXXX690]": 50640,
+  "[XXXXX691]": 50031,
+  "[XXXXX692]": 50768,
+  "[XXXXX693]": 50013,
+  "[XXXXX694]": 51032,
+  "[XXXXX695]": 50166,
+  "[XXXXX696]": 50127,
+  "[XXXXX697]": 50414,
+  "[XXXXX698]": 50742,
+  "[XXXXX699]": 51042,
+  "[XXXXX69]": 51112,
+  "[XXXXX6]": 50593,
+  "[XXXXX700]": 50292,
+  "[XXXXX701]": 50174,
+  "[XXXXX702]": 50547,
+  "[XXXXX703]": 50498,
+  "[XXXXX704]": 51078,
+  "[XXXXX705]": 50133,
+  "[XXXXX706]": 50041,
+  "[XXXXX707]": 51181,
+  "[XXXXX708]": 50585,
+  "[XXXXX709]": 50776,
+  "[XXXXX70]": 50053,
+  "[XXXXX710]": 50336,
+  "[XXXXX711]": 50765,
+  "[XXXXX712]": 50224,
+  "[XXXXX713]": 50599,
+  "[XXXXX714]": 50207,
+  "[XXXXX715]": 51043,
+  "[XXXXX716]": 51090,
+  "[XXXXX717]": 50006,
+  "[XXXXX718]": 50901,
+  "[XXXXX719]": 51001,
+  "[XXXXX71]": 50954,
+  "[XXXXX720]": 50646,
+  "[XXXXX721]": 50075,
+  "[XXXXX722]": 51120,
+  "[XXXXX723]": 50215,
+  "[XXXXX724]": 50415,
+  "[XXXXX725]": 50154,
+  "[XXXXX726]": 50935,
+  "[XXXXX727]": 50545,
+  "[XXXXX728]": 51085,
+  "[XXXXX729]": 50256,
+  "[XXXXX72]": 50363,
+  "[XXXXX730]": 50700,
+  "[XXXXX731]": 50262,
+  "[XXXXX732]": 50930,
+  "[XXXXX733]": 50333,
+  "[XXXXX734]": 50884,
+  "[XXXXX735]": 51030,
+  "[XXXXX736]": 50231,
+  "[XXXXX737]": 50405,
+  "[XXXXX738]": 50962,
+  "[XXXXX739]": 50458,
+  "[XXXXX73]": 50019,
+  "[XXXXX740]": 50878,
+  "[XXXXX741]": 50910,
+  "[XXXXX742]": 50170,
+  "[XXXXX743]": 50718,
+  "[XXXXX744]": 50616,
+  "[XXXXX745]": 50358,
+  "[XXXXX746]": 50152,
+  "[XXXXX747]": 50525,
+  "[XXXXX748]": 51167,
+  "[XXXXX749]": 50653,
+  "[XXXXX74]": 50952,
+  "[XXXXX750]": 50500,
+  "[XXXXX751]": 50446,
+  "[XXXXX752]": 50995,
+  "[XXXXX753]": 50945,
+  "[XXXXX754]": 51173,
+  "[XXXXX755]": 50823,
+  "[XXXXX756]": 51060,
+  "[XXXXX757]": 50748,
+  "[XXXXX758]": 50020,
+  "[XXXXX759]": 50197,
+  "[XXXXX75]": 50502,
+  "[XXXXX760]": 50291,
+  "[XXXXX761]": 50821,
+  "[XXXXX762]": 50190,
+  "[XXXXX763]": 50745,
+  "[XXXXX764]": 50778,
+  "[XXXXX765]": 50556,
+  "[XXXXX766]": 51161,
+  "[XXXXX767]": 50466,
+  "[XXXXX768]": 50792,
+  "[XXXXX769]": 50208,
+  "[XXXXX76]": 50169,
+  "[XXXXX770]": 50647,
+  "[XXXXX771]": 50610,
+  "[XXXXX772]": 51140,
+  "[XXXXX773]": 50441,
+  "[XXXXX774]": 50870,
+  "[XXXXX775]": 50368,
+  "[XXXXX776]": 50026,
+  "[XXXXX777]": 50677,
+  "[XXXXX778]": 51168,
+  "[XXXXX779]": 50481,
+  "[XXXXX77]": 50515,
+  "[XXXXX780]": 50225,
+  "[XXXXX781]": 50408,
+  "[XXXXX782]": 50090,
+  "[XXXXX783]": 50951,
+  "[XXXXX784]": 50015,
+  "[XXXXX785]": 50658,
+  "[XXXXX786]": 50617,
+  "[XXXXX787]": 50721,
+  "[XXXXX788]": 51084,
+  "[XXXXX789]": 50830,
+  "[XXXXX78]": 50100,
+  "[XXXXX790]": 50606,
+  "[XXXXX791]": 50124,
+  "[XXXXX792]": 50078,
+  "[XXXXX793]": 51188,
+  "[XXXXX794]": 50750,
+  "[XXXXX795]": 50138,
+  "[XXXXX796]": 50239,
+  "[XXXXX797]": 50385,
+  "[XXXXX798]": 50780,
+  "[XXXXX799]": 50683,
+  "[XXXXX79]": 50436,
+  "[XXXXX7]": 50211,
+  "[XXXXX800]": 51185,
+  "[XXXXX801]": 50250,
+  "[XXXXX802]": 50456,
+  "[XXXXX803]": 50508,
+  "[XXXXX804]": 51194,
+  "[XXXXX805]": 50021,
+  "[XXXXX806]": 50307,
+  "[XXXXX807]": 50199,
+  "[XXXXX808]": 51129,
+  "[XXXXX809]": 50686,
+  "[XXXXX80]": 50370,
+  "[XXXXX810]": 50343,
+  "[XXXXX811]": 50614,
+  "[XXXXX812]": 50636,
+  "[XXXXX813]": 51198,
+  "[XXXXX814]": 50788,
+  "[XXXXX815]": 50120,
+  "[XXXXX816]": 50135,
+  "[XXXXX817]": 50293,
+  "[XXXXX818]": 50153,
+  "[XXXXX819]": 50516,
+  "[XXXXX81]": 50581,
+  "[XXXXX820]": 50586,
+  "[XXXXX821]": 50509,
+  "[XXXXX822]": 50220,
+  "[XXXXX823]": 51068,
+  "[XXXXX824]": 50946,
+  "[XXXXX825]": 50965,
+  "[XXXXX826]": 50032,
+  "[XXXXX827]": 50156,
+  "[XXXXX828]": 50449,
+  "[XXXXX829]": 50531,
+  "[XXXXX82]": 51164,
+  "[XXXXX830]": 50486,
+  "[XXXXX831]": 50357,
+  "[XXXXX832]": 51022,
+  "[XXXXX833]": 50633,
+  "[XXXXX834]": 50754,
+  "[XXXXX835]": 51134,
+  "[XXXXX836]": 50193,
+  "[XXXXX837]": 51088,
+  "[XXXXX838]": 50722,
+  "[XXXXX839]": 50756,
+  "[XXXXX83]": 50977,
+  "[XXXXX840]": 50022,
+  "[XXXXX841]": 51186,
+  "[XXXXX842]": 50575,
+  "[XXXXX843]": 50079,
+  "[XXXXX844]": 50644,
+  "[XXXXX845]": 51033,
+  "[XXXXX846]": 50454,
+  "[XXXXX847]": 50095,
+  "[XXXXX848]": 50902,
+  "[XXXXX849]": 50597,
+  "[XXXXX84]": 50167,
+  "[XXXXX850]": 51051,
+  "[XXXXX851]": 50696,
+  "[XXXXX852]": 50966,
+  "[XXXXX853]": 50034,
+  "[XXXXX854]": 50889,
+  "[XXXXX855]": 50843,
+  "[XXXXX856]": 50963,
+  "[XXXXX857]": 50227,
+  "[XXXXX858]": 51058,
+  "[XXXXX859]": 50850,
+  "[XXXXX85]": 50192,
+  "[XXXXX860]": 50228,
+  "[XXXXX861]": 50570,
+  "[XXXXX862]": 50488,
+  "[XXXXX863]": 50539,
+  "[XXXXX864]": 51182,
+  "[XXXXX865]": 50990,
+  "[XXXXX866]": 50542,
+  "[XXXXX867]": 51069,
+  "[XXXXX868]": 50480,
+  "[XXXXX869]": 50847,
+  "[XXXXX86]": 50874,
+  "[XXXXX870]": 50308,
+  "[XXXXX871]": 50510,
+  "[XXXXX872]": 50423,
+  "[XXXXX873]": 50086,
+  "[XXXXX874]": 50591,
+  "[XXXXX875]": 50728,
+  "[XXXXX876]": 50372,
+  "[XXXXX877]": 50903,
+  "[XXXXX878]": 50868,
+  "[XXXXX879]": 50763,
+  "[XXXXX87]": 50571,
+  "[XXXXX880]": 50096,
+  "[XXXXX881]": 51150,
+  "[XXXXX882]": 50460,
+  "[XXXXX883]": 51087,
+  "[XXXXX884]": 51093,
+  "[XXXXX885]": 50295,
+  "[XXXXX886]": 51037,
+  "[XXXXX887]": 51171,
+  "[XXXXX888]": 50794,
+  "[XXXXX889]": 50628,
+  "[XXXXX88]": 50520,
+  "[XXXXX890]": 51172,
+  "[XXXXX891]": 51046,
+  "[XXXXX892]": 50918,
+  "[XXXXX893]": 50998,
+  "[XXXXX894]": 50371,
+  "[XXXXX895]": 51155,
+  "[XXXXX896]": 50866,
+  "[XXXXX897]": 50229,
+  "[XXXXX898]": 51057,
+  "[XXXXX899]": 50867,
+  "[XXXXX89]": 50537,
+  "[XXXXX8]": 50784,
+  "[XXXXX900]": 50739,
+  "[XXXXX901]": 51080,
+  "[XXXXX902]": 50038,
+  "[XXXXX903]": 50321,
+  "[XXXXX904]": 50774,
+  "[XXXXX905]": 50974,
+  "[XXXXX906]": 50920,
+  "[XXXXX907]": 50469,
+  "[XXXXX908]": 51122,
+  "[XXXXX909]": 51092,
+  "[XXXXX90]": 50514,
+  "[XXXXX910]": 50798,
+  "[XXXXX911]": 50245,
+  "[XXXXX912]": 50367,
+  "[XXXXX913]": 50618,
+  "[XXXXX914]": 50072,
+  "[XXXXX915]": 50450,
+  "[XXXXX916]": 51189,
+  "[XXXXX917]": 50485,
+  "[XXXXX918]": 50283,
+  "[XXXXX919]": 50845,
+  "[XXXXX91]": 50968,
+  "[XXXXX920]": 50429,
+  "[XXXXX921]": 50364,
+  "[XXXXX922]": 50782,
+  "[XXXXX923]": 50534,
+  "[XXXXX924]": 50059,
+  "[XXXXX925]": 50102,
+  "[XXXXX926]": 50185,
+  "[XXXXX927]": 50634,
+  "[XXXXX928]": 50567,
+  "[XXXXX929]": 50895,
+  "[XXXXX92]": 50210,
+  "[XXXXX930]": 50561,
+  "[XXXXX931]": 51021,
+  "[XXXXX932]": 50107,
+  "[XXXXX933]": 50407,
+  "[XXXXX934]": 50654,
+  "[XXXXX935]": 50268,
+  "[XXXXX936]": 51153,
+  "[XXXXX937]": 50552,
+  "[XXXXX938]": 50526,
+  "[XXXXX939]": 50322,
+  "[XXXXX93]": 50912,
+  "[XXXXX940]": 50296,
+  "[XXXXX941]": 50572,
+  "[XXXXX942]": 50393,
+  "[XXXXX943]": 50312,
+  "[XXXXX944]": 50592,
+  "[XXXXX945]": 50982,
+  "[XXXXX946]": 50089,
+  "[XXXXX947]": 50331,
+  "[XXXXX948]": 50279,
+  "[XXXXX949]": 51005,
+  "[XXXXX94]": 50198,
+  "[XXXXX950]": 50114,
+  "[XXXXX951]": 50074,
+  "[XXXXX952]": 50248,
+  "[XXXXX953]": 50857,
+  "[XXXXX954]": 50841,
+  "[XXXXX955]": 51065,
+  "[XXXXX956]": 50234,
+  "[XXXXX957]": 50834,
+  "[XXXXX958]": 50535,
+  "[XXXXX959]": 51109,
+  "[XXXXX95]": 50651,
+  "[XXXXX960]": 50797,
+  "[XXXXX961]": 50914,
+  "[XXXXX962]": 50112,
+  "[XXXXX963]": 50073,
+  "[XXXXX964]": 50559,
+  "[XXXXX965]": 50933,
+  "[XXXXX966]": 50619,
+  "[XXXXX967]": 51187,
+  "[XXXXX968]": 50327,
+  "[XXXXX969]": 50698,
+  "[XXXXX96]": 50420,
+  "[XXXXX970]": 50060,
+  "[XXXXX971]": 50432,
+  "[XXXXX972]": 50620,
+  "[XXXXX973]": 50693,
+  "[XXXXX974]": 50938,
+  "[XXXXX975]": 50983,
+  "[XXXXX976]": 50334,
+  "[XXXXX977]": 50438,
+  "[XXXXX978]": 51154,
+  "[XXXXX979]": 50964,
+  "[XXXXX97]": 50672,
+  "[XXXXX980]": 50511,
+  "[XXXXX981]": 50244,
+  "[XXXXX982]": 50266,
+  "[XXXXX983]": 50134,
+  "[XXXXX984]": 50338,
+  "[XXXXX985]": 51121,
+  "[XXXXX986]": 50323,
+  "[XXXXX987]": 50909,
+  "[XXXXX988]": 51000,
+  "[XXXXX989]": 50036,
+  "[XXXXX98]": 50787,
+  "[XXXXX990]": 50512,
+  "[XXXXX991]": 50191,
+  "[XXXXX992]": 50187,
+  "[XXXXX993]": 51156,
+  "[XXXXX994]": 51135,
+  "[XXXXX995]": 50355,
+  "[XXXXX996]": 51027,
+  "[XXXXX997]": 50297,
+  "[XXXXX998]": 50928,
+  "[XXXXX999]": 50697,
+  "[XXXXX99]": 50980,
+  "[XXXXX9]": 50961
+}
diff --git a/checkpoint-9000/config.json b/checkpoint-9000/config.json
new file mode 100644
index 0000000..000c292
--- /dev/null
+++ b/checkpoint-9000/config.json
@@ -0,0 +1,34 @@
+{
+  "activation_function": "gelu",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50000,
+  "dtype": "bfloat16",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50001,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 512,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": 3072,
+  "n_layer": 12,
+  "n_positions": 512,
+  "pad_token_id": 50002,
+  "prefix": "[CLS]",
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "vocab_size": 51200
+}
diff --git a/checkpoint-9000/generation_config.json b/checkpoint-9000/generation_config.json
new file mode 100644
index 0000000..4c122f0
--- /dev/null
+++ b/checkpoint-9000/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50000,
+  "eos_token_id": [
+    50001
+  ],
+  "pad_token_id": 50002,
+  "transformers_version": "4.56.2"
+}
diff --git a/checkpoint-9000/model.safetensors b/checkpoint-9000/model.safetensors
new file mode 100644
index 0000000..89c1acd
--- /dev/null
+++ b/checkpoint-9000/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f2e9db2c5c3e15169e23b3693fc85233b903671309e2ac8f4df86405cb5874f
+size 249556672
diff --git a/checkpoint-9000/rng_state.pth b/checkpoint-9000/rng_state.pth
new file mode 100644
index 0000000..dd742cb
--- /dev/null
+++ b/checkpoint-9000/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a918705e67010d676534d289095276e43a39ee538a1fe9ce74e90e94ef039633
+size 14645
diff --git a/checkpoint-9000/special_tokens_map.json b/checkpoint-9000/special_tokens_map.json
new file mode 100644
index 0000000..c78a835
--- /dev/null
+++ b/checkpoint-9000/special_tokens_map.json
@@ -0,0 +1,1249 @@
+{
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/checkpoint-9000/spiece.model b/checkpoint-9000/spiece.model
new file mode 100644
index 0000000..85d6e93
--- /dev/null
+++ b/checkpoint-9000/spiece.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:762a1e078899c6ba7ef62ef873a57b860c51cc0518791854659b58b4c89742fe
+size 1170764
diff --git a/checkpoint-9000/tokenizer_config.json b/checkpoint-9000/tokenizer_config.json
new file mode 100644
index 0000000..b27d01f
--- /dev/null
+++ b/checkpoint-9000/tokenizer_config.json
@@ -0,0 +1,10825 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50000": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50001": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50002": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50003": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50004": {
+      "content": "[XXXXX160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50005": {
+      "content": "[XXXXX240]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50006": {
+      "content": "[XXXXX717]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50007": {
+      "content": "[XXXXX23]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50008": {
+      "content": "[XXXXX161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50009": {
+      "content": "[XXXXX1156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50010": {
+      "content": "[XXXXX5]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50011": {
+      "content": "[XXXXX597]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50012": {
+      "content": "[XXXXX415]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50013": {
+      "content": "[XXXXX693]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50014": {
+      "content": "[XXXXX1083]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50015": {
+      "content": "[XXXXX784]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50016": {
+      "content": "[XXXXX686]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50017": {
+      "content": "[XXXXX379]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50018": {
+      "content": "[XXXXX335]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50019": {
+      "content": "[XXXXX73]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50020": {
+      "content": "[XXXXX758]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50021": {
+      "content": "[XXXXX805]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50022": {
+      "content": "[XXXXX840]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50023": {
+      "content": "[XXXXX1037]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50024": {
+      "content": "[XXXXX235]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50025": {
+      "content": "[XXXXX1107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50026": {
+      "content": "[XXXXX776]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50027": {
+      "content": "[XXXXX286]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50028": {
+      "content": "[XXXXX396]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50029": {
+      "content": "[XXXXX478]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50030": {
+      "content": "[XXXXX669]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50031": {
+      "content": "[XXXXX691]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50032": {
+      "content": "[XXXXX826]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50033": {
+      "content": "[XXXXX1150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50034": {
+      "content": "[XXXXX853]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50035": {
+      "content": "[XXXXX130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50036": {
+      "content": "[XXXXX989]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50037": {
+      "content": "[XXXXX249]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50038": {
+      "content": "[XXXXX902]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50039": {
+      "content": "[XXXXX1169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50040": {
+      "content": "[XXXXX260]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50041": {
+      "content": "[XXXXX706]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50042": {
+      "content": "[XXXXX146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50043": {
+      "content": "[XXXXX198]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50044": {
+      "content": "[XXXXX303]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50045": {
+      "content": "[XXXXX1192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50046": {
+      "content": "[XXXXX635]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50047": {
+      "content": "[XXXXX271]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50048": {
+      "content": "[XXXXX1023]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50049": {
+      "content": "[XXXXX602]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50050": {
+      "content": "[XXXXX291]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50051": {
+      "content": "[XXXXX190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50052": {
+      "content": "[XXXXX1055]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50053": {
+      "content": "[XXXXX70]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50054": {
+      "content": "[XXXXX178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50055": {
+      "content": "[XXXXX318]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50056": {
+      "content": "[XXXXX62]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50057": {
+      "content": "[XXXXX473]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50058": {
+      "content": "[XXXXX517]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50059": {
+      "content": "[XXXXX924]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50060": {
+      "content": "[XXXXX970]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50061": {
+      "content": "[XXXXX1033]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50062": {
+      "content": "[XXXXX110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50063": {
+      "content": "[XXXXX1151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50064": {
+      "content": "[XXXXX1189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50065": {
+      "content": "[XXXXX1095]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50066": {
+      "content": "[XXXXX148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50067": {
+      "content": "[XXXXX337]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50068": {
+      "content": "[XXXXX245]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50069": {
+      "content": "[XXXXX407]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50070": {
+      "content": "[XXXXX557]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50071": {
+      "content": "[XXXXX576]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50072": {
+      "content": "[XXXXX914]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50073": {
+      "content": "[XXXXX963]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50074": {
+      "content": "[XXXXX951]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50075": {
+      "content": "[XXXXX721]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50076": {
+      "content": "[XXXXX1174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50077": {
+      "content": "[XXXXX3]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50078": {
+      "content": "[XXXXX792]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50079": {
+      "content": "[XXXXX843]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50080": {
+      "content": "[XXXXX590]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50081": {
+      "content": "[XXXXX118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50082": {
+      "content": "[XXXXX280]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50083": {
+      "content": "[XXXXX1119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50084": {
+      "content": "[XXXXX1025]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50085": {
+      "content": "[XXXXX140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50086": {
+      "content": "[XXXXX873]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50087": {
+      "content": "[XXXXX103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50088": {
+      "content": "[XXXXX307]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50089": {
+      "content": "[XXXXX946]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50090": {
+      "content": "[XXXXX782]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50091": {
+      "content": "[XXXXX100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50092": {
+      "content": "[XXXXX485]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50093": {
+      "content": "[XXXXX151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50094": {
+      "content": "[XXXXX213]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50095": {
+      "content": "[XXXXX847]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50096": {
+      "content": "[XXXXX880]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50097": {
+      "content": "[XXXXX44]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50098": {
+      "content": "[XXXXX1031]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50099": {
+      "content": "[XXXXX545]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50100": {
+      "content": "[XXXXX78]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50101": {
+      "content": "[XXXXX687]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50102": {
+      "content": "[XXXXX925]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50103": {
+      "content": "[XXXXX519]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50104": {
+      "content": "[XXXXX1191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50105": {
+      "content": "[XXXXX13]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50106": {
+      "content": "[XXXXX487]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50107": {
+      "content": "[XXXXX932]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50108": {
+      "content": "[XXXXX119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50109": {
+      "content": "[XXXXX170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50110": {
+      "content": "[XXXXX254]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50111": {
+      "content": "[XXXXX420]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50112": {
+      "content": "[XXXXX962]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50113": {
+      "content": "[XXXXX441]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50114": {
+      "content": "[XXXXX950]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50115": {
+      "content": "[XXXXX18]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50116": {
+      "content": "[XXXXX676]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50117": {
+      "content": "[XXXXX1133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50118": {
+      "content": "[XXXXX618]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50119": {
+      "content": "[XXXXX374]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50120": {
+      "content": "[XXXXX815]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50121": {
+      "content": "[XXXXX1058]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50122": {
+      "content": "[XXXXX1108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50123": {
+      "content": "[XXXXX1144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50124": {
+      "content": "[XXXXX791]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50125": {
+      "content": "[XXXXX259]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50126": {
+      "content": "[XXXXX1074]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50127": {
+      "content": "[XXXXX696]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50128": {
+      "content": "[XXXXX1168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50129": {
+      "content": "[XXXXX592]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50130": {
+      "content": "[XXXXX127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50131": {
+      "content": "[XXXXX136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50132": {
+      "content": "[XXXXX237]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50133": {
+      "content": "[XXXXX705]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50134": {
+      "content": "[XXXXX983]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50135": {
+      "content": "[XXXXX816]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50136": {
+      "content": "[XXXXX412]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50137": {
+      "content": "[XXXXX410]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50138": {
+      "content": "[XXXXX795]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50139": {
+      "content": "[XXXXX101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50140": {
+      "content": "[XXXXX171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50141": {
+      "content": "[XXXXX628]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50142": {
+      "content": "[XXXXX1038]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50143": {
+      "content": "[XXXXX447]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50144": {
+      "content": "[XXXXX1043]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50145": {
+      "content": "[XXXXX147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50146": {
+      "content": "[XXXXX1112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50147": {
+      "content": "[XXXXX186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50148": {
+      "content": "[XXXXX461]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50149": {
+      "content": "[XXXXX423]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50150": {
+      "content": "[XXXXX26]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50151": {
+      "content": "[XXXXX227]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50152": {
+      "content": "[XXXXX746]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50153": {
+      "content": "[XXXXX818]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50154": {
+      "content": "[XXXXX725]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50155": {
+      "content": "[XXXXX400]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50156": {
+      "content": "[XXXXX827]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50157": {
+      "content": "[XXXXX1020]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50158": {
+      "content": "[XXXXX1060]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50159": {
+      "content": "[XXXXX195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50160": {
+      "content": "[XXXXX526]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50161": {
+      "content": "[XXXXX570]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50162": {
+      "content": "[XXXXX174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50163": {
+      "content": "[XXXXX333]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50164": {
+      "content": "[XXXXX466]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50165": {
+      "content": "[XXXXX513]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50166": {
+      "content": "[XXXXX695]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50167": {
+      "content": "[XXXXX84]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50168": {
+      "content": "[XXXXX1080]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50169": {
+      "content": "[XXXXX76]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50170": {
+      "content": "[XXXXX742]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50171": {
+      "content": "[XXXXX1008]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50172": {
+      "content": "[XXXXX1123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50173": {
+      "content": "[XXXXX1145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50174": {
+      "content": "[XXXXX701]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50175": {
+      "content": "[XXXXX562]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50176": {
+      "content": "[XXXXX615]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50177": {
+      "content": "[XXXXX389]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50178": {
+      "content": "[XXXXX267]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50179": {
+      "content": "[XXXXX323]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50180": {
+      "content": "[XXXXX346]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50181": {
+      "content": "[XXXXX287]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50182": {
+      "content": "[XXXXX469]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50183": {
+      "content": "[XXXXX58]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50184": {
+      "content": "[XXXXX431]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50185": {
+      "content": "[XXXXX926]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50186": {
+      "content": "[XXXXX1182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50187": {
+      "content": "[XXXXX992]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50188": {
+      "content": "[XXXXX185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50189": {
+      "content": "[XXXXX352]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50190": {
+      "content": "[XXXXX762]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50191": {
+      "content": "[XXXXX991]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50192": {
+      "content": "[XXXXX85]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50193": {
+      "content": "[XXXXX836]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50194": {
+      "content": "[XXXXX460]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50195": {
+      "content": "[XXXXX272]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50196": {
+      "content": "[XXXXX619]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50197": {
+      "content": "[XXXXX759]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50198": {
+      "content": "[XXXXX94]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50199": {
+      "content": "[XXXXX807]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50200": {
+      "content": "[XXXXX299]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50201": {
+      "content": "[XXXXX187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50202": {
+      "content": "[XXXXX486]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50203": {
+      "content": "[XXXXX45]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50204": {
+      "content": "[XXXXX1036]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50205": {
+      "content": "[XXXXX354]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50206": {
+      "content": "[XXXXX386]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50207": {
+      "content": "[XXXXX714]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50208": {
+      "content": "[XXXXX769]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50209": {
+      "content": "[XXXXX304]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50210": {
+      "content": "[XXXXX92]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50211": {
+      "content": "[XXXXX7]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50212": {
+      "content": "[XXXXX31]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50213": {
+      "content": "[XXXXX102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50214": {
+      "content": "[XXXXX163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50215": {
+      "content": "[XXXXX723]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50216": {
+      "content": "[XXXXX1042]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50217": {
+      "content": "[XXXXX452]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50218": {
+      "content": "[XXXXX622]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50219": {
+      "content": "[XXXXX1056]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50220": {
+      "content": "[XXXXX822]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50221": {
+      "content": "[XXXXX125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50222": {
+      "content": "[XXXXX617]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50223": {
+      "content": "[XXXXX34]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50224": {
+      "content": "[XXXXX712]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50225": {
+      "content": "[XXXXX780]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50226": {
+      "content": "[XXXXX547]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50227": {
+      "content": "[XXXXX857]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50228": {
+      "content": "[XXXXX860]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50229": {
+      "content": "[XXXXX897]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50230": {
+      "content": "[XXXXX663]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50231": {
+      "content": "[XXXXX736]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50232": {
+      "content": "[XXXXX202]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50233": {
+      "content": "[XXXXX1029]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50234": {
+      "content": "[XXXXX956]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50235": {
+      "content": "[XXXXX397]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50236": {
+      "content": "[XXXXX239]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50237": {
+      "content": "[XXXXX472]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50238": {
+      "content": "[XXXXX230]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50239": {
+      "content": "[XXXXX796]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50240": {
+      "content": "[XXXXX639]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50241": {
+      "content": "[XXXXX203]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50242": {
+      "content": "[XXXXX231]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50243": {
+      "content": "[XXXXX652]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50244": {
+      "content": "[XXXXX981]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50245": {
+      "content": "[XXXXX911]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50246": {
+      "content": "[XXXXX380]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50247": {
+      "content": "[XXXXX477]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50248": {
+      "content": "[XXXXX952]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50249": {
+      "content": "[XXXXX28]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50250": {
+      "content": "[XXXXX801]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50251": {
+      "content": "[XXXXX1134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50252": {
+      "content": "[XXXXX1176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50253": {
+      "content": "[XXXXX180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50254": {
+      "content": "[XXXXX598]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50255": {
+      "content": "[XXXXX365]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50256": {
+      "content": "[XXXXX729]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50257": {
+      "content": "[XXXXX214]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50258": {
+      "content": "[XXXXX1117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50259": {
+      "content": "[XXXXX278]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50260": {
+      "content": "[XXXXX522]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50261": {
+      "content": "[XXXXX683]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50262": {
+      "content": "[XXXXX731]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50263": {
+      "content": "[XXXXX312]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "[XXXXX1178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50265": {
+      "content": "[XXXXX666]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50266": {
+      "content": "[XXXXX982]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50267": {
+      "content": "[XXXXX414]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50268": {
+      "content": "[XXXXX935]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50269": {
+      "content": "[XXXXX1089]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50270": {
+      "content": "[XXXXX236]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50271": {
+      "content": "[XXXXX463]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50272": {
+      "content": "[XXXXX52]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50273": {
+      "content": "[XXXXX593]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50274": {
+      "content": "[XXXXX508]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50275": {
+      "content": "[XXXXX1125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50276": {
+      "content": "[XXXXX462]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50277": {
+      "content": "[XXXXX32]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50278": {
+      "content": "[XXXXX596]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50279": {
+      "content": "[XXXXX948]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50280": {
+      "content": "[XXXXX150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50281": {
+      "content": "[XXXXX322]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50282": {
+      "content": "[XXXXX390]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50283": {
+      "content": "[XXXXX918]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50284": {
+      "content": "[XXXXX157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50285": {
+      "content": "[XXXXX310]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50286": {
+      "content": "[XXXXX392]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50287": {
+      "content": "[XXXXX649]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50288": {
+      "content": "[XXXXX158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50289": {
+      "content": "[XXXXX430]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50290": {
+      "content": "[XXXXX384]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50291": {
+      "content": "[XXXXX760]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50292": {
+      "content": "[XXXXX700]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50293": {
+      "content": "[XXXXX817]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50294": {
+      "content": "[XXXXX115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50295": {
+      "content": "[XXXXX885]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50296": {
+      "content": "[XXXXX940]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50297": {
+      "content": "[XXXXX997]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50298": {
+      "content": "[XXXXX61]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50299": {
+      "content": "[XXXXX209]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50300": {
+      "content": "[XXXXX316]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50301": {
+      "content": "[XXXXX537]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50302": {
+      "content": "[XXXXX599]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50303": {
+      "content": "[XXXXX680]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50304": {
+      "content": "[XXXXX135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50305": {
+      "content": "[XXXXX39]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50306": {
+      "content": "[XXXXX685]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50307": {
+      "content": "[XXXXX806]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50308": {
+      "content": "[XXXXX870]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50309": {
+      "content": "[XXXXX1096]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50310": {
+      "content": "[XXXXX366]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50311": {
+      "content": "[XXXXX509]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50312": {
+      "content": "[XXXXX943]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50313": {
+      "content": "[XXXXX292]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50314": {
+      "content": "[XXXXX367]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50315": {
+      "content": "[XXXXX632]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50316": {
+      "content": "[XXXXX1136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50317": {
+      "content": "[XXXXX156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50318": {
+      "content": "[XXXXX1100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50319": {
+      "content": "[XXXXX432]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50320": {
+      "content": "[XXXXX514]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50321": {
+      "content": "[XXXXX903]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50322": {
+      "content": "[XXXXX939]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50323": {
+      "content": "[XXXXX986]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50324": {
+      "content": "[XXXXX506]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50325": {
+      "content": "[XXXXX10]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50326": {
+      "content": "[XXXXX573]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50327": {
+      "content": "[XXXXX968]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50328": {
+      "content": "[XXXXX1039]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50329": {
+      "content": "[XXXXX252]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50330": {
+      "content": "[XXXXX612]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50331": {
+      "content": "[XXXXX947]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50332": {
+      "content": "[XXXXX1162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50333": {
+      "content": "[XXXXX733]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50334": {
+      "content": "[XXXXX976]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50335": {
+      "content": "[XXXXX535]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50336": {
+      "content": "[XXXXX710]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50337": {
+      "content": "[XXXXX40]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50338": {
+      "content": "[XXXXX984]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50339": {
+      "content": "[XXXXX584]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50340": {
+      "content": "[XXXXX132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50341": {
+      "content": "[XXXXX1084]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50342": {
+      "content": "[XXXXX549]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50343": {
+      "content": "[XXXXX810]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50344": {
+      "content": "[XXXXX208]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50345": {
+      "content": "[XXXXX609]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50346": {
+      "content": "[XXXXX275]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50347": {
+      "content": "[XXXXX262]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50348": {
+      "content": "[XXXXX331]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50349": {
+      "content": "[XXXXX361]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50350": {
+      "content": "[XXXXX561]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50351": {
+      "content": "[XXXXX143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50352": {
+      "content": "[XXXXX1061]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50353": {
+      "content": "[XXXXX59]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50354": {
+      "content": "[XXXXX21]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50355": {
+      "content": "[XXXXX995]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50356": {
+      "content": "[XXXXX439]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50357": {
+      "content": "[XXXXX831]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50358": {
+      "content": "[XXXXX745]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50359": {
+      "content": "[XXXXX43]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50360": {
+      "content": "[XXXXX498]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50361": {
+      "content": "[XXXXX575]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50362": {
+      "content": "[XXXXX624]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50363": {
+      "content": "[XXXXX72]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50364": {
+      "content": "[XXXXX921]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50365": {
+      "content": "[XXXXX201]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50366": {
+      "content": "[XXXXX1171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50367": {
+      "content": "[XXXXX912]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50368": {
+      "content": "[XXXXX775]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50369": {
+      "content": "[XXXXX1094]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50370": {
+      "content": "[XXXXX80]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50371": {
+      "content": "[XXXXX894]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50372": {
+      "content": "[XXXXX876]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50373": {
+      "content": "[XXXXX1143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50374": {
+      "content": "[XXXXX355]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50375": {
+      "content": "[XXXXX450]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50376": {
+      "content": "[XXXXX642]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50377": {
+      "content": "[XXXXX162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50378": {
+      "content": "[XXXXX394]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50379": {
+      "content": "[XXXXX296]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50380": {
+      "content": "[XXXXX536]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50381": {
+      "content": "[XXXXX560]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50382": {
+      "content": "[XXXXX373]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50383": {
+      "content": "[XXXXX674]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50384": {
+      "content": "[XXXXX1099]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50385": {
+      "content": "[XXXXX797]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50386": {
+      "content": "[XXXXX516]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50387": {
+      "content": "[XXXXX41]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50388": {
+      "content": "[XXXXX594]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50389": {
+      "content": "[XXXXX319]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50390": {
+      "content": "[XXXXX165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50391": {
+      "content": "[XXXXX344]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50392": {
+      "content": "[XXXXX1012]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50393": {
+      "content": "[XXXXX942]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50394": {
+      "content": "[XXXXX1071]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50395": {
+      "content": "[XXXXX648]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50396": {
+      "content": "[XXXXX4]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50397": {
+      "content": "[XXXXX633]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50398": {
+      "content": "[XXXXX551]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50399": {
+      "content": "[XXXXX586]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50400": {
+      "content": "[XXXXX578]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50401": {
+      "content": "[XXXXX348]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50402": {
+      "content": "[XXXXX614]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50403": {
+      "content": "[XXXXX33]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50404": {
+      "content": "[XXXXX1193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50405": {
+      "content": "[XXXXX737]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50406": {
+      "content": "[XXXXX233]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50407": {
+      "content": "[XXXXX933]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50408": {
+      "content": "[XXXXX781]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50409": {
+      "content": "[XXXXX189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50410": {
+      "content": "[XXXXX1006]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50411": {
+      "content": "[XXXXX219]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50412": {
+      "content": "[XXXXX454]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50413": {
+      "content": "[XXXXX449]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50414": {
+      "content": "[XXXXX697]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50415": {
+      "content": "[XXXXX724]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50416": {
+      "content": "[XXXXX224]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50417": {
+      "content": "[XXXXX1157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50418": {
+      "content": "[XXXXX455]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50419": {
+      "content": "[XXXXX505]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50420": {
+      "content": "[XXXXX96]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50421": {
+      "content": "[XXXXX182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50422": {
+      "content": "[XXXXX424]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50423": {
+      "content": "[XXXXX872]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50424": {
+      "content": "[XXXXX1163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50425": {
+      "content": "[XXXXX1081]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50426": {
+      "content": "[XXXXX1173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50427": {
+      "content": "[XXXXX172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50428": {
+      "content": "[XXXXX507]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50429": {
+      "content": "[XXXXX920]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50430": {
+      "content": "[XXXXX1126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50431": {
+      "content": "[XXXXX474]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50432": {
+      "content": "[XXXXX971]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50433": {
+      "content": "[XXXXX1049]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50434": {
+      "content": "[XXXXX1114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50435": {
+      "content": "[XXXXX1040]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50436": {
+      "content": "[XXXXX79]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50437": {
+      "content": "[XXXXX36]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50438": {
+      "content": "[XXXXX977]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50439": {
+      "content": "[XXXXX1129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50440": {
+      "content": "[XXXXX1063]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50441": {
+      "content": "[XXXXX773]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50442": {
+      "content": "[XXXXX16]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50443": {
+      "content": "[XXXXX113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50444": {
+      "content": "[XXXXX320]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50445": {
+      "content": "[XXXXX167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50446": {
+      "content": "[XXXXX751]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50447": {
+      "content": "[XXXXX656]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50448": {
+      "content": "[XXXXX543]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50449": {
+      "content": "[XXXXX828]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50450": {
+      "content": "[XXXXX915]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50451": {
+      "content": "[XXXXX1098]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50452": {
+      "content": "[XXXXX569]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50453": {
+      "content": "[XXXXX1166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50454": {
+      "content": "[XXXXX846]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50455": {
+      "content": "[XXXXX324]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50456": {
+      "content": "[XXXXX802]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50457": {
+      "content": "[XXXXX588]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50458": {
+      "content": "[XXXXX739]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50459": {
+      "content": "[XXXXX50]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50460": {
+      "content": "[XXXXX882]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50461": {
+      "content": "[XXXXX1054]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50462": {
+      "content": "[XXXXX621]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50463": {
+      "content": "[XXXXX585]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50464": {
+      "content": "[XXXXX121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50465": {
+      "content": "[XXXXX647]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50466": {
+      "content": "[XXXXX767]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50467": {
+      "content": "[XXXXX645]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50468": {
+      "content": "[XXXXX27]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50469": {
+      "content": "[XXXXX907]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50470": {
+      "content": "[XXXXX1109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50471": {
+      "content": "[XXXXX1147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50472": {
+      "content": "[XXXXX501]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50473": {
+      "content": "[XXXXX1164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50474": {
+      "content": "[XXXXX650]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50475": {
+      "content": "[XXXXX329]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50476": {
+      "content": "[XXXXX659]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50477": {
+      "content": "[XXXXX1158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50478": {
+      "content": "[XXXXX104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50479": {
+      "content": "[XXXXX629]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50480": {
+      "content": "[XXXXX868]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50481": {
+      "content": "[XXXXX779]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50482": {
+      "content": "[XXXXX17]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50483": {
+      "content": "[XXXXX377]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50484": {
+      "content": "[XXXXX467]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50485": {
+      "content": "[XXXXX917]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50486": {
+      "content": "[XXXXX830]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50487": {
+      "content": "[XXXXX533]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50488": {
+      "content": "[XXXXX862]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50489": {
+      "content": "[XXXXX1041]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50490": {
+      "content": "[XXXXX542]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50491": {
+      "content": "[XXXXX595]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50492": {
+      "content": "[XXXXX353]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50493": {
+      "content": "[XXXXX181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50494": {
+      "content": "[XXXXX662]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50495": {
+      "content": "[XXXXX1195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50496": {
+      "content": "[XXXXX435]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50497": {
+      "content": "[XXXXX1051]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50498": {
+      "content": "[XXXXX703]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50499": {
+      "content": "[XXXXX1140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50500": {
+      "content": "[XXXXX750]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50501": {
+      "content": "[XXXXX57]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50502": {
+      "content": "[XXXXX75]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50503": {
+      "content": "[XXXXX293]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50504": {
+      "content": "[XXXXX681]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50505": {
+      "content": "[XXXXX46]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50506": {
+      "content": "[XXXXX30]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50507": {
+      "content": "[XXXXX402]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50508": {
+      "content": "[XXXXX803]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50509": {
+      "content": "[XXXXX821]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50510": {
+      "content": "[XXXXX871]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50511": {
+      "content": "[XXXXX980]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50512": {
+      "content": "[XXXXX990]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50513": {
+      "content": "[XXXXX626]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50514": {
+      "content": "[XXXXX90]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50515": {
+      "content": "[XXXXX77]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50516": {
+      "content": "[XXXXX819]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50517": {
+      "content": "[XXXXX436]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50518": {
+      "content": "[XXXXX306]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50519": {
+      "content": "[XXXXX434]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50520": {
+      "content": "[XXXXX88]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50521": {
+      "content": "[XXXXX184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50522": {
+      "content": "[XXXXX290]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50523": {
+      "content": "[XXXXX216]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50524": {
+      "content": "[XXXXX176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50525": {
+      "content": "[XXXXX747]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50526": {
+      "content": "[XXXXX938]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50527": {
+      "content": "[XXXXX442]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50528": {
+      "content": "[XXXXX301]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50529": {
+      "content": "[XXXXX1015]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50530": {
+      "content": "[XXXXX520]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50531": {
+      "content": "[XXXXX829]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50532": {
+      "content": "[XXXXX106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50533": {
+      "content": "[XXXXX1048]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50534": {
+      "content": "[XXXXX923]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50535": {
+      "content": "[XXXXX958]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50536": {
+      "content": "[XXXXX1130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50537": {
+      "content": "[XXXXX89]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50538": {
+      "content": "[XXXXX548]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50539": {
+      "content": "[XXXXX863]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50540": {
+      "content": "[XXXXX444]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50541": {
+      "content": "[XXXXX1149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50542": {
+      "content": "[XXXXX866]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50543": {
+      "content": "[XXXXX109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50544": {
+      "content": "[XXXXX550]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50545": {
+      "content": "[XXXXX727]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50546": {
+      "content": "[XXXXX646]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50547": {
+      "content": "[XXXXX702]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50548": {
+      "content": "[XXXXX204]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50549": {
+      "content": "[XXXXX1000]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50550": {
+      "content": "[XXXXX591]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50551": {
+      "content": "[XXXXX1128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50552": {
+      "content": "[XXXXX937]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50553": {
+      "content": "[XXXXX141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50554": {
+      "content": "[XXXXX273]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50555": {
+      "content": "[XXXXX1183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50556": {
+      "content": "[XXXXX765]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50557": {
+      "content": "[XXXXX371]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50558": {
+      "content": "[XXXXX256]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50559": {
+      "content": "[XXXXX964]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50560": {
+      "content": "[XXXXX1148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50561": {
+      "content": "[XXXXX930]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50562": {
+      "content": "[XXXXX212]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50563": {
+      "content": "[XXXXX133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50564": {
+      "content": "[XXXXX608]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50565": {
+      "content": "[XXXXX281]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50566": {
+      "content": "[XXXXX1045]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50567": {
+      "content": "[XXXXX928]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50568": {
+      "content": "[XXXXX1154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50569": {
+      "content": "[XXXXX334]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50570": {
+      "content": "[XXXXX861]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50571": {
+      "content": "[XXXXX87]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50572": {
+      "content": "[XXXXX941]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50573": {
+      "content": "[XXXXX359]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50574": {
+      "content": "[XXXXX55]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50575": {
+      "content": "[XXXXX842]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50576": {
+      "content": "[XXXXX427]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50577": {
+      "content": "[XXXXX491]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50578": {
+      "content": "[XXXXX137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50579": {
+      "content": "[XXXXX47]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50580": {
+      "content": "[XXXXX511]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50581": {
+      "content": "[XXXXX81]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50582": {
+      "content": "[XXXXX139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50583": {
+      "content": "[XXXXX226]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50584": {
+      "content": "[XXXXX563]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50585": {
+      "content": "[XXXXX708]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50586": {
+      "content": "[XXXXX820]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50587": {
+      "content": "[XXXXX65]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50588": {
+      "content": "[XXXXX381]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50589": {
+      "content": "[XXXXX22]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50590": {
+      "content": "[XXXXX1064]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50591": {
+      "content": "[XXXXX874]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50592": {
+      "content": "[XXXXX944]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50593": {
+      "content": "[XXXXX6]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50594": {
+      "content": "[XXXXX313]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50595": {
+      "content": "[XXXXX471]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50596": {
+      "content": "[XXXXX1118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50597": {
+      "content": "[XXXXX849]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50598": {
+      "content": "[XXXXX483]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50599": {
+      "content": "[XXXXX713]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50600": {
+      "content": "[XXXXX222]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50601": {
+      "content": "[XXXXX640]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50602": {
+      "content": "[XXXXX12]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50603": {
+      "content": "[XXXXX285]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50604": {
+      "content": "[XXXXX327]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50605": {
+      "content": "[XXXXX378]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50606": {
+      "content": "[XXXXX790]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50607": {
+      "content": "[XXXXX1179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50608": {
+      "content": "[XXXXX15]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50609": {
+      "content": "[XXXXX229]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50610": {
+      "content": "[XXXXX771]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50611": {
+      "content": "[XXXXX559]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50612": {
+      "content": "[XXXXX253]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50613": {
+      "content": "[XXXXX644]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50614": {
+      "content": "[XXXXX811]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50615": {
+      "content": "[XXXXX554]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50616": {
+      "content": "[XXXXX744]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50617": {
+      "content": "[XXXXX786]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50618": {
+      "content": "[XXXXX913]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50619": {
+      "content": "[XXXXX966]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50620": {
+      "content": "[XXXXX972]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50621": {
+      "content": "[XXXXX664]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50622": {
+      "content": "[XXXXX1131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50623": {
+      "content": "[XXXXX1132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50624": {
+      "content": "[XXXXX376]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50625": {
+      "content": "[XXXXX672]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50626": {
+      "content": "[XXXXX1013]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50627": {
+      "content": "[XXXXX328]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50628": {
+      "content": "[XXXXX889]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50629": {
+      "content": "[XXXXX1141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50630": {
+      "content": "[XXXXX429]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50631": {
+      "content": "[XXXXX114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50632": {
+      "content": "[XXXXX523]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50633": {
+      "content": "[XXXXX833]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50634": {
+      "content": "[XXXXX927]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50635": {
+      "content": "[XXXXX297]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50636": {
+      "content": "[XXXXX812]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50637": {
+      "content": "[XXXXX1062]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50638": {
+      "content": "[XXXXX152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50639": {
+      "content": "[XXXXX1010]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50640": {
+      "content": "[XXXXX690]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50641": {
+      "content": "[XXXXX363]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50642": {
+      "content": "[XXXXX1103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50643": {
+      "content": "[XXXXX194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50644": {
+      "content": "[XXXXX844]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50645": {
+      "content": "[XXXXX667]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50646": {
+      "content": "[XXXXX720]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50647": {
+      "content": "[XXXXX770]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50648": {
+      "content": "[XXXXX515]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50649": {
+      "content": "[XXXXX196]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50650": {
+      "content": "[XXXXX283]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50651": {
+      "content": "[XXXXX95]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50652": {
+      "content": "[XXXXX528]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50653": {
+      "content": "[XXXXX749]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50654": {
+      "content": "[XXXXX934]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50655": {
+      "content": "[XXXXX1052]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50656": {
+      "content": "[XXXXX1188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50657": {
+      "content": "[XXXXX1001]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50658": {
+      "content": "[XXXXX785]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50659": {
+      "content": "[XXXXX393]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50660": {
+      "content": "[XXXXX502]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50661": {
+      "content": "[XXXXX404]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50662": {
+      "content": "[XXXXX129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50663": {
+      "content": "[XXXXX643]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50664": {
+      "content": "[XXXXX1086]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50665": {
+      "content": "[XXXXX1104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50666": {
+      "content": "[XXXXX326]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50667": {
+      "content": "[XXXXX330]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50668": {
+      "content": "[XXXXX620]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50669": {
+      "content": "[XXXXX193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50670": {
+      "content": "[XXXXX470]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50671": {
+      "content": "[XXXXX279]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50672": {
+      "content": "[XXXXX97]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50673": {
+      "content": "[XXXXX177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50674": {
+      "content": "[XXXXX510]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50675": {
+      "content": "[XXXXX225]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50676": {
+      "content": "[XXXXX572]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50677": {
+      "content": "[XXXXX777]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50678": {
+      "content": "[XXXXX1135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50679": {
+      "content": "[XXXXX1160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50680": {
+      "content": "[XXXXX558]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50681": {
+      "content": "[XXXXX416]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50682": {
+      "content": "[XXXXX246]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50683": {
+      "content": "[XXXXX799]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50684": {
+      "content": "[XXXXX153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50685": {
+      "content": "[XXXXX671]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50686": {
+      "content": "[XXXXX809]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50687": {
+      "content": "[XXXXX525]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50688": {
+      "content": "[XXXXX1004]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50689": {
+      "content": "[XXXXX1005]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50690": {
+      "content": "[XXXXX1194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50691": {
+      "content": "[XXXXX408]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50692": {
+      "content": "[XXXXX492]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50693": {
+      "content": "[XXXXX973]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50694": {
+      "content": "[XXXXX242]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50695": {
+      "content": "[XXXXX357]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50696": {
+      "content": "[XXXXX851]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50697": {
+      "content": "[XXXXX999]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50698": {
+      "content": "[XXXXX969]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50699": {
+      "content": "[XXXXX453]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50700": {
+      "content": "[XXXXX730]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50701": {
+      "content": "[XXXXX54]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50702": {
+      "content": "[XXXXX480]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50703": {
+      "content": "[XXXXX564]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50704": {
+      "content": "[XXXXX600]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50705": {
+      "content": "[XXXXX654]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50706": {
+      "content": "[XXXXX37]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50707": {
+      "content": "[XXXXX605]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50708": {
+      "content": "[XXXXX164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50709": {
+      "content": "[XXXXX395]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50710": {
+      "content": "[XXXXX401]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50711": {
+      "content": "[XXXXX446]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50712": {
+      "content": "[XXXXX658]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50713": {
+      "content": "[XXXXX60]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50714": {
+      "content": "[XXXXX107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50715": {
+      "content": "[XXXXX131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50716": {
+      "content": "[XXXXX387]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50717": {
+      "content": "[XXXXX67]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50718": {
+      "content": "[XXXXX743]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50719": {
+      "content": "[XXXXX657]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50720": {
+      "content": "[XXXXX418]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50721": {
+      "content": "[XXXXX787]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50722": {
+      "content": "[XXXXX838]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50723": {
+      "content": "[XXXXX298]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50724": {
+      "content": "[XXXXX1007]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50725": {
+      "content": "[XXXXX1027]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50726": {
+      "content": "[XXXXX1078]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50727": {
+      "content": "[XXXXX651]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50728": {
+      "content": "[XXXXX875]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50729": {
+      "content": "[XXXXX258]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50730": {
+      "content": "[XXXXX413]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50731": {
+      "content": "[XXXXX1092]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50732": {
+      "content": "[XXXXX124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50733": {
+      "content": "[XXXXX308]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50734": {
+      "content": "[XXXXX1085]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50735": {
+      "content": "[XXXXX1170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50736": {
+      "content": "[XXXXX38]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50737": {
+      "content": "[XXXXX438]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50738": {
+      "content": "[XXXXX475]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50739": {
+      "content": "[XXXXX900]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50740": {
+      "content": "[XXXXX263]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50741": {
+      "content": "[XXXXX166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50742": {
+      "content": "[XXXXX698]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50743": {
+      "content": "[XXXXX1127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50744": {
+      "content": "[XXXXX1181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50745": {
+      "content": "[XXXXX763]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50746": {
+      "content": "[XXXXX627]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50747": {
+      "content": "[XXXXX250]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50748": {
+      "content": "[XXXXX757]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50749": {
+      "content": "[XXXXX142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50750": {
+      "content": "[XXXXX794]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50751": {
+      "content": "[XXXXX128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50752": {
+      "content": "[XXXXX35]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50753": {
+      "content": "[XXXXX482]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50754": {
+      "content": "[XXXXX834]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50755": {
+      "content": "[XXXXX679]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50756": {
+      "content": "[XXXXX839]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50757": {
+      "content": "[XXXXX138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50758": {
+      "content": "[XXXXX1066]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50759": {
+      "content": "[XXXXX116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50760": {
+      "content": "[XXXXX317]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50761": {
+      "content": "[XXXXX490]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50762": {
+      "content": "[XXXXX443]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50763": {
+      "content": "[XXXXX879]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50764": {
+      "content": "[XXXXX1101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50765": {
+      "content": "[XXXXX711]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50766": {
+      "content": "[XXXXX123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50767": {
+      "content": "[XXXXX1152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50768": {
+      "content": "[XXXXX692]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50769": {
+      "content": "[XXXXX555]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50770": {
+      "content": "[XXXXX266]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50771": {
+      "content": "[XXXXX0]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50772": {
+      "content": "[XXXXX332]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50773": {
+      "content": "[XXXXX497]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50774": {
+      "content": "[XXXXX904]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50775": {
+      "content": "[XXXXX1019]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50776": {
+      "content": "[XXXXX709]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50777": {
+      "content": "[XXXXX351]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50778": {
+      "content": "[XXXXX764]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50779": {
+      "content": "[XXXXX625]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50780": {
+      "content": "[XXXXX798]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50781": {
+      "content": "[XXXXX205]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50782": {
+      "content": "[XXXXX922]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50783": {
+      "content": "[XXXXX1075]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50784": {
+      "content": "[XXXXX8]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50785": {
+      "content": "[XXXXX422]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50786": {
+      "content": "[XXXXX638]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50787": {
+      "content": "[XXXXX98]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50788": {
+      "content": "[XXXXX814]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50789": {
+      "content": "[XXXXX1057]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50790": {
+      "content": "[XXXXX1070]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50791": {
+      "content": "[XXXXX411]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50792": {
+      "content": "[XXXXX768]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50793": {
+      "content": "[XXXXX1165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50794": {
+      "content": "[XXXXX888]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50795": {
+      "content": "[XXXXX636]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50796": {
+      "content": "[XXXXX1047]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50797": {
+      "content": "[XXXXX960]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50798": {
+      "content": "[XXXXX910]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50799": {
+      "content": "[XXXXX42]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50800": {
+      "content": "[XXXXX238]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50801": {
+      "content": "[XXXXX383]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50802": {
+      "content": "[XXXXX1032]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50803": {
+      "content": "[XXXXX577]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50804": {
+      "content": "[XXXXX268]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50805": {
+      "content": "[XXXXX179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50806": {
+      "content": "[XXXXX1076]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50807": {
+      "content": "[XXXXX1167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50808": {
+      "content": "[XXXXX1172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50809": {
+      "content": "[XXXXX665]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50810": {
+      "content": "[XXXXX126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50811": {
+      "content": "[XXXXX347]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50812": {
+      "content": "[XXXXX544]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50813": {
+      "content": "[XXXXX1026]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50814": {
+      "content": "[XXXXX159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50815": {
+      "content": "[XXXXX503]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50816": {
+      "content": "[XXXXX583]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50817": {
+      "content": "[XXXXX668]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50818": {
+      "content": "[XXXXX1115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50819": {
+      "content": "[XXXXX112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50820": {
+      "content": "[XXXXX154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50821": {
+      "content": "[XXXXX761]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50822": {
+      "content": "[XXXXX540]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50823": {
+      "content": "[XXXXX755]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50824": {
+      "content": "[XXXXX255]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50825": {
+      "content": "[XXXXX459]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50826": {
+      "content": "[XXXXX1090]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50827": {
+      "content": "[XXXXX689]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50828": {
+      "content": "[XXXXX589]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50829": {
+      "content": "[XXXXX122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50830": {
+      "content": "[XXXXX789]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50831": {
+      "content": "[XXXXX481]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50832": {
+      "content": "[XXXXX1044]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50833": {
+      "content": "[XXXXX274]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50834": {
+      "content": "[XXXXX957]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50835": {
+      "content": "[XXXXX1121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50836": {
+      "content": "[XXXXX464]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50837": {
+      "content": "[XXXXX495]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50838": {
+      "content": "[XXXXX1097]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50839": {
+      "content": "[XXXXX581]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50840": {
+      "content": "[XXXXX200]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50841": {
+      "content": "[XXXXX954]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50842": {
+      "content": "[XXXXX48]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50843": {
+      "content": "[XXXXX855]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50844": {
+      "content": "[XXXXX419]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50845": {
+      "content": "[XXXXX919]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50846": {
+      "content": "[XXXXX451]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50847": {
+      "content": "[XXXXX869]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50848": {
+      "content": "[XXXXX1082]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50849": {
+      "content": "[XXXXX1185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50850": {
+      "content": "[XXXXX859]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50851": {
+      "content": "[XXXXX1139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50852": {
+      "content": "[XXXXX1072]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50853": {
+      "content": "[XXXXX220]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50854": {
+      "content": "[XXXXX465]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50855": {
+      "content": "[XXXXX1105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50856": {
+      "content": "[XXXXX1093]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50857": {
+      "content": "[XXXXX953]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50858": {
+      "content": "[XXXXX1187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50859": {
+      "content": "[XXXXX311]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50860": {
+      "content": "[XXXXX403]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50861": {
+      "content": "[XXXXX684]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50862": {
+      "content": "[XXXXX426]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50863": {
+      "content": "[XXXXX68]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50864": {
+      "content": "[XXXXX277]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50865": {
+      "content": "[XXXXX437]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50866": {
+      "content": "[XXXXX896]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50867": {
+      "content": "[XXXXX899]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50868": {
+      "content": "[XXXXX878]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50869": {
+      "content": "[XXXXX1073]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50870": {
+      "content": "[XXXXX774]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50871": {
+      "content": "[XXXXX315]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50872": {
+      "content": "[XXXXX631]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50873": {
+      "content": "[XXXXX223]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50874": {
+      "content": "[XXXXX86]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50875": {
+      "content": "[XXXXX607]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50876": {
+      "content": "[XXXXX149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50877": {
+      "content": "[XXXXX566]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50878": {
+      "content": "[XXXXX740]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50879": {
+      "content": "[XXXXX265]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50880": {
+      "content": "[XXXXX399]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50881": {
+      "content": "[XXXXX1053]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50882": {
+      "content": "[XXXXX1077]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50883": {
+      "content": "[XXXXX336]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50884": {
+      "content": "[XXXXX734]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50885": {
+      "content": "[XXXXX289]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50886": {
+      "content": "[XXXXX221]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50887": {
+      "content": "[XXXXX580]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50888": {
+      "content": "[XXXXX406]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50889": {
+      "content": "[XXXXX854]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50890": {
+      "content": "[XXXXX673]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50891": {
+      "content": "[XXXXX1146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50892": {
+      "content": "[XXXXX29]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50893": {
+      "content": "[XXXXX496]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50894": {
+      "content": "[XXXXX241]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50895": {
+      "content": "[XXXXX929]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50896": {
+      "content": "[XXXXX169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50897": {
+      "content": "[XXXXX1153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50898": {
+      "content": "[XXXXX440]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50899": {
+      "content": "[XXXXX385]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50900": {
+      "content": "[XXXXX499]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50901": {
+      "content": "[XXXXX718]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50902": {
+      "content": "[XXXXX848]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50903": {
+      "content": "[XXXXX877]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50904": {
+      "content": "[XXXXX641]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50905": {
+      "content": "[XXXXX1137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50906": {
+      "content": "[XXXXX269]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50907": {
+      "content": "[XXXXX521]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50908": {
+      "content": "[XXXXX234]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50909": {
+      "content": "[XXXXX987]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50910": {
+      "content": "[XXXXX741]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50911": {
+      "content": "[XXXXX349]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50912": {
+      "content": "[XXXXX93]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50913": {
+      "content": "[XXXXX247]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50914": {
+      "content": "[XXXXX961]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50915": {
+      "content": "[XXXXX1120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50916": {
+      "content": "[XXXXX369]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50917": {
+      "content": "[XXXXX479]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50918": {
+      "content": "[XXXXX892]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50919": {
+      "content": "[XXXXX553]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50920": {
+      "content": "[XXXXX906]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50921": {
+      "content": "[XXXXX571]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50922": {
+      "content": "[XXXXX1046]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50923": {
+      "content": "[XXXXX206]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50924": {
+      "content": "[XXXXX488]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50925": {
+      "content": "[XXXXX445]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50926": {
+      "content": "[XXXXX524]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50927": {
+      "content": "[XXXXX228]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50928": {
+      "content": "[XXXXX998]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50929": {
+      "content": "[XXXXX675]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50930": {
+      "content": "[XXXXX732]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50931": {
+      "content": "[XXXXX1028]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50932": {
+      "content": "[XXXXX494]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50933": {
+      "content": "[XXXXX965]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50934": {
+      "content": "[XXXXX1021]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50935": {
+      "content": "[XXXXX726]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50936": {
+      "content": "[XXXXX168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50937": {
+      "content": "[XXXXX606]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50938": {
+      "content": "[XXXXX974]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50939": {
+      "content": "[XXXXX504]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50940": {
+      "content": "[XXXXX556]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50941": {
+      "content": "[XXXXX1159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50942": {
+      "content": "[XXXXX417]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50943": {
+      "content": "[XXXXX1175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50944": {
+      "content": "[XXXXX1142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50945": {
+      "content": "[XXXXX753]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50946": {
+      "content": "[XXXXX824]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50947": {
+      "content": "[XXXXX251]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50948": {
+      "content": "[XXXXX345]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50949": {
+      "content": "[XXXXX610]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50950": {
+      "content": "[XXXXX276]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50951": {
+      "content": "[XXXXX783]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50952": {
+      "content": "[XXXXX74]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50953": {
+      "content": "[XXXXX1050]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50954": {
+      "content": "[XXXXX71]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50955": {
+      "content": "[XXXXX360]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50956": {
+      "content": "[XXXXX512]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50957": {
+      "content": "[XXXXX341]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50958": {
+      "content": "[XXXXX375]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50959": {
+      "content": "[XXXXX637]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50960": {
+      "content": "[XXXXX1116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50961": {
+      "content": "[XXXXX9]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50962": {
+      "content": "[XXXXX738]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50963": {
+      "content": "[XXXXX856]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50964": {
+      "content": "[XXXXX979]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50965": {
+      "content": "[XXXXX825]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50966": {
+      "content": "[XXXXX852]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50967": {
+      "content": "[XXXXX215]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50968": {
+      "content": "[XXXXX91]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50969": {
+      "content": "[XXXXX257]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50970": {
+      "content": "[XXXXX325]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50971": {
+      "content": "[XXXXX368]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50972": {
+      "content": "[XXXXX1124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50973": {
+      "content": "[XXXXX188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50974": {
+      "content": "[XXXXX905]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50975": {
+      "content": "[XXXXX284]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50976": {
+      "content": "[XXXXX11]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50977": {
+      "content": "[XXXXX83]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50978": {
+      "content": "[XXXXX611]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50979": {
+      "content": "[XXXXX51]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50980": {
+      "content": "[XXXXX99]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50981": {
+      "content": "[XXXXX288]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50982": {
+      "content": "[XXXXX945]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50983": {
+      "content": "[XXXXX975]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50984": {
+      "content": "[XXXXX282]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50985": {
+      "content": "[XXXXX1068]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50986": {
+      "content": "[XXXXX1180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50987": {
+      "content": "[XXXXX574]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50988": {
+      "content": "[XXXXX305]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50989": {
+      "content": "[XXXXX565]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50990": {
+      "content": "[XXXXX865]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50991": {
+      "content": "[XXXXX1014]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50992": {
+      "content": "[XXXXX1138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50993": {
+      "content": "[XXXXX134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50994": {
+      "content": "[XXXXX321]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50995": {
+      "content": "[XXXXX752]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50996": {
+      "content": "[XXXXX108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50997": {
+      "content": "[XXXXX339]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50998": {
+      "content": "[XXXXX893]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50999": {
+      "content": "[XXXXX1177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51000": {
+      "content": "[XXXXX988]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51001": {
+      "content": "[XXXXX719]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51002": {
+      "content": "[XXXXX1059]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51003": {
+      "content": "[XXXXX421]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51004": {
+      "content": "[XXXXX670]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51005": {
+      "content": "[XXXXX949]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51006": {
+      "content": "[XXXXX14]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51007": {
+      "content": "[XXXXX1087]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51008": {
+      "content": "[XXXXX382]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51009": {
+      "content": "[XXXXX531]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51010": {
+      "content": "[XXXXX1079]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51011": {
+      "content": "[XXXXX1067]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51012": {
+      "content": "[XXXXX655]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51013": {
+      "content": "[XXXXX340]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51014": {
+      "content": "[XXXXX398]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51015": {
+      "content": "[XXXXX175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51016": {
+      "content": "[XXXXX232]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51017": {
+      "content": "[XXXXX244]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51018": {
+      "content": "[XXXXX568]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51019": {
+      "content": "[XXXXX1110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51020": {
+      "content": "[XXXXX191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51021": {
+      "content": "[XXXXX931]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51022": {
+      "content": "[XXXXX832]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51023": {
+      "content": "[XXXXX1030]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51024": {
+      "content": "[XXXXX144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51025": {
+      "content": "[XXXXX1102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51026": {
+      "content": "[XXXXX300]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51027": {
+      "content": "[XXXXX996]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51028": {
+      "content": "[XXXXX248]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51029": {
+      "content": "[XXXXX66]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51030": {
+      "content": "[XXXXX735]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51031": {
+      "content": "[XXXXX20]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51032": {
+      "content": "[XXXXX694]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51033": {
+      "content": "[XXXXX845]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51034": {
+      "content": "[XXXXX500]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51035": {
+      "content": "[XXXXX613]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51036": {
+      "content": "[XXXXX117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51037": {
+      "content": "[XXXXX886]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51038": {
+      "content": "[XXXXX261]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51039": {
+      "content": "[XXXXX567]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51040": {
+      "content": "[XXXXX541]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51041": {
+      "content": "[XXXXX529]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51042": {
+      "content": "[XXXXX699]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51043": {
+      "content": "[XXXXX715]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51044": {
+      "content": "[XXXXX1003]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51045": {
+      "content": "[XXXXX518]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51046": {
+      "content": "[XXXXX891]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51047": {
+      "content": "[XXXXX192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51048": {
+      "content": "[XXXXX53]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51049": {
+      "content": "[XXXXX428]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51050": {
+      "content": "[XXXXX183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51051": {
+      "content": "[XXXXX850]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51052": {
+      "content": "[XXXXX539]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51053": {
+      "content": "[XXXXX527]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51054": {
+      "content": "[XXXXX660]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51055": {
+      "content": "[XXXXX409]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51056": {
+      "content": "[XXXXX1122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51057": {
+      "content": "[XXXXX898]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51058": {
+      "content": "[XXXXX858]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51059": {
+      "content": "[XXXXX534]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51060": {
+      "content": "[XXXXX756]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51061": {
+      "content": "[XXXXX63]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51062": {
+      "content": "[XXXXX49]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51063": {
+      "content": "[XXXXX1106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51064": {
+      "content": "[XXXXX111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51065": {
+      "content": "[XXXXX955]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51066": {
+      "content": "[XXXXX309]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51067": {
+      "content": "[XXXXX538]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51068": {
+      "content": "[XXXXX823]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51069": {
+      "content": "[XXXXX867]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51070": {
+      "content": "[XXXXX587]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51071": {
+      "content": "[XXXXX243]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51072": {
+      "content": "[XXXXX677]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51073": {
+      "content": "[XXXXX1017]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51074": {
+      "content": "[XXXXX173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51075": {
+      "content": "[XXXXX682]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51076": {
+      "content": "[XXXXX1184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51077": {
+      "content": "[XXXXX1009]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51078": {
+      "content": "[XXXXX704]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51079": {
+      "content": "[XXXXX532]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51080": {
+      "content": "[XXXXX901]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51081": {
+      "content": "[XXXXX120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51082": {
+      "content": "[XXXXX388]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51083": {
+      "content": "[XXXXX405]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51084": {
+      "content": "[XXXXX788]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51085": {
+      "content": "[XXXXX728]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51086": {
+      "content": "[XXXXX425]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51087": {
+      "content": "[XXXXX883]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51088": {
+      "content": "[XXXXX837]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51089": {
+      "content": "[XXXXX350]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51090": {
+      "content": "[XXXXX716]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51091": {
+      "content": "[XXXXX579]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51092": {
+      "content": "[XXXXX909]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51093": {
+      "content": "[XXXXX884]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51094": {
+      "content": "[XXXXX1011]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51095": {
+      "content": "[XXXXX372]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51096": {
+      "content": "[XXXXX370]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51097": {
+      "content": "[XXXXX468]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51098": {
+      "content": "[XXXXX688]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51099": {
+      "content": "[XXXXX56]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51100": {
+      "content": "[XXXXX653]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51101": {
+      "content": "[XXXXX623]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51102": {
+      "content": "[XXXXX552]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51103": {
+      "content": "[XXXXX314]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51104": {
+      "content": "[XXXXX1018]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51105": {
+      "content": "[XXXXX1091]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51106": {
+      "content": "[XXXXX342]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51107": {
+      "content": "[XXXXX1065]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51108": {
+      "content": "[XXXXX1161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51109": {
+      "content": "[XXXXX959]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51110": {
+      "content": "[XXXXX1035]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51111": {
+      "content": "[XXXXX530]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51112": {
+      "content": "[XXXXX69]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51113": {
+      "content": "[XXXXX489]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51114": {
+      "content": "[XXXXX1]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51115": {
+      "content": "[XXXXX207]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51116": {
+      "content": "[XXXXX433]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51117": {
+      "content": "[XXXXX358]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51118": {
+      "content": "[XXXXX601]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51119": {
+      "content": "[XXXXX2]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51120": {
+      "content": "[XXXXX722]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51121": {
+      "content": "[XXXXX985]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51122": {
+      "content": "[XXXXX908]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51123": {
+      "content": "[XXXXX1024]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51124": {
+      "content": "[XXXXX1111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51125": {
+      "content": "[XXXXX1113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51126": {
+      "content": "[XXXXX678]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51127": {
+      "content": "[XXXXX19]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51128": {
+      "content": "[XXXXX1186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51129": {
+      "content": "[XXXXX808]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51130": {
+      "content": "[XXXXX493]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51131": {
+      "content": "[XXXXX1155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51132": {
+      "content": "[XXXXX217]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51133": {
+      "content": "[XXXXX616]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51134": {
+      "content": "[XXXXX835]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51135": {
+      "content": "[XXXXX994]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51136": {
+      "content": "[XXXXX484]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51137": {
+      "content": "[XXXXX362]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51138": {
+      "content": "[XXXXX582]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51139": {
+      "content": "[XXXXX1034]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51140": {
+      "content": "[XXXXX772]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51141": {
+      "content": "[XXXXX457]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51142": {
+      "content": "[XXXXX604]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51143": {
+      "content": "[XXXXX456]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51144": {
+      "content": "[XXXXX145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51145": {
+      "content": "[XXXXX476]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51146": {
+      "content": "[XXXXX218]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51147": {
+      "content": "[XXXXX199]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51148": {
+      "content": "[XXXXX364]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51149": {
+      "content": "[XXXXX302]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51150": {
+      "content": "[XXXXX881]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51151": {
+      "content": "[XXXXX1088]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51152": {
+      "content": "[XXXXX356]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51153": {
+      "content": "[XXXXX936]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51154": {
+      "content": "[XXXXX978]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51155": {
+      "content": "[XXXXX895]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51156": {
+      "content": "[XXXXX993]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51157": {
+      "content": "[XXXXX458]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51158": {
+      "content": "[XXXXX1002]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51159": {
+      "content": "[XXXXX1022]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51160": {
+      "content": "[XXXXX25]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51161": {
+      "content": "[XXXXX766]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51162": {
+      "content": "[XXXXX64]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51163": {
+      "content": "[XXXXX211]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51164": {
+      "content": "[XXXXX82]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51165": {
+      "content": "[XXXXX634]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51166": {
+      "content": "[XXXXX661]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51167": {
+      "content": "[XXXXX748]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51168": {
+      "content": "[XXXXX778]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51169": {
+      "content": "[XXXXX24]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51170": {
+      "content": "[XXXXX448]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51171": {
+      "content": "[XXXXX887]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51172": {
+      "content": "[XXXXX890]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51173": {
+      "content": "[XXXXX754]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51174": {
+      "content": "[XXXXX343]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51175": {
+      "content": "[XXXXX1069]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51176": {
+      "content": "[XXXXX294]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51177": {
+      "content": "[XXXXX295]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51178": {
+      "content": "[XXXXX197]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51179": {
+      "content": "[XXXXX210]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51180": {
+      "content": "[XXXXX630]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51181": {
+      "content": "[XXXXX707]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51182": {
+      "content": "[XXXXX864]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51183": {
+      "content": "[XXXXX391]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51184": {
+      "content": "[XXXXX338]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51185": {
+      "content": "[XXXXX800]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51186": {
+      "content": "[XXXXX841]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51187": {
+      "content": "[XXXXX967]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51188": {
+      "content": "[XXXXX793]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51189": {
+      "content": "[XXXXX916]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51190": {
+      "content": "[XXXXX603]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51191": {
+      "content": "[XXXXX270]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51192": {
+      "content": "[XXXXX105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51193": {
+      "content": "[XXXXX1016]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51194": {
+      "content": "[XXXXX804]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51195": {
+      "content": "[XXXXX264]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51196": {
+      "content": "[XXXXX155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51197": {
+      "content": "[XXXXX1190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51198": {
+      "content": "[XXXXX813]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51199": {
+      "content": "[XXXXX546]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "keep_accents": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}
diff --git a/checkpoint-9000/trainer_state.json b/checkpoint-9000/trainer_state.json
new file mode 100644
index 0000000..594da61
--- /dev/null
+++ b/checkpoint-9000/trainer_state.json
@@ -0,0 +1,18232 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 7.456503728251864,
+  "eval_steps": 500,
+  "global_step": 9000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "entropy": 7.218191003799438,
+      "epoch": 0.004142502071251036,
+      "grad_norm": 1.265625,
+      "learning_rate": 2e-06,
+      "loss": 6.8898,
+      "mean_token_accuracy": 0.08805170804262161,
+      "num_tokens": 9149.0,
+      "step": 5
+    },
+    {
+      "entropy": 7.191673707962036,
+      "epoch": 0.008285004142502071,
+      "grad_norm": 1.5078125,
+      "learning_rate": 4.5e-06,
+      "loss": 6.7268,
+      "mean_token_accuracy": 0.09304728880524635,
+      "num_tokens": 16800.0,
+      "step": 10
+    },
+    {
+      "entropy": 7.134524202346801,
+      "epoch": 0.012427506213753107,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7e-06,
+      "loss": 6.8905,
+      "mean_token_accuracy": 0.0921505056321621,
+      "num_tokens": 26617.0,
+      "step": 15
+    },
+    {
+      "entropy": 7.115550088882446,
+      "epoch": 0.016570008285004142,
+      "grad_norm": 1.25,
+      "learning_rate": 9.5e-06,
+      "loss": 6.8021,
+      "mean_token_accuracy": 0.09268744736909866,
+      "num_tokens": 35855.0,
+      "step": 20
+    },
+    {
+      "entropy": 7.12396879196167,
+      "epoch": 0.020712510356255178,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.2e-05,
+      "loss": 7.0094,
+      "mean_token_accuracy": 0.08752714470028877,
+      "num_tokens": 45644.0,
+      "step": 25
+    },
+    {
+      "entropy": 7.054446792602539,
+      "epoch": 0.024855012427506214,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.4500000000000002e-05,
+      "loss": 6.8922,
+      "mean_token_accuracy": 0.09398627206683159,
+      "num_tokens": 54641.0,
+      "step": 30
+    },
+    {
+      "entropy": 7.012255907058716,
+      "epoch": 0.02899751449875725,
+      "grad_norm": 1.0234375,
+      "learning_rate": 1.7000000000000003e-05,
+      "loss": 6.7519,
+      "mean_token_accuracy": 0.08958807587623596,
+      "num_tokens": 63924.0,
+      "step": 35
+    },
+    {
+      "entropy": 7.068031549453735,
+      "epoch": 0.033140016570008285,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.95e-05,
+      "loss": 6.89,
+      "mean_token_accuracy": 0.09437783882021904,
+      "num_tokens": 73452.0,
+      "step": 40
+    },
+    {
+      "entropy": 7.06072301864624,
+      "epoch": 0.037282518641259324,
+      "grad_norm": 1.0234375,
+      "learning_rate": 2.2e-05,
+      "loss": 6.9455,
+      "mean_token_accuracy": 0.0851291574537754,
+      "num_tokens": 82731.0,
+      "step": 45
+    },
+    {
+      "entropy": 7.090083169937134,
+      "epoch": 0.041425020712510356,
+      "grad_norm": 1.1015625,
+      "learning_rate": 2.4500000000000003e-05,
+      "loss": 6.7734,
+      "mean_token_accuracy": 0.09048294499516488,
+      "num_tokens": 92626.0,
+      "step": 50
+    },
+    {
+      "entropy": 7.149203157424926,
+      "epoch": 0.045567522783761395,
+      "grad_norm": 1.21875,
+      "learning_rate": 2.7e-05,
+      "loss": 6.9497,
+      "mean_token_accuracy": 0.08217904865741729,
+      "num_tokens": 101380.0,
+      "step": 55
+    },
+    {
+      "entropy": 7.119951963424683,
+      "epoch": 0.04971002485501243,
+      "grad_norm": 1.046875,
+      "learning_rate": 2.95e-05,
+      "loss": 6.8604,
+      "mean_token_accuracy": 0.09202293381094932,
+      "num_tokens": 109895.0,
+      "step": 60
+    },
+    {
+      "entropy": 7.2014998435974125,
+      "epoch": 0.053852526926263466,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.2e-05,
+      "loss": 6.8449,
+      "mean_token_accuracy": 0.09257669150829315,
+      "num_tokens": 119203.0,
+      "step": 65
+    },
+    {
+      "entropy": 7.1111664295196535,
+      "epoch": 0.0579950289975145,
+      "grad_norm": 1.1484375,
+      "learning_rate": 3.4500000000000005e-05,
+      "loss": 6.7903,
+      "mean_token_accuracy": 0.09657297283411026,
+      "num_tokens": 127572.0,
+      "step": 70
+    },
+    {
+      "entropy": 7.04930944442749,
+      "epoch": 0.06213753106876554,
+      "grad_norm": 1.03125,
+      "learning_rate": 3.7e-05,
+      "loss": 6.8304,
+      "mean_token_accuracy": 0.09063600301742554,
+      "num_tokens": 137161.0,
+      "step": 75
+    },
+    {
+      "entropy": 7.044711875915527,
+      "epoch": 0.06628003314001657,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.95e-05,
+      "loss": 6.9451,
+      "mean_token_accuracy": 0.08874713778495788,
+      "num_tokens": 145991.0,
+      "step": 80
+    },
+    {
+      "entropy": 7.130092525482178,
+      "epoch": 0.07042253521126761,
+      "grad_norm": 1.0546875,
+      "learning_rate": 4.2000000000000004e-05,
+      "loss": 6.8464,
+      "mean_token_accuracy": 0.08955071866512299,
+      "num_tokens": 154927.0,
+      "step": 85
+    },
+    {
+      "entropy": 7.090402746200562,
+      "epoch": 0.07456503728251865,
+      "grad_norm": 1.34375,
+      "learning_rate": 4.45e-05,
+      "loss": 6.7595,
+      "mean_token_accuracy": 0.09832768961787224,
+      "num_tokens": 163234.0,
+      "step": 90
+    },
+    {
+      "entropy": 7.08957576751709,
+      "epoch": 0.07870753935376967,
+      "grad_norm": 1.015625,
+      "learning_rate": 4.7000000000000004e-05,
+      "loss": 6.7163,
+      "mean_token_accuracy": 0.09379880875349045,
+      "num_tokens": 171554.0,
+      "step": 95
+    },
+    {
+      "entropy": 7.044517278671265,
+      "epoch": 0.08285004142502071,
+      "grad_norm": 1.1328125,
+      "learning_rate": 4.9500000000000004e-05,
+      "loss": 6.8173,
+      "mean_token_accuracy": 0.0955286517739296,
+      "num_tokens": 180171.0,
+      "step": 100
+    },
+    {
+      "entropy": 7.050950908660889,
+      "epoch": 0.08699254349627175,
+      "grad_norm": 1.0859375,
+      "learning_rate": 5.2e-05,
+      "loss": 6.761,
+      "mean_token_accuracy": 0.09741089940071106,
+      "num_tokens": 189216.0,
+      "step": 105
+    },
+    {
+      "entropy": 7.173562717437744,
+      "epoch": 0.09113504556752279,
+      "grad_norm": 1.015625,
+      "learning_rate": 5.45e-05,
+      "loss": 6.9519,
+      "mean_token_accuracy": 0.08675800338387489,
+      "num_tokens": 200022.0,
+      "step": 110
+    },
+    {
+      "entropy": 7.183744478225708,
+      "epoch": 0.09527754763877382,
+      "grad_norm": 1.2265625,
+      "learning_rate": 5.7e-05,
+      "loss": 6.8642,
+      "mean_token_accuracy": 0.09210581332445145,
+      "num_tokens": 208686.0,
+      "step": 115
+    },
+    {
+      "entropy": 7.121539115905762,
+      "epoch": 0.09942004971002485,
+      "grad_norm": 1.1875,
+      "learning_rate": 5.9499999999999996e-05,
+      "loss": 6.8829,
+      "mean_token_accuracy": 0.09462191313505172,
+      "num_tokens": 218266.0,
+      "step": 120
+    },
+    {
+      "entropy": 7.006736946105957,
+      "epoch": 0.1035625517812759,
+      "grad_norm": 1.046875,
+      "learning_rate": 6.2e-05,
+      "loss": 6.7523,
+      "mean_token_accuracy": 0.08771666437387467,
+      "num_tokens": 227658.0,
+      "step": 125
+    },
+    {
+      "entropy": 7.040027761459351,
+      "epoch": 0.10770505385252693,
+      "grad_norm": 1.1015625,
+      "learning_rate": 6.450000000000001e-05,
+      "loss": 6.7014,
+      "mean_token_accuracy": 0.1004502885043621,
+      "num_tokens": 236301.0,
+      "step": 130
+    },
+    {
+      "entropy": 7.106470441818237,
+      "epoch": 0.11184755592377796,
+      "grad_norm": 1.1171875,
+      "learning_rate": 6.7e-05,
+      "loss": 6.8424,
+      "mean_token_accuracy": 0.08812138065695763,
+      "num_tokens": 246355.0,
+      "step": 135
+    },
+    {
+      "entropy": 7.174679756164551,
+      "epoch": 0.115990057995029,
+      "grad_norm": 1.15625,
+      "learning_rate": 6.950000000000001e-05,
+      "loss": 6.8174,
+      "mean_token_accuracy": 0.0924198254942894,
+      "num_tokens": 256023.0,
+      "step": 140
+    },
+    {
+      "entropy": 7.10174069404602,
+      "epoch": 0.12013256006628004,
+      "grad_norm": 0.9921875,
+      "learning_rate": 7.2e-05,
+      "loss": 6.9036,
+      "mean_token_accuracy": 0.08638993799686431,
+      "num_tokens": 266893.0,
+      "step": 145
+    },
+    {
+      "entropy": 7.019921684265137,
+      "epoch": 0.12427506213753108,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7.45e-05,
+      "loss": 6.6606,
+      "mean_token_accuracy": 0.08872481286525727,
+      "num_tokens": 276075.0,
+      "step": 150
+    },
+    {
+      "entropy": 7.042754888534546,
+      "epoch": 0.12841756420878211,
+      "grad_norm": 1.25,
+      "learning_rate": 7.7e-05,
+      "loss": 6.7532,
+      "mean_token_accuracy": 0.09296932220458984,
+      "num_tokens": 285529.0,
+      "step": 155
+    },
+    {
+      "entropy": 7.064399909973145,
+      "epoch": 0.13256006628003314,
+      "grad_norm": 1.15625,
+      "learning_rate": 7.950000000000001e-05,
+      "loss": 6.762,
+      "mean_token_accuracy": 0.09406789913773536,
+      "num_tokens": 294403.0,
+      "step": 160
+    },
+    {
+      "entropy": 7.152362823486328,
+      "epoch": 0.13670256835128416,
+      "grad_norm": 1.28125,
+      "learning_rate": 8.2e-05,
+      "loss": 6.8553,
+      "mean_token_accuracy": 0.09358441680669785,
+      "num_tokens": 303507.0,
+      "step": 165
+    },
+    {
+      "entropy": 7.071487474441528,
+      "epoch": 0.14084507042253522,
+      "grad_norm": 1.21875,
+      "learning_rate": 8.450000000000001e-05,
+      "loss": 6.7534,
+      "mean_token_accuracy": 0.09645206108689308,
+      "num_tokens": 312393.0,
+      "step": 170
+    },
+    {
+      "entropy": 6.956210470199585,
+      "epoch": 0.14498757249378624,
+      "grad_norm": 1.0859375,
+      "learning_rate": 8.7e-05,
+      "loss": 6.7226,
+      "mean_token_accuracy": 0.09953253641724587,
+      "num_tokens": 321309.0,
+      "step": 175
+    },
+    {
+      "entropy": 7.2200812816619875,
+      "epoch": 0.1491300745650373,
+      "grad_norm": 1.1328125,
+      "learning_rate": 8.95e-05,
+      "loss": 6.7879,
+      "mean_token_accuracy": 0.09582221284508705,
+      "num_tokens": 330217.0,
+      "step": 180
+    },
+    {
+      "entropy": 6.964824962615967,
+      "epoch": 0.15327257663628832,
+      "grad_norm": 1.2109375,
+      "learning_rate": 9.2e-05,
+      "loss": 6.8296,
+      "mean_token_accuracy": 0.09584516286849976,
+      "num_tokens": 339587.0,
+      "step": 185
+    },
+    {
+      "entropy": 7.104565525054932,
+      "epoch": 0.15741507870753935,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.45e-05,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.09563353508710862,
+      "num_tokens": 349367.0,
+      "step": 190
+    },
+    {
+      "entropy": 6.90956711769104,
+      "epoch": 0.1615575807787904,
+      "grad_norm": 1.1953125,
+      "learning_rate": 9.7e-05,
+      "loss": 6.6535,
+      "mean_token_accuracy": 0.09533214569091797,
+      "num_tokens": 358272.0,
+      "step": 195
+    },
+    {
+      "entropy": 7.184430170059204,
+      "epoch": 0.16570008285004142,
+      "grad_norm": 1.1875,
+      "learning_rate": 9.95e-05,
+      "loss": 6.8847,
+      "mean_token_accuracy": 0.09342379868030548,
+      "num_tokens": 367709.0,
+      "step": 200
+    },
+    {
+      "entropy": 7.108258152008057,
+      "epoch": 0.16984258492129245,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000102,
+      "loss": 6.7363,
+      "mean_token_accuracy": 0.09321728497743606,
+      "num_tokens": 376180.0,
+      "step": 205
+    },
+    {
+      "entropy": 7.143853282928466,
+      "epoch": 0.1739850869925435,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00010449999999999999,
+      "loss": 6.8927,
+      "mean_token_accuracy": 0.08639989122748375,
+      "num_tokens": 385636.0,
+      "step": 210
+    },
+    {
+      "entropy": 7.005528688430786,
+      "epoch": 0.17812758906379453,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000107,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.10387283116579056,
+      "num_tokens": 394486.0,
+      "step": 215
+    },
+    {
+      "entropy": 7.066776275634766,
+      "epoch": 0.18227009113504558,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0001095,
+      "loss": 6.7286,
+      "mean_token_accuracy": 0.09739693626761436,
+      "num_tokens": 403765.0,
+      "step": 220
+    },
+    {
+      "entropy": 6.9391695022583,
+      "epoch": 0.1864125932062966,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000112,
+      "loss": 6.7198,
+      "mean_token_accuracy": 0.09883175939321517,
+      "num_tokens": 412988.0,
+      "step": 225
+    },
+    {
+      "entropy": 7.029045248031617,
+      "epoch": 0.19055509527754763,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0001145,
+      "loss": 6.6219,
+      "mean_token_accuracy": 0.09850638806819915,
+      "num_tokens": 422096.0,
+      "step": 230
+    },
+    {
+      "entropy": 7.055552911758423,
+      "epoch": 0.19469759734879868,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011700000000000001,
+      "loss": 6.7907,
+      "mean_token_accuracy": 0.08912368193268776,
+      "num_tokens": 431333.0,
+      "step": 235
+    },
+    {
+      "entropy": 7.076433277130127,
+      "epoch": 0.1988400994200497,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00011949999999999999,
+      "loss": 6.825,
+      "mean_token_accuracy": 0.0998022735118866,
+      "num_tokens": 440382.0,
+      "step": 240
+    },
+    {
+      "entropy": 7.098494958877564,
+      "epoch": 0.20298260149130073,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000122,
+      "loss": 6.7184,
+      "mean_token_accuracy": 0.1035430908203125,
+      "num_tokens": 448469.0,
+      "step": 245
+    },
+    {
+      "entropy": 7.065437746047974,
+      "epoch": 0.2071251035625518,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001245,
+      "loss": 6.7562,
+      "mean_token_accuracy": 0.0973759837448597,
+      "num_tokens": 457356.0,
+      "step": 250
+    },
+    {
+      "entropy": 7.103154182434082,
+      "epoch": 0.2112676056338028,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000127,
+      "loss": 6.7821,
+      "mean_token_accuracy": 0.09721289053559304,
+      "num_tokens": 465928.0,
+      "step": 255
+    },
+    {
+      "entropy": 6.99681601524353,
+      "epoch": 0.21541010770505387,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0001295,
+      "loss": 6.6931,
+      "mean_token_accuracy": 0.09931288808584213,
+      "num_tokens": 475269.0,
+      "step": 260
+    },
+    {
+      "entropy": 6.960800266265869,
+      "epoch": 0.2195526097763049,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000132,
+      "loss": 6.679,
+      "mean_token_accuracy": 0.09512786641716957,
+      "num_tokens": 485450.0,
+      "step": 265
+    },
+    {
+      "entropy": 7.0514568328857425,
+      "epoch": 0.22369511184755592,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00013450000000000002,
+      "loss": 6.7347,
+      "mean_token_accuracy": 0.10228226557374001,
+      "num_tokens": 494029.0,
+      "step": 270
+    },
+    {
+      "entropy": 6.9516912460327145,
+      "epoch": 0.22783761391880697,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013700000000000002,
+      "loss": 6.676,
+      "mean_token_accuracy": 0.10202871784567832,
+      "num_tokens": 503253.0,
+      "step": 275
+    },
+    {
+      "entropy": 7.018160057067871,
+      "epoch": 0.231980115990058,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0001395,
+      "loss": 6.6685,
+      "mean_token_accuracy": 0.09529435187578202,
+      "num_tokens": 512857.0,
+      "step": 280
+    },
+    {
+      "entropy": 6.9714985370635985,
+      "epoch": 0.23612261806130902,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00014199999999999998,
+      "loss": 6.7719,
+      "mean_token_accuracy": 0.09288227260112762,
+      "num_tokens": 522319.0,
+      "step": 285
+    },
+    {
+      "entropy": 7.113205528259277,
+      "epoch": 0.24026512013256007,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0001445,
+      "loss": 6.7224,
+      "mean_token_accuracy": 0.09471780881285667,
+      "num_tokens": 531469.0,
+      "step": 290
+    },
+    {
+      "entropy": 6.976934480667114,
+      "epoch": 0.2444076222038111,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000147,
+      "loss": 6.756,
+      "mean_token_accuracy": 0.09480062946677208,
+      "num_tokens": 540470.0,
+      "step": 295
+    },
+    {
+      "entropy": 7.011937475204467,
+      "epoch": 0.24855012427506215,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0001495,
+      "loss": 6.7584,
+      "mean_token_accuracy": 0.09700122326612473,
+      "num_tokens": 550317.0,
+      "step": 300
+    },
+    {
+      "entropy": 7.0365160465240475,
+      "epoch": 0.2526926263463132,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000152,
+      "loss": 6.7067,
+      "mean_token_accuracy": 0.09434132501482964,
+      "num_tokens": 559409.0,
+      "step": 305
+    },
+    {
+      "entropy": 6.928857326507568,
+      "epoch": 0.25683512841756423,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00015450000000000001,
+      "loss": 6.768,
+      "mean_token_accuracy": 0.10764710158109665,
+      "num_tokens": 568726.0,
+      "step": 310
+    },
+    {
+      "entropy": 7.103991413116455,
+      "epoch": 0.2609776304888152,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000157,
+      "loss": 6.7179,
+      "mean_token_accuracy": 0.0976541943848133,
+      "num_tokens": 577926.0,
+      "step": 315
+    },
+    {
+      "entropy": 7.047203779220581,
+      "epoch": 0.2651201325600663,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001595,
+      "loss": 6.7448,
+      "mean_token_accuracy": 0.09809661954641342,
+      "num_tokens": 586695.0,
+      "step": 320
+    },
+    {
+      "entropy": 7.039609956741333,
+      "epoch": 0.26926263463131733,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000162,
+      "loss": 6.771,
+      "mean_token_accuracy": 0.0949723981320858,
+      "num_tokens": 596250.0,
+      "step": 325
+    },
+    {
+      "entropy": 7.063632202148438,
+      "epoch": 0.27340513670256833,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00016450000000000001,
+      "loss": 6.8221,
+      "mean_token_accuracy": 0.09051206335425377,
+      "num_tokens": 605761.0,
+      "step": 330
+    },
+    {
+      "entropy": 7.019326877593994,
+      "epoch": 0.2775476387738194,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00016700000000000002,
+      "loss": 6.7365,
+      "mean_token_accuracy": 0.09872144013643265,
+      "num_tokens": 614313.0,
+      "step": 335
+    },
+    {
+      "entropy": 7.037422132492066,
+      "epoch": 0.28169014084507044,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00016950000000000003,
+      "loss": 6.7692,
+      "mean_token_accuracy": 0.09455474764108658,
+      "num_tokens": 624470.0,
+      "step": 340
+    },
+    {
+      "entropy": 7.039082098007202,
+      "epoch": 0.28583264291632143,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00017199999999999998,
+      "loss": 6.6843,
+      "mean_token_accuracy": 0.09269843101501465,
+      "num_tokens": 633458.0,
+      "step": 345
+    },
+    {
+      "entropy": 6.942268037796021,
+      "epoch": 0.2899751449875725,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00017449999999999999,
+      "loss": 6.6939,
+      "mean_token_accuracy": 0.09877684414386749,
+      "num_tokens": 643251.0,
+      "step": 350
+    },
+    {
+      "entropy": 6.99584732055664,
+      "epoch": 0.29411764705882354,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000177,
+      "loss": 6.7635,
+      "mean_token_accuracy": 0.09713540598750114,
+      "num_tokens": 652005.0,
+      "step": 355
+    },
+    {
+      "entropy": 7.006586170196533,
+      "epoch": 0.2982601491300746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0001795,
+      "loss": 6.6575,
+      "mean_token_accuracy": 0.10120807588100433,
+      "num_tokens": 661003.0,
+      "step": 360
+    },
+    {
+      "entropy": 6.874996137619019,
+      "epoch": 0.3024026512013256,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000182,
+      "loss": 6.6294,
+      "mean_token_accuracy": 0.09844254851341247,
+      "num_tokens": 670221.0,
+      "step": 365
+    },
+    {
+      "entropy": 7.155635738372803,
+      "epoch": 0.30654515327257664,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001845,
+      "loss": 6.9236,
+      "mean_token_accuracy": 0.0882349319756031,
+      "num_tokens": 680756.0,
+      "step": 370
+    },
+    {
+      "entropy": 6.94540753364563,
+      "epoch": 0.3106876553438277,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000187,
+      "loss": 6.6157,
+      "mean_token_accuracy": 0.10289054960012436,
+      "num_tokens": 689641.0,
+      "step": 375
+    },
+    {
+      "entropy": 6.87992377281189,
+      "epoch": 0.3148301574150787,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001895,
+      "loss": 6.5696,
+      "mean_token_accuracy": 0.09839320331811904,
+      "num_tokens": 698209.0,
+      "step": 380
+    },
+    {
+      "entropy": 6.823869276046753,
+      "epoch": 0.31897265948632975,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000192,
+      "loss": 6.5736,
+      "mean_token_accuracy": 0.10355777889490128,
+      "num_tokens": 706712.0,
+      "step": 385
+    },
+    {
+      "entropy": 7.037634468078613,
+      "epoch": 0.3231151615575808,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0001945,
+      "loss": 6.8017,
+      "mean_token_accuracy": 0.09728012606501579,
+      "num_tokens": 716087.0,
+      "step": 390
+    },
+    {
+      "entropy": 6.911249494552612,
+      "epoch": 0.3272576636288318,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00019700000000000002,
+      "loss": 6.6465,
+      "mean_token_accuracy": 0.09347675815224647,
+      "num_tokens": 725913.0,
+      "step": 395
+    },
+    {
+      "entropy": 6.944440317153931,
+      "epoch": 0.33140016570008285,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019950000000000002,
+      "loss": 6.7201,
+      "mean_token_accuracy": 0.10362306237220764,
+      "num_tokens": 735020.0,
+      "step": 400
+    },
+    {
+      "entropy": 6.985636854171753,
+      "epoch": 0.3355426677713339,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000202,
+      "loss": 6.6216,
+      "mean_token_accuracy": 0.09469136893749237,
+      "num_tokens": 744299.0,
+      "step": 405
+    },
+    {
+      "entropy": 6.883630275726318,
+      "epoch": 0.3396851698425849,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00020449999999999998,
+      "loss": 6.6099,
+      "mean_token_accuracy": 0.09694516137242318,
+      "num_tokens": 753231.0,
+      "step": 410
+    },
+    {
+      "entropy": 6.825357389450073,
+      "epoch": 0.34382767191383595,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000207,
+      "loss": 6.6717,
+      "mean_token_accuracy": 0.10230854973196983,
+      "num_tokens": 763043.0,
+      "step": 415
+    },
+    {
+      "entropy": 7.016851997375488,
+      "epoch": 0.347970173985087,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0002095,
+      "loss": 6.6905,
+      "mean_token_accuracy": 0.09913048222661018,
+      "num_tokens": 771977.0,
+      "step": 420
+    },
+    {
+      "entropy": 6.820244407653808,
+      "epoch": 0.352112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000212,
+      "loss": 6.6243,
+      "mean_token_accuracy": 0.1011092983186245,
+      "num_tokens": 780285.0,
+      "step": 425
+    },
+    {
+      "entropy": 6.956075525283813,
+      "epoch": 0.35625517812758906,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002145,
+      "loss": 6.6593,
+      "mean_token_accuracy": 0.09649045094847679,
+      "num_tokens": 789980.0,
+      "step": 430
+    },
+    {
+      "entropy": 6.984846019744873,
+      "epoch": 0.3603976801988401,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021700000000000002,
+      "loss": 6.6275,
+      "mean_token_accuracy": 0.10474459528923034,
+      "num_tokens": 798700.0,
+      "step": 435
+    },
+    {
+      "entropy": 6.767291498184204,
+      "epoch": 0.36454018227009116,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002195,
+      "loss": 6.7208,
+      "mean_token_accuracy": 0.09600067660212516,
+      "num_tokens": 808758.0,
+      "step": 440
+    },
+    {
+      "entropy": 7.046369791030884,
+      "epoch": 0.36868268434134216,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000222,
+      "loss": 6.6666,
+      "mean_token_accuracy": 0.10458802133798599,
+      "num_tokens": 817692.0,
+      "step": 445
+    },
+    {
+      "entropy": 6.95425066947937,
+      "epoch": 0.3728251864125932,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002245,
+      "loss": 6.7146,
+      "mean_token_accuracy": 0.10474570766091347,
+      "num_tokens": 827052.0,
+      "step": 450
+    },
+    {
+      "entropy": 6.895345544815063,
+      "epoch": 0.37696768848384427,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00022700000000000002,
+      "loss": 6.7139,
+      "mean_token_accuracy": 0.1091882586479187,
+      "num_tokens": 836442.0,
+      "step": 455
+    },
+    {
+      "entropy": 6.922871923446655,
+      "epoch": 0.38111019055509526,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00022950000000000002,
+      "loss": 6.5775,
+      "mean_token_accuracy": 0.10118989571928978,
+      "num_tokens": 846441.0,
+      "step": 460
+    },
+    {
+      "entropy": 6.8815388679504395,
+      "epoch": 0.3852526926263463,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00023200000000000003,
+      "loss": 6.6215,
+      "mean_token_accuracy": 0.10475475937128068,
+      "num_tokens": 856108.0,
+      "step": 465
+    },
+    {
+      "entropy": 6.848587274551392,
+      "epoch": 0.38939519469759737,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00023449999999999998,
+      "loss": 6.5833,
+      "mean_token_accuracy": 0.10137399956583977,
+      "num_tokens": 865788.0,
+      "step": 470
+    },
+    {
+      "entropy": 6.886804008483887,
+      "epoch": 0.39353769676884837,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000237,
+      "loss": 6.6302,
+      "mean_token_accuracy": 0.09514767676591873,
+      "num_tokens": 874833.0,
+      "step": 475
+    },
+    {
+      "entropy": 6.751422643661499,
+      "epoch": 0.3976801988400994,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002395,
+      "loss": 6.5997,
+      "mean_token_accuracy": 0.10276172533631325,
+      "num_tokens": 883685.0,
+      "step": 480
+    },
+    {
+      "entropy": 6.881311464309692,
+      "epoch": 0.40182270091135047,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000242,
+      "loss": 6.6001,
+      "mean_token_accuracy": 0.09796027019619942,
+      "num_tokens": 893908.0,
+      "step": 485
+    },
+    {
+      "entropy": 6.934821891784668,
+      "epoch": 0.40596520298260147,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002445,
+      "loss": 6.7142,
+      "mean_token_accuracy": 0.09827135354280472,
+      "num_tokens": 903081.0,
+      "step": 490
+    },
+    {
+      "entropy": 6.7868632793426515,
+      "epoch": 0.4101077050538525,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000247,
+      "loss": 6.5522,
+      "mean_token_accuracy": 0.10336750745773315,
+      "num_tokens": 912515.0,
+      "step": 495
+    },
+    {
+      "entropy": 6.886235475540161,
+      "epoch": 0.4142502071251036,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002495,
+      "loss": 6.5797,
+      "mean_token_accuracy": 0.1070313923060894,
+      "num_tokens": 921056.0,
+      "step": 500
+    },
+    {
+      "epoch": 0.4142502071251036,
+      "eval_entropy": 6.836038604728194,
+      "eval_loss": 6.684774875640869,
+      "eval_mean_token_accuracy": 0.10272799217021034,
+      "eval_num_tokens": 921056.0,
+      "eval_runtime": 2.7891,
+      "eval_samples_per_second": 1343.421,
+      "eval_steps_per_second": 168.152,
+      "step": 500
+    },
+    {
+      "entropy": 6.7657403469085695,
+      "epoch": 0.4183927091963546,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000252,
+      "loss": 6.5317,
+      "mean_token_accuracy": 0.10417452603578567,
+      "num_tokens": 931112.0,
+      "step": 505
+    },
+    {
+      "entropy": 6.821895503997803,
+      "epoch": 0.4225352112676056,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0002545,
+      "loss": 6.6605,
+      "mean_token_accuracy": 0.0978618748486042,
+      "num_tokens": 941120.0,
+      "step": 510
+    },
+    {
+      "entropy": 6.886211729049682,
+      "epoch": 0.4266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000257,
+      "loss": 6.6044,
+      "mean_token_accuracy": 0.09737976416945457,
+      "num_tokens": 950041.0,
+      "step": 515
+    },
+    {
+      "entropy": 6.879851579666138,
+      "epoch": 0.43082021541010773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002595,
+      "loss": 6.5907,
+      "mean_token_accuracy": 0.10606569275259972,
+      "num_tokens": 958608.0,
+      "step": 520
+    },
+    {
+      "entropy": 6.886484861373901,
+      "epoch": 0.43496271748135873,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.000262,
+      "loss": 6.7158,
+      "mean_token_accuracy": 0.09990910813212395,
+      "num_tokens": 966901.0,
+      "step": 525
+    },
+    {
+      "entropy": 6.767313003540039,
+      "epoch": 0.4391052195526098,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026450000000000003,
+      "loss": 6.5504,
+      "mean_token_accuracy": 0.10768762230873108,
+      "num_tokens": 976198.0,
+      "step": 530
+    },
+    {
+      "entropy": 6.892781782150268,
+      "epoch": 0.44324772162386084,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026700000000000004,
+      "loss": 6.624,
+      "mean_token_accuracy": 0.09861580505967141,
+      "num_tokens": 985248.0,
+      "step": 535
+    },
+    {
+      "entropy": 6.772344255447388,
+      "epoch": 0.44739022369511183,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00026950000000000005,
+      "loss": 6.5014,
+      "mean_token_accuracy": 0.1071978710591793,
+      "num_tokens": 993289.0,
+      "step": 540
+    },
+    {
+      "entropy": 6.820696449279785,
+      "epoch": 0.4515327257663629,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027200000000000005,
+      "loss": 6.5909,
+      "mean_token_accuracy": 0.10533165782690049,
+      "num_tokens": 1001784.0,
+      "step": 545
+    },
+    {
+      "entropy": 6.935409688949585,
+      "epoch": 0.45567522783761394,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002745,
+      "loss": 6.5627,
+      "mean_token_accuracy": 0.10804210156202317,
+      "num_tokens": 1010445.0,
+      "step": 550
+    },
+    {
+      "entropy": 6.745790100097656,
+      "epoch": 0.45981772990886494,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000277,
+      "loss": 6.6184,
+      "mean_token_accuracy": 0.10709234476089477,
+      "num_tokens": 1019084.0,
+      "step": 555
+    },
+    {
+      "entropy": 6.7490733623504635,
+      "epoch": 0.463960231980116,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002795,
+      "loss": 6.5249,
+      "mean_token_accuracy": 0.10461713373661041,
+      "num_tokens": 1027263.0,
+      "step": 560
+    },
+    {
+      "entropy": 6.876884937286377,
+      "epoch": 0.46810273405136704,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00028199999999999997,
+      "loss": 6.6233,
+      "mean_token_accuracy": 0.09752989709377288,
+      "num_tokens": 1036275.0,
+      "step": 565
+    },
+    {
+      "entropy": 6.765736055374146,
+      "epoch": 0.47224523612261804,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002845,
+      "loss": 6.7015,
+      "mean_token_accuracy": 0.09858408868312836,
+      "num_tokens": 1045208.0,
+      "step": 570
+    },
+    {
+      "entropy": 6.9024957656860355,
+      "epoch": 0.4763877381938691,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000287,
+      "loss": 6.6287,
+      "mean_token_accuracy": 0.1026283286511898,
+      "num_tokens": 1054703.0,
+      "step": 575
+    },
+    {
+      "entropy": 6.647345924377442,
+      "epoch": 0.48053024026512015,
+      "grad_norm": 1.5,
+      "learning_rate": 0.0002895,
+      "loss": 6.4841,
+      "mean_token_accuracy": 0.10212503597140313,
+      "num_tokens": 1063652.0,
+      "step": 580
+    },
+    {
+      "entropy": 6.717900657653809,
+      "epoch": 0.48467274233637114,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000292,
+      "loss": 6.5873,
+      "mean_token_accuracy": 0.10145951434969902,
+      "num_tokens": 1072070.0,
+      "step": 585
+    },
+    {
+      "entropy": 6.997959756851197,
+      "epoch": 0.4888152444076222,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002945,
+      "loss": 6.6143,
+      "mean_token_accuracy": 0.10064447894692422,
+      "num_tokens": 1079992.0,
+      "step": 590
+    },
+    {
+      "entropy": 6.657160854339599,
+      "epoch": 0.49295774647887325,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000297,
+      "loss": 6.628,
+      "mean_token_accuracy": 0.10435748845338821,
+      "num_tokens": 1088862.0,
+      "step": 595
+    },
+    {
+      "entropy": 6.773271942138672,
+      "epoch": 0.4971002485501243,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002995,
+      "loss": 6.4317,
+      "mean_token_accuracy": 0.10795770138502121,
+      "num_tokens": 1097614.0,
+      "step": 600
+    },
+    {
+      "entropy": 6.7102379322052,
+      "epoch": 0.5012427506213754,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000302,
+      "loss": 6.6288,
+      "mean_token_accuracy": 0.10706980749964715,
+      "num_tokens": 1107347.0,
+      "step": 605
+    },
+    {
+      "entropy": 6.8672473430633545,
+      "epoch": 0.5053852526926264,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003045,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10073774978518486,
+      "num_tokens": 1116707.0,
+      "step": 610
+    },
+    {
+      "entropy": 6.764383840560913,
+      "epoch": 0.5095277547638773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000307,
+      "loss": 6.6549,
+      "mean_token_accuracy": 0.10234303548932075,
+      "num_tokens": 1126356.0,
+      "step": 615
+    },
+    {
+      "entropy": 6.787193298339844,
+      "epoch": 0.5136702568351285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003095,
+      "loss": 6.5847,
+      "mean_token_accuracy": 0.10079671740531922,
+      "num_tokens": 1136281.0,
+      "step": 620
+    },
+    {
+      "entropy": 6.713733196258545,
+      "epoch": 0.5178127589063795,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000312,
+      "loss": 6.5355,
+      "mean_token_accuracy": 0.10429632142186165,
+      "num_tokens": 1145466.0,
+      "step": 625
+    },
+    {
+      "entropy": 6.7503923892974855,
+      "epoch": 0.5219552609776305,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003145,
+      "loss": 6.5409,
+      "mean_token_accuracy": 0.10918259546160698,
+      "num_tokens": 1154225.0,
+      "step": 630
+    },
+    {
+      "entropy": 6.761834907531738,
+      "epoch": 0.5260977630488816,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000317,
+      "loss": 6.5885,
+      "mean_token_accuracy": 0.09673135951161385,
+      "num_tokens": 1163872.0,
+      "step": 635
+    },
+    {
+      "entropy": 6.69431324005127,
+      "epoch": 0.5302402651201326,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003195,
+      "loss": 6.5244,
+      "mean_token_accuracy": 0.10705070868134499,
+      "num_tokens": 1172695.0,
+      "step": 640
+    },
+    {
+      "entropy": 6.651590061187744,
+      "epoch": 0.5343827671913836,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000322,
+      "loss": 6.3962,
+      "mean_token_accuracy": 0.11006554961204529,
+      "num_tokens": 1181291.0,
+      "step": 645
+    },
+    {
+      "entropy": 6.782713270187378,
+      "epoch": 0.5385252692626347,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00032450000000000003,
+      "loss": 6.5715,
+      "mean_token_accuracy": 0.10394523739814758,
+      "num_tokens": 1189927.0,
+      "step": 650
+    },
+    {
+      "entropy": 6.705166435241699,
+      "epoch": 0.5426677713338857,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00032700000000000003,
+      "loss": 6.5043,
+      "mean_token_accuracy": 0.10940467119216919,
+      "num_tokens": 1197913.0,
+      "step": 655
+    },
+    {
+      "entropy": 6.670699262619019,
+      "epoch": 0.5468102734051367,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032950000000000004,
+      "loss": 6.4309,
+      "mean_token_accuracy": 0.11147961542010307,
+      "num_tokens": 1207032.0,
+      "step": 660
+    },
+    {
+      "entropy": 6.640204334259034,
+      "epoch": 0.5509527754763878,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00033200000000000005,
+      "loss": 6.5397,
+      "mean_token_accuracy": 0.10571447387337685,
+      "num_tokens": 1215710.0,
+      "step": 665
+    },
+    {
+      "entropy": 6.694819068908691,
+      "epoch": 0.5550952775476388,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033450000000000005,
+      "loss": 6.52,
+      "mean_token_accuracy": 0.10049431845545768,
+      "num_tokens": 1225619.0,
+      "step": 670
+    },
+    {
+      "entropy": 6.649594163894653,
+      "epoch": 0.5592377796188898,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000337,
+      "loss": 6.4407,
+      "mean_token_accuracy": 0.11157044768333435,
+      "num_tokens": 1235000.0,
+      "step": 675
+    },
+    {
+      "entropy": 6.612611961364746,
+      "epoch": 0.5633802816901409,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003395,
+      "loss": 6.4462,
+      "mean_token_accuracy": 0.108580531924963,
+      "num_tokens": 1243594.0,
+      "step": 680
+    },
+    {
+      "entropy": 6.843221950531006,
+      "epoch": 0.5675227837613919,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000342,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10460855960845947,
+      "num_tokens": 1252279.0,
+      "step": 685
+    },
+    {
+      "entropy": 6.760235929489136,
+      "epoch": 0.5716652858326429,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034449999999999997,
+      "loss": 6.559,
+      "mean_token_accuracy": 0.10665302500128745,
+      "num_tokens": 1261314.0,
+      "step": 690
+    },
+    {
+      "entropy": 6.55326566696167,
+      "epoch": 0.575807787903894,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000347,
+      "loss": 6.4337,
+      "mean_token_accuracy": 0.11188110187649727,
+      "num_tokens": 1270854.0,
+      "step": 695
+    },
+    {
+      "entropy": 6.618375587463379,
+      "epoch": 0.579950289975145,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003495,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.11392810270190239,
+      "num_tokens": 1279183.0,
+      "step": 700
+    },
+    {
+      "entropy": 6.626208257675171,
+      "epoch": 0.584092792046396,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000352,
+      "loss": 6.5015,
+      "mean_token_accuracy": 0.10761247500777245,
+      "num_tokens": 1288347.0,
+      "step": 705
+    },
+    {
+      "entropy": 6.6855669021606445,
+      "epoch": 0.5882352941176471,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003545,
+      "loss": 6.5036,
+      "mean_token_accuracy": 0.10823310390114785,
+      "num_tokens": 1297449.0,
+      "step": 710
+    },
+    {
+      "entropy": 6.710147094726563,
+      "epoch": 0.5923777961888981,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000357,
+      "loss": 6.4688,
+      "mean_token_accuracy": 0.10904998034238815,
+      "num_tokens": 1306232.0,
+      "step": 715
+    },
+    {
+      "entropy": 6.6553794860839846,
+      "epoch": 0.5965202982601492,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003595,
+      "loss": 6.4857,
+      "mean_token_accuracy": 0.11109372302889824,
+      "num_tokens": 1315073.0,
+      "step": 720
+    },
+    {
+      "entropy": 6.674065732955933,
+      "epoch": 0.6006628003314002,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000362,
+      "loss": 6.5301,
+      "mean_token_accuracy": 0.10648825243115426,
+      "num_tokens": 1324629.0,
+      "step": 725
+    },
+    {
+      "entropy": 6.700368881225586,
+      "epoch": 0.6048053024026512,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0003645,
+      "loss": 6.6444,
+      "mean_token_accuracy": 0.10443340390920638,
+      "num_tokens": 1334152.0,
+      "step": 730
+    },
+    {
+      "entropy": 6.779498624801636,
+      "epoch": 0.6089478044739023,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000367,
+      "loss": 6.5946,
+      "mean_token_accuracy": 0.10130336955189705,
+      "num_tokens": 1343063.0,
+      "step": 735
+    },
+    {
+      "entropy": 6.684298419952393,
+      "epoch": 0.6130903065451533,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0003695,
+      "loss": 6.5241,
+      "mean_token_accuracy": 0.10516620799899101,
+      "num_tokens": 1352632.0,
+      "step": 740
+    },
+    {
+      "entropy": 6.582866573333741,
+      "epoch": 0.6172328086164043,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000372,
+      "loss": 6.4712,
+      "mean_token_accuracy": 0.10765027329325676,
+      "num_tokens": 1361103.0,
+      "step": 745
+    },
+    {
+      "entropy": 6.643687963485718,
+      "epoch": 0.6213753106876554,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003745,
+      "loss": 6.4642,
+      "mean_token_accuracy": 0.10832677409052849,
+      "num_tokens": 1370658.0,
+      "step": 750
+    },
+    {
+      "entropy": 6.64506516456604,
+      "epoch": 0.6255178127589064,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000377,
+      "loss": 6.4878,
+      "mean_token_accuracy": 0.10808288529515267,
+      "num_tokens": 1379817.0,
+      "step": 755
+    },
+    {
+      "entropy": 6.640752458572388,
+      "epoch": 0.6296603148301574,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003795,
+      "loss": 6.4418,
+      "mean_token_accuracy": 0.10874675288796425,
+      "num_tokens": 1389329.0,
+      "step": 760
+    },
+    {
+      "entropy": 6.4627049446105955,
+      "epoch": 0.6338028169014085,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000382,
+      "loss": 6.4902,
+      "mean_token_accuracy": 0.10606684386730195,
+      "num_tokens": 1399279.0,
+      "step": 765
+    },
+    {
+      "entropy": 6.621781063079834,
+      "epoch": 0.6379453189726595,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003845,
+      "loss": 6.4146,
+      "mean_token_accuracy": 0.11267002299427986,
+      "num_tokens": 1408765.0,
+      "step": 770
+    },
+    {
+      "entropy": 6.736465692520142,
+      "epoch": 0.6420878210439105,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038700000000000003,
+      "loss": 6.5632,
+      "mean_token_accuracy": 0.10607504546642303,
+      "num_tokens": 1418615.0,
+      "step": 775
+    },
+    {
+      "entropy": 6.616378879547119,
+      "epoch": 0.6462303231151616,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038950000000000003,
+      "loss": 6.4664,
+      "mean_token_accuracy": 0.10207068845629692,
+      "num_tokens": 1427359.0,
+      "step": 780
+    },
+    {
+      "entropy": 6.70065336227417,
+      "epoch": 0.6503728251864126,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00039200000000000004,
+      "loss": 6.622,
+      "mean_token_accuracy": 0.1116428442299366,
+      "num_tokens": 1435516.0,
+      "step": 785
+    },
+    {
+      "entropy": 6.709064102172851,
+      "epoch": 0.6545153272576636,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00039450000000000005,
+      "loss": 6.5704,
+      "mean_token_accuracy": 0.10583743155002594,
+      "num_tokens": 1444438.0,
+      "step": 790
+    },
+    {
+      "entropy": 6.671351766586303,
+      "epoch": 0.6586578293289147,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00039700000000000005,
+      "loss": 6.4996,
+      "mean_token_accuracy": 0.11326526403427124,
+      "num_tokens": 1453740.0,
+      "step": 795
+    },
+    {
+      "entropy": 6.614573907852173,
+      "epoch": 0.6628003314001657,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003995,
+      "loss": 6.4874,
+      "mean_token_accuracy": 0.11111863479018211,
+      "num_tokens": 1462083.0,
+      "step": 800
+    },
+    {
+      "entropy": 6.484545516967773,
+      "epoch": 0.6669428334714167,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000402,
+      "loss": 6.4127,
+      "mean_token_accuracy": 0.1100592203438282,
+      "num_tokens": 1471459.0,
+      "step": 805
+    },
+    {
+      "entropy": 6.621589279174804,
+      "epoch": 0.6710853355426678,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004045,
+      "loss": 6.3972,
+      "mean_token_accuracy": 0.11681128293275833,
+      "num_tokens": 1480516.0,
+      "step": 810
+    },
+    {
+      "entropy": 6.421737241744995,
+      "epoch": 0.6752278376139188,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00040699999999999997,
+      "loss": 6.3,
+      "mean_token_accuracy": 0.11318568140268326,
+      "num_tokens": 1489268.0,
+      "step": 815
+    },
+    {
+      "entropy": 6.700246906280517,
+      "epoch": 0.6793703396851698,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004095,
+      "loss": 6.5174,
+      "mean_token_accuracy": 0.11110908538103104,
+      "num_tokens": 1498819.0,
+      "step": 820
+    },
+    {
+      "entropy": 6.622490644454956,
+      "epoch": 0.6835128417564209,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000412,
+      "loss": 6.501,
+      "mean_token_accuracy": 0.11033953949809075,
+      "num_tokens": 1507852.0,
+      "step": 825
+    },
+    {
+      "entropy": 6.59730544090271,
+      "epoch": 0.6876553438276719,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004145,
+      "loss": 6.5302,
+      "mean_token_accuracy": 0.11122860461473465,
+      "num_tokens": 1517538.0,
+      "step": 830
+    },
+    {
+      "entropy": 6.458763217926025,
+      "epoch": 0.6917978458989229,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000417,
+      "loss": 6.4061,
+      "mean_token_accuracy": 0.11324542313814163,
+      "num_tokens": 1525389.0,
+      "step": 835
+    },
+    {
+      "entropy": 6.57511887550354,
+      "epoch": 0.695940347970174,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004195,
+      "loss": 6.3741,
+      "mean_token_accuracy": 0.11116622686386109,
+      "num_tokens": 1534117.0,
+      "step": 840
+    },
+    {
+      "entropy": 6.522304344177246,
+      "epoch": 0.700082850041425,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000422,
+      "loss": 6.4029,
+      "mean_token_accuracy": 0.11315450444817543,
+      "num_tokens": 1542610.0,
+      "step": 845
+    },
+    {
+      "entropy": 6.5175107479095455,
+      "epoch": 0.704225352112676,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004245,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.1143906556069851,
+      "num_tokens": 1551771.0,
+      "step": 850
+    },
+    {
+      "entropy": 6.620167636871338,
+      "epoch": 0.7083678541839271,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.000427,
+      "loss": 6.5779,
+      "mean_token_accuracy": 0.10512799099087715,
+      "num_tokens": 1560231.0,
+      "step": 855
+    },
+    {
+      "entropy": 6.589151382446289,
+      "epoch": 0.7125103562551781,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004295,
+      "loss": 6.5346,
+      "mean_token_accuracy": 0.10532297939062119,
+      "num_tokens": 1569578.0,
+      "step": 860
+    },
+    {
+      "entropy": 6.563750839233398,
+      "epoch": 0.7166528583264291,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000432,
+      "loss": 6.4187,
+      "mean_token_accuracy": 0.11381370946764946,
+      "num_tokens": 1579308.0,
+      "step": 865
+    },
+    {
+      "entropy": 6.597287034988403,
+      "epoch": 0.7207953603976802,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004345,
+      "loss": 6.6081,
+      "mean_token_accuracy": 0.10267190784215927,
+      "num_tokens": 1589506.0,
+      "step": 870
+    },
+    {
+      "entropy": 6.482245397567749,
+      "epoch": 0.7249378624689312,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000437,
+      "loss": 6.3671,
+      "mean_token_accuracy": 0.11368186473846435,
+      "num_tokens": 1598127.0,
+      "step": 875
+    },
+    {
+      "entropy": 6.548954200744629,
+      "epoch": 0.7290803645401823,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004395,
+      "loss": 6.4125,
+      "mean_token_accuracy": 0.11406067088246345,
+      "num_tokens": 1608073.0,
+      "step": 880
+    },
+    {
+      "entropy": 6.551317119598389,
+      "epoch": 0.7332228666114333,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000442,
+      "loss": 6.4304,
+      "mean_token_accuracy": 0.11178040653467178,
+      "num_tokens": 1616272.0,
+      "step": 885
+    },
+    {
+      "entropy": 6.496135663986206,
+      "epoch": 0.7373653686826843,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004445,
+      "loss": 6.447,
+      "mean_token_accuracy": 0.10845504105091094,
+      "num_tokens": 1625577.0,
+      "step": 890
+    },
+    {
+      "entropy": 6.685812950134277,
+      "epoch": 0.7415078707539354,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000447,
+      "loss": 6.533,
+      "mean_token_accuracy": 0.10158233270049095,
+      "num_tokens": 1634902.0,
+      "step": 895
+    },
+    {
+      "entropy": 6.520436191558838,
+      "epoch": 0.7456503728251864,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00044950000000000003,
+      "loss": 6.4674,
+      "mean_token_accuracy": 0.10865833014249801,
+      "num_tokens": 1644131.0,
+      "step": 900
+    },
+    {
+      "entropy": 6.461379718780518,
+      "epoch": 0.7497928748964374,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00045200000000000004,
+      "loss": 6.3694,
+      "mean_token_accuracy": 0.12158194407820702,
+      "num_tokens": 1652272.0,
+      "step": 905
+    },
+    {
+      "entropy": 6.533070278167725,
+      "epoch": 0.7539353769676885,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00045450000000000004,
+      "loss": 6.4632,
+      "mean_token_accuracy": 0.11447574123740197,
+      "num_tokens": 1660962.0,
+      "step": 910
+    },
+    {
+      "entropy": 6.475569725036621,
+      "epoch": 0.7580778790389395,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045700000000000005,
+      "loss": 6.4006,
+      "mean_token_accuracy": 0.11205699220299721,
+      "num_tokens": 1670570.0,
+      "step": 915
+    },
+    {
+      "entropy": 6.526782608032226,
+      "epoch": 0.7622203811101905,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00045950000000000006,
+      "loss": 6.4497,
+      "mean_token_accuracy": 0.1096197433769703,
+      "num_tokens": 1679674.0,
+      "step": 920
+    },
+    {
+      "entropy": 6.530770015716553,
+      "epoch": 0.7663628831814416,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000462,
+      "loss": 6.4324,
+      "mean_token_accuracy": 0.11466658413410187,
+      "num_tokens": 1688849.0,
+      "step": 925
+    },
+    {
+      "entropy": 6.4163538932800295,
+      "epoch": 0.7705053852526926,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004645,
+      "loss": 6.3128,
+      "mean_token_accuracy": 0.1098814107477665,
+      "num_tokens": 1698565.0,
+      "step": 930
+    },
+    {
+      "entropy": 6.5036052703857425,
+      "epoch": 0.7746478873239436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000467,
+      "loss": 6.3986,
+      "mean_token_accuracy": 0.11683695837855339,
+      "num_tokens": 1708009.0,
+      "step": 935
+    },
+    {
+      "entropy": 6.518198871612549,
+      "epoch": 0.7787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004695,
+      "loss": 6.3878,
+      "mean_token_accuracy": 0.1126109592616558,
+      "num_tokens": 1716497.0,
+      "step": 940
+    },
+    {
+      "entropy": 6.415347719192505,
+      "epoch": 0.7829328914664457,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000472,
+      "loss": 6.4082,
+      "mean_token_accuracy": 0.12070046439766884,
+      "num_tokens": 1725609.0,
+      "step": 945
+    },
+    {
+      "entropy": 6.477306175231933,
+      "epoch": 0.7870753935376967,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004745,
+      "loss": 6.3456,
+      "mean_token_accuracy": 0.11454906165599824,
+      "num_tokens": 1734165.0,
+      "step": 950
+    },
+    {
+      "entropy": 6.454520893096924,
+      "epoch": 0.7912178956089478,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000477,
+      "loss": 6.4546,
+      "mean_token_accuracy": 0.10918105840682983,
+      "num_tokens": 1744856.0,
+      "step": 955
+    },
+    {
+      "entropy": 6.4711943626403805,
+      "epoch": 0.7953603976801988,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004795,
+      "loss": 6.4509,
+      "mean_token_accuracy": 0.10578904524445534,
+      "num_tokens": 1753386.0,
+      "step": 960
+    },
+    {
+      "entropy": 6.4536961078643795,
+      "epoch": 0.7995028997514498,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000482,
+      "loss": 6.3053,
+      "mean_token_accuracy": 0.11872726455330848,
+      "num_tokens": 1762521.0,
+      "step": 965
+    },
+    {
+      "entropy": 6.34936490058899,
+      "epoch": 0.8036454018227009,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004845,
+      "loss": 6.3765,
+      "mean_token_accuracy": 0.11444728896021843,
+      "num_tokens": 1772403.0,
+      "step": 970
+    },
+    {
+      "entropy": 6.375087881088257,
+      "epoch": 0.8077879038939519,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000487,
+      "loss": 6.2884,
+      "mean_token_accuracy": 0.11179185584187508,
+      "num_tokens": 1780924.0,
+      "step": 975
+    },
+    {
+      "entropy": 6.547906732559204,
+      "epoch": 0.8119304059652029,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004895,
+      "loss": 6.4367,
+      "mean_token_accuracy": 0.11225800514221192,
+      "num_tokens": 1789992.0,
+      "step": 980
+    },
+    {
+      "entropy": 6.421040678024292,
+      "epoch": 0.816072908036454,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000492,
+      "loss": 6.3919,
+      "mean_token_accuracy": 0.11761699616909027,
+      "num_tokens": 1799513.0,
+      "step": 985
+    },
+    {
+      "entropy": 6.332476711273193,
+      "epoch": 0.820215410107705,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0004945,
+      "loss": 6.2287,
+      "mean_token_accuracy": 0.11279567033052444,
+      "num_tokens": 1807393.0,
+      "step": 990
+    },
+    {
+      "entropy": 6.438618326187134,
+      "epoch": 0.824357912178956,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000497,
+      "loss": 6.5079,
+      "mean_token_accuracy": 0.10579989776015282,
+      "num_tokens": 1817284.0,
+      "step": 995
+    },
+    {
+      "entropy": 6.449818515777588,
+      "epoch": 0.8285004142502072,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004995,
+      "loss": 6.2996,
+      "mean_token_accuracy": 0.11799877136945724,
+      "num_tokens": 1825591.0,
+      "step": 1000
+    },
+    {
+      "epoch": 0.8285004142502072,
+      "eval_entropy": 6.222835092402216,
+      "eval_loss": 6.475013256072998,
+      "eval_mean_token_accuracy": 0.11269166863866961,
+      "eval_num_tokens": 1825591.0,
+      "eval_runtime": 2.7611,
+      "eval_samples_per_second": 1357.068,
+      "eval_steps_per_second": 169.86,
+      "step": 1000
+    },
+    {
+      "entropy": 6.457831478118896,
+      "epoch": 0.8326429163214581,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0004999998547681232,
+      "loss": 6.3959,
+      "mean_token_accuracy": 0.11798396334052086,
+      "num_tokens": 1834655.0,
+      "step": 1005
+    },
+    {
+      "entropy": 6.26599349975586,
+      "epoch": 0.8367854183927091,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004999992647639447,
+      "loss": 6.2578,
+      "mean_token_accuracy": 0.11858200430870056,
+      "num_tokens": 1844187.0,
+      "step": 1010
+    },
+    {
+      "entropy": 6.415271520614624,
+      "epoch": 0.8409279204639603,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999982209116618,
+      "loss": 6.3345,
+      "mean_token_accuracy": 0.11406200677156449,
+      "num_tokens": 1852768.0,
+      "step": 1015
+    },
+    {
+      "entropy": 6.355557584762574,
+      "epoch": 0.8450704225352113,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004999967232133796,
+      "loss": 6.3913,
+      "mean_token_accuracy": 0.12348653748631477,
+      "num_tokens": 1862095.0,
+      "step": 1020
+    },
+    {
+      "entropy": 6.427043008804321,
+      "epoch": 0.8492129246064622,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004999947716721196,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.10961534604430198,
+      "num_tokens": 1871239.0,
+      "step": 1025
+    },
+    {
+      "entropy": 6.509608554840088,
+      "epoch": 0.8533554266777134,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004999923662918179,
+      "loss": 6.4323,
+      "mean_token_accuracy": 0.11334251016378402,
+      "num_tokens": 1880065.0,
+      "step": 1030
+    },
+    {
+      "entropy": 6.417975521087646,
+      "epoch": 0.8574979287489644,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999895070773266,
+      "loss": 6.4608,
+      "mean_token_accuracy": 0.10985229611396789,
+      "num_tokens": 1889065.0,
+      "step": 1035
+    },
+    {
+      "entropy": 6.429206514358521,
+      "epoch": 0.8616404308202155,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999861940344129,
+      "loss": 6.4721,
+      "mean_token_accuracy": 0.11190373301506043,
+      "num_tokens": 1898238.0,
+      "step": 1040
+    },
+    {
+      "entropy": 6.462369585037232,
+      "epoch": 0.8657829328914665,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004999824271697597,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.12136606723070145,
+      "num_tokens": 1906780.0,
+      "step": 1045
+    },
+    {
+      "entropy": 6.506088638305664,
+      "epoch": 0.8699254349627175,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000499978206490965,
+      "loss": 6.4745,
+      "mean_token_accuracy": 0.11197563111782075,
+      "num_tokens": 1916183.0,
+      "step": 1050
+    },
+    {
+      "entropy": 6.427097368240356,
+      "epoch": 0.8740679370339686,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999735320065427,
+      "loss": 6.3371,
+      "mean_token_accuracy": 0.11927392706274986,
+      "num_tokens": 1925382.0,
+      "step": 1055
+    },
+    {
+      "entropy": 6.292429256439209,
+      "epoch": 0.8782104391052196,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999684037259216,
+      "loss": 6.1827,
+      "mean_token_accuracy": 0.1270924136042595,
+      "num_tokens": 1933639.0,
+      "step": 1060
+    },
+    {
+      "entropy": 6.3600146770477295,
+      "epoch": 0.8823529411764706,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999628216594456,
+      "loss": 6.464,
+      "mean_token_accuracy": 0.11409285366535186,
+      "num_tokens": 1943044.0,
+      "step": 1065
+    },
+    {
+      "entropy": 6.460871028900146,
+      "epoch": 0.8864954432477217,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000499956785818375,
+      "loss": 6.303,
+      "mean_token_accuracy": 0.11871922463178634,
+      "num_tokens": 1951777.0,
+      "step": 1070
+    },
+    {
+      "entropy": 6.376981210708618,
+      "epoch": 0.8906379453189727,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004999502962148843,
+      "loss": 6.3666,
+      "mean_token_accuracy": 0.1170460693538189,
+      "num_tokens": 1961356.0,
+      "step": 1075
+    },
+    {
+      "entropy": 6.439280414581299,
+      "epoch": 0.8947804473902237,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000499943352862064,
+      "loss": 6.4248,
+      "mean_token_accuracy": 0.11459407210350037,
+      "num_tokens": 1970341.0,
+      "step": 1080
+    },
+    {
+      "entropy": 6.394289827346801,
+      "epoch": 0.8989229494614748,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004999359557739194,
+      "loss": 6.2796,
+      "mean_token_accuracy": 0.12198276743292809,
+      "num_tokens": 1978576.0,
+      "step": 1085
+    },
+    {
+      "entropy": 6.319045782089233,
+      "epoch": 0.9030654515327258,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004999281049653713,
+      "loss": 6.3227,
+      "mean_token_accuracy": 0.11601013913750649,
+      "num_tokens": 1987229.0,
+      "step": 1090
+    },
+    {
+      "entropy": 6.376017141342163,
+      "epoch": 0.9072079536039768,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999198004522557,
+      "loss": 6.261,
+      "mean_token_accuracy": 0.12269015237689018,
+      "num_tokens": 1996473.0,
+      "step": 1095
+    },
+    {
+      "entropy": 6.2405853271484375,
+      "epoch": 0.9113504556752279,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999110422513237,
+      "loss": 6.286,
+      "mean_token_accuracy": 0.12056776732206345,
+      "num_tokens": 2005551.0,
+      "step": 1100
+    },
+    {
+      "entropy": 6.398191165924072,
+      "epoch": 0.9154929577464789,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999018303802414,
+      "loss": 6.3869,
+      "mean_token_accuracy": 0.11947718560695648,
+      "num_tokens": 2015012.0,
+      "step": 1105
+    },
+    {
+      "entropy": 6.374700450897217,
+      "epoch": 0.9196354598177299,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004998921648575904,
+      "loss": 6.3999,
+      "mean_token_accuracy": 0.1203969657421112,
+      "num_tokens": 2024435.0,
+      "step": 1110
+    },
+    {
+      "entropy": 6.380674362182617,
+      "epoch": 0.923777961888981,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004998820457028669,
+      "loss": 6.3005,
+      "mean_token_accuracy": 0.12089794874191284,
+      "num_tokens": 2033991.0,
+      "step": 1115
+    },
+    {
+      "entropy": 6.409522771835327,
+      "epoch": 0.927920463960232,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998714729364824,
+      "loss": 6.3017,
+      "mean_token_accuracy": 0.1228084571659565,
+      "num_tokens": 2043117.0,
+      "step": 1120
+    },
+    {
+      "entropy": 6.326260423660278,
+      "epoch": 0.932062966031483,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004998604465797634,
+      "loss": 6.3305,
+      "mean_token_accuracy": 0.11992078274488449,
+      "num_tokens": 2052304.0,
+      "step": 1125
+    },
+    {
+      "entropy": 6.251798295974732,
+      "epoch": 0.9362054681027341,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998489666549512,
+      "loss": 6.2779,
+      "mean_token_accuracy": 0.12114684730768203,
+      "num_tokens": 2061217.0,
+      "step": 1130
+    },
+    {
+      "entropy": 6.319644594192505,
+      "epoch": 0.9403479701739851,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.0004998370331852021,
+      "loss": 6.2517,
+      "mean_token_accuracy": 0.11879112273454666,
+      "num_tokens": 2070796.0,
+      "step": 1135
+    },
+    {
+      "entropy": 6.465651321411133,
+      "epoch": 0.9444904722452361,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004998246461945872,
+      "loss": 6.4037,
+      "mean_token_accuracy": 0.12191760018467904,
+      "num_tokens": 2080202.0,
+      "step": 1140
+    },
+    {
+      "entropy": 6.320812797546386,
+      "epoch": 0.9486329743164872,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004998118057080923,
+      "loss": 6.3045,
+      "mean_token_accuracy": 0.11891168132424354,
+      "num_tokens": 2089788.0,
+      "step": 1145
+    },
+    {
+      "entropy": 6.301202344894409,
+      "epoch": 0.9527754763877382,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004997985117516183,
+      "loss": 6.3462,
+      "mean_token_accuracy": 0.11142431199550629,
+      "num_tokens": 2098727.0,
+      "step": 1150
+    },
+    {
+      "entropy": 6.344118309020996,
+      "epoch": 0.9569179784589892,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997847643519803,
+      "loss": 6.226,
+      "mean_token_accuracy": 0.11924557387828827,
+      "num_tokens": 2107645.0,
+      "step": 1155
+    },
+    {
+      "entropy": 6.1790977954864506,
+      "epoch": 0.9610604805302403,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997705635369085,
+      "loss": 6.1991,
+      "mean_token_accuracy": 0.11988648250699044,
+      "num_tokens": 2116613.0,
+      "step": 1160
+    },
+    {
+      "entropy": 6.284418439865112,
+      "epoch": 0.9652029826014913,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004997559093350474,
+      "loss": 6.1881,
+      "mean_token_accuracy": 0.12116428092122078,
+      "num_tokens": 2125585.0,
+      "step": 1165
+    },
+    {
+      "entropy": 6.396596622467041,
+      "epoch": 0.9693454846727423,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004997408017759562,
+      "loss": 6.3359,
+      "mean_token_accuracy": 0.11936862170696258,
+      "num_tokens": 2134795.0,
+      "step": 1170
+    },
+    {
+      "entropy": 6.273751878738404,
+      "epoch": 0.9734879867439934,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004997252408901084,
+      "loss": 6.3271,
+      "mean_token_accuracy": 0.11899949684739113,
+      "num_tokens": 2143699.0,
+      "step": 1175
+    },
+    {
+      "entropy": 6.386678028106689,
+      "epoch": 0.9776304888152444,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004997092267088922,
+      "loss": 6.2707,
+      "mean_token_accuracy": 0.11861606612801552,
+      "num_tokens": 2152187.0,
+      "step": 1180
+    },
+    {
+      "entropy": 6.275117111206055,
+      "epoch": 0.9817729908864954,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004996927592646097,
+      "loss": 6.3412,
+      "mean_token_accuracy": 0.11767763197422028,
+      "num_tokens": 2160941.0,
+      "step": 1185
+    },
+    {
+      "entropy": 6.339710283279419,
+      "epoch": 0.9859154929577465,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004996758385904776,
+      "loss": 6.3119,
+      "mean_token_accuracy": 0.11789651140570641,
+      "num_tokens": 2168946.0,
+      "step": 1190
+    },
+    {
+      "entropy": 6.181374216079712,
+      "epoch": 0.9900579950289975,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004996584647206269,
+      "loss": 6.2237,
+      "mean_token_accuracy": 0.12055367529392243,
+      "num_tokens": 2177662.0,
+      "step": 1195
+    },
+    {
+      "entropy": 6.316773986816406,
+      "epoch": 0.9942004971002486,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004996406376901026,
+      "loss": 6.3268,
+      "mean_token_accuracy": 0.12757316455245019,
+      "num_tokens": 2187461.0,
+      "step": 1200
+    },
+    {
+      "entropy": 6.283385133743286,
+      "epoch": 0.9983429991714996,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004996223575348635,
+      "loss": 6.2207,
+      "mean_token_accuracy": 0.12578138560056687,
+      "num_tokens": 2196878.0,
+      "step": 1205
+    },
+    {
+      "entropy": 6.311019659042358,
+      "epoch": 1.0024855012427507,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004996036242917828,
+      "loss": 6.2021,
+      "mean_token_accuracy": 0.1151522897183895,
+      "num_tokens": 2206178.0,
+      "step": 1210
+    },
+    {
+      "entropy": 6.25421667098999,
+      "epoch": 1.0066280033140016,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004995844379986476,
+      "loss": 6.0526,
+      "mean_token_accuracy": 0.12476176023483276,
+      "num_tokens": 2215330.0,
+      "step": 1215
+    },
+    {
+      "entropy": 6.309921216964722,
+      "epoch": 1.0107705053852527,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004995647986941587,
+      "loss": 6.0354,
+      "mean_token_accuracy": 0.13005029112100602,
+      "num_tokens": 2224146.0,
+      "step": 1220
+    },
+    {
+      "entropy": 6.241363286972046,
+      "epoch": 1.0149130074565038,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004995447064179308,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13421598002314566,
+      "num_tokens": 2233646.0,
+      "step": 1225
+    },
+    {
+      "entropy": 6.058859920501709,
+      "epoch": 1.0190555095277547,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.000499524161210492,
+      "loss": 5.9379,
+      "mean_token_accuracy": 0.12560308948159218,
+      "num_tokens": 2243663.0,
+      "step": 1230
+    },
+    {
+      "entropy": 6.270004224777222,
+      "epoch": 1.0231980115990058,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004995031631132844,
+      "loss": 6.1035,
+      "mean_token_accuracy": 0.13170127123594283,
+      "num_tokens": 2252564.0,
+      "step": 1235
+    },
+    {
+      "entropy": 6.2710247993469235,
+      "epoch": 1.027340513670257,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004994817121686633,
+      "loss": 6.099,
+      "mean_token_accuracy": 0.12465815395116805,
+      "num_tokens": 2262504.0,
+      "step": 1240
+    },
+    {
+      "entropy": 6.193396997451782,
+      "epoch": 1.0314830157415078,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004994598084198979,
+      "loss": 5.9843,
+      "mean_token_accuracy": 0.1374910719692707,
+      "num_tokens": 2270553.0,
+      "step": 1245
+    },
+    {
+      "entropy": 6.136552810668945,
+      "epoch": 1.035625517812759,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004994374519111701,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.1272726461291313,
+      "num_tokens": 2279319.0,
+      "step": 1250
+    },
+    {
+      "entropy": 6.217378282546997,
+      "epoch": 1.03976801988401,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004994146426875757,
+      "loss": 6.123,
+      "mean_token_accuracy": 0.126935476064682,
+      "num_tokens": 2288749.0,
+      "step": 1255
+    },
+    {
+      "entropy": 6.218695068359375,
+      "epoch": 1.043910521955261,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004993913807951232,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.12562426924705505,
+      "num_tokens": 2298272.0,
+      "step": 1260
+    },
+    {
+      "entropy": 6.221994352340698,
+      "epoch": 1.048053024026512,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004993676662807345,
+      "loss": 6.047,
+      "mean_token_accuracy": 0.12884460240602494,
+      "num_tokens": 2307230.0,
+      "step": 1265
+    },
+    {
+      "entropy": 6.183428144454956,
+      "epoch": 1.0521955260977631,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004993434991922443,
+      "loss": 6.1317,
+      "mean_token_accuracy": 0.12460145726799965,
+      "num_tokens": 2316306.0,
+      "step": 1270
+    },
+    {
+      "entropy": 6.22090425491333,
+      "epoch": 1.056338028169014,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004993188795784002,
+      "loss": 6.0531,
+      "mean_token_accuracy": 0.1241947129368782,
+      "num_tokens": 2325672.0,
+      "step": 1275
+    },
+    {
+      "entropy": 6.1453857421875,
+      "epoch": 1.0604805302402651,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004992938074888628,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.1274007849395275,
+      "num_tokens": 2335251.0,
+      "step": 1280
+    },
+    {
+      "entropy": 6.180039167404175,
+      "epoch": 1.0646230323115162,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004992682829742052,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.1308726042509079,
+      "num_tokens": 2344054.0,
+      "step": 1285
+    },
+    {
+      "entropy": 6.086296463012696,
+      "epoch": 1.0687655343827671,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004992423060859132,
+      "loss": 6.0236,
+      "mean_token_accuracy": 0.127706591039896,
+      "num_tokens": 2353493.0,
+      "step": 1290
+    },
+    {
+      "entropy": 6.223158740997315,
+      "epoch": 1.0729080364540182,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004992158768763849,
+      "loss": 6.1321,
+      "mean_token_accuracy": 0.12850543335080147,
+      "num_tokens": 2362687.0,
+      "step": 1295
+    },
+    {
+      "entropy": 6.2506636619567875,
+      "epoch": 1.0770505385252693,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004991889953989308,
+      "loss": 6.0965,
+      "mean_token_accuracy": 0.12563316524028778,
+      "num_tokens": 2372325.0,
+      "step": 1300
+    },
+    {
+      "entropy": 6.173602199554443,
+      "epoch": 1.0811930405965202,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004991616617077741,
+      "loss": 6.12,
+      "mean_token_accuracy": 0.1287991665303707,
+      "num_tokens": 2381987.0,
+      "step": 1305
+    },
+    {
+      "entropy": 6.307486963272095,
+      "epoch": 1.0853355426677713,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004991338758580496,
+      "loss": 6.0234,
+      "mean_token_accuracy": 0.13178783878684044,
+      "num_tokens": 2390901.0,
+      "step": 1310
+    },
+    {
+      "entropy": 6.034789133071899,
+      "epoch": 1.0894780447390224,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004991056379058045,
+      "loss": 6.0813,
+      "mean_token_accuracy": 0.12450421676039695,
+      "num_tokens": 2400756.0,
+      "step": 1315
+    },
+    {
+      "entropy": 6.188017988204956,
+      "epoch": 1.0936205468102733,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004990769479079976,
+      "loss": 5.9232,
+      "mean_token_accuracy": 0.12984196096658707,
+      "num_tokens": 2409526.0,
+      "step": 1320
+    },
+    {
+      "entropy": 6.086554956436157,
+      "epoch": 1.0977630488815244,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004990478059225003,
+      "loss": 6.0931,
+      "mean_token_accuracy": 0.12972966134548186,
+      "num_tokens": 2419583.0,
+      "step": 1325
+    },
+    {
+      "entropy": 6.2457873821258545,
+      "epoch": 1.1019055509527755,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004990182120080945,
+      "loss": 6.0338,
+      "mean_token_accuracy": 0.12990806251764297,
+      "num_tokens": 2429439.0,
+      "step": 1330
+    },
+    {
+      "entropy": 6.078778219223023,
+      "epoch": 1.1060480530240264,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004989881662244748,
+      "loss": 6.0416,
+      "mean_token_accuracy": 0.12380676046013832,
+      "num_tokens": 2438467.0,
+      "step": 1335
+    },
+    {
+      "entropy": 6.138932418823242,
+      "epoch": 1.1101905550952775,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004989576686322468,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.1332716926932335,
+      "num_tokens": 2446619.0,
+      "step": 1340
+    },
+    {
+      "entropy": 6.1281578540802,
+      "epoch": 1.1143330571665286,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004989267192929272,
+      "loss": 6.0379,
+      "mean_token_accuracy": 0.12955363765358924,
+      "num_tokens": 2454998.0,
+      "step": 1345
+    },
+    {
+      "entropy": 6.09554443359375,
+      "epoch": 1.1184755592377795,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004988953182689445,
+      "loss": 6.0072,
+      "mean_token_accuracy": 0.13532012328505516,
+      "num_tokens": 2463497.0,
+      "step": 1350
+    },
+    {
+      "entropy": 6.134703922271728,
+      "epoch": 1.1226180613090306,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004988634656236378,
+      "loss": 5.9216,
+      "mean_token_accuracy": 0.13609320148825646,
+      "num_tokens": 2471763.0,
+      "step": 1355
+    },
+    {
+      "entropy": 6.145527791976929,
+      "epoch": 1.1267605633802817,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004988311614212576,
+      "loss": 6.0016,
+      "mean_token_accuracy": 0.1402701161801815,
+      "num_tokens": 2479949.0,
+      "step": 1360
+    },
+    {
+      "entropy": 6.116470623016357,
+      "epoch": 1.1309030654515326,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004987984057269648,
+      "loss": 6.0539,
+      "mean_token_accuracy": 0.13444141745567323,
+      "num_tokens": 2489097.0,
+      "step": 1365
+    },
+    {
+      "entropy": 5.972180604934692,
+      "epoch": 1.1350455675227837,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004987651986068311,
+      "loss": 5.8781,
+      "mean_token_accuracy": 0.13601028621196748,
+      "num_tokens": 2497625.0,
+      "step": 1370
+    },
+    {
+      "entropy": 6.143597984313965,
+      "epoch": 1.1391880695940348,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004987315401278394,
+      "loss": 6.1252,
+      "mean_token_accuracy": 0.1272761717438698,
+      "num_tokens": 2507107.0,
+      "step": 1375
+    },
+    {
+      "entropy": 6.286170959472656,
+      "epoch": 1.143330571665286,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004986974303578819,
+      "loss": 6.1408,
+      "mean_token_accuracy": 0.12348597794771195,
+      "num_tokens": 2516629.0,
+      "step": 1380
+    },
+    {
+      "entropy": 6.077923250198364,
+      "epoch": 1.1474730737365368,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004986628693657621,
+      "loss": 6.021,
+      "mean_token_accuracy": 0.1280151717364788,
+      "num_tokens": 2525924.0,
+      "step": 1385
+    },
+    {
+      "entropy": 6.229060649871826,
+      "epoch": 1.151615575807788,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004986278572211933,
+      "loss": 6.1723,
+      "mean_token_accuracy": 0.1280426375567913,
+      "num_tokens": 2535586.0,
+      "step": 1390
+    },
+    {
+      "entropy": 6.189875984191895,
+      "epoch": 1.1557580778790388,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004985923939947987,
+      "loss": 6.2595,
+      "mean_token_accuracy": 0.1247698113322258,
+      "num_tokens": 2546685.0,
+      "step": 1395
+    },
+    {
+      "entropy": 6.148470640182495,
+      "epoch": 1.15990057995029,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004985564797581115,
+      "loss": 5.9681,
+      "mean_token_accuracy": 0.12971177995204924,
+      "num_tokens": 2556873.0,
+      "step": 1400
+    },
+    {
+      "entropy": 6.143459701538086,
+      "epoch": 1.164043082021541,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004985201145835747,
+      "loss": 5.9836,
+      "mean_token_accuracy": 0.13127154856920242,
+      "num_tokens": 2565222.0,
+      "step": 1405
+    },
+    {
+      "entropy": 6.031957960128784,
+      "epoch": 1.1681855840927922,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.000498483298544541,
+      "loss": 5.9875,
+      "mean_token_accuracy": 0.13211632743477822,
+      "num_tokens": 2575467.0,
+      "step": 1410
+    },
+    {
+      "entropy": 6.136318731307983,
+      "epoch": 1.172328086164043,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000498446031715272,
+      "loss": 6.0125,
+      "mean_token_accuracy": 0.13508019223809242,
+      "num_tokens": 2583963.0,
+      "step": 1415
+    },
+    {
+      "entropy": 6.133963680267334,
+      "epoch": 1.1764705882352942,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004984083141709391,
+      "loss": 6.042,
+      "mean_token_accuracy": 0.13524071872234344,
+      "num_tokens": 2593350.0,
+      "step": 1420
+    },
+    {
+      "entropy": 5.975436115264893,
+      "epoch": 1.180613090306545,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000498370145987623,
+      "loss": 5.9652,
+      "mean_token_accuracy": 0.13682079091668128,
+      "num_tokens": 2602191.0,
+      "step": 1425
+    },
+    {
+      "entropy": 6.170718050003051,
+      "epoch": 1.1847555923777962,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004983315272423127,
+      "loss": 6.0999,
+      "mean_token_accuracy": 0.1291058838367462,
+      "num_tokens": 2613590.0,
+      "step": 1430
+    },
+    {
+      "entropy": 6.049332237243652,
+      "epoch": 1.1888980944490473,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004982924580129066,
+      "loss": 5.8895,
+      "mean_token_accuracy": 0.1340464949607849,
+      "num_tokens": 2622072.0,
+      "step": 1435
+    },
+    {
+      "entropy": 6.093293142318726,
+      "epoch": 1.1930405965202984,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004982529383782116,
+      "loss": 6.1012,
+      "mean_token_accuracy": 0.13022035285830497,
+      "num_tokens": 2630904.0,
+      "step": 1440
+    },
+    {
+      "entropy": 6.189996242523193,
+      "epoch": 1.1971830985915493,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004982129684179432,
+      "loss": 6.0594,
+      "mean_token_accuracy": 0.13088259026408194,
+      "num_tokens": 2639925.0,
+      "step": 1445
+    },
+    {
+      "entropy": 6.1187131881713865,
+      "epoch": 1.2013256006628004,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004981725482127251,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.13439981341362,
+      "num_tokens": 2649397.0,
+      "step": 1450
+    },
+    {
+      "entropy": 6.16315655708313,
+      "epoch": 1.2054681027340513,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004981316778440892,
+      "loss": 6.081,
+      "mean_token_accuracy": 0.13515593931078912,
+      "num_tokens": 2658877.0,
+      "step": 1455
+    },
+    {
+      "entropy": 6.063838720321655,
+      "epoch": 1.2096106048053024,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004980903573944756,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13121431767940522,
+      "num_tokens": 2668518.0,
+      "step": 1460
+    },
+    {
+      "entropy": 6.059180212020874,
+      "epoch": 1.2137531068765535,
+      "grad_norm": 1.0078125,
+      "learning_rate": 0.0004980485869472322,
+      "loss": 6.1148,
+      "mean_token_accuracy": 0.12996160089969636,
+      "num_tokens": 2677459.0,
+      "step": 1465
+    },
+    {
+      "entropy": 6.223527908325195,
+      "epoch": 1.2178956089478046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004980063665866143,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12482839822769165,
+      "num_tokens": 2686668.0,
+      "step": 1470
+    },
+    {
+      "entropy": 5.935272264480591,
+      "epoch": 1.2220381110190555,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004979636963977853,
+      "loss": 5.8825,
+      "mean_token_accuracy": 0.1352998949587345,
+      "num_tokens": 2695545.0,
+      "step": 1475
+    },
+    {
+      "entropy": 6.066101598739624,
+      "epoch": 1.2261806130903066,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004979205764668156,
+      "loss": 6.0569,
+      "mean_token_accuracy": 0.13228241056203843,
+      "num_tokens": 2705514.0,
+      "step": 1480
+    },
+    {
+      "entropy": 6.138315343856812,
+      "epoch": 1.2303231151615575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004978770068806825,
+      "loss": 5.9599,
+      "mean_token_accuracy": 0.13136665150523186,
+      "num_tokens": 2714373.0,
+      "step": 1485
+    },
+    {
+      "entropy": 6.061770391464234,
+      "epoch": 1.2344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.000497832987727271,
+      "loss": 6.0715,
+      "mean_token_accuracy": 0.1264137916266918,
+      "num_tokens": 2723887.0,
+      "step": 1490
+    },
+    {
+      "entropy": 6.061756038665772,
+      "epoch": 1.2386081193040597,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004977885190953724,
+      "loss": 5.956,
+      "mean_token_accuracy": 0.13353569880127908,
+      "num_tokens": 2733591.0,
+      "step": 1495
+    },
+    {
+      "entropy": 6.104292392730713,
+      "epoch": 1.2427506213753108,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004977436010746846,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.13720986992120743,
+      "num_tokens": 2741638.0,
+      "step": 1500
+    },
+    {
+      "epoch": 1.2427506213753108,
+      "eval_entropy": 6.029743814773397,
+      "eval_loss": 6.2611613273620605,
+      "eval_mean_token_accuracy": 0.12890694399219332,
+      "eval_num_tokens": 2741638.0,
+      "eval_runtime": 2.9518,
+      "eval_samples_per_second": 1269.399,
+      "eval_steps_per_second": 158.887,
+      "step": 1500
+    },
+    {
+      "entropy": 6.078821802139283,
+      "epoch": 1.2468931234465617,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004976982337558124,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13084649220108985,
+      "num_tokens": 2749711.0,
+      "step": 1505
+    },
+    {
+      "entropy": 6.094208097457885,
+      "epoch": 1.2510356255178128,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004976524172302665,
+      "loss": 6.121,
+      "mean_token_accuracy": 0.13192041367292404,
+      "num_tokens": 2758121.0,
+      "step": 1510
+    },
+    {
+      "entropy": 6.159745693206787,
+      "epoch": 1.2551781275890637,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004976061515904641,
+      "loss": 6.1181,
+      "mean_token_accuracy": 0.12667254582047463,
+      "num_tokens": 2766764.0,
+      "step": 1515
+    },
+    {
+      "entropy": 6.116680526733399,
+      "epoch": 1.2593206296603148,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004975594369297277,
+      "loss": 6.0557,
+      "mean_token_accuracy": 0.1348518520593643,
+      "num_tokens": 2775561.0,
+      "step": 1520
+    },
+    {
+      "entropy": 6.08063235282898,
+      "epoch": 1.2634631317315659,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004975122733422861,
+      "loss": 6.0201,
+      "mean_token_accuracy": 0.13085112273693084,
+      "num_tokens": 2784691.0,
+      "step": 1525
+    },
+    {
+      "entropy": 6.129113435745239,
+      "epoch": 1.267605633802817,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004974646609232732,
+      "loss": 5.9816,
+      "mean_token_accuracy": 0.13641836866736412,
+      "num_tokens": 2793893.0,
+      "step": 1530
+    },
+    {
+      "entropy": 6.108260202407837,
+      "epoch": 1.2717481358740679,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004974165997687288,
+      "loss": 6.0751,
+      "mean_token_accuracy": 0.13353196606040002,
+      "num_tokens": 2804479.0,
+      "step": 1535
+    },
+    {
+      "entropy": 6.16022138595581,
+      "epoch": 1.275890637945319,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004973680899755972,
+      "loss": 6.107,
+      "mean_token_accuracy": 0.1326654002070427,
+      "num_tokens": 2813966.0,
+      "step": 1540
+    },
+    {
+      "entropy": 6.007886743545532,
+      "epoch": 1.2800331400165699,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000497319131641728,
+      "loss": 5.9326,
+      "mean_token_accuracy": 0.13846119418740271,
+      "num_tokens": 2822328.0,
+      "step": 1545
+    },
+    {
+      "entropy": 6.003260755538941,
+      "epoch": 1.284175642087821,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004972697248658755,
+      "loss": 5.8899,
+      "mean_token_accuracy": 0.14066707715392113,
+      "num_tokens": 2829845.0,
+      "step": 1550
+    },
+    {
+      "entropy": 5.948832178115845,
+      "epoch": 1.288318144159072,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004972198697476987,
+      "loss": 5.8783,
+      "mean_token_accuracy": 0.13914238885045052,
+      "num_tokens": 2839040.0,
+      "step": 1555
+    },
+    {
+      "entropy": 5.961882209777832,
+      "epoch": 1.2924606462303232,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004971695663877607,
+      "loss": 5.9665,
+      "mean_token_accuracy": 0.13561231270432472,
+      "num_tokens": 2848574.0,
+      "step": 1560
+    },
+    {
+      "entropy": 6.077086877822876,
+      "epoch": 1.296603148301574,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004971188148875289,
+      "loss": 5.9421,
+      "mean_token_accuracy": 0.14444561377167703,
+      "num_tokens": 2856812.0,
+      "step": 1565
+    },
+    {
+      "entropy": 6.051652336120606,
+      "epoch": 1.3007456503728252,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004970676153493748,
+      "loss": 6.0283,
+      "mean_token_accuracy": 0.13189572617411613,
+      "num_tokens": 2866001.0,
+      "step": 1570
+    },
+    {
+      "entropy": 6.1068840503692625,
+      "epoch": 1.3048881524440763,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004970159678765731,
+      "loss": 6.0164,
+      "mean_token_accuracy": 0.13239546120166779,
+      "num_tokens": 2875181.0,
+      "step": 1575
+    },
+    {
+      "entropy": 6.049808597564697,
+      "epoch": 1.3090306545153272,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004969638725733028,
+      "loss": 5.9587,
+      "mean_token_accuracy": 0.13397156223654746,
+      "num_tokens": 2885103.0,
+      "step": 1580
+    },
+    {
+      "entropy": 5.92131872177124,
+      "epoch": 1.3131731565865783,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004969113295446455,
+      "loss": 5.9116,
+      "mean_token_accuracy": 0.1383065924048424,
+      "num_tokens": 2894055.0,
+      "step": 1585
+    },
+    {
+      "entropy": 6.116864538192749,
+      "epoch": 1.3173156586578294,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004968583388965863,
+      "loss": 5.9846,
+      "mean_token_accuracy": 0.133075200766325,
+      "num_tokens": 2903391.0,
+      "step": 1590
+    },
+    {
+      "entropy": 6.006745624542236,
+      "epoch": 1.3214581607290803,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004968049007360132,
+      "loss": 5.9854,
+      "mean_token_accuracy": 0.13297903537750244,
+      "num_tokens": 2911760.0,
+      "step": 1595
+    },
+    {
+      "entropy": 5.926331329345703,
+      "epoch": 1.3256006628003314,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004967510151707169,
+      "loss": 5.9369,
+      "mean_token_accuracy": 0.13469143435359002,
+      "num_tokens": 2920589.0,
+      "step": 1600
+    },
+    {
+      "entropy": 6.15295524597168,
+      "epoch": 1.3297431648715825,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004966966823093903,
+      "loss": 6.0746,
+      "mean_token_accuracy": 0.1302391268312931,
+      "num_tokens": 2929635.0,
+      "step": 1605
+    },
+    {
+      "entropy": 5.986531114578247,
+      "epoch": 1.3338856669428334,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004966419022616287,
+      "loss": 5.9349,
+      "mean_token_accuracy": 0.13593596145510672,
+      "num_tokens": 2938778.0,
+      "step": 1610
+    },
+    {
+      "entropy": 6.039755535125733,
+      "epoch": 1.3380281690140845,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004965866751379296,
+      "loss": 6.0503,
+      "mean_token_accuracy": 0.13109695687890052,
+      "num_tokens": 2947836.0,
+      "step": 1615
+    },
+    {
+      "entropy": 6.133180904388428,
+      "epoch": 1.3421706710853356,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004965310010496922,
+      "loss": 6.0032,
+      "mean_token_accuracy": 0.1280514419078827,
+      "num_tokens": 2957028.0,
+      "step": 1620
+    },
+    {
+      "entropy": 6.026159048080444,
+      "epoch": 1.3463131731565865,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004964748801092168,
+      "loss": 5.9571,
+      "mean_token_accuracy": 0.1338861681520939,
+      "num_tokens": 2966088.0,
+      "step": 1625
+    },
+    {
+      "entropy": 6.078959226608276,
+      "epoch": 1.3504556752278376,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004964183124297059,
+      "loss": 6.0438,
+      "mean_token_accuracy": 0.13178688064217567,
+      "num_tokens": 2975271.0,
+      "step": 1630
+    },
+    {
+      "entropy": 5.992210865020752,
+      "epoch": 1.3545981772990887,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004963612981252625,
+      "loss": 6.0524,
+      "mean_token_accuracy": 0.1321226365864277,
+      "num_tokens": 2983799.0,
+      "step": 1635
+    },
+    {
+      "entropy": 6.056794929504394,
+      "epoch": 1.3587406793703396,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004963038373108908,
+      "loss": 6.0179,
+      "mean_token_accuracy": 0.13609340488910676,
+      "num_tokens": 2992675.0,
+      "step": 1640
+    },
+    {
+      "entropy": 6.155933427810669,
+      "epoch": 1.3628831814415907,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004962459301024954,
+      "loss": 6.0838,
+      "mean_token_accuracy": 0.13211635649204254,
+      "num_tokens": 3002483.0,
+      "step": 1645
+    },
+    {
+      "entropy": 6.027872896194458,
+      "epoch": 1.3670256835128418,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004961875766168816,
+      "loss": 5.985,
+      "mean_token_accuracy": 0.13883458971977233,
+      "num_tokens": 3010611.0,
+      "step": 1650
+    },
+    {
+      "entropy": 6.057289028167725,
+      "epoch": 1.371168185584093,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004961287769717547,
+      "loss": 5.9397,
+      "mean_token_accuracy": 0.13197456523776055,
+      "num_tokens": 3019928.0,
+      "step": 1655
+    },
+    {
+      "entropy": 5.9325989246368405,
+      "epoch": 1.3753106876553438,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004960695312857199,
+      "loss": 5.9279,
+      "mean_token_accuracy": 0.13408055454492568,
+      "num_tokens": 3029003.0,
+      "step": 1660
+    },
+    {
+      "entropy": 6.0389604568481445,
+      "epoch": 1.379453189726595,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004960098396782824,
+      "loss": 5.9464,
+      "mean_token_accuracy": 0.1375861033797264,
+      "num_tokens": 3038049.0,
+      "step": 1665
+    },
+    {
+      "entropy": 5.969662141799927,
+      "epoch": 1.3835956917978458,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004959497022698466,
+      "loss": 5.9515,
+      "mean_token_accuracy": 0.14408120438456534,
+      "num_tokens": 3046674.0,
+      "step": 1670
+    },
+    {
+      "entropy": 6.0561059474945065,
+      "epoch": 1.387738193869097,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004958891191817163,
+      "loss": 5.9927,
+      "mean_token_accuracy": 0.12801324650645257,
+      "num_tokens": 3056459.0,
+      "step": 1675
+    },
+    {
+      "entropy": 6.032327270507812,
+      "epoch": 1.391880695940348,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000495828090536094,
+      "loss": 5.9845,
+      "mean_token_accuracy": 0.13036760538816453,
+      "num_tokens": 3066294.0,
+      "step": 1680
+    },
+    {
+      "entropy": 6.0512574195861815,
+      "epoch": 1.3960231980115991,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004957666164560815,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13139644563198088,
+      "num_tokens": 3075420.0,
+      "step": 1685
+    },
+    {
+      "entropy": 6.063203239440918,
+      "epoch": 1.40016570008285,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004957046970656784,
+      "loss": 6.0385,
+      "mean_token_accuracy": 0.13581736162304878,
+      "num_tokens": 3084373.0,
+      "step": 1690
+    },
+    {
+      "entropy": 6.00097541809082,
+      "epoch": 1.4043082021541011,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004956423324897831,
+      "loss": 6.0257,
+      "mean_token_accuracy": 0.13937310948967935,
+      "num_tokens": 3094212.0,
+      "step": 1695
+    },
+    {
+      "entropy": 6.043115425109863,
+      "epoch": 1.408450704225352,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004955795228541917,
+      "loss": 5.9589,
+      "mean_token_accuracy": 0.14452596232295037,
+      "num_tokens": 3102769.0,
+      "step": 1700
+    },
+    {
+      "entropy": 6.040110731124878,
+      "epoch": 1.4125932062966031,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000495516268285598,
+      "loss": 5.9805,
+      "mean_token_accuracy": 0.13440805301070213,
+      "num_tokens": 3111465.0,
+      "step": 1705
+    },
+    {
+      "entropy": 5.978239822387695,
+      "epoch": 1.4167357083678542,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004954525689115935,
+      "loss": 5.9177,
+      "mean_token_accuracy": 0.13326097056269645,
+      "num_tokens": 3121106.0,
+      "step": 1710
+    },
+    {
+      "entropy": 6.007881164550781,
+      "epoch": 1.4208782104391053,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004953884248606669,
+      "loss": 5.945,
+      "mean_token_accuracy": 0.14831372052431108,
+      "num_tokens": 3130662.0,
+      "step": 1715
+    },
+    {
+      "entropy": 5.97642674446106,
+      "epoch": 1.4250207125103562,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004953238362622034,
+      "loss": 5.9812,
+      "mean_token_accuracy": 0.13328263983130456,
+      "num_tokens": 3139538.0,
+      "step": 1720
+    },
+    {
+      "entropy": 6.0256367206573485,
+      "epoch": 1.4291632145816073,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004952588032464855,
+      "loss": 6.0298,
+      "mean_token_accuracy": 0.12707214802503586,
+      "num_tokens": 3148552.0,
+      "step": 1725
+    },
+    {
+      "entropy": 5.996851205825806,
+      "epoch": 1.4333057166528582,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004951933259446919,
+      "loss": 5.9365,
+      "mean_token_accuracy": 0.14197203740477563,
+      "num_tokens": 3156549.0,
+      "step": 1730
+    },
+    {
+      "entropy": 6.114988136291504,
+      "epoch": 1.4374482187241093,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004951274044888975,
+      "loss": 6.1006,
+      "mean_token_accuracy": 0.12147112190723419,
+      "num_tokens": 3166821.0,
+      "step": 1735
+    },
+    {
+      "entropy": 5.960144329071045,
+      "epoch": 1.4415907207953604,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004950610390120731,
+      "loss": 5.9848,
+      "mean_token_accuracy": 0.135729306191206,
+      "num_tokens": 3174962.0,
+      "step": 1740
+    },
+    {
+      "entropy": 6.087535095214844,
+      "epoch": 1.4457332228666115,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000494994229648085,
+      "loss": 5.8903,
+      "mean_token_accuracy": 0.13537728488445283,
+      "num_tokens": 3184027.0,
+      "step": 1745
+    },
+    {
+      "entropy": 5.957475805282593,
+      "epoch": 1.4498757249378624,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004949269765316948,
+      "loss": 6.0321,
+      "mean_token_accuracy": 0.13071285635232927,
+      "num_tokens": 3193186.0,
+      "step": 1750
+    },
+    {
+      "entropy": 6.171153354644775,
+      "epoch": 1.4540182270091135,
+      "grad_norm": 2.140625,
+      "learning_rate": 0.0004948592797985599,
+      "loss": 6.0525,
+      "mean_token_accuracy": 0.13555259853601456,
+      "num_tokens": 3202676.0,
+      "step": 1755
+    },
+    {
+      "entropy": 6.123908805847168,
+      "epoch": 1.4581607290803644,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947911395852317,
+      "loss": 6.1524,
+      "mean_token_accuracy": 0.1352410912513733,
+      "num_tokens": 3211950.0,
+      "step": 1760
+    },
+    {
+      "entropy": 6.120599699020386,
+      "epoch": 1.4623032311516155,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947225560291565,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12961760386824608,
+      "num_tokens": 3221135.0,
+      "step": 1765
+    },
+    {
+      "entropy": 5.962483358383179,
+      "epoch": 1.4664457332228666,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004946535292686746,
+      "loss": 5.8975,
+      "mean_token_accuracy": 0.13825839310884475,
+      "num_tokens": 3230174.0,
+      "step": 1770
+    },
+    {
+      "entropy": 5.979943370819091,
+      "epoch": 1.4705882352941178,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004945840594430209,
+      "loss": 5.8871,
+      "mean_token_accuracy": 0.1381668671965599,
+      "num_tokens": 3238898.0,
+      "step": 1775
+    },
+    {
+      "entropy": 5.973515844345092,
+      "epoch": 1.4747307373653686,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004945141466923235,
+      "loss": 5.9292,
+      "mean_token_accuracy": 0.14479121565818787,
+      "num_tokens": 3247550.0,
+      "step": 1780
+    },
+    {
+      "entropy": 6.113377714157105,
+      "epoch": 1.4788732394366197,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004944437911576041,
+      "loss": 6.0779,
+      "mean_token_accuracy": 0.12900342419743538,
+      "num_tokens": 3256810.0,
+      "step": 1785
+    },
+    {
+      "entropy": 5.9020613670349125,
+      "epoch": 1.4830157415078706,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004943729929807772,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.139550269395113,
+      "num_tokens": 3265886.0,
+      "step": 1790
+    },
+    {
+      "entropy": 6.06021089553833,
+      "epoch": 1.4871582435791217,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004943017523046507,
+      "loss": 5.9273,
+      "mean_token_accuracy": 0.137468421459198,
+      "num_tokens": 3274522.0,
+      "step": 1795
+    },
+    {
+      "entropy": 6.027210426330567,
+      "epoch": 1.4913007456503728,
+      "grad_norm": 1.25,
+      "learning_rate": 0.000494230069272925,
+      "loss": 6.0486,
+      "mean_token_accuracy": 0.13558472618460654,
+      "num_tokens": 3283388.0,
+      "step": 1800
+    },
+    {
+      "entropy": 5.989331531524658,
+      "epoch": 1.495443247721624,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004941579440301923,
+      "loss": 5.9224,
+      "mean_token_accuracy": 0.1305856943130493,
+      "num_tokens": 3291887.0,
+      "step": 1805
+    },
+    {
+      "entropy": 5.96136965751648,
+      "epoch": 1.4995857497928748,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940853767219372,
+      "loss": 5.9685,
+      "mean_token_accuracy": 0.13564062863588333,
+      "num_tokens": 3300674.0,
+      "step": 1810
+    },
+    {
+      "entropy": 5.9364429950714115,
+      "epoch": 1.503728251864126,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940123674945359,
+      "loss": 5.8311,
+      "mean_token_accuracy": 0.13808463513851166,
+      "num_tokens": 3309745.0,
+      "step": 1815
+    },
+    {
+      "entropy": 6.076629638671875,
+      "epoch": 1.5078707539353768,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004939389164952561,
+      "loss": 5.9722,
+      "mean_token_accuracy": 0.1378110609948635,
+      "num_tokens": 3318888.0,
+      "step": 1820
+    },
+    {
+      "entropy": 5.8970863819122314,
+      "epoch": 1.512013256006628,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004938650238722564,
+      "loss": 5.9296,
+      "mean_token_accuracy": 0.13823849260807036,
+      "num_tokens": 3328274.0,
+      "step": 1825
+    },
+    {
+      "entropy": 6.003948831558228,
+      "epoch": 1.516155758077879,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004937906897745861,
+      "loss": 5.9387,
+      "mean_token_accuracy": 0.1468382939696312,
+      "num_tokens": 3337579.0,
+      "step": 1830
+    },
+    {
+      "entropy": 6.045965003967285,
+      "epoch": 1.5202982601491302,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004937159143521856,
+      "loss": 5.9081,
+      "mean_token_accuracy": 0.14555162489414214,
+      "num_tokens": 3346262.0,
+      "step": 1835
+    },
+    {
+      "entropy": 5.972390079498291,
+      "epoch": 1.5244407622203813,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004936406977558847,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.13030771315097808,
+      "num_tokens": 3354833.0,
+      "step": 1840
+    },
+    {
+      "entropy": 6.051387977600098,
+      "epoch": 1.5285832642916322,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004935650401374039,
+      "loss": 6.0906,
+      "mean_token_accuracy": 0.14119647368788718,
+      "num_tokens": 3364314.0,
+      "step": 1845
+    },
+    {
+      "entropy": 6.046140813827515,
+      "epoch": 1.532725766362883,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004934889416493524,
+      "loss": 5.9157,
+      "mean_token_accuracy": 0.13524662256240844,
+      "num_tokens": 3373648.0,
+      "step": 1850
+    },
+    {
+      "entropy": 5.863892507553101,
+      "epoch": 1.5368682684341342,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004934124024452295,
+      "loss": 5.7869,
+      "mean_token_accuracy": 0.1471114367246628,
+      "num_tokens": 3382919.0,
+      "step": 1855
+    },
+    {
+      "entropy": 5.888700532913208,
+      "epoch": 1.5410107705053853,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004933354226794232,
+      "loss": 5.9383,
+      "mean_token_accuracy": 0.1432707317173481,
+      "num_tokens": 3391814.0,
+      "step": 1860
+    },
+    {
+      "entropy": 6.080925798416137,
+      "epoch": 1.5451532725766364,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004932580025072098,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.13580586463212968,
+      "num_tokens": 3400392.0,
+      "step": 1865
+    },
+    {
+      "entropy": 5.996384525299073,
+      "epoch": 1.5492957746478875,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004931801420847545,
+      "loss": 6.036,
+      "mean_token_accuracy": 0.13089759424328803,
+      "num_tokens": 3410430.0,
+      "step": 1870
+    },
+    {
+      "entropy": 5.932257795333863,
+      "epoch": 1.5534382767191384,
+      "grad_norm": 0.9609375,
+      "learning_rate": 0.0004931018415691102,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.13694921880960464,
+      "num_tokens": 3420654.0,
+      "step": 1875
+    },
+    {
+      "entropy": 5.951343011856079,
+      "epoch": 1.5575807787903893,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004930231011182176,
+      "loss": 5.9986,
+      "mean_token_accuracy": 0.13937177062034606,
+      "num_tokens": 3430514.0,
+      "step": 1880
+    },
+    {
+      "entropy": 6.071512508392334,
+      "epoch": 1.5617232808616404,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004929439208909048,
+      "loss": 5.9331,
+      "mean_token_accuracy": 0.1375361390411854,
+      "num_tokens": 3439551.0,
+      "step": 1885
+    },
+    {
+      "entropy": 5.902947330474854,
+      "epoch": 1.5658657829328915,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004928643010468869,
+      "loss": 5.8911,
+      "mean_token_accuracy": 0.13622887432575226,
+      "num_tokens": 3448160.0,
+      "step": 1890
+    },
+    {
+      "entropy": 5.993059539794922,
+      "epoch": 1.5700082850041426,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004927842417467659,
+      "loss": 5.9517,
+      "mean_token_accuracy": 0.14548188596963882,
+      "num_tokens": 3457296.0,
+      "step": 1895
+    },
+    {
+      "entropy": 6.027637386322022,
+      "epoch": 1.5741507870753937,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004927037431520302,
+      "loss": 5.9073,
+      "mean_token_accuracy": 0.14102519080042838,
+      "num_tokens": 3466108.0,
+      "step": 1900
+    },
+    {
+      "entropy": 5.975209665298462,
+      "epoch": 1.5782932891466446,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004926228054250541,
+      "loss": 5.9941,
+      "mean_token_accuracy": 0.14009249955415726,
+      "num_tokens": 3475336.0,
+      "step": 1905
+    },
+    {
+      "entropy": 6.073916673660278,
+      "epoch": 1.5824357912178955,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004925414287290979,
+      "loss": 5.9668,
+      "mean_token_accuracy": 0.13723743334412575,
+      "num_tokens": 3483963.0,
+      "step": 1910
+    },
+    {
+      "entropy": 5.848618030548096,
+      "epoch": 1.5865782932891466,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004924596132283075,
+      "loss": 5.8765,
+      "mean_token_accuracy": 0.14485997408628465,
+      "num_tokens": 3492947.0,
+      "step": 1915
+    },
+    {
+      "entropy": 5.966853284835816,
+      "epoch": 1.5907207953603977,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004923773590877135,
+      "loss": 5.9651,
+      "mean_token_accuracy": 0.13334692791104316,
+      "num_tokens": 3501877.0,
+      "step": 1920
+    },
+    {
+      "entropy": 6.042904996871949,
+      "epoch": 1.5948632974316488,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004922946664732314,
+      "loss": 6.0304,
+      "mean_token_accuracy": 0.13204361274838447,
+      "num_tokens": 3510610.0,
+      "step": 1925
+    },
+    {
+      "entropy": 6.0583656311035154,
+      "epoch": 1.5990057995029,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004922115355516615,
+      "loss": 5.9841,
+      "mean_token_accuracy": 0.13304307833313941,
+      "num_tokens": 3519829.0,
+      "step": 1930
+    },
+    {
+      "entropy": 6.015839862823486,
+      "epoch": 1.6031483015741508,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004921279664906877,
+      "loss": 5.9661,
+      "mean_token_accuracy": 0.13071200698614122,
+      "num_tokens": 3529408.0,
+      "step": 1935
+    },
+    {
+      "entropy": 5.924501991271972,
+      "epoch": 1.6072908036454017,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004920439594588781,
+      "loss": 5.8955,
+      "mean_token_accuracy": 0.14675913602113724,
+      "num_tokens": 3538068.0,
+      "step": 1940
+    },
+    {
+      "entropy": 6.051935148239136,
+      "epoch": 1.6114333057166528,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000491959514625684,
+      "loss": 6.0177,
+      "mean_token_accuracy": 0.13845598921179772,
+      "num_tokens": 3547302.0,
+      "step": 1945
+    },
+    {
+      "entropy": 5.956210565567017,
+      "epoch": 1.6155758077879039,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00049187463216144,
+      "loss": 5.9024,
+      "mean_token_accuracy": 0.145584287494421,
+      "num_tokens": 3556087.0,
+      "step": 1950
+    },
+    {
+      "entropy": 6.046857452392578,
+      "epoch": 1.619718309859155,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.000491789312237363,
+      "loss": 5.9857,
+      "mean_token_accuracy": 0.13579782098531723,
+      "num_tokens": 3566235.0,
+      "step": 1955
+    },
+    {
+      "entropy": 5.983897924423218,
+      "epoch": 1.623860811930406,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004917035550255528,
+      "loss": 5.899,
+      "mean_token_accuracy": 0.14092317298054696,
+      "num_tokens": 3574762.0,
+      "step": 1960
+    },
+    {
+      "entropy": 5.904513597488403,
+      "epoch": 1.628003314001657,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000491617360698991,
+      "loss": 5.8837,
+      "mean_token_accuracy": 0.139695380628109,
+      "num_tokens": 3583359.0,
+      "step": 1965
+    },
+    {
+      "entropy": 5.920687866210938,
+      "epoch": 1.6321458160729079,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004915307294315412,
+      "loss": 5.8505,
+      "mean_token_accuracy": 0.14011457338929176,
+      "num_tokens": 3591436.0,
+      "step": 1970
+    },
+    {
+      "entropy": 5.926318550109864,
+      "epoch": 1.636288318144159,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.000491443661397948,
+      "loss": 5.9355,
+      "mean_token_accuracy": 0.13468224480748175,
+      "num_tokens": 3601054.0,
+      "step": 1975
+    },
+    {
+      "entropy": 5.974443817138672,
+      "epoch": 1.64043082021541,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004913561567738368,
+      "loss": 5.9014,
+      "mean_token_accuracy": 0.1383673779666424,
+      "num_tokens": 3610641.0,
+      "step": 1980
+    },
+    {
+      "entropy": 5.912512636184692,
+      "epoch": 1.6445733222866612,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004912682157357146,
+      "loss": 5.8447,
+      "mean_token_accuracy": 0.13975749984383584,
+      "num_tokens": 3619351.0,
+      "step": 1985
+    },
+    {
+      "entropy": 5.853101539611816,
+      "epoch": 1.6487158243579123,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004911798384609675,
+      "loss": 5.8306,
+      "mean_token_accuracy": 0.1472959376871586,
+      "num_tokens": 3627341.0,
+      "step": 1990
+    },
+    {
+      "entropy": 5.942045879364014,
+      "epoch": 1.6528583264291632,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004910910251278626,
+      "loss": 5.8918,
+      "mean_token_accuracy": 0.14801610112190247,
+      "num_tokens": 3637132.0,
+      "step": 1995
+    },
+    {
+      "entropy": 5.919465351104736,
+      "epoch": 1.6570008285004143,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004910017759155458,
+      "loss": 5.9479,
+      "mean_token_accuracy": 0.1400071859359741,
+      "num_tokens": 3646196.0,
+      "step": 2000
+    },
+    {
+      "epoch": 1.6570008285004143,
+      "eval_entropy": 5.874394122979789,
+      "eval_loss": 6.1148576736450195,
+      "eval_mean_token_accuracy": 0.1363023624046525,
+      "eval_num_tokens": 3646196.0,
+      "eval_runtime": 2.7574,
+      "eval_samples_per_second": 1358.871,
+      "eval_steps_per_second": 170.085,
+      "step": 2000
+    },
+    {
+      "entropy": 5.967284250259399,
+      "epoch": 1.6611433305716652,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004909120910040427,
+      "loss": 5.8839,
+      "mean_token_accuracy": 0.1461731344461441,
+      "num_tokens": 3654658.0,
+      "step": 2005
+    },
+    {
+      "entropy": 6.045904684066772,
+      "epoch": 1.6652858326429163,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004908219705742574,
+      "loss": 6.1605,
+      "mean_token_accuracy": 0.13489469960331918,
+      "num_tokens": 3664509.0,
+      "step": 2010
+    },
+    {
+      "entropy": 6.002130031585693,
+      "epoch": 1.6694283347141674,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004907314148079727,
+      "loss": 5.8567,
+      "mean_token_accuracy": 0.1425239197909832,
+      "num_tokens": 3672983.0,
+      "step": 2015
+    },
+    {
+      "entropy": 5.708412790298462,
+      "epoch": 1.6735708367854185,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004906404238878496,
+      "loss": 5.7221,
+      "mean_token_accuracy": 0.14639501571655272,
+      "num_tokens": 3681196.0,
+      "step": 2020
+    },
+    {
+      "entropy": 5.97982873916626,
+      "epoch": 1.6777133388566694,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004905489979974265,
+      "loss": 5.9098,
+      "mean_token_accuracy": 0.14081615954637527,
+      "num_tokens": 3690077.0,
+      "step": 2025
+    },
+    {
+      "entropy": 5.942774772644043,
+      "epoch": 1.6818558409279205,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004904571373211197,
+      "loss": 5.9906,
+      "mean_token_accuracy": 0.13563016131520272,
+      "num_tokens": 3700121.0,
+      "step": 2030
+    },
+    {
+      "entropy": 5.897730588912964,
+      "epoch": 1.6859983429991714,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000490364842044222,
+      "loss": 5.8074,
+      "mean_token_accuracy": 0.14530285224318504,
+      "num_tokens": 3709618.0,
+      "step": 2035
+    },
+    {
+      "entropy": 5.954602289199829,
+      "epoch": 1.6901408450704225,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004902721123529031,
+      "loss": 5.9869,
+      "mean_token_accuracy": 0.12953415215015412,
+      "num_tokens": 3719570.0,
+      "step": 2040
+    },
+    {
+      "entropy": 6.074023342132568,
+      "epoch": 1.6942833471416736,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000490178948434209,
+      "loss": 5.9267,
+      "mean_token_accuracy": 0.14249598532915114,
+      "num_tokens": 3729354.0,
+      "step": 2045
+    },
+    {
+      "entropy": 5.833365964889526,
+      "epoch": 1.6984258492129247,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004900853504760614,
+      "loss": 5.8409,
+      "mean_token_accuracy": 0.14450331926345825,
+      "num_tokens": 3738453.0,
+      "step": 2050
+    },
+    {
+      "entropy": 5.888468265533447,
+      "epoch": 1.7025683512841756,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004899913186672577,
+      "loss": 5.8165,
+      "mean_token_accuracy": 0.14293194860219954,
+      "num_tokens": 3747815.0,
+      "step": 2055
+    },
+    {
+      "entropy": 5.914711236953735,
+      "epoch": 1.7067108533554267,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004898968531974702,
+      "loss": 5.9249,
+      "mean_token_accuracy": 0.14642315953969956,
+      "num_tokens": 3757298.0,
+      "step": 2060
+    },
+    {
+      "entropy": 5.978992033004761,
+      "epoch": 1.7108533554266776,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004898019542572462,
+      "loss": 5.9124,
+      "mean_token_accuracy": 0.14719650894403458,
+      "num_tokens": 3765939.0,
+      "step": 2065
+    },
+    {
+      "entropy": 6.005469894409179,
+      "epoch": 1.7149958574979287,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004897066220380073,
+      "loss": 5.933,
+      "mean_token_accuracy": 0.13779435828328132,
+      "num_tokens": 3775160.0,
+      "step": 2070
+    },
+    {
+      "entropy": 5.921374797821045,
+      "epoch": 1.7191383595691798,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004896108567320489,
+      "loss": 5.831,
+      "mean_token_accuracy": 0.14186858981847764,
+      "num_tokens": 3785181.0,
+      "step": 2075
+    },
+    {
+      "entropy": 5.972924375534058,
+      "epoch": 1.723280861640431,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048951465853254,
+      "loss": 5.9444,
+      "mean_token_accuracy": 0.14323145076632499,
+      "num_tokens": 3794531.0,
+      "step": 2080
+    },
+    {
+      "entropy": 5.953138160705566,
+      "epoch": 1.7274233637116818,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004894180276335231,
+      "loss": 5.934,
+      "mean_token_accuracy": 0.1396125227212906,
+      "num_tokens": 3804602.0,
+      "step": 2085
+    },
+    {
+      "entropy": 5.9721667766571045,
+      "epoch": 1.731565865782933,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004893209642299132,
+      "loss": 5.97,
+      "mean_token_accuracy": 0.1395590640604496,
+      "num_tokens": 3813394.0,
+      "step": 2090
+    },
+    {
+      "entropy": 5.97849326133728,
+      "epoch": 1.7357083678541838,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004892234685174976,
+      "loss": 5.962,
+      "mean_token_accuracy": 0.13808128908276557,
+      "num_tokens": 3821604.0,
+      "step": 2095
+    },
+    {
+      "entropy": 5.967495775222778,
+      "epoch": 1.739850869925435,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004891255406929359,
+      "loss": 5.9564,
+      "mean_token_accuracy": 0.13652343899011612,
+      "num_tokens": 3831977.0,
+      "step": 2100
+    },
+    {
+      "entropy": 5.98737063407898,
+      "epoch": 1.743993371996686,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004890271809537595,
+      "loss": 5.9017,
+      "mean_token_accuracy": 0.1393343411386013,
+      "num_tokens": 3840684.0,
+      "step": 2105
+    },
+    {
+      "entropy": 5.870862340927124,
+      "epoch": 1.7481358740679371,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004889283894983704,
+      "loss": 5.8147,
+      "mean_token_accuracy": 0.1389534741640091,
+      "num_tokens": 3851147.0,
+      "step": 2110
+    },
+    {
+      "entropy": 6.002704238891601,
+      "epoch": 1.752278376139188,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000488829166526042,
+      "loss": 5.9838,
+      "mean_token_accuracy": 0.13991605415940284,
+      "num_tokens": 3859881.0,
+      "step": 2115
+    },
+    {
+      "entropy": 5.948231506347656,
+      "epoch": 1.7564208782104391,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004887295122369176,
+      "loss": 6.0107,
+      "mean_token_accuracy": 0.13371825441718102,
+      "num_tokens": 3870151.0,
+      "step": 2120
+    },
+    {
+      "entropy": 5.99525203704834,
+      "epoch": 1.76056338028169,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.000488629426832011,
+      "loss": 5.9313,
+      "mean_token_accuracy": 0.13850879445672035,
+      "num_tokens": 3878398.0,
+      "step": 2125
+    },
+    {
+      "entropy": 5.924004030227661,
+      "epoch": 1.7647058823529411,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004885289105132054,
+      "loss": 5.8893,
+      "mean_token_accuracy": 0.14114601090550422,
+      "num_tokens": 3888007.0,
+      "step": 2130
+    },
+    {
+      "entropy": 5.930246257781983,
+      "epoch": 1.7688483844241922,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004884279634832532,
+      "loss": 5.8728,
+      "mean_token_accuracy": 0.14278061985969542,
+      "num_tokens": 3896945.0,
+      "step": 2135
+    },
+    {
+      "entropy": 5.940092372894287,
+      "epoch": 1.7729908864954433,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004883265859457754,
+      "loss": 5.8905,
+      "mean_token_accuracy": 0.1457919418811798,
+      "num_tokens": 3906049.0,
+      "step": 2140
+    },
+    {
+      "entropy": 5.866062164306641,
+      "epoch": 1.7771333885666944,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048822477810526186,
+      "loss": 5.8422,
+      "mean_token_accuracy": 0.1388966679573059,
+      "num_tokens": 3915050.0,
+      "step": 2145
+    },
+    {
+      "entropy": 5.966696119308471,
+      "epoch": 1.7812758906379453,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00048812254016706994,
+      "loss": 5.9205,
+      "mean_token_accuracy": 0.14728582575917243,
+      "num_tokens": 3924031.0,
+      "step": 2150
+    },
+    {
+      "entropy": 5.915832757949829,
+      "epoch": 1.7854183927091962,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004880198723374247,
+      "loss": 5.9776,
+      "mean_token_accuracy": 0.14149753525853156,
+      "num_tokens": 3933756.0,
+      "step": 2155
+    },
+    {
+      "entropy": 5.959774684906006,
+      "epoch": 1.7895608947804473,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048791677482341845,
+      "loss": 5.9592,
+      "mean_token_accuracy": 0.13750381171703338,
+      "num_tokens": 3943129.0,
+      "step": 2160
+    },
+    {
+      "entropy": 5.881538438796997,
+      "epoch": 1.7937033968516984,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048781324783301016,
+      "loss": 5.7912,
+      "mean_token_accuracy": 0.14508036673069,
+      "num_tokens": 3951494.0,
+      "step": 2165
+    },
+    {
+      "entropy": 5.946735525131226,
+      "epoch": 1.7978458989229495,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048770929157502505,
+      "loss": 5.9565,
+      "mean_token_accuracy": 0.143115097284317,
+      "num_tokens": 3960588.0,
+      "step": 2170
+    },
+    {
+      "entropy": 5.9805809497833256,
+      "epoch": 1.8019884009942007,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004876049062591543,
+      "loss": 5.9226,
+      "mean_token_accuracy": 0.13506680428981782,
+      "num_tokens": 3970135.0,
+      "step": 2175
+    },
+    {
+      "entropy": 5.950060653686523,
+      "epoch": 1.8061309030654515,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048750009209595443,
+      "loss": 5.9042,
+      "mean_token_accuracy": 0.13944360390305519,
+      "num_tokens": 3979569.0,
+      "step": 2180
+    },
+    {
+      "entropy": 5.88271656036377,
+      "epoch": 1.8102734051367024,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048739484929684714,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.144245932251215,
+      "num_tokens": 3987885.0,
+      "step": 2185
+    },
+    {
+      "entropy": 5.933677864074707,
+      "epoch": 1.8144159072079535,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048728917807411856,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.13125594183802605,
+      "num_tokens": 3997726.0,
+      "step": 2190
+    },
+    {
+      "entropy": 6.008653068542481,
+      "epoch": 1.8185584092792046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004871830786409191,
+      "loss": 5.8436,
+      "mean_token_accuracy": 0.14898036047816277,
+      "num_tokens": 4006437.0,
+      "step": 2195
+    },
+    {
+      "entropy": 5.856683444976807,
+      "epoch": 1.8227009113504558,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00048707655121126296,
+      "loss": 5.8124,
+      "mean_token_accuracy": 0.14927435666322708,
+      "num_tokens": 4015326.0,
+      "step": 2200
+    },
+    {
+      "entropy": 5.924995994567871,
+      "epoch": 1.8268434134217069,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048696959600002767,
+      "loss": 5.8722,
+      "mean_token_accuracy": 0.14032577201724053,
+      "num_tokens": 4024294.0,
+      "step": 2205
+    },
+    {
+      "entropy": 5.881852293014527,
+      "epoch": 1.8309859154929577,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048686221322295347,
+      "loss": 5.9028,
+      "mean_token_accuracy": 0.14340249821543694,
+      "num_tokens": 4033341.0,
+      "step": 2210
+    },
+    {
+      "entropy": 5.951443433761597,
+      "epoch": 1.8351284175642086,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048675440309664314,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.1474481076002121,
+      "num_tokens": 4042446.0,
+      "step": 2215
+    },
+    {
+      "entropy": 5.832607173919678,
+      "epoch": 1.8392709196354597,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00048664616583856166,
+      "loss": 5.8924,
+      "mean_token_accuracy": 0.13868724405765534,
+      "num_tokens": 4051849.0,
+      "step": 2220
+    },
+    {
+      "entropy": 6.026660823822022,
+      "epoch": 1.8434134217067109,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00048653750166703516,
+      "loss": 5.9855,
+      "mean_token_accuracy": 0.1381051518023014,
+      "num_tokens": 4061075.0,
+      "step": 2225
+    },
+    {
+      "entropy": 5.976817560195923,
+      "epoch": 1.847555923777962,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004864284108012513,
+      "loss": 5.9524,
+      "mean_token_accuracy": 0.13498588278889656,
+      "num_tokens": 4071022.0,
+      "step": 2230
+    },
+    {
+      "entropy": 5.884273719787598,
+      "epoch": 1.851698425849213,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004863188934612583,
+      "loss": 5.854,
+      "mean_token_accuracy": 0.1435965158045292,
+      "num_tokens": 4080728.0,
+      "step": 2235
+    },
+    {
+      "entropy": 5.8848789691925045,
+      "epoch": 1.855840927920464,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004862089498679645,
+      "loss": 5.8121,
+      "mean_token_accuracy": 0.15146355628967284,
+      "num_tokens": 4088712.0,
+      "step": 2240
+    },
+    {
+      "entropy": 5.904728364944458,
+      "epoch": 1.8599834299917148,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004860985802431383,
+      "loss": 5.8445,
+      "mean_token_accuracy": 0.14107747822999955,
+      "num_tokens": 4097488.0,
+      "step": 2245
+    },
+    {
+      "entropy": 5.815548610687256,
+      "epoch": 1.864125932062966,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004859877848094071,
+      "loss": 5.8328,
+      "mean_token_accuracy": 0.14647450745105745,
+      "num_tokens": 4106485.0,
+      "step": 2250
+    },
+    {
+      "entropy": 5.969652986526489,
+      "epoch": 1.868268434134217,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004858765637902575,
+      "loss": 5.8016,
+      "mean_token_accuracy": 0.14588006138801574,
+      "num_tokens": 4115806.0,
+      "step": 2255
+    },
+    {
+      "entropy": 5.982199335098267,
+      "epoch": 1.8724109362054682,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004857649174100344,
+      "loss": 5.9353,
+      "mean_token_accuracy": 0.14478921219706536,
+      "num_tokens": 4124636.0,
+      "step": 2260
+    },
+    {
+      "entropy": 5.869907474517822,
+      "epoch": 1.8765534382767193,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.0004856528458939409,
+      "loss": 5.8948,
+      "mean_token_accuracy": 0.13403457626700402,
+      "num_tokens": 4133876.0,
+      "step": 2265
+    },
+    {
+      "entropy": 5.836872100830078,
+      "epoch": 1.8806959403479702,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004855403494680373,
+      "loss": 5.8159,
+      "mean_token_accuracy": 0.14096100330352784,
+      "num_tokens": 4143555.0,
+      "step": 2270
+    },
+    {
+      "entropy": 5.871636962890625,
+      "epoch": 1.884838442419221,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00048542742835924133,
+      "loss": 5.7773,
+      "mean_token_accuracy": 0.14253296032547952,
+      "num_tokens": 4153007.0,
+      "step": 2275
+    },
+    {
+      "entropy": 5.766701364517212,
+      "epoch": 1.8889809444904722,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048531408279532705,
+      "loss": 5.8171,
+      "mean_token_accuracy": 0.14552054405212403,
+      "num_tokens": 4162107.0,
+      "step": 2280
+    },
+    {
+      "entropy": 5.884533357620239,
+      "epoch": 1.8931234465617233,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048520031300492507,
+      "loss": 5.8208,
+      "mean_token_accuracy": 0.14203491136431695,
+      "num_tokens": 4170920.0,
+      "step": 2285
+    },
+    {
+      "entropy": 5.9367118835449215,
+      "epoch": 1.8972659486329744,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048508611921752124,
+      "loss": 5.8366,
+      "mean_token_accuracy": 0.14547978863120078,
+      "num_tokens": 4180226.0,
+      "step": 2290
+    },
+    {
+      "entropy": 5.804201984405518,
+      "epoch": 1.9014084507042255,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00048497150166345703,
+      "loss": 5.7799,
+      "mean_token_accuracy": 0.14307984560728074,
+      "num_tokens": 4189283.0,
+      "step": 2295
+    },
+    {
+      "entropy": 5.833661937713623,
+      "epoch": 1.9055509527754764,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004848564605739287,
+      "loss": 5.8181,
+      "mean_token_accuracy": 0.14286661818623542,
+      "num_tokens": 4199017.0,
+      "step": 2300
+    },
+    {
+      "entropy": 5.985245418548584,
+      "epoch": 1.9096934548467275,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048474099618098644,
+      "loss": 5.9557,
+      "mean_token_accuracy": 0.13776218444108962,
+      "num_tokens": 4207756.0,
+      "step": 2305
+    },
+    {
+      "entropy": 5.926583385467529,
+      "epoch": 1.9138359569179784,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004846251087175348,
+      "loss": 5.8467,
+      "mean_token_accuracy": 0.14270823299884797,
+      "num_tokens": 4216721.0,
+      "step": 2310
+    },
+    {
+      "entropy": 5.816466999053955,
+      "epoch": 1.9179784589892295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004845087984173312,
+      "loss": 5.8214,
+      "mean_token_accuracy": 0.14952016696333886,
+      "num_tokens": 4225596.0,
+      "step": 2315
+    },
+    {
+      "entropy": 5.975145244598389,
+      "epoch": 1.9221209610604806,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048439206551498644,
+      "loss": 5.8881,
+      "mean_token_accuracy": 0.14604572355747222,
+      "num_tokens": 4234500.0,
+      "step": 2320
+    },
+    {
+      "entropy": 5.83410792350769,
+      "epoch": 1.9262634631317317,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004842749102459635,
+      "loss": 5.8331,
+      "mean_token_accuracy": 0.14477182626724244,
+      "num_tokens": 4243240.0,
+      "step": 2325
+    },
+    {
+      "entropy": 5.799895906448365,
+      "epoch": 1.9304059652029826,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048415733284657727,
+      "loss": 5.8249,
+      "mean_token_accuracy": 0.14724751114845275,
+      "num_tokens": 4251892.0,
+      "step": 2330
+    },
+    {
+      "entropy": 5.914888668060303,
+      "epoch": 1.9345484672742337,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004840393335539943,
+      "loss": 5.784,
+      "mean_token_accuracy": 0.14537777602672577,
+      "num_tokens": 4261447.0,
+      "step": 2335
+    },
+    {
+      "entropy": 5.93565788269043,
+      "epoch": 1.9386909693454846,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048392091260623195,
+      "loss": 5.9202,
+      "mean_token_accuracy": 0.1471864774823189,
+      "num_tokens": 4270120.0,
+      "step": 2340
+    },
+    {
+      "entropy": 5.905978488922119,
+      "epoch": 1.9428334714167357,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048380207024215836,
+      "loss": 5.7991,
+      "mean_token_accuracy": 0.1482786476612091,
+      "num_tokens": 4278300.0,
+      "step": 2345
+    },
+    {
+      "entropy": 5.905145263671875,
+      "epoch": 1.9469759734879868,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00048368280670149145,
+      "loss": 5.8487,
+      "mean_token_accuracy": 0.1461447760462761,
+      "num_tokens": 4286454.0,
+      "step": 2350
+    },
+    {
+      "entropy": 5.805000495910645,
+      "epoch": 1.951118475559238,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004835631222247989,
+      "loss": 5.7243,
+      "mean_token_accuracy": 0.15050614029169082,
+      "num_tokens": 4294752.0,
+      "step": 2355
+    },
+    {
+      "entropy": 5.907592630386352,
+      "epoch": 1.9552609776304888,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00048344301705349735,
+      "loss": 5.7974,
+      "mean_token_accuracy": 0.14830030649900436,
+      "num_tokens": 4303195.0,
+      "step": 2360
+    },
+    {
+      "entropy": 5.841587924957276,
+      "epoch": 1.95940347970174,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048332249142985195,
+      "loss": 5.9211,
+      "mean_token_accuracy": 0.1373597078025341,
+      "num_tokens": 4311961.0,
+      "step": 2365
+    },
+    {
+      "entropy": 5.900353670120239,
+      "epoch": 1.9635459817729908,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004832015455969763,
+      "loss": 5.7748,
+      "mean_token_accuracy": 0.13879901468753814,
+      "num_tokens": 4322267.0,
+      "step": 2370
+    },
+    {
+      "entropy": 5.774641275405884,
+      "epoch": 1.9676884838442419,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048308017979883114,
+      "loss": 5.8838,
+      "mean_token_accuracy": 0.1426581546664238,
+      "num_tokens": 4330584.0,
+      "step": 2375
+    },
+    {
+      "entropy": 5.840176010131836,
+      "epoch": 1.971830985915493,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048295839428022454,
+      "loss": 5.7215,
+      "mean_token_accuracy": 0.14949245899915695,
+      "num_tokens": 4339215.0,
+      "step": 2380
+    },
+    {
+      "entropy": 5.869688034057617,
+      "epoch": 1.975973487986744,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00048283618928681127,
+      "loss": 5.7418,
+      "mean_token_accuracy": 0.1501791574060917,
+      "num_tokens": 4347711.0,
+      "step": 2385
+    },
+    {
+      "entropy": 5.764533996582031,
+      "epoch": 1.980115990057995,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004827135650650923,
+      "loss": 5.7445,
+      "mean_token_accuracy": 0.14758301600813867,
+      "num_tokens": 4356982.0,
+      "step": 2390
+    },
+    {
+      "entropy": 5.770398235321045,
+      "epoch": 1.984258492129246,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004825905218624139,
+      "loss": 5.7696,
+      "mean_token_accuracy": 0.14773683473467827,
+      "num_tokens": 4365378.0,
+      "step": 2395
+    },
+    {
+      "entropy": 5.9908288478851315,
+      "epoch": 1.988400994200497,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048246705992696756,
+      "loss": 5.8174,
+      "mean_token_accuracy": 0.14142358154058457,
+      "num_tokens": 4374007.0,
+      "step": 2400
+    },
+    {
+      "entropy": 5.9741987705230715,
+      "epoch": 1.992543496271748,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048234317950778975,
+      "loss": 5.9346,
+      "mean_token_accuracy": 0.1409923940896988,
+      "num_tokens": 4383909.0,
+      "step": 2405
+    },
+    {
+      "entropy": 5.967488718032837,
+      "epoch": 1.9966859983429992,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004822188808547607,
+      "loss": 5.9967,
+      "mean_token_accuracy": 0.13560240790247918,
+      "num_tokens": 4393145.0,
+      "step": 2410
+    },
+    {
+      "entropy": 5.751282596588135,
+      "epoch": 2.0008285004142503,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004820941642186043,
+      "loss": 5.7146,
+      "mean_token_accuracy": 0.14043126851320267,
+      "num_tokens": 4402024.0,
+      "step": 2415
+    },
+    {
+      "entropy": 5.91456356048584,
+      "epoch": 2.0049710024855014,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004819690298508879,
+      "loss": 5.5395,
+      "mean_token_accuracy": 0.1603303700685501,
+      "num_tokens": 4411377.0,
+      "step": 2420
+    },
+    {
+      "entropy": 5.758482313156128,
+      "epoch": 2.009113504556752,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048184347800402083,
+      "loss": 5.4299,
+      "mean_token_accuracy": 0.16564757078886033,
+      "num_tokens": 4419781.0,
+      "step": 2425
+    },
+    {
+      "entropy": 5.727555131912231,
+      "epoch": 2.013256006628003,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004817175089312551,
+      "loss": 5.4154,
+      "mean_token_accuracy": 0.16400155574083328,
+      "num_tokens": 4428427.0,
+      "step": 2430
+    },
+    {
+      "entropy": 5.749885892868042,
+      "epoch": 2.0173985086992543,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048159112288668403,
+      "loss": 5.4586,
+      "mean_token_accuracy": 0.15933601409196854,
+      "num_tokens": 4438156.0,
+      "step": 2435
+    },
+    {
+      "entropy": 5.876013088226318,
+      "epoch": 2.0215410107705054,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00048146432012524215,
+      "loss": 5.4819,
+      "mean_token_accuracy": 0.16306492537260056,
+      "num_tokens": 4446342.0,
+      "step": 2440
+    },
+    {
+      "entropy": 5.738983201980591,
+      "epoch": 2.0256835128417565,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00048133710090270446,
+      "loss": 5.5229,
+      "mean_token_accuracy": 0.1542331963777542,
+      "num_tokens": 4455582.0,
+      "step": 2445
+    },
+    {
+      "entropy": 5.815389633178711,
+      "epoch": 2.0298260149130076,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048120946547568596,
+      "loss": 5.5375,
+      "mean_token_accuracy": 0.15604802072048188,
+      "num_tokens": 4464518.0,
+      "step": 2450
+    },
+    {
+      "entropy": 5.927202749252319,
+      "epoch": 2.0339685169842583,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00048108141410164133,
+      "loss": 5.6588,
+      "mean_token_accuracy": 0.14534952044486998,
+      "num_tokens": 4475031.0,
+      "step": 2455
+    },
+    {
+      "entropy": 5.8722837448120115,
+      "epoch": 2.0381110190555094,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004809529470388642,
+      "loss": 5.5396,
+      "mean_token_accuracy": 0.1577153742313385,
+      "num_tokens": 4484609.0,
+      "step": 2460
+    },
+    {
+      "entropy": 5.787671709060669,
+      "epoch": 2.0422535211267605,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004808240645464866,
+      "loss": 5.5698,
+      "mean_token_accuracy": 0.15477177649736404,
+      "num_tokens": 4494238.0,
+      "step": 2465
+    },
+    {
+      "entropy": 5.684235668182373,
+      "epoch": 2.0463960231980116,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004806947668844787,
+      "loss": 5.4573,
+      "mean_token_accuracy": 0.16172746568918228,
+      "num_tokens": 4503258.0,
+      "step": 2470
+    },
+    {
+      "entropy": 5.786364412307739,
+      "epoch": 2.0505385252692627,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048056505431364794,
+      "loss": 5.5091,
+      "mean_token_accuracy": 0.15975141078233718,
+      "num_tokens": 4512071.0,
+      "step": 2475
+    },
+    {
+      "entropy": 5.736668491363526,
+      "epoch": 2.054681027340514,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00048043492709563877,
+      "loss": 5.3461,
+      "mean_token_accuracy": 0.17059434503316878,
+      "num_tokens": 4520219.0,
+      "step": 2480
+    },
+    {
+      "entropy": 5.672813034057617,
+      "epoch": 2.0588235294117645,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048030438549293193,
+      "loss": 5.5568,
+      "mean_token_accuracy": 0.15284566581249237,
+      "num_tokens": 4529386.0,
+      "step": 2485
+    },
+    {
+      "entropy": 5.830966377258301,
+      "epoch": 2.0629660314830156,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00048017342976884424,
+      "loss": 5.5638,
+      "mean_token_accuracy": 0.15199215039610864,
+      "num_tokens": 4538860.0,
+      "step": 2490
+    },
+    {
+      "entropy": 5.761076402664185,
+      "epoch": 2.0671085335542667,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048004206018752773,
+      "loss": 5.5299,
+      "mean_token_accuracy": 0.15335657596588134,
+      "num_tokens": 4547842.0,
+      "step": 2495
+    },
+    {
+      "entropy": 5.733208799362183,
+      "epoch": 2.071251035625518,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047991027701396895,
+      "loss": 5.5026,
+      "mean_token_accuracy": 0.15411428660154342,
+      "num_tokens": 4556238.0,
+      "step": 2500
+    },
+    {
+      "epoch": 2.071251035625518,
+      "eval_entropy": 5.642364594473768,
+      "eval_loss": 6.032641410827637,
+      "eval_mean_token_accuracy": 0.1416530203399882,
+      "eval_num_tokens": 4556238.0,
+      "eval_runtime": 2.7817,
+      "eval_samples_per_second": 1347.034,
+      "eval_steps_per_second": 168.604,
+      "step": 2500
+    },
+    {
+      "entropy": 5.732073068618774,
+      "epoch": 2.075393537696769,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004797780805139892,
+      "loss": 5.5069,
+      "mean_token_accuracy": 0.1587075412273407,
+      "num_tokens": 4565684.0,
+      "step": 2505
+    },
+    {
+      "entropy": 5.722462224960327,
+      "epoch": 2.07953603976802,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004796454709542432,
+      "loss": 5.467,
+      "mean_token_accuracy": 0.1590041533112526,
+      "num_tokens": 4575001.0,
+      "step": 2510
+    },
+    {
+      "entropy": 5.797696113586426,
+      "epoch": 2.083678541839271,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004795124486022189,
+      "loss": 5.5732,
+      "mean_token_accuracy": 0.15362634360790253,
+      "num_tokens": 4584128.0,
+      "step": 2515
+    },
+    {
+      "entropy": 5.711380529403686,
+      "epoch": 2.087821043910522,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047937901372623694,
+      "loss": 5.4191,
+      "mean_token_accuracy": 0.16894411891698838,
+      "num_tokens": 4593011.0,
+      "step": 2520
+    },
+    {
+      "entropy": 5.688450145721435,
+      "epoch": 2.091963545981773,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00047924516659545005,
+      "loss": 5.4668,
+      "mean_token_accuracy": 0.16164053976535797,
+      "num_tokens": 4602676.0,
+      "step": 2525
+    },
+    {
+      "entropy": 5.79151463508606,
+      "epoch": 2.096106048053024,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004791109074798425,
+      "loss": 5.5522,
+      "mean_token_accuracy": 0.15433578938245773,
+      "num_tokens": 4611915.0,
+      "step": 2530
+    },
+    {
+      "entropy": 5.748647403717041,
+      "epoch": 2.100248550124275,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004789762366502296,
+      "loss": 5.5184,
+      "mean_token_accuracy": 0.15959300100803375,
+      "num_tokens": 4621396.0,
+      "step": 2535
+    },
+    {
+      "entropy": 5.7374598503112795,
+      "epoch": 2.1043910521955262,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004788411543782571,
+      "loss": 5.5201,
+      "mean_token_accuracy": 0.1591552659869194,
+      "num_tokens": 4630533.0,
+      "step": 2540
+    },
+    {
+      "entropy": 5.678498649597168,
+      "epoch": 2.108533554266777,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004787056609364008,
+      "loss": 5.4599,
+      "mean_token_accuracy": 0.1542729303240776,
+      "num_tokens": 4639023.0,
+      "step": 2545
+    },
+    {
+      "entropy": 5.711474943161011,
+      "epoch": 2.112676056338028,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004785697565979657,
+      "loss": 5.4732,
+      "mean_token_accuracy": 0.15900285094976424,
+      "num_tokens": 4647975.0,
+      "step": 2550
+    },
+    {
+      "entropy": 5.72883243560791,
+      "epoch": 2.116818558409279,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004784334416370857,
+      "loss": 5.498,
+      "mean_token_accuracy": 0.15594277828931807,
+      "num_tokens": 4657555.0,
+      "step": 2555
+    },
+    {
+      "entropy": 5.745093822479248,
+      "epoch": 2.1209610604805302,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004782967163287231,
+      "loss": 5.4193,
+      "mean_token_accuracy": 0.16100153774023057,
+      "num_tokens": 4667228.0,
+      "step": 2560
+    },
+    {
+      "entropy": 5.716836738586426,
+      "epoch": 2.1251035625517813,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047815958094866756,
+      "loss": 5.4957,
+      "mean_token_accuracy": 0.1513967014849186,
+      "num_tokens": 4676723.0,
+      "step": 2565
+    },
+    {
+      "entropy": 5.7276163578033445,
+      "epoch": 2.1292460646230325,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004780220357735363,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.15479894131422042,
+      "num_tokens": 4686241.0,
+      "step": 2570
+    },
+    {
+      "entropy": 5.764811038970947,
+      "epoch": 2.1333885666942836,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047788408108077294,
+      "loss": 5.5404,
+      "mean_token_accuracy": 0.1561874568462372,
+      "num_tokens": 4695195.0,
+      "step": 2575
+    },
+    {
+      "entropy": 5.739376497268677,
+      "epoch": 2.1375310687655342,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004777457171486471,
+      "loss": 5.5871,
+      "mean_token_accuracy": 0.15551834553480148,
+      "num_tokens": 4704716.0,
+      "step": 2580
+    },
+    {
+      "entropy": 5.769967555999756,
+      "epoch": 2.1416735708367853,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004776069442562541,
+      "loss": 5.5562,
+      "mean_token_accuracy": 0.15339450240135194,
+      "num_tokens": 4713720.0,
+      "step": 2585
+    },
+    {
+      "entropy": 5.733342504501342,
+      "epoch": 2.1458160729080364,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004774677626835138,
+      "loss": 5.5366,
+      "mean_token_accuracy": 0.15301723331212996,
+      "num_tokens": 4722428.0,
+      "step": 2590
+    },
+    {
+      "entropy": 5.787648677825928,
+      "epoch": 2.1499585749792876,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00047732817271117084,
+      "loss": 5.5365,
+      "mean_token_accuracy": 0.15334974452853203,
+      "num_tokens": 4732395.0,
+      "step": 2595
+    },
+    {
+      "entropy": 5.773520803451538,
+      "epoch": 2.1541010770505387,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004771881746207934,
+      "loss": 5.5206,
+      "mean_token_accuracy": 0.15674114525318145,
+      "num_tokens": 4741071.0,
+      "step": 2600
+    },
+    {
+      "entropy": 5.607013797760009,
+      "epoch": 2.1582435791217898,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047704776869477285,
+      "loss": 5.5153,
+      "mean_token_accuracy": 0.15076877027750016,
+      "num_tokens": 4749876.0,
+      "step": 2605
+    },
+    {
+      "entropy": 5.784313154220581,
+      "epoch": 2.1623860811930404,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00047690695521632344,
+      "loss": 5.4669,
+      "mean_token_accuracy": 0.16002854704856873,
+      "num_tokens": 4758721.0,
+      "step": 2610
+    },
+    {
+      "entropy": 5.6919313907623295,
+      "epoch": 2.1665285832642915,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047676573446948114,
+      "loss": 5.4832,
+      "mean_token_accuracy": 0.15925751626491547,
+      "num_tokens": 4767162.0,
+      "step": 2615
+    },
+    {
+      "entropy": 5.71550760269165,
+      "epoch": 2.1706710853355426,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047662410673910376,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.1629578560590744,
+      "num_tokens": 4776397.0,
+      "step": 2620
+    },
+    {
+      "entropy": 5.665811157226562,
+      "epoch": 2.1748135874067938,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047648207231087,
+      "loss": 5.4579,
+      "mean_token_accuracy": 0.15894875824451446,
+      "num_tokens": 4784822.0,
+      "step": 2625
+    },
+    {
+      "entropy": 5.71003270149231,
+      "epoch": 2.178956089478045,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004763396314712786,
+      "loss": 5.5297,
+      "mean_token_accuracy": 0.15831661075353623,
+      "num_tokens": 4794272.0,
+      "step": 2630
+    },
+    {
+      "entropy": 5.64026665687561,
+      "epoch": 2.183098591549296,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004761967845076484,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.15510014593601226,
+      "num_tokens": 4804314.0,
+      "step": 2635
+    },
+    {
+      "entropy": 5.6847330093383786,
+      "epoch": 2.1872410936205466,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004760535317081174,
+      "loss": 5.4694,
+      "mean_token_accuracy": 0.15845878273248673,
+      "num_tokens": 4812685.0,
+      "step": 2640
+    },
+    {
+      "entropy": 5.715235567092895,
+      "epoch": 2.1913835956917977,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047590987336164207,
+      "loss": 5.5532,
+      "mean_token_accuracy": 0.1562129870057106,
+      "num_tokens": 4821761.0,
+      "step": 2645
+    },
+    {
+      "entropy": 5.741413831710815,
+      "epoch": 2.195526097763049,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00047576580975799705,
+      "loss": 5.5307,
+      "mean_token_accuracy": 0.1623195379972458,
+      "num_tokens": 4830515.0,
+      "step": 2650
+    },
+    {
+      "entropy": 5.782008934020996,
+      "epoch": 2.1996685998343,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004756213411877743,
+      "loss": 5.5059,
+      "mean_token_accuracy": 0.14879967421293258,
+      "num_tokens": 4840741.0,
+      "step": 2655
+    },
+    {
+      "entropy": 5.612497425079345,
+      "epoch": 2.203811101905551,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047547646794238277,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.16198884546756745,
+      "num_tokens": 4849571.0,
+      "step": 2660
+    },
+    {
+      "entropy": 5.689143991470337,
+      "epoch": 2.207953603976802,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047533119031404757,
+      "loss": 5.4138,
+      "mean_token_accuracy": 0.1696420982480049,
+      "num_tokens": 4857194.0,
+      "step": 2665
+    },
+    {
+      "entropy": 5.632621717453003,
+      "epoch": 2.212096106048053,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00047518550859580966,
+      "loss": 5.5074,
+      "mean_token_accuracy": 0.1592964008450508,
+      "num_tokens": 4865894.0,
+      "step": 2670
+    },
+    {
+      "entropy": 5.74289755821228,
+      "epoch": 2.216238608119304,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004750394230815249,
+      "loss": 5.5268,
+      "mean_token_accuracy": 0.15829544067382811,
+      "num_tokens": 4875131.0,
+      "step": 2675
+    },
+    {
+      "entropy": 5.670539522171021,
+      "epoch": 2.220381110190555,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047489293406586375,
+      "loss": 5.3777,
+      "mean_token_accuracy": 0.1620385766029358,
+      "num_tokens": 4884098.0,
+      "step": 2680
+    },
+    {
+      "entropy": 5.657269620895386,
+      "epoch": 2.224523612261806,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004747460418443106,
+      "loss": 5.4373,
+      "mean_token_accuracy": 0.15941016003489494,
+      "num_tokens": 4892963.0,
+      "step": 2685
+    },
+    {
+      "entropy": 5.690485191345215,
+      "epoch": 2.2286661143330573,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047459874671316305,
+      "loss": 5.4903,
+      "mean_token_accuracy": 0.15749651044607163,
+      "num_tokens": 4902097.0,
+      "step": 2690
+    },
+    {
+      "entropy": 5.608357000350952,
+      "epoch": 2.2328086164043084,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00047445104896953153,
+      "loss": 5.4015,
+      "mean_token_accuracy": 0.16532779037952422,
+      "num_tokens": 4910469.0,
+      "step": 2695
+    },
+    {
+      "entropy": 5.82715744972229,
+      "epoch": 2.236951118475559,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047430294891133846,
+      "loss": 5.6892,
+      "mean_token_accuracy": 0.1501491665840149,
+      "num_tokens": 4921024.0,
+      "step": 2700
+    },
+    {
+      "entropy": 5.749764776229858,
+      "epoch": 2.24109362054681,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004741544468373179,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15474629402160645,
+      "num_tokens": 4930297.0,
+      "step": 2705
+    },
+    {
+      "entropy": 5.687776947021485,
+      "epoch": 2.2452361226180613,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00047400554304701474,
+      "loss": 5.4692,
+      "mean_token_accuracy": 0.16049361675977708,
+      "num_tokens": 4938971.0,
+      "step": 2710
+    },
+    {
+      "entropy": 5.571053695678711,
+      "epoch": 2.2493786246893124,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047385623784078427,
+      "loss": 5.4899,
+      "mean_token_accuracy": 0.15803302526474,
+      "num_tokens": 4948531.0,
+      "step": 2715
+    },
+    {
+      "entropy": 5.787879133224488,
+      "epoch": 2.2535211267605635,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004737065315197913,
+      "loss": 5.5664,
+      "mean_token_accuracy": 0.1587745025753975,
+      "num_tokens": 4957430.0,
+      "step": 2720
+    },
+    {
+      "entropy": 5.720958280563354,
+      "epoch": 2.2576636288318146,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047355642438600987,
+      "loss": 5.5478,
+      "mean_token_accuracy": 0.16044806241989135,
+      "num_tokens": 4966681.0,
+      "step": 2725
+    },
+    {
+      "entropy": 5.638753175735474,
+      "epoch": 2.2618061309030653,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004734059167422225,
+      "loss": 5.4123,
+      "mean_token_accuracy": 0.1639780133962631,
+      "num_tokens": 4975327.0,
+      "step": 2730
+    },
+    {
+      "entropy": 5.634887552261352,
+      "epoch": 2.2659486329743164,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047325500889201956,
+      "loss": 5.4725,
+      "mean_token_accuracy": 0.16207436099648476,
+      "num_tokens": 4983741.0,
+      "step": 2735
+    },
+    {
+      "entropy": 5.673438644409179,
+      "epoch": 2.2700911350455675,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004731037011397986,
+      "loss": 5.5662,
+      "mean_token_accuracy": 0.15884149968624114,
+      "num_tokens": 4993171.0,
+      "step": 2740
+    },
+    {
+      "entropy": 5.752307653427124,
+      "epoch": 2.2742336371168186,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047295199379076403,
+      "loss": 5.6,
+      "mean_token_accuracy": 0.15322241187095642,
+      "num_tokens": 5002810.0,
+      "step": 2745
+    },
+    {
+      "entropy": 5.7073346138000485,
+      "epoch": 2.2783761391880697,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000472799887150926,
+      "loss": 5.4893,
+      "mean_token_accuracy": 0.15741414427757264,
+      "num_tokens": 5011875.0,
+      "step": 2750
+    },
+    {
+      "entropy": 5.679959297180176,
+      "epoch": 2.282518641259321,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004726473815271003,
+      "loss": 5.5349,
+      "mean_token_accuracy": 0.15855301022529603,
+      "num_tokens": 5020780.0,
+      "step": 2755
+    },
+    {
+      "entropy": 5.669374132156372,
+      "epoch": 2.286661143330572,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047249447722690747,
+      "loss": 5.4331,
+      "mean_token_accuracy": 0.16046710908412934,
+      "num_tokens": 5029896.0,
+      "step": 2760
+    },
+    {
+      "entropy": 5.652454280853272,
+      "epoch": 2.2908036454018226,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047234117455877215,
+      "loss": 5.4932,
+      "mean_token_accuracy": 0.1545606277883053,
+      "num_tokens": 5038956.0,
+      "step": 2765
+    },
+    {
+      "entropy": 5.639697694778443,
+      "epoch": 2.2949461474730737,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004721874738319225,
+      "loss": 5.4594,
+      "mean_token_accuracy": 0.17258906960487366,
+      "num_tokens": 5047005.0,
+      "step": 2770
+    },
+    {
+      "entropy": 5.655842065811157,
+      "epoch": 2.299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004720333753563898,
+      "loss": 5.5008,
+      "mean_token_accuracy": 0.15116662830114364,
+      "num_tokens": 5056475.0,
+      "step": 2775
+    },
+    {
+      "entropy": 5.704644584655762,
+      "epoch": 2.303231151615576,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00047187887944300747,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16439782381057738,
+      "num_tokens": 5064978.0,
+      "step": 2780
+    },
+    {
+      "entropy": 5.726413679122925,
+      "epoch": 2.307373653686827,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004717239864034107,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.15506226867437362,
+      "num_tokens": 5074235.0,
+      "step": 2785
+    },
+    {
+      "entropy": 5.662968683242798,
+      "epoch": 2.3115161557580777,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047156869655003554,
+      "loss": 5.4481,
+      "mean_token_accuracy": 0.16141191571950914,
+      "num_tokens": 5082386.0,
+      "step": 2790
+    },
+    {
+      "entropy": 5.631324100494385,
+      "epoch": 2.315658657829329,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047141301019611875,
+      "loss": 5.4164,
+      "mean_token_accuracy": 0.16636510640382768,
+      "num_tokens": 5090634.0,
+      "step": 2795
+    },
+    {
+      "entropy": 5.818879795074463,
+      "epoch": 2.31980115990058,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004712569276556967,
+      "loss": 5.5906,
+      "mean_token_accuracy": 0.14937217235565187,
+      "num_tokens": 5099003.0,
+      "step": 2800
+    },
+    {
+      "entropy": 5.617757177352905,
+      "epoch": 2.323943661971831,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00047110044924360484,
+      "loss": 5.6681,
+      "mean_token_accuracy": 0.1565680392086506,
+      "num_tokens": 5108631.0,
+      "step": 2805
+    },
+    {
+      "entropy": 5.732515859603882,
+      "epoch": 2.328086164043082,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00047094357527547725,
+      "loss": 5.4545,
+      "mean_token_accuracy": 0.15828853249549865,
+      "num_tokens": 5117309.0,
+      "step": 2810
+    },
+    {
+      "entropy": 5.686485624313354,
+      "epoch": 2.332228666114333,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004707863060677459,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.1627561032772064,
+      "num_tokens": 5126305.0,
+      "step": 2815
+    },
+    {
+      "entropy": 5.821760654449463,
+      "epoch": 2.3363711681855843,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00047062864193764,
+      "loss": 5.6022,
+      "mean_token_accuracy": 0.15580221712589265,
+      "num_tokens": 5135338.0,
+      "step": 2820
+    },
+    {
+      "entropy": 5.676449155807495,
+      "epoch": 2.340513670256835,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047047058320318525,
+      "loss": 5.5298,
+      "mean_token_accuracy": 0.16162888556718827,
+      "num_tokens": 5144518.0,
+      "step": 2825
+    },
+    {
+      "entropy": 5.702890157699585,
+      "epoch": 2.344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004703121301832034,
+      "loss": 5.6262,
+      "mean_token_accuracy": 0.15101130157709122,
+      "num_tokens": 5154102.0,
+      "step": 2830
+    },
+    {
+      "entropy": 5.7891247272491455,
+      "epoch": 2.348798674399337,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047015328319731153,
+      "loss": 5.5642,
+      "mean_token_accuracy": 0.15612353384494781,
+      "num_tokens": 5163719.0,
+      "step": 2835
+    },
+    {
+      "entropy": 5.677855682373047,
+      "epoch": 2.3529411764705883,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004699940425659215,
+      "loss": 5.5247,
+      "mean_token_accuracy": 0.15519936084747316,
+      "num_tokens": 5173192.0,
+      "step": 2840
+    },
+    {
+      "entropy": 5.622324132919312,
+      "epoch": 2.3570836785418394,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00046983440861023877,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.1663823500275612,
+      "num_tokens": 5182438.0,
+      "step": 2845
+    },
+    {
+      "entropy": 5.699106454849243,
+      "epoch": 2.36122618061309,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046967438165226275,
+      "loss": 5.6015,
+      "mean_token_accuracy": 0.15352728664875032,
+      "num_tokens": 5191595.0,
+      "step": 2850
+    },
+    {
+      "entropy": 5.659265756607056,
+      "epoch": 2.365368682684341,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004695139620147851,
+      "loss": 5.4682,
+      "mean_token_accuracy": 0.1643056571483612,
+      "num_tokens": 5200174.0,
+      "step": 2855
+    },
+    {
+      "entropy": 5.713242053985596,
+      "epoch": 2.3695111847555923,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046935315002138994,
+      "loss": 5.5804,
+      "mean_token_accuracy": 0.15417435318231582,
+      "num_tokens": 5210454.0,
+      "step": 2860
+    },
+    {
+      "entropy": 5.727554702758789,
+      "epoch": 2.3736536868268434,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004691919459964525,
+      "loss": 5.5019,
+      "mean_token_accuracy": 0.16056040227413176,
+      "num_tokens": 5219243.0,
+      "step": 2865
+    },
+    {
+      "entropy": 5.5862212657928465,
+      "epoch": 2.3777961888980945,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046903035026513894,
+      "loss": 5.4319,
+      "mean_token_accuracy": 0.1613735228776932,
+      "num_tokens": 5228656.0,
+      "step": 2870
+    },
+    {
+      "entropy": 5.587289905548095,
+      "epoch": 2.3819386909693456,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004688683631534056,
+      "loss": 5.4859,
+      "mean_token_accuracy": 0.156366066634655,
+      "num_tokens": 5237807.0,
+      "step": 2875
+    },
+    {
+      "entropy": 5.775411653518677,
+      "epoch": 2.3860811930405967,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004687059849879981,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.1609719067811966,
+      "num_tokens": 5247432.0,
+      "step": 2880
+    },
+    {
+      "entropy": 5.597807741165161,
+      "epoch": 2.3902236951118474,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00046854321609645093,
+      "loss": 5.4145,
+      "mean_token_accuracy": 0.16111126840114592,
+      "num_tokens": 5256680.0,
+      "step": 2885
+    },
+    {
+      "entropy": 5.6380726337432865,
+      "epoch": 2.3943661971830985,
+      "grad_norm": 2.15625,
+      "learning_rate": 0.00046838005680708677,
+      "loss": 5.5296,
+      "mean_token_accuracy": 0.14821895360946655,
+      "num_tokens": 5266793.0,
+      "step": 2890
+    },
+    {
+      "entropy": 5.710390281677246,
+      "epoch": 2.3985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046821650744901573,
+      "loss": 5.4452,
+      "mean_token_accuracy": 0.15857197493314742,
+      "num_tokens": 5275028.0,
+      "step": 2895
+    },
+    {
+      "entropy": 5.598506593704224,
+      "epoch": 2.4026512013256007,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004680525683521347,
+      "loss": 5.5226,
+      "mean_token_accuracy": 0.1566852644085884,
+      "num_tokens": 5284162.0,
+      "step": 2900
+    },
+    {
+      "entropy": 5.757242631912232,
+      "epoch": 2.406793703396852,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004678882398471269,
+      "loss": 5.5911,
+      "mean_token_accuracy": 0.15474308133125306,
+      "num_tokens": 5293263.0,
+      "step": 2905
+    },
+    {
+      "entropy": 5.654598569869995,
+      "epoch": 2.4109362054681025,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046772352226546066,
+      "loss": 5.477,
+      "mean_token_accuracy": 0.1666618600487709,
+      "num_tokens": 5301373.0,
+      "step": 2910
+    },
+    {
+      "entropy": 5.643638467788696,
+      "epoch": 2.4150787075393536,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004675584159393895,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.15203802064061164,
+      "num_tokens": 5311009.0,
+      "step": 2915
+    },
+    {
+      "entropy": 5.699149656295776,
+      "epoch": 2.4192212096106047,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046739292120195083,
+      "loss": 5.5245,
+      "mean_token_accuracy": 0.16085631400346756,
+      "num_tokens": 5320341.0,
+      "step": 2920
+    },
+    {
+      "entropy": 5.642888498306275,
+      "epoch": 2.423363711681856,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004672270383869657,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1610630214214325,
+      "num_tokens": 5329250.0,
+      "step": 2925
+    },
+    {
+      "entropy": 5.62935357093811,
+      "epoch": 2.427506213753107,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004670607678290379,
+      "loss": 5.4471,
+      "mean_token_accuracy": 0.16571807861328125,
+      "num_tokens": 5336515.0,
+      "step": 2930
+    },
+    {
+      "entropy": 5.655415058135986,
+      "epoch": 2.431648715824358,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004668941098635532,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.1595415398478508,
+      "num_tokens": 5346043.0,
+      "step": 2935
+    },
+    {
+      "entropy": 5.642036104202271,
+      "epoch": 2.435791217895609,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00046672706482667897,
+      "loss": 5.4925,
+      "mean_token_accuracy": 0.15832271426916122,
+      "num_tokens": 5355124.0,
+      "step": 2940
+    },
+    {
+      "entropy": 5.647988367080688,
+      "epoch": 2.43993371996686,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004665596330553633,
+      "loss": 5.5051,
+      "mean_token_accuracy": 0.1597411409020424,
+      "num_tokens": 5364556.0,
+      "step": 2945
+    },
+    {
+      "entropy": 5.67459397315979,
+      "epoch": 2.444076222038111,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046639181488733445,
+      "loss": 5.5316,
+      "mean_token_accuracy": 0.15941161364316941,
+      "num_tokens": 5373778.0,
+      "step": 2950
+    },
+    {
+      "entropy": 5.725692987442017,
+      "epoch": 2.448218724109362,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004662236106610999,
+      "loss": 5.5123,
+      "mean_token_accuracy": 0.15816445648670197,
+      "num_tokens": 5382633.0,
+      "step": 2955
+    },
+    {
+      "entropy": 5.5606146335601805,
+      "epoch": 2.452361226180613,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00046605502071594604,
+      "loss": 5.4163,
+      "mean_token_accuracy": 0.16387673169374467,
+      "num_tokens": 5391442.0,
+      "step": 2960
+    },
+    {
+      "entropy": 5.569208765029908,
+      "epoch": 2.4565037282518642,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004658860453919371,
+      "loss": 5.4388,
+      "mean_token_accuracy": 0.1621423229575157,
+      "num_tokens": 5400504.0,
+      "step": 2965
+    },
+    {
+      "entropy": 5.587312078475952,
+      "epoch": 2.460646230323115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004657166850299149,
+      "loss": 5.4448,
+      "mean_token_accuracy": 0.16361159086227417,
+      "num_tokens": 5408939.0,
+      "step": 2970
+    },
+    {
+      "entropy": 5.629118537902832,
+      "epoch": 2.464788732394366,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004655469399714978,
+      "loss": 5.4722,
+      "mean_token_accuracy": 0.1575179159641266,
+      "num_tokens": 5418934.0,
+      "step": 2975
+    },
+    {
+      "entropy": 5.572103595733642,
+      "epoch": 2.468931234465617,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004653768105590799,
+      "loss": 5.4955,
+      "mean_token_accuracy": 0.16008511185646057,
+      "num_tokens": 5427894.0,
+      "step": 2980
+    },
+    {
+      "entropy": 5.683330011367798,
+      "epoch": 2.4730737365368682,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046520629713583115,
+      "loss": 5.5003,
+      "mean_token_accuracy": 0.1613202139735222,
+      "num_tokens": 5436830.0,
+      "step": 2985
+    },
+    {
+      "entropy": 5.597742080688477,
+      "epoch": 2.4772162386081193,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046503540004569555,
+      "loss": 5.4814,
+      "mean_token_accuracy": 0.16423845291137695,
+      "num_tokens": 5445504.0,
+      "step": 2990
+    },
+    {
+      "entropy": 5.679887342453003,
+      "epoch": 2.4813587406793705,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046486411963339125,
+      "loss": 5.5405,
+      "mean_token_accuracy": 0.15501321628689765,
+      "num_tokens": 5455378.0,
+      "step": 2995
+    },
+    {
+      "entropy": 5.712473011016845,
+      "epoch": 2.4855012427506216,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046469245624440955,
+      "loss": 5.6107,
+      "mean_token_accuracy": 0.1589423656463623,
+      "num_tokens": 5465334.0,
+      "step": 3000
+    },
+    {
+      "epoch": 2.4855012427506216,
+      "eval_entropy": 5.590163738234465,
+      "eval_loss": 5.965892314910889,
+      "eval_mean_token_accuracy": 0.14734836894947329,
+      "eval_num_tokens": 5465334.0,
+      "eval_runtime": 2.7526,
+      "eval_samples_per_second": 1361.234,
+      "eval_steps_per_second": 170.381,
+      "step": 3000
+    },
+    {
+      "entropy": 5.751126146316528,
+      "epoch": 2.4896437448218722,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046452041022501423,
+      "loss": 5.5858,
+      "mean_token_accuracy": 0.15555662512779236,
+      "num_tokens": 5475701.0,
+      "step": 3005
+    },
+    {
+      "entropy": 5.699931526184082,
+      "epoch": 2.4937862468931233,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004643479819222411,
+      "loss": 5.4828,
+      "mean_token_accuracy": 0.16229774355888366,
+      "num_tokens": 5485244.0,
+      "step": 3010
+    },
+    {
+      "entropy": 5.596950387954712,
+      "epoch": 2.4979287489643744,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046417517168389664,
+      "loss": 5.4434,
+      "mean_token_accuracy": 0.1682340309023857,
+      "num_tokens": 5493587.0,
+      "step": 3015
+    },
+    {
+      "entropy": 5.6203169345855715,
+      "epoch": 2.5020712510356256,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004640019798585581,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.15738681554794312,
+      "num_tokens": 5503117.0,
+      "step": 3020
+    },
+    {
+      "entropy": 5.762682390213013,
+      "epoch": 2.5062137531068767,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046382840679557233,
+      "loss": 5.5352,
+      "mean_token_accuracy": 0.16024575680494307,
+      "num_tokens": 5512742.0,
+      "step": 3025
+    },
+    {
+      "entropy": 5.647499704360962,
+      "epoch": 2.5103562551781273,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00046365445284505516,
+      "loss": 5.4968,
+      "mean_token_accuracy": 0.16166605204343795,
+      "num_tokens": 5521862.0,
+      "step": 3030
+    },
+    {
+      "entropy": 5.597900772094727,
+      "epoch": 2.5144987572493784,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.0004634801183578907,
+      "loss": 5.488,
+      "mean_token_accuracy": 0.1608501434326172,
+      "num_tokens": 5531244.0,
+      "step": 3035
+    },
+    {
+      "entropy": 5.655751419067383,
+      "epoch": 2.5186412593206295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046330540368573063,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15176820158958435,
+      "num_tokens": 5540786.0,
+      "step": 3040
+    },
+    {
+      "entropy": 5.7291028022766115,
+      "epoch": 2.5227837613918807,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046313030918099365,
+      "loss": 5.5224,
+      "mean_token_accuracy": 0.1602902241051197,
+      "num_tokens": 5549961.0,
+      "step": 3045
+    },
+    {
+      "entropy": 5.620108366012573,
+      "epoch": 2.5269262634631318,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00046295483519686437,
+      "loss": 5.4591,
+      "mean_token_accuracy": 0.16417455673217773,
+      "num_tokens": 5558941.0,
+      "step": 3050
+    },
+    {
+      "entropy": 5.644694232940674,
+      "epoch": 2.531068765534383,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046277898208729306,
+      "loss": 5.4673,
+      "mean_token_accuracy": 0.16716189235448836,
+      "num_tokens": 5567630.0,
+      "step": 3055
+    },
+    {
+      "entropy": 5.586954879760742,
+      "epoch": 2.535211267605634,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004626027502069947,
+      "loss": 5.4301,
+      "mean_token_accuracy": 0.16521373838186265,
+      "num_tokens": 5576430.0,
+      "step": 3060
+    },
+    {
+      "entropy": 5.650178289413452,
+      "epoch": 2.539353769676885,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046242613991144814,
+      "loss": 5.5444,
+      "mean_token_accuracy": 0.1609214127063751,
+      "num_tokens": 5584785.0,
+      "step": 3065
+    },
+    {
+      "entropy": 5.585511493682861,
+      "epoch": 2.5434962717481358,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046224915155689586,
+      "loss": 5.478,
+      "mean_token_accuracy": 0.16044741719961167,
+      "num_tokens": 5594583.0,
+      "step": 3070
+    },
+    {
+      "entropy": 5.638197040557861,
+      "epoch": 2.547638773819387,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046207178550034244,
+      "loss": 5.4306,
+      "mean_token_accuracy": 0.1608849883079529,
+      "num_tokens": 5603498.0,
+      "step": 3075
+    },
+    {
+      "entropy": 5.7161966323852536,
+      "epoch": 2.551781275890638,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004618940420995547,
+      "loss": 5.5685,
+      "mean_token_accuracy": 0.15440558269619942,
+      "num_tokens": 5613101.0,
+      "step": 3080
+    },
+    {
+      "entropy": 5.665849494934082,
+      "epoch": 2.555923777961889,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004617159217130606,
+      "loss": 5.5409,
+      "mean_token_accuracy": 0.1569191187620163,
+      "num_tokens": 5621821.0,
+      "step": 3085
+    },
+    {
+      "entropy": 5.711861181259155,
+      "epoch": 2.5600662800331397,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004615374247001483,
+      "loss": 5.5738,
+      "mean_token_accuracy": 0.15701586306095122,
+      "num_tokens": 5631006.0,
+      "step": 3090
+    },
+    {
+      "entropy": 5.674423551559448,
+      "epoch": 2.564208782104391,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004613585514208659,
+      "loss": 5.5295,
+      "mean_token_accuracy": 0.15232180580496787,
+      "num_tokens": 5640159.0,
+      "step": 3095
+    },
+    {
+      "entropy": 5.592060613632202,
+      "epoch": 2.568351284175642,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046117930223602016,
+      "loss": 5.4003,
+      "mean_token_accuracy": 0.1694741129875183,
+      "num_tokens": 5648369.0,
+      "step": 3100
+    },
+    {
+      "entropy": 5.5982965469360355,
+      "epoch": 2.572493786246893,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004609996775071765,
+      "loss": 5.459,
+      "mean_token_accuracy": 0.1591326355934143,
+      "num_tokens": 5657669.0,
+      "step": 3105
+    },
+    {
+      "entropy": 5.56780686378479,
+      "epoch": 2.576636288318144,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004608196775966575,
+      "loss": 5.5319,
+      "mean_token_accuracy": 0.1610974356532097,
+      "num_tokens": 5666601.0,
+      "step": 3110
+    },
+    {
+      "entropy": 5.639773225784301,
+      "epoch": 2.5807787903893953,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046063930286754267,
+      "loss": 5.4465,
+      "mean_token_accuracy": 0.16618527621030807,
+      "num_tokens": 5675243.0,
+      "step": 3115
+    },
+    {
+      "entropy": 5.56855001449585,
+      "epoch": 2.5849212924606464,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00046045855368366756,
+      "loss": 5.466,
+      "mean_token_accuracy": 0.1630399063229561,
+      "num_tokens": 5683646.0,
+      "step": 3120
+    },
+    {
+      "entropy": 5.682586193084717,
+      "epoch": 2.5890637945318975,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.000460277430409623,
+      "loss": 5.5129,
+      "mean_token_accuracy": 0.17162407487630843,
+      "num_tokens": 5693069.0,
+      "step": 3125
+    },
+    {
+      "entropy": 5.587219524383545,
+      "epoch": 2.593206296603148,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046009593341075444,
+      "loss": 5.3754,
+      "mean_token_accuracy": 0.16499391198158264,
+      "num_tokens": 5701527.0,
+      "step": 3130
+    },
+    {
+      "entropy": 5.561956834793091,
+      "epoch": 2.5973487986743993,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004599140630531612,
+      "loss": 5.5403,
+      "mean_token_accuracy": 0.15682477951049806,
+      "num_tokens": 5710379.0,
+      "step": 3135
+    },
+    {
+      "entropy": 5.69692587852478,
+      "epoch": 2.6014913007456504,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004597318197036956,
+      "loss": 5.4524,
+      "mean_token_accuracy": 0.1643553927540779,
+      "num_tokens": 5719217.0,
+      "step": 3140
+    },
+    {
+      "entropy": 5.629226970672607,
+      "epoch": 2.6056338028169015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004595492037299624,
+      "loss": 5.5535,
+      "mean_token_accuracy": 0.16214104294776915,
+      "num_tokens": 5728331.0,
+      "step": 3145
+    },
+    {
+      "entropy": 5.608061027526856,
+      "epoch": 2.6097763048881526,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045936621550031806,
+      "loss": 5.5107,
+      "mean_token_accuracy": 0.16073764860630035,
+      "num_tokens": 5737696.0,
+      "step": 3150
+    },
+    {
+      "entropy": 5.731885099411011,
+      "epoch": 2.6139188069594033,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045918285538386973,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.16164542436599733,
+      "num_tokens": 5746191.0,
+      "step": 3155
+    },
+    {
+      "entropy": 5.703127813339234,
+      "epoch": 2.6180613090306544,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00045899912375047485,
+      "loss": 5.5619,
+      "mean_token_accuracy": 0.1629435494542122,
+      "num_tokens": 5754824.0,
+      "step": 3160
+    },
+    {
+      "entropy": 5.638229656219482,
+      "epoch": 2.6222038111019055,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045881502097074023,
+      "loss": 5.537,
+      "mean_token_accuracy": 0.1518124133348465,
+      "num_tokens": 5764863.0,
+      "step": 3165
+    },
+    {
+      "entropy": 5.614318180084228,
+      "epoch": 2.6263463131731566,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004586305474160212,
+      "loss": 5.5459,
+      "mean_token_accuracy": 0.15642993301153182,
+      "num_tokens": 5774273.0,
+      "step": 3170
+    },
+    {
+      "entropy": 5.666326427459717,
+      "epoch": 2.6304888152444077,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045844570345842116,
+      "loss": 5.5044,
+      "mean_token_accuracy": 0.16042826995253562,
+      "num_tokens": 5784085.0,
+      "step": 3175
+    },
+    {
+      "entropy": 5.659371709823608,
+      "epoch": 2.634631317315659,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004582604894707906,
+      "loss": 5.5336,
+      "mean_token_accuracy": 0.16884370446205138,
+      "num_tokens": 5793921.0,
+      "step": 3180
+    },
+    {
+      "entropy": 5.664378356933594,
+      "epoch": 2.63877381938691,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00045807490582672634,
+      "loss": 5.4972,
+      "mean_token_accuracy": 0.15294444859027861,
+      "num_tokens": 5803902.0,
+      "step": 3185
+    },
+    {
+      "entropy": 5.542481708526611,
+      "epoch": 2.6429163214581606,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00045788895290057083,
+      "loss": 5.4129,
+      "mean_token_accuracy": 0.16788192689418793,
+      "num_tokens": 5812089.0,
+      "step": 3190
+    },
+    {
+      "entropy": 5.6802209377288815,
+      "epoch": 2.6470588235294117,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00045770263106741137,
+      "loss": 5.5784,
+      "mean_token_accuracy": 0.1578851893544197,
+      "num_tokens": 5821072.0,
+      "step": 3195
+    },
+    {
+      "entropy": 5.628516340255738,
+      "epoch": 2.651201325600663,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004575159407030797,
+      "loss": 5.4029,
+      "mean_token_accuracy": 0.16388181746006011,
+      "num_tokens": 5829725.0,
+      "step": 3200
+    },
+    {
+      "entropy": 5.500157403945923,
+      "epoch": 2.655343827671914,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004573288821841505,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16496249735355378,
+      "num_tokens": 5838153.0,
+      "step": 3205
+    },
+    {
+      "entropy": 5.616616106033325,
+      "epoch": 2.659486329743165,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004571414558879413,
+      "loss": 5.4409,
+      "mean_token_accuracy": 0.15448423773050307,
+      "num_tokens": 5847270.0,
+      "step": 3210
+    },
+    {
+      "entropy": 5.6490891456604,
+      "epoch": 2.6636288318144157,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004569536621925114,
+      "loss": 5.5472,
+      "mean_token_accuracy": 0.15474478006362916,
+      "num_tokens": 5855954.0,
+      "step": 3215
+    },
+    {
+      "entropy": 5.634416961669922,
+      "epoch": 2.667771333885667,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004567655014766612,
+      "loss": 5.4529,
+      "mean_token_accuracy": 0.16163208782672883,
+      "num_tokens": 5864435.0,
+      "step": 3220
+    },
+    {
+      "entropy": 5.624909925460815,
+      "epoch": 2.671913835956918,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004565769741199314,
+      "loss": 5.5135,
+      "mean_token_accuracy": 0.1572384186089039,
+      "num_tokens": 5873964.0,
+      "step": 3225
+    },
+    {
+      "entropy": 5.727962255477905,
+      "epoch": 2.676056338028169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045638808050260237,
+      "loss": 5.4648,
+      "mean_token_accuracy": 0.16628578454256057,
+      "num_tokens": 5882738.0,
+      "step": 3230
+    },
+    {
+      "entropy": 5.587652635574341,
+      "epoch": 2.68019884009942,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00045619882100569317,
+      "loss": 5.5925,
+      "mean_token_accuracy": 0.15854242593050002,
+      "num_tokens": 5891749.0,
+      "step": 3235
+    },
+    {
+      "entropy": 5.627515649795532,
+      "epoch": 2.684341342170671,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004560091960109608,
+      "loss": 5.5372,
+      "mean_token_accuracy": 0.15811603218317033,
+      "num_tokens": 5900551.0,
+      "step": 3240
+    },
+    {
+      "entropy": 5.661735343933105,
+      "epoch": 2.6884838442419223,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004558192059008996,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.1517203629016876,
+      "num_tokens": 5909254.0,
+      "step": 3245
+    },
+    {
+      "entropy": 5.599635648727417,
+      "epoch": 2.692626346313173,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004556288510587406,
+      "loss": 5.4987,
+      "mean_token_accuracy": 0.15817683488130568,
+      "num_tokens": 5918357.0,
+      "step": 3250
+    },
+    {
+      "entropy": 5.662895679473877,
+      "epoch": 2.696768848384424,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00045543813186845004,
+      "loss": 5.5021,
+      "mean_token_accuracy": 0.15579704195261002,
+      "num_tokens": 5927742.0,
+      "step": 3255
+    },
+    {
+      "entropy": 5.627440690994263,
+      "epoch": 2.700911350455675,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004552470487147294,
+      "loss": 5.5823,
+      "mean_token_accuracy": 0.1556493915617466,
+      "num_tokens": 5937025.0,
+      "step": 3260
+    },
+    {
+      "entropy": 5.70678014755249,
+      "epoch": 2.7050538525269263,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045505560198301443,
+      "loss": 5.5615,
+      "mean_token_accuracy": 0.15135139375925064,
+      "num_tokens": 5946176.0,
+      "step": 3265
+    },
+    {
+      "entropy": 5.659924745559692,
+      "epoch": 2.7091963545981774,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045486379205947396,
+      "loss": 5.5233,
+      "mean_token_accuracy": 0.1584411159157753,
+      "num_tokens": 5955550.0,
+      "step": 3270
+    },
+    {
+      "entropy": 5.594695281982422,
+      "epoch": 2.713338856669428,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004546716193310098,
+      "loss": 5.4541,
+      "mean_token_accuracy": 0.1651945412158966,
+      "num_tokens": 5964467.0,
+      "step": 3275
+    },
+    {
+      "entropy": 5.605531787872314,
+      "epoch": 2.717481358740679,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000454479084185255,
+      "loss": 5.4855,
+      "mean_token_accuracy": 0.1514287754893303,
+      "num_tokens": 5973906.0,
+      "step": 3280
+    },
+    {
+      "entropy": 5.696796035766601,
+      "epoch": 2.7216238608119303,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004542861870105743,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.15694239139556884,
+      "num_tokens": 5983701.0,
+      "step": 3285
+    },
+    {
+      "entropy": 5.623150444030761,
+      "epoch": 2.7257663628831814,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045409292819606224,
+      "loss": 5.4971,
+      "mean_token_accuracy": 0.16068210303783417,
+      "num_tokens": 5993367.0,
+      "step": 3290
+    },
+    {
+      "entropy": 5.646857404708863,
+      "epoch": 2.7299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045389930813154297,
+      "loss": 5.4519,
+      "mean_token_accuracy": 0.16334805637598038,
+      "num_tokens": 6003752.0,
+      "step": 3295
+    },
+    {
+      "entropy": 5.675233459472656,
+      "epoch": 2.7340513670256836,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004537053272075693,
+      "loss": 5.5263,
+      "mean_token_accuracy": 0.1621565416455269,
+      "num_tokens": 6012486.0,
+      "step": 3300
+    },
+    {
+      "entropy": 5.5136041164398195,
+      "epoch": 2.7381938690969347,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045351098581542204,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.163838130235672,
+      "num_tokens": 6020742.0,
+      "step": 3305
+    },
+    {
+      "entropy": 5.646917295455933,
+      "epoch": 2.742336371168186,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004533162843471089,
+      "loss": 5.5009,
+      "mean_token_accuracy": 0.15474170595407485,
+      "num_tokens": 6030248.0,
+      "step": 3310
+    },
+    {
+      "entropy": 5.632185411453247,
+      "epoch": 2.7464788732394365,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004531212231953641,
+      "loss": 5.5436,
+      "mean_token_accuracy": 0.15157791674137117,
+      "num_tokens": 6039293.0,
+      "step": 3315
+    },
+    {
+      "entropy": 5.587828540802002,
+      "epoch": 2.7506213753106876,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004529258027536473,
+      "loss": 5.4134,
+      "mean_token_accuracy": 0.16378402560949326,
+      "num_tokens": 6048081.0,
+      "step": 3320
+    },
+    {
+      "entropy": 5.673684549331665,
+      "epoch": 2.7547638773819387,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004527300234161428,
+      "loss": 5.5753,
+      "mean_token_accuracy": 0.15969255268573762,
+      "num_tokens": 6057549.0,
+      "step": 3325
+    },
+    {
+      "entropy": 5.646554040908813,
+      "epoch": 2.75890637945319,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004525338855777591,
+      "loss": 5.5589,
+      "mean_token_accuracy": 0.15469738617539405,
+      "num_tokens": 6067372.0,
+      "step": 3330
+    },
+    {
+      "entropy": 5.595069122314453,
+      "epoch": 2.7630488815244405,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045233738963412746,
+      "loss": 5.4181,
+      "mean_token_accuracy": 0.1717814713716507,
+      "num_tokens": 6075532.0,
+      "step": 3335
+    },
+    {
+      "entropy": 5.5924467086792,
+      "epoch": 2.7671913835956916,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045214053598160173,
+      "loss": 5.4439,
+      "mean_token_accuracy": 0.16404369622468948,
+      "num_tokens": 6084389.0,
+      "step": 3340
+    },
+    {
+      "entropy": 5.598109579086303,
+      "epoch": 2.7713338856669427,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045194332501725725,
+      "loss": 5.4706,
+      "mean_token_accuracy": 0.16428767740726472,
+      "num_tokens": 6093536.0,
+      "step": 3345
+    },
+    {
+      "entropy": 5.637304496765137,
+      "epoch": 2.775476387738194,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00045174575713889014,
+      "loss": 5.5167,
+      "mean_token_accuracy": 0.16573925465345382,
+      "num_tokens": 6102677.0,
+      "step": 3350
+    },
+    {
+      "entropy": 5.677533674240112,
+      "epoch": 2.779618889809445,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004515478327450164,
+      "loss": 5.5926,
+      "mean_token_accuracy": 0.156404609978199,
+      "num_tokens": 6112430.0,
+      "step": 3355
+    },
+    {
+      "entropy": 5.643227863311767,
+      "epoch": 2.783761391880696,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00045134955223487093,
+      "loss": 5.4889,
+      "mean_token_accuracy": 0.16630716919898986,
+      "num_tokens": 6121408.0,
+      "step": 3360
+    },
+    {
+      "entropy": 5.57972674369812,
+      "epoch": 2.787903893951947,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00045115091600840757,
+      "loss": 5.5188,
+      "mean_token_accuracy": 0.15800442099571227,
+      "num_tokens": 6131339.0,
+      "step": 3365
+    },
+    {
+      "entropy": 5.624274778366089,
+      "epoch": 2.7920463960231983,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00045095192446629697,
+      "loss": 5.4816,
+      "mean_token_accuracy": 0.16174803227186202,
+      "num_tokens": 6140590.0,
+      "step": 3370
+    },
+    {
+      "entropy": 5.704814815521241,
+      "epoch": 2.796188898094449,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000450752578009927,
+      "loss": 5.5621,
+      "mean_token_accuracy": 0.1653067871928215,
+      "num_tokens": 6149958.0,
+      "step": 3375
+    },
+    {
+      "entropy": 5.58657054901123,
+      "epoch": 2.8003314001657,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045055287704140115,
+      "loss": 5.4346,
+      "mean_token_accuracy": 0.15949429720640182,
+      "num_tokens": 6159411.0,
+      "step": 3380
+    },
+    {
+      "entropy": 5.595387983322143,
+      "epoch": 2.804473902236951,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004503528219635381,
+      "loss": 5.5138,
+      "mean_token_accuracy": 0.1545591250061989,
+      "num_tokens": 6169264.0,
+      "step": 3385
+    },
+    {
+      "entropy": 5.617677021026611,
+      "epoch": 2.8086164043082023,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004501524131798709,
+      "loss": 5.4826,
+      "mean_token_accuracy": 0.16332829892635345,
+      "num_tokens": 6178374.0,
+      "step": 3390
+    },
+    {
+      "entropy": 5.7183191776275635,
+      "epoch": 2.812758906379453,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000449951651094646,
+      "loss": 5.4697,
+      "mean_token_accuracy": 0.15537519603967667,
+      "num_tokens": 6186918.0,
+      "step": 3395
+    },
+    {
+      "entropy": 5.566522169113159,
+      "epoch": 2.816901408450704,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044975053611282217,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.1613329365849495,
+      "num_tokens": 6196400.0,
+      "step": 3400
+    },
+    {
+      "entropy": 5.514105558395386,
+      "epoch": 2.821043910521955,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004495490686400706,
+      "loss": 5.3941,
+      "mean_token_accuracy": 0.1649619847536087,
+      "num_tokens": 6204849.0,
+      "step": 3405
+    },
+    {
+      "entropy": 5.615210485458374,
+      "epoch": 2.8251864125932062,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00044934724908277313,
+      "loss": 5.4834,
+      "mean_token_accuracy": 0.16362717300653457,
+      "num_tokens": 6214121.0,
+      "step": 3410
+    },
+    {
+      "entropy": 5.654720067977905,
+      "epoch": 2.8293289146644574,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044914507784802184,
+      "loss": 5.4835,
+      "mean_token_accuracy": 0.16509974151849746,
+      "num_tokens": 6223163.0,
+      "step": 3415
+    },
+    {
+      "entropy": 5.641624307632446,
+      "epoch": 2.8334714167357085,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004489425553436182,
+      "loss": 5.5084,
+      "mean_token_accuracy": 0.15882937759160995,
+      "num_tokens": 6231581.0,
+      "step": 3420
+    },
+    {
+      "entropy": 5.659383153915405,
+      "epoch": 2.8376139188069596,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00044873968197807213,
+      "loss": 5.5838,
+      "mean_token_accuracy": 0.1599879801273346,
+      "num_tokens": 6240015.0,
+      "step": 3425
+    },
+    {
+      "entropy": 5.666435050964355,
+      "epoch": 2.8417564208782107,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044853645816060156,
+      "loss": 5.5979,
+      "mean_token_accuracy": 0.1532062940299511,
+      "num_tokens": 6249083.0,
+      "step": 3430
+    },
+    {
+      "entropy": 5.6627098560333256,
+      "epoch": 2.8458989229494613,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00044833288430113104,
+      "loss": 5.5496,
+      "mean_token_accuracy": 0.1654196172952652,
+      "num_tokens": 6258798.0,
+      "step": 3435
+    },
+    {
+      "entropy": 5.609176588058472,
+      "epoch": 2.8500414250207124,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00044812896081029136,
+      "loss": 5.4023,
+      "mean_token_accuracy": 0.16617698073387147,
+      "num_tokens": 6267819.0,
+      "step": 3440
+    },
+    {
+      "entropy": 5.626215600967408,
+      "epoch": 2.8541839270919636,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004479246880994183,
+      "loss": 5.4804,
+      "mean_token_accuracy": 0.15876610353589057,
+      "num_tokens": 6276915.0,
+      "step": 3445
+    },
+    {
+      "entropy": 5.627827167510986,
+      "epoch": 2.8583264291632147,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004477200665805525,
+      "loss": 5.5216,
+      "mean_token_accuracy": 0.15861138105392455,
+      "num_tokens": 6285880.0,
+      "step": 3450
+    },
+    {
+      "entropy": 5.6323963642120365,
+      "epoch": 2.8624689312344658,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00044751509666643777,
+      "loss": 5.6351,
+      "mean_token_accuracy": 0.14970673844218255,
+      "num_tokens": 6295408.0,
+      "step": 3455
+    },
+    {
+      "entropy": 5.6166990280151365,
+      "epoch": 2.8666114333057164,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044730977877052084,
+      "loss": 5.3753,
+      "mean_token_accuracy": 0.16562075018882752,
+      "num_tokens": 6304110.0,
+      "step": 3460
+    },
+    {
+      "entropy": 5.669659185409546,
+      "epoch": 2.8707539353769675,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00044710411330695045,
+      "loss": 5.5254,
+      "mean_token_accuracy": 0.15842530727386475,
+      "num_tokens": 6312577.0,
+      "step": 3465
+    },
+    {
+      "entropy": 5.738371801376343,
+      "epoch": 2.8748964374482187,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00044689810069057615,
+      "loss": 5.606,
+      "mean_token_accuracy": 0.15023296922445298,
+      "num_tokens": 6321766.0,
+      "step": 3470
+    },
+    {
+      "entropy": 5.642851161956787,
+      "epoch": 2.8790389395194698,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004466917413369479,
+      "loss": 5.5731,
+      "mean_token_accuracy": 0.151870658993721,
+      "num_tokens": 6330327.0,
+      "step": 3475
+    },
+    {
+      "entropy": 5.577242517471314,
+      "epoch": 2.883181441590721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004464850356623152,
+      "loss": 5.4926,
+      "mean_token_accuracy": 0.16011006087064744,
+      "num_tokens": 6339596.0,
+      "step": 3480
+    },
+    {
+      "entropy": 5.613158226013184,
+      "epoch": 2.887323943661972,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00044627798408362597,
+      "loss": 5.3986,
+      "mean_token_accuracy": 0.1670537531375885,
+      "num_tokens": 6348080.0,
+      "step": 3485
+    },
+    {
+      "entropy": 5.613135099411011,
+      "epoch": 2.891466445733223,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004460705870185258,
+      "loss": 5.5277,
+      "mean_token_accuracy": 0.15435466170310974,
+      "num_tokens": 6357725.0,
+      "step": 3490
+    },
+    {
+      "entropy": 5.627930736541748,
+      "epoch": 2.8956089478044738,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004458628448853572,
+      "loss": 5.4831,
+      "mean_token_accuracy": 0.16073092967271804,
+      "num_tokens": 6366821.0,
+      "step": 3495
+    },
+    {
+      "entropy": 5.729347085952758,
+      "epoch": 2.899751449875725,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004456547581031589,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.15560299083590506,
+      "num_tokens": 6375641.0,
+      "step": 3500
+    },
+    {
+      "epoch": 2.899751449875725,
+      "eval_entropy": 5.414937326394673,
+      "eval_loss": 5.899942874908447,
+      "eval_mean_token_accuracy": 0.15183768343569629,
+      "eval_num_tokens": 6375641.0,
+      "eval_runtime": 2.9583,
+      "eval_samples_per_second": 1266.605,
+      "eval_steps_per_second": 158.537,
+      "step": 3500
+    },
+    {
+      "entropy": 5.548971128463745,
+      "epoch": 2.903893951946976,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004454463270916646,
+      "loss": 5.404,
+      "mean_token_accuracy": 0.1680065542459488,
+      "num_tokens": 6384596.0,
+      "step": 3505
+    },
+    {
+      "entropy": 5.719941425323486,
+      "epoch": 2.908036454018227,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004452375522713023,
+      "loss": 5.7474,
+      "mean_token_accuracy": 0.14030246064066887,
+      "num_tokens": 6395048.0,
+      "step": 3510
+    },
+    {
+      "entropy": 5.643452119827271,
+      "epoch": 2.912178956089478,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004450284340631938,
+      "loss": 5.5762,
+      "mean_token_accuracy": 0.15520212948322296,
+      "num_tokens": 6404828.0,
+      "step": 3515
+    },
+    {
+      "entropy": 5.627139854431152,
+      "epoch": 2.916321458160729,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044481897288915334,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.16042221039533616,
+      "num_tokens": 6414670.0,
+      "step": 3520
+    },
+    {
+      "entropy": 5.474701166152954,
+      "epoch": 2.92046396023198,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044460916917168697,
+      "loss": 5.3896,
+      "mean_token_accuracy": 0.16453512459993364,
+      "num_tokens": 6423446.0,
+      "step": 3525
+    },
+    {
+      "entropy": 5.5396312236785885,
+      "epoch": 2.924606462303231,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004443990233339918,
+      "loss": 5.4655,
+      "mean_token_accuracy": 0.1552535504102707,
+      "num_tokens": 6433412.0,
+      "step": 3530
+    },
+    {
+      "entropy": 5.652051544189453,
+      "epoch": 2.928748964374482,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004441885357999548,
+      "loss": 5.444,
+      "mean_token_accuracy": 0.1643453508615494,
+      "num_tokens": 6443520.0,
+      "step": 3535
+    },
+    {
+      "entropy": 5.674185514450073,
+      "epoch": 2.9328914664457333,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004439777069941524,
+      "loss": 5.5527,
+      "mean_token_accuracy": 0.15431721061468123,
+      "num_tokens": 6452933.0,
+      "step": 3540
+    },
+    {
+      "entropy": 5.550513553619385,
+      "epoch": 2.9370339685169844,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044376653734184935,
+      "loss": 5.3908,
+      "mean_token_accuracy": 0.16788479536771775,
+      "num_tokens": 6462113.0,
+      "step": 3545
+    },
+    {
+      "entropy": 5.468146800994873,
+      "epoch": 2.9411764705882355,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004435550272689979,
+      "loss": 5.4246,
+      "mean_token_accuracy": 0.16583772748708725,
+      "num_tokens": 6471411.0,
+      "step": 3550
+    },
+    {
+      "entropy": 5.662385082244873,
+      "epoch": 2.945318972659486,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00044334317720223706,
+      "loss": 5.532,
+      "mean_token_accuracy": 0.1599032275378704,
+      "num_tokens": 6480682.0,
+      "step": 3555
+    },
+    {
+      "entropy": 5.678339672088623,
+      "epoch": 2.9494614747307373,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00044313098756889154,
+      "loss": 5.5754,
+      "mean_token_accuracy": 0.15587076246738435,
+      "num_tokens": 6490614.0,
+      "step": 3560
+    },
+    {
+      "entropy": 5.585533094406128,
+      "epoch": 2.9536039768019884,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004429184587969708,
+      "loss": 5.4273,
+      "mean_token_accuracy": 0.16405707746744155,
+      "num_tokens": 6499079.0,
+      "step": 3565
+    },
+    {
+      "entropy": 5.668995666503906,
+      "epoch": 2.9577464788732395,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004427055913151689,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.14727827310562133,
+      "num_tokens": 6508556.0,
+      "step": 3570
+    },
+    {
+      "entropy": 5.70610499382019,
+      "epoch": 2.9618889809444906,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004424923855528626,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.15901169627904893,
+      "num_tokens": 6517934.0,
+      "step": 3575
+    },
+    {
+      "entropy": 5.614701509475708,
+      "epoch": 2.9660314830157413,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004422788419401114,
+      "loss": 5.4321,
+      "mean_token_accuracy": 0.1702651560306549,
+      "num_tokens": 6526995.0,
+      "step": 3580
+    },
+    {
+      "entropy": 5.572284936904907,
+      "epoch": 2.9701739850869924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00044206496090765595,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1573972523212433,
+      "num_tokens": 6535264.0,
+      "step": 3585
+    },
+    {
+      "entropy": 5.610080623626709,
+      "epoch": 2.9743164871582435,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00044185074288691776,
+      "loss": 5.3994,
+      "mean_token_accuracy": 0.1746336281299591,
+      "num_tokens": 6544498.0,
+      "step": 3590
+    },
+    {
+      "entropy": 5.582769393920898,
+      "epoch": 2.9784589892294946,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044163618830999794,
+      "loss": 5.5098,
+      "mean_token_accuracy": 0.16030704230070114,
+      "num_tokens": 6554761.0,
+      "step": 3595
+    },
+    {
+      "entropy": 5.603819417953491,
+      "epoch": 2.9826014913007457,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044142129760967643,
+      "loss": 5.5614,
+      "mean_token_accuracy": 0.15714355707168579,
+      "num_tokens": 6564039.0,
+      "step": 3600
+    },
+    {
+      "entropy": 5.679829835891724,
+      "epoch": 2.986743993371997,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004412060712194115,
+      "loss": 5.5068,
+      "mean_token_accuracy": 0.15993095487356185,
+      "num_tokens": 6572559.0,
+      "step": 3605
+    },
+    {
+      "entropy": 5.589264869689941,
+      "epoch": 2.990886495443248,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004409905095733381,
+      "loss": 5.4931,
+      "mean_token_accuracy": 0.1612076446413994,
+      "num_tokens": 6581621.0,
+      "step": 3610
+    },
+    {
+      "entropy": 5.550649166107178,
+      "epoch": 2.995028997514499,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00044077461310626764,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.15403861105442046,
+      "num_tokens": 6590353.0,
+      "step": 3615
+    },
+    {
+      "entropy": 5.64892258644104,
+      "epoch": 2.9991714995857497,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000440558382253687,
+      "loss": 5.4575,
+      "mean_token_accuracy": 0.16497674435377122,
+      "num_tokens": 6598822.0,
+      "step": 3620
+    },
+    {
+      "entropy": 5.5967165470123295,
+      "epoch": 3.003314001657001,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004403418174517573,
+      "loss": 5.2529,
+      "mean_token_accuracy": 0.16683556884527206,
+      "num_tokens": 6606728.0,
+      "step": 3625
+    },
+    {
+      "entropy": 5.599476623535156,
+      "epoch": 3.007456503728252,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044012491913731353,
+      "loss": 5.1756,
+      "mean_token_accuracy": 0.1743481546640396,
+      "num_tokens": 6616226.0,
+      "step": 3630
+    },
+    {
+      "entropy": 5.5095573425292965,
+      "epoch": 3.011599005799503,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004399076877478632,
+      "loss": 5.0266,
+      "mean_token_accuracy": 0.1868550017476082,
+      "num_tokens": 6624801.0,
+      "step": 3635
+    },
+    {
+      "entropy": 5.60879430770874,
+      "epoch": 3.015741507870754,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004396901237215858,
+      "loss": 5.2209,
+      "mean_token_accuracy": 0.16688485741615294,
+      "num_tokens": 6633043.0,
+      "step": 3640
+    },
+    {
+      "entropy": 5.538025426864624,
+      "epoch": 3.019884009942005,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043947222749733173,
+      "loss": 5.1692,
+      "mean_token_accuracy": 0.17499702274799347,
+      "num_tokens": 6641197.0,
+      "step": 3645
+    },
+    {
+      "entropy": 5.586767101287842,
+      "epoch": 3.024026512013256,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043925399951462153,
+      "loss": 5.2064,
+      "mean_token_accuracy": 0.1801098555326462,
+      "num_tokens": 6650411.0,
+      "step": 3650
+    },
+    {
+      "entropy": 5.4191618919372555,
+      "epoch": 3.028169014084507,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004390354402136449,
+      "loss": 5.0903,
+      "mean_token_accuracy": 0.17804521024227143,
+      "num_tokens": 6659405.0,
+      "step": 3655
+    },
+    {
+      "entropy": 5.583788824081421,
+      "epoch": 3.032311516155758,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0004388165500352597,
+      "loss": 5.1642,
+      "mean_token_accuracy": 0.17557908743619918,
+      "num_tokens": 6667701.0,
+      "step": 3660
+    },
+    {
+      "entropy": 5.614604902267456,
+      "epoch": 3.036454018227009,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004385973294209915,
+      "loss": 5.1881,
+      "mean_token_accuracy": 0.17808027267456056,
+      "num_tokens": 6676801.0,
+      "step": 3665
+    },
+    {
+      "entropy": 5.457578706741333,
+      "epoch": 3.0405965202982603,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004383777788130321,
+      "loss": 5.083,
+      "mean_token_accuracy": 0.17836775481700898,
+      "num_tokens": 6686005.0,
+      "step": 3670
+    },
+    {
+      "entropy": 5.479088068008423,
+      "epoch": 3.044739022369511,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004381578986542393,
+      "loss": 5.0937,
+      "mean_token_accuracy": 0.17960153371095658,
+      "num_tokens": 6694884.0,
+      "step": 3675
+    },
+    {
+      "entropy": 5.501745700836182,
+      "epoch": 3.048881524440762,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004379376893881352,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.17827630788087845,
+      "num_tokens": 6703476.0,
+      "step": 3680
+    },
+    {
+      "entropy": 5.616245269775391,
+      "epoch": 3.053024026512013,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004377171514589059,
+      "loss": 5.2531,
+      "mean_token_accuracy": 0.1736731931567192,
+      "num_tokens": 6712576.0,
+      "step": 3685
+    },
+    {
+      "entropy": 5.398316955566406,
+      "epoch": 3.0571665285832643,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004374962853114007,
+      "loss": 5.0545,
+      "mean_token_accuracy": 0.18062082678079605,
+      "num_tokens": 6721532.0,
+      "step": 3690
+    },
+    {
+      "entropy": 5.480774354934693,
+      "epoch": 3.0613090306545154,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004372750913911306,
+      "loss": 5.1028,
+      "mean_token_accuracy": 0.18300070911645888,
+      "num_tokens": 6730055.0,
+      "step": 3695
+    },
+    {
+      "entropy": 5.446919918060303,
+      "epoch": 3.0654515327257665,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004370535701442679,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.17969694286584853,
+      "num_tokens": 6739310.0,
+      "step": 3700
+    },
+    {
+      "entropy": 5.54828953742981,
+      "epoch": 3.069594034797017,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043683172201764537,
+      "loss": 5.2581,
+      "mean_token_accuracy": 0.16716694980859756,
+      "num_tokens": 6748976.0,
+      "step": 3705
+    },
+    {
+      "entropy": 5.539231872558593,
+      "epoch": 3.0737365368682683,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004366095474587547,
+      "loss": 5.1044,
+      "mean_token_accuracy": 0.17598106861114501,
+      "num_tokens": 6758043.0,
+      "step": 3710
+    },
+    {
+      "entropy": 5.500854778289795,
+      "epoch": 3.0778790389395194,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00043638704691574646,
+      "loss": 5.163,
+      "mean_token_accuracy": 0.1786232903599739,
+      "num_tokens": 6767554.0,
+      "step": 3715
+    },
+    {
+      "entropy": 5.560473966598511,
+      "epoch": 3.0820215410107705,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004361642208374283,
+      "loss": 5.1882,
+      "mean_token_accuracy": 0.1666739672422409,
+      "num_tokens": 6776161.0,
+      "step": 3720
+    },
+    {
+      "entropy": 5.476630401611328,
+      "epoch": 3.0861640430820216,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043594106967326495,
+      "loss": 5.1169,
+      "mean_token_accuracy": 0.17555084377527236,
+      "num_tokens": 6785371.0,
+      "step": 3725
+    },
+    {
+      "entropy": 5.494755983352661,
+      "epoch": 3.0903065451532727,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00043571759387337665,
+      "loss": 5.1456,
+      "mean_token_accuracy": 0.1808715656399727,
+      "num_tokens": 6795242.0,
+      "step": 3730
+    },
+    {
+      "entropy": 5.591760492324829,
+      "epoch": 3.0944490472245234,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004354937938885385,
+      "loss": 5.2235,
+      "mean_token_accuracy": 0.17338325083255768,
+      "num_tokens": 6805423.0,
+      "step": 3735
+    },
+    {
+      "entropy": 5.464981889724731,
+      "epoch": 3.0985915492957745,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004352696701701796,
+      "loss": 5.1469,
+      "mean_token_accuracy": 0.17880967408418655,
+      "num_tokens": 6814377.0,
+      "step": 3740
+    },
+    {
+      "entropy": 5.448660278320313,
+      "epoch": 3.1027340513670256,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004350452231703819,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.18132367432117463,
+      "num_tokens": 6824025.0,
+      "step": 3745
+    },
+    {
+      "entropy": 5.550149536132812,
+      "epoch": 3.1068765534382767,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043482045334187954,
+      "loss": 5.1273,
+      "mean_token_accuracy": 0.18649032860994338,
+      "num_tokens": 6833071.0,
+      "step": 3750
+    },
+    {
+      "entropy": 5.442513799667358,
+      "epoch": 3.111019055509528,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043459536113805785,
+      "loss": 5.1076,
+      "mean_token_accuracy": 0.17443138360977173,
+      "num_tokens": 6841983.0,
+      "step": 3755
+    },
+    {
+      "entropy": 5.447629022598266,
+      "epoch": 3.115161557580779,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00043436994701295237,
+      "loss": 5.1043,
+      "mean_token_accuracy": 0.17914267033338546,
+      "num_tokens": 6851436.0,
+      "step": 3760
+    },
+    {
+      "entropy": 5.461205101013183,
+      "epoch": 3.1193040596520296,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00043414421142124804,
+      "loss": 5.1836,
+      "mean_token_accuracy": 0.1672696813941002,
+      "num_tokens": 6861810.0,
+      "step": 3765
+    },
+    {
+      "entropy": 5.478553342819214,
+      "epoch": 3.1234465617232807,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00043391815481827814,
+      "loss": 5.0639,
+      "mean_token_accuracy": 0.18850475996732713,
+      "num_tokens": 6870418.0,
+      "step": 3770
+    },
+    {
+      "entropy": 5.41155161857605,
+      "epoch": 3.127589063794532,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004336917776600237,
+      "loss": 5.0683,
+      "mean_token_accuracy": 0.18221812546253205,
+      "num_tokens": 6879419.0,
+      "step": 3775
+    },
+    {
+      "entropy": 5.435874891281128,
+      "epoch": 3.131731565865783,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004334650804031122,
+      "loss": 5.1852,
+      "mean_token_accuracy": 0.17172302156686783,
+      "num_tokens": 6888768.0,
+      "step": 3780
+    },
+    {
+      "entropy": 5.507850646972656,
+      "epoch": 3.135874067937034,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004332380635048165,
+      "loss": 5.1296,
+      "mean_token_accuracy": 0.17900288552045823,
+      "num_tokens": 6897133.0,
+      "step": 3785
+    },
+    {
+      "entropy": 5.485491752624512,
+      "epoch": 3.140016570008285,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00043301072742305474,
+      "loss": 5.1773,
+      "mean_token_accuracy": 0.17168077528476716,
+      "num_tokens": 6904976.0,
+      "step": 3790
+    },
+    {
+      "entropy": 5.537312364578247,
+      "epoch": 3.1441590720795363,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0004327830726163886,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.17883574068546296,
+      "num_tokens": 6915138.0,
+      "step": 3795
+    },
+    {
+      "entropy": 5.548703718185425,
+      "epoch": 3.148301574150787,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0004325550995440226,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.1752033144235611,
+      "num_tokens": 6923962.0,
+      "step": 3800
+    },
+    {
+      "entropy": 5.386642169952393,
+      "epoch": 3.152444076222038,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043232680866580356,
+      "loss": 5.1478,
+      "mean_token_accuracy": 0.17952724993228913,
+      "num_tokens": 6932102.0,
+      "step": 3805
+    },
+    {
+      "entropy": 5.464086627960205,
+      "epoch": 3.156586578293289,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00043209820044221893,
+      "loss": 5.153,
+      "mean_token_accuracy": 0.1785269558429718,
+      "num_tokens": 6940354.0,
+      "step": 3810
+    },
+    {
+      "entropy": 5.4963922023773195,
+      "epoch": 3.1607290803645403,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00043186927533439654,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.1716633692383766,
+      "num_tokens": 6949779.0,
+      "step": 3815
+    },
+    {
+      "entropy": 5.536400413513183,
+      "epoch": 3.1648715824357914,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043164003380410335,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.17445194274187087,
+      "num_tokens": 6958760.0,
+      "step": 3820
+    },
+    {
+      "entropy": 5.486375331878662,
+      "epoch": 3.169014084507042,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004314104763137445,
+      "loss": 5.1037,
+      "mean_token_accuracy": 0.18134674280881882,
+      "num_tokens": 6967535.0,
+      "step": 3825
+    },
+    {
+      "entropy": 5.469356393814087,
+      "epoch": 3.173156586578293,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043118060332636264,
+      "loss": 5.2036,
+      "mean_token_accuracy": 0.17774708271026612,
+      "num_tokens": 6976211.0,
+      "step": 3830
+    },
+    {
+      "entropy": 5.576221227645874,
+      "epoch": 3.1772990886495442,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043095041530563665,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.17325948774814606,
+      "num_tokens": 6986001.0,
+      "step": 3835
+    },
+    {
+      "entropy": 5.420689487457276,
+      "epoch": 3.1814415907207954,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00043071991271588104,
+      "loss": 5.2006,
+      "mean_token_accuracy": 0.18302187621593474,
+      "num_tokens": 6994568.0,
+      "step": 3840
+    },
+    {
+      "entropy": 5.52434401512146,
+      "epoch": 3.1855840927920465,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004304890960220446,
+      "loss": 5.2921,
+      "mean_token_accuracy": 0.16869494169950486,
+      "num_tokens": 7004744.0,
+      "step": 3845
+    },
+    {
+      "entropy": 5.520354557037353,
+      "epoch": 3.1897265948632976,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043025796568970975,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.1696591019630432,
+      "num_tokens": 7014315.0,
+      "step": 3850
+    },
+    {
+      "entropy": 5.523347425460815,
+      "epoch": 3.1938690969345487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043002652218509184,
+      "loss": 5.1172,
+      "mean_token_accuracy": 0.18450311720371246,
+      "num_tokens": 7022258.0,
+      "step": 3855
+    },
+    {
+      "entropy": 5.522213459014893,
+      "epoch": 3.1980115990057993,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004297947659750376,
+      "loss": 5.2587,
+      "mean_token_accuracy": 0.1674624815583229,
+      "num_tokens": 7031732.0,
+      "step": 3860
+    },
+    {
+      "entropy": 5.467557621002197,
+      "epoch": 3.2021541010770505,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004295626975270246,
+      "loss": 5.1818,
+      "mean_token_accuracy": 0.1766605108976364,
+      "num_tokens": 7040478.0,
+      "step": 3865
+    },
+    {
+      "entropy": 5.490935039520264,
+      "epoch": 3.2062966031483016,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00042933031730916024,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.18396904766559602,
+      "num_tokens": 7049360.0,
+      "step": 3870
+    },
+    {
+      "entropy": 5.5688018798828125,
+      "epoch": 3.2104391052195527,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000429097625790181,
+      "loss": 5.2267,
+      "mean_token_accuracy": 0.17498258501291275,
+      "num_tokens": 7059271.0,
+      "step": 3875
+    },
+    {
+      "entropy": 5.398471450805664,
+      "epoch": 3.2145816072908038,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004288646234394508,
+      "loss": 5.2177,
+      "mean_token_accuracy": 0.17296054661273957,
+      "num_tokens": 7069038.0,
+      "step": 3880
+    },
+    {
+      "entropy": 5.5407984256744385,
+      "epoch": 3.218724109362055,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00042863131072696115,
+      "loss": 5.1617,
+      "mean_token_accuracy": 0.17704827934503556,
+      "num_tokens": 7077971.0,
+      "step": 3885
+    },
+    {
+      "entropy": 5.4559561252594,
+      "epoch": 3.2228666114333056,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00042839768812332905,
+      "loss": 5.1612,
+      "mean_token_accuracy": 0.17406544089317322,
+      "num_tokens": 7086821.0,
+      "step": 3890
+    },
+    {
+      "entropy": 5.419722366333008,
+      "epoch": 3.2270091135045567,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000428163756099797,
+      "loss": 5.1859,
+      "mean_token_accuracy": 0.17225482910871506,
+      "num_tokens": 7095407.0,
+      "step": 3895
+    },
+    {
+      "entropy": 5.48249921798706,
+      "epoch": 3.2311516155758078,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004279295151282314,
+      "loss": 5.1116,
+      "mean_token_accuracy": 0.18240531533956528,
+      "num_tokens": 7103964.0,
+      "step": 3900
+    },
+    {
+      "entropy": 5.564240264892578,
+      "epoch": 3.235294117647059,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004276949656811217,
+      "loss": 5.251,
+      "mean_token_accuracy": 0.17079487890005113,
+      "num_tokens": 7113571.0,
+      "step": 3905
+    },
+    {
+      "entropy": 5.522033739089966,
+      "epoch": 3.23943661971831,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00042746010823158006,
+      "loss": 5.2738,
+      "mean_token_accuracy": 0.17067040055990218,
+      "num_tokens": 7122844.0,
+      "step": 3910
+    },
+    {
+      "entropy": 5.4324219703674315,
+      "epoch": 3.243579121789561,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042722494325333945,
+      "loss": 5.1326,
+      "mean_token_accuracy": 0.176889306306839,
+      "num_tokens": 7132123.0,
+      "step": 3915
+    },
+    {
+      "entropy": 5.458636379241943,
+      "epoch": 3.2477216238608118,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004269894712207533,
+      "loss": 5.1819,
+      "mean_token_accuracy": 0.18051923513412477,
+      "num_tokens": 7141068.0,
+      "step": 3920
+    },
+    {
+      "entropy": 5.43212571144104,
+      "epoch": 3.251864125932063,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004267536926087947,
+      "loss": 5.1925,
+      "mean_token_accuracy": 0.1708641156554222,
+      "num_tokens": 7150829.0,
+      "step": 3925
+    },
+    {
+      "entropy": 5.458031702041626,
+      "epoch": 3.256006628003314,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004265176078930545,
+      "loss": 5.1703,
+      "mean_token_accuracy": 0.17345706522464752,
+      "num_tokens": 7160814.0,
+      "step": 3930
+    },
+    {
+      "entropy": 5.498150825500488,
+      "epoch": 3.260149130074565,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00042628121754974166,
+      "loss": 5.2634,
+      "mean_token_accuracy": 0.17203340232372283,
+      "num_tokens": 7170085.0,
+      "step": 3935
+    },
+    {
+      "entropy": 5.590339422225952,
+      "epoch": 3.264291632145816,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004260445220556811,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.1736685037612915,
+      "num_tokens": 7179366.0,
+      "step": 3940
+    },
+    {
+      "entropy": 5.52174072265625,
+      "epoch": 3.2684341342170673,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00042580752188831376,
+      "loss": 5.2819,
+      "mean_token_accuracy": 0.17067586481571198,
+      "num_tokens": 7188342.0,
+      "step": 3945
+    },
+    {
+      "entropy": 5.556540441513062,
+      "epoch": 3.272576636288318,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004255702175256946,
+      "loss": 5.3095,
+      "mean_token_accuracy": 0.17531315684318544,
+      "num_tokens": 7197466.0,
+      "step": 3950
+    },
+    {
+      "entropy": 5.42687840461731,
+      "epoch": 3.276719138359569,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00042533260944649273,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17852312475442886,
+      "num_tokens": 7205462.0,
+      "step": 3955
+    },
+    {
+      "entropy": 5.424286890029907,
+      "epoch": 3.28086164043082,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004250946981299893,
+      "loss": 5.1838,
+      "mean_token_accuracy": 0.17682615667581558,
+      "num_tokens": 7215115.0,
+      "step": 3960
+    },
+    {
+      "entropy": 5.459038209915161,
+      "epoch": 3.2850041425020713,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00042485648405607776,
+      "loss": 5.1379,
+      "mean_token_accuracy": 0.17029522657394408,
+      "num_tokens": 7224909.0,
+      "step": 3965
+    },
+    {
+      "entropy": 5.392039203643799,
+      "epoch": 3.2891466445733224,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004246179677052617,
+      "loss": 5.0642,
+      "mean_token_accuracy": 0.18698266595602037,
+      "num_tokens": 7232946.0,
+      "step": 3970
+    },
+    {
+      "entropy": 5.362467432022095,
+      "epoch": 3.2932891466445735,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004243791495586547,
+      "loss": 5.1736,
+      "mean_token_accuracy": 0.17996304631233215,
+      "num_tokens": 7241104.0,
+      "step": 3975
+    },
+    {
+      "entropy": 5.567073392868042,
+      "epoch": 3.297431648715824,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004241400300979791,
+      "loss": 5.2257,
+      "mean_token_accuracy": 0.1786801502108574,
+      "num_tokens": 7250749.0,
+      "step": 3980
+    },
+    {
+      "entropy": 5.447740983963013,
+      "epoch": 3.3015741507870753,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004239006098055651,
+      "loss": 5.124,
+      "mean_token_accuracy": 0.1787547677755356,
+      "num_tokens": 7258687.0,
+      "step": 3985
+    },
+    {
+      "entropy": 5.41381049156189,
+      "epoch": 3.3057166528583264,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004236608891643494,
+      "loss": 5.1572,
+      "mean_token_accuracy": 0.17702401280403138,
+      "num_tokens": 7267316.0,
+      "step": 3990
+    },
+    {
+      "entropy": 5.448715782165527,
+      "epoch": 3.3098591549295775,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004234208686578748,
+      "loss": 5.1777,
+      "mean_token_accuracy": 0.17505329996347427,
+      "num_tokens": 7276734.0,
+      "step": 3995
+    },
+    {
+      "entropy": 5.440592193603516,
+      "epoch": 3.3140016570008286,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00042318054877028876,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17840310037136078,
+      "num_tokens": 7285916.0,
+      "step": 4000
+    },
+    {
+      "epoch": 3.3140016570008286,
+      "eval_entropy": 5.363256025416002,
+      "eval_loss": 5.893955707550049,
+      "eval_mean_token_accuracy": 0.15349840453819935,
+      "eval_num_tokens": 7285916.0,
+      "eval_runtime": 2.7471,
+      "eval_samples_per_second": 1363.961,
+      "eval_steps_per_second": 170.723,
+      "step": 4000
+    },
+    {
+      "entropy": 5.487448406219483,
+      "epoch": 3.3181441590720797,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042293992998634314,
+      "loss": 5.1667,
+      "mean_token_accuracy": 0.17779863625764847,
+      "num_tokens": 7294184.0,
+      "step": 4005
+    },
+    {
+      "entropy": 5.414953899383545,
+      "epoch": 3.3222866611433304,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004226990127913918,
+      "loss": 5.177,
+      "mean_token_accuracy": 0.1768763244152069,
+      "num_tokens": 7302647.0,
+      "step": 4010
+    },
+    {
+      "entropy": 5.442982530593872,
+      "epoch": 3.3264291632145815,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004224577976713915,
+      "loss": 5.2506,
+      "mean_token_accuracy": 0.16832198798656464,
+      "num_tokens": 7311455.0,
+      "step": 4015
+    },
+    {
+      "entropy": 5.609448575973511,
+      "epoch": 3.3305716652858326,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00042221628511289927,
+      "loss": 5.3136,
+      "mean_token_accuracy": 0.16625809520483018,
+      "num_tokens": 7320978.0,
+      "step": 4020
+    },
+    {
+      "entropy": 5.612923622131348,
+      "epoch": 3.3347141673570837,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004219744756030723,
+      "loss": 5.3273,
+      "mean_token_accuracy": 0.16872513592243193,
+      "num_tokens": 7330202.0,
+      "step": 4025
+    },
+    {
+      "entropy": 5.4015247344970705,
+      "epoch": 3.338856669428335,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00042173236962966706,
+      "loss": 5.1649,
+      "mean_token_accuracy": 0.17969190180301667,
+      "num_tokens": 7339121.0,
+      "step": 4030
+    },
+    {
+      "entropy": 5.492907905578614,
+      "epoch": 3.342999171499586,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004214899676810375,
+      "loss": 5.2251,
+      "mean_token_accuracy": 0.1665240079164505,
+      "num_tokens": 7348631.0,
+      "step": 4035
+    },
+    {
+      "entropy": 5.469464063644409,
+      "epoch": 3.347141673570837,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004212472702461348,
+      "loss": 5.1843,
+      "mean_token_accuracy": 0.1820875510573387,
+      "num_tokens": 7358354.0,
+      "step": 4040
+    },
+    {
+      "entropy": 5.454071807861328,
+      "epoch": 3.3512841756420877,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004210042778145064,
+      "loss": 5.2038,
+      "mean_token_accuracy": 0.17285584658384323,
+      "num_tokens": 7367031.0,
+      "step": 4045
+    },
+    {
+      "entropy": 5.436822319030762,
+      "epoch": 3.355426677713339,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00042076099087629443,
+      "loss": 5.2025,
+      "mean_token_accuracy": 0.1784903883934021,
+      "num_tokens": 7375996.0,
+      "step": 4050
+    },
+    {
+      "entropy": 5.552537536621093,
+      "epoch": 3.35956917978459,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00042051740992223534,
+      "loss": 5.2567,
+      "mean_token_accuracy": 0.16439318358898164,
+      "num_tokens": 7385355.0,
+      "step": 4055
+    },
+    {
+      "entropy": 5.402252960205078,
+      "epoch": 3.363711681855841,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004202735354436586,
+      "loss": 5.0999,
+      "mean_token_accuracy": 0.1792566418647766,
+      "num_tokens": 7394384.0,
+      "step": 4060
+    },
+    {
+      "entropy": 5.511481237411499,
+      "epoch": 3.367854183927092,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00042002936793248546,
+      "loss": 5.2458,
+      "mean_token_accuracy": 0.1770971804857254,
+      "num_tokens": 7403141.0,
+      "step": 4065
+    },
+    {
+      "entropy": 5.508409786224365,
+      "epoch": 3.371996685998343,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004197849078812286,
+      "loss": 5.199,
+      "mean_token_accuracy": 0.1739865079522133,
+      "num_tokens": 7413331.0,
+      "step": 4070
+    },
+    {
+      "entropy": 5.471702003479004,
+      "epoch": 3.376139188069594,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004195401557829907,
+      "loss": 5.2368,
+      "mean_token_accuracy": 0.17052597552537918,
+      "num_tokens": 7422362.0,
+      "step": 4075
+    },
+    {
+      "entropy": 5.4563977241516115,
+      "epoch": 3.380281690140845,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041929511213146343,
+      "loss": 5.1661,
+      "mean_token_accuracy": 0.18033864200115204,
+      "num_tokens": 7431350.0,
+      "step": 4080
+    },
+    {
+      "entropy": 5.4815953254699705,
+      "epoch": 3.384424192212096,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004190497774209266,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.1800685152411461,
+      "num_tokens": 7440382.0,
+      "step": 4085
+    },
+    {
+      "entropy": 5.51438536643982,
+      "epoch": 3.3885666942833472,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00041880415214624715,
+      "loss": 5.2355,
+      "mean_token_accuracy": 0.17847414761781694,
+      "num_tokens": 7449357.0,
+      "step": 4090
+    },
+    {
+      "entropy": 5.463125705718994,
+      "epoch": 3.3927091963545983,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004185582368028781,
+      "loss": 5.1468,
+      "mean_token_accuracy": 0.1853232800960541,
+      "num_tokens": 7457544.0,
+      "step": 4095
+    },
+    {
+      "entropy": 5.409591102600098,
+      "epoch": 3.3968516984258494,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004183120318868577,
+      "loss": 5.1616,
+      "mean_token_accuracy": 0.18774343580007552,
+      "num_tokens": 7465915.0,
+      "step": 4100
+    },
+    {
+      "entropy": 5.435869741439819,
+      "epoch": 3.4009942004971,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00041806553789480787,
+      "loss": 5.1161,
+      "mean_token_accuracy": 0.1833360970020294,
+      "num_tokens": 7474551.0,
+      "step": 4105
+    },
+    {
+      "entropy": 5.507905626296997,
+      "epoch": 3.405136702568351,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00041781875532393423,
+      "loss": 5.2287,
+      "mean_token_accuracy": 0.17473389357328414,
+      "num_tokens": 7483271.0,
+      "step": 4110
+    },
+    {
+      "entropy": 5.474280261993409,
+      "epoch": 3.4092792046396023,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00041757168467202404,
+      "loss": 5.2371,
+      "mean_token_accuracy": 0.17051266878843307,
+      "num_tokens": 7493179.0,
+      "step": 4115
+    },
+    {
+      "entropy": 5.47375521659851,
+      "epoch": 3.4134217067108534,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00041732432643744576,
+      "loss": 5.2132,
+      "mean_token_accuracy": 0.17562344074249267,
+      "num_tokens": 7501858.0,
+      "step": 4120
+    },
+    {
+      "entropy": 5.562008953094482,
+      "epoch": 3.4175642087821045,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004170766811191481,
+      "loss": 5.282,
+      "mean_token_accuracy": 0.16895801872014998,
+      "num_tokens": 7511817.0,
+      "step": 4125
+    },
+    {
+      "entropy": 5.3949895858764645,
+      "epoch": 3.421706710853355,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.0004168287492166587,
+      "loss": 5.2513,
+      "mean_token_accuracy": 0.175115604698658,
+      "num_tokens": 7521655.0,
+      "step": 4130
+    },
+    {
+      "entropy": 5.478516006469727,
+      "epoch": 3.4258492129246063,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041658053123008325,
+      "loss": 5.2289,
+      "mean_token_accuracy": 0.17174260020256044,
+      "num_tokens": 7531321.0,
+      "step": 4135
+    },
+    {
+      "entropy": 5.469200515747071,
+      "epoch": 3.4299917149958574,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004163320276601046,
+      "loss": 5.2104,
+      "mean_token_accuracy": 0.17538849860429764,
+      "num_tokens": 7540613.0,
+      "step": 4140
+    },
+    {
+      "entropy": 5.478423690795898,
+      "epoch": 3.4341342170671085,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004160832390079816,
+      "loss": 5.2823,
+      "mean_token_accuracy": 0.17514234632253647,
+      "num_tokens": 7549598.0,
+      "step": 4145
+    },
+    {
+      "entropy": 5.449503993988037,
+      "epoch": 3.4382767191383596,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00041583416577554815,
+      "loss": 5.1509,
+      "mean_token_accuracy": 0.18169643133878707,
+      "num_tokens": 7558738.0,
+      "step": 4150
+    },
+    {
+      "entropy": 5.454873323440552,
+      "epoch": 3.4424192212096107,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041558480846521213,
+      "loss": 5.1996,
+      "mean_token_accuracy": 0.17627429366111755,
+      "num_tokens": 7566873.0,
+      "step": 4155
+    },
+    {
+      "entropy": 5.413073778152466,
+      "epoch": 3.446561723280862,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041533516757995455,
+      "loss": 5.18,
+      "mean_token_accuracy": 0.1794169783592224,
+      "num_tokens": 7576645.0,
+      "step": 4160
+    },
+    {
+      "entropy": 5.449489498138428,
+      "epoch": 3.4507042253521125,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004150852436233283,
+      "loss": 5.1844,
+      "mean_token_accuracy": 0.17338148206472398,
+      "num_tokens": 7584854.0,
+      "step": 4165
+    },
+    {
+      "entropy": 5.500524044036865,
+      "epoch": 3.4548467274233636,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004148350370994574,
+      "loss": 5.3142,
+      "mean_token_accuracy": 0.16781232208013536,
+      "num_tokens": 7594022.0,
+      "step": 4170
+    },
+    {
+      "entropy": 5.458495187759399,
+      "epoch": 3.4589892294946147,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004145845485130357,
+      "loss": 5.1757,
+      "mean_token_accuracy": 0.17461147904396057,
+      "num_tokens": 7603259.0,
+      "step": 4175
+    },
+    {
+      "entropy": 5.453242301940918,
+      "epoch": 3.463131731565866,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00041433377836932594,
+      "loss": 5.2853,
+      "mean_token_accuracy": 0.1680028423666954,
+      "num_tokens": 7613451.0,
+      "step": 4180
+    },
+    {
+      "entropy": 5.533868455886841,
+      "epoch": 3.467274233637117,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00041408272717415913,
+      "loss": 5.245,
+      "mean_token_accuracy": 0.17225596755743028,
+      "num_tokens": 7622218.0,
+      "step": 4185
+    },
+    {
+      "entropy": 5.351213121414185,
+      "epoch": 3.4714167357083676,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004138313954339327,
+      "loss": 5.104,
+      "mean_token_accuracy": 0.17463669180870056,
+      "num_tokens": 7630508.0,
+      "step": 4190
+    },
+    {
+      "entropy": 5.488496780395508,
+      "epoch": 3.4755592377796187,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004135797836556106,
+      "loss": 5.1982,
+      "mean_token_accuracy": 0.181541608273983,
+      "num_tokens": 7640141.0,
+      "step": 4195
+    },
+    {
+      "entropy": 5.459699392318726,
+      "epoch": 3.47970173985087,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041332789234672094,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1721531167626381,
+      "num_tokens": 7648764.0,
+      "step": 4200
+    },
+    {
+      "entropy": 5.406872129440307,
+      "epoch": 3.483844241922121,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004130757220153561,
+      "loss": 5.1952,
+      "mean_token_accuracy": 0.18173792064189911,
+      "num_tokens": 7658642.0,
+      "step": 4205
+    },
+    {
+      "entropy": 5.544135618209839,
+      "epoch": 3.487986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004128232731701712,
+      "loss": 5.377,
+      "mean_token_accuracy": 0.16519460082054138,
+      "num_tokens": 7667524.0,
+      "step": 4210
+    },
+    {
+      "entropy": 5.488169002532959,
+      "epoch": 3.492129246064623,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004125705463203833,
+      "loss": 5.1928,
+      "mean_token_accuracy": 0.18297115415334703,
+      "num_tokens": 7675800.0,
+      "step": 4215
+    },
+    {
+      "entropy": 5.490040969848633,
+      "epoch": 3.4962717481358743,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041231754197576986,
+      "loss": 5.2252,
+      "mean_token_accuracy": 0.1757526621222496,
+      "num_tokens": 7683742.0,
+      "step": 4220
+    },
+    {
+      "entropy": 5.468280076980591,
+      "epoch": 3.5004142502071254,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004120642606466685,
+      "loss": 5.2278,
+      "mean_token_accuracy": 0.1796238511800766,
+      "num_tokens": 7692379.0,
+      "step": 4225
+    },
+    {
+      "entropy": 5.494374942779541,
+      "epoch": 3.504556752278376,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004118107028439751,
+      "loss": 5.2138,
+      "mean_token_accuracy": 0.17588699012994766,
+      "num_tokens": 7702156.0,
+      "step": 4230
+    },
+    {
+      "entropy": 5.467664003372192,
+      "epoch": 3.508699254349627,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00041155686907914365,
+      "loss": 5.2275,
+      "mean_token_accuracy": 0.1754150867462158,
+      "num_tokens": 7712135.0,
+      "step": 4235
+    },
+    {
+      "entropy": 5.451332426071167,
+      "epoch": 3.5128417564208783,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004113027598641845,
+      "loss": 5.1785,
+      "mean_token_accuracy": 0.1752738744020462,
+      "num_tokens": 7721347.0,
+      "step": 4240
+    },
+    {
+      "entropy": 5.471200275421142,
+      "epoch": 3.5169842584921294,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004110483757116637,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.1789921909570694,
+      "num_tokens": 7731351.0,
+      "step": 4245
+    },
+    {
+      "entropy": 5.433224248886108,
+      "epoch": 3.52112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00041079371713470195,
+      "loss": 5.0996,
+      "mean_token_accuracy": 0.18778069019317628,
+      "num_tokens": 7740413.0,
+      "step": 4250
+    },
+    {
+      "entropy": 5.416608476638794,
+      "epoch": 3.525269262634631,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041053878464697343,
+      "loss": 5.1977,
+      "mean_token_accuracy": 0.18009850829839708,
+      "num_tokens": 7749319.0,
+      "step": 4255
+    },
+    {
+      "entropy": 5.519042015075684,
+      "epoch": 3.5294117647058822,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004102835787627047,
+      "loss": 5.2446,
+      "mean_token_accuracy": 0.17312991321086885,
+      "num_tokens": 7757936.0,
+      "step": 4260
+    },
+    {
+      "entropy": 5.542943048477173,
+      "epoch": 3.5335542667771334,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004100280999966741,
+      "loss": 5.3083,
+      "mean_token_accuracy": 0.17331433892250062,
+      "num_tokens": 7767349.0,
+      "step": 4265
+    },
+    {
+      "entropy": 5.4042651653289795,
+      "epoch": 3.5376967688483845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00040977234886421007,
+      "loss": 5.1133,
+      "mean_token_accuracy": 0.17731781899929047,
+      "num_tokens": 7776448.0,
+      "step": 4270
+    },
+    {
+      "entropy": 5.4222177028656,
+      "epoch": 3.5418392709196356,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040951632588119064,
+      "loss": 5.209,
+      "mean_token_accuracy": 0.17401482313871383,
+      "num_tokens": 7785768.0,
+      "step": 4275
+    },
+    {
+      "entropy": 5.600345802307129,
+      "epoch": 3.5459817729908867,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004092600315640422,
+      "loss": 5.2999,
+      "mean_token_accuracy": 0.1715576618909836,
+      "num_tokens": 7794803.0,
+      "step": 4280
+    },
+    {
+      "entropy": 5.411063814163208,
+      "epoch": 3.550124275062138,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004090034664297382,
+      "loss": 5.157,
+      "mean_token_accuracy": 0.17963247746229172,
+      "num_tokens": 7803533.0,
+      "step": 4285
+    },
+    {
+      "entropy": 5.421855831146241,
+      "epoch": 3.5542667771333885,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00040874663099579883,
+      "loss": 5.2246,
+      "mean_token_accuracy": 0.1706953912973404,
+      "num_tokens": 7812854.0,
+      "step": 4290
+    },
+    {
+      "entropy": 5.49954047203064,
+      "epoch": 3.5584092792046396,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040848952578028915,
+      "loss": 5.1628,
+      "mean_token_accuracy": 0.174958436191082,
+      "num_tokens": 7821683.0,
+      "step": 4295
+    },
+    {
+      "entropy": 5.501424264907837,
+      "epoch": 3.5625517812758907,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004082321513018183,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.18335361480712892,
+      "num_tokens": 7830967.0,
+      "step": 4300
+    },
+    {
+      "entropy": 5.48747296333313,
+      "epoch": 3.566694283347142,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00040797450807953897,
+      "loss": 5.2159,
+      "mean_token_accuracy": 0.17444179207086563,
+      "num_tokens": 7841179.0,
+      "step": 4305
+    },
+    {
+      "entropy": 5.489819192886353,
+      "epoch": 3.5708367854183924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004077165966331454,
+      "loss": 5.1587,
+      "mean_token_accuracy": 0.1852751389145851,
+      "num_tokens": 7849841.0,
+      "step": 4310
+    },
+    {
+      "entropy": 5.301797342300415,
+      "epoch": 3.5749792874896436,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004074584174828735,
+      "loss": 5.2184,
+      "mean_token_accuracy": 0.1747626096010208,
+      "num_tokens": 7859390.0,
+      "step": 4315
+    },
+    {
+      "entropy": 5.493851947784424,
+      "epoch": 3.5791217895608947,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040719997114949856,
+      "loss": 5.1913,
+      "mean_token_accuracy": 0.17565421015024185,
+      "num_tokens": 7868848.0,
+      "step": 4320
+    },
+    {
+      "entropy": 5.506833124160766,
+      "epoch": 3.5832642916321458,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040694125815433533,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.18058759868144988,
+      "num_tokens": 7877521.0,
+      "step": 4325
+    },
+    {
+      "entropy": 5.488465976715088,
+      "epoch": 3.587406793703397,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004066822790192359,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.17181889414787294,
+      "num_tokens": 7886355.0,
+      "step": 4330
+    },
+    {
+      "entropy": 5.437413024902344,
+      "epoch": 3.591549295774648,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00040642303426658967,
+      "loss": 5.2518,
+      "mean_token_accuracy": 0.17224401384592056,
+      "num_tokens": 7895028.0,
+      "step": 4335
+    },
+    {
+      "entropy": 5.379445266723633,
+      "epoch": 3.595691797845899,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040616352441932163,
+      "loss": 5.1282,
+      "mean_token_accuracy": 0.17695483118295668,
+      "num_tokens": 7904192.0,
+      "step": 4340
+    },
+    {
+      "entropy": 5.439553546905517,
+      "epoch": 3.59983429991715,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00040590375000089146,
+      "loss": 5.2066,
+      "mean_token_accuracy": 0.17032651007175445,
+      "num_tokens": 7912328.0,
+      "step": 4345
+    },
+    {
+      "entropy": 5.5121315002441404,
+      "epoch": 3.603976801988401,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00040564371153529256,
+      "loss": 5.2517,
+      "mean_token_accuracy": 0.1720314145088196,
+      "num_tokens": 7922594.0,
+      "step": 4350
+    },
+    {
+      "entropy": 5.450373315811158,
+      "epoch": 3.608119304059652,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004053834095470509,
+      "loss": 5.2201,
+      "mean_token_accuracy": 0.16222715824842454,
+      "num_tokens": 7932345.0,
+      "step": 4355
+    },
+    {
+      "entropy": 5.505369853973389,
+      "epoch": 3.612261806130903,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00040512284456122407,
+      "loss": 5.2236,
+      "mean_token_accuracy": 0.17660728394985198,
+      "num_tokens": 7942800.0,
+      "step": 4360
+    },
+    {
+      "entropy": 5.410261583328247,
+      "epoch": 3.616404308202154,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00040486201710340016,
+      "loss": 5.1287,
+      "mean_token_accuracy": 0.1859680861234665,
+      "num_tokens": 7951094.0,
+      "step": 4365
+    },
+    {
+      "entropy": 5.429905796051026,
+      "epoch": 3.6205468102734053,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040460092769969654,
+      "loss": 5.1947,
+      "mean_token_accuracy": 0.17089750617742538,
+      "num_tokens": 7960652.0,
+      "step": 4370
+    },
+    {
+      "entropy": 5.518308162689209,
+      "epoch": 3.624689312344656,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004043395768767592,
+      "loss": 5.2977,
+      "mean_token_accuracy": 0.16983983814716339,
+      "num_tokens": 7969350.0,
+      "step": 4375
+    },
+    {
+      "entropy": 5.475090789794922,
+      "epoch": 3.628831814415907,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004040779651617612,
+      "loss": 5.1831,
+      "mean_token_accuracy": 0.1762356474995613,
+      "num_tokens": 7978969.0,
+      "step": 4380
+    },
+    {
+      "entropy": 5.422111892700196,
+      "epoch": 3.632974316487158,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040381609308240207,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.1777448311448097,
+      "num_tokens": 7988531.0,
+      "step": 4385
+    },
+    {
+      "entropy": 5.423072242736817,
+      "epoch": 3.6371168185584093,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040355396116690634,
+      "loss": 5.1864,
+      "mean_token_accuracy": 0.17186058908700944,
+      "num_tokens": 7996576.0,
+      "step": 4390
+    },
+    {
+      "entropy": 5.435235500335693,
+      "epoch": 3.6412593206296604,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004032915699440227,
+      "loss": 5.2216,
+      "mean_token_accuracy": 0.17088689655065536,
+      "num_tokens": 8006279.0,
+      "step": 4395
+    },
+    {
+      "entropy": 5.496079921722412,
+      "epoch": 3.6454018227009115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000403028919943023,
+      "loss": 5.2049,
+      "mean_token_accuracy": 0.17314011603593826,
+      "num_tokens": 8015476.0,
+      "step": 4400
+    },
+    {
+      "entropy": 5.474205350875854,
+      "epoch": 3.6495443247721626,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004027660116937009,
+      "loss": 5.2326,
+      "mean_token_accuracy": 0.17077937126159667,
+      "num_tokens": 8025450.0,
+      "step": 4405
+    },
+    {
+      "entropy": 5.4402251720428465,
+      "epoch": 3.6536868268434133,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004025028457263712,
+      "loss": 5.2238,
+      "mean_token_accuracy": 0.17810273319482803,
+      "num_tokens": 8034850.0,
+      "step": 4410
+    },
+    {
+      "entropy": 5.3980237483978275,
+      "epoch": 3.6578293289146644,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004022394225718684,
+      "loss": 5.1709,
+      "mean_token_accuracy": 0.17368220686912536,
+      "num_tokens": 8044526.0,
+      "step": 4415
+    },
+    {
+      "entropy": 5.446775197982788,
+      "epoch": 3.6619718309859155,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004019757427615456,
+      "loss": 5.1341,
+      "mean_token_accuracy": 0.17317759096622468,
+      "num_tokens": 8054033.0,
+      "step": 4420
+    },
+    {
+      "entropy": 5.478370094299317,
+      "epoch": 3.6661143330571666,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0004017118068272739,
+      "loss": 5.2298,
+      "mean_token_accuracy": 0.17926038503646852,
+      "num_tokens": 8063535.0,
+      "step": 4425
+    },
+    {
+      "entropy": 5.495908880233765,
+      "epoch": 3.6702568351284177,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040144761530144096,
+      "loss": 5.2181,
+      "mean_token_accuracy": 0.18870080262422562,
+      "num_tokens": 8073079.0,
+      "step": 4430
+    },
+    {
+      "entropy": 5.367459678649903,
+      "epoch": 3.6743993371996684,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00040118316871695,
+      "loss": 5.1505,
+      "mean_token_accuracy": 0.18230827152729034,
+      "num_tokens": 8082925.0,
+      "step": 4435
+    },
+    {
+      "entropy": 5.457099437713623,
+      "epoch": 3.6785418392709195,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040091846760721857,
+      "loss": 5.2466,
+      "mean_token_accuracy": 0.17278454601764678,
+      "num_tokens": 8092038.0,
+      "step": 4440
+    },
+    {
+      "entropy": 5.460009002685547,
+      "epoch": 3.6826843413421706,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040065351250617774,
+      "loss": 5.2137,
+      "mean_token_accuracy": 0.1679331600666046,
+      "num_tokens": 8101581.0,
+      "step": 4445
+    },
+    {
+      "entropy": 5.392482471466065,
+      "epoch": 3.6868268434134217,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00040038830394827107,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.17032679468393325,
+      "num_tokens": 8111392.0,
+      "step": 4450
+    },
+    {
+      "entropy": 5.5369532108306885,
+      "epoch": 3.690969345484673,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000400122842468453,
+      "loss": 5.2742,
+      "mean_token_accuracy": 0.16916199624538422,
+      "num_tokens": 8120941.0,
+      "step": 4455
+    },
+    {
+      "entropy": 5.403111267089844,
+      "epoch": 3.695111847555924,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003998571286021884,
+      "loss": 5.1822,
+      "mean_token_accuracy": 0.1721450611948967,
+      "num_tokens": 8129983.0,
+      "step": 4460
+    },
+    {
+      "entropy": 5.482623481750489,
+      "epoch": 3.699254349627175,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003995911628854512,
+      "loss": 5.3064,
+      "mean_token_accuracy": 0.1740827202796936,
+      "num_tokens": 8139428.0,
+      "step": 4465
+    },
+    {
+      "entropy": 5.509563970565796,
+      "epoch": 3.7033968516984257,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003993249458547234,
+      "loss": 5.2302,
+      "mean_token_accuracy": 0.16980735808610917,
+      "num_tokens": 8148520.0,
+      "step": 4470
+    },
+    {
+      "entropy": 5.3746521949768065,
+      "epoch": 3.707539353769677,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039905847804699363,
+      "loss": 5.0676,
+      "mean_token_accuracy": 0.18766331672668457,
+      "num_tokens": 8156908.0,
+      "step": 4475
+    },
+    {
+      "entropy": 5.446433591842651,
+      "epoch": 3.711681855840928,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00039879175999975677,
+      "loss": 5.2156,
+      "mean_token_accuracy": 0.18001207262277602,
+      "num_tokens": 8165677.0,
+      "step": 4480
+    },
+    {
+      "entropy": 5.386814975738526,
+      "epoch": 3.715824357912179,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00039852479225101217,
+      "loss": 5.1883,
+      "mean_token_accuracy": 0.17356531620025634,
+      "num_tokens": 8174786.0,
+      "step": 4485
+    },
+    {
+      "entropy": 5.454575872421264,
+      "epoch": 3.71996685998343,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00039825757533926305,
+      "loss": 5.2484,
+      "mean_token_accuracy": 0.16340016275644303,
+      "num_tokens": 8184150.0,
+      "step": 4490
+    },
+    {
+      "entropy": 5.4400050163269045,
+      "epoch": 3.724109362054681,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039799010980351494,
+      "loss": 5.1455,
+      "mean_token_accuracy": 0.1879016414284706,
+      "num_tokens": 8192257.0,
+      "step": 4495
+    },
+    {
+      "entropy": 5.452324247360229,
+      "epoch": 3.728251864125932,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00039772239618327535,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.1748780906200409,
+      "num_tokens": 8201041.0,
+      "step": 4500
+    },
+    {
+      "epoch": 3.728251864125932,
+      "eval_entropy": 5.297962182620441,
+      "eval_loss": 5.854063987731934,
+      "eval_mean_token_accuracy": 0.15576711011085428,
+      "eval_num_tokens": 8201041.0,
+      "eval_runtime": 2.7449,
+      "eval_samples_per_second": 1365.057,
+      "eval_steps_per_second": 170.86,
+      "step": 4500
+    },
+    {
+      "entropy": 5.430630874633789,
+      "epoch": 3.732394366197183,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00039745443501855156,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18020173758268357,
+      "num_tokens": 8209881.0,
+      "step": 4505
+    },
+    {
+      "entropy": 5.426507759094238,
+      "epoch": 3.736536868268434,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039718622684985075,
+      "loss": 5.2198,
+      "mean_token_accuracy": 0.1857784554362297,
+      "num_tokens": 8218504.0,
+      "step": 4510
+    },
+    {
+      "entropy": 5.427436780929566,
+      "epoch": 3.7406793703396852,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000396917772218178,
+      "loss": 5.0397,
+      "mean_token_accuracy": 0.19483556151390075,
+      "num_tokens": 8226785.0,
+      "step": 4515
+    },
+    {
+      "entropy": 5.463036251068115,
+      "epoch": 3.7448218724109363,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0003966490716650357,
+      "loss": 5.1879,
+      "mean_token_accuracy": 0.1808652698993683,
+      "num_tokens": 8236092.0,
+      "step": 4520
+    },
+    {
+      "entropy": 5.398115777969361,
+      "epoch": 3.7489643744821874,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039638012573242225,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18426763266324997,
+      "num_tokens": 8245297.0,
+      "step": 4525
+    },
+    {
+      "entropy": 5.498414611816406,
+      "epoch": 3.7531068765534386,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003961109349628309,
+      "loss": 5.2544,
+      "mean_token_accuracy": 0.16994525790214537,
+      "num_tokens": 8254772.0,
+      "step": 4530
+    },
+    {
+      "entropy": 5.488787031173706,
+      "epoch": 3.757249378624689,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000395841499899249,
+      "loss": 5.3168,
+      "mean_token_accuracy": 0.1684611275792122,
+      "num_tokens": 8264310.0,
+      "step": 4535
+    },
+    {
+      "entropy": 5.4844201564788815,
+      "epoch": 3.7613918806959403,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00039557182108515624,
+      "loss": 5.2197,
+      "mean_token_accuracy": 0.1802253693342209,
+      "num_tokens": 8274184.0,
+      "step": 4540
+    },
+    {
+      "entropy": 5.40406289100647,
+      "epoch": 3.7655343827671914,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039530189906452457,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.18066346347332002,
+      "num_tokens": 8283151.0,
+      "step": 4545
+    },
+    {
+      "entropy": 5.490919494628907,
+      "epoch": 3.7696768848384425,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00039503173438181605,
+      "loss": 5.2375,
+      "mean_token_accuracy": 0.16958207488059998,
+      "num_tokens": 8292574.0,
+      "step": 4550
+    },
+    {
+      "entropy": 5.37688570022583,
+      "epoch": 3.773819386909693,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039476132758198236,
+      "loss": 5.1589,
+      "mean_token_accuracy": 0.17906700521707536,
+      "num_tokens": 8301281.0,
+      "step": 4555
+    },
+    {
+      "entropy": 5.404768991470337,
+      "epoch": 3.7779618889809443,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039449067921046353,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.184201979637146,
+      "num_tokens": 8310201.0,
+      "step": 4560
+    },
+    {
+      "entropy": 5.5153802871704105,
+      "epoch": 3.7821043910521954,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00039421978981318703,
+      "loss": 5.243,
+      "mean_token_accuracy": 0.17428653091192245,
+      "num_tokens": 8320369.0,
+      "step": 4565
+    },
+    {
+      "entropy": 5.490174674987793,
+      "epoch": 3.7862468931234465,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00039394865993656625,
+      "loss": 5.2332,
+      "mean_token_accuracy": 0.17829314470291138,
+      "num_tokens": 8329519.0,
+      "step": 4570
+    },
+    {
+      "entropy": 5.4183516025543215,
+      "epoch": 3.7903893951946976,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003936772901274999,
+      "loss": 5.2233,
+      "mean_token_accuracy": 0.16786337196826934,
+      "num_tokens": 8338282.0,
+      "step": 4575
+    },
+    {
+      "entropy": 5.422275066375732,
+      "epoch": 3.7945318972659487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003934056809333705,
+      "loss": 5.2367,
+      "mean_token_accuracy": 0.1760738953948021,
+      "num_tokens": 8346861.0,
+      "step": 4580
+    },
+    {
+      "entropy": 5.493864250183106,
+      "epoch": 3.7986743993372,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039313383290204333,
+      "loss": 5.2689,
+      "mean_token_accuracy": 0.16675272732973098,
+      "num_tokens": 8356078.0,
+      "step": 4585
+    },
+    {
+      "entropy": 5.449766826629639,
+      "epoch": 3.802816901408451,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003928617465818658,
+      "loss": 5.2279,
+      "mean_token_accuracy": 0.16728012412786483,
+      "num_tokens": 8365487.0,
+      "step": 4590
+    },
+    {
+      "entropy": 5.477828598022461,
+      "epoch": 3.8069594034797016,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00039258942252166554,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.17344195693731307,
+      "num_tokens": 8374622.0,
+      "step": 4595
+    },
+    {
+      "entropy": 5.467281007766724,
+      "epoch": 3.8111019055509527,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003923168612707502,
+      "loss": 5.1437,
+      "mean_token_accuracy": 0.1838704138994217,
+      "num_tokens": 8383312.0,
+      "step": 4600
+    },
+    {
+      "entropy": 5.375951862335205,
+      "epoch": 3.815244407622204,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003920440633789053,
+      "loss": 5.1668,
+      "mean_token_accuracy": 0.17426021844148637,
+      "num_tokens": 8391987.0,
+      "step": 4605
+    },
+    {
+      "entropy": 5.411648225784302,
+      "epoch": 3.819386909693455,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039177102939639424,
+      "loss": 5.1782,
+      "mean_token_accuracy": 0.17309755831956863,
+      "num_tokens": 8401263.0,
+      "step": 4610
+    },
+    {
+      "entropy": 5.520602798461914,
+      "epoch": 3.8235294117647056,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003914977598739563,
+      "loss": 5.1998,
+      "mean_token_accuracy": 0.18663258850574493,
+      "num_tokens": 8410110.0,
+      "step": 4615
+    },
+    {
+      "entropy": 5.505752420425415,
+      "epoch": 3.8276719138359567,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003912242553628059,
+      "loss": 5.2827,
+      "mean_token_accuracy": 0.16937017440795898,
+      "num_tokens": 8419321.0,
+      "step": 4620
+    },
+    {
+      "entropy": 5.470319938659668,
+      "epoch": 3.831814415907208,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003909505164146318,
+      "loss": 5.2512,
+      "mean_token_accuracy": 0.17635022550821305,
+      "num_tokens": 8428376.0,
+      "step": 4625
+    },
+    {
+      "entropy": 5.446829080581665,
+      "epoch": 3.835956917978459,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000390676543581595,
+      "loss": 5.1826,
+      "mean_token_accuracy": 0.1743323564529419,
+      "num_tokens": 8437263.0,
+      "step": 4630
+    },
+    {
+      "entropy": 5.361465311050415,
+      "epoch": 3.84009942004971,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003904023374163289,
+      "loss": 5.1943,
+      "mean_token_accuracy": 0.17949013262987137,
+      "num_tokens": 8445889.0,
+      "step": 4635
+    },
+    {
+      "entropy": 5.503735971450806,
+      "epoch": 3.844241922120961,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003901278984719372,
+      "loss": 5.3739,
+      "mean_token_accuracy": 0.16415481567382811,
+      "num_tokens": 8456086.0,
+      "step": 4640
+    },
+    {
+      "entropy": 5.492273569107056,
+      "epoch": 3.8483844241922123,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00038985322730199326,
+      "loss": 5.2018,
+      "mean_token_accuracy": 0.1795567825436592,
+      "num_tokens": 8465150.0,
+      "step": 4645
+    },
+    {
+      "entropy": 5.431647396087646,
+      "epoch": 3.8525269262634634,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003895783244605389,
+      "loss": 5.2783,
+      "mean_token_accuracy": 0.1720671087503433,
+      "num_tokens": 8474172.0,
+      "step": 4650
+    },
+    {
+      "entropy": 5.404905462265015,
+      "epoch": 3.856669428334714,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00038930319050208315,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.18708953112363816,
+      "num_tokens": 8483636.0,
+      "step": 4655
+    },
+    {
+      "entropy": 5.408392810821534,
+      "epoch": 3.860811930405965,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00038902782598160127,
+      "loss": 5.1091,
+      "mean_token_accuracy": 0.1881578117609024,
+      "num_tokens": 8491560.0,
+      "step": 4660
+    },
+    {
+      "entropy": 5.484521150588989,
+      "epoch": 3.8649544324772163,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00038875223145453346,
+      "loss": 5.4046,
+      "mean_token_accuracy": 0.17662398070096968,
+      "num_tokens": 8501685.0,
+      "step": 4665
+    },
+    {
+      "entropy": 5.551066589355469,
+      "epoch": 3.8690969345484674,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003884764074767842,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.17176942974328996,
+      "num_tokens": 8510580.0,
+      "step": 4670
+    },
+    {
+      "entropy": 5.477302551269531,
+      "epoch": 3.873239436619718,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003882003546047205,
+      "loss": 5.2013,
+      "mean_token_accuracy": 0.17522621154785156,
+      "num_tokens": 8519595.0,
+      "step": 4675
+    },
+    {
+      "entropy": 5.506098508834839,
+      "epoch": 3.877381938690969,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00038792407339517123,
+      "loss": 5.2786,
+      "mean_token_accuracy": 0.17400375306606292,
+      "num_tokens": 8529118.0,
+      "step": 4680
+    },
+    {
+      "entropy": 5.507658243179321,
+      "epoch": 3.8815244407622203,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00038764756440542574,
+      "loss": 5.2477,
+      "mean_token_accuracy": 0.17185091674327851,
+      "num_tokens": 8539322.0,
+      "step": 4685
+    },
+    {
+      "entropy": 5.454025650024414,
+      "epoch": 3.8856669428334714,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038737082819323285,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.17740404605865479,
+      "num_tokens": 8548707.0,
+      "step": 4690
+    },
+    {
+      "entropy": 5.427890157699585,
+      "epoch": 3.8898094449047225,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00038709386531679974,
+      "loss": 5.2576,
+      "mean_token_accuracy": 0.1718251511454582,
+      "num_tokens": 8557500.0,
+      "step": 4695
+    },
+    {
+      "entropy": 5.436252593994141,
+      "epoch": 3.8939519469759736,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00038681667633479086,
+      "loss": 5.2621,
+      "mean_token_accuracy": 0.1682343602180481,
+      "num_tokens": 8567465.0,
+      "step": 4700
+    },
+    {
+      "entropy": 5.381856250762939,
+      "epoch": 3.8980944490472247,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038653926180632665,
+      "loss": 5.1165,
+      "mean_token_accuracy": 0.18321423530578612,
+      "num_tokens": 8576680.0,
+      "step": 4705
+    },
+    {
+      "entropy": 5.495894527435302,
+      "epoch": 3.902236951118476,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00038626162229098257,
+      "loss": 5.2631,
+      "mean_token_accuracy": 0.16617788672447203,
+      "num_tokens": 8585539.0,
+      "step": 4710
+    },
+    {
+      "entropy": 5.400326347351074,
+      "epoch": 3.9063794531897265,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003859837583487877,
+      "loss": 5.1007,
+      "mean_token_accuracy": 0.18613590002059938,
+      "num_tokens": 8593598.0,
+      "step": 4715
+    },
+    {
+      "entropy": 5.4148589134216305,
+      "epoch": 3.9105219552609776,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003857056705402241,
+      "loss": 5.236,
+      "mean_token_accuracy": 0.1721765860915184,
+      "num_tokens": 8603440.0,
+      "step": 4720
+    },
+    {
+      "entropy": 5.384281969070434,
+      "epoch": 3.9146644573322287,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003854273594262253,
+      "loss": 5.0591,
+      "mean_token_accuracy": 0.1858549162745476,
+      "num_tokens": 8612490.0,
+      "step": 4725
+    },
+    {
+      "entropy": 5.387153816223145,
+      "epoch": 3.91880695940348,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003851488255681752,
+      "loss": 5.1508,
+      "mean_token_accuracy": 0.17980385273694993,
+      "num_tokens": 8621994.0,
+      "step": 4730
+    },
+    {
+      "entropy": 5.462166833877563,
+      "epoch": 3.922949461474731,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000384870069527907,
+      "loss": 5.2269,
+      "mean_token_accuracy": 0.16994049549102783,
+      "num_tokens": 8631185.0,
+      "step": 4735
+    },
+    {
+      "entropy": 5.445327711105347,
+      "epoch": 3.9270919635459816,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00038459109186770213,
+      "loss": 5.1201,
+      "mean_token_accuracy": 0.18937034606933595,
+      "num_tokens": 8639018.0,
+      "step": 4740
+    },
+    {
+      "entropy": 5.365725660324097,
+      "epoch": 3.9312344656172327,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00038431189315028905,
+      "loss": 5.1293,
+      "mean_token_accuracy": 0.1805494785308838,
+      "num_tokens": 8647672.0,
+      "step": 4745
+    },
+    {
+      "entropy": 5.42286114692688,
+      "epoch": 3.9353769676884838,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003840324739388419,
+      "loss": 5.2659,
+      "mean_token_accuracy": 0.16662627309560776,
+      "num_tokens": 8656638.0,
+      "step": 4750
+    },
+    {
+      "entropy": 5.4803203582763675,
+      "epoch": 3.939519469759735,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00038375283479698,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.18231208473443986,
+      "num_tokens": 8666167.0,
+      "step": 4755
+    },
+    {
+      "entropy": 5.505121231079102,
+      "epoch": 3.943661971830986,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003834729762887659,
+      "loss": 5.3067,
+      "mean_token_accuracy": 0.16447765678167342,
+      "num_tokens": 8676435.0,
+      "step": 4760
+    },
+    {
+      "entropy": 5.413615751266479,
+      "epoch": 3.947804473902237,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003831928989787049,
+      "loss": 5.1808,
+      "mean_token_accuracy": 0.18012969940900803,
+      "num_tokens": 8686011.0,
+      "step": 4765
+    },
+    {
+      "entropy": 5.463970613479614,
+      "epoch": 3.951946975973488,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003829126034317435,
+      "loss": 5.1959,
+      "mean_token_accuracy": 0.17213619947433473,
+      "num_tokens": 8695063.0,
+      "step": 4770
+    },
+    {
+      "entropy": 5.517300796508789,
+      "epoch": 3.956089478044739,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003826320902132684,
+      "loss": 5.299,
+      "mean_token_accuracy": 0.16880902647972107,
+      "num_tokens": 8704585.0,
+      "step": 4775
+    },
+    {
+      "entropy": 5.469470262527466,
+      "epoch": 3.96023198011599,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038235135988910545,
+      "loss": 5.2111,
+      "mean_token_accuracy": 0.17501715570688248,
+      "num_tokens": 8714097.0,
+      "step": 4780
+    },
+    {
+      "entropy": 5.433980226516724,
+      "epoch": 3.964374482187241,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00038207041302551844,
+      "loss": 5.1327,
+      "mean_token_accuracy": 0.1802523225545883,
+      "num_tokens": 8722890.0,
+      "step": 4785
+    },
+    {
+      "entropy": 5.36038613319397,
+      "epoch": 3.968516984258492,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003817892501892078,
+      "loss": 5.1474,
+      "mean_token_accuracy": 0.18226009160280227,
+      "num_tokens": 8732046.0,
+      "step": 4790
+    },
+    {
+      "entropy": 5.385818529129028,
+      "epoch": 3.9726594863297433,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038150787194730977,
+      "loss": 5.1867,
+      "mean_token_accuracy": 0.18098812699317932,
+      "num_tokens": 8741750.0,
+      "step": 4795
+    },
+    {
+      "entropy": 5.49769434928894,
+      "epoch": 3.976801988400994,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000381226278867395,
+      "loss": 5.1585,
+      "mean_token_accuracy": 0.17722393125295638,
+      "num_tokens": 8750141.0,
+      "step": 4800
+    },
+    {
+      "entropy": 5.3994584560394285,
+      "epoch": 3.980944490472245,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00038094447151746746,
+      "loss": 5.0956,
+      "mean_token_accuracy": 0.18723244071006775,
+      "num_tokens": 8758567.0,
+      "step": 4805
+    },
+    {
+      "entropy": 5.376461982727051,
+      "epoch": 3.985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003806624504659635,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1782562255859375,
+      "num_tokens": 8767829.0,
+      "step": 4810
+    },
+    {
+      "entropy": 5.416551733016968,
+      "epoch": 3.9892294946147473,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003803802162817503,
+      "loss": 5.0891,
+      "mean_token_accuracy": 0.18413031548261644,
+      "num_tokens": 8776911.0,
+      "step": 4815
+    },
+    {
+      "entropy": 5.403548002243042,
+      "epoch": 3.9933719966859984,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000380097769534125,
+      "loss": 5.2011,
+      "mean_token_accuracy": 0.18309975266456605,
+      "num_tokens": 8786117.0,
+      "step": 4820
+    },
+    {
+      "entropy": 5.401311016082763,
+      "epoch": 3.9975144987572495,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003798151107928136,
+      "loss": 5.1436,
+      "mean_token_accuracy": 0.18381998240947722,
+      "num_tokens": 8795647.0,
+      "step": 4825
+    },
+    {
+      "entropy": 5.363515567779541,
+      "epoch": 4.001657000828501,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00037953224062796967,
+      "loss": 5.1114,
+      "mean_token_accuracy": 0.18405449539422988,
+      "num_tokens": 8803480.0,
+      "step": 4830
+    },
+    {
+      "entropy": 5.504069137573242,
+      "epoch": 4.005799502899752,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003792491596101733,
+      "loss": 4.9454,
+      "mean_token_accuracy": 0.19255731254816055,
+      "num_tokens": 8812825.0,
+      "step": 4835
+    },
+    {
+      "entropy": 5.45196304321289,
+      "epoch": 4.009942004971003,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003789658683104298,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19097152799367906,
+      "num_tokens": 8821911.0,
+      "step": 4840
+    },
+    {
+      "entropy": 5.429521989822388,
+      "epoch": 4.014084507042254,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037868236730016866,
+      "loss": 4.9518,
+      "mean_token_accuracy": 0.18948255032300948,
+      "num_tokens": 8830691.0,
+      "step": 4845
+    },
+    {
+      "entropy": 5.400455188751221,
+      "epoch": 4.018227009113504,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037839865715124234,
+      "loss": 4.9281,
+      "mean_token_accuracy": 0.19010053426027299,
+      "num_tokens": 8840410.0,
+      "step": 4850
+    },
+    {
+      "entropy": 5.374143838882446,
+      "epoch": 4.022369511184755,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00037811473843592534,
+      "loss": 4.9042,
+      "mean_token_accuracy": 0.19410175532102586,
+      "num_tokens": 8849662.0,
+      "step": 4855
+    },
+    {
+      "entropy": 5.4465690612792965,
+      "epoch": 4.026512013256006,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00037783061172691273,
+      "loss": 4.8985,
+      "mean_token_accuracy": 0.19412659406661986,
+      "num_tokens": 8858666.0,
+      "step": 4860
+    },
+    {
+      "entropy": 5.497456216812134,
+      "epoch": 4.0306545153272575,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003775462775973191,
+      "loss": 4.9611,
+      "mean_token_accuracy": 0.1847592905163765,
+      "num_tokens": 8867885.0,
+      "step": 4865
+    },
+    {
+      "entropy": 5.351856470108032,
+      "epoch": 4.034797017398509,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003772617366206773,
+      "loss": 4.9175,
+      "mean_token_accuracy": 0.19424951672554017,
+      "num_tokens": 8877458.0,
+      "step": 4870
+    },
+    {
+      "entropy": 5.363556432723999,
+      "epoch": 4.03893951946976,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037697698937093783,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.18704084753990174,
+      "num_tokens": 8886995.0,
+      "step": 4875
+    },
+    {
+      "entropy": 5.463095617294312,
+      "epoch": 4.043082021541011,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00037669203642246685,
+      "loss": 5.026,
+      "mean_token_accuracy": 0.18413490056991577,
+      "num_tokens": 8895224.0,
+      "step": 4880
+    },
+    {
+      "entropy": 5.4529016494750975,
+      "epoch": 4.047224523612262,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00037640687835004567,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.1925043895840645,
+      "num_tokens": 8905216.0,
+      "step": 4885
+    },
+    {
+      "entropy": 5.426698875427246,
+      "epoch": 4.051367025683513,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003761215157288692,
+      "loss": 4.9558,
+      "mean_token_accuracy": 0.19299548715353013,
+      "num_tokens": 8915493.0,
+      "step": 4890
+    },
+    {
+      "entropy": 5.362393617630005,
+      "epoch": 4.055509527754764,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00037583594913454514,
+      "loss": 4.925,
+      "mean_token_accuracy": 0.1959809884428978,
+      "num_tokens": 8924740.0,
+      "step": 4895
+    },
+    {
+      "entropy": 5.42564959526062,
+      "epoch": 4.059652029826015,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003755501791430925,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.18527257889509202,
+      "num_tokens": 8934726.0,
+      "step": 4900
+    },
+    {
+      "entropy": 5.448423719406128,
+      "epoch": 4.063794531897266,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00037526420633094044,
+      "loss": 4.9581,
+      "mean_token_accuracy": 0.18748125433921814,
+      "num_tokens": 8944301.0,
+      "step": 4905
+    },
+    {
+      "entropy": 5.449982643127441,
+      "epoch": 4.067937033968517,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037497803127492757,
+      "loss": 4.9881,
+      "mean_token_accuracy": 0.19187170565128325,
+      "num_tokens": 8953967.0,
+      "step": 4910
+    },
+    {
+      "entropy": 5.326543855667114,
+      "epoch": 4.072079536039768,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003746916545523001,
+      "loss": 4.8948,
+      "mean_token_accuracy": 0.19177066087722777,
+      "num_tokens": 8962983.0,
+      "step": 4915
+    },
+    {
+      "entropy": 5.381871175765991,
+      "epoch": 4.076222038111019,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003744050767407113,
+      "loss": 5.0191,
+      "mean_token_accuracy": 0.18154184073209761,
+      "num_tokens": 8972019.0,
+      "step": 4920
+    },
+    {
+      "entropy": 5.40556058883667,
+      "epoch": 4.08036454018227,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0003741182984182198,
+      "loss": 4.901,
+      "mean_token_accuracy": 0.20234887301921844,
+      "num_tokens": 8981751.0,
+      "step": 4925
+    },
+    {
+      "entropy": 5.3616517066955565,
+      "epoch": 4.084507042253521,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003738313201632889,
+      "loss": 4.8923,
+      "mean_token_accuracy": 0.19780989587306977,
+      "num_tokens": 8990330.0,
+      "step": 4930
+    },
+    {
+      "entropy": 5.314311408996582,
+      "epoch": 4.088649544324772,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003735441425547851,
+      "loss": 4.905,
+      "mean_token_accuracy": 0.19072338491678237,
+      "num_tokens": 8998366.0,
+      "step": 4935
+    },
+    {
+      "entropy": 5.290538501739502,
+      "epoch": 4.092792046396023,
+      "grad_norm": 1.828125,
+      "learning_rate": 0.00037325676617197697,
+      "loss": 4.8317,
+      "mean_token_accuracy": 0.20186650305986403,
+      "num_tokens": 9006881.0,
+      "step": 4940
+    },
+    {
+      "entropy": 5.323595571517944,
+      "epoch": 4.096934548467274,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0003729691915945342,
+      "loss": 4.8944,
+      "mean_token_accuracy": 0.19853760153055192,
+      "num_tokens": 9015415.0,
+      "step": 4945
+    },
+    {
+      "entropy": 5.40374059677124,
+      "epoch": 4.1010770505385254,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000372681419402526,
+      "loss": 4.9483,
+      "mean_token_accuracy": 0.19546929001808167,
+      "num_tokens": 9024578.0,
+      "step": 4950
+    },
+    {
+      "entropy": 5.381409311294556,
+      "epoch": 4.105219552609777,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003723934501764203,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.1867024227976799,
+      "num_tokens": 9032637.0,
+      "step": 4955
+    },
+    {
+      "entropy": 5.395318984985352,
+      "epoch": 4.109362054681028,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0003721052844970826,
+      "loss": 4.8913,
+      "mean_token_accuracy": 0.18718749284744263,
+      "num_tokens": 9041513.0,
+      "step": 4960
+    },
+    {
+      "entropy": 5.394489192962647,
+      "epoch": 4.113504556752279,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00037181692294577457,
+      "loss": 4.9155,
+      "mean_token_accuracy": 0.1854037255048752,
+      "num_tokens": 9051024.0,
+      "step": 4965
+    },
+    {
+      "entropy": 5.33848295211792,
+      "epoch": 4.117647058823529,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037152836610415284,
+      "loss": 4.8895,
+      "mean_token_accuracy": 0.19274405539035797,
+      "num_tokens": 9059494.0,
+      "step": 4970
+    },
+    {
+      "entropy": 5.31979193687439,
+      "epoch": 4.12178956089478,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00037123961455426836,
+      "loss": 4.7988,
+      "mean_token_accuracy": 0.19865831583738328,
+      "num_tokens": 9068166.0,
+      "step": 4975
+    },
+    {
+      "entropy": 5.391095542907715,
+      "epoch": 4.125932062966031,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00037095066887856434,
+      "loss": 4.907,
+      "mean_token_accuracy": 0.19333944320678711,
+      "num_tokens": 9077283.0,
+      "step": 4980
+    },
+    {
+      "entropy": 5.3755443572998045,
+      "epoch": 4.130074565037282,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003706615296598758,
+      "loss": 4.9332,
+      "mean_token_accuracy": 0.19493403136730195,
+      "num_tokens": 9086605.0,
+      "step": 4985
+    },
+    {
+      "entropy": 5.301020622253418,
+      "epoch": 4.134217067108533,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003703721974814282,
+      "loss": 4.9169,
+      "mean_token_accuracy": 0.19399153292179108,
+      "num_tokens": 9095567.0,
+      "step": 4990
+    },
+    {
+      "entropy": 5.282594537734985,
+      "epoch": 4.1383595691797845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00037008267292683615,
+      "loss": 4.9012,
+      "mean_token_accuracy": 0.19265301078557967,
+      "num_tokens": 9104457.0,
+      "step": 4995
+    },
+    {
+      "entropy": 5.398877716064453,
+      "epoch": 4.142502071251036,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036979295658010227,
+      "loss": 4.9533,
+      "mean_token_accuracy": 0.20162091553211212,
+      "num_tokens": 9113945.0,
+      "step": 5000
+    },
+    {
+      "epoch": 4.142502071251036,
+      "eval_entropy": 5.273210916946184,
+      "eval_loss": 5.83656120300293,
+      "eval_mean_token_accuracy": 0.15772452866281272,
+      "eval_num_tokens": 9113945.0,
+      "eval_runtime": 2.9415,
+      "eval_samples_per_second": 1273.844,
+      "eval_steps_per_second": 159.443,
+      "step": 5000
+    },
+    {
+      "entropy": 5.424594402313232,
+      "epoch": 4.146644573322287,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003695030490256161,
+      "loss": 5.0303,
+      "mean_token_accuracy": 0.18944208920001984,
+      "num_tokens": 9122996.0,
+      "step": 5005
+    },
+    {
+      "entropy": 5.355675983428955,
+      "epoch": 4.150787075393538,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000369212950848153,
+      "loss": 4.8793,
+      "mean_token_accuracy": 0.1962927296757698,
+      "num_tokens": 9132079.0,
+      "step": 5010
+    },
+    {
+      "entropy": 5.384340238571167,
+      "epoch": 4.154929577464789,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003689226626328725,
+      "loss": 5.0058,
+      "mean_token_accuracy": 0.19004727751016617,
+      "num_tokens": 9141335.0,
+      "step": 5015
+    },
+    {
+      "entropy": 5.442283582687378,
+      "epoch": 4.15907207953604,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00036863218496531767,
+      "loss": 5.0264,
+      "mean_token_accuracy": 0.18990386426448821,
+      "num_tokens": 9150049.0,
+      "step": 5020
+    },
+    {
+      "entropy": 5.409811115264892,
+      "epoch": 4.163214581607291,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003683415184314139,
+      "loss": 4.9057,
+      "mean_token_accuracy": 0.19072521328926087,
+      "num_tokens": 9159245.0,
+      "step": 5025
+    },
+    {
+      "entropy": 5.281745195388794,
+      "epoch": 4.167357083678542,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00036805066361746716,
+      "loss": 4.9432,
+      "mean_token_accuracy": 0.19057238101959229,
+      "num_tokens": 9167892.0,
+      "step": 5030
+    },
+    {
+      "entropy": 5.262811374664307,
+      "epoch": 4.1714995857497925,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036775962111016346,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.19675376862287522,
+      "num_tokens": 9176067.0,
+      "step": 5035
+    },
+    {
+      "entropy": 5.335107898712158,
+      "epoch": 4.175642087821044,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036746839149656734,
+      "loss": 4.9032,
+      "mean_token_accuracy": 0.19636716991662978,
+      "num_tokens": 9185318.0,
+      "step": 5040
+    },
+    {
+      "entropy": 5.338614749908447,
+      "epoch": 4.179784589892295,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003671769753641207,
+      "loss": 4.9605,
+      "mean_token_accuracy": 0.19530149400234223,
+      "num_tokens": 9194885.0,
+      "step": 5045
+    },
+    {
+      "entropy": 5.349650192260742,
+      "epoch": 4.183927091963546,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00036688537330064187,
+      "loss": 4.987,
+      "mean_token_accuracy": 0.19436514377593994,
+      "num_tokens": 9203906.0,
+      "step": 5050
+    },
+    {
+      "entropy": 5.318757629394531,
+      "epoch": 4.188069594034797,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000366593585894324,
+      "loss": 4.8507,
+      "mean_token_accuracy": 0.2013680413365364,
+      "num_tokens": 9213351.0,
+      "step": 5055
+    },
+    {
+      "entropy": 5.347932624816894,
+      "epoch": 4.192212096106048,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003663016137337341,
+      "loss": 4.9278,
+      "mean_token_accuracy": 0.18784158080816268,
+      "num_tokens": 9222191.0,
+      "step": 5060
+    },
+    {
+      "entropy": 5.372864198684693,
+      "epoch": 4.196354598177299,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00036600945740781197,
+      "loss": 4.9668,
+      "mean_token_accuracy": 0.1919815331697464,
+      "num_tokens": 9231517.0,
+      "step": 5065
+    },
+    {
+      "entropy": 5.393643712997436,
+      "epoch": 4.20049710024855,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036571711750586896,
+      "loss": 4.9891,
+      "mean_token_accuracy": 0.19960682690143586,
+      "num_tokens": 9241208.0,
+      "step": 5070
+    },
+    {
+      "entropy": 5.391959381103516,
+      "epoch": 4.204639602319801,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003654245946175864,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19324131309986115,
+      "num_tokens": 9250237.0,
+      "step": 5075
+    },
+    {
+      "entropy": 5.37893590927124,
+      "epoch": 4.2087821043910525,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00036513188933301504,
+      "loss": 5.0399,
+      "mean_token_accuracy": 0.18783097416162492,
+      "num_tokens": 9260273.0,
+      "step": 5080
+    },
+    {
+      "entropy": 5.378773164749146,
+      "epoch": 4.212924606462304,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003648390022425734,
+      "loss": 4.8996,
+      "mean_token_accuracy": 0.19140231609344482,
+      "num_tokens": 9268878.0,
+      "step": 5085
+    },
+    {
+      "entropy": 5.325588417053223,
+      "epoch": 4.217067108533554,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003645459339370468,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19706592857837676,
+      "num_tokens": 9276324.0,
+      "step": 5090
+    },
+    {
+      "entropy": 5.312953901290894,
+      "epoch": 4.221209610604805,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036425268500758594,
+      "loss": 4.9725,
+      "mean_token_accuracy": 0.1936806783080101,
+      "num_tokens": 9285052.0,
+      "step": 5095
+    },
+    {
+      "entropy": 5.354986000061035,
+      "epoch": 4.225352112676056,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036395925604570614,
+      "loss": 4.8763,
+      "mean_token_accuracy": 0.20042537599802018,
+      "num_tokens": 9293324.0,
+      "step": 5100
+    },
+    {
+      "entropy": 5.3900477409362795,
+      "epoch": 4.229494614747307,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003636656476432854,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19263672083616257,
+      "num_tokens": 9302131.0,
+      "step": 5105
+    },
+    {
+      "entropy": 5.263408470153808,
+      "epoch": 4.233637116818558,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003633718603925642,
+      "loss": 4.862,
+      "mean_token_accuracy": 0.19388986378908157,
+      "num_tokens": 9311128.0,
+      "step": 5110
+    },
+    {
+      "entropy": 5.420498418807983,
+      "epoch": 4.237779618889809,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0003630778948861434,
+      "loss": 4.9352,
+      "mean_token_accuracy": 0.1895424723625183,
+      "num_tokens": 9319849.0,
+      "step": 5115
+    },
+    {
+      "entropy": 5.336805248260498,
+      "epoch": 4.2419221209610605,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003627837517169836,
+      "loss": 4.9458,
+      "mean_token_accuracy": 0.18560263216495515,
+      "num_tokens": 9328355.0,
+      "step": 5120
+    },
+    {
+      "entropy": 5.352609777450562,
+      "epoch": 4.246064623032312,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003624894314784037,
+      "loss": 4.9236,
+      "mean_token_accuracy": 0.18928787410259246,
+      "num_tokens": 9337562.0,
+      "step": 5125
+    },
+    {
+      "entropy": 5.323793935775757,
+      "epoch": 4.250207125103563,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003621949347640797,
+      "loss": 4.9315,
+      "mean_token_accuracy": 0.196185165643692,
+      "num_tokens": 9347851.0,
+      "step": 5130
+    },
+    {
+      "entropy": 5.398552274703979,
+      "epoch": 4.254349627174814,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003619002621680439,
+      "loss": 4.9325,
+      "mean_token_accuracy": 0.19673411697149276,
+      "num_tokens": 9356524.0,
+      "step": 5135
+    },
+    {
+      "entropy": 5.4241108894348145,
+      "epoch": 4.258492129246065,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003616054142846829,
+      "loss": 5.0307,
+      "mean_token_accuracy": 0.1882170706987381,
+      "num_tokens": 9365521.0,
+      "step": 5140
+    },
+    {
+      "entropy": 5.301144218444824,
+      "epoch": 4.262634631317316,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003613103917087371,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19470559656620026,
+      "num_tokens": 9374088.0,
+      "step": 5145
+    },
+    {
+      "entropy": 5.345515966415405,
+      "epoch": 4.266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003610151950352994,
+      "loss": 4.9794,
+      "mean_token_accuracy": 0.19499585926532745,
+      "num_tokens": 9382683.0,
+      "step": 5150
+    },
+    {
+      "entropy": 5.306409788131714,
+      "epoch": 4.270919635459817,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0003607198248598137,
+      "loss": 4.9063,
+      "mean_token_accuracy": 0.194849793612957,
+      "num_tokens": 9391790.0,
+      "step": 5155
+    },
+    {
+      "entropy": 5.414876556396484,
+      "epoch": 4.2750621375310685,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003604242817780739,
+      "loss": 4.9901,
+      "mean_token_accuracy": 0.19321189671754838,
+      "num_tokens": 9400234.0,
+      "step": 5160
+    },
+    {
+      "entropy": 5.350374364852906,
+      "epoch": 4.27920463960232,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036012856638622273,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19192621409893035,
+      "num_tokens": 9409513.0,
+      "step": 5165
+    },
+    {
+      "entropy": 5.292260932922363,
+      "epoch": 4.283347141673571,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003598326792807504,
+      "loss": 4.9821,
+      "mean_token_accuracy": 0.18258902430534363,
+      "num_tokens": 9418608.0,
+      "step": 5170
+    },
+    {
+      "entropy": 5.427756977081299,
+      "epoch": 4.287489643744822,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00035953662105849357,
+      "loss": 5.0092,
+      "mean_token_accuracy": 0.19452760964632035,
+      "num_tokens": 9428705.0,
+      "step": 5175
+    },
+    {
+      "entropy": 5.3185462474823,
+      "epoch": 4.291632145816073,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000359240392316634,
+      "loss": 4.9177,
+      "mean_token_accuracy": 0.18542011678218842,
+      "num_tokens": 9438149.0,
+      "step": 5180
+    },
+    {
+      "entropy": 5.330511379241943,
+      "epoch": 4.295774647887324,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003589439936526974,
+      "loss": 4.8709,
+      "mean_token_accuracy": 0.19628295600414275,
+      "num_tokens": 9447566.0,
+      "step": 5185
+    },
+    {
+      "entropy": 5.303903436660766,
+      "epoch": 4.299917149958575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003586474256645525,
+      "loss": 4.9641,
+      "mean_token_accuracy": 0.1915314257144928,
+      "num_tokens": 9458156.0,
+      "step": 5190
+    },
+    {
+      "entropy": 5.410308837890625,
+      "epoch": 4.304059652029826,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035835068895040905,
+      "loss": 5.0014,
+      "mean_token_accuracy": 0.19137390553951264,
+      "num_tokens": 9467388.0,
+      "step": 5195
+    },
+    {
+      "entropy": 5.388073253631592,
+      "epoch": 4.308202154101077,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00035805378410881753,
+      "loss": 4.9642,
+      "mean_token_accuracy": 0.1940509021282196,
+      "num_tokens": 9477515.0,
+      "step": 5200
+    },
+    {
+      "entropy": 5.389194107055664,
+      "epoch": 4.312344656172328,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003577567117386675,
+      "loss": 4.9854,
+      "mean_token_accuracy": 0.1937498316168785,
+      "num_tokens": 9485851.0,
+      "step": 5205
+    },
+    {
+      "entropy": 5.377271747589111,
+      "epoch": 4.3164871582435795,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003574594724391863,
+      "loss": 4.9773,
+      "mean_token_accuracy": 0.18631901144981383,
+      "num_tokens": 9495523.0,
+      "step": 5210
+    },
+    {
+      "entropy": 5.303675985336303,
+      "epoch": 4.32062966031483,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003571620668099382,
+      "loss": 4.9104,
+      "mean_token_accuracy": 0.19740363359451293,
+      "num_tokens": 9504195.0,
+      "step": 5215
+    },
+    {
+      "entropy": 5.377063655853272,
+      "epoch": 4.324772162386081,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003568644954508227,
+      "loss": 4.9616,
+      "mean_token_accuracy": 0.1940310388803482,
+      "num_tokens": 9513313.0,
+      "step": 5220
+    },
+    {
+      "entropy": 5.400073862075805,
+      "epoch": 4.328914664457332,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003565667589620739,
+      "loss": 5.0313,
+      "mean_token_accuracy": 0.18615816980600358,
+      "num_tokens": 9522387.0,
+      "step": 5225
+    },
+    {
+      "entropy": 5.380652332305909,
+      "epoch": 4.333057166528583,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003562688579442588,
+      "loss": 4.9582,
+      "mean_token_accuracy": 0.1893748164176941,
+      "num_tokens": 9531522.0,
+      "step": 5230
+    },
+    {
+      "entropy": 5.349949216842651,
+      "epoch": 4.337199668599834,
+      "grad_norm": 1.6171875,
+      "learning_rate": 0.00035597079299827625,
+      "loss": 4.9875,
+      "mean_token_accuracy": 0.18508986830711366,
+      "num_tokens": 9540248.0,
+      "step": 5235
+    },
+    {
+      "entropy": 5.3083008289337155,
+      "epoch": 4.341342170671085,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035567256472535585,
+      "loss": 4.9192,
+      "mean_token_accuracy": 0.19538334757089615,
+      "num_tokens": 9549850.0,
+      "step": 5240
+    },
+    {
+      "entropy": 5.325525283813477,
+      "epoch": 4.345484672742336,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003553741737270566,
+      "loss": 4.9167,
+      "mean_token_accuracy": 0.19581695050001144,
+      "num_tokens": 9558929.0,
+      "step": 5245
+    },
+    {
+      "entropy": 5.291470670700074,
+      "epoch": 4.3496271748135875,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00035507562060526574,
+      "loss": 4.9163,
+      "mean_token_accuracy": 0.19085376411676408,
+      "num_tokens": 9567627.0,
+      "step": 5250
+    },
+    {
+      "entropy": 5.419774055480957,
+      "epoch": 4.353769676884839,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035477690596219763,
+      "loss": 5.0513,
+      "mean_token_accuracy": 0.18172826021909713,
+      "num_tokens": 9576223.0,
+      "step": 5255
+    },
+    {
+      "entropy": 5.422041416168213,
+      "epoch": 4.35791217895609,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00035447803040039225,
+      "loss": 5.0178,
+      "mean_token_accuracy": 0.1885324940085411,
+      "num_tokens": 9585510.0,
+      "step": 5260
+    },
+    {
+      "entropy": 5.344962453842163,
+      "epoch": 4.362054681027341,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003541789945227143,
+      "loss": 4.9361,
+      "mean_token_accuracy": 0.1920488640666008,
+      "num_tokens": 9594843.0,
+      "step": 5265
+    },
+    {
+      "entropy": 5.401527786254883,
+      "epoch": 4.366197183098592,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00035387979893235184,
+      "loss": 4.9467,
+      "mean_token_accuracy": 0.19816664457321168,
+      "num_tokens": 9604142.0,
+      "step": 5270
+    },
+    {
+      "entropy": 5.339557313919068,
+      "epoch": 4.370339685169842,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003535804442328151,
+      "loss": 4.994,
+      "mean_token_accuracy": 0.197935588657856,
+      "num_tokens": 9613669.0,
+      "step": 5275
+    },
+    {
+      "entropy": 5.395236444473267,
+      "epoch": 4.374482187241093,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00035328093102793506,
+      "loss": 4.9843,
+      "mean_token_accuracy": 0.19234263002872468,
+      "num_tokens": 9623502.0,
+      "step": 5280
+    },
+    {
+      "entropy": 5.377492380142212,
+      "epoch": 4.378624689312344,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035298125992186283,
+      "loss": 4.9784,
+      "mean_token_accuracy": 0.1910512089729309,
+      "num_tokens": 9632041.0,
+      "step": 5285
+    },
+    {
+      "entropy": 5.310422706604004,
+      "epoch": 4.3827671913835955,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00035268143151906764,
+      "loss": 4.9853,
+      "mean_token_accuracy": 0.18939480930566788,
+      "num_tokens": 9641442.0,
+      "step": 5290
+    },
+    {
+      "entropy": 5.356794643402099,
+      "epoch": 4.386909693454847,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00035238144642433616,
+      "loss": 4.956,
+      "mean_token_accuracy": 0.19045386761426925,
+      "num_tokens": 9650857.0,
+      "step": 5295
+    },
+    {
+      "entropy": 5.461606073379516,
+      "epoch": 4.391052195526098,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000352081305242771,
+      "loss": 4.9906,
+      "mean_token_accuracy": 0.1938766911625862,
+      "num_tokens": 9659173.0,
+      "step": 5300
+    },
+    {
+      "entropy": 5.355851411819458,
+      "epoch": 4.395194697597349,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035178100857978994,
+      "loss": 4.9344,
+      "mean_token_accuracy": 0.19574909955263137,
+      "num_tokens": 9668114.0,
+      "step": 5305
+    },
+    {
+      "entropy": 5.261717939376831,
+      "epoch": 4.3993371996686,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00035148055704112405,
+      "loss": 4.9927,
+      "mean_token_accuracy": 0.1930756837129593,
+      "num_tokens": 9676628.0,
+      "step": 5310
+    },
+    {
+      "entropy": 5.305881071090698,
+      "epoch": 4.403479701739851,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003511799512328168,
+      "loss": 4.8897,
+      "mean_token_accuracy": 0.19723279178142547,
+      "num_tokens": 9685801.0,
+      "step": 5315
+    },
+    {
+      "entropy": 5.3678816795349125,
+      "epoch": 4.407622203811102,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003508791917612232,
+      "loss": 4.9677,
+      "mean_token_accuracy": 0.18847441226243972,
+      "num_tokens": 9694237.0,
+      "step": 5320
+    },
+    {
+      "entropy": 5.357159948348999,
+      "epoch": 4.411764705882353,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00035057827923300785,
+      "loss": 4.887,
+      "mean_token_accuracy": 0.1993523895740509,
+      "num_tokens": 9701904.0,
+      "step": 5325
+    },
+    {
+      "entropy": 5.308569765090942,
+      "epoch": 4.415907207953604,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035027721425514414,
+      "loss": 4.8661,
+      "mean_token_accuracy": 0.20139306634664536,
+      "num_tokens": 9710784.0,
+      "step": 5330
+    },
+    {
+      "entropy": 5.310255718231201,
+      "epoch": 4.4200497100248555,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003499759974349131,
+      "loss": 4.9969,
+      "mean_token_accuracy": 0.19186950027942656,
+      "num_tokens": 9720452.0,
+      "step": 5335
+    },
+    {
+      "entropy": 5.335639381408692,
+      "epoch": 4.424192212096106,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00034967462937990194,
+      "loss": 4.9619,
+      "mean_token_accuracy": 0.18502581119537354,
+      "num_tokens": 9729122.0,
+      "step": 5340
+    },
+    {
+      "entropy": 5.414971780776978,
+      "epoch": 4.428334714167357,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000349373110698003,
+      "loss": 5.0216,
+      "mean_token_accuracy": 0.18420466929674148,
+      "num_tokens": 9738756.0,
+      "step": 5345
+    },
+    {
+      "entropy": 5.406450796127319,
+      "epoch": 4.432477216238608,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003490714419974124,
+      "loss": 5.0113,
+      "mean_token_accuracy": 0.1904602199792862,
+      "num_tokens": 9748547.0,
+      "step": 5350
+    },
+    {
+      "entropy": 5.358873558044434,
+      "epoch": 4.436619718309859,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034876962388662885,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.18162461519241332,
+      "num_tokens": 9758421.0,
+      "step": 5355
+    },
+    {
+      "entropy": 5.277571201324463,
+      "epoch": 4.44076222038111,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003484676569744525,
+      "loss": 4.8563,
+      "mean_token_accuracy": 0.19333565086126328,
+      "num_tokens": 9766855.0,
+      "step": 5360
+    },
+    {
+      "entropy": 5.348770189285278,
+      "epoch": 4.444904722452361,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003481655418699836,
+      "loss": 4.9589,
+      "mean_token_accuracy": 0.1960444375872612,
+      "num_tokens": 9776157.0,
+      "step": 5365
+    },
+    {
+      "entropy": 5.279411029815674,
+      "epoch": 4.449047224523612,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00034786327918262126,
+      "loss": 4.8489,
+      "mean_token_accuracy": 0.2087496116757393,
+      "num_tokens": 9784386.0,
+      "step": 5370
+    },
+    {
+      "entropy": 5.354473733901978,
+      "epoch": 4.4531897265948635,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00034756086952206255,
+      "loss": 4.9009,
+      "mean_token_accuracy": 0.1958460658788681,
+      "num_tokens": 9793838.0,
+      "step": 5375
+    },
+    {
+      "entropy": 5.353402185440063,
+      "epoch": 4.457332228666115,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003472583134983005,
+      "loss": 4.9971,
+      "mean_token_accuracy": 0.19221619367599488,
+      "num_tokens": 9802595.0,
+      "step": 5380
+    },
+    {
+      "entropy": 5.384884357452393,
+      "epoch": 4.461474730737366,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00034695561172162396,
+      "loss": 4.9775,
+      "mean_token_accuracy": 0.19024742841720582,
+      "num_tokens": 9811309.0,
+      "step": 5385
+    },
+    {
+      "entropy": 5.2829090595245365,
+      "epoch": 4.465617232808617,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00034665276480261526,
+      "loss": 4.9139,
+      "mean_token_accuracy": 0.1915873184800148,
+      "num_tokens": 9820327.0,
+      "step": 5390
+    },
+    {
+      "entropy": 5.351649951934815,
+      "epoch": 4.469759734879867,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003463497733521499,
+      "loss": 4.9852,
+      "mean_token_accuracy": 0.18354866653680801,
+      "num_tokens": 9829588.0,
+      "step": 5395
+    },
+    {
+      "entropy": 5.42580213546753,
+      "epoch": 4.473902236951118,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003460466379813947,
+      "loss": 4.9887,
+      "mean_token_accuracy": 0.18973219394683838,
+      "num_tokens": 9838548.0,
+      "step": 5400
+    },
+    {
+      "entropy": 5.335280847549439,
+      "epoch": 4.478044739022369,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003457433593018068,
+      "loss": 5.0018,
+      "mean_token_accuracy": 0.18838239908218385,
+      "num_tokens": 9847925.0,
+      "step": 5405
+    },
+    {
+      "entropy": 5.396121597290039,
+      "epoch": 4.48218724109362,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034543993792513243,
+      "loss": 5.0169,
+      "mean_token_accuracy": 0.18753209412097932,
+      "num_tokens": 9856839.0,
+      "step": 5410
+    },
+    {
+      "entropy": 5.37349534034729,
+      "epoch": 4.486329743164871,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003451363744634057,
+      "loss": 4.978,
+      "mean_token_accuracy": 0.19382779747247697,
+      "num_tokens": 9866519.0,
+      "step": 5415
+    },
+    {
+      "entropy": 5.430073976516724,
+      "epoch": 4.4904722452361225,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00034483266952894725,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.19110478311777115,
+      "num_tokens": 9876866.0,
+      "step": 5420
+    },
+    {
+      "entropy": 5.440963220596314,
+      "epoch": 4.494614747307374,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0003445288237343632,
+      "loss": 5.0042,
+      "mean_token_accuracy": 0.1870105817914009,
+      "num_tokens": 9884639.0,
+      "step": 5425
+    },
+    {
+      "entropy": 5.332541465759277,
+      "epoch": 4.498757249378625,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003442248376925436,
+      "loss": 4.9715,
+      "mean_token_accuracy": 0.1879585549235344,
+      "num_tokens": 9893819.0,
+      "step": 5430
+    },
+    {
+      "entropy": 5.251445341110229,
+      "epoch": 4.502899751449876,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00034392071201666167,
+      "loss": 4.9164,
+      "mean_token_accuracy": 0.19130610078573226,
+      "num_tokens": 9902419.0,
+      "step": 5435
+    },
+    {
+      "entropy": 5.390727472305298,
+      "epoch": 4.507042253521127,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000343616447320172,
+      "loss": 4.9565,
+      "mean_token_accuracy": 0.19780462980270386,
+      "num_tokens": 9912434.0,
+      "step": 5440
+    },
+    {
+      "entropy": 5.366470289230347,
+      "epoch": 4.511184755592378,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003433120442168097,
+      "loss": 4.9114,
+      "mean_token_accuracy": 0.193550705909729,
+      "num_tokens": 9921800.0,
+      "step": 5445
+    },
+    {
+      "entropy": 5.316132354736328,
+      "epoch": 4.515327257663629,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034300750332058924,
+      "loss": 4.9803,
+      "mean_token_accuracy": 0.18861733824014665,
+      "num_tokens": 9930863.0,
+      "step": 5450
+    },
+    {
+      "entropy": 5.340768337249756,
+      "epoch": 4.51946975973488,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003427028252458028,
+      "loss": 4.995,
+      "mean_token_accuracy": 0.1959969326853752,
+      "num_tokens": 9940524.0,
+      "step": 5455
+    },
+    {
+      "entropy": 5.398335361480713,
+      "epoch": 4.5236122618061305,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.0003423980106070194,
+      "loss": 4.98,
+      "mean_token_accuracy": 0.18993111699819565,
+      "num_tokens": 9948949.0,
+      "step": 5460
+    },
+    {
+      "entropy": 5.363409519195557,
+      "epoch": 4.527754763877382,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003420930600190834,
+      "loss": 5.0007,
+      "mean_token_accuracy": 0.18487946093082427,
+      "num_tokens": 9958154.0,
+      "step": 5465
+    },
+    {
+      "entropy": 5.353360748291015,
+      "epoch": 4.531897265948633,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003417879740971135,
+      "loss": 4.8917,
+      "mean_token_accuracy": 0.19643958359956742,
+      "num_tokens": 9967023.0,
+      "step": 5470
+    },
+    {
+      "entropy": 5.392623519897461,
+      "epoch": 4.536039768019884,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003414827534565014,
+      "loss": 4.9908,
+      "mean_token_accuracy": 0.18982938379049302,
+      "num_tokens": 9976596.0,
+      "step": 5475
+    },
+    {
+      "entropy": 5.358148193359375,
+      "epoch": 4.540182270091135,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00034117739871291036,
+      "loss": 4.8992,
+      "mean_token_accuracy": 0.19934887886047364,
+      "num_tokens": 9985330.0,
+      "step": 5480
+    },
+    {
+      "entropy": 5.35659613609314,
+      "epoch": 4.544324772162386,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00034087191048227445,
+      "loss": 5.032,
+      "mean_token_accuracy": 0.1861831620335579,
+      "num_tokens": 9996053.0,
+      "step": 5485
+    },
+    {
+      "entropy": 5.335864496231079,
+      "epoch": 4.548467274233637,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003405662893807967,
+      "loss": 4.9445,
+      "mean_token_accuracy": 0.1877502605319023,
+      "num_tokens": 10005517.0,
+      "step": 5490
+    },
+    {
+      "entropy": 5.389253044128418,
+      "epoch": 4.552609776304888,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003402605360249482,
+      "loss": 5.0416,
+      "mean_token_accuracy": 0.18830080330371857,
+      "num_tokens": 10014354.0,
+      "step": 5495
+    },
+    {
+      "entropy": 5.3128773212432865,
+      "epoch": 4.556752278376139,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000339954651031467,
+      "loss": 4.9238,
+      "mean_token_accuracy": 0.19178629368543626,
+      "num_tokens": 10023194.0,
+      "step": 5500
+    },
+    {
+      "epoch": 4.556752278376139,
+      "eval_entropy": 5.195640559898003,
+      "eval_loss": 5.80400276184082,
+      "eval_mean_token_accuracy": 0.15982486544323882,
+      "eval_num_tokens": 10023194.0,
+      "eval_runtime": 2.7416,
+      "eval_samples_per_second": 1366.696,
+      "eval_steps_per_second": 171.065,
+      "step": 5500
+    },
+    {
+      "entropy": 5.267048501968384,
+      "epoch": 4.5608947804473905,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00033964863501735647,
+      "loss": 4.9188,
+      "mean_token_accuracy": 0.19228280782699586,
+      "num_tokens": 10032490.0,
+      "step": 5505
+    },
+    {
+      "entropy": 5.392655229568481,
+      "epoch": 4.565037282518642,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00033934248859988453,
+      "loss": 4.9346,
+      "mean_token_accuracy": 0.19580908715724946,
+      "num_tokens": 10041613.0,
+      "step": 5510
+    },
+    {
+      "entropy": 5.262086534500122,
+      "epoch": 4.569179784589892,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003390362123965817,
+      "loss": 4.8733,
+      "mean_token_accuracy": 0.1911102056503296,
+      "num_tokens": 10050500.0,
+      "step": 5515
+    },
+    {
+      "entropy": 5.36342945098877,
+      "epoch": 4.573322286661144,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003387298070252407,
+      "loss": 4.9492,
+      "mean_token_accuracy": 0.1935834139585495,
+      "num_tokens": 10059650.0,
+      "step": 5520
+    },
+    {
+      "entropy": 5.337366104125977,
+      "epoch": 4.577464788732394,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003384232731039146,
+      "loss": 4.9844,
+      "mean_token_accuracy": 0.19709572941064835,
+      "num_tokens": 10067882.0,
+      "step": 5525
+    },
+    {
+      "entropy": 5.300627326965332,
+      "epoch": 4.581607290803645,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00033811661125091584,
+      "loss": 4.9253,
+      "mean_token_accuracy": 0.19670316576957703,
+      "num_tokens": 10077147.0,
+      "step": 5530
+    },
+    {
+      "entropy": 5.369974613189697,
+      "epoch": 4.585749792874896,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00033780982208481494,
+      "loss": 4.9829,
+      "mean_token_accuracy": 0.1897311642765999,
+      "num_tokens": 10086149.0,
+      "step": 5535
+    },
+    {
+      "entropy": 5.303711175918579,
+      "epoch": 4.589892294946147,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003375029062244392,
+      "loss": 4.9027,
+      "mean_token_accuracy": 0.20062701553106307,
+      "num_tokens": 10094997.0,
+      "step": 5540
+    },
+    {
+      "entropy": 5.461194086074829,
+      "epoch": 4.5940347970173985,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00033719586428887125,
+      "loss": 4.9635,
+      "mean_token_accuracy": 0.19236611425876618,
+      "num_tokens": 10103585.0,
+      "step": 5545
+    },
+    {
+      "entropy": 5.276572418212891,
+      "epoch": 4.59817729908865,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00033688869689744836,
+      "loss": 4.8715,
+      "mean_token_accuracy": 0.1956779330968857,
+      "num_tokens": 10113877.0,
+      "step": 5550
+    },
+    {
+      "entropy": 5.333914184570313,
+      "epoch": 4.602319801159901,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003365814046697608,
+      "loss": 4.9676,
+      "mean_token_accuracy": 0.1832288920879364,
+      "num_tokens": 10123127.0,
+      "step": 5555
+    },
+    {
+      "entropy": 5.39079098701477,
+      "epoch": 4.606462303231152,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003362739882256504,
+      "loss": 5.0347,
+      "mean_token_accuracy": 0.186669659614563,
+      "num_tokens": 10132301.0,
+      "step": 5560
+    },
+    {
+      "entropy": 5.369095230102539,
+      "epoch": 4.610604805302403,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0003359664481852099,
+      "loss": 5.0411,
+      "mean_token_accuracy": 0.18307175636291503,
+      "num_tokens": 10140985.0,
+      "step": 5565
+    },
+    {
+      "entropy": 5.309534072875977,
+      "epoch": 4.614747307373654,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00033565878516878103,
+      "loss": 4.9435,
+      "mean_token_accuracy": 0.186006298661232,
+      "num_tokens": 10149668.0,
+      "step": 5570
+    },
+    {
+      "entropy": 5.324404716491699,
+      "epoch": 4.618889809444905,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0003353509997969537,
+      "loss": 4.9982,
+      "mean_token_accuracy": 0.1883559986948967,
+      "num_tokens": 10158584.0,
+      "step": 5575
+    },
+    {
+      "entropy": 5.366722822189331,
+      "epoch": 4.623032311516155,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00033504309269056484,
+      "loss": 4.968,
+      "mean_token_accuracy": 0.19045166224241256,
+      "num_tokens": 10167657.0,
+      "step": 5580
+    },
+    {
+      "entropy": 5.274179601669312,
+      "epoch": 4.6271748135874065,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003347350644706965,
+      "loss": 4.8462,
+      "mean_token_accuracy": 0.1975993499159813,
+      "num_tokens": 10176657.0,
+      "step": 5585
+    },
+    {
+      "entropy": 5.3866353034973145,
+      "epoch": 4.631317315658658,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003344269157586754,
+      "loss": 4.9669,
+      "mean_token_accuracy": 0.19621438384056092,
+      "num_tokens": 10185132.0,
+      "step": 5590
+    },
+    {
+      "entropy": 5.304204607009888,
+      "epoch": 4.635459817729909,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00033411864717607114,
+      "loss": 4.8497,
+      "mean_token_accuracy": 0.19386404007673264,
+      "num_tokens": 10193428.0,
+      "step": 5595
+    },
+    {
+      "entropy": 5.324200677871704,
+      "epoch": 4.63960231980116,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0003338102593446951,
+      "loss": 5.0163,
+      "mean_token_accuracy": 0.18838184028863908,
+      "num_tokens": 10202549.0,
+      "step": 5600
+    },
+    {
+      "entropy": 5.341615533828735,
+      "epoch": 4.643744821872411,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00033350175288659925,
+      "loss": 4.8885,
+      "mean_token_accuracy": 0.1946927636861801,
+      "num_tokens": 10211161.0,
+      "step": 5605
+    },
+    {
+      "entropy": 5.309947538375854,
+      "epoch": 4.647887323943662,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00033319312842407483,
+      "loss": 4.9923,
+      "mean_token_accuracy": 0.18832400739192962,
+      "num_tokens": 10220988.0,
+      "step": 5610
+    },
+    {
+      "entropy": 5.2807288646698,
+      "epoch": 4.652029826014913,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003328843865796511,
+      "loss": 4.8873,
+      "mean_token_accuracy": 0.19748056083917617,
+      "num_tokens": 10229383.0,
+      "step": 5615
+    },
+    {
+      "entropy": 5.421126461029052,
+      "epoch": 4.656172328086164,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033257552797609426,
+      "loss": 4.9686,
+      "mean_token_accuracy": 0.18525946289300918,
+      "num_tokens": 10238622.0,
+      "step": 5620
+    },
+    {
+      "entropy": 5.506065034866333,
+      "epoch": 4.660314830157415,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00033226655323640553,
+      "loss": 5.0677,
+      "mean_token_accuracy": 0.18611674308776854,
+      "num_tokens": 10248201.0,
+      "step": 5625
+    },
+    {
+      "entropy": 5.445924186706543,
+      "epoch": 4.664457332228666,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000331957462983821,
+      "loss": 5.0837,
+      "mean_token_accuracy": 0.17612475752830506,
+      "num_tokens": 10258239.0,
+      "step": 5630
+    },
+    {
+      "entropy": 5.377671623229981,
+      "epoch": 4.668599834299917,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0003316482578418094,
+      "loss": 4.9675,
+      "mean_token_accuracy": 0.1935265153646469,
+      "num_tokens": 10266915.0,
+      "step": 5635
+    },
+    {
+      "entropy": 5.348722076416015,
+      "epoch": 4.672742336371169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00033133893843407126,
+      "loss": 5.0783,
+      "mean_token_accuracy": 0.18859633952379226,
+      "num_tokens": 10276826.0,
+      "step": 5640
+    },
+    {
+      "entropy": 5.327623510360718,
+      "epoch": 4.676884838442419,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00033102950538453776,
+      "loss": 4.9912,
+      "mean_token_accuracy": 0.19163501411676406,
+      "num_tokens": 10286041.0,
+      "step": 5645
+    },
+    {
+      "entropy": 5.367205619812012,
+      "epoch": 4.68102734051367,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00033071995931736897,
+      "loss": 5.0151,
+      "mean_token_accuracy": 0.19023409783840178,
+      "num_tokens": 10295258.0,
+      "step": 5650
+    },
+    {
+      "entropy": 5.404719638824463,
+      "epoch": 4.685169842584921,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00033041030085695323,
+      "loss": 4.9423,
+      "mean_token_accuracy": 0.19237637221813203,
+      "num_tokens": 10304726.0,
+      "step": 5655
+    },
+    {
+      "entropy": 5.34141435623169,
+      "epoch": 4.689312344656172,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003301005306279055,
+      "loss": 4.8745,
+      "mean_token_accuracy": 0.2018929526209831,
+      "num_tokens": 10312912.0,
+      "step": 5660
+    },
+    {
+      "entropy": 5.300086307525635,
+      "epoch": 4.693454846727423,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00032979064925506627,
+      "loss": 4.9743,
+      "mean_token_accuracy": 0.18896473944187164,
+      "num_tokens": 10322046.0,
+      "step": 5665
+    },
+    {
+      "entropy": 5.290521335601807,
+      "epoch": 4.697597348798674,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003294806573634999,
+      "loss": 4.9263,
+      "mean_token_accuracy": 0.206088125705719,
+      "num_tokens": 10331375.0,
+      "step": 5670
+    },
+    {
+      "entropy": 5.353716802597046,
+      "epoch": 4.7017398508699255,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003291705555784942,
+      "loss": 5.0624,
+      "mean_token_accuracy": 0.18850265592336654,
+      "num_tokens": 10341465.0,
+      "step": 5675
+    },
+    {
+      "entropy": 5.466339874267578,
+      "epoch": 4.705882352941177,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00032886034452555814,
+      "loss": 5.052,
+      "mean_token_accuracy": 0.18991907685995102,
+      "num_tokens": 10350137.0,
+      "step": 5680
+    },
+    {
+      "entropy": 5.3118266582489015,
+      "epoch": 4.710024855012428,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003285500248304214,
+      "loss": 4.9502,
+      "mean_token_accuracy": 0.1877942368388176,
+      "num_tokens": 10358666.0,
+      "step": 5685
+    },
+    {
+      "entropy": 5.319189500808716,
+      "epoch": 4.714167357083679,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003282395971190328,
+      "loss": 4.8375,
+      "mean_token_accuracy": 0.19829211980104447,
+      "num_tokens": 10366910.0,
+      "step": 5690
+    },
+    {
+      "entropy": 5.377291250228882,
+      "epoch": 4.71830985915493,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032792906201755876,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19080002307891847,
+      "num_tokens": 10376435.0,
+      "step": 5695
+    },
+    {
+      "entropy": 5.293179368972778,
+      "epoch": 4.72245236122618,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00032761842015238256,
+      "loss": 4.8965,
+      "mean_token_accuracy": 0.2024861231446266,
+      "num_tokens": 10384670.0,
+      "step": 5700
+    },
+    {
+      "entropy": 5.261117172241211,
+      "epoch": 4.726594863297431,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003273076721501029,
+      "loss": 4.8845,
+      "mean_token_accuracy": 0.1939824104309082,
+      "num_tokens": 10393731.0,
+      "step": 5705
+    },
+    {
+      "entropy": 5.386179351806641,
+      "epoch": 4.730737365368682,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003269968186375325,
+      "loss": 4.9916,
+      "mean_token_accuracy": 0.19829274713993073,
+      "num_tokens": 10402369.0,
+      "step": 5710
+    },
+    {
+      "entropy": 5.379951667785645,
+      "epoch": 4.7348798674399335,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003266858602416967,
+      "loss": 4.9801,
+      "mean_token_accuracy": 0.1936841771006584,
+      "num_tokens": 10411566.0,
+      "step": 5715
+    },
+    {
+      "entropy": 5.384341192245484,
+      "epoch": 4.739022369511185,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032637479758983255,
+      "loss": 5.0294,
+      "mean_token_accuracy": 0.18491634279489516,
+      "num_tokens": 10420086.0,
+      "step": 5720
+    },
+    {
+      "entropy": 5.409085655212403,
+      "epoch": 4.743164871582436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00032606363130938766,
+      "loss": 5.0704,
+      "mean_token_accuracy": 0.18897949457168578,
+      "num_tokens": 10429746.0,
+      "step": 5725
+    },
+    {
+      "entropy": 5.349277639389038,
+      "epoch": 4.747307373653687,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0003257523620280181,
+      "loss": 4.9498,
+      "mean_token_accuracy": 0.19129680693149567,
+      "num_tokens": 10438536.0,
+      "step": 5730
+    },
+    {
+      "entropy": 5.348873805999756,
+      "epoch": 4.751449875724938,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00032544099037358834,
+      "loss": 4.9497,
+      "mean_token_accuracy": 0.19692206382751465,
+      "num_tokens": 10447471.0,
+      "step": 5735
+    },
+    {
+      "entropy": 5.33362455368042,
+      "epoch": 4.755592377796189,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003251295169741688,
+      "loss": 4.962,
+      "mean_token_accuracy": 0.1995266228914261,
+      "num_tokens": 10457179.0,
+      "step": 5740
+    },
+    {
+      "entropy": 5.327010250091552,
+      "epoch": 4.75973487986744,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00032481794245803536,
+      "loss": 5.0295,
+      "mean_token_accuracy": 0.18461760133504868,
+      "num_tokens": 10466291.0,
+      "step": 5745
+    },
+    {
+      "entropy": 5.323912620544434,
+      "epoch": 4.763877381938691,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00032450626745366806,
+      "loss": 4.9102,
+      "mean_token_accuracy": 0.19402227252721788,
+      "num_tokens": 10475452.0,
+      "step": 5750
+    },
+    {
+      "entropy": 5.306818199157715,
+      "epoch": 4.768019884009942,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00032419449258974924,
+      "loss": 4.8753,
+      "mean_token_accuracy": 0.20045212656259537,
+      "num_tokens": 10484381.0,
+      "step": 5755
+    },
+    {
+      "entropy": 5.342190933227539,
+      "epoch": 4.7721623860811935,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000323882618495163,
+      "loss": 5.0665,
+      "mean_token_accuracy": 0.1831491023302078,
+      "num_tokens": 10495132.0,
+      "step": 5760
+    },
+    {
+      "entropy": 5.351349258422852,
+      "epoch": 4.776304888152444,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003235706457989934,
+      "loss": 5.0246,
+      "mean_token_accuracy": 0.1850237250328064,
+      "num_tokens": 10504519.0,
+      "step": 5765
+    },
+    {
+      "entropy": 5.387107896804809,
+      "epoch": 4.780447390223695,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032325857513052354,
+      "loss": 4.9654,
+      "mean_token_accuracy": 0.19212980419397355,
+      "num_tokens": 10513575.0,
+      "step": 5770
+    },
+    {
+      "entropy": 5.396086692810059,
+      "epoch": 4.784589892294946,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000322946407119234,
+      "loss": 5.0554,
+      "mean_token_accuracy": 0.18998173326253892,
+      "num_tokens": 10522148.0,
+      "step": 5775
+    },
+    {
+      "entropy": 5.361077404022216,
+      "epoch": 4.788732394366197,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032263414239480187,
+      "loss": 4.9891,
+      "mean_token_accuracy": 0.18589809089899062,
+      "num_tokens": 10531183.0,
+      "step": 5780
+    },
+    {
+      "entropy": 5.342947483062744,
+      "epoch": 4.792874896437448,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.000322321781587099,
+      "loss": 4.9298,
+      "mean_token_accuracy": 0.19391343146562576,
+      "num_tokens": 10540677.0,
+      "step": 5785
+    },
+    {
+      "entropy": 5.276329088211059,
+      "epoch": 4.797017398508699,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003220093253261915,
+      "loss": 4.9342,
+      "mean_token_accuracy": 0.18589555770158767,
+      "num_tokens": 10550009.0,
+      "step": 5790
+    },
+    {
+      "entropy": 5.315787076950073,
+      "epoch": 4.80115990057995,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003216967742423377,
+      "loss": 4.9621,
+      "mean_token_accuracy": 0.19312297254800798,
+      "num_tokens": 10559694.0,
+      "step": 5795
+    },
+    {
+      "entropy": 5.339448022842407,
+      "epoch": 4.8053024026512015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003213841289659872,
+      "loss": 4.9613,
+      "mean_token_accuracy": 0.20080769211053848,
+      "num_tokens": 10567965.0,
+      "step": 5800
+    },
+    {
+      "entropy": 5.312955284118653,
+      "epoch": 4.809444904722453,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003210713901277799,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.19690640568733214,
+      "num_tokens": 10577653.0,
+      "step": 5805
+    },
+    {
+      "entropy": 5.359428977966308,
+      "epoch": 4.813587406793704,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000320758558358544,
+      "loss": 4.9728,
+      "mean_token_accuracy": 0.18951950818300248,
+      "num_tokens": 10586903.0,
+      "step": 5810
+    },
+    {
+      "entropy": 5.302858638763428,
+      "epoch": 4.817729908864955,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003204456342892955,
+      "loss": 4.8829,
+      "mean_token_accuracy": 0.19500194638967513,
+      "num_tokens": 10595411.0,
+      "step": 5815
+    },
+    {
+      "entropy": 5.321697616577149,
+      "epoch": 4.821872410936205,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00032013261855123637,
+      "loss": 4.9475,
+      "mean_token_accuracy": 0.1907385230064392,
+      "num_tokens": 10604147.0,
+      "step": 5820
+    },
+    {
+      "entropy": 5.368891286849975,
+      "epoch": 4.826014913007457,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00031981951177575366,
+      "loss": 5.0445,
+      "mean_token_accuracy": 0.1850367307662964,
+      "num_tokens": 10614048.0,
+      "step": 5825
+    },
+    {
+      "entropy": 5.374803781509399,
+      "epoch": 4.830157415078707,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003195063145944178,
+      "loss": 5.0779,
+      "mean_token_accuracy": 0.18388603180646895,
+      "num_tokens": 10623399.0,
+      "step": 5830
+    },
+    {
+      "entropy": 5.389354228973389,
+      "epoch": 4.834299917149958,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003191930276389819,
+      "loss": 4.9183,
+      "mean_token_accuracy": 0.19506800919771194,
+      "num_tokens": 10632627.0,
+      "step": 5835
+    },
+    {
+      "entropy": 5.401239061355591,
+      "epoch": 4.838442419221209,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00031887965154137987,
+      "loss": 4.9726,
+      "mean_token_accuracy": 0.1816769301891327,
+      "num_tokens": 10641155.0,
+      "step": 5840
+    },
+    {
+      "entropy": 5.354168939590454,
+      "epoch": 4.8425849212924605,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003185661869337255,
+      "loss": 5.0118,
+      "mean_token_accuracy": 0.18452974855899812,
+      "num_tokens": 10649661.0,
+      "step": 5845
+    },
+    {
+      "entropy": 5.265790605545044,
+      "epoch": 4.846727423363712,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00031825263444831137,
+      "loss": 4.9151,
+      "mean_token_accuracy": 0.19235364347696304,
+      "num_tokens": 10658652.0,
+      "step": 5850
+    },
+    {
+      "entropy": 5.3790277481079105,
+      "epoch": 4.850869925434963,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003179389947176069,
+      "loss": 5.0445,
+      "mean_token_accuracy": 0.1886226385831833,
+      "num_tokens": 10668703.0,
+      "step": 5855
+    },
+    {
+      "entropy": 5.385872554779053,
+      "epoch": 4.855012427506214,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003176252683742578,
+      "loss": 4.9484,
+      "mean_token_accuracy": 0.19056980460882186,
+      "num_tokens": 10677740.0,
+      "step": 5860
+    },
+    {
+      "entropy": 5.347926044464112,
+      "epoch": 4.859154929577465,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003173114560510843,
+      "loss": 4.9447,
+      "mean_token_accuracy": 0.18929830342531204,
+      "num_tokens": 10686429.0,
+      "step": 5865
+    },
+    {
+      "entropy": 5.332098054885864,
+      "epoch": 4.863297431648716,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00031699755838108027,
+      "loss": 5.0442,
+      "mean_token_accuracy": 0.1941297546029091,
+      "num_tokens": 10696367.0,
+      "step": 5870
+    },
+    {
+      "entropy": 5.310936546325683,
+      "epoch": 4.867439933719967,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003166835759974115,
+      "loss": 4.9902,
+      "mean_token_accuracy": 0.1873769447207451,
+      "num_tokens": 10705712.0,
+      "step": 5875
+    },
+    {
+      "entropy": 5.371630382537842,
+      "epoch": 4.871582435791218,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031636950953341486,
+      "loss": 5.0345,
+      "mean_token_accuracy": 0.18638068735599517,
+      "num_tokens": 10715897.0,
+      "step": 5880
+    },
+    {
+      "entropy": 5.3334348678588865,
+      "epoch": 4.8757249378624685,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00031605535962259666,
+      "loss": 4.9268,
+      "mean_token_accuracy": 0.1887778237462044,
+      "num_tokens": 10724810.0,
+      "step": 5885
+    },
+    {
+      "entropy": 5.353308916091919,
+      "epoch": 4.87986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003157411268986316,
+      "loss": 4.9771,
+      "mean_token_accuracy": 0.1932398796081543,
+      "num_tokens": 10734661.0,
+      "step": 5890
+    },
+    {
+      "entropy": 5.287876415252685,
+      "epoch": 4.884009942004971,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003154268119953615,
+      "loss": 4.9586,
+      "mean_token_accuracy": 0.19356854259967804,
+      "num_tokens": 10743642.0,
+      "step": 5895
+    },
+    {
+      "entropy": 5.344345998764038,
+      "epoch": 4.888152444076222,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003151124155467938,
+      "loss": 4.9607,
+      "mean_token_accuracy": 0.19625648856163025,
+      "num_tokens": 10752812.0,
+      "step": 5900
+    },
+    {
+      "entropy": 5.3407337188720705,
+      "epoch": 4.892294946147473,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00031479793818710056,
+      "loss": 4.9983,
+      "mean_token_accuracy": 0.18306475579738618,
+      "num_tokens": 10762117.0,
+      "step": 5905
+    },
+    {
+      "entropy": 5.299752902984619,
+      "epoch": 4.896437448218724,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031448338055061685,
+      "loss": 4.9018,
+      "mean_token_accuracy": 0.19901909530162812,
+      "num_tokens": 10771515.0,
+      "step": 5910
+    },
+    {
+      "entropy": 5.309285831451416,
+      "epoch": 4.900579950289975,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00031416874327183994,
+      "loss": 4.9486,
+      "mean_token_accuracy": 0.19302618503570557,
+      "num_tokens": 10780610.0,
+      "step": 5915
+    },
+    {
+      "entropy": 5.22410569190979,
+      "epoch": 4.904722452361226,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031385402698542753,
+      "loss": 4.9151,
+      "mean_token_accuracy": 0.19276074767112733,
+      "num_tokens": 10789169.0,
+      "step": 5920
+    },
+    {
+      "entropy": 5.30161485671997,
+      "epoch": 4.908864954432477,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031353923232619674,
+      "loss": 4.9078,
+      "mean_token_accuracy": 0.19779694378376006,
+      "num_tokens": 10798636.0,
+      "step": 5925
+    },
+    {
+      "entropy": 5.3571271896362305,
+      "epoch": 4.9130074565037285,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003132243599291229,
+      "loss": 4.9753,
+      "mean_token_accuracy": 0.19644105434417725,
+      "num_tokens": 10808245.0,
+      "step": 5930
+    },
+    {
+      "entropy": 5.384200191497802,
+      "epoch": 4.91714995857498,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00031290941042933797,
+      "loss": 4.9679,
+      "mean_token_accuracy": 0.18787674605846405,
+      "num_tokens": 10817164.0,
+      "step": 5935
+    },
+    {
+      "entropy": 5.287544202804566,
+      "epoch": 4.92129246064623,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031259438446212953,
+      "loss": 5.0007,
+      "mean_token_accuracy": 0.18373542726039888,
+      "num_tokens": 10826098.0,
+      "step": 5940
+    },
+    {
+      "entropy": 5.33493857383728,
+      "epoch": 4.925434962717482,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00031227928266293933,
+      "loss": 5.0115,
+      "mean_token_accuracy": 0.18100205808877945,
+      "num_tokens": 10836427.0,
+      "step": 5945
+    },
+    {
+      "entropy": 5.345344829559326,
+      "epoch": 4.929577464788732,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00031196410566736215,
+      "loss": 4.9689,
+      "mean_token_accuracy": 0.19277302771806717,
+      "num_tokens": 10845804.0,
+      "step": 5950
+    },
+    {
+      "entropy": 5.3519449710845945,
+      "epoch": 4.933719966859983,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00031164885411114453,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.1908810630440712,
+      "num_tokens": 10855951.0,
+      "step": 5955
+    },
+    {
+      "entropy": 5.301464605331421,
+      "epoch": 4.937862468931234,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031133352863018315,
+      "loss": 5.079,
+      "mean_token_accuracy": 0.18923453092575074,
+      "num_tokens": 10865528.0,
+      "step": 5960
+    },
+    {
+      "entropy": 5.369193601608276,
+      "epoch": 4.942004971002485,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00031101812986052406,
+      "loss": 4.9936,
+      "mean_token_accuracy": 0.19839225262403487,
+      "num_tokens": 10874365.0,
+      "step": 5965
+    },
+    {
+      "entropy": 5.310976552963257,
+      "epoch": 4.9461474730737365,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00031070265843836107,
+      "loss": 4.9184,
+      "mean_token_accuracy": 0.1972976267337799,
+      "num_tokens": 10883034.0,
+      "step": 5970
+    },
+    {
+      "entropy": 5.323369884490967,
+      "epoch": 4.950289975144988,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003103871150000345,
+      "loss": 4.9768,
+      "mean_token_accuracy": 0.1961338758468628,
+      "num_tokens": 10892307.0,
+      "step": 5975
+    },
+    {
+      "entropy": 5.354686069488525,
+      "epoch": 4.954432477216239,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00031007150018202983,
+      "loss": 5.057,
+      "mean_token_accuracy": 0.18536237627267838,
+      "num_tokens": 10902074.0,
+      "step": 5980
+    },
+    {
+      "entropy": 5.372721862792969,
+      "epoch": 4.95857497928749,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00030975581462097673,
+      "loss": 4.8961,
+      "mean_token_accuracy": 0.19350670725107194,
+      "num_tokens": 10911205.0,
+      "step": 5985
+    },
+    {
+      "entropy": 5.278085422515869,
+      "epoch": 4.962717481358741,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00030944005895364754,
+      "loss": 4.9233,
+      "mean_token_accuracy": 0.19045489132404328,
+      "num_tokens": 10920371.0,
+      "step": 5990
+    },
+    {
+      "entropy": 5.219862222671509,
+      "epoch": 4.966859983429992,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00030912423381695584,
+      "loss": 4.9124,
+      "mean_token_accuracy": 0.20015972554683686,
+      "num_tokens": 10928741.0,
+      "step": 5995
+    },
+    {
+      "entropy": 5.3216063499450685,
+      "epoch": 4.971002485501243,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00030880833984795554,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.20140086114406586,
+      "num_tokens": 10938074.0,
+      "step": 6000
+    },
+    {
+      "epoch": 4.971002485501243,
+      "eval_entropy": 5.223882782942196,
+      "eval_loss": 5.772702217102051,
+      "eval_mean_token_accuracy": 0.16291698060437307,
+      "eval_num_tokens": 10938074.0,
+      "eval_runtime": 2.7438,
+      "eval_samples_per_second": 1365.624,
+      "eval_steps_per_second": 170.931,
+      "step": 6000
+    },
+    {
+      "entropy": 5.304221105575562,
+      "epoch": 4.975144987572493,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0003084923776838392,
+      "loss": 4.9428,
+      "mean_token_accuracy": 0.1906152918934822,
+      "num_tokens": 10946756.0,
+      "step": 6005
+    },
+    {
+      "entropy": 5.28564419746399,
+      "epoch": 4.9792874896437445,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00030817634796193705,
+      "loss": 4.9192,
+      "mean_token_accuracy": 0.19711493700742722,
+      "num_tokens": 10956313.0,
+      "step": 6010
+    },
+    {
+      "entropy": 5.420253419876099,
+      "epoch": 4.983429991714996,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00030786025131971555,
+      "loss": 4.9823,
+      "mean_token_accuracy": 0.19457563310861586,
+      "num_tokens": 10964333.0,
+      "step": 6015
+    },
+    {
+      "entropy": 5.329161500930786,
+      "epoch": 4.987572493786247,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003075440883947764,
+      "loss": 4.8999,
+      "mean_token_accuracy": 0.19664130955934525,
+      "num_tokens": 10974110.0,
+      "step": 6020
+    },
+    {
+      "entropy": 5.248602771759034,
+      "epoch": 4.991714995857498,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003072278598248544,
+      "loss": 4.9529,
+      "mean_token_accuracy": 0.19656815081834794,
+      "num_tokens": 10983186.0,
+      "step": 6025
+    },
+    {
+      "entropy": 5.307998704910278,
+      "epoch": 4.995857497928749,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00030691156624781734,
+      "loss": 4.9377,
+      "mean_token_accuracy": 0.19932860583066941,
+      "num_tokens": 10992244.0,
+      "step": 6030
+    },
+    {
+      "entropy": 5.353039836883545,
+      "epoch": 5.0,
+      "grad_norm": 1.8515625,
+      "learning_rate": 0.000306595208301664,
+      "loss": 4.927,
+      "mean_token_accuracy": 0.20540354549884796,
+      "num_tokens": 11000005.0,
+      "step": 6035
+    },
+    {
+      "entropy": 5.336960649490356,
+      "epoch": 5.004142502071251,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00030627878662452273,
+      "loss": 4.7717,
+      "mean_token_accuracy": 0.20522954761981965,
+      "num_tokens": 11009346.0,
+      "step": 6040
+    },
+    {
+      "entropy": 5.356115531921387,
+      "epoch": 5.008285004142502,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003059623018546508,
+      "loss": 4.7197,
+      "mean_token_accuracy": 0.2092713624238968,
+      "num_tokens": 11017844.0,
+      "step": 6045
+    },
+    {
+      "entropy": 5.362998294830322,
+      "epoch": 5.012427506213753,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003056457546304326,
+      "loss": 4.7531,
+      "mean_token_accuracy": 0.21363187432289124,
+      "num_tokens": 11026840.0,
+      "step": 6050
+    },
+    {
+      "entropy": 5.250718975067139,
+      "epoch": 5.016570008285004,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003053291455903782,
+      "loss": 4.7186,
+      "mean_token_accuracy": 0.2076275572180748,
+      "num_tokens": 11034906.0,
+      "step": 6055
+    },
+    {
+      "entropy": 5.263190746307373,
+      "epoch": 5.0207125103562555,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00030501247537312293,
+      "loss": 4.7802,
+      "mean_token_accuracy": 0.20651286244392394,
+      "num_tokens": 11044403.0,
+      "step": 6060
+    },
+    {
+      "entropy": 5.360515308380127,
+      "epoch": 5.024855012427507,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0003046957446174251,
+      "loss": 4.7387,
+      "mean_token_accuracy": 0.21264788061380385,
+      "num_tokens": 11052685.0,
+      "step": 6065
+    },
+    {
+      "entropy": 5.316996622085571,
+      "epoch": 5.028997514498757,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00030437895396216524,
+      "loss": 4.591,
+      "mean_token_accuracy": 0.21709324419498444,
+      "num_tokens": 11060830.0,
+      "step": 6070
+    },
+    {
+      "entropy": 5.315813970565796,
+      "epoch": 5.033140016570008,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.00030406210404634475,
+      "loss": 4.7708,
+      "mean_token_accuracy": 0.20373892933130264,
+      "num_tokens": 11070220.0,
+      "step": 6075
+    },
+    {
+      "entropy": 5.294347095489502,
+      "epoch": 5.037282518641259,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003037451955090846,
+      "loss": 4.6847,
+      "mean_token_accuracy": 0.20420003384351731,
+      "num_tokens": 11079171.0,
+      "step": 6080
+    },
+    {
+      "entropy": 5.297221279144287,
+      "epoch": 5.04142502071251,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00030342822898962377,
+      "loss": 4.7697,
+      "mean_token_accuracy": 0.20524269640445708,
+      "num_tokens": 11089205.0,
+      "step": 6085
+    },
+    {
+      "entropy": 5.273457336425781,
+      "epoch": 5.045567522783761,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003031112051273185,
+      "loss": 4.7429,
+      "mean_token_accuracy": 0.21156702935695648,
+      "num_tokens": 11098339.0,
+      "step": 6090
+    },
+    {
+      "entropy": 5.299424123764038,
+      "epoch": 5.049710024855012,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003027941245616405,
+      "loss": 4.6524,
+      "mean_token_accuracy": 0.21203886568546296,
+      "num_tokens": 11107218.0,
+      "step": 6095
+    },
+    {
+      "entropy": 5.3286974906921385,
+      "epoch": 5.0538525269262635,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003024769879321761,
+      "loss": 4.7702,
+      "mean_token_accuracy": 0.2051073744893074,
+      "num_tokens": 11116457.0,
+      "step": 6100
+    },
+    {
+      "entropy": 5.300696182250976,
+      "epoch": 5.057995028997515,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0003021597958786243,
+      "loss": 4.7449,
+      "mean_token_accuracy": 0.20762935131788254,
+      "num_tokens": 11124834.0,
+      "step": 6105
+    },
+    {
+      "entropy": 5.288244676589966,
+      "epoch": 5.062137531068766,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003018425490407962,
+      "loss": 4.76,
+      "mean_token_accuracy": 0.20868725776672364,
+      "num_tokens": 11133920.0,
+      "step": 6110
+    },
+    {
+      "entropy": 5.387529897689819,
+      "epoch": 5.066280033140017,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00030152524805861344,
+      "loss": 4.7597,
+      "mean_token_accuracy": 0.20800695270299913,
+      "num_tokens": 11143573.0,
+      "step": 6115
+    },
+    {
+      "entropy": 5.3629701137542725,
+      "epoch": 5.070422535211268,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00030120789357210667,
+      "loss": 4.8139,
+      "mean_token_accuracy": 0.20669919848442078,
+      "num_tokens": 11154255.0,
+      "step": 6120
+    },
+    {
+      "entropy": 5.300123262405395,
+      "epoch": 5.074565037282519,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00030089048622141453,
+      "loss": 4.7241,
+      "mean_token_accuracy": 0.2095050945878029,
+      "num_tokens": 11163306.0,
+      "step": 6125
+    },
+    {
+      "entropy": 5.368470001220703,
+      "epoch": 5.078707539353769,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00030057302664678243,
+      "loss": 4.7569,
+      "mean_token_accuracy": 0.20853464156389237,
+      "num_tokens": 11172763.0,
+      "step": 6130
+    },
+    {
+      "entropy": 5.33392744064331,
+      "epoch": 5.08285004142502,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00030025551548856105,
+      "loss": 4.7413,
+      "mean_token_accuracy": 0.20951523035764694,
+      "num_tokens": 11182196.0,
+      "step": 6135
+    },
+    {
+      "entropy": 5.287980794906616,
+      "epoch": 5.0869925434962715,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002999379533872051,
+      "loss": 4.7905,
+      "mean_token_accuracy": 0.19804110527038574,
+      "num_tokens": 11192462.0,
+      "step": 6140
+    },
+    {
+      "entropy": 5.281665325164795,
+      "epoch": 5.091135045567523,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002996203409832719,
+      "loss": 4.7519,
+      "mean_token_accuracy": 0.2107569918036461,
+      "num_tokens": 11201805.0,
+      "step": 6145
+    },
+    {
+      "entropy": 5.31660532951355,
+      "epoch": 5.095277547638774,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002993026789174205,
+      "loss": 4.7322,
+      "mean_token_accuracy": 0.21754502654075622,
+      "num_tokens": 11210114.0,
+      "step": 6150
+    },
+    {
+      "entropy": 5.335706996917724,
+      "epoch": 5.099420049710025,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002989849678304099,
+      "loss": 4.8147,
+      "mean_token_accuracy": 0.20241696387529373,
+      "num_tokens": 11219725.0,
+      "step": 6155
+    },
+    {
+      "entropy": 5.308135366439819,
+      "epoch": 5.103562551781276,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00029866720836309817,
+      "loss": 4.7283,
+      "mean_token_accuracy": 0.20736500322818757,
+      "num_tokens": 11228583.0,
+      "step": 6160
+    },
+    {
+      "entropy": 5.3292882442474365,
+      "epoch": 5.107705053852527,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00029834940115644086,
+      "loss": 4.7472,
+      "mean_token_accuracy": 0.20635622441768647,
+      "num_tokens": 11237787.0,
+      "step": 6165
+    },
+    {
+      "entropy": 5.2917111873626705,
+      "epoch": 5.111847555923778,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002980315468514898,
+      "loss": 4.7704,
+      "mean_token_accuracy": 0.20057149082422257,
+      "num_tokens": 11247136.0,
+      "step": 6170
+    },
+    {
+      "entropy": 5.239889097213745,
+      "epoch": 5.115990057995029,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00029771364608939196,
+      "loss": 4.6994,
+      "mean_token_accuracy": 0.20981708765029908,
+      "num_tokens": 11256931.0,
+      "step": 6175
+    },
+    {
+      "entropy": 5.272354030609131,
+      "epoch": 5.12013256006628,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002973956995113878,
+      "loss": 4.6811,
+      "mean_token_accuracy": 0.20489206910133362,
+      "num_tokens": 11266457.0,
+      "step": 6180
+    },
+    {
+      "entropy": 5.272558641433716,
+      "epoch": 5.1242750621375315,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.0002970777077588103,
+      "loss": 4.6443,
+      "mean_token_accuracy": 0.2170465260744095,
+      "num_tokens": 11274239.0,
+      "step": 6185
+    },
+    {
+      "entropy": 5.282349872589111,
+      "epoch": 5.128417564208782,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0002967596714730837,
+      "loss": 4.7752,
+      "mean_token_accuracy": 0.20363858938217164,
+      "num_tokens": 11283239.0,
+      "step": 6190
+    },
+    {
+      "entropy": 5.285331869125367,
+      "epoch": 5.132560066280033,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00029644159129572185,
+      "loss": 4.7121,
+      "mean_token_accuracy": 0.2075791761279106,
+      "num_tokens": 11291662.0,
+      "step": 6195
+    },
+    {
+      "entropy": 5.2614960193634035,
+      "epoch": 5.136702568351284,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002961234678683272,
+      "loss": 4.7453,
+      "mean_token_accuracy": 0.21309943348169327,
+      "num_tokens": 11300165.0,
+      "step": 6200
+    },
+    {
+      "entropy": 5.323043155670166,
+      "epoch": 5.140845070422535,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0002958053018325896,
+      "loss": 4.7132,
+      "mean_token_accuracy": 0.21612811386585234,
+      "num_tokens": 11309729.0,
+      "step": 6205
+    },
+    {
+      "entropy": 5.375712585449219,
+      "epoch": 5.144987572493786,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002954870938302846,
+      "loss": 4.7657,
+      "mean_token_accuracy": 0.2033802881836891,
+      "num_tokens": 11318674.0,
+      "step": 6210
+    },
+    {
+      "entropy": 5.292187595367432,
+      "epoch": 5.149130074565037,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002951688445032726,
+      "loss": 4.7309,
+      "mean_token_accuracy": 0.21144932359457017,
+      "num_tokens": 11327583.0,
+      "step": 6215
+    },
+    {
+      "entropy": 5.326848030090332,
+      "epoch": 5.153272576636288,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002948505544934971,
+      "loss": 4.7639,
+      "mean_token_accuracy": 0.2049189493060112,
+      "num_tokens": 11338132.0,
+      "step": 6220
+    },
+    {
+      "entropy": 5.31851224899292,
+      "epoch": 5.1574150787075395,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000294532224442984,
+      "loss": 4.7911,
+      "mean_token_accuracy": 0.20397177040576936,
+      "num_tokens": 11347210.0,
+      "step": 6225
+    },
+    {
+      "entropy": 5.275168132781983,
+      "epoch": 5.161557580778791,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00029421385499383976,
+      "loss": 4.6742,
+      "mean_token_accuracy": 0.22349916100502015,
+      "num_tokens": 11355479.0,
+      "step": 6230
+    },
+    {
+      "entropy": 5.348278999328613,
+      "epoch": 5.165700082850042,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00029389544678825035,
+      "loss": 4.8403,
+      "mean_token_accuracy": 0.19372698813676834,
+      "num_tokens": 11364518.0,
+      "step": 6235
+    },
+    {
+      "entropy": 5.247139596939087,
+      "epoch": 5.169842584921293,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00029357700046847985,
+      "loss": 4.737,
+      "mean_token_accuracy": 0.2046540141105652,
+      "num_tokens": 11373589.0,
+      "step": 6240
+    },
+    {
+      "entropy": 5.368101263046265,
+      "epoch": 5.173985086992544,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002932585166768694,
+      "loss": 4.7938,
+      "mean_token_accuracy": 0.20394597351551055,
+      "num_tokens": 11383209.0,
+      "step": 6245
+    },
+    {
+      "entropy": 5.315500497817993,
+      "epoch": 5.178127589063794,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00029293999605583545,
+      "loss": 4.7294,
+      "mean_token_accuracy": 0.20444581657648087,
+      "num_tokens": 11392012.0,
+      "step": 6250
+    },
+    {
+      "entropy": 5.282355690002442,
+      "epoch": 5.182270091135045,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00029262143924786905,
+      "loss": 4.7761,
+      "mean_token_accuracy": 0.20456164181232453,
+      "num_tokens": 11400489.0,
+      "step": 6255
+    },
+    {
+      "entropy": 5.2667319774627686,
+      "epoch": 5.186412593206296,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00029230284689553404,
+      "loss": 4.6817,
+      "mean_token_accuracy": 0.21175160706043245,
+      "num_tokens": 11409337.0,
+      "step": 6260
+    },
+    {
+      "entropy": 5.286681175231934,
+      "epoch": 5.190555095277547,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00029198421964146605,
+      "loss": 4.7382,
+      "mean_token_accuracy": 0.21787525415420533,
+      "num_tokens": 11418650.0,
+      "step": 6265
+    },
+    {
+      "entropy": 5.2383523941040036,
+      "epoch": 5.1946975973487985,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002916655581283709,
+      "loss": 4.747,
+      "mean_token_accuracy": 0.20590767711400987,
+      "num_tokens": 11427516.0,
+      "step": 6270
+    },
+    {
+      "entropy": 5.225810289382935,
+      "epoch": 5.19884009942005,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00029134686299902397,
+      "loss": 4.7223,
+      "mean_token_accuracy": 0.20668105334043502,
+      "num_tokens": 11435676.0,
+      "step": 6275
+    },
+    {
+      "entropy": 5.336339044570923,
+      "epoch": 5.202982601491301,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002910281348962679,
+      "loss": 4.7825,
+      "mean_token_accuracy": 0.1937339723110199,
+      "num_tokens": 11444520.0,
+      "step": 6280
+    },
+    {
+      "entropy": 5.342389440536499,
+      "epoch": 5.207125103562552,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00029070937446301225,
+      "loss": 4.7611,
+      "mean_token_accuracy": 0.20350439995527267,
+      "num_tokens": 11453759.0,
+      "step": 6285
+    },
+    {
+      "entropy": 5.377904796600342,
+      "epoch": 5.211267605633803,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002903905823422317,
+      "loss": 4.9078,
+      "mean_token_accuracy": 0.1901518851518631,
+      "num_tokens": 11463409.0,
+      "step": 6290
+    },
+    {
+      "entropy": 5.323945093154907,
+      "epoch": 5.215410107705054,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002900717591769646,
+      "loss": 4.7966,
+      "mean_token_accuracy": 0.20510322898626326,
+      "num_tokens": 11473440.0,
+      "step": 6295
+    },
+    {
+      "entropy": 5.27484130859375,
+      "epoch": 5.219552609776305,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002897529056103122,
+      "loss": 4.6336,
+      "mean_token_accuracy": 0.2183629482984543,
+      "num_tokens": 11482353.0,
+      "step": 6300
+    },
+    {
+      "entropy": 5.297479438781738,
+      "epoch": 5.223695111847556,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002894340222854371,
+      "loss": 4.7712,
+      "mean_token_accuracy": 0.20640946179628372,
+      "num_tokens": 11491331.0,
+      "step": 6305
+    },
+    {
+      "entropy": 5.215849542617798,
+      "epoch": 5.2278376139188065,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002891151098455617,
+      "loss": 4.7107,
+      "mean_token_accuracy": 0.20350281596183778,
+      "num_tokens": 11500553.0,
+      "step": 6310
+    },
+    {
+      "entropy": 5.170541191101075,
+      "epoch": 5.231980115990058,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002887961689339672,
+      "loss": 4.6526,
+      "mean_token_accuracy": 0.21051572561264037,
+      "num_tokens": 11509146.0,
+      "step": 6315
+    },
+    {
+      "entropy": 5.332199335098267,
+      "epoch": 5.236122618061309,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002884772001939924,
+      "loss": 4.7771,
+      "mean_token_accuracy": 0.20190449655056,
+      "num_tokens": 11518172.0,
+      "step": 6320
+    },
+    {
+      "entropy": 5.30375485420227,
+      "epoch": 5.24026512013256,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000288158204269032,
+      "loss": 4.7764,
+      "mean_token_accuracy": 0.19927115142345428,
+      "num_tokens": 11527291.0,
+      "step": 6325
+    },
+    {
+      "entropy": 5.285002279281616,
+      "epoch": 5.244407622203811,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00028783918180253567,
+      "loss": 4.7763,
+      "mean_token_accuracy": 0.20877851247787477,
+      "num_tokens": 11536306.0,
+      "step": 6330
+    },
+    {
+      "entropy": 5.325639486312866,
+      "epoch": 5.248550124275062,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002875201334380066,
+      "loss": 4.801,
+      "mean_token_accuracy": 0.20768691897392272,
+      "num_tokens": 11545879.0,
+      "step": 6335
+    },
+    {
+      "entropy": 5.260626125335693,
+      "epoch": 5.252692626346313,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002872010598190002,
+      "loss": 4.7203,
+      "mean_token_accuracy": 0.21331494748592378,
+      "num_tokens": 11555067.0,
+      "step": 6340
+    },
+    {
+      "entropy": 5.273142910003662,
+      "epoch": 5.256835128417564,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002868819615891229,
+      "loss": 4.699,
+      "mean_token_accuracy": 0.211579430103302,
+      "num_tokens": 11563419.0,
+      "step": 6345
+    },
+    {
+      "entropy": 5.256633758544922,
+      "epoch": 5.260977630488815,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002865628393920305,
+      "loss": 4.7696,
+      "mean_token_accuracy": 0.207663132250309,
+      "num_tokens": 11573018.0,
+      "step": 6350
+    },
+    {
+      "entropy": 5.237578821182251,
+      "epoch": 5.2651201325600665,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.0002862436938714276,
+      "loss": 4.7003,
+      "mean_token_accuracy": 0.20862672179937364,
+      "num_tokens": 11581996.0,
+      "step": 6355
+    },
+    {
+      "entropy": 5.355519008636475,
+      "epoch": 5.269262634631318,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002859245256710654,
+      "loss": 4.7534,
+      "mean_token_accuracy": 0.20775581747293473,
+      "num_tokens": 11591706.0,
+      "step": 6360
+    },
+    {
+      "entropy": 5.319948673248291,
+      "epoch": 5.273405136702569,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002856053354347411,
+      "loss": 4.7813,
+      "mean_token_accuracy": 0.2074725329875946,
+      "num_tokens": 11600616.0,
+      "step": 6365
+    },
+    {
+      "entropy": 5.243834018707275,
+      "epoch": 5.27754763877382,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002852861238062963,
+      "loss": 4.6584,
+      "mean_token_accuracy": 0.21568063348531724,
+      "num_tokens": 11609650.0,
+      "step": 6370
+    },
+    {
+      "entropy": 5.26465950012207,
+      "epoch": 5.28169014084507,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002849668914296157,
+      "loss": 4.6998,
+      "mean_token_accuracy": 0.21142313480377198,
+      "num_tokens": 11618785.0,
+      "step": 6375
+    },
+    {
+      "entropy": 5.305418300628662,
+      "epoch": 5.285832642916321,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000284647638948626,
+      "loss": 4.7576,
+      "mean_token_accuracy": 0.20556087791919708,
+      "num_tokens": 11628089.0,
+      "step": 6380
+    },
+    {
+      "entropy": 5.268257570266724,
+      "epoch": 5.289975144987572,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002843283670072942,
+      "loss": 4.8658,
+      "mean_token_accuracy": 0.19545172303915023,
+      "num_tokens": 11636954.0,
+      "step": 6385
+    },
+    {
+      "entropy": 5.275126600265503,
+      "epoch": 5.294117647058823,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0002840090762496268,
+      "loss": 4.7803,
+      "mean_token_accuracy": 0.20498874336481093,
+      "num_tokens": 11646719.0,
+      "step": 6390
+    },
+    {
+      "entropy": 5.340854024887085,
+      "epoch": 5.2982601491300745,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002836897673196681,
+      "loss": 4.7015,
+      "mean_token_accuracy": 0.20719585418701172,
+      "num_tokens": 11655589.0,
+      "step": 6395
+    },
+    {
+      "entropy": 5.227226972579956,
+      "epoch": 5.302402651201326,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00028337044086149913,
+      "loss": 4.7283,
+      "mean_token_accuracy": 0.20560554265975953,
+      "num_tokens": 11663703.0,
+      "step": 6400
+    },
+    {
+      "entropy": 5.296469211578369,
+      "epoch": 5.306545153272577,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00028305109751923616,
+      "loss": 4.8177,
+      "mean_token_accuracy": 0.20388006865978242,
+      "num_tokens": 11672643.0,
+      "step": 6405
+    },
+    {
+      "entropy": 5.270711994171142,
+      "epoch": 5.310687655343828,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00028273173793702967,
+      "loss": 4.673,
+      "mean_token_accuracy": 0.2078327417373657,
+      "num_tokens": 11681449.0,
+      "step": 6410
+    },
+    {
+      "entropy": 5.301759338378906,
+      "epoch": 5.314830157415079,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002824123627590629,
+      "loss": 4.7568,
+      "mean_token_accuracy": 0.19922166019678117,
+      "num_tokens": 11690820.0,
+      "step": 6415
+    },
+    {
+      "entropy": 5.291653823852539,
+      "epoch": 5.31897265948633,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002820929726295504,
+      "loss": 4.7858,
+      "mean_token_accuracy": 0.2068773627281189,
+      "num_tokens": 11699705.0,
+      "step": 6420
+    },
+    {
+      "entropy": 5.257635831832886,
+      "epoch": 5.323115161557581,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002817735681927371,
+      "loss": 4.7267,
+      "mean_token_accuracy": 0.21190525144338607,
+      "num_tokens": 11709417.0,
+      "step": 6425
+    },
+    {
+      "entropy": 5.305531692504883,
+      "epoch": 5.327257663628831,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00028145415009289644,
+      "loss": 4.7662,
+      "mean_token_accuracy": 0.2035451725125313,
+      "num_tokens": 11718661.0,
+      "step": 6430
+    },
+    {
+      "entropy": 5.240819025039673,
+      "epoch": 5.3314001657000825,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002811347189743297,
+      "loss": 4.7448,
+      "mean_token_accuracy": 0.21049206256866454,
+      "num_tokens": 11727568.0,
+      "step": 6435
+    },
+    {
+      "entropy": 5.250747394561768,
+      "epoch": 5.335542667771334,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00028081527548136446,
+      "loss": 4.6853,
+      "mean_token_accuracy": 0.2216053858399391,
+      "num_tokens": 11736615.0,
+      "step": 6440
+    },
+    {
+      "entropy": 5.348236608505249,
+      "epoch": 5.339685169842585,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002804958202583531,
+      "loss": 4.8181,
+      "mean_token_accuracy": 0.19986798763275146,
+      "num_tokens": 11747458.0,
+      "step": 6445
+    },
+    {
+      "entropy": 5.277511358261108,
+      "epoch": 5.343827671913836,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002801763539496718,
+      "loss": 4.7878,
+      "mean_token_accuracy": 0.2081502467393875,
+      "num_tokens": 11756279.0,
+      "step": 6450
+    },
+    {
+      "entropy": 5.279990530014038,
+      "epoch": 5.347970173985087,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002798568771997188,
+      "loss": 4.7942,
+      "mean_token_accuracy": 0.2071585923433304,
+      "num_tokens": 11765022.0,
+      "step": 6455
+    },
+    {
+      "entropy": 5.2339942932128904,
+      "epoch": 5.352112676056338,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002795373906529137,
+      "loss": 4.7376,
+      "mean_token_accuracy": 0.20560838282108307,
+      "num_tokens": 11774704.0,
+      "step": 6460
+    },
+    {
+      "entropy": 5.248803615570068,
+      "epoch": 5.356255178127589,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002792178949536959,
+      "loss": 4.6784,
+      "mean_token_accuracy": 0.21611350923776626,
+      "num_tokens": 11782309.0,
+      "step": 6465
+    },
+    {
+      "entropy": 5.28652811050415,
+      "epoch": 5.36039768019884,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000278898390746523,
+      "loss": 4.7467,
+      "mean_token_accuracy": 0.20095686316490174,
+      "num_tokens": 11792595.0,
+      "step": 6470
+    },
+    {
+      "entropy": 5.2047077178955075,
+      "epoch": 5.364540182270091,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00027857887867587005,
+      "loss": 4.7269,
+      "mean_token_accuracy": 0.21140239089727403,
+      "num_tokens": 11801536.0,
+      "step": 6475
+    },
+    {
+      "entropy": 5.271708583831787,
+      "epoch": 5.368682684341342,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002782593593862276,
+      "loss": 4.8229,
+      "mean_token_accuracy": 0.19779271334409715,
+      "num_tokens": 11810222.0,
+      "step": 6480
+    },
+    {
+      "entropy": 5.317666244506836,
+      "epoch": 5.3728251864125935,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002779398335221011,
+      "loss": 4.8066,
+      "mean_token_accuracy": 0.20721431225538253,
+      "num_tokens": 11819310.0,
+      "step": 6485
+    },
+    {
+      "entropy": 5.305458688735962,
+      "epoch": 5.376967688483845,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.0002776203017280092,
+      "loss": 4.7703,
+      "mean_token_accuracy": 0.19982181042432784,
+      "num_tokens": 11827916.0,
+      "step": 6490
+    },
+    {
+      "entropy": 5.217341518402099,
+      "epoch": 5.381110190555095,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00027730076464848225,
+      "loss": 4.7654,
+      "mean_token_accuracy": 0.20862893313169478,
+      "num_tokens": 11836770.0,
+      "step": 6495
+    },
+    {
+      "entropy": 5.276216888427735,
+      "epoch": 5.385252692626346,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00027698122292806174,
+      "loss": 4.7006,
+      "mean_token_accuracy": 0.21164953708648682,
+      "num_tokens": 11845917.0,
+      "step": 6500
+    },
+    {
+      "epoch": 5.385252692626346,
+      "eval_entropy": 5.213927641097925,
+      "eval_loss": 5.769200801849365,
+      "eval_mean_token_accuracy": 0.16407465213524508,
+      "eval_num_tokens": 11845917.0,
+      "eval_runtime": 2.9494,
+      "eval_samples_per_second": 1270.426,
+      "eval_steps_per_second": 159.015,
+      "step": 6500
+    },
+    {
+      "entropy": 5.290333843231201,
+      "epoch": 5.389395194697597,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.000276661677211298,
+      "loss": 4.7403,
+      "mean_token_accuracy": 0.20341738760471345,
+      "num_tokens": 11855118.0,
+      "step": 6505
+    },
+    {
+      "entropy": 5.278094148635864,
+      "epoch": 5.393537696768848,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002763421281427497,
+      "loss": 4.6794,
+      "mean_token_accuracy": 0.21257141679525376,
+      "num_tokens": 11863793.0,
+      "step": 6510
+    },
+    {
+      "entropy": 5.368717813491822,
+      "epoch": 5.397680198840099,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002760225763669823,
+      "loss": 4.8171,
+      "mean_token_accuracy": 0.197501078248024,
+      "num_tokens": 11873194.0,
+      "step": 6515
+    },
+    {
+      "entropy": 5.341726636886596,
+      "epoch": 5.40182270091135,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00027570302252856666,
+      "loss": 4.7747,
+      "mean_token_accuracy": 0.20519590526819229,
+      "num_tokens": 11882566.0,
+      "step": 6520
+    },
+    {
+      "entropy": 5.2676441192626955,
+      "epoch": 5.4059652029826015,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00027538346727207767,
+      "loss": 4.7475,
+      "mean_token_accuracy": 0.21314287781715394,
+      "num_tokens": 11892267.0,
+      "step": 6525
+    },
+    {
+      "entropy": 5.272220420837402,
+      "epoch": 5.410107705053853,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002750639112420934,
+      "loss": 4.7716,
+      "mean_token_accuracy": 0.21124217808246612,
+      "num_tokens": 11901440.0,
+      "step": 6530
+    },
+    {
+      "entropy": 5.270874547958374,
+      "epoch": 5.414250207125104,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00027474435508319304,
+      "loss": 4.8396,
+      "mean_token_accuracy": 0.20556266158819197,
+      "num_tokens": 11911259.0,
+      "step": 6535
+    },
+    {
+      "entropy": 5.265343093872071,
+      "epoch": 5.418392709196355,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00027442479943995645,
+      "loss": 4.7941,
+      "mean_token_accuracy": 0.2035036563873291,
+      "num_tokens": 11920467.0,
+      "step": 6540
+    },
+    {
+      "entropy": 5.283535575866699,
+      "epoch": 5.422535211267606,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002741052449569624,
+      "loss": 4.8089,
+      "mean_token_accuracy": 0.19865555614233016,
+      "num_tokens": 11929971.0,
+      "step": 6545
+    },
+    {
+      "entropy": 5.330445003509522,
+      "epoch": 5.426677713338857,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002737856922787869,
+      "loss": 4.8088,
+      "mean_token_accuracy": 0.19926221221685408,
+      "num_tokens": 11938585.0,
+      "step": 6550
+    },
+    {
+      "entropy": 5.301173543930053,
+      "epoch": 5.430820215410108,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027346614205000277,
+      "loss": 4.7884,
+      "mean_token_accuracy": 0.20320066064596176,
+      "num_tokens": 11948264.0,
+      "step": 6555
+    },
+    {
+      "entropy": 5.329202175140381,
+      "epoch": 5.434962717481358,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00027314659491517777,
+      "loss": 4.7827,
+      "mean_token_accuracy": 0.2079697236418724,
+      "num_tokens": 11958459.0,
+      "step": 6560
+    },
+    {
+      "entropy": 5.296626996994019,
+      "epoch": 5.4391052195526095,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002728270515188733,
+      "loss": 4.7728,
+      "mean_token_accuracy": 0.20527158677577972,
+      "num_tokens": 11967994.0,
+      "step": 6565
+    },
+    {
+      "entropy": 5.325187683105469,
+      "epoch": 5.443247721623861,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002725075125056435,
+      "loss": 4.8235,
+      "mean_token_accuracy": 0.21111733317375184,
+      "num_tokens": 11976564.0,
+      "step": 6570
+    },
+    {
+      "entropy": 5.296580266952515,
+      "epoch": 5.447390223695112,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002721879785200333,
+      "loss": 4.7541,
+      "mean_token_accuracy": 0.21026979386806488,
+      "num_tokens": 11985682.0,
+      "step": 6575
+    },
+    {
+      "entropy": 5.34701886177063,
+      "epoch": 5.451532725766363,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002718684502065777,
+      "loss": 4.8138,
+      "mean_token_accuracy": 0.20367322415113448,
+      "num_tokens": 11995098.0,
+      "step": 6580
+    },
+    {
+      "entropy": 5.3261590003967285,
+      "epoch": 5.455675227837614,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00027154892820980024,
+      "loss": 4.8096,
+      "mean_token_accuracy": 0.206008443236351,
+      "num_tokens": 12004538.0,
+      "step": 6585
+    },
+    {
+      "entropy": 5.262662792205811,
+      "epoch": 5.459817729908865,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00027122941317421175,
+      "loss": 4.741,
+      "mean_token_accuracy": 0.21086378544569015,
+      "num_tokens": 12012568.0,
+      "step": 6590
+    },
+    {
+      "entropy": 5.287980222702027,
+      "epoch": 5.463960231980116,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000270909905744309,
+      "loss": 4.776,
+      "mean_token_accuracy": 0.20741475820541383,
+      "num_tokens": 12021934.0,
+      "step": 6595
+    },
+    {
+      "entropy": 5.313226222991943,
+      "epoch": 5.468102734051367,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00027059040656457316,
+      "loss": 4.8104,
+      "mean_token_accuracy": 0.2010733589529991,
+      "num_tokens": 12031158.0,
+      "step": 6600
+    },
+    {
+      "entropy": 5.3314722061157225,
+      "epoch": 5.472245236122618,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002702709162794692,
+      "loss": 4.8078,
+      "mean_token_accuracy": 0.20088913142681122,
+      "num_tokens": 12040392.0,
+      "step": 6605
+    },
+    {
+      "entropy": 5.248980331420898,
+      "epoch": 5.4763877381938695,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00026995143553344394,
+      "loss": 4.6481,
+      "mean_token_accuracy": 0.21935920119285585,
+      "num_tokens": 12048412.0,
+      "step": 6610
+    },
+    {
+      "entropy": 5.258455896377564,
+      "epoch": 5.48053024026512,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00026963196497092483,
+      "loss": 4.7625,
+      "mean_token_accuracy": 0.20619691014289857,
+      "num_tokens": 12057681.0,
+      "step": 6615
+    },
+    {
+      "entropy": 5.290913534164429,
+      "epoch": 5.484672742336371,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00026931250523631905,
+      "loss": 4.7451,
+      "mean_token_accuracy": 0.20713003873825073,
+      "num_tokens": 12066243.0,
+      "step": 6620
+    },
+    {
+      "entropy": 5.215484523773194,
+      "epoch": 5.488815244407622,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026899305697401175,
+      "loss": 4.7545,
+      "mean_token_accuracy": 0.20806889086961747,
+      "num_tokens": 12075312.0,
+      "step": 6625
+    },
+    {
+      "entropy": 5.231590509414673,
+      "epoch": 5.492957746478873,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002686736208283649,
+      "loss": 4.7629,
+      "mean_token_accuracy": 0.20990005433559417,
+      "num_tokens": 12083990.0,
+      "step": 6630
+    },
+    {
+      "entropy": 5.376721620559692,
+      "epoch": 5.497100248550124,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00026835419744371627,
+      "loss": 4.8732,
+      "mean_token_accuracy": 0.19839346706867217,
+      "num_tokens": 12093301.0,
+      "step": 6635
+    },
+    {
+      "entropy": 5.241463851928711,
+      "epoch": 5.501242750621375,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002680347874643775,
+      "loss": 4.6882,
+      "mean_token_accuracy": 0.21418087482452391,
+      "num_tokens": 12102054.0,
+      "step": 6640
+    },
+    {
+      "entropy": 5.262872982025146,
+      "epoch": 5.505385252692626,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002677153915346336,
+      "loss": 4.7708,
+      "mean_token_accuracy": 0.20341249853372573,
+      "num_tokens": 12111432.0,
+      "step": 6645
+    },
+    {
+      "entropy": 5.237018823623657,
+      "epoch": 5.5095277547638775,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002673960102987412,
+      "loss": 4.7032,
+      "mean_token_accuracy": 0.21349260658025743,
+      "num_tokens": 12120424.0,
+      "step": 6650
+    },
+    {
+      "entropy": 5.301366519927979,
+      "epoch": 5.513670256835129,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00026707664440092676,
+      "loss": 4.8377,
+      "mean_token_accuracy": 0.20626042485237123,
+      "num_tokens": 12130210.0,
+      "step": 6655
+    },
+    {
+      "entropy": 5.414148330688477,
+      "epoch": 5.51781275890638,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00026675729448538655,
+      "loss": 4.8269,
+      "mean_token_accuracy": 0.21095569282770157,
+      "num_tokens": 12139366.0,
+      "step": 6660
+    },
+    {
+      "entropy": 5.2740867137908936,
+      "epoch": 5.521955260977631,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00026643796119628404,
+      "loss": 4.6432,
+      "mean_token_accuracy": 0.21321782022714614,
+      "num_tokens": 12148385.0,
+      "step": 6665
+    },
+    {
+      "entropy": 5.290845537185669,
+      "epoch": 5.526097763048882,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002661186451777495,
+      "loss": 4.7822,
+      "mean_token_accuracy": 0.20492887496948242,
+      "num_tokens": 12156640.0,
+      "step": 6670
+    },
+    {
+      "entropy": 5.280693674087525,
+      "epoch": 5.530240265120133,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002657993470738781,
+      "loss": 4.8587,
+      "mean_token_accuracy": 0.19673615247011184,
+      "num_tokens": 12166532.0,
+      "step": 6675
+    },
+    {
+      "entropy": 5.24079852104187,
+      "epoch": 5.534382767191383,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026548006752872915,
+      "loss": 4.6934,
+      "mean_token_accuracy": 0.2146509751677513,
+      "num_tokens": 12175239.0,
+      "step": 6680
+    },
+    {
+      "entropy": 5.243715524673462,
+      "epoch": 5.538525269262634,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002651608071863244,
+      "loss": 4.7611,
+      "mean_token_accuracy": 0.20688466280698775,
+      "num_tokens": 12184588.0,
+      "step": 6685
+    },
+    {
+      "entropy": 5.333131456375122,
+      "epoch": 5.542667771333885,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00026484156669064665,
+      "loss": 4.8177,
+      "mean_token_accuracy": 0.20230551064014435,
+      "num_tokens": 12194140.0,
+      "step": 6690
+    },
+    {
+      "entropy": 5.310734224319458,
+      "epoch": 5.5468102734051365,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.000264522346685639,
+      "loss": 4.8193,
+      "mean_token_accuracy": 0.20696787536144257,
+      "num_tokens": 12203504.0,
+      "step": 6695
+    },
+    {
+      "entropy": 5.33381724357605,
+      "epoch": 5.550952775476388,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0002642031478152031,
+      "loss": 4.7782,
+      "mean_token_accuracy": 0.207833394408226,
+      "num_tokens": 12212594.0,
+      "step": 6700
+    },
+    {
+      "entropy": 5.3383890151977536,
+      "epoch": 5.555095277547639,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00026388397072319786,
+      "loss": 4.8162,
+      "mean_token_accuracy": 0.2045178234577179,
+      "num_tokens": 12222101.0,
+      "step": 6705
+    },
+    {
+      "entropy": 5.29089732170105,
+      "epoch": 5.55923777961889,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002635648160534385,
+      "loss": 4.8118,
+      "mean_token_accuracy": 0.20435990989208222,
+      "num_tokens": 12232118.0,
+      "step": 6710
+    },
+    {
+      "entropy": 5.352822351455688,
+      "epoch": 5.563380281690141,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026324568444969473,
+      "loss": 4.7439,
+      "mean_token_accuracy": 0.20706239342689514,
+      "num_tokens": 12241275.0,
+      "step": 6715
+    },
+    {
+      "entropy": 5.245583724975586,
+      "epoch": 5.567522783761392,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026292657655569,
+      "loss": 4.7375,
+      "mean_token_accuracy": 0.21279312521219254,
+      "num_tokens": 12251125.0,
+      "step": 6720
+    },
+    {
+      "entropy": 5.229356813430786,
+      "epoch": 5.571665285832643,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00026260749301509954,
+      "loss": 4.7241,
+      "mean_token_accuracy": 0.21198077648878097,
+      "num_tokens": 12260613.0,
+      "step": 6725
+    },
+    {
+      "entropy": 5.324583339691162,
+      "epoch": 5.575807787903894,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026228843447155005,
+      "loss": 4.733,
+      "mean_token_accuracy": 0.2107634127140045,
+      "num_tokens": 12269878.0,
+      "step": 6730
+    },
+    {
+      "entropy": 5.270222854614258,
+      "epoch": 5.5799502899751445,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00026196940156861736,
+      "loss": 4.7819,
+      "mean_token_accuracy": 0.20616225749254227,
+      "num_tokens": 12278616.0,
+      "step": 6735
+    },
+    {
+      "entropy": 5.194797945022583,
+      "epoch": 5.584092792046396,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00026165039494982555,
+      "loss": 4.7068,
+      "mean_token_accuracy": 0.2110671728849411,
+      "num_tokens": 12287104.0,
+      "step": 6740
+    },
+    {
+      "entropy": 5.187378549575806,
+      "epoch": 5.588235294117647,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00026133141525864605,
+      "loss": 4.7357,
+      "mean_token_accuracy": 0.20822987705469131,
+      "num_tokens": 12296503.0,
+      "step": 6745
+    },
+    {
+      "entropy": 5.294446992874145,
+      "epoch": 5.592377796188898,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00026101246313849557,
+      "loss": 4.6989,
+      "mean_token_accuracy": 0.2123148426413536,
+      "num_tokens": 12306298.0,
+      "step": 6750
+    },
+    {
+      "entropy": 5.2862865924835205,
+      "epoch": 5.596520298260149,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0002606935392327356,
+      "loss": 4.7664,
+      "mean_token_accuracy": 0.20611962229013442,
+      "num_tokens": 12314826.0,
+      "step": 6755
+    },
+    {
+      "entropy": 5.258157396316529,
+      "epoch": 5.6006628003314,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00026037464418467035,
+      "loss": 4.7079,
+      "mean_token_accuracy": 0.21357058137655258,
+      "num_tokens": 12323776.0,
+      "step": 6760
+    },
+    {
+      "entropy": 5.312329053878784,
+      "epoch": 5.604805302402651,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002600557786375459,
+      "loss": 4.7819,
+      "mean_token_accuracy": 0.20854859054088593,
+      "num_tokens": 12332374.0,
+      "step": 6765
+    },
+    {
+      "entropy": 5.217779874801636,
+      "epoch": 5.608947804473902,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00025973694323454916,
+      "loss": 4.6354,
+      "mean_token_accuracy": 0.21756067872047424,
+      "num_tokens": 12341007.0,
+      "step": 6770
+    },
+    {
+      "entropy": 5.175305271148682,
+      "epoch": 5.613090306545153,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00025941813861880575,
+      "loss": 4.7114,
+      "mean_token_accuracy": 0.20966241657733917,
+      "num_tokens": 12350330.0,
+      "step": 6775
+    },
+    {
+      "entropy": 5.267894315719604,
+      "epoch": 5.6172328086164045,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00025909936543337957,
+      "loss": 4.7519,
+      "mean_token_accuracy": 0.1993374451994896,
+      "num_tokens": 12358592.0,
+      "step": 6780
+    },
+    {
+      "entropy": 5.290813016891479,
+      "epoch": 5.621375310687656,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002587806243212709,
+      "loss": 4.7692,
+      "mean_token_accuracy": 0.20917081385850905,
+      "num_tokens": 12368195.0,
+      "step": 6785
+    },
+    {
+      "entropy": 5.241605234146118,
+      "epoch": 5.625517812758907,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002584619159254154,
+      "loss": 4.7124,
+      "mean_token_accuracy": 0.20834194272756576,
+      "num_tokens": 12377206.0,
+      "step": 6790
+    },
+    {
+      "entropy": 5.247827816009521,
+      "epoch": 5.629660314830158,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00025814324088868276,
+      "loss": 4.7593,
+      "mean_token_accuracy": 0.21013118624687194,
+      "num_tokens": 12386595.0,
+      "step": 6795
+    },
+    {
+      "entropy": 5.175970602035522,
+      "epoch": 5.633802816901408,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00025782459985387526,
+      "loss": 4.6569,
+      "mean_token_accuracy": 0.2180004358291626,
+      "num_tokens": 12395923.0,
+      "step": 6800
+    },
+    {
+      "entropy": 5.269517803192139,
+      "epoch": 5.637945318972659,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002575059934637268,
+      "loss": 4.7985,
+      "mean_token_accuracy": 0.20669761300086975,
+      "num_tokens": 12405094.0,
+      "step": 6805
+    },
+    {
+      "entropy": 5.268765878677368,
+      "epoch": 5.64208782104391,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002571874223609012,
+      "loss": 4.7972,
+      "mean_token_accuracy": 0.20435070544481276,
+      "num_tokens": 12414834.0,
+      "step": 6810
+    },
+    {
+      "entropy": 5.294848012924194,
+      "epoch": 5.646230323115161,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00025686888718799136,
+      "loss": 4.7513,
+      "mean_token_accuracy": 0.20469613671302794,
+      "num_tokens": 12423485.0,
+      "step": 6815
+    },
+    {
+      "entropy": 5.368587017059326,
+      "epoch": 5.6503728251864125,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002565503885875173,
+      "loss": 4.7935,
+      "mean_token_accuracy": 0.20704300552606583,
+      "num_tokens": 12432149.0,
+      "step": 6820
+    },
+    {
+      "entropy": 5.2622401237487795,
+      "epoch": 5.654515327257664,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00025623192720192564,
+      "loss": 4.7433,
+      "mean_token_accuracy": 0.2119109019637108,
+      "num_tokens": 12441272.0,
+      "step": 6825
+    },
+    {
+      "entropy": 5.190871524810791,
+      "epoch": 5.658657829328915,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002559135036735877,
+      "loss": 4.7388,
+      "mean_token_accuracy": 0.20155471414327622,
+      "num_tokens": 12449318.0,
+      "step": 6830
+    },
+    {
+      "entropy": 5.168833065032959,
+      "epoch": 5.662800331400166,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00025559511864479864,
+      "loss": 4.6898,
+      "mean_token_accuracy": 0.21231105625629426,
+      "num_tokens": 12458473.0,
+      "step": 6835
+    },
+    {
+      "entropy": 5.313192129135132,
+      "epoch": 5.666942833471417,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002552767727577758,
+      "loss": 4.8113,
+      "mean_token_accuracy": 0.20445662438869477,
+      "num_tokens": 12467703.0,
+      "step": 6840
+    },
+    {
+      "entropy": 5.292496681213379,
+      "epoch": 5.671085335542668,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00025495846665465774,
+      "loss": 4.6938,
+      "mean_token_accuracy": 0.21795116513967513,
+      "num_tokens": 12476166.0,
+      "step": 6845
+    },
+    {
+      "entropy": 5.235640621185302,
+      "epoch": 5.675227837613919,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002546402009775024,
+      "loss": 4.7403,
+      "mean_token_accuracy": 0.20330073386430741,
+      "num_tokens": 12484880.0,
+      "step": 6850
+    },
+    {
+      "entropy": 5.31177544593811,
+      "epoch": 5.679370339685169,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00025432197636828663,
+      "loss": 4.8103,
+      "mean_token_accuracy": 0.20381423085927963,
+      "num_tokens": 12494208.0,
+      "step": 6855
+    },
+    {
+      "entropy": 5.334811210632324,
+      "epoch": 5.683512841756421,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002540037934689042,
+      "loss": 4.8024,
+      "mean_token_accuracy": 0.20098040848970414,
+      "num_tokens": 12503647.0,
+      "step": 6860
+    },
+    {
+      "entropy": 5.295432138442993,
+      "epoch": 5.687655343827672,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00025368565292116475,
+      "loss": 4.8225,
+      "mean_token_accuracy": 0.20177613645792009,
+      "num_tokens": 12512869.0,
+      "step": 6865
+    },
+    {
+      "entropy": 5.28051609992981,
+      "epoch": 5.691797845898923,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002533675553667927,
+      "loss": 4.8747,
+      "mean_token_accuracy": 0.19059171974658967,
+      "num_tokens": 12523222.0,
+      "step": 6870
+    },
+    {
+      "entropy": 5.24097170829773,
+      "epoch": 5.695940347970174,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00025304950144742523,
+      "loss": 4.7456,
+      "mean_token_accuracy": 0.20784133225679396,
+      "num_tokens": 12532343.0,
+      "step": 6875
+    },
+    {
+      "entropy": 5.255422782897949,
+      "epoch": 5.700082850041425,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002527314918046122,
+      "loss": 4.7467,
+      "mean_token_accuracy": 0.21441746652126312,
+      "num_tokens": 12541508.0,
+      "step": 6880
+    },
+    {
+      "entropy": 5.222242641448974,
+      "epoch": 5.704225352112676,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0002524135270798136,
+      "loss": 4.7731,
+      "mean_token_accuracy": 0.20265263617038726,
+      "num_tokens": 12550837.0,
+      "step": 6885
+    },
+    {
+      "entropy": 5.259101152420044,
+      "epoch": 5.708367854183927,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00025209560791439914,
+      "loss": 4.7223,
+      "mean_token_accuracy": 0.21348682641983033,
+      "num_tokens": 12559859.0,
+      "step": 6890
+    },
+    {
+      "entropy": 5.279586315155029,
+      "epoch": 5.712510356255178,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002517777349496465,
+      "loss": 4.8096,
+      "mean_token_accuracy": 0.20708946287631988,
+      "num_tokens": 12569137.0,
+      "step": 6895
+    },
+    {
+      "entropy": 5.332545948028565,
+      "epoch": 5.716652858326429,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002514599088267401,
+      "loss": 4.8391,
+      "mean_token_accuracy": 0.20370080918073655,
+      "num_tokens": 12578111.0,
+      "step": 6900
+    },
+    {
+      "entropy": 5.30065131187439,
+      "epoch": 5.72079536039768,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00025114213018677004,
+      "loss": 4.7826,
+      "mean_token_accuracy": 0.21398544907569886,
+      "num_tokens": 12587604.0,
+      "step": 6905
+    },
+    {
+      "entropy": 5.328654146194458,
+      "epoch": 5.7249378624689315,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002508243996707305,
+      "loss": 4.7982,
+      "mean_token_accuracy": 0.2033779114484787,
+      "num_tokens": 12596620.0,
+      "step": 6910
+    },
+    {
+      "entropy": 5.252767944335938,
+      "epoch": 5.729080364540183,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00025050671791951887,
+      "loss": 4.7682,
+      "mean_token_accuracy": 0.20568756759166718,
+      "num_tokens": 12605452.0,
+      "step": 6915
+    },
+    {
+      "entropy": 5.195128536224365,
+      "epoch": 5.733222866611433,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002501890855739337,
+      "loss": 4.6654,
+      "mean_token_accuracy": 0.22127037048339843,
+      "num_tokens": 12614009.0,
+      "step": 6920
+    },
+    {
+      "entropy": 5.287421989440918,
+      "epoch": 5.737365368682684,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00024987150327467414,
+      "loss": 4.8201,
+      "mean_token_accuracy": 0.2010796323418617,
+      "num_tokens": 12624135.0,
+      "step": 6925
+    },
+    {
+      "entropy": 5.221401596069336,
+      "epoch": 5.741507870753935,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024955397166233855,
+      "loss": 4.6474,
+      "mean_token_accuracy": 0.22327282428741455,
+      "num_tokens": 12632870.0,
+      "step": 6930
+    },
+    {
+      "entropy": 5.304728364944458,
+      "epoch": 5.745650372825186,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024923649137742276,
+      "loss": 4.8549,
+      "mean_token_accuracy": 0.1950896918773651,
+      "num_tokens": 12643606.0,
+      "step": 6935
+    },
+    {
+      "entropy": 5.385456705093384,
+      "epoch": 5.749792874896437,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0002489190630603194,
+      "loss": 4.8834,
+      "mean_token_accuracy": 0.20502226054668427,
+      "num_tokens": 12652926.0,
+      "step": 6940
+    },
+    {
+      "entropy": 5.331468009948731,
+      "epoch": 5.753935376967688,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002486016873513159,
+      "loss": 4.8219,
+      "mean_token_accuracy": 0.20297979861497878,
+      "num_tokens": 12661841.0,
+      "step": 6945
+    },
+    {
+      "entropy": 5.257536315917969,
+      "epoch": 5.7580778790389395,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002482843648905937,
+      "loss": 4.7409,
+      "mean_token_accuracy": 0.2069641500711441,
+      "num_tokens": 12670527.0,
+      "step": 6950
+    },
+    {
+      "entropy": 5.216205167770386,
+      "epoch": 5.762220381110191,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002479670963182271,
+      "loss": 4.7365,
+      "mean_token_accuracy": 0.19854751229286194,
+      "num_tokens": 12680346.0,
+      "step": 6955
+    },
+    {
+      "entropy": 5.315979433059693,
+      "epoch": 5.766362883181442,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00024764988227418114,
+      "loss": 4.8273,
+      "mean_token_accuracy": 0.20946504771709443,
+      "num_tokens": 12691088.0,
+      "step": 6960
+    },
+    {
+      "entropy": 5.343829536437989,
+      "epoch": 5.770505385252693,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002473327233983116,
+      "loss": 4.7894,
+      "mean_token_accuracy": 0.20746862143278122,
+      "num_tokens": 12700296.0,
+      "step": 6965
+    },
+    {
+      "entropy": 5.241484355926514,
+      "epoch": 5.774647887323944,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002470156203303622,
+      "loss": 4.7882,
+      "mean_token_accuracy": 0.20888512581586838,
+      "num_tokens": 12709595.0,
+      "step": 6970
+    },
+    {
+      "entropy": 5.276812028884888,
+      "epoch": 5.778790389395195,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0002466985737099649,
+      "loss": 4.838,
+      "mean_token_accuracy": 0.20352406352758406,
+      "num_tokens": 12719052.0,
+      "step": 6975
+    },
+    {
+      "entropy": 5.237840700149536,
+      "epoch": 5.782932891466446,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002463815841766371,
+      "loss": 4.7033,
+      "mean_token_accuracy": 0.21847177892923356,
+      "num_tokens": 12727287.0,
+      "step": 6980
+    },
+    {
+      "entropy": 5.252689790725708,
+      "epoch": 5.787075393537696,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002460646523697813,
+      "loss": 4.7649,
+      "mean_token_accuracy": 0.2055829644203186,
+      "num_tokens": 12736511.0,
+      "step": 6985
+    },
+    {
+      "entropy": 5.295902395248413,
+      "epoch": 5.7912178956089475,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00024574777892868386,
+      "loss": 4.7758,
+      "mean_token_accuracy": 0.20809024274349214,
+      "num_tokens": 12745597.0,
+      "step": 6990
+    },
+    {
+      "entropy": 5.260382986068725,
+      "epoch": 5.795360397680199,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00024543096449251286,
+      "loss": 4.6362,
+      "mean_token_accuracy": 0.221256822347641,
+      "num_tokens": 12753492.0,
+      "step": 6995
+    },
+    {
+      "entropy": 5.3082959175109865,
+      "epoch": 5.79950289975145,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002451142097003177,
+      "loss": 4.7765,
+      "mean_token_accuracy": 0.21173641979694366,
+      "num_tokens": 12761999.0,
+      "step": 7000
+    },
+    {
+      "epoch": 5.79950289975145,
+      "eval_entropy": 5.159527343473455,
+      "eval_loss": 5.7473931312561035,
+      "eval_mean_token_accuracy": 0.1656088415525361,
+      "eval_num_tokens": 12761999.0,
+      "eval_runtime": 2.7553,
+      "eval_samples_per_second": 1359.941,
+      "eval_steps_per_second": 170.219,
+      "step": 7000
+    },
+    {
+      "entropy": 5.250266122817993,
+      "epoch": 5.803645401822701,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002447975151910276,
+      "loss": 4.6884,
+      "mean_token_accuracy": 0.20662099421024321,
+      "num_tokens": 12770922.0,
+      "step": 7005
+    },
+    {
+      "entropy": 5.225958204269409,
+      "epoch": 5.807787903893952,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00024448088160344974,
+      "loss": 4.72,
+      "mean_token_accuracy": 0.2077726110816002,
+      "num_tokens": 12779539.0,
+      "step": 7010
+    },
+    {
+      "entropy": 5.266984176635742,
+      "epoch": 5.811930405965203,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002441643095762688,
+      "loss": 4.7539,
+      "mean_token_accuracy": 0.20866499096155167,
+      "num_tokens": 12788121.0,
+      "step": 7015
+    },
+    {
+      "entropy": 5.206212854385376,
+      "epoch": 5.816072908036454,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000243847799748045,
+      "loss": 4.6301,
+      "mean_token_accuracy": 0.21100328713655472,
+      "num_tokens": 12797390.0,
+      "step": 7020
+    },
+    {
+      "entropy": 5.249676036834717,
+      "epoch": 5.820215410107705,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00024353135275721356,
+      "loss": 4.8644,
+      "mean_token_accuracy": 0.19687919616699218,
+      "num_tokens": 12807876.0,
+      "step": 7025
+    },
+    {
+      "entropy": 5.184282016754151,
+      "epoch": 5.824357912178956,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00024321496924208235,
+      "loss": 4.6805,
+      "mean_token_accuracy": 0.2075910523533821,
+      "num_tokens": 12816496.0,
+      "step": 7030
+    },
+    {
+      "entropy": 5.282375478744507,
+      "epoch": 5.8285004142502075,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00024289864984083166,
+      "loss": 4.7571,
+      "mean_token_accuracy": 0.21421819925308228,
+      "num_tokens": 12825925.0,
+      "step": 7035
+    },
+    {
+      "entropy": 5.330373096466064,
+      "epoch": 5.832642916321458,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002425823951915122,
+      "loss": 4.776,
+      "mean_token_accuracy": 0.20406203866004943,
+      "num_tokens": 12835479.0,
+      "step": 7040
+    },
+    {
+      "entropy": 5.227119112014771,
+      "epoch": 5.836785418392709,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002422662059320442,
+      "loss": 4.6764,
+      "mean_token_accuracy": 0.2194245144724846,
+      "num_tokens": 12844024.0,
+      "step": 7045
+    },
+    {
+      "entropy": 5.242313861846924,
+      "epoch": 5.84092792046396,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00024195008270021595,
+      "loss": 4.6767,
+      "mean_token_accuracy": 0.21089302152395248,
+      "num_tokens": 12852673.0,
+      "step": 7050
+    },
+    {
+      "entropy": 5.168107366561889,
+      "epoch": 5.845070422535211,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00024163402613368252,
+      "loss": 4.7042,
+      "mean_token_accuracy": 0.21519682556390762,
+      "num_tokens": 12861191.0,
+      "step": 7055
+    },
+    {
+      "entropy": 5.273849678039551,
+      "epoch": 5.849212924606462,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00024131803686996457,
+      "loss": 4.8483,
+      "mean_token_accuracy": 0.20502860397100447,
+      "num_tokens": 12870874.0,
+      "step": 7060
+    },
+    {
+      "entropy": 5.314899635314942,
+      "epoch": 5.853355426677713,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00024100211554644696,
+      "loss": 4.7741,
+      "mean_token_accuracy": 0.21026002764701843,
+      "num_tokens": 12879896.0,
+      "step": 7065
+    },
+    {
+      "entropy": 5.297897291183472,
+      "epoch": 5.857497928748964,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00024068626280037753,
+      "loss": 4.786,
+      "mean_token_accuracy": 0.20807335823774337,
+      "num_tokens": 12888665.0,
+      "step": 7070
+    },
+    {
+      "entropy": 5.261636590957641,
+      "epoch": 5.8616404308202155,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00024037047926886578,
+      "loss": 4.7416,
+      "mean_token_accuracy": 0.20277187824249268,
+      "num_tokens": 12897477.0,
+      "step": 7075
+    },
+    {
+      "entropy": 5.251101160049439,
+      "epoch": 5.865782932891467,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024005476558888172,
+      "loss": 4.794,
+      "mean_token_accuracy": 0.2007831260561943,
+      "num_tokens": 12905934.0,
+      "step": 7080
+    },
+    {
+      "entropy": 5.255609798431396,
+      "epoch": 5.869925434962718,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002397391223972541,
+      "loss": 4.7929,
+      "mean_token_accuracy": 0.20374300181865693,
+      "num_tokens": 12915092.0,
+      "step": 7085
+    },
+    {
+      "entropy": 5.2630064487457275,
+      "epoch": 5.874067937033969,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00023942355033066993,
+      "loss": 4.8721,
+      "mean_token_accuracy": 0.19899580031633377,
+      "num_tokens": 12924775.0,
+      "step": 7090
+    },
+    {
+      "entropy": 5.329388093948364,
+      "epoch": 5.87821043910522,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00023910805002567244,
+      "loss": 4.7789,
+      "mean_token_accuracy": 0.2048063576221466,
+      "num_tokens": 12933677.0,
+      "step": 7095
+    },
+    {
+      "entropy": 5.261180973052978,
+      "epoch": 5.882352941176471,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002387926221186603,
+      "loss": 4.8017,
+      "mean_token_accuracy": 0.2079474300146103,
+      "num_tokens": 12942416.0,
+      "step": 7100
+    },
+    {
+      "entropy": 5.231311798095703,
+      "epoch": 5.886495443247721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00023847726724588608,
+      "loss": 4.7718,
+      "mean_token_accuracy": 0.21066755801439285,
+      "num_tokens": 12952284.0,
+      "step": 7105
+    },
+    {
+      "entropy": 5.278716087341309,
+      "epoch": 5.890637945318972,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002381619860434549,
+      "loss": 4.8123,
+      "mean_token_accuracy": 0.19911128133535386,
+      "num_tokens": 12960694.0,
+      "step": 7110
+    },
+    {
+      "entropy": 5.215971040725708,
+      "epoch": 5.894780447390223,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00023784677914732356,
+      "loss": 4.727,
+      "mean_token_accuracy": 0.20931341648101806,
+      "num_tokens": 12969138.0,
+      "step": 7115
+    },
+    {
+      "entropy": 5.292342042922973,
+      "epoch": 5.8989229494614746,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00023753164719329868,
+      "loss": 4.766,
+      "mean_token_accuracy": 0.20421497970819474,
+      "num_tokens": 12978518.0,
+      "step": 7120
+    },
+    {
+      "entropy": 5.309631299972534,
+      "epoch": 5.903065451532726,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00023721659081703595,
+      "loss": 4.7856,
+      "mean_token_accuracy": 0.2164353221654892,
+      "num_tokens": 12987506.0,
+      "step": 7125
+    },
+    {
+      "entropy": 5.2704308986663815,
+      "epoch": 5.907207953603977,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023690161065403838,
+      "loss": 4.7667,
+      "mean_token_accuracy": 0.20384967178106309,
+      "num_tokens": 12996259.0,
+      "step": 7130
+    },
+    {
+      "entropy": 5.284243488311768,
+      "epoch": 5.911350455675228,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002365867073396555,
+      "loss": 4.7914,
+      "mean_token_accuracy": 0.20621232688426971,
+      "num_tokens": 13005430.0,
+      "step": 7135
+    },
+    {
+      "entropy": 5.2192955493927,
+      "epoch": 5.915492957746479,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023627188150908174,
+      "loss": 4.7414,
+      "mean_token_accuracy": 0.21523537784814833,
+      "num_tokens": 13014915.0,
+      "step": 7140
+    },
+    {
+      "entropy": 5.267714023590088,
+      "epoch": 5.91963545981773,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00023595713379735494,
+      "loss": 4.7483,
+      "mean_token_accuracy": 0.20747244358062744,
+      "num_tokens": 13023471.0,
+      "step": 7145
+    },
+    {
+      "entropy": 5.29262957572937,
+      "epoch": 5.923777961888981,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00023564246483935602,
+      "loss": 4.7364,
+      "mean_token_accuracy": 0.20276205390691757,
+      "num_tokens": 13033270.0,
+      "step": 7150
+    },
+    {
+      "entropy": 5.26424388885498,
+      "epoch": 5.927920463960232,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002353278752698063,
+      "loss": 4.7029,
+      "mean_token_accuracy": 0.2120548114180565,
+      "num_tokens": 13043300.0,
+      "step": 7155
+    },
+    {
+      "entropy": 5.261445045471191,
+      "epoch": 5.9320629660314825,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002350133657232676,
+      "loss": 4.7627,
+      "mean_token_accuracy": 0.20174376368522645,
+      "num_tokens": 13052152.0,
+      "step": 7160
+    },
+    {
+      "entropy": 5.286171960830688,
+      "epoch": 5.9362054681027345,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002346989368341399,
+      "loss": 4.8033,
+      "mean_token_accuracy": 0.20869386494159697,
+      "num_tokens": 13061704.0,
+      "step": 7165
+    },
+    {
+      "entropy": 5.280704736709595,
+      "epoch": 5.940347970173985,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023438458923666057,
+      "loss": 4.7209,
+      "mean_token_accuracy": 0.2152332365512848,
+      "num_tokens": 13071055.0,
+      "step": 7170
+    },
+    {
+      "entropy": 5.268754768371582,
+      "epoch": 5.944490472245236,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002340703235649032,
+      "loss": 4.8331,
+      "mean_token_accuracy": 0.1926100879907608,
+      "num_tokens": 13080023.0,
+      "step": 7175
+    },
+    {
+      "entropy": 5.263068819046021,
+      "epoch": 5.948632974316487,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00023375614045277593,
+      "loss": 4.7536,
+      "mean_token_accuracy": 0.20691772699356079,
+      "num_tokens": 13088690.0,
+      "step": 7180
+    },
+    {
+      "entropy": 5.232177972793579,
+      "epoch": 5.952775476387738,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00023344204053402047,
+      "loss": 4.7377,
+      "mean_token_accuracy": 0.21229761391878127,
+      "num_tokens": 13097116.0,
+      "step": 7185
+    },
+    {
+      "entropy": 5.343814706802368,
+      "epoch": 5.956917978458989,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00023312802444221066,
+      "loss": 4.7995,
+      "mean_token_accuracy": 0.20769918113946914,
+      "num_tokens": 13106463.0,
+      "step": 7190
+    },
+    {
+      "entropy": 5.273978662490845,
+      "epoch": 5.96106048053024,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002328140928107511,
+      "loss": 4.7045,
+      "mean_token_accuracy": 0.21413260698318481,
+      "num_tokens": 13115769.0,
+      "step": 7195
+    },
+    {
+      "entropy": 5.293670988082885,
+      "epoch": 5.965202982601491,
+      "grad_norm": 1.6875,
+      "learning_rate": 0.0002325002462728766,
+      "loss": 4.8058,
+      "mean_token_accuracy": 0.20858496129512788,
+      "num_tokens": 13124928.0,
+      "step": 7200
+    },
+    {
+      "entropy": 5.264481544494629,
+      "epoch": 5.9693454846727425,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00023218648546164945,
+      "loss": 4.7587,
+      "mean_token_accuracy": 0.20816877782344817,
+      "num_tokens": 13134106.0,
+      "step": 7205
+    },
+    {
+      "entropy": 5.401337671279907,
+      "epoch": 5.973487986743994,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002318728110099599,
+      "loss": 4.9463,
+      "mean_token_accuracy": 0.19887659698724747,
+      "num_tokens": 13143019.0,
+      "step": 7210
+    },
+    {
+      "entropy": 5.267350912094116,
+      "epoch": 5.977630488815245,
+      "grad_norm": 1.625,
+      "learning_rate": 0.00023155922355052339,
+      "loss": 4.6633,
+      "mean_token_accuracy": 0.223431359231472,
+      "num_tokens": 13152675.0,
+      "step": 7215
+    },
+    {
+      "entropy": 5.256755113601685,
+      "epoch": 5.981772990886496,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00023124572371588,
+      "loss": 4.6968,
+      "mean_token_accuracy": 0.2141074687242508,
+      "num_tokens": 13161094.0,
+      "step": 7220
+    },
+    {
+      "entropy": 5.22665810585022,
+      "epoch": 5.985915492957746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00023093231213839344,
+      "loss": 4.7801,
+      "mean_token_accuracy": 0.2072029694914818,
+      "num_tokens": 13170858.0,
+      "step": 7225
+    },
+    {
+      "entropy": 5.248539400100708,
+      "epoch": 5.990057995028997,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002306189894502488,
+      "loss": 4.8402,
+      "mean_token_accuracy": 0.1976972222328186,
+      "num_tokens": 13179668.0,
+      "step": 7230
+    },
+    {
+      "entropy": 5.278863763809204,
+      "epoch": 5.994200497100248,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00023030575628345246,
+      "loss": 4.7021,
+      "mean_token_accuracy": 0.2132765233516693,
+      "num_tokens": 13188312.0,
+      "step": 7235
+    },
+    {
+      "entropy": 5.254744529724121,
+      "epoch": 5.998342999171499,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022999261326982985,
+      "loss": 4.7474,
+      "mean_token_accuracy": 0.20551027208566666,
+      "num_tokens": 13196989.0,
+      "step": 7240
+    },
+    {
+      "entropy": 5.215828323364258,
+      "epoch": 6.0024855012427505,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00022967956104102445,
+      "loss": 4.6371,
+      "mean_token_accuracy": 0.21983437091112137,
+      "num_tokens": 13205830.0,
+      "step": 7245
+    },
+    {
+      "entropy": 5.325025272369385,
+      "epoch": 6.006628003314002,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00022936660022849714,
+      "loss": 4.5948,
+      "mean_token_accuracy": 0.22821232080459594,
+      "num_tokens": 13214711.0,
+      "step": 7250
+    },
+    {
+      "entropy": 5.262428140640258,
+      "epoch": 6.010770505385253,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022905373146352382,
+      "loss": 4.6602,
+      "mean_token_accuracy": 0.21241429150104524,
+      "num_tokens": 13223736.0,
+      "step": 7255
+    },
+    {
+      "entropy": 5.257147979736328,
+      "epoch": 6.014913007456504,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002287409553771952,
+      "loss": 4.556,
+      "mean_token_accuracy": 0.22737590819597245,
+      "num_tokens": 13232666.0,
+      "step": 7260
+    },
+    {
+      "entropy": 5.291457891464233,
+      "epoch": 6.019055509527755,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00022842827260041455,
+      "loss": 4.5848,
+      "mean_token_accuracy": 0.21761821508407592,
+      "num_tokens": 13241770.0,
+      "step": 7265
+    },
+    {
+      "entropy": 5.261249971389771,
+      "epoch": 6.023198011599006,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00022811568376389745,
+      "loss": 4.5326,
+      "mean_token_accuracy": 0.22425681203603745,
+      "num_tokens": 13250475.0,
+      "step": 7270
+    },
+    {
+      "entropy": 5.233007001876831,
+      "epoch": 6.027340513670257,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00022780318949816963,
+      "loss": 4.5183,
+      "mean_token_accuracy": 0.22254440933465958,
+      "num_tokens": 13259587.0,
+      "step": 7275
+    },
+    {
+      "entropy": 5.216541528701782,
+      "epoch": 6.031483015741508,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00022749079043356623,
+      "loss": 4.5404,
+      "mean_token_accuracy": 0.23734405487775803,
+      "num_tokens": 13269681.0,
+      "step": 7280
+    },
+    {
+      "entropy": 5.211581516265869,
+      "epoch": 6.0356255178127585,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00022717848720023022,
+      "loss": 4.5539,
+      "mean_token_accuracy": 0.2277751386165619,
+      "num_tokens": 13278186.0,
+      "step": 7285
+    },
+    {
+      "entropy": 5.25051851272583,
+      "epoch": 6.03976801988401,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022686628042811142,
+      "loss": 4.6462,
+      "mean_token_accuracy": 0.21404165476560594,
+      "num_tokens": 13287194.0,
+      "step": 7290
+    },
+    {
+      "entropy": 5.334251356124878,
+      "epoch": 6.043910521955261,
+      "grad_norm": 1.375,
+      "learning_rate": 0.000226554170746965,
+      "loss": 4.6707,
+      "mean_token_accuracy": 0.21294027268886567,
+      "num_tokens": 13296774.0,
+      "step": 7295
+    },
+    {
+      "entropy": 5.338882112503052,
+      "epoch": 6.048053024026512,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00022624215878635023,
+      "loss": 4.5887,
+      "mean_token_accuracy": 0.21931985318660735,
+      "num_tokens": 13306368.0,
+      "step": 7300
+    },
+    {
+      "entropy": 5.310757160186768,
+      "epoch": 6.052195526097763,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00022593024517562945,
+      "loss": 4.5551,
+      "mean_token_accuracy": 0.22974174320697785,
+      "num_tokens": 13315393.0,
+      "step": 7305
+    },
+    {
+      "entropy": 5.216650152206421,
+      "epoch": 6.056338028169014,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022561843054396636,
+      "loss": 4.5496,
+      "mean_token_accuracy": 0.22554152607917785,
+      "num_tokens": 13324384.0,
+      "step": 7310
+    },
+    {
+      "entropy": 5.265720653533935,
+      "epoch": 6.060480530240265,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00022530671552032521,
+      "loss": 4.6095,
+      "mean_token_accuracy": 0.2231447860598564,
+      "num_tokens": 13333191.0,
+      "step": 7315
+    },
+    {
+      "entropy": 5.269006586074829,
+      "epoch": 6.064623032311516,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002249951007334693,
+      "loss": 4.6016,
+      "mean_token_accuracy": 0.21682012677192689,
+      "num_tokens": 13342911.0,
+      "step": 7320
+    },
+    {
+      "entropy": 5.313802003860474,
+      "epoch": 6.068765534382767,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00022468358681195966,
+      "loss": 4.5911,
+      "mean_token_accuracy": 0.2220294862985611,
+      "num_tokens": 13352464.0,
+      "step": 7325
+    },
+    {
+      "entropy": 5.279155349731445,
+      "epoch": 6.072908036454018,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00022437217438415393,
+      "loss": 4.5871,
+      "mean_token_accuracy": 0.22435862571001053,
+      "num_tokens": 13361812.0,
+      "step": 7330
+    },
+    {
+      "entropy": 5.328032398223877,
+      "epoch": 6.0770505385252696,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00022406086407820503,
+      "loss": 4.6541,
+      "mean_token_accuracy": 0.21680645495653153,
+      "num_tokens": 13372080.0,
+      "step": 7335
+    },
+    {
+      "entropy": 5.283897733688354,
+      "epoch": 6.081193040596521,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022374965652205975,
+      "loss": 4.6976,
+      "mean_token_accuracy": 0.20982298403978347,
+      "num_tokens": 13380897.0,
+      "step": 7340
+    },
+    {
+      "entropy": 5.338993167877197,
+      "epoch": 6.085335542667772,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022343855234345796,
+      "loss": 4.6891,
+      "mean_token_accuracy": 0.21388355493545533,
+      "num_tokens": 13389885.0,
+      "step": 7345
+    },
+    {
+      "entropy": 5.288727903366089,
+      "epoch": 6.089478044739022,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00022312755216993065,
+      "loss": 4.6211,
+      "mean_token_accuracy": 0.21839348524808883,
+      "num_tokens": 13399734.0,
+      "step": 7350
+    },
+    {
+      "entropy": 5.224732303619385,
+      "epoch": 6.093620546810273,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00022281665662879903,
+      "loss": 4.5653,
+      "mean_token_accuracy": 0.22080505937337874,
+      "num_tokens": 13408641.0,
+      "step": 7355
+    },
+    {
+      "entropy": 5.2608020305633545,
+      "epoch": 6.097763048881524,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00022250586634717362,
+      "loss": 4.6026,
+      "mean_token_accuracy": 0.21388103663921357,
+      "num_tokens": 13418585.0,
+      "step": 7360
+    },
+    {
+      "entropy": 5.244136095046997,
+      "epoch": 6.101905550952775,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00022219518195195216,
+      "loss": 4.5367,
+      "mean_token_accuracy": 0.22432616204023362,
+      "num_tokens": 13427897.0,
+      "step": 7365
+    },
+    {
+      "entropy": 5.131761312484741,
+      "epoch": 6.106048053024026,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00022188460406981925,
+      "loss": 4.4993,
+      "mean_token_accuracy": 0.22558098286390305,
+      "num_tokens": 13437311.0,
+      "step": 7370
+    },
+    {
+      "entropy": 5.284880685806274,
+      "epoch": 6.1101905550952775,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00022157413332724436,
+      "loss": 4.5608,
+      "mean_token_accuracy": 0.22710221409797668,
+      "num_tokens": 13446359.0,
+      "step": 7375
+    },
+    {
+      "entropy": 5.326997709274292,
+      "epoch": 6.114333057166529,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00022126377035048072,
+      "loss": 4.6056,
+      "mean_token_accuracy": 0.22011455297470092,
+      "num_tokens": 13455302.0,
+      "step": 7380
+    },
+    {
+      "entropy": 5.365768575668335,
+      "epoch": 6.11847555923778,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0002209535157655646,
+      "loss": 4.6937,
+      "mean_token_accuracy": 0.21688085198402404,
+      "num_tokens": 13466391.0,
+      "step": 7385
+    },
+    {
+      "entropy": 5.246037006378174,
+      "epoch": 6.122618061309031,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00022064337019831322,
+      "loss": 4.547,
+      "mean_token_accuracy": 0.22545033246278762,
+      "num_tokens": 13476130.0,
+      "step": 7390
+    },
+    {
+      "entropy": 5.183640670776367,
+      "epoch": 6.126760563380282,
+      "grad_norm": 1.6171875,
+      "learning_rate": 0.00022033333427432422,
+      "loss": 4.5326,
+      "mean_token_accuracy": 0.22769198417663575,
+      "num_tokens": 13485105.0,
+      "step": 7395
+    },
+    {
+      "entropy": 5.284799098968506,
+      "epoch": 6.130903065451533,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002200234086189738,
+      "loss": 4.5988,
+      "mean_token_accuracy": 0.21623703986406326,
+      "num_tokens": 13494914.0,
+      "step": 7400
+    },
+    {
+      "entropy": 5.291166830062866,
+      "epoch": 6.135045567522784,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00021971359385741608,
+      "loss": 4.6312,
+      "mean_token_accuracy": 0.21725507229566574,
+      "num_tokens": 13504293.0,
+      "step": 7405
+    },
+    {
+      "entropy": 5.350364637374878,
+      "epoch": 6.139188069594034,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00021940389061458115,
+      "loss": 4.6935,
+      "mean_token_accuracy": 0.22431259900331496,
+      "num_tokens": 13513972.0,
+      "step": 7410
+    },
+    {
+      "entropy": 5.278038835525512,
+      "epoch": 6.1433305716652855,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002190942995151743,
+      "loss": 4.6089,
+      "mean_token_accuracy": 0.2185722753405571,
+      "num_tokens": 13522508.0,
+      "step": 7415
+    },
+    {
+      "entropy": 5.296834516525268,
+      "epoch": 6.147473073736537,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0002187848211836746,
+      "loss": 4.53,
+      "mean_token_accuracy": 0.22915603816509247,
+      "num_tokens": 13531235.0,
+      "step": 7420
+    },
+    {
+      "entropy": 5.256722116470337,
+      "epoch": 6.151615575807788,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002184754562443337,
+      "loss": 4.5707,
+      "mean_token_accuracy": 0.22529171109199525,
+      "num_tokens": 13541023.0,
+      "step": 7425
+    },
+    {
+      "entropy": 5.217341756820678,
+      "epoch": 6.155758077879039,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00021816620532117448,
+      "loss": 4.5852,
+      "mean_token_accuracy": 0.2248647004365921,
+      "num_tokens": 13550622.0,
+      "step": 7430
+    },
+    {
+      "entropy": 5.230591440200806,
+      "epoch": 6.15990057995029,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002178570690379899,
+      "loss": 4.6031,
+      "mean_token_accuracy": 0.21641309708356857,
+      "num_tokens": 13559423.0,
+      "step": 7435
+    },
+    {
+      "entropy": 5.235513544082641,
+      "epoch": 6.164043082021541,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00021754804801834144,
+      "loss": 4.5917,
+      "mean_token_accuracy": 0.21699417978525162,
+      "num_tokens": 13569306.0,
+      "step": 7440
+    },
+    {
+      "entropy": 5.228752660751343,
+      "epoch": 6.168185584092792,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0002172391428855585,
+      "loss": 4.5366,
+      "mean_token_accuracy": 0.22735673934221268,
+      "num_tokens": 13578367.0,
+      "step": 7445
+    },
+    {
+      "entropy": 5.265543508529663,
+      "epoch": 6.172328086164043,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00021693035426273633,
+      "loss": 4.5986,
+      "mean_token_accuracy": 0.21967096477746964,
+      "num_tokens": 13586930.0,
+      "step": 7450
+    },
+    {
+      "entropy": 5.246473407745361,
+      "epoch": 6.176470588235294,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.00021662168277273547,
+      "loss": 4.5681,
+      "mean_token_accuracy": 0.22939085811376572,
+      "num_tokens": 13595891.0,
+      "step": 7455
+    },
+    {
+      "entropy": 5.319870328903198,
+      "epoch": 6.1806130903065455,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002163131290381799,
+      "loss": 4.6599,
+      "mean_token_accuracy": 0.20967274755239487,
+      "num_tokens": 13605786.0,
+      "step": 7460
+    },
+    {
+      "entropy": 5.238808870315552,
+      "epoch": 6.184755592377797,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00021600469368145624,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.2280669927597046,
+      "num_tokens": 13614561.0,
+      "step": 7465
+    },
+    {
+      "entropy": 5.226732301712036,
+      "epoch": 6.188898094449047,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002156963773247124,
+      "loss": 4.5554,
+      "mean_token_accuracy": 0.22617974877357483,
+      "num_tokens": 13622853.0,
+      "step": 7470
+    },
+    {
+      "entropy": 5.20526967048645,
+      "epoch": 6.193040596520298,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002153881805898561,
+      "loss": 4.5398,
+      "mean_token_accuracy": 0.22647101283073426,
+      "num_tokens": 13631709.0,
+      "step": 7475
+    },
+    {
+      "entropy": 5.293169021606445,
+      "epoch": 6.197183098591549,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.0002150801040985539,
+      "loss": 4.63,
+      "mean_token_accuracy": 0.21966254264116286,
+      "num_tokens": 13640854.0,
+      "step": 7480
+    },
+    {
+      "entropy": 5.218788433074951,
+      "epoch": 6.2013256006628,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00021477214847222958,
+      "loss": 4.5758,
+      "mean_token_accuracy": 0.21710532903671265,
+      "num_tokens": 13649318.0,
+      "step": 7485
+    },
+    {
+      "entropy": 5.315838146209717,
+      "epoch": 6.205468102734051,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00021446431433206348,
+      "loss": 4.6349,
+      "mean_token_accuracy": 0.22002605497837066,
+      "num_tokens": 13658738.0,
+      "step": 7490
+    },
+    {
+      "entropy": 5.187892484664917,
+      "epoch": 6.209610604805302,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002141566022989907,
+      "loss": 4.5484,
+      "mean_token_accuracy": 0.2262681856751442,
+      "num_tokens": 13667315.0,
+      "step": 7495
+    },
+    {
+      "entropy": 5.282585573196411,
+      "epoch": 6.2137531068765535,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002138490129936998,
+      "loss": 4.6721,
+      "mean_token_accuracy": 0.21348128467798233,
+      "num_tokens": 13676665.0,
+      "step": 7500
+    },
+    {
+      "epoch": 6.2137531068765535,
+      "eval_entropy": 5.127327098521088,
+      "eval_loss": 5.749592304229736,
+      "eval_mean_token_accuracy": 0.16626126474853772,
+      "eval_num_tokens": 13676665.0,
+      "eval_runtime": 2.7442,
+      "eval_samples_per_second": 1365.431,
+      "eval_steps_per_second": 170.907,
+      "step": 7500
+    },
+    {
+      "entropy": 5.220932197570801,
+      "epoch": 6.217895608947805,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0002135415470366323,
+      "loss": 4.6065,
+      "mean_token_accuracy": 0.21874047368764876,
+      "num_tokens": 13685774.0,
+      "step": 7505
+    },
+    {
+      "entropy": 5.261872863769531,
+      "epoch": 6.222038111019056,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00021323420504798047,
+      "loss": 4.6324,
+      "mean_token_accuracy": 0.21970156878232955,
+      "num_tokens": 13695700.0,
+      "step": 7510
+    },
+    {
+      "entropy": 5.301397752761841,
+      "epoch": 6.226180613090307,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021292698764768675,
+      "loss": 4.6432,
+      "mean_token_accuracy": 0.21851994693279267,
+      "num_tokens": 13704675.0,
+      "step": 7515
+    },
+    {
+      "entropy": 5.2542356014251705,
+      "epoch": 6.230323115161558,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00021261989545544218,
+      "loss": 4.6623,
+      "mean_token_accuracy": 0.22553315609693528,
+      "num_tokens": 13714562.0,
+      "step": 7520
+    },
+    {
+      "entropy": 5.318307209014892,
+      "epoch": 6.234465617232809,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00021231292909068534,
+      "loss": 4.6448,
+      "mean_token_accuracy": 0.22140212655067443,
+      "num_tokens": 13723917.0,
+      "step": 7525
+    },
+    {
+      "entropy": 5.254926586151123,
+      "epoch": 6.238608119304059,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00021200608917260082,
+      "loss": 4.5832,
+      "mean_token_accuracy": 0.22523251920938492,
+      "num_tokens": 13732482.0,
+      "step": 7530
+    },
+    {
+      "entropy": 5.272995328903198,
+      "epoch": 6.24275062137531,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00021169937632011838,
+      "loss": 4.6548,
+      "mean_token_accuracy": 0.2194363296031952,
+      "num_tokens": 13742110.0,
+      "step": 7535
+    },
+    {
+      "entropy": 5.238206005096435,
+      "epoch": 6.2468931234465614,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00021139279115191123,
+      "loss": 4.574,
+      "mean_token_accuracy": 0.21389349400997162,
+      "num_tokens": 13750501.0,
+      "step": 7540
+    },
+    {
+      "entropy": 5.236702632904053,
+      "epoch": 6.2510356255178126,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00021108633428639534,
+      "loss": 4.545,
+      "mean_token_accuracy": 0.22685909420251846,
+      "num_tokens": 13759786.0,
+      "step": 7545
+    },
+    {
+      "entropy": 5.279770469665527,
+      "epoch": 6.255178127589064,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002107800063417275,
+      "loss": 4.6241,
+      "mean_token_accuracy": 0.21795655339956282,
+      "num_tokens": 13768476.0,
+      "step": 7550
+    },
+    {
+      "entropy": 5.29005618095398,
+      "epoch": 6.259320629660315,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002104738079358048,
+      "loss": 4.6586,
+      "mean_token_accuracy": 0.20849181562662125,
+      "num_tokens": 13778721.0,
+      "step": 7555
+    },
+    {
+      "entropy": 5.281201648712158,
+      "epoch": 6.263463131731566,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002101677396862628,
+      "loss": 4.6196,
+      "mean_token_accuracy": 0.22399465888738632,
+      "num_tokens": 13787108.0,
+      "step": 7560
+    },
+    {
+      "entropy": 5.1881067752838135,
+      "epoch": 6.267605633802817,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00020986180221047463,
+      "loss": 4.5398,
+      "mean_token_accuracy": 0.23230253010988236,
+      "num_tokens": 13795021.0,
+      "step": 7565
+    },
+    {
+      "entropy": 5.190041732788086,
+      "epoch": 6.271748135874068,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00020955599612554966,
+      "loss": 4.5887,
+      "mean_token_accuracy": 0.2193624496459961,
+      "num_tokens": 13804750.0,
+      "step": 7570
+    },
+    {
+      "entropy": 5.2463373184204105,
+      "epoch": 6.275890637945319,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00020925032204833206,
+      "loss": 4.5784,
+      "mean_token_accuracy": 0.22109659761190414,
+      "num_tokens": 13813910.0,
+      "step": 7575
+    },
+    {
+      "entropy": 5.329188394546509,
+      "epoch": 6.28003314001657,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00020894478059539995,
+      "loss": 4.5427,
+      "mean_token_accuracy": 0.2241484045982361,
+      "num_tokens": 13822832.0,
+      "step": 7580
+    },
+    {
+      "entropy": 5.204854440689087,
+      "epoch": 6.284175642087821,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00020863937238306375,
+      "loss": 4.5541,
+      "mean_token_accuracy": 0.2280479699373245,
+      "num_tokens": 13831951.0,
+      "step": 7585
+    },
+    {
+      "entropy": 5.172011041641236,
+      "epoch": 6.2883181441590725,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00020833409802736535,
+      "loss": 4.524,
+      "mean_token_accuracy": 0.23316972702741623,
+      "num_tokens": 13840422.0,
+      "step": 7590
+    },
+    {
+      "entropy": 5.306167030334473,
+      "epoch": 6.292460646230323,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00020802895814407636,
+      "loss": 4.6365,
+      "mean_token_accuracy": 0.22030848115682602,
+      "num_tokens": 13850903.0,
+      "step": 7595
+    },
+    {
+      "entropy": 5.244341468811035,
+      "epoch": 6.296603148301574,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002077239533486972,
+      "loss": 4.6811,
+      "mean_token_accuracy": 0.20490736216306688,
+      "num_tokens": 13859972.0,
+      "step": 7600
+    },
+    {
+      "entropy": 5.235301160812378,
+      "epoch": 6.300745650372825,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00020741908425645606,
+      "loss": 4.658,
+      "mean_token_accuracy": 0.21515794545412065,
+      "num_tokens": 13868980.0,
+      "step": 7605
+    },
+    {
+      "entropy": 5.259301996231079,
+      "epoch": 6.304888152444076,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00020711435148230707,
+      "loss": 4.5874,
+      "mean_token_accuracy": 0.21832506507635116,
+      "num_tokens": 13877901.0,
+      "step": 7610
+    },
+    {
+      "entropy": 5.245576858520508,
+      "epoch": 6.309030654515327,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00020680975564092968,
+      "loss": 4.5697,
+      "mean_token_accuracy": 0.21962837278842925,
+      "num_tokens": 13887081.0,
+      "step": 7615
+    },
+    {
+      "entropy": 5.283494472503662,
+      "epoch": 6.313173156586578,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00020650529734672686,
+      "loss": 4.693,
+      "mean_token_accuracy": 0.21509333699941635,
+      "num_tokens": 13896645.0,
+      "step": 7620
+    },
+    {
+      "entropy": 5.340816831588745,
+      "epoch": 6.317315658657829,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00020620097721382424,
+      "loss": 4.6349,
+      "mean_token_accuracy": 0.21796356588602067,
+      "num_tokens": 13905975.0,
+      "step": 7625
+    },
+    {
+      "entropy": 5.3276678085327145,
+      "epoch": 6.3214581607290805,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0002058967958560689,
+      "loss": 4.6067,
+      "mean_token_accuracy": 0.22121513932943343,
+      "num_tokens": 13914605.0,
+      "step": 7630
+    },
+    {
+      "entropy": 5.256007862091065,
+      "epoch": 6.325600662800332,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00020559275388702775,
+      "loss": 4.5442,
+      "mean_token_accuracy": 0.23139581084251404,
+      "num_tokens": 13924592.0,
+      "step": 7635
+    },
+    {
+      "entropy": 5.187183284759522,
+      "epoch": 6.329743164871583,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00020528885191998682,
+      "loss": 4.5649,
+      "mean_token_accuracy": 0.22332944571971894,
+      "num_tokens": 13933513.0,
+      "step": 7640
+    },
+    {
+      "entropy": 5.1399694919586185,
+      "epoch": 6.333885666942834,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00020498509056794952,
+      "loss": 4.4652,
+      "mean_token_accuracy": 0.23895961940288543,
+      "num_tokens": 13942173.0,
+      "step": 7645
+    },
+    {
+      "entropy": 5.177120351791382,
+      "epoch": 6.338028169014084,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00020468147044363556,
+      "loss": 4.4955,
+      "mean_token_accuracy": 0.22771447747945786,
+      "num_tokens": 13950205.0,
+      "step": 7650
+    },
+    {
+      "entropy": 5.22398190498352,
+      "epoch": 6.342170671085335,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00020437799215948017,
+      "loss": 4.5753,
+      "mean_token_accuracy": 0.22749822586774826,
+      "num_tokens": 13958956.0,
+      "step": 7655
+    },
+    {
+      "entropy": 5.209628582000732,
+      "epoch": 6.346313173156586,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002040746563276319,
+      "loss": 4.5665,
+      "mean_token_accuracy": 0.22033885568380357,
+      "num_tokens": 13967718.0,
+      "step": 7660
+    },
+    {
+      "entropy": 5.235432434082031,
+      "epoch": 6.350455675227837,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00020377146355995257,
+      "loss": 4.6617,
+      "mean_token_accuracy": 0.21480744183063508,
+      "num_tokens": 13976841.0,
+      "step": 7665
+    },
+    {
+      "entropy": 5.287872982025147,
+      "epoch": 6.3545981772990885,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00020346841446801495,
+      "loss": 4.5404,
+      "mean_token_accuracy": 0.22639259397983552,
+      "num_tokens": 13984946.0,
+      "step": 7670
+    },
+    {
+      "entropy": 5.257662773132324,
+      "epoch": 6.35874067937034,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00020316550966310222,
+      "loss": 4.6067,
+      "mean_token_accuracy": 0.21685410737991334,
+      "num_tokens": 13993521.0,
+      "step": 7675
+    },
+    {
+      "entropy": 5.183994293212891,
+      "epoch": 6.362883181441591,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002028627497562065,
+      "loss": 4.5771,
+      "mean_token_accuracy": 0.2181665539741516,
+      "num_tokens": 14002777.0,
+      "step": 7680
+    },
+    {
+      "entropy": 5.246474266052246,
+      "epoch": 6.367025683512842,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00020256013535802748,
+      "loss": 4.6261,
+      "mean_token_accuracy": 0.21209287494421006,
+      "num_tokens": 14012708.0,
+      "step": 7685
+    },
+    {
+      "entropy": 5.28727445602417,
+      "epoch": 6.371168185584093,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002022576670789717,
+      "loss": 4.6394,
+      "mean_token_accuracy": 0.2155505269765854,
+      "num_tokens": 14021088.0,
+      "step": 7690
+    },
+    {
+      "entropy": 5.280440044403076,
+      "epoch": 6.375310687655344,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002019553455291505,
+      "loss": 4.6378,
+      "mean_token_accuracy": 0.21615593284368514,
+      "num_tokens": 14031650.0,
+      "step": 7695
+    },
+    {
+      "entropy": 5.240458631515503,
+      "epoch": 6.379453189726595,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002016531713183797,
+      "loss": 4.6676,
+      "mean_token_accuracy": 0.21988083124160768,
+      "num_tokens": 14040741.0,
+      "step": 7700
+    },
+    {
+      "entropy": 5.242792797088623,
+      "epoch": 6.383595691797846,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00020135114505617752,
+      "loss": 4.6373,
+      "mean_token_accuracy": 0.2093031659722328,
+      "num_tokens": 14049913.0,
+      "step": 7705
+    },
+    {
+      "entropy": 5.277075576782226,
+      "epoch": 6.387738193869097,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00020104926735176393,
+      "loss": 4.5918,
+      "mean_token_accuracy": 0.22735825777053834,
+      "num_tokens": 14059583.0,
+      "step": 7710
+    },
+    {
+      "entropy": 5.327569150924683,
+      "epoch": 6.391880695940348,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00020074753881405949,
+      "loss": 4.5526,
+      "mean_token_accuracy": 0.22584011256694794,
+      "num_tokens": 14067376.0,
+      "step": 7715
+    },
+    {
+      "entropy": 5.247530269622803,
+      "epoch": 6.396023198011599,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002004459600516833,
+      "loss": 4.6272,
+      "mean_token_accuracy": 0.22265007048845292,
+      "num_tokens": 14076415.0,
+      "step": 7720
+    },
+    {
+      "entropy": 5.252097845077515,
+      "epoch": 6.40016570008285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00020014453167295298,
+      "loss": 4.6191,
+      "mean_token_accuracy": 0.21771289706230162,
+      "num_tokens": 14085418.0,
+      "step": 7725
+    },
+    {
+      "entropy": 5.246077394485473,
+      "epoch": 6.404308202154101,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00019984325428588229,
+      "loss": 4.6022,
+      "mean_token_accuracy": 0.22459561228752137,
+      "num_tokens": 14094454.0,
+      "step": 7730
+    },
+    {
+      "entropy": 5.269437408447265,
+      "epoch": 6.408450704225352,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00019954212849818077,
+      "loss": 4.5397,
+      "mean_token_accuracy": 0.23432922810316087,
+      "num_tokens": 14103611.0,
+      "step": 7735
+    },
+    {
+      "entropy": 5.17622013092041,
+      "epoch": 6.412593206296603,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00019924115491725197,
+      "loss": 4.4661,
+      "mean_token_accuracy": 0.23387826085090638,
+      "num_tokens": 14112145.0,
+      "step": 7740
+    },
+    {
+      "entropy": 5.237372732162475,
+      "epoch": 6.416735708367854,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019894033415019253,
+      "loss": 4.6056,
+      "mean_token_accuracy": 0.2221802607178688,
+      "num_tokens": 14121215.0,
+      "step": 7745
+    },
+    {
+      "entropy": 5.171102142333984,
+      "epoch": 6.420878210439105,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019863966680379086,
+      "loss": 4.4967,
+      "mean_token_accuracy": 0.22152459472417832,
+      "num_tokens": 14130106.0,
+      "step": 7750
+    },
+    {
+      "entropy": 5.18139157295227,
+      "epoch": 6.4250207125103564,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0001983391534845258,
+      "loss": 4.5424,
+      "mean_token_accuracy": 0.2322377920150757,
+      "num_tokens": 14139071.0,
+      "step": 7755
+    },
+    {
+      "entropy": 5.224069595336914,
+      "epoch": 6.4291632145816076,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00019803879479856547,
+      "loss": 4.5974,
+      "mean_token_accuracy": 0.21825987547636033,
+      "num_tokens": 14148018.0,
+      "step": 7760
+    },
+    {
+      "entropy": 5.2009124755859375,
+      "epoch": 6.433305716652859,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019773859135176626,
+      "loss": 4.5285,
+      "mean_token_accuracy": 0.21998629420995713,
+      "num_tokens": 14156369.0,
+      "step": 7765
+    },
+    {
+      "entropy": 5.215542888641357,
+      "epoch": 6.43744821872411,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001974385437496713,
+      "loss": 4.6106,
+      "mean_token_accuracy": 0.21984836757183074,
+      "num_tokens": 14165930.0,
+      "step": 7770
+    },
+    {
+      "entropy": 5.2183332443237305,
+      "epoch": 6.44159072079536,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00019713865259750945,
+      "loss": 4.5777,
+      "mean_token_accuracy": 0.228591625392437,
+      "num_tokens": 14175557.0,
+      "step": 7775
+    },
+    {
+      "entropy": 5.288492584228516,
+      "epoch": 6.445733222866611,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019683891850019391,
+      "loss": 4.65,
+      "mean_token_accuracy": 0.2170352444052696,
+      "num_tokens": 14185532.0,
+      "step": 7780
+    },
+    {
+      "entropy": 5.372134733200073,
+      "epoch": 6.449875724937862,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00019653934206232098,
+      "loss": 4.7328,
+      "mean_token_accuracy": 0.21203465312719344,
+      "num_tokens": 14194307.0,
+      "step": 7785
+    },
+    {
+      "entropy": 5.317110586166382,
+      "epoch": 6.454018227009113,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00019623992388816935,
+      "loss": 4.6817,
+      "mean_token_accuracy": 0.22098743617534639,
+      "num_tokens": 14203900.0,
+      "step": 7790
+    },
+    {
+      "entropy": 5.264908695220948,
+      "epoch": 6.458160729080364,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0001959406645816979,
+      "loss": 4.604,
+      "mean_token_accuracy": 0.22145358771085738,
+      "num_tokens": 14213232.0,
+      "step": 7795
+    },
+    {
+      "entropy": 5.2155252456665036,
+      "epoch": 6.4623032311516155,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00019564156474654554,
+      "loss": 4.545,
+      "mean_token_accuracy": 0.21945291459560395,
+      "num_tokens": 14221365.0,
+      "step": 7800
+    },
+    {
+      "entropy": 5.183708381652832,
+      "epoch": 6.466445733222867,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00019534262498602928,
+      "loss": 4.5722,
+      "mean_token_accuracy": 0.21912614554166793,
+      "num_tokens": 14229878.0,
+      "step": 7805
+    },
+    {
+      "entropy": 5.247611427307129,
+      "epoch": 6.470588235294118,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00019504384590314318,
+      "loss": 4.6163,
+      "mean_token_accuracy": 0.21504329293966293,
+      "num_tokens": 14239132.0,
+      "step": 7810
+    },
+    {
+      "entropy": 5.27608289718628,
+      "epoch": 6.474730737365369,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.00019474522810055745,
+      "loss": 4.6315,
+      "mean_token_accuracy": 0.22245015799999238,
+      "num_tokens": 14247116.0,
+      "step": 7815
+    },
+    {
+      "entropy": 5.237215900421143,
+      "epoch": 6.47887323943662,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00019444677218061673,
+      "loss": 4.5876,
+      "mean_token_accuracy": 0.22378402203321457,
+      "num_tokens": 14255423.0,
+      "step": 7820
+    },
+    {
+      "entropy": 5.22880802154541,
+      "epoch": 6.483015741507871,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.0001941484787453393,
+      "loss": 4.5576,
+      "mean_token_accuracy": 0.22750293612480163,
+      "num_tokens": 14263836.0,
+      "step": 7825
+    },
+    {
+      "entropy": 5.1975545406341555,
+      "epoch": 6.487158243579122,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00019385034839641558,
+      "loss": 4.6818,
+      "mean_token_accuracy": 0.21816913187503814,
+      "num_tokens": 14273460.0,
+      "step": 7830
+    },
+    {
+      "entropy": 5.288527727127075,
+      "epoch": 6.491300745650372,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001935523817352071,
+      "loss": 4.6991,
+      "mean_token_accuracy": 0.21707435250282286,
+      "num_tokens": 14282925.0,
+      "step": 7835
+    },
+    {
+      "entropy": 5.283282852172851,
+      "epoch": 6.4954432477216235,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019325457936274516,
+      "loss": 4.5817,
+      "mean_token_accuracy": 0.22622769176959992,
+      "num_tokens": 14292059.0,
+      "step": 7840
+    },
+    {
+      "entropy": 5.274545192718506,
+      "epoch": 6.499585749792875,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00019295694187972955,
+      "loss": 4.6371,
+      "mean_token_accuracy": 0.2125675469636917,
+      "num_tokens": 14301276.0,
+      "step": 7845
+    },
+    {
+      "entropy": 5.247177505493164,
+      "epoch": 6.503728251864126,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019265946988652783,
+      "loss": 4.6386,
+      "mean_token_accuracy": 0.21370143294334412,
+      "num_tokens": 14310259.0,
+      "step": 7850
+    },
+    {
+      "entropy": 5.227504730224609,
+      "epoch": 6.507870753935377,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0001923621639831733,
+      "loss": 4.5105,
+      "mean_token_accuracy": 0.22504902780056,
+      "num_tokens": 14318782.0,
+      "step": 7855
+    },
+    {
+      "entropy": 5.173471689224243,
+      "epoch": 6.512013256006628,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00019206502476936467,
+      "loss": 4.4963,
+      "mean_token_accuracy": 0.23206298500299455,
+      "num_tokens": 14327571.0,
+      "step": 7860
+    },
+    {
+      "entropy": 5.135555934906006,
+      "epoch": 6.516155758077879,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00019176805284446414,
+      "loss": 4.5319,
+      "mean_token_accuracy": 0.23313156962394715,
+      "num_tokens": 14336974.0,
+      "step": 7865
+    },
+    {
+      "entropy": 5.291125202178955,
+      "epoch": 6.52029826014913,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00019147124880749633,
+      "loss": 4.6926,
+      "mean_token_accuracy": 0.218401962518692,
+      "num_tokens": 14346367.0,
+      "step": 7870
+    },
+    {
+      "entropy": 5.287627267837524,
+      "epoch": 6.524440762220381,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00019117461325714768,
+      "loss": 4.6304,
+      "mean_token_accuracy": 0.22132983505725862,
+      "num_tokens": 14355641.0,
+      "step": 7875
+    },
+    {
+      "entropy": 5.246808195114136,
+      "epoch": 6.528583264291632,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019087814679176436,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.22451686710119248,
+      "num_tokens": 14364927.0,
+      "step": 7880
+    },
+    {
+      "entropy": 5.234672212600708,
+      "epoch": 6.5327257663628835,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019058185000935175,
+      "loss": 4.5399,
+      "mean_token_accuracy": 0.22587109208106995,
+      "num_tokens": 14373370.0,
+      "step": 7885
+    },
+    {
+      "entropy": 5.254017162322998,
+      "epoch": 6.536868268434135,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00019028572350757278,
+      "loss": 4.6124,
+      "mean_token_accuracy": 0.21654532849788666,
+      "num_tokens": 14381820.0,
+      "step": 7890
+    },
+    {
+      "entropy": 5.2422840118408205,
+      "epoch": 6.541010770505386,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018998976788374682,
+      "loss": 4.5875,
+      "mean_token_accuracy": 0.21863880306482314,
+      "num_tokens": 14391158.0,
+      "step": 7895
+    },
+    {
+      "entropy": 5.201485252380371,
+      "epoch": 6.545153272576636,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00018969398373484898,
+      "loss": 4.6299,
+      "mean_token_accuracy": 0.21829961985349655,
+      "num_tokens": 14399945.0,
+      "step": 7900
+    },
+    {
+      "entropy": 5.200627136230469,
+      "epoch": 6.549295774647887,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00018939837165750796,
+      "loss": 4.5447,
+      "mean_token_accuracy": 0.22442623525857924,
+      "num_tokens": 14410275.0,
+      "step": 7905
+    },
+    {
+      "entropy": 5.29403018951416,
+      "epoch": 6.553438276719138,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00018910293224800584,
+      "loss": 4.6482,
+      "mean_token_accuracy": 0.2173393338918686,
+      "num_tokens": 14420369.0,
+      "step": 7910
+    },
+    {
+      "entropy": 5.291232109069824,
+      "epoch": 6.557580778790389,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00018880766610227608,
+      "loss": 4.6234,
+      "mean_token_accuracy": 0.22409190386533737,
+      "num_tokens": 14429078.0,
+      "step": 7915
+    },
+    {
+      "entropy": 5.234523487091065,
+      "epoch": 6.56172328086164,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018851257381590264,
+      "loss": 4.5824,
+      "mean_token_accuracy": 0.22088503539562226,
+      "num_tokens": 14438920.0,
+      "step": 7920
+    },
+    {
+      "entropy": 5.292790508270263,
+      "epoch": 6.5658657829328915,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018821765598411917,
+      "loss": 4.7699,
+      "mean_token_accuracy": 0.20645501464605331,
+      "num_tokens": 14449164.0,
+      "step": 7925
+    },
+    {
+      "entropy": 5.241003036499023,
+      "epoch": 6.570008285004143,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00018792291320180693,
+      "loss": 4.6977,
+      "mean_token_accuracy": 0.2070661887526512,
+      "num_tokens": 14459418.0,
+      "step": 7930
+    },
+    {
+      "entropy": 5.294680643081665,
+      "epoch": 6.574150787075394,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00018762834606349455,
+      "loss": 4.5906,
+      "mean_token_accuracy": 0.22685577124357223,
+      "num_tokens": 14468691.0,
+      "step": 7935
+    },
+    {
+      "entropy": 5.322669315338135,
+      "epoch": 6.578293289146645,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00018733395516335588,
+      "loss": 4.6731,
+      "mean_token_accuracy": 0.21569546610116958,
+      "num_tokens": 14477936.0,
+      "step": 7940
+    },
+    {
+      "entropy": 5.285602855682373,
+      "epoch": 6.582435791217896,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00018703974109520976,
+      "loss": 4.6442,
+      "mean_token_accuracy": 0.22226325422525406,
+      "num_tokens": 14487191.0,
+      "step": 7945
+    },
+    {
+      "entropy": 5.2095410346984865,
+      "epoch": 6.586578293289147,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018674570445251798,
+      "loss": 4.566,
+      "mean_token_accuracy": 0.2255881741642952,
+      "num_tokens": 14495731.0,
+      "step": 7950
+    },
+    {
+      "entropy": 5.200072622299194,
+      "epoch": 6.590720795360397,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018645184582838465,
+      "loss": 4.5668,
+      "mean_token_accuracy": 0.22047847658395767,
+      "num_tokens": 14505009.0,
+      "step": 7955
+    },
+    {
+      "entropy": 5.211784410476684,
+      "epoch": 6.594863297431648,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00018615816581555466,
+      "loss": 4.614,
+      "mean_token_accuracy": 0.21996732503175737,
+      "num_tokens": 14513843.0,
+      "step": 7960
+    },
+    {
+      "entropy": 5.188229322433472,
+      "epoch": 6.5990057995028994,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0001858646650064128,
+      "loss": 4.6074,
+      "mean_token_accuracy": 0.22044946551322936,
+      "num_tokens": 14523405.0,
+      "step": 7965
+    },
+    {
+      "entropy": 5.254159069061279,
+      "epoch": 6.603148301574151,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018557134399298215,
+      "loss": 4.6781,
+      "mean_token_accuracy": 0.21682086437940598,
+      "num_tokens": 14532615.0,
+      "step": 7970
+    },
+    {
+      "entropy": 5.2646036624908445,
+      "epoch": 6.607290803645402,
+      "grad_norm": 1.671875,
+      "learning_rate": 0.0001852782033669233,
+      "loss": 4.6101,
+      "mean_token_accuracy": 0.22458707094192504,
+      "num_tokens": 14541297.0,
+      "step": 7975
+    },
+    {
+      "entropy": 5.216501903533936,
+      "epoch": 6.611433305716653,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00018498524371953295,
+      "loss": 4.556,
+      "mean_token_accuracy": 0.22257563024759291,
+      "num_tokens": 14549867.0,
+      "step": 7980
+    },
+    {
+      "entropy": 5.22313437461853,
+      "epoch": 6.615575807787904,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018469246564174275,
+      "loss": 4.6508,
+      "mean_token_accuracy": 0.20906404107809068,
+      "num_tokens": 14558708.0,
+      "step": 7985
+    },
+    {
+      "entropy": 5.215989065170288,
+      "epoch": 6.619718309859155,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.000184399869724118,
+      "loss": 4.648,
+      "mean_token_accuracy": 0.21317926198244094,
+      "num_tokens": 14567917.0,
+      "step": 7990
+    },
+    {
+      "entropy": 5.194528484344483,
+      "epoch": 6.623860811930406,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00018410745655685662,
+      "loss": 4.5161,
+      "mean_token_accuracy": 0.23143290728330612,
+      "num_tokens": 14576417.0,
+      "step": 7995
+    },
+    {
+      "entropy": 5.19383282661438,
+      "epoch": 6.628003314001657,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00018381522672978806,
+      "loss": 4.5967,
+      "mean_token_accuracy": 0.2205110549926758,
+      "num_tokens": 14585172.0,
+      "step": 8000
+    },
+    {
+      "epoch": 6.628003314001657,
+      "eval_entropy": 5.144060653409978,
+      "eval_loss": 5.7370734214782715,
+      "eval_mean_token_accuracy": 0.1679431346020719,
+      "eval_num_tokens": 14585172.0,
+      "eval_runtime": 2.746,
+      "eval_samples_per_second": 1364.549,
+      "eval_steps_per_second": 170.796,
+      "step": 8000
+    },
+    {
+      "entropy": 5.2945750713348385,
+      "epoch": 6.632145816072908,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00018352318083237167,
+      "loss": 4.6209,
+      "mean_token_accuracy": 0.21357694566249846,
+      "num_tokens": 14593758.0,
+      "step": 8005
+    },
+    {
+      "entropy": 5.269504880905151,
+      "epoch": 6.636288318144159,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00018323131945369603,
+      "loss": 4.5957,
+      "mean_token_accuracy": 0.2212613955140114,
+      "num_tokens": 14602558.0,
+      "step": 8010
+    },
+    {
+      "entropy": 5.292761898040771,
+      "epoch": 6.6404308202154105,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00018293964318247735,
+      "loss": 4.5895,
+      "mean_token_accuracy": 0.22187672108411788,
+      "num_tokens": 14611463.0,
+      "step": 8015
+    },
+    {
+      "entropy": 5.268460607528686,
+      "epoch": 6.644573322286661,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00018264815260705863,
+      "loss": 4.6303,
+      "mean_token_accuracy": 0.22261828631162645,
+      "num_tokens": 14619951.0,
+      "step": 8020
+    },
+    {
+      "entropy": 5.312491035461425,
+      "epoch": 6.648715824357912,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00018235684831540826,
+      "loss": 4.6601,
+      "mean_token_accuracy": 0.2227204129099846,
+      "num_tokens": 14629332.0,
+      "step": 8025
+    },
+    {
+      "entropy": 5.215784406661987,
+      "epoch": 6.652858326429163,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018206573089511862,
+      "loss": 4.6116,
+      "mean_token_accuracy": 0.22559183984994888,
+      "num_tokens": 14639010.0,
+      "step": 8030
+    },
+    {
+      "entropy": 5.217174816131592,
+      "epoch": 6.657000828500414,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00018177480093340564,
+      "loss": 4.644,
+      "mean_token_accuracy": 0.2131648376584053,
+      "num_tokens": 14648507.0,
+      "step": 8035
+    },
+    {
+      "entropy": 5.26403660774231,
+      "epoch": 6.661143330571665,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0001814840590171065,
+      "loss": 4.6395,
+      "mean_token_accuracy": 0.216891747713089,
+      "num_tokens": 14657892.0,
+      "step": 8040
+    },
+    {
+      "entropy": 5.276500272750854,
+      "epoch": 6.665285832642916,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018119350573267979,
+      "loss": 4.5962,
+      "mean_token_accuracy": 0.22690920978784562,
+      "num_tokens": 14666460.0,
+      "step": 8045
+    },
+    {
+      "entropy": 5.25149884223938,
+      "epoch": 6.669428334714167,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018090314166620302,
+      "loss": 4.5902,
+      "mean_token_accuracy": 0.2189852774143219,
+      "num_tokens": 14675046.0,
+      "step": 8050
+    },
+    {
+      "entropy": 5.219921970367432,
+      "epoch": 6.6735708367854185,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018061296740337225,
+      "loss": 4.6258,
+      "mean_token_accuracy": 0.2165866807103157,
+      "num_tokens": 14685055.0,
+      "step": 8055
+    },
+    {
+      "entropy": 5.248022747039795,
+      "epoch": 6.67771333885667,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00018032298352950077,
+      "loss": 4.5972,
+      "mean_token_accuracy": 0.2188133031129837,
+      "num_tokens": 14695371.0,
+      "step": 8060
+    },
+    {
+      "entropy": 5.225955820083618,
+      "epoch": 6.681855840927921,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00018003319062951756,
+      "loss": 4.569,
+      "mean_token_accuracy": 0.2223624899983406,
+      "num_tokens": 14703671.0,
+      "step": 8065
+    },
+    {
+      "entropy": 5.195835924148559,
+      "epoch": 6.685998342999172,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00017974358928796682,
+      "loss": 4.5951,
+      "mean_token_accuracy": 0.22712722718715667,
+      "num_tokens": 14712527.0,
+      "step": 8070
+    },
+    {
+      "entropy": 5.231344604492188,
+      "epoch": 6.690140845070422,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00017945418008900594,
+      "loss": 4.6311,
+      "mean_token_accuracy": 0.22212356179952622,
+      "num_tokens": 14720711.0,
+      "step": 8075
+    },
+    {
+      "entropy": 5.25670371055603,
+      "epoch": 6.694283347141674,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0001791649636164049,
+      "loss": 4.6664,
+      "mean_token_accuracy": 0.21566284000873565,
+      "num_tokens": 14729667.0,
+      "step": 8080
+    },
+    {
+      "entropy": 5.32373685836792,
+      "epoch": 6.698425849212924,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000178875940453545,
+      "loss": 4.612,
+      "mean_token_accuracy": 0.2260928839445114,
+      "num_tokens": 14738614.0,
+      "step": 8085
+    },
+    {
+      "entropy": 5.285801553726197,
+      "epoch": 6.702568351284175,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00017858711118341742,
+      "loss": 4.611,
+      "mean_token_accuracy": 0.22119891494512559,
+      "num_tokens": 14747724.0,
+      "step": 8090
+    },
+    {
+      "entropy": 5.189185285568238,
+      "epoch": 6.7067108533554265,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00017829847638862255,
+      "loss": 4.5783,
+      "mean_token_accuracy": 0.22308655232191085,
+      "num_tokens": 14757436.0,
+      "step": 8095
+    },
+    {
+      "entropy": 5.163452911376953,
+      "epoch": 6.710853355426678,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00017801003665136823,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.22859434187412261,
+      "num_tokens": 14765948.0,
+      "step": 8100
+    },
+    {
+      "entropy": 5.2175110340118405,
+      "epoch": 6.714995857497929,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00017772179255346883,
+      "loss": 4.5924,
+      "mean_token_accuracy": 0.21859526336193086,
+      "num_tokens": 14775397.0,
+      "step": 8105
+    },
+    {
+      "entropy": 5.2649805545806885,
+      "epoch": 6.71913835956918,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00017743374467634433,
+      "loss": 4.5547,
+      "mean_token_accuracy": 0.22480292171239852,
+      "num_tokens": 14783605.0,
+      "step": 8110
+    },
+    {
+      "entropy": 5.262083387374878,
+      "epoch": 6.723280861640431,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00017714589360101862,
+      "loss": 4.6719,
+      "mean_token_accuracy": 0.2111577272415161,
+      "num_tokens": 14792210.0,
+      "step": 8115
+    },
+    {
+      "entropy": 5.165537548065186,
+      "epoch": 6.727423363711682,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000176858239908119,
+      "loss": 4.5663,
+      "mean_token_accuracy": 0.21831904202699662,
+      "num_tokens": 14801186.0,
+      "step": 8120
+    },
+    {
+      "entropy": 5.171479225158691,
+      "epoch": 6.731565865782933,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00017657078417787414,
+      "loss": 4.5126,
+      "mean_token_accuracy": 0.2303812935948372,
+      "num_tokens": 14810100.0,
+      "step": 8125
+    },
+    {
+      "entropy": 5.1626139163970945,
+      "epoch": 6.735708367854184,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017628352699011396,
+      "loss": 4.4932,
+      "mean_token_accuracy": 0.22342629581689835,
+      "num_tokens": 14819335.0,
+      "step": 8130
+    },
+    {
+      "entropy": 5.184713125228882,
+      "epoch": 6.739850869925435,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001759964689242674,
+      "loss": 4.6115,
+      "mean_token_accuracy": 0.22678097039461137,
+      "num_tokens": 14828686.0,
+      "step": 8135
+    },
+    {
+      "entropy": 5.233674144744873,
+      "epoch": 6.743993371996686,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001757096105593619,
+      "loss": 4.6202,
+      "mean_token_accuracy": 0.21709106266498565,
+      "num_tokens": 14838312.0,
+      "step": 8140
+    },
+    {
+      "entropy": 5.149096870422364,
+      "epoch": 6.748135874067937,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00017542295247402234,
+      "loss": 4.5595,
+      "mean_token_accuracy": 0.22249870449304582,
+      "num_tokens": 14846838.0,
+      "step": 8145
+    },
+    {
+      "entropy": 5.202677154541016,
+      "epoch": 6.752278376139188,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00017513649524646919,
+      "loss": 4.6182,
+      "mean_token_accuracy": 0.21352985352277756,
+      "num_tokens": 14857427.0,
+      "step": 8150
+    },
+    {
+      "entropy": 5.231053304672241,
+      "epoch": 6.756420878210439,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001748502394545181,
+      "loss": 4.6142,
+      "mean_token_accuracy": 0.2143697887659073,
+      "num_tokens": 14866244.0,
+      "step": 8155
+    },
+    {
+      "entropy": 5.2318687915802,
+      "epoch": 6.76056338028169,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001745641856755783,
+      "loss": 4.6272,
+      "mean_token_accuracy": 0.2168770670890808,
+      "num_tokens": 14875697.0,
+      "step": 8160
+    },
+    {
+      "entropy": 5.213436222076416,
+      "epoch": 6.764705882352941,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00017427833448665136,
+      "loss": 4.6431,
+      "mean_token_accuracy": 0.22060779482126236,
+      "num_tokens": 14884650.0,
+      "step": 8165
+    },
+    {
+      "entropy": 5.221727609634399,
+      "epoch": 6.768848384424192,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00017399268646433065,
+      "loss": 4.5726,
+      "mean_token_accuracy": 0.22035471200942994,
+      "num_tokens": 14894058.0,
+      "step": 8170
+    },
+    {
+      "entropy": 5.291379785537719,
+      "epoch": 6.772990886495443,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00017370724218479912,
+      "loss": 4.6928,
+      "mean_token_accuracy": 0.21716551035642623,
+      "num_tokens": 14903219.0,
+      "step": 8175
+    },
+    {
+      "entropy": 5.280435705184937,
+      "epoch": 6.7771333885666944,
+      "grad_norm": 1.5234375,
+      "learning_rate": 0.00017342200222382934,
+      "loss": 4.6104,
+      "mean_token_accuracy": 0.21606069803237915,
+      "num_tokens": 14913051.0,
+      "step": 8180
+    },
+    {
+      "entropy": 5.284905195236206,
+      "epoch": 6.781275890637946,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00017313696715678134,
+      "loss": 4.6263,
+      "mean_token_accuracy": 0.2211444079875946,
+      "num_tokens": 14921777.0,
+      "step": 8185
+    },
+    {
+      "entropy": 5.336038494110108,
+      "epoch": 6.785418392709197,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.000172852137558602,
+      "loss": 4.7612,
+      "mean_token_accuracy": 0.20792590975761413,
+      "num_tokens": 14931558.0,
+      "step": 8190
+    },
+    {
+      "entropy": 5.2495917797088625,
+      "epoch": 6.789560894780448,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00017256751400382384,
+      "loss": 4.6749,
+      "mean_token_accuracy": 0.2186842069029808,
+      "num_tokens": 14940584.0,
+      "step": 8195
+    },
+    {
+      "entropy": 5.260048294067383,
+      "epoch": 6.793703396851699,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00017228309706656354,
+      "loss": 4.6003,
+      "mean_token_accuracy": 0.2234319806098938,
+      "num_tokens": 14950830.0,
+      "step": 8200
+    },
+    {
+      "entropy": 5.309694099426269,
+      "epoch": 6.797845898922949,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001719988873205213,
+      "loss": 4.6046,
+      "mean_token_accuracy": 0.2206121563911438,
+      "num_tokens": 14958990.0,
+      "step": 8205
+    },
+    {
+      "entropy": 5.258207225799561,
+      "epoch": 6.8019884009942,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00017171488533897916,
+      "loss": 4.6389,
+      "mean_token_accuracy": 0.216607928276062,
+      "num_tokens": 14967451.0,
+      "step": 8210
+    },
+    {
+      "entropy": 5.220820093154908,
+      "epoch": 6.806130903065451,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00017143109169480005,
+      "loss": 4.5703,
+      "mean_token_accuracy": 0.2230973109602928,
+      "num_tokens": 14976157.0,
+      "step": 8215
+    },
+    {
+      "entropy": 5.277642917633057,
+      "epoch": 6.810273405136702,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017114750696042695,
+      "loss": 4.6916,
+      "mean_token_accuracy": 0.211100971698761,
+      "num_tokens": 14985591.0,
+      "step": 8220
+    },
+    {
+      "entropy": 5.277077102661133,
+      "epoch": 6.8144159072079535,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00017086413170788107,
+      "loss": 4.5868,
+      "mean_token_accuracy": 0.22545621395111085,
+      "num_tokens": 14994513.0,
+      "step": 8225
+    },
+    {
+      "entropy": 5.249056625366211,
+      "epoch": 6.818558409279205,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00017058096650876143,
+      "loss": 4.6555,
+      "mean_token_accuracy": 0.21752652078866958,
+      "num_tokens": 15003252.0,
+      "step": 8230
+    },
+    {
+      "entropy": 5.268651342391967,
+      "epoch": 6.822700911350456,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017029801193424313,
+      "loss": 4.5678,
+      "mean_token_accuracy": 0.21832710206508638,
+      "num_tokens": 15012342.0,
+      "step": 8235
+    },
+    {
+      "entropy": 5.17280683517456,
+      "epoch": 6.826843413421707,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017001526855507632,
+      "loss": 4.5248,
+      "mean_token_accuracy": 0.22667909115552903,
+      "num_tokens": 15021336.0,
+      "step": 8240
+    },
+    {
+      "entropy": 5.232009410858154,
+      "epoch": 6.830985915492958,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00016973273694158555,
+      "loss": 4.5752,
+      "mean_token_accuracy": 0.21583533883094788,
+      "num_tokens": 15031016.0,
+      "step": 8245
+    },
+    {
+      "entropy": 5.281693077087402,
+      "epoch": 6.835128417564209,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00016945041766366773,
+      "loss": 4.5846,
+      "mean_token_accuracy": 0.22162794917821885,
+      "num_tokens": 15039181.0,
+      "step": 8250
+    },
+    {
+      "entropy": 5.255547618865966,
+      "epoch": 6.83927091963546,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00016916831129079187,
+      "loss": 4.647,
+      "mean_token_accuracy": 0.2128545254468918,
+      "num_tokens": 15048563.0,
+      "step": 8255
+    },
+    {
+      "entropy": 5.248698711395264,
+      "epoch": 6.84341342170671,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001688864183919973,
+      "loss": 4.5936,
+      "mean_token_accuracy": 0.22442127764225006,
+      "num_tokens": 15056960.0,
+      "step": 8260
+    },
+    {
+      "entropy": 5.307019329071045,
+      "epoch": 6.8475559237779615,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00016860473953589266,
+      "loss": 4.6347,
+      "mean_token_accuracy": 0.21388418227434158,
+      "num_tokens": 15065645.0,
+      "step": 8265
+    },
+    {
+      "entropy": 5.223530387878418,
+      "epoch": 6.851698425849213,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00016832327529065522,
+      "loss": 4.5822,
+      "mean_token_accuracy": 0.22318441718816756,
+      "num_tokens": 15074544.0,
+      "step": 8270
+    },
+    {
+      "entropy": 5.267363739013672,
+      "epoch": 6.855840927920464,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001680420262240289,
+      "loss": 4.6343,
+      "mean_token_accuracy": 0.21753862798213958,
+      "num_tokens": 15083543.0,
+      "step": 8275
+    },
+    {
+      "entropy": 5.204693603515625,
+      "epoch": 6.859983429991715,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00016776099290332397,
+      "loss": 4.6145,
+      "mean_token_accuracy": 0.2235179975628853,
+      "num_tokens": 15092291.0,
+      "step": 8280
+    },
+    {
+      "entropy": 5.3212086200714115,
+      "epoch": 6.864125932062966,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00016748017589541525,
+      "loss": 4.6697,
+      "mean_token_accuracy": 0.2193456619977951,
+      "num_tokens": 15100875.0,
+      "step": 8285
+    },
+    {
+      "entropy": 5.275527429580689,
+      "epoch": 6.868268434134217,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0001671995757667414,
+      "loss": 4.6246,
+      "mean_token_accuracy": 0.22207115739583969,
+      "num_tokens": 15111385.0,
+      "step": 8290
+    },
+    {
+      "entropy": 5.325754880905151,
+      "epoch": 6.872410936205468,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00016691919308330343,
+      "loss": 4.6412,
+      "mean_token_accuracy": 0.2226441338658333,
+      "num_tokens": 15121153.0,
+      "step": 8295
+    },
+    {
+      "entropy": 5.278840351104736,
+      "epoch": 6.876553438276719,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00016663902841066404,
+      "loss": 4.6258,
+      "mean_token_accuracy": 0.21953531950712205,
+      "num_tokens": 15130132.0,
+      "step": 8300
+    },
+    {
+      "entropy": 5.229125213623047,
+      "epoch": 6.88069594034797,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00016635908231394587,
+      "loss": 4.6111,
+      "mean_token_accuracy": 0.2153362438082695,
+      "num_tokens": 15138878.0,
+      "step": 8305
+    },
+    {
+      "entropy": 5.198756742477417,
+      "epoch": 6.8848384424192215,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0001660793553578307,
+      "loss": 4.6868,
+      "mean_token_accuracy": 0.20835813581943513,
+      "num_tokens": 15148727.0,
+      "step": 8310
+    },
+    {
+      "entropy": 5.257393503189087,
+      "epoch": 6.888980944490473,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00016579984810655856,
+      "loss": 4.6404,
+      "mean_token_accuracy": 0.21736776530742646,
+      "num_tokens": 15158107.0,
+      "step": 8315
+    },
+    {
+      "entropy": 5.275184488296508,
+      "epoch": 6.893123446561724,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00016552056112392594,
+      "loss": 4.6178,
+      "mean_token_accuracy": 0.21456918865442276,
+      "num_tokens": 15168101.0,
+      "step": 8320
+    },
+    {
+      "entropy": 5.249782991409302,
+      "epoch": 6.897265948632974,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0001652414949732854,
+      "loss": 4.5573,
+      "mean_token_accuracy": 0.22505220770835876,
+      "num_tokens": 15176376.0,
+      "step": 8325
+    },
+    {
+      "entropy": 5.2404684066772464,
+      "epoch": 6.901408450704225,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00016496265021754365,
+      "loss": 4.5925,
+      "mean_token_accuracy": 0.2170558288693428,
+      "num_tokens": 15184936.0,
+      "step": 8330
+    },
+    {
+      "entropy": 5.271342658996582,
+      "epoch": 6.905550952775476,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00016468402741916124,
+      "loss": 4.6586,
+      "mean_token_accuracy": 0.22344124019145967,
+      "num_tokens": 15194846.0,
+      "step": 8335
+    },
+    {
+      "entropy": 5.263687086105347,
+      "epoch": 6.909693454846727,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001644056271401506,
+      "loss": 4.6187,
+      "mean_token_accuracy": 0.22206373363733292,
+      "num_tokens": 15204543.0,
+      "step": 8340
+    },
+    {
+      "entropy": 5.221840810775757,
+      "epoch": 6.913835956917978,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00016412744994207573,
+      "loss": 4.5897,
+      "mean_token_accuracy": 0.215163554251194,
+      "num_tokens": 15213459.0,
+      "step": 8345
+    },
+    {
+      "entropy": 5.209072399139404,
+      "epoch": 6.9179784589892295,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00016384949638605025,
+      "loss": 4.6864,
+      "mean_token_accuracy": 0.20790564268827438,
+      "num_tokens": 15223841.0,
+      "step": 8350
+    },
+    {
+      "entropy": 5.225527238845825,
+      "epoch": 6.922120961060481,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00016357176703273696,
+      "loss": 4.6187,
+      "mean_token_accuracy": 0.22101123183965682,
+      "num_tokens": 15233594.0,
+      "step": 8355
+    },
+    {
+      "entropy": 5.251284885406494,
+      "epoch": 6.926263463131732,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0001632942624423463,
+      "loss": 4.5643,
+      "mean_token_accuracy": 0.22933652848005295,
+      "num_tokens": 15242876.0,
+      "step": 8360
+    },
+    {
+      "entropy": 5.297107553482055,
+      "epoch": 6.930405965202983,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00016301698317463525,
+      "loss": 4.6565,
+      "mean_token_accuracy": 0.2228442072868347,
+      "num_tokens": 15251581.0,
+      "step": 8365
+    },
+    {
+      "entropy": 5.252490663528443,
+      "epoch": 6.934548467274234,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00016273992978890658,
+      "loss": 4.5084,
+      "mean_token_accuracy": 0.22431502342224122,
+      "num_tokens": 15260601.0,
+      "step": 8370
+    },
+    {
+      "entropy": 5.232750654220581,
+      "epoch": 6.938690969345485,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001624631028440071,
+      "loss": 4.5322,
+      "mean_token_accuracy": 0.22127106189727783,
+      "num_tokens": 15270123.0,
+      "step": 8375
+    },
+    {
+      "entropy": 5.301280069351196,
+      "epoch": 6.942833471416735,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0001621865028983271,
+      "loss": 4.6664,
+      "mean_token_accuracy": 0.2162109360098839,
+      "num_tokens": 15278623.0,
+      "step": 8380
+    },
+    {
+      "entropy": 5.187017822265625,
+      "epoch": 6.946975973487987,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001619101305097988,
+      "loss": 4.569,
+      "mean_token_accuracy": 0.22274162173271178,
+      "num_tokens": 15287789.0,
+      "step": 8385
+    },
+    {
+      "entropy": 5.105927991867065,
+      "epoch": 6.9511184755592375,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.00016163398623589563,
+      "loss": 4.5276,
+      "mean_token_accuracy": 0.23134084939956664,
+      "num_tokens": 15296266.0,
+      "step": 8390
+    },
+    {
+      "entropy": 5.268940114974976,
+      "epoch": 6.955260977630489,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00016135807063363074,
+      "loss": 4.6269,
+      "mean_token_accuracy": 0.21198562532663345,
+      "num_tokens": 15304785.0,
+      "step": 8395
+    },
+    {
+      "entropy": 5.171991634368896,
+      "epoch": 6.95940347970174,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00016108238425955584,
+      "loss": 4.5327,
+      "mean_token_accuracy": 0.22577450573444366,
+      "num_tokens": 15313727.0,
+      "step": 8400
+    },
+    {
+      "entropy": 5.254316186904907,
+      "epoch": 6.963545981772991,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0001608069276697608,
+      "loss": 4.7158,
+      "mean_token_accuracy": 0.21332326233386995,
+      "num_tokens": 15322911.0,
+      "step": 8405
+    },
+    {
+      "entropy": 5.300360822677613,
+      "epoch": 6.967688483844242,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001605317014198714,
+      "loss": 4.6163,
+      "mean_token_accuracy": 0.22070427536964415,
+      "num_tokens": 15330882.0,
+      "step": 8410
+    },
+    {
+      "entropy": 5.221141958236695,
+      "epoch": 6.971830985915493,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00016025670606504926,
+      "loss": 4.523,
+      "mean_token_accuracy": 0.22398052662611007,
+      "num_tokens": 15339915.0,
+      "step": 8415
+    },
+    {
+      "entropy": 5.213225173950195,
+      "epoch": 6.975973487986744,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001599819421599899,
+      "loss": 4.5878,
+      "mean_token_accuracy": 0.21864742040634155,
+      "num_tokens": 15348181.0,
+      "step": 8420
+    },
+    {
+      "entropy": 5.188560724258423,
+      "epoch": 6.980115990057995,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00015970741025892233,
+      "loss": 4.5452,
+      "mean_token_accuracy": 0.2271549642086029,
+      "num_tokens": 15357128.0,
+      "step": 8425
+    },
+    {
+      "entropy": 5.209831953048706,
+      "epoch": 6.984258492129246,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00015943311091560721,
+      "loss": 4.6538,
+      "mean_token_accuracy": 0.22213561683893204,
+      "num_tokens": 15366878.0,
+      "step": 8430
+    },
+    {
+      "entropy": 5.3097316265106205,
+      "epoch": 6.988400994200497,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00015915904468333635,
+      "loss": 4.5939,
+      "mean_token_accuracy": 0.22847030758857728,
+      "num_tokens": 15376101.0,
+      "step": 8435
+    },
+    {
+      "entropy": 5.18035774230957,
+      "epoch": 6.9925434962717485,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00015888521211493135,
+      "loss": 4.5421,
+      "mean_token_accuracy": 0.21641024351119995,
+      "num_tokens": 15384942.0,
+      "step": 8440
+    },
+    {
+      "entropy": 5.193719911575317,
+      "epoch": 6.996685998342999,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001586116137627423,
+      "loss": 4.5648,
+      "mean_token_accuracy": 0.22552343606948852,
+      "num_tokens": 15394380.0,
+      "step": 8445
+    },
+    {
+      "entropy": 5.28035192489624,
+      "epoch": 7.00082850041425,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00015833825017864711,
+      "loss": 4.4966,
+      "mean_token_accuracy": 0.23881841003894805,
+      "num_tokens": 15402180.0,
+      "step": 8450
+    },
+    {
+      "entropy": 5.25820837020874,
+      "epoch": 7.004971002485501,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00015806512191405,
+      "loss": 4.5534,
+      "mean_token_accuracy": 0.22912415564060212,
+      "num_tokens": 15411434.0,
+      "step": 8455
+    },
+    {
+      "entropy": 5.271618843078613,
+      "epoch": 7.009113504556752,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0001577922295198803,
+      "loss": 4.4939,
+      "mean_token_accuracy": 0.2291717991232872,
+      "num_tokens": 15419905.0,
+      "step": 8460
+    },
+    {
+      "entropy": 5.211508417129517,
+      "epoch": 7.013256006628003,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00015751957354659206,
+      "loss": 4.5173,
+      "mean_token_accuracy": 0.22768738716840745,
+      "num_tokens": 15429200.0,
+      "step": 8465
+    },
+    {
+      "entropy": 5.230689239501953,
+      "epoch": 7.017398508699254,
+      "grad_norm": 1.7734375,
+      "learning_rate": 0.00015724715454416206,
+      "loss": 4.5014,
+      "mean_token_accuracy": 0.23492475599050522,
+      "num_tokens": 15439328.0,
+      "step": 8470
+    },
+    {
+      "entropy": 5.239945983886718,
+      "epoch": 7.021541010770505,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00015697497306208926,
+      "loss": 4.449,
+      "mean_token_accuracy": 0.23373402953147887,
+      "num_tokens": 15447739.0,
+      "step": 8475
+    },
+    {
+      "entropy": 5.2335375308990475,
+      "epoch": 7.0256835128417565,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001567030296493934,
+      "loss": 4.4117,
+      "mean_token_accuracy": 0.2391123041510582,
+      "num_tokens": 15456598.0,
+      "step": 8480
+    },
+    {
+      "entropy": 5.264567565917969,
+      "epoch": 7.029826014913008,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00015643132485461395,
+      "loss": 4.5407,
+      "mean_token_accuracy": 0.22584614008665085,
+      "num_tokens": 15466633.0,
+      "step": 8485
+    },
+    {
+      "entropy": 5.269935941696167,
+      "epoch": 7.033968516984259,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.0001561598592258094,
+      "loss": 4.4839,
+      "mean_token_accuracy": 0.23932840377092363,
+      "num_tokens": 15476809.0,
+      "step": 8490
+    },
+    {
+      "entropy": 5.200196313858032,
+      "epoch": 7.03811101905551,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00015588863331055541,
+      "loss": 4.4345,
+      "mean_token_accuracy": 0.22763314247131347,
+      "num_tokens": 15484964.0,
+      "step": 8495
+    },
+    {
+      "entropy": 5.208463573455811,
+      "epoch": 7.042253521126761,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.0001556176476559444,
+      "loss": 4.4668,
+      "mean_token_accuracy": 0.2335176944732666,
+      "num_tokens": 15493600.0,
+      "step": 8500
+    },
+    {
+      "epoch": 7.042253521126761,
+      "eval_entropy": 5.129485646798921,
+      "eval_loss": 5.728693962097168,
+      "eval_mean_token_accuracy": 0.16830202490726767,
+      "eval_num_tokens": 15493600.0,
+      "eval_runtime": 2.7433,
+      "eval_samples_per_second": 1365.87,
+      "eval_steps_per_second": 170.962,
+      "step": 8500
+    },
+    {
+      "entropy": 5.164541816711425,
+      "epoch": 7.046396023198011,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00015534690280858405,
+      "loss": 4.4339,
+      "mean_token_accuracy": 0.23090869933366776,
+      "num_tokens": 15502614.0,
+      "step": 8505
+    },
+    {
+      "entropy": 5.342812156677246,
+      "epoch": 7.050538525269262,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00015507639931459615,
+      "loss": 4.5456,
+      "mean_token_accuracy": 0.23020666539669038,
+      "num_tokens": 15511521.0,
+      "step": 8510
+    },
+    {
+      "entropy": 5.217349433898926,
+      "epoch": 7.054681027340513,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000154806137719616,
+      "loss": 4.4838,
+      "mean_token_accuracy": 0.22951803505420684,
+      "num_tokens": 15520220.0,
+      "step": 8515
+    },
+    {
+      "entropy": 5.209629344940185,
+      "epoch": 7.0588235294117645,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001545361185687906,
+      "loss": 4.431,
+      "mean_token_accuracy": 0.2416904717683792,
+      "num_tokens": 15528924.0,
+      "step": 8520
+    },
+    {
+      "entropy": 5.182469224929809,
+      "epoch": 7.062966031483016,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00015426634240677824,
+      "loss": 4.4263,
+      "mean_token_accuracy": 0.23380360007286072,
+      "num_tokens": 15539722.0,
+      "step": 8525
+    },
+    {
+      "entropy": 5.2457551002502445,
+      "epoch": 7.067108533554267,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00015399680977774689,
+      "loss": 4.501,
+      "mean_token_accuracy": 0.2327603965997696,
+      "num_tokens": 15548682.0,
+      "step": 8530
+    },
+    {
+      "entropy": 5.270536422729492,
+      "epoch": 7.071251035625518,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00015372752122537318,
+      "loss": 4.4816,
+      "mean_token_accuracy": 0.23249582201242447,
+      "num_tokens": 15557508.0,
+      "step": 8535
+    },
+    {
+      "entropy": 5.2048643112182615,
+      "epoch": 7.075393537696769,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00015345847729284168,
+      "loss": 4.5156,
+      "mean_token_accuracy": 0.23168871104717254,
+      "num_tokens": 15566120.0,
+      "step": 8540
+    },
+    {
+      "entropy": 5.203616809844971,
+      "epoch": 7.07953603976802,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00015318967852284335,
+      "loss": 4.4143,
+      "mean_token_accuracy": 0.24245947301387788,
+      "num_tokens": 15575166.0,
+      "step": 8545
+    },
+    {
+      "entropy": 5.213142776489258,
+      "epoch": 7.083678541839271,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00015292112545757476,
+      "loss": 4.4618,
+      "mean_token_accuracy": 0.22540973722934723,
+      "num_tokens": 15585063.0,
+      "step": 8550
+    },
+    {
+      "entropy": 5.212160682678222,
+      "epoch": 7.087821043910522,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00015265281863873663,
+      "loss": 4.4774,
+      "mean_token_accuracy": 0.23299887031316757,
+      "num_tokens": 15594386.0,
+      "step": 8555
+    },
+    {
+      "entropy": 5.2236042499542235,
+      "epoch": 7.091963545981773,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00015238475860753338,
+      "loss": 4.5,
+      "mean_token_accuracy": 0.22962148636579513,
+      "num_tokens": 15603796.0,
+      "step": 8560
+    },
+    {
+      "entropy": 5.24848952293396,
+      "epoch": 7.096106048053024,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00015211694590467118,
+      "loss": 4.4305,
+      "mean_token_accuracy": 0.24062979519367217,
+      "num_tokens": 15612752.0,
+      "step": 8565
+    },
+    {
+      "entropy": 5.247216987609863,
+      "epoch": 7.100248550124275,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0001518493810703575,
+      "loss": 4.5228,
+      "mean_token_accuracy": 0.22897974401712418,
+      "num_tokens": 15621995.0,
+      "step": 8570
+    },
+    {
+      "entropy": 5.2101912021636965,
+      "epoch": 7.104391052195526,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00015158206464430002,
+      "loss": 4.4774,
+      "mean_token_accuracy": 0.2337987780570984,
+      "num_tokens": 15630390.0,
+      "step": 8575
+    },
+    {
+      "entropy": 5.154296445846557,
+      "epoch": 7.108533554266777,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000151314997165705,
+      "loss": 4.4282,
+      "mean_token_accuracy": 0.2341099962592125,
+      "num_tokens": 15639723.0,
+      "step": 8580
+    },
+    {
+      "entropy": 5.143678855895996,
+      "epoch": 7.112676056338028,
+      "grad_norm": 1.5625,
+      "learning_rate": 0.00015104817917327694,
+      "loss": 4.3389,
+      "mean_token_accuracy": 0.25343778878450396,
+      "num_tokens": 15647755.0,
+      "step": 8585
+    },
+    {
+      "entropy": 5.213784980773926,
+      "epoch": 7.116818558409279,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00015078161120521676,
+      "loss": 4.489,
+      "mean_token_accuracy": 0.24025783091783523,
+      "num_tokens": 15656949.0,
+      "step": 8590
+    },
+    {
+      "entropy": 5.183463621139526,
+      "epoch": 7.12096106048053,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001505152937992211,
+      "loss": 4.4389,
+      "mean_token_accuracy": 0.23687577545642852,
+      "num_tokens": 15666290.0,
+      "step": 8595
+    },
+    {
+      "entropy": 5.265416860580444,
+      "epoch": 7.125103562551781,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00015024922749248143,
+      "loss": 4.4796,
+      "mean_token_accuracy": 0.23623479157686234,
+      "num_tokens": 15675728.0,
+      "step": 8600
+    },
+    {
+      "entropy": 5.224102210998535,
+      "epoch": 7.1292460646230325,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00014998341282168243,
+      "loss": 4.4247,
+      "mean_token_accuracy": 0.24638550877571105,
+      "num_tokens": 15684519.0,
+      "step": 8605
+    },
+    {
+      "entropy": 5.225100469589234,
+      "epoch": 7.133388566694284,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0001497178503230015,
+      "loss": 4.5214,
+      "mean_token_accuracy": 0.2323624387383461,
+      "num_tokens": 15693813.0,
+      "step": 8610
+    },
+    {
+      "entropy": 5.2346985816955565,
+      "epoch": 7.137531068765535,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00014945254053210712,
+      "loss": 4.4972,
+      "mean_token_accuracy": 0.23152748346328736,
+      "num_tokens": 15702245.0,
+      "step": 8615
+    },
+    {
+      "entropy": 5.260819959640503,
+      "epoch": 7.141673570836786,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00014918748398415801,
+      "loss": 4.5132,
+      "mean_token_accuracy": 0.22982551604509355,
+      "num_tokens": 15712246.0,
+      "step": 8620
+    },
+    {
+      "entropy": 5.199164581298828,
+      "epoch": 7.145816072908037,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00014892268121380244,
+      "loss": 4.453,
+      "mean_token_accuracy": 0.23305327594280242,
+      "num_tokens": 15720904.0,
+      "step": 8625
+    },
+    {
+      "entropy": 5.201052474975586,
+      "epoch": 7.149958574979287,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00014865813275517637,
+      "loss": 4.4464,
+      "mean_token_accuracy": 0.24035904705524444,
+      "num_tokens": 15730595.0,
+      "step": 8630
+    },
+    {
+      "entropy": 5.160213327407837,
+      "epoch": 7.154101077050538,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00014839383914190302,
+      "loss": 4.4113,
+      "mean_token_accuracy": 0.2371663734316826,
+      "num_tokens": 15739475.0,
+      "step": 8635
+    },
+    {
+      "entropy": 5.202706527709961,
+      "epoch": 7.158243579121789,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001481298009070915,
+      "loss": 4.4357,
+      "mean_token_accuracy": 0.2400374785065651,
+      "num_tokens": 15748672.0,
+      "step": 8640
+    },
+    {
+      "entropy": 5.255636262893677,
+      "epoch": 7.16238608119304,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00014786601858333566,
+      "loss": 4.4665,
+      "mean_token_accuracy": 0.2322999894618988,
+      "num_tokens": 15757540.0,
+      "step": 8645
+    },
+    {
+      "entropy": 5.19217586517334,
+      "epoch": 7.1665285832642915,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00014760249270271341,
+      "loss": 4.4882,
+      "mean_token_accuracy": 0.23090190291404725,
+      "num_tokens": 15767198.0,
+      "step": 8650
+    },
+    {
+      "entropy": 5.181815910339355,
+      "epoch": 7.170671085335543,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00014733922379678513,
+      "loss": 4.444,
+      "mean_token_accuracy": 0.2331250548362732,
+      "num_tokens": 15776818.0,
+      "step": 8655
+    },
+    {
+      "entropy": 5.310377168655395,
+      "epoch": 7.174813587406794,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00014707621239659312,
+      "loss": 4.5959,
+      "mean_token_accuracy": 0.22294886857271196,
+      "num_tokens": 15786054.0,
+      "step": 8660
+    },
+    {
+      "entropy": 5.248941802978516,
+      "epoch": 7.178956089478045,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001468134590326601,
+      "loss": 4.5396,
+      "mean_token_accuracy": 0.22474610805511475,
+      "num_tokens": 15795367.0,
+      "step": 8665
+    },
+    {
+      "entropy": 5.275604391098023,
+      "epoch": 7.183098591549296,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001465509642349881,
+      "loss": 4.521,
+      "mean_token_accuracy": 0.22873310893774032,
+      "num_tokens": 15805006.0,
+      "step": 8670
+    },
+    {
+      "entropy": 5.279868030548096,
+      "epoch": 7.187241093620547,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00014628872853305808,
+      "loss": 4.5661,
+      "mean_token_accuracy": 0.21865685284137726,
+      "num_tokens": 15813978.0,
+      "step": 8675
+    },
+    {
+      "entropy": 5.2523754119873045,
+      "epoch": 7.191383595691798,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00014602675245582795,
+      "loss": 4.5336,
+      "mean_token_accuracy": 0.23225435018539428,
+      "num_tokens": 15824156.0,
+      "step": 8680
+    },
+    {
+      "entropy": 5.277890396118164,
+      "epoch": 7.195526097763049,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00014576503653173219,
+      "loss": 4.5739,
+      "mean_token_accuracy": 0.22429476380348207,
+      "num_tokens": 15833514.0,
+      "step": 8685
+    },
+    {
+      "entropy": 5.269798374176025,
+      "epoch": 7.1996685998342995,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00014550358128868036,
+      "loss": 4.5337,
+      "mean_token_accuracy": 0.2327092170715332,
+      "num_tokens": 15842047.0,
+      "step": 8690
+    },
+    {
+      "entropy": 5.283967399597168,
+      "epoch": 7.203811101905551,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00014524238725405615,
+      "loss": 4.5696,
+      "mean_token_accuracy": 0.230625981092453,
+      "num_tokens": 15851916.0,
+      "step": 8695
+    },
+    {
+      "entropy": 5.251355886459351,
+      "epoch": 7.207953603976802,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00014498145495471664,
+      "loss": 4.4735,
+      "mean_token_accuracy": 0.23564820736646652,
+      "num_tokens": 15860776.0,
+      "step": 8700
+    },
+    {
+      "entropy": 5.227689504623413,
+      "epoch": 7.212096106048053,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00014472078491699076,
+      "loss": 4.5561,
+      "mean_token_accuracy": 0.22959548383951187,
+      "num_tokens": 15870272.0,
+      "step": 8705
+    },
+    {
+      "entropy": 5.2320441722869875,
+      "epoch": 7.216238608119304,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0001444603776666784,
+      "loss": 4.4616,
+      "mean_token_accuracy": 0.23800074458122253,
+      "num_tokens": 15879448.0,
+      "step": 8710
+    },
+    {
+      "entropy": 5.309765768051148,
+      "epoch": 7.220381110190555,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00014420023372904944,
+      "loss": 4.5565,
+      "mean_token_accuracy": 0.22581303268671035,
+      "num_tokens": 15888806.0,
+      "step": 8715
+    },
+    {
+      "entropy": 5.223542404174805,
+      "epoch": 7.224523612261806,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00014394035362884274,
+      "loss": 4.5296,
+      "mean_token_accuracy": 0.23095161318778992,
+      "num_tokens": 15898443.0,
+      "step": 8720
+    },
+    {
+      "entropy": 5.220206260681152,
+      "epoch": 7.228666114333057,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00014368073789026482,
+      "loss": 4.4329,
+      "mean_token_accuracy": 0.2360845535993576,
+      "num_tokens": 15907759.0,
+      "step": 8725
+    },
+    {
+      "entropy": 5.230159711837769,
+      "epoch": 7.232808616404308,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00014342138703698882,
+      "loss": 4.4162,
+      "mean_token_accuracy": 0.24004922807216644,
+      "num_tokens": 15916687.0,
+      "step": 8730
+    },
+    {
+      "entropy": 5.2235363006591795,
+      "epoch": 7.2369511184755595,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.000143162301592154,
+      "loss": 4.48,
+      "mean_token_accuracy": 0.23941969871520996,
+      "num_tokens": 15925422.0,
+      "step": 8735
+    },
+    {
+      "entropy": 5.1952455043792725,
+      "epoch": 7.241093620546811,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00014290348207836385,
+      "loss": 4.4895,
+      "mean_token_accuracy": 0.2233983114361763,
+      "num_tokens": 15934279.0,
+      "step": 8740
+    },
+    {
+      "entropy": 5.200940227508545,
+      "epoch": 7.245236122618062,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001426449290176857,
+      "loss": 4.4485,
+      "mean_token_accuracy": 0.24146829843521117,
+      "num_tokens": 15943565.0,
+      "step": 8745
+    },
+    {
+      "entropy": 5.166256427764893,
+      "epoch": 7.249378624689312,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00014238664293164934,
+      "loss": 4.4391,
+      "mean_token_accuracy": 0.24021793454885482,
+      "num_tokens": 15952360.0,
+      "step": 8750
+    },
+    {
+      "entropy": 5.23963360786438,
+      "epoch": 7.253521126760563,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0001421286243412459,
+      "loss": 4.4776,
+      "mean_token_accuracy": 0.22992977499961853,
+      "num_tokens": 15960715.0,
+      "step": 8755
+    },
+    {
+      "entropy": 5.244385242462158,
+      "epoch": 7.257663628831814,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00014187087376692724,
+      "loss": 4.5058,
+      "mean_token_accuracy": 0.23199538439512252,
+      "num_tokens": 15969543.0,
+      "step": 8760
+    },
+    {
+      "entropy": 5.147299814224243,
+      "epoch": 7.261806130903065,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001416133917286043,
+      "loss": 4.4457,
+      "mean_token_accuracy": 0.23225277662277222,
+      "num_tokens": 15978256.0,
+      "step": 8765
+    },
+    {
+      "entropy": 5.203030776977539,
+      "epoch": 7.265948632974316,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001413561787456466,
+      "loss": 4.4327,
+      "mean_token_accuracy": 0.23831526637077333,
+      "num_tokens": 15987646.0,
+      "step": 8770
+    },
+    {
+      "entropy": 5.234354543685913,
+      "epoch": 7.2700911350455675,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00014109923533688068,
+      "loss": 4.4492,
+      "mean_token_accuracy": 0.23111054450273513,
+      "num_tokens": 15996767.0,
+      "step": 8775
+    },
+    {
+      "entropy": 5.211431694030762,
+      "epoch": 7.274233637116819,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0001408425620205897,
+      "loss": 4.4718,
+      "mean_token_accuracy": 0.23208508044481277,
+      "num_tokens": 16007170.0,
+      "step": 8780
+    },
+    {
+      "entropy": 5.255538749694824,
+      "epoch": 7.27837613918807,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001405861593145116,
+      "loss": 4.4987,
+      "mean_token_accuracy": 0.22857699245214463,
+      "num_tokens": 16015354.0,
+      "step": 8785
+    },
+    {
+      "entropy": 5.275969696044922,
+      "epoch": 7.282518641259321,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00014033002773583872,
+      "loss": 4.4955,
+      "mean_token_accuracy": 0.22325098514556885,
+      "num_tokens": 16024600.0,
+      "step": 8790
+    },
+    {
+      "entropy": 5.268600225448608,
+      "epoch": 7.286661143330572,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001400741678012164,
+      "loss": 4.4813,
+      "mean_token_accuracy": 0.2368546172976494,
+      "num_tokens": 16033301.0,
+      "step": 8795
+    },
+    {
+      "entropy": 5.252548122406006,
+      "epoch": 7.290803645401823,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00013981858002674223,
+      "loss": 4.5322,
+      "mean_token_accuracy": 0.22765524685382843,
+      "num_tokens": 16043539.0,
+      "step": 8800
+    },
+    {
+      "entropy": 5.284696912765503,
+      "epoch": 7.294946147473074,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001395632649279645,
+      "loss": 4.5687,
+      "mean_token_accuracy": 0.22771918177604675,
+      "num_tokens": 16052861.0,
+      "step": 8805
+    },
+    {
+      "entropy": 5.268942785263062,
+      "epoch": 7.299088649544325,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00013930822301988177,
+      "loss": 4.4622,
+      "mean_token_accuracy": 0.23665641099214554,
+      "num_tokens": 16062454.0,
+      "step": 8810
+    },
+    {
+      "entropy": 5.201201915740967,
+      "epoch": 7.3032311516155755,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00013905345481694147,
+      "loss": 4.4705,
+      "mean_token_accuracy": 0.2322714164853096,
+      "num_tokens": 16071432.0,
+      "step": 8815
+    },
+    {
+      "entropy": 5.172683620452881,
+      "epoch": 7.307373653686827,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001387989608330388,
+      "loss": 4.4437,
+      "mean_token_accuracy": 0.23548867851495742,
+      "num_tokens": 16080411.0,
+      "step": 8820
+    },
+    {
+      "entropy": 5.220728492736816,
+      "epoch": 7.311516155758078,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013854474158151602,
+      "loss": 4.486,
+      "mean_token_accuracy": 0.22679401338100433,
+      "num_tokens": 16089396.0,
+      "step": 8825
+    },
+    {
+      "entropy": 5.26025390625,
+      "epoch": 7.315658657829329,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00013829079757516106,
+      "loss": 4.5679,
+      "mean_token_accuracy": 0.224435892701149,
+      "num_tokens": 16099308.0,
+      "step": 8830
+    },
+    {
+      "entropy": 5.22006459236145,
+      "epoch": 7.31980115990058,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013803712932620681,
+      "loss": 4.5028,
+      "mean_token_accuracy": 0.22673140466213226,
+      "num_tokens": 16109336.0,
+      "step": 8835
+    },
+    {
+      "entropy": 5.267045164108277,
+      "epoch": 7.323943661971831,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001377837373463298,
+      "loss": 4.4931,
+      "mean_token_accuracy": 0.2302021786570549,
+      "num_tokens": 16118483.0,
+      "step": 8840
+    },
+    {
+      "entropy": 5.240559911727905,
+      "epoch": 7.328086164043082,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0001375306221466494,
+      "loss": 4.4713,
+      "mean_token_accuracy": 0.22934858202934266,
+      "num_tokens": 16127302.0,
+      "step": 8845
+    },
+    {
+      "entropy": 5.200973415374756,
+      "epoch": 7.332228666114333,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00013727778423772654,
+      "loss": 4.5353,
+      "mean_token_accuracy": 0.22502323240041733,
+      "num_tokens": 16136361.0,
+      "step": 8850
+    },
+    {
+      "entropy": 5.302484941482544,
+      "epoch": 7.336371168185584,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00013702522412956304,
+      "loss": 4.5868,
+      "mean_token_accuracy": 0.22618300914764405,
+      "num_tokens": 16146071.0,
+      "step": 8855
+    },
+    {
+      "entropy": 5.299910354614258,
+      "epoch": 7.340513670256835,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00013677294233160016,
+      "loss": 4.5189,
+      "mean_token_accuracy": 0.22607939094305038,
+      "num_tokens": 16154606.0,
+      "step": 8860
+    },
+    {
+      "entropy": 5.193687105178833,
+      "epoch": 7.3446561723280865,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013652093935271776,
+      "loss": 4.4767,
+      "mean_token_accuracy": 0.24149058610200883,
+      "num_tokens": 16163648.0,
+      "step": 8865
+    },
+    {
+      "entropy": 5.282410192489624,
+      "epoch": 7.348798674399337,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013626921570123357,
+      "loss": 4.5431,
+      "mean_token_accuracy": 0.22477766126394272,
+      "num_tokens": 16172693.0,
+      "step": 8870
+    },
+    {
+      "entropy": 5.204723453521728,
+      "epoch": 7.352941176470588,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00013601777188490156,
+      "loss": 4.4384,
+      "mean_token_accuracy": 0.23236895948648453,
+      "num_tokens": 16181689.0,
+      "step": 8875
+    },
+    {
+      "entropy": 5.202375221252441,
+      "epoch": 7.357083678541839,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0001357666084109115,
+      "loss": 4.5693,
+      "mean_token_accuracy": 0.22547451853752137,
+      "num_tokens": 16191254.0,
+      "step": 8880
+    },
+    {
+      "entropy": 5.271569538116455,
+      "epoch": 7.36122618061309,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001355157257858875,
+      "loss": 4.4698,
+      "mean_token_accuracy": 0.23402072489261627,
+      "num_tokens": 16199613.0,
+      "step": 8885
+    },
+    {
+      "entropy": 5.213530111312866,
+      "epoch": 7.365368682684341,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013526512451588718,
+      "loss": 4.4584,
+      "mean_token_accuracy": 0.23570594042539597,
+      "num_tokens": 16208345.0,
+      "step": 8890
+    },
+    {
+      "entropy": 5.259526348114013,
+      "epoch": 7.369511184755592,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0001350148051064008,
+      "loss": 4.5219,
+      "mean_token_accuracy": 0.23035535961389542,
+      "num_tokens": 16217964.0,
+      "step": 8895
+    },
+    {
+      "entropy": 5.259307479858398,
+      "epoch": 7.373653686826843,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00013476476806234983,
+      "loss": 4.5768,
+      "mean_token_accuracy": 0.2261824905872345,
+      "num_tokens": 16227140.0,
+      "step": 8900
+    },
+    {
+      "entropy": 5.320018339157104,
+      "epoch": 7.3777961888980945,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0001345150138880865,
+      "loss": 4.5291,
+      "mean_token_accuracy": 0.22605375498533248,
+      "num_tokens": 16237416.0,
+      "step": 8905
+    },
+    {
+      "entropy": 5.313902473449707,
+      "epoch": 7.381938690969346,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00013426554308739214,
+      "loss": 4.5596,
+      "mean_token_accuracy": 0.2251575157046318,
+      "num_tokens": 16246682.0,
+      "step": 8910
+    },
+    {
+      "entropy": 5.246820068359375,
+      "epoch": 7.386081193040597,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00013401635616347655,
+      "loss": 4.5364,
+      "mean_token_accuracy": 0.2272168666124344,
+      "num_tokens": 16255450.0,
+      "step": 8915
+    },
+    {
+      "entropy": 5.129112625122071,
+      "epoch": 7.390223695111848,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013376745361897712,
+      "loss": 4.4317,
+      "mean_token_accuracy": 0.24068772196769714,
+      "num_tokens": 16265014.0,
+      "step": 8920
+    },
+    {
+      "entropy": 5.284948348999023,
+      "epoch": 7.394366197183099,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00013351883595595743,
+      "loss": 4.5167,
+      "mean_token_accuracy": 0.23356657475233078,
+      "num_tokens": 16273309.0,
+      "step": 8925
+    },
+    {
+      "entropy": 5.225611877441406,
+      "epoch": 7.39850869925435,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001332705036759065,
+      "loss": 4.4788,
+      "mean_token_accuracy": 0.22821299731731415,
+      "num_tokens": 16282129.0,
+      "step": 8930
+    },
+    {
+      "entropy": 5.155527019500733,
+      "epoch": 7.4026512013256,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0001330224572797377,
+      "loss": 4.4512,
+      "mean_token_accuracy": 0.2339691624045372,
+      "num_tokens": 16291208.0,
+      "step": 8935
+    },
+    {
+      "entropy": 5.221278285980224,
+      "epoch": 7.406793703396851,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00013277469726778756,
+      "loss": 4.4484,
+      "mean_token_accuracy": 0.2374333918094635,
+      "num_tokens": 16300111.0,
+      "step": 8940
+    },
+    {
+      "entropy": 5.253650236129761,
+      "epoch": 7.4109362054681025,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001325272241398153,
+      "loss": 4.4236,
+      "mean_token_accuracy": 0.24237828254699706,
+      "num_tokens": 16308653.0,
+      "step": 8945
+    },
+    {
+      "entropy": 5.303265380859375,
+      "epoch": 7.415078707539354,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013228003839500113,
+      "loss": 4.5048,
+      "mean_token_accuracy": 0.23030605614185334,
+      "num_tokens": 16317986.0,
+      "step": 8950
+    },
+    {
+      "entropy": 5.250785398483276,
+      "epoch": 7.419221209610605,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001320331405319458,
+      "loss": 4.4978,
+      "mean_token_accuracy": 0.23015536218881608,
+      "num_tokens": 16326889.0,
+      "step": 8955
+    },
+    {
+      "entropy": 5.175545310974121,
+      "epoch": 7.423363711681856,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013178653104866926,
+      "loss": 4.5135,
+      "mean_token_accuracy": 0.2249376356601715,
+      "num_tokens": 16336121.0,
+      "step": 8960
+    },
+    {
+      "entropy": 5.223824167251587,
+      "epoch": 7.427506213753107,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.00013154021044260966,
+      "loss": 4.5654,
+      "mean_token_accuracy": 0.22634392529726027,
+      "num_tokens": 16345216.0,
+      "step": 8965
+    },
+    {
+      "entropy": 5.167584037780761,
+      "epoch": 7.431648715824358,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00013129417921062275,
+      "loss": 4.4047,
+      "mean_token_accuracy": 0.24216125905513763,
+      "num_tokens": 16353735.0,
+      "step": 8970
+    },
+    {
+      "entropy": 5.213489151000976,
+      "epoch": 7.435791217895609,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001310484378489803,
+      "loss": 4.4363,
+      "mean_token_accuracy": 0.23906279355287552,
+      "num_tokens": 16362474.0,
+      "step": 8975
+    },
+    {
+      "entropy": 5.264641571044922,
+      "epoch": 7.43993371996686,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013080298685336957,
+      "loss": 4.5711,
+      "mean_token_accuracy": 0.22207222431898116,
+      "num_tokens": 16371948.0,
+      "step": 8980
+    },
+    {
+      "entropy": 5.193941831588745,
+      "epoch": 7.444076222038111,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00013055782671889205,
+      "loss": 4.4657,
+      "mean_token_accuracy": 0.23412289023399352,
+      "num_tokens": 16380849.0,
+      "step": 8985
+    },
+    {
+      "entropy": 5.256904029846192,
+      "epoch": 7.448218724109362,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0001303129579400624,
+      "loss": 4.5758,
+      "mean_token_accuracy": 0.21966907531023025,
+      "num_tokens": 16389495.0,
+      "step": 8990
+    },
+    {
+      "entropy": 5.242080307006836,
+      "epoch": 7.452361226180613,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001300683810108078,
+      "loss": 4.44,
+      "mean_token_accuracy": 0.23775164783000946,
+      "num_tokens": 16397744.0,
+      "step": 8995
+    },
+    {
+      "entropy": 5.198620891571045,
+      "epoch": 7.456503728251864,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0001298240964244666,
+      "loss": 4.4774,
+      "mean_token_accuracy": 0.22778769880533217,
+      "num_tokens": 16406785.0,
+      "step": 9000
+    },
+    {
+      "epoch": 7.456503728251864,
+      "eval_entropy": 5.137435206472238,
+      "eval_loss": 5.726848125457764,
+      "eval_mean_token_accuracy": 0.16911925307151351,
+      "eval_num_tokens": 16406785.0,
+      "eval_runtime": 2.7388,
+      "eval_samples_per_second": 1368.12,
+      "eval_steps_per_second": 171.243,
+      "step": 9000
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 12060,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 2.4488861325696e+16,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}
diff --git a/checkpoint-9000/training_args.bin b/checkpoint-9000/training_args.bin
new file mode 100644
index 0000000..47a7b32
--- /dev/null
+++ b/checkpoint-9000/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e406e906697be5d5c4bea7f90a038122ca162eb6b7e40512a32661ef55af9075
+size 6353
diff --git a/checkpoint-9500/added_tokens.json b/checkpoint-9500/added_tokens.json
new file mode 100644
index 0000000..b3dbcdb
--- /dev/null
+++ b/checkpoint-9500/added_tokens.json
@@ -0,0 +1,1202 @@
+{
+  "<pad>": 50002,
+  "[CLS]": 50000,
+  "[MASK]": 50003,
+  "[SEP]": 50001,
+  "[XXXXX0]": 50771,
+  "[XXXXX1000]": 50549,
+  "[XXXXX1001]": 50657,
+  "[XXXXX1002]": 51158,
+  "[XXXXX1003]": 51044,
+  "[XXXXX1004]": 50688,
+  "[XXXXX1005]": 50689,
+  "[XXXXX1006]": 50410,
+  "[XXXXX1007]": 50724,
+  "[XXXXX1008]": 50171,
+  "[XXXXX1009]": 51077,
+  "[XXXXX100]": 50091,
+  "[XXXXX1010]": 50639,
+  "[XXXXX1011]": 51094,
+  "[XXXXX1012]": 50392,
+  "[XXXXX1013]": 50626,
+  "[XXXXX1014]": 50991,
+  "[XXXXX1015]": 50529,
+  "[XXXXX1016]": 51193,
+  "[XXXXX1017]": 51073,
+  "[XXXXX1018]": 51104,
+  "[XXXXX1019]": 50775,
+  "[XXXXX101]": 50139,
+  "[XXXXX1020]": 50157,
+  "[XXXXX1021]": 50934,
+  "[XXXXX1022]": 51159,
+  "[XXXXX1023]": 50048,
+  "[XXXXX1024]": 51123,
+  "[XXXXX1025]": 50084,
+  "[XXXXX1026]": 50813,
+  "[XXXXX1027]": 50725,
+  "[XXXXX1028]": 50931,
+  "[XXXXX1029]": 50233,
+  "[XXXXX102]": 50213,
+  "[XXXXX1030]": 51023,
+  "[XXXXX1031]": 50098,
+  "[XXXXX1032]": 50802,
+  "[XXXXX1033]": 50061,
+  "[XXXXX1034]": 51139,
+  "[XXXXX1035]": 51110,
+  "[XXXXX1036]": 50204,
+  "[XXXXX1037]": 50023,
+  "[XXXXX1038]": 50142,
+  "[XXXXX1039]": 50328,
+  "[XXXXX103]": 50087,
+  "[XXXXX1040]": 50435,
+  "[XXXXX1041]": 50489,
+  "[XXXXX1042]": 50216,
+  "[XXXXX1043]": 50144,
+  "[XXXXX1044]": 50832,
+  "[XXXXX1045]": 50566,
+  "[XXXXX1046]": 50922,
+  "[XXXXX1047]": 50796,
+  "[XXXXX1048]": 50533,
+  "[XXXXX1049]": 50433,
+  "[XXXXX104]": 50478,
+  "[XXXXX1050]": 50953,
+  "[XXXXX1051]": 50497,
+  "[XXXXX1052]": 50655,
+  "[XXXXX1053]": 50881,
+  "[XXXXX1054]": 50461,
+  "[XXXXX1055]": 50052,
+  "[XXXXX1056]": 50219,
+  "[XXXXX1057]": 50789,
+  "[XXXXX1058]": 50121,
+  "[XXXXX1059]": 51002,
+  "[XXXXX105]": 51192,
+  "[XXXXX1060]": 50158,
+  "[XXXXX1061]": 50352,
+  "[XXXXX1062]": 50637,
+  "[XXXXX1063]": 50440,
+  "[XXXXX1064]": 50590,
+  "[XXXXX1065]": 51107,
+  "[XXXXX1066]": 50758,
+  "[XXXXX1067]": 51011,
+  "[XXXXX1068]": 50985,
+  "[XXXXX1069]": 51175,
+  "[XXXXX106]": 50532,
+  "[XXXXX1070]": 50790,
+  "[XXXXX1071]": 50394,
+  "[XXXXX1072]": 50852,
+  "[XXXXX1073]": 50869,
+  "[XXXXX1074]": 50126,
+  "[XXXXX1075]": 50783,
+  "[XXXXX1076]": 50806,
+  "[XXXXX1077]": 50882,
+  "[XXXXX1078]": 50726,
+  "[XXXXX1079]": 51010,
+  "[XXXXX107]": 50714,
+  "[XXXXX1080]": 50168,
+  "[XXXXX1081]": 50425,
+  "[XXXXX1082]": 50848,
+  "[XXXXX1083]": 50014,
+  "[XXXXX1084]": 50341,
+  "[XXXXX1085]": 50734,
+  "[XXXXX1086]": 50664,
+  "[XXXXX1087]": 51007,
+  "[XXXXX1088]": 51151,
+  "[XXXXX1089]": 50269,
+  "[XXXXX108]": 50996,
+  "[XXXXX1090]": 50826,
+  "[XXXXX1091]": 51105,
+  "[XXXXX1092]": 50731,
+  "[XXXXX1093]": 50856,
+  "[XXXXX1094]": 50369,
+  "[XXXXX1095]": 50065,
+  "[XXXXX1096]": 50309,
+  "[XXXXX1097]": 50838,
+  "[XXXXX1098]": 50451,
+  "[XXXXX1099]": 50384,
+  "[XXXXX109]": 50543,
+  "[XXXXX10]": 50325,
+  "[XXXXX1100]": 50318,
+  "[XXXXX1101]": 50764,
+  "[XXXXX1102]": 51025,
+  "[XXXXX1103]": 50642,
+  "[XXXXX1104]": 50665,
+  "[XXXXX1105]": 50855,
+  "[XXXXX1106]": 51063,
+  "[XXXXX1107]": 50025,
+  "[XXXXX1108]": 50122,
+  "[XXXXX1109]": 50470,
+  "[XXXXX110]": 50062,
+  "[XXXXX1110]": 51019,
+  "[XXXXX1111]": 51124,
+  "[XXXXX1112]": 50146,
+  "[XXXXX1113]": 51125,
+  "[XXXXX1114]": 50434,
+  "[XXXXX1115]": 50818,
+  "[XXXXX1116]": 50960,
+  "[XXXXX1117]": 50258,
+  "[XXXXX1118]": 50596,
+  "[XXXXX1119]": 50083,
+  "[XXXXX111]": 51064,
+  "[XXXXX1120]": 50915,
+  "[XXXXX1121]": 50835,
+  "[XXXXX1122]": 51056,
+  "[XXXXX1123]": 50172,
+  "[XXXXX1124]": 50972,
+  "[XXXXX1125]": 50275,
+  "[XXXXX1126]": 50430,
+  "[XXXXX1127]": 50743,
+  "[XXXXX1128]": 50551,
+  "[XXXXX1129]": 50439,
+  "[XXXXX112]": 50819,
+  "[XXXXX1130]": 50536,
+  "[XXXXX1131]": 50622,
+  "[XXXXX1132]": 50623,
+  "[XXXXX1133]": 50117,
+  "[XXXXX1134]": 50251,
+  "[XXXXX1135]": 50678,
+  "[XXXXX1136]": 50316,
+  "[XXXXX1137]": 50905,
+  "[XXXXX1138]": 50992,
+  "[XXXXX1139]": 50851,
+  "[XXXXX113]": 50443,
+  "[XXXXX1140]": 50499,
+  "[XXXXX1141]": 50629,
+  "[XXXXX1142]": 50944,
+  "[XXXXX1143]": 50373,
+  "[XXXXX1144]": 50123,
+  "[XXXXX1145]": 50173,
+  "[XXXXX1146]": 50891,
+  "[XXXXX1147]": 50471,
+  "[XXXXX1148]": 50560,
+  "[XXXXX1149]": 50541,
+  "[XXXXX114]": 50631,
+  "[XXXXX1150]": 50033,
+  "[XXXXX1151]": 50063,
+  "[XXXXX1152]": 50767,
+  "[XXXXX1153]": 50897,
+  "[XXXXX1154]": 50568,
+  "[XXXXX1155]": 51131,
+  "[XXXXX1156]": 50009,
+  "[XXXXX1157]": 50417,
+  "[XXXXX1158]": 50477,
+  "[XXXXX1159]": 50941,
+  "[XXXXX115]": 50294,
+  "[XXXXX1160]": 50679,
+  "[XXXXX1161]": 51108,
+  "[XXXXX1162]": 50332,
+  "[XXXXX1163]": 50424,
+  "[XXXXX1164]": 50473,
+  "[XXXXX1165]": 50793,
+  "[XXXXX1166]": 50453,
+  "[XXXXX1167]": 50807,
+  "[XXXXX1168]": 50128,
+  "[XXXXX1169]": 50039,
+  "[XXXXX116]": 50759,
+  "[XXXXX1170]": 50735,
+  "[XXXXX1171]": 50366,
+  "[XXXXX1172]": 50808,
+  "[XXXXX1173]": 50426,
+  "[XXXXX1174]": 50076,
+  "[XXXXX1175]": 50943,
+  "[XXXXX1176]": 50252,
+  "[XXXXX1177]": 50999,
+  "[XXXXX1178]": 50264,
+  "[XXXXX1179]": 50607,
+  "[XXXXX117]": 51036,
+  "[XXXXX1180]": 50986,
+  "[XXXXX1181]": 50744,
+  "[XXXXX1182]": 50186,
+  "[XXXXX1183]": 50555,
+  "[XXXXX1184]": 51076,
+  "[XXXXX1185]": 50849,
+  "[XXXXX1186]": 51128,
+  "[XXXXX1187]": 50858,
+  "[XXXXX1188]": 50656,
+  "[XXXXX1189]": 50064,
+  "[XXXXX118]": 50081,
+  "[XXXXX1190]": 51197,
+  "[XXXXX1191]": 50104,
+  "[XXXXX1192]": 50045,
+  "[XXXXX1193]": 50404,
+  "[XXXXX1194]": 50690,
+  "[XXXXX1195]": 50495,
+  "[XXXXX119]": 50108,
+  "[XXXXX11]": 50976,
+  "[XXXXX120]": 51081,
+  "[XXXXX121]": 50464,
+  "[XXXXX122]": 50829,
+  "[XXXXX123]": 50766,
+  "[XXXXX124]": 50732,
+  "[XXXXX125]": 50221,
+  "[XXXXX126]": 50810,
+  "[XXXXX127]": 50130,
+  "[XXXXX128]": 50751,
+  "[XXXXX129]": 50662,
+  "[XXXXX12]": 50602,
+  "[XXXXX130]": 50035,
+  "[XXXXX131]": 50715,
+  "[XXXXX132]": 50340,
+  "[XXXXX133]": 50563,
+  "[XXXXX134]": 50993,
+  "[XXXXX135]": 50304,
+  "[XXXXX136]": 50131,
+  "[XXXXX137]": 50578,
+  "[XXXXX138]": 50757,
+  "[XXXXX139]": 50582,
+  "[XXXXX13]": 50105,
+  "[XXXXX140]": 50085,
+  "[XXXXX141]": 50553,
+  "[XXXXX142]": 50749,
+  "[XXXXX143]": 50351,
+  "[XXXXX144]": 51024,
+  "[XXXXX145]": 51144,
+  "[XXXXX146]": 50042,
+  "[XXXXX147]": 50145,
+  "[XXXXX148]": 50066,
+  "[XXXXX149]": 50876,
+  "[XXXXX14]": 51006,
+  "[XXXXX150]": 50280,
+  "[XXXXX151]": 50093,
+  "[XXXXX152]": 50638,
+  "[XXXXX153]": 50684,
+  "[XXXXX154]": 50820,
+  "[XXXXX155]": 51196,
+  "[XXXXX156]": 50317,
+  "[XXXXX157]": 50284,
+  "[XXXXX158]": 50288,
+  "[XXXXX159]": 50814,
+  "[XXXXX15]": 50608,
+  "[XXXXX160]": 50004,
+  "[XXXXX161]": 50008,
+  "[XXXXX162]": 50377,
+  "[XXXXX163]": 50214,
+  "[XXXXX164]": 50708,
+  "[XXXXX165]": 50390,
+  "[XXXXX166]": 50741,
+  "[XXXXX167]": 50445,
+  "[XXXXX168]": 50936,
+  "[XXXXX169]": 50896,
+  "[XXXXX16]": 50442,
+  "[XXXXX170]": 50109,
+  "[XXXXX171]": 50140,
+  "[XXXXX172]": 50427,
+  "[XXXXX173]": 51074,
+  "[XXXXX174]": 50162,
+  "[XXXXX175]": 51015,
+  "[XXXXX176]": 50524,
+  "[XXXXX177]": 50673,
+  "[XXXXX178]": 50054,
+  "[XXXXX179]": 50805,
+  "[XXXXX17]": 50482,
+  "[XXXXX180]": 50253,
+  "[XXXXX181]": 50493,
+  "[XXXXX182]": 50421,
+  "[XXXXX183]": 51050,
+  "[XXXXX184]": 50521,
+  "[XXXXX185]": 50188,
+  "[XXXXX186]": 50147,
+  "[XXXXX187]": 50201,
+  "[XXXXX188]": 50973,
+  "[XXXXX189]": 50409,
+  "[XXXXX18]": 50115,
+  "[XXXXX190]": 50051,
+  "[XXXXX191]": 51020,
+  "[XXXXX192]": 51047,
+  "[XXXXX193]": 50669,
+  "[XXXXX194]": 50643,
+  "[XXXXX195]": 50159,
+  "[XXXXX196]": 50649,
+  "[XXXXX197]": 51178,
+  "[XXXXX198]": 50043,
+  "[XXXXX199]": 51147,
+  "[XXXXX19]": 51127,
+  "[XXXXX1]": 51114,
+  "[XXXXX200]": 50840,
+  "[XXXXX201]": 50365,
+  "[XXXXX202]": 50232,
+  "[XXXXX203]": 50241,
+  "[XXXXX204]": 50548,
+  "[XXXXX205]": 50781,
+  "[XXXXX206]": 50923,
+  "[XXXXX207]": 51115,
+  "[XXXXX208]": 50344,
+  "[XXXXX209]": 50299,
+  "[XXXXX20]": 51031,
+  "[XXXXX210]": 51179,
+  "[XXXXX211]": 51163,
+  "[XXXXX212]": 50562,
+  "[XXXXX213]": 50094,
+  "[XXXXX214]": 50257,
+  "[XXXXX215]": 50967,
+  "[XXXXX216]": 50523,
+  "[XXXXX217]": 51132,
+  "[XXXXX218]": 51146,
+  "[XXXXX219]": 50411,
+  "[XXXXX21]": 50354,
+  "[XXXXX220]": 50853,
+  "[XXXXX221]": 50886,
+  "[XXXXX222]": 50600,
+  "[XXXXX223]": 50873,
+  "[XXXXX224]": 50416,
+  "[XXXXX225]": 50675,
+  "[XXXXX226]": 50583,
+  "[XXXXX227]": 50151,
+  "[XXXXX228]": 50927,
+  "[XXXXX229]": 50609,
+  "[XXXXX22]": 50589,
+  "[XXXXX230]": 50238,
+  "[XXXXX231]": 50242,
+  "[XXXXX232]": 51016,
+  "[XXXXX233]": 50406,
+  "[XXXXX234]": 50908,
+  "[XXXXX235]": 50024,
+  "[XXXXX236]": 50270,
+  "[XXXXX237]": 50132,
+  "[XXXXX238]": 50800,
+  "[XXXXX239]": 50236,
+  "[XXXXX23]": 50007,
+  "[XXXXX240]": 50005,
+  "[XXXXX241]": 50894,
+  "[XXXXX242]": 50694,
+  "[XXXXX243]": 51071,
+  "[XXXXX244]": 51017,
+  "[XXXXX245]": 50068,
+  "[XXXXX246]": 50682,
+  "[XXXXX247]": 50913,
+  "[XXXXX248]": 51028,
+  "[XXXXX249]": 50037,
+  "[XXXXX24]": 51169,
+  "[XXXXX250]": 50747,
+  "[XXXXX251]": 50947,
+  "[XXXXX252]": 50329,
+  "[XXXXX253]": 50612,
+  "[XXXXX254]": 50110,
+  "[XXXXX255]": 50824,
+  "[XXXXX256]": 50558,
+  "[XXXXX257]": 50969,
+  "[XXXXX258]": 50729,
+  "[XXXXX259]": 50125,
+  "[XXXXX25]": 51160,
+  "[XXXXX260]": 50040,
+  "[XXXXX261]": 51038,
+  "[XXXXX262]": 50347,
+  "[XXXXX263]": 50740,
+  "[XXXXX264]": 51195,
+  "[XXXXX265]": 50879,
+  "[XXXXX266]": 50770,
+  "[XXXXX267]": 50178,
+  "[XXXXX268]": 50804,
+  "[XXXXX269]": 50906,
+  "[XXXXX26]": 50150,
+  "[XXXXX270]": 51191,
+  "[XXXXX271]": 50047,
+  "[XXXXX272]": 50195,
+  "[XXXXX273]": 50554,
+  "[XXXXX274]": 50833,
+  "[XXXXX275]": 50346,
+  "[XXXXX276]": 50950,
+  "[XXXXX277]": 50864,
+  "[XXXXX278]": 50259,
+  "[XXXXX279]": 50671,
+  "[XXXXX27]": 50468,
+  "[XXXXX280]": 50082,
+  "[XXXXX281]": 50565,
+  "[XXXXX282]": 50984,
+  "[XXXXX283]": 50650,
+  "[XXXXX284]": 50975,
+  "[XXXXX285]": 50603,
+  "[XXXXX286]": 50027,
+  "[XXXXX287]": 50181,
+  "[XXXXX288]": 50981,
+  "[XXXXX289]": 50885,
+  "[XXXXX28]": 50249,
+  "[XXXXX290]": 50522,
+  "[XXXXX291]": 50050,
+  "[XXXXX292]": 50313,
+  "[XXXXX293]": 50503,
+  "[XXXXX294]": 51176,
+  "[XXXXX295]": 51177,
+  "[XXXXX296]": 50379,
+  "[XXXXX297]": 50635,
+  "[XXXXX298]": 50723,
+  "[XXXXX299]": 50200,
+  "[XXXXX29]": 50892,
+  "[XXXXX2]": 51119,
+  "[XXXXX300]": 51026,
+  "[XXXXX301]": 50528,
+  "[XXXXX302]": 51149,
+  "[XXXXX303]": 50044,
+  "[XXXXX304]": 50209,
+  "[XXXXX305]": 50988,
+  "[XXXXX306]": 50518,
+  "[XXXXX307]": 50088,
+  "[XXXXX308]": 50733,
+  "[XXXXX309]": 51066,
+  "[XXXXX30]": 50506,
+  "[XXXXX310]": 50285,
+  "[XXXXX311]": 50859,
+  "[XXXXX312]": 50263,
+  "[XXXXX313]": 50594,
+  "[XXXXX314]": 51103,
+  "[XXXXX315]": 50871,
+  "[XXXXX316]": 50300,
+  "[XXXXX317]": 50760,
+  "[XXXXX318]": 50055,
+  "[XXXXX319]": 50389,
+  "[XXXXX31]": 50212,
+  "[XXXXX320]": 50444,
+  "[XXXXX321]": 50994,
+  "[XXXXX322]": 50281,
+  "[XXXXX323]": 50179,
+  "[XXXXX324]": 50455,
+  "[XXXXX325]": 50970,
+  "[XXXXX326]": 50666,
+  "[XXXXX327]": 50604,
+  "[XXXXX328]": 50627,
+  "[XXXXX329]": 50475,
+  "[XXXXX32]": 50277,
+  "[XXXXX330]": 50667,
+  "[XXXXX331]": 50348,
+  "[XXXXX332]": 50772,
+  "[XXXXX333]": 50163,
+  "[XXXXX334]": 50569,
+  "[XXXXX335]": 50018,
+  "[XXXXX336]": 50883,
+  "[XXXXX337]": 50067,
+  "[XXXXX338]": 51184,
+  "[XXXXX339]": 50997,
+  "[XXXXX33]": 50403,
+  "[XXXXX340]": 51013,
+  "[XXXXX341]": 50957,
+  "[XXXXX342]": 51106,
+  "[XXXXX343]": 51174,
+  "[XXXXX344]": 50391,
+  "[XXXXX345]": 50948,
+  "[XXXXX346]": 50180,
+  "[XXXXX347]": 50811,
+  "[XXXXX348]": 50401,
+  "[XXXXX349]": 50911,
+  "[XXXXX34]": 50223,
+  "[XXXXX350]": 51089,
+  "[XXXXX351]": 50777,
+  "[XXXXX352]": 50189,
+  "[XXXXX353]": 50492,
+  "[XXXXX354]": 50205,
+  "[XXXXX355]": 50374,
+  "[XXXXX356]": 51152,
+  "[XXXXX357]": 50695,
+  "[XXXXX358]": 51117,
+  "[XXXXX359]": 50573,
+  "[XXXXX35]": 50752,
+  "[XXXXX360]": 50955,
+  "[XXXXX361]": 50349,
+  "[XXXXX362]": 51137,
+  "[XXXXX363]": 50641,
+  "[XXXXX364]": 51148,
+  "[XXXXX365]": 50255,
+  "[XXXXX366]": 50310,
+  "[XXXXX367]": 50314,
+  "[XXXXX368]": 50971,
+  "[XXXXX369]": 50916,
+  "[XXXXX36]": 50437,
+  "[XXXXX370]": 51096,
+  "[XXXXX371]": 50557,
+  "[XXXXX372]": 51095,
+  "[XXXXX373]": 50382,
+  "[XXXXX374]": 50119,
+  "[XXXXX375]": 50958,
+  "[XXXXX376]": 50624,
+  "[XXXXX377]": 50483,
+  "[XXXXX378]": 50605,
+  "[XXXXX379]": 50017,
+  "[XXXXX37]": 50706,
+  "[XXXXX380]": 50246,
+  "[XXXXX381]": 50588,
+  "[XXXXX382]": 51008,
+  "[XXXXX383]": 50801,
+  "[XXXXX384]": 50290,
+  "[XXXXX385]": 50899,
+  "[XXXXX386]": 50206,
+  "[XXXXX387]": 50716,
+  "[XXXXX388]": 51082,
+  "[XXXXX389]": 50177,
+  "[XXXXX38]": 50736,
+  "[XXXXX390]": 50282,
+  "[XXXXX391]": 51183,
+  "[XXXXX392]": 50286,
+  "[XXXXX393]": 50659,
+  "[XXXXX394]": 50378,
+  "[XXXXX395]": 50709,
+  "[XXXXX396]": 50028,
+  "[XXXXX397]": 50235,
+  "[XXXXX398]": 51014,
+  "[XXXXX399]": 50880,
+  "[XXXXX39]": 50305,
+  "[XXXXX3]": 50077,
+  "[XXXXX400]": 50155,
+  "[XXXXX401]": 50710,
+  "[XXXXX402]": 50507,
+  "[XXXXX403]": 50860,
+  "[XXXXX404]": 50661,
+  "[XXXXX405]": 51083,
+  "[XXXXX406]": 50888,
+  "[XXXXX407]": 50069,
+  "[XXXXX408]": 50691,
+  "[XXXXX409]": 51055,
+  "[XXXXX40]": 50337,
+  "[XXXXX410]": 50137,
+  "[XXXXX411]": 50791,
+  "[XXXXX412]": 50136,
+  "[XXXXX413]": 50730,
+  "[XXXXX414]": 50267,
+  "[XXXXX415]": 50012,
+  "[XXXXX416]": 50681,
+  "[XXXXX417]": 50942,
+  "[XXXXX418]": 50720,
+  "[XXXXX419]": 50844,
+  "[XXXXX41]": 50387,
+  "[XXXXX420]": 50111,
+  "[XXXXX421]": 51003,
+  "[XXXXX422]": 50785,
+  "[XXXXX423]": 50149,
+  "[XXXXX424]": 50422,
+  "[XXXXX425]": 51086,
+  "[XXXXX426]": 50862,
+  "[XXXXX427]": 50576,
+  "[XXXXX428]": 51049,
+  "[XXXXX429]": 50630,
+  "[XXXXX42]": 50799,
+  "[XXXXX430]": 50289,
+  "[XXXXX431]": 50184,
+  "[XXXXX432]": 50319,
+  "[XXXXX433]": 51116,
+  "[XXXXX434]": 50519,
+  "[XXXXX435]": 50496,
+  "[XXXXX436]": 50517,
+  "[XXXXX437]": 50865,
+  "[XXXXX438]": 50737,
+  "[XXXXX439]": 50356,
+  "[XXXXX43]": 50359,
+  "[XXXXX440]": 50898,
+  "[XXXXX441]": 50113,
+  "[XXXXX442]": 50527,
+  "[XXXXX443]": 50762,
+  "[XXXXX444]": 50540,
+  "[XXXXX445]": 50925,
+  "[XXXXX446]": 50711,
+  "[XXXXX447]": 50143,
+  "[XXXXX448]": 51170,
+  "[XXXXX449]": 50413,
+  "[XXXXX44]": 50097,
+  "[XXXXX450]": 50375,
+  "[XXXXX451]": 50846,
+  "[XXXXX452]": 50217,
+  "[XXXXX453]": 50699,
+  "[XXXXX454]": 50412,
+  "[XXXXX455]": 50418,
+  "[XXXXX456]": 51143,
+  "[XXXXX457]": 51141,
+  "[XXXXX458]": 51157,
+  "[XXXXX459]": 50825,
+  "[XXXXX45]": 50203,
+  "[XXXXX460]": 50194,
+  "[XXXXX461]": 50148,
+  "[XXXXX462]": 50276,
+  "[XXXXX463]": 50271,
+  "[XXXXX464]": 50836,
+  "[XXXXX465]": 50854,
+  "[XXXXX466]": 50164,
+  "[XXXXX467]": 50484,
+  "[XXXXX468]": 51097,
+  "[XXXXX469]": 50182,
+  "[XXXXX46]": 50505,
+  "[XXXXX470]": 50670,
+  "[XXXXX471]": 50595,
+  "[XXXXX472]": 50237,
+  "[XXXXX473]": 50057,
+  "[XXXXX474]": 50431,
+  "[XXXXX475]": 50738,
+  "[XXXXX476]": 51145,
+  "[XXXXX477]": 50247,
+  "[XXXXX478]": 50029,
+  "[XXXXX479]": 50917,
+  "[XXXXX47]": 50579,
+  "[XXXXX480]": 50702,
+  "[XXXXX481]": 50831,
+  "[XXXXX482]": 50753,
+  "[XXXXX483]": 50598,
+  "[XXXXX484]": 51136,
+  "[XXXXX485]": 50092,
+  "[XXXXX486]": 50202,
+  "[XXXXX487]": 50106,
+  "[XXXXX488]": 50924,
+  "[XXXXX489]": 51113,
+  "[XXXXX48]": 50842,
+  "[XXXXX490]": 50761,
+  "[XXXXX491]": 50577,
+  "[XXXXX492]": 50692,
+  "[XXXXX493]": 51130,
+  "[XXXXX494]": 50932,
+  "[XXXXX495]": 50837,
+  "[XXXXX496]": 50893,
+  "[XXXXX497]": 50773,
+  "[XXXXX498]": 50360,
+  "[XXXXX499]": 50900,
+  "[XXXXX49]": 51062,
+  "[XXXXX4]": 50396,
+  "[XXXXX500]": 51034,
+  "[XXXXX501]": 50472,
+  "[XXXXX502]": 50660,
+  "[XXXXX503]": 50815,
+  "[XXXXX504]": 50939,
+  "[XXXXX505]": 50419,
+  "[XXXXX506]": 50324,
+  "[XXXXX507]": 50428,
+  "[XXXXX508]": 50274,
+  "[XXXXX509]": 50311,
+  "[XXXXX50]": 50459,
+  "[XXXXX510]": 50674,
+  "[XXXXX511]": 50580,
+  "[XXXXX512]": 50956,
+  "[XXXXX513]": 50165,
+  "[XXXXX514]": 50320,
+  "[XXXXX515]": 50648,
+  "[XXXXX516]": 50386,
+  "[XXXXX517]": 50058,
+  "[XXXXX518]": 51045,
+  "[XXXXX519]": 50103,
+  "[XXXXX51]": 50979,
+  "[XXXXX520]": 50530,
+  "[XXXXX521]": 50907,
+  "[XXXXX522]": 50260,
+  "[XXXXX523]": 50632,
+  "[XXXXX524]": 50926,
+  "[XXXXX525]": 50687,
+  "[XXXXX526]": 50160,
+  "[XXXXX527]": 51053,
+  "[XXXXX528]": 50652,
+  "[XXXXX529]": 51041,
+  "[XXXXX52]": 50272,
+  "[XXXXX530]": 51111,
+  "[XXXXX531]": 51009,
+  "[XXXXX532]": 51079,
+  "[XXXXX533]": 50487,
+  "[XXXXX534]": 51059,
+  "[XXXXX535]": 50335,
+  "[XXXXX536]": 50380,
+  "[XXXXX537]": 50301,
+  "[XXXXX538]": 51067,
+  "[XXXXX539]": 51052,
+  "[XXXXX53]": 51048,
+  "[XXXXX540]": 50822,
+  "[XXXXX541]": 51040,
+  "[XXXXX542]": 50490,
+  "[XXXXX543]": 50448,
+  "[XXXXX544]": 50812,
+  "[XXXXX545]": 50099,
+  "[XXXXX546]": 51199,
+  "[XXXXX547]": 50226,
+  "[XXXXX548]": 50538,
+  "[XXXXX549]": 50342,
+  "[XXXXX54]": 50701,
+  "[XXXXX550]": 50544,
+  "[XXXXX551]": 50398,
+  "[XXXXX552]": 51102,
+  "[XXXXX553]": 50919,
+  "[XXXXX554]": 50615,
+  "[XXXXX555]": 50769,
+  "[XXXXX556]": 50940,
+  "[XXXXX557]": 50070,
+  "[XXXXX558]": 50680,
+  "[XXXXX559]": 50611,
+  "[XXXXX55]": 50574,
+  "[XXXXX560]": 50381,
+  "[XXXXX561]": 50350,
+  "[XXXXX562]": 50175,
+  "[XXXXX563]": 50584,
+  "[XXXXX564]": 50703,
+  "[XXXXX565]": 50989,
+  "[XXXXX566]": 50877,
+  "[XXXXX567]": 51039,
+  "[XXXXX568]": 51018,
+  "[XXXXX569]": 50452,
+  "[XXXXX56]": 51099,
+  "[XXXXX570]": 50161,
+  "[XXXXX571]": 50921,
+  "[XXXXX572]": 50676,
+  "[XXXXX573]": 50326,
+  "[XXXXX574]": 50987,
+  "[XXXXX575]": 50361,
+  "[XXXXX576]": 50071,
+  "[XXXXX577]": 50803,
+  "[XXXXX578]": 50400,
+  "[XXXXX579]": 51091,
+  "[XXXXX57]": 50501,
+  "[XXXXX580]": 50887,
+  "[XXXXX581]": 50839,
+  "[XXXXX582]": 51138,
+  "[XXXXX583]": 50816,
+  "[XXXXX584]": 50339,
+  "[XXXXX585]": 50463,
+  "[XXXXX586]": 50399,
+  "[XXXXX587]": 51070,
+  "[XXXXX588]": 50457,
+  "[XXXXX589]": 50828,
+  "[XXXXX58]": 50183,
+  "[XXXXX590]": 50080,
+  "[XXXXX591]": 50550,
+  "[XXXXX592]": 50129,
+  "[XXXXX593]": 50273,
+  "[XXXXX594]": 50388,
+  "[XXXXX595]": 50491,
+  "[XXXXX596]": 50278,
+  "[XXXXX597]": 50011,
+  "[XXXXX598]": 50254,
+  "[XXXXX599]": 50302,
+  "[XXXXX59]": 50353,
+  "[XXXXX5]": 50010,
+  "[XXXXX600]": 50704,
+  "[XXXXX601]": 51118,
+  "[XXXXX602]": 50049,
+  "[XXXXX603]": 51190,
+  "[XXXXX604]": 51142,
+  "[XXXXX605]": 50707,
+  "[XXXXX606]": 50937,
+  "[XXXXX607]": 50875,
+  "[XXXXX608]": 50564,
+  "[XXXXX609]": 50345,
+  "[XXXXX60]": 50713,
+  "[XXXXX610]": 50949,
+  "[XXXXX611]": 50978,
+  "[XXXXX612]": 50330,
+  "[XXXXX613]": 51035,
+  "[XXXXX614]": 50402,
+  "[XXXXX615]": 50176,
+  "[XXXXX616]": 51133,
+  "[XXXXX617]": 50222,
+  "[XXXXX618]": 50118,
+  "[XXXXX619]": 50196,
+  "[XXXXX61]": 50298,
+  "[XXXXX620]": 50668,
+  "[XXXXX621]": 50462,
+  "[XXXXX622]": 50218,
+  "[XXXXX623]": 51101,
+  "[XXXXX624]": 50362,
+  "[XXXXX625]": 50779,
+  "[XXXXX626]": 50513,
+  "[XXXXX627]": 50746,
+  "[XXXXX628]": 50141,
+  "[XXXXX629]": 50479,
+  "[XXXXX62]": 50056,
+  "[XXXXX630]": 51180,
+  "[XXXXX631]": 50872,
+  "[XXXXX632]": 50315,
+  "[XXXXX633]": 50397,
+  "[XXXXX634]": 51165,
+  "[XXXXX635]": 50046,
+  "[XXXXX636]": 50795,
+  "[XXXXX637]": 50959,
+  "[XXXXX638]": 50786,
+  "[XXXXX639]": 50240,
+  "[XXXXX63]": 51061,
+  "[XXXXX640]": 50601,
+  "[XXXXX641]": 50904,
+  "[XXXXX642]": 50376,
+  "[XXXXX643]": 50663,
+  "[XXXXX644]": 50613,
+  "[XXXXX645]": 50467,
+  "[XXXXX646]": 50546,
+  "[XXXXX647]": 50465,
+  "[XXXXX648]": 50395,
+  "[XXXXX649]": 50287,
+  "[XXXXX64]": 51162,
+  "[XXXXX650]": 50474,
+  "[XXXXX651]": 50727,
+  "[XXXXX652]": 50243,
+  "[XXXXX653]": 51100,
+  "[XXXXX654]": 50705,
+  "[XXXXX655]": 51012,
+  "[XXXXX656]": 50447,
+  "[XXXXX657]": 50719,
+  "[XXXXX658]": 50712,
+  "[XXXXX659]": 50476,
+  "[XXXXX65]": 50587,
+  "[XXXXX660]": 51054,
+  "[XXXXX661]": 51166,
+  "[XXXXX662]": 50494,
+  "[XXXXX663]": 50230,
+  "[XXXXX664]": 50621,
+  "[XXXXX665]": 50809,
+  "[XXXXX666]": 50265,
+  "[XXXXX667]": 50645,
+  "[XXXXX668]": 50817,
+  "[XXXXX669]": 50030,
+  "[XXXXX66]": 51029,
+  "[XXXXX670]": 51004,
+  "[XXXXX671]": 50685,
+  "[XXXXX672]": 50625,
+  "[XXXXX673]": 50890,
+  "[XXXXX674]": 50383,
+  "[XXXXX675]": 50929,
+  "[XXXXX676]": 50116,
+  "[XXXXX677]": 51072,
+  "[XXXXX678]": 51126,
+  "[XXXXX679]": 50755,
+  "[XXXXX67]": 50717,
+  "[XXXXX680]": 50303,
+  "[XXXXX681]": 50504,
+  "[XXXXX682]": 51075,
+  "[XXXXX683]": 50261,
+  "[XXXXX684]": 50861,
+  "[XXXXX685]": 50306,
+  "[XXXXX686]": 50016,
+  "[XXXXX687]": 50101,
+  "[XXXXX688]": 51098,
+  "[XXXXX689]": 50827,
+  "[XXXXX68]": 50863,
+  "[XXXXX690]": 50640,
+  "[XXXXX691]": 50031,
+  "[XXXXX692]": 50768,
+  "[XXXXX693]": 50013,
+  "[XXXXX694]": 51032,
+  "[XXXXX695]": 50166,
+  "[XXXXX696]": 50127,
+  "[XXXXX697]": 50414,
+  "[XXXXX698]": 50742,
+  "[XXXXX699]": 51042,
+  "[XXXXX69]": 51112,
+  "[XXXXX6]": 50593,
+  "[XXXXX700]": 50292,
+  "[XXXXX701]": 50174,
+  "[XXXXX702]": 50547,
+  "[XXXXX703]": 50498,
+  "[XXXXX704]": 51078,
+  "[XXXXX705]": 50133,
+  "[XXXXX706]": 50041,
+  "[XXXXX707]": 51181,
+  "[XXXXX708]": 50585,
+  "[XXXXX709]": 50776,
+  "[XXXXX70]": 50053,
+  "[XXXXX710]": 50336,
+  "[XXXXX711]": 50765,
+  "[XXXXX712]": 50224,
+  "[XXXXX713]": 50599,
+  "[XXXXX714]": 50207,
+  "[XXXXX715]": 51043,
+  "[XXXXX716]": 51090,
+  "[XXXXX717]": 50006,
+  "[XXXXX718]": 50901,
+  "[XXXXX719]": 51001,
+  "[XXXXX71]": 50954,
+  "[XXXXX720]": 50646,
+  "[XXXXX721]": 50075,
+  "[XXXXX722]": 51120,
+  "[XXXXX723]": 50215,
+  "[XXXXX724]": 50415,
+  "[XXXXX725]": 50154,
+  "[XXXXX726]": 50935,
+  "[XXXXX727]": 50545,
+  "[XXXXX728]": 51085,
+  "[XXXXX729]": 50256,
+  "[XXXXX72]": 50363,
+  "[XXXXX730]": 50700,
+  "[XXXXX731]": 50262,
+  "[XXXXX732]": 50930,
+  "[XXXXX733]": 50333,
+  "[XXXXX734]": 50884,
+  "[XXXXX735]": 51030,
+  "[XXXXX736]": 50231,
+  "[XXXXX737]": 50405,
+  "[XXXXX738]": 50962,
+  "[XXXXX739]": 50458,
+  "[XXXXX73]": 50019,
+  "[XXXXX740]": 50878,
+  "[XXXXX741]": 50910,
+  "[XXXXX742]": 50170,
+  "[XXXXX743]": 50718,
+  "[XXXXX744]": 50616,
+  "[XXXXX745]": 50358,
+  "[XXXXX746]": 50152,
+  "[XXXXX747]": 50525,
+  "[XXXXX748]": 51167,
+  "[XXXXX749]": 50653,
+  "[XXXXX74]": 50952,
+  "[XXXXX750]": 50500,
+  "[XXXXX751]": 50446,
+  "[XXXXX752]": 50995,
+  "[XXXXX753]": 50945,
+  "[XXXXX754]": 51173,
+  "[XXXXX755]": 50823,
+  "[XXXXX756]": 51060,
+  "[XXXXX757]": 50748,
+  "[XXXXX758]": 50020,
+  "[XXXXX759]": 50197,
+  "[XXXXX75]": 50502,
+  "[XXXXX760]": 50291,
+  "[XXXXX761]": 50821,
+  "[XXXXX762]": 50190,
+  "[XXXXX763]": 50745,
+  "[XXXXX764]": 50778,
+  "[XXXXX765]": 50556,
+  "[XXXXX766]": 51161,
+  "[XXXXX767]": 50466,
+  "[XXXXX768]": 50792,
+  "[XXXXX769]": 50208,
+  "[XXXXX76]": 50169,
+  "[XXXXX770]": 50647,
+  "[XXXXX771]": 50610,
+  "[XXXXX772]": 51140,
+  "[XXXXX773]": 50441,
+  "[XXXXX774]": 50870,
+  "[XXXXX775]": 50368,
+  "[XXXXX776]": 50026,
+  "[XXXXX777]": 50677,
+  "[XXXXX778]": 51168,
+  "[XXXXX779]": 50481,
+  "[XXXXX77]": 50515,
+  "[XXXXX780]": 50225,
+  "[XXXXX781]": 50408,
+  "[XXXXX782]": 50090,
+  "[XXXXX783]": 50951,
+  "[XXXXX784]": 50015,
+  "[XXXXX785]": 50658,
+  "[XXXXX786]": 50617,
+  "[XXXXX787]": 50721,
+  "[XXXXX788]": 51084,
+  "[XXXXX789]": 50830,
+  "[XXXXX78]": 50100,
+  "[XXXXX790]": 50606,
+  "[XXXXX791]": 50124,
+  "[XXXXX792]": 50078,
+  "[XXXXX793]": 51188,
+  "[XXXXX794]": 50750,
+  "[XXXXX795]": 50138,
+  "[XXXXX796]": 50239,
+  "[XXXXX797]": 50385,
+  "[XXXXX798]": 50780,
+  "[XXXXX799]": 50683,
+  "[XXXXX79]": 50436,
+  "[XXXXX7]": 50211,
+  "[XXXXX800]": 51185,
+  "[XXXXX801]": 50250,
+  "[XXXXX802]": 50456,
+  "[XXXXX803]": 50508,
+  "[XXXXX804]": 51194,
+  "[XXXXX805]": 50021,
+  "[XXXXX806]": 50307,
+  "[XXXXX807]": 50199,
+  "[XXXXX808]": 51129,
+  "[XXXXX809]": 50686,
+  "[XXXXX80]": 50370,
+  "[XXXXX810]": 50343,
+  "[XXXXX811]": 50614,
+  "[XXXXX812]": 50636,
+  "[XXXXX813]": 51198,
+  "[XXXXX814]": 50788,
+  "[XXXXX815]": 50120,
+  "[XXXXX816]": 50135,
+  "[XXXXX817]": 50293,
+  "[XXXXX818]": 50153,
+  "[XXXXX819]": 50516,
+  "[XXXXX81]": 50581,
+  "[XXXXX820]": 50586,
+  "[XXXXX821]": 50509,
+  "[XXXXX822]": 50220,
+  "[XXXXX823]": 51068,
+  "[XXXXX824]": 50946,
+  "[XXXXX825]": 50965,
+  "[XXXXX826]": 50032,
+  "[XXXXX827]": 50156,
+  "[XXXXX828]": 50449,
+  "[XXXXX829]": 50531,
+  "[XXXXX82]": 51164,
+  "[XXXXX830]": 50486,
+  "[XXXXX831]": 50357,
+  "[XXXXX832]": 51022,
+  "[XXXXX833]": 50633,
+  "[XXXXX834]": 50754,
+  "[XXXXX835]": 51134,
+  "[XXXXX836]": 50193,
+  "[XXXXX837]": 51088,
+  "[XXXXX838]": 50722,
+  "[XXXXX839]": 50756,
+  "[XXXXX83]": 50977,
+  "[XXXXX840]": 50022,
+  "[XXXXX841]": 51186,
+  "[XXXXX842]": 50575,
+  "[XXXXX843]": 50079,
+  "[XXXXX844]": 50644,
+  "[XXXXX845]": 51033,
+  "[XXXXX846]": 50454,
+  "[XXXXX847]": 50095,
+  "[XXXXX848]": 50902,
+  "[XXXXX849]": 50597,
+  "[XXXXX84]": 50167,
+  "[XXXXX850]": 51051,
+  "[XXXXX851]": 50696,
+  "[XXXXX852]": 50966,
+  "[XXXXX853]": 50034,
+  "[XXXXX854]": 50889,
+  "[XXXXX855]": 50843,
+  "[XXXXX856]": 50963,
+  "[XXXXX857]": 50227,
+  "[XXXXX858]": 51058,
+  "[XXXXX859]": 50850,
+  "[XXXXX85]": 50192,
+  "[XXXXX860]": 50228,
+  "[XXXXX861]": 50570,
+  "[XXXXX862]": 50488,
+  "[XXXXX863]": 50539,
+  "[XXXXX864]": 51182,
+  "[XXXXX865]": 50990,
+  "[XXXXX866]": 50542,
+  "[XXXXX867]": 51069,
+  "[XXXXX868]": 50480,
+  "[XXXXX869]": 50847,
+  "[XXXXX86]": 50874,
+  "[XXXXX870]": 50308,
+  "[XXXXX871]": 50510,
+  "[XXXXX872]": 50423,
+  "[XXXXX873]": 50086,
+  "[XXXXX874]": 50591,
+  "[XXXXX875]": 50728,
+  "[XXXXX876]": 50372,
+  "[XXXXX877]": 50903,
+  "[XXXXX878]": 50868,
+  "[XXXXX879]": 50763,
+  "[XXXXX87]": 50571,
+  "[XXXXX880]": 50096,
+  "[XXXXX881]": 51150,
+  "[XXXXX882]": 50460,
+  "[XXXXX883]": 51087,
+  "[XXXXX884]": 51093,
+  "[XXXXX885]": 50295,
+  "[XXXXX886]": 51037,
+  "[XXXXX887]": 51171,
+  "[XXXXX888]": 50794,
+  "[XXXXX889]": 50628,
+  "[XXXXX88]": 50520,
+  "[XXXXX890]": 51172,
+  "[XXXXX891]": 51046,
+  "[XXXXX892]": 50918,
+  "[XXXXX893]": 50998,
+  "[XXXXX894]": 50371,
+  "[XXXXX895]": 51155,
+  "[XXXXX896]": 50866,
+  "[XXXXX897]": 50229,
+  "[XXXXX898]": 51057,
+  "[XXXXX899]": 50867,
+  "[XXXXX89]": 50537,
+  "[XXXXX8]": 50784,
+  "[XXXXX900]": 50739,
+  "[XXXXX901]": 51080,
+  "[XXXXX902]": 50038,
+  "[XXXXX903]": 50321,
+  "[XXXXX904]": 50774,
+  "[XXXXX905]": 50974,
+  "[XXXXX906]": 50920,
+  "[XXXXX907]": 50469,
+  "[XXXXX908]": 51122,
+  "[XXXXX909]": 51092,
+  "[XXXXX90]": 50514,
+  "[XXXXX910]": 50798,
+  "[XXXXX911]": 50245,
+  "[XXXXX912]": 50367,
+  "[XXXXX913]": 50618,
+  "[XXXXX914]": 50072,
+  "[XXXXX915]": 50450,
+  "[XXXXX916]": 51189,
+  "[XXXXX917]": 50485,
+  "[XXXXX918]": 50283,
+  "[XXXXX919]": 50845,
+  "[XXXXX91]": 50968,
+  "[XXXXX920]": 50429,
+  "[XXXXX921]": 50364,
+  "[XXXXX922]": 50782,
+  "[XXXXX923]": 50534,
+  "[XXXXX924]": 50059,
+  "[XXXXX925]": 50102,
+  "[XXXXX926]": 50185,
+  "[XXXXX927]": 50634,
+  "[XXXXX928]": 50567,
+  "[XXXXX929]": 50895,
+  "[XXXXX92]": 50210,
+  "[XXXXX930]": 50561,
+  "[XXXXX931]": 51021,
+  "[XXXXX932]": 50107,
+  "[XXXXX933]": 50407,
+  "[XXXXX934]": 50654,
+  "[XXXXX935]": 50268,
+  "[XXXXX936]": 51153,
+  "[XXXXX937]": 50552,
+  "[XXXXX938]": 50526,
+  "[XXXXX939]": 50322,
+  "[XXXXX93]": 50912,
+  "[XXXXX940]": 50296,
+  "[XXXXX941]": 50572,
+  "[XXXXX942]": 50393,
+  "[XXXXX943]": 50312,
+  "[XXXXX944]": 50592,
+  "[XXXXX945]": 50982,
+  "[XXXXX946]": 50089,
+  "[XXXXX947]": 50331,
+  "[XXXXX948]": 50279,
+  "[XXXXX949]": 51005,
+  "[XXXXX94]": 50198,
+  "[XXXXX950]": 50114,
+  "[XXXXX951]": 50074,
+  "[XXXXX952]": 50248,
+  "[XXXXX953]": 50857,
+  "[XXXXX954]": 50841,
+  "[XXXXX955]": 51065,
+  "[XXXXX956]": 50234,
+  "[XXXXX957]": 50834,
+  "[XXXXX958]": 50535,
+  "[XXXXX959]": 51109,
+  "[XXXXX95]": 50651,
+  "[XXXXX960]": 50797,
+  "[XXXXX961]": 50914,
+  "[XXXXX962]": 50112,
+  "[XXXXX963]": 50073,
+  "[XXXXX964]": 50559,
+  "[XXXXX965]": 50933,
+  "[XXXXX966]": 50619,
+  "[XXXXX967]": 51187,
+  "[XXXXX968]": 50327,
+  "[XXXXX969]": 50698,
+  "[XXXXX96]": 50420,
+  "[XXXXX970]": 50060,
+  "[XXXXX971]": 50432,
+  "[XXXXX972]": 50620,
+  "[XXXXX973]": 50693,
+  "[XXXXX974]": 50938,
+  "[XXXXX975]": 50983,
+  "[XXXXX976]": 50334,
+  "[XXXXX977]": 50438,
+  "[XXXXX978]": 51154,
+  "[XXXXX979]": 50964,
+  "[XXXXX97]": 50672,
+  "[XXXXX980]": 50511,
+  "[XXXXX981]": 50244,
+  "[XXXXX982]": 50266,
+  "[XXXXX983]": 50134,
+  "[XXXXX984]": 50338,
+  "[XXXXX985]": 51121,
+  "[XXXXX986]": 50323,
+  "[XXXXX987]": 50909,
+  "[XXXXX988]": 51000,
+  "[XXXXX989]": 50036,
+  "[XXXXX98]": 50787,
+  "[XXXXX990]": 50512,
+  "[XXXXX991]": 50191,
+  "[XXXXX992]": 50187,
+  "[XXXXX993]": 51156,
+  "[XXXXX994]": 51135,
+  "[XXXXX995]": 50355,
+  "[XXXXX996]": 51027,
+  "[XXXXX997]": 50297,
+  "[XXXXX998]": 50928,
+  "[XXXXX999]": 50697,
+  "[XXXXX99]": 50980,
+  "[XXXXX9]": 50961
+}
diff --git a/checkpoint-9500/config.json b/checkpoint-9500/config.json
new file mode 100644
index 0000000..000c292
--- /dev/null
+++ b/checkpoint-9500/config.json
@@ -0,0 +1,34 @@
+{
+  "activation_function": "gelu",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50000,
+  "dtype": "bfloat16",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50001,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 512,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": 3072,
+  "n_layer": 12,
+  "n_positions": 512,
+  "pad_token_id": 50002,
+  "prefix": "[CLS]",
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "vocab_size": 51200
+}
diff --git a/checkpoint-9500/generation_config.json b/checkpoint-9500/generation_config.json
new file mode 100644
index 0000000..4c122f0
--- /dev/null
+++ b/checkpoint-9500/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50000,
+  "eos_token_id": [
+    50001
+  ],
+  "pad_token_id": 50002,
+  "transformers_version": "4.56.2"
+}
diff --git a/checkpoint-9500/model.safetensors b/checkpoint-9500/model.safetensors
new file mode 100644
index 0000000..077bbd1
--- /dev/null
+++ b/checkpoint-9500/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7fd7a57084b9e852dc4ea22889638a6626743d245e2c2f0fddcd47f7254f3239
+size 249556672
diff --git a/checkpoint-9500/rng_state.pth b/checkpoint-9500/rng_state.pth
new file mode 100644
index 0000000..afe8753
--- /dev/null
+++ b/checkpoint-9500/rng_state.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a56f74eeca8a181b729b304697f05ea2f0ebee04970803ec759536192933212e
+size 14645
diff --git a/checkpoint-9500/special_tokens_map.json b/checkpoint-9500/special_tokens_map.json
new file mode 100644
index 0000000..c78a835
--- /dev/null
+++ b/checkpoint-9500/special_tokens_map.json
@@ -0,0 +1,1249 @@
+{
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/checkpoint-9500/spiece.model b/checkpoint-9500/spiece.model
new file mode 100644
index 0000000..85d6e93
--- /dev/null
+++ b/checkpoint-9500/spiece.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:762a1e078899c6ba7ef62ef873a57b860c51cc0518791854659b58b4c89742fe
+size 1170764
diff --git a/checkpoint-9500/tokenizer_config.json b/checkpoint-9500/tokenizer_config.json
new file mode 100644
index 0000000..b27d01f
--- /dev/null
+++ b/checkpoint-9500/tokenizer_config.json
@@ -0,0 +1,10825 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50000": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50001": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50002": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50003": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50004": {
+      "content": "[XXXXX160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50005": {
+      "content": "[XXXXX240]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50006": {
+      "content": "[XXXXX717]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50007": {
+      "content": "[XXXXX23]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50008": {
+      "content": "[XXXXX161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50009": {
+      "content": "[XXXXX1156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50010": {
+      "content": "[XXXXX5]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50011": {
+      "content": "[XXXXX597]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50012": {
+      "content": "[XXXXX415]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50013": {
+      "content": "[XXXXX693]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50014": {
+      "content": "[XXXXX1083]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50015": {
+      "content": "[XXXXX784]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50016": {
+      "content": "[XXXXX686]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50017": {
+      "content": "[XXXXX379]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50018": {
+      "content": "[XXXXX335]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50019": {
+      "content": "[XXXXX73]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50020": {
+      "content": "[XXXXX758]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50021": {
+      "content": "[XXXXX805]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50022": {
+      "content": "[XXXXX840]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50023": {
+      "content": "[XXXXX1037]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50024": {
+      "content": "[XXXXX235]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50025": {
+      "content": "[XXXXX1107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50026": {
+      "content": "[XXXXX776]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50027": {
+      "content": "[XXXXX286]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50028": {
+      "content": "[XXXXX396]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50029": {
+      "content": "[XXXXX478]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50030": {
+      "content": "[XXXXX669]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50031": {
+      "content": "[XXXXX691]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50032": {
+      "content": "[XXXXX826]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50033": {
+      "content": "[XXXXX1150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50034": {
+      "content": "[XXXXX853]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50035": {
+      "content": "[XXXXX130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50036": {
+      "content": "[XXXXX989]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50037": {
+      "content": "[XXXXX249]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50038": {
+      "content": "[XXXXX902]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50039": {
+      "content": "[XXXXX1169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50040": {
+      "content": "[XXXXX260]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50041": {
+      "content": "[XXXXX706]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50042": {
+      "content": "[XXXXX146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50043": {
+      "content": "[XXXXX198]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50044": {
+      "content": "[XXXXX303]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50045": {
+      "content": "[XXXXX1192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50046": {
+      "content": "[XXXXX635]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50047": {
+      "content": "[XXXXX271]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50048": {
+      "content": "[XXXXX1023]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50049": {
+      "content": "[XXXXX602]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50050": {
+      "content": "[XXXXX291]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50051": {
+      "content": "[XXXXX190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50052": {
+      "content": "[XXXXX1055]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50053": {
+      "content": "[XXXXX70]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50054": {
+      "content": "[XXXXX178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50055": {
+      "content": "[XXXXX318]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50056": {
+      "content": "[XXXXX62]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50057": {
+      "content": "[XXXXX473]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50058": {
+      "content": "[XXXXX517]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50059": {
+      "content": "[XXXXX924]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50060": {
+      "content": "[XXXXX970]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50061": {
+      "content": "[XXXXX1033]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50062": {
+      "content": "[XXXXX110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50063": {
+      "content": "[XXXXX1151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50064": {
+      "content": "[XXXXX1189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50065": {
+      "content": "[XXXXX1095]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50066": {
+      "content": "[XXXXX148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50067": {
+      "content": "[XXXXX337]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50068": {
+      "content": "[XXXXX245]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50069": {
+      "content": "[XXXXX407]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50070": {
+      "content": "[XXXXX557]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50071": {
+      "content": "[XXXXX576]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50072": {
+      "content": "[XXXXX914]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50073": {
+      "content": "[XXXXX963]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50074": {
+      "content": "[XXXXX951]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50075": {
+      "content": "[XXXXX721]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50076": {
+      "content": "[XXXXX1174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50077": {
+      "content": "[XXXXX3]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50078": {
+      "content": "[XXXXX792]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50079": {
+      "content": "[XXXXX843]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50080": {
+      "content": "[XXXXX590]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50081": {
+      "content": "[XXXXX118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50082": {
+      "content": "[XXXXX280]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50083": {
+      "content": "[XXXXX1119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50084": {
+      "content": "[XXXXX1025]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50085": {
+      "content": "[XXXXX140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50086": {
+      "content": "[XXXXX873]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50087": {
+      "content": "[XXXXX103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50088": {
+      "content": "[XXXXX307]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50089": {
+      "content": "[XXXXX946]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50090": {
+      "content": "[XXXXX782]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50091": {
+      "content": "[XXXXX100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50092": {
+      "content": "[XXXXX485]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50093": {
+      "content": "[XXXXX151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50094": {
+      "content": "[XXXXX213]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50095": {
+      "content": "[XXXXX847]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50096": {
+      "content": "[XXXXX880]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50097": {
+      "content": "[XXXXX44]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50098": {
+      "content": "[XXXXX1031]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50099": {
+      "content": "[XXXXX545]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50100": {
+      "content": "[XXXXX78]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50101": {
+      "content": "[XXXXX687]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50102": {
+      "content": "[XXXXX925]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50103": {
+      "content": "[XXXXX519]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50104": {
+      "content": "[XXXXX1191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50105": {
+      "content": "[XXXXX13]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50106": {
+      "content": "[XXXXX487]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50107": {
+      "content": "[XXXXX932]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50108": {
+      "content": "[XXXXX119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50109": {
+      "content": "[XXXXX170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50110": {
+      "content": "[XXXXX254]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50111": {
+      "content": "[XXXXX420]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50112": {
+      "content": "[XXXXX962]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50113": {
+      "content": "[XXXXX441]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50114": {
+      "content": "[XXXXX950]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50115": {
+      "content": "[XXXXX18]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50116": {
+      "content": "[XXXXX676]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50117": {
+      "content": "[XXXXX1133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50118": {
+      "content": "[XXXXX618]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50119": {
+      "content": "[XXXXX374]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50120": {
+      "content": "[XXXXX815]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50121": {
+      "content": "[XXXXX1058]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50122": {
+      "content": "[XXXXX1108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50123": {
+      "content": "[XXXXX1144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50124": {
+      "content": "[XXXXX791]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50125": {
+      "content": "[XXXXX259]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50126": {
+      "content": "[XXXXX1074]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50127": {
+      "content": "[XXXXX696]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50128": {
+      "content": "[XXXXX1168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50129": {
+      "content": "[XXXXX592]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50130": {
+      "content": "[XXXXX127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50131": {
+      "content": "[XXXXX136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50132": {
+      "content": "[XXXXX237]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50133": {
+      "content": "[XXXXX705]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50134": {
+      "content": "[XXXXX983]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50135": {
+      "content": "[XXXXX816]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50136": {
+      "content": "[XXXXX412]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50137": {
+      "content": "[XXXXX410]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50138": {
+      "content": "[XXXXX795]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50139": {
+      "content": "[XXXXX101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50140": {
+      "content": "[XXXXX171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50141": {
+      "content": "[XXXXX628]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50142": {
+      "content": "[XXXXX1038]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50143": {
+      "content": "[XXXXX447]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50144": {
+      "content": "[XXXXX1043]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50145": {
+      "content": "[XXXXX147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50146": {
+      "content": "[XXXXX1112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50147": {
+      "content": "[XXXXX186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50148": {
+      "content": "[XXXXX461]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50149": {
+      "content": "[XXXXX423]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50150": {
+      "content": "[XXXXX26]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50151": {
+      "content": "[XXXXX227]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50152": {
+      "content": "[XXXXX746]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50153": {
+      "content": "[XXXXX818]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50154": {
+      "content": "[XXXXX725]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50155": {
+      "content": "[XXXXX400]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50156": {
+      "content": "[XXXXX827]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50157": {
+      "content": "[XXXXX1020]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50158": {
+      "content": "[XXXXX1060]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50159": {
+      "content": "[XXXXX195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50160": {
+      "content": "[XXXXX526]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50161": {
+      "content": "[XXXXX570]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50162": {
+      "content": "[XXXXX174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50163": {
+      "content": "[XXXXX333]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50164": {
+      "content": "[XXXXX466]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50165": {
+      "content": "[XXXXX513]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50166": {
+      "content": "[XXXXX695]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50167": {
+      "content": "[XXXXX84]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50168": {
+      "content": "[XXXXX1080]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50169": {
+      "content": "[XXXXX76]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50170": {
+      "content": "[XXXXX742]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50171": {
+      "content": "[XXXXX1008]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50172": {
+      "content": "[XXXXX1123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50173": {
+      "content": "[XXXXX1145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50174": {
+      "content": "[XXXXX701]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50175": {
+      "content": "[XXXXX562]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50176": {
+      "content": "[XXXXX615]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50177": {
+      "content": "[XXXXX389]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50178": {
+      "content": "[XXXXX267]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50179": {
+      "content": "[XXXXX323]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50180": {
+      "content": "[XXXXX346]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50181": {
+      "content": "[XXXXX287]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50182": {
+      "content": "[XXXXX469]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50183": {
+      "content": "[XXXXX58]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50184": {
+      "content": "[XXXXX431]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50185": {
+      "content": "[XXXXX926]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50186": {
+      "content": "[XXXXX1182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50187": {
+      "content": "[XXXXX992]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50188": {
+      "content": "[XXXXX185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50189": {
+      "content": "[XXXXX352]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50190": {
+      "content": "[XXXXX762]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50191": {
+      "content": "[XXXXX991]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50192": {
+      "content": "[XXXXX85]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50193": {
+      "content": "[XXXXX836]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50194": {
+      "content": "[XXXXX460]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50195": {
+      "content": "[XXXXX272]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50196": {
+      "content": "[XXXXX619]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50197": {
+      "content": "[XXXXX759]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50198": {
+      "content": "[XXXXX94]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50199": {
+      "content": "[XXXXX807]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50200": {
+      "content": "[XXXXX299]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50201": {
+      "content": "[XXXXX187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50202": {
+      "content": "[XXXXX486]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50203": {
+      "content": "[XXXXX45]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50204": {
+      "content": "[XXXXX1036]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50205": {
+      "content": "[XXXXX354]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50206": {
+      "content": "[XXXXX386]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50207": {
+      "content": "[XXXXX714]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50208": {
+      "content": "[XXXXX769]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50209": {
+      "content": "[XXXXX304]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50210": {
+      "content": "[XXXXX92]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50211": {
+      "content": "[XXXXX7]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50212": {
+      "content": "[XXXXX31]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50213": {
+      "content": "[XXXXX102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50214": {
+      "content": "[XXXXX163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50215": {
+      "content": "[XXXXX723]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50216": {
+      "content": "[XXXXX1042]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50217": {
+      "content": "[XXXXX452]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50218": {
+      "content": "[XXXXX622]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50219": {
+      "content": "[XXXXX1056]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50220": {
+      "content": "[XXXXX822]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50221": {
+      "content": "[XXXXX125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50222": {
+      "content": "[XXXXX617]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50223": {
+      "content": "[XXXXX34]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50224": {
+      "content": "[XXXXX712]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50225": {
+      "content": "[XXXXX780]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50226": {
+      "content": "[XXXXX547]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50227": {
+      "content": "[XXXXX857]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50228": {
+      "content": "[XXXXX860]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50229": {
+      "content": "[XXXXX897]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50230": {
+      "content": "[XXXXX663]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50231": {
+      "content": "[XXXXX736]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50232": {
+      "content": "[XXXXX202]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50233": {
+      "content": "[XXXXX1029]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50234": {
+      "content": "[XXXXX956]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50235": {
+      "content": "[XXXXX397]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50236": {
+      "content": "[XXXXX239]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50237": {
+      "content": "[XXXXX472]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50238": {
+      "content": "[XXXXX230]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50239": {
+      "content": "[XXXXX796]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50240": {
+      "content": "[XXXXX639]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50241": {
+      "content": "[XXXXX203]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50242": {
+      "content": "[XXXXX231]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50243": {
+      "content": "[XXXXX652]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50244": {
+      "content": "[XXXXX981]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50245": {
+      "content": "[XXXXX911]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50246": {
+      "content": "[XXXXX380]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50247": {
+      "content": "[XXXXX477]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50248": {
+      "content": "[XXXXX952]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50249": {
+      "content": "[XXXXX28]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50250": {
+      "content": "[XXXXX801]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50251": {
+      "content": "[XXXXX1134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50252": {
+      "content": "[XXXXX1176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50253": {
+      "content": "[XXXXX180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50254": {
+      "content": "[XXXXX598]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50255": {
+      "content": "[XXXXX365]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50256": {
+      "content": "[XXXXX729]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50257": {
+      "content": "[XXXXX214]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50258": {
+      "content": "[XXXXX1117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50259": {
+      "content": "[XXXXX278]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50260": {
+      "content": "[XXXXX522]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50261": {
+      "content": "[XXXXX683]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50262": {
+      "content": "[XXXXX731]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50263": {
+      "content": "[XXXXX312]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "[XXXXX1178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50265": {
+      "content": "[XXXXX666]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50266": {
+      "content": "[XXXXX982]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50267": {
+      "content": "[XXXXX414]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50268": {
+      "content": "[XXXXX935]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50269": {
+      "content": "[XXXXX1089]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50270": {
+      "content": "[XXXXX236]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50271": {
+      "content": "[XXXXX463]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50272": {
+      "content": "[XXXXX52]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50273": {
+      "content": "[XXXXX593]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50274": {
+      "content": "[XXXXX508]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50275": {
+      "content": "[XXXXX1125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50276": {
+      "content": "[XXXXX462]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50277": {
+      "content": "[XXXXX32]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50278": {
+      "content": "[XXXXX596]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50279": {
+      "content": "[XXXXX948]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50280": {
+      "content": "[XXXXX150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50281": {
+      "content": "[XXXXX322]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50282": {
+      "content": "[XXXXX390]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50283": {
+      "content": "[XXXXX918]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50284": {
+      "content": "[XXXXX157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50285": {
+      "content": "[XXXXX310]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50286": {
+      "content": "[XXXXX392]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50287": {
+      "content": "[XXXXX649]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50288": {
+      "content": "[XXXXX158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50289": {
+      "content": "[XXXXX430]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50290": {
+      "content": "[XXXXX384]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50291": {
+      "content": "[XXXXX760]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50292": {
+      "content": "[XXXXX700]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50293": {
+      "content": "[XXXXX817]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50294": {
+      "content": "[XXXXX115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50295": {
+      "content": "[XXXXX885]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50296": {
+      "content": "[XXXXX940]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50297": {
+      "content": "[XXXXX997]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50298": {
+      "content": "[XXXXX61]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50299": {
+      "content": "[XXXXX209]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50300": {
+      "content": "[XXXXX316]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50301": {
+      "content": "[XXXXX537]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50302": {
+      "content": "[XXXXX599]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50303": {
+      "content": "[XXXXX680]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50304": {
+      "content": "[XXXXX135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50305": {
+      "content": "[XXXXX39]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50306": {
+      "content": "[XXXXX685]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50307": {
+      "content": "[XXXXX806]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50308": {
+      "content": "[XXXXX870]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50309": {
+      "content": "[XXXXX1096]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50310": {
+      "content": "[XXXXX366]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50311": {
+      "content": "[XXXXX509]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50312": {
+      "content": "[XXXXX943]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50313": {
+      "content": "[XXXXX292]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50314": {
+      "content": "[XXXXX367]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50315": {
+      "content": "[XXXXX632]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50316": {
+      "content": "[XXXXX1136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50317": {
+      "content": "[XXXXX156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50318": {
+      "content": "[XXXXX1100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50319": {
+      "content": "[XXXXX432]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50320": {
+      "content": "[XXXXX514]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50321": {
+      "content": "[XXXXX903]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50322": {
+      "content": "[XXXXX939]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50323": {
+      "content": "[XXXXX986]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50324": {
+      "content": "[XXXXX506]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50325": {
+      "content": "[XXXXX10]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50326": {
+      "content": "[XXXXX573]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50327": {
+      "content": "[XXXXX968]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50328": {
+      "content": "[XXXXX1039]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50329": {
+      "content": "[XXXXX252]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50330": {
+      "content": "[XXXXX612]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50331": {
+      "content": "[XXXXX947]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50332": {
+      "content": "[XXXXX1162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50333": {
+      "content": "[XXXXX733]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50334": {
+      "content": "[XXXXX976]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50335": {
+      "content": "[XXXXX535]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50336": {
+      "content": "[XXXXX710]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50337": {
+      "content": "[XXXXX40]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50338": {
+      "content": "[XXXXX984]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50339": {
+      "content": "[XXXXX584]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50340": {
+      "content": "[XXXXX132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50341": {
+      "content": "[XXXXX1084]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50342": {
+      "content": "[XXXXX549]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50343": {
+      "content": "[XXXXX810]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50344": {
+      "content": "[XXXXX208]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50345": {
+      "content": "[XXXXX609]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50346": {
+      "content": "[XXXXX275]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50347": {
+      "content": "[XXXXX262]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50348": {
+      "content": "[XXXXX331]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50349": {
+      "content": "[XXXXX361]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50350": {
+      "content": "[XXXXX561]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50351": {
+      "content": "[XXXXX143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50352": {
+      "content": "[XXXXX1061]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50353": {
+      "content": "[XXXXX59]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50354": {
+      "content": "[XXXXX21]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50355": {
+      "content": "[XXXXX995]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50356": {
+      "content": "[XXXXX439]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50357": {
+      "content": "[XXXXX831]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50358": {
+      "content": "[XXXXX745]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50359": {
+      "content": "[XXXXX43]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50360": {
+      "content": "[XXXXX498]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50361": {
+      "content": "[XXXXX575]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50362": {
+      "content": "[XXXXX624]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50363": {
+      "content": "[XXXXX72]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50364": {
+      "content": "[XXXXX921]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50365": {
+      "content": "[XXXXX201]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50366": {
+      "content": "[XXXXX1171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50367": {
+      "content": "[XXXXX912]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50368": {
+      "content": "[XXXXX775]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50369": {
+      "content": "[XXXXX1094]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50370": {
+      "content": "[XXXXX80]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50371": {
+      "content": "[XXXXX894]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50372": {
+      "content": "[XXXXX876]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50373": {
+      "content": "[XXXXX1143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50374": {
+      "content": "[XXXXX355]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50375": {
+      "content": "[XXXXX450]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50376": {
+      "content": "[XXXXX642]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50377": {
+      "content": "[XXXXX162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50378": {
+      "content": "[XXXXX394]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50379": {
+      "content": "[XXXXX296]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50380": {
+      "content": "[XXXXX536]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50381": {
+      "content": "[XXXXX560]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50382": {
+      "content": "[XXXXX373]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50383": {
+      "content": "[XXXXX674]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50384": {
+      "content": "[XXXXX1099]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50385": {
+      "content": "[XXXXX797]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50386": {
+      "content": "[XXXXX516]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50387": {
+      "content": "[XXXXX41]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50388": {
+      "content": "[XXXXX594]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50389": {
+      "content": "[XXXXX319]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50390": {
+      "content": "[XXXXX165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50391": {
+      "content": "[XXXXX344]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50392": {
+      "content": "[XXXXX1012]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50393": {
+      "content": "[XXXXX942]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50394": {
+      "content": "[XXXXX1071]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50395": {
+      "content": "[XXXXX648]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50396": {
+      "content": "[XXXXX4]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50397": {
+      "content": "[XXXXX633]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50398": {
+      "content": "[XXXXX551]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50399": {
+      "content": "[XXXXX586]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50400": {
+      "content": "[XXXXX578]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50401": {
+      "content": "[XXXXX348]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50402": {
+      "content": "[XXXXX614]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50403": {
+      "content": "[XXXXX33]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50404": {
+      "content": "[XXXXX1193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50405": {
+      "content": "[XXXXX737]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50406": {
+      "content": "[XXXXX233]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50407": {
+      "content": "[XXXXX933]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50408": {
+      "content": "[XXXXX781]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50409": {
+      "content": "[XXXXX189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50410": {
+      "content": "[XXXXX1006]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50411": {
+      "content": "[XXXXX219]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50412": {
+      "content": "[XXXXX454]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50413": {
+      "content": "[XXXXX449]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50414": {
+      "content": "[XXXXX697]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50415": {
+      "content": "[XXXXX724]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50416": {
+      "content": "[XXXXX224]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50417": {
+      "content": "[XXXXX1157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50418": {
+      "content": "[XXXXX455]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50419": {
+      "content": "[XXXXX505]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50420": {
+      "content": "[XXXXX96]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50421": {
+      "content": "[XXXXX182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50422": {
+      "content": "[XXXXX424]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50423": {
+      "content": "[XXXXX872]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50424": {
+      "content": "[XXXXX1163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50425": {
+      "content": "[XXXXX1081]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50426": {
+      "content": "[XXXXX1173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50427": {
+      "content": "[XXXXX172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50428": {
+      "content": "[XXXXX507]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50429": {
+      "content": "[XXXXX920]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50430": {
+      "content": "[XXXXX1126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50431": {
+      "content": "[XXXXX474]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50432": {
+      "content": "[XXXXX971]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50433": {
+      "content": "[XXXXX1049]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50434": {
+      "content": "[XXXXX1114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50435": {
+      "content": "[XXXXX1040]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50436": {
+      "content": "[XXXXX79]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50437": {
+      "content": "[XXXXX36]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50438": {
+      "content": "[XXXXX977]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50439": {
+      "content": "[XXXXX1129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50440": {
+      "content": "[XXXXX1063]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50441": {
+      "content": "[XXXXX773]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50442": {
+      "content": "[XXXXX16]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50443": {
+      "content": "[XXXXX113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50444": {
+      "content": "[XXXXX320]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50445": {
+      "content": "[XXXXX167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50446": {
+      "content": "[XXXXX751]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50447": {
+      "content": "[XXXXX656]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50448": {
+      "content": "[XXXXX543]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50449": {
+      "content": "[XXXXX828]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50450": {
+      "content": "[XXXXX915]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50451": {
+      "content": "[XXXXX1098]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50452": {
+      "content": "[XXXXX569]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50453": {
+      "content": "[XXXXX1166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50454": {
+      "content": "[XXXXX846]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50455": {
+      "content": "[XXXXX324]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50456": {
+      "content": "[XXXXX802]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50457": {
+      "content": "[XXXXX588]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50458": {
+      "content": "[XXXXX739]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50459": {
+      "content": "[XXXXX50]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50460": {
+      "content": "[XXXXX882]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50461": {
+      "content": "[XXXXX1054]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50462": {
+      "content": "[XXXXX621]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50463": {
+      "content": "[XXXXX585]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50464": {
+      "content": "[XXXXX121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50465": {
+      "content": "[XXXXX647]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50466": {
+      "content": "[XXXXX767]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50467": {
+      "content": "[XXXXX645]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50468": {
+      "content": "[XXXXX27]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50469": {
+      "content": "[XXXXX907]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50470": {
+      "content": "[XXXXX1109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50471": {
+      "content": "[XXXXX1147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50472": {
+      "content": "[XXXXX501]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50473": {
+      "content": "[XXXXX1164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50474": {
+      "content": "[XXXXX650]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50475": {
+      "content": "[XXXXX329]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50476": {
+      "content": "[XXXXX659]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50477": {
+      "content": "[XXXXX1158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50478": {
+      "content": "[XXXXX104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50479": {
+      "content": "[XXXXX629]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50480": {
+      "content": "[XXXXX868]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50481": {
+      "content": "[XXXXX779]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50482": {
+      "content": "[XXXXX17]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50483": {
+      "content": "[XXXXX377]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50484": {
+      "content": "[XXXXX467]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50485": {
+      "content": "[XXXXX917]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50486": {
+      "content": "[XXXXX830]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50487": {
+      "content": "[XXXXX533]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50488": {
+      "content": "[XXXXX862]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50489": {
+      "content": "[XXXXX1041]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50490": {
+      "content": "[XXXXX542]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50491": {
+      "content": "[XXXXX595]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50492": {
+      "content": "[XXXXX353]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50493": {
+      "content": "[XXXXX181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50494": {
+      "content": "[XXXXX662]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50495": {
+      "content": "[XXXXX1195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50496": {
+      "content": "[XXXXX435]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50497": {
+      "content": "[XXXXX1051]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50498": {
+      "content": "[XXXXX703]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50499": {
+      "content": "[XXXXX1140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50500": {
+      "content": "[XXXXX750]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50501": {
+      "content": "[XXXXX57]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50502": {
+      "content": "[XXXXX75]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50503": {
+      "content": "[XXXXX293]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50504": {
+      "content": "[XXXXX681]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50505": {
+      "content": "[XXXXX46]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50506": {
+      "content": "[XXXXX30]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50507": {
+      "content": "[XXXXX402]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50508": {
+      "content": "[XXXXX803]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50509": {
+      "content": "[XXXXX821]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50510": {
+      "content": "[XXXXX871]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50511": {
+      "content": "[XXXXX980]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50512": {
+      "content": "[XXXXX990]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50513": {
+      "content": "[XXXXX626]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50514": {
+      "content": "[XXXXX90]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50515": {
+      "content": "[XXXXX77]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50516": {
+      "content": "[XXXXX819]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50517": {
+      "content": "[XXXXX436]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50518": {
+      "content": "[XXXXX306]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50519": {
+      "content": "[XXXXX434]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50520": {
+      "content": "[XXXXX88]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50521": {
+      "content": "[XXXXX184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50522": {
+      "content": "[XXXXX290]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50523": {
+      "content": "[XXXXX216]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50524": {
+      "content": "[XXXXX176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50525": {
+      "content": "[XXXXX747]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50526": {
+      "content": "[XXXXX938]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50527": {
+      "content": "[XXXXX442]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50528": {
+      "content": "[XXXXX301]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50529": {
+      "content": "[XXXXX1015]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50530": {
+      "content": "[XXXXX520]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50531": {
+      "content": "[XXXXX829]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50532": {
+      "content": "[XXXXX106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50533": {
+      "content": "[XXXXX1048]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50534": {
+      "content": "[XXXXX923]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50535": {
+      "content": "[XXXXX958]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50536": {
+      "content": "[XXXXX1130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50537": {
+      "content": "[XXXXX89]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50538": {
+      "content": "[XXXXX548]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50539": {
+      "content": "[XXXXX863]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50540": {
+      "content": "[XXXXX444]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50541": {
+      "content": "[XXXXX1149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50542": {
+      "content": "[XXXXX866]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50543": {
+      "content": "[XXXXX109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50544": {
+      "content": "[XXXXX550]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50545": {
+      "content": "[XXXXX727]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50546": {
+      "content": "[XXXXX646]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50547": {
+      "content": "[XXXXX702]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50548": {
+      "content": "[XXXXX204]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50549": {
+      "content": "[XXXXX1000]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50550": {
+      "content": "[XXXXX591]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50551": {
+      "content": "[XXXXX1128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50552": {
+      "content": "[XXXXX937]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50553": {
+      "content": "[XXXXX141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50554": {
+      "content": "[XXXXX273]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50555": {
+      "content": "[XXXXX1183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50556": {
+      "content": "[XXXXX765]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50557": {
+      "content": "[XXXXX371]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50558": {
+      "content": "[XXXXX256]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50559": {
+      "content": "[XXXXX964]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50560": {
+      "content": "[XXXXX1148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50561": {
+      "content": "[XXXXX930]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50562": {
+      "content": "[XXXXX212]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50563": {
+      "content": "[XXXXX133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50564": {
+      "content": "[XXXXX608]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50565": {
+      "content": "[XXXXX281]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50566": {
+      "content": "[XXXXX1045]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50567": {
+      "content": "[XXXXX928]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50568": {
+      "content": "[XXXXX1154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50569": {
+      "content": "[XXXXX334]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50570": {
+      "content": "[XXXXX861]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50571": {
+      "content": "[XXXXX87]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50572": {
+      "content": "[XXXXX941]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50573": {
+      "content": "[XXXXX359]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50574": {
+      "content": "[XXXXX55]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50575": {
+      "content": "[XXXXX842]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50576": {
+      "content": "[XXXXX427]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50577": {
+      "content": "[XXXXX491]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50578": {
+      "content": "[XXXXX137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50579": {
+      "content": "[XXXXX47]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50580": {
+      "content": "[XXXXX511]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50581": {
+      "content": "[XXXXX81]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50582": {
+      "content": "[XXXXX139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50583": {
+      "content": "[XXXXX226]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50584": {
+      "content": "[XXXXX563]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50585": {
+      "content": "[XXXXX708]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50586": {
+      "content": "[XXXXX820]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50587": {
+      "content": "[XXXXX65]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50588": {
+      "content": "[XXXXX381]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50589": {
+      "content": "[XXXXX22]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50590": {
+      "content": "[XXXXX1064]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50591": {
+      "content": "[XXXXX874]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50592": {
+      "content": "[XXXXX944]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50593": {
+      "content": "[XXXXX6]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50594": {
+      "content": "[XXXXX313]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50595": {
+      "content": "[XXXXX471]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50596": {
+      "content": "[XXXXX1118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50597": {
+      "content": "[XXXXX849]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50598": {
+      "content": "[XXXXX483]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50599": {
+      "content": "[XXXXX713]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50600": {
+      "content": "[XXXXX222]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50601": {
+      "content": "[XXXXX640]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50602": {
+      "content": "[XXXXX12]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50603": {
+      "content": "[XXXXX285]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50604": {
+      "content": "[XXXXX327]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50605": {
+      "content": "[XXXXX378]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50606": {
+      "content": "[XXXXX790]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50607": {
+      "content": "[XXXXX1179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50608": {
+      "content": "[XXXXX15]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50609": {
+      "content": "[XXXXX229]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50610": {
+      "content": "[XXXXX771]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50611": {
+      "content": "[XXXXX559]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50612": {
+      "content": "[XXXXX253]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50613": {
+      "content": "[XXXXX644]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50614": {
+      "content": "[XXXXX811]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50615": {
+      "content": "[XXXXX554]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50616": {
+      "content": "[XXXXX744]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50617": {
+      "content": "[XXXXX786]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50618": {
+      "content": "[XXXXX913]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50619": {
+      "content": "[XXXXX966]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50620": {
+      "content": "[XXXXX972]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50621": {
+      "content": "[XXXXX664]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50622": {
+      "content": "[XXXXX1131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50623": {
+      "content": "[XXXXX1132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50624": {
+      "content": "[XXXXX376]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50625": {
+      "content": "[XXXXX672]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50626": {
+      "content": "[XXXXX1013]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50627": {
+      "content": "[XXXXX328]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50628": {
+      "content": "[XXXXX889]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50629": {
+      "content": "[XXXXX1141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50630": {
+      "content": "[XXXXX429]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50631": {
+      "content": "[XXXXX114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50632": {
+      "content": "[XXXXX523]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50633": {
+      "content": "[XXXXX833]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50634": {
+      "content": "[XXXXX927]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50635": {
+      "content": "[XXXXX297]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50636": {
+      "content": "[XXXXX812]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50637": {
+      "content": "[XXXXX1062]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50638": {
+      "content": "[XXXXX152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50639": {
+      "content": "[XXXXX1010]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50640": {
+      "content": "[XXXXX690]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50641": {
+      "content": "[XXXXX363]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50642": {
+      "content": "[XXXXX1103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50643": {
+      "content": "[XXXXX194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50644": {
+      "content": "[XXXXX844]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50645": {
+      "content": "[XXXXX667]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50646": {
+      "content": "[XXXXX720]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50647": {
+      "content": "[XXXXX770]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50648": {
+      "content": "[XXXXX515]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50649": {
+      "content": "[XXXXX196]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50650": {
+      "content": "[XXXXX283]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50651": {
+      "content": "[XXXXX95]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50652": {
+      "content": "[XXXXX528]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50653": {
+      "content": "[XXXXX749]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50654": {
+      "content": "[XXXXX934]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50655": {
+      "content": "[XXXXX1052]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50656": {
+      "content": "[XXXXX1188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50657": {
+      "content": "[XXXXX1001]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50658": {
+      "content": "[XXXXX785]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50659": {
+      "content": "[XXXXX393]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50660": {
+      "content": "[XXXXX502]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50661": {
+      "content": "[XXXXX404]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50662": {
+      "content": "[XXXXX129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50663": {
+      "content": "[XXXXX643]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50664": {
+      "content": "[XXXXX1086]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50665": {
+      "content": "[XXXXX1104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50666": {
+      "content": "[XXXXX326]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50667": {
+      "content": "[XXXXX330]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50668": {
+      "content": "[XXXXX620]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50669": {
+      "content": "[XXXXX193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50670": {
+      "content": "[XXXXX470]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50671": {
+      "content": "[XXXXX279]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50672": {
+      "content": "[XXXXX97]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50673": {
+      "content": "[XXXXX177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50674": {
+      "content": "[XXXXX510]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50675": {
+      "content": "[XXXXX225]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50676": {
+      "content": "[XXXXX572]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50677": {
+      "content": "[XXXXX777]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50678": {
+      "content": "[XXXXX1135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50679": {
+      "content": "[XXXXX1160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50680": {
+      "content": "[XXXXX558]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50681": {
+      "content": "[XXXXX416]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50682": {
+      "content": "[XXXXX246]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50683": {
+      "content": "[XXXXX799]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50684": {
+      "content": "[XXXXX153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50685": {
+      "content": "[XXXXX671]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50686": {
+      "content": "[XXXXX809]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50687": {
+      "content": "[XXXXX525]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50688": {
+      "content": "[XXXXX1004]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50689": {
+      "content": "[XXXXX1005]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50690": {
+      "content": "[XXXXX1194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50691": {
+      "content": "[XXXXX408]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50692": {
+      "content": "[XXXXX492]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50693": {
+      "content": "[XXXXX973]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50694": {
+      "content": "[XXXXX242]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50695": {
+      "content": "[XXXXX357]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50696": {
+      "content": "[XXXXX851]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50697": {
+      "content": "[XXXXX999]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50698": {
+      "content": "[XXXXX969]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50699": {
+      "content": "[XXXXX453]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50700": {
+      "content": "[XXXXX730]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50701": {
+      "content": "[XXXXX54]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50702": {
+      "content": "[XXXXX480]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50703": {
+      "content": "[XXXXX564]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50704": {
+      "content": "[XXXXX600]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50705": {
+      "content": "[XXXXX654]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50706": {
+      "content": "[XXXXX37]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50707": {
+      "content": "[XXXXX605]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50708": {
+      "content": "[XXXXX164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50709": {
+      "content": "[XXXXX395]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50710": {
+      "content": "[XXXXX401]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50711": {
+      "content": "[XXXXX446]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50712": {
+      "content": "[XXXXX658]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50713": {
+      "content": "[XXXXX60]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50714": {
+      "content": "[XXXXX107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50715": {
+      "content": "[XXXXX131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50716": {
+      "content": "[XXXXX387]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50717": {
+      "content": "[XXXXX67]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50718": {
+      "content": "[XXXXX743]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50719": {
+      "content": "[XXXXX657]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50720": {
+      "content": "[XXXXX418]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50721": {
+      "content": "[XXXXX787]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50722": {
+      "content": "[XXXXX838]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50723": {
+      "content": "[XXXXX298]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50724": {
+      "content": "[XXXXX1007]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50725": {
+      "content": "[XXXXX1027]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50726": {
+      "content": "[XXXXX1078]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50727": {
+      "content": "[XXXXX651]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50728": {
+      "content": "[XXXXX875]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50729": {
+      "content": "[XXXXX258]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50730": {
+      "content": "[XXXXX413]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50731": {
+      "content": "[XXXXX1092]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50732": {
+      "content": "[XXXXX124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50733": {
+      "content": "[XXXXX308]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50734": {
+      "content": "[XXXXX1085]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50735": {
+      "content": "[XXXXX1170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50736": {
+      "content": "[XXXXX38]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50737": {
+      "content": "[XXXXX438]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50738": {
+      "content": "[XXXXX475]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50739": {
+      "content": "[XXXXX900]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50740": {
+      "content": "[XXXXX263]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50741": {
+      "content": "[XXXXX166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50742": {
+      "content": "[XXXXX698]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50743": {
+      "content": "[XXXXX1127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50744": {
+      "content": "[XXXXX1181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50745": {
+      "content": "[XXXXX763]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50746": {
+      "content": "[XXXXX627]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50747": {
+      "content": "[XXXXX250]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50748": {
+      "content": "[XXXXX757]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50749": {
+      "content": "[XXXXX142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50750": {
+      "content": "[XXXXX794]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50751": {
+      "content": "[XXXXX128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50752": {
+      "content": "[XXXXX35]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50753": {
+      "content": "[XXXXX482]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50754": {
+      "content": "[XXXXX834]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50755": {
+      "content": "[XXXXX679]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50756": {
+      "content": "[XXXXX839]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50757": {
+      "content": "[XXXXX138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50758": {
+      "content": "[XXXXX1066]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50759": {
+      "content": "[XXXXX116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50760": {
+      "content": "[XXXXX317]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50761": {
+      "content": "[XXXXX490]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50762": {
+      "content": "[XXXXX443]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50763": {
+      "content": "[XXXXX879]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50764": {
+      "content": "[XXXXX1101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50765": {
+      "content": "[XXXXX711]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50766": {
+      "content": "[XXXXX123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50767": {
+      "content": "[XXXXX1152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50768": {
+      "content": "[XXXXX692]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50769": {
+      "content": "[XXXXX555]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50770": {
+      "content": "[XXXXX266]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50771": {
+      "content": "[XXXXX0]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50772": {
+      "content": "[XXXXX332]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50773": {
+      "content": "[XXXXX497]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50774": {
+      "content": "[XXXXX904]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50775": {
+      "content": "[XXXXX1019]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50776": {
+      "content": "[XXXXX709]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50777": {
+      "content": "[XXXXX351]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50778": {
+      "content": "[XXXXX764]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50779": {
+      "content": "[XXXXX625]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50780": {
+      "content": "[XXXXX798]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50781": {
+      "content": "[XXXXX205]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50782": {
+      "content": "[XXXXX922]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50783": {
+      "content": "[XXXXX1075]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50784": {
+      "content": "[XXXXX8]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50785": {
+      "content": "[XXXXX422]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50786": {
+      "content": "[XXXXX638]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50787": {
+      "content": "[XXXXX98]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50788": {
+      "content": "[XXXXX814]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50789": {
+      "content": "[XXXXX1057]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50790": {
+      "content": "[XXXXX1070]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50791": {
+      "content": "[XXXXX411]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50792": {
+      "content": "[XXXXX768]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50793": {
+      "content": "[XXXXX1165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50794": {
+      "content": "[XXXXX888]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50795": {
+      "content": "[XXXXX636]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50796": {
+      "content": "[XXXXX1047]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50797": {
+      "content": "[XXXXX960]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50798": {
+      "content": "[XXXXX910]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50799": {
+      "content": "[XXXXX42]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50800": {
+      "content": "[XXXXX238]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50801": {
+      "content": "[XXXXX383]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50802": {
+      "content": "[XXXXX1032]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50803": {
+      "content": "[XXXXX577]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50804": {
+      "content": "[XXXXX268]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50805": {
+      "content": "[XXXXX179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50806": {
+      "content": "[XXXXX1076]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50807": {
+      "content": "[XXXXX1167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50808": {
+      "content": "[XXXXX1172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50809": {
+      "content": "[XXXXX665]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50810": {
+      "content": "[XXXXX126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50811": {
+      "content": "[XXXXX347]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50812": {
+      "content": "[XXXXX544]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50813": {
+      "content": "[XXXXX1026]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50814": {
+      "content": "[XXXXX159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50815": {
+      "content": "[XXXXX503]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50816": {
+      "content": "[XXXXX583]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50817": {
+      "content": "[XXXXX668]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50818": {
+      "content": "[XXXXX1115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50819": {
+      "content": "[XXXXX112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50820": {
+      "content": "[XXXXX154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50821": {
+      "content": "[XXXXX761]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50822": {
+      "content": "[XXXXX540]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50823": {
+      "content": "[XXXXX755]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50824": {
+      "content": "[XXXXX255]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50825": {
+      "content": "[XXXXX459]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50826": {
+      "content": "[XXXXX1090]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50827": {
+      "content": "[XXXXX689]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50828": {
+      "content": "[XXXXX589]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50829": {
+      "content": "[XXXXX122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50830": {
+      "content": "[XXXXX789]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50831": {
+      "content": "[XXXXX481]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50832": {
+      "content": "[XXXXX1044]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50833": {
+      "content": "[XXXXX274]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50834": {
+      "content": "[XXXXX957]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50835": {
+      "content": "[XXXXX1121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50836": {
+      "content": "[XXXXX464]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50837": {
+      "content": "[XXXXX495]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50838": {
+      "content": "[XXXXX1097]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50839": {
+      "content": "[XXXXX581]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50840": {
+      "content": "[XXXXX200]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50841": {
+      "content": "[XXXXX954]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50842": {
+      "content": "[XXXXX48]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50843": {
+      "content": "[XXXXX855]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50844": {
+      "content": "[XXXXX419]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50845": {
+      "content": "[XXXXX919]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50846": {
+      "content": "[XXXXX451]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50847": {
+      "content": "[XXXXX869]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50848": {
+      "content": "[XXXXX1082]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50849": {
+      "content": "[XXXXX1185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50850": {
+      "content": "[XXXXX859]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50851": {
+      "content": "[XXXXX1139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50852": {
+      "content": "[XXXXX1072]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50853": {
+      "content": "[XXXXX220]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50854": {
+      "content": "[XXXXX465]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50855": {
+      "content": "[XXXXX1105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50856": {
+      "content": "[XXXXX1093]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50857": {
+      "content": "[XXXXX953]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50858": {
+      "content": "[XXXXX1187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50859": {
+      "content": "[XXXXX311]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50860": {
+      "content": "[XXXXX403]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50861": {
+      "content": "[XXXXX684]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50862": {
+      "content": "[XXXXX426]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50863": {
+      "content": "[XXXXX68]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50864": {
+      "content": "[XXXXX277]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50865": {
+      "content": "[XXXXX437]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50866": {
+      "content": "[XXXXX896]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50867": {
+      "content": "[XXXXX899]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50868": {
+      "content": "[XXXXX878]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50869": {
+      "content": "[XXXXX1073]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50870": {
+      "content": "[XXXXX774]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50871": {
+      "content": "[XXXXX315]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50872": {
+      "content": "[XXXXX631]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50873": {
+      "content": "[XXXXX223]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50874": {
+      "content": "[XXXXX86]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50875": {
+      "content": "[XXXXX607]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50876": {
+      "content": "[XXXXX149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50877": {
+      "content": "[XXXXX566]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50878": {
+      "content": "[XXXXX740]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50879": {
+      "content": "[XXXXX265]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50880": {
+      "content": "[XXXXX399]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50881": {
+      "content": "[XXXXX1053]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50882": {
+      "content": "[XXXXX1077]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50883": {
+      "content": "[XXXXX336]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50884": {
+      "content": "[XXXXX734]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50885": {
+      "content": "[XXXXX289]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50886": {
+      "content": "[XXXXX221]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50887": {
+      "content": "[XXXXX580]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50888": {
+      "content": "[XXXXX406]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50889": {
+      "content": "[XXXXX854]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50890": {
+      "content": "[XXXXX673]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50891": {
+      "content": "[XXXXX1146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50892": {
+      "content": "[XXXXX29]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50893": {
+      "content": "[XXXXX496]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50894": {
+      "content": "[XXXXX241]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50895": {
+      "content": "[XXXXX929]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50896": {
+      "content": "[XXXXX169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50897": {
+      "content": "[XXXXX1153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50898": {
+      "content": "[XXXXX440]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50899": {
+      "content": "[XXXXX385]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50900": {
+      "content": "[XXXXX499]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50901": {
+      "content": "[XXXXX718]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50902": {
+      "content": "[XXXXX848]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50903": {
+      "content": "[XXXXX877]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50904": {
+      "content": "[XXXXX641]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50905": {
+      "content": "[XXXXX1137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50906": {
+      "content": "[XXXXX269]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50907": {
+      "content": "[XXXXX521]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50908": {
+      "content": "[XXXXX234]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50909": {
+      "content": "[XXXXX987]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50910": {
+      "content": "[XXXXX741]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50911": {
+      "content": "[XXXXX349]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50912": {
+      "content": "[XXXXX93]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50913": {
+      "content": "[XXXXX247]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50914": {
+      "content": "[XXXXX961]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50915": {
+      "content": "[XXXXX1120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50916": {
+      "content": "[XXXXX369]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50917": {
+      "content": "[XXXXX479]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50918": {
+      "content": "[XXXXX892]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50919": {
+      "content": "[XXXXX553]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50920": {
+      "content": "[XXXXX906]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50921": {
+      "content": "[XXXXX571]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50922": {
+      "content": "[XXXXX1046]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50923": {
+      "content": "[XXXXX206]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50924": {
+      "content": "[XXXXX488]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50925": {
+      "content": "[XXXXX445]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50926": {
+      "content": "[XXXXX524]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50927": {
+      "content": "[XXXXX228]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50928": {
+      "content": "[XXXXX998]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50929": {
+      "content": "[XXXXX675]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50930": {
+      "content": "[XXXXX732]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50931": {
+      "content": "[XXXXX1028]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50932": {
+      "content": "[XXXXX494]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50933": {
+      "content": "[XXXXX965]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50934": {
+      "content": "[XXXXX1021]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50935": {
+      "content": "[XXXXX726]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50936": {
+      "content": "[XXXXX168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50937": {
+      "content": "[XXXXX606]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50938": {
+      "content": "[XXXXX974]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50939": {
+      "content": "[XXXXX504]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50940": {
+      "content": "[XXXXX556]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50941": {
+      "content": "[XXXXX1159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50942": {
+      "content": "[XXXXX417]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50943": {
+      "content": "[XXXXX1175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50944": {
+      "content": "[XXXXX1142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50945": {
+      "content": "[XXXXX753]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50946": {
+      "content": "[XXXXX824]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50947": {
+      "content": "[XXXXX251]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50948": {
+      "content": "[XXXXX345]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50949": {
+      "content": "[XXXXX610]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50950": {
+      "content": "[XXXXX276]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50951": {
+      "content": "[XXXXX783]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50952": {
+      "content": "[XXXXX74]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50953": {
+      "content": "[XXXXX1050]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50954": {
+      "content": "[XXXXX71]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50955": {
+      "content": "[XXXXX360]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50956": {
+      "content": "[XXXXX512]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50957": {
+      "content": "[XXXXX341]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50958": {
+      "content": "[XXXXX375]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50959": {
+      "content": "[XXXXX637]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50960": {
+      "content": "[XXXXX1116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50961": {
+      "content": "[XXXXX9]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50962": {
+      "content": "[XXXXX738]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50963": {
+      "content": "[XXXXX856]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50964": {
+      "content": "[XXXXX979]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50965": {
+      "content": "[XXXXX825]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50966": {
+      "content": "[XXXXX852]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50967": {
+      "content": "[XXXXX215]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50968": {
+      "content": "[XXXXX91]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50969": {
+      "content": "[XXXXX257]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50970": {
+      "content": "[XXXXX325]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50971": {
+      "content": "[XXXXX368]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50972": {
+      "content": "[XXXXX1124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50973": {
+      "content": "[XXXXX188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50974": {
+      "content": "[XXXXX905]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50975": {
+      "content": "[XXXXX284]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50976": {
+      "content": "[XXXXX11]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50977": {
+      "content": "[XXXXX83]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50978": {
+      "content": "[XXXXX611]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50979": {
+      "content": "[XXXXX51]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50980": {
+      "content": "[XXXXX99]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50981": {
+      "content": "[XXXXX288]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50982": {
+      "content": "[XXXXX945]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50983": {
+      "content": "[XXXXX975]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50984": {
+      "content": "[XXXXX282]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50985": {
+      "content": "[XXXXX1068]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50986": {
+      "content": "[XXXXX1180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50987": {
+      "content": "[XXXXX574]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50988": {
+      "content": "[XXXXX305]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50989": {
+      "content": "[XXXXX565]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50990": {
+      "content": "[XXXXX865]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50991": {
+      "content": "[XXXXX1014]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50992": {
+      "content": "[XXXXX1138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50993": {
+      "content": "[XXXXX134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50994": {
+      "content": "[XXXXX321]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50995": {
+      "content": "[XXXXX752]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50996": {
+      "content": "[XXXXX108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50997": {
+      "content": "[XXXXX339]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50998": {
+      "content": "[XXXXX893]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50999": {
+      "content": "[XXXXX1177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51000": {
+      "content": "[XXXXX988]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51001": {
+      "content": "[XXXXX719]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51002": {
+      "content": "[XXXXX1059]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51003": {
+      "content": "[XXXXX421]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51004": {
+      "content": "[XXXXX670]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51005": {
+      "content": "[XXXXX949]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51006": {
+      "content": "[XXXXX14]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51007": {
+      "content": "[XXXXX1087]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51008": {
+      "content": "[XXXXX382]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51009": {
+      "content": "[XXXXX531]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51010": {
+      "content": "[XXXXX1079]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51011": {
+      "content": "[XXXXX1067]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51012": {
+      "content": "[XXXXX655]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51013": {
+      "content": "[XXXXX340]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51014": {
+      "content": "[XXXXX398]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51015": {
+      "content": "[XXXXX175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51016": {
+      "content": "[XXXXX232]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51017": {
+      "content": "[XXXXX244]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51018": {
+      "content": "[XXXXX568]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51019": {
+      "content": "[XXXXX1110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51020": {
+      "content": "[XXXXX191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51021": {
+      "content": "[XXXXX931]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51022": {
+      "content": "[XXXXX832]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51023": {
+      "content": "[XXXXX1030]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51024": {
+      "content": "[XXXXX144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51025": {
+      "content": "[XXXXX1102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51026": {
+      "content": "[XXXXX300]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51027": {
+      "content": "[XXXXX996]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51028": {
+      "content": "[XXXXX248]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51029": {
+      "content": "[XXXXX66]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51030": {
+      "content": "[XXXXX735]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51031": {
+      "content": "[XXXXX20]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51032": {
+      "content": "[XXXXX694]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51033": {
+      "content": "[XXXXX845]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51034": {
+      "content": "[XXXXX500]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51035": {
+      "content": "[XXXXX613]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51036": {
+      "content": "[XXXXX117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51037": {
+      "content": "[XXXXX886]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51038": {
+      "content": "[XXXXX261]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51039": {
+      "content": "[XXXXX567]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51040": {
+      "content": "[XXXXX541]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51041": {
+      "content": "[XXXXX529]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51042": {
+      "content": "[XXXXX699]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51043": {
+      "content": "[XXXXX715]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51044": {
+      "content": "[XXXXX1003]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51045": {
+      "content": "[XXXXX518]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51046": {
+      "content": "[XXXXX891]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51047": {
+      "content": "[XXXXX192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51048": {
+      "content": "[XXXXX53]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51049": {
+      "content": "[XXXXX428]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51050": {
+      "content": "[XXXXX183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51051": {
+      "content": "[XXXXX850]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51052": {
+      "content": "[XXXXX539]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51053": {
+      "content": "[XXXXX527]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51054": {
+      "content": "[XXXXX660]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51055": {
+      "content": "[XXXXX409]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51056": {
+      "content": "[XXXXX1122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51057": {
+      "content": "[XXXXX898]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51058": {
+      "content": "[XXXXX858]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51059": {
+      "content": "[XXXXX534]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51060": {
+      "content": "[XXXXX756]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51061": {
+      "content": "[XXXXX63]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51062": {
+      "content": "[XXXXX49]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51063": {
+      "content": "[XXXXX1106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51064": {
+      "content": "[XXXXX111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51065": {
+      "content": "[XXXXX955]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51066": {
+      "content": "[XXXXX309]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51067": {
+      "content": "[XXXXX538]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51068": {
+      "content": "[XXXXX823]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51069": {
+      "content": "[XXXXX867]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51070": {
+      "content": "[XXXXX587]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51071": {
+      "content": "[XXXXX243]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51072": {
+      "content": "[XXXXX677]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51073": {
+      "content": "[XXXXX1017]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51074": {
+      "content": "[XXXXX173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51075": {
+      "content": "[XXXXX682]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51076": {
+      "content": "[XXXXX1184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51077": {
+      "content": "[XXXXX1009]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51078": {
+      "content": "[XXXXX704]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51079": {
+      "content": "[XXXXX532]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51080": {
+      "content": "[XXXXX901]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51081": {
+      "content": "[XXXXX120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51082": {
+      "content": "[XXXXX388]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51083": {
+      "content": "[XXXXX405]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51084": {
+      "content": "[XXXXX788]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51085": {
+      "content": "[XXXXX728]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51086": {
+      "content": "[XXXXX425]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51087": {
+      "content": "[XXXXX883]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51088": {
+      "content": "[XXXXX837]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51089": {
+      "content": "[XXXXX350]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51090": {
+      "content": "[XXXXX716]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51091": {
+      "content": "[XXXXX579]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51092": {
+      "content": "[XXXXX909]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51093": {
+      "content": "[XXXXX884]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51094": {
+      "content": "[XXXXX1011]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51095": {
+      "content": "[XXXXX372]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51096": {
+      "content": "[XXXXX370]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51097": {
+      "content": "[XXXXX468]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51098": {
+      "content": "[XXXXX688]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51099": {
+      "content": "[XXXXX56]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51100": {
+      "content": "[XXXXX653]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51101": {
+      "content": "[XXXXX623]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51102": {
+      "content": "[XXXXX552]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51103": {
+      "content": "[XXXXX314]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51104": {
+      "content": "[XXXXX1018]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51105": {
+      "content": "[XXXXX1091]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51106": {
+      "content": "[XXXXX342]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51107": {
+      "content": "[XXXXX1065]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51108": {
+      "content": "[XXXXX1161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51109": {
+      "content": "[XXXXX959]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51110": {
+      "content": "[XXXXX1035]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51111": {
+      "content": "[XXXXX530]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51112": {
+      "content": "[XXXXX69]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51113": {
+      "content": "[XXXXX489]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51114": {
+      "content": "[XXXXX1]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51115": {
+      "content": "[XXXXX207]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51116": {
+      "content": "[XXXXX433]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51117": {
+      "content": "[XXXXX358]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51118": {
+      "content": "[XXXXX601]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51119": {
+      "content": "[XXXXX2]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51120": {
+      "content": "[XXXXX722]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51121": {
+      "content": "[XXXXX985]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51122": {
+      "content": "[XXXXX908]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51123": {
+      "content": "[XXXXX1024]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51124": {
+      "content": "[XXXXX1111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51125": {
+      "content": "[XXXXX1113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51126": {
+      "content": "[XXXXX678]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51127": {
+      "content": "[XXXXX19]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51128": {
+      "content": "[XXXXX1186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51129": {
+      "content": "[XXXXX808]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51130": {
+      "content": "[XXXXX493]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51131": {
+      "content": "[XXXXX1155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51132": {
+      "content": "[XXXXX217]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51133": {
+      "content": "[XXXXX616]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51134": {
+      "content": "[XXXXX835]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51135": {
+      "content": "[XXXXX994]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51136": {
+      "content": "[XXXXX484]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51137": {
+      "content": "[XXXXX362]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51138": {
+      "content": "[XXXXX582]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51139": {
+      "content": "[XXXXX1034]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51140": {
+      "content": "[XXXXX772]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51141": {
+      "content": "[XXXXX457]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51142": {
+      "content": "[XXXXX604]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51143": {
+      "content": "[XXXXX456]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51144": {
+      "content": "[XXXXX145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51145": {
+      "content": "[XXXXX476]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51146": {
+      "content": "[XXXXX218]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51147": {
+      "content": "[XXXXX199]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51148": {
+      "content": "[XXXXX364]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51149": {
+      "content": "[XXXXX302]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51150": {
+      "content": "[XXXXX881]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51151": {
+      "content": "[XXXXX1088]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51152": {
+      "content": "[XXXXX356]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51153": {
+      "content": "[XXXXX936]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51154": {
+      "content": "[XXXXX978]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51155": {
+      "content": "[XXXXX895]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51156": {
+      "content": "[XXXXX993]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51157": {
+      "content": "[XXXXX458]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51158": {
+      "content": "[XXXXX1002]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51159": {
+      "content": "[XXXXX1022]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51160": {
+      "content": "[XXXXX25]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51161": {
+      "content": "[XXXXX766]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51162": {
+      "content": "[XXXXX64]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51163": {
+      "content": "[XXXXX211]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51164": {
+      "content": "[XXXXX82]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51165": {
+      "content": "[XXXXX634]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51166": {
+      "content": "[XXXXX661]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51167": {
+      "content": "[XXXXX748]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51168": {
+      "content": "[XXXXX778]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51169": {
+      "content": "[XXXXX24]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51170": {
+      "content": "[XXXXX448]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51171": {
+      "content": "[XXXXX887]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51172": {
+      "content": "[XXXXX890]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51173": {
+      "content": "[XXXXX754]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51174": {
+      "content": "[XXXXX343]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51175": {
+      "content": "[XXXXX1069]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51176": {
+      "content": "[XXXXX294]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51177": {
+      "content": "[XXXXX295]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51178": {
+      "content": "[XXXXX197]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51179": {
+      "content": "[XXXXX210]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51180": {
+      "content": "[XXXXX630]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51181": {
+      "content": "[XXXXX707]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51182": {
+      "content": "[XXXXX864]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51183": {
+      "content": "[XXXXX391]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51184": {
+      "content": "[XXXXX338]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51185": {
+      "content": "[XXXXX800]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51186": {
+      "content": "[XXXXX841]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51187": {
+      "content": "[XXXXX967]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51188": {
+      "content": "[XXXXX793]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51189": {
+      "content": "[XXXXX916]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51190": {
+      "content": "[XXXXX603]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51191": {
+      "content": "[XXXXX270]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51192": {
+      "content": "[XXXXX105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51193": {
+      "content": "[XXXXX1016]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51194": {
+      "content": "[XXXXX804]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51195": {
+      "content": "[XXXXX264]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51196": {
+      "content": "[XXXXX155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51197": {
+      "content": "[XXXXX1190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51198": {
+      "content": "[XXXXX813]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51199": {
+      "content": "[XXXXX546]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "keep_accents": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}
diff --git a/checkpoint-9500/trainer_state.json b/checkpoint-9500/trainer_state.json
new file mode 100644
index 0000000..aaa76eb
--- /dev/null
+++ b/checkpoint-9500/trainer_state.json
@@ -0,0 +1,19243 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 7.8707539353769675,
+  "eval_steps": 500,
+  "global_step": 9500,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "entropy": 7.218191003799438,
+      "epoch": 0.004142502071251036,
+      "grad_norm": 1.265625,
+      "learning_rate": 2e-06,
+      "loss": 6.8898,
+      "mean_token_accuracy": 0.08805170804262161,
+      "num_tokens": 9149.0,
+      "step": 5
+    },
+    {
+      "entropy": 7.191673707962036,
+      "epoch": 0.008285004142502071,
+      "grad_norm": 1.5078125,
+      "learning_rate": 4.5e-06,
+      "loss": 6.7268,
+      "mean_token_accuracy": 0.09304728880524635,
+      "num_tokens": 16800.0,
+      "step": 10
+    },
+    {
+      "entropy": 7.134524202346801,
+      "epoch": 0.012427506213753107,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7e-06,
+      "loss": 6.8905,
+      "mean_token_accuracy": 0.0921505056321621,
+      "num_tokens": 26617.0,
+      "step": 15
+    },
+    {
+      "entropy": 7.115550088882446,
+      "epoch": 0.016570008285004142,
+      "grad_norm": 1.25,
+      "learning_rate": 9.5e-06,
+      "loss": 6.8021,
+      "mean_token_accuracy": 0.09268744736909866,
+      "num_tokens": 35855.0,
+      "step": 20
+    },
+    {
+      "entropy": 7.12396879196167,
+      "epoch": 0.020712510356255178,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.2e-05,
+      "loss": 7.0094,
+      "mean_token_accuracy": 0.08752714470028877,
+      "num_tokens": 45644.0,
+      "step": 25
+    },
+    {
+      "entropy": 7.054446792602539,
+      "epoch": 0.024855012427506214,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.4500000000000002e-05,
+      "loss": 6.8922,
+      "mean_token_accuracy": 0.09398627206683159,
+      "num_tokens": 54641.0,
+      "step": 30
+    },
+    {
+      "entropy": 7.012255907058716,
+      "epoch": 0.02899751449875725,
+      "grad_norm": 1.0234375,
+      "learning_rate": 1.7000000000000003e-05,
+      "loss": 6.7519,
+      "mean_token_accuracy": 0.08958807587623596,
+      "num_tokens": 63924.0,
+      "step": 35
+    },
+    {
+      "entropy": 7.068031549453735,
+      "epoch": 0.033140016570008285,
+      "grad_norm": 1.1328125,
+      "learning_rate": 1.95e-05,
+      "loss": 6.89,
+      "mean_token_accuracy": 0.09437783882021904,
+      "num_tokens": 73452.0,
+      "step": 40
+    },
+    {
+      "entropy": 7.06072301864624,
+      "epoch": 0.037282518641259324,
+      "grad_norm": 1.0234375,
+      "learning_rate": 2.2e-05,
+      "loss": 6.9455,
+      "mean_token_accuracy": 0.0851291574537754,
+      "num_tokens": 82731.0,
+      "step": 45
+    },
+    {
+      "entropy": 7.090083169937134,
+      "epoch": 0.041425020712510356,
+      "grad_norm": 1.1015625,
+      "learning_rate": 2.4500000000000003e-05,
+      "loss": 6.7734,
+      "mean_token_accuracy": 0.09048294499516488,
+      "num_tokens": 92626.0,
+      "step": 50
+    },
+    {
+      "entropy": 7.149203157424926,
+      "epoch": 0.045567522783761395,
+      "grad_norm": 1.21875,
+      "learning_rate": 2.7e-05,
+      "loss": 6.9497,
+      "mean_token_accuracy": 0.08217904865741729,
+      "num_tokens": 101380.0,
+      "step": 55
+    },
+    {
+      "entropy": 7.119951963424683,
+      "epoch": 0.04971002485501243,
+      "grad_norm": 1.046875,
+      "learning_rate": 2.95e-05,
+      "loss": 6.8604,
+      "mean_token_accuracy": 0.09202293381094932,
+      "num_tokens": 109895.0,
+      "step": 60
+    },
+    {
+      "entropy": 7.2014998435974125,
+      "epoch": 0.053852526926263466,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.2e-05,
+      "loss": 6.8449,
+      "mean_token_accuracy": 0.09257669150829315,
+      "num_tokens": 119203.0,
+      "step": 65
+    },
+    {
+      "entropy": 7.1111664295196535,
+      "epoch": 0.0579950289975145,
+      "grad_norm": 1.1484375,
+      "learning_rate": 3.4500000000000005e-05,
+      "loss": 6.7903,
+      "mean_token_accuracy": 0.09657297283411026,
+      "num_tokens": 127572.0,
+      "step": 70
+    },
+    {
+      "entropy": 7.04930944442749,
+      "epoch": 0.06213753106876554,
+      "grad_norm": 1.03125,
+      "learning_rate": 3.7e-05,
+      "loss": 6.8304,
+      "mean_token_accuracy": 0.09063600301742554,
+      "num_tokens": 137161.0,
+      "step": 75
+    },
+    {
+      "entropy": 7.044711875915527,
+      "epoch": 0.06628003314001657,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.95e-05,
+      "loss": 6.9451,
+      "mean_token_accuracy": 0.08874713778495788,
+      "num_tokens": 145991.0,
+      "step": 80
+    },
+    {
+      "entropy": 7.130092525482178,
+      "epoch": 0.07042253521126761,
+      "grad_norm": 1.0546875,
+      "learning_rate": 4.2000000000000004e-05,
+      "loss": 6.8464,
+      "mean_token_accuracy": 0.08955071866512299,
+      "num_tokens": 154927.0,
+      "step": 85
+    },
+    {
+      "entropy": 7.090402746200562,
+      "epoch": 0.07456503728251865,
+      "grad_norm": 1.34375,
+      "learning_rate": 4.45e-05,
+      "loss": 6.7595,
+      "mean_token_accuracy": 0.09832768961787224,
+      "num_tokens": 163234.0,
+      "step": 90
+    },
+    {
+      "entropy": 7.08957576751709,
+      "epoch": 0.07870753935376967,
+      "grad_norm": 1.015625,
+      "learning_rate": 4.7000000000000004e-05,
+      "loss": 6.7163,
+      "mean_token_accuracy": 0.09379880875349045,
+      "num_tokens": 171554.0,
+      "step": 95
+    },
+    {
+      "entropy": 7.044517278671265,
+      "epoch": 0.08285004142502071,
+      "grad_norm": 1.1328125,
+      "learning_rate": 4.9500000000000004e-05,
+      "loss": 6.8173,
+      "mean_token_accuracy": 0.0955286517739296,
+      "num_tokens": 180171.0,
+      "step": 100
+    },
+    {
+      "entropy": 7.050950908660889,
+      "epoch": 0.08699254349627175,
+      "grad_norm": 1.0859375,
+      "learning_rate": 5.2e-05,
+      "loss": 6.761,
+      "mean_token_accuracy": 0.09741089940071106,
+      "num_tokens": 189216.0,
+      "step": 105
+    },
+    {
+      "entropy": 7.173562717437744,
+      "epoch": 0.09113504556752279,
+      "grad_norm": 1.015625,
+      "learning_rate": 5.45e-05,
+      "loss": 6.9519,
+      "mean_token_accuracy": 0.08675800338387489,
+      "num_tokens": 200022.0,
+      "step": 110
+    },
+    {
+      "entropy": 7.183744478225708,
+      "epoch": 0.09527754763877382,
+      "grad_norm": 1.2265625,
+      "learning_rate": 5.7e-05,
+      "loss": 6.8642,
+      "mean_token_accuracy": 0.09210581332445145,
+      "num_tokens": 208686.0,
+      "step": 115
+    },
+    {
+      "entropy": 7.121539115905762,
+      "epoch": 0.09942004971002485,
+      "grad_norm": 1.1875,
+      "learning_rate": 5.9499999999999996e-05,
+      "loss": 6.8829,
+      "mean_token_accuracy": 0.09462191313505172,
+      "num_tokens": 218266.0,
+      "step": 120
+    },
+    {
+      "entropy": 7.006736946105957,
+      "epoch": 0.1035625517812759,
+      "grad_norm": 1.046875,
+      "learning_rate": 6.2e-05,
+      "loss": 6.7523,
+      "mean_token_accuracy": 0.08771666437387467,
+      "num_tokens": 227658.0,
+      "step": 125
+    },
+    {
+      "entropy": 7.040027761459351,
+      "epoch": 0.10770505385252693,
+      "grad_norm": 1.1015625,
+      "learning_rate": 6.450000000000001e-05,
+      "loss": 6.7014,
+      "mean_token_accuracy": 0.1004502885043621,
+      "num_tokens": 236301.0,
+      "step": 130
+    },
+    {
+      "entropy": 7.106470441818237,
+      "epoch": 0.11184755592377796,
+      "grad_norm": 1.1171875,
+      "learning_rate": 6.7e-05,
+      "loss": 6.8424,
+      "mean_token_accuracy": 0.08812138065695763,
+      "num_tokens": 246355.0,
+      "step": 135
+    },
+    {
+      "entropy": 7.174679756164551,
+      "epoch": 0.115990057995029,
+      "grad_norm": 1.15625,
+      "learning_rate": 6.950000000000001e-05,
+      "loss": 6.8174,
+      "mean_token_accuracy": 0.0924198254942894,
+      "num_tokens": 256023.0,
+      "step": 140
+    },
+    {
+      "entropy": 7.10174069404602,
+      "epoch": 0.12013256006628004,
+      "grad_norm": 0.9921875,
+      "learning_rate": 7.2e-05,
+      "loss": 6.9036,
+      "mean_token_accuracy": 0.08638993799686431,
+      "num_tokens": 266893.0,
+      "step": 145
+    },
+    {
+      "entropy": 7.019921684265137,
+      "epoch": 0.12427506213753108,
+      "grad_norm": 1.1640625,
+      "learning_rate": 7.45e-05,
+      "loss": 6.6606,
+      "mean_token_accuracy": 0.08872481286525727,
+      "num_tokens": 276075.0,
+      "step": 150
+    },
+    {
+      "entropy": 7.042754888534546,
+      "epoch": 0.12841756420878211,
+      "grad_norm": 1.25,
+      "learning_rate": 7.7e-05,
+      "loss": 6.7532,
+      "mean_token_accuracy": 0.09296932220458984,
+      "num_tokens": 285529.0,
+      "step": 155
+    },
+    {
+      "entropy": 7.064399909973145,
+      "epoch": 0.13256006628003314,
+      "grad_norm": 1.15625,
+      "learning_rate": 7.950000000000001e-05,
+      "loss": 6.762,
+      "mean_token_accuracy": 0.09406789913773536,
+      "num_tokens": 294403.0,
+      "step": 160
+    },
+    {
+      "entropy": 7.152362823486328,
+      "epoch": 0.13670256835128416,
+      "grad_norm": 1.28125,
+      "learning_rate": 8.2e-05,
+      "loss": 6.8553,
+      "mean_token_accuracy": 0.09358441680669785,
+      "num_tokens": 303507.0,
+      "step": 165
+    },
+    {
+      "entropy": 7.071487474441528,
+      "epoch": 0.14084507042253522,
+      "grad_norm": 1.21875,
+      "learning_rate": 8.450000000000001e-05,
+      "loss": 6.7534,
+      "mean_token_accuracy": 0.09645206108689308,
+      "num_tokens": 312393.0,
+      "step": 170
+    },
+    {
+      "entropy": 6.956210470199585,
+      "epoch": 0.14498757249378624,
+      "grad_norm": 1.0859375,
+      "learning_rate": 8.7e-05,
+      "loss": 6.7226,
+      "mean_token_accuracy": 0.09953253641724587,
+      "num_tokens": 321309.0,
+      "step": 175
+    },
+    {
+      "entropy": 7.2200812816619875,
+      "epoch": 0.1491300745650373,
+      "grad_norm": 1.1328125,
+      "learning_rate": 8.95e-05,
+      "loss": 6.7879,
+      "mean_token_accuracy": 0.09582221284508705,
+      "num_tokens": 330217.0,
+      "step": 180
+    },
+    {
+      "entropy": 6.964824962615967,
+      "epoch": 0.15327257663628832,
+      "grad_norm": 1.2109375,
+      "learning_rate": 9.2e-05,
+      "loss": 6.8296,
+      "mean_token_accuracy": 0.09584516286849976,
+      "num_tokens": 339587.0,
+      "step": 185
+    },
+    {
+      "entropy": 7.104565525054932,
+      "epoch": 0.15741507870753935,
+      "grad_norm": 1.28125,
+      "learning_rate": 9.45e-05,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.09563353508710862,
+      "num_tokens": 349367.0,
+      "step": 190
+    },
+    {
+      "entropy": 6.90956711769104,
+      "epoch": 0.1615575807787904,
+      "grad_norm": 1.1953125,
+      "learning_rate": 9.7e-05,
+      "loss": 6.6535,
+      "mean_token_accuracy": 0.09533214569091797,
+      "num_tokens": 358272.0,
+      "step": 195
+    },
+    {
+      "entropy": 7.184430170059204,
+      "epoch": 0.16570008285004142,
+      "grad_norm": 1.1875,
+      "learning_rate": 9.95e-05,
+      "loss": 6.8847,
+      "mean_token_accuracy": 0.09342379868030548,
+      "num_tokens": 367709.0,
+      "step": 200
+    },
+    {
+      "entropy": 7.108258152008057,
+      "epoch": 0.16984258492129245,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000102,
+      "loss": 6.7363,
+      "mean_token_accuracy": 0.09321728497743606,
+      "num_tokens": 376180.0,
+      "step": 205
+    },
+    {
+      "entropy": 7.143853282928466,
+      "epoch": 0.1739850869925435,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00010449999999999999,
+      "loss": 6.8927,
+      "mean_token_accuracy": 0.08639989122748375,
+      "num_tokens": 385636.0,
+      "step": 210
+    },
+    {
+      "entropy": 7.005528688430786,
+      "epoch": 0.17812758906379453,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000107,
+      "loss": 6.7603,
+      "mean_token_accuracy": 0.10387283116579056,
+      "num_tokens": 394486.0,
+      "step": 215
+    },
+    {
+      "entropy": 7.066776275634766,
+      "epoch": 0.18227009113504558,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0001095,
+      "loss": 6.7286,
+      "mean_token_accuracy": 0.09739693626761436,
+      "num_tokens": 403765.0,
+      "step": 220
+    },
+    {
+      "entropy": 6.9391695022583,
+      "epoch": 0.1864125932062966,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000112,
+      "loss": 6.7198,
+      "mean_token_accuracy": 0.09883175939321517,
+      "num_tokens": 412988.0,
+      "step": 225
+    },
+    {
+      "entropy": 7.029045248031617,
+      "epoch": 0.19055509527754763,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0001145,
+      "loss": 6.6219,
+      "mean_token_accuracy": 0.09850638806819915,
+      "num_tokens": 422096.0,
+      "step": 230
+    },
+    {
+      "entropy": 7.055552911758423,
+      "epoch": 0.19469759734879868,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011700000000000001,
+      "loss": 6.7907,
+      "mean_token_accuracy": 0.08912368193268776,
+      "num_tokens": 431333.0,
+      "step": 235
+    },
+    {
+      "entropy": 7.076433277130127,
+      "epoch": 0.1988400994200497,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00011949999999999999,
+      "loss": 6.825,
+      "mean_token_accuracy": 0.0998022735118866,
+      "num_tokens": 440382.0,
+      "step": 240
+    },
+    {
+      "entropy": 7.098494958877564,
+      "epoch": 0.20298260149130073,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000122,
+      "loss": 6.7184,
+      "mean_token_accuracy": 0.1035430908203125,
+      "num_tokens": 448469.0,
+      "step": 245
+    },
+    {
+      "entropy": 7.065437746047974,
+      "epoch": 0.2071251035625518,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001245,
+      "loss": 6.7562,
+      "mean_token_accuracy": 0.0973759837448597,
+      "num_tokens": 457356.0,
+      "step": 250
+    },
+    {
+      "entropy": 7.103154182434082,
+      "epoch": 0.2112676056338028,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000127,
+      "loss": 6.7821,
+      "mean_token_accuracy": 0.09721289053559304,
+      "num_tokens": 465928.0,
+      "step": 255
+    },
+    {
+      "entropy": 6.99681601524353,
+      "epoch": 0.21541010770505387,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0001295,
+      "loss": 6.6931,
+      "mean_token_accuracy": 0.09931288808584213,
+      "num_tokens": 475269.0,
+      "step": 260
+    },
+    {
+      "entropy": 6.960800266265869,
+      "epoch": 0.2195526097763049,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000132,
+      "loss": 6.679,
+      "mean_token_accuracy": 0.09512786641716957,
+      "num_tokens": 485450.0,
+      "step": 265
+    },
+    {
+      "entropy": 7.0514568328857425,
+      "epoch": 0.22369511184755592,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00013450000000000002,
+      "loss": 6.7347,
+      "mean_token_accuracy": 0.10228226557374001,
+      "num_tokens": 494029.0,
+      "step": 270
+    },
+    {
+      "entropy": 6.9516912460327145,
+      "epoch": 0.22783761391880697,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013700000000000002,
+      "loss": 6.676,
+      "mean_token_accuracy": 0.10202871784567832,
+      "num_tokens": 503253.0,
+      "step": 275
+    },
+    {
+      "entropy": 7.018160057067871,
+      "epoch": 0.231980115990058,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0001395,
+      "loss": 6.6685,
+      "mean_token_accuracy": 0.09529435187578202,
+      "num_tokens": 512857.0,
+      "step": 280
+    },
+    {
+      "entropy": 6.9714985370635985,
+      "epoch": 0.23612261806130902,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00014199999999999998,
+      "loss": 6.7719,
+      "mean_token_accuracy": 0.09288227260112762,
+      "num_tokens": 522319.0,
+      "step": 285
+    },
+    {
+      "entropy": 7.113205528259277,
+      "epoch": 0.24026512013256007,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0001445,
+      "loss": 6.7224,
+      "mean_token_accuracy": 0.09471780881285667,
+      "num_tokens": 531469.0,
+      "step": 290
+    },
+    {
+      "entropy": 6.976934480667114,
+      "epoch": 0.2444076222038111,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000147,
+      "loss": 6.756,
+      "mean_token_accuracy": 0.09480062946677208,
+      "num_tokens": 540470.0,
+      "step": 295
+    },
+    {
+      "entropy": 7.011937475204467,
+      "epoch": 0.24855012427506215,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0001495,
+      "loss": 6.7584,
+      "mean_token_accuracy": 0.09700122326612473,
+      "num_tokens": 550317.0,
+      "step": 300
+    },
+    {
+      "entropy": 7.0365160465240475,
+      "epoch": 0.2526926263463132,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000152,
+      "loss": 6.7067,
+      "mean_token_accuracy": 0.09434132501482964,
+      "num_tokens": 559409.0,
+      "step": 305
+    },
+    {
+      "entropy": 6.928857326507568,
+      "epoch": 0.25683512841756423,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00015450000000000001,
+      "loss": 6.768,
+      "mean_token_accuracy": 0.10764710158109665,
+      "num_tokens": 568726.0,
+      "step": 310
+    },
+    {
+      "entropy": 7.103991413116455,
+      "epoch": 0.2609776304888152,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000157,
+      "loss": 6.7179,
+      "mean_token_accuracy": 0.0976541943848133,
+      "num_tokens": 577926.0,
+      "step": 315
+    },
+    {
+      "entropy": 7.047203779220581,
+      "epoch": 0.2651201325600663,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001595,
+      "loss": 6.7448,
+      "mean_token_accuracy": 0.09809661954641342,
+      "num_tokens": 586695.0,
+      "step": 320
+    },
+    {
+      "entropy": 7.039609956741333,
+      "epoch": 0.26926263463131733,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000162,
+      "loss": 6.771,
+      "mean_token_accuracy": 0.0949723981320858,
+      "num_tokens": 596250.0,
+      "step": 325
+    },
+    {
+      "entropy": 7.063632202148438,
+      "epoch": 0.27340513670256833,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00016450000000000001,
+      "loss": 6.8221,
+      "mean_token_accuracy": 0.09051206335425377,
+      "num_tokens": 605761.0,
+      "step": 330
+    },
+    {
+      "entropy": 7.019326877593994,
+      "epoch": 0.2775476387738194,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00016700000000000002,
+      "loss": 6.7365,
+      "mean_token_accuracy": 0.09872144013643265,
+      "num_tokens": 614313.0,
+      "step": 335
+    },
+    {
+      "entropy": 7.037422132492066,
+      "epoch": 0.28169014084507044,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00016950000000000003,
+      "loss": 6.7692,
+      "mean_token_accuracy": 0.09455474764108658,
+      "num_tokens": 624470.0,
+      "step": 340
+    },
+    {
+      "entropy": 7.039082098007202,
+      "epoch": 0.28583264291632143,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00017199999999999998,
+      "loss": 6.6843,
+      "mean_token_accuracy": 0.09269843101501465,
+      "num_tokens": 633458.0,
+      "step": 345
+    },
+    {
+      "entropy": 6.942268037796021,
+      "epoch": 0.2899751449875725,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00017449999999999999,
+      "loss": 6.6939,
+      "mean_token_accuracy": 0.09877684414386749,
+      "num_tokens": 643251.0,
+      "step": 350
+    },
+    {
+      "entropy": 6.99584732055664,
+      "epoch": 0.29411764705882354,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000177,
+      "loss": 6.7635,
+      "mean_token_accuracy": 0.09713540598750114,
+      "num_tokens": 652005.0,
+      "step": 355
+    },
+    {
+      "entropy": 7.006586170196533,
+      "epoch": 0.2982601491300746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0001795,
+      "loss": 6.6575,
+      "mean_token_accuracy": 0.10120807588100433,
+      "num_tokens": 661003.0,
+      "step": 360
+    },
+    {
+      "entropy": 6.874996137619019,
+      "epoch": 0.3024026512013256,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000182,
+      "loss": 6.6294,
+      "mean_token_accuracy": 0.09844254851341247,
+      "num_tokens": 670221.0,
+      "step": 365
+    },
+    {
+      "entropy": 7.155635738372803,
+      "epoch": 0.30654515327257664,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001845,
+      "loss": 6.9236,
+      "mean_token_accuracy": 0.0882349319756031,
+      "num_tokens": 680756.0,
+      "step": 370
+    },
+    {
+      "entropy": 6.94540753364563,
+      "epoch": 0.3106876553438277,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000187,
+      "loss": 6.6157,
+      "mean_token_accuracy": 0.10289054960012436,
+      "num_tokens": 689641.0,
+      "step": 375
+    },
+    {
+      "entropy": 6.87992377281189,
+      "epoch": 0.3148301574150787,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001895,
+      "loss": 6.5696,
+      "mean_token_accuracy": 0.09839320331811904,
+      "num_tokens": 698209.0,
+      "step": 380
+    },
+    {
+      "entropy": 6.823869276046753,
+      "epoch": 0.31897265948632975,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000192,
+      "loss": 6.5736,
+      "mean_token_accuracy": 0.10355777889490128,
+      "num_tokens": 706712.0,
+      "step": 385
+    },
+    {
+      "entropy": 7.037634468078613,
+      "epoch": 0.3231151615575808,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0001945,
+      "loss": 6.8017,
+      "mean_token_accuracy": 0.09728012606501579,
+      "num_tokens": 716087.0,
+      "step": 390
+    },
+    {
+      "entropy": 6.911249494552612,
+      "epoch": 0.3272576636288318,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00019700000000000002,
+      "loss": 6.6465,
+      "mean_token_accuracy": 0.09347675815224647,
+      "num_tokens": 725913.0,
+      "step": 395
+    },
+    {
+      "entropy": 6.944440317153931,
+      "epoch": 0.33140016570008285,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019950000000000002,
+      "loss": 6.7201,
+      "mean_token_accuracy": 0.10362306237220764,
+      "num_tokens": 735020.0,
+      "step": 400
+    },
+    {
+      "entropy": 6.985636854171753,
+      "epoch": 0.3355426677713339,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000202,
+      "loss": 6.6216,
+      "mean_token_accuracy": 0.09469136893749237,
+      "num_tokens": 744299.0,
+      "step": 405
+    },
+    {
+      "entropy": 6.883630275726318,
+      "epoch": 0.3396851698425849,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00020449999999999998,
+      "loss": 6.6099,
+      "mean_token_accuracy": 0.09694516137242318,
+      "num_tokens": 753231.0,
+      "step": 410
+    },
+    {
+      "entropy": 6.825357389450073,
+      "epoch": 0.34382767191383595,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000207,
+      "loss": 6.6717,
+      "mean_token_accuracy": 0.10230854973196983,
+      "num_tokens": 763043.0,
+      "step": 415
+    },
+    {
+      "entropy": 7.016851997375488,
+      "epoch": 0.347970173985087,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0002095,
+      "loss": 6.6905,
+      "mean_token_accuracy": 0.09913048222661018,
+      "num_tokens": 771977.0,
+      "step": 420
+    },
+    {
+      "entropy": 6.820244407653808,
+      "epoch": 0.352112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000212,
+      "loss": 6.6243,
+      "mean_token_accuracy": 0.1011092983186245,
+      "num_tokens": 780285.0,
+      "step": 425
+    },
+    {
+      "entropy": 6.956075525283813,
+      "epoch": 0.35625517812758906,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002145,
+      "loss": 6.6593,
+      "mean_token_accuracy": 0.09649045094847679,
+      "num_tokens": 789980.0,
+      "step": 430
+    },
+    {
+      "entropy": 6.984846019744873,
+      "epoch": 0.3603976801988401,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021700000000000002,
+      "loss": 6.6275,
+      "mean_token_accuracy": 0.10474459528923034,
+      "num_tokens": 798700.0,
+      "step": 435
+    },
+    {
+      "entropy": 6.767291498184204,
+      "epoch": 0.36454018227009116,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002195,
+      "loss": 6.7208,
+      "mean_token_accuracy": 0.09600067660212516,
+      "num_tokens": 808758.0,
+      "step": 440
+    },
+    {
+      "entropy": 7.046369791030884,
+      "epoch": 0.36868268434134216,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000222,
+      "loss": 6.6666,
+      "mean_token_accuracy": 0.10458802133798599,
+      "num_tokens": 817692.0,
+      "step": 445
+    },
+    {
+      "entropy": 6.95425066947937,
+      "epoch": 0.3728251864125932,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002245,
+      "loss": 6.7146,
+      "mean_token_accuracy": 0.10474570766091347,
+      "num_tokens": 827052.0,
+      "step": 450
+    },
+    {
+      "entropy": 6.895345544815063,
+      "epoch": 0.37696768848384427,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00022700000000000002,
+      "loss": 6.7139,
+      "mean_token_accuracy": 0.1091882586479187,
+      "num_tokens": 836442.0,
+      "step": 455
+    },
+    {
+      "entropy": 6.922871923446655,
+      "epoch": 0.38111019055509526,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00022950000000000002,
+      "loss": 6.5775,
+      "mean_token_accuracy": 0.10118989571928978,
+      "num_tokens": 846441.0,
+      "step": 460
+    },
+    {
+      "entropy": 6.8815388679504395,
+      "epoch": 0.3852526926263463,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00023200000000000003,
+      "loss": 6.6215,
+      "mean_token_accuracy": 0.10475475937128068,
+      "num_tokens": 856108.0,
+      "step": 465
+    },
+    {
+      "entropy": 6.848587274551392,
+      "epoch": 0.38939519469759737,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00023449999999999998,
+      "loss": 6.5833,
+      "mean_token_accuracy": 0.10137399956583977,
+      "num_tokens": 865788.0,
+      "step": 470
+    },
+    {
+      "entropy": 6.886804008483887,
+      "epoch": 0.39353769676884837,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000237,
+      "loss": 6.6302,
+      "mean_token_accuracy": 0.09514767676591873,
+      "num_tokens": 874833.0,
+      "step": 475
+    },
+    {
+      "entropy": 6.751422643661499,
+      "epoch": 0.3976801988400994,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002395,
+      "loss": 6.5997,
+      "mean_token_accuracy": 0.10276172533631325,
+      "num_tokens": 883685.0,
+      "step": 480
+    },
+    {
+      "entropy": 6.881311464309692,
+      "epoch": 0.40182270091135047,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000242,
+      "loss": 6.6001,
+      "mean_token_accuracy": 0.09796027019619942,
+      "num_tokens": 893908.0,
+      "step": 485
+    },
+    {
+      "entropy": 6.934821891784668,
+      "epoch": 0.40596520298260147,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002445,
+      "loss": 6.7142,
+      "mean_token_accuracy": 0.09827135354280472,
+      "num_tokens": 903081.0,
+      "step": 490
+    },
+    {
+      "entropy": 6.7868632793426515,
+      "epoch": 0.4101077050538525,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000247,
+      "loss": 6.5522,
+      "mean_token_accuracy": 0.10336750745773315,
+      "num_tokens": 912515.0,
+      "step": 495
+    },
+    {
+      "entropy": 6.886235475540161,
+      "epoch": 0.4142502071251036,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002495,
+      "loss": 6.5797,
+      "mean_token_accuracy": 0.1070313923060894,
+      "num_tokens": 921056.0,
+      "step": 500
+    },
+    {
+      "epoch": 0.4142502071251036,
+      "eval_entropy": 6.836038604728194,
+      "eval_loss": 6.684774875640869,
+      "eval_mean_token_accuracy": 0.10272799217021034,
+      "eval_num_tokens": 921056.0,
+      "eval_runtime": 2.7891,
+      "eval_samples_per_second": 1343.421,
+      "eval_steps_per_second": 168.152,
+      "step": 500
+    },
+    {
+      "entropy": 6.7657403469085695,
+      "epoch": 0.4183927091963546,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000252,
+      "loss": 6.5317,
+      "mean_token_accuracy": 0.10417452603578567,
+      "num_tokens": 931112.0,
+      "step": 505
+    },
+    {
+      "entropy": 6.821895503997803,
+      "epoch": 0.4225352112676056,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0002545,
+      "loss": 6.6605,
+      "mean_token_accuracy": 0.0978618748486042,
+      "num_tokens": 941120.0,
+      "step": 510
+    },
+    {
+      "entropy": 6.886211729049682,
+      "epoch": 0.4266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000257,
+      "loss": 6.6044,
+      "mean_token_accuracy": 0.09737976416945457,
+      "num_tokens": 950041.0,
+      "step": 515
+    },
+    {
+      "entropy": 6.879851579666138,
+      "epoch": 0.43082021541010773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002595,
+      "loss": 6.5907,
+      "mean_token_accuracy": 0.10606569275259972,
+      "num_tokens": 958608.0,
+      "step": 520
+    },
+    {
+      "entropy": 6.886484861373901,
+      "epoch": 0.43496271748135873,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.000262,
+      "loss": 6.7158,
+      "mean_token_accuracy": 0.09990910813212395,
+      "num_tokens": 966901.0,
+      "step": 525
+    },
+    {
+      "entropy": 6.767313003540039,
+      "epoch": 0.4391052195526098,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026450000000000003,
+      "loss": 6.5504,
+      "mean_token_accuracy": 0.10768762230873108,
+      "num_tokens": 976198.0,
+      "step": 530
+    },
+    {
+      "entropy": 6.892781782150268,
+      "epoch": 0.44324772162386084,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026700000000000004,
+      "loss": 6.624,
+      "mean_token_accuracy": 0.09861580505967141,
+      "num_tokens": 985248.0,
+      "step": 535
+    },
+    {
+      "entropy": 6.772344255447388,
+      "epoch": 0.44739022369511183,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00026950000000000005,
+      "loss": 6.5014,
+      "mean_token_accuracy": 0.1071978710591793,
+      "num_tokens": 993289.0,
+      "step": 540
+    },
+    {
+      "entropy": 6.820696449279785,
+      "epoch": 0.4515327257663629,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027200000000000005,
+      "loss": 6.5909,
+      "mean_token_accuracy": 0.10533165782690049,
+      "num_tokens": 1001784.0,
+      "step": 545
+    },
+    {
+      "entropy": 6.935409688949585,
+      "epoch": 0.45567522783761394,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002745,
+      "loss": 6.5627,
+      "mean_token_accuracy": 0.10804210156202317,
+      "num_tokens": 1010445.0,
+      "step": 550
+    },
+    {
+      "entropy": 6.745790100097656,
+      "epoch": 0.45981772990886494,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.000277,
+      "loss": 6.6184,
+      "mean_token_accuracy": 0.10709234476089477,
+      "num_tokens": 1019084.0,
+      "step": 555
+    },
+    {
+      "entropy": 6.7490733623504635,
+      "epoch": 0.463960231980116,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002795,
+      "loss": 6.5249,
+      "mean_token_accuracy": 0.10461713373661041,
+      "num_tokens": 1027263.0,
+      "step": 560
+    },
+    {
+      "entropy": 6.876884937286377,
+      "epoch": 0.46810273405136704,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00028199999999999997,
+      "loss": 6.6233,
+      "mean_token_accuracy": 0.09752989709377288,
+      "num_tokens": 1036275.0,
+      "step": 565
+    },
+    {
+      "entropy": 6.765736055374146,
+      "epoch": 0.47224523612261804,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002845,
+      "loss": 6.7015,
+      "mean_token_accuracy": 0.09858408868312836,
+      "num_tokens": 1045208.0,
+      "step": 570
+    },
+    {
+      "entropy": 6.9024957656860355,
+      "epoch": 0.4763877381938691,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000287,
+      "loss": 6.6287,
+      "mean_token_accuracy": 0.1026283286511898,
+      "num_tokens": 1054703.0,
+      "step": 575
+    },
+    {
+      "entropy": 6.647345924377442,
+      "epoch": 0.48053024026512015,
+      "grad_norm": 1.5,
+      "learning_rate": 0.0002895,
+      "loss": 6.4841,
+      "mean_token_accuracy": 0.10212503597140313,
+      "num_tokens": 1063652.0,
+      "step": 580
+    },
+    {
+      "entropy": 6.717900657653809,
+      "epoch": 0.48467274233637114,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000292,
+      "loss": 6.5873,
+      "mean_token_accuracy": 0.10145951434969902,
+      "num_tokens": 1072070.0,
+      "step": 585
+    },
+    {
+      "entropy": 6.997959756851197,
+      "epoch": 0.4888152444076222,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002945,
+      "loss": 6.6143,
+      "mean_token_accuracy": 0.10064447894692422,
+      "num_tokens": 1079992.0,
+      "step": 590
+    },
+    {
+      "entropy": 6.657160854339599,
+      "epoch": 0.49295774647887325,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000297,
+      "loss": 6.628,
+      "mean_token_accuracy": 0.10435748845338821,
+      "num_tokens": 1088862.0,
+      "step": 595
+    },
+    {
+      "entropy": 6.773271942138672,
+      "epoch": 0.4971002485501243,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002995,
+      "loss": 6.4317,
+      "mean_token_accuracy": 0.10795770138502121,
+      "num_tokens": 1097614.0,
+      "step": 600
+    },
+    {
+      "entropy": 6.7102379322052,
+      "epoch": 0.5012427506213754,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000302,
+      "loss": 6.6288,
+      "mean_token_accuracy": 0.10706980749964715,
+      "num_tokens": 1107347.0,
+      "step": 605
+    },
+    {
+      "entropy": 6.8672473430633545,
+      "epoch": 0.5053852526926264,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003045,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10073774978518486,
+      "num_tokens": 1116707.0,
+      "step": 610
+    },
+    {
+      "entropy": 6.764383840560913,
+      "epoch": 0.5095277547638773,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000307,
+      "loss": 6.6549,
+      "mean_token_accuracy": 0.10234303548932075,
+      "num_tokens": 1126356.0,
+      "step": 615
+    },
+    {
+      "entropy": 6.787193298339844,
+      "epoch": 0.5136702568351285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003095,
+      "loss": 6.5847,
+      "mean_token_accuracy": 0.10079671740531922,
+      "num_tokens": 1136281.0,
+      "step": 620
+    },
+    {
+      "entropy": 6.713733196258545,
+      "epoch": 0.5178127589063795,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000312,
+      "loss": 6.5355,
+      "mean_token_accuracy": 0.10429632142186165,
+      "num_tokens": 1145466.0,
+      "step": 625
+    },
+    {
+      "entropy": 6.7503923892974855,
+      "epoch": 0.5219552609776305,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003145,
+      "loss": 6.5409,
+      "mean_token_accuracy": 0.10918259546160698,
+      "num_tokens": 1154225.0,
+      "step": 630
+    },
+    {
+      "entropy": 6.761834907531738,
+      "epoch": 0.5260977630488816,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.000317,
+      "loss": 6.5885,
+      "mean_token_accuracy": 0.09673135951161385,
+      "num_tokens": 1163872.0,
+      "step": 635
+    },
+    {
+      "entropy": 6.69431324005127,
+      "epoch": 0.5302402651201326,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003195,
+      "loss": 6.5244,
+      "mean_token_accuracy": 0.10705070868134499,
+      "num_tokens": 1172695.0,
+      "step": 640
+    },
+    {
+      "entropy": 6.651590061187744,
+      "epoch": 0.5343827671913836,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000322,
+      "loss": 6.3962,
+      "mean_token_accuracy": 0.11006554961204529,
+      "num_tokens": 1181291.0,
+      "step": 645
+    },
+    {
+      "entropy": 6.782713270187378,
+      "epoch": 0.5385252692626347,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00032450000000000003,
+      "loss": 6.5715,
+      "mean_token_accuracy": 0.10394523739814758,
+      "num_tokens": 1189927.0,
+      "step": 650
+    },
+    {
+      "entropy": 6.705166435241699,
+      "epoch": 0.5426677713338857,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00032700000000000003,
+      "loss": 6.5043,
+      "mean_token_accuracy": 0.10940467119216919,
+      "num_tokens": 1197913.0,
+      "step": 655
+    },
+    {
+      "entropy": 6.670699262619019,
+      "epoch": 0.5468102734051367,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032950000000000004,
+      "loss": 6.4309,
+      "mean_token_accuracy": 0.11147961542010307,
+      "num_tokens": 1207032.0,
+      "step": 660
+    },
+    {
+      "entropy": 6.640204334259034,
+      "epoch": 0.5509527754763878,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00033200000000000005,
+      "loss": 6.5397,
+      "mean_token_accuracy": 0.10571447387337685,
+      "num_tokens": 1215710.0,
+      "step": 665
+    },
+    {
+      "entropy": 6.694819068908691,
+      "epoch": 0.5550952775476388,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033450000000000005,
+      "loss": 6.52,
+      "mean_token_accuracy": 0.10049431845545768,
+      "num_tokens": 1225619.0,
+      "step": 670
+    },
+    {
+      "entropy": 6.649594163894653,
+      "epoch": 0.5592377796188898,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000337,
+      "loss": 6.4407,
+      "mean_token_accuracy": 0.11157044768333435,
+      "num_tokens": 1235000.0,
+      "step": 675
+    },
+    {
+      "entropy": 6.612611961364746,
+      "epoch": 0.5633802816901409,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003395,
+      "loss": 6.4462,
+      "mean_token_accuracy": 0.108580531924963,
+      "num_tokens": 1243594.0,
+      "step": 680
+    },
+    {
+      "entropy": 6.843221950531006,
+      "epoch": 0.5675227837613919,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000342,
+      "loss": 6.6445,
+      "mean_token_accuracy": 0.10460855960845947,
+      "num_tokens": 1252279.0,
+      "step": 685
+    },
+    {
+      "entropy": 6.760235929489136,
+      "epoch": 0.5716652858326429,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034449999999999997,
+      "loss": 6.559,
+      "mean_token_accuracy": 0.10665302500128745,
+      "num_tokens": 1261314.0,
+      "step": 690
+    },
+    {
+      "entropy": 6.55326566696167,
+      "epoch": 0.575807787903894,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000347,
+      "loss": 6.4337,
+      "mean_token_accuracy": 0.11188110187649727,
+      "num_tokens": 1270854.0,
+      "step": 695
+    },
+    {
+      "entropy": 6.618375587463379,
+      "epoch": 0.579950289975145,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003495,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.11392810270190239,
+      "num_tokens": 1279183.0,
+      "step": 700
+    },
+    {
+      "entropy": 6.626208257675171,
+      "epoch": 0.584092792046396,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000352,
+      "loss": 6.5015,
+      "mean_token_accuracy": 0.10761247500777245,
+      "num_tokens": 1288347.0,
+      "step": 705
+    },
+    {
+      "entropy": 6.6855669021606445,
+      "epoch": 0.5882352941176471,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003545,
+      "loss": 6.5036,
+      "mean_token_accuracy": 0.10823310390114785,
+      "num_tokens": 1297449.0,
+      "step": 710
+    },
+    {
+      "entropy": 6.710147094726563,
+      "epoch": 0.5923777961888981,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000357,
+      "loss": 6.4688,
+      "mean_token_accuracy": 0.10904998034238815,
+      "num_tokens": 1306232.0,
+      "step": 715
+    },
+    {
+      "entropy": 6.6553794860839846,
+      "epoch": 0.5965202982601492,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003595,
+      "loss": 6.4857,
+      "mean_token_accuracy": 0.11109372302889824,
+      "num_tokens": 1315073.0,
+      "step": 720
+    },
+    {
+      "entropy": 6.674065732955933,
+      "epoch": 0.6006628003314002,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000362,
+      "loss": 6.5301,
+      "mean_token_accuracy": 0.10648825243115426,
+      "num_tokens": 1324629.0,
+      "step": 725
+    },
+    {
+      "entropy": 6.700368881225586,
+      "epoch": 0.6048053024026512,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0003645,
+      "loss": 6.6444,
+      "mean_token_accuracy": 0.10443340390920638,
+      "num_tokens": 1334152.0,
+      "step": 730
+    },
+    {
+      "entropy": 6.779498624801636,
+      "epoch": 0.6089478044739023,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000367,
+      "loss": 6.5946,
+      "mean_token_accuracy": 0.10130336955189705,
+      "num_tokens": 1343063.0,
+      "step": 735
+    },
+    {
+      "entropy": 6.684298419952393,
+      "epoch": 0.6130903065451533,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0003695,
+      "loss": 6.5241,
+      "mean_token_accuracy": 0.10516620799899101,
+      "num_tokens": 1352632.0,
+      "step": 740
+    },
+    {
+      "entropy": 6.582866573333741,
+      "epoch": 0.6172328086164043,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000372,
+      "loss": 6.4712,
+      "mean_token_accuracy": 0.10765027329325676,
+      "num_tokens": 1361103.0,
+      "step": 745
+    },
+    {
+      "entropy": 6.643687963485718,
+      "epoch": 0.6213753106876554,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003745,
+      "loss": 6.4642,
+      "mean_token_accuracy": 0.10832677409052849,
+      "num_tokens": 1370658.0,
+      "step": 750
+    },
+    {
+      "entropy": 6.64506516456604,
+      "epoch": 0.6255178127589064,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000377,
+      "loss": 6.4878,
+      "mean_token_accuracy": 0.10808288529515267,
+      "num_tokens": 1379817.0,
+      "step": 755
+    },
+    {
+      "entropy": 6.640752458572388,
+      "epoch": 0.6296603148301574,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003795,
+      "loss": 6.4418,
+      "mean_token_accuracy": 0.10874675288796425,
+      "num_tokens": 1389329.0,
+      "step": 760
+    },
+    {
+      "entropy": 6.4627049446105955,
+      "epoch": 0.6338028169014085,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000382,
+      "loss": 6.4902,
+      "mean_token_accuracy": 0.10606684386730195,
+      "num_tokens": 1399279.0,
+      "step": 765
+    },
+    {
+      "entropy": 6.621781063079834,
+      "epoch": 0.6379453189726595,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003845,
+      "loss": 6.4146,
+      "mean_token_accuracy": 0.11267002299427986,
+      "num_tokens": 1408765.0,
+      "step": 770
+    },
+    {
+      "entropy": 6.736465692520142,
+      "epoch": 0.6420878210439105,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038700000000000003,
+      "loss": 6.5632,
+      "mean_token_accuracy": 0.10607504546642303,
+      "num_tokens": 1418615.0,
+      "step": 775
+    },
+    {
+      "entropy": 6.616378879547119,
+      "epoch": 0.6462303231151616,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00038950000000000003,
+      "loss": 6.4664,
+      "mean_token_accuracy": 0.10207068845629692,
+      "num_tokens": 1427359.0,
+      "step": 780
+    },
+    {
+      "entropy": 6.70065336227417,
+      "epoch": 0.6503728251864126,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00039200000000000004,
+      "loss": 6.622,
+      "mean_token_accuracy": 0.1116428442299366,
+      "num_tokens": 1435516.0,
+      "step": 785
+    },
+    {
+      "entropy": 6.709064102172851,
+      "epoch": 0.6545153272576636,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00039450000000000005,
+      "loss": 6.5704,
+      "mean_token_accuracy": 0.10583743155002594,
+      "num_tokens": 1444438.0,
+      "step": 790
+    },
+    {
+      "entropy": 6.671351766586303,
+      "epoch": 0.6586578293289147,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00039700000000000005,
+      "loss": 6.4996,
+      "mean_token_accuracy": 0.11326526403427124,
+      "num_tokens": 1453740.0,
+      "step": 795
+    },
+    {
+      "entropy": 6.614573907852173,
+      "epoch": 0.6628003314001657,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003995,
+      "loss": 6.4874,
+      "mean_token_accuracy": 0.11111863479018211,
+      "num_tokens": 1462083.0,
+      "step": 800
+    },
+    {
+      "entropy": 6.484545516967773,
+      "epoch": 0.6669428334714167,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000402,
+      "loss": 6.4127,
+      "mean_token_accuracy": 0.1100592203438282,
+      "num_tokens": 1471459.0,
+      "step": 805
+    },
+    {
+      "entropy": 6.621589279174804,
+      "epoch": 0.6710853355426678,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004045,
+      "loss": 6.3972,
+      "mean_token_accuracy": 0.11681128293275833,
+      "num_tokens": 1480516.0,
+      "step": 810
+    },
+    {
+      "entropy": 6.421737241744995,
+      "epoch": 0.6752278376139188,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00040699999999999997,
+      "loss": 6.3,
+      "mean_token_accuracy": 0.11318568140268326,
+      "num_tokens": 1489268.0,
+      "step": 815
+    },
+    {
+      "entropy": 6.700246906280517,
+      "epoch": 0.6793703396851698,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004095,
+      "loss": 6.5174,
+      "mean_token_accuracy": 0.11110908538103104,
+      "num_tokens": 1498819.0,
+      "step": 820
+    },
+    {
+      "entropy": 6.622490644454956,
+      "epoch": 0.6835128417564209,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000412,
+      "loss": 6.501,
+      "mean_token_accuracy": 0.11033953949809075,
+      "num_tokens": 1507852.0,
+      "step": 825
+    },
+    {
+      "entropy": 6.59730544090271,
+      "epoch": 0.6876553438276719,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004145,
+      "loss": 6.5302,
+      "mean_token_accuracy": 0.11122860461473465,
+      "num_tokens": 1517538.0,
+      "step": 830
+    },
+    {
+      "entropy": 6.458763217926025,
+      "epoch": 0.6917978458989229,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000417,
+      "loss": 6.4061,
+      "mean_token_accuracy": 0.11324542313814163,
+      "num_tokens": 1525389.0,
+      "step": 835
+    },
+    {
+      "entropy": 6.57511887550354,
+      "epoch": 0.695940347970174,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004195,
+      "loss": 6.3741,
+      "mean_token_accuracy": 0.11116622686386109,
+      "num_tokens": 1534117.0,
+      "step": 840
+    },
+    {
+      "entropy": 6.522304344177246,
+      "epoch": 0.700082850041425,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000422,
+      "loss": 6.4029,
+      "mean_token_accuracy": 0.11315450444817543,
+      "num_tokens": 1542610.0,
+      "step": 845
+    },
+    {
+      "entropy": 6.5175107479095455,
+      "epoch": 0.704225352112676,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004245,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.1143906556069851,
+      "num_tokens": 1551771.0,
+      "step": 850
+    },
+    {
+      "entropy": 6.620167636871338,
+      "epoch": 0.7083678541839271,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.000427,
+      "loss": 6.5779,
+      "mean_token_accuracy": 0.10512799099087715,
+      "num_tokens": 1560231.0,
+      "step": 855
+    },
+    {
+      "entropy": 6.589151382446289,
+      "epoch": 0.7125103562551781,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004295,
+      "loss": 6.5346,
+      "mean_token_accuracy": 0.10532297939062119,
+      "num_tokens": 1569578.0,
+      "step": 860
+    },
+    {
+      "entropy": 6.563750839233398,
+      "epoch": 0.7166528583264291,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000432,
+      "loss": 6.4187,
+      "mean_token_accuracy": 0.11381370946764946,
+      "num_tokens": 1579308.0,
+      "step": 865
+    },
+    {
+      "entropy": 6.597287034988403,
+      "epoch": 0.7207953603976802,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004345,
+      "loss": 6.6081,
+      "mean_token_accuracy": 0.10267190784215927,
+      "num_tokens": 1589506.0,
+      "step": 870
+    },
+    {
+      "entropy": 6.482245397567749,
+      "epoch": 0.7249378624689312,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000437,
+      "loss": 6.3671,
+      "mean_token_accuracy": 0.11368186473846435,
+      "num_tokens": 1598127.0,
+      "step": 875
+    },
+    {
+      "entropy": 6.548954200744629,
+      "epoch": 0.7290803645401823,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004395,
+      "loss": 6.4125,
+      "mean_token_accuracy": 0.11406067088246345,
+      "num_tokens": 1608073.0,
+      "step": 880
+    },
+    {
+      "entropy": 6.551317119598389,
+      "epoch": 0.7332228666114333,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000442,
+      "loss": 6.4304,
+      "mean_token_accuracy": 0.11178040653467178,
+      "num_tokens": 1616272.0,
+      "step": 885
+    },
+    {
+      "entropy": 6.496135663986206,
+      "epoch": 0.7373653686826843,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004445,
+      "loss": 6.447,
+      "mean_token_accuracy": 0.10845504105091094,
+      "num_tokens": 1625577.0,
+      "step": 890
+    },
+    {
+      "entropy": 6.685812950134277,
+      "epoch": 0.7415078707539354,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000447,
+      "loss": 6.533,
+      "mean_token_accuracy": 0.10158233270049095,
+      "num_tokens": 1634902.0,
+      "step": 895
+    },
+    {
+      "entropy": 6.520436191558838,
+      "epoch": 0.7456503728251864,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00044950000000000003,
+      "loss": 6.4674,
+      "mean_token_accuracy": 0.10865833014249801,
+      "num_tokens": 1644131.0,
+      "step": 900
+    },
+    {
+      "entropy": 6.461379718780518,
+      "epoch": 0.7497928748964374,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00045200000000000004,
+      "loss": 6.3694,
+      "mean_token_accuracy": 0.12158194407820702,
+      "num_tokens": 1652272.0,
+      "step": 905
+    },
+    {
+      "entropy": 6.533070278167725,
+      "epoch": 0.7539353769676885,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00045450000000000004,
+      "loss": 6.4632,
+      "mean_token_accuracy": 0.11447574123740197,
+      "num_tokens": 1660962.0,
+      "step": 910
+    },
+    {
+      "entropy": 6.475569725036621,
+      "epoch": 0.7580778790389395,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045700000000000005,
+      "loss": 6.4006,
+      "mean_token_accuracy": 0.11205699220299721,
+      "num_tokens": 1670570.0,
+      "step": 915
+    },
+    {
+      "entropy": 6.526782608032226,
+      "epoch": 0.7622203811101905,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00045950000000000006,
+      "loss": 6.4497,
+      "mean_token_accuracy": 0.1096197433769703,
+      "num_tokens": 1679674.0,
+      "step": 920
+    },
+    {
+      "entropy": 6.530770015716553,
+      "epoch": 0.7663628831814416,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000462,
+      "loss": 6.4324,
+      "mean_token_accuracy": 0.11466658413410187,
+      "num_tokens": 1688849.0,
+      "step": 925
+    },
+    {
+      "entropy": 6.4163538932800295,
+      "epoch": 0.7705053852526926,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004645,
+      "loss": 6.3128,
+      "mean_token_accuracy": 0.1098814107477665,
+      "num_tokens": 1698565.0,
+      "step": 930
+    },
+    {
+      "entropy": 6.5036052703857425,
+      "epoch": 0.7746478873239436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000467,
+      "loss": 6.3986,
+      "mean_token_accuracy": 0.11683695837855339,
+      "num_tokens": 1708009.0,
+      "step": 935
+    },
+    {
+      "entropy": 6.518198871612549,
+      "epoch": 0.7787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004695,
+      "loss": 6.3878,
+      "mean_token_accuracy": 0.1126109592616558,
+      "num_tokens": 1716497.0,
+      "step": 940
+    },
+    {
+      "entropy": 6.415347719192505,
+      "epoch": 0.7829328914664457,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000472,
+      "loss": 6.4082,
+      "mean_token_accuracy": 0.12070046439766884,
+      "num_tokens": 1725609.0,
+      "step": 945
+    },
+    {
+      "entropy": 6.477306175231933,
+      "epoch": 0.7870753935376967,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004745,
+      "loss": 6.3456,
+      "mean_token_accuracy": 0.11454906165599824,
+      "num_tokens": 1734165.0,
+      "step": 950
+    },
+    {
+      "entropy": 6.454520893096924,
+      "epoch": 0.7912178956089478,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.000477,
+      "loss": 6.4546,
+      "mean_token_accuracy": 0.10918105840682983,
+      "num_tokens": 1744856.0,
+      "step": 955
+    },
+    {
+      "entropy": 6.4711943626403805,
+      "epoch": 0.7953603976801988,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004795,
+      "loss": 6.4509,
+      "mean_token_accuracy": 0.10578904524445534,
+      "num_tokens": 1753386.0,
+      "step": 960
+    },
+    {
+      "entropy": 6.4536961078643795,
+      "epoch": 0.7995028997514498,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000482,
+      "loss": 6.3053,
+      "mean_token_accuracy": 0.11872726455330848,
+      "num_tokens": 1762521.0,
+      "step": 965
+    },
+    {
+      "entropy": 6.34936490058899,
+      "epoch": 0.8036454018227009,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004845,
+      "loss": 6.3765,
+      "mean_token_accuracy": 0.11444728896021843,
+      "num_tokens": 1772403.0,
+      "step": 970
+    },
+    {
+      "entropy": 6.375087881088257,
+      "epoch": 0.8077879038939519,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.000487,
+      "loss": 6.2884,
+      "mean_token_accuracy": 0.11179185584187508,
+      "num_tokens": 1780924.0,
+      "step": 975
+    },
+    {
+      "entropy": 6.547906732559204,
+      "epoch": 0.8119304059652029,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004895,
+      "loss": 6.4367,
+      "mean_token_accuracy": 0.11225800514221192,
+      "num_tokens": 1789992.0,
+      "step": 980
+    },
+    {
+      "entropy": 6.421040678024292,
+      "epoch": 0.816072908036454,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000492,
+      "loss": 6.3919,
+      "mean_token_accuracy": 0.11761699616909027,
+      "num_tokens": 1799513.0,
+      "step": 985
+    },
+    {
+      "entropy": 6.332476711273193,
+      "epoch": 0.820215410107705,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0004945,
+      "loss": 6.2287,
+      "mean_token_accuracy": 0.11279567033052444,
+      "num_tokens": 1807393.0,
+      "step": 990
+    },
+    {
+      "entropy": 6.438618326187134,
+      "epoch": 0.824357912178956,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000497,
+      "loss": 6.5079,
+      "mean_token_accuracy": 0.10579989776015282,
+      "num_tokens": 1817284.0,
+      "step": 995
+    },
+    {
+      "entropy": 6.449818515777588,
+      "epoch": 0.8285004142502072,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004995,
+      "loss": 6.2996,
+      "mean_token_accuracy": 0.11799877136945724,
+      "num_tokens": 1825591.0,
+      "step": 1000
+    },
+    {
+      "epoch": 0.8285004142502072,
+      "eval_entropy": 6.222835092402216,
+      "eval_loss": 6.475013256072998,
+      "eval_mean_token_accuracy": 0.11269166863866961,
+      "eval_num_tokens": 1825591.0,
+      "eval_runtime": 2.7611,
+      "eval_samples_per_second": 1357.068,
+      "eval_steps_per_second": 169.86,
+      "step": 1000
+    },
+    {
+      "entropy": 6.457831478118896,
+      "epoch": 0.8326429163214581,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0004999998547681232,
+      "loss": 6.3959,
+      "mean_token_accuracy": 0.11798396334052086,
+      "num_tokens": 1834655.0,
+      "step": 1005
+    },
+    {
+      "entropy": 6.26599349975586,
+      "epoch": 0.8367854183927091,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004999992647639447,
+      "loss": 6.2578,
+      "mean_token_accuracy": 0.11858200430870056,
+      "num_tokens": 1844187.0,
+      "step": 1010
+    },
+    {
+      "entropy": 6.415271520614624,
+      "epoch": 0.8409279204639603,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999982209116618,
+      "loss": 6.3345,
+      "mean_token_accuracy": 0.11406200677156449,
+      "num_tokens": 1852768.0,
+      "step": 1015
+    },
+    {
+      "entropy": 6.355557584762574,
+      "epoch": 0.8450704225352113,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004999967232133796,
+      "loss": 6.3913,
+      "mean_token_accuracy": 0.12348653748631477,
+      "num_tokens": 1862095.0,
+      "step": 1020
+    },
+    {
+      "entropy": 6.427043008804321,
+      "epoch": 0.8492129246064622,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004999947716721196,
+      "loss": 6.4206,
+      "mean_token_accuracy": 0.10961534604430198,
+      "num_tokens": 1871239.0,
+      "step": 1025
+    },
+    {
+      "entropy": 6.509608554840088,
+      "epoch": 0.8533554266777134,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004999923662918179,
+      "loss": 6.4323,
+      "mean_token_accuracy": 0.11334251016378402,
+      "num_tokens": 1880065.0,
+      "step": 1030
+    },
+    {
+      "entropy": 6.417975521087646,
+      "epoch": 0.8574979287489644,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999895070773266,
+      "loss": 6.4608,
+      "mean_token_accuracy": 0.10985229611396789,
+      "num_tokens": 1889065.0,
+      "step": 1035
+    },
+    {
+      "entropy": 6.429206514358521,
+      "epoch": 0.8616404308202155,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999861940344129,
+      "loss": 6.4721,
+      "mean_token_accuracy": 0.11190373301506043,
+      "num_tokens": 1898238.0,
+      "step": 1040
+    },
+    {
+      "entropy": 6.462369585037232,
+      "epoch": 0.8657829328914665,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004999824271697597,
+      "loss": 6.3929,
+      "mean_token_accuracy": 0.12136606723070145,
+      "num_tokens": 1906780.0,
+      "step": 1045
+    },
+    {
+      "entropy": 6.506088638305664,
+      "epoch": 0.8699254349627175,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.000499978206490965,
+      "loss": 6.4745,
+      "mean_token_accuracy": 0.11197563111782075,
+      "num_tokens": 1916183.0,
+      "step": 1050
+    },
+    {
+      "entropy": 6.427097368240356,
+      "epoch": 0.8740679370339686,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999735320065427,
+      "loss": 6.3371,
+      "mean_token_accuracy": 0.11927392706274986,
+      "num_tokens": 1925382.0,
+      "step": 1055
+    },
+    {
+      "entropy": 6.292429256439209,
+      "epoch": 0.8782104391052196,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004999684037259216,
+      "loss": 6.1827,
+      "mean_token_accuracy": 0.1270924136042595,
+      "num_tokens": 1933639.0,
+      "step": 1060
+    },
+    {
+      "entropy": 6.3600146770477295,
+      "epoch": 0.8823529411764706,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999628216594456,
+      "loss": 6.464,
+      "mean_token_accuracy": 0.11409285366535186,
+      "num_tokens": 1943044.0,
+      "step": 1065
+    },
+    {
+      "entropy": 6.460871028900146,
+      "epoch": 0.8864954432477217,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.000499956785818375,
+      "loss": 6.303,
+      "mean_token_accuracy": 0.11871922463178634,
+      "num_tokens": 1951777.0,
+      "step": 1070
+    },
+    {
+      "entropy": 6.376981210708618,
+      "epoch": 0.8906379453189727,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004999502962148843,
+      "loss": 6.3666,
+      "mean_token_accuracy": 0.1170460693538189,
+      "num_tokens": 1961356.0,
+      "step": 1075
+    },
+    {
+      "entropy": 6.439280414581299,
+      "epoch": 0.8947804473902237,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.000499943352862064,
+      "loss": 6.4248,
+      "mean_token_accuracy": 0.11459407210350037,
+      "num_tokens": 1970341.0,
+      "step": 1080
+    },
+    {
+      "entropy": 6.394289827346801,
+      "epoch": 0.8989229494614748,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004999359557739194,
+      "loss": 6.2796,
+      "mean_token_accuracy": 0.12198276743292809,
+      "num_tokens": 1978576.0,
+      "step": 1085
+    },
+    {
+      "entropy": 6.319045782089233,
+      "epoch": 0.9030654515327258,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004999281049653713,
+      "loss": 6.3227,
+      "mean_token_accuracy": 0.11601013913750649,
+      "num_tokens": 1987229.0,
+      "step": 1090
+    },
+    {
+      "entropy": 6.376017141342163,
+      "epoch": 0.9072079536039768,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004999198004522557,
+      "loss": 6.261,
+      "mean_token_accuracy": 0.12269015237689018,
+      "num_tokens": 1996473.0,
+      "step": 1095
+    },
+    {
+      "entropy": 6.2405853271484375,
+      "epoch": 0.9113504556752279,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004999110422513237,
+      "loss": 6.286,
+      "mean_token_accuracy": 0.12056776732206345,
+      "num_tokens": 2005551.0,
+      "step": 1100
+    },
+    {
+      "entropy": 6.398191165924072,
+      "epoch": 0.9154929577464789,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004999018303802414,
+      "loss": 6.3869,
+      "mean_token_accuracy": 0.11947718560695648,
+      "num_tokens": 2015012.0,
+      "step": 1105
+    },
+    {
+      "entropy": 6.374700450897217,
+      "epoch": 0.9196354598177299,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004998921648575904,
+      "loss": 6.3999,
+      "mean_token_accuracy": 0.1203969657421112,
+      "num_tokens": 2024435.0,
+      "step": 1110
+    },
+    {
+      "entropy": 6.380674362182617,
+      "epoch": 0.923777961888981,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004998820457028669,
+      "loss": 6.3005,
+      "mean_token_accuracy": 0.12089794874191284,
+      "num_tokens": 2033991.0,
+      "step": 1115
+    },
+    {
+      "entropy": 6.409522771835327,
+      "epoch": 0.927920463960232,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998714729364824,
+      "loss": 6.3017,
+      "mean_token_accuracy": 0.1228084571659565,
+      "num_tokens": 2043117.0,
+      "step": 1120
+    },
+    {
+      "entropy": 6.326260423660278,
+      "epoch": 0.932062966031483,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004998604465797634,
+      "loss": 6.3305,
+      "mean_token_accuracy": 0.11992078274488449,
+      "num_tokens": 2052304.0,
+      "step": 1125
+    },
+    {
+      "entropy": 6.251798295974732,
+      "epoch": 0.9362054681027341,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004998489666549512,
+      "loss": 6.2779,
+      "mean_token_accuracy": 0.12114684730768203,
+      "num_tokens": 2061217.0,
+      "step": 1130
+    },
+    {
+      "entropy": 6.319644594192505,
+      "epoch": 0.9403479701739851,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.0004998370331852021,
+      "loss": 6.2517,
+      "mean_token_accuracy": 0.11879112273454666,
+      "num_tokens": 2070796.0,
+      "step": 1135
+    },
+    {
+      "entropy": 6.465651321411133,
+      "epoch": 0.9444904722452361,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004998246461945872,
+      "loss": 6.4037,
+      "mean_token_accuracy": 0.12191760018467904,
+      "num_tokens": 2080202.0,
+      "step": 1140
+    },
+    {
+      "entropy": 6.320812797546386,
+      "epoch": 0.9486329743164872,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004998118057080923,
+      "loss": 6.3045,
+      "mean_token_accuracy": 0.11891168132424354,
+      "num_tokens": 2089788.0,
+      "step": 1145
+    },
+    {
+      "entropy": 6.301202344894409,
+      "epoch": 0.9527754763877382,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004997985117516183,
+      "loss": 6.3462,
+      "mean_token_accuracy": 0.11142431199550629,
+      "num_tokens": 2098727.0,
+      "step": 1150
+    },
+    {
+      "entropy": 6.344118309020996,
+      "epoch": 0.9569179784589892,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997847643519803,
+      "loss": 6.226,
+      "mean_token_accuracy": 0.11924557387828827,
+      "num_tokens": 2107645.0,
+      "step": 1155
+    },
+    {
+      "entropy": 6.1790977954864506,
+      "epoch": 0.9610604805302403,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004997705635369085,
+      "loss": 6.1991,
+      "mean_token_accuracy": 0.11988648250699044,
+      "num_tokens": 2116613.0,
+      "step": 1160
+    },
+    {
+      "entropy": 6.284418439865112,
+      "epoch": 0.9652029826014913,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004997559093350474,
+      "loss": 6.1881,
+      "mean_token_accuracy": 0.12116428092122078,
+      "num_tokens": 2125585.0,
+      "step": 1165
+    },
+    {
+      "entropy": 6.396596622467041,
+      "epoch": 0.9693454846727423,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004997408017759562,
+      "loss": 6.3359,
+      "mean_token_accuracy": 0.11936862170696258,
+      "num_tokens": 2134795.0,
+      "step": 1170
+    },
+    {
+      "entropy": 6.273751878738404,
+      "epoch": 0.9734879867439934,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004997252408901084,
+      "loss": 6.3271,
+      "mean_token_accuracy": 0.11899949684739113,
+      "num_tokens": 2143699.0,
+      "step": 1175
+    },
+    {
+      "entropy": 6.386678028106689,
+      "epoch": 0.9776304888152444,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004997092267088922,
+      "loss": 6.2707,
+      "mean_token_accuracy": 0.11861606612801552,
+      "num_tokens": 2152187.0,
+      "step": 1180
+    },
+    {
+      "entropy": 6.275117111206055,
+      "epoch": 0.9817729908864954,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004996927592646097,
+      "loss": 6.3412,
+      "mean_token_accuracy": 0.11767763197422028,
+      "num_tokens": 2160941.0,
+      "step": 1185
+    },
+    {
+      "entropy": 6.339710283279419,
+      "epoch": 0.9859154929577465,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004996758385904776,
+      "loss": 6.3119,
+      "mean_token_accuracy": 0.11789651140570641,
+      "num_tokens": 2168946.0,
+      "step": 1190
+    },
+    {
+      "entropy": 6.181374216079712,
+      "epoch": 0.9900579950289975,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004996584647206269,
+      "loss": 6.2237,
+      "mean_token_accuracy": 0.12055367529392243,
+      "num_tokens": 2177662.0,
+      "step": 1195
+    },
+    {
+      "entropy": 6.316773986816406,
+      "epoch": 0.9942004971002486,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004996406376901026,
+      "loss": 6.3268,
+      "mean_token_accuracy": 0.12757316455245019,
+      "num_tokens": 2187461.0,
+      "step": 1200
+    },
+    {
+      "entropy": 6.283385133743286,
+      "epoch": 0.9983429991714996,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004996223575348635,
+      "loss": 6.2207,
+      "mean_token_accuracy": 0.12578138560056687,
+      "num_tokens": 2196878.0,
+      "step": 1205
+    },
+    {
+      "entropy": 6.311019659042358,
+      "epoch": 1.0024855012427507,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004996036242917828,
+      "loss": 6.2021,
+      "mean_token_accuracy": 0.1151522897183895,
+      "num_tokens": 2206178.0,
+      "step": 1210
+    },
+    {
+      "entropy": 6.25421667098999,
+      "epoch": 1.0066280033140016,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004995844379986476,
+      "loss": 6.0526,
+      "mean_token_accuracy": 0.12476176023483276,
+      "num_tokens": 2215330.0,
+      "step": 1215
+    },
+    {
+      "entropy": 6.309921216964722,
+      "epoch": 1.0107705053852527,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004995647986941587,
+      "loss": 6.0354,
+      "mean_token_accuracy": 0.13005029112100602,
+      "num_tokens": 2224146.0,
+      "step": 1220
+    },
+    {
+      "entropy": 6.241363286972046,
+      "epoch": 1.0149130074565038,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004995447064179308,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13421598002314566,
+      "num_tokens": 2233646.0,
+      "step": 1225
+    },
+    {
+      "entropy": 6.058859920501709,
+      "epoch": 1.0190555095277547,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.000499524161210492,
+      "loss": 5.9379,
+      "mean_token_accuracy": 0.12560308948159218,
+      "num_tokens": 2243663.0,
+      "step": 1230
+    },
+    {
+      "entropy": 6.270004224777222,
+      "epoch": 1.0231980115990058,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004995031631132844,
+      "loss": 6.1035,
+      "mean_token_accuracy": 0.13170127123594283,
+      "num_tokens": 2252564.0,
+      "step": 1235
+    },
+    {
+      "entropy": 6.2710247993469235,
+      "epoch": 1.027340513670257,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004994817121686633,
+      "loss": 6.099,
+      "mean_token_accuracy": 0.12465815395116805,
+      "num_tokens": 2262504.0,
+      "step": 1240
+    },
+    {
+      "entropy": 6.193396997451782,
+      "epoch": 1.0314830157415078,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004994598084198979,
+      "loss": 5.9843,
+      "mean_token_accuracy": 0.1374910719692707,
+      "num_tokens": 2270553.0,
+      "step": 1245
+    },
+    {
+      "entropy": 6.136552810668945,
+      "epoch": 1.035625517812759,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004994374519111701,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.1272726461291313,
+      "num_tokens": 2279319.0,
+      "step": 1250
+    },
+    {
+      "entropy": 6.217378282546997,
+      "epoch": 1.03976801988401,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004994146426875757,
+      "loss": 6.123,
+      "mean_token_accuracy": 0.126935476064682,
+      "num_tokens": 2288749.0,
+      "step": 1255
+    },
+    {
+      "entropy": 6.218695068359375,
+      "epoch": 1.043910521955261,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004993913807951232,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.12562426924705505,
+      "num_tokens": 2298272.0,
+      "step": 1260
+    },
+    {
+      "entropy": 6.221994352340698,
+      "epoch": 1.048053024026512,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004993676662807345,
+      "loss": 6.047,
+      "mean_token_accuracy": 0.12884460240602494,
+      "num_tokens": 2307230.0,
+      "step": 1265
+    },
+    {
+      "entropy": 6.183428144454956,
+      "epoch": 1.0521955260977631,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004993434991922443,
+      "loss": 6.1317,
+      "mean_token_accuracy": 0.12460145726799965,
+      "num_tokens": 2316306.0,
+      "step": 1270
+    },
+    {
+      "entropy": 6.22090425491333,
+      "epoch": 1.056338028169014,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004993188795784002,
+      "loss": 6.0531,
+      "mean_token_accuracy": 0.1241947129368782,
+      "num_tokens": 2325672.0,
+      "step": 1275
+    },
+    {
+      "entropy": 6.1453857421875,
+      "epoch": 1.0604805302402651,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004992938074888628,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.1274007849395275,
+      "num_tokens": 2335251.0,
+      "step": 1280
+    },
+    {
+      "entropy": 6.180039167404175,
+      "epoch": 1.0646230323115162,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004992682829742052,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.1308726042509079,
+      "num_tokens": 2344054.0,
+      "step": 1285
+    },
+    {
+      "entropy": 6.086296463012696,
+      "epoch": 1.0687655343827671,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004992423060859132,
+      "loss": 6.0236,
+      "mean_token_accuracy": 0.127706591039896,
+      "num_tokens": 2353493.0,
+      "step": 1290
+    },
+    {
+      "entropy": 6.223158740997315,
+      "epoch": 1.0729080364540182,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004992158768763849,
+      "loss": 6.1321,
+      "mean_token_accuracy": 0.12850543335080147,
+      "num_tokens": 2362687.0,
+      "step": 1295
+    },
+    {
+      "entropy": 6.2506636619567875,
+      "epoch": 1.0770505385252693,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004991889953989308,
+      "loss": 6.0965,
+      "mean_token_accuracy": 0.12563316524028778,
+      "num_tokens": 2372325.0,
+      "step": 1300
+    },
+    {
+      "entropy": 6.173602199554443,
+      "epoch": 1.0811930405965202,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004991616617077741,
+      "loss": 6.12,
+      "mean_token_accuracy": 0.1287991665303707,
+      "num_tokens": 2381987.0,
+      "step": 1305
+    },
+    {
+      "entropy": 6.307486963272095,
+      "epoch": 1.0853355426677713,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004991338758580496,
+      "loss": 6.0234,
+      "mean_token_accuracy": 0.13178783878684044,
+      "num_tokens": 2390901.0,
+      "step": 1310
+    },
+    {
+      "entropy": 6.034789133071899,
+      "epoch": 1.0894780447390224,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004991056379058045,
+      "loss": 6.0813,
+      "mean_token_accuracy": 0.12450421676039695,
+      "num_tokens": 2400756.0,
+      "step": 1315
+    },
+    {
+      "entropy": 6.188017988204956,
+      "epoch": 1.0936205468102733,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004990769479079976,
+      "loss": 5.9232,
+      "mean_token_accuracy": 0.12984196096658707,
+      "num_tokens": 2409526.0,
+      "step": 1320
+    },
+    {
+      "entropy": 6.086554956436157,
+      "epoch": 1.0977630488815244,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004990478059225003,
+      "loss": 6.0931,
+      "mean_token_accuracy": 0.12972966134548186,
+      "num_tokens": 2419583.0,
+      "step": 1325
+    },
+    {
+      "entropy": 6.2457873821258545,
+      "epoch": 1.1019055509527755,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004990182120080945,
+      "loss": 6.0338,
+      "mean_token_accuracy": 0.12990806251764297,
+      "num_tokens": 2429439.0,
+      "step": 1330
+    },
+    {
+      "entropy": 6.078778219223023,
+      "epoch": 1.1060480530240264,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004989881662244748,
+      "loss": 6.0416,
+      "mean_token_accuracy": 0.12380676046013832,
+      "num_tokens": 2438467.0,
+      "step": 1335
+    },
+    {
+      "entropy": 6.138932418823242,
+      "epoch": 1.1101905550952775,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004989576686322468,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.1332716926932335,
+      "num_tokens": 2446619.0,
+      "step": 1340
+    },
+    {
+      "entropy": 6.1281578540802,
+      "epoch": 1.1143330571665286,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004989267192929272,
+      "loss": 6.0379,
+      "mean_token_accuracy": 0.12955363765358924,
+      "num_tokens": 2454998.0,
+      "step": 1345
+    },
+    {
+      "entropy": 6.09554443359375,
+      "epoch": 1.1184755592377795,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004988953182689445,
+      "loss": 6.0072,
+      "mean_token_accuracy": 0.13532012328505516,
+      "num_tokens": 2463497.0,
+      "step": 1350
+    },
+    {
+      "entropy": 6.134703922271728,
+      "epoch": 1.1226180613090306,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004988634656236378,
+      "loss": 5.9216,
+      "mean_token_accuracy": 0.13609320148825646,
+      "num_tokens": 2471763.0,
+      "step": 1355
+    },
+    {
+      "entropy": 6.145527791976929,
+      "epoch": 1.1267605633802817,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004988311614212576,
+      "loss": 6.0016,
+      "mean_token_accuracy": 0.1402701161801815,
+      "num_tokens": 2479949.0,
+      "step": 1360
+    },
+    {
+      "entropy": 6.116470623016357,
+      "epoch": 1.1309030654515326,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004987984057269648,
+      "loss": 6.0539,
+      "mean_token_accuracy": 0.13444141745567323,
+      "num_tokens": 2489097.0,
+      "step": 1365
+    },
+    {
+      "entropy": 5.972180604934692,
+      "epoch": 1.1350455675227837,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004987651986068311,
+      "loss": 5.8781,
+      "mean_token_accuracy": 0.13601028621196748,
+      "num_tokens": 2497625.0,
+      "step": 1370
+    },
+    {
+      "entropy": 6.143597984313965,
+      "epoch": 1.1391880695940348,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004987315401278394,
+      "loss": 6.1252,
+      "mean_token_accuracy": 0.1272761717438698,
+      "num_tokens": 2507107.0,
+      "step": 1375
+    },
+    {
+      "entropy": 6.286170959472656,
+      "epoch": 1.143330571665286,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004986974303578819,
+      "loss": 6.1408,
+      "mean_token_accuracy": 0.12348597794771195,
+      "num_tokens": 2516629.0,
+      "step": 1380
+    },
+    {
+      "entropy": 6.077923250198364,
+      "epoch": 1.1474730737365368,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004986628693657621,
+      "loss": 6.021,
+      "mean_token_accuracy": 0.1280151717364788,
+      "num_tokens": 2525924.0,
+      "step": 1385
+    },
+    {
+      "entropy": 6.229060649871826,
+      "epoch": 1.151615575807788,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004986278572211933,
+      "loss": 6.1723,
+      "mean_token_accuracy": 0.1280426375567913,
+      "num_tokens": 2535586.0,
+      "step": 1390
+    },
+    {
+      "entropy": 6.189875984191895,
+      "epoch": 1.1557580778790388,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004985923939947987,
+      "loss": 6.2595,
+      "mean_token_accuracy": 0.1247698113322258,
+      "num_tokens": 2546685.0,
+      "step": 1395
+    },
+    {
+      "entropy": 6.148470640182495,
+      "epoch": 1.15990057995029,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004985564797581115,
+      "loss": 5.9681,
+      "mean_token_accuracy": 0.12971177995204924,
+      "num_tokens": 2556873.0,
+      "step": 1400
+    },
+    {
+      "entropy": 6.143459701538086,
+      "epoch": 1.164043082021541,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004985201145835747,
+      "loss": 5.9836,
+      "mean_token_accuracy": 0.13127154856920242,
+      "num_tokens": 2565222.0,
+      "step": 1405
+    },
+    {
+      "entropy": 6.031957960128784,
+      "epoch": 1.1681855840927922,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.000498483298544541,
+      "loss": 5.9875,
+      "mean_token_accuracy": 0.13211632743477822,
+      "num_tokens": 2575467.0,
+      "step": 1410
+    },
+    {
+      "entropy": 6.136318731307983,
+      "epoch": 1.172328086164043,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000498446031715272,
+      "loss": 6.0125,
+      "mean_token_accuracy": 0.13508019223809242,
+      "num_tokens": 2583963.0,
+      "step": 1415
+    },
+    {
+      "entropy": 6.133963680267334,
+      "epoch": 1.1764705882352942,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004984083141709391,
+      "loss": 6.042,
+      "mean_token_accuracy": 0.13524071872234344,
+      "num_tokens": 2593350.0,
+      "step": 1420
+    },
+    {
+      "entropy": 5.975436115264893,
+      "epoch": 1.180613090306545,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000498370145987623,
+      "loss": 5.9652,
+      "mean_token_accuracy": 0.13682079091668128,
+      "num_tokens": 2602191.0,
+      "step": 1425
+    },
+    {
+      "entropy": 6.170718050003051,
+      "epoch": 1.1847555923777962,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.0004983315272423127,
+      "loss": 6.0999,
+      "mean_token_accuracy": 0.1291058838367462,
+      "num_tokens": 2613590.0,
+      "step": 1430
+    },
+    {
+      "entropy": 6.049332237243652,
+      "epoch": 1.1888980944490473,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004982924580129066,
+      "loss": 5.8895,
+      "mean_token_accuracy": 0.1340464949607849,
+      "num_tokens": 2622072.0,
+      "step": 1435
+    },
+    {
+      "entropy": 6.093293142318726,
+      "epoch": 1.1930405965202984,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004982529383782116,
+      "loss": 6.1012,
+      "mean_token_accuracy": 0.13022035285830497,
+      "num_tokens": 2630904.0,
+      "step": 1440
+    },
+    {
+      "entropy": 6.189996242523193,
+      "epoch": 1.1971830985915493,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004982129684179432,
+      "loss": 6.0594,
+      "mean_token_accuracy": 0.13088259026408194,
+      "num_tokens": 2639925.0,
+      "step": 1445
+    },
+    {
+      "entropy": 6.1187131881713865,
+      "epoch": 1.2013256006628004,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004981725482127251,
+      "loss": 5.977,
+      "mean_token_accuracy": 0.13439981341362,
+      "num_tokens": 2649397.0,
+      "step": 1450
+    },
+    {
+      "entropy": 6.16315655708313,
+      "epoch": 1.2054681027340513,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004981316778440892,
+      "loss": 6.081,
+      "mean_token_accuracy": 0.13515593931078912,
+      "num_tokens": 2658877.0,
+      "step": 1455
+    },
+    {
+      "entropy": 6.063838720321655,
+      "epoch": 1.2096106048053024,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004980903573944756,
+      "loss": 6.0171,
+      "mean_token_accuracy": 0.13121431767940522,
+      "num_tokens": 2668518.0,
+      "step": 1460
+    },
+    {
+      "entropy": 6.059180212020874,
+      "epoch": 1.2137531068765535,
+      "grad_norm": 1.0078125,
+      "learning_rate": 0.0004980485869472322,
+      "loss": 6.1148,
+      "mean_token_accuracy": 0.12996160089969636,
+      "num_tokens": 2677459.0,
+      "step": 1465
+    },
+    {
+      "entropy": 6.223527908325195,
+      "epoch": 1.2178956089478046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004980063665866143,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12482839822769165,
+      "num_tokens": 2686668.0,
+      "step": 1470
+    },
+    {
+      "entropy": 5.935272264480591,
+      "epoch": 1.2220381110190555,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004979636963977853,
+      "loss": 5.8825,
+      "mean_token_accuracy": 0.1352998949587345,
+      "num_tokens": 2695545.0,
+      "step": 1475
+    },
+    {
+      "entropy": 6.066101598739624,
+      "epoch": 1.2261806130903066,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004979205764668156,
+      "loss": 6.0569,
+      "mean_token_accuracy": 0.13228241056203843,
+      "num_tokens": 2705514.0,
+      "step": 1480
+    },
+    {
+      "entropy": 6.138315343856812,
+      "epoch": 1.2303231151615575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004978770068806825,
+      "loss": 5.9599,
+      "mean_token_accuracy": 0.13136665150523186,
+      "num_tokens": 2714373.0,
+      "step": 1485
+    },
+    {
+      "entropy": 6.061770391464234,
+      "epoch": 1.2344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.000497832987727271,
+      "loss": 6.0715,
+      "mean_token_accuracy": 0.1264137916266918,
+      "num_tokens": 2723887.0,
+      "step": 1490
+    },
+    {
+      "entropy": 6.061756038665772,
+      "epoch": 1.2386081193040597,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004977885190953724,
+      "loss": 5.956,
+      "mean_token_accuracy": 0.13353569880127908,
+      "num_tokens": 2733591.0,
+      "step": 1495
+    },
+    {
+      "entropy": 6.104292392730713,
+      "epoch": 1.2427506213753108,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004977436010746846,
+      "loss": 6.066,
+      "mean_token_accuracy": 0.13720986992120743,
+      "num_tokens": 2741638.0,
+      "step": 1500
+    },
+    {
+      "epoch": 1.2427506213753108,
+      "eval_entropy": 6.029743814773397,
+      "eval_loss": 6.2611613273620605,
+      "eval_mean_token_accuracy": 0.12890694399219332,
+      "eval_num_tokens": 2741638.0,
+      "eval_runtime": 2.9518,
+      "eval_samples_per_second": 1269.399,
+      "eval_steps_per_second": 158.887,
+      "step": 1500
+    },
+    {
+      "entropy": 6.078821802139283,
+      "epoch": 1.2468931234465617,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004976982337558124,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13084649220108985,
+      "num_tokens": 2749711.0,
+      "step": 1505
+    },
+    {
+      "entropy": 6.094208097457885,
+      "epoch": 1.2510356255178128,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004976524172302665,
+      "loss": 6.121,
+      "mean_token_accuracy": 0.13192041367292404,
+      "num_tokens": 2758121.0,
+      "step": 1510
+    },
+    {
+      "entropy": 6.159745693206787,
+      "epoch": 1.2551781275890637,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004976061515904641,
+      "loss": 6.1181,
+      "mean_token_accuracy": 0.12667254582047463,
+      "num_tokens": 2766764.0,
+      "step": 1515
+    },
+    {
+      "entropy": 6.116680526733399,
+      "epoch": 1.2593206296603148,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004975594369297277,
+      "loss": 6.0557,
+      "mean_token_accuracy": 0.1348518520593643,
+      "num_tokens": 2775561.0,
+      "step": 1520
+    },
+    {
+      "entropy": 6.08063235282898,
+      "epoch": 1.2634631317315659,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004975122733422861,
+      "loss": 6.0201,
+      "mean_token_accuracy": 0.13085112273693084,
+      "num_tokens": 2784691.0,
+      "step": 1525
+    },
+    {
+      "entropy": 6.129113435745239,
+      "epoch": 1.267605633802817,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004974646609232732,
+      "loss": 5.9816,
+      "mean_token_accuracy": 0.13641836866736412,
+      "num_tokens": 2793893.0,
+      "step": 1530
+    },
+    {
+      "entropy": 6.108260202407837,
+      "epoch": 1.2717481358740679,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004974165997687288,
+      "loss": 6.0751,
+      "mean_token_accuracy": 0.13353196606040002,
+      "num_tokens": 2804479.0,
+      "step": 1535
+    },
+    {
+      "entropy": 6.16022138595581,
+      "epoch": 1.275890637945319,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004973680899755972,
+      "loss": 6.107,
+      "mean_token_accuracy": 0.1326654002070427,
+      "num_tokens": 2813966.0,
+      "step": 1540
+    },
+    {
+      "entropy": 6.007886743545532,
+      "epoch": 1.2800331400165699,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.000497319131641728,
+      "loss": 5.9326,
+      "mean_token_accuracy": 0.13846119418740271,
+      "num_tokens": 2822328.0,
+      "step": 1545
+    },
+    {
+      "entropy": 6.003260755538941,
+      "epoch": 1.284175642087821,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004972697248658755,
+      "loss": 5.8899,
+      "mean_token_accuracy": 0.14066707715392113,
+      "num_tokens": 2829845.0,
+      "step": 1550
+    },
+    {
+      "entropy": 5.948832178115845,
+      "epoch": 1.288318144159072,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004972198697476987,
+      "loss": 5.8783,
+      "mean_token_accuracy": 0.13914238885045052,
+      "num_tokens": 2839040.0,
+      "step": 1555
+    },
+    {
+      "entropy": 5.961882209777832,
+      "epoch": 1.2924606462303232,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004971695663877607,
+      "loss": 5.9665,
+      "mean_token_accuracy": 0.13561231270432472,
+      "num_tokens": 2848574.0,
+      "step": 1560
+    },
+    {
+      "entropy": 6.077086877822876,
+      "epoch": 1.296603148301574,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004971188148875289,
+      "loss": 5.9421,
+      "mean_token_accuracy": 0.14444561377167703,
+      "num_tokens": 2856812.0,
+      "step": 1565
+    },
+    {
+      "entropy": 6.051652336120606,
+      "epoch": 1.3007456503728252,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004970676153493748,
+      "loss": 6.0283,
+      "mean_token_accuracy": 0.13189572617411613,
+      "num_tokens": 2866001.0,
+      "step": 1570
+    },
+    {
+      "entropy": 6.1068840503692625,
+      "epoch": 1.3048881524440763,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004970159678765731,
+      "loss": 6.0164,
+      "mean_token_accuracy": 0.13239546120166779,
+      "num_tokens": 2875181.0,
+      "step": 1575
+    },
+    {
+      "entropy": 6.049808597564697,
+      "epoch": 1.3090306545153272,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004969638725733028,
+      "loss": 5.9587,
+      "mean_token_accuracy": 0.13397156223654746,
+      "num_tokens": 2885103.0,
+      "step": 1580
+    },
+    {
+      "entropy": 5.92131872177124,
+      "epoch": 1.3131731565865783,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004969113295446455,
+      "loss": 5.9116,
+      "mean_token_accuracy": 0.1383065924048424,
+      "num_tokens": 2894055.0,
+      "step": 1585
+    },
+    {
+      "entropy": 6.116864538192749,
+      "epoch": 1.3173156586578294,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004968583388965863,
+      "loss": 5.9846,
+      "mean_token_accuracy": 0.133075200766325,
+      "num_tokens": 2903391.0,
+      "step": 1590
+    },
+    {
+      "entropy": 6.006745624542236,
+      "epoch": 1.3214581607290803,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004968049007360132,
+      "loss": 5.9854,
+      "mean_token_accuracy": 0.13297903537750244,
+      "num_tokens": 2911760.0,
+      "step": 1595
+    },
+    {
+      "entropy": 5.926331329345703,
+      "epoch": 1.3256006628003314,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004967510151707169,
+      "loss": 5.9369,
+      "mean_token_accuracy": 0.13469143435359002,
+      "num_tokens": 2920589.0,
+      "step": 1600
+    },
+    {
+      "entropy": 6.15295524597168,
+      "epoch": 1.3297431648715825,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004966966823093903,
+      "loss": 6.0746,
+      "mean_token_accuracy": 0.1302391268312931,
+      "num_tokens": 2929635.0,
+      "step": 1605
+    },
+    {
+      "entropy": 5.986531114578247,
+      "epoch": 1.3338856669428334,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004966419022616287,
+      "loss": 5.9349,
+      "mean_token_accuracy": 0.13593596145510672,
+      "num_tokens": 2938778.0,
+      "step": 1610
+    },
+    {
+      "entropy": 6.039755535125733,
+      "epoch": 1.3380281690140845,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004965866751379296,
+      "loss": 6.0503,
+      "mean_token_accuracy": 0.13109695687890052,
+      "num_tokens": 2947836.0,
+      "step": 1615
+    },
+    {
+      "entropy": 6.133180904388428,
+      "epoch": 1.3421706710853356,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004965310010496922,
+      "loss": 6.0032,
+      "mean_token_accuracy": 0.1280514419078827,
+      "num_tokens": 2957028.0,
+      "step": 1620
+    },
+    {
+      "entropy": 6.026159048080444,
+      "epoch": 1.3463131731565865,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004964748801092168,
+      "loss": 5.9571,
+      "mean_token_accuracy": 0.1338861681520939,
+      "num_tokens": 2966088.0,
+      "step": 1625
+    },
+    {
+      "entropy": 6.078959226608276,
+      "epoch": 1.3504556752278376,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004964183124297059,
+      "loss": 6.0438,
+      "mean_token_accuracy": 0.13178688064217567,
+      "num_tokens": 2975271.0,
+      "step": 1630
+    },
+    {
+      "entropy": 5.992210865020752,
+      "epoch": 1.3545981772990887,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004963612981252625,
+      "loss": 6.0524,
+      "mean_token_accuracy": 0.1321226365864277,
+      "num_tokens": 2983799.0,
+      "step": 1635
+    },
+    {
+      "entropy": 6.056794929504394,
+      "epoch": 1.3587406793703396,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004963038373108908,
+      "loss": 6.0179,
+      "mean_token_accuracy": 0.13609340488910676,
+      "num_tokens": 2992675.0,
+      "step": 1640
+    },
+    {
+      "entropy": 6.155933427810669,
+      "epoch": 1.3628831814415907,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.0004962459301024954,
+      "loss": 6.0838,
+      "mean_token_accuracy": 0.13211635649204254,
+      "num_tokens": 3002483.0,
+      "step": 1645
+    },
+    {
+      "entropy": 6.027872896194458,
+      "epoch": 1.3670256835128418,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004961875766168816,
+      "loss": 5.985,
+      "mean_token_accuracy": 0.13883458971977233,
+      "num_tokens": 3010611.0,
+      "step": 1650
+    },
+    {
+      "entropy": 6.057289028167725,
+      "epoch": 1.371168185584093,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004961287769717547,
+      "loss": 5.9397,
+      "mean_token_accuracy": 0.13197456523776055,
+      "num_tokens": 3019928.0,
+      "step": 1655
+    },
+    {
+      "entropy": 5.9325989246368405,
+      "epoch": 1.3753106876553438,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004960695312857199,
+      "loss": 5.9279,
+      "mean_token_accuracy": 0.13408055454492568,
+      "num_tokens": 3029003.0,
+      "step": 1660
+    },
+    {
+      "entropy": 6.0389604568481445,
+      "epoch": 1.379453189726595,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004960098396782824,
+      "loss": 5.9464,
+      "mean_token_accuracy": 0.1375861033797264,
+      "num_tokens": 3038049.0,
+      "step": 1665
+    },
+    {
+      "entropy": 5.969662141799927,
+      "epoch": 1.3835956917978458,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004959497022698466,
+      "loss": 5.9515,
+      "mean_token_accuracy": 0.14408120438456534,
+      "num_tokens": 3046674.0,
+      "step": 1670
+    },
+    {
+      "entropy": 6.0561059474945065,
+      "epoch": 1.387738193869097,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004958891191817163,
+      "loss": 5.9927,
+      "mean_token_accuracy": 0.12801324650645257,
+      "num_tokens": 3056459.0,
+      "step": 1675
+    },
+    {
+      "entropy": 6.032327270507812,
+      "epoch": 1.391880695940348,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.000495828090536094,
+      "loss": 5.9845,
+      "mean_token_accuracy": 0.13036760538816453,
+      "num_tokens": 3066294.0,
+      "step": 1680
+    },
+    {
+      "entropy": 6.0512574195861815,
+      "epoch": 1.3960231980115991,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004957666164560815,
+      "loss": 5.9412,
+      "mean_token_accuracy": 0.13139644563198088,
+      "num_tokens": 3075420.0,
+      "step": 1685
+    },
+    {
+      "entropy": 6.063203239440918,
+      "epoch": 1.40016570008285,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004957046970656784,
+      "loss": 6.0385,
+      "mean_token_accuracy": 0.13581736162304878,
+      "num_tokens": 3084373.0,
+      "step": 1690
+    },
+    {
+      "entropy": 6.00097541809082,
+      "epoch": 1.4043082021541011,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004956423324897831,
+      "loss": 6.0257,
+      "mean_token_accuracy": 0.13937310948967935,
+      "num_tokens": 3094212.0,
+      "step": 1695
+    },
+    {
+      "entropy": 6.043115425109863,
+      "epoch": 1.408450704225352,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004955795228541917,
+      "loss": 5.9589,
+      "mean_token_accuracy": 0.14452596232295037,
+      "num_tokens": 3102769.0,
+      "step": 1700
+    },
+    {
+      "entropy": 6.040110731124878,
+      "epoch": 1.4125932062966031,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000495516268285598,
+      "loss": 5.9805,
+      "mean_token_accuracy": 0.13440805301070213,
+      "num_tokens": 3111465.0,
+      "step": 1705
+    },
+    {
+      "entropy": 5.978239822387695,
+      "epoch": 1.4167357083678542,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004954525689115935,
+      "loss": 5.9177,
+      "mean_token_accuracy": 0.13326097056269645,
+      "num_tokens": 3121106.0,
+      "step": 1710
+    },
+    {
+      "entropy": 6.007881164550781,
+      "epoch": 1.4208782104391053,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004953884248606669,
+      "loss": 5.945,
+      "mean_token_accuracy": 0.14831372052431108,
+      "num_tokens": 3130662.0,
+      "step": 1715
+    },
+    {
+      "entropy": 5.97642674446106,
+      "epoch": 1.4250207125103562,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004953238362622034,
+      "loss": 5.9812,
+      "mean_token_accuracy": 0.13328263983130456,
+      "num_tokens": 3139538.0,
+      "step": 1720
+    },
+    {
+      "entropy": 6.0256367206573485,
+      "epoch": 1.4291632145816073,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004952588032464855,
+      "loss": 6.0298,
+      "mean_token_accuracy": 0.12707214802503586,
+      "num_tokens": 3148552.0,
+      "step": 1725
+    },
+    {
+      "entropy": 5.996851205825806,
+      "epoch": 1.4333057166528582,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004951933259446919,
+      "loss": 5.9365,
+      "mean_token_accuracy": 0.14197203740477563,
+      "num_tokens": 3156549.0,
+      "step": 1730
+    },
+    {
+      "entropy": 6.114988136291504,
+      "epoch": 1.4374482187241093,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004951274044888975,
+      "loss": 6.1006,
+      "mean_token_accuracy": 0.12147112190723419,
+      "num_tokens": 3166821.0,
+      "step": 1735
+    },
+    {
+      "entropy": 5.960144329071045,
+      "epoch": 1.4415907207953604,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004950610390120731,
+      "loss": 5.9848,
+      "mean_token_accuracy": 0.135729306191206,
+      "num_tokens": 3174962.0,
+      "step": 1740
+    },
+    {
+      "entropy": 6.087535095214844,
+      "epoch": 1.4457332228666115,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.000494994229648085,
+      "loss": 5.8903,
+      "mean_token_accuracy": 0.13537728488445283,
+      "num_tokens": 3184027.0,
+      "step": 1745
+    },
+    {
+      "entropy": 5.957475805282593,
+      "epoch": 1.4498757249378624,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004949269765316948,
+      "loss": 6.0321,
+      "mean_token_accuracy": 0.13071285635232927,
+      "num_tokens": 3193186.0,
+      "step": 1750
+    },
+    {
+      "entropy": 6.171153354644775,
+      "epoch": 1.4540182270091135,
+      "grad_norm": 2.140625,
+      "learning_rate": 0.0004948592797985599,
+      "loss": 6.0525,
+      "mean_token_accuracy": 0.13555259853601456,
+      "num_tokens": 3202676.0,
+      "step": 1755
+    },
+    {
+      "entropy": 6.123908805847168,
+      "epoch": 1.4581607290803644,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947911395852317,
+      "loss": 6.1524,
+      "mean_token_accuracy": 0.1352410912513733,
+      "num_tokens": 3211950.0,
+      "step": 1760
+    },
+    {
+      "entropy": 6.120599699020386,
+      "epoch": 1.4623032311516155,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004947225560291565,
+      "loss": 6.0758,
+      "mean_token_accuracy": 0.12961760386824608,
+      "num_tokens": 3221135.0,
+      "step": 1765
+    },
+    {
+      "entropy": 5.962483358383179,
+      "epoch": 1.4664457332228666,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004946535292686746,
+      "loss": 5.8975,
+      "mean_token_accuracy": 0.13825839310884475,
+      "num_tokens": 3230174.0,
+      "step": 1770
+    },
+    {
+      "entropy": 5.979943370819091,
+      "epoch": 1.4705882352941178,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004945840594430209,
+      "loss": 5.8871,
+      "mean_token_accuracy": 0.1381668671965599,
+      "num_tokens": 3238898.0,
+      "step": 1775
+    },
+    {
+      "entropy": 5.973515844345092,
+      "epoch": 1.4747307373653686,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004945141466923235,
+      "loss": 5.9292,
+      "mean_token_accuracy": 0.14479121565818787,
+      "num_tokens": 3247550.0,
+      "step": 1780
+    },
+    {
+      "entropy": 6.113377714157105,
+      "epoch": 1.4788732394366197,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004944437911576041,
+      "loss": 6.0779,
+      "mean_token_accuracy": 0.12900342419743538,
+      "num_tokens": 3256810.0,
+      "step": 1785
+    },
+    {
+      "entropy": 5.9020613670349125,
+      "epoch": 1.4830157415078706,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004943729929807772,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.139550269395113,
+      "num_tokens": 3265886.0,
+      "step": 1790
+    },
+    {
+      "entropy": 6.06021089553833,
+      "epoch": 1.4871582435791217,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004943017523046507,
+      "loss": 5.9273,
+      "mean_token_accuracy": 0.137468421459198,
+      "num_tokens": 3274522.0,
+      "step": 1795
+    },
+    {
+      "entropy": 6.027210426330567,
+      "epoch": 1.4913007456503728,
+      "grad_norm": 1.25,
+      "learning_rate": 0.000494230069272925,
+      "loss": 6.0486,
+      "mean_token_accuracy": 0.13558472618460654,
+      "num_tokens": 3283388.0,
+      "step": 1800
+    },
+    {
+      "entropy": 5.989331531524658,
+      "epoch": 1.495443247721624,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004941579440301923,
+      "loss": 5.9224,
+      "mean_token_accuracy": 0.1305856943130493,
+      "num_tokens": 3291887.0,
+      "step": 1805
+    },
+    {
+      "entropy": 5.96136965751648,
+      "epoch": 1.4995857497928748,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940853767219372,
+      "loss": 5.9685,
+      "mean_token_accuracy": 0.13564062863588333,
+      "num_tokens": 3300674.0,
+      "step": 1810
+    },
+    {
+      "entropy": 5.9364429950714115,
+      "epoch": 1.503728251864126,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004940123674945359,
+      "loss": 5.8311,
+      "mean_token_accuracy": 0.13808463513851166,
+      "num_tokens": 3309745.0,
+      "step": 1815
+    },
+    {
+      "entropy": 6.076629638671875,
+      "epoch": 1.5078707539353768,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004939389164952561,
+      "loss": 5.9722,
+      "mean_token_accuracy": 0.1378110609948635,
+      "num_tokens": 3318888.0,
+      "step": 1820
+    },
+    {
+      "entropy": 5.8970863819122314,
+      "epoch": 1.512013256006628,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004938650238722564,
+      "loss": 5.9296,
+      "mean_token_accuracy": 0.13823849260807036,
+      "num_tokens": 3328274.0,
+      "step": 1825
+    },
+    {
+      "entropy": 6.003948831558228,
+      "epoch": 1.516155758077879,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004937906897745861,
+      "loss": 5.9387,
+      "mean_token_accuracy": 0.1468382939696312,
+      "num_tokens": 3337579.0,
+      "step": 1830
+    },
+    {
+      "entropy": 6.045965003967285,
+      "epoch": 1.5202982601491302,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004937159143521856,
+      "loss": 5.9081,
+      "mean_token_accuracy": 0.14555162489414214,
+      "num_tokens": 3346262.0,
+      "step": 1835
+    },
+    {
+      "entropy": 5.972390079498291,
+      "epoch": 1.5244407622203813,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004936406977558847,
+      "loss": 6.0156,
+      "mean_token_accuracy": 0.13030771315097808,
+      "num_tokens": 3354833.0,
+      "step": 1840
+    },
+    {
+      "entropy": 6.051387977600098,
+      "epoch": 1.5285832642916322,
+      "grad_norm": 1.0,
+      "learning_rate": 0.0004935650401374039,
+      "loss": 6.0906,
+      "mean_token_accuracy": 0.14119647368788718,
+      "num_tokens": 3364314.0,
+      "step": 1845
+    },
+    {
+      "entropy": 6.046140813827515,
+      "epoch": 1.532725766362883,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004934889416493524,
+      "loss": 5.9157,
+      "mean_token_accuracy": 0.13524662256240844,
+      "num_tokens": 3373648.0,
+      "step": 1850
+    },
+    {
+      "entropy": 5.863892507553101,
+      "epoch": 1.5368682684341342,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004934124024452295,
+      "loss": 5.7869,
+      "mean_token_accuracy": 0.1471114367246628,
+      "num_tokens": 3382919.0,
+      "step": 1855
+    },
+    {
+      "entropy": 5.888700532913208,
+      "epoch": 1.5410107705053853,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004933354226794232,
+      "loss": 5.9383,
+      "mean_token_accuracy": 0.1432707317173481,
+      "num_tokens": 3391814.0,
+      "step": 1860
+    },
+    {
+      "entropy": 6.080925798416137,
+      "epoch": 1.5451532725766364,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004932580025072098,
+      "loss": 5.9919,
+      "mean_token_accuracy": 0.13580586463212968,
+      "num_tokens": 3400392.0,
+      "step": 1865
+    },
+    {
+      "entropy": 5.996384525299073,
+      "epoch": 1.5492957746478875,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004931801420847545,
+      "loss": 6.036,
+      "mean_token_accuracy": 0.13089759424328803,
+      "num_tokens": 3410430.0,
+      "step": 1870
+    },
+    {
+      "entropy": 5.932257795333863,
+      "epoch": 1.5534382767191384,
+      "grad_norm": 0.9609375,
+      "learning_rate": 0.0004931018415691102,
+      "loss": 5.877,
+      "mean_token_accuracy": 0.13694921880960464,
+      "num_tokens": 3420654.0,
+      "step": 1875
+    },
+    {
+      "entropy": 5.951343011856079,
+      "epoch": 1.5575807787903893,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004930231011182176,
+      "loss": 5.9986,
+      "mean_token_accuracy": 0.13937177062034606,
+      "num_tokens": 3430514.0,
+      "step": 1880
+    },
+    {
+      "entropy": 6.071512508392334,
+      "epoch": 1.5617232808616404,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004929439208909048,
+      "loss": 5.9331,
+      "mean_token_accuracy": 0.1375361390411854,
+      "num_tokens": 3439551.0,
+      "step": 1885
+    },
+    {
+      "entropy": 5.902947330474854,
+      "epoch": 1.5658657829328915,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004928643010468869,
+      "loss": 5.8911,
+      "mean_token_accuracy": 0.13622887432575226,
+      "num_tokens": 3448160.0,
+      "step": 1890
+    },
+    {
+      "entropy": 5.993059539794922,
+      "epoch": 1.5700082850041426,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.0004927842417467659,
+      "loss": 5.9517,
+      "mean_token_accuracy": 0.14548188596963882,
+      "num_tokens": 3457296.0,
+      "step": 1895
+    },
+    {
+      "entropy": 6.027637386322022,
+      "epoch": 1.5741507870753937,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004927037431520302,
+      "loss": 5.9073,
+      "mean_token_accuracy": 0.14102519080042838,
+      "num_tokens": 3466108.0,
+      "step": 1900
+    },
+    {
+      "entropy": 5.975209665298462,
+      "epoch": 1.5782932891466446,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004926228054250541,
+      "loss": 5.9941,
+      "mean_token_accuracy": 0.14009249955415726,
+      "num_tokens": 3475336.0,
+      "step": 1905
+    },
+    {
+      "entropy": 6.073916673660278,
+      "epoch": 1.5824357912178955,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004925414287290979,
+      "loss": 5.9668,
+      "mean_token_accuracy": 0.13723743334412575,
+      "num_tokens": 3483963.0,
+      "step": 1910
+    },
+    {
+      "entropy": 5.848618030548096,
+      "epoch": 1.5865782932891466,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004924596132283075,
+      "loss": 5.8765,
+      "mean_token_accuracy": 0.14485997408628465,
+      "num_tokens": 3492947.0,
+      "step": 1915
+    },
+    {
+      "entropy": 5.966853284835816,
+      "epoch": 1.5907207953603977,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004923773590877135,
+      "loss": 5.9651,
+      "mean_token_accuracy": 0.13334692791104316,
+      "num_tokens": 3501877.0,
+      "step": 1920
+    },
+    {
+      "entropy": 6.042904996871949,
+      "epoch": 1.5948632974316488,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004922946664732314,
+      "loss": 6.0304,
+      "mean_token_accuracy": 0.13204361274838447,
+      "num_tokens": 3510610.0,
+      "step": 1925
+    },
+    {
+      "entropy": 6.0583656311035154,
+      "epoch": 1.5990057995029,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004922115355516615,
+      "loss": 5.9841,
+      "mean_token_accuracy": 0.13304307833313941,
+      "num_tokens": 3519829.0,
+      "step": 1930
+    },
+    {
+      "entropy": 6.015839862823486,
+      "epoch": 1.6031483015741508,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004921279664906877,
+      "loss": 5.9661,
+      "mean_token_accuracy": 0.13071200698614122,
+      "num_tokens": 3529408.0,
+      "step": 1935
+    },
+    {
+      "entropy": 5.924501991271972,
+      "epoch": 1.6072908036454017,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004920439594588781,
+      "loss": 5.8955,
+      "mean_token_accuracy": 0.14675913602113724,
+      "num_tokens": 3538068.0,
+      "step": 1940
+    },
+    {
+      "entropy": 6.051935148239136,
+      "epoch": 1.6114333057166528,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.000491959514625684,
+      "loss": 6.0177,
+      "mean_token_accuracy": 0.13845598921179772,
+      "num_tokens": 3547302.0,
+      "step": 1945
+    },
+    {
+      "entropy": 5.956210565567017,
+      "epoch": 1.6155758077879039,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00049187463216144,
+      "loss": 5.9024,
+      "mean_token_accuracy": 0.145584287494421,
+      "num_tokens": 3556087.0,
+      "step": 1950
+    },
+    {
+      "entropy": 6.046857452392578,
+      "epoch": 1.619718309859155,
+      "grad_norm": 0.984375,
+      "learning_rate": 0.000491789312237363,
+      "loss": 5.9857,
+      "mean_token_accuracy": 0.13579782098531723,
+      "num_tokens": 3566235.0,
+      "step": 1955
+    },
+    {
+      "entropy": 5.983897924423218,
+      "epoch": 1.623860811930406,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004917035550255528,
+      "loss": 5.899,
+      "mean_token_accuracy": 0.14092317298054696,
+      "num_tokens": 3574762.0,
+      "step": 1960
+    },
+    {
+      "entropy": 5.904513597488403,
+      "epoch": 1.628003314001657,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000491617360698991,
+      "loss": 5.8837,
+      "mean_token_accuracy": 0.139695380628109,
+      "num_tokens": 3583359.0,
+      "step": 1965
+    },
+    {
+      "entropy": 5.920687866210938,
+      "epoch": 1.6321458160729079,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004915307294315412,
+      "loss": 5.8505,
+      "mean_token_accuracy": 0.14011457338929176,
+      "num_tokens": 3591436.0,
+      "step": 1970
+    },
+    {
+      "entropy": 5.926318550109864,
+      "epoch": 1.636288318144159,
+      "grad_norm": 1.03125,
+      "learning_rate": 0.000491443661397948,
+      "loss": 5.9355,
+      "mean_token_accuracy": 0.13468224480748175,
+      "num_tokens": 3601054.0,
+      "step": 1975
+    },
+    {
+      "entropy": 5.974443817138672,
+      "epoch": 1.64043082021541,
+      "grad_norm": 1.0390625,
+      "learning_rate": 0.0004913561567738368,
+      "loss": 5.9014,
+      "mean_token_accuracy": 0.1383673779666424,
+      "num_tokens": 3610641.0,
+      "step": 1980
+    },
+    {
+      "entropy": 5.912512636184692,
+      "epoch": 1.6445733222866612,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004912682157357146,
+      "loss": 5.8447,
+      "mean_token_accuracy": 0.13975749984383584,
+      "num_tokens": 3619351.0,
+      "step": 1985
+    },
+    {
+      "entropy": 5.853101539611816,
+      "epoch": 1.6487158243579123,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004911798384609675,
+      "loss": 5.8306,
+      "mean_token_accuracy": 0.1472959376871586,
+      "num_tokens": 3627341.0,
+      "step": 1990
+    },
+    {
+      "entropy": 5.942045879364014,
+      "epoch": 1.6528583264291632,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004910910251278626,
+      "loss": 5.8918,
+      "mean_token_accuracy": 0.14801610112190247,
+      "num_tokens": 3637132.0,
+      "step": 1995
+    },
+    {
+      "entropy": 5.919465351104736,
+      "epoch": 1.6570008285004143,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004910017759155458,
+      "loss": 5.9479,
+      "mean_token_accuracy": 0.1400071859359741,
+      "num_tokens": 3646196.0,
+      "step": 2000
+    },
+    {
+      "epoch": 1.6570008285004143,
+      "eval_entropy": 5.874394122979789,
+      "eval_loss": 6.1148576736450195,
+      "eval_mean_token_accuracy": 0.1363023624046525,
+      "eval_num_tokens": 3646196.0,
+      "eval_runtime": 2.7574,
+      "eval_samples_per_second": 1358.871,
+      "eval_steps_per_second": 170.085,
+      "step": 2000
+    },
+    {
+      "entropy": 5.967284250259399,
+      "epoch": 1.6611433305716652,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004909120910040427,
+      "loss": 5.8839,
+      "mean_token_accuracy": 0.1461731344461441,
+      "num_tokens": 3654658.0,
+      "step": 2005
+    },
+    {
+      "entropy": 6.045904684066772,
+      "epoch": 1.6652858326429163,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004908219705742574,
+      "loss": 6.1605,
+      "mean_token_accuracy": 0.13489469960331918,
+      "num_tokens": 3664509.0,
+      "step": 2010
+    },
+    {
+      "entropy": 6.002130031585693,
+      "epoch": 1.6694283347141674,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004907314148079727,
+      "loss": 5.8567,
+      "mean_token_accuracy": 0.1425239197909832,
+      "num_tokens": 3672983.0,
+      "step": 2015
+    },
+    {
+      "entropy": 5.708412790298462,
+      "epoch": 1.6735708367854185,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004906404238878496,
+      "loss": 5.7221,
+      "mean_token_accuracy": 0.14639501571655272,
+      "num_tokens": 3681196.0,
+      "step": 2020
+    },
+    {
+      "entropy": 5.97982873916626,
+      "epoch": 1.6777133388566694,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004905489979974265,
+      "loss": 5.9098,
+      "mean_token_accuracy": 0.14081615954637527,
+      "num_tokens": 3690077.0,
+      "step": 2025
+    },
+    {
+      "entropy": 5.942774772644043,
+      "epoch": 1.6818558409279205,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004904571373211197,
+      "loss": 5.9906,
+      "mean_token_accuracy": 0.13563016131520272,
+      "num_tokens": 3700121.0,
+      "step": 2030
+    },
+    {
+      "entropy": 5.897730588912964,
+      "epoch": 1.6859983429991714,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.000490364842044222,
+      "loss": 5.8074,
+      "mean_token_accuracy": 0.14530285224318504,
+      "num_tokens": 3709618.0,
+      "step": 2035
+    },
+    {
+      "entropy": 5.954602289199829,
+      "epoch": 1.6901408450704225,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004902721123529031,
+      "loss": 5.9869,
+      "mean_token_accuracy": 0.12953415215015412,
+      "num_tokens": 3719570.0,
+      "step": 2040
+    },
+    {
+      "entropy": 6.074023342132568,
+      "epoch": 1.6942833471416736,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000490178948434209,
+      "loss": 5.9267,
+      "mean_token_accuracy": 0.14249598532915114,
+      "num_tokens": 3729354.0,
+      "step": 2045
+    },
+    {
+      "entropy": 5.833365964889526,
+      "epoch": 1.6984258492129247,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004900853504760614,
+      "loss": 5.8409,
+      "mean_token_accuracy": 0.14450331926345825,
+      "num_tokens": 3738453.0,
+      "step": 2050
+    },
+    {
+      "entropy": 5.888468265533447,
+      "epoch": 1.7025683512841756,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004899913186672577,
+      "loss": 5.8165,
+      "mean_token_accuracy": 0.14293194860219954,
+      "num_tokens": 3747815.0,
+      "step": 2055
+    },
+    {
+      "entropy": 5.914711236953735,
+      "epoch": 1.7067108533554267,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004898968531974702,
+      "loss": 5.9249,
+      "mean_token_accuracy": 0.14642315953969956,
+      "num_tokens": 3757298.0,
+      "step": 2060
+    },
+    {
+      "entropy": 5.978992033004761,
+      "epoch": 1.7108533554266776,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004898019542572462,
+      "loss": 5.9124,
+      "mean_token_accuracy": 0.14719650894403458,
+      "num_tokens": 3765939.0,
+      "step": 2065
+    },
+    {
+      "entropy": 6.005469894409179,
+      "epoch": 1.7149958574979287,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004897066220380073,
+      "loss": 5.933,
+      "mean_token_accuracy": 0.13779435828328132,
+      "num_tokens": 3775160.0,
+      "step": 2070
+    },
+    {
+      "entropy": 5.921374797821045,
+      "epoch": 1.7191383595691798,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004896108567320489,
+      "loss": 5.831,
+      "mean_token_accuracy": 0.14186858981847764,
+      "num_tokens": 3785181.0,
+      "step": 2075
+    },
+    {
+      "entropy": 5.972924375534058,
+      "epoch": 1.723280861640431,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048951465853254,
+      "loss": 5.9444,
+      "mean_token_accuracy": 0.14323145076632499,
+      "num_tokens": 3794531.0,
+      "step": 2080
+    },
+    {
+      "entropy": 5.953138160705566,
+      "epoch": 1.7274233637116818,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.0004894180276335231,
+      "loss": 5.934,
+      "mean_token_accuracy": 0.1396125227212906,
+      "num_tokens": 3804602.0,
+      "step": 2085
+    },
+    {
+      "entropy": 5.9721667766571045,
+      "epoch": 1.731565865782933,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004893209642299132,
+      "loss": 5.97,
+      "mean_token_accuracy": 0.1395590640604496,
+      "num_tokens": 3813394.0,
+      "step": 2090
+    },
+    {
+      "entropy": 5.97849326133728,
+      "epoch": 1.7357083678541838,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004892234685174976,
+      "loss": 5.962,
+      "mean_token_accuracy": 0.13808128908276557,
+      "num_tokens": 3821604.0,
+      "step": 2095
+    },
+    {
+      "entropy": 5.967495775222778,
+      "epoch": 1.739850869925435,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004891255406929359,
+      "loss": 5.9564,
+      "mean_token_accuracy": 0.13652343899011612,
+      "num_tokens": 3831977.0,
+      "step": 2100
+    },
+    {
+      "entropy": 5.98737063407898,
+      "epoch": 1.743993371996686,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004890271809537595,
+      "loss": 5.9017,
+      "mean_token_accuracy": 0.1393343411386013,
+      "num_tokens": 3840684.0,
+      "step": 2105
+    },
+    {
+      "entropy": 5.870862340927124,
+      "epoch": 1.7481358740679371,
+      "grad_norm": 1.015625,
+      "learning_rate": 0.0004889283894983704,
+      "loss": 5.8147,
+      "mean_token_accuracy": 0.1389534741640091,
+      "num_tokens": 3851147.0,
+      "step": 2110
+    },
+    {
+      "entropy": 6.002704238891601,
+      "epoch": 1.752278376139188,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.000488829166526042,
+      "loss": 5.9838,
+      "mean_token_accuracy": 0.13991605415940284,
+      "num_tokens": 3859881.0,
+      "step": 2115
+    },
+    {
+      "entropy": 5.948231506347656,
+      "epoch": 1.7564208782104391,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004887295122369176,
+      "loss": 6.0107,
+      "mean_token_accuracy": 0.13371825441718102,
+      "num_tokens": 3870151.0,
+      "step": 2120
+    },
+    {
+      "entropy": 5.99525203704834,
+      "epoch": 1.76056338028169,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.000488629426832011,
+      "loss": 5.9313,
+      "mean_token_accuracy": 0.13850879445672035,
+      "num_tokens": 3878398.0,
+      "step": 2125
+    },
+    {
+      "entropy": 5.924004030227661,
+      "epoch": 1.7647058823529411,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004885289105132054,
+      "loss": 5.8893,
+      "mean_token_accuracy": 0.14114601090550422,
+      "num_tokens": 3888007.0,
+      "step": 2130
+    },
+    {
+      "entropy": 5.930246257781983,
+      "epoch": 1.7688483844241922,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004884279634832532,
+      "loss": 5.8728,
+      "mean_token_accuracy": 0.14278061985969542,
+      "num_tokens": 3896945.0,
+      "step": 2135
+    },
+    {
+      "entropy": 5.940092372894287,
+      "epoch": 1.7729908864954433,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004883265859457754,
+      "loss": 5.8905,
+      "mean_token_accuracy": 0.1457919418811798,
+      "num_tokens": 3906049.0,
+      "step": 2140
+    },
+    {
+      "entropy": 5.866062164306641,
+      "epoch": 1.7771333885666944,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048822477810526186,
+      "loss": 5.8422,
+      "mean_token_accuracy": 0.1388966679573059,
+      "num_tokens": 3915050.0,
+      "step": 2145
+    },
+    {
+      "entropy": 5.966696119308471,
+      "epoch": 1.7812758906379453,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00048812254016706994,
+      "loss": 5.9205,
+      "mean_token_accuracy": 0.14728582575917243,
+      "num_tokens": 3924031.0,
+      "step": 2150
+    },
+    {
+      "entropy": 5.915832757949829,
+      "epoch": 1.7854183927091962,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004880198723374247,
+      "loss": 5.9776,
+      "mean_token_accuracy": 0.14149753525853156,
+      "num_tokens": 3933756.0,
+      "step": 2155
+    },
+    {
+      "entropy": 5.959774684906006,
+      "epoch": 1.7895608947804473,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048791677482341845,
+      "loss": 5.9592,
+      "mean_token_accuracy": 0.13750381171703338,
+      "num_tokens": 3943129.0,
+      "step": 2160
+    },
+    {
+      "entropy": 5.881538438796997,
+      "epoch": 1.7937033968516984,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048781324783301016,
+      "loss": 5.7912,
+      "mean_token_accuracy": 0.14508036673069,
+      "num_tokens": 3951494.0,
+      "step": 2165
+    },
+    {
+      "entropy": 5.946735525131226,
+      "epoch": 1.7978458989229495,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048770929157502505,
+      "loss": 5.9565,
+      "mean_token_accuracy": 0.143115097284317,
+      "num_tokens": 3960588.0,
+      "step": 2170
+    },
+    {
+      "entropy": 5.9805809497833256,
+      "epoch": 1.8019884009942007,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004876049062591543,
+      "loss": 5.9226,
+      "mean_token_accuracy": 0.13506680428981782,
+      "num_tokens": 3970135.0,
+      "step": 2175
+    },
+    {
+      "entropy": 5.950060653686523,
+      "epoch": 1.8061309030654515,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00048750009209595443,
+      "loss": 5.9042,
+      "mean_token_accuracy": 0.13944360390305519,
+      "num_tokens": 3979569.0,
+      "step": 2180
+    },
+    {
+      "entropy": 5.88271656036377,
+      "epoch": 1.8102734051367024,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048739484929684714,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.144245932251215,
+      "num_tokens": 3987885.0,
+      "step": 2185
+    },
+    {
+      "entropy": 5.933677864074707,
+      "epoch": 1.8144159072079535,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048728917807411856,
+      "loss": 6.0216,
+      "mean_token_accuracy": 0.13125594183802605,
+      "num_tokens": 3997726.0,
+      "step": 2190
+    },
+    {
+      "entropy": 6.008653068542481,
+      "epoch": 1.8185584092792046,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004871830786409191,
+      "loss": 5.8436,
+      "mean_token_accuracy": 0.14898036047816277,
+      "num_tokens": 4006437.0,
+      "step": 2195
+    },
+    {
+      "entropy": 5.856683444976807,
+      "epoch": 1.8227009113504558,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00048707655121126296,
+      "loss": 5.8124,
+      "mean_token_accuracy": 0.14927435666322708,
+      "num_tokens": 4015326.0,
+      "step": 2200
+    },
+    {
+      "entropy": 5.924995994567871,
+      "epoch": 1.8268434134217069,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048696959600002767,
+      "loss": 5.8722,
+      "mean_token_accuracy": 0.14032577201724053,
+      "num_tokens": 4024294.0,
+      "step": 2205
+    },
+    {
+      "entropy": 5.881852293014527,
+      "epoch": 1.8309859154929577,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048686221322295347,
+      "loss": 5.9028,
+      "mean_token_accuracy": 0.14340249821543694,
+      "num_tokens": 4033341.0,
+      "step": 2210
+    },
+    {
+      "entropy": 5.951443433761597,
+      "epoch": 1.8351284175642086,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048675440309664314,
+      "loss": 5.8446,
+      "mean_token_accuracy": 0.1474481076002121,
+      "num_tokens": 4042446.0,
+      "step": 2215
+    },
+    {
+      "entropy": 5.832607173919678,
+      "epoch": 1.8392709196354597,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00048664616583856166,
+      "loss": 5.8924,
+      "mean_token_accuracy": 0.13868724405765534,
+      "num_tokens": 4051849.0,
+      "step": 2220
+    },
+    {
+      "entropy": 6.026660823822022,
+      "epoch": 1.8434134217067109,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00048653750166703516,
+      "loss": 5.9855,
+      "mean_token_accuracy": 0.1381051518023014,
+      "num_tokens": 4061075.0,
+      "step": 2225
+    },
+    {
+      "entropy": 5.976817560195923,
+      "epoch": 1.847555923777962,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004864284108012513,
+      "loss": 5.9524,
+      "mean_token_accuracy": 0.13498588278889656,
+      "num_tokens": 4071022.0,
+      "step": 2230
+    },
+    {
+      "entropy": 5.884273719787598,
+      "epoch": 1.851698425849213,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004863188934612583,
+      "loss": 5.854,
+      "mean_token_accuracy": 0.1435965158045292,
+      "num_tokens": 4080728.0,
+      "step": 2235
+    },
+    {
+      "entropy": 5.8848789691925045,
+      "epoch": 1.855840927920464,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004862089498679645,
+      "loss": 5.8121,
+      "mean_token_accuracy": 0.15146355628967284,
+      "num_tokens": 4088712.0,
+      "step": 2240
+    },
+    {
+      "entropy": 5.904728364944458,
+      "epoch": 1.8599834299917148,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004860985802431383,
+      "loss": 5.8445,
+      "mean_token_accuracy": 0.14107747822999955,
+      "num_tokens": 4097488.0,
+      "step": 2245
+    },
+    {
+      "entropy": 5.815548610687256,
+      "epoch": 1.864125932062966,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004859877848094071,
+      "loss": 5.8328,
+      "mean_token_accuracy": 0.14647450745105745,
+      "num_tokens": 4106485.0,
+      "step": 2250
+    },
+    {
+      "entropy": 5.969652986526489,
+      "epoch": 1.868268434134217,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004858765637902575,
+      "loss": 5.8016,
+      "mean_token_accuracy": 0.14588006138801574,
+      "num_tokens": 4115806.0,
+      "step": 2255
+    },
+    {
+      "entropy": 5.982199335098267,
+      "epoch": 1.8724109362054682,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004857649174100344,
+      "loss": 5.9353,
+      "mean_token_accuracy": 0.14478921219706536,
+      "num_tokens": 4124636.0,
+      "step": 2260
+    },
+    {
+      "entropy": 5.869907474517822,
+      "epoch": 1.8765534382767193,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.0004856528458939409,
+      "loss": 5.8948,
+      "mean_token_accuracy": 0.13403457626700402,
+      "num_tokens": 4133876.0,
+      "step": 2265
+    },
+    {
+      "entropy": 5.836872100830078,
+      "epoch": 1.8806959403479702,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004855403494680373,
+      "loss": 5.8159,
+      "mean_token_accuracy": 0.14096100330352784,
+      "num_tokens": 4143555.0,
+      "step": 2270
+    },
+    {
+      "entropy": 5.871636962890625,
+      "epoch": 1.884838442419221,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00048542742835924133,
+      "loss": 5.7773,
+      "mean_token_accuracy": 0.14253296032547952,
+      "num_tokens": 4153007.0,
+      "step": 2275
+    },
+    {
+      "entropy": 5.766701364517212,
+      "epoch": 1.8889809444904722,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048531408279532705,
+      "loss": 5.8171,
+      "mean_token_accuracy": 0.14552054405212403,
+      "num_tokens": 4162107.0,
+      "step": 2280
+    },
+    {
+      "entropy": 5.884533357620239,
+      "epoch": 1.8931234465617233,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048520031300492507,
+      "loss": 5.8208,
+      "mean_token_accuracy": 0.14203491136431695,
+      "num_tokens": 4170920.0,
+      "step": 2285
+    },
+    {
+      "entropy": 5.9367118835449215,
+      "epoch": 1.8972659486329744,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048508611921752124,
+      "loss": 5.8366,
+      "mean_token_accuracy": 0.14547978863120078,
+      "num_tokens": 4180226.0,
+      "step": 2290
+    },
+    {
+      "entropy": 5.804201984405518,
+      "epoch": 1.9014084507042255,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00048497150166345703,
+      "loss": 5.7799,
+      "mean_token_accuracy": 0.14307984560728074,
+      "num_tokens": 4189283.0,
+      "step": 2295
+    },
+    {
+      "entropy": 5.833661937713623,
+      "epoch": 1.9055509527754764,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004848564605739287,
+      "loss": 5.8181,
+      "mean_token_accuracy": 0.14286661818623542,
+      "num_tokens": 4199017.0,
+      "step": 2300
+    },
+    {
+      "entropy": 5.985245418548584,
+      "epoch": 1.9096934548467275,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00048474099618098644,
+      "loss": 5.9557,
+      "mean_token_accuracy": 0.13776218444108962,
+      "num_tokens": 4207756.0,
+      "step": 2305
+    },
+    {
+      "entropy": 5.926583385467529,
+      "epoch": 1.9138359569179784,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004846251087175348,
+      "loss": 5.8467,
+      "mean_token_accuracy": 0.14270823299884797,
+      "num_tokens": 4216721.0,
+      "step": 2310
+    },
+    {
+      "entropy": 5.816466999053955,
+      "epoch": 1.9179784589892295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004845087984173312,
+      "loss": 5.8214,
+      "mean_token_accuracy": 0.14952016696333886,
+      "num_tokens": 4225596.0,
+      "step": 2315
+    },
+    {
+      "entropy": 5.975145244598389,
+      "epoch": 1.9221209610604806,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048439206551498644,
+      "loss": 5.8881,
+      "mean_token_accuracy": 0.14604572355747222,
+      "num_tokens": 4234500.0,
+      "step": 2320
+    },
+    {
+      "entropy": 5.83410792350769,
+      "epoch": 1.9262634631317317,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004842749102459635,
+      "loss": 5.8331,
+      "mean_token_accuracy": 0.14477182626724244,
+      "num_tokens": 4243240.0,
+      "step": 2325
+    },
+    {
+      "entropy": 5.799895906448365,
+      "epoch": 1.9304059652029826,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00048415733284657727,
+      "loss": 5.8249,
+      "mean_token_accuracy": 0.14724751114845275,
+      "num_tokens": 4251892.0,
+      "step": 2330
+    },
+    {
+      "entropy": 5.914888668060303,
+      "epoch": 1.9345484672742337,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004840393335539943,
+      "loss": 5.784,
+      "mean_token_accuracy": 0.14537777602672577,
+      "num_tokens": 4261447.0,
+      "step": 2335
+    },
+    {
+      "entropy": 5.93565788269043,
+      "epoch": 1.9386909693454846,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00048392091260623195,
+      "loss": 5.9202,
+      "mean_token_accuracy": 0.1471864774823189,
+      "num_tokens": 4270120.0,
+      "step": 2340
+    },
+    {
+      "entropy": 5.905978488922119,
+      "epoch": 1.9428334714167357,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048380207024215836,
+      "loss": 5.7991,
+      "mean_token_accuracy": 0.1482786476612091,
+      "num_tokens": 4278300.0,
+      "step": 2345
+    },
+    {
+      "entropy": 5.905145263671875,
+      "epoch": 1.9469759734879868,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00048368280670149145,
+      "loss": 5.8487,
+      "mean_token_accuracy": 0.1461447760462761,
+      "num_tokens": 4286454.0,
+      "step": 2350
+    },
+    {
+      "entropy": 5.805000495910645,
+      "epoch": 1.951118475559238,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004835631222247989,
+      "loss": 5.7243,
+      "mean_token_accuracy": 0.15050614029169082,
+      "num_tokens": 4294752.0,
+      "step": 2355
+    },
+    {
+      "entropy": 5.907592630386352,
+      "epoch": 1.9552609776304888,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00048344301705349735,
+      "loss": 5.7974,
+      "mean_token_accuracy": 0.14830030649900436,
+      "num_tokens": 4303195.0,
+      "step": 2360
+    },
+    {
+      "entropy": 5.841587924957276,
+      "epoch": 1.95940347970174,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00048332249142985195,
+      "loss": 5.9211,
+      "mean_token_accuracy": 0.1373597078025341,
+      "num_tokens": 4311961.0,
+      "step": 2365
+    },
+    {
+      "entropy": 5.900353670120239,
+      "epoch": 1.9635459817729908,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004832015455969763,
+      "loss": 5.7748,
+      "mean_token_accuracy": 0.13879901468753814,
+      "num_tokens": 4322267.0,
+      "step": 2370
+    },
+    {
+      "entropy": 5.774641275405884,
+      "epoch": 1.9676884838442419,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00048308017979883114,
+      "loss": 5.8838,
+      "mean_token_accuracy": 0.1426581546664238,
+      "num_tokens": 4330584.0,
+      "step": 2375
+    },
+    {
+      "entropy": 5.840176010131836,
+      "epoch": 1.971830985915493,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00048295839428022454,
+      "loss": 5.7215,
+      "mean_token_accuracy": 0.14949245899915695,
+      "num_tokens": 4339215.0,
+      "step": 2380
+    },
+    {
+      "entropy": 5.869688034057617,
+      "epoch": 1.975973487986744,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00048283618928681127,
+      "loss": 5.7418,
+      "mean_token_accuracy": 0.1501791574060917,
+      "num_tokens": 4347711.0,
+      "step": 2385
+    },
+    {
+      "entropy": 5.764533996582031,
+      "epoch": 1.980115990057995,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004827135650650923,
+      "loss": 5.7445,
+      "mean_token_accuracy": 0.14758301600813867,
+      "num_tokens": 4356982.0,
+      "step": 2390
+    },
+    {
+      "entropy": 5.770398235321045,
+      "epoch": 1.984258492129246,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004825905218624139,
+      "loss": 5.7696,
+      "mean_token_accuracy": 0.14773683473467827,
+      "num_tokens": 4365378.0,
+      "step": 2395
+    },
+    {
+      "entropy": 5.9908288478851315,
+      "epoch": 1.988400994200497,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048246705992696756,
+      "loss": 5.8174,
+      "mean_token_accuracy": 0.14142358154058457,
+      "num_tokens": 4374007.0,
+      "step": 2400
+    },
+    {
+      "entropy": 5.9741987705230715,
+      "epoch": 1.992543496271748,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.00048234317950778975,
+      "loss": 5.9346,
+      "mean_token_accuracy": 0.1409923940896988,
+      "num_tokens": 4383909.0,
+      "step": 2405
+    },
+    {
+      "entropy": 5.967488718032837,
+      "epoch": 1.9966859983429992,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004822188808547607,
+      "loss": 5.9967,
+      "mean_token_accuracy": 0.13560240790247918,
+      "num_tokens": 4393145.0,
+      "step": 2410
+    },
+    {
+      "entropy": 5.751282596588135,
+      "epoch": 2.0008285004142503,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004820941642186043,
+      "loss": 5.7146,
+      "mean_token_accuracy": 0.14043126851320267,
+      "num_tokens": 4402024.0,
+      "step": 2415
+    },
+    {
+      "entropy": 5.91456356048584,
+      "epoch": 2.0049710024855014,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004819690298508879,
+      "loss": 5.5395,
+      "mean_token_accuracy": 0.1603303700685501,
+      "num_tokens": 4411377.0,
+      "step": 2420
+    },
+    {
+      "entropy": 5.758482313156128,
+      "epoch": 2.009113504556752,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00048184347800402083,
+      "loss": 5.4299,
+      "mean_token_accuracy": 0.16564757078886033,
+      "num_tokens": 4419781.0,
+      "step": 2425
+    },
+    {
+      "entropy": 5.727555131912231,
+      "epoch": 2.013256006628003,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004817175089312551,
+      "loss": 5.4154,
+      "mean_token_accuracy": 0.16400155574083328,
+      "num_tokens": 4428427.0,
+      "step": 2430
+    },
+    {
+      "entropy": 5.749885892868042,
+      "epoch": 2.0173985086992543,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048159112288668403,
+      "loss": 5.4586,
+      "mean_token_accuracy": 0.15933601409196854,
+      "num_tokens": 4438156.0,
+      "step": 2435
+    },
+    {
+      "entropy": 5.876013088226318,
+      "epoch": 2.0215410107705054,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00048146432012524215,
+      "loss": 5.4819,
+      "mean_token_accuracy": 0.16306492537260056,
+      "num_tokens": 4446342.0,
+      "step": 2440
+    },
+    {
+      "entropy": 5.738983201980591,
+      "epoch": 2.0256835128417565,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00048133710090270446,
+      "loss": 5.5229,
+      "mean_token_accuracy": 0.1542331963777542,
+      "num_tokens": 4455582.0,
+      "step": 2445
+    },
+    {
+      "entropy": 5.815389633178711,
+      "epoch": 2.0298260149130076,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048120946547568596,
+      "loss": 5.5375,
+      "mean_token_accuracy": 0.15604802072048188,
+      "num_tokens": 4464518.0,
+      "step": 2450
+    },
+    {
+      "entropy": 5.927202749252319,
+      "epoch": 2.0339685169842583,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00048108141410164133,
+      "loss": 5.6588,
+      "mean_token_accuracy": 0.14534952044486998,
+      "num_tokens": 4475031.0,
+      "step": 2455
+    },
+    {
+      "entropy": 5.8722837448120115,
+      "epoch": 2.0381110190555094,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004809529470388642,
+      "loss": 5.5396,
+      "mean_token_accuracy": 0.1577153742313385,
+      "num_tokens": 4484609.0,
+      "step": 2460
+    },
+    {
+      "entropy": 5.787671709060669,
+      "epoch": 2.0422535211267605,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004808240645464866,
+      "loss": 5.5698,
+      "mean_token_accuracy": 0.15477177649736404,
+      "num_tokens": 4494238.0,
+      "step": 2465
+    },
+    {
+      "entropy": 5.684235668182373,
+      "epoch": 2.0463960231980116,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004806947668844787,
+      "loss": 5.4573,
+      "mean_token_accuracy": 0.16172746568918228,
+      "num_tokens": 4503258.0,
+      "step": 2470
+    },
+    {
+      "entropy": 5.786364412307739,
+      "epoch": 2.0505385252692627,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00048056505431364794,
+      "loss": 5.5091,
+      "mean_token_accuracy": 0.15975141078233718,
+      "num_tokens": 4512071.0,
+      "step": 2475
+    },
+    {
+      "entropy": 5.736668491363526,
+      "epoch": 2.054681027340514,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00048043492709563877,
+      "loss": 5.3461,
+      "mean_token_accuracy": 0.17059434503316878,
+      "num_tokens": 4520219.0,
+      "step": 2480
+    },
+    {
+      "entropy": 5.672813034057617,
+      "epoch": 2.0588235294117645,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00048030438549293193,
+      "loss": 5.5568,
+      "mean_token_accuracy": 0.15284566581249237,
+      "num_tokens": 4529386.0,
+      "step": 2485
+    },
+    {
+      "entropy": 5.830966377258301,
+      "epoch": 2.0629660314830156,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00048017342976884424,
+      "loss": 5.5638,
+      "mean_token_accuracy": 0.15199215039610864,
+      "num_tokens": 4538860.0,
+      "step": 2490
+    },
+    {
+      "entropy": 5.761076402664185,
+      "epoch": 2.0671085335542667,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00048004206018752773,
+      "loss": 5.5299,
+      "mean_token_accuracy": 0.15335657596588134,
+      "num_tokens": 4547842.0,
+      "step": 2495
+    },
+    {
+      "entropy": 5.733208799362183,
+      "epoch": 2.071251035625518,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047991027701396895,
+      "loss": 5.5026,
+      "mean_token_accuracy": 0.15411428660154342,
+      "num_tokens": 4556238.0,
+      "step": 2500
+    },
+    {
+      "epoch": 2.071251035625518,
+      "eval_entropy": 5.642364594473768,
+      "eval_loss": 6.032641410827637,
+      "eval_mean_token_accuracy": 0.1416530203399882,
+      "eval_num_tokens": 4556238.0,
+      "eval_runtime": 2.7817,
+      "eval_samples_per_second": 1347.034,
+      "eval_steps_per_second": 168.604,
+      "step": 2500
+    },
+    {
+      "entropy": 5.732073068618774,
+      "epoch": 2.075393537696769,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004797780805139892,
+      "loss": 5.5069,
+      "mean_token_accuracy": 0.1587075412273407,
+      "num_tokens": 4565684.0,
+      "step": 2505
+    },
+    {
+      "entropy": 5.722462224960327,
+      "epoch": 2.07953603976802,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004796454709542432,
+      "loss": 5.467,
+      "mean_token_accuracy": 0.1590041533112526,
+      "num_tokens": 4575001.0,
+      "step": 2510
+    },
+    {
+      "entropy": 5.797696113586426,
+      "epoch": 2.083678541839271,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004795124486022189,
+      "loss": 5.5732,
+      "mean_token_accuracy": 0.15362634360790253,
+      "num_tokens": 4584128.0,
+      "step": 2515
+    },
+    {
+      "entropy": 5.711380529403686,
+      "epoch": 2.087821043910522,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047937901372623694,
+      "loss": 5.4191,
+      "mean_token_accuracy": 0.16894411891698838,
+      "num_tokens": 4593011.0,
+      "step": 2520
+    },
+    {
+      "entropy": 5.688450145721435,
+      "epoch": 2.091963545981773,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00047924516659545005,
+      "loss": 5.4668,
+      "mean_token_accuracy": 0.16164053976535797,
+      "num_tokens": 4602676.0,
+      "step": 2525
+    },
+    {
+      "entropy": 5.79151463508606,
+      "epoch": 2.096106048053024,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004791109074798425,
+      "loss": 5.5522,
+      "mean_token_accuracy": 0.15433578938245773,
+      "num_tokens": 4611915.0,
+      "step": 2530
+    },
+    {
+      "entropy": 5.748647403717041,
+      "epoch": 2.100248550124275,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004789762366502296,
+      "loss": 5.5184,
+      "mean_token_accuracy": 0.15959300100803375,
+      "num_tokens": 4621396.0,
+      "step": 2535
+    },
+    {
+      "entropy": 5.7374598503112795,
+      "epoch": 2.1043910521955262,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004788411543782571,
+      "loss": 5.5201,
+      "mean_token_accuracy": 0.1591552659869194,
+      "num_tokens": 4630533.0,
+      "step": 2540
+    },
+    {
+      "entropy": 5.678498649597168,
+      "epoch": 2.108533554266777,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.0004787056609364008,
+      "loss": 5.4599,
+      "mean_token_accuracy": 0.1542729303240776,
+      "num_tokens": 4639023.0,
+      "step": 2545
+    },
+    {
+      "entropy": 5.711474943161011,
+      "epoch": 2.112676056338028,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004785697565979657,
+      "loss": 5.4732,
+      "mean_token_accuracy": 0.15900285094976424,
+      "num_tokens": 4647975.0,
+      "step": 2550
+    },
+    {
+      "entropy": 5.72883243560791,
+      "epoch": 2.116818558409279,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004784334416370857,
+      "loss": 5.498,
+      "mean_token_accuracy": 0.15594277828931807,
+      "num_tokens": 4657555.0,
+      "step": 2555
+    },
+    {
+      "entropy": 5.745093822479248,
+      "epoch": 2.1209610604805302,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004782967163287231,
+      "loss": 5.4193,
+      "mean_token_accuracy": 0.16100153774023057,
+      "num_tokens": 4667228.0,
+      "step": 2560
+    },
+    {
+      "entropy": 5.716836738586426,
+      "epoch": 2.1251035625517813,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047815958094866756,
+      "loss": 5.4957,
+      "mean_token_accuracy": 0.1513967014849186,
+      "num_tokens": 4676723.0,
+      "step": 2565
+    },
+    {
+      "entropy": 5.7276163578033445,
+      "epoch": 2.1292460646230325,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004780220357735363,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.15479894131422042,
+      "num_tokens": 4686241.0,
+      "step": 2570
+    },
+    {
+      "entropy": 5.764811038970947,
+      "epoch": 2.1333885666942836,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047788408108077294,
+      "loss": 5.5404,
+      "mean_token_accuracy": 0.1561874568462372,
+      "num_tokens": 4695195.0,
+      "step": 2575
+    },
+    {
+      "entropy": 5.739376497268677,
+      "epoch": 2.1375310687655342,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004777457171486471,
+      "loss": 5.5871,
+      "mean_token_accuracy": 0.15551834553480148,
+      "num_tokens": 4704716.0,
+      "step": 2580
+    },
+    {
+      "entropy": 5.769967555999756,
+      "epoch": 2.1416735708367853,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004776069442562541,
+      "loss": 5.5562,
+      "mean_token_accuracy": 0.15339450240135194,
+      "num_tokens": 4713720.0,
+      "step": 2585
+    },
+    {
+      "entropy": 5.733342504501342,
+      "epoch": 2.1458160729080364,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004774677626835138,
+      "loss": 5.5366,
+      "mean_token_accuracy": 0.15301723331212996,
+      "num_tokens": 4722428.0,
+      "step": 2590
+    },
+    {
+      "entropy": 5.787648677825928,
+      "epoch": 2.1499585749792876,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00047732817271117084,
+      "loss": 5.5365,
+      "mean_token_accuracy": 0.15334974452853203,
+      "num_tokens": 4732395.0,
+      "step": 2595
+    },
+    {
+      "entropy": 5.773520803451538,
+      "epoch": 2.1541010770505387,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004771881746207934,
+      "loss": 5.5206,
+      "mean_token_accuracy": 0.15674114525318145,
+      "num_tokens": 4741071.0,
+      "step": 2600
+    },
+    {
+      "entropy": 5.607013797760009,
+      "epoch": 2.1582435791217898,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047704776869477285,
+      "loss": 5.5153,
+      "mean_token_accuracy": 0.15076877027750016,
+      "num_tokens": 4749876.0,
+      "step": 2605
+    },
+    {
+      "entropy": 5.784313154220581,
+      "epoch": 2.1623860811930404,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00047690695521632344,
+      "loss": 5.4669,
+      "mean_token_accuracy": 0.16002854704856873,
+      "num_tokens": 4758721.0,
+      "step": 2610
+    },
+    {
+      "entropy": 5.6919313907623295,
+      "epoch": 2.1665285832642915,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047676573446948114,
+      "loss": 5.4832,
+      "mean_token_accuracy": 0.15925751626491547,
+      "num_tokens": 4767162.0,
+      "step": 2615
+    },
+    {
+      "entropy": 5.71550760269165,
+      "epoch": 2.1706710853355426,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047662410673910376,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.1629578560590744,
+      "num_tokens": 4776397.0,
+      "step": 2620
+    },
+    {
+      "entropy": 5.665811157226562,
+      "epoch": 2.1748135874067938,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047648207231087,
+      "loss": 5.4579,
+      "mean_token_accuracy": 0.15894875824451446,
+      "num_tokens": 4784822.0,
+      "step": 2625
+    },
+    {
+      "entropy": 5.71003270149231,
+      "epoch": 2.178956089478045,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004763396314712786,
+      "loss": 5.5297,
+      "mean_token_accuracy": 0.15831661075353623,
+      "num_tokens": 4794272.0,
+      "step": 2630
+    },
+    {
+      "entropy": 5.64026665687561,
+      "epoch": 2.183098591549296,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004761967845076484,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.15510014593601226,
+      "num_tokens": 4804314.0,
+      "step": 2635
+    },
+    {
+      "entropy": 5.6847330093383786,
+      "epoch": 2.1872410936205466,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004760535317081174,
+      "loss": 5.4694,
+      "mean_token_accuracy": 0.15845878273248673,
+      "num_tokens": 4812685.0,
+      "step": 2640
+    },
+    {
+      "entropy": 5.715235567092895,
+      "epoch": 2.1913835956917977,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047590987336164207,
+      "loss": 5.5532,
+      "mean_token_accuracy": 0.1562129870057106,
+      "num_tokens": 4821761.0,
+      "step": 2645
+    },
+    {
+      "entropy": 5.741413831710815,
+      "epoch": 2.195526097763049,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00047576580975799705,
+      "loss": 5.5307,
+      "mean_token_accuracy": 0.1623195379972458,
+      "num_tokens": 4830515.0,
+      "step": 2650
+    },
+    {
+      "entropy": 5.782008934020996,
+      "epoch": 2.1996685998343,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004756213411877743,
+      "loss": 5.5059,
+      "mean_token_accuracy": 0.14879967421293258,
+      "num_tokens": 4840741.0,
+      "step": 2655
+    },
+    {
+      "entropy": 5.612497425079345,
+      "epoch": 2.203811101905551,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047547646794238277,
+      "loss": 5.453,
+      "mean_token_accuracy": 0.16198884546756745,
+      "num_tokens": 4849571.0,
+      "step": 2660
+    },
+    {
+      "entropy": 5.689143991470337,
+      "epoch": 2.207953603976802,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00047533119031404757,
+      "loss": 5.4138,
+      "mean_token_accuracy": 0.1696420982480049,
+      "num_tokens": 4857194.0,
+      "step": 2665
+    },
+    {
+      "entropy": 5.632621717453003,
+      "epoch": 2.212096106048053,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00047518550859580966,
+      "loss": 5.5074,
+      "mean_token_accuracy": 0.1592964008450508,
+      "num_tokens": 4865894.0,
+      "step": 2670
+    },
+    {
+      "entropy": 5.74289755821228,
+      "epoch": 2.216238608119304,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004750394230815249,
+      "loss": 5.5268,
+      "mean_token_accuracy": 0.15829544067382811,
+      "num_tokens": 4875131.0,
+      "step": 2675
+    },
+    {
+      "entropy": 5.670539522171021,
+      "epoch": 2.220381110190555,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047489293406586375,
+      "loss": 5.3777,
+      "mean_token_accuracy": 0.1620385766029358,
+      "num_tokens": 4884098.0,
+      "step": 2680
+    },
+    {
+      "entropy": 5.657269620895386,
+      "epoch": 2.224523612261806,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004747460418443106,
+      "loss": 5.4373,
+      "mean_token_accuracy": 0.15941016003489494,
+      "num_tokens": 4892963.0,
+      "step": 2685
+    },
+    {
+      "entropy": 5.690485191345215,
+      "epoch": 2.2286661143330573,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00047459874671316305,
+      "loss": 5.4903,
+      "mean_token_accuracy": 0.15749651044607163,
+      "num_tokens": 4902097.0,
+      "step": 2690
+    },
+    {
+      "entropy": 5.608357000350952,
+      "epoch": 2.2328086164043084,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00047445104896953153,
+      "loss": 5.4015,
+      "mean_token_accuracy": 0.16532779037952422,
+      "num_tokens": 4910469.0,
+      "step": 2695
+    },
+    {
+      "entropy": 5.82715744972229,
+      "epoch": 2.236951118475559,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047430294891133846,
+      "loss": 5.6892,
+      "mean_token_accuracy": 0.1501491665840149,
+      "num_tokens": 4921024.0,
+      "step": 2700
+    },
+    {
+      "entropy": 5.749764776229858,
+      "epoch": 2.24109362054681,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004741544468373179,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15474629402160645,
+      "num_tokens": 4930297.0,
+      "step": 2705
+    },
+    {
+      "entropy": 5.687776947021485,
+      "epoch": 2.2452361226180613,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00047400554304701474,
+      "loss": 5.4692,
+      "mean_token_accuracy": 0.16049361675977708,
+      "num_tokens": 4938971.0,
+      "step": 2710
+    },
+    {
+      "entropy": 5.571053695678711,
+      "epoch": 2.2493786246893124,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047385623784078427,
+      "loss": 5.4899,
+      "mean_token_accuracy": 0.15803302526474,
+      "num_tokens": 4948531.0,
+      "step": 2715
+    },
+    {
+      "entropy": 5.787879133224488,
+      "epoch": 2.2535211267605635,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004737065315197913,
+      "loss": 5.5664,
+      "mean_token_accuracy": 0.1587745025753975,
+      "num_tokens": 4957430.0,
+      "step": 2720
+    },
+    {
+      "entropy": 5.720958280563354,
+      "epoch": 2.2576636288318146,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047355642438600987,
+      "loss": 5.5478,
+      "mean_token_accuracy": 0.16044806241989135,
+      "num_tokens": 4966681.0,
+      "step": 2725
+    },
+    {
+      "entropy": 5.638753175735474,
+      "epoch": 2.2618061309030653,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004734059167422225,
+      "loss": 5.4123,
+      "mean_token_accuracy": 0.1639780133962631,
+      "num_tokens": 4975327.0,
+      "step": 2730
+    },
+    {
+      "entropy": 5.634887552261352,
+      "epoch": 2.2659486329743164,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047325500889201956,
+      "loss": 5.4725,
+      "mean_token_accuracy": 0.16207436099648476,
+      "num_tokens": 4983741.0,
+      "step": 2735
+    },
+    {
+      "entropy": 5.673438644409179,
+      "epoch": 2.2700911350455675,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004731037011397986,
+      "loss": 5.5662,
+      "mean_token_accuracy": 0.15884149968624114,
+      "num_tokens": 4993171.0,
+      "step": 2740
+    },
+    {
+      "entropy": 5.752307653427124,
+      "epoch": 2.2742336371168186,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047295199379076403,
+      "loss": 5.6,
+      "mean_token_accuracy": 0.15322241187095642,
+      "num_tokens": 5002810.0,
+      "step": 2745
+    },
+    {
+      "entropy": 5.7073346138000485,
+      "epoch": 2.2783761391880697,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000472799887150926,
+      "loss": 5.4893,
+      "mean_token_accuracy": 0.15741414427757264,
+      "num_tokens": 5011875.0,
+      "step": 2750
+    },
+    {
+      "entropy": 5.679959297180176,
+      "epoch": 2.282518641259321,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004726473815271003,
+      "loss": 5.5349,
+      "mean_token_accuracy": 0.15855301022529603,
+      "num_tokens": 5020780.0,
+      "step": 2755
+    },
+    {
+      "entropy": 5.669374132156372,
+      "epoch": 2.286661143330572,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00047249447722690747,
+      "loss": 5.4331,
+      "mean_token_accuracy": 0.16046710908412934,
+      "num_tokens": 5029896.0,
+      "step": 2760
+    },
+    {
+      "entropy": 5.652454280853272,
+      "epoch": 2.2908036454018226,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00047234117455877215,
+      "loss": 5.4932,
+      "mean_token_accuracy": 0.1545606277883053,
+      "num_tokens": 5038956.0,
+      "step": 2765
+    },
+    {
+      "entropy": 5.639697694778443,
+      "epoch": 2.2949461474730737,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004721874738319225,
+      "loss": 5.4594,
+      "mean_token_accuracy": 0.17258906960487366,
+      "num_tokens": 5047005.0,
+      "step": 2770
+    },
+    {
+      "entropy": 5.655842065811157,
+      "epoch": 2.299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0004720333753563898,
+      "loss": 5.5008,
+      "mean_token_accuracy": 0.15116662830114364,
+      "num_tokens": 5056475.0,
+      "step": 2775
+    },
+    {
+      "entropy": 5.704644584655762,
+      "epoch": 2.303231151615576,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00047187887944300747,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16439782381057738,
+      "num_tokens": 5064978.0,
+      "step": 2780
+    },
+    {
+      "entropy": 5.726413679122925,
+      "epoch": 2.307373653686827,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004717239864034107,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.15506226867437362,
+      "num_tokens": 5074235.0,
+      "step": 2785
+    },
+    {
+      "entropy": 5.662968683242798,
+      "epoch": 2.3115161557580777,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00047156869655003554,
+      "loss": 5.4481,
+      "mean_token_accuracy": 0.16141191571950914,
+      "num_tokens": 5082386.0,
+      "step": 2790
+    },
+    {
+      "entropy": 5.631324100494385,
+      "epoch": 2.315658657829329,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00047141301019611875,
+      "loss": 5.4164,
+      "mean_token_accuracy": 0.16636510640382768,
+      "num_tokens": 5090634.0,
+      "step": 2795
+    },
+    {
+      "entropy": 5.818879795074463,
+      "epoch": 2.31980115990058,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004712569276556967,
+      "loss": 5.5906,
+      "mean_token_accuracy": 0.14937217235565187,
+      "num_tokens": 5099003.0,
+      "step": 2800
+    },
+    {
+      "entropy": 5.617757177352905,
+      "epoch": 2.323943661971831,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00047110044924360484,
+      "loss": 5.6681,
+      "mean_token_accuracy": 0.1565680392086506,
+      "num_tokens": 5108631.0,
+      "step": 2805
+    },
+    {
+      "entropy": 5.732515859603882,
+      "epoch": 2.328086164043082,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00047094357527547725,
+      "loss": 5.4545,
+      "mean_token_accuracy": 0.15828853249549865,
+      "num_tokens": 5117309.0,
+      "step": 2810
+    },
+    {
+      "entropy": 5.686485624313354,
+      "epoch": 2.332228666114333,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004707863060677459,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.1627561032772064,
+      "num_tokens": 5126305.0,
+      "step": 2815
+    },
+    {
+      "entropy": 5.821760654449463,
+      "epoch": 2.3363711681855843,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00047062864193764,
+      "loss": 5.6022,
+      "mean_token_accuracy": 0.15580221712589265,
+      "num_tokens": 5135338.0,
+      "step": 2820
+    },
+    {
+      "entropy": 5.676449155807495,
+      "epoch": 2.340513670256835,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00047047058320318525,
+      "loss": 5.5298,
+      "mean_token_accuracy": 0.16162888556718827,
+      "num_tokens": 5144518.0,
+      "step": 2825
+    },
+    {
+      "entropy": 5.702890157699585,
+      "epoch": 2.344656172328086,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004703121301832034,
+      "loss": 5.6262,
+      "mean_token_accuracy": 0.15101130157709122,
+      "num_tokens": 5154102.0,
+      "step": 2830
+    },
+    {
+      "entropy": 5.7891247272491455,
+      "epoch": 2.348798674399337,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00047015328319731153,
+      "loss": 5.5642,
+      "mean_token_accuracy": 0.15612353384494781,
+      "num_tokens": 5163719.0,
+      "step": 2835
+    },
+    {
+      "entropy": 5.677855682373047,
+      "epoch": 2.3529411764705883,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004699940425659215,
+      "loss": 5.5247,
+      "mean_token_accuracy": 0.15519936084747316,
+      "num_tokens": 5173192.0,
+      "step": 2840
+    },
+    {
+      "entropy": 5.622324132919312,
+      "epoch": 2.3570836785418394,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00046983440861023877,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.1663823500275612,
+      "num_tokens": 5182438.0,
+      "step": 2845
+    },
+    {
+      "entropy": 5.699106454849243,
+      "epoch": 2.36122618061309,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046967438165226275,
+      "loss": 5.6015,
+      "mean_token_accuracy": 0.15352728664875032,
+      "num_tokens": 5191595.0,
+      "step": 2850
+    },
+    {
+      "entropy": 5.659265756607056,
+      "epoch": 2.365368682684341,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004695139620147851,
+      "loss": 5.4682,
+      "mean_token_accuracy": 0.1643056571483612,
+      "num_tokens": 5200174.0,
+      "step": 2855
+    },
+    {
+      "entropy": 5.713242053985596,
+      "epoch": 2.3695111847555923,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046935315002138994,
+      "loss": 5.5804,
+      "mean_token_accuracy": 0.15417435318231582,
+      "num_tokens": 5210454.0,
+      "step": 2860
+    },
+    {
+      "entropy": 5.727554702758789,
+      "epoch": 2.3736536868268434,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004691919459964525,
+      "loss": 5.5019,
+      "mean_token_accuracy": 0.16056040227413176,
+      "num_tokens": 5219243.0,
+      "step": 2865
+    },
+    {
+      "entropy": 5.5862212657928465,
+      "epoch": 2.3777961888980945,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046903035026513894,
+      "loss": 5.4319,
+      "mean_token_accuracy": 0.1613735228776932,
+      "num_tokens": 5228656.0,
+      "step": 2870
+    },
+    {
+      "entropy": 5.587289905548095,
+      "epoch": 2.3819386909693456,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004688683631534056,
+      "loss": 5.4859,
+      "mean_token_accuracy": 0.156366066634655,
+      "num_tokens": 5237807.0,
+      "step": 2875
+    },
+    {
+      "entropy": 5.775411653518677,
+      "epoch": 2.3860811930405967,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004687059849879981,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.1609719067811966,
+      "num_tokens": 5247432.0,
+      "step": 2880
+    },
+    {
+      "entropy": 5.597807741165161,
+      "epoch": 2.3902236951118474,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00046854321609645093,
+      "loss": 5.4145,
+      "mean_token_accuracy": 0.16111126840114592,
+      "num_tokens": 5256680.0,
+      "step": 2885
+    },
+    {
+      "entropy": 5.6380726337432865,
+      "epoch": 2.3943661971830985,
+      "grad_norm": 2.15625,
+      "learning_rate": 0.00046838005680708677,
+      "loss": 5.5296,
+      "mean_token_accuracy": 0.14821895360946655,
+      "num_tokens": 5266793.0,
+      "step": 2890
+    },
+    {
+      "entropy": 5.710390281677246,
+      "epoch": 2.3985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046821650744901573,
+      "loss": 5.4452,
+      "mean_token_accuracy": 0.15857197493314742,
+      "num_tokens": 5275028.0,
+      "step": 2895
+    },
+    {
+      "entropy": 5.598506593704224,
+      "epoch": 2.4026512013256007,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004680525683521347,
+      "loss": 5.5226,
+      "mean_token_accuracy": 0.1566852644085884,
+      "num_tokens": 5284162.0,
+      "step": 2900
+    },
+    {
+      "entropy": 5.757242631912232,
+      "epoch": 2.406793703396852,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004678882398471269,
+      "loss": 5.5911,
+      "mean_token_accuracy": 0.15474308133125306,
+      "num_tokens": 5293263.0,
+      "step": 2905
+    },
+    {
+      "entropy": 5.654598569869995,
+      "epoch": 2.4109362054681025,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046772352226546066,
+      "loss": 5.477,
+      "mean_token_accuracy": 0.1666618600487709,
+      "num_tokens": 5301373.0,
+      "step": 2910
+    },
+    {
+      "entropy": 5.643638467788696,
+      "epoch": 2.4150787075393536,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004675584159393895,
+      "loss": 5.5151,
+      "mean_token_accuracy": 0.15203802064061164,
+      "num_tokens": 5311009.0,
+      "step": 2915
+    },
+    {
+      "entropy": 5.699149656295776,
+      "epoch": 2.4192212096106047,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046739292120195083,
+      "loss": 5.5245,
+      "mean_token_accuracy": 0.16085631400346756,
+      "num_tokens": 5320341.0,
+      "step": 2920
+    },
+    {
+      "entropy": 5.642888498306275,
+      "epoch": 2.423363711681856,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004672270383869657,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1610630214214325,
+      "num_tokens": 5329250.0,
+      "step": 2925
+    },
+    {
+      "entropy": 5.62935357093811,
+      "epoch": 2.427506213753107,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004670607678290379,
+      "loss": 5.4471,
+      "mean_token_accuracy": 0.16571807861328125,
+      "num_tokens": 5336515.0,
+      "step": 2930
+    },
+    {
+      "entropy": 5.655415058135986,
+      "epoch": 2.431648715824358,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004668941098635532,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.1595415398478508,
+      "num_tokens": 5346043.0,
+      "step": 2935
+    },
+    {
+      "entropy": 5.642036104202271,
+      "epoch": 2.435791217895609,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00046672706482667897,
+      "loss": 5.4925,
+      "mean_token_accuracy": 0.15832271426916122,
+      "num_tokens": 5355124.0,
+      "step": 2940
+    },
+    {
+      "entropy": 5.647988367080688,
+      "epoch": 2.43993371996686,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004665596330553633,
+      "loss": 5.5051,
+      "mean_token_accuracy": 0.1597411409020424,
+      "num_tokens": 5364556.0,
+      "step": 2945
+    },
+    {
+      "entropy": 5.67459397315979,
+      "epoch": 2.444076222038111,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046639181488733445,
+      "loss": 5.5316,
+      "mean_token_accuracy": 0.15941161364316941,
+      "num_tokens": 5373778.0,
+      "step": 2950
+    },
+    {
+      "entropy": 5.725692987442017,
+      "epoch": 2.448218724109362,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004662236106610999,
+      "loss": 5.5123,
+      "mean_token_accuracy": 0.15816445648670197,
+      "num_tokens": 5382633.0,
+      "step": 2955
+    },
+    {
+      "entropy": 5.5606146335601805,
+      "epoch": 2.452361226180613,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00046605502071594604,
+      "loss": 5.4163,
+      "mean_token_accuracy": 0.16387673169374467,
+      "num_tokens": 5391442.0,
+      "step": 2960
+    },
+    {
+      "entropy": 5.569208765029908,
+      "epoch": 2.4565037282518642,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004658860453919371,
+      "loss": 5.4388,
+      "mean_token_accuracy": 0.1621423229575157,
+      "num_tokens": 5400504.0,
+      "step": 2965
+    },
+    {
+      "entropy": 5.587312078475952,
+      "epoch": 2.460646230323115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004657166850299149,
+      "loss": 5.4448,
+      "mean_token_accuracy": 0.16361159086227417,
+      "num_tokens": 5408939.0,
+      "step": 2970
+    },
+    {
+      "entropy": 5.629118537902832,
+      "epoch": 2.464788732394366,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004655469399714978,
+      "loss": 5.4722,
+      "mean_token_accuracy": 0.1575179159641266,
+      "num_tokens": 5418934.0,
+      "step": 2975
+    },
+    {
+      "entropy": 5.572103595733642,
+      "epoch": 2.468931234465617,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004653768105590799,
+      "loss": 5.4955,
+      "mean_token_accuracy": 0.16008511185646057,
+      "num_tokens": 5427894.0,
+      "step": 2980
+    },
+    {
+      "entropy": 5.683330011367798,
+      "epoch": 2.4730737365368682,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046520629713583115,
+      "loss": 5.5003,
+      "mean_token_accuracy": 0.1613202139735222,
+      "num_tokens": 5436830.0,
+      "step": 2985
+    },
+    {
+      "entropy": 5.597742080688477,
+      "epoch": 2.4772162386081193,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046503540004569555,
+      "loss": 5.4814,
+      "mean_token_accuracy": 0.16423845291137695,
+      "num_tokens": 5445504.0,
+      "step": 2990
+    },
+    {
+      "entropy": 5.679887342453003,
+      "epoch": 2.4813587406793705,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046486411963339125,
+      "loss": 5.5405,
+      "mean_token_accuracy": 0.15501321628689765,
+      "num_tokens": 5455378.0,
+      "step": 2995
+    },
+    {
+      "entropy": 5.712473011016845,
+      "epoch": 2.4855012427506216,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046469245624440955,
+      "loss": 5.6107,
+      "mean_token_accuracy": 0.1589423656463623,
+      "num_tokens": 5465334.0,
+      "step": 3000
+    },
+    {
+      "epoch": 2.4855012427506216,
+      "eval_entropy": 5.590163738234465,
+      "eval_loss": 5.965892314910889,
+      "eval_mean_token_accuracy": 0.14734836894947329,
+      "eval_num_tokens": 5465334.0,
+      "eval_runtime": 2.7526,
+      "eval_samples_per_second": 1361.234,
+      "eval_steps_per_second": 170.381,
+      "step": 3000
+    },
+    {
+      "entropy": 5.751126146316528,
+      "epoch": 2.4896437448218722,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046452041022501423,
+      "loss": 5.5858,
+      "mean_token_accuracy": 0.15555662512779236,
+      "num_tokens": 5475701.0,
+      "step": 3005
+    },
+    {
+      "entropy": 5.699931526184082,
+      "epoch": 2.4937862468931233,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004643479819222411,
+      "loss": 5.4828,
+      "mean_token_accuracy": 0.16229774355888366,
+      "num_tokens": 5485244.0,
+      "step": 3010
+    },
+    {
+      "entropy": 5.596950387954712,
+      "epoch": 2.4979287489643744,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046417517168389664,
+      "loss": 5.4434,
+      "mean_token_accuracy": 0.1682340309023857,
+      "num_tokens": 5493587.0,
+      "step": 3015
+    },
+    {
+      "entropy": 5.6203169345855715,
+      "epoch": 2.5020712510356256,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004640019798585581,
+      "loss": 5.58,
+      "mean_token_accuracy": 0.15738681554794312,
+      "num_tokens": 5503117.0,
+      "step": 3020
+    },
+    {
+      "entropy": 5.762682390213013,
+      "epoch": 2.5062137531068767,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00046382840679557233,
+      "loss": 5.5352,
+      "mean_token_accuracy": 0.16024575680494307,
+      "num_tokens": 5512742.0,
+      "step": 3025
+    },
+    {
+      "entropy": 5.647499704360962,
+      "epoch": 2.5103562551781273,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00046365445284505516,
+      "loss": 5.4968,
+      "mean_token_accuracy": 0.16166605204343795,
+      "num_tokens": 5521862.0,
+      "step": 3030
+    },
+    {
+      "entropy": 5.597900772094727,
+      "epoch": 2.5144987572493784,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.0004634801183578907,
+      "loss": 5.488,
+      "mean_token_accuracy": 0.1608501434326172,
+      "num_tokens": 5531244.0,
+      "step": 3035
+    },
+    {
+      "entropy": 5.655751419067383,
+      "epoch": 2.5186412593206295,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00046330540368573063,
+      "loss": 5.5329,
+      "mean_token_accuracy": 0.15176820158958435,
+      "num_tokens": 5540786.0,
+      "step": 3040
+    },
+    {
+      "entropy": 5.7291028022766115,
+      "epoch": 2.5227837613918807,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00046313030918099365,
+      "loss": 5.5224,
+      "mean_token_accuracy": 0.1602902241051197,
+      "num_tokens": 5549961.0,
+      "step": 3045
+    },
+    {
+      "entropy": 5.620108366012573,
+      "epoch": 2.5269262634631318,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00046295483519686437,
+      "loss": 5.4591,
+      "mean_token_accuracy": 0.16417455673217773,
+      "num_tokens": 5558941.0,
+      "step": 3050
+    },
+    {
+      "entropy": 5.644694232940674,
+      "epoch": 2.531068765534383,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046277898208729306,
+      "loss": 5.4673,
+      "mean_token_accuracy": 0.16716189235448836,
+      "num_tokens": 5567630.0,
+      "step": 3055
+    },
+    {
+      "entropy": 5.586954879760742,
+      "epoch": 2.535211267605634,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004626027502069947,
+      "loss": 5.4301,
+      "mean_token_accuracy": 0.16521373838186265,
+      "num_tokens": 5576430.0,
+      "step": 3060
+    },
+    {
+      "entropy": 5.650178289413452,
+      "epoch": 2.539353769676885,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00046242613991144814,
+      "loss": 5.5444,
+      "mean_token_accuracy": 0.1609214127063751,
+      "num_tokens": 5584785.0,
+      "step": 3065
+    },
+    {
+      "entropy": 5.585511493682861,
+      "epoch": 2.5434962717481358,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.00046224915155689586,
+      "loss": 5.478,
+      "mean_token_accuracy": 0.16044741719961167,
+      "num_tokens": 5594583.0,
+      "step": 3070
+    },
+    {
+      "entropy": 5.638197040557861,
+      "epoch": 2.547638773819387,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00046207178550034244,
+      "loss": 5.4306,
+      "mean_token_accuracy": 0.1608849883079529,
+      "num_tokens": 5603498.0,
+      "step": 3075
+    },
+    {
+      "entropy": 5.7161966323852536,
+      "epoch": 2.551781275890638,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004618940420995547,
+      "loss": 5.5685,
+      "mean_token_accuracy": 0.15440558269619942,
+      "num_tokens": 5613101.0,
+      "step": 3080
+    },
+    {
+      "entropy": 5.665849494934082,
+      "epoch": 2.555923777961889,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004617159217130606,
+      "loss": 5.5409,
+      "mean_token_accuracy": 0.1569191187620163,
+      "num_tokens": 5621821.0,
+      "step": 3085
+    },
+    {
+      "entropy": 5.711861181259155,
+      "epoch": 2.5600662800331397,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004615374247001483,
+      "loss": 5.5738,
+      "mean_token_accuracy": 0.15701586306095122,
+      "num_tokens": 5631006.0,
+      "step": 3090
+    },
+    {
+      "entropy": 5.674423551559448,
+      "epoch": 2.564208782104391,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004613585514208659,
+      "loss": 5.5295,
+      "mean_token_accuracy": 0.15232180580496787,
+      "num_tokens": 5640159.0,
+      "step": 3095
+    },
+    {
+      "entropy": 5.592060613632202,
+      "epoch": 2.568351284175642,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00046117930223602016,
+      "loss": 5.4003,
+      "mean_token_accuracy": 0.1694741129875183,
+      "num_tokens": 5648369.0,
+      "step": 3100
+    },
+    {
+      "entropy": 5.5982965469360355,
+      "epoch": 2.572493786246893,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004609996775071765,
+      "loss": 5.459,
+      "mean_token_accuracy": 0.1591326355934143,
+      "num_tokens": 5657669.0,
+      "step": 3105
+    },
+    {
+      "entropy": 5.56780686378479,
+      "epoch": 2.576636288318144,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004608196775966575,
+      "loss": 5.5319,
+      "mean_token_accuracy": 0.1610974356532097,
+      "num_tokens": 5666601.0,
+      "step": 3110
+    },
+    {
+      "entropy": 5.639773225784301,
+      "epoch": 2.5807787903893953,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046063930286754267,
+      "loss": 5.4465,
+      "mean_token_accuracy": 0.16618527621030807,
+      "num_tokens": 5675243.0,
+      "step": 3115
+    },
+    {
+      "entropy": 5.56855001449585,
+      "epoch": 2.5849212924606464,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00046045855368366756,
+      "loss": 5.466,
+      "mean_token_accuracy": 0.1630399063229561,
+      "num_tokens": 5683646.0,
+      "step": 3120
+    },
+    {
+      "entropy": 5.682586193084717,
+      "epoch": 2.5890637945318975,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.000460277430409623,
+      "loss": 5.5129,
+      "mean_token_accuracy": 0.17162407487630843,
+      "num_tokens": 5693069.0,
+      "step": 3125
+    },
+    {
+      "entropy": 5.587219524383545,
+      "epoch": 2.593206296603148,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00046009593341075444,
+      "loss": 5.3754,
+      "mean_token_accuracy": 0.16499391198158264,
+      "num_tokens": 5701527.0,
+      "step": 3130
+    },
+    {
+      "entropy": 5.561956834793091,
+      "epoch": 2.5973487986743993,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004599140630531612,
+      "loss": 5.5403,
+      "mean_token_accuracy": 0.15682477951049806,
+      "num_tokens": 5710379.0,
+      "step": 3135
+    },
+    {
+      "entropy": 5.69692587852478,
+      "epoch": 2.6014913007456504,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004597318197036956,
+      "loss": 5.4524,
+      "mean_token_accuracy": 0.1643553927540779,
+      "num_tokens": 5719217.0,
+      "step": 3140
+    },
+    {
+      "entropy": 5.629226970672607,
+      "epoch": 2.6056338028169015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0004595492037299624,
+      "loss": 5.5535,
+      "mean_token_accuracy": 0.16214104294776915,
+      "num_tokens": 5728331.0,
+      "step": 3145
+    },
+    {
+      "entropy": 5.608061027526856,
+      "epoch": 2.6097763048881526,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045936621550031806,
+      "loss": 5.5107,
+      "mean_token_accuracy": 0.16073764860630035,
+      "num_tokens": 5737696.0,
+      "step": 3150
+    },
+    {
+      "entropy": 5.731885099411011,
+      "epoch": 2.6139188069594033,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045918285538386973,
+      "loss": 5.578,
+      "mean_token_accuracy": 0.16164542436599733,
+      "num_tokens": 5746191.0,
+      "step": 3155
+    },
+    {
+      "entropy": 5.703127813339234,
+      "epoch": 2.6180613090306544,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00045899912375047485,
+      "loss": 5.5619,
+      "mean_token_accuracy": 0.1629435494542122,
+      "num_tokens": 5754824.0,
+      "step": 3160
+    },
+    {
+      "entropy": 5.638229656219482,
+      "epoch": 2.6222038111019055,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045881502097074023,
+      "loss": 5.537,
+      "mean_token_accuracy": 0.1518124133348465,
+      "num_tokens": 5764863.0,
+      "step": 3165
+    },
+    {
+      "entropy": 5.614318180084228,
+      "epoch": 2.6263463131731566,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004586305474160212,
+      "loss": 5.5459,
+      "mean_token_accuracy": 0.15642993301153182,
+      "num_tokens": 5774273.0,
+      "step": 3170
+    },
+    {
+      "entropy": 5.666326427459717,
+      "epoch": 2.6304888152444077,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045844570345842116,
+      "loss": 5.5044,
+      "mean_token_accuracy": 0.16042826995253562,
+      "num_tokens": 5784085.0,
+      "step": 3175
+    },
+    {
+      "entropy": 5.659371709823608,
+      "epoch": 2.634631317315659,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004582604894707906,
+      "loss": 5.5336,
+      "mean_token_accuracy": 0.16884370446205138,
+      "num_tokens": 5793921.0,
+      "step": 3180
+    },
+    {
+      "entropy": 5.664378356933594,
+      "epoch": 2.63877381938691,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00045807490582672634,
+      "loss": 5.4972,
+      "mean_token_accuracy": 0.15294444859027861,
+      "num_tokens": 5803902.0,
+      "step": 3185
+    },
+    {
+      "entropy": 5.542481708526611,
+      "epoch": 2.6429163214581606,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00045788895290057083,
+      "loss": 5.4129,
+      "mean_token_accuracy": 0.16788192689418793,
+      "num_tokens": 5812089.0,
+      "step": 3190
+    },
+    {
+      "entropy": 5.6802209377288815,
+      "epoch": 2.6470588235294117,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00045770263106741137,
+      "loss": 5.5784,
+      "mean_token_accuracy": 0.1578851893544197,
+      "num_tokens": 5821072.0,
+      "step": 3195
+    },
+    {
+      "entropy": 5.628516340255738,
+      "epoch": 2.651201325600663,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0004575159407030797,
+      "loss": 5.4029,
+      "mean_token_accuracy": 0.16388181746006011,
+      "num_tokens": 5829725.0,
+      "step": 3200
+    },
+    {
+      "entropy": 5.500157403945923,
+      "epoch": 2.655343827671914,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004573288821841505,
+      "loss": 5.4825,
+      "mean_token_accuracy": 0.16496249735355378,
+      "num_tokens": 5838153.0,
+      "step": 3205
+    },
+    {
+      "entropy": 5.616616106033325,
+      "epoch": 2.659486329743165,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004571414558879413,
+      "loss": 5.4409,
+      "mean_token_accuracy": 0.15448423773050307,
+      "num_tokens": 5847270.0,
+      "step": 3210
+    },
+    {
+      "entropy": 5.6490891456604,
+      "epoch": 2.6636288318144157,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004569536621925114,
+      "loss": 5.5472,
+      "mean_token_accuracy": 0.15474478006362916,
+      "num_tokens": 5855954.0,
+      "step": 3215
+    },
+    {
+      "entropy": 5.634416961669922,
+      "epoch": 2.667771333885667,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004567655014766612,
+      "loss": 5.4529,
+      "mean_token_accuracy": 0.16163208782672883,
+      "num_tokens": 5864435.0,
+      "step": 3220
+    },
+    {
+      "entropy": 5.624909925460815,
+      "epoch": 2.671913835956918,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004565769741199314,
+      "loss": 5.5135,
+      "mean_token_accuracy": 0.1572384186089039,
+      "num_tokens": 5873964.0,
+      "step": 3225
+    },
+    {
+      "entropy": 5.727962255477905,
+      "epoch": 2.676056338028169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045638808050260237,
+      "loss": 5.4648,
+      "mean_token_accuracy": 0.16628578454256057,
+      "num_tokens": 5882738.0,
+      "step": 3230
+    },
+    {
+      "entropy": 5.587652635574341,
+      "epoch": 2.68019884009942,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00045619882100569317,
+      "loss": 5.5925,
+      "mean_token_accuracy": 0.15854242593050002,
+      "num_tokens": 5891749.0,
+      "step": 3235
+    },
+    {
+      "entropy": 5.627515649795532,
+      "epoch": 2.684341342170671,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004560091960109608,
+      "loss": 5.5372,
+      "mean_token_accuracy": 0.15811603218317033,
+      "num_tokens": 5900551.0,
+      "step": 3240
+    },
+    {
+      "entropy": 5.661735343933105,
+      "epoch": 2.6884838442419223,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004558192059008996,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.1517203629016876,
+      "num_tokens": 5909254.0,
+      "step": 3245
+    },
+    {
+      "entropy": 5.599635648727417,
+      "epoch": 2.692626346313173,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004556288510587406,
+      "loss": 5.4987,
+      "mean_token_accuracy": 0.15817683488130568,
+      "num_tokens": 5918357.0,
+      "step": 3250
+    },
+    {
+      "entropy": 5.662895679473877,
+      "epoch": 2.696768848384424,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00045543813186845004,
+      "loss": 5.5021,
+      "mean_token_accuracy": 0.15579704195261002,
+      "num_tokens": 5927742.0,
+      "step": 3255
+    },
+    {
+      "entropy": 5.627440690994263,
+      "epoch": 2.700911350455675,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004552470487147294,
+      "loss": 5.5823,
+      "mean_token_accuracy": 0.1556493915617466,
+      "num_tokens": 5937025.0,
+      "step": 3260
+    },
+    {
+      "entropy": 5.70678014755249,
+      "epoch": 2.7050538525269263,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045505560198301443,
+      "loss": 5.5615,
+      "mean_token_accuracy": 0.15135139375925064,
+      "num_tokens": 5946176.0,
+      "step": 3265
+    },
+    {
+      "entropy": 5.659924745559692,
+      "epoch": 2.7091963545981774,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045486379205947396,
+      "loss": 5.5233,
+      "mean_token_accuracy": 0.1584411159157753,
+      "num_tokens": 5955550.0,
+      "step": 3270
+    },
+    {
+      "entropy": 5.594695281982422,
+      "epoch": 2.713338856669428,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004546716193310098,
+      "loss": 5.4541,
+      "mean_token_accuracy": 0.1651945412158966,
+      "num_tokens": 5964467.0,
+      "step": 3275
+    },
+    {
+      "entropy": 5.605531787872314,
+      "epoch": 2.717481358740679,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.000454479084185255,
+      "loss": 5.4855,
+      "mean_token_accuracy": 0.1514287754893303,
+      "num_tokens": 5973906.0,
+      "step": 3280
+    },
+    {
+      "entropy": 5.696796035766601,
+      "epoch": 2.7216238608119303,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004542861870105743,
+      "loss": 5.5345,
+      "mean_token_accuracy": 0.15694239139556884,
+      "num_tokens": 5983701.0,
+      "step": 3285
+    },
+    {
+      "entropy": 5.623150444030761,
+      "epoch": 2.7257663628831814,
+      "grad_norm": 1.0546875,
+      "learning_rate": 0.00045409292819606224,
+      "loss": 5.4971,
+      "mean_token_accuracy": 0.16068210303783417,
+      "num_tokens": 5993367.0,
+      "step": 3290
+    },
+    {
+      "entropy": 5.646857404708863,
+      "epoch": 2.7299088649544325,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.00045389930813154297,
+      "loss": 5.4519,
+      "mean_token_accuracy": 0.16334805637598038,
+      "num_tokens": 6003752.0,
+      "step": 3295
+    },
+    {
+      "entropy": 5.675233459472656,
+      "epoch": 2.7340513670256836,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004537053272075693,
+      "loss": 5.5263,
+      "mean_token_accuracy": 0.1621565416455269,
+      "num_tokens": 6012486.0,
+      "step": 3300
+    },
+    {
+      "entropy": 5.5136041164398195,
+      "epoch": 2.7381938690969347,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045351098581542204,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.163838130235672,
+      "num_tokens": 6020742.0,
+      "step": 3305
+    },
+    {
+      "entropy": 5.646917295455933,
+      "epoch": 2.742336371168186,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004533162843471089,
+      "loss": 5.5009,
+      "mean_token_accuracy": 0.15474170595407485,
+      "num_tokens": 6030248.0,
+      "step": 3310
+    },
+    {
+      "entropy": 5.632185411453247,
+      "epoch": 2.7464788732394365,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004531212231953641,
+      "loss": 5.5436,
+      "mean_token_accuracy": 0.15157791674137117,
+      "num_tokens": 6039293.0,
+      "step": 3315
+    },
+    {
+      "entropy": 5.587828540802002,
+      "epoch": 2.7506213753106876,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004529258027536473,
+      "loss": 5.4134,
+      "mean_token_accuracy": 0.16378402560949326,
+      "num_tokens": 6048081.0,
+      "step": 3320
+    },
+    {
+      "entropy": 5.673684549331665,
+      "epoch": 2.7547638773819387,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004527300234161428,
+      "loss": 5.5753,
+      "mean_token_accuracy": 0.15969255268573762,
+      "num_tokens": 6057549.0,
+      "step": 3325
+    },
+    {
+      "entropy": 5.646554040908813,
+      "epoch": 2.75890637945319,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004525338855777591,
+      "loss": 5.5589,
+      "mean_token_accuracy": 0.15469738617539405,
+      "num_tokens": 6067372.0,
+      "step": 3330
+    },
+    {
+      "entropy": 5.595069122314453,
+      "epoch": 2.7630488815244405,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00045233738963412746,
+      "loss": 5.4181,
+      "mean_token_accuracy": 0.1717814713716507,
+      "num_tokens": 6075532.0,
+      "step": 3335
+    },
+    {
+      "entropy": 5.5924467086792,
+      "epoch": 2.7671913835956916,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00045214053598160173,
+      "loss": 5.4439,
+      "mean_token_accuracy": 0.16404369622468948,
+      "num_tokens": 6084389.0,
+      "step": 3340
+    },
+    {
+      "entropy": 5.598109579086303,
+      "epoch": 2.7713338856669427,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00045194332501725725,
+      "loss": 5.4706,
+      "mean_token_accuracy": 0.16428767740726472,
+      "num_tokens": 6093536.0,
+      "step": 3345
+    },
+    {
+      "entropy": 5.637304496765137,
+      "epoch": 2.775476387738194,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00045174575713889014,
+      "loss": 5.5167,
+      "mean_token_accuracy": 0.16573925465345382,
+      "num_tokens": 6102677.0,
+      "step": 3350
+    },
+    {
+      "entropy": 5.677533674240112,
+      "epoch": 2.779618889809445,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0004515478327450164,
+      "loss": 5.5926,
+      "mean_token_accuracy": 0.156404609978199,
+      "num_tokens": 6112430.0,
+      "step": 3355
+    },
+    {
+      "entropy": 5.643227863311767,
+      "epoch": 2.783761391880696,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00045134955223487093,
+      "loss": 5.4889,
+      "mean_token_accuracy": 0.16630716919898986,
+      "num_tokens": 6121408.0,
+      "step": 3360
+    },
+    {
+      "entropy": 5.57972674369812,
+      "epoch": 2.787903893951947,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00045115091600840757,
+      "loss": 5.5188,
+      "mean_token_accuracy": 0.15800442099571227,
+      "num_tokens": 6131339.0,
+      "step": 3365
+    },
+    {
+      "entropy": 5.624274778366089,
+      "epoch": 2.7920463960231983,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00045095192446629697,
+      "loss": 5.4816,
+      "mean_token_accuracy": 0.16174803227186202,
+      "num_tokens": 6140590.0,
+      "step": 3370
+    },
+    {
+      "entropy": 5.704814815521241,
+      "epoch": 2.796188898094449,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000450752578009927,
+      "loss": 5.5621,
+      "mean_token_accuracy": 0.1653067871928215,
+      "num_tokens": 6149958.0,
+      "step": 3375
+    },
+    {
+      "entropy": 5.58657054901123,
+      "epoch": 2.8003314001657,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00045055287704140115,
+      "loss": 5.4346,
+      "mean_token_accuracy": 0.15949429720640182,
+      "num_tokens": 6159411.0,
+      "step": 3380
+    },
+    {
+      "entropy": 5.595387983322143,
+      "epoch": 2.804473902236951,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004503528219635381,
+      "loss": 5.5138,
+      "mean_token_accuracy": 0.1545591250061989,
+      "num_tokens": 6169264.0,
+      "step": 3385
+    },
+    {
+      "entropy": 5.617677021026611,
+      "epoch": 2.8086164043082023,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004501524131798709,
+      "loss": 5.4826,
+      "mean_token_accuracy": 0.16332829892635345,
+      "num_tokens": 6178374.0,
+      "step": 3390
+    },
+    {
+      "entropy": 5.7183191776275635,
+      "epoch": 2.812758906379453,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.000449951651094646,
+      "loss": 5.4697,
+      "mean_token_accuracy": 0.15537519603967667,
+      "num_tokens": 6186918.0,
+      "step": 3395
+    },
+    {
+      "entropy": 5.566522169113159,
+      "epoch": 2.816901408450704,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044975053611282217,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.1613329365849495,
+      "num_tokens": 6196400.0,
+      "step": 3400
+    },
+    {
+      "entropy": 5.514105558395386,
+      "epoch": 2.821043910521955,
+      "grad_norm": 1.109375,
+      "learning_rate": 0.0004495490686400706,
+      "loss": 5.3941,
+      "mean_token_accuracy": 0.1649619847536087,
+      "num_tokens": 6204849.0,
+      "step": 3405
+    },
+    {
+      "entropy": 5.615210485458374,
+      "epoch": 2.8251864125932062,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00044934724908277313,
+      "loss": 5.4834,
+      "mean_token_accuracy": 0.16362717300653457,
+      "num_tokens": 6214121.0,
+      "step": 3410
+    },
+    {
+      "entropy": 5.654720067977905,
+      "epoch": 2.8293289146644574,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044914507784802184,
+      "loss": 5.4835,
+      "mean_token_accuracy": 0.16509974151849746,
+      "num_tokens": 6223163.0,
+      "step": 3415
+    },
+    {
+      "entropy": 5.641624307632446,
+      "epoch": 2.8334714167357085,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004489425553436182,
+      "loss": 5.5084,
+      "mean_token_accuracy": 0.15882937759160995,
+      "num_tokens": 6231581.0,
+      "step": 3420
+    },
+    {
+      "entropy": 5.659383153915405,
+      "epoch": 2.8376139188069596,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00044873968197807213,
+      "loss": 5.5838,
+      "mean_token_accuracy": 0.1599879801273346,
+      "num_tokens": 6240015.0,
+      "step": 3425
+    },
+    {
+      "entropy": 5.666435050964355,
+      "epoch": 2.8417564208782107,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044853645816060156,
+      "loss": 5.5979,
+      "mean_token_accuracy": 0.1532062940299511,
+      "num_tokens": 6249083.0,
+      "step": 3430
+    },
+    {
+      "entropy": 5.6627098560333256,
+      "epoch": 2.8458989229494613,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00044833288430113104,
+      "loss": 5.5496,
+      "mean_token_accuracy": 0.1654196172952652,
+      "num_tokens": 6258798.0,
+      "step": 3435
+    },
+    {
+      "entropy": 5.609176588058472,
+      "epoch": 2.8500414250207124,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00044812896081029136,
+      "loss": 5.4023,
+      "mean_token_accuracy": 0.16617698073387147,
+      "num_tokens": 6267819.0,
+      "step": 3440
+    },
+    {
+      "entropy": 5.626215600967408,
+      "epoch": 2.8541839270919636,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004479246880994183,
+      "loss": 5.4804,
+      "mean_token_accuracy": 0.15876610353589057,
+      "num_tokens": 6276915.0,
+      "step": 3445
+    },
+    {
+      "entropy": 5.627827167510986,
+      "epoch": 2.8583264291632147,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0004477200665805525,
+      "loss": 5.5216,
+      "mean_token_accuracy": 0.15861138105392455,
+      "num_tokens": 6285880.0,
+      "step": 3450
+    },
+    {
+      "entropy": 5.6323963642120365,
+      "epoch": 2.8624689312344658,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00044751509666643777,
+      "loss": 5.6351,
+      "mean_token_accuracy": 0.14970673844218255,
+      "num_tokens": 6295408.0,
+      "step": 3455
+    },
+    {
+      "entropy": 5.6166990280151365,
+      "epoch": 2.8666114333057164,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044730977877052084,
+      "loss": 5.3753,
+      "mean_token_accuracy": 0.16562075018882752,
+      "num_tokens": 6304110.0,
+      "step": 3460
+    },
+    {
+      "entropy": 5.669659185409546,
+      "epoch": 2.8707539353769675,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00044710411330695045,
+      "loss": 5.5254,
+      "mean_token_accuracy": 0.15842530727386475,
+      "num_tokens": 6312577.0,
+      "step": 3465
+    },
+    {
+      "entropy": 5.738371801376343,
+      "epoch": 2.8748964374482187,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.00044689810069057615,
+      "loss": 5.606,
+      "mean_token_accuracy": 0.15023296922445298,
+      "num_tokens": 6321766.0,
+      "step": 3470
+    },
+    {
+      "entropy": 5.642851161956787,
+      "epoch": 2.8790389395194698,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004466917413369479,
+      "loss": 5.5731,
+      "mean_token_accuracy": 0.151870658993721,
+      "num_tokens": 6330327.0,
+      "step": 3475
+    },
+    {
+      "entropy": 5.577242517471314,
+      "epoch": 2.883181441590721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004464850356623152,
+      "loss": 5.4926,
+      "mean_token_accuracy": 0.16011006087064744,
+      "num_tokens": 6339596.0,
+      "step": 3480
+    },
+    {
+      "entropy": 5.613158226013184,
+      "epoch": 2.887323943661972,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00044627798408362597,
+      "loss": 5.3986,
+      "mean_token_accuracy": 0.1670537531375885,
+      "num_tokens": 6348080.0,
+      "step": 3485
+    },
+    {
+      "entropy": 5.613135099411011,
+      "epoch": 2.891466445733223,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004460705870185258,
+      "loss": 5.5277,
+      "mean_token_accuracy": 0.15435466170310974,
+      "num_tokens": 6357725.0,
+      "step": 3490
+    },
+    {
+      "entropy": 5.627930736541748,
+      "epoch": 2.8956089478044738,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004458628448853572,
+      "loss": 5.4831,
+      "mean_token_accuracy": 0.16073092967271804,
+      "num_tokens": 6366821.0,
+      "step": 3495
+    },
+    {
+      "entropy": 5.729347085952758,
+      "epoch": 2.899751449875725,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004456547581031589,
+      "loss": 5.5357,
+      "mean_token_accuracy": 0.15560299083590506,
+      "num_tokens": 6375641.0,
+      "step": 3500
+    },
+    {
+      "epoch": 2.899751449875725,
+      "eval_entropy": 5.414937326394673,
+      "eval_loss": 5.899942874908447,
+      "eval_mean_token_accuracy": 0.15183768343569629,
+      "eval_num_tokens": 6375641.0,
+      "eval_runtime": 2.9583,
+      "eval_samples_per_second": 1266.605,
+      "eval_steps_per_second": 158.537,
+      "step": 3500
+    },
+    {
+      "entropy": 5.548971128463745,
+      "epoch": 2.903893951946976,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004454463270916646,
+      "loss": 5.404,
+      "mean_token_accuracy": 0.1680065542459488,
+      "num_tokens": 6384596.0,
+      "step": 3505
+    },
+    {
+      "entropy": 5.719941425323486,
+      "epoch": 2.908036454018227,
+      "grad_norm": 1.1328125,
+      "learning_rate": 0.0004452375522713023,
+      "loss": 5.7474,
+      "mean_token_accuracy": 0.14030246064066887,
+      "num_tokens": 6395048.0,
+      "step": 3510
+    },
+    {
+      "entropy": 5.643452119827271,
+      "epoch": 2.912178956089478,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004450284340631938,
+      "loss": 5.5762,
+      "mean_token_accuracy": 0.15520212948322296,
+      "num_tokens": 6404828.0,
+      "step": 3515
+    },
+    {
+      "entropy": 5.627139854431152,
+      "epoch": 2.916321458160729,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044481897288915334,
+      "loss": 5.4626,
+      "mean_token_accuracy": 0.16042221039533616,
+      "num_tokens": 6414670.0,
+      "step": 3520
+    },
+    {
+      "entropy": 5.474701166152954,
+      "epoch": 2.92046396023198,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044460916917168697,
+      "loss": 5.3896,
+      "mean_token_accuracy": 0.16453512459993364,
+      "num_tokens": 6423446.0,
+      "step": 3525
+    },
+    {
+      "entropy": 5.5396312236785885,
+      "epoch": 2.924606462303231,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.0004443990233339918,
+      "loss": 5.4655,
+      "mean_token_accuracy": 0.1552535504102707,
+      "num_tokens": 6433412.0,
+      "step": 3530
+    },
+    {
+      "entropy": 5.652051544189453,
+      "epoch": 2.928748964374482,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.0004441885357999548,
+      "loss": 5.444,
+      "mean_token_accuracy": 0.1643453508615494,
+      "num_tokens": 6443520.0,
+      "step": 3535
+    },
+    {
+      "entropy": 5.674185514450073,
+      "epoch": 2.9328914664457333,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004439777069941524,
+      "loss": 5.5527,
+      "mean_token_accuracy": 0.15431721061468123,
+      "num_tokens": 6452933.0,
+      "step": 3540
+    },
+    {
+      "entropy": 5.550513553619385,
+      "epoch": 2.9370339685169844,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00044376653734184935,
+      "loss": 5.3908,
+      "mean_token_accuracy": 0.16788479536771775,
+      "num_tokens": 6462113.0,
+      "step": 3545
+    },
+    {
+      "entropy": 5.468146800994873,
+      "epoch": 2.9411764705882355,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004435550272689979,
+      "loss": 5.4246,
+      "mean_token_accuracy": 0.16583772748708725,
+      "num_tokens": 6471411.0,
+      "step": 3550
+    },
+    {
+      "entropy": 5.662385082244873,
+      "epoch": 2.945318972659486,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00044334317720223706,
+      "loss": 5.532,
+      "mean_token_accuracy": 0.1599032275378704,
+      "num_tokens": 6480682.0,
+      "step": 3555
+    },
+    {
+      "entropy": 5.678339672088623,
+      "epoch": 2.9494614747307373,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00044313098756889154,
+      "loss": 5.5754,
+      "mean_token_accuracy": 0.15587076246738435,
+      "num_tokens": 6490614.0,
+      "step": 3560
+    },
+    {
+      "entropy": 5.585533094406128,
+      "epoch": 2.9536039768019884,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004429184587969708,
+      "loss": 5.4273,
+      "mean_token_accuracy": 0.16405707746744155,
+      "num_tokens": 6499079.0,
+      "step": 3565
+    },
+    {
+      "entropy": 5.668995666503906,
+      "epoch": 2.9577464788732395,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004427055913151689,
+      "loss": 5.5561,
+      "mean_token_accuracy": 0.14727827310562133,
+      "num_tokens": 6508556.0,
+      "step": 3570
+    },
+    {
+      "entropy": 5.70610499382019,
+      "epoch": 2.9618889809444906,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0004424923855528626,
+      "loss": 5.5411,
+      "mean_token_accuracy": 0.15901169627904893,
+      "num_tokens": 6517934.0,
+      "step": 3575
+    },
+    {
+      "entropy": 5.614701509475708,
+      "epoch": 2.9660314830157413,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004422788419401114,
+      "loss": 5.4321,
+      "mean_token_accuracy": 0.1702651560306549,
+      "num_tokens": 6526995.0,
+      "step": 3580
+    },
+    {
+      "entropy": 5.572284936904907,
+      "epoch": 2.9701739850869924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00044206496090765595,
+      "loss": 5.4896,
+      "mean_token_accuracy": 0.1573972523212433,
+      "num_tokens": 6535264.0,
+      "step": 3585
+    },
+    {
+      "entropy": 5.610080623626709,
+      "epoch": 2.9743164871582435,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00044185074288691776,
+      "loss": 5.3994,
+      "mean_token_accuracy": 0.1746336281299591,
+      "num_tokens": 6544498.0,
+      "step": 3590
+    },
+    {
+      "entropy": 5.582769393920898,
+      "epoch": 2.9784589892294946,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00044163618830999794,
+      "loss": 5.5098,
+      "mean_token_accuracy": 0.16030704230070114,
+      "num_tokens": 6554761.0,
+      "step": 3595
+    },
+    {
+      "entropy": 5.603819417953491,
+      "epoch": 2.9826014913007457,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00044142129760967643,
+      "loss": 5.5614,
+      "mean_token_accuracy": 0.15714355707168579,
+      "num_tokens": 6564039.0,
+      "step": 3600
+    },
+    {
+      "entropy": 5.679829835891724,
+      "epoch": 2.986743993371997,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004412060712194115,
+      "loss": 5.5068,
+      "mean_token_accuracy": 0.15993095487356185,
+      "num_tokens": 6572559.0,
+      "step": 3605
+    },
+    {
+      "entropy": 5.589264869689941,
+      "epoch": 2.990886495443248,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004409905095733381,
+      "loss": 5.4931,
+      "mean_token_accuracy": 0.1612076446413994,
+      "num_tokens": 6581621.0,
+      "step": 3610
+    },
+    {
+      "entropy": 5.550649166107178,
+      "epoch": 2.995028997514499,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00044077461310626764,
+      "loss": 5.4721,
+      "mean_token_accuracy": 0.15403861105442046,
+      "num_tokens": 6590353.0,
+      "step": 3615
+    },
+    {
+      "entropy": 5.64892258644104,
+      "epoch": 2.9991714995857497,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000440558382253687,
+      "loss": 5.4575,
+      "mean_token_accuracy": 0.16497674435377122,
+      "num_tokens": 6598822.0,
+      "step": 3620
+    },
+    {
+      "entropy": 5.5967165470123295,
+      "epoch": 3.003314001657001,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004403418174517573,
+      "loss": 5.2529,
+      "mean_token_accuracy": 0.16683556884527206,
+      "num_tokens": 6606728.0,
+      "step": 3625
+    },
+    {
+      "entropy": 5.599476623535156,
+      "epoch": 3.007456503728252,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00044012491913731353,
+      "loss": 5.1756,
+      "mean_token_accuracy": 0.1743481546640396,
+      "num_tokens": 6616226.0,
+      "step": 3630
+    },
+    {
+      "entropy": 5.5095573425292965,
+      "epoch": 3.011599005799503,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004399076877478632,
+      "loss": 5.0266,
+      "mean_token_accuracy": 0.1868550017476082,
+      "num_tokens": 6624801.0,
+      "step": 3635
+    },
+    {
+      "entropy": 5.60879430770874,
+      "epoch": 3.015741507870754,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0004396901237215858,
+      "loss": 5.2209,
+      "mean_token_accuracy": 0.16688485741615294,
+      "num_tokens": 6633043.0,
+      "step": 3640
+    },
+    {
+      "entropy": 5.538025426864624,
+      "epoch": 3.019884009942005,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043947222749733173,
+      "loss": 5.1692,
+      "mean_token_accuracy": 0.17499702274799347,
+      "num_tokens": 6641197.0,
+      "step": 3645
+    },
+    {
+      "entropy": 5.586767101287842,
+      "epoch": 3.024026512013256,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00043925399951462153,
+      "loss": 5.2064,
+      "mean_token_accuracy": 0.1801098555326462,
+      "num_tokens": 6650411.0,
+      "step": 3650
+    },
+    {
+      "entropy": 5.4191618919372555,
+      "epoch": 3.028169014084507,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004390354402136449,
+      "loss": 5.0903,
+      "mean_token_accuracy": 0.17804521024227143,
+      "num_tokens": 6659405.0,
+      "step": 3655
+    },
+    {
+      "entropy": 5.583788824081421,
+      "epoch": 3.032311516155758,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0004388165500352597,
+      "loss": 5.1642,
+      "mean_token_accuracy": 0.17557908743619918,
+      "num_tokens": 6667701.0,
+      "step": 3660
+    },
+    {
+      "entropy": 5.614604902267456,
+      "epoch": 3.036454018227009,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004385973294209915,
+      "loss": 5.1881,
+      "mean_token_accuracy": 0.17808027267456056,
+      "num_tokens": 6676801.0,
+      "step": 3665
+    },
+    {
+      "entropy": 5.457578706741333,
+      "epoch": 3.0405965202982603,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004383777788130321,
+      "loss": 5.083,
+      "mean_token_accuracy": 0.17836775481700898,
+      "num_tokens": 6686005.0,
+      "step": 3670
+    },
+    {
+      "entropy": 5.479088068008423,
+      "epoch": 3.044739022369511,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004381578986542393,
+      "loss": 5.0937,
+      "mean_token_accuracy": 0.17960153371095658,
+      "num_tokens": 6694884.0,
+      "step": 3675
+    },
+    {
+      "entropy": 5.501745700836182,
+      "epoch": 3.048881524440762,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004379376893881352,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.17827630788087845,
+      "num_tokens": 6703476.0,
+      "step": 3680
+    },
+    {
+      "entropy": 5.616245269775391,
+      "epoch": 3.053024026512013,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004377171514589059,
+      "loss": 5.2531,
+      "mean_token_accuracy": 0.1736731931567192,
+      "num_tokens": 6712576.0,
+      "step": 3685
+    },
+    {
+      "entropy": 5.398316955566406,
+      "epoch": 3.0571665285832643,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004374962853114007,
+      "loss": 5.0545,
+      "mean_token_accuracy": 0.18062082678079605,
+      "num_tokens": 6721532.0,
+      "step": 3690
+    },
+    {
+      "entropy": 5.480774354934693,
+      "epoch": 3.0613090306545154,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004372750913911306,
+      "loss": 5.1028,
+      "mean_token_accuracy": 0.18300070911645888,
+      "num_tokens": 6730055.0,
+      "step": 3695
+    },
+    {
+      "entropy": 5.446919918060303,
+      "epoch": 3.0654515327257665,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0004370535701442679,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.17969694286584853,
+      "num_tokens": 6739310.0,
+      "step": 3700
+    },
+    {
+      "entropy": 5.54828953742981,
+      "epoch": 3.069594034797017,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043683172201764537,
+      "loss": 5.2581,
+      "mean_token_accuracy": 0.16716694980859756,
+      "num_tokens": 6748976.0,
+      "step": 3705
+    },
+    {
+      "entropy": 5.539231872558593,
+      "epoch": 3.0737365368682683,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004366095474587547,
+      "loss": 5.1044,
+      "mean_token_accuracy": 0.17598106861114501,
+      "num_tokens": 6758043.0,
+      "step": 3710
+    },
+    {
+      "entropy": 5.500854778289795,
+      "epoch": 3.0778790389395194,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00043638704691574646,
+      "loss": 5.163,
+      "mean_token_accuracy": 0.1786232903599739,
+      "num_tokens": 6767554.0,
+      "step": 3715
+    },
+    {
+      "entropy": 5.560473966598511,
+      "epoch": 3.0820215410107705,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0004361642208374283,
+      "loss": 5.1882,
+      "mean_token_accuracy": 0.1666739672422409,
+      "num_tokens": 6776161.0,
+      "step": 3720
+    },
+    {
+      "entropy": 5.476630401611328,
+      "epoch": 3.0861640430820216,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043594106967326495,
+      "loss": 5.1169,
+      "mean_token_accuracy": 0.17555084377527236,
+      "num_tokens": 6785371.0,
+      "step": 3725
+    },
+    {
+      "entropy": 5.494755983352661,
+      "epoch": 3.0903065451532727,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00043571759387337665,
+      "loss": 5.1456,
+      "mean_token_accuracy": 0.1808715656399727,
+      "num_tokens": 6795242.0,
+      "step": 3730
+    },
+    {
+      "entropy": 5.591760492324829,
+      "epoch": 3.0944490472245234,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004354937938885385,
+      "loss": 5.2235,
+      "mean_token_accuracy": 0.17338325083255768,
+      "num_tokens": 6805423.0,
+      "step": 3735
+    },
+    {
+      "entropy": 5.464981889724731,
+      "epoch": 3.0985915492957745,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004352696701701796,
+      "loss": 5.1469,
+      "mean_token_accuracy": 0.17880967408418655,
+      "num_tokens": 6814377.0,
+      "step": 3740
+    },
+    {
+      "entropy": 5.448660278320313,
+      "epoch": 3.1027340513670256,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004350452231703819,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.18132367432117463,
+      "num_tokens": 6824025.0,
+      "step": 3745
+    },
+    {
+      "entropy": 5.550149536132812,
+      "epoch": 3.1068765534382767,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00043482045334187954,
+      "loss": 5.1273,
+      "mean_token_accuracy": 0.18649032860994338,
+      "num_tokens": 6833071.0,
+      "step": 3750
+    },
+    {
+      "entropy": 5.442513799667358,
+      "epoch": 3.111019055509528,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043459536113805785,
+      "loss": 5.1076,
+      "mean_token_accuracy": 0.17443138360977173,
+      "num_tokens": 6841983.0,
+      "step": 3755
+    },
+    {
+      "entropy": 5.447629022598266,
+      "epoch": 3.115161557580779,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00043436994701295237,
+      "loss": 5.1043,
+      "mean_token_accuracy": 0.17914267033338546,
+      "num_tokens": 6851436.0,
+      "step": 3760
+    },
+    {
+      "entropy": 5.461205101013183,
+      "epoch": 3.1193040596520296,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00043414421142124804,
+      "loss": 5.1836,
+      "mean_token_accuracy": 0.1672696813941002,
+      "num_tokens": 6861810.0,
+      "step": 3765
+    },
+    {
+      "entropy": 5.478553342819214,
+      "epoch": 3.1234465617232807,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00043391815481827814,
+      "loss": 5.0639,
+      "mean_token_accuracy": 0.18850475996732713,
+      "num_tokens": 6870418.0,
+      "step": 3770
+    },
+    {
+      "entropy": 5.41155161857605,
+      "epoch": 3.127589063794532,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004336917776600237,
+      "loss": 5.0683,
+      "mean_token_accuracy": 0.18221812546253205,
+      "num_tokens": 6879419.0,
+      "step": 3775
+    },
+    {
+      "entropy": 5.435874891281128,
+      "epoch": 3.131731565865783,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004334650804031122,
+      "loss": 5.1852,
+      "mean_token_accuracy": 0.17172302156686783,
+      "num_tokens": 6888768.0,
+      "step": 3780
+    },
+    {
+      "entropy": 5.507850646972656,
+      "epoch": 3.135874067937034,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004332380635048165,
+      "loss": 5.1296,
+      "mean_token_accuracy": 0.17900288552045823,
+      "num_tokens": 6897133.0,
+      "step": 3785
+    },
+    {
+      "entropy": 5.485491752624512,
+      "epoch": 3.140016570008285,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00043301072742305474,
+      "loss": 5.1773,
+      "mean_token_accuracy": 0.17168077528476716,
+      "num_tokens": 6904976.0,
+      "step": 3790
+    },
+    {
+      "entropy": 5.537312364578247,
+      "epoch": 3.1441590720795363,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0004327830726163886,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.17883574068546296,
+      "num_tokens": 6915138.0,
+      "step": 3795
+    },
+    {
+      "entropy": 5.548703718185425,
+      "epoch": 3.148301574150787,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0004325550995440226,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.1752033144235611,
+      "num_tokens": 6923962.0,
+      "step": 3800
+    },
+    {
+      "entropy": 5.386642169952393,
+      "epoch": 3.152444076222038,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00043232680866580356,
+      "loss": 5.1478,
+      "mean_token_accuracy": 0.17952724993228913,
+      "num_tokens": 6932102.0,
+      "step": 3805
+    },
+    {
+      "entropy": 5.464086627960205,
+      "epoch": 3.156586578293289,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00043209820044221893,
+      "loss": 5.153,
+      "mean_token_accuracy": 0.1785269558429718,
+      "num_tokens": 6940354.0,
+      "step": 3810
+    },
+    {
+      "entropy": 5.4963922023773195,
+      "epoch": 3.1607290803645403,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00043186927533439654,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.1716633692383766,
+      "num_tokens": 6949779.0,
+      "step": 3815
+    },
+    {
+      "entropy": 5.536400413513183,
+      "epoch": 3.1648715824357914,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043164003380410335,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.17445194274187087,
+      "num_tokens": 6958760.0,
+      "step": 3820
+    },
+    {
+      "entropy": 5.486375331878662,
+      "epoch": 3.169014084507042,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004314104763137445,
+      "loss": 5.1037,
+      "mean_token_accuracy": 0.18134674280881882,
+      "num_tokens": 6967535.0,
+      "step": 3825
+    },
+    {
+      "entropy": 5.469356393814087,
+      "epoch": 3.173156586578293,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043118060332636264,
+      "loss": 5.2036,
+      "mean_token_accuracy": 0.17774708271026612,
+      "num_tokens": 6976211.0,
+      "step": 3830
+    },
+    {
+      "entropy": 5.576221227645874,
+      "epoch": 3.1772990886495442,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00043095041530563665,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.17325948774814606,
+      "num_tokens": 6986001.0,
+      "step": 3835
+    },
+    {
+      "entropy": 5.420689487457276,
+      "epoch": 3.1814415907207954,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00043071991271588104,
+      "loss": 5.2006,
+      "mean_token_accuracy": 0.18302187621593474,
+      "num_tokens": 6994568.0,
+      "step": 3840
+    },
+    {
+      "entropy": 5.52434401512146,
+      "epoch": 3.1855840927920465,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004304890960220446,
+      "loss": 5.2921,
+      "mean_token_accuracy": 0.16869494169950486,
+      "num_tokens": 7004744.0,
+      "step": 3845
+    },
+    {
+      "entropy": 5.520354557037353,
+      "epoch": 3.1897265948632976,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00043025796568970975,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.1696591019630432,
+      "num_tokens": 7014315.0,
+      "step": 3850
+    },
+    {
+      "entropy": 5.523347425460815,
+      "epoch": 3.1938690969345487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00043002652218509184,
+      "loss": 5.1172,
+      "mean_token_accuracy": 0.18450311720371246,
+      "num_tokens": 7022258.0,
+      "step": 3855
+    },
+    {
+      "entropy": 5.522213459014893,
+      "epoch": 3.1980115990057993,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004297947659750376,
+      "loss": 5.2587,
+      "mean_token_accuracy": 0.1674624815583229,
+      "num_tokens": 7031732.0,
+      "step": 3860
+    },
+    {
+      "entropy": 5.467557621002197,
+      "epoch": 3.2021541010770505,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004295626975270246,
+      "loss": 5.1818,
+      "mean_token_accuracy": 0.1766605108976364,
+      "num_tokens": 7040478.0,
+      "step": 3865
+    },
+    {
+      "entropy": 5.490935039520264,
+      "epoch": 3.2062966031483016,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00042933031730916024,
+      "loss": 5.1395,
+      "mean_token_accuracy": 0.18396904766559602,
+      "num_tokens": 7049360.0,
+      "step": 3870
+    },
+    {
+      "entropy": 5.5688018798828125,
+      "epoch": 3.2104391052195527,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000429097625790181,
+      "loss": 5.2267,
+      "mean_token_accuracy": 0.17498258501291275,
+      "num_tokens": 7059271.0,
+      "step": 3875
+    },
+    {
+      "entropy": 5.398471450805664,
+      "epoch": 3.2145816072908038,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004288646234394508,
+      "loss": 5.2177,
+      "mean_token_accuracy": 0.17296054661273957,
+      "num_tokens": 7069038.0,
+      "step": 3880
+    },
+    {
+      "entropy": 5.5407984256744385,
+      "epoch": 3.218724109362055,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00042863131072696115,
+      "loss": 5.1617,
+      "mean_token_accuracy": 0.17704827934503556,
+      "num_tokens": 7077971.0,
+      "step": 3885
+    },
+    {
+      "entropy": 5.4559561252594,
+      "epoch": 3.2228666114333056,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00042839768812332905,
+      "loss": 5.1612,
+      "mean_token_accuracy": 0.17406544089317322,
+      "num_tokens": 7086821.0,
+      "step": 3890
+    },
+    {
+      "entropy": 5.419722366333008,
+      "epoch": 3.2270091135045567,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000428163756099797,
+      "loss": 5.1859,
+      "mean_token_accuracy": 0.17225482910871506,
+      "num_tokens": 7095407.0,
+      "step": 3895
+    },
+    {
+      "entropy": 5.48249921798706,
+      "epoch": 3.2311516155758078,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004279295151282314,
+      "loss": 5.1116,
+      "mean_token_accuracy": 0.18240531533956528,
+      "num_tokens": 7103964.0,
+      "step": 3900
+    },
+    {
+      "entropy": 5.564240264892578,
+      "epoch": 3.235294117647059,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004276949656811217,
+      "loss": 5.251,
+      "mean_token_accuracy": 0.17079487890005113,
+      "num_tokens": 7113571.0,
+      "step": 3905
+    },
+    {
+      "entropy": 5.522033739089966,
+      "epoch": 3.23943661971831,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00042746010823158006,
+      "loss": 5.2738,
+      "mean_token_accuracy": 0.17067040055990218,
+      "num_tokens": 7122844.0,
+      "step": 3910
+    },
+    {
+      "entropy": 5.4324219703674315,
+      "epoch": 3.243579121789561,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042722494325333945,
+      "loss": 5.1326,
+      "mean_token_accuracy": 0.176889306306839,
+      "num_tokens": 7132123.0,
+      "step": 3915
+    },
+    {
+      "entropy": 5.458636379241943,
+      "epoch": 3.2477216238608118,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0004269894712207533,
+      "loss": 5.1819,
+      "mean_token_accuracy": 0.18051923513412477,
+      "num_tokens": 7141068.0,
+      "step": 3920
+    },
+    {
+      "entropy": 5.43212571144104,
+      "epoch": 3.251864125932063,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004267536926087947,
+      "loss": 5.1925,
+      "mean_token_accuracy": 0.1708641156554222,
+      "num_tokens": 7150829.0,
+      "step": 3925
+    },
+    {
+      "entropy": 5.458031702041626,
+      "epoch": 3.256006628003314,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0004265176078930545,
+      "loss": 5.1703,
+      "mean_token_accuracy": 0.17345706522464752,
+      "num_tokens": 7160814.0,
+      "step": 3930
+    },
+    {
+      "entropy": 5.498150825500488,
+      "epoch": 3.260149130074565,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00042628121754974166,
+      "loss": 5.2634,
+      "mean_token_accuracy": 0.17203340232372283,
+      "num_tokens": 7170085.0,
+      "step": 3935
+    },
+    {
+      "entropy": 5.590339422225952,
+      "epoch": 3.264291632145816,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004260445220556811,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.1736685037612915,
+      "num_tokens": 7179366.0,
+      "step": 3940
+    },
+    {
+      "entropy": 5.52174072265625,
+      "epoch": 3.2684341342170673,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00042580752188831376,
+      "loss": 5.2819,
+      "mean_token_accuracy": 0.17067586481571198,
+      "num_tokens": 7188342.0,
+      "step": 3945
+    },
+    {
+      "entropy": 5.556540441513062,
+      "epoch": 3.272576636288318,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004255702175256946,
+      "loss": 5.3095,
+      "mean_token_accuracy": 0.17531315684318544,
+      "num_tokens": 7197466.0,
+      "step": 3950
+    },
+    {
+      "entropy": 5.42687840461731,
+      "epoch": 3.276719138359569,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00042533260944649273,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17852312475442886,
+      "num_tokens": 7205462.0,
+      "step": 3955
+    },
+    {
+      "entropy": 5.424286890029907,
+      "epoch": 3.28086164043082,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004250946981299893,
+      "loss": 5.1838,
+      "mean_token_accuracy": 0.17682615667581558,
+      "num_tokens": 7215115.0,
+      "step": 3960
+    },
+    {
+      "entropy": 5.459038209915161,
+      "epoch": 3.2850041425020713,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00042485648405607776,
+      "loss": 5.1379,
+      "mean_token_accuracy": 0.17029522657394408,
+      "num_tokens": 7224909.0,
+      "step": 3965
+    },
+    {
+      "entropy": 5.392039203643799,
+      "epoch": 3.2891466445733224,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004246179677052617,
+      "loss": 5.0642,
+      "mean_token_accuracy": 0.18698266595602037,
+      "num_tokens": 7232946.0,
+      "step": 3970
+    },
+    {
+      "entropy": 5.362467432022095,
+      "epoch": 3.2932891466445735,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0004243791495586547,
+      "loss": 5.1736,
+      "mean_token_accuracy": 0.17996304631233215,
+      "num_tokens": 7241104.0,
+      "step": 3975
+    },
+    {
+      "entropy": 5.567073392868042,
+      "epoch": 3.297431648715824,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004241400300979791,
+      "loss": 5.2257,
+      "mean_token_accuracy": 0.1786801502108574,
+      "num_tokens": 7250749.0,
+      "step": 3980
+    },
+    {
+      "entropy": 5.447740983963013,
+      "epoch": 3.3015741507870753,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004239006098055651,
+      "loss": 5.124,
+      "mean_token_accuracy": 0.1787547677755356,
+      "num_tokens": 7258687.0,
+      "step": 3985
+    },
+    {
+      "entropy": 5.41381049156189,
+      "epoch": 3.3057166528583264,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004236608891643494,
+      "loss": 5.1572,
+      "mean_token_accuracy": 0.17702401280403138,
+      "num_tokens": 7267316.0,
+      "step": 3990
+    },
+    {
+      "entropy": 5.448715782165527,
+      "epoch": 3.3098591549295775,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004234208686578748,
+      "loss": 5.1777,
+      "mean_token_accuracy": 0.17505329996347427,
+      "num_tokens": 7276734.0,
+      "step": 3995
+    },
+    {
+      "entropy": 5.440592193603516,
+      "epoch": 3.3140016570008286,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00042318054877028876,
+      "loss": 5.1579,
+      "mean_token_accuracy": 0.17840310037136078,
+      "num_tokens": 7285916.0,
+      "step": 4000
+    },
+    {
+      "epoch": 3.3140016570008286,
+      "eval_entropy": 5.363256025416002,
+      "eval_loss": 5.893955707550049,
+      "eval_mean_token_accuracy": 0.15349840453819935,
+      "eval_num_tokens": 7285916.0,
+      "eval_runtime": 2.7471,
+      "eval_samples_per_second": 1363.961,
+      "eval_steps_per_second": 170.723,
+      "step": 4000
+    },
+    {
+      "entropy": 5.487448406219483,
+      "epoch": 3.3181441590720797,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00042293992998634314,
+      "loss": 5.1667,
+      "mean_token_accuracy": 0.17779863625764847,
+      "num_tokens": 7294184.0,
+      "step": 4005
+    },
+    {
+      "entropy": 5.414953899383545,
+      "epoch": 3.3222866611433304,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004226990127913918,
+      "loss": 5.177,
+      "mean_token_accuracy": 0.1768763244152069,
+      "num_tokens": 7302647.0,
+      "step": 4010
+    },
+    {
+      "entropy": 5.442982530593872,
+      "epoch": 3.3264291632145815,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0004224577976713915,
+      "loss": 5.2506,
+      "mean_token_accuracy": 0.16832198798656464,
+      "num_tokens": 7311455.0,
+      "step": 4015
+    },
+    {
+      "entropy": 5.609448575973511,
+      "epoch": 3.3305716652858326,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00042221628511289927,
+      "loss": 5.3136,
+      "mean_token_accuracy": 0.16625809520483018,
+      "num_tokens": 7320978.0,
+      "step": 4020
+    },
+    {
+      "entropy": 5.612923622131348,
+      "epoch": 3.3347141673570837,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0004219744756030723,
+      "loss": 5.3273,
+      "mean_token_accuracy": 0.16872513592243193,
+      "num_tokens": 7330202.0,
+      "step": 4025
+    },
+    {
+      "entropy": 5.4015247344970705,
+      "epoch": 3.338856669428335,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00042173236962966706,
+      "loss": 5.1649,
+      "mean_token_accuracy": 0.17969190180301667,
+      "num_tokens": 7339121.0,
+      "step": 4030
+    },
+    {
+      "entropy": 5.492907905578614,
+      "epoch": 3.342999171499586,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004214899676810375,
+      "loss": 5.2251,
+      "mean_token_accuracy": 0.1665240079164505,
+      "num_tokens": 7348631.0,
+      "step": 4035
+    },
+    {
+      "entropy": 5.469464063644409,
+      "epoch": 3.347141673570837,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004212472702461348,
+      "loss": 5.1843,
+      "mean_token_accuracy": 0.1820875510573387,
+      "num_tokens": 7358354.0,
+      "step": 4040
+    },
+    {
+      "entropy": 5.454071807861328,
+      "epoch": 3.3512841756420877,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004210042778145064,
+      "loss": 5.2038,
+      "mean_token_accuracy": 0.17285584658384323,
+      "num_tokens": 7367031.0,
+      "step": 4045
+    },
+    {
+      "entropy": 5.436822319030762,
+      "epoch": 3.355426677713339,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00042076099087629443,
+      "loss": 5.2025,
+      "mean_token_accuracy": 0.1784903883934021,
+      "num_tokens": 7375996.0,
+      "step": 4050
+    },
+    {
+      "entropy": 5.552537536621093,
+      "epoch": 3.35956917978459,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00042051740992223534,
+      "loss": 5.2567,
+      "mean_token_accuracy": 0.16439318358898164,
+      "num_tokens": 7385355.0,
+      "step": 4055
+    },
+    {
+      "entropy": 5.402252960205078,
+      "epoch": 3.363711681855841,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004202735354436586,
+      "loss": 5.0999,
+      "mean_token_accuracy": 0.1792566418647766,
+      "num_tokens": 7394384.0,
+      "step": 4060
+    },
+    {
+      "entropy": 5.511481237411499,
+      "epoch": 3.367854183927092,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00042002936793248546,
+      "loss": 5.2458,
+      "mean_token_accuracy": 0.1770971804857254,
+      "num_tokens": 7403141.0,
+      "step": 4065
+    },
+    {
+      "entropy": 5.508409786224365,
+      "epoch": 3.371996685998343,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004197849078812286,
+      "loss": 5.199,
+      "mean_token_accuracy": 0.1739865079522133,
+      "num_tokens": 7413331.0,
+      "step": 4070
+    },
+    {
+      "entropy": 5.471702003479004,
+      "epoch": 3.376139188069594,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0004195401557829907,
+      "loss": 5.2368,
+      "mean_token_accuracy": 0.17052597552537918,
+      "num_tokens": 7422362.0,
+      "step": 4075
+    },
+    {
+      "entropy": 5.4563977241516115,
+      "epoch": 3.380281690140845,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041929511213146343,
+      "loss": 5.1661,
+      "mean_token_accuracy": 0.18033864200115204,
+      "num_tokens": 7431350.0,
+      "step": 4080
+    },
+    {
+      "entropy": 5.4815953254699705,
+      "epoch": 3.384424192212096,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004190497774209266,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.1800685152411461,
+      "num_tokens": 7440382.0,
+      "step": 4085
+    },
+    {
+      "entropy": 5.51438536643982,
+      "epoch": 3.3885666942833472,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00041880415214624715,
+      "loss": 5.2355,
+      "mean_token_accuracy": 0.17847414761781694,
+      "num_tokens": 7449357.0,
+      "step": 4090
+    },
+    {
+      "entropy": 5.463125705718994,
+      "epoch": 3.3927091963545983,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0004185582368028781,
+      "loss": 5.1468,
+      "mean_token_accuracy": 0.1853232800960541,
+      "num_tokens": 7457544.0,
+      "step": 4095
+    },
+    {
+      "entropy": 5.409591102600098,
+      "epoch": 3.3968516984258494,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004183120318868577,
+      "loss": 5.1616,
+      "mean_token_accuracy": 0.18774343580007552,
+      "num_tokens": 7465915.0,
+      "step": 4100
+    },
+    {
+      "entropy": 5.435869741439819,
+      "epoch": 3.4009942004971,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00041806553789480787,
+      "loss": 5.1161,
+      "mean_token_accuracy": 0.1833360970020294,
+      "num_tokens": 7474551.0,
+      "step": 4105
+    },
+    {
+      "entropy": 5.507905626296997,
+      "epoch": 3.405136702568351,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00041781875532393423,
+      "loss": 5.2287,
+      "mean_token_accuracy": 0.17473389357328414,
+      "num_tokens": 7483271.0,
+      "step": 4110
+    },
+    {
+      "entropy": 5.474280261993409,
+      "epoch": 3.4092792046396023,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00041757168467202404,
+      "loss": 5.2371,
+      "mean_token_accuracy": 0.17051266878843307,
+      "num_tokens": 7493179.0,
+      "step": 4115
+    },
+    {
+      "entropy": 5.47375521659851,
+      "epoch": 3.4134217067108534,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00041732432643744576,
+      "loss": 5.2132,
+      "mean_token_accuracy": 0.17562344074249267,
+      "num_tokens": 7501858.0,
+      "step": 4120
+    },
+    {
+      "entropy": 5.562008953094482,
+      "epoch": 3.4175642087821045,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.0004170766811191481,
+      "loss": 5.282,
+      "mean_token_accuracy": 0.16895801872014998,
+      "num_tokens": 7511817.0,
+      "step": 4125
+    },
+    {
+      "entropy": 5.3949895858764645,
+      "epoch": 3.421706710853355,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.0004168287492166587,
+      "loss": 5.2513,
+      "mean_token_accuracy": 0.175115604698658,
+      "num_tokens": 7521655.0,
+      "step": 4130
+    },
+    {
+      "entropy": 5.478516006469727,
+      "epoch": 3.4258492129246063,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041658053123008325,
+      "loss": 5.2289,
+      "mean_token_accuracy": 0.17174260020256044,
+      "num_tokens": 7531321.0,
+      "step": 4135
+    },
+    {
+      "entropy": 5.469200515747071,
+      "epoch": 3.4299917149958574,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004163320276601046,
+      "loss": 5.2104,
+      "mean_token_accuracy": 0.17538849860429764,
+      "num_tokens": 7540613.0,
+      "step": 4140
+    },
+    {
+      "entropy": 5.478423690795898,
+      "epoch": 3.4341342170671085,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0004160832390079816,
+      "loss": 5.2823,
+      "mean_token_accuracy": 0.17514234632253647,
+      "num_tokens": 7549598.0,
+      "step": 4145
+    },
+    {
+      "entropy": 5.449503993988037,
+      "epoch": 3.4382767191383596,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00041583416577554815,
+      "loss": 5.1509,
+      "mean_token_accuracy": 0.18169643133878707,
+      "num_tokens": 7558738.0,
+      "step": 4150
+    },
+    {
+      "entropy": 5.454873323440552,
+      "epoch": 3.4424192212096107,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00041558480846521213,
+      "loss": 5.1996,
+      "mean_token_accuracy": 0.17627429366111755,
+      "num_tokens": 7566873.0,
+      "step": 4155
+    },
+    {
+      "entropy": 5.413073778152466,
+      "epoch": 3.446561723280862,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041533516757995455,
+      "loss": 5.18,
+      "mean_token_accuracy": 0.1794169783592224,
+      "num_tokens": 7576645.0,
+      "step": 4160
+    },
+    {
+      "entropy": 5.449489498138428,
+      "epoch": 3.4507042253521125,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004150852436233283,
+      "loss": 5.1844,
+      "mean_token_accuracy": 0.17338148206472398,
+      "num_tokens": 7584854.0,
+      "step": 4165
+    },
+    {
+      "entropy": 5.500524044036865,
+      "epoch": 3.4548467274233636,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004148350370994574,
+      "loss": 5.3142,
+      "mean_token_accuracy": 0.16781232208013536,
+      "num_tokens": 7594022.0,
+      "step": 4170
+    },
+    {
+      "entropy": 5.458495187759399,
+      "epoch": 3.4589892294946147,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0004145845485130357,
+      "loss": 5.1757,
+      "mean_token_accuracy": 0.17461147904396057,
+      "num_tokens": 7603259.0,
+      "step": 4175
+    },
+    {
+      "entropy": 5.453242301940918,
+      "epoch": 3.463131731565866,
+      "grad_norm": 1.140625,
+      "learning_rate": 0.00041433377836932594,
+      "loss": 5.2853,
+      "mean_token_accuracy": 0.1680028423666954,
+      "num_tokens": 7613451.0,
+      "step": 4180
+    },
+    {
+      "entropy": 5.533868455886841,
+      "epoch": 3.467274233637117,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00041408272717415913,
+      "loss": 5.245,
+      "mean_token_accuracy": 0.17225596755743028,
+      "num_tokens": 7622218.0,
+      "step": 4185
+    },
+    {
+      "entropy": 5.351213121414185,
+      "epoch": 3.4714167357083676,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0004138313954339327,
+      "loss": 5.104,
+      "mean_token_accuracy": 0.17463669180870056,
+      "num_tokens": 7630508.0,
+      "step": 4190
+    },
+    {
+      "entropy": 5.488496780395508,
+      "epoch": 3.4755592377796187,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0004135797836556106,
+      "loss": 5.1982,
+      "mean_token_accuracy": 0.181541608273983,
+      "num_tokens": 7640141.0,
+      "step": 4195
+    },
+    {
+      "entropy": 5.459699392318726,
+      "epoch": 3.47970173985087,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00041332789234672094,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1721531167626381,
+      "num_tokens": 7648764.0,
+      "step": 4200
+    },
+    {
+      "entropy": 5.406872129440307,
+      "epoch": 3.483844241922121,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004130757220153561,
+      "loss": 5.1952,
+      "mean_token_accuracy": 0.18173792064189911,
+      "num_tokens": 7658642.0,
+      "step": 4205
+    },
+    {
+      "entropy": 5.544135618209839,
+      "epoch": 3.487986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0004128232731701712,
+      "loss": 5.377,
+      "mean_token_accuracy": 0.16519460082054138,
+      "num_tokens": 7667524.0,
+      "step": 4210
+    },
+    {
+      "entropy": 5.488169002532959,
+      "epoch": 3.492129246064623,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004125705463203833,
+      "loss": 5.1928,
+      "mean_token_accuracy": 0.18297115415334703,
+      "num_tokens": 7675800.0,
+      "step": 4215
+    },
+    {
+      "entropy": 5.490040969848633,
+      "epoch": 3.4962717481358743,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041231754197576986,
+      "loss": 5.2252,
+      "mean_token_accuracy": 0.1757526621222496,
+      "num_tokens": 7683742.0,
+      "step": 4220
+    },
+    {
+      "entropy": 5.468280076980591,
+      "epoch": 3.5004142502071254,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004120642606466685,
+      "loss": 5.2278,
+      "mean_token_accuracy": 0.1796238511800766,
+      "num_tokens": 7692379.0,
+      "step": 4225
+    },
+    {
+      "entropy": 5.494374942779541,
+      "epoch": 3.504556752278376,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0004118107028439751,
+      "loss": 5.2138,
+      "mean_token_accuracy": 0.17588699012994766,
+      "num_tokens": 7702156.0,
+      "step": 4230
+    },
+    {
+      "entropy": 5.467664003372192,
+      "epoch": 3.508699254349627,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00041155686907914365,
+      "loss": 5.2275,
+      "mean_token_accuracy": 0.1754150867462158,
+      "num_tokens": 7712135.0,
+      "step": 4235
+    },
+    {
+      "entropy": 5.451332426071167,
+      "epoch": 3.5128417564208783,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004113027598641845,
+      "loss": 5.1785,
+      "mean_token_accuracy": 0.1752738744020462,
+      "num_tokens": 7721347.0,
+      "step": 4240
+    },
+    {
+      "entropy": 5.471200275421142,
+      "epoch": 3.5169842584921294,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004110483757116637,
+      "loss": 5.2058,
+      "mean_token_accuracy": 0.1789921909570694,
+      "num_tokens": 7731351.0,
+      "step": 4245
+    },
+    {
+      "entropy": 5.433224248886108,
+      "epoch": 3.52112676056338,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00041079371713470195,
+      "loss": 5.0996,
+      "mean_token_accuracy": 0.18778069019317628,
+      "num_tokens": 7740413.0,
+      "step": 4250
+    },
+    {
+      "entropy": 5.416608476638794,
+      "epoch": 3.525269262634631,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00041053878464697343,
+      "loss": 5.1977,
+      "mean_token_accuracy": 0.18009850829839708,
+      "num_tokens": 7749319.0,
+      "step": 4255
+    },
+    {
+      "entropy": 5.519042015075684,
+      "epoch": 3.5294117647058822,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004102835787627047,
+      "loss": 5.2446,
+      "mean_token_accuracy": 0.17312991321086885,
+      "num_tokens": 7757936.0,
+      "step": 4260
+    },
+    {
+      "entropy": 5.542943048477173,
+      "epoch": 3.5335542667771334,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0004100280999966741,
+      "loss": 5.3083,
+      "mean_token_accuracy": 0.17331433892250062,
+      "num_tokens": 7767349.0,
+      "step": 4265
+    },
+    {
+      "entropy": 5.4042651653289795,
+      "epoch": 3.5376967688483845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00040977234886421007,
+      "loss": 5.1133,
+      "mean_token_accuracy": 0.17731781899929047,
+      "num_tokens": 7776448.0,
+      "step": 4270
+    },
+    {
+      "entropy": 5.4222177028656,
+      "epoch": 3.5418392709196356,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040951632588119064,
+      "loss": 5.209,
+      "mean_token_accuracy": 0.17401482313871383,
+      "num_tokens": 7785768.0,
+      "step": 4275
+    },
+    {
+      "entropy": 5.600345802307129,
+      "epoch": 3.5459817729908867,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0004092600315640422,
+      "loss": 5.2999,
+      "mean_token_accuracy": 0.1715576618909836,
+      "num_tokens": 7794803.0,
+      "step": 4280
+    },
+    {
+      "entropy": 5.411063814163208,
+      "epoch": 3.550124275062138,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004090034664297382,
+      "loss": 5.157,
+      "mean_token_accuracy": 0.17963247746229172,
+      "num_tokens": 7803533.0,
+      "step": 4285
+    },
+    {
+      "entropy": 5.421855831146241,
+      "epoch": 3.5542667771333885,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00040874663099579883,
+      "loss": 5.2246,
+      "mean_token_accuracy": 0.1706953912973404,
+      "num_tokens": 7812854.0,
+      "step": 4290
+    },
+    {
+      "entropy": 5.49954047203064,
+      "epoch": 3.5584092792046396,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00040848952578028915,
+      "loss": 5.1628,
+      "mean_token_accuracy": 0.174958436191082,
+      "num_tokens": 7821683.0,
+      "step": 4295
+    },
+    {
+      "entropy": 5.501424264907837,
+      "epoch": 3.5625517812758907,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004082321513018183,
+      "loss": 5.1738,
+      "mean_token_accuracy": 0.18335361480712892,
+      "num_tokens": 7830967.0,
+      "step": 4300
+    },
+    {
+      "entropy": 5.48747296333313,
+      "epoch": 3.566694283347142,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00040797450807953897,
+      "loss": 5.2159,
+      "mean_token_accuracy": 0.17444179207086563,
+      "num_tokens": 7841179.0,
+      "step": 4305
+    },
+    {
+      "entropy": 5.489819192886353,
+      "epoch": 3.5708367854183924,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004077165966331454,
+      "loss": 5.1587,
+      "mean_token_accuracy": 0.1852751389145851,
+      "num_tokens": 7849841.0,
+      "step": 4310
+    },
+    {
+      "entropy": 5.301797342300415,
+      "epoch": 3.5749792874896436,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0004074584174828735,
+      "loss": 5.2184,
+      "mean_token_accuracy": 0.1747626096010208,
+      "num_tokens": 7859390.0,
+      "step": 4315
+    },
+    {
+      "entropy": 5.493851947784424,
+      "epoch": 3.5791217895608947,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040719997114949856,
+      "loss": 5.1913,
+      "mean_token_accuracy": 0.17565421015024185,
+      "num_tokens": 7868848.0,
+      "step": 4320
+    },
+    {
+      "entropy": 5.506833124160766,
+      "epoch": 3.5832642916321458,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040694125815433533,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.18058759868144988,
+      "num_tokens": 7877521.0,
+      "step": 4325
+    },
+    {
+      "entropy": 5.488465976715088,
+      "epoch": 3.587406793703397,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004066822790192359,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.17181889414787294,
+      "num_tokens": 7886355.0,
+      "step": 4330
+    },
+    {
+      "entropy": 5.437413024902344,
+      "epoch": 3.591549295774648,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00040642303426658967,
+      "loss": 5.2518,
+      "mean_token_accuracy": 0.17224401384592056,
+      "num_tokens": 7895028.0,
+      "step": 4335
+    },
+    {
+      "entropy": 5.379445266723633,
+      "epoch": 3.595691797845899,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040616352441932163,
+      "loss": 5.1282,
+      "mean_token_accuracy": 0.17695483118295668,
+      "num_tokens": 7904192.0,
+      "step": 4340
+    },
+    {
+      "entropy": 5.439553546905517,
+      "epoch": 3.59983429991715,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00040590375000089146,
+      "loss": 5.2066,
+      "mean_token_accuracy": 0.17032651007175445,
+      "num_tokens": 7912328.0,
+      "step": 4345
+    },
+    {
+      "entropy": 5.5121315002441404,
+      "epoch": 3.603976801988401,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.00040564371153529256,
+      "loss": 5.2517,
+      "mean_token_accuracy": 0.1720314145088196,
+      "num_tokens": 7922594.0,
+      "step": 4350
+    },
+    {
+      "entropy": 5.450373315811158,
+      "epoch": 3.608119304059652,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0004053834095470509,
+      "loss": 5.2201,
+      "mean_token_accuracy": 0.16222715824842454,
+      "num_tokens": 7932345.0,
+      "step": 4355
+    },
+    {
+      "entropy": 5.505369853973389,
+      "epoch": 3.612261806130903,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00040512284456122407,
+      "loss": 5.2236,
+      "mean_token_accuracy": 0.17660728394985198,
+      "num_tokens": 7942800.0,
+      "step": 4360
+    },
+    {
+      "entropy": 5.410261583328247,
+      "epoch": 3.616404308202154,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00040486201710340016,
+      "loss": 5.1287,
+      "mean_token_accuracy": 0.1859680861234665,
+      "num_tokens": 7951094.0,
+      "step": 4365
+    },
+    {
+      "entropy": 5.429905796051026,
+      "epoch": 3.6205468102734053,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040460092769969654,
+      "loss": 5.1947,
+      "mean_token_accuracy": 0.17089750617742538,
+      "num_tokens": 7960652.0,
+      "step": 4370
+    },
+    {
+      "entropy": 5.518308162689209,
+      "epoch": 3.624689312344656,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0004043395768767592,
+      "loss": 5.2977,
+      "mean_token_accuracy": 0.16983983814716339,
+      "num_tokens": 7969350.0,
+      "step": 4375
+    },
+    {
+      "entropy": 5.475090789794922,
+      "epoch": 3.628831814415907,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.0004040779651617612,
+      "loss": 5.1831,
+      "mean_token_accuracy": 0.1762356474995613,
+      "num_tokens": 7978969.0,
+      "step": 4380
+    },
+    {
+      "entropy": 5.422111892700196,
+      "epoch": 3.632974316487158,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040381609308240207,
+      "loss": 5.2118,
+      "mean_token_accuracy": 0.1777448311448097,
+      "num_tokens": 7988531.0,
+      "step": 4385
+    },
+    {
+      "entropy": 5.423072242736817,
+      "epoch": 3.6371168185584093,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00040355396116690634,
+      "loss": 5.1864,
+      "mean_token_accuracy": 0.17186058908700944,
+      "num_tokens": 7996576.0,
+      "step": 4390
+    },
+    {
+      "entropy": 5.435235500335693,
+      "epoch": 3.6412593206296604,
+      "grad_norm": 1.09375,
+      "learning_rate": 0.0004032915699440227,
+      "loss": 5.2216,
+      "mean_token_accuracy": 0.17088689655065536,
+      "num_tokens": 8006279.0,
+      "step": 4395
+    },
+    {
+      "entropy": 5.496079921722412,
+      "epoch": 3.6454018227009115,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000403028919943023,
+      "loss": 5.2049,
+      "mean_token_accuracy": 0.17314011603593826,
+      "num_tokens": 8015476.0,
+      "step": 4400
+    },
+    {
+      "entropy": 5.474205350875854,
+      "epoch": 3.6495443247721626,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0004027660116937009,
+      "loss": 5.2326,
+      "mean_token_accuracy": 0.17077937126159667,
+      "num_tokens": 8025450.0,
+      "step": 4405
+    },
+    {
+      "entropy": 5.4402251720428465,
+      "epoch": 3.6536868268434133,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0004025028457263712,
+      "loss": 5.2238,
+      "mean_token_accuracy": 0.17810273319482803,
+      "num_tokens": 8034850.0,
+      "step": 4410
+    },
+    {
+      "entropy": 5.3980237483978275,
+      "epoch": 3.6578293289146644,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0004022394225718684,
+      "loss": 5.1709,
+      "mean_token_accuracy": 0.17368220686912536,
+      "num_tokens": 8044526.0,
+      "step": 4415
+    },
+    {
+      "entropy": 5.446775197982788,
+      "epoch": 3.6619718309859155,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0004019757427615456,
+      "loss": 5.1341,
+      "mean_token_accuracy": 0.17317759096622468,
+      "num_tokens": 8054033.0,
+      "step": 4420
+    },
+    {
+      "entropy": 5.478370094299317,
+      "epoch": 3.6661143330571666,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0004017118068272739,
+      "loss": 5.2298,
+      "mean_token_accuracy": 0.17926038503646852,
+      "num_tokens": 8063535.0,
+      "step": 4425
+    },
+    {
+      "entropy": 5.495908880233765,
+      "epoch": 3.6702568351284177,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00040144761530144096,
+      "loss": 5.2181,
+      "mean_token_accuracy": 0.18870080262422562,
+      "num_tokens": 8073079.0,
+      "step": 4430
+    },
+    {
+      "entropy": 5.367459678649903,
+      "epoch": 3.6743993371996684,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00040118316871695,
+      "loss": 5.1505,
+      "mean_token_accuracy": 0.18230827152729034,
+      "num_tokens": 8082925.0,
+      "step": 4435
+    },
+    {
+      "entropy": 5.457099437713623,
+      "epoch": 3.6785418392709195,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00040091846760721857,
+      "loss": 5.2466,
+      "mean_token_accuracy": 0.17278454601764678,
+      "num_tokens": 8092038.0,
+      "step": 4440
+    },
+    {
+      "entropy": 5.460009002685547,
+      "epoch": 3.6826843413421706,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00040065351250617774,
+      "loss": 5.2137,
+      "mean_token_accuracy": 0.1679331600666046,
+      "num_tokens": 8101581.0,
+      "step": 4445
+    },
+    {
+      "entropy": 5.392482471466065,
+      "epoch": 3.6868268434134217,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00040038830394827107,
+      "loss": 5.2771,
+      "mean_token_accuracy": 0.17032679468393325,
+      "num_tokens": 8111392.0,
+      "step": 4450
+    },
+    {
+      "entropy": 5.5369532108306885,
+      "epoch": 3.690969345484673,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.000400122842468453,
+      "loss": 5.2742,
+      "mean_token_accuracy": 0.16916199624538422,
+      "num_tokens": 8120941.0,
+      "step": 4455
+    },
+    {
+      "entropy": 5.403111267089844,
+      "epoch": 3.695111847555924,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003998571286021884,
+      "loss": 5.1822,
+      "mean_token_accuracy": 0.1721450611948967,
+      "num_tokens": 8129983.0,
+      "step": 4460
+    },
+    {
+      "entropy": 5.482623481750489,
+      "epoch": 3.699254349627175,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003995911628854512,
+      "loss": 5.3064,
+      "mean_token_accuracy": 0.1740827202796936,
+      "num_tokens": 8139428.0,
+      "step": 4465
+    },
+    {
+      "entropy": 5.509563970565796,
+      "epoch": 3.7033968516984257,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003993249458547234,
+      "loss": 5.2302,
+      "mean_token_accuracy": 0.16980735808610917,
+      "num_tokens": 8148520.0,
+      "step": 4470
+    },
+    {
+      "entropy": 5.3746521949768065,
+      "epoch": 3.707539353769677,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039905847804699363,
+      "loss": 5.0676,
+      "mean_token_accuracy": 0.18766331672668457,
+      "num_tokens": 8156908.0,
+      "step": 4475
+    },
+    {
+      "entropy": 5.446433591842651,
+      "epoch": 3.711681855840928,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00039879175999975677,
+      "loss": 5.2156,
+      "mean_token_accuracy": 0.18001207262277602,
+      "num_tokens": 8165677.0,
+      "step": 4480
+    },
+    {
+      "entropy": 5.386814975738526,
+      "epoch": 3.715824357912179,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00039852479225101217,
+      "loss": 5.1883,
+      "mean_token_accuracy": 0.17356531620025634,
+      "num_tokens": 8174786.0,
+      "step": 4485
+    },
+    {
+      "entropy": 5.454575872421264,
+      "epoch": 3.71996685998343,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00039825757533926305,
+      "loss": 5.2484,
+      "mean_token_accuracy": 0.16340016275644303,
+      "num_tokens": 8184150.0,
+      "step": 4490
+    },
+    {
+      "entropy": 5.4400050163269045,
+      "epoch": 3.724109362054681,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039799010980351494,
+      "loss": 5.1455,
+      "mean_token_accuracy": 0.1879016414284706,
+      "num_tokens": 8192257.0,
+      "step": 4495
+    },
+    {
+      "entropy": 5.452324247360229,
+      "epoch": 3.728251864125932,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00039772239618327535,
+      "loss": 5.2273,
+      "mean_token_accuracy": 0.1748780906200409,
+      "num_tokens": 8201041.0,
+      "step": 4500
+    },
+    {
+      "epoch": 3.728251864125932,
+      "eval_entropy": 5.297962182620441,
+      "eval_loss": 5.854063987731934,
+      "eval_mean_token_accuracy": 0.15576711011085428,
+      "eval_num_tokens": 8201041.0,
+      "eval_runtime": 2.7449,
+      "eval_samples_per_second": 1365.057,
+      "eval_steps_per_second": 170.86,
+      "step": 4500
+    },
+    {
+      "entropy": 5.430630874633789,
+      "epoch": 3.732394366197183,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00039745443501855156,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18020173758268357,
+      "num_tokens": 8209881.0,
+      "step": 4505
+    },
+    {
+      "entropy": 5.426507759094238,
+      "epoch": 3.736536868268434,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039718622684985075,
+      "loss": 5.2198,
+      "mean_token_accuracy": 0.1857784554362297,
+      "num_tokens": 8218504.0,
+      "step": 4510
+    },
+    {
+      "entropy": 5.427436780929566,
+      "epoch": 3.7406793703396852,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000396917772218178,
+      "loss": 5.0397,
+      "mean_token_accuracy": 0.19483556151390075,
+      "num_tokens": 8226785.0,
+      "step": 4515
+    },
+    {
+      "entropy": 5.463036251068115,
+      "epoch": 3.7448218724109363,
+      "grad_norm": 1.1171875,
+      "learning_rate": 0.0003966490716650357,
+      "loss": 5.1879,
+      "mean_token_accuracy": 0.1808652698993683,
+      "num_tokens": 8236092.0,
+      "step": 4520
+    },
+    {
+      "entropy": 5.398115777969361,
+      "epoch": 3.7489643744821874,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039638012573242225,
+      "loss": 5.1896,
+      "mean_token_accuracy": 0.18426763266324997,
+      "num_tokens": 8245297.0,
+      "step": 4525
+    },
+    {
+      "entropy": 5.498414611816406,
+      "epoch": 3.7531068765534386,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003961109349628309,
+      "loss": 5.2544,
+      "mean_token_accuracy": 0.16994525790214537,
+      "num_tokens": 8254772.0,
+      "step": 4530
+    },
+    {
+      "entropy": 5.488787031173706,
+      "epoch": 3.757249378624689,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000395841499899249,
+      "loss": 5.3168,
+      "mean_token_accuracy": 0.1684611275792122,
+      "num_tokens": 8264310.0,
+      "step": 4535
+    },
+    {
+      "entropy": 5.4844201564788815,
+      "epoch": 3.7613918806959403,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00039557182108515624,
+      "loss": 5.2197,
+      "mean_token_accuracy": 0.1802253693342209,
+      "num_tokens": 8274184.0,
+      "step": 4540
+    },
+    {
+      "entropy": 5.40406289100647,
+      "epoch": 3.7655343827671914,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039530189906452457,
+      "loss": 5.1556,
+      "mean_token_accuracy": 0.18066346347332002,
+      "num_tokens": 8283151.0,
+      "step": 4545
+    },
+    {
+      "entropy": 5.490919494628907,
+      "epoch": 3.7696768848384425,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00039503173438181605,
+      "loss": 5.2375,
+      "mean_token_accuracy": 0.16958207488059998,
+      "num_tokens": 8292574.0,
+      "step": 4550
+    },
+    {
+      "entropy": 5.37688570022583,
+      "epoch": 3.773819386909693,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00039476132758198236,
+      "loss": 5.1589,
+      "mean_token_accuracy": 0.17906700521707536,
+      "num_tokens": 8301281.0,
+      "step": 4555
+    },
+    {
+      "entropy": 5.404768991470337,
+      "epoch": 3.7779618889809443,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00039449067921046353,
+      "loss": 5.2169,
+      "mean_token_accuracy": 0.184201979637146,
+      "num_tokens": 8310201.0,
+      "step": 4560
+    },
+    {
+      "entropy": 5.5153802871704105,
+      "epoch": 3.7821043910521954,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.00039421978981318703,
+      "loss": 5.243,
+      "mean_token_accuracy": 0.17428653091192245,
+      "num_tokens": 8320369.0,
+      "step": 4565
+    },
+    {
+      "entropy": 5.490174674987793,
+      "epoch": 3.7862468931234465,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00039394865993656625,
+      "loss": 5.2332,
+      "mean_token_accuracy": 0.17829314470291138,
+      "num_tokens": 8329519.0,
+      "step": 4570
+    },
+    {
+      "entropy": 5.4183516025543215,
+      "epoch": 3.7903893951946976,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003936772901274999,
+      "loss": 5.2233,
+      "mean_token_accuracy": 0.16786337196826934,
+      "num_tokens": 8338282.0,
+      "step": 4575
+    },
+    {
+      "entropy": 5.422275066375732,
+      "epoch": 3.7945318972659487,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003934056809333705,
+      "loss": 5.2367,
+      "mean_token_accuracy": 0.1760738953948021,
+      "num_tokens": 8346861.0,
+      "step": 4580
+    },
+    {
+      "entropy": 5.493864250183106,
+      "epoch": 3.7986743993372,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00039313383290204333,
+      "loss": 5.2689,
+      "mean_token_accuracy": 0.16675272732973098,
+      "num_tokens": 8356078.0,
+      "step": 4585
+    },
+    {
+      "entropy": 5.449766826629639,
+      "epoch": 3.802816901408451,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003928617465818658,
+      "loss": 5.2279,
+      "mean_token_accuracy": 0.16728012412786483,
+      "num_tokens": 8365487.0,
+      "step": 4590
+    },
+    {
+      "entropy": 5.477828598022461,
+      "epoch": 3.8069594034797016,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00039258942252166554,
+      "loss": 5.2102,
+      "mean_token_accuracy": 0.17344195693731307,
+      "num_tokens": 8374622.0,
+      "step": 4595
+    },
+    {
+      "entropy": 5.467281007766724,
+      "epoch": 3.8111019055509527,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003923168612707502,
+      "loss": 5.1437,
+      "mean_token_accuracy": 0.1838704138994217,
+      "num_tokens": 8383312.0,
+      "step": 4600
+    },
+    {
+      "entropy": 5.375951862335205,
+      "epoch": 3.815244407622204,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003920440633789053,
+      "loss": 5.1668,
+      "mean_token_accuracy": 0.17426021844148637,
+      "num_tokens": 8391987.0,
+      "step": 4605
+    },
+    {
+      "entropy": 5.411648225784302,
+      "epoch": 3.819386909693455,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00039177102939639424,
+      "loss": 5.1782,
+      "mean_token_accuracy": 0.17309755831956863,
+      "num_tokens": 8401263.0,
+      "step": 4610
+    },
+    {
+      "entropy": 5.520602798461914,
+      "epoch": 3.8235294117647056,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003914977598739563,
+      "loss": 5.1998,
+      "mean_token_accuracy": 0.18663258850574493,
+      "num_tokens": 8410110.0,
+      "step": 4615
+    },
+    {
+      "entropy": 5.505752420425415,
+      "epoch": 3.8276719138359567,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003912242553628059,
+      "loss": 5.2827,
+      "mean_token_accuracy": 0.16937017440795898,
+      "num_tokens": 8419321.0,
+      "step": 4620
+    },
+    {
+      "entropy": 5.470319938659668,
+      "epoch": 3.831814415907208,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003909505164146318,
+      "loss": 5.2512,
+      "mean_token_accuracy": 0.17635022550821305,
+      "num_tokens": 8428376.0,
+      "step": 4625
+    },
+    {
+      "entropy": 5.446829080581665,
+      "epoch": 3.835956917978459,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.000390676543581595,
+      "loss": 5.1826,
+      "mean_token_accuracy": 0.1743323564529419,
+      "num_tokens": 8437263.0,
+      "step": 4630
+    },
+    {
+      "entropy": 5.361465311050415,
+      "epoch": 3.84009942004971,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003904023374163289,
+      "loss": 5.1943,
+      "mean_token_accuracy": 0.17949013262987137,
+      "num_tokens": 8445889.0,
+      "step": 4635
+    },
+    {
+      "entropy": 5.503735971450806,
+      "epoch": 3.844241922120961,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003901278984719372,
+      "loss": 5.3739,
+      "mean_token_accuracy": 0.16415481567382811,
+      "num_tokens": 8456086.0,
+      "step": 4640
+    },
+    {
+      "entropy": 5.492273569107056,
+      "epoch": 3.8483844241922123,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00038985322730199326,
+      "loss": 5.2018,
+      "mean_token_accuracy": 0.1795567825436592,
+      "num_tokens": 8465150.0,
+      "step": 4645
+    },
+    {
+      "entropy": 5.431647396087646,
+      "epoch": 3.8525269262634634,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003895783244605389,
+      "loss": 5.2783,
+      "mean_token_accuracy": 0.1720671087503433,
+      "num_tokens": 8474172.0,
+      "step": 4650
+    },
+    {
+      "entropy": 5.404905462265015,
+      "epoch": 3.856669428334714,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00038930319050208315,
+      "loss": 5.1532,
+      "mean_token_accuracy": 0.18708953112363816,
+      "num_tokens": 8483636.0,
+      "step": 4655
+    },
+    {
+      "entropy": 5.408392810821534,
+      "epoch": 3.860811930405965,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00038902782598160127,
+      "loss": 5.1091,
+      "mean_token_accuracy": 0.1881578117609024,
+      "num_tokens": 8491560.0,
+      "step": 4660
+    },
+    {
+      "entropy": 5.484521150588989,
+      "epoch": 3.8649544324772163,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00038875223145453346,
+      "loss": 5.4046,
+      "mean_token_accuracy": 0.17662398070096968,
+      "num_tokens": 8501685.0,
+      "step": 4665
+    },
+    {
+      "entropy": 5.551066589355469,
+      "epoch": 3.8690969345484674,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003884764074767842,
+      "loss": 5.2498,
+      "mean_token_accuracy": 0.17176942974328996,
+      "num_tokens": 8510580.0,
+      "step": 4670
+    },
+    {
+      "entropy": 5.477302551269531,
+      "epoch": 3.873239436619718,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003882003546047205,
+      "loss": 5.2013,
+      "mean_token_accuracy": 0.17522621154785156,
+      "num_tokens": 8519595.0,
+      "step": 4675
+    },
+    {
+      "entropy": 5.506098508834839,
+      "epoch": 3.877381938690969,
+      "grad_norm": 1.125,
+      "learning_rate": 0.00038792407339517123,
+      "loss": 5.2786,
+      "mean_token_accuracy": 0.17400375306606292,
+      "num_tokens": 8529118.0,
+      "step": 4680
+    },
+    {
+      "entropy": 5.507658243179321,
+      "epoch": 3.8815244407622203,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00038764756440542574,
+      "loss": 5.2477,
+      "mean_token_accuracy": 0.17185091674327851,
+      "num_tokens": 8539322.0,
+      "step": 4685
+    },
+    {
+      "entropy": 5.454025650024414,
+      "epoch": 3.8856669428334714,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038737082819323285,
+      "loss": 5.1677,
+      "mean_token_accuracy": 0.17740404605865479,
+      "num_tokens": 8548707.0,
+      "step": 4690
+    },
+    {
+      "entropy": 5.427890157699585,
+      "epoch": 3.8898094449047225,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00038709386531679974,
+      "loss": 5.2576,
+      "mean_token_accuracy": 0.1718251511454582,
+      "num_tokens": 8557500.0,
+      "step": 4695
+    },
+    {
+      "entropy": 5.436252593994141,
+      "epoch": 3.8939519469759736,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00038681667633479086,
+      "loss": 5.2621,
+      "mean_token_accuracy": 0.1682343602180481,
+      "num_tokens": 8567465.0,
+      "step": 4700
+    },
+    {
+      "entropy": 5.381856250762939,
+      "epoch": 3.8980944490472247,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00038653926180632665,
+      "loss": 5.1165,
+      "mean_token_accuracy": 0.18321423530578612,
+      "num_tokens": 8576680.0,
+      "step": 4705
+    },
+    {
+      "entropy": 5.495894527435302,
+      "epoch": 3.902236951118476,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00038626162229098257,
+      "loss": 5.2631,
+      "mean_token_accuracy": 0.16617788672447203,
+      "num_tokens": 8585539.0,
+      "step": 4710
+    },
+    {
+      "entropy": 5.400326347351074,
+      "epoch": 3.9063794531897265,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003859837583487877,
+      "loss": 5.1007,
+      "mean_token_accuracy": 0.18613590002059938,
+      "num_tokens": 8593598.0,
+      "step": 4715
+    },
+    {
+      "entropy": 5.4148589134216305,
+      "epoch": 3.9105219552609776,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003857056705402241,
+      "loss": 5.236,
+      "mean_token_accuracy": 0.1721765860915184,
+      "num_tokens": 8603440.0,
+      "step": 4720
+    },
+    {
+      "entropy": 5.384281969070434,
+      "epoch": 3.9146644573322287,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003854273594262253,
+      "loss": 5.0591,
+      "mean_token_accuracy": 0.1858549162745476,
+      "num_tokens": 8612490.0,
+      "step": 4725
+    },
+    {
+      "entropy": 5.387153816223145,
+      "epoch": 3.91880695940348,
+      "grad_norm": 1.1484375,
+      "learning_rate": 0.0003851488255681752,
+      "loss": 5.1508,
+      "mean_token_accuracy": 0.17980385273694993,
+      "num_tokens": 8621994.0,
+      "step": 4730
+    },
+    {
+      "entropy": 5.462166833877563,
+      "epoch": 3.922949461474731,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000384870069527907,
+      "loss": 5.2269,
+      "mean_token_accuracy": 0.16994049549102783,
+      "num_tokens": 8631185.0,
+      "step": 4735
+    },
+    {
+      "entropy": 5.445327711105347,
+      "epoch": 3.9270919635459816,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00038459109186770213,
+      "loss": 5.1201,
+      "mean_token_accuracy": 0.18937034606933595,
+      "num_tokens": 8639018.0,
+      "step": 4740
+    },
+    {
+      "entropy": 5.365725660324097,
+      "epoch": 3.9312344656172327,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00038431189315028905,
+      "loss": 5.1293,
+      "mean_token_accuracy": 0.1805494785308838,
+      "num_tokens": 8647672.0,
+      "step": 4745
+    },
+    {
+      "entropy": 5.42286114692688,
+      "epoch": 3.9353769676884838,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003840324739388419,
+      "loss": 5.2659,
+      "mean_token_accuracy": 0.16662627309560776,
+      "num_tokens": 8656638.0,
+      "step": 4750
+    },
+    {
+      "entropy": 5.4803203582763675,
+      "epoch": 3.939519469759735,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00038375283479698,
+      "loss": 5.2229,
+      "mean_token_accuracy": 0.18231208473443986,
+      "num_tokens": 8666167.0,
+      "step": 4755
+    },
+    {
+      "entropy": 5.505121231079102,
+      "epoch": 3.943661971830986,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003834729762887659,
+      "loss": 5.3067,
+      "mean_token_accuracy": 0.16447765678167342,
+      "num_tokens": 8676435.0,
+      "step": 4760
+    },
+    {
+      "entropy": 5.413615751266479,
+      "epoch": 3.947804473902237,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003831928989787049,
+      "loss": 5.1808,
+      "mean_token_accuracy": 0.18012969940900803,
+      "num_tokens": 8686011.0,
+      "step": 4765
+    },
+    {
+      "entropy": 5.463970613479614,
+      "epoch": 3.951946975973488,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003829126034317435,
+      "loss": 5.1959,
+      "mean_token_accuracy": 0.17213619947433473,
+      "num_tokens": 8695063.0,
+      "step": 4770
+    },
+    {
+      "entropy": 5.517300796508789,
+      "epoch": 3.956089478044739,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003826320902132684,
+      "loss": 5.299,
+      "mean_token_accuracy": 0.16880902647972107,
+      "num_tokens": 8704585.0,
+      "step": 4775
+    },
+    {
+      "entropy": 5.469470262527466,
+      "epoch": 3.96023198011599,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038235135988910545,
+      "loss": 5.2111,
+      "mean_token_accuracy": 0.17501715570688248,
+      "num_tokens": 8714097.0,
+      "step": 4780
+    },
+    {
+      "entropy": 5.433980226516724,
+      "epoch": 3.964374482187241,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00038207041302551844,
+      "loss": 5.1327,
+      "mean_token_accuracy": 0.1802523225545883,
+      "num_tokens": 8722890.0,
+      "step": 4785
+    },
+    {
+      "entropy": 5.36038613319397,
+      "epoch": 3.968516984258492,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003817892501892078,
+      "loss": 5.1474,
+      "mean_token_accuracy": 0.18226009160280227,
+      "num_tokens": 8732046.0,
+      "step": 4790
+    },
+    {
+      "entropy": 5.385818529129028,
+      "epoch": 3.9726594863297433,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00038150787194730977,
+      "loss": 5.1867,
+      "mean_token_accuracy": 0.18098812699317932,
+      "num_tokens": 8741750.0,
+      "step": 4795
+    },
+    {
+      "entropy": 5.49769434928894,
+      "epoch": 3.976801988400994,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000381226278867395,
+      "loss": 5.1585,
+      "mean_token_accuracy": 0.17722393125295638,
+      "num_tokens": 8750141.0,
+      "step": 4800
+    },
+    {
+      "entropy": 5.3994584560394285,
+      "epoch": 3.980944490472245,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00038094447151746746,
+      "loss": 5.0956,
+      "mean_token_accuracy": 0.18723244071006775,
+      "num_tokens": 8758567.0,
+      "step": 4805
+    },
+    {
+      "entropy": 5.376461982727051,
+      "epoch": 3.985086992543496,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003806624504659635,
+      "loss": 5.193,
+      "mean_token_accuracy": 0.1782562255859375,
+      "num_tokens": 8767829.0,
+      "step": 4810
+    },
+    {
+      "entropy": 5.416551733016968,
+      "epoch": 3.9892294946147473,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003803802162817503,
+      "loss": 5.0891,
+      "mean_token_accuracy": 0.18413031548261644,
+      "num_tokens": 8776911.0,
+      "step": 4815
+    },
+    {
+      "entropy": 5.403548002243042,
+      "epoch": 3.9933719966859984,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000380097769534125,
+      "loss": 5.2011,
+      "mean_token_accuracy": 0.18309975266456605,
+      "num_tokens": 8786117.0,
+      "step": 4820
+    },
+    {
+      "entropy": 5.401311016082763,
+      "epoch": 3.9975144987572495,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003798151107928136,
+      "loss": 5.1436,
+      "mean_token_accuracy": 0.18381998240947722,
+      "num_tokens": 8795647.0,
+      "step": 4825
+    },
+    {
+      "entropy": 5.363515567779541,
+      "epoch": 4.001657000828501,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00037953224062796967,
+      "loss": 5.1114,
+      "mean_token_accuracy": 0.18405449539422988,
+      "num_tokens": 8803480.0,
+      "step": 4830
+    },
+    {
+      "entropy": 5.504069137573242,
+      "epoch": 4.005799502899752,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003792491596101733,
+      "loss": 4.9454,
+      "mean_token_accuracy": 0.19255731254816055,
+      "num_tokens": 8812825.0,
+      "step": 4835
+    },
+    {
+      "entropy": 5.45196304321289,
+      "epoch": 4.009942004971003,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003789658683104298,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19097152799367906,
+      "num_tokens": 8821911.0,
+      "step": 4840
+    },
+    {
+      "entropy": 5.429521989822388,
+      "epoch": 4.014084507042254,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037868236730016866,
+      "loss": 4.9518,
+      "mean_token_accuracy": 0.18948255032300948,
+      "num_tokens": 8830691.0,
+      "step": 4845
+    },
+    {
+      "entropy": 5.400455188751221,
+      "epoch": 4.018227009113504,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037839865715124234,
+      "loss": 4.9281,
+      "mean_token_accuracy": 0.19010053426027299,
+      "num_tokens": 8840410.0,
+      "step": 4850
+    },
+    {
+      "entropy": 5.374143838882446,
+      "epoch": 4.022369511184755,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00037811473843592534,
+      "loss": 4.9042,
+      "mean_token_accuracy": 0.19410175532102586,
+      "num_tokens": 8849662.0,
+      "step": 4855
+    },
+    {
+      "entropy": 5.4465690612792965,
+      "epoch": 4.026512013256006,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00037783061172691273,
+      "loss": 4.8985,
+      "mean_token_accuracy": 0.19412659406661986,
+      "num_tokens": 8858666.0,
+      "step": 4860
+    },
+    {
+      "entropy": 5.497456216812134,
+      "epoch": 4.0306545153272575,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.0003775462775973191,
+      "loss": 4.9611,
+      "mean_token_accuracy": 0.1847592905163765,
+      "num_tokens": 8867885.0,
+      "step": 4865
+    },
+    {
+      "entropy": 5.351856470108032,
+      "epoch": 4.034797017398509,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003772617366206773,
+      "loss": 4.9175,
+      "mean_token_accuracy": 0.19424951672554017,
+      "num_tokens": 8877458.0,
+      "step": 4870
+    },
+    {
+      "entropy": 5.363556432723999,
+      "epoch": 4.03893951946976,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037697698937093783,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.18704084753990174,
+      "num_tokens": 8886995.0,
+      "step": 4875
+    },
+    {
+      "entropy": 5.463095617294312,
+      "epoch": 4.043082021541011,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00037669203642246685,
+      "loss": 5.026,
+      "mean_token_accuracy": 0.18413490056991577,
+      "num_tokens": 8895224.0,
+      "step": 4880
+    },
+    {
+      "entropy": 5.4529016494750975,
+      "epoch": 4.047224523612262,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00037640687835004567,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.1925043895840645,
+      "num_tokens": 8905216.0,
+      "step": 4885
+    },
+    {
+      "entropy": 5.426698875427246,
+      "epoch": 4.051367025683513,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003761215157288692,
+      "loss": 4.9558,
+      "mean_token_accuracy": 0.19299548715353013,
+      "num_tokens": 8915493.0,
+      "step": 4890
+    },
+    {
+      "entropy": 5.362393617630005,
+      "epoch": 4.055509527754764,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00037583594913454514,
+      "loss": 4.925,
+      "mean_token_accuracy": 0.1959809884428978,
+      "num_tokens": 8924740.0,
+      "step": 4895
+    },
+    {
+      "entropy": 5.42564959526062,
+      "epoch": 4.059652029826015,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003755501791430925,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.18527257889509202,
+      "num_tokens": 8934726.0,
+      "step": 4900
+    },
+    {
+      "entropy": 5.448423719406128,
+      "epoch": 4.063794531897266,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00037526420633094044,
+      "loss": 4.9581,
+      "mean_token_accuracy": 0.18748125433921814,
+      "num_tokens": 8944301.0,
+      "step": 4905
+    },
+    {
+      "entropy": 5.449982643127441,
+      "epoch": 4.067937033968517,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00037497803127492757,
+      "loss": 4.9881,
+      "mean_token_accuracy": 0.19187170565128325,
+      "num_tokens": 8953967.0,
+      "step": 4910
+    },
+    {
+      "entropy": 5.326543855667114,
+      "epoch": 4.072079536039768,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003746916545523001,
+      "loss": 4.8948,
+      "mean_token_accuracy": 0.19177066087722777,
+      "num_tokens": 8962983.0,
+      "step": 4915
+    },
+    {
+      "entropy": 5.381871175765991,
+      "epoch": 4.076222038111019,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003744050767407113,
+      "loss": 5.0191,
+      "mean_token_accuracy": 0.18154184073209761,
+      "num_tokens": 8972019.0,
+      "step": 4920
+    },
+    {
+      "entropy": 5.40556058883667,
+      "epoch": 4.08036454018227,
+      "grad_norm": 1.125,
+      "learning_rate": 0.0003741182984182198,
+      "loss": 4.901,
+      "mean_token_accuracy": 0.20234887301921844,
+      "num_tokens": 8981751.0,
+      "step": 4925
+    },
+    {
+      "entropy": 5.3616517066955565,
+      "epoch": 4.084507042253521,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003738313201632889,
+      "loss": 4.8923,
+      "mean_token_accuracy": 0.19780989587306977,
+      "num_tokens": 8990330.0,
+      "step": 4930
+    },
+    {
+      "entropy": 5.314311408996582,
+      "epoch": 4.088649544324772,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003735441425547851,
+      "loss": 4.905,
+      "mean_token_accuracy": 0.19072338491678237,
+      "num_tokens": 8998366.0,
+      "step": 4935
+    },
+    {
+      "entropy": 5.290538501739502,
+      "epoch": 4.092792046396023,
+      "grad_norm": 1.828125,
+      "learning_rate": 0.00037325676617197697,
+      "loss": 4.8317,
+      "mean_token_accuracy": 0.20186650305986403,
+      "num_tokens": 9006881.0,
+      "step": 4940
+    },
+    {
+      "entropy": 5.323595571517944,
+      "epoch": 4.096934548467274,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.0003729691915945342,
+      "loss": 4.8944,
+      "mean_token_accuracy": 0.19853760153055192,
+      "num_tokens": 9015415.0,
+      "step": 4945
+    },
+    {
+      "entropy": 5.40374059677124,
+      "epoch": 4.1010770505385254,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000372681419402526,
+      "loss": 4.9483,
+      "mean_token_accuracy": 0.19546929001808167,
+      "num_tokens": 9024578.0,
+      "step": 4950
+    },
+    {
+      "entropy": 5.381409311294556,
+      "epoch": 4.105219552609777,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003723934501764203,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.1867024227976799,
+      "num_tokens": 9032637.0,
+      "step": 4955
+    },
+    {
+      "entropy": 5.395318984985352,
+      "epoch": 4.109362054681028,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0003721052844970826,
+      "loss": 4.8913,
+      "mean_token_accuracy": 0.18718749284744263,
+      "num_tokens": 9041513.0,
+      "step": 4960
+    },
+    {
+      "entropy": 5.394489192962647,
+      "epoch": 4.113504556752279,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00037181692294577457,
+      "loss": 4.9155,
+      "mean_token_accuracy": 0.1854037255048752,
+      "num_tokens": 9051024.0,
+      "step": 4965
+    },
+    {
+      "entropy": 5.33848295211792,
+      "epoch": 4.117647058823529,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00037152836610415284,
+      "loss": 4.8895,
+      "mean_token_accuracy": 0.19274405539035797,
+      "num_tokens": 9059494.0,
+      "step": 4970
+    },
+    {
+      "entropy": 5.31979193687439,
+      "epoch": 4.12178956089478,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00037123961455426836,
+      "loss": 4.7988,
+      "mean_token_accuracy": 0.19865831583738328,
+      "num_tokens": 9068166.0,
+      "step": 4975
+    },
+    {
+      "entropy": 5.391095542907715,
+      "epoch": 4.125932062966031,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00037095066887856434,
+      "loss": 4.907,
+      "mean_token_accuracy": 0.19333944320678711,
+      "num_tokens": 9077283.0,
+      "step": 4980
+    },
+    {
+      "entropy": 5.3755443572998045,
+      "epoch": 4.130074565037282,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003706615296598758,
+      "loss": 4.9332,
+      "mean_token_accuracy": 0.19493403136730195,
+      "num_tokens": 9086605.0,
+      "step": 4985
+    },
+    {
+      "entropy": 5.301020622253418,
+      "epoch": 4.134217067108533,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003703721974814282,
+      "loss": 4.9169,
+      "mean_token_accuracy": 0.19399153292179108,
+      "num_tokens": 9095567.0,
+      "step": 4990
+    },
+    {
+      "entropy": 5.282594537734985,
+      "epoch": 4.1383595691797845,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00037008267292683615,
+      "loss": 4.9012,
+      "mean_token_accuracy": 0.19265301078557967,
+      "num_tokens": 9104457.0,
+      "step": 4995
+    },
+    {
+      "entropy": 5.398877716064453,
+      "epoch": 4.142502071251036,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036979295658010227,
+      "loss": 4.9533,
+      "mean_token_accuracy": 0.20162091553211212,
+      "num_tokens": 9113945.0,
+      "step": 5000
+    },
+    {
+      "epoch": 4.142502071251036,
+      "eval_entropy": 5.273210916946184,
+      "eval_loss": 5.83656120300293,
+      "eval_mean_token_accuracy": 0.15772452866281272,
+      "eval_num_tokens": 9113945.0,
+      "eval_runtime": 2.9415,
+      "eval_samples_per_second": 1273.844,
+      "eval_steps_per_second": 159.443,
+      "step": 5000
+    },
+    {
+      "entropy": 5.424594402313232,
+      "epoch": 4.146644573322287,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003695030490256161,
+      "loss": 5.0303,
+      "mean_token_accuracy": 0.18944208920001984,
+      "num_tokens": 9122996.0,
+      "step": 5005
+    },
+    {
+      "entropy": 5.355675983428955,
+      "epoch": 4.150787075393538,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000369212950848153,
+      "loss": 4.8793,
+      "mean_token_accuracy": 0.1962927296757698,
+      "num_tokens": 9132079.0,
+      "step": 5010
+    },
+    {
+      "entropy": 5.384340238571167,
+      "epoch": 4.154929577464789,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003689226626328725,
+      "loss": 5.0058,
+      "mean_token_accuracy": 0.19004727751016617,
+      "num_tokens": 9141335.0,
+      "step": 5015
+    },
+    {
+      "entropy": 5.442283582687378,
+      "epoch": 4.15907207953604,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00036863218496531767,
+      "loss": 5.0264,
+      "mean_token_accuracy": 0.18990386426448821,
+      "num_tokens": 9150049.0,
+      "step": 5020
+    },
+    {
+      "entropy": 5.409811115264892,
+      "epoch": 4.163214581607291,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003683415184314139,
+      "loss": 4.9057,
+      "mean_token_accuracy": 0.19072521328926087,
+      "num_tokens": 9159245.0,
+      "step": 5025
+    },
+    {
+      "entropy": 5.281745195388794,
+      "epoch": 4.167357083678542,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00036805066361746716,
+      "loss": 4.9432,
+      "mean_token_accuracy": 0.19057238101959229,
+      "num_tokens": 9167892.0,
+      "step": 5030
+    },
+    {
+      "entropy": 5.262811374664307,
+      "epoch": 4.1714995857497925,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036775962111016346,
+      "loss": 4.9189,
+      "mean_token_accuracy": 0.19675376862287522,
+      "num_tokens": 9176067.0,
+      "step": 5035
+    },
+    {
+      "entropy": 5.335107898712158,
+      "epoch": 4.175642087821044,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00036746839149656734,
+      "loss": 4.9032,
+      "mean_token_accuracy": 0.19636716991662978,
+      "num_tokens": 9185318.0,
+      "step": 5040
+    },
+    {
+      "entropy": 5.338614749908447,
+      "epoch": 4.179784589892295,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003671769753641207,
+      "loss": 4.9605,
+      "mean_token_accuracy": 0.19530149400234223,
+      "num_tokens": 9194885.0,
+      "step": 5045
+    },
+    {
+      "entropy": 5.349650192260742,
+      "epoch": 4.183927091963546,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00036688537330064187,
+      "loss": 4.987,
+      "mean_token_accuracy": 0.19436514377593994,
+      "num_tokens": 9203906.0,
+      "step": 5050
+    },
+    {
+      "entropy": 5.318757629394531,
+      "epoch": 4.188069594034797,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000366593585894324,
+      "loss": 4.8507,
+      "mean_token_accuracy": 0.2013680413365364,
+      "num_tokens": 9213351.0,
+      "step": 5055
+    },
+    {
+      "entropy": 5.347932624816894,
+      "epoch": 4.192212096106048,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003663016137337341,
+      "loss": 4.9278,
+      "mean_token_accuracy": 0.18784158080816268,
+      "num_tokens": 9222191.0,
+      "step": 5060
+    },
+    {
+      "entropy": 5.372864198684693,
+      "epoch": 4.196354598177299,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00036600945740781197,
+      "loss": 4.9668,
+      "mean_token_accuracy": 0.1919815331697464,
+      "num_tokens": 9231517.0,
+      "step": 5065
+    },
+    {
+      "entropy": 5.393643712997436,
+      "epoch": 4.20049710024855,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036571711750586896,
+      "loss": 4.9891,
+      "mean_token_accuracy": 0.19960682690143586,
+      "num_tokens": 9241208.0,
+      "step": 5070
+    },
+    {
+      "entropy": 5.391959381103516,
+      "epoch": 4.204639602319801,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003654245946175864,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19324131309986115,
+      "num_tokens": 9250237.0,
+      "step": 5075
+    },
+    {
+      "entropy": 5.37893590927124,
+      "epoch": 4.2087821043910525,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00036513188933301504,
+      "loss": 5.0399,
+      "mean_token_accuracy": 0.18783097416162492,
+      "num_tokens": 9260273.0,
+      "step": 5080
+    },
+    {
+      "entropy": 5.378773164749146,
+      "epoch": 4.212924606462304,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003648390022425734,
+      "loss": 4.8996,
+      "mean_token_accuracy": 0.19140231609344482,
+      "num_tokens": 9268878.0,
+      "step": 5085
+    },
+    {
+      "entropy": 5.325588417053223,
+      "epoch": 4.217067108533554,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003645459339370468,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19706592857837676,
+      "num_tokens": 9276324.0,
+      "step": 5090
+    },
+    {
+      "entropy": 5.312953901290894,
+      "epoch": 4.221209610604805,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00036425268500758594,
+      "loss": 4.9725,
+      "mean_token_accuracy": 0.1936806783080101,
+      "num_tokens": 9285052.0,
+      "step": 5095
+    },
+    {
+      "entropy": 5.354986000061035,
+      "epoch": 4.225352112676056,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036395925604570614,
+      "loss": 4.8763,
+      "mean_token_accuracy": 0.20042537599802018,
+      "num_tokens": 9293324.0,
+      "step": 5100
+    },
+    {
+      "entropy": 5.3900477409362795,
+      "epoch": 4.229494614747307,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003636656476432854,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19263672083616257,
+      "num_tokens": 9302131.0,
+      "step": 5105
+    },
+    {
+      "entropy": 5.263408470153808,
+      "epoch": 4.233637116818558,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003633718603925642,
+      "loss": 4.862,
+      "mean_token_accuracy": 0.19388986378908157,
+      "num_tokens": 9311128.0,
+      "step": 5110
+    },
+    {
+      "entropy": 5.420498418807983,
+      "epoch": 4.237779618889809,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0003630778948861434,
+      "loss": 4.9352,
+      "mean_token_accuracy": 0.1895424723625183,
+      "num_tokens": 9319849.0,
+      "step": 5115
+    },
+    {
+      "entropy": 5.336805248260498,
+      "epoch": 4.2419221209610605,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003627837517169836,
+      "loss": 4.9458,
+      "mean_token_accuracy": 0.18560263216495515,
+      "num_tokens": 9328355.0,
+      "step": 5120
+    },
+    {
+      "entropy": 5.352609777450562,
+      "epoch": 4.246064623032312,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003624894314784037,
+      "loss": 4.9236,
+      "mean_token_accuracy": 0.18928787410259246,
+      "num_tokens": 9337562.0,
+      "step": 5125
+    },
+    {
+      "entropy": 5.323793935775757,
+      "epoch": 4.250207125103563,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003621949347640797,
+      "loss": 4.9315,
+      "mean_token_accuracy": 0.196185165643692,
+      "num_tokens": 9347851.0,
+      "step": 5130
+    },
+    {
+      "entropy": 5.398552274703979,
+      "epoch": 4.254349627174814,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003619002621680439,
+      "loss": 4.9325,
+      "mean_token_accuracy": 0.19673411697149276,
+      "num_tokens": 9356524.0,
+      "step": 5135
+    },
+    {
+      "entropy": 5.4241108894348145,
+      "epoch": 4.258492129246065,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003616054142846829,
+      "loss": 5.0307,
+      "mean_token_accuracy": 0.1882170706987381,
+      "num_tokens": 9365521.0,
+      "step": 5140
+    },
+    {
+      "entropy": 5.301144218444824,
+      "epoch": 4.262634631317316,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003613103917087371,
+      "loss": 4.9262,
+      "mean_token_accuracy": 0.19470559656620026,
+      "num_tokens": 9374088.0,
+      "step": 5145
+    },
+    {
+      "entropy": 5.345515966415405,
+      "epoch": 4.266777133388567,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003610151950352994,
+      "loss": 4.9794,
+      "mean_token_accuracy": 0.19499585926532745,
+      "num_tokens": 9382683.0,
+      "step": 5150
+    },
+    {
+      "entropy": 5.306409788131714,
+      "epoch": 4.270919635459817,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0003607198248598137,
+      "loss": 4.9063,
+      "mean_token_accuracy": 0.194849793612957,
+      "num_tokens": 9391790.0,
+      "step": 5155
+    },
+    {
+      "entropy": 5.414876556396484,
+      "epoch": 4.2750621375310685,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0003604242817780739,
+      "loss": 4.9901,
+      "mean_token_accuracy": 0.19321189671754838,
+      "num_tokens": 9400234.0,
+      "step": 5160
+    },
+    {
+      "entropy": 5.350374364852906,
+      "epoch": 4.27920463960232,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00036012856638622273,
+      "loss": 4.9079,
+      "mean_token_accuracy": 0.19192621409893035,
+      "num_tokens": 9409513.0,
+      "step": 5165
+    },
+    {
+      "entropy": 5.292260932922363,
+      "epoch": 4.283347141673571,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003598326792807504,
+      "loss": 4.9821,
+      "mean_token_accuracy": 0.18258902430534363,
+      "num_tokens": 9418608.0,
+      "step": 5170
+    },
+    {
+      "entropy": 5.427756977081299,
+      "epoch": 4.287489643744822,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00035953662105849357,
+      "loss": 5.0092,
+      "mean_token_accuracy": 0.19452760964632035,
+      "num_tokens": 9428705.0,
+      "step": 5175
+    },
+    {
+      "entropy": 5.3185462474823,
+      "epoch": 4.291632145816073,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.000359240392316634,
+      "loss": 4.9177,
+      "mean_token_accuracy": 0.18542011678218842,
+      "num_tokens": 9438149.0,
+      "step": 5180
+    },
+    {
+      "entropy": 5.330511379241943,
+      "epoch": 4.295774647887324,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003589439936526974,
+      "loss": 4.8709,
+      "mean_token_accuracy": 0.19628295600414275,
+      "num_tokens": 9447566.0,
+      "step": 5185
+    },
+    {
+      "entropy": 5.303903436660766,
+      "epoch": 4.299917149958575,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003586474256645525,
+      "loss": 4.9641,
+      "mean_token_accuracy": 0.1915314257144928,
+      "num_tokens": 9458156.0,
+      "step": 5190
+    },
+    {
+      "entropy": 5.410308837890625,
+      "epoch": 4.304059652029826,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035835068895040905,
+      "loss": 5.0014,
+      "mean_token_accuracy": 0.19137390553951264,
+      "num_tokens": 9467388.0,
+      "step": 5195
+    },
+    {
+      "entropy": 5.388073253631592,
+      "epoch": 4.308202154101077,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.00035805378410881753,
+      "loss": 4.9642,
+      "mean_token_accuracy": 0.1940509021282196,
+      "num_tokens": 9477515.0,
+      "step": 5200
+    },
+    {
+      "entropy": 5.389194107055664,
+      "epoch": 4.312344656172328,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003577567117386675,
+      "loss": 4.9854,
+      "mean_token_accuracy": 0.1937498316168785,
+      "num_tokens": 9485851.0,
+      "step": 5205
+    },
+    {
+      "entropy": 5.377271747589111,
+      "epoch": 4.3164871582435795,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003574594724391863,
+      "loss": 4.9773,
+      "mean_token_accuracy": 0.18631901144981383,
+      "num_tokens": 9495523.0,
+      "step": 5210
+    },
+    {
+      "entropy": 5.303675985336303,
+      "epoch": 4.32062966031483,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003571620668099382,
+      "loss": 4.9104,
+      "mean_token_accuracy": 0.19740363359451293,
+      "num_tokens": 9504195.0,
+      "step": 5215
+    },
+    {
+      "entropy": 5.377063655853272,
+      "epoch": 4.324772162386081,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003568644954508227,
+      "loss": 4.9616,
+      "mean_token_accuracy": 0.1940310388803482,
+      "num_tokens": 9513313.0,
+      "step": 5220
+    },
+    {
+      "entropy": 5.400073862075805,
+      "epoch": 4.328914664457332,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003565667589620739,
+      "loss": 5.0313,
+      "mean_token_accuracy": 0.18615816980600358,
+      "num_tokens": 9522387.0,
+      "step": 5225
+    },
+    {
+      "entropy": 5.380652332305909,
+      "epoch": 4.333057166528583,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003562688579442588,
+      "loss": 4.9582,
+      "mean_token_accuracy": 0.1893748164176941,
+      "num_tokens": 9531522.0,
+      "step": 5230
+    },
+    {
+      "entropy": 5.349949216842651,
+      "epoch": 4.337199668599834,
+      "grad_norm": 1.6171875,
+      "learning_rate": 0.00035597079299827625,
+      "loss": 4.9875,
+      "mean_token_accuracy": 0.18508986830711366,
+      "num_tokens": 9540248.0,
+      "step": 5235
+    },
+    {
+      "entropy": 5.3083008289337155,
+      "epoch": 4.341342170671085,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035567256472535585,
+      "loss": 4.9192,
+      "mean_token_accuracy": 0.19538334757089615,
+      "num_tokens": 9549850.0,
+      "step": 5240
+    },
+    {
+      "entropy": 5.325525283813477,
+      "epoch": 4.345484672742336,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003553741737270566,
+      "loss": 4.9167,
+      "mean_token_accuracy": 0.19581695050001144,
+      "num_tokens": 9558929.0,
+      "step": 5245
+    },
+    {
+      "entropy": 5.291470670700074,
+      "epoch": 4.3496271748135875,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00035507562060526574,
+      "loss": 4.9163,
+      "mean_token_accuracy": 0.19085376411676408,
+      "num_tokens": 9567627.0,
+      "step": 5250
+    },
+    {
+      "entropy": 5.419774055480957,
+      "epoch": 4.353769676884839,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035477690596219763,
+      "loss": 5.0513,
+      "mean_token_accuracy": 0.18172826021909713,
+      "num_tokens": 9576223.0,
+      "step": 5255
+    },
+    {
+      "entropy": 5.422041416168213,
+      "epoch": 4.35791217895609,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00035447803040039225,
+      "loss": 5.0178,
+      "mean_token_accuracy": 0.1885324940085411,
+      "num_tokens": 9585510.0,
+      "step": 5260
+    },
+    {
+      "entropy": 5.344962453842163,
+      "epoch": 4.362054681027341,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0003541789945227143,
+      "loss": 4.9361,
+      "mean_token_accuracy": 0.1920488640666008,
+      "num_tokens": 9594843.0,
+      "step": 5265
+    },
+    {
+      "entropy": 5.401527786254883,
+      "epoch": 4.366197183098592,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00035387979893235184,
+      "loss": 4.9467,
+      "mean_token_accuracy": 0.19816664457321168,
+      "num_tokens": 9604142.0,
+      "step": 5270
+    },
+    {
+      "entropy": 5.339557313919068,
+      "epoch": 4.370339685169842,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003535804442328151,
+      "loss": 4.994,
+      "mean_token_accuracy": 0.197935588657856,
+      "num_tokens": 9613669.0,
+      "step": 5275
+    },
+    {
+      "entropy": 5.395236444473267,
+      "epoch": 4.374482187241093,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00035328093102793506,
+      "loss": 4.9843,
+      "mean_token_accuracy": 0.19234263002872468,
+      "num_tokens": 9623502.0,
+      "step": 5280
+    },
+    {
+      "entropy": 5.377492380142212,
+      "epoch": 4.378624689312344,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00035298125992186283,
+      "loss": 4.9784,
+      "mean_token_accuracy": 0.1910512089729309,
+      "num_tokens": 9632041.0,
+      "step": 5285
+    },
+    {
+      "entropy": 5.310422706604004,
+      "epoch": 4.3827671913835955,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00035268143151906764,
+      "loss": 4.9853,
+      "mean_token_accuracy": 0.18939480930566788,
+      "num_tokens": 9641442.0,
+      "step": 5290
+    },
+    {
+      "entropy": 5.356794643402099,
+      "epoch": 4.386909693454847,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00035238144642433616,
+      "loss": 4.956,
+      "mean_token_accuracy": 0.19045386761426925,
+      "num_tokens": 9650857.0,
+      "step": 5295
+    },
+    {
+      "entropy": 5.461606073379516,
+      "epoch": 4.391052195526098,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.000352081305242771,
+      "loss": 4.9906,
+      "mean_token_accuracy": 0.1938766911625862,
+      "num_tokens": 9659173.0,
+      "step": 5300
+    },
+    {
+      "entropy": 5.355851411819458,
+      "epoch": 4.395194697597349,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00035178100857978994,
+      "loss": 4.9344,
+      "mean_token_accuracy": 0.19574909955263137,
+      "num_tokens": 9668114.0,
+      "step": 5305
+    },
+    {
+      "entropy": 5.261717939376831,
+      "epoch": 4.3993371996686,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00035148055704112405,
+      "loss": 4.9927,
+      "mean_token_accuracy": 0.1930756837129593,
+      "num_tokens": 9676628.0,
+      "step": 5310
+    },
+    {
+      "entropy": 5.305881071090698,
+      "epoch": 4.403479701739851,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003511799512328168,
+      "loss": 4.8897,
+      "mean_token_accuracy": 0.19723279178142547,
+      "num_tokens": 9685801.0,
+      "step": 5315
+    },
+    {
+      "entropy": 5.3678816795349125,
+      "epoch": 4.407622203811102,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003508791917612232,
+      "loss": 4.9677,
+      "mean_token_accuracy": 0.18847441226243972,
+      "num_tokens": 9694237.0,
+      "step": 5320
+    },
+    {
+      "entropy": 5.357159948348999,
+      "epoch": 4.411764705882353,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00035057827923300785,
+      "loss": 4.887,
+      "mean_token_accuracy": 0.1993523895740509,
+      "num_tokens": 9701904.0,
+      "step": 5325
+    },
+    {
+      "entropy": 5.308569765090942,
+      "epoch": 4.415907207953604,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00035027721425514414,
+      "loss": 4.8661,
+      "mean_token_accuracy": 0.20139306634664536,
+      "num_tokens": 9710784.0,
+      "step": 5330
+    },
+    {
+      "entropy": 5.310255718231201,
+      "epoch": 4.4200497100248555,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003499759974349131,
+      "loss": 4.9969,
+      "mean_token_accuracy": 0.19186950027942656,
+      "num_tokens": 9720452.0,
+      "step": 5335
+    },
+    {
+      "entropy": 5.335639381408692,
+      "epoch": 4.424192212096106,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00034967462937990194,
+      "loss": 4.9619,
+      "mean_token_accuracy": 0.18502581119537354,
+      "num_tokens": 9729122.0,
+      "step": 5340
+    },
+    {
+      "entropy": 5.414971780776978,
+      "epoch": 4.428334714167357,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000349373110698003,
+      "loss": 5.0216,
+      "mean_token_accuracy": 0.18420466929674148,
+      "num_tokens": 9738756.0,
+      "step": 5345
+    },
+    {
+      "entropy": 5.406450796127319,
+      "epoch": 4.432477216238608,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003490714419974124,
+      "loss": 5.0113,
+      "mean_token_accuracy": 0.1904602199792862,
+      "num_tokens": 9748547.0,
+      "step": 5350
+    },
+    {
+      "entropy": 5.358873558044434,
+      "epoch": 4.436619718309859,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034876962388662885,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.18162461519241332,
+      "num_tokens": 9758421.0,
+      "step": 5355
+    },
+    {
+      "entropy": 5.277571201324463,
+      "epoch": 4.44076222038111,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003484676569744525,
+      "loss": 4.8563,
+      "mean_token_accuracy": 0.19333565086126328,
+      "num_tokens": 9766855.0,
+      "step": 5360
+    },
+    {
+      "entropy": 5.348770189285278,
+      "epoch": 4.444904722452361,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003481655418699836,
+      "loss": 4.9589,
+      "mean_token_accuracy": 0.1960444375872612,
+      "num_tokens": 9776157.0,
+      "step": 5365
+    },
+    {
+      "entropy": 5.279411029815674,
+      "epoch": 4.449047224523612,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00034786327918262126,
+      "loss": 4.8489,
+      "mean_token_accuracy": 0.2087496116757393,
+      "num_tokens": 9784386.0,
+      "step": 5370
+    },
+    {
+      "entropy": 5.354473733901978,
+      "epoch": 4.4531897265948635,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.00034756086952206255,
+      "loss": 4.9009,
+      "mean_token_accuracy": 0.1958460658788681,
+      "num_tokens": 9793838.0,
+      "step": 5375
+    },
+    {
+      "entropy": 5.353402185440063,
+      "epoch": 4.457332228666115,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003472583134983005,
+      "loss": 4.9971,
+      "mean_token_accuracy": 0.19221619367599488,
+      "num_tokens": 9802595.0,
+      "step": 5380
+    },
+    {
+      "entropy": 5.384884357452393,
+      "epoch": 4.461474730737366,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00034695561172162396,
+      "loss": 4.9775,
+      "mean_token_accuracy": 0.19024742841720582,
+      "num_tokens": 9811309.0,
+      "step": 5385
+    },
+    {
+      "entropy": 5.2829090595245365,
+      "epoch": 4.465617232808617,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00034665276480261526,
+      "loss": 4.9139,
+      "mean_token_accuracy": 0.1915873184800148,
+      "num_tokens": 9820327.0,
+      "step": 5390
+    },
+    {
+      "entropy": 5.351649951934815,
+      "epoch": 4.469759734879867,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0003463497733521499,
+      "loss": 4.9852,
+      "mean_token_accuracy": 0.18354866653680801,
+      "num_tokens": 9829588.0,
+      "step": 5395
+    },
+    {
+      "entropy": 5.42580213546753,
+      "epoch": 4.473902236951118,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003460466379813947,
+      "loss": 4.9887,
+      "mean_token_accuracy": 0.18973219394683838,
+      "num_tokens": 9838548.0,
+      "step": 5400
+    },
+    {
+      "entropy": 5.335280847549439,
+      "epoch": 4.478044739022369,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003457433593018068,
+      "loss": 5.0018,
+      "mean_token_accuracy": 0.18838239908218385,
+      "num_tokens": 9847925.0,
+      "step": 5405
+    },
+    {
+      "entropy": 5.396121597290039,
+      "epoch": 4.48218724109362,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00034543993792513243,
+      "loss": 5.0169,
+      "mean_token_accuracy": 0.18753209412097932,
+      "num_tokens": 9856839.0,
+      "step": 5410
+    },
+    {
+      "entropy": 5.37349534034729,
+      "epoch": 4.486329743164871,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003451363744634057,
+      "loss": 4.978,
+      "mean_token_accuracy": 0.19382779747247697,
+      "num_tokens": 9866519.0,
+      "step": 5415
+    },
+    {
+      "entropy": 5.430073976516724,
+      "epoch": 4.4904722452361225,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00034483266952894725,
+      "loss": 5.0582,
+      "mean_token_accuracy": 0.19110478311777115,
+      "num_tokens": 9876866.0,
+      "step": 5420
+    },
+    {
+      "entropy": 5.440963220596314,
+      "epoch": 4.494614747307374,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0003445288237343632,
+      "loss": 5.0042,
+      "mean_token_accuracy": 0.1870105817914009,
+      "num_tokens": 9884639.0,
+      "step": 5425
+    },
+    {
+      "entropy": 5.332541465759277,
+      "epoch": 4.498757249378625,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003442248376925436,
+      "loss": 4.9715,
+      "mean_token_accuracy": 0.1879585549235344,
+      "num_tokens": 9893819.0,
+      "step": 5430
+    },
+    {
+      "entropy": 5.251445341110229,
+      "epoch": 4.502899751449876,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00034392071201666167,
+      "loss": 4.9164,
+      "mean_token_accuracy": 0.19130610078573226,
+      "num_tokens": 9902419.0,
+      "step": 5435
+    },
+    {
+      "entropy": 5.390727472305298,
+      "epoch": 4.507042253521127,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.000343616447320172,
+      "loss": 4.9565,
+      "mean_token_accuracy": 0.19780462980270386,
+      "num_tokens": 9912434.0,
+      "step": 5440
+    },
+    {
+      "entropy": 5.366470289230347,
+      "epoch": 4.511184755592378,
+      "grad_norm": 1.15625,
+      "learning_rate": 0.0003433120442168097,
+      "loss": 4.9114,
+      "mean_token_accuracy": 0.193550705909729,
+      "num_tokens": 9921800.0,
+      "step": 5445
+    },
+    {
+      "entropy": 5.316132354736328,
+      "epoch": 4.515327257663629,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00034300750332058924,
+      "loss": 4.9803,
+      "mean_token_accuracy": 0.18861733824014665,
+      "num_tokens": 9930863.0,
+      "step": 5450
+    },
+    {
+      "entropy": 5.340768337249756,
+      "epoch": 4.51946975973488,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003427028252458028,
+      "loss": 4.995,
+      "mean_token_accuracy": 0.1959969326853752,
+      "num_tokens": 9940524.0,
+      "step": 5455
+    },
+    {
+      "entropy": 5.398335361480713,
+      "epoch": 4.5236122618061305,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.0003423980106070194,
+      "loss": 4.98,
+      "mean_token_accuracy": 0.18993111699819565,
+      "num_tokens": 9948949.0,
+      "step": 5460
+    },
+    {
+      "entropy": 5.363409519195557,
+      "epoch": 4.527754763877382,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0003420930600190834,
+      "loss": 5.0007,
+      "mean_token_accuracy": 0.18487946093082427,
+      "num_tokens": 9958154.0,
+      "step": 5465
+    },
+    {
+      "entropy": 5.353360748291015,
+      "epoch": 4.531897265948633,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003417879740971135,
+      "loss": 4.8917,
+      "mean_token_accuracy": 0.19643958359956742,
+      "num_tokens": 9967023.0,
+      "step": 5470
+    },
+    {
+      "entropy": 5.392623519897461,
+      "epoch": 4.536039768019884,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0003414827534565014,
+      "loss": 4.9908,
+      "mean_token_accuracy": 0.18982938379049302,
+      "num_tokens": 9976596.0,
+      "step": 5475
+    },
+    {
+      "entropy": 5.358148193359375,
+      "epoch": 4.540182270091135,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00034117739871291036,
+      "loss": 4.8992,
+      "mean_token_accuracy": 0.19934887886047364,
+      "num_tokens": 9985330.0,
+      "step": 5480
+    },
+    {
+      "entropy": 5.35659613609314,
+      "epoch": 4.544324772162386,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00034087191048227445,
+      "loss": 5.032,
+      "mean_token_accuracy": 0.1861831620335579,
+      "num_tokens": 9996053.0,
+      "step": 5485
+    },
+    {
+      "entropy": 5.335864496231079,
+      "epoch": 4.548467274233637,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003405662893807967,
+      "loss": 4.9445,
+      "mean_token_accuracy": 0.1877502605319023,
+      "num_tokens": 10005517.0,
+      "step": 5490
+    },
+    {
+      "entropy": 5.389253044128418,
+      "epoch": 4.552609776304888,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003402605360249482,
+      "loss": 5.0416,
+      "mean_token_accuracy": 0.18830080330371857,
+      "num_tokens": 10014354.0,
+      "step": 5495
+    },
+    {
+      "entropy": 5.3128773212432865,
+      "epoch": 4.556752278376139,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000339954651031467,
+      "loss": 4.9238,
+      "mean_token_accuracy": 0.19178629368543626,
+      "num_tokens": 10023194.0,
+      "step": 5500
+    },
+    {
+      "epoch": 4.556752278376139,
+      "eval_entropy": 5.195640559898003,
+      "eval_loss": 5.80400276184082,
+      "eval_mean_token_accuracy": 0.15982486544323882,
+      "eval_num_tokens": 10023194.0,
+      "eval_runtime": 2.7416,
+      "eval_samples_per_second": 1366.696,
+      "eval_steps_per_second": 171.065,
+      "step": 5500
+    },
+    {
+      "entropy": 5.267048501968384,
+      "epoch": 4.5608947804473905,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00033964863501735647,
+      "loss": 4.9188,
+      "mean_token_accuracy": 0.19228280782699586,
+      "num_tokens": 10032490.0,
+      "step": 5505
+    },
+    {
+      "entropy": 5.392655229568481,
+      "epoch": 4.565037282518642,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00033934248859988453,
+      "loss": 4.9346,
+      "mean_token_accuracy": 0.19580908715724946,
+      "num_tokens": 10041613.0,
+      "step": 5510
+    },
+    {
+      "entropy": 5.262086534500122,
+      "epoch": 4.569179784589892,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003390362123965817,
+      "loss": 4.8733,
+      "mean_token_accuracy": 0.1911102056503296,
+      "num_tokens": 10050500.0,
+      "step": 5515
+    },
+    {
+      "entropy": 5.36342945098877,
+      "epoch": 4.573322286661144,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003387298070252407,
+      "loss": 4.9492,
+      "mean_token_accuracy": 0.1935834139585495,
+      "num_tokens": 10059650.0,
+      "step": 5520
+    },
+    {
+      "entropy": 5.337366104125977,
+      "epoch": 4.577464788732394,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003384232731039146,
+      "loss": 4.9844,
+      "mean_token_accuracy": 0.19709572941064835,
+      "num_tokens": 10067882.0,
+      "step": 5525
+    },
+    {
+      "entropy": 5.300627326965332,
+      "epoch": 4.581607290803645,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00033811661125091584,
+      "loss": 4.9253,
+      "mean_token_accuracy": 0.19670316576957703,
+      "num_tokens": 10077147.0,
+      "step": 5530
+    },
+    {
+      "entropy": 5.369974613189697,
+      "epoch": 4.585749792874896,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00033780982208481494,
+      "loss": 4.9829,
+      "mean_token_accuracy": 0.1897311642765999,
+      "num_tokens": 10086149.0,
+      "step": 5535
+    },
+    {
+      "entropy": 5.303711175918579,
+      "epoch": 4.589892294946147,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003375029062244392,
+      "loss": 4.9027,
+      "mean_token_accuracy": 0.20062701553106307,
+      "num_tokens": 10094997.0,
+      "step": 5540
+    },
+    {
+      "entropy": 5.461194086074829,
+      "epoch": 4.5940347970173985,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00033719586428887125,
+      "loss": 4.9635,
+      "mean_token_accuracy": 0.19236611425876618,
+      "num_tokens": 10103585.0,
+      "step": 5545
+    },
+    {
+      "entropy": 5.276572418212891,
+      "epoch": 4.59817729908865,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00033688869689744836,
+      "loss": 4.8715,
+      "mean_token_accuracy": 0.1956779330968857,
+      "num_tokens": 10113877.0,
+      "step": 5550
+    },
+    {
+      "entropy": 5.333914184570313,
+      "epoch": 4.602319801159901,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003365814046697608,
+      "loss": 4.9676,
+      "mean_token_accuracy": 0.1832288920879364,
+      "num_tokens": 10123127.0,
+      "step": 5555
+    },
+    {
+      "entropy": 5.39079098701477,
+      "epoch": 4.606462303231152,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003362739882256504,
+      "loss": 5.0347,
+      "mean_token_accuracy": 0.186669659614563,
+      "num_tokens": 10132301.0,
+      "step": 5560
+    },
+    {
+      "entropy": 5.369095230102539,
+      "epoch": 4.610604805302403,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0003359664481852099,
+      "loss": 5.0411,
+      "mean_token_accuracy": 0.18307175636291503,
+      "num_tokens": 10140985.0,
+      "step": 5565
+    },
+    {
+      "entropy": 5.309534072875977,
+      "epoch": 4.614747307373654,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00033565878516878103,
+      "loss": 4.9435,
+      "mean_token_accuracy": 0.186006298661232,
+      "num_tokens": 10149668.0,
+      "step": 5570
+    },
+    {
+      "entropy": 5.324404716491699,
+      "epoch": 4.618889809444905,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0003353509997969537,
+      "loss": 4.9982,
+      "mean_token_accuracy": 0.1883559986948967,
+      "num_tokens": 10158584.0,
+      "step": 5575
+    },
+    {
+      "entropy": 5.366722822189331,
+      "epoch": 4.623032311516155,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00033504309269056484,
+      "loss": 4.968,
+      "mean_token_accuracy": 0.19045166224241256,
+      "num_tokens": 10167657.0,
+      "step": 5580
+    },
+    {
+      "entropy": 5.274179601669312,
+      "epoch": 4.6271748135874065,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0003347350644706965,
+      "loss": 4.8462,
+      "mean_token_accuracy": 0.1975993499159813,
+      "num_tokens": 10176657.0,
+      "step": 5585
+    },
+    {
+      "entropy": 5.3866353034973145,
+      "epoch": 4.631317315658658,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003344269157586754,
+      "loss": 4.9669,
+      "mean_token_accuracy": 0.19621438384056092,
+      "num_tokens": 10185132.0,
+      "step": 5590
+    },
+    {
+      "entropy": 5.304204607009888,
+      "epoch": 4.635459817729909,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00033411864717607114,
+      "loss": 4.8497,
+      "mean_token_accuracy": 0.19386404007673264,
+      "num_tokens": 10193428.0,
+      "step": 5595
+    },
+    {
+      "entropy": 5.324200677871704,
+      "epoch": 4.63960231980116,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0003338102593446951,
+      "loss": 5.0163,
+      "mean_token_accuracy": 0.18838184028863908,
+      "num_tokens": 10202549.0,
+      "step": 5600
+    },
+    {
+      "entropy": 5.341615533828735,
+      "epoch": 4.643744821872411,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00033350175288659925,
+      "loss": 4.8885,
+      "mean_token_accuracy": 0.1946927636861801,
+      "num_tokens": 10211161.0,
+      "step": 5605
+    },
+    {
+      "entropy": 5.309947538375854,
+      "epoch": 4.647887323943662,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00033319312842407483,
+      "loss": 4.9923,
+      "mean_token_accuracy": 0.18832400739192962,
+      "num_tokens": 10220988.0,
+      "step": 5610
+    },
+    {
+      "entropy": 5.2807288646698,
+      "epoch": 4.652029826014913,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003328843865796511,
+      "loss": 4.8873,
+      "mean_token_accuracy": 0.19748056083917617,
+      "num_tokens": 10229383.0,
+      "step": 5615
+    },
+    {
+      "entropy": 5.421126461029052,
+      "epoch": 4.656172328086164,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00033257552797609426,
+      "loss": 4.9686,
+      "mean_token_accuracy": 0.18525946289300918,
+      "num_tokens": 10238622.0,
+      "step": 5620
+    },
+    {
+      "entropy": 5.506065034866333,
+      "epoch": 4.660314830157415,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00033226655323640553,
+      "loss": 5.0677,
+      "mean_token_accuracy": 0.18611674308776854,
+      "num_tokens": 10248201.0,
+      "step": 5625
+    },
+    {
+      "entropy": 5.445924186706543,
+      "epoch": 4.664457332228666,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.000331957462983821,
+      "loss": 5.0837,
+      "mean_token_accuracy": 0.17612475752830506,
+      "num_tokens": 10258239.0,
+      "step": 5630
+    },
+    {
+      "entropy": 5.377671623229981,
+      "epoch": 4.668599834299917,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0003316482578418094,
+      "loss": 4.9675,
+      "mean_token_accuracy": 0.1935265153646469,
+      "num_tokens": 10266915.0,
+      "step": 5635
+    },
+    {
+      "entropy": 5.348722076416015,
+      "epoch": 4.672742336371169,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00033133893843407126,
+      "loss": 5.0783,
+      "mean_token_accuracy": 0.18859633952379226,
+      "num_tokens": 10276826.0,
+      "step": 5640
+    },
+    {
+      "entropy": 5.327623510360718,
+      "epoch": 4.676884838442419,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00033102950538453776,
+      "loss": 4.9912,
+      "mean_token_accuracy": 0.19163501411676406,
+      "num_tokens": 10286041.0,
+      "step": 5645
+    },
+    {
+      "entropy": 5.367205619812012,
+      "epoch": 4.68102734051367,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00033071995931736897,
+      "loss": 5.0151,
+      "mean_token_accuracy": 0.19023409783840178,
+      "num_tokens": 10295258.0,
+      "step": 5650
+    },
+    {
+      "entropy": 5.404719638824463,
+      "epoch": 4.685169842584921,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00033041030085695323,
+      "loss": 4.9423,
+      "mean_token_accuracy": 0.19237637221813203,
+      "num_tokens": 10304726.0,
+      "step": 5655
+    },
+    {
+      "entropy": 5.34141435623169,
+      "epoch": 4.689312344656172,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003301005306279055,
+      "loss": 4.8745,
+      "mean_token_accuracy": 0.2018929526209831,
+      "num_tokens": 10312912.0,
+      "step": 5660
+    },
+    {
+      "entropy": 5.300086307525635,
+      "epoch": 4.693454846727423,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00032979064925506627,
+      "loss": 4.9743,
+      "mean_token_accuracy": 0.18896473944187164,
+      "num_tokens": 10322046.0,
+      "step": 5665
+    },
+    {
+      "entropy": 5.290521335601807,
+      "epoch": 4.697597348798674,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0003294806573634999,
+      "loss": 4.9263,
+      "mean_token_accuracy": 0.206088125705719,
+      "num_tokens": 10331375.0,
+      "step": 5670
+    },
+    {
+      "entropy": 5.353716802597046,
+      "epoch": 4.7017398508699255,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0003291705555784942,
+      "loss": 5.0624,
+      "mean_token_accuracy": 0.18850265592336654,
+      "num_tokens": 10341465.0,
+      "step": 5675
+    },
+    {
+      "entropy": 5.466339874267578,
+      "epoch": 4.705882352941177,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00032886034452555814,
+      "loss": 5.052,
+      "mean_token_accuracy": 0.18991907685995102,
+      "num_tokens": 10350137.0,
+      "step": 5680
+    },
+    {
+      "entropy": 5.3118266582489015,
+      "epoch": 4.710024855012428,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0003285500248304214,
+      "loss": 4.9502,
+      "mean_token_accuracy": 0.1877942368388176,
+      "num_tokens": 10358666.0,
+      "step": 5685
+    },
+    {
+      "entropy": 5.319189500808716,
+      "epoch": 4.714167357083679,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003282395971190328,
+      "loss": 4.8375,
+      "mean_token_accuracy": 0.19829211980104447,
+      "num_tokens": 10366910.0,
+      "step": 5690
+    },
+    {
+      "entropy": 5.377291250228882,
+      "epoch": 4.71830985915493,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00032792906201755876,
+      "loss": 5.0053,
+      "mean_token_accuracy": 0.19080002307891847,
+      "num_tokens": 10376435.0,
+      "step": 5695
+    },
+    {
+      "entropy": 5.293179368972778,
+      "epoch": 4.72245236122618,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00032761842015238256,
+      "loss": 4.8965,
+      "mean_token_accuracy": 0.2024861231446266,
+      "num_tokens": 10384670.0,
+      "step": 5700
+    },
+    {
+      "entropy": 5.261117172241211,
+      "epoch": 4.726594863297431,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003273076721501029,
+      "loss": 4.8845,
+      "mean_token_accuracy": 0.1939824104309082,
+      "num_tokens": 10393731.0,
+      "step": 5705
+    },
+    {
+      "entropy": 5.386179351806641,
+      "epoch": 4.730737365368682,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0003269968186375325,
+      "loss": 4.9916,
+      "mean_token_accuracy": 0.19829274713993073,
+      "num_tokens": 10402369.0,
+      "step": 5710
+    },
+    {
+      "entropy": 5.379951667785645,
+      "epoch": 4.7348798674399335,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0003266858602416967,
+      "loss": 4.9801,
+      "mean_token_accuracy": 0.1936841771006584,
+      "num_tokens": 10411566.0,
+      "step": 5715
+    },
+    {
+      "entropy": 5.384341192245484,
+      "epoch": 4.739022369511185,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032637479758983255,
+      "loss": 5.0294,
+      "mean_token_accuracy": 0.18491634279489516,
+      "num_tokens": 10420086.0,
+      "step": 5720
+    },
+    {
+      "entropy": 5.409085655212403,
+      "epoch": 4.743164871582436,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00032606363130938766,
+      "loss": 5.0704,
+      "mean_token_accuracy": 0.18897949457168578,
+      "num_tokens": 10429746.0,
+      "step": 5725
+    },
+    {
+      "entropy": 5.349277639389038,
+      "epoch": 4.747307373653687,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0003257523620280181,
+      "loss": 4.9498,
+      "mean_token_accuracy": 0.19129680693149567,
+      "num_tokens": 10438536.0,
+      "step": 5730
+    },
+    {
+      "entropy": 5.348873805999756,
+      "epoch": 4.751449875724938,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00032544099037358834,
+      "loss": 4.9497,
+      "mean_token_accuracy": 0.19692206382751465,
+      "num_tokens": 10447471.0,
+      "step": 5735
+    },
+    {
+      "entropy": 5.33362455368042,
+      "epoch": 4.755592377796189,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0003251295169741688,
+      "loss": 4.962,
+      "mean_token_accuracy": 0.1995266228914261,
+      "num_tokens": 10457179.0,
+      "step": 5740
+    },
+    {
+      "entropy": 5.327010250091552,
+      "epoch": 4.75973487986744,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00032481794245803536,
+      "loss": 5.0295,
+      "mean_token_accuracy": 0.18461760133504868,
+      "num_tokens": 10466291.0,
+      "step": 5745
+    },
+    {
+      "entropy": 5.323912620544434,
+      "epoch": 4.763877381938691,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00032450626745366806,
+      "loss": 4.9102,
+      "mean_token_accuracy": 0.19402227252721788,
+      "num_tokens": 10475452.0,
+      "step": 5750
+    },
+    {
+      "entropy": 5.306818199157715,
+      "epoch": 4.768019884009942,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00032419449258974924,
+      "loss": 4.8753,
+      "mean_token_accuracy": 0.20045212656259537,
+      "num_tokens": 10484381.0,
+      "step": 5755
+    },
+    {
+      "entropy": 5.342190933227539,
+      "epoch": 4.7721623860811935,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.000323882618495163,
+      "loss": 5.0665,
+      "mean_token_accuracy": 0.1831491023302078,
+      "num_tokens": 10495132.0,
+      "step": 5760
+    },
+    {
+      "entropy": 5.351349258422852,
+      "epoch": 4.776304888152444,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0003235706457989934,
+      "loss": 5.0246,
+      "mean_token_accuracy": 0.1850237250328064,
+      "num_tokens": 10504519.0,
+      "step": 5765
+    },
+    {
+      "entropy": 5.387107896804809,
+      "epoch": 4.780447390223695,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032325857513052354,
+      "loss": 4.9654,
+      "mean_token_accuracy": 0.19212980419397355,
+      "num_tokens": 10513575.0,
+      "step": 5770
+    },
+    {
+      "entropy": 5.396086692810059,
+      "epoch": 4.784589892294946,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000322946407119234,
+      "loss": 5.0554,
+      "mean_token_accuracy": 0.18998173326253892,
+      "num_tokens": 10522148.0,
+      "step": 5775
+    },
+    {
+      "entropy": 5.361077404022216,
+      "epoch": 4.788732394366197,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00032263414239480187,
+      "loss": 4.9891,
+      "mean_token_accuracy": 0.18589809089899062,
+      "num_tokens": 10531183.0,
+      "step": 5780
+    },
+    {
+      "entropy": 5.342947483062744,
+      "epoch": 4.792874896437448,
+      "grad_norm": 1.078125,
+      "learning_rate": 0.000322321781587099,
+      "loss": 4.9298,
+      "mean_token_accuracy": 0.19391343146562576,
+      "num_tokens": 10540677.0,
+      "step": 5785
+    },
+    {
+      "entropy": 5.276329088211059,
+      "epoch": 4.797017398508699,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0003220093253261915,
+      "loss": 4.9342,
+      "mean_token_accuracy": 0.18589555770158767,
+      "num_tokens": 10550009.0,
+      "step": 5790
+    },
+    {
+      "entropy": 5.315787076950073,
+      "epoch": 4.80115990057995,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003216967742423377,
+      "loss": 4.9621,
+      "mean_token_accuracy": 0.19312297254800798,
+      "num_tokens": 10559694.0,
+      "step": 5795
+    },
+    {
+      "entropy": 5.339448022842407,
+      "epoch": 4.8053024026512015,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003213841289659872,
+      "loss": 4.9613,
+      "mean_token_accuracy": 0.20080769211053848,
+      "num_tokens": 10567965.0,
+      "step": 5800
+    },
+    {
+      "entropy": 5.312955284118653,
+      "epoch": 4.809444904722453,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003210713901277799,
+      "loss": 4.9597,
+      "mean_token_accuracy": 0.19690640568733214,
+      "num_tokens": 10577653.0,
+      "step": 5805
+    },
+    {
+      "entropy": 5.359428977966308,
+      "epoch": 4.813587406793704,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.000320758558358544,
+      "loss": 4.9728,
+      "mean_token_accuracy": 0.18951950818300248,
+      "num_tokens": 10586903.0,
+      "step": 5810
+    },
+    {
+      "entropy": 5.302858638763428,
+      "epoch": 4.817729908864955,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003204456342892955,
+      "loss": 4.8829,
+      "mean_token_accuracy": 0.19500194638967513,
+      "num_tokens": 10595411.0,
+      "step": 5815
+    },
+    {
+      "entropy": 5.321697616577149,
+      "epoch": 4.821872410936205,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00032013261855123637,
+      "loss": 4.9475,
+      "mean_token_accuracy": 0.1907385230064392,
+      "num_tokens": 10604147.0,
+      "step": 5820
+    },
+    {
+      "entropy": 5.368891286849975,
+      "epoch": 4.826014913007457,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00031981951177575366,
+      "loss": 5.0445,
+      "mean_token_accuracy": 0.1850367307662964,
+      "num_tokens": 10614048.0,
+      "step": 5825
+    },
+    {
+      "entropy": 5.374803781509399,
+      "epoch": 4.830157415078707,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003195063145944178,
+      "loss": 5.0779,
+      "mean_token_accuracy": 0.18388603180646895,
+      "num_tokens": 10623399.0,
+      "step": 5830
+    },
+    {
+      "entropy": 5.389354228973389,
+      "epoch": 4.834299917149958,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003191930276389819,
+      "loss": 4.9183,
+      "mean_token_accuracy": 0.19506800919771194,
+      "num_tokens": 10632627.0,
+      "step": 5835
+    },
+    {
+      "entropy": 5.401239061355591,
+      "epoch": 4.838442419221209,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00031887965154137987,
+      "loss": 4.9726,
+      "mean_token_accuracy": 0.1816769301891327,
+      "num_tokens": 10641155.0,
+      "step": 5840
+    },
+    {
+      "entropy": 5.354168939590454,
+      "epoch": 4.8425849212924605,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003185661869337255,
+      "loss": 5.0118,
+      "mean_token_accuracy": 0.18452974855899812,
+      "num_tokens": 10649661.0,
+      "step": 5845
+    },
+    {
+      "entropy": 5.265790605545044,
+      "epoch": 4.846727423363712,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00031825263444831137,
+      "loss": 4.9151,
+      "mean_token_accuracy": 0.19235364347696304,
+      "num_tokens": 10658652.0,
+      "step": 5850
+    },
+    {
+      "entropy": 5.3790277481079105,
+      "epoch": 4.850869925434963,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0003179389947176069,
+      "loss": 5.0445,
+      "mean_token_accuracy": 0.1886226385831833,
+      "num_tokens": 10668703.0,
+      "step": 5855
+    },
+    {
+      "entropy": 5.385872554779053,
+      "epoch": 4.855012427506214,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0003176252683742578,
+      "loss": 4.9484,
+      "mean_token_accuracy": 0.19056980460882186,
+      "num_tokens": 10677740.0,
+      "step": 5860
+    },
+    {
+      "entropy": 5.347926044464112,
+      "epoch": 4.859154929577465,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003173114560510843,
+      "loss": 4.9447,
+      "mean_token_accuracy": 0.18929830342531204,
+      "num_tokens": 10686429.0,
+      "step": 5865
+    },
+    {
+      "entropy": 5.332098054885864,
+      "epoch": 4.863297431648716,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00031699755838108027,
+      "loss": 5.0442,
+      "mean_token_accuracy": 0.1941297546029091,
+      "num_tokens": 10696367.0,
+      "step": 5870
+    },
+    {
+      "entropy": 5.310936546325683,
+      "epoch": 4.867439933719967,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003166835759974115,
+      "loss": 4.9902,
+      "mean_token_accuracy": 0.1873769447207451,
+      "num_tokens": 10705712.0,
+      "step": 5875
+    },
+    {
+      "entropy": 5.371630382537842,
+      "epoch": 4.871582435791218,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031636950953341486,
+      "loss": 5.0345,
+      "mean_token_accuracy": 0.18638068735599517,
+      "num_tokens": 10715897.0,
+      "step": 5880
+    },
+    {
+      "entropy": 5.3334348678588865,
+      "epoch": 4.8757249378624685,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00031605535962259666,
+      "loss": 4.9268,
+      "mean_token_accuracy": 0.1887778237462044,
+      "num_tokens": 10724810.0,
+      "step": 5885
+    },
+    {
+      "entropy": 5.353308916091919,
+      "epoch": 4.87986743993372,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.0003157411268986316,
+      "loss": 4.9771,
+      "mean_token_accuracy": 0.1932398796081543,
+      "num_tokens": 10734661.0,
+      "step": 5890
+    },
+    {
+      "entropy": 5.287876415252685,
+      "epoch": 4.884009942004971,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0003154268119953615,
+      "loss": 4.9586,
+      "mean_token_accuracy": 0.19356854259967804,
+      "num_tokens": 10743642.0,
+      "step": 5895
+    },
+    {
+      "entropy": 5.344345998764038,
+      "epoch": 4.888152444076222,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003151124155467938,
+      "loss": 4.9607,
+      "mean_token_accuracy": 0.19625648856163025,
+      "num_tokens": 10752812.0,
+      "step": 5900
+    },
+    {
+      "entropy": 5.3407337188720705,
+      "epoch": 4.892294946147473,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00031479793818710056,
+      "loss": 4.9983,
+      "mean_token_accuracy": 0.18306475579738618,
+      "num_tokens": 10762117.0,
+      "step": 5905
+    },
+    {
+      "entropy": 5.299752902984619,
+      "epoch": 4.896437448218724,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031448338055061685,
+      "loss": 4.9018,
+      "mean_token_accuracy": 0.19901909530162812,
+      "num_tokens": 10771515.0,
+      "step": 5910
+    },
+    {
+      "entropy": 5.309285831451416,
+      "epoch": 4.900579950289975,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00031416874327183994,
+      "loss": 4.9486,
+      "mean_token_accuracy": 0.19302618503570557,
+      "num_tokens": 10780610.0,
+      "step": 5915
+    },
+    {
+      "entropy": 5.22410569190979,
+      "epoch": 4.904722452361226,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00031385402698542753,
+      "loss": 4.9151,
+      "mean_token_accuracy": 0.19276074767112733,
+      "num_tokens": 10789169.0,
+      "step": 5920
+    },
+    {
+      "entropy": 5.30161485671997,
+      "epoch": 4.908864954432477,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031353923232619674,
+      "loss": 4.9078,
+      "mean_token_accuracy": 0.19779694378376006,
+      "num_tokens": 10798636.0,
+      "step": 5925
+    },
+    {
+      "entropy": 5.3571271896362305,
+      "epoch": 4.9130074565037285,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003132243599291229,
+      "loss": 4.9753,
+      "mean_token_accuracy": 0.19644105434417725,
+      "num_tokens": 10808245.0,
+      "step": 5930
+    },
+    {
+      "entropy": 5.384200191497802,
+      "epoch": 4.91714995857498,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00031290941042933797,
+      "loss": 4.9679,
+      "mean_token_accuracy": 0.18787674605846405,
+      "num_tokens": 10817164.0,
+      "step": 5935
+    },
+    {
+      "entropy": 5.287544202804566,
+      "epoch": 4.92129246064623,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031259438446212953,
+      "loss": 5.0007,
+      "mean_token_accuracy": 0.18373542726039888,
+      "num_tokens": 10826098.0,
+      "step": 5940
+    },
+    {
+      "entropy": 5.33493857383728,
+      "epoch": 4.925434962717482,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00031227928266293933,
+      "loss": 5.0115,
+      "mean_token_accuracy": 0.18100205808877945,
+      "num_tokens": 10836427.0,
+      "step": 5945
+    },
+    {
+      "entropy": 5.345344829559326,
+      "epoch": 4.929577464788732,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00031196410566736215,
+      "loss": 4.9689,
+      "mean_token_accuracy": 0.19277302771806717,
+      "num_tokens": 10845804.0,
+      "step": 5950
+    },
+    {
+      "entropy": 5.3519449710845945,
+      "epoch": 4.933719966859983,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00031164885411114453,
+      "loss": 4.946,
+      "mean_token_accuracy": 0.1908810630440712,
+      "num_tokens": 10855951.0,
+      "step": 5955
+    },
+    {
+      "entropy": 5.301464605331421,
+      "epoch": 4.937862468931234,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00031133352863018315,
+      "loss": 5.079,
+      "mean_token_accuracy": 0.18923453092575074,
+      "num_tokens": 10865528.0,
+      "step": 5960
+    },
+    {
+      "entropy": 5.369193601608276,
+      "epoch": 4.942004971002485,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00031101812986052406,
+      "loss": 4.9936,
+      "mean_token_accuracy": 0.19839225262403487,
+      "num_tokens": 10874365.0,
+      "step": 5965
+    },
+    {
+      "entropy": 5.310976552963257,
+      "epoch": 4.9461474730737365,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00031070265843836107,
+      "loss": 4.9184,
+      "mean_token_accuracy": 0.1972976267337799,
+      "num_tokens": 10883034.0,
+      "step": 5970
+    },
+    {
+      "entropy": 5.323369884490967,
+      "epoch": 4.950289975144988,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0003103871150000345,
+      "loss": 4.9768,
+      "mean_token_accuracy": 0.1961338758468628,
+      "num_tokens": 10892307.0,
+      "step": 5975
+    },
+    {
+      "entropy": 5.354686069488525,
+      "epoch": 4.954432477216239,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00031007150018202983,
+      "loss": 5.057,
+      "mean_token_accuracy": 0.18536237627267838,
+      "num_tokens": 10902074.0,
+      "step": 5980
+    },
+    {
+      "entropy": 5.372721862792969,
+      "epoch": 4.95857497928749,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00030975581462097673,
+      "loss": 4.8961,
+      "mean_token_accuracy": 0.19350670725107194,
+      "num_tokens": 10911205.0,
+      "step": 5985
+    },
+    {
+      "entropy": 5.278085422515869,
+      "epoch": 4.962717481358741,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00030944005895364754,
+      "loss": 4.9233,
+      "mean_token_accuracy": 0.19045489132404328,
+      "num_tokens": 10920371.0,
+      "step": 5990
+    },
+    {
+      "entropy": 5.219862222671509,
+      "epoch": 4.966859983429992,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00030912423381695584,
+      "loss": 4.9124,
+      "mean_token_accuracy": 0.20015972554683686,
+      "num_tokens": 10928741.0,
+      "step": 5995
+    },
+    {
+      "entropy": 5.3216063499450685,
+      "epoch": 4.971002485501243,
+      "grad_norm": 1.640625,
+      "learning_rate": 0.00030880833984795554,
+      "loss": 4.9251,
+      "mean_token_accuracy": 0.20140086114406586,
+      "num_tokens": 10938074.0,
+      "step": 6000
+    },
+    {
+      "epoch": 4.971002485501243,
+      "eval_entropy": 5.223882782942196,
+      "eval_loss": 5.772702217102051,
+      "eval_mean_token_accuracy": 0.16291698060437307,
+      "eval_num_tokens": 10938074.0,
+      "eval_runtime": 2.7438,
+      "eval_samples_per_second": 1365.624,
+      "eval_steps_per_second": 170.931,
+      "step": 6000
+    },
+    {
+      "entropy": 5.304221105575562,
+      "epoch": 4.975144987572493,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0003084923776838392,
+      "loss": 4.9428,
+      "mean_token_accuracy": 0.1906152918934822,
+      "num_tokens": 10946756.0,
+      "step": 6005
+    },
+    {
+      "entropy": 5.28564419746399,
+      "epoch": 4.9792874896437445,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00030817634796193705,
+      "loss": 4.9192,
+      "mean_token_accuracy": 0.19711493700742722,
+      "num_tokens": 10956313.0,
+      "step": 6010
+    },
+    {
+      "entropy": 5.420253419876099,
+      "epoch": 4.983429991714996,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00030786025131971555,
+      "loss": 4.9823,
+      "mean_token_accuracy": 0.19457563310861586,
+      "num_tokens": 10964333.0,
+      "step": 6015
+    },
+    {
+      "entropy": 5.329161500930786,
+      "epoch": 4.987572493786247,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0003075440883947764,
+      "loss": 4.8999,
+      "mean_token_accuracy": 0.19664130955934525,
+      "num_tokens": 10974110.0,
+      "step": 6020
+    },
+    {
+      "entropy": 5.248602771759034,
+      "epoch": 4.991714995857498,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0003072278598248544,
+      "loss": 4.9529,
+      "mean_token_accuracy": 0.19656815081834794,
+      "num_tokens": 10983186.0,
+      "step": 6025
+    },
+    {
+      "entropy": 5.307998704910278,
+      "epoch": 4.995857497928749,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00030691156624781734,
+      "loss": 4.9377,
+      "mean_token_accuracy": 0.19932860583066941,
+      "num_tokens": 10992244.0,
+      "step": 6030
+    },
+    {
+      "entropy": 5.353039836883545,
+      "epoch": 5.0,
+      "grad_norm": 1.8515625,
+      "learning_rate": 0.000306595208301664,
+      "loss": 4.927,
+      "mean_token_accuracy": 0.20540354549884796,
+      "num_tokens": 11000005.0,
+      "step": 6035
+    },
+    {
+      "entropy": 5.336960649490356,
+      "epoch": 5.004142502071251,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00030627878662452273,
+      "loss": 4.7717,
+      "mean_token_accuracy": 0.20522954761981965,
+      "num_tokens": 11009346.0,
+      "step": 6040
+    },
+    {
+      "entropy": 5.356115531921387,
+      "epoch": 5.008285004142502,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003059623018546508,
+      "loss": 4.7197,
+      "mean_token_accuracy": 0.2092713624238968,
+      "num_tokens": 11017844.0,
+      "step": 6045
+    },
+    {
+      "entropy": 5.362998294830322,
+      "epoch": 5.012427506213753,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0003056457546304326,
+      "loss": 4.7531,
+      "mean_token_accuracy": 0.21363187432289124,
+      "num_tokens": 11026840.0,
+      "step": 6050
+    },
+    {
+      "entropy": 5.250718975067139,
+      "epoch": 5.016570008285004,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003053291455903782,
+      "loss": 4.7186,
+      "mean_token_accuracy": 0.2076275572180748,
+      "num_tokens": 11034906.0,
+      "step": 6055
+    },
+    {
+      "entropy": 5.263190746307373,
+      "epoch": 5.0207125103562555,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00030501247537312293,
+      "loss": 4.7802,
+      "mean_token_accuracy": 0.20651286244392394,
+      "num_tokens": 11044403.0,
+      "step": 6060
+    },
+    {
+      "entropy": 5.360515308380127,
+      "epoch": 5.024855012427507,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0003046957446174251,
+      "loss": 4.7387,
+      "mean_token_accuracy": 0.21264788061380385,
+      "num_tokens": 11052685.0,
+      "step": 6065
+    },
+    {
+      "entropy": 5.316996622085571,
+      "epoch": 5.028997514498757,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00030437895396216524,
+      "loss": 4.591,
+      "mean_token_accuracy": 0.21709324419498444,
+      "num_tokens": 11060830.0,
+      "step": 6070
+    },
+    {
+      "entropy": 5.315813970565796,
+      "epoch": 5.033140016570008,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.00030406210404634475,
+      "loss": 4.7708,
+      "mean_token_accuracy": 0.20373892933130264,
+      "num_tokens": 11070220.0,
+      "step": 6075
+    },
+    {
+      "entropy": 5.294347095489502,
+      "epoch": 5.037282518641259,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0003037451955090846,
+      "loss": 4.6847,
+      "mean_token_accuracy": 0.20420003384351731,
+      "num_tokens": 11079171.0,
+      "step": 6080
+    },
+    {
+      "entropy": 5.297221279144287,
+      "epoch": 5.04142502071251,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00030342822898962377,
+      "loss": 4.7697,
+      "mean_token_accuracy": 0.20524269640445708,
+      "num_tokens": 11089205.0,
+      "step": 6085
+    },
+    {
+      "entropy": 5.273457336425781,
+      "epoch": 5.045567522783761,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003031112051273185,
+      "loss": 4.7429,
+      "mean_token_accuracy": 0.21156702935695648,
+      "num_tokens": 11098339.0,
+      "step": 6090
+    },
+    {
+      "entropy": 5.299424123764038,
+      "epoch": 5.049710024855012,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0003027941245616405,
+      "loss": 4.6524,
+      "mean_token_accuracy": 0.21203886568546296,
+      "num_tokens": 11107218.0,
+      "step": 6095
+    },
+    {
+      "entropy": 5.3286974906921385,
+      "epoch": 5.0538525269262635,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0003024769879321761,
+      "loss": 4.7702,
+      "mean_token_accuracy": 0.2051073744893074,
+      "num_tokens": 11116457.0,
+      "step": 6100
+    },
+    {
+      "entropy": 5.300696182250976,
+      "epoch": 5.057995028997515,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0003021597958786243,
+      "loss": 4.7449,
+      "mean_token_accuracy": 0.20762935131788254,
+      "num_tokens": 11124834.0,
+      "step": 6105
+    },
+    {
+      "entropy": 5.288244676589966,
+      "epoch": 5.062137531068766,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0003018425490407962,
+      "loss": 4.76,
+      "mean_token_accuracy": 0.20868725776672364,
+      "num_tokens": 11133920.0,
+      "step": 6110
+    },
+    {
+      "entropy": 5.387529897689819,
+      "epoch": 5.066280033140017,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00030152524805861344,
+      "loss": 4.7597,
+      "mean_token_accuracy": 0.20800695270299913,
+      "num_tokens": 11143573.0,
+      "step": 6115
+    },
+    {
+      "entropy": 5.3629701137542725,
+      "epoch": 5.070422535211268,
+      "grad_norm": 1.1640625,
+      "learning_rate": 0.00030120789357210667,
+      "loss": 4.8139,
+      "mean_token_accuracy": 0.20669919848442078,
+      "num_tokens": 11154255.0,
+      "step": 6120
+    },
+    {
+      "entropy": 5.300123262405395,
+      "epoch": 5.074565037282519,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00030089048622141453,
+      "loss": 4.7241,
+      "mean_token_accuracy": 0.2095050945878029,
+      "num_tokens": 11163306.0,
+      "step": 6125
+    },
+    {
+      "entropy": 5.368470001220703,
+      "epoch": 5.078707539353769,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00030057302664678243,
+      "loss": 4.7569,
+      "mean_token_accuracy": 0.20853464156389237,
+      "num_tokens": 11172763.0,
+      "step": 6130
+    },
+    {
+      "entropy": 5.33392744064331,
+      "epoch": 5.08285004142502,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00030025551548856105,
+      "loss": 4.7413,
+      "mean_token_accuracy": 0.20951523035764694,
+      "num_tokens": 11182196.0,
+      "step": 6135
+    },
+    {
+      "entropy": 5.287980794906616,
+      "epoch": 5.0869925434962715,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002999379533872051,
+      "loss": 4.7905,
+      "mean_token_accuracy": 0.19804110527038574,
+      "num_tokens": 11192462.0,
+      "step": 6140
+    },
+    {
+      "entropy": 5.281665325164795,
+      "epoch": 5.091135045567523,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002996203409832719,
+      "loss": 4.7519,
+      "mean_token_accuracy": 0.2107569918036461,
+      "num_tokens": 11201805.0,
+      "step": 6145
+    },
+    {
+      "entropy": 5.31660532951355,
+      "epoch": 5.095277547638774,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002993026789174205,
+      "loss": 4.7322,
+      "mean_token_accuracy": 0.21754502654075622,
+      "num_tokens": 11210114.0,
+      "step": 6150
+    },
+    {
+      "entropy": 5.335706996917724,
+      "epoch": 5.099420049710025,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002989849678304099,
+      "loss": 4.8147,
+      "mean_token_accuracy": 0.20241696387529373,
+      "num_tokens": 11219725.0,
+      "step": 6155
+    },
+    {
+      "entropy": 5.308135366439819,
+      "epoch": 5.103562551781276,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00029866720836309817,
+      "loss": 4.7283,
+      "mean_token_accuracy": 0.20736500322818757,
+      "num_tokens": 11228583.0,
+      "step": 6160
+    },
+    {
+      "entropy": 5.3292882442474365,
+      "epoch": 5.107705053852527,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00029834940115644086,
+      "loss": 4.7472,
+      "mean_token_accuracy": 0.20635622441768647,
+      "num_tokens": 11237787.0,
+      "step": 6165
+    },
+    {
+      "entropy": 5.2917111873626705,
+      "epoch": 5.111847555923778,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002980315468514898,
+      "loss": 4.7704,
+      "mean_token_accuracy": 0.20057149082422257,
+      "num_tokens": 11247136.0,
+      "step": 6170
+    },
+    {
+      "entropy": 5.239889097213745,
+      "epoch": 5.115990057995029,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00029771364608939196,
+      "loss": 4.6994,
+      "mean_token_accuracy": 0.20981708765029908,
+      "num_tokens": 11256931.0,
+      "step": 6175
+    },
+    {
+      "entropy": 5.272354030609131,
+      "epoch": 5.12013256006628,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002973956995113878,
+      "loss": 4.6811,
+      "mean_token_accuracy": 0.20489206910133362,
+      "num_tokens": 11266457.0,
+      "step": 6180
+    },
+    {
+      "entropy": 5.272558641433716,
+      "epoch": 5.1242750621375315,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.0002970777077588103,
+      "loss": 4.6443,
+      "mean_token_accuracy": 0.2170465260744095,
+      "num_tokens": 11274239.0,
+      "step": 6185
+    },
+    {
+      "entropy": 5.282349872589111,
+      "epoch": 5.128417564208782,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0002967596714730837,
+      "loss": 4.7752,
+      "mean_token_accuracy": 0.20363858938217164,
+      "num_tokens": 11283239.0,
+      "step": 6190
+    },
+    {
+      "entropy": 5.285331869125367,
+      "epoch": 5.132560066280033,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00029644159129572185,
+      "loss": 4.7121,
+      "mean_token_accuracy": 0.2075791761279106,
+      "num_tokens": 11291662.0,
+      "step": 6195
+    },
+    {
+      "entropy": 5.2614960193634035,
+      "epoch": 5.136702568351284,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002961234678683272,
+      "loss": 4.7453,
+      "mean_token_accuracy": 0.21309943348169327,
+      "num_tokens": 11300165.0,
+      "step": 6200
+    },
+    {
+      "entropy": 5.323043155670166,
+      "epoch": 5.140845070422535,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0002958053018325896,
+      "loss": 4.7132,
+      "mean_token_accuracy": 0.21612811386585234,
+      "num_tokens": 11309729.0,
+      "step": 6205
+    },
+    {
+      "entropy": 5.375712585449219,
+      "epoch": 5.144987572493786,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002954870938302846,
+      "loss": 4.7657,
+      "mean_token_accuracy": 0.2033802881836891,
+      "num_tokens": 11318674.0,
+      "step": 6210
+    },
+    {
+      "entropy": 5.292187595367432,
+      "epoch": 5.149130074565037,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002951688445032726,
+      "loss": 4.7309,
+      "mean_token_accuracy": 0.21144932359457017,
+      "num_tokens": 11327583.0,
+      "step": 6215
+    },
+    {
+      "entropy": 5.326848030090332,
+      "epoch": 5.153272576636288,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002948505544934971,
+      "loss": 4.7639,
+      "mean_token_accuracy": 0.2049189493060112,
+      "num_tokens": 11338132.0,
+      "step": 6220
+    },
+    {
+      "entropy": 5.31851224899292,
+      "epoch": 5.1574150787075395,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.000294532224442984,
+      "loss": 4.7911,
+      "mean_token_accuracy": 0.20397177040576936,
+      "num_tokens": 11347210.0,
+      "step": 6225
+    },
+    {
+      "entropy": 5.275168132781983,
+      "epoch": 5.161557580778791,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00029421385499383976,
+      "loss": 4.6742,
+      "mean_token_accuracy": 0.22349916100502015,
+      "num_tokens": 11355479.0,
+      "step": 6230
+    },
+    {
+      "entropy": 5.348278999328613,
+      "epoch": 5.165700082850042,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00029389544678825035,
+      "loss": 4.8403,
+      "mean_token_accuracy": 0.19372698813676834,
+      "num_tokens": 11364518.0,
+      "step": 6235
+    },
+    {
+      "entropy": 5.247139596939087,
+      "epoch": 5.169842584921293,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00029357700046847985,
+      "loss": 4.737,
+      "mean_token_accuracy": 0.2046540141105652,
+      "num_tokens": 11373589.0,
+      "step": 6240
+    },
+    {
+      "entropy": 5.368101263046265,
+      "epoch": 5.173985086992544,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002932585166768694,
+      "loss": 4.7938,
+      "mean_token_accuracy": 0.20394597351551055,
+      "num_tokens": 11383209.0,
+      "step": 6245
+    },
+    {
+      "entropy": 5.315500497817993,
+      "epoch": 5.178127589063794,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00029293999605583545,
+      "loss": 4.7294,
+      "mean_token_accuracy": 0.20444581657648087,
+      "num_tokens": 11392012.0,
+      "step": 6250
+    },
+    {
+      "entropy": 5.282355690002442,
+      "epoch": 5.182270091135045,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00029262143924786905,
+      "loss": 4.7761,
+      "mean_token_accuracy": 0.20456164181232453,
+      "num_tokens": 11400489.0,
+      "step": 6255
+    },
+    {
+      "entropy": 5.2667319774627686,
+      "epoch": 5.186412593206296,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00029230284689553404,
+      "loss": 4.6817,
+      "mean_token_accuracy": 0.21175160706043245,
+      "num_tokens": 11409337.0,
+      "step": 6260
+    },
+    {
+      "entropy": 5.286681175231934,
+      "epoch": 5.190555095277547,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00029198421964146605,
+      "loss": 4.7382,
+      "mean_token_accuracy": 0.21787525415420533,
+      "num_tokens": 11418650.0,
+      "step": 6265
+    },
+    {
+      "entropy": 5.2383523941040036,
+      "epoch": 5.1946975973487985,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002916655581283709,
+      "loss": 4.747,
+      "mean_token_accuracy": 0.20590767711400987,
+      "num_tokens": 11427516.0,
+      "step": 6270
+    },
+    {
+      "entropy": 5.225810289382935,
+      "epoch": 5.19884009942005,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00029134686299902397,
+      "loss": 4.7223,
+      "mean_token_accuracy": 0.20668105334043502,
+      "num_tokens": 11435676.0,
+      "step": 6275
+    },
+    {
+      "entropy": 5.336339044570923,
+      "epoch": 5.202982601491301,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002910281348962679,
+      "loss": 4.7825,
+      "mean_token_accuracy": 0.1937339723110199,
+      "num_tokens": 11444520.0,
+      "step": 6280
+    },
+    {
+      "entropy": 5.342389440536499,
+      "epoch": 5.207125103562552,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00029070937446301225,
+      "loss": 4.7611,
+      "mean_token_accuracy": 0.20350439995527267,
+      "num_tokens": 11453759.0,
+      "step": 6285
+    },
+    {
+      "entropy": 5.377904796600342,
+      "epoch": 5.211267605633803,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002903905823422317,
+      "loss": 4.9078,
+      "mean_token_accuracy": 0.1901518851518631,
+      "num_tokens": 11463409.0,
+      "step": 6290
+    },
+    {
+      "entropy": 5.323945093154907,
+      "epoch": 5.215410107705054,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002900717591769646,
+      "loss": 4.7966,
+      "mean_token_accuracy": 0.20510322898626326,
+      "num_tokens": 11473440.0,
+      "step": 6295
+    },
+    {
+      "entropy": 5.27484130859375,
+      "epoch": 5.219552609776305,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002897529056103122,
+      "loss": 4.6336,
+      "mean_token_accuracy": 0.2183629482984543,
+      "num_tokens": 11482353.0,
+      "step": 6300
+    },
+    {
+      "entropy": 5.297479438781738,
+      "epoch": 5.223695111847556,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002894340222854371,
+      "loss": 4.7712,
+      "mean_token_accuracy": 0.20640946179628372,
+      "num_tokens": 11491331.0,
+      "step": 6305
+    },
+    {
+      "entropy": 5.215849542617798,
+      "epoch": 5.2278376139188065,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002891151098455617,
+      "loss": 4.7107,
+      "mean_token_accuracy": 0.20350281596183778,
+      "num_tokens": 11500553.0,
+      "step": 6310
+    },
+    {
+      "entropy": 5.170541191101075,
+      "epoch": 5.231980115990058,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002887961689339672,
+      "loss": 4.6526,
+      "mean_token_accuracy": 0.21051572561264037,
+      "num_tokens": 11509146.0,
+      "step": 6315
+    },
+    {
+      "entropy": 5.332199335098267,
+      "epoch": 5.236122618061309,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002884772001939924,
+      "loss": 4.7771,
+      "mean_token_accuracy": 0.20190449655056,
+      "num_tokens": 11518172.0,
+      "step": 6320
+    },
+    {
+      "entropy": 5.30375485420227,
+      "epoch": 5.24026512013256,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.000288158204269032,
+      "loss": 4.7764,
+      "mean_token_accuracy": 0.19927115142345428,
+      "num_tokens": 11527291.0,
+      "step": 6325
+    },
+    {
+      "entropy": 5.285002279281616,
+      "epoch": 5.244407622203811,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00028783918180253567,
+      "loss": 4.7763,
+      "mean_token_accuracy": 0.20877851247787477,
+      "num_tokens": 11536306.0,
+      "step": 6330
+    },
+    {
+      "entropy": 5.325639486312866,
+      "epoch": 5.248550124275062,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002875201334380066,
+      "loss": 4.801,
+      "mean_token_accuracy": 0.20768691897392272,
+      "num_tokens": 11545879.0,
+      "step": 6335
+    },
+    {
+      "entropy": 5.260626125335693,
+      "epoch": 5.252692626346313,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002872010598190002,
+      "loss": 4.7203,
+      "mean_token_accuracy": 0.21331494748592378,
+      "num_tokens": 11555067.0,
+      "step": 6340
+    },
+    {
+      "entropy": 5.273142910003662,
+      "epoch": 5.256835128417564,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002868819615891229,
+      "loss": 4.699,
+      "mean_token_accuracy": 0.211579430103302,
+      "num_tokens": 11563419.0,
+      "step": 6345
+    },
+    {
+      "entropy": 5.256633758544922,
+      "epoch": 5.260977630488815,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002865628393920305,
+      "loss": 4.7696,
+      "mean_token_accuracy": 0.207663132250309,
+      "num_tokens": 11573018.0,
+      "step": 6350
+    },
+    {
+      "entropy": 5.237578821182251,
+      "epoch": 5.2651201325600665,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.0002862436938714276,
+      "loss": 4.7003,
+      "mean_token_accuracy": 0.20862672179937364,
+      "num_tokens": 11581996.0,
+      "step": 6355
+    },
+    {
+      "entropy": 5.355519008636475,
+      "epoch": 5.269262634631318,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002859245256710654,
+      "loss": 4.7534,
+      "mean_token_accuracy": 0.20775581747293473,
+      "num_tokens": 11591706.0,
+      "step": 6360
+    },
+    {
+      "entropy": 5.319948673248291,
+      "epoch": 5.273405136702569,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002856053354347411,
+      "loss": 4.7813,
+      "mean_token_accuracy": 0.2074725329875946,
+      "num_tokens": 11600616.0,
+      "step": 6365
+    },
+    {
+      "entropy": 5.243834018707275,
+      "epoch": 5.27754763877382,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002852861238062963,
+      "loss": 4.6584,
+      "mean_token_accuracy": 0.21568063348531724,
+      "num_tokens": 11609650.0,
+      "step": 6370
+    },
+    {
+      "entropy": 5.26465950012207,
+      "epoch": 5.28169014084507,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002849668914296157,
+      "loss": 4.6998,
+      "mean_token_accuracy": 0.21142313480377198,
+      "num_tokens": 11618785.0,
+      "step": 6375
+    },
+    {
+      "entropy": 5.305418300628662,
+      "epoch": 5.285832642916321,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.000284647638948626,
+      "loss": 4.7576,
+      "mean_token_accuracy": 0.20556087791919708,
+      "num_tokens": 11628089.0,
+      "step": 6380
+    },
+    {
+      "entropy": 5.268257570266724,
+      "epoch": 5.289975144987572,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002843283670072942,
+      "loss": 4.8658,
+      "mean_token_accuracy": 0.19545172303915023,
+      "num_tokens": 11636954.0,
+      "step": 6385
+    },
+    {
+      "entropy": 5.275126600265503,
+      "epoch": 5.294117647058823,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0002840090762496268,
+      "loss": 4.7803,
+      "mean_token_accuracy": 0.20498874336481093,
+      "num_tokens": 11646719.0,
+      "step": 6390
+    },
+    {
+      "entropy": 5.340854024887085,
+      "epoch": 5.2982601491300745,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002836897673196681,
+      "loss": 4.7015,
+      "mean_token_accuracy": 0.20719585418701172,
+      "num_tokens": 11655589.0,
+      "step": 6395
+    },
+    {
+      "entropy": 5.227226972579956,
+      "epoch": 5.302402651201326,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00028337044086149913,
+      "loss": 4.7283,
+      "mean_token_accuracy": 0.20560554265975953,
+      "num_tokens": 11663703.0,
+      "step": 6400
+    },
+    {
+      "entropy": 5.296469211578369,
+      "epoch": 5.306545153272577,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00028305109751923616,
+      "loss": 4.8177,
+      "mean_token_accuracy": 0.20388006865978242,
+      "num_tokens": 11672643.0,
+      "step": 6405
+    },
+    {
+      "entropy": 5.270711994171142,
+      "epoch": 5.310687655343828,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00028273173793702967,
+      "loss": 4.673,
+      "mean_token_accuracy": 0.2078327417373657,
+      "num_tokens": 11681449.0,
+      "step": 6410
+    },
+    {
+      "entropy": 5.301759338378906,
+      "epoch": 5.314830157415079,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002824123627590629,
+      "loss": 4.7568,
+      "mean_token_accuracy": 0.19922166019678117,
+      "num_tokens": 11690820.0,
+      "step": 6415
+    },
+    {
+      "entropy": 5.291653823852539,
+      "epoch": 5.31897265948633,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002820929726295504,
+      "loss": 4.7858,
+      "mean_token_accuracy": 0.2068773627281189,
+      "num_tokens": 11699705.0,
+      "step": 6420
+    },
+    {
+      "entropy": 5.257635831832886,
+      "epoch": 5.323115161557581,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002817735681927371,
+      "loss": 4.7267,
+      "mean_token_accuracy": 0.21190525144338607,
+      "num_tokens": 11709417.0,
+      "step": 6425
+    },
+    {
+      "entropy": 5.305531692504883,
+      "epoch": 5.327257663628831,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00028145415009289644,
+      "loss": 4.7662,
+      "mean_token_accuracy": 0.2035451725125313,
+      "num_tokens": 11718661.0,
+      "step": 6430
+    },
+    {
+      "entropy": 5.240819025039673,
+      "epoch": 5.3314001657000825,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002811347189743297,
+      "loss": 4.7448,
+      "mean_token_accuracy": 0.21049206256866454,
+      "num_tokens": 11727568.0,
+      "step": 6435
+    },
+    {
+      "entropy": 5.250747394561768,
+      "epoch": 5.335542667771334,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00028081527548136446,
+      "loss": 4.6853,
+      "mean_token_accuracy": 0.2216053858399391,
+      "num_tokens": 11736615.0,
+      "step": 6440
+    },
+    {
+      "entropy": 5.348236608505249,
+      "epoch": 5.339685169842585,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.0002804958202583531,
+      "loss": 4.8181,
+      "mean_token_accuracy": 0.19986798763275146,
+      "num_tokens": 11747458.0,
+      "step": 6445
+    },
+    {
+      "entropy": 5.277511358261108,
+      "epoch": 5.343827671913836,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002801763539496718,
+      "loss": 4.7878,
+      "mean_token_accuracy": 0.2081502467393875,
+      "num_tokens": 11756279.0,
+      "step": 6450
+    },
+    {
+      "entropy": 5.279990530014038,
+      "epoch": 5.347970173985087,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002798568771997188,
+      "loss": 4.7942,
+      "mean_token_accuracy": 0.2071585923433304,
+      "num_tokens": 11765022.0,
+      "step": 6455
+    },
+    {
+      "entropy": 5.2339942932128904,
+      "epoch": 5.352112676056338,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002795373906529137,
+      "loss": 4.7376,
+      "mean_token_accuracy": 0.20560838282108307,
+      "num_tokens": 11774704.0,
+      "step": 6460
+    },
+    {
+      "entropy": 5.248803615570068,
+      "epoch": 5.356255178127589,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002792178949536959,
+      "loss": 4.6784,
+      "mean_token_accuracy": 0.21611350923776626,
+      "num_tokens": 11782309.0,
+      "step": 6465
+    },
+    {
+      "entropy": 5.28652811050415,
+      "epoch": 5.36039768019884,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000278898390746523,
+      "loss": 4.7467,
+      "mean_token_accuracy": 0.20095686316490174,
+      "num_tokens": 11792595.0,
+      "step": 6470
+    },
+    {
+      "entropy": 5.2047077178955075,
+      "epoch": 5.364540182270091,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00027857887867587005,
+      "loss": 4.7269,
+      "mean_token_accuracy": 0.21140239089727403,
+      "num_tokens": 11801536.0,
+      "step": 6475
+    },
+    {
+      "entropy": 5.271708583831787,
+      "epoch": 5.368682684341342,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002782593593862276,
+      "loss": 4.8229,
+      "mean_token_accuracy": 0.19779271334409715,
+      "num_tokens": 11810222.0,
+      "step": 6480
+    },
+    {
+      "entropy": 5.317666244506836,
+      "epoch": 5.3728251864125935,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002779398335221011,
+      "loss": 4.8066,
+      "mean_token_accuracy": 0.20721431225538253,
+      "num_tokens": 11819310.0,
+      "step": 6485
+    },
+    {
+      "entropy": 5.305458688735962,
+      "epoch": 5.376967688483845,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.0002776203017280092,
+      "loss": 4.7703,
+      "mean_token_accuracy": 0.19982181042432784,
+      "num_tokens": 11827916.0,
+      "step": 6490
+    },
+    {
+      "entropy": 5.217341518402099,
+      "epoch": 5.381110190555095,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00027730076464848225,
+      "loss": 4.7654,
+      "mean_token_accuracy": 0.20862893313169478,
+      "num_tokens": 11836770.0,
+      "step": 6495
+    },
+    {
+      "entropy": 5.276216888427735,
+      "epoch": 5.385252692626346,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00027698122292806174,
+      "loss": 4.7006,
+      "mean_token_accuracy": 0.21164953708648682,
+      "num_tokens": 11845917.0,
+      "step": 6500
+    },
+    {
+      "epoch": 5.385252692626346,
+      "eval_entropy": 5.213927641097925,
+      "eval_loss": 5.769200801849365,
+      "eval_mean_token_accuracy": 0.16407465213524508,
+      "eval_num_tokens": 11845917.0,
+      "eval_runtime": 2.9494,
+      "eval_samples_per_second": 1270.426,
+      "eval_steps_per_second": 159.015,
+      "step": 6500
+    },
+    {
+      "entropy": 5.290333843231201,
+      "epoch": 5.389395194697597,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.000276661677211298,
+      "loss": 4.7403,
+      "mean_token_accuracy": 0.20341738760471345,
+      "num_tokens": 11855118.0,
+      "step": 6505
+    },
+    {
+      "entropy": 5.278094148635864,
+      "epoch": 5.393537696768848,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002763421281427497,
+      "loss": 4.6794,
+      "mean_token_accuracy": 0.21257141679525376,
+      "num_tokens": 11863793.0,
+      "step": 6510
+    },
+    {
+      "entropy": 5.368717813491822,
+      "epoch": 5.397680198840099,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002760225763669823,
+      "loss": 4.8171,
+      "mean_token_accuracy": 0.197501078248024,
+      "num_tokens": 11873194.0,
+      "step": 6515
+    },
+    {
+      "entropy": 5.341726636886596,
+      "epoch": 5.40182270091135,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00027570302252856666,
+      "loss": 4.7747,
+      "mean_token_accuracy": 0.20519590526819229,
+      "num_tokens": 11882566.0,
+      "step": 6520
+    },
+    {
+      "entropy": 5.2676441192626955,
+      "epoch": 5.4059652029826015,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00027538346727207767,
+      "loss": 4.7475,
+      "mean_token_accuracy": 0.21314287781715394,
+      "num_tokens": 11892267.0,
+      "step": 6525
+    },
+    {
+      "entropy": 5.272220420837402,
+      "epoch": 5.410107705053853,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002750639112420934,
+      "loss": 4.7716,
+      "mean_token_accuracy": 0.21124217808246612,
+      "num_tokens": 11901440.0,
+      "step": 6530
+    },
+    {
+      "entropy": 5.270874547958374,
+      "epoch": 5.414250207125104,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00027474435508319304,
+      "loss": 4.8396,
+      "mean_token_accuracy": 0.20556266158819197,
+      "num_tokens": 11911259.0,
+      "step": 6535
+    },
+    {
+      "entropy": 5.265343093872071,
+      "epoch": 5.418392709196355,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00027442479943995645,
+      "loss": 4.7941,
+      "mean_token_accuracy": 0.2035036563873291,
+      "num_tokens": 11920467.0,
+      "step": 6540
+    },
+    {
+      "entropy": 5.283535575866699,
+      "epoch": 5.422535211267606,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002741052449569624,
+      "loss": 4.8089,
+      "mean_token_accuracy": 0.19865555614233016,
+      "num_tokens": 11929971.0,
+      "step": 6545
+    },
+    {
+      "entropy": 5.330445003509522,
+      "epoch": 5.426677713338857,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002737856922787869,
+      "loss": 4.8088,
+      "mean_token_accuracy": 0.19926221221685408,
+      "num_tokens": 11938585.0,
+      "step": 6550
+    },
+    {
+      "entropy": 5.301173543930053,
+      "epoch": 5.430820215410108,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00027346614205000277,
+      "loss": 4.7884,
+      "mean_token_accuracy": 0.20320066064596176,
+      "num_tokens": 11948264.0,
+      "step": 6555
+    },
+    {
+      "entropy": 5.329202175140381,
+      "epoch": 5.434962717481358,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00027314659491517777,
+      "loss": 4.7827,
+      "mean_token_accuracy": 0.2079697236418724,
+      "num_tokens": 11958459.0,
+      "step": 6560
+    },
+    {
+      "entropy": 5.296626996994019,
+      "epoch": 5.4391052195526095,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002728270515188733,
+      "loss": 4.7728,
+      "mean_token_accuracy": 0.20527158677577972,
+      "num_tokens": 11967994.0,
+      "step": 6565
+    },
+    {
+      "entropy": 5.325187683105469,
+      "epoch": 5.443247721623861,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002725075125056435,
+      "loss": 4.8235,
+      "mean_token_accuracy": 0.21111733317375184,
+      "num_tokens": 11976564.0,
+      "step": 6570
+    },
+    {
+      "entropy": 5.296580266952515,
+      "epoch": 5.447390223695112,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002721879785200333,
+      "loss": 4.7541,
+      "mean_token_accuracy": 0.21026979386806488,
+      "num_tokens": 11985682.0,
+      "step": 6575
+    },
+    {
+      "entropy": 5.34701886177063,
+      "epoch": 5.451532725766363,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002718684502065777,
+      "loss": 4.8138,
+      "mean_token_accuracy": 0.20367322415113448,
+      "num_tokens": 11995098.0,
+      "step": 6580
+    },
+    {
+      "entropy": 5.3261590003967285,
+      "epoch": 5.455675227837614,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00027154892820980024,
+      "loss": 4.8096,
+      "mean_token_accuracy": 0.206008443236351,
+      "num_tokens": 12004538.0,
+      "step": 6585
+    },
+    {
+      "entropy": 5.262662792205811,
+      "epoch": 5.459817729908865,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00027122941317421175,
+      "loss": 4.741,
+      "mean_token_accuracy": 0.21086378544569015,
+      "num_tokens": 12012568.0,
+      "step": 6590
+    },
+    {
+      "entropy": 5.287980222702027,
+      "epoch": 5.463960231980116,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.000270909905744309,
+      "loss": 4.776,
+      "mean_token_accuracy": 0.20741475820541383,
+      "num_tokens": 12021934.0,
+      "step": 6595
+    },
+    {
+      "entropy": 5.313226222991943,
+      "epoch": 5.468102734051367,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00027059040656457316,
+      "loss": 4.8104,
+      "mean_token_accuracy": 0.2010733589529991,
+      "num_tokens": 12031158.0,
+      "step": 6600
+    },
+    {
+      "entropy": 5.3314722061157225,
+      "epoch": 5.472245236122618,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002702709162794692,
+      "loss": 4.8078,
+      "mean_token_accuracy": 0.20088913142681122,
+      "num_tokens": 12040392.0,
+      "step": 6605
+    },
+    {
+      "entropy": 5.248980331420898,
+      "epoch": 5.4763877381938695,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00026995143553344394,
+      "loss": 4.6481,
+      "mean_token_accuracy": 0.21935920119285585,
+      "num_tokens": 12048412.0,
+      "step": 6610
+    },
+    {
+      "entropy": 5.258455896377564,
+      "epoch": 5.48053024026512,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00026963196497092483,
+      "loss": 4.7625,
+      "mean_token_accuracy": 0.20619691014289857,
+      "num_tokens": 12057681.0,
+      "step": 6615
+    },
+    {
+      "entropy": 5.290913534164429,
+      "epoch": 5.484672742336371,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00026931250523631905,
+      "loss": 4.7451,
+      "mean_token_accuracy": 0.20713003873825073,
+      "num_tokens": 12066243.0,
+      "step": 6620
+    },
+    {
+      "entropy": 5.215484523773194,
+      "epoch": 5.488815244407622,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026899305697401175,
+      "loss": 4.7545,
+      "mean_token_accuracy": 0.20806889086961747,
+      "num_tokens": 12075312.0,
+      "step": 6625
+    },
+    {
+      "entropy": 5.231590509414673,
+      "epoch": 5.492957746478873,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002686736208283649,
+      "loss": 4.7629,
+      "mean_token_accuracy": 0.20990005433559417,
+      "num_tokens": 12083990.0,
+      "step": 6630
+    },
+    {
+      "entropy": 5.376721620559692,
+      "epoch": 5.497100248550124,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00026835419744371627,
+      "loss": 4.8732,
+      "mean_token_accuracy": 0.19839346706867217,
+      "num_tokens": 12093301.0,
+      "step": 6635
+    },
+    {
+      "entropy": 5.241463851928711,
+      "epoch": 5.501242750621375,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002680347874643775,
+      "loss": 4.6882,
+      "mean_token_accuracy": 0.21418087482452391,
+      "num_tokens": 12102054.0,
+      "step": 6640
+    },
+    {
+      "entropy": 5.262872982025146,
+      "epoch": 5.505385252692626,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0002677153915346336,
+      "loss": 4.7708,
+      "mean_token_accuracy": 0.20341249853372573,
+      "num_tokens": 12111432.0,
+      "step": 6645
+    },
+    {
+      "entropy": 5.237018823623657,
+      "epoch": 5.5095277547638775,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002673960102987412,
+      "loss": 4.7032,
+      "mean_token_accuracy": 0.21349260658025743,
+      "num_tokens": 12120424.0,
+      "step": 6650
+    },
+    {
+      "entropy": 5.301366519927979,
+      "epoch": 5.513670256835129,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00026707664440092676,
+      "loss": 4.8377,
+      "mean_token_accuracy": 0.20626042485237123,
+      "num_tokens": 12130210.0,
+      "step": 6655
+    },
+    {
+      "entropy": 5.414148330688477,
+      "epoch": 5.51781275890638,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00026675729448538655,
+      "loss": 4.8269,
+      "mean_token_accuracy": 0.21095569282770157,
+      "num_tokens": 12139366.0,
+      "step": 6660
+    },
+    {
+      "entropy": 5.2740867137908936,
+      "epoch": 5.521955260977631,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00026643796119628404,
+      "loss": 4.6432,
+      "mean_token_accuracy": 0.21321782022714614,
+      "num_tokens": 12148385.0,
+      "step": 6665
+    },
+    {
+      "entropy": 5.290845537185669,
+      "epoch": 5.526097763048882,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002661186451777495,
+      "loss": 4.7822,
+      "mean_token_accuracy": 0.20492887496948242,
+      "num_tokens": 12156640.0,
+      "step": 6670
+    },
+    {
+      "entropy": 5.280693674087525,
+      "epoch": 5.530240265120133,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002657993470738781,
+      "loss": 4.8587,
+      "mean_token_accuracy": 0.19673615247011184,
+      "num_tokens": 12166532.0,
+      "step": 6675
+    },
+    {
+      "entropy": 5.24079852104187,
+      "epoch": 5.534382767191383,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026548006752872915,
+      "loss": 4.6934,
+      "mean_token_accuracy": 0.2146509751677513,
+      "num_tokens": 12175239.0,
+      "step": 6680
+    },
+    {
+      "entropy": 5.243715524673462,
+      "epoch": 5.538525269262634,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002651608071863244,
+      "loss": 4.7611,
+      "mean_token_accuracy": 0.20688466280698775,
+      "num_tokens": 12184588.0,
+      "step": 6685
+    },
+    {
+      "entropy": 5.333131456375122,
+      "epoch": 5.542667771333885,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00026484156669064665,
+      "loss": 4.8177,
+      "mean_token_accuracy": 0.20230551064014435,
+      "num_tokens": 12194140.0,
+      "step": 6690
+    },
+    {
+      "entropy": 5.310734224319458,
+      "epoch": 5.5468102734051365,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.000264522346685639,
+      "loss": 4.8193,
+      "mean_token_accuracy": 0.20696787536144257,
+      "num_tokens": 12203504.0,
+      "step": 6695
+    },
+    {
+      "entropy": 5.33381724357605,
+      "epoch": 5.550952775476388,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.0002642031478152031,
+      "loss": 4.7782,
+      "mean_token_accuracy": 0.207833394408226,
+      "num_tokens": 12212594.0,
+      "step": 6700
+    },
+    {
+      "entropy": 5.3383890151977536,
+      "epoch": 5.555095277547639,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00026388397072319786,
+      "loss": 4.8162,
+      "mean_token_accuracy": 0.2045178234577179,
+      "num_tokens": 12222101.0,
+      "step": 6705
+    },
+    {
+      "entropy": 5.29089732170105,
+      "epoch": 5.55923777961889,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0002635648160534385,
+      "loss": 4.8118,
+      "mean_token_accuracy": 0.20435990989208222,
+      "num_tokens": 12232118.0,
+      "step": 6710
+    },
+    {
+      "entropy": 5.352822351455688,
+      "epoch": 5.563380281690141,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00026324568444969473,
+      "loss": 4.7439,
+      "mean_token_accuracy": 0.20706239342689514,
+      "num_tokens": 12241275.0,
+      "step": 6715
+    },
+    {
+      "entropy": 5.245583724975586,
+      "epoch": 5.567522783761392,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00026292657655569,
+      "loss": 4.7375,
+      "mean_token_accuracy": 0.21279312521219254,
+      "num_tokens": 12251125.0,
+      "step": 6720
+    },
+    {
+      "entropy": 5.229356813430786,
+      "epoch": 5.571665285832643,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00026260749301509954,
+      "loss": 4.7241,
+      "mean_token_accuracy": 0.21198077648878097,
+      "num_tokens": 12260613.0,
+      "step": 6725
+    },
+    {
+      "entropy": 5.324583339691162,
+      "epoch": 5.575807787903894,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00026228843447155005,
+      "loss": 4.733,
+      "mean_token_accuracy": 0.2107634127140045,
+      "num_tokens": 12269878.0,
+      "step": 6730
+    },
+    {
+      "entropy": 5.270222854614258,
+      "epoch": 5.5799502899751445,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00026196940156861736,
+      "loss": 4.7819,
+      "mean_token_accuracy": 0.20616225749254227,
+      "num_tokens": 12278616.0,
+      "step": 6735
+    },
+    {
+      "entropy": 5.194797945022583,
+      "epoch": 5.584092792046396,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00026165039494982555,
+      "loss": 4.7068,
+      "mean_token_accuracy": 0.2110671728849411,
+      "num_tokens": 12287104.0,
+      "step": 6740
+    },
+    {
+      "entropy": 5.187378549575806,
+      "epoch": 5.588235294117647,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00026133141525864605,
+      "loss": 4.7357,
+      "mean_token_accuracy": 0.20822987705469131,
+      "num_tokens": 12296503.0,
+      "step": 6745
+    },
+    {
+      "entropy": 5.294446992874145,
+      "epoch": 5.592377796188898,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00026101246313849557,
+      "loss": 4.6989,
+      "mean_token_accuracy": 0.2123148426413536,
+      "num_tokens": 12306298.0,
+      "step": 6750
+    },
+    {
+      "entropy": 5.2862865924835205,
+      "epoch": 5.596520298260149,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0002606935392327356,
+      "loss": 4.7664,
+      "mean_token_accuracy": 0.20611962229013442,
+      "num_tokens": 12314826.0,
+      "step": 6755
+    },
+    {
+      "entropy": 5.258157396316529,
+      "epoch": 5.6006628003314,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00026037464418467035,
+      "loss": 4.7079,
+      "mean_token_accuracy": 0.21357058137655258,
+      "num_tokens": 12323776.0,
+      "step": 6760
+    },
+    {
+      "entropy": 5.312329053878784,
+      "epoch": 5.604805302402651,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002600557786375459,
+      "loss": 4.7819,
+      "mean_token_accuracy": 0.20854859054088593,
+      "num_tokens": 12332374.0,
+      "step": 6765
+    },
+    {
+      "entropy": 5.217779874801636,
+      "epoch": 5.608947804473902,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00025973694323454916,
+      "loss": 4.6354,
+      "mean_token_accuracy": 0.21756067872047424,
+      "num_tokens": 12341007.0,
+      "step": 6770
+    },
+    {
+      "entropy": 5.175305271148682,
+      "epoch": 5.613090306545153,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00025941813861880575,
+      "loss": 4.7114,
+      "mean_token_accuracy": 0.20966241657733917,
+      "num_tokens": 12350330.0,
+      "step": 6775
+    },
+    {
+      "entropy": 5.267894315719604,
+      "epoch": 5.6172328086164045,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00025909936543337957,
+      "loss": 4.7519,
+      "mean_token_accuracy": 0.1993374451994896,
+      "num_tokens": 12358592.0,
+      "step": 6780
+    },
+    {
+      "entropy": 5.290813016891479,
+      "epoch": 5.621375310687656,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002587806243212709,
+      "loss": 4.7692,
+      "mean_token_accuracy": 0.20917081385850905,
+      "num_tokens": 12368195.0,
+      "step": 6785
+    },
+    {
+      "entropy": 5.241605234146118,
+      "epoch": 5.625517812758907,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002584619159254154,
+      "loss": 4.7124,
+      "mean_token_accuracy": 0.20834194272756576,
+      "num_tokens": 12377206.0,
+      "step": 6790
+    },
+    {
+      "entropy": 5.247827816009521,
+      "epoch": 5.629660314830158,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00025814324088868276,
+      "loss": 4.7593,
+      "mean_token_accuracy": 0.21013118624687194,
+      "num_tokens": 12386595.0,
+      "step": 6795
+    },
+    {
+      "entropy": 5.175970602035522,
+      "epoch": 5.633802816901408,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00025782459985387526,
+      "loss": 4.6569,
+      "mean_token_accuracy": 0.2180004358291626,
+      "num_tokens": 12395923.0,
+      "step": 6800
+    },
+    {
+      "entropy": 5.269517803192139,
+      "epoch": 5.637945318972659,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002575059934637268,
+      "loss": 4.7985,
+      "mean_token_accuracy": 0.20669761300086975,
+      "num_tokens": 12405094.0,
+      "step": 6805
+    },
+    {
+      "entropy": 5.268765878677368,
+      "epoch": 5.64208782104391,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.0002571874223609012,
+      "loss": 4.7972,
+      "mean_token_accuracy": 0.20435070544481276,
+      "num_tokens": 12414834.0,
+      "step": 6810
+    },
+    {
+      "entropy": 5.294848012924194,
+      "epoch": 5.646230323115161,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00025686888718799136,
+      "loss": 4.7513,
+      "mean_token_accuracy": 0.20469613671302794,
+      "num_tokens": 12423485.0,
+      "step": 6815
+    },
+    {
+      "entropy": 5.368587017059326,
+      "epoch": 5.6503728251864125,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002565503885875173,
+      "loss": 4.7935,
+      "mean_token_accuracy": 0.20704300552606583,
+      "num_tokens": 12432149.0,
+      "step": 6820
+    },
+    {
+      "entropy": 5.2622401237487795,
+      "epoch": 5.654515327257664,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00025623192720192564,
+      "loss": 4.7433,
+      "mean_token_accuracy": 0.2119109019637108,
+      "num_tokens": 12441272.0,
+      "step": 6825
+    },
+    {
+      "entropy": 5.190871524810791,
+      "epoch": 5.658657829328915,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002559135036735877,
+      "loss": 4.7388,
+      "mean_token_accuracy": 0.20155471414327622,
+      "num_tokens": 12449318.0,
+      "step": 6830
+    },
+    {
+      "entropy": 5.168833065032959,
+      "epoch": 5.662800331400166,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00025559511864479864,
+      "loss": 4.6898,
+      "mean_token_accuracy": 0.21231105625629426,
+      "num_tokens": 12458473.0,
+      "step": 6835
+    },
+    {
+      "entropy": 5.313192129135132,
+      "epoch": 5.666942833471417,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002552767727577758,
+      "loss": 4.8113,
+      "mean_token_accuracy": 0.20445662438869477,
+      "num_tokens": 12467703.0,
+      "step": 6840
+    },
+    {
+      "entropy": 5.292496681213379,
+      "epoch": 5.671085335542668,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00025495846665465774,
+      "loss": 4.6938,
+      "mean_token_accuracy": 0.21795116513967513,
+      "num_tokens": 12476166.0,
+      "step": 6845
+    },
+    {
+      "entropy": 5.235640621185302,
+      "epoch": 5.675227837613919,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002546402009775024,
+      "loss": 4.7403,
+      "mean_token_accuracy": 0.20330073386430741,
+      "num_tokens": 12484880.0,
+      "step": 6850
+    },
+    {
+      "entropy": 5.31177544593811,
+      "epoch": 5.679370339685169,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00025432197636828663,
+      "loss": 4.8103,
+      "mean_token_accuracy": 0.20381423085927963,
+      "num_tokens": 12494208.0,
+      "step": 6855
+    },
+    {
+      "entropy": 5.334811210632324,
+      "epoch": 5.683512841756421,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002540037934689042,
+      "loss": 4.8024,
+      "mean_token_accuracy": 0.20098040848970414,
+      "num_tokens": 12503647.0,
+      "step": 6860
+    },
+    {
+      "entropy": 5.295432138442993,
+      "epoch": 5.687655343827672,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00025368565292116475,
+      "loss": 4.8225,
+      "mean_token_accuracy": 0.20177613645792009,
+      "num_tokens": 12512869.0,
+      "step": 6865
+    },
+    {
+      "entropy": 5.28051609992981,
+      "epoch": 5.691797845898923,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0002533675553667927,
+      "loss": 4.8747,
+      "mean_token_accuracy": 0.19059171974658967,
+      "num_tokens": 12523222.0,
+      "step": 6870
+    },
+    {
+      "entropy": 5.24097170829773,
+      "epoch": 5.695940347970174,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00025304950144742523,
+      "loss": 4.7456,
+      "mean_token_accuracy": 0.20784133225679396,
+      "num_tokens": 12532343.0,
+      "step": 6875
+    },
+    {
+      "entropy": 5.255422782897949,
+      "epoch": 5.700082850041425,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0002527314918046122,
+      "loss": 4.7467,
+      "mean_token_accuracy": 0.21441746652126312,
+      "num_tokens": 12541508.0,
+      "step": 6880
+    },
+    {
+      "entropy": 5.222242641448974,
+      "epoch": 5.704225352112676,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0002524135270798136,
+      "loss": 4.7731,
+      "mean_token_accuracy": 0.20265263617038726,
+      "num_tokens": 12550837.0,
+      "step": 6885
+    },
+    {
+      "entropy": 5.259101152420044,
+      "epoch": 5.708367854183927,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00025209560791439914,
+      "loss": 4.7223,
+      "mean_token_accuracy": 0.21348682641983033,
+      "num_tokens": 12559859.0,
+      "step": 6890
+    },
+    {
+      "entropy": 5.279586315155029,
+      "epoch": 5.712510356255178,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002517777349496465,
+      "loss": 4.8096,
+      "mean_token_accuracy": 0.20708946287631988,
+      "num_tokens": 12569137.0,
+      "step": 6895
+    },
+    {
+      "entropy": 5.332545948028565,
+      "epoch": 5.716652858326429,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002514599088267401,
+      "loss": 4.8391,
+      "mean_token_accuracy": 0.20370080918073655,
+      "num_tokens": 12578111.0,
+      "step": 6900
+    },
+    {
+      "entropy": 5.30065131187439,
+      "epoch": 5.72079536039768,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00025114213018677004,
+      "loss": 4.7826,
+      "mean_token_accuracy": 0.21398544907569886,
+      "num_tokens": 12587604.0,
+      "step": 6905
+    },
+    {
+      "entropy": 5.328654146194458,
+      "epoch": 5.7249378624689315,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002508243996707305,
+      "loss": 4.7982,
+      "mean_token_accuracy": 0.2033779114484787,
+      "num_tokens": 12596620.0,
+      "step": 6910
+    },
+    {
+      "entropy": 5.252767944335938,
+      "epoch": 5.729080364540183,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00025050671791951887,
+      "loss": 4.7682,
+      "mean_token_accuracy": 0.20568756759166718,
+      "num_tokens": 12605452.0,
+      "step": 6915
+    },
+    {
+      "entropy": 5.195128536224365,
+      "epoch": 5.733222866611433,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002501890855739337,
+      "loss": 4.6654,
+      "mean_token_accuracy": 0.22127037048339843,
+      "num_tokens": 12614009.0,
+      "step": 6920
+    },
+    {
+      "entropy": 5.287421989440918,
+      "epoch": 5.737365368682684,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00024987150327467414,
+      "loss": 4.8201,
+      "mean_token_accuracy": 0.2010796323418617,
+      "num_tokens": 12624135.0,
+      "step": 6925
+    },
+    {
+      "entropy": 5.221401596069336,
+      "epoch": 5.741507870753935,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024955397166233855,
+      "loss": 4.6474,
+      "mean_token_accuracy": 0.22327282428741455,
+      "num_tokens": 12632870.0,
+      "step": 6930
+    },
+    {
+      "entropy": 5.304728364944458,
+      "epoch": 5.745650372825186,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024923649137742276,
+      "loss": 4.8549,
+      "mean_token_accuracy": 0.1950896918773651,
+      "num_tokens": 12643606.0,
+      "step": 6935
+    },
+    {
+      "entropy": 5.385456705093384,
+      "epoch": 5.749792874896437,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.0002489190630603194,
+      "loss": 4.8834,
+      "mean_token_accuracy": 0.20502226054668427,
+      "num_tokens": 12652926.0,
+      "step": 6940
+    },
+    {
+      "entropy": 5.331468009948731,
+      "epoch": 5.753935376967688,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002486016873513159,
+      "loss": 4.8219,
+      "mean_token_accuracy": 0.20297979861497878,
+      "num_tokens": 12661841.0,
+      "step": 6945
+    },
+    {
+      "entropy": 5.257536315917969,
+      "epoch": 5.7580778790389395,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002482843648905937,
+      "loss": 4.7409,
+      "mean_token_accuracy": 0.2069641500711441,
+      "num_tokens": 12670527.0,
+      "step": 6950
+    },
+    {
+      "entropy": 5.216205167770386,
+      "epoch": 5.762220381110191,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002479670963182271,
+      "loss": 4.7365,
+      "mean_token_accuracy": 0.19854751229286194,
+      "num_tokens": 12680346.0,
+      "step": 6955
+    },
+    {
+      "entropy": 5.315979433059693,
+      "epoch": 5.766362883181442,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00024764988227418114,
+      "loss": 4.8273,
+      "mean_token_accuracy": 0.20946504771709443,
+      "num_tokens": 12691088.0,
+      "step": 6960
+    },
+    {
+      "entropy": 5.343829536437989,
+      "epoch": 5.770505385252693,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.0002473327233983116,
+      "loss": 4.7894,
+      "mean_token_accuracy": 0.20746862143278122,
+      "num_tokens": 12700296.0,
+      "step": 6965
+    },
+    {
+      "entropy": 5.241484355926514,
+      "epoch": 5.774647887323944,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0002470156203303622,
+      "loss": 4.7882,
+      "mean_token_accuracy": 0.20888512581586838,
+      "num_tokens": 12709595.0,
+      "step": 6970
+    },
+    {
+      "entropy": 5.276812028884888,
+      "epoch": 5.778790389395195,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.0002466985737099649,
+      "loss": 4.838,
+      "mean_token_accuracy": 0.20352406352758406,
+      "num_tokens": 12719052.0,
+      "step": 6975
+    },
+    {
+      "entropy": 5.237840700149536,
+      "epoch": 5.782932891466446,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002463815841766371,
+      "loss": 4.7033,
+      "mean_token_accuracy": 0.21847177892923356,
+      "num_tokens": 12727287.0,
+      "step": 6980
+    },
+    {
+      "entropy": 5.252689790725708,
+      "epoch": 5.787075393537696,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002460646523697813,
+      "loss": 4.7649,
+      "mean_token_accuracy": 0.2055829644203186,
+      "num_tokens": 12736511.0,
+      "step": 6985
+    },
+    {
+      "entropy": 5.295902395248413,
+      "epoch": 5.7912178956089475,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00024574777892868386,
+      "loss": 4.7758,
+      "mean_token_accuracy": 0.20809024274349214,
+      "num_tokens": 12745597.0,
+      "step": 6990
+    },
+    {
+      "entropy": 5.260382986068725,
+      "epoch": 5.795360397680199,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00024543096449251286,
+      "loss": 4.6362,
+      "mean_token_accuracy": 0.221256822347641,
+      "num_tokens": 12753492.0,
+      "step": 6995
+    },
+    {
+      "entropy": 5.3082959175109865,
+      "epoch": 5.79950289975145,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002451142097003177,
+      "loss": 4.7765,
+      "mean_token_accuracy": 0.21173641979694366,
+      "num_tokens": 12761999.0,
+      "step": 7000
+    },
+    {
+      "epoch": 5.79950289975145,
+      "eval_entropy": 5.159527343473455,
+      "eval_loss": 5.7473931312561035,
+      "eval_mean_token_accuracy": 0.1656088415525361,
+      "eval_num_tokens": 12761999.0,
+      "eval_runtime": 2.7553,
+      "eval_samples_per_second": 1359.941,
+      "eval_steps_per_second": 170.219,
+      "step": 7000
+    },
+    {
+      "entropy": 5.250266122817993,
+      "epoch": 5.803645401822701,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002447975151910276,
+      "loss": 4.6884,
+      "mean_token_accuracy": 0.20662099421024321,
+      "num_tokens": 12770922.0,
+      "step": 7005
+    },
+    {
+      "entropy": 5.225958204269409,
+      "epoch": 5.807787903893952,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00024448088160344974,
+      "loss": 4.72,
+      "mean_token_accuracy": 0.2077726110816002,
+      "num_tokens": 12779539.0,
+      "step": 7010
+    },
+    {
+      "entropy": 5.266984176635742,
+      "epoch": 5.811930405965203,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002441643095762688,
+      "loss": 4.7539,
+      "mean_token_accuracy": 0.20866499096155167,
+      "num_tokens": 12788121.0,
+      "step": 7015
+    },
+    {
+      "entropy": 5.206212854385376,
+      "epoch": 5.816072908036454,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.000243847799748045,
+      "loss": 4.6301,
+      "mean_token_accuracy": 0.21100328713655472,
+      "num_tokens": 12797390.0,
+      "step": 7020
+    },
+    {
+      "entropy": 5.249676036834717,
+      "epoch": 5.820215410107705,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00024353135275721356,
+      "loss": 4.8644,
+      "mean_token_accuracy": 0.19687919616699218,
+      "num_tokens": 12807876.0,
+      "step": 7025
+    },
+    {
+      "entropy": 5.184282016754151,
+      "epoch": 5.824357912178956,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00024321496924208235,
+      "loss": 4.6805,
+      "mean_token_accuracy": 0.2075910523533821,
+      "num_tokens": 12816496.0,
+      "step": 7030
+    },
+    {
+      "entropy": 5.282375478744507,
+      "epoch": 5.8285004142502075,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00024289864984083166,
+      "loss": 4.7571,
+      "mean_token_accuracy": 0.21421819925308228,
+      "num_tokens": 12825925.0,
+      "step": 7035
+    },
+    {
+      "entropy": 5.330373096466064,
+      "epoch": 5.832642916321458,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0002425823951915122,
+      "loss": 4.776,
+      "mean_token_accuracy": 0.20406203866004943,
+      "num_tokens": 12835479.0,
+      "step": 7040
+    },
+    {
+      "entropy": 5.227119112014771,
+      "epoch": 5.836785418392709,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002422662059320442,
+      "loss": 4.6764,
+      "mean_token_accuracy": 0.2194245144724846,
+      "num_tokens": 12844024.0,
+      "step": 7045
+    },
+    {
+      "entropy": 5.242313861846924,
+      "epoch": 5.84092792046396,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00024195008270021595,
+      "loss": 4.6767,
+      "mean_token_accuracy": 0.21089302152395248,
+      "num_tokens": 12852673.0,
+      "step": 7050
+    },
+    {
+      "entropy": 5.168107366561889,
+      "epoch": 5.845070422535211,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00024163402613368252,
+      "loss": 4.7042,
+      "mean_token_accuracy": 0.21519682556390762,
+      "num_tokens": 12861191.0,
+      "step": 7055
+    },
+    {
+      "entropy": 5.273849678039551,
+      "epoch": 5.849212924606462,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00024131803686996457,
+      "loss": 4.8483,
+      "mean_token_accuracy": 0.20502860397100447,
+      "num_tokens": 12870874.0,
+      "step": 7060
+    },
+    {
+      "entropy": 5.314899635314942,
+      "epoch": 5.853355426677713,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00024100211554644696,
+      "loss": 4.7741,
+      "mean_token_accuracy": 0.21026002764701843,
+      "num_tokens": 12879896.0,
+      "step": 7065
+    },
+    {
+      "entropy": 5.297897291183472,
+      "epoch": 5.857497928748964,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00024068626280037753,
+      "loss": 4.786,
+      "mean_token_accuracy": 0.20807335823774337,
+      "num_tokens": 12888665.0,
+      "step": 7070
+    },
+    {
+      "entropy": 5.261636590957641,
+      "epoch": 5.8616404308202155,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00024037047926886578,
+      "loss": 4.7416,
+      "mean_token_accuracy": 0.20277187824249268,
+      "num_tokens": 12897477.0,
+      "step": 7075
+    },
+    {
+      "entropy": 5.251101160049439,
+      "epoch": 5.865782932891467,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00024005476558888172,
+      "loss": 4.794,
+      "mean_token_accuracy": 0.2007831260561943,
+      "num_tokens": 12905934.0,
+      "step": 7080
+    },
+    {
+      "entropy": 5.255609798431396,
+      "epoch": 5.869925434962718,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002397391223972541,
+      "loss": 4.7929,
+      "mean_token_accuracy": 0.20374300181865693,
+      "num_tokens": 12915092.0,
+      "step": 7085
+    },
+    {
+      "entropy": 5.2630064487457275,
+      "epoch": 5.874067937033969,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00023942355033066993,
+      "loss": 4.8721,
+      "mean_token_accuracy": 0.19899580031633377,
+      "num_tokens": 12924775.0,
+      "step": 7090
+    },
+    {
+      "entropy": 5.329388093948364,
+      "epoch": 5.87821043910522,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00023910805002567244,
+      "loss": 4.7789,
+      "mean_token_accuracy": 0.2048063576221466,
+      "num_tokens": 12933677.0,
+      "step": 7095
+    },
+    {
+      "entropy": 5.261180973052978,
+      "epoch": 5.882352941176471,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002387926221186603,
+      "loss": 4.8017,
+      "mean_token_accuracy": 0.2079474300146103,
+      "num_tokens": 12942416.0,
+      "step": 7100
+    },
+    {
+      "entropy": 5.231311798095703,
+      "epoch": 5.886495443247721,
+      "grad_norm": 1.2109375,
+      "learning_rate": 0.00023847726724588608,
+      "loss": 4.7718,
+      "mean_token_accuracy": 0.21066755801439285,
+      "num_tokens": 12952284.0,
+      "step": 7105
+    },
+    {
+      "entropy": 5.278716087341309,
+      "epoch": 5.890637945318972,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002381619860434549,
+      "loss": 4.8123,
+      "mean_token_accuracy": 0.19911128133535386,
+      "num_tokens": 12960694.0,
+      "step": 7110
+    },
+    {
+      "entropy": 5.215971040725708,
+      "epoch": 5.894780447390223,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00023784677914732356,
+      "loss": 4.727,
+      "mean_token_accuracy": 0.20931341648101806,
+      "num_tokens": 12969138.0,
+      "step": 7115
+    },
+    {
+      "entropy": 5.292342042922973,
+      "epoch": 5.8989229494614746,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00023753164719329868,
+      "loss": 4.766,
+      "mean_token_accuracy": 0.20421497970819474,
+      "num_tokens": 12978518.0,
+      "step": 7120
+    },
+    {
+      "entropy": 5.309631299972534,
+      "epoch": 5.903065451532726,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00023721659081703595,
+      "loss": 4.7856,
+      "mean_token_accuracy": 0.2164353221654892,
+      "num_tokens": 12987506.0,
+      "step": 7125
+    },
+    {
+      "entropy": 5.2704308986663815,
+      "epoch": 5.907207953603977,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023690161065403838,
+      "loss": 4.7667,
+      "mean_token_accuracy": 0.20384967178106309,
+      "num_tokens": 12996259.0,
+      "step": 7130
+    },
+    {
+      "entropy": 5.284243488311768,
+      "epoch": 5.911350455675228,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002365867073396555,
+      "loss": 4.7914,
+      "mean_token_accuracy": 0.20621232688426971,
+      "num_tokens": 13005430.0,
+      "step": 7135
+    },
+    {
+      "entropy": 5.2192955493927,
+      "epoch": 5.915492957746479,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023627188150908174,
+      "loss": 4.7414,
+      "mean_token_accuracy": 0.21523537784814833,
+      "num_tokens": 13014915.0,
+      "step": 7140
+    },
+    {
+      "entropy": 5.267714023590088,
+      "epoch": 5.91963545981773,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00023595713379735494,
+      "loss": 4.7483,
+      "mean_token_accuracy": 0.20747244358062744,
+      "num_tokens": 13023471.0,
+      "step": 7145
+    },
+    {
+      "entropy": 5.29262957572937,
+      "epoch": 5.923777961888981,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00023564246483935602,
+      "loss": 4.7364,
+      "mean_token_accuracy": 0.20276205390691757,
+      "num_tokens": 13033270.0,
+      "step": 7150
+    },
+    {
+      "entropy": 5.26424388885498,
+      "epoch": 5.927920463960232,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002353278752698063,
+      "loss": 4.7029,
+      "mean_token_accuracy": 0.2120548114180565,
+      "num_tokens": 13043300.0,
+      "step": 7155
+    },
+    {
+      "entropy": 5.261445045471191,
+      "epoch": 5.9320629660314825,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002350133657232676,
+      "loss": 4.7627,
+      "mean_token_accuracy": 0.20174376368522645,
+      "num_tokens": 13052152.0,
+      "step": 7160
+    },
+    {
+      "entropy": 5.286171960830688,
+      "epoch": 5.9362054681027345,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002346989368341399,
+      "loss": 4.8033,
+      "mean_token_accuracy": 0.20869386494159697,
+      "num_tokens": 13061704.0,
+      "step": 7165
+    },
+    {
+      "entropy": 5.280704736709595,
+      "epoch": 5.940347970173985,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00023438458923666057,
+      "loss": 4.7209,
+      "mean_token_accuracy": 0.2152332365512848,
+      "num_tokens": 13071055.0,
+      "step": 7170
+    },
+    {
+      "entropy": 5.268754768371582,
+      "epoch": 5.944490472245236,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0002340703235649032,
+      "loss": 4.8331,
+      "mean_token_accuracy": 0.1926100879907608,
+      "num_tokens": 13080023.0,
+      "step": 7175
+    },
+    {
+      "entropy": 5.263068819046021,
+      "epoch": 5.948632974316487,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00023375614045277593,
+      "loss": 4.7536,
+      "mean_token_accuracy": 0.20691772699356079,
+      "num_tokens": 13088690.0,
+      "step": 7180
+    },
+    {
+      "entropy": 5.232177972793579,
+      "epoch": 5.952775476387738,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00023344204053402047,
+      "loss": 4.7377,
+      "mean_token_accuracy": 0.21229761391878127,
+      "num_tokens": 13097116.0,
+      "step": 7185
+    },
+    {
+      "entropy": 5.343814706802368,
+      "epoch": 5.956917978458989,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00023312802444221066,
+      "loss": 4.7995,
+      "mean_token_accuracy": 0.20769918113946914,
+      "num_tokens": 13106463.0,
+      "step": 7190
+    },
+    {
+      "entropy": 5.273978662490845,
+      "epoch": 5.96106048053024,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.0002328140928107511,
+      "loss": 4.7045,
+      "mean_token_accuracy": 0.21413260698318481,
+      "num_tokens": 13115769.0,
+      "step": 7195
+    },
+    {
+      "entropy": 5.293670988082885,
+      "epoch": 5.965202982601491,
+      "grad_norm": 1.6875,
+      "learning_rate": 0.0002325002462728766,
+      "loss": 4.8058,
+      "mean_token_accuracy": 0.20858496129512788,
+      "num_tokens": 13124928.0,
+      "step": 7200
+    },
+    {
+      "entropy": 5.264481544494629,
+      "epoch": 5.9693454846727425,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00023218648546164945,
+      "loss": 4.7587,
+      "mean_token_accuracy": 0.20816877782344817,
+      "num_tokens": 13134106.0,
+      "step": 7205
+    },
+    {
+      "entropy": 5.401337671279907,
+      "epoch": 5.973487986743994,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002318728110099599,
+      "loss": 4.9463,
+      "mean_token_accuracy": 0.19887659698724747,
+      "num_tokens": 13143019.0,
+      "step": 7210
+    },
+    {
+      "entropy": 5.267350912094116,
+      "epoch": 5.977630488815245,
+      "grad_norm": 1.625,
+      "learning_rate": 0.00023155922355052339,
+      "loss": 4.6633,
+      "mean_token_accuracy": 0.223431359231472,
+      "num_tokens": 13152675.0,
+      "step": 7215
+    },
+    {
+      "entropy": 5.256755113601685,
+      "epoch": 5.981772990886496,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00023124572371588,
+      "loss": 4.6968,
+      "mean_token_accuracy": 0.2141074687242508,
+      "num_tokens": 13161094.0,
+      "step": 7220
+    },
+    {
+      "entropy": 5.22665810585022,
+      "epoch": 5.985915492957746,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00023093231213839344,
+      "loss": 4.7801,
+      "mean_token_accuracy": 0.2072029694914818,
+      "num_tokens": 13170858.0,
+      "step": 7225
+    },
+    {
+      "entropy": 5.248539400100708,
+      "epoch": 5.990057995028997,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002306189894502488,
+      "loss": 4.8402,
+      "mean_token_accuracy": 0.1976972222328186,
+      "num_tokens": 13179668.0,
+      "step": 7230
+    },
+    {
+      "entropy": 5.278863763809204,
+      "epoch": 5.994200497100248,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00023030575628345246,
+      "loss": 4.7021,
+      "mean_token_accuracy": 0.2132765233516693,
+      "num_tokens": 13188312.0,
+      "step": 7235
+    },
+    {
+      "entropy": 5.254744529724121,
+      "epoch": 5.998342999171499,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022999261326982985,
+      "loss": 4.7474,
+      "mean_token_accuracy": 0.20551027208566666,
+      "num_tokens": 13196989.0,
+      "step": 7240
+    },
+    {
+      "entropy": 5.215828323364258,
+      "epoch": 6.0024855012427505,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00022967956104102445,
+      "loss": 4.6371,
+      "mean_token_accuracy": 0.21983437091112137,
+      "num_tokens": 13205830.0,
+      "step": 7245
+    },
+    {
+      "entropy": 5.325025272369385,
+      "epoch": 6.006628003314002,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00022936660022849714,
+      "loss": 4.5948,
+      "mean_token_accuracy": 0.22821232080459594,
+      "num_tokens": 13214711.0,
+      "step": 7250
+    },
+    {
+      "entropy": 5.262428140640258,
+      "epoch": 6.010770505385253,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022905373146352382,
+      "loss": 4.6602,
+      "mean_token_accuracy": 0.21241429150104524,
+      "num_tokens": 13223736.0,
+      "step": 7255
+    },
+    {
+      "entropy": 5.257147979736328,
+      "epoch": 6.014913007456504,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002287409553771952,
+      "loss": 4.556,
+      "mean_token_accuracy": 0.22737590819597245,
+      "num_tokens": 13232666.0,
+      "step": 7260
+    },
+    {
+      "entropy": 5.291457891464233,
+      "epoch": 6.019055509527755,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00022842827260041455,
+      "loss": 4.5848,
+      "mean_token_accuracy": 0.21761821508407592,
+      "num_tokens": 13241770.0,
+      "step": 7265
+    },
+    {
+      "entropy": 5.261249971389771,
+      "epoch": 6.023198011599006,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00022811568376389745,
+      "loss": 4.5326,
+      "mean_token_accuracy": 0.22425681203603745,
+      "num_tokens": 13250475.0,
+      "step": 7270
+    },
+    {
+      "entropy": 5.233007001876831,
+      "epoch": 6.027340513670257,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00022780318949816963,
+      "loss": 4.5183,
+      "mean_token_accuracy": 0.22254440933465958,
+      "num_tokens": 13259587.0,
+      "step": 7275
+    },
+    {
+      "entropy": 5.216541528701782,
+      "epoch": 6.031483015741508,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00022749079043356623,
+      "loss": 4.5404,
+      "mean_token_accuracy": 0.23734405487775803,
+      "num_tokens": 13269681.0,
+      "step": 7280
+    },
+    {
+      "entropy": 5.211581516265869,
+      "epoch": 6.0356255178127585,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00022717848720023022,
+      "loss": 4.5539,
+      "mean_token_accuracy": 0.2277751386165619,
+      "num_tokens": 13278186.0,
+      "step": 7285
+    },
+    {
+      "entropy": 5.25051851272583,
+      "epoch": 6.03976801988401,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00022686628042811142,
+      "loss": 4.6462,
+      "mean_token_accuracy": 0.21404165476560594,
+      "num_tokens": 13287194.0,
+      "step": 7290
+    },
+    {
+      "entropy": 5.334251356124878,
+      "epoch": 6.043910521955261,
+      "grad_norm": 1.375,
+      "learning_rate": 0.000226554170746965,
+      "loss": 4.6707,
+      "mean_token_accuracy": 0.21294027268886567,
+      "num_tokens": 13296774.0,
+      "step": 7295
+    },
+    {
+      "entropy": 5.338882112503052,
+      "epoch": 6.048053024026512,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00022624215878635023,
+      "loss": 4.5887,
+      "mean_token_accuracy": 0.21931985318660735,
+      "num_tokens": 13306368.0,
+      "step": 7300
+    },
+    {
+      "entropy": 5.310757160186768,
+      "epoch": 6.052195526097763,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00022593024517562945,
+      "loss": 4.5551,
+      "mean_token_accuracy": 0.22974174320697785,
+      "num_tokens": 13315393.0,
+      "step": 7305
+    },
+    {
+      "entropy": 5.216650152206421,
+      "epoch": 6.056338028169014,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022561843054396636,
+      "loss": 4.5496,
+      "mean_token_accuracy": 0.22554152607917785,
+      "num_tokens": 13324384.0,
+      "step": 7310
+    },
+    {
+      "entropy": 5.265720653533935,
+      "epoch": 6.060480530240265,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00022530671552032521,
+      "loss": 4.6095,
+      "mean_token_accuracy": 0.2231447860598564,
+      "num_tokens": 13333191.0,
+      "step": 7315
+    },
+    {
+      "entropy": 5.269006586074829,
+      "epoch": 6.064623032311516,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0002249951007334693,
+      "loss": 4.6016,
+      "mean_token_accuracy": 0.21682012677192689,
+      "num_tokens": 13342911.0,
+      "step": 7320
+    },
+    {
+      "entropy": 5.313802003860474,
+      "epoch": 6.068765534382767,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00022468358681195966,
+      "loss": 4.5911,
+      "mean_token_accuracy": 0.2220294862985611,
+      "num_tokens": 13352464.0,
+      "step": 7325
+    },
+    {
+      "entropy": 5.279155349731445,
+      "epoch": 6.072908036454018,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00022437217438415393,
+      "loss": 4.5871,
+      "mean_token_accuracy": 0.22435862571001053,
+      "num_tokens": 13361812.0,
+      "step": 7330
+    },
+    {
+      "entropy": 5.328032398223877,
+      "epoch": 6.0770505385252696,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00022406086407820503,
+      "loss": 4.6541,
+      "mean_token_accuracy": 0.21680645495653153,
+      "num_tokens": 13372080.0,
+      "step": 7335
+    },
+    {
+      "entropy": 5.283897733688354,
+      "epoch": 6.081193040596521,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022374965652205975,
+      "loss": 4.6976,
+      "mean_token_accuracy": 0.20982298403978347,
+      "num_tokens": 13380897.0,
+      "step": 7340
+    },
+    {
+      "entropy": 5.338993167877197,
+      "epoch": 6.085335542667772,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00022343855234345796,
+      "loss": 4.6891,
+      "mean_token_accuracy": 0.21388355493545533,
+      "num_tokens": 13389885.0,
+      "step": 7345
+    },
+    {
+      "entropy": 5.288727903366089,
+      "epoch": 6.089478044739022,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00022312755216993065,
+      "loss": 4.6211,
+      "mean_token_accuracy": 0.21839348524808883,
+      "num_tokens": 13399734.0,
+      "step": 7350
+    },
+    {
+      "entropy": 5.224732303619385,
+      "epoch": 6.093620546810273,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00022281665662879903,
+      "loss": 4.5653,
+      "mean_token_accuracy": 0.22080505937337874,
+      "num_tokens": 13408641.0,
+      "step": 7355
+    },
+    {
+      "entropy": 5.2608020305633545,
+      "epoch": 6.097763048881524,
+      "grad_norm": 1.25,
+      "learning_rate": 0.00022250586634717362,
+      "loss": 4.6026,
+      "mean_token_accuracy": 0.21388103663921357,
+      "num_tokens": 13418585.0,
+      "step": 7360
+    },
+    {
+      "entropy": 5.244136095046997,
+      "epoch": 6.101905550952775,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00022219518195195216,
+      "loss": 4.5367,
+      "mean_token_accuracy": 0.22432616204023362,
+      "num_tokens": 13427897.0,
+      "step": 7365
+    },
+    {
+      "entropy": 5.131761312484741,
+      "epoch": 6.106048053024026,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00022188460406981925,
+      "loss": 4.4993,
+      "mean_token_accuracy": 0.22558098286390305,
+      "num_tokens": 13437311.0,
+      "step": 7370
+    },
+    {
+      "entropy": 5.284880685806274,
+      "epoch": 6.1101905550952775,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00022157413332724436,
+      "loss": 4.5608,
+      "mean_token_accuracy": 0.22710221409797668,
+      "num_tokens": 13446359.0,
+      "step": 7375
+    },
+    {
+      "entropy": 5.326997709274292,
+      "epoch": 6.114333057166529,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00022126377035048072,
+      "loss": 4.6056,
+      "mean_token_accuracy": 0.22011455297470092,
+      "num_tokens": 13455302.0,
+      "step": 7380
+    },
+    {
+      "entropy": 5.365768575668335,
+      "epoch": 6.11847555923778,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0002209535157655646,
+      "loss": 4.6937,
+      "mean_token_accuracy": 0.21688085198402404,
+      "num_tokens": 13466391.0,
+      "step": 7385
+    },
+    {
+      "entropy": 5.246037006378174,
+      "epoch": 6.122618061309031,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00022064337019831322,
+      "loss": 4.547,
+      "mean_token_accuracy": 0.22545033246278762,
+      "num_tokens": 13476130.0,
+      "step": 7390
+    },
+    {
+      "entropy": 5.183640670776367,
+      "epoch": 6.126760563380282,
+      "grad_norm": 1.6171875,
+      "learning_rate": 0.00022033333427432422,
+      "loss": 4.5326,
+      "mean_token_accuracy": 0.22769198417663575,
+      "num_tokens": 13485105.0,
+      "step": 7395
+    },
+    {
+      "entropy": 5.284799098968506,
+      "epoch": 6.130903065451533,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0002200234086189738,
+      "loss": 4.5988,
+      "mean_token_accuracy": 0.21623703986406326,
+      "num_tokens": 13494914.0,
+      "step": 7400
+    },
+    {
+      "entropy": 5.291166830062866,
+      "epoch": 6.135045567522784,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00021971359385741608,
+      "loss": 4.6312,
+      "mean_token_accuracy": 0.21725507229566574,
+      "num_tokens": 13504293.0,
+      "step": 7405
+    },
+    {
+      "entropy": 5.350364637374878,
+      "epoch": 6.139188069594034,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00021940389061458115,
+      "loss": 4.6935,
+      "mean_token_accuracy": 0.22431259900331496,
+      "num_tokens": 13513972.0,
+      "step": 7410
+    },
+    {
+      "entropy": 5.278038835525512,
+      "epoch": 6.1433305716652855,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0002190942995151743,
+      "loss": 4.6089,
+      "mean_token_accuracy": 0.2185722753405571,
+      "num_tokens": 13522508.0,
+      "step": 7415
+    },
+    {
+      "entropy": 5.296834516525268,
+      "epoch": 6.147473073736537,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0002187848211836746,
+      "loss": 4.53,
+      "mean_token_accuracy": 0.22915603816509247,
+      "num_tokens": 13531235.0,
+      "step": 7420
+    },
+    {
+      "entropy": 5.256722116470337,
+      "epoch": 6.151615575807788,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002184754562443337,
+      "loss": 4.5707,
+      "mean_token_accuracy": 0.22529171109199525,
+      "num_tokens": 13541023.0,
+      "step": 7425
+    },
+    {
+      "entropy": 5.217341756820678,
+      "epoch": 6.155758077879039,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00021816620532117448,
+      "loss": 4.5852,
+      "mean_token_accuracy": 0.2248647004365921,
+      "num_tokens": 13550622.0,
+      "step": 7430
+    },
+    {
+      "entropy": 5.230591440200806,
+      "epoch": 6.15990057995029,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0002178570690379899,
+      "loss": 4.6031,
+      "mean_token_accuracy": 0.21641309708356857,
+      "num_tokens": 13559423.0,
+      "step": 7435
+    },
+    {
+      "entropy": 5.235513544082641,
+      "epoch": 6.164043082021541,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00021754804801834144,
+      "loss": 4.5917,
+      "mean_token_accuracy": 0.21699417978525162,
+      "num_tokens": 13569306.0,
+      "step": 7440
+    },
+    {
+      "entropy": 5.228752660751343,
+      "epoch": 6.168185584092792,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0002172391428855585,
+      "loss": 4.5366,
+      "mean_token_accuracy": 0.22735673934221268,
+      "num_tokens": 13578367.0,
+      "step": 7445
+    },
+    {
+      "entropy": 5.265543508529663,
+      "epoch": 6.172328086164043,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00021693035426273633,
+      "loss": 4.5986,
+      "mean_token_accuracy": 0.21967096477746964,
+      "num_tokens": 13586930.0,
+      "step": 7450
+    },
+    {
+      "entropy": 5.246473407745361,
+      "epoch": 6.176470588235294,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.00021662168277273547,
+      "loss": 4.5681,
+      "mean_token_accuracy": 0.22939085811376572,
+      "num_tokens": 13595891.0,
+      "step": 7455
+    },
+    {
+      "entropy": 5.319870328903198,
+      "epoch": 6.1806130903065455,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002163131290381799,
+      "loss": 4.6599,
+      "mean_token_accuracy": 0.20967274755239487,
+      "num_tokens": 13605786.0,
+      "step": 7460
+    },
+    {
+      "entropy": 5.238808870315552,
+      "epoch": 6.184755592377797,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00021600469368145624,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.2280669927597046,
+      "num_tokens": 13614561.0,
+      "step": 7465
+    },
+    {
+      "entropy": 5.226732301712036,
+      "epoch": 6.188898094449047,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002156963773247124,
+      "loss": 4.5554,
+      "mean_token_accuracy": 0.22617974877357483,
+      "num_tokens": 13622853.0,
+      "step": 7470
+    },
+    {
+      "entropy": 5.20526967048645,
+      "epoch": 6.193040596520298,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0002153881805898561,
+      "loss": 4.5398,
+      "mean_token_accuracy": 0.22647101283073426,
+      "num_tokens": 13631709.0,
+      "step": 7475
+    },
+    {
+      "entropy": 5.293169021606445,
+      "epoch": 6.197183098591549,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.0002150801040985539,
+      "loss": 4.63,
+      "mean_token_accuracy": 0.21966254264116286,
+      "num_tokens": 13640854.0,
+      "step": 7480
+    },
+    {
+      "entropy": 5.218788433074951,
+      "epoch": 6.2013256006628,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00021477214847222958,
+      "loss": 4.5758,
+      "mean_token_accuracy": 0.21710532903671265,
+      "num_tokens": 13649318.0,
+      "step": 7485
+    },
+    {
+      "entropy": 5.315838146209717,
+      "epoch": 6.205468102734051,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00021446431433206348,
+      "loss": 4.6349,
+      "mean_token_accuracy": 0.22002605497837066,
+      "num_tokens": 13658738.0,
+      "step": 7490
+    },
+    {
+      "entropy": 5.187892484664917,
+      "epoch": 6.209610604805302,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002141566022989907,
+      "loss": 4.5484,
+      "mean_token_accuracy": 0.2262681856751442,
+      "num_tokens": 13667315.0,
+      "step": 7495
+    },
+    {
+      "entropy": 5.282585573196411,
+      "epoch": 6.2137531068765535,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0002138490129936998,
+      "loss": 4.6721,
+      "mean_token_accuracy": 0.21348128467798233,
+      "num_tokens": 13676665.0,
+      "step": 7500
+    },
+    {
+      "epoch": 6.2137531068765535,
+      "eval_entropy": 5.127327098521088,
+      "eval_loss": 5.749592304229736,
+      "eval_mean_token_accuracy": 0.16626126474853772,
+      "eval_num_tokens": 13676665.0,
+      "eval_runtime": 2.7442,
+      "eval_samples_per_second": 1365.431,
+      "eval_steps_per_second": 170.907,
+      "step": 7500
+    },
+    {
+      "entropy": 5.220932197570801,
+      "epoch": 6.217895608947805,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0002135415470366323,
+      "loss": 4.6065,
+      "mean_token_accuracy": 0.21874047368764876,
+      "num_tokens": 13685774.0,
+      "step": 7505
+    },
+    {
+      "entropy": 5.261872863769531,
+      "epoch": 6.222038111019056,
+      "grad_norm": 1.1953125,
+      "learning_rate": 0.00021323420504798047,
+      "loss": 4.6324,
+      "mean_token_accuracy": 0.21970156878232955,
+      "num_tokens": 13695700.0,
+      "step": 7510
+    },
+    {
+      "entropy": 5.301397752761841,
+      "epoch": 6.226180613090307,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00021292698764768675,
+      "loss": 4.6432,
+      "mean_token_accuracy": 0.21851994693279267,
+      "num_tokens": 13704675.0,
+      "step": 7515
+    },
+    {
+      "entropy": 5.2542356014251705,
+      "epoch": 6.230323115161558,
+      "grad_norm": 1.1875,
+      "learning_rate": 0.00021261989545544218,
+      "loss": 4.6623,
+      "mean_token_accuracy": 0.22553315609693528,
+      "num_tokens": 13714562.0,
+      "step": 7520
+    },
+    {
+      "entropy": 5.318307209014892,
+      "epoch": 6.234465617232809,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00021231292909068534,
+      "loss": 4.6448,
+      "mean_token_accuracy": 0.22140212655067443,
+      "num_tokens": 13723917.0,
+      "step": 7525
+    },
+    {
+      "entropy": 5.254926586151123,
+      "epoch": 6.238608119304059,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00021200608917260082,
+      "loss": 4.5832,
+      "mean_token_accuracy": 0.22523251920938492,
+      "num_tokens": 13732482.0,
+      "step": 7530
+    },
+    {
+      "entropy": 5.272995328903198,
+      "epoch": 6.24275062137531,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00021169937632011838,
+      "loss": 4.6548,
+      "mean_token_accuracy": 0.2194363296031952,
+      "num_tokens": 13742110.0,
+      "step": 7535
+    },
+    {
+      "entropy": 5.238206005096435,
+      "epoch": 6.2468931234465614,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00021139279115191123,
+      "loss": 4.574,
+      "mean_token_accuracy": 0.21389349400997162,
+      "num_tokens": 13750501.0,
+      "step": 7540
+    },
+    {
+      "entropy": 5.236702632904053,
+      "epoch": 6.2510356255178126,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00021108633428639534,
+      "loss": 4.545,
+      "mean_token_accuracy": 0.22685909420251846,
+      "num_tokens": 13759786.0,
+      "step": 7545
+    },
+    {
+      "entropy": 5.279770469665527,
+      "epoch": 6.255178127589064,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0002107800063417275,
+      "loss": 4.6241,
+      "mean_token_accuracy": 0.21795655339956282,
+      "num_tokens": 13768476.0,
+      "step": 7550
+    },
+    {
+      "entropy": 5.29005618095398,
+      "epoch": 6.259320629660315,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0002104738079358048,
+      "loss": 4.6586,
+      "mean_token_accuracy": 0.20849181562662125,
+      "num_tokens": 13778721.0,
+      "step": 7555
+    },
+    {
+      "entropy": 5.281201648712158,
+      "epoch": 6.263463131731566,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0002101677396862628,
+      "loss": 4.6196,
+      "mean_token_accuracy": 0.22399465888738632,
+      "num_tokens": 13787108.0,
+      "step": 7560
+    },
+    {
+      "entropy": 5.1881067752838135,
+      "epoch": 6.267605633802817,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00020986180221047463,
+      "loss": 4.5398,
+      "mean_token_accuracy": 0.23230253010988236,
+      "num_tokens": 13795021.0,
+      "step": 7565
+    },
+    {
+      "entropy": 5.190041732788086,
+      "epoch": 6.271748135874068,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00020955599612554966,
+      "loss": 4.5887,
+      "mean_token_accuracy": 0.2193624496459961,
+      "num_tokens": 13804750.0,
+      "step": 7570
+    },
+    {
+      "entropy": 5.2463373184204105,
+      "epoch": 6.275890637945319,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00020925032204833206,
+      "loss": 4.5784,
+      "mean_token_accuracy": 0.22109659761190414,
+      "num_tokens": 13813910.0,
+      "step": 7575
+    },
+    {
+      "entropy": 5.329188394546509,
+      "epoch": 6.28003314001657,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00020894478059539995,
+      "loss": 4.5427,
+      "mean_token_accuracy": 0.2241484045982361,
+      "num_tokens": 13822832.0,
+      "step": 7580
+    },
+    {
+      "entropy": 5.204854440689087,
+      "epoch": 6.284175642087821,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00020863937238306375,
+      "loss": 4.5541,
+      "mean_token_accuracy": 0.2280479699373245,
+      "num_tokens": 13831951.0,
+      "step": 7585
+    },
+    {
+      "entropy": 5.172011041641236,
+      "epoch": 6.2883181441590725,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00020833409802736535,
+      "loss": 4.524,
+      "mean_token_accuracy": 0.23316972702741623,
+      "num_tokens": 13840422.0,
+      "step": 7590
+    },
+    {
+      "entropy": 5.306167030334473,
+      "epoch": 6.292460646230323,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00020802895814407636,
+      "loss": 4.6365,
+      "mean_token_accuracy": 0.22030848115682602,
+      "num_tokens": 13850903.0,
+      "step": 7595
+    },
+    {
+      "entropy": 5.244341468811035,
+      "epoch": 6.296603148301574,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002077239533486972,
+      "loss": 4.6811,
+      "mean_token_accuracy": 0.20490736216306688,
+      "num_tokens": 13859972.0,
+      "step": 7600
+    },
+    {
+      "entropy": 5.235301160812378,
+      "epoch": 6.300745650372825,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00020741908425645606,
+      "loss": 4.658,
+      "mean_token_accuracy": 0.21515794545412065,
+      "num_tokens": 13868980.0,
+      "step": 7605
+    },
+    {
+      "entropy": 5.259301996231079,
+      "epoch": 6.304888152444076,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00020711435148230707,
+      "loss": 4.5874,
+      "mean_token_accuracy": 0.21832506507635116,
+      "num_tokens": 13877901.0,
+      "step": 7610
+    },
+    {
+      "entropy": 5.245576858520508,
+      "epoch": 6.309030654515327,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00020680975564092968,
+      "loss": 4.5697,
+      "mean_token_accuracy": 0.21962837278842925,
+      "num_tokens": 13887081.0,
+      "step": 7615
+    },
+    {
+      "entropy": 5.283494472503662,
+      "epoch": 6.313173156586578,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00020650529734672686,
+      "loss": 4.693,
+      "mean_token_accuracy": 0.21509333699941635,
+      "num_tokens": 13896645.0,
+      "step": 7620
+    },
+    {
+      "entropy": 5.340816831588745,
+      "epoch": 6.317315658657829,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00020620097721382424,
+      "loss": 4.6349,
+      "mean_token_accuracy": 0.21796356588602067,
+      "num_tokens": 13905975.0,
+      "step": 7625
+    },
+    {
+      "entropy": 5.3276678085327145,
+      "epoch": 6.3214581607290805,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0002058967958560689,
+      "loss": 4.6067,
+      "mean_token_accuracy": 0.22121513932943343,
+      "num_tokens": 13914605.0,
+      "step": 7630
+    },
+    {
+      "entropy": 5.256007862091065,
+      "epoch": 6.325600662800332,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00020559275388702775,
+      "loss": 4.5442,
+      "mean_token_accuracy": 0.23139581084251404,
+      "num_tokens": 13924592.0,
+      "step": 7635
+    },
+    {
+      "entropy": 5.187183284759522,
+      "epoch": 6.329743164871583,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00020528885191998682,
+      "loss": 4.5649,
+      "mean_token_accuracy": 0.22332944571971894,
+      "num_tokens": 13933513.0,
+      "step": 7640
+    },
+    {
+      "entropy": 5.1399694919586185,
+      "epoch": 6.333885666942834,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00020498509056794952,
+      "loss": 4.4652,
+      "mean_token_accuracy": 0.23895961940288543,
+      "num_tokens": 13942173.0,
+      "step": 7645
+    },
+    {
+      "entropy": 5.177120351791382,
+      "epoch": 6.338028169014084,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00020468147044363556,
+      "loss": 4.4955,
+      "mean_token_accuracy": 0.22771447747945786,
+      "num_tokens": 13950205.0,
+      "step": 7650
+    },
+    {
+      "entropy": 5.22398190498352,
+      "epoch": 6.342170671085335,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00020437799215948017,
+      "loss": 4.5753,
+      "mean_token_accuracy": 0.22749822586774826,
+      "num_tokens": 13958956.0,
+      "step": 7655
+    },
+    {
+      "entropy": 5.209628582000732,
+      "epoch": 6.346313173156586,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0002040746563276319,
+      "loss": 4.5665,
+      "mean_token_accuracy": 0.22033885568380357,
+      "num_tokens": 13967718.0,
+      "step": 7660
+    },
+    {
+      "entropy": 5.235432434082031,
+      "epoch": 6.350455675227837,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00020377146355995257,
+      "loss": 4.6617,
+      "mean_token_accuracy": 0.21480744183063508,
+      "num_tokens": 13976841.0,
+      "step": 7665
+    },
+    {
+      "entropy": 5.287872982025147,
+      "epoch": 6.3545981772990885,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00020346841446801495,
+      "loss": 4.5404,
+      "mean_token_accuracy": 0.22639259397983552,
+      "num_tokens": 13984946.0,
+      "step": 7670
+    },
+    {
+      "entropy": 5.257662773132324,
+      "epoch": 6.35874067937034,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00020316550966310222,
+      "loss": 4.6067,
+      "mean_token_accuracy": 0.21685410737991334,
+      "num_tokens": 13993521.0,
+      "step": 7675
+    },
+    {
+      "entropy": 5.183994293212891,
+      "epoch": 6.362883181441591,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0002028627497562065,
+      "loss": 4.5771,
+      "mean_token_accuracy": 0.2181665539741516,
+      "num_tokens": 14002777.0,
+      "step": 7680
+    },
+    {
+      "entropy": 5.246474266052246,
+      "epoch": 6.367025683512842,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00020256013535802748,
+      "loss": 4.6261,
+      "mean_token_accuracy": 0.21209287494421006,
+      "num_tokens": 14012708.0,
+      "step": 7685
+    },
+    {
+      "entropy": 5.28727445602417,
+      "epoch": 6.371168185584093,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0002022576670789717,
+      "loss": 4.6394,
+      "mean_token_accuracy": 0.2155505269765854,
+      "num_tokens": 14021088.0,
+      "step": 7690
+    },
+    {
+      "entropy": 5.280440044403076,
+      "epoch": 6.375310687655344,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0002019553455291505,
+      "loss": 4.6378,
+      "mean_token_accuracy": 0.21615593284368514,
+      "num_tokens": 14031650.0,
+      "step": 7695
+    },
+    {
+      "entropy": 5.240458631515503,
+      "epoch": 6.379453189726595,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0002016531713183797,
+      "loss": 4.6676,
+      "mean_token_accuracy": 0.21988083124160768,
+      "num_tokens": 14040741.0,
+      "step": 7700
+    },
+    {
+      "entropy": 5.242792797088623,
+      "epoch": 6.383595691797846,
+      "grad_norm": 1.2890625,
+      "learning_rate": 0.00020135114505617752,
+      "loss": 4.6373,
+      "mean_token_accuracy": 0.2093031659722328,
+      "num_tokens": 14049913.0,
+      "step": 7705
+    },
+    {
+      "entropy": 5.277075576782226,
+      "epoch": 6.387738193869097,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00020104926735176393,
+      "loss": 4.5918,
+      "mean_token_accuracy": 0.22735825777053834,
+      "num_tokens": 14059583.0,
+      "step": 7710
+    },
+    {
+      "entropy": 5.327569150924683,
+      "epoch": 6.391880695940348,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00020074753881405949,
+      "loss": 4.5526,
+      "mean_token_accuracy": 0.22584011256694794,
+      "num_tokens": 14067376.0,
+      "step": 7715
+    },
+    {
+      "entropy": 5.247530269622803,
+      "epoch": 6.396023198011599,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0002004459600516833,
+      "loss": 4.6272,
+      "mean_token_accuracy": 0.22265007048845292,
+      "num_tokens": 14076415.0,
+      "step": 7720
+    },
+    {
+      "entropy": 5.252097845077515,
+      "epoch": 6.40016570008285,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00020014453167295298,
+      "loss": 4.6191,
+      "mean_token_accuracy": 0.21771289706230162,
+      "num_tokens": 14085418.0,
+      "step": 7725
+    },
+    {
+      "entropy": 5.246077394485473,
+      "epoch": 6.404308202154101,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00019984325428588229,
+      "loss": 4.6022,
+      "mean_token_accuracy": 0.22459561228752137,
+      "num_tokens": 14094454.0,
+      "step": 7730
+    },
+    {
+      "entropy": 5.269437408447265,
+      "epoch": 6.408450704225352,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00019954212849818077,
+      "loss": 4.5397,
+      "mean_token_accuracy": 0.23432922810316087,
+      "num_tokens": 14103611.0,
+      "step": 7735
+    },
+    {
+      "entropy": 5.17622013092041,
+      "epoch": 6.412593206296603,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00019924115491725197,
+      "loss": 4.4661,
+      "mean_token_accuracy": 0.23387826085090638,
+      "num_tokens": 14112145.0,
+      "step": 7740
+    },
+    {
+      "entropy": 5.237372732162475,
+      "epoch": 6.416735708367854,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019894033415019253,
+      "loss": 4.6056,
+      "mean_token_accuracy": 0.2221802607178688,
+      "num_tokens": 14121215.0,
+      "step": 7745
+    },
+    {
+      "entropy": 5.171102142333984,
+      "epoch": 6.420878210439105,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019863966680379086,
+      "loss": 4.4967,
+      "mean_token_accuracy": 0.22152459472417832,
+      "num_tokens": 14130106.0,
+      "step": 7750
+    },
+    {
+      "entropy": 5.18139157295227,
+      "epoch": 6.4250207125103564,
+      "grad_norm": 1.25,
+      "learning_rate": 0.0001983391534845258,
+      "loss": 4.5424,
+      "mean_token_accuracy": 0.2322377920150757,
+      "num_tokens": 14139071.0,
+      "step": 7755
+    },
+    {
+      "entropy": 5.224069595336914,
+      "epoch": 6.4291632145816076,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00019803879479856547,
+      "loss": 4.5974,
+      "mean_token_accuracy": 0.21825987547636033,
+      "num_tokens": 14148018.0,
+      "step": 7760
+    },
+    {
+      "entropy": 5.2009124755859375,
+      "epoch": 6.433305716652859,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019773859135176626,
+      "loss": 4.5285,
+      "mean_token_accuracy": 0.21998629420995713,
+      "num_tokens": 14156369.0,
+      "step": 7765
+    },
+    {
+      "entropy": 5.215542888641357,
+      "epoch": 6.43744821872411,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.0001974385437496713,
+      "loss": 4.6106,
+      "mean_token_accuracy": 0.21984836757183074,
+      "num_tokens": 14165930.0,
+      "step": 7770
+    },
+    {
+      "entropy": 5.2183332443237305,
+      "epoch": 6.44159072079536,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00019713865259750945,
+      "loss": 4.5777,
+      "mean_token_accuracy": 0.228591625392437,
+      "num_tokens": 14175557.0,
+      "step": 7775
+    },
+    {
+      "entropy": 5.288492584228516,
+      "epoch": 6.445733222866611,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019683891850019391,
+      "loss": 4.65,
+      "mean_token_accuracy": 0.2170352444052696,
+      "num_tokens": 14185532.0,
+      "step": 7780
+    },
+    {
+      "entropy": 5.372134733200073,
+      "epoch": 6.449875724937862,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00019653934206232098,
+      "loss": 4.7328,
+      "mean_token_accuracy": 0.21203465312719344,
+      "num_tokens": 14194307.0,
+      "step": 7785
+    },
+    {
+      "entropy": 5.317110586166382,
+      "epoch": 6.454018227009113,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00019623992388816935,
+      "loss": 4.6817,
+      "mean_token_accuracy": 0.22098743617534639,
+      "num_tokens": 14203900.0,
+      "step": 7790
+    },
+    {
+      "entropy": 5.264908695220948,
+      "epoch": 6.458160729080364,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0001959406645816979,
+      "loss": 4.604,
+      "mean_token_accuracy": 0.22145358771085738,
+      "num_tokens": 14213232.0,
+      "step": 7795
+    },
+    {
+      "entropy": 5.2155252456665036,
+      "epoch": 6.4623032311516155,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00019564156474654554,
+      "loss": 4.545,
+      "mean_token_accuracy": 0.21945291459560395,
+      "num_tokens": 14221365.0,
+      "step": 7800
+    },
+    {
+      "entropy": 5.183708381652832,
+      "epoch": 6.466445733222867,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00019534262498602928,
+      "loss": 4.5722,
+      "mean_token_accuracy": 0.21912614554166793,
+      "num_tokens": 14229878.0,
+      "step": 7805
+    },
+    {
+      "entropy": 5.247611427307129,
+      "epoch": 6.470588235294118,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00019504384590314318,
+      "loss": 4.6163,
+      "mean_token_accuracy": 0.21504329293966293,
+      "num_tokens": 14239132.0,
+      "step": 7810
+    },
+    {
+      "entropy": 5.27608289718628,
+      "epoch": 6.474730737365369,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.00019474522810055745,
+      "loss": 4.6315,
+      "mean_token_accuracy": 0.22245015799999238,
+      "num_tokens": 14247116.0,
+      "step": 7815
+    },
+    {
+      "entropy": 5.237215900421143,
+      "epoch": 6.47887323943662,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00019444677218061673,
+      "loss": 4.5876,
+      "mean_token_accuracy": 0.22378402203321457,
+      "num_tokens": 14255423.0,
+      "step": 7820
+    },
+    {
+      "entropy": 5.22880802154541,
+      "epoch": 6.483015741507871,
+      "grad_norm": 1.5546875,
+      "learning_rate": 0.0001941484787453393,
+      "loss": 4.5576,
+      "mean_token_accuracy": 0.22750293612480163,
+      "num_tokens": 14263836.0,
+      "step": 7825
+    },
+    {
+      "entropy": 5.1975545406341555,
+      "epoch": 6.487158243579122,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00019385034839641558,
+      "loss": 4.6818,
+      "mean_token_accuracy": 0.21816913187503814,
+      "num_tokens": 14273460.0,
+      "step": 7830
+    },
+    {
+      "entropy": 5.288527727127075,
+      "epoch": 6.491300745650372,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001935523817352071,
+      "loss": 4.6991,
+      "mean_token_accuracy": 0.21707435250282286,
+      "num_tokens": 14282925.0,
+      "step": 7835
+    },
+    {
+      "entropy": 5.283282852172851,
+      "epoch": 6.4954432477216235,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019325457936274516,
+      "loss": 4.5817,
+      "mean_token_accuracy": 0.22622769176959992,
+      "num_tokens": 14292059.0,
+      "step": 7840
+    },
+    {
+      "entropy": 5.274545192718506,
+      "epoch": 6.499585749792875,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00019295694187972955,
+      "loss": 4.6371,
+      "mean_token_accuracy": 0.2125675469636917,
+      "num_tokens": 14301276.0,
+      "step": 7845
+    },
+    {
+      "entropy": 5.247177505493164,
+      "epoch": 6.503728251864126,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00019265946988652783,
+      "loss": 4.6386,
+      "mean_token_accuracy": 0.21370143294334412,
+      "num_tokens": 14310259.0,
+      "step": 7850
+    },
+    {
+      "entropy": 5.227504730224609,
+      "epoch": 6.507870753935377,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0001923621639831733,
+      "loss": 4.5105,
+      "mean_token_accuracy": 0.22504902780056,
+      "num_tokens": 14318782.0,
+      "step": 7855
+    },
+    {
+      "entropy": 5.173471689224243,
+      "epoch": 6.512013256006628,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00019206502476936467,
+      "loss": 4.4963,
+      "mean_token_accuracy": 0.23206298500299455,
+      "num_tokens": 14327571.0,
+      "step": 7860
+    },
+    {
+      "entropy": 5.135555934906006,
+      "epoch": 6.516155758077879,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00019176805284446414,
+      "loss": 4.5319,
+      "mean_token_accuracy": 0.23313156962394715,
+      "num_tokens": 14336974.0,
+      "step": 7865
+    },
+    {
+      "entropy": 5.291125202178955,
+      "epoch": 6.52029826014913,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00019147124880749633,
+      "loss": 4.6926,
+      "mean_token_accuracy": 0.218401962518692,
+      "num_tokens": 14346367.0,
+      "step": 7870
+    },
+    {
+      "entropy": 5.287627267837524,
+      "epoch": 6.524440762220381,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00019117461325714768,
+      "loss": 4.6304,
+      "mean_token_accuracy": 0.22132983505725862,
+      "num_tokens": 14355641.0,
+      "step": 7875
+    },
+    {
+      "entropy": 5.246808195114136,
+      "epoch": 6.528583264291632,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00019087814679176436,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.22451686710119248,
+      "num_tokens": 14364927.0,
+      "step": 7880
+    },
+    {
+      "entropy": 5.234672212600708,
+      "epoch": 6.5327257663628835,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00019058185000935175,
+      "loss": 4.5399,
+      "mean_token_accuracy": 0.22587109208106995,
+      "num_tokens": 14373370.0,
+      "step": 7885
+    },
+    {
+      "entropy": 5.254017162322998,
+      "epoch": 6.536868268434135,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00019028572350757278,
+      "loss": 4.6124,
+      "mean_token_accuracy": 0.21654532849788666,
+      "num_tokens": 14381820.0,
+      "step": 7890
+    },
+    {
+      "entropy": 5.2422840118408205,
+      "epoch": 6.541010770505386,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018998976788374682,
+      "loss": 4.5875,
+      "mean_token_accuracy": 0.21863880306482314,
+      "num_tokens": 14391158.0,
+      "step": 7895
+    },
+    {
+      "entropy": 5.201485252380371,
+      "epoch": 6.545153272576636,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00018969398373484898,
+      "loss": 4.6299,
+      "mean_token_accuracy": 0.21829961985349655,
+      "num_tokens": 14399945.0,
+      "step": 7900
+    },
+    {
+      "entropy": 5.200627136230469,
+      "epoch": 6.549295774647887,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00018939837165750796,
+      "loss": 4.5447,
+      "mean_token_accuracy": 0.22442623525857924,
+      "num_tokens": 14410275.0,
+      "step": 7905
+    },
+    {
+      "entropy": 5.29403018951416,
+      "epoch": 6.553438276719138,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00018910293224800584,
+      "loss": 4.6482,
+      "mean_token_accuracy": 0.2173393338918686,
+      "num_tokens": 14420369.0,
+      "step": 7910
+    },
+    {
+      "entropy": 5.291232109069824,
+      "epoch": 6.557580778790389,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00018880766610227608,
+      "loss": 4.6234,
+      "mean_token_accuracy": 0.22409190386533737,
+      "num_tokens": 14429078.0,
+      "step": 7915
+    },
+    {
+      "entropy": 5.234523487091065,
+      "epoch": 6.56172328086164,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018851257381590264,
+      "loss": 4.5824,
+      "mean_token_accuracy": 0.22088503539562226,
+      "num_tokens": 14438920.0,
+      "step": 7920
+    },
+    {
+      "entropy": 5.292790508270263,
+      "epoch": 6.5658657829328915,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018821765598411917,
+      "loss": 4.7699,
+      "mean_token_accuracy": 0.20645501464605331,
+      "num_tokens": 14449164.0,
+      "step": 7925
+    },
+    {
+      "entropy": 5.241003036499023,
+      "epoch": 6.570008285004143,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00018792291320180693,
+      "loss": 4.6977,
+      "mean_token_accuracy": 0.2070661887526512,
+      "num_tokens": 14459418.0,
+      "step": 7930
+    },
+    {
+      "entropy": 5.294680643081665,
+      "epoch": 6.574150787075394,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00018762834606349455,
+      "loss": 4.5906,
+      "mean_token_accuracy": 0.22685577124357223,
+      "num_tokens": 14468691.0,
+      "step": 7935
+    },
+    {
+      "entropy": 5.322669315338135,
+      "epoch": 6.578293289146645,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00018733395516335588,
+      "loss": 4.6731,
+      "mean_token_accuracy": 0.21569546610116958,
+      "num_tokens": 14477936.0,
+      "step": 7940
+    },
+    {
+      "entropy": 5.285602855682373,
+      "epoch": 6.582435791217896,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00018703974109520976,
+      "loss": 4.6442,
+      "mean_token_accuracy": 0.22226325422525406,
+      "num_tokens": 14487191.0,
+      "step": 7945
+    },
+    {
+      "entropy": 5.2095410346984865,
+      "epoch": 6.586578293289147,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018674570445251798,
+      "loss": 4.566,
+      "mean_token_accuracy": 0.2255881741642952,
+      "num_tokens": 14495731.0,
+      "step": 7950
+    },
+    {
+      "entropy": 5.200072622299194,
+      "epoch": 6.590720795360397,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018645184582838465,
+      "loss": 4.5668,
+      "mean_token_accuracy": 0.22047847658395767,
+      "num_tokens": 14505009.0,
+      "step": 7955
+    },
+    {
+      "entropy": 5.211784410476684,
+      "epoch": 6.594863297431648,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00018615816581555466,
+      "loss": 4.614,
+      "mean_token_accuracy": 0.21996732503175737,
+      "num_tokens": 14513843.0,
+      "step": 7960
+    },
+    {
+      "entropy": 5.188229322433472,
+      "epoch": 6.5990057995028994,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0001858646650064128,
+      "loss": 4.6074,
+      "mean_token_accuracy": 0.22044946551322936,
+      "num_tokens": 14523405.0,
+      "step": 7965
+    },
+    {
+      "entropy": 5.254159069061279,
+      "epoch": 6.603148301574151,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018557134399298215,
+      "loss": 4.6781,
+      "mean_token_accuracy": 0.21682086437940598,
+      "num_tokens": 14532615.0,
+      "step": 7970
+    },
+    {
+      "entropy": 5.2646036624908445,
+      "epoch": 6.607290803645402,
+      "grad_norm": 1.671875,
+      "learning_rate": 0.0001852782033669233,
+      "loss": 4.6101,
+      "mean_token_accuracy": 0.22458707094192504,
+      "num_tokens": 14541297.0,
+      "step": 7975
+    },
+    {
+      "entropy": 5.216501903533936,
+      "epoch": 6.611433305716653,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00018498524371953295,
+      "loss": 4.556,
+      "mean_token_accuracy": 0.22257563024759291,
+      "num_tokens": 14549867.0,
+      "step": 7980
+    },
+    {
+      "entropy": 5.22313437461853,
+      "epoch": 6.615575807787904,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00018469246564174275,
+      "loss": 4.6508,
+      "mean_token_accuracy": 0.20906404107809068,
+      "num_tokens": 14558708.0,
+      "step": 7985
+    },
+    {
+      "entropy": 5.215989065170288,
+      "epoch": 6.619718309859155,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.000184399869724118,
+      "loss": 4.648,
+      "mean_token_accuracy": 0.21317926198244094,
+      "num_tokens": 14567917.0,
+      "step": 7990
+    },
+    {
+      "entropy": 5.194528484344483,
+      "epoch": 6.623860811930406,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00018410745655685662,
+      "loss": 4.5161,
+      "mean_token_accuracy": 0.23143290728330612,
+      "num_tokens": 14576417.0,
+      "step": 7995
+    },
+    {
+      "entropy": 5.19383282661438,
+      "epoch": 6.628003314001657,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00018381522672978806,
+      "loss": 4.5967,
+      "mean_token_accuracy": 0.2205110549926758,
+      "num_tokens": 14585172.0,
+      "step": 8000
+    },
+    {
+      "epoch": 6.628003314001657,
+      "eval_entropy": 5.144060653409978,
+      "eval_loss": 5.7370734214782715,
+      "eval_mean_token_accuracy": 0.1679431346020719,
+      "eval_num_tokens": 14585172.0,
+      "eval_runtime": 2.746,
+      "eval_samples_per_second": 1364.549,
+      "eval_steps_per_second": 170.796,
+      "step": 8000
+    },
+    {
+      "entropy": 5.2945750713348385,
+      "epoch": 6.632145816072908,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00018352318083237167,
+      "loss": 4.6209,
+      "mean_token_accuracy": 0.21357694566249846,
+      "num_tokens": 14593758.0,
+      "step": 8005
+    },
+    {
+      "entropy": 5.269504880905151,
+      "epoch": 6.636288318144159,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00018323131945369603,
+      "loss": 4.5957,
+      "mean_token_accuracy": 0.2212613955140114,
+      "num_tokens": 14602558.0,
+      "step": 8010
+    },
+    {
+      "entropy": 5.292761898040771,
+      "epoch": 6.6404308202154105,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00018293964318247735,
+      "loss": 4.5895,
+      "mean_token_accuracy": 0.22187672108411788,
+      "num_tokens": 14611463.0,
+      "step": 8015
+    },
+    {
+      "entropy": 5.268460607528686,
+      "epoch": 6.644573322286661,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00018264815260705863,
+      "loss": 4.6303,
+      "mean_token_accuracy": 0.22261828631162645,
+      "num_tokens": 14619951.0,
+      "step": 8020
+    },
+    {
+      "entropy": 5.312491035461425,
+      "epoch": 6.648715824357912,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00018235684831540826,
+      "loss": 4.6601,
+      "mean_token_accuracy": 0.2227204129099846,
+      "num_tokens": 14629332.0,
+      "step": 8025
+    },
+    {
+      "entropy": 5.215784406661987,
+      "epoch": 6.652858326429163,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018206573089511862,
+      "loss": 4.6116,
+      "mean_token_accuracy": 0.22559183984994888,
+      "num_tokens": 14639010.0,
+      "step": 8030
+    },
+    {
+      "entropy": 5.217174816131592,
+      "epoch": 6.657000828500414,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00018177480093340564,
+      "loss": 4.644,
+      "mean_token_accuracy": 0.2131648376584053,
+      "num_tokens": 14648507.0,
+      "step": 8035
+    },
+    {
+      "entropy": 5.26403660774231,
+      "epoch": 6.661143330571665,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.0001814840590171065,
+      "loss": 4.6395,
+      "mean_token_accuracy": 0.216891747713089,
+      "num_tokens": 14657892.0,
+      "step": 8040
+    },
+    {
+      "entropy": 5.276500272750854,
+      "epoch": 6.665285832642916,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018119350573267979,
+      "loss": 4.5962,
+      "mean_token_accuracy": 0.22690920978784562,
+      "num_tokens": 14666460.0,
+      "step": 8045
+    },
+    {
+      "entropy": 5.25149884223938,
+      "epoch": 6.669428334714167,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00018090314166620302,
+      "loss": 4.5902,
+      "mean_token_accuracy": 0.2189852774143219,
+      "num_tokens": 14675046.0,
+      "step": 8050
+    },
+    {
+      "entropy": 5.219921970367432,
+      "epoch": 6.6735708367854185,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00018061296740337225,
+      "loss": 4.6258,
+      "mean_token_accuracy": 0.2165866807103157,
+      "num_tokens": 14685055.0,
+      "step": 8055
+    },
+    {
+      "entropy": 5.248022747039795,
+      "epoch": 6.67771333885667,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00018032298352950077,
+      "loss": 4.5972,
+      "mean_token_accuracy": 0.2188133031129837,
+      "num_tokens": 14695371.0,
+      "step": 8060
+    },
+    {
+      "entropy": 5.225955820083618,
+      "epoch": 6.681855840927921,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00018003319062951756,
+      "loss": 4.569,
+      "mean_token_accuracy": 0.2223624899983406,
+      "num_tokens": 14703671.0,
+      "step": 8065
+    },
+    {
+      "entropy": 5.195835924148559,
+      "epoch": 6.685998342999172,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00017974358928796682,
+      "loss": 4.5951,
+      "mean_token_accuracy": 0.22712722718715667,
+      "num_tokens": 14712527.0,
+      "step": 8070
+    },
+    {
+      "entropy": 5.231344604492188,
+      "epoch": 6.690140845070422,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00017945418008900594,
+      "loss": 4.6311,
+      "mean_token_accuracy": 0.22212356179952622,
+      "num_tokens": 14720711.0,
+      "step": 8075
+    },
+    {
+      "entropy": 5.25670371055603,
+      "epoch": 6.694283347141674,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0001791649636164049,
+      "loss": 4.6664,
+      "mean_token_accuracy": 0.21566284000873565,
+      "num_tokens": 14729667.0,
+      "step": 8080
+    },
+    {
+      "entropy": 5.32373685836792,
+      "epoch": 6.698425849212924,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.000178875940453545,
+      "loss": 4.612,
+      "mean_token_accuracy": 0.2260928839445114,
+      "num_tokens": 14738614.0,
+      "step": 8085
+    },
+    {
+      "entropy": 5.285801553726197,
+      "epoch": 6.702568351284175,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00017858711118341742,
+      "loss": 4.611,
+      "mean_token_accuracy": 0.22119891494512559,
+      "num_tokens": 14747724.0,
+      "step": 8090
+    },
+    {
+      "entropy": 5.189185285568238,
+      "epoch": 6.7067108533554265,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00017829847638862255,
+      "loss": 4.5783,
+      "mean_token_accuracy": 0.22308655232191085,
+      "num_tokens": 14757436.0,
+      "step": 8095
+    },
+    {
+      "entropy": 5.163452911376953,
+      "epoch": 6.710853355426678,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00017801003665136823,
+      "loss": 4.5621,
+      "mean_token_accuracy": 0.22859434187412261,
+      "num_tokens": 14765948.0,
+      "step": 8100
+    },
+    {
+      "entropy": 5.2175110340118405,
+      "epoch": 6.714995857497929,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00017772179255346883,
+      "loss": 4.5924,
+      "mean_token_accuracy": 0.21859526336193086,
+      "num_tokens": 14775397.0,
+      "step": 8105
+    },
+    {
+      "entropy": 5.2649805545806885,
+      "epoch": 6.71913835956918,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00017743374467634433,
+      "loss": 4.5547,
+      "mean_token_accuracy": 0.22480292171239852,
+      "num_tokens": 14783605.0,
+      "step": 8110
+    },
+    {
+      "entropy": 5.262083387374878,
+      "epoch": 6.723280861640431,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00017714589360101862,
+      "loss": 4.6719,
+      "mean_token_accuracy": 0.2111577272415161,
+      "num_tokens": 14792210.0,
+      "step": 8115
+    },
+    {
+      "entropy": 5.165537548065186,
+      "epoch": 6.727423363711682,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000176858239908119,
+      "loss": 4.5663,
+      "mean_token_accuracy": 0.21831904202699662,
+      "num_tokens": 14801186.0,
+      "step": 8120
+    },
+    {
+      "entropy": 5.171479225158691,
+      "epoch": 6.731565865782933,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00017657078417787414,
+      "loss": 4.5126,
+      "mean_token_accuracy": 0.2303812935948372,
+      "num_tokens": 14810100.0,
+      "step": 8125
+    },
+    {
+      "entropy": 5.1626139163970945,
+      "epoch": 6.735708367854184,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017628352699011396,
+      "loss": 4.4932,
+      "mean_token_accuracy": 0.22342629581689835,
+      "num_tokens": 14819335.0,
+      "step": 8130
+    },
+    {
+      "entropy": 5.184713125228882,
+      "epoch": 6.739850869925435,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001759964689242674,
+      "loss": 4.6115,
+      "mean_token_accuracy": 0.22678097039461137,
+      "num_tokens": 14828686.0,
+      "step": 8135
+    },
+    {
+      "entropy": 5.233674144744873,
+      "epoch": 6.743993371996686,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001757096105593619,
+      "loss": 4.6202,
+      "mean_token_accuracy": 0.21709106266498565,
+      "num_tokens": 14838312.0,
+      "step": 8140
+    },
+    {
+      "entropy": 5.149096870422364,
+      "epoch": 6.748135874067937,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00017542295247402234,
+      "loss": 4.5595,
+      "mean_token_accuracy": 0.22249870449304582,
+      "num_tokens": 14846838.0,
+      "step": 8145
+    },
+    {
+      "entropy": 5.202677154541016,
+      "epoch": 6.752278376139188,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00017513649524646919,
+      "loss": 4.6182,
+      "mean_token_accuracy": 0.21352985352277756,
+      "num_tokens": 14857427.0,
+      "step": 8150
+    },
+    {
+      "entropy": 5.231053304672241,
+      "epoch": 6.756420878210439,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001748502394545181,
+      "loss": 4.6142,
+      "mean_token_accuracy": 0.2143697887659073,
+      "num_tokens": 14866244.0,
+      "step": 8155
+    },
+    {
+      "entropy": 5.2318687915802,
+      "epoch": 6.76056338028169,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001745641856755783,
+      "loss": 4.6272,
+      "mean_token_accuracy": 0.2168770670890808,
+      "num_tokens": 14875697.0,
+      "step": 8160
+    },
+    {
+      "entropy": 5.213436222076416,
+      "epoch": 6.764705882352941,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00017427833448665136,
+      "loss": 4.6431,
+      "mean_token_accuracy": 0.22060779482126236,
+      "num_tokens": 14884650.0,
+      "step": 8165
+    },
+    {
+      "entropy": 5.221727609634399,
+      "epoch": 6.768848384424192,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00017399268646433065,
+      "loss": 4.5726,
+      "mean_token_accuracy": 0.22035471200942994,
+      "num_tokens": 14894058.0,
+      "step": 8170
+    },
+    {
+      "entropy": 5.291379785537719,
+      "epoch": 6.772990886495443,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00017370724218479912,
+      "loss": 4.6928,
+      "mean_token_accuracy": 0.21716551035642623,
+      "num_tokens": 14903219.0,
+      "step": 8175
+    },
+    {
+      "entropy": 5.280435705184937,
+      "epoch": 6.7771333885666944,
+      "grad_norm": 1.5234375,
+      "learning_rate": 0.00017342200222382934,
+      "loss": 4.6104,
+      "mean_token_accuracy": 0.21606069803237915,
+      "num_tokens": 14913051.0,
+      "step": 8180
+    },
+    {
+      "entropy": 5.284905195236206,
+      "epoch": 6.781275890637946,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00017313696715678134,
+      "loss": 4.6263,
+      "mean_token_accuracy": 0.2211444079875946,
+      "num_tokens": 14921777.0,
+      "step": 8185
+    },
+    {
+      "entropy": 5.336038494110108,
+      "epoch": 6.785418392709197,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.000172852137558602,
+      "loss": 4.7612,
+      "mean_token_accuracy": 0.20792590975761413,
+      "num_tokens": 14931558.0,
+      "step": 8190
+    },
+    {
+      "entropy": 5.2495917797088625,
+      "epoch": 6.789560894780448,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00017256751400382384,
+      "loss": 4.6749,
+      "mean_token_accuracy": 0.2186842069029808,
+      "num_tokens": 14940584.0,
+      "step": 8195
+    },
+    {
+      "entropy": 5.260048294067383,
+      "epoch": 6.793703396851699,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00017228309706656354,
+      "loss": 4.6003,
+      "mean_token_accuracy": 0.2234319806098938,
+      "num_tokens": 14950830.0,
+      "step": 8200
+    },
+    {
+      "entropy": 5.309694099426269,
+      "epoch": 6.797845898922949,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001719988873205213,
+      "loss": 4.6046,
+      "mean_token_accuracy": 0.2206121563911438,
+      "num_tokens": 14958990.0,
+      "step": 8205
+    },
+    {
+      "entropy": 5.258207225799561,
+      "epoch": 6.8019884009942,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00017171488533897916,
+      "loss": 4.6389,
+      "mean_token_accuracy": 0.216607928276062,
+      "num_tokens": 14967451.0,
+      "step": 8210
+    },
+    {
+      "entropy": 5.220820093154908,
+      "epoch": 6.806130903065451,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00017143109169480005,
+      "loss": 4.5703,
+      "mean_token_accuracy": 0.2230973109602928,
+      "num_tokens": 14976157.0,
+      "step": 8215
+    },
+    {
+      "entropy": 5.277642917633057,
+      "epoch": 6.810273405136702,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017114750696042695,
+      "loss": 4.6916,
+      "mean_token_accuracy": 0.211100971698761,
+      "num_tokens": 14985591.0,
+      "step": 8220
+    },
+    {
+      "entropy": 5.277077102661133,
+      "epoch": 6.8144159072079535,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00017086413170788107,
+      "loss": 4.5868,
+      "mean_token_accuracy": 0.22545621395111085,
+      "num_tokens": 14994513.0,
+      "step": 8225
+    },
+    {
+      "entropy": 5.249056625366211,
+      "epoch": 6.818558409279205,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00017058096650876143,
+      "loss": 4.6555,
+      "mean_token_accuracy": 0.21752652078866958,
+      "num_tokens": 15003252.0,
+      "step": 8230
+    },
+    {
+      "entropy": 5.268651342391967,
+      "epoch": 6.822700911350456,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017029801193424313,
+      "loss": 4.5678,
+      "mean_token_accuracy": 0.21832710206508638,
+      "num_tokens": 15012342.0,
+      "step": 8235
+    },
+    {
+      "entropy": 5.17280683517456,
+      "epoch": 6.826843413421707,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00017001526855507632,
+      "loss": 4.5248,
+      "mean_token_accuracy": 0.22667909115552903,
+      "num_tokens": 15021336.0,
+      "step": 8240
+    },
+    {
+      "entropy": 5.232009410858154,
+      "epoch": 6.830985915492958,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00016973273694158555,
+      "loss": 4.5752,
+      "mean_token_accuracy": 0.21583533883094788,
+      "num_tokens": 15031016.0,
+      "step": 8245
+    },
+    {
+      "entropy": 5.281693077087402,
+      "epoch": 6.835128417564209,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00016945041766366773,
+      "loss": 4.5846,
+      "mean_token_accuracy": 0.22162794917821885,
+      "num_tokens": 15039181.0,
+      "step": 8250
+    },
+    {
+      "entropy": 5.255547618865966,
+      "epoch": 6.83927091963546,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00016916831129079187,
+      "loss": 4.647,
+      "mean_token_accuracy": 0.2128545254468918,
+      "num_tokens": 15048563.0,
+      "step": 8255
+    },
+    {
+      "entropy": 5.248698711395264,
+      "epoch": 6.84341342170671,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001688864183919973,
+      "loss": 4.5936,
+      "mean_token_accuracy": 0.22442127764225006,
+      "num_tokens": 15056960.0,
+      "step": 8260
+    },
+    {
+      "entropy": 5.307019329071045,
+      "epoch": 6.8475559237779615,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00016860473953589266,
+      "loss": 4.6347,
+      "mean_token_accuracy": 0.21388418227434158,
+      "num_tokens": 15065645.0,
+      "step": 8265
+    },
+    {
+      "entropy": 5.223530387878418,
+      "epoch": 6.851698425849213,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00016832327529065522,
+      "loss": 4.5822,
+      "mean_token_accuracy": 0.22318441718816756,
+      "num_tokens": 15074544.0,
+      "step": 8270
+    },
+    {
+      "entropy": 5.267363739013672,
+      "epoch": 6.855840927920464,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001680420262240289,
+      "loss": 4.6343,
+      "mean_token_accuracy": 0.21753862798213958,
+      "num_tokens": 15083543.0,
+      "step": 8275
+    },
+    {
+      "entropy": 5.204693603515625,
+      "epoch": 6.859983429991715,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00016776099290332397,
+      "loss": 4.6145,
+      "mean_token_accuracy": 0.2235179975628853,
+      "num_tokens": 15092291.0,
+      "step": 8280
+    },
+    {
+      "entropy": 5.3212086200714115,
+      "epoch": 6.864125932062966,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00016748017589541525,
+      "loss": 4.6697,
+      "mean_token_accuracy": 0.2193456619977951,
+      "num_tokens": 15100875.0,
+      "step": 8285
+    },
+    {
+      "entropy": 5.275527429580689,
+      "epoch": 6.868268434134217,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0001671995757667414,
+      "loss": 4.6246,
+      "mean_token_accuracy": 0.22207115739583969,
+      "num_tokens": 15111385.0,
+      "step": 8290
+    },
+    {
+      "entropy": 5.325754880905151,
+      "epoch": 6.872410936205468,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00016691919308330343,
+      "loss": 4.6412,
+      "mean_token_accuracy": 0.2226441338658333,
+      "num_tokens": 15121153.0,
+      "step": 8295
+    },
+    {
+      "entropy": 5.278840351104736,
+      "epoch": 6.876553438276719,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00016663902841066404,
+      "loss": 4.6258,
+      "mean_token_accuracy": 0.21953531950712205,
+      "num_tokens": 15130132.0,
+      "step": 8300
+    },
+    {
+      "entropy": 5.229125213623047,
+      "epoch": 6.88069594034797,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00016635908231394587,
+      "loss": 4.6111,
+      "mean_token_accuracy": 0.2153362438082695,
+      "num_tokens": 15138878.0,
+      "step": 8305
+    },
+    {
+      "entropy": 5.198756742477417,
+      "epoch": 6.8848384424192215,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0001660793553578307,
+      "loss": 4.6868,
+      "mean_token_accuracy": 0.20835813581943513,
+      "num_tokens": 15148727.0,
+      "step": 8310
+    },
+    {
+      "entropy": 5.257393503189087,
+      "epoch": 6.888980944490473,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00016579984810655856,
+      "loss": 4.6404,
+      "mean_token_accuracy": 0.21736776530742646,
+      "num_tokens": 15158107.0,
+      "step": 8315
+    },
+    {
+      "entropy": 5.275184488296508,
+      "epoch": 6.893123446561724,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00016552056112392594,
+      "loss": 4.6178,
+      "mean_token_accuracy": 0.21456918865442276,
+      "num_tokens": 15168101.0,
+      "step": 8320
+    },
+    {
+      "entropy": 5.249782991409302,
+      "epoch": 6.897265948632974,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.0001652414949732854,
+      "loss": 4.5573,
+      "mean_token_accuracy": 0.22505220770835876,
+      "num_tokens": 15176376.0,
+      "step": 8325
+    },
+    {
+      "entropy": 5.2404684066772464,
+      "epoch": 6.901408450704225,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00016496265021754365,
+      "loss": 4.5925,
+      "mean_token_accuracy": 0.2170558288693428,
+      "num_tokens": 15184936.0,
+      "step": 8330
+    },
+    {
+      "entropy": 5.271342658996582,
+      "epoch": 6.905550952775476,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00016468402741916124,
+      "loss": 4.6586,
+      "mean_token_accuracy": 0.22344124019145967,
+      "num_tokens": 15194846.0,
+      "step": 8335
+    },
+    {
+      "entropy": 5.263687086105347,
+      "epoch": 6.909693454846727,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001644056271401506,
+      "loss": 4.6187,
+      "mean_token_accuracy": 0.22206373363733292,
+      "num_tokens": 15204543.0,
+      "step": 8340
+    },
+    {
+      "entropy": 5.221840810775757,
+      "epoch": 6.913835956917978,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00016412744994207573,
+      "loss": 4.5897,
+      "mean_token_accuracy": 0.215163554251194,
+      "num_tokens": 15213459.0,
+      "step": 8345
+    },
+    {
+      "entropy": 5.209072399139404,
+      "epoch": 6.9179784589892295,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00016384949638605025,
+      "loss": 4.6864,
+      "mean_token_accuracy": 0.20790564268827438,
+      "num_tokens": 15223841.0,
+      "step": 8350
+    },
+    {
+      "entropy": 5.225527238845825,
+      "epoch": 6.922120961060481,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.00016357176703273696,
+      "loss": 4.6187,
+      "mean_token_accuracy": 0.22101123183965682,
+      "num_tokens": 15233594.0,
+      "step": 8355
+    },
+    {
+      "entropy": 5.251284885406494,
+      "epoch": 6.926263463131732,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0001632942624423463,
+      "loss": 4.5643,
+      "mean_token_accuracy": 0.22933652848005295,
+      "num_tokens": 15242876.0,
+      "step": 8360
+    },
+    {
+      "entropy": 5.297107553482055,
+      "epoch": 6.930405965202983,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00016301698317463525,
+      "loss": 4.6565,
+      "mean_token_accuracy": 0.2228442072868347,
+      "num_tokens": 15251581.0,
+      "step": 8365
+    },
+    {
+      "entropy": 5.252490663528443,
+      "epoch": 6.934548467274234,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00016273992978890658,
+      "loss": 4.5084,
+      "mean_token_accuracy": 0.22431502342224122,
+      "num_tokens": 15260601.0,
+      "step": 8370
+    },
+    {
+      "entropy": 5.232750654220581,
+      "epoch": 6.938690969345485,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001624631028440071,
+      "loss": 4.5322,
+      "mean_token_accuracy": 0.22127106189727783,
+      "num_tokens": 15270123.0,
+      "step": 8375
+    },
+    {
+      "entropy": 5.301280069351196,
+      "epoch": 6.942833471416735,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0001621865028983271,
+      "loss": 4.6664,
+      "mean_token_accuracy": 0.2162109360098839,
+      "num_tokens": 15278623.0,
+      "step": 8380
+    },
+    {
+      "entropy": 5.187017822265625,
+      "epoch": 6.946975973487987,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001619101305097988,
+      "loss": 4.569,
+      "mean_token_accuracy": 0.22274162173271178,
+      "num_tokens": 15287789.0,
+      "step": 8385
+    },
+    {
+      "entropy": 5.105927991867065,
+      "epoch": 6.9511184755592375,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.00016163398623589563,
+      "loss": 4.5276,
+      "mean_token_accuracy": 0.23134084939956664,
+      "num_tokens": 15296266.0,
+      "step": 8390
+    },
+    {
+      "entropy": 5.268940114974976,
+      "epoch": 6.955260977630489,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.00016135807063363074,
+      "loss": 4.6269,
+      "mean_token_accuracy": 0.21198562532663345,
+      "num_tokens": 15304785.0,
+      "step": 8395
+    },
+    {
+      "entropy": 5.171991634368896,
+      "epoch": 6.95940347970174,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00016108238425955584,
+      "loss": 4.5327,
+      "mean_token_accuracy": 0.22577450573444366,
+      "num_tokens": 15313727.0,
+      "step": 8400
+    },
+    {
+      "entropy": 5.254316186904907,
+      "epoch": 6.963545981772991,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.0001608069276697608,
+      "loss": 4.7158,
+      "mean_token_accuracy": 0.21332326233386995,
+      "num_tokens": 15322911.0,
+      "step": 8405
+    },
+    {
+      "entropy": 5.300360822677613,
+      "epoch": 6.967688483844242,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001605317014198714,
+      "loss": 4.6163,
+      "mean_token_accuracy": 0.22070427536964415,
+      "num_tokens": 15330882.0,
+      "step": 8410
+    },
+    {
+      "entropy": 5.221141958236695,
+      "epoch": 6.971830985915493,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00016025670606504926,
+      "loss": 4.523,
+      "mean_token_accuracy": 0.22398052662611007,
+      "num_tokens": 15339915.0,
+      "step": 8415
+    },
+    {
+      "entropy": 5.213225173950195,
+      "epoch": 6.975973487986744,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001599819421599899,
+      "loss": 4.5878,
+      "mean_token_accuracy": 0.21864742040634155,
+      "num_tokens": 15348181.0,
+      "step": 8420
+    },
+    {
+      "entropy": 5.188560724258423,
+      "epoch": 6.980115990057995,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00015970741025892233,
+      "loss": 4.5452,
+      "mean_token_accuracy": 0.2271549642086029,
+      "num_tokens": 15357128.0,
+      "step": 8425
+    },
+    {
+      "entropy": 5.209831953048706,
+      "epoch": 6.984258492129246,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00015943311091560721,
+      "loss": 4.6538,
+      "mean_token_accuracy": 0.22213561683893204,
+      "num_tokens": 15366878.0,
+      "step": 8430
+    },
+    {
+      "entropy": 5.3097316265106205,
+      "epoch": 6.988400994200497,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00015915904468333635,
+      "loss": 4.5939,
+      "mean_token_accuracy": 0.22847030758857728,
+      "num_tokens": 15376101.0,
+      "step": 8435
+    },
+    {
+      "entropy": 5.18035774230957,
+      "epoch": 6.9925434962717485,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00015888521211493135,
+      "loss": 4.5421,
+      "mean_token_accuracy": 0.21641024351119995,
+      "num_tokens": 15384942.0,
+      "step": 8440
+    },
+    {
+      "entropy": 5.193719911575317,
+      "epoch": 6.996685998342999,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001586116137627423,
+      "loss": 4.5648,
+      "mean_token_accuracy": 0.22552343606948852,
+      "num_tokens": 15394380.0,
+      "step": 8445
+    },
+    {
+      "entropy": 5.28035192489624,
+      "epoch": 7.00082850041425,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00015833825017864711,
+      "loss": 4.4966,
+      "mean_token_accuracy": 0.23881841003894805,
+      "num_tokens": 15402180.0,
+      "step": 8450
+    },
+    {
+      "entropy": 5.25820837020874,
+      "epoch": 7.004971002485501,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00015806512191405,
+      "loss": 4.5534,
+      "mean_token_accuracy": 0.22912415564060212,
+      "num_tokens": 15411434.0,
+      "step": 8455
+    },
+    {
+      "entropy": 5.271618843078613,
+      "epoch": 7.009113504556752,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0001577922295198803,
+      "loss": 4.4939,
+      "mean_token_accuracy": 0.2291717991232872,
+      "num_tokens": 15419905.0,
+      "step": 8460
+    },
+    {
+      "entropy": 5.211508417129517,
+      "epoch": 7.013256006628003,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00015751957354659206,
+      "loss": 4.5173,
+      "mean_token_accuracy": 0.22768738716840745,
+      "num_tokens": 15429200.0,
+      "step": 8465
+    },
+    {
+      "entropy": 5.230689239501953,
+      "epoch": 7.017398508699254,
+      "grad_norm": 1.7734375,
+      "learning_rate": 0.00015724715454416206,
+      "loss": 4.5014,
+      "mean_token_accuracy": 0.23492475599050522,
+      "num_tokens": 15439328.0,
+      "step": 8470
+    },
+    {
+      "entropy": 5.239945983886718,
+      "epoch": 7.021541010770505,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00015697497306208926,
+      "loss": 4.449,
+      "mean_token_accuracy": 0.23373402953147887,
+      "num_tokens": 15447739.0,
+      "step": 8475
+    },
+    {
+      "entropy": 5.2335375308990475,
+      "epoch": 7.0256835128417565,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001567030296493934,
+      "loss": 4.4117,
+      "mean_token_accuracy": 0.2391123041510582,
+      "num_tokens": 15456598.0,
+      "step": 8480
+    },
+    {
+      "entropy": 5.264567565917969,
+      "epoch": 7.029826014913008,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00015643132485461395,
+      "loss": 4.5407,
+      "mean_token_accuracy": 0.22584614008665085,
+      "num_tokens": 15466633.0,
+      "step": 8485
+    },
+    {
+      "entropy": 5.269935941696167,
+      "epoch": 7.033968516984259,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.0001561598592258094,
+      "loss": 4.4839,
+      "mean_token_accuracy": 0.23932840377092363,
+      "num_tokens": 15476809.0,
+      "step": 8490
+    },
+    {
+      "entropy": 5.200196313858032,
+      "epoch": 7.03811101905551,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00015588863331055541,
+      "loss": 4.4345,
+      "mean_token_accuracy": 0.22763314247131347,
+      "num_tokens": 15484964.0,
+      "step": 8495
+    },
+    {
+      "entropy": 5.208463573455811,
+      "epoch": 7.042253521126761,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.0001556176476559444,
+      "loss": 4.4668,
+      "mean_token_accuracy": 0.2335176944732666,
+      "num_tokens": 15493600.0,
+      "step": 8500
+    },
+    {
+      "epoch": 7.042253521126761,
+      "eval_entropy": 5.129485646798921,
+      "eval_loss": 5.728693962097168,
+      "eval_mean_token_accuracy": 0.16830202490726767,
+      "eval_num_tokens": 15493600.0,
+      "eval_runtime": 2.7433,
+      "eval_samples_per_second": 1365.87,
+      "eval_steps_per_second": 170.962,
+      "step": 8500
+    },
+    {
+      "entropy": 5.164541816711425,
+      "epoch": 7.046396023198011,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00015534690280858405,
+      "loss": 4.4339,
+      "mean_token_accuracy": 0.23090869933366776,
+      "num_tokens": 15502614.0,
+      "step": 8505
+    },
+    {
+      "entropy": 5.342812156677246,
+      "epoch": 7.050538525269262,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00015507639931459615,
+      "loss": 4.5456,
+      "mean_token_accuracy": 0.23020666539669038,
+      "num_tokens": 15511521.0,
+      "step": 8510
+    },
+    {
+      "entropy": 5.217349433898926,
+      "epoch": 7.054681027340513,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.000154806137719616,
+      "loss": 4.4838,
+      "mean_token_accuracy": 0.22951803505420684,
+      "num_tokens": 15520220.0,
+      "step": 8515
+    },
+    {
+      "entropy": 5.209629344940185,
+      "epoch": 7.0588235294117645,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001545361185687906,
+      "loss": 4.431,
+      "mean_token_accuracy": 0.2416904717683792,
+      "num_tokens": 15528924.0,
+      "step": 8520
+    },
+    {
+      "entropy": 5.182469224929809,
+      "epoch": 7.062966031483016,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00015426634240677824,
+      "loss": 4.4263,
+      "mean_token_accuracy": 0.23380360007286072,
+      "num_tokens": 15539722.0,
+      "step": 8525
+    },
+    {
+      "entropy": 5.2457551002502445,
+      "epoch": 7.067108533554267,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00015399680977774689,
+      "loss": 4.501,
+      "mean_token_accuracy": 0.2327603965997696,
+      "num_tokens": 15548682.0,
+      "step": 8530
+    },
+    {
+      "entropy": 5.270536422729492,
+      "epoch": 7.071251035625518,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00015372752122537318,
+      "loss": 4.4816,
+      "mean_token_accuracy": 0.23249582201242447,
+      "num_tokens": 15557508.0,
+      "step": 8535
+    },
+    {
+      "entropy": 5.2048643112182615,
+      "epoch": 7.075393537696769,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00015345847729284168,
+      "loss": 4.5156,
+      "mean_token_accuracy": 0.23168871104717254,
+      "num_tokens": 15566120.0,
+      "step": 8540
+    },
+    {
+      "entropy": 5.203616809844971,
+      "epoch": 7.07953603976802,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00015318967852284335,
+      "loss": 4.4143,
+      "mean_token_accuracy": 0.24245947301387788,
+      "num_tokens": 15575166.0,
+      "step": 8545
+    },
+    {
+      "entropy": 5.213142776489258,
+      "epoch": 7.083678541839271,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00015292112545757476,
+      "loss": 4.4618,
+      "mean_token_accuracy": 0.22540973722934723,
+      "num_tokens": 15585063.0,
+      "step": 8550
+    },
+    {
+      "entropy": 5.212160682678222,
+      "epoch": 7.087821043910522,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00015265281863873663,
+      "loss": 4.4774,
+      "mean_token_accuracy": 0.23299887031316757,
+      "num_tokens": 15594386.0,
+      "step": 8555
+    },
+    {
+      "entropy": 5.2236042499542235,
+      "epoch": 7.091963545981773,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00015238475860753338,
+      "loss": 4.5,
+      "mean_token_accuracy": 0.22962148636579513,
+      "num_tokens": 15603796.0,
+      "step": 8560
+    },
+    {
+      "entropy": 5.24848952293396,
+      "epoch": 7.096106048053024,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00015211694590467118,
+      "loss": 4.4305,
+      "mean_token_accuracy": 0.24062979519367217,
+      "num_tokens": 15612752.0,
+      "step": 8565
+    },
+    {
+      "entropy": 5.247216987609863,
+      "epoch": 7.100248550124275,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0001518493810703575,
+      "loss": 4.5228,
+      "mean_token_accuracy": 0.22897974401712418,
+      "num_tokens": 15621995.0,
+      "step": 8570
+    },
+    {
+      "entropy": 5.2101912021636965,
+      "epoch": 7.104391052195526,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00015158206464430002,
+      "loss": 4.4774,
+      "mean_token_accuracy": 0.2337987780570984,
+      "num_tokens": 15630390.0,
+      "step": 8575
+    },
+    {
+      "entropy": 5.154296445846557,
+      "epoch": 7.108533554266777,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.000151314997165705,
+      "loss": 4.4282,
+      "mean_token_accuracy": 0.2341099962592125,
+      "num_tokens": 15639723.0,
+      "step": 8580
+    },
+    {
+      "entropy": 5.143678855895996,
+      "epoch": 7.112676056338028,
+      "grad_norm": 1.5625,
+      "learning_rate": 0.00015104817917327694,
+      "loss": 4.3389,
+      "mean_token_accuracy": 0.25343778878450396,
+      "num_tokens": 15647755.0,
+      "step": 8585
+    },
+    {
+      "entropy": 5.213784980773926,
+      "epoch": 7.116818558409279,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00015078161120521676,
+      "loss": 4.489,
+      "mean_token_accuracy": 0.24025783091783523,
+      "num_tokens": 15656949.0,
+      "step": 8590
+    },
+    {
+      "entropy": 5.183463621139526,
+      "epoch": 7.12096106048053,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.0001505152937992211,
+      "loss": 4.4389,
+      "mean_token_accuracy": 0.23687577545642852,
+      "num_tokens": 15666290.0,
+      "step": 8595
+    },
+    {
+      "entropy": 5.265416860580444,
+      "epoch": 7.125103562551781,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00015024922749248143,
+      "loss": 4.4796,
+      "mean_token_accuracy": 0.23623479157686234,
+      "num_tokens": 15675728.0,
+      "step": 8600
+    },
+    {
+      "entropy": 5.224102210998535,
+      "epoch": 7.1292460646230325,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00014998341282168243,
+      "loss": 4.4247,
+      "mean_token_accuracy": 0.24638550877571105,
+      "num_tokens": 15684519.0,
+      "step": 8605
+    },
+    {
+      "entropy": 5.225100469589234,
+      "epoch": 7.133388566694284,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0001497178503230015,
+      "loss": 4.5214,
+      "mean_token_accuracy": 0.2323624387383461,
+      "num_tokens": 15693813.0,
+      "step": 8610
+    },
+    {
+      "entropy": 5.2346985816955565,
+      "epoch": 7.137531068765535,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00014945254053210712,
+      "loss": 4.4972,
+      "mean_token_accuracy": 0.23152748346328736,
+      "num_tokens": 15702245.0,
+      "step": 8615
+    },
+    {
+      "entropy": 5.260819959640503,
+      "epoch": 7.141673570836786,
+      "grad_norm": 1.234375,
+      "learning_rate": 0.00014918748398415801,
+      "loss": 4.5132,
+      "mean_token_accuracy": 0.22982551604509355,
+      "num_tokens": 15712246.0,
+      "step": 8620
+    },
+    {
+      "entropy": 5.199164581298828,
+      "epoch": 7.145816072908037,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00014892268121380244,
+      "loss": 4.453,
+      "mean_token_accuracy": 0.23305327594280242,
+      "num_tokens": 15720904.0,
+      "step": 8625
+    },
+    {
+      "entropy": 5.201052474975586,
+      "epoch": 7.149958574979287,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00014865813275517637,
+      "loss": 4.4464,
+      "mean_token_accuracy": 0.24035904705524444,
+      "num_tokens": 15730595.0,
+      "step": 8630
+    },
+    {
+      "entropy": 5.160213327407837,
+      "epoch": 7.154101077050538,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00014839383914190302,
+      "loss": 4.4113,
+      "mean_token_accuracy": 0.2371663734316826,
+      "num_tokens": 15739475.0,
+      "step": 8635
+    },
+    {
+      "entropy": 5.202706527709961,
+      "epoch": 7.158243579121789,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001481298009070915,
+      "loss": 4.4357,
+      "mean_token_accuracy": 0.2400374785065651,
+      "num_tokens": 15748672.0,
+      "step": 8640
+    },
+    {
+      "entropy": 5.255636262893677,
+      "epoch": 7.16238608119304,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00014786601858333566,
+      "loss": 4.4665,
+      "mean_token_accuracy": 0.2322999894618988,
+      "num_tokens": 15757540.0,
+      "step": 8645
+    },
+    {
+      "entropy": 5.19217586517334,
+      "epoch": 7.1665285832642915,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00014760249270271341,
+      "loss": 4.4882,
+      "mean_token_accuracy": 0.23090190291404725,
+      "num_tokens": 15767198.0,
+      "step": 8650
+    },
+    {
+      "entropy": 5.181815910339355,
+      "epoch": 7.170671085335543,
+      "grad_norm": 1.2421875,
+      "learning_rate": 0.00014733922379678513,
+      "loss": 4.444,
+      "mean_token_accuracy": 0.2331250548362732,
+      "num_tokens": 15776818.0,
+      "step": 8655
+    },
+    {
+      "entropy": 5.310377168655395,
+      "epoch": 7.174813587406794,
+      "grad_norm": 1.5078125,
+      "learning_rate": 0.00014707621239659312,
+      "loss": 4.5959,
+      "mean_token_accuracy": 0.22294886857271196,
+      "num_tokens": 15786054.0,
+      "step": 8660
+    },
+    {
+      "entropy": 5.248941802978516,
+      "epoch": 7.178956089478045,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001468134590326601,
+      "loss": 4.5396,
+      "mean_token_accuracy": 0.22474610805511475,
+      "num_tokens": 15795367.0,
+      "step": 8665
+    },
+    {
+      "entropy": 5.275604391098023,
+      "epoch": 7.183098591549296,
+      "grad_norm": 1.265625,
+      "learning_rate": 0.0001465509642349881,
+      "loss": 4.521,
+      "mean_token_accuracy": 0.22873310893774032,
+      "num_tokens": 15805006.0,
+      "step": 8670
+    },
+    {
+      "entropy": 5.279868030548096,
+      "epoch": 7.187241093620547,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00014628872853305808,
+      "loss": 4.5661,
+      "mean_token_accuracy": 0.21865685284137726,
+      "num_tokens": 15813978.0,
+      "step": 8675
+    },
+    {
+      "entropy": 5.2523754119873045,
+      "epoch": 7.191383595691798,
+      "grad_norm": 1.3125,
+      "learning_rate": 0.00014602675245582795,
+      "loss": 4.5336,
+      "mean_token_accuracy": 0.23225435018539428,
+      "num_tokens": 15824156.0,
+      "step": 8680
+    },
+    {
+      "entropy": 5.277890396118164,
+      "epoch": 7.195526097763049,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00014576503653173219,
+      "loss": 4.5739,
+      "mean_token_accuracy": 0.22429476380348207,
+      "num_tokens": 15833514.0,
+      "step": 8685
+    },
+    {
+      "entropy": 5.269798374176025,
+      "epoch": 7.1996685998342995,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00014550358128868036,
+      "loss": 4.5337,
+      "mean_token_accuracy": 0.2327092170715332,
+      "num_tokens": 15842047.0,
+      "step": 8690
+    },
+    {
+      "entropy": 5.283967399597168,
+      "epoch": 7.203811101905551,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00014524238725405615,
+      "loss": 4.5696,
+      "mean_token_accuracy": 0.230625981092453,
+      "num_tokens": 15851916.0,
+      "step": 8695
+    },
+    {
+      "entropy": 5.251355886459351,
+      "epoch": 7.207953603976802,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00014498145495471664,
+      "loss": 4.4735,
+      "mean_token_accuracy": 0.23564820736646652,
+      "num_tokens": 15860776.0,
+      "step": 8700
+    },
+    {
+      "entropy": 5.227689504623413,
+      "epoch": 7.212096106048053,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00014472078491699076,
+      "loss": 4.5561,
+      "mean_token_accuracy": 0.22959548383951187,
+      "num_tokens": 15870272.0,
+      "step": 8705
+    },
+    {
+      "entropy": 5.2320441722869875,
+      "epoch": 7.216238608119304,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.0001444603776666784,
+      "loss": 4.4616,
+      "mean_token_accuracy": 0.23800074458122253,
+      "num_tokens": 15879448.0,
+      "step": 8710
+    },
+    {
+      "entropy": 5.309765768051148,
+      "epoch": 7.220381110190555,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00014420023372904944,
+      "loss": 4.5565,
+      "mean_token_accuracy": 0.22581303268671035,
+      "num_tokens": 15888806.0,
+      "step": 8715
+    },
+    {
+      "entropy": 5.223542404174805,
+      "epoch": 7.224523612261806,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00014394035362884274,
+      "loss": 4.5296,
+      "mean_token_accuracy": 0.23095161318778992,
+      "num_tokens": 15898443.0,
+      "step": 8720
+    },
+    {
+      "entropy": 5.220206260681152,
+      "epoch": 7.228666114333057,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00014368073789026482,
+      "loss": 4.4329,
+      "mean_token_accuracy": 0.2360845535993576,
+      "num_tokens": 15907759.0,
+      "step": 8725
+    },
+    {
+      "entropy": 5.230159711837769,
+      "epoch": 7.232808616404308,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00014342138703698882,
+      "loss": 4.4162,
+      "mean_token_accuracy": 0.24004922807216644,
+      "num_tokens": 15916687.0,
+      "step": 8730
+    },
+    {
+      "entropy": 5.2235363006591795,
+      "epoch": 7.2369511184755595,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.000143162301592154,
+      "loss": 4.48,
+      "mean_token_accuracy": 0.23941969871520996,
+      "num_tokens": 15925422.0,
+      "step": 8735
+    },
+    {
+      "entropy": 5.1952455043792725,
+      "epoch": 7.241093620546811,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.00014290348207836385,
+      "loss": 4.4895,
+      "mean_token_accuracy": 0.2233983114361763,
+      "num_tokens": 15934279.0,
+      "step": 8740
+    },
+    {
+      "entropy": 5.200940227508545,
+      "epoch": 7.245236122618062,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001426449290176857,
+      "loss": 4.4485,
+      "mean_token_accuracy": 0.24146829843521117,
+      "num_tokens": 15943565.0,
+      "step": 8745
+    },
+    {
+      "entropy": 5.166256427764893,
+      "epoch": 7.249378624689312,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00014238664293164934,
+      "loss": 4.4391,
+      "mean_token_accuracy": 0.24021793454885482,
+      "num_tokens": 15952360.0,
+      "step": 8750
+    },
+    {
+      "entropy": 5.23963360786438,
+      "epoch": 7.253521126760563,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.0001421286243412459,
+      "loss": 4.4776,
+      "mean_token_accuracy": 0.22992977499961853,
+      "num_tokens": 15960715.0,
+      "step": 8755
+    },
+    {
+      "entropy": 5.244385242462158,
+      "epoch": 7.257663628831814,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.00014187087376692724,
+      "loss": 4.5058,
+      "mean_token_accuracy": 0.23199538439512252,
+      "num_tokens": 15969543.0,
+      "step": 8760
+    },
+    {
+      "entropy": 5.147299814224243,
+      "epoch": 7.261806130903065,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001416133917286043,
+      "loss": 4.4457,
+      "mean_token_accuracy": 0.23225277662277222,
+      "num_tokens": 15978256.0,
+      "step": 8765
+    },
+    {
+      "entropy": 5.203030776977539,
+      "epoch": 7.265948632974316,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001413561787456466,
+      "loss": 4.4327,
+      "mean_token_accuracy": 0.23831526637077333,
+      "num_tokens": 15987646.0,
+      "step": 8770
+    },
+    {
+      "entropy": 5.234354543685913,
+      "epoch": 7.2700911350455675,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00014109923533688068,
+      "loss": 4.4492,
+      "mean_token_accuracy": 0.23111054450273513,
+      "num_tokens": 15996767.0,
+      "step": 8775
+    },
+    {
+      "entropy": 5.211431694030762,
+      "epoch": 7.274233637116819,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0001408425620205897,
+      "loss": 4.4718,
+      "mean_token_accuracy": 0.23208508044481277,
+      "num_tokens": 16007170.0,
+      "step": 8780
+    },
+    {
+      "entropy": 5.255538749694824,
+      "epoch": 7.27837613918807,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001405861593145116,
+      "loss": 4.4987,
+      "mean_token_accuracy": 0.22857699245214463,
+      "num_tokens": 16015354.0,
+      "step": 8785
+    },
+    {
+      "entropy": 5.275969696044922,
+      "epoch": 7.282518641259321,
+      "grad_norm": 1.4609375,
+      "learning_rate": 0.00014033002773583872,
+      "loss": 4.4955,
+      "mean_token_accuracy": 0.22325098514556885,
+      "num_tokens": 16024600.0,
+      "step": 8790
+    },
+    {
+      "entropy": 5.268600225448608,
+      "epoch": 7.286661143330572,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001400741678012164,
+      "loss": 4.4813,
+      "mean_token_accuracy": 0.2368546172976494,
+      "num_tokens": 16033301.0,
+      "step": 8795
+    },
+    {
+      "entropy": 5.252548122406006,
+      "epoch": 7.290803645401823,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00013981858002674223,
+      "loss": 4.5322,
+      "mean_token_accuracy": 0.22765524685382843,
+      "num_tokens": 16043539.0,
+      "step": 8800
+    },
+    {
+      "entropy": 5.284696912765503,
+      "epoch": 7.294946147473074,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001395632649279645,
+      "loss": 4.5687,
+      "mean_token_accuracy": 0.22771918177604675,
+      "num_tokens": 16052861.0,
+      "step": 8805
+    },
+    {
+      "entropy": 5.268942785263062,
+      "epoch": 7.299088649544325,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00013930822301988177,
+      "loss": 4.4622,
+      "mean_token_accuracy": 0.23665641099214554,
+      "num_tokens": 16062454.0,
+      "step": 8810
+    },
+    {
+      "entropy": 5.201201915740967,
+      "epoch": 7.3032311516155755,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00013905345481694147,
+      "loss": 4.4705,
+      "mean_token_accuracy": 0.2322714164853096,
+      "num_tokens": 16071432.0,
+      "step": 8815
+    },
+    {
+      "entropy": 5.172683620452881,
+      "epoch": 7.307373653686827,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.0001387989608330388,
+      "loss": 4.4437,
+      "mean_token_accuracy": 0.23548867851495742,
+      "num_tokens": 16080411.0,
+      "step": 8820
+    },
+    {
+      "entropy": 5.220728492736816,
+      "epoch": 7.311516155758078,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013854474158151602,
+      "loss": 4.486,
+      "mean_token_accuracy": 0.22679401338100433,
+      "num_tokens": 16089396.0,
+      "step": 8825
+    },
+    {
+      "entropy": 5.26025390625,
+      "epoch": 7.315658657829329,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00013829079757516106,
+      "loss": 4.5679,
+      "mean_token_accuracy": 0.224435892701149,
+      "num_tokens": 16099308.0,
+      "step": 8830
+    },
+    {
+      "entropy": 5.22006459236145,
+      "epoch": 7.31980115990058,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013803712932620681,
+      "loss": 4.5028,
+      "mean_token_accuracy": 0.22673140466213226,
+      "num_tokens": 16109336.0,
+      "step": 8835
+    },
+    {
+      "entropy": 5.267045164108277,
+      "epoch": 7.323943661971831,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001377837373463298,
+      "loss": 4.4931,
+      "mean_token_accuracy": 0.2302021786570549,
+      "num_tokens": 16118483.0,
+      "step": 8840
+    },
+    {
+      "entropy": 5.240559911727905,
+      "epoch": 7.328086164043082,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.0001375306221466494,
+      "loss": 4.4713,
+      "mean_token_accuracy": 0.22934858202934266,
+      "num_tokens": 16127302.0,
+      "step": 8845
+    },
+    {
+      "entropy": 5.200973415374756,
+      "epoch": 7.332228666114333,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00013727778423772654,
+      "loss": 4.5353,
+      "mean_token_accuracy": 0.22502323240041733,
+      "num_tokens": 16136361.0,
+      "step": 8850
+    },
+    {
+      "entropy": 5.302484941482544,
+      "epoch": 7.336371168185584,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00013702522412956304,
+      "loss": 4.5868,
+      "mean_token_accuracy": 0.22618300914764405,
+      "num_tokens": 16146071.0,
+      "step": 8855
+    },
+    {
+      "entropy": 5.299910354614258,
+      "epoch": 7.340513670256835,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00013677294233160016,
+      "loss": 4.5189,
+      "mean_token_accuracy": 0.22607939094305038,
+      "num_tokens": 16154606.0,
+      "step": 8860
+    },
+    {
+      "entropy": 5.193687105178833,
+      "epoch": 7.3446561723280865,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00013652093935271776,
+      "loss": 4.4767,
+      "mean_token_accuracy": 0.24149058610200883,
+      "num_tokens": 16163648.0,
+      "step": 8865
+    },
+    {
+      "entropy": 5.282410192489624,
+      "epoch": 7.348798674399337,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013626921570123357,
+      "loss": 4.5431,
+      "mean_token_accuracy": 0.22477766126394272,
+      "num_tokens": 16172693.0,
+      "step": 8870
+    },
+    {
+      "entropy": 5.204723453521728,
+      "epoch": 7.352941176470588,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00013601777188490156,
+      "loss": 4.4384,
+      "mean_token_accuracy": 0.23236895948648453,
+      "num_tokens": 16181689.0,
+      "step": 8875
+    },
+    {
+      "entropy": 5.202375221252441,
+      "epoch": 7.357083678541839,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.0001357666084109115,
+      "loss": 4.5693,
+      "mean_token_accuracy": 0.22547451853752137,
+      "num_tokens": 16191254.0,
+      "step": 8880
+    },
+    {
+      "entropy": 5.271569538116455,
+      "epoch": 7.36122618061309,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001355157257858875,
+      "loss": 4.4698,
+      "mean_token_accuracy": 0.23402072489261627,
+      "num_tokens": 16199613.0,
+      "step": 8885
+    },
+    {
+      "entropy": 5.213530111312866,
+      "epoch": 7.365368682684341,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013526512451588718,
+      "loss": 4.4584,
+      "mean_token_accuracy": 0.23570594042539597,
+      "num_tokens": 16208345.0,
+      "step": 8890
+    },
+    {
+      "entropy": 5.259526348114013,
+      "epoch": 7.369511184755592,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0001350148051064008,
+      "loss": 4.5219,
+      "mean_token_accuracy": 0.23035535961389542,
+      "num_tokens": 16217964.0,
+      "step": 8895
+    },
+    {
+      "entropy": 5.259307479858398,
+      "epoch": 7.373653686826843,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00013476476806234983,
+      "loss": 4.5768,
+      "mean_token_accuracy": 0.2261824905872345,
+      "num_tokens": 16227140.0,
+      "step": 8900
+    },
+    {
+      "entropy": 5.320018339157104,
+      "epoch": 7.3777961888980945,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.0001345150138880865,
+      "loss": 4.5291,
+      "mean_token_accuracy": 0.22605375498533248,
+      "num_tokens": 16237416.0,
+      "step": 8905
+    },
+    {
+      "entropy": 5.313902473449707,
+      "epoch": 7.381938690969346,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00013426554308739214,
+      "loss": 4.5596,
+      "mean_token_accuracy": 0.2251575157046318,
+      "num_tokens": 16246682.0,
+      "step": 8910
+    },
+    {
+      "entropy": 5.246820068359375,
+      "epoch": 7.386081193040597,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00013401635616347655,
+      "loss": 4.5364,
+      "mean_token_accuracy": 0.2272168666124344,
+      "num_tokens": 16255450.0,
+      "step": 8915
+    },
+    {
+      "entropy": 5.129112625122071,
+      "epoch": 7.390223695111848,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00013376745361897712,
+      "loss": 4.4317,
+      "mean_token_accuracy": 0.24068772196769714,
+      "num_tokens": 16265014.0,
+      "step": 8920
+    },
+    {
+      "entropy": 5.284948348999023,
+      "epoch": 7.394366197183099,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00013351883595595743,
+      "loss": 4.5167,
+      "mean_token_accuracy": 0.23356657475233078,
+      "num_tokens": 16273309.0,
+      "step": 8925
+    },
+    {
+      "entropy": 5.225611877441406,
+      "epoch": 7.39850869925435,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001332705036759065,
+      "loss": 4.4788,
+      "mean_token_accuracy": 0.22821299731731415,
+      "num_tokens": 16282129.0,
+      "step": 8930
+    },
+    {
+      "entropy": 5.155527019500733,
+      "epoch": 7.4026512013256,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.0001330224572797377,
+      "loss": 4.4512,
+      "mean_token_accuracy": 0.2339691624045372,
+      "num_tokens": 16291208.0,
+      "step": 8935
+    },
+    {
+      "entropy": 5.221278285980224,
+      "epoch": 7.406793703396851,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00013277469726778756,
+      "loss": 4.4484,
+      "mean_token_accuracy": 0.2374333918094635,
+      "num_tokens": 16300111.0,
+      "step": 8940
+    },
+    {
+      "entropy": 5.253650236129761,
+      "epoch": 7.4109362054681025,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.0001325272241398153,
+      "loss": 4.4236,
+      "mean_token_accuracy": 0.24237828254699706,
+      "num_tokens": 16308653.0,
+      "step": 8945
+    },
+    {
+      "entropy": 5.303265380859375,
+      "epoch": 7.415078707539354,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013228003839500113,
+      "loss": 4.5048,
+      "mean_token_accuracy": 0.23030605614185334,
+      "num_tokens": 16317986.0,
+      "step": 8950
+    },
+    {
+      "entropy": 5.250785398483276,
+      "epoch": 7.419221209610605,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001320331405319458,
+      "loss": 4.4978,
+      "mean_token_accuracy": 0.23015536218881608,
+      "num_tokens": 16326889.0,
+      "step": 8955
+    },
+    {
+      "entropy": 5.175545310974121,
+      "epoch": 7.423363711681856,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013178653104866926,
+      "loss": 4.5135,
+      "mean_token_accuracy": 0.2249376356601715,
+      "num_tokens": 16336121.0,
+      "step": 8960
+    },
+    {
+      "entropy": 5.223824167251587,
+      "epoch": 7.427506213753107,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.00013154021044260966,
+      "loss": 4.5654,
+      "mean_token_accuracy": 0.22634392529726027,
+      "num_tokens": 16345216.0,
+      "step": 8965
+    },
+    {
+      "entropy": 5.167584037780761,
+      "epoch": 7.431648715824358,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00013129417921062275,
+      "loss": 4.4047,
+      "mean_token_accuracy": 0.24216125905513763,
+      "num_tokens": 16353735.0,
+      "step": 8970
+    },
+    {
+      "entropy": 5.213489151000976,
+      "epoch": 7.435791217895609,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.0001310484378489803,
+      "loss": 4.4363,
+      "mean_token_accuracy": 0.23906279355287552,
+      "num_tokens": 16362474.0,
+      "step": 8975
+    },
+    {
+      "entropy": 5.264641571044922,
+      "epoch": 7.43993371996686,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00013080298685336957,
+      "loss": 4.5711,
+      "mean_token_accuracy": 0.22207222431898116,
+      "num_tokens": 16371948.0,
+      "step": 8980
+    },
+    {
+      "entropy": 5.193941831588745,
+      "epoch": 7.444076222038111,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00013055782671889205,
+      "loss": 4.4657,
+      "mean_token_accuracy": 0.23412289023399352,
+      "num_tokens": 16380849.0,
+      "step": 8985
+    },
+    {
+      "entropy": 5.256904029846192,
+      "epoch": 7.448218724109362,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0001303129579400624,
+      "loss": 4.5758,
+      "mean_token_accuracy": 0.21966907531023025,
+      "num_tokens": 16389495.0,
+      "step": 8990
+    },
+    {
+      "entropy": 5.242080307006836,
+      "epoch": 7.452361226180613,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001300683810108078,
+      "loss": 4.44,
+      "mean_token_accuracy": 0.23775164783000946,
+      "num_tokens": 16397744.0,
+      "step": 8995
+    },
+    {
+      "entropy": 5.198620891571045,
+      "epoch": 7.456503728251864,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.0001298240964244666,
+      "loss": 4.4774,
+      "mean_token_accuracy": 0.22778769880533217,
+      "num_tokens": 16406785.0,
+      "step": 9000
+    },
+    {
+      "epoch": 7.456503728251864,
+      "eval_entropy": 5.137435206472238,
+      "eval_loss": 5.726848125457764,
+      "eval_mean_token_accuracy": 0.16911925307151351,
+      "eval_num_tokens": 16406785.0,
+      "eval_runtime": 2.7388,
+      "eval_samples_per_second": 1368.12,
+      "eval_steps_per_second": 171.243,
+      "step": 9000
+    },
+    {
+      "entropy": 5.236600065231324,
+      "epoch": 7.460646230323115,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001295801046737876,
+      "loss": 4.5195,
+      "mean_token_accuracy": 0.23866655230522155,
+      "num_tokens": 16415768.0,
+      "step": 9005
+    },
+    {
+      "entropy": 5.189950561523437,
+      "epoch": 7.464788732394366,
+      "grad_norm": 1.53125,
+      "learning_rate": 0.00012933640625092867,
+      "loss": 4.4701,
+      "mean_token_accuracy": 0.2334812819957733,
+      "num_tokens": 16424722.0,
+      "step": 9010
+    },
+    {
+      "entropy": 5.206139373779297,
+      "epoch": 7.468931234465617,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00012909300164745636,
+      "loss": 4.4532,
+      "mean_token_accuracy": 0.24083833396434784,
+      "num_tokens": 16433797.0,
+      "step": 9015
+    },
+    {
+      "entropy": 5.195779943466187,
+      "epoch": 7.473073736536868,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00012884989135434423,
+      "loss": 4.4113,
+      "mean_token_accuracy": 0.23783705085515977,
+      "num_tokens": 16442537.0,
+      "step": 9020
+    },
+    {
+      "entropy": 5.241878795623779,
+      "epoch": 7.477216238608119,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00012860707586197218,
+      "loss": 4.5289,
+      "mean_token_accuracy": 0.23057866245508193,
+      "num_tokens": 16451440.0,
+      "step": 9025
+    },
+    {
+      "entropy": 5.202231788635254,
+      "epoch": 7.4813587406793705,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00012836455566012586,
+      "loss": 4.5065,
+      "mean_token_accuracy": 0.22772400230169296,
+      "num_tokens": 16459358.0,
+      "step": 9030
+    },
+    {
+      "entropy": 5.1701904296875,
+      "epoch": 7.485501242750622,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00012812233123799481,
+      "loss": 4.3761,
+      "mean_token_accuracy": 0.24460603147745133,
+      "num_tokens": 16467584.0,
+      "step": 9035
+    },
+    {
+      "entropy": 5.232595682144165,
+      "epoch": 7.489643744821873,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00012788040308417232,
+      "loss": 4.5119,
+      "mean_token_accuracy": 0.22690969109535217,
+      "num_tokens": 16476674.0,
+      "step": 9040
+    },
+    {
+      "entropy": 5.18615756034851,
+      "epoch": 7.493786246893124,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00012763877168665383,
+      "loss": 4.3977,
+      "mean_token_accuracy": 0.23276474177837372,
+      "num_tokens": 16485422.0,
+      "step": 9045
+    },
+    {
+      "entropy": 5.259172058105468,
+      "epoch": 7.497928748964375,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00012739743753283617,
+      "loss": 4.594,
+      "mean_token_accuracy": 0.23090241551399232,
+      "num_tokens": 16494024.0,
+      "step": 9050
+    },
+    {
+      "entropy": 5.212364196777344,
+      "epoch": 7.502071251035625,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.0001271564011095169,
+      "loss": 4.567,
+      "mean_token_accuracy": 0.22396907359361648,
+      "num_tokens": 16503805.0,
+      "step": 9055
+    },
+    {
+      "entropy": 5.238067293167115,
+      "epoch": 7.506213753106876,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001269156629028927,
+      "loss": 4.5034,
+      "mean_token_accuracy": 0.22764867544174194,
+      "num_tokens": 16512559.0,
+      "step": 9060
+    },
+    {
+      "entropy": 5.283909463882447,
+      "epoch": 7.510356255178127,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.0001266752233985589,
+      "loss": 4.5421,
+      "mean_token_accuracy": 0.22903914898633956,
+      "num_tokens": 16521910.0,
+      "step": 9065
+    },
+    {
+      "entropy": 5.228765964508057,
+      "epoch": 7.514498757249378,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00012643508308150822,
+      "loss": 4.481,
+      "mean_token_accuracy": 0.23210673332214354,
+      "num_tokens": 16530802.0,
+      "step": 9070
+    },
+    {
+      "entropy": 5.175292682647705,
+      "epoch": 7.5186412593206295,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.0001261952424361299,
+      "loss": 4.4682,
+      "mean_token_accuracy": 0.2365036979317665,
+      "num_tokens": 16540519.0,
+      "step": 9075
+    },
+    {
+      "entropy": 5.187702560424805,
+      "epoch": 7.522783761391881,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.0001259557019462088,
+      "loss": 4.4624,
+      "mean_token_accuracy": 0.22708640843629838,
+      "num_tokens": 16549433.0,
+      "step": 9080
+    },
+    {
+      "entropy": 5.2191469192504885,
+      "epoch": 7.526926263463132,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00012571646209492417,
+      "loss": 4.5106,
+      "mean_token_accuracy": 0.2241887181997299,
+      "num_tokens": 16558128.0,
+      "step": 9085
+    },
+    {
+      "entropy": 5.1911474704742435,
+      "epoch": 7.531068765534383,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00012547752336484908,
+      "loss": 4.4329,
+      "mean_token_accuracy": 0.2339310199022293,
+      "num_tokens": 16566636.0,
+      "step": 9090
+    },
+    {
+      "entropy": 5.222174024581909,
+      "epoch": 7.535211267605634,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00012523888623794892,
+      "loss": 4.4508,
+      "mean_token_accuracy": 0.22641565501689911,
+      "num_tokens": 16575036.0,
+      "step": 9095
+    },
+    {
+      "entropy": 5.18636269569397,
+      "epoch": 7.539353769676885,
+      "grad_norm": 1.484375,
+      "learning_rate": 0.0001250005511955809,
+      "loss": 4.4813,
+      "mean_token_accuracy": 0.23633484840393065,
+      "num_tokens": 16584146.0,
+      "step": 9100
+    },
+    {
+      "entropy": 5.267010164260864,
+      "epoch": 7.543496271748136,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001247625187184929,
+      "loss": 4.5566,
+      "mean_token_accuracy": 0.23071260899305343,
+      "num_tokens": 16593915.0,
+      "step": 9105
+    },
+    {
+      "entropy": 5.261574983596802,
+      "epoch": 7.547638773819386,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.0001245247892868223,
+      "loss": 4.4222,
+      "mean_token_accuracy": 0.24024491608142853,
+      "num_tokens": 16601490.0,
+      "step": 9110
+    },
+    {
+      "entropy": 5.231517314910889,
+      "epoch": 7.551781275890638,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.0001242873633800955,
+      "loss": 4.5248,
+      "mean_token_accuracy": 0.22314041405916213,
+      "num_tokens": 16610972.0,
+      "step": 9115
+    },
+    {
+      "entropy": 5.2491841316223145,
+      "epoch": 7.555923777961889,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00012405024147722643,
+      "loss": 4.4864,
+      "mean_token_accuracy": 0.22206981778144835,
+      "num_tokens": 16619388.0,
+      "step": 9120
+    },
+    {
+      "entropy": 5.113521718978882,
+      "epoch": 7.56006628003314,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.0001238134240565158,
+      "loss": 4.4453,
+      "mean_token_accuracy": 0.23808686733245848,
+      "num_tokens": 16628265.0,
+      "step": 9125
+    },
+    {
+      "entropy": 5.1795234203338625,
+      "epoch": 7.564208782104391,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.0001235769115956504,
+      "loss": 4.4003,
+      "mean_token_accuracy": 0.24365673661231996,
+      "num_tokens": 16636809.0,
+      "step": 9130
+    },
+    {
+      "entropy": 5.292108011245728,
+      "epoch": 7.568351284175642,
+      "grad_norm": 1.4921875,
+      "learning_rate": 0.00012334070457170151,
+      "loss": 4.5798,
+      "mean_token_accuracy": 0.22227199971675873,
+      "num_tokens": 16646084.0,
+      "step": 9135
+    },
+    {
+      "entropy": 5.296937656402588,
+      "epoch": 7.572493786246893,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00012310480346112472,
+      "loss": 4.611,
+      "mean_token_accuracy": 0.2216431438922882,
+      "num_tokens": 16656196.0,
+      "step": 9140
+    },
+    {
+      "entropy": 5.209884786605835,
+      "epoch": 7.576636288318144,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00012286920873975815,
+      "loss": 4.5105,
+      "mean_token_accuracy": 0.22829700261354446,
+      "num_tokens": 16665770.0,
+      "step": 9145
+    },
+    {
+      "entropy": 5.213883733749389,
+      "epoch": 7.580778790389395,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00012263392088282226,
+      "loss": 4.4418,
+      "mean_token_accuracy": 0.24046860188245772,
+      "num_tokens": 16674206.0,
+      "step": 9150
+    },
+    {
+      "entropy": 5.187081003189087,
+      "epoch": 7.584921292460646,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00012239894036491833,
+      "loss": 4.4749,
+      "mean_token_accuracy": 0.2309769421815872,
+      "num_tokens": 16683977.0,
+      "step": 9155
+    },
+    {
+      "entropy": 5.184215354919433,
+      "epoch": 7.5890637945318975,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.00012216426766002762,
+      "loss": 4.4464,
+      "mean_token_accuracy": 0.23352074921131133,
+      "num_tokens": 16693117.0,
+      "step": 9160
+    },
+    {
+      "entropy": 5.220042276382446,
+      "epoch": 7.593206296603149,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00012192990324151079,
+      "loss": 4.4633,
+      "mean_token_accuracy": 0.23336823433637618,
+      "num_tokens": 16701631.0,
+      "step": 9165
+    },
+    {
+      "entropy": 5.242423677444458,
+      "epoch": 7.5973487986744,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00012169584758210635,
+      "loss": 4.5412,
+      "mean_token_accuracy": 0.23175331354141235,
+      "num_tokens": 16710337.0,
+      "step": 9170
+    },
+    {
+      "entropy": 5.182403945922852,
+      "epoch": 7.60149130074565,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00012146210115393025,
+      "loss": 4.4635,
+      "mean_token_accuracy": 0.2343884065747261,
+      "num_tokens": 16719046.0,
+      "step": 9175
+    },
+    {
+      "entropy": 5.217220401763916,
+      "epoch": 7.605633802816901,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00012122866442847455,
+      "loss": 4.5145,
+      "mean_token_accuracy": 0.2259568005800247,
+      "num_tokens": 16727860.0,
+      "step": 9180
+    },
+    {
+      "entropy": 5.235024166107178,
+      "epoch": 7.609776304888152,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00012099553787660654,
+      "loss": 4.5803,
+      "mean_token_accuracy": 0.23205377757549286,
+      "num_tokens": 16737839.0,
+      "step": 9185
+    },
+    {
+      "entropy": 5.158119058609008,
+      "epoch": 7.613918806959403,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00012076272196856808,
+      "loss": 4.4573,
+      "mean_token_accuracy": 0.2307577461004257,
+      "num_tokens": 16746171.0,
+      "step": 9190
+    },
+    {
+      "entropy": 5.198251819610595,
+      "epoch": 7.618061309030654,
+      "grad_norm": 1.3046875,
+      "learning_rate": 0.0001205302171739742,
+      "loss": 4.4448,
+      "mean_token_accuracy": 0.2381545603275299,
+      "num_tokens": 16755236.0,
+      "step": 9195
+    },
+    {
+      "entropy": 5.211521863937378,
+      "epoch": 7.6222038111019055,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00012029802396181256,
+      "loss": 4.4663,
+      "mean_token_accuracy": 0.2303634077310562,
+      "num_tokens": 16764126.0,
+      "step": 9200
+    },
+    {
+      "entropy": 5.242390394210815,
+      "epoch": 7.626346313173157,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00012006614280044225,
+      "loss": 4.5253,
+      "mean_token_accuracy": 0.2375326469540596,
+      "num_tokens": 16772861.0,
+      "step": 9205
+    },
+    {
+      "entropy": 5.234907102584839,
+      "epoch": 7.630488815244408,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00011983457415759274,
+      "loss": 4.5015,
+      "mean_token_accuracy": 0.23732417970895767,
+      "num_tokens": 16782119.0,
+      "step": 9210
+    },
+    {
+      "entropy": 5.261215591430664,
+      "epoch": 7.634631317315659,
+      "grad_norm": 1.546875,
+      "learning_rate": 0.00011960331850036352,
+      "loss": 4.5405,
+      "mean_token_accuracy": 0.22217481583356857,
+      "num_tokens": 16790531.0,
+      "step": 9215
+    },
+    {
+      "entropy": 5.176897668838501,
+      "epoch": 7.63877381938691,
+      "grad_norm": 1.5,
+      "learning_rate": 0.00011937237629522233,
+      "loss": 4.4532,
+      "mean_token_accuracy": 0.23413067758083345,
+      "num_tokens": 16799516.0,
+      "step": 9220
+    },
+    {
+      "entropy": 5.238109970092774,
+      "epoch": 7.642916321458161,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00011914174800800501,
+      "loss": 4.502,
+      "mean_token_accuracy": 0.2298160970211029,
+      "num_tokens": 16807830.0,
+      "step": 9225
+    },
+    {
+      "entropy": 5.269895887374878,
+      "epoch": 7.647058823529412,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00011891143410391387,
+      "loss": 4.565,
+      "mean_token_accuracy": 0.22582002878189086,
+      "num_tokens": 16816987.0,
+      "step": 9230
+    },
+    {
+      "entropy": 5.18939995765686,
+      "epoch": 7.651201325600663,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00011868143504751732,
+      "loss": 4.3949,
+      "mean_token_accuracy": 0.23891554325819014,
+      "num_tokens": 16825723.0,
+      "step": 9235
+    },
+    {
+      "entropy": 5.219127750396728,
+      "epoch": 7.6553438276719135,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00011845175130274848,
+      "loss": 4.5034,
+      "mean_token_accuracy": 0.23103347569704055,
+      "num_tokens": 16835429.0,
+      "step": 9240
+    },
+    {
+      "entropy": 5.194927597045899,
+      "epoch": 7.659486329743165,
+      "grad_norm": 1.3359375,
+      "learning_rate": 0.00011822238333290475,
+      "loss": 4.4327,
+      "mean_token_accuracy": 0.24837690144777297,
+      "num_tokens": 16844693.0,
+      "step": 9245
+    },
+    {
+      "entropy": 5.20636739730835,
+      "epoch": 7.663628831814416,
+      "grad_norm": 1.4140625,
+      "learning_rate": 0.00011799333160064617,
+      "loss": 4.4855,
+      "mean_token_accuracy": 0.23225704431533814,
+      "num_tokens": 16853058.0,
+      "step": 9250
+    },
+    {
+      "entropy": 5.287894773483276,
+      "epoch": 7.667771333885667,
+      "grad_norm": 1.375,
+      "learning_rate": 0.0001177645965679953,
+      "loss": 4.5412,
+      "mean_token_accuracy": 0.2231143057346344,
+      "num_tokens": 16863017.0,
+      "step": 9255
+    },
+    {
+      "entropy": 5.163079929351807,
+      "epoch": 7.671913835956918,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00011753617869633561,
+      "loss": 4.4049,
+      "mean_token_accuracy": 0.23928526490926744,
+      "num_tokens": 16872054.0,
+      "step": 9260
+    },
+    {
+      "entropy": 5.2851978778839115,
+      "epoch": 7.676056338028169,
+      "grad_norm": 1.4375,
+      "learning_rate": 0.00011730807844641085,
+      "loss": 4.5402,
+      "mean_token_accuracy": 0.2318034812808037,
+      "num_tokens": 16881554.0,
+      "step": 9265
+    },
+    {
+      "entropy": 5.190302848815918,
+      "epoch": 7.68019884009942,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00011708029627832431,
+      "loss": 4.5038,
+      "mean_token_accuracy": 0.23283302932977676,
+      "num_tokens": 16890050.0,
+      "step": 9270
+    },
+    {
+      "entropy": 5.259742593765258,
+      "epoch": 7.684341342170671,
+      "grad_norm": 1.3828125,
+      "learning_rate": 0.00011685283265153732,
+      "loss": 4.4511,
+      "mean_token_accuracy": 0.2353460371494293,
+      "num_tokens": 16899298.0,
+      "step": 9275
+    },
+    {
+      "entropy": 5.3122483253479,
+      "epoch": 7.688483844241922,
+      "grad_norm": 1.375,
+      "learning_rate": 0.00011662568802486905,
+      "loss": 4.5545,
+      "mean_token_accuracy": 0.22228943407535554,
+      "num_tokens": 16908227.0,
+      "step": 9280
+    },
+    {
+      "entropy": 5.272556734085083,
+      "epoch": 7.692626346313173,
+      "grad_norm": 1.28125,
+      "learning_rate": 0.00011639886285649489,
+      "loss": 4.5396,
+      "mean_token_accuracy": 0.22207894474267958,
+      "num_tokens": 16917708.0,
+      "step": 9285
+    },
+    {
+      "entropy": 5.160271692276001,
+      "epoch": 7.6967688483844245,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00011617235760394614,
+      "loss": 4.3672,
+      "mean_token_accuracy": 0.25004381984472274,
+      "num_tokens": 16926108.0,
+      "step": 9290
+    },
+    {
+      "entropy": 5.235444402694702,
+      "epoch": 7.700911350455675,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.0001159461727241085,
+      "loss": 4.4974,
+      "mean_token_accuracy": 0.22936034947633743,
+      "num_tokens": 16935821.0,
+      "step": 9295
+    },
+    {
+      "entropy": 5.198528051376343,
+      "epoch": 7.705053852526927,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001157203086732217,
+      "loss": 4.5459,
+      "mean_token_accuracy": 0.22811468094587325,
+      "num_tokens": 16944899.0,
+      "step": 9300
+    },
+    {
+      "entropy": 5.187997674942016,
+      "epoch": 7.709196354598177,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00011549476590687811,
+      "loss": 4.4804,
+      "mean_token_accuracy": 0.23926871865987778,
+      "num_tokens": 16953745.0,
+      "step": 9305
+    },
+    {
+      "entropy": 5.313058137893677,
+      "epoch": 7.713338856669428,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00011526954488002227,
+      "loss": 4.5838,
+      "mean_token_accuracy": 0.22520019114017487,
+      "num_tokens": 16962940.0,
+      "step": 9310
+    },
+    {
+      "entropy": 5.229482698440552,
+      "epoch": 7.717481358740679,
+      "grad_norm": 1.5390625,
+      "learning_rate": 0.00011504464604694953,
+      "loss": 4.4865,
+      "mean_token_accuracy": 0.23147685676813126,
+      "num_tokens": 16971322.0,
+      "step": 9315
+    },
+    {
+      "entropy": 5.245448875427246,
+      "epoch": 7.72162386081193,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00011482006986130533,
+      "loss": 4.4294,
+      "mean_token_accuracy": 0.23540343344211578,
+      "num_tokens": 16980066.0,
+      "step": 9320
+    },
+    {
+      "entropy": 5.247683668136597,
+      "epoch": 7.725766362883181,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00011459581677608453,
+      "loss": 4.5173,
+      "mean_token_accuracy": 0.2335611492395401,
+      "num_tokens": 16989202.0,
+      "step": 9325
+    },
+    {
+      "entropy": 5.193714046478272,
+      "epoch": 7.7299088649544325,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00011437188724362997,
+      "loss": 4.5308,
+      "mean_token_accuracy": 0.22125924676656722,
+      "num_tokens": 16999267.0,
+      "step": 9330
+    },
+    {
+      "entropy": 5.173966312408448,
+      "epoch": 7.734051367025684,
+      "grad_norm": 1.421875,
+      "learning_rate": 0.00011414828171563214,
+      "loss": 4.4961,
+      "mean_token_accuracy": 0.2306640401482582,
+      "num_tokens": 17008252.0,
+      "step": 9335
+    },
+    {
+      "entropy": 5.222964191436768,
+      "epoch": 7.738193869096935,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00011392500064312773,
+      "loss": 4.4861,
+      "mean_token_accuracy": 0.23044844567775727,
+      "num_tokens": 17017568.0,
+      "step": 9340
+    },
+    {
+      "entropy": 5.249899530410767,
+      "epoch": 7.742336371168186,
+      "grad_norm": 1.578125,
+      "learning_rate": 0.000113702044476499,
+      "loss": 4.4943,
+      "mean_token_accuracy": 0.2308612123131752,
+      "num_tokens": 17026206.0,
+      "step": 9345
+    },
+    {
+      "entropy": 5.2420073509216305,
+      "epoch": 7.746478873239437,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00011347941366547303,
+      "loss": 4.4643,
+      "mean_token_accuracy": 0.23350251317024232,
+      "num_tokens": 17035114.0,
+      "step": 9350
+    },
+    {
+      "entropy": 5.238725233078003,
+      "epoch": 7.750621375310688,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001132571086591204,
+      "loss": 4.5356,
+      "mean_token_accuracy": 0.2302680641412735,
+      "num_tokens": 17044459.0,
+      "step": 9355
+    },
+    {
+      "entropy": 5.248926877975464,
+      "epoch": 7.754763877381938,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.0001130351299058547,
+      "loss": 4.5629,
+      "mean_token_accuracy": 0.220232954621315,
+      "num_tokens": 17053985.0,
+      "step": 9360
+    },
+    {
+      "entropy": 5.184970664978027,
+      "epoch": 7.758906379453189,
+      "grad_norm": 1.2578125,
+      "learning_rate": 0.00011281347785343127,
+      "loss": 4.3551,
+      "mean_token_accuracy": 0.24387124329805374,
+      "num_tokens": 17063136.0,
+      "step": 9365
+    },
+    {
+      "entropy": 5.232142210006714,
+      "epoch": 7.7630488815244405,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.00011259215294894647,
+      "loss": 4.5255,
+      "mean_token_accuracy": 0.22341912239789963,
+      "num_tokens": 17072423.0,
+      "step": 9370
+    },
+    {
+      "entropy": 5.20652437210083,
+      "epoch": 7.767191383595692,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00011237115563883693,
+      "loss": 4.4755,
+      "mean_token_accuracy": 0.23369871973991393,
+      "num_tokens": 17080578.0,
+      "step": 9375
+    },
+    {
+      "entropy": 5.195418119430542,
+      "epoch": 7.771333885666943,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00011215048636887825,
+      "loss": 4.4118,
+      "mean_token_accuracy": 0.24118203073740005,
+      "num_tokens": 17089995.0,
+      "step": 9380
+    },
+    {
+      "entropy": 5.147100353240967,
+      "epoch": 7.775476387738194,
+      "grad_norm": 1.40625,
+      "learning_rate": 0.0001119301455841846,
+      "loss": 4.4097,
+      "mean_token_accuracy": 0.2331821948289871,
+      "num_tokens": 17099659.0,
+      "step": 9385
+    },
+    {
+      "entropy": 5.245456647872925,
+      "epoch": 7.779618889809445,
+      "grad_norm": 1.203125,
+      "learning_rate": 0.00011171013372920735,
+      "loss": 4.5308,
+      "mean_token_accuracy": 0.2302419975399971,
+      "num_tokens": 17109972.0,
+      "step": 9390
+    },
+    {
+      "entropy": 5.282257461547852,
+      "epoch": 7.783761391880696,
+      "grad_norm": 1.3203125,
+      "learning_rate": 0.00011149045124773441,
+      "loss": 4.617,
+      "mean_token_accuracy": 0.2195971965789795,
+      "num_tokens": 17120288.0,
+      "step": 9395
+    },
+    {
+      "entropy": 5.251280069351196,
+      "epoch": 7.787903893951947,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00011127109858288945,
+      "loss": 4.5275,
+      "mean_token_accuracy": 0.23744001388549804,
+      "num_tokens": 17130577.0,
+      "step": 9400
+    },
+    {
+      "entropy": 5.277375173568726,
+      "epoch": 7.792046396023198,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00011105207617713065,
+      "loss": 4.5846,
+      "mean_token_accuracy": 0.22438258528709412,
+      "num_tokens": 17140782.0,
+      "step": 9405
+    },
+    {
+      "entropy": 5.172359895706177,
+      "epoch": 7.796188898094449,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00011083338447225027,
+      "loss": 4.4852,
+      "mean_token_accuracy": 0.22962091118097305,
+      "num_tokens": 17150013.0,
+      "step": 9410
+    },
+    {
+      "entropy": 5.282632112503052,
+      "epoch": 7.8003314001657,
+      "grad_norm": 1.46875,
+      "learning_rate": 0.00011061502390937331,
+      "loss": 4.5287,
+      "mean_token_accuracy": 0.22322992384433746,
+      "num_tokens": 17159349.0,
+      "step": 9415
+    },
+    {
+      "entropy": 5.277588748931885,
+      "epoch": 7.804473902236952,
+      "grad_norm": 1.515625,
+      "learning_rate": 0.0001103969949289568,
+      "loss": 4.5575,
+      "mean_token_accuracy": 0.23068788200616835,
+      "num_tokens": 17168063.0,
+      "step": 9420
+    },
+    {
+      "entropy": 5.27054352760315,
+      "epoch": 7.808616404308202,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00011017929797078919,
+      "loss": 4.5128,
+      "mean_token_accuracy": 0.22348960638046264,
+      "num_tokens": 17177087.0,
+      "step": 9425
+    },
+    {
+      "entropy": 5.23571743965149,
+      "epoch": 7.812758906379453,
+      "grad_norm": 1.2734375,
+      "learning_rate": 0.00010996193347398886,
+      "loss": 4.4804,
+      "mean_token_accuracy": 0.2383258655667305,
+      "num_tokens": 17186875.0,
+      "step": 9430
+    },
+    {
+      "entropy": 5.23639702796936,
+      "epoch": 7.816901408450704,
+      "grad_norm": 1.4453125,
+      "learning_rate": 0.00010974490187700394,
+      "loss": 4.5367,
+      "mean_token_accuracy": 0.2227595865726471,
+      "num_tokens": 17195666.0,
+      "step": 9435
+    },
+    {
+      "entropy": 5.224313688278198,
+      "epoch": 7.821043910521955,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0001095282036176107,
+      "loss": 4.4819,
+      "mean_token_accuracy": 0.22626830786466598,
+      "num_tokens": 17205145.0,
+      "step": 9440
+    },
+    {
+      "entropy": 5.25811996459961,
+      "epoch": 7.825186412593206,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00010931183913291335,
+      "loss": 4.5312,
+      "mean_token_accuracy": 0.2275287076830864,
+      "num_tokens": 17214106.0,
+      "step": 9445
+    },
+    {
+      "entropy": 5.185547399520874,
+      "epoch": 7.829328914664457,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00010909580885934265,
+      "loss": 4.3977,
+      "mean_token_accuracy": 0.24248179346323012,
+      "num_tokens": 17223343.0,
+      "step": 9450
+    },
+    {
+      "entropy": 5.235095453262329,
+      "epoch": 7.8334714167357085,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00010888011323265517,
+      "loss": 4.5538,
+      "mean_token_accuracy": 0.22286391854286194,
+      "num_tokens": 17233528.0,
+      "step": 9455
+    },
+    {
+      "entropy": 5.166561889648437,
+      "epoch": 7.83761391880696,
+      "grad_norm": 1.4765625,
+      "learning_rate": 0.00010866475268793275,
+      "loss": 4.417,
+      "mean_token_accuracy": 0.23417006582021713,
+      "num_tokens": 17242026.0,
+      "step": 9460
+    },
+    {
+      "entropy": 5.164305257797241,
+      "epoch": 7.841756420878211,
+      "grad_norm": 1.390625,
+      "learning_rate": 0.00010844972765958096,
+      "loss": 4.4521,
+      "mean_token_accuracy": 0.23989777714014054,
+      "num_tokens": 17251203.0,
+      "step": 9465
+    },
+    {
+      "entropy": 5.134662532806397,
+      "epoch": 7.845898922949462,
+      "grad_norm": 1.359375,
+      "learning_rate": 0.00010823503858132894,
+      "loss": 4.3833,
+      "mean_token_accuracy": 0.23944269567728044,
+      "num_tokens": 17260072.0,
+      "step": 9470
+    },
+    {
+      "entropy": 5.221753406524658,
+      "epoch": 7.850041425020713,
+      "grad_norm": 1.3671875,
+      "learning_rate": 0.00010802068588622793,
+      "loss": 4.515,
+      "mean_token_accuracy": 0.23257962763309478,
+      "num_tokens": 17269015.0,
+      "step": 9475
+    },
+    {
+      "entropy": 5.2019994258880615,
+      "epoch": 7.854183927091963,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.00010780667000665067,
+      "loss": 4.4506,
+      "mean_token_accuracy": 0.24606569111347198,
+      "num_tokens": 17277721.0,
+      "step": 9480
+    },
+    {
+      "entropy": 5.219488096237183,
+      "epoch": 7.858326429163214,
+      "grad_norm": 1.3984375,
+      "learning_rate": 0.00010759299137429073,
+      "loss": 4.5167,
+      "mean_token_accuracy": 0.2341366305947304,
+      "num_tokens": 17286805.0,
+      "step": 9485
+    },
+    {
+      "entropy": 5.258726453781128,
+      "epoch": 7.862468931234465,
+      "grad_norm": 1.21875,
+      "learning_rate": 0.00010737965042016116,
+      "loss": 4.5958,
+      "mean_token_accuracy": 0.22132833003997804,
+      "num_tokens": 17297577.0,
+      "step": 9490
+    },
+    {
+      "entropy": 5.259564542770386,
+      "epoch": 7.866611433305716,
+      "grad_norm": 1.4296875,
+      "learning_rate": 0.00010716664757459404,
+      "loss": 4.4898,
+      "mean_token_accuracy": 0.2290081799030304,
+      "num_tokens": 17306620.0,
+      "step": 9495
+    },
+    {
+      "entropy": 5.2478546619415285,
+      "epoch": 7.8707539353769675,
+      "grad_norm": 1.453125,
+      "learning_rate": 0.00010695398326723938,
+      "loss": 4.5186,
+      "mean_token_accuracy": 0.22088584303855896,
+      "num_tokens": 17314796.0,
+      "step": 9500
+    },
+    {
+      "epoch": 7.8707539353769675,
+      "eval_entropy": 5.124833188331458,
+      "eval_loss": 5.722036838531494,
+      "eval_mean_token_accuracy": 0.16973218553737282,
+      "eval_num_tokens": 17314796.0,
+      "eval_runtime": 2.7518,
+      "eval_samples_per_second": 1361.662,
+      "eval_steps_per_second": 170.435,
+      "step": 9500
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 12060,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 2.5847873845632e+16,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}
diff --git a/checkpoint-9500/training_args.bin b/checkpoint-9500/training_args.bin
new file mode 100644
index 0000000..47a7b32
--- /dev/null
+++ b/checkpoint-9500/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e406e906697be5d5c4bea7f90a038122ca162eb6b7e40512a32661ef55af9075
+size 6353
diff --git a/config.json b/config.json
new file mode 100644
index 0000000..000c292
--- /dev/null
+++ b/config.json
@@ -0,0 +1,34 @@
+{
+  "activation_function": "gelu",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50000,
+  "dtype": "bfloat16",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50001,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 512,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": 3072,
+  "n_layer": 12,
+  "n_positions": 512,
+  "pad_token_id": 50002,
+  "prefix": "[CLS]",
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "vocab_size": 51200
+}
diff --git a/generation_config.json b/generation_config.json
new file mode 100644
index 0000000..4c122f0
--- /dev/null
+++ b/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50000,
+  "eos_token_id": [
+    50001
+  ],
+  "pad_token_id": 50002,
+  "transformers_version": "4.56.2"
+}
diff --git a/model.safetensors b/model.safetensors
new file mode 100644
index 0000000..9c42649
--- /dev/null
+++ b/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d44647bb528c0843ab0ea43055e036a60879177e1513eb4496036ceaac91b560
+size 249556672
diff --git a/special_tokens_map.json b/special_tokens_map.json
new file mode 100644
index 0000000..c78a835
--- /dev/null
+++ b/special_tokens_map.json
@@ -0,0 +1,1249 @@
+{
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/spiece.model b/spiece.model
new file mode 100644
index 0000000..85d6e93
--- /dev/null
+++ b/spiece.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:762a1e078899c6ba7ef62ef873a57b860c51cc0518791854659b58b4c89742fe
+size 1170764
diff --git a/tokenizer_config.json b/tokenizer_config.json
new file mode 100644
index 0000000..b27d01f
--- /dev/null
+++ b/tokenizer_config.json
@@ -0,0 +1,10825 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50000": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50001": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50002": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50003": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50004": {
+      "content": "[XXXXX160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50005": {
+      "content": "[XXXXX240]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50006": {
+      "content": "[XXXXX717]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50007": {
+      "content": "[XXXXX23]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50008": {
+      "content": "[XXXXX161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50009": {
+      "content": "[XXXXX1156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50010": {
+      "content": "[XXXXX5]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50011": {
+      "content": "[XXXXX597]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50012": {
+      "content": "[XXXXX415]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50013": {
+      "content": "[XXXXX693]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50014": {
+      "content": "[XXXXX1083]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50015": {
+      "content": "[XXXXX784]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50016": {
+      "content": "[XXXXX686]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50017": {
+      "content": "[XXXXX379]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50018": {
+      "content": "[XXXXX335]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50019": {
+      "content": "[XXXXX73]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50020": {
+      "content": "[XXXXX758]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50021": {
+      "content": "[XXXXX805]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50022": {
+      "content": "[XXXXX840]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50023": {
+      "content": "[XXXXX1037]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50024": {
+      "content": "[XXXXX235]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50025": {
+      "content": "[XXXXX1107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50026": {
+      "content": "[XXXXX776]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50027": {
+      "content": "[XXXXX286]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50028": {
+      "content": "[XXXXX396]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50029": {
+      "content": "[XXXXX478]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50030": {
+      "content": "[XXXXX669]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50031": {
+      "content": "[XXXXX691]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50032": {
+      "content": "[XXXXX826]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50033": {
+      "content": "[XXXXX1150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50034": {
+      "content": "[XXXXX853]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50035": {
+      "content": "[XXXXX130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50036": {
+      "content": "[XXXXX989]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50037": {
+      "content": "[XXXXX249]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50038": {
+      "content": "[XXXXX902]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50039": {
+      "content": "[XXXXX1169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50040": {
+      "content": "[XXXXX260]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50041": {
+      "content": "[XXXXX706]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50042": {
+      "content": "[XXXXX146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50043": {
+      "content": "[XXXXX198]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50044": {
+      "content": "[XXXXX303]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50045": {
+      "content": "[XXXXX1192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50046": {
+      "content": "[XXXXX635]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50047": {
+      "content": "[XXXXX271]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50048": {
+      "content": "[XXXXX1023]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50049": {
+      "content": "[XXXXX602]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50050": {
+      "content": "[XXXXX291]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50051": {
+      "content": "[XXXXX190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50052": {
+      "content": "[XXXXX1055]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50053": {
+      "content": "[XXXXX70]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50054": {
+      "content": "[XXXXX178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50055": {
+      "content": "[XXXXX318]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50056": {
+      "content": "[XXXXX62]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50057": {
+      "content": "[XXXXX473]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50058": {
+      "content": "[XXXXX517]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50059": {
+      "content": "[XXXXX924]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50060": {
+      "content": "[XXXXX970]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50061": {
+      "content": "[XXXXX1033]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50062": {
+      "content": "[XXXXX110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50063": {
+      "content": "[XXXXX1151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50064": {
+      "content": "[XXXXX1189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50065": {
+      "content": "[XXXXX1095]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50066": {
+      "content": "[XXXXX148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50067": {
+      "content": "[XXXXX337]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50068": {
+      "content": "[XXXXX245]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50069": {
+      "content": "[XXXXX407]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50070": {
+      "content": "[XXXXX557]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50071": {
+      "content": "[XXXXX576]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50072": {
+      "content": "[XXXXX914]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50073": {
+      "content": "[XXXXX963]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50074": {
+      "content": "[XXXXX951]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50075": {
+      "content": "[XXXXX721]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50076": {
+      "content": "[XXXXX1174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50077": {
+      "content": "[XXXXX3]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50078": {
+      "content": "[XXXXX792]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50079": {
+      "content": "[XXXXX843]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50080": {
+      "content": "[XXXXX590]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50081": {
+      "content": "[XXXXX118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50082": {
+      "content": "[XXXXX280]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50083": {
+      "content": "[XXXXX1119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50084": {
+      "content": "[XXXXX1025]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50085": {
+      "content": "[XXXXX140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50086": {
+      "content": "[XXXXX873]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50087": {
+      "content": "[XXXXX103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50088": {
+      "content": "[XXXXX307]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50089": {
+      "content": "[XXXXX946]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50090": {
+      "content": "[XXXXX782]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50091": {
+      "content": "[XXXXX100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50092": {
+      "content": "[XXXXX485]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50093": {
+      "content": "[XXXXX151]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50094": {
+      "content": "[XXXXX213]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50095": {
+      "content": "[XXXXX847]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50096": {
+      "content": "[XXXXX880]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50097": {
+      "content": "[XXXXX44]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50098": {
+      "content": "[XXXXX1031]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50099": {
+      "content": "[XXXXX545]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50100": {
+      "content": "[XXXXX78]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50101": {
+      "content": "[XXXXX687]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50102": {
+      "content": "[XXXXX925]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50103": {
+      "content": "[XXXXX519]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50104": {
+      "content": "[XXXXX1191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50105": {
+      "content": "[XXXXX13]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50106": {
+      "content": "[XXXXX487]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50107": {
+      "content": "[XXXXX932]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50108": {
+      "content": "[XXXXX119]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50109": {
+      "content": "[XXXXX170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50110": {
+      "content": "[XXXXX254]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50111": {
+      "content": "[XXXXX420]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50112": {
+      "content": "[XXXXX962]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50113": {
+      "content": "[XXXXX441]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50114": {
+      "content": "[XXXXX950]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50115": {
+      "content": "[XXXXX18]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50116": {
+      "content": "[XXXXX676]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50117": {
+      "content": "[XXXXX1133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50118": {
+      "content": "[XXXXX618]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50119": {
+      "content": "[XXXXX374]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50120": {
+      "content": "[XXXXX815]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50121": {
+      "content": "[XXXXX1058]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50122": {
+      "content": "[XXXXX1108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50123": {
+      "content": "[XXXXX1144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50124": {
+      "content": "[XXXXX791]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50125": {
+      "content": "[XXXXX259]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50126": {
+      "content": "[XXXXX1074]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50127": {
+      "content": "[XXXXX696]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50128": {
+      "content": "[XXXXX1168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50129": {
+      "content": "[XXXXX592]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50130": {
+      "content": "[XXXXX127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50131": {
+      "content": "[XXXXX136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50132": {
+      "content": "[XXXXX237]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50133": {
+      "content": "[XXXXX705]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50134": {
+      "content": "[XXXXX983]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50135": {
+      "content": "[XXXXX816]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50136": {
+      "content": "[XXXXX412]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50137": {
+      "content": "[XXXXX410]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50138": {
+      "content": "[XXXXX795]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50139": {
+      "content": "[XXXXX101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50140": {
+      "content": "[XXXXX171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50141": {
+      "content": "[XXXXX628]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50142": {
+      "content": "[XXXXX1038]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50143": {
+      "content": "[XXXXX447]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50144": {
+      "content": "[XXXXX1043]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50145": {
+      "content": "[XXXXX147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50146": {
+      "content": "[XXXXX1112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50147": {
+      "content": "[XXXXX186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50148": {
+      "content": "[XXXXX461]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50149": {
+      "content": "[XXXXX423]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50150": {
+      "content": "[XXXXX26]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50151": {
+      "content": "[XXXXX227]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50152": {
+      "content": "[XXXXX746]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50153": {
+      "content": "[XXXXX818]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50154": {
+      "content": "[XXXXX725]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50155": {
+      "content": "[XXXXX400]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50156": {
+      "content": "[XXXXX827]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50157": {
+      "content": "[XXXXX1020]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50158": {
+      "content": "[XXXXX1060]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50159": {
+      "content": "[XXXXX195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50160": {
+      "content": "[XXXXX526]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50161": {
+      "content": "[XXXXX570]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50162": {
+      "content": "[XXXXX174]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50163": {
+      "content": "[XXXXX333]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50164": {
+      "content": "[XXXXX466]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50165": {
+      "content": "[XXXXX513]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50166": {
+      "content": "[XXXXX695]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50167": {
+      "content": "[XXXXX84]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50168": {
+      "content": "[XXXXX1080]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50169": {
+      "content": "[XXXXX76]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50170": {
+      "content": "[XXXXX742]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50171": {
+      "content": "[XXXXX1008]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50172": {
+      "content": "[XXXXX1123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50173": {
+      "content": "[XXXXX1145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50174": {
+      "content": "[XXXXX701]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50175": {
+      "content": "[XXXXX562]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50176": {
+      "content": "[XXXXX615]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50177": {
+      "content": "[XXXXX389]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50178": {
+      "content": "[XXXXX267]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50179": {
+      "content": "[XXXXX323]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50180": {
+      "content": "[XXXXX346]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50181": {
+      "content": "[XXXXX287]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50182": {
+      "content": "[XXXXX469]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50183": {
+      "content": "[XXXXX58]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50184": {
+      "content": "[XXXXX431]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50185": {
+      "content": "[XXXXX926]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50186": {
+      "content": "[XXXXX1182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50187": {
+      "content": "[XXXXX992]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50188": {
+      "content": "[XXXXX185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50189": {
+      "content": "[XXXXX352]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50190": {
+      "content": "[XXXXX762]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50191": {
+      "content": "[XXXXX991]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50192": {
+      "content": "[XXXXX85]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50193": {
+      "content": "[XXXXX836]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50194": {
+      "content": "[XXXXX460]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50195": {
+      "content": "[XXXXX272]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50196": {
+      "content": "[XXXXX619]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50197": {
+      "content": "[XXXXX759]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50198": {
+      "content": "[XXXXX94]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50199": {
+      "content": "[XXXXX807]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50200": {
+      "content": "[XXXXX299]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50201": {
+      "content": "[XXXXX187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50202": {
+      "content": "[XXXXX486]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50203": {
+      "content": "[XXXXX45]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50204": {
+      "content": "[XXXXX1036]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50205": {
+      "content": "[XXXXX354]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50206": {
+      "content": "[XXXXX386]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50207": {
+      "content": "[XXXXX714]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50208": {
+      "content": "[XXXXX769]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50209": {
+      "content": "[XXXXX304]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50210": {
+      "content": "[XXXXX92]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50211": {
+      "content": "[XXXXX7]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50212": {
+      "content": "[XXXXX31]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50213": {
+      "content": "[XXXXX102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50214": {
+      "content": "[XXXXX163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50215": {
+      "content": "[XXXXX723]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50216": {
+      "content": "[XXXXX1042]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50217": {
+      "content": "[XXXXX452]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50218": {
+      "content": "[XXXXX622]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50219": {
+      "content": "[XXXXX1056]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50220": {
+      "content": "[XXXXX822]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50221": {
+      "content": "[XXXXX125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50222": {
+      "content": "[XXXXX617]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50223": {
+      "content": "[XXXXX34]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50224": {
+      "content": "[XXXXX712]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50225": {
+      "content": "[XXXXX780]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50226": {
+      "content": "[XXXXX547]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50227": {
+      "content": "[XXXXX857]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50228": {
+      "content": "[XXXXX860]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50229": {
+      "content": "[XXXXX897]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50230": {
+      "content": "[XXXXX663]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50231": {
+      "content": "[XXXXX736]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50232": {
+      "content": "[XXXXX202]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50233": {
+      "content": "[XXXXX1029]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50234": {
+      "content": "[XXXXX956]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50235": {
+      "content": "[XXXXX397]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50236": {
+      "content": "[XXXXX239]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50237": {
+      "content": "[XXXXX472]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50238": {
+      "content": "[XXXXX230]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50239": {
+      "content": "[XXXXX796]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50240": {
+      "content": "[XXXXX639]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50241": {
+      "content": "[XXXXX203]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50242": {
+      "content": "[XXXXX231]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50243": {
+      "content": "[XXXXX652]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50244": {
+      "content": "[XXXXX981]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50245": {
+      "content": "[XXXXX911]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50246": {
+      "content": "[XXXXX380]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50247": {
+      "content": "[XXXXX477]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50248": {
+      "content": "[XXXXX952]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50249": {
+      "content": "[XXXXX28]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50250": {
+      "content": "[XXXXX801]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50251": {
+      "content": "[XXXXX1134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50252": {
+      "content": "[XXXXX1176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50253": {
+      "content": "[XXXXX180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50254": {
+      "content": "[XXXXX598]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50255": {
+      "content": "[XXXXX365]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50256": {
+      "content": "[XXXXX729]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50257": {
+      "content": "[XXXXX214]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50258": {
+      "content": "[XXXXX1117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50259": {
+      "content": "[XXXXX278]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50260": {
+      "content": "[XXXXX522]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50261": {
+      "content": "[XXXXX683]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50262": {
+      "content": "[XXXXX731]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50263": {
+      "content": "[XXXXX312]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "[XXXXX1178]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50265": {
+      "content": "[XXXXX666]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50266": {
+      "content": "[XXXXX982]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50267": {
+      "content": "[XXXXX414]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50268": {
+      "content": "[XXXXX935]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50269": {
+      "content": "[XXXXX1089]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50270": {
+      "content": "[XXXXX236]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50271": {
+      "content": "[XXXXX463]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50272": {
+      "content": "[XXXXX52]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50273": {
+      "content": "[XXXXX593]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50274": {
+      "content": "[XXXXX508]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50275": {
+      "content": "[XXXXX1125]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50276": {
+      "content": "[XXXXX462]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50277": {
+      "content": "[XXXXX32]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50278": {
+      "content": "[XXXXX596]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50279": {
+      "content": "[XXXXX948]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50280": {
+      "content": "[XXXXX150]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50281": {
+      "content": "[XXXXX322]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50282": {
+      "content": "[XXXXX390]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50283": {
+      "content": "[XXXXX918]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50284": {
+      "content": "[XXXXX157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50285": {
+      "content": "[XXXXX310]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50286": {
+      "content": "[XXXXX392]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50287": {
+      "content": "[XXXXX649]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50288": {
+      "content": "[XXXXX158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50289": {
+      "content": "[XXXXX430]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50290": {
+      "content": "[XXXXX384]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50291": {
+      "content": "[XXXXX760]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50292": {
+      "content": "[XXXXX700]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50293": {
+      "content": "[XXXXX817]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50294": {
+      "content": "[XXXXX115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50295": {
+      "content": "[XXXXX885]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50296": {
+      "content": "[XXXXX940]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50297": {
+      "content": "[XXXXX997]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50298": {
+      "content": "[XXXXX61]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50299": {
+      "content": "[XXXXX209]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50300": {
+      "content": "[XXXXX316]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50301": {
+      "content": "[XXXXX537]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50302": {
+      "content": "[XXXXX599]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50303": {
+      "content": "[XXXXX680]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50304": {
+      "content": "[XXXXX135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50305": {
+      "content": "[XXXXX39]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50306": {
+      "content": "[XXXXX685]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50307": {
+      "content": "[XXXXX806]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50308": {
+      "content": "[XXXXX870]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50309": {
+      "content": "[XXXXX1096]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50310": {
+      "content": "[XXXXX366]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50311": {
+      "content": "[XXXXX509]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50312": {
+      "content": "[XXXXX943]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50313": {
+      "content": "[XXXXX292]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50314": {
+      "content": "[XXXXX367]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50315": {
+      "content": "[XXXXX632]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50316": {
+      "content": "[XXXXX1136]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50317": {
+      "content": "[XXXXX156]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50318": {
+      "content": "[XXXXX1100]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50319": {
+      "content": "[XXXXX432]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50320": {
+      "content": "[XXXXX514]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50321": {
+      "content": "[XXXXX903]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50322": {
+      "content": "[XXXXX939]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50323": {
+      "content": "[XXXXX986]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50324": {
+      "content": "[XXXXX506]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50325": {
+      "content": "[XXXXX10]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50326": {
+      "content": "[XXXXX573]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50327": {
+      "content": "[XXXXX968]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50328": {
+      "content": "[XXXXX1039]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50329": {
+      "content": "[XXXXX252]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50330": {
+      "content": "[XXXXX612]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50331": {
+      "content": "[XXXXX947]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50332": {
+      "content": "[XXXXX1162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50333": {
+      "content": "[XXXXX733]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50334": {
+      "content": "[XXXXX976]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50335": {
+      "content": "[XXXXX535]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50336": {
+      "content": "[XXXXX710]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50337": {
+      "content": "[XXXXX40]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50338": {
+      "content": "[XXXXX984]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50339": {
+      "content": "[XXXXX584]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50340": {
+      "content": "[XXXXX132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50341": {
+      "content": "[XXXXX1084]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50342": {
+      "content": "[XXXXX549]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50343": {
+      "content": "[XXXXX810]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50344": {
+      "content": "[XXXXX208]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50345": {
+      "content": "[XXXXX609]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50346": {
+      "content": "[XXXXX275]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50347": {
+      "content": "[XXXXX262]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50348": {
+      "content": "[XXXXX331]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50349": {
+      "content": "[XXXXX361]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50350": {
+      "content": "[XXXXX561]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50351": {
+      "content": "[XXXXX143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50352": {
+      "content": "[XXXXX1061]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50353": {
+      "content": "[XXXXX59]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50354": {
+      "content": "[XXXXX21]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50355": {
+      "content": "[XXXXX995]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50356": {
+      "content": "[XXXXX439]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50357": {
+      "content": "[XXXXX831]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50358": {
+      "content": "[XXXXX745]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50359": {
+      "content": "[XXXXX43]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50360": {
+      "content": "[XXXXX498]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50361": {
+      "content": "[XXXXX575]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50362": {
+      "content": "[XXXXX624]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50363": {
+      "content": "[XXXXX72]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50364": {
+      "content": "[XXXXX921]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50365": {
+      "content": "[XXXXX201]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50366": {
+      "content": "[XXXXX1171]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50367": {
+      "content": "[XXXXX912]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50368": {
+      "content": "[XXXXX775]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50369": {
+      "content": "[XXXXX1094]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50370": {
+      "content": "[XXXXX80]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50371": {
+      "content": "[XXXXX894]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50372": {
+      "content": "[XXXXX876]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50373": {
+      "content": "[XXXXX1143]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50374": {
+      "content": "[XXXXX355]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50375": {
+      "content": "[XXXXX450]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50376": {
+      "content": "[XXXXX642]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50377": {
+      "content": "[XXXXX162]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50378": {
+      "content": "[XXXXX394]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50379": {
+      "content": "[XXXXX296]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50380": {
+      "content": "[XXXXX536]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50381": {
+      "content": "[XXXXX560]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50382": {
+      "content": "[XXXXX373]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50383": {
+      "content": "[XXXXX674]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50384": {
+      "content": "[XXXXX1099]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50385": {
+      "content": "[XXXXX797]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50386": {
+      "content": "[XXXXX516]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50387": {
+      "content": "[XXXXX41]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50388": {
+      "content": "[XXXXX594]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50389": {
+      "content": "[XXXXX319]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50390": {
+      "content": "[XXXXX165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50391": {
+      "content": "[XXXXX344]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50392": {
+      "content": "[XXXXX1012]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50393": {
+      "content": "[XXXXX942]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50394": {
+      "content": "[XXXXX1071]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50395": {
+      "content": "[XXXXX648]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50396": {
+      "content": "[XXXXX4]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50397": {
+      "content": "[XXXXX633]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50398": {
+      "content": "[XXXXX551]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50399": {
+      "content": "[XXXXX586]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50400": {
+      "content": "[XXXXX578]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50401": {
+      "content": "[XXXXX348]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50402": {
+      "content": "[XXXXX614]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50403": {
+      "content": "[XXXXX33]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50404": {
+      "content": "[XXXXX1193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50405": {
+      "content": "[XXXXX737]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50406": {
+      "content": "[XXXXX233]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50407": {
+      "content": "[XXXXX933]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50408": {
+      "content": "[XXXXX781]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50409": {
+      "content": "[XXXXX189]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50410": {
+      "content": "[XXXXX1006]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50411": {
+      "content": "[XXXXX219]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50412": {
+      "content": "[XXXXX454]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50413": {
+      "content": "[XXXXX449]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50414": {
+      "content": "[XXXXX697]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50415": {
+      "content": "[XXXXX724]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50416": {
+      "content": "[XXXXX224]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50417": {
+      "content": "[XXXXX1157]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50418": {
+      "content": "[XXXXX455]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50419": {
+      "content": "[XXXXX505]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50420": {
+      "content": "[XXXXX96]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50421": {
+      "content": "[XXXXX182]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50422": {
+      "content": "[XXXXX424]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50423": {
+      "content": "[XXXXX872]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50424": {
+      "content": "[XXXXX1163]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50425": {
+      "content": "[XXXXX1081]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50426": {
+      "content": "[XXXXX1173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50427": {
+      "content": "[XXXXX172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50428": {
+      "content": "[XXXXX507]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50429": {
+      "content": "[XXXXX920]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50430": {
+      "content": "[XXXXX1126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50431": {
+      "content": "[XXXXX474]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50432": {
+      "content": "[XXXXX971]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50433": {
+      "content": "[XXXXX1049]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50434": {
+      "content": "[XXXXX1114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50435": {
+      "content": "[XXXXX1040]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50436": {
+      "content": "[XXXXX79]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50437": {
+      "content": "[XXXXX36]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50438": {
+      "content": "[XXXXX977]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50439": {
+      "content": "[XXXXX1129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50440": {
+      "content": "[XXXXX1063]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50441": {
+      "content": "[XXXXX773]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50442": {
+      "content": "[XXXXX16]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50443": {
+      "content": "[XXXXX113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50444": {
+      "content": "[XXXXX320]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50445": {
+      "content": "[XXXXX167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50446": {
+      "content": "[XXXXX751]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50447": {
+      "content": "[XXXXX656]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50448": {
+      "content": "[XXXXX543]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50449": {
+      "content": "[XXXXX828]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50450": {
+      "content": "[XXXXX915]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50451": {
+      "content": "[XXXXX1098]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50452": {
+      "content": "[XXXXX569]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50453": {
+      "content": "[XXXXX1166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50454": {
+      "content": "[XXXXX846]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50455": {
+      "content": "[XXXXX324]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50456": {
+      "content": "[XXXXX802]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50457": {
+      "content": "[XXXXX588]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50458": {
+      "content": "[XXXXX739]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50459": {
+      "content": "[XXXXX50]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50460": {
+      "content": "[XXXXX882]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50461": {
+      "content": "[XXXXX1054]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50462": {
+      "content": "[XXXXX621]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50463": {
+      "content": "[XXXXX585]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50464": {
+      "content": "[XXXXX121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50465": {
+      "content": "[XXXXX647]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50466": {
+      "content": "[XXXXX767]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50467": {
+      "content": "[XXXXX645]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50468": {
+      "content": "[XXXXX27]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50469": {
+      "content": "[XXXXX907]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50470": {
+      "content": "[XXXXX1109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50471": {
+      "content": "[XXXXX1147]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50472": {
+      "content": "[XXXXX501]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50473": {
+      "content": "[XXXXX1164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50474": {
+      "content": "[XXXXX650]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50475": {
+      "content": "[XXXXX329]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50476": {
+      "content": "[XXXXX659]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50477": {
+      "content": "[XXXXX1158]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50478": {
+      "content": "[XXXXX104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50479": {
+      "content": "[XXXXX629]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50480": {
+      "content": "[XXXXX868]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50481": {
+      "content": "[XXXXX779]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50482": {
+      "content": "[XXXXX17]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50483": {
+      "content": "[XXXXX377]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50484": {
+      "content": "[XXXXX467]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50485": {
+      "content": "[XXXXX917]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50486": {
+      "content": "[XXXXX830]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50487": {
+      "content": "[XXXXX533]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50488": {
+      "content": "[XXXXX862]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50489": {
+      "content": "[XXXXX1041]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50490": {
+      "content": "[XXXXX542]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50491": {
+      "content": "[XXXXX595]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50492": {
+      "content": "[XXXXX353]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50493": {
+      "content": "[XXXXX181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50494": {
+      "content": "[XXXXX662]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50495": {
+      "content": "[XXXXX1195]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50496": {
+      "content": "[XXXXX435]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50497": {
+      "content": "[XXXXX1051]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50498": {
+      "content": "[XXXXX703]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50499": {
+      "content": "[XXXXX1140]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50500": {
+      "content": "[XXXXX750]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50501": {
+      "content": "[XXXXX57]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50502": {
+      "content": "[XXXXX75]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50503": {
+      "content": "[XXXXX293]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50504": {
+      "content": "[XXXXX681]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50505": {
+      "content": "[XXXXX46]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50506": {
+      "content": "[XXXXX30]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50507": {
+      "content": "[XXXXX402]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50508": {
+      "content": "[XXXXX803]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50509": {
+      "content": "[XXXXX821]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50510": {
+      "content": "[XXXXX871]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50511": {
+      "content": "[XXXXX980]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50512": {
+      "content": "[XXXXX990]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50513": {
+      "content": "[XXXXX626]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50514": {
+      "content": "[XXXXX90]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50515": {
+      "content": "[XXXXX77]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50516": {
+      "content": "[XXXXX819]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50517": {
+      "content": "[XXXXX436]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50518": {
+      "content": "[XXXXX306]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50519": {
+      "content": "[XXXXX434]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50520": {
+      "content": "[XXXXX88]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50521": {
+      "content": "[XXXXX184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50522": {
+      "content": "[XXXXX290]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50523": {
+      "content": "[XXXXX216]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50524": {
+      "content": "[XXXXX176]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50525": {
+      "content": "[XXXXX747]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50526": {
+      "content": "[XXXXX938]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50527": {
+      "content": "[XXXXX442]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50528": {
+      "content": "[XXXXX301]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50529": {
+      "content": "[XXXXX1015]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50530": {
+      "content": "[XXXXX520]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50531": {
+      "content": "[XXXXX829]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50532": {
+      "content": "[XXXXX106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50533": {
+      "content": "[XXXXX1048]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50534": {
+      "content": "[XXXXX923]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50535": {
+      "content": "[XXXXX958]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50536": {
+      "content": "[XXXXX1130]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50537": {
+      "content": "[XXXXX89]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50538": {
+      "content": "[XXXXX548]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50539": {
+      "content": "[XXXXX863]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50540": {
+      "content": "[XXXXX444]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50541": {
+      "content": "[XXXXX1149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50542": {
+      "content": "[XXXXX866]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50543": {
+      "content": "[XXXXX109]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50544": {
+      "content": "[XXXXX550]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50545": {
+      "content": "[XXXXX727]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50546": {
+      "content": "[XXXXX646]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50547": {
+      "content": "[XXXXX702]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50548": {
+      "content": "[XXXXX204]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50549": {
+      "content": "[XXXXX1000]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50550": {
+      "content": "[XXXXX591]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50551": {
+      "content": "[XXXXX1128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50552": {
+      "content": "[XXXXX937]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50553": {
+      "content": "[XXXXX141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50554": {
+      "content": "[XXXXX273]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50555": {
+      "content": "[XXXXX1183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50556": {
+      "content": "[XXXXX765]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50557": {
+      "content": "[XXXXX371]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50558": {
+      "content": "[XXXXX256]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50559": {
+      "content": "[XXXXX964]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50560": {
+      "content": "[XXXXX1148]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50561": {
+      "content": "[XXXXX930]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50562": {
+      "content": "[XXXXX212]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50563": {
+      "content": "[XXXXX133]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50564": {
+      "content": "[XXXXX608]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50565": {
+      "content": "[XXXXX281]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50566": {
+      "content": "[XXXXX1045]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50567": {
+      "content": "[XXXXX928]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50568": {
+      "content": "[XXXXX1154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50569": {
+      "content": "[XXXXX334]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50570": {
+      "content": "[XXXXX861]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50571": {
+      "content": "[XXXXX87]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50572": {
+      "content": "[XXXXX941]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50573": {
+      "content": "[XXXXX359]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50574": {
+      "content": "[XXXXX55]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50575": {
+      "content": "[XXXXX842]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50576": {
+      "content": "[XXXXX427]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50577": {
+      "content": "[XXXXX491]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50578": {
+      "content": "[XXXXX137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50579": {
+      "content": "[XXXXX47]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50580": {
+      "content": "[XXXXX511]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50581": {
+      "content": "[XXXXX81]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50582": {
+      "content": "[XXXXX139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50583": {
+      "content": "[XXXXX226]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50584": {
+      "content": "[XXXXX563]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50585": {
+      "content": "[XXXXX708]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50586": {
+      "content": "[XXXXX820]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50587": {
+      "content": "[XXXXX65]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50588": {
+      "content": "[XXXXX381]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50589": {
+      "content": "[XXXXX22]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50590": {
+      "content": "[XXXXX1064]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50591": {
+      "content": "[XXXXX874]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50592": {
+      "content": "[XXXXX944]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50593": {
+      "content": "[XXXXX6]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50594": {
+      "content": "[XXXXX313]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50595": {
+      "content": "[XXXXX471]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50596": {
+      "content": "[XXXXX1118]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50597": {
+      "content": "[XXXXX849]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50598": {
+      "content": "[XXXXX483]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50599": {
+      "content": "[XXXXX713]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50600": {
+      "content": "[XXXXX222]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50601": {
+      "content": "[XXXXX640]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50602": {
+      "content": "[XXXXX12]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50603": {
+      "content": "[XXXXX285]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50604": {
+      "content": "[XXXXX327]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50605": {
+      "content": "[XXXXX378]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50606": {
+      "content": "[XXXXX790]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50607": {
+      "content": "[XXXXX1179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50608": {
+      "content": "[XXXXX15]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50609": {
+      "content": "[XXXXX229]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50610": {
+      "content": "[XXXXX771]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50611": {
+      "content": "[XXXXX559]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50612": {
+      "content": "[XXXXX253]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50613": {
+      "content": "[XXXXX644]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50614": {
+      "content": "[XXXXX811]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50615": {
+      "content": "[XXXXX554]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50616": {
+      "content": "[XXXXX744]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50617": {
+      "content": "[XXXXX786]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50618": {
+      "content": "[XXXXX913]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50619": {
+      "content": "[XXXXX966]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50620": {
+      "content": "[XXXXX972]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50621": {
+      "content": "[XXXXX664]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50622": {
+      "content": "[XXXXX1131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50623": {
+      "content": "[XXXXX1132]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50624": {
+      "content": "[XXXXX376]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50625": {
+      "content": "[XXXXX672]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50626": {
+      "content": "[XXXXX1013]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50627": {
+      "content": "[XXXXX328]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50628": {
+      "content": "[XXXXX889]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50629": {
+      "content": "[XXXXX1141]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50630": {
+      "content": "[XXXXX429]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50631": {
+      "content": "[XXXXX114]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50632": {
+      "content": "[XXXXX523]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50633": {
+      "content": "[XXXXX833]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50634": {
+      "content": "[XXXXX927]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50635": {
+      "content": "[XXXXX297]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50636": {
+      "content": "[XXXXX812]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50637": {
+      "content": "[XXXXX1062]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50638": {
+      "content": "[XXXXX152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50639": {
+      "content": "[XXXXX1010]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50640": {
+      "content": "[XXXXX690]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50641": {
+      "content": "[XXXXX363]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50642": {
+      "content": "[XXXXX1103]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50643": {
+      "content": "[XXXXX194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50644": {
+      "content": "[XXXXX844]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50645": {
+      "content": "[XXXXX667]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50646": {
+      "content": "[XXXXX720]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50647": {
+      "content": "[XXXXX770]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50648": {
+      "content": "[XXXXX515]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50649": {
+      "content": "[XXXXX196]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50650": {
+      "content": "[XXXXX283]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50651": {
+      "content": "[XXXXX95]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50652": {
+      "content": "[XXXXX528]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50653": {
+      "content": "[XXXXX749]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50654": {
+      "content": "[XXXXX934]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50655": {
+      "content": "[XXXXX1052]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50656": {
+      "content": "[XXXXX1188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50657": {
+      "content": "[XXXXX1001]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50658": {
+      "content": "[XXXXX785]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50659": {
+      "content": "[XXXXX393]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50660": {
+      "content": "[XXXXX502]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50661": {
+      "content": "[XXXXX404]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50662": {
+      "content": "[XXXXX129]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50663": {
+      "content": "[XXXXX643]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50664": {
+      "content": "[XXXXX1086]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50665": {
+      "content": "[XXXXX1104]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50666": {
+      "content": "[XXXXX326]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50667": {
+      "content": "[XXXXX330]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50668": {
+      "content": "[XXXXX620]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50669": {
+      "content": "[XXXXX193]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50670": {
+      "content": "[XXXXX470]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50671": {
+      "content": "[XXXXX279]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50672": {
+      "content": "[XXXXX97]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50673": {
+      "content": "[XXXXX177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50674": {
+      "content": "[XXXXX510]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50675": {
+      "content": "[XXXXX225]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50676": {
+      "content": "[XXXXX572]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50677": {
+      "content": "[XXXXX777]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50678": {
+      "content": "[XXXXX1135]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50679": {
+      "content": "[XXXXX1160]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50680": {
+      "content": "[XXXXX558]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50681": {
+      "content": "[XXXXX416]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50682": {
+      "content": "[XXXXX246]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50683": {
+      "content": "[XXXXX799]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50684": {
+      "content": "[XXXXX153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50685": {
+      "content": "[XXXXX671]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50686": {
+      "content": "[XXXXX809]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50687": {
+      "content": "[XXXXX525]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50688": {
+      "content": "[XXXXX1004]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50689": {
+      "content": "[XXXXX1005]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50690": {
+      "content": "[XXXXX1194]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50691": {
+      "content": "[XXXXX408]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50692": {
+      "content": "[XXXXX492]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50693": {
+      "content": "[XXXXX973]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50694": {
+      "content": "[XXXXX242]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50695": {
+      "content": "[XXXXX357]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50696": {
+      "content": "[XXXXX851]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50697": {
+      "content": "[XXXXX999]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50698": {
+      "content": "[XXXXX969]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50699": {
+      "content": "[XXXXX453]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50700": {
+      "content": "[XXXXX730]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50701": {
+      "content": "[XXXXX54]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50702": {
+      "content": "[XXXXX480]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50703": {
+      "content": "[XXXXX564]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50704": {
+      "content": "[XXXXX600]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50705": {
+      "content": "[XXXXX654]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50706": {
+      "content": "[XXXXX37]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50707": {
+      "content": "[XXXXX605]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50708": {
+      "content": "[XXXXX164]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50709": {
+      "content": "[XXXXX395]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50710": {
+      "content": "[XXXXX401]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50711": {
+      "content": "[XXXXX446]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50712": {
+      "content": "[XXXXX658]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50713": {
+      "content": "[XXXXX60]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50714": {
+      "content": "[XXXXX107]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50715": {
+      "content": "[XXXXX131]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50716": {
+      "content": "[XXXXX387]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50717": {
+      "content": "[XXXXX67]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50718": {
+      "content": "[XXXXX743]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50719": {
+      "content": "[XXXXX657]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50720": {
+      "content": "[XXXXX418]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50721": {
+      "content": "[XXXXX787]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50722": {
+      "content": "[XXXXX838]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50723": {
+      "content": "[XXXXX298]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50724": {
+      "content": "[XXXXX1007]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50725": {
+      "content": "[XXXXX1027]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50726": {
+      "content": "[XXXXX1078]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50727": {
+      "content": "[XXXXX651]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50728": {
+      "content": "[XXXXX875]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50729": {
+      "content": "[XXXXX258]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50730": {
+      "content": "[XXXXX413]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50731": {
+      "content": "[XXXXX1092]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50732": {
+      "content": "[XXXXX124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50733": {
+      "content": "[XXXXX308]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50734": {
+      "content": "[XXXXX1085]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50735": {
+      "content": "[XXXXX1170]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50736": {
+      "content": "[XXXXX38]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50737": {
+      "content": "[XXXXX438]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50738": {
+      "content": "[XXXXX475]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50739": {
+      "content": "[XXXXX900]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50740": {
+      "content": "[XXXXX263]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50741": {
+      "content": "[XXXXX166]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50742": {
+      "content": "[XXXXX698]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50743": {
+      "content": "[XXXXX1127]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50744": {
+      "content": "[XXXXX1181]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50745": {
+      "content": "[XXXXX763]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50746": {
+      "content": "[XXXXX627]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50747": {
+      "content": "[XXXXX250]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50748": {
+      "content": "[XXXXX757]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50749": {
+      "content": "[XXXXX142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50750": {
+      "content": "[XXXXX794]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50751": {
+      "content": "[XXXXX128]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50752": {
+      "content": "[XXXXX35]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50753": {
+      "content": "[XXXXX482]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50754": {
+      "content": "[XXXXX834]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50755": {
+      "content": "[XXXXX679]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50756": {
+      "content": "[XXXXX839]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50757": {
+      "content": "[XXXXX138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50758": {
+      "content": "[XXXXX1066]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50759": {
+      "content": "[XXXXX116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50760": {
+      "content": "[XXXXX317]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50761": {
+      "content": "[XXXXX490]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50762": {
+      "content": "[XXXXX443]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50763": {
+      "content": "[XXXXX879]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50764": {
+      "content": "[XXXXX1101]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50765": {
+      "content": "[XXXXX711]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50766": {
+      "content": "[XXXXX123]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50767": {
+      "content": "[XXXXX1152]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50768": {
+      "content": "[XXXXX692]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50769": {
+      "content": "[XXXXX555]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50770": {
+      "content": "[XXXXX266]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50771": {
+      "content": "[XXXXX0]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50772": {
+      "content": "[XXXXX332]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50773": {
+      "content": "[XXXXX497]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50774": {
+      "content": "[XXXXX904]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50775": {
+      "content": "[XXXXX1019]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50776": {
+      "content": "[XXXXX709]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50777": {
+      "content": "[XXXXX351]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50778": {
+      "content": "[XXXXX764]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50779": {
+      "content": "[XXXXX625]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50780": {
+      "content": "[XXXXX798]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50781": {
+      "content": "[XXXXX205]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50782": {
+      "content": "[XXXXX922]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50783": {
+      "content": "[XXXXX1075]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50784": {
+      "content": "[XXXXX8]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50785": {
+      "content": "[XXXXX422]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50786": {
+      "content": "[XXXXX638]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50787": {
+      "content": "[XXXXX98]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50788": {
+      "content": "[XXXXX814]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50789": {
+      "content": "[XXXXX1057]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50790": {
+      "content": "[XXXXX1070]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50791": {
+      "content": "[XXXXX411]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50792": {
+      "content": "[XXXXX768]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50793": {
+      "content": "[XXXXX1165]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50794": {
+      "content": "[XXXXX888]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50795": {
+      "content": "[XXXXX636]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50796": {
+      "content": "[XXXXX1047]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50797": {
+      "content": "[XXXXX960]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50798": {
+      "content": "[XXXXX910]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50799": {
+      "content": "[XXXXX42]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50800": {
+      "content": "[XXXXX238]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50801": {
+      "content": "[XXXXX383]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50802": {
+      "content": "[XXXXX1032]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50803": {
+      "content": "[XXXXX577]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50804": {
+      "content": "[XXXXX268]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50805": {
+      "content": "[XXXXX179]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50806": {
+      "content": "[XXXXX1076]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50807": {
+      "content": "[XXXXX1167]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50808": {
+      "content": "[XXXXX1172]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50809": {
+      "content": "[XXXXX665]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50810": {
+      "content": "[XXXXX126]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50811": {
+      "content": "[XXXXX347]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50812": {
+      "content": "[XXXXX544]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50813": {
+      "content": "[XXXXX1026]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50814": {
+      "content": "[XXXXX159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50815": {
+      "content": "[XXXXX503]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50816": {
+      "content": "[XXXXX583]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50817": {
+      "content": "[XXXXX668]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50818": {
+      "content": "[XXXXX1115]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50819": {
+      "content": "[XXXXX112]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50820": {
+      "content": "[XXXXX154]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50821": {
+      "content": "[XXXXX761]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50822": {
+      "content": "[XXXXX540]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50823": {
+      "content": "[XXXXX755]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50824": {
+      "content": "[XXXXX255]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50825": {
+      "content": "[XXXXX459]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50826": {
+      "content": "[XXXXX1090]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50827": {
+      "content": "[XXXXX689]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50828": {
+      "content": "[XXXXX589]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50829": {
+      "content": "[XXXXX122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50830": {
+      "content": "[XXXXX789]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50831": {
+      "content": "[XXXXX481]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50832": {
+      "content": "[XXXXX1044]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50833": {
+      "content": "[XXXXX274]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50834": {
+      "content": "[XXXXX957]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50835": {
+      "content": "[XXXXX1121]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50836": {
+      "content": "[XXXXX464]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50837": {
+      "content": "[XXXXX495]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50838": {
+      "content": "[XXXXX1097]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50839": {
+      "content": "[XXXXX581]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50840": {
+      "content": "[XXXXX200]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50841": {
+      "content": "[XXXXX954]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50842": {
+      "content": "[XXXXX48]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50843": {
+      "content": "[XXXXX855]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50844": {
+      "content": "[XXXXX419]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50845": {
+      "content": "[XXXXX919]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50846": {
+      "content": "[XXXXX451]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50847": {
+      "content": "[XXXXX869]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50848": {
+      "content": "[XXXXX1082]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50849": {
+      "content": "[XXXXX1185]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50850": {
+      "content": "[XXXXX859]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50851": {
+      "content": "[XXXXX1139]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50852": {
+      "content": "[XXXXX1072]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50853": {
+      "content": "[XXXXX220]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50854": {
+      "content": "[XXXXX465]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50855": {
+      "content": "[XXXXX1105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50856": {
+      "content": "[XXXXX1093]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50857": {
+      "content": "[XXXXX953]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50858": {
+      "content": "[XXXXX1187]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50859": {
+      "content": "[XXXXX311]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50860": {
+      "content": "[XXXXX403]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50861": {
+      "content": "[XXXXX684]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50862": {
+      "content": "[XXXXX426]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50863": {
+      "content": "[XXXXX68]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50864": {
+      "content": "[XXXXX277]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50865": {
+      "content": "[XXXXX437]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50866": {
+      "content": "[XXXXX896]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50867": {
+      "content": "[XXXXX899]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50868": {
+      "content": "[XXXXX878]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50869": {
+      "content": "[XXXXX1073]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50870": {
+      "content": "[XXXXX774]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50871": {
+      "content": "[XXXXX315]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50872": {
+      "content": "[XXXXX631]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50873": {
+      "content": "[XXXXX223]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50874": {
+      "content": "[XXXXX86]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50875": {
+      "content": "[XXXXX607]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50876": {
+      "content": "[XXXXX149]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50877": {
+      "content": "[XXXXX566]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50878": {
+      "content": "[XXXXX740]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50879": {
+      "content": "[XXXXX265]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50880": {
+      "content": "[XXXXX399]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50881": {
+      "content": "[XXXXX1053]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50882": {
+      "content": "[XXXXX1077]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50883": {
+      "content": "[XXXXX336]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50884": {
+      "content": "[XXXXX734]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50885": {
+      "content": "[XXXXX289]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50886": {
+      "content": "[XXXXX221]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50887": {
+      "content": "[XXXXX580]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50888": {
+      "content": "[XXXXX406]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50889": {
+      "content": "[XXXXX854]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50890": {
+      "content": "[XXXXX673]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50891": {
+      "content": "[XXXXX1146]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50892": {
+      "content": "[XXXXX29]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50893": {
+      "content": "[XXXXX496]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50894": {
+      "content": "[XXXXX241]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50895": {
+      "content": "[XXXXX929]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50896": {
+      "content": "[XXXXX169]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50897": {
+      "content": "[XXXXX1153]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50898": {
+      "content": "[XXXXX440]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50899": {
+      "content": "[XXXXX385]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50900": {
+      "content": "[XXXXX499]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50901": {
+      "content": "[XXXXX718]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50902": {
+      "content": "[XXXXX848]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50903": {
+      "content": "[XXXXX877]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50904": {
+      "content": "[XXXXX641]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50905": {
+      "content": "[XXXXX1137]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50906": {
+      "content": "[XXXXX269]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50907": {
+      "content": "[XXXXX521]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50908": {
+      "content": "[XXXXX234]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50909": {
+      "content": "[XXXXX987]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50910": {
+      "content": "[XXXXX741]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50911": {
+      "content": "[XXXXX349]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50912": {
+      "content": "[XXXXX93]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50913": {
+      "content": "[XXXXX247]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50914": {
+      "content": "[XXXXX961]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50915": {
+      "content": "[XXXXX1120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50916": {
+      "content": "[XXXXX369]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50917": {
+      "content": "[XXXXX479]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50918": {
+      "content": "[XXXXX892]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50919": {
+      "content": "[XXXXX553]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50920": {
+      "content": "[XXXXX906]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50921": {
+      "content": "[XXXXX571]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50922": {
+      "content": "[XXXXX1046]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50923": {
+      "content": "[XXXXX206]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50924": {
+      "content": "[XXXXX488]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50925": {
+      "content": "[XXXXX445]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50926": {
+      "content": "[XXXXX524]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50927": {
+      "content": "[XXXXX228]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50928": {
+      "content": "[XXXXX998]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50929": {
+      "content": "[XXXXX675]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50930": {
+      "content": "[XXXXX732]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50931": {
+      "content": "[XXXXX1028]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50932": {
+      "content": "[XXXXX494]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50933": {
+      "content": "[XXXXX965]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50934": {
+      "content": "[XXXXX1021]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50935": {
+      "content": "[XXXXX726]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50936": {
+      "content": "[XXXXX168]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50937": {
+      "content": "[XXXXX606]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50938": {
+      "content": "[XXXXX974]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50939": {
+      "content": "[XXXXX504]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50940": {
+      "content": "[XXXXX556]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50941": {
+      "content": "[XXXXX1159]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50942": {
+      "content": "[XXXXX417]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50943": {
+      "content": "[XXXXX1175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50944": {
+      "content": "[XXXXX1142]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50945": {
+      "content": "[XXXXX753]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50946": {
+      "content": "[XXXXX824]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50947": {
+      "content": "[XXXXX251]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50948": {
+      "content": "[XXXXX345]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50949": {
+      "content": "[XXXXX610]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50950": {
+      "content": "[XXXXX276]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50951": {
+      "content": "[XXXXX783]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50952": {
+      "content": "[XXXXX74]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50953": {
+      "content": "[XXXXX1050]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50954": {
+      "content": "[XXXXX71]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50955": {
+      "content": "[XXXXX360]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50956": {
+      "content": "[XXXXX512]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50957": {
+      "content": "[XXXXX341]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50958": {
+      "content": "[XXXXX375]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50959": {
+      "content": "[XXXXX637]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50960": {
+      "content": "[XXXXX1116]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50961": {
+      "content": "[XXXXX9]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50962": {
+      "content": "[XXXXX738]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50963": {
+      "content": "[XXXXX856]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50964": {
+      "content": "[XXXXX979]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50965": {
+      "content": "[XXXXX825]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50966": {
+      "content": "[XXXXX852]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50967": {
+      "content": "[XXXXX215]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50968": {
+      "content": "[XXXXX91]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50969": {
+      "content": "[XXXXX257]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50970": {
+      "content": "[XXXXX325]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50971": {
+      "content": "[XXXXX368]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50972": {
+      "content": "[XXXXX1124]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50973": {
+      "content": "[XXXXX188]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50974": {
+      "content": "[XXXXX905]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50975": {
+      "content": "[XXXXX284]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50976": {
+      "content": "[XXXXX11]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50977": {
+      "content": "[XXXXX83]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50978": {
+      "content": "[XXXXX611]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50979": {
+      "content": "[XXXXX51]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50980": {
+      "content": "[XXXXX99]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50981": {
+      "content": "[XXXXX288]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50982": {
+      "content": "[XXXXX945]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50983": {
+      "content": "[XXXXX975]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50984": {
+      "content": "[XXXXX282]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50985": {
+      "content": "[XXXXX1068]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50986": {
+      "content": "[XXXXX1180]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50987": {
+      "content": "[XXXXX574]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50988": {
+      "content": "[XXXXX305]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50989": {
+      "content": "[XXXXX565]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50990": {
+      "content": "[XXXXX865]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50991": {
+      "content": "[XXXXX1014]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50992": {
+      "content": "[XXXXX1138]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50993": {
+      "content": "[XXXXX134]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50994": {
+      "content": "[XXXXX321]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50995": {
+      "content": "[XXXXX752]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50996": {
+      "content": "[XXXXX108]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50997": {
+      "content": "[XXXXX339]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50998": {
+      "content": "[XXXXX893]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50999": {
+      "content": "[XXXXX1177]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51000": {
+      "content": "[XXXXX988]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51001": {
+      "content": "[XXXXX719]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51002": {
+      "content": "[XXXXX1059]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51003": {
+      "content": "[XXXXX421]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51004": {
+      "content": "[XXXXX670]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51005": {
+      "content": "[XXXXX949]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51006": {
+      "content": "[XXXXX14]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51007": {
+      "content": "[XXXXX1087]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51008": {
+      "content": "[XXXXX382]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51009": {
+      "content": "[XXXXX531]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51010": {
+      "content": "[XXXXX1079]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51011": {
+      "content": "[XXXXX1067]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51012": {
+      "content": "[XXXXX655]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51013": {
+      "content": "[XXXXX340]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51014": {
+      "content": "[XXXXX398]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51015": {
+      "content": "[XXXXX175]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51016": {
+      "content": "[XXXXX232]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51017": {
+      "content": "[XXXXX244]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51018": {
+      "content": "[XXXXX568]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51019": {
+      "content": "[XXXXX1110]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51020": {
+      "content": "[XXXXX191]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51021": {
+      "content": "[XXXXX931]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51022": {
+      "content": "[XXXXX832]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51023": {
+      "content": "[XXXXX1030]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51024": {
+      "content": "[XXXXX144]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51025": {
+      "content": "[XXXXX1102]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51026": {
+      "content": "[XXXXX300]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51027": {
+      "content": "[XXXXX996]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51028": {
+      "content": "[XXXXX248]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51029": {
+      "content": "[XXXXX66]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51030": {
+      "content": "[XXXXX735]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51031": {
+      "content": "[XXXXX20]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51032": {
+      "content": "[XXXXX694]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51033": {
+      "content": "[XXXXX845]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51034": {
+      "content": "[XXXXX500]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51035": {
+      "content": "[XXXXX613]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51036": {
+      "content": "[XXXXX117]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51037": {
+      "content": "[XXXXX886]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51038": {
+      "content": "[XXXXX261]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51039": {
+      "content": "[XXXXX567]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51040": {
+      "content": "[XXXXX541]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51041": {
+      "content": "[XXXXX529]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51042": {
+      "content": "[XXXXX699]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51043": {
+      "content": "[XXXXX715]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51044": {
+      "content": "[XXXXX1003]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51045": {
+      "content": "[XXXXX518]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51046": {
+      "content": "[XXXXX891]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51047": {
+      "content": "[XXXXX192]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51048": {
+      "content": "[XXXXX53]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51049": {
+      "content": "[XXXXX428]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51050": {
+      "content": "[XXXXX183]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51051": {
+      "content": "[XXXXX850]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51052": {
+      "content": "[XXXXX539]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51053": {
+      "content": "[XXXXX527]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51054": {
+      "content": "[XXXXX660]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51055": {
+      "content": "[XXXXX409]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51056": {
+      "content": "[XXXXX1122]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51057": {
+      "content": "[XXXXX898]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51058": {
+      "content": "[XXXXX858]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51059": {
+      "content": "[XXXXX534]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51060": {
+      "content": "[XXXXX756]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51061": {
+      "content": "[XXXXX63]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51062": {
+      "content": "[XXXXX49]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51063": {
+      "content": "[XXXXX1106]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51064": {
+      "content": "[XXXXX111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51065": {
+      "content": "[XXXXX955]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51066": {
+      "content": "[XXXXX309]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51067": {
+      "content": "[XXXXX538]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51068": {
+      "content": "[XXXXX823]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51069": {
+      "content": "[XXXXX867]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51070": {
+      "content": "[XXXXX587]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51071": {
+      "content": "[XXXXX243]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51072": {
+      "content": "[XXXXX677]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51073": {
+      "content": "[XXXXX1017]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51074": {
+      "content": "[XXXXX173]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51075": {
+      "content": "[XXXXX682]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51076": {
+      "content": "[XXXXX1184]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51077": {
+      "content": "[XXXXX1009]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51078": {
+      "content": "[XXXXX704]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51079": {
+      "content": "[XXXXX532]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51080": {
+      "content": "[XXXXX901]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51081": {
+      "content": "[XXXXX120]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51082": {
+      "content": "[XXXXX388]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51083": {
+      "content": "[XXXXX405]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51084": {
+      "content": "[XXXXX788]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51085": {
+      "content": "[XXXXX728]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51086": {
+      "content": "[XXXXX425]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51087": {
+      "content": "[XXXXX883]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51088": {
+      "content": "[XXXXX837]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51089": {
+      "content": "[XXXXX350]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51090": {
+      "content": "[XXXXX716]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51091": {
+      "content": "[XXXXX579]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51092": {
+      "content": "[XXXXX909]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51093": {
+      "content": "[XXXXX884]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51094": {
+      "content": "[XXXXX1011]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51095": {
+      "content": "[XXXXX372]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51096": {
+      "content": "[XXXXX370]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51097": {
+      "content": "[XXXXX468]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51098": {
+      "content": "[XXXXX688]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51099": {
+      "content": "[XXXXX56]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51100": {
+      "content": "[XXXXX653]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51101": {
+      "content": "[XXXXX623]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51102": {
+      "content": "[XXXXX552]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51103": {
+      "content": "[XXXXX314]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51104": {
+      "content": "[XXXXX1018]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51105": {
+      "content": "[XXXXX1091]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51106": {
+      "content": "[XXXXX342]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51107": {
+      "content": "[XXXXX1065]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51108": {
+      "content": "[XXXXX1161]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51109": {
+      "content": "[XXXXX959]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51110": {
+      "content": "[XXXXX1035]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51111": {
+      "content": "[XXXXX530]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51112": {
+      "content": "[XXXXX69]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51113": {
+      "content": "[XXXXX489]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51114": {
+      "content": "[XXXXX1]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51115": {
+      "content": "[XXXXX207]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51116": {
+      "content": "[XXXXX433]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51117": {
+      "content": "[XXXXX358]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51118": {
+      "content": "[XXXXX601]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51119": {
+      "content": "[XXXXX2]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51120": {
+      "content": "[XXXXX722]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51121": {
+      "content": "[XXXXX985]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51122": {
+      "content": "[XXXXX908]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51123": {
+      "content": "[XXXXX1024]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51124": {
+      "content": "[XXXXX1111]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51125": {
+      "content": "[XXXXX1113]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51126": {
+      "content": "[XXXXX678]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51127": {
+      "content": "[XXXXX19]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51128": {
+      "content": "[XXXXX1186]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51129": {
+      "content": "[XXXXX808]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51130": {
+      "content": "[XXXXX493]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51131": {
+      "content": "[XXXXX1155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51132": {
+      "content": "[XXXXX217]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51133": {
+      "content": "[XXXXX616]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51134": {
+      "content": "[XXXXX835]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51135": {
+      "content": "[XXXXX994]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51136": {
+      "content": "[XXXXX484]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51137": {
+      "content": "[XXXXX362]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51138": {
+      "content": "[XXXXX582]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51139": {
+      "content": "[XXXXX1034]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51140": {
+      "content": "[XXXXX772]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51141": {
+      "content": "[XXXXX457]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51142": {
+      "content": "[XXXXX604]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51143": {
+      "content": "[XXXXX456]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51144": {
+      "content": "[XXXXX145]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51145": {
+      "content": "[XXXXX476]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51146": {
+      "content": "[XXXXX218]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51147": {
+      "content": "[XXXXX199]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51148": {
+      "content": "[XXXXX364]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51149": {
+      "content": "[XXXXX302]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51150": {
+      "content": "[XXXXX881]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51151": {
+      "content": "[XXXXX1088]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51152": {
+      "content": "[XXXXX356]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51153": {
+      "content": "[XXXXX936]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51154": {
+      "content": "[XXXXX978]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51155": {
+      "content": "[XXXXX895]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51156": {
+      "content": "[XXXXX993]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51157": {
+      "content": "[XXXXX458]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51158": {
+      "content": "[XXXXX1002]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51159": {
+      "content": "[XXXXX1022]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51160": {
+      "content": "[XXXXX25]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51161": {
+      "content": "[XXXXX766]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51162": {
+      "content": "[XXXXX64]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51163": {
+      "content": "[XXXXX211]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51164": {
+      "content": "[XXXXX82]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51165": {
+      "content": "[XXXXX634]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51166": {
+      "content": "[XXXXX661]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51167": {
+      "content": "[XXXXX748]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51168": {
+      "content": "[XXXXX778]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51169": {
+      "content": "[XXXXX24]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51170": {
+      "content": "[XXXXX448]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51171": {
+      "content": "[XXXXX887]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51172": {
+      "content": "[XXXXX890]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51173": {
+      "content": "[XXXXX754]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51174": {
+      "content": "[XXXXX343]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51175": {
+      "content": "[XXXXX1069]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51176": {
+      "content": "[XXXXX294]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51177": {
+      "content": "[XXXXX295]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51178": {
+      "content": "[XXXXX197]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51179": {
+      "content": "[XXXXX210]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51180": {
+      "content": "[XXXXX630]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51181": {
+      "content": "[XXXXX707]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51182": {
+      "content": "[XXXXX864]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51183": {
+      "content": "[XXXXX391]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51184": {
+      "content": "[XXXXX338]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51185": {
+      "content": "[XXXXX800]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51186": {
+      "content": "[XXXXX841]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51187": {
+      "content": "[XXXXX967]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51188": {
+      "content": "[XXXXX793]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51189": {
+      "content": "[XXXXX916]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51190": {
+      "content": "[XXXXX603]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51191": {
+      "content": "[XXXXX270]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51192": {
+      "content": "[XXXXX105]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51193": {
+      "content": "[XXXXX1016]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51194": {
+      "content": "[XXXXX804]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51195": {
+      "content": "[XXXXX264]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51196": {
+      "content": "[XXXXX155]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51197": {
+      "content": "[XXXXX1190]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51198": {
+      "content": "[XXXXX813]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "51199": {
+      "content": "[XXXXX546]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "[XXXXX160]",
+    "[XXXXX240]",
+    "[XXXXX717]",
+    "[XXXXX23]",
+    "[XXXXX161]",
+    "[XXXXX1156]",
+    "[XXXXX5]",
+    "[XXXXX597]",
+    "[XXXXX415]",
+    "[XXXXX693]",
+    "[XXXXX1083]",
+    "[XXXXX784]",
+    "[XXXXX686]",
+    "[XXXXX379]",
+    "[XXXXX335]",
+    "[XXXXX73]",
+    "[XXXXX758]",
+    "[XXXXX805]",
+    "[XXXXX840]",
+    "[XXXXX1037]",
+    "[XXXXX235]",
+    "[XXXXX1107]",
+    "[XXXXX776]",
+    "[XXXXX286]",
+    "[XXXXX396]",
+    "[XXXXX478]",
+    "[XXXXX669]",
+    "[XXXXX691]",
+    "[XXXXX826]",
+    "[XXXXX1150]",
+    "[XXXXX853]",
+    "[XXXXX130]",
+    "[XXXXX989]",
+    "[XXXXX249]",
+    "[XXXXX902]",
+    "[XXXXX1169]",
+    "[XXXXX260]",
+    "[XXXXX706]",
+    "[XXXXX146]",
+    "[XXXXX198]",
+    "[XXXXX303]",
+    "[XXXXX1192]",
+    "[XXXXX635]",
+    "[XXXXX271]",
+    "[XXXXX1023]",
+    "[XXXXX602]",
+    "[XXXXX291]",
+    "[XXXXX190]",
+    "[XXXXX1055]",
+    "[XXXXX70]",
+    "[XXXXX178]",
+    "[XXXXX318]",
+    "[XXXXX62]",
+    "[XXXXX473]",
+    "[XXXXX517]",
+    "[XXXXX924]",
+    "[XXXXX970]",
+    "[XXXXX1033]",
+    "[XXXXX110]",
+    "[XXXXX1151]",
+    "[XXXXX1189]",
+    "[XXXXX1095]",
+    "[XXXXX148]",
+    "[XXXXX337]",
+    "[XXXXX245]",
+    "[XXXXX407]",
+    "[XXXXX557]",
+    "[XXXXX576]",
+    "[XXXXX914]",
+    "[XXXXX963]",
+    "[XXXXX951]",
+    "[XXXXX721]",
+    "[XXXXX1174]",
+    "[XXXXX3]",
+    "[XXXXX792]",
+    "[XXXXX843]",
+    "[XXXXX590]",
+    "[XXXXX118]",
+    "[XXXXX280]",
+    "[XXXXX1119]",
+    "[XXXXX1025]",
+    "[XXXXX140]",
+    "[XXXXX873]",
+    "[XXXXX103]",
+    "[XXXXX307]",
+    "[XXXXX946]",
+    "[XXXXX782]",
+    "[XXXXX100]",
+    "[XXXXX485]",
+    "[XXXXX151]",
+    "[XXXXX213]",
+    "[XXXXX847]",
+    "[XXXXX880]",
+    "[XXXXX44]",
+    "[XXXXX1031]",
+    "[XXXXX545]",
+    "[XXXXX78]",
+    "[XXXXX687]",
+    "[XXXXX925]",
+    "[XXXXX519]",
+    "[XXXXX1191]",
+    "[XXXXX13]",
+    "[XXXXX487]",
+    "[XXXXX932]",
+    "[XXXXX119]",
+    "[XXXXX170]",
+    "[XXXXX254]",
+    "[XXXXX420]",
+    "[XXXXX962]",
+    "[XXXXX441]",
+    "[XXXXX950]",
+    "[XXXXX18]",
+    "[XXXXX676]",
+    "[XXXXX1133]",
+    "[XXXXX618]",
+    "[XXXXX374]",
+    "[XXXXX815]",
+    "[XXXXX1058]",
+    "[XXXXX1108]",
+    "[XXXXX1144]",
+    "[XXXXX791]",
+    "[XXXXX259]",
+    "[XXXXX1074]",
+    "[XXXXX696]",
+    "[XXXXX1168]",
+    "[XXXXX592]",
+    "[XXXXX127]",
+    "[XXXXX136]",
+    "[XXXXX237]",
+    "[XXXXX705]",
+    "[XXXXX983]",
+    "[XXXXX816]",
+    "[XXXXX412]",
+    "[XXXXX410]",
+    "[XXXXX795]",
+    "[XXXXX101]",
+    "[XXXXX171]",
+    "[XXXXX628]",
+    "[XXXXX1038]",
+    "[XXXXX447]",
+    "[XXXXX1043]",
+    "[XXXXX147]",
+    "[XXXXX1112]",
+    "[XXXXX186]",
+    "[XXXXX461]",
+    "[XXXXX423]",
+    "[XXXXX26]",
+    "[XXXXX227]",
+    "[XXXXX746]",
+    "[XXXXX818]",
+    "[XXXXX725]",
+    "[XXXXX400]",
+    "[XXXXX827]",
+    "[XXXXX1020]",
+    "[XXXXX1060]",
+    "[XXXXX195]",
+    "[XXXXX526]",
+    "[XXXXX570]",
+    "[XXXXX174]",
+    "[XXXXX333]",
+    "[XXXXX466]",
+    "[XXXXX513]",
+    "[XXXXX695]",
+    "[XXXXX84]",
+    "[XXXXX1080]",
+    "[XXXXX76]",
+    "[XXXXX742]",
+    "[XXXXX1008]",
+    "[XXXXX1123]",
+    "[XXXXX1145]",
+    "[XXXXX701]",
+    "[XXXXX562]",
+    "[XXXXX615]",
+    "[XXXXX389]",
+    "[XXXXX267]",
+    "[XXXXX323]",
+    "[XXXXX346]",
+    "[XXXXX287]",
+    "[XXXXX469]",
+    "[XXXXX58]",
+    "[XXXXX431]",
+    "[XXXXX926]",
+    "[XXXXX1182]",
+    "[XXXXX992]",
+    "[XXXXX185]",
+    "[XXXXX352]",
+    "[XXXXX762]",
+    "[XXXXX991]",
+    "[XXXXX85]",
+    "[XXXXX836]",
+    "[XXXXX460]",
+    "[XXXXX272]",
+    "[XXXXX619]",
+    "[XXXXX759]",
+    "[XXXXX94]",
+    "[XXXXX807]",
+    "[XXXXX299]",
+    "[XXXXX187]",
+    "[XXXXX486]",
+    "[XXXXX45]",
+    "[XXXXX1036]",
+    "[XXXXX354]",
+    "[XXXXX386]",
+    "[XXXXX714]",
+    "[XXXXX769]",
+    "[XXXXX304]",
+    "[XXXXX92]",
+    "[XXXXX7]",
+    "[XXXXX31]",
+    "[XXXXX102]",
+    "[XXXXX163]",
+    "[XXXXX723]",
+    "[XXXXX1042]",
+    "[XXXXX452]",
+    "[XXXXX622]",
+    "[XXXXX1056]",
+    "[XXXXX822]",
+    "[XXXXX125]",
+    "[XXXXX617]",
+    "[XXXXX34]",
+    "[XXXXX712]",
+    "[XXXXX780]",
+    "[XXXXX547]",
+    "[XXXXX857]",
+    "[XXXXX860]",
+    "[XXXXX897]",
+    "[XXXXX663]",
+    "[XXXXX736]",
+    "[XXXXX202]",
+    "[XXXXX1029]",
+    "[XXXXX956]",
+    "[XXXXX397]",
+    "[XXXXX239]",
+    "[XXXXX472]",
+    "[XXXXX230]",
+    "[XXXXX796]",
+    "[XXXXX639]",
+    "[XXXXX203]",
+    "[XXXXX231]",
+    "[XXXXX652]",
+    "[XXXXX981]",
+    "[XXXXX911]",
+    "[XXXXX380]",
+    "[XXXXX477]",
+    "[XXXXX952]",
+    "[XXXXX28]",
+    "[XXXXX801]",
+    "[XXXXX1134]",
+    "[XXXXX1176]",
+    "[XXXXX180]",
+    "[XXXXX598]",
+    "[XXXXX365]",
+    "[XXXXX729]",
+    "[XXXXX214]",
+    "[XXXXX1117]",
+    "[XXXXX278]",
+    "[XXXXX522]",
+    "[XXXXX683]",
+    "[XXXXX731]",
+    "[XXXXX312]",
+    "[XXXXX1178]",
+    "[XXXXX666]",
+    "[XXXXX982]",
+    "[XXXXX414]",
+    "[XXXXX935]",
+    "[XXXXX1089]",
+    "[XXXXX236]",
+    "[XXXXX463]",
+    "[XXXXX52]",
+    "[XXXXX593]",
+    "[XXXXX508]",
+    "[XXXXX1125]",
+    "[XXXXX462]",
+    "[XXXXX32]",
+    "[XXXXX596]",
+    "[XXXXX948]",
+    "[XXXXX150]",
+    "[XXXXX322]",
+    "[XXXXX390]",
+    "[XXXXX918]",
+    "[XXXXX157]",
+    "[XXXXX310]",
+    "[XXXXX392]",
+    "[XXXXX649]",
+    "[XXXXX158]",
+    "[XXXXX430]",
+    "[XXXXX384]",
+    "[XXXXX760]",
+    "[XXXXX700]",
+    "[XXXXX817]",
+    "[XXXXX115]",
+    "[XXXXX885]",
+    "[XXXXX940]",
+    "[XXXXX997]",
+    "[XXXXX61]",
+    "[XXXXX209]",
+    "[XXXXX316]",
+    "[XXXXX537]",
+    "[XXXXX599]",
+    "[XXXXX680]",
+    "[XXXXX135]",
+    "[XXXXX39]",
+    "[XXXXX685]",
+    "[XXXXX806]",
+    "[XXXXX870]",
+    "[XXXXX1096]",
+    "[XXXXX366]",
+    "[XXXXX509]",
+    "[XXXXX943]",
+    "[XXXXX292]",
+    "[XXXXX367]",
+    "[XXXXX632]",
+    "[XXXXX1136]",
+    "[XXXXX156]",
+    "[XXXXX1100]",
+    "[XXXXX432]",
+    "[XXXXX514]",
+    "[XXXXX903]",
+    "[XXXXX939]",
+    "[XXXXX986]",
+    "[XXXXX506]",
+    "[XXXXX10]",
+    "[XXXXX573]",
+    "[XXXXX968]",
+    "[XXXXX1039]",
+    "[XXXXX252]",
+    "[XXXXX612]",
+    "[XXXXX947]",
+    "[XXXXX1162]",
+    "[XXXXX733]",
+    "[XXXXX976]",
+    "[XXXXX535]",
+    "[XXXXX710]",
+    "[XXXXX40]",
+    "[XXXXX984]",
+    "[XXXXX584]",
+    "[XXXXX132]",
+    "[XXXXX1084]",
+    "[XXXXX549]",
+    "[XXXXX810]",
+    "[XXXXX208]",
+    "[XXXXX609]",
+    "[XXXXX275]",
+    "[XXXXX262]",
+    "[XXXXX331]",
+    "[XXXXX361]",
+    "[XXXXX561]",
+    "[XXXXX143]",
+    "[XXXXX1061]",
+    "[XXXXX59]",
+    "[XXXXX21]",
+    "[XXXXX995]",
+    "[XXXXX439]",
+    "[XXXXX831]",
+    "[XXXXX745]",
+    "[XXXXX43]",
+    "[XXXXX498]",
+    "[XXXXX575]",
+    "[XXXXX624]",
+    "[XXXXX72]",
+    "[XXXXX921]",
+    "[XXXXX201]",
+    "[XXXXX1171]",
+    "[XXXXX912]",
+    "[XXXXX775]",
+    "[XXXXX1094]",
+    "[XXXXX80]",
+    "[XXXXX894]",
+    "[XXXXX876]",
+    "[XXXXX1143]",
+    "[XXXXX355]",
+    "[XXXXX450]",
+    "[XXXXX642]",
+    "[XXXXX162]",
+    "[XXXXX394]",
+    "[XXXXX296]",
+    "[XXXXX536]",
+    "[XXXXX560]",
+    "[XXXXX373]",
+    "[XXXXX674]",
+    "[XXXXX1099]",
+    "[XXXXX797]",
+    "[XXXXX516]",
+    "[XXXXX41]",
+    "[XXXXX594]",
+    "[XXXXX319]",
+    "[XXXXX165]",
+    "[XXXXX344]",
+    "[XXXXX1012]",
+    "[XXXXX942]",
+    "[XXXXX1071]",
+    "[XXXXX648]",
+    "[XXXXX4]",
+    "[XXXXX633]",
+    "[XXXXX551]",
+    "[XXXXX586]",
+    "[XXXXX578]",
+    "[XXXXX348]",
+    "[XXXXX614]",
+    "[XXXXX33]",
+    "[XXXXX1193]",
+    "[XXXXX737]",
+    "[XXXXX233]",
+    "[XXXXX933]",
+    "[XXXXX781]",
+    "[XXXXX189]",
+    "[XXXXX1006]",
+    "[XXXXX219]",
+    "[XXXXX454]",
+    "[XXXXX449]",
+    "[XXXXX697]",
+    "[XXXXX724]",
+    "[XXXXX224]",
+    "[XXXXX1157]",
+    "[XXXXX455]",
+    "[XXXXX505]",
+    "[XXXXX96]",
+    "[XXXXX182]",
+    "[XXXXX424]",
+    "[XXXXX872]",
+    "[XXXXX1163]",
+    "[XXXXX1081]",
+    "[XXXXX1173]",
+    "[XXXXX172]",
+    "[XXXXX507]",
+    "[XXXXX920]",
+    "[XXXXX1126]",
+    "[XXXXX474]",
+    "[XXXXX971]",
+    "[XXXXX1049]",
+    "[XXXXX1114]",
+    "[XXXXX1040]",
+    "[XXXXX79]",
+    "[XXXXX36]",
+    "[XXXXX977]",
+    "[XXXXX1129]",
+    "[XXXXX1063]",
+    "[XXXXX773]",
+    "[XXXXX16]",
+    "[XXXXX113]",
+    "[XXXXX320]",
+    "[XXXXX167]",
+    "[XXXXX751]",
+    "[XXXXX656]",
+    "[XXXXX543]",
+    "[XXXXX828]",
+    "[XXXXX915]",
+    "[XXXXX1098]",
+    "[XXXXX569]",
+    "[XXXXX1166]",
+    "[XXXXX846]",
+    "[XXXXX324]",
+    "[XXXXX802]",
+    "[XXXXX588]",
+    "[XXXXX739]",
+    "[XXXXX50]",
+    "[XXXXX882]",
+    "[XXXXX1054]",
+    "[XXXXX621]",
+    "[XXXXX585]",
+    "[XXXXX121]",
+    "[XXXXX647]",
+    "[XXXXX767]",
+    "[XXXXX645]",
+    "[XXXXX27]",
+    "[XXXXX907]",
+    "[XXXXX1109]",
+    "[XXXXX1147]",
+    "[XXXXX501]",
+    "[XXXXX1164]",
+    "[XXXXX650]",
+    "[XXXXX329]",
+    "[XXXXX659]",
+    "[XXXXX1158]",
+    "[XXXXX104]",
+    "[XXXXX629]",
+    "[XXXXX868]",
+    "[XXXXX779]",
+    "[XXXXX17]",
+    "[XXXXX377]",
+    "[XXXXX467]",
+    "[XXXXX917]",
+    "[XXXXX830]",
+    "[XXXXX533]",
+    "[XXXXX862]",
+    "[XXXXX1041]",
+    "[XXXXX542]",
+    "[XXXXX595]",
+    "[XXXXX353]",
+    "[XXXXX181]",
+    "[XXXXX662]",
+    "[XXXXX1195]",
+    "[XXXXX435]",
+    "[XXXXX1051]",
+    "[XXXXX703]",
+    "[XXXXX1140]",
+    "[XXXXX750]",
+    "[XXXXX57]",
+    "[XXXXX75]",
+    "[XXXXX293]",
+    "[XXXXX681]",
+    "[XXXXX46]",
+    "[XXXXX30]",
+    "[XXXXX402]",
+    "[XXXXX803]",
+    "[XXXXX821]",
+    "[XXXXX871]",
+    "[XXXXX980]",
+    "[XXXXX990]",
+    "[XXXXX626]",
+    "[XXXXX90]",
+    "[XXXXX77]",
+    "[XXXXX819]",
+    "[XXXXX436]",
+    "[XXXXX306]",
+    "[XXXXX434]",
+    "[XXXXX88]",
+    "[XXXXX184]",
+    "[XXXXX290]",
+    "[XXXXX216]",
+    "[XXXXX176]",
+    "[XXXXX747]",
+    "[XXXXX938]",
+    "[XXXXX442]",
+    "[XXXXX301]",
+    "[XXXXX1015]",
+    "[XXXXX520]",
+    "[XXXXX829]",
+    "[XXXXX106]",
+    "[XXXXX1048]",
+    "[XXXXX923]",
+    "[XXXXX958]",
+    "[XXXXX1130]",
+    "[XXXXX89]",
+    "[XXXXX548]",
+    "[XXXXX863]",
+    "[XXXXX444]",
+    "[XXXXX1149]",
+    "[XXXXX866]",
+    "[XXXXX109]",
+    "[XXXXX550]",
+    "[XXXXX727]",
+    "[XXXXX646]",
+    "[XXXXX702]",
+    "[XXXXX204]",
+    "[XXXXX1000]",
+    "[XXXXX591]",
+    "[XXXXX1128]",
+    "[XXXXX937]",
+    "[XXXXX141]",
+    "[XXXXX273]",
+    "[XXXXX1183]",
+    "[XXXXX765]",
+    "[XXXXX371]",
+    "[XXXXX256]",
+    "[XXXXX964]",
+    "[XXXXX1148]",
+    "[XXXXX930]",
+    "[XXXXX212]",
+    "[XXXXX133]",
+    "[XXXXX608]",
+    "[XXXXX281]",
+    "[XXXXX1045]",
+    "[XXXXX928]",
+    "[XXXXX1154]",
+    "[XXXXX334]",
+    "[XXXXX861]",
+    "[XXXXX87]",
+    "[XXXXX941]",
+    "[XXXXX359]",
+    "[XXXXX55]",
+    "[XXXXX842]",
+    "[XXXXX427]",
+    "[XXXXX491]",
+    "[XXXXX137]",
+    "[XXXXX47]",
+    "[XXXXX511]",
+    "[XXXXX81]",
+    "[XXXXX139]",
+    "[XXXXX226]",
+    "[XXXXX563]",
+    "[XXXXX708]",
+    "[XXXXX820]",
+    "[XXXXX65]",
+    "[XXXXX381]",
+    "[XXXXX22]",
+    "[XXXXX1064]",
+    "[XXXXX874]",
+    "[XXXXX944]",
+    "[XXXXX6]",
+    "[XXXXX313]",
+    "[XXXXX471]",
+    "[XXXXX1118]",
+    "[XXXXX849]",
+    "[XXXXX483]",
+    "[XXXXX713]",
+    "[XXXXX222]",
+    "[XXXXX640]",
+    "[XXXXX12]",
+    "[XXXXX285]",
+    "[XXXXX327]",
+    "[XXXXX378]",
+    "[XXXXX790]",
+    "[XXXXX1179]",
+    "[XXXXX15]",
+    "[XXXXX229]",
+    "[XXXXX771]",
+    "[XXXXX559]",
+    "[XXXXX253]",
+    "[XXXXX644]",
+    "[XXXXX811]",
+    "[XXXXX554]",
+    "[XXXXX744]",
+    "[XXXXX786]",
+    "[XXXXX913]",
+    "[XXXXX966]",
+    "[XXXXX972]",
+    "[XXXXX664]",
+    "[XXXXX1131]",
+    "[XXXXX1132]",
+    "[XXXXX376]",
+    "[XXXXX672]",
+    "[XXXXX1013]",
+    "[XXXXX328]",
+    "[XXXXX889]",
+    "[XXXXX1141]",
+    "[XXXXX429]",
+    "[XXXXX114]",
+    "[XXXXX523]",
+    "[XXXXX833]",
+    "[XXXXX927]",
+    "[XXXXX297]",
+    "[XXXXX812]",
+    "[XXXXX1062]",
+    "[XXXXX152]",
+    "[XXXXX1010]",
+    "[XXXXX690]",
+    "[XXXXX363]",
+    "[XXXXX1103]",
+    "[XXXXX194]",
+    "[XXXXX844]",
+    "[XXXXX667]",
+    "[XXXXX720]",
+    "[XXXXX770]",
+    "[XXXXX515]",
+    "[XXXXX196]",
+    "[XXXXX283]",
+    "[XXXXX95]",
+    "[XXXXX528]",
+    "[XXXXX749]",
+    "[XXXXX934]",
+    "[XXXXX1052]",
+    "[XXXXX1188]",
+    "[XXXXX1001]",
+    "[XXXXX785]",
+    "[XXXXX393]",
+    "[XXXXX502]",
+    "[XXXXX404]",
+    "[XXXXX129]",
+    "[XXXXX643]",
+    "[XXXXX1086]",
+    "[XXXXX1104]",
+    "[XXXXX326]",
+    "[XXXXX330]",
+    "[XXXXX620]",
+    "[XXXXX193]",
+    "[XXXXX470]",
+    "[XXXXX279]",
+    "[XXXXX97]",
+    "[XXXXX177]",
+    "[XXXXX510]",
+    "[XXXXX225]",
+    "[XXXXX572]",
+    "[XXXXX777]",
+    "[XXXXX1135]",
+    "[XXXXX1160]",
+    "[XXXXX558]",
+    "[XXXXX416]",
+    "[XXXXX246]",
+    "[XXXXX799]",
+    "[XXXXX153]",
+    "[XXXXX671]",
+    "[XXXXX809]",
+    "[XXXXX525]",
+    "[XXXXX1004]",
+    "[XXXXX1005]",
+    "[XXXXX1194]",
+    "[XXXXX408]",
+    "[XXXXX492]",
+    "[XXXXX973]",
+    "[XXXXX242]",
+    "[XXXXX357]",
+    "[XXXXX851]",
+    "[XXXXX999]",
+    "[XXXXX969]",
+    "[XXXXX453]",
+    "[XXXXX730]",
+    "[XXXXX54]",
+    "[XXXXX480]",
+    "[XXXXX564]",
+    "[XXXXX600]",
+    "[XXXXX654]",
+    "[XXXXX37]",
+    "[XXXXX605]",
+    "[XXXXX164]",
+    "[XXXXX395]",
+    "[XXXXX401]",
+    "[XXXXX446]",
+    "[XXXXX658]",
+    "[XXXXX60]",
+    "[XXXXX107]",
+    "[XXXXX131]",
+    "[XXXXX387]",
+    "[XXXXX67]",
+    "[XXXXX743]",
+    "[XXXXX657]",
+    "[XXXXX418]",
+    "[XXXXX787]",
+    "[XXXXX838]",
+    "[XXXXX298]",
+    "[XXXXX1007]",
+    "[XXXXX1027]",
+    "[XXXXX1078]",
+    "[XXXXX651]",
+    "[XXXXX875]",
+    "[XXXXX258]",
+    "[XXXXX413]",
+    "[XXXXX1092]",
+    "[XXXXX124]",
+    "[XXXXX308]",
+    "[XXXXX1085]",
+    "[XXXXX1170]",
+    "[XXXXX38]",
+    "[XXXXX438]",
+    "[XXXXX475]",
+    "[XXXXX900]",
+    "[XXXXX263]",
+    "[XXXXX166]",
+    "[XXXXX698]",
+    "[XXXXX1127]",
+    "[XXXXX1181]",
+    "[XXXXX763]",
+    "[XXXXX627]",
+    "[XXXXX250]",
+    "[XXXXX757]",
+    "[XXXXX142]",
+    "[XXXXX794]",
+    "[XXXXX128]",
+    "[XXXXX35]",
+    "[XXXXX482]",
+    "[XXXXX834]",
+    "[XXXXX679]",
+    "[XXXXX839]",
+    "[XXXXX138]",
+    "[XXXXX1066]",
+    "[XXXXX116]",
+    "[XXXXX317]",
+    "[XXXXX490]",
+    "[XXXXX443]",
+    "[XXXXX879]",
+    "[XXXXX1101]",
+    "[XXXXX711]",
+    "[XXXXX123]",
+    "[XXXXX1152]",
+    "[XXXXX692]",
+    "[XXXXX555]",
+    "[XXXXX266]",
+    "[XXXXX0]",
+    "[XXXXX332]",
+    "[XXXXX497]",
+    "[XXXXX904]",
+    "[XXXXX1019]",
+    "[XXXXX709]",
+    "[XXXXX351]",
+    "[XXXXX764]",
+    "[XXXXX625]",
+    "[XXXXX798]",
+    "[XXXXX205]",
+    "[XXXXX922]",
+    "[XXXXX1075]",
+    "[XXXXX8]",
+    "[XXXXX422]",
+    "[XXXXX638]",
+    "[XXXXX98]",
+    "[XXXXX814]",
+    "[XXXXX1057]",
+    "[XXXXX1070]",
+    "[XXXXX411]",
+    "[XXXXX768]",
+    "[XXXXX1165]",
+    "[XXXXX888]",
+    "[XXXXX636]",
+    "[XXXXX1047]",
+    "[XXXXX960]",
+    "[XXXXX910]",
+    "[XXXXX42]",
+    "[XXXXX238]",
+    "[XXXXX383]",
+    "[XXXXX1032]",
+    "[XXXXX577]",
+    "[XXXXX268]",
+    "[XXXXX179]",
+    "[XXXXX1076]",
+    "[XXXXX1167]",
+    "[XXXXX1172]",
+    "[XXXXX665]",
+    "[XXXXX126]",
+    "[XXXXX347]",
+    "[XXXXX544]",
+    "[XXXXX1026]",
+    "[XXXXX159]",
+    "[XXXXX503]",
+    "[XXXXX583]",
+    "[XXXXX668]",
+    "[XXXXX1115]",
+    "[XXXXX112]",
+    "[XXXXX154]",
+    "[XXXXX761]",
+    "[XXXXX540]",
+    "[XXXXX755]",
+    "[XXXXX255]",
+    "[XXXXX459]",
+    "[XXXXX1090]",
+    "[XXXXX689]",
+    "[XXXXX589]",
+    "[XXXXX122]",
+    "[XXXXX789]",
+    "[XXXXX481]",
+    "[XXXXX1044]",
+    "[XXXXX274]",
+    "[XXXXX957]",
+    "[XXXXX1121]",
+    "[XXXXX464]",
+    "[XXXXX495]",
+    "[XXXXX1097]",
+    "[XXXXX581]",
+    "[XXXXX200]",
+    "[XXXXX954]",
+    "[XXXXX48]",
+    "[XXXXX855]",
+    "[XXXXX419]",
+    "[XXXXX919]",
+    "[XXXXX451]",
+    "[XXXXX869]",
+    "[XXXXX1082]",
+    "[XXXXX1185]",
+    "[XXXXX859]",
+    "[XXXXX1139]",
+    "[XXXXX1072]",
+    "[XXXXX220]",
+    "[XXXXX465]",
+    "[XXXXX1105]",
+    "[XXXXX1093]",
+    "[XXXXX953]",
+    "[XXXXX1187]",
+    "[XXXXX311]",
+    "[XXXXX403]",
+    "[XXXXX684]",
+    "[XXXXX426]",
+    "[XXXXX68]",
+    "[XXXXX277]",
+    "[XXXXX437]",
+    "[XXXXX896]",
+    "[XXXXX899]",
+    "[XXXXX878]",
+    "[XXXXX1073]",
+    "[XXXXX774]",
+    "[XXXXX315]",
+    "[XXXXX631]",
+    "[XXXXX223]",
+    "[XXXXX86]",
+    "[XXXXX607]",
+    "[XXXXX149]",
+    "[XXXXX566]",
+    "[XXXXX740]",
+    "[XXXXX265]",
+    "[XXXXX399]",
+    "[XXXXX1053]",
+    "[XXXXX1077]",
+    "[XXXXX336]",
+    "[XXXXX734]",
+    "[XXXXX289]",
+    "[XXXXX221]",
+    "[XXXXX580]",
+    "[XXXXX406]",
+    "[XXXXX854]",
+    "[XXXXX673]",
+    "[XXXXX1146]",
+    "[XXXXX29]",
+    "[XXXXX496]",
+    "[XXXXX241]",
+    "[XXXXX929]",
+    "[XXXXX169]",
+    "[XXXXX1153]",
+    "[XXXXX440]",
+    "[XXXXX385]",
+    "[XXXXX499]",
+    "[XXXXX718]",
+    "[XXXXX848]",
+    "[XXXXX877]",
+    "[XXXXX641]",
+    "[XXXXX1137]",
+    "[XXXXX269]",
+    "[XXXXX521]",
+    "[XXXXX234]",
+    "[XXXXX987]",
+    "[XXXXX741]",
+    "[XXXXX349]",
+    "[XXXXX93]",
+    "[XXXXX247]",
+    "[XXXXX961]",
+    "[XXXXX1120]",
+    "[XXXXX369]",
+    "[XXXXX479]",
+    "[XXXXX892]",
+    "[XXXXX553]",
+    "[XXXXX906]",
+    "[XXXXX571]",
+    "[XXXXX1046]",
+    "[XXXXX206]",
+    "[XXXXX488]",
+    "[XXXXX445]",
+    "[XXXXX524]",
+    "[XXXXX228]",
+    "[XXXXX998]",
+    "[XXXXX675]",
+    "[XXXXX732]",
+    "[XXXXX1028]",
+    "[XXXXX494]",
+    "[XXXXX965]",
+    "[XXXXX1021]",
+    "[XXXXX726]",
+    "[XXXXX168]",
+    "[XXXXX606]",
+    "[XXXXX974]",
+    "[XXXXX504]",
+    "[XXXXX556]",
+    "[XXXXX1159]",
+    "[XXXXX417]",
+    "[XXXXX1175]",
+    "[XXXXX1142]",
+    "[XXXXX753]",
+    "[XXXXX824]",
+    "[XXXXX251]",
+    "[XXXXX345]",
+    "[XXXXX610]",
+    "[XXXXX276]",
+    "[XXXXX783]",
+    "[XXXXX74]",
+    "[XXXXX1050]",
+    "[XXXXX71]",
+    "[XXXXX360]",
+    "[XXXXX512]",
+    "[XXXXX341]",
+    "[XXXXX375]",
+    "[XXXXX637]",
+    "[XXXXX1116]",
+    "[XXXXX9]",
+    "[XXXXX738]",
+    "[XXXXX856]",
+    "[XXXXX979]",
+    "[XXXXX825]",
+    "[XXXXX852]",
+    "[XXXXX215]",
+    "[XXXXX91]",
+    "[XXXXX257]",
+    "[XXXXX325]",
+    "[XXXXX368]",
+    "[XXXXX1124]",
+    "[XXXXX188]",
+    "[XXXXX905]",
+    "[XXXXX284]",
+    "[XXXXX11]",
+    "[XXXXX83]",
+    "[XXXXX611]",
+    "[XXXXX51]",
+    "[XXXXX99]",
+    "[XXXXX288]",
+    "[XXXXX945]",
+    "[XXXXX975]",
+    "[XXXXX282]",
+    "[XXXXX1068]",
+    "[XXXXX1180]",
+    "[XXXXX574]",
+    "[XXXXX305]",
+    "[XXXXX565]",
+    "[XXXXX865]",
+    "[XXXXX1014]",
+    "[XXXXX1138]",
+    "[XXXXX134]",
+    "[XXXXX321]",
+    "[XXXXX752]",
+    "[XXXXX108]",
+    "[XXXXX339]",
+    "[XXXXX893]",
+    "[XXXXX1177]",
+    "[XXXXX988]",
+    "[XXXXX719]",
+    "[XXXXX1059]",
+    "[XXXXX421]",
+    "[XXXXX670]",
+    "[XXXXX949]",
+    "[XXXXX14]",
+    "[XXXXX1087]",
+    "[XXXXX382]",
+    "[XXXXX531]",
+    "[XXXXX1079]",
+    "[XXXXX1067]",
+    "[XXXXX655]",
+    "[XXXXX340]",
+    "[XXXXX398]",
+    "[XXXXX175]",
+    "[XXXXX232]",
+    "[XXXXX244]",
+    "[XXXXX568]",
+    "[XXXXX1110]",
+    "[XXXXX191]",
+    "[XXXXX931]",
+    "[XXXXX832]",
+    "[XXXXX1030]",
+    "[XXXXX144]",
+    "[XXXXX1102]",
+    "[XXXXX300]",
+    "[XXXXX996]",
+    "[XXXXX248]",
+    "[XXXXX66]",
+    "[XXXXX735]",
+    "[XXXXX20]",
+    "[XXXXX694]",
+    "[XXXXX845]",
+    "[XXXXX500]",
+    "[XXXXX613]",
+    "[XXXXX117]",
+    "[XXXXX886]",
+    "[XXXXX261]",
+    "[XXXXX567]",
+    "[XXXXX541]",
+    "[XXXXX529]",
+    "[XXXXX699]",
+    "[XXXXX715]",
+    "[XXXXX1003]",
+    "[XXXXX518]",
+    "[XXXXX891]",
+    "[XXXXX192]",
+    "[XXXXX53]",
+    "[XXXXX428]",
+    "[XXXXX183]",
+    "[XXXXX850]",
+    "[XXXXX539]",
+    "[XXXXX527]",
+    "[XXXXX660]",
+    "[XXXXX409]",
+    "[XXXXX1122]",
+    "[XXXXX898]",
+    "[XXXXX858]",
+    "[XXXXX534]",
+    "[XXXXX756]",
+    "[XXXXX63]",
+    "[XXXXX49]",
+    "[XXXXX1106]",
+    "[XXXXX111]",
+    "[XXXXX955]",
+    "[XXXXX309]",
+    "[XXXXX538]",
+    "[XXXXX823]",
+    "[XXXXX867]",
+    "[XXXXX587]",
+    "[XXXXX243]",
+    "[XXXXX677]",
+    "[XXXXX1017]",
+    "[XXXXX173]",
+    "[XXXXX682]",
+    "[XXXXX1184]",
+    "[XXXXX1009]",
+    "[XXXXX704]",
+    "[XXXXX532]",
+    "[XXXXX901]",
+    "[XXXXX120]",
+    "[XXXXX388]",
+    "[XXXXX405]",
+    "[XXXXX788]",
+    "[XXXXX728]",
+    "[XXXXX425]",
+    "[XXXXX883]",
+    "[XXXXX837]",
+    "[XXXXX350]",
+    "[XXXXX716]",
+    "[XXXXX579]",
+    "[XXXXX909]",
+    "[XXXXX884]",
+    "[XXXXX1011]",
+    "[XXXXX372]",
+    "[XXXXX370]",
+    "[XXXXX468]",
+    "[XXXXX688]",
+    "[XXXXX56]",
+    "[XXXXX653]",
+    "[XXXXX623]",
+    "[XXXXX552]",
+    "[XXXXX314]",
+    "[XXXXX1018]",
+    "[XXXXX1091]",
+    "[XXXXX342]",
+    "[XXXXX1065]",
+    "[XXXXX1161]",
+    "[XXXXX959]",
+    "[XXXXX1035]",
+    "[XXXXX530]",
+    "[XXXXX69]",
+    "[XXXXX489]",
+    "[XXXXX1]",
+    "[XXXXX207]",
+    "[XXXXX433]",
+    "[XXXXX358]",
+    "[XXXXX601]",
+    "[XXXXX2]",
+    "[XXXXX722]",
+    "[XXXXX985]",
+    "[XXXXX908]",
+    "[XXXXX1024]",
+    "[XXXXX1111]",
+    "[XXXXX1113]",
+    "[XXXXX678]",
+    "[XXXXX19]",
+    "[XXXXX1186]",
+    "[XXXXX808]",
+    "[XXXXX493]",
+    "[XXXXX1155]",
+    "[XXXXX217]",
+    "[XXXXX616]",
+    "[XXXXX835]",
+    "[XXXXX994]",
+    "[XXXXX484]",
+    "[XXXXX362]",
+    "[XXXXX582]",
+    "[XXXXX1034]",
+    "[XXXXX772]",
+    "[XXXXX457]",
+    "[XXXXX604]",
+    "[XXXXX456]",
+    "[XXXXX145]",
+    "[XXXXX476]",
+    "[XXXXX218]",
+    "[XXXXX199]",
+    "[XXXXX364]",
+    "[XXXXX302]",
+    "[XXXXX881]",
+    "[XXXXX1088]",
+    "[XXXXX356]",
+    "[XXXXX936]",
+    "[XXXXX978]",
+    "[XXXXX895]",
+    "[XXXXX993]",
+    "[XXXXX458]",
+    "[XXXXX1002]",
+    "[XXXXX1022]",
+    "[XXXXX25]",
+    "[XXXXX766]",
+    "[XXXXX64]",
+    "[XXXXX211]",
+    "[XXXXX82]",
+    "[XXXXX634]",
+    "[XXXXX661]",
+    "[XXXXX748]",
+    "[XXXXX778]",
+    "[XXXXX24]",
+    "[XXXXX448]",
+    "[XXXXX887]",
+    "[XXXXX890]",
+    "[XXXXX754]",
+    "[XXXXX343]",
+    "[XXXXX1069]",
+    "[XXXXX294]",
+    "[XXXXX295]",
+    "[XXXXX197]",
+    "[XXXXX210]",
+    "[XXXXX630]",
+    "[XXXXX707]",
+    "[XXXXX864]",
+    "[XXXXX391]",
+    "[XXXXX338]",
+    "[XXXXX800]",
+    "[XXXXX841]",
+    "[XXXXX967]",
+    "[XXXXX793]",
+    "[XXXXX916]",
+    "[XXXXX603]",
+    "[XXXXX270]",
+    "[XXXXX105]",
+    "[XXXXX1016]",
+    "[XXXXX804]",
+    "[XXXXX264]",
+    "[XXXXX155]",
+    "[XXXXX1190]",
+    "[XXXXX813]",
+    "[XXXXX546]"
+  ],
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "keep_accents": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}
diff --git a/training_args.bin b/training_args.bin
new file mode 100644
index 0000000..47a7b32
--- /dev/null
+++ b/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e406e906697be5d5c4bea7f90a038122ca162eb6b7e40512a32661ef55af9075
+size 6353